diff --git a/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/20221026_193523.log b/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/20221026_193523.log new file mode 100644 index 0000000000000000000000000000000000000000..fbe1d79baf450d3f0ca8bca02dfe6b9dd5de99a6 --- /dev/null +++ b/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/20221026_193523.log @@ -0,0 +1,3432 @@ +2022-10-26 19:35:23,763 - mmdet - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.3, V11.3.109 +GCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0 +PyTorch: 1.10.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.11.1+cu113 +OpenCV: 4.6.0 +MMCV: 1.6.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.3 +MMDetection: 2.25.2+2d311f3 +------------------------------------------------------------ + +2022-10-26 19:35:26,492 - mmdet - INFO - Distributed training: True +2022-10-26 19:35:29,245 - mmdet - INFO - Config: +model = dict( + type='DETR', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(3, ), + frozen_stages=4, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch', + init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50')), + bbox_head=dict( + type='DETRHead', + num_classes=256, + in_channels=2048, + transformer=dict( + type='Transformer', + encoder=dict( + type='DetrTransformerEncoder', + num_layers=6, + transformerlayers=dict( + type='BaseTransformerLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=256, + num_heads=8, + dropout=0.1) + ], + feedforward_channels=2048, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'ffn', 'norm'))), + decoder=dict( + type='DetrTransformerDecoder', + return_intermediate=True, + num_layers=6, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=dict( + type='MultiheadAttention', + embed_dims=256, + num_heads=8, + dropout=0.1), + feedforward_channels=2048, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + positional_encoding=dict( + type='SinePositionalEncoding', num_feats=128, normalize=True), + loss_cls=dict( + type='CrossEntropyLoss', + bg_cls_weight=0.1, + use_sigmoid=False, + loss_weight=1.0, + class_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=5.0), + loss_iou=dict(type='GIoULoss', loss_weight=2.0)), + train_cfg=dict( + assigner=dict( + type='HungarianAssigner', + cls_cost=dict(type='ClassificationCost', weight=1.0), + reg_cost=dict(type='BBoxL1Cost', weight=5.0, box_format='xywh'), + iou_cost=dict(type='IoUCost', iou_mode='giou', weight=2.0))), + test_cfg=dict(max_per_img=100)) +dataset_type = 'CocoDataset' +data_root = 'data/coco/' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict( + type='AutoAugment', + policies=[[{ + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), (544, 1333), (576, 1333), + (608, 1333), (640, 1333), (672, 1333), (704, 1333), + (736, 1333), (768, 1333), (800, 1333)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }], + [{ + 'type': 'Resize', + 'img_scale': [(400, 1333), (500, 1333), (600, 1333)], + 'multiscale_mode': 'value', + 'keep_ratio': True + }, { + 'type': 'RandomCrop', + 'crop_type': 'absolute_range', + 'crop_size': (384, 600), + 'allow_negative_crop': True + }, { + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), (544, 1333), + (576, 1333), (608, 1333), (640, 1333), + (672, 1333), (704, 1333), (736, 1333), + (768, 1333), (800, 1333)], + 'multiscale_mode': + 'value', + 'override': + True, + 'keep_ratio': + True + }]]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=1), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type='CocoDataset', + ann_file='train2017_ratio3size0008@0.5_cluster-id-as-class.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict( + type='AutoAugment', + policies=[[{ + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), (544, 1333), + (576, 1333), (608, 1333), (640, 1333), + (672, 1333), (704, 1333), (736, 1333), + (768, 1333), (800, 1333)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }], + [{ + 'type': 'Resize', + 'img_scale': [(400, 1333), (500, 1333), + (600, 1333)], + 'multiscale_mode': 'value', + 'keep_ratio': True + }, { + 'type': 'RandomCrop', + 'crop_type': 'absolute_range', + 'crop_size': (384, 600), + 'allow_negative_crop': True + }, { + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), + (544, 1333), (576, 1333), + (608, 1333), (640, 1333), + (672, 1333), (704, 1333), + (736, 1333), (768, 1333), + (800, 1333)], + 'multiscale_mode': + 'value', + 'override': + True, + 'keep_ratio': + True + }]]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=1), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) + ], + classes=[ + 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', + 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', + 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', + 'cluster_15', 'cluster_16', 'cluster_17', 'cluster_18', + 'cluster_19', 'cluster_20', 'cluster_21', 'cluster_22', + 'cluster_23', 'cluster_24', 'cluster_25', 'cluster_26', + 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', + 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', + 'cluster_35', 'cluster_36', 'cluster_37', 'cluster_38', + 'cluster_39', 'cluster_40', 'cluster_41', 'cluster_42', + 'cluster_43', 'cluster_44', 'cluster_45', 'cluster_46', + 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', + 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', + 'cluster_55', 'cluster_56', 'cluster_57', 'cluster_58', + 'cluster_59', 'cluster_60', 'cluster_61', 'cluster_62', + 'cluster_63', 'cluster_64', 'cluster_65', 'cluster_66', + 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', + 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', + 'cluster_75', 'cluster_76', 'cluster_77', 'cluster_78', + 'cluster_79', 'cluster_80', 'cluster_81', 'cluster_82', + 'cluster_83', 'cluster_84', 'cluster_85', 'cluster_86', + 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', + 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', + 'cluster_95', 'cluster_96', 'cluster_97', 'cluster_98', + 'cluster_99', 'cluster_100', 'cluster_101', 'cluster_102', + 'cluster_103', 'cluster_104', 'cluster_105', 'cluster_106', + 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', + 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', + 'cluster_115', 'cluster_116', 'cluster_117', 'cluster_118', + 'cluster_119', 'cluster_120', 'cluster_121', 'cluster_122', + 'cluster_123', 'cluster_124', 'cluster_125', 'cluster_126', + 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', + 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', + 'cluster_135', 'cluster_136', 'cluster_137', 'cluster_138', + 'cluster_139', 'cluster_140', 'cluster_141', 'cluster_142', + 'cluster_143', 'cluster_144', 'cluster_145', 'cluster_146', + 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', + 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', + 'cluster_155', 'cluster_156', 'cluster_157', 'cluster_158', + 'cluster_159', 'cluster_160', 'cluster_161', 'cluster_162', + 'cluster_163', 'cluster_164', 'cluster_165', 'cluster_166', + 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', + 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', + 'cluster_175', 'cluster_176', 'cluster_177', 'cluster_178', + 'cluster_179', 'cluster_180', 'cluster_181', 'cluster_182', + 'cluster_183', 'cluster_184', 'cluster_185', 'cluster_186', + 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', + 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', + 'cluster_195', 'cluster_196', 'cluster_197', 'cluster_198', + 'cluster_199', 'cluster_200', 'cluster_201', 'cluster_202', + 'cluster_203', 'cluster_204', 'cluster_205', 'cluster_206', + 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', + 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', + 'cluster_215', 'cluster_216', 'cluster_217', 'cluster_218', + 'cluster_219', 'cluster_220', 'cluster_221', 'cluster_222', + 'cluster_223', 'cluster_224', 'cluster_225', 'cluster_226', + 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', + 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', + 'cluster_235', 'cluster_236', 'cluster_237', 'cluster_238', + 'cluster_239', 'cluster_240', 'cluster_241', 'cluster_242', + 'cluster_243', 'cluster_244', 'cluster_245', 'cluster_246', + 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', + 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', + 'cluster_255', 'cluster_256' + ]), + val=dict( + type='CocoDataset', + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict( + interval=65535, metric='bbox', save_best='auto', gpu_collect=True) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='NumClassCheckHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='I2B', group='finetune'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=True, base_batch_size=64) +custom_imports = dict( + imports=[ + 'mmselfsup.datasets.pipelines', + 'selfsup.core.hook.momentum_update_hook', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.dense_heads.deformable_detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_deformable_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.assigners.hungarian_assigner', + 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +classes = [ + 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', + 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', + 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', 'cluster_15', + 'cluster_16', 'cluster_17', 'cluster_18', 'cluster_19', 'cluster_20', + 'cluster_21', 'cluster_22', 'cluster_23', 'cluster_24', 'cluster_25', + 'cluster_26', 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', + 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', 'cluster_35', + 'cluster_36', 'cluster_37', 'cluster_38', 'cluster_39', 'cluster_40', + 'cluster_41', 'cluster_42', 'cluster_43', 'cluster_44', 'cluster_45', + 'cluster_46', 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', + 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', 'cluster_55', + 'cluster_56', 'cluster_57', 'cluster_58', 'cluster_59', 'cluster_60', + 'cluster_61', 'cluster_62', 'cluster_63', 'cluster_64', 'cluster_65', + 'cluster_66', 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', + 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', 'cluster_75', + 'cluster_76', 'cluster_77', 'cluster_78', 'cluster_79', 'cluster_80', + 'cluster_81', 'cluster_82', 'cluster_83', 'cluster_84', 'cluster_85', + 'cluster_86', 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', + 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', 'cluster_95', + 'cluster_96', 'cluster_97', 'cluster_98', 'cluster_99', 'cluster_100', + 'cluster_101', 'cluster_102', 'cluster_103', 'cluster_104', 'cluster_105', + 'cluster_106', 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', + 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', 'cluster_115', + 'cluster_116', 'cluster_117', 'cluster_118', 'cluster_119', 'cluster_120', + 'cluster_121', 'cluster_122', 'cluster_123', 'cluster_124', 'cluster_125', + 'cluster_126', 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', + 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', 'cluster_135', + 'cluster_136', 'cluster_137', 'cluster_138', 'cluster_139', 'cluster_140', + 'cluster_141', 'cluster_142', 'cluster_143', 'cluster_144', 'cluster_145', + 'cluster_146', 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', + 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', 'cluster_155', + 'cluster_156', 'cluster_157', 'cluster_158', 'cluster_159', 'cluster_160', + 'cluster_161', 'cluster_162', 'cluster_163', 'cluster_164', 'cluster_165', + 'cluster_166', 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', + 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', 'cluster_175', + 'cluster_176', 'cluster_177', 'cluster_178', 'cluster_179', 'cluster_180', + 'cluster_181', 'cluster_182', 'cluster_183', 'cluster_184', 'cluster_185', + 'cluster_186', 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', + 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', 'cluster_195', + 'cluster_196', 'cluster_197', 'cluster_198', 'cluster_199', 'cluster_200', + 'cluster_201', 'cluster_202', 'cluster_203', 'cluster_204', 'cluster_205', + 'cluster_206', 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', + 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', 'cluster_215', + 'cluster_216', 'cluster_217', 'cluster_218', 'cluster_219', 'cluster_220', + 'cluster_221', 'cluster_222', 'cluster_223', 'cluster_224', 'cluster_225', + 'cluster_226', 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', + 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', 'cluster_235', + 'cluster_236', 'cluster_237', 'cluster_238', 'cluster_239', 'cluster_240', + 'cluster_241', 'cluster_242', 'cluster_243', 'cluster_244', 'cluster_245', + 'cluster_246', 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', + 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', 'cluster_255', + 'cluster_256' +] +optimizer = dict( + type='AdamW', + lr=0.0002, + weight_decay=0.0001, + paramwise_cfg=dict( + custom_keys=dict(backbone=dict(lr_mult=0, decay_mult=0)))) +optimizer_config = dict(grad_clip=dict(max_norm=0.1, norm_type=2)) +lr_config = dict(policy='step', step=[40]) +runner = dict(type='EpochBasedRunner', max_epochs=50) +work_dir = 'work_dirs/selfsup_detr_cluster-ids-as-pseudo-labels' +auto_resume = False +gpu_ids = range(0, 32) + +2022-10-26 19:35:29,245 - mmdet - INFO - Set random seed to 42, deterministic: False +2022-10-26 19:35:29,549 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'} +Name of parameter - Initialization information + +backbone.conv1.weight - torch.Size([64, 3, 7, 7]): +PretrainedInit: load from torchvision://resnet50 + +backbone.bn1.weight - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.bn1.bias - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.bn1.weight - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.bn1.bias - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.bn2.weight - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.bn2.bias - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.bn3.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.bn3.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.downsample.1.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.0.downsample.1.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.bn1.weight - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.bn1.bias - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.bn2.weight - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.bn2.bias - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.bn3.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.1.bn3.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.bn1.weight - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.bn1.bias - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.bn2.weight - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.bn2.bias - torch.Size([64]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.bn3.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer1.2.bn3.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.bn1.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.bn1.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.bn2.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.bn2.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.bn3.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.bn3.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.downsample.1.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.0.downsample.1.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.bn1.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.bn1.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.bn2.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.bn2.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.bn3.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.1.bn3.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.bn1.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.bn1.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.bn2.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.bn2.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.bn3.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.2.bn3.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.bn1.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.bn1.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.bn2.weight - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.bn2.bias - torch.Size([128]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.bn3.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer2.3.bn3.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.bn1.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.bn1.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.bn2.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.bn2.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.bn3.weight - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.bn3.bias - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.downsample.1.weight - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.0.downsample.1.bias - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.bn1.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.bn1.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.bn2.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.bn2.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.bn3.weight - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.1.bn3.bias - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.bn1.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.bn1.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.bn2.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.bn2.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.bn3.weight - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.2.bn3.bias - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.bn1.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.bn1.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.bn2.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.bn2.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.bn3.weight - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.3.bn3.bias - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.bn1.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.bn1.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.bn2.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.bn2.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.bn3.weight - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.4.bn3.bias - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.bn1.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.bn1.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.bn2.weight - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.bn2.bias - torch.Size([256]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.bn3.weight - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer3.5.bn3.bias - torch.Size([1024]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.bn1.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.bn1.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.bn2.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.bn2.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.bn3.weight - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.bn3.bias - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.downsample.1.weight - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.0.downsample.1.bias - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.bn1.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.bn1.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.bn2.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.bn2.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.bn3.weight - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.1.bn3.bias - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.bn1.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.bn1.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.bn2.weight - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.bn2.bias - torch.Size([512]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.bn3.weight - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +backbone.layer4.2.bn3.bias - torch.Size([2048]): +PretrainedInit: load from torchvision://resnet50 + +bbox_head.transformer.encoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.0.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.0.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.0.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.0.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.1.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.1.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.1.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.1.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.2.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.2.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.2.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.2.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.3.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.3.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.3.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.3.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.4.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.4.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.4.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.4.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.encoder.layers.5.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.5.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.5.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.encoder.layers.5.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.attentions.1.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.0.attentions.1.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.0.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.0.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.attentions.1.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.1.attentions.1.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.1.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.1.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.attentions.1.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.2.attentions.1.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.2.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.2.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.attentions.1.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.3.attentions.1.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.3.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.3.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.attentions.1.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.4.attentions.1.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.4.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.4.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.attentions.1.attn.in_proj_bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.5.attentions.1.attn.out_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in DETRHead + +bbox_head.transformer.decoder.layers.5.norms.0.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.norms.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.norms.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.norms.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.norms.2.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.layers.5.norms.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.post_norm.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.transformer.decoder.post_norm.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.input_proj.weight - torch.Size([256, 2048, 1, 1]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.input_proj.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.fc_cls.weight - torch.Size([257, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.fc_cls.bias - torch.Size([257]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.reg_ffn.layers.0.0.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.reg_ffn.layers.0.0.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.reg_ffn.layers.1.weight - torch.Size([256, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.reg_ffn.layers.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.fc_reg.weight - torch.Size([4, 256]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.fc_reg.bias - torch.Size([4]): +The value is the same before and after calling `init_weights` of DETR + +bbox_head.query_embedding.weight - torch.Size([100, 256]): +The value is the same before and after calling `init_weights` of DETR +2022-10-26 19:36:05,816 - mmdet - INFO - Training with 32 GPU(s) with 2 samples per GPU. The total batch size is 64. +2022-10-26 19:36:05,816 - mmdet - INFO - The batch size match the base batch size: 64, will not scaling the LR (0.0002). +2022-10-26 19:36:07,832 - mmdet - INFO - Start running, host: tiger@n136-147-154, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_detr_cluster-ids-as-pseudo-labels +2022-10-26 19:36:07,833 - mmdet - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) NumClassCheckHook +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) NumClassCheckHook +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +2022-10-26 19:36:07,833 - mmdet - INFO - workflow: [('train', 1)], max: 50 epochs +2022-10-26 19:36:07,833 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_detr_cluster-ids-as-pseudo-labels by HardDiskBackend. +2022-10-26 19:36:25,504 - mmdet - INFO - Epoch [1][50/1849] lr: 2.000e-04, eta: 7:15:03, time: 0.283, data_time: 0.062, memory: 2811, loss_cls: 5.3170, loss_bbox: 2.8348, loss_iou: 2.4330, d0.loss_cls: 5.3202, d0.loss_bbox: 2.9221, d0.loss_iou: 2.5309, d1.loss_cls: 5.3212, d1.loss_bbox: 2.8502, d1.loss_iou: 2.4398, d2.loss_cls: 5.3055, d2.loss_bbox: 2.8661, d2.loss_iou: 2.4604, d3.loss_cls: 5.3159, d3.loss_bbox: 2.8473, d3.loss_iou: 2.4528, d4.loss_cls: 5.3164, d4.loss_bbox: 2.8533, d4.loss_iou: 2.4600, loss: 63.8468, grad_norm: 193.2390 +2022-10-26 19:36:33,732 - mmdet - INFO - Epoch [1][100/1849] lr: 2.000e-04, eta: 5:44:03, time: 0.165, data_time: 0.004, memory: 2811, loss_cls: 5.2304, loss_bbox: 1.5561, loss_iou: 1.6833, d0.loss_cls: 5.2661, d0.loss_bbox: 1.6450, d0.loss_iou: 1.7756, d1.loss_cls: 5.2456, d1.loss_bbox: 1.5411, d1.loss_iou: 1.6928, d2.loss_cls: 5.2237, d2.loss_bbox: 1.5496, d2.loss_iou: 1.6781, d3.loss_cls: 5.2283, d3.loss_bbox: 1.5485, d3.loss_iou: 1.6805, d4.loss_cls: 5.2262, d4.loss_bbox: 1.5581, d4.loss_iou: 1.6878, loss: 51.0168, grad_norm: 299.1654 +2022-10-26 19:36:42,108 - mmdet - INFO - Epoch [1][150/1849] lr: 2.000e-04, eta: 5:15:08, time: 0.168, data_time: 0.005, memory: 2836, loss_cls: 5.0116, loss_bbox: 1.4530, loss_iou: 1.6632, d0.loss_cls: 5.1534, d0.loss_bbox: 1.5268, d0.loss_iou: 1.6800, d1.loss_cls: 5.0715, d1.loss_bbox: 1.3939, d1.loss_iou: 1.6642, d2.loss_cls: 5.0310, d2.loss_bbox: 1.3834, d2.loss_iou: 1.6625, d3.loss_cls: 5.0287, d3.loss_bbox: 1.3938, d3.loss_iou: 1.6523, d4.loss_cls: 5.0218, d4.loss_bbox: 1.4134, d4.loss_iou: 1.6548, loss: 48.8592, grad_norm: 208.1604 +2022-10-26 19:36:49,166 - mmdet - INFO - Epoch [1][200/1849] lr: 2.000e-04, eta: 4:50:29, time: 0.141, data_time: 0.004, memory: 3053, loss_cls: 4.7955, loss_bbox: 1.2946, loss_iou: 1.6497, d0.loss_cls: 4.9869, d0.loss_bbox: 1.4248, d0.loss_iou: 1.6450, d1.loss_cls: 4.8760, d1.loss_bbox: 1.2987, d1.loss_iou: 1.6424, d2.loss_cls: 4.8254, d2.loss_bbox: 1.2904, d2.loss_iou: 1.6441, d3.loss_cls: 4.8181, d3.loss_bbox: 1.2913, d3.loss_iou: 1.6413, d4.loss_cls: 4.8063, d4.loss_bbox: 1.2881, d4.loss_iou: 1.6451, loss: 46.8637, grad_norm: 160.0011 +2022-10-26 19:36:56,592 - mmdet - INFO - Epoch [1][250/1849] lr: 2.000e-04, eta: 4:37:54, time: 0.149, data_time: 0.005, memory: 3053, loss_cls: 4.5719, loss_bbox: 1.2961, loss_iou: 1.6465, d0.loss_cls: 4.7851, d0.loss_bbox: 1.3661, d0.loss_iou: 1.6669, d1.loss_cls: 4.6662, d1.loss_bbox: 1.2888, d1.loss_iou: 1.6492, d2.loss_cls: 4.6069, d2.loss_bbox: 1.2773, d2.loss_iou: 1.6446, d3.loss_cls: 4.5925, d3.loss_bbox: 1.2804, d3.loss_iou: 1.6419, d4.loss_cls: 4.5763, d4.loss_bbox: 1.2831, d4.loss_iou: 1.6442, loss: 45.4840, grad_norm: 153.4662 +2022-10-26 19:37:08,366 - mmdet - INFO - Epoch [1][300/1849] lr: 2.000e-04, eta: 4:51:44, time: 0.235, data_time: 0.005, memory: 3053, loss_cls: 4.3494, loss_bbox: 1.2708, loss_iou: 1.6221, d0.loss_cls: 4.5580, d0.loss_bbox: 1.3097, d0.loss_iou: 1.6450, d1.loss_cls: 4.4427, d1.loss_bbox: 1.2645, d1.loss_iou: 1.6276, d2.loss_cls: 4.3865, d2.loss_bbox: 1.2595, d2.loss_iou: 1.6205, d3.loss_cls: 4.3725, d3.loss_bbox: 1.2578, d3.loss_iou: 1.6146, d4.loss_cls: 4.3595, d4.loss_bbox: 1.2673, d4.loss_iou: 1.6180, loss: 43.8459, grad_norm: 105.5698 +2022-10-26 19:37:15,318 - mmdet - INFO - Epoch [1][350/1849] lr: 2.000e-04, eta: 4:40:24, time: 0.139, data_time: 0.004, memory: 3384, loss_cls: 4.2248, loss_bbox: 1.2391, loss_iou: 1.5935, d0.loss_cls: 4.3914, d0.loss_bbox: 1.2770, d0.loss_iou: 1.6245, d1.loss_cls: 4.2969, d1.loss_bbox: 1.2445, d1.loss_iou: 1.6109, d2.loss_cls: 4.2535, d2.loss_bbox: 1.2380, d2.loss_iou: 1.6012, d3.loss_cls: 4.2420, d3.loss_bbox: 1.2404, d3.loss_iou: 1.5996, d4.loss_cls: 4.2320, d4.loss_bbox: 1.2395, d4.loss_iou: 1.5971, loss: 42.7458, grad_norm: 82.3119 +2022-10-26 19:37:22,209 - mmdet - INFO - Epoch [1][400/1849] lr: 2.000e-04, eta: 4:31:39, time: 0.138, data_time: 0.004, memory: 3557, loss_cls: 4.0735, loss_bbox: 1.2443, loss_iou: 1.6017, d0.loss_cls: 4.2229, d0.loss_bbox: 1.2696, d0.loss_iou: 1.6163, d1.loss_cls: 4.1360, d1.loss_bbox: 1.2376, d1.loss_iou: 1.5993, d2.loss_cls: 4.0967, d2.loss_bbox: 1.2320, d2.loss_iou: 1.5926, d3.loss_cls: 4.0862, d3.loss_bbox: 1.2322, d3.loss_iou: 1.5961, d4.loss_cls: 4.0792, d4.loss_bbox: 1.2331, d4.loss_iou: 1.5929, loss: 41.7423, grad_norm: 71.8102 +2022-10-26 19:37:31,152 - mmdet - INFO - Epoch [1][450/1849] lr: 2.000e-04, eta: 4:31:48, time: 0.179, data_time: 0.004, memory: 3557, loss_cls: 3.9857, loss_bbox: 1.2169, loss_iou: 1.5724, d0.loss_cls: 4.1271, d0.loss_bbox: 1.2594, d0.loss_iou: 1.6072, d1.loss_cls: 4.0489, d1.loss_bbox: 1.2149, d1.loss_iou: 1.5827, d2.loss_cls: 4.0118, d2.loss_bbox: 1.2090, d2.loss_iou: 1.5745, d3.loss_cls: 4.0025, d3.loss_bbox: 1.2109, d3.loss_iou: 1.5756, d4.loss_cls: 3.9931, d4.loss_bbox: 1.2091, d4.loss_iou: 1.5719, loss: 40.9735, grad_norm: 66.0354 +2022-10-26 19:37:38,286 - mmdet - INFO - Epoch [1][500/1849] lr: 2.000e-04, eta: 4:26:22, time: 0.143, data_time: 0.005, memory: 3557, loss_cls: 3.8590, loss_bbox: 1.2082, loss_iou: 1.5739, d0.loss_cls: 4.0041, d0.loss_bbox: 1.2478, d0.loss_iou: 1.6058, d1.loss_cls: 3.9278, d1.loss_bbox: 1.2074, d1.loss_iou: 1.5791, d2.loss_cls: 3.8890, d2.loss_bbox: 1.2027, d2.loss_iou: 1.5729, d3.loss_cls: 3.8736, d3.loss_bbox: 1.2025, d3.loss_iou: 1.5723, d4.loss_cls: 3.8662, d4.loss_bbox: 1.1966, d4.loss_iou: 1.5670, loss: 40.1558, grad_norm: 67.9902 +2022-10-26 19:37:45,279 - mmdet - INFO - Epoch [1][550/1849] lr: 2.000e-04, eta: 4:21:29, time: 0.140, data_time: 0.004, memory: 3557, loss_cls: 3.7887, loss_bbox: 1.1943, loss_iou: 1.5544, d0.loss_cls: 3.9298, d0.loss_bbox: 1.2352, d0.loss_iou: 1.5846, d1.loss_cls: 3.8589, d1.loss_bbox: 1.2050, d1.loss_iou: 1.5651, d2.loss_cls: 3.8204, d2.loss_bbox: 1.1898, d2.loss_iou: 1.5517, d3.loss_cls: 3.8051, d3.loss_bbox: 1.1885, d3.loss_iou: 1.5542, d4.loss_cls: 3.7958, d4.loss_bbox: 1.1907, d4.loss_iou: 1.5535, loss: 39.5657, grad_norm: 53.2390 +2022-10-26 19:37:52,253 - mmdet - INFO - Epoch [1][600/1849] lr: 2.000e-04, eta: 4:17:21, time: 0.139, data_time: 0.004, memory: 3557, loss_cls: 3.7277, loss_bbox: 1.1677, loss_iou: 1.5383, d0.loss_cls: 3.8705, d0.loss_bbox: 1.2344, d0.loss_iou: 1.5888, d1.loss_cls: 3.8002, d1.loss_bbox: 1.1945, d1.loss_iou: 1.5538, d2.loss_cls: 3.7617, d2.loss_bbox: 1.1726, d2.loss_iou: 1.5357, d3.loss_cls: 3.7433, d3.loss_bbox: 1.1673, d3.loss_iou: 1.5352, d4.loss_cls: 3.7333, d4.loss_bbox: 1.1595, d4.loss_iou: 1.5318, loss: 39.0162, grad_norm: 64.1916 +2022-10-26 19:37:58,881 - mmdet - INFO - Epoch [1][650/1849] lr: 2.000e-04, eta: 4:13:02, time: 0.133, data_time: 0.004, memory: 3557, loss_cls: 3.6738, loss_bbox: 1.1703, loss_iou: 1.5284, d0.loss_cls: 3.8248, d0.loss_bbox: 1.2262, d0.loss_iou: 1.5737, d1.loss_cls: 3.7551, d1.loss_bbox: 1.1900, d1.loss_iou: 1.5437, d2.loss_cls: 3.7151, d2.loss_bbox: 1.1736, d2.loss_iou: 1.5294, d3.loss_cls: 3.6918, d3.loss_bbox: 1.1691, d3.loss_iou: 1.5287, d4.loss_cls: 3.6798, d4.loss_bbox: 1.1613, d4.loss_iou: 1.5226, loss: 38.6573, grad_norm: 49.7739 +2022-10-26 19:38:05,993 - mmdet - INFO - Epoch [1][700/1849] lr: 2.000e-04, eta: 4:10:22, time: 0.142, data_time: 0.004, memory: 3557, loss_cls: 3.6013, loss_bbox: 1.1562, loss_iou: 1.5240, d0.loss_cls: 3.7698, d0.loss_bbox: 1.2131, d0.loss_iou: 1.5734, d1.loss_cls: 3.6879, d1.loss_bbox: 1.1784, d1.loss_iou: 1.5402, d2.loss_cls: 3.6469, d2.loss_bbox: 1.1536, d2.loss_iou: 1.5183, d3.loss_cls: 3.6221, d3.loss_bbox: 1.1488, d3.loss_iou: 1.5143, d4.loss_cls: 3.6104, d4.loss_bbox: 1.1510, d4.loss_iou: 1.5180, loss: 38.1278, grad_norm: 50.8398 +2022-10-26 19:38:13,123 - mmdet - INFO - Epoch [1][750/1849] lr: 2.000e-04, eta: 4:08:05, time: 0.143, data_time: 0.004, memory: 3865, loss_cls: 3.5407, loss_bbox: 1.1460, loss_iou: 1.5159, d0.loss_cls: 3.7354, d0.loss_bbox: 1.2049, d0.loss_iou: 1.5684, d1.loss_cls: 3.6505, d1.loss_bbox: 1.1751, d1.loss_iou: 1.5425, d2.loss_cls: 3.5960, d2.loss_bbox: 1.1502, d2.loss_iou: 1.5190, d3.loss_cls: 3.5584, d3.loss_bbox: 1.1441, d3.loss_iou: 1.5112, d4.loss_cls: 3.5443, d4.loss_bbox: 1.1455, d4.loss_iou: 1.5136, loss: 37.7617, grad_norm: 40.0824 +2022-10-26 19:38:20,178 - mmdet - INFO - Epoch [1][800/1849] lr: 2.000e-04, eta: 4:05:55, time: 0.141, data_time: 0.004, memory: 3865, loss_cls: 3.4395, loss_bbox: 1.1307, loss_iou: 1.4909, d0.loss_cls: 3.6798, d0.loss_bbox: 1.2008, d0.loss_iou: 1.5624, d1.loss_cls: 3.5702, d1.loss_bbox: 1.1591, d1.loss_iou: 1.5128, d2.loss_cls: 3.5012, d2.loss_bbox: 1.1318, d2.loss_iou: 1.4869, d3.loss_cls: 3.4570, d3.loss_bbox: 1.1238, d3.loss_iou: 1.4840, d4.loss_cls: 3.4417, d4.loss_bbox: 1.1253, d4.loss_iou: 1.4847, loss: 36.9828, grad_norm: 38.7772 +2022-10-26 19:38:27,054 - mmdet - INFO - Epoch [1][850/1849] lr: 2.000e-04, eta: 4:03:40, time: 0.137, data_time: 0.004, memory: 3865, loss_cls: 3.3774, loss_bbox: 1.1089, loss_iou: 1.4728, d0.loss_cls: 3.6418, d0.loss_bbox: 1.1907, d0.loss_iou: 1.5440, d1.loss_cls: 3.4991, d1.loss_bbox: 1.1212, d1.loss_iou: 1.4796, d2.loss_cls: 3.4294, d2.loss_bbox: 1.1052, d2.loss_iou: 1.4649, d3.loss_cls: 3.3913, d3.loss_bbox: 1.1033, d3.loss_iou: 1.4631, d4.loss_cls: 3.3789, d4.loss_bbox: 1.1020, d4.loss_iou: 1.4658, loss: 36.3392, grad_norm: 37.7813 +2022-10-26 19:38:34,137 - mmdet - INFO - Epoch [1][900/1849] lr: 2.000e-04, eta: 4:02:01, time: 0.142, data_time: 0.004, memory: 3865, loss_cls: 3.3080, loss_bbox: 1.0901, loss_iou: 1.4511, d0.loss_cls: 3.5826, d0.loss_bbox: 1.1689, d0.loss_iou: 1.5168, d1.loss_cls: 3.4145, d1.loss_bbox: 1.0972, d1.loss_iou: 1.4571, d2.loss_cls: 3.3498, d2.loss_bbox: 1.0807, d2.loss_iou: 1.4394, d3.loss_cls: 3.3117, d3.loss_bbox: 1.0769, d3.loss_iou: 1.4349, d4.loss_cls: 3.3066, d4.loss_bbox: 1.0790, d4.loss_iou: 1.4396, loss: 35.6049, grad_norm: 34.8170 +2022-10-26 19:38:41,097 - mmdet - INFO - Epoch [1][950/1849] lr: 2.000e-04, eta: 4:00:19, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 3.2453, loss_bbox: 1.0722, loss_iou: 1.4430, d0.loss_cls: 3.5250, d0.loss_bbox: 1.1555, d0.loss_iou: 1.5089, d1.loss_cls: 3.3467, d1.loss_bbox: 1.0843, d1.loss_iou: 1.4508, d2.loss_cls: 3.2835, d2.loss_bbox: 1.0673, d2.loss_iou: 1.4346, d3.loss_cls: 3.2482, d3.loss_bbox: 1.0657, d3.loss_iou: 1.4367, d4.loss_cls: 3.2433, d4.loss_bbox: 1.0661, d4.loss_iou: 1.4365, loss: 35.1138, grad_norm: 35.3386 +2022-10-26 19:38:48,277 - mmdet - INFO - Exp name: detr_pseudo_label.py +2022-10-26 19:38:48,278 - mmdet - INFO - Epoch [1][1000/1849] lr: 2.000e-04, eta: 3:59:08, time: 0.144, data_time: 0.004, memory: 4227, loss_cls: 3.1607, loss_bbox: 1.0597, loss_iou: 1.4324, d0.loss_cls: 3.4404, d0.loss_bbox: 1.1395, d0.loss_iou: 1.5002, d1.loss_cls: 3.2613, d1.loss_bbox: 1.0702, d1.loss_iou: 1.4380, d2.loss_cls: 3.1976, d2.loss_bbox: 1.0568, d2.loss_iou: 1.4281, d3.loss_cls: 3.1659, d3.loss_bbox: 1.0546, d3.loss_iou: 1.4243, d4.loss_cls: 3.1607, d4.loss_bbox: 1.0564, d4.loss_iou: 1.4276, loss: 34.4745, grad_norm: 38.1129 +2022-10-26 19:38:55,075 - mmdet - INFO - Epoch [1][1050/1849] lr: 2.000e-04, eta: 3:57:29, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 3.0917, loss_bbox: 1.0553, loss_iou: 1.4272, d0.loss_cls: 3.3541, d0.loss_bbox: 1.1224, d0.loss_iou: 1.4793, d1.loss_cls: 3.1853, d1.loss_bbox: 1.0668, d1.loss_iou: 1.4311, d2.loss_cls: 3.1268, d2.loss_bbox: 1.0535, d2.loss_iou: 1.4208, d3.loss_cls: 3.0953, d3.loss_bbox: 1.0512, d3.loss_iou: 1.4198, d4.loss_cls: 3.0893, d4.loss_bbox: 1.0513, d4.loss_iou: 1.4225, loss: 33.9439, grad_norm: 30.8640 +2022-10-26 19:39:04,621 - mmdet - INFO - Epoch [1][1100/1849] lr: 2.000e-04, eta: 3:59:46, time: 0.191, data_time: 0.004, memory: 4227, loss_cls: 3.0598, loss_bbox: 1.0529, loss_iou: 1.4252, d0.loss_cls: 3.3037, d0.loss_bbox: 1.1104, d0.loss_iou: 1.4706, d1.loss_cls: 3.1492, d1.loss_bbox: 1.0579, d1.loss_iou: 1.4291, d2.loss_cls: 3.0901, d2.loss_bbox: 1.0479, d2.loss_iou: 1.4187, d3.loss_cls: 3.0651, d3.loss_bbox: 1.0436, d3.loss_iou: 1.4156, d4.loss_cls: 3.0606, d4.loss_bbox: 1.0447, d4.loss_iou: 1.4168, loss: 33.6620, grad_norm: 31.3837 +2022-10-26 19:39:11,643 - mmdet - INFO - Epoch [1][1150/1849] lr: 2.000e-04, eta: 3:58:30, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 3.0138, loss_bbox: 1.0378, loss_iou: 1.4139, d0.loss_cls: 3.2438, d0.loss_bbox: 1.0898, d0.loss_iou: 1.4580, d1.loss_cls: 3.0940, d1.loss_bbox: 1.0479, d1.loss_iou: 1.4189, d2.loss_cls: 3.0390, d2.loss_bbox: 1.0349, d2.loss_iou: 1.4098, d3.loss_cls: 3.0164, d3.loss_bbox: 1.0322, d3.loss_iou: 1.4069, d4.loss_cls: 3.0111, d4.loss_bbox: 1.0311, d4.loss_iou: 1.4067, loss: 33.2060, grad_norm: 31.1669 +2022-10-26 19:39:18,549 - mmdet - INFO - Epoch [1][1200/1849] lr: 2.000e-04, eta: 3:57:12, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.9374, loss_bbox: 1.0391, loss_iou: 1.4110, d0.loss_cls: 3.1680, d0.loss_bbox: 1.0899, d0.loss_iou: 1.4528, d1.loss_cls: 3.0185, d1.loss_bbox: 1.0467, d1.loss_iou: 1.4147, d2.loss_cls: 2.9645, d2.loss_bbox: 1.0384, d2.loss_iou: 1.4066, d3.loss_cls: 2.9441, d3.loss_bbox: 1.0316, d3.loss_iou: 1.4024, d4.loss_cls: 2.9399, d4.loss_bbox: 1.0329, d4.loss_iou: 1.4054, loss: 32.7438, grad_norm: 34.6404 +2022-10-26 19:39:25,565 - mmdet - INFO - Epoch [1][1250/1849] lr: 2.000e-04, eta: 3:56:07, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.9025, loss_bbox: 1.0288, loss_iou: 1.4006, d0.loss_cls: 3.1210, d0.loss_bbox: 1.0768, d0.loss_iou: 1.4413, d1.loss_cls: 2.9779, d1.loss_bbox: 1.0359, d1.loss_iou: 1.4068, d2.loss_cls: 2.9270, d2.loss_bbox: 1.0272, d2.loss_iou: 1.3990, d3.loss_cls: 2.9076, d3.loss_bbox: 1.0242, d3.loss_iou: 1.3972, d4.loss_cls: 2.9010, d4.loss_bbox: 1.0226, d4.loss_iou: 1.3951, loss: 32.3925, grad_norm: 33.0820 +2022-10-26 19:39:32,502 - mmdet - INFO - Epoch [1][1300/1849] lr: 2.000e-04, eta: 3:55:01, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.8735, loss_bbox: 1.0332, loss_iou: 1.4041, d0.loss_cls: 3.0809, d0.loss_bbox: 1.0770, d0.loss_iou: 1.4364, d1.loss_cls: 2.9476, d1.loss_bbox: 1.0406, d1.loss_iou: 1.4068, d2.loss_cls: 2.9022, d2.loss_bbox: 1.0316, d2.loss_iou: 1.4009, d3.loss_cls: 2.8773, d3.loss_bbox: 1.0280, d3.loss_iou: 1.3985, d4.loss_cls: 2.8742, d4.loss_bbox: 1.0298, d4.loss_iou: 1.3999, loss: 32.2426, grad_norm: 30.0176 +2022-10-26 19:39:39,453 - mmdet - INFO - Epoch [1][1350/1849] lr: 2.000e-04, eta: 3:54:00, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.8180, loss_bbox: 1.0192, loss_iou: 1.3941, d0.loss_cls: 3.0223, d0.loss_bbox: 1.0651, d0.loss_iou: 1.4289, d1.loss_cls: 2.8907, d1.loss_bbox: 1.0289, d1.loss_iou: 1.4002, d2.loss_cls: 2.8477, d2.loss_bbox: 1.0228, d2.loss_iou: 1.3943, d3.loss_cls: 2.8258, d3.loss_bbox: 1.0174, d3.loss_iou: 1.3913, d4.loss_cls: 2.8172, d4.loss_bbox: 1.0164, d4.loss_iou: 1.3897, loss: 31.7902, grad_norm: 31.1492 +2022-10-26 19:39:46,443 - mmdet - INFO - Epoch [1][1400/1849] lr: 2.000e-04, eta: 3:53:06, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.8048, loss_bbox: 1.0108, loss_iou: 1.3903, d0.loss_cls: 3.0043, d0.loss_bbox: 1.0629, d0.loss_iou: 1.4243, d1.loss_cls: 2.8700, d1.loss_bbox: 1.0203, d1.loss_iou: 1.3946, d2.loss_cls: 2.8266, d2.loss_bbox: 1.0129, d2.loss_iou: 1.3878, d3.loss_cls: 2.8096, d3.loss_bbox: 1.0100, d3.loss_iou: 1.3870, d4.loss_cls: 2.8029, d4.loss_bbox: 1.0060, d4.loss_iou: 1.3846, loss: 31.6096, grad_norm: 38.2306 +2022-10-26 19:39:53,403 - mmdet - INFO - Epoch [1][1450/1849] lr: 2.000e-04, eta: 3:52:13, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.7875, loss_bbox: 1.0130, loss_iou: 1.3869, d0.loss_cls: 2.9774, d0.loss_bbox: 1.0588, d0.loss_iou: 1.4188, d1.loss_cls: 2.8542, d1.loss_bbox: 1.0240, d1.loss_iou: 1.3950, d2.loss_cls: 2.8116, d2.loss_bbox: 1.0136, d2.loss_iou: 1.3884, d3.loss_cls: 2.7933, d3.loss_bbox: 1.0089, d3.loss_iou: 1.3857, d4.loss_cls: 2.7867, d4.loss_bbox: 1.0089, d4.loss_iou: 1.3833, loss: 31.4959, grad_norm: 36.9481 +2022-10-26 19:40:00,099 - mmdet - INFO - Epoch [1][1500/1849] lr: 2.000e-04, eta: 3:51:07, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.7855, loss_bbox: 1.0070, loss_iou: 1.3870, d0.loss_cls: 2.9699, d0.loss_bbox: 1.0483, d0.loss_iou: 1.4160, d1.loss_cls: 2.8451, d1.loss_bbox: 1.0168, d1.loss_iou: 1.3944, d2.loss_cls: 2.8100, d2.loss_bbox: 1.0109, d2.loss_iou: 1.3891, d3.loss_cls: 2.7884, d3.loss_bbox: 1.0067, d3.loss_iou: 1.3857, d4.loss_cls: 2.7852, d4.loss_bbox: 1.0050, d4.loss_iou: 1.3840, loss: 31.4352, grad_norm: 33.0343 +2022-10-26 19:40:06,727 - mmdet - INFO - Epoch [1][1550/1849] lr: 2.000e-04, eta: 3:50:01, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.7442, loss_bbox: 1.0072, loss_iou: 1.3790, d0.loss_cls: 2.9249, d0.loss_bbox: 1.0464, d0.loss_iou: 1.4040, d1.loss_cls: 2.8052, d1.loss_bbox: 1.0164, d1.loss_iou: 1.3837, d2.loss_cls: 2.7702, d2.loss_bbox: 1.0095, d2.loss_iou: 1.3797, d3.loss_cls: 2.7492, d3.loss_bbox: 1.0034, d3.loss_iou: 1.3745, d4.loss_cls: 2.7459, d4.loss_bbox: 1.0042, d4.loss_iou: 1.3751, loss: 31.1227, grad_norm: 31.8963 +2022-10-26 19:40:13,426 - mmdet - INFO - Epoch [1][1600/1849] lr: 2.000e-04, eta: 3:49:03, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.7317, loss_bbox: 0.9976, loss_iou: 1.3730, d0.loss_cls: 2.9079, d0.loss_bbox: 1.0421, d0.loss_iou: 1.4037, d1.loss_cls: 2.7868, d1.loss_bbox: 1.0085, d1.loss_iou: 1.3816, d2.loss_cls: 2.7511, d2.loss_bbox: 1.0014, d2.loss_iou: 1.3769, d3.loss_cls: 2.7387, d3.loss_bbox: 0.9964, d3.loss_iou: 1.3713, d4.loss_cls: 2.7295, d4.loss_bbox: 0.9939, d4.loss_iou: 1.3705, loss: 30.9626, grad_norm: 33.9390 +2022-10-26 19:40:20,176 - mmdet - INFO - Epoch [1][1650/1849] lr: 2.000e-04, eta: 3:48:11, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.7398, loss_bbox: 1.0075, loss_iou: 1.3859, d0.loss_cls: 2.9101, d0.loss_bbox: 1.0529, d0.loss_iou: 1.4186, d1.loss_cls: 2.7930, d1.loss_bbox: 1.0180, d1.loss_iou: 1.3912, d2.loss_cls: 2.7617, d2.loss_bbox: 1.0104, d2.loss_iou: 1.3867, d3.loss_cls: 2.7418, d3.loss_bbox: 1.0047, d3.loss_iou: 1.3837, d4.loss_cls: 2.7380, d4.loss_bbox: 1.0040, d4.loss_iou: 1.3826, loss: 31.1309, grad_norm: 40.4836 +2022-10-26 19:40:26,825 - mmdet - INFO - Epoch [1][1700/1849] lr: 2.000e-04, eta: 3:47:16, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.7086, loss_bbox: 0.9997, loss_iou: 1.3745, d0.loss_cls: 2.8681, d0.loss_bbox: 1.0387, d0.loss_iou: 1.3987, d1.loss_cls: 2.7610, d1.loss_bbox: 1.0099, d1.loss_iou: 1.3801, d2.loss_cls: 2.7242, d2.loss_bbox: 1.0012, d2.loss_iou: 1.3765, d3.loss_cls: 2.7109, d3.loss_bbox: 0.9974, d3.loss_iou: 1.3730, d4.loss_cls: 2.7064, d4.loss_bbox: 0.9951, d4.loss_iou: 1.3707, loss: 30.7945, grad_norm: 32.7862 +2022-10-26 19:40:33,748 - mmdet - INFO - Epoch [1][1750/1849] lr: 2.000e-04, eta: 3:46:37, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.6910, loss_bbox: 0.9992, loss_iou: 1.3809, d0.loss_cls: 2.8718, d0.loss_bbox: 1.0455, d0.loss_iou: 1.4144, d1.loss_cls: 2.7485, d1.loss_bbox: 1.0116, d1.loss_iou: 1.3892, d2.loss_cls: 2.7140, d2.loss_bbox: 1.0042, d2.loss_iou: 1.3862, d3.loss_cls: 2.7007, d3.loss_bbox: 1.0007, d3.loss_iou: 1.3820, d4.loss_cls: 2.6926, d4.loss_bbox: 0.9980, d4.loss_iou: 1.3793, loss: 30.8098, grad_norm: 37.5343 +2022-10-26 19:40:40,455 - mmdet - INFO - Epoch [1][1800/1849] lr: 2.000e-04, eta: 3:45:50, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.6913, loss_bbox: 1.0004, loss_iou: 1.3761, d0.loss_cls: 2.8586, d0.loss_bbox: 1.0397, d0.loss_iou: 1.4039, d1.loss_cls: 2.7528, d1.loss_bbox: 1.0127, d1.loss_iou: 1.3842, d2.loss_cls: 2.7162, d2.loss_bbox: 1.0034, d2.loss_iou: 1.3793, d3.loss_cls: 2.7007, d3.loss_bbox: 1.0004, d3.loss_iou: 1.3771, d4.loss_cls: 2.6946, d4.loss_bbox: 0.9996, d4.loss_iou: 1.3752, loss: 30.7663, grad_norm: 33.4094 +2022-10-26 19:40:47,335 - mmdet - INFO - Saving checkpoint at 1 epochs +2022-10-26 19:40:58,025 - mmdet - INFO - Epoch [2][50/1849] lr: 2.000e-04, eta: 3:41:50, time: 0.201, data_time: 0.063, memory: 4227, loss_cls: 2.6369, loss_bbox: 0.9831, loss_iou: 1.3603, d0.loss_cls: 2.7857, d0.loss_bbox: 1.0168, d0.loss_iou: 1.3830, d1.loss_cls: 2.6900, d1.loss_bbox: 0.9940, d1.loss_iou: 1.3681, d2.loss_cls: 2.6615, d2.loss_bbox: 0.9856, d2.loss_iou: 1.3637, d3.loss_cls: 2.6448, d3.loss_bbox: 0.9819, d3.loss_iou: 1.3583, d4.loss_cls: 2.6351, d4.loss_bbox: 0.9803, d4.loss_iou: 1.3574, loss: 30.1866, grad_norm: 25.9760 +2022-10-26 19:41:05,074 - mmdet - INFO - Epoch [2][100/1849] lr: 2.000e-04, eta: 3:41:29, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.6489, loss_bbox: 0.9858, loss_iou: 1.3698, d0.loss_cls: 2.8045, d0.loss_bbox: 1.0227, d0.loss_iou: 1.3949, d1.loss_cls: 2.7055, d1.loss_bbox: 0.9951, d1.loss_iou: 1.3769, d2.loss_cls: 2.6688, d2.loss_bbox: 0.9894, d2.loss_iou: 1.3739, d3.loss_cls: 2.6570, d3.loss_bbox: 0.9862, d3.loss_iou: 1.3698, d4.loss_cls: 2.6508, d4.loss_bbox: 0.9842, d4.loss_iou: 1.3681, loss: 30.3523, grad_norm: 30.1806 +2022-10-26 19:41:12,209 - mmdet - INFO - Epoch [2][150/1849] lr: 2.000e-04, eta: 3:41:12, time: 0.143, data_time: 0.005, memory: 4227, loss_cls: 2.6155, loss_bbox: 0.9782, loss_iou: 1.3547, d0.loss_cls: 2.7756, d0.loss_bbox: 1.0148, d0.loss_iou: 1.3824, d1.loss_cls: 2.6751, d1.loss_bbox: 0.9932, d1.loss_iou: 1.3684, d2.loss_cls: 2.6445, d2.loss_bbox: 0.9863, d2.loss_iou: 1.3620, d3.loss_cls: 2.6287, d3.loss_bbox: 0.9807, d3.loss_iou: 1.3554, d4.loss_cls: 2.6195, d4.loss_bbox: 0.9783, d4.loss_iou: 1.3545, loss: 30.0679, grad_norm: 31.2284 +2022-10-26 19:41:19,285 - mmdet - INFO - Epoch [2][200/1849] lr: 2.000e-04, eta: 3:40:53, time: 0.142, data_time: 0.005, memory: 4227, loss_cls: 2.6260, loss_bbox: 0.9811, loss_iou: 1.3567, d0.loss_cls: 2.7793, d0.loss_bbox: 1.0192, d0.loss_iou: 1.3856, d1.loss_cls: 2.6867, d1.loss_bbox: 0.9959, d1.loss_iou: 1.3696, d2.loss_cls: 2.6523, d2.loss_bbox: 0.9863, d2.loss_iou: 1.3619, d3.loss_cls: 2.6350, d3.loss_bbox: 0.9829, d3.loss_iou: 1.3591, d4.loss_cls: 2.6293, d4.loss_bbox: 0.9810, d4.loss_iou: 1.3573, loss: 30.1452, grad_norm: 32.4282 +2022-10-26 19:41:26,103 - mmdet - INFO - Epoch [2][250/1849] lr: 2.000e-04, eta: 3:40:24, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.5837, loss_bbox: 0.9618, loss_iou: 1.3474, d0.loss_cls: 2.7272, d0.loss_bbox: 0.9970, d0.loss_iou: 1.3754, d1.loss_cls: 2.6448, d1.loss_bbox: 0.9757, d1.loss_iou: 1.3597, d2.loss_cls: 2.6081, d2.loss_bbox: 0.9667, d2.loss_iou: 1.3528, d3.loss_cls: 2.5949, d3.loss_bbox: 0.9620, d3.loss_iou: 1.3488, d4.loss_cls: 2.5857, d4.loss_bbox: 0.9600, d4.loss_iou: 1.3474, loss: 29.6991, grad_norm: 30.4384 +2022-10-26 19:41:33,104 - mmdet - INFO - Epoch [2][300/1849] lr: 2.000e-04, eta: 3:40:03, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.6010, loss_bbox: 0.9765, loss_iou: 1.3595, d0.loss_cls: 2.7435, d0.loss_bbox: 1.0146, d0.loss_iou: 1.3884, d1.loss_cls: 2.6547, d1.loss_bbox: 0.9889, d1.loss_iou: 1.3715, d2.loss_cls: 2.6231, d2.loss_bbox: 0.9809, d2.loss_iou: 1.3628, d3.loss_cls: 2.6089, d3.loss_bbox: 0.9761, d3.loss_iou: 1.3589, d4.loss_cls: 2.6030, d4.loss_bbox: 0.9737, d4.loss_iou: 1.3566, loss: 29.9426, grad_norm: 30.0359 +2022-10-26 19:41:39,994 - mmdet - INFO - Epoch [2][350/1849] lr: 2.000e-04, eta: 3:39:39, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.5870, loss_bbox: 0.9716, loss_iou: 1.3475, d0.loss_cls: 2.7324, d0.loss_bbox: 1.0035, d0.loss_iou: 1.3720, d1.loss_cls: 2.6430, d1.loss_bbox: 0.9844, d1.loss_iou: 1.3593, d2.loss_cls: 2.6108, d2.loss_bbox: 0.9771, d2.loss_iou: 1.3544, d3.loss_cls: 2.5956, d3.loss_bbox: 0.9722, d3.loss_iou: 1.3497, d4.loss_cls: 2.5906, d4.loss_bbox: 0.9721, d4.loss_iou: 1.3483, loss: 29.7717, grad_norm: 25.8411 +2022-10-26 19:41:46,857 - mmdet - INFO - Epoch [2][400/1849] lr: 2.000e-04, eta: 3:39:14, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.6012, loss_bbox: 0.9726, loss_iou: 1.3505, d0.loss_cls: 2.7369, d0.loss_bbox: 1.0054, d0.loss_iou: 1.3775, d1.loss_cls: 2.6510, d1.loss_bbox: 0.9844, d1.loss_iou: 1.3625, d2.loss_cls: 2.6190, d2.loss_bbox: 0.9764, d2.loss_iou: 1.3562, d3.loss_cls: 2.6119, d3.loss_bbox: 0.9735, d3.loss_iou: 1.3528, d4.loss_cls: 2.6035, d4.loss_bbox: 0.9701, d4.loss_iou: 1.3490, loss: 29.8544, grad_norm: 28.3971 +2022-10-26 19:41:53,775 - mmdet - INFO - Epoch [2][450/1849] lr: 2.000e-04, eta: 3:38:52, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.5759, loss_bbox: 0.9662, loss_iou: 1.3504, d0.loss_cls: 2.7097, d0.loss_bbox: 0.9948, d0.loss_iou: 1.3725, d1.loss_cls: 2.6284, d1.loss_bbox: 0.9773, d1.loss_iou: 1.3621, d2.loss_cls: 2.5985, d2.loss_bbox: 0.9688, d2.loss_iou: 1.3544, d3.loss_cls: 2.5833, d3.loss_bbox: 0.9640, d3.loss_iou: 1.3498, d4.loss_cls: 2.5795, d4.loss_bbox: 0.9636, d4.loss_iou: 1.3499, loss: 29.6490, grad_norm: 24.9234 +2022-10-26 19:42:00,642 - mmdet - INFO - Epoch [2][500/1849] lr: 2.000e-04, eta: 3:38:28, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.5579, loss_bbox: 0.9583, loss_iou: 1.3442, d0.loss_cls: 2.6935, d0.loss_bbox: 0.9880, d0.loss_iou: 1.3671, d1.loss_cls: 2.6152, d1.loss_bbox: 0.9714, d1.loss_iou: 1.3577, d2.loss_cls: 2.5861, d2.loss_bbox: 0.9636, d2.loss_iou: 1.3504, d3.loss_cls: 2.5703, d3.loss_bbox: 0.9605, d3.loss_iou: 1.3458, d4.loss_cls: 2.5654, d4.loss_bbox: 0.9575, d4.loss_iou: 1.3428, loss: 29.4956, grad_norm: 26.5272 +2022-10-26 19:42:07,607 - mmdet - INFO - Epoch [2][550/1849] lr: 2.000e-04, eta: 3:38:10, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.5345, loss_bbox: 0.9525, loss_iou: 1.3358, d0.loss_cls: 2.6600, d0.loss_bbox: 0.9817, d0.loss_iou: 1.3565, d1.loss_cls: 2.5842, d1.loss_bbox: 0.9654, d1.loss_iou: 1.3459, d2.loss_cls: 2.5524, d2.loss_bbox: 0.9577, d2.loss_iou: 1.3415, d3.loss_cls: 2.5432, d3.loss_bbox: 0.9558, d3.loss_iou: 1.3359, d4.loss_cls: 2.5414, d4.loss_bbox: 0.9530, d4.loss_iou: 1.3357, loss: 29.2332, grad_norm: 23.8598 +2022-10-26 19:42:14,529 - mmdet - INFO - Epoch [2][600/1849] lr: 2.000e-04, eta: 3:37:50, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.5397, loss_bbox: 0.9527, loss_iou: 1.3390, d0.loss_cls: 2.6600, d0.loss_bbox: 0.9797, d0.loss_iou: 1.3609, d1.loss_cls: 2.5839, d1.loss_bbox: 0.9631, d1.loss_iou: 1.3513, d2.loss_cls: 2.5539, d2.loss_bbox: 0.9564, d2.loss_iou: 1.3432, d3.loss_cls: 2.5436, d3.loss_bbox: 0.9520, d3.loss_iou: 1.3402, d4.loss_cls: 2.5405, d4.loss_bbox: 0.9517, d4.loss_iou: 1.3384, loss: 29.2503, grad_norm: 21.6279 +2022-10-26 19:42:21,368 - mmdet - INFO - Epoch [2][650/1849] lr: 2.000e-04, eta: 3:37:27, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.5500, loss_bbox: 0.9579, loss_iou: 1.3370, d0.loss_cls: 2.6700, d0.loss_bbox: 0.9840, d0.loss_iou: 1.3588, d1.loss_cls: 2.5937, d1.loss_bbox: 0.9705, d1.loss_iou: 1.3485, d2.loss_cls: 2.5654, d2.loss_bbox: 0.9600, d2.loss_iou: 1.3437, d3.loss_cls: 2.5561, d3.loss_bbox: 0.9573, d3.loss_iou: 1.3377, d4.loss_cls: 2.5516, d4.loss_bbox: 0.9564, d4.loss_iou: 1.3370, loss: 29.3356, grad_norm: 26.2265 +2022-10-26 19:42:28,250 - mmdet - INFO - Epoch [2][700/1849] lr: 2.000e-04, eta: 3:37:07, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.5187, loss_bbox: 0.9522, loss_iou: 1.3352, d0.loss_cls: 2.6504, d0.loss_bbox: 0.9813, d0.loss_iou: 1.3609, d1.loss_cls: 2.5678, d1.loss_bbox: 0.9626, d1.loss_iou: 1.3479, d2.loss_cls: 2.5380, d2.loss_bbox: 0.9542, d2.loss_iou: 1.3399, d3.loss_cls: 2.5274, d3.loss_bbox: 0.9519, d3.loss_iou: 1.3361, d4.loss_cls: 2.5201, d4.loss_bbox: 0.9511, d4.loss_iou: 1.3347, loss: 29.1306, grad_norm: 20.3095 +2022-10-26 19:42:35,251 - mmdet - INFO - Epoch [2][750/1849] lr: 2.000e-04, eta: 3:36:51, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.5110, loss_bbox: 0.9487, loss_iou: 1.3338, d0.loss_cls: 2.6442, d0.loss_bbox: 0.9803, d0.loss_iou: 1.3586, d1.loss_cls: 2.5670, d1.loss_bbox: 0.9636, d1.loss_iou: 1.3475, d2.loss_cls: 2.5330, d2.loss_bbox: 0.9528, d2.loss_iou: 1.3382, d3.loss_cls: 2.5219, d3.loss_bbox: 0.9483, d3.loss_iou: 1.3338, d4.loss_cls: 2.5137, d4.loss_bbox: 0.9472, d4.loss_iou: 1.3334, loss: 29.0771, grad_norm: 26.4407 +2022-10-26 19:42:42,070 - mmdet - INFO - Epoch [2][800/1849] lr: 2.000e-04, eta: 3:36:30, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.5137, loss_bbox: 0.9458, loss_iou: 1.3302, d0.loss_cls: 2.6360, d0.loss_bbox: 0.9732, d0.loss_iou: 1.3528, d1.loss_cls: 2.5661, d1.loss_bbox: 0.9572, d1.loss_iou: 1.3427, d2.loss_cls: 2.5361, d2.loss_bbox: 0.9499, d2.loss_iou: 1.3375, d3.loss_cls: 2.5248, d3.loss_bbox: 0.9471, d3.loss_iou: 1.3330, d4.loss_cls: 2.5134, d4.loss_bbox: 0.9449, d4.loss_iou: 1.3305, loss: 29.0348, grad_norm: 19.7328 +2022-10-26 19:42:49,001 - mmdet - INFO - Epoch [2][850/1849] lr: 2.000e-04, eta: 3:36:12, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.4945, loss_bbox: 0.9429, loss_iou: 1.3257, d0.loss_cls: 2.6318, d0.loss_bbox: 0.9768, d0.loss_iou: 1.3533, d1.loss_cls: 2.5485, d1.loss_bbox: 0.9593, d1.loss_iou: 1.3388, d2.loss_cls: 2.5145, d2.loss_bbox: 0.9498, d2.loss_iou: 1.3293, d3.loss_cls: 2.5019, d3.loss_bbox: 0.9451, d3.loss_iou: 1.3267, d4.loss_cls: 2.4952, d4.loss_bbox: 0.9422, d4.loss_iou: 1.3247, loss: 28.9011, grad_norm: 24.5984 +2022-10-26 19:42:55,564 - mmdet - INFO - Epoch [2][900/1849] lr: 2.000e-04, eta: 3:35:43, time: 0.131, data_time: 0.005, memory: 4227, loss_cls: 2.5007, loss_bbox: 0.9389, loss_iou: 1.3215, d0.loss_cls: 2.6291, d0.loss_bbox: 0.9689, d0.loss_iou: 1.3446, d1.loss_cls: 2.5574, d1.loss_bbox: 0.9542, d1.loss_iou: 1.3358, d2.loss_cls: 2.5245, d2.loss_bbox: 0.9467, d2.loss_iou: 1.3291, d3.loss_cls: 2.5142, d3.loss_bbox: 0.9430, d3.loss_iou: 1.3256, d4.loss_cls: 2.5084, d4.loss_bbox: 0.9407, d4.loss_iou: 1.3232, loss: 28.9063, grad_norm: 20.9984 +2022-10-26 19:43:02,457 - mmdet - INFO - Epoch [2][950/1849] lr: 2.000e-04, eta: 3:35:26, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.4671, loss_bbox: 0.9308, loss_iou: 1.3157, d0.loss_cls: 2.5829, d0.loss_bbox: 0.9611, d0.loss_iou: 1.3393, d1.loss_cls: 2.5206, d1.loss_bbox: 0.9465, d1.loss_iou: 1.3291, d2.loss_cls: 2.4869, d2.loss_bbox: 0.9364, d2.loss_iou: 1.3213, d3.loss_cls: 2.4734, d3.loss_bbox: 0.9319, d3.loss_iou: 1.3169, d4.loss_cls: 2.4649, d4.loss_bbox: 0.9313, d4.loss_iou: 1.3164, loss: 28.5723, grad_norm: 18.7122 +2022-10-26 19:43:09,391 - mmdet - INFO - Epoch [2][1000/1849] lr: 2.000e-04, eta: 3:35:10, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.4659, loss_bbox: 0.9371, loss_iou: 1.3189, d0.loss_cls: 2.5883, d0.loss_bbox: 0.9650, d0.loss_iou: 1.3415, d1.loss_cls: 2.5225, d1.loss_bbox: 0.9505, d1.loss_iou: 1.3333, d2.loss_cls: 2.4929, d2.loss_bbox: 0.9425, d2.loss_iou: 1.3232, d3.loss_cls: 2.4785, d3.loss_bbox: 0.9381, d3.loss_iou: 1.3193, d4.loss_cls: 2.4705, d4.loss_bbox: 0.9362, d4.loss_iou: 1.3192, loss: 28.6434, grad_norm: 20.5664 +2022-10-26 19:43:16,321 - mmdet - INFO - Epoch [2][1050/1849] lr: 2.000e-04, eta: 3:34:54, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.4654, loss_bbox: 0.9281, loss_iou: 1.3167, d0.loss_cls: 2.5909, d0.loss_bbox: 0.9600, d0.loss_iou: 1.3472, d1.loss_cls: 2.5185, d1.loss_bbox: 0.9439, d1.loss_iou: 1.3322, d2.loss_cls: 2.4862, d2.loss_bbox: 0.9350, d2.loss_iou: 1.3241, d3.loss_cls: 2.4738, d3.loss_bbox: 0.9288, d3.loss_iou: 1.3196, d4.loss_cls: 2.4666, d4.loss_bbox: 0.9276, d4.loss_iou: 1.3168, loss: 28.5814, grad_norm: 25.1238 +2022-10-26 19:43:23,092 - mmdet - INFO - Epoch [2][1100/1849] lr: 2.000e-04, eta: 3:34:34, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.4630, loss_bbox: 0.9307, loss_iou: 1.3087, d0.loss_cls: 2.5824, d0.loss_bbox: 0.9608, d0.loss_iou: 1.3321, d1.loss_cls: 2.5235, d1.loss_bbox: 0.9486, d1.loss_iou: 1.3233, d2.loss_cls: 2.4899, d2.loss_bbox: 0.9382, d2.loss_iou: 1.3154, d3.loss_cls: 2.4743, d3.loss_bbox: 0.9346, d3.loss_iou: 1.3106, d4.loss_cls: 2.4677, d4.loss_bbox: 0.9318, d4.loss_iou: 1.3092, loss: 28.5450, grad_norm: 19.2415 +2022-10-26 19:43:30,262 - mmdet - INFO - Epoch [2][1150/1849] lr: 2.000e-04, eta: 3:34:26, time: 0.143, data_time: 0.005, memory: 4227, loss_cls: 2.4415, loss_bbox: 0.9280, loss_iou: 1.3098, d0.loss_cls: 2.5502, d0.loss_bbox: 0.9559, d0.loss_iou: 1.3323, d1.loss_cls: 2.4925, d1.loss_bbox: 0.9441, d1.loss_iou: 1.3239, d2.loss_cls: 2.4610, d2.loss_bbox: 0.9326, d2.loss_iou: 1.3151, d3.loss_cls: 2.4487, d3.loss_bbox: 0.9287, d3.loss_iou: 1.3103, d4.loss_cls: 2.4432, d4.loss_bbox: 0.9281, d4.loss_iou: 1.3085, loss: 28.3543, grad_norm: 18.9369 +2022-10-26 19:43:37,071 - mmdet - INFO - Epoch [2][1200/1849] lr: 2.000e-04, eta: 3:34:08, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.4505, loss_bbox: 0.9335, loss_iou: 1.3146, d0.loss_cls: 2.5615, d0.loss_bbox: 0.9586, d0.loss_iou: 1.3375, d1.loss_cls: 2.5010, d1.loss_bbox: 0.9468, d1.loss_iou: 1.3278, d2.loss_cls: 2.4705, d2.loss_bbox: 0.9372, d2.loss_iou: 1.3196, d3.loss_cls: 2.4582, d3.loss_bbox: 0.9337, d3.loss_iou: 1.3168, d4.loss_cls: 2.4510, d4.loss_bbox: 0.9317, d4.loss_iou: 1.3151, loss: 28.4655, grad_norm: 22.1188 +2022-10-26 19:43:44,048 - mmdet - INFO - Epoch [2][1250/1849] lr: 2.000e-04, eta: 3:33:55, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.4169, loss_bbox: 0.9285, loss_iou: 1.3133, d0.loss_cls: 2.5424, d0.loss_bbox: 0.9567, d0.loss_iou: 1.3368, d1.loss_cls: 2.4783, d1.loss_bbox: 0.9434, d1.loss_iou: 1.3269, d2.loss_cls: 2.4379, d2.loss_bbox: 0.9335, d2.loss_iou: 1.3183, d3.loss_cls: 2.4283, d3.loss_bbox: 0.9286, d3.loss_iou: 1.3140, d4.loss_cls: 2.4218, d4.loss_bbox: 0.9270, d4.loss_iou: 1.3130, loss: 28.2657, grad_norm: 18.6141 +2022-10-26 19:43:50,993 - mmdet - INFO - Epoch [2][1300/1849] lr: 2.000e-04, eta: 3:33:41, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.4217, loss_bbox: 0.9230, loss_iou: 1.3077, d0.loss_cls: 2.5298, d0.loss_bbox: 0.9496, d0.loss_iou: 1.3311, d1.loss_cls: 2.4745, d1.loss_bbox: 0.9383, d1.loss_iou: 1.3222, d2.loss_cls: 2.4410, d2.loss_bbox: 0.9276, d2.loss_iou: 1.3137, d3.loss_cls: 2.4330, d3.loss_bbox: 0.9233, d3.loss_iou: 1.3086, d4.loss_cls: 2.4238, d4.loss_bbox: 0.9233, d4.loss_iou: 1.3065, loss: 28.1985, grad_norm: 18.8287 +2022-10-26 19:43:57,699 - mmdet - INFO - Epoch [2][1350/1849] lr: 2.000e-04, eta: 3:33:20, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.4176, loss_bbox: 0.9161, loss_iou: 1.3040, d0.loss_cls: 2.5336, d0.loss_bbox: 0.9424, d0.loss_iou: 1.3287, d1.loss_cls: 2.4765, d1.loss_bbox: 0.9319, d1.loss_iou: 1.3191, d2.loss_cls: 2.4422, d2.loss_bbox: 0.9219, d2.loss_iou: 1.3101, d3.loss_cls: 2.4321, d3.loss_bbox: 0.9175, d3.loss_iou: 1.3064, d4.loss_cls: 2.4217, d4.loss_bbox: 0.9152, d4.loss_iou: 1.3048, loss: 28.1419, grad_norm: 19.8754 +2022-10-26 19:44:04,493 - mmdet - INFO - Epoch [2][1400/1849] lr: 2.000e-04, eta: 3:33:03, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.4359, loss_bbox: 0.9200, loss_iou: 1.3051, d0.loss_cls: 2.5493, d0.loss_bbox: 0.9485, d0.loss_iou: 1.3301, d1.loss_cls: 2.4906, d1.loss_bbox: 0.9377, d1.loss_iou: 1.3217, d2.loss_cls: 2.4598, d2.loss_bbox: 0.9260, d2.loss_iou: 1.3119, d3.loss_cls: 2.4478, d3.loss_bbox: 0.9215, d3.loss_iou: 1.3075, d4.loss_cls: 2.4378, d4.loss_bbox: 0.9210, d4.loss_iou: 1.3062, loss: 28.2782, grad_norm: 18.6992 +2022-10-26 19:44:11,229 - mmdet - INFO - Epoch [2][1450/1849] lr: 2.000e-04, eta: 3:32:44, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.4124, loss_bbox: 0.9181, loss_iou: 1.3076, d0.loss_cls: 2.5213, d0.loss_bbox: 0.9448, d0.loss_iou: 1.3320, d1.loss_cls: 2.4631, d1.loss_bbox: 0.9361, d1.loss_iou: 1.3231, d2.loss_cls: 2.4357, d2.loss_bbox: 0.9257, d2.loss_iou: 1.3157, d3.loss_cls: 2.4244, d3.loss_bbox: 0.9212, d3.loss_iou: 1.3107, d4.loss_cls: 2.4149, d4.loss_bbox: 0.9194, d4.loss_iou: 1.3088, loss: 28.1351, grad_norm: 20.9774 +2022-10-26 19:44:17,997 - mmdet - INFO - Epoch [2][1500/1849] lr: 2.000e-04, eta: 3:32:26, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.4202, loss_bbox: 0.9177, loss_iou: 1.3040, d0.loss_cls: 2.5220, d0.loss_bbox: 0.9445, d0.loss_iou: 1.3270, d1.loss_cls: 2.4729, d1.loss_bbox: 0.9353, d1.loss_iou: 1.3170, d2.loss_cls: 2.4415, d2.loss_bbox: 0.9235, d2.loss_iou: 1.3107, d3.loss_cls: 2.4281, d3.loss_bbox: 0.9198, d3.loss_iou: 1.3066, d4.loss_cls: 2.4221, d4.loss_bbox: 0.9182, d4.loss_iou: 1.3048, loss: 28.1358, grad_norm: 19.6523 +2022-10-26 19:44:24,721 - mmdet - INFO - Epoch [2][1550/1849] lr: 2.000e-04, eta: 3:32:08, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.4001, loss_bbox: 0.9162, loss_iou: 1.3009, d0.loss_cls: 2.5037, d0.loss_bbox: 0.9421, d0.loss_iou: 1.3238, d1.loss_cls: 2.4531, d1.loss_bbox: 0.9338, d1.loss_iou: 1.3152, d2.loss_cls: 2.4219, d2.loss_bbox: 0.9231, d2.loss_iou: 1.3062, d3.loss_cls: 2.4113, d3.loss_bbox: 0.9195, d3.loss_iou: 1.3035, d4.loss_cls: 2.4014, d4.loss_bbox: 0.9171, d4.loss_iou: 1.3013, loss: 27.9940, grad_norm: 19.5321 +2022-10-26 19:44:31,517 - mmdet - INFO - Epoch [2][1600/1849] lr: 2.000e-04, eta: 3:31:52, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.3971, loss_bbox: 0.9114, loss_iou: 1.3000, d0.loss_cls: 2.5082, d0.loss_bbox: 0.9388, d0.loss_iou: 1.3256, d1.loss_cls: 2.4580, d1.loss_bbox: 0.9295, d1.loss_iou: 1.3155, d2.loss_cls: 2.4244, d2.loss_bbox: 0.9186, d2.loss_iou: 1.3067, d3.loss_cls: 2.4128, d3.loss_bbox: 0.9136, d3.loss_iou: 1.3013, d4.loss_cls: 2.4027, d4.loss_bbox: 0.9124, d4.loss_iou: 1.3007, loss: 27.9772, grad_norm: 17.4414 +2022-10-26 19:44:38,192 - mmdet - INFO - Epoch [2][1650/1849] lr: 2.000e-04, eta: 3:31:33, time: 0.133, data_time: 0.005, memory: 4227, loss_cls: 2.3979, loss_bbox: 0.9072, loss_iou: 1.2984, d0.loss_cls: 2.5042, d0.loss_bbox: 0.9344, d0.loss_iou: 1.3230, d1.loss_cls: 2.4573, d1.loss_bbox: 0.9252, d1.loss_iou: 1.3135, d2.loss_cls: 2.4217, d2.loss_bbox: 0.9140, d2.loss_iou: 1.3048, d3.loss_cls: 2.4113, d3.loss_bbox: 0.9092, d3.loss_iou: 1.3001, d4.loss_cls: 2.4030, d4.loss_bbox: 0.9071, d4.loss_iou: 1.2996, loss: 27.9319, grad_norm: 18.3292 +2022-10-26 19:44:44,993 - mmdet - INFO - Epoch [2][1700/1849] lr: 2.000e-04, eta: 3:31:17, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.3947, loss_bbox: 0.9114, loss_iou: 1.2988, d0.loss_cls: 2.5068, d0.loss_bbox: 0.9378, d0.loss_iou: 1.3234, d1.loss_cls: 2.4563, d1.loss_bbox: 0.9298, d1.loss_iou: 1.3143, d2.loss_cls: 2.4221, d2.loss_bbox: 0.9176, d2.loss_iou: 1.3047, d3.loss_cls: 2.4074, d3.loss_bbox: 0.9137, d3.loss_iou: 1.2999, d4.loss_cls: 2.3977, d4.loss_bbox: 0.9127, d4.loss_iou: 1.2987, loss: 27.9478, grad_norm: 19.5919 +2022-10-26 19:44:51,789 - mmdet - INFO - Epoch [2][1750/1849] lr: 2.000e-04, eta: 3:31:02, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.3493, loss_bbox: 0.9033, loss_iou: 1.2979, d0.loss_cls: 2.4551, d0.loss_bbox: 0.9311, d0.loss_iou: 1.3261, d1.loss_cls: 2.4051, d1.loss_bbox: 0.9201, d1.loss_iou: 1.3153, d2.loss_cls: 2.3728, d2.loss_bbox: 0.9113, d2.loss_iou: 1.3059, d3.loss_cls: 2.3607, d3.loss_bbox: 0.9056, d3.loss_iou: 1.3008, d4.loss_cls: 2.3526, d4.loss_bbox: 0.9040, d4.loss_iou: 1.2991, loss: 27.6162, grad_norm: 18.7467 +2022-10-26 19:44:58,777 - mmdet - INFO - Epoch [2][1800/1849] lr: 2.000e-04, eta: 3:30:51, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.3666, loss_bbox: 0.9045, loss_iou: 1.2851, d0.loss_cls: 2.4760, d0.loss_bbox: 0.9352, d0.loss_iou: 1.3120, d1.loss_cls: 2.4239, d1.loss_bbox: 0.9231, d1.loss_iou: 1.3009, d2.loss_cls: 2.3911, d2.loss_bbox: 0.9112, d2.loss_iou: 1.2927, d3.loss_cls: 2.3786, d3.loss_bbox: 0.9070, d3.loss_iou: 1.2882, d4.loss_cls: 2.3724, d4.loss_bbox: 0.9052, d4.loss_iou: 1.2859, loss: 27.6595, grad_norm: 15.5934 +2022-10-26 19:45:05,799 - mmdet - INFO - Saving checkpoint at 2 epochs +2022-10-26 19:45:16,706 - mmdet - INFO - Epoch [3][50/1849] lr: 2.000e-04, eta: 3:29:05, time: 0.204, data_time: 0.063, memory: 4227, loss_cls: 2.3648, loss_bbox: 0.9051, loss_iou: 1.2959, d0.loss_cls: 2.4637, d0.loss_bbox: 0.9327, d0.loss_iou: 1.3185, d1.loss_cls: 2.4161, d1.loss_bbox: 0.9235, d1.loss_iou: 1.3099, d2.loss_cls: 2.3850, d2.loss_bbox: 0.9128, d2.loss_iou: 1.3021, d3.loss_cls: 2.3746, d3.loss_bbox: 0.9082, d3.loss_iou: 1.2984, d4.loss_cls: 2.3685, d4.loss_bbox: 0.9055, d4.loss_iou: 1.2969, loss: 27.6822, grad_norm: 17.8445 +2022-10-26 19:45:23,529 - mmdet - INFO - Epoch [3][100/1849] lr: 2.000e-04, eta: 3:28:52, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.3542, loss_bbox: 0.9019, loss_iou: 1.2883, d0.loss_cls: 2.4559, d0.loss_bbox: 0.9310, d0.loss_iou: 1.3139, d1.loss_cls: 2.4090, d1.loss_bbox: 0.9200, d1.loss_iou: 1.3045, d2.loss_cls: 2.3762, d2.loss_bbox: 0.9086, d2.loss_iou: 1.2945, d3.loss_cls: 2.3663, d3.loss_bbox: 0.9039, d3.loss_iou: 1.2900, d4.loss_cls: 2.3563, d4.loss_bbox: 0.9014, d4.loss_iou: 1.2896, loss: 27.5654, grad_norm: 17.3321 +2022-10-26 19:45:30,325 - mmdet - INFO - Epoch [3][150/1849] lr: 2.000e-04, eta: 3:28:39, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.3443, loss_bbox: 0.9021, loss_iou: 1.2880, d0.loss_cls: 2.4425, d0.loss_bbox: 0.9326, d0.loss_iou: 1.3135, d1.loss_cls: 2.3958, d1.loss_bbox: 0.9198, d1.loss_iou: 1.3049, d2.loss_cls: 2.3640, d2.loss_bbox: 0.9103, d2.loss_iou: 1.2954, d3.loss_cls: 2.3553, d3.loss_bbox: 0.9042, d3.loss_iou: 1.2897, d4.loss_cls: 2.3464, d4.loss_bbox: 0.9027, d4.loss_iou: 1.2880, loss: 27.4995, grad_norm: 16.2799 +2022-10-26 19:45:37,276 - mmdet - INFO - Epoch [3][200/1849] lr: 2.000e-04, eta: 3:28:29, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.3322, loss_bbox: 0.8970, loss_iou: 1.2874, d0.loss_cls: 2.4399, d0.loss_bbox: 0.9287, d0.loss_iou: 1.3162, d1.loss_cls: 2.3922, d1.loss_bbox: 0.9177, d1.loss_iou: 1.3046, d2.loss_cls: 2.3565, d2.loss_bbox: 0.9060, d2.loss_iou: 1.2958, d3.loss_cls: 2.3441, d3.loss_bbox: 0.8991, d3.loss_iou: 1.2901, d4.loss_cls: 2.3356, d4.loss_bbox: 0.8989, d4.loss_iou: 1.2894, loss: 27.4315, grad_norm: 19.6985 +2022-10-26 19:45:44,034 - mmdet - INFO - Epoch [3][250/1849] lr: 2.000e-04, eta: 3:28:15, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.3178, loss_bbox: 0.8962, loss_iou: 1.2810, d0.loss_cls: 2.4201, d0.loss_bbox: 0.9255, d0.loss_iou: 1.3061, d1.loss_cls: 2.3776, d1.loss_bbox: 0.9163, d1.loss_iou: 1.2990, d2.loss_cls: 2.3442, d2.loss_bbox: 0.9046, d2.loss_iou: 1.2891, d3.loss_cls: 2.3313, d3.loss_bbox: 0.8997, d3.loss_iou: 1.2843, d4.loss_cls: 2.3226, d4.loss_bbox: 0.8971, d4.loss_iou: 1.2822, loss: 27.2946, grad_norm: 16.3653 +2022-10-26 19:45:51,146 - mmdet - INFO - Epoch [3][300/1849] lr: 2.000e-04, eta: 3:28:09, time: 0.142, data_time: 0.005, memory: 4227, loss_cls: 2.3322, loss_bbox: 0.8939, loss_iou: 1.2820, d0.loss_cls: 2.4400, d0.loss_bbox: 0.9233, d0.loss_iou: 1.3100, d1.loss_cls: 2.3894, d1.loss_bbox: 0.9114, d1.loss_iou: 1.3007, d2.loss_cls: 2.3605, d2.loss_bbox: 0.9002, d2.loss_iou: 1.2881, d3.loss_cls: 2.3472, d3.loss_bbox: 0.8967, d3.loss_iou: 1.2828, d4.loss_cls: 2.3381, d4.loss_bbox: 0.8943, d4.loss_iou: 1.2825, loss: 27.3733, grad_norm: 16.9776 +2022-10-26 19:45:58,225 - mmdet - INFO - Epoch [3][350/1849] lr: 2.000e-04, eta: 3:28:03, time: 0.142, data_time: 0.005, memory: 4227, loss_cls: 2.3514, loss_bbox: 0.9020, loss_iou: 1.2857, d0.loss_cls: 2.4522, d0.loss_bbox: 0.9313, d0.loss_iou: 1.3128, d1.loss_cls: 2.4018, d1.loss_bbox: 0.9206, d1.loss_iou: 1.3050, d2.loss_cls: 2.3687, d2.loss_bbox: 0.9097, d2.loss_iou: 1.2938, d3.loss_cls: 2.3560, d3.loss_bbox: 0.9041, d3.loss_iou: 1.2885, d4.loss_cls: 2.3522, d4.loss_bbox: 0.9024, d4.loss_iou: 1.2871, loss: 27.5255, grad_norm: 18.5806 +2022-10-26 19:46:05,068 - mmdet - INFO - Epoch [3][400/1849] lr: 2.000e-04, eta: 3:27:51, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.3298, loss_bbox: 0.8938, loss_iou: 1.2819, d0.loss_cls: 2.4351, d0.loss_bbox: 0.9239, d0.loss_iou: 1.3091, d1.loss_cls: 2.3857, d1.loss_bbox: 0.9116, d1.loss_iou: 1.2988, d2.loss_cls: 2.3516, d2.loss_bbox: 0.9011, d2.loss_iou: 1.2891, d3.loss_cls: 2.3409, d3.loss_bbox: 0.8956, d3.loss_iou: 1.2847, d4.loss_cls: 2.3329, d4.loss_bbox: 0.8954, d4.loss_iou: 1.2834, loss: 27.3443, grad_norm: 16.8640 +2022-10-26 19:46:12,240 - mmdet - INFO - Epoch [3][450/1849] lr: 2.000e-04, eta: 3:27:46, time: 0.143, data_time: 0.005, memory: 4227, loss_cls: 2.3336, loss_bbox: 0.8971, loss_iou: 1.2809, d0.loss_cls: 2.4421, d0.loss_bbox: 0.9272, d0.loss_iou: 1.3089, d1.loss_cls: 2.3917, d1.loss_bbox: 0.9167, d1.loss_iou: 1.2994, d2.loss_cls: 2.3621, d2.loss_bbox: 0.9056, d2.loss_iou: 1.2879, d3.loss_cls: 2.3491, d3.loss_bbox: 0.9003, d3.loss_iou: 1.2845, d4.loss_cls: 2.3386, d4.loss_bbox: 0.8971, d4.loss_iou: 1.2823, loss: 27.4050, grad_norm: 16.0465 +2022-10-26 19:46:19,280 - mmdet - INFO - Epoch [3][500/1849] lr: 2.000e-04, eta: 3:27:39, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.3019, loss_bbox: 0.8906, loss_iou: 1.2814, d0.loss_cls: 2.4044, d0.loss_bbox: 0.9199, d0.loss_iou: 1.3099, d1.loss_cls: 2.3543, d1.loss_bbox: 0.9088, d1.loss_iou: 1.2975, d2.loss_cls: 2.3225, d2.loss_bbox: 0.8987, d2.loss_iou: 1.2880, d3.loss_cls: 2.3139, d3.loss_bbox: 0.8936, d3.loss_iou: 1.2834, d4.loss_cls: 2.3048, d4.loss_bbox: 0.8917, d4.loss_iou: 1.2813, loss: 27.1467, grad_norm: 17.5196 +2022-10-26 19:46:26,293 - mmdet - INFO - Epoch [3][550/1849] lr: 2.000e-04, eta: 3:27:31, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.3222, loss_bbox: 0.8894, loss_iou: 1.2775, d0.loss_cls: 2.4220, d0.loss_bbox: 0.9222, d0.loss_iou: 1.3078, d1.loss_cls: 2.3753, d1.loss_bbox: 0.9104, d1.loss_iou: 1.2976, d2.loss_cls: 2.3463, d2.loss_bbox: 0.8994, d2.loss_iou: 1.2869, d3.loss_cls: 2.3352, d3.loss_bbox: 0.8922, d3.loss_iou: 1.2815, d4.loss_cls: 2.3267, d4.loss_bbox: 0.8904, d4.loss_iou: 1.2794, loss: 27.2623, grad_norm: 16.5295 +2022-10-26 19:46:33,184 - mmdet - INFO - Epoch [3][600/1849] lr: 2.000e-04, eta: 3:27:20, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.3208, loss_bbox: 0.8889, loss_iou: 1.2762, d0.loss_cls: 2.4259, d0.loss_bbox: 0.9195, d0.loss_iou: 1.3054, d1.loss_cls: 2.3740, d1.loss_bbox: 0.9064, d1.loss_iou: 1.2955, d2.loss_cls: 2.3421, d2.loss_bbox: 0.8962, d2.loss_iou: 1.2850, d3.loss_cls: 2.3332, d3.loss_bbox: 0.8921, d3.loss_iou: 1.2812, d4.loss_cls: 2.3271, d4.loss_bbox: 0.8904, d4.loss_iou: 1.2787, loss: 27.2385, grad_norm: 18.4330 +2022-10-26 19:46:40,281 - mmdet - INFO - Epoch [3][650/1849] lr: 2.000e-04, eta: 3:27:14, time: 0.142, data_time: 0.005, memory: 4227, loss_cls: 2.3117, loss_bbox: 0.8885, loss_iou: 1.2760, d0.loss_cls: 2.4142, d0.loss_bbox: 0.9208, d0.loss_iou: 1.3053, d1.loss_cls: 2.3657, d1.loss_bbox: 0.9085, d1.loss_iou: 1.2949, d2.loss_cls: 2.3390, d2.loss_bbox: 0.8973, d2.loss_iou: 1.2834, d3.loss_cls: 2.3261, d3.loss_bbox: 0.8915, d3.loss_iou: 1.2785, d4.loss_cls: 2.3161, d4.loss_bbox: 0.8887, d4.loss_iou: 1.2768, loss: 27.1830, grad_norm: 15.2816 +2022-10-26 19:46:47,194 - mmdet - INFO - Epoch [3][700/1849] lr: 2.000e-04, eta: 3:27:04, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.3282, loss_bbox: 0.8843, loss_iou: 1.2750, d0.loss_cls: 2.4352, d0.loss_bbox: 0.9179, d0.loss_iou: 1.3062, d1.loss_cls: 2.3840, d1.loss_bbox: 0.9051, d1.loss_iou: 1.2954, d2.loss_cls: 2.3516, d2.loss_bbox: 0.8937, d2.loss_iou: 1.2833, d3.loss_cls: 2.3429, d3.loss_bbox: 0.8877, d3.loss_iou: 1.2796, d4.loss_cls: 2.3343, d4.loss_bbox: 0.8856, d4.loss_iou: 1.2763, loss: 27.2661, grad_norm: 16.2326 +2022-10-26 19:46:54,104 - mmdet - INFO - Epoch [3][750/1849] lr: 2.000e-04, eta: 3:26:54, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2978, loss_bbox: 0.8859, loss_iou: 1.2726, d0.loss_cls: 2.4021, d0.loss_bbox: 0.9169, d0.loss_iou: 1.3028, d1.loss_cls: 2.3547, d1.loss_bbox: 0.9052, d1.loss_iou: 1.2933, d2.loss_cls: 2.3231, d2.loss_bbox: 0.8934, d2.loss_iou: 1.2820, d3.loss_cls: 2.3115, d3.loss_bbox: 0.8895, d3.loss_iou: 1.2756, d4.loss_cls: 2.3011, d4.loss_bbox: 0.8871, d4.loss_iou: 1.2741, loss: 27.0687, grad_norm: 15.5184 +2022-10-26 19:47:00,986 - mmdet - INFO - Epoch [3][800/1849] lr: 2.000e-04, eta: 3:26:44, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.3069, loss_bbox: 0.8834, loss_iou: 1.2717, d0.loss_cls: 2.4146, d0.loss_bbox: 0.9150, d0.loss_iou: 1.3017, d1.loss_cls: 2.3648, d1.loss_bbox: 0.9025, d1.loss_iou: 1.2887, d2.loss_cls: 2.3343, d2.loss_bbox: 0.8928, d2.loss_iou: 1.2795, d3.loss_cls: 2.3206, d3.loss_bbox: 0.8860, d3.loss_iou: 1.2746, d4.loss_cls: 2.3114, d4.loss_bbox: 0.8841, d4.loss_iou: 1.2727, loss: 27.1053, grad_norm: 16.1414 +2022-10-26 19:47:07,885 - mmdet - INFO - Epoch [3][850/1849] lr: 2.000e-04, eta: 3:26:34, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2838, loss_bbox: 0.8850, loss_iou: 1.2734, d0.loss_cls: 2.3912, d0.loss_bbox: 0.9168, d0.loss_iou: 1.3022, d1.loss_cls: 2.3425, d1.loss_bbox: 0.9040, d1.loss_iou: 1.2915, d2.loss_cls: 2.3105, d2.loss_bbox: 0.8930, d2.loss_iou: 1.2815, d3.loss_cls: 2.2993, d3.loss_bbox: 0.8880, d3.loss_iou: 1.2774, d4.loss_cls: 2.2860, d4.loss_bbox: 0.8866, d4.loss_iou: 1.2747, loss: 26.9873, grad_norm: 16.2289 +2022-10-26 19:47:14,685 - mmdet - INFO - Epoch [3][900/1849] lr: 2.000e-04, eta: 3:26:22, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.3024, loss_bbox: 0.8817, loss_iou: 1.2690, d0.loss_cls: 2.4003, d0.loss_bbox: 0.9147, d0.loss_iou: 1.2995, d1.loss_cls: 2.3557, d1.loss_bbox: 0.9038, d1.loss_iou: 1.2896, d2.loss_cls: 2.3240, d2.loss_bbox: 0.8912, d2.loss_iou: 1.2785, d3.loss_cls: 2.3157, d3.loss_bbox: 0.8861, d3.loss_iou: 1.2732, d4.loss_cls: 2.3074, d4.loss_bbox: 0.8831, d4.loss_iou: 1.2706, loss: 27.0463, grad_norm: 15.5575 +2022-10-26 19:47:21,553 - mmdet - INFO - Epoch [3][950/1849] lr: 2.000e-04, eta: 3:26:11, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.3036, loss_bbox: 0.8853, loss_iou: 1.2731, d0.loss_cls: 2.4040, d0.loss_bbox: 0.9168, d0.loss_iou: 1.3008, d1.loss_cls: 2.3586, d1.loss_bbox: 0.9037, d1.loss_iou: 1.2920, d2.loss_cls: 2.3251, d2.loss_bbox: 0.8911, d2.loss_iou: 1.2790, d3.loss_cls: 2.3160, d3.loss_bbox: 0.8873, d3.loss_iou: 1.2752, d4.loss_cls: 2.3099, d4.loss_bbox: 0.8867, d4.loss_iou: 1.2731, loss: 27.0812, grad_norm: 16.2043 +2022-10-26 19:47:28,396 - mmdet - INFO - Epoch [3][1000/1849] lr: 2.000e-04, eta: 3:26:01, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.2962, loss_bbox: 0.8833, loss_iou: 1.2694, d0.loss_cls: 2.4011, d0.loss_bbox: 0.9156, d0.loss_iou: 1.2991, d1.loss_cls: 2.3536, d1.loss_bbox: 0.9029, d1.loss_iou: 1.2888, d2.loss_cls: 2.3209, d2.loss_bbox: 0.8911, d2.loss_iou: 1.2761, d3.loss_cls: 2.3091, d3.loss_bbox: 0.8861, d3.loss_iou: 1.2717, d4.loss_cls: 2.3002, d4.loss_bbox: 0.8842, d4.loss_iou: 1.2709, loss: 27.0205, grad_norm: 17.1234 +2022-10-26 19:47:35,326 - mmdet - INFO - Epoch [3][1050/1849] lr: 2.000e-04, eta: 3:25:51, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.2751, loss_bbox: 0.8782, loss_iou: 1.2655, d0.loss_cls: 2.3824, d0.loss_bbox: 0.9125, d0.loss_iou: 1.2947, d1.loss_cls: 2.3293, d1.loss_bbox: 0.8980, d1.loss_iou: 1.2849, d2.loss_cls: 2.2990, d2.loss_bbox: 0.8873, d2.loss_iou: 1.2727, d3.loss_cls: 2.2904, d3.loss_bbox: 0.8822, d3.loss_iou: 1.2679, d4.loss_cls: 2.2800, d4.loss_bbox: 0.8796, d4.loss_iou: 1.2665, loss: 26.8461, grad_norm: 16.3593 +2022-10-26 19:47:41,928 - mmdet - INFO - Epoch [3][1100/1849] lr: 2.000e-04, eta: 3:25:36, time: 0.132, data_time: 0.004, memory: 4227, loss_cls: 2.2824, loss_bbox: 0.8790, loss_iou: 1.2698, d0.loss_cls: 2.3873, d0.loss_bbox: 0.9119, d0.loss_iou: 1.2999, d1.loss_cls: 2.3419, d1.loss_bbox: 0.9005, d1.loss_iou: 1.2915, d2.loss_cls: 2.3116, d2.loss_bbox: 0.8892, d2.loss_iou: 1.2791, d3.loss_cls: 2.2977, d3.loss_bbox: 0.8814, d3.loss_iou: 1.2726, d4.loss_cls: 2.2884, d4.loss_bbox: 0.8804, d4.loss_iou: 1.2716, loss: 26.9363, grad_norm: 15.3812 +2022-10-26 19:47:48,763 - mmdet - INFO - Epoch [3][1150/1849] lr: 2.000e-04, eta: 3:25:25, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.2799, loss_bbox: 0.8798, loss_iou: 1.2639, d0.loss_cls: 2.3778, d0.loss_bbox: 0.9138, d0.loss_iou: 1.2935, d1.loss_cls: 2.3335, d1.loss_bbox: 0.9000, d1.loss_iou: 1.2838, d2.loss_cls: 2.3044, d2.loss_bbox: 0.8883, d2.loss_iou: 1.2723, d3.loss_cls: 2.2933, d3.loss_bbox: 0.8831, d3.loss_iou: 1.2673, d4.loss_cls: 2.2851, d4.loss_bbox: 0.8810, d4.loss_iou: 1.2650, loss: 26.8659, grad_norm: 14.5330 +2022-10-26 19:47:55,422 - mmdet - INFO - Epoch [3][1200/1849] lr: 2.000e-04, eta: 3:25:12, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.2716, loss_bbox: 0.8749, loss_iou: 1.2584, d0.loss_cls: 2.3758, d0.loss_bbox: 0.9096, d0.loss_iou: 1.2898, d1.loss_cls: 2.3287, d1.loss_bbox: 0.8960, d1.loss_iou: 1.2795, d2.loss_cls: 2.2951, d2.loss_bbox: 0.8835, d2.loss_iou: 1.2677, d3.loss_cls: 2.2841, d3.loss_bbox: 0.8782, d3.loss_iou: 1.2621, d4.loss_cls: 2.2737, d4.loss_bbox: 0.8758, d4.loss_iou: 1.2600, loss: 26.7646, grad_norm: 14.8766 +2022-10-26 19:48:02,391 - mmdet - INFO - Epoch [3][1250/1849] lr: 2.000e-04, eta: 3:25:04, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.2938, loss_bbox: 0.8783, loss_iou: 1.2665, d0.loss_cls: 2.3959, d0.loss_bbox: 0.9123, d0.loss_iou: 1.2964, d1.loss_cls: 2.3512, d1.loss_bbox: 0.8989, d1.loss_iou: 1.2866, d2.loss_cls: 2.3194, d2.loss_bbox: 0.8860, d2.loss_iou: 1.2739, d3.loss_cls: 2.3062, d3.loss_bbox: 0.8811, d3.loss_iou: 1.2694, d4.loss_cls: 2.2998, d4.loss_bbox: 0.8793, d4.loss_iou: 1.2680, loss: 26.9628, grad_norm: 16.4155 +2022-10-26 19:48:09,422 - mmdet - INFO - Epoch [3][1300/1849] lr: 2.000e-04, eta: 3:24:57, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.2844, loss_bbox: 0.8762, loss_iou: 1.2625, d0.loss_cls: 2.3911, d0.loss_bbox: 0.9080, d0.loss_iou: 1.2931, d1.loss_cls: 2.3428, d1.loss_bbox: 0.8968, d1.loss_iou: 1.2832, d2.loss_cls: 2.3121, d2.loss_bbox: 0.8854, d2.loss_iou: 1.2718, d3.loss_cls: 2.2987, d3.loss_bbox: 0.8795, d3.loss_iou: 1.2668, d4.loss_cls: 2.2887, d4.loss_bbox: 0.8780, d4.loss_iou: 1.2642, loss: 26.8835, grad_norm: 15.2874 +2022-10-26 19:48:16,289 - mmdet - INFO - Epoch [3][1350/1849] lr: 2.000e-04, eta: 3:24:47, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.2708, loss_bbox: 0.8772, loss_iou: 1.2603, d0.loss_cls: 2.3771, d0.loss_bbox: 0.9120, d0.loss_iou: 1.2905, d1.loss_cls: 2.3265, d1.loss_bbox: 0.8985, d1.loss_iou: 1.2807, d2.loss_cls: 2.2972, d2.loss_bbox: 0.8864, d2.loss_iou: 1.2684, d3.loss_cls: 2.2859, d3.loss_bbox: 0.8803, d3.loss_iou: 1.2633, d4.loss_cls: 2.2754, d4.loss_bbox: 0.8780, d4.loss_iou: 1.2614, loss: 26.7898, grad_norm: 16.9663 +2022-10-26 19:48:22,972 - mmdet - INFO - Epoch [3][1400/1849] lr: 2.000e-04, eta: 3:24:34, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.2643, loss_bbox: 0.8686, loss_iou: 1.2583, d0.loss_cls: 2.3624, d0.loss_bbox: 0.9045, d0.loss_iou: 1.2890, d1.loss_cls: 2.3195, d1.loss_bbox: 0.8902, d1.loss_iou: 1.2782, d2.loss_cls: 2.2858, d2.loss_bbox: 0.8769, d2.loss_iou: 1.2665, d3.loss_cls: 2.2743, d3.loss_bbox: 0.8719, d3.loss_iou: 1.2612, d4.loss_cls: 2.2670, d4.loss_bbox: 0.8697, d4.loss_iou: 1.2596, loss: 26.6679, grad_norm: 15.7907 +2022-10-26 19:48:29,926 - mmdet - INFO - Epoch [3][1450/1849] lr: 2.000e-04, eta: 3:24:25, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.2756, loss_bbox: 0.8724, loss_iou: 1.2557, d0.loss_cls: 2.3715, d0.loss_bbox: 0.9062, d0.loss_iou: 1.2852, d1.loss_cls: 2.3267, d1.loss_bbox: 0.8942, d1.loss_iou: 1.2766, d2.loss_cls: 2.2994, d2.loss_bbox: 0.8807, d2.loss_iou: 1.2647, d3.loss_cls: 2.2885, d3.loss_bbox: 0.8752, d3.loss_iou: 1.2596, d4.loss_cls: 2.2807, d4.loss_bbox: 0.8736, d4.loss_iou: 1.2570, loss: 26.7435, grad_norm: 15.0019 +2022-10-26 19:48:36,628 - mmdet - INFO - Epoch [3][1500/1849] lr: 2.000e-04, eta: 3:24:13, time: 0.134, data_time: 0.005, memory: 4227, loss_cls: 2.2697, loss_bbox: 0.8762, loss_iou: 1.2712, d0.loss_cls: 2.3780, d0.loss_bbox: 0.9106, d0.loss_iou: 1.3005, d1.loss_cls: 2.3279, d1.loss_bbox: 0.8965, d1.loss_iou: 1.2915, d2.loss_cls: 2.2979, d2.loss_bbox: 0.8850, d2.loss_iou: 1.2789, d3.loss_cls: 2.2844, d3.loss_bbox: 0.8798, d3.loss_iou: 1.2741, d4.loss_cls: 2.2727, d4.loss_bbox: 0.8776, d4.loss_iou: 1.2728, loss: 26.8453, grad_norm: 17.8107 +2022-10-26 19:48:43,467 - mmdet - INFO - Epoch [3][1550/1849] lr: 2.000e-04, eta: 3:24:03, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.2666, loss_bbox: 0.8745, loss_iou: 1.2606, d0.loss_cls: 2.3682, d0.loss_bbox: 0.9102, d0.loss_iou: 1.2916, d1.loss_cls: 2.3188, d1.loss_bbox: 0.8953, d1.loss_iou: 1.2815, d2.loss_cls: 2.2907, d2.loss_bbox: 0.8833, d2.loss_iou: 1.2700, d3.loss_cls: 2.2792, d3.loss_bbox: 0.8777, d3.loss_iou: 1.2638, d4.loss_cls: 2.2701, d4.loss_bbox: 0.8751, d4.loss_iou: 1.2616, loss: 26.7388, grad_norm: 16.0498 +2022-10-26 19:48:50,338 - mmdet - INFO - Epoch [3][1600/1849] lr: 2.000e-04, eta: 3:23:54, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.2555, loss_bbox: 0.8717, loss_iou: 1.2555, d0.loss_cls: 2.3556, d0.loss_bbox: 0.9051, d0.loss_iou: 1.2875, d1.loss_cls: 2.3097, d1.loss_bbox: 0.8919, d1.loss_iou: 1.2773, d2.loss_cls: 2.2789, d2.loss_bbox: 0.8800, d2.loss_iou: 1.2652, d3.loss_cls: 2.2704, d3.loss_bbox: 0.8739, d3.loss_iou: 1.2592, d4.loss_cls: 2.2600, d4.loss_bbox: 0.8724, d4.loss_iou: 1.2568, loss: 26.6265, grad_norm: 14.2028 +2022-10-26 19:48:57,314 - mmdet - INFO - Epoch [3][1650/1849] lr: 2.000e-04, eta: 3:23:46, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.2781, loss_bbox: 0.8729, loss_iou: 1.2610, d0.loss_cls: 2.3785, d0.loss_bbox: 0.9079, d0.loss_iou: 1.2940, d1.loss_cls: 2.3311, d1.loss_bbox: 0.8939, d1.loss_iou: 1.2813, d2.loss_cls: 2.3040, d2.loss_bbox: 0.8820, d2.loss_iou: 1.2697, d3.loss_cls: 2.2912, d3.loss_bbox: 0.8763, d3.loss_iou: 1.2645, d4.loss_cls: 2.2839, d4.loss_bbox: 0.8745, d4.loss_iou: 1.2619, loss: 26.8067, grad_norm: 14.9361 +2022-10-26 19:49:04,248 - mmdet - INFO - Epoch [3][1700/1849] lr: 2.000e-04, eta: 3:23:38, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.2560, loss_bbox: 0.8697, loss_iou: 1.2580, d0.loss_cls: 2.3555, d0.loss_bbox: 0.9040, d0.loss_iou: 1.2884, d1.loss_cls: 2.3107, d1.loss_bbox: 0.8906, d1.loss_iou: 1.2800, d2.loss_cls: 2.2833, d2.loss_bbox: 0.8777, d2.loss_iou: 1.2665, d3.loss_cls: 2.2703, d3.loss_bbox: 0.8722, d3.loss_iou: 1.2609, d4.loss_cls: 2.2605, d4.loss_bbox: 0.8709, d4.loss_iou: 1.2605, loss: 26.6359, grad_norm: 14.8643 +2022-10-26 19:49:11,013 - mmdet - INFO - Epoch [3][1750/1849] lr: 2.000e-04, eta: 3:23:27, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.2531, loss_bbox: 0.8694, loss_iou: 1.2549, d0.loss_cls: 2.3541, d0.loss_bbox: 0.9038, d0.loss_iou: 1.2860, d1.loss_cls: 2.3081, d1.loss_bbox: 0.8906, d1.loss_iou: 1.2757, d2.loss_cls: 2.2799, d2.loss_bbox: 0.8782, d2.loss_iou: 1.2631, d3.loss_cls: 2.2701, d3.loss_bbox: 0.8729, d3.loss_iou: 1.2571, d4.loss_cls: 2.2614, d4.loss_bbox: 0.8706, d4.loss_iou: 1.2557, loss: 26.6048, grad_norm: 16.1152 +2022-10-26 19:49:17,766 - mmdet - INFO - Epoch [3][1800/1849] lr: 2.000e-04, eta: 3:23:15, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.2476, loss_bbox: 0.8664, loss_iou: 1.2548, d0.loss_cls: 2.3433, d0.loss_bbox: 0.9020, d0.loss_iou: 1.2860, d1.loss_cls: 2.3047, d1.loss_bbox: 0.8851, d1.loss_iou: 1.2754, d2.loss_cls: 2.2722, d2.loss_bbox: 0.8731, d2.loss_iou: 1.2638, d3.loss_cls: 2.2616, d3.loss_bbox: 0.8690, d3.loss_iou: 1.2590, d4.loss_cls: 2.2521, d4.loss_bbox: 0.8669, d4.loss_iou: 1.2560, loss: 26.5389, grad_norm: 15.9399 +2022-10-26 19:49:24,845 - mmdet - INFO - Saving checkpoint at 3 epochs +2022-10-26 19:49:35,618 - mmdet - INFO - Epoch [4][50/1849] lr: 2.000e-04, eta: 3:22:04, time: 0.203, data_time: 0.065, memory: 4227, loss_cls: 2.2234, loss_bbox: 0.8631, loss_iou: 1.2541, d0.loss_cls: 2.3206, d0.loss_bbox: 0.8963, d0.loss_iou: 1.2869, d1.loss_cls: 2.2786, d1.loss_bbox: 0.8842, d1.loss_iou: 1.2773, d2.loss_cls: 2.2487, d2.loss_bbox: 0.8721, d2.loss_iou: 1.2640, d3.loss_cls: 2.2398, d3.loss_bbox: 0.8660, d3.loss_iou: 1.2578, d4.loss_cls: 2.2281, d4.loss_bbox: 0.8646, d4.loss_iou: 1.2554, loss: 26.3810, grad_norm: 14.9691 +2022-10-26 19:49:42,673 - mmdet - INFO - Epoch [4][100/1849] lr: 2.000e-04, eta: 3:21:58, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.2550, loss_bbox: 0.8637, loss_iou: 1.2500, d0.loss_cls: 2.3515, d0.loss_bbox: 0.9005, d0.loss_iou: 1.2843, d1.loss_cls: 2.3112, d1.loss_bbox: 0.8854, d1.loss_iou: 1.2715, d2.loss_cls: 2.2806, d2.loss_bbox: 0.8733, d2.loss_iou: 1.2597, d3.loss_cls: 2.2705, d3.loss_bbox: 0.8675, d3.loss_iou: 1.2526, d4.loss_cls: 2.2619, d4.loss_bbox: 0.8648, d4.loss_iou: 1.2512, loss: 26.5553, grad_norm: 13.9669 +2022-10-26 19:49:49,532 - mmdet - INFO - Epoch [4][150/1849] lr: 2.000e-04, eta: 3:21:49, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.2452, loss_bbox: 0.8668, loss_iou: 1.2496, d0.loss_cls: 2.3462, d0.loss_bbox: 0.9016, d0.loss_iou: 1.2809, d1.loss_cls: 2.2982, d1.loss_bbox: 0.8880, d1.loss_iou: 1.2723, d2.loss_cls: 2.2675, d2.loss_bbox: 0.8757, d2.loss_iou: 1.2593, d3.loss_cls: 2.2572, d3.loss_bbox: 0.8699, d3.loss_iou: 1.2523, d4.loss_cls: 2.2486, d4.loss_bbox: 0.8682, d4.loss_iou: 1.2504, loss: 26.4978, grad_norm: 15.6222 +2022-10-26 19:49:56,454 - mmdet - INFO - Epoch [4][200/1849] lr: 2.000e-04, eta: 3:21:41, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.2422, loss_bbox: 0.8666, loss_iou: 1.2458, d0.loss_cls: 2.3418, d0.loss_bbox: 0.8984, d0.loss_iou: 1.2774, d1.loss_cls: 2.2993, d1.loss_bbox: 0.8858, d1.loss_iou: 1.2663, d2.loss_cls: 2.2696, d2.loss_bbox: 0.8742, d2.loss_iou: 1.2546, d3.loss_cls: 2.2559, d3.loss_bbox: 0.8691, d3.loss_iou: 1.2492, d4.loss_cls: 2.2450, d4.loss_bbox: 0.8672, d4.loss_iou: 1.2481, loss: 26.4563, grad_norm: 16.0334 +2022-10-26 19:50:03,385 - mmdet - INFO - Epoch [4][250/1849] lr: 2.000e-04, eta: 3:21:33, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.2214, loss_bbox: 0.8611, loss_iou: 1.2475, d0.loss_cls: 2.3277, d0.loss_bbox: 0.8989, d0.loss_iou: 1.2816, d1.loss_cls: 2.2812, d1.loss_bbox: 0.8828, d1.loss_iou: 1.2688, d2.loss_cls: 2.2486, d2.loss_bbox: 0.8708, d2.loss_iou: 1.2570, d3.loss_cls: 2.2380, d3.loss_bbox: 0.8648, d3.loss_iou: 1.2513, d4.loss_cls: 2.2263, d4.loss_bbox: 0.8626, d4.loss_iou: 1.2481, loss: 26.3385, grad_norm: 15.2534 +2022-10-26 19:50:10,210 - mmdet - INFO - Epoch [4][300/1849] lr: 2.000e-04, eta: 3:21:24, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.2383, loss_bbox: 0.8624, loss_iou: 1.2506, d0.loss_cls: 2.3388, d0.loss_bbox: 0.8956, d0.loss_iou: 1.2812, d1.loss_cls: 2.2963, d1.loss_bbox: 0.8824, d1.loss_iou: 1.2707, d2.loss_cls: 2.2655, d2.loss_bbox: 0.8697, d2.loss_iou: 1.2575, d3.loss_cls: 2.2550, d3.loss_bbox: 0.8647, d3.loss_iou: 1.2525, d4.loss_cls: 2.2437, d4.loss_bbox: 0.8630, d4.loss_iou: 1.2512, loss: 26.4390, grad_norm: 18.1922 +2022-10-26 19:50:17,133 - mmdet - INFO - Epoch [4][350/1849] lr: 2.000e-04, eta: 3:21:16, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.2256, loss_bbox: 0.8646, loss_iou: 1.2496, d0.loss_cls: 2.3267, d0.loss_bbox: 0.9003, d0.loss_iou: 1.2828, d1.loss_cls: 2.2834, d1.loss_bbox: 0.8855, d1.loss_iou: 1.2710, d2.loss_cls: 2.2534, d2.loss_bbox: 0.8736, d2.loss_iou: 1.2583, d3.loss_cls: 2.2407, d3.loss_bbox: 0.8681, d3.loss_iou: 1.2530, d4.loss_cls: 2.2328, d4.loss_bbox: 0.8660, d4.loss_iou: 1.2515, loss: 26.3869, grad_norm: 15.8487 +2022-10-26 19:50:23,765 - mmdet - INFO - Epoch [4][400/1849] lr: 2.000e-04, eta: 3:21:04, time: 0.133, data_time: 0.005, memory: 4227, loss_cls: 2.2240, loss_bbox: 0.8604, loss_iou: 1.2522, d0.loss_cls: 2.3270, d0.loss_bbox: 0.8948, d0.loss_iou: 1.2835, d1.loss_cls: 2.2822, d1.loss_bbox: 0.8810, d1.loss_iou: 1.2728, d2.loss_cls: 2.2493, d2.loss_bbox: 0.8699, d2.loss_iou: 1.2612, d3.loss_cls: 2.2363, d3.loss_bbox: 0.8638, d3.loss_iou: 1.2546, d4.loss_cls: 2.2273, d4.loss_bbox: 0.8615, d4.loss_iou: 1.2529, loss: 26.3547, grad_norm: 16.4072 +2022-10-26 19:50:30,512 - mmdet - INFO - Epoch [4][450/1849] lr: 2.000e-04, eta: 3:20:54, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.2314, loss_bbox: 0.8567, loss_iou: 1.2443, d0.loss_cls: 2.3260, d0.loss_bbox: 0.8927, d0.loss_iou: 1.2780, d1.loss_cls: 2.2870, d1.loss_bbox: 0.8789, d1.loss_iou: 1.2677, d2.loss_cls: 2.2581, d2.loss_bbox: 0.8676, d2.loss_iou: 1.2535, d3.loss_cls: 2.2443, d3.loss_bbox: 0.8608, d3.loss_iou: 1.2484, d4.loss_cls: 2.2358, d4.loss_bbox: 0.8583, d4.loss_iou: 1.2457, loss: 26.3351, grad_norm: 15.1101 +2022-10-26 19:50:37,269 - mmdet - INFO - Epoch [4][500/1849] lr: 2.000e-04, eta: 3:20:44, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.2294, loss_bbox: 0.8647, loss_iou: 1.2518, d0.loss_cls: 2.3217, d0.loss_bbox: 0.9007, d0.loss_iou: 1.2844, d1.loss_cls: 2.2840, d1.loss_bbox: 0.8849, d1.loss_iou: 1.2719, d2.loss_cls: 2.2523, d2.loss_bbox: 0.8725, d2.loss_iou: 1.2608, d3.loss_cls: 2.2418, d3.loss_bbox: 0.8661, d3.loss_iou: 1.2552, d4.loss_cls: 2.2345, d4.loss_bbox: 0.8650, d4.loss_iou: 1.2524, loss: 26.3940, grad_norm: 15.1723 +2022-10-26 19:50:44,146 - mmdet - INFO - Epoch [4][550/1849] lr: 2.000e-04, eta: 3:20:36, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.2333, loss_bbox: 0.8621, loss_iou: 1.2450, d0.loss_cls: 2.3309, d0.loss_bbox: 0.8978, d0.loss_iou: 1.2794, d1.loss_cls: 2.2882, d1.loss_bbox: 0.8837, d1.loss_iou: 1.2683, d2.loss_cls: 2.2594, d2.loss_bbox: 0.8699, d2.loss_iou: 1.2536, d3.loss_cls: 2.2443, d3.loss_bbox: 0.8661, d3.loss_iou: 1.2481, d4.loss_cls: 2.2371, d4.loss_bbox: 0.8644, d4.loss_iou: 1.2472, loss: 26.3789, grad_norm: 14.4203 +2022-10-26 19:50:51,079 - mmdet - INFO - Epoch [4][600/1849] lr: 2.000e-04, eta: 3:20:28, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.2242, loss_bbox: 0.8590, loss_iou: 1.2437, d0.loss_cls: 2.3228, d0.loss_bbox: 0.8960, d0.loss_iou: 1.2754, d1.loss_cls: 2.2808, d1.loss_bbox: 0.8798, d1.loss_iou: 1.2639, d2.loss_cls: 2.2504, d2.loss_bbox: 0.8680, d2.loss_iou: 1.2524, d3.loss_cls: 2.2397, d3.loss_bbox: 0.8630, d3.loss_iou: 1.2474, d4.loss_cls: 2.2266, d4.loss_bbox: 0.8600, d4.loss_iou: 1.2447, loss: 26.2980, grad_norm: 15.2452 +2022-10-26 19:50:58,007 - mmdet - INFO - Epoch [4][650/1849] lr: 2.000e-04, eta: 3:20:21, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.2313, loss_bbox: 0.8612, loss_iou: 1.2497, d0.loss_cls: 2.3224, d0.loss_bbox: 0.8979, d0.loss_iou: 1.2844, d1.loss_cls: 2.2865, d1.loss_bbox: 0.8814, d1.loss_iou: 1.2720, d2.loss_cls: 2.2528, d2.loss_bbox: 0.8692, d2.loss_iou: 1.2582, d3.loss_cls: 2.2421, d3.loss_bbox: 0.8637, d3.loss_iou: 1.2521, d4.loss_cls: 2.2338, d4.loss_bbox: 0.8618, d4.loss_iou: 1.2505, loss: 26.3710, grad_norm: 15.3958 +2022-10-26 19:51:05,376 - mmdet - INFO - Epoch [4][700/1849] lr: 2.000e-04, eta: 3:20:19, time: 0.147, data_time: 0.004, memory: 4227, loss_cls: 2.2215, loss_bbox: 0.8627, loss_iou: 1.2453, d0.loss_cls: 2.3244, d0.loss_bbox: 0.8979, d0.loss_iou: 1.2780, d1.loss_cls: 2.2844, d1.loss_bbox: 0.8841, d1.loss_iou: 1.2672, d2.loss_cls: 2.2504, d2.loss_bbox: 0.8706, d2.loss_iou: 1.2544, d3.loss_cls: 2.2388, d3.loss_bbox: 0.8652, d3.loss_iou: 1.2482, d4.loss_cls: 2.2298, d4.loss_bbox: 0.8630, d4.loss_iou: 1.2460, loss: 26.3319, grad_norm: 15.1595 +2022-10-26 19:51:12,241 - mmdet - INFO - Epoch [4][750/1849] lr: 2.000e-04, eta: 3:20:11, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.2106, loss_bbox: 0.8565, loss_iou: 1.2444, d0.loss_cls: 2.3086, d0.loss_bbox: 0.8952, d0.loss_iou: 1.2798, d1.loss_cls: 2.2676, d1.loss_bbox: 0.8776, d1.loss_iou: 1.2674, d2.loss_cls: 2.2368, d2.loss_bbox: 0.8646, d2.loss_iou: 1.2541, d3.loss_cls: 2.2229, d3.loss_bbox: 0.8595, d3.loss_iou: 1.2486, d4.loss_cls: 2.2127, d4.loss_bbox: 0.8578, d4.loss_iou: 1.2459, loss: 26.2108, grad_norm: 14.3640 +2022-10-26 19:51:19,044 - mmdet - INFO - Epoch [4][800/1849] lr: 2.000e-04, eta: 3:20:02, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.2189, loss_bbox: 0.8528, loss_iou: 1.2435, d0.loss_cls: 2.3171, d0.loss_bbox: 0.8902, d0.loss_iou: 1.2791, d1.loss_cls: 2.2734, d1.loss_bbox: 0.8739, d1.loss_iou: 1.2673, d2.loss_cls: 2.2427, d2.loss_bbox: 0.8614, d2.loss_iou: 1.2535, d3.loss_cls: 2.2328, d3.loss_bbox: 0.8560, d3.loss_iou: 1.2471, d4.loss_cls: 2.2257, d4.loss_bbox: 0.8533, d4.loss_iou: 1.2453, loss: 26.2338, grad_norm: 13.5795 +2022-10-26 19:51:25,960 - mmdet - INFO - Epoch [4][850/1849] lr: 2.000e-04, eta: 3:19:54, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2178, loss_bbox: 0.8589, loss_iou: 1.2434, d0.loss_cls: 2.3133, d0.loss_bbox: 0.8946, d0.loss_iou: 1.2761, d1.loss_cls: 2.2715, d1.loss_bbox: 0.8802, d1.loss_iou: 1.2654, d2.loss_cls: 2.2424, d2.loss_bbox: 0.8678, d2.loss_iou: 1.2530, d3.loss_cls: 2.2328, d3.loss_bbox: 0.8621, d3.loss_iou: 1.2466, d4.loss_cls: 2.2234, d4.loss_bbox: 0.8600, d4.loss_iou: 1.2447, loss: 26.2540, grad_norm: 14.8301 +2022-10-26 19:51:32,952 - mmdet - INFO - Epoch [4][900/1849] lr: 2.000e-04, eta: 3:19:47, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.2190, loss_bbox: 0.8585, loss_iou: 1.2405, d0.loss_cls: 2.3162, d0.loss_bbox: 0.8957, d0.loss_iou: 1.2751, d1.loss_cls: 2.2742, d1.loss_bbox: 0.8819, d1.loss_iou: 1.2638, d2.loss_cls: 2.2454, d2.loss_bbox: 0.8681, d2.loss_iou: 1.2506, d3.loss_cls: 2.2331, d3.loss_bbox: 0.8620, d3.loss_iou: 1.2441, d4.loss_cls: 2.2228, d4.loss_bbox: 0.8598, d4.loss_iou: 1.2419, loss: 26.2526, grad_norm: 15.3096 +2022-10-26 19:51:39,937 - mmdet - INFO - Epoch [4][950/1849] lr: 2.000e-04, eta: 3:19:40, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.2207, loss_bbox: 0.8568, loss_iou: 1.2412, d0.loss_cls: 2.3170, d0.loss_bbox: 0.8941, d0.loss_iou: 1.2748, d1.loss_cls: 2.2782, d1.loss_bbox: 0.8779, d1.loss_iou: 1.2638, d2.loss_cls: 2.2482, d2.loss_bbox: 0.8661, d2.loss_iou: 1.2511, d3.loss_cls: 2.2329, d3.loss_bbox: 0.8603, d3.loss_iou: 1.2456, d4.loss_cls: 2.2249, d4.loss_bbox: 0.8589, d4.loss_iou: 1.2422, loss: 26.2548, grad_norm: 15.6234 +2022-10-26 19:51:46,860 - mmdet - INFO - Epoch [4][1000/1849] lr: 2.000e-04, eta: 3:19:33, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2062, loss_bbox: 0.8550, loss_iou: 1.2396, d0.loss_cls: 2.3008, d0.loss_bbox: 0.8910, d0.loss_iou: 1.2739, d1.loss_cls: 2.2619, d1.loss_bbox: 0.8771, d1.loss_iou: 1.2638, d2.loss_cls: 2.2306, d2.loss_bbox: 0.8633, d2.loss_iou: 1.2498, d3.loss_cls: 2.2190, d3.loss_bbox: 0.8573, d3.loss_iou: 1.2430, d4.loss_cls: 2.2099, d4.loss_bbox: 0.8562, d4.loss_iou: 1.2409, loss: 26.1393, grad_norm: 15.9122 +2022-10-26 19:51:53,815 - mmdet - INFO - Epoch [4][1050/1849] lr: 2.000e-04, eta: 3:19:26, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.2207, loss_bbox: 0.8537, loss_iou: 1.2444, d0.loss_cls: 2.3200, d0.loss_bbox: 0.8904, d0.loss_iou: 1.2802, d1.loss_cls: 2.2778, d1.loss_bbox: 0.8750, d1.loss_iou: 1.2676, d2.loss_cls: 2.2522, d2.loss_bbox: 0.8630, d2.loss_iou: 1.2530, d3.loss_cls: 2.2349, d3.loss_bbox: 0.8568, d3.loss_iou: 1.2464, d4.loss_cls: 2.2232, d4.loss_bbox: 0.8550, d4.loss_iou: 1.2452, loss: 26.2597, grad_norm: 15.4095 +2022-10-26 19:52:00,574 - mmdet - INFO - Epoch [4][1100/1849] lr: 2.000e-04, eta: 3:19:16, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.2304, loss_bbox: 0.8579, loss_iou: 1.2434, d0.loss_cls: 2.3249, d0.loss_bbox: 0.8934, d0.loss_iou: 1.2764, d1.loss_cls: 2.2889, d1.loss_bbox: 0.8792, d1.loss_iou: 1.2657, d2.loss_cls: 2.2554, d2.loss_bbox: 0.8678, d2.loss_iou: 1.2534, d3.loss_cls: 2.2452, d3.loss_bbox: 0.8615, d3.loss_iou: 1.2473, d4.loss_cls: 2.2341, d4.loss_bbox: 0.8585, d4.loss_iou: 1.2450, loss: 26.3284, grad_norm: 17.3330 +2022-10-26 19:52:07,420 - mmdet - INFO - Epoch [4][1150/1849] lr: 2.000e-04, eta: 3:19:07, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.2063, loss_bbox: 0.8515, loss_iou: 1.2405, d0.loss_cls: 2.3080, d0.loss_bbox: 0.8876, d0.loss_iou: 1.2746, d1.loss_cls: 2.2675, d1.loss_bbox: 0.8730, d1.loss_iou: 1.2626, d2.loss_cls: 2.2337, d2.loss_bbox: 0.8613, d2.loss_iou: 1.2509, d3.loss_cls: 2.2213, d3.loss_bbox: 0.8549, d3.loss_iou: 1.2445, d4.loss_cls: 2.2121, d4.loss_bbox: 0.8534, d4.loss_iou: 1.2419, loss: 26.1457, grad_norm: 15.8205 +2022-10-26 19:52:14,306 - mmdet - INFO - Epoch [4][1200/1849] lr: 2.000e-04, eta: 3:19:00, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2052, loss_bbox: 0.8529, loss_iou: 1.2382, d0.loss_cls: 2.3051, d0.loss_bbox: 0.8919, d0.loss_iou: 1.2748, d1.loss_cls: 2.2648, d1.loss_bbox: 0.8751, d1.loss_iou: 1.2619, d2.loss_cls: 2.2321, d2.loss_bbox: 0.8619, d2.loss_iou: 1.2487, d3.loss_cls: 2.2187, d3.loss_bbox: 0.8568, d3.loss_iou: 1.2428, d4.loss_cls: 2.2125, d4.loss_bbox: 0.8543, d4.loss_iou: 1.2401, loss: 26.1379, grad_norm: 14.2989 +2022-10-26 19:52:21,201 - mmdet - INFO - Epoch [4][1250/1849] lr: 2.000e-04, eta: 3:18:52, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2104, loss_bbox: 0.8586, loss_iou: 1.2438, d0.loss_cls: 2.3039, d0.loss_bbox: 0.8949, d0.loss_iou: 1.2780, d1.loss_cls: 2.2678, d1.loss_bbox: 0.8792, d1.loss_iou: 1.2667, d2.loss_cls: 2.2356, d2.loss_bbox: 0.8671, d2.loss_iou: 1.2530, d3.loss_cls: 2.2259, d3.loss_bbox: 0.8612, d3.loss_iou: 1.2470, d4.loss_cls: 2.2160, d4.loss_bbox: 0.8594, d4.loss_iou: 1.2451, loss: 26.2137, grad_norm: 13.2664 +2022-10-26 19:52:28,155 - mmdet - INFO - Epoch [4][1300/1849] lr: 2.000e-04, eta: 3:18:45, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.2099, loss_bbox: 0.8527, loss_iou: 1.2389, d0.loss_cls: 2.3057, d0.loss_bbox: 0.8890, d0.loss_iou: 1.2734, d1.loss_cls: 2.2655, d1.loss_bbox: 0.8748, d1.loss_iou: 1.2605, d2.loss_cls: 2.2318, d2.loss_bbox: 0.8630, d2.loss_iou: 1.2480, d3.loss_cls: 2.2197, d3.loss_bbox: 0.8562, d3.loss_iou: 1.2412, d4.loss_cls: 2.2124, d4.loss_bbox: 0.8543, d4.loss_iou: 1.2397, loss: 26.1368, grad_norm: 14.3525 +2022-10-26 19:52:35,047 - mmdet - INFO - Epoch [4][1350/1849] lr: 2.000e-04, eta: 3:18:37, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2121, loss_bbox: 0.8521, loss_iou: 1.2371, d0.loss_cls: 2.3111, d0.loss_bbox: 0.8902, d0.loss_iou: 1.2720, d1.loss_cls: 2.2677, d1.loss_bbox: 0.8740, d1.loss_iou: 1.2598, d2.loss_cls: 2.2417, d2.loss_bbox: 0.8613, d2.loss_iou: 1.2468, d3.loss_cls: 2.2282, d3.loss_bbox: 0.8551, d3.loss_iou: 1.2413, d4.loss_cls: 2.2175, d4.loss_bbox: 0.8530, d4.loss_iou: 1.2379, loss: 26.1589, grad_norm: 14.7309 +2022-10-26 19:52:41,964 - mmdet - INFO - Epoch [4][1400/1849] lr: 2.000e-04, eta: 3:18:29, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.2054, loss_bbox: 0.8522, loss_iou: 1.2367, d0.loss_cls: 2.3003, d0.loss_bbox: 0.8865, d0.loss_iou: 1.2710, d1.loss_cls: 2.2590, d1.loss_bbox: 0.8716, d1.loss_iou: 1.2603, d2.loss_cls: 2.2297, d2.loss_bbox: 0.8594, d2.loss_iou: 1.2457, d3.loss_cls: 2.2175, d3.loss_bbox: 0.8540, d3.loss_iou: 1.2397, d4.loss_cls: 2.2094, d4.loss_bbox: 0.8526, d4.loss_iou: 1.2379, loss: 26.0889, grad_norm: 13.5725 +2022-10-26 19:52:48,701 - mmdet - INFO - Epoch [4][1450/1849] lr: 2.000e-04, eta: 3:18:19, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.2117, loss_bbox: 0.8556, loss_iou: 1.2414, d0.loss_cls: 2.3057, d0.loss_bbox: 0.8934, d0.loss_iou: 1.2767, d1.loss_cls: 2.2663, d1.loss_bbox: 0.8778, d1.loss_iou: 1.2643, d2.loss_cls: 2.2328, d2.loss_bbox: 0.8648, d2.loss_iou: 1.2516, d3.loss_cls: 2.2219, d3.loss_bbox: 0.8593, d3.loss_iou: 1.2458, d4.loss_cls: 2.2153, d4.loss_bbox: 0.8576, d4.loss_iou: 1.2434, loss: 26.1853, grad_norm: 14.6313 +2022-10-26 19:52:55,494 - mmdet - INFO - Epoch [4][1500/1849] lr: 2.000e-04, eta: 3:18:10, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.2114, loss_bbox: 0.8513, loss_iou: 1.2430, d0.loss_cls: 2.3092, d0.loss_bbox: 0.8885, d0.loss_iou: 1.2781, d1.loss_cls: 2.2641, d1.loss_bbox: 0.8715, d1.loss_iou: 1.2653, d2.loss_cls: 2.2355, d2.loss_bbox: 0.8602, d2.loss_iou: 1.2526, d3.loss_cls: 2.2244, d3.loss_bbox: 0.8542, d3.loss_iou: 1.2468, d4.loss_cls: 2.2173, d4.loss_bbox: 0.8515, d4.loss_iou: 1.2446, loss: 26.1696, grad_norm: 15.3992 +2022-10-26 19:53:02,305 - mmdet - INFO - Epoch [4][1550/1849] lr: 2.000e-04, eta: 3:18:02, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.2101, loss_bbox: 0.8550, loss_iou: 1.2366, d0.loss_cls: 2.3028, d0.loss_bbox: 0.8916, d0.loss_iou: 1.2732, d1.loss_cls: 2.2625, d1.loss_bbox: 0.8770, d1.loss_iou: 1.2598, d2.loss_cls: 2.2303, d2.loss_bbox: 0.8644, d2.loss_iou: 1.2467, d3.loss_cls: 2.2203, d3.loss_bbox: 0.8572, d3.loss_iou: 1.2392, d4.loss_cls: 2.2127, d4.loss_bbox: 0.8560, d4.loss_iou: 1.2376, loss: 26.1330, grad_norm: 13.7834 +2022-10-26 19:53:08,975 - mmdet - INFO - Epoch [4][1600/1849] lr: 2.000e-04, eta: 3:17:51, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.1867, loss_bbox: 0.8496, loss_iou: 1.2289, d0.loss_cls: 2.2844, d0.loss_bbox: 0.8863, d0.loss_iou: 1.2636, d1.loss_cls: 2.2442, d1.loss_bbox: 0.8721, d1.loss_iou: 1.2528, d2.loss_cls: 2.2141, d2.loss_bbox: 0.8594, d2.loss_iou: 1.2391, d3.loss_cls: 2.1993, d3.loss_bbox: 0.8529, d3.loss_iou: 1.2340, d4.loss_cls: 2.1926, d4.loss_bbox: 0.8515, d4.loss_iou: 1.2297, loss: 25.9410, grad_norm: 13.8664 +2022-10-26 19:53:15,619 - mmdet - INFO - Epoch [4][1650/1849] lr: 2.000e-04, eta: 3:17:40, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.1970, loss_bbox: 0.8485, loss_iou: 1.2362, d0.loss_cls: 2.2949, d0.loss_bbox: 0.8861, d0.loss_iou: 1.2713, d1.loss_cls: 2.2537, d1.loss_bbox: 0.8709, d1.loss_iou: 1.2584, d2.loss_cls: 2.2221, d2.loss_bbox: 0.8580, d2.loss_iou: 1.2449, d3.loss_cls: 2.2096, d3.loss_bbox: 0.8515, d3.loss_iou: 1.2391, d4.loss_cls: 2.2026, d4.loss_bbox: 0.8495, d4.loss_iou: 1.2378, loss: 26.0320, grad_norm: 15.9245 +2022-10-26 19:53:22,371 - mmdet - INFO - Epoch [4][1700/1849] lr: 2.000e-04, eta: 3:17:31, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.2076, loss_bbox: 0.8509, loss_iou: 1.2356, d0.loss_cls: 2.3062, d0.loss_bbox: 0.8887, d0.loss_iou: 1.2738, d1.loss_cls: 2.2657, d1.loss_bbox: 0.8749, d1.loss_iou: 1.2603, d2.loss_cls: 2.2319, d2.loss_bbox: 0.8610, d2.loss_iou: 1.2471, d3.loss_cls: 2.2208, d3.loss_bbox: 0.8546, d3.loss_iou: 1.2398, d4.loss_cls: 2.2118, d4.loss_bbox: 0.8520, d4.loss_iou: 1.2373, loss: 26.1200, grad_norm: 13.7641 +2022-10-26 19:53:29,344 - mmdet - INFO - Epoch [4][1750/1849] lr: 2.000e-04, eta: 3:17:24, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1784, loss_bbox: 0.8510, loss_iou: 1.2363, d0.loss_cls: 2.2726, d0.loss_bbox: 0.8870, d0.loss_iou: 1.2699, d1.loss_cls: 2.2369, d1.loss_bbox: 0.8730, d1.loss_iou: 1.2588, d2.loss_cls: 2.2094, d2.loss_bbox: 0.8590, d2.loss_iou: 1.2450, d3.loss_cls: 2.1949, d3.loss_bbox: 0.8528, d3.loss_iou: 1.2386, d4.loss_cls: 2.1829, d4.loss_bbox: 0.8510, d4.loss_iou: 1.2368, loss: 25.9341, grad_norm: 15.0648 +2022-10-26 19:53:36,207 - mmdet - INFO - Epoch [4][1800/1849] lr: 2.000e-04, eta: 3:17:16, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1945, loss_bbox: 0.8488, loss_iou: 1.2348, d0.loss_cls: 2.2859, d0.loss_bbox: 0.8885, d0.loss_iou: 1.2737, d1.loss_cls: 2.2517, d1.loss_bbox: 0.8719, d1.loss_iou: 1.2619, d2.loss_cls: 2.2221, d2.loss_bbox: 0.8585, d2.loss_iou: 1.2470, d3.loss_cls: 2.2092, d3.loss_bbox: 0.8521, d3.loss_iou: 1.2393, d4.loss_cls: 2.1995, d4.loss_bbox: 0.8498, d4.loss_iou: 1.2371, loss: 26.0264, grad_norm: 13.7075 +2022-10-26 19:53:43,107 - mmdet - INFO - Saving checkpoint at 4 epochs +2022-10-26 19:53:53,983 - mmdet - INFO - Epoch [5][50/1849] lr: 2.000e-04, eta: 3:16:22, time: 0.205, data_time: 0.063, memory: 4227, loss_cls: 2.1650, loss_bbox: 0.8456, loss_iou: 1.2359, d0.loss_cls: 2.2621, d0.loss_bbox: 0.8840, d0.loss_iou: 1.2717, d1.loss_cls: 2.2198, d1.loss_bbox: 0.8687, d1.loss_iou: 1.2586, d2.loss_cls: 2.1895, d2.loss_bbox: 0.8557, d2.loss_iou: 1.2463, d3.loss_cls: 2.1765, d3.loss_bbox: 0.8503, d3.loss_iou: 1.2397, d4.loss_cls: 2.1677, d4.loss_bbox: 0.8472, d4.loss_iou: 1.2368, loss: 25.8214, grad_norm: 13.6041 +2022-10-26 19:54:01,266 - mmdet - INFO - Epoch [5][100/1849] lr: 2.000e-04, eta: 3:16:20, time: 0.146, data_time: 0.004, memory: 4227, loss_cls: 2.1774, loss_bbox: 0.8446, loss_iou: 1.2326, d0.loss_cls: 2.2748, d0.loss_bbox: 0.8805, d0.loss_iou: 1.2684, d1.loss_cls: 2.2366, d1.loss_bbox: 0.8657, d1.loss_iou: 1.2560, d2.loss_cls: 2.2031, d2.loss_bbox: 0.8531, d2.loss_iou: 1.2418, d3.loss_cls: 2.1919, d3.loss_bbox: 0.8475, d3.loss_iou: 1.2357, d4.loss_cls: 2.1814, d4.loss_bbox: 0.8450, d4.loss_iou: 1.2336, loss: 25.8698, grad_norm: 15.4830 +2022-10-26 19:54:08,378 - mmdet - INFO - Epoch [5][150/1849] lr: 2.000e-04, eta: 3:16:15, time: 0.142, data_time: 0.004, memory: 4227, loss_cls: 2.1951, loss_bbox: 0.8458, loss_iou: 1.2318, d0.loss_cls: 2.2938, d0.loss_bbox: 0.8832, d0.loss_iou: 1.2717, d1.loss_cls: 2.2541, d1.loss_bbox: 0.8685, d1.loss_iou: 1.2564, d2.loss_cls: 2.2193, d2.loss_bbox: 0.8545, d2.loss_iou: 1.2425, d3.loss_cls: 2.2084, d3.loss_bbox: 0.8484, d3.loss_iou: 1.2350, d4.loss_cls: 2.1998, d4.loss_bbox: 0.8461, d4.loss_iou: 1.2330, loss: 25.9874, grad_norm: 15.5641 +2022-10-26 19:54:15,509 - mmdet - INFO - Epoch [5][200/1849] lr: 2.000e-04, eta: 3:16:10, time: 0.143, data_time: 0.004, memory: 4227, loss_cls: 2.1881, loss_bbox: 0.8473, loss_iou: 1.2307, d0.loss_cls: 2.2912, d0.loss_bbox: 0.8877, d0.loss_iou: 1.2684, d1.loss_cls: 2.2463, d1.loss_bbox: 0.8715, d1.loss_iou: 1.2545, d2.loss_cls: 2.2180, d2.loss_bbox: 0.8576, d2.loss_iou: 1.2404, d3.loss_cls: 2.2036, d3.loss_bbox: 0.8508, d3.loss_iou: 1.2342, d4.loss_cls: 2.1948, d4.loss_bbox: 0.8490, d4.loss_iou: 1.2320, loss: 25.9662, grad_norm: 14.9127 +2022-10-26 19:54:22,455 - mmdet - INFO - Epoch [5][250/1849] lr: 2.000e-04, eta: 3:16:03, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1774, loss_bbox: 0.8429, loss_iou: 1.2296, d0.loss_cls: 2.2787, d0.loss_bbox: 0.8837, d0.loss_iou: 1.2674, d1.loss_cls: 2.2361, d1.loss_bbox: 0.8661, d1.loss_iou: 1.2547, d2.loss_cls: 2.2070, d2.loss_bbox: 0.8526, d2.loss_iou: 1.2399, d3.loss_cls: 2.1961, d3.loss_bbox: 0.8475, d3.loss_iou: 1.2327, d4.loss_cls: 2.1840, d4.loss_bbox: 0.8439, d4.loss_iou: 1.2307, loss: 25.8710, grad_norm: 14.7479 +2022-10-26 19:54:29,353 - mmdet - INFO - Epoch [5][300/1849] lr: 2.000e-04, eta: 3:15:56, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.1832, loss_bbox: 0.8399, loss_iou: 1.2287, d0.loss_cls: 2.2813, d0.loss_bbox: 0.8794, d0.loss_iou: 1.2664, d1.loss_cls: 2.2383, d1.loss_bbox: 0.8635, d1.loss_iou: 1.2521, d2.loss_cls: 2.2096, d2.loss_bbox: 0.8504, d2.loss_iou: 1.2383, d3.loss_cls: 2.1968, d3.loss_bbox: 0.8443, d3.loss_iou: 1.2327, d4.loss_cls: 2.1860, d4.loss_bbox: 0.8418, d4.loss_iou: 1.2301, loss: 25.8627, grad_norm: 14.9955 +2022-10-26 19:54:36,124 - mmdet - INFO - Epoch [5][350/1849] lr: 2.000e-04, eta: 3:15:47, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.1800, loss_bbox: 0.8452, loss_iou: 1.2331, d0.loss_cls: 2.2769, d0.loss_bbox: 0.8840, d0.loss_iou: 1.2711, d1.loss_cls: 2.2407, d1.loss_bbox: 0.8674, d1.loss_iou: 1.2585, d2.loss_cls: 2.2091, d2.loss_bbox: 0.8554, d2.loss_iou: 1.2431, d3.loss_cls: 2.1950, d3.loss_bbox: 0.8488, d3.loss_iou: 1.2365, d4.loss_cls: 2.1842, d4.loss_bbox: 0.8462, d4.loss_iou: 1.2348, loss: 25.9100, grad_norm: 15.5289 +2022-10-26 19:54:43,080 - mmdet - INFO - Epoch [5][400/1849] lr: 2.000e-04, eta: 3:15:40, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1678, loss_bbox: 0.8446, loss_iou: 1.2270, d0.loss_cls: 2.2617, d0.loss_bbox: 0.8837, d0.loss_iou: 1.2656, d1.loss_cls: 2.2278, d1.loss_bbox: 0.8679, d1.loss_iou: 1.2521, d2.loss_cls: 2.1959, d2.loss_bbox: 0.8543, d2.loss_iou: 1.2374, d3.loss_cls: 2.1828, d3.loss_bbox: 0.8482, d3.loss_iou: 1.2308, d4.loss_cls: 2.1719, d4.loss_bbox: 0.8458, d4.loss_iou: 1.2290, loss: 25.7941, grad_norm: 14.5904 +2022-10-26 19:54:50,100 - mmdet - INFO - Epoch [5][450/1849] lr: 2.000e-04, eta: 3:15:34, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.1716, loss_bbox: 0.8415, loss_iou: 1.2259, d0.loss_cls: 2.2630, d0.loss_bbox: 0.8805, d0.loss_iou: 1.2664, d1.loss_cls: 2.2301, d1.loss_bbox: 0.8626, d1.loss_iou: 1.2501, d2.loss_cls: 2.1955, d2.loss_bbox: 0.8511, d2.loss_iou: 1.2364, d3.loss_cls: 2.1841, d3.loss_bbox: 0.8448, d3.loss_iou: 1.2301, d4.loss_cls: 2.1757, d4.loss_bbox: 0.8426, d4.loss_iou: 1.2276, loss: 25.7796, grad_norm: 14.0684 +2022-10-26 19:54:56,860 - mmdet - INFO - Epoch [5][500/1849] lr: 2.000e-04, eta: 3:15:26, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.1857, loss_bbox: 0.8443, loss_iou: 1.2291, d0.loss_cls: 2.2809, d0.loss_bbox: 0.8840, d0.loss_iou: 1.2667, d1.loss_cls: 2.2430, d1.loss_bbox: 0.8681, d1.loss_iou: 1.2541, d2.loss_cls: 2.2125, d2.loss_bbox: 0.8548, d2.loss_iou: 1.2393, d3.loss_cls: 2.2031, d3.loss_bbox: 0.8479, d3.loss_iou: 1.2342, d4.loss_cls: 2.1905, d4.loss_bbox: 0.8451, d4.loss_iou: 1.2309, loss: 25.9141, grad_norm: 16.4777 +2022-10-26 19:55:03,597 - mmdet - INFO - Epoch [5][550/1849] lr: 2.000e-04, eta: 3:15:16, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.1675, loss_bbox: 0.8427, loss_iou: 1.2301, d0.loss_cls: 2.2658, d0.loss_bbox: 0.8804, d0.loss_iou: 1.2675, d1.loss_cls: 2.2268, d1.loss_bbox: 0.8641, d1.loss_iou: 1.2543, d2.loss_cls: 2.1952, d2.loss_bbox: 0.8514, d2.loss_iou: 1.2403, d3.loss_cls: 2.1819, d3.loss_bbox: 0.8447, d3.loss_iou: 1.2333, d4.loss_cls: 2.1710, d4.loss_bbox: 0.8434, d4.loss_iou: 1.2318, loss: 25.7923, grad_norm: 13.2374 +2022-10-26 19:55:10,494 - mmdet - INFO - Epoch [5][600/1849] lr: 2.000e-04, eta: 3:15:09, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.1612, loss_bbox: 0.8400, loss_iou: 1.2245, d0.loss_cls: 2.2577, d0.loss_bbox: 0.8780, d0.loss_iou: 1.2628, d1.loss_cls: 2.2214, d1.loss_bbox: 0.8628, d1.loss_iou: 1.2503, d2.loss_cls: 2.1879, d2.loss_bbox: 0.8510, d2.loss_iou: 1.2361, d3.loss_cls: 2.1726, d3.loss_bbox: 0.8444, d3.loss_iou: 1.2288, d4.loss_cls: 2.1640, d4.loss_bbox: 0.8409, d4.loss_iou: 1.2268, loss: 25.7110, grad_norm: 14.4174 +2022-10-26 19:55:17,486 - mmdet - INFO - Epoch [5][650/1849] lr: 2.000e-04, eta: 3:15:03, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.1910, loss_bbox: 0.8377, loss_iou: 1.2299, d0.loss_cls: 2.2838, d0.loss_bbox: 0.8756, d0.loss_iou: 1.2661, d1.loss_cls: 2.2467, d1.loss_bbox: 0.8604, d1.loss_iou: 1.2544, d2.loss_cls: 2.2152, d2.loss_bbox: 0.8469, d2.loss_iou: 1.2407, d3.loss_cls: 2.2036, d3.loss_bbox: 0.8408, d3.loss_iou: 1.2338, d4.loss_cls: 2.1953, d4.loss_bbox: 0.8390, d4.loss_iou: 1.2313, loss: 25.8921, grad_norm: 15.0745 +2022-10-26 19:55:24,175 - mmdet - INFO - Epoch [5][700/1849] lr: 2.000e-04, eta: 3:14:53, time: 0.134, data_time: 0.005, memory: 4227, loss_cls: 2.1773, loss_bbox: 0.8435, loss_iou: 1.2290, d0.loss_cls: 2.2760, d0.loss_bbox: 0.8829, d0.loss_iou: 1.2672, d1.loss_cls: 2.2353, d1.loss_bbox: 0.8676, d1.loss_iou: 1.2550, d2.loss_cls: 2.2046, d2.loss_bbox: 0.8531, d2.loss_iou: 1.2399, d3.loss_cls: 2.1913, d3.loss_bbox: 0.8471, d3.loss_iou: 1.2327, d4.loss_cls: 2.1816, d4.loss_bbox: 0.8447, d4.loss_iou: 1.2302, loss: 25.8590, grad_norm: 16.5444 +2022-10-26 19:55:30,978 - mmdet - INFO - Epoch [5][750/1849] lr: 2.000e-04, eta: 3:14:45, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1660, loss_bbox: 0.8403, loss_iou: 1.2269, d0.loss_cls: 2.2673, d0.loss_bbox: 0.8797, d0.loss_iou: 1.2658, d1.loss_cls: 2.2258, d1.loss_bbox: 0.8645, d1.loss_iou: 1.2523, d2.loss_cls: 2.1943, d2.loss_bbox: 0.8518, d2.loss_iou: 1.2382, d3.loss_cls: 2.1816, d3.loss_bbox: 0.8443, d3.loss_iou: 1.2310, d4.loss_cls: 2.1702, d4.loss_bbox: 0.8415, d4.loss_iou: 1.2283, loss: 25.7697, grad_norm: 13.3615 +2022-10-26 19:55:37,691 - mmdet - INFO - Epoch [5][800/1849] lr: 2.000e-04, eta: 3:14:36, time: 0.134, data_time: 0.005, memory: 4227, loss_cls: 2.1749, loss_bbox: 0.8407, loss_iou: 1.2314, d0.loss_cls: 2.2724, d0.loss_bbox: 0.8786, d0.loss_iou: 1.2683, d1.loss_cls: 2.2270, d1.loss_bbox: 0.8637, d1.loss_iou: 1.2568, d2.loss_cls: 2.1980, d2.loss_bbox: 0.8510, d2.loss_iou: 1.2429, d3.loss_cls: 2.1869, d3.loss_bbox: 0.8447, d3.loss_iou: 1.2358, d4.loss_cls: 2.1788, d4.loss_bbox: 0.8418, d4.loss_iou: 1.2331, loss: 25.8267, grad_norm: 13.8603 +2022-10-26 19:55:44,345 - mmdet - INFO - Epoch [5][850/1849] lr: 2.000e-04, eta: 3:14:26, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.1699, loss_bbox: 0.8436, loss_iou: 1.2236, d0.loss_cls: 2.2651, d0.loss_bbox: 0.8843, d0.loss_iou: 1.2595, d1.loss_cls: 2.2292, d1.loss_bbox: 0.8681, d1.loss_iou: 1.2492, d2.loss_cls: 2.1991, d2.loss_bbox: 0.8548, d2.loss_iou: 1.2350, d3.loss_cls: 2.1848, d3.loss_bbox: 0.8477, d3.loss_iou: 1.2279, d4.loss_cls: 2.1764, d4.loss_bbox: 0.8450, d4.loss_iou: 1.2253, loss: 25.7884, grad_norm: 13.8066 +2022-10-26 19:55:51,117 - mmdet - INFO - Epoch [5][900/1849] lr: 2.000e-04, eta: 3:14:18, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.1728, loss_bbox: 0.8394, loss_iou: 1.2229, d0.loss_cls: 2.2697, d0.loss_bbox: 0.8787, d0.loss_iou: 1.2625, d1.loss_cls: 2.2260, d1.loss_bbox: 0.8627, d1.loss_iou: 1.2488, d2.loss_cls: 2.1991, d2.loss_bbox: 0.8499, d2.loss_iou: 1.2346, d3.loss_cls: 2.1892, d3.loss_bbox: 0.8426, d3.loss_iou: 1.2266, d4.loss_cls: 2.1778, d4.loss_bbox: 0.8411, d4.loss_iou: 1.2247, loss: 25.7690, grad_norm: 15.4045 +2022-10-26 19:55:57,923 - mmdet - INFO - Epoch [5][950/1849] lr: 2.000e-04, eta: 3:14:09, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1660, loss_bbox: 0.8424, loss_iou: 1.2250, d0.loss_cls: 2.2625, d0.loss_bbox: 0.8816, d0.loss_iou: 1.2626, d1.loss_cls: 2.2275, d1.loss_bbox: 0.8661, d1.loss_iou: 1.2495, d2.loss_cls: 2.1949, d2.loss_bbox: 0.8535, d2.loss_iou: 1.2353, d3.loss_cls: 2.1815, d3.loss_bbox: 0.8465, d3.loss_iou: 1.2296, d4.loss_cls: 2.1691, d4.loss_bbox: 0.8447, d4.loss_iou: 1.2269, loss: 25.7652, grad_norm: 13.9070 +2022-10-26 19:56:04,948 - mmdet - INFO - Epoch [5][1000/1849] lr: 2.000e-04, eta: 3:14:04, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.1764, loss_bbox: 0.8395, loss_iou: 1.2249, d0.loss_cls: 2.2692, d0.loss_bbox: 0.8781, d0.loss_iou: 1.2620, d1.loss_cls: 2.2299, d1.loss_bbox: 0.8627, d1.loss_iou: 1.2505, d2.loss_cls: 2.2013, d2.loss_bbox: 0.8497, d2.loss_iou: 1.2353, d3.loss_cls: 2.1891, d3.loss_bbox: 0.8428, d3.loss_iou: 1.2286, d4.loss_cls: 2.1787, d4.loss_bbox: 0.8413, d4.loss_iou: 1.2262, loss: 25.7862, grad_norm: 15.7348 +2022-10-26 19:56:12,098 - mmdet - INFO - Epoch [5][1050/1849] lr: 2.000e-04, eta: 3:13:59, time: 0.143, data_time: 0.004, memory: 4227, loss_cls: 2.1539, loss_bbox: 0.8354, loss_iou: 1.2225, d0.loss_cls: 2.2465, d0.loss_bbox: 0.8744, d0.loss_iou: 1.2618, d1.loss_cls: 2.2092, d1.loss_bbox: 0.8588, d1.loss_iou: 1.2495, d2.loss_cls: 2.1792, d2.loss_bbox: 0.8450, d2.loss_iou: 1.2343, d3.loss_cls: 2.1656, d3.loss_bbox: 0.8381, d3.loss_iou: 1.2269, d4.loss_cls: 2.1579, d4.loss_bbox: 0.8356, d4.loss_iou: 1.2240, loss: 25.6185, grad_norm: 14.0551 +2022-10-26 19:56:19,209 - mmdet - INFO - Epoch [5][1100/1849] lr: 2.000e-04, eta: 3:13:54, time: 0.142, data_time: 0.004, memory: 4227, loss_cls: 2.1481, loss_bbox: 0.8404, loss_iou: 1.2221, d0.loss_cls: 2.2473, d0.loss_bbox: 0.8777, d0.loss_iou: 1.2619, d1.loss_cls: 2.2072, d1.loss_bbox: 0.8629, d1.loss_iou: 1.2488, d2.loss_cls: 2.1768, d2.loss_bbox: 0.8502, d2.loss_iou: 1.2346, d3.loss_cls: 2.1645, d3.loss_bbox: 0.8438, d3.loss_iou: 1.2272, d4.loss_cls: 2.1541, d4.loss_bbox: 0.8407, d4.loss_iou: 1.2243, loss: 25.6325, grad_norm: 14.5909 +2022-10-26 19:56:25,919 - mmdet - INFO - Epoch [5][1150/1849] lr: 2.000e-04, eta: 3:13:45, time: 0.134, data_time: 0.005, memory: 4227, loss_cls: 2.1547, loss_bbox: 0.8402, loss_iou: 1.2235, d0.loss_cls: 2.2541, d0.loss_bbox: 0.8804, d0.loss_iou: 1.2620, d1.loss_cls: 2.2155, d1.loss_bbox: 0.8639, d1.loss_iou: 1.2488, d2.loss_cls: 2.1847, d2.loss_bbox: 0.8515, d2.loss_iou: 1.2339, d3.loss_cls: 2.1724, d3.loss_bbox: 0.8444, d3.loss_iou: 1.2276, d4.loss_cls: 2.1639, d4.loss_bbox: 0.8418, d4.loss_iou: 1.2247, loss: 25.6878, grad_norm: 14.7467 +2022-10-26 19:56:32,731 - mmdet - INFO - Epoch [5][1200/1849] lr: 2.000e-04, eta: 3:13:37, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1575, loss_bbox: 0.8350, loss_iou: 1.2209, d0.loss_cls: 2.2516, d0.loss_bbox: 0.8737, d0.loss_iou: 1.2593, d1.loss_cls: 2.2142, d1.loss_bbox: 0.8580, d1.loss_iou: 1.2460, d2.loss_cls: 2.1817, d2.loss_bbox: 0.8451, d2.loss_iou: 1.2324, d3.loss_cls: 2.1707, d3.loss_bbox: 0.8382, d3.loss_iou: 1.2257, d4.loss_cls: 2.1626, d4.loss_bbox: 0.8363, d4.loss_iou: 1.2230, loss: 25.6319, grad_norm: 14.4001 +2022-10-26 19:56:39,511 - mmdet - INFO - Epoch [5][1250/1849] lr: 2.000e-04, eta: 3:13:28, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1664, loss_bbox: 0.8431, loss_iou: 1.2244, d0.loss_cls: 2.2641, d0.loss_bbox: 0.8818, d0.loss_iou: 1.2614, d1.loss_cls: 2.2222, d1.loss_bbox: 0.8654, d1.loss_iou: 1.2497, d2.loss_cls: 2.1936, d2.loss_bbox: 0.8528, d2.loss_iou: 1.2347, d3.loss_cls: 2.1806, d3.loss_bbox: 0.8470, d3.loss_iou: 1.2281, d4.loss_cls: 2.1711, d4.loss_bbox: 0.8447, d4.loss_iou: 1.2253, loss: 25.7562, grad_norm: 14.5303 +2022-10-26 19:56:46,539 - mmdet - INFO - Epoch [5][1300/1849] lr: 2.000e-04, eta: 3:13:22, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.1606, loss_bbox: 0.8375, loss_iou: 1.2184, d0.loss_cls: 2.2529, d0.loss_bbox: 0.8752, d0.loss_iou: 1.2571, d1.loss_cls: 2.2218, d1.loss_bbox: 0.8600, d1.loss_iou: 1.2439, d2.loss_cls: 2.1895, d2.loss_bbox: 0.8471, d2.loss_iou: 1.2302, d3.loss_cls: 2.1726, d3.loss_bbox: 0.8410, d3.loss_iou: 1.2237, d4.loss_cls: 2.1651, d4.loss_bbox: 0.8388, d4.loss_iou: 1.2210, loss: 25.6563, grad_norm: 16.2485 +2022-10-26 19:56:53,461 - mmdet - INFO - Epoch [5][1350/1849] lr: 2.000e-04, eta: 3:13:15, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1569, loss_bbox: 0.8343, loss_iou: 1.2123, d0.loss_cls: 2.2530, d0.loss_bbox: 0.8748, d0.loss_iou: 1.2510, d1.loss_cls: 2.2127, d1.loss_bbox: 0.8587, d1.loss_iou: 1.2384, d2.loss_cls: 2.1817, d2.loss_bbox: 0.8449, d2.loss_iou: 1.2242, d3.loss_cls: 2.1696, d3.loss_bbox: 0.8374, d3.loss_iou: 1.2156, d4.loss_cls: 2.1590, d4.loss_bbox: 0.8351, d4.loss_iou: 1.2127, loss: 25.5725, grad_norm: 15.0937 +2022-10-26 19:57:00,143 - mmdet - INFO - Epoch [5][1400/1849] lr: 2.000e-04, eta: 3:13:06, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.1763, loss_bbox: 0.8320, loss_iou: 1.2198, d0.loss_cls: 2.2729, d0.loss_bbox: 0.8740, d0.loss_iou: 1.2601, d1.loss_cls: 2.2324, d1.loss_bbox: 0.8554, d1.loss_iou: 1.2457, d2.loss_cls: 2.2028, d2.loss_bbox: 0.8416, d2.loss_iou: 1.2312, d3.loss_cls: 2.1879, d3.loss_bbox: 0.8354, d3.loss_iou: 1.2237, d4.loss_cls: 2.1801, d4.loss_bbox: 0.8324, d4.loss_iou: 1.2210, loss: 25.7247, grad_norm: 13.3724 +2022-10-26 19:57:07,154 - mmdet - INFO - Epoch [5][1450/1849] lr: 2.000e-04, eta: 3:13:00, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.1709, loss_bbox: 0.8358, loss_iou: 1.2166, d0.loss_cls: 2.2657, d0.loss_bbox: 0.8740, d0.loss_iou: 1.2553, d1.loss_cls: 2.2280, d1.loss_bbox: 0.8596, d1.loss_iou: 1.2453, d2.loss_cls: 2.1965, d2.loss_bbox: 0.8468, d2.loss_iou: 1.2300, d3.loss_cls: 2.1826, d3.loss_bbox: 0.8399, d3.loss_iou: 1.2220, d4.loss_cls: 2.1752, d4.loss_bbox: 0.8367, d4.loss_iou: 1.2194, loss: 25.7004, grad_norm: 13.3199 +2022-10-26 19:57:14,016 - mmdet - INFO - Epoch [5][1500/1849] lr: 2.000e-04, eta: 3:12:52, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1564, loss_bbox: 0.8340, loss_iou: 1.2190, d0.loss_cls: 2.2497, d0.loss_bbox: 0.8708, d0.loss_iou: 1.2587, d1.loss_cls: 2.2122, d1.loss_bbox: 0.8571, d1.loss_iou: 1.2459, d2.loss_cls: 2.1828, d2.loss_bbox: 0.8439, d2.loss_iou: 1.2303, d3.loss_cls: 2.1712, d3.loss_bbox: 0.8374, d3.loss_iou: 1.2243, d4.loss_cls: 2.1606, d4.loss_bbox: 0.8347, d4.loss_iou: 1.2208, loss: 25.6098, grad_norm: 14.1503 +2022-10-26 19:57:20,818 - mmdet - INFO - Epoch [5][1550/1849] lr: 2.000e-04, eta: 3:12:44, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1705, loss_bbox: 0.8378, loss_iou: 1.2244, d0.loss_cls: 2.2647, d0.loss_bbox: 0.8773, d0.loss_iou: 1.2627, d1.loss_cls: 2.2255, d1.loss_bbox: 0.8607, d1.loss_iou: 1.2510, d2.loss_cls: 2.1973, d2.loss_bbox: 0.8468, d2.loss_iou: 1.2358, d3.loss_cls: 2.1854, d3.loss_bbox: 0.8411, d3.loss_iou: 1.2288, d4.loss_cls: 2.1757, d4.loss_bbox: 0.8389, d4.loss_iou: 1.2251, loss: 25.7494, grad_norm: 14.8644 +2022-10-26 19:57:27,645 - mmdet - INFO - Epoch [5][1600/1849] lr: 2.000e-04, eta: 3:12:37, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1627, loss_bbox: 0.8332, loss_iou: 1.2159, d0.loss_cls: 2.2608, d0.loss_bbox: 0.8733, d0.loss_iou: 1.2549, d1.loss_cls: 2.2257, d1.loss_bbox: 0.8586, d1.loss_iou: 1.2422, d2.loss_cls: 2.1962, d2.loss_bbox: 0.8434, d2.loss_iou: 1.2270, d3.loss_cls: 2.1808, d3.loss_bbox: 0.8369, d3.loss_iou: 1.2211, d4.loss_cls: 2.1692, d4.loss_bbox: 0.8338, d4.loss_iou: 1.2178, loss: 25.6535, grad_norm: 15.3198 +2022-10-26 19:57:34,641 - mmdet - INFO - Epoch [5][1650/1849] lr: 2.000e-04, eta: 3:12:30, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.1605, loss_bbox: 0.8352, loss_iou: 1.2178, d0.loss_cls: 2.2551, d0.loss_bbox: 0.8754, d0.loss_iou: 1.2557, d1.loss_cls: 2.2156, d1.loss_bbox: 0.8589, d1.loss_iou: 1.2437, d2.loss_cls: 2.1881, d2.loss_bbox: 0.8463, d2.loss_iou: 1.2295, d3.loss_cls: 2.1739, d3.loss_bbox: 0.8400, d3.loss_iou: 1.2217, d4.loss_cls: 2.1643, d4.loss_bbox: 0.8372, d4.loss_iou: 1.2190, loss: 25.6380, grad_norm: 14.6990 +2022-10-26 19:57:41,624 - mmdet - INFO - Epoch [5][1700/1849] lr: 2.000e-04, eta: 3:12:24, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.1572, loss_bbox: 0.8394, loss_iou: 1.2237, d0.loss_cls: 2.2506, d0.loss_bbox: 0.8767, d0.loss_iou: 1.2609, d1.loss_cls: 2.2096, d1.loss_bbox: 0.8622, d1.loss_iou: 1.2491, d2.loss_cls: 2.1825, d2.loss_bbox: 0.8483, d2.loss_iou: 1.2337, d3.loss_cls: 2.1716, d3.loss_bbox: 0.8424, d3.loss_iou: 1.2274, d4.loss_cls: 2.1633, d4.loss_bbox: 0.8399, d4.loss_iou: 1.2249, loss: 25.6635, grad_norm: 14.9876 +2022-10-26 19:57:48,591 - mmdet - INFO - Epoch [5][1750/1849] lr: 2.000e-04, eta: 3:12:17, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1650, loss_bbox: 0.8316, loss_iou: 1.2151, d0.loss_cls: 2.2601, d0.loss_bbox: 0.8721, d0.loss_iou: 1.2559, d1.loss_cls: 2.2212, d1.loss_bbox: 0.8564, d1.loss_iou: 1.2422, d2.loss_cls: 2.1915, d2.loss_bbox: 0.8428, d2.loss_iou: 1.2271, d3.loss_cls: 2.1768, d3.loss_bbox: 0.8359, d3.loss_iou: 1.2203, d4.loss_cls: 2.1687, d4.loss_bbox: 0.8327, d4.loss_iou: 1.2166, loss: 25.6319, grad_norm: 15.4238 +2022-10-26 19:57:55,291 - mmdet - INFO - Epoch [5][1800/1849] lr: 2.000e-04, eta: 3:12:08, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.1477, loss_bbox: 0.8340, loss_iou: 1.2215, d0.loss_cls: 2.2428, d0.loss_bbox: 0.8746, d0.loss_iou: 1.2610, d1.loss_cls: 2.2031, d1.loss_bbox: 0.8579, d1.loss_iou: 1.2479, d2.loss_cls: 2.1745, d2.loss_bbox: 0.8447, d2.loss_iou: 1.2334, d3.loss_cls: 2.1629, d3.loss_bbox: 0.8386, d3.loss_iou: 1.2262, d4.loss_cls: 2.1504, d4.loss_bbox: 0.8348, d4.loss_iou: 1.2236, loss: 25.5798, grad_norm: 14.9876 +2022-10-26 19:58:02,145 - mmdet - INFO - Saving checkpoint at 5 epochs +2022-10-26 19:58:12,890 - mmdet - INFO - Epoch [6][50/1849] lr: 2.000e-04, eta: 3:11:22, time: 0.202, data_time: 0.063, memory: 4227, loss_cls: 2.1497, loss_bbox: 0.8329, loss_iou: 1.2133, d0.loss_cls: 2.2465, d0.loss_bbox: 0.8721, d0.loss_iou: 1.2518, d1.loss_cls: 2.2069, d1.loss_bbox: 0.8576, d1.loss_iou: 1.2390, d2.loss_cls: 2.1751, d2.loss_bbox: 0.8424, d2.loss_iou: 1.2238, d3.loss_cls: 2.1649, d3.loss_bbox: 0.8364, d3.loss_iou: 1.2176, d4.loss_cls: 2.1553, d4.loss_bbox: 0.8340, d4.loss_iou: 1.2145, loss: 25.5341, grad_norm: 15.2222 +2022-10-26 19:58:20,260 - mmdet - INFO - Epoch [6][100/1849] lr: 2.000e-04, eta: 3:11:20, time: 0.147, data_time: 0.005, memory: 4227, loss_cls: 2.1425, loss_bbox: 0.8303, loss_iou: 1.2165, d0.loss_cls: 2.2396, d0.loss_bbox: 0.8706, d0.loss_iou: 1.2562, d1.loss_cls: 2.2009, d1.loss_bbox: 0.8544, d1.loss_iou: 1.2420, d2.loss_cls: 2.1713, d2.loss_bbox: 0.8408, d2.loss_iou: 1.2281, d3.loss_cls: 2.1572, d3.loss_bbox: 0.8338, d3.loss_iou: 1.2207, d4.loss_cls: 2.1480, d4.loss_bbox: 0.8308, d4.loss_iou: 1.2181, loss: 25.5016, grad_norm: 13.5893 +2022-10-26 19:58:27,428 - mmdet - INFO - Epoch [6][150/1849] lr: 2.000e-04, eta: 3:11:15, time: 0.143, data_time: 0.005, memory: 4227, loss_cls: 2.1569, loss_bbox: 0.8353, loss_iou: 1.2184, d0.loss_cls: 2.2551, d0.loss_bbox: 0.8754, d0.loss_iou: 1.2597, d1.loss_cls: 2.2125, d1.loss_bbox: 0.8602, d1.loss_iou: 1.2451, d2.loss_cls: 2.1828, d2.loss_bbox: 0.8465, d2.loss_iou: 1.2300, d3.loss_cls: 2.1729, d3.loss_bbox: 0.8390, d3.loss_iou: 1.2232, d4.loss_cls: 2.1613, d4.loss_bbox: 0.8363, d4.loss_iou: 1.2200, loss: 25.6306, grad_norm: 14.0031 +2022-10-26 19:58:34,455 - mmdet - INFO - Epoch [6][200/1849] lr: 2.000e-04, eta: 3:11:09, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.1519, loss_bbox: 0.8389, loss_iou: 1.2178, d0.loss_cls: 2.2442, d0.loss_bbox: 0.8768, d0.loss_iou: 1.2566, d1.loss_cls: 2.2070, d1.loss_bbox: 0.8610, d1.loss_iou: 1.2432, d2.loss_cls: 2.1797, d2.loss_bbox: 0.8482, d2.loss_iou: 1.2281, d3.loss_cls: 2.1652, d3.loss_bbox: 0.8419, d3.loss_iou: 1.2222, d4.loss_cls: 2.1540, d4.loss_bbox: 0.8394, d4.loss_iou: 1.2194, loss: 25.5955, grad_norm: 14.7757 +2022-10-26 19:58:41,413 - mmdet - INFO - Epoch [6][250/1849] lr: 2.000e-04, eta: 3:11:03, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.1511, loss_bbox: 0.8324, loss_iou: 1.2174, d0.loss_cls: 2.2514, d0.loss_bbox: 0.8738, d0.loss_iou: 1.2572, d1.loss_cls: 2.2088, d1.loss_bbox: 0.8560, d1.loss_iou: 1.2446, d2.loss_cls: 2.1798, d2.loss_bbox: 0.8436, d2.loss_iou: 1.2286, d3.loss_cls: 2.1689, d3.loss_bbox: 0.8371, d3.loss_iou: 1.2220, d4.loss_cls: 2.1561, d4.loss_bbox: 0.8340, d4.loss_iou: 1.2193, loss: 25.5822, grad_norm: 14.2288 +2022-10-26 19:58:48,555 - mmdet - INFO - Epoch [6][300/1849] lr: 2.000e-04, eta: 3:10:58, time: 0.143, data_time: 0.005, memory: 4227, loss_cls: 2.1308, loss_bbox: 0.8248, loss_iou: 1.2094, d0.loss_cls: 2.2287, d0.loss_bbox: 0.8653, d0.loss_iou: 1.2508, d1.loss_cls: 2.1916, d1.loss_bbox: 0.8487, d1.loss_iou: 1.2371, d2.loss_cls: 2.1595, d2.loss_bbox: 0.8356, d2.loss_iou: 1.2220, d3.loss_cls: 2.1463, d3.loss_bbox: 0.8284, d3.loss_iou: 1.2159, d4.loss_cls: 2.1368, d4.loss_bbox: 0.8261, d4.loss_iou: 1.2113, loss: 25.3691, grad_norm: 14.8054 +2022-10-26 19:58:55,600 - mmdet - INFO - Epoch [6][350/1849] lr: 2.000e-04, eta: 3:10:52, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.1375, loss_bbox: 0.8319, loss_iou: 1.2151, d0.loss_cls: 2.2351, d0.loss_bbox: 0.8725, d0.loss_iou: 1.2544, d1.loss_cls: 2.1990, d1.loss_bbox: 0.8564, d1.loss_iou: 1.2424, d2.loss_cls: 2.1680, d2.loss_bbox: 0.8416, d2.loss_iou: 1.2262, d3.loss_cls: 2.1548, d3.loss_bbox: 0.8358, d3.loss_iou: 1.2187, d4.loss_cls: 2.1431, d4.loss_bbox: 0.8334, d4.loss_iou: 1.2167, loss: 25.4826, grad_norm: 15.5806 +2022-10-26 19:59:02,575 - mmdet - INFO - Epoch [6][400/1849] lr: 2.000e-04, eta: 3:10:46, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.1414, loss_bbox: 0.8320, loss_iou: 1.2128, d0.loss_cls: 2.2408, d0.loss_bbox: 0.8723, d0.loss_iou: 1.2535, d1.loss_cls: 2.2039, d1.loss_bbox: 0.8564, d1.loss_iou: 1.2416, d2.loss_cls: 2.1717, d2.loss_bbox: 0.8428, d2.loss_iou: 1.2251, d3.loss_cls: 2.1581, d3.loss_bbox: 0.8356, d3.loss_iou: 1.2178, d4.loss_cls: 2.1455, d4.loss_bbox: 0.8338, d4.loss_iou: 1.2146, loss: 25.4997, grad_norm: 14.4849 +2022-10-26 19:59:09,625 - mmdet - INFO - Epoch [6][450/1849] lr: 2.000e-04, eta: 3:10:40, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.1252, loss_bbox: 0.8302, loss_iou: 1.2140, d0.loss_cls: 2.2214, d0.loss_bbox: 0.8707, d0.loss_iou: 1.2560, d1.loss_cls: 2.1853, d1.loss_bbox: 0.8543, d1.loss_iou: 1.2417, d2.loss_cls: 2.1557, d2.loss_bbox: 0.8413, d2.loss_iou: 1.2264, d3.loss_cls: 2.1414, d3.loss_bbox: 0.8342, d3.loss_iou: 1.2184, d4.loss_cls: 2.1289, d4.loss_bbox: 0.8315, d4.loss_iou: 1.2155, loss: 25.3920, grad_norm: 14.1827 +2022-10-26 19:59:16,465 - mmdet - INFO - Epoch [6][500/1849] lr: 2.000e-04, eta: 3:10:32, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.1330, loss_bbox: 0.8292, loss_iou: 1.2148, d0.loss_cls: 2.2318, d0.loss_bbox: 0.8711, d0.loss_iou: 1.2572, d1.loss_cls: 2.1915, d1.loss_bbox: 0.8545, d1.loss_iou: 1.2427, d2.loss_cls: 2.1614, d2.loss_bbox: 0.8403, d2.loss_iou: 1.2274, d3.loss_cls: 2.1494, d3.loss_bbox: 0.8342, d3.loss_iou: 1.2197, d4.loss_cls: 2.1360, d4.loss_bbox: 0.8307, d4.loss_iou: 1.2181, loss: 25.4431, grad_norm: 15.2732 +2022-10-26 19:59:23,399 - mmdet - INFO - Epoch [6][550/1849] lr: 2.000e-04, eta: 3:10:26, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.1422, loss_bbox: 0.8314, loss_iou: 1.2146, d0.loss_cls: 2.2413, d0.loss_bbox: 0.8731, d0.loss_iou: 1.2542, d1.loss_cls: 2.2019, d1.loss_bbox: 0.8560, d1.loss_iou: 1.2411, d2.loss_cls: 2.1705, d2.loss_bbox: 0.8421, d2.loss_iou: 1.2258, d3.loss_cls: 2.1584, d3.loss_bbox: 0.8364, d3.loss_iou: 1.2184, d4.loss_cls: 2.1492, d4.loss_bbox: 0.8333, d4.loss_iou: 1.2160, loss: 25.5059, grad_norm: 14.7272 +2022-10-26 19:59:30,288 - mmdet - INFO - Epoch [6][600/1849] lr: 2.000e-04, eta: 3:10:19, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.1295, loss_bbox: 0.8321, loss_iou: 1.2130, d0.loss_cls: 2.2258, d0.loss_bbox: 0.8723, d0.loss_iou: 1.2551, d1.loss_cls: 2.1876, d1.loss_bbox: 0.8564, d1.loss_iou: 1.2399, d2.loss_cls: 2.1564, d2.loss_bbox: 0.8415, d2.loss_iou: 1.2257, d3.loss_cls: 2.1441, d3.loss_bbox: 0.8350, d3.loss_iou: 1.2185, d4.loss_cls: 2.1334, d4.loss_bbox: 0.8330, d4.loss_iou: 1.2150, loss: 25.4143, grad_norm: 15.1805 +2022-10-26 19:59:37,334 - mmdet - INFO - Epoch [6][650/1849] lr: 2.000e-04, eta: 3:10:13, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.1394, loss_bbox: 0.8261, loss_iou: 1.2096, d0.loss_cls: 2.2320, d0.loss_bbox: 0.8680, d0.loss_iou: 1.2499, d1.loss_cls: 2.1958, d1.loss_bbox: 0.8522, d1.loss_iou: 1.2385, d2.loss_cls: 2.1673, d2.loss_bbox: 0.8365, d2.loss_iou: 1.2224, d3.loss_cls: 2.1545, d3.loss_bbox: 0.8299, d3.loss_iou: 1.2139, d4.loss_cls: 2.1430, d4.loss_bbox: 0.8274, d4.loss_iou: 1.2110, loss: 25.4175, grad_norm: 15.0713 +2022-10-26 19:59:44,107 - mmdet - INFO - Epoch [6][700/1849] lr: 2.000e-04, eta: 3:10:05, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.1347, loss_bbox: 0.8248, loss_iou: 1.2113, d0.loss_cls: 2.2315, d0.loss_bbox: 0.8656, d0.loss_iou: 1.2533, d1.loss_cls: 2.1928, d1.loss_bbox: 0.8491, d1.loss_iou: 1.2399, d2.loss_cls: 2.1624, d2.loss_bbox: 0.8355, d2.loss_iou: 1.2232, d3.loss_cls: 2.1498, d3.loss_bbox: 0.8279, d3.loss_iou: 1.2153, d4.loss_cls: 2.1403, d4.loss_bbox: 0.8260, d4.loss_iou: 1.2135, loss: 25.3970, grad_norm: 14.7622 +2022-10-26 19:59:51,019 - mmdet - INFO - Epoch [6][750/1849] lr: 2.000e-04, eta: 3:09:58, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1431, loss_bbox: 0.8259, loss_iou: 1.2116, d0.loss_cls: 2.2427, d0.loss_bbox: 0.8672, d0.loss_iou: 1.2513, d1.loss_cls: 2.2031, d1.loss_bbox: 0.8513, d1.loss_iou: 1.2387, d2.loss_cls: 2.1728, d2.loss_bbox: 0.8376, d2.loss_iou: 1.2232, d3.loss_cls: 2.1613, d3.loss_bbox: 0.8306, d3.loss_iou: 1.2160, d4.loss_cls: 2.1518, d4.loss_bbox: 0.8276, d4.loss_iou: 1.2130, loss: 25.4687, grad_norm: 13.2333 +2022-10-26 19:59:57,899 - mmdet - INFO - Epoch [6][800/1849] lr: 2.000e-04, eta: 3:09:51, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1326, loss_bbox: 0.8318, loss_iou: 1.2183, d0.loss_cls: 2.2240, d0.loss_bbox: 0.8708, d0.loss_iou: 1.2595, d1.loss_cls: 2.1891, d1.loss_bbox: 0.8547, d1.loss_iou: 1.2457, d2.loss_cls: 2.1589, d2.loss_bbox: 0.8415, d2.loss_iou: 1.2297, d3.loss_cls: 2.1450, d3.loss_bbox: 0.8351, d3.loss_iou: 1.2225, d4.loss_cls: 2.1351, d4.loss_bbox: 0.8328, d4.loss_iou: 1.2193, loss: 25.4464, grad_norm: 15.7325 +2022-10-26 20:00:04,805 - mmdet - INFO - Epoch [6][850/1849] lr: 2.000e-04, eta: 3:09:44, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.1385, loss_bbox: 0.8266, loss_iou: 1.2121, d0.loss_cls: 2.2385, d0.loss_bbox: 0.8686, d0.loss_iou: 1.2533, d1.loss_cls: 2.1989, d1.loss_bbox: 0.8522, d1.loss_iou: 1.2403, d2.loss_cls: 2.1674, d2.loss_bbox: 0.8378, d2.loss_iou: 1.2245, d3.loss_cls: 2.1548, d3.loss_bbox: 0.8310, d3.loss_iou: 1.2171, d4.loss_cls: 2.1438, d4.loss_bbox: 0.8286, d4.loss_iou: 1.2131, loss: 25.4472, grad_norm: 14.0385 +2022-10-26 20:00:11,687 - mmdet - INFO - Epoch [6][900/1849] lr: 2.000e-04, eta: 3:09:37, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1409, loss_bbox: 0.8229, loss_iou: 1.2003, d0.loss_cls: 2.2333, d0.loss_bbox: 0.8662, d0.loss_iou: 1.2420, d1.loss_cls: 2.2004, d1.loss_bbox: 0.8476, d1.loss_iou: 1.2279, d2.loss_cls: 2.1700, d2.loss_bbox: 0.8337, d2.loss_iou: 1.2126, d3.loss_cls: 2.1562, d3.loss_bbox: 0.8273, d3.loss_iou: 1.2048, d4.loss_cls: 2.1462, d4.loss_bbox: 0.8245, d4.loss_iou: 1.2014, loss: 25.3581, grad_norm: 14.1059 +2022-10-26 20:00:18,585 - mmdet - INFO - Epoch [6][950/1849] lr: 2.000e-04, eta: 3:09:29, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.1461, loss_bbox: 0.8280, loss_iou: 1.2113, d0.loss_cls: 2.2369, d0.loss_bbox: 0.8694, d0.loss_iou: 1.2521, d1.loss_cls: 2.2023, d1.loss_bbox: 0.8521, d1.loss_iou: 1.2390, d2.loss_cls: 2.1702, d2.loss_bbox: 0.8382, d2.loss_iou: 1.2244, d3.loss_cls: 2.1599, d3.loss_bbox: 0.8321, d3.loss_iou: 1.2163, d4.loss_cls: 2.1503, d4.loss_bbox: 0.8288, d4.loss_iou: 1.2132, loss: 25.4706, grad_norm: 14.3106 +2022-10-26 20:00:25,364 - mmdet - INFO - Epoch [6][1000/1849] lr: 2.000e-04, eta: 3:09:22, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.1360, loss_bbox: 0.8306, loss_iou: 1.2098, d0.loss_cls: 2.2362, d0.loss_bbox: 0.8733, d0.loss_iou: 1.2509, d1.loss_cls: 2.1939, d1.loss_bbox: 0.8557, d1.loss_iou: 1.2358, d2.loss_cls: 2.1648, d2.loss_bbox: 0.8403, d2.loss_iou: 1.2196, d3.loss_cls: 2.1511, d3.loss_bbox: 0.8345, d3.loss_iou: 1.2140, d4.loss_cls: 2.1410, d4.loss_bbox: 0.8323, d4.loss_iou: 1.2112, loss: 25.4310, grad_norm: 14.0708 +2022-10-26 20:00:32,472 - mmdet - INFO - Epoch [6][1050/1849] lr: 2.000e-04, eta: 3:09:16, time: 0.142, data_time: 0.004, memory: 4227, loss_cls: 2.1387, loss_bbox: 0.8265, loss_iou: 1.2121, d0.loss_cls: 2.2372, d0.loss_bbox: 0.8661, d0.loss_iou: 1.2518, d1.loss_cls: 2.1963, d1.loss_bbox: 0.8496, d1.loss_iou: 1.2411, d2.loss_cls: 2.1662, d2.loss_bbox: 0.8354, d2.loss_iou: 1.2247, d3.loss_cls: 2.1516, d3.loss_bbox: 0.8295, d3.loss_iou: 1.2171, d4.loss_cls: 2.1421, d4.loss_bbox: 0.8272, d4.loss_iou: 1.2146, loss: 25.4278, grad_norm: 14.6564 +2022-10-26 20:00:39,262 - mmdet - INFO - Epoch [6][1100/1849] lr: 2.000e-04, eta: 3:09:08, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1438, loss_bbox: 0.8279, loss_iou: 1.2127, d0.loss_cls: 2.2465, d0.loss_bbox: 0.8695, d0.loss_iou: 1.2524, d1.loss_cls: 2.2024, d1.loss_bbox: 0.8535, d1.loss_iou: 1.2390, d2.loss_cls: 2.1752, d2.loss_bbox: 0.8391, d2.loss_iou: 1.2243, d3.loss_cls: 2.1588, d3.loss_bbox: 0.8323, d3.loss_iou: 1.2177, d4.loss_cls: 2.1497, d4.loss_bbox: 0.8289, d4.loss_iou: 1.2142, loss: 25.4879, grad_norm: 15.7209 +2022-10-26 20:00:46,219 - mmdet - INFO - Epoch [6][1150/1849] lr: 2.000e-04, eta: 3:09:02, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1222, loss_bbox: 0.8207, loss_iou: 1.2026, d0.loss_cls: 2.2259, d0.loss_bbox: 0.8638, d0.loss_iou: 1.2450, d1.loss_cls: 2.1837, d1.loss_bbox: 0.8458, d1.loss_iou: 1.2308, d2.loss_cls: 2.1533, d2.loss_bbox: 0.8308, d2.loss_iou: 1.2154, d3.loss_cls: 2.1395, d3.loss_bbox: 0.8236, d3.loss_iou: 1.2078, d4.loss_cls: 2.1304, d4.loss_bbox: 0.8219, d4.loss_iou: 1.2043, loss: 25.2674, grad_norm: 14.4608 +2022-10-26 20:00:53,133 - mmdet - INFO - Epoch [6][1200/1849] lr: 2.000e-04, eta: 3:08:55, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1322, loss_bbox: 0.8250, loss_iou: 1.2065, d0.loss_cls: 2.2292, d0.loss_bbox: 0.8671, d0.loss_iou: 1.2477, d1.loss_cls: 2.1942, d1.loss_bbox: 0.8491, d1.loss_iou: 1.2348, d2.loss_cls: 2.1628, d2.loss_bbox: 0.8356, d2.loss_iou: 1.2193, d3.loss_cls: 2.1486, d3.loss_bbox: 0.8290, d3.loss_iou: 1.2115, d4.loss_cls: 2.1397, d4.loss_bbox: 0.8255, d4.loss_iou: 1.2080, loss: 25.3656, grad_norm: 15.3937 +2022-10-26 20:00:59,983 - mmdet - INFO - Epoch [6][1250/1849] lr: 2.000e-04, eta: 3:08:47, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1309, loss_bbox: 0.8288, loss_iou: 1.2023, d0.loss_cls: 2.2286, d0.loss_bbox: 0.8721, d0.loss_iou: 1.2441, d1.loss_cls: 2.1909, d1.loss_bbox: 0.8549, d1.loss_iou: 1.2306, d2.loss_cls: 2.1612, d2.loss_bbox: 0.8404, d2.loss_iou: 1.2137, d3.loss_cls: 2.1505, d3.loss_bbox: 0.8338, d3.loss_iou: 1.2065, d4.loss_cls: 2.1373, d4.loss_bbox: 0.8310, d4.loss_iou: 1.2032, loss: 25.3607, grad_norm: 14.3108 +2022-10-26 20:01:06,663 - mmdet - INFO - Epoch [6][1300/1849] lr: 2.000e-04, eta: 3:08:39, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.1299, loss_bbox: 0.8295, loss_iou: 1.2083, d0.loss_cls: 2.2218, d0.loss_bbox: 0.8706, d0.loss_iou: 1.2506, d1.loss_cls: 2.1840, d1.loss_bbox: 0.8530, d1.loss_iou: 1.2345, d2.loss_cls: 2.1581, d2.loss_bbox: 0.8387, d2.loss_iou: 1.2190, d3.loss_cls: 2.1449, d3.loss_bbox: 0.8326, d3.loss_iou: 1.2124, d4.loss_cls: 2.1338, d4.loss_bbox: 0.8305, d4.loss_iou: 1.2104, loss: 25.3627, grad_norm: 14.5186 +2022-10-26 20:01:13,554 - mmdet - INFO - Epoch [6][1350/1849] lr: 2.000e-04, eta: 3:08:32, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1315, loss_bbox: 0.8219, loss_iou: 1.2040, d0.loss_cls: 2.2265, d0.loss_bbox: 0.8658, d0.loss_iou: 1.2466, d1.loss_cls: 2.1913, d1.loss_bbox: 0.8473, d1.loss_iou: 1.2332, d2.loss_cls: 2.1566, d2.loss_bbox: 0.8334, d2.loss_iou: 1.2171, d3.loss_cls: 2.1458, d3.loss_bbox: 0.8268, d3.loss_iou: 1.2100, d4.loss_cls: 2.1358, d4.loss_bbox: 0.8234, d4.loss_iou: 1.2063, loss: 25.3232, grad_norm: 13.0944 +2022-10-26 20:01:20,681 - mmdet - INFO - Epoch [6][1400/1849] lr: 2.000e-04, eta: 3:08:26, time: 0.142, data_time: 0.004, memory: 4227, loss_cls: 2.1370, loss_bbox: 0.8284, loss_iou: 1.2120, d0.loss_cls: 2.2356, d0.loss_bbox: 0.8690, d0.loss_iou: 1.2512, d1.loss_cls: 2.1979, d1.loss_bbox: 0.8526, d1.loss_iou: 1.2368, d2.loss_cls: 2.1643, d2.loss_bbox: 0.8384, d2.loss_iou: 1.2235, d3.loss_cls: 2.1494, d3.loss_bbox: 0.8324, d3.loss_iou: 1.2170, d4.loss_cls: 2.1417, d4.loss_bbox: 0.8303, d4.loss_iou: 1.2139, loss: 25.4315, grad_norm: 15.0536 +2022-10-26 20:01:27,747 - mmdet - INFO - Epoch [6][1450/1849] lr: 2.000e-04, eta: 3:08:21, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.1413, loss_bbox: 0.8300, loss_iou: 1.2084, d0.loss_cls: 2.2379, d0.loss_bbox: 0.8707, d0.loss_iou: 1.2499, d1.loss_cls: 2.1975, d1.loss_bbox: 0.8533, d1.loss_iou: 1.2362, d2.loss_cls: 2.1683, d2.loss_bbox: 0.8386, d2.loss_iou: 1.2198, d3.loss_cls: 2.1573, d3.loss_bbox: 0.8332, d3.loss_iou: 1.2128, d4.loss_cls: 2.1465, d4.loss_bbox: 0.8309, d4.loss_iou: 1.2100, loss: 25.4428, grad_norm: 14.6095 +2022-10-26 20:01:34,697 - mmdet - INFO - Epoch [6][1500/1849] lr: 2.000e-04, eta: 3:08:14, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.1360, loss_bbox: 0.8210, loss_iou: 1.2097, d0.loss_cls: 2.2325, d0.loss_bbox: 0.8627, d0.loss_iou: 1.2546, d1.loss_cls: 2.1926, d1.loss_bbox: 0.8465, d1.loss_iou: 1.2388, d2.loss_cls: 2.1624, d2.loss_bbox: 0.8323, d2.loss_iou: 1.2219, d3.loss_cls: 2.1505, d3.loss_bbox: 0.8253, d3.loss_iou: 1.2140, d4.loss_cls: 2.1409, d4.loss_bbox: 0.8228, d4.loss_iou: 1.2110, loss: 25.3756, grad_norm: 14.3722 +2022-10-26 20:01:41,531 - mmdet - INFO - Epoch [6][1550/1849] lr: 2.000e-04, eta: 3:08:07, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1344, loss_bbox: 0.8236, loss_iou: 1.2036, d0.loss_cls: 2.2324, d0.loss_bbox: 0.8678, d0.loss_iou: 1.2456, d1.loss_cls: 2.1954, d1.loss_bbox: 0.8499, d1.loss_iou: 1.2307, d2.loss_cls: 2.1633, d2.loss_bbox: 0.8357, d2.loss_iou: 1.2157, d3.loss_cls: 2.1497, d3.loss_bbox: 0.8290, d3.loss_iou: 1.2083, d4.loss_cls: 2.1411, d4.loss_bbox: 0.8259, d4.loss_iou: 1.2051, loss: 25.3575, grad_norm: 13.6259 +2022-10-26 20:01:48,358 - mmdet - INFO - Epoch [6][1600/1849] lr: 2.000e-04, eta: 3:07:59, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1150, loss_bbox: 0.8282, loss_iou: 1.2161, d0.loss_cls: 2.2121, d0.loss_bbox: 0.8699, d0.loss_iou: 1.2564, d1.loss_cls: 2.1704, d1.loss_bbox: 0.8523, d1.loss_iou: 1.2417, d2.loss_cls: 2.1396, d2.loss_bbox: 0.8387, d2.loss_iou: 1.2273, d3.loss_cls: 2.1298, d3.loss_bbox: 0.8323, d3.loss_iou: 1.2200, d4.loss_cls: 2.1189, d4.loss_bbox: 0.8299, d4.loss_iou: 1.2182, loss: 25.3169, grad_norm: 15.1014 +2022-10-26 20:01:55,117 - mmdet - INFO - Epoch [6][1650/1849] lr: 2.000e-04, eta: 3:07:51, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.1381, loss_bbox: 0.8260, loss_iou: 1.2070, d0.loss_cls: 2.2378, d0.loss_bbox: 0.8680, d0.loss_iou: 1.2466, d1.loss_cls: 2.1971, d1.loss_bbox: 0.8510, d1.loss_iou: 1.2340, d2.loss_cls: 2.1661, d2.loss_bbox: 0.8372, d2.loss_iou: 1.2178, d3.loss_cls: 2.1521, d3.loss_bbox: 0.8308, d3.loss_iou: 1.2099, d4.loss_cls: 2.1422, d4.loss_bbox: 0.8274, d4.loss_iou: 1.2077, loss: 25.3967, grad_norm: 14.6158 +2022-10-26 20:02:01,912 - mmdet - INFO - Epoch [6][1700/1849] lr: 2.000e-04, eta: 3:07:43, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1294, loss_bbox: 0.8219, loss_iou: 1.2048, d0.loss_cls: 2.2245, d0.loss_bbox: 0.8648, d0.loss_iou: 1.2462, d1.loss_cls: 2.1907, d1.loss_bbox: 0.8469, d1.loss_iou: 1.2326, d2.loss_cls: 2.1581, d2.loss_bbox: 0.8324, d2.loss_iou: 1.2175, d3.loss_cls: 2.1467, d3.loss_bbox: 0.8272, d3.loss_iou: 1.2087, d4.loss_cls: 2.1328, d4.loss_bbox: 0.8237, d4.loss_iou: 1.2061, loss: 25.3150, grad_norm: 14.3504 +2022-10-26 20:02:08,778 - mmdet - INFO - Epoch [6][1750/1849] lr: 2.000e-04, eta: 3:07:36, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1403, loss_bbox: 0.8278, loss_iou: 1.2094, d0.loss_cls: 2.2296, d0.loss_bbox: 0.8677, d0.loss_iou: 1.2512, d1.loss_cls: 2.1980, d1.loss_bbox: 0.8525, d1.loss_iou: 1.2374, d2.loss_cls: 2.1676, d2.loss_bbox: 0.8379, d2.loss_iou: 1.2215, d3.loss_cls: 2.1555, d3.loss_bbox: 0.8326, d3.loss_iou: 1.2148, d4.loss_cls: 2.1450, d4.loss_bbox: 0.8291, d4.loss_iou: 1.2114, loss: 25.4294, grad_norm: 14.3907 +2022-10-26 20:02:15,790 - mmdet - INFO - Epoch [6][1800/1849] lr: 2.000e-04, eta: 3:07:30, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.1353, loss_bbox: 0.8198, loss_iou: 1.1996, d0.loss_cls: 2.2318, d0.loss_bbox: 0.8644, d0.loss_iou: 1.2416, d1.loss_cls: 2.1924, d1.loss_bbox: 0.8466, d1.loss_iou: 1.2271, d2.loss_cls: 2.1638, d2.loss_bbox: 0.8306, d2.loss_iou: 1.2119, d3.loss_cls: 2.1475, d3.loss_bbox: 0.8239, d3.loss_iou: 1.2037, d4.loss_cls: 2.1412, d4.loss_bbox: 0.8215, d4.loss_iou: 1.2008, loss: 25.3035, grad_norm: 13.3709 +2022-10-26 20:02:22,675 - mmdet - INFO - Saving checkpoint at 6 epochs +2022-10-26 20:02:33,355 - mmdet - INFO - Epoch [7][50/1849] lr: 2.000e-04, eta: 3:06:50, time: 0.201, data_time: 0.063, memory: 4227, loss_cls: 2.1017, loss_bbox: 0.8179, loss_iou: 1.2038, d0.loss_cls: 2.1987, d0.loss_bbox: 0.8611, d0.loss_iou: 1.2481, d1.loss_cls: 2.1621, d1.loss_bbox: 0.8439, d1.loss_iou: 1.2330, d2.loss_cls: 2.1317, d2.loss_bbox: 0.8289, d2.loss_iou: 1.2176, d3.loss_cls: 2.1175, d3.loss_bbox: 0.8232, d3.loss_iou: 1.2089, d4.loss_cls: 2.1059, d4.loss_bbox: 0.8199, d4.loss_iou: 1.2054, loss: 25.1291, grad_norm: 14.5333 +2022-10-26 20:02:40,363 - mmdet - INFO - Epoch [7][100/1849] lr: 2.000e-04, eta: 3:06:44, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.1064, loss_bbox: 0.8200, loss_iou: 1.2000, d0.loss_cls: 2.2051, d0.loss_bbox: 0.8638, d0.loss_iou: 1.2419, d1.loss_cls: 2.1675, d1.loss_bbox: 0.8444, d1.loss_iou: 1.2275, d2.loss_cls: 2.1349, d2.loss_bbox: 0.8308, d2.loss_iou: 1.2120, d3.loss_cls: 2.1205, d3.loss_bbox: 0.8245, d3.loss_iou: 1.2047, d4.loss_cls: 2.1124, d4.loss_bbox: 0.8218, d4.loss_iou: 1.2017, loss: 25.1398, grad_norm: 13.7668 +2022-10-26 20:02:47,402 - mmdet - INFO - Epoch [7][150/1849] lr: 2.000e-04, eta: 3:06:38, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.1136, loss_bbox: 0.8229, loss_iou: 1.2079, d0.loss_cls: 2.2098, d0.loss_bbox: 0.8662, d0.loss_iou: 1.2497, d1.loss_cls: 2.1728, d1.loss_bbox: 0.8478, d1.loss_iou: 1.2338, d2.loss_cls: 2.1416, d2.loss_bbox: 0.8340, d2.loss_iou: 1.2199, d3.loss_cls: 2.1254, d3.loss_bbox: 0.8272, d3.loss_iou: 1.2120, d4.loss_cls: 2.1165, d4.loss_bbox: 0.8234, d4.loss_iou: 1.2094, loss: 25.2339, grad_norm: 14.4122 +2022-10-26 20:02:54,339 - mmdet - INFO - Epoch [7][200/1849] lr: 2.000e-04, eta: 3:06:31, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1103, loss_bbox: 0.8231, loss_iou: 1.2037, d0.loss_cls: 2.2050, d0.loss_bbox: 0.8645, d0.loss_iou: 1.2442, d1.loss_cls: 2.1706, d1.loss_bbox: 0.8479, d1.loss_iou: 1.2306, d2.loss_cls: 2.1390, d2.loss_bbox: 0.8335, d2.loss_iou: 1.2154, d3.loss_cls: 2.1263, d3.loss_bbox: 0.8275, d3.loss_iou: 1.2088, d4.loss_cls: 2.1158, d4.loss_bbox: 0.8245, d4.loss_iou: 1.2053, loss: 25.1962, grad_norm: 14.0614 +2022-10-26 20:03:01,307 - mmdet - INFO - Epoch [7][250/1849] lr: 2.000e-04, eta: 3:06:25, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1071, loss_bbox: 0.8176, loss_iou: 1.2013, d0.loss_cls: 2.2061, d0.loss_bbox: 0.8608, d0.loss_iou: 1.2444, d1.loss_cls: 2.1674, d1.loss_bbox: 0.8427, d1.loss_iou: 1.2310, d2.loss_cls: 2.1376, d2.loss_bbox: 0.8280, d2.loss_iou: 1.2144, d3.loss_cls: 2.1237, d3.loss_bbox: 0.8212, d3.loss_iou: 1.2058, d4.loss_cls: 2.1126, d4.loss_bbox: 0.8180, d4.loss_iou: 1.2028, loss: 25.1425, grad_norm: 14.2908 +2022-10-26 20:03:08,228 - mmdet - INFO - Epoch [7][300/1849] lr: 2.000e-04, eta: 3:06:18, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1241, loss_bbox: 0.8193, loss_iou: 1.2071, d0.loss_cls: 2.2214, d0.loss_bbox: 0.8625, d0.loss_iou: 1.2502, d1.loss_cls: 2.1833, d1.loss_bbox: 0.8456, d1.loss_iou: 1.2360, d2.loss_cls: 2.1536, d2.loss_bbox: 0.8307, d2.loss_iou: 1.2210, d3.loss_cls: 2.1388, d3.loss_bbox: 0.8242, d3.loss_iou: 1.2117, d4.loss_cls: 2.1293, d4.loss_bbox: 0.8204, d4.loss_iou: 1.2086, loss: 25.2879, grad_norm: 14.0646 +2022-10-26 20:03:15,086 - mmdet - INFO - Epoch [7][350/1849] lr: 2.000e-04, eta: 3:06:11, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1278, loss_bbox: 0.8205, loss_iou: 1.1993, d0.loss_cls: 2.2231, d0.loss_bbox: 0.8630, d0.loss_iou: 1.2422, d1.loss_cls: 2.1883, d1.loss_bbox: 0.8439, d1.loss_iou: 1.2270, d2.loss_cls: 2.1571, d2.loss_bbox: 0.8307, d2.loss_iou: 1.2118, d3.loss_cls: 2.1430, d3.loss_bbox: 0.8252, d3.loss_iou: 1.2041, d4.loss_cls: 2.1328, d4.loss_bbox: 0.8218, d4.loss_iou: 1.2010, loss: 25.2625, grad_norm: 15.6814 +2022-10-26 20:03:22,087 - mmdet - INFO - Epoch [7][400/1849] lr: 2.000e-04, eta: 3:06:05, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.1119, loss_bbox: 0.8180, loss_iou: 1.1987, d0.loss_cls: 2.2120, d0.loss_bbox: 0.8601, d0.loss_iou: 1.2415, d1.loss_cls: 2.1722, d1.loss_bbox: 0.8435, d1.loss_iou: 1.2284, d2.loss_cls: 2.1422, d2.loss_bbox: 0.8299, d2.loss_iou: 1.2122, d3.loss_cls: 2.1269, d3.loss_bbox: 0.8224, d3.loss_iou: 1.2046, d4.loss_cls: 2.1182, d4.loss_bbox: 0.8193, d4.loss_iou: 1.2009, loss: 25.1630, grad_norm: 13.1924 +2022-10-26 20:03:28,916 - mmdet - INFO - Epoch [7][450/1849] lr: 2.000e-04, eta: 3:05:57, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1223, loss_bbox: 0.8226, loss_iou: 1.2043, d0.loss_cls: 2.2203, d0.loss_bbox: 0.8645, d0.loss_iou: 1.2466, d1.loss_cls: 2.1839, d1.loss_bbox: 0.8477, d1.loss_iou: 1.2330, d2.loss_cls: 2.1544, d2.loss_bbox: 0.8330, d2.loss_iou: 1.2172, d3.loss_cls: 2.1373, d3.loss_bbox: 0.8267, d3.loss_iou: 1.2098, d4.loss_cls: 2.1292, d4.loss_bbox: 0.8238, d4.loss_iou: 1.2058, loss: 25.2823, grad_norm: 14.4851 +2022-10-26 20:03:35,757 - mmdet - INFO - Epoch [7][500/1849] lr: 2.000e-04, eta: 3:05:50, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1022, loss_bbox: 0.8177, loss_iou: 1.2034, d0.loss_cls: 2.2003, d0.loss_bbox: 0.8600, d0.loss_iou: 1.2472, d1.loss_cls: 2.1645, d1.loss_bbox: 0.8438, d1.loss_iou: 1.2335, d2.loss_cls: 2.1330, d2.loss_bbox: 0.8296, d2.loss_iou: 1.2173, d3.loss_cls: 2.1177, d3.loss_bbox: 0.8223, d3.loss_iou: 1.2096, d4.loss_cls: 2.1057, d4.loss_bbox: 0.8193, d4.loss_iou: 1.2055, loss: 25.1326, grad_norm: 14.8569 +2022-10-26 20:03:42,469 - mmdet - INFO - Epoch [7][550/1849] lr: 2.000e-04, eta: 3:05:42, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.1220, loss_bbox: 0.8194, loss_iou: 1.1992, d0.loss_cls: 2.2204, d0.loss_bbox: 0.8611, d0.loss_iou: 1.2419, d1.loss_cls: 2.1842, d1.loss_bbox: 0.8450, d1.loss_iou: 1.2283, d2.loss_cls: 2.1488, d2.loss_bbox: 0.8306, d2.loss_iou: 1.2130, d3.loss_cls: 2.1390, d3.loss_bbox: 0.8241, d3.loss_iou: 1.2046, d4.loss_cls: 2.1281, d4.loss_bbox: 0.8210, d4.loss_iou: 1.2011, loss: 25.2316, grad_norm: 15.3696 +2022-10-26 20:03:49,329 - mmdet - INFO - Epoch [7][600/1849] lr: 2.000e-04, eta: 3:05:35, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1137, loss_bbox: 0.8205, loss_iou: 1.2076, d0.loss_cls: 2.2095, d0.loss_bbox: 0.8630, d0.loss_iou: 1.2485, d1.loss_cls: 2.1698, d1.loss_bbox: 0.8467, d1.loss_iou: 1.2341, d2.loss_cls: 2.1393, d2.loss_bbox: 0.8331, d2.loss_iou: 1.2201, d3.loss_cls: 2.1295, d3.loss_bbox: 0.8255, d3.loss_iou: 1.2116, d4.loss_cls: 2.1187, d4.loss_bbox: 0.8218, d4.loss_iou: 1.2092, loss: 25.2218, grad_norm: 14.6528 +2022-10-26 20:03:56,107 - mmdet - INFO - Epoch [7][650/1849] lr: 2.000e-04, eta: 3:05:27, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1174, loss_bbox: 0.8164, loss_iou: 1.1980, d0.loss_cls: 2.2130, d0.loss_bbox: 0.8608, d0.loss_iou: 1.2411, d1.loss_cls: 2.1766, d1.loss_bbox: 0.8423, d1.loss_iou: 1.2265, d2.loss_cls: 2.1457, d2.loss_bbox: 0.8280, d2.loss_iou: 1.2103, d3.loss_cls: 2.1355, d3.loss_bbox: 0.8209, d3.loss_iou: 1.2026, d4.loss_cls: 2.1219, d4.loss_bbox: 0.8177, d4.loss_iou: 1.1998, loss: 25.1744, grad_norm: 14.5508 +2022-10-26 20:04:03,071 - mmdet - INFO - Epoch [7][700/1849] lr: 2.000e-04, eta: 3:05:21, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1114, loss_bbox: 0.8184, loss_iou: 1.1987, d0.loss_cls: 2.2079, d0.loss_bbox: 0.8614, d0.loss_iou: 1.2431, d1.loss_cls: 2.1707, d1.loss_bbox: 0.8433, d1.loss_iou: 1.2266, d2.loss_cls: 2.1419, d2.loss_bbox: 0.8293, d2.loss_iou: 1.2111, d3.loss_cls: 2.1278, d3.loss_bbox: 0.8226, d3.loss_iou: 1.2034, d4.loss_cls: 2.1158, d4.loss_bbox: 0.8200, d4.loss_iou: 1.2001, loss: 25.1536, grad_norm: 14.1966 +2022-10-26 20:04:10,042 - mmdet - INFO - Epoch [7][750/1849] lr: 2.000e-04, eta: 3:05:14, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.1106, loss_bbox: 0.8202, loss_iou: 1.2058, d0.loss_cls: 2.2110, d0.loss_bbox: 0.8620, d0.loss_iou: 1.2491, d1.loss_cls: 2.1724, d1.loss_bbox: 0.8458, d1.loss_iou: 1.2347, d2.loss_cls: 2.1403, d2.loss_bbox: 0.8309, d2.loss_iou: 1.2187, d3.loss_cls: 2.1273, d3.loss_bbox: 0.8245, d3.loss_iou: 1.2111, d4.loss_cls: 2.1185, d4.loss_bbox: 0.8213, d4.loss_iou: 1.2079, loss: 25.2120, grad_norm: 14.9572 +2022-10-26 20:04:16,715 - mmdet - INFO - Epoch [7][800/1849] lr: 2.000e-04, eta: 3:05:06, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.0993, loss_bbox: 0.8139, loss_iou: 1.2004, d0.loss_cls: 2.1975, d0.loss_bbox: 0.8572, d0.loss_iou: 1.2432, d1.loss_cls: 2.1561, d1.loss_bbox: 0.8396, d1.loss_iou: 1.2285, d2.loss_cls: 2.1275, d2.loss_bbox: 0.8256, d2.loss_iou: 1.2123, d3.loss_cls: 2.1146, d3.loss_bbox: 0.8185, d3.loss_iou: 1.2056, d4.loss_cls: 2.1021, d4.loss_bbox: 0.8154, d4.loss_iou: 1.2021, loss: 25.0593, grad_norm: 14.9811 +2022-10-26 20:04:23,551 - mmdet - INFO - Epoch [7][850/1849] lr: 2.000e-04, eta: 3:04:59, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.0968, loss_bbox: 0.8180, loss_iou: 1.1984, d0.loss_cls: 2.1950, d0.loss_bbox: 0.8616, d0.loss_iou: 1.2431, d1.loss_cls: 2.1552, d1.loss_bbox: 0.8445, d1.loss_iou: 1.2286, d2.loss_cls: 2.1259, d2.loss_bbox: 0.8297, d2.loss_iou: 1.2121, d3.loss_cls: 2.1126, d3.loss_bbox: 0.8224, d3.loss_iou: 1.2034, d4.loss_cls: 2.1030, d4.loss_bbox: 0.8200, d4.loss_iou: 1.2004, loss: 25.0706, grad_norm: 13.8112 +2022-10-26 20:04:30,625 - mmdet - INFO - Epoch [7][900/1849] lr: 2.000e-04, eta: 3:04:53, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.1074, loss_bbox: 0.8239, loss_iou: 1.1984, d0.loss_cls: 2.2044, d0.loss_bbox: 0.8668, d0.loss_iou: 1.2407, d1.loss_cls: 2.1666, d1.loss_bbox: 0.8493, d1.loss_iou: 1.2275, d2.loss_cls: 2.1389, d2.loss_bbox: 0.8356, d2.loss_iou: 1.2100, d3.loss_cls: 2.1217, d3.loss_bbox: 0.8279, d3.loss_iou: 1.2040, d4.loss_cls: 2.1133, d4.loss_bbox: 0.8252, d4.loss_iou: 1.1998, loss: 25.1615, grad_norm: 13.5032 +2022-10-26 20:04:37,430 - mmdet - INFO - Epoch [7][950/1849] lr: 2.000e-04, eta: 3:04:45, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.1145, loss_bbox: 0.8152, loss_iou: 1.1977, d0.loss_cls: 2.2099, d0.loss_bbox: 0.8584, d0.loss_iou: 1.2413, d1.loss_cls: 2.1709, d1.loss_bbox: 0.8415, d1.loss_iou: 1.2255, d2.loss_cls: 2.1434, d2.loss_bbox: 0.8251, d2.loss_iou: 1.2097, d3.loss_cls: 2.1306, d3.loss_bbox: 0.8193, d3.loss_iou: 1.2022, d4.loss_cls: 2.1192, d4.loss_bbox: 0.8167, d4.loss_iou: 1.1989, loss: 25.1400, grad_norm: 14.4573 +2022-10-26 20:04:44,178 - mmdet - INFO - Epoch [7][1000/1849] lr: 2.000e-04, eta: 3:04:38, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.1279, loss_bbox: 0.8216, loss_iou: 1.2052, d0.loss_cls: 2.2216, d0.loss_bbox: 0.8644, d0.loss_iou: 1.2488, d1.loss_cls: 2.1865, d1.loss_bbox: 0.8470, d1.loss_iou: 1.2339, d2.loss_cls: 2.1597, d2.loss_bbox: 0.8329, d2.loss_iou: 1.2188, d3.loss_cls: 2.1459, d3.loss_bbox: 0.8259, d3.loss_iou: 1.2103, d4.loss_cls: 2.1342, d4.loss_bbox: 0.8227, d4.loss_iou: 1.2071, loss: 25.3144, grad_norm: 14.5795 +2022-10-26 20:04:50,901 - mmdet - INFO - Epoch [7][1050/1849] lr: 2.000e-04, eta: 3:04:30, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.1233, loss_bbox: 0.8176, loss_iou: 1.2031, d0.loss_cls: 2.2175, d0.loss_bbox: 0.8609, d0.loss_iou: 1.2473, d1.loss_cls: 2.1821, d1.loss_bbox: 0.8431, d1.loss_iou: 1.2316, d2.loss_cls: 2.1534, d2.loss_bbox: 0.8287, d2.loss_iou: 1.2162, d3.loss_cls: 2.1411, d3.loss_bbox: 0.8215, d3.loss_iou: 1.2083, d4.loss_cls: 2.1283, d4.loss_bbox: 0.8188, d4.loss_iou: 1.2049, loss: 25.2477, grad_norm: 15.1653 +2022-10-26 20:04:57,796 - mmdet - INFO - Epoch [7][1100/1849] lr: 2.000e-04, eta: 3:04:23, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1270, loss_bbox: 0.8175, loss_iou: 1.2044, d0.loss_cls: 2.2195, d0.loss_bbox: 0.8593, d0.loss_iou: 1.2481, d1.loss_cls: 2.1839, d1.loss_bbox: 0.8420, d1.loss_iou: 1.2329, d2.loss_cls: 2.1569, d2.loss_bbox: 0.8296, d2.loss_iou: 1.2173, d3.loss_cls: 2.1434, d3.loss_bbox: 0.8227, d3.loss_iou: 1.2102, d4.loss_cls: 2.1327, d4.loss_bbox: 0.8194, d4.loss_iou: 1.2062, loss: 25.2729, grad_norm: 14.9004 +2022-10-26 20:05:04,702 - mmdet - INFO - Epoch [7][1150/1849] lr: 2.000e-04, eta: 3:04:16, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.1153, loss_bbox: 0.8165, loss_iou: 1.1994, d0.loss_cls: 2.2094, d0.loss_bbox: 0.8597, d0.loss_iou: 1.2420, d1.loss_cls: 2.1744, d1.loss_bbox: 0.8425, d1.loss_iou: 1.2273, d2.loss_cls: 2.1465, d2.loss_bbox: 0.8271, d2.loss_iou: 1.2108, d3.loss_cls: 2.1303, d3.loss_bbox: 0.8207, d3.loss_iou: 1.2033, d4.loss_cls: 2.1186, d4.loss_bbox: 0.8182, d4.loss_iou: 1.2008, loss: 25.1630, grad_norm: 15.2137 +2022-10-26 20:05:11,618 - mmdet - INFO - Epoch [7][1200/1849] lr: 2.000e-04, eta: 3:04:09, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1013, loss_bbox: 0.8143, loss_iou: 1.1968, d0.loss_cls: 2.1950, d0.loss_bbox: 0.8591, d0.loss_iou: 1.2409, d1.loss_cls: 2.1593, d1.loss_bbox: 0.8401, d1.loss_iou: 1.2259, d2.loss_cls: 2.1289, d2.loss_bbox: 0.8257, d2.loss_iou: 1.2099, d3.loss_cls: 2.1178, d3.loss_bbox: 0.8191, d3.loss_iou: 1.2022, d4.loss_cls: 2.1060, d4.loss_bbox: 0.8160, d4.loss_iou: 1.1983, loss: 25.0566, grad_norm: 14.0544 +2022-10-26 20:05:18,491 - mmdet - INFO - Epoch [7][1250/1849] lr: 2.000e-04, eta: 3:04:02, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1174, loss_bbox: 0.8186, loss_iou: 1.1989, d0.loss_cls: 2.2115, d0.loss_bbox: 0.8632, d0.loss_iou: 1.2408, d1.loss_cls: 2.1734, d1.loss_bbox: 0.8446, d1.loss_iou: 1.2269, d2.loss_cls: 2.1445, d2.loss_bbox: 0.8305, d2.loss_iou: 1.2117, d3.loss_cls: 2.1327, d3.loss_bbox: 0.8239, d3.loss_iou: 1.2034, d4.loss_cls: 2.1207, d4.loss_bbox: 0.8205, d4.loss_iou: 1.2004, loss: 25.1838, grad_norm: 14.6176 +2022-10-26 20:05:25,200 - mmdet - INFO - Epoch [7][1300/1849] lr: 2.000e-04, eta: 3:03:54, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.1085, loss_bbox: 0.8197, loss_iou: 1.2034, d0.loss_cls: 2.2016, d0.loss_bbox: 0.8636, d0.loss_iou: 1.2463, d1.loss_cls: 2.1695, d1.loss_bbox: 0.8457, d1.loss_iou: 1.2321, d2.loss_cls: 2.1408, d2.loss_bbox: 0.8300, d2.loss_iou: 1.2150, d3.loss_cls: 2.1247, d3.loss_bbox: 0.8239, d3.loss_iou: 1.2083, d4.loss_cls: 2.1124, d4.loss_bbox: 0.8216, d4.loss_iou: 1.2048, loss: 25.1719, grad_norm: 14.6869 +2022-10-26 20:05:32,031 - mmdet - INFO - Epoch [7][1350/1849] lr: 2.000e-04, eta: 3:03:47, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1209, loss_bbox: 0.8199, loss_iou: 1.2035, d0.loss_cls: 2.2136, d0.loss_bbox: 0.8644, d0.loss_iou: 1.2493, d1.loss_cls: 2.1785, d1.loss_bbox: 0.8464, d1.loss_iou: 1.2326, d2.loss_cls: 2.1488, d2.loss_bbox: 0.8322, d2.loss_iou: 1.2169, d3.loss_cls: 2.1360, d3.loss_bbox: 0.8243, d3.loss_iou: 1.2092, d4.loss_cls: 2.1266, d4.loss_bbox: 0.8208, d4.loss_iou: 1.2056, loss: 25.2494, grad_norm: 14.2991 +2022-10-26 20:05:38,802 - mmdet - INFO - Epoch [7][1400/1849] lr: 2.000e-04, eta: 3:03:39, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.1098, loss_bbox: 0.8201, loss_iou: 1.2049, d0.loss_cls: 2.2067, d0.loss_bbox: 0.8619, d0.loss_iou: 1.2487, d1.loss_cls: 2.1699, d1.loss_bbox: 0.8447, d1.loss_iou: 1.2325, d2.loss_cls: 2.1396, d2.loss_bbox: 0.8305, d2.loss_iou: 1.2180, d3.loss_cls: 2.1246, d3.loss_bbox: 0.8246, d3.loss_iou: 1.2103, d4.loss_cls: 2.1137, d4.loss_bbox: 0.8212, d4.loss_iou: 1.2071, loss: 25.1889, grad_norm: 15.8249 +2022-10-26 20:05:45,721 - mmdet - INFO - Epoch [7][1450/1849] lr: 2.000e-04, eta: 3:03:32, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1110, loss_bbox: 0.8194, loss_iou: 1.2011, d0.loss_cls: 2.2097, d0.loss_bbox: 0.8617, d0.loss_iou: 1.2460, d1.loss_cls: 2.1749, d1.loss_bbox: 0.8456, d1.loss_iou: 1.2303, d2.loss_cls: 2.1424, d2.loss_bbox: 0.8311, d2.loss_iou: 1.2138, d3.loss_cls: 2.1275, d3.loss_bbox: 0.8245, d3.loss_iou: 1.2059, d4.loss_cls: 2.1147, d4.loss_bbox: 0.8207, d4.loss_iou: 1.2031, loss: 25.1832, grad_norm: 15.5252 +2022-10-26 20:05:52,635 - mmdet - INFO - Epoch [7][1500/1849] lr: 2.000e-04, eta: 3:03:26, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.1066, loss_bbox: 0.8193, loss_iou: 1.1998, d0.loss_cls: 2.2031, d0.loss_bbox: 0.8627, d0.loss_iou: 1.2434, d1.loss_cls: 2.1659, d1.loss_bbox: 0.8452, d1.loss_iou: 1.2284, d2.loss_cls: 2.1370, d2.loss_bbox: 0.8305, d2.loss_iou: 1.2132, d3.loss_cls: 2.1228, d3.loss_bbox: 0.8240, d3.loss_iou: 1.2045, d4.loss_cls: 2.1115, d4.loss_bbox: 0.8206, d4.loss_iou: 1.2015, loss: 25.1401, grad_norm: 15.0050 +2022-10-26 20:05:59,487 - mmdet - INFO - Epoch [7][1550/1849] lr: 2.000e-04, eta: 3:03:18, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.0895, loss_bbox: 0.8184, loss_iou: 1.1996, d0.loss_cls: 2.1855, d0.loss_bbox: 0.8606, d0.loss_iou: 1.2439, d1.loss_cls: 2.1487, d1.loss_bbox: 0.8431, d1.loss_iou: 1.2286, d2.loss_cls: 2.1186, d2.loss_bbox: 0.8299, d2.loss_iou: 1.2127, d3.loss_cls: 2.1053, d3.loss_bbox: 0.8225, d3.loss_iou: 1.2052, d4.loss_cls: 2.0968, d4.loss_bbox: 0.8196, d4.loss_iou: 1.2015, loss: 25.0299, grad_norm: 15.1298 +2022-10-26 20:06:06,333 - mmdet - INFO - Epoch [7][1600/1849] lr: 2.000e-04, eta: 3:03:11, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.1172, loss_bbox: 0.8182, loss_iou: 1.2033, d0.loss_cls: 2.2103, d0.loss_bbox: 0.8597, d0.loss_iou: 1.2479, d1.loss_cls: 2.1754, d1.loss_bbox: 0.8435, d1.loss_iou: 1.2328, d2.loss_cls: 2.1477, d2.loss_bbox: 0.8290, d2.loss_iou: 1.2157, d3.loss_cls: 2.1315, d3.loss_bbox: 0.8226, d3.loss_iou: 1.2087, d4.loss_cls: 2.1236, d4.loss_bbox: 0.8196, d4.loss_iou: 1.2054, loss: 25.2123, grad_norm: 14.7703 +2022-10-26 20:06:13,237 - mmdet - INFO - Epoch [7][1650/1849] lr: 2.000e-04, eta: 3:03:05, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1018, loss_bbox: 0.8163, loss_iou: 1.1959, d0.loss_cls: 2.1998, d0.loss_bbox: 0.8609, d0.loss_iou: 1.2410, d1.loss_cls: 2.1602, d1.loss_bbox: 0.8427, d1.loss_iou: 1.2248, d2.loss_cls: 2.1306, d2.loss_bbox: 0.8275, d2.loss_iou: 1.2089, d3.loss_cls: 2.1170, d3.loss_bbox: 0.8206, d3.loss_iou: 1.2011, d4.loss_cls: 2.1070, d4.loss_bbox: 0.8181, d4.loss_iou: 1.1977, loss: 25.0720, grad_norm: 13.7790 +2022-10-26 20:06:20,181 - mmdet - INFO - Epoch [7][1700/1849] lr: 2.000e-04, eta: 3:02:58, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.0986, loss_bbox: 0.8193, loss_iou: 1.1976, d0.loss_cls: 2.1970, d0.loss_bbox: 0.8621, d0.loss_iou: 1.2412, d1.loss_cls: 2.1601, d1.loss_bbox: 0.8453, d1.loss_iou: 1.2269, d2.loss_cls: 2.1299, d2.loss_bbox: 0.8313, d2.loss_iou: 1.2103, d3.loss_cls: 2.1137, d3.loss_bbox: 0.8245, d3.loss_iou: 1.2022, d4.loss_cls: 2.1061, d4.loss_bbox: 0.8210, d4.loss_iou: 1.1997, loss: 25.0867, grad_norm: 15.0025 +2022-10-26 20:06:26,998 - mmdet - INFO - Epoch [7][1750/1849] lr: 2.000e-04, eta: 3:02:51, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.1073, loss_bbox: 0.8106, loss_iou: 1.1968, d0.loss_cls: 2.2054, d0.loss_bbox: 0.8553, d0.loss_iou: 1.2420, d1.loss_cls: 2.1634, d1.loss_bbox: 0.8373, d1.loss_iou: 1.2259, d2.loss_cls: 2.1366, d2.loss_bbox: 0.8220, d2.loss_iou: 1.2102, d3.loss_cls: 2.1237, d3.loss_bbox: 0.8146, d3.loss_iou: 1.2015, d4.loss_cls: 2.1129, d4.loss_bbox: 0.8118, d4.loss_iou: 1.1986, loss: 25.0758, grad_norm: 13.9866 +2022-10-26 20:06:33,787 - mmdet - INFO - Epoch [7][1800/1849] lr: 2.000e-04, eta: 3:02:43, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.1052, loss_bbox: 0.8118, loss_iou: 1.1968, d0.loss_cls: 2.1992, d0.loss_bbox: 0.8553, d0.loss_iou: 1.2415, d1.loss_cls: 2.1648, d1.loss_bbox: 0.8385, d1.loss_iou: 1.2264, d2.loss_cls: 2.1323, d2.loss_bbox: 0.8236, d2.loss_iou: 1.2092, d3.loss_cls: 2.1201, d3.loss_bbox: 0.8165, d3.loss_iou: 1.2021, d4.loss_cls: 2.1110, d4.loss_bbox: 0.8137, d4.loss_iou: 1.1985, loss: 25.0666, grad_norm: 14.2239 +2022-10-26 20:06:40,603 - mmdet - INFO - Saving checkpoint at 7 epochs +2022-10-26 20:06:51,320 - mmdet - INFO - Epoch [8][50/1849] lr: 2.000e-04, eta: 3:02:08, time: 0.202, data_time: 0.064, memory: 4227, loss_cls: 2.0998, loss_bbox: 0.8143, loss_iou: 1.1971, d0.loss_cls: 2.1961, d0.loss_bbox: 0.8567, d0.loss_iou: 1.2415, d1.loss_cls: 2.1589, d1.loss_bbox: 0.8387, d1.loss_iou: 1.2252, d2.loss_cls: 2.1301, d2.loss_bbox: 0.8251, d2.loss_iou: 1.2098, d3.loss_cls: 2.1141, d3.loss_bbox: 0.8183, d3.loss_iou: 1.2022, d4.loss_cls: 2.1016, d4.loss_bbox: 0.8150, d4.loss_iou: 1.1989, loss: 25.0431, grad_norm: 13.8792 +2022-10-26 20:06:58,255 - mmdet - INFO - Epoch [8][100/1849] lr: 2.000e-04, eta: 3:02:01, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.1066, loss_bbox: 0.8150, loss_iou: 1.2003, d0.loss_cls: 2.1983, d0.loss_bbox: 0.8582, d0.loss_iou: 1.2452, d1.loss_cls: 2.1632, d1.loss_bbox: 0.8393, d1.loss_iou: 1.2276, d2.loss_cls: 2.1349, d2.loss_bbox: 0.8251, d2.loss_iou: 1.2131, d3.loss_cls: 2.1222, d3.loss_bbox: 0.8191, d3.loss_iou: 1.2051, d4.loss_cls: 2.1123, d4.loss_bbox: 0.8155, d4.loss_iou: 1.2022, loss: 25.1032, grad_norm: 13.8279 +2022-10-26 20:07:05,286 - mmdet - INFO - Epoch [8][150/1849] lr: 2.000e-04, eta: 3:01:55, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0902, loss_bbox: 0.8158, loss_iou: 1.1941, d0.loss_cls: 2.1890, d0.loss_bbox: 0.8588, d0.loss_iou: 1.2374, d1.loss_cls: 2.1534, d1.loss_bbox: 0.8405, d1.loss_iou: 1.2219, d2.loss_cls: 2.1233, d2.loss_bbox: 0.8270, d2.loss_iou: 1.2067, d3.loss_cls: 2.1094, d3.loss_bbox: 0.8204, d3.loss_iou: 1.1998, d4.loss_cls: 2.0976, d4.loss_bbox: 0.8173, d4.loss_iou: 1.1961, loss: 24.9987, grad_norm: 16.7362 +2022-10-26 20:07:12,228 - mmdet - INFO - Epoch [8][200/1849] lr: 2.000e-04, eta: 3:01:49, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.0906, loss_bbox: 0.8102, loss_iou: 1.1878, d0.loss_cls: 2.1870, d0.loss_bbox: 0.8552, d0.loss_iou: 1.2342, d1.loss_cls: 2.1493, d1.loss_bbox: 0.8376, d1.loss_iou: 1.2182, d2.loss_cls: 2.1192, d2.loss_bbox: 0.8227, d2.loss_iou: 1.2015, d3.loss_cls: 2.1082, d3.loss_bbox: 0.8158, d3.loss_iou: 1.1946, d4.loss_cls: 2.0975, d4.loss_bbox: 0.8126, d4.loss_iou: 1.1895, loss: 24.9317, grad_norm: 14.0450 +2022-10-26 20:07:19,650 - mmdet - INFO - Epoch [8][250/1849] lr: 2.000e-04, eta: 3:01:45, time: 0.148, data_time: 0.004, memory: 4227, loss_cls: 2.0856, loss_bbox: 0.8108, loss_iou: 1.1939, d0.loss_cls: 2.1854, d0.loss_bbox: 0.8554, d0.loss_iou: 1.2392, d1.loss_cls: 2.1493, d1.loss_bbox: 0.8372, d1.loss_iou: 1.2234, d2.loss_cls: 2.1185, d2.loss_bbox: 0.8226, d2.loss_iou: 1.2068, d3.loss_cls: 2.1019, d3.loss_bbox: 0.8149, d3.loss_iou: 1.1996, d4.loss_cls: 2.0912, d4.loss_bbox: 0.8119, d4.loss_iou: 1.1958, loss: 24.9435, grad_norm: 14.9253 +2022-10-26 20:07:26,465 - mmdet - INFO - Epoch [8][300/1849] lr: 2.000e-04, eta: 3:01:38, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.0797, loss_bbox: 0.8101, loss_iou: 1.1911, d0.loss_cls: 2.1775, d0.loss_bbox: 0.8539, d0.loss_iou: 1.2356, d1.loss_cls: 2.1410, d1.loss_bbox: 0.8366, d1.loss_iou: 1.2204, d2.loss_cls: 2.1107, d2.loss_bbox: 0.8217, d2.loss_iou: 1.2034, d3.loss_cls: 2.0961, d3.loss_bbox: 0.8145, d3.loss_iou: 1.1957, d4.loss_cls: 2.0875, d4.loss_bbox: 0.8123, d4.loss_iou: 1.1923, loss: 24.8802, grad_norm: 14.1434 +2022-10-26 20:07:33,270 - mmdet - INFO - Epoch [8][350/1849] lr: 2.000e-04, eta: 3:01:30, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.1071, loss_bbox: 0.8121, loss_iou: 1.1936, d0.loss_cls: 2.1999, d0.loss_bbox: 0.8558, d0.loss_iou: 1.2363, d1.loss_cls: 2.1650, d1.loss_bbox: 0.8376, d1.loss_iou: 1.2223, d2.loss_cls: 2.1357, d2.loss_bbox: 0.8234, d2.loss_iou: 1.2051, d3.loss_cls: 2.1258, d3.loss_bbox: 0.8164, d3.loss_iou: 1.1973, d4.loss_cls: 2.1143, d4.loss_bbox: 0.8133, d4.loss_iou: 1.1947, loss: 25.0556, grad_norm: 15.2714 +2022-10-26 20:07:40,304 - mmdet - INFO - Epoch [8][400/1849] lr: 2.000e-04, eta: 3:01:24, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0727, loss_bbox: 0.8137, loss_iou: 1.1962, d0.loss_cls: 2.1683, d0.loss_bbox: 0.8567, d0.loss_iou: 1.2399, d1.loss_cls: 2.1318, d1.loss_bbox: 0.8386, d1.loss_iou: 1.2242, d2.loss_cls: 2.1037, d2.loss_bbox: 0.8251, d2.loss_iou: 1.2088, d3.loss_cls: 2.0891, d3.loss_bbox: 0.8182, d3.loss_iou: 1.2013, d4.loss_cls: 2.0785, d4.loss_bbox: 0.8146, d4.loss_iou: 1.1982, loss: 24.8797, grad_norm: 16.5538 +2022-10-26 20:07:47,358 - mmdet - INFO - Epoch [8][450/1849] lr: 2.000e-04, eta: 3:01:19, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0884, loss_bbox: 0.8075, loss_iou: 1.1935, d0.loss_cls: 2.1859, d0.loss_bbox: 0.8510, d0.loss_iou: 1.2394, d1.loss_cls: 2.1514, d1.loss_bbox: 0.8321, d1.loss_iou: 1.2237, d2.loss_cls: 2.1194, d2.loss_bbox: 0.8186, d2.loss_iou: 1.2070, d3.loss_cls: 2.1050, d3.loss_bbox: 0.8124, d3.loss_iou: 1.1999, d4.loss_cls: 2.0948, d4.loss_bbox: 0.8088, d4.loss_iou: 1.1955, loss: 24.9345, grad_norm: 13.7042 +2022-10-26 20:07:54,214 - mmdet - INFO - Epoch [8][500/1849] lr: 2.000e-04, eta: 3:01:12, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0874, loss_bbox: 0.8128, loss_iou: 1.1985, d0.loss_cls: 2.1835, d0.loss_bbox: 0.8570, d0.loss_iou: 1.2420, d1.loss_cls: 2.1496, d1.loss_bbox: 0.8382, d1.loss_iou: 1.2274, d2.loss_cls: 2.1197, d2.loss_bbox: 0.8246, d2.loss_iou: 1.2109, d3.loss_cls: 2.1062, d3.loss_bbox: 0.8178, d3.loss_iou: 1.2035, d4.loss_cls: 2.0925, d4.loss_bbox: 0.8149, d4.loss_iou: 1.2006, loss: 24.9869, grad_norm: 13.5622 +2022-10-26 20:08:01,062 - mmdet - INFO - Epoch [8][550/1849] lr: 2.000e-04, eta: 3:01:05, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0978, loss_bbox: 0.8142, loss_iou: 1.1946, d0.loss_cls: 2.1932, d0.loss_bbox: 0.8580, d0.loss_iou: 1.2395, d1.loss_cls: 2.1572, d1.loss_bbox: 0.8404, d1.loss_iou: 1.2251, d2.loss_cls: 2.1263, d2.loss_bbox: 0.8252, d2.loss_iou: 1.2078, d3.loss_cls: 2.1160, d3.loss_bbox: 0.8186, d3.loss_iou: 1.2000, d4.loss_cls: 2.1026, d4.loss_bbox: 0.8151, d4.loss_iou: 1.1963, loss: 25.0279, grad_norm: 13.9841 +2022-10-26 20:08:07,761 - mmdet - INFO - Epoch [8][600/1849] lr: 2.000e-04, eta: 3:00:57, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.0959, loss_bbox: 0.8122, loss_iou: 1.1950, d0.loss_cls: 2.1909, d0.loss_bbox: 0.8559, d0.loss_iou: 1.2407, d1.loss_cls: 2.1546, d1.loss_bbox: 0.8383, d1.loss_iou: 1.2250, d2.loss_cls: 2.1248, d2.loss_bbox: 0.8246, d2.loss_iou: 1.2092, d3.loss_cls: 2.1114, d3.loss_bbox: 0.8173, d3.loss_iou: 1.2011, d4.loss_cls: 2.1012, d4.loss_bbox: 0.8144, d4.loss_iou: 1.1967, loss: 25.0094, grad_norm: 13.7990 +2022-10-26 20:08:14,567 - mmdet - INFO - Epoch [8][650/1849] lr: 2.000e-04, eta: 3:00:49, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.0849, loss_bbox: 0.8122, loss_iou: 1.1967, d0.loss_cls: 2.1791, d0.loss_bbox: 0.8549, d0.loss_iou: 1.2403, d1.loss_cls: 2.1447, d1.loss_bbox: 0.8384, d1.loss_iou: 1.2257, d2.loss_cls: 2.1141, d2.loss_bbox: 0.8246, d2.loss_iou: 1.2093, d3.loss_cls: 2.0997, d3.loss_bbox: 0.8173, d3.loss_iou: 1.2022, d4.loss_cls: 2.0903, d4.loss_bbox: 0.8138, d4.loss_iou: 1.1982, loss: 24.9462, grad_norm: 16.1808 +2022-10-26 20:08:21,330 - mmdet - INFO - Epoch [8][700/1849] lr: 2.000e-04, eta: 3:00:42, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.0922, loss_bbox: 0.8109, loss_iou: 1.1963, d0.loss_cls: 2.1841, d0.loss_bbox: 0.8549, d0.loss_iou: 1.2415, d1.loss_cls: 2.1478, d1.loss_bbox: 0.8375, d1.loss_iou: 1.2260, d2.loss_cls: 2.1203, d2.loss_bbox: 0.8241, d2.loss_iou: 1.2084, d3.loss_cls: 2.1065, d3.loss_bbox: 0.8158, d3.loss_iou: 1.2022, d4.loss_cls: 2.0964, d4.loss_bbox: 0.8128, d4.loss_iou: 1.1976, loss: 24.9753, grad_norm: 15.3359 +2022-10-26 20:08:28,248 - mmdet - INFO - Epoch [8][750/1849] lr: 2.000e-04, eta: 3:00:35, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.0888, loss_bbox: 0.8115, loss_iou: 1.1955, d0.loss_cls: 2.1808, d0.loss_bbox: 0.8568, d0.loss_iou: 1.2420, d1.loss_cls: 2.1457, d1.loss_bbox: 0.8378, d1.loss_iou: 1.2247, d2.loss_cls: 2.1154, d2.loss_bbox: 0.8227, d2.loss_iou: 1.2079, d3.loss_cls: 2.1035, d3.loss_bbox: 0.8159, d3.loss_iou: 1.2003, d4.loss_cls: 2.0939, d4.loss_bbox: 0.8135, d4.loss_iou: 1.1973, loss: 24.9541, grad_norm: 13.6838 +2022-10-26 20:08:35,191 - mmdet - INFO - Epoch [8][800/1849] lr: 2.000e-04, eta: 3:00:29, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.0816, loss_bbox: 0.8082, loss_iou: 1.1931, d0.loss_cls: 2.1782, d0.loss_bbox: 0.8523, d0.loss_iou: 1.2377, d1.loss_cls: 2.1438, d1.loss_bbox: 0.8338, d1.loss_iou: 1.2225, d2.loss_cls: 2.1152, d2.loss_bbox: 0.8195, d2.loss_iou: 1.2067, d3.loss_cls: 2.0995, d3.loss_bbox: 0.8132, d3.loss_iou: 1.1981, d4.loss_cls: 2.0895, d4.loss_bbox: 0.8095, d4.loss_iou: 1.1946, loss: 24.8970, grad_norm: 15.7719 +2022-10-26 20:08:42,782 - mmdet - INFO - Epoch [8][850/1849] lr: 2.000e-04, eta: 3:00:26, time: 0.152, data_time: 0.004, memory: 4227, loss_cls: 2.0937, loss_bbox: 0.8122, loss_iou: 1.1930, d0.loss_cls: 2.1922, d0.loss_bbox: 0.8572, d0.loss_iou: 1.2387, d1.loss_cls: 2.1547, d1.loss_bbox: 0.8377, d1.loss_iou: 1.2222, d2.loss_cls: 2.1255, d2.loss_bbox: 0.8234, d2.loss_iou: 1.2067, d3.loss_cls: 2.1123, d3.loss_bbox: 0.8167, d3.loss_iou: 1.1985, d4.loss_cls: 2.1016, d4.loss_bbox: 0.8136, d4.loss_iou: 1.1946, loss: 24.9944, grad_norm: 15.2631 +2022-10-26 20:08:49,695 - mmdet - INFO - Epoch [8][900/1849] lr: 2.000e-04, eta: 3:00:19, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0919, loss_bbox: 0.8104, loss_iou: 1.1927, d0.loss_cls: 2.1922, d0.loss_bbox: 0.8549, d0.loss_iou: 1.2372, d1.loss_cls: 2.1568, d1.loss_bbox: 0.8371, d1.loss_iou: 1.2221, d2.loss_cls: 2.1250, d2.loss_bbox: 0.8230, d2.loss_iou: 1.2058, d3.loss_cls: 2.1095, d3.loss_bbox: 0.8152, d3.loss_iou: 1.1975, d4.loss_cls: 2.0979, d4.loss_bbox: 0.8119, d4.loss_iou: 1.1944, loss: 24.9756, grad_norm: 14.8902 +2022-10-26 20:08:56,461 - mmdet - INFO - Epoch [8][950/1849] lr: 2.000e-04, eta: 3:00:12, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.0958, loss_bbox: 0.8165, loss_iou: 1.1925, d0.loss_cls: 2.1946, d0.loss_bbox: 0.8614, d0.loss_iou: 1.2376, d1.loss_cls: 2.1568, d1.loss_bbox: 0.8419, d1.loss_iou: 1.2231, d2.loss_cls: 2.1255, d2.loss_bbox: 0.8275, d2.loss_iou: 1.2052, d3.loss_cls: 2.1127, d3.loss_bbox: 0.8212, d3.loss_iou: 1.1976, d4.loss_cls: 2.1025, d4.loss_bbox: 0.8178, d4.loss_iou: 1.1940, loss: 25.0242, grad_norm: 14.0585 +2022-10-26 20:09:03,639 - mmdet - INFO - Epoch [8][1000/1849] lr: 2.000e-04, eta: 3:00:06, time: 0.143, data_time: 0.004, memory: 4227, loss_cls: 2.0814, loss_bbox: 0.8099, loss_iou: 1.1935, d0.loss_cls: 2.1781, d0.loss_bbox: 0.8525, d0.loss_iou: 1.2381, d1.loss_cls: 2.1409, d1.loss_bbox: 0.8360, d1.loss_iou: 1.2230, d2.loss_cls: 2.1133, d2.loss_bbox: 0.8227, d2.loss_iou: 1.2067, d3.loss_cls: 2.0986, d3.loss_bbox: 0.8148, d3.loss_iou: 1.1983, d4.loss_cls: 2.0871, d4.loss_bbox: 0.8116, d4.loss_iou: 1.1951, loss: 24.9017, grad_norm: 15.9422 +2022-10-26 20:09:10,641 - mmdet - INFO - Epoch [8][1050/1849] lr: 2.000e-04, eta: 3:00:00, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.0980, loss_bbox: 0.8128, loss_iou: 1.1955, d0.loss_cls: 2.2008, d0.loss_bbox: 0.8575, d0.loss_iou: 1.2410, d1.loss_cls: 2.1569, d1.loss_bbox: 0.8388, d1.loss_iou: 1.2265, d2.loss_cls: 2.1296, d2.loss_bbox: 0.8260, d2.loss_iou: 1.2095, d3.loss_cls: 2.1159, d3.loss_bbox: 0.8193, d3.loss_iou: 1.2010, d4.loss_cls: 2.1026, d4.loss_bbox: 0.8149, d4.loss_iou: 1.1980, loss: 25.0446, grad_norm: 14.9220 +2022-10-26 20:09:17,693 - mmdet - INFO - Epoch [8][1100/1849] lr: 2.000e-04, eta: 2:59:54, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.1043, loss_bbox: 0.8138, loss_iou: 1.1971, d0.loss_cls: 2.2016, d0.loss_bbox: 0.8571, d0.loss_iou: 1.2408, d1.loss_cls: 2.1640, d1.loss_bbox: 0.8391, d1.loss_iou: 1.2253, d2.loss_cls: 2.1327, d2.loss_bbox: 0.8255, d2.loss_iou: 1.2093, d3.loss_cls: 2.1182, d3.loss_bbox: 0.8184, d3.loss_iou: 1.2025, d4.loss_cls: 2.1105, d4.loss_bbox: 0.8157, d4.loss_iou: 1.1982, loss: 25.0739, grad_norm: 14.2330 +2022-10-26 20:09:24,678 - mmdet - INFO - Epoch [8][1150/1849] lr: 2.000e-04, eta: 2:59:48, time: 0.140, data_time: 0.004, memory: 4227, loss_cls: 2.0950, loss_bbox: 0.8129, loss_iou: 1.1933, d0.loss_cls: 2.1890, d0.loss_bbox: 0.8567, d0.loss_iou: 1.2385, d1.loss_cls: 2.1526, d1.loss_bbox: 0.8386, d1.loss_iou: 1.2223, d2.loss_cls: 2.1237, d2.loss_bbox: 0.8252, d2.loss_iou: 1.2063, d3.loss_cls: 2.1111, d3.loss_bbox: 0.8176, d3.loss_iou: 1.1987, d4.loss_cls: 2.1016, d4.loss_bbox: 0.8141, d4.loss_iou: 1.1950, loss: 24.9923, grad_norm: 15.4288 +2022-10-26 20:09:31,323 - mmdet - INFO - Epoch [8][1200/1849] lr: 2.000e-04, eta: 2:59:40, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.1018, loss_bbox: 0.8137, loss_iou: 1.1934, d0.loss_cls: 2.1984, d0.loss_bbox: 0.8590, d0.loss_iou: 1.2390, d1.loss_cls: 2.1611, d1.loss_bbox: 0.8402, d1.loss_iou: 1.2228, d2.loss_cls: 2.1301, d2.loss_bbox: 0.8258, d2.loss_iou: 1.2063, d3.loss_cls: 2.1158, d3.loss_bbox: 0.8187, d3.loss_iou: 1.1985, d4.loss_cls: 2.1064, d4.loss_bbox: 0.8154, d4.loss_iou: 1.1952, loss: 25.0415, grad_norm: 14.8598 +2022-10-26 20:09:38,336 - mmdet - INFO - Epoch [8][1250/1849] lr: 2.000e-04, eta: 2:59:33, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.0887, loss_bbox: 0.8077, loss_iou: 1.1899, d0.loss_cls: 2.1872, d0.loss_bbox: 0.8535, d0.loss_iou: 1.2344, d1.loss_cls: 2.1526, d1.loss_bbox: 0.8334, d1.loss_iou: 1.2198, d2.loss_cls: 2.1205, d2.loss_bbox: 0.8188, d2.loss_iou: 1.2029, d3.loss_cls: 2.1084, d3.loss_bbox: 0.8120, d3.loss_iou: 1.1954, d4.loss_cls: 2.0956, d4.loss_bbox: 0.8090, d4.loss_iou: 1.1916, loss: 24.9213, grad_norm: 15.7527 +2022-10-26 20:09:45,396 - mmdet - INFO - Epoch [8][1300/1849] lr: 2.000e-04, eta: 2:59:28, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.0814, loss_bbox: 0.8097, loss_iou: 1.1863, d0.loss_cls: 2.1802, d0.loss_bbox: 0.8539, d0.loss_iou: 1.2334, d1.loss_cls: 2.1421, d1.loss_bbox: 0.8356, d1.loss_iou: 1.2176, d2.loss_cls: 2.1125, d2.loss_bbox: 0.8208, d2.loss_iou: 1.1992, d3.loss_cls: 2.1005, d3.loss_bbox: 0.8145, d3.loss_iou: 1.1916, d4.loss_cls: 2.0887, d4.loss_bbox: 0.8114, d4.loss_iou: 1.1878, loss: 24.8671, grad_norm: 14.6756 +2022-10-26 20:09:52,366 - mmdet - INFO - Epoch [8][1350/1849] lr: 2.000e-04, eta: 2:59:21, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.0924, loss_bbox: 0.8091, loss_iou: 1.1908, d0.loss_cls: 2.1869, d0.loss_bbox: 0.8536, d0.loss_iou: 1.2354, d1.loss_cls: 2.1514, d1.loss_bbox: 0.8333, d1.loss_iou: 1.2190, d2.loss_cls: 2.1221, d2.loss_bbox: 0.8199, d2.loss_iou: 1.2033, d3.loss_cls: 2.1069, d3.loss_bbox: 0.8125, d3.loss_iou: 1.1954, d4.loss_cls: 2.0987, d4.loss_bbox: 0.8098, d4.loss_iou: 1.1926, loss: 24.9331, grad_norm: 15.7738 +2022-10-26 20:09:59,292 - mmdet - INFO - Epoch [8][1400/1849] lr: 2.000e-04, eta: 2:59:14, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.0831, loss_bbox: 0.8073, loss_iou: 1.1933, d0.loss_cls: 2.1777, d0.loss_bbox: 0.8522, d0.loss_iou: 1.2396, d1.loss_cls: 2.1439, d1.loss_bbox: 0.8336, d1.loss_iou: 1.2239, d2.loss_cls: 2.1143, d2.loss_bbox: 0.8196, d2.loss_iou: 1.2070, d3.loss_cls: 2.0982, d3.loss_bbox: 0.8130, d3.loss_iou: 1.1982, d4.loss_cls: 2.0885, d4.loss_bbox: 0.8089, d4.loss_iou: 1.1947, loss: 24.8971, grad_norm: 15.1373 +2022-10-26 20:10:06,132 - mmdet - INFO - Epoch [8][1450/1849] lr: 2.000e-04, eta: 2:59:07, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0981, loss_bbox: 0.8124, loss_iou: 1.1919, d0.loss_cls: 2.1928, d0.loss_bbox: 0.8573, d0.loss_iou: 1.2375, d1.loss_cls: 2.1607, d1.loss_bbox: 0.8396, d1.loss_iou: 1.2212, d2.loss_cls: 2.1326, d2.loss_bbox: 0.8246, d2.loss_iou: 1.2053, d3.loss_cls: 2.1160, d3.loss_bbox: 0.8187, d3.loss_iou: 1.1978, d4.loss_cls: 2.1059, d4.loss_bbox: 0.8144, d4.loss_iou: 1.1943, loss: 25.0210, grad_norm: 14.1577 +2022-10-26 20:10:12,908 - mmdet - INFO - Epoch [8][1500/1849] lr: 2.000e-04, eta: 2:59:00, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.0946, loss_bbox: 0.8109, loss_iou: 1.1889, d0.loss_cls: 2.1895, d0.loss_bbox: 0.8566, d0.loss_iou: 1.2343, d1.loss_cls: 2.1564, d1.loss_bbox: 0.8367, d1.loss_iou: 1.2185, d2.loss_cls: 2.1276, d2.loss_bbox: 0.8214, d2.loss_iou: 1.2022, d3.loss_cls: 2.1122, d3.loss_bbox: 0.8157, d3.loss_iou: 1.1939, d4.loss_cls: 2.1006, d4.loss_bbox: 0.8124, d4.loss_iou: 1.1903, loss: 24.9626, grad_norm: 15.9287 +2022-10-26 20:10:19,560 - mmdet - INFO - Epoch [8][1550/1849] lr: 2.000e-04, eta: 2:58:52, time: 0.133, data_time: 0.004, memory: 4227, loss_cls: 2.0876, loss_bbox: 0.8117, loss_iou: 1.1933, d0.loss_cls: 2.1856, d0.loss_bbox: 0.8569, d0.loss_iou: 1.2387, d1.loss_cls: 2.1477, d1.loss_bbox: 0.8377, d1.loss_iou: 1.2230, d2.loss_cls: 2.1189, d2.loss_bbox: 0.8236, d2.loss_iou: 1.2061, d3.loss_cls: 2.1035, d3.loss_bbox: 0.8164, d3.loss_iou: 1.1990, d4.loss_cls: 2.0927, d4.loss_bbox: 0.8134, d4.loss_iou: 1.1947, loss: 24.9505, grad_norm: 15.0567 +2022-10-26 20:10:26,111 - mmdet - INFO - Epoch [8][1600/1849] lr: 2.000e-04, eta: 2:58:43, time: 0.131, data_time: 0.004, memory: 4227, loss_cls: 2.0924, loss_bbox: 0.8021, loss_iou: 1.1882, d0.loss_cls: 2.1878, d0.loss_bbox: 0.8478, d0.loss_iou: 1.2360, d1.loss_cls: 2.1526, d1.loss_bbox: 0.8281, d1.loss_iou: 1.2187, d2.loss_cls: 2.1216, d2.loss_bbox: 0.8144, d2.loss_iou: 1.2016, d3.loss_cls: 2.1077, d3.loss_bbox: 0.8070, d3.loss_iou: 1.1944, d4.loss_cls: 2.0952, d4.loss_bbox: 0.8036, d4.loss_iou: 1.1900, loss: 24.8892, grad_norm: 15.7169 +2022-10-26 20:10:33,020 - mmdet - INFO - Epoch [8][1650/1849] lr: 2.000e-04, eta: 2:58:36, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.0842, loss_bbox: 0.8100, loss_iou: 1.1881, d0.loss_cls: 2.1857, d0.loss_bbox: 0.8556, d0.loss_iou: 1.2335, d1.loss_cls: 2.1449, d1.loss_bbox: 0.8365, d1.loss_iou: 1.2199, d2.loss_cls: 2.1160, d2.loss_bbox: 0.8219, d2.loss_iou: 1.2018, d3.loss_cls: 2.1000, d3.loss_bbox: 0.8151, d3.loss_iou: 1.1931, d4.loss_cls: 2.0911, d4.loss_bbox: 0.8116, d4.loss_iou: 1.1900, loss: 24.8991, grad_norm: 15.0928 +2022-10-26 20:10:39,788 - mmdet - INFO - Epoch [8][1700/1849] lr: 2.000e-04, eta: 2:58:29, time: 0.135, data_time: 0.004, memory: 4227, loss_cls: 2.0934, loss_bbox: 0.8133, loss_iou: 1.1943, d0.loss_cls: 2.1940, d0.loss_bbox: 0.8586, d0.loss_iou: 1.2406, d1.loss_cls: 2.1545, d1.loss_bbox: 0.8396, d1.loss_iou: 1.2251, d2.loss_cls: 2.1231, d2.loss_bbox: 0.8254, d2.loss_iou: 1.2080, d3.loss_cls: 2.1094, d3.loss_bbox: 0.8170, d3.loss_iou: 1.1999, d4.loss_cls: 2.0990, d4.loss_bbox: 0.8141, d4.loss_iou: 1.1965, loss: 25.0058, grad_norm: 14.6802 +2022-10-26 20:10:46,326 - mmdet - INFO - Epoch [8][1750/1849] lr: 2.000e-04, eta: 2:58:20, time: 0.131, data_time: 0.004, memory: 4227, loss_cls: 2.1071, loss_bbox: 0.8064, loss_iou: 1.1885, d0.loss_cls: 2.1996, d0.loss_bbox: 0.8522, d0.loss_iou: 1.2356, d1.loss_cls: 2.1655, d1.loss_bbox: 0.8328, d1.loss_iou: 1.2208, d2.loss_cls: 2.1354, d2.loss_bbox: 0.8191, d2.loss_iou: 1.2038, d3.loss_cls: 2.1199, d3.loss_bbox: 0.8123, d3.loss_iou: 1.1959, d4.loss_cls: 2.1092, d4.loss_bbox: 0.8078, d4.loss_iou: 1.1912, loss: 25.0031, grad_norm: 14.6514 +2022-10-26 20:10:53,314 - mmdet - INFO - Epoch [8][1800/1849] lr: 2.000e-04, eta: 2:58:14, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.0689, loss_bbox: 0.8065, loss_iou: 1.1800, d0.loss_cls: 2.1687, d0.loss_bbox: 0.8522, d0.loss_iou: 1.2267, d1.loss_cls: 2.1313, d1.loss_bbox: 0.8339, d1.loss_iou: 1.2120, d2.loss_cls: 2.1023, d2.loss_bbox: 0.8188, d2.loss_iou: 1.1950, d3.loss_cls: 2.0853, d3.loss_bbox: 0.8115, d3.loss_iou: 1.1859, d4.loss_cls: 2.0759, d4.loss_bbox: 0.8088, d4.loss_iou: 1.1812, loss: 24.7447, grad_norm: 13.2045 +2022-10-26 20:11:00,293 - mmdet - INFO - Saving checkpoint at 8 epochs +2022-10-26 20:11:10,803 - mmdet - INFO - Epoch [9][50/1849] lr: 2.000e-04, eta: 2:57:41, time: 0.198, data_time: 0.064, memory: 4227, loss_cls: 2.0765, loss_bbox: 0.8055, loss_iou: 1.1892, d0.loss_cls: 2.1737, d0.loss_bbox: 0.8499, d0.loss_iou: 1.2355, d1.loss_cls: 2.1362, d1.loss_bbox: 0.8302, d1.loss_iou: 1.2196, d2.loss_cls: 2.1096, d2.loss_bbox: 0.8163, d2.loss_iou: 1.2026, d3.loss_cls: 2.0928, d3.loss_bbox: 0.8098, d3.loss_iou: 1.1945, d4.loss_cls: 2.0826, d4.loss_bbox: 0.8069, d4.loss_iou: 1.1910, loss: 24.8222, grad_norm: 15.0143 +2022-10-26 20:11:17,808 - mmdet - INFO - Epoch [9][100/1849] lr: 2.000e-04, eta: 2:57:34, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.0772, loss_bbox: 0.8056, loss_iou: 1.1898, d0.loss_cls: 2.1711, d0.loss_bbox: 0.8501, d0.loss_iou: 1.2339, d1.loss_cls: 2.1381, d1.loss_bbox: 0.8317, d1.loss_iou: 1.2198, d2.loss_cls: 2.1063, d2.loss_bbox: 0.8178, d2.loss_iou: 1.2030, d3.loss_cls: 2.0946, d3.loss_bbox: 0.8106, d3.loss_iou: 1.1961, d4.loss_cls: 2.0818, d4.loss_bbox: 0.8071, d4.loss_iou: 1.1928, loss: 24.8272, grad_norm: 15.2082 +2022-10-26 20:11:24,674 - mmdet - INFO - Epoch [9][150/1849] lr: 2.000e-04, eta: 2:57:28, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0614, loss_bbox: 0.8016, loss_iou: 1.1853, d0.loss_cls: 2.1573, d0.loss_bbox: 0.8487, d0.loss_iou: 1.2309, d1.loss_cls: 2.1186, d1.loss_bbox: 0.8282, d1.loss_iou: 1.2148, d2.loss_cls: 2.0892, d2.loss_bbox: 0.8134, d2.loss_iou: 1.1981, d3.loss_cls: 2.0770, d3.loss_bbox: 0.8065, d3.loss_iou: 1.1904, d4.loss_cls: 2.0665, d4.loss_bbox: 0.8037, d4.loss_iou: 1.1871, loss: 24.6786, grad_norm: 16.0152 +2022-10-26 20:11:31,793 - mmdet - INFO - Epoch [9][200/1849] lr: 2.000e-04, eta: 2:57:22, time: 0.142, data_time: 0.005, memory: 4227, loss_cls: 2.0567, loss_bbox: 0.8064, loss_iou: 1.1859, d0.loss_cls: 2.1506, d0.loss_bbox: 0.8523, d0.loss_iou: 1.2317, d1.loss_cls: 2.1174, d1.loss_bbox: 0.8330, d1.loss_iou: 1.2159, d2.loss_cls: 2.0869, d2.loss_bbox: 0.8185, d2.loss_iou: 1.1991, d3.loss_cls: 2.0732, d3.loss_bbox: 0.8111, d3.loss_iou: 1.1912, d4.loss_cls: 2.0622, d4.loss_bbox: 0.8078, d4.loss_iou: 1.1885, loss: 24.6884, grad_norm: 13.5320 +2022-10-26 20:11:38,929 - mmdet - INFO - Epoch [9][250/1849] lr: 2.000e-04, eta: 2:57:17, time: 0.143, data_time: 0.005, memory: 4227, loss_cls: 2.0682, loss_bbox: 0.8047, loss_iou: 1.1861, d0.loss_cls: 2.1633, d0.loss_bbox: 0.8502, d0.loss_iou: 1.2322, d1.loss_cls: 2.1300, d1.loss_bbox: 0.8310, d1.loss_iou: 1.2173, d2.loss_cls: 2.1013, d2.loss_bbox: 0.8166, d2.loss_iou: 1.1990, d3.loss_cls: 2.0850, d3.loss_bbox: 0.8099, d3.loss_iou: 1.1911, d4.loss_cls: 2.0725, d4.loss_bbox: 0.8061, d4.loss_iou: 1.1877, loss: 24.7522, grad_norm: 15.4624 +2022-10-26 20:11:46,305 - mmdet - INFO - Epoch [9][300/1849] lr: 2.000e-04, eta: 2:57:12, time: 0.148, data_time: 0.005, memory: 4227, loss_cls: 2.0872, loss_bbox: 0.8102, loss_iou: 1.1910, d0.loss_cls: 2.1854, d0.loss_bbox: 0.8536, d0.loss_iou: 1.2371, d1.loss_cls: 2.1491, d1.loss_bbox: 0.8356, d1.loss_iou: 1.2216, d2.loss_cls: 2.1200, d2.loss_bbox: 0.8211, d2.loss_iou: 1.2049, d3.loss_cls: 2.1023, d3.loss_bbox: 0.8143, d3.loss_iou: 1.1971, d4.loss_cls: 2.0923, d4.loss_bbox: 0.8109, d4.loss_iou: 1.1930, loss: 24.9270, grad_norm: 15.3269 +2022-10-26 20:11:53,196 - mmdet - INFO - Epoch [9][350/1849] lr: 2.000e-04, eta: 2:57:05, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0784, loss_bbox: 0.8089, loss_iou: 1.1866, d0.loss_cls: 2.1729, d0.loss_bbox: 0.8548, d0.loss_iou: 1.2334, d1.loss_cls: 2.1393, d1.loss_bbox: 0.8356, d1.loss_iou: 1.2168, d2.loss_cls: 2.1088, d2.loss_bbox: 0.8210, d2.loss_iou: 1.2004, d3.loss_cls: 2.0928, d3.loss_bbox: 0.8144, d3.loss_iou: 1.1919, d4.loss_cls: 2.0813, d4.loss_bbox: 0.8105, d4.loss_iou: 1.1888, loss: 24.8365, grad_norm: 15.3285 +2022-10-26 20:12:00,098 - mmdet - INFO - Epoch [9][400/1849] lr: 2.000e-04, eta: 2:56:59, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0783, loss_bbox: 0.8089, loss_iou: 1.1894, d0.loss_cls: 2.1725, d0.loss_bbox: 0.8526, d0.loss_iou: 1.2356, d1.loss_cls: 2.1391, d1.loss_bbox: 0.8347, d1.loss_iou: 1.2202, d2.loss_cls: 2.1114, d2.loss_bbox: 0.8209, d2.loss_iou: 1.2038, d3.loss_cls: 2.0960, d3.loss_bbox: 0.8129, d3.loss_iou: 1.1960, d4.loss_cls: 2.0854, d4.loss_bbox: 0.8100, d4.loss_iou: 1.1924, loss: 24.8601, grad_norm: 15.4012 +2022-10-26 20:12:06,960 - mmdet - INFO - Epoch [9][450/1849] lr: 2.000e-04, eta: 2:56:52, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0668, loss_bbox: 0.8051, loss_iou: 1.1877, d0.loss_cls: 2.1656, d0.loss_bbox: 0.8483, d0.loss_iou: 1.2331, d1.loss_cls: 2.1293, d1.loss_bbox: 0.8306, d1.loss_iou: 1.2176, d2.loss_cls: 2.1009, d2.loss_bbox: 0.8164, d2.loss_iou: 1.2006, d3.loss_cls: 2.0856, d3.loss_bbox: 0.8095, d3.loss_iou: 1.1932, d4.loss_cls: 2.0729, d4.loss_bbox: 0.8065, d4.loss_iou: 1.1891, loss: 24.7588, grad_norm: 13.5674 +2022-10-26 20:12:13,914 - mmdet - INFO - Epoch [9][500/1849] lr: 2.000e-04, eta: 2:56:45, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.0847, loss_bbox: 0.8100, loss_iou: 1.1871, d0.loss_cls: 2.1768, d0.loss_bbox: 0.8548, d0.loss_iou: 1.2325, d1.loss_cls: 2.1413, d1.loss_bbox: 0.8357, d1.loss_iou: 1.2172, d2.loss_cls: 2.1144, d2.loss_bbox: 0.8220, d2.loss_iou: 1.2012, d3.loss_cls: 2.1004, d3.loss_bbox: 0.8159, d3.loss_iou: 1.1930, d4.loss_cls: 2.0896, d4.loss_bbox: 0.8123, d4.loss_iou: 1.1892, loss: 24.8781, grad_norm: 14.5055 +2022-10-26 20:12:20,881 - mmdet - INFO - Epoch [9][550/1849] lr: 2.000e-04, eta: 2:56:39, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.0677, loss_bbox: 0.8014, loss_iou: 1.1825, d0.loss_cls: 2.1636, d0.loss_bbox: 0.8467, d0.loss_iou: 1.2283, d1.loss_cls: 2.1274, d1.loss_bbox: 0.8281, d1.loss_iou: 1.2137, d2.loss_cls: 2.0999, d2.loss_bbox: 0.8134, d2.loss_iou: 1.1962, d3.loss_cls: 2.0857, d3.loss_bbox: 0.8055, d3.loss_iou: 1.1881, d4.loss_cls: 2.0748, d4.loss_bbox: 0.8026, d4.loss_iou: 1.1844, loss: 24.7102, grad_norm: 13.7196 +2022-10-26 20:12:28,058 - mmdet - INFO - Epoch [9][600/1849] lr: 2.000e-04, eta: 2:56:34, time: 0.144, data_time: 0.004, memory: 4227, loss_cls: 2.0777, loss_bbox: 0.8042, loss_iou: 1.1861, d0.loss_cls: 2.1753, d0.loss_bbox: 0.8475, d0.loss_iou: 1.2315, d1.loss_cls: 2.1338, d1.loss_bbox: 0.8299, d1.loss_iou: 1.2163, d2.loss_cls: 2.1063, d2.loss_bbox: 0.8160, d2.loss_iou: 1.1997, d3.loss_cls: 2.0939, d3.loss_bbox: 0.8096, d3.loss_iou: 1.1914, d4.loss_cls: 2.0835, d4.loss_bbox: 0.8053, d4.loss_iou: 1.1881, loss: 24.7959, grad_norm: 14.3551 +2022-10-26 20:12:34,920 - mmdet - INFO - Epoch [9][650/1849] lr: 2.000e-04, eta: 2:56:27, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0916, loss_bbox: 0.8052, loss_iou: 1.1867, d0.loss_cls: 2.1875, d0.loss_bbox: 0.8516, d0.loss_iou: 1.2334, d1.loss_cls: 2.1493, d1.loss_bbox: 0.8333, d1.loss_iou: 1.2168, d2.loss_cls: 2.1233, d2.loss_bbox: 0.8181, d2.loss_iou: 1.1998, d3.loss_cls: 2.1071, d3.loss_bbox: 0.8105, d3.loss_iou: 1.1928, d4.loss_cls: 2.0970, d4.loss_bbox: 0.8068, d4.loss_iou: 1.1885, loss: 24.8993, grad_norm: 13.2343 +2022-10-26 20:12:41,972 - mmdet - INFO - Epoch [9][700/1849] lr: 2.000e-04, eta: 2:56:21, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0938, loss_bbox: 0.8077, loss_iou: 1.1887, d0.loss_cls: 2.1909, d0.loss_bbox: 0.8522, d0.loss_iou: 1.2353, d1.loss_cls: 2.1564, d1.loss_bbox: 0.8339, d1.loss_iou: 1.2187, d2.loss_cls: 2.1266, d2.loss_bbox: 0.8207, d2.loss_iou: 1.2014, d3.loss_cls: 2.1127, d3.loss_bbox: 0.8130, d3.loss_iou: 1.1935, d4.loss_cls: 2.1012, d4.loss_bbox: 0.8095, d4.loss_iou: 1.1901, loss: 24.9462, grad_norm: 14.6797 +2022-10-26 20:12:48,672 - mmdet - INFO - Epoch [9][750/1849] lr: 2.000e-04, eta: 2:56:13, time: 0.134, data_time: 0.004, memory: 4227, loss_cls: 2.0791, loss_bbox: 0.8077, loss_iou: 1.1902, d0.loss_cls: 2.1754, d0.loss_bbox: 0.8507, d0.loss_iou: 1.2362, d1.loss_cls: 2.1358, d1.loss_bbox: 0.8329, d1.loss_iou: 1.2205, d2.loss_cls: 2.1099, d2.loss_bbox: 0.8188, d2.loss_iou: 1.2032, d3.loss_cls: 2.0942, d3.loss_bbox: 0.8122, d3.loss_iou: 1.1958, d4.loss_cls: 2.0844, d4.loss_bbox: 0.8094, d4.loss_iou: 1.1913, loss: 24.8478, grad_norm: 14.2976 +2022-10-26 20:12:55,796 - mmdet - INFO - Epoch [9][800/1849] lr: 2.000e-04, eta: 2:56:07, time: 0.142, data_time: 0.005, memory: 4227, loss_cls: 2.0849, loss_bbox: 0.8070, loss_iou: 1.1879, d0.loss_cls: 2.1793, d0.loss_bbox: 0.8512, d0.loss_iou: 1.2343, d1.loss_cls: 2.1500, d1.loss_bbox: 0.8341, d1.loss_iou: 1.2187, d2.loss_cls: 2.1188, d2.loss_bbox: 0.8197, d2.loss_iou: 1.2030, d3.loss_cls: 2.1025, d3.loss_bbox: 0.8123, d3.loss_iou: 1.1937, d4.loss_cls: 2.0906, d4.loss_bbox: 0.8093, d4.loss_iou: 1.1897, loss: 24.8871, grad_norm: 14.8895 +2022-10-26 20:13:02,814 - mmdet - INFO - Epoch [9][850/1849] lr: 2.000e-04, eta: 2:56:01, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0740, loss_bbox: 0.8046, loss_iou: 1.1898, d0.loss_cls: 2.1665, d0.loss_bbox: 0.8502, d0.loss_iou: 1.2368, d1.loss_cls: 2.1330, d1.loss_bbox: 0.8314, d1.loss_iou: 1.2201, d2.loss_cls: 2.1032, d2.loss_bbox: 0.8174, d2.loss_iou: 1.2031, d3.loss_cls: 2.0895, d3.loss_bbox: 0.8102, d3.loss_iou: 1.1950, d4.loss_cls: 2.0776, d4.loss_bbox: 0.8060, d4.loss_iou: 1.1922, loss: 24.8008, grad_norm: 15.0247 +2022-10-26 20:13:09,730 - mmdet - INFO - Epoch [9][900/1849] lr: 2.000e-04, eta: 2:55:54, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.0800, loss_bbox: 0.8081, loss_iou: 1.1870, d0.loss_cls: 2.1747, d0.loss_bbox: 0.8533, d0.loss_iou: 1.2340, d1.loss_cls: 2.1385, d1.loss_bbox: 0.8335, d1.loss_iou: 1.2187, d2.loss_cls: 2.1098, d2.loss_bbox: 0.8202, d2.loss_iou: 1.2021, d3.loss_cls: 2.0964, d3.loss_bbox: 0.8129, d3.loss_iou: 1.1935, d4.loss_cls: 2.0867, d4.loss_bbox: 0.8098, d4.loss_iou: 1.1896, loss: 24.8489, grad_norm: 15.0096 +2022-10-26 20:13:16,615 - mmdet - INFO - Epoch [9][950/1849] lr: 2.000e-04, eta: 2:55:48, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.0761, loss_bbox: 0.8032, loss_iou: 1.1846, d0.loss_cls: 2.1735, d0.loss_bbox: 0.8490, d0.loss_iou: 1.2299, d1.loss_cls: 2.1380, d1.loss_bbox: 0.8300, d1.loss_iou: 1.2152, d2.loss_cls: 2.1078, d2.loss_bbox: 0.8155, d2.loss_iou: 1.1980, d3.loss_cls: 2.0932, d3.loss_bbox: 0.8088, d3.loss_iou: 1.1908, d4.loss_cls: 2.0809, d4.loss_bbox: 0.8048, d4.loss_iou: 1.1865, loss: 24.7858, grad_norm: 16.0395 +2022-10-26 20:13:23,731 - mmdet - INFO - Epoch [9][1000/1849] lr: 2.000e-04, eta: 2:55:42, time: 0.142, data_time: 0.004, memory: 4227, loss_cls: 2.0636, loss_bbox: 0.8034, loss_iou: 1.1834, d0.loss_cls: 2.1598, d0.loss_bbox: 0.8487, d0.loss_iou: 1.2299, d1.loss_cls: 2.1270, d1.loss_bbox: 0.8297, d1.loss_iou: 1.2142, d2.loss_cls: 2.0957, d2.loss_bbox: 0.8155, d2.loss_iou: 1.1968, d3.loss_cls: 2.0811, d3.loss_bbox: 0.8079, d3.loss_iou: 1.1888, d4.loss_cls: 2.0691, d4.loss_bbox: 0.8049, d4.loss_iou: 1.1851, loss: 24.7048, grad_norm: 15.9627 +2022-10-26 20:13:30,828 - mmdet - INFO - Epoch [9][1050/1849] lr: 2.000e-04, eta: 2:55:36, time: 0.142, data_time: 0.004, memory: 4227, loss_cls: 2.0707, loss_bbox: 0.8049, loss_iou: 1.1878, d0.loss_cls: 2.1635, d0.loss_bbox: 0.8509, d0.loss_iou: 1.2350, d1.loss_cls: 2.1280, d1.loss_bbox: 0.8316, d1.loss_iou: 1.2175, d2.loss_cls: 2.0985, d2.loss_bbox: 0.8171, d2.loss_iou: 1.2019, d3.loss_cls: 2.0873, d3.loss_bbox: 0.8107, d3.loss_iou: 1.1937, d4.loss_cls: 2.0757, d4.loss_bbox: 0.8071, d4.loss_iou: 1.1899, loss: 24.7720, grad_norm: 15.2217 +2022-10-26 20:13:37,765 - mmdet - INFO - Epoch [9][1100/1849] lr: 2.000e-04, eta: 2:55:29, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.0778, loss_bbox: 0.8069, loss_iou: 1.1887, d0.loss_cls: 2.1718, d0.loss_bbox: 0.8519, d0.loss_iou: 1.2360, d1.loss_cls: 2.1351, d1.loss_bbox: 0.8330, d1.loss_iou: 1.2202, d2.loss_cls: 2.1086, d2.loss_bbox: 0.8182, d2.loss_iou: 1.2025, d3.loss_cls: 2.0944, d3.loss_bbox: 0.8115, d3.loss_iou: 1.1954, d4.loss_cls: 2.0858, d4.loss_bbox: 0.8086, d4.loss_iou: 1.1909, loss: 24.8374, grad_norm: 14.6261 +2022-10-26 20:13:44,659 - mmdet - INFO - Epoch [9][1150/1849] lr: 2.000e-04, eta: 2:55:23, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.1041, loss_bbox: 0.8067, loss_iou: 1.1844, d0.loss_cls: 2.1993, d0.loss_bbox: 0.8512, d0.loss_iou: 1.2301, d1.loss_cls: 2.1599, d1.loss_bbox: 0.8324, d1.loss_iou: 1.2155, d2.loss_cls: 2.1327, d2.loss_bbox: 0.8183, d2.loss_iou: 1.1986, d3.loss_cls: 2.1205, d3.loss_bbox: 0.8119, d3.loss_iou: 1.1900, d4.loss_cls: 2.1101, d4.loss_bbox: 0.8084, d4.loss_iou: 1.1865, loss: 24.9607, grad_norm: 14.4638 +2022-10-26 20:13:51,567 - mmdet - INFO - Epoch [9][1200/1849] lr: 2.000e-04, eta: 2:55:16, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.0925, loss_bbox: 0.8078, loss_iou: 1.1883, d0.loss_cls: 2.1881, d0.loss_bbox: 0.8528, d0.loss_iou: 1.2352, d1.loss_cls: 2.1512, d1.loss_bbox: 0.8336, d1.loss_iou: 1.2198, d2.loss_cls: 2.1215, d2.loss_bbox: 0.8192, d2.loss_iou: 1.2023, d3.loss_cls: 2.1077, d3.loss_bbox: 0.8120, d3.loss_iou: 1.1942, d4.loss_cls: 2.0976, d4.loss_bbox: 0.8086, d4.loss_iou: 1.1909, loss: 24.9233, grad_norm: 13.5029 +2022-10-26 20:13:58,777 - mmdet - INFO - Epoch [9][1250/1849] lr: 2.000e-04, eta: 2:55:11, time: 0.144, data_time: 0.004, memory: 4227, loss_cls: 2.0718, loss_bbox: 0.8024, loss_iou: 1.1839, d0.loss_cls: 2.1709, d0.loss_bbox: 0.8495, d0.loss_iou: 1.2319, d1.loss_cls: 2.1328, d1.loss_bbox: 0.8315, d1.loss_iou: 1.2152, d2.loss_cls: 2.1034, d2.loss_bbox: 0.8153, d2.loss_iou: 1.1977, d3.loss_cls: 2.0887, d3.loss_bbox: 0.8075, d3.loss_iou: 1.1895, d4.loss_cls: 2.0777, d4.loss_bbox: 0.8042, d4.loss_iou: 1.1860, loss: 24.7600, grad_norm: 14.2721 +2022-10-26 20:14:05,703 - mmdet - INFO - Epoch [9][1300/1849] lr: 2.000e-04, eta: 2:55:04, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.0713, loss_bbox: 0.8017, loss_iou: 1.1824, d0.loss_cls: 2.1703, d0.loss_bbox: 0.8468, d0.loss_iou: 1.2286, d1.loss_cls: 2.1326, d1.loss_bbox: 0.8283, d1.loss_iou: 1.2130, d2.loss_cls: 2.1032, d2.loss_bbox: 0.8135, d2.loss_iou: 1.1969, d3.loss_cls: 2.0885, d3.loss_bbox: 0.8070, d3.loss_iou: 1.1876, d4.loss_cls: 2.0781, d4.loss_bbox: 0.8035, d4.loss_iou: 1.1838, loss: 24.7372, grad_norm: 14.6588 +2022-10-26 20:14:12,576 - mmdet - INFO - Epoch [9][1350/1849] lr: 2.000e-04, eta: 2:54:57, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.0680, loss_bbox: 0.8036, loss_iou: 1.1907, d0.loss_cls: 2.1632, d0.loss_bbox: 0.8494, d0.loss_iou: 1.2369, d1.loss_cls: 2.1280, d1.loss_bbox: 0.8309, d1.loss_iou: 1.2215, d2.loss_cls: 2.0976, d2.loss_bbox: 0.8178, d2.loss_iou: 1.2051, d3.loss_cls: 2.0860, d3.loss_bbox: 0.8095, d3.loss_iou: 1.1973, d4.loss_cls: 2.0733, d4.loss_bbox: 0.8059, d4.loss_iou: 1.1927, loss: 24.7775, grad_norm: 16.0131 +2022-10-26 20:14:19,445 - mmdet - INFO - Epoch [9][1400/1849] lr: 2.000e-04, eta: 2:54:50, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.0748, loss_bbox: 0.8042, loss_iou: 1.1818, d0.loss_cls: 2.1687, d0.loss_bbox: 0.8498, d0.loss_iou: 1.2303, d1.loss_cls: 2.1358, d1.loss_bbox: 0.8306, d1.loss_iou: 1.2130, d2.loss_cls: 2.1045, d2.loss_bbox: 0.8162, d2.loss_iou: 1.1957, d3.loss_cls: 2.0919, d3.loss_bbox: 0.8091, d3.loss_iou: 1.1877, d4.loss_cls: 2.0806, d4.loss_bbox: 0.8055, d4.loss_iou: 1.1840, loss: 24.7639, grad_norm: 14.3867 +2022-10-26 20:14:26,297 - mmdet - INFO - Epoch [9][1450/1849] lr: 2.000e-04, eta: 2:54:43, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0709, loss_bbox: 0.8010, loss_iou: 1.1834, d0.loss_cls: 2.1659, d0.loss_bbox: 0.8479, d0.loss_iou: 1.2317, d1.loss_cls: 2.1329, d1.loss_bbox: 0.8281, d1.loss_iou: 1.2152, d2.loss_cls: 2.1013, d2.loss_bbox: 0.8133, d2.loss_iou: 1.1972, d3.loss_cls: 2.0879, d3.loss_bbox: 0.8071, d3.loss_iou: 1.1895, d4.loss_cls: 2.0781, d4.loss_bbox: 0.8029, d4.loss_iou: 1.1852, loss: 24.7392, grad_norm: 13.6277 +2022-10-26 20:14:33,393 - mmdet - INFO - Epoch [9][1500/1849] lr: 2.000e-04, eta: 2:54:37, time: 0.142, data_time: 0.004, memory: 4227, loss_cls: 2.0756, loss_bbox: 0.8020, loss_iou: 1.1825, d0.loss_cls: 2.1697, d0.loss_bbox: 0.8488, d0.loss_iou: 1.2300, d1.loss_cls: 2.1318, d1.loss_bbox: 0.8293, d1.loss_iou: 1.2144, d2.loss_cls: 2.1013, d2.loss_bbox: 0.8153, d2.loss_iou: 1.1974, d3.loss_cls: 2.0925, d3.loss_bbox: 0.8075, d3.loss_iou: 1.1885, d4.loss_cls: 2.0817, d4.loss_bbox: 0.8040, d4.loss_iou: 1.1840, loss: 24.7563, grad_norm: 14.2524 +2022-10-26 20:14:40,415 - mmdet - INFO - Epoch [9][1550/1849] lr: 2.000e-04, eta: 2:54:31, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.0655, loss_bbox: 0.7973, loss_iou: 1.1784, d0.loss_cls: 2.1573, d0.loss_bbox: 0.8450, d0.loss_iou: 1.2266, d1.loss_cls: 2.1232, d1.loss_bbox: 0.8248, d1.loss_iou: 1.2093, d2.loss_cls: 2.0947, d2.loss_bbox: 0.8101, d2.loss_iou: 1.1924, d3.loss_cls: 2.0807, d3.loss_bbox: 0.8025, d3.loss_iou: 1.1839, d4.loss_cls: 2.0707, d4.loss_bbox: 0.7988, d4.loss_iou: 1.1807, loss: 24.6418, grad_norm: 14.5253 +2022-10-26 20:14:47,388 - mmdet - INFO - Epoch [9][1600/1849] lr: 2.000e-04, eta: 2:54:25, time: 0.139, data_time: 0.004, memory: 4227, loss_cls: 2.0646, loss_bbox: 0.8045, loss_iou: 1.1878, d0.loss_cls: 2.1606, d0.loss_bbox: 0.8493, d0.loss_iou: 1.2342, d1.loss_cls: 2.1233, d1.loss_bbox: 0.8288, d1.loss_iou: 1.2172, d2.loss_cls: 2.0930, d2.loss_bbox: 0.8155, d2.loss_iou: 1.2019, d3.loss_cls: 2.0817, d3.loss_bbox: 0.8081, d3.loss_iou: 1.1933, d4.loss_cls: 2.0702, d4.loss_bbox: 0.8051, d4.loss_iou: 1.1898, loss: 24.7289, grad_norm: 14.9955 +2022-10-26 20:14:54,290 - mmdet - INFO - Epoch [9][1650/1849] lr: 2.000e-04, eta: 2:54:18, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.0726, loss_bbox: 0.8078, loss_iou: 1.1793, d0.loss_cls: 2.1694, d0.loss_bbox: 0.8527, d0.loss_iou: 1.2256, d1.loss_cls: 2.1316, d1.loss_bbox: 0.8338, d1.loss_iou: 1.2101, d2.loss_cls: 2.1027, d2.loss_bbox: 0.8209, d2.loss_iou: 1.1935, d3.loss_cls: 2.0897, d3.loss_bbox: 0.8132, d3.loss_iou: 1.1855, d4.loss_cls: 2.0785, d4.loss_bbox: 0.8092, d4.loss_iou: 1.1818, loss: 24.7579, grad_norm: 14.6194 +2022-10-26 20:15:01,123 - mmdet - INFO - Epoch [9][1700/1849] lr: 2.000e-04, eta: 2:54:11, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0733, loss_bbox: 0.8033, loss_iou: 1.1850, d0.loss_cls: 2.1672, d0.loss_bbox: 0.8501, d0.loss_iou: 1.2328, d1.loss_cls: 2.1280, d1.loss_bbox: 0.8305, d1.loss_iou: 1.2168, d2.loss_cls: 2.1028, d2.loss_bbox: 0.8153, d2.loss_iou: 1.1994, d3.loss_cls: 2.0893, d3.loss_bbox: 0.8083, d3.loss_iou: 1.1910, d4.loss_cls: 2.0773, d4.loss_bbox: 0.8046, d4.loss_iou: 1.1874, loss: 24.7623, grad_norm: 15.2959 +2022-10-26 20:15:08,016 - mmdet - INFO - Epoch [9][1750/1849] lr: 2.000e-04, eta: 2:54:04, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.0714, loss_bbox: 0.8028, loss_iou: 1.1815, d0.loss_cls: 2.1668, d0.loss_bbox: 0.8484, d0.loss_iou: 1.2292, d1.loss_cls: 2.1304, d1.loss_bbox: 0.8296, d1.loss_iou: 1.2132, d2.loss_cls: 2.1025, d2.loss_bbox: 0.8150, d2.loss_iou: 1.1965, d3.loss_cls: 2.0865, d3.loss_bbox: 0.8079, d3.loss_iou: 1.1887, d4.loss_cls: 2.0756, d4.loss_bbox: 0.8041, d4.loss_iou: 1.1847, loss: 24.7347, grad_norm: 14.2013 +2022-10-26 20:15:14,849 - mmdet - INFO - Epoch [9][1800/1849] lr: 2.000e-04, eta: 2:53:57, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.0748, loss_bbox: 0.8072, loss_iou: 1.1839, d0.loss_cls: 2.1711, d0.loss_bbox: 0.8537, d0.loss_iou: 1.2303, d1.loss_cls: 2.1333, d1.loss_bbox: 0.8346, d1.loss_iou: 1.2142, d2.loss_cls: 2.1079, d2.loss_bbox: 0.8201, d2.loss_iou: 1.1974, d3.loss_cls: 2.0923, d3.loss_bbox: 0.8129, d3.loss_iou: 1.1894, d4.loss_cls: 2.0811, d4.loss_bbox: 0.8087, d4.loss_iou: 1.1860, loss: 24.7988, grad_norm: 15.7024 +2022-10-26 20:15:21,859 - mmdet - INFO - Saving checkpoint at 9 epochs +2022-10-26 20:15:32,569 - mmdet - INFO - Epoch [10][50/1849] lr: 2.000e-04, eta: 2:53:27, time: 0.202, data_time: 0.064, memory: 4227, loss_cls: 2.0485, loss_bbox: 0.7963, loss_iou: 1.1754, d0.loss_cls: 2.1443, d0.loss_bbox: 0.8429, d0.loss_iou: 1.2228, d1.loss_cls: 2.1104, d1.loss_bbox: 0.8240, d1.loss_iou: 1.2086, d2.loss_cls: 2.0810, d2.loss_bbox: 0.8097, d2.loss_iou: 1.1918, d3.loss_cls: 2.0654, d3.loss_bbox: 0.8017, d3.loss_iou: 1.1830, d4.loss_cls: 2.0547, d4.loss_bbox: 0.7977, d4.loss_iou: 1.1780, loss: 24.5364, grad_norm: 14.2624 +2022-10-26 20:15:39,576 - mmdet - INFO - Epoch [10][100/1849] lr: 2.000e-04, eta: 2:53:21, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.0620, loss_bbox: 0.8014, loss_iou: 1.1858, d0.loss_cls: 2.1581, d0.loss_bbox: 0.8465, d0.loss_iou: 1.2307, d1.loss_cls: 2.1239, d1.loss_bbox: 0.8272, d1.loss_iou: 1.2151, d2.loss_cls: 2.0948, d2.loss_bbox: 0.8134, d2.loss_iou: 1.1993, d3.loss_cls: 2.0785, d3.loss_bbox: 0.8064, d3.loss_iou: 1.1917, d4.loss_cls: 2.0681, d4.loss_bbox: 0.8032, d4.loss_iou: 1.1876, loss: 24.6938, grad_norm: 15.6180 +2022-10-26 20:15:46,602 - mmdet - INFO - Epoch [10][150/1849] lr: 2.000e-04, eta: 2:53:15, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0604, loss_bbox: 0.8036, loss_iou: 1.1845, d0.loss_cls: 2.1572, d0.loss_bbox: 0.8515, d0.loss_iou: 1.2324, d1.loss_cls: 2.1201, d1.loss_bbox: 0.8309, d1.loss_iou: 1.2162, d2.loss_cls: 2.0886, d2.loss_bbox: 0.8171, d2.loss_iou: 1.1998, d3.loss_cls: 2.0754, d3.loss_bbox: 0.8094, d3.loss_iou: 1.1922, d4.loss_cls: 2.0652, d4.loss_bbox: 0.8053, d4.loss_iou: 1.1863, loss: 24.6963, grad_norm: 15.3182 +2022-10-26 20:15:53,636 - mmdet - INFO - Epoch [10][200/1849] lr: 2.000e-04, eta: 2:53:09, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0697, loss_bbox: 0.8063, loss_iou: 1.1875, d0.loss_cls: 2.1635, d0.loss_bbox: 0.8519, d0.loss_iou: 1.2338, d1.loss_cls: 2.1276, d1.loss_bbox: 0.8323, d1.loss_iou: 1.2162, d2.loss_cls: 2.0993, d2.loss_bbox: 0.8188, d2.loss_iou: 1.2008, d3.loss_cls: 2.0857, d3.loss_bbox: 0.8114, d3.loss_iou: 1.1927, d4.loss_cls: 2.0768, d4.loss_bbox: 0.8081, d4.loss_iou: 1.1892, loss: 24.7715, grad_norm: 14.1913 +2022-10-26 20:16:00,502 - mmdet - INFO - Epoch [10][250/1849] lr: 2.000e-04, eta: 2:53:02, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0541, loss_bbox: 0.7980, loss_iou: 1.1843, d0.loss_cls: 2.1541, d0.loss_bbox: 0.8461, d0.loss_iou: 1.2326, d1.loss_cls: 2.1172, d1.loss_bbox: 0.8258, d1.loss_iou: 1.2156, d2.loss_cls: 2.0850, d2.loss_bbox: 0.8114, d2.loss_iou: 1.1983, d3.loss_cls: 2.0713, d3.loss_bbox: 0.8034, d3.loss_iou: 1.1905, d4.loss_cls: 2.0607, d4.loss_bbox: 0.7999, d4.loss_iou: 1.1865, loss: 24.6347, grad_norm: 16.6121 +2022-10-26 20:16:07,416 - mmdet - INFO - Epoch [10][300/1849] lr: 2.000e-04, eta: 2:52:55, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0596, loss_bbox: 0.7994, loss_iou: 1.1775, d0.loss_cls: 2.1567, d0.loss_bbox: 0.8445, d0.loss_iou: 1.2265, d1.loss_cls: 2.1220, d1.loss_bbox: 0.8250, d1.loss_iou: 1.2091, d2.loss_cls: 2.0940, d2.loss_bbox: 0.8116, d2.loss_iou: 1.1921, d3.loss_cls: 2.0793, d3.loss_bbox: 0.8038, d3.loss_iou: 1.1828, d4.loss_cls: 2.0675, d4.loss_bbox: 0.8008, d4.loss_iou: 1.1791, loss: 24.6313, grad_norm: 13.7541 +2022-10-26 20:16:14,216 - mmdet - INFO - Epoch [10][350/1849] lr: 2.000e-04, eta: 2:52:48, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.0662, loss_bbox: 0.8021, loss_iou: 1.1836, d0.loss_cls: 2.1650, d0.loss_bbox: 0.8507, d0.loss_iou: 1.2315, d1.loss_cls: 2.1291, d1.loss_bbox: 0.8306, d1.loss_iou: 1.2154, d2.loss_cls: 2.0989, d2.loss_bbox: 0.8152, d2.loss_iou: 1.1979, d3.loss_cls: 2.0859, d3.loss_bbox: 0.8082, d3.loss_iou: 1.1898, d4.loss_cls: 2.0724, d4.loss_bbox: 0.8044, d4.loss_iou: 1.1855, loss: 24.7324, grad_norm: 13.6829 +2022-10-26 20:16:21,184 - mmdet - INFO - Epoch [10][400/1849] lr: 2.000e-04, eta: 2:52:41, time: 0.139, data_time: 0.005, memory: 4227, loss_cls: 2.0670, loss_bbox: 0.8000, loss_iou: 1.1789, d0.loss_cls: 2.1656, d0.loss_bbox: 0.8487, d0.loss_iou: 1.2269, d1.loss_cls: 2.1269, d1.loss_bbox: 0.8279, d1.loss_iou: 1.2102, d2.loss_cls: 2.0986, d2.loss_bbox: 0.8125, d2.loss_iou: 1.1920, d3.loss_cls: 2.0855, d3.loss_bbox: 0.8054, d3.loss_iou: 1.1839, d4.loss_cls: 2.0745, d4.loss_bbox: 0.8015, d4.loss_iou: 1.1804, loss: 24.6863, grad_norm: 14.6496 +2022-10-26 20:16:27,973 - mmdet - INFO - Epoch [10][450/1849] lr: 2.000e-04, eta: 2:52:34, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.0610, loss_bbox: 0.7967, loss_iou: 1.1815, d0.loss_cls: 2.1553, d0.loss_bbox: 0.8432, d0.loss_iou: 1.2283, d1.loss_cls: 2.1197, d1.loss_bbox: 0.8254, d1.loss_iou: 1.2124, d2.loss_cls: 2.0915, d2.loss_bbox: 0.8113, d2.loss_iou: 1.1955, d3.loss_cls: 2.0808, d3.loss_bbox: 0.8027, d3.loss_iou: 1.1877, d4.loss_cls: 2.0657, d4.loss_bbox: 0.7984, d4.loss_iou: 1.1839, loss: 24.6410, grad_norm: 14.0392 +2022-10-26 20:16:34,802 - mmdet - INFO - Epoch [10][500/1849] lr: 2.000e-04, eta: 2:52:27, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0549, loss_bbox: 0.8009, loss_iou: 1.1788, d0.loss_cls: 2.1515, d0.loss_bbox: 0.8480, d0.loss_iou: 1.2259, d1.loss_cls: 2.1138, d1.loss_bbox: 0.8266, d1.loss_iou: 1.2099, d2.loss_cls: 2.0839, d2.loss_bbox: 0.8131, d2.loss_iou: 1.1933, d3.loss_cls: 2.0702, d3.loss_bbox: 0.8058, d3.loss_iou: 1.1847, d4.loss_cls: 2.0611, d4.loss_bbox: 0.8023, d4.loss_iou: 1.1807, loss: 24.6053, grad_norm: 15.0780 +2022-10-26 20:16:41,551 - mmdet - INFO - Epoch [10][550/1849] lr: 2.000e-04, eta: 2:52:20, time: 0.135, data_time: 0.005, memory: 4227, loss_cls: 2.0529, loss_bbox: 0.8018, loss_iou: 1.1838, d0.loss_cls: 2.1517, d0.loss_bbox: 0.8467, d0.loss_iou: 1.2300, d1.loss_cls: 2.1161, d1.loss_bbox: 0.8286, d1.loss_iou: 1.2144, d2.loss_cls: 2.0865, d2.loss_bbox: 0.8144, d2.loss_iou: 1.1973, d3.loss_cls: 2.0686, d3.loss_bbox: 0.8069, d3.loss_iou: 1.1898, d4.loss_cls: 2.0585, d4.loss_bbox: 0.8032, d4.loss_iou: 1.1853, loss: 24.6366, grad_norm: 15.8947 +2022-10-26 20:16:48,398 - mmdet - INFO - Epoch [10][600/1849] lr: 2.000e-04, eta: 2:52:13, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0535, loss_bbox: 0.7980, loss_iou: 1.1796, d0.loss_cls: 2.1480, d0.loss_bbox: 0.8445, d0.loss_iou: 1.2294, d1.loss_cls: 2.1113, d1.loss_bbox: 0.8238, d1.loss_iou: 1.2108, d2.loss_cls: 2.0832, d2.loss_bbox: 0.8091, d2.loss_iou: 1.1939, d3.loss_cls: 2.0692, d3.loss_bbox: 0.8020, d3.loss_iou: 1.1859, d4.loss_cls: 2.0574, d4.loss_bbox: 0.7996, d4.loss_iou: 1.1820, loss: 24.5811, grad_norm: 13.9159 +2022-10-26 20:16:55,287 - mmdet - INFO - Epoch [10][650/1849] lr: 2.000e-04, eta: 2:52:06, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0710, loss_bbox: 0.8027, loss_iou: 1.1798, d0.loss_cls: 2.1690, d0.loss_bbox: 0.8497, d0.loss_iou: 1.2285, d1.loss_cls: 2.1319, d1.loss_bbox: 0.8292, d1.loss_iou: 1.2112, d2.loss_cls: 2.1000, d2.loss_bbox: 0.8146, d2.loss_iou: 1.1950, d3.loss_cls: 2.0860, d3.loss_bbox: 0.8079, d3.loss_iou: 1.1864, d4.loss_cls: 2.0754, d4.loss_bbox: 0.8039, d4.loss_iou: 1.1823, loss: 24.7244, grad_norm: 13.9115 +2022-10-26 20:17:02,353 - mmdet - INFO - Epoch [10][700/1849] lr: 2.000e-04, eta: 2:52:00, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0613, loss_bbox: 0.8008, loss_iou: 1.1790, d0.loss_cls: 2.1566, d0.loss_bbox: 0.8464, d0.loss_iou: 1.2294, d1.loss_cls: 2.1186, d1.loss_bbox: 0.8273, d1.loss_iou: 1.2114, d2.loss_cls: 2.0932, d2.loss_bbox: 0.8132, d2.loss_iou: 1.1943, d3.loss_cls: 2.0762, d3.loss_bbox: 0.8052, d3.loss_iou: 1.1857, d4.loss_cls: 2.0662, d4.loss_bbox: 0.8026, d4.loss_iou: 1.1813, loss: 24.6487, grad_norm: 14.1710 +2022-10-26 20:17:09,389 - mmdet - INFO - Epoch [10][750/1849] lr: 2.000e-04, eta: 2:51:54, time: 0.141, data_time: 0.005, memory: 4227, loss_cls: 2.0619, loss_bbox: 0.7983, loss_iou: 1.1812, d0.loss_cls: 2.1558, d0.loss_bbox: 0.8447, d0.loss_iou: 1.2284, d1.loss_cls: 2.1207, d1.loss_bbox: 0.8259, d1.loss_iou: 1.2129, d2.loss_cls: 2.0947, d2.loss_bbox: 0.8116, d2.loss_iou: 1.1956, d3.loss_cls: 2.0809, d3.loss_bbox: 0.8048, d3.loss_iou: 1.1880, d4.loss_cls: 2.0665, d4.loss_bbox: 0.8003, d4.loss_iou: 1.1838, loss: 24.6561, grad_norm: 13.9394 +2022-10-26 20:17:16,282 - mmdet - INFO - Epoch [10][800/1849] lr: 2.000e-04, eta: 2:51:47, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0562, loss_bbox: 0.7961, loss_iou: 1.1766, d0.loss_cls: 2.1526, d0.loss_bbox: 0.8416, d0.loss_iou: 1.2226, d1.loss_cls: 2.1147, d1.loss_bbox: 0.8220, d1.loss_iou: 1.2084, d2.loss_cls: 2.0843, d2.loss_bbox: 0.8090, d2.loss_iou: 1.1929, d3.loss_cls: 2.0731, d3.loss_bbox: 0.8017, d3.loss_iou: 1.1830, d4.loss_cls: 2.0608, d4.loss_bbox: 0.7977, d4.loss_iou: 1.1790, loss: 24.5721, grad_norm: 14.2537 +2022-10-26 20:17:23,132 - mmdet - INFO - Epoch [10][850/1849] lr: 2.000e-04, eta: 2:51:40, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0662, loss_bbox: 0.8037, loss_iou: 1.1838, d0.loss_cls: 2.1623, d0.loss_bbox: 0.8503, d0.loss_iou: 1.2316, d1.loss_cls: 2.1270, d1.loss_bbox: 0.8309, d1.loss_iou: 1.2135, d2.loss_cls: 2.0980, d2.loss_bbox: 0.8164, d2.loss_iou: 1.1973, d3.loss_cls: 2.0830, d3.loss_bbox: 0.8090, d3.loss_iou: 1.1897, d4.loss_cls: 2.0723, d4.loss_bbox: 0.8054, d4.loss_iou: 1.1854, loss: 24.7259, grad_norm: 14.7322 +2022-10-26 20:17:30,030 - mmdet - INFO - Epoch [10][900/1849] lr: 2.000e-04, eta: 2:51:33, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0723, loss_bbox: 0.8027, loss_iou: 1.1836, d0.loss_cls: 2.1694, d0.loss_bbox: 0.8481, d0.loss_iou: 1.2312, d1.loss_cls: 2.1317, d1.loss_bbox: 0.8297, d1.loss_iou: 1.2153, d2.loss_cls: 2.1042, d2.loss_bbox: 0.8154, d2.loss_iou: 1.1973, d3.loss_cls: 2.0887, d3.loss_bbox: 0.8084, d3.loss_iou: 1.1889, d4.loss_cls: 2.0780, d4.loss_bbox: 0.8042, d4.loss_iou: 1.1858, loss: 24.7549, grad_norm: 15.1270 +2022-10-26 20:17:36,904 - mmdet - INFO - Epoch [10][950/1849] lr: 2.000e-04, eta: 2:51:27, time: 0.137, data_time: 0.005, memory: 4227, loss_cls: 2.0609, loss_bbox: 0.7981, loss_iou: 1.1763, d0.loss_cls: 2.1591, d0.loss_bbox: 0.8447, d0.loss_iou: 1.2236, d1.loss_cls: 2.1214, d1.loss_bbox: 0.8243, d1.loss_iou: 1.2065, d2.loss_cls: 2.0929, d2.loss_bbox: 0.8095, d2.loss_iou: 1.1896, d3.loss_cls: 2.0784, d3.loss_bbox: 0.8028, d3.loss_iou: 1.1810, d4.loss_cls: 2.0683, d4.loss_bbox: 0.8002, d4.loss_iou: 1.1780, loss: 24.6155, grad_norm: 14.1941 +2022-10-26 20:17:44,035 - mmdet - INFO - Epoch [10][1000/1849] lr: 2.000e-04, eta: 2:51:21, time: 0.143, data_time: 0.005, memory: 4227, loss_cls: 2.0581, loss_bbox: 0.7993, loss_iou: 1.1811, d0.loss_cls: 2.1524, d0.loss_bbox: 0.8462, d0.loss_iou: 1.2287, d1.loss_cls: 2.1180, d1.loss_bbox: 0.8249, d1.loss_iou: 1.2127, d2.loss_cls: 2.0883, d2.loss_bbox: 0.8117, d2.loss_iou: 1.1946, d3.loss_cls: 2.0742, d3.loss_bbox: 0.8046, d3.loss_iou: 1.1870, d4.loss_cls: 2.0653, d4.loss_bbox: 0.8011, d4.loss_iou: 1.1832, loss: 24.6315, grad_norm: 14.1424 +2022-10-26 20:17:51,133 - mmdet - INFO - Epoch [10][1050/1849] lr: 2.000e-04, eta: 2:51:15, time: 0.142, data_time: 0.005, memory: 4227, loss_cls: 2.0574, loss_bbox: 0.7993, loss_iou: 1.1811, d0.loss_cls: 2.1534, d0.loss_bbox: 0.8452, d0.loss_iou: 1.2286, d1.loss_cls: 2.1184, d1.loss_bbox: 0.8276, d1.loss_iou: 1.2131, d2.loss_cls: 2.0879, d2.loss_bbox: 0.8130, d2.loss_iou: 1.1959, d3.loss_cls: 2.0757, d3.loss_bbox: 0.8051, d3.loss_iou: 1.1882, d4.loss_cls: 2.0640, d4.loss_bbox: 0.8015, d4.loss_iou: 1.1833, loss: 24.6388, grad_norm: 14.2999 +2022-10-26 20:17:58,024 - mmdet - INFO - Epoch [10][1100/1849] lr: 2.000e-04, eta: 2:51:08, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0610, loss_bbox: 0.7992, loss_iou: 1.1781, d0.loss_cls: 2.1540, d0.loss_bbox: 0.8473, d0.loss_iou: 1.2286, d1.loss_cls: 2.1201, d1.loss_bbox: 0.8278, d1.loss_iou: 1.2124, d2.loss_cls: 2.0925, d2.loss_bbox: 0.8127, d2.loss_iou: 1.1944, d3.loss_cls: 2.0769, d3.loss_bbox: 0.8052, d3.loss_iou: 1.1847, d4.loss_cls: 2.0652, d4.loss_bbox: 0.8008, d4.loss_iou: 1.1808, loss: 24.6417, grad_norm: 14.7090 +2022-10-26 20:18:04,932 - mmdet - INFO - Epoch [10][1150/1849] lr: 2.000e-04, eta: 2:51:01, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0686, loss_bbox: 0.8013, loss_iou: 1.1843, d0.loss_cls: 2.1674, d0.loss_bbox: 0.8471, d0.loss_iou: 1.2313, d1.loss_cls: 2.1338, d1.loss_bbox: 0.8280, d1.loss_iou: 1.2155, d2.loss_cls: 2.1012, d2.loss_bbox: 0.8134, d2.loss_iou: 1.1984, d3.loss_cls: 2.0839, d3.loss_bbox: 0.8065, d3.loss_iou: 1.1908, d4.loss_cls: 2.0741, d4.loss_bbox: 0.8026, d4.loss_iou: 1.1865, loss: 24.7346, grad_norm: 15.7534 +2022-10-26 20:18:11,709 - mmdet - INFO - Epoch [10][1200/1849] lr: 2.000e-04, eta: 2:50:54, time: 0.136, data_time: 0.005, memory: 4227, loss_cls: 2.0554, loss_bbox: 0.7964, loss_iou: 1.1755, d0.loss_cls: 2.1549, d0.loss_bbox: 0.8438, d0.loss_iou: 1.2233, d1.loss_cls: 2.1189, d1.loss_bbox: 0.8247, d1.loss_iou: 1.2079, d2.loss_cls: 2.0891, d2.loss_bbox: 0.8107, d2.loss_iou: 1.1901, d3.loss_cls: 2.0716, d3.loss_bbox: 0.8022, d3.loss_iou: 1.1823, d4.loss_cls: 2.0623, d4.loss_bbox: 0.7984, d4.loss_iou: 1.1781, loss: 24.5856, grad_norm: 15.7555 +2022-10-26 20:18:18,494 - mmdet - INFO - Epoch [10][1250/1849] lr: 2.000e-04, eta: 2:50:47, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.0582, loss_bbox: 0.7993, loss_iou: 1.1785, d0.loss_cls: 2.1539, d0.loss_bbox: 0.8459, d0.loss_iou: 1.2278, d1.loss_cls: 2.1216, d1.loss_bbox: 0.8264, d1.loss_iou: 1.2091, d2.loss_cls: 2.0897, d2.loss_bbox: 0.8114, d2.loss_iou: 1.1928, d3.loss_cls: 2.0740, d3.loss_bbox: 0.8043, d3.loss_iou: 1.1852, d4.loss_cls: 2.0632, d4.loss_bbox: 0.8008, d4.loss_iou: 1.1808, loss: 24.6229, grad_norm: 14.3656 +2022-10-26 20:18:25,327 - mmdet - INFO - Epoch [10][1300/1849] lr: 2.000e-04, eta: 2:50:40, time: 0.137, data_time: 0.004, memory: 4227, loss_cls: 2.0672, loss_bbox: 0.8037, loss_iou: 1.1819, d0.loss_cls: 2.1617, d0.loss_bbox: 0.8498, d0.loss_iou: 1.2298, d1.loss_cls: 2.1270, d1.loss_bbox: 0.8314, d1.loss_iou: 1.2144, d2.loss_cls: 2.0981, d2.loss_bbox: 0.8167, d2.loss_iou: 1.1962, d3.loss_cls: 2.0836, d3.loss_bbox: 0.8090, d3.loss_iou: 1.1882, d4.loss_cls: 2.0718, d4.loss_bbox: 0.8051, d4.loss_iou: 1.1842, loss: 24.7196, grad_norm: 14.5862 +2022-10-26 20:18:32,243 - mmdet - INFO - Epoch [10][1350/1849] lr: 2.000e-04, eta: 2:50:33, time: 0.138, data_time: 0.004, memory: 4227, loss_cls: 2.0635, loss_bbox: 0.7982, loss_iou: 1.1785, d0.loss_cls: 2.1611, d0.loss_bbox: 0.8444, d0.loss_iou: 1.2266, d1.loss_cls: 2.1242, d1.loss_bbox: 0.8254, d1.loss_iou: 1.2111, d2.loss_cls: 2.0955, d2.loss_bbox: 0.8108, d2.loss_iou: 1.1941, d3.loss_cls: 2.0820, d3.loss_bbox: 0.8032, d3.loss_iou: 1.1848, d4.loss_cls: 2.0695, d4.loss_bbox: 0.7993, d4.loss_iou: 1.1810, loss: 24.6533, grad_norm: 15.6871 +2022-10-26 20:18:39,275 - mmdet - INFO - Epoch [10][1400/1849] lr: 2.000e-04, eta: 2:50:27, time: 0.141, data_time: 0.004, memory: 4227, loss_cls: 2.0636, loss_bbox: 0.7953, loss_iou: 1.1778, d0.loss_cls: 2.1564, d0.loss_bbox: 0.8418, d0.loss_iou: 1.2259, d1.loss_cls: 2.1250, d1.loss_bbox: 0.8228, d1.loss_iou: 1.2081, d2.loss_cls: 2.0949, d2.loss_bbox: 0.8078, d2.loss_iou: 1.1918, d3.loss_cls: 2.0804, d3.loss_bbox: 0.8003, d3.loss_iou: 1.1838, d4.loss_cls: 2.0696, d4.loss_bbox: 0.7971, d4.loss_iou: 1.1799, loss: 24.6223, grad_norm: 14.8023 +2022-10-26 20:18:46,067 - mmdet - INFO - Epoch [10][1450/1849] lr: 2.000e-04, eta: 2:50:20, time: 0.136, data_time: 0.004, memory: 4227, loss_cls: 2.0544, loss_bbox: 0.8022, loss_iou: 1.1729, d0.loss_cls: 2.1510, d0.loss_bbox: 0.8475, d0.loss_iou: 1.2214, d1.loss_cls: 2.1157, d1.loss_bbox: 0.8277, d1.loss_iou: 1.2052, d2.loss_cls: 2.0865, d2.loss_bbox: 0.8134, d2.loss_iou: 1.1880, d3.loss_cls: 2.0719, d3.loss_bbox: 0.8067, d3.loss_iou: 1.1799, d4.loss_cls: 2.0602, d4.loss_bbox: 0.8027, d4.loss_iou: 1.1760, loss: 24.5835, grad_norm: 14.2982 +2022-10-26 20:18:52,977 - mmdet - INFO - Epoch [10][1500/1849] lr: 2.000e-04, eta: 2:50:13, time: 0.138, data_time: 0.005, memory: 4227, loss_cls: 2.0703, loss_bbox: 0.8023, loss_iou: 1.1833, d0.loss_cls: 2.1660, d0.loss_bbox: 0.8458, d0.loss_iou: 1.2299, d1.loss_cls: 2.1305, d1.loss_bbox: 0.8286, d1.loss_iou: 1.2154, d2.loss_cls: 2.0996, d2.loss_bbox: 0.8141, d2.loss_iou: 1.1968, d3.loss_cls: 2.0855, d3.loss_bbox: 0.8073, d3.loss_iou: 1.1894, d4.loss_cls: 2.0750, d4.loss_bbox: 0.8039, d4.loss_iou: 1.1853, loss: 24.7290, grad_norm: 13.6182 +2022-10-26 20:18:59,974 - mmdet - INFO - Epoch [10][1550/1849] lr: 2.000e-04, eta: 2:50:07, time: 0.140, data_time: 0.005, memory: 4227, loss_cls: 2.0673, loss_bbox: 0.7988, loss_iou: 1.1770, d0.loss_cls: 2.1626, d0.loss_bbox: 0.8461, d0.loss_iou: 1.2260, d1.loss_cls: 2.1296, d1.loss_bbox: 0.8255, d1.loss_iou: 1.2098, d2.loss_cls: 2.1000, d2.loss_bbox: 0.8120, d2.loss_iou: 1.1924, d3.loss_cls: 2.0847, d3.loss_bbox: 0.8044, d3.loss_iou: 1.1836, d4.loss_cls: 2.0731, d4.loss_bbox: 0.8008, d4.loss_iou: 1.1792, loss: 24.6729, grad_norm: 14.4553 +2022-10-26 20:19:06,849 - mmdet - INFO - Epoch [10][1600/1849] lr: 2.000e-04, eta: 2:50:00, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0578, loss_bbox: 0.7959, loss_iou: 1.1727, d0.loss_cls: 2.1520, d0.loss_bbox: 0.8439, d0.loss_iou: 1.2220, d1.loss_cls: 2.1215, d1.loss_bbox: 0.8253, d1.loss_iou: 1.2040, d2.loss_cls: 2.0919, d2.loss_bbox: 0.8097, d2.loss_iou: 1.1860, d3.loss_cls: 2.0770, d3.loss_bbox: 0.8025, d3.loss_iou: 1.1779, d4.loss_cls: 2.0641, d4.loss_bbox: 0.7979, d4.loss_iou: 1.1744, loss: 24.5765, grad_norm: 13.6936 +2022-10-26 20:19:13,826 - mmdet - INFO - Epoch [10][1650/1849] lr: 2.000e-04, eta: 2:49:53, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0664, loss_bbox: 0.7988, loss_iou: 1.1764, d0.loss_cls: 2.1624, d0.loss_bbox: 0.8441, d0.loss_iou: 1.2243, d1.loss_cls: 2.1268, d1.loss_bbox: 0.8252, d1.loss_iou: 1.2080, d2.loss_cls: 2.0962, d2.loss_bbox: 0.8115, d2.loss_iou: 1.1916, d3.loss_cls: 2.0829, d3.loss_bbox: 0.8038, d3.loss_iou: 1.1828, d4.loss_cls: 2.0732, d4.loss_bbox: 0.8008, d4.loss_iou: 1.1783, loss: 24.6534, grad_norm: 14.5866 +2022-10-26 20:19:20,615 - mmdet - INFO - Epoch [10][1700/1849] lr: 2.000e-04, eta: 2:49:46, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 2.0475, loss_bbox: 0.7942, loss_iou: 1.1725, d0.loss_cls: 2.1482, d0.loss_bbox: 0.8414, d0.loss_iou: 1.2212, d1.loss_cls: 2.1102, d1.loss_bbox: 0.8213, d1.loss_iou: 1.2046, d2.loss_cls: 2.0777, d2.loss_bbox: 0.8072, d2.loss_iou: 1.1869, d3.loss_cls: 2.0650, d3.loss_bbox: 0.7995, d3.loss_iou: 1.1800, d4.loss_cls: 2.0514, d4.loss_bbox: 0.7957, d4.loss_iou: 1.1748, loss: 24.4993, grad_norm: 14.6473 +2022-10-26 20:19:27,516 - mmdet - INFO - Epoch [10][1750/1849] lr: 2.000e-04, eta: 2:49:39, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0507, loss_bbox: 0.8001, loss_iou: 1.1778, d0.loss_cls: 2.1486, d0.loss_bbox: 0.8467, d0.loss_iou: 1.2255, d1.loss_cls: 2.1118, d1.loss_bbox: 0.8266, d1.loss_iou: 1.2079, d2.loss_cls: 2.0829, d2.loss_bbox: 0.8128, d2.loss_iou: 1.1912, d3.loss_cls: 2.0679, d3.loss_bbox: 0.8054, d3.loss_iou: 1.1833, d4.loss_cls: 2.0569, d4.loss_bbox: 0.8017, d4.loss_iou: 1.1803, loss: 24.5781, grad_norm: 14.0821 +2022-10-26 20:19:34,686 - mmdet - INFO - Epoch [10][1800/1849] lr: 2.000e-04, eta: 2:49:34, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0607, loss_bbox: 0.7945, loss_iou: 1.1770, d0.loss_cls: 2.1565, d0.loss_bbox: 0.8404, d0.loss_iou: 1.2241, d1.loss_cls: 2.1198, d1.loss_bbox: 0.8205, d1.loss_iou: 1.2076, d2.loss_cls: 2.0924, d2.loss_bbox: 0.8076, d2.loss_iou: 1.1905, d3.loss_cls: 2.0776, d3.loss_bbox: 0.7988, d3.loss_iou: 1.1836, d4.loss_cls: 2.0680, d4.loss_bbox: 0.7957, d4.loss_iou: 1.1784, loss: 24.5940, grad_norm: 15.8338 +2022-10-26 20:19:41,691 - mmdet - INFO - Saving checkpoint at 10 epochs +2022-10-26 20:19:52,496 - mmdet - INFO - Epoch [11][50/1849] lr: 2.000e-04, eta: 2:49:06, time: 0.203, data_time: 0.065, memory: 4401, loss_cls: 2.0424, loss_bbox: 0.7973, loss_iou: 1.1771, d0.loss_cls: 2.1396, d0.loss_bbox: 0.8448, d0.loss_iou: 1.2253, d1.loss_cls: 2.1031, d1.loss_bbox: 0.8260, d1.loss_iou: 1.2096, d2.loss_cls: 2.0751, d2.loss_bbox: 0.8102, d2.loss_iou: 1.1914, d3.loss_cls: 2.0605, d3.loss_bbox: 0.8036, d3.loss_iou: 1.1820, d4.loss_cls: 2.0482, d4.loss_bbox: 0.7996, d4.loss_iou: 1.1786, loss: 24.5143, grad_norm: 12.8888 +2022-10-26 20:19:59,516 - mmdet - INFO - Epoch [11][100/1849] lr: 2.000e-04, eta: 2:49:00, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0576, loss_bbox: 0.7957, loss_iou: 1.1811, d0.loss_cls: 2.1604, d0.loss_bbox: 0.8435, d0.loss_iou: 1.2304, d1.loss_cls: 2.1218, d1.loss_bbox: 0.8243, d1.loss_iou: 1.2142, d2.loss_cls: 2.0885, d2.loss_bbox: 0.8099, d2.loss_iou: 1.1953, d3.loss_cls: 2.0752, d3.loss_bbox: 0.8015, d3.loss_iou: 1.1871, d4.loss_cls: 2.0623, d4.loss_bbox: 0.7974, d4.loss_iou: 1.1830, loss: 24.6293, grad_norm: 14.0528 +2022-10-26 20:20:06,569 - mmdet - INFO - Epoch [11][150/1849] lr: 2.000e-04, eta: 2:48:54, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0499, loss_bbox: 0.7971, loss_iou: 1.1716, d0.loss_cls: 2.1456, d0.loss_bbox: 0.8455, d0.loss_iou: 1.2212, d1.loss_cls: 2.1093, d1.loss_bbox: 0.8242, d1.loss_iou: 1.2028, d2.loss_cls: 2.0789, d2.loss_bbox: 0.8088, d2.loss_iou: 1.1860, d3.loss_cls: 2.0653, d3.loss_bbox: 0.8023, d3.loss_iou: 1.1781, d4.loss_cls: 2.0549, d4.loss_bbox: 0.7987, d4.loss_iou: 1.1736, loss: 24.5137, grad_norm: 15.9182 +2022-10-26 20:20:13,721 - mmdet - INFO - Epoch [11][200/1849] lr: 2.000e-04, eta: 2:48:48, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0461, loss_bbox: 0.8026, loss_iou: 1.1789, d0.loss_cls: 2.1428, d0.loss_bbox: 0.8497, d0.loss_iou: 1.2285, d1.loss_cls: 2.1089, d1.loss_bbox: 0.8301, d1.loss_iou: 1.2113, d2.loss_cls: 2.0788, d2.loss_bbox: 0.8158, d2.loss_iou: 1.1934, d3.loss_cls: 2.0649, d3.loss_bbox: 0.8082, d3.loss_iou: 1.1849, d4.loss_cls: 2.0532, d4.loss_bbox: 0.8049, d4.loss_iou: 1.1810, loss: 24.5838, grad_norm: 13.7523 +2022-10-26 20:20:20,568 - mmdet - INFO - Epoch [11][250/1849] lr: 2.000e-04, eta: 2:48:41, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0421, loss_bbox: 0.7904, loss_iou: 1.1724, d0.loss_cls: 2.1399, d0.loss_bbox: 0.8379, d0.loss_iou: 1.2215, d1.loss_cls: 2.1046, d1.loss_bbox: 0.8184, d1.loss_iou: 1.2052, d2.loss_cls: 2.0749, d2.loss_bbox: 0.8036, d2.loss_iou: 1.1876, d3.loss_cls: 2.0567, d3.loss_bbox: 0.7962, d3.loss_iou: 1.1795, d4.loss_cls: 2.0456, d4.loss_bbox: 0.7927, d4.loss_iou: 1.1754, loss: 24.4447, grad_norm: 15.7089 +2022-10-26 20:20:27,405 - mmdet - INFO - Epoch [11][300/1849] lr: 2.000e-04, eta: 2:48:34, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0388, loss_bbox: 0.7960, loss_iou: 1.1749, d0.loss_cls: 2.1341, d0.loss_bbox: 0.8423, d0.loss_iou: 1.2253, d1.loss_cls: 2.1002, d1.loss_bbox: 0.8226, d1.loss_iou: 1.2080, d2.loss_cls: 2.0685, d2.loss_bbox: 0.8085, d2.loss_iou: 1.1902, d3.loss_cls: 2.0550, d3.loss_bbox: 0.8011, d3.loss_iou: 1.1817, d4.loss_cls: 2.0452, d4.loss_bbox: 0.7969, d4.loss_iou: 1.1773, loss: 24.4664, grad_norm: 13.0168 +2022-10-26 20:20:34,226 - mmdet - INFO - Epoch [11][350/1849] lr: 2.000e-04, eta: 2:48:27, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0395, loss_bbox: 0.7996, loss_iou: 1.1794, d0.loss_cls: 2.1368, d0.loss_bbox: 0.8465, d0.loss_iou: 1.2270, d1.loss_cls: 2.1050, d1.loss_bbox: 0.8266, d1.loss_iou: 1.2109, d2.loss_cls: 2.0731, d2.loss_bbox: 0.8129, d2.loss_iou: 1.1940, d3.loss_cls: 2.0578, d3.loss_bbox: 0.8061, d3.loss_iou: 1.1857, d4.loss_cls: 2.0452, d4.loss_bbox: 0.8014, d4.loss_iou: 1.1823, loss: 24.5298, grad_norm: 16.2277 +2022-10-26 20:20:41,315 - mmdet - INFO - Epoch [11][400/1849] lr: 2.000e-04, eta: 2:48:21, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 2.0540, loss_bbox: 0.7933, loss_iou: 1.1715, d0.loss_cls: 2.1527, d0.loss_bbox: 0.8405, d0.loss_iou: 1.2210, d1.loss_cls: 2.1165, d1.loss_bbox: 0.8204, d1.loss_iou: 1.2043, d2.loss_cls: 2.0867, d2.loss_bbox: 0.8062, d2.loss_iou: 1.1859, d3.loss_cls: 2.0718, d3.loss_bbox: 0.7991, d3.loss_iou: 1.1781, d4.loss_cls: 2.0605, d4.loss_bbox: 0.7950, d4.loss_iou: 1.1743, loss: 24.5319, grad_norm: 13.1156 +2022-10-26 20:20:48,255 - mmdet - INFO - Epoch [11][450/1849] lr: 2.000e-04, eta: 2:48:15, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0513, loss_bbox: 0.7968, loss_iou: 1.1781, d0.loss_cls: 2.1494, d0.loss_bbox: 0.8458, d0.loss_iou: 1.2269, d1.loss_cls: 2.1112, d1.loss_bbox: 0.8263, d1.loss_iou: 1.2104, d2.loss_cls: 2.0828, d2.loss_bbox: 0.8113, d2.loss_iou: 1.1934, d3.loss_cls: 2.0686, d3.loss_bbox: 0.8025, d3.loss_iou: 1.1856, d4.loss_cls: 2.0563, d4.loss_bbox: 0.7991, d4.loss_iou: 1.1811, loss: 24.5771, grad_norm: 15.4912 +2022-10-26 20:20:55,118 - mmdet - INFO - Epoch [11][500/1849] lr: 2.000e-04, eta: 2:48:08, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0413, loss_bbox: 0.7978, loss_iou: 1.1769, d0.loss_cls: 2.1405, d0.loss_bbox: 0.8451, d0.loss_iou: 1.2252, d1.loss_cls: 2.1030, d1.loss_bbox: 0.8244, d1.loss_iou: 1.2084, d2.loss_cls: 2.0723, d2.loss_bbox: 0.8101, d2.loss_iou: 1.1912, d3.loss_cls: 2.0586, d3.loss_bbox: 0.8034, d3.loss_iou: 1.1832, d4.loss_cls: 2.0470, d4.loss_bbox: 0.7995, d4.loss_iou: 1.1790, loss: 24.5070, grad_norm: 14.6189 +2022-10-26 20:21:02,120 - mmdet - INFO - Epoch [11][550/1849] lr: 2.000e-04, eta: 2:48:01, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0612, loss_bbox: 0.7961, loss_iou: 1.1742, d0.loss_cls: 2.1590, d0.loss_bbox: 0.8424, d0.loss_iou: 1.2240, d1.loss_cls: 2.1197, d1.loss_bbox: 0.8243, d1.loss_iou: 1.2079, d2.loss_cls: 2.0900, d2.loss_bbox: 0.8102, d2.loss_iou: 1.1901, d3.loss_cls: 2.0764, d3.loss_bbox: 0.8021, d3.loss_iou: 1.1816, d4.loss_cls: 2.0663, d4.loss_bbox: 0.7980, d4.loss_iou: 1.1771, loss: 24.6008, grad_norm: 14.0695 +2022-10-26 20:21:08,820 - mmdet - INFO - Epoch [11][600/1849] lr: 2.000e-04, eta: 2:47:54, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 2.0469, loss_bbox: 0.7924, loss_iou: 1.1742, d0.loss_cls: 2.1469, d0.loss_bbox: 0.8387, d0.loss_iou: 1.2230, d1.loss_cls: 2.1086, d1.loss_bbox: 0.8188, d1.loss_iou: 1.2060, d2.loss_cls: 2.0812, d2.loss_bbox: 0.8051, d2.loss_iou: 1.1890, d3.loss_cls: 2.0631, d3.loss_bbox: 0.7975, d3.loss_iou: 1.1795, d4.loss_cls: 2.0535, d4.loss_bbox: 0.7940, d4.loss_iou: 1.1759, loss: 24.4942, grad_norm: 15.5508 +2022-10-26 20:21:15,851 - mmdet - INFO - Epoch [11][650/1849] lr: 2.000e-04, eta: 2:47:48, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0474, loss_bbox: 0.7895, loss_iou: 1.1700, d0.loss_cls: 2.1419, d0.loss_bbox: 0.8359, d0.loss_iou: 1.2176, d1.loss_cls: 2.1089, d1.loss_bbox: 0.8170, d1.loss_iou: 1.2012, d2.loss_cls: 2.0799, d2.loss_bbox: 0.8026, d2.loss_iou: 1.1836, d3.loss_cls: 2.0634, d3.loss_bbox: 0.7950, d3.loss_iou: 1.1769, d4.loss_cls: 2.0529, d4.loss_bbox: 0.7914, d4.loss_iou: 1.1720, loss: 24.4469, grad_norm: 14.9532 +2022-10-26 20:21:23,035 - mmdet - INFO - Epoch [11][700/1849] lr: 2.000e-04, eta: 2:47:42, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 2.0502, loss_bbox: 0.7919, loss_iou: 1.1710, d0.loss_cls: 2.1481, d0.loss_bbox: 0.8396, d0.loss_iou: 1.2228, d1.loss_cls: 2.1137, d1.loss_bbox: 0.8197, d1.loss_iou: 1.2039, d2.loss_cls: 2.0826, d2.loss_bbox: 0.8042, d2.loss_iou: 1.1862, d3.loss_cls: 2.0693, d3.loss_bbox: 0.7977, d3.loss_iou: 1.1773, d4.loss_cls: 2.0559, d4.loss_bbox: 0.7935, d4.loss_iou: 1.1735, loss: 24.5011, grad_norm: 14.6104 +2022-10-26 20:21:30,068 - mmdet - INFO - Epoch [11][750/1849] lr: 2.000e-04, eta: 2:47:36, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0539, loss_bbox: 0.7988, loss_iou: 1.1787, d0.loss_cls: 2.1528, d0.loss_bbox: 0.8468, d0.loss_iou: 1.2290, d1.loss_cls: 2.1158, d1.loss_bbox: 0.8261, d1.loss_iou: 1.2114, d2.loss_cls: 2.0879, d2.loss_bbox: 0.8118, d2.loss_iou: 1.1934, d3.loss_cls: 2.0711, d3.loss_bbox: 0.8046, d3.loss_iou: 1.1852, d4.loss_cls: 2.0604, d4.loss_bbox: 0.8005, d4.loss_iou: 1.1806, loss: 24.6089, grad_norm: 15.4041 +2022-10-26 20:21:37,092 - mmdet - INFO - Epoch [11][800/1849] lr: 2.000e-04, eta: 2:47:29, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0526, loss_bbox: 0.7936, loss_iou: 1.1752, d0.loss_cls: 2.1501, d0.loss_bbox: 0.8405, d0.loss_iou: 1.2256, d1.loss_cls: 2.1121, d1.loss_bbox: 0.8209, d1.loss_iou: 1.2084, d2.loss_cls: 2.0827, d2.loss_bbox: 0.8074, d2.loss_iou: 1.1902, d3.loss_cls: 2.0670, d3.loss_bbox: 0.7990, d3.loss_iou: 1.1817, d4.loss_cls: 2.0580, d4.loss_bbox: 0.7949, d4.loss_iou: 1.1778, loss: 24.5379, grad_norm: 15.0015 +2022-10-26 20:21:44,011 - mmdet - INFO - Epoch [11][850/1849] lr: 2.000e-04, eta: 2:47:23, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0614, loss_bbox: 0.7930, loss_iou: 1.1746, d0.loss_cls: 2.1585, d0.loss_bbox: 0.8414, d0.loss_iou: 1.2260, d1.loss_cls: 2.1238, d1.loss_bbox: 0.8213, d1.loss_iou: 1.2082, d2.loss_cls: 2.0951, d2.loss_bbox: 0.8066, d2.loss_iou: 1.1895, d3.loss_cls: 2.0802, d3.loss_bbox: 0.7983, d3.loss_iou: 1.1810, d4.loss_cls: 2.0695, d4.loss_bbox: 0.7948, d4.loss_iou: 1.1769, loss: 24.6000, grad_norm: 16.4985 +2022-10-26 20:21:51,048 - mmdet - INFO - Epoch [11][900/1849] lr: 2.000e-04, eta: 2:47:17, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0415, loss_bbox: 0.7946, loss_iou: 1.1736, d0.loss_cls: 2.1375, d0.loss_bbox: 0.8423, d0.loss_iou: 1.2228, d1.loss_cls: 2.1014, d1.loss_bbox: 0.8215, d1.loss_iou: 1.2056, d2.loss_cls: 2.0722, d2.loss_bbox: 0.8069, d2.loss_iou: 1.1877, d3.loss_cls: 2.0589, d3.loss_bbox: 0.7996, d3.loss_iou: 1.1797, d4.loss_cls: 2.0483, d4.loss_bbox: 0.7958, d4.loss_iou: 1.1757, loss: 24.4654, grad_norm: 14.6842 +2022-10-26 20:21:57,910 - mmdet - INFO - Epoch [11][950/1849] lr: 2.000e-04, eta: 2:47:10, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0506, loss_bbox: 0.7963, loss_iou: 1.1758, d0.loss_cls: 2.1494, d0.loss_bbox: 0.8420, d0.loss_iou: 1.2231, d1.loss_cls: 2.1107, d1.loss_bbox: 0.8230, d1.loss_iou: 1.2069, d2.loss_cls: 2.0827, d2.loss_bbox: 0.8087, d2.loss_iou: 1.1897, d3.loss_cls: 2.0686, d3.loss_bbox: 0.8014, d3.loss_iou: 1.1811, d4.loss_cls: 2.0557, d4.loss_bbox: 0.7978, d4.loss_iou: 1.1768, loss: 24.5402, grad_norm: 14.0331 +2022-10-26 20:22:04,912 - mmdet - INFO - Epoch [11][1000/1849] lr: 2.000e-04, eta: 2:47:03, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0319, loss_bbox: 0.7927, loss_iou: 1.1728, d0.loss_cls: 2.1242, d0.loss_bbox: 0.8397, d0.loss_iou: 1.2230, d1.loss_cls: 2.0892, d1.loss_bbox: 0.8193, d1.loss_iou: 1.2070, d2.loss_cls: 2.0595, d2.loss_bbox: 0.8062, d2.loss_iou: 1.1884, d3.loss_cls: 2.0475, d3.loss_bbox: 0.7980, d3.loss_iou: 1.1800, d4.loss_cls: 2.0358, d4.loss_bbox: 0.7945, d4.loss_iou: 1.1755, loss: 24.3853, grad_norm: 15.3643 +2022-10-26 20:22:11,977 - mmdet - INFO - Epoch [11][1050/1849] lr: 2.000e-04, eta: 2:46:57, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0395, loss_bbox: 0.7959, loss_iou: 1.1771, d0.loss_cls: 2.1365, d0.loss_bbox: 0.8425, d0.loss_iou: 1.2270, d1.loss_cls: 2.1017, d1.loss_bbox: 0.8229, d1.loss_iou: 1.2101, d2.loss_cls: 2.0723, d2.loss_bbox: 0.8093, d2.loss_iou: 1.1925, d3.loss_cls: 2.0568, d3.loss_bbox: 0.8015, d3.loss_iou: 1.1837, d4.loss_cls: 2.0448, d4.loss_bbox: 0.7978, d4.loss_iou: 1.1795, loss: 24.4915, grad_norm: 15.0707 +2022-10-26 20:22:19,021 - mmdet - INFO - Epoch [11][1100/1849] lr: 2.000e-04, eta: 2:46:51, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0449, loss_bbox: 0.7956, loss_iou: 1.1787, d0.loss_cls: 2.1396, d0.loss_bbox: 0.8417, d0.loss_iou: 1.2290, d1.loss_cls: 2.1044, d1.loss_bbox: 0.8231, d1.loss_iou: 1.2115, d2.loss_cls: 2.0779, d2.loss_bbox: 0.8081, d2.loss_iou: 1.1943, d3.loss_cls: 2.0612, d3.loss_bbox: 0.8004, d3.loss_iou: 1.1854, d4.loss_cls: 2.0499, d4.loss_bbox: 0.7972, d4.loss_iou: 1.1812, loss: 24.5244, grad_norm: 14.1039 +2022-10-26 20:22:25,698 - mmdet - INFO - Epoch [11][1150/1849] lr: 2.000e-04, eta: 2:46:43, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 2.0424, loss_bbox: 0.7887, loss_iou: 1.1672, d0.loss_cls: 2.1372, d0.loss_bbox: 0.8371, d0.loss_iou: 1.2164, d1.loss_cls: 2.1028, d1.loss_bbox: 0.8155, d1.loss_iou: 1.1990, d2.loss_cls: 2.0731, d2.loss_bbox: 0.8017, d2.loss_iou: 1.1821, d3.loss_cls: 2.0575, d3.loss_bbox: 0.7935, d3.loss_iou: 1.1737, d4.loss_cls: 2.0473, d4.loss_bbox: 0.7899, d4.loss_iou: 1.1701, loss: 24.3950, grad_norm: 13.7966 +2022-10-26 20:22:32,447 - mmdet - INFO - Epoch [11][1200/1849] lr: 2.000e-04, eta: 2:46:36, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 2.0470, loss_bbox: 0.7897, loss_iou: 1.1731, d0.loss_cls: 2.1422, d0.loss_bbox: 0.8392, d0.loss_iou: 1.2223, d1.loss_cls: 2.1064, d1.loss_bbox: 0.8171, d1.loss_iou: 1.2054, d2.loss_cls: 2.0774, d2.loss_bbox: 0.8029, d2.loss_iou: 1.1878, d3.loss_cls: 2.0635, d3.loss_bbox: 0.7956, d3.loss_iou: 1.1798, d4.loss_cls: 2.0532, d4.loss_bbox: 0.7914, d4.loss_iou: 1.1756, loss: 24.4697, grad_norm: 14.7371 +2022-10-26 20:22:39,422 - mmdet - INFO - Epoch [11][1250/1849] lr: 2.000e-04, eta: 2:46:29, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0419, loss_bbox: 0.7952, loss_iou: 1.1730, d0.loss_cls: 2.1302, d0.loss_bbox: 0.8409, d0.loss_iou: 1.2237, d1.loss_cls: 2.0998, d1.loss_bbox: 0.8214, d1.loss_iou: 1.2055, d2.loss_cls: 2.0711, d2.loss_bbox: 0.8066, d2.loss_iou: 1.1880, d3.loss_cls: 2.0565, d3.loss_bbox: 0.8004, d3.loss_iou: 1.1793, d4.loss_cls: 2.0453, d4.loss_bbox: 0.7966, d4.loss_iou: 1.1754, loss: 24.4508, grad_norm: 15.2198 +2022-10-26 20:22:46,287 - mmdet - INFO - Epoch [11][1300/1849] lr: 2.000e-04, eta: 2:46:23, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0421, loss_bbox: 0.7952, loss_iou: 1.1717, d0.loss_cls: 2.1375, d0.loss_bbox: 0.8425, d0.loss_iou: 1.2219, d1.loss_cls: 2.1042, d1.loss_bbox: 0.8238, d1.loss_iou: 1.2049, d2.loss_cls: 2.0769, d2.loss_bbox: 0.8081, d2.loss_iou: 1.1867, d3.loss_cls: 2.0614, d3.loss_bbox: 0.8006, d3.loss_iou: 1.1780, d4.loss_cls: 2.0494, d4.loss_bbox: 0.7973, d4.loss_iou: 1.1737, loss: 24.4759, grad_norm: 15.6886 +2022-10-26 20:22:53,181 - mmdet - INFO - Epoch [11][1350/1849] lr: 2.000e-04, eta: 2:46:16, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0476, loss_bbox: 0.7920, loss_iou: 1.1690, d0.loss_cls: 2.1446, d0.loss_bbox: 0.8386, d0.loss_iou: 1.2195, d1.loss_cls: 2.1095, d1.loss_bbox: 0.8191, d1.loss_iou: 1.2019, d2.loss_cls: 2.0783, d2.loss_bbox: 0.8055, d2.loss_iou: 1.1850, d3.loss_cls: 2.0642, d3.loss_bbox: 0.7980, d3.loss_iou: 1.1764, d4.loss_cls: 2.0537, d4.loss_bbox: 0.7934, d4.loss_iou: 1.1715, loss: 24.4680, grad_norm: 15.5540 +2022-10-26 20:23:00,049 - mmdet - INFO - Epoch [11][1400/1849] lr: 2.000e-04, eta: 2:46:09, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0452, loss_bbox: 0.7942, loss_iou: 1.1695, d0.loss_cls: 2.1376, d0.loss_bbox: 0.8408, d0.loss_iou: 1.2200, d1.loss_cls: 2.1064, d1.loss_bbox: 0.8216, d1.loss_iou: 1.2026, d2.loss_cls: 2.0798, d2.loss_bbox: 0.8070, d2.loss_iou: 1.1853, d3.loss_cls: 2.0633, d3.loss_bbox: 0.7995, d3.loss_iou: 1.1770, d4.loss_cls: 2.0503, d4.loss_bbox: 0.7957, d4.loss_iou: 1.1725, loss: 24.4684, grad_norm: 13.7113 +2022-10-26 20:23:07,081 - mmdet - INFO - Epoch [11][1450/1849] lr: 2.000e-04, eta: 2:46:03, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0545, loss_bbox: 0.7918, loss_iou: 1.1694, d0.loss_cls: 2.1501, d0.loss_bbox: 0.8404, d0.loss_iou: 1.2185, d1.loss_cls: 2.1169, d1.loss_bbox: 0.8198, d1.loss_iou: 1.2010, d2.loss_cls: 2.0916, d2.loss_bbox: 0.8053, d2.loss_iou: 1.1834, d3.loss_cls: 2.0733, d3.loss_bbox: 0.7975, d3.loss_iou: 1.1758, d4.loss_cls: 2.0606, d4.loss_bbox: 0.7933, d4.loss_iou: 1.1715, loss: 24.5148, grad_norm: 14.3410 +2022-10-26 20:23:13,993 - mmdet - INFO - Epoch [11][1500/1849] lr: 2.000e-04, eta: 2:45:56, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0482, loss_bbox: 0.7959, loss_iou: 1.1779, d0.loss_cls: 2.1437, d0.loss_bbox: 0.8402, d0.loss_iou: 1.2260, d1.loss_cls: 2.1100, d1.loss_bbox: 0.8221, d1.loss_iou: 1.2092, d2.loss_cls: 2.0781, d2.loss_bbox: 0.8079, d2.loss_iou: 1.1918, d3.loss_cls: 2.0642, d3.loss_bbox: 0.8010, d3.loss_iou: 1.1838, d4.loss_cls: 2.0541, d4.loss_bbox: 0.7978, d4.loss_iou: 1.1801, loss: 24.5320, grad_norm: 16.1960 +2022-10-26 20:23:20,815 - mmdet - INFO - Epoch [11][1550/1849] lr: 2.000e-04, eta: 2:45:49, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0512, loss_bbox: 0.7961, loss_iou: 1.1704, d0.loss_cls: 2.1424, d0.loss_bbox: 0.8420, d0.loss_iou: 1.2198, d1.loss_cls: 2.1074, d1.loss_bbox: 0.8238, d1.loss_iou: 1.2040, d2.loss_cls: 2.0817, d2.loss_bbox: 0.8098, d2.loss_iou: 1.1867, d3.loss_cls: 2.0683, d3.loss_bbox: 0.8022, d3.loss_iou: 1.1772, d4.loss_cls: 2.0556, d4.loss_bbox: 0.7975, d4.loss_iou: 1.1727, loss: 24.5087, grad_norm: 14.2888 +2022-10-26 20:23:27,667 - mmdet - INFO - Epoch [11][1600/1849] lr: 2.000e-04, eta: 2:45:42, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0490, loss_bbox: 0.7968, loss_iou: 1.1744, d0.loss_cls: 2.1470, d0.loss_bbox: 0.8442, d0.loss_iou: 1.2268, d1.loss_cls: 2.1102, d1.loss_bbox: 0.8245, d1.loss_iou: 1.2072, d2.loss_cls: 2.0819, d2.loss_bbox: 0.8106, d2.loss_iou: 1.1889, d3.loss_cls: 2.0647, d3.loss_bbox: 0.8037, d3.loss_iou: 1.1807, d4.loss_cls: 2.0550, d4.loss_bbox: 0.7986, d4.loss_iou: 1.1767, loss: 24.5409, grad_norm: 15.9114 +2022-10-26 20:23:34,571 - mmdet - INFO - Epoch [11][1650/1849] lr: 2.000e-04, eta: 2:45:35, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0559, loss_bbox: 0.7924, loss_iou: 1.1683, d0.loss_cls: 2.1504, d0.loss_bbox: 0.8407, d0.loss_iou: 1.2193, d1.loss_cls: 2.1149, d1.loss_bbox: 0.8195, d1.loss_iou: 1.2007, d2.loss_cls: 2.0872, d2.loss_bbox: 0.8046, d2.loss_iou: 1.1836, d3.loss_cls: 2.0723, d3.loss_bbox: 0.7975, d3.loss_iou: 1.1749, d4.loss_cls: 2.0600, d4.loss_bbox: 0.7944, d4.loss_iou: 1.1709, loss: 24.5073, grad_norm: 15.2721 +2022-10-26 20:23:41,504 - mmdet - INFO - Epoch [11][1700/1849] lr: 2.000e-04, eta: 2:45:29, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0515, loss_bbox: 0.7972, loss_iou: 1.1706, d0.loss_cls: 2.1460, d0.loss_bbox: 0.8426, d0.loss_iou: 1.2199, d1.loss_cls: 2.1106, d1.loss_bbox: 0.8249, d1.loss_iou: 1.2036, d2.loss_cls: 2.0823, d2.loss_bbox: 0.8103, d2.loss_iou: 1.1858, d3.loss_cls: 2.0687, d3.loss_bbox: 0.8032, d3.loss_iou: 1.1769, d4.loss_cls: 2.0574, d4.loss_bbox: 0.7991, d4.loss_iou: 1.1735, loss: 24.5243, grad_norm: 15.4370 +2022-10-26 20:23:48,398 - mmdet - INFO - Epoch [11][1750/1849] lr: 2.000e-04, eta: 2:45:22, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0547, loss_bbox: 0.7914, loss_iou: 1.1639, d0.loss_cls: 2.1488, d0.loss_bbox: 0.8390, d0.loss_iou: 1.2155, d1.loss_cls: 2.1157, d1.loss_bbox: 0.8188, d1.loss_iou: 1.1970, d2.loss_cls: 2.0848, d2.loss_bbox: 0.8040, d2.loss_iou: 1.1800, d3.loss_cls: 2.0708, d3.loss_bbox: 0.7967, d3.loss_iou: 1.1707, d4.loss_cls: 2.0595, d4.loss_bbox: 0.7931, d4.loss_iou: 1.1665, loss: 24.4710, grad_norm: 15.3015 +2022-10-26 20:23:55,086 - mmdet - INFO - Epoch [11][1800/1849] lr: 2.000e-04, eta: 2:45:14, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 2.0576, loss_bbox: 0.7960, loss_iou: 1.1755, d0.loss_cls: 2.1476, d0.loss_bbox: 0.8431, d0.loss_iou: 1.2275, d1.loss_cls: 2.1140, d1.loss_bbox: 0.8239, d1.loss_iou: 1.2094, d2.loss_cls: 2.0844, d2.loss_bbox: 0.8095, d2.loss_iou: 1.1914, d3.loss_cls: 2.0744, d3.loss_bbox: 0.8020, d3.loss_iou: 1.1821, d4.loss_cls: 2.0638, d4.loss_bbox: 0.7971, d4.loss_iou: 1.1777, loss: 24.5770, grad_norm: 13.9500 +2022-10-26 20:24:01,982 - mmdet - INFO - Saving checkpoint at 11 epochs +2022-10-26 20:24:12,573 - mmdet - INFO - Epoch [12][50/1849] lr: 2.000e-04, eta: 2:44:48, time: 0.198, data_time: 0.063, memory: 4401, loss_cls: 2.0366, loss_bbox: 0.7920, loss_iou: 1.1706, d0.loss_cls: 2.1365, d0.loss_bbox: 0.8389, d0.loss_iou: 1.2197, d1.loss_cls: 2.0987, d1.loss_bbox: 0.8190, d1.loss_iou: 1.2027, d2.loss_cls: 2.0700, d2.loss_bbox: 0.8054, d2.loss_iou: 1.1843, d3.loss_cls: 2.0560, d3.loss_bbox: 0.7978, d3.loss_iou: 1.1762, d4.loss_cls: 2.0441, d4.loss_bbox: 0.7935, d4.loss_iou: 1.1724, loss: 24.4143, grad_norm: 15.1124 +2022-10-26 20:24:19,578 - mmdet - INFO - Epoch [12][100/1849] lr: 2.000e-04, eta: 2:44:41, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0354, loss_bbox: 0.7877, loss_iou: 1.1656, d0.loss_cls: 2.1349, d0.loss_bbox: 0.8351, d0.loss_iou: 1.2167, d1.loss_cls: 2.0959, d1.loss_bbox: 0.8160, d1.loss_iou: 1.1979, d2.loss_cls: 2.0685, d2.loss_bbox: 0.8009, d2.loss_iou: 1.1799, d3.loss_cls: 2.0545, d3.loss_bbox: 0.7932, d3.loss_iou: 1.1724, d4.loss_cls: 2.0415, d4.loss_bbox: 0.7889, d4.loss_iou: 1.1682, loss: 24.3533, grad_norm: 14.8458 +2022-10-26 20:24:26,407 - mmdet - INFO - Epoch [12][150/1849] lr: 2.000e-04, eta: 2:44:34, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0346, loss_bbox: 0.7960, loss_iou: 1.1713, d0.loss_cls: 2.1375, d0.loss_bbox: 0.8436, d0.loss_iou: 1.2219, d1.loss_cls: 2.0996, d1.loss_bbox: 0.8227, d1.loss_iou: 1.2035, d2.loss_cls: 2.0678, d2.loss_bbox: 0.8089, d2.loss_iou: 1.1867, d3.loss_cls: 2.0526, d3.loss_bbox: 0.8012, d3.loss_iou: 1.1786, d4.loss_cls: 2.0417, d4.loss_bbox: 0.7971, d4.loss_iou: 1.1737, loss: 24.4390, grad_norm: 13.2122 +2022-10-26 20:24:33,345 - mmdet - INFO - Epoch [12][200/1849] lr: 2.000e-04, eta: 2:44:28, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0182, loss_bbox: 0.7893, loss_iou: 1.1682, d0.loss_cls: 2.1225, d0.loss_bbox: 0.8367, d0.loss_iou: 1.2185, d1.loss_cls: 2.0812, d1.loss_bbox: 0.8171, d1.loss_iou: 1.2009, d2.loss_cls: 2.0485, d2.loss_bbox: 0.8023, d2.loss_iou: 1.1825, d3.loss_cls: 2.0386, d3.loss_bbox: 0.7951, d3.loss_iou: 1.1747, d4.loss_cls: 2.0246, d4.loss_bbox: 0.7910, d4.loss_iou: 1.1703, loss: 24.2802, grad_norm: 15.4053 +2022-10-26 20:24:40,105 - mmdet - INFO - Epoch [12][250/1849] lr: 2.000e-04, eta: 2:44:20, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 2.0245, loss_bbox: 0.7864, loss_iou: 1.1638, d0.loss_cls: 2.1188, d0.loss_bbox: 0.8356, d0.loss_iou: 1.2163, d1.loss_cls: 2.0824, d1.loss_bbox: 0.8151, d1.loss_iou: 1.1981, d2.loss_cls: 2.0564, d2.loss_bbox: 0.7999, d2.loss_iou: 1.1797, d3.loss_cls: 2.0403, d3.loss_bbox: 0.7924, d3.loss_iou: 1.1709, d4.loss_cls: 2.0306, d4.loss_bbox: 0.7875, d4.loss_iou: 1.1665, loss: 24.2652, grad_norm: 13.8285 +2022-10-26 20:24:46,861 - mmdet - INFO - Epoch [12][300/1849] lr: 2.000e-04, eta: 2:44:13, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 2.0561, loss_bbox: 0.7904, loss_iou: 1.1694, d0.loss_cls: 2.1562, d0.loss_bbox: 0.8382, d0.loss_iou: 1.2198, d1.loss_cls: 2.1218, d1.loss_bbox: 0.8174, d1.loss_iou: 1.2019, d2.loss_cls: 2.0900, d2.loss_bbox: 0.8044, d2.loss_iou: 1.1842, d3.loss_cls: 2.0757, d3.loss_bbox: 0.7956, d3.loss_iou: 1.1757, d4.loss_cls: 2.0616, d4.loss_bbox: 0.7910, d4.loss_iou: 1.1716, loss: 24.5210, grad_norm: 15.0177 +2022-10-26 20:24:53,891 - mmdet - INFO - Epoch [12][350/1849] lr: 2.000e-04, eta: 2:44:07, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0265, loss_bbox: 0.7911, loss_iou: 1.1676, d0.loss_cls: 2.1267, d0.loss_bbox: 0.8387, d0.loss_iou: 1.2184, d1.loss_cls: 2.0865, d1.loss_bbox: 0.8197, d1.loss_iou: 1.2002, d2.loss_cls: 2.0590, d2.loss_bbox: 0.8047, d2.loss_iou: 1.1824, d3.loss_cls: 2.0437, d3.loss_bbox: 0.7971, d3.loss_iou: 1.1746, d4.loss_cls: 2.0325, d4.loss_bbox: 0.7925, d4.loss_iou: 1.1699, loss: 24.3319, grad_norm: 15.6542 +2022-10-26 20:25:00,936 - mmdet - INFO - Epoch [12][400/1849] lr: 2.000e-04, eta: 2:44:01, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0271, loss_bbox: 0.7888, loss_iou: 1.1710, d0.loss_cls: 2.1302, d0.loss_bbox: 0.8347, d0.loss_iou: 1.2225, d1.loss_cls: 2.0893, d1.loss_bbox: 0.8162, d1.loss_iou: 1.2034, d2.loss_cls: 2.0604, d2.loss_bbox: 0.8015, d2.loss_iou: 1.1865, d3.loss_cls: 2.0468, d3.loss_bbox: 0.7944, d3.loss_iou: 1.1776, d4.loss_cls: 2.0336, d4.loss_bbox: 0.7907, d4.loss_iou: 1.1727, loss: 24.3473, grad_norm: 17.6529 +2022-10-26 20:25:07,949 - mmdet - INFO - Epoch [12][450/1849] lr: 2.000e-04, eta: 2:43:54, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0252, loss_bbox: 0.7909, loss_iou: 1.1713, d0.loss_cls: 2.1211, d0.loss_bbox: 0.8383, d0.loss_iou: 1.2197, d1.loss_cls: 2.0893, d1.loss_bbox: 0.8188, d1.loss_iou: 1.2036, d2.loss_cls: 2.0588, d2.loss_bbox: 0.8043, d2.loss_iou: 1.1860, d3.loss_cls: 2.0422, d3.loss_bbox: 0.7972, d3.loss_iou: 1.1776, d4.loss_cls: 2.0328, d4.loss_bbox: 0.7929, d4.loss_iou: 1.1731, loss: 24.3431, grad_norm: 15.1461 +2022-10-26 20:25:14,942 - mmdet - INFO - Epoch [12][500/1849] lr: 2.000e-04, eta: 2:43:48, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0379, loss_bbox: 0.7901, loss_iou: 1.1703, d0.loss_cls: 2.1377, d0.loss_bbox: 0.8373, d0.loss_iou: 1.2203, d1.loss_cls: 2.1022, d1.loss_bbox: 0.8182, d1.loss_iou: 1.2028, d2.loss_cls: 2.0724, d2.loss_bbox: 0.8033, d2.loss_iou: 1.1856, d3.loss_cls: 2.0544, d3.loss_bbox: 0.7963, d3.loss_iou: 1.1770, d4.loss_cls: 2.0438, d4.loss_bbox: 0.7921, d4.loss_iou: 1.1727, loss: 24.4145, grad_norm: 15.1635 +2022-10-26 20:25:21,841 - mmdet - INFO - Epoch [12][550/1849] lr: 2.000e-04, eta: 2:43:41, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0395, loss_bbox: 0.7905, loss_iou: 1.1691, d0.loss_cls: 2.1328, d0.loss_bbox: 0.8377, d0.loss_iou: 1.2206, d1.loss_cls: 2.1017, d1.loss_bbox: 0.8190, d1.loss_iou: 1.2039, d2.loss_cls: 2.0701, d2.loss_bbox: 0.8040, d2.loss_iou: 1.1846, d3.loss_cls: 2.0554, d3.loss_bbox: 0.7960, d3.loss_iou: 1.1755, d4.loss_cls: 2.0465, d4.loss_bbox: 0.7917, d4.loss_iou: 1.1718, loss: 24.4105, grad_norm: 14.0404 +2022-10-26 20:25:28,827 - mmdet - INFO - Epoch [12][600/1849] lr: 2.000e-04, eta: 2:43:35, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0352, loss_bbox: 0.7891, loss_iou: 1.1677, d0.loss_cls: 2.1332, d0.loss_bbox: 0.8363, d0.loss_iou: 1.2181, d1.loss_cls: 2.0989, d1.loss_bbox: 0.8175, d1.loss_iou: 1.2008, d2.loss_cls: 2.0674, d2.loss_bbox: 0.8029, d2.loss_iou: 1.1834, d3.loss_cls: 2.0526, d3.loss_bbox: 0.7949, d3.loss_iou: 1.1741, d4.loss_cls: 2.0417, d4.loss_bbox: 0.7907, d4.loss_iou: 1.1701, loss: 24.3746, grad_norm: 14.6000 +2022-10-26 20:25:35,732 - mmdet - INFO - Epoch [12][650/1849] lr: 2.000e-04, eta: 2:43:28, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0362, loss_bbox: 0.7894, loss_iou: 1.1687, d0.loss_cls: 2.1333, d0.loss_bbox: 0.8372, d0.loss_iou: 1.2196, d1.loss_cls: 2.0952, d1.loss_bbox: 0.8151, d1.loss_iou: 1.2006, d2.loss_cls: 2.0675, d2.loss_bbox: 0.8014, d2.loss_iou: 1.1831, d3.loss_cls: 2.0529, d3.loss_bbox: 0.7949, d3.loss_iou: 1.1751, d4.loss_cls: 2.0424, d4.loss_bbox: 0.7911, d4.loss_iou: 1.1711, loss: 24.3748, grad_norm: 14.0037 +2022-10-26 20:25:42,784 - mmdet - INFO - Epoch [12][700/1849] lr: 2.000e-04, eta: 2:43:22, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0193, loss_bbox: 0.7908, loss_iou: 1.1706, d0.loss_cls: 2.1166, d0.loss_bbox: 0.8396, d0.loss_iou: 1.2215, d1.loss_cls: 2.0809, d1.loss_bbox: 0.8194, d1.loss_iou: 1.2030, d2.loss_cls: 2.0530, d2.loss_bbox: 0.8052, d2.loss_iou: 1.1846, d3.loss_cls: 2.0359, d3.loss_bbox: 0.7974, d3.loss_iou: 1.1767, d4.loss_cls: 2.0261, d4.loss_bbox: 0.7931, d4.loss_iou: 1.1726, loss: 24.3064, grad_norm: 15.2483 +2022-10-26 20:25:49,747 - mmdet - INFO - Epoch [12][750/1849] lr: 2.000e-04, eta: 2:43:15, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0474, loss_bbox: 0.7914, loss_iou: 1.1686, d0.loss_cls: 2.1471, d0.loss_bbox: 0.8381, d0.loss_iou: 1.2204, d1.loss_cls: 2.1126, d1.loss_bbox: 0.8194, d1.loss_iou: 1.2026, d2.loss_cls: 2.0816, d2.loss_bbox: 0.8049, d2.loss_iou: 1.1835, d3.loss_cls: 2.0662, d3.loss_bbox: 0.7971, d3.loss_iou: 1.1745, d4.loss_cls: 2.0551, d4.loss_bbox: 0.7932, d4.loss_iou: 1.1708, loss: 24.4746, grad_norm: 14.9451 +2022-10-26 20:25:56,597 - mmdet - INFO - Epoch [12][800/1849] lr: 2.000e-04, eta: 2:43:08, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0335, loss_bbox: 0.7928, loss_iou: 1.1775, d0.loss_cls: 2.1334, d0.loss_bbox: 0.8391, d0.loss_iou: 1.2275, d1.loss_cls: 2.0945, d1.loss_bbox: 0.8191, d1.loss_iou: 1.2101, d2.loss_cls: 2.0640, d2.loss_bbox: 0.8056, d2.loss_iou: 1.1931, d3.loss_cls: 2.0529, d3.loss_bbox: 0.7985, d3.loss_iou: 1.1844, d4.loss_cls: 2.0398, d4.loss_bbox: 0.7946, d4.loss_iou: 1.1799, loss: 24.4403, grad_norm: 16.0122 +2022-10-26 20:26:03,238 - mmdet - INFO - Epoch [12][850/1849] lr: 2.000e-04, eta: 2:43:01, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 2.0350, loss_bbox: 0.7927, loss_iou: 1.1721, d0.loss_cls: 2.1408, d0.loss_bbox: 0.8398, d0.loss_iou: 1.2218, d1.loss_cls: 2.1004, d1.loss_bbox: 0.8207, d1.loss_iou: 1.2046, d2.loss_cls: 2.0676, d2.loss_bbox: 0.8053, d2.loss_iou: 1.1878, d3.loss_cls: 2.0530, d3.loss_bbox: 0.7978, d3.loss_iou: 1.1785, d4.loss_cls: 2.0427, d4.loss_bbox: 0.7936, d4.loss_iou: 1.1743, loss: 24.4287, grad_norm: 15.9072 +2022-10-26 20:26:09,908 - mmdet - INFO - Epoch [12][900/1849] lr: 2.000e-04, eta: 2:42:53, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 2.0308, loss_bbox: 0.7949, loss_iou: 1.1641, d0.loss_cls: 2.1281, d0.loss_bbox: 0.8419, d0.loss_iou: 1.2164, d1.loss_cls: 2.0919, d1.loss_bbox: 0.8222, d1.loss_iou: 1.1977, d2.loss_cls: 2.0607, d2.loss_bbox: 0.8076, d2.loss_iou: 1.1801, d3.loss_cls: 2.0480, d3.loss_bbox: 0.7999, d3.loss_iou: 1.1715, d4.loss_cls: 2.0370, d4.loss_bbox: 0.7964, d4.loss_iou: 1.1661, loss: 24.3553, grad_norm: 16.0156 +2022-10-26 20:26:16,782 - mmdet - INFO - Epoch [12][950/1849] lr: 2.000e-04, eta: 2:42:46, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0403, loss_bbox: 0.7904, loss_iou: 1.1698, d0.loss_cls: 2.1413, d0.loss_bbox: 0.8363, d0.loss_iou: 1.2190, d1.loss_cls: 2.1034, d1.loss_bbox: 0.8179, d1.loss_iou: 1.2017, d2.loss_cls: 2.0753, d2.loss_bbox: 0.8034, d2.loss_iou: 1.1846, d3.loss_cls: 2.0605, d3.loss_bbox: 0.7952, d3.loss_iou: 1.1761, d4.loss_cls: 2.0476, d4.loss_bbox: 0.7914, d4.loss_iou: 1.1713, loss: 24.4255, grad_norm: 14.8056 +2022-10-26 20:26:23,630 - mmdet - INFO - Epoch [12][1000/1849] lr: 2.000e-04, eta: 2:42:40, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0468, loss_bbox: 0.7942, loss_iou: 1.1669, d0.loss_cls: 2.1457, d0.loss_bbox: 0.8426, d0.loss_iou: 1.2190, d1.loss_cls: 2.1074, d1.loss_bbox: 0.8224, d1.loss_iou: 1.2008, d2.loss_cls: 2.0758, d2.loss_bbox: 0.8077, d2.loss_iou: 1.1830, d3.loss_cls: 2.0624, d3.loss_bbox: 0.7998, d3.loss_iou: 1.1741, d4.loss_cls: 2.0500, d4.loss_bbox: 0.7960, d4.loss_iou: 1.1688, loss: 24.4635, grad_norm: 14.6083 +2022-10-26 20:26:30,472 - mmdet - INFO - Epoch [12][1050/1849] lr: 2.000e-04, eta: 2:42:33, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0386, loss_bbox: 0.7895, loss_iou: 1.1668, d0.loss_cls: 2.1362, d0.loss_bbox: 0.8366, d0.loss_iou: 1.2162, d1.loss_cls: 2.1004, d1.loss_bbox: 0.8176, d1.loss_iou: 1.1990, d2.loss_cls: 2.0705, d2.loss_bbox: 0.8032, d2.loss_iou: 1.1820, d3.loss_cls: 2.0572, d3.loss_bbox: 0.7953, d3.loss_iou: 1.1734, d4.loss_cls: 2.0448, d4.loss_bbox: 0.7914, d4.loss_iou: 1.1690, loss: 24.3879, grad_norm: 14.9593 +2022-10-26 20:26:37,374 - mmdet - INFO - Epoch [12][1100/1849] lr: 2.000e-04, eta: 2:42:26, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0556, loss_bbox: 0.7895, loss_iou: 1.1711, d0.loss_cls: 2.1517, d0.loss_bbox: 0.8363, d0.loss_iou: 1.2229, d1.loss_cls: 2.1167, d1.loss_bbox: 0.8179, d1.loss_iou: 1.2051, d2.loss_cls: 2.0867, d2.loss_bbox: 0.8040, d2.loss_iou: 1.1863, d3.loss_cls: 2.0733, d3.loss_bbox: 0.7955, d3.loss_iou: 1.1775, d4.loss_cls: 2.0614, d4.loss_bbox: 0.7917, d4.loss_iou: 1.1732, loss: 24.5165, grad_norm: 15.0893 +2022-10-26 20:26:44,084 - mmdet - INFO - Epoch [12][1150/1849] lr: 2.000e-04, eta: 2:42:18, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 2.0235, loss_bbox: 0.7924, loss_iou: 1.1748, d0.loss_cls: 2.1164, d0.loss_bbox: 0.8392, d0.loss_iou: 1.2260, d1.loss_cls: 2.0829, d1.loss_bbox: 0.8205, d1.loss_iou: 1.2076, d2.loss_cls: 2.0534, d2.loss_bbox: 0.8061, d2.loss_iou: 1.1899, d3.loss_cls: 2.0403, d3.loss_bbox: 0.7985, d3.loss_iou: 1.1815, d4.loss_cls: 2.0282, d4.loss_bbox: 0.7944, d4.loss_iou: 1.1778, loss: 24.3532, grad_norm: 15.1954 +2022-10-26 20:26:50,825 - mmdet - INFO - Epoch [12][1200/1849] lr: 2.000e-04, eta: 2:42:11, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 2.0524, loss_bbox: 0.7900, loss_iou: 1.1714, d0.loss_cls: 2.1479, d0.loss_bbox: 0.8387, d0.loss_iou: 1.2230, d1.loss_cls: 2.1169, d1.loss_bbox: 0.8193, d1.loss_iou: 1.2041, d2.loss_cls: 2.0834, d2.loss_bbox: 0.8036, d2.loss_iou: 1.1865, d3.loss_cls: 2.0680, d3.loss_bbox: 0.7955, d3.loss_iou: 1.1777, d4.loss_cls: 2.0567, d4.loss_bbox: 0.7910, d4.loss_iou: 1.1739, loss: 24.5000, grad_norm: 14.5956 +2022-10-26 20:26:57,553 - mmdet - INFO - Epoch [12][1250/1849] lr: 2.000e-04, eta: 2:42:04, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 2.0305, loss_bbox: 0.7919, loss_iou: 1.1689, d0.loss_cls: 2.1253, d0.loss_bbox: 0.8382, d0.loss_iou: 1.2209, d1.loss_cls: 2.0923, d1.loss_bbox: 0.8195, d1.loss_iou: 1.2027, d2.loss_cls: 2.0635, d2.loss_bbox: 0.8059, d2.loss_iou: 1.1845, d3.loss_cls: 2.0464, d3.loss_bbox: 0.7983, d3.loss_iou: 1.1771, d4.loss_cls: 2.0362, d4.loss_bbox: 0.7932, d4.loss_iou: 1.1716, loss: 24.3669, grad_norm: 14.3190 +2022-10-26 20:27:04,252 - mmdet - INFO - Epoch [12][1300/1849] lr: 2.000e-04, eta: 2:41:57, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 2.0409, loss_bbox: 0.7905, loss_iou: 1.1675, d0.loss_cls: 2.1384, d0.loss_bbox: 0.8379, d0.loss_iou: 1.2171, d1.loss_cls: 2.1050, d1.loss_bbox: 0.8183, d1.loss_iou: 1.1997, d2.loss_cls: 2.0766, d2.loss_bbox: 0.8038, d2.loss_iou: 1.1819, d3.loss_cls: 2.0608, d3.loss_bbox: 0.7962, d3.loss_iou: 1.1738, d4.loss_cls: 2.0486, d4.loss_bbox: 0.7921, d4.loss_iou: 1.1695, loss: 24.4185, grad_norm: 14.8847 +2022-10-26 20:27:11,020 - mmdet - INFO - Epoch [12][1350/1849] lr: 2.000e-04, eta: 2:41:49, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 2.0315, loss_bbox: 0.7905, loss_iou: 1.1681, d0.loss_cls: 2.1294, d0.loss_bbox: 0.8384, d0.loss_iou: 1.2211, d1.loss_cls: 2.0946, d1.loss_bbox: 0.8185, d1.loss_iou: 1.2017, d2.loss_cls: 2.0671, d2.loss_bbox: 0.8032, d2.loss_iou: 1.1836, d3.loss_cls: 2.0496, d3.loss_bbox: 0.7950, d3.loss_iou: 1.1746, d4.loss_cls: 2.0382, d4.loss_bbox: 0.7914, d4.loss_iou: 1.1704, loss: 24.3669, grad_norm: 14.7055 +2022-10-26 20:27:17,885 - mmdet - INFO - Epoch [12][1400/1849] lr: 2.000e-04, eta: 2:41:42, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0374, loss_bbox: 0.7869, loss_iou: 1.1685, d0.loss_cls: 2.1367, d0.loss_bbox: 0.8358, d0.loss_iou: 1.2216, d1.loss_cls: 2.0992, d1.loss_bbox: 0.8165, d1.loss_iou: 1.2029, d2.loss_cls: 2.0714, d2.loss_bbox: 0.8026, d2.loss_iou: 1.1841, d3.loss_cls: 2.0551, d3.loss_bbox: 0.7938, d3.loss_iou: 1.1752, d4.loss_cls: 2.0418, d4.loss_bbox: 0.7886, d4.loss_iou: 1.1709, loss: 24.3888, grad_norm: 14.5322 +2022-10-26 20:27:24,759 - mmdet - INFO - Epoch [12][1450/1849] lr: 2.000e-04, eta: 2:41:36, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0315, loss_bbox: 0.7888, loss_iou: 1.1684, d0.loss_cls: 2.1270, d0.loss_bbox: 0.8369, d0.loss_iou: 1.2208, d1.loss_cls: 2.0942, d1.loss_bbox: 0.8180, d1.loss_iou: 1.2027, d2.loss_cls: 2.0642, d2.loss_bbox: 0.8038, d2.loss_iou: 1.1844, d3.loss_cls: 2.0493, d3.loss_bbox: 0.7951, d3.loss_iou: 1.1758, d4.loss_cls: 2.0386, d4.loss_bbox: 0.7905, d4.loss_iou: 1.1713, loss: 24.3613, grad_norm: 14.6649 +2022-10-26 20:27:31,665 - mmdet - INFO - Epoch [12][1500/1849] lr: 2.000e-04, eta: 2:41:29, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0422, loss_bbox: 0.7866, loss_iou: 1.1716, d0.loss_cls: 2.1384, d0.loss_bbox: 0.8340, d0.loss_iou: 1.2207, d1.loss_cls: 2.1046, d1.loss_bbox: 0.8151, d1.loss_iou: 1.2047, d2.loss_cls: 2.0758, d2.loss_bbox: 0.8004, d2.loss_iou: 1.1867, d3.loss_cls: 2.0602, d3.loss_bbox: 0.7928, d3.loss_iou: 1.1772, d4.loss_cls: 2.0488, d4.loss_bbox: 0.7885, d4.loss_iou: 1.1736, loss: 24.4218, grad_norm: 15.7433 +2022-10-26 20:27:38,479 - mmdet - INFO - Epoch [12][1550/1849] lr: 2.000e-04, eta: 2:41:22, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0319, loss_bbox: 0.7936, loss_iou: 1.1690, d0.loss_cls: 2.1340, d0.loss_bbox: 0.8397, d0.loss_iou: 1.2213, d1.loss_cls: 2.0935, d1.loss_bbox: 0.8207, d1.loss_iou: 1.2030, d2.loss_cls: 2.0654, d2.loss_bbox: 0.8066, d2.loss_iou: 1.1847, d3.loss_cls: 2.0499, d3.loss_bbox: 0.7986, d3.loss_iou: 1.1762, d4.loss_cls: 2.0383, d4.loss_bbox: 0.7950, d4.loss_iou: 1.1706, loss: 24.3919, grad_norm: 13.8157 +2022-10-26 20:27:45,204 - mmdet - INFO - Epoch [12][1600/1849] lr: 2.000e-04, eta: 2:41:15, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 2.0341, loss_bbox: 0.7901, loss_iou: 1.1673, d0.loss_cls: 2.1306, d0.loss_bbox: 0.8367, d0.loss_iou: 1.2181, d1.loss_cls: 2.0959, d1.loss_bbox: 0.8181, d1.loss_iou: 1.1990, d2.loss_cls: 2.0656, d2.loss_bbox: 0.8035, d2.loss_iou: 1.1812, d3.loss_cls: 2.0508, d3.loss_bbox: 0.7958, d3.loss_iou: 1.1729, d4.loss_cls: 2.0411, d4.loss_bbox: 0.7914, d4.loss_iou: 1.1693, loss: 24.3615, grad_norm: 14.4880 +2022-10-26 20:27:51,986 - mmdet - INFO - Epoch [12][1650/1849] lr: 2.000e-04, eta: 2:41:08, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 2.0396, loss_bbox: 0.7899, loss_iou: 1.1657, d0.loss_cls: 2.1338, d0.loss_bbox: 0.8381, d0.loss_iou: 1.2157, d1.loss_cls: 2.0983, d1.loss_bbox: 0.8185, d1.loss_iou: 1.1975, d2.loss_cls: 2.0681, d2.loss_bbox: 0.8040, d2.loss_iou: 1.1799, d3.loss_cls: 2.0563, d3.loss_bbox: 0.7958, d3.loss_iou: 1.1717, d4.loss_cls: 2.0466, d4.loss_bbox: 0.7919, d4.loss_iou: 1.1673, loss: 24.3789, grad_norm: 14.0732 +2022-10-26 20:27:58,895 - mmdet - INFO - Epoch [12][1700/1849] lr: 2.000e-04, eta: 2:41:01, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0331, loss_bbox: 0.7878, loss_iou: 1.1686, d0.loss_cls: 2.1276, d0.loss_bbox: 0.8368, d0.loss_iou: 1.2221, d1.loss_cls: 2.0929, d1.loss_bbox: 0.8174, d1.loss_iou: 1.2030, d2.loss_cls: 2.0641, d2.loss_bbox: 0.8026, d2.loss_iou: 1.1852, d3.loss_cls: 2.0482, d3.loss_bbox: 0.7943, d3.loss_iou: 1.1754, d4.loss_cls: 2.0361, d4.loss_bbox: 0.7898, d4.loss_iou: 1.1719, loss: 24.3572, grad_norm: 14.0852 +2022-10-26 20:28:05,639 - mmdet - INFO - Epoch [12][1750/1849] lr: 2.000e-04, eta: 2:40:54, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 2.0327, loss_bbox: 0.7912, loss_iou: 1.1695, d0.loss_cls: 2.1325, d0.loss_bbox: 0.8384, d0.loss_iou: 1.2205, d1.loss_cls: 2.0951, d1.loss_bbox: 0.8189, d1.loss_iou: 1.2016, d2.loss_cls: 2.0640, d2.loss_bbox: 0.8046, d2.loss_iou: 1.1844, d3.loss_cls: 2.0486, d3.loss_bbox: 0.7965, d3.loss_iou: 1.1757, d4.loss_cls: 2.0386, d4.loss_bbox: 0.7929, d4.loss_iou: 1.1718, loss: 24.3775, grad_norm: 15.1991 +2022-10-26 20:28:12,410 - mmdet - INFO - Epoch [12][1800/1849] lr: 2.000e-04, eta: 2:40:46, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 2.0270, loss_bbox: 0.7884, loss_iou: 1.1685, d0.loss_cls: 2.1206, d0.loss_bbox: 0.8355, d0.loss_iou: 1.2200, d1.loss_cls: 2.0845, d1.loss_bbox: 0.8165, d1.loss_iou: 1.2027, d2.loss_cls: 2.0564, d2.loss_bbox: 0.8026, d2.loss_iou: 1.1844, d3.loss_cls: 2.0428, d3.loss_bbox: 0.7943, d3.loss_iou: 1.1771, d4.loss_cls: 2.0306, d4.loss_bbox: 0.7907, d4.loss_iou: 1.1710, loss: 24.3137, grad_norm: 14.4317 +2022-10-26 20:28:19,117 - mmdet - INFO - Saving checkpoint at 12 epochs +2022-10-26 20:28:29,887 - mmdet - INFO - Epoch [13][50/1849] lr: 2.000e-04, eta: 2:40:22, time: 0.203, data_time: 0.063, memory: 4401, loss_cls: 2.0188, loss_bbox: 0.7863, loss_iou: 1.1632, d0.loss_cls: 2.1124, d0.loss_bbox: 0.8336, d0.loss_iou: 1.2157, d1.loss_cls: 2.0767, d1.loss_bbox: 0.8151, d1.loss_iou: 1.1971, d2.loss_cls: 2.0508, d2.loss_bbox: 0.8009, d2.loss_iou: 1.1794, d3.loss_cls: 2.0344, d3.loss_bbox: 0.7921, d3.loss_iou: 1.1706, d4.loss_cls: 2.0243, d4.loss_bbox: 0.7884, d4.loss_iou: 1.1658, loss: 24.2254, grad_norm: 13.5988 +2022-10-26 20:28:37,057 - mmdet - INFO - Epoch [13][100/1849] lr: 2.000e-04, eta: 2:40:16, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0268, loss_bbox: 0.7884, loss_iou: 1.1701, d0.loss_cls: 2.1232, d0.loss_bbox: 0.8353, d0.loss_iou: 1.2214, d1.loss_cls: 2.0874, d1.loss_bbox: 0.8173, d1.loss_iou: 1.2036, d2.loss_cls: 2.0568, d2.loss_bbox: 0.8022, d2.loss_iou: 1.1851, d3.loss_cls: 2.0404, d3.loss_bbox: 0.7942, d3.loss_iou: 1.1773, d4.loss_cls: 2.0308, d4.loss_bbox: 0.7902, d4.loss_iou: 1.1728, loss: 24.3233, grad_norm: 13.7037 +2022-10-26 20:28:44,061 - mmdet - INFO - Epoch [13][150/1849] lr: 2.000e-04, eta: 2:40:10, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0354, loss_bbox: 0.7891, loss_iou: 1.1638, d0.loss_cls: 2.1364, d0.loss_bbox: 0.8367, d0.loss_iou: 1.2161, d1.loss_cls: 2.0979, d1.loss_bbox: 0.8173, d1.loss_iou: 1.1983, d2.loss_cls: 2.0680, d2.loss_bbox: 0.8031, d2.loss_iou: 1.1806, d3.loss_cls: 2.0517, d3.loss_bbox: 0.7953, d3.loss_iou: 1.1714, d4.loss_cls: 2.0408, d4.loss_bbox: 0.7905, d4.loss_iou: 1.1666, loss: 24.3589, grad_norm: 14.2748 +2022-10-26 20:28:50,957 - mmdet - INFO - Epoch [13][200/1849] lr: 2.000e-04, eta: 2:40:03, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0212, loss_bbox: 0.7893, loss_iou: 1.1611, d0.loss_cls: 2.1185, d0.loss_bbox: 0.8376, d0.loss_iou: 1.2149, d1.loss_cls: 2.0797, d1.loss_bbox: 0.8184, d1.loss_iou: 1.1962, d2.loss_cls: 2.0514, d2.loss_bbox: 0.8041, d2.loss_iou: 1.1787, d3.loss_cls: 2.0377, d3.loss_bbox: 0.7964, d3.loss_iou: 1.1691, d4.loss_cls: 2.0264, d4.loss_bbox: 0.7915, d4.loss_iou: 1.1645, loss: 24.2566, grad_norm: 13.8356 +2022-10-26 20:28:57,775 - mmdet - INFO - Epoch [13][250/1849] lr: 2.000e-04, eta: 2:39:56, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0352, loss_bbox: 0.7857, loss_iou: 1.1655, d0.loss_cls: 2.1334, d0.loss_bbox: 0.8345, d0.loss_iou: 1.2186, d1.loss_cls: 2.0995, d1.loss_bbox: 0.8141, d1.loss_iou: 1.1995, d2.loss_cls: 2.0673, d2.loss_bbox: 0.7986, d2.loss_iou: 1.1819, d3.loss_cls: 2.0514, d3.loss_bbox: 0.7908, d3.loss_iou: 1.1735, d4.loss_cls: 2.0394, d4.loss_bbox: 0.7869, d4.loss_iou: 1.1681, loss: 24.3437, grad_norm: 15.0080 +2022-10-26 20:29:04,844 - mmdet - INFO - Epoch [13][300/1849] lr: 2.000e-04, eta: 2:39:50, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0239, loss_bbox: 0.7869, loss_iou: 1.1656, d0.loss_cls: 2.1217, d0.loss_bbox: 0.8332, d0.loss_iou: 1.2147, d1.loss_cls: 2.0868, d1.loss_bbox: 0.8147, d1.loss_iou: 1.1977, d2.loss_cls: 2.0577, d2.loss_bbox: 0.8006, d2.loss_iou: 1.1804, d3.loss_cls: 2.0416, d3.loss_bbox: 0.7925, d3.loss_iou: 1.1718, d4.loss_cls: 2.0317, d4.loss_bbox: 0.7884, d4.loss_iou: 1.1675, loss: 24.2774, grad_norm: 14.6580 +2022-10-26 20:29:11,968 - mmdet - INFO - Epoch [13][350/1849] lr: 2.000e-04, eta: 2:39:44, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 2.0276, loss_bbox: 0.7868, loss_iou: 1.1619, d0.loss_cls: 2.1256, d0.loss_bbox: 0.8352, d0.loss_iou: 1.2144, d1.loss_cls: 2.0883, d1.loss_bbox: 0.8149, d1.loss_iou: 1.1953, d2.loss_cls: 2.0577, d2.loss_bbox: 0.8007, d2.loss_iou: 1.1775, d3.loss_cls: 2.0436, d3.loss_bbox: 0.7929, d3.loss_iou: 1.1684, d4.loss_cls: 2.0321, d4.loss_bbox: 0.7885, d4.loss_iou: 1.1643, loss: 24.2757, grad_norm: 14.7244 +2022-10-26 20:29:18,786 - mmdet - INFO - Epoch [13][400/1849] lr: 2.000e-04, eta: 2:39:37, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0187, loss_bbox: 0.7847, loss_iou: 1.1639, d0.loss_cls: 2.1147, d0.loss_bbox: 0.8330, d0.loss_iou: 1.2150, d1.loss_cls: 2.0840, d1.loss_bbox: 0.8137, d1.loss_iou: 1.1982, d2.loss_cls: 2.0518, d2.loss_bbox: 0.7988, d2.loss_iou: 1.1803, d3.loss_cls: 2.0378, d3.loss_bbox: 0.7908, d3.loss_iou: 1.1708, d4.loss_cls: 2.0238, d4.loss_bbox: 0.7867, d4.loss_iou: 1.1663, loss: 24.2330, grad_norm: 13.5735 +2022-10-26 20:29:25,695 - mmdet - INFO - Epoch [13][450/1849] lr: 2.000e-04, eta: 2:39:30, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0171, loss_bbox: 0.7841, loss_iou: 1.1638, d0.loss_cls: 2.1158, d0.loss_bbox: 0.8326, d0.loss_iou: 1.2154, d1.loss_cls: 2.0835, d1.loss_bbox: 0.8122, d1.loss_iou: 1.1977, d2.loss_cls: 2.0499, d2.loss_bbox: 0.7987, d2.loss_iou: 1.1794, d3.loss_cls: 2.0343, d3.loss_bbox: 0.7896, d3.loss_iou: 1.1708, d4.loss_cls: 2.0248, d4.loss_bbox: 0.7854, d4.loss_iou: 1.1661, loss: 24.2211, grad_norm: 16.0748 +2022-10-26 20:29:32,724 - mmdet - INFO - Epoch [13][500/1849] lr: 2.000e-04, eta: 2:39:24, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0180, loss_bbox: 0.7915, loss_iou: 1.1696, d0.loss_cls: 2.1150, d0.loss_bbox: 0.8355, d0.loss_iou: 1.2206, d1.loss_cls: 2.0796, d1.loss_bbox: 0.8189, d1.loss_iou: 1.2026, d2.loss_cls: 2.0509, d2.loss_bbox: 0.8052, d2.loss_iou: 1.1855, d3.loss_cls: 2.0350, d3.loss_bbox: 0.7978, d3.loss_iou: 1.1768, d4.loss_cls: 2.0233, d4.loss_bbox: 0.7930, d4.loss_iou: 1.1719, loss: 24.2908, grad_norm: 14.0092 +2022-10-26 20:29:39,692 - mmdet - INFO - Epoch [13][550/1849] lr: 2.000e-04, eta: 2:39:17, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0357, loss_bbox: 0.7915, loss_iou: 1.1687, d0.loss_cls: 2.1354, d0.loss_bbox: 0.8394, d0.loss_iou: 1.2210, d1.loss_cls: 2.1008, d1.loss_bbox: 0.8198, d1.loss_iou: 1.2019, d2.loss_cls: 2.0709, d2.loss_bbox: 0.8058, d2.loss_iou: 1.1838, d3.loss_cls: 2.0547, d3.loss_bbox: 0.7978, d3.loss_iou: 1.1755, d4.loss_cls: 2.0410, d4.loss_bbox: 0.7935, d4.loss_iou: 1.1707, loss: 24.4079, grad_norm: 15.7725 +2022-10-26 20:29:46,551 - mmdet - INFO - Epoch [13][600/1849] lr: 2.000e-04, eta: 2:39:11, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0262, loss_bbox: 0.7840, loss_iou: 1.1654, d0.loss_cls: 2.1261, d0.loss_bbox: 0.8318, d0.loss_iou: 1.2187, d1.loss_cls: 2.0903, d1.loss_bbox: 0.8124, d1.loss_iou: 1.1997, d2.loss_cls: 2.0622, d2.loss_bbox: 0.7977, d2.loss_iou: 1.1812, d3.loss_cls: 2.0462, d3.loss_bbox: 0.7900, d3.loss_iou: 1.1728, d4.loss_cls: 2.0340, d4.loss_bbox: 0.7856, d4.loss_iou: 1.1684, loss: 24.2927, grad_norm: 14.7287 +2022-10-26 20:29:53,356 - mmdet - INFO - Epoch [13][650/1849] lr: 2.000e-04, eta: 2:39:04, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 2.0271, loss_bbox: 0.7851, loss_iou: 1.1598, d0.loss_cls: 2.1255, d0.loss_bbox: 0.8339, d0.loss_iou: 1.2131, d1.loss_cls: 2.0904, d1.loss_bbox: 0.8135, d1.loss_iou: 1.1947, d2.loss_cls: 2.0606, d2.loss_bbox: 0.7992, d2.loss_iou: 1.1760, d3.loss_cls: 2.0432, d3.loss_bbox: 0.7905, d3.loss_iou: 1.1670, d4.loss_cls: 2.0320, d4.loss_bbox: 0.7866, d4.loss_iou: 1.1629, loss: 24.2611, grad_norm: 13.9448 +2022-10-26 20:30:00,182 - mmdet - INFO - Epoch [13][700/1849] lr: 2.000e-04, eta: 2:38:57, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0197, loss_bbox: 0.7885, loss_iou: 1.1700, d0.loss_cls: 2.1164, d0.loss_bbox: 0.8346, d0.loss_iou: 1.2217, d1.loss_cls: 2.0819, d1.loss_bbox: 0.8166, d1.loss_iou: 1.2026, d2.loss_cls: 2.0535, d2.loss_bbox: 0.8017, d2.loss_iou: 1.1859, d3.loss_cls: 2.0369, d3.loss_bbox: 0.7941, d3.loss_iou: 1.1767, d4.loss_cls: 2.0257, d4.loss_bbox: 0.7898, d4.loss_iou: 1.1718, loss: 24.2882, grad_norm: 14.8973 +2022-10-26 20:30:07,045 - mmdet - INFO - Epoch [13][750/1849] lr: 2.000e-04, eta: 2:38:50, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0235, loss_bbox: 0.7857, loss_iou: 1.1633, d0.loss_cls: 2.1197, d0.loss_bbox: 0.8337, d0.loss_iou: 1.2164, d1.loss_cls: 2.0845, d1.loss_bbox: 0.8152, d1.loss_iou: 1.1984, d2.loss_cls: 2.0593, d2.loss_bbox: 0.7992, d2.loss_iou: 1.1788, d3.loss_cls: 2.0428, d3.loss_bbox: 0.7913, d3.loss_iou: 1.1707, d4.loss_cls: 2.0285, d4.loss_bbox: 0.7874, d4.loss_iou: 1.1663, loss: 24.2645, grad_norm: 14.5212 +2022-10-26 20:30:13,814 - mmdet - INFO - Epoch [13][800/1849] lr: 2.000e-04, eta: 2:38:43, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 2.0201, loss_bbox: 0.7889, loss_iou: 1.1724, d0.loss_cls: 2.1165, d0.loss_bbox: 0.8364, d0.loss_iou: 1.2244, d1.loss_cls: 2.0855, d1.loss_bbox: 0.8183, d1.loss_iou: 1.2059, d2.loss_cls: 2.0558, d2.loss_bbox: 0.8031, d2.loss_iou: 1.1880, d3.loss_cls: 2.0402, d3.loss_bbox: 0.7952, d3.loss_iou: 1.1788, d4.loss_cls: 2.0294, d4.loss_bbox: 0.7902, d4.loss_iou: 1.1747, loss: 24.3239, grad_norm: 16.1519 +2022-10-26 20:30:20,836 - mmdet - INFO - Epoch [13][850/1849] lr: 2.000e-04, eta: 2:38:36, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0235, loss_bbox: 0.7879, loss_iou: 1.1641, d0.loss_cls: 2.1235, d0.loss_bbox: 0.8368, d0.loss_iou: 1.2170, d1.loss_cls: 2.0874, d1.loss_bbox: 0.8173, d1.loss_iou: 1.1972, d2.loss_cls: 2.0588, d2.loss_bbox: 0.8027, d2.loss_iou: 1.1801, d3.loss_cls: 2.0419, d3.loss_bbox: 0.7945, d3.loss_iou: 1.1717, d4.loss_cls: 2.0299, d4.loss_bbox: 0.7897, d4.loss_iou: 1.1666, loss: 24.2906, grad_norm: 15.6193 +2022-10-26 20:30:27,981 - mmdet - INFO - Epoch [13][900/1849] lr: 2.000e-04, eta: 2:38:30, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0357, loss_bbox: 0.7875, loss_iou: 1.1647, d0.loss_cls: 2.1348, d0.loss_bbox: 0.8343, d0.loss_iou: 1.2171, d1.loss_cls: 2.0997, d1.loss_bbox: 0.8153, d1.loss_iou: 1.1980, d2.loss_cls: 2.0691, d2.loss_bbox: 0.8013, d2.loss_iou: 1.1799, d3.loss_cls: 2.0538, d3.loss_bbox: 0.7939, d3.loss_iou: 1.1713, d4.loss_cls: 2.0423, d4.loss_bbox: 0.7903, d4.loss_iou: 1.1665, loss: 24.3555, grad_norm: 14.0024 +2022-10-26 20:30:34,911 - mmdet - INFO - Epoch [13][950/1849] lr: 2.000e-04, eta: 2:38:24, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0336, loss_bbox: 0.7881, loss_iou: 1.1671, d0.loss_cls: 2.1259, d0.loss_bbox: 0.8355, d0.loss_iou: 1.2213, d1.loss_cls: 2.0933, d1.loss_bbox: 0.8171, d1.loss_iou: 1.2026, d2.loss_cls: 2.0642, d2.loss_bbox: 0.8025, d2.loss_iou: 1.1842, d3.loss_cls: 2.0503, d3.loss_bbox: 0.7940, d3.loss_iou: 1.1751, d4.loss_cls: 2.0381, d4.loss_bbox: 0.7899, d4.loss_iou: 1.1703, loss: 24.3531, grad_norm: 15.5401 +2022-10-26 20:30:41,749 - mmdet - INFO - Epoch [13][1000/1849] lr: 2.000e-04, eta: 2:38:17, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0178, loss_bbox: 0.7873, loss_iou: 1.1622, d0.loss_cls: 2.1209, d0.loss_bbox: 0.8362, d0.loss_iou: 1.2171, d1.loss_cls: 2.0804, d1.loss_bbox: 0.8155, d1.loss_iou: 1.1963, d2.loss_cls: 2.0499, d2.loss_bbox: 0.8014, d2.loss_iou: 1.1783, d3.loss_cls: 2.0349, d3.loss_bbox: 0.7926, d3.loss_iou: 1.1692, d4.loss_cls: 2.0223, d4.loss_bbox: 0.7891, d4.loss_iou: 1.1647, loss: 24.2361, grad_norm: 16.1183 +2022-10-26 20:30:48,505 - mmdet - INFO - Epoch [13][1050/1849] lr: 2.000e-04, eta: 2:38:10, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 2.0144, loss_bbox: 0.7868, loss_iou: 1.1645, d0.loss_cls: 2.1099, d0.loss_bbox: 0.8351, d0.loss_iou: 1.2156, d1.loss_cls: 2.0751, d1.loss_bbox: 0.8150, d1.loss_iou: 1.1977, d2.loss_cls: 2.0500, d2.loss_bbox: 0.8004, d2.loss_iou: 1.1800, d3.loss_cls: 2.0322, d3.loss_bbox: 0.7925, d3.loss_iou: 1.1704, d4.loss_cls: 2.0215, d4.loss_bbox: 0.7884, d4.loss_iou: 1.1659, loss: 24.2154, grad_norm: 14.3069 +2022-10-26 20:30:55,633 - mmdet - INFO - Epoch [13][1100/1849] lr: 2.000e-04, eta: 2:38:04, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 2.0345, loss_bbox: 0.7881, loss_iou: 1.1663, d0.loss_cls: 2.1327, d0.loss_bbox: 0.8368, d0.loss_iou: 1.2176, d1.loss_cls: 2.0974, d1.loss_bbox: 0.8180, d1.loss_iou: 1.2012, d2.loss_cls: 2.0701, d2.loss_bbox: 0.8024, d2.loss_iou: 1.1825, d3.loss_cls: 2.0521, d3.loss_bbox: 0.7945, d3.loss_iou: 1.1740, d4.loss_cls: 2.0403, d4.loss_bbox: 0.7901, d4.loss_iou: 1.1687, loss: 24.3671, grad_norm: 14.9730 +2022-10-26 20:31:02,466 - mmdet - INFO - Epoch [13][1150/1849] lr: 2.000e-04, eta: 2:37:57, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0261, loss_bbox: 0.7884, loss_iou: 1.1654, d0.loss_cls: 2.1221, d0.loss_bbox: 0.8347, d0.loss_iou: 1.2174, d1.loss_cls: 2.0858, d1.loss_bbox: 0.8170, d1.loss_iou: 1.1993, d2.loss_cls: 2.0589, d2.loss_bbox: 0.8024, d2.loss_iou: 1.1812, d3.loss_cls: 2.0434, d3.loss_bbox: 0.7949, d3.loss_iou: 1.1722, d4.loss_cls: 2.0332, d4.loss_bbox: 0.7901, d4.loss_iou: 1.1682, loss: 24.3007, grad_norm: 14.9128 +2022-10-26 20:31:09,341 - mmdet - INFO - Epoch [13][1200/1849] lr: 2.000e-04, eta: 2:37:50, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0437, loss_bbox: 0.7908, loss_iou: 1.1662, d0.loss_cls: 2.1406, d0.loss_bbox: 0.8375, d0.loss_iou: 1.2197, d1.loss_cls: 2.1057, d1.loss_bbox: 0.8184, d1.loss_iou: 1.2000, d2.loss_cls: 2.0780, d2.loss_bbox: 0.8052, d2.loss_iou: 1.1811, d3.loss_cls: 2.0603, d3.loss_bbox: 0.7977, d3.loss_iou: 1.1729, d4.loss_cls: 2.0482, d4.loss_bbox: 0.7928, d4.loss_iou: 1.1681, loss: 24.4269, grad_norm: 14.7412 +2022-10-26 20:31:16,270 - mmdet - INFO - Epoch [13][1250/1849] lr: 2.000e-04, eta: 2:37:43, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0274, loss_bbox: 0.7896, loss_iou: 1.1675, d0.loss_cls: 2.1236, d0.loss_bbox: 0.8356, d0.loss_iou: 1.2203, d1.loss_cls: 2.0914, d1.loss_bbox: 0.8163, d1.loss_iou: 1.2018, d2.loss_cls: 2.0600, d2.loss_bbox: 0.8017, d2.loss_iou: 1.1835, d3.loss_cls: 2.0423, d3.loss_bbox: 0.7943, d3.loss_iou: 1.1747, d4.loss_cls: 2.0329, d4.loss_bbox: 0.7914, d4.loss_iou: 1.1701, loss: 24.3245, grad_norm: 14.8556 +2022-10-26 20:31:23,159 - mmdet - INFO - Epoch [13][1300/1849] lr: 2.000e-04, eta: 2:37:36, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0229, loss_bbox: 0.7879, loss_iou: 1.1596, d0.loss_cls: 2.1238, d0.loss_bbox: 0.8359, d0.loss_iou: 1.2120, d1.loss_cls: 2.0853, d1.loss_bbox: 0.8167, d1.loss_iou: 1.1936, d2.loss_cls: 2.0548, d2.loss_bbox: 0.8023, d2.loss_iou: 1.1760, d3.loss_cls: 2.0403, d3.loss_bbox: 0.7940, d3.loss_iou: 1.1666, d4.loss_cls: 2.0296, d4.loss_bbox: 0.7898, d4.loss_iou: 1.1619, loss: 24.2529, grad_norm: 15.0616 +2022-10-26 20:31:30,111 - mmdet - INFO - Epoch [13][1350/1849] lr: 2.000e-04, eta: 2:37:30, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0238, loss_bbox: 0.7850, loss_iou: 1.1598, d0.loss_cls: 2.1245, d0.loss_bbox: 0.8341, d0.loss_iou: 1.2154, d1.loss_cls: 2.0886, d1.loss_bbox: 0.8139, d1.loss_iou: 1.1951, d2.loss_cls: 2.0591, d2.loss_bbox: 0.7999, d2.loss_iou: 1.1761, d3.loss_cls: 2.0426, d3.loss_bbox: 0.7915, d3.loss_iou: 1.1674, d4.loss_cls: 2.0305, d4.loss_bbox: 0.7873, d4.loss_iou: 1.1622, loss: 24.2568, grad_norm: 16.0687 +2022-10-26 20:31:37,112 - mmdet - INFO - Epoch [13][1400/1849] lr: 2.000e-04, eta: 2:37:23, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0287, loss_bbox: 0.7844, loss_iou: 1.1617, d0.loss_cls: 2.1241, d0.loss_bbox: 0.8327, d0.loss_iou: 1.2144, d1.loss_cls: 2.0945, d1.loss_bbox: 0.8121, d1.loss_iou: 1.1948, d2.loss_cls: 2.0637, d2.loss_bbox: 0.7988, d2.loss_iou: 1.1777, d3.loss_cls: 2.0472, d3.loss_bbox: 0.7906, d3.loss_iou: 1.1690, d4.loss_cls: 2.0354, d4.loss_bbox: 0.7866, d4.loss_iou: 1.1640, loss: 24.2805, grad_norm: 14.8920 +2022-10-26 20:31:44,125 - mmdet - INFO - Epoch [13][1450/1849] lr: 2.000e-04, eta: 2:37:17, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0252, loss_bbox: 0.7949, loss_iou: 1.1676, d0.loss_cls: 2.1241, d0.loss_bbox: 0.8423, d0.loss_iou: 1.2196, d1.loss_cls: 2.0844, d1.loss_bbox: 0.8222, d1.loss_iou: 1.1993, d2.loss_cls: 2.0567, d2.loss_bbox: 0.8077, d2.loss_iou: 1.1822, d3.loss_cls: 2.0419, d3.loss_bbox: 0.8001, d3.loss_iou: 1.1738, d4.loss_cls: 2.0315, d4.loss_bbox: 0.7965, d4.loss_iou: 1.1701, loss: 24.3400, grad_norm: 16.8576 +2022-10-26 20:31:50,981 - mmdet - INFO - Epoch [13][1500/1849] lr: 2.000e-04, eta: 2:37:10, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0401, loss_bbox: 0.7856, loss_iou: 1.1684, d0.loss_cls: 2.1424, d0.loss_bbox: 0.8332, d0.loss_iou: 1.2229, d1.loss_cls: 2.1040, d1.loss_bbox: 0.8137, d1.loss_iou: 1.2016, d2.loss_cls: 2.0755, d2.loss_bbox: 0.7989, d2.loss_iou: 1.1832, d3.loss_cls: 2.0599, d3.loss_bbox: 0.7913, d3.loss_iou: 1.1753, d4.loss_cls: 2.0462, d4.loss_bbox: 0.7874, d4.loss_iou: 1.1716, loss: 24.4014, grad_norm: 13.5715 +2022-10-26 20:31:57,841 - mmdet - INFO - Epoch [13][1550/1849] lr: 2.000e-04, eta: 2:37:03, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0255, loss_bbox: 0.7832, loss_iou: 1.1622, d0.loss_cls: 2.1205, d0.loss_bbox: 0.8314, d0.loss_iou: 1.2169, d1.loss_cls: 2.0876, d1.loss_bbox: 0.8121, d1.loss_iou: 1.1969, d2.loss_cls: 2.0583, d2.loss_bbox: 0.7973, d2.loss_iou: 1.1790, d3.loss_cls: 2.0413, d3.loss_bbox: 0.7887, d3.loss_iou: 1.1702, d4.loss_cls: 2.0302, d4.loss_bbox: 0.7855, d4.loss_iou: 1.1641, loss: 24.2507, grad_norm: 15.0143 +2022-10-26 20:32:04,917 - mmdet - INFO - Epoch [13][1600/1849] lr: 2.000e-04, eta: 2:36:57, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 2.0139, loss_bbox: 0.7858, loss_iou: 1.1638, d0.loss_cls: 2.1132, d0.loss_bbox: 0.8345, d0.loss_iou: 1.2169, d1.loss_cls: 2.0788, d1.loss_bbox: 0.8163, d1.loss_iou: 1.1977, d2.loss_cls: 2.0471, d2.loss_bbox: 0.8018, d2.loss_iou: 1.1802, d3.loss_cls: 2.0313, d3.loss_bbox: 0.7935, d3.loss_iou: 1.1716, d4.loss_cls: 2.0204, d4.loss_bbox: 0.7881, d4.loss_iou: 1.1659, loss: 24.2208, grad_norm: 13.6970 +2022-10-26 20:32:11,926 - mmdet - INFO - Epoch [13][1650/1849] lr: 2.000e-04, eta: 2:36:51, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0238, loss_bbox: 0.7858, loss_iou: 1.1583, d0.loss_cls: 2.1147, d0.loss_bbox: 0.8321, d0.loss_iou: 1.2129, d1.loss_cls: 2.0803, d1.loss_bbox: 0.8149, d1.loss_iou: 1.1923, d2.loss_cls: 2.0515, d2.loss_bbox: 0.7996, d2.loss_iou: 1.1743, d3.loss_cls: 2.0384, d3.loss_bbox: 0.7916, d3.loss_iou: 1.1650, d4.loss_cls: 2.0283, d4.loss_bbox: 0.7873, d4.loss_iou: 1.1612, loss: 24.2122, grad_norm: 14.5078 +2022-10-26 20:32:18,852 - mmdet - INFO - Epoch [13][1700/1849] lr: 2.000e-04, eta: 2:36:44, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0426, loss_bbox: 0.7890, loss_iou: 1.1656, d0.loss_cls: 2.1411, d0.loss_bbox: 0.8347, d0.loss_iou: 1.2193, d1.loss_cls: 2.1046, d1.loss_bbox: 0.8173, d1.loss_iou: 1.1997, d2.loss_cls: 2.0769, d2.loss_bbox: 0.8033, d2.loss_iou: 1.1815, d3.loss_cls: 2.0622, d3.loss_bbox: 0.7945, d3.loss_iou: 1.1732, d4.loss_cls: 2.0505, d4.loss_bbox: 0.7906, d4.loss_iou: 1.1675, loss: 24.4142, grad_norm: 15.0227 +2022-10-26 20:32:25,672 - mmdet - INFO - Epoch [13][1750/1849] lr: 2.000e-04, eta: 2:36:37, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 2.0300, loss_bbox: 0.7875, loss_iou: 1.1677, d0.loss_cls: 2.1290, d0.loss_bbox: 0.8344, d0.loss_iou: 1.2221, d1.loss_cls: 2.0958, d1.loss_bbox: 0.8163, d1.loss_iou: 1.2023, d2.loss_cls: 2.0633, d2.loss_bbox: 0.8011, d2.loss_iou: 1.1849, d3.loss_cls: 2.0472, d3.loss_bbox: 0.7935, d3.loss_iou: 1.1750, d4.loss_cls: 2.0376, d4.loss_bbox: 0.7894, d4.loss_iou: 1.1696, loss: 24.3469, grad_norm: 14.7783 +2022-10-26 20:32:32,665 - mmdet - INFO - Epoch [13][1800/1849] lr: 2.000e-04, eta: 2:36:31, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0312, loss_bbox: 0.7878, loss_iou: 1.1649, d0.loss_cls: 2.1304, d0.loss_bbox: 0.8355, d0.loss_iou: 1.2171, d1.loss_cls: 2.0942, d1.loss_bbox: 0.8164, d1.loss_iou: 1.1985, d2.loss_cls: 2.0646, d2.loss_bbox: 0.8017, d2.loss_iou: 1.1798, d3.loss_cls: 2.0483, d3.loss_bbox: 0.7930, d3.loss_iou: 1.1706, d4.loss_cls: 2.0368, d4.loss_bbox: 0.7894, d4.loss_iou: 1.1668, loss: 24.3268, grad_norm: 14.6045 +2022-10-26 20:32:39,671 - mmdet - INFO - Saving checkpoint at 13 epochs +2022-10-26 20:32:50,129 - mmdet - INFO - Epoch [14][50/1849] lr: 2.000e-04, eta: 2:36:06, time: 0.197, data_time: 0.063, memory: 4401, loss_cls: 2.0062, loss_bbox: 0.7821, loss_iou: 1.1621, d0.loss_cls: 2.1022, d0.loss_bbox: 0.8286, d0.loss_iou: 1.2142, d1.loss_cls: 2.0696, d1.loss_bbox: 0.8095, d1.loss_iou: 1.1965, d2.loss_cls: 2.0406, d2.loss_bbox: 0.7960, d2.loss_iou: 1.1783, d3.loss_cls: 2.0251, d3.loss_bbox: 0.7882, d3.loss_iou: 1.1695, d4.loss_cls: 2.0122, d4.loss_bbox: 0.7843, d4.loss_iou: 1.1652, loss: 24.1305, grad_norm: 13.9707 +2022-10-26 20:32:56,971 - mmdet - INFO - Epoch [14][100/1849] lr: 2.000e-04, eta: 2:36:00, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0022, loss_bbox: 0.7841, loss_iou: 1.1590, d0.loss_cls: 2.1017, d0.loss_bbox: 0.8330, d0.loss_iou: 1.2138, d1.loss_cls: 2.0676, d1.loss_bbox: 0.8122, d1.loss_iou: 1.1938, d2.loss_cls: 2.0374, d2.loss_bbox: 0.7969, d2.loss_iou: 1.1744, d3.loss_cls: 2.0237, d3.loss_bbox: 0.7895, d3.loss_iou: 1.1667, d4.loss_cls: 2.0089, d4.loss_bbox: 0.7853, d4.loss_iou: 1.1615, loss: 24.1120, grad_norm: 13.9261 +2022-10-26 20:33:03,939 - mmdet - INFO - Epoch [14][150/1849] lr: 2.000e-04, eta: 2:35:53, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0148, loss_bbox: 0.7764, loss_iou: 1.1520, d0.loss_cls: 2.1125, d0.loss_bbox: 0.8248, d0.loss_iou: 1.2080, d1.loss_cls: 2.0775, d1.loss_bbox: 0.8052, d1.loss_iou: 1.1873, d2.loss_cls: 2.0485, d2.loss_bbox: 0.7901, d2.loss_iou: 1.1695, d3.loss_cls: 2.0317, d3.loss_bbox: 0.7830, d3.loss_iou: 1.1598, d4.loss_cls: 2.0211, d4.loss_bbox: 0.7782, d4.loss_iou: 1.1552, loss: 24.0957, grad_norm: 14.4689 +2022-10-26 20:33:10,779 - mmdet - INFO - Epoch [14][200/1849] lr: 2.000e-04, eta: 2:35:46, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0376, loss_bbox: 0.7885, loss_iou: 1.1594, d0.loss_cls: 2.1342, d0.loss_bbox: 0.8365, d0.loss_iou: 1.2142, d1.loss_cls: 2.1006, d1.loss_bbox: 0.8178, d1.loss_iou: 1.1936, d2.loss_cls: 2.0733, d2.loss_bbox: 0.8028, d2.loss_iou: 1.1761, d3.loss_cls: 2.0554, d3.loss_bbox: 0.7947, d3.loss_iou: 1.1665, d4.loss_cls: 2.0432, d4.loss_bbox: 0.7899, d4.loss_iou: 1.1621, loss: 24.3463, grad_norm: 14.9561 +2022-10-26 20:33:17,432 - mmdet - INFO - Epoch [14][250/1849] lr: 2.000e-04, eta: 2:35:39, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 2.0216, loss_bbox: 0.7844, loss_iou: 1.1611, d0.loss_cls: 2.1160, d0.loss_bbox: 0.8333, d0.loss_iou: 1.2167, d1.loss_cls: 2.0844, d1.loss_bbox: 0.8127, d1.loss_iou: 1.1949, d2.loss_cls: 2.0548, d2.loss_bbox: 0.7981, d2.loss_iou: 1.1773, d3.loss_cls: 2.0388, d3.loss_bbox: 0.7907, d3.loss_iou: 1.1686, d4.loss_cls: 2.0282, d4.loss_bbox: 0.7865, d4.loss_iou: 1.1633, loss: 24.2312, grad_norm: 13.3537 +2022-10-26 20:33:24,449 - mmdet - INFO - Epoch [14][300/1849] lr: 2.000e-04, eta: 2:35:32, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0186, loss_bbox: 0.7825, loss_iou: 1.1624, d0.loss_cls: 2.1173, d0.loss_bbox: 0.8302, d0.loss_iou: 1.2153, d1.loss_cls: 2.0816, d1.loss_bbox: 0.8121, d1.loss_iou: 1.1973, d2.loss_cls: 2.0517, d2.loss_bbox: 0.7966, d2.loss_iou: 1.1785, d3.loss_cls: 2.0378, d3.loss_bbox: 0.7891, d3.loss_iou: 1.1702, d4.loss_cls: 2.0237, d4.loss_bbox: 0.7846, d4.loss_iou: 1.1650, loss: 24.2146, grad_norm: 14.3552 +2022-10-26 20:33:31,383 - mmdet - INFO - Epoch [14][350/1849] lr: 2.000e-04, eta: 2:35:26, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0162, loss_bbox: 0.7874, loss_iou: 1.1628, d0.loss_cls: 2.1185, d0.loss_bbox: 0.8352, d0.loss_iou: 1.2159, d1.loss_cls: 2.0796, d1.loss_bbox: 0.8161, d1.loss_iou: 1.1968, d2.loss_cls: 2.0536, d2.loss_bbox: 0.8009, d2.loss_iou: 1.1782, d3.loss_cls: 2.0353, d3.loss_bbox: 0.7923, d3.loss_iou: 1.1697, d4.loss_cls: 2.0214, d4.loss_bbox: 0.7893, d4.loss_iou: 1.1652, loss: 24.2343, grad_norm: 15.1049 +2022-10-26 20:33:38,219 - mmdet - INFO - Epoch [14][400/1849] lr: 2.000e-04, eta: 2:35:19, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0299, loss_bbox: 0.7856, loss_iou: 1.1590, d0.loss_cls: 2.1249, d0.loss_bbox: 0.8326, d0.loss_iou: 1.2136, d1.loss_cls: 2.0924, d1.loss_bbox: 0.8142, d1.loss_iou: 1.1956, d2.loss_cls: 2.0654, d2.loss_bbox: 0.8000, d2.loss_iou: 1.1766, d3.loss_cls: 2.0486, d3.loss_bbox: 0.7923, d3.loss_iou: 1.1673, d4.loss_cls: 2.0371, d4.loss_bbox: 0.7870, d4.loss_iou: 1.1623, loss: 24.2844, grad_norm: 15.2714 +2022-10-26 20:33:45,296 - mmdet - INFO - Epoch [14][450/1849] lr: 2.000e-04, eta: 2:35:13, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0152, loss_bbox: 0.7797, loss_iou: 1.1618, d0.loss_cls: 2.1083, d0.loss_bbox: 0.8280, d0.loss_iou: 1.2156, d1.loss_cls: 2.0767, d1.loss_bbox: 0.8096, d1.loss_iou: 1.1966, d2.loss_cls: 2.0483, d2.loss_bbox: 0.7950, d2.loss_iou: 1.1782, d3.loss_cls: 2.0332, d3.loss_bbox: 0.7861, d3.loss_iou: 1.1696, d4.loss_cls: 2.0222, d4.loss_bbox: 0.7813, d4.loss_iou: 1.1640, loss: 24.1694, grad_norm: 13.8319 +2022-10-26 20:33:52,346 - mmdet - INFO - Epoch [14][500/1849] lr: 2.000e-04, eta: 2:35:06, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0041, loss_bbox: 0.7845, loss_iou: 1.1632, d0.loss_cls: 2.0998, d0.loss_bbox: 0.8316, d0.loss_iou: 1.2159, d1.loss_cls: 2.0654, d1.loss_bbox: 0.8120, d1.loss_iou: 1.1977, d2.loss_cls: 2.0366, d2.loss_bbox: 0.7986, d2.loss_iou: 1.1788, d3.loss_cls: 2.0212, d3.loss_bbox: 0.7907, d3.loss_iou: 1.1692, d4.loss_cls: 2.0095, d4.loss_bbox: 0.7865, d4.loss_iou: 1.1652, loss: 24.1306, grad_norm: 14.1532 +2022-10-26 20:33:59,196 - mmdet - INFO - Epoch [14][550/1849] lr: 2.000e-04, eta: 2:34:59, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0187, loss_bbox: 0.7838, loss_iou: 1.1607, d0.loss_cls: 2.1185, d0.loss_bbox: 0.8319, d0.loss_iou: 1.2142, d1.loss_cls: 2.0829, d1.loss_bbox: 0.8122, d1.loss_iou: 1.1934, d2.loss_cls: 2.0519, d2.loss_bbox: 0.7977, d2.loss_iou: 1.1763, d3.loss_cls: 2.0369, d3.loss_bbox: 0.7901, d3.loss_iou: 1.1672, d4.loss_cls: 2.0260, d4.loss_bbox: 0.7860, d4.loss_iou: 1.1624, loss: 24.2107, grad_norm: 17.2482 +2022-10-26 20:34:06,196 - mmdet - INFO - Epoch [14][600/1849] lr: 2.000e-04, eta: 2:34:53, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0216, loss_bbox: 0.7830, loss_iou: 1.1633, d0.loss_cls: 2.1150, d0.loss_bbox: 0.8312, d0.loss_iou: 1.2167, d1.loss_cls: 2.0837, d1.loss_bbox: 0.8122, d1.loss_iou: 1.1979, d2.loss_cls: 2.0538, d2.loss_bbox: 0.7966, d2.loss_iou: 1.1796, d3.loss_cls: 2.0390, d3.loss_bbox: 0.7888, d3.loss_iou: 1.1697, d4.loss_cls: 2.0275, d4.loss_bbox: 0.7846, d4.loss_iou: 1.1658, loss: 24.2299, grad_norm: 15.9601 +2022-10-26 20:34:13,627 - mmdet - INFO - Epoch [14][650/1849] lr: 2.000e-04, eta: 2:34:48, time: 0.149, data_time: 0.004, memory: 4401, loss_cls: 2.0236, loss_bbox: 0.7856, loss_iou: 1.1632, d0.loss_cls: 2.1204, d0.loss_bbox: 0.8333, d0.loss_iou: 1.2154, d1.loss_cls: 2.0822, d1.loss_bbox: 0.8142, d1.loss_iou: 1.1967, d2.loss_cls: 2.0565, d2.loss_bbox: 0.8011, d2.loss_iou: 1.1787, d3.loss_cls: 2.0414, d3.loss_bbox: 0.7918, d3.loss_iou: 1.1700, d4.loss_cls: 2.0310, d4.loss_bbox: 0.7871, d4.loss_iou: 1.1647, loss: 24.2568, grad_norm: 14.5952 +2022-10-26 20:34:20,839 - mmdet - INFO - Epoch [14][700/1849] lr: 2.000e-04, eta: 2:34:42, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 2.0147, loss_bbox: 0.7809, loss_iou: 1.1591, d0.loss_cls: 2.1109, d0.loss_bbox: 0.8284, d0.loss_iou: 1.2132, d1.loss_cls: 2.0779, d1.loss_bbox: 0.8093, d1.loss_iou: 1.1933, d2.loss_cls: 2.0481, d2.loss_bbox: 0.7949, d2.loss_iou: 1.1743, d3.loss_cls: 2.0324, d3.loss_bbox: 0.7865, d3.loss_iou: 1.1655, d4.loss_cls: 2.0192, d4.loss_bbox: 0.7831, d4.loss_iou: 1.1611, loss: 24.1527, grad_norm: 15.3946 +2022-10-26 20:34:27,841 - mmdet - INFO - Epoch [14][750/1849] lr: 2.000e-04, eta: 2:34:35, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0141, loss_bbox: 0.7815, loss_iou: 1.1575, d0.loss_cls: 2.1123, d0.loss_bbox: 0.8299, d0.loss_iou: 1.2126, d1.loss_cls: 2.0773, d1.loss_bbox: 0.8107, d1.loss_iou: 1.1931, d2.loss_cls: 2.0493, d2.loss_bbox: 0.7959, d2.loss_iou: 1.1737, d3.loss_cls: 2.0309, d3.loss_bbox: 0.7877, d3.loss_iou: 1.1656, d4.loss_cls: 2.0206, d4.loss_bbox: 0.7829, d4.loss_iou: 1.1603, loss: 24.1559, grad_norm: 14.4789 +2022-10-26 20:34:35,024 - mmdet - INFO - Epoch [14][800/1849] lr: 2.000e-04, eta: 2:34:29, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 2.0082, loss_bbox: 0.7858, loss_iou: 1.1624, d0.loss_cls: 2.1056, d0.loss_bbox: 0.8325, d0.loss_iou: 1.2153, d1.loss_cls: 2.0721, d1.loss_bbox: 0.8136, d1.loss_iou: 1.1967, d2.loss_cls: 2.0457, d2.loss_bbox: 0.7994, d2.loss_iou: 1.1777, d3.loss_cls: 2.0287, d3.loss_bbox: 0.7913, d3.loss_iou: 1.1698, d4.loss_cls: 2.0151, d4.loss_bbox: 0.7872, d4.loss_iou: 1.1646, loss: 24.1716, grad_norm: 14.8557 +2022-10-26 20:34:42,176 - mmdet - INFO - Epoch [14][850/1849] lr: 2.000e-04, eta: 2:34:23, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 2.0267, loss_bbox: 0.7849, loss_iou: 1.1621, d0.loss_cls: 2.1210, d0.loss_bbox: 0.8320, d0.loss_iou: 1.2176, d1.loss_cls: 2.0850, d1.loss_bbox: 0.8131, d1.loss_iou: 1.1965, d2.loss_cls: 2.0581, d2.loss_bbox: 0.7986, d2.loss_iou: 1.1786, d3.loss_cls: 2.0428, d3.loss_bbox: 0.7914, d3.loss_iou: 1.1695, d4.loss_cls: 2.0306, d4.loss_bbox: 0.7868, d4.loss_iou: 1.1650, loss: 24.2601, grad_norm: 15.3282 +2022-10-26 20:34:49,208 - mmdet - INFO - Epoch [14][900/1849] lr: 2.000e-04, eta: 2:34:17, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0080, loss_bbox: 0.7825, loss_iou: 1.1611, d0.loss_cls: 2.1015, d0.loss_bbox: 0.8297, d0.loss_iou: 1.2141, d1.loss_cls: 2.0678, d1.loss_bbox: 0.8106, d1.loss_iou: 1.1952, d2.loss_cls: 2.0396, d2.loss_bbox: 0.7964, d2.loss_iou: 1.1763, d3.loss_cls: 2.0240, d3.loss_bbox: 0.7887, d3.loss_iou: 1.1674, d4.loss_cls: 2.0138, d4.loss_bbox: 0.7841, d4.loss_iou: 1.1632, loss: 24.1237, grad_norm: 13.6095 +2022-10-26 20:34:56,106 - mmdet - INFO - Epoch [14][950/1849] lr: 2.000e-04, eta: 2:34:10, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0195, loss_bbox: 0.7820, loss_iou: 1.1574, d0.loss_cls: 2.1137, d0.loss_bbox: 0.8283, d0.loss_iou: 1.2125, d1.loss_cls: 2.0823, d1.loss_bbox: 0.8103, d1.loss_iou: 1.1915, d2.loss_cls: 2.0559, d2.loss_bbox: 0.7959, d2.loss_iou: 1.1732, d3.loss_cls: 2.0374, d3.loss_bbox: 0.7885, d3.loss_iou: 1.1648, d4.loss_cls: 2.0267, d4.loss_bbox: 0.7838, d4.loss_iou: 1.1593, loss: 24.1828, grad_norm: 13.9208 +2022-10-26 20:35:03,232 - mmdet - INFO - Epoch [14][1000/1849] lr: 2.000e-04, eta: 2:34:04, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0154, loss_bbox: 0.7806, loss_iou: 1.1621, d0.loss_cls: 2.1119, d0.loss_bbox: 0.8283, d0.loss_iou: 1.2158, d1.loss_cls: 2.0782, d1.loss_bbox: 0.8095, d1.loss_iou: 1.1972, d2.loss_cls: 2.0478, d2.loss_bbox: 0.7965, d2.loss_iou: 1.1779, d3.loss_cls: 2.0312, d3.loss_bbox: 0.7872, d3.loss_iou: 1.1689, d4.loss_cls: 2.0213, d4.loss_bbox: 0.7824, d4.loss_iou: 1.1646, loss: 24.1767, grad_norm: 16.0886 +2022-10-26 20:35:10,164 - mmdet - INFO - Epoch [14][1050/1849] lr: 2.000e-04, eta: 2:33:57, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0153, loss_bbox: 0.7862, loss_iou: 1.1655, d0.loss_cls: 2.1140, d0.loss_bbox: 0.8338, d0.loss_iou: 1.2193, d1.loss_cls: 2.0795, d1.loss_bbox: 0.8141, d1.loss_iou: 1.1998, d2.loss_cls: 2.0514, d2.loss_bbox: 0.7998, d2.loss_iou: 1.1811, d3.loss_cls: 2.0356, d3.loss_bbox: 0.7915, d3.loss_iou: 1.1725, d4.loss_cls: 2.0205, d4.loss_bbox: 0.7876, d4.loss_iou: 1.1683, loss: 24.2361, grad_norm: 16.9621 +2022-10-26 20:35:17,192 - mmdet - INFO - Epoch [14][1100/1849] lr: 2.000e-04, eta: 2:33:51, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0130, loss_bbox: 0.7778, loss_iou: 1.1581, d0.loss_cls: 2.1120, d0.loss_bbox: 0.8266, d0.loss_iou: 1.2122, d1.loss_cls: 2.0754, d1.loss_bbox: 0.8074, d1.loss_iou: 1.1940, d2.loss_cls: 2.0458, d2.loss_bbox: 0.7932, d2.loss_iou: 1.1750, d3.loss_cls: 2.0309, d3.loss_bbox: 0.7842, d3.loss_iou: 1.1656, d4.loss_cls: 2.0199, d4.loss_bbox: 0.7802, d4.loss_iou: 1.1606, loss: 24.1317, grad_norm: 14.3134 +2022-10-26 20:35:24,436 - mmdet - INFO - Epoch [14][1150/1849] lr: 2.000e-04, eta: 2:33:45, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 2.0145, loss_bbox: 0.7863, loss_iou: 1.1649, d0.loss_cls: 2.1099, d0.loss_bbox: 0.8345, d0.loss_iou: 1.2209, d1.loss_cls: 2.0797, d1.loss_bbox: 0.8159, d1.loss_iou: 1.1999, d2.loss_cls: 2.0493, d2.loss_bbox: 0.8016, d2.loss_iou: 1.1821, d3.loss_cls: 2.0327, d3.loss_bbox: 0.7919, d3.loss_iou: 1.1735, d4.loss_cls: 2.0225, d4.loss_bbox: 0.7877, d4.loss_iou: 1.1672, loss: 24.2349, grad_norm: 16.0771 +2022-10-26 20:35:31,493 - mmdet - INFO - Epoch [14][1200/1849] lr: 2.000e-04, eta: 2:33:39, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0143, loss_bbox: 0.7822, loss_iou: 1.1591, d0.loss_cls: 2.1098, d0.loss_bbox: 0.8303, d0.loss_iou: 1.2139, d1.loss_cls: 2.0782, d1.loss_bbox: 0.8119, d1.loss_iou: 1.1937, d2.loss_cls: 2.0489, d2.loss_bbox: 0.7967, d2.loss_iou: 1.1756, d3.loss_cls: 2.0339, d3.loss_bbox: 0.7888, d3.loss_iou: 1.1671, d4.loss_cls: 2.0228, d4.loss_bbox: 0.7834, d4.loss_iou: 1.1616, loss: 24.1721, grad_norm: 13.8076 +2022-10-26 20:35:38,562 - mmdet - INFO - Epoch [14][1250/1849] lr: 2.000e-04, eta: 2:33:33, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0237, loss_bbox: 0.7849, loss_iou: 1.1628, d0.loss_cls: 2.1165, d0.loss_bbox: 0.8315, d0.loss_iou: 1.2171, d1.loss_cls: 2.0810, d1.loss_bbox: 0.8134, d1.loss_iou: 1.1990, d2.loss_cls: 2.0569, d2.loss_bbox: 0.7991, d2.loss_iou: 1.1800, d3.loss_cls: 2.0429, d3.loss_bbox: 0.7902, d3.loss_iou: 1.1709, d4.loss_cls: 2.0288, d4.loss_bbox: 0.7866, d4.loss_iou: 1.1654, loss: 24.2506, grad_norm: 16.0016 +2022-10-26 20:35:45,670 - mmdet - INFO - Epoch [14][1300/1849] lr: 2.000e-04, eta: 2:33:26, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 2.0200, loss_bbox: 0.7798, loss_iou: 1.1534, d0.loss_cls: 2.1157, d0.loss_bbox: 0.8291, d0.loss_iou: 1.2083, d1.loss_cls: 2.0835, d1.loss_bbox: 0.8094, d1.loss_iou: 1.1894, d2.loss_cls: 2.0526, d2.loss_bbox: 0.7942, d2.loss_iou: 1.1706, d3.loss_cls: 2.0365, d3.loss_bbox: 0.7864, d3.loss_iou: 1.1617, d4.loss_cls: 2.0264, d4.loss_bbox: 0.7813, d4.loss_iou: 1.1561, loss: 24.1544, grad_norm: 13.3272 +2022-10-26 20:35:52,592 - mmdet - INFO - Epoch [14][1350/1849] lr: 2.000e-04, eta: 2:33:20, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9993, loss_bbox: 0.7823, loss_iou: 1.1588, d0.loss_cls: 2.0974, d0.loss_bbox: 0.8294, d0.loss_iou: 1.2118, d1.loss_cls: 2.0635, d1.loss_bbox: 0.8106, d1.loss_iou: 1.1933, d2.loss_cls: 2.0337, d2.loss_bbox: 0.7965, d2.loss_iou: 1.1740, d3.loss_cls: 2.0187, d3.loss_bbox: 0.7876, d3.loss_iou: 1.1660, d4.loss_cls: 2.0061, d4.loss_bbox: 0.7841, d4.loss_iou: 1.1611, loss: 24.0742, grad_norm: 14.4794 +2022-10-26 20:35:59,744 - mmdet - INFO - Epoch [14][1400/1849] lr: 2.000e-04, eta: 2:33:14, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 2.0207, loss_bbox: 0.7819, loss_iou: 1.1586, d0.loss_cls: 2.1184, d0.loss_bbox: 0.8301, d0.loss_iou: 1.2128, d1.loss_cls: 2.0806, d1.loss_bbox: 0.8108, d1.loss_iou: 1.1938, d2.loss_cls: 2.0533, d2.loss_bbox: 0.7970, d2.loss_iou: 1.1751, d3.loss_cls: 2.0371, d3.loss_bbox: 0.7882, d3.loss_iou: 1.1660, d4.loss_cls: 2.0263, d4.loss_bbox: 0.7838, d4.loss_iou: 1.1611, loss: 24.1957, grad_norm: 14.2916 +2022-10-26 20:36:06,857 - mmdet - INFO - Epoch [14][1450/1849] lr: 2.000e-04, eta: 2:33:07, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 2.0310, loss_bbox: 0.7848, loss_iou: 1.1620, d0.loss_cls: 2.1248, d0.loss_bbox: 0.8318, d0.loss_iou: 1.2149, d1.loss_cls: 2.0924, d1.loss_bbox: 0.8134, d1.loss_iou: 1.1960, d2.loss_cls: 2.0645, d2.loss_bbox: 0.7989, d2.loss_iou: 1.1771, d3.loss_cls: 2.0473, d3.loss_bbox: 0.7902, d3.loss_iou: 1.1689, d4.loss_cls: 2.0352, d4.loss_bbox: 0.7862, d4.loss_iou: 1.1649, loss: 24.2843, grad_norm: 13.7221 +2022-10-26 20:36:14,024 - mmdet - INFO - Epoch [14][1500/1849] lr: 2.000e-04, eta: 2:33:01, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 2.0483, loss_bbox: 0.7842, loss_iou: 1.1678, d0.loss_cls: 2.1453, d0.loss_bbox: 0.8330, d0.loss_iou: 1.2218, d1.loss_cls: 2.1065, d1.loss_bbox: 0.8131, d1.loss_iou: 1.2021, d2.loss_cls: 2.0791, d2.loss_bbox: 0.7994, d2.loss_iou: 1.1841, d3.loss_cls: 2.0643, d3.loss_bbox: 0.7906, d3.loss_iou: 1.1760, d4.loss_cls: 2.0536, d4.loss_bbox: 0.7860, d4.loss_iou: 1.1709, loss: 24.4263, grad_norm: 14.9294 +2022-10-26 20:36:21,058 - mmdet - INFO - Epoch [14][1550/1849] lr: 2.000e-04, eta: 2:32:55, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0279, loss_bbox: 0.7835, loss_iou: 1.1607, d0.loss_cls: 2.1256, d0.loss_bbox: 0.8298, d0.loss_iou: 1.2140, d1.loss_cls: 2.0903, d1.loss_bbox: 0.8119, d1.loss_iou: 1.1957, d2.loss_cls: 2.0582, d2.loss_bbox: 0.7961, d2.loss_iou: 1.1771, d3.loss_cls: 2.0443, d3.loss_bbox: 0.7893, d3.loss_iou: 1.1682, d4.loss_cls: 2.0339, d4.loss_bbox: 0.7848, d4.loss_iou: 1.1629, loss: 24.2543, grad_norm: 14.0307 +2022-10-26 20:36:28,126 - mmdet - INFO - Epoch [14][1600/1849] lr: 2.000e-04, eta: 2:32:49, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0212, loss_bbox: 0.7815, loss_iou: 1.1611, d0.loss_cls: 2.1164, d0.loss_bbox: 0.8305, d0.loss_iou: 1.2151, d1.loss_cls: 2.0832, d1.loss_bbox: 0.8105, d1.loss_iou: 1.1959, d2.loss_cls: 2.0542, d2.loss_bbox: 0.7961, d2.loss_iou: 1.1773, d3.loss_cls: 2.0384, d3.loss_bbox: 0.7880, d3.loss_iou: 1.1686, d4.loss_cls: 2.0260, d4.loss_bbox: 0.7833, d4.loss_iou: 1.1637, loss: 24.2110, grad_norm: 14.3723 +2022-10-26 20:36:35,107 - mmdet - INFO - Epoch [14][1650/1849] lr: 2.000e-04, eta: 2:32:42, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0308, loss_bbox: 0.7827, loss_iou: 1.1578, d0.loss_cls: 2.1245, d0.loss_bbox: 0.8306, d0.loss_iou: 1.2133, d1.loss_cls: 2.0925, d1.loss_bbox: 0.8114, d1.loss_iou: 1.1938, d2.loss_cls: 2.0644, d2.loss_bbox: 0.7979, d2.loss_iou: 1.1728, d3.loss_cls: 2.0493, d3.loss_bbox: 0.7890, d3.loss_iou: 1.1650, d4.loss_cls: 2.0383, d4.loss_bbox: 0.7840, d4.loss_iou: 1.1603, loss: 24.2586, grad_norm: 15.3463 +2022-10-26 20:36:42,039 - mmdet - INFO - Epoch [14][1700/1849] lr: 2.000e-04, eta: 2:32:35, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0123, loss_bbox: 0.7885, loss_iou: 1.1609, d0.loss_cls: 2.1049, d0.loss_bbox: 0.8357, d0.loss_iou: 1.2149, d1.loss_cls: 2.0726, d1.loss_bbox: 0.8162, d1.loss_iou: 1.1958, d2.loss_cls: 2.0462, d2.loss_bbox: 0.8013, d2.loss_iou: 1.1774, d3.loss_cls: 2.0307, d3.loss_bbox: 0.7939, d3.loss_iou: 1.1684, d4.loss_cls: 2.0178, d4.loss_bbox: 0.7900, d4.loss_iou: 1.1642, loss: 24.1919, grad_norm: 14.5466 +2022-10-26 20:36:48,875 - mmdet - INFO - Epoch [14][1750/1849] lr: 2.000e-04, eta: 2:32:29, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0226, loss_bbox: 0.7844, loss_iou: 1.1562, d0.loss_cls: 2.1204, d0.loss_bbox: 0.8330, d0.loss_iou: 1.2097, d1.loss_cls: 2.0850, d1.loss_bbox: 0.8135, d1.loss_iou: 1.1906, d2.loss_cls: 2.0560, d2.loss_bbox: 0.7987, d2.loss_iou: 1.1722, d3.loss_cls: 2.0395, d3.loss_bbox: 0.7910, d3.loss_iou: 1.1634, d4.loss_cls: 2.0270, d4.loss_bbox: 0.7864, d4.loss_iou: 1.1584, loss: 24.2078, grad_norm: 14.1897 +2022-10-26 20:36:55,864 - mmdet - INFO - Epoch [14][1800/1849] lr: 2.000e-04, eta: 2:32:22, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0276, loss_bbox: 0.7864, loss_iou: 1.1640, d0.loss_cls: 2.1216, d0.loss_bbox: 0.8349, d0.loss_iou: 1.2189, d1.loss_cls: 2.0899, d1.loss_bbox: 0.8163, d1.loss_iou: 1.2005, d2.loss_cls: 2.0616, d2.loss_bbox: 0.8007, d2.loss_iou: 1.1816, d3.loss_cls: 2.0459, d3.loss_bbox: 0.7925, d3.loss_iou: 1.1720, d4.loss_cls: 2.0344, d4.loss_bbox: 0.7887, d4.loss_iou: 1.1670, loss: 24.3047, grad_norm: 13.1308 +2022-10-26 20:37:02,728 - mmdet - INFO - Saving checkpoint at 14 epochs +2022-10-26 20:37:13,148 - mmdet - INFO - Epoch [15][50/1849] lr: 2.000e-04, eta: 2:31:59, time: 0.196, data_time: 0.062, memory: 4401, loss_cls: 2.0086, loss_bbox: 0.7791, loss_iou: 1.1556, d0.loss_cls: 2.1086, d0.loss_bbox: 0.8279, d0.loss_iou: 1.2110, d1.loss_cls: 2.0746, d1.loss_bbox: 0.8092, d1.loss_iou: 1.1916, d2.loss_cls: 2.0459, d2.loss_bbox: 0.7943, d2.loss_iou: 1.1730, d3.loss_cls: 2.0254, d3.loss_bbox: 0.7863, d3.loss_iou: 1.1640, d4.loss_cls: 2.0142, d4.loss_bbox: 0.7816, d4.loss_iou: 1.1583, loss: 24.1091, grad_norm: 14.6504 +2022-10-26 20:37:20,118 - mmdet - INFO - Epoch [15][100/1849] lr: 2.000e-04, eta: 2:31:52, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0097, loss_bbox: 0.7860, loss_iou: 1.1612, d0.loss_cls: 2.1101, d0.loss_bbox: 0.8342, d0.loss_iou: 1.2159, d1.loss_cls: 2.0733, d1.loss_bbox: 0.8166, d1.loss_iou: 1.1958, d2.loss_cls: 2.0438, d2.loss_bbox: 0.8023, d2.loss_iou: 1.1770, d3.loss_cls: 2.0272, d3.loss_bbox: 0.7935, d3.loss_iou: 1.1689, d4.loss_cls: 2.0157, d4.loss_bbox: 0.7881, d4.loss_iou: 1.1630, loss: 24.1822, grad_norm: 13.6018 +2022-10-26 20:37:27,138 - mmdet - INFO - Epoch [15][150/1849] lr: 2.000e-04, eta: 2:31:46, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0238, loss_bbox: 0.7817, loss_iou: 1.1633, d0.loss_cls: 2.1219, d0.loss_bbox: 0.8316, d0.loss_iou: 1.2177, d1.loss_cls: 2.0881, d1.loss_bbox: 0.8101, d1.loss_iou: 1.1972, d2.loss_cls: 2.0590, d2.loss_bbox: 0.7956, d2.loss_iou: 1.1788, d3.loss_cls: 2.0421, d3.loss_bbox: 0.7875, d3.loss_iou: 1.1700, d4.loss_cls: 2.0299, d4.loss_bbox: 0.7827, d4.loss_iou: 1.1660, loss: 24.2470, grad_norm: 17.6568 +2022-10-26 20:37:34,170 - mmdet - INFO - Epoch [15][200/1849] lr: 2.000e-04, eta: 2:31:39, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0011, loss_bbox: 0.7760, loss_iou: 1.1467, d0.loss_cls: 2.1041, d0.loss_bbox: 0.8247, d0.loss_iou: 1.2028, d1.loss_cls: 2.0665, d1.loss_bbox: 0.8061, d1.loss_iou: 1.1838, d2.loss_cls: 2.0393, d2.loss_bbox: 0.7916, d2.loss_iou: 1.1646, d3.loss_cls: 2.0256, d3.loss_bbox: 0.7824, d3.loss_iou: 1.1555, d4.loss_cls: 2.0080, d4.loss_bbox: 0.7781, d4.loss_iou: 1.1495, loss: 24.0066, grad_norm: 15.2355 +2022-10-26 20:37:41,339 - mmdet - INFO - Epoch [15][250/1849] lr: 2.000e-04, eta: 2:31:33, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0047, loss_bbox: 0.7832, loss_iou: 1.1583, d0.loss_cls: 2.1015, d0.loss_bbox: 0.8313, d0.loss_iou: 1.2143, d1.loss_cls: 2.0686, d1.loss_bbox: 0.8129, d1.loss_iou: 1.1935, d2.loss_cls: 2.0393, d2.loss_bbox: 0.7985, d2.loss_iou: 1.1741, d3.loss_cls: 2.0220, d3.loss_bbox: 0.7901, d3.loss_iou: 1.1658, d4.loss_cls: 2.0116, d4.loss_bbox: 0.7852, d4.loss_iou: 1.1607, loss: 24.1158, grad_norm: 15.8753 +2022-10-26 20:37:48,418 - mmdet - INFO - Epoch [15][300/1849] lr: 2.000e-04, eta: 2:31:27, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0076, loss_bbox: 0.7802, loss_iou: 1.1612, d0.loss_cls: 2.1046, d0.loss_bbox: 0.8286, d0.loss_iou: 1.2177, d1.loss_cls: 2.0742, d1.loss_bbox: 0.8103, d1.loss_iou: 1.1981, d2.loss_cls: 2.0412, d2.loss_bbox: 0.7951, d2.loss_iou: 1.1785, d3.loss_cls: 2.0276, d3.loss_bbox: 0.7864, d3.loss_iou: 1.1688, d4.loss_cls: 2.0142, d4.loss_bbox: 0.7819, d4.loss_iou: 1.1634, loss: 24.1395, grad_norm: 14.2665 +2022-10-26 20:37:55,286 - mmdet - INFO - Epoch [15][350/1849] lr: 2.000e-04, eta: 2:31:20, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0144, loss_bbox: 0.7835, loss_iou: 1.1583, d0.loss_cls: 2.1145, d0.loss_bbox: 0.8317, d0.loss_iou: 1.2138, d1.loss_cls: 2.0749, d1.loss_bbox: 0.8132, d1.loss_iou: 1.1934, d2.loss_cls: 2.0467, d2.loss_bbox: 0.7981, d2.loss_iou: 1.1742, d3.loss_cls: 2.0313, d3.loss_bbox: 0.7898, d3.loss_iou: 1.1655, d4.loss_cls: 2.0199, d4.loss_bbox: 0.7853, d4.loss_iou: 1.1607, loss: 24.1694, grad_norm: 16.1955 +2022-10-26 20:38:02,485 - mmdet - INFO - Epoch [15][400/1849] lr: 2.000e-04, eta: 2:31:14, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 2.0132, loss_bbox: 0.7826, loss_iou: 1.1580, d0.loss_cls: 2.1115, d0.loss_bbox: 0.8307, d0.loss_iou: 1.2121, d1.loss_cls: 2.0791, d1.loss_bbox: 0.8129, d1.loss_iou: 1.1930, d2.loss_cls: 2.0471, d2.loss_bbox: 0.7977, d2.loss_iou: 1.1745, d3.loss_cls: 2.0300, d3.loss_bbox: 0.7892, d3.loss_iou: 1.1657, d4.loss_cls: 2.0187, d4.loss_bbox: 0.7844, d4.loss_iou: 1.1608, loss: 24.1611, grad_norm: 15.5831 +2022-10-26 20:38:09,524 - mmdet - INFO - Epoch [15][450/1849] lr: 2.000e-04, eta: 2:31:08, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9942, loss_bbox: 0.7765, loss_iou: 1.1558, d0.loss_cls: 2.0905, d0.loss_bbox: 0.8246, d0.loss_iou: 1.2093, d1.loss_cls: 2.0595, d1.loss_bbox: 0.8059, d1.loss_iou: 1.1890, d2.loss_cls: 2.0274, d2.loss_bbox: 0.7916, d2.loss_iou: 1.1716, d3.loss_cls: 2.0136, d3.loss_bbox: 0.7830, d3.loss_iou: 1.1627, d4.loss_cls: 2.0007, d4.loss_bbox: 0.7782, d4.loss_iou: 1.1581, loss: 23.9922, grad_norm: 13.6437 +2022-10-26 20:38:16,359 - mmdet - INFO - Epoch [15][500/1849] lr: 2.000e-04, eta: 2:31:01, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0132, loss_bbox: 0.7790, loss_iou: 1.1584, d0.loss_cls: 2.1099, d0.loss_bbox: 0.8280, d0.loss_iou: 1.2131, d1.loss_cls: 2.0784, d1.loss_bbox: 0.8087, d1.loss_iou: 1.1951, d2.loss_cls: 2.0495, d2.loss_bbox: 0.7937, d2.loss_iou: 1.1760, d3.loss_cls: 2.0327, d3.loss_bbox: 0.7862, d3.loss_iou: 1.1670, d4.loss_cls: 2.0214, d4.loss_bbox: 0.7805, d4.loss_iou: 1.1610, loss: 24.1518, grad_norm: 15.0679 +2022-10-26 20:38:23,267 - mmdet - INFO - Epoch [15][550/1849] lr: 2.000e-04, eta: 2:30:54, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0048, loss_bbox: 0.7787, loss_iou: 1.1592, d0.loss_cls: 2.0989, d0.loss_bbox: 0.8278, d0.loss_iou: 1.2128, d1.loss_cls: 2.0705, d1.loss_bbox: 0.8088, d1.loss_iou: 1.1948, d2.loss_cls: 2.0391, d2.loss_bbox: 0.7942, d2.loss_iou: 1.1760, d3.loss_cls: 2.0247, d3.loss_bbox: 0.7857, d3.loss_iou: 1.1659, d4.loss_cls: 2.0120, d4.loss_bbox: 0.7806, d4.loss_iou: 1.1611, loss: 24.0956, grad_norm: 15.7948 +2022-10-26 20:38:30,196 - mmdet - INFO - Epoch [15][600/1849] lr: 2.000e-04, eta: 2:30:47, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0162, loss_bbox: 0.7780, loss_iou: 1.1534, d0.loss_cls: 2.1144, d0.loss_bbox: 0.8267, d0.loss_iou: 1.2085, d1.loss_cls: 2.0808, d1.loss_bbox: 0.8075, d1.loss_iou: 1.1881, d2.loss_cls: 2.0517, d2.loss_bbox: 0.7923, d2.loss_iou: 1.1698, d3.loss_cls: 2.0342, d3.loss_bbox: 0.7835, d3.loss_iou: 1.1608, d4.loss_cls: 2.0203, d4.loss_bbox: 0.7789, d4.loss_iou: 1.1557, loss: 24.1210, grad_norm: 17.1695 +2022-10-26 20:38:36,920 - mmdet - INFO - Epoch [15][650/1849] lr: 2.000e-04, eta: 2:30:40, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9914, loss_bbox: 0.7770, loss_iou: 1.1558, d0.loss_cls: 2.0892, d0.loss_bbox: 0.8252, d0.loss_iou: 1.2101, d1.loss_cls: 2.0549, d1.loss_bbox: 0.8077, d1.loss_iou: 1.1914, d2.loss_cls: 2.0277, d2.loss_bbox: 0.7922, d2.loss_iou: 1.1719, d3.loss_cls: 2.0115, d3.loss_bbox: 0.7838, d3.loss_iou: 1.1635, d4.loss_cls: 1.9996, d4.loss_bbox: 0.7791, d4.loss_iou: 1.1579, loss: 23.9898, grad_norm: 14.1078 +2022-10-26 20:38:43,855 - mmdet - INFO - Epoch [15][700/1849] lr: 2.000e-04, eta: 2:30:33, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0205, loss_bbox: 0.7834, loss_iou: 1.1615, d0.loss_cls: 2.1167, d0.loss_bbox: 0.8316, d0.loss_iou: 1.2156, d1.loss_cls: 2.0857, d1.loss_bbox: 0.8130, d1.loss_iou: 1.1956, d2.loss_cls: 2.0574, d2.loss_bbox: 0.7975, d2.loss_iou: 1.1779, d3.loss_cls: 2.0387, d3.loss_bbox: 0.7897, d3.loss_iou: 1.1691, d4.loss_cls: 2.0279, d4.loss_bbox: 0.7852, d4.loss_iou: 1.1637, loss: 24.2305, grad_norm: 14.2970 +2022-10-26 20:38:50,684 - mmdet - INFO - Epoch [15][750/1849] lr: 2.000e-04, eta: 2:30:27, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0085, loss_bbox: 0.7829, loss_iou: 1.1595, d0.loss_cls: 2.1022, d0.loss_bbox: 0.8307, d0.loss_iou: 1.2140, d1.loss_cls: 2.0703, d1.loss_bbox: 0.8106, d1.loss_iou: 1.1939, d2.loss_cls: 2.0413, d2.loss_bbox: 0.7964, d2.loss_iou: 1.1757, d3.loss_cls: 2.0261, d3.loss_bbox: 0.7891, d3.loss_iou: 1.1663, d4.loss_cls: 2.0139, d4.loss_bbox: 0.7855, d4.loss_iou: 1.1618, loss: 24.1285, grad_norm: 13.8846 +2022-10-26 20:38:57,488 - mmdet - INFO - Epoch [15][800/1849] lr: 2.000e-04, eta: 2:30:20, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0060, loss_bbox: 0.7800, loss_iou: 1.1619, d0.loss_cls: 2.0993, d0.loss_bbox: 0.8254, d0.loss_iou: 1.2129, d1.loss_cls: 2.0676, d1.loss_bbox: 0.8069, d1.loss_iou: 1.1966, d2.loss_cls: 2.0381, d2.loss_bbox: 0.7931, d2.loss_iou: 1.1781, d3.loss_cls: 2.0222, d3.loss_bbox: 0.7860, d3.loss_iou: 1.1696, d4.loss_cls: 2.0119, d4.loss_bbox: 0.7812, d4.loss_iou: 1.1646, loss: 24.1012, grad_norm: 15.8555 +2022-10-26 20:39:04,488 - mmdet - INFO - Epoch [15][850/1849] lr: 2.000e-04, eta: 2:30:13, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0019, loss_bbox: 0.7799, loss_iou: 1.1594, d0.loss_cls: 2.0995, d0.loss_bbox: 0.8281, d0.loss_iou: 1.2142, d1.loss_cls: 2.0642, d1.loss_bbox: 0.8100, d1.loss_iou: 1.1934, d2.loss_cls: 2.0351, d2.loss_bbox: 0.7941, d2.loss_iou: 1.1754, d3.loss_cls: 2.0171, d3.loss_bbox: 0.7863, d3.loss_iou: 1.1673, d4.loss_cls: 2.0072, d4.loss_bbox: 0.7819, d4.loss_iou: 1.1616, loss: 24.0764, grad_norm: 14.6142 +2022-10-26 20:39:11,326 - mmdet - INFO - Epoch [15][900/1849] lr: 2.000e-04, eta: 2:30:06, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9950, loss_bbox: 0.7775, loss_iou: 1.1571, d0.loss_cls: 2.0964, d0.loss_bbox: 0.8265, d0.loss_iou: 1.2112, d1.loss_cls: 2.0603, d1.loss_bbox: 0.8069, d1.loss_iou: 1.1915, d2.loss_cls: 2.0299, d2.loss_bbox: 0.7925, d2.loss_iou: 1.1727, d3.loss_cls: 2.0148, d3.loss_bbox: 0.7832, d3.loss_iou: 1.1643, d4.loss_cls: 2.0025, d4.loss_bbox: 0.7788, d4.loss_iou: 1.1602, loss: 24.0213, grad_norm: 14.8409 +2022-10-26 20:39:18,005 - mmdet - INFO - Epoch [15][950/1849] lr: 2.000e-04, eta: 2:29:59, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 2.0257, loss_bbox: 0.7813, loss_iou: 1.1560, d0.loss_cls: 2.1241, d0.loss_bbox: 0.8292, d0.loss_iou: 1.2109, d1.loss_cls: 2.0867, d1.loss_bbox: 0.8116, d1.loss_iou: 1.1918, d2.loss_cls: 2.0613, d2.loss_bbox: 0.7957, d2.loss_iou: 1.1728, d3.loss_cls: 2.0447, d3.loss_bbox: 0.7872, d3.loss_iou: 1.1636, d4.loss_cls: 2.0320, d4.loss_bbox: 0.7832, d4.loss_iou: 1.1578, loss: 24.2156, grad_norm: 14.7395 +2022-10-26 20:39:24,937 - mmdet - INFO - Epoch [15][1000/1849] lr: 2.000e-04, eta: 2:29:52, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0110, loss_bbox: 0.7824, loss_iou: 1.1530, d0.loss_cls: 2.1090, d0.loss_bbox: 0.8311, d0.loss_iou: 1.2090, d1.loss_cls: 2.0713, d1.loss_bbox: 0.8125, d1.loss_iou: 1.1899, d2.loss_cls: 2.0472, d2.loss_bbox: 0.7985, d2.loss_iou: 1.1693, d3.loss_cls: 2.0290, d3.loss_bbox: 0.7895, d3.loss_iou: 1.1606, d4.loss_cls: 2.0161, d4.loss_bbox: 0.7844, d4.loss_iou: 1.1558, loss: 24.1195, grad_norm: 14.9923 +2022-10-26 20:39:31,869 - mmdet - INFO - Epoch [15][1050/1849] lr: 2.000e-04, eta: 2:29:45, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0056, loss_bbox: 0.7841, loss_iou: 1.1618, d0.loss_cls: 2.1052, d0.loss_bbox: 0.8330, d0.loss_iou: 1.2167, d1.loss_cls: 2.0678, d1.loss_bbox: 0.8117, d1.loss_iou: 1.1988, d2.loss_cls: 2.0398, d2.loss_bbox: 0.7981, d2.loss_iou: 1.1794, d3.loss_cls: 2.0241, d3.loss_bbox: 0.7897, d3.loss_iou: 1.1692, d4.loss_cls: 2.0138, d4.loss_bbox: 0.7859, d4.loss_iou: 1.1640, loss: 24.1486, grad_norm: 15.9609 +2022-10-26 20:39:39,020 - mmdet - INFO - Epoch [15][1100/1849] lr: 2.000e-04, eta: 2:29:39, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0139, loss_bbox: 0.7823, loss_iou: 1.1606, d0.loss_cls: 2.1076, d0.loss_bbox: 0.8293, d0.loss_iou: 1.2138, d1.loss_cls: 2.0766, d1.loss_bbox: 0.8120, d1.loss_iou: 1.1962, d2.loss_cls: 2.0486, d2.loss_bbox: 0.7973, d2.loss_iou: 1.1772, d3.loss_cls: 2.0318, d3.loss_bbox: 0.7885, d3.loss_iou: 1.1682, d4.loss_cls: 2.0208, d4.loss_bbox: 0.7843, d4.loss_iou: 1.1631, loss: 24.1722, grad_norm: 13.6152 +2022-10-26 20:39:45,889 - mmdet - INFO - Epoch [15][1150/1849] lr: 2.000e-04, eta: 2:29:33, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0095, loss_bbox: 0.7784, loss_iou: 1.1567, d0.loss_cls: 2.1050, d0.loss_bbox: 0.8262, d0.loss_iou: 1.2087, d1.loss_cls: 2.0719, d1.loss_bbox: 0.8083, d1.loss_iou: 1.1898, d2.loss_cls: 2.0413, d2.loss_bbox: 0.7935, d2.loss_iou: 1.1725, d3.loss_cls: 2.0242, d3.loss_bbox: 0.7844, d3.loss_iou: 1.1637, d4.loss_cls: 2.0171, d4.loss_bbox: 0.7806, d4.loss_iou: 1.1588, loss: 24.0908, grad_norm: 15.6499 +2022-10-26 20:39:52,852 - mmdet - INFO - Epoch [15][1200/1849] lr: 2.000e-04, eta: 2:29:26, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0041, loss_bbox: 0.7762, loss_iou: 1.1553, d0.loss_cls: 2.1012, d0.loss_bbox: 0.8245, d0.loss_iou: 1.2104, d1.loss_cls: 2.0675, d1.loss_bbox: 0.8065, d1.loss_iou: 1.1924, d2.loss_cls: 2.0393, d2.loss_bbox: 0.7916, d2.loss_iou: 1.1728, d3.loss_cls: 2.0238, d3.loss_bbox: 0.7834, d3.loss_iou: 1.1639, d4.loss_cls: 2.0114, d4.loss_bbox: 0.7782, d4.loss_iou: 1.1581, loss: 24.0605, grad_norm: 14.5472 +2022-10-26 20:39:59,835 - mmdet - INFO - Epoch [15][1250/1849] lr: 2.000e-04, eta: 2:29:19, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0222, loss_bbox: 0.7824, loss_iou: 1.1596, d0.loss_cls: 2.1255, d0.loss_bbox: 0.8313, d0.loss_iou: 1.2142, d1.loss_cls: 2.0884, d1.loss_bbox: 0.8105, d1.loss_iou: 1.1951, d2.loss_cls: 2.0586, d2.loss_bbox: 0.7967, d2.loss_iou: 1.1766, d3.loss_cls: 2.0413, d3.loss_bbox: 0.7881, d3.loss_iou: 1.1678, d4.loss_cls: 2.0295, d4.loss_bbox: 0.7834, d4.loss_iou: 1.1619, loss: 24.2329, grad_norm: 15.6321 +2022-10-26 20:40:06,634 - mmdet - INFO - Epoch [15][1300/1849] lr: 2.000e-04, eta: 2:29:12, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0078, loss_bbox: 0.7791, loss_iou: 1.1591, d0.loss_cls: 2.1056, d0.loss_bbox: 0.8279, d0.loss_iou: 1.2152, d1.loss_cls: 2.0722, d1.loss_bbox: 0.8093, d1.loss_iou: 1.1939, d2.loss_cls: 2.0443, d2.loss_bbox: 0.7940, d2.loss_iou: 1.1745, d3.loss_cls: 2.0260, d3.loss_bbox: 0.7861, d3.loss_iou: 1.1653, d4.loss_cls: 2.0125, d4.loss_bbox: 0.7811, d4.loss_iou: 1.1613, loss: 24.1152, grad_norm: 15.2891 +2022-10-26 20:40:13,711 - mmdet - INFO - Epoch [15][1350/1849] lr: 2.000e-04, eta: 2:29:06, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0143, loss_bbox: 0.7852, loss_iou: 1.1594, d0.loss_cls: 2.1102, d0.loss_bbox: 0.8330, d0.loss_iou: 1.2152, d1.loss_cls: 2.0768, d1.loss_bbox: 0.8141, d1.loss_iou: 1.1957, d2.loss_cls: 2.0477, d2.loss_bbox: 0.7990, d2.loss_iou: 1.1768, d3.loss_cls: 2.0319, d3.loss_bbox: 0.7911, d3.loss_iou: 1.1671, d4.loss_cls: 2.0197, d4.loss_bbox: 0.7868, d4.loss_iou: 1.1619, loss: 24.1858, grad_norm: 13.7473 +2022-10-26 20:40:20,892 - mmdet - INFO - Epoch [15][1400/1849] lr: 2.000e-04, eta: 2:29:00, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 2.0100, loss_bbox: 0.7801, loss_iou: 1.1583, d0.loss_cls: 2.1042, d0.loss_bbox: 0.8272, d0.loss_iou: 1.2121, d1.loss_cls: 2.0695, d1.loss_bbox: 0.8085, d1.loss_iou: 1.1932, d2.loss_cls: 2.0404, d2.loss_bbox: 0.7946, d2.loss_iou: 1.1750, d3.loss_cls: 2.0260, d3.loss_bbox: 0.7863, d3.loss_iou: 1.1661, d4.loss_cls: 2.0146, d4.loss_bbox: 0.7815, d4.loss_iou: 1.1614, loss: 24.1089, grad_norm: 14.6660 +2022-10-26 20:40:27,855 - mmdet - INFO - Epoch [15][1450/1849] lr: 2.000e-04, eta: 2:28:53, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0037, loss_bbox: 0.7766, loss_iou: 1.1513, d0.loss_cls: 2.0998, d0.loss_bbox: 0.8254, d0.loss_iou: 1.2051, d1.loss_cls: 2.0665, d1.loss_bbox: 0.8061, d1.loss_iou: 1.1875, d2.loss_cls: 2.0340, d2.loss_bbox: 0.7911, d2.loss_iou: 1.1689, d3.loss_cls: 2.0197, d3.loss_bbox: 0.7836, d3.loss_iou: 1.1592, d4.loss_cls: 2.0103, d4.loss_bbox: 0.7787, d4.loss_iou: 1.1539, loss: 24.0216, grad_norm: 14.9195 +2022-10-26 20:40:34,768 - mmdet - INFO - Epoch [15][1500/1849] lr: 2.000e-04, eta: 2:28:47, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0157, loss_bbox: 0.7769, loss_iou: 1.1524, d0.loss_cls: 2.1173, d0.loss_bbox: 0.8253, d0.loss_iou: 1.2099, d1.loss_cls: 2.0795, d1.loss_bbox: 0.8065, d1.loss_iou: 1.1884, d2.loss_cls: 2.0530, d2.loss_bbox: 0.7914, d2.loss_iou: 1.1694, d3.loss_cls: 2.0359, d3.loss_bbox: 0.7830, d3.loss_iou: 1.1609, d4.loss_cls: 2.0215, d4.loss_bbox: 0.7778, d4.loss_iou: 1.1553, loss: 24.1203, grad_norm: 16.0635 +2022-10-26 20:40:41,591 - mmdet - INFO - Epoch [15][1550/1849] lr: 2.000e-04, eta: 2:28:40, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0179, loss_bbox: 0.7788, loss_iou: 1.1574, d0.loss_cls: 2.1213, d0.loss_bbox: 0.8276, d0.loss_iou: 1.2111, d1.loss_cls: 2.0859, d1.loss_bbox: 0.8084, d1.loss_iou: 1.1918, d2.loss_cls: 2.0555, d2.loss_bbox: 0.7934, d2.loss_iou: 1.1741, d3.loss_cls: 2.0356, d3.loss_bbox: 0.7856, d3.loss_iou: 1.1650, d4.loss_cls: 2.0229, d4.loss_bbox: 0.7805, d4.loss_iou: 1.1605, loss: 24.1734, grad_norm: 17.3821 +2022-10-26 20:40:48,438 - mmdet - INFO - Epoch [15][1600/1849] lr: 2.000e-04, eta: 2:28:33, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9970, loss_bbox: 0.7814, loss_iou: 1.1598, d0.loss_cls: 2.0990, d0.loss_bbox: 0.8289, d0.loss_iou: 1.2132, d1.loss_cls: 2.0608, d1.loss_bbox: 0.8098, d1.loss_iou: 1.1936, d2.loss_cls: 2.0346, d2.loss_bbox: 0.7949, d2.loss_iou: 1.1760, d3.loss_cls: 2.0171, d3.loss_bbox: 0.7872, d3.loss_iou: 1.1666, d4.loss_cls: 2.0037, d4.loss_bbox: 0.7838, d4.loss_iou: 1.1623, loss: 24.0699, grad_norm: 15.8509 +2022-10-26 20:40:55,196 - mmdet - INFO - Epoch [15][1650/1849] lr: 2.000e-04, eta: 2:28:26, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9974, loss_bbox: 0.7717, loss_iou: 1.1480, d0.loss_cls: 2.0950, d0.loss_bbox: 0.8211, d0.loss_iou: 1.2050, d1.loss_cls: 2.0619, d1.loss_bbox: 0.8029, d1.loss_iou: 1.1842, d2.loss_cls: 2.0316, d2.loss_bbox: 0.7871, d2.loss_iou: 1.1648, d3.loss_cls: 2.0160, d3.loss_bbox: 0.7786, d3.loss_iou: 1.1560, d4.loss_cls: 2.0040, d4.loss_bbox: 0.7734, d4.loss_iou: 1.1513, loss: 23.9499, grad_norm: 14.9396 +2022-10-26 20:41:02,102 - mmdet - INFO - Epoch [15][1700/1849] lr: 2.000e-04, eta: 2:28:19, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0132, loss_bbox: 0.7843, loss_iou: 1.1597, d0.loss_cls: 2.1088, d0.loss_bbox: 0.8316, d0.loss_iou: 1.2137, d1.loss_cls: 2.0776, d1.loss_bbox: 0.8137, d1.loss_iou: 1.1942, d2.loss_cls: 2.0474, d2.loss_bbox: 0.7981, d2.loss_iou: 1.1753, d3.loss_cls: 2.0327, d3.loss_bbox: 0.7902, d3.loss_iou: 1.1665, d4.loss_cls: 2.0190, d4.loss_bbox: 0.7858, d4.loss_iou: 1.1619, loss: 24.1736, grad_norm: 15.0345 +2022-10-26 20:41:09,238 - mmdet - INFO - Epoch [15][1750/1849] lr: 2.000e-04, eta: 2:28:13, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 2.0117, loss_bbox: 0.7790, loss_iou: 1.1553, d0.loss_cls: 2.1115, d0.loss_bbox: 0.8274, d0.loss_iou: 1.2091, d1.loss_cls: 2.0754, d1.loss_bbox: 0.8092, d1.loss_iou: 1.1908, d2.loss_cls: 2.0483, d2.loss_bbox: 0.7950, d2.loss_iou: 1.1727, d3.loss_cls: 2.0311, d3.loss_bbox: 0.7861, d3.loss_iou: 1.1629, d4.loss_cls: 2.0170, d4.loss_bbox: 0.7811, d4.loss_iou: 1.1582, loss: 24.1218, grad_norm: 14.7113 +2022-10-26 20:41:16,189 - mmdet - INFO - Epoch [15][1800/1849] lr: 2.000e-04, eta: 2:28:06, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0122, loss_bbox: 0.7800, loss_iou: 1.1596, d0.loss_cls: 2.1048, d0.loss_bbox: 0.8271, d0.loss_iou: 1.2135, d1.loss_cls: 2.0732, d1.loss_bbox: 0.8081, d1.loss_iou: 1.1944, d2.loss_cls: 2.0472, d2.loss_bbox: 0.7952, d2.loss_iou: 1.1750, d3.loss_cls: 2.0285, d3.loss_bbox: 0.7863, d3.loss_iou: 1.1660, d4.loss_cls: 2.0179, d4.loss_bbox: 0.7817, d4.loss_iou: 1.1609, loss: 24.1317, grad_norm: 15.8060 +2022-10-26 20:41:23,104 - mmdet - INFO - Saving checkpoint at 15 epochs +2022-10-26 20:41:33,736 - mmdet - INFO - Epoch [16][50/1849] lr: 2.000e-04, eta: 2:27:44, time: 0.200, data_time: 0.064, memory: 4401, loss_cls: 2.0043, loss_bbox: 0.7756, loss_iou: 1.1537, d0.loss_cls: 2.1042, d0.loss_bbox: 0.8250, d0.loss_iou: 1.2106, d1.loss_cls: 2.0681, d1.loss_bbox: 0.8063, d1.loss_iou: 1.1903, d2.loss_cls: 2.0403, d2.loss_bbox: 0.7916, d2.loss_iou: 1.1714, d3.loss_cls: 2.0230, d3.loss_bbox: 0.7822, d3.loss_iou: 1.1622, d4.loss_cls: 2.0106, d4.loss_bbox: 0.7773, d4.loss_iou: 1.1563, loss: 24.0529, grad_norm: 14.3394 +2022-10-26 20:41:40,820 - mmdet - INFO - Epoch [16][100/1849] lr: 2.000e-04, eta: 2:27:38, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9992, loss_bbox: 0.7814, loss_iou: 1.1591, d0.loss_cls: 2.0958, d0.loss_bbox: 0.8295, d0.loss_iou: 1.2143, d1.loss_cls: 2.0649, d1.loss_bbox: 0.8105, d1.loss_iou: 1.1934, d2.loss_cls: 2.0350, d2.loss_bbox: 0.7962, d2.loss_iou: 1.1752, d3.loss_cls: 2.0169, d3.loss_bbox: 0.7882, d3.loss_iou: 1.1674, d4.loss_cls: 2.0047, d4.loss_bbox: 0.7836, d4.loss_iou: 1.1619, loss: 24.0772, grad_norm: 14.2444 +2022-10-26 20:41:47,708 - mmdet - INFO - Epoch [16][150/1849] lr: 2.000e-04, eta: 2:27:31, time: 0.138, data_time: 0.006, memory: 4401, loss_cls: 2.0073, loss_bbox: 0.7791, loss_iou: 1.1508, d0.loss_cls: 2.1073, d0.loss_bbox: 0.8285, d0.loss_iou: 1.2058, d1.loss_cls: 2.0704, d1.loss_bbox: 0.8091, d1.loss_iou: 1.1865, d2.loss_cls: 2.0404, d2.loss_bbox: 0.7953, d2.loss_iou: 1.1683, d3.loss_cls: 2.0280, d3.loss_bbox: 0.7865, d3.loss_iou: 1.1590, d4.loss_cls: 2.0142, d4.loss_bbox: 0.7810, d4.loss_iou: 1.1533, loss: 24.0709, grad_norm: 14.8438 +2022-10-26 20:41:54,723 - mmdet - INFO - Epoch [16][200/1849] lr: 2.000e-04, eta: 2:27:25, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9991, loss_bbox: 0.7819, loss_iou: 1.1593, d0.loss_cls: 2.0992, d0.loss_bbox: 0.8306, d0.loss_iou: 1.2143, d1.loss_cls: 2.0622, d1.loss_bbox: 0.8116, d1.loss_iou: 1.1952, d2.loss_cls: 2.0341, d2.loss_bbox: 0.7968, d2.loss_iou: 1.1765, d3.loss_cls: 2.0179, d3.loss_bbox: 0.7882, d3.loss_iou: 1.1664, d4.loss_cls: 2.0057, d4.loss_bbox: 0.7834, d4.loss_iou: 1.1616, loss: 24.0841, grad_norm: 15.3789 +2022-10-26 20:42:01,697 - mmdet - INFO - Epoch [16][250/1849] lr: 2.000e-04, eta: 2:27:18, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9923, loss_bbox: 0.7770, loss_iou: 1.1531, d0.loss_cls: 2.0913, d0.loss_bbox: 0.8255, d0.loss_iou: 1.2092, d1.loss_cls: 2.0586, d1.loss_bbox: 0.8062, d1.loss_iou: 1.1879, d2.loss_cls: 2.0298, d2.loss_bbox: 0.7919, d2.loss_iou: 1.1697, d3.loss_cls: 2.0122, d3.loss_bbox: 0.7835, d3.loss_iou: 1.1606, d4.loss_cls: 1.9999, d4.loss_bbox: 0.7786, d4.loss_iou: 1.1552, loss: 23.9823, grad_norm: 14.9716 +2022-10-26 20:42:08,769 - mmdet - INFO - Epoch [16][300/1849] lr: 2.000e-04, eta: 2:27:12, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9924, loss_bbox: 0.7772, loss_iou: 1.1521, d0.loss_cls: 2.0912, d0.loss_bbox: 0.8236, d0.loss_iou: 1.2071, d1.loss_cls: 2.0595, d1.loss_bbox: 0.8058, d1.loss_iou: 1.1875, d2.loss_cls: 2.0302, d2.loss_bbox: 0.7917, d2.loss_iou: 1.1689, d3.loss_cls: 2.0115, d3.loss_bbox: 0.7834, d3.loss_iou: 1.1600, d4.loss_cls: 1.9983, d4.loss_bbox: 0.7785, d4.loss_iou: 1.1549, loss: 23.9739, grad_norm: 14.6050 +2022-10-26 20:42:15,865 - mmdet - INFO - Epoch [16][350/1849] lr: 2.000e-04, eta: 2:27:05, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 2.0032, loss_bbox: 0.7805, loss_iou: 1.1546, d0.loss_cls: 2.1029, d0.loss_bbox: 0.8300, d0.loss_iou: 1.2113, d1.loss_cls: 2.0693, d1.loss_bbox: 0.8108, d1.loss_iou: 1.1907, d2.loss_cls: 2.0395, d2.loss_bbox: 0.7960, d2.loss_iou: 1.1712, d3.loss_cls: 2.0199, d3.loss_bbox: 0.7865, d3.loss_iou: 1.1619, d4.loss_cls: 2.0101, d4.loss_bbox: 0.7824, d4.loss_iou: 1.1566, loss: 24.0774, grad_norm: 15.0755 +2022-10-26 20:42:22,746 - mmdet - INFO - Epoch [16][400/1849] lr: 2.000e-04, eta: 2:26:59, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9809, loss_bbox: 0.7774, loss_iou: 1.1512, d0.loss_cls: 2.0830, d0.loss_bbox: 0.8257, d0.loss_iou: 1.2050, d1.loss_cls: 2.0443, d1.loss_bbox: 0.8062, d1.loss_iou: 1.1861, d2.loss_cls: 2.0172, d2.loss_bbox: 0.7922, d2.loss_iou: 1.1672, d3.loss_cls: 2.0016, d3.loss_bbox: 0.7837, d3.loss_iou: 1.1582, d4.loss_cls: 1.9869, d4.loss_bbox: 0.7793, d4.loss_iou: 1.1533, loss: 23.8994, grad_norm: 16.2297 +2022-10-26 20:42:29,888 - mmdet - INFO - Epoch [16][450/1849] lr: 2.000e-04, eta: 2:26:52, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9873, loss_bbox: 0.7787, loss_iou: 1.1588, d0.loss_cls: 2.0854, d0.loss_bbox: 0.8268, d0.loss_iou: 1.2140, d1.loss_cls: 2.0522, d1.loss_bbox: 0.8076, d1.loss_iou: 1.1944, d2.loss_cls: 2.0213, d2.loss_bbox: 0.7939, d2.loss_iou: 1.1755, d3.loss_cls: 2.0030, d3.loss_bbox: 0.7849, d3.loss_iou: 1.1670, d4.loss_cls: 1.9917, d4.loss_bbox: 0.7804, d4.loss_iou: 1.1614, loss: 23.9842, grad_norm: 16.4480 +2022-10-26 20:42:36,882 - mmdet - INFO - Epoch [16][500/1849] lr: 2.000e-04, eta: 2:26:46, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0008, loss_bbox: 0.7723, loss_iou: 1.1471, d0.loss_cls: 2.0998, d0.loss_bbox: 0.8225, d0.loss_iou: 1.2059, d1.loss_cls: 2.0655, d1.loss_bbox: 0.8034, d1.loss_iou: 1.1847, d2.loss_cls: 2.0356, d2.loss_bbox: 0.7889, d2.loss_iou: 1.1651, d3.loss_cls: 2.0201, d3.loss_bbox: 0.7797, d3.loss_iou: 1.1559, d4.loss_cls: 2.0056, d4.loss_bbox: 0.7747, d4.loss_iou: 1.1496, loss: 23.9772, grad_norm: 16.8969 +2022-10-26 20:42:43,938 - mmdet - INFO - Epoch [16][550/1849] lr: 2.000e-04, eta: 2:26:39, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0050, loss_bbox: 0.7764, loss_iou: 1.1535, d0.loss_cls: 2.1070, d0.loss_bbox: 0.8252, d0.loss_iou: 1.2115, d1.loss_cls: 2.0714, d1.loss_bbox: 0.8059, d1.loss_iou: 1.1893, d2.loss_cls: 2.0428, d2.loss_bbox: 0.7911, d2.loss_iou: 1.1693, d3.loss_cls: 2.0244, d3.loss_bbox: 0.7823, d3.loss_iou: 1.1607, d4.loss_cls: 2.0131, d4.loss_bbox: 0.7774, d4.loss_iou: 1.1562, loss: 24.0625, grad_norm: 15.1568 +2022-10-26 20:42:51,108 - mmdet - INFO - Epoch [16][600/1849] lr: 2.000e-04, eta: 2:26:33, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0099, loss_bbox: 0.7781, loss_iou: 1.1528, d0.loss_cls: 2.1070, d0.loss_bbox: 0.8256, d0.loss_iou: 1.2097, d1.loss_cls: 2.0711, d1.loss_bbox: 0.8077, d1.loss_iou: 1.1894, d2.loss_cls: 2.0442, d2.loss_bbox: 0.7933, d2.loss_iou: 1.1706, d3.loss_cls: 2.0278, d3.loss_bbox: 0.7850, d3.loss_iou: 1.1613, d4.loss_cls: 2.0166, d4.loss_bbox: 0.7801, d4.loss_iou: 1.1556, loss: 24.0860, grad_norm: 15.3762 +2022-10-26 20:42:57,992 - mmdet - INFO - Epoch [16][650/1849] lr: 2.000e-04, eta: 2:26:26, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0004, loss_bbox: 0.7825, loss_iou: 1.1580, d0.loss_cls: 2.1045, d0.loss_bbox: 0.8302, d0.loss_iou: 1.2123, d1.loss_cls: 2.0678, d1.loss_bbox: 0.8122, d1.loss_iou: 1.1935, d2.loss_cls: 2.0357, d2.loss_bbox: 0.7978, d2.loss_iou: 1.1755, d3.loss_cls: 2.0184, d3.loss_bbox: 0.7895, d3.loss_iou: 1.1663, d4.loss_cls: 2.0058, d4.loss_bbox: 0.7840, d4.loss_iou: 1.1609, loss: 24.0951, grad_norm: 15.3396 +2022-10-26 20:43:05,085 - mmdet - INFO - Epoch [16][700/1849] lr: 2.000e-04, eta: 2:26:20, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9887, loss_bbox: 0.7723, loss_iou: 1.1541, d0.loss_cls: 2.0810, d0.loss_bbox: 0.8204, d0.loss_iou: 1.2102, d1.loss_cls: 2.0496, d1.loss_bbox: 0.8017, d1.loss_iou: 1.1897, d2.loss_cls: 2.0190, d2.loss_bbox: 0.7863, d2.loss_iou: 1.1712, d3.loss_cls: 2.0042, d3.loss_bbox: 0.7784, d3.loss_iou: 1.1615, d4.loss_cls: 1.9954, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1567, loss: 23.9150, grad_norm: 15.5587 +2022-10-26 20:43:12,006 - mmdet - INFO - Epoch [16][750/1849] lr: 2.000e-04, eta: 2:26:13, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 2.0087, loss_bbox: 0.7787, loss_iou: 1.1558, d0.loss_cls: 2.1077, d0.loss_bbox: 0.8281, d0.loss_iou: 1.2113, d1.loss_cls: 2.0744, d1.loss_bbox: 0.8091, d1.loss_iou: 1.1904, d2.loss_cls: 2.0449, d2.loss_bbox: 0.7932, d2.loss_iou: 1.1712, d3.loss_cls: 2.0295, d3.loss_bbox: 0.7851, d3.loss_iou: 1.1626, d4.loss_cls: 2.0170, d4.loss_bbox: 0.7804, d4.loss_iou: 1.1580, loss: 24.1060, grad_norm: 14.1358 +2022-10-26 20:43:18,931 - mmdet - INFO - Epoch [16][800/1849] lr: 2.000e-04, eta: 2:26:07, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0135, loss_bbox: 0.7720, loss_iou: 1.1499, d0.loss_cls: 2.1097, d0.loss_bbox: 0.8214, d0.loss_iou: 1.2063, d1.loss_cls: 2.0782, d1.loss_bbox: 0.8027, d1.loss_iou: 1.1863, d2.loss_cls: 2.0486, d2.loss_bbox: 0.7873, d2.loss_iou: 1.1669, d3.loss_cls: 2.0315, d3.loss_bbox: 0.7779, d3.loss_iou: 1.1586, d4.loss_cls: 2.0188, d4.loss_bbox: 0.7732, d4.loss_iou: 1.1526, loss: 24.0556, grad_norm: 14.2566 +2022-10-26 20:43:26,000 - mmdet - INFO - Epoch [16][850/1849] lr: 2.000e-04, eta: 2:26:00, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0165, loss_bbox: 0.7803, loss_iou: 1.1618, d0.loss_cls: 2.1146, d0.loss_bbox: 0.8296, d0.loss_iou: 1.2185, d1.loss_cls: 2.0801, d1.loss_bbox: 0.8096, d1.loss_iou: 1.1973, d2.loss_cls: 2.0518, d2.loss_bbox: 0.7943, d2.loss_iou: 1.1786, d3.loss_cls: 2.0345, d3.loss_bbox: 0.7860, d3.loss_iou: 1.1698, d4.loss_cls: 2.0238, d4.loss_bbox: 0.7819, d4.loss_iou: 1.1641, loss: 24.1932, grad_norm: 15.1584 +2022-10-26 20:43:33,033 - mmdet - INFO - Epoch [16][900/1849] lr: 2.000e-04, eta: 2:25:54, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0003, loss_bbox: 0.7786, loss_iou: 1.1556, d0.loss_cls: 2.1017, d0.loss_bbox: 0.8263, d0.loss_iou: 1.2123, d1.loss_cls: 2.0646, d1.loss_bbox: 0.8078, d1.loss_iou: 1.1916, d2.loss_cls: 2.0332, d2.loss_bbox: 0.7935, d2.loss_iou: 1.1734, d3.loss_cls: 2.0198, d3.loss_bbox: 0.7852, d3.loss_iou: 1.1640, d4.loss_cls: 2.0063, d4.loss_bbox: 0.7804, d4.loss_iou: 1.1585, loss: 24.0532, grad_norm: 14.5782 +2022-10-26 20:43:39,945 - mmdet - INFO - Epoch [16][950/1849] lr: 2.000e-04, eta: 2:25:47, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 2.0034, loss_bbox: 0.7777, loss_iou: 1.1535, d0.loss_cls: 2.0977, d0.loss_bbox: 0.8256, d0.loss_iou: 1.2093, d1.loss_cls: 2.0676, d1.loss_bbox: 0.8074, d1.loss_iou: 1.1900, d2.loss_cls: 2.0392, d2.loss_bbox: 0.7930, d2.loss_iou: 1.1708, d3.loss_cls: 2.0210, d3.loss_bbox: 0.7846, d3.loss_iou: 1.1612, d4.loss_cls: 2.0080, d4.loss_bbox: 0.7805, d4.loss_iou: 1.1563, loss: 24.0468, grad_norm: 14.5682 +2022-10-26 20:43:47,014 - mmdet - INFO - Epoch [16][1000/1849] lr: 2.000e-04, eta: 2:25:41, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9974, loss_bbox: 0.7718, loss_iou: 1.1517, d0.loss_cls: 2.0991, d0.loss_bbox: 0.8212, d0.loss_iou: 1.2096, d1.loss_cls: 2.0668, d1.loss_bbox: 0.8021, d1.loss_iou: 1.1876, d2.loss_cls: 2.0375, d2.loss_bbox: 0.7870, d2.loss_iou: 1.1697, d3.loss_cls: 2.0151, d3.loss_bbox: 0.7777, d3.loss_iou: 1.1595, d4.loss_cls: 2.0043, d4.loss_bbox: 0.7732, d4.loss_iou: 1.1538, loss: 23.9852, grad_norm: 15.2296 +2022-10-26 20:43:54,034 - mmdet - INFO - Epoch [16][1050/1849] lr: 2.000e-04, eta: 2:25:34, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0071, loss_bbox: 0.7807, loss_iou: 1.1575, d0.loss_cls: 2.1055, d0.loss_bbox: 0.8302, d0.loss_iou: 1.2156, d1.loss_cls: 2.0747, d1.loss_bbox: 0.8120, d1.loss_iou: 1.1930, d2.loss_cls: 2.0446, d2.loss_bbox: 0.7966, d2.loss_iou: 1.1744, d3.loss_cls: 2.0277, d3.loss_bbox: 0.7875, d3.loss_iou: 1.1649, d4.loss_cls: 2.0133, d4.loss_bbox: 0.7829, d4.loss_iou: 1.1603, loss: 24.1286, grad_norm: 15.5136 +2022-10-26 20:44:00,901 - mmdet - INFO - Epoch [16][1100/1849] lr: 2.000e-04, eta: 2:25:27, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0142, loss_bbox: 0.7777, loss_iou: 1.1545, d0.loss_cls: 2.1102, d0.loss_bbox: 0.8262, d0.loss_iou: 1.2101, d1.loss_cls: 2.0797, d1.loss_bbox: 0.8080, d1.loss_iou: 1.1908, d2.loss_cls: 2.0512, d2.loss_bbox: 0.7935, d2.loss_iou: 1.1715, d3.loss_cls: 2.0321, d3.loss_bbox: 0.7845, d3.loss_iou: 1.1612, d4.loss_cls: 2.0210, d4.loss_bbox: 0.7794, d4.loss_iou: 1.1568, loss: 24.1226, grad_norm: 14.9910 +2022-10-26 20:44:07,759 - mmdet - INFO - Epoch [16][1150/1849] lr: 2.000e-04, eta: 2:25:20, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9963, loss_bbox: 0.7784, loss_iou: 1.1503, d0.loss_cls: 2.0914, d0.loss_bbox: 0.8251, d0.loss_iou: 1.2054, d1.loss_cls: 2.0611, d1.loss_bbox: 0.8077, d1.loss_iou: 1.1868, d2.loss_cls: 2.0342, d2.loss_bbox: 0.7931, d2.loss_iou: 1.1678, d3.loss_cls: 2.0147, d3.loss_bbox: 0.7848, d3.loss_iou: 1.1589, d4.loss_cls: 2.0020, d4.loss_bbox: 0.7798, d4.loss_iou: 1.1530, loss: 23.9907, grad_norm: 14.5152 +2022-10-26 20:44:14,584 - mmdet - INFO - Epoch [16][1200/1849] lr: 2.000e-04, eta: 2:25:13, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 2.0031, loss_bbox: 0.7746, loss_iou: 1.1518, d0.loss_cls: 2.1004, d0.loss_bbox: 0.8251, d0.loss_iou: 1.2078, d1.loss_cls: 2.0698, d1.loss_bbox: 0.8056, d1.loss_iou: 1.1895, d2.loss_cls: 2.0400, d2.loss_bbox: 0.7915, d2.loss_iou: 1.1711, d3.loss_cls: 2.0237, d3.loss_bbox: 0.7823, d3.loss_iou: 1.1608, d4.loss_cls: 2.0094, d4.loss_bbox: 0.7769, d4.loss_iou: 1.1540, loss: 24.0374, grad_norm: 14.5993 +2022-10-26 20:44:21,543 - mmdet - INFO - Epoch [16][1250/1849] lr: 2.000e-04, eta: 2:25:07, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9978, loss_bbox: 0.7798, loss_iou: 1.1592, d0.loss_cls: 2.0979, d0.loss_bbox: 0.8274, d0.loss_iou: 1.2140, d1.loss_cls: 2.0644, d1.loss_bbox: 0.8096, d1.loss_iou: 1.1951, d2.loss_cls: 2.0376, d2.loss_bbox: 0.7943, d2.loss_iou: 1.1762, d3.loss_cls: 2.0190, d3.loss_bbox: 0.7866, d3.loss_iou: 1.1671, d4.loss_cls: 2.0055, d4.loss_bbox: 0.7819, d4.loss_iou: 1.1621, loss: 24.0756, grad_norm: 16.2923 +2022-10-26 20:44:28,684 - mmdet - INFO - Epoch [16][1300/1849] lr: 2.000e-04, eta: 2:25:01, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 2.0021, loss_bbox: 0.7768, loss_iou: 1.1506, d0.loss_cls: 2.1001, d0.loss_bbox: 0.8263, d0.loss_iou: 1.2062, d1.loss_cls: 2.0657, d1.loss_bbox: 0.8074, d1.loss_iou: 1.1861, d2.loss_cls: 2.0366, d2.loss_bbox: 0.7920, d2.loss_iou: 1.1677, d3.loss_cls: 2.0204, d3.loss_bbox: 0.7836, d3.loss_iou: 1.1585, d4.loss_cls: 2.0092, d4.loss_bbox: 0.7791, d4.loss_iou: 1.1529, loss: 24.0212, grad_norm: 15.3101 +2022-10-26 20:44:36,014 - mmdet - INFO - Epoch [16][1350/1849] lr: 2.000e-04, eta: 2:24:55, time: 0.147, data_time: 0.005, memory: 4401, loss_cls: 1.9844, loss_bbox: 0.7772, loss_iou: 1.1523, d0.loss_cls: 2.0800, d0.loss_bbox: 0.8260, d0.loss_iou: 1.2059, d1.loss_cls: 2.0494, d1.loss_bbox: 0.8085, d1.loss_iou: 1.1883, d2.loss_cls: 2.0193, d2.loss_bbox: 0.7938, d2.loss_iou: 1.1688, d3.loss_cls: 2.0026, d3.loss_bbox: 0.7840, d3.loss_iou: 1.1596, d4.loss_cls: 1.9925, d4.loss_bbox: 0.7792, d4.loss_iou: 1.1546, loss: 23.9266, grad_norm: 15.3031 +2022-10-26 20:44:43,079 - mmdet - INFO - Epoch [16][1400/1849] lr: 2.000e-04, eta: 2:24:48, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0059, loss_bbox: 0.7736, loss_iou: 1.1519, d0.loss_cls: 2.1027, d0.loss_bbox: 0.8216, d0.loss_iou: 1.2097, d1.loss_cls: 2.0732, d1.loss_bbox: 0.8036, d1.loss_iou: 1.1882, d2.loss_cls: 2.0409, d2.loss_bbox: 0.7885, d2.loss_iou: 1.1689, d3.loss_cls: 2.0239, d3.loss_bbox: 0.7799, d3.loss_iou: 1.1598, d4.loss_cls: 2.0107, d4.loss_bbox: 0.7750, d4.loss_iou: 1.1537, loss: 24.0318, grad_norm: 14.6222 +2022-10-26 20:44:50,042 - mmdet - INFO - Epoch [16][1450/1849] lr: 2.000e-04, eta: 2:24:42, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9967, loss_bbox: 0.7737, loss_iou: 1.1500, d0.loss_cls: 2.0913, d0.loss_bbox: 0.8241, d0.loss_iou: 1.2068, d1.loss_cls: 2.0659, d1.loss_bbox: 0.8052, d1.loss_iou: 1.1864, d2.loss_cls: 2.0359, d2.loss_bbox: 0.7888, d2.loss_iou: 1.1670, d3.loss_cls: 2.0168, d3.loss_bbox: 0.7798, d3.loss_iou: 1.1574, d4.loss_cls: 2.0037, d4.loss_bbox: 0.7756, d4.loss_iou: 1.1518, loss: 23.9767, grad_norm: 15.0100 +2022-10-26 20:44:57,119 - mmdet - INFO - Epoch [16][1500/1849] lr: 2.000e-04, eta: 2:24:35, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 2.0084, loss_bbox: 0.7805, loss_iou: 1.1585, d0.loss_cls: 2.1008, d0.loss_bbox: 0.8292, d0.loss_iou: 1.2167, d1.loss_cls: 2.0695, d1.loss_bbox: 0.8097, d1.loss_iou: 1.1953, d2.loss_cls: 2.0419, d2.loss_bbox: 0.7952, d2.loss_iou: 1.1753, d3.loss_cls: 2.0244, d3.loss_bbox: 0.7869, d3.loss_iou: 1.1663, d4.loss_cls: 2.0143, d4.loss_bbox: 0.7822, d4.loss_iou: 1.1605, loss: 24.1158, grad_norm: 13.9600 +2022-10-26 20:45:04,064 - mmdet - INFO - Epoch [16][1550/1849] lr: 2.000e-04, eta: 2:24:29, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0031, loss_bbox: 0.7716, loss_iou: 1.1489, d0.loss_cls: 2.0982, d0.loss_bbox: 0.8187, d0.loss_iou: 1.2056, d1.loss_cls: 2.0676, d1.loss_bbox: 0.8010, d1.loss_iou: 1.1849, d2.loss_cls: 2.0390, d2.loss_bbox: 0.7863, d2.loss_iou: 1.1659, d3.loss_cls: 2.0240, d3.loss_bbox: 0.7780, d3.loss_iou: 1.1566, d4.loss_cls: 2.0099, d4.loss_bbox: 0.7732, d4.loss_iou: 1.1511, loss: 23.9838, grad_norm: 13.8910 +2022-10-26 20:45:11,177 - mmdet - INFO - Epoch [16][1600/1849] lr: 2.000e-04, eta: 2:24:22, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 2.0026, loss_bbox: 0.7784, loss_iou: 1.1535, d0.loss_cls: 2.0997, d0.loss_bbox: 0.8274, d0.loss_iou: 1.2096, d1.loss_cls: 2.0696, d1.loss_bbox: 0.8082, d1.loss_iou: 1.1894, d2.loss_cls: 2.0381, d2.loss_bbox: 0.7931, d2.loss_iou: 1.1705, d3.loss_cls: 2.0216, d3.loss_bbox: 0.7841, d3.loss_iou: 1.1614, d4.loss_cls: 2.0071, d4.loss_bbox: 0.7805, d4.loss_iou: 1.1558, loss: 24.0505, grad_norm: 14.5141 +2022-10-26 20:45:18,192 - mmdet - INFO - Epoch [16][1650/1849] lr: 2.000e-04, eta: 2:24:16, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 2.0053, loss_bbox: 0.7765, loss_iou: 1.1510, d0.loss_cls: 2.1046, d0.loss_bbox: 0.8251, d0.loss_iou: 1.2082, d1.loss_cls: 2.0718, d1.loss_bbox: 0.8052, d1.loss_iou: 1.1865, d2.loss_cls: 2.0405, d2.loss_bbox: 0.7910, d2.loss_iou: 1.1685, d3.loss_cls: 2.0238, d3.loss_bbox: 0.7820, d3.loss_iou: 1.1586, d4.loss_cls: 2.0124, d4.loss_bbox: 0.7778, d4.loss_iou: 1.1533, loss: 24.0420, grad_norm: 14.6063 +2022-10-26 20:45:25,189 - mmdet - INFO - Epoch [16][1700/1849] lr: 2.000e-04, eta: 2:24:09, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0103, loss_bbox: 0.7811, loss_iou: 1.1620, d0.loss_cls: 2.1084, d0.loss_bbox: 0.8278, d0.loss_iou: 1.2160, d1.loss_cls: 2.0724, d1.loss_bbox: 0.8094, d1.loss_iou: 1.1958, d2.loss_cls: 2.0452, d2.loss_bbox: 0.7959, d2.loss_iou: 1.1776, d3.loss_cls: 2.0307, d3.loss_bbox: 0.7869, d3.loss_iou: 1.1688, d4.loss_cls: 2.0168, d4.loss_bbox: 0.7827, d4.loss_iou: 1.1640, loss: 24.1522, grad_norm: 15.5401 +2022-10-26 20:45:32,259 - mmdet - INFO - Epoch [16][1750/1849] lr: 2.000e-04, eta: 2:24:03, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0103, loss_bbox: 0.7781, loss_iou: 1.1535, d0.loss_cls: 2.0998, d0.loss_bbox: 0.8269, d0.loss_iou: 1.2099, d1.loss_cls: 2.0716, d1.loss_bbox: 0.8074, d1.loss_iou: 1.1895, d2.loss_cls: 2.0435, d2.loss_bbox: 0.7932, d2.loss_iou: 1.1701, d3.loss_cls: 2.0279, d3.loss_bbox: 0.7844, d3.loss_iou: 1.1602, d4.loss_cls: 2.0148, d4.loss_bbox: 0.7801, d4.loss_iou: 1.1554, loss: 24.0765, grad_norm: 16.2567 +2022-10-26 20:45:39,313 - mmdet - INFO - Epoch [16][1800/1849] lr: 2.000e-04, eta: 2:23:56, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 2.0095, loss_bbox: 0.7777, loss_iou: 1.1553, d0.loss_cls: 2.1089, d0.loss_bbox: 0.8284, d0.loss_iou: 1.2116, d1.loss_cls: 2.0743, d1.loss_bbox: 0.8068, d1.loss_iou: 1.1912, d2.loss_cls: 2.0482, d2.loss_bbox: 0.7932, d2.loss_iou: 1.1717, d3.loss_cls: 2.0312, d3.loss_bbox: 0.7838, d3.loss_iou: 1.1625, d4.loss_cls: 2.0180, d4.loss_bbox: 0.7793, d4.loss_iou: 1.1573, loss: 24.1087, grad_norm: 15.4476 +2022-10-26 20:45:46,388 - mmdet - INFO - Saving checkpoint at 16 epochs +2022-10-26 20:45:57,233 - mmdet - INFO - Epoch [17][50/1849] lr: 2.000e-04, eta: 2:23:36, time: 0.204, data_time: 0.063, memory: 4401, loss_cls: 1.9956, loss_bbox: 0.7753, loss_iou: 1.1515, d0.loss_cls: 2.0959, d0.loss_bbox: 0.8242, d0.loss_iou: 1.2096, d1.loss_cls: 2.0631, d1.loss_bbox: 0.8062, d1.loss_iou: 1.1889, d2.loss_cls: 2.0333, d2.loss_bbox: 0.7914, d2.loss_iou: 1.1693, d3.loss_cls: 2.0172, d3.loss_bbox: 0.7818, d3.loss_iou: 1.1591, d4.loss_cls: 2.0022, d4.loss_bbox: 0.7773, d4.loss_iou: 1.1539, loss: 23.9959, grad_norm: 13.2625 +2022-10-26 20:46:04,590 - mmdet - INFO - Epoch [17][100/1849] lr: 2.000e-04, eta: 2:23:30, time: 0.147, data_time: 0.005, memory: 4401, loss_cls: 1.9852, loss_bbox: 0.7780, loss_iou: 1.1549, d0.loss_cls: 2.0846, d0.loss_bbox: 0.8255, d0.loss_iou: 1.2104, d1.loss_cls: 2.0506, d1.loss_bbox: 0.8076, d1.loss_iou: 1.1916, d2.loss_cls: 2.0202, d2.loss_bbox: 0.7928, d2.loss_iou: 1.1721, d3.loss_cls: 2.0032, d3.loss_bbox: 0.7841, d3.loss_iou: 1.1632, d4.loss_cls: 1.9902, d4.loss_bbox: 0.7799, d4.loss_iou: 1.1577, loss: 23.9517, grad_norm: 15.8088 +2022-10-26 20:46:11,841 - mmdet - INFO - Epoch [17][150/1849] lr: 2.000e-04, eta: 2:23:24, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9933, loss_bbox: 0.7781, loss_iou: 1.1475, d0.loss_cls: 2.0925, d0.loss_bbox: 0.8274, d0.loss_iou: 1.2043, d1.loss_cls: 2.0622, d1.loss_bbox: 0.8089, d1.loss_iou: 1.1836, d2.loss_cls: 2.0306, d2.loss_bbox: 0.7927, d2.loss_iou: 1.1656, d3.loss_cls: 2.0147, d3.loss_bbox: 0.7841, d3.loss_iou: 1.1558, d4.loss_cls: 1.9999, d4.loss_bbox: 0.7795, d4.loss_iou: 1.1506, loss: 23.9712, grad_norm: 15.8726 +2022-10-26 20:46:19,104 - mmdet - INFO - Epoch [17][200/1849] lr: 2.000e-04, eta: 2:23:18, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9941, loss_bbox: 0.7752, loss_iou: 1.1466, d0.loss_cls: 2.1000, d0.loss_bbox: 0.8245, d0.loss_iou: 1.2060, d1.loss_cls: 2.0651, d1.loss_bbox: 0.8053, d1.loss_iou: 1.1844, d2.loss_cls: 2.0341, d2.loss_bbox: 0.7903, d2.loss_iou: 1.1651, d3.loss_cls: 2.0156, d3.loss_bbox: 0.7818, d3.loss_iou: 1.1551, d4.loss_cls: 2.0013, d4.loss_bbox: 0.7771, d4.loss_iou: 1.1492, loss: 23.9709, grad_norm: 15.2901 +2022-10-26 20:46:26,047 - mmdet - INFO - Epoch [17][250/1849] lr: 2.000e-04, eta: 2:23:11, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9916, loss_bbox: 0.7778, loss_iou: 1.1544, d0.loss_cls: 2.0988, d0.loss_bbox: 0.8262, d0.loss_iou: 1.2125, d1.loss_cls: 2.0610, d1.loss_bbox: 0.8070, d1.loss_iou: 1.1906, d2.loss_cls: 2.0303, d2.loss_bbox: 0.7922, d2.loss_iou: 1.1720, d3.loss_cls: 2.0128, d3.loss_bbox: 0.7843, d3.loss_iou: 1.1618, d4.loss_cls: 2.0000, d4.loss_bbox: 0.7793, d4.loss_iou: 1.1560, loss: 24.0086, grad_norm: 17.2691 +2022-10-26 20:46:33,062 - mmdet - INFO - Epoch [17][300/1849] lr: 2.000e-04, eta: 2:23:05, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9931, loss_bbox: 0.7771, loss_iou: 1.1553, d0.loss_cls: 2.0918, d0.loss_bbox: 0.8248, d0.loss_iou: 1.2133, d1.loss_cls: 2.0587, d1.loss_bbox: 0.8065, d1.loss_iou: 1.1919, d2.loss_cls: 2.0294, d2.loss_bbox: 0.7923, d2.loss_iou: 1.1740, d3.loss_cls: 2.0100, d3.loss_bbox: 0.7835, d3.loss_iou: 1.1641, d4.loss_cls: 2.0014, d4.loss_bbox: 0.7785, d4.loss_iou: 1.1585, loss: 24.0040, grad_norm: 15.6821 +2022-10-26 20:46:40,075 - mmdet - INFO - Epoch [17][350/1849] lr: 2.000e-04, eta: 2:22:58, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9916, loss_bbox: 0.7750, loss_iou: 1.1541, d0.loss_cls: 2.0883, d0.loss_bbox: 0.8234, d0.loss_iou: 1.2098, d1.loss_cls: 2.0572, d1.loss_bbox: 0.8055, d1.loss_iou: 1.1907, d2.loss_cls: 2.0280, d2.loss_bbox: 0.7897, d2.loss_iou: 1.1703, d3.loss_cls: 2.0121, d3.loss_bbox: 0.7812, d3.loss_iou: 1.1611, d4.loss_cls: 1.9974, d4.loss_bbox: 0.7767, d4.loss_iou: 1.1563, loss: 23.9684, grad_norm: 15.7087 +2022-10-26 20:46:46,918 - mmdet - INFO - Epoch [17][400/1849] lr: 2.000e-04, eta: 2:22:51, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9816, loss_bbox: 0.7725, loss_iou: 1.1479, d0.loss_cls: 2.0790, d0.loss_bbox: 0.8222, d0.loss_iou: 1.2049, d1.loss_cls: 2.0493, d1.loss_bbox: 0.8033, d1.loss_iou: 1.1842, d2.loss_cls: 2.0188, d2.loss_bbox: 0.7877, d2.loss_iou: 1.1643, d3.loss_cls: 2.0015, d3.loss_bbox: 0.7792, d3.loss_iou: 1.1556, d4.loss_cls: 1.9891, d4.loss_bbox: 0.7750, d4.loss_iou: 1.1498, loss: 23.8658, grad_norm: 13.2899 +2022-10-26 20:46:53,857 - mmdet - INFO - Epoch [17][450/1849] lr: 2.000e-04, eta: 2:22:44, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9866, loss_bbox: 0.7733, loss_iou: 1.1487, d0.loss_cls: 2.0789, d0.loss_bbox: 0.8225, d0.loss_iou: 1.2074, d1.loss_cls: 2.0477, d1.loss_bbox: 0.8043, d1.loss_iou: 1.1861, d2.loss_cls: 2.0190, d2.loss_bbox: 0.7889, d2.loss_iou: 1.1666, d3.loss_cls: 2.0020, d3.loss_bbox: 0.7806, d3.loss_iou: 1.1569, d4.loss_cls: 1.9917, d4.loss_bbox: 0.7757, d4.loss_iou: 1.1507, loss: 23.8876, grad_norm: 15.3972 +2022-10-26 20:47:00,808 - mmdet - INFO - Epoch [17][500/1849] lr: 2.000e-04, eta: 2:22:38, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9933, loss_bbox: 0.7763, loss_iou: 1.1532, d0.loss_cls: 2.0902, d0.loss_bbox: 0.8230, d0.loss_iou: 1.2094, d1.loss_cls: 2.0574, d1.loss_bbox: 0.8062, d1.loss_iou: 1.1892, d2.loss_cls: 2.0299, d2.loss_bbox: 0.7918, d2.loss_iou: 1.1695, d3.loss_cls: 2.0118, d3.loss_bbox: 0.7823, d3.loss_iou: 1.1612, d4.loss_cls: 2.0014, d4.loss_bbox: 0.7777, d4.loss_iou: 1.1557, loss: 23.9795, grad_norm: 15.1704 +2022-10-26 20:47:07,677 - mmdet - INFO - Epoch [17][550/1849] lr: 2.000e-04, eta: 2:22:31, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9905, loss_bbox: 0.7743, loss_iou: 1.1472, d0.loss_cls: 2.0873, d0.loss_bbox: 0.8225, d0.loss_iou: 1.2048, d1.loss_cls: 2.0529, d1.loss_bbox: 0.8034, d1.loss_iou: 1.1836, d2.loss_cls: 2.0244, d2.loss_bbox: 0.7885, d2.loss_iou: 1.1645, d3.loss_cls: 2.0087, d3.loss_bbox: 0.7808, d3.loss_iou: 1.1561, d4.loss_cls: 1.9958, d4.loss_bbox: 0.7765, d4.loss_iou: 1.1506, loss: 23.9123, grad_norm: 15.2064 +2022-10-26 20:47:14,497 - mmdet - INFO - Epoch [17][600/1849] lr: 2.000e-04, eta: 2:22:24, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 2.0030, loss_bbox: 0.7723, loss_iou: 1.1478, d0.loss_cls: 2.1038, d0.loss_bbox: 0.8218, d0.loss_iou: 1.2067, d1.loss_cls: 2.0702, d1.loss_bbox: 0.8016, d1.loss_iou: 1.1846, d2.loss_cls: 2.0413, d2.loss_bbox: 0.7881, d2.loss_iou: 1.1656, d3.loss_cls: 2.0236, d3.loss_bbox: 0.7783, d3.loss_iou: 1.1559, d4.loss_cls: 2.0089, d4.loss_bbox: 0.7733, d4.loss_iou: 1.1504, loss: 23.9972, grad_norm: 14.2198 +2022-10-26 20:47:21,480 - mmdet - INFO - Epoch [17][650/1849] lr: 2.000e-04, eta: 2:22:17, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 2.0037, loss_bbox: 0.7796, loss_iou: 1.1585, d0.loss_cls: 2.1012, d0.loss_bbox: 0.8256, d0.loss_iou: 1.2137, d1.loss_cls: 2.0660, d1.loss_bbox: 0.8087, d1.loss_iou: 1.1940, d2.loss_cls: 2.0396, d2.loss_bbox: 0.7953, d2.loss_iou: 1.1751, d3.loss_cls: 2.0230, d3.loss_bbox: 0.7863, d3.loss_iou: 1.1660, d4.loss_cls: 2.0098, d4.loss_bbox: 0.7814, d4.loss_iou: 1.1610, loss: 24.0885, grad_norm: 14.1182 +2022-10-26 20:47:28,627 - mmdet - INFO - Epoch [17][700/1849] lr: 2.000e-04, eta: 2:22:11, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 2.0014, loss_bbox: 0.7782, loss_iou: 1.1551, d0.loss_cls: 2.1001, d0.loss_bbox: 0.8259, d0.loss_iou: 1.2118, d1.loss_cls: 2.0661, d1.loss_bbox: 0.8095, d1.loss_iou: 1.1905, d2.loss_cls: 2.0377, d2.loss_bbox: 0.7945, d2.loss_iou: 1.1724, d3.loss_cls: 2.0209, d3.loss_bbox: 0.7848, d3.loss_iou: 1.1628, d4.loss_cls: 2.0073, d4.loss_bbox: 0.7800, d4.loss_iou: 1.1575, loss: 24.0566, grad_norm: 16.2168 +2022-10-26 20:47:39,225 - mmdet - INFO - Epoch [17][750/1849] lr: 2.000e-04, eta: 2:22:12, time: 0.212, data_time: 0.005, memory: 4401, loss_cls: 1.9976, loss_bbox: 0.7730, loss_iou: 1.1505, d0.loss_cls: 2.0991, d0.loss_bbox: 0.8209, d0.loss_iou: 1.2078, d1.loss_cls: 2.0642, d1.loss_bbox: 0.8022, d1.loss_iou: 1.1873, d2.loss_cls: 2.0330, d2.loss_bbox: 0.7876, d2.loss_iou: 1.1671, d3.loss_cls: 2.0161, d3.loss_bbox: 0.7795, d3.loss_iou: 1.1583, d4.loss_cls: 2.0054, d4.loss_bbox: 0.7746, d4.loss_iou: 1.1531, loss: 23.9774, grad_norm: 14.5985 +2022-10-26 20:47:46,201 - mmdet - INFO - Epoch [17][800/1849] lr: 2.000e-04, eta: 2:22:05, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9993, loss_bbox: 0.7728, loss_iou: 1.1527, d0.loss_cls: 2.0986, d0.loss_bbox: 0.8212, d0.loss_iou: 1.2083, d1.loss_cls: 2.0661, d1.loss_bbox: 0.8035, d1.loss_iou: 1.1885, d2.loss_cls: 2.0376, d2.loss_bbox: 0.7883, d2.loss_iou: 1.1702, d3.loss_cls: 2.0195, d3.loss_bbox: 0.7788, d3.loss_iou: 1.1597, d4.loss_cls: 2.0066, d4.loss_bbox: 0.7746, d4.loss_iou: 1.1551, loss: 24.0016, grad_norm: 14.9820 +2022-10-26 20:47:53,268 - mmdet - INFO - Epoch [17][850/1849] lr: 2.000e-04, eta: 2:21:59, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0091, loss_bbox: 0.7775, loss_iou: 1.1585, d0.loss_cls: 2.1059, d0.loss_bbox: 0.8256, d0.loss_iou: 1.2151, d1.loss_cls: 2.0744, d1.loss_bbox: 0.8081, d1.loss_iou: 1.1953, d2.loss_cls: 2.0461, d2.loss_bbox: 0.7930, d2.loss_iou: 1.1779, d3.loss_cls: 2.0281, d3.loss_bbox: 0.7837, d3.loss_iou: 1.1679, d4.loss_cls: 2.0152, d4.loss_bbox: 0.7789, d4.loss_iou: 1.1617, loss: 24.1220, grad_norm: 14.0287 +2022-10-26 20:48:00,226 - mmdet - INFO - Epoch [17][900/1849] lr: 2.000e-04, eta: 2:21:52, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 2.0034, loss_bbox: 0.7764, loss_iou: 1.1506, d0.loss_cls: 2.1024, d0.loss_bbox: 0.8259, d0.loss_iou: 1.2084, d1.loss_cls: 2.0702, d1.loss_bbox: 0.8069, d1.loss_iou: 1.1877, d2.loss_cls: 2.0411, d2.loss_bbox: 0.7923, d2.loss_iou: 1.1684, d3.loss_cls: 2.0237, d3.loss_bbox: 0.7837, d3.loss_iou: 1.1593, d4.loss_cls: 2.0111, d4.loss_bbox: 0.7786, d4.loss_iou: 1.1538, loss: 24.0439, grad_norm: 15.5342 +2022-10-26 20:48:07,282 - mmdet - INFO - Epoch [17][950/1849] lr: 2.000e-04, eta: 2:21:46, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9840, loss_bbox: 0.7741, loss_iou: 1.1465, d0.loss_cls: 2.0874, d0.loss_bbox: 0.8234, d0.loss_iou: 1.2035, d1.loss_cls: 2.0524, d1.loss_bbox: 0.8030, d1.loss_iou: 1.1827, d2.loss_cls: 2.0229, d2.loss_bbox: 0.7887, d2.loss_iou: 1.1636, d3.loss_cls: 2.0050, d3.loss_bbox: 0.7799, d3.loss_iou: 1.1542, d4.loss_cls: 1.9928, d4.loss_bbox: 0.7755, d4.loss_iou: 1.1491, loss: 23.8887, grad_norm: 15.5254 +2022-10-26 20:48:14,121 - mmdet - INFO - Epoch [17][1000/1849] lr: 2.000e-04, eta: 2:21:39, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9859, loss_bbox: 0.7721, loss_iou: 1.1495, d0.loss_cls: 2.0831, d0.loss_bbox: 0.8204, d0.loss_iou: 1.2056, d1.loss_cls: 2.0472, d1.loss_bbox: 0.8015, d1.loss_iou: 1.1852, d2.loss_cls: 2.0195, d2.loss_bbox: 0.7870, d2.loss_iou: 1.1659, d3.loss_cls: 2.0050, d3.loss_bbox: 0.7784, d3.loss_iou: 1.1571, d4.loss_cls: 1.9926, d4.loss_bbox: 0.7738, d4.loss_iou: 1.1522, loss: 23.8819, grad_norm: 16.5503 +2022-10-26 20:48:20,920 - mmdet - INFO - Epoch [17][1050/1849] lr: 2.000e-04, eta: 2:21:32, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9991, loss_bbox: 0.7726, loss_iou: 1.1487, d0.loss_cls: 2.0985, d0.loss_bbox: 0.8232, d0.loss_iou: 1.2066, d1.loss_cls: 2.0631, d1.loss_bbox: 0.8041, d1.loss_iou: 1.1868, d2.loss_cls: 2.0341, d2.loss_bbox: 0.7890, d2.loss_iou: 1.1666, d3.loss_cls: 2.0159, d3.loss_bbox: 0.7800, d3.loss_iou: 1.1568, d4.loss_cls: 2.0038, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1514, loss: 23.9747, grad_norm: 15.5776 +2022-10-26 20:48:27,725 - mmdet - INFO - Epoch [17][1100/1849] lr: 2.000e-04, eta: 2:21:25, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9969, loss_bbox: 0.7776, loss_iou: 1.1516, d0.loss_cls: 2.0907, d0.loss_bbox: 0.8244, d0.loss_iou: 1.2077, d1.loss_cls: 2.0583, d1.loss_bbox: 0.8064, d1.loss_iou: 1.1872, d2.loss_cls: 2.0311, d2.loss_bbox: 0.7917, d2.loss_iou: 1.1677, d3.loss_cls: 2.0141, d3.loss_bbox: 0.7834, d3.loss_iou: 1.1599, d4.loss_cls: 2.0029, d4.loss_bbox: 0.7792, d4.loss_iou: 1.1541, loss: 23.9848, grad_norm: 16.0427 +2022-10-26 20:48:34,550 - mmdet - INFO - Epoch [17][1150/1849] lr: 2.000e-04, eta: 2:21:18, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9952, loss_bbox: 0.7719, loss_iou: 1.1450, d0.loss_cls: 2.0934, d0.loss_bbox: 0.8224, d0.loss_iou: 1.2042, d1.loss_cls: 2.0623, d1.loss_bbox: 0.8031, d1.loss_iou: 1.1831, d2.loss_cls: 2.0306, d2.loss_bbox: 0.7878, d2.loss_iou: 1.1625, d3.loss_cls: 2.0135, d3.loss_bbox: 0.7787, d3.loss_iou: 1.1532, d4.loss_cls: 2.0036, d4.loss_bbox: 0.7739, d4.loss_iou: 1.1472, loss: 23.9316, grad_norm: 14.6683 +2022-10-26 20:48:41,243 - mmdet - INFO - Epoch [17][1200/1849] lr: 2.000e-04, eta: 2:21:10, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9870, loss_bbox: 0.7754, loss_iou: 1.1492, d0.loss_cls: 2.0858, d0.loss_bbox: 0.8225, d0.loss_iou: 1.2054, d1.loss_cls: 2.0522, d1.loss_bbox: 0.8054, d1.loss_iou: 1.1846, d2.loss_cls: 2.0221, d2.loss_bbox: 0.7904, d2.loss_iou: 1.1654, d3.loss_cls: 2.0035, d3.loss_bbox: 0.7822, d3.loss_iou: 1.1566, d4.loss_cls: 1.9930, d4.loss_bbox: 0.7773, d4.loss_iou: 1.1512, loss: 23.9091, grad_norm: 14.9310 +2022-10-26 20:48:47,826 - mmdet - INFO - Epoch [17][1250/1849] lr: 2.000e-04, eta: 2:21:03, time: 0.132, data_time: 0.004, memory: 4401, loss_cls: 1.9902, loss_bbox: 0.7720, loss_iou: 1.1480, d0.loss_cls: 2.0884, d0.loss_bbox: 0.8200, d0.loss_iou: 1.2060, d1.loss_cls: 2.0557, d1.loss_bbox: 0.8014, d1.loss_iou: 1.1839, d2.loss_cls: 2.0244, d2.loss_bbox: 0.7868, d2.loss_iou: 1.1656, d3.loss_cls: 2.0064, d3.loss_bbox: 0.7781, d3.loss_iou: 1.1564, d4.loss_cls: 1.9965, d4.loss_bbox: 0.7741, d4.loss_iou: 1.1507, loss: 23.9045, grad_norm: 13.6296 +2022-10-26 20:48:54,608 - mmdet - INFO - Epoch [17][1300/1849] lr: 2.000e-04, eta: 2:20:56, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9965, loss_bbox: 0.7730, loss_iou: 1.1484, d0.loss_cls: 2.0953, d0.loss_bbox: 0.8235, d0.loss_iou: 1.2074, d1.loss_cls: 2.0645, d1.loss_bbox: 0.8041, d1.loss_iou: 1.1847, d2.loss_cls: 2.0362, d2.loss_bbox: 0.7888, d2.loss_iou: 1.1661, d3.loss_cls: 2.0165, d3.loss_bbox: 0.7801, d3.loss_iou: 1.1562, d4.loss_cls: 2.0022, d4.loss_bbox: 0.7749, d4.loss_iou: 1.1507, loss: 23.9690, grad_norm: 14.4952 +2022-10-26 20:49:01,520 - mmdet - INFO - Epoch [17][1350/1849] lr: 2.000e-04, eta: 2:20:49, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9895, loss_bbox: 0.7748, loss_iou: 1.1509, d0.loss_cls: 2.0882, d0.loss_bbox: 0.8235, d0.loss_iou: 1.2071, d1.loss_cls: 2.0568, d1.loss_bbox: 0.8056, d1.loss_iou: 1.1877, d2.loss_cls: 2.0259, d2.loss_bbox: 0.7906, d2.loss_iou: 1.1684, d3.loss_cls: 2.0087, d3.loss_bbox: 0.7819, d3.loss_iou: 1.1595, d4.loss_cls: 1.9970, d4.loss_bbox: 0.7764, d4.loss_iou: 1.1536, loss: 23.9461, grad_norm: 15.6444 +2022-10-26 20:49:08,509 - mmdet - INFO - Epoch [17][1400/1849] lr: 2.000e-04, eta: 2:20:43, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9973, loss_bbox: 0.7763, loss_iou: 1.1534, d0.loss_cls: 2.0939, d0.loss_bbox: 0.8247, d0.loss_iou: 1.2097, d1.loss_cls: 2.0605, d1.loss_bbox: 0.8067, d1.loss_iou: 1.1891, d2.loss_cls: 2.0313, d2.loss_bbox: 0.7920, d2.loss_iou: 1.1706, d3.loss_cls: 2.0141, d3.loss_bbox: 0.7833, d3.loss_iou: 1.1609, d4.loss_cls: 2.0021, d4.loss_bbox: 0.7785, d4.loss_iou: 1.1556, loss: 23.9999, grad_norm: 15.3716 +2022-10-26 20:49:15,382 - mmdet - INFO - Epoch [17][1450/1849] lr: 2.000e-04, eta: 2:20:36, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9962, loss_bbox: 0.7764, loss_iou: 1.1498, d0.loss_cls: 2.0947, d0.loss_bbox: 0.8250, d0.loss_iou: 1.2056, d1.loss_cls: 2.0616, d1.loss_bbox: 0.8068, d1.loss_iou: 1.1857, d2.loss_cls: 2.0313, d2.loss_bbox: 0.7916, d2.loss_iou: 1.1677, d3.loss_cls: 2.0147, d3.loss_bbox: 0.7825, d3.loss_iou: 1.1582, d4.loss_cls: 2.0014, d4.loss_bbox: 0.7781, d4.loss_iou: 1.1527, loss: 23.9799, grad_norm: 15.1366 +2022-10-26 20:49:22,300 - mmdet - INFO - Epoch [17][1500/1849] lr: 2.000e-04, eta: 2:20:29, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9843, loss_bbox: 0.7717, loss_iou: 1.1491, d0.loss_cls: 2.0814, d0.loss_bbox: 0.8209, d0.loss_iou: 1.2056, d1.loss_cls: 2.0514, d1.loss_bbox: 0.8011, d1.loss_iou: 1.1854, d2.loss_cls: 2.0210, d2.loss_bbox: 0.7868, d2.loss_iou: 1.1665, d3.loss_cls: 2.0052, d3.loss_bbox: 0.7772, d3.loss_iou: 1.1577, d4.loss_cls: 1.9918, d4.loss_bbox: 0.7734, d4.loss_iou: 1.1515, loss: 23.8818, grad_norm: 14.8012 +2022-10-26 20:49:29,415 - mmdet - INFO - Epoch [17][1550/1849] lr: 2.000e-04, eta: 2:20:23, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9934, loss_bbox: 0.7732, loss_iou: 1.1457, d0.loss_cls: 2.0960, d0.loss_bbox: 0.8225, d0.loss_iou: 1.2018, d1.loss_cls: 2.0604, d1.loss_bbox: 0.8027, d1.loss_iou: 1.1818, d2.loss_cls: 2.0300, d2.loss_bbox: 0.7889, d2.loss_iou: 1.1630, d3.loss_cls: 2.0120, d3.loss_bbox: 0.7792, d3.loss_iou: 1.1540, d4.loss_cls: 1.9991, d4.loss_bbox: 0.7747, d4.loss_iou: 1.1483, loss: 23.9269, grad_norm: 15.8001 +2022-10-26 20:49:36,355 - mmdet - INFO - Epoch [17][1600/1849] lr: 2.000e-04, eta: 2:20:16, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9985, loss_bbox: 0.7784, loss_iou: 1.1538, d0.loss_cls: 2.0945, d0.loss_bbox: 0.8253, d0.loss_iou: 1.2086, d1.loss_cls: 2.0636, d1.loss_bbox: 0.8079, d1.loss_iou: 1.1889, d2.loss_cls: 2.0382, d2.loss_bbox: 0.7928, d2.loss_iou: 1.1695, d3.loss_cls: 2.0199, d3.loss_bbox: 0.7844, d3.loss_iou: 1.1608, d4.loss_cls: 2.0060, d4.loss_bbox: 0.7802, d4.loss_iou: 1.1559, loss: 24.0271, grad_norm: 15.7398 +2022-10-26 20:49:43,366 - mmdet - INFO - Epoch [17][1650/1849] lr: 2.000e-04, eta: 2:20:09, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9856, loss_bbox: 0.7737, loss_iou: 1.1478, d0.loss_cls: 2.0801, d0.loss_bbox: 0.8224, d0.loss_iou: 1.2053, d1.loss_cls: 2.0496, d1.loss_bbox: 0.8032, d1.loss_iou: 1.1838, d2.loss_cls: 2.0209, d2.loss_bbox: 0.7891, d2.loss_iou: 1.1651, d3.loss_cls: 2.0032, d3.loss_bbox: 0.7803, d3.loss_iou: 1.1551, d4.loss_cls: 1.9901, d4.loss_bbox: 0.7755, d4.loss_iou: 1.1504, loss: 23.8812, grad_norm: 16.0700 +2022-10-26 20:49:50,372 - mmdet - INFO - Epoch [17][1700/1849] lr: 2.000e-04, eta: 2:20:03, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9900, loss_bbox: 0.7767, loss_iou: 1.1482, d0.loss_cls: 2.0883, d0.loss_bbox: 0.8263, d0.loss_iou: 1.2062, d1.loss_cls: 2.0579, d1.loss_bbox: 0.8058, d1.loss_iou: 1.1841, d2.loss_cls: 2.0271, d2.loss_bbox: 0.7913, d2.loss_iou: 1.1655, d3.loss_cls: 2.0075, d3.loss_bbox: 0.7829, d3.loss_iou: 1.1570, d4.loss_cls: 1.9960, d4.loss_bbox: 0.7780, d4.loss_iou: 1.1515, loss: 23.9405, grad_norm: 16.6100 +2022-10-26 20:49:57,174 - mmdet - INFO - Epoch [17][1750/1849] lr: 2.000e-04, eta: 2:19:56, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9942, loss_bbox: 0.7782, loss_iou: 1.1535, d0.loss_cls: 2.0933, d0.loss_bbox: 0.8261, d0.loss_iou: 1.2105, d1.loss_cls: 2.0626, d1.loss_bbox: 0.8078, d1.loss_iou: 1.1900, d2.loss_cls: 2.0300, d2.loss_bbox: 0.7935, d2.loss_iou: 1.1706, d3.loss_cls: 2.0128, d3.loss_bbox: 0.7851, d3.loss_iou: 1.1617, d4.loss_cls: 2.0012, d4.loss_bbox: 0.7802, d4.loss_iou: 1.1558, loss: 24.0071, grad_norm: 15.3555 +2022-10-26 20:50:04,080 - mmdet - INFO - Epoch [17][1800/1849] lr: 2.000e-04, eta: 2:19:49, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9938, loss_bbox: 0.7763, loss_iou: 1.1492, d0.loss_cls: 2.0929, d0.loss_bbox: 0.8262, d0.loss_iou: 1.2056, d1.loss_cls: 2.0563, d1.loss_bbox: 0.8067, d1.loss_iou: 1.1851, d2.loss_cls: 2.0305, d2.loss_bbox: 0.7930, d2.loss_iou: 1.1653, d3.loss_cls: 2.0138, d3.loss_bbox: 0.7834, d3.loss_iou: 1.1567, d4.loss_cls: 1.9999, d4.loss_bbox: 0.7787, d4.loss_iou: 1.1519, loss: 23.9651, grad_norm: 14.8523 +2022-10-26 20:50:11,068 - mmdet - INFO - Saving checkpoint at 17 epochs +2022-10-26 20:50:21,841 - mmdet - INFO - Epoch [18][50/1849] lr: 2.000e-04, eta: 2:19:29, time: 0.203, data_time: 0.064, memory: 4401, loss_cls: 1.9782, loss_bbox: 0.7742, loss_iou: 1.1489, d0.loss_cls: 2.0788, d0.loss_bbox: 0.8232, d0.loss_iou: 1.2060, d1.loss_cls: 2.0457, d1.loss_bbox: 0.8057, d1.loss_iou: 1.1864, d2.loss_cls: 2.0169, d2.loss_bbox: 0.7900, d2.loss_iou: 1.1668, d3.loss_cls: 1.9976, d3.loss_bbox: 0.7816, d3.loss_iou: 1.1569, d4.loss_cls: 1.9851, d4.loss_bbox: 0.7763, d4.loss_iou: 1.1520, loss: 23.8703, grad_norm: 14.3891 +2022-10-26 20:50:28,638 - mmdet - INFO - Epoch [18][100/1849] lr: 2.000e-04, eta: 2:19:22, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9840, loss_bbox: 0.7646, loss_iou: 1.1400, d0.loss_cls: 2.0839, d0.loss_bbox: 0.8154, d0.loss_iou: 1.1991, d1.loss_cls: 2.0503, d1.loss_bbox: 0.7958, d1.loss_iou: 1.1780, d2.loss_cls: 2.0229, d2.loss_bbox: 0.7806, d2.loss_iou: 1.1574, d3.loss_cls: 2.0044, d3.loss_bbox: 0.7713, d3.loss_iou: 1.1478, d4.loss_cls: 1.9912, d4.loss_bbox: 0.7666, d4.loss_iou: 1.1424, loss: 23.7957, grad_norm: 15.0738 +2022-10-26 20:50:35,469 - mmdet - INFO - Epoch [18][150/1849] lr: 2.000e-04, eta: 2:19:15, time: 0.137, data_time: 0.006, memory: 4401, loss_cls: 1.9938, loss_bbox: 0.7777, loss_iou: 1.1504, d0.loss_cls: 2.0955, d0.loss_bbox: 0.8265, d0.loss_iou: 1.2070, d1.loss_cls: 2.0663, d1.loss_bbox: 0.8076, d1.loss_iou: 1.1873, d2.loss_cls: 2.0334, d2.loss_bbox: 0.7940, d2.loss_iou: 1.1680, d3.loss_cls: 2.0150, d3.loss_bbox: 0.7846, d3.loss_iou: 1.1593, d4.loss_cls: 2.0030, d4.loss_bbox: 0.7793, d4.loss_iou: 1.1527, loss: 24.0013, grad_norm: 15.2732 +2022-10-26 20:50:42,348 - mmdet - INFO - Epoch [18][200/1849] lr: 2.000e-04, eta: 2:19:08, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9806, loss_bbox: 0.7744, loss_iou: 1.1451, d0.loss_cls: 2.0827, d0.loss_bbox: 0.8236, d0.loss_iou: 1.2031, d1.loss_cls: 2.0474, d1.loss_bbox: 0.8050, d1.loss_iou: 1.1822, d2.loss_cls: 2.0164, d2.loss_bbox: 0.7903, d2.loss_iou: 1.1636, d3.loss_cls: 2.0018, d3.loss_bbox: 0.7810, d3.loss_iou: 1.1540, d4.loss_cls: 1.9865, d4.loss_bbox: 0.7760, d4.loss_iou: 1.1481, loss: 23.8616, grad_norm: 15.2358 +2022-10-26 20:50:49,264 - mmdet - INFO - Epoch [18][250/1849] lr: 2.000e-04, eta: 2:19:01, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9854, loss_bbox: 0.7738, loss_iou: 1.1504, d0.loss_cls: 2.0839, d0.loss_bbox: 0.8218, d0.loss_iou: 1.2078, d1.loss_cls: 2.0498, d1.loss_bbox: 0.8029, d1.loss_iou: 1.1880, d2.loss_cls: 2.0195, d2.loss_bbox: 0.7895, d2.loss_iou: 1.1675, d3.loss_cls: 2.0018, d3.loss_bbox: 0.7803, d3.loss_iou: 1.1587, d4.loss_cls: 1.9914, d4.loss_bbox: 0.7752, d4.loss_iou: 1.1529, loss: 23.9005, grad_norm: 15.3746 +2022-10-26 20:50:56,295 - mmdet - INFO - Epoch [18][300/1849] lr: 2.000e-04, eta: 2:18:54, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9924, loss_bbox: 0.7767, loss_iou: 1.1527, d0.loss_cls: 2.0900, d0.loss_bbox: 0.8236, d0.loss_iou: 1.2088, d1.loss_cls: 2.0583, d1.loss_bbox: 0.8055, d1.loss_iou: 1.1882, d2.loss_cls: 2.0297, d2.loss_bbox: 0.7914, d2.loss_iou: 1.1691, d3.loss_cls: 2.0126, d3.loss_bbox: 0.7829, d3.loss_iou: 1.1606, d4.loss_cls: 2.0018, d4.loss_bbox: 0.7785, d4.loss_iou: 1.1551, loss: 23.9779, grad_norm: 17.2120 +2022-10-26 20:51:03,596 - mmdet - INFO - Epoch [18][350/1849] lr: 2.000e-04, eta: 2:18:48, time: 0.146, data_time: 0.006, memory: 4401, loss_cls: 1.9859, loss_bbox: 0.7726, loss_iou: 1.1482, d0.loss_cls: 2.0879, d0.loss_bbox: 0.8219, d0.loss_iou: 1.2072, d1.loss_cls: 2.0515, d1.loss_bbox: 0.8028, d1.loss_iou: 1.1868, d2.loss_cls: 2.0241, d2.loss_bbox: 0.7883, d2.loss_iou: 1.1655, d3.loss_cls: 2.0062, d3.loss_bbox: 0.7799, d3.loss_iou: 1.1557, d4.loss_cls: 1.9932, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1509, loss: 23.9032, grad_norm: 14.5534 +2022-10-26 20:51:10,611 - mmdet - INFO - Epoch [18][400/1849] lr: 2.000e-04, eta: 2:18:42, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9872, loss_bbox: 0.7748, loss_iou: 1.1540, d0.loss_cls: 2.0828, d0.loss_bbox: 0.8241, d0.loss_iou: 1.2116, d1.loss_cls: 2.0520, d1.loss_bbox: 0.8046, d1.loss_iou: 1.1910, d2.loss_cls: 2.0228, d2.loss_bbox: 0.7910, d2.loss_iou: 1.1720, d3.loss_cls: 2.0065, d3.loss_bbox: 0.7818, d3.loss_iou: 1.1627, d4.loss_cls: 1.9949, d4.loss_bbox: 0.7769, d4.loss_iou: 1.1567, loss: 23.9474, grad_norm: 15.8675 +2022-10-26 20:51:17,506 - mmdet - INFO - Epoch [18][450/1849] lr: 2.000e-04, eta: 2:18:35, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9936, loss_bbox: 0.7753, loss_iou: 1.1528, d0.loss_cls: 2.0955, d0.loss_bbox: 0.8227, d0.loss_iou: 1.2096, d1.loss_cls: 2.0599, d1.loss_bbox: 0.8052, d1.loss_iou: 1.1889, d2.loss_cls: 2.0268, d2.loss_bbox: 0.7907, d2.loss_iou: 1.1694, d3.loss_cls: 2.0139, d3.loss_bbox: 0.7826, d3.loss_iou: 1.1593, d4.loss_cls: 2.0003, d4.loss_bbox: 0.7770, d4.loss_iou: 1.1548, loss: 23.9782, grad_norm: 14.0707 +2022-10-26 20:51:24,429 - mmdet - INFO - Epoch [18][500/1849] lr: 2.000e-04, eta: 2:18:28, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9901, loss_bbox: 0.7718, loss_iou: 1.1463, d0.loss_cls: 2.0922, d0.loss_bbox: 0.8194, d0.loss_iou: 1.2048, d1.loss_cls: 2.0565, d1.loss_bbox: 0.8016, d1.loss_iou: 1.1832, d2.loss_cls: 2.0253, d2.loss_bbox: 0.7869, d2.loss_iou: 1.1642, d3.loss_cls: 2.0105, d3.loss_bbox: 0.7778, d3.loss_iou: 1.1551, d4.loss_cls: 1.9965, d4.loss_bbox: 0.7735, d4.loss_iou: 1.1492, loss: 23.9050, grad_norm: 15.8491 +2022-10-26 20:51:31,363 - mmdet - INFO - Epoch [18][550/1849] lr: 2.000e-04, eta: 2:18:22, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9651, loss_bbox: 0.7693, loss_iou: 1.1456, d0.loss_cls: 2.0616, d0.loss_bbox: 0.8182, d0.loss_iou: 1.2023, d1.loss_cls: 2.0305, d1.loss_bbox: 0.7995, d1.loss_iou: 1.1838, d2.loss_cls: 2.0035, d2.loss_bbox: 0.7847, d2.loss_iou: 1.1638, d3.loss_cls: 1.9850, d3.loss_bbox: 0.7757, d3.loss_iou: 1.1541, d4.loss_cls: 1.9733, d4.loss_bbox: 0.7711, d4.loss_iou: 1.1481, loss: 23.7352, grad_norm: 14.2323 +2022-10-26 20:51:38,590 - mmdet - INFO - Epoch [18][600/1849] lr: 2.000e-04, eta: 2:18:15, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9874, loss_bbox: 0.7731, loss_iou: 1.1497, d0.loss_cls: 2.0880, d0.loss_bbox: 0.8231, d0.loss_iou: 1.2057, d1.loss_cls: 2.0523, d1.loss_bbox: 0.8034, d1.loss_iou: 1.1854, d2.loss_cls: 2.0221, d2.loss_bbox: 0.7890, d2.loss_iou: 1.1676, d3.loss_cls: 2.0066, d3.loss_bbox: 0.7797, d3.loss_iou: 1.1572, d4.loss_cls: 1.9937, d4.loss_bbox: 0.7744, d4.loss_iou: 1.1521, loss: 23.9102, grad_norm: 15.2631 +2022-10-26 20:51:45,599 - mmdet - INFO - Epoch [18][650/1849] lr: 2.000e-04, eta: 2:18:09, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9811, loss_bbox: 0.7659, loss_iou: 1.1438, d0.loss_cls: 2.0797, d0.loss_bbox: 0.8146, d0.loss_iou: 1.2018, d1.loss_cls: 2.0469, d1.loss_bbox: 0.7948, d1.loss_iou: 1.1805, d2.loss_cls: 2.0156, d2.loss_bbox: 0.7811, d2.loss_iou: 1.1616, d3.loss_cls: 2.0003, d3.loss_bbox: 0.7726, d3.loss_iou: 1.1517, d4.loss_cls: 1.9879, d4.loss_bbox: 0.7673, d4.loss_iou: 1.1468, loss: 23.7940, grad_norm: 14.6441 +2022-10-26 20:51:52,654 - mmdet - INFO - Epoch [18][700/1849] lr: 2.000e-04, eta: 2:18:02, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0001, loss_bbox: 0.7698, loss_iou: 1.1470, d0.loss_cls: 2.1006, d0.loss_bbox: 0.8194, d0.loss_iou: 1.2044, d1.loss_cls: 2.0702, d1.loss_bbox: 0.8005, d1.loss_iou: 1.1858, d2.loss_cls: 2.0393, d2.loss_bbox: 0.7861, d2.loss_iou: 1.1652, d3.loss_cls: 2.0196, d3.loss_bbox: 0.7764, d3.loss_iou: 1.1554, d4.loss_cls: 2.0065, d4.loss_bbox: 0.7718, d4.loss_iou: 1.1498, loss: 23.9678, grad_norm: 16.8047 +2022-10-26 20:51:59,724 - mmdet - INFO - Epoch [18][750/1849] lr: 2.000e-04, eta: 2:17:56, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9880, loss_bbox: 0.7704, loss_iou: 1.1508, d0.loss_cls: 2.0860, d0.loss_bbox: 0.8197, d0.loss_iou: 1.2091, d1.loss_cls: 2.0539, d1.loss_bbox: 0.8019, d1.loss_iou: 1.1879, d2.loss_cls: 2.0241, d2.loss_bbox: 0.7861, d2.loss_iou: 1.1691, d3.loss_cls: 2.0083, d3.loss_bbox: 0.7774, d3.loss_iou: 1.1595, d4.loss_cls: 1.9957, d4.loss_bbox: 0.7726, d4.loss_iou: 1.1538, loss: 23.9142, grad_norm: 15.1319 +2022-10-26 20:52:06,694 - mmdet - INFO - Epoch [18][800/1849] lr: 2.000e-04, eta: 2:17:49, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9814, loss_bbox: 0.7699, loss_iou: 1.1490, d0.loss_cls: 2.0809, d0.loss_bbox: 0.8200, d0.loss_iou: 1.2079, d1.loss_cls: 2.0470, d1.loss_bbox: 0.7993, d1.loss_iou: 1.1867, d2.loss_cls: 2.0180, d2.loss_bbox: 0.7852, d2.loss_iou: 1.1673, d3.loss_cls: 2.0012, d3.loss_bbox: 0.7771, d3.loss_iou: 1.1574, d4.loss_cls: 1.9858, d4.loss_bbox: 0.7718, d4.loss_iou: 1.1513, loss: 23.8571, grad_norm: 15.5792 +2022-10-26 20:52:13,593 - mmdet - INFO - Epoch [18][850/1849] lr: 2.000e-04, eta: 2:17:42, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9906, loss_bbox: 0.7736, loss_iou: 1.1490, d0.loss_cls: 2.0930, d0.loss_bbox: 0.8218, d0.loss_iou: 1.2052, d1.loss_cls: 2.0608, d1.loss_bbox: 0.8035, d1.loss_iou: 1.1849, d2.loss_cls: 2.0273, d2.loss_bbox: 0.7892, d2.loss_iou: 1.1657, d3.loss_cls: 2.0097, d3.loss_bbox: 0.7799, d3.loss_iou: 1.1567, d4.loss_cls: 1.9978, d4.loss_bbox: 0.7754, d4.loss_iou: 1.1511, loss: 23.9352, grad_norm: 15.7721 +2022-10-26 20:52:20,573 - mmdet - INFO - Epoch [18][900/1849] lr: 2.000e-04, eta: 2:17:36, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9760, loss_bbox: 0.7727, loss_iou: 1.1482, d0.loss_cls: 2.0793, d0.loss_bbox: 0.8213, d0.loss_iou: 1.2042, d1.loss_cls: 2.0457, d1.loss_bbox: 0.8030, d1.loss_iou: 1.1835, d2.loss_cls: 2.0166, d2.loss_bbox: 0.7877, d2.loss_iou: 1.1646, d3.loss_cls: 1.9977, d3.loss_bbox: 0.7795, d3.loss_iou: 1.1556, d4.loss_cls: 1.9857, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1505, loss: 23.8462, grad_norm: 16.3502 +2022-10-26 20:52:27,538 - mmdet - INFO - Epoch [18][950/1849] lr: 2.000e-04, eta: 2:17:29, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9921, loss_bbox: 0.7737, loss_iou: 1.1524, d0.loss_cls: 2.0928, d0.loss_bbox: 0.8243, d0.loss_iou: 1.2109, d1.loss_cls: 2.0589, d1.loss_bbox: 0.8050, d1.loss_iou: 1.1892, d2.loss_cls: 2.0305, d2.loss_bbox: 0.7894, d2.loss_iou: 1.1690, d3.loss_cls: 2.0133, d3.loss_bbox: 0.7811, d3.loss_iou: 1.1594, d4.loss_cls: 2.0000, d4.loss_bbox: 0.7759, d4.loss_iou: 1.1543, loss: 23.9721, grad_norm: 14.4191 +2022-10-26 20:52:34,664 - mmdet - INFO - Epoch [18][1000/1849] lr: 2.000e-04, eta: 2:17:23, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9726, loss_bbox: 0.7700, loss_iou: 1.1443, d0.loss_cls: 2.0723, d0.loss_bbox: 0.8179, d0.loss_iou: 1.2026, d1.loss_cls: 2.0364, d1.loss_bbox: 0.7996, d1.loss_iou: 1.1818, d2.loss_cls: 2.0088, d2.loss_bbox: 0.7854, d2.loss_iou: 1.1618, d3.loss_cls: 1.9932, d3.loss_bbox: 0.7758, d3.loss_iou: 1.1530, d4.loss_cls: 1.9796, d4.loss_bbox: 0.7714, d4.loss_iou: 1.1473, loss: 23.7739, grad_norm: 14.9619 +2022-10-26 20:52:41,658 - mmdet - INFO - Epoch [18][1050/1849] lr: 2.000e-04, eta: 2:17:16, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9866, loss_bbox: 0.7719, loss_iou: 1.1468, d0.loss_cls: 2.0814, d0.loss_bbox: 0.8223, d0.loss_iou: 1.2060, d1.loss_cls: 2.0500, d1.loss_bbox: 0.8027, d1.loss_iou: 1.1846, d2.loss_cls: 2.0236, d2.loss_bbox: 0.7876, d2.loss_iou: 1.1650, d3.loss_cls: 2.0046, d3.loss_bbox: 0.7787, d3.loss_iou: 1.1555, d4.loss_cls: 1.9936, d4.loss_bbox: 0.7738, d4.loss_iou: 1.1496, loss: 23.8842, grad_norm: 14.2783 +2022-10-26 20:52:48,710 - mmdet - INFO - Epoch [18][1100/1849] lr: 2.000e-04, eta: 2:17:09, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 2.0001, loss_bbox: 0.7723, loss_iou: 1.1488, d0.loss_cls: 2.0991, d0.loss_bbox: 0.8217, d0.loss_iou: 1.2075, d1.loss_cls: 2.0690, d1.loss_bbox: 0.8037, d1.loss_iou: 1.1865, d2.loss_cls: 2.0358, d2.loss_bbox: 0.7885, d2.loss_iou: 1.1673, d3.loss_cls: 2.0182, d3.loss_bbox: 0.7787, d3.loss_iou: 1.1577, d4.loss_cls: 2.0062, d4.loss_bbox: 0.7742, d4.loss_iou: 1.1520, loss: 23.9874, grad_norm: 13.6771 +2022-10-26 20:52:55,724 - mmdet - INFO - Epoch [18][1150/1849] lr: 2.000e-04, eta: 2:17:03, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9935, loss_bbox: 0.7711, loss_iou: 1.1487, d0.loss_cls: 2.0907, d0.loss_bbox: 0.8183, d0.loss_iou: 1.2064, d1.loss_cls: 2.0596, d1.loss_bbox: 0.8003, d1.loss_iou: 1.1858, d2.loss_cls: 2.0296, d2.loss_bbox: 0.7866, d2.loss_iou: 1.1652, d3.loss_cls: 2.0128, d3.loss_bbox: 0.7779, d3.loss_iou: 1.1562, d4.loss_cls: 2.0014, d4.loss_bbox: 0.7730, d4.loss_iou: 1.1511, loss: 23.9281, grad_norm: 15.5790 +2022-10-26 20:53:02,703 - mmdet - INFO - Epoch [18][1200/1849] lr: 2.000e-04, eta: 2:16:56, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9755, loss_bbox: 0.7766, loss_iou: 1.1499, d0.loss_cls: 2.0714, d0.loss_bbox: 0.8245, d0.loss_iou: 1.2066, d1.loss_cls: 2.0396, d1.loss_bbox: 0.8064, d1.loss_iou: 1.1856, d2.loss_cls: 2.0079, d2.loss_bbox: 0.7915, d2.loss_iou: 1.1668, d3.loss_cls: 1.9917, d3.loss_bbox: 0.7830, d3.loss_iou: 1.1576, d4.loss_cls: 1.9806, d4.loss_bbox: 0.7788, d4.loss_iou: 1.1524, loss: 23.8464, grad_norm: 16.2088 +2022-10-26 20:53:09,628 - mmdet - INFO - Epoch [18][1250/1849] lr: 2.000e-04, eta: 2:16:49, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9796, loss_bbox: 0.7731, loss_iou: 1.1530, d0.loss_cls: 2.0794, d0.loss_bbox: 0.8209, d0.loss_iou: 1.2107, d1.loss_cls: 2.0458, d1.loss_bbox: 0.8030, d1.loss_iou: 1.1905, d2.loss_cls: 2.0153, d2.loss_bbox: 0.7888, d2.loss_iou: 1.1707, d3.loss_cls: 1.9974, d3.loss_bbox: 0.7794, d3.loss_iou: 1.1608, d4.loss_cls: 1.9856, d4.loss_bbox: 0.7747, d4.loss_iou: 1.1552, loss: 23.8836, grad_norm: 14.5872 +2022-10-26 20:53:16,500 - mmdet - INFO - Epoch [18][1300/1849] lr: 2.000e-04, eta: 2:16:43, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9879, loss_bbox: 0.7725, loss_iou: 1.1499, d0.loss_cls: 2.0829, d0.loss_bbox: 0.8219, d0.loss_iou: 1.2077, d1.loss_cls: 2.0544, d1.loss_bbox: 0.8034, d1.loss_iou: 1.1868, d2.loss_cls: 2.0223, d2.loss_bbox: 0.7887, d2.loss_iou: 1.1688, d3.loss_cls: 2.0053, d3.loss_bbox: 0.7799, d3.loss_iou: 1.1592, d4.loss_cls: 1.9948, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1526, loss: 23.9135, grad_norm: 14.0694 +2022-10-26 20:53:23,662 - mmdet - INFO - Epoch [18][1350/1849] lr: 2.000e-04, eta: 2:16:36, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9981, loss_bbox: 0.7751, loss_iou: 1.1510, d0.loss_cls: 2.0964, d0.loss_bbox: 0.8241, d0.loss_iou: 1.2078, d1.loss_cls: 2.0652, d1.loss_bbox: 0.8051, d1.loss_iou: 1.1871, d2.loss_cls: 2.0360, d2.loss_bbox: 0.7908, d2.loss_iou: 1.1676, d3.loss_cls: 2.0189, d3.loss_bbox: 0.7822, d3.loss_iou: 1.1575, d4.loss_cls: 2.0038, d4.loss_bbox: 0.7766, d4.loss_iou: 1.1528, loss: 23.9962, grad_norm: 14.9905 +2022-10-26 20:53:30,755 - mmdet - INFO - Epoch [18][1400/1849] lr: 2.000e-04, eta: 2:16:30, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9953, loss_bbox: 0.7717, loss_iou: 1.1511, d0.loss_cls: 2.0899, d0.loss_bbox: 0.8211, d0.loss_iou: 1.2096, d1.loss_cls: 2.0601, d1.loss_bbox: 0.8004, d1.loss_iou: 1.1882, d2.loss_cls: 2.0318, d2.loss_bbox: 0.7871, d2.loss_iou: 1.1687, d3.loss_cls: 2.0136, d3.loss_bbox: 0.7787, d3.loss_iou: 1.1597, d4.loss_cls: 2.0019, d4.loss_bbox: 0.7737, d4.loss_iou: 1.1536, loss: 23.9562, grad_norm: 16.6211 +2022-10-26 20:53:37,533 - mmdet - INFO - Epoch [18][1450/1849] lr: 2.000e-04, eta: 2:16:23, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9962, loss_bbox: 0.7709, loss_iou: 1.1429, d0.loss_cls: 2.0977, d0.loss_bbox: 0.8191, d0.loss_iou: 1.2006, d1.loss_cls: 2.0628, d1.loss_bbox: 0.8021, d1.loss_iou: 1.1790, d2.loss_cls: 2.0349, d2.loss_bbox: 0.7873, d2.loss_iou: 1.1600, d3.loss_cls: 2.0186, d3.loss_bbox: 0.7782, d3.loss_iou: 1.1503, d4.loss_cls: 2.0043, d4.loss_bbox: 0.7730, d4.loss_iou: 1.1454, loss: 23.9233, grad_norm: 13.7273 +2022-10-26 20:53:44,466 - mmdet - INFO - Epoch [18][1500/1849] lr: 2.000e-04, eta: 2:16:16, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 2.0043, loss_bbox: 0.7723, loss_iou: 1.1525, d0.loss_cls: 2.1007, d0.loss_bbox: 0.8199, d0.loss_iou: 1.2103, d1.loss_cls: 2.0692, d1.loss_bbox: 0.8020, d1.loss_iou: 1.1886, d2.loss_cls: 2.0386, d2.loss_bbox: 0.7867, d2.loss_iou: 1.1699, d3.loss_cls: 2.0207, d3.loss_bbox: 0.7788, d3.loss_iou: 1.1605, d4.loss_cls: 2.0103, d4.loss_bbox: 0.7742, d4.loss_iou: 1.1553, loss: 24.0147, grad_norm: 15.4561 +2022-10-26 20:53:51,496 - mmdet - INFO - Epoch [18][1550/1849] lr: 2.000e-04, eta: 2:16:09, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9920, loss_bbox: 0.7744, loss_iou: 1.1479, d0.loss_cls: 2.0951, d0.loss_bbox: 0.8240, d0.loss_iou: 1.2052, d1.loss_cls: 2.0602, d1.loss_bbox: 0.8052, d1.loss_iou: 1.1847, d2.loss_cls: 2.0324, d2.loss_bbox: 0.7911, d2.loss_iou: 1.1667, d3.loss_cls: 2.0155, d3.loss_bbox: 0.7822, d3.loss_iou: 1.1560, d4.loss_cls: 2.0000, d4.loss_bbox: 0.7767, d4.loss_iou: 1.1505, loss: 23.9596, grad_norm: 15.0187 +2022-10-26 20:53:58,537 - mmdet - INFO - Epoch [18][1600/1849] lr: 2.000e-04, eta: 2:16:03, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9849, loss_bbox: 0.7751, loss_iou: 1.1470, d0.loss_cls: 2.0843, d0.loss_bbox: 0.8249, d0.loss_iou: 1.2058, d1.loss_cls: 2.0523, d1.loss_bbox: 0.8064, d1.loss_iou: 1.1857, d2.loss_cls: 2.0243, d2.loss_bbox: 0.7917, d2.loss_iou: 1.1650, d3.loss_cls: 2.0061, d3.loss_bbox: 0.7811, d3.loss_iou: 1.1558, d4.loss_cls: 1.9911, d4.loss_bbox: 0.7769, d4.loss_iou: 1.1499, loss: 23.9084, grad_norm: 14.6425 +2022-10-26 20:54:05,730 - mmdet - INFO - Epoch [18][1650/1849] lr: 2.000e-04, eta: 2:15:57, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.9941, loss_bbox: 0.7748, loss_iou: 1.1483, d0.loss_cls: 2.0986, d0.loss_bbox: 0.8238, d0.loss_iou: 1.2065, d1.loss_cls: 2.0639, d1.loss_bbox: 0.8068, d1.loss_iou: 1.1861, d2.loss_cls: 2.0347, d2.loss_bbox: 0.7914, d2.loss_iou: 1.1648, d3.loss_cls: 2.0160, d3.loss_bbox: 0.7820, d3.loss_iou: 1.1563, d4.loss_cls: 2.0032, d4.loss_bbox: 0.7768, d4.loss_iou: 1.1501, loss: 23.9781, grad_norm: 13.5857 +2022-10-26 20:54:12,778 - mmdet - INFO - Epoch [18][1700/1849] lr: 2.000e-04, eta: 2:15:50, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9895, loss_bbox: 0.7708, loss_iou: 1.1485, d0.loss_cls: 2.0878, d0.loss_bbox: 0.8206, d0.loss_iou: 1.2073, d1.loss_cls: 2.0541, d1.loss_bbox: 0.8008, d1.loss_iou: 1.1867, d2.loss_cls: 2.0243, d2.loss_bbox: 0.7862, d2.loss_iou: 1.1675, d3.loss_cls: 2.0101, d3.loss_bbox: 0.7773, d3.loss_iou: 1.1569, d4.loss_cls: 1.9969, d4.loss_bbox: 0.7720, d4.loss_iou: 1.1510, loss: 23.9083, grad_norm: 14.0291 +2022-10-26 20:54:19,793 - mmdet - INFO - Epoch [18][1750/1849] lr: 2.000e-04, eta: 2:15:43, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9906, loss_bbox: 0.7670, loss_iou: 1.1421, d0.loss_cls: 2.0897, d0.loss_bbox: 0.8170, d0.loss_iou: 1.1988, d1.loss_cls: 2.0567, d1.loss_bbox: 0.7985, d1.loss_iou: 1.1784, d2.loss_cls: 2.0272, d2.loss_bbox: 0.7840, d2.loss_iou: 1.1583, d3.loss_cls: 2.0114, d3.loss_bbox: 0.7746, d3.loss_iou: 1.1497, d4.loss_cls: 1.9977, d4.loss_bbox: 0.7688, d4.loss_iou: 1.1446, loss: 23.8552, grad_norm: 14.2589 +2022-10-26 20:54:26,657 - mmdet - INFO - Epoch [18][1800/1849] lr: 2.000e-04, eta: 2:15:36, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 2.0070, loss_bbox: 0.7738, loss_iou: 1.1491, d0.loss_cls: 2.1056, d0.loss_bbox: 0.8214, d0.loss_iou: 1.2067, d1.loss_cls: 2.0716, d1.loss_bbox: 0.8019, d1.loss_iou: 1.1842, d2.loss_cls: 2.0418, d2.loss_bbox: 0.7878, d2.loss_iou: 1.1648, d3.loss_cls: 2.0236, d3.loss_bbox: 0.7797, d3.loss_iou: 1.1569, d4.loss_cls: 2.0155, d4.loss_bbox: 0.7751, d4.loss_iou: 1.1512, loss: 24.0178, grad_norm: 15.6625 +2022-10-26 20:54:33,682 - mmdet - INFO - Saving checkpoint at 18 epochs +2022-10-26 20:54:44,329 - mmdet - INFO - Epoch [19][50/1849] lr: 2.000e-04, eta: 2:15:16, time: 0.200, data_time: 0.064, memory: 4401, loss_cls: 1.9731, loss_bbox: 0.7731, loss_iou: 1.1519, d0.loss_cls: 2.0719, d0.loss_bbox: 0.8236, d0.loss_iou: 1.2104, d1.loss_cls: 2.0372, d1.loss_bbox: 0.8042, d1.loss_iou: 1.1892, d2.loss_cls: 2.0069, d2.loss_bbox: 0.7899, d2.loss_iou: 1.1698, d3.loss_cls: 1.9917, d3.loss_bbox: 0.7806, d3.loss_iou: 1.1601, d4.loss_cls: 1.9798, d4.loss_bbox: 0.7757, d4.loss_iou: 1.1542, loss: 23.8432, grad_norm: 15.0864 +2022-10-26 20:54:51,501 - mmdet - INFO - Epoch [19][100/1849] lr: 2.000e-04, eta: 2:15:10, time: 0.143, data_time: 0.006, memory: 4401, loss_cls: 1.9787, loss_bbox: 0.7691, loss_iou: 1.1482, d0.loss_cls: 2.0790, d0.loss_bbox: 0.8173, d0.loss_iou: 1.2065, d1.loss_cls: 2.0493, d1.loss_bbox: 0.7997, d1.loss_iou: 1.1854, d2.loss_cls: 2.0165, d2.loss_bbox: 0.7846, d2.loss_iou: 1.1653, d3.loss_cls: 1.9986, d3.loss_bbox: 0.7755, d3.loss_iou: 1.1560, d4.loss_cls: 1.9839, d4.loss_bbox: 0.7711, d4.loss_iou: 1.1506, loss: 23.8352, grad_norm: 14.4848 +2022-10-26 20:54:58,572 - mmdet - INFO - Epoch [19][150/1849] lr: 2.000e-04, eta: 2:15:04, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9768, loss_bbox: 0.7662, loss_iou: 1.1399, d0.loss_cls: 2.0726, d0.loss_bbox: 0.8153, d0.loss_iou: 1.1994, d1.loss_cls: 2.0421, d1.loss_bbox: 0.7967, d1.loss_iou: 1.1789, d2.loss_cls: 2.0134, d2.loss_bbox: 0.7823, d2.loss_iou: 1.1577, d3.loss_cls: 1.9958, d3.loss_bbox: 0.7728, d3.loss_iou: 1.1491, d4.loss_cls: 1.9840, d4.loss_bbox: 0.7678, d4.loss_iou: 1.1423, loss: 23.7532, grad_norm: 15.1686 +2022-10-26 20:55:05,705 - mmdet - INFO - Epoch [19][200/1849] lr: 2.000e-04, eta: 2:14:57, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9797, loss_bbox: 0.7710, loss_iou: 1.1444, d0.loss_cls: 2.0797, d0.loss_bbox: 0.8211, d0.loss_iou: 1.2031, d1.loss_cls: 2.0434, d1.loss_bbox: 0.8020, d1.loss_iou: 1.1814, d2.loss_cls: 2.0141, d2.loss_bbox: 0.7867, d2.loss_iou: 1.1622, d3.loss_cls: 1.9987, d3.loss_bbox: 0.7773, d3.loss_iou: 1.1527, d4.loss_cls: 1.9855, d4.loss_bbox: 0.7730, d4.loss_iou: 1.1473, loss: 23.8233, grad_norm: 15.2228 +2022-10-26 20:55:12,809 - mmdet - INFO - Epoch [19][250/1849] lr: 2.000e-04, eta: 2:14:51, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9715, loss_bbox: 0.7728, loss_iou: 1.1502, d0.loss_cls: 2.0752, d0.loss_bbox: 0.8219, d0.loss_iou: 1.2086, d1.loss_cls: 2.0433, d1.loss_bbox: 0.8040, d1.loss_iou: 1.1866, d2.loss_cls: 2.0092, d2.loss_bbox: 0.7885, d2.loss_iou: 1.1671, d3.loss_cls: 1.9913, d3.loss_bbox: 0.7787, d3.loss_iou: 1.1578, d4.loss_cls: 1.9773, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1532, loss: 23.8316, grad_norm: 15.1432 +2022-10-26 20:55:19,910 - mmdet - INFO - Epoch [19][300/1849] lr: 2.000e-04, eta: 2:14:44, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9919, loss_bbox: 0.7686, loss_iou: 1.1466, d0.loss_cls: 2.0912, d0.loss_bbox: 0.8183, d0.loss_iou: 1.2062, d1.loss_cls: 2.0601, d1.loss_bbox: 0.7991, d1.loss_iou: 1.1849, d2.loss_cls: 2.0299, d2.loss_bbox: 0.7850, d2.loss_iou: 1.1641, d3.loss_cls: 2.0129, d3.loss_bbox: 0.7756, d3.loss_iou: 1.1549, d4.loss_cls: 1.9995, d4.loss_bbox: 0.7701, d4.loss_iou: 1.1494, loss: 23.9085, grad_norm: 14.4246 +2022-10-26 20:55:26,991 - mmdet - INFO - Epoch [19][350/1849] lr: 2.000e-04, eta: 2:14:38, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9760, loss_bbox: 0.7725, loss_iou: 1.1478, d0.loss_cls: 2.0751, d0.loss_bbox: 0.8205, d0.loss_iou: 1.2047, d1.loss_cls: 2.0414, d1.loss_bbox: 0.8032, d1.loss_iou: 1.1837, d2.loss_cls: 2.0121, d2.loss_bbox: 0.7880, d2.loss_iou: 1.1653, d3.loss_cls: 1.9958, d3.loss_bbox: 0.7797, d3.loss_iou: 1.1562, d4.loss_cls: 1.9827, d4.loss_bbox: 0.7743, d4.loss_iou: 1.1503, loss: 23.8293, grad_norm: 15.0635 +2022-10-26 20:55:34,004 - mmdet - INFO - Epoch [19][400/1849] lr: 2.000e-04, eta: 2:14:31, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9889, loss_bbox: 0.7724, loss_iou: 1.1485, d0.loss_cls: 2.0877, d0.loss_bbox: 0.8215, d0.loss_iou: 1.2047, d1.loss_cls: 2.0592, d1.loss_bbox: 0.8033, d1.loss_iou: 1.1848, d2.loss_cls: 2.0276, d2.loss_bbox: 0.7889, d2.loss_iou: 1.1659, d3.loss_cls: 2.0113, d3.loss_bbox: 0.7791, d3.loss_iou: 1.1562, d4.loss_cls: 1.9976, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1506, loss: 23.9226, grad_norm: 14.8235 +2022-10-26 20:55:40,892 - mmdet - INFO - Epoch [19][450/1849] lr: 2.000e-04, eta: 2:14:24, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9879, loss_bbox: 0.7701, loss_iou: 1.1463, d0.loss_cls: 2.0892, d0.loss_bbox: 0.8180, d0.loss_iou: 1.2048, d1.loss_cls: 2.0534, d1.loss_bbox: 0.8001, d1.loss_iou: 1.1830, d2.loss_cls: 2.0238, d2.loss_bbox: 0.7857, d2.loss_iou: 1.1635, d3.loss_cls: 2.0068, d3.loss_bbox: 0.7777, d3.loss_iou: 1.1548, d4.loss_cls: 1.9940, d4.loss_bbox: 0.7720, d4.loss_iou: 1.1486, loss: 23.8795, grad_norm: 15.1740 +2022-10-26 20:55:47,870 - mmdet - INFO - Epoch [19][500/1849] lr: 2.000e-04, eta: 2:14:18, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9869, loss_bbox: 0.7692, loss_iou: 1.1426, d0.loss_cls: 2.0846, d0.loss_bbox: 0.8175, d0.loss_iou: 1.2001, d1.loss_cls: 2.0519, d1.loss_bbox: 0.7991, d1.loss_iou: 1.1796, d2.loss_cls: 2.0225, d2.loss_bbox: 0.7845, d2.loss_iou: 1.1602, d3.loss_cls: 2.0040, d3.loss_bbox: 0.7750, d3.loss_iou: 1.1502, d4.loss_cls: 1.9909, d4.loss_bbox: 0.7707, d4.loss_iou: 1.1447, loss: 23.8342, grad_norm: 14.6783 +2022-10-26 20:55:54,592 - mmdet - INFO - Epoch [19][550/1849] lr: 2.000e-04, eta: 2:14:11, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9883, loss_bbox: 0.7662, loss_iou: 1.1424, d0.loss_cls: 2.0886, d0.loss_bbox: 0.8162, d0.loss_iou: 1.2011, d1.loss_cls: 2.0568, d1.loss_bbox: 0.7980, d1.loss_iou: 1.1808, d2.loss_cls: 2.0274, d2.loss_bbox: 0.7820, d2.loss_iou: 1.1602, d3.loss_cls: 2.0103, d3.loss_bbox: 0.7727, d3.loss_iou: 1.1503, d4.loss_cls: 1.9959, d4.loss_bbox: 0.7682, d4.loss_iou: 1.1446, loss: 23.8500, grad_norm: 16.3243 +2022-10-26 20:56:01,536 - mmdet - INFO - Epoch [19][600/1849] lr: 2.000e-04, eta: 2:14:04, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9814, loss_bbox: 0.7702, loss_iou: 1.1461, d0.loss_cls: 2.0780, d0.loss_bbox: 0.8186, d0.loss_iou: 1.2041, d1.loss_cls: 2.0484, d1.loss_bbox: 0.7996, d1.loss_iou: 1.1838, d2.loss_cls: 2.0157, d2.loss_bbox: 0.7849, d2.loss_iou: 1.1632, d3.loss_cls: 1.9971, d3.loss_bbox: 0.7765, d3.loss_iou: 1.1542, d4.loss_cls: 1.9859, d4.loss_bbox: 0.7722, d4.loss_iou: 1.1492, loss: 23.8293, grad_norm: 15.1788 +2022-10-26 20:56:08,456 - mmdet - INFO - Epoch [19][650/1849] lr: 2.000e-04, eta: 2:13:57, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9832, loss_bbox: 0.7691, loss_iou: 1.1456, d0.loss_cls: 2.0849, d0.loss_bbox: 0.8187, d0.loss_iou: 1.2040, d1.loss_cls: 2.0530, d1.loss_bbox: 0.7994, d1.loss_iou: 1.1828, d2.loss_cls: 2.0218, d2.loss_bbox: 0.7857, d2.loss_iou: 1.1635, d3.loss_cls: 2.0043, d3.loss_bbox: 0.7764, d3.loss_iou: 1.1539, d4.loss_cls: 1.9899, d4.loss_bbox: 0.7717, d4.loss_iou: 1.1479, loss: 23.8558, grad_norm: 14.5945 +2022-10-26 20:56:15,320 - mmdet - INFO - Epoch [19][700/1849] lr: 2.000e-04, eta: 2:13:50, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9906, loss_bbox: 0.7670, loss_iou: 1.1417, d0.loss_cls: 2.0908, d0.loss_bbox: 0.8171, d0.loss_iou: 1.2020, d1.loss_cls: 2.0559, d1.loss_bbox: 0.7969, d1.loss_iou: 1.1794, d2.loss_cls: 2.0262, d2.loss_bbox: 0.7822, d2.loss_iou: 1.1604, d3.loss_cls: 2.0109, d3.loss_bbox: 0.7740, d3.loss_iou: 1.1504, d4.loss_cls: 1.9979, d4.loss_bbox: 0.7688, d4.loss_iou: 1.1446, loss: 23.8571, grad_norm: 16.4551 +2022-10-26 20:56:22,217 - mmdet - INFO - Epoch [19][750/1849] lr: 2.000e-04, eta: 2:13:43, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9705, loss_bbox: 0.7723, loss_iou: 1.1475, d0.loss_cls: 2.0767, d0.loss_bbox: 0.8214, d0.loss_iou: 1.2064, d1.loss_cls: 2.0407, d1.loss_bbox: 0.8024, d1.loss_iou: 1.1849, d2.loss_cls: 2.0123, d2.loss_bbox: 0.7887, d2.loss_iou: 1.1647, d3.loss_cls: 1.9921, d3.loss_bbox: 0.7795, d3.loss_iou: 1.1553, d4.loss_cls: 1.9793, d4.loss_bbox: 0.7744, d4.loss_iou: 1.1495, loss: 23.8186, grad_norm: 15.7834 +2022-10-26 20:56:29,272 - mmdet - INFO - Epoch [19][800/1849] lr: 2.000e-04, eta: 2:13:37, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9754, loss_bbox: 0.7690, loss_iou: 1.1425, d0.loss_cls: 2.0714, d0.loss_bbox: 0.8180, d0.loss_iou: 1.2003, d1.loss_cls: 2.0415, d1.loss_bbox: 0.8000, d1.loss_iou: 1.1791, d2.loss_cls: 2.0103, d2.loss_bbox: 0.7849, d2.loss_iou: 1.1594, d3.loss_cls: 1.9954, d3.loss_bbox: 0.7758, d3.loss_iou: 1.1504, d4.loss_cls: 1.9814, d4.loss_bbox: 0.7709, d4.loss_iou: 1.1448, loss: 23.7708, grad_norm: 15.3754 +2022-10-26 20:56:36,309 - mmdet - INFO - Epoch [19][850/1849] lr: 2.000e-04, eta: 2:13:30, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9876, loss_bbox: 0.7740, loss_iou: 1.1528, d0.loss_cls: 2.0888, d0.loss_bbox: 0.8218, d0.loss_iou: 1.2097, d1.loss_cls: 2.0553, d1.loss_bbox: 0.8036, d1.loss_iou: 1.1886, d2.loss_cls: 2.0255, d2.loss_bbox: 0.7894, d2.loss_iou: 1.1700, d3.loss_cls: 2.0080, d3.loss_bbox: 0.7808, d3.loss_iou: 1.1602, d4.loss_cls: 1.9935, d4.loss_bbox: 0.7759, d4.loss_iou: 1.1544, loss: 23.9402, grad_norm: 15.7414 +2022-10-26 20:56:43,085 - mmdet - INFO - Epoch [19][900/1849] lr: 2.000e-04, eta: 2:13:23, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9816, loss_bbox: 0.7710, loss_iou: 1.1420, d0.loss_cls: 2.0773, d0.loss_bbox: 0.8205, d0.loss_iou: 1.2000, d1.loss_cls: 2.0474, d1.loss_bbox: 0.8008, d1.loss_iou: 1.1772, d2.loss_cls: 2.0192, d2.loss_bbox: 0.7866, d2.loss_iou: 1.1593, d3.loss_cls: 2.0032, d3.loss_bbox: 0.7772, d3.loss_iou: 1.1504, d4.loss_cls: 1.9910, d4.loss_bbox: 0.7728, d4.loss_iou: 1.1445, loss: 23.8220, grad_norm: 15.8346 +2022-10-26 20:56:50,004 - mmdet - INFO - Epoch [19][950/1849] lr: 2.000e-04, eta: 2:13:16, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9926, loss_bbox: 0.7703, loss_iou: 1.1463, d0.loss_cls: 2.0916, d0.loss_bbox: 0.8203, d0.loss_iou: 1.2054, d1.loss_cls: 2.0566, d1.loss_bbox: 0.8031, d1.loss_iou: 1.1836, d2.loss_cls: 2.0280, d2.loss_bbox: 0.7872, d2.loss_iou: 1.1640, d3.loss_cls: 2.0117, d3.loss_bbox: 0.7777, d3.loss_iou: 1.1549, d4.loss_cls: 1.9979, d4.loss_bbox: 0.7722, d4.loss_iou: 1.1491, loss: 23.9123, grad_norm: 15.4861 +2022-10-26 20:56:57,062 - mmdet - INFO - Epoch [19][1000/1849] lr: 2.000e-04, eta: 2:13:10, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9816, loss_bbox: 0.7710, loss_iou: 1.1453, d0.loss_cls: 2.0837, d0.loss_bbox: 0.8210, d0.loss_iou: 1.2044, d1.loss_cls: 2.0508, d1.loss_bbox: 0.8019, d1.loss_iou: 1.1825, d2.loss_cls: 2.0183, d2.loss_bbox: 0.7867, d2.loss_iou: 1.1624, d3.loss_cls: 2.0001, d3.loss_bbox: 0.7779, d3.loss_iou: 1.1522, d4.loss_cls: 1.9875, d4.loss_bbox: 0.7730, d4.loss_iou: 1.1472, loss: 23.8474, grad_norm: 15.5380 +2022-10-26 20:57:04,086 - mmdet - INFO - Epoch [19][1050/1849] lr: 2.000e-04, eta: 2:13:03, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9635, loss_bbox: 0.7657, loss_iou: 1.1430, d0.loss_cls: 2.0615, d0.loss_bbox: 0.8150, d0.loss_iou: 1.2003, d1.loss_cls: 2.0308, d1.loss_bbox: 0.7959, d1.loss_iou: 1.1803, d2.loss_cls: 2.0003, d2.loss_bbox: 0.7812, d2.loss_iou: 1.1608, d3.loss_cls: 1.9842, d3.loss_bbox: 0.7729, d3.loss_iou: 1.1517, d4.loss_cls: 1.9695, d4.loss_bbox: 0.7674, d4.loss_iou: 1.1466, loss: 23.6907, grad_norm: 15.0767 +2022-10-26 20:57:11,134 - mmdet - INFO - Epoch [19][1100/1849] lr: 2.000e-04, eta: 2:12:57, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9844, loss_bbox: 0.7724, loss_iou: 1.1470, d0.loss_cls: 2.0810, d0.loss_bbox: 0.8205, d0.loss_iou: 1.2038, d1.loss_cls: 2.0489, d1.loss_bbox: 0.8031, d1.loss_iou: 1.1832, d2.loss_cls: 2.0190, d2.loss_bbox: 0.7879, d2.loss_iou: 1.1645, d3.loss_cls: 2.0034, d3.loss_bbox: 0.7784, d3.loss_iou: 1.1548, d4.loss_cls: 1.9904, d4.loss_bbox: 0.7745, d4.loss_iou: 1.1492, loss: 23.8664, grad_norm: 15.7145 +2022-10-26 20:57:18,004 - mmdet - INFO - Epoch [19][1150/1849] lr: 2.000e-04, eta: 2:12:50, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9846, loss_bbox: 0.7731, loss_iou: 1.1482, d0.loss_cls: 2.0795, d0.loss_bbox: 0.8211, d0.loss_iou: 1.2054, d1.loss_cls: 2.0487, d1.loss_bbox: 0.8045, d1.loss_iou: 1.1856, d2.loss_cls: 2.0229, d2.loss_bbox: 0.7887, d2.loss_iou: 1.1667, d3.loss_cls: 2.0059, d3.loss_bbox: 0.7800, d3.loss_iou: 1.1561, d4.loss_cls: 1.9937, d4.loss_bbox: 0.7748, d4.loss_iou: 1.1509, loss: 23.8903, grad_norm: 15.4637 +2022-10-26 20:57:25,014 - mmdet - INFO - Epoch [19][1200/1849] lr: 2.000e-04, eta: 2:12:43, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9759, loss_bbox: 0.7651, loss_iou: 1.1428, d0.loss_cls: 2.0757, d0.loss_bbox: 0.8148, d0.loss_iou: 1.2015, d1.loss_cls: 2.0422, d1.loss_bbox: 0.7969, d1.loss_iou: 1.1817, d2.loss_cls: 2.0108, d2.loss_bbox: 0.7818, d2.loss_iou: 1.1615, d3.loss_cls: 1.9941, d3.loss_bbox: 0.7719, d3.loss_iou: 1.1510, d4.loss_cls: 1.9824, d4.loss_bbox: 0.7672, d4.loss_iou: 1.1452, loss: 23.7626, grad_norm: 14.5094 +2022-10-26 20:57:31,997 - mmdet - INFO - Epoch [19][1250/1849] lr: 2.000e-04, eta: 2:12:37, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9931, loss_bbox: 0.7703, loss_iou: 1.1503, d0.loss_cls: 2.0910, d0.loss_bbox: 0.8200, d0.loss_iou: 1.2088, d1.loss_cls: 2.0574, d1.loss_bbox: 0.8008, d1.loss_iou: 1.1869, d2.loss_cls: 2.0259, d2.loss_bbox: 0.7859, d2.loss_iou: 1.1679, d3.loss_cls: 2.0112, d3.loss_bbox: 0.7770, d3.loss_iou: 1.1588, d4.loss_cls: 2.0004, d4.loss_bbox: 0.7718, d4.loss_iou: 1.1522, loss: 23.9297, grad_norm: 14.5076 +2022-10-26 20:57:38,900 - mmdet - INFO - Epoch [19][1300/1849] lr: 2.000e-04, eta: 2:12:30, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9789, loss_bbox: 0.7715, loss_iou: 1.1447, d0.loss_cls: 2.0769, d0.loss_bbox: 0.8219, d0.loss_iou: 1.2027, d1.loss_cls: 2.0457, d1.loss_bbox: 0.8019, d1.loss_iou: 1.1822, d2.loss_cls: 2.0147, d2.loss_bbox: 0.7878, d2.loss_iou: 1.1621, d3.loss_cls: 1.9993, d3.loss_bbox: 0.7779, d3.loss_iou: 1.1535, d4.loss_cls: 1.9862, d4.loss_bbox: 0.7737, d4.loss_iou: 1.1470, loss: 23.8288, grad_norm: 14.5867 +2022-10-26 20:57:45,677 - mmdet - INFO - Epoch [19][1350/1849] lr: 2.000e-04, eta: 2:12:23, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9791, loss_bbox: 0.7729, loss_iou: 1.1456, d0.loss_cls: 2.0762, d0.loss_bbox: 0.8222, d0.loss_iou: 1.2024, d1.loss_cls: 2.0458, d1.loss_bbox: 0.8030, d1.loss_iou: 1.1822, d2.loss_cls: 2.0152, d2.loss_bbox: 0.7880, d2.loss_iou: 1.1630, d3.loss_cls: 2.0000, d3.loss_bbox: 0.7795, d3.loss_iou: 1.1533, d4.loss_cls: 1.9876, d4.loss_bbox: 0.7749, d4.loss_iou: 1.1479, loss: 23.8389, grad_norm: 14.7496 +2022-10-26 20:57:52,578 - mmdet - INFO - Epoch [19][1400/1849] lr: 2.000e-04, eta: 2:12:16, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9922, loss_bbox: 0.7715, loss_iou: 1.1507, d0.loss_cls: 2.0883, d0.loss_bbox: 0.8207, d0.loss_iou: 1.2104, d1.loss_cls: 2.0573, d1.loss_bbox: 0.8022, d1.loss_iou: 1.1878, d2.loss_cls: 2.0270, d2.loss_bbox: 0.7873, d2.loss_iou: 1.1676, d3.loss_cls: 2.0114, d3.loss_bbox: 0.7793, d3.loss_iou: 1.1579, d4.loss_cls: 1.9986, d4.loss_bbox: 0.7735, d4.loss_iou: 1.1530, loss: 23.9368, grad_norm: 15.8101 +2022-10-26 20:57:59,564 - mmdet - INFO - Epoch [19][1450/1849] lr: 2.000e-04, eta: 2:12:09, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9943, loss_bbox: 0.7707, loss_iou: 1.1417, d0.loss_cls: 2.0887, d0.loss_bbox: 0.8206, d0.loss_iou: 1.1997, d1.loss_cls: 2.0591, d1.loss_bbox: 0.8017, d1.loss_iou: 1.1784, d2.loss_cls: 2.0271, d2.loss_bbox: 0.7866, d2.loss_iou: 1.1597, d3.loss_cls: 2.0120, d3.loss_bbox: 0.7779, d3.loss_iou: 1.1503, d4.loss_cls: 2.0009, d4.loss_bbox: 0.7724, d4.loss_iou: 1.1442, loss: 23.8859, grad_norm: 14.2085 +2022-10-26 20:58:06,660 - mmdet - INFO - Epoch [19][1500/1849] lr: 2.000e-04, eta: 2:12:03, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9932, loss_bbox: 0.7688, loss_iou: 1.1466, d0.loss_cls: 2.0921, d0.loss_bbox: 0.8181, d0.loss_iou: 1.2055, d1.loss_cls: 2.0588, d1.loss_bbox: 0.7998, d1.loss_iou: 1.1855, d2.loss_cls: 2.0276, d2.loss_bbox: 0.7851, d2.loss_iou: 1.1652, d3.loss_cls: 2.0112, d3.loss_bbox: 0.7759, d3.loss_iou: 1.1542, d4.loss_cls: 1.9986, d4.loss_bbox: 0.7708, d4.loss_iou: 1.1489, loss: 23.9059, grad_norm: 14.8118 +2022-10-26 20:58:13,448 - mmdet - INFO - Epoch [19][1550/1849] lr: 2.000e-04, eta: 2:11:56, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9918, loss_bbox: 0.7686, loss_iou: 1.1412, d0.loss_cls: 2.0945, d0.loss_bbox: 0.8162, d0.loss_iou: 1.2000, d1.loss_cls: 2.0592, d1.loss_bbox: 0.7994, d1.loss_iou: 1.1797, d2.loss_cls: 2.0306, d2.loss_bbox: 0.7843, d2.loss_iou: 1.1605, d3.loss_cls: 2.0126, d3.loss_bbox: 0.7749, d3.loss_iou: 1.1501, d4.loss_cls: 1.9999, d4.loss_bbox: 0.7702, d4.loss_iou: 1.1438, loss: 23.8773, grad_norm: 15.0452 +2022-10-26 20:58:20,313 - mmdet - INFO - Epoch [19][1600/1849] lr: 2.000e-04, eta: 2:11:49, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9841, loss_bbox: 0.7614, loss_iou: 1.1381, d0.loss_cls: 2.0826, d0.loss_bbox: 0.8137, d0.loss_iou: 1.1982, d1.loss_cls: 2.0507, d1.loss_bbox: 0.7936, d1.loss_iou: 1.1757, d2.loss_cls: 2.0207, d2.loss_bbox: 0.7784, d2.loss_iou: 1.1562, d3.loss_cls: 2.0030, d3.loss_bbox: 0.7689, d3.loss_iou: 1.1466, d4.loss_cls: 1.9913, d4.loss_bbox: 0.7629, d4.loss_iou: 1.1405, loss: 23.7668, grad_norm: 15.6429 +2022-10-26 20:58:27,058 - mmdet - INFO - Epoch [19][1650/1849] lr: 2.000e-04, eta: 2:11:42, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9881, loss_bbox: 0.7786, loss_iou: 1.1491, d0.loss_cls: 2.0870, d0.loss_bbox: 0.8266, d0.loss_iou: 1.2071, d1.loss_cls: 2.0541, d1.loss_bbox: 0.8095, d1.loss_iou: 1.1877, d2.loss_cls: 2.0234, d2.loss_bbox: 0.7946, d2.loss_iou: 1.1676, d3.loss_cls: 2.0063, d3.loss_bbox: 0.7855, d3.loss_iou: 1.1578, d4.loss_cls: 1.9957, d4.loss_bbox: 0.7801, d4.loss_iou: 1.1522, loss: 23.9511, grad_norm: 16.9480 +2022-10-26 20:58:34,046 - mmdet - INFO - Epoch [19][1700/1849] lr: 2.000e-04, eta: 2:11:35, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9698, loss_bbox: 0.7698, loss_iou: 1.1408, d0.loss_cls: 2.0670, d0.loss_bbox: 0.8188, d0.loss_iou: 1.2006, d1.loss_cls: 2.0363, d1.loss_bbox: 0.8014, d1.loss_iou: 1.1790, d2.loss_cls: 2.0073, d2.loss_bbox: 0.7860, d2.loss_iou: 1.1587, d3.loss_cls: 1.9879, d3.loss_bbox: 0.7771, d3.loss_iou: 1.1495, d4.loss_cls: 1.9781, d4.loss_bbox: 0.7716, d4.loss_iou: 1.1430, loss: 23.7428, grad_norm: 15.7705 +2022-10-26 20:58:41,197 - mmdet - INFO - Epoch [19][1750/1849] lr: 2.000e-04, eta: 2:11:29, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9908, loss_bbox: 0.7702, loss_iou: 1.1424, d0.loss_cls: 2.0851, d0.loss_bbox: 0.8190, d0.loss_iou: 1.2006, d1.loss_cls: 2.0578, d1.loss_bbox: 0.8009, d1.loss_iou: 1.1802, d2.loss_cls: 2.0292, d2.loss_bbox: 0.7866, d2.loss_iou: 1.1595, d3.loss_cls: 2.0141, d3.loss_bbox: 0.7776, d3.loss_iou: 1.1508, d4.loss_cls: 1.9990, d4.loss_bbox: 0.7722, d4.loss_iou: 1.1444, loss: 23.8804, grad_norm: 14.1256 +2022-10-26 20:58:48,083 - mmdet - INFO - Epoch [19][1800/1849] lr: 2.000e-04, eta: 2:11:22, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9968, loss_bbox: 0.7677, loss_iou: 1.1427, d0.loss_cls: 2.0952, d0.loss_bbox: 0.8174, d0.loss_iou: 1.2014, d1.loss_cls: 2.0618, d1.loss_bbox: 0.7991, d1.loss_iou: 1.1815, d2.loss_cls: 2.0312, d2.loss_bbox: 0.7842, d2.loss_iou: 1.1617, d3.loss_cls: 2.0166, d3.loss_bbox: 0.7744, d3.loss_iou: 1.1514, d4.loss_cls: 2.0054, d4.loss_bbox: 0.7697, d4.loss_iou: 1.1453, loss: 23.9038, grad_norm: 15.3187 +2022-10-26 20:58:55,030 - mmdet - INFO - Saving checkpoint at 19 epochs +2022-10-26 20:59:05,602 - mmdet - INFO - Epoch [20][50/1849] lr: 2.000e-04, eta: 2:11:02, time: 0.199, data_time: 0.064, memory: 4401, loss_cls: 1.9656, loss_bbox: 0.7695, loss_iou: 1.1463, d0.loss_cls: 2.0693, d0.loss_bbox: 0.8189, d0.loss_iou: 1.2039, d1.loss_cls: 2.0334, d1.loss_bbox: 0.8006, d1.loss_iou: 1.1832, d2.loss_cls: 2.0028, d2.loss_bbox: 0.7853, d2.loss_iou: 1.1637, d3.loss_cls: 1.9867, d3.loss_bbox: 0.7763, d3.loss_iou: 1.1544, d4.loss_cls: 1.9739, d4.loss_bbox: 0.7714, d4.loss_iou: 1.1484, loss: 23.7537, grad_norm: 17.7138 +2022-10-26 20:59:12,639 - mmdet - INFO - Epoch [20][100/1849] lr: 2.000e-04, eta: 2:10:56, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9701, loss_bbox: 0.7721, loss_iou: 1.1471, d0.loss_cls: 2.0724, d0.loss_bbox: 0.8208, d0.loss_iou: 1.2058, d1.loss_cls: 2.0394, d1.loss_bbox: 0.8029, d1.loss_iou: 1.1849, d2.loss_cls: 2.0091, d2.loss_bbox: 0.7882, d2.loss_iou: 1.1656, d3.loss_cls: 1.9908, d3.loss_bbox: 0.7795, d3.loss_iou: 1.1563, d4.loss_cls: 1.9770, d4.loss_bbox: 0.7741, d4.loss_iou: 1.1507, loss: 23.8069, grad_norm: 15.7710 +2022-10-26 20:59:19,488 - mmdet - INFO - Epoch [20][150/1849] lr: 2.000e-04, eta: 2:10:49, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9868, loss_bbox: 0.7677, loss_iou: 1.1412, d0.loss_cls: 2.0927, d0.loss_bbox: 0.8168, d0.loss_iou: 1.1996, d1.loss_cls: 2.0553, d1.loss_bbox: 0.7982, d1.loss_iou: 1.1793, d2.loss_cls: 2.0285, d2.loss_bbox: 0.7839, d2.loss_iou: 1.1586, d3.loss_cls: 2.0098, d3.loss_bbox: 0.7751, d3.loss_iou: 1.1495, d4.loss_cls: 1.9952, d4.loss_bbox: 0.7697, d4.loss_iou: 1.1430, loss: 23.8508, grad_norm: 14.0689 +2022-10-26 20:59:26,347 - mmdet - INFO - Epoch [20][200/1849] lr: 2.000e-04, eta: 2:10:42, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9851, loss_bbox: 0.7720, loss_iou: 1.1451, d0.loss_cls: 2.0836, d0.loss_bbox: 0.8211, d0.loss_iou: 1.2024, d1.loss_cls: 2.0543, d1.loss_bbox: 0.8030, d1.loss_iou: 1.1816, d2.loss_cls: 2.0259, d2.loss_bbox: 0.7894, d2.loss_iou: 1.1632, d3.loss_cls: 2.0063, d3.loss_bbox: 0.7797, d3.loss_iou: 1.1526, d4.loss_cls: 1.9932, d4.loss_bbox: 0.7740, d4.loss_iou: 1.1474, loss: 23.8798, grad_norm: 14.4618 +2022-10-26 20:59:33,438 - mmdet - INFO - Epoch [20][250/1849] lr: 2.000e-04, eta: 2:10:35, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9754, loss_bbox: 0.7674, loss_iou: 1.1440, d0.loss_cls: 2.0748, d0.loss_bbox: 0.8155, d0.loss_iou: 1.2008, d1.loss_cls: 2.0408, d1.loss_bbox: 0.7973, d1.loss_iou: 1.1803, d2.loss_cls: 2.0108, d2.loss_bbox: 0.7829, d2.loss_iou: 1.1609, d3.loss_cls: 1.9940, d3.loss_bbox: 0.7746, d3.loss_iou: 1.1520, d4.loss_cls: 1.9821, d4.loss_bbox: 0.7693, d4.loss_iou: 1.1463, loss: 23.7691, grad_norm: 15.2338 +2022-10-26 20:59:40,382 - mmdet - INFO - Epoch [20][300/1849] lr: 2.000e-04, eta: 2:10:29, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9715, loss_bbox: 0.7687, loss_iou: 1.1400, d0.loss_cls: 2.0711, d0.loss_bbox: 0.8187, d0.loss_iou: 1.2001, d1.loss_cls: 2.0398, d1.loss_bbox: 0.8005, d1.loss_iou: 1.1786, d2.loss_cls: 2.0087, d2.loss_bbox: 0.7857, d2.loss_iou: 1.1593, d3.loss_cls: 1.9927, d3.loss_bbox: 0.7760, d3.loss_iou: 1.1492, d4.loss_cls: 1.9785, d4.loss_bbox: 0.7708, d4.loss_iou: 1.1426, loss: 23.7524, grad_norm: 15.7012 +2022-10-26 20:59:47,335 - mmdet - INFO - Epoch [20][350/1849] lr: 2.000e-04, eta: 2:10:22, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9732, loss_bbox: 0.7670, loss_iou: 1.1434, d0.loss_cls: 2.0709, d0.loss_bbox: 0.8166, d0.loss_iou: 1.2044, d1.loss_cls: 2.0419, d1.loss_bbox: 0.7978, d1.loss_iou: 1.1831, d2.loss_cls: 2.0085, d2.loss_bbox: 0.7836, d2.loss_iou: 1.1629, d3.loss_cls: 1.9933, d3.loss_bbox: 0.7745, d3.loss_iou: 1.1515, d4.loss_cls: 1.9801, d4.loss_bbox: 0.7687, d4.loss_iou: 1.1464, loss: 23.7679, grad_norm: 14.5556 +2022-10-26 20:59:54,425 - mmdet - INFO - Epoch [20][400/1849] lr: 2.000e-04, eta: 2:10:16, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9664, loss_bbox: 0.7698, loss_iou: 1.1442, d0.loss_cls: 2.0673, d0.loss_bbox: 0.8201, d0.loss_iou: 1.2019, d1.loss_cls: 2.0322, d1.loss_bbox: 0.8026, d1.loss_iou: 1.1808, d2.loss_cls: 2.0027, d2.loss_bbox: 0.7865, d2.loss_iou: 1.1610, d3.loss_cls: 1.9840, d3.loss_bbox: 0.7768, d3.loss_iou: 1.1516, d4.loss_cls: 1.9718, d4.loss_bbox: 0.7717, d4.loss_iou: 1.1464, loss: 23.7378, grad_norm: 15.6047 +2022-10-26 21:00:01,112 - mmdet - INFO - Epoch [20][450/1849] lr: 2.000e-04, eta: 2:10:08, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9709, loss_bbox: 0.7705, loss_iou: 1.1469, d0.loss_cls: 2.0693, d0.loss_bbox: 0.8203, d0.loss_iou: 1.2055, d1.loss_cls: 2.0371, d1.loss_bbox: 0.8018, d1.loss_iou: 1.1852, d2.loss_cls: 2.0084, d2.loss_bbox: 0.7875, d2.loss_iou: 1.1653, d3.loss_cls: 1.9909, d3.loss_bbox: 0.7772, d3.loss_iou: 1.1553, d4.loss_cls: 1.9766, d4.loss_bbox: 0.7724, d4.loss_iou: 1.1494, loss: 23.7906, grad_norm: 15.6570 +2022-10-26 21:00:08,138 - mmdet - INFO - Epoch [20][500/1849] lr: 2.000e-04, eta: 2:10:02, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9829, loss_bbox: 0.7691, loss_iou: 1.1452, d0.loss_cls: 2.0833, d0.loss_bbox: 0.8193, d0.loss_iou: 1.2036, d1.loss_cls: 2.0525, d1.loss_bbox: 0.8001, d1.loss_iou: 1.1820, d2.loss_cls: 2.0180, d2.loss_bbox: 0.7858, d2.loss_iou: 1.1628, d3.loss_cls: 2.0018, d3.loss_bbox: 0.7764, d3.loss_iou: 1.1535, d4.loss_cls: 1.9906, d4.loss_bbox: 0.7715, d4.loss_iou: 1.1481, loss: 23.8466, grad_norm: 14.9558 +2022-10-26 21:00:14,931 - mmdet - INFO - Epoch [20][550/1849] lr: 2.000e-04, eta: 2:09:55, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9720, loss_bbox: 0.7686, loss_iou: 1.1434, d0.loss_cls: 2.0715, d0.loss_bbox: 0.8176, d0.loss_iou: 1.2034, d1.loss_cls: 2.0380, d1.loss_bbox: 0.7993, d1.loss_iou: 1.1816, d2.loss_cls: 2.0090, d2.loss_bbox: 0.7844, d2.loss_iou: 1.1622, d3.loss_cls: 1.9912, d3.loss_bbox: 0.7752, d3.loss_iou: 1.1516, d4.loss_cls: 1.9792, d4.loss_bbox: 0.7702, d4.loss_iou: 1.1461, loss: 23.7646, grad_norm: 15.5554 +2022-10-26 21:00:21,909 - mmdet - INFO - Epoch [20][600/1849] lr: 2.000e-04, eta: 2:09:48, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9804, loss_bbox: 0.7639, loss_iou: 1.1392, d0.loss_cls: 2.0804, d0.loss_bbox: 0.8152, d0.loss_iou: 1.2001, d1.loss_cls: 2.0464, d1.loss_bbox: 0.7963, d1.loss_iou: 1.1769, d2.loss_cls: 2.0176, d2.loss_bbox: 0.7802, d2.loss_iou: 1.1574, d3.loss_cls: 2.0008, d3.loss_bbox: 0.7713, d3.loss_iou: 1.1478, d4.loss_cls: 1.9866, d4.loss_bbox: 0.7658, d4.loss_iou: 1.1420, loss: 23.7685, grad_norm: 14.8330 +2022-10-26 21:00:28,856 - mmdet - INFO - Epoch [20][650/1849] lr: 2.000e-04, eta: 2:09:41, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9616, loss_bbox: 0.7648, loss_iou: 1.1365, d0.loss_cls: 2.0615, d0.loss_bbox: 0.8147, d0.loss_iou: 1.1943, d1.loss_cls: 2.0288, d1.loss_bbox: 0.7965, d1.loss_iou: 1.1740, d2.loss_cls: 1.9995, d2.loss_bbox: 0.7803, d2.loss_iou: 1.1546, d3.loss_cls: 1.9813, d3.loss_bbox: 0.7719, d3.loss_iou: 1.1447, d4.loss_cls: 1.9677, d4.loss_bbox: 0.7670, d4.loss_iou: 1.1389, loss: 23.6389, grad_norm: 15.0845 +2022-10-26 21:00:35,673 - mmdet - INFO - Epoch [20][700/1849] lr: 2.000e-04, eta: 2:09:34, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9603, loss_bbox: 0.7691, loss_iou: 1.1424, d0.loss_cls: 2.0627, d0.loss_bbox: 0.8177, d0.loss_iou: 1.2025, d1.loss_cls: 2.0287, d1.loss_bbox: 0.7989, d1.loss_iou: 1.1811, d2.loss_cls: 1.9984, d2.loss_bbox: 0.7835, d2.loss_iou: 1.1601, d3.loss_cls: 1.9807, d3.loss_bbox: 0.7752, d3.loss_iou: 1.1505, d4.loss_cls: 1.9676, d4.loss_bbox: 0.7703, d4.loss_iou: 1.1453, loss: 23.6952, grad_norm: 14.9403 +2022-10-26 21:00:42,519 - mmdet - INFO - Epoch [20][750/1849] lr: 2.000e-04, eta: 2:09:27, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9922, loss_bbox: 0.7692, loss_iou: 1.1457, d0.loss_cls: 2.0920, d0.loss_bbox: 0.8186, d0.loss_iou: 1.2051, d1.loss_cls: 2.0608, d1.loss_bbox: 0.8008, d1.loss_iou: 1.1828, d2.loss_cls: 2.0305, d2.loss_bbox: 0.7857, d2.loss_iou: 1.1641, d3.loss_cls: 2.0119, d3.loss_bbox: 0.7764, d3.loss_iou: 1.1542, d4.loss_cls: 1.9980, d4.loss_bbox: 0.7714, d4.loss_iou: 1.1487, loss: 23.9082, grad_norm: 13.9514 +2022-10-26 21:00:49,429 - mmdet - INFO - Epoch [20][800/1849] lr: 2.000e-04, eta: 2:09:21, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9818, loss_bbox: 0.7653, loss_iou: 1.1432, d0.loss_cls: 2.0837, d0.loss_bbox: 0.8147, d0.loss_iou: 1.2019, d1.loss_cls: 2.0501, d1.loss_bbox: 0.7964, d1.loss_iou: 1.1800, d2.loss_cls: 2.0204, d2.loss_bbox: 0.7813, d2.loss_iou: 1.1610, d3.loss_cls: 2.0041, d3.loss_bbox: 0.7724, d3.loss_iou: 1.1507, d4.loss_cls: 1.9903, d4.loss_bbox: 0.7675, d4.loss_iou: 1.1449, loss: 23.8097, grad_norm: 14.8064 +2022-10-26 21:00:56,347 - mmdet - INFO - Epoch [20][850/1849] lr: 2.000e-04, eta: 2:09:14, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9790, loss_bbox: 0.7650, loss_iou: 1.1419, d0.loss_cls: 2.0813, d0.loss_bbox: 0.8154, d0.loss_iou: 1.2018, d1.loss_cls: 2.0479, d1.loss_bbox: 0.7970, d1.loss_iou: 1.1797, d2.loss_cls: 2.0170, d2.loss_bbox: 0.7809, d2.loss_iou: 1.1597, d3.loss_cls: 1.9979, d3.loss_bbox: 0.7721, d3.loss_iou: 1.1503, d4.loss_cls: 1.9837, d4.loss_bbox: 0.7672, d4.loss_iou: 1.1442, loss: 23.7820, grad_norm: 14.7062 +2022-10-26 21:01:03,410 - mmdet - INFO - Epoch [20][900/1849] lr: 2.000e-04, eta: 2:09:07, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9599, loss_bbox: 0.7635, loss_iou: 1.1404, d0.loss_cls: 2.0613, d0.loss_bbox: 0.8133, d0.loss_iou: 1.2007, d1.loss_cls: 2.0292, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1785, d2.loss_cls: 2.0002, d2.loss_bbox: 0.7799, d2.loss_iou: 1.1581, d3.loss_cls: 1.9817, d3.loss_bbox: 0.7708, d3.loss_iou: 1.1486, d4.loss_cls: 1.9668, d4.loss_bbox: 0.7656, d4.loss_iou: 1.1433, loss: 23.6568, grad_norm: 14.8302 +2022-10-26 21:01:10,014 - mmdet - INFO - Epoch [20][950/1849] lr: 2.000e-04, eta: 2:09:00, time: 0.132, data_time: 0.005, memory: 4401, loss_cls: 1.9758, loss_bbox: 0.7690, loss_iou: 1.1366, d0.loss_cls: 2.0762, d0.loss_bbox: 0.8199, d0.loss_iou: 1.1965, d1.loss_cls: 2.0395, d1.loss_bbox: 0.7995, d1.loss_iou: 1.1759, d2.loss_cls: 2.0107, d2.loss_bbox: 0.7852, d2.loss_iou: 1.1554, d3.loss_cls: 1.9933, d3.loss_bbox: 0.7755, d3.loss_iou: 1.1461, d4.loss_cls: 1.9813, d4.loss_bbox: 0.7705, d4.loss_iou: 1.1399, loss: 23.7468, grad_norm: 14.5652 +2022-10-26 21:01:16,864 - mmdet - INFO - Epoch [20][1000/1849] lr: 2.000e-04, eta: 2:08:53, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9700, loss_bbox: 0.7668, loss_iou: 1.1428, d0.loss_cls: 2.0674, d0.loss_bbox: 0.8165, d0.loss_iou: 1.2016, d1.loss_cls: 2.0382, d1.loss_bbox: 0.7983, d1.loss_iou: 1.1808, d2.loss_cls: 2.0077, d2.loss_bbox: 0.7832, d2.loss_iou: 1.1619, d3.loss_cls: 1.9900, d3.loss_bbox: 0.7742, d3.loss_iou: 1.1512, d4.loss_cls: 1.9758, d4.loss_bbox: 0.7689, d4.loss_iou: 1.1456, loss: 23.7410, grad_norm: 15.9148 +2022-10-26 21:01:23,457 - mmdet - INFO - Epoch [20][1050/1849] lr: 2.000e-04, eta: 2:08:46, time: 0.132, data_time: 0.005, memory: 4401, loss_cls: 1.9773, loss_bbox: 0.7667, loss_iou: 1.1421, d0.loss_cls: 2.0822, d0.loss_bbox: 0.8176, d0.loss_iou: 1.2018, d1.loss_cls: 2.0476, d1.loss_bbox: 0.7993, d1.loss_iou: 1.1815, d2.loss_cls: 2.0177, d2.loss_bbox: 0.7845, d2.loss_iou: 1.1610, d3.loss_cls: 1.9997, d3.loss_bbox: 0.7741, d3.loss_iou: 1.1511, d4.loss_cls: 1.9852, d4.loss_bbox: 0.7689, d4.loss_iou: 1.1451, loss: 23.8035, grad_norm: 15.5786 +2022-10-26 21:01:30,279 - mmdet - INFO - Epoch [20][1100/1849] lr: 2.000e-04, eta: 2:08:39, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9692, loss_bbox: 0.7712, loss_iou: 1.1461, d0.loss_cls: 2.0675, d0.loss_bbox: 0.8214, d0.loss_iou: 1.2048, d1.loss_cls: 2.0354, d1.loss_bbox: 0.8020, d1.loss_iou: 1.1827, d2.loss_cls: 2.0073, d2.loss_bbox: 0.7870, d2.loss_iou: 1.1641, d3.loss_cls: 1.9912, d3.loss_bbox: 0.7774, d3.loss_iou: 1.1543, d4.loss_cls: 1.9754, d4.loss_bbox: 0.7728, d4.loss_iou: 1.1487, loss: 23.7785, grad_norm: 14.5667 +2022-10-26 21:01:37,479 - mmdet - INFO - Epoch [20][1150/1849] lr: 2.000e-04, eta: 2:08:33, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9678, loss_bbox: 0.7712, loss_iou: 1.1469, d0.loss_cls: 2.0689, d0.loss_bbox: 0.8231, d0.loss_iou: 1.2065, d1.loss_cls: 2.0339, d1.loss_bbox: 0.8021, d1.loss_iou: 1.1845, d2.loss_cls: 2.0039, d2.loss_bbox: 0.7873, d2.loss_iou: 1.1646, d3.loss_cls: 1.9852, d3.loss_bbox: 0.7783, d3.loss_iou: 1.1553, d4.loss_cls: 1.9730, d4.loss_bbox: 0.7734, d4.loss_iou: 1.1492, loss: 23.7751, grad_norm: 15.1474 +2022-10-26 21:01:44,367 - mmdet - INFO - Epoch [20][1200/1849] lr: 2.000e-04, eta: 2:08:26, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9861, loss_bbox: 0.7685, loss_iou: 1.1465, d0.loss_cls: 2.0849, d0.loss_bbox: 0.8179, d0.loss_iou: 1.2038, d1.loss_cls: 2.0511, d1.loss_bbox: 0.8012, d1.loss_iou: 1.1845, d2.loss_cls: 2.0223, d2.loss_bbox: 0.7854, d2.loss_iou: 1.1641, d3.loss_cls: 2.0041, d3.loss_bbox: 0.7767, d3.loss_iou: 1.1553, d4.loss_cls: 1.9923, d4.loss_bbox: 0.7706, d4.loss_iou: 1.1499, loss: 23.8652, grad_norm: 14.1536 +2022-10-26 21:01:51,317 - mmdet - INFO - Epoch [20][1250/1849] lr: 2.000e-04, eta: 2:08:19, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9854, loss_bbox: 0.7673, loss_iou: 1.1459, d0.loss_cls: 2.0851, d0.loss_bbox: 0.8164, d0.loss_iou: 1.2047, d1.loss_cls: 2.0520, d1.loss_bbox: 0.7988, d1.loss_iou: 1.1836, d2.loss_cls: 2.0205, d2.loss_bbox: 0.7841, d2.loss_iou: 1.1639, d3.loss_cls: 2.0060, d3.loss_bbox: 0.7741, d3.loss_iou: 1.1531, d4.loss_cls: 1.9938, d4.loss_bbox: 0.7688, d4.loss_iou: 1.1480, loss: 23.8514, grad_norm: 13.6165 +2022-10-26 21:01:58,100 - mmdet - INFO - Epoch [20][1300/1849] lr: 2.000e-04, eta: 2:08:12, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9845, loss_bbox: 0.7723, loss_iou: 1.1430, d0.loss_cls: 2.0796, d0.loss_bbox: 0.8210, d0.loss_iou: 1.2001, d1.loss_cls: 2.0487, d1.loss_bbox: 0.8022, d1.loss_iou: 1.1797, d2.loss_cls: 2.0182, d2.loss_bbox: 0.7880, d2.loss_iou: 1.1605, d3.loss_cls: 2.0015, d3.loss_bbox: 0.7789, d3.loss_iou: 1.1511, d4.loss_cls: 1.9886, d4.loss_bbox: 0.7743, d4.loss_iou: 1.1453, loss: 23.8375, grad_norm: 13.7530 +2022-10-26 21:02:05,346 - mmdet - INFO - Epoch [20][1350/1849] lr: 2.000e-04, eta: 2:08:06, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9831, loss_bbox: 0.7683, loss_iou: 1.1462, d0.loss_cls: 2.0768, d0.loss_bbox: 0.8186, d0.loss_iou: 1.2046, d1.loss_cls: 2.0482, d1.loss_bbox: 0.8003, d1.loss_iou: 1.1831, d2.loss_cls: 2.0203, d2.loss_bbox: 0.7841, d2.loss_iou: 1.1634, d3.loss_cls: 2.0022, d3.loss_bbox: 0.7749, d3.loss_iou: 1.1546, d4.loss_cls: 1.9880, d4.loss_bbox: 0.7705, d4.loss_iou: 1.1483, loss: 23.8356, grad_norm: 14.9385 +2022-10-26 21:02:12,478 - mmdet - INFO - Epoch [20][1400/1849] lr: 2.000e-04, eta: 2:07:59, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 2.0041, loss_bbox: 0.7727, loss_iou: 1.1504, d0.loss_cls: 2.1046, d0.loss_bbox: 0.8220, d0.loss_iou: 1.2098, d1.loss_cls: 2.0718, d1.loss_bbox: 0.8036, d1.loss_iou: 1.1885, d2.loss_cls: 2.0431, d2.loss_bbox: 0.7891, d2.loss_iou: 1.1687, d3.loss_cls: 2.0250, d3.loss_bbox: 0.7801, d3.loss_iou: 1.1589, d4.loss_cls: 2.0114, d4.loss_bbox: 0.7746, d4.loss_iou: 1.1530, loss: 24.0314, grad_norm: 14.7343 +2022-10-26 21:02:19,449 - mmdet - INFO - Epoch [20][1450/1849] lr: 2.000e-04, eta: 2:07:53, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9818, loss_bbox: 0.7665, loss_iou: 1.1419, d0.loss_cls: 2.0801, d0.loss_bbox: 0.8181, d0.loss_iou: 1.2021, d1.loss_cls: 2.0505, d1.loss_bbox: 0.7977, d1.loss_iou: 1.1796, d2.loss_cls: 2.0192, d2.loss_bbox: 0.7824, d2.loss_iou: 1.1596, d3.loss_cls: 1.9988, d3.loss_bbox: 0.7736, d3.loss_iou: 1.1501, d4.loss_cls: 1.9874, d4.loss_bbox: 0.7686, d4.loss_iou: 1.1444, loss: 23.8023, grad_norm: 14.5615 +2022-10-26 21:02:26,364 - mmdet - INFO - Epoch [20][1500/1849] lr: 2.000e-04, eta: 2:07:46, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9822, loss_bbox: 0.7647, loss_iou: 1.1409, d0.loss_cls: 2.0815, d0.loss_bbox: 0.8157, d0.loss_iou: 1.2001, d1.loss_cls: 2.0485, d1.loss_bbox: 0.7979, d1.loss_iou: 1.1788, d2.loss_cls: 2.0171, d2.loss_bbox: 0.7812, d2.loss_iou: 1.1588, d3.loss_cls: 2.0015, d3.loss_bbox: 0.7723, d3.loss_iou: 1.1482, d4.loss_cls: 1.9889, d4.loss_bbox: 0.7667, d4.loss_iou: 1.1433, loss: 23.7883, grad_norm: 15.8928 +2022-10-26 21:02:33,261 - mmdet - INFO - Epoch [20][1550/1849] lr: 2.000e-04, eta: 2:07:39, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9922, loss_bbox: 0.7661, loss_iou: 1.1408, d0.loss_cls: 2.0894, d0.loss_bbox: 0.8170, d0.loss_iou: 1.2009, d1.loss_cls: 2.0554, d1.loss_bbox: 0.7982, d1.loss_iou: 1.1786, d2.loss_cls: 2.0283, d2.loss_bbox: 0.7833, d2.loss_iou: 1.1583, d3.loss_cls: 2.0122, d3.loss_bbox: 0.7735, d3.loss_iou: 1.1488, d4.loss_cls: 1.9980, d4.loss_bbox: 0.7679, d4.loss_iou: 1.1432, loss: 23.8521, grad_norm: 15.3996 +2022-10-26 21:02:39,991 - mmdet - INFO - Epoch [20][1600/1849] lr: 2.000e-04, eta: 2:07:32, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9899, loss_bbox: 0.7688, loss_iou: 1.1442, d0.loss_cls: 2.0911, d0.loss_bbox: 0.8176, d0.loss_iou: 1.2024, d1.loss_cls: 2.0613, d1.loss_bbox: 0.7983, d1.loss_iou: 1.1807, d2.loss_cls: 2.0290, d2.loss_bbox: 0.7846, d2.loss_iou: 1.1622, d3.loss_cls: 2.0138, d3.loss_bbox: 0.7753, d3.loss_iou: 1.1515, d4.loss_cls: 1.9988, d4.loss_bbox: 0.7705, d4.loss_iou: 1.1469, loss: 23.8871, grad_norm: 16.0330 +2022-10-26 21:02:46,848 - mmdet - INFO - Epoch [20][1650/1849] lr: 2.000e-04, eta: 2:07:25, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9741, loss_bbox: 0.7685, loss_iou: 1.1398, d0.loss_cls: 2.0750, d0.loss_bbox: 0.8182, d0.loss_iou: 1.2007, d1.loss_cls: 2.0415, d1.loss_bbox: 0.7992, d1.loss_iou: 1.1792, d2.loss_cls: 2.0129, d2.loss_bbox: 0.7847, d2.loss_iou: 1.1577, d3.loss_cls: 1.9937, d3.loss_bbox: 0.7755, d3.loss_iou: 1.1480, d4.loss_cls: 1.9811, d4.loss_bbox: 0.7700, d4.loss_iou: 1.1424, loss: 23.7623, grad_norm: 15.0837 +2022-10-26 21:02:53,544 - mmdet - INFO - Epoch [20][1700/1849] lr: 2.000e-04, eta: 2:07:18, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9646, loss_bbox: 0.7634, loss_iou: 1.1395, d0.loss_cls: 2.0670, d0.loss_bbox: 0.8134, d0.loss_iou: 1.1977, d1.loss_cls: 2.0336, d1.loss_bbox: 0.7954, d1.loss_iou: 1.1770, d2.loss_cls: 2.0056, d2.loss_bbox: 0.7810, d2.loss_iou: 1.1573, d3.loss_cls: 1.9859, d3.loss_bbox: 0.7711, d3.loss_iou: 1.1475, d4.loss_cls: 1.9722, d4.loss_bbox: 0.7656, d4.loss_iou: 1.1414, loss: 23.6792, grad_norm: 17.0169 +2022-10-26 21:03:00,437 - mmdet - INFO - Epoch [20][1750/1849] lr: 2.000e-04, eta: 2:07:11, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9905, loss_bbox: 0.7652, loss_iou: 1.1425, d0.loss_cls: 2.0883, d0.loss_bbox: 0.8157, d0.loss_iou: 1.2026, d1.loss_cls: 2.0594, d1.loss_bbox: 0.7971, d1.loss_iou: 1.1807, d2.loss_cls: 2.0281, d2.loss_bbox: 0.7821, d2.loss_iou: 1.1607, d3.loss_cls: 2.0116, d3.loss_bbox: 0.7728, d3.loss_iou: 1.1514, d4.loss_cls: 1.9967, d4.loss_bbox: 0.7673, d4.loss_iou: 1.1449, loss: 23.8576, grad_norm: 13.9837 +2022-10-26 21:03:07,370 - mmdet - INFO - Epoch [20][1800/1849] lr: 2.000e-04, eta: 2:07:04, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9787, loss_bbox: 0.7658, loss_iou: 1.1413, d0.loss_cls: 2.0727, d0.loss_bbox: 0.8155, d0.loss_iou: 1.2007, d1.loss_cls: 2.0415, d1.loss_bbox: 0.7972, d1.loss_iou: 1.1798, d2.loss_cls: 2.0136, d2.loss_bbox: 0.7827, d2.loss_iou: 1.1600, d3.loss_cls: 1.9986, d3.loss_bbox: 0.7733, d3.loss_iou: 1.1503, d4.loss_cls: 1.9839, d4.loss_bbox: 0.7676, d4.loss_iou: 1.1445, loss: 23.7675, grad_norm: 14.5104 +2022-10-26 21:03:14,242 - mmdet - INFO - Saving checkpoint at 20 epochs +2022-10-26 21:03:24,856 - mmdet - INFO - Epoch [21][50/1849] lr: 2.000e-04, eta: 2:06:45, time: 0.199, data_time: 0.063, memory: 4401, loss_cls: 1.9706, loss_bbox: 0.7650, loss_iou: 1.1403, d0.loss_cls: 2.0704, d0.loss_bbox: 0.8140, d0.loss_iou: 1.1997, d1.loss_cls: 2.0397, d1.loss_bbox: 0.7952, d1.loss_iou: 1.1776, d2.loss_cls: 2.0090, d2.loss_bbox: 0.7798, d2.loss_iou: 1.1584, d3.loss_cls: 1.9915, d3.loss_bbox: 0.7708, d3.loss_iou: 1.1486, d4.loss_cls: 1.9787, d4.loss_bbox: 0.7665, d4.loss_iou: 1.1427, loss: 23.7184, grad_norm: 16.4307 +2022-10-26 21:03:31,847 - mmdet - INFO - Epoch [21][100/1849] lr: 2.000e-04, eta: 2:06:39, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9665, loss_bbox: 0.7663, loss_iou: 1.1392, d0.loss_cls: 2.0710, d0.loss_bbox: 0.8157, d0.loss_iou: 1.1994, d1.loss_cls: 2.0349, d1.loss_bbox: 0.7982, d1.loss_iou: 1.1783, d2.loss_cls: 2.0067, d2.loss_bbox: 0.7829, d2.loss_iou: 1.1579, d3.loss_cls: 1.9860, d3.loss_bbox: 0.7742, d3.loss_iou: 1.1481, d4.loss_cls: 1.9746, d4.loss_bbox: 0.7682, d4.loss_iou: 1.1418, loss: 23.7098, grad_norm: 15.7539 +2022-10-26 21:03:38,803 - mmdet - INFO - Epoch [21][150/1849] lr: 2.000e-04, eta: 2:06:32, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9684, loss_bbox: 0.7659, loss_iou: 1.1381, d0.loss_cls: 2.0677, d0.loss_bbox: 0.8167, d0.loss_iou: 1.1978, d1.loss_cls: 2.0357, d1.loss_bbox: 0.7974, d1.loss_iou: 1.1773, d2.loss_cls: 2.0045, d2.loss_bbox: 0.7822, d2.loss_iou: 1.1565, d3.loss_cls: 1.9896, d3.loss_bbox: 0.7728, d3.loss_iou: 1.1477, d4.loss_cls: 1.9755, d4.loss_bbox: 0.7673, d4.loss_iou: 1.1410, loss: 23.7021, grad_norm: 15.5542 +2022-10-26 21:03:45,930 - mmdet - INFO - Epoch [21][200/1849] lr: 2.000e-04, eta: 2:06:25, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9677, loss_bbox: 0.7693, loss_iou: 1.1370, d0.loss_cls: 2.0690, d0.loss_bbox: 0.8193, d0.loss_iou: 1.1957, d1.loss_cls: 2.0341, d1.loss_bbox: 0.8007, d1.loss_iou: 1.1765, d2.loss_cls: 2.0046, d2.loss_bbox: 0.7858, d2.loss_iou: 1.1559, d3.loss_cls: 1.9882, d3.loss_bbox: 0.7767, d3.loss_iou: 1.1456, d4.loss_cls: 1.9756, d4.loss_bbox: 0.7713, d4.loss_iou: 1.1400, loss: 23.7129, grad_norm: 14.6159 +2022-10-26 21:03:52,991 - mmdet - INFO - Epoch [21][250/1849] lr: 2.000e-04, eta: 2:06:19, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9699, loss_bbox: 0.7622, loss_iou: 1.1388, d0.loss_cls: 2.0710, d0.loss_bbox: 0.8129, d0.loss_iou: 1.1982, d1.loss_cls: 2.0370, d1.loss_bbox: 0.7939, d1.loss_iou: 1.1764, d2.loss_cls: 2.0031, d2.loss_bbox: 0.7782, d2.loss_iou: 1.1566, d3.loss_cls: 1.9911, d3.loss_bbox: 0.7700, d3.loss_iou: 1.1463, d4.loss_cls: 1.9778, d4.loss_bbox: 0.7640, d4.loss_iou: 1.1411, loss: 23.6884, grad_norm: 14.9577 +2022-10-26 21:03:59,996 - mmdet - INFO - Epoch [21][300/1849] lr: 2.000e-04, eta: 2:06:12, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9827, loss_bbox: 0.7644, loss_iou: 1.1441, d0.loss_cls: 2.0818, d0.loss_bbox: 0.8152, d0.loss_iou: 1.2044, d1.loss_cls: 2.0515, d1.loss_bbox: 0.7956, d1.loss_iou: 1.1818, d2.loss_cls: 2.0209, d2.loss_bbox: 0.7807, d2.loss_iou: 1.1612, d3.loss_cls: 2.0003, d3.loss_bbox: 0.7718, d3.loss_iou: 1.1522, d4.loss_cls: 1.9899, d4.loss_bbox: 0.7665, d4.loss_iou: 1.1465, loss: 23.8116, grad_norm: 13.9236 +2022-10-26 21:04:06,745 - mmdet - INFO - Epoch [21][350/1849] lr: 2.000e-04, eta: 2:06:05, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9624, loss_bbox: 0.7682, loss_iou: 1.1417, d0.loss_cls: 2.0650, d0.loss_bbox: 0.8185, d0.loss_iou: 1.2021, d1.loss_cls: 2.0312, d1.loss_bbox: 0.7987, d1.loss_iou: 1.1792, d2.loss_cls: 2.0015, d2.loss_bbox: 0.7849, d2.loss_iou: 1.1589, d3.loss_cls: 1.9823, d3.loss_bbox: 0.7755, d3.loss_iou: 1.1500, d4.loss_cls: 1.9701, d4.loss_bbox: 0.7698, d4.loss_iou: 1.1440, loss: 23.7040, grad_norm: 14.6146 +2022-10-26 21:04:13,835 - mmdet - INFO - Epoch [21][400/1849] lr: 2.000e-04, eta: 2:05:59, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9607, loss_bbox: 0.7602, loss_iou: 1.1345, d0.loss_cls: 2.0619, d0.loss_bbox: 0.8114, d0.loss_iou: 1.1957, d1.loss_cls: 2.0292, d1.loss_bbox: 0.7929, d1.loss_iou: 1.1737, d2.loss_cls: 1.9992, d2.loss_bbox: 0.7769, d2.loss_iou: 1.1536, d3.loss_cls: 1.9795, d3.loss_bbox: 0.7672, d3.loss_iou: 1.1439, d4.loss_cls: 1.9683, d4.loss_bbox: 0.7614, d4.loss_iou: 1.1378, loss: 23.6080, grad_norm: 15.4204 +2022-10-26 21:04:20,973 - mmdet - INFO - Epoch [21][450/1849] lr: 2.000e-04, eta: 2:05:52, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9882, loss_bbox: 0.7712, loss_iou: 1.1462, d0.loss_cls: 2.0876, d0.loss_bbox: 0.8202, d0.loss_iou: 1.2048, d1.loss_cls: 2.0568, d1.loss_bbox: 0.8015, d1.loss_iou: 1.1828, d2.loss_cls: 2.0281, d2.loss_bbox: 0.7862, d2.loss_iou: 1.1634, d3.loss_cls: 2.0082, d3.loss_bbox: 0.7779, d3.loss_iou: 1.1546, d4.loss_cls: 1.9957, d4.loss_bbox: 0.7728, d4.loss_iou: 1.1491, loss: 23.8951, grad_norm: 17.3725 +2022-10-26 21:04:28,072 - mmdet - INFO - Epoch [21][500/1849] lr: 2.000e-04, eta: 2:05:46, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9668, loss_bbox: 0.7653, loss_iou: 1.1377, d0.loss_cls: 2.0683, d0.loss_bbox: 0.8157, d0.loss_iou: 1.1963, d1.loss_cls: 2.0381, d1.loss_bbox: 0.7975, d1.loss_iou: 1.1749, d2.loss_cls: 2.0039, d2.loss_bbox: 0.7818, d2.loss_iou: 1.1553, d3.loss_cls: 1.9862, d3.loss_bbox: 0.7724, d3.loss_iou: 1.1455, d4.loss_cls: 1.9733, d4.loss_bbox: 0.7675, d4.loss_iou: 1.1399, loss: 23.6865, grad_norm: 15.7547 +2022-10-26 21:04:35,105 - mmdet - INFO - Epoch [21][550/1849] lr: 2.000e-04, eta: 2:05:39, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9660, loss_bbox: 0.7668, loss_iou: 1.1447, d0.loss_cls: 2.0728, d0.loss_bbox: 0.8182, d0.loss_iou: 1.2048, d1.loss_cls: 2.0340, d1.loss_bbox: 0.7974, d1.loss_iou: 1.1830, d2.loss_cls: 2.0034, d2.loss_bbox: 0.7833, d2.loss_iou: 1.1629, d3.loss_cls: 1.9852, d3.loss_bbox: 0.7737, d3.loss_iou: 1.1529, d4.loss_cls: 1.9750, d4.loss_bbox: 0.7688, d4.loss_iou: 1.1467, loss: 23.7397, grad_norm: 17.2944 +2022-10-26 21:04:41,966 - mmdet - INFO - Epoch [21][600/1849] lr: 2.000e-04, eta: 2:05:32, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9574, loss_bbox: 0.7649, loss_iou: 1.1371, d0.loss_cls: 2.0562, d0.loss_bbox: 0.8158, d0.loss_iou: 1.1968, d1.loss_cls: 2.0261, d1.loss_bbox: 0.7971, d1.loss_iou: 1.1766, d2.loss_cls: 1.9947, d2.loss_bbox: 0.7824, d2.loss_iou: 1.1565, d3.loss_cls: 1.9781, d3.loss_bbox: 0.7720, d3.loss_iou: 1.1462, d4.loss_cls: 1.9637, d4.loss_bbox: 0.7667, d4.loss_iou: 1.1401, loss: 23.6284, grad_norm: 15.1659 +2022-10-26 21:04:48,983 - mmdet - INFO - Epoch [21][650/1849] lr: 2.000e-04, eta: 2:05:25, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9674, loss_bbox: 0.7624, loss_iou: 1.1395, d0.loss_cls: 2.0616, d0.loss_bbox: 0.8141, d0.loss_iou: 1.1982, d1.loss_cls: 2.0299, d1.loss_bbox: 0.7953, d1.loss_iou: 1.1793, d2.loss_cls: 2.0045, d2.loss_bbox: 0.7802, d2.loss_iou: 1.1580, d3.loss_cls: 1.9878, d3.loss_bbox: 0.7707, d3.loss_iou: 1.1475, d4.loss_cls: 1.9747, d4.loss_bbox: 0.7647, d4.loss_iou: 1.1426, loss: 23.6783, grad_norm: 14.3555 +2022-10-26 21:04:56,004 - mmdet - INFO - Epoch [21][700/1849] lr: 2.000e-04, eta: 2:05:19, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9740, loss_bbox: 0.7644, loss_iou: 1.1404, d0.loss_cls: 2.0744, d0.loss_bbox: 0.8154, d0.loss_iou: 1.2007, d1.loss_cls: 2.0384, d1.loss_bbox: 0.7962, d1.loss_iou: 1.1789, d2.loss_cls: 2.0107, d2.loss_bbox: 0.7808, d2.loss_iou: 1.1586, d3.loss_cls: 1.9935, d3.loss_bbox: 0.7722, d3.loss_iou: 1.1487, d4.loss_cls: 1.9820, d4.loss_bbox: 0.7667, d4.loss_iou: 1.1426, loss: 23.7386, grad_norm: 14.2540 +2022-10-26 21:05:02,927 - mmdet - INFO - Epoch [21][750/1849] lr: 2.000e-04, eta: 2:05:12, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9754, loss_bbox: 0.7646, loss_iou: 1.1443, d0.loss_cls: 2.0787, d0.loss_bbox: 0.8146, d0.loss_iou: 1.2023, d1.loss_cls: 2.0408, d1.loss_bbox: 0.7966, d1.loss_iou: 1.1826, d2.loss_cls: 2.0104, d2.loss_bbox: 0.7804, d2.loss_iou: 1.1624, d3.loss_cls: 1.9944, d3.loss_bbox: 0.7716, d3.loss_iou: 1.1522, d4.loss_cls: 1.9829, d4.loss_bbox: 0.7666, d4.loss_iou: 1.1467, loss: 23.7676, grad_norm: 15.3878 +2022-10-26 21:05:09,805 - mmdet - INFO - Epoch [21][800/1849] lr: 2.000e-04, eta: 2:05:05, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9618, loss_bbox: 0.7646, loss_iou: 1.1382, d0.loss_cls: 2.0658, d0.loss_bbox: 0.8158, d0.loss_iou: 1.1999, d1.loss_cls: 2.0341, d1.loss_bbox: 0.7966, d1.loss_iou: 1.1770, d2.loss_cls: 2.0034, d2.loss_bbox: 0.7816, d2.loss_iou: 1.1571, d3.loss_cls: 1.9854, d3.loss_bbox: 0.7726, d3.loss_iou: 1.1470, d4.loss_cls: 1.9691, d4.loss_bbox: 0.7664, d4.loss_iou: 1.1410, loss: 23.6774, grad_norm: 15.3648 +2022-10-26 21:05:16,588 - mmdet - INFO - Epoch [21][850/1849] lr: 2.000e-04, eta: 2:04:58, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9564, loss_bbox: 0.7641, loss_iou: 1.1389, d0.loss_cls: 2.0584, d0.loss_bbox: 0.8154, d0.loss_iou: 1.1994, d1.loss_cls: 2.0266, d1.loss_bbox: 0.7951, d1.loss_iou: 1.1771, d2.loss_cls: 1.9965, d2.loss_bbox: 0.7802, d2.loss_iou: 1.1574, d3.loss_cls: 1.9788, d3.loss_bbox: 0.7715, d3.loss_iou: 1.1469, d4.loss_cls: 1.9662, d4.loss_bbox: 0.7661, d4.loss_iou: 1.1419, loss: 23.6371, grad_norm: 15.9106 +2022-10-26 21:05:23,620 - mmdet - INFO - Epoch [21][900/1849] lr: 2.000e-04, eta: 2:04:52, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9833, loss_bbox: 0.7680, loss_iou: 1.1393, d0.loss_cls: 2.0807, d0.loss_bbox: 0.8192, d0.loss_iou: 1.1986, d1.loss_cls: 2.0467, d1.loss_bbox: 0.8004, d1.loss_iou: 1.1778, d2.loss_cls: 2.0170, d2.loss_bbox: 0.7842, d2.loss_iou: 1.1576, d3.loss_cls: 1.9978, d3.loss_bbox: 0.7747, d3.loss_iou: 1.1479, d4.loss_cls: 1.9879, d4.loss_bbox: 0.7701, d4.loss_iou: 1.1416, loss: 23.7928, grad_norm: 14.0307 +2022-10-26 21:05:30,642 - mmdet - INFO - Epoch [21][950/1849] lr: 2.000e-04, eta: 2:04:45, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9717, loss_bbox: 0.7721, loss_iou: 1.1442, d0.loss_cls: 2.0724, d0.loss_bbox: 0.8226, d0.loss_iou: 1.2046, d1.loss_cls: 2.0377, d1.loss_bbox: 0.8035, d1.loss_iou: 1.1823, d2.loss_cls: 2.0083, d2.loss_bbox: 0.7883, d2.loss_iou: 1.1626, d3.loss_cls: 1.9891, d3.loss_bbox: 0.7789, d3.loss_iou: 1.1525, d4.loss_cls: 1.9772, d4.loss_bbox: 0.7739, d4.loss_iou: 1.1468, loss: 23.7888, grad_norm: 15.9990 +2022-10-26 21:05:37,708 - mmdet - INFO - Epoch [21][1000/1849] lr: 2.000e-04, eta: 2:04:38, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9655, loss_bbox: 0.7660, loss_iou: 1.1396, d0.loss_cls: 2.0641, d0.loss_bbox: 0.8173, d0.loss_iou: 1.2007, d1.loss_cls: 2.0329, d1.loss_bbox: 0.7962, d1.loss_iou: 1.1779, d2.loss_cls: 2.0052, d2.loss_bbox: 0.7818, d2.loss_iou: 1.1579, d3.loss_cls: 1.9864, d3.loss_bbox: 0.7725, d3.loss_iou: 1.1478, d4.loss_cls: 1.9726, d4.loss_bbox: 0.7678, d4.loss_iou: 1.1423, loss: 23.6945, grad_norm: 15.1103 +2022-10-26 21:05:44,692 - mmdet - INFO - Epoch [21][1050/1849] lr: 2.000e-04, eta: 2:04:32, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9671, loss_bbox: 0.7630, loss_iou: 1.1374, d0.loss_cls: 2.0685, d0.loss_bbox: 0.8145, d0.loss_iou: 1.1981, d1.loss_cls: 2.0367, d1.loss_bbox: 0.7942, d1.loss_iou: 1.1753, d2.loss_cls: 2.0044, d2.loss_bbox: 0.7807, d2.loss_iou: 1.1561, d3.loss_cls: 1.9876, d3.loss_bbox: 0.7705, d3.loss_iou: 1.1458, d4.loss_cls: 1.9758, d4.loss_bbox: 0.7650, d4.loss_iou: 1.1400, loss: 23.6809, grad_norm: 14.8331 +2022-10-26 21:05:51,395 - mmdet - INFO - Epoch [21][1100/1849] lr: 2.000e-04, eta: 2:04:25, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9783, loss_bbox: 0.7628, loss_iou: 1.1344, d0.loss_cls: 2.0796, d0.loss_bbox: 0.8136, d0.loss_iou: 1.1957, d1.loss_cls: 2.0471, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1739, d2.loss_cls: 2.0152, d2.loss_bbox: 0.7801, d2.loss_iou: 1.1530, d3.loss_cls: 1.9978, d3.loss_bbox: 0.7702, d3.loss_iou: 1.1431, d4.loss_cls: 1.9847, d4.loss_bbox: 0.7649, d4.loss_iou: 1.1376, loss: 23.7268, grad_norm: 14.6040 +2022-10-26 21:05:58,085 - mmdet - INFO - Epoch [21][1150/1849] lr: 2.000e-04, eta: 2:04:17, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9852, loss_bbox: 0.7709, loss_iou: 1.1476, d0.loss_cls: 2.0865, d0.loss_bbox: 0.8207, d0.loss_iou: 1.2067, d1.loss_cls: 2.0528, d1.loss_bbox: 0.8016, d1.loss_iou: 1.1859, d2.loss_cls: 2.0207, d2.loss_bbox: 0.7873, d2.loss_iou: 1.1655, d3.loss_cls: 2.0031, d3.loss_bbox: 0.7775, d3.loss_iou: 1.1556, d4.loss_cls: 1.9924, d4.loss_bbox: 0.7729, d4.loss_iou: 1.1494, loss: 23.8825, grad_norm: 14.6369 +2022-10-26 21:06:05,171 - mmdet - INFO - Epoch [21][1200/1849] lr: 2.000e-04, eta: 2:04:11, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9769, loss_bbox: 0.7633, loss_iou: 1.1372, d0.loss_cls: 2.0770, d0.loss_bbox: 0.8145, d0.loss_iou: 1.1979, d1.loss_cls: 2.0451, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1752, d2.loss_cls: 2.0138, d2.loss_bbox: 0.7794, d2.loss_iou: 1.1555, d3.loss_cls: 1.9959, d3.loss_bbox: 0.7705, d3.loss_iou: 1.1457, d4.loss_cls: 1.9836, d4.loss_bbox: 0.7651, d4.loss_iou: 1.1399, loss: 23.7312, grad_norm: 14.9776 +2022-10-26 21:06:11,931 - mmdet - INFO - Epoch [21][1250/1849] lr: 2.000e-04, eta: 2:04:04, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9796, loss_bbox: 0.7708, loss_iou: 1.1451, d0.loss_cls: 2.0786, d0.loss_bbox: 0.8209, d0.loss_iou: 1.2050, d1.loss_cls: 2.0451, d1.loss_bbox: 0.8023, d1.loss_iou: 1.1834, d2.loss_cls: 2.0182, d2.loss_bbox: 0.7874, d2.loss_iou: 1.1629, d3.loss_cls: 1.9986, d3.loss_bbox: 0.7779, d3.loss_iou: 1.1539, d4.loss_cls: 1.9874, d4.loss_bbox: 0.7727, d4.loss_iou: 1.1478, loss: 23.8377, grad_norm: 14.6359 +2022-10-26 21:06:18,726 - mmdet - INFO - Epoch [21][1300/1849] lr: 2.000e-04, eta: 2:03:57, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9801, loss_bbox: 0.7688, loss_iou: 1.1444, d0.loss_cls: 2.0788, d0.loss_bbox: 0.8195, d0.loss_iou: 1.2037, d1.loss_cls: 2.0469, d1.loss_bbox: 0.8006, d1.loss_iou: 1.1820, d2.loss_cls: 2.0155, d2.loss_bbox: 0.7849, d2.loss_iou: 1.1622, d3.loss_cls: 2.0010, d3.loss_bbox: 0.7754, d3.loss_iou: 1.1521, d4.loss_cls: 1.9885, d4.loss_bbox: 0.7706, d4.loss_iou: 1.1465, loss: 23.8213, grad_norm: 15.4257 +2022-10-26 21:06:25,343 - mmdet - INFO - Epoch [21][1350/1849] lr: 2.000e-04, eta: 2:03:50, time: 0.132, data_time: 0.005, memory: 4401, loss_cls: 1.9771, loss_bbox: 0.7634, loss_iou: 1.1367, d0.loss_cls: 2.0754, d0.loss_bbox: 0.8137, d0.loss_iou: 1.1974, d1.loss_cls: 2.0459, d1.loss_bbox: 0.7960, d1.loss_iou: 1.1759, d2.loss_cls: 2.0143, d2.loss_bbox: 0.7797, d2.loss_iou: 1.1557, d3.loss_cls: 1.9973, d3.loss_bbox: 0.7702, d3.loss_iou: 1.1449, d4.loss_cls: 1.9838, d4.loss_bbox: 0.7652, d4.loss_iou: 1.1386, loss: 23.7310, grad_norm: 15.3243 +2022-10-26 21:06:31,989 - mmdet - INFO - Epoch [21][1400/1849] lr: 2.000e-04, eta: 2:03:43, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.9668, loss_bbox: 0.7651, loss_iou: 1.1375, d0.loss_cls: 2.0707, d0.loss_bbox: 0.8167, d0.loss_iou: 1.1992, d1.loss_cls: 2.0366, d1.loss_bbox: 0.7976, d1.loss_iou: 1.1768, d2.loss_cls: 2.0041, d2.loss_bbox: 0.7823, d2.loss_iou: 1.1570, d3.loss_cls: 1.9859, d3.loss_bbox: 0.7727, d3.loss_iou: 1.1461, d4.loss_cls: 1.9749, d4.loss_bbox: 0.7669, d4.loss_iou: 1.1402, loss: 23.6971, grad_norm: 14.3538 +2022-10-26 21:06:38,884 - mmdet - INFO - Epoch [21][1450/1849] lr: 2.000e-04, eta: 2:03:36, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9783, loss_bbox: 0.7679, loss_iou: 1.1433, d0.loss_cls: 2.0747, d0.loss_bbox: 0.8163, d0.loss_iou: 1.2009, d1.loss_cls: 2.0456, d1.loss_bbox: 0.7974, d1.loss_iou: 1.1802, d2.loss_cls: 2.0133, d2.loss_bbox: 0.7841, d2.loss_iou: 1.1608, d3.loss_cls: 1.9968, d3.loss_bbox: 0.7746, d3.loss_iou: 1.1522, d4.loss_cls: 1.9858, d4.loss_bbox: 0.7700, d4.loss_iou: 1.1461, loss: 23.7882, grad_norm: 15.7582 +2022-10-26 21:06:45,665 - mmdet - INFO - Epoch [21][1500/1849] lr: 2.000e-04, eta: 2:03:29, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9758, loss_bbox: 0.7596, loss_iou: 1.1387, d0.loss_cls: 2.0768, d0.loss_bbox: 0.8105, d0.loss_iou: 1.1979, d1.loss_cls: 2.0449, d1.loss_bbox: 0.7925, d1.loss_iou: 1.1754, d2.loss_cls: 2.0153, d2.loss_bbox: 0.7770, d2.loss_iou: 1.1571, d3.loss_cls: 1.9951, d3.loss_bbox: 0.7670, d3.loss_iou: 1.1467, d4.loss_cls: 1.9825, d4.loss_bbox: 0.7612, d4.loss_iou: 1.1408, loss: 23.7148, grad_norm: 14.9273 +2022-10-26 21:06:52,519 - mmdet - INFO - Epoch [21][1550/1849] lr: 2.000e-04, eta: 2:03:22, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9633, loss_bbox: 0.7691, loss_iou: 1.1405, d0.loss_cls: 2.0645, d0.loss_bbox: 0.8198, d0.loss_iou: 1.2017, d1.loss_cls: 2.0336, d1.loss_bbox: 0.8005, d1.loss_iou: 1.1796, d2.loss_cls: 2.0019, d2.loss_bbox: 0.7856, d2.loss_iou: 1.1597, d3.loss_cls: 1.9837, d3.loss_bbox: 0.7766, d3.loss_iou: 1.1492, d4.loss_cls: 1.9694, d4.loss_bbox: 0.7712, d4.loss_iou: 1.1437, loss: 23.7136, grad_norm: 14.6717 +2022-10-26 21:06:59,480 - mmdet - INFO - Epoch [21][1600/1849] lr: 2.000e-04, eta: 2:03:15, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9858, loss_bbox: 0.7677, loss_iou: 1.1405, d0.loss_cls: 2.0862, d0.loss_bbox: 0.8177, d0.loss_iou: 1.2001, d1.loss_cls: 2.0519, d1.loss_bbox: 0.7999, d1.loss_iou: 1.1785, d2.loss_cls: 2.0226, d2.loss_bbox: 0.7843, d2.loss_iou: 1.1579, d3.loss_cls: 2.0040, d3.loss_bbox: 0.7753, d3.loss_iou: 1.1489, d4.loss_cls: 1.9916, d4.loss_bbox: 0.7701, d4.loss_iou: 1.1428, loss: 23.8258, grad_norm: 16.3772 +2022-10-26 21:07:06,064 - mmdet - INFO - Epoch [21][1650/1849] lr: 2.000e-04, eta: 2:03:08, time: 0.132, data_time: 0.005, memory: 4401, loss_cls: 1.9781, loss_bbox: 0.7684, loss_iou: 1.1460, d0.loss_cls: 2.0805, d0.loss_bbox: 0.8186, d0.loss_iou: 1.2042, d1.loss_cls: 2.0477, d1.loss_bbox: 0.7999, d1.loss_iou: 1.1844, d2.loss_cls: 2.0183, d2.loss_bbox: 0.7856, d2.loss_iou: 1.1646, d3.loss_cls: 2.0018, d3.loss_bbox: 0.7755, d3.loss_iou: 1.1552, d4.loss_cls: 1.9875, d4.loss_bbox: 0.7702, d4.loss_iou: 1.1487, loss: 23.8353, grad_norm: 15.5893 +2022-10-26 21:07:12,913 - mmdet - INFO - Epoch [21][1700/1849] lr: 2.000e-04, eta: 2:03:01, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9773, loss_bbox: 0.7677, loss_iou: 1.1433, d0.loss_cls: 2.0749, d0.loss_bbox: 0.8174, d0.loss_iou: 1.2000, d1.loss_cls: 2.0455, d1.loss_bbox: 0.7989, d1.loss_iou: 1.1808, d2.loss_cls: 2.0130, d2.loss_bbox: 0.7844, d2.loss_iou: 1.1610, d3.loss_cls: 1.9941, d3.loss_bbox: 0.7743, d3.loss_iou: 1.1514, d4.loss_cls: 1.9833, d4.loss_bbox: 0.7696, d4.loss_iou: 1.1458, loss: 23.7826, grad_norm: 14.6353 +2022-10-26 21:07:19,700 - mmdet - INFO - Epoch [21][1750/1849] lr: 2.000e-04, eta: 2:02:54, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9746, loss_bbox: 0.7668, loss_iou: 1.1401, d0.loss_cls: 2.0791, d0.loss_bbox: 0.8165, d0.loss_iou: 1.1998, d1.loss_cls: 2.0465, d1.loss_bbox: 0.7991, d1.loss_iou: 1.1790, d2.loss_cls: 2.0153, d2.loss_bbox: 0.7833, d2.loss_iou: 1.1585, d3.loss_cls: 1.9971, d3.loss_bbox: 0.7741, d3.loss_iou: 1.1494, d4.loss_cls: 1.9825, d4.loss_bbox: 0.7688, d4.loss_iou: 1.1431, loss: 23.7734, grad_norm: 16.8624 +2022-10-26 21:07:26,324 - mmdet - INFO - Epoch [21][1800/1849] lr: 2.000e-04, eta: 2:02:47, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.9623, loss_bbox: 0.7619, loss_iou: 1.1390, d0.loss_cls: 2.0633, d0.loss_bbox: 0.8120, d0.loss_iou: 1.1997, d1.loss_cls: 2.0312, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1775, d2.loss_cls: 2.0006, d2.loss_bbox: 0.7794, d2.loss_iou: 1.1575, d3.loss_cls: 1.9823, d3.loss_bbox: 0.7698, d3.loss_iou: 1.1480, d4.loss_cls: 1.9719, d4.loss_bbox: 0.7635, d4.loss_iou: 1.1416, loss: 23.6564, grad_norm: 14.7654 +2022-10-26 21:07:33,356 - mmdet - INFO - Saving checkpoint at 21 epochs +2022-10-26 21:07:44,355 - mmdet - INFO - Epoch [22][50/1849] lr: 2.000e-04, eta: 2:02:29, time: 0.206, data_time: 0.064, memory: 4401, loss_cls: 1.9604, loss_bbox: 0.7660, loss_iou: 1.1417, d0.loss_cls: 2.0672, d0.loss_bbox: 0.8170, d0.loss_iou: 1.2026, d1.loss_cls: 2.0313, d1.loss_bbox: 0.7991, d1.loss_iou: 1.1804, d2.loss_cls: 2.0004, d2.loss_bbox: 0.7833, d2.loss_iou: 1.1599, d3.loss_cls: 1.9801, d3.loss_bbox: 0.7732, d3.loss_iou: 1.1499, d4.loss_cls: 1.9681, d4.loss_bbox: 0.7676, d4.loss_iou: 1.1437, loss: 23.6919, grad_norm: 13.9139 +2022-10-26 21:07:51,516 - mmdet - INFO - Epoch [22][100/1849] lr: 2.000e-04, eta: 2:02:22, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9626, loss_bbox: 0.7603, loss_iou: 1.1338, d0.loss_cls: 2.0655, d0.loss_bbox: 0.8108, d0.loss_iou: 1.1943, d1.loss_cls: 2.0322, d1.loss_bbox: 0.7924, d1.loss_iou: 1.1734, d2.loss_cls: 2.0027, d2.loss_bbox: 0.7765, d2.loss_iou: 1.1520, d3.loss_cls: 1.9806, d3.loss_bbox: 0.7672, d3.loss_iou: 1.1423, d4.loss_cls: 1.9695, d4.loss_bbox: 0.7617, d4.loss_iou: 1.1368, loss: 23.6145, grad_norm: 16.1492 +2022-10-26 21:07:58,765 - mmdet - INFO - Epoch [22][150/1849] lr: 2.000e-04, eta: 2:02:16, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9378, loss_bbox: 0.7618, loss_iou: 1.1315, d0.loss_cls: 2.0388, d0.loss_bbox: 0.8121, d0.loss_iou: 1.1915, d1.loss_cls: 2.0052, d1.loss_bbox: 0.7940, d1.loss_iou: 1.1700, d2.loss_cls: 1.9763, d2.loss_bbox: 0.7781, d2.loss_iou: 1.1497, d3.loss_cls: 1.9587, d3.loss_bbox: 0.7690, d3.loss_iou: 1.1396, d4.loss_cls: 1.9446, d4.loss_bbox: 0.7635, d4.loss_iou: 1.1339, loss: 23.4562, grad_norm: 14.9650 +2022-10-26 21:08:05,674 - mmdet - INFO - Epoch [22][200/1849] lr: 2.000e-04, eta: 2:02:09, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9725, loss_bbox: 0.7662, loss_iou: 1.1363, d0.loss_cls: 2.0758, d0.loss_bbox: 0.8178, d0.loss_iou: 1.1962, d1.loss_cls: 2.0413, d1.loss_bbox: 0.7985, d1.loss_iou: 1.1733, d2.loss_cls: 2.0092, d2.loss_bbox: 0.7821, d2.loss_iou: 1.1540, d3.loss_cls: 1.9935, d3.loss_bbox: 0.7729, d3.loss_iou: 1.1442, d4.loss_cls: 1.9809, d4.loss_bbox: 0.7675, d4.loss_iou: 1.1387, loss: 23.7209, grad_norm: 14.5941 +2022-10-26 21:08:12,590 - mmdet - INFO - Epoch [22][250/1849] lr: 2.000e-04, eta: 2:02:02, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9771, loss_bbox: 0.7651, loss_iou: 1.1436, d0.loss_cls: 2.0778, d0.loss_bbox: 0.8148, d0.loss_iou: 1.2025, d1.loss_cls: 2.0480, d1.loss_bbox: 0.7967, d1.loss_iou: 1.1806, d2.loss_cls: 2.0150, d2.loss_bbox: 0.7821, d2.loss_iou: 1.1622, d3.loss_cls: 1.9992, d3.loss_bbox: 0.7725, d3.loss_iou: 1.1524, d4.loss_cls: 1.9840, d4.loss_bbox: 0.7674, d4.loss_iou: 1.1461, loss: 23.7871, grad_norm: 15.4368 +2022-10-26 21:08:19,464 - mmdet - INFO - Epoch [22][300/1849] lr: 2.000e-04, eta: 2:01:56, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9592, loss_bbox: 0.7590, loss_iou: 1.1333, d0.loss_cls: 2.0625, d0.loss_bbox: 0.8103, d0.loss_iou: 1.1962, d1.loss_cls: 2.0272, d1.loss_bbox: 0.7910, d1.loss_iou: 1.1736, d2.loss_cls: 1.9953, d2.loss_bbox: 0.7755, d2.loss_iou: 1.1530, d3.loss_cls: 1.9787, d3.loss_bbox: 0.7662, d3.loss_iou: 1.1423, d4.loss_cls: 1.9654, d4.loss_bbox: 0.7604, d4.loss_iou: 1.1363, loss: 23.5853, grad_norm: 15.6618 +2022-10-26 21:08:26,549 - mmdet - INFO - Epoch [22][350/1849] lr: 2.000e-04, eta: 2:01:49, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9704, loss_bbox: 0.7618, loss_iou: 1.1328, d0.loss_cls: 2.0731, d0.loss_bbox: 0.8134, d0.loss_iou: 1.1943, d1.loss_cls: 2.0383, d1.loss_bbox: 0.7942, d1.loss_iou: 1.1720, d2.loss_cls: 2.0095, d2.loss_bbox: 0.7783, d2.loss_iou: 1.1513, d3.loss_cls: 1.9908, d3.loss_bbox: 0.7686, d3.loss_iou: 1.1414, d4.loss_cls: 1.9779, d4.loss_bbox: 0.7635, d4.loss_iou: 1.1355, loss: 23.6670, grad_norm: 15.5674 +2022-10-26 21:08:33,532 - mmdet - INFO - Epoch [22][400/1849] lr: 2.000e-04, eta: 2:01:42, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9617, loss_bbox: 0.7650, loss_iou: 1.1373, d0.loss_cls: 2.0679, d0.loss_bbox: 0.8149, d0.loss_iou: 1.1964, d1.loss_cls: 2.0322, d1.loss_bbox: 0.7956, d1.loss_iou: 1.1754, d2.loss_cls: 2.0013, d2.loss_bbox: 0.7814, d2.loss_iou: 1.1550, d3.loss_cls: 1.9829, d3.loss_bbox: 0.7715, d3.loss_iou: 1.1460, d4.loss_cls: 1.9699, d4.loss_bbox: 0.7665, d4.loss_iou: 1.1399, loss: 23.6609, grad_norm: 15.4761 +2022-10-26 21:08:40,716 - mmdet - INFO - Epoch [22][450/1849] lr: 2.000e-04, eta: 2:01:36, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9732, loss_bbox: 0.7646, loss_iou: 1.1389, d0.loss_cls: 2.0728, d0.loss_bbox: 0.8154, d0.loss_iou: 1.1997, d1.loss_cls: 2.0400, d1.loss_bbox: 0.7961, d1.loss_iou: 1.1791, d2.loss_cls: 2.0113, d2.loss_bbox: 0.7819, d2.loss_iou: 1.1580, d3.loss_cls: 1.9923, d3.loss_bbox: 0.7725, d3.loss_iou: 1.1479, d4.loss_cls: 1.9802, d4.loss_bbox: 0.7669, d4.loss_iou: 1.1413, loss: 23.7321, grad_norm: 14.4647 +2022-10-26 21:08:47,625 - mmdet - INFO - Epoch [22][500/1849] lr: 2.000e-04, eta: 2:01:29, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9682, loss_bbox: 0.7696, loss_iou: 1.1425, d0.loss_cls: 2.0691, d0.loss_bbox: 0.8198, d0.loss_iou: 1.2013, d1.loss_cls: 2.0384, d1.loss_bbox: 0.8019, d1.loss_iou: 1.1802, d2.loss_cls: 2.0086, d2.loss_bbox: 0.7867, d2.loss_iou: 1.1614, d3.loss_cls: 1.9893, d3.loss_bbox: 0.7768, d3.loss_iou: 1.1507, d4.loss_cls: 1.9750, d4.loss_bbox: 0.7716, d4.loss_iou: 1.1449, loss: 23.7560, grad_norm: 14.3546 +2022-10-26 21:08:54,381 - mmdet - INFO - Epoch [22][550/1849] lr: 2.000e-04, eta: 2:01:22, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9702, loss_bbox: 0.7697, loss_iou: 1.1404, d0.loss_cls: 2.0744, d0.loss_bbox: 0.8190, d0.loss_iou: 1.2001, d1.loss_cls: 2.0390, d1.loss_bbox: 0.7996, d1.loss_iou: 1.1780, d2.loss_cls: 2.0073, d2.loss_bbox: 0.7851, d2.loss_iou: 1.1576, d3.loss_cls: 1.9914, d3.loss_bbox: 0.7761, d3.loss_iou: 1.1478, d4.loss_cls: 1.9758, d4.loss_bbox: 0.7710, d4.loss_iou: 1.1429, loss: 23.7453, grad_norm: 14.8614 +2022-10-26 21:09:01,226 - mmdet - INFO - Epoch [22][600/1849] lr: 2.000e-04, eta: 2:01:15, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9535, loss_bbox: 0.7655, loss_iou: 1.1408, d0.loss_cls: 2.0566, d0.loss_bbox: 0.8156, d0.loss_iou: 1.2007, d1.loss_cls: 2.0217, d1.loss_bbox: 0.7974, d1.loss_iou: 1.1798, d2.loss_cls: 1.9934, d2.loss_bbox: 0.7822, d2.loss_iou: 1.1600, d3.loss_cls: 1.9738, d3.loss_bbox: 0.7724, d3.loss_iou: 1.1497, d4.loss_cls: 1.9601, d4.loss_bbox: 0.7666, d4.loss_iou: 1.1434, loss: 23.6334, grad_norm: 16.8533 +2022-10-26 21:09:08,159 - mmdet - INFO - Epoch [22][650/1849] lr: 2.000e-04, eta: 2:01:08, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9660, loss_bbox: 0.7619, loss_iou: 1.1351, d0.loss_cls: 2.0716, d0.loss_bbox: 0.8119, d0.loss_iou: 1.1955, d1.loss_cls: 2.0397, d1.loss_bbox: 0.7941, d1.loss_iou: 1.1753, d2.loss_cls: 2.0079, d2.loss_bbox: 0.7796, d2.loss_iou: 1.1551, d3.loss_cls: 1.9896, d3.loss_bbox: 0.7697, d3.loss_iou: 1.1448, d4.loss_cls: 1.9746, d4.loss_bbox: 0.7641, d4.loss_iou: 1.1381, loss: 23.6745, grad_norm: 15.9805 +2022-10-26 21:09:15,091 - mmdet - INFO - Epoch [22][700/1849] lr: 2.000e-04, eta: 2:01:02, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9795, loss_bbox: 0.7673, loss_iou: 1.1449, d0.loss_cls: 2.0769, d0.loss_bbox: 0.8183, d0.loss_iou: 1.2060, d1.loss_cls: 2.0453, d1.loss_bbox: 0.8009, d1.loss_iou: 1.1853, d2.loss_cls: 2.0176, d2.loss_bbox: 0.7861, d2.loss_iou: 1.1635, d3.loss_cls: 2.0001, d3.loss_bbox: 0.7747, d3.loss_iou: 1.1533, d4.loss_cls: 1.9860, d4.loss_bbox: 0.7692, d4.loss_iou: 1.1476, loss: 23.8225, grad_norm: 15.3981 +2022-10-26 21:09:22,064 - mmdet - INFO - Epoch [22][750/1849] lr: 2.000e-04, eta: 2:00:55, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9724, loss_bbox: 0.7616, loss_iou: 1.1385, d0.loss_cls: 2.0761, d0.loss_bbox: 0.8123, d0.loss_iou: 1.1997, d1.loss_cls: 2.0428, d1.loss_bbox: 0.7930, d1.loss_iou: 1.1771, d2.loss_cls: 2.0147, d2.loss_bbox: 0.7781, d2.loss_iou: 1.1574, d3.loss_cls: 1.9938, d3.loss_bbox: 0.7686, d3.loss_iou: 1.1477, d4.loss_cls: 1.9797, d4.loss_bbox: 0.7635, d4.loss_iou: 1.1413, loss: 23.7183, grad_norm: 15.7049 +2022-10-26 21:09:28,816 - mmdet - INFO - Epoch [22][800/1849] lr: 2.000e-04, eta: 2:00:48, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9647, loss_bbox: 0.7684, loss_iou: 1.1463, d0.loss_cls: 2.0655, d0.loss_bbox: 0.8178, d0.loss_iou: 1.2055, d1.loss_cls: 2.0317, d1.loss_bbox: 0.7996, d1.loss_iou: 1.1859, d2.loss_cls: 2.0017, d2.loss_bbox: 0.7848, d2.loss_iou: 1.1658, d3.loss_cls: 1.9858, d3.loss_bbox: 0.7750, d3.loss_iou: 1.1561, d4.loss_cls: 1.9709, d4.loss_bbox: 0.7703, d4.loss_iou: 1.1492, loss: 23.7451, grad_norm: 14.0534 +2022-10-26 21:09:35,586 - mmdet - INFO - Epoch [22][850/1849] lr: 2.000e-04, eta: 2:00:41, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9771, loss_bbox: 0.7662, loss_iou: 1.1393, d0.loss_cls: 2.0789, d0.loss_bbox: 0.8163, d0.loss_iou: 1.1994, d1.loss_cls: 2.0465, d1.loss_bbox: 0.7968, d1.loss_iou: 1.1784, d2.loss_cls: 2.0158, d2.loss_bbox: 0.7825, d2.loss_iou: 1.1574, d3.loss_cls: 2.0005, d3.loss_bbox: 0.7731, d3.loss_iou: 1.1468, d4.loss_cls: 1.9842, d4.loss_bbox: 0.7683, d4.loss_iou: 1.1412, loss: 23.7686, grad_norm: 14.2713 +2022-10-26 21:09:42,432 - mmdet - INFO - Epoch [22][900/1849] lr: 2.000e-04, eta: 2:00:34, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9747, loss_bbox: 0.7674, loss_iou: 1.1395, d0.loss_cls: 2.0717, d0.loss_bbox: 0.8150, d0.loss_iou: 1.1980, d1.loss_cls: 2.0426, d1.loss_bbox: 0.7975, d1.loss_iou: 1.1783, d2.loss_cls: 2.0118, d2.loss_bbox: 0.7838, d2.loss_iou: 1.1580, d3.loss_cls: 1.9955, d3.loss_bbox: 0.7748, d3.loss_iou: 1.1482, d4.loss_cls: 1.9818, d4.loss_bbox: 0.7693, d4.loss_iou: 1.1418, loss: 23.7497, grad_norm: 15.8212 +2022-10-26 21:09:49,103 - mmdet - INFO - Epoch [22][950/1849] lr: 2.000e-04, eta: 2:00:27, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.9618, loss_bbox: 0.7630, loss_iou: 1.1336, d0.loss_cls: 2.0630, d0.loss_bbox: 0.8137, d0.loss_iou: 1.1943, d1.loss_cls: 2.0339, d1.loss_bbox: 0.7942, d1.loss_iou: 1.1721, d2.loss_cls: 2.0031, d2.loss_bbox: 0.7796, d2.loss_iou: 1.1527, d3.loss_cls: 1.9843, d3.loss_bbox: 0.7700, d3.loss_iou: 1.1415, d4.loss_cls: 1.9692, d4.loss_bbox: 0.7649, d4.loss_iou: 1.1364, loss: 23.6312, grad_norm: 14.5084 +2022-10-26 21:09:56,099 - mmdet - INFO - Epoch [22][1000/1849] lr: 2.000e-04, eta: 2:00:20, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9773, loss_bbox: 0.7649, loss_iou: 1.1350, d0.loss_cls: 2.0784, d0.loss_bbox: 0.8157, d0.loss_iou: 1.1959, d1.loss_cls: 2.0472, d1.loss_bbox: 0.7977, d1.loss_iou: 1.1724, d2.loss_cls: 2.0181, d2.loss_bbox: 0.7825, d2.loss_iou: 1.1530, d3.loss_cls: 1.9977, d3.loss_bbox: 0.7727, d3.loss_iou: 1.1434, d4.loss_cls: 1.9841, d4.loss_bbox: 0.7675, d4.loss_iou: 1.1379, loss: 23.7414, grad_norm: 15.0523 +2022-10-26 21:10:03,052 - mmdet - INFO - Epoch [22][1050/1849] lr: 2.000e-04, eta: 2:00:14, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9696, loss_bbox: 0.7667, loss_iou: 1.1407, d0.loss_cls: 2.0683, d0.loss_bbox: 0.8178, d0.loss_iou: 1.2019, d1.loss_cls: 2.0367, d1.loss_bbox: 0.7983, d1.loss_iou: 1.1811, d2.loss_cls: 2.0076, d2.loss_bbox: 0.7833, d2.loss_iou: 1.1600, d3.loss_cls: 1.9896, d3.loss_bbox: 0.7738, d3.loss_iou: 1.1501, d4.loss_cls: 1.9773, d4.loss_bbox: 0.7688, d4.loss_iou: 1.1435, loss: 23.7351, grad_norm: 15.0934 +2022-10-26 21:10:10,008 - mmdet - INFO - Epoch [22][1100/1849] lr: 2.000e-04, eta: 2:00:07, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9742, loss_bbox: 0.7650, loss_iou: 1.1376, d0.loss_cls: 2.0765, d0.loss_bbox: 0.8170, d0.loss_iou: 1.1969, d1.loss_cls: 2.0472, d1.loss_bbox: 0.7982, d1.loss_iou: 1.1767, d2.loss_cls: 2.0157, d2.loss_bbox: 0.7830, d2.loss_iou: 1.1564, d3.loss_cls: 1.9959, d3.loss_bbox: 0.7727, d3.loss_iou: 1.1471, d4.loss_cls: 1.9826, d4.loss_bbox: 0.7671, d4.loss_iou: 1.1400, loss: 23.7497, grad_norm: 14.2605 +2022-10-26 21:10:17,063 - mmdet - INFO - Epoch [22][1150/1849] lr: 2.000e-04, eta: 2:00:00, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9612, loss_bbox: 0.7625, loss_iou: 1.1352, d0.loss_cls: 2.0589, d0.loss_bbox: 0.8147, d0.loss_iou: 1.1969, d1.loss_cls: 2.0288, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1737, d2.loss_cls: 1.9970, d2.loss_bbox: 0.7789, d2.loss_iou: 1.1535, d3.loss_cls: 1.9804, d3.loss_bbox: 0.7692, d3.loss_iou: 1.1442, d4.loss_cls: 1.9676, d4.loss_bbox: 0.7637, d4.loss_iou: 1.1380, loss: 23.6194, grad_norm: 14.9856 +2022-10-26 21:10:24,197 - mmdet - INFO - Epoch [22][1200/1849] lr: 2.000e-04, eta: 1:59:54, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9694, loss_bbox: 0.7611, loss_iou: 1.1348, d0.loss_cls: 2.0728, d0.loss_bbox: 0.8149, d0.loss_iou: 1.1978, d1.loss_cls: 2.0384, d1.loss_bbox: 0.7940, d1.loss_iou: 1.1744, d2.loss_cls: 2.0093, d2.loss_bbox: 0.7784, d2.loss_iou: 1.1535, d3.loss_cls: 1.9893, d3.loss_bbox: 0.7686, d3.loss_iou: 1.1440, d4.loss_cls: 1.9754, d4.loss_bbox: 0.7628, d4.loss_iou: 1.1375, loss: 23.6764, grad_norm: 16.8452 +2022-10-26 21:10:31,193 - mmdet - INFO - Epoch [22][1250/1849] lr: 2.000e-04, eta: 1:59:47, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9817, loss_bbox: 0.7606, loss_iou: 1.1379, d0.loss_cls: 2.0750, d0.loss_bbox: 0.8109, d0.loss_iou: 1.1972, d1.loss_cls: 2.0440, d1.loss_bbox: 0.7928, d1.loss_iou: 1.1766, d2.loss_cls: 2.0156, d2.loss_bbox: 0.7772, d2.loss_iou: 1.1561, d3.loss_cls: 1.9989, d3.loss_bbox: 0.7673, d3.loss_iou: 1.1474, d4.loss_cls: 1.9880, d4.loss_bbox: 0.7628, d4.loss_iou: 1.1405, loss: 23.7304, grad_norm: 13.7689 +2022-10-26 21:10:38,253 - mmdet - INFO - Epoch [22][1300/1849] lr: 2.000e-04, eta: 1:59:40, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9677, loss_bbox: 0.7624, loss_iou: 1.1367, d0.loss_cls: 2.0680, d0.loss_bbox: 0.8150, d0.loss_iou: 1.1971, d1.loss_cls: 2.0366, d1.loss_bbox: 0.7950, d1.loss_iou: 1.1761, d2.loss_cls: 2.0059, d2.loss_bbox: 0.7798, d2.loss_iou: 1.1556, d3.loss_cls: 1.9881, d3.loss_bbox: 0.7698, d3.loss_iou: 1.1453, d4.loss_cls: 1.9744, d4.loss_bbox: 0.7648, d4.loss_iou: 1.1387, loss: 23.6769, grad_norm: 14.2934 +2022-10-26 21:10:45,001 - mmdet - INFO - Epoch [22][1350/1849] lr: 2.000e-04, eta: 1:59:33, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9644, loss_bbox: 0.7677, loss_iou: 1.1422, d0.loss_cls: 2.0664, d0.loss_bbox: 0.8192, d0.loss_iou: 1.2018, d1.loss_cls: 2.0307, d1.loss_bbox: 0.8002, d1.loss_iou: 1.1806, d2.loss_cls: 2.0025, d2.loss_bbox: 0.7845, d2.loss_iou: 1.1602, d3.loss_cls: 1.9843, d3.loss_bbox: 0.7751, d3.loss_iou: 1.1501, d4.loss_cls: 1.9716, d4.loss_bbox: 0.7698, d4.loss_iou: 1.1447, loss: 23.7160, grad_norm: 15.0041 +2022-10-26 21:10:52,084 - mmdet - INFO - Epoch [22][1400/1849] lr: 2.000e-04, eta: 1:59:27, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9708, loss_bbox: 0.7640, loss_iou: 1.1389, d0.loss_cls: 2.0690, d0.loss_bbox: 0.8143, d0.loss_iou: 1.1998, d1.loss_cls: 2.0365, d1.loss_bbox: 0.7944, d1.loss_iou: 1.1780, d2.loss_cls: 2.0105, d2.loss_bbox: 0.7804, d2.loss_iou: 1.1569, d3.loss_cls: 1.9923, d3.loss_bbox: 0.7715, d3.loss_iou: 1.1472, d4.loss_cls: 1.9788, d4.loss_bbox: 0.7657, d4.loss_iou: 1.1415, loss: 23.7105, grad_norm: 13.6290 +2022-10-26 21:10:59,023 - mmdet - INFO - Epoch [22][1450/1849] lr: 2.000e-04, eta: 1:59:20, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9860, loss_bbox: 0.7673, loss_iou: 1.1455, d0.loss_cls: 2.0857, d0.loss_bbox: 0.8177, d0.loss_iou: 1.2066, d1.loss_cls: 2.0552, d1.loss_bbox: 0.7998, d1.loss_iou: 1.1846, d2.loss_cls: 2.0240, d2.loss_bbox: 0.7833, d2.loss_iou: 1.1650, d3.loss_cls: 2.0053, d3.loss_bbox: 0.7746, d3.loss_iou: 1.1535, d4.loss_cls: 1.9934, d4.loss_bbox: 0.7696, d4.loss_iou: 1.1485, loss: 23.8658, grad_norm: 15.9623 +2022-10-26 21:11:06,068 - mmdet - INFO - Epoch [22][1500/1849] lr: 2.000e-04, eta: 1:59:13, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9794, loss_bbox: 0.7664, loss_iou: 1.1426, d0.loss_cls: 2.0780, d0.loss_bbox: 0.8179, d0.loss_iou: 1.2034, d1.loss_cls: 2.0455, d1.loss_bbox: 0.7987, d1.loss_iou: 1.1817, d2.loss_cls: 2.0146, d2.loss_bbox: 0.7836, d2.loss_iou: 1.1623, d3.loss_cls: 1.9994, d3.loss_bbox: 0.7737, d3.loss_iou: 1.1519, d4.loss_cls: 1.9857, d4.loss_bbox: 0.7683, d4.loss_iou: 1.1456, loss: 23.7988, grad_norm: 14.8603 +2022-10-26 21:11:12,932 - mmdet - INFO - Epoch [22][1550/1849] lr: 2.000e-04, eta: 1:59:07, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9594, loss_bbox: 0.7654, loss_iou: 1.1356, d0.loss_cls: 2.0648, d0.loss_bbox: 0.8152, d0.loss_iou: 1.1966, d1.loss_cls: 2.0291, d1.loss_bbox: 0.7960, d1.loss_iou: 1.1753, d2.loss_cls: 1.9967, d2.loss_bbox: 0.7810, d2.loss_iou: 1.1538, d3.loss_cls: 1.9781, d3.loss_bbox: 0.7720, d3.loss_iou: 1.1437, d4.loss_cls: 1.9666, d4.loss_bbox: 0.7671, d4.loss_iou: 1.1379, loss: 23.6344, grad_norm: 14.5454 +2022-10-26 21:11:19,922 - mmdet - INFO - Epoch [22][1600/1849] lr: 2.000e-04, eta: 1:59:00, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9670, loss_bbox: 0.7640, loss_iou: 1.1395, d0.loss_cls: 2.0682, d0.loss_bbox: 0.8153, d0.loss_iou: 1.1996, d1.loss_cls: 2.0363, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1775, d2.loss_cls: 2.0055, d2.loss_bbox: 0.7797, d2.loss_iou: 1.1562, d3.loss_cls: 1.9877, d3.loss_bbox: 0.7707, d3.loss_iou: 1.1465, d4.loss_cls: 1.9738, d4.loss_bbox: 0.7655, d4.loss_iou: 1.1422, loss: 23.6902, grad_norm: 15.3877 +2022-10-26 21:11:26,996 - mmdet - INFO - Epoch [22][1650/1849] lr: 2.000e-04, eta: 1:58:53, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9480, loss_bbox: 0.7640, loss_iou: 1.1382, d0.loss_cls: 2.0471, d0.loss_bbox: 0.8145, d0.loss_iou: 1.1986, d1.loss_cls: 2.0127, d1.loss_bbox: 0.7972, d1.loss_iou: 1.1777, d2.loss_cls: 1.9865, d2.loss_bbox: 0.7801, d2.loss_iou: 1.1566, d3.loss_cls: 1.9694, d3.loss_bbox: 0.7714, d3.loss_iou: 1.1464, d4.loss_cls: 1.9561, d4.loss_bbox: 0.7658, d4.loss_iou: 1.1407, loss: 23.5711, grad_norm: 14.9164 +2022-10-26 21:11:34,024 - mmdet - INFO - Epoch [22][1700/1849] lr: 2.000e-04, eta: 1:58:47, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9625, loss_bbox: 0.7644, loss_iou: 1.1358, d0.loss_cls: 2.0621, d0.loss_bbox: 0.8163, d0.loss_iou: 1.1968, d1.loss_cls: 2.0253, d1.loss_bbox: 0.7960, d1.loss_iou: 1.1742, d2.loss_cls: 1.9985, d2.loss_bbox: 0.7810, d2.loss_iou: 1.1538, d3.loss_cls: 1.9803, d3.loss_bbox: 0.7722, d3.loss_iou: 1.1442, d4.loss_cls: 1.9679, d4.loss_bbox: 0.7666, d4.loss_iou: 1.1384, loss: 23.6362, grad_norm: 14.4472 +2022-10-26 21:11:41,012 - mmdet - INFO - Epoch [22][1750/1849] lr: 2.000e-04, eta: 1:58:40, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9722, loss_bbox: 0.7666, loss_iou: 1.1377, d0.loss_cls: 2.0748, d0.loss_bbox: 0.8173, d0.loss_iou: 1.1974, d1.loss_cls: 2.0408, d1.loss_bbox: 0.7983, d1.loss_iou: 1.1762, d2.loss_cls: 2.0077, d2.loss_bbox: 0.7830, d2.loss_iou: 1.1567, d3.loss_cls: 1.9924, d3.loss_bbox: 0.7735, d3.loss_iou: 1.1465, d4.loss_cls: 1.9801, d4.loss_bbox: 0.7679, d4.loss_iou: 1.1404, loss: 23.7294, grad_norm: 14.8926 +2022-10-26 21:11:47,857 - mmdet - INFO - Epoch [22][1800/1849] lr: 2.000e-04, eta: 1:58:33, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9623, loss_bbox: 0.7602, loss_iou: 1.1369, d0.loss_cls: 2.0639, d0.loss_bbox: 0.8120, d0.loss_iou: 1.1969, d1.loss_cls: 2.0294, d1.loss_bbox: 0.7913, d1.loss_iou: 1.1748, d2.loss_cls: 2.0010, d2.loss_bbox: 0.7764, d2.loss_iou: 1.1542, d3.loss_cls: 1.9814, d3.loss_bbox: 0.7667, d3.loss_iou: 1.1451, d4.loss_cls: 1.9687, d4.loss_bbox: 0.7617, d4.loss_iou: 1.1393, loss: 23.6222, grad_norm: 13.6239 +2022-10-26 21:11:55,052 - mmdet - INFO - Saving checkpoint at 22 epochs +2022-10-26 21:12:05,600 - mmdet - INFO - Epoch [23][50/1849] lr: 2.000e-04, eta: 1:58:15, time: 0.199, data_time: 0.065, memory: 4401, loss_cls: 1.9526, loss_bbox: 0.7590, loss_iou: 1.1335, d0.loss_cls: 2.0598, d0.loss_bbox: 0.8113, d0.loss_iou: 1.1960, d1.loss_cls: 2.0239, d1.loss_bbox: 0.7911, d1.loss_iou: 1.1729, d2.loss_cls: 1.9921, d2.loss_bbox: 0.7767, d2.loss_iou: 1.1521, d3.loss_cls: 1.9733, d3.loss_bbox: 0.7672, d3.loss_iou: 1.1414, d4.loss_cls: 1.9615, d4.loss_bbox: 0.7608, d4.loss_iou: 1.1360, loss: 23.5615, grad_norm: 16.3139 +2022-10-26 21:12:12,565 - mmdet - INFO - Epoch [23][100/1849] lr: 2.000e-04, eta: 1:58:08, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9622, loss_bbox: 0.7644, loss_iou: 1.1397, d0.loss_cls: 2.0627, d0.loss_bbox: 0.8166, d0.loss_iou: 1.2002, d1.loss_cls: 2.0298, d1.loss_bbox: 0.7984, d1.loss_iou: 1.1784, d2.loss_cls: 2.0006, d2.loss_bbox: 0.7828, d2.loss_iou: 1.1576, d3.loss_cls: 1.9814, d3.loss_bbox: 0.7729, d3.loss_iou: 1.1477, d4.loss_cls: 1.9686, d4.loss_bbox: 0.7668, d4.loss_iou: 1.1421, loss: 23.6728, grad_norm: 16.6152 +2022-10-26 21:12:19,676 - mmdet - INFO - Epoch [23][150/1849] lr: 2.000e-04, eta: 1:58:02, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9568, loss_bbox: 0.7599, loss_iou: 1.1352, d0.loss_cls: 2.0616, d0.loss_bbox: 0.8118, d0.loss_iou: 1.1957, d1.loss_cls: 2.0301, d1.loss_bbox: 0.7926, d1.loss_iou: 1.1729, d2.loss_cls: 1.9961, d2.loss_bbox: 0.7771, d2.loss_iou: 1.1531, d3.loss_cls: 1.9778, d3.loss_bbox: 0.7679, d3.loss_iou: 1.1437, d4.loss_cls: 1.9649, d4.loss_bbox: 0.7618, d4.loss_iou: 1.1376, loss: 23.5969, grad_norm: 14.6228 +2022-10-26 21:12:26,686 - mmdet - INFO - Epoch [23][200/1849] lr: 2.000e-04, eta: 1:57:55, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9540, loss_bbox: 0.7597, loss_iou: 1.1340, d0.loss_cls: 2.0559, d0.loss_bbox: 0.8114, d0.loss_iou: 1.1957, d1.loss_cls: 2.0220, d1.loss_bbox: 0.7929, d1.loss_iou: 1.1722, d2.loss_cls: 1.9895, d2.loss_bbox: 0.7775, d2.loss_iou: 1.1531, d3.loss_cls: 1.9713, d3.loss_bbox: 0.7673, d3.loss_iou: 1.1428, d4.loss_cls: 1.9610, d4.loss_bbox: 0.7619, d4.loss_iou: 1.1363, loss: 23.5585, grad_norm: 14.5521 +2022-10-26 21:12:33,811 - mmdet - INFO - Epoch [23][250/1849] lr: 2.000e-04, eta: 1:57:48, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9490, loss_bbox: 0.7625, loss_iou: 1.1426, d0.loss_cls: 2.0504, d0.loss_bbox: 0.8145, d0.loss_iou: 1.2017, d1.loss_cls: 2.0203, d1.loss_bbox: 0.7967, d1.loss_iou: 1.1815, d2.loss_cls: 1.9892, d2.loss_bbox: 0.7802, d2.loss_iou: 1.1602, d3.loss_cls: 1.9692, d3.loss_bbox: 0.7706, d3.loss_iou: 1.1515, d4.loss_cls: 1.9559, d4.loss_bbox: 0.7652, d4.loss_iou: 1.1447, loss: 23.6060, grad_norm: 14.8706 +2022-10-26 21:12:40,939 - mmdet - INFO - Epoch [23][300/1849] lr: 2.000e-04, eta: 1:57:42, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9555, loss_bbox: 0.7641, loss_iou: 1.1392, d0.loss_cls: 2.0568, d0.loss_bbox: 0.8146, d0.loss_iou: 1.2008, d1.loss_cls: 2.0261, d1.loss_bbox: 0.7957, d1.loss_iou: 1.1789, d2.loss_cls: 1.9954, d2.loss_bbox: 0.7812, d2.loss_iou: 1.1580, d3.loss_cls: 1.9775, d3.loss_bbox: 0.7713, d3.loss_iou: 1.1469, d4.loss_cls: 1.9631, d4.loss_bbox: 0.7659, d4.loss_iou: 1.1416, loss: 23.6327, grad_norm: 15.0990 +2022-10-26 21:12:48,025 - mmdet - INFO - Epoch [23][350/1849] lr: 2.000e-04, eta: 1:57:35, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9525, loss_bbox: 0.7641, loss_iou: 1.1395, d0.loss_cls: 2.0532, d0.loss_bbox: 0.8147, d0.loss_iou: 1.1993, d1.loss_cls: 2.0193, d1.loss_bbox: 0.7965, d1.loss_iou: 1.1787, d2.loss_cls: 1.9926, d2.loss_bbox: 0.7803, d2.loss_iou: 1.1579, d3.loss_cls: 1.9721, d3.loss_bbox: 0.7712, d3.loss_iou: 1.1478, d4.loss_cls: 1.9587, d4.loss_bbox: 0.7664, d4.loss_iou: 1.1421, loss: 23.6070, grad_norm: 15.2004 +2022-10-26 21:12:54,965 - mmdet - INFO - Epoch [23][400/1849] lr: 2.000e-04, eta: 1:57:28, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9443, loss_bbox: 0.7618, loss_iou: 1.1304, d0.loss_cls: 2.0501, d0.loss_bbox: 0.8118, d0.loss_iou: 1.1905, d1.loss_cls: 2.0152, d1.loss_bbox: 0.7938, d1.loss_iou: 1.1683, d2.loss_cls: 1.9811, d2.loss_bbox: 0.7783, d2.loss_iou: 1.1483, d3.loss_cls: 1.9655, d3.loss_bbox: 0.7694, d3.loss_iou: 1.1382, d4.loss_cls: 1.9513, d4.loss_bbox: 0.7632, d4.loss_iou: 1.1331, loss: 23.4946, grad_norm: 16.8612 +2022-10-26 21:13:02,013 - mmdet - INFO - Epoch [23][450/1849] lr: 2.000e-04, eta: 1:57:22, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9554, loss_bbox: 0.7649, loss_iou: 1.1352, d0.loss_cls: 2.0604, d0.loss_bbox: 0.8158, d0.loss_iou: 1.1974, d1.loss_cls: 2.0275, d1.loss_bbox: 0.7974, d1.loss_iou: 1.1742, d2.loss_cls: 1.9960, d2.loss_bbox: 0.7820, d2.loss_iou: 1.1541, d3.loss_cls: 1.9772, d3.loss_bbox: 0.7725, d3.loss_iou: 1.1437, d4.loss_cls: 1.9621, d4.loss_bbox: 0.7677, d4.loss_iou: 1.1381, loss: 23.6216, grad_norm: 15.2196 +2022-10-26 21:13:09,025 - mmdet - INFO - Epoch [23][500/1849] lr: 2.000e-04, eta: 1:57:15, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9560, loss_bbox: 0.7593, loss_iou: 1.1302, d0.loss_cls: 2.0635, d0.loss_bbox: 0.8100, d0.loss_iou: 1.1927, d1.loss_cls: 2.0284, d1.loss_bbox: 0.7921, d1.loss_iou: 1.1702, d2.loss_cls: 1.9989, d2.loss_bbox: 0.7761, d2.loss_iou: 1.1491, d3.loss_cls: 1.9760, d3.loss_bbox: 0.7661, d3.loss_iou: 1.1396, d4.loss_cls: 1.9618, d4.loss_bbox: 0.7612, d4.loss_iou: 1.1334, loss: 23.5644, grad_norm: 14.8411 +2022-10-26 21:13:15,998 - mmdet - INFO - Epoch [23][550/1849] lr: 2.000e-04, eta: 1:57:08, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9558, loss_bbox: 0.7638, loss_iou: 1.1368, d0.loss_cls: 2.0653, d0.loss_bbox: 0.8142, d0.loss_iou: 1.1977, d1.loss_cls: 2.0308, d1.loss_bbox: 0.7959, d1.loss_iou: 1.1750, d2.loss_cls: 2.0006, d2.loss_bbox: 0.7800, d2.loss_iou: 1.1550, d3.loss_cls: 1.9780, d3.loss_bbox: 0.7703, d3.loss_iou: 1.1453, d4.loss_cls: 1.9639, d4.loss_bbox: 0.7658, d4.loss_iou: 1.1388, loss: 23.6329, grad_norm: 16.3609 +2022-10-26 21:13:22,994 - mmdet - INFO - Epoch [23][600/1849] lr: 2.000e-04, eta: 1:57:02, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9510, loss_bbox: 0.7559, loss_iou: 1.1337, d0.loss_cls: 2.0521, d0.loss_bbox: 0.8073, d0.loss_iou: 1.1953, d1.loss_cls: 2.0219, d1.loss_bbox: 0.7881, d1.loss_iou: 1.1720, d2.loss_cls: 1.9900, d2.loss_bbox: 0.7730, d2.loss_iou: 1.1522, d3.loss_cls: 1.9755, d3.loss_bbox: 0.7633, d3.loss_iou: 1.1420, d4.loss_cls: 1.9574, d4.loss_bbox: 0.7575, d4.loss_iou: 1.1366, loss: 23.5250, grad_norm: 15.4528 +2022-10-26 21:13:29,991 - mmdet - INFO - Epoch [23][650/1849] lr: 2.000e-04, eta: 1:56:55, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9647, loss_bbox: 0.7601, loss_iou: 1.1364, d0.loss_cls: 2.0715, d0.loss_bbox: 0.8136, d0.loss_iou: 1.1998, d1.loss_cls: 2.0362, d1.loss_bbox: 0.7937, d1.loss_iou: 1.1760, d2.loss_cls: 2.0060, d2.loss_bbox: 0.7775, d2.loss_iou: 1.1551, d3.loss_cls: 1.9853, d3.loss_bbox: 0.7674, d3.loss_iou: 1.1463, d4.loss_cls: 1.9725, d4.loss_bbox: 0.7617, d4.loss_iou: 1.1392, loss: 23.6629, grad_norm: 16.9473 +2022-10-26 21:13:37,292 - mmdet - INFO - Epoch [23][700/1849] lr: 2.000e-04, eta: 1:56:49, time: 0.146, data_time: 0.005, memory: 4401, loss_cls: 1.9496, loss_bbox: 0.7545, loss_iou: 1.1291, d0.loss_cls: 2.0493, d0.loss_bbox: 0.8068, d0.loss_iou: 1.1917, d1.loss_cls: 2.0186, d1.loss_bbox: 0.7871, d1.loss_iou: 1.1701, d2.loss_cls: 1.9874, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1490, d3.loss_cls: 1.9685, d3.loss_bbox: 0.7606, d3.loss_iou: 1.1383, d4.loss_cls: 1.9554, d4.loss_bbox: 0.7560, d4.loss_iou: 1.1317, loss: 23.4746, grad_norm: 14.2784 +2022-10-26 21:13:44,326 - mmdet - INFO - Epoch [23][750/1849] lr: 2.000e-04, eta: 1:56:42, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9619, loss_bbox: 0.7626, loss_iou: 1.1337, d0.loss_cls: 2.0663, d0.loss_bbox: 0.8128, d0.loss_iou: 1.1948, d1.loss_cls: 2.0323, d1.loss_bbox: 0.7944, d1.loss_iou: 1.1717, d2.loss_cls: 1.9995, d2.loss_bbox: 0.7793, d2.loss_iou: 1.1524, d3.loss_cls: 1.9823, d3.loss_bbox: 0.7694, d3.loss_iou: 1.1425, d4.loss_cls: 1.9685, d4.loss_bbox: 0.7642, d4.loss_iou: 1.1361, loss: 23.6247, grad_norm: 15.2593 +2022-10-26 21:13:51,321 - mmdet - INFO - Epoch [23][800/1849] lr: 2.000e-04, eta: 1:56:35, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9516, loss_bbox: 0.7577, loss_iou: 1.1327, d0.loss_cls: 2.0536, d0.loss_bbox: 0.8087, d0.loss_iou: 1.1967, d1.loss_cls: 2.0222, d1.loss_bbox: 0.7888, d1.loss_iou: 1.1738, d2.loss_cls: 1.9907, d2.loss_bbox: 0.7736, d2.loss_iou: 1.1529, d3.loss_cls: 1.9711, d3.loss_bbox: 0.7649, d3.loss_iou: 1.1423, d4.loss_cls: 1.9607, d4.loss_bbox: 0.7591, d4.loss_iou: 1.1349, loss: 23.5361, grad_norm: 15.7445 +2022-10-26 21:13:58,390 - mmdet - INFO - Epoch [23][850/1849] lr: 2.000e-04, eta: 1:56:29, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9637, loss_bbox: 0.7629, loss_iou: 1.1379, d0.loss_cls: 2.0666, d0.loss_bbox: 0.8146, d0.loss_iou: 1.1986, d1.loss_cls: 2.0347, d1.loss_bbox: 0.7946, d1.loss_iou: 1.1769, d2.loss_cls: 2.0044, d2.loss_bbox: 0.7812, d2.loss_iou: 1.1566, d3.loss_cls: 1.9841, d3.loss_bbox: 0.7710, d3.loss_iou: 1.1468, d4.loss_cls: 1.9711, d4.loss_bbox: 0.7649, d4.loss_iou: 1.1404, loss: 23.6708, grad_norm: 14.9269 +2022-10-26 21:14:05,240 - mmdet - INFO - Epoch [23][900/1849] lr: 2.000e-04, eta: 1:56:22, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9634, loss_bbox: 0.7650, loss_iou: 1.1354, d0.loss_cls: 2.0650, d0.loss_bbox: 0.8168, d0.loss_iou: 1.1958, d1.loss_cls: 2.0364, d1.loss_bbox: 0.7976, d1.loss_iou: 1.1742, d2.loss_cls: 2.0055, d2.loss_bbox: 0.7812, d2.loss_iou: 1.1533, d3.loss_cls: 1.9853, d3.loss_bbox: 0.7717, d3.loss_iou: 1.1445, d4.loss_cls: 1.9736, d4.loss_bbox: 0.7667, d4.loss_iou: 1.1380, loss: 23.6691, grad_norm: 13.8153 +2022-10-26 21:14:12,359 - mmdet - INFO - Epoch [23][950/1849] lr: 2.000e-04, eta: 1:56:15, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9750, loss_bbox: 0.7640, loss_iou: 1.1381, d0.loss_cls: 2.0763, d0.loss_bbox: 0.8129, d0.loss_iou: 1.1962, d1.loss_cls: 2.0439, d1.loss_bbox: 0.7937, d1.loss_iou: 1.1759, d2.loss_cls: 2.0124, d2.loss_bbox: 0.7797, d2.loss_iou: 1.1559, d3.loss_cls: 1.9959, d3.loss_bbox: 0.7711, d3.loss_iou: 1.1465, d4.loss_cls: 1.9824, d4.loss_bbox: 0.7659, d4.loss_iou: 1.1408, loss: 23.7266, grad_norm: 15.2662 +2022-10-26 21:14:19,421 - mmdet - INFO - Epoch [23][1000/1849] lr: 2.000e-04, eta: 1:56:09, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9632, loss_bbox: 0.7615, loss_iou: 1.1382, d0.loss_cls: 2.0655, d0.loss_bbox: 0.8138, d0.loss_iou: 1.1979, d1.loss_cls: 2.0333, d1.loss_bbox: 0.7940, d1.loss_iou: 1.1775, d2.loss_cls: 2.0029, d2.loss_bbox: 0.7787, d2.loss_iou: 1.1566, d3.loss_cls: 1.9837, d3.loss_bbox: 0.7689, d3.loss_iou: 1.1466, d4.loss_cls: 1.9716, d4.loss_bbox: 0.7634, d4.loss_iou: 1.1408, loss: 23.6580, grad_norm: 16.6120 +2022-10-26 21:14:26,498 - mmdet - INFO - Epoch [23][1050/1849] lr: 2.000e-04, eta: 1:56:02, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9623, loss_bbox: 0.7631, loss_iou: 1.1405, d0.loss_cls: 2.0623, d0.loss_bbox: 0.8155, d0.loss_iou: 1.2015, d1.loss_cls: 2.0336, d1.loss_bbox: 0.7962, d1.loss_iou: 1.1797, d2.loss_cls: 2.0005, d2.loss_bbox: 0.7802, d2.loss_iou: 1.1580, d3.loss_cls: 1.9832, d3.loss_bbox: 0.7713, d3.loss_iou: 1.1488, d4.loss_cls: 1.9691, d4.loss_bbox: 0.7654, d4.loss_iou: 1.1431, loss: 23.6743, grad_norm: 15.5861 +2022-10-26 21:14:33,400 - mmdet - INFO - Epoch [23][1100/1849] lr: 2.000e-04, eta: 1:55:55, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9594, loss_bbox: 0.7588, loss_iou: 1.1338, d0.loss_cls: 2.0612, d0.loss_bbox: 0.8097, d0.loss_iou: 1.1957, d1.loss_cls: 2.0270, d1.loss_bbox: 0.7909, d1.loss_iou: 1.1733, d2.loss_cls: 1.9990, d2.loss_bbox: 0.7758, d2.loss_iou: 1.1525, d3.loss_cls: 1.9794, d3.loss_bbox: 0.7667, d3.loss_iou: 1.1422, d4.loss_cls: 1.9663, d4.loss_bbox: 0.7613, d4.loss_iou: 1.1364, loss: 23.5895, grad_norm: 15.0873 +2022-10-26 21:14:40,125 - mmdet - INFO - Epoch [23][1150/1849] lr: 2.000e-04, eta: 1:55:48, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9613, loss_bbox: 0.7620, loss_iou: 1.1358, d0.loss_cls: 2.0668, d0.loss_bbox: 0.8132, d0.loss_iou: 1.1982, d1.loss_cls: 2.0327, d1.loss_bbox: 0.7945, d1.loss_iou: 1.1753, d2.loss_cls: 2.0007, d2.loss_bbox: 0.7794, d2.loss_iou: 1.1535, d3.loss_cls: 1.9819, d3.loss_bbox: 0.7695, d3.loss_iou: 1.1441, d4.loss_cls: 1.9691, d4.loss_bbox: 0.7641, d4.loss_iou: 1.1381, loss: 23.6402, grad_norm: 16.4985 +2022-10-26 21:14:47,040 - mmdet - INFO - Epoch [23][1200/1849] lr: 2.000e-04, eta: 1:55:41, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9625, loss_bbox: 0.7585, loss_iou: 1.1300, d0.loss_cls: 2.0634, d0.loss_bbox: 0.8099, d0.loss_iou: 1.1936, d1.loss_cls: 2.0343, d1.loss_bbox: 0.7906, d1.loss_iou: 1.1702, d2.loss_cls: 2.0044, d2.loss_bbox: 0.7761, d2.loss_iou: 1.1497, d3.loss_cls: 1.9846, d3.loss_bbox: 0.7661, d3.loss_iou: 1.1398, d4.loss_cls: 1.9702, d4.loss_bbox: 0.7602, d4.loss_iou: 1.1327, loss: 23.5968, grad_norm: 14.0971 +2022-10-26 21:14:54,086 - mmdet - INFO - Epoch [23][1250/1849] lr: 2.000e-04, eta: 1:55:35, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9703, loss_bbox: 0.7661, loss_iou: 1.1395, d0.loss_cls: 2.0727, d0.loss_bbox: 0.8182, d0.loss_iou: 1.2003, d1.loss_cls: 2.0415, d1.loss_bbox: 0.7979, d1.loss_iou: 1.1780, d2.loss_cls: 2.0088, d2.loss_bbox: 0.7831, d2.loss_iou: 1.1578, d3.loss_cls: 1.9900, d3.loss_bbox: 0.7735, d3.loss_iou: 1.1477, d4.loss_cls: 1.9742, d4.loss_bbox: 0.7682, d4.loss_iou: 1.1418, loss: 23.7295, grad_norm: 16.7717 +2022-10-26 21:15:01,127 - mmdet - INFO - Epoch [23][1300/1849] lr: 2.000e-04, eta: 1:55:28, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9556, loss_bbox: 0.7688, loss_iou: 1.1439, d0.loss_cls: 2.0581, d0.loss_bbox: 0.8181, d0.loss_iou: 1.2053, d1.loss_cls: 2.0263, d1.loss_bbox: 0.7997, d1.loss_iou: 1.1822, d2.loss_cls: 1.9982, d2.loss_bbox: 0.7839, d2.loss_iou: 1.1621, d3.loss_cls: 1.9775, d3.loss_bbox: 0.7763, d3.loss_iou: 1.1532, d4.loss_cls: 1.9641, d4.loss_bbox: 0.7702, d4.loss_iou: 1.1467, loss: 23.6901, grad_norm: 16.4127 +2022-10-26 21:15:08,190 - mmdet - INFO - Epoch [23][1350/1849] lr: 2.000e-04, eta: 1:55:22, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9652, loss_bbox: 0.7613, loss_iou: 1.1296, d0.loss_cls: 2.0616, d0.loss_bbox: 0.8121, d0.loss_iou: 1.1908, d1.loss_cls: 2.0337, d1.loss_bbox: 0.7930, d1.loss_iou: 1.1695, d2.loss_cls: 2.0011, d2.loss_bbox: 0.7768, d2.loss_iou: 1.1491, d3.loss_cls: 1.9838, d3.loss_bbox: 0.7689, d3.loss_iou: 1.1375, d4.loss_cls: 1.9717, d4.loss_bbox: 0.7629, d4.loss_iou: 1.1314, loss: 23.6000, grad_norm: 15.0867 +2022-10-26 21:15:15,138 - mmdet - INFO - Epoch [23][1400/1849] lr: 2.000e-04, eta: 1:55:15, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9723, loss_bbox: 0.7610, loss_iou: 1.1370, d0.loss_cls: 2.0706, d0.loss_bbox: 0.8129, d0.loss_iou: 1.1986, d1.loss_cls: 2.0384, d1.loss_bbox: 0.7935, d1.loss_iou: 1.1761, d2.loss_cls: 2.0067, d2.loss_bbox: 0.7781, d2.loss_iou: 1.1559, d3.loss_cls: 1.9932, d3.loss_bbox: 0.7682, d3.loss_iou: 1.1466, d4.loss_cls: 1.9783, d4.loss_bbox: 0.7629, d4.loss_iou: 1.1396, loss: 23.6899, grad_norm: 15.5529 +2022-10-26 21:15:22,214 - mmdet - INFO - Epoch [23][1450/1849] lr: 2.000e-04, eta: 1:55:08, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9681, loss_bbox: 0.7624, loss_iou: 1.1304, d0.loss_cls: 2.0706, d0.loss_bbox: 0.8148, d0.loss_iou: 1.1928, d1.loss_cls: 2.0363, d1.loss_bbox: 0.7959, d1.loss_iou: 1.1708, d2.loss_cls: 2.0066, d2.loss_bbox: 0.7804, d2.loss_iou: 1.1499, d3.loss_cls: 1.9892, d3.loss_bbox: 0.7704, d3.loss_iou: 1.1392, d4.loss_cls: 1.9751, d4.loss_bbox: 0.7641, d4.loss_iou: 1.1336, loss: 23.6509, grad_norm: 15.5220 +2022-10-26 21:15:29,163 - mmdet - INFO - Epoch [23][1500/1849] lr: 2.000e-04, eta: 1:55:01, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9590, loss_bbox: 0.7616, loss_iou: 1.1443, d0.loss_cls: 2.0579, d0.loss_bbox: 0.8105, d0.loss_iou: 1.2029, d1.loss_cls: 2.0257, d1.loss_bbox: 0.7936, d1.loss_iou: 1.1809, d2.loss_cls: 1.9960, d2.loss_bbox: 0.7786, d2.loss_iou: 1.1614, d3.loss_cls: 1.9770, d3.loss_bbox: 0.7692, d3.loss_iou: 1.1520, d4.loss_cls: 1.9647, d4.loss_bbox: 0.7636, d4.loss_iou: 1.1461, loss: 23.6449, grad_norm: 14.6781 +2022-10-26 21:15:35,981 - mmdet - INFO - Epoch [23][1550/1849] lr: 2.000e-04, eta: 1:54:55, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9859, loss_bbox: 0.7622, loss_iou: 1.1318, d0.loss_cls: 2.0896, d0.loss_bbox: 0.8133, d0.loss_iou: 1.1929, d1.loss_cls: 2.0585, d1.loss_bbox: 0.7941, d1.loss_iou: 1.1716, d2.loss_cls: 2.0254, d2.loss_bbox: 0.7789, d2.loss_iou: 1.1515, d3.loss_cls: 2.0043, d3.loss_bbox: 0.7703, d3.loss_iou: 1.1405, d4.loss_cls: 1.9907, d4.loss_bbox: 0.7637, d4.loss_iou: 1.1344, loss: 23.7594, grad_norm: 14.5237 +2022-10-26 21:15:42,934 - mmdet - INFO - Epoch [23][1600/1849] lr: 2.000e-04, eta: 1:54:48, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9674, loss_bbox: 0.7604, loss_iou: 1.1361, d0.loss_cls: 2.0741, d0.loss_bbox: 0.8123, d0.loss_iou: 1.1982, d1.loss_cls: 2.0402, d1.loss_bbox: 0.7926, d1.loss_iou: 1.1759, d2.loss_cls: 2.0093, d2.loss_bbox: 0.7775, d2.loss_iou: 1.1546, d3.loss_cls: 1.9893, d3.loss_bbox: 0.7678, d3.loss_iou: 1.1442, d4.loss_cls: 1.9761, d4.loss_bbox: 0.7623, d4.loss_iou: 1.1383, loss: 23.6767, grad_norm: 14.3048 +2022-10-26 21:15:49,848 - mmdet - INFO - Epoch [23][1650/1849] lr: 2.000e-04, eta: 1:54:41, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9632, loss_bbox: 0.7617, loss_iou: 1.1384, d0.loss_cls: 2.0624, d0.loss_bbox: 0.8144, d0.loss_iou: 1.2006, d1.loss_cls: 2.0317, d1.loss_bbox: 0.7939, d1.loss_iou: 1.1796, d2.loss_cls: 2.0009, d2.loss_bbox: 0.7789, d2.loss_iou: 1.1575, d3.loss_cls: 1.9839, d3.loss_bbox: 0.7687, d3.loss_iou: 1.1474, d4.loss_cls: 1.9695, d4.loss_bbox: 0.7635, d4.loss_iou: 1.1410, loss: 23.6571, grad_norm: 15.3608 +2022-10-26 21:15:56,774 - mmdet - INFO - Epoch [23][1700/1849] lr: 2.000e-04, eta: 1:54:34, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9777, loss_bbox: 0.7699, loss_iou: 1.1419, d0.loss_cls: 2.0743, d0.loss_bbox: 0.8189, d0.loss_iou: 1.2007, d1.loss_cls: 2.0475, d1.loss_bbox: 0.8017, d1.loss_iou: 1.1797, d2.loss_cls: 2.0177, d2.loss_bbox: 0.7864, d2.loss_iou: 1.1595, d3.loss_cls: 1.9988, d3.loss_bbox: 0.7769, d3.loss_iou: 1.1502, d4.loss_cls: 1.9864, d4.loss_bbox: 0.7724, d4.loss_iou: 1.1439, loss: 23.8045, grad_norm: 16.6181 +2022-10-26 21:16:03,773 - mmdet - INFO - Epoch [23][1750/1849] lr: 2.000e-04, eta: 1:54:27, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9703, loss_bbox: 0.7626, loss_iou: 1.1353, d0.loss_cls: 2.0717, d0.loss_bbox: 0.8143, d0.loss_iou: 1.1961, d1.loss_cls: 2.0386, d1.loss_bbox: 0.7957, d1.loss_iou: 1.1742, d2.loss_cls: 2.0082, d2.loss_bbox: 0.7791, d2.loss_iou: 1.1536, d3.loss_cls: 1.9905, d3.loss_bbox: 0.7703, d3.loss_iou: 1.1432, d4.loss_cls: 1.9758, d4.loss_bbox: 0.7645, d4.loss_iou: 1.1378, loss: 23.6817, grad_norm: 14.5006 +2022-10-26 21:16:10,845 - mmdet - INFO - Epoch [23][1800/1849] lr: 2.000e-04, eta: 1:54:21, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9689, loss_bbox: 0.7662, loss_iou: 1.1381, d0.loss_cls: 2.0683, d0.loss_bbox: 0.8172, d0.loss_iou: 1.2000, d1.loss_cls: 2.0376, d1.loss_bbox: 0.7978, d1.loss_iou: 1.1776, d2.loss_cls: 2.0084, d2.loss_bbox: 0.7829, d2.loss_iou: 1.1569, d3.loss_cls: 1.9901, d3.loss_bbox: 0.7734, d3.loss_iou: 1.1469, d4.loss_cls: 1.9765, d4.loss_bbox: 0.7681, d4.loss_iou: 1.1407, loss: 23.7157, grad_norm: 16.0578 +2022-10-26 21:16:17,984 - mmdet - INFO - Saving checkpoint at 23 epochs +2022-10-26 21:16:28,376 - mmdet - INFO - Epoch [24][50/1849] lr: 2.000e-04, eta: 1:54:03, time: 0.195, data_time: 0.063, memory: 4401, loss_cls: 1.9526, loss_bbox: 0.7601, loss_iou: 1.1378, d0.loss_cls: 2.0555, d0.loss_bbox: 0.8126, d0.loss_iou: 1.1994, d1.loss_cls: 2.0267, d1.loss_bbox: 0.7925, d1.loss_iou: 1.1765, d2.loss_cls: 1.9926, d2.loss_bbox: 0.7774, d2.loss_iou: 1.1564, d3.loss_cls: 1.9724, d3.loss_bbox: 0.7677, d3.loss_iou: 1.1470, d4.loss_cls: 1.9585, d4.loss_bbox: 0.7627, d4.loss_iou: 1.1406, loss: 23.5890, grad_norm: 15.2126 +2022-10-26 21:16:35,828 - mmdet - INFO - Epoch [24][100/1849] lr: 2.000e-04, eta: 1:53:57, time: 0.149, data_time: 0.005, memory: 4401, loss_cls: 1.9332, loss_bbox: 0.7598, loss_iou: 1.1334, d0.loss_cls: 2.0358, d0.loss_bbox: 0.8106, d0.loss_iou: 1.1943, d1.loss_cls: 2.0035, d1.loss_bbox: 0.7924, d1.loss_iou: 1.1728, d2.loss_cls: 1.9738, d2.loss_bbox: 0.7768, d2.loss_iou: 1.1527, d3.loss_cls: 1.9513, d3.loss_bbox: 0.7675, d3.loss_iou: 1.1422, d4.loss_cls: 1.9391, d4.loss_bbox: 0.7615, d4.loss_iou: 1.1358, loss: 23.4366, grad_norm: 15.2541 +2022-10-26 21:16:42,965 - mmdet - INFO - Epoch [24][150/1849] lr: 2.000e-04, eta: 1:53:50, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9534, loss_bbox: 0.7579, loss_iou: 1.1282, d0.loss_cls: 2.0603, d0.loss_bbox: 0.8107, d0.loss_iou: 1.1907, d1.loss_cls: 2.0261, d1.loss_bbox: 0.7909, d1.loss_iou: 1.1682, d2.loss_cls: 1.9924, d2.loss_bbox: 0.7758, d2.loss_iou: 1.1470, d3.loss_cls: 1.9748, d3.loss_bbox: 0.7653, d3.loss_iou: 1.1360, d4.loss_cls: 1.9613, d4.loss_bbox: 0.7600, d4.loss_iou: 1.1299, loss: 23.5289, grad_norm: 13.8461 +2022-10-26 21:16:49,791 - mmdet - INFO - Epoch [24][200/1849] lr: 2.000e-04, eta: 1:53:43, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9610, loss_bbox: 0.7641, loss_iou: 1.1340, d0.loss_cls: 2.0635, d0.loss_bbox: 0.8148, d0.loss_iou: 1.1966, d1.loss_cls: 2.0320, d1.loss_bbox: 0.7954, d1.loss_iou: 1.1743, d2.loss_cls: 2.0002, d2.loss_bbox: 0.7811, d2.loss_iou: 1.1530, d3.loss_cls: 1.9829, d3.loss_bbox: 0.7721, d3.loss_iou: 1.1431, d4.loss_cls: 1.9686, d4.loss_bbox: 0.7664, d4.loss_iou: 1.1370, loss: 23.6401, grad_norm: 14.3822 +2022-10-26 21:16:56,692 - mmdet - INFO - Epoch [24][250/1849] lr: 2.000e-04, eta: 1:53:36, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9607, loss_bbox: 0.7656, loss_iou: 1.1387, d0.loss_cls: 2.0622, d0.loss_bbox: 0.8175, d0.loss_iou: 1.2008, d1.loss_cls: 2.0314, d1.loss_bbox: 0.7993, d1.loss_iou: 1.1787, d2.loss_cls: 2.0007, d2.loss_bbox: 0.7829, d2.loss_iou: 1.1585, d3.loss_cls: 1.9834, d3.loss_bbox: 0.7729, d3.loss_iou: 1.1483, d4.loss_cls: 1.9697, d4.loss_bbox: 0.7674, d4.loss_iou: 1.1413, loss: 23.6798, grad_norm: 18.0377 +2022-10-26 21:17:03,783 - mmdet - INFO - Epoch [24][300/1849] lr: 2.000e-04, eta: 1:53:30, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9474, loss_bbox: 0.7577, loss_iou: 1.1315, d0.loss_cls: 2.0478, d0.loss_bbox: 0.8095, d0.loss_iou: 1.1951, d1.loss_cls: 2.0169, d1.loss_bbox: 0.7912, d1.loss_iou: 1.1718, d2.loss_cls: 1.9859, d2.loss_bbox: 0.7748, d2.loss_iou: 1.1513, d3.loss_cls: 1.9682, d3.loss_bbox: 0.7651, d3.loss_iou: 1.1409, d4.loss_cls: 1.9558, d4.loss_bbox: 0.7596, d4.loss_iou: 1.1343, loss: 23.5047, grad_norm: 15.1519 +2022-10-26 21:17:10,811 - mmdet - INFO - Epoch [24][350/1849] lr: 2.000e-04, eta: 1:53:23, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9602, loss_bbox: 0.7631, loss_iou: 1.1354, d0.loss_cls: 2.0662, d0.loss_bbox: 0.8147, d0.loss_iou: 1.1985, d1.loss_cls: 2.0323, d1.loss_bbox: 0.7956, d1.loss_iou: 1.1757, d2.loss_cls: 1.9992, d2.loss_bbox: 0.7798, d2.loss_iou: 1.1549, d3.loss_cls: 1.9803, d3.loss_bbox: 0.7710, d3.loss_iou: 1.1444, d4.loss_cls: 1.9675, d4.loss_bbox: 0.7646, d4.loss_iou: 1.1384, loss: 23.6418, grad_norm: 14.1325 +2022-10-26 21:17:17,904 - mmdet - INFO - Epoch [24][400/1849] lr: 2.000e-04, eta: 1:53:16, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9641, loss_bbox: 0.7624, loss_iou: 1.1351, d0.loss_cls: 2.0664, d0.loss_bbox: 0.8147, d0.loss_iou: 1.1972, d1.loss_cls: 2.0335, d1.loss_bbox: 0.7943, d1.loss_iou: 1.1728, d2.loss_cls: 2.0031, d2.loss_bbox: 0.7788, d2.loss_iou: 1.1534, d3.loss_cls: 1.9829, d3.loss_bbox: 0.7701, d3.loss_iou: 1.1431, d4.loss_cls: 1.9721, d4.loss_bbox: 0.7645, d4.loss_iou: 1.1374, loss: 23.6459, grad_norm: 14.8308 +2022-10-26 21:17:24,721 - mmdet - INFO - Epoch [24][450/1849] lr: 2.000e-04, eta: 1:53:10, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9574, loss_bbox: 0.7634, loss_iou: 1.1412, d0.loss_cls: 2.0628, d0.loss_bbox: 0.8151, d0.loss_iou: 1.2031, d1.loss_cls: 2.0305, d1.loss_bbox: 0.7965, d1.loss_iou: 1.1809, d2.loss_cls: 1.9958, d2.loss_bbox: 0.7809, d2.loss_iou: 1.1603, d3.loss_cls: 1.9800, d3.loss_bbox: 0.7711, d3.loss_iou: 1.1497, d4.loss_cls: 1.9656, d4.loss_bbox: 0.7654, d4.loss_iou: 1.1437, loss: 23.6634, grad_norm: 15.6069 +2022-10-26 21:17:31,670 - mmdet - INFO - Epoch [24][500/1849] lr: 2.000e-04, eta: 1:53:03, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9542, loss_bbox: 0.7564, loss_iou: 1.1347, d0.loss_cls: 2.0567, d0.loss_bbox: 0.8076, d0.loss_iou: 1.1971, d1.loss_cls: 2.0237, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1740, d2.loss_cls: 1.9936, d2.loss_bbox: 0.7730, d2.loss_iou: 1.1537, d3.loss_cls: 1.9742, d3.loss_bbox: 0.7637, d3.loss_iou: 1.1444, d4.loss_cls: 1.9627, d4.loss_bbox: 0.7581, d4.loss_iou: 1.1372, loss: 23.5524, grad_norm: 16.2383 +2022-10-26 21:17:38,520 - mmdet - INFO - Epoch [24][550/1849] lr: 2.000e-04, eta: 1:52:56, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9516, loss_bbox: 0.7624, loss_iou: 1.1359, d0.loss_cls: 2.0558, d0.loss_bbox: 0.8151, d0.loss_iou: 1.1982, d1.loss_cls: 2.0197, d1.loss_bbox: 0.7950, d1.loss_iou: 1.1759, d2.loss_cls: 1.9923, d2.loss_bbox: 0.7796, d2.loss_iou: 1.1552, d3.loss_cls: 1.9736, d3.loss_bbox: 0.7703, d3.loss_iou: 1.1450, d4.loss_cls: 1.9586, d4.loss_bbox: 0.7644, d4.loss_iou: 1.1385, loss: 23.5871, grad_norm: 15.4274 +2022-10-26 21:17:45,433 - mmdet - INFO - Epoch [24][600/1849] lr: 2.000e-04, eta: 1:52:49, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9501, loss_bbox: 0.7606, loss_iou: 1.1359, d0.loss_cls: 2.0550, d0.loss_bbox: 0.8122, d0.loss_iou: 1.1975, d1.loss_cls: 2.0203, d1.loss_bbox: 0.7928, d1.loss_iou: 1.1752, d2.loss_cls: 1.9884, d2.loss_bbox: 0.7778, d2.loss_iou: 1.1546, d3.loss_cls: 1.9703, d3.loss_bbox: 0.7684, d3.loss_iou: 1.1453, d4.loss_cls: 1.9589, d4.loss_bbox: 0.7622, d4.loss_iou: 1.1387, loss: 23.5642, grad_norm: 16.0670 +2022-10-26 21:17:52,502 - mmdet - INFO - Epoch [24][650/1849] lr: 2.000e-04, eta: 1:52:42, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9645, loss_bbox: 0.7619, loss_iou: 1.1399, d0.loss_cls: 2.0728, d0.loss_bbox: 0.8141, d0.loss_iou: 1.2008, d1.loss_cls: 2.0340, d1.loss_bbox: 0.7952, d1.loss_iou: 1.1795, d2.loss_cls: 2.0019, d2.loss_bbox: 0.7799, d2.loss_iou: 1.1581, d3.loss_cls: 1.9854, d3.loss_bbox: 0.7693, d3.loss_iou: 1.1485, d4.loss_cls: 1.9729, d4.loss_bbox: 0.7638, d4.loss_iou: 1.1419, loss: 23.6845, grad_norm: 14.7284 +2022-10-26 21:17:59,278 - mmdet - INFO - Epoch [24][700/1849] lr: 2.000e-04, eta: 1:52:36, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9706, loss_bbox: 0.7647, loss_iou: 1.1373, d0.loss_cls: 2.0753, d0.loss_bbox: 0.8173, d0.loss_iou: 1.1985, d1.loss_cls: 2.0433, d1.loss_bbox: 0.7984, d1.loss_iou: 1.1766, d2.loss_cls: 2.0109, d2.loss_bbox: 0.7828, d2.loss_iou: 1.1565, d3.loss_cls: 1.9933, d3.loss_bbox: 0.7723, d3.loss_iou: 1.1455, d4.loss_cls: 1.9785, d4.loss_bbox: 0.7664, d4.loss_iou: 1.1395, loss: 23.7276, grad_norm: 14.4830 +2022-10-26 21:18:06,408 - mmdet - INFO - Epoch [24][750/1849] lr: 2.000e-04, eta: 1:52:29, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9753, loss_bbox: 0.7665, loss_iou: 1.1371, d0.loss_cls: 2.0791, d0.loss_bbox: 0.8188, d0.loss_iou: 1.1987, d1.loss_cls: 2.0480, d1.loss_bbox: 0.7987, d1.loss_iou: 1.1770, d2.loss_cls: 2.0182, d2.loss_bbox: 0.7837, d2.loss_iou: 1.1560, d3.loss_cls: 1.9965, d3.loss_bbox: 0.7737, d3.loss_iou: 1.1459, d4.loss_cls: 1.9835, d4.loss_bbox: 0.7684, d4.loss_iou: 1.1391, loss: 23.7642, grad_norm: 16.9383 +2022-10-26 21:18:13,504 - mmdet - INFO - Epoch [24][800/1849] lr: 2.000e-04, eta: 1:52:22, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9504, loss_bbox: 0.7576, loss_iou: 1.1324, d0.loss_cls: 2.0540, d0.loss_bbox: 0.8117, d0.loss_iou: 1.1954, d1.loss_cls: 2.0210, d1.loss_bbox: 0.7905, d1.loss_iou: 1.1725, d2.loss_cls: 1.9903, d2.loss_bbox: 0.7752, d2.loss_iou: 1.1518, d3.loss_cls: 1.9717, d3.loss_bbox: 0.7647, d3.loss_iou: 1.1414, d4.loss_cls: 1.9579, d4.loss_bbox: 0.7594, d4.loss_iou: 1.1350, loss: 23.5329, grad_norm: 16.0277 +2022-10-26 21:18:20,626 - mmdet - INFO - Epoch [24][850/1849] lr: 2.000e-04, eta: 1:52:16, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9570, loss_bbox: 0.7645, loss_iou: 1.1415, d0.loss_cls: 2.0618, d0.loss_bbox: 0.8178, d0.loss_iou: 1.2035, d1.loss_cls: 2.0266, d1.loss_bbox: 0.7982, d1.loss_iou: 1.1799, d2.loss_cls: 1.9948, d2.loss_bbox: 0.7831, d2.loss_iou: 1.1605, d3.loss_cls: 1.9787, d3.loss_bbox: 0.7727, d3.loss_iou: 1.1507, d4.loss_cls: 1.9643, d4.loss_bbox: 0.7668, d4.loss_iou: 1.1440, loss: 23.6664, grad_norm: 14.3686 +2022-10-26 21:18:27,615 - mmdet - INFO - Epoch [24][900/1849] lr: 2.000e-04, eta: 1:52:09, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9721, loss_bbox: 0.7628, loss_iou: 1.1380, d0.loss_cls: 2.0767, d0.loss_bbox: 0.8155, d0.loss_iou: 1.2019, d1.loss_cls: 2.0433, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1775, d2.loss_cls: 2.0100, d2.loss_bbox: 0.7801, d2.loss_iou: 1.1573, d3.loss_cls: 1.9926, d3.loss_bbox: 0.7704, d3.loss_iou: 1.1469, d4.loss_cls: 1.9807, d4.loss_bbox: 0.7650, d4.loss_iou: 1.1405, loss: 23.7263, grad_norm: 15.7098 +2022-10-26 21:18:34,630 - mmdet - INFO - Epoch [24][950/1849] lr: 2.000e-04, eta: 1:52:02, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9701, loss_bbox: 0.7624, loss_iou: 1.1323, d0.loss_cls: 2.0732, d0.loss_bbox: 0.8140, d0.loss_iou: 1.1949, d1.loss_cls: 2.0419, d1.loss_bbox: 0.7944, d1.loss_iou: 1.1720, d2.loss_cls: 2.0092, d2.loss_bbox: 0.7801, d2.loss_iou: 1.1509, d3.loss_cls: 1.9909, d3.loss_bbox: 0.7702, d3.loss_iou: 1.1406, d4.loss_cls: 1.9794, d4.loss_bbox: 0.7644, d4.loss_iou: 1.1345, loss: 23.6756, grad_norm: 15.9402 +2022-10-26 21:18:41,533 - mmdet - INFO - Epoch [24][1000/1849] lr: 2.000e-04, eta: 1:51:56, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9409, loss_bbox: 0.7553, loss_iou: 1.1326, d0.loss_cls: 2.0454, d0.loss_bbox: 0.8065, d0.loss_iou: 1.1944, d1.loss_cls: 2.0102, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1725, d2.loss_cls: 1.9768, d2.loss_bbox: 0.7718, d2.loss_iou: 1.1518, d3.loss_cls: 1.9572, d3.loss_bbox: 0.7618, d3.loss_iou: 1.1422, d4.loss_cls: 1.9469, d4.loss_bbox: 0.7565, d4.loss_iou: 1.1359, loss: 23.4460, grad_norm: 14.8706 +2022-10-26 21:18:48,545 - mmdet - INFO - Epoch [24][1050/1849] lr: 2.000e-04, eta: 1:51:49, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9675, loss_bbox: 0.7662, loss_iou: 1.1385, d0.loss_cls: 2.0676, d0.loss_bbox: 0.8174, d0.loss_iou: 1.1993, d1.loss_cls: 2.0321, d1.loss_bbox: 0.7986, d1.loss_iou: 1.1779, d2.loss_cls: 2.0051, d2.loss_bbox: 0.7827, d2.loss_iou: 1.1572, d3.loss_cls: 1.9861, d3.loss_bbox: 0.7740, d3.loss_iou: 1.1468, d4.loss_cls: 1.9748, d4.loss_bbox: 0.7685, d4.loss_iou: 1.1410, loss: 23.7013, grad_norm: 15.2374 +2022-10-26 21:18:55,415 - mmdet - INFO - Epoch [24][1100/1849] lr: 2.000e-04, eta: 1:51:42, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9650, loss_bbox: 0.7574, loss_iou: 1.1361, d0.loss_cls: 2.0672, d0.loss_bbox: 0.8094, d0.loss_iou: 1.1974, d1.loss_cls: 2.0343, d1.loss_bbox: 0.7902, d1.loss_iou: 1.1741, d2.loss_cls: 2.0038, d2.loss_bbox: 0.7742, d2.loss_iou: 1.1551, d3.loss_cls: 1.9867, d3.loss_bbox: 0.7650, d3.loss_iou: 1.1450, d4.loss_cls: 1.9717, d4.loss_bbox: 0.7594, d4.loss_iou: 1.1390, loss: 23.6310, grad_norm: 15.4144 +2022-10-26 21:19:02,230 - mmdet - INFO - Epoch [24][1150/1849] lr: 2.000e-04, eta: 1:51:35, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9699, loss_bbox: 0.7639, loss_iou: 1.1366, d0.loss_cls: 2.0726, d0.loss_bbox: 0.8158, d0.loss_iou: 1.1983, d1.loss_cls: 2.0417, d1.loss_bbox: 0.7959, d1.loss_iou: 1.1743, d2.loss_cls: 2.0104, d2.loss_bbox: 0.7802, d2.loss_iou: 1.1545, d3.loss_cls: 1.9922, d3.loss_bbox: 0.7714, d3.loss_iou: 1.1445, d4.loss_cls: 1.9772, d4.loss_bbox: 0.7658, d4.loss_iou: 1.1393, loss: 23.7047, grad_norm: 15.0663 +2022-10-26 21:19:08,901 - mmdet - INFO - Epoch [24][1200/1849] lr: 2.000e-04, eta: 1:51:28, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.9602, loss_bbox: 0.7594, loss_iou: 1.1320, d0.loss_cls: 2.0606, d0.loss_bbox: 0.8130, d0.loss_iou: 1.1958, d1.loss_cls: 2.0276, d1.loss_bbox: 0.7919, d1.loss_iou: 1.1721, d2.loss_cls: 1.9997, d2.loss_bbox: 0.7767, d2.loss_iou: 1.1500, d3.loss_cls: 1.9808, d3.loss_bbox: 0.7668, d3.loss_iou: 1.1399, d4.loss_cls: 1.9672, d4.loss_bbox: 0.7614, d4.loss_iou: 1.1343, loss: 23.5893, grad_norm: 15.3803 +2022-10-26 21:19:15,652 - mmdet - INFO - Epoch [24][1250/1849] lr: 2.000e-04, eta: 1:51:21, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9706, loss_bbox: 0.7617, loss_iou: 1.1300, d0.loss_cls: 2.0753, d0.loss_bbox: 0.8137, d0.loss_iou: 1.1934, d1.loss_cls: 2.0391, d1.loss_bbox: 0.7942, d1.loss_iou: 1.1695, d2.loss_cls: 2.0063, d2.loss_bbox: 0.7789, d2.loss_iou: 1.1488, d3.loss_cls: 1.9908, d3.loss_bbox: 0.7689, d3.loss_iou: 1.1385, d4.loss_cls: 1.9782, d4.loss_bbox: 0.7638, d4.loss_iou: 1.1329, loss: 23.6547, grad_norm: 15.5411 +2022-10-26 21:19:22,350 - mmdet - INFO - Epoch [24][1300/1849] lr: 2.000e-04, eta: 1:51:14, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.9558, loss_bbox: 0.7605, loss_iou: 1.1337, d0.loss_cls: 2.0608, d0.loss_bbox: 0.8120, d0.loss_iou: 1.1950, d1.loss_cls: 2.0264, d1.loss_bbox: 0.7933, d1.loss_iou: 1.1730, d2.loss_cls: 1.9955, d2.loss_bbox: 0.7775, d2.loss_iou: 1.1526, d3.loss_cls: 1.9761, d3.loss_bbox: 0.7678, d3.loss_iou: 1.1425, d4.loss_cls: 1.9640, d4.loss_bbox: 0.7625, d4.loss_iou: 1.1360, loss: 23.5848, grad_norm: 15.7705 +2022-10-26 21:19:29,203 - mmdet - INFO - Epoch [24][1350/1849] lr: 2.000e-04, eta: 1:51:07, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9433, loss_bbox: 0.7554, loss_iou: 1.1289, d0.loss_cls: 2.0478, d0.loss_bbox: 0.8064, d0.loss_iou: 1.1899, d1.loss_cls: 2.0137, d1.loss_bbox: 0.7890, d1.loss_iou: 1.1675, d2.loss_cls: 1.9850, d2.loss_bbox: 0.7729, d2.loss_iou: 1.1478, d3.loss_cls: 1.9644, d3.loss_bbox: 0.7635, d3.loss_iou: 1.1376, d4.loss_cls: 1.9510, d4.loss_bbox: 0.7575, d4.loss_iou: 1.1315, loss: 23.4531, grad_norm: 17.1761 +2022-10-26 21:19:35,953 - mmdet - INFO - Epoch [24][1400/1849] lr: 2.000e-04, eta: 1:51:00, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9528, loss_bbox: 0.7592, loss_iou: 1.1309, d0.loss_cls: 2.0601, d0.loss_bbox: 0.8095, d0.loss_iou: 1.1921, d1.loss_cls: 2.0275, d1.loss_bbox: 0.7916, d1.loss_iou: 1.1699, d2.loss_cls: 1.9973, d2.loss_bbox: 0.7757, d2.loss_iou: 1.1489, d3.loss_cls: 1.9765, d3.loss_bbox: 0.7661, d3.loss_iou: 1.1397, d4.loss_cls: 1.9599, d4.loss_bbox: 0.7610, d4.loss_iou: 1.1330, loss: 23.5516, grad_norm: 15.5022 +2022-10-26 21:19:42,707 - mmdet - INFO - Epoch [24][1450/1849] lr: 2.000e-04, eta: 1:50:53, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9452, loss_bbox: 0.7561, loss_iou: 1.1311, d0.loss_cls: 2.0502, d0.loss_bbox: 0.8090, d0.loss_iou: 1.1949, d1.loss_cls: 2.0198, d1.loss_bbox: 0.7902, d1.loss_iou: 1.1709, d2.loss_cls: 1.9847, d2.loss_bbox: 0.7736, d2.loss_iou: 1.1511, d3.loss_cls: 1.9664, d3.loss_bbox: 0.7639, d3.loss_iou: 1.1395, d4.loss_cls: 1.9540, d4.loss_bbox: 0.7581, d4.loss_iou: 1.1335, loss: 23.4922, grad_norm: 16.1390 +2022-10-26 21:19:49,569 - mmdet - INFO - Epoch [24][1500/1849] lr: 2.000e-04, eta: 1:50:46, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9565, loss_bbox: 0.7595, loss_iou: 1.1347, d0.loss_cls: 2.0549, d0.loss_bbox: 0.8111, d0.loss_iou: 1.1963, d1.loss_cls: 2.0252, d1.loss_bbox: 0.7918, d1.loss_iou: 1.1738, d2.loss_cls: 1.9949, d2.loss_bbox: 0.7769, d2.loss_iou: 1.1524, d3.loss_cls: 1.9748, d3.loss_bbox: 0.7672, d3.loss_iou: 1.1430, d4.loss_cls: 1.9637, d4.loss_bbox: 0.7617, d4.loss_iou: 1.1368, loss: 23.5753, grad_norm: 13.9069 +2022-10-26 21:19:56,483 - mmdet - INFO - Epoch [24][1550/1849] lr: 2.000e-04, eta: 1:50:39, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9650, loss_bbox: 0.7635, loss_iou: 1.1380, d0.loss_cls: 2.0654, d0.loss_bbox: 0.8156, d0.loss_iou: 1.1988, d1.loss_cls: 2.0306, d1.loss_bbox: 0.7961, d1.loss_iou: 1.1768, d2.loss_cls: 2.0061, d2.loss_bbox: 0.7808, d2.loss_iou: 1.1554, d3.loss_cls: 1.9872, d3.loss_bbox: 0.7708, d3.loss_iou: 1.1459, d4.loss_cls: 1.9731, d4.loss_bbox: 0.7654, d4.loss_iou: 1.1406, loss: 23.6749, grad_norm: 16.2022 +2022-10-26 21:20:03,264 - mmdet - INFO - Epoch [24][1600/1849] lr: 2.000e-04, eta: 1:50:32, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9477, loss_bbox: 0.7627, loss_iou: 1.1339, d0.loss_cls: 2.0506, d0.loss_bbox: 0.8134, d0.loss_iou: 1.1956, d1.loss_cls: 2.0191, d1.loss_bbox: 0.7957, d1.loss_iou: 1.1726, d2.loss_cls: 1.9864, d2.loss_bbox: 0.7806, d2.loss_iou: 1.1526, d3.loss_cls: 1.9663, d3.loss_bbox: 0.7703, d3.loss_iou: 1.1424, d4.loss_cls: 1.9556, d4.loss_bbox: 0.7650, d4.loss_iou: 1.1362, loss: 23.5467, grad_norm: 15.1185 +2022-10-26 21:20:10,478 - mmdet - INFO - Epoch [24][1650/1849] lr: 2.000e-04, eta: 1:50:26, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9634, loss_bbox: 0.7641, loss_iou: 1.1360, d0.loss_cls: 2.0634, d0.loss_bbox: 0.8157, d0.loss_iou: 1.1970, d1.loss_cls: 2.0334, d1.loss_bbox: 0.7966, d1.loss_iou: 1.1747, d2.loss_cls: 2.0018, d2.loss_bbox: 0.7815, d2.loss_iou: 1.1548, d3.loss_cls: 1.9822, d3.loss_bbox: 0.7718, d3.loss_iou: 1.1447, d4.loss_cls: 1.9697, d4.loss_bbox: 0.7665, d4.loss_iou: 1.1383, loss: 23.6558, grad_norm: 14.0441 +2022-10-26 21:20:17,480 - mmdet - INFO - Epoch [24][1700/1849] lr: 2.000e-04, eta: 1:50:19, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9523, loss_bbox: 0.7534, loss_iou: 1.1305, d0.loss_cls: 2.0552, d0.loss_bbox: 0.8058, d0.loss_iou: 1.1932, d1.loss_cls: 2.0256, d1.loss_bbox: 0.7860, d1.loss_iou: 1.1702, d2.loss_cls: 1.9934, d2.loss_bbox: 0.7705, d2.loss_iou: 1.1495, d3.loss_cls: 1.9765, d3.loss_bbox: 0.7619, d3.loss_iou: 1.1388, d4.loss_cls: 1.9608, d4.loss_bbox: 0.7556, d4.loss_iou: 1.1332, loss: 23.5122, grad_norm: 15.8687 +2022-10-26 21:20:24,469 - mmdet - INFO - Epoch [24][1750/1849] lr: 2.000e-04, eta: 1:50:13, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9631, loss_bbox: 0.7557, loss_iou: 1.1285, d0.loss_cls: 2.0683, d0.loss_bbox: 0.8086, d0.loss_iou: 1.1890, d1.loss_cls: 2.0306, d1.loss_bbox: 0.7884, d1.loss_iou: 1.1667, d2.loss_cls: 2.0010, d2.loss_bbox: 0.7732, d2.loss_iou: 1.1463, d3.loss_cls: 1.9826, d3.loss_bbox: 0.7635, d3.loss_iou: 1.1368, d4.loss_cls: 1.9701, d4.loss_bbox: 0.7578, d4.loss_iou: 1.1309, loss: 23.5611, grad_norm: 16.7580 +2022-10-26 21:20:31,529 - mmdet - INFO - Epoch [24][1800/1849] lr: 2.000e-04, eta: 1:50:06, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9509, loss_bbox: 0.7588, loss_iou: 1.1295, d0.loss_cls: 2.0545, d0.loss_bbox: 0.8110, d0.loss_iou: 1.1900, d1.loss_cls: 2.0254, d1.loss_bbox: 0.7903, d1.loss_iou: 1.1680, d2.loss_cls: 1.9899, d2.loss_bbox: 0.7749, d2.loss_iou: 1.1477, d3.loss_cls: 1.9722, d3.loss_bbox: 0.7664, d3.loss_iou: 1.1381, d4.loss_cls: 1.9569, d4.loss_bbox: 0.7608, d4.loss_iou: 1.1317, loss: 23.5170, grad_norm: 15.3213 +2022-10-26 21:20:38,474 - mmdet - INFO - Saving checkpoint at 24 epochs +2022-10-26 21:20:49,352 - mmdet - INFO - Epoch [25][50/1849] lr: 2.000e-04, eta: 1:49:49, time: 0.205, data_time: 0.063, memory: 4401, loss_cls: 1.9579, loss_bbox: 0.7559, loss_iou: 1.1374, d0.loss_cls: 2.0632, d0.loss_bbox: 0.8080, d0.loss_iou: 1.1993, d1.loss_cls: 2.0333, d1.loss_bbox: 0.7895, d1.loss_iou: 1.1770, d2.loss_cls: 2.0018, d2.loss_bbox: 0.7738, d2.loss_iou: 1.1563, d3.loss_cls: 1.9795, d3.loss_bbox: 0.7639, d3.loss_iou: 1.1458, d4.loss_cls: 1.9644, d4.loss_bbox: 0.7578, d4.loss_iou: 1.1399, loss: 23.6046, grad_norm: 16.0587 +2022-10-26 21:20:56,323 - mmdet - INFO - Epoch [25][100/1849] lr: 2.000e-04, eta: 1:49:42, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9378, loss_bbox: 0.7622, loss_iou: 1.1381, d0.loss_cls: 2.0415, d0.loss_bbox: 0.8127, d0.loss_iou: 1.1991, d1.loss_cls: 2.0140, d1.loss_bbox: 0.7942, d1.loss_iou: 1.1776, d2.loss_cls: 1.9801, d2.loss_bbox: 0.7789, d2.loss_iou: 1.1570, d3.loss_cls: 1.9616, d3.loss_bbox: 0.7693, d3.loss_iou: 1.1464, d4.loss_cls: 1.9459, d4.loss_bbox: 0.7640, d4.loss_iou: 1.1406, loss: 23.5209, grad_norm: 17.1812 +2022-10-26 21:21:03,250 - mmdet - INFO - Epoch [25][150/1849] lr: 2.000e-04, eta: 1:49:35, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9500, loss_bbox: 0.7536, loss_iou: 1.1279, d0.loss_cls: 2.0560, d0.loss_bbox: 0.8073, d0.loss_iou: 1.1913, d1.loss_cls: 2.0223, d1.loss_bbox: 0.7865, d1.loss_iou: 1.1677, d2.loss_cls: 1.9894, d2.loss_bbox: 0.7701, d2.loss_iou: 1.1466, d3.loss_cls: 1.9724, d3.loss_bbox: 0.7607, d3.loss_iou: 1.1363, d4.loss_cls: 1.9588, d4.loss_bbox: 0.7554, d4.loss_iou: 1.1308, loss: 23.4829, grad_norm: 14.7072 +2022-10-26 21:21:10,468 - mmdet - INFO - Epoch [25][200/1849] lr: 2.000e-04, eta: 1:49:29, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9495, loss_bbox: 0.7592, loss_iou: 1.1266, d0.loss_cls: 2.0570, d0.loss_bbox: 0.8129, d0.loss_iou: 1.1900, d1.loss_cls: 2.0204, d1.loss_bbox: 0.7934, d1.loss_iou: 1.1672, d2.loss_cls: 1.9888, d2.loss_bbox: 0.7774, d2.loss_iou: 1.1457, d3.loss_cls: 1.9703, d3.loss_bbox: 0.7673, d3.loss_iou: 1.1349, d4.loss_cls: 1.9557, d4.loss_bbox: 0.7620, d4.loss_iou: 1.1293, loss: 23.5077, grad_norm: 15.9675 +2022-10-26 21:21:17,519 - mmdet - INFO - Epoch [25][250/1849] lr: 2.000e-04, eta: 1:49:22, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9476, loss_bbox: 0.7544, loss_iou: 1.1361, d0.loss_cls: 2.0506, d0.loss_bbox: 0.8060, d0.loss_iou: 1.1984, d1.loss_cls: 2.0236, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1748, d2.loss_cls: 1.9892, d2.loss_bbox: 0.7724, d2.loss_iou: 1.1538, d3.loss_cls: 1.9710, d3.loss_bbox: 0.7622, d3.loss_iou: 1.1439, d4.loss_cls: 1.9563, d4.loss_bbox: 0.7575, d4.loss_iou: 1.1380, loss: 23.5238, grad_norm: 15.1920 +2022-10-26 21:21:24,747 - mmdet - INFO - Epoch [25][300/1849] lr: 2.000e-04, eta: 1:49:16, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9612, loss_bbox: 0.7601, loss_iou: 1.1339, d0.loss_cls: 2.0692, d0.loss_bbox: 0.8125, d0.loss_iou: 1.1947, d1.loss_cls: 2.0374, d1.loss_bbox: 0.7928, d1.loss_iou: 1.1748, d2.loss_cls: 2.0042, d2.loss_bbox: 0.7770, d2.loss_iou: 1.1531, d3.loss_cls: 1.9849, d3.loss_bbox: 0.7672, d3.loss_iou: 1.1428, d4.loss_cls: 1.9689, d4.loss_bbox: 0.7616, d4.loss_iou: 1.1371, loss: 23.6337, grad_norm: 16.0448 +2022-10-26 21:21:31,867 - mmdet - INFO - Epoch [25][350/1849] lr: 2.000e-04, eta: 1:49:09, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9418, loss_bbox: 0.7619, loss_iou: 1.1319, d0.loss_cls: 2.0468, d0.loss_bbox: 0.8131, d0.loss_iou: 1.1931, d1.loss_cls: 2.0130, d1.loss_bbox: 0.7962, d1.loss_iou: 1.1723, d2.loss_cls: 1.9821, d2.loss_bbox: 0.7800, d2.loss_iou: 1.1509, d3.loss_cls: 1.9642, d3.loss_bbox: 0.7694, d3.loss_iou: 1.1408, d4.loss_cls: 1.9517, d4.loss_bbox: 0.7635, d4.loss_iou: 1.1349, loss: 23.5074, grad_norm: 15.2668 +2022-10-26 21:21:39,026 - mmdet - INFO - Epoch [25][400/1849] lr: 2.000e-04, eta: 1:49:02, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9496, loss_bbox: 0.7606, loss_iou: 1.1323, d0.loss_cls: 2.0597, d0.loss_bbox: 0.8121, d0.loss_iou: 1.1946, d1.loss_cls: 2.0223, d1.loss_bbox: 0.7933, d1.loss_iou: 1.1719, d2.loss_cls: 1.9897, d2.loss_bbox: 0.7777, d2.loss_iou: 1.1509, d3.loss_cls: 1.9701, d3.loss_bbox: 0.7679, d3.loss_iou: 1.1413, d4.loss_cls: 1.9569, d4.loss_bbox: 0.7626, d4.loss_iou: 1.1345, loss: 23.5482, grad_norm: 16.5304 +2022-10-26 21:21:46,225 - mmdet - INFO - Epoch [25][450/1849] lr: 2.000e-04, eta: 1:48:56, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.9527, loss_bbox: 0.7580, loss_iou: 1.1330, d0.loss_cls: 2.0520, d0.loss_bbox: 0.8099, d0.loss_iou: 1.1953, d1.loss_cls: 2.0193, d1.loss_bbox: 0.7908, d1.loss_iou: 1.1735, d2.loss_cls: 1.9899, d2.loss_bbox: 0.7759, d2.loss_iou: 1.1531, d3.loss_cls: 1.9716, d3.loss_bbox: 0.7658, d3.loss_iou: 1.1422, d4.loss_cls: 1.9597, d4.loss_bbox: 0.7602, d4.loss_iou: 1.1359, loss: 23.5386, grad_norm: 14.3671 +2022-10-26 21:21:53,297 - mmdet - INFO - Epoch [25][500/1849] lr: 2.000e-04, eta: 1:48:49, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9391, loss_bbox: 0.7537, loss_iou: 1.1314, d0.loss_cls: 2.0430, d0.loss_bbox: 0.8052, d0.loss_iou: 1.1930, d1.loss_cls: 2.0118, d1.loss_bbox: 0.7869, d1.loss_iou: 1.1699, d2.loss_cls: 1.9793, d2.loss_bbox: 0.7714, d2.loss_iou: 1.1493, d3.loss_cls: 1.9623, d3.loss_bbox: 0.7611, d3.loss_iou: 1.1401, d4.loss_cls: 1.9471, d4.loss_bbox: 0.7560, d4.loss_iou: 1.1339, loss: 23.4347, grad_norm: 14.6456 +2022-10-26 21:22:00,120 - mmdet - INFO - Epoch [25][550/1849] lr: 2.000e-04, eta: 1:48:42, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9539, loss_bbox: 0.7552, loss_iou: 1.1329, d0.loss_cls: 2.0599, d0.loss_bbox: 0.8076, d0.loss_iou: 1.1951, d1.loss_cls: 2.0264, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1731, d2.loss_cls: 1.9945, d2.loss_bbox: 0.7726, d2.loss_iou: 1.1513, d3.loss_cls: 1.9748, d3.loss_bbox: 0.7630, d3.loss_iou: 1.1410, d4.loss_cls: 1.9608, d4.loss_bbox: 0.7571, d4.loss_iou: 1.1354, loss: 23.5425, grad_norm: 14.2479 +2022-10-26 21:22:06,915 - mmdet - INFO - Epoch [25][600/1849] lr: 2.000e-04, eta: 1:48:35, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9523, loss_bbox: 0.7545, loss_iou: 1.1288, d0.loss_cls: 2.0571, d0.loss_bbox: 0.8071, d0.loss_iou: 1.1910, d1.loss_cls: 2.0233, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1679, d2.loss_cls: 1.9945, d2.loss_bbox: 0.7723, d2.loss_iou: 1.1464, d3.loss_cls: 1.9735, d3.loss_bbox: 0.7619, d3.loss_iou: 1.1372, d4.loss_cls: 1.9620, d4.loss_bbox: 0.7567, d4.loss_iou: 1.1307, loss: 23.5052, grad_norm: 15.4689 +2022-10-26 21:22:13,908 - mmdet - INFO - Epoch [25][650/1849] lr: 2.000e-04, eta: 1:48:29, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9466, loss_bbox: 0.7588, loss_iou: 1.1318, d0.loss_cls: 2.0519, d0.loss_bbox: 0.8116, d0.loss_iou: 1.1929, d1.loss_cls: 2.0217, d1.loss_bbox: 0.7932, d1.loss_iou: 1.1721, d2.loss_cls: 1.9903, d2.loss_bbox: 0.7774, d2.loss_iou: 1.1517, d3.loss_cls: 1.9696, d3.loss_bbox: 0.7666, d3.loss_iou: 1.1405, d4.loss_cls: 1.9557, d4.loss_bbox: 0.7607, d4.loss_iou: 1.1345, loss: 23.5276, grad_norm: 15.9370 +2022-10-26 21:22:21,018 - mmdet - INFO - Epoch [25][700/1849] lr: 2.000e-04, eta: 1:48:22, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9447, loss_bbox: 0.7545, loss_iou: 1.1267, d0.loss_cls: 2.0480, d0.loss_bbox: 0.8075, d0.loss_iou: 1.1902, d1.loss_cls: 2.0139, d1.loss_bbox: 0.7884, d1.loss_iou: 1.1684, d2.loss_cls: 1.9820, d2.loss_bbox: 0.7724, d2.loss_iou: 1.1466, d3.loss_cls: 1.9628, d3.loss_bbox: 0.7621, d3.loss_iou: 1.1371, d4.loss_cls: 1.9509, d4.loss_bbox: 0.7565, d4.loss_iou: 1.1294, loss: 23.4421, grad_norm: 14.8931 +2022-10-26 21:22:28,053 - mmdet - INFO - Epoch [25][750/1849] lr: 2.000e-04, eta: 1:48:15, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9370, loss_bbox: 0.7576, loss_iou: 1.1314, d0.loss_cls: 2.0424, d0.loss_bbox: 0.8090, d0.loss_iou: 1.1922, d1.loss_cls: 2.0087, d1.loss_bbox: 0.7913, d1.loss_iou: 1.1721, d2.loss_cls: 1.9780, d2.loss_bbox: 0.7759, d2.loss_iou: 1.1499, d3.loss_cls: 1.9600, d3.loss_bbox: 0.7653, d3.loss_iou: 1.1400, d4.loss_cls: 1.9460, d4.loss_bbox: 0.7597, d4.loss_iou: 1.1343, loss: 23.4507, grad_norm: 14.9289 +2022-10-26 21:22:34,923 - mmdet - INFO - Epoch [25][800/1849] lr: 2.000e-04, eta: 1:48:09, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9502, loss_bbox: 0.7579, loss_iou: 1.1323, d0.loss_cls: 2.0546, d0.loss_bbox: 0.8098, d0.loss_iou: 1.1942, d1.loss_cls: 2.0223, d1.loss_bbox: 0.7916, d1.loss_iou: 1.1725, d2.loss_cls: 1.9910, d2.loss_bbox: 0.7761, d2.loss_iou: 1.1516, d3.loss_cls: 1.9692, d3.loss_bbox: 0.7660, d3.loss_iou: 1.1411, d4.loss_cls: 1.9573, d4.loss_bbox: 0.7600, d4.loss_iou: 1.1352, loss: 23.5328, grad_norm: 16.6313 +2022-10-26 21:22:42,014 - mmdet - INFO - Epoch [25][850/1849] lr: 2.000e-04, eta: 1:48:02, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9499, loss_bbox: 0.7611, loss_iou: 1.1382, d0.loss_cls: 2.0524, d0.loss_bbox: 0.8107, d0.loss_iou: 1.2002, d1.loss_cls: 2.0185, d1.loss_bbox: 0.7917, d1.loss_iou: 1.1772, d2.loss_cls: 1.9891, d2.loss_bbox: 0.7772, d2.loss_iou: 1.1569, d3.loss_cls: 1.9695, d3.loss_bbox: 0.7681, d3.loss_iou: 1.1462, d4.loss_cls: 1.9567, d4.loss_bbox: 0.7625, d4.loss_iou: 1.1409, loss: 23.5671, grad_norm: 18.3382 +2022-10-26 21:22:49,010 - mmdet - INFO - Epoch [25][900/1849] lr: 2.000e-04, eta: 1:47:55, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9588, loss_bbox: 0.7584, loss_iou: 1.1340, d0.loss_cls: 2.0613, d0.loss_bbox: 0.8091, d0.loss_iou: 1.1966, d1.loss_cls: 2.0311, d1.loss_bbox: 0.7905, d1.loss_iou: 1.1737, d2.loss_cls: 1.9985, d2.loss_bbox: 0.7758, d2.loss_iou: 1.1527, d3.loss_cls: 1.9801, d3.loss_bbox: 0.7659, d3.loss_iou: 1.1422, d4.loss_cls: 1.9667, d4.loss_bbox: 0.7601, d4.loss_iou: 1.1366, loss: 23.5922, grad_norm: 15.6780 +2022-10-26 21:22:55,936 - mmdet - INFO - Epoch [25][950/1849] lr: 2.000e-04, eta: 1:47:48, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9592, loss_bbox: 0.7618, loss_iou: 1.1326, d0.loss_cls: 2.0663, d0.loss_bbox: 0.8145, d0.loss_iou: 1.1945, d1.loss_cls: 2.0301, d1.loss_bbox: 0.7963, d1.loss_iou: 1.1714, d2.loss_cls: 2.0002, d2.loss_bbox: 0.7802, d2.loss_iou: 1.1505, d3.loss_cls: 1.9795, d3.loss_bbox: 0.7703, d3.loss_iou: 1.1414, d4.loss_cls: 1.9666, d4.loss_bbox: 0.7642, d4.loss_iou: 1.1353, loss: 23.6148, grad_norm: 15.6291 +2022-10-26 21:23:02,968 - mmdet - INFO - Epoch [25][1000/1849] lr: 2.000e-04, eta: 1:47:42, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9559, loss_bbox: 0.7607, loss_iou: 1.1355, d0.loss_cls: 2.0571, d0.loss_bbox: 0.8119, d0.loss_iou: 1.1963, d1.loss_cls: 2.0249, d1.loss_bbox: 0.7939, d1.loss_iou: 1.1741, d2.loss_cls: 1.9940, d2.loss_bbox: 0.7781, d2.loss_iou: 1.1540, d3.loss_cls: 1.9757, d3.loss_bbox: 0.7686, d3.loss_iou: 1.1444, d4.loss_cls: 1.9636, d4.loss_bbox: 0.7627, d4.loss_iou: 1.1376, loss: 23.5890, grad_norm: 13.7568 +2022-10-26 21:23:10,141 - mmdet - INFO - Epoch [25][1050/1849] lr: 2.000e-04, eta: 1:47:35, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9639, loss_bbox: 0.7546, loss_iou: 1.1307, d0.loss_cls: 2.0695, d0.loss_bbox: 0.8073, d0.loss_iou: 1.1913, d1.loss_cls: 2.0400, d1.loss_bbox: 0.7883, d1.loss_iou: 1.1703, d2.loss_cls: 2.0055, d2.loss_bbox: 0.7726, d2.loss_iou: 1.1497, d3.loss_cls: 1.9860, d3.loss_bbox: 0.7625, d3.loss_iou: 1.1400, d4.loss_cls: 1.9727, d4.loss_bbox: 0.7568, d4.loss_iou: 1.1326, loss: 23.5942, grad_norm: 15.2044 +2022-10-26 21:23:16,956 - mmdet - INFO - Epoch [25][1100/1849] lr: 2.000e-04, eta: 1:47:28, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9582, loss_bbox: 0.7575, loss_iou: 1.1325, d0.loss_cls: 2.0617, d0.loss_bbox: 0.8097, d0.loss_iou: 1.1955, d1.loss_cls: 2.0263, d1.loss_bbox: 0.7896, d1.loss_iou: 1.1728, d2.loss_cls: 1.9949, d2.loss_bbox: 0.7739, d2.loss_iou: 1.1520, d3.loss_cls: 1.9777, d3.loss_bbox: 0.7640, d3.loss_iou: 1.1413, d4.loss_cls: 1.9652, d4.loss_bbox: 0.7594, d4.loss_iou: 1.1346, loss: 23.5668, grad_norm: 14.9687 +2022-10-26 21:23:23,924 - mmdet - INFO - Epoch [25][1150/1849] lr: 2.000e-04, eta: 1:47:22, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9552, loss_bbox: 0.7583, loss_iou: 1.1316, d0.loss_cls: 2.0570, d0.loss_bbox: 0.8114, d0.loss_iou: 1.1945, d1.loss_cls: 2.0264, d1.loss_bbox: 0.7911, d1.loss_iou: 1.1714, d2.loss_cls: 1.9950, d2.loss_bbox: 0.7756, d2.loss_iou: 1.1499, d3.loss_cls: 1.9772, d3.loss_bbox: 0.7666, d3.loss_iou: 1.1404, d4.loss_cls: 1.9631, d4.loss_bbox: 0.7603, d4.loss_iou: 1.1337, loss: 23.5586, grad_norm: 14.3250 +2022-10-26 21:23:30,741 - mmdet - INFO - Epoch [25][1200/1849] lr: 2.000e-04, eta: 1:47:15, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9336, loss_bbox: 0.7560, loss_iou: 1.1317, d0.loss_cls: 2.0344, d0.loss_bbox: 0.8084, d0.loss_iou: 1.1931, d1.loss_cls: 2.0014, d1.loss_bbox: 0.7895, d1.loss_iou: 1.1702, d2.loss_cls: 1.9721, d2.loss_bbox: 0.7737, d2.loss_iou: 1.1502, d3.loss_cls: 1.9560, d3.loss_bbox: 0.7637, d3.loss_iou: 1.1402, d4.loss_cls: 1.9408, d4.loss_bbox: 0.7580, d4.loss_iou: 1.1340, loss: 23.4069, grad_norm: 15.9619 +2022-10-26 21:23:37,679 - mmdet - INFO - Epoch [25][1250/1849] lr: 2.000e-04, eta: 1:47:08, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9503, loss_bbox: 0.7534, loss_iou: 1.1301, d0.loss_cls: 2.0544, d0.loss_bbox: 0.8076, d0.loss_iou: 1.1926, d1.loss_cls: 2.0216, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1700, d2.loss_cls: 1.9905, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1492, d3.loss_cls: 1.9717, d3.loss_bbox: 0.7610, d3.loss_iou: 1.1388, d4.loss_cls: 1.9571, d4.loss_bbox: 0.7556, d4.loss_iou: 1.1327, loss: 23.4948, grad_norm: 18.6126 +2022-10-26 21:23:44,531 - mmdet - INFO - Epoch [25][1300/1849] lr: 2.000e-04, eta: 1:47:01, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9618, loss_bbox: 0.7647, loss_iou: 1.1352, d0.loss_cls: 2.0633, d0.loss_bbox: 0.8173, d0.loss_iou: 1.1972, d1.loss_cls: 2.0337, d1.loss_bbox: 0.7973, d1.loss_iou: 1.1741, d2.loss_cls: 2.0006, d2.loss_bbox: 0.7812, d2.loss_iou: 1.1540, d3.loss_cls: 1.9826, d3.loss_bbox: 0.7718, d3.loss_iou: 1.1440, d4.loss_cls: 1.9685, d4.loss_bbox: 0.7668, d4.loss_iou: 1.1383, loss: 23.6523, grad_norm: 14.3021 +2022-10-26 21:23:51,293 - mmdet - INFO - Epoch [25][1350/1849] lr: 2.000e-04, eta: 1:46:54, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9541, loss_bbox: 0.7601, loss_iou: 1.1336, d0.loss_cls: 2.0543, d0.loss_bbox: 0.8123, d0.loss_iou: 1.1977, d1.loss_cls: 2.0259, d1.loss_bbox: 0.7933, d1.loss_iou: 1.1741, d2.loss_cls: 1.9936, d2.loss_bbox: 0.7779, d2.loss_iou: 1.1520, d3.loss_cls: 1.9755, d3.loss_bbox: 0.7681, d3.loss_iou: 1.1427, d4.loss_cls: 1.9611, d4.loss_bbox: 0.7621, d4.loss_iou: 1.1366, loss: 23.5749, grad_norm: 15.4828 +2022-10-26 21:23:58,025 - mmdet - INFO - Epoch [25][1400/1849] lr: 2.000e-04, eta: 1:46:47, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9627, loss_bbox: 0.7619, loss_iou: 1.1339, d0.loss_cls: 2.0641, d0.loss_bbox: 0.8152, d0.loss_iou: 1.1975, d1.loss_cls: 2.0324, d1.loss_bbox: 0.7956, d1.loss_iou: 1.1738, d2.loss_cls: 2.0030, d2.loss_bbox: 0.7791, d2.loss_iou: 1.1528, d3.loss_cls: 1.9836, d3.loss_bbox: 0.7692, d3.loss_iou: 1.1426, d4.loss_cls: 1.9695, d4.loss_bbox: 0.7634, d4.loss_iou: 1.1365, loss: 23.6366, grad_norm: 14.8206 +2022-10-26 21:24:04,931 - mmdet - INFO - Epoch [25][1450/1849] lr: 2.000e-04, eta: 1:46:40, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9625, loss_bbox: 0.7620, loss_iou: 1.1332, d0.loss_cls: 2.0644, d0.loss_bbox: 0.8134, d0.loss_iou: 1.1941, d1.loss_cls: 2.0329, d1.loss_bbox: 0.7958, d1.loss_iou: 1.1723, d2.loss_cls: 2.0028, d2.loss_bbox: 0.7796, d2.loss_iou: 1.1512, d3.loss_cls: 1.9838, d3.loss_bbox: 0.7693, d3.loss_iou: 1.1420, d4.loss_cls: 1.9696, d4.loss_bbox: 0.7639, d4.loss_iou: 1.1355, loss: 23.6283, grad_norm: 13.8791 +2022-10-26 21:24:11,921 - mmdet - INFO - Epoch [25][1500/1849] lr: 2.000e-04, eta: 1:46:33, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9659, loss_bbox: 0.7577, loss_iou: 1.1333, d0.loss_cls: 2.0671, d0.loss_bbox: 0.8094, d0.loss_iou: 1.1950, d1.loss_cls: 2.0335, d1.loss_bbox: 0.7904, d1.loss_iou: 1.1721, d2.loss_cls: 2.0053, d2.loss_bbox: 0.7751, d2.loss_iou: 1.1526, d3.loss_cls: 1.9889, d3.loss_bbox: 0.7647, d3.loss_iou: 1.1426, d4.loss_cls: 1.9755, d4.loss_bbox: 0.7598, d4.loss_iou: 1.1360, loss: 23.6250, grad_norm: 14.8809 +2022-10-26 21:24:18,894 - mmdet - INFO - Epoch [25][1550/1849] lr: 2.000e-04, eta: 1:46:27, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9628, loss_bbox: 0.7593, loss_iou: 1.1351, d0.loss_cls: 2.0675, d0.loss_bbox: 0.8122, d0.loss_iou: 1.1982, d1.loss_cls: 2.0356, d1.loss_bbox: 0.7935, d1.loss_iou: 1.1756, d2.loss_cls: 2.0038, d2.loss_bbox: 0.7760, d2.loss_iou: 1.1538, d3.loss_cls: 1.9850, d3.loss_bbox: 0.7665, d3.loss_iou: 1.1436, d4.loss_cls: 1.9678, d4.loss_bbox: 0.7610, d4.loss_iou: 1.1378, loss: 23.6353, grad_norm: 14.8829 +2022-10-26 21:24:25,648 - mmdet - INFO - Epoch [25][1600/1849] lr: 2.000e-04, eta: 1:46:20, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9514, loss_bbox: 0.7569, loss_iou: 1.1323, d0.loss_cls: 2.0569, d0.loss_bbox: 0.8085, d0.loss_iou: 1.1936, d1.loss_cls: 2.0213, d1.loss_bbox: 0.7885, d1.loss_iou: 1.1713, d2.loss_cls: 1.9917, d2.loss_bbox: 0.7738, d2.loss_iou: 1.1506, d3.loss_cls: 1.9715, d3.loss_bbox: 0.7645, d3.loss_iou: 1.1410, d4.loss_cls: 1.9581, d4.loss_bbox: 0.7591, d4.loss_iou: 1.1353, loss: 23.5263, grad_norm: 14.7626 +2022-10-26 21:24:35,021 - mmdet - INFO - Epoch [25][1650/1849] lr: 2.000e-04, eta: 1:46:15, time: 0.187, data_time: 0.004, memory: 4401, loss_cls: 1.9531, loss_bbox: 0.7601, loss_iou: 1.1308, d0.loss_cls: 2.0537, d0.loss_bbox: 0.8142, d0.loss_iou: 1.1933, d1.loss_cls: 2.0200, d1.loss_bbox: 0.7941, d1.loss_iou: 1.1701, d2.loss_cls: 1.9922, d2.loss_bbox: 0.7773, d2.loss_iou: 1.1500, d3.loss_cls: 1.9720, d3.loss_bbox: 0.7683, d3.loss_iou: 1.1393, d4.loss_cls: 1.9589, d4.loss_bbox: 0.7624, d4.loss_iou: 1.1332, loss: 23.5431, grad_norm: 14.9018 +2022-10-26 21:24:41,985 - mmdet - INFO - Epoch [25][1700/1849] lr: 2.000e-04, eta: 1:46:09, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9572, loss_bbox: 0.7593, loss_iou: 1.1311, d0.loss_cls: 2.0613, d0.loss_bbox: 0.8110, d0.loss_iou: 1.1931, d1.loss_cls: 2.0267, d1.loss_bbox: 0.7929, d1.loss_iou: 1.1702, d2.loss_cls: 1.9956, d2.loss_bbox: 0.7767, d2.loss_iou: 1.1502, d3.loss_cls: 1.9767, d3.loss_bbox: 0.7674, d3.loss_iou: 1.1403, d4.loss_cls: 1.9648, d4.loss_bbox: 0.7616, d4.loss_iou: 1.1337, loss: 23.5697, grad_norm: 14.3205 +2022-10-26 21:24:49,069 - mmdet - INFO - Epoch [25][1750/1849] lr: 2.000e-04, eta: 1:46:02, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9541, loss_bbox: 0.7619, loss_iou: 1.1338, d0.loss_cls: 2.0568, d0.loss_bbox: 0.8138, d0.loss_iou: 1.1945, d1.loss_cls: 2.0250, d1.loss_bbox: 0.7948, d1.loss_iou: 1.1742, d2.loss_cls: 1.9939, d2.loss_bbox: 0.7789, d2.loss_iou: 1.1529, d3.loss_cls: 1.9748, d3.loss_bbox: 0.7694, d3.loss_iou: 1.1425, d4.loss_cls: 1.9602, d4.loss_bbox: 0.7634, d4.loss_iou: 1.1367, loss: 23.5817, grad_norm: 15.5203 +2022-10-26 21:24:55,928 - mmdet - INFO - Epoch [25][1800/1849] lr: 2.000e-04, eta: 1:45:55, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9624, loss_bbox: 0.7611, loss_iou: 1.1312, d0.loss_cls: 2.0649, d0.loss_bbox: 0.8128, d0.loss_iou: 1.1936, d1.loss_cls: 2.0329, d1.loss_bbox: 0.7951, d1.loss_iou: 1.1708, d2.loss_cls: 2.0001, d2.loss_bbox: 0.7779, d2.loss_iou: 1.1502, d3.loss_cls: 1.9815, d3.loss_bbox: 0.7687, d3.loss_iou: 1.1399, d4.loss_cls: 1.9688, d4.loss_bbox: 0.7633, d4.loss_iou: 1.1338, loss: 23.6090, grad_norm: 16.0889 +2022-10-26 21:25:03,029 - mmdet - INFO - Saving checkpoint at 25 epochs +2022-10-26 21:25:16,489 - mmdet - INFO - Epoch [26][50/1849] lr: 2.000e-04, eta: 1:45:41, time: 0.257, data_time: 0.063, memory: 4401, loss_cls: 1.9295, loss_bbox: 0.7629, loss_iou: 1.1363, d0.loss_cls: 2.0337, d0.loss_bbox: 0.8145, d0.loss_iou: 1.1986, d1.loss_cls: 2.0030, d1.loss_bbox: 0.7946, d1.loss_iou: 1.1750, d2.loss_cls: 1.9693, d2.loss_bbox: 0.7791, d2.loss_iou: 1.1541, d3.loss_cls: 1.9506, d3.loss_bbox: 0.7708, d3.loss_iou: 1.1439, d4.loss_cls: 1.9373, d4.loss_bbox: 0.7647, d4.loss_iou: 1.1385, loss: 23.4562, grad_norm: 14.7087 +2022-10-26 21:25:23,216 - mmdet - INFO - Epoch [26][100/1849] lr: 2.000e-04, eta: 1:45:34, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9409, loss_bbox: 0.7571, loss_iou: 1.1332, d0.loss_cls: 2.0479, d0.loss_bbox: 0.8099, d0.loss_iou: 1.1963, d1.loss_cls: 2.0185, d1.loss_bbox: 0.7895, d1.loss_iou: 1.1728, d2.loss_cls: 1.9824, d2.loss_bbox: 0.7740, d2.loss_iou: 1.1525, d3.loss_cls: 1.9638, d3.loss_bbox: 0.7652, d3.loss_iou: 1.1428, d4.loss_cls: 1.9482, d4.loss_bbox: 0.7593, d4.loss_iou: 1.1361, loss: 23.4904, grad_norm: 14.4868 +2022-10-26 21:25:30,144 - mmdet - INFO - Epoch [26][150/1849] lr: 2.000e-04, eta: 1:45:27, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9426, loss_bbox: 0.7551, loss_iou: 1.1295, d0.loss_cls: 2.0548, d0.loss_bbox: 0.8087, d0.loss_iou: 1.1939, d1.loss_cls: 2.0141, d1.loss_bbox: 0.7893, d1.loss_iou: 1.1705, d2.loss_cls: 1.9836, d2.loss_bbox: 0.7733, d2.loss_iou: 1.1488, d3.loss_cls: 1.9663, d3.loss_bbox: 0.7638, d3.loss_iou: 1.1382, d4.loss_cls: 1.9510, d4.loss_bbox: 0.7577, d4.loss_iou: 1.1316, loss: 23.4728, grad_norm: 14.7407 +2022-10-26 21:25:36,937 - mmdet - INFO - Epoch [26][200/1849] lr: 2.000e-04, eta: 1:45:20, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9573, loss_bbox: 0.7609, loss_iou: 1.1316, d0.loss_cls: 2.0648, d0.loss_bbox: 0.8124, d0.loss_iou: 1.1937, d1.loss_cls: 2.0291, d1.loss_bbox: 0.7932, d1.loss_iou: 1.1713, d2.loss_cls: 1.9975, d2.loss_bbox: 0.7780, d2.loss_iou: 1.1504, d3.loss_cls: 1.9771, d3.loss_bbox: 0.7685, d3.loss_iou: 1.1406, d4.loss_cls: 1.9657, d4.loss_bbox: 0.7625, d4.loss_iou: 1.1344, loss: 23.5889, grad_norm: 16.1219 +2022-10-26 21:25:43,829 - mmdet - INFO - Epoch [26][250/1849] lr: 2.000e-04, eta: 1:45:13, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9515, loss_bbox: 0.7546, loss_iou: 1.1281, d0.loss_cls: 2.0553, d0.loss_bbox: 0.8056, d0.loss_iou: 1.1899, d1.loss_cls: 2.0217, d1.loss_bbox: 0.7882, d1.loss_iou: 1.1670, d2.loss_cls: 1.9914, d2.loss_bbox: 0.7715, d2.loss_iou: 1.1463, d3.loss_cls: 1.9716, d3.loss_bbox: 0.7623, d3.loss_iou: 1.1365, d4.loss_cls: 1.9583, d4.loss_bbox: 0.7566, d4.loss_iou: 1.1304, loss: 23.4869, grad_norm: 17.4787 +2022-10-26 21:25:50,682 - mmdet - INFO - Epoch [26][300/1849] lr: 2.000e-04, eta: 1:45:06, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9502, loss_bbox: 0.7600, loss_iou: 1.1348, d0.loss_cls: 2.0571, d0.loss_bbox: 0.8114, d0.loss_iou: 1.1970, d1.loss_cls: 2.0220, d1.loss_bbox: 0.7935, d1.loss_iou: 1.1740, d2.loss_cls: 1.9894, d2.loss_bbox: 0.7775, d2.loss_iou: 1.1532, d3.loss_cls: 1.9719, d3.loss_bbox: 0.7680, d3.loss_iou: 1.1438, d4.loss_cls: 1.9577, d4.loss_bbox: 0.7624, d4.loss_iou: 1.1377, loss: 23.5616, grad_norm: 16.2025 +2022-10-26 21:25:57,532 - mmdet - INFO - Epoch [26][350/1849] lr: 2.000e-04, eta: 1:44:59, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9370, loss_bbox: 0.7617, loss_iou: 1.1362, d0.loss_cls: 2.0397, d0.loss_bbox: 0.8144, d0.loss_iou: 1.1981, d1.loss_cls: 2.0083, d1.loss_bbox: 0.7958, d1.loss_iou: 1.1755, d2.loss_cls: 1.9748, d2.loss_bbox: 0.7798, d2.loss_iou: 1.1550, d3.loss_cls: 1.9547, d3.loss_bbox: 0.7705, d3.loss_iou: 1.1448, d4.loss_cls: 1.9432, d4.loss_bbox: 0.7643, d4.loss_iou: 1.1391, loss: 23.4930, grad_norm: 15.6188 +2022-10-26 21:26:04,444 - mmdet - INFO - Epoch [26][400/1849] lr: 2.000e-04, eta: 1:44:53, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9420, loss_bbox: 0.7530, loss_iou: 1.1239, d0.loss_cls: 2.0500, d0.loss_bbox: 0.8072, d0.loss_iou: 1.1878, d1.loss_cls: 2.0130, d1.loss_bbox: 0.7870, d1.loss_iou: 1.1647, d2.loss_cls: 1.9868, d2.loss_bbox: 0.7714, d2.loss_iou: 1.1433, d3.loss_cls: 1.9647, d3.loss_bbox: 0.7609, d3.loss_iou: 1.1327, d4.loss_cls: 1.9502, d4.loss_bbox: 0.7550, d4.loss_iou: 1.1268, loss: 23.4205, grad_norm: 14.3553 +2022-10-26 21:26:11,434 - mmdet - INFO - Epoch [26][450/1849] lr: 2.000e-04, eta: 1:44:46, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9520, loss_bbox: 0.7575, loss_iou: 1.1331, d0.loss_cls: 2.0538, d0.loss_bbox: 0.8090, d0.loss_iou: 1.1955, d1.loss_cls: 2.0227, d1.loss_bbox: 0.7901, d1.loss_iou: 1.1728, d2.loss_cls: 1.9920, d2.loss_bbox: 0.7739, d2.loss_iou: 1.1519, d3.loss_cls: 1.9754, d3.loss_bbox: 0.7652, d3.loss_iou: 1.1419, d4.loss_cls: 1.9604, d4.loss_bbox: 0.7597, d4.loss_iou: 1.1354, loss: 23.5424, grad_norm: 14.6774 +2022-10-26 21:26:18,278 - mmdet - INFO - Epoch [26][500/1849] lr: 2.000e-04, eta: 1:44:39, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9413, loss_bbox: 0.7606, loss_iou: 1.1332, d0.loss_cls: 2.0453, d0.loss_bbox: 0.8130, d0.loss_iou: 1.1957, d1.loss_cls: 2.0085, d1.loss_bbox: 0.7929, d1.loss_iou: 1.1722, d2.loss_cls: 1.9824, d2.loss_bbox: 0.7778, d2.loss_iou: 1.1522, d3.loss_cls: 1.9620, d3.loss_bbox: 0.7686, d3.loss_iou: 1.1424, d4.loss_cls: 1.9487, d4.loss_bbox: 0.7626, d4.loss_iou: 1.1356, loss: 23.4949, grad_norm: 15.5558 +2022-10-26 21:26:25,188 - mmdet - INFO - Epoch [26][550/1849] lr: 2.000e-04, eta: 1:44:32, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9472, loss_bbox: 0.7571, loss_iou: 1.1288, d0.loss_cls: 2.0497, d0.loss_bbox: 0.8085, d0.loss_iou: 1.1905, d1.loss_cls: 2.0152, d1.loss_bbox: 0.7887, d1.loss_iou: 1.1680, d2.loss_cls: 1.9863, d2.loss_bbox: 0.7737, d2.loss_iou: 1.1470, d3.loss_cls: 1.9668, d3.loss_bbox: 0.7647, d3.loss_iou: 1.1371, d4.loss_cls: 1.9553, d4.loss_bbox: 0.7588, d4.loss_iou: 1.1315, loss: 23.4748, grad_norm: 16.7471 +2022-10-26 21:26:32,206 - mmdet - INFO - Epoch [26][600/1849] lr: 2.000e-04, eta: 1:44:25, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9454, loss_bbox: 0.7593, loss_iou: 1.1318, d0.loss_cls: 2.0488, d0.loss_bbox: 0.8109, d0.loss_iou: 1.1956, d1.loss_cls: 2.0192, d1.loss_bbox: 0.7928, d1.loss_iou: 1.1722, d2.loss_cls: 1.9859, d2.loss_bbox: 0.7775, d2.loss_iou: 1.1509, d3.loss_cls: 1.9691, d3.loss_bbox: 0.7680, d3.loss_iou: 1.1404, d4.loss_cls: 1.9520, d4.loss_bbox: 0.7618, d4.loss_iou: 1.1339, loss: 23.5155, grad_norm: 15.5405 +2022-10-26 21:26:38,997 - mmdet - INFO - Epoch [26][650/1849] lr: 2.000e-04, eta: 1:44:18, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9512, loss_bbox: 0.7596, loss_iou: 1.1289, d0.loss_cls: 2.0569, d0.loss_bbox: 0.8118, d0.loss_iou: 1.1918, d1.loss_cls: 2.0230, d1.loss_bbox: 0.7931, d1.loss_iou: 1.1699, d2.loss_cls: 1.9930, d2.loss_bbox: 0.7779, d2.loss_iou: 1.1484, d3.loss_cls: 1.9723, d3.loss_bbox: 0.7677, d3.loss_iou: 1.1382, d4.loss_cls: 1.9601, d4.loss_bbox: 0.7616, d4.loss_iou: 1.1317, loss: 23.5373, grad_norm: 15.0659 +2022-10-26 21:26:45,693 - mmdet - INFO - Epoch [26][700/1849] lr: 2.000e-04, eta: 1:44:11, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9401, loss_bbox: 0.7556, loss_iou: 1.1302, d0.loss_cls: 2.0410, d0.loss_bbox: 0.8075, d0.loss_iou: 1.1920, d1.loss_cls: 2.0111, d1.loss_bbox: 0.7887, d1.loss_iou: 1.1687, d2.loss_cls: 1.9786, d2.loss_bbox: 0.7728, d2.loss_iou: 1.1486, d3.loss_cls: 1.9610, d3.loss_bbox: 0.7636, d3.loss_iou: 1.1397, d4.loss_cls: 1.9464, d4.loss_bbox: 0.7573, d4.loss_iou: 1.1329, loss: 23.4358, grad_norm: 14.0386 +2022-10-26 21:26:52,434 - mmdet - INFO - Epoch [26][750/1849] lr: 2.000e-04, eta: 1:44:04, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9479, loss_bbox: 0.7558, loss_iou: 1.1336, d0.loss_cls: 2.0528, d0.loss_bbox: 0.8097, d0.loss_iou: 1.1967, d1.loss_cls: 2.0201, d1.loss_bbox: 0.7901, d1.loss_iou: 1.1728, d2.loss_cls: 1.9890, d2.loss_bbox: 0.7738, d2.loss_iou: 1.1520, d3.loss_cls: 1.9704, d3.loss_bbox: 0.7636, d3.loss_iou: 1.1411, d4.loss_cls: 1.9563, d4.loss_bbox: 0.7577, d4.loss_iou: 1.1352, loss: 23.5187, grad_norm: 15.1533 +2022-10-26 21:26:59,124 - mmdet - INFO - Epoch [26][800/1849] lr: 2.000e-04, eta: 1:43:57, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9503, loss_bbox: 0.7563, loss_iou: 1.1341, d0.loss_cls: 2.0549, d0.loss_bbox: 0.8087, d0.loss_iou: 1.1980, d1.loss_cls: 2.0260, d1.loss_bbox: 0.7886, d1.loss_iou: 1.1753, d2.loss_cls: 1.9901, d2.loss_bbox: 0.7726, d2.loss_iou: 1.1539, d3.loss_cls: 1.9711, d3.loss_bbox: 0.7637, d3.loss_iou: 1.1430, d4.loss_cls: 1.9574, d4.loss_bbox: 0.7582, d4.loss_iou: 1.1362, loss: 23.5384, grad_norm: 16.1868 +2022-10-26 21:27:05,918 - mmdet - INFO - Epoch [26][850/1849] lr: 2.000e-04, eta: 1:43:50, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9447, loss_bbox: 0.7534, loss_iou: 1.1223, d0.loss_cls: 2.0500, d0.loss_bbox: 0.8053, d0.loss_iou: 1.1852, d1.loss_cls: 2.0187, d1.loss_bbox: 0.7875, d1.loss_iou: 1.1623, d2.loss_cls: 1.9844, d2.loss_bbox: 0.7708, d2.loss_iou: 1.1408, d3.loss_cls: 1.9661, d3.loss_bbox: 0.7610, d3.loss_iou: 1.1314, d4.loss_cls: 1.9526, d4.loss_bbox: 0.7554, d4.loss_iou: 1.1252, loss: 23.4170, grad_norm: 15.8446 +2022-10-26 21:27:12,985 - mmdet - INFO - Epoch [26][900/1849] lr: 2.000e-04, eta: 1:43:44, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9521, loss_bbox: 0.7592, loss_iou: 1.1274, d0.loss_cls: 2.0542, d0.loss_bbox: 0.8130, d0.loss_iou: 1.1898, d1.loss_cls: 2.0200, d1.loss_bbox: 0.7925, d1.loss_iou: 1.1673, d2.loss_cls: 1.9925, d2.loss_bbox: 0.7766, d2.loss_iou: 1.1456, d3.loss_cls: 1.9740, d3.loss_bbox: 0.7669, d3.loss_iou: 1.1354, d4.loss_cls: 1.9615, d4.loss_bbox: 0.7611, d4.loss_iou: 1.1301, loss: 23.5192, grad_norm: 14.8341 +2022-10-26 21:27:19,847 - mmdet - INFO - Epoch [26][950/1849] lr: 2.000e-04, eta: 1:43:37, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9605, loss_bbox: 0.7558, loss_iou: 1.1352, d0.loss_cls: 2.0681, d0.loss_bbox: 0.8069, d0.loss_iou: 1.1958, d1.loss_cls: 2.0319, d1.loss_bbox: 0.7882, d1.loss_iou: 1.1733, d2.loss_cls: 2.0026, d2.loss_bbox: 0.7730, d2.loss_iou: 1.1536, d3.loss_cls: 1.9817, d3.loss_bbox: 0.7631, d3.loss_iou: 1.1438, d4.loss_cls: 1.9694, d4.loss_bbox: 0.7575, d4.loss_iou: 1.1375, loss: 23.5980, grad_norm: 15.4205 +2022-10-26 21:27:26,717 - mmdet - INFO - Epoch [26][1000/1849] lr: 2.000e-04, eta: 1:43:30, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9561, loss_bbox: 0.7571, loss_iou: 1.1322, d0.loss_cls: 2.0585, d0.loss_bbox: 0.8103, d0.loss_iou: 1.1967, d1.loss_cls: 2.0277, d1.loss_bbox: 0.7910, d1.loss_iou: 1.1720, d2.loss_cls: 1.9956, d2.loss_bbox: 0.7740, d2.loss_iou: 1.1515, d3.loss_cls: 1.9766, d3.loss_bbox: 0.7647, d3.loss_iou: 1.1407, d4.loss_cls: 1.9629, d4.loss_bbox: 0.7588, d4.loss_iou: 1.1346, loss: 23.5610, grad_norm: 14.9473 +2022-10-26 21:27:33,565 - mmdet - INFO - Epoch [26][1050/1849] lr: 2.000e-04, eta: 1:43:23, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9584, loss_bbox: 0.7569, loss_iou: 1.1313, d0.loss_cls: 2.0602, d0.loss_bbox: 0.8083, d0.loss_iou: 1.1949, d1.loss_cls: 2.0287, d1.loss_bbox: 0.7891, d1.loss_iou: 1.1710, d2.loss_cls: 1.9983, d2.loss_bbox: 0.7736, d2.loss_iou: 1.1508, d3.loss_cls: 1.9796, d3.loss_bbox: 0.7641, d3.loss_iou: 1.1402, d4.loss_cls: 1.9641, d4.loss_bbox: 0.7586, d4.loss_iou: 1.1336, loss: 23.5618, grad_norm: 14.8450 +2022-10-26 21:27:40,548 - mmdet - INFO - Epoch [26][1100/1849] lr: 2.000e-04, eta: 1:43:16, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9425, loss_bbox: 0.7564, loss_iou: 1.1288, d0.loss_cls: 2.0443, d0.loss_bbox: 0.8092, d0.loss_iou: 1.1917, d1.loss_cls: 2.0099, d1.loss_bbox: 0.7897, d1.loss_iou: 1.1686, d2.loss_cls: 1.9819, d2.loss_bbox: 0.7735, d2.loss_iou: 1.1485, d3.loss_cls: 1.9630, d3.loss_bbox: 0.7645, d3.loss_iou: 1.1379, d4.loss_cls: 1.9496, d4.loss_bbox: 0.7586, d4.loss_iou: 1.1317, loss: 23.4502, grad_norm: 14.4483 +2022-10-26 21:27:47,484 - mmdet - INFO - Epoch [26][1150/1849] lr: 2.000e-04, eta: 1:43:10, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9477, loss_bbox: 0.7539, loss_iou: 1.1299, d0.loss_cls: 2.0559, d0.loss_bbox: 0.8069, d0.loss_iou: 1.1938, d1.loss_cls: 2.0201, d1.loss_bbox: 0.7881, d1.loss_iou: 1.1702, d2.loss_cls: 1.9872, d2.loss_bbox: 0.7720, d2.loss_iou: 1.1495, d3.loss_cls: 1.9688, d3.loss_bbox: 0.7616, d3.loss_iou: 1.1393, d4.loss_cls: 1.9562, d4.loss_bbox: 0.7555, d4.loss_iou: 1.1333, loss: 23.4897, grad_norm: 14.9710 +2022-10-26 21:27:54,559 - mmdet - INFO - Epoch [26][1200/1849] lr: 2.000e-04, eta: 1:43:03, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9540, loss_bbox: 0.7549, loss_iou: 1.1265, d0.loss_cls: 2.0553, d0.loss_bbox: 0.8071, d0.loss_iou: 1.1902, d1.loss_cls: 2.0233, d1.loss_bbox: 0.7881, d1.loss_iou: 1.1679, d2.loss_cls: 1.9925, d2.loss_bbox: 0.7723, d2.loss_iou: 1.1464, d3.loss_cls: 1.9758, d3.loss_bbox: 0.7621, d3.loss_iou: 1.1355, d4.loss_cls: 1.9628, d4.loss_bbox: 0.7571, d4.loss_iou: 1.1292, loss: 23.5011, grad_norm: 15.0768 +2022-10-26 21:28:01,464 - mmdet - INFO - Epoch [26][1250/1849] lr: 2.000e-04, eta: 1:42:56, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9482, loss_bbox: 0.7569, loss_iou: 1.1271, d0.loss_cls: 2.0546, d0.loss_bbox: 0.8095, d0.loss_iou: 1.1895, d1.loss_cls: 2.0194, d1.loss_bbox: 0.7899, d1.loss_iou: 1.1669, d2.loss_cls: 1.9879, d2.loss_bbox: 0.7740, d2.loss_iou: 1.1463, d3.loss_cls: 1.9710, d3.loss_bbox: 0.7647, d3.loss_iou: 1.1356, d4.loss_cls: 1.9554, d4.loss_bbox: 0.7590, d4.loss_iou: 1.1292, loss: 23.4850, grad_norm: 14.1186 +2022-10-26 21:28:08,243 - mmdet - INFO - Epoch [26][1300/1849] lr: 2.000e-04, eta: 1:42:49, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9554, loss_bbox: 0.7578, loss_iou: 1.1330, d0.loss_cls: 2.0576, d0.loss_bbox: 0.8095, d0.loss_iou: 1.1956, d1.loss_cls: 2.0267, d1.loss_bbox: 0.7898, d1.loss_iou: 1.1740, d2.loss_cls: 1.9971, d2.loss_bbox: 0.7749, d2.loss_iou: 1.1517, d3.loss_cls: 1.9771, d3.loss_bbox: 0.7654, d3.loss_iou: 1.1418, d4.loss_cls: 1.9635, d4.loss_bbox: 0.7597, d4.loss_iou: 1.1354, loss: 23.5659, grad_norm: 14.9615 +2022-10-26 21:28:15,083 - mmdet - INFO - Epoch [26][1350/1849] lr: 2.000e-04, eta: 1:42:42, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9445, loss_bbox: 0.7575, loss_iou: 1.1313, d0.loss_cls: 2.0449, d0.loss_bbox: 0.8096, d0.loss_iou: 1.1946, d1.loss_cls: 2.0109, d1.loss_bbox: 0.7909, d1.loss_iou: 1.1724, d2.loss_cls: 1.9809, d2.loss_bbox: 0.7748, d2.loss_iou: 1.1515, d3.loss_cls: 1.9634, d3.loss_bbox: 0.7651, d3.loss_iou: 1.1410, d4.loss_cls: 1.9525, d4.loss_bbox: 0.7595, d4.loss_iou: 1.1344, loss: 23.4799, grad_norm: 15.0161 +2022-10-26 21:28:21,997 - mmdet - INFO - Epoch [26][1400/1849] lr: 2.000e-04, eta: 1:42:35, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9451, loss_bbox: 0.7538, loss_iou: 1.1271, d0.loss_cls: 2.0445, d0.loss_bbox: 0.8059, d0.loss_iou: 1.1920, d1.loss_cls: 2.0139, d1.loss_bbox: 0.7872, d1.loss_iou: 1.1691, d2.loss_cls: 1.9859, d2.loss_bbox: 0.7713, d2.loss_iou: 1.1474, d3.loss_cls: 1.9635, d3.loss_bbox: 0.7610, d3.loss_iou: 1.1369, d4.loss_cls: 1.9516, d4.loss_bbox: 0.7558, d4.loss_iou: 1.1299, loss: 23.4419, grad_norm: 15.4867 +2022-10-26 21:28:29,049 - mmdet - INFO - Epoch [26][1450/1849] lr: 2.000e-04, eta: 1:42:29, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9629, loss_bbox: 0.7554, loss_iou: 1.1316, d0.loss_cls: 2.0685, d0.loss_bbox: 0.8069, d0.loss_iou: 1.1933, d1.loss_cls: 2.0364, d1.loss_bbox: 0.7882, d1.loss_iou: 1.1697, d2.loss_cls: 2.0051, d2.loss_bbox: 0.7718, d2.loss_iou: 1.1493, d3.loss_cls: 1.9852, d3.loss_bbox: 0.7626, d3.loss_iou: 1.1395, d4.loss_cls: 1.9715, d4.loss_bbox: 0.7573, d4.loss_iou: 1.1335, loss: 23.5888, grad_norm: 15.7723 +2022-10-26 21:28:36,099 - mmdet - INFO - Epoch [26][1500/1849] lr: 2.000e-04, eta: 1:42:22, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9481, loss_bbox: 0.7616, loss_iou: 1.1341, d0.loss_cls: 2.0515, d0.loss_bbox: 0.8138, d0.loss_iou: 1.1986, d1.loss_cls: 2.0202, d1.loss_bbox: 0.7950, d1.loss_iou: 1.1745, d2.loss_cls: 1.9877, d2.loss_bbox: 0.7794, d2.loss_iou: 1.1530, d3.loss_cls: 1.9700, d3.loss_bbox: 0.7693, d3.loss_iou: 1.1433, d4.loss_cls: 1.9557, d4.loss_bbox: 0.7637, d4.loss_iou: 1.1368, loss: 23.5563, grad_norm: 16.0771 +2022-10-26 21:28:42,995 - mmdet - INFO - Epoch [26][1550/1849] lr: 2.000e-04, eta: 1:42:15, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9601, loss_bbox: 0.7569, loss_iou: 1.1305, d0.loss_cls: 2.0635, d0.loss_bbox: 0.8108, d0.loss_iou: 1.1928, d1.loss_cls: 2.0303, d1.loss_bbox: 0.7912, d1.loss_iou: 1.1706, d2.loss_cls: 1.9991, d2.loss_bbox: 0.7744, d2.loss_iou: 1.1491, d3.loss_cls: 1.9822, d3.loss_bbox: 0.7641, d3.loss_iou: 1.1391, d4.loss_cls: 1.9675, d4.loss_bbox: 0.7590, d4.loss_iou: 1.1328, loss: 23.5741, grad_norm: 13.8210 +2022-10-26 21:28:49,792 - mmdet - INFO - Epoch [26][1600/1849] lr: 2.000e-04, eta: 1:42:08, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9632, loss_bbox: 0.7554, loss_iou: 1.1329, d0.loss_cls: 2.0644, d0.loss_bbox: 0.8057, d0.loss_iou: 1.1941, d1.loss_cls: 2.0315, d1.loss_bbox: 0.7888, d1.loss_iou: 1.1721, d2.loss_cls: 2.0018, d2.loss_bbox: 0.7732, d2.loss_iou: 1.1517, d3.loss_cls: 1.9809, d3.loss_bbox: 0.7632, d3.loss_iou: 1.1409, d4.loss_cls: 1.9686, d4.loss_bbox: 0.7573, d4.loss_iou: 1.1355, loss: 23.5813, grad_norm: 15.1975 +2022-10-26 21:28:56,626 - mmdet - INFO - Epoch [26][1650/1849] lr: 2.000e-04, eta: 1:42:01, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9521, loss_bbox: 0.7606, loss_iou: 1.1314, d0.loss_cls: 2.0558, d0.loss_bbox: 0.8134, d0.loss_iou: 1.1956, d1.loss_cls: 2.0228, d1.loss_bbox: 0.7942, d1.loss_iou: 1.1721, d2.loss_cls: 1.9931, d2.loss_bbox: 0.7781, d2.loss_iou: 1.1503, d3.loss_cls: 1.9749, d3.loss_bbox: 0.7684, d3.loss_iou: 1.1398, d4.loss_cls: 1.9608, d4.loss_bbox: 0.7624, d4.loss_iou: 1.1340, loss: 23.5599, grad_norm: 15.9333 +2022-10-26 21:29:03,395 - mmdet - INFO - Epoch [26][1700/1849] lr: 2.000e-04, eta: 1:41:54, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9356, loss_bbox: 0.7541, loss_iou: 1.1288, d0.loss_cls: 2.0412, d0.loss_bbox: 0.8065, d0.loss_iou: 1.1937, d1.loss_cls: 2.0069, d1.loss_bbox: 0.7878, d1.loss_iou: 1.1705, d2.loss_cls: 1.9748, d2.loss_bbox: 0.7716, d2.loss_iou: 1.1486, d3.loss_cls: 1.9573, d3.loss_bbox: 0.7616, d3.loss_iou: 1.1381, d4.loss_cls: 1.9430, d4.loss_bbox: 0.7558, d4.loss_iou: 1.1316, loss: 23.4076, grad_norm: 16.3522 +2022-10-26 21:29:09,940 - mmdet - INFO - Epoch [26][1750/1849] lr: 2.000e-04, eta: 1:41:47, time: 0.131, data_time: 0.004, memory: 4401, loss_cls: 1.9581, loss_bbox: 0.7589, loss_iou: 1.1332, d0.loss_cls: 2.0633, d0.loss_bbox: 0.8100, d0.loss_iou: 1.1941, d1.loss_cls: 2.0297, d1.loss_bbox: 0.7918, d1.loss_iou: 1.1712, d2.loss_cls: 1.9993, d2.loss_bbox: 0.7761, d2.loss_iou: 1.1506, d3.loss_cls: 1.9799, d3.loss_bbox: 0.7673, d3.loss_iou: 1.1415, d4.loss_cls: 1.9659, d4.loss_bbox: 0.7616, d4.loss_iou: 1.1351, loss: 23.5876, grad_norm: 17.4722 +2022-10-26 21:29:16,645 - mmdet - INFO - Epoch [26][1800/1849] lr: 2.000e-04, eta: 1:41:40, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9390, loss_bbox: 0.7565, loss_iou: 1.1274, d0.loss_cls: 2.0396, d0.loss_bbox: 0.8080, d0.loss_iou: 1.1901, d1.loss_cls: 2.0097, d1.loss_bbox: 0.7906, d1.loss_iou: 1.1676, d2.loss_cls: 1.9799, d2.loss_bbox: 0.7743, d2.loss_iou: 1.1455, d3.loss_cls: 1.9621, d3.loss_bbox: 0.7639, d3.loss_iou: 1.1359, d4.loss_cls: 1.9476, d4.loss_bbox: 0.7583, d4.loss_iou: 1.1299, loss: 23.4259, grad_norm: 15.6402 +2022-10-26 21:29:23,475 - mmdet - INFO - Saving checkpoint at 26 epochs +2022-10-26 21:29:34,268 - mmdet - INFO - Epoch [27][50/1849] lr: 2.000e-04, eta: 1:41:23, time: 0.203, data_time: 0.064, memory: 4401, loss_cls: 1.9317, loss_bbox: 0.7522, loss_iou: 1.1242, d0.loss_cls: 2.0363, d0.loss_bbox: 0.8067, d0.loss_iou: 1.1848, d1.loss_cls: 2.0021, d1.loss_bbox: 0.7864, d1.loss_iou: 1.1624, d2.loss_cls: 1.9699, d2.loss_bbox: 0.7699, d2.loss_iou: 1.1422, d3.loss_cls: 1.9519, d3.loss_bbox: 0.7603, d3.loss_iou: 1.1330, d4.loss_cls: 1.9399, d4.loss_bbox: 0.7541, d4.loss_iou: 1.1267, loss: 23.3347, grad_norm: 17.1420 +2022-10-26 21:29:41,393 - mmdet - INFO - Epoch [27][100/1849] lr: 2.000e-04, eta: 1:41:17, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9331, loss_bbox: 0.7541, loss_iou: 1.1282, d0.loss_cls: 2.0390, d0.loss_bbox: 0.8068, d0.loss_iou: 1.1934, d1.loss_cls: 2.0084, d1.loss_bbox: 0.7865, d1.loss_iou: 1.1678, d2.loss_cls: 1.9739, d2.loss_bbox: 0.7708, d2.loss_iou: 1.1473, d3.loss_cls: 1.9534, d3.loss_bbox: 0.7617, d3.loss_iou: 1.1373, d4.loss_cls: 1.9398, d4.loss_bbox: 0.7568, d4.loss_iou: 1.1305, loss: 23.3887, grad_norm: 15.0448 +2022-10-26 21:29:48,284 - mmdet - INFO - Epoch [27][150/1849] lr: 2.000e-04, eta: 1:41:10, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9368, loss_bbox: 0.7562, loss_iou: 1.1289, d0.loss_cls: 2.0379, d0.loss_bbox: 0.8096, d0.loss_iou: 1.1917, d1.loss_cls: 2.0100, d1.loss_bbox: 0.7895, d1.loss_iou: 1.1696, d2.loss_cls: 1.9795, d2.loss_bbox: 0.7732, d2.loss_iou: 1.1486, d3.loss_cls: 1.9589, d3.loss_bbox: 0.7643, d3.loss_iou: 1.1377, d4.loss_cls: 1.9435, d4.loss_bbox: 0.7583, d4.loss_iou: 1.1316, loss: 23.4260, grad_norm: 14.0765 +2022-10-26 21:29:55,124 - mmdet - INFO - Epoch [27][200/1849] lr: 2.000e-04, eta: 1:41:03, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9367, loss_bbox: 0.7577, loss_iou: 1.1284, d0.loss_cls: 2.0369, d0.loss_bbox: 0.8107, d0.loss_iou: 1.1911, d1.loss_cls: 2.0109, d1.loss_bbox: 0.7916, d1.loss_iou: 1.1677, d2.loss_cls: 1.9782, d2.loss_bbox: 0.7752, d2.loss_iou: 1.1464, d3.loss_cls: 1.9598, d3.loss_bbox: 0.7662, d3.loss_iou: 1.1369, d4.loss_cls: 1.9448, d4.loss_bbox: 0.7604, d4.loss_iou: 1.1299, loss: 23.4293, grad_norm: 15.4785 +2022-10-26 21:30:01,915 - mmdet - INFO - Epoch [27][250/1849] lr: 2.000e-04, eta: 1:40:56, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9376, loss_bbox: 0.7583, loss_iou: 1.1328, d0.loss_cls: 2.0459, d0.loss_bbox: 0.8104, d0.loss_iou: 1.1968, d1.loss_cls: 2.0094, d1.loss_bbox: 0.7911, d1.loss_iou: 1.1737, d2.loss_cls: 1.9790, d2.loss_bbox: 0.7751, d2.loss_iou: 1.1522, d3.loss_cls: 1.9595, d3.loss_bbox: 0.7649, d3.loss_iou: 1.1418, d4.loss_cls: 1.9456, d4.loss_bbox: 0.7599, d4.loss_iou: 1.1358, loss: 23.4699, grad_norm: 15.8631 +2022-10-26 21:30:08,845 - mmdet - INFO - Epoch [27][300/1849] lr: 2.000e-04, eta: 1:40:49, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9465, loss_bbox: 0.7528, loss_iou: 1.1292, d0.loss_cls: 2.0548, d0.loss_bbox: 0.8052, d0.loss_iou: 1.1935, d1.loss_cls: 2.0218, d1.loss_bbox: 0.7868, d1.loss_iou: 1.1708, d2.loss_cls: 1.9879, d2.loss_bbox: 0.7720, d2.loss_iou: 1.1493, d3.loss_cls: 1.9689, d3.loss_bbox: 0.7619, d3.loss_iou: 1.1392, d4.loss_cls: 1.9536, d4.loss_bbox: 0.7548, d4.loss_iou: 1.1322, loss: 23.4814, grad_norm: 15.1440 +2022-10-26 21:30:15,778 - mmdet - INFO - Epoch [27][350/1849] lr: 2.000e-04, eta: 1:40:43, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9379, loss_bbox: 0.7549, loss_iou: 1.1254, d0.loss_cls: 2.0429, d0.loss_bbox: 0.8088, d0.loss_iou: 1.1884, d1.loss_cls: 2.0087, d1.loss_bbox: 0.7893, d1.loss_iou: 1.1657, d2.loss_cls: 1.9775, d2.loss_bbox: 0.7736, d2.loss_iou: 1.1455, d3.loss_cls: 1.9592, d3.loss_bbox: 0.7631, d3.loss_iou: 1.1351, d4.loss_cls: 1.9450, d4.loss_bbox: 0.7573, d4.loss_iou: 1.1280, loss: 23.4063, grad_norm: 15.0444 +2022-10-26 21:30:22,764 - mmdet - INFO - Epoch [27][400/1849] lr: 2.000e-04, eta: 1:40:36, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9544, loss_bbox: 0.7571, loss_iou: 1.1301, d0.loss_cls: 2.0570, d0.loss_bbox: 0.8090, d0.loss_iou: 1.1944, d1.loss_cls: 2.0263, d1.loss_bbox: 0.7899, d1.loss_iou: 1.1707, d2.loss_cls: 1.9956, d2.loss_bbox: 0.7745, d2.loss_iou: 1.1494, d3.loss_cls: 1.9775, d3.loss_bbox: 0.7649, d3.loss_iou: 1.1388, d4.loss_cls: 1.9614, d4.loss_bbox: 0.7592, d4.loss_iou: 1.1330, loss: 23.5432, grad_norm: 14.8180 +2022-10-26 21:30:29,608 - mmdet - INFO - Epoch [27][450/1849] lr: 2.000e-04, eta: 1:40:29, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9545, loss_bbox: 0.7510, loss_iou: 1.1310, d0.loss_cls: 2.0632, d0.loss_bbox: 0.8032, d0.loss_iou: 1.1950, d1.loss_cls: 2.0274, d1.loss_bbox: 0.7848, d1.loss_iou: 1.1719, d2.loss_cls: 1.9948, d2.loss_bbox: 0.7687, d2.loss_iou: 1.1515, d3.loss_cls: 1.9781, d3.loss_bbox: 0.7584, d3.loss_iou: 1.1403, d4.loss_cls: 1.9634, d4.loss_bbox: 0.7528, d4.loss_iou: 1.1337, loss: 23.5238, grad_norm: 14.8500 +2022-10-26 21:30:36,604 - mmdet - INFO - Epoch [27][500/1849] lr: 2.000e-04, eta: 1:40:22, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9447, loss_bbox: 0.7550, loss_iou: 1.1265, d0.loss_cls: 2.0460, d0.loss_bbox: 0.8085, d0.loss_iou: 1.1895, d1.loss_cls: 2.0157, d1.loss_bbox: 0.7885, d1.loss_iou: 1.1670, d2.loss_cls: 1.9840, d2.loss_bbox: 0.7729, d2.loss_iou: 1.1469, d3.loss_cls: 1.9665, d3.loss_bbox: 0.7628, d3.loss_iou: 1.1357, d4.loss_cls: 1.9531, d4.loss_bbox: 0.7571, d4.loss_iou: 1.1291, loss: 23.4493, grad_norm: 15.6250 +2022-10-26 21:30:43,332 - mmdet - INFO - Epoch [27][550/1849] lr: 2.000e-04, eta: 1:40:15, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9447, loss_bbox: 0.7575, loss_iou: 1.1288, d0.loss_cls: 2.0507, d0.loss_bbox: 0.8085, d0.loss_iou: 1.1906, d1.loss_cls: 2.0172, d1.loss_bbox: 0.7903, d1.loss_iou: 1.1686, d2.loss_cls: 1.9856, d2.loss_bbox: 0.7754, d2.loss_iou: 1.1471, d3.loss_cls: 1.9654, d3.loss_bbox: 0.7653, d3.loss_iou: 1.1367, d4.loss_cls: 1.9525, d4.loss_bbox: 0.7598, d4.loss_iou: 1.1310, loss: 23.4757, grad_norm: 15.9639 +2022-10-26 21:30:50,217 - mmdet - INFO - Epoch [27][600/1849] lr: 2.000e-04, eta: 1:40:08, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9321, loss_bbox: 0.7545, loss_iou: 1.1297, d0.loss_cls: 2.0358, d0.loss_bbox: 0.8064, d0.loss_iou: 1.1924, d1.loss_cls: 2.0039, d1.loss_bbox: 0.7868, d1.loss_iou: 1.1701, d2.loss_cls: 1.9704, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1497, d3.loss_cls: 1.9531, d3.loss_bbox: 0.7620, d3.loss_iou: 1.1387, d4.loss_cls: 1.9409, d4.loss_bbox: 0.7561, d4.loss_iou: 1.1325, loss: 23.3859, grad_norm: 14.2752 +2022-10-26 21:30:57,213 - mmdet - INFO - Epoch [27][650/1849] lr: 2.000e-04, eta: 1:40:02, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9404, loss_bbox: 0.7529, loss_iou: 1.1254, d0.loss_cls: 2.0449, d0.loss_bbox: 0.8039, d0.loss_iou: 1.1885, d1.loss_cls: 2.0111, d1.loss_bbox: 0.7852, d1.loss_iou: 1.1665, d2.loss_cls: 1.9819, d2.loss_bbox: 0.7702, d2.loss_iou: 1.1453, d3.loss_cls: 1.9622, d3.loss_bbox: 0.7604, d3.loss_iou: 1.1350, d4.loss_cls: 1.9484, d4.loss_bbox: 0.7549, d4.loss_iou: 1.1282, loss: 23.4054, grad_norm: 14.5749 +2022-10-26 21:31:06,414 - mmdet - INFO - Epoch [27][700/1849] lr: 2.000e-04, eta: 1:39:57, time: 0.184, data_time: 0.005, memory: 4401, loss_cls: 1.9429, loss_bbox: 0.7558, loss_iou: 1.1277, d0.loss_cls: 2.0476, d0.loss_bbox: 0.8091, d0.loss_iou: 1.1916, d1.loss_cls: 2.0142, d1.loss_bbox: 0.7891, d1.loss_iou: 1.1682, d2.loss_cls: 1.9829, d2.loss_bbox: 0.7742, d2.loss_iou: 1.1477, d3.loss_cls: 1.9639, d3.loss_bbox: 0.7637, d3.loss_iou: 1.1367, d4.loss_cls: 1.9502, d4.loss_bbox: 0.7580, d4.loss_iou: 1.1305, loss: 23.4540, grad_norm: 15.8981 +2022-10-26 21:31:13,310 - mmdet - INFO - Epoch [27][750/1849] lr: 2.000e-04, eta: 1:39:50, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9407, loss_bbox: 0.7540, loss_iou: 1.1284, d0.loss_cls: 2.0448, d0.loss_bbox: 0.8063, d0.loss_iou: 1.1936, d1.loss_cls: 2.0155, d1.loss_bbox: 0.7874, d1.loss_iou: 1.1711, d2.loss_cls: 1.9806, d2.loss_bbox: 0.7720, d2.loss_iou: 1.1490, d3.loss_cls: 1.9635, d3.loss_bbox: 0.7625, d3.loss_iou: 1.1373, d4.loss_cls: 1.9491, d4.loss_bbox: 0.7558, d4.loss_iou: 1.1317, loss: 23.4433, grad_norm: 16.0868 +2022-10-26 21:31:20,081 - mmdet - INFO - Epoch [27][800/1849] lr: 2.000e-04, eta: 1:39:43, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9476, loss_bbox: 0.7575, loss_iou: 1.1306, d0.loss_cls: 2.0536, d0.loss_bbox: 0.8094, d0.loss_iou: 1.1948, d1.loss_cls: 2.0152, d1.loss_bbox: 0.7893, d1.loss_iou: 1.1713, d2.loss_cls: 1.9844, d2.loss_bbox: 0.7748, d2.loss_iou: 1.1494, d3.loss_cls: 1.9673, d3.loss_bbox: 0.7650, d3.loss_iou: 1.1400, d4.loss_cls: 1.9537, d4.loss_bbox: 0.7589, d4.loss_iou: 1.1335, loss: 23.4964, grad_norm: 14.9703 +2022-10-26 21:31:26,963 - mmdet - INFO - Epoch [27][850/1849] lr: 2.000e-04, eta: 1:39:36, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9456, loss_bbox: 0.7523, loss_iou: 1.1267, d0.loss_cls: 2.0539, d0.loss_bbox: 0.8056, d0.loss_iou: 1.1915, d1.loss_cls: 2.0193, d1.loss_bbox: 0.7865, d1.loss_iou: 1.1673, d2.loss_cls: 1.9873, d2.loss_bbox: 0.7704, d2.loss_iou: 1.1455, d3.loss_cls: 1.9671, d3.loss_bbox: 0.7617, d3.loss_iou: 1.1354, d4.loss_cls: 1.9531, d4.loss_bbox: 0.7549, d4.loss_iou: 1.1295, loss: 23.4536, grad_norm: 15.7295 +2022-10-26 21:31:33,788 - mmdet - INFO - Epoch [27][900/1849] lr: 2.000e-04, eta: 1:39:29, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9532, loss_bbox: 0.7584, loss_iou: 1.1296, d0.loss_cls: 2.0552, d0.loss_bbox: 0.8113, d0.loss_iou: 1.1955, d1.loss_cls: 2.0245, d1.loss_bbox: 0.7915, d1.loss_iou: 1.1709, d2.loss_cls: 1.9901, d2.loss_bbox: 0.7760, d2.loss_iou: 1.1497, d3.loss_cls: 1.9722, d3.loss_bbox: 0.7657, d3.loss_iou: 1.1396, d4.loss_cls: 1.9596, d4.loss_bbox: 0.7600, d4.loss_iou: 1.1324, loss: 23.5355, grad_norm: 15.8813 +2022-10-26 21:31:40,610 - mmdet - INFO - Epoch [27][950/1849] lr: 2.000e-04, eta: 1:39:22, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9570, loss_bbox: 0.7620, loss_iou: 1.1300, d0.loss_cls: 2.0568, d0.loss_bbox: 0.8141, d0.loss_iou: 1.1958, d1.loss_cls: 2.0244, d1.loss_bbox: 0.7949, d1.loss_iou: 1.1719, d2.loss_cls: 1.9954, d2.loss_bbox: 0.7790, d2.loss_iou: 1.1502, d3.loss_cls: 1.9754, d3.loss_bbox: 0.7698, d3.loss_iou: 1.1395, d4.loss_cls: 1.9644, d4.loss_bbox: 0.7643, d4.loss_iou: 1.1320, loss: 23.5770, grad_norm: 15.7838 +2022-10-26 21:31:47,396 - mmdet - INFO - Epoch [27][1000/1849] lr: 2.000e-04, eta: 1:39:16, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9561, loss_bbox: 0.7552, loss_iou: 1.1287, d0.loss_cls: 2.0618, d0.loss_bbox: 0.8065, d0.loss_iou: 1.1920, d1.loss_cls: 2.0264, d1.loss_bbox: 0.7891, d1.loss_iou: 1.1684, d2.loss_cls: 1.9975, d2.loss_bbox: 0.7728, d2.loss_iou: 1.1472, d3.loss_cls: 1.9795, d3.loss_bbox: 0.7636, d3.loss_iou: 1.1374, d4.loss_cls: 1.9666, d4.loss_bbox: 0.7571, d4.loss_iou: 1.1308, loss: 23.5367, grad_norm: 15.3613 +2022-10-26 21:31:54,383 - mmdet - INFO - Epoch [27][1050/1849] lr: 2.000e-04, eta: 1:39:09, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9558, loss_bbox: 0.7551, loss_iou: 1.1297, d0.loss_cls: 2.0600, d0.loss_bbox: 0.8092, d0.loss_iou: 1.1925, d1.loss_cls: 2.0262, d1.loss_bbox: 0.7895, d1.loss_iou: 1.1696, d2.loss_cls: 1.9936, d2.loss_bbox: 0.7734, d2.loss_iou: 1.1483, d3.loss_cls: 1.9747, d3.loss_bbox: 0.7639, d3.loss_iou: 1.1383, d4.loss_cls: 1.9631, d4.loss_bbox: 0.7574, d4.loss_iou: 1.1331, loss: 23.5334, grad_norm: 15.9007 +2022-10-26 21:32:01,305 - mmdet - INFO - Epoch [27][1100/1849] lr: 2.000e-04, eta: 1:39:02, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9357, loss_bbox: 0.7530, loss_iou: 1.1312, d0.loss_cls: 2.0425, d0.loss_bbox: 0.8059, d0.loss_iou: 1.1956, d1.loss_cls: 2.0088, d1.loss_bbox: 0.7879, d1.loss_iou: 1.1720, d2.loss_cls: 1.9774, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1507, d3.loss_cls: 1.9566, d3.loss_bbox: 0.7611, d3.loss_iou: 1.1400, d4.loss_cls: 1.9422, d4.loss_bbox: 0.7553, d4.loss_iou: 1.1333, loss: 23.4202, grad_norm: 15.2570 +2022-10-26 21:32:07,966 - mmdet - INFO - Epoch [27][1150/1849] lr: 2.000e-04, eta: 1:38:55, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.9551, loss_bbox: 0.7555, loss_iou: 1.1294, d0.loss_cls: 2.0606, d0.loss_bbox: 0.8086, d0.loss_iou: 1.1917, d1.loss_cls: 2.0275, d1.loss_bbox: 0.7883, d1.loss_iou: 1.1690, d2.loss_cls: 1.9960, d2.loss_bbox: 0.7730, d2.loss_iou: 1.1477, d3.loss_cls: 1.9769, d3.loss_bbox: 0.7633, d3.loss_iou: 1.1374, d4.loss_cls: 1.9634, d4.loss_bbox: 0.7569, d4.loss_iou: 1.1320, loss: 23.5323, grad_norm: 14.4953 +2022-10-26 21:32:14,646 - mmdet - INFO - Epoch [27][1200/1849] lr: 2.000e-04, eta: 1:38:48, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.9462, loss_bbox: 0.7563, loss_iou: 1.1269, d0.loss_cls: 2.0493, d0.loss_bbox: 0.8087, d0.loss_iou: 1.1930, d1.loss_cls: 2.0189, d1.loss_bbox: 0.7895, d1.loss_iou: 1.1685, d2.loss_cls: 1.9860, d2.loss_bbox: 0.7743, d2.loss_iou: 1.1464, d3.loss_cls: 1.9662, d3.loss_bbox: 0.7644, d3.loss_iou: 1.1363, d4.loss_cls: 1.9541, d4.loss_bbox: 0.7590, d4.loss_iou: 1.1294, loss: 23.4733, grad_norm: 14.9075 +2022-10-26 21:32:21,397 - mmdet - INFO - Epoch [27][1250/1849] lr: 2.000e-04, eta: 1:38:41, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9401, loss_bbox: 0.7595, loss_iou: 1.1347, d0.loss_cls: 2.0374, d0.loss_bbox: 0.8124, d0.loss_iou: 1.1968, d1.loss_cls: 2.0083, d1.loss_bbox: 0.7921, d1.loss_iou: 1.1745, d2.loss_cls: 1.9767, d2.loss_bbox: 0.7772, d2.loss_iou: 1.1540, d3.loss_cls: 1.9590, d3.loss_bbox: 0.7676, d3.loss_iou: 1.1435, d4.loss_cls: 1.9470, d4.loss_bbox: 0.7611, d4.loss_iou: 1.1373, loss: 23.4790, grad_norm: 14.5639 +2022-10-26 21:32:28,395 - mmdet - INFO - Epoch [27][1300/1849] lr: 2.000e-04, eta: 1:38:34, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9492, loss_bbox: 0.7575, loss_iou: 1.1308, d0.loss_cls: 2.0524, d0.loss_bbox: 0.8090, d0.loss_iou: 1.1927, d1.loss_cls: 2.0192, d1.loss_bbox: 0.7920, d1.loss_iou: 1.1701, d2.loss_cls: 1.9896, d2.loss_bbox: 0.7761, d2.loss_iou: 1.1491, d3.loss_cls: 1.9709, d3.loss_bbox: 0.7655, d3.loss_iou: 1.1392, d4.loss_cls: 1.9585, d4.loss_bbox: 0.7596, d4.loss_iou: 1.1331, loss: 23.5142, grad_norm: 16.3070 +2022-10-26 21:32:35,335 - mmdet - INFO - Epoch [27][1350/1849] lr: 2.000e-04, eta: 1:38:27, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9498, loss_bbox: 0.7566, loss_iou: 1.1259, d0.loss_cls: 2.0556, d0.loss_bbox: 0.8086, d0.loss_iou: 1.1897, d1.loss_cls: 2.0212, d1.loss_bbox: 0.7900, d1.loss_iou: 1.1664, d2.loss_cls: 1.9893, d2.loss_bbox: 0.7736, d2.loss_iou: 1.1444, d3.loss_cls: 1.9710, d3.loss_bbox: 0.7638, d3.loss_iou: 1.1346, d4.loss_cls: 1.9573, d4.loss_bbox: 0.7585, d4.loss_iou: 1.1286, loss: 23.4849, grad_norm: 15.3498 +2022-10-26 21:32:42,229 - mmdet - INFO - Epoch [27][1400/1849] lr: 2.000e-04, eta: 1:38:21, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9542, loss_bbox: 0.7561, loss_iou: 1.1258, d0.loss_cls: 2.0594, d0.loss_bbox: 0.8087, d0.loss_iou: 1.1893, d1.loss_cls: 2.0309, d1.loss_bbox: 0.7894, d1.loss_iou: 1.1643, d2.loss_cls: 1.9979, d2.loss_bbox: 0.7740, d2.loss_iou: 1.1435, d3.loss_cls: 1.9786, d3.loss_bbox: 0.7639, d3.loss_iou: 1.1345, d4.loss_cls: 1.9625, d4.loss_bbox: 0.7579, d4.loss_iou: 1.1279, loss: 23.5187, grad_norm: 15.3082 +2022-10-26 21:32:49,172 - mmdet - INFO - Epoch [27][1450/1849] lr: 2.000e-04, eta: 1:38:14, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9418, loss_bbox: 0.7578, loss_iou: 1.1274, d0.loss_cls: 2.0437, d0.loss_bbox: 0.8076, d0.loss_iou: 1.1902, d1.loss_cls: 2.0119, d1.loss_bbox: 0.7887, d1.loss_iou: 1.1667, d2.loss_cls: 1.9820, d2.loss_bbox: 0.7744, d2.loss_iou: 1.1454, d3.loss_cls: 1.9615, d3.loss_bbox: 0.7650, d3.loss_iou: 1.1358, d4.loss_cls: 1.9507, d4.loss_bbox: 0.7596, d4.loss_iou: 1.1298, loss: 23.4397, grad_norm: 15.1301 +2022-10-26 21:32:56,008 - mmdet - INFO - Epoch [27][1500/1849] lr: 2.000e-04, eta: 1:38:07, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9455, loss_bbox: 0.7520, loss_iou: 1.1250, d0.loss_cls: 2.0486, d0.loss_bbox: 0.8049, d0.loss_iou: 1.1885, d1.loss_cls: 2.0213, d1.loss_bbox: 0.7850, d1.loss_iou: 1.1646, d2.loss_cls: 1.9881, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1422, d3.loss_cls: 1.9666, d3.loss_bbox: 0.7592, d3.loss_iou: 1.1327, d4.loss_cls: 1.9527, d4.loss_bbox: 0.7538, d4.loss_iou: 1.1272, loss: 23.4268, grad_norm: 15.0931 +2022-10-26 21:33:02,945 - mmdet - INFO - Epoch [27][1550/1849] lr: 2.000e-04, eta: 1:38:00, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9523, loss_bbox: 0.7579, loss_iou: 1.1306, d0.loss_cls: 2.0547, d0.loss_bbox: 0.8096, d0.loss_iou: 1.1935, d1.loss_cls: 2.0222, d1.loss_bbox: 0.7918, d1.loss_iou: 1.1711, d2.loss_cls: 1.9911, d2.loss_bbox: 0.7760, d2.loss_iou: 1.1497, d3.loss_cls: 1.9755, d3.loss_bbox: 0.7659, d3.loss_iou: 1.1385, d4.loss_cls: 1.9615, d4.loss_bbox: 0.7599, d4.loss_iou: 1.1335, loss: 23.5355, grad_norm: 15.3756 +2022-10-26 21:33:09,969 - mmdet - INFO - Epoch [27][1600/1849] lr: 2.000e-04, eta: 1:37:53, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9504, loss_bbox: 0.7551, loss_iou: 1.1306, d0.loss_cls: 2.0573, d0.loss_bbox: 0.8075, d0.loss_iou: 1.1925, d1.loss_cls: 2.0231, d1.loss_bbox: 0.7892, d1.loss_iou: 1.1692, d2.loss_cls: 1.9894, d2.loss_bbox: 0.7731, d2.loss_iou: 1.1486, d3.loss_cls: 1.9706, d3.loss_bbox: 0.7625, d3.loss_iou: 1.1386, d4.loss_cls: 1.9585, d4.loss_bbox: 0.7572, d4.loss_iou: 1.1331, loss: 23.5066, grad_norm: 16.3828 +2022-10-26 21:33:16,850 - mmdet - INFO - Epoch [27][1650/1849] lr: 2.000e-04, eta: 1:37:46, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9479, loss_bbox: 0.7545, loss_iou: 1.1285, d0.loss_cls: 2.0489, d0.loss_bbox: 0.8067, d0.loss_iou: 1.1916, d1.loss_cls: 2.0150, d1.loss_bbox: 0.7863, d1.loss_iou: 1.1678, d2.loss_cls: 1.9837, d2.loss_bbox: 0.7712, d2.loss_iou: 1.1473, d3.loss_cls: 1.9676, d3.loss_bbox: 0.7616, d3.loss_iou: 1.1369, d4.loss_cls: 1.9562, d4.loss_bbox: 0.7563, d4.loss_iou: 1.1308, loss: 23.4588, grad_norm: 13.7042 +2022-10-26 21:33:23,803 - mmdet - INFO - Epoch [27][1700/1849] lr: 2.000e-04, eta: 1:37:40, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9679, loss_bbox: 0.7588, loss_iou: 1.1336, d0.loss_cls: 2.0695, d0.loss_bbox: 0.8104, d0.loss_iou: 1.1968, d1.loss_cls: 2.0359, d1.loss_bbox: 0.7915, d1.loss_iou: 1.1723, d2.loss_cls: 2.0082, d2.loss_bbox: 0.7755, d2.loss_iou: 1.1514, d3.loss_cls: 1.9907, d3.loss_bbox: 0.7666, d3.loss_iou: 1.1409, d4.loss_cls: 1.9749, d4.loss_bbox: 0.7612, d4.loss_iou: 1.1355, loss: 23.6416, grad_norm: 17.9636 +2022-10-26 21:33:30,622 - mmdet - INFO - Epoch [27][1750/1849] lr: 2.000e-04, eta: 1:37:33, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9611, loss_bbox: 0.7578, loss_iou: 1.1293, d0.loss_cls: 2.0670, d0.loss_bbox: 0.8091, d0.loss_iou: 1.1918, d1.loss_cls: 2.0337, d1.loss_bbox: 0.7910, d1.loss_iou: 1.1706, d2.loss_cls: 2.0036, d2.loss_bbox: 0.7758, d2.loss_iou: 1.1485, d3.loss_cls: 1.9831, d3.loss_bbox: 0.7658, d3.loss_iou: 1.1387, d4.loss_cls: 1.9694, d4.loss_bbox: 0.7598, d4.loss_iou: 1.1320, loss: 23.5880, grad_norm: 15.9601 +2022-10-26 21:33:37,533 - mmdet - INFO - Epoch [27][1800/1849] lr: 2.000e-04, eta: 1:37:26, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9359, loss_bbox: 0.7536, loss_iou: 1.1255, d0.loss_cls: 2.0382, d0.loss_bbox: 0.8070, d0.loss_iou: 1.1898, d1.loss_cls: 2.0066, d1.loss_bbox: 0.7869, d1.loss_iou: 1.1666, d2.loss_cls: 1.9772, d2.loss_bbox: 0.7711, d2.loss_iou: 1.1444, d3.loss_cls: 1.9574, d3.loss_bbox: 0.7615, d3.loss_iou: 1.1341, d4.loss_cls: 1.9441, d4.loss_bbox: 0.7557, d4.loss_iou: 1.1276, loss: 23.3832, grad_norm: 15.2135 +2022-10-26 21:33:44,376 - mmdet - INFO - Saving checkpoint at 27 epochs +2022-10-26 21:33:55,000 - mmdet - INFO - Epoch [28][50/1849] lr: 2.000e-04, eta: 1:37:09, time: 0.200, data_time: 0.063, memory: 4401, loss_cls: 1.9294, loss_bbox: 0.7522, loss_iou: 1.1303, d0.loss_cls: 2.0384, d0.loss_bbox: 0.8067, d0.loss_iou: 1.1946, d1.loss_cls: 2.0053, d1.loss_bbox: 0.7867, d1.loss_iou: 1.1712, d2.loss_cls: 1.9735, d2.loss_bbox: 0.7699, d2.loss_iou: 1.1492, d3.loss_cls: 1.9526, d3.loss_bbox: 0.7605, d3.loss_iou: 1.1386, d4.loss_cls: 1.9374, d4.loss_bbox: 0.7542, d4.loss_iou: 1.1327, loss: 23.3833, grad_norm: 14.4123 +2022-10-26 21:34:02,033 - mmdet - INFO - Epoch [28][100/1849] lr: 2.000e-04, eta: 1:37:03, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9219, loss_bbox: 0.7513, loss_iou: 1.1241, d0.loss_cls: 2.0300, d0.loss_bbox: 0.8037, d0.loss_iou: 1.1891, d1.loss_cls: 1.9921, d1.loss_bbox: 0.7858, d1.loss_iou: 1.1662, d2.loss_cls: 1.9645, d2.loss_bbox: 0.7686, d2.loss_iou: 1.1435, d3.loss_cls: 1.9412, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1330, d4.loss_cls: 1.9295, d4.loss_bbox: 0.7535, d4.loss_iou: 1.1264, loss: 23.2838, grad_norm: 13.9938 +2022-10-26 21:34:09,260 - mmdet - INFO - Epoch [28][150/1849] lr: 2.000e-04, eta: 1:36:56, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9418, loss_bbox: 0.7498, loss_iou: 1.1235, d0.loss_cls: 2.0484, d0.loss_bbox: 0.8062, d0.loss_iou: 1.1879, d1.loss_cls: 2.0132, d1.loss_bbox: 0.7853, d1.loss_iou: 1.1649, d2.loss_cls: 1.9804, d2.loss_bbox: 0.7684, d2.loss_iou: 1.1435, d3.loss_cls: 1.9641, d3.loss_bbox: 0.7581, d3.loss_iou: 1.1327, d4.loss_cls: 1.9494, d4.loss_bbox: 0.7526, d4.loss_iou: 1.1256, loss: 23.3957, grad_norm: 14.3355 +2022-10-26 21:34:16,298 - mmdet - INFO - Epoch [28][200/1849] lr: 2.000e-04, eta: 1:36:49, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9524, loss_bbox: 0.7597, loss_iou: 1.1270, d0.loss_cls: 2.0606, d0.loss_bbox: 0.8119, d0.loss_iou: 1.1904, d1.loss_cls: 2.0244, d1.loss_bbox: 0.7943, d1.loss_iou: 1.1681, d2.loss_cls: 1.9925, d2.loss_bbox: 0.7778, d2.loss_iou: 1.1462, d3.loss_cls: 1.9758, d3.loss_bbox: 0.7685, d3.loss_iou: 1.1355, d4.loss_cls: 1.9597, d4.loss_bbox: 0.7620, d4.loss_iou: 1.1296, loss: 23.5364, grad_norm: 15.2525 +2022-10-26 21:34:23,240 - mmdet - INFO - Epoch [28][250/1849] lr: 2.000e-04, eta: 1:36:42, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9429, loss_bbox: 0.7638, loss_iou: 1.1355, d0.loss_cls: 2.0467, d0.loss_bbox: 0.8159, d0.loss_iou: 1.1993, d1.loss_cls: 2.0142, d1.loss_bbox: 0.7979, d1.loss_iou: 1.1739, d2.loss_cls: 1.9851, d2.loss_bbox: 0.7808, d2.loss_iou: 1.1542, d3.loss_cls: 1.9662, d3.loss_bbox: 0.7712, d3.loss_iou: 1.1435, d4.loss_cls: 1.9504, d4.loss_bbox: 0.7651, d4.loss_iou: 1.1374, loss: 23.5439, grad_norm: 16.8993 +2022-10-26 21:34:30,138 - mmdet - INFO - Epoch [28][300/1849] lr: 2.000e-04, eta: 1:36:36, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9276, loss_bbox: 0.7524, loss_iou: 1.1233, d0.loss_cls: 2.0320, d0.loss_bbox: 0.8063, d0.loss_iou: 1.1885, d1.loss_cls: 2.0034, d1.loss_bbox: 0.7879, d1.loss_iou: 1.1647, d2.loss_cls: 1.9736, d2.loss_bbox: 0.7710, d2.loss_iou: 1.1430, d3.loss_cls: 1.9504, d3.loss_bbox: 0.7604, d3.loss_iou: 1.1323, d4.loss_cls: 1.9362, d4.loss_bbox: 0.7542, d4.loss_iou: 1.1254, loss: 23.3325, grad_norm: 15.5856 +2022-10-26 21:34:37,092 - mmdet - INFO - Epoch [28][350/1849] lr: 2.000e-04, eta: 1:36:29, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9457, loss_bbox: 0.7542, loss_iou: 1.1279, d0.loss_cls: 2.0486, d0.loss_bbox: 0.8086, d0.loss_iou: 1.1929, d1.loss_cls: 2.0162, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1687, d2.loss_cls: 1.9849, d2.loss_bbox: 0.7723, d2.loss_iou: 1.1482, d3.loss_cls: 1.9688, d3.loss_bbox: 0.7623, d3.loss_iou: 1.1373, d4.loss_cls: 1.9525, d4.loss_bbox: 0.7556, d4.loss_iou: 1.1308, loss: 23.4628, grad_norm: 15.1774 +2022-10-26 21:34:44,164 - mmdet - INFO - Epoch [28][400/1849] lr: 2.000e-04, eta: 1:36:22, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9389, loss_bbox: 0.7548, loss_iou: 1.1259, d0.loss_cls: 2.0478, d0.loss_bbox: 0.8092, d0.loss_iou: 1.1917, d1.loss_cls: 2.0146, d1.loss_bbox: 0.7884, d1.loss_iou: 1.1675, d2.loss_cls: 1.9794, d2.loss_bbox: 0.7723, d2.loss_iou: 1.1463, d3.loss_cls: 1.9635, d3.loss_bbox: 0.7625, d3.loss_iou: 1.1350, d4.loss_cls: 1.9471, d4.loss_bbox: 0.7566, d4.loss_iou: 1.1285, loss: 23.4298, grad_norm: 15.3044 +2022-10-26 21:34:51,223 - mmdet - INFO - Epoch [28][450/1849] lr: 2.000e-04, eta: 1:36:15, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9480, loss_bbox: 0.7583, loss_iou: 1.1327, d0.loss_cls: 2.0565, d0.loss_bbox: 0.8115, d0.loss_iou: 1.1981, d1.loss_cls: 2.0184, d1.loss_bbox: 0.7909, d1.loss_iou: 1.1737, d2.loss_cls: 1.9861, d2.loss_bbox: 0.7759, d2.loss_iou: 1.1527, d3.loss_cls: 1.9693, d3.loss_bbox: 0.7661, d3.loss_iou: 1.1420, d4.loss_cls: 1.9563, d4.loss_bbox: 0.7597, d4.loss_iou: 1.1355, loss: 23.5317, grad_norm: 15.7222 +2022-10-26 21:34:58,100 - mmdet - INFO - Epoch [28][500/1849] lr: 2.000e-04, eta: 1:36:09, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9309, loss_bbox: 0.7527, loss_iou: 1.1240, d0.loss_cls: 2.0358, d0.loss_bbox: 0.8055, d0.loss_iou: 1.1883, d1.loss_cls: 2.0005, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1642, d2.loss_cls: 1.9718, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1429, d3.loss_cls: 1.9536, d3.loss_bbox: 0.7614, d3.loss_iou: 1.1325, d4.loss_cls: 1.9417, d4.loss_bbox: 0.7552, d4.loss_iou: 1.1260, loss: 23.3436, grad_norm: 15.9658 +2022-10-26 21:35:04,933 - mmdet - INFO - Epoch [28][550/1849] lr: 2.000e-04, eta: 1:36:02, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9507, loss_bbox: 0.7527, loss_iou: 1.1264, d0.loss_cls: 2.0590, d0.loss_bbox: 0.8048, d0.loss_iou: 1.1908, d1.loss_cls: 2.0231, d1.loss_bbox: 0.7851, d1.loss_iou: 1.1682, d2.loss_cls: 1.9913, d2.loss_bbox: 0.7703, d2.loss_iou: 1.1466, d3.loss_cls: 1.9733, d3.loss_bbox: 0.7599, d3.loss_iou: 1.1360, d4.loss_cls: 1.9595, d4.loss_bbox: 0.7545, d4.loss_iou: 1.1291, loss: 23.4811, grad_norm: 16.0162 +2022-10-26 21:35:12,005 - mmdet - INFO - Epoch [28][600/1849] lr: 2.000e-04, eta: 1:35:55, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9356, loss_bbox: 0.7492, loss_iou: 1.1242, d0.loss_cls: 2.0423, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1885, d1.loss_cls: 2.0094, d1.loss_bbox: 0.7840, d1.loss_iou: 1.1650, d2.loss_cls: 1.9751, d2.loss_bbox: 0.7676, d2.loss_iou: 1.1439, d3.loss_cls: 1.9568, d3.loss_bbox: 0.7573, d3.loss_iou: 1.1338, d4.loss_cls: 1.9451, d4.loss_bbox: 0.7507, d4.loss_iou: 1.1265, loss: 23.3586, grad_norm: 15.2370 +2022-10-26 21:35:19,099 - mmdet - INFO - Epoch [28][650/1849] lr: 2.000e-04, eta: 1:35:48, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9583, loss_bbox: 0.7571, loss_iou: 1.1296, d0.loss_cls: 2.0674, d0.loss_bbox: 0.8091, d0.loss_iou: 1.1952, d1.loss_cls: 2.0303, d1.loss_bbox: 0.7907, d1.loss_iou: 1.1692, d2.loss_cls: 1.9981, d2.loss_bbox: 0.7747, d2.loss_iou: 1.1494, d3.loss_cls: 1.9797, d3.loss_bbox: 0.7645, d3.loss_iou: 1.1389, d4.loss_cls: 1.9659, d4.loss_bbox: 0.7593, d4.loss_iou: 1.1324, loss: 23.5697, grad_norm: 15.8129 +2022-10-26 21:35:26,026 - mmdet - INFO - Epoch [28][700/1849] lr: 2.000e-04, eta: 1:35:42, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9488, loss_bbox: 0.7540, loss_iou: 1.1323, d0.loss_cls: 2.0606, d0.loss_bbox: 0.8084, d0.loss_iou: 1.1951, d1.loss_cls: 2.0214, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1730, d2.loss_cls: 1.9906, d2.loss_bbox: 0.7717, d2.loss_iou: 1.1508, d3.loss_cls: 1.9705, d3.loss_bbox: 0.7615, d3.loss_iou: 1.1407, d4.loss_cls: 1.9563, d4.loss_bbox: 0.7563, d4.loss_iou: 1.1346, loss: 23.5147, grad_norm: 15.8578 +2022-10-26 21:35:32,975 - mmdet - INFO - Epoch [28][750/1849] lr: 2.000e-04, eta: 1:35:35, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9289, loss_bbox: 0.7494, loss_iou: 1.1226, d0.loss_cls: 2.0375, d0.loss_bbox: 0.8021, d0.loss_iou: 1.1871, d1.loss_cls: 2.0054, d1.loss_bbox: 0.7839, d1.loss_iou: 1.1636, d2.loss_cls: 1.9738, d2.loss_bbox: 0.7683, d2.loss_iou: 1.1420, d3.loss_cls: 1.9498, d3.loss_bbox: 0.7575, d3.loss_iou: 1.1316, d4.loss_cls: 1.9353, d4.loss_bbox: 0.7515, d4.loss_iou: 1.1250, loss: 23.3154, grad_norm: 17.0356 +2022-10-26 21:35:39,923 - mmdet - INFO - Epoch [28][800/1849] lr: 2.000e-04, eta: 1:35:28, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9303, loss_bbox: 0.7526, loss_iou: 1.1217, d0.loss_cls: 2.0380, d0.loss_bbox: 0.8048, d0.loss_iou: 1.1848, d1.loss_cls: 2.0049, d1.loss_bbox: 0.7863, d1.loss_iou: 1.1627, d2.loss_cls: 1.9719, d2.loss_bbox: 0.7695, d2.loss_iou: 1.1419, d3.loss_cls: 1.9526, d3.loss_bbox: 0.7598, d3.loss_iou: 1.1310, d4.loss_cls: 1.9394, d4.loss_bbox: 0.7548, d4.loss_iou: 1.1245, loss: 23.3313, grad_norm: 15.4988 +2022-10-26 21:35:46,787 - mmdet - INFO - Epoch [28][850/1849] lr: 2.000e-04, eta: 1:35:21, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9449, loss_bbox: 0.7594, loss_iou: 1.1279, d0.loss_cls: 2.0507, d0.loss_bbox: 0.8124, d0.loss_iou: 1.1917, d1.loss_cls: 2.0171, d1.loss_bbox: 0.7932, d1.loss_iou: 1.1681, d2.loss_cls: 1.9856, d2.loss_bbox: 0.7766, d2.loss_iou: 1.1476, d3.loss_cls: 1.9667, d3.loss_bbox: 0.7672, d3.loss_iou: 1.1377, d4.loss_cls: 1.9524, d4.loss_bbox: 0.7610, d4.loss_iou: 1.1308, loss: 23.4910, grad_norm: 14.8184 +2022-10-26 21:35:53,673 - mmdet - INFO - Epoch [28][900/1849] lr: 2.000e-04, eta: 1:35:14, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9320, loss_bbox: 0.7546, loss_iou: 1.1256, d0.loss_cls: 2.0350, d0.loss_bbox: 0.8053, d0.loss_iou: 1.1888, d1.loss_cls: 2.0022, d1.loss_bbox: 0.7876, d1.loss_iou: 1.1662, d2.loss_cls: 1.9734, d2.loss_bbox: 0.7714, d2.loss_iou: 1.1457, d3.loss_cls: 1.9537, d3.loss_bbox: 0.7623, d3.loss_iou: 1.1346, d4.loss_cls: 1.9396, d4.loss_bbox: 0.7563, d4.loss_iou: 1.1281, loss: 23.3625, grad_norm: 15.7768 +2022-10-26 21:36:00,529 - mmdet - INFO - Epoch [28][950/1849] lr: 2.000e-04, eta: 1:35:07, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9325, loss_bbox: 0.7535, loss_iou: 1.1308, d0.loss_cls: 2.0422, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1946, d1.loss_cls: 2.0039, d1.loss_bbox: 0.7857, d1.loss_iou: 1.1719, d2.loss_cls: 1.9758, d2.loss_bbox: 0.7704, d2.loss_iou: 1.1512, d3.loss_cls: 1.9535, d3.loss_bbox: 0.7614, d3.loss_iou: 1.1411, d4.loss_cls: 1.9417, d4.loss_bbox: 0.7555, d4.loss_iou: 1.1329, loss: 23.4026, grad_norm: 15.6095 +2022-10-26 21:36:07,586 - mmdet - INFO - Epoch [28][1000/1849] lr: 2.000e-04, eta: 1:35:01, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9406, loss_bbox: 0.7527, loss_iou: 1.1283, d0.loss_cls: 2.0453, d0.loss_bbox: 0.8065, d0.loss_iou: 1.1943, d1.loss_cls: 2.0136, d1.loss_bbox: 0.7866, d1.loss_iou: 1.1707, d2.loss_cls: 1.9813, d2.loss_bbox: 0.7710, d2.loss_iou: 1.1488, d3.loss_cls: 1.9627, d3.loss_bbox: 0.7609, d3.loss_iou: 1.1383, d4.loss_cls: 1.9473, d4.loss_bbox: 0.7548, d4.loss_iou: 1.1314, loss: 23.4352, grad_norm: 14.1440 +2022-10-26 21:36:14,545 - mmdet - INFO - Epoch [28][1050/1849] lr: 2.000e-04, eta: 1:34:54, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9441, loss_bbox: 0.7514, loss_iou: 1.1242, d0.loss_cls: 2.0522, d0.loss_bbox: 0.8049, d0.loss_iou: 1.1896, d1.loss_cls: 2.0178, d1.loss_bbox: 0.7848, d1.loss_iou: 1.1663, d2.loss_cls: 1.9865, d2.loss_bbox: 0.7689, d2.loss_iou: 1.1452, d3.loss_cls: 1.9647, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1336, d4.loss_cls: 1.9524, d4.loss_bbox: 0.7533, d4.loss_iou: 1.1269, loss: 23.4259, grad_norm: 14.4817 +2022-10-26 21:36:21,632 - mmdet - INFO - Epoch [28][1100/1849] lr: 2.000e-04, eta: 1:34:47, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9507, loss_bbox: 0.7571, loss_iou: 1.1273, d0.loss_cls: 2.0593, d0.loss_bbox: 0.8104, d0.loss_iou: 1.1921, d1.loss_cls: 2.0240, d1.loss_bbox: 0.7910, d1.loss_iou: 1.1684, d2.loss_cls: 1.9922, d2.loss_bbox: 0.7756, d2.loss_iou: 1.1472, d3.loss_cls: 1.9736, d3.loss_bbox: 0.7657, d3.loss_iou: 1.1365, d4.loss_cls: 1.9610, d4.loss_bbox: 0.7591, d4.loss_iou: 1.1303, loss: 23.5215, grad_norm: 14.0357 +2022-10-26 21:36:28,777 - mmdet - INFO - Epoch [28][1150/1849] lr: 2.000e-04, eta: 1:34:41, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9534, loss_bbox: 0.7578, loss_iou: 1.1277, d0.loss_cls: 2.0596, d0.loss_bbox: 0.8078, d0.loss_iou: 1.1922, d1.loss_cls: 2.0210, d1.loss_bbox: 0.7904, d1.loss_iou: 1.1696, d2.loss_cls: 1.9916, d2.loss_bbox: 0.7754, d2.loss_iou: 1.1477, d3.loss_cls: 1.9745, d3.loss_bbox: 0.7656, d3.loss_iou: 1.1363, d4.loss_cls: 1.9625, d4.loss_bbox: 0.7600, d4.loss_iou: 1.1306, loss: 23.5237, grad_norm: 16.1030 +2022-10-26 21:36:35,789 - mmdet - INFO - Epoch [28][1200/1849] lr: 2.000e-04, eta: 1:34:34, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9523, loss_bbox: 0.7591, loss_iou: 1.1325, d0.loss_cls: 2.0587, d0.loss_bbox: 0.8115, d0.loss_iou: 1.1960, d1.loss_cls: 2.0232, d1.loss_bbox: 0.7928, d1.loss_iou: 1.1720, d2.loss_cls: 1.9908, d2.loss_bbox: 0.7766, d2.loss_iou: 1.1511, d3.loss_cls: 1.9736, d3.loss_bbox: 0.7667, d3.loss_iou: 1.1416, d4.loss_cls: 1.9604, d4.loss_bbox: 0.7613, d4.loss_iou: 1.1348, loss: 23.5549, grad_norm: 14.7167 +2022-10-26 21:36:42,721 - mmdet - INFO - Epoch [28][1250/1849] lr: 2.000e-04, eta: 1:34:27, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9544, loss_bbox: 0.7567, loss_iou: 1.1312, d0.loss_cls: 2.0615, d0.loss_bbox: 0.8085, d0.loss_iou: 1.1925, d1.loss_cls: 2.0252, d1.loss_bbox: 0.7888, d1.loss_iou: 1.1703, d2.loss_cls: 1.9943, d2.loss_bbox: 0.7735, d2.loss_iou: 1.1504, d3.loss_cls: 1.9734, d3.loss_bbox: 0.7647, d3.loss_iou: 1.1400, d4.loss_cls: 1.9614, d4.loss_bbox: 0.7588, d4.loss_iou: 1.1336, loss: 23.5392, grad_norm: 15.1546 +2022-10-26 21:36:49,681 - mmdet - INFO - Epoch [28][1300/1849] lr: 2.000e-04, eta: 1:34:20, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9368, loss_bbox: 0.7529, loss_iou: 1.1262, d0.loss_cls: 2.0441, d0.loss_bbox: 0.8060, d0.loss_iou: 1.1899, d1.loss_cls: 2.0089, d1.loss_bbox: 0.7879, d1.loss_iou: 1.1662, d2.loss_cls: 1.9772, d2.loss_bbox: 0.7711, d2.loss_iou: 1.1454, d3.loss_cls: 1.9568, d3.loss_bbox: 0.7611, d3.loss_iou: 1.1340, d4.loss_cls: 1.9443, d4.loss_bbox: 0.7550, d4.loss_iou: 1.1279, loss: 23.3917, grad_norm: 15.6097 +2022-10-26 21:36:56,496 - mmdet - INFO - Epoch [28][1350/1849] lr: 2.000e-04, eta: 1:34:13, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9508, loss_bbox: 0.7539, loss_iou: 1.1275, d0.loss_cls: 2.0563, d0.loss_bbox: 0.8064, d0.loss_iou: 1.1918, d1.loss_cls: 2.0247, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1691, d2.loss_cls: 1.9889, d2.loss_bbox: 0.7727, d2.loss_iou: 1.1474, d3.loss_cls: 1.9728, d3.loss_bbox: 0.7629, d3.loss_iou: 1.1364, d4.loss_cls: 1.9589, d4.loss_bbox: 0.7558, d4.loss_iou: 1.1303, loss: 23.4939, grad_norm: 15.6159 +2022-10-26 21:37:03,495 - mmdet - INFO - Epoch [28][1400/1849] lr: 2.000e-04, eta: 1:34:07, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9517, loss_bbox: 0.7551, loss_iou: 1.1303, d0.loss_cls: 2.0619, d0.loss_bbox: 0.8083, d0.loss_iou: 1.1949, d1.loss_cls: 2.0245, d1.loss_bbox: 0.7899, d1.loss_iou: 1.1716, d2.loss_cls: 1.9927, d2.loss_bbox: 0.7738, d2.loss_iou: 1.1501, d3.loss_cls: 1.9739, d3.loss_bbox: 0.7636, d3.loss_iou: 1.1393, d4.loss_cls: 1.9604, d4.loss_bbox: 0.7570, d4.loss_iou: 1.1330, loss: 23.5320, grad_norm: 15.0824 +2022-10-26 21:37:10,525 - mmdet - INFO - Epoch [28][1450/1849] lr: 2.000e-04, eta: 1:34:00, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9440, loss_bbox: 0.7573, loss_iou: 1.1349, d0.loss_cls: 2.0472, d0.loss_bbox: 0.8077, d0.loss_iou: 1.1968, d1.loss_cls: 2.0126, d1.loss_bbox: 0.7902, d1.loss_iou: 1.1754, d2.loss_cls: 1.9833, d2.loss_bbox: 0.7744, d2.loss_iou: 1.1545, d3.loss_cls: 1.9632, d3.loss_bbox: 0.7648, d3.loss_iou: 1.1441, d4.loss_cls: 1.9501, d4.loss_bbox: 0.7591, d4.loss_iou: 1.1372, loss: 23.4969, grad_norm: 14.2325 +2022-10-26 21:37:17,464 - mmdet - INFO - Epoch [28][1500/1849] lr: 2.000e-04, eta: 1:33:53, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9253, loss_bbox: 0.7514, loss_iou: 1.1276, d0.loss_cls: 2.0301, d0.loss_bbox: 0.8036, d0.loss_iou: 1.1916, d1.loss_cls: 1.9979, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1681, d2.loss_cls: 1.9653, d2.loss_bbox: 0.7685, d2.loss_iou: 1.1471, d3.loss_cls: 1.9461, d3.loss_bbox: 0.7594, d3.loss_iou: 1.1365, d4.loss_cls: 1.9335, d4.loss_bbox: 0.7536, d4.loss_iou: 1.1298, loss: 23.3198, grad_norm: 15.3266 +2022-10-26 21:37:24,296 - mmdet - INFO - Epoch [28][1550/1849] lr: 2.000e-04, eta: 1:33:46, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9467, loss_bbox: 0.7550, loss_iou: 1.1311, d0.loss_cls: 2.0509, d0.loss_bbox: 0.8089, d0.loss_iou: 1.1975, d1.loss_cls: 2.0178, d1.loss_bbox: 0.7889, d1.loss_iou: 1.1731, d2.loss_cls: 1.9848, d2.loss_bbox: 0.7738, d2.loss_iou: 1.1509, d3.loss_cls: 1.9658, d3.loss_bbox: 0.7636, d3.loss_iou: 1.1403, d4.loss_cls: 1.9524, d4.loss_bbox: 0.7573, d4.loss_iou: 1.1337, loss: 23.4925, grad_norm: 14.6985 +2022-10-26 21:37:31,073 - mmdet - INFO - Epoch [28][1600/1849] lr: 2.000e-04, eta: 1:33:39, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9485, loss_bbox: 0.7534, loss_iou: 1.1236, d0.loss_cls: 2.0530, d0.loss_bbox: 0.8068, d0.loss_iou: 1.1881, d1.loss_cls: 2.0247, d1.loss_bbox: 0.7884, d1.loss_iou: 1.1645, d2.loss_cls: 1.9914, d2.loss_bbox: 0.7724, d2.loss_iou: 1.1430, d3.loss_cls: 1.9706, d3.loss_bbox: 0.7615, d3.loss_iou: 1.1329, d4.loss_cls: 1.9572, d4.loss_bbox: 0.7557, d4.loss_iou: 1.1261, loss: 23.4619, grad_norm: 14.3374 +2022-10-26 21:37:37,954 - mmdet - INFO - Epoch [28][1650/1849] lr: 2.000e-04, eta: 1:33:32, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9429, loss_bbox: 0.7507, loss_iou: 1.1223, d0.loss_cls: 2.0484, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1859, d1.loss_cls: 2.0161, d1.loss_bbox: 0.7840, d1.loss_iou: 1.1624, d2.loss_cls: 1.9851, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1411, d3.loss_cls: 1.9642, d3.loss_bbox: 0.7580, d3.loss_iou: 1.1312, d4.loss_cls: 1.9526, d4.loss_bbox: 0.7525, d4.loss_iou: 1.1248, loss: 23.3958, grad_norm: 15.7876 +2022-10-26 21:37:44,828 - mmdet - INFO - Epoch [28][1700/1849] lr: 2.000e-04, eta: 1:33:25, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9582, loss_bbox: 0.7564, loss_iou: 1.1309, d0.loss_cls: 2.0614, d0.loss_bbox: 0.8093, d0.loss_iou: 1.1941, d1.loss_cls: 2.0284, d1.loss_bbox: 0.7895, d1.loss_iou: 1.1709, d2.loss_cls: 1.9993, d2.loss_bbox: 0.7733, d2.loss_iou: 1.1505, d3.loss_cls: 1.9795, d3.loss_bbox: 0.7642, d3.loss_iou: 1.1398, d4.loss_cls: 1.9676, d4.loss_bbox: 0.7584, d4.loss_iou: 1.1329, loss: 23.5646, grad_norm: 15.4079 +2022-10-26 21:37:51,612 - mmdet - INFO - Epoch [28][1750/1849] lr: 2.000e-04, eta: 1:33:19, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9543, loss_bbox: 0.7596, loss_iou: 1.1288, d0.loss_cls: 2.0586, d0.loss_bbox: 0.8131, d0.loss_iou: 1.1913, d1.loss_cls: 2.0226, d1.loss_bbox: 0.7940, d1.loss_iou: 1.1687, d2.loss_cls: 1.9939, d2.loss_bbox: 0.7782, d2.loss_iou: 1.1480, d3.loss_cls: 1.9750, d3.loss_bbox: 0.7679, d3.loss_iou: 1.1375, d4.loss_cls: 1.9627, d4.loss_bbox: 0.7619, d4.loss_iou: 1.1312, loss: 23.5474, grad_norm: 17.1987 +2022-10-26 21:37:58,658 - mmdet - INFO - Epoch [28][1800/1849] lr: 2.000e-04, eta: 1:33:12, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9328, loss_bbox: 0.7579, loss_iou: 1.1257, d0.loss_cls: 2.0342, d0.loss_bbox: 0.8106, d0.loss_iou: 1.1896, d1.loss_cls: 2.0031, d1.loss_bbox: 0.7914, d1.loss_iou: 1.1666, d2.loss_cls: 1.9730, d2.loss_bbox: 0.7760, d2.loss_iou: 1.1456, d3.loss_cls: 1.9552, d3.loss_bbox: 0.7662, d3.loss_iou: 1.1350, d4.loss_cls: 1.9403, d4.loss_bbox: 0.7603, d4.loss_iou: 1.1283, loss: 23.3915, grad_norm: 15.0596 +2022-10-26 21:38:05,609 - mmdet - INFO - Saving checkpoint at 28 epochs +2022-10-26 21:38:16,614 - mmdet - INFO - Epoch [29][50/1849] lr: 2.000e-04, eta: 1:32:56, time: 0.208, data_time: 0.063, memory: 4401, loss_cls: 1.9228, loss_bbox: 0.7524, loss_iou: 1.1273, d0.loss_cls: 2.0322, d0.loss_bbox: 0.8046, d0.loss_iou: 1.1894, d1.loss_cls: 1.9928, d1.loss_bbox: 0.7872, d1.loss_iou: 1.1674, d2.loss_cls: 1.9617, d2.loss_bbox: 0.7704, d2.loss_iou: 1.1460, d3.loss_cls: 1.9418, d3.loss_bbox: 0.7598, d3.loss_iou: 1.1364, d4.loss_cls: 1.9289, d4.loss_bbox: 0.7542, d4.loss_iou: 1.1304, loss: 23.3057, grad_norm: 13.7863 +2022-10-26 21:38:24,047 - mmdet - INFO - Epoch [29][100/1849] lr: 2.000e-04, eta: 1:32:49, time: 0.149, data_time: 0.005, memory: 4401, loss_cls: 1.9363, loss_bbox: 0.7555, loss_iou: 1.1258, d0.loss_cls: 2.0410, d0.loss_bbox: 0.8082, d0.loss_iou: 1.1895, d1.loss_cls: 2.0072, d1.loss_bbox: 0.7890, d1.loss_iou: 1.1666, d2.loss_cls: 1.9749, d2.loss_bbox: 0.7725, d2.loss_iou: 1.1449, d3.loss_cls: 1.9576, d3.loss_bbox: 0.7631, d3.loss_iou: 1.1348, d4.loss_cls: 1.9427, d4.loss_bbox: 0.7575, d4.loss_iou: 1.1287, loss: 23.3956, grad_norm: 17.2269 +2022-10-26 21:38:31,288 - mmdet - INFO - Epoch [29][150/1849] lr: 2.000e-04, eta: 1:32:43, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9408, loss_bbox: 0.7525, loss_iou: 1.1230, d0.loss_cls: 2.0489, d0.loss_bbox: 0.8074, d0.loss_iou: 1.1883, d1.loss_cls: 2.0132, d1.loss_bbox: 0.7867, d1.loss_iou: 1.1628, d2.loss_cls: 1.9790, d2.loss_bbox: 0.7701, d2.loss_iou: 1.1416, d3.loss_cls: 1.9586, d3.loss_bbox: 0.7602, d3.loss_iou: 1.1317, d4.loss_cls: 1.9473, d4.loss_bbox: 0.7546, d4.loss_iou: 1.1256, loss: 23.3922, grad_norm: 15.6744 +2022-10-26 21:38:38,386 - mmdet - INFO - Epoch [29][200/1849] lr: 2.000e-04, eta: 1:32:36, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9231, loss_bbox: 0.7530, loss_iou: 1.1207, d0.loss_cls: 2.0352, d0.loss_bbox: 0.8067, d0.loss_iou: 1.1865, d1.loss_cls: 1.9976, d1.loss_bbox: 0.7867, d1.loss_iou: 1.1622, d2.loss_cls: 1.9648, d2.loss_bbox: 0.7701, d2.loss_iou: 1.1404, d3.loss_cls: 1.9455, d3.loss_bbox: 0.7611, d3.loss_iou: 1.1293, d4.loss_cls: 1.9311, d4.loss_bbox: 0.7555, d4.loss_iou: 1.1232, loss: 23.2926, grad_norm: 14.3061 +2022-10-26 21:38:45,583 - mmdet - INFO - Epoch [29][250/1849] lr: 2.000e-04, eta: 1:32:29, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9322, loss_bbox: 0.7524, loss_iou: 1.1278, d0.loss_cls: 2.0394, d0.loss_bbox: 0.8052, d0.loss_iou: 1.1913, d1.loss_cls: 2.0016, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1693, d2.loss_cls: 1.9704, d2.loss_bbox: 0.7702, d2.loss_iou: 1.1475, d3.loss_cls: 1.9505, d3.loss_bbox: 0.7597, d3.loss_iou: 1.1366, d4.loss_cls: 1.9384, d4.loss_bbox: 0.7546, d4.loss_iou: 1.1300, loss: 23.3629, grad_norm: 15.2053 +2022-10-26 21:38:52,778 - mmdet - INFO - Epoch [29][300/1849] lr: 2.000e-04, eta: 1:32:23, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9357, loss_bbox: 0.7494, loss_iou: 1.1252, d0.loss_cls: 2.0440, d0.loss_bbox: 0.8015, d0.loss_iou: 1.1897, d1.loss_cls: 2.0062, d1.loss_bbox: 0.7814, d1.loss_iou: 1.1664, d2.loss_cls: 1.9747, d2.loss_bbox: 0.7668, d2.loss_iou: 1.1445, d3.loss_cls: 1.9551, d3.loss_bbox: 0.7566, d3.loss_iou: 1.1342, d4.loss_cls: 1.9418, d4.loss_bbox: 0.7512, d4.loss_iou: 1.1280, loss: 23.3523, grad_norm: 14.6509 +2022-10-26 21:38:59,842 - mmdet - INFO - Epoch [29][350/1849] lr: 2.000e-04, eta: 1:32:16, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9170, loss_bbox: 0.7568, loss_iou: 1.1258, d0.loss_cls: 2.0224, d0.loss_bbox: 0.8080, d0.loss_iou: 1.1892, d1.loss_cls: 1.9927, d1.loss_bbox: 0.7897, d1.loss_iou: 1.1668, d2.loss_cls: 1.9579, d2.loss_bbox: 0.7754, d2.loss_iou: 1.1463, d3.loss_cls: 1.9382, d3.loss_bbox: 0.7654, d3.loss_iou: 1.1355, d4.loss_cls: 1.9249, d4.loss_bbox: 0.7590, d4.loss_iou: 1.1283, loss: 23.2992, grad_norm: 16.8953 +2022-10-26 21:39:06,994 - mmdet - INFO - Epoch [29][400/1849] lr: 2.000e-04, eta: 1:32:09, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9376, loss_bbox: 0.7534, loss_iou: 1.1291, d0.loss_cls: 2.0436, d0.loss_bbox: 0.8069, d0.loss_iou: 1.1931, d1.loss_cls: 2.0124, d1.loss_bbox: 0.7868, d1.loss_iou: 1.1700, d2.loss_cls: 1.9802, d2.loss_bbox: 0.7707, d2.loss_iou: 1.1487, d3.loss_cls: 1.9579, d3.loss_bbox: 0.7611, d3.loss_iou: 1.1374, d4.loss_cls: 1.9458, d4.loss_bbox: 0.7557, d4.loss_iou: 1.1314, loss: 23.4219, grad_norm: 16.4052 +2022-10-26 21:39:14,052 - mmdet - INFO - Epoch [29][450/1849] lr: 2.000e-04, eta: 1:32:03, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9370, loss_bbox: 0.7519, loss_iou: 1.1191, d0.loss_cls: 2.0464, d0.loss_bbox: 0.8069, d0.loss_iou: 1.1844, d1.loss_cls: 2.0102, d1.loss_bbox: 0.7862, d1.loss_iou: 1.1605, d2.loss_cls: 1.9785, d2.loss_bbox: 0.7703, d2.loss_iou: 1.1385, d3.loss_cls: 1.9586, d3.loss_bbox: 0.7606, d3.loss_iou: 1.1280, d4.loss_cls: 1.9459, d4.loss_bbox: 0.7543, d4.loss_iou: 1.1216, loss: 23.3590, grad_norm: 16.8211 +2022-10-26 21:39:21,049 - mmdet - INFO - Epoch [29][500/1849] lr: 2.000e-04, eta: 1:31:56, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9341, loss_bbox: 0.7522, loss_iou: 1.1217, d0.loss_cls: 2.0422, d0.loss_bbox: 0.8058, d0.loss_iou: 1.1859, d1.loss_cls: 2.0085, d1.loss_bbox: 0.7871, d1.loss_iou: 1.1635, d2.loss_cls: 1.9751, d2.loss_bbox: 0.7706, d2.loss_iou: 1.1417, d3.loss_cls: 1.9565, d3.loss_bbox: 0.7603, d3.loss_iou: 1.1311, d4.loss_cls: 1.9427, d4.loss_bbox: 0.7543, d4.loss_iou: 1.1243, loss: 23.3577, grad_norm: 14.7664 +2022-10-26 21:39:28,073 - mmdet - INFO - Epoch [29][550/1849] lr: 2.000e-04, eta: 1:31:49, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9286, loss_bbox: 0.7516, loss_iou: 1.1231, d0.loss_cls: 2.0340, d0.loss_bbox: 0.8049, d0.loss_iou: 1.1888, d1.loss_cls: 1.9992, d1.loss_bbox: 0.7859, d1.loss_iou: 1.1649, d2.loss_cls: 1.9699, d2.loss_bbox: 0.7690, d2.loss_iou: 1.1434, d3.loss_cls: 1.9500, d3.loss_bbox: 0.7598, d3.loss_iou: 1.1324, d4.loss_cls: 1.9358, d4.loss_bbox: 0.7536, d4.loss_iou: 1.1256, loss: 23.3206, grad_norm: 14.4206 +2022-10-26 21:39:35,188 - mmdet - INFO - Epoch [29][600/1849] lr: 2.000e-04, eta: 1:31:43, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9389, loss_bbox: 0.7525, loss_iou: 1.1267, d0.loss_cls: 2.0427, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1912, d1.loss_cls: 2.0101, d1.loss_bbox: 0.7858, d1.loss_iou: 1.1686, d2.loss_cls: 1.9790, d2.loss_bbox: 0.7706, d2.loss_iou: 1.1467, d3.loss_cls: 1.9586, d3.loss_bbox: 0.7604, d3.loss_iou: 1.1364, d4.loss_cls: 1.9464, d4.loss_bbox: 0.7544, d4.loss_iou: 1.1298, loss: 23.4026, grad_norm: 15.4166 +2022-10-26 21:39:42,180 - mmdet - INFO - Epoch [29][650/1849] lr: 2.000e-04, eta: 1:31:36, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9382, loss_bbox: 0.7536, loss_iou: 1.1222, d0.loss_cls: 2.0481, d0.loss_bbox: 0.8073, d0.loss_iou: 1.1862, d1.loss_cls: 2.0123, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1634, d2.loss_cls: 1.9780, d2.loss_bbox: 0.7713, d2.loss_iou: 1.1419, d3.loss_cls: 1.9600, d3.loss_bbox: 0.7614, d3.loss_iou: 1.1316, d4.loss_cls: 1.9460, d4.loss_bbox: 0.7559, d4.loss_iou: 1.1251, loss: 23.3905, grad_norm: 15.3277 +2022-10-26 21:39:49,080 - mmdet - INFO - Epoch [29][700/1849] lr: 2.000e-04, eta: 1:31:29, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9325, loss_bbox: 0.7499, loss_iou: 1.1213, d0.loss_cls: 2.0360, d0.loss_bbox: 0.8019, d0.loss_iou: 1.1848, d1.loss_cls: 2.0013, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1616, d2.loss_cls: 1.9703, d2.loss_bbox: 0.7685, d2.loss_iou: 1.1413, d3.loss_cls: 1.9529, d3.loss_bbox: 0.7581, d3.loss_iou: 1.1300, d4.loss_cls: 1.9375, d4.loss_bbox: 0.7523, d4.loss_iou: 1.1237, loss: 23.3082, grad_norm: 15.6233 +2022-10-26 21:39:56,169 - mmdet - INFO - Epoch [29][750/1849] lr: 2.000e-04, eta: 1:31:22, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9415, loss_bbox: 0.7540, loss_iou: 1.1248, d0.loss_cls: 2.0465, d0.loss_bbox: 0.8060, d0.loss_iou: 1.1891, d1.loss_cls: 2.0132, d1.loss_bbox: 0.7879, d1.loss_iou: 1.1645, d2.loss_cls: 1.9808, d2.loss_bbox: 0.7722, d2.loss_iou: 1.1436, d3.loss_cls: 1.9618, d3.loss_bbox: 0.7621, d3.loss_iou: 1.1342, d4.loss_cls: 1.9481, d4.loss_bbox: 0.7557, d4.loss_iou: 1.1282, loss: 23.4143, grad_norm: 16.3947 +2022-10-26 21:40:03,051 - mmdet - INFO - Epoch [29][800/1849] lr: 2.000e-04, eta: 1:31:15, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9344, loss_bbox: 0.7475, loss_iou: 1.1264, d0.loss_cls: 2.0407, d0.loss_bbox: 0.8010, d0.loss_iou: 1.1899, d1.loss_cls: 2.0100, d1.loss_bbox: 0.7827, d1.loss_iou: 1.1681, d2.loss_cls: 1.9765, d2.loss_bbox: 0.7663, d2.loss_iou: 1.1469, d3.loss_cls: 1.9568, d3.loss_bbox: 0.7556, d3.loss_iou: 1.1358, d4.loss_cls: 1.9420, d4.loss_bbox: 0.7493, d4.loss_iou: 1.1292, loss: 23.3592, grad_norm: 15.7189 +2022-10-26 21:40:10,031 - mmdet - INFO - Epoch [29][850/1849] lr: 2.000e-04, eta: 1:31:09, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9390, loss_bbox: 0.7514, loss_iou: 1.1189, d0.loss_cls: 2.0473, d0.loss_bbox: 0.8035, d0.loss_iou: 1.1814, d1.loss_cls: 2.0109, d1.loss_bbox: 0.7838, d1.loss_iou: 1.1586, d2.loss_cls: 1.9798, d2.loss_bbox: 0.7681, d2.loss_iou: 1.1368, d3.loss_cls: 1.9596, d3.loss_bbox: 0.7582, d3.loss_iou: 1.1269, d4.loss_cls: 1.9470, d4.loss_bbox: 0.7534, d4.loss_iou: 1.1204, loss: 23.3448, grad_norm: 14.9535 +2022-10-26 21:40:16,857 - mmdet - INFO - Epoch [29][900/1849] lr: 2.000e-04, eta: 1:31:02, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9435, loss_bbox: 0.7509, loss_iou: 1.1246, d0.loss_cls: 2.0485, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1889, d1.loss_cls: 2.0158, d1.loss_bbox: 0.7841, d1.loss_iou: 1.1651, d2.loss_cls: 1.9846, d2.loss_bbox: 0.7685, d2.loss_iou: 1.1431, d3.loss_cls: 1.9641, d3.loss_bbox: 0.7589, d3.loss_iou: 1.1335, d4.loss_cls: 1.9511, d4.loss_bbox: 0.7531, d4.loss_iou: 1.1273, loss: 23.4098, grad_norm: 15.3835 +2022-10-26 21:40:23,786 - mmdet - INFO - Epoch [29][950/1849] lr: 2.000e-04, eta: 1:30:55, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9362, loss_bbox: 0.7522, loss_iou: 1.1267, d0.loss_cls: 2.0433, d0.loss_bbox: 0.8048, d0.loss_iou: 1.1899, d1.loss_cls: 2.0115, d1.loss_bbox: 0.7858, d1.loss_iou: 1.1677, d2.loss_cls: 1.9775, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1461, d3.loss_cls: 1.9571, d3.loss_bbox: 0.7607, d3.loss_iou: 1.1357, d4.loss_cls: 1.9442, d4.loss_bbox: 0.7547, d4.loss_iou: 1.1298, loss: 23.3948, grad_norm: 14.1413 +2022-10-26 21:40:30,865 - mmdet - INFO - Epoch [29][1000/1849] lr: 2.000e-04, eta: 1:30:48, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9297, loss_bbox: 0.7549, loss_iou: 1.1273, d0.loss_cls: 2.0333, d0.loss_bbox: 0.8074, d0.loss_iou: 1.1916, d1.loss_cls: 1.9978, d1.loss_bbox: 0.7882, d1.loss_iou: 1.1671, d2.loss_cls: 1.9697, d2.loss_bbox: 0.7728, d2.loss_iou: 1.1457, d3.loss_cls: 1.9490, d3.loss_bbox: 0.7626, d3.loss_iou: 1.1353, d4.loss_cls: 1.9383, d4.loss_bbox: 0.7570, d4.loss_iou: 1.1294, loss: 23.3572, grad_norm: 15.8077 +2022-10-26 21:40:38,035 - mmdet - INFO - Epoch [29][1050/1849] lr: 2.000e-04, eta: 1:30:42, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9362, loss_bbox: 0.7507, loss_iou: 1.1266, d0.loss_cls: 2.0389, d0.loss_bbox: 0.8036, d0.loss_iou: 1.1911, d1.loss_cls: 2.0092, d1.loss_bbox: 0.7843, d1.loss_iou: 1.1682, d2.loss_cls: 1.9760, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1467, d3.loss_cls: 1.9566, d3.loss_bbox: 0.7586, d3.loss_iou: 1.1360, d4.loss_cls: 1.9437, d4.loss_bbox: 0.7531, d4.loss_iou: 1.1292, loss: 23.3772, grad_norm: 13.5228 +2022-10-26 21:40:45,200 - mmdet - INFO - Epoch [29][1100/1849] lr: 2.000e-04, eta: 1:30:35, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9420, loss_bbox: 0.7529, loss_iou: 1.1324, d0.loss_cls: 2.0487, d0.loss_bbox: 0.8057, d0.loss_iou: 1.1951, d1.loss_cls: 2.0144, d1.loss_bbox: 0.7854, d1.loss_iou: 1.1732, d2.loss_cls: 1.9821, d2.loss_bbox: 0.7708, d2.loss_iou: 1.1522, d3.loss_cls: 1.9647, d3.loss_bbox: 0.7611, d3.loss_iou: 1.1411, d4.loss_cls: 1.9504, d4.loss_bbox: 0.7550, d4.loss_iou: 1.1345, loss: 23.4617, grad_norm: 14.9731 +2022-10-26 21:40:52,091 - mmdet - INFO - Epoch [29][1150/1849] lr: 2.000e-04, eta: 1:30:28, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9432, loss_bbox: 0.7514, loss_iou: 1.1202, d0.loss_cls: 2.0431, d0.loss_bbox: 0.8064, d0.loss_iou: 1.1880, d1.loss_cls: 2.0153, d1.loss_bbox: 0.7863, d1.loss_iou: 1.1617, d2.loss_cls: 1.9840, d2.loss_bbox: 0.7696, d2.loss_iou: 1.1411, d3.loss_cls: 1.9639, d3.loss_bbox: 0.7594, d3.loss_iou: 1.1299, d4.loss_cls: 1.9501, d4.loss_bbox: 0.7531, d4.loss_iou: 1.1229, loss: 23.3896, grad_norm: 13.7577 +2022-10-26 21:40:59,122 - mmdet - INFO - Epoch [29][1200/1849] lr: 2.000e-04, eta: 1:30:21, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9461, loss_bbox: 0.7538, loss_iou: 1.1251, d0.loss_cls: 2.0510, d0.loss_bbox: 0.8076, d0.loss_iou: 1.1905, d1.loss_cls: 2.0172, d1.loss_bbox: 0.7881, d1.loss_iou: 1.1666, d2.loss_cls: 1.9871, d2.loss_bbox: 0.7716, d2.loss_iou: 1.1438, d3.loss_cls: 1.9691, d3.loss_bbox: 0.7616, d3.loss_iou: 1.1343, d4.loss_cls: 1.9542, d4.loss_bbox: 0.7560, d4.loss_iou: 1.1277, loss: 23.4512, grad_norm: 16.2532 +2022-10-26 21:41:06,093 - mmdet - INFO - Epoch [29][1250/1849] lr: 2.000e-04, eta: 1:30:15, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9435, loss_bbox: 0.7537, loss_iou: 1.1267, d0.loss_cls: 2.0504, d0.loss_bbox: 0.8056, d0.loss_iou: 1.1919, d1.loss_cls: 2.0155, d1.loss_bbox: 0.7876, d1.loss_iou: 1.1668, d2.loss_cls: 1.9849, d2.loss_bbox: 0.7706, d2.loss_iou: 1.1451, d3.loss_cls: 1.9652, d3.loss_bbox: 0.7613, d3.loss_iou: 1.1355, d4.loss_cls: 1.9523, d4.loss_bbox: 0.7559, d4.loss_iou: 1.1285, loss: 23.4409, grad_norm: 15.5597 +2022-10-26 21:41:12,965 - mmdet - INFO - Epoch [29][1300/1849] lr: 2.000e-04, eta: 1:30:08, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9442, loss_bbox: 0.7576, loss_iou: 1.1290, d0.loss_cls: 2.0505, d0.loss_bbox: 0.8103, d0.loss_iou: 1.1930, d1.loss_cls: 2.0154, d1.loss_bbox: 0.7903, d1.loss_iou: 1.1703, d2.loss_cls: 1.9847, d2.loss_bbox: 0.7752, d2.loss_iou: 1.1478, d3.loss_cls: 1.9669, d3.loss_bbox: 0.7652, d3.loss_iou: 1.1379, d4.loss_cls: 1.9509, d4.loss_bbox: 0.7591, d4.loss_iou: 1.1319, loss: 23.4801, grad_norm: 15.9691 +2022-10-26 21:41:20,044 - mmdet - INFO - Epoch [29][1350/1849] lr: 2.000e-04, eta: 1:30:01, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9363, loss_bbox: 0.7536, loss_iou: 1.1259, d0.loss_cls: 2.0405, d0.loss_bbox: 0.8058, d0.loss_iou: 1.1895, d1.loss_cls: 2.0076, d1.loss_bbox: 0.7866, d1.loss_iou: 1.1658, d2.loss_cls: 1.9767, d2.loss_bbox: 0.7713, d2.loss_iou: 1.1454, d3.loss_cls: 1.9597, d3.loss_bbox: 0.7618, d3.loss_iou: 1.1350, d4.loss_cls: 1.9444, d4.loss_bbox: 0.7560, d4.loss_iou: 1.1284, loss: 23.3906, grad_norm: 16.4524 +2022-10-26 21:41:26,941 - mmdet - INFO - Epoch [29][1400/1849] lr: 2.000e-04, eta: 1:29:54, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9391, loss_bbox: 0.7533, loss_iou: 1.1257, d0.loss_cls: 2.0422, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1893, d1.loss_cls: 2.0122, d1.loss_bbox: 0.7860, d1.loss_iou: 1.1673, d2.loss_cls: 1.9818, d2.loss_bbox: 0.7716, d2.loss_iou: 1.1456, d3.loss_cls: 1.9593, d3.loss_bbox: 0.7614, d3.loss_iou: 1.1356, d4.loss_cls: 1.9465, d4.loss_bbox: 0.7552, d4.loss_iou: 1.1286, loss: 23.4053, grad_norm: 15.5013 +2022-10-26 21:41:33,787 - mmdet - INFO - Epoch [29][1450/1849] lr: 2.000e-04, eta: 1:29:47, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9437, loss_bbox: 0.7542, loss_iou: 1.1266, d0.loss_cls: 2.0467, d0.loss_bbox: 0.8073, d0.loss_iou: 1.1916, d1.loss_cls: 2.0166, d1.loss_bbox: 0.7870, d1.loss_iou: 1.1676, d2.loss_cls: 1.9845, d2.loss_bbox: 0.7725, d2.loss_iou: 1.1454, d3.loss_cls: 1.9644, d3.loss_bbox: 0.7620, d3.loss_iou: 1.1355, d4.loss_cls: 1.9514, d4.loss_bbox: 0.7561, d4.loss_iou: 1.1294, loss: 23.4428, grad_norm: 16.9813 +2022-10-26 21:41:40,707 - mmdet - INFO - Epoch [29][1500/1849] lr: 2.000e-04, eta: 1:29:40, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9314, loss_bbox: 0.7486, loss_iou: 1.1179, d0.loss_cls: 2.0404, d0.loss_bbox: 0.8010, d0.loss_iou: 1.1826, d1.loss_cls: 2.0065, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1579, d2.loss_cls: 1.9725, d2.loss_bbox: 0.7660, d2.loss_iou: 1.1369, d3.loss_cls: 1.9532, d3.loss_bbox: 0.7563, d3.loss_iou: 1.1257, d4.loss_cls: 1.9398, d4.loss_bbox: 0.7506, d4.loss_iou: 1.1200, loss: 23.2899, grad_norm: 16.4267 +2022-10-26 21:41:47,649 - mmdet - INFO - Epoch [29][1550/1849] lr: 2.000e-04, eta: 1:29:34, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9486, loss_bbox: 0.7520, loss_iou: 1.1242, d0.loss_cls: 2.0580, d0.loss_bbox: 0.8046, d0.loss_iou: 1.1899, d1.loss_cls: 2.0240, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1661, d2.loss_cls: 1.9924, d2.loss_bbox: 0.7692, d2.loss_iou: 1.1432, d3.loss_cls: 1.9723, d3.loss_bbox: 0.7595, d3.loss_iou: 1.1336, d4.loss_cls: 1.9557, d4.loss_bbox: 0.7543, d4.loss_iou: 1.1271, loss: 23.4594, grad_norm: 14.2864 +2022-10-26 21:41:54,558 - mmdet - INFO - Epoch [29][1600/1849] lr: 2.000e-04, eta: 1:29:27, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9348, loss_bbox: 0.7538, loss_iou: 1.1284, d0.loss_cls: 2.0379, d0.loss_bbox: 0.8067, d0.loss_iou: 1.1927, d1.loss_cls: 2.0044, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1684, d2.loss_cls: 1.9745, d2.loss_bbox: 0.7714, d2.loss_iou: 1.1476, d3.loss_cls: 1.9558, d3.loss_bbox: 0.7613, d3.loss_iou: 1.1370, d4.loss_cls: 1.9441, d4.loss_bbox: 0.7559, d4.loss_iou: 1.1308, loss: 23.3928, grad_norm: 15.8136 +2022-10-26 21:42:01,489 - mmdet - INFO - Epoch [29][1650/1849] lr: 2.000e-04, eta: 1:29:20, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9366, loss_bbox: 0.7526, loss_iou: 1.1207, d0.loss_cls: 2.0416, d0.loss_bbox: 0.8062, d0.loss_iou: 1.1862, d1.loss_cls: 2.0113, d1.loss_bbox: 0.7878, d1.loss_iou: 1.1627, d2.loss_cls: 1.9792, d2.loss_bbox: 0.7706, d2.loss_iou: 1.1400, d3.loss_cls: 1.9591, d3.loss_bbox: 0.7609, d3.loss_iou: 1.1295, d4.loss_cls: 1.9437, d4.loss_bbox: 0.7550, d4.loss_iou: 1.1228, loss: 23.3665, grad_norm: 15.2056 +2022-10-26 21:42:08,337 - mmdet - INFO - Epoch [29][1700/1849] lr: 2.000e-04, eta: 1:29:13, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9323, loss_bbox: 0.7529, loss_iou: 1.1270, d0.loss_cls: 2.0367, d0.loss_bbox: 0.8069, d0.loss_iou: 1.1922, d1.loss_cls: 2.0049, d1.loss_bbox: 0.7878, d1.loss_iou: 1.1687, d2.loss_cls: 1.9736, d2.loss_bbox: 0.7711, d2.loss_iou: 1.1467, d3.loss_cls: 1.9539, d3.loss_bbox: 0.7614, d3.loss_iou: 1.1365, d4.loss_cls: 1.9395, d4.loss_bbox: 0.7550, d4.loss_iou: 1.1297, loss: 23.3767, grad_norm: 14.3866 +2022-10-26 21:42:15,364 - mmdet - INFO - Epoch [29][1750/1849] lr: 2.000e-04, eta: 1:29:06, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9506, loss_bbox: 0.7548, loss_iou: 1.1278, d0.loss_cls: 2.0591, d0.loss_bbox: 0.8068, d0.loss_iou: 1.1917, d1.loss_cls: 2.0237, d1.loss_bbox: 0.7886, d1.loss_iou: 1.1700, d2.loss_cls: 1.9934, d2.loss_bbox: 0.7721, d2.loss_iou: 1.1472, d3.loss_cls: 1.9731, d3.loss_bbox: 0.7622, d3.loss_iou: 1.1371, d4.loss_cls: 1.9589, d4.loss_bbox: 0.7562, d4.loss_iou: 1.1302, loss: 23.5034, grad_norm: 13.9807 +2022-10-26 21:42:22,465 - mmdet - INFO - Epoch [29][1800/1849] lr: 2.000e-04, eta: 1:29:00, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9457, loss_bbox: 0.7524, loss_iou: 1.1270, d0.loss_cls: 2.0515, d0.loss_bbox: 0.8045, d0.loss_iou: 1.1892, d1.loss_cls: 2.0180, d1.loss_bbox: 0.7866, d1.loss_iou: 1.1677, d2.loss_cls: 1.9865, d2.loss_bbox: 0.7715, d2.loss_iou: 1.1466, d3.loss_cls: 1.9656, d3.loss_bbox: 0.7605, d3.loss_iou: 1.1360, d4.loss_cls: 1.9546, d4.loss_bbox: 0.7552, d4.loss_iou: 1.1286, loss: 23.4477, grad_norm: 14.5739 +2022-10-26 21:42:29,592 - mmdet - INFO - Saving checkpoint at 29 epochs +2022-10-26 21:42:40,282 - mmdet - INFO - Epoch [30][50/1849] lr: 2.000e-04, eta: 1:28:43, time: 0.202, data_time: 0.064, memory: 4401, loss_cls: 1.9344, loss_bbox: 0.7527, loss_iou: 1.1257, d0.loss_cls: 2.0436, d0.loss_bbox: 0.8062, d0.loss_iou: 1.1893, d1.loss_cls: 2.0068, d1.loss_bbox: 0.7877, d1.loss_iou: 1.1666, d2.loss_cls: 1.9744, d2.loss_bbox: 0.7714, d2.loss_iou: 1.1459, d3.loss_cls: 1.9562, d3.loss_bbox: 0.7613, d3.loss_iou: 1.1357, d4.loss_cls: 1.9416, d4.loss_bbox: 0.7550, d4.loss_iou: 1.1286, loss: 23.3829, grad_norm: 14.9835 +2022-10-26 21:42:47,487 - mmdet - INFO - Epoch [30][100/1849] lr: 2.000e-04, eta: 1:28:37, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9251, loss_bbox: 0.7536, loss_iou: 1.1264, d0.loss_cls: 2.0326, d0.loss_bbox: 0.8066, d0.loss_iou: 1.1900, d1.loss_cls: 2.0019, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1663, d2.loss_cls: 1.9694, d2.loss_bbox: 0.7713, d2.loss_iou: 1.1463, d3.loss_cls: 1.9486, d3.loss_bbox: 0.7613, d3.loss_iou: 1.1348, d4.loss_cls: 1.9328, d4.loss_bbox: 0.7559, d4.loss_iou: 1.1280, loss: 23.3382, grad_norm: 15.0223 +2022-10-26 21:42:54,662 - mmdet - INFO - Epoch [30][150/1849] lr: 2.000e-04, eta: 1:28:30, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9334, loss_bbox: 0.7509, loss_iou: 1.1277, d0.loss_cls: 2.0372, d0.loss_bbox: 0.8043, d0.loss_iou: 1.1930, d1.loss_cls: 2.0053, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1692, d2.loss_cls: 1.9739, d2.loss_bbox: 0.7686, d2.loss_iou: 1.1480, d3.loss_cls: 1.9552, d3.loss_bbox: 0.7590, d3.loss_iou: 1.1380, d4.loss_cls: 1.9415, d4.loss_bbox: 0.7527, d4.loss_iou: 1.1310, loss: 23.3734, grad_norm: 16.1739 +2022-10-26 21:43:01,779 - mmdet - INFO - Epoch [30][200/1849] lr: 2.000e-04, eta: 1:28:24, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9384, loss_bbox: 0.7563, loss_iou: 1.1281, d0.loss_cls: 2.0477, d0.loss_bbox: 0.8092, d0.loss_iou: 1.1909, d1.loss_cls: 2.0150, d1.loss_bbox: 0.7892, d1.loss_iou: 1.1673, d2.loss_cls: 1.9804, d2.loss_bbox: 0.7739, d2.loss_iou: 1.1467, d3.loss_cls: 1.9617, d3.loss_bbox: 0.7638, d3.loss_iou: 1.1363, d4.loss_cls: 1.9452, d4.loss_bbox: 0.7580, d4.loss_iou: 1.1303, loss: 23.4384, grad_norm: 15.2771 +2022-10-26 21:43:09,009 - mmdet - INFO - Epoch [30][250/1849] lr: 2.000e-04, eta: 1:28:17, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9302, loss_bbox: 0.7492, loss_iou: 1.1247, d0.loss_cls: 2.0407, d0.loss_bbox: 0.8034, d0.loss_iou: 1.1907, d1.loss_cls: 2.0052, d1.loss_bbox: 0.7835, d1.loss_iou: 1.1662, d2.loss_cls: 1.9707, d2.loss_bbox: 0.7677, d2.loss_iou: 1.1445, d3.loss_cls: 1.9531, d3.loss_bbox: 0.7579, d3.loss_iou: 1.1339, d4.loss_cls: 1.9387, d4.loss_bbox: 0.7515, d4.loss_iou: 1.1275, loss: 23.3393, grad_norm: 14.9235 +2022-10-26 21:43:16,119 - mmdet - INFO - Epoch [30][300/1849] lr: 2.000e-04, eta: 1:28:10, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9220, loss_bbox: 0.7513, loss_iou: 1.1314, d0.loss_cls: 2.0299, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1961, d1.loss_cls: 1.9946, d1.loss_bbox: 0.7857, d1.loss_iou: 1.1738, d2.loss_cls: 1.9635, d2.loss_bbox: 0.7690, d2.loss_iou: 1.1510, d3.loss_cls: 1.9446, d3.loss_bbox: 0.7597, d3.loss_iou: 1.1405, d4.loss_cls: 1.9304, d4.loss_bbox: 0.7539, d4.loss_iou: 1.1339, loss: 23.3361, grad_norm: 17.0149 +2022-10-26 21:43:23,310 - mmdet - INFO - Epoch [30][350/1849] lr: 2.000e-04, eta: 1:28:04, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.9160, loss_bbox: 0.7517, loss_iou: 1.1240, d0.loss_cls: 2.0256, d0.loss_bbox: 0.8051, d0.loss_iou: 1.1889, d1.loss_cls: 1.9922, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1643, d2.loss_cls: 1.9569, d2.loss_bbox: 0.7699, d2.loss_iou: 1.1420, d3.loss_cls: 1.9406, d3.loss_bbox: 0.7598, d3.loss_iou: 1.1326, d4.loss_cls: 1.9238, d4.loss_bbox: 0.7537, d4.loss_iou: 1.1266, loss: 23.2581, grad_norm: 18.1892 +2022-10-26 21:43:30,460 - mmdet - INFO - Epoch [30][400/1849] lr: 2.000e-04, eta: 1:27:57, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9361, loss_bbox: 0.7525, loss_iou: 1.1244, d0.loss_cls: 2.0449, d0.loss_bbox: 0.8060, d0.loss_iou: 1.1898, d1.loss_cls: 2.0135, d1.loss_bbox: 0.7863, d1.loss_iou: 1.1660, d2.loss_cls: 1.9782, d2.loss_bbox: 0.7697, d2.loss_iou: 1.1443, d3.loss_cls: 1.9591, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1339, d4.loss_cls: 1.9453, d4.loss_bbox: 0.7542, d4.loss_iou: 1.1269, loss: 23.3903, grad_norm: 16.0081 +2022-10-26 21:43:37,710 - mmdet - INFO - Epoch [30][450/1849] lr: 2.000e-04, eta: 1:27:50, time: 0.145, data_time: 0.004, memory: 4401, loss_cls: 1.9370, loss_bbox: 0.7508, loss_iou: 1.1193, d0.loss_cls: 2.0515, d0.loss_bbox: 0.8055, d0.loss_iou: 1.1852, d1.loss_cls: 2.0135, d1.loss_bbox: 0.7872, d1.loss_iou: 1.1626, d2.loss_cls: 1.9792, d2.loss_bbox: 0.7702, d2.loss_iou: 1.1404, d3.loss_cls: 1.9599, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1287, d4.loss_cls: 1.9444, d4.loss_bbox: 0.7529, d4.loss_iou: 1.1217, loss: 23.3692, grad_norm: 14.6314 +2022-10-26 21:43:44,913 - mmdet - INFO - Epoch [30][500/1849] lr: 2.000e-04, eta: 1:27:44, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.9355, loss_bbox: 0.7507, loss_iou: 1.1277, d0.loss_cls: 2.0452, d0.loss_bbox: 0.8036, d0.loss_iou: 1.1924, d1.loss_cls: 2.0098, d1.loss_bbox: 0.7846, d1.loss_iou: 1.1693, d2.loss_cls: 1.9782, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1478, d3.loss_cls: 1.9576, d3.loss_bbox: 0.7592, d3.loss_iou: 1.1373, d4.loss_cls: 1.9433, d4.loss_bbox: 0.7527, d4.loss_iou: 1.1300, loss: 23.3937, grad_norm: 15.5816 +2022-10-26 21:43:52,166 - mmdet - INFO - Epoch [30][550/1849] lr: 2.000e-04, eta: 1:27:37, time: 0.145, data_time: 0.004, memory: 4401, loss_cls: 1.9326, loss_bbox: 0.7549, loss_iou: 1.1263, d0.loss_cls: 2.0378, d0.loss_bbox: 0.8107, d0.loss_iou: 1.1911, d1.loss_cls: 2.0048, d1.loss_bbox: 0.7909, d1.loss_iou: 1.1672, d2.loss_cls: 1.9738, d2.loss_bbox: 0.7746, d2.loss_iou: 1.1458, d3.loss_cls: 1.9534, d3.loss_bbox: 0.7641, d3.loss_iou: 1.1350, d4.loss_cls: 1.9385, d4.loss_bbox: 0.7573, d4.loss_iou: 1.1290, loss: 23.3879, grad_norm: 15.1827 +2022-10-26 21:43:59,352 - mmdet - INFO - Epoch [30][600/1849] lr: 2.000e-04, eta: 1:27:30, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.9221, loss_bbox: 0.7501, loss_iou: 1.1217, d0.loss_cls: 2.0294, d0.loss_bbox: 0.8033, d0.loss_iou: 1.1872, d1.loss_cls: 1.9963, d1.loss_bbox: 0.7827, d1.loss_iou: 1.1627, d2.loss_cls: 1.9646, d2.loss_bbox: 0.7681, d2.loss_iou: 1.1411, d3.loss_cls: 1.9452, d3.loss_bbox: 0.7578, d3.loss_iou: 1.1307, d4.loss_cls: 1.9312, d4.loss_bbox: 0.7519, d4.loss_iou: 1.1243, loss: 23.2705, grad_norm: 16.5476 +2022-10-26 21:44:06,411 - mmdet - INFO - Epoch [30][650/1849] lr: 2.000e-04, eta: 1:27:24, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9350, loss_bbox: 0.7540, loss_iou: 1.1241, d0.loss_cls: 2.0487, d0.loss_bbox: 0.8075, d0.loss_iou: 1.1912, d1.loss_cls: 2.0116, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1668, d2.loss_cls: 1.9789, d2.loss_bbox: 0.7719, d2.loss_iou: 1.1448, d3.loss_cls: 1.9598, d3.loss_bbox: 0.7624, d3.loss_iou: 1.1337, d4.loss_cls: 1.9448, d4.loss_bbox: 0.7562, d4.loss_iou: 1.1268, loss: 23.4063, grad_norm: 14.9454 +2022-10-26 21:44:13,429 - mmdet - INFO - Epoch [30][700/1849] lr: 2.000e-04, eta: 1:27:17, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9418, loss_bbox: 0.7537, loss_iou: 1.1266, d0.loss_cls: 2.0456, d0.loss_bbox: 0.8062, d0.loss_iou: 1.1897, d1.loss_cls: 2.0102, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1668, d2.loss_cls: 1.9826, d2.loss_bbox: 0.7704, d2.loss_iou: 1.1450, d3.loss_cls: 1.9638, d3.loss_bbox: 0.7612, d3.loss_iou: 1.1350, d4.loss_cls: 1.9498, d4.loss_bbox: 0.7555, d4.loss_iou: 1.1292, loss: 23.4188, grad_norm: 14.9424 +2022-10-26 21:44:20,596 - mmdet - INFO - Epoch [30][750/1849] lr: 2.000e-04, eta: 1:27:10, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9264, loss_bbox: 0.7486, loss_iou: 1.1211, d0.loss_cls: 2.0314, d0.loss_bbox: 0.8032, d0.loss_iou: 1.1883, d1.loss_cls: 2.0005, d1.loss_bbox: 0.7830, d1.loss_iou: 1.1636, d2.loss_cls: 1.9675, d2.loss_bbox: 0.7667, d2.loss_iou: 1.1410, d3.loss_cls: 1.9483, d3.loss_bbox: 0.7569, d3.loss_iou: 1.1304, d4.loss_cls: 1.9337, d4.loss_bbox: 0.7510, d4.loss_iou: 1.1236, loss: 23.2855, grad_norm: 15.1082 +2022-10-26 21:44:27,710 - mmdet - INFO - Epoch [30][800/1849] lr: 2.000e-04, eta: 1:27:04, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9301, loss_bbox: 0.7496, loss_iou: 1.1247, d0.loss_cls: 2.0334, d0.loss_bbox: 0.8026, d0.loss_iou: 1.1900, d1.loss_cls: 2.0024, d1.loss_bbox: 0.7832, d1.loss_iou: 1.1656, d2.loss_cls: 1.9691, d2.loss_bbox: 0.7670, d2.loss_iou: 1.1445, d3.loss_cls: 1.9497, d3.loss_bbox: 0.7568, d3.loss_iou: 1.1343, d4.loss_cls: 1.9386, d4.loss_bbox: 0.7510, d4.loss_iou: 1.1272, loss: 23.3199, grad_norm: 14.9902 +2022-10-26 21:44:34,704 - mmdet - INFO - Epoch [30][850/1849] lr: 2.000e-04, eta: 1:26:57, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9324, loss_bbox: 0.7513, loss_iou: 1.1219, d0.loss_cls: 2.0406, d0.loss_bbox: 0.8039, d0.loss_iou: 1.1867, d1.loss_cls: 2.0086, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1614, d2.loss_cls: 1.9753, d2.loss_bbox: 0.7681, d2.loss_iou: 1.1396, d3.loss_cls: 1.9560, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1299, d4.loss_cls: 1.9396, d4.loss_bbox: 0.7535, d4.loss_iou: 1.1244, loss: 23.3381, grad_norm: 14.6937 +2022-10-26 21:44:41,998 - mmdet - INFO - Epoch [30][900/1849] lr: 2.000e-04, eta: 1:26:50, time: 0.146, data_time: 0.004, memory: 4401, loss_cls: 1.9392, loss_bbox: 0.7497, loss_iou: 1.1183, d0.loss_cls: 2.0428, d0.loss_bbox: 0.8026, d0.loss_iou: 1.1830, d1.loss_cls: 2.0107, d1.loss_bbox: 0.7840, d1.loss_iou: 1.1604, d2.loss_cls: 1.9783, d2.loss_bbox: 0.7679, d2.loss_iou: 1.1381, d3.loss_cls: 1.9606, d3.loss_bbox: 0.7578, d3.loss_iou: 1.1280, d4.loss_cls: 1.9477, d4.loss_bbox: 0.7515, d4.loss_iou: 1.1213, loss: 23.3421, grad_norm: 15.0954 +2022-10-26 21:44:49,024 - mmdet - INFO - Epoch [30][950/1849] lr: 2.000e-04, eta: 1:26:43, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9295, loss_bbox: 0.7475, loss_iou: 1.1200, d0.loss_cls: 2.0399, d0.loss_bbox: 0.8019, d0.loss_iou: 1.1855, d1.loss_cls: 2.0029, d1.loss_bbox: 0.7828, d1.loss_iou: 1.1621, d2.loss_cls: 1.9738, d2.loss_bbox: 0.7661, d2.loss_iou: 1.1402, d3.loss_cls: 1.9533, d3.loss_bbox: 0.7561, d3.loss_iou: 1.1291, d4.loss_cls: 1.9383, d4.loss_bbox: 0.7497, d4.loss_iou: 1.1226, loss: 23.3013, grad_norm: 15.5532 +2022-10-26 21:44:55,946 - mmdet - INFO - Epoch [30][1000/1849] lr: 2.000e-04, eta: 1:26:37, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9409, loss_bbox: 0.7518, loss_iou: 1.1251, d0.loss_cls: 2.0449, d0.loss_bbox: 0.8051, d0.loss_iou: 1.1894, d1.loss_cls: 2.0117, d1.loss_bbox: 0.7860, d1.loss_iou: 1.1668, d2.loss_cls: 1.9812, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1454, d3.loss_cls: 1.9604, d3.loss_bbox: 0.7607, d3.loss_iou: 1.1346, d4.loss_cls: 1.9494, d4.loss_bbox: 0.7540, d4.loss_iou: 1.1276, loss: 23.4060, grad_norm: 20.8319 +2022-10-26 21:45:02,724 - mmdet - INFO - Epoch [30][1050/1849] lr: 2.000e-04, eta: 1:26:30, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9445, loss_bbox: 0.7529, loss_iou: 1.1229, d0.loss_cls: 2.0544, d0.loss_bbox: 0.8056, d0.loss_iou: 1.1886, d1.loss_cls: 2.0215, d1.loss_bbox: 0.7860, d1.loss_iou: 1.1635, d2.loss_cls: 1.9880, d2.loss_bbox: 0.7704, d2.loss_iou: 1.1410, d3.loss_cls: 1.9685, d3.loss_bbox: 0.7603, d3.loss_iou: 1.1315, d4.loss_cls: 1.9525, d4.loss_bbox: 0.7549, d4.loss_iou: 1.1253, loss: 23.4323, grad_norm: 13.5513 +2022-10-26 21:45:09,643 - mmdet - INFO - Epoch [30][1100/1849] lr: 2.000e-04, eta: 1:26:23, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9359, loss_bbox: 0.7517, loss_iou: 1.1238, d0.loss_cls: 2.0457, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1901, d1.loss_cls: 2.0093, d1.loss_bbox: 0.7855, d1.loss_iou: 1.1652, d2.loss_cls: 1.9766, d2.loss_bbox: 0.7701, d2.loss_iou: 1.1433, d3.loss_cls: 1.9571, d3.loss_bbox: 0.7600, d3.loss_iou: 1.1333, d4.loss_cls: 1.9431, d4.loss_bbox: 0.7535, d4.loss_iou: 1.1263, loss: 23.3753, grad_norm: 15.3769 +2022-10-26 21:45:16,339 - mmdet - INFO - Epoch [30][1150/1849] lr: 2.000e-04, eta: 1:26:16, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9328, loss_bbox: 0.7512, loss_iou: 1.1191, d0.loss_cls: 2.0375, d0.loss_bbox: 0.8055, d0.loss_iou: 1.1842, d1.loss_cls: 2.0060, d1.loss_bbox: 0.7850, d1.loss_iou: 1.1616, d2.loss_cls: 1.9747, d2.loss_bbox: 0.7695, d2.loss_iou: 1.1386, d3.loss_cls: 1.9536, d3.loss_bbox: 0.7587, d3.loss_iou: 1.1277, d4.loss_cls: 1.9404, d4.loss_bbox: 0.7532, d4.loss_iou: 1.1212, loss: 23.3204, grad_norm: 14.8470 +2022-10-26 21:45:23,261 - mmdet - INFO - Epoch [30][1200/1849] lr: 2.000e-04, eta: 1:26:09, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9359, loss_bbox: 0.7531, loss_iou: 1.1297, d0.loss_cls: 2.0485, d0.loss_bbox: 0.8089, d0.loss_iou: 1.1952, d1.loss_cls: 2.0133, d1.loss_bbox: 0.7893, d1.loss_iou: 1.1730, d2.loss_cls: 1.9805, d2.loss_bbox: 0.7719, d2.loss_iou: 1.1500, d3.loss_cls: 1.9593, d3.loss_bbox: 0.7620, d3.loss_iou: 1.1391, d4.loss_cls: 1.9451, d4.loss_bbox: 0.7555, d4.loss_iou: 1.1323, loss: 23.4425, grad_norm: 15.6510 +2022-10-26 21:45:30,272 - mmdet - INFO - Epoch [30][1250/1849] lr: 2.000e-04, eta: 1:26:02, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9387, loss_bbox: 0.7517, loss_iou: 1.1229, d0.loss_cls: 2.0467, d0.loss_bbox: 0.8056, d0.loss_iou: 1.1894, d1.loss_cls: 2.0129, d1.loss_bbox: 0.7871, d1.loss_iou: 1.1662, d2.loss_cls: 1.9781, d2.loss_bbox: 0.7706, d2.loss_iou: 1.1443, d3.loss_cls: 1.9601, d3.loss_bbox: 0.7596, d3.loss_iou: 1.1332, d4.loss_cls: 1.9463, d4.loss_bbox: 0.7541, d4.loss_iou: 1.1253, loss: 23.3930, grad_norm: 15.9013 +2022-10-26 21:45:37,135 - mmdet - INFO - Epoch [30][1300/1849] lr: 2.000e-04, eta: 1:25:55, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9480, loss_bbox: 0.7494, loss_iou: 1.1258, d0.loss_cls: 2.0520, d0.loss_bbox: 0.8044, d0.loss_iou: 1.1908, d1.loss_cls: 2.0199, d1.loss_bbox: 0.7844, d1.loss_iou: 1.1671, d2.loss_cls: 1.9877, d2.loss_bbox: 0.7679, d2.loss_iou: 1.1461, d3.loss_cls: 1.9697, d3.loss_bbox: 0.7579, d3.loss_iou: 1.1353, d4.loss_cls: 1.9545, d4.loss_bbox: 0.7517, d4.loss_iou: 1.1286, loss: 23.4413, grad_norm: 15.5685 +2022-10-26 21:45:44,112 - mmdet - INFO - Epoch [30][1350/1849] lr: 2.000e-04, eta: 1:25:49, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9394, loss_bbox: 0.7506, loss_iou: 1.1238, d0.loss_cls: 2.0467, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1893, d1.loss_cls: 2.0146, d1.loss_bbox: 0.7854, d1.loss_iou: 1.1647, d2.loss_cls: 1.9808, d2.loss_bbox: 0.7690, d2.loss_iou: 1.1432, d3.loss_cls: 1.9597, d3.loss_bbox: 0.7590, d3.loss_iou: 1.1328, d4.loss_cls: 1.9461, d4.loss_bbox: 0.7530, d4.loss_iou: 1.1266, loss: 23.3886, grad_norm: 14.2788 +2022-10-26 21:45:51,192 - mmdet - INFO - Epoch [30][1400/1849] lr: 2.000e-04, eta: 1:25:42, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9429, loss_bbox: 0.7544, loss_iou: 1.1208, d0.loss_cls: 2.0462, d0.loss_bbox: 0.8062, d0.loss_iou: 1.1869, d1.loss_cls: 2.0112, d1.loss_bbox: 0.7882, d1.loss_iou: 1.1635, d2.loss_cls: 1.9819, d2.loss_bbox: 0.7719, d2.loss_iou: 1.1414, d3.loss_cls: 1.9645, d3.loss_bbox: 0.7623, d3.loss_iou: 1.1302, d4.loss_cls: 1.9484, d4.loss_bbox: 0.7562, d4.loss_iou: 1.1242, loss: 23.4013, grad_norm: 13.1903 +2022-10-26 21:45:58,321 - mmdet - INFO - Epoch [30][1450/1849] lr: 2.000e-04, eta: 1:25:35, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9571, loss_bbox: 0.7579, loss_iou: 1.1279, d0.loss_cls: 2.0615, d0.loss_bbox: 0.8107, d0.loss_iou: 1.1927, d1.loss_cls: 2.0272, d1.loss_bbox: 0.7925, d1.loss_iou: 1.1683, d2.loss_cls: 1.9951, d2.loss_bbox: 0.7760, d2.loss_iou: 1.1471, d3.loss_cls: 1.9753, d3.loss_bbox: 0.7660, d3.loss_iou: 1.1365, d4.loss_cls: 1.9641, d4.loss_bbox: 0.7596, d4.loss_iou: 1.1305, loss: 23.5460, grad_norm: 15.5377 +2022-10-26 21:46:05,271 - mmdet - INFO - Epoch [30][1500/1849] lr: 2.000e-04, eta: 1:25:28, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9344, loss_bbox: 0.7488, loss_iou: 1.1223, d0.loss_cls: 2.0371, d0.loss_bbox: 0.8025, d0.loss_iou: 1.1842, d1.loss_cls: 2.0052, d1.loss_bbox: 0.7831, d1.loss_iou: 1.1619, d2.loss_cls: 1.9725, d2.loss_bbox: 0.7666, d2.loss_iou: 1.1406, d3.loss_cls: 1.9538, d3.loss_bbox: 0.7565, d3.loss_iou: 1.1302, d4.loss_cls: 1.9422, d4.loss_bbox: 0.7509, d4.loss_iou: 1.1247, loss: 23.3175, grad_norm: 15.8503 +2022-10-26 21:46:12,414 - mmdet - INFO - Epoch [30][1550/1849] lr: 2.000e-04, eta: 1:25:22, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9508, loss_bbox: 0.7550, loss_iou: 1.1247, d0.loss_cls: 2.0581, d0.loss_bbox: 0.8088, d0.loss_iou: 1.1886, d1.loss_cls: 2.0239, d1.loss_bbox: 0.7887, d1.loss_iou: 1.1650, d2.loss_cls: 1.9927, d2.loss_bbox: 0.7729, d2.loss_iou: 1.1438, d3.loss_cls: 1.9744, d3.loss_bbox: 0.7631, d3.loss_iou: 1.1334, d4.loss_cls: 1.9601, d4.loss_bbox: 0.7566, d4.loss_iou: 1.1275, loss: 23.4882, grad_norm: 14.7576 +2022-10-26 21:46:19,500 - mmdet - INFO - Epoch [30][1600/1849] lr: 2.000e-04, eta: 1:25:15, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9367, loss_bbox: 0.7524, loss_iou: 1.1256, d0.loss_cls: 2.0422, d0.loss_bbox: 0.8044, d0.loss_iou: 1.1904, d1.loss_cls: 2.0084, d1.loss_bbox: 0.7853, d1.loss_iou: 1.1664, d2.loss_cls: 1.9752, d2.loss_bbox: 0.7701, d2.loss_iou: 1.1447, d3.loss_cls: 1.9576, d3.loss_bbox: 0.7603, d3.loss_iou: 1.1338, d4.loss_cls: 1.9449, d4.loss_bbox: 0.7544, d4.loss_iou: 1.1277, loss: 23.3807, grad_norm: 14.4938 +2022-10-26 21:46:26,206 - mmdet - INFO - Epoch [30][1650/1849] lr: 2.000e-04, eta: 1:25:08, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9343, loss_bbox: 0.7507, loss_iou: 1.1194, d0.loss_cls: 2.0395, d0.loss_bbox: 0.8057, d0.loss_iou: 1.1849, d1.loss_cls: 2.0047, d1.loss_bbox: 0.7863, d1.loss_iou: 1.1619, d2.loss_cls: 1.9726, d2.loss_bbox: 0.7696, d2.loss_iou: 1.1401, d3.loss_cls: 1.9533, d3.loss_bbox: 0.7588, d3.loss_iou: 1.1297, d4.loss_cls: 1.9417, d4.loss_bbox: 0.7528, d4.loss_iou: 1.1225, loss: 23.3286, grad_norm: 15.2062 +2022-10-26 21:46:32,906 - mmdet - INFO - Epoch [30][1700/1849] lr: 2.000e-04, eta: 1:25:01, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.9375, loss_bbox: 0.7538, loss_iou: 1.1288, d0.loss_cls: 2.0430, d0.loss_bbox: 0.8066, d0.loss_iou: 1.1922, d1.loss_cls: 2.0091, d1.loss_bbox: 0.7873, d1.loss_iou: 1.1694, d2.loss_cls: 1.9756, d2.loss_bbox: 0.7708, d2.loss_iou: 1.1473, d3.loss_cls: 1.9557, d3.loss_bbox: 0.7615, d3.loss_iou: 1.1381, d4.loss_cls: 1.9446, d4.loss_bbox: 0.7559, d4.loss_iou: 1.1316, loss: 23.4089, grad_norm: 16.3405 +2022-10-26 21:46:39,815 - mmdet - INFO - Epoch [30][1750/1849] lr: 2.000e-04, eta: 1:24:54, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9338, loss_bbox: 0.7483, loss_iou: 1.1204, d0.loss_cls: 2.0380, d0.loss_bbox: 0.8023, d0.loss_iou: 1.1875, d1.loss_cls: 2.0101, d1.loss_bbox: 0.7820, d1.loss_iou: 1.1641, d2.loss_cls: 1.9766, d2.loss_bbox: 0.7661, d2.loss_iou: 1.1418, d3.loss_cls: 1.9572, d3.loss_bbox: 0.7556, d3.loss_iou: 1.1301, d4.loss_cls: 1.9424, d4.loss_bbox: 0.7502, d4.loss_iou: 1.1231, loss: 23.3298, grad_norm: 15.3779 +2022-10-26 21:46:47,005 - mmdet - INFO - Epoch [30][1800/1849] lr: 2.000e-04, eta: 1:24:48, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.9470, loss_bbox: 0.7554, loss_iou: 1.1309, d0.loss_cls: 2.0553, d0.loss_bbox: 0.8080, d0.loss_iou: 1.1938, d1.loss_cls: 2.0204, d1.loss_bbox: 0.7894, d1.loss_iou: 1.1700, d2.loss_cls: 1.9858, d2.loss_bbox: 0.7743, d2.loss_iou: 1.1491, d3.loss_cls: 1.9681, d3.loss_bbox: 0.7633, d3.loss_iou: 1.1394, d4.loss_cls: 1.9559, d4.loss_bbox: 0.7573, d4.loss_iou: 1.1331, loss: 23.4966, grad_norm: 16.7955 +2022-10-26 21:46:53,926 - mmdet - INFO - Saving checkpoint at 30 epochs +2022-10-26 21:47:04,751 - mmdet - INFO - Epoch [31][50/1849] lr: 2.000e-04, eta: 1:24:32, time: 0.204, data_time: 0.063, memory: 4401, loss_cls: 1.9155, loss_bbox: 0.7515, loss_iou: 1.1243, d0.loss_cls: 2.0233, d0.loss_bbox: 0.8051, d0.loss_iou: 1.1876, d1.loss_cls: 1.9913, d1.loss_bbox: 0.7879, d1.loss_iou: 1.1656, d2.loss_cls: 1.9624, d2.loss_bbox: 0.7714, d2.loss_iou: 1.1441, d3.loss_cls: 1.9413, d3.loss_bbox: 0.7602, d3.loss_iou: 1.1340, d4.loss_cls: 1.9262, d4.loss_bbox: 0.7537, d4.loss_iou: 1.1269, loss: 23.2724, grad_norm: 15.5745 +2022-10-26 21:47:11,818 - mmdet - INFO - Epoch [31][100/1849] lr: 2.000e-04, eta: 1:24:25, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9217, loss_bbox: 0.7512, loss_iou: 1.1295, d0.loss_cls: 2.0243, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1945, d1.loss_cls: 1.9955, d1.loss_bbox: 0.7852, d1.loss_iou: 1.1713, d2.loss_cls: 1.9630, d2.loss_bbox: 0.7694, d2.loss_iou: 1.1492, d3.loss_cls: 1.9422, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1393, d4.loss_cls: 1.9296, d4.loss_bbox: 0.7527, d4.loss_iou: 1.1322, loss: 23.3136, grad_norm: 17.4023 +2022-10-26 21:47:19,155 - mmdet - INFO - Epoch [31][150/1849] lr: 2.000e-04, eta: 1:24:18, time: 0.147, data_time: 0.005, memory: 4401, loss_cls: 1.9276, loss_bbox: 0.7512, loss_iou: 1.1201, d0.loss_cls: 2.0352, d0.loss_bbox: 0.8057, d0.loss_iou: 1.1843, d1.loss_cls: 2.0042, d1.loss_bbox: 0.7863, d1.loss_iou: 1.1604, d2.loss_cls: 1.9689, d2.loss_bbox: 0.7704, d2.loss_iou: 1.1387, d3.loss_cls: 1.9507, d3.loss_bbox: 0.7586, d3.loss_iou: 1.1281, d4.loss_cls: 1.9363, d4.loss_bbox: 0.7534, d4.loss_iou: 1.1226, loss: 23.3027, grad_norm: 15.8215 +2022-10-26 21:47:26,363 - mmdet - INFO - Epoch [31][200/1849] lr: 2.000e-04, eta: 1:24:12, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9330, loss_bbox: 0.7495, loss_iou: 1.1223, d0.loss_cls: 2.0425, d0.loss_bbox: 0.8027, d0.loss_iou: 1.1864, d1.loss_cls: 2.0087, d1.loss_bbox: 0.7837, d1.loss_iou: 1.1638, d2.loss_cls: 1.9765, d2.loss_bbox: 0.7672, d2.loss_iou: 1.1415, d3.loss_cls: 1.9564, d3.loss_bbox: 0.7570, d3.loss_iou: 1.1315, d4.loss_cls: 1.9415, d4.loss_bbox: 0.7514, d4.loss_iou: 1.1250, loss: 23.3405, grad_norm: 14.0945 +2022-10-26 21:47:33,551 - mmdet - INFO - Epoch [31][250/1849] lr: 2.000e-04, eta: 1:24:05, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9239, loss_bbox: 0.7523, loss_iou: 1.1181, d0.loss_cls: 2.0338, d0.loss_bbox: 0.8064, d0.loss_iou: 1.1835, d1.loss_cls: 1.9959, d1.loss_bbox: 0.7862, d1.loss_iou: 1.1598, d2.loss_cls: 1.9663, d2.loss_bbox: 0.7695, d2.loss_iou: 1.1386, d3.loss_cls: 1.9457, d3.loss_bbox: 0.7601, d3.loss_iou: 1.1273, d4.loss_cls: 1.9322, d4.loss_bbox: 0.7544, d4.loss_iou: 1.1211, loss: 23.2750, grad_norm: 16.3899 +2022-10-26 21:47:40,623 - mmdet - INFO - Epoch [31][300/1849] lr: 2.000e-04, eta: 1:23:58, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9160, loss_bbox: 0.7456, loss_iou: 1.1222, d0.loss_cls: 2.0314, d0.loss_bbox: 0.7986, d0.loss_iou: 1.1857, d1.loss_cls: 1.9932, d1.loss_bbox: 0.7795, d1.loss_iou: 1.1633, d2.loss_cls: 1.9596, d2.loss_bbox: 0.7632, d2.loss_iou: 1.1421, d3.loss_cls: 1.9399, d3.loss_bbox: 0.7533, d3.loss_iou: 1.1314, d4.loss_cls: 1.9256, d4.loss_bbox: 0.7475, d4.loss_iou: 1.1243, loss: 23.2223, grad_norm: 15.2625 +2022-10-26 21:47:47,657 - mmdet - INFO - Epoch [31][350/1849] lr: 2.000e-04, eta: 1:23:52, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9256, loss_bbox: 0.7518, loss_iou: 1.1242, d0.loss_cls: 2.0335, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1872, d1.loss_cls: 1.9987, d1.loss_bbox: 0.7865, d1.loss_iou: 1.1659, d2.loss_cls: 1.9672, d2.loss_bbox: 0.7708, d2.loss_iou: 1.1432, d3.loss_cls: 1.9466, d3.loss_bbox: 0.7603, d3.loss_iou: 1.1327, d4.loss_cls: 1.9311, d4.loss_bbox: 0.7540, d4.loss_iou: 1.1265, loss: 23.3104, grad_norm: 14.1140 +2022-10-26 21:47:54,598 - mmdet - INFO - Epoch [31][400/1849] lr: 2.000e-04, eta: 1:23:45, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9195, loss_bbox: 0.7486, loss_iou: 1.1175, d0.loss_cls: 2.0250, d0.loss_bbox: 0.8008, d0.loss_iou: 1.1816, d1.loss_cls: 1.9950, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1577, d2.loss_cls: 1.9628, d2.loss_bbox: 0.7673, d2.loss_iou: 1.1372, d3.loss_cls: 1.9407, d3.loss_bbox: 0.7563, d3.loss_iou: 1.1265, d4.loss_cls: 1.9277, d4.loss_bbox: 0.7507, d4.loss_iou: 1.1200, loss: 23.2173, grad_norm: 16.1803 +2022-10-26 21:48:01,602 - mmdet - INFO - Epoch [31][450/1849] lr: 2.000e-04, eta: 1:23:38, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9344, loss_bbox: 0.7485, loss_iou: 1.1245, d0.loss_cls: 2.0405, d0.loss_bbox: 0.8027, d0.loss_iou: 1.1913, d1.loss_cls: 2.0066, d1.loss_bbox: 0.7821, d1.loss_iou: 1.1660, d2.loss_cls: 1.9756, d2.loss_bbox: 0.7658, d2.loss_iou: 1.1441, d3.loss_cls: 1.9559, d3.loss_bbox: 0.7560, d3.loss_iou: 1.1330, d4.loss_cls: 1.9423, d4.loss_bbox: 0.7505, d4.loss_iou: 1.1275, loss: 23.3475, grad_norm: 15.9452 +2022-10-26 21:48:08,499 - mmdet - INFO - Epoch [31][500/1849] lr: 2.000e-04, eta: 1:23:31, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9457, loss_bbox: 0.7513, loss_iou: 1.1258, d0.loss_cls: 2.0539, d0.loss_bbox: 0.8056, d0.loss_iou: 1.1925, d1.loss_cls: 2.0214, d1.loss_bbox: 0.7855, d1.loss_iou: 1.1670, d2.loss_cls: 1.9884, d2.loss_bbox: 0.7700, d2.loss_iou: 1.1447, d3.loss_cls: 1.9667, d3.loss_bbox: 0.7603, d3.loss_iou: 1.1351, d4.loss_cls: 1.9513, d4.loss_bbox: 0.7541, d4.loss_iou: 1.1283, loss: 23.4476, grad_norm: 14.9194 +2022-10-26 21:48:15,237 - mmdet - INFO - Epoch [31][550/1849] lr: 2.000e-04, eta: 1:23:24, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9190, loss_bbox: 0.7506, loss_iou: 1.1216, d0.loss_cls: 2.0280, d0.loss_bbox: 0.8035, d0.loss_iou: 1.1872, d1.loss_cls: 1.9946, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1636, d2.loss_cls: 1.9649, d2.loss_bbox: 0.7685, d2.loss_iou: 1.1415, d3.loss_cls: 1.9429, d3.loss_bbox: 0.7588, d3.loss_iou: 1.1311, d4.loss_cls: 1.9289, d4.loss_bbox: 0.7528, d4.loss_iou: 1.1239, loss: 23.2670, grad_norm: 14.2935 +2022-10-26 21:48:22,155 - mmdet - INFO - Epoch [31][600/1849] lr: 2.000e-04, eta: 1:23:17, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9236, loss_bbox: 0.7499, loss_iou: 1.1199, d0.loss_cls: 2.0295, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1850, d1.loss_cls: 1.9925, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1627, d2.loss_cls: 1.9599, d2.loss_bbox: 0.7684, d2.loss_iou: 1.1409, d3.loss_cls: 1.9421, d3.loss_bbox: 0.7579, d3.loss_iou: 1.1300, d4.loss_cls: 1.9298, d4.loss_bbox: 0.7524, d4.loss_iou: 1.1230, loss: 23.2564, grad_norm: 14.1446 +2022-10-26 21:48:29,129 - mmdet - INFO - Epoch [31][650/1849] lr: 2.000e-04, eta: 1:23:11, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9324, loss_bbox: 0.7484, loss_iou: 1.1186, d0.loss_cls: 2.0380, d0.loss_bbox: 0.8017, d0.loss_iou: 1.1828, d1.loss_cls: 2.0048, d1.loss_bbox: 0.7836, d1.loss_iou: 1.1595, d2.loss_cls: 1.9721, d2.loss_bbox: 0.7664, d2.loss_iou: 1.1386, d3.loss_cls: 1.9542, d3.loss_bbox: 0.7561, d3.loss_iou: 1.1275, d4.loss_cls: 1.9405, d4.loss_bbox: 0.7508, d4.loss_iou: 1.1205, loss: 23.2964, grad_norm: 15.5579 +2022-10-26 21:48:35,925 - mmdet - INFO - Epoch [31][700/1849] lr: 2.000e-04, eta: 1:23:04, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9462, loss_bbox: 0.7503, loss_iou: 1.1209, d0.loss_cls: 2.0540, d0.loss_bbox: 0.8041, d0.loss_iou: 1.1859, d1.loss_cls: 2.0183, d1.loss_bbox: 0.7852, d1.loss_iou: 1.1624, d2.loss_cls: 1.9881, d2.loss_bbox: 0.7689, d2.loss_iou: 1.1401, d3.loss_cls: 1.9701, d3.loss_bbox: 0.7584, d3.loss_iou: 1.1300, d4.loss_cls: 1.9543, d4.loss_bbox: 0.7521, d4.loss_iou: 1.1235, loss: 23.4128, grad_norm: 15.2168 +2022-10-26 21:48:42,814 - mmdet - INFO - Epoch [31][750/1849] lr: 2.000e-04, eta: 1:22:57, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9386, loss_bbox: 0.7508, loss_iou: 1.1266, d0.loss_cls: 2.0439, d0.loss_bbox: 0.8041, d0.loss_iou: 1.1908, d1.loss_cls: 2.0150, d1.loss_bbox: 0.7837, d1.loss_iou: 1.1666, d2.loss_cls: 1.9818, d2.loss_bbox: 0.7680, d2.loss_iou: 1.1451, d3.loss_cls: 1.9615, d3.loss_bbox: 0.7589, d3.loss_iou: 1.1352, d4.loss_cls: 1.9466, d4.loss_bbox: 0.7529, d4.loss_iou: 1.1289, loss: 23.3990, grad_norm: 14.4649 +2022-10-26 21:48:49,497 - mmdet - INFO - Epoch [31][800/1849] lr: 2.000e-04, eta: 1:22:50, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.9321, loss_bbox: 0.7499, loss_iou: 1.1244, d0.loss_cls: 2.0400, d0.loss_bbox: 0.8044, d0.loss_iou: 1.1890, d1.loss_cls: 2.0095, d1.loss_bbox: 0.7853, d1.loss_iou: 1.1651, d2.loss_cls: 1.9726, d2.loss_bbox: 0.7680, d2.loss_iou: 1.1430, d3.loss_cls: 1.9547, d3.loss_bbox: 0.7585, d3.loss_iou: 1.1322, d4.loss_cls: 1.9407, d4.loss_bbox: 0.7527, d4.loss_iou: 1.1261, loss: 23.3481, grad_norm: 15.2464 +2022-10-26 21:48:56,559 - mmdet - INFO - Epoch [31][850/1849] lr: 2.000e-04, eta: 1:22:43, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9472, loss_bbox: 0.7532, loss_iou: 1.1277, d0.loss_cls: 2.0551, d0.loss_bbox: 0.8061, d0.loss_iou: 1.1919, d1.loss_cls: 2.0197, d1.loss_bbox: 0.7869, d1.loss_iou: 1.1698, d2.loss_cls: 1.9889, d2.loss_bbox: 0.7700, d2.loss_iou: 1.1483, d3.loss_cls: 1.9695, d3.loss_bbox: 0.7607, d3.loss_iou: 1.1363, d4.loss_cls: 1.9550, d4.loss_bbox: 0.7555, d4.loss_iou: 1.1304, loss: 23.4723, grad_norm: 14.9342 +2022-10-26 21:49:03,613 - mmdet - INFO - Epoch [31][900/1849] lr: 2.000e-04, eta: 1:22:36, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9361, loss_bbox: 0.7438, loss_iou: 1.1171, d0.loss_cls: 2.0461, d0.loss_bbox: 0.7976, d0.loss_iou: 1.1832, d1.loss_cls: 2.0114, d1.loss_bbox: 0.7778, d1.loss_iou: 1.1594, d2.loss_cls: 1.9800, d2.loss_bbox: 0.7605, d2.loss_iou: 1.1375, d3.loss_cls: 1.9599, d3.loss_bbox: 0.7510, d3.loss_iou: 1.1260, d4.loss_cls: 1.9453, d4.loss_bbox: 0.7458, d4.loss_iou: 1.1199, loss: 23.2982, grad_norm: 15.4433 +2022-10-26 21:49:10,784 - mmdet - INFO - Epoch [31][950/1849] lr: 2.000e-04, eta: 1:22:30, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9358, loss_bbox: 0.7516, loss_iou: 1.1221, d0.loss_cls: 2.0431, d0.loss_bbox: 0.8048, d0.loss_iou: 1.1870, d1.loss_cls: 2.0077, d1.loss_bbox: 0.7852, d1.loss_iou: 1.1620, d2.loss_cls: 1.9764, d2.loss_bbox: 0.7693, d2.loss_iou: 1.1405, d3.loss_cls: 1.9563, d3.loss_bbox: 0.7590, d3.loss_iou: 1.1309, d4.loss_cls: 1.9423, d4.loss_bbox: 0.7536, d4.loss_iou: 1.1251, loss: 23.3529, grad_norm: 15.8914 +2022-10-26 21:49:17,561 - mmdet - INFO - Epoch [31][1000/1849] lr: 2.000e-04, eta: 1:22:23, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9307, loss_bbox: 0.7497, loss_iou: 1.1208, d0.loss_cls: 2.0355, d0.loss_bbox: 0.8029, d0.loss_iou: 1.1848, d1.loss_cls: 2.0045, d1.loss_bbox: 0.7839, d1.loss_iou: 1.1625, d2.loss_cls: 1.9731, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1401, d3.loss_cls: 1.9528, d3.loss_bbox: 0.7581, d3.loss_iou: 1.1295, d4.loss_cls: 1.9399, d4.loss_bbox: 0.7524, d4.loss_iou: 1.1236, loss: 23.3136, grad_norm: 14.3295 +2022-10-26 21:49:24,376 - mmdet - INFO - Epoch [31][1050/1849] lr: 2.000e-04, eta: 1:22:16, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9321, loss_bbox: 0.7497, loss_iou: 1.1257, d0.loss_cls: 2.0377, d0.loss_bbox: 0.8022, d0.loss_iou: 1.1901, d1.loss_cls: 2.0042, d1.loss_bbox: 0.7834, d1.loss_iou: 1.1667, d2.loss_cls: 1.9721, d2.loss_bbox: 0.7675, d2.loss_iou: 1.1449, d3.loss_cls: 1.9541, d3.loss_bbox: 0.7569, d3.loss_iou: 1.1345, d4.loss_cls: 1.9403, d4.loss_bbox: 0.7516, d4.loss_iou: 1.1283, loss: 23.3417, grad_norm: 15.3903 +2022-10-26 21:49:31,298 - mmdet - INFO - Epoch [31][1100/1849] lr: 2.000e-04, eta: 1:22:09, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9264, loss_bbox: 0.7484, loss_iou: 1.1189, d0.loss_cls: 2.0336, d0.loss_bbox: 0.8026, d0.loss_iou: 1.1840, d1.loss_cls: 2.0003, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1593, d2.loss_cls: 1.9639, d2.loss_bbox: 0.7662, d2.loss_iou: 1.1384, d3.loss_cls: 1.9464, d3.loss_bbox: 0.7560, d3.loss_iou: 1.1280, d4.loss_cls: 1.9340, d4.loss_bbox: 0.7504, d4.loss_iou: 1.1217, loss: 23.2610, grad_norm: 16.3100 +2022-10-26 21:49:38,136 - mmdet - INFO - Epoch [31][1150/1849] lr: 2.000e-04, eta: 1:22:02, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9228, loss_bbox: 0.7438, loss_iou: 1.1157, d0.loss_cls: 2.0288, d0.loss_bbox: 0.7987, d0.loss_iou: 1.1829, d1.loss_cls: 1.9946, d1.loss_bbox: 0.7792, d1.loss_iou: 1.1580, d2.loss_cls: 1.9635, d2.loss_bbox: 0.7634, d2.loss_iou: 1.1366, d3.loss_cls: 1.9431, d3.loss_bbox: 0.7523, d3.loss_iou: 1.1254, d4.loss_cls: 1.9281, d4.loss_bbox: 0.7461, d4.loss_iou: 1.1187, loss: 23.2017, grad_norm: 14.7639 +2022-10-26 21:49:45,170 - mmdet - INFO - Epoch [31][1200/1849] lr: 2.000e-04, eta: 1:21:55, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9312, loss_bbox: 0.7485, loss_iou: 1.1190, d0.loss_cls: 2.0373, d0.loss_bbox: 0.8033, d0.loss_iou: 1.1846, d1.loss_cls: 2.0037, d1.loss_bbox: 0.7834, d1.loss_iou: 1.1608, d2.loss_cls: 1.9720, d2.loss_bbox: 0.7662, d2.loss_iou: 1.1388, d3.loss_cls: 1.9506, d3.loss_bbox: 0.7563, d3.loss_iou: 1.1283, d4.loss_cls: 1.9378, d4.loss_bbox: 0.7503, d4.loss_iou: 1.1217, loss: 23.2938, grad_norm: 15.6591 +2022-10-26 21:49:52,059 - mmdet - INFO - Epoch [31][1250/1849] lr: 2.000e-04, eta: 1:21:48, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9378, loss_bbox: 0.7512, loss_iou: 1.1263, d0.loss_cls: 2.0426, d0.loss_bbox: 0.8041, d0.loss_iou: 1.1911, d1.loss_cls: 2.0097, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1672, d2.loss_cls: 1.9797, d2.loss_bbox: 0.7690, d2.loss_iou: 1.1460, d3.loss_cls: 1.9572, d3.loss_bbox: 0.7600, d3.loss_iou: 1.1359, d4.loss_cls: 1.9454, d4.loss_bbox: 0.7535, d4.loss_iou: 1.1287, loss: 23.3910, grad_norm: 14.1115 +2022-10-26 21:49:59,070 - mmdet - INFO - Epoch [31][1300/1849] lr: 2.000e-04, eta: 1:21:42, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9444, loss_bbox: 0.7568, loss_iou: 1.1256, d0.loss_cls: 2.0512, d0.loss_bbox: 0.8106, d0.loss_iou: 1.1930, d1.loss_cls: 2.0159, d1.loss_bbox: 0.7911, d1.loss_iou: 1.1678, d2.loss_cls: 1.9846, d2.loss_bbox: 0.7752, d2.loss_iou: 1.1465, d3.loss_cls: 1.9650, d3.loss_bbox: 0.7652, d3.loss_iou: 1.1356, d4.loss_cls: 1.9522, d4.loss_bbox: 0.7587, d4.loss_iou: 1.1287, loss: 23.4680, grad_norm: 14.3947 +2022-10-26 21:50:06,022 - mmdet - INFO - Epoch [31][1350/1849] lr: 2.000e-04, eta: 1:21:35, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9329, loss_bbox: 0.7500, loss_iou: 1.1235, d0.loss_cls: 2.0391, d0.loss_bbox: 0.8054, d0.loss_iou: 1.1893, d1.loss_cls: 2.0061, d1.loss_bbox: 0.7849, d1.loss_iou: 1.1644, d2.loss_cls: 1.9740, d2.loss_bbox: 0.7687, d2.loss_iou: 1.1432, d3.loss_cls: 1.9543, d3.loss_bbox: 0.7579, d3.loss_iou: 1.1326, d4.loss_cls: 1.9408, d4.loss_bbox: 0.7521, d4.loss_iou: 1.1258, loss: 23.3450, grad_norm: 14.5137 +2022-10-26 21:50:13,018 - mmdet - INFO - Epoch [31][1400/1849] lr: 2.000e-04, eta: 1:21:28, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9348, loss_bbox: 0.7498, loss_iou: 1.1232, d0.loss_cls: 2.0440, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1889, d1.loss_cls: 2.0073, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1643, d2.loss_cls: 1.9770, d2.loss_bbox: 0.7686, d2.loss_iou: 1.1428, d3.loss_cls: 1.9569, d3.loss_bbox: 0.7580, d3.loss_iou: 1.1316, d4.loss_cls: 1.9447, d4.loss_bbox: 0.7522, d4.loss_iou: 1.1258, loss: 23.3590, grad_norm: 15.9898 +2022-10-26 21:50:19,958 - mmdet - INFO - Epoch [31][1450/1849] lr: 2.000e-04, eta: 1:21:21, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9373, loss_bbox: 0.7512, loss_iou: 1.1245, d0.loss_cls: 2.0487, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1902, d1.loss_cls: 2.0165, d1.loss_bbox: 0.7857, d1.loss_iou: 1.1651, d2.loss_cls: 1.9800, d2.loss_bbox: 0.7686, d2.loss_iou: 1.1444, d3.loss_cls: 1.9605, d3.loss_bbox: 0.7588, d3.loss_iou: 1.1338, d4.loss_cls: 1.9472, d4.loss_bbox: 0.7529, d4.loss_iou: 1.1268, loss: 23.3969, grad_norm: 15.1592 +2022-10-26 21:50:26,847 - mmdet - INFO - Epoch [31][1500/1849] lr: 2.000e-04, eta: 1:21:14, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9318, loss_bbox: 0.7541, loss_iou: 1.1278, d0.loss_cls: 2.0416, d0.loss_bbox: 0.8061, d0.loss_iou: 1.1930, d1.loss_cls: 2.0050, d1.loss_bbox: 0.7884, d1.loss_iou: 1.1696, d2.loss_cls: 1.9724, d2.loss_bbox: 0.7722, d2.loss_iou: 1.1479, d3.loss_cls: 1.9525, d3.loss_bbox: 0.7623, d3.loss_iou: 1.1370, d4.loss_cls: 1.9388, d4.loss_bbox: 0.7559, d4.loss_iou: 1.1306, loss: 23.3870, grad_norm: 15.4282 +2022-10-26 21:50:33,814 - mmdet - INFO - Epoch [31][1550/1849] lr: 2.000e-04, eta: 1:21:08, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9334, loss_bbox: 0.7506, loss_iou: 1.1198, d0.loss_cls: 2.0407, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1842, d1.loss_cls: 2.0103, d1.loss_bbox: 0.7848, d1.loss_iou: 1.1608, d2.loss_cls: 1.9747, d2.loss_bbox: 0.7686, d2.loss_iou: 1.1399, d3.loss_cls: 1.9568, d3.loss_bbox: 0.7593, d3.loss_iou: 1.1290, d4.loss_cls: 1.9398, d4.loss_bbox: 0.7527, d4.loss_iou: 1.1224, loss: 23.3314, grad_norm: 13.9914 +2022-10-26 21:50:40,758 - mmdet - INFO - Epoch [31][1600/1849] lr: 2.000e-04, eta: 1:21:01, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9366, loss_bbox: 0.7531, loss_iou: 1.1272, d0.loss_cls: 2.0386, d0.loss_bbox: 0.8060, d0.loss_iou: 1.1914, d1.loss_cls: 2.0062, d1.loss_bbox: 0.7867, d1.loss_iou: 1.1673, d2.loss_cls: 1.9766, d2.loss_bbox: 0.7711, d2.loss_iou: 1.1462, d3.loss_cls: 1.9572, d3.loss_bbox: 0.7612, d3.loss_iou: 1.1359, d4.loss_cls: 1.9429, d4.loss_bbox: 0.7553, d4.loss_iou: 1.1294, loss: 23.3889, grad_norm: 16.4802 +2022-10-26 21:50:47,709 - mmdet - INFO - Epoch [31][1650/1849] lr: 2.000e-04, eta: 1:20:54, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9250, loss_bbox: 0.7510, loss_iou: 1.1233, d0.loss_cls: 2.0359, d0.loss_bbox: 0.8055, d0.loss_iou: 1.1902, d1.loss_cls: 2.0011, d1.loss_bbox: 0.7848, d1.loss_iou: 1.1667, d2.loss_cls: 1.9721, d2.loss_bbox: 0.7691, d2.loss_iou: 1.1444, d3.loss_cls: 1.9492, d3.loss_bbox: 0.7593, d3.loss_iou: 1.1330, d4.loss_cls: 1.9319, d4.loss_bbox: 0.7531, d4.loss_iou: 1.1265, loss: 23.3223, grad_norm: 18.4633 +2022-10-26 21:50:54,476 - mmdet - INFO - Epoch [31][1700/1849] lr: 2.000e-04, eta: 1:20:47, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9243, loss_bbox: 0.7507, loss_iou: 1.1165, d0.loss_cls: 2.0305, d0.loss_bbox: 0.8042, d0.loss_iou: 1.1819, d1.loss_cls: 1.9986, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1584, d2.loss_cls: 1.9667, d2.loss_bbox: 0.7692, d2.loss_iou: 1.1360, d3.loss_cls: 1.9456, d3.loss_bbox: 0.7586, d3.loss_iou: 1.1259, d4.loss_cls: 1.9311, d4.loss_bbox: 0.7528, d4.loss_iou: 1.1192, loss: 23.2557, grad_norm: 16.3980 +2022-10-26 21:51:01,363 - mmdet - INFO - Epoch [31][1750/1849] lr: 2.000e-04, eta: 1:20:40, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9377, loss_bbox: 0.7513, loss_iou: 1.1224, d0.loss_cls: 2.0478, d0.loss_bbox: 0.8059, d0.loss_iou: 1.1876, d1.loss_cls: 2.0144, d1.loss_bbox: 0.7869, d1.loss_iou: 1.1636, d2.loss_cls: 1.9785, d2.loss_bbox: 0.7706, d2.loss_iou: 1.1425, d3.loss_cls: 1.9596, d3.loss_bbox: 0.7598, d3.loss_iou: 1.1311, d4.loss_cls: 1.9451, d4.loss_bbox: 0.7535, d4.loss_iou: 1.1246, loss: 23.3831, grad_norm: 16.0252 +2022-10-26 21:51:08,248 - mmdet - INFO - Epoch [31][1800/1849] lr: 2.000e-04, eta: 1:20:33, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9361, loss_bbox: 0.7508, loss_iou: 1.1203, d0.loss_cls: 2.0380, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1861, d1.loss_cls: 2.0070, d1.loss_bbox: 0.7858, d1.loss_iou: 1.1625, d2.loss_cls: 1.9752, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1400, d3.loss_cls: 1.9589, d3.loss_bbox: 0.7590, d3.loss_iou: 1.1296, d4.loss_cls: 1.9427, d4.loss_bbox: 0.7525, d4.loss_iou: 1.1226, loss: 23.3396, grad_norm: 15.1044 +2022-10-26 21:51:15,216 - mmdet - INFO - Saving checkpoint at 31 epochs +2022-10-26 21:51:28,301 - mmdet - INFO - Epoch [32][50/1849] lr: 2.000e-04, eta: 1:20:19, time: 0.247, data_time: 0.113, memory: 4401, loss_cls: 1.9012, loss_bbox: 0.7499, loss_iou: 1.1195, d0.loss_cls: 2.0093, d0.loss_bbox: 0.8033, d0.loss_iou: 1.1861, d1.loss_cls: 1.9729, d1.loss_bbox: 0.7844, d1.loss_iou: 1.1618, d2.loss_cls: 1.9414, d2.loss_bbox: 0.7679, d2.loss_iou: 1.1395, d3.loss_cls: 1.9219, d3.loss_bbox: 0.7572, d3.loss_iou: 1.1288, d4.loss_cls: 1.9091, d4.loss_bbox: 0.7517, d4.loss_iou: 1.1225, loss: 23.1282, grad_norm: 17.3851 +2022-10-26 21:51:35,238 - mmdet - INFO - Epoch [32][100/1849] lr: 2.000e-04, eta: 1:20:12, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9126, loss_bbox: 0.7460, loss_iou: 1.1185, d0.loss_cls: 2.0207, d0.loss_bbox: 0.8005, d0.loss_iou: 1.1846, d1.loss_cls: 1.9869, d1.loss_bbox: 0.7813, d1.loss_iou: 1.1596, d2.loss_cls: 1.9549, d2.loss_bbox: 0.7649, d2.loss_iou: 1.1390, d3.loss_cls: 1.9355, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1281, d4.loss_cls: 1.9221, d4.loss_bbox: 0.7481, d4.loss_iou: 1.1215, loss: 23.1792, grad_norm: 15.5354 +2022-10-26 21:51:42,360 - mmdet - INFO - Epoch [32][150/1849] lr: 2.000e-04, eta: 1:20:05, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9298, loss_bbox: 0.7509, loss_iou: 1.1200, d0.loss_cls: 2.0386, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1851, d1.loss_cls: 2.0048, d1.loss_bbox: 0.7851, d1.loss_iou: 1.1610, d2.loss_cls: 1.9723, d2.loss_bbox: 0.7684, d2.loss_iou: 1.1394, d3.loss_cls: 1.9544, d3.loss_bbox: 0.7590, d3.loss_iou: 1.1286, d4.loss_cls: 1.9379, d4.loss_bbox: 0.7529, d4.loss_iou: 1.1225, loss: 23.3148, grad_norm: 14.7766 +2022-10-26 21:51:49,296 - mmdet - INFO - Epoch [32][200/1849] lr: 2.000e-04, eta: 1:19:58, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9317, loss_bbox: 0.7469, loss_iou: 1.1205, d0.loss_cls: 2.0398, d0.loss_bbox: 0.8017, d0.loss_iou: 1.1859, d1.loss_cls: 2.0019, d1.loss_bbox: 0.7813, d1.loss_iou: 1.1617, d2.loss_cls: 1.9729, d2.loss_bbox: 0.7642, d2.loss_iou: 1.1393, d3.loss_cls: 1.9530, d3.loss_bbox: 0.7538, d3.loss_iou: 1.1291, d4.loss_cls: 1.9383, d4.loss_bbox: 0.7487, d4.loss_iou: 1.1234, loss: 23.2941, grad_norm: 14.4064 +2022-10-26 21:51:56,382 - mmdet - INFO - Epoch [32][250/1849] lr: 2.000e-04, eta: 1:19:52, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9338, loss_bbox: 0.7476, loss_iou: 1.1185, d0.loss_cls: 2.0413, d0.loss_bbox: 0.8022, d0.loss_iou: 1.1834, d1.loss_cls: 2.0058, d1.loss_bbox: 0.7838, d1.loss_iou: 1.1611, d2.loss_cls: 1.9741, d2.loss_bbox: 0.7663, d2.loss_iou: 1.1388, d3.loss_cls: 1.9545, d3.loss_bbox: 0.7562, d3.loss_iou: 1.1274, d4.loss_cls: 1.9420, d4.loss_bbox: 0.7494, d4.loss_iou: 1.1211, loss: 23.3072, grad_norm: 15.0227 +2022-10-26 21:52:03,528 - mmdet - INFO - Epoch [32][300/1849] lr: 2.000e-04, eta: 1:19:45, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9271, loss_bbox: 0.7515, loss_iou: 1.1229, d0.loss_cls: 2.0381, d0.loss_bbox: 0.8065, d0.loss_iou: 1.1899, d1.loss_cls: 2.0007, d1.loss_bbox: 0.7872, d1.loss_iou: 1.1643, d2.loss_cls: 1.9684, d2.loss_bbox: 0.7713, d2.loss_iou: 1.1432, d3.loss_cls: 1.9506, d3.loss_bbox: 0.7606, d3.loss_iou: 1.1323, d4.loss_cls: 1.9354, d4.loss_bbox: 0.7535, d4.loss_iou: 1.1256, loss: 23.3291, grad_norm: 14.6219 +2022-10-26 21:52:10,578 - mmdet - INFO - Epoch [32][350/1849] lr: 2.000e-04, eta: 1:19:38, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9272, loss_bbox: 0.7529, loss_iou: 1.1250, d0.loss_cls: 2.0362, d0.loss_bbox: 0.8067, d0.loss_iou: 1.1885, d1.loss_cls: 1.9999, d1.loss_bbox: 0.7872, d1.loss_iou: 1.1661, d2.loss_cls: 1.9676, d2.loss_bbox: 0.7712, d2.loss_iou: 1.1447, d3.loss_cls: 1.9477, d3.loss_bbox: 0.7617, d3.loss_iou: 1.1340, d4.loss_cls: 1.9342, d4.loss_bbox: 0.7553, d4.loss_iou: 1.1277, loss: 23.3341, grad_norm: 15.2749 +2022-10-26 21:52:17,353 - mmdet - INFO - Epoch [32][400/1849] lr: 2.000e-04, eta: 1:19:31, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9266, loss_bbox: 0.7434, loss_iou: 1.1189, d0.loss_cls: 2.0360, d0.loss_bbox: 0.7973, d0.loss_iou: 1.1857, d1.loss_cls: 2.0021, d1.loss_bbox: 0.7779, d1.loss_iou: 1.1602, d2.loss_cls: 1.9680, d2.loss_bbox: 0.7604, d2.loss_iou: 1.1393, d3.loss_cls: 1.9481, d3.loss_bbox: 0.7508, d3.loss_iou: 1.1283, d4.loss_cls: 1.9362, d4.loss_bbox: 0.7450, d4.loss_iou: 1.1219, loss: 23.2461, grad_norm: 15.1877 +2022-10-26 21:52:24,407 - mmdet - INFO - Epoch [32][450/1849] lr: 2.000e-04, eta: 1:19:25, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9232, loss_bbox: 0.7527, loss_iou: 1.1269, d0.loss_cls: 2.0301, d0.loss_bbox: 0.8064, d0.loss_iou: 1.1902, d1.loss_cls: 1.9982, d1.loss_bbox: 0.7882, d1.loss_iou: 1.1679, d2.loss_cls: 1.9648, d2.loss_bbox: 0.7709, d2.loss_iou: 1.1462, d3.loss_cls: 1.9461, d3.loss_bbox: 0.7615, d3.loss_iou: 1.1360, d4.loss_cls: 1.9316, d4.loss_bbox: 0.7550, d4.loss_iou: 1.1294, loss: 23.3253, grad_norm: 16.1795 +2022-10-26 21:52:31,392 - mmdet - INFO - Epoch [32][500/1849] lr: 2.000e-04, eta: 1:19:18, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9294, loss_bbox: 0.7511, loss_iou: 1.1251, d0.loss_cls: 2.0362, d0.loss_bbox: 0.8034, d0.loss_iou: 1.1899, d1.loss_cls: 2.0004, d1.loss_bbox: 0.7847, d1.loss_iou: 1.1663, d2.loss_cls: 1.9704, d2.loss_bbox: 0.7689, d2.loss_iou: 1.1444, d3.loss_cls: 1.9515, d3.loss_bbox: 0.7585, d3.loss_iou: 1.1341, d4.loss_cls: 1.9371, d4.loss_bbox: 0.7529, d4.loss_iou: 1.1279, loss: 23.3323, grad_norm: 15.3587 +2022-10-26 21:52:38,340 - mmdet - INFO - Epoch [32][550/1849] lr: 2.000e-04, eta: 1:19:11, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9426, loss_bbox: 0.7487, loss_iou: 1.1256, d0.loss_cls: 2.0483, d0.loss_bbox: 0.8030, d0.loss_iou: 1.1903, d1.loss_cls: 2.0133, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1673, d2.loss_cls: 1.9837, d2.loss_bbox: 0.7676, d2.loss_iou: 1.1445, d3.loss_cls: 1.9638, d3.loss_bbox: 0.7579, d3.loss_iou: 1.1342, d4.loss_cls: 1.9492, d4.loss_bbox: 0.7512, d4.loss_iou: 1.1280, loss: 23.4038, grad_norm: 15.7111 +2022-10-26 21:52:45,183 - mmdet - INFO - Epoch [32][600/1849] lr: 2.000e-04, eta: 1:19:04, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9203, loss_bbox: 0.7459, loss_iou: 1.1190, d0.loss_cls: 2.0312, d0.loss_bbox: 0.8011, d0.loss_iou: 1.1856, d1.loss_cls: 1.9975, d1.loss_bbox: 0.7805, d1.loss_iou: 1.1603, d2.loss_cls: 1.9636, d2.loss_bbox: 0.7636, d2.loss_iou: 1.1384, d3.loss_cls: 1.9407, d3.loss_bbox: 0.7539, d3.loss_iou: 1.1285, d4.loss_cls: 1.9296, d4.loss_bbox: 0.7481, d4.loss_iou: 1.1216, loss: 23.2294, grad_norm: 15.7338 +2022-10-26 21:52:52,088 - mmdet - INFO - Epoch [32][650/1849] lr: 2.000e-04, eta: 1:18:57, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9220, loss_bbox: 0.7534, loss_iou: 1.1220, d0.loss_cls: 2.0296, d0.loss_bbox: 0.8075, d0.loss_iou: 1.1878, d1.loss_cls: 1.9991, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1651, d2.loss_cls: 1.9650, d2.loss_bbox: 0.7712, d2.loss_iou: 1.1429, d3.loss_cls: 1.9456, d3.loss_bbox: 0.7618, d3.loss_iou: 1.1323, d4.loss_cls: 1.9310, d4.loss_bbox: 0.7557, d4.loss_iou: 1.1245, loss: 23.3043, grad_norm: 16.4088 +2022-10-26 21:52:59,111 - mmdet - INFO - Epoch [32][700/1849] lr: 2.000e-04, eta: 1:18:50, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9218, loss_bbox: 0.7447, loss_iou: 1.1190, d0.loss_cls: 2.0303, d0.loss_bbox: 0.7982, d0.loss_iou: 1.1849, d1.loss_cls: 1.9969, d1.loss_bbox: 0.7796, d1.loss_iou: 1.1598, d2.loss_cls: 1.9649, d2.loss_bbox: 0.7634, d2.loss_iou: 1.1385, d3.loss_cls: 1.9445, d3.loss_bbox: 0.7528, d3.loss_iou: 1.1281, d4.loss_cls: 1.9298, d4.loss_bbox: 0.7469, d4.loss_iou: 1.1219, loss: 23.2260, grad_norm: 15.4591 +2022-10-26 21:53:06,270 - mmdet - INFO - Epoch [32][750/1849] lr: 2.000e-04, eta: 1:18:44, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9270, loss_bbox: 0.7461, loss_iou: 1.1191, d0.loss_cls: 2.0356, d0.loss_bbox: 0.7997, d0.loss_iou: 1.1857, d1.loss_cls: 2.0022, d1.loss_bbox: 0.7809, d1.loss_iou: 1.1619, d2.loss_cls: 1.9683, d2.loss_bbox: 0.7643, d2.loss_iou: 1.1388, d3.loss_cls: 1.9502, d3.loss_bbox: 0.7540, d3.loss_iou: 1.1284, d4.loss_cls: 1.9353, d4.loss_bbox: 0.7484, d4.loss_iou: 1.1216, loss: 23.2676, grad_norm: 15.0012 +2022-10-26 21:53:13,266 - mmdet - INFO - Epoch [32][800/1849] lr: 2.000e-04, eta: 1:18:37, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9342, loss_bbox: 0.7515, loss_iou: 1.1283, d0.loss_cls: 2.0443, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1913, d1.loss_cls: 2.0084, d1.loss_bbox: 0.7849, d1.loss_iou: 1.1688, d2.loss_cls: 1.9765, d2.loss_bbox: 0.7694, d2.loss_iou: 1.1480, d3.loss_cls: 1.9582, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1374, d4.loss_cls: 1.9435, d4.loss_bbox: 0.7534, d4.loss_iou: 1.1305, loss: 23.3918, grad_norm: 13.9831 +2022-10-26 21:53:20,106 - mmdet - INFO - Epoch [32][850/1849] lr: 2.000e-04, eta: 1:18:30, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9178, loss_bbox: 0.7522, loss_iou: 1.1249, d0.loss_cls: 2.0227, d0.loss_bbox: 0.8049, d0.loss_iou: 1.1904, d1.loss_cls: 1.9880, d1.loss_bbox: 0.7859, d1.loss_iou: 1.1664, d2.loss_cls: 1.9600, d2.loss_bbox: 0.7706, d2.loss_iou: 1.1449, d3.loss_cls: 1.9413, d3.loss_bbox: 0.7608, d3.loss_iou: 1.1348, d4.loss_cls: 1.9258, d4.loss_bbox: 0.7551, d4.loss_iou: 1.1275, loss: 23.2742, grad_norm: 15.7172 +2022-10-26 21:53:27,121 - mmdet - INFO - Epoch [32][900/1849] lr: 2.000e-04, eta: 1:18:23, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9357, loss_bbox: 0.7485, loss_iou: 1.1144, d0.loss_cls: 2.0468, d0.loss_bbox: 0.8024, d0.loss_iou: 1.1819, d1.loss_cls: 2.0148, d1.loss_bbox: 0.7837, d1.loss_iou: 1.1568, d2.loss_cls: 1.9794, d2.loss_bbox: 0.7660, d2.loss_iou: 1.1346, d3.loss_cls: 1.9608, d3.loss_bbox: 0.7566, d3.loss_iou: 1.1245, d4.loss_cls: 1.9448, d4.loss_bbox: 0.7510, d4.loss_iou: 1.1173, loss: 23.3200, grad_norm: 15.0240 +2022-10-26 21:53:34,225 - mmdet - INFO - Epoch [32][950/1849] lr: 2.000e-04, eta: 1:18:17, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9381, loss_bbox: 0.7479, loss_iou: 1.1192, d0.loss_cls: 2.0437, d0.loss_bbox: 0.8023, d0.loss_iou: 1.1848, d1.loss_cls: 2.0104, d1.loss_bbox: 0.7819, d1.loss_iou: 1.1607, d2.loss_cls: 1.9765, d2.loss_bbox: 0.7664, d2.loss_iou: 1.1388, d3.loss_cls: 1.9588, d3.loss_bbox: 0.7568, d3.loss_iou: 1.1278, d4.loss_cls: 1.9463, d4.loss_bbox: 0.7505, d4.loss_iou: 1.1215, loss: 23.3325, grad_norm: 15.6146 +2022-10-26 21:53:41,141 - mmdet - INFO - Epoch [32][1000/1849] lr: 2.000e-04, eta: 1:18:10, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9302, loss_bbox: 0.7519, loss_iou: 1.1231, d0.loss_cls: 2.0379, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1885, d1.loss_cls: 2.0057, d1.loss_bbox: 0.7867, d1.loss_iou: 1.1649, d2.loss_cls: 1.9743, d2.loss_bbox: 0.7701, d2.loss_iou: 1.1431, d3.loss_cls: 1.9528, d3.loss_bbox: 0.7600, d3.loss_iou: 1.1331, d4.loss_cls: 1.9397, d4.loss_bbox: 0.7534, d4.loss_iou: 1.1262, loss: 23.3463, grad_norm: 14.5560 +2022-10-26 21:53:47,974 - mmdet - INFO - Epoch [32][1050/1849] lr: 2.000e-04, eta: 1:18:03, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9474, loss_bbox: 0.7549, loss_iou: 1.1266, d0.loss_cls: 2.0524, d0.loss_bbox: 0.8067, d0.loss_iou: 1.1930, d1.loss_cls: 2.0205, d1.loss_bbox: 0.7890, d1.loss_iou: 1.1690, d2.loss_cls: 1.9889, d2.loss_bbox: 0.7728, d2.loss_iou: 1.1469, d3.loss_cls: 1.9693, d3.loss_bbox: 0.7631, d3.loss_iou: 1.1358, d4.loss_cls: 1.9552, d4.loss_bbox: 0.7569, d4.loss_iou: 1.1295, loss: 23.4781, grad_norm: 14.3190 +2022-10-26 21:53:54,975 - mmdet - INFO - Epoch [32][1100/1849] lr: 2.000e-04, eta: 1:17:56, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9257, loss_bbox: 0.7499, loss_iou: 1.1202, d0.loss_cls: 2.0326, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1857, d1.loss_cls: 2.0034, d1.loss_bbox: 0.7839, d1.loss_iou: 1.1619, d2.loss_cls: 1.9695, d2.loss_bbox: 0.7674, d2.loss_iou: 1.1406, d3.loss_cls: 1.9491, d3.loss_bbox: 0.7578, d3.loss_iou: 1.1300, d4.loss_cls: 1.9336, d4.loss_bbox: 0.7511, d4.loss_iou: 1.1230, loss: 23.2898, grad_norm: 15.2685 +2022-10-26 21:54:01,977 - mmdet - INFO - Epoch [32][1150/1849] lr: 2.000e-04, eta: 1:17:49, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9346, loss_bbox: 0.7476, loss_iou: 1.1173, d0.loss_cls: 2.0459, d0.loss_bbox: 0.8015, d0.loss_iou: 1.1826, d1.loss_cls: 2.0091, d1.loss_bbox: 0.7809, d1.loss_iou: 1.1605, d2.loss_cls: 1.9793, d2.loss_bbox: 0.7649, d2.loss_iou: 1.1370, d3.loss_cls: 1.9560, d3.loss_bbox: 0.7550, d3.loss_iou: 1.1269, d4.loss_cls: 1.9414, d4.loss_bbox: 0.7493, d4.loss_iou: 1.1196, loss: 23.3097, grad_norm: 14.2986 +2022-10-26 21:54:08,862 - mmdet - INFO - Epoch [32][1200/1849] lr: 2.000e-04, eta: 1:17:42, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9232, loss_bbox: 0.7517, loss_iou: 1.1191, d0.loss_cls: 2.0335, d0.loss_bbox: 0.8062, d0.loss_iou: 1.1847, d1.loss_cls: 1.9975, d1.loss_bbox: 0.7861, d1.loss_iou: 1.1594, d2.loss_cls: 1.9655, d2.loss_bbox: 0.7708, d2.loss_iou: 1.1385, d3.loss_cls: 1.9449, d3.loss_bbox: 0.7605, d3.loss_iou: 1.1277, d4.loss_cls: 1.9313, d4.loss_bbox: 0.7538, d4.loss_iou: 1.1214, loss: 23.2757, grad_norm: 15.5820 +2022-10-26 21:54:15,858 - mmdet - INFO - Epoch [32][1250/1849] lr: 2.000e-04, eta: 1:17:36, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9307, loss_bbox: 0.7509, loss_iou: 1.1253, d0.loss_cls: 2.0375, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1919, d1.loss_cls: 2.0065, d1.loss_bbox: 0.7859, d1.loss_iou: 1.1682, d2.loss_cls: 1.9720, d2.loss_bbox: 0.7693, d2.loss_iou: 1.1475, d3.loss_cls: 1.9514, d3.loss_bbox: 0.7585, d3.loss_iou: 1.1356, d4.loss_cls: 1.9374, d4.loss_bbox: 0.7529, d4.loss_iou: 1.1282, loss: 23.3536, grad_norm: 14.6114 +2022-10-26 21:54:23,022 - mmdet - INFO - Epoch [32][1300/1849] lr: 2.000e-04, eta: 1:17:29, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9322, loss_bbox: 0.7477, loss_iou: 1.1194, d0.loss_cls: 2.0411, d0.loss_bbox: 0.8023, d0.loss_iou: 1.1847, d1.loss_cls: 2.0069, d1.loss_bbox: 0.7829, d1.loss_iou: 1.1617, d2.loss_cls: 1.9746, d2.loss_bbox: 0.7667, d2.loss_iou: 1.1387, d3.loss_cls: 1.9540, d3.loss_bbox: 0.7557, d3.loss_iou: 1.1291, d4.loss_cls: 1.9394, d4.loss_bbox: 0.7501, d4.loss_iou: 1.1218, loss: 23.3088, grad_norm: 15.8348 +2022-10-26 21:54:30,144 - mmdet - INFO - Epoch [32][1350/1849] lr: 2.000e-04, eta: 1:17:22, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9355, loss_bbox: 0.7488, loss_iou: 1.1220, d0.loss_cls: 2.0462, d0.loss_bbox: 0.8008, d0.loss_iou: 1.1883, d1.loss_cls: 2.0092, d1.loss_bbox: 0.7827, d1.loss_iou: 1.1645, d2.loss_cls: 1.9802, d2.loss_bbox: 0.7671, d2.loss_iou: 1.1425, d3.loss_cls: 1.9586, d3.loss_bbox: 0.7567, d3.loss_iou: 1.1311, d4.loss_cls: 1.9429, d4.loss_bbox: 0.7504, d4.loss_iou: 1.1248, loss: 23.3525, grad_norm: 16.5254 +2022-10-26 21:54:37,118 - mmdet - INFO - Epoch [32][1400/1849] lr: 2.000e-04, eta: 1:17:15, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9237, loss_bbox: 0.7536, loss_iou: 1.1254, d0.loss_cls: 2.0277, d0.loss_bbox: 0.8079, d0.loss_iou: 1.1906, d1.loss_cls: 1.9959, d1.loss_bbox: 0.7876, d1.loss_iou: 1.1653, d2.loss_cls: 1.9665, d2.loss_bbox: 0.7713, d2.loss_iou: 1.1445, d3.loss_cls: 1.9479, d3.loss_bbox: 0.7614, d3.loss_iou: 1.1339, d4.loss_cls: 1.9338, d4.loss_bbox: 0.7561, d4.loss_iou: 1.1275, loss: 23.3207, grad_norm: 14.0696 +2022-10-26 21:54:44,189 - mmdet - INFO - Epoch [32][1450/1849] lr: 2.000e-04, eta: 1:17:09, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9260, loss_bbox: 0.7491, loss_iou: 1.1216, d0.loss_cls: 2.0332, d0.loss_bbox: 0.8007, d0.loss_iou: 1.1866, d1.loss_cls: 1.9980, d1.loss_bbox: 0.7829, d1.loss_iou: 1.1637, d2.loss_cls: 1.9660, d2.loss_bbox: 0.7670, d2.loss_iou: 1.1421, d3.loss_cls: 1.9463, d3.loss_bbox: 0.7576, d3.loss_iou: 1.1315, d4.loss_cls: 1.9357, d4.loss_bbox: 0.7511, d4.loss_iou: 1.1246, loss: 23.2837, grad_norm: 16.0808 +2022-10-26 21:54:51,301 - mmdet - INFO - Epoch [32][1500/1849] lr: 2.000e-04, eta: 1:17:02, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9307, loss_bbox: 0.7451, loss_iou: 1.1174, d0.loss_cls: 2.0382, d0.loss_bbox: 0.7996, d0.loss_iou: 1.1839, d1.loss_cls: 2.0040, d1.loss_bbox: 0.7791, d1.loss_iou: 1.1593, d2.loss_cls: 1.9726, d2.loss_bbox: 0.7638, d2.loss_iou: 1.1375, d3.loss_cls: 1.9522, d3.loss_bbox: 0.7534, d3.loss_iou: 1.1263, d4.loss_cls: 1.9399, d4.loss_bbox: 0.7475, d4.loss_iou: 1.1200, loss: 23.2705, grad_norm: 15.9880 +2022-10-26 21:54:58,333 - mmdet - INFO - Epoch [32][1550/1849] lr: 2.000e-04, eta: 1:16:55, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9302, loss_bbox: 0.7515, loss_iou: 1.1241, d0.loss_cls: 2.0309, d0.loss_bbox: 0.8036, d0.loss_iou: 1.1901, d1.loss_cls: 2.0002, d1.loss_bbox: 0.7844, d1.loss_iou: 1.1663, d2.loss_cls: 1.9677, d2.loss_bbox: 0.7684, d2.loss_iou: 1.1441, d3.loss_cls: 1.9514, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1340, d4.loss_cls: 1.9355, d4.loss_bbox: 0.7536, d4.loss_iou: 1.1271, loss: 23.3221, grad_norm: 15.5122 +2022-10-26 21:55:05,380 - mmdet - INFO - Epoch [32][1600/1849] lr: 2.000e-04, eta: 1:16:48, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9364, loss_bbox: 0.7501, loss_iou: 1.1204, d0.loss_cls: 2.0453, d0.loss_bbox: 0.8029, d0.loss_iou: 1.1862, d1.loss_cls: 2.0079, d1.loss_bbox: 0.7846, d1.loss_iou: 1.1632, d2.loss_cls: 1.9792, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1412, d3.loss_cls: 1.9584, d3.loss_bbox: 0.7584, d3.loss_iou: 1.1300, d4.loss_cls: 1.9434, d4.loss_bbox: 0.7517, d4.loss_iou: 1.1234, loss: 23.3517, grad_norm: 14.2598 +2022-10-26 21:55:12,457 - mmdet - INFO - Epoch [32][1650/1849] lr: 2.000e-04, eta: 1:16:42, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9142, loss_bbox: 0.7494, loss_iou: 1.1231, d0.loss_cls: 2.0244, d0.loss_bbox: 0.8037, d0.loss_iou: 1.1889, d1.loss_cls: 1.9857, d1.loss_bbox: 0.7831, d1.loss_iou: 1.1642, d2.loss_cls: 1.9565, d2.loss_bbox: 0.7680, d2.loss_iou: 1.1434, d3.loss_cls: 1.9357, d3.loss_bbox: 0.7574, d3.loss_iou: 1.1320, d4.loss_cls: 1.9214, d4.loss_bbox: 0.7515, d4.loss_iou: 1.1253, loss: 23.2278, grad_norm: 16.0555 +2022-10-26 21:55:19,532 - mmdet - INFO - Epoch [32][1700/1849] lr: 2.000e-04, eta: 1:16:35, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9469, loss_bbox: 0.7487, loss_iou: 1.1229, d0.loss_cls: 2.0524, d0.loss_bbox: 0.8021, d0.loss_iou: 1.1887, d1.loss_cls: 2.0175, d1.loss_bbox: 0.7839, d1.loss_iou: 1.1641, d2.loss_cls: 1.9891, d2.loss_bbox: 0.7671, d2.loss_iou: 1.1417, d3.loss_cls: 1.9694, d3.loss_bbox: 0.7576, d3.loss_iou: 1.1313, d4.loss_cls: 1.9540, d4.loss_bbox: 0.7512, d4.loss_iou: 1.1251, loss: 23.4139, grad_norm: 14.8224 +2022-10-26 21:55:26,601 - mmdet - INFO - Epoch [32][1750/1849] lr: 2.000e-04, eta: 1:16:28, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9347, loss_bbox: 0.7513, loss_iou: 1.1249, d0.loss_cls: 2.0443, d0.loss_bbox: 0.8031, d0.loss_iou: 1.1897, d1.loss_cls: 2.0099, d1.loss_bbox: 0.7862, d1.loss_iou: 1.1675, d2.loss_cls: 1.9788, d2.loss_bbox: 0.7695, d2.loss_iou: 1.1445, d3.loss_cls: 1.9583, d3.loss_bbox: 0.7594, d3.loss_iou: 1.1347, d4.loss_cls: 1.9452, d4.loss_bbox: 0.7536, d4.loss_iou: 1.1272, loss: 23.3828, grad_norm: 16.5457 +2022-10-26 21:55:33,679 - mmdet - INFO - Epoch [32][1800/1849] lr: 2.000e-04, eta: 1:16:21, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9357, loss_bbox: 0.7507, loss_iou: 1.1248, d0.loss_cls: 2.0447, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1903, d1.loss_cls: 2.0101, d1.loss_bbox: 0.7854, d1.loss_iou: 1.1674, d2.loss_cls: 1.9780, d2.loss_bbox: 0.7685, d2.loss_iou: 1.1451, d3.loss_cls: 1.9589, d3.loss_bbox: 0.7593, d3.loss_iou: 1.1336, d4.loss_cls: 1.9443, d4.loss_bbox: 0.7527, d4.loss_iou: 1.1271, loss: 23.3804, grad_norm: 16.2002 +2022-10-26 21:55:40,622 - mmdet - INFO - Saving checkpoint at 32 epochs +2022-10-26 21:55:56,838 - mmdet - INFO - Epoch [33][50/1849] lr: 2.000e-04, eta: 1:16:09, time: 0.310, data_time: 0.066, memory: 4401, loss_cls: 1.9192, loss_bbox: 0.7453, loss_iou: 1.1201, d0.loss_cls: 2.0312, d0.loss_bbox: 0.7996, d0.loss_iou: 1.1861, d1.loss_cls: 1.9948, d1.loss_bbox: 0.7805, d1.loss_iou: 1.1625, d2.loss_cls: 1.9652, d2.loss_bbox: 0.7637, d2.loss_iou: 1.1402, d3.loss_cls: 1.9422, d3.loss_bbox: 0.7531, d3.loss_iou: 1.1303, d4.loss_cls: 1.9284, d4.loss_bbox: 0.7474, d4.loss_iou: 1.1232, loss: 23.2331, grad_norm: 14.8222 +2022-10-26 21:56:04,165 - mmdet - INFO - Epoch [33][100/1849] lr: 2.000e-04, eta: 1:16:02, time: 0.147, data_time: 0.006, memory: 4401, loss_cls: 1.9239, loss_bbox: 0.7501, loss_iou: 1.1200, d0.loss_cls: 2.0330, d0.loss_bbox: 0.8053, d0.loss_iou: 1.1862, d1.loss_cls: 2.0006, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1624, d2.loss_cls: 1.9674, d2.loss_bbox: 0.7682, d2.loss_iou: 1.1402, d3.loss_cls: 1.9475, d3.loss_bbox: 0.7585, d3.loss_iou: 1.1294, d4.loss_cls: 1.9322, d4.loss_bbox: 0.7526, d4.loss_iou: 1.1221, loss: 23.2837, grad_norm: 16.1001 +2022-10-26 21:56:11,342 - mmdet - INFO - Epoch [33][150/1849] lr: 2.000e-04, eta: 1:15:55, time: 0.144, data_time: 0.006, memory: 4401, loss_cls: 1.9189, loss_bbox: 0.7492, loss_iou: 1.1204, d0.loss_cls: 2.0312, d0.loss_bbox: 0.8062, d0.loss_iou: 1.1870, d1.loss_cls: 1.9963, d1.loss_bbox: 0.7849, d1.loss_iou: 1.1612, d2.loss_cls: 1.9647, d2.loss_bbox: 0.7680, d2.loss_iou: 1.1395, d3.loss_cls: 1.9442, d3.loss_bbox: 0.7571, d3.loss_iou: 1.1292, d4.loss_cls: 1.9283, d4.loss_bbox: 0.7522, d4.loss_iou: 1.1228, loss: 23.2614, grad_norm: 14.6658 +2022-10-26 21:56:18,714 - mmdet - INFO - Epoch [33][200/1849] lr: 2.000e-04, eta: 1:15:49, time: 0.147, data_time: 0.006, memory: 4401, loss_cls: 1.9216, loss_bbox: 0.7531, loss_iou: 1.1237, d0.loss_cls: 2.0280, d0.loss_bbox: 0.8061, d0.loss_iou: 1.1906, d1.loss_cls: 1.9934, d1.loss_bbox: 0.7869, d1.loss_iou: 1.1658, d2.loss_cls: 1.9610, d2.loss_bbox: 0.7703, d2.loss_iou: 1.1446, d3.loss_cls: 1.9428, d3.loss_bbox: 0.7606, d3.loss_iou: 1.1332, d4.loss_cls: 1.9290, d4.loss_bbox: 0.7552, d4.loss_iou: 1.1261, loss: 23.2921, grad_norm: 15.9680 +2022-10-26 21:56:25,851 - mmdet - INFO - Epoch [33][250/1849] lr: 2.000e-04, eta: 1:15:42, time: 0.143, data_time: 0.006, memory: 4401, loss_cls: 1.9366, loss_bbox: 0.7504, loss_iou: 1.1234, d0.loss_cls: 2.0447, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1879, d1.loss_cls: 2.0103, d1.loss_bbox: 0.7850, d1.loss_iou: 1.1644, d2.loss_cls: 1.9774, d2.loss_bbox: 0.7680, d2.loss_iou: 1.1422, d3.loss_cls: 1.9599, d3.loss_bbox: 0.7584, d3.loss_iou: 1.1322, d4.loss_cls: 1.9449, d4.loss_bbox: 0.7524, d4.loss_iou: 1.1256, loss: 23.3674, grad_norm: 14.7410 +2022-10-26 21:56:32,882 - mmdet - INFO - Epoch [33][300/1849] lr: 2.000e-04, eta: 1:15:35, time: 0.141, data_time: 0.006, memory: 4401, loss_cls: 1.9206, loss_bbox: 0.7431, loss_iou: 1.1187, d0.loss_cls: 2.0308, d0.loss_bbox: 0.7980, d0.loss_iou: 1.1840, d1.loss_cls: 1.9937, d1.loss_bbox: 0.7795, d1.loss_iou: 1.1612, d2.loss_cls: 1.9652, d2.loss_bbox: 0.7621, d2.loss_iou: 1.1390, d3.loss_cls: 1.9431, d3.loss_bbox: 0.7517, d3.loss_iou: 1.1281, d4.loss_cls: 1.9285, d4.loss_bbox: 0.7449, d4.loss_iou: 1.1207, loss: 23.2131, grad_norm: 17.1999 +2022-10-26 21:56:39,966 - mmdet - INFO - Epoch [33][350/1849] lr: 2.000e-04, eta: 1:15:28, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9261, loss_bbox: 0.7477, loss_iou: 1.1196, d0.loss_cls: 2.0339, d0.loss_bbox: 0.8006, d0.loss_iou: 1.1859, d1.loss_cls: 2.0003, d1.loss_bbox: 0.7822, d1.loss_iou: 1.1612, d2.loss_cls: 1.9665, d2.loss_bbox: 0.7656, d2.loss_iou: 1.1390, d3.loss_cls: 1.9452, d3.loss_bbox: 0.7559, d3.loss_iou: 1.1283, d4.loss_cls: 1.9339, d4.loss_bbox: 0.7493, d4.loss_iou: 1.1222, loss: 23.2635, grad_norm: 15.7688 +2022-10-26 21:56:46,930 - mmdet - INFO - Epoch [33][400/1849] lr: 2.000e-04, eta: 1:15:22, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9062, loss_bbox: 0.7400, loss_iou: 1.1146, d0.loss_cls: 2.0172, d0.loss_bbox: 0.7954, d0.loss_iou: 1.1822, d1.loss_cls: 1.9818, d1.loss_bbox: 0.7747, d1.loss_iou: 1.1573, d2.loss_cls: 1.9480, d2.loss_bbox: 0.7583, d2.loss_iou: 1.1355, d3.loss_cls: 1.9274, d3.loss_bbox: 0.7475, d3.loss_iou: 1.1241, d4.loss_cls: 1.9130, d4.loss_bbox: 0.7423, d4.loss_iou: 1.1176, loss: 23.0830, grad_norm: 16.2418 +2022-10-26 21:56:53,942 - mmdet - INFO - Epoch [33][450/1849] lr: 2.000e-04, eta: 1:15:15, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9346, loss_bbox: 0.7497, loss_iou: 1.1178, d0.loss_cls: 2.0447, d0.loss_bbox: 0.8027, d0.loss_iou: 1.1843, d1.loss_cls: 2.0098, d1.loss_bbox: 0.7830, d1.loss_iou: 1.1612, d2.loss_cls: 1.9778, d2.loss_bbox: 0.7674, d2.loss_iou: 1.1379, d3.loss_cls: 1.9577, d3.loss_bbox: 0.7581, d3.loss_iou: 1.1277, d4.loss_cls: 1.9425, d4.loss_bbox: 0.7522, d4.loss_iou: 1.1209, loss: 23.3300, grad_norm: 15.3772 +2022-10-26 21:57:01,073 - mmdet - INFO - Epoch [33][500/1849] lr: 2.000e-04, eta: 1:15:08, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9262, loss_bbox: 0.7490, loss_iou: 1.1240, d0.loss_cls: 2.0357, d0.loss_bbox: 0.8040, d0.loss_iou: 1.1902, d1.loss_cls: 2.0034, d1.loss_bbox: 0.7832, d1.loss_iou: 1.1652, d2.loss_cls: 1.9717, d2.loss_bbox: 0.7676, d2.loss_iou: 1.1442, d3.loss_cls: 1.9493, d3.loss_bbox: 0.7576, d3.loss_iou: 1.1337, d4.loss_cls: 1.9342, d4.loss_bbox: 0.7514, d4.loss_iou: 1.1271, loss: 23.3178, grad_norm: 15.4334 +2022-10-26 21:57:08,206 - mmdet - INFO - Epoch [33][550/1849] lr: 2.000e-04, eta: 1:15:01, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9290, loss_bbox: 0.7461, loss_iou: 1.1171, d0.loss_cls: 2.0403, d0.loss_bbox: 0.8015, d0.loss_iou: 1.1839, d1.loss_cls: 2.0049, d1.loss_bbox: 0.7808, d1.loss_iou: 1.1595, d2.loss_cls: 1.9734, d2.loss_bbox: 0.7639, d2.loss_iou: 1.1369, d3.loss_cls: 1.9511, d3.loss_bbox: 0.7544, d3.loss_iou: 1.1262, d4.loss_cls: 1.9381, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1196, loss: 23.2753, grad_norm: 15.2550 +2022-10-26 21:57:15,139 - mmdet - INFO - Epoch [33][600/1849] lr: 2.000e-04, eta: 1:14:55, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9227, loss_bbox: 0.7485, loss_iou: 1.1246, d0.loss_cls: 2.0305, d0.loss_bbox: 0.8009, d0.loss_iou: 1.1888, d1.loss_cls: 1.9987, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1644, d2.loss_cls: 1.9636, d2.loss_bbox: 0.7657, d2.loss_iou: 1.1430, d3.loss_cls: 1.9432, d3.loss_bbox: 0.7563, d3.loss_iou: 1.1325, d4.loss_cls: 1.9303, d4.loss_bbox: 0.7504, d4.loss_iou: 1.1270, loss: 23.2737, grad_norm: 14.8133 +2022-10-26 21:57:22,043 - mmdet - INFO - Epoch [33][650/1849] lr: 2.000e-04, eta: 1:14:48, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9320, loss_bbox: 0.7575, loss_iou: 1.1251, d0.loss_cls: 2.0385, d0.loss_bbox: 0.8129, d0.loss_iou: 1.1896, d1.loss_cls: 2.0054, d1.loss_bbox: 0.7911, d1.loss_iou: 1.1654, d2.loss_cls: 1.9720, d2.loss_bbox: 0.7751, d2.loss_iou: 1.1449, d3.loss_cls: 1.9541, d3.loss_bbox: 0.7653, d3.loss_iou: 1.1341, d4.loss_cls: 1.9395, d4.loss_bbox: 0.7593, d4.loss_iou: 1.1278, loss: 23.3897, grad_norm: 15.6458 +2022-10-26 21:57:29,315 - mmdet - INFO - Epoch [33][700/1849] lr: 2.000e-04, eta: 1:14:41, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9130, loss_bbox: 0.7482, loss_iou: 1.1242, d0.loss_cls: 2.0243, d0.loss_bbox: 0.8025, d0.loss_iou: 1.1890, d1.loss_cls: 1.9856, d1.loss_bbox: 0.7846, d1.loss_iou: 1.1666, d2.loss_cls: 1.9549, d2.loss_bbox: 0.7673, d2.loss_iou: 1.1439, d3.loss_cls: 1.9349, d3.loss_bbox: 0.7566, d3.loss_iou: 1.1337, d4.loss_cls: 1.9215, d4.loss_bbox: 0.7503, d4.loss_iou: 1.1266, loss: 23.2277, grad_norm: 15.7980 +2022-10-26 21:57:36,426 - mmdet - INFO - Epoch [33][750/1849] lr: 2.000e-04, eta: 1:14:34, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9255, loss_bbox: 0.7474, loss_iou: 1.1193, d0.loss_cls: 2.0248, d0.loss_bbox: 0.8017, d0.loss_iou: 1.1862, d1.loss_cls: 2.0011, d1.loss_bbox: 0.7813, d1.loss_iou: 1.1608, d2.loss_cls: 1.9657, d2.loss_bbox: 0.7643, d2.loss_iou: 1.1394, d3.loss_cls: 1.9465, d3.loss_bbox: 0.7547, d3.loss_iou: 1.1288, d4.loss_cls: 1.9324, d4.loss_bbox: 0.7491, d4.loss_iou: 1.1222, loss: 23.2514, grad_norm: 15.6298 +2022-10-26 21:57:43,674 - mmdet - INFO - Epoch [33][800/1849] lr: 2.000e-04, eta: 1:14:28, time: 0.145, data_time: 0.004, memory: 4401, loss_cls: 1.9414, loss_bbox: 0.7465, loss_iou: 1.1218, d0.loss_cls: 2.0468, d0.loss_bbox: 0.7999, d0.loss_iou: 1.1867, d1.loss_cls: 2.0168, d1.loss_bbox: 0.7808, d1.loss_iou: 1.1629, d2.loss_cls: 1.9823, d2.loss_bbox: 0.7646, d2.loss_iou: 1.1417, d3.loss_cls: 1.9611, d3.loss_bbox: 0.7539, d3.loss_iou: 1.1315, d4.loss_cls: 1.9477, d4.loss_bbox: 0.7487, d4.loss_iou: 1.1243, loss: 23.3592, grad_norm: 15.2880 +2022-10-26 21:57:50,620 - mmdet - INFO - Epoch [33][850/1849] lr: 2.000e-04, eta: 1:14:21, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9233, loss_bbox: 0.7437, loss_iou: 1.1152, d0.loss_cls: 2.0309, d0.loss_bbox: 0.7988, d0.loss_iou: 1.1821, d1.loss_cls: 1.9997, d1.loss_bbox: 0.7781, d1.loss_iou: 1.1577, d2.loss_cls: 1.9663, d2.loss_bbox: 0.7612, d2.loss_iou: 1.1360, d3.loss_cls: 1.9473, d3.loss_bbox: 0.7512, d3.loss_iou: 1.1243, d4.loss_cls: 1.9323, d4.loss_bbox: 0.7453, d4.loss_iou: 1.1182, loss: 23.2116, grad_norm: 15.0883 +2022-10-26 21:57:57,680 - mmdet - INFO - Epoch [33][900/1849] lr: 2.000e-04, eta: 1:14:14, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9123, loss_bbox: 0.7493, loss_iou: 1.1177, d0.loss_cls: 2.0173, d0.loss_bbox: 0.8041, d0.loss_iou: 1.1848, d1.loss_cls: 1.9822, d1.loss_bbox: 0.7846, d1.loss_iou: 1.1607, d2.loss_cls: 1.9527, d2.loss_bbox: 0.7673, d2.loss_iou: 1.1380, d3.loss_cls: 1.9336, d3.loss_bbox: 0.7570, d3.loss_iou: 1.1270, d4.loss_cls: 1.9205, d4.loss_bbox: 0.7514, d4.loss_iou: 1.1200, loss: 23.1805, grad_norm: 13.6187 +2022-10-26 21:58:04,760 - mmdet - INFO - Epoch [33][950/1849] lr: 2.000e-04, eta: 1:14:07, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9185, loss_bbox: 0.7476, loss_iou: 1.1207, d0.loss_cls: 2.0251, d0.loss_bbox: 0.8019, d0.loss_iou: 1.1862, d1.loss_cls: 1.9928, d1.loss_bbox: 0.7834, d1.loss_iou: 1.1635, d2.loss_cls: 1.9615, d2.loss_bbox: 0.7667, d2.loss_iou: 1.1408, d3.loss_cls: 1.9412, d3.loss_bbox: 0.7565, d3.loss_iou: 1.1297, d4.loss_cls: 1.9261, d4.loss_bbox: 0.7495, d4.loss_iou: 1.1235, loss: 23.2350, grad_norm: 16.4248 +2022-10-26 21:58:11,945 - mmdet - INFO - Epoch [33][1000/1849] lr: 2.000e-04, eta: 1:14:00, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9296, loss_bbox: 0.7475, loss_iou: 1.1175, d0.loss_cls: 2.0388, d0.loss_bbox: 0.8020, d0.loss_iou: 1.1829, d1.loss_cls: 2.0075, d1.loss_bbox: 0.7828, d1.loss_iou: 1.1594, d2.loss_cls: 1.9735, d2.loss_bbox: 0.7663, d2.loss_iou: 1.1369, d3.loss_cls: 1.9524, d3.loss_bbox: 0.7560, d3.loss_iou: 1.1269, d4.loss_cls: 1.9373, d4.loss_bbox: 0.7500, d4.loss_iou: 1.1200, loss: 23.2874, grad_norm: 15.8094 +2022-10-26 21:58:18,921 - mmdet - INFO - Epoch [33][1050/1849] lr: 2.000e-04, eta: 1:13:54, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9171, loss_bbox: 0.7477, loss_iou: 1.1187, d0.loss_cls: 2.0221, d0.loss_bbox: 0.8023, d0.loss_iou: 1.1852, d1.loss_cls: 1.9876, d1.loss_bbox: 0.7819, d1.loss_iou: 1.1619, d2.loss_cls: 1.9572, d2.loss_bbox: 0.7663, d2.loss_iou: 1.1393, d3.loss_cls: 1.9362, d3.loss_bbox: 0.7563, d3.loss_iou: 1.1287, d4.loss_cls: 1.9233, d4.loss_bbox: 0.7498, d4.loss_iou: 1.1214, loss: 23.2030, grad_norm: 13.9435 +2022-10-26 21:58:31,151 - mmdet - INFO - Epoch [33][1100/1849] lr: 2.000e-04, eta: 1:13:50, time: 0.245, data_time: 0.005, memory: 4401, loss_cls: 1.9322, loss_bbox: 0.7527, loss_iou: 1.1244, d0.loss_cls: 2.0376, d0.loss_bbox: 0.8071, d0.loss_iou: 1.1929, d1.loss_cls: 2.0055, d1.loss_bbox: 0.7882, d1.loss_iou: 1.1673, d2.loss_cls: 1.9747, d2.loss_bbox: 0.7715, d2.loss_iou: 1.1447, d3.loss_cls: 1.9553, d3.loss_bbox: 0.7614, d3.loss_iou: 1.1339, d4.loss_cls: 1.9411, d4.loss_bbox: 0.7548, d4.loss_iou: 1.1269, loss: 23.3723, grad_norm: 16.0278 +2022-10-26 21:58:38,217 - mmdet - INFO - Epoch [33][1150/1849] lr: 2.000e-04, eta: 1:13:43, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9289, loss_bbox: 0.7498, loss_iou: 1.1188, d0.loss_cls: 2.0416, d0.loss_bbox: 0.8044, d0.loss_iou: 1.1854, d1.loss_cls: 2.0054, d1.loss_bbox: 0.7847, d1.loss_iou: 1.1621, d2.loss_cls: 1.9731, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1400, d3.loss_cls: 1.9526, d3.loss_bbox: 0.7583, d3.loss_iou: 1.1291, d4.loss_cls: 1.9396, d4.loss_bbox: 0.7515, d4.loss_iou: 1.1216, loss: 23.3156, grad_norm: 14.0177 +2022-10-26 21:58:45,151 - mmdet - INFO - Epoch [33][1200/1849] lr: 2.000e-04, eta: 1:13:36, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9387, loss_bbox: 0.7491, loss_iou: 1.1169, d0.loss_cls: 2.0465, d0.loss_bbox: 0.8042, d0.loss_iou: 1.1829, d1.loss_cls: 2.0136, d1.loss_bbox: 0.7831, d1.loss_iou: 1.1587, d2.loss_cls: 1.9779, d2.loss_bbox: 0.7677, d2.loss_iou: 1.1376, d3.loss_cls: 1.9610, d3.loss_bbox: 0.7568, d3.loss_iou: 1.1254, d4.loss_cls: 1.9469, d4.loss_bbox: 0.7512, d4.loss_iou: 1.1190, loss: 23.3373, grad_norm: 17.5986 +2022-10-26 21:58:52,212 - mmdet - INFO - Epoch [33][1250/1849] lr: 2.000e-04, eta: 1:13:29, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9242, loss_bbox: 0.7493, loss_iou: 1.1266, d0.loss_cls: 2.0289, d0.loss_bbox: 0.8031, d0.loss_iou: 1.1924, d1.loss_cls: 1.9952, d1.loss_bbox: 0.7844, d1.loss_iou: 1.1678, d2.loss_cls: 1.9657, d2.loss_bbox: 0.7681, d2.loss_iou: 1.1461, d3.loss_cls: 1.9457, d3.loss_bbox: 0.7584, d3.loss_iou: 1.1358, d4.loss_cls: 1.9342, d4.loss_bbox: 0.7517, d4.loss_iou: 1.1288, loss: 23.3061, grad_norm: 15.1842 +2022-10-26 21:58:59,131 - mmdet - INFO - Epoch [33][1300/1849] lr: 2.000e-04, eta: 1:13:22, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9179, loss_bbox: 0.7476, loss_iou: 1.1161, d0.loss_cls: 2.0250, d0.loss_bbox: 0.8025, d0.loss_iou: 1.1837, d1.loss_cls: 1.9938, d1.loss_bbox: 0.7821, d1.loss_iou: 1.1592, d2.loss_cls: 1.9598, d2.loss_bbox: 0.7657, d2.loss_iou: 1.1365, d3.loss_cls: 1.9413, d3.loss_bbox: 0.7551, d3.loss_iou: 1.1263, d4.loss_cls: 1.9257, d4.loss_bbox: 0.7494, d4.loss_iou: 1.1186, loss: 23.2061, grad_norm: 15.5809 +2022-10-26 21:59:06,155 - mmdet - INFO - Epoch [33][1350/1849] lr: 2.000e-04, eta: 1:13:16, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9273, loss_bbox: 0.7513, loss_iou: 1.1218, d0.loss_cls: 2.0330, d0.loss_bbox: 0.8061, d0.loss_iou: 1.1889, d1.loss_cls: 2.0019, d1.loss_bbox: 0.7861, d1.loss_iou: 1.1642, d2.loss_cls: 1.9707, d2.loss_bbox: 0.7694, d2.loss_iou: 1.1413, d3.loss_cls: 1.9502, d3.loss_bbox: 0.7592, d3.loss_iou: 1.1309, d4.loss_cls: 1.9349, d4.loss_bbox: 0.7537, d4.loss_iou: 1.1246, loss: 23.3156, grad_norm: 16.2406 +2022-10-26 21:59:13,271 - mmdet - INFO - Epoch [33][1400/1849] lr: 2.000e-04, eta: 1:13:09, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9319, loss_bbox: 0.7500, loss_iou: 1.1230, d0.loss_cls: 2.0396, d0.loss_bbox: 0.8034, d0.loss_iou: 1.1899, d1.loss_cls: 2.0083, d1.loss_bbox: 0.7846, d1.loss_iou: 1.1651, d2.loss_cls: 1.9744, d2.loss_bbox: 0.7682, d2.loss_iou: 1.1432, d3.loss_cls: 1.9569, d3.loss_bbox: 0.7583, d3.loss_iou: 1.1327, d4.loss_cls: 1.9411, d4.loss_bbox: 0.7517, d4.loss_iou: 1.1256, loss: 23.3478, grad_norm: 15.8539 +2022-10-26 21:59:20,218 - mmdet - INFO - Epoch [33][1450/1849] lr: 2.000e-04, eta: 1:13:02, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9303, loss_bbox: 0.7459, loss_iou: 1.1154, d0.loss_cls: 2.0345, d0.loss_bbox: 0.8001, d0.loss_iou: 1.1830, d1.loss_cls: 2.0038, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1586, d2.loss_cls: 1.9722, d2.loss_bbox: 0.7654, d2.loss_iou: 1.1355, d3.loss_cls: 1.9514, d3.loss_bbox: 0.7549, d3.loss_iou: 1.1251, d4.loss_cls: 1.9385, d4.loss_bbox: 0.7483, d4.loss_iou: 1.1180, loss: 23.2629, grad_norm: 16.5397 +2022-10-26 21:59:26,995 - mmdet - INFO - Epoch [33][1500/1849] lr: 2.000e-04, eta: 1:12:55, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9304, loss_bbox: 0.7471, loss_iou: 1.1211, d0.loss_cls: 2.0423, d0.loss_bbox: 0.8019, d0.loss_iou: 1.1876, d1.loss_cls: 2.0113, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1626, d2.loss_cls: 1.9766, d2.loss_bbox: 0.7658, d2.loss_iou: 1.1409, d3.loss_cls: 1.9555, d3.loss_bbox: 0.7551, d3.loss_iou: 1.1309, d4.loss_cls: 1.9402, d4.loss_bbox: 0.7487, d4.loss_iou: 1.1238, loss: 23.3244, grad_norm: 16.2381 +2022-10-26 21:59:33,899 - mmdet - INFO - Epoch [33][1550/1849] lr: 2.000e-04, eta: 1:12:48, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9373, loss_bbox: 0.7508, loss_iou: 1.1220, d0.loss_cls: 2.0437, d0.loss_bbox: 0.8065, d0.loss_iou: 1.1880, d1.loss_cls: 2.0122, d1.loss_bbox: 0.7855, d1.loss_iou: 1.1639, d2.loss_cls: 1.9786, d2.loss_bbox: 0.7688, d2.loss_iou: 1.1418, d3.loss_cls: 1.9593, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1316, d4.loss_cls: 1.9451, d4.loss_bbox: 0.7533, d4.loss_iou: 1.1246, loss: 23.3722, grad_norm: 15.9885 +2022-10-26 21:59:42,790 - mmdet - INFO - Epoch [33][1600/1849] lr: 2.000e-04, eta: 1:12:42, time: 0.178, data_time: 0.004, memory: 4401, loss_cls: 1.9198, loss_bbox: 0.7472, loss_iou: 1.1169, d0.loss_cls: 2.0273, d0.loss_bbox: 0.8015, d0.loss_iou: 1.1844, d1.loss_cls: 1.9941, d1.loss_bbox: 0.7817, d1.loss_iou: 1.1589, d2.loss_cls: 1.9619, d2.loss_bbox: 0.7657, d2.loss_iou: 1.1373, d3.loss_cls: 1.9423, d3.loss_bbox: 0.7558, d3.loss_iou: 1.1263, d4.loss_cls: 1.9271, d4.loss_bbox: 0.7495, d4.loss_iou: 1.1194, loss: 23.2172, grad_norm: 15.8159 +2022-10-26 21:59:49,923 - mmdet - INFO - Epoch [33][1650/1849] lr: 2.000e-04, eta: 1:12:36, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.9158, loss_bbox: 0.7447, loss_iou: 1.1134, d0.loss_cls: 2.0278, d0.loss_bbox: 0.7985, d0.loss_iou: 1.1795, d1.loss_cls: 1.9906, d1.loss_bbox: 0.7782, d1.loss_iou: 1.1547, d2.loss_cls: 1.9596, d2.loss_bbox: 0.7626, d2.loss_iou: 1.1330, d3.loss_cls: 1.9377, d3.loss_bbox: 0.7530, d3.loss_iou: 1.1230, d4.loss_cls: 1.9238, d4.loss_bbox: 0.7474, d4.loss_iou: 1.1163, loss: 23.1598, grad_norm: 15.2237 +2022-10-26 21:59:56,881 - mmdet - INFO - Epoch [33][1700/1849] lr: 2.000e-04, eta: 1:12:29, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9227, loss_bbox: 0.7467, loss_iou: 1.1204, d0.loss_cls: 2.0343, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1844, d1.loss_cls: 1.9956, d1.loss_bbox: 0.7811, d1.loss_iou: 1.1620, d2.loss_cls: 1.9650, d2.loss_bbox: 0.7644, d2.loss_iou: 1.1403, d3.loss_cls: 1.9467, d3.loss_bbox: 0.7545, d3.loss_iou: 1.1291, d4.loss_cls: 1.9318, d4.loss_bbox: 0.7488, d4.loss_iou: 1.1231, loss: 23.2523, grad_norm: 16.1512 +2022-10-26 22:00:03,898 - mmdet - INFO - Epoch [33][1750/1849] lr: 2.000e-04, eta: 1:12:22, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9337, loss_bbox: 0.7461, loss_iou: 1.1197, d0.loss_cls: 2.0397, d0.loss_bbox: 0.7999, d0.loss_iou: 1.1851, d1.loss_cls: 2.0079, d1.loss_bbox: 0.7820, d1.loss_iou: 1.1611, d2.loss_cls: 1.9753, d2.loss_bbox: 0.7652, d2.loss_iou: 1.1401, d3.loss_cls: 1.9568, d3.loss_bbox: 0.7553, d3.loss_iou: 1.1289, d4.loss_cls: 1.9425, d4.loss_bbox: 0.7488, d4.loss_iou: 1.1222, loss: 23.3104, grad_norm: 15.2613 +2022-10-26 22:00:10,953 - mmdet - INFO - Epoch [33][1800/1849] lr: 2.000e-04, eta: 1:12:15, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9321, loss_bbox: 0.7508, loss_iou: 1.1204, d0.loss_cls: 2.0398, d0.loss_bbox: 0.8049, d0.loss_iou: 1.1869, d1.loss_cls: 2.0111, d1.loss_bbox: 0.7849, d1.loss_iou: 1.1626, d2.loss_cls: 1.9772, d2.loss_bbox: 0.7692, d2.loss_iou: 1.1400, d3.loss_cls: 1.9561, d3.loss_bbox: 0.7587, d3.loss_iou: 1.1297, d4.loss_cls: 1.9419, d4.loss_bbox: 0.7532, d4.loss_iou: 1.1231, loss: 23.3427, grad_norm: 16.9561 +2022-10-26 22:00:17,974 - mmdet - INFO - Saving checkpoint at 33 epochs +2022-10-26 22:00:28,819 - mmdet - INFO - Epoch [34][50/1849] lr: 2.000e-04, eta: 1:12:00, time: 0.205, data_time: 0.064, memory: 4401, loss_cls: 1.9236, loss_bbox: 0.7486, loss_iou: 1.1241, d0.loss_cls: 2.0348, d0.loss_bbox: 0.8034, d0.loss_iou: 1.1907, d1.loss_cls: 2.0008, d1.loss_bbox: 0.7832, d1.loss_iou: 1.1660, d2.loss_cls: 1.9686, d2.loss_bbox: 0.7677, d2.loss_iou: 1.1439, d3.loss_cls: 1.9481, d3.loss_bbox: 0.7571, d3.loss_iou: 1.1334, d4.loss_cls: 1.9320, d4.loss_bbox: 0.7511, d4.loss_iou: 1.1265, loss: 23.3037, grad_norm: 16.3324 +2022-10-26 22:00:35,861 - mmdet - INFO - Epoch [34][100/1849] lr: 2.000e-04, eta: 1:11:53, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9205, loss_bbox: 0.7442, loss_iou: 1.1196, d0.loss_cls: 2.0306, d0.loss_bbox: 0.7986, d0.loss_iou: 1.1846, d1.loss_cls: 1.9948, d1.loss_bbox: 0.7785, d1.loss_iou: 1.1606, d2.loss_cls: 1.9636, d2.loss_bbox: 0.7612, d2.loss_iou: 1.1393, d3.loss_cls: 1.9426, d3.loss_bbox: 0.7517, d3.loss_iou: 1.1289, d4.loss_cls: 1.9280, d4.loss_bbox: 0.7464, d4.loss_iou: 1.1221, loss: 23.2157, grad_norm: 15.2711 +2022-10-26 22:00:43,089 - mmdet - INFO - Epoch [34][150/1849] lr: 2.000e-04, eta: 1:11:46, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9252, loss_bbox: 0.7489, loss_iou: 1.1189, d0.loss_cls: 2.0378, d0.loss_bbox: 0.8039, d0.loss_iou: 1.1855, d1.loss_cls: 2.0017, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1628, d2.loss_cls: 1.9690, d2.loss_bbox: 0.7672, d2.loss_iou: 1.1395, d3.loss_cls: 1.9501, d3.loss_bbox: 0.7568, d3.loss_iou: 1.1286, d4.loss_cls: 1.9339, d4.loss_bbox: 0.7513, d4.loss_iou: 1.1216, loss: 23.2871, grad_norm: 15.3610 +2022-10-26 22:00:50,325 - mmdet - INFO - Epoch [34][200/1849] lr: 2.000e-04, eta: 1:11:39, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9232, loss_bbox: 0.7488, loss_iou: 1.1115, d0.loss_cls: 2.0377, d0.loss_bbox: 0.8047, d0.loss_iou: 1.1793, d1.loss_cls: 1.9997, d1.loss_bbox: 0.7840, d1.loss_iou: 1.1551, d2.loss_cls: 1.9692, d2.loss_bbox: 0.7674, d2.loss_iou: 1.1322, d3.loss_cls: 1.9509, d3.loss_bbox: 0.7572, d3.loss_iou: 1.1208, d4.loss_cls: 1.9341, d4.loss_bbox: 0.7511, d4.loss_iou: 1.1146, loss: 23.2415, grad_norm: 15.9162 +2022-10-26 22:00:57,454 - mmdet - INFO - Epoch [34][250/1849] lr: 2.000e-04, eta: 1:11:33, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9219, loss_bbox: 0.7440, loss_iou: 1.1157, d0.loss_cls: 2.0325, d0.loss_bbox: 0.7982, d0.loss_iou: 1.1812, d1.loss_cls: 1.9976, d1.loss_bbox: 0.7780, d1.loss_iou: 1.1576, d2.loss_cls: 1.9650, d2.loss_bbox: 0.7616, d2.loss_iou: 1.1357, d3.loss_cls: 1.9448, d3.loss_bbox: 0.7516, d3.loss_iou: 1.1257, d4.loss_cls: 1.9312, d4.loss_bbox: 0.7454, d4.loss_iou: 1.1187, loss: 23.2066, grad_norm: 16.2815 +2022-10-26 22:01:04,439 - mmdet - INFO - Epoch [34][300/1849] lr: 2.000e-04, eta: 1:11:26, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9258, loss_bbox: 0.7502, loss_iou: 1.1215, d0.loss_cls: 2.0382, d0.loss_bbox: 0.8036, d0.loss_iou: 1.1877, d1.loss_cls: 2.0029, d1.loss_bbox: 0.7854, d1.loss_iou: 1.1644, d2.loss_cls: 1.9706, d2.loss_bbox: 0.7681, d2.loss_iou: 1.1419, d3.loss_cls: 1.9504, d3.loss_bbox: 0.7580, d3.loss_iou: 1.1304, d4.loss_cls: 1.9342, d4.loss_bbox: 0.7522, d4.loss_iou: 1.1236, loss: 23.3093, grad_norm: 16.2541 +2022-10-26 22:01:11,397 - mmdet - INFO - Epoch [34][350/1849] lr: 2.000e-04, eta: 1:11:19, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9143, loss_bbox: 0.7484, loss_iou: 1.1162, d0.loss_cls: 2.0266, d0.loss_bbox: 0.8018, d0.loss_iou: 1.1824, d1.loss_cls: 1.9876, d1.loss_bbox: 0.7833, d1.loss_iou: 1.1589, d2.loss_cls: 1.9574, d2.loss_bbox: 0.7662, d2.loss_iou: 1.1370, d3.loss_cls: 1.9384, d3.loss_bbox: 0.7565, d3.loss_iou: 1.1258, d4.loss_cls: 1.9213, d4.loss_bbox: 0.7504, d4.loss_iou: 1.1193, loss: 23.1918, grad_norm: 16.1783 +2022-10-26 22:01:18,290 - mmdet - INFO - Epoch [34][400/1849] lr: 2.000e-04, eta: 1:11:12, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9173, loss_bbox: 0.7509, loss_iou: 1.1235, d0.loss_cls: 2.0279, d0.loss_bbox: 0.8054, d0.loss_iou: 1.1898, d1.loss_cls: 1.9940, d1.loss_bbox: 0.7862, d1.loss_iou: 1.1652, d2.loss_cls: 1.9600, d2.loss_bbox: 0.7700, d2.loss_iou: 1.1433, d3.loss_cls: 1.9393, d3.loss_bbox: 0.7594, d3.loss_iou: 1.1327, d4.loss_cls: 1.9264, d4.loss_bbox: 0.7532, d4.loss_iou: 1.1254, loss: 23.2698, grad_norm: 17.3870 +2022-10-26 22:01:25,397 - mmdet - INFO - Epoch [34][450/1849] lr: 2.000e-04, eta: 1:11:05, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9126, loss_bbox: 0.7469, loss_iou: 1.1202, d0.loss_cls: 2.0218, d0.loss_bbox: 0.8018, d0.loss_iou: 1.1856, d1.loss_cls: 1.9868, d1.loss_bbox: 0.7823, d1.loss_iou: 1.1615, d2.loss_cls: 1.9581, d2.loss_bbox: 0.7656, d2.loss_iou: 1.1392, d3.loss_cls: 1.9363, d3.loss_bbox: 0.7559, d3.loss_iou: 1.1289, d4.loss_cls: 1.9219, d4.loss_bbox: 0.7488, d4.loss_iou: 1.1230, loss: 23.1971, grad_norm: 15.1661 +2022-10-26 22:01:32,462 - mmdet - INFO - Epoch [34][500/1849] lr: 2.000e-04, eta: 1:10:59, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9264, loss_bbox: 0.7459, loss_iou: 1.1183, d0.loss_cls: 2.0406, d0.loss_bbox: 0.8006, d0.loss_iou: 1.1836, d1.loss_cls: 2.0034, d1.loss_bbox: 0.7808, d1.loss_iou: 1.1577, d2.loss_cls: 1.9704, d2.loss_bbox: 0.7642, d2.loss_iou: 1.1358, d3.loss_cls: 1.9504, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1270, d4.loss_cls: 1.9351, d4.loss_bbox: 0.7479, d4.loss_iou: 1.1206, loss: 23.2629, grad_norm: 16.2376 +2022-10-26 22:01:39,552 - mmdet - INFO - Epoch [34][550/1849] lr: 2.000e-04, eta: 1:10:52, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9033, loss_bbox: 0.7498, loss_iou: 1.1193, d0.loss_cls: 2.0156, d0.loss_bbox: 0.8030, d0.loss_iou: 1.1849, d1.loss_cls: 1.9818, d1.loss_bbox: 0.7838, d1.loss_iou: 1.1620, d2.loss_cls: 1.9486, d2.loss_bbox: 0.7669, d2.loss_iou: 1.1397, d3.loss_cls: 1.9265, d3.loss_bbox: 0.7577, d3.loss_iou: 1.1291, d4.loss_cls: 1.9115, d4.loss_bbox: 0.7518, d4.loss_iou: 1.1219, loss: 23.1572, grad_norm: 14.4928 +2022-10-26 22:01:46,710 - mmdet - INFO - Epoch [34][600/1849] lr: 2.000e-04, eta: 1:10:45, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9271, loss_bbox: 0.7499, loss_iou: 1.1218, d0.loss_cls: 2.0369, d0.loss_bbox: 0.8043, d0.loss_iou: 1.1876, d1.loss_cls: 2.0050, d1.loss_bbox: 0.7850, d1.loss_iou: 1.1635, d2.loss_cls: 1.9717, d2.loss_bbox: 0.7691, d2.loss_iou: 1.1405, d3.loss_cls: 1.9498, d3.loss_bbox: 0.7582, d3.loss_iou: 1.1303, d4.loss_cls: 1.9362, d4.loss_bbox: 0.7519, d4.loss_iou: 1.1241, loss: 23.3127, grad_norm: 16.0169 +2022-10-26 22:01:53,819 - mmdet - INFO - Epoch [34][650/1849] lr: 2.000e-04, eta: 1:10:38, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9299, loss_bbox: 0.7501, loss_iou: 1.1224, d0.loss_cls: 2.0392, d0.loss_bbox: 0.8029, d0.loss_iou: 1.1861, d1.loss_cls: 2.0084, d1.loss_bbox: 0.7840, d1.loss_iou: 1.1622, d2.loss_cls: 1.9746, d2.loss_bbox: 0.7673, d2.loss_iou: 1.1410, d3.loss_cls: 1.9533, d3.loss_bbox: 0.7572, d3.loss_iou: 1.1303, d4.loss_cls: 1.9377, d4.loss_bbox: 0.7513, d4.loss_iou: 1.1252, loss: 23.3231, grad_norm: 17.1178 +2022-10-26 22:02:00,882 - mmdet - INFO - Epoch [34][700/1849] lr: 2.000e-04, eta: 1:10:31, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9359, loss_bbox: 0.7454, loss_iou: 1.1170, d0.loss_cls: 2.0424, d0.loss_bbox: 0.7981, d0.loss_iou: 1.1842, d1.loss_cls: 2.0082, d1.loss_bbox: 0.7799, d1.loss_iou: 1.1598, d2.loss_cls: 1.9757, d2.loss_bbox: 0.7635, d2.loss_iou: 1.1373, d3.loss_cls: 1.9567, d3.loss_bbox: 0.7534, d3.loss_iou: 1.1262, d4.loss_cls: 1.9454, d4.loss_bbox: 0.7475, d4.loss_iou: 1.1195, loss: 23.2963, grad_norm: 15.3614 +2022-10-26 22:02:07,805 - mmdet - INFO - Epoch [34][750/1849] lr: 2.000e-04, eta: 1:10:25, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9114, loss_bbox: 0.7479, loss_iou: 1.1214, d0.loss_cls: 2.0238, d0.loss_bbox: 0.8020, d0.loss_iou: 1.1863, d1.loss_cls: 1.9881, d1.loss_bbox: 0.7834, d1.loss_iou: 1.1627, d2.loss_cls: 1.9584, d2.loss_bbox: 0.7663, d2.loss_iou: 1.1407, d3.loss_cls: 1.9366, d3.loss_bbox: 0.7559, d3.loss_iou: 1.1304, d4.loss_cls: 1.9214, d4.loss_bbox: 0.7500, d4.loss_iou: 1.1233, loss: 23.2099, grad_norm: 15.1404 +2022-10-26 22:02:14,610 - mmdet - INFO - Epoch [34][800/1849] lr: 2.000e-04, eta: 1:10:18, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9229, loss_bbox: 0.7455, loss_iou: 1.1162, d0.loss_cls: 2.0299, d0.loss_bbox: 0.8011, d0.loss_iou: 1.1852, d1.loss_cls: 1.9990, d1.loss_bbox: 0.7801, d1.loss_iou: 1.1596, d2.loss_cls: 1.9674, d2.loss_bbox: 0.7641, d2.loss_iou: 1.1369, d3.loss_cls: 1.9462, d3.loss_bbox: 0.7532, d3.loss_iou: 1.1261, d4.loss_cls: 1.9333, d4.loss_bbox: 0.7476, d4.loss_iou: 1.1190, loss: 23.2331, grad_norm: 14.9191 +2022-10-26 22:02:21,535 - mmdet - INFO - Epoch [34][850/1849] lr: 2.000e-04, eta: 1:10:11, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9376, loss_bbox: 0.7494, loss_iou: 1.1216, d0.loss_cls: 2.0456, d0.loss_bbox: 0.8026, d0.loss_iou: 1.1883, d1.loss_cls: 2.0121, d1.loss_bbox: 0.7841, d1.loss_iou: 1.1636, d2.loss_cls: 1.9798, d2.loss_bbox: 0.7682, d2.loss_iou: 1.1421, d3.loss_cls: 1.9596, d3.loss_bbox: 0.7564, d3.loss_iou: 1.1308, d4.loss_cls: 1.9429, d4.loss_bbox: 0.7514, d4.loss_iou: 1.1245, loss: 23.3607, grad_norm: 16.3736 +2022-10-26 22:02:28,565 - mmdet - INFO - Epoch [34][900/1849] lr: 2.000e-04, eta: 1:10:04, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9176, loss_bbox: 0.7481, loss_iou: 1.1179, d0.loss_cls: 2.0249, d0.loss_bbox: 0.8014, d0.loss_iou: 1.1827, d1.loss_cls: 1.9892, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1593, d2.loss_cls: 1.9573, d2.loss_bbox: 0.7659, d2.loss_iou: 1.1385, d3.loss_cls: 1.9378, d3.loss_bbox: 0.7558, d3.loss_iou: 1.1282, d4.loss_cls: 1.9248, d4.loss_bbox: 0.7503, d4.loss_iou: 1.1214, loss: 23.2034, grad_norm: 15.8534 +2022-10-26 22:02:35,512 - mmdet - INFO - Epoch [34][950/1849] lr: 2.000e-04, eta: 1:09:57, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9180, loss_bbox: 0.7496, loss_iou: 1.1190, d0.loss_cls: 2.0304, d0.loss_bbox: 0.8053, d0.loss_iou: 1.1844, d1.loss_cls: 1.9958, d1.loss_bbox: 0.7852, d1.loss_iou: 1.1605, d2.loss_cls: 1.9608, d2.loss_bbox: 0.7678, d2.loss_iou: 1.1377, d3.loss_cls: 1.9413, d3.loss_bbox: 0.7572, d3.loss_iou: 1.1276, d4.loss_cls: 1.9265, d4.loss_bbox: 0.7509, d4.loss_iou: 1.1221, loss: 23.2402, grad_norm: 16.3381 +2022-10-26 22:02:42,471 - mmdet - INFO - Epoch [34][1000/1849] lr: 2.000e-04, eta: 1:09:50, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9124, loss_bbox: 0.7424, loss_iou: 1.1128, d0.loss_cls: 2.0234, d0.loss_bbox: 0.7987, d0.loss_iou: 1.1798, d1.loss_cls: 1.9900, d1.loss_bbox: 0.7775, d1.loss_iou: 1.1549, d2.loss_cls: 1.9560, d2.loss_bbox: 0.7615, d2.loss_iou: 1.1328, d3.loss_cls: 1.9361, d3.loss_bbox: 0.7514, d3.loss_iou: 1.1223, d4.loss_cls: 1.9236, d4.loss_bbox: 0.7447, d4.loss_iou: 1.1155, loss: 23.1358, grad_norm: 17.1678 +2022-10-26 22:02:49,454 - mmdet - INFO - Epoch [34][1050/1849] lr: 2.000e-04, eta: 1:09:43, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9296, loss_bbox: 0.7501, loss_iou: 1.1200, d0.loss_cls: 2.0420, d0.loss_bbox: 0.8050, d0.loss_iou: 1.1877, d1.loss_cls: 2.0046, d1.loss_bbox: 0.7851, d1.loss_iou: 1.1630, d2.loss_cls: 1.9707, d2.loss_bbox: 0.7689, d2.loss_iou: 1.1407, d3.loss_cls: 1.9534, d3.loss_bbox: 0.7585, d3.loss_iou: 1.1300, d4.loss_cls: 1.9379, d4.loss_bbox: 0.7520, d4.loss_iou: 1.1226, loss: 23.3217, grad_norm: 16.8052 +2022-10-26 22:02:56,248 - mmdet - INFO - Epoch [34][1100/1849] lr: 2.000e-04, eta: 1:09:37, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9245, loss_bbox: 0.7479, loss_iou: 1.1195, d0.loss_cls: 2.0316, d0.loss_bbox: 0.8020, d0.loss_iou: 1.1872, d1.loss_cls: 1.9951, d1.loss_bbox: 0.7835, d1.loss_iou: 1.1633, d2.loss_cls: 1.9659, d2.loss_bbox: 0.7671, d2.loss_iou: 1.1403, d3.loss_cls: 1.9460, d3.loss_bbox: 0.7561, d3.loss_iou: 1.1297, d4.loss_cls: 1.9330, d4.loss_bbox: 0.7494, d4.loss_iou: 1.1223, loss: 23.2644, grad_norm: 16.5092 +2022-10-26 22:03:03,362 - mmdet - INFO - Epoch [34][1150/1849] lr: 2.000e-04, eta: 1:09:30, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9310, loss_bbox: 0.7465, loss_iou: 1.1194, d0.loss_cls: 2.0392, d0.loss_bbox: 0.8014, d0.loss_iou: 1.1878, d1.loss_cls: 2.0061, d1.loss_bbox: 0.7816, d1.loss_iou: 1.1623, d2.loss_cls: 1.9733, d2.loss_bbox: 0.7661, d2.loss_iou: 1.1407, d3.loss_cls: 1.9523, d3.loss_bbox: 0.7556, d3.loss_iou: 1.1288, d4.loss_cls: 1.9384, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1222, loss: 23.3012, grad_norm: 14.9435 +2022-10-26 22:03:10,245 - mmdet - INFO - Epoch [34][1200/1849] lr: 2.000e-04, eta: 1:09:23, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9240, loss_bbox: 0.7487, loss_iou: 1.1226, d0.loss_cls: 2.0322, d0.loss_bbox: 0.8021, d0.loss_iou: 1.1892, d1.loss_cls: 1.9998, d1.loss_bbox: 0.7834, d1.loss_iou: 1.1653, d2.loss_cls: 1.9667, d2.loss_bbox: 0.7669, d2.loss_iou: 1.1431, d3.loss_cls: 1.9458, d3.loss_bbox: 0.7564, d3.loss_iou: 1.1328, d4.loss_cls: 1.9320, d4.loss_bbox: 0.7507, d4.loss_iou: 1.1254, loss: 23.2871, grad_norm: 14.7248 +2022-10-26 22:03:17,258 - mmdet - INFO - Epoch [34][1250/1849] lr: 2.000e-04, eta: 1:09:16, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9158, loss_bbox: 0.7424, loss_iou: 1.1182, d0.loss_cls: 2.0255, d0.loss_bbox: 0.7963, d0.loss_iou: 1.1846, d1.loss_cls: 1.9903, d1.loss_bbox: 0.7777, d1.loss_iou: 1.1611, d2.loss_cls: 1.9593, d2.loss_bbox: 0.7615, d2.loss_iou: 1.1379, d3.loss_cls: 1.9392, d3.loss_bbox: 0.7509, d3.loss_iou: 1.1276, d4.loss_cls: 1.9235, d4.loss_bbox: 0.7450, d4.loss_iou: 1.1207, loss: 23.1774, grad_norm: 14.3503 +2022-10-26 22:03:24,228 - mmdet - INFO - Epoch [34][1300/1849] lr: 2.000e-04, eta: 1:09:09, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9332, loss_bbox: 0.7511, loss_iou: 1.1230, d0.loss_cls: 2.0375, d0.loss_bbox: 0.8059, d0.loss_iou: 1.1895, d1.loss_cls: 2.0064, d1.loss_bbox: 0.7864, d1.loss_iou: 1.1635, d2.loss_cls: 1.9755, d2.loss_bbox: 0.7701, d2.loss_iou: 1.1428, d3.loss_cls: 1.9564, d3.loss_bbox: 0.7593, d3.loss_iou: 1.1323, d4.loss_cls: 1.9417, d4.loss_bbox: 0.7532, d4.loss_iou: 1.1259, loss: 23.3537, grad_norm: 14.8477 +2022-10-26 22:03:31,351 - mmdet - INFO - Epoch [34][1350/1849] lr: 2.000e-04, eta: 1:09:02, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9360, loss_bbox: 0.7526, loss_iou: 1.1229, d0.loss_cls: 2.0403, d0.loss_bbox: 0.8080, d0.loss_iou: 1.1902, d1.loss_cls: 2.0067, d1.loss_bbox: 0.7868, d1.loss_iou: 1.1658, d2.loss_cls: 1.9789, d2.loss_bbox: 0.7711, d2.loss_iou: 1.1428, d3.loss_cls: 1.9609, d3.loss_bbox: 0.7608, d3.loss_iou: 1.1325, d4.loss_cls: 1.9457, d4.loss_bbox: 0.7543, d4.loss_iou: 1.1254, loss: 23.3818, grad_norm: 15.2231 +2022-10-26 22:03:38,331 - mmdet - INFO - Epoch [34][1400/1849] lr: 2.000e-04, eta: 1:08:56, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9205, loss_bbox: 0.7472, loss_iou: 1.1177, d0.loss_cls: 2.0305, d0.loss_bbox: 0.8018, d0.loss_iou: 1.1854, d1.loss_cls: 1.9969, d1.loss_bbox: 0.7827, d1.loss_iou: 1.1595, d2.loss_cls: 1.9605, d2.loss_bbox: 0.7657, d2.loss_iou: 1.1371, d3.loss_cls: 1.9404, d3.loss_bbox: 0.7555, d3.loss_iou: 1.1273, d4.loss_cls: 1.9280, d4.loss_bbox: 0.7494, d4.loss_iou: 1.1199, loss: 23.2260, grad_norm: 14.0504 +2022-10-26 22:03:45,253 - mmdet - INFO - Epoch [34][1450/1849] lr: 2.000e-04, eta: 1:08:49, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9251, loss_bbox: 0.7488, loss_iou: 1.1147, d0.loss_cls: 2.0358, d0.loss_bbox: 0.8041, d0.loss_iou: 1.1808, d1.loss_cls: 2.0020, d1.loss_bbox: 0.7837, d1.loss_iou: 1.1575, d2.loss_cls: 1.9667, d2.loss_bbox: 0.7675, d2.loss_iou: 1.1357, d3.loss_cls: 1.9465, d3.loss_bbox: 0.7583, d3.loss_iou: 1.1240, d4.loss_cls: 1.9334, d4.loss_bbox: 0.7511, d4.loss_iou: 1.1177, loss: 23.2535, grad_norm: 14.7642 +2022-10-26 22:03:52,222 - mmdet - INFO - Epoch [34][1500/1849] lr: 2.000e-04, eta: 1:08:42, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9274, loss_bbox: 0.7411, loss_iou: 1.1095, d0.loss_cls: 2.0352, d0.loss_bbox: 0.7967, d0.loss_iou: 1.1803, d1.loss_cls: 2.0030, d1.loss_bbox: 0.7772, d1.loss_iou: 1.1540, d2.loss_cls: 1.9715, d2.loss_bbox: 0.7593, d2.loss_iou: 1.1308, d3.loss_cls: 1.9518, d3.loss_bbox: 0.7491, d3.loss_iou: 1.1193, d4.loss_cls: 1.9361, d4.loss_bbox: 0.7429, d4.loss_iou: 1.1121, loss: 23.1973, grad_norm: 15.7582 +2022-10-26 22:03:58,980 - mmdet - INFO - Epoch [34][1550/1849] lr: 2.000e-04, eta: 1:08:35, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9273, loss_bbox: 0.7475, loss_iou: 1.1205, d0.loss_cls: 2.0403, d0.loss_bbox: 0.8037, d0.loss_iou: 1.1883, d1.loss_cls: 2.0051, d1.loss_bbox: 0.7837, d1.loss_iou: 1.1634, d2.loss_cls: 1.9720, d2.loss_bbox: 0.7674, d2.loss_iou: 1.1419, d3.loss_cls: 1.9537, d3.loss_bbox: 0.7567, d3.loss_iou: 1.1304, d4.loss_cls: 1.9383, d4.loss_bbox: 0.7499, d4.loss_iou: 1.1231, loss: 23.3131, grad_norm: 17.9410 +2022-10-26 22:04:05,726 - mmdet - INFO - Epoch [34][1600/1849] lr: 2.000e-04, eta: 1:08:28, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9190, loss_bbox: 0.7500, loss_iou: 1.1238, d0.loss_cls: 2.0264, d0.loss_bbox: 0.8029, d0.loss_iou: 1.1890, d1.loss_cls: 1.9941, d1.loss_bbox: 0.7840, d1.loss_iou: 1.1647, d2.loss_cls: 1.9623, d2.loss_bbox: 0.7678, d2.loss_iou: 1.1429, d3.loss_cls: 1.9420, d3.loss_bbox: 0.7576, d3.loss_iou: 1.1327, d4.loss_cls: 1.9287, d4.loss_bbox: 0.7519, d4.loss_iou: 1.1265, loss: 23.2665, grad_norm: 15.9271 +2022-10-26 22:04:12,640 - mmdet - INFO - Epoch [34][1650/1849] lr: 2.000e-04, eta: 1:08:21, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9242, loss_bbox: 0.7484, loss_iou: 1.1156, d0.loss_cls: 2.0348, d0.loss_bbox: 0.8036, d0.loss_iou: 1.1821, d1.loss_cls: 2.0005, d1.loss_bbox: 0.7835, d1.loss_iou: 1.1586, d2.loss_cls: 1.9676, d2.loss_bbox: 0.7679, d2.loss_iou: 1.1359, d3.loss_cls: 1.9465, d3.loss_bbox: 0.7569, d3.loss_iou: 1.1253, d4.loss_cls: 1.9325, d4.loss_bbox: 0.7505, d4.loss_iou: 1.1185, loss: 23.2528, grad_norm: 15.1370 +2022-10-26 22:04:19,408 - mmdet - INFO - Epoch [34][1700/1849] lr: 2.000e-04, eta: 1:08:14, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9291, loss_bbox: 0.7467, loss_iou: 1.1181, d0.loss_cls: 2.0383, d0.loss_bbox: 0.8001, d0.loss_iou: 1.1853, d1.loss_cls: 2.0021, d1.loss_bbox: 0.7815, d1.loss_iou: 1.1604, d2.loss_cls: 1.9709, d2.loss_bbox: 0.7646, d2.loss_iou: 1.1381, d3.loss_cls: 1.9506, d3.loss_bbox: 0.7553, d3.loss_iou: 1.1273, d4.loss_cls: 1.9371, d4.loss_bbox: 0.7488, d4.loss_iou: 1.1204, loss: 23.2747, grad_norm: 16.7486 +2022-10-26 22:04:26,172 - mmdet - INFO - Epoch [34][1750/1849] lr: 2.000e-04, eta: 1:08:07, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9192, loss_bbox: 0.7486, loss_iou: 1.1183, d0.loss_cls: 2.0281, d0.loss_bbox: 0.8021, d0.loss_iou: 1.1842, d1.loss_cls: 1.9914, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1592, d2.loss_cls: 1.9607, d2.loss_bbox: 0.7662, d2.loss_iou: 1.1376, d3.loss_cls: 1.9389, d3.loss_bbox: 0.7565, d3.loss_iou: 1.1271, d4.loss_cls: 1.9262, d4.loss_bbox: 0.7507, d4.loss_iou: 1.1203, loss: 23.2171, grad_norm: 14.4447 +2022-10-26 22:04:33,067 - mmdet - INFO - Epoch [34][1800/1849] lr: 2.000e-04, eta: 1:08:00, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9185, loss_bbox: 0.7494, loss_iou: 1.1209, d0.loss_cls: 2.0261, d0.loss_bbox: 0.8026, d0.loss_iou: 1.1863, d1.loss_cls: 1.9925, d1.loss_bbox: 0.7829, d1.loss_iou: 1.1622, d2.loss_cls: 1.9597, d2.loss_bbox: 0.7667, d2.loss_iou: 1.1400, d3.loss_cls: 1.9380, d3.loss_bbox: 0.7577, d3.loss_iou: 1.1302, d4.loss_cls: 1.9271, d4.loss_bbox: 0.7512, d4.loss_iou: 1.1236, loss: 23.2355, grad_norm: 14.9828 +2022-10-26 22:04:39,896 - mmdet - INFO - Saving checkpoint at 34 epochs +2022-10-26 22:04:50,440 - mmdet - INFO - Epoch [35][50/1849] lr: 2.000e-04, eta: 1:07:45, time: 0.198, data_time: 0.063, memory: 4401, loss_cls: 1.9012, loss_bbox: 0.7424, loss_iou: 1.1172, d0.loss_cls: 2.0161, d0.loss_bbox: 0.7975, d0.loss_iou: 1.1855, d1.loss_cls: 1.9805, d1.loss_bbox: 0.7768, d1.loss_iou: 1.1599, d2.loss_cls: 1.9468, d2.loss_bbox: 0.7598, d2.loss_iou: 1.1377, d3.loss_cls: 1.9259, d3.loss_bbox: 0.7502, d3.loss_iou: 1.1270, d4.loss_cls: 1.9079, d4.loss_bbox: 0.7447, d4.loss_iou: 1.1197, loss: 23.0968, grad_norm: 14.0091 +2022-10-26 22:04:57,580 - mmdet - INFO - Epoch [35][100/1849] lr: 2.000e-04, eta: 1:07:38, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9332, loss_bbox: 0.7487, loss_iou: 1.1202, d0.loss_cls: 2.0432, d0.loss_bbox: 0.8039, d0.loss_iou: 1.1874, d1.loss_cls: 2.0084, d1.loss_bbox: 0.7840, d1.loss_iou: 1.1636, d2.loss_cls: 1.9765, d2.loss_bbox: 0.7673, d2.loss_iou: 1.1406, d3.loss_cls: 1.9533, d3.loss_bbox: 0.7570, d3.loss_iou: 1.1297, d4.loss_cls: 1.9397, d4.loss_bbox: 0.7507, d4.loss_iou: 1.1231, loss: 23.3306, grad_norm: 14.3898 +2022-10-26 22:05:04,596 - mmdet - INFO - Epoch [35][150/1849] lr: 2.000e-04, eta: 1:07:31, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9286, loss_bbox: 0.7472, loss_iou: 1.1207, d0.loss_cls: 2.0357, d0.loss_bbox: 0.8002, d0.loss_iou: 1.1855, d1.loss_cls: 2.0023, d1.loss_bbox: 0.7805, d1.loss_iou: 1.1615, d2.loss_cls: 1.9728, d2.loss_bbox: 0.7654, d2.loss_iou: 1.1399, d3.loss_cls: 1.9506, d3.loss_bbox: 0.7555, d3.loss_iou: 1.1294, d4.loss_cls: 1.9364, d4.loss_bbox: 0.7491, d4.loss_iou: 1.1235, loss: 23.2850, grad_norm: 14.6408 +2022-10-26 22:05:11,759 - mmdet - INFO - Epoch [35][200/1849] lr: 2.000e-04, eta: 1:07:25, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9265, loss_bbox: 0.7455, loss_iou: 1.1162, d0.loss_cls: 2.0383, d0.loss_bbox: 0.7980, d0.loss_iou: 1.1815, d1.loss_cls: 2.0045, d1.loss_bbox: 0.7791, d1.loss_iou: 1.1578, d2.loss_cls: 1.9708, d2.loss_bbox: 0.7633, d2.loss_iou: 1.1366, d3.loss_cls: 1.9504, d3.loss_bbox: 0.7533, d3.loss_iou: 1.1257, d4.loss_cls: 1.9356, d4.loss_bbox: 0.7472, d4.loss_iou: 1.1191, loss: 23.2496, grad_norm: 17.1351 +2022-10-26 22:05:18,799 - mmdet - INFO - Epoch [35][250/1849] lr: 2.000e-04, eta: 1:07:18, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9131, loss_bbox: 0.7458, loss_iou: 1.1193, d0.loss_cls: 2.0223, d0.loss_bbox: 0.8001, d0.loss_iou: 1.1876, d1.loss_cls: 1.9890, d1.loss_bbox: 0.7799, d1.loss_iou: 1.1627, d2.loss_cls: 1.9581, d2.loss_bbox: 0.7650, d2.loss_iou: 1.1398, d3.loss_cls: 1.9368, d3.loss_bbox: 0.7549, d3.loss_iou: 1.1290, d4.loss_cls: 1.9224, d4.loss_bbox: 0.7482, d4.loss_iou: 1.1220, loss: 23.1960, grad_norm: 15.1516 +2022-10-26 22:05:25,809 - mmdet - INFO - Epoch [35][300/1849] lr: 2.000e-04, eta: 1:07:11, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9161, loss_bbox: 0.7470, loss_iou: 1.1205, d0.loss_cls: 2.0279, d0.loss_bbox: 0.8007, d0.loss_iou: 1.1852, d1.loss_cls: 1.9932, d1.loss_bbox: 0.7827, d1.loss_iou: 1.1620, d2.loss_cls: 1.9610, d2.loss_bbox: 0.7660, d2.loss_iou: 1.1398, d3.loss_cls: 1.9395, d3.loss_bbox: 0.7555, d3.loss_iou: 1.1304, d4.loss_cls: 1.9257, d4.loss_bbox: 0.7493, d4.loss_iou: 1.1231, loss: 23.2256, grad_norm: 16.3194 +2022-10-26 22:05:32,824 - mmdet - INFO - Epoch [35][350/1849] lr: 2.000e-04, eta: 1:07:04, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9201, loss_bbox: 0.7488, loss_iou: 1.1177, d0.loss_cls: 2.0298, d0.loss_bbox: 0.8044, d0.loss_iou: 1.1839, d1.loss_cls: 1.9973, d1.loss_bbox: 0.7847, d1.loss_iou: 1.1602, d2.loss_cls: 1.9633, d2.loss_bbox: 0.7675, d2.loss_iou: 1.1382, d3.loss_cls: 1.9438, d3.loss_bbox: 0.7576, d3.loss_iou: 1.1274, d4.loss_cls: 1.9285, d4.loss_bbox: 0.7514, d4.loss_iou: 1.1204, loss: 23.2447, grad_norm: 15.7067 +2022-10-26 22:05:39,906 - mmdet - INFO - Epoch [35][400/1849] lr: 2.000e-04, eta: 1:06:57, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9059, loss_bbox: 0.7496, loss_iou: 1.1187, d0.loss_cls: 2.0190, d0.loss_bbox: 0.8053, d0.loss_iou: 1.1860, d1.loss_cls: 1.9834, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1599, d2.loss_cls: 1.9477, d2.loss_bbox: 0.7674, d2.loss_iou: 1.1390, d3.loss_cls: 1.9290, d3.loss_bbox: 0.7576, d3.loss_iou: 1.1280, d4.loss_cls: 1.9149, d4.loss_bbox: 0.7516, d4.loss_iou: 1.1214, loss: 23.1687, grad_norm: 14.3362 +2022-10-26 22:05:46,747 - mmdet - INFO - Epoch [35][450/1849] lr: 2.000e-04, eta: 1:06:50, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9175, loss_bbox: 0.7510, loss_iou: 1.1255, d0.loss_cls: 2.0308, d0.loss_bbox: 0.8052, d0.loss_iou: 1.1904, d1.loss_cls: 1.9952, d1.loss_bbox: 0.7854, d1.loss_iou: 1.1678, d2.loss_cls: 1.9617, d2.loss_bbox: 0.7694, d2.loss_iou: 1.1451, d3.loss_cls: 1.9400, d3.loss_bbox: 0.7591, d3.loss_iou: 1.1342, d4.loss_cls: 1.9266, d4.loss_bbox: 0.7537, d4.loss_iou: 1.1273, loss: 23.2860, grad_norm: 15.8674 +2022-10-26 22:05:53,757 - mmdet - INFO - Epoch [35][500/1849] lr: 2.000e-04, eta: 1:06:44, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9277, loss_bbox: 0.7466, loss_iou: 1.1202, d0.loss_cls: 2.0381, d0.loss_bbox: 0.8009, d0.loss_iou: 1.1861, d1.loss_cls: 2.0028, d1.loss_bbox: 0.7810, d1.loss_iou: 1.1622, d2.loss_cls: 1.9688, d2.loss_bbox: 0.7651, d2.loss_iou: 1.1397, d3.loss_cls: 1.9485, d3.loss_bbox: 0.7545, d3.loss_iou: 1.1303, d4.loss_cls: 1.9360, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1227, loss: 23.2798, grad_norm: 16.1873 +2022-10-26 22:06:00,743 - mmdet - INFO - Epoch [35][550/1849] lr: 2.000e-04, eta: 1:06:37, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9105, loss_bbox: 0.7451, loss_iou: 1.1182, d0.loss_cls: 2.0187, d0.loss_bbox: 0.8017, d0.loss_iou: 1.1860, d1.loss_cls: 1.9831, d1.loss_bbox: 0.7821, d1.loss_iou: 1.1596, d2.loss_cls: 1.9526, d2.loss_bbox: 0.7641, d2.loss_iou: 1.1382, d3.loss_cls: 1.9311, d3.loss_bbox: 0.7541, d3.loss_iou: 1.1281, d4.loss_cls: 1.9169, d4.loss_bbox: 0.7470, d4.loss_iou: 1.1212, loss: 23.1584, grad_norm: 16.0280 +2022-10-26 22:06:07,707 - mmdet - INFO - Epoch [35][600/1849] lr: 2.000e-04, eta: 1:06:30, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9114, loss_bbox: 0.7469, loss_iou: 1.1170, d0.loss_cls: 2.0185, d0.loss_bbox: 0.8024, d0.loss_iou: 1.1840, d1.loss_cls: 1.9845, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1587, d2.loss_cls: 1.9556, d2.loss_bbox: 0.7659, d2.loss_iou: 1.1367, d3.loss_cls: 1.9342, d3.loss_bbox: 0.7554, d3.loss_iou: 1.1271, d4.loss_cls: 1.9215, d4.loss_bbox: 0.7497, d4.loss_iou: 1.1200, loss: 23.1714, grad_norm: 15.2940 +2022-10-26 22:06:14,524 - mmdet - INFO - Epoch [35][650/1849] lr: 2.000e-04, eta: 1:06:23, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9142, loss_bbox: 0.7450, loss_iou: 1.1191, d0.loss_cls: 2.0246, d0.loss_bbox: 0.8008, d0.loss_iou: 1.1872, d1.loss_cls: 1.9870, d1.loss_bbox: 0.7803, d1.loss_iou: 1.1607, d2.loss_cls: 1.9554, d2.loss_bbox: 0.7632, d2.loss_iou: 1.1388, d3.loss_cls: 1.9350, d3.loss_bbox: 0.7534, d3.loss_iou: 1.1287, d4.loss_cls: 1.9213, d4.loss_bbox: 0.7474, d4.loss_iou: 1.1217, loss: 23.1836, grad_norm: 14.7396 +2022-10-26 22:06:21,534 - mmdet - INFO - Epoch [35][700/1849] lr: 2.000e-04, eta: 1:06:16, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9298, loss_bbox: 0.7461, loss_iou: 1.1199, d0.loss_cls: 2.0413, d0.loss_bbox: 0.8014, d0.loss_iou: 1.1868, d1.loss_cls: 2.0057, d1.loss_bbox: 0.7812, d1.loss_iou: 1.1631, d2.loss_cls: 1.9731, d2.loss_bbox: 0.7641, d2.loss_iou: 1.1397, d3.loss_cls: 1.9513, d3.loss_bbox: 0.7545, d3.loss_iou: 1.1294, d4.loss_cls: 1.9368, d4.loss_bbox: 0.7482, d4.loss_iou: 1.1226, loss: 23.2947, grad_norm: 15.3668 +2022-10-26 22:06:28,380 - mmdet - INFO - Epoch [35][750/1849] lr: 2.000e-04, eta: 1:06:09, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9261, loss_bbox: 0.7480, loss_iou: 1.1192, d0.loss_cls: 2.0392, d0.loss_bbox: 0.8018, d0.loss_iou: 1.1866, d1.loss_cls: 2.0009, d1.loss_bbox: 0.7836, d1.loss_iou: 1.1627, d2.loss_cls: 1.9704, d2.loss_bbox: 0.7666, d2.loss_iou: 1.1412, d3.loss_cls: 1.9475, d3.loss_bbox: 0.7559, d3.loss_iou: 1.1300, d4.loss_cls: 1.9337, d4.loss_bbox: 0.7500, d4.loss_iou: 1.1222, loss: 23.2855, grad_norm: 16.0685 +2022-10-26 22:06:35,105 - mmdet - INFO - Epoch [35][800/1849] lr: 2.000e-04, eta: 1:06:02, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9185, loss_bbox: 0.7473, loss_iou: 1.1224, d0.loss_cls: 2.0234, d0.loss_bbox: 0.8009, d0.loss_iou: 1.1877, d1.loss_cls: 1.9912, d1.loss_bbox: 0.7819, d1.loss_iou: 1.1616, d2.loss_cls: 1.9594, d2.loss_bbox: 0.7660, d2.loss_iou: 1.1404, d3.loss_cls: 1.9402, d3.loss_bbox: 0.7552, d3.loss_iou: 1.1309, d4.loss_cls: 1.9272, d4.loss_bbox: 0.7498, d4.loss_iou: 1.1249, loss: 23.2289, grad_norm: 15.4127 +2022-10-26 22:06:42,032 - mmdet - INFO - Epoch [35][850/1849] lr: 2.000e-04, eta: 1:05:55, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9333, loss_bbox: 0.7495, loss_iou: 1.1171, d0.loss_cls: 2.0397, d0.loss_bbox: 0.8025, d0.loss_iou: 1.1844, d1.loss_cls: 2.0075, d1.loss_bbox: 0.7843, d1.loss_iou: 1.1599, d2.loss_cls: 1.9752, d2.loss_bbox: 0.7673, d2.loss_iou: 1.1380, d3.loss_cls: 1.9567, d3.loss_bbox: 0.7570, d3.loss_iou: 1.1266, d4.loss_cls: 1.9414, d4.loss_bbox: 0.7512, d4.loss_iou: 1.1197, loss: 23.3114, grad_norm: 13.7242 +2022-10-26 22:06:48,937 - mmdet - INFO - Epoch [35][900/1849] lr: 2.000e-04, eta: 1:05:49, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9237, loss_bbox: 0.7452, loss_iou: 1.1124, d0.loss_cls: 2.0285, d0.loss_bbox: 0.7987, d0.loss_iou: 1.1792, d1.loss_cls: 1.9990, d1.loss_bbox: 0.7805, d1.loss_iou: 1.1555, d2.loss_cls: 1.9643, d2.loss_bbox: 0.7643, d2.loss_iou: 1.1340, d3.loss_cls: 1.9467, d3.loss_bbox: 0.7533, d3.loss_iou: 1.1227, d4.loss_cls: 1.9328, d4.loss_bbox: 0.7478, d4.loss_iou: 1.1147, loss: 23.2032, grad_norm: 13.3989 +2022-10-26 22:06:55,674 - mmdet - INFO - Epoch [35][950/1849] lr: 2.000e-04, eta: 1:05:42, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9248, loss_bbox: 0.7528, loss_iou: 1.1220, d0.loss_cls: 2.0348, d0.loss_bbox: 0.8074, d0.loss_iou: 1.1871, d1.loss_cls: 2.0009, d1.loss_bbox: 0.7880, d1.loss_iou: 1.1632, d2.loss_cls: 1.9682, d2.loss_bbox: 0.7718, d2.loss_iou: 1.1414, d3.loss_cls: 1.9474, d3.loss_bbox: 0.7615, d3.loss_iou: 1.1308, d4.loss_cls: 1.9337, d4.loss_bbox: 0.7556, d4.loss_iou: 1.1244, loss: 23.3158, grad_norm: 17.4004 +2022-10-26 22:07:02,712 - mmdet - INFO - Epoch [35][1000/1849] lr: 2.000e-04, eta: 1:05:35, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9204, loss_bbox: 0.7458, loss_iou: 1.1171, d0.loss_cls: 2.0334, d0.loss_bbox: 0.8004, d0.loss_iou: 1.1833, d1.loss_cls: 2.0026, d1.loss_bbox: 0.7812, d1.loss_iou: 1.1593, d2.loss_cls: 1.9672, d2.loss_bbox: 0.7643, d2.loss_iou: 1.1381, d3.loss_cls: 1.9445, d3.loss_bbox: 0.7545, d3.loss_iou: 1.1272, d4.loss_cls: 1.9296, d4.loss_bbox: 0.7479, d4.loss_iou: 1.1198, loss: 23.2364, grad_norm: 16.3798 +2022-10-26 22:07:09,541 - mmdet - INFO - Epoch [35][1050/1849] lr: 2.000e-04, eta: 1:05:28, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9191, loss_bbox: 0.7426, loss_iou: 1.1186, d0.loss_cls: 2.0258, d0.loss_bbox: 0.7990, d0.loss_iou: 1.1855, d1.loss_cls: 1.9923, d1.loss_bbox: 0.7776, d1.loss_iou: 1.1608, d2.loss_cls: 1.9618, d2.loss_bbox: 0.7614, d2.loss_iou: 1.1392, d3.loss_cls: 1.9399, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1282, d4.loss_cls: 1.9279, d4.loss_bbox: 0.7447, d4.loss_iou: 1.1208, loss: 23.1963, grad_norm: 15.6003 +2022-10-26 22:07:16,582 - mmdet - INFO - Epoch [35][1100/1849] lr: 2.000e-04, eta: 1:05:21, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9314, loss_bbox: 0.7485, loss_iou: 1.1187, d0.loss_cls: 2.0376, d0.loss_bbox: 0.8006, d0.loss_iou: 1.1856, d1.loss_cls: 2.0029, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1606, d2.loss_cls: 1.9716, d2.loss_bbox: 0.7673, d2.loss_iou: 1.1393, d3.loss_cls: 1.9518, d3.loss_bbox: 0.7571, d3.loss_iou: 1.1283, d4.loss_cls: 1.9399, d4.loss_bbox: 0.7504, d4.loss_iou: 1.1214, loss: 23.2975, grad_norm: 15.0500 +2022-10-26 22:07:23,444 - mmdet - INFO - Epoch [35][1150/1849] lr: 2.000e-04, eta: 1:05:14, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9248, loss_bbox: 0.7474, loss_iou: 1.1198, d0.loss_cls: 2.0377, d0.loss_bbox: 0.8030, d0.loss_iou: 1.1868, d1.loss_cls: 2.0014, d1.loss_bbox: 0.7831, d1.loss_iou: 1.1619, d2.loss_cls: 1.9692, d2.loss_bbox: 0.7662, d2.loss_iou: 1.1386, d3.loss_cls: 1.9480, d3.loss_bbox: 0.7562, d3.loss_iou: 1.1286, d4.loss_cls: 1.9325, d4.loss_bbox: 0.7497, d4.loss_iou: 1.1219, loss: 23.2767, grad_norm: 14.6793 +2022-10-26 22:07:30,428 - mmdet - INFO - Epoch [35][1200/1849] lr: 2.000e-04, eta: 1:05:07, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9250, loss_bbox: 0.7504, loss_iou: 1.1202, d0.loss_cls: 2.0310, d0.loss_bbox: 0.8028, d0.loss_iou: 1.1841, d1.loss_cls: 2.0002, d1.loss_bbox: 0.7839, d1.loss_iou: 1.1611, d2.loss_cls: 1.9662, d2.loss_bbox: 0.7681, d2.loss_iou: 1.1396, d3.loss_cls: 1.9461, d3.loss_bbox: 0.7581, d3.loss_iou: 1.1288, d4.loss_cls: 1.9332, d4.loss_bbox: 0.7522, d4.loss_iou: 1.1222, loss: 23.2734, grad_norm: 17.0937 +2022-10-26 22:07:37,248 - mmdet - INFO - Epoch [35][1250/1849] lr: 2.000e-04, eta: 1:05:00, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9194, loss_bbox: 0.7465, loss_iou: 1.1148, d0.loss_cls: 2.0323, d0.loss_bbox: 0.8017, d0.loss_iou: 1.1815, d1.loss_cls: 1.9945, d1.loss_bbox: 0.7821, d1.loss_iou: 1.1573, d2.loss_cls: 1.9600, d2.loss_bbox: 0.7651, d2.loss_iou: 1.1349, d3.loss_cls: 1.9408, d3.loss_bbox: 0.7551, d3.loss_iou: 1.1243, d4.loss_cls: 1.9277, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1179, loss: 23.2045, grad_norm: 15.2000 +2022-10-26 22:07:44,082 - mmdet - INFO - Epoch [35][1300/1849] lr: 2.000e-04, eta: 1:04:54, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9199, loss_bbox: 0.7441, loss_iou: 1.1165, d0.loss_cls: 2.0301, d0.loss_bbox: 0.7985, d0.loss_iou: 1.1837, d1.loss_cls: 1.9937, d1.loss_bbox: 0.7797, d1.loss_iou: 1.1591, d2.loss_cls: 1.9654, d2.loss_bbox: 0.7628, d2.loss_iou: 1.1367, d3.loss_cls: 1.9427, d3.loss_bbox: 0.7530, d3.loss_iou: 1.1258, d4.loss_cls: 1.9294, d4.loss_bbox: 0.7461, d4.loss_iou: 1.1193, loss: 23.2065, grad_norm: 14.6597 +2022-10-26 22:07:50,802 - mmdet - INFO - Epoch [35][1350/1849] lr: 2.000e-04, eta: 1:04:47, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9186, loss_bbox: 0.7464, loss_iou: 1.1156, d0.loss_cls: 2.0300, d0.loss_bbox: 0.8020, d0.loss_iou: 1.1834, d1.loss_cls: 1.9909, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1589, d2.loss_cls: 1.9597, d2.loss_bbox: 0.7648, d2.loss_iou: 1.1365, d3.loss_cls: 1.9401, d3.loss_bbox: 0.7544, d3.loss_iou: 1.1260, d4.loss_cls: 1.9282, d4.loss_bbox: 0.7483, d4.loss_iou: 1.1183, loss: 23.2045, grad_norm: 15.4353 +2022-10-26 22:07:57,702 - mmdet - INFO - Epoch [35][1400/1849] lr: 2.000e-04, eta: 1:04:40, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9313, loss_bbox: 0.7491, loss_iou: 1.1186, d0.loss_cls: 2.0380, d0.loss_bbox: 0.8039, d0.loss_iou: 1.1868, d1.loss_cls: 2.0034, d1.loss_bbox: 0.7831, d1.loss_iou: 1.1619, d2.loss_cls: 1.9726, d2.loss_bbox: 0.7668, d2.loss_iou: 1.1398, d3.loss_cls: 1.9526, d3.loss_bbox: 0.7562, d3.loss_iou: 1.1293, d4.loss_cls: 1.9391, d4.loss_bbox: 0.7506, d4.loss_iou: 1.1219, loss: 23.3049, grad_norm: 16.8487 +2022-10-26 22:08:04,599 - mmdet - INFO - Epoch [35][1450/1849] lr: 2.000e-04, eta: 1:04:33, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9169, loss_bbox: 0.7473, loss_iou: 1.1146, d0.loss_cls: 2.0326, d0.loss_bbox: 0.8018, d0.loss_iou: 1.1827, d1.loss_cls: 1.9958, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1580, d2.loss_cls: 1.9620, d2.loss_bbox: 0.7648, d2.loss_iou: 1.1350, d3.loss_cls: 1.9431, d3.loss_bbox: 0.7550, d3.loss_iou: 1.1241, d4.loss_cls: 1.9262, d4.loss_bbox: 0.7491, d4.loss_iou: 1.1174, loss: 23.2081, grad_norm: 16.3189 +2022-10-26 22:08:11,476 - mmdet - INFO - Epoch [35][1500/1849] lr: 2.000e-04, eta: 1:04:26, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9072, loss_bbox: 0.7481, loss_iou: 1.1194, d0.loss_cls: 2.0168, d0.loss_bbox: 0.8027, d0.loss_iou: 1.1864, d1.loss_cls: 1.9825, d1.loss_bbox: 0.7829, d1.loss_iou: 1.1616, d2.loss_cls: 1.9478, d2.loss_bbox: 0.7672, d2.loss_iou: 1.1394, d3.loss_cls: 1.9274, d3.loss_bbox: 0.7567, d3.loss_iou: 1.1293, d4.loss_cls: 1.9160, d4.loss_bbox: 0.7500, d4.loss_iou: 1.1220, loss: 23.1631, grad_norm: 15.2547 +2022-10-26 22:08:18,213 - mmdet - INFO - Epoch [35][1550/1849] lr: 2.000e-04, eta: 1:04:19, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9265, loss_bbox: 0.7436, loss_iou: 1.1144, d0.loss_cls: 2.0326, d0.loss_bbox: 0.8003, d0.loss_iou: 1.1838, d1.loss_cls: 1.9989, d1.loss_bbox: 0.7797, d1.loss_iou: 1.1579, d2.loss_cls: 1.9692, d2.loss_bbox: 0.7629, d2.loss_iou: 1.1354, d3.loss_cls: 1.9476, d3.loss_bbox: 0.7516, d3.loss_iou: 1.1248, d4.loss_cls: 1.9341, d4.loss_bbox: 0.7455, d4.loss_iou: 1.1172, loss: 23.2258, grad_norm: 15.3884 +2022-10-26 22:08:25,197 - mmdet - INFO - Epoch [35][1600/1849] lr: 2.000e-04, eta: 1:04:12, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9097, loss_bbox: 0.7476, loss_iou: 1.1217, d0.loss_cls: 2.0212, d0.loss_bbox: 0.8019, d0.loss_iou: 1.1869, d1.loss_cls: 1.9826, d1.loss_bbox: 0.7805, d1.loss_iou: 1.1625, d2.loss_cls: 1.9521, d2.loss_bbox: 0.7653, d2.loss_iou: 1.1407, d3.loss_cls: 1.9311, d3.loss_bbox: 0.7555, d3.loss_iou: 1.1308, d4.loss_cls: 1.9180, d4.loss_bbox: 0.7502, d4.loss_iou: 1.1241, loss: 23.1824, grad_norm: 16.0890 +2022-10-26 22:08:32,260 - mmdet - INFO - Epoch [35][1650/1849] lr: 2.000e-04, eta: 1:04:05, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9170, loss_bbox: 0.7470, loss_iou: 1.1225, d0.loss_cls: 2.0270, d0.loss_bbox: 0.8004, d0.loss_iou: 1.1884, d1.loss_cls: 1.9903, d1.loss_bbox: 0.7810, d1.loss_iou: 1.1643, d2.loss_cls: 1.9586, d2.loss_bbox: 0.7651, d2.loss_iou: 1.1434, d3.loss_cls: 1.9396, d3.loss_bbox: 0.7548, d3.loss_iou: 1.1317, d4.loss_cls: 1.9250, d4.loss_bbox: 0.7487, d4.loss_iou: 1.1249, loss: 23.2297, grad_norm: 18.2341 +2022-10-26 22:08:39,143 - mmdet - INFO - Epoch [35][1700/1849] lr: 2.000e-04, eta: 1:03:58, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9084, loss_bbox: 0.7452, loss_iou: 1.1149, d0.loss_cls: 2.0158, d0.loss_bbox: 0.8004, d0.loss_iou: 1.1826, d1.loss_cls: 1.9836, d1.loss_bbox: 0.7807, d1.loss_iou: 1.1579, d2.loss_cls: 1.9533, d2.loss_bbox: 0.7629, d2.loss_iou: 1.1356, d3.loss_cls: 1.9318, d3.loss_bbox: 0.7535, d3.loss_iou: 1.1244, d4.loss_cls: 1.9164, d4.loss_bbox: 0.7475, d4.loss_iou: 1.1173, loss: 23.1320, grad_norm: 15.5002 +2022-10-26 22:08:45,965 - mmdet - INFO - Epoch [35][1750/1849] lr: 2.000e-04, eta: 1:03:52, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9171, loss_bbox: 0.7448, loss_iou: 1.1132, d0.loss_cls: 2.0266, d0.loss_bbox: 0.8009, d0.loss_iou: 1.1821, d1.loss_cls: 1.9953, d1.loss_bbox: 0.7799, d1.loss_iou: 1.1558, d2.loss_cls: 1.9588, d2.loss_bbox: 0.7634, d2.loss_iou: 1.1335, d3.loss_cls: 1.9429, d3.loss_bbox: 0.7532, d3.loss_iou: 1.1220, d4.loss_cls: 1.9262, d4.loss_bbox: 0.7470, d4.loss_iou: 1.1158, loss: 23.1785, grad_norm: 15.7657 +2022-10-26 22:08:52,859 - mmdet - INFO - Epoch [35][1800/1849] lr: 2.000e-04, eta: 1:03:45, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9241, loss_bbox: 0.7472, loss_iou: 1.1161, d0.loss_cls: 2.0357, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1819, d1.loss_cls: 1.9989, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1573, d2.loss_cls: 1.9674, d2.loss_bbox: 0.7650, d2.loss_iou: 1.1353, d3.loss_cls: 1.9451, d3.loss_bbox: 0.7550, d3.loss_iou: 1.1253, d4.loss_cls: 1.9320, d4.loss_bbox: 0.7488, d4.loss_iou: 1.1186, loss: 23.2369, grad_norm: 16.1131 +2022-10-26 22:08:59,792 - mmdet - INFO - Saving checkpoint at 35 epochs +2022-10-26 22:09:10,662 - mmdet - INFO - Epoch [36][50/1849] lr: 2.000e-04, eta: 1:03:30, time: 0.204, data_time: 0.064, memory: 4401, loss_cls: 1.9159, loss_bbox: 0.7486, loss_iou: 1.1194, d0.loss_cls: 2.0270, d0.loss_bbox: 0.8033, d0.loss_iou: 1.1870, d1.loss_cls: 1.9901, d1.loss_bbox: 0.7835, d1.loss_iou: 1.1616, d2.loss_cls: 1.9578, d2.loss_bbox: 0.7668, d2.loss_iou: 1.1395, d3.loss_cls: 1.9383, d3.loss_bbox: 0.7574, d3.loss_iou: 1.1288, d4.loss_cls: 1.9232, d4.loss_bbox: 0.7507, d4.loss_iou: 1.1220, loss: 23.2209, grad_norm: 15.5256 +2022-10-26 22:09:17,628 - mmdet - INFO - Epoch [36][100/1849] lr: 2.000e-04, eta: 1:03:23, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9179, loss_bbox: 0.7456, loss_iou: 1.1189, d0.loss_cls: 2.0285, d0.loss_bbox: 0.8021, d0.loss_iou: 1.1870, d1.loss_cls: 1.9950, d1.loss_bbox: 0.7801, d1.loss_iou: 1.1625, d2.loss_cls: 1.9632, d2.loss_bbox: 0.7640, d2.loss_iou: 1.1389, d3.loss_cls: 1.9389, d3.loss_bbox: 0.7535, d3.loss_iou: 1.1292, d4.loss_cls: 1.9261, d4.loss_bbox: 0.7480, d4.loss_iou: 1.1216, loss: 23.2211, grad_norm: 14.2744 +2022-10-26 22:09:24,652 - mmdet - INFO - Epoch [36][150/1849] lr: 2.000e-04, eta: 1:03:16, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9161, loss_bbox: 0.7452, loss_iou: 1.1156, d0.loss_cls: 2.0301, d0.loss_bbox: 0.7995, d0.loss_iou: 1.1840, d1.loss_cls: 1.9963, d1.loss_bbox: 0.7803, d1.loss_iou: 1.1573, d2.loss_cls: 1.9617, d2.loss_bbox: 0.7637, d2.loss_iou: 1.1350, d3.loss_cls: 1.9402, d3.loss_bbox: 0.7532, d3.loss_iou: 1.1252, d4.loss_cls: 1.9261, d4.loss_bbox: 0.7471, d4.loss_iou: 1.1184, loss: 23.1951, grad_norm: 15.8840 +2022-10-26 22:09:31,628 - mmdet - INFO - Epoch [36][200/1849] lr: 2.000e-04, eta: 1:03:09, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9097, loss_bbox: 0.7460, loss_iou: 1.1148, d0.loss_cls: 2.0209, d0.loss_bbox: 0.8017, d0.loss_iou: 1.1832, d1.loss_cls: 1.9857, d1.loss_bbox: 0.7817, d1.loss_iou: 1.1582, d2.loss_cls: 1.9520, d2.loss_bbox: 0.7650, d2.loss_iou: 1.1351, d3.loss_cls: 1.9316, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1252, d4.loss_cls: 1.9176, d4.loss_bbox: 0.7483, d4.loss_iou: 1.1178, loss: 23.1489, grad_norm: 14.5644 +2022-10-26 22:09:38,690 - mmdet - INFO - Epoch [36][250/1849] lr: 2.000e-04, eta: 1:03:02, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9142, loss_bbox: 0.7428, loss_iou: 1.1134, d0.loss_cls: 2.0255, d0.loss_bbox: 0.7982, d0.loss_iou: 1.1825, d1.loss_cls: 1.9916, d1.loss_bbox: 0.7786, d1.loss_iou: 1.1561, d2.loss_cls: 1.9565, d2.loss_bbox: 0.7616, d2.loss_iou: 1.1337, d3.loss_cls: 1.9351, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1232, d4.loss_cls: 1.9223, d4.loss_bbox: 0.7446, d4.loss_iou: 1.1159, loss: 23.1470, grad_norm: 15.8574 +2022-10-26 22:09:45,817 - mmdet - INFO - Epoch [36][300/1849] lr: 2.000e-04, eta: 1:02:56, time: 0.142, data_time: 0.006, memory: 4401, loss_cls: 1.9204, loss_bbox: 0.7464, loss_iou: 1.1192, d0.loss_cls: 2.0347, d0.loss_bbox: 0.8014, d0.loss_iou: 1.1859, d1.loss_cls: 1.9979, d1.loss_bbox: 0.7805, d1.loss_iou: 1.1601, d2.loss_cls: 1.9646, d2.loss_bbox: 0.7649, d2.loss_iou: 1.1378, d3.loss_cls: 1.9452, d3.loss_bbox: 0.7545, d3.loss_iou: 1.1287, d4.loss_cls: 1.9296, d4.loss_bbox: 0.7483, d4.loss_iou: 1.1221, loss: 23.2420, grad_norm: 16.0654 +2022-10-26 22:09:52,809 - mmdet - INFO - Epoch [36][350/1849] lr: 2.000e-04, eta: 1:02:49, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9127, loss_bbox: 0.7469, loss_iou: 1.1085, d0.loss_cls: 2.0227, d0.loss_bbox: 0.8029, d0.loss_iou: 1.1755, d1.loss_cls: 1.9874, d1.loss_bbox: 0.7819, d1.loss_iou: 1.1510, d2.loss_cls: 1.9553, d2.loss_bbox: 0.7656, d2.loss_iou: 1.1289, d3.loss_cls: 1.9343, d3.loss_bbox: 0.7559, d3.loss_iou: 1.1175, d4.loss_cls: 1.9203, d4.loss_bbox: 0.7492, d4.loss_iou: 1.1107, loss: 23.1273, grad_norm: 16.6111 +2022-10-26 22:09:59,948 - mmdet - INFO - Epoch [36][400/1849] lr: 2.000e-04, eta: 1:02:42, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9238, loss_bbox: 0.7496, loss_iou: 1.1182, d0.loss_cls: 2.0347, d0.loss_bbox: 0.8035, d0.loss_iou: 1.1857, d1.loss_cls: 2.0006, d1.loss_bbox: 0.7837, d1.loss_iou: 1.1609, d2.loss_cls: 1.9678, d2.loss_bbox: 0.7676, d2.loss_iou: 1.1384, d3.loss_cls: 1.9456, d3.loss_bbox: 0.7576, d3.loss_iou: 1.1278, d4.loss_cls: 1.9326, d4.loss_bbox: 0.7512, d4.loss_iou: 1.1205, loss: 23.2697, grad_norm: 14.2270 +2022-10-26 22:10:06,886 - mmdet - INFO - Epoch [36][450/1849] lr: 2.000e-04, eta: 1:02:35, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9158, loss_bbox: 0.7472, loss_iou: 1.1231, d0.loss_cls: 2.0239, d0.loss_bbox: 0.8001, d0.loss_iou: 1.1890, d1.loss_cls: 1.9924, d1.loss_bbox: 0.7821, d1.loss_iou: 1.1652, d2.loss_cls: 1.9591, d2.loss_bbox: 0.7662, d2.loss_iou: 1.1428, d3.loss_cls: 1.9391, d3.loss_bbox: 0.7556, d3.loss_iou: 1.1314, d4.loss_cls: 1.9253, d4.loss_bbox: 0.7496, d4.loss_iou: 1.1253, loss: 23.2331, grad_norm: 16.2222 +2022-10-26 22:10:13,703 - mmdet - INFO - Epoch [36][500/1849] lr: 2.000e-04, eta: 1:02:28, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9053, loss_bbox: 0.7420, loss_iou: 1.1103, d0.loss_cls: 2.0177, d0.loss_bbox: 0.7980, d0.loss_iou: 1.1789, d1.loss_cls: 1.9839, d1.loss_bbox: 0.7781, d1.loss_iou: 1.1544, d2.loss_cls: 1.9513, d2.loss_bbox: 0.7612, d2.loss_iou: 1.1306, d3.loss_cls: 1.9290, d3.loss_bbox: 0.7508, d3.loss_iou: 1.1199, d4.loss_cls: 1.9141, d4.loss_bbox: 0.7444, d4.loss_iou: 1.1130, loss: 23.0829, grad_norm: 14.9317 +2022-10-26 22:10:20,753 - mmdet - INFO - Epoch [36][550/1849] lr: 2.000e-04, eta: 1:02:21, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9279, loss_bbox: 0.7502, loss_iou: 1.1202, d0.loss_cls: 2.0368, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1857, d1.loss_cls: 2.0038, d1.loss_bbox: 0.7847, d1.loss_iou: 1.1615, d2.loss_cls: 1.9691, d2.loss_bbox: 0.7686, d2.loss_iou: 1.1393, d3.loss_cls: 1.9505, d3.loss_bbox: 0.7588, d3.loss_iou: 1.1292, d4.loss_cls: 1.9357, d4.loss_bbox: 0.7529, d4.loss_iou: 1.1223, loss: 23.3011, grad_norm: 16.1572 +2022-10-26 22:10:27,703 - mmdet - INFO - Epoch [36][600/1849] lr: 2.000e-04, eta: 1:02:14, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9142, loss_bbox: 0.7433, loss_iou: 1.1127, d0.loss_cls: 2.0221, d0.loss_bbox: 0.7977, d0.loss_iou: 1.1789, d1.loss_cls: 1.9885, d1.loss_bbox: 0.7782, d1.loss_iou: 1.1551, d2.loss_cls: 1.9542, d2.loss_bbox: 0.7621, d2.loss_iou: 1.1337, d3.loss_cls: 1.9362, d3.loss_bbox: 0.7521, d3.loss_iou: 1.1223, d4.loss_cls: 1.9206, d4.loss_bbox: 0.7458, d4.loss_iou: 1.1151, loss: 23.1328, grad_norm: 14.1575 +2022-10-26 22:10:34,647 - mmdet - INFO - Epoch [36][650/1849] lr: 2.000e-04, eta: 1:02:08, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9139, loss_bbox: 0.7444, loss_iou: 1.1163, d0.loss_cls: 2.0272, d0.loss_bbox: 0.7980, d0.loss_iou: 1.1828, d1.loss_cls: 1.9915, d1.loss_bbox: 0.7784, d1.loss_iou: 1.1576, d2.loss_cls: 1.9595, d2.loss_bbox: 0.7622, d2.loss_iou: 1.1354, d3.loss_cls: 1.9369, d3.loss_bbox: 0.7527, d3.loss_iou: 1.1249, d4.loss_cls: 1.9233, d4.loss_bbox: 0.7462, d4.loss_iou: 1.1185, loss: 23.1696, grad_norm: 14.6757 +2022-10-26 22:10:41,916 - mmdet - INFO - Epoch [36][700/1849] lr: 2.000e-04, eta: 1:02:01, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9334, loss_bbox: 0.7481, loss_iou: 1.1206, d0.loss_cls: 2.0417, d0.loss_bbox: 0.8017, d0.loss_iou: 1.1866, d1.loss_cls: 2.0072, d1.loss_bbox: 0.7831, d1.loss_iou: 1.1631, d2.loss_cls: 1.9763, d2.loss_bbox: 0.7675, d2.loss_iou: 1.1405, d3.loss_cls: 1.9559, d3.loss_bbox: 0.7572, d3.loss_iou: 1.1300, d4.loss_cls: 1.9409, d4.loss_bbox: 0.7507, d4.loss_iou: 1.1236, loss: 23.3281, grad_norm: 15.5632 +2022-10-26 22:10:48,760 - mmdet - INFO - Epoch [36][750/1849] lr: 2.000e-04, eta: 1:01:54, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9148, loss_bbox: 0.7472, loss_iou: 1.1187, d0.loss_cls: 2.0220, d0.loss_bbox: 0.8023, d0.loss_iou: 1.1873, d1.loss_cls: 1.9888, d1.loss_bbox: 0.7826, d1.loss_iou: 1.1604, d2.loss_cls: 1.9580, d2.loss_bbox: 0.7658, d2.loss_iou: 1.1372, d3.loss_cls: 1.9385, d3.loss_bbox: 0.7561, d3.loss_iou: 1.1278, d4.loss_cls: 1.9238, d4.loss_bbox: 0.7492, d4.loss_iou: 1.1218, loss: 23.2024, grad_norm: 15.5851 +2022-10-26 22:10:55,631 - mmdet - INFO - Epoch [36][800/1849] lr: 2.000e-04, eta: 1:01:47, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9096, loss_bbox: 0.7390, loss_iou: 1.1153, d0.loss_cls: 2.0171, d0.loss_bbox: 0.7926, d0.loss_iou: 1.1818, d1.loss_cls: 1.9832, d1.loss_bbox: 0.7745, d1.loss_iou: 1.1574, d2.loss_cls: 1.9524, d2.loss_bbox: 0.7577, d2.loss_iou: 1.1347, d3.loss_cls: 1.9304, d3.loss_bbox: 0.7473, d3.loss_iou: 1.1248, d4.loss_cls: 1.9179, d4.loss_bbox: 0.7410, d4.loss_iou: 1.1178, loss: 23.0942, grad_norm: 16.4176 +2022-10-26 22:11:02,636 - mmdet - INFO - Epoch [36][850/1849] lr: 2.000e-04, eta: 1:01:40, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9176, loss_bbox: 0.7458, loss_iou: 1.1160, d0.loss_cls: 2.0242, d0.loss_bbox: 0.7987, d0.loss_iou: 1.1829, d1.loss_cls: 1.9930, d1.loss_bbox: 0.7796, d1.loss_iou: 1.1582, d2.loss_cls: 1.9588, d2.loss_bbox: 0.7645, d2.loss_iou: 1.1357, d3.loss_cls: 1.9399, d3.loss_bbox: 0.7538, d3.loss_iou: 1.1261, d4.loss_cls: 1.9252, d4.loss_bbox: 0.7482, d4.loss_iou: 1.1187, loss: 23.1872, grad_norm: 15.8392 +2022-10-26 22:11:09,667 - mmdet - INFO - Epoch [36][900/1849] lr: 2.000e-04, eta: 1:01:33, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9200, loss_bbox: 0.7465, loss_iou: 1.1194, d0.loss_cls: 2.0332, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1874, d1.loss_cls: 1.9993, d1.loss_bbox: 0.7816, d1.loss_iou: 1.1613, d2.loss_cls: 1.9644, d2.loss_bbox: 0.7649, d2.loss_iou: 1.1381, d3.loss_cls: 1.9429, d3.loss_bbox: 0.7545, d3.loss_iou: 1.1284, d4.loss_cls: 1.9290, d4.loss_bbox: 0.7491, d4.loss_iou: 1.1217, loss: 23.2429, grad_norm: 15.5505 +2022-10-26 22:11:16,682 - mmdet - INFO - Epoch [36][950/1849] lr: 2.000e-04, eta: 1:01:27, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9161, loss_bbox: 0.7494, loss_iou: 1.1201, d0.loss_cls: 2.0290, d0.loss_bbox: 0.8035, d0.loss_iou: 1.1858, d1.loss_cls: 1.9938, d1.loss_bbox: 0.7838, d1.loss_iou: 1.1618, d2.loss_cls: 1.9610, d2.loss_bbox: 0.7671, d2.loss_iou: 1.1403, d3.loss_cls: 1.9395, d3.loss_bbox: 0.7569, d3.loss_iou: 1.1296, d4.loss_cls: 1.9248, d4.loss_bbox: 0.7515, d4.loss_iou: 1.1223, loss: 23.2362, grad_norm: 14.3155 +2022-10-26 22:11:23,602 - mmdet - INFO - Epoch [36][1000/1849] lr: 2.000e-04, eta: 1:01:20, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9108, loss_bbox: 0.7476, loss_iou: 1.1191, d0.loss_cls: 2.0212, d0.loss_bbox: 0.8021, d0.loss_iou: 1.1876, d1.loss_cls: 1.9890, d1.loss_bbox: 0.7813, d1.loss_iou: 1.1620, d2.loss_cls: 1.9598, d2.loss_bbox: 0.7645, d2.loss_iou: 1.1400, d3.loss_cls: 1.9352, d3.loss_bbox: 0.7550, d3.loss_iou: 1.1290, d4.loss_cls: 1.9198, d4.loss_bbox: 0.7492, d4.loss_iou: 1.1218, loss: 23.1950, grad_norm: 15.1778 +2022-10-26 22:11:30,684 - mmdet - INFO - Epoch [36][1050/1849] lr: 2.000e-04, eta: 1:01:13, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9152, loss_bbox: 0.7497, loss_iou: 1.1212, d0.loss_cls: 2.0251, d0.loss_bbox: 0.8036, d0.loss_iou: 1.1870, d1.loss_cls: 1.9917, d1.loss_bbox: 0.7846, d1.loss_iou: 1.1630, d2.loss_cls: 1.9578, d2.loss_bbox: 0.7684, d2.loss_iou: 1.1406, d3.loss_cls: 1.9373, d3.loss_bbox: 0.7585, d3.loss_iou: 1.1301, d4.loss_cls: 1.9222, d4.loss_bbox: 0.7518, d4.loss_iou: 1.1240, loss: 23.2320, grad_norm: 16.7459 +2022-10-26 22:11:37,686 - mmdet - INFO - Epoch [36][1100/1849] lr: 2.000e-04, eta: 1:01:06, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9186, loss_bbox: 0.7475, loss_iou: 1.1173, d0.loss_cls: 2.0288, d0.loss_bbox: 0.8018, d0.loss_iou: 1.1836, d1.loss_cls: 1.9958, d1.loss_bbox: 0.7813, d1.loss_iou: 1.1600, d2.loss_cls: 1.9641, d2.loss_bbox: 0.7646, d2.loss_iou: 1.1378, d3.loss_cls: 1.9412, d3.loss_bbox: 0.7553, d3.loss_iou: 1.1272, d4.loss_cls: 1.9289, d4.loss_bbox: 0.7493, d4.loss_iou: 1.1197, loss: 23.2227, grad_norm: 17.4520 +2022-10-26 22:11:44,703 - mmdet - INFO - Epoch [36][1150/1849] lr: 2.000e-04, eta: 1:00:59, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9120, loss_bbox: 0.7438, loss_iou: 1.1148, d0.loss_cls: 2.0195, d0.loss_bbox: 0.7976, d0.loss_iou: 1.1806, d1.loss_cls: 1.9851, d1.loss_bbox: 0.7777, d1.loss_iou: 1.1563, d2.loss_cls: 1.9556, d2.loss_bbox: 0.7620, d2.loss_iou: 1.1343, d3.loss_cls: 1.9326, d3.loss_bbox: 0.7526, d3.loss_iou: 1.1238, d4.loss_cls: 1.9207, d4.loss_bbox: 0.7466, d4.loss_iou: 1.1175, loss: 23.1332, grad_norm: 15.5134 +2022-10-26 22:11:51,771 - mmdet - INFO - Epoch [36][1200/1849] lr: 2.000e-04, eta: 1:00:52, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9175, loss_bbox: 0.7422, loss_iou: 1.1113, d0.loss_cls: 2.0245, d0.loss_bbox: 0.7977, d0.loss_iou: 1.1803, d1.loss_cls: 1.9934, d1.loss_bbox: 0.7779, d1.loss_iou: 1.1546, d2.loss_cls: 1.9624, d2.loss_bbox: 0.7615, d2.loss_iou: 1.1310, d3.loss_cls: 1.9409, d3.loss_bbox: 0.7512, d3.loss_iou: 1.1200, d4.loss_cls: 1.9274, d4.loss_bbox: 0.7444, d4.loss_iou: 1.1134, loss: 23.1515, grad_norm: 15.6124 +2022-10-26 22:11:58,824 - mmdet - INFO - Epoch [36][1250/1849] lr: 2.000e-04, eta: 1:00:46, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9224, loss_bbox: 0.7452, loss_iou: 1.1183, d0.loss_cls: 2.0338, d0.loss_bbox: 0.8014, d0.loss_iou: 1.1857, d1.loss_cls: 2.0016, d1.loss_bbox: 0.7808, d1.loss_iou: 1.1607, d2.loss_cls: 1.9670, d2.loss_bbox: 0.7644, d2.loss_iou: 1.1385, d3.loss_cls: 1.9455, d3.loss_bbox: 0.7537, d3.loss_iou: 1.1273, d4.loss_cls: 1.9306, d4.loss_bbox: 0.7471, d4.loss_iou: 1.1210, loss: 23.2451, grad_norm: 17.2565 +2022-10-26 22:12:05,920 - mmdet - INFO - Epoch [36][1300/1849] lr: 2.000e-04, eta: 1:00:39, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9215, loss_bbox: 0.7411, loss_iou: 1.1149, d0.loss_cls: 2.0294, d0.loss_bbox: 0.7967, d0.loss_iou: 1.1827, d1.loss_cls: 1.9952, d1.loss_bbox: 0.7760, d1.loss_iou: 1.1576, d2.loss_cls: 1.9650, d2.loss_bbox: 0.7594, d2.loss_iou: 1.1343, d3.loss_cls: 1.9436, d3.loss_bbox: 0.7493, d3.loss_iou: 1.1243, d4.loss_cls: 1.9297, d4.loss_bbox: 0.7433, d4.loss_iou: 1.1170, loss: 23.1810, grad_norm: 14.9793 +2022-10-26 22:12:12,821 - mmdet - INFO - Epoch [36][1350/1849] lr: 2.000e-04, eta: 1:00:32, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9200, loss_bbox: 0.7486, loss_iou: 1.1190, d0.loss_cls: 2.0285, d0.loss_bbox: 0.8031, d0.loss_iou: 1.1862, d1.loss_cls: 1.9940, d1.loss_bbox: 0.7845, d1.loss_iou: 1.1604, d2.loss_cls: 1.9630, d2.loss_bbox: 0.7681, d2.loss_iou: 1.1385, d3.loss_cls: 1.9426, d3.loss_bbox: 0.7580, d3.loss_iou: 1.1277, d4.loss_cls: 1.9276, d4.loss_bbox: 0.7510, d4.loss_iou: 1.1214, loss: 23.2422, grad_norm: 13.7062 +2022-10-26 22:12:19,920 - mmdet - INFO - Epoch [36][1400/1849] lr: 2.000e-04, eta: 1:00:25, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9225, loss_bbox: 0.7444, loss_iou: 1.1209, d0.loss_cls: 2.0310, d0.loss_bbox: 0.7975, d0.loss_iou: 1.1881, d1.loss_cls: 1.9971, d1.loss_bbox: 0.7781, d1.loss_iou: 1.1632, d2.loss_cls: 1.9644, d2.loss_bbox: 0.7611, d2.loss_iou: 1.1406, d3.loss_cls: 1.9452, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1303, d4.loss_cls: 1.9327, d4.loss_bbox: 0.7458, d4.loss_iou: 1.1235, loss: 23.2378, grad_norm: 16.9027 +2022-10-26 22:12:26,939 - mmdet - INFO - Epoch [36][1450/1849] lr: 2.000e-04, eta: 1:00:18, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9256, loss_bbox: 0.7455, loss_iou: 1.1149, d0.loss_cls: 2.0377, d0.loss_bbox: 0.8008, d0.loss_iou: 1.1832, d1.loss_cls: 2.0012, d1.loss_bbox: 0.7810, d1.loss_iou: 1.1584, d2.loss_cls: 1.9688, d2.loss_bbox: 0.7641, d2.loss_iou: 1.1351, d3.loss_cls: 1.9502, d3.loss_bbox: 0.7540, d3.loss_iou: 1.1237, d4.loss_cls: 1.9348, d4.loss_bbox: 0.7479, d4.loss_iou: 1.1170, loss: 23.2440, grad_norm: 16.0749 +2022-10-26 22:12:33,973 - mmdet - INFO - Epoch [36][1500/1849] lr: 2.000e-04, eta: 1:00:12, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9141, loss_bbox: 0.7430, loss_iou: 1.1173, d0.loss_cls: 2.0213, d0.loss_bbox: 0.7972, d0.loss_iou: 1.1831, d1.loss_cls: 1.9883, d1.loss_bbox: 0.7779, d1.loss_iou: 1.1603, d2.loss_cls: 1.9578, d2.loss_bbox: 0.7613, d2.loss_iou: 1.1375, d3.loss_cls: 1.9380, d3.loss_bbox: 0.7514, d3.loss_iou: 1.1265, d4.loss_cls: 1.9246, d4.loss_bbox: 0.7453, d4.loss_iou: 1.1200, loss: 23.1651, grad_norm: 16.4192 +2022-10-26 22:12:40,974 - mmdet - INFO - Epoch [36][1550/1849] lr: 2.000e-04, eta: 1:00:05, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9197, loss_bbox: 0.7490, loss_iou: 1.1146, d0.loss_cls: 2.0290, d0.loss_bbox: 0.8039, d0.loss_iou: 1.1811, d1.loss_cls: 1.9912, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1578, d2.loss_cls: 1.9613, d2.loss_bbox: 0.7676, d2.loss_iou: 1.1350, d3.loss_cls: 1.9400, d3.loss_bbox: 0.7570, d3.loss_iou: 1.1245, d4.loss_cls: 1.9276, d4.loss_bbox: 0.7510, d4.loss_iou: 1.1174, loss: 23.2119, grad_norm: 15.1399 +2022-10-26 22:12:47,812 - mmdet - INFO - Epoch [36][1600/1849] lr: 2.000e-04, eta: 0:59:58, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9131, loss_bbox: 0.7418, loss_iou: 1.1106, d0.loss_cls: 2.0238, d0.loss_bbox: 0.7972, d0.loss_iou: 1.1779, d1.loss_cls: 1.9873, d1.loss_bbox: 0.7782, d1.loss_iou: 1.1539, d2.loss_cls: 1.9570, d2.loss_bbox: 0.7612, d2.loss_iou: 1.1308, d3.loss_cls: 1.9363, d3.loss_bbox: 0.7501, d3.loss_iou: 1.1202, d4.loss_cls: 1.9218, d4.loss_bbox: 0.7436, d4.loss_iou: 1.1133, loss: 23.1181, grad_norm: 15.0435 +2022-10-26 22:12:54,782 - mmdet - INFO - Epoch [36][1650/1849] lr: 2.000e-04, eta: 0:59:51, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9144, loss_bbox: 0.7455, loss_iou: 1.1119, d0.loss_cls: 2.0242, d0.loss_bbox: 0.7991, d0.loss_iou: 1.1799, d1.loss_cls: 1.9901, d1.loss_bbox: 0.7797, d1.loss_iou: 1.1561, d2.loss_cls: 1.9570, d2.loss_bbox: 0.7629, d2.loss_iou: 1.1329, d3.loss_cls: 1.9368, d3.loss_bbox: 0.7533, d3.loss_iou: 1.1222, d4.loss_cls: 1.9233, d4.loss_bbox: 0.7477, d4.loss_iou: 1.1146, loss: 23.1517, grad_norm: 16.9329 +2022-10-26 22:13:01,831 - mmdet - INFO - Epoch [36][1700/1849] lr: 2.000e-04, eta: 0:59:44, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9189, loss_bbox: 0.7396, loss_iou: 1.1102, d0.loss_cls: 2.0283, d0.loss_bbox: 0.7948, d0.loss_iou: 1.1804, d1.loss_cls: 1.9950, d1.loss_bbox: 0.7745, d1.loss_iou: 1.1546, d2.loss_cls: 1.9595, d2.loss_bbox: 0.7573, d2.loss_iou: 1.1312, d3.loss_cls: 1.9397, d3.loss_bbox: 0.7473, d3.loss_iou: 1.1202, d4.loss_cls: 1.9260, d4.loss_bbox: 0.7418, d4.loss_iou: 1.1131, loss: 23.1324, grad_norm: 15.5266 +2022-10-26 22:13:08,886 - mmdet - INFO - Epoch [36][1750/1849] lr: 2.000e-04, eta: 0:59:37, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9160, loss_bbox: 0.7476, loss_iou: 1.1125, d0.loss_cls: 2.0258, d0.loss_bbox: 0.8011, d0.loss_iou: 1.1794, d1.loss_cls: 1.9906, d1.loss_bbox: 0.7825, d1.loss_iou: 1.1556, d2.loss_cls: 1.9600, d2.loss_bbox: 0.7657, d2.loss_iou: 1.1323, d3.loss_cls: 1.9379, d3.loss_bbox: 0.7562, d3.loss_iou: 1.1217, d4.loss_cls: 1.9250, d4.loss_bbox: 0.7500, d4.loss_iou: 1.1153, loss: 23.1751, grad_norm: 14.7885 +2022-10-26 22:13:16,093 - mmdet - INFO - Epoch [36][1800/1849] lr: 2.000e-04, eta: 0:59:31, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9189, loss_bbox: 0.7445, loss_iou: 1.1168, d0.loss_cls: 2.0308, d0.loss_bbox: 0.7995, d0.loss_iou: 1.1838, d1.loss_cls: 1.9953, d1.loss_bbox: 0.7799, d1.loss_iou: 1.1602, d2.loss_cls: 1.9620, d2.loss_bbox: 0.7627, d2.loss_iou: 1.1375, d3.loss_cls: 1.9411, d3.loss_bbox: 0.7525, d3.loss_iou: 1.1267, d4.loss_cls: 1.9258, d4.loss_bbox: 0.7466, d4.loss_iou: 1.1200, loss: 23.2045, grad_norm: 15.3070 +2022-10-26 22:13:22,991 - mmdet - INFO - Saving checkpoint at 36 epochs +2022-10-26 22:13:34,014 - mmdet - INFO - Epoch [37][50/1849] lr: 2.000e-04, eta: 0:59:16, time: 0.208, data_time: 0.065, memory: 4401, loss_cls: 1.9076, loss_bbox: 0.7414, loss_iou: 1.1110, d0.loss_cls: 2.0224, d0.loss_bbox: 0.7967, d0.loss_iou: 1.1780, d1.loss_cls: 1.9880, d1.loss_bbox: 0.7758, d1.loss_iou: 1.1536, d2.loss_cls: 1.9512, d2.loss_bbox: 0.7593, d2.loss_iou: 1.1317, d3.loss_cls: 1.9323, d3.loss_bbox: 0.7494, d3.loss_iou: 1.1208, d4.loss_cls: 1.9164, d4.loss_bbox: 0.7437, d4.loss_iou: 1.1142, loss: 23.0936, grad_norm: 16.6376 +2022-10-26 22:13:41,230 - mmdet - INFO - Epoch [37][100/1849] lr: 2.000e-04, eta: 0:59:09, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9103, loss_bbox: 0.7449, loss_iou: 1.1161, d0.loss_cls: 2.0238, d0.loss_bbox: 0.7984, d0.loss_iou: 1.1830, d1.loss_cls: 1.9919, d1.loss_bbox: 0.7798, d1.loss_iou: 1.1587, d2.loss_cls: 1.9576, d2.loss_bbox: 0.7635, d2.loss_iou: 1.1370, d3.loss_cls: 1.9335, d3.loss_bbox: 0.7536, d3.loss_iou: 1.1264, d4.loss_cls: 1.9192, d4.loss_bbox: 0.7473, d4.loss_iou: 1.1186, loss: 23.1637, grad_norm: 15.9407 +2022-10-26 22:13:48,587 - mmdet - INFO - Epoch [37][150/1849] lr: 2.000e-04, eta: 0:59:02, time: 0.147, data_time: 0.005, memory: 4401, loss_cls: 1.8979, loss_bbox: 0.7436, loss_iou: 1.1144, d0.loss_cls: 2.0158, d0.loss_bbox: 0.7974, d0.loss_iou: 1.1817, d1.loss_cls: 1.9789, d1.loss_bbox: 0.7786, d1.loss_iou: 1.1566, d2.loss_cls: 1.9446, d2.loss_bbox: 0.7628, d2.loss_iou: 1.1341, d3.loss_cls: 1.9221, d3.loss_bbox: 0.7519, d3.loss_iou: 1.1237, d4.loss_cls: 1.9060, d4.loss_bbox: 0.7463, d4.loss_iou: 1.1163, loss: 23.0729, grad_norm: 15.0310 +2022-10-26 22:13:55,559 - mmdet - INFO - Epoch [37][200/1849] lr: 2.000e-04, eta: 0:58:55, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9244, loss_bbox: 0.7466, loss_iou: 1.1126, d0.loss_cls: 2.0396, d0.loss_bbox: 0.8027, d0.loss_iou: 1.1799, d1.loss_cls: 1.9997, d1.loss_bbox: 0.7823, d1.loss_iou: 1.1557, d2.loss_cls: 1.9690, d2.loss_bbox: 0.7645, d2.loss_iou: 1.1322, d3.loss_cls: 1.9483, d3.loss_bbox: 0.7549, d3.loss_iou: 1.1222, d4.loss_cls: 1.9334, d4.loss_bbox: 0.7490, d4.loss_iou: 1.1154, loss: 23.2324, grad_norm: 15.8268 +2022-10-26 22:14:02,602 - mmdet - INFO - Epoch [37][250/1849] lr: 2.000e-04, eta: 0:58:49, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9078, loss_bbox: 0.7461, loss_iou: 1.1165, d0.loss_cls: 2.0164, d0.loss_bbox: 0.8002, d0.loss_iou: 1.1823, d1.loss_cls: 1.9869, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1570, d2.loss_cls: 1.9536, d2.loss_bbox: 0.7642, d2.loss_iou: 1.1356, d3.loss_cls: 1.9321, d3.loss_bbox: 0.7545, d3.loss_iou: 1.1255, d4.loss_cls: 1.9156, d4.loss_bbox: 0.7485, d4.loss_iou: 1.1195, loss: 23.1440, grad_norm: 15.0725 +2022-10-26 22:14:09,609 - mmdet - INFO - Epoch [37][300/1849] lr: 2.000e-04, eta: 0:58:42, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9165, loss_bbox: 0.7456, loss_iou: 1.1191, d0.loss_cls: 2.0249, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1859, d1.loss_cls: 1.9919, d1.loss_bbox: 0.7811, d1.loss_iou: 1.1606, d2.loss_cls: 1.9586, d2.loss_bbox: 0.7631, d2.loss_iou: 1.1386, d3.loss_cls: 1.9371, d3.loss_bbox: 0.7537, d3.loss_iou: 1.1283, d4.loss_cls: 1.9246, d4.loss_bbox: 0.7477, d4.loss_iou: 1.1215, loss: 23.2000, grad_norm: 18.3561 +2022-10-26 22:14:16,601 - mmdet - INFO - Epoch [37][350/1849] lr: 2.000e-04, eta: 0:58:35, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9051, loss_bbox: 0.7486, loss_iou: 1.1172, d0.loss_cls: 2.0164, d0.loss_bbox: 0.8032, d0.loss_iou: 1.1850, d1.loss_cls: 1.9813, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1595, d2.loss_cls: 1.9511, d2.loss_bbox: 0.7678, d2.loss_iou: 1.1371, d3.loss_cls: 1.9292, d3.loss_bbox: 0.7569, d3.loss_iou: 1.1260, d4.loss_cls: 1.9131, d4.loss_bbox: 0.7510, d4.loss_iou: 1.1194, loss: 23.1522, grad_norm: 14.5691 +2022-10-26 22:14:23,427 - mmdet - INFO - Epoch [37][400/1849] lr: 2.000e-04, eta: 0:58:28, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9048, loss_bbox: 0.7438, loss_iou: 1.1169, d0.loss_cls: 2.0185, d0.loss_bbox: 0.7986, d0.loss_iou: 1.1839, d1.loss_cls: 1.9802, d1.loss_bbox: 0.7789, d1.loss_iou: 1.1577, d2.loss_cls: 1.9479, d2.loss_bbox: 0.7618, d2.loss_iou: 1.1362, d3.loss_cls: 1.9261, d3.loss_bbox: 0.7516, d3.loss_iou: 1.1261, d4.loss_cls: 1.9131, d4.loss_bbox: 0.7456, d4.loss_iou: 1.1198, loss: 23.1114, grad_norm: 14.9227 +2022-10-26 22:14:30,401 - mmdet - INFO - Epoch [37][450/1849] lr: 2.000e-04, eta: 0:58:21, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9176, loss_bbox: 0.7456, loss_iou: 1.1192, d0.loss_cls: 2.0265, d0.loss_bbox: 0.8016, d0.loss_iou: 1.1857, d1.loss_cls: 1.9943, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1613, d2.loss_cls: 1.9618, d2.loss_bbox: 0.7648, d2.loss_iou: 1.1399, d3.loss_cls: 1.9396, d3.loss_bbox: 0.7541, d3.loss_iou: 1.1288, d4.loss_cls: 1.9257, d4.loss_bbox: 0.7480, d4.loss_iou: 1.1220, loss: 23.2182, grad_norm: 15.9020 +2022-10-26 22:14:37,300 - mmdet - INFO - Epoch [37][500/1849] lr: 2.000e-04, eta: 0:58:14, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9131, loss_bbox: 0.7408, loss_iou: 1.1124, d0.loss_cls: 2.0239, d0.loss_bbox: 0.7950, d0.loss_iou: 1.1787, d1.loss_cls: 1.9915, d1.loss_bbox: 0.7752, d1.loss_iou: 1.1538, d2.loss_cls: 1.9572, d2.loss_bbox: 0.7579, d2.loss_iou: 1.1317, d3.loss_cls: 1.9373, d3.loss_bbox: 0.7481, d3.loss_iou: 1.1210, d4.loss_cls: 1.9218, d4.loss_bbox: 0.7423, d4.loss_iou: 1.1149, loss: 23.1166, grad_norm: 16.4621 +2022-10-26 22:14:44,066 - mmdet - INFO - Epoch [37][550/1849] lr: 2.000e-04, eta: 0:58:07, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9034, loss_bbox: 0.7410, loss_iou: 1.1160, d0.loss_cls: 2.0152, d0.loss_bbox: 0.7951, d0.loss_iou: 1.1833, d1.loss_cls: 1.9826, d1.loss_bbox: 0.7758, d1.loss_iou: 1.1582, d2.loss_cls: 1.9495, d2.loss_bbox: 0.7583, d2.loss_iou: 1.1363, d3.loss_cls: 1.9288, d3.loss_bbox: 0.7489, d3.loss_iou: 1.1261, d4.loss_cls: 1.9124, d4.loss_bbox: 0.7429, d4.loss_iou: 1.1194, loss: 23.0929, grad_norm: 14.1330 +2022-10-26 22:14:50,881 - mmdet - INFO - Epoch [37][600/1849] lr: 2.000e-04, eta: 0:58:00, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9184, loss_bbox: 0.7449, loss_iou: 1.1191, d0.loss_cls: 2.0282, d0.loss_bbox: 0.7996, d0.loss_iou: 1.1852, d1.loss_cls: 1.9927, d1.loss_bbox: 0.7795, d1.loss_iou: 1.1601, d2.loss_cls: 1.9607, d2.loss_bbox: 0.7635, d2.loss_iou: 1.1382, d3.loss_cls: 1.9401, d3.loss_bbox: 0.7530, d3.loss_iou: 1.1274, d4.loss_cls: 1.9276, d4.loss_bbox: 0.7464, d4.loss_iou: 1.1211, loss: 23.2058, grad_norm: 14.8611 +2022-10-26 22:14:57,860 - mmdet - INFO - Epoch [37][650/1849] lr: 2.000e-04, eta: 0:57:54, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9079, loss_bbox: 0.7408, loss_iou: 1.1161, d0.loss_cls: 2.0195, d0.loss_bbox: 0.7953, d0.loss_iou: 1.1825, d1.loss_cls: 1.9816, d1.loss_bbox: 0.7752, d1.loss_iou: 1.1576, d2.loss_cls: 1.9537, d2.loss_bbox: 0.7586, d2.loss_iou: 1.1346, d3.loss_cls: 1.9298, d3.loss_bbox: 0.7484, d3.loss_iou: 1.1246, d4.loss_cls: 1.9170, d4.loss_bbox: 0.7423, d4.loss_iou: 1.1182, loss: 23.1038, grad_norm: 16.3786 +2022-10-26 22:15:04,791 - mmdet - INFO - Epoch [37][700/1849] lr: 2.000e-04, eta: 0:57:47, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9149, loss_bbox: 0.7430, loss_iou: 1.1167, d0.loss_cls: 2.0268, d0.loss_bbox: 0.7981, d0.loss_iou: 1.1841, d1.loss_cls: 1.9911, d1.loss_bbox: 0.7776, d1.loss_iou: 1.1599, d2.loss_cls: 1.9588, d2.loss_bbox: 0.7609, d2.loss_iou: 1.1371, d3.loss_cls: 1.9385, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1267, d4.loss_cls: 1.9224, d4.loss_bbox: 0.7448, d4.loss_iou: 1.1197, loss: 23.1721, grad_norm: 15.5354 +2022-10-26 22:15:11,883 - mmdet - INFO - Epoch [37][750/1849] lr: 2.000e-04, eta: 0:57:40, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9039, loss_bbox: 0.7414, loss_iou: 1.1143, d0.loss_cls: 2.0194, d0.loss_bbox: 0.7963, d0.loss_iou: 1.1839, d1.loss_cls: 1.9818, d1.loss_bbox: 0.7759, d1.loss_iou: 1.1576, d2.loss_cls: 1.9486, d2.loss_bbox: 0.7593, d2.loss_iou: 1.1343, d3.loss_cls: 1.9275, d3.loss_bbox: 0.7490, d3.loss_iou: 1.1237, d4.loss_cls: 1.9121, d4.loss_bbox: 0.7432, d4.loss_iou: 1.1169, loss: 23.0893, grad_norm: 14.7485 +2022-10-26 22:15:19,012 - mmdet - INFO - Epoch [37][800/1849] lr: 2.000e-04, eta: 0:57:33, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9312, loss_bbox: 0.7385, loss_iou: 1.1091, d0.loss_cls: 2.0423, d0.loss_bbox: 0.7933, d0.loss_iou: 1.1781, d1.loss_cls: 2.0060, d1.loss_bbox: 0.7753, d1.loss_iou: 1.1527, d2.loss_cls: 1.9720, d2.loss_bbox: 0.7580, d2.loss_iou: 1.1294, d3.loss_cls: 1.9523, d3.loss_bbox: 0.7473, d3.loss_iou: 1.1183, d4.loss_cls: 1.9398, d4.loss_bbox: 0.7405, d4.loss_iou: 1.1123, loss: 23.1964, grad_norm: 16.2601 +2022-10-26 22:15:26,062 - mmdet - INFO - Epoch [37][850/1849] lr: 2.000e-04, eta: 0:57:26, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9182, loss_bbox: 0.7448, loss_iou: 1.1117, d0.loss_cls: 2.0246, d0.loss_bbox: 0.8008, d0.loss_iou: 1.1805, d1.loss_cls: 1.9922, d1.loss_bbox: 0.7801, d1.loss_iou: 1.1537, d2.loss_cls: 1.9614, d2.loss_bbox: 0.7634, d2.loss_iou: 1.1320, d3.loss_cls: 1.9418, d3.loss_bbox: 0.7536, d3.loss_iou: 1.1209, d4.loss_cls: 1.9260, d4.loss_bbox: 0.7469, d4.loss_iou: 1.1146, loss: 23.1671, grad_norm: 17.5297 +2022-10-26 22:15:33,041 - mmdet - INFO - Epoch [37][900/1849] lr: 2.000e-04, eta: 0:57:19, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9025, loss_bbox: 0.7437, loss_iou: 1.1130, d0.loss_cls: 2.0128, d0.loss_bbox: 0.7999, d0.loss_iou: 1.1801, d1.loss_cls: 1.9736, d1.loss_bbox: 0.7789, d1.loss_iou: 1.1560, d2.loss_cls: 1.9416, d2.loss_bbox: 0.7623, d2.loss_iou: 1.1327, d3.loss_cls: 1.9211, d3.loss_bbox: 0.7517, d3.loss_iou: 1.1225, d4.loss_cls: 1.9085, d4.loss_bbox: 0.7457, d4.loss_iou: 1.1156, loss: 23.0624, grad_norm: 15.2439 +2022-10-26 22:15:39,860 - mmdet - INFO - Epoch [37][950/1849] lr: 2.000e-04, eta: 0:57:13, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9090, loss_bbox: 0.7424, loss_iou: 1.1131, d0.loss_cls: 2.0189, d0.loss_bbox: 0.7965, d0.loss_iou: 1.1787, d1.loss_cls: 1.9828, d1.loss_bbox: 0.7781, d1.loss_iou: 1.1557, d2.loss_cls: 1.9511, d2.loss_bbox: 0.7608, d2.loss_iou: 1.1341, d3.loss_cls: 1.9319, d3.loss_bbox: 0.7502, d3.loss_iou: 1.1222, d4.loss_cls: 1.9180, d4.loss_bbox: 0.7445, d4.loss_iou: 1.1159, loss: 23.1040, grad_norm: 15.3060 +2022-10-26 22:15:46,592 - mmdet - INFO - Epoch [37][1000/1849] lr: 2.000e-04, eta: 0:57:06, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9230, loss_bbox: 0.7405, loss_iou: 1.1128, d0.loss_cls: 2.0304, d0.loss_bbox: 0.7954, d0.loss_iou: 1.1838, d1.loss_cls: 1.9998, d1.loss_bbox: 0.7756, d1.loss_iou: 1.1573, d2.loss_cls: 1.9689, d2.loss_bbox: 0.7594, d2.loss_iou: 1.1328, d3.loss_cls: 1.9483, d3.loss_bbox: 0.7486, d3.loss_iou: 1.1221, d4.loss_cls: 1.9340, d4.loss_bbox: 0.7425, d4.loss_iou: 1.1156, loss: 23.1909, grad_norm: 15.5217 +2022-10-26 22:15:53,303 - mmdet - INFO - Epoch [37][1050/1849] lr: 2.000e-04, eta: 0:56:59, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.9116, loss_bbox: 0.7465, loss_iou: 1.1161, d0.loss_cls: 2.0226, d0.loss_bbox: 0.8016, d0.loss_iou: 1.1824, d1.loss_cls: 1.9867, d1.loss_bbox: 0.7822, d1.loss_iou: 1.1605, d2.loss_cls: 1.9556, d2.loss_bbox: 0.7652, d2.loss_iou: 1.1368, d3.loss_cls: 1.9338, d3.loss_bbox: 0.7554, d3.loss_iou: 1.1263, d4.loss_cls: 1.9206, d4.loss_bbox: 0.7483, d4.loss_iou: 1.1189, loss: 23.1710, grad_norm: 16.0043 +2022-10-26 22:16:00,177 - mmdet - INFO - Epoch [37][1100/1849] lr: 2.000e-04, eta: 0:56:52, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9125, loss_bbox: 0.7470, loss_iou: 1.1173, d0.loss_cls: 2.0227, d0.loss_bbox: 0.8007, d0.loss_iou: 1.1841, d1.loss_cls: 1.9893, d1.loss_bbox: 0.7816, d1.loss_iou: 1.1590, d2.loss_cls: 1.9554, d2.loss_bbox: 0.7650, d2.loss_iou: 1.1375, d3.loss_cls: 1.9351, d3.loss_bbox: 0.7550, d3.loss_iou: 1.1271, d4.loss_cls: 1.9198, d4.loss_bbox: 0.7489, d4.loss_iou: 1.1204, loss: 23.1782, grad_norm: 13.9499 +2022-10-26 22:16:07,140 - mmdet - INFO - Epoch [37][1150/1849] lr: 2.000e-04, eta: 0:56:45, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9278, loss_bbox: 0.7475, loss_iou: 1.1192, d0.loss_cls: 2.0381, d0.loss_bbox: 0.8004, d0.loss_iou: 1.1857, d1.loss_cls: 2.0058, d1.loss_bbox: 0.7827, d1.loss_iou: 1.1609, d2.loss_cls: 1.9737, d2.loss_bbox: 0.7652, d2.loss_iou: 1.1383, d3.loss_cls: 1.9510, d3.loss_bbox: 0.7555, d3.loss_iou: 1.1279, d4.loss_cls: 1.9364, d4.loss_bbox: 0.7494, d4.loss_iou: 1.1221, loss: 23.2877, grad_norm: 15.7326 +2022-10-26 22:16:13,875 - mmdet - INFO - Epoch [37][1200/1849] lr: 2.000e-04, eta: 0:56:38, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.9247, loss_bbox: 0.7463, loss_iou: 1.1145, d0.loss_cls: 2.0366, d0.loss_bbox: 0.8007, d0.loss_iou: 1.1817, d1.loss_cls: 2.0048, d1.loss_bbox: 0.7815, d1.loss_iou: 1.1573, d2.loss_cls: 1.9687, d2.loss_bbox: 0.7636, d2.loss_iou: 1.1353, d3.loss_cls: 1.9481, d3.loss_bbox: 0.7547, d3.loss_iou: 1.1243, d4.loss_cls: 1.9326, d4.loss_bbox: 0.7488, d4.loss_iou: 1.1177, loss: 23.2417, grad_norm: 15.6078 +2022-10-26 22:16:20,991 - mmdet - INFO - Epoch [37][1250/1849] lr: 2.000e-04, eta: 0:56:31, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9116, loss_bbox: 0.7453, loss_iou: 1.1167, d0.loss_cls: 2.0198, d0.loss_bbox: 0.8012, d0.loss_iou: 1.1838, d1.loss_cls: 1.9887, d1.loss_bbox: 0.7814, d1.loss_iou: 1.1584, d2.loss_cls: 1.9559, d2.loss_bbox: 0.7648, d2.loss_iou: 1.1372, d3.loss_cls: 1.9345, d3.loss_bbox: 0.7538, d3.loss_iou: 1.1257, d4.loss_cls: 1.9206, d4.loss_bbox: 0.7476, d4.loss_iou: 1.1193, loss: 23.1662, grad_norm: 17.1623 +2022-10-26 22:16:28,037 - mmdet - INFO - Epoch [37][1300/1849] lr: 2.000e-04, eta: 0:56:24, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9156, loss_bbox: 0.7486, loss_iou: 1.1184, d0.loss_cls: 2.0230, d0.loss_bbox: 0.8044, d0.loss_iou: 1.1855, d1.loss_cls: 1.9904, d1.loss_bbox: 0.7851, d1.loss_iou: 1.1608, d2.loss_cls: 1.9579, d2.loss_bbox: 0.7678, d2.loss_iou: 1.1387, d3.loss_cls: 1.9376, d3.loss_bbox: 0.7573, d3.loss_iou: 1.1275, d4.loss_cls: 1.9233, d4.loss_bbox: 0.7511, d4.loss_iou: 1.1207, loss: 23.2136, grad_norm: 17.1517 +2022-10-26 22:16:35,092 - mmdet - INFO - Epoch [37][1350/1849] lr: 2.000e-04, eta: 0:56:17, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9147, loss_bbox: 0.7460, loss_iou: 1.1163, d0.loss_cls: 2.0200, d0.loss_bbox: 0.7995, d0.loss_iou: 1.1839, d1.loss_cls: 1.9922, d1.loss_bbox: 0.7811, d1.loss_iou: 1.1597, d2.loss_cls: 1.9573, d2.loss_bbox: 0.7641, d2.loss_iou: 1.1366, d3.loss_cls: 1.9372, d3.loss_bbox: 0.7540, d3.loss_iou: 1.1259, d4.loss_cls: 1.9225, d4.loss_bbox: 0.7479, d4.loss_iou: 1.1192, loss: 23.1781, grad_norm: 16.2363 +2022-10-26 22:16:42,135 - mmdet - INFO - Epoch [37][1400/1849] lr: 2.000e-04, eta: 0:56:11, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8955, loss_bbox: 0.7406, loss_iou: 1.1160, d0.loss_cls: 2.0033, d0.loss_bbox: 0.7948, d0.loss_iou: 1.1835, d1.loss_cls: 1.9717, d1.loss_bbox: 0.7761, d1.loss_iou: 1.1589, d2.loss_cls: 1.9385, d2.loss_bbox: 0.7592, d2.loss_iou: 1.1359, d3.loss_cls: 1.9173, d3.loss_bbox: 0.7489, d3.loss_iou: 1.1250, d4.loss_cls: 1.9043, d4.loss_bbox: 0.7424, d4.loss_iou: 1.1187, loss: 23.0307, grad_norm: 15.2247 +2022-10-26 22:16:49,227 - mmdet - INFO - Epoch [37][1450/1849] lr: 2.000e-04, eta: 0:56:04, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9115, loss_bbox: 0.7437, loss_iou: 1.1137, d0.loss_cls: 2.0216, d0.loss_bbox: 0.7975, d0.loss_iou: 1.1792, d1.loss_cls: 1.9909, d1.loss_bbox: 0.7786, d1.loss_iou: 1.1567, d2.loss_cls: 1.9559, d2.loss_bbox: 0.7621, d2.loss_iou: 1.1337, d3.loss_cls: 1.9326, d3.loss_bbox: 0.7514, d3.loss_iou: 1.1225, d4.loss_cls: 1.9192, d4.loss_bbox: 0.7457, d4.loss_iou: 1.1161, loss: 23.1327, grad_norm: 14.9504 +2022-10-26 22:16:55,966 - mmdet - INFO - Epoch [37][1500/1849] lr: 2.000e-04, eta: 0:55:57, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9241, loss_bbox: 0.7425, loss_iou: 1.1178, d0.loss_cls: 2.0326, d0.loss_bbox: 0.7988, d0.loss_iou: 1.1860, d1.loss_cls: 1.9971, d1.loss_bbox: 0.7773, d1.loss_iou: 1.1610, d2.loss_cls: 1.9660, d2.loss_bbox: 0.7603, d2.loss_iou: 1.1380, d3.loss_cls: 1.9484, d3.loss_bbox: 0.7504, d3.loss_iou: 1.1281, d4.loss_cls: 1.9325, d4.loss_bbox: 0.7443, d4.loss_iou: 1.1212, loss: 23.2267, grad_norm: 15.5636 +2022-10-26 22:17:02,983 - mmdet - INFO - Epoch [37][1550/1849] lr: 2.000e-04, eta: 0:55:50, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9255, loss_bbox: 0.7450, loss_iou: 1.1119, d0.loss_cls: 2.0273, d0.loss_bbox: 0.7995, d0.loss_iou: 1.1785, d1.loss_cls: 1.9964, d1.loss_bbox: 0.7788, d1.loss_iou: 1.1533, d2.loss_cls: 1.9636, d2.loss_bbox: 0.7620, d2.loss_iou: 1.1319, d3.loss_cls: 1.9455, d3.loss_bbox: 0.7527, d3.loss_iou: 1.1212, d4.loss_cls: 1.9325, d4.loss_bbox: 0.7472, d4.loss_iou: 1.1148, loss: 23.1878, grad_norm: 14.8102 +2022-10-26 22:17:09,921 - mmdet - INFO - Epoch [37][1600/1849] lr: 2.000e-04, eta: 0:55:43, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9156, loss_bbox: 0.7470, loss_iou: 1.1186, d0.loss_cls: 2.0251, d0.loss_bbox: 0.8023, d0.loss_iou: 1.1852, d1.loss_cls: 1.9905, d1.loss_bbox: 0.7814, d1.loss_iou: 1.1606, d2.loss_cls: 1.9574, d2.loss_bbox: 0.7643, d2.loss_iou: 1.1381, d3.loss_cls: 1.9378, d3.loss_bbox: 0.7544, d3.loss_iou: 1.1280, d4.loss_cls: 1.9236, d4.loss_bbox: 0.7490, d4.loss_iou: 1.1212, loss: 23.2001, grad_norm: 17.6245 +2022-10-26 22:17:16,859 - mmdet - INFO - Epoch [37][1650/1849] lr: 2.000e-04, eta: 0:55:36, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9042, loss_bbox: 0.7414, loss_iou: 1.1122, d0.loss_cls: 2.0107, d0.loss_bbox: 0.7957, d0.loss_iou: 1.1801, d1.loss_cls: 1.9781, d1.loss_bbox: 0.7771, d1.loss_iou: 1.1568, d2.loss_cls: 1.9463, d2.loss_bbox: 0.7598, d2.loss_iou: 1.1332, d3.loss_cls: 1.9266, d3.loss_bbox: 0.7498, d3.loss_iou: 1.1224, d4.loss_cls: 1.9127, d4.loss_bbox: 0.7431, d4.loss_iou: 1.1150, loss: 23.0650, grad_norm: 16.5036 +2022-10-26 22:17:23,847 - mmdet - INFO - Epoch [37][1700/1849] lr: 2.000e-04, eta: 0:55:30, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9143, loss_bbox: 0.7465, loss_iou: 1.1186, d0.loss_cls: 2.0232, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1872, d1.loss_cls: 1.9889, d1.loss_bbox: 0.7821, d1.loss_iou: 1.1619, d2.loss_cls: 1.9574, d2.loss_bbox: 0.7646, d2.loss_iou: 1.1392, d3.loss_cls: 1.9366, d3.loss_bbox: 0.7548, d3.loss_iou: 1.1279, d4.loss_cls: 1.9209, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1216, loss: 23.1955, grad_norm: 16.0566 +2022-10-26 22:17:30,722 - mmdet - INFO - Epoch [37][1750/1849] lr: 2.000e-04, eta: 0:55:23, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9148, loss_bbox: 0.7443, loss_iou: 1.1177, d0.loss_cls: 2.0236, d0.loss_bbox: 0.8004, d0.loss_iou: 1.1856, d1.loss_cls: 1.9946, d1.loss_bbox: 0.7805, d1.loss_iou: 1.1609, d2.loss_cls: 1.9600, d2.loss_bbox: 0.7635, d2.loss_iou: 1.1377, d3.loss_cls: 1.9367, d3.loss_bbox: 0.7527, d3.loss_iou: 1.1270, d4.loss_cls: 1.9224, d4.loss_bbox: 0.7464, d4.loss_iou: 1.1207, loss: 23.1895, grad_norm: 15.3254 +2022-10-26 22:17:37,247 - mmdet - INFO - Epoch [37][1800/1849] lr: 2.000e-04, eta: 0:55:16, time: 0.131, data_time: 0.005, memory: 4401, loss_cls: 1.9098, loss_bbox: 0.7459, loss_iou: 1.1161, d0.loss_cls: 2.0183, d0.loss_bbox: 0.7990, d0.loss_iou: 1.1822, d1.loss_cls: 1.9853, d1.loss_bbox: 0.7811, d1.loss_iou: 1.1578, d2.loss_cls: 1.9491, d2.loss_bbox: 0.7645, d2.loss_iou: 1.1361, d3.loss_cls: 1.9298, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1261, d4.loss_cls: 1.9178, d4.loss_bbox: 0.7481, d4.loss_iou: 1.1190, loss: 23.1405, grad_norm: 16.2559 +2022-10-26 22:17:44,280 - mmdet - INFO - Saving checkpoint at 37 epochs +2022-10-26 22:17:54,995 - mmdet - INFO - Epoch [38][50/1849] lr: 2.000e-04, eta: 0:55:01, time: 0.202, data_time: 0.064, memory: 4401, loss_cls: 1.9028, loss_bbox: 0.7444, loss_iou: 1.1124, d0.loss_cls: 2.0187, d0.loss_bbox: 0.7994, d0.loss_iou: 1.1803, d1.loss_cls: 1.9845, d1.loss_bbox: 0.7807, d1.loss_iou: 1.1548, d2.loss_cls: 1.9501, d2.loss_bbox: 0.7639, d2.loss_iou: 1.1321, d3.loss_cls: 1.9270, d3.loss_bbox: 0.7524, d3.loss_iou: 1.1219, d4.loss_cls: 1.9115, d4.loss_bbox: 0.7465, d4.loss_iou: 1.1146, loss: 23.0979, grad_norm: 15.3005 +2022-10-26 22:18:02,211 - mmdet - INFO - Epoch [38][100/1849] lr: 2.000e-04, eta: 0:54:54, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9052, loss_bbox: 0.7446, loss_iou: 1.1160, d0.loss_cls: 2.0220, d0.loss_bbox: 0.7995, d0.loss_iou: 1.1844, d1.loss_cls: 1.9856, d1.loss_bbox: 0.7799, d1.loss_iou: 1.1600, d2.loss_cls: 1.9536, d2.loss_bbox: 0.7637, d2.loss_iou: 1.1367, d3.loss_cls: 1.9306, d3.loss_bbox: 0.7531, d3.loss_iou: 1.1252, d4.loss_cls: 1.9135, d4.loss_bbox: 0.7470, d4.loss_iou: 1.1190, loss: 23.1395, grad_norm: 16.1812 +2022-10-26 22:18:09,264 - mmdet - INFO - Epoch [38][150/1849] lr: 2.000e-04, eta: 0:54:47, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9136, loss_bbox: 0.7454, loss_iou: 1.1137, d0.loss_cls: 2.0306, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1820, d1.loss_cls: 1.9923, d1.loss_bbox: 0.7815, d1.loss_iou: 1.1545, d2.loss_cls: 1.9612, d2.loss_bbox: 0.7643, d2.loss_iou: 1.1331, d3.loss_cls: 1.9389, d3.loss_bbox: 0.7535, d3.loss_iou: 1.1222, d4.loss_cls: 1.9231, d4.loss_bbox: 0.7476, d4.loss_iou: 1.1157, loss: 23.1745, grad_norm: 16.3508 +2022-10-26 22:18:16,282 - mmdet - INFO - Epoch [38][200/1849] lr: 2.000e-04, eta: 0:54:40, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9186, loss_bbox: 0.7438, loss_iou: 1.1075, d0.loss_cls: 2.0288, d0.loss_bbox: 0.7994, d0.loss_iou: 1.1771, d1.loss_cls: 1.9945, d1.loss_bbox: 0.7793, d1.loss_iou: 1.1509, d2.loss_cls: 1.9618, d2.loss_bbox: 0.7627, d2.loss_iou: 1.1278, d3.loss_cls: 1.9394, d3.loss_bbox: 0.7518, d3.loss_iou: 1.1172, d4.loss_cls: 1.9252, d4.loss_bbox: 0.7456, d4.loss_iou: 1.1103, loss: 23.1417, grad_norm: 16.5412 +2022-10-26 22:18:23,391 - mmdet - INFO - Epoch [38][250/1849] lr: 2.000e-04, eta: 0:54:34, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9232, loss_bbox: 0.7459, loss_iou: 1.1140, d0.loss_cls: 2.0373, d0.loss_bbox: 0.8009, d0.loss_iou: 1.1833, d1.loss_cls: 2.0069, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1579, d2.loss_cls: 1.9710, d2.loss_bbox: 0.7644, d2.loss_iou: 1.1345, d3.loss_cls: 1.9491, d3.loss_bbox: 0.7540, d3.loss_iou: 1.1232, d4.loss_cls: 1.9336, d4.loss_bbox: 0.7481, d4.loss_iou: 1.1167, loss: 23.2461, grad_norm: 14.6465 +2022-10-26 22:18:30,380 - mmdet - INFO - Epoch [38][300/1849] lr: 2.000e-04, eta: 0:54:27, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9170, loss_bbox: 0.7434, loss_iou: 1.1158, d0.loss_cls: 2.0324, d0.loss_bbox: 0.7990, d0.loss_iou: 1.1853, d1.loss_cls: 1.9965, d1.loss_bbox: 0.7785, d1.loss_iou: 1.1594, d2.loss_cls: 1.9624, d2.loss_bbox: 0.7618, d2.loss_iou: 1.1366, d3.loss_cls: 1.9415, d3.loss_bbox: 0.7516, d3.loss_iou: 1.1257, d4.loss_cls: 1.9259, d4.loss_bbox: 0.7452, d4.loss_iou: 1.1185, loss: 23.1962, grad_norm: 16.1683 +2022-10-26 22:18:37,232 - mmdet - INFO - Epoch [38][350/1849] lr: 2.000e-04, eta: 0:54:20, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8990, loss_bbox: 0.7430, loss_iou: 1.1166, d0.loss_cls: 2.0073, d0.loss_bbox: 0.7985, d0.loss_iou: 1.1850, d1.loss_cls: 1.9750, d1.loss_bbox: 0.7770, d1.loss_iou: 1.1598, d2.loss_cls: 1.9419, d2.loss_bbox: 0.7615, d2.loss_iou: 1.1366, d3.loss_cls: 1.9208, d3.loss_bbox: 0.7516, d3.loss_iou: 1.1252, d4.loss_cls: 1.9064, d4.loss_bbox: 0.7451, d4.loss_iou: 1.1191, loss: 23.0693, grad_norm: 17.4907 +2022-10-26 22:18:43,938 - mmdet - INFO - Epoch [38][400/1849] lr: 2.000e-04, eta: 0:54:13, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.8960, loss_bbox: 0.7448, loss_iou: 1.1157, d0.loss_cls: 2.0125, d0.loss_bbox: 0.8008, d0.loss_iou: 1.1831, d1.loss_cls: 1.9781, d1.loss_bbox: 0.7799, d1.loss_iou: 1.1579, d2.loss_cls: 1.9434, d2.loss_bbox: 0.7633, d2.loss_iou: 1.1353, d3.loss_cls: 1.9203, d3.loss_bbox: 0.7528, d3.loss_iou: 1.1255, d4.loss_cls: 1.9067, d4.loss_bbox: 0.7464, d4.loss_iou: 1.1186, loss: 23.0811, grad_norm: 15.6188 +2022-10-26 22:18:50,979 - mmdet - INFO - Epoch [38][450/1849] lr: 2.000e-04, eta: 0:54:06, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9109, loss_bbox: 0.7448, loss_iou: 1.1169, d0.loss_cls: 2.0208, d0.loss_bbox: 0.8008, d0.loss_iou: 1.1852, d1.loss_cls: 1.9861, d1.loss_bbox: 0.7801, d1.loss_iou: 1.1605, d2.loss_cls: 1.9544, d2.loss_bbox: 0.7635, d2.loss_iou: 1.1379, d3.loss_cls: 1.9338, d3.loss_bbox: 0.7538, d3.loss_iou: 1.1268, d4.loss_cls: 1.9182, d4.loss_bbox: 0.7470, d4.loss_iou: 1.1198, loss: 23.1611, grad_norm: 14.7558 +2022-10-26 22:18:57,730 - mmdet - INFO - Epoch [38][500/1849] lr: 2.000e-04, eta: 0:53:59, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9207, loss_bbox: 0.7454, loss_iou: 1.1153, d0.loss_cls: 2.0321, d0.loss_bbox: 0.8026, d0.loss_iou: 1.1844, d1.loss_cls: 1.9980, d1.loss_bbox: 0.7817, d1.loss_iou: 1.1595, d2.loss_cls: 1.9620, d2.loss_bbox: 0.7649, d2.loss_iou: 1.1361, d3.loss_cls: 1.9437, d3.loss_bbox: 0.7538, d3.loss_iou: 1.1244, d4.loss_cls: 1.9306, d4.loss_bbox: 0.7472, d4.loss_iou: 1.1180, loss: 23.2203, grad_norm: 17.2393 +2022-10-26 22:19:04,512 - mmdet - INFO - Epoch [38][550/1849] lr: 2.000e-04, eta: 0:53:52, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9108, loss_bbox: 0.7438, loss_iou: 1.1121, d0.loss_cls: 2.0235, d0.loss_bbox: 0.8001, d0.loss_iou: 1.1811, d1.loss_cls: 1.9866, d1.loss_bbox: 0.7798, d1.loss_iou: 1.1576, d2.loss_cls: 1.9541, d2.loss_bbox: 0.7624, d2.loss_iou: 1.1343, d3.loss_cls: 1.9328, d3.loss_bbox: 0.7521, d3.loss_iou: 1.1219, d4.loss_cls: 1.9189, d4.loss_bbox: 0.7464, d4.loss_iou: 1.1146, loss: 23.1329, grad_norm: 15.6234 +2022-10-26 22:19:11,504 - mmdet - INFO - Epoch [38][600/1849] lr: 2.000e-04, eta: 0:53:45, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9021, loss_bbox: 0.7466, loss_iou: 1.1224, d0.loss_cls: 2.0103, d0.loss_bbox: 0.7995, d0.loss_iou: 1.1893, d1.loss_cls: 1.9758, d1.loss_bbox: 0.7806, d1.loss_iou: 1.1644, d2.loss_cls: 1.9444, d2.loss_bbox: 0.7640, d2.loss_iou: 1.1411, d3.loss_cls: 1.9226, d3.loss_bbox: 0.7540, d3.loss_iou: 1.1310, d4.loss_cls: 1.9078, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1251, loss: 23.1297, grad_norm: 14.8820 +2022-10-26 22:19:18,292 - mmdet - INFO - Epoch [38][650/1849] lr: 2.000e-04, eta: 0:53:38, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9167, loss_bbox: 0.7440, loss_iou: 1.1122, d0.loss_cls: 2.0260, d0.loss_bbox: 0.7992, d0.loss_iou: 1.1794, d1.loss_cls: 1.9921, d1.loss_bbox: 0.7799, d1.loss_iou: 1.1551, d2.loss_cls: 1.9598, d2.loss_bbox: 0.7627, d2.loss_iou: 1.1331, d3.loss_cls: 1.9403, d3.loss_bbox: 0.7523, d3.loss_iou: 1.1216, d4.loss_cls: 1.9256, d4.loss_bbox: 0.7457, d4.loss_iou: 1.1147, loss: 23.1602, grad_norm: 15.2470 +2022-10-26 22:19:25,168 - mmdet - INFO - Epoch [38][700/1849] lr: 2.000e-04, eta: 0:53:32, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9020, loss_bbox: 0.7384, loss_iou: 1.1117, d0.loss_cls: 2.0138, d0.loss_bbox: 0.7943, d0.loss_iou: 1.1807, d1.loss_cls: 1.9747, d1.loss_bbox: 0.7738, d1.loss_iou: 1.1545, d2.loss_cls: 1.9422, d2.loss_bbox: 0.7566, d2.loss_iou: 1.1326, d3.loss_cls: 1.9237, d3.loss_bbox: 0.7470, d3.loss_iou: 1.1217, d4.loss_cls: 1.9099, d4.loss_bbox: 0.7405, d4.loss_iou: 1.1142, loss: 23.0325, grad_norm: 17.0886 +2022-10-26 22:19:32,127 - mmdet - INFO - Epoch [38][750/1849] lr: 2.000e-04, eta: 0:53:25, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9074, loss_bbox: 0.7446, loss_iou: 1.1169, d0.loss_cls: 2.0156, d0.loss_bbox: 0.7999, d0.loss_iou: 1.1848, d1.loss_cls: 1.9859, d1.loss_bbox: 0.7787, d1.loss_iou: 1.1590, d2.loss_cls: 1.9503, d2.loss_bbox: 0.7635, d2.loss_iou: 1.1369, d3.loss_cls: 1.9298, d3.loss_bbox: 0.7539, d3.loss_iou: 1.1264, d4.loss_cls: 1.9158, d4.loss_bbox: 0.7473, d4.loss_iou: 1.1194, loss: 23.1363, grad_norm: 14.8065 +2022-10-26 22:19:39,064 - mmdet - INFO - Epoch [38][800/1849] lr: 2.000e-04, eta: 0:53:18, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8985, loss_bbox: 0.7402, loss_iou: 1.1129, d0.loss_cls: 2.0121, d0.loss_bbox: 0.7942, d0.loss_iou: 1.1796, d1.loss_cls: 1.9768, d1.loss_bbox: 0.7756, d1.loss_iou: 1.1550, d2.loss_cls: 1.9423, d2.loss_bbox: 0.7588, d2.loss_iou: 1.1334, d3.loss_cls: 1.9214, d3.loss_bbox: 0.7489, d3.loss_iou: 1.1224, d4.loss_cls: 1.9069, d4.loss_bbox: 0.7426, d4.loss_iou: 1.1155, loss: 23.0370, grad_norm: 13.9207 +2022-10-26 22:19:45,924 - mmdet - INFO - Epoch [38][850/1849] lr: 2.000e-04, eta: 0:53:11, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9129, loss_bbox: 0.7465, loss_iou: 1.1160, d0.loss_cls: 2.0175, d0.loss_bbox: 0.8025, d0.loss_iou: 1.1834, d1.loss_cls: 1.9838, d1.loss_bbox: 0.7826, d1.loss_iou: 1.1588, d2.loss_cls: 1.9534, d2.loss_bbox: 0.7648, d2.loss_iou: 1.1353, d3.loss_cls: 1.9342, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1249, d4.loss_cls: 1.9211, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1190, loss: 23.1597, grad_norm: 14.7960 +2022-10-26 22:19:52,912 - mmdet - INFO - Epoch [38][900/1849] lr: 2.000e-04, eta: 0:53:04, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9279, loss_bbox: 0.7468, loss_iou: 1.1165, d0.loss_cls: 2.0361, d0.loss_bbox: 0.8033, d0.loss_iou: 1.1848, d1.loss_cls: 2.0040, d1.loss_bbox: 0.7830, d1.loss_iou: 1.1599, d2.loss_cls: 1.9712, d2.loss_bbox: 0.7660, d2.loss_iou: 1.1364, d3.loss_cls: 1.9492, d3.loss_bbox: 0.7553, d3.loss_iou: 1.1260, d4.loss_cls: 1.9353, d4.loss_bbox: 0.7493, d4.loss_iou: 1.1185, loss: 23.2694, grad_norm: 16.0872 +2022-10-26 22:19:59,926 - mmdet - INFO - Epoch [38][950/1849] lr: 2.000e-04, eta: 0:52:57, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9192, loss_bbox: 0.7428, loss_iou: 1.1121, d0.loss_cls: 2.0343, d0.loss_bbox: 0.7991, d0.loss_iou: 1.1797, d1.loss_cls: 1.9998, d1.loss_bbox: 0.7793, d1.loss_iou: 1.1553, d2.loss_cls: 1.9645, d2.loss_bbox: 0.7616, d2.loss_iou: 1.1328, d3.loss_cls: 1.9427, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1214, d4.loss_cls: 1.9277, d4.loss_bbox: 0.7449, d4.loss_iou: 1.1147, loss: 23.1830, grad_norm: 15.9304 +2022-10-26 22:20:07,101 - mmdet - INFO - Epoch [38][1000/1849] lr: 2.000e-04, eta: 0:52:50, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.9218, loss_bbox: 0.7453, loss_iou: 1.1191, d0.loss_cls: 2.0294, d0.loss_bbox: 0.8014, d0.loss_iou: 1.1864, d1.loss_cls: 1.9980, d1.loss_bbox: 0.7812, d1.loss_iou: 1.1627, d2.loss_cls: 1.9659, d2.loss_bbox: 0.7646, d2.loss_iou: 1.1397, d3.loss_cls: 1.9438, d3.loss_bbox: 0.7537, d3.loss_iou: 1.1291, d4.loss_cls: 1.9296, d4.loss_bbox: 0.7475, d4.loss_iou: 1.1212, loss: 23.2403, grad_norm: 15.8816 +2022-10-26 22:20:13,987 - mmdet - INFO - Epoch [38][1050/1849] lr: 2.000e-04, eta: 0:52:44, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9138, loss_bbox: 0.7390, loss_iou: 1.1079, d0.loss_cls: 2.0252, d0.loss_bbox: 0.7948, d0.loss_iou: 1.1766, d1.loss_cls: 1.9902, d1.loss_bbox: 0.7757, d1.loss_iou: 1.1520, d2.loss_cls: 1.9549, d2.loss_bbox: 0.7582, d2.loss_iou: 1.1299, d3.loss_cls: 1.9357, d3.loss_bbox: 0.7476, d3.loss_iou: 1.1180, d4.loss_cls: 1.9217, d4.loss_bbox: 0.7412, d4.loss_iou: 1.1103, loss: 23.0928, grad_norm: 16.0751 +2022-10-26 22:20:20,667 - mmdet - INFO - Epoch [38][1100/1849] lr: 2.000e-04, eta: 0:52:37, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9106, loss_bbox: 0.7433, loss_iou: 1.1194, d0.loss_cls: 2.0212, d0.loss_bbox: 0.7979, d0.loss_iou: 1.1873, d1.loss_cls: 1.9854, d1.loss_bbox: 0.7768, d1.loss_iou: 1.1621, d2.loss_cls: 1.9525, d2.loss_bbox: 0.7607, d2.loss_iou: 1.1394, d3.loss_cls: 1.9326, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1292, d4.loss_cls: 1.9187, d4.loss_bbox: 0.7453, d4.loss_iou: 1.1225, loss: 23.1560, grad_norm: 14.1756 +2022-10-26 22:20:27,367 - mmdet - INFO - Epoch [38][1150/1849] lr: 2.000e-04, eta: 0:52:30, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.9098, loss_bbox: 0.7490, loss_iou: 1.1182, d0.loss_cls: 2.0211, d0.loss_bbox: 0.8029, d0.loss_iou: 1.1857, d1.loss_cls: 1.9850, d1.loss_bbox: 0.7842, d1.loss_iou: 1.1594, d2.loss_cls: 1.9526, d2.loss_bbox: 0.7671, d2.loss_iou: 1.1376, d3.loss_cls: 1.9303, d3.loss_bbox: 0.7575, d3.loss_iou: 1.1269, d4.loss_cls: 1.9178, d4.loss_bbox: 0.7511, d4.loss_iou: 1.1205, loss: 23.1768, grad_norm: 16.3835 +2022-10-26 22:20:37,450 - mmdet - INFO - Epoch [38][1200/1849] lr: 2.000e-04, eta: 0:52:24, time: 0.202, data_time: 0.005, memory: 4401, loss_cls: 1.9156, loss_bbox: 0.7400, loss_iou: 1.1116, d0.loss_cls: 2.0276, d0.loss_bbox: 0.7965, d0.loss_iou: 1.1793, d1.loss_cls: 1.9925, d1.loss_bbox: 0.7763, d1.loss_iou: 1.1538, d2.loss_cls: 1.9594, d2.loss_bbox: 0.7591, d2.loss_iou: 1.1312, d3.loss_cls: 1.9363, d3.loss_bbox: 0.7489, d3.loss_iou: 1.1212, d4.loss_cls: 1.9249, d4.loss_bbox: 0.7423, d4.loss_iou: 1.1143, loss: 23.1307, grad_norm: 15.1483 +2022-10-26 22:20:44,392 - mmdet - INFO - Epoch [38][1250/1849] lr: 2.000e-04, eta: 0:52:17, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9192, loss_bbox: 0.7441, loss_iou: 1.1153, d0.loss_cls: 2.0253, d0.loss_bbox: 0.8011, d0.loss_iou: 1.1833, d1.loss_cls: 1.9973, d1.loss_bbox: 0.7811, d1.loss_iou: 1.1578, d2.loss_cls: 1.9647, d2.loss_bbox: 0.7630, d2.loss_iou: 1.1353, d3.loss_cls: 1.9426, d3.loss_bbox: 0.7521, d3.loss_iou: 1.1239, d4.loss_cls: 1.9284, d4.loss_bbox: 0.7462, d4.loss_iou: 1.1174, loss: 23.1982, grad_norm: 15.9812 +2022-10-26 22:20:51,434 - mmdet - INFO - Epoch [38][1300/1849] lr: 2.000e-04, eta: 0:52:10, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9066, loss_bbox: 0.7421, loss_iou: 1.1090, d0.loss_cls: 2.0177, d0.loss_bbox: 0.7985, d0.loss_iou: 1.1772, d1.loss_cls: 1.9833, d1.loss_bbox: 0.7797, d1.loss_iou: 1.1528, d2.loss_cls: 1.9535, d2.loss_bbox: 0.7618, d2.loss_iou: 1.1296, d3.loss_cls: 1.9304, d3.loss_bbox: 0.7505, d3.loss_iou: 1.1193, d4.loss_cls: 1.9162, d4.loss_bbox: 0.7442, d4.loss_iou: 1.1114, loss: 23.0840, grad_norm: 15.0212 +2022-10-26 22:20:58,486 - mmdet - INFO - Epoch [38][1350/1849] lr: 2.000e-04, eta: 0:52:03, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9199, loss_bbox: 0.7466, loss_iou: 1.1177, d0.loss_cls: 2.0291, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1847, d1.loss_cls: 1.9953, d1.loss_bbox: 0.7818, d1.loss_iou: 1.1612, d2.loss_cls: 1.9626, d2.loss_bbox: 0.7651, d2.loss_iou: 1.1378, d3.loss_cls: 1.9426, d3.loss_bbox: 0.7546, d3.loss_iou: 1.1276, d4.loss_cls: 1.9281, d4.loss_bbox: 0.7488, d4.loss_iou: 1.1202, loss: 23.2249, grad_norm: 16.9991 +2022-10-26 22:21:05,244 - mmdet - INFO - Epoch [38][1400/1849] lr: 2.000e-04, eta: 0:51:56, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9249, loss_bbox: 0.7414, loss_iou: 1.1132, d0.loss_cls: 2.0326, d0.loss_bbox: 0.7964, d0.loss_iou: 1.1796, d1.loss_cls: 1.9993, d1.loss_bbox: 0.7760, d1.loss_iou: 1.1555, d2.loss_cls: 1.9686, d2.loss_bbox: 0.7596, d2.loss_iou: 1.1324, d3.loss_cls: 1.9480, d3.loss_bbox: 0.7493, d3.loss_iou: 1.1220, d4.loss_cls: 1.9325, d4.loss_bbox: 0.7430, d4.loss_iou: 1.1160, loss: 23.1904, grad_norm: 14.0913 +2022-10-26 22:21:12,113 - mmdet - INFO - Epoch [38][1450/1849] lr: 2.000e-04, eta: 0:51:49, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9151, loss_bbox: 0.7474, loss_iou: 1.1138, d0.loss_cls: 2.0261, d0.loss_bbox: 0.8028, d0.loss_iou: 1.1803, d1.loss_cls: 1.9881, d1.loss_bbox: 0.7846, d1.loss_iou: 1.1576, d2.loss_cls: 1.9605, d2.loss_bbox: 0.7661, d2.loss_iou: 1.1347, d3.loss_cls: 1.9373, d3.loss_bbox: 0.7561, d3.loss_iou: 1.1232, d4.loss_cls: 1.9247, d4.loss_bbox: 0.7495, d4.loss_iou: 1.1163, loss: 23.1843, grad_norm: 15.3737 +2022-10-26 22:21:18,865 - mmdet - INFO - Epoch [38][1500/1849] lr: 2.000e-04, eta: 0:51:43, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.9193, loss_bbox: 0.7435, loss_iou: 1.1140, d0.loss_cls: 2.0248, d0.loss_bbox: 0.7977, d0.loss_iou: 1.1821, d1.loss_cls: 1.9943, d1.loss_bbox: 0.7794, d1.loss_iou: 1.1579, d2.loss_cls: 1.9618, d2.loss_bbox: 0.7624, d2.loss_iou: 1.1343, d3.loss_cls: 1.9420, d3.loss_bbox: 0.7523, d3.loss_iou: 1.1240, d4.loss_cls: 1.9270, d4.loss_bbox: 0.7461, d4.loss_iou: 1.1162, loss: 23.1789, grad_norm: 14.1416 +2022-10-26 22:21:25,523 - mmdet - INFO - Epoch [38][1550/1849] lr: 2.000e-04, eta: 0:51:36, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.9133, loss_bbox: 0.7453, loss_iou: 1.1157, d0.loss_cls: 2.0192, d0.loss_bbox: 0.8006, d0.loss_iou: 1.1819, d1.loss_cls: 1.9875, d1.loss_bbox: 0.7800, d1.loss_iou: 1.1583, d2.loss_cls: 1.9547, d2.loss_bbox: 0.7632, d2.loss_iou: 1.1360, d3.loss_cls: 1.9348, d3.loss_bbox: 0.7534, d3.loss_iou: 1.1253, d4.loss_cls: 1.9219, d4.loss_bbox: 0.7470, d4.loss_iou: 1.1183, loss: 23.1565, grad_norm: 15.3996 +2022-10-26 22:21:32,360 - mmdet - INFO - Epoch [38][1600/1849] lr: 2.000e-04, eta: 0:51:29, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9134, loss_bbox: 0.7410, loss_iou: 1.1104, d0.loss_cls: 2.0241, d0.loss_bbox: 0.7975, d0.loss_iou: 1.1783, d1.loss_cls: 1.9908, d1.loss_bbox: 0.7779, d1.loss_iou: 1.1550, d2.loss_cls: 1.9558, d2.loss_bbox: 0.7606, d2.loss_iou: 1.1313, d3.loss_cls: 1.9353, d3.loss_bbox: 0.7500, d3.loss_iou: 1.1199, d4.loss_cls: 1.9235, d4.loss_bbox: 0.7431, d4.loss_iou: 1.1133, loss: 23.1210, grad_norm: 14.9181 +2022-10-26 22:21:39,237 - mmdet - INFO - Epoch [38][1650/1849] lr: 2.000e-04, eta: 0:51:22, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9208, loss_bbox: 0.7426, loss_iou: 1.1163, d0.loss_cls: 2.0327, d0.loss_bbox: 0.7972, d0.loss_iou: 1.1843, d1.loss_cls: 1.9958, d1.loss_bbox: 0.7782, d1.loss_iou: 1.1595, d2.loss_cls: 1.9629, d2.loss_bbox: 0.7612, d2.loss_iou: 1.1364, d3.loss_cls: 1.9413, d3.loss_bbox: 0.7506, d3.loss_iou: 1.1259, d4.loss_cls: 1.9280, d4.loss_bbox: 0.7443, d4.loss_iou: 1.1188, loss: 23.1968, grad_norm: 14.6835 +2022-10-26 22:21:46,099 - mmdet - INFO - Epoch [38][1700/1849] lr: 2.000e-04, eta: 0:51:15, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9216, loss_bbox: 0.7426, loss_iou: 1.1142, d0.loss_cls: 2.0313, d0.loss_bbox: 0.7980, d0.loss_iou: 1.1817, d1.loss_cls: 1.9982, d1.loss_bbox: 0.7790, d1.loss_iou: 1.1574, d2.loss_cls: 1.9660, d2.loss_bbox: 0.7613, d2.loss_iou: 1.1346, d3.loss_cls: 1.9448, d3.loss_bbox: 0.7512, d3.loss_iou: 1.1235, d4.loss_cls: 1.9296, d4.loss_bbox: 0.7449, d4.loss_iou: 1.1167, loss: 23.1967, grad_norm: 15.0261 +2022-10-26 22:21:53,011 - mmdet - INFO - Epoch [38][1750/1849] lr: 2.000e-04, eta: 0:51:08, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9232, loss_bbox: 0.7479, loss_iou: 1.1141, d0.loss_cls: 2.0288, d0.loss_bbox: 0.8035, d0.loss_iou: 1.1816, d1.loss_cls: 1.9927, d1.loss_bbox: 0.7832, d1.loss_iou: 1.1569, d2.loss_cls: 1.9653, d2.loss_bbox: 0.7655, d2.loss_iou: 1.1338, d3.loss_cls: 1.9444, d3.loss_bbox: 0.7559, d3.loss_iou: 1.1233, d4.loss_cls: 1.9314, d4.loss_bbox: 0.7498, d4.loss_iou: 1.1168, loss: 23.2181, grad_norm: 17.0844 +2022-10-26 22:21:59,893 - mmdet - INFO - Epoch [38][1800/1849] lr: 2.000e-04, eta: 0:51:01, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9196, loss_bbox: 0.7463, loss_iou: 1.1158, d0.loss_cls: 2.0251, d0.loss_bbox: 0.8003, d0.loss_iou: 1.1815, d1.loss_cls: 1.9946, d1.loss_bbox: 0.7816, d1.loss_iou: 1.1577, d2.loss_cls: 1.9638, d2.loss_bbox: 0.7653, d2.loss_iou: 1.1347, d3.loss_cls: 1.9425, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1246, d4.loss_cls: 1.9289, d4.loss_bbox: 0.7485, d4.loss_iou: 1.1181, loss: 23.2031, grad_norm: 15.1784 +2022-10-26 22:22:06,769 - mmdet - INFO - Saving checkpoint at 38 epochs +2022-10-26 22:22:17,575 - mmdet - INFO - Epoch [39][50/1849] lr: 2.000e-04, eta: 0:50:46, time: 0.204, data_time: 0.064, memory: 4401, loss_cls: 1.8917, loss_bbox: 0.7419, loss_iou: 1.1127, d0.loss_cls: 2.0030, d0.loss_bbox: 0.7972, d0.loss_iou: 1.1824, d1.loss_cls: 1.9697, d1.loss_bbox: 0.7765, d1.loss_iou: 1.1563, d2.loss_cls: 1.9341, d2.loss_bbox: 0.7598, d2.loss_iou: 1.1335, d3.loss_cls: 1.9168, d3.loss_bbox: 0.7494, d3.loss_iou: 1.1223, d4.loss_cls: 1.9015, d4.loss_bbox: 0.7437, d4.loss_iou: 1.1150, loss: 23.0075, grad_norm: 14.6939 +2022-10-26 22:22:24,900 - mmdet - INFO - Epoch [39][100/1849] lr: 2.000e-04, eta: 0:50:40, time: 0.146, data_time: 0.005, memory: 4401, loss_cls: 1.8839, loss_bbox: 0.7375, loss_iou: 1.1129, d0.loss_cls: 2.0020, d0.loss_bbox: 0.7933, d0.loss_iou: 1.1815, d1.loss_cls: 1.9624, d1.loss_bbox: 0.7732, d1.loss_iou: 1.1560, d2.loss_cls: 1.9290, d2.loss_bbox: 0.7567, d2.loss_iou: 1.1337, d3.loss_cls: 1.9070, d3.loss_bbox: 0.7459, d3.loss_iou: 1.1226, d4.loss_cls: 1.8946, d4.loss_bbox: 0.7394, d4.loss_iou: 1.1154, loss: 22.9470, grad_norm: 14.2167 +2022-10-26 22:22:32,069 - mmdet - INFO - Epoch [39][150/1849] lr: 2.000e-04, eta: 0:50:33, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8971, loss_bbox: 0.7447, loss_iou: 1.1111, d0.loss_cls: 2.0127, d0.loss_bbox: 0.8021, d0.loss_iou: 1.1800, d1.loss_cls: 1.9731, d1.loss_bbox: 0.7816, d1.loss_iou: 1.1552, d2.loss_cls: 1.9399, d2.loss_bbox: 0.7636, d2.loss_iou: 1.1321, d3.loss_cls: 1.9191, d3.loss_bbox: 0.7532, d3.loss_iou: 1.1206, d4.loss_cls: 1.9046, d4.loss_bbox: 0.7468, d4.loss_iou: 1.1137, loss: 23.0511, grad_norm: 16.2563 +2022-10-26 22:22:39,117 - mmdet - INFO - Epoch [39][200/1849] lr: 2.000e-04, eta: 0:50:26, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8961, loss_bbox: 0.7421, loss_iou: 1.1121, d0.loss_cls: 2.0082, d0.loss_bbox: 0.7993, d0.loss_iou: 1.1819, d1.loss_cls: 1.9752, d1.loss_bbox: 0.7777, d1.loss_iou: 1.1561, d2.loss_cls: 1.9422, d2.loss_bbox: 0.7606, d2.loss_iou: 1.1334, d3.loss_cls: 1.9195, d3.loss_bbox: 0.7505, d3.loss_iou: 1.1220, d4.loss_cls: 1.9047, d4.loss_bbox: 0.7444, d4.loss_iou: 1.1146, loss: 23.0405, grad_norm: 16.5627 +2022-10-26 22:22:46,171 - mmdet - INFO - Epoch [39][250/1849] lr: 2.000e-04, eta: 0:50:19, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9059, loss_bbox: 0.7375, loss_iou: 1.1091, d0.loss_cls: 2.0162, d0.loss_bbox: 0.7927, d0.loss_iou: 1.1775, d1.loss_cls: 1.9830, d1.loss_bbox: 0.7731, d1.loss_iou: 1.1521, d2.loss_cls: 1.9501, d2.loss_bbox: 0.7561, d2.loss_iou: 1.1297, d3.loss_cls: 1.9304, d3.loss_bbox: 0.7456, d3.loss_iou: 1.1183, d4.loss_cls: 1.9142, d4.loss_bbox: 0.7396, d4.loss_iou: 1.1119, loss: 23.0430, grad_norm: 16.5022 +2022-10-26 22:22:53,180 - mmdet - INFO - Epoch [39][300/1849] lr: 2.000e-04, eta: 0:50:12, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8985, loss_bbox: 0.7429, loss_iou: 1.1119, d0.loss_cls: 2.0106, d0.loss_bbox: 0.7980, d0.loss_iou: 1.1814, d1.loss_cls: 1.9745, d1.loss_bbox: 0.7797, d1.loss_iou: 1.1563, d2.loss_cls: 1.9430, d2.loss_bbox: 0.7626, d2.loss_iou: 1.1329, d3.loss_cls: 1.9238, d3.loss_bbox: 0.7514, d3.loss_iou: 1.1209, d4.loss_cls: 1.9076, d4.loss_bbox: 0.7449, d4.loss_iou: 1.1143, loss: 23.0553, grad_norm: 14.4481 +2022-10-26 22:23:00,152 - mmdet - INFO - Epoch [39][350/1849] lr: 2.000e-04, eta: 0:50:06, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9039, loss_bbox: 0.7459, loss_iou: 1.1176, d0.loss_cls: 2.0162, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1850, d1.loss_cls: 1.9800, d1.loss_bbox: 0.7826, d1.loss_iou: 1.1603, d2.loss_cls: 1.9476, d2.loss_bbox: 0.7653, d2.loss_iou: 1.1381, d3.loss_cls: 1.9271, d3.loss_bbox: 0.7546, d3.loss_iou: 1.1275, d4.loss_cls: 1.9149, d4.loss_bbox: 0.7482, d4.loss_iou: 1.1204, loss: 23.1362, grad_norm: 14.9999 +2022-10-26 22:23:07,043 - mmdet - INFO - Epoch [39][400/1849] lr: 2.000e-04, eta: 0:49:59, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9057, loss_bbox: 0.7437, loss_iou: 1.1157, d0.loss_cls: 2.0205, d0.loss_bbox: 0.7989, d0.loss_iou: 1.1826, d1.loss_cls: 1.9848, d1.loss_bbox: 0.7797, d1.loss_iou: 1.1580, d2.loss_cls: 1.9511, d2.loss_bbox: 0.7618, d2.loss_iou: 1.1358, d3.loss_cls: 1.9301, d3.loss_bbox: 0.7520, d3.loss_iou: 1.1244, d4.loss_cls: 1.9148, d4.loss_bbox: 0.7463, d4.loss_iou: 1.1179, loss: 23.1236, grad_norm: 14.8535 +2022-10-26 22:23:13,932 - mmdet - INFO - Epoch [39][450/1849] lr: 2.000e-04, eta: 0:49:52, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9174, loss_bbox: 0.7427, loss_iou: 1.1152, d0.loss_cls: 2.0267, d0.loss_bbox: 0.7986, d0.loss_iou: 1.1838, d1.loss_cls: 1.9923, d1.loss_bbox: 0.7777, d1.loss_iou: 1.1583, d2.loss_cls: 1.9596, d2.loss_bbox: 0.7617, d2.loss_iou: 1.1358, d3.loss_cls: 1.9389, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1252, d4.loss_cls: 1.9258, d4.loss_bbox: 0.7451, d4.loss_iou: 1.1180, loss: 23.1738, grad_norm: 15.4785 +2022-10-26 22:23:20,990 - mmdet - INFO - Epoch [39][500/1849] lr: 2.000e-04, eta: 0:49:45, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9246, loss_bbox: 0.7429, loss_iou: 1.1128, d0.loss_cls: 2.0403, d0.loss_bbox: 0.7966, d0.loss_iou: 1.1797, d1.loss_cls: 2.0023, d1.loss_bbox: 0.7776, d1.loss_iou: 1.1557, d2.loss_cls: 1.9687, d2.loss_bbox: 0.7611, d2.loss_iou: 1.1325, d3.loss_cls: 1.9482, d3.loss_bbox: 0.7512, d3.loss_iou: 1.1223, d4.loss_cls: 1.9321, d4.loss_bbox: 0.7450, d4.loss_iou: 1.1157, loss: 23.2093, grad_norm: 15.3331 +2022-10-26 22:23:28,037 - mmdet - INFO - Epoch [39][550/1849] lr: 2.000e-04, eta: 0:49:38, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9054, loss_bbox: 0.7458, loss_iou: 1.1148, d0.loss_cls: 2.0149, d0.loss_bbox: 0.8000, d0.loss_iou: 1.1828, d1.loss_cls: 1.9821, d1.loss_bbox: 0.7808, d1.loss_iou: 1.1579, d2.loss_cls: 1.9495, d2.loss_bbox: 0.7641, d2.loss_iou: 1.1353, d3.loss_cls: 1.9287, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1252, d4.loss_cls: 1.9133, d4.loss_bbox: 0.7475, d4.loss_iou: 1.1178, loss: 23.1201, grad_norm: 15.9204 +2022-10-26 22:23:35,072 - mmdet - INFO - Epoch [39][600/1849] lr: 2.000e-04, eta: 0:49:31, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8847, loss_bbox: 0.7347, loss_iou: 1.1069, d0.loss_cls: 1.9971, d0.loss_bbox: 0.7921, d0.loss_iou: 1.1758, d1.loss_cls: 1.9621, d1.loss_bbox: 0.7711, d1.loss_iou: 1.1505, d2.loss_cls: 1.9286, d2.loss_bbox: 0.7531, d2.loss_iou: 1.1281, d3.loss_cls: 1.9069, d3.loss_bbox: 0.7427, d3.loss_iou: 1.1168, d4.loss_cls: 1.8930, d4.loss_bbox: 0.7376, d4.loss_iou: 1.1091, loss: 22.8907, grad_norm: 16.6654 +2022-10-26 22:23:42,086 - mmdet - INFO - Epoch [39][650/1849] lr: 2.000e-04, eta: 0:49:24, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9035, loss_bbox: 0.7424, loss_iou: 1.1123, d0.loss_cls: 2.0192, d0.loss_bbox: 0.7985, d0.loss_iou: 1.1799, d1.loss_cls: 1.9797, d1.loss_bbox: 0.7782, d1.loss_iou: 1.1565, d2.loss_cls: 1.9468, d2.loss_bbox: 0.7618, d2.loss_iou: 1.1328, d3.loss_cls: 1.9261, d3.loss_bbox: 0.7513, d3.loss_iou: 1.1215, d4.loss_cls: 1.9111, d4.loss_bbox: 0.7442, d4.loss_iou: 1.1148, loss: 23.0807, grad_norm: 17.7443 +2022-10-26 22:23:49,125 - mmdet - INFO - Epoch [39][700/1849] lr: 2.000e-04, eta: 0:49:18, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8995, loss_bbox: 0.7401, loss_iou: 1.1146, d0.loss_cls: 2.0135, d0.loss_bbox: 0.7959, d0.loss_iou: 1.1831, d1.loss_cls: 1.9788, d1.loss_bbox: 0.7761, d1.loss_iou: 1.1561, d2.loss_cls: 1.9418, d2.loss_bbox: 0.7581, d2.loss_iou: 1.1335, d3.loss_cls: 1.9243, d3.loss_bbox: 0.7486, d3.loss_iou: 1.1235, d4.loss_cls: 1.9088, d4.loss_bbox: 0.7424, d4.loss_iou: 1.1177, loss: 23.0564, grad_norm: 16.7529 +2022-10-26 22:23:56,099 - mmdet - INFO - Epoch [39][750/1849] lr: 2.000e-04, eta: 0:49:11, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9145, loss_bbox: 0.7434, loss_iou: 1.1184, d0.loss_cls: 2.0239, d0.loss_bbox: 0.7983, d0.loss_iou: 1.1860, d1.loss_cls: 1.9863, d1.loss_bbox: 0.7781, d1.loss_iou: 1.1612, d2.loss_cls: 1.9551, d2.loss_bbox: 0.7615, d2.loss_iou: 1.1382, d3.loss_cls: 1.9348, d3.loss_bbox: 0.7513, d3.loss_iou: 1.1270, d4.loss_cls: 1.9215, d4.loss_bbox: 0.7447, d4.loss_iou: 1.1214, loss: 23.1655, grad_norm: 17.6906 +2022-10-26 22:24:03,023 - mmdet - INFO - Epoch [39][800/1849] lr: 2.000e-04, eta: 0:49:04, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9048, loss_bbox: 0.7385, loss_iou: 1.1131, d0.loss_cls: 2.0162, d0.loss_bbox: 0.7943, d0.loss_iou: 1.1813, d1.loss_cls: 1.9835, d1.loss_bbox: 0.7745, d1.loss_iou: 1.1571, d2.loss_cls: 1.9512, d2.loss_bbox: 0.7578, d2.loss_iou: 1.1338, d3.loss_cls: 1.9285, d3.loss_bbox: 0.7469, d3.loss_iou: 1.1228, d4.loss_cls: 1.9139, d4.loss_bbox: 0.7408, d4.loss_iou: 1.1163, loss: 23.0756, grad_norm: 15.8541 +2022-10-26 22:24:09,912 - mmdet - INFO - Epoch [39][850/1849] lr: 2.000e-04, eta: 0:48:57, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9034, loss_bbox: 0.7382, loss_iou: 1.1086, d0.loss_cls: 2.0163, d0.loss_bbox: 0.7947, d0.loss_iou: 1.1768, d1.loss_cls: 1.9826, d1.loss_bbox: 0.7746, d1.loss_iou: 1.1528, d2.loss_cls: 1.9502, d2.loss_bbox: 0.7570, d2.loss_iou: 1.1293, d3.loss_cls: 1.9275, d3.loss_bbox: 0.7463, d3.loss_iou: 1.1191, d4.loss_cls: 1.9127, d4.loss_bbox: 0.7404, d4.loss_iou: 1.1113, loss: 23.0416, grad_norm: 14.8655 +2022-10-26 22:24:16,890 - mmdet - INFO - Epoch [39][900/1849] lr: 2.000e-04, eta: 0:48:50, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9163, loss_bbox: 0.7449, loss_iou: 1.1111, d0.loss_cls: 2.0288, d0.loss_bbox: 0.8019, d0.loss_iou: 1.1794, d1.loss_cls: 1.9983, d1.loss_bbox: 0.7822, d1.loss_iou: 1.1541, d2.loss_cls: 1.9625, d2.loss_bbox: 0.7648, d2.loss_iou: 1.1325, d3.loss_cls: 1.9395, d3.loss_bbox: 0.7544, d3.loss_iou: 1.1208, d4.loss_cls: 1.9262, d4.loss_bbox: 0.7472, d4.loss_iou: 1.1136, loss: 23.1786, grad_norm: 15.5834 +2022-10-26 22:24:23,815 - mmdet - INFO - Epoch [39][950/1849] lr: 2.000e-04, eta: 0:48:43, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9056, loss_bbox: 0.7447, loss_iou: 1.1106, d0.loss_cls: 2.0167, d0.loss_bbox: 0.8003, d0.loss_iou: 1.1795, d1.loss_cls: 1.9825, d1.loss_bbox: 0.7806, d1.loss_iou: 1.1558, d2.loss_cls: 1.9509, d2.loss_bbox: 0.7627, d2.loss_iou: 1.1328, d3.loss_cls: 1.9272, d3.loss_bbox: 0.7526, d3.loss_iou: 1.1215, d4.loss_cls: 1.9145, d4.loss_bbox: 0.7470, d4.loss_iou: 1.1137, loss: 23.0991, grad_norm: 16.1268 +2022-10-26 22:24:30,593 - mmdet - INFO - Epoch [39][1000/1849] lr: 2.000e-04, eta: 0:48:36, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.9039, loss_bbox: 0.7432, loss_iou: 1.1134, d0.loss_cls: 2.0152, d0.loss_bbox: 0.7984, d0.loss_iou: 1.1814, d1.loss_cls: 1.9787, d1.loss_bbox: 0.7777, d1.loss_iou: 1.1562, d2.loss_cls: 1.9474, d2.loss_bbox: 0.7615, d2.loss_iou: 1.1341, d3.loss_cls: 1.9268, d3.loss_bbox: 0.7512, d3.loss_iou: 1.1238, d4.loss_cls: 1.9126, d4.loss_bbox: 0.7455, d4.loss_iou: 1.1161, loss: 23.0871, grad_norm: 16.3384 +2022-10-26 22:24:37,515 - mmdet - INFO - Epoch [39][1050/1849] lr: 2.000e-04, eta: 0:48:30, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8926, loss_bbox: 0.7407, loss_iou: 1.1122, d0.loss_cls: 2.0104, d0.loss_bbox: 0.7969, d0.loss_iou: 1.1798, d1.loss_cls: 1.9757, d1.loss_bbox: 0.7760, d1.loss_iou: 1.1552, d2.loss_cls: 1.9381, d2.loss_bbox: 0.7589, d2.loss_iou: 1.1319, d3.loss_cls: 1.9180, d3.loss_bbox: 0.7497, d3.loss_iou: 1.1212, d4.loss_cls: 1.9030, d4.loss_bbox: 0.7428, d4.loss_iou: 1.1143, loss: 23.0175, grad_norm: 17.0021 +2022-10-26 22:24:44,436 - mmdet - INFO - Epoch [39][1100/1849] lr: 2.000e-04, eta: 0:48:23, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9176, loss_bbox: 0.7411, loss_iou: 1.1169, d0.loss_cls: 2.0335, d0.loss_bbox: 0.7950, d0.loss_iou: 1.1842, d1.loss_cls: 1.9929, d1.loss_bbox: 0.7747, d1.loss_iou: 1.1588, d2.loss_cls: 1.9635, d2.loss_bbox: 0.7582, d2.loss_iou: 1.1362, d3.loss_cls: 1.9408, d3.loss_bbox: 0.7486, d3.loss_iou: 1.1260, d4.loss_cls: 1.9278, d4.loss_bbox: 0.7428, d4.loss_iou: 1.1194, loss: 23.1780, grad_norm: 15.6913 +2022-10-26 22:24:51,253 - mmdet - INFO - Epoch [39][1150/1849] lr: 2.000e-04, eta: 0:48:16, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9116, loss_bbox: 0.7437, loss_iou: 1.1142, d0.loss_cls: 2.0195, d0.loss_bbox: 0.7977, d0.loss_iou: 1.1828, d1.loss_cls: 1.9855, d1.loss_bbox: 0.7791, d1.loss_iou: 1.1583, d2.loss_cls: 1.9526, d2.loss_bbox: 0.7618, d2.loss_iou: 1.1346, d3.loss_cls: 1.9346, d3.loss_bbox: 0.7523, d3.loss_iou: 1.1237, d4.loss_cls: 1.9207, d4.loss_bbox: 0.7458, d4.loss_iou: 1.1171, loss: 23.1356, grad_norm: 18.2559 +2022-10-26 22:24:58,102 - mmdet - INFO - Epoch [39][1200/1849] lr: 2.000e-04, eta: 0:48:09, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9041, loss_bbox: 0.7402, loss_iou: 1.1112, d0.loss_cls: 2.0149, d0.loss_bbox: 0.7947, d0.loss_iou: 1.1772, d1.loss_cls: 1.9821, d1.loss_bbox: 0.7749, d1.loss_iou: 1.1533, d2.loss_cls: 1.9492, d2.loss_bbox: 0.7594, d2.loss_iou: 1.1306, d3.loss_cls: 1.9283, d3.loss_bbox: 0.7483, d3.loss_iou: 1.1207, d4.loss_cls: 1.9127, d4.loss_bbox: 0.7420, d4.loss_iou: 1.1140, loss: 23.0579, grad_norm: 16.6348 +2022-10-26 22:25:05,168 - mmdet - INFO - Epoch [39][1250/1849] lr: 2.000e-04, eta: 0:48:02, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9129, loss_bbox: 0.7437, loss_iou: 1.1139, d0.loss_cls: 2.0173, d0.loss_bbox: 0.7984, d0.loss_iou: 1.1810, d1.loss_cls: 1.9866, d1.loss_bbox: 0.7777, d1.loss_iou: 1.1560, d2.loss_cls: 1.9567, d2.loss_bbox: 0.7623, d2.loss_iou: 1.1335, d3.loss_cls: 1.9357, d3.loss_bbox: 0.7526, d3.loss_iou: 1.1232, d4.loss_cls: 1.9222, d4.loss_bbox: 0.7458, d4.loss_iou: 1.1163, loss: 23.1359, grad_norm: 15.2810 +2022-10-26 22:25:12,362 - mmdet - INFO - Epoch [39][1300/1849] lr: 2.000e-04, eta: 0:47:55, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.9074, loss_bbox: 0.7382, loss_iou: 1.1098, d0.loss_cls: 2.0196, d0.loss_bbox: 0.7945, d0.loss_iou: 1.1771, d1.loss_cls: 1.9842, d1.loss_bbox: 0.7734, d1.loss_iou: 1.1516, d2.loss_cls: 1.9508, d2.loss_bbox: 0.7573, d2.loss_iou: 1.1295, d3.loss_cls: 1.9330, d3.loss_bbox: 0.7463, d3.loss_iou: 1.1187, d4.loss_cls: 1.9163, d4.loss_bbox: 0.7405, d4.loss_iou: 1.1123, loss: 23.0606, grad_norm: 15.5986 +2022-10-26 22:25:19,304 - mmdet - INFO - Epoch [39][1350/1849] lr: 2.000e-04, eta: 0:47:48, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.9169, loss_bbox: 0.7464, loss_iou: 1.1163, d0.loss_cls: 2.0301, d0.loss_bbox: 0.8014, d0.loss_iou: 1.1827, d1.loss_cls: 1.9959, d1.loss_bbox: 0.7810, d1.loss_iou: 1.1577, d2.loss_cls: 1.9608, d2.loss_bbox: 0.7648, d2.loss_iou: 1.1349, d3.loss_cls: 1.9387, d3.loss_bbox: 0.7544, d3.loss_iou: 1.1248, d4.loss_cls: 1.9258, d4.loss_bbox: 0.7486, d4.loss_iou: 1.1187, loss: 23.1997, grad_norm: 15.2443 +2022-10-26 22:25:26,301 - mmdet - INFO - Epoch [39][1400/1849] lr: 2.000e-04, eta: 0:47:41, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9207, loss_bbox: 0.7437, loss_iou: 1.1156, d0.loss_cls: 2.0341, d0.loss_bbox: 0.7981, d0.loss_iou: 1.1832, d1.loss_cls: 2.0011, d1.loss_bbox: 0.7783, d1.loss_iou: 1.1573, d2.loss_cls: 1.9650, d2.loss_bbox: 0.7617, d2.loss_iou: 1.1350, d3.loss_cls: 1.9410, d3.loss_bbox: 0.7513, d3.loss_iou: 1.1252, d4.loss_cls: 1.9285, d4.loss_bbox: 0.7453, d4.loss_iou: 1.1186, loss: 23.2036, grad_norm: 15.7754 +2022-10-26 22:25:33,340 - mmdet - INFO - Epoch [39][1450/1849] lr: 2.000e-04, eta: 0:47:35, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9127, loss_bbox: 0.7411, loss_iou: 1.1122, d0.loss_cls: 2.0221, d0.loss_bbox: 0.7986, d0.loss_iou: 1.1814, d1.loss_cls: 1.9854, d1.loss_bbox: 0.7784, d1.loss_iou: 1.1582, d2.loss_cls: 1.9533, d2.loss_bbox: 0.7609, d2.loss_iou: 1.1340, d3.loss_cls: 1.9332, d3.loss_bbox: 0.7499, d3.loss_iou: 1.1225, d4.loss_cls: 1.9207, d4.loss_bbox: 0.7431, d4.loss_iou: 1.1150, loss: 23.1225, grad_norm: 16.1732 +2022-10-26 22:25:40,284 - mmdet - INFO - Epoch [39][1500/1849] lr: 2.000e-04, eta: 0:47:28, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9177, loss_bbox: 0.7440, loss_iou: 1.1120, d0.loss_cls: 2.0294, d0.loss_bbox: 0.7984, d0.loss_iou: 1.1801, d1.loss_cls: 1.9948, d1.loss_bbox: 0.7793, d1.loss_iou: 1.1556, d2.loss_cls: 1.9586, d2.loss_bbox: 0.7621, d2.loss_iou: 1.1335, d3.loss_cls: 1.9427, d3.loss_bbox: 0.7527, d3.loss_iou: 1.1226, d4.loss_cls: 1.9268, d4.loss_bbox: 0.7462, d4.loss_iou: 1.1149, loss: 23.1714, grad_norm: 15.2832 +2022-10-26 22:25:47,098 - mmdet - INFO - Epoch [39][1550/1849] lr: 2.000e-04, eta: 0:47:21, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9253, loss_bbox: 0.7456, loss_iou: 1.1135, d0.loss_cls: 2.0380, d0.loss_bbox: 0.8011, d0.loss_iou: 1.1808, d1.loss_cls: 2.0008, d1.loss_bbox: 0.7815, d1.loss_iou: 1.1552, d2.loss_cls: 1.9684, d2.loss_bbox: 0.7633, d2.loss_iou: 1.1338, d3.loss_cls: 1.9487, d3.loss_bbox: 0.7539, d3.loss_iou: 1.1228, d4.loss_cls: 1.9347, d4.loss_bbox: 0.7484, d4.loss_iou: 1.1156, loss: 23.2315, grad_norm: 16.2591 +2022-10-26 22:25:54,062 - mmdet - INFO - Epoch [39][1600/1849] lr: 2.000e-04, eta: 0:47:14, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9147, loss_bbox: 0.7440, loss_iou: 1.1135, d0.loss_cls: 2.0273, d0.loss_bbox: 0.8001, d0.loss_iou: 1.1818, d1.loss_cls: 1.9904, d1.loss_bbox: 0.7795, d1.loss_iou: 1.1574, d2.loss_cls: 1.9603, d2.loss_bbox: 0.7619, d2.loss_iou: 1.1335, d3.loss_cls: 1.9374, d3.loss_bbox: 0.7528, d3.loss_iou: 1.1234, d4.loss_cls: 1.9246, d4.loss_bbox: 0.7465, d4.loss_iou: 1.1159, loss: 23.1649, grad_norm: 14.4587 +2022-10-26 22:26:01,068 - mmdet - INFO - Epoch [39][1650/1849] lr: 2.000e-04, eta: 0:47:07, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9023, loss_bbox: 0.7415, loss_iou: 1.1135, d0.loss_cls: 2.0115, d0.loss_bbox: 0.7960, d0.loss_iou: 1.1809, d1.loss_cls: 1.9756, d1.loss_bbox: 0.7768, d1.loss_iou: 1.1570, d2.loss_cls: 1.9450, d2.loss_bbox: 0.7597, d2.loss_iou: 1.1334, d3.loss_cls: 1.9253, d3.loss_bbox: 0.7500, d3.loss_iou: 1.1221, d4.loss_cls: 1.9110, d4.loss_bbox: 0.7437, d4.loss_iou: 1.1158, loss: 23.0610, grad_norm: 15.2514 +2022-10-26 22:26:07,992 - mmdet - INFO - Epoch [39][1700/1849] lr: 2.000e-04, eta: 0:47:00, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9204, loss_bbox: 0.7395, loss_iou: 1.1091, d0.loss_cls: 2.0303, d0.loss_bbox: 0.7963, d0.loss_iou: 1.1796, d1.loss_cls: 1.9956, d1.loss_bbox: 0.7760, d1.loss_iou: 1.1532, d2.loss_cls: 1.9610, d2.loss_bbox: 0.7582, d2.loss_iou: 1.1295, d3.loss_cls: 1.9416, d3.loss_bbox: 0.7472, d3.loss_iou: 1.1191, d4.loss_cls: 1.9282, d4.loss_bbox: 0.7415, d4.loss_iou: 1.1124, loss: 23.1387, grad_norm: 15.8260 +2022-10-26 22:26:14,847 - mmdet - INFO - Epoch [39][1750/1849] lr: 2.000e-04, eta: 0:46:53, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.9266, loss_bbox: 0.7438, loss_iou: 1.1164, d0.loss_cls: 2.0386, d0.loss_bbox: 0.8006, d0.loss_iou: 1.1853, d1.loss_cls: 2.0011, d1.loss_bbox: 0.7804, d1.loss_iou: 1.1613, d2.loss_cls: 1.9701, d2.loss_bbox: 0.7636, d2.loss_iou: 1.1373, d3.loss_cls: 1.9483, d3.loss_bbox: 0.7526, d3.loss_iou: 1.1266, d4.loss_cls: 1.9355, d4.loss_bbox: 0.7456, d4.loss_iou: 1.1188, loss: 23.2525, grad_norm: 15.4381 +2022-10-26 22:26:21,846 - mmdet - INFO - Epoch [39][1800/1849] lr: 2.000e-04, eta: 0:46:47, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.9064, loss_bbox: 0.7462, loss_iou: 1.1146, d0.loss_cls: 2.0179, d0.loss_bbox: 0.7999, d0.loss_iou: 1.1805, d1.loss_cls: 1.9839, d1.loss_bbox: 0.7813, d1.loss_iou: 1.1572, d2.loss_cls: 1.9526, d2.loss_bbox: 0.7637, d2.loss_iou: 1.1350, d3.loss_cls: 1.9298, d3.loss_bbox: 0.7542, d3.loss_iou: 1.1244, d4.loss_cls: 1.9154, d4.loss_bbox: 0.7482, d4.loss_iou: 1.1176, loss: 23.1289, grad_norm: 15.8483 +2022-10-26 22:26:28,824 - mmdet - INFO - Saving checkpoint at 39 epochs +2022-10-26 22:26:39,609 - mmdet - INFO - Epoch [40][50/1849] lr: 2.000e-04, eta: 0:46:32, time: 0.203, data_time: 0.064, memory: 4401, loss_cls: 1.9056, loss_bbox: 0.7411, loss_iou: 1.1130, d0.loss_cls: 2.0242, d0.loss_bbox: 0.7959, d0.loss_iou: 1.1789, d1.loss_cls: 1.9921, d1.loss_bbox: 0.7762, d1.loss_iou: 1.1546, d2.loss_cls: 1.9556, d2.loss_bbox: 0.7597, d2.loss_iou: 1.1335, d3.loss_cls: 1.9326, d3.loss_bbox: 0.7494, d3.loss_iou: 1.1222, d4.loss_cls: 1.9171, d4.loss_bbox: 0.7430, d4.loss_iou: 1.1154, loss: 23.1100, grad_norm: 15.5390 +2022-10-26 22:26:46,824 - mmdet - INFO - Epoch [40][100/1849] lr: 2.000e-04, eta: 0:46:25, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9052, loss_bbox: 0.7394, loss_iou: 1.1075, d0.loss_cls: 2.0270, d0.loss_bbox: 0.7945, d0.loss_iou: 1.1749, d1.loss_cls: 1.9893, d1.loss_bbox: 0.7741, d1.loss_iou: 1.1514, d2.loss_cls: 1.9548, d2.loss_bbox: 0.7576, d2.loss_iou: 1.1276, d3.loss_cls: 1.9320, d3.loss_bbox: 0.7481, d3.loss_iou: 1.1169, d4.loss_cls: 1.9155, d4.loss_bbox: 0.7417, d4.loss_iou: 1.1104, loss: 23.0681, grad_norm: 16.2830 +2022-10-26 22:26:54,067 - mmdet - INFO - Epoch [40][150/1849] lr: 2.000e-04, eta: 0:46:18, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.9078, loss_bbox: 0.7455, loss_iou: 1.1151, d0.loss_cls: 2.0260, d0.loss_bbox: 0.7999, d0.loss_iou: 1.1823, d1.loss_cls: 1.9873, d1.loss_bbox: 0.7794, d1.loss_iou: 1.1572, d2.loss_cls: 1.9506, d2.loss_bbox: 0.7635, d2.loss_iou: 1.1347, d3.loss_cls: 1.9312, d3.loss_bbox: 0.7538, d3.loss_iou: 1.1238, d4.loss_cls: 1.9175, d4.loss_bbox: 0.7477, d4.loss_iou: 1.1175, loss: 23.1409, grad_norm: 16.7197 +2022-10-26 22:27:01,388 - mmdet - INFO - Epoch [40][200/1849] lr: 2.000e-04, eta: 0:46:12, time: 0.146, data_time: 0.005, memory: 4401, loss_cls: 1.8991, loss_bbox: 0.7420, loss_iou: 1.1101, d0.loss_cls: 2.0133, d0.loss_bbox: 0.7982, d0.loss_iou: 1.1794, d1.loss_cls: 1.9776, d1.loss_bbox: 0.7771, d1.loss_iou: 1.1531, d2.loss_cls: 1.9438, d2.loss_bbox: 0.7597, d2.loss_iou: 1.1302, d3.loss_cls: 1.9221, d3.loss_bbox: 0.7498, d3.loss_iou: 1.1192, d4.loss_cls: 1.9068, d4.loss_bbox: 0.7446, d4.loss_iou: 1.1126, loss: 23.0389, grad_norm: 13.7544 +2022-10-26 22:27:08,468 - mmdet - INFO - Epoch [40][250/1849] lr: 2.000e-04, eta: 0:46:05, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.9007, loss_bbox: 0.7433, loss_iou: 1.1151, d0.loss_cls: 2.0174, d0.loss_bbox: 0.7982, d0.loss_iou: 1.1830, d1.loss_cls: 1.9853, d1.loss_bbox: 0.7775, d1.loss_iou: 1.1583, d2.loss_cls: 1.9499, d2.loss_bbox: 0.7614, d2.loss_iou: 1.1352, d3.loss_cls: 1.9291, d3.loss_bbox: 0.7511, d3.loss_iou: 1.1239, d4.loss_cls: 1.9113, d4.loss_bbox: 0.7451, d4.loss_iou: 1.1172, loss: 23.1030, grad_norm: 16.2796 +2022-10-26 22:27:15,498 - mmdet - INFO - Epoch [40][300/1849] lr: 2.000e-04, eta: 0:45:58, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8906, loss_bbox: 0.7431, loss_iou: 1.1094, d0.loss_cls: 2.0074, d0.loss_bbox: 0.7998, d0.loss_iou: 1.1792, d1.loss_cls: 1.9712, d1.loss_bbox: 0.7787, d1.loss_iou: 1.1529, d2.loss_cls: 1.9362, d2.loss_bbox: 0.7623, d2.loss_iou: 1.1302, d3.loss_cls: 1.9156, d3.loss_bbox: 0.7521, d3.loss_iou: 1.1196, d4.loss_cls: 1.9005, d4.loss_bbox: 0.7457, d4.loss_iou: 1.1125, loss: 23.0070, grad_norm: 16.0730 +2022-10-26 22:27:22,465 - mmdet - INFO - Epoch [40][350/1849] lr: 2.000e-04, eta: 0:45:51, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9072, loss_bbox: 0.7408, loss_iou: 1.1117, d0.loss_cls: 2.0187, d0.loss_bbox: 0.7981, d0.loss_iou: 1.1810, d1.loss_cls: 1.9856, d1.loss_bbox: 0.7765, d1.loss_iou: 1.1554, d2.loss_cls: 1.9520, d2.loss_bbox: 0.7592, d2.loss_iou: 1.1322, d3.loss_cls: 1.9312, d3.loss_bbox: 0.7494, d3.loss_iou: 1.1216, d4.loss_cls: 1.9152, d4.loss_bbox: 0.7429, d4.loss_iou: 1.1145, loss: 23.0933, grad_norm: 16.2671 +2022-10-26 22:27:29,524 - mmdet - INFO - Epoch [40][400/1849] lr: 2.000e-04, eta: 0:45:44, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8949, loss_bbox: 0.7400, loss_iou: 1.1105, d0.loss_cls: 2.0100, d0.loss_bbox: 0.7956, d0.loss_iou: 1.1806, d1.loss_cls: 1.9751, d1.loss_bbox: 0.7765, d1.loss_iou: 1.1555, d2.loss_cls: 1.9440, d2.loss_bbox: 0.7577, d2.loss_iou: 1.1310, d3.loss_cls: 1.9184, d3.loss_bbox: 0.7481, d3.loss_iou: 1.1204, d4.loss_cls: 1.9041, d4.loss_bbox: 0.7417, d4.loss_iou: 1.1135, loss: 23.0176, grad_norm: 15.8969 +2022-10-26 22:27:36,494 - mmdet - INFO - Epoch [40][450/1849] lr: 2.000e-04, eta: 0:45:37, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9115, loss_bbox: 0.7420, loss_iou: 1.1141, d0.loss_cls: 2.0221, d0.loss_bbox: 0.7955, d0.loss_iou: 1.1810, d1.loss_cls: 1.9865, d1.loss_bbox: 0.7771, d1.loss_iou: 1.1567, d2.loss_cls: 1.9581, d2.loss_bbox: 0.7599, d2.loss_iou: 1.1342, d3.loss_cls: 1.9340, d3.loss_bbox: 0.7505, d3.loss_iou: 1.1245, d4.loss_cls: 1.9193, d4.loss_bbox: 0.7446, d4.loss_iou: 1.1169, loss: 23.1286, grad_norm: 15.9779 +2022-10-26 22:27:43,455 - mmdet - INFO - Epoch [40][500/1849] lr: 2.000e-04, eta: 0:45:31, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9064, loss_bbox: 0.7459, loss_iou: 1.1141, d0.loss_cls: 2.0222, d0.loss_bbox: 0.8009, d0.loss_iou: 1.1823, d1.loss_cls: 1.9883, d1.loss_bbox: 0.7817, d1.loss_iou: 1.1583, d2.loss_cls: 1.9526, d2.loss_bbox: 0.7640, d2.loss_iou: 1.1350, d3.loss_cls: 1.9326, d3.loss_bbox: 0.7543, d3.loss_iou: 1.1236, d4.loss_cls: 1.9151, d4.loss_bbox: 0.7481, d4.loss_iou: 1.1160, loss: 23.1417, grad_norm: 14.9764 +2022-10-26 22:27:50,398 - mmdet - INFO - Epoch [40][550/1849] lr: 2.000e-04, eta: 0:45:24, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9017, loss_bbox: 0.7378, loss_iou: 1.1110, d0.loss_cls: 2.0141, d0.loss_bbox: 0.7949, d0.loss_iou: 1.1798, d1.loss_cls: 1.9809, d1.loss_bbox: 0.7751, d1.loss_iou: 1.1563, d2.loss_cls: 1.9438, d2.loss_bbox: 0.7571, d2.loss_iou: 1.1309, d3.loss_cls: 1.9251, d3.loss_bbox: 0.7467, d3.loss_iou: 1.1207, d4.loss_cls: 1.9091, d4.loss_bbox: 0.7402, d4.loss_iou: 1.1143, loss: 23.0394, grad_norm: 16.8573 +2022-10-26 22:27:57,354 - mmdet - INFO - Epoch [40][600/1849] lr: 2.000e-04, eta: 0:45:17, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8882, loss_bbox: 0.7414, loss_iou: 1.1131, d0.loss_cls: 2.0043, d0.loss_bbox: 0.7975, d0.loss_iou: 1.1805, d1.loss_cls: 1.9693, d1.loss_bbox: 0.7771, d1.loss_iou: 1.1546, d2.loss_cls: 1.9342, d2.loss_bbox: 0.7605, d2.loss_iou: 1.1324, d3.loss_cls: 1.9120, d3.loss_bbox: 0.7501, d3.loss_iou: 1.1221, d4.loss_cls: 1.8968, d4.loss_bbox: 0.7436, d4.loss_iou: 1.1153, loss: 22.9929, grad_norm: 16.4699 +2022-10-26 22:28:04,175 - mmdet - INFO - Epoch [40][650/1849] lr: 2.000e-04, eta: 0:45:10, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9048, loss_bbox: 0.7401, loss_iou: 1.1112, d0.loss_cls: 2.0166, d0.loss_bbox: 0.7937, d0.loss_iou: 1.1785, d1.loss_cls: 1.9870, d1.loss_bbox: 0.7759, d1.loss_iou: 1.1539, d2.loss_cls: 1.9521, d2.loss_bbox: 0.7580, d2.loss_iou: 1.1304, d3.loss_cls: 1.9297, d3.loss_bbox: 0.7484, d3.loss_iou: 1.1205, d4.loss_cls: 1.9151, d4.loss_bbox: 0.7422, d4.loss_iou: 1.1138, loss: 23.0720, grad_norm: 15.9054 +2022-10-26 22:28:10,997 - mmdet - INFO - Epoch [40][700/1849] lr: 2.000e-04, eta: 0:45:03, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9170, loss_bbox: 0.7432, loss_iou: 1.1153, d0.loss_cls: 2.0282, d0.loss_bbox: 0.7987, d0.loss_iou: 1.1830, d1.loss_cls: 1.9925, d1.loss_bbox: 0.7791, d1.loss_iou: 1.1584, d2.loss_cls: 1.9597, d2.loss_bbox: 0.7622, d2.loss_iou: 1.1364, d3.loss_cls: 1.9418, d3.loss_bbox: 0.7515, d3.loss_iou: 1.1255, d4.loss_cls: 1.9254, d4.loss_bbox: 0.7461, d4.loss_iou: 1.1178, loss: 23.1818, grad_norm: 16.3228 +2022-10-26 22:28:17,961 - mmdet - INFO - Epoch [40][750/1849] lr: 2.000e-04, eta: 0:44:56, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9020, loss_bbox: 0.7413, loss_iou: 1.1178, d0.loss_cls: 2.0142, d0.loss_bbox: 0.7977, d0.loss_iou: 1.1861, d1.loss_cls: 1.9806, d1.loss_bbox: 0.7774, d1.loss_iou: 1.1605, d2.loss_cls: 1.9459, d2.loss_bbox: 0.7602, d2.loss_iou: 1.1375, d3.loss_cls: 1.9259, d3.loss_bbox: 0.7499, d3.loss_iou: 1.1271, d4.loss_cls: 1.9108, d4.loss_bbox: 0.7433, d4.loss_iou: 1.1201, loss: 23.0981, grad_norm: 15.3044 +2022-10-26 22:28:24,777 - mmdet - INFO - Epoch [40][800/1849] lr: 2.000e-04, eta: 0:44:49, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8969, loss_bbox: 0.7360, loss_iou: 1.1077, d0.loss_cls: 2.0097, d0.loss_bbox: 0.7920, d0.loss_iou: 1.1791, d1.loss_cls: 1.9774, d1.loss_bbox: 0.7725, d1.loss_iou: 1.1517, d2.loss_cls: 1.9445, d2.loss_bbox: 0.7549, d2.loss_iou: 1.1288, d3.loss_cls: 1.9223, d3.loss_bbox: 0.7438, d3.loss_iou: 1.1181, d4.loss_cls: 1.9064, d4.loss_bbox: 0.7382, d4.loss_iou: 1.1107, loss: 22.9907, grad_norm: 15.5903 +2022-10-26 22:28:31,507 - mmdet - INFO - Epoch [40][850/1849] lr: 2.000e-04, eta: 0:44:42, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8961, loss_bbox: 0.7395, loss_iou: 1.1129, d0.loss_cls: 2.0118, d0.loss_bbox: 0.7954, d0.loss_iou: 1.1819, d1.loss_cls: 1.9777, d1.loss_bbox: 0.7753, d1.loss_iou: 1.1566, d2.loss_cls: 1.9438, d2.loss_bbox: 0.7582, d2.loss_iou: 1.1347, d3.loss_cls: 1.9194, d3.loss_bbox: 0.7483, d3.loss_iou: 1.1239, d4.loss_cls: 1.9057, d4.loss_bbox: 0.7418, d4.loss_iou: 1.1166, loss: 23.0395, grad_norm: 15.9080 +2022-10-26 22:28:38,416 - mmdet - INFO - Epoch [40][900/1849] lr: 2.000e-04, eta: 0:44:35, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9126, loss_bbox: 0.7446, loss_iou: 1.1108, d0.loss_cls: 2.0255, d0.loss_bbox: 0.8001, d0.loss_iou: 1.1790, d1.loss_cls: 1.9913, d1.loss_bbox: 0.7803, d1.loss_iou: 1.1537, d2.loss_cls: 1.9547, d2.loss_bbox: 0.7641, d2.loss_iou: 1.1315, d3.loss_cls: 1.9342, d3.loss_bbox: 0.7535, d3.loss_iou: 1.1206, d4.loss_cls: 1.9206, d4.loss_bbox: 0.7473, d4.loss_iou: 1.1137, loss: 23.1381, grad_norm: 15.5468 +2022-10-26 22:28:45,472 - mmdet - INFO - Epoch [40][950/1849] lr: 2.000e-04, eta: 0:44:29, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9102, loss_bbox: 0.7413, loss_iou: 1.1151, d0.loss_cls: 2.0203, d0.loss_bbox: 0.7948, d0.loss_iou: 1.1818, d1.loss_cls: 1.9857, d1.loss_bbox: 0.7767, d1.loss_iou: 1.1581, d2.loss_cls: 1.9543, d2.loss_bbox: 0.7600, d2.loss_iou: 1.1351, d3.loss_cls: 1.9348, d3.loss_bbox: 0.7498, d3.loss_iou: 1.1242, d4.loss_cls: 1.9185, d4.loss_bbox: 0.7432, d4.loss_iou: 1.1177, loss: 23.1214, grad_norm: 15.4896 +2022-10-26 22:28:52,546 - mmdet - INFO - Epoch [40][1000/1849] lr: 2.000e-04, eta: 0:44:22, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.9014, loss_bbox: 0.7412, loss_iou: 1.1075, d0.loss_cls: 2.0169, d0.loss_bbox: 0.7959, d0.loss_iou: 1.1766, d1.loss_cls: 1.9809, d1.loss_bbox: 0.7767, d1.loss_iou: 1.1508, d2.loss_cls: 1.9480, d2.loss_bbox: 0.7602, d2.loss_iou: 1.1282, d3.loss_cls: 1.9253, d3.loss_bbox: 0.7501, d3.loss_iou: 1.1168, d4.loss_cls: 1.9109, d4.loss_bbox: 0.7438, d4.loss_iou: 1.1097, loss: 23.0411, grad_norm: 17.0137 +2022-10-26 22:28:59,375 - mmdet - INFO - Epoch [40][1050/1849] lr: 2.000e-04, eta: 0:44:15, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9116, loss_bbox: 0.7480, loss_iou: 1.1181, d0.loss_cls: 2.0238, d0.loss_bbox: 0.8038, d0.loss_iou: 1.1854, d1.loss_cls: 1.9904, d1.loss_bbox: 0.7837, d1.loss_iou: 1.1604, d2.loss_cls: 1.9529, d2.loss_bbox: 0.7682, d2.loss_iou: 1.1386, d3.loss_cls: 1.9338, d3.loss_bbox: 0.7572, d3.loss_iou: 1.1283, d4.loss_cls: 1.9201, d4.loss_bbox: 0.7504, d4.loss_iou: 1.1206, loss: 23.1953, grad_norm: 14.6797 +2022-10-26 22:29:06,253 - mmdet - INFO - Epoch [40][1100/1849] lr: 2.000e-04, eta: 0:44:08, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8949, loss_bbox: 0.7407, loss_iou: 1.1105, d0.loss_cls: 2.0051, d0.loss_bbox: 0.7942, d0.loss_iou: 1.1784, d1.loss_cls: 1.9724, d1.loss_bbox: 0.7748, d1.loss_iou: 1.1532, d2.loss_cls: 1.9405, d2.loss_bbox: 0.7581, d2.loss_iou: 1.1296, d3.loss_cls: 1.9200, d3.loss_bbox: 0.7479, d3.loss_iou: 1.1199, d4.loss_cls: 1.9032, d4.loss_bbox: 0.7425, d4.loss_iou: 1.1132, loss: 22.9991, grad_norm: 15.4300 +2022-10-26 22:29:13,278 - mmdet - INFO - Epoch [40][1150/1849] lr: 2.000e-04, eta: 0:44:01, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.9119, loss_bbox: 0.7400, loss_iou: 1.1103, d0.loss_cls: 2.0237, d0.loss_bbox: 0.7937, d0.loss_iou: 1.1778, d1.loss_cls: 1.9893, d1.loss_bbox: 0.7756, d1.loss_iou: 1.1535, d2.loss_cls: 1.9572, d2.loss_bbox: 0.7584, d2.loss_iou: 1.1306, d3.loss_cls: 1.9350, d3.loss_bbox: 0.7486, d3.loss_iou: 1.1199, d4.loss_cls: 1.9203, d4.loss_bbox: 0.7420, d4.loss_iou: 1.1133, loss: 23.1011, grad_norm: 15.1994 +2022-10-26 22:29:20,152 - mmdet - INFO - Epoch [40][1200/1849] lr: 2.000e-04, eta: 0:43:54, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9019, loss_bbox: 0.7402, loss_iou: 1.1138, d0.loss_cls: 2.0169, d0.loss_bbox: 0.7965, d0.loss_iou: 1.1819, d1.loss_cls: 1.9818, d1.loss_bbox: 0.7774, d1.loss_iou: 1.1575, d2.loss_cls: 1.9505, d2.loss_bbox: 0.7603, d2.loss_iou: 1.1332, d3.loss_cls: 1.9282, d3.loss_bbox: 0.7500, d3.loss_iou: 1.1220, d4.loss_cls: 1.9126, d4.loss_bbox: 0.7429, d4.loss_iou: 1.1157, loss: 23.0833, grad_norm: 15.3078 +2022-10-26 22:29:26,975 - mmdet - INFO - Epoch [40][1250/1849] lr: 2.000e-04, eta: 0:43:47, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8951, loss_bbox: 0.7389, loss_iou: 1.1119, d0.loss_cls: 2.0059, d0.loss_bbox: 0.7957, d0.loss_iou: 1.1784, d1.loss_cls: 1.9716, d1.loss_bbox: 0.7754, d1.loss_iou: 1.1553, d2.loss_cls: 1.9379, d2.loss_bbox: 0.7579, d2.loss_iou: 1.1321, d3.loss_cls: 1.9206, d3.loss_bbox: 0.7475, d3.loss_iou: 1.1223, d4.loss_cls: 1.9041, d4.loss_bbox: 0.7411, d4.loss_iou: 1.1150, loss: 23.0069, grad_norm: 16.0060 +2022-10-26 22:29:33,908 - mmdet - INFO - Epoch [40][1300/1849] lr: 2.000e-04, eta: 0:43:41, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9130, loss_bbox: 0.7401, loss_iou: 1.1100, d0.loss_cls: 2.0242, d0.loss_bbox: 0.7959, d0.loss_iou: 1.1786, d1.loss_cls: 1.9900, d1.loss_bbox: 0.7748, d1.loss_iou: 1.1529, d2.loss_cls: 1.9588, d2.loss_bbox: 0.7588, d2.loss_iou: 1.1300, d3.loss_cls: 1.9363, d3.loss_bbox: 0.7487, d3.loss_iou: 1.1189, d4.loss_cls: 1.9210, d4.loss_bbox: 0.7425, d4.loss_iou: 1.1130, loss: 23.1076, grad_norm: 14.7421 +2022-10-26 22:29:40,763 - mmdet - INFO - Epoch [40][1350/1849] lr: 2.000e-04, eta: 0:43:34, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.9127, loss_bbox: 0.7411, loss_iou: 1.1086, d0.loss_cls: 2.0288, d0.loss_bbox: 0.7991, d0.loss_iou: 1.1776, d1.loss_cls: 1.9918, d1.loss_bbox: 0.7779, d1.loss_iou: 1.1523, d2.loss_cls: 1.9588, d2.loss_bbox: 0.7605, d2.loss_iou: 1.1289, d3.loss_cls: 1.9376, d3.loss_bbox: 0.7502, d3.loss_iou: 1.1182, d4.loss_cls: 1.9229, d4.loss_bbox: 0.7433, d4.loss_iou: 1.1110, loss: 23.1213, grad_norm: 16.8862 +2022-10-26 22:29:47,816 - mmdet - INFO - Epoch [40][1400/1849] lr: 2.000e-04, eta: 0:43:27, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9064, loss_bbox: 0.7428, loss_iou: 1.1171, d0.loss_cls: 2.0176, d0.loss_bbox: 0.7994, d0.loss_iou: 1.1851, d1.loss_cls: 1.9825, d1.loss_bbox: 0.7790, d1.loss_iou: 1.1612, d2.loss_cls: 1.9516, d2.loss_bbox: 0.7614, d2.loss_iou: 1.1370, d3.loss_cls: 1.9310, d3.loss_bbox: 0.7513, d3.loss_iou: 1.1266, d4.loss_cls: 1.9144, d4.loss_bbox: 0.7456, d4.loss_iou: 1.1198, loss: 23.1299, grad_norm: 14.9590 +2022-10-26 22:29:55,008 - mmdet - INFO - Epoch [40][1450/1849] lr: 2.000e-04, eta: 0:43:20, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.9092, loss_bbox: 0.7428, loss_iou: 1.1140, d0.loss_cls: 2.0204, d0.loss_bbox: 0.7978, d0.loss_iou: 1.1807, d1.loss_cls: 1.9876, d1.loss_bbox: 0.7785, d1.loss_iou: 1.1561, d2.loss_cls: 1.9516, d2.loss_bbox: 0.7624, d2.loss_iou: 1.1338, d3.loss_cls: 1.9303, d3.loss_bbox: 0.7520, d3.loss_iou: 1.1232, d4.loss_cls: 1.9180, d4.loss_bbox: 0.7451, d4.loss_iou: 1.1169, loss: 23.1201, grad_norm: 16.1290 +2022-10-26 22:30:02,085 - mmdet - INFO - Epoch [40][1500/1849] lr: 2.000e-04, eta: 0:43:13, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.9105, loss_bbox: 0.7419, loss_iou: 1.1124, d0.loss_cls: 2.0245, d0.loss_bbox: 0.7962, d0.loss_iou: 1.1809, d1.loss_cls: 1.9877, d1.loss_bbox: 0.7762, d1.loss_iou: 1.1553, d2.loss_cls: 1.9537, d2.loss_bbox: 0.7601, d2.loss_iou: 1.1329, d3.loss_cls: 1.9327, d3.loss_bbox: 0.7498, d3.loss_iou: 1.1221, d4.loss_cls: 1.9196, d4.loss_bbox: 0.7439, d4.loss_iou: 1.1151, loss: 23.1156, grad_norm: 15.8700 +2022-10-26 22:30:09,199 - mmdet - INFO - Epoch [40][1550/1849] lr: 2.000e-04, eta: 0:43:06, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.9125, loss_bbox: 0.7430, loss_iou: 1.1144, d0.loss_cls: 2.0227, d0.loss_bbox: 0.7996, d0.loss_iou: 1.1836, d1.loss_cls: 1.9936, d1.loss_bbox: 0.7794, d1.loss_iou: 1.1580, d2.loss_cls: 1.9594, d2.loss_bbox: 0.7612, d2.loss_iou: 1.1347, d3.loss_cls: 1.9380, d3.loss_bbox: 0.7513, d3.loss_iou: 1.1243, d4.loss_cls: 1.9233, d4.loss_bbox: 0.7452, d4.loss_iou: 1.1172, loss: 23.1614, grad_norm: 15.4802 +2022-10-26 22:30:16,107 - mmdet - INFO - Epoch [40][1600/1849] lr: 2.000e-04, eta: 0:42:59, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.9033, loss_bbox: 0.7413, loss_iou: 1.1104, d0.loss_cls: 2.0134, d0.loss_bbox: 0.7978, d0.loss_iou: 1.1796, d1.loss_cls: 1.9840, d1.loss_bbox: 0.7764, d1.loss_iou: 1.1540, d2.loss_cls: 1.9499, d2.loss_bbox: 0.7601, d2.loss_iou: 1.1310, d3.loss_cls: 1.9273, d3.loss_bbox: 0.7496, d3.loss_iou: 1.1205, d4.loss_cls: 1.9106, d4.loss_bbox: 0.7442, d4.loss_iou: 1.1132, loss: 23.0664, grad_norm: 14.4441 +2022-10-26 22:30:23,065 - mmdet - INFO - Epoch [40][1650/1849] lr: 2.000e-04, eta: 0:42:53, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.9180, loss_bbox: 0.7433, loss_iou: 1.1147, d0.loss_cls: 2.0259, d0.loss_bbox: 0.7976, d0.loss_iou: 1.1817, d1.loss_cls: 1.9956, d1.loss_bbox: 0.7777, d1.loss_iou: 1.1578, d2.loss_cls: 1.9624, d2.loss_bbox: 0.7601, d2.loss_iou: 1.1347, d3.loss_cls: 1.9418, d3.loss_bbox: 0.7509, d3.loss_iou: 1.1241, d4.loss_cls: 1.9282, d4.loss_bbox: 0.7449, d4.loss_iou: 1.1172, loss: 23.1767, grad_norm: 14.9094 +2022-10-26 22:30:29,970 - mmdet - INFO - Epoch [40][1700/1849] lr: 2.000e-04, eta: 0:42:46, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.9207, loss_bbox: 0.7407, loss_iou: 1.1089, d0.loss_cls: 2.0294, d0.loss_bbox: 0.7964, d0.loss_iou: 1.1785, d1.loss_cls: 1.9946, d1.loss_bbox: 0.7760, d1.loss_iou: 1.1532, d2.loss_cls: 1.9621, d2.loss_bbox: 0.7593, d2.loss_iou: 1.1295, d3.loss_cls: 1.9437, d3.loss_bbox: 0.7490, d3.loss_iou: 1.1189, d4.loss_cls: 1.9291, d4.loss_bbox: 0.7427, d4.loss_iou: 1.1116, loss: 23.1443, grad_norm: 18.0995 +2022-10-26 22:30:36,780 - mmdet - INFO - Epoch [40][1750/1849] lr: 2.000e-04, eta: 0:42:39, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9123, loss_bbox: 0.7399, loss_iou: 1.1051, d0.loss_cls: 2.0240, d0.loss_bbox: 0.7966, d0.loss_iou: 1.1760, d1.loss_cls: 1.9857, d1.loss_bbox: 0.7743, d1.loss_iou: 1.1485, d2.loss_cls: 1.9520, d2.loss_bbox: 0.7589, d2.loss_iou: 1.1252, d3.loss_cls: 1.9328, d3.loss_bbox: 0.7481, d3.loss_iou: 1.1149, d4.loss_cls: 1.9202, d4.loss_bbox: 0.7417, d4.loss_iou: 1.1084, loss: 23.0644, grad_norm: 15.0388 +2022-10-26 22:30:43,584 - mmdet - INFO - Epoch [40][1800/1849] lr: 2.000e-04, eta: 0:42:32, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.9061, loss_bbox: 0.7391, loss_iou: 1.1062, d0.loss_cls: 2.0175, d0.loss_bbox: 0.7969, d0.loss_iou: 1.1750, d1.loss_cls: 1.9836, d1.loss_bbox: 0.7768, d1.loss_iou: 1.1503, d2.loss_cls: 1.9509, d2.loss_bbox: 0.7590, d2.loss_iou: 1.1264, d3.loss_cls: 1.9301, d3.loss_bbox: 0.7475, d3.loss_iou: 1.1156, d4.loss_cls: 1.9148, d4.loss_bbox: 0.7411, d4.loss_iou: 1.1084, loss: 23.0454, grad_norm: 15.8303 +2022-10-26 22:30:50,505 - mmdet - INFO - Saving checkpoint at 40 epochs +2022-10-26 22:31:01,285 - mmdet - INFO - Epoch [41][50/1849] lr: 2.000e-05, eta: 0:42:17, time: 0.203, data_time: 0.063, memory: 4401, loss_cls: 1.8765, loss_bbox: 0.7347, loss_iou: 1.1074, d0.loss_cls: 1.9893, d0.loss_bbox: 0.7920, d0.loss_iou: 1.1803, d1.loss_cls: 1.9582, d1.loss_bbox: 0.7728, d1.loss_iou: 1.1513, d2.loss_cls: 1.9220, d2.loss_bbox: 0.7541, d2.loss_iou: 1.1288, d3.loss_cls: 1.9014, d3.loss_bbox: 0.7439, d3.loss_iou: 1.1166, d4.loss_cls: 1.8864, d4.loss_bbox: 0.7371, d4.loss_iou: 1.1106, loss: 22.8634, grad_norm: 13.2283 +2022-10-26 22:31:08,480 - mmdet - INFO - Epoch [41][100/1849] lr: 2.000e-05, eta: 0:42:11, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.8623, loss_bbox: 0.7339, loss_iou: 1.1032, d0.loss_cls: 1.9863, d0.loss_bbox: 0.7913, d0.loss_iou: 1.1746, d1.loss_cls: 1.9452, d1.loss_bbox: 0.7717, d1.loss_iou: 1.1484, d2.loss_cls: 1.9101, d2.loss_bbox: 0.7537, d2.loss_iou: 1.1244, d3.loss_cls: 1.8882, d3.loss_bbox: 0.7426, d3.loss_iou: 1.1128, d4.loss_cls: 1.8721, d4.loss_bbox: 0.7360, d4.loss_iou: 1.1062, loss: 22.7630, grad_norm: 10.6484 +2022-10-26 22:31:15,563 - mmdet - INFO - Epoch [41][150/1849] lr: 2.000e-05, eta: 0:42:04, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8693, loss_bbox: 0.7247, loss_iou: 1.0937, d0.loss_cls: 1.9855, d0.loss_bbox: 0.7826, d0.loss_iou: 1.1649, d1.loss_cls: 1.9504, d1.loss_bbox: 0.7614, d1.loss_iou: 1.1384, d2.loss_cls: 1.9143, d2.loss_bbox: 0.7438, d2.loss_iou: 1.1150, d3.loss_cls: 1.8919, d3.loss_bbox: 0.7330, d3.loss_iou: 1.1043, d4.loss_cls: 1.8783, d4.loss_bbox: 0.7268, d4.loss_iou: 1.0973, loss: 22.6754, grad_norm: 13.1310 +2022-10-26 22:31:22,536 - mmdet - INFO - Epoch [41][200/1849] lr: 2.000e-05, eta: 0:41:57, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8775, loss_bbox: 0.7340, loss_iou: 1.1041, d0.loss_cls: 1.9975, d0.loss_bbox: 0.7911, d0.loss_iou: 1.1755, d1.loss_cls: 1.9632, d1.loss_bbox: 0.7708, d1.loss_iou: 1.1483, d2.loss_cls: 1.9261, d2.loss_bbox: 0.7539, d2.loss_iou: 1.1253, d3.loss_cls: 1.9035, d3.loss_bbox: 0.7427, d3.loss_iou: 1.1139, d4.loss_cls: 1.8877, d4.loss_bbox: 0.7362, d4.loss_iou: 1.1073, loss: 22.8586, grad_norm: 10.9116 +2022-10-26 22:31:29,367 - mmdet - INFO - Epoch [41][250/1849] lr: 2.000e-05, eta: 0:41:50, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8612, loss_bbox: 0.7286, loss_iou: 1.0994, d0.loss_cls: 1.9815, d0.loss_bbox: 0.7858, d0.loss_iou: 1.1705, d1.loss_cls: 1.9465, d1.loss_bbox: 0.7662, d1.loss_iou: 1.1443, d2.loss_cls: 1.9120, d2.loss_bbox: 0.7480, d2.loss_iou: 1.1210, d3.loss_cls: 1.8883, d3.loss_bbox: 0.7378, d3.loss_iou: 1.1096, d4.loss_cls: 1.8722, d4.loss_bbox: 0.7310, d4.loss_iou: 1.1027, loss: 22.7067, grad_norm: 13.9976 +2022-10-26 22:31:36,337 - mmdet - INFO - Epoch [41][300/1849] lr: 2.000e-05, eta: 0:41:43, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8656, loss_bbox: 0.7280, loss_iou: 1.1013, d0.loss_cls: 1.9847, d0.loss_bbox: 0.7851, d0.loss_iou: 1.1715, d1.loss_cls: 1.9488, d1.loss_bbox: 0.7634, d1.loss_iou: 1.1446, d2.loss_cls: 1.9131, d2.loss_bbox: 0.7461, d2.loss_iou: 1.1217, d3.loss_cls: 1.8908, d3.loss_bbox: 0.7363, d3.loss_iou: 1.1115, d4.loss_cls: 1.8756, d4.loss_bbox: 0.7305, d4.loss_iou: 1.1045, loss: 22.7232, grad_norm: 11.2549 +2022-10-26 22:31:43,315 - mmdet - INFO - Epoch [41][350/1849] lr: 2.000e-05, eta: 0:41:36, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8549, loss_bbox: 0.7252, loss_iou: 1.0917, d0.loss_cls: 1.9730, d0.loss_bbox: 0.7830, d0.loss_iou: 1.1636, d1.loss_cls: 1.9379, d1.loss_bbox: 0.7631, d1.loss_iou: 1.1359, d2.loss_cls: 1.9050, d2.loss_bbox: 0.7447, d2.loss_iou: 1.1125, d3.loss_cls: 1.8788, d3.loss_bbox: 0.7343, d3.loss_iou: 1.1021, d4.loss_cls: 1.8640, d4.loss_bbox: 0.7278, d4.loss_iou: 1.0949, loss: 22.5921, grad_norm: 12.2689 +2022-10-26 22:31:50,269 - mmdet - INFO - Epoch [41][400/1849] lr: 2.000e-05, eta: 0:41:29, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8582, loss_bbox: 0.7248, loss_iou: 1.0983, d0.loss_cls: 1.9794, d0.loss_bbox: 0.7825, d0.loss_iou: 1.1715, d1.loss_cls: 1.9421, d1.loss_bbox: 0.7623, d1.loss_iou: 1.1437, d2.loss_cls: 1.9063, d2.loss_bbox: 0.7442, d2.loss_iou: 1.1207, d3.loss_cls: 1.8821, d3.loss_bbox: 0.7327, d3.loss_iou: 1.1086, d4.loss_cls: 1.8673, d4.loss_bbox: 0.7265, d4.loss_iou: 1.1015, loss: 22.6527, grad_norm: 11.1193 +2022-10-26 22:31:57,164 - mmdet - INFO - Epoch [41][450/1849] lr: 2.000e-05, eta: 0:41:23, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8569, loss_bbox: 0.7297, loss_iou: 1.0976, d0.loss_cls: 1.9766, d0.loss_bbox: 0.7864, d0.loss_iou: 1.1689, d1.loss_cls: 1.9424, d1.loss_bbox: 0.7664, d1.loss_iou: 1.1423, d2.loss_cls: 1.9052, d2.loss_bbox: 0.7485, d2.loss_iou: 1.1186, d3.loss_cls: 1.8801, d3.loss_bbox: 0.7378, d3.loss_iou: 1.1084, d4.loss_cls: 1.8669, d4.loss_bbox: 0.7318, d4.loss_iou: 1.1010, loss: 22.6658, grad_norm: 11.0504 +2022-10-26 22:32:04,268 - mmdet - INFO - Epoch [41][500/1849] lr: 2.000e-05, eta: 0:41:16, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8345, loss_bbox: 0.7263, loss_iou: 1.0956, d0.loss_cls: 1.9546, d0.loss_bbox: 0.7834, d0.loss_iou: 1.1665, d1.loss_cls: 1.9173, d1.loss_bbox: 0.7640, d1.loss_iou: 1.1402, d2.loss_cls: 1.8850, d2.loss_bbox: 0.7461, d2.loss_iou: 1.1164, d3.loss_cls: 1.8621, d3.loss_bbox: 0.7344, d3.loss_iou: 1.1052, d4.loss_cls: 1.8437, d4.loss_bbox: 0.7284, d4.loss_iou: 1.0985, loss: 22.5023, grad_norm: 11.2061 +2022-10-26 22:32:11,299 - mmdet - INFO - Epoch [41][550/1849] lr: 2.000e-05, eta: 0:41:09, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8596, loss_bbox: 0.7260, loss_iou: 1.0961, d0.loss_cls: 1.9774, d0.loss_bbox: 0.7834, d0.loss_iou: 1.1690, d1.loss_cls: 1.9417, d1.loss_bbox: 0.7625, d1.loss_iou: 1.1412, d2.loss_cls: 1.9097, d2.loss_bbox: 0.7453, d2.loss_iou: 1.1174, d3.loss_cls: 1.8854, d3.loss_bbox: 0.7347, d3.loss_iou: 1.1057, d4.loss_cls: 1.8687, d4.loss_bbox: 0.7285, d4.loss_iou: 1.0994, loss: 22.6517, grad_norm: 11.6381 +2022-10-26 22:32:18,178 - mmdet - INFO - Epoch [41][600/1849] lr: 2.000e-05, eta: 0:41:02, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8429, loss_bbox: 0.7231, loss_iou: 1.0865, d0.loss_cls: 1.9626, d0.loss_bbox: 0.7822, d0.loss_iou: 1.1590, d1.loss_cls: 1.9299, d1.loss_bbox: 0.7605, d1.loss_iou: 1.1321, d2.loss_cls: 1.8939, d2.loss_bbox: 0.7429, d2.loss_iou: 1.1078, d3.loss_cls: 1.8697, d3.loss_bbox: 0.7318, d3.loss_iou: 1.0967, d4.loss_cls: 1.8535, d4.loss_bbox: 0.7254, d4.loss_iou: 1.0894, loss: 22.4896, grad_norm: 12.7520 +2022-10-26 22:32:25,163 - mmdet - INFO - Epoch [41][650/1849] lr: 2.000e-05, eta: 0:40:55, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8430, loss_bbox: 0.7278, loss_iou: 1.0968, d0.loss_cls: 1.9637, d0.loss_bbox: 0.7846, d0.loss_iou: 1.1690, d1.loss_cls: 1.9259, d1.loss_bbox: 0.7644, d1.loss_iou: 1.1419, d2.loss_cls: 1.8904, d2.loss_bbox: 0.7464, d2.loss_iou: 1.1184, d3.loss_cls: 1.8706, d3.loss_bbox: 0.7366, d3.loss_iou: 1.1065, d4.loss_cls: 1.8545, d4.loss_bbox: 0.7301, d4.loss_iou: 1.0997, loss: 22.5705, grad_norm: 11.3759 +2022-10-26 22:32:32,117 - mmdet - INFO - Epoch [41][700/1849] lr: 2.000e-05, eta: 0:40:48, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8424, loss_bbox: 0.7246, loss_iou: 1.0924, d0.loss_cls: 1.9608, d0.loss_bbox: 0.7814, d0.loss_iou: 1.1649, d1.loss_cls: 1.9270, d1.loss_bbox: 0.7625, d1.loss_iou: 1.1371, d2.loss_cls: 1.8917, d2.loss_bbox: 0.7437, d2.loss_iou: 1.1137, d3.loss_cls: 1.8678, d3.loss_bbox: 0.7338, d3.loss_iou: 1.1022, d4.loss_cls: 1.8523, d4.loss_bbox: 0.7275, d4.loss_iou: 1.0956, loss: 22.5214, grad_norm: 13.2016 +2022-10-26 22:32:39,027 - mmdet - INFO - Epoch [41][750/1849] lr: 2.000e-05, eta: 0:40:41, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8416, loss_bbox: 0.7248, loss_iou: 1.0956, d0.loss_cls: 1.9641, d0.loss_bbox: 0.7821, d0.loss_iou: 1.1667, d1.loss_cls: 1.9290, d1.loss_bbox: 0.7625, d1.loss_iou: 1.1398, d2.loss_cls: 1.8921, d2.loss_bbox: 0.7444, d2.loss_iou: 1.1165, d3.loss_cls: 1.8683, d3.loss_bbox: 0.7332, d3.loss_iou: 1.1056, d4.loss_cls: 1.8508, d4.loss_bbox: 0.7275, d4.loss_iou: 1.0988, loss: 22.5436, grad_norm: 10.8428 +2022-10-26 22:32:46,082 - mmdet - INFO - Epoch [41][800/1849] lr: 2.000e-05, eta: 0:40:35, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8392, loss_bbox: 0.7255, loss_iou: 1.0992, d0.loss_cls: 1.9611, d0.loss_bbox: 0.7823, d0.loss_iou: 1.1699, d1.loss_cls: 1.9219, d1.loss_bbox: 0.7621, d1.loss_iou: 1.1438, d2.loss_cls: 1.8877, d2.loss_bbox: 0.7447, d2.loss_iou: 1.1202, d3.loss_cls: 1.8663, d3.loss_bbox: 0.7345, d3.loss_iou: 1.1089, d4.loss_cls: 1.8493, d4.loss_bbox: 0.7278, d4.loss_iou: 1.1022, loss: 22.5469, grad_norm: 11.7105 +2022-10-26 22:32:53,120 - mmdet - INFO - Epoch [41][850/1849] lr: 2.000e-05, eta: 0:40:28, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8490, loss_bbox: 0.7249, loss_iou: 1.0959, d0.loss_cls: 1.9738, d0.loss_bbox: 0.7843, d0.loss_iou: 1.1691, d1.loss_cls: 1.9362, d1.loss_bbox: 0.7621, d1.loss_iou: 1.1416, d2.loss_cls: 1.9009, d2.loss_bbox: 0.7445, d2.loss_iou: 1.1167, d3.loss_cls: 1.8755, d3.loss_bbox: 0.7332, d3.loss_iou: 1.1063, d4.loss_cls: 1.8599, d4.loss_bbox: 0.7270, d4.loss_iou: 1.0996, loss: 22.6006, grad_norm: 11.7970 +2022-10-26 22:33:00,145 - mmdet - INFO - Epoch [41][900/1849] lr: 2.000e-05, eta: 0:40:21, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8522, loss_bbox: 0.7255, loss_iou: 1.0985, d0.loss_cls: 1.9731, d0.loss_bbox: 0.7836, d0.loss_iou: 1.1683, d1.loss_cls: 1.9353, d1.loss_bbox: 0.7634, d1.loss_iou: 1.1416, d2.loss_cls: 1.8996, d2.loss_bbox: 0.7460, d2.loss_iou: 1.1182, d3.loss_cls: 1.8767, d3.loss_bbox: 0.7343, d3.loss_iou: 1.1077, d4.loss_cls: 1.8618, d4.loss_bbox: 0.7277, d4.loss_iou: 1.1016, loss: 22.6149, grad_norm: 10.9362 +2022-10-26 22:33:07,161 - mmdet - INFO - Epoch [41][950/1849] lr: 2.000e-05, eta: 0:40:14, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8622, loss_bbox: 0.7234, loss_iou: 1.0915, d0.loss_cls: 1.9863, d0.loss_bbox: 0.7814, d0.loss_iou: 1.1642, d1.loss_cls: 1.9480, d1.loss_bbox: 0.7598, d1.loss_iou: 1.1359, d2.loss_cls: 1.9097, d2.loss_bbox: 0.7423, d2.loss_iou: 1.1129, d3.loss_cls: 1.8871, d3.loss_bbox: 0.7322, d3.loss_iou: 1.1016, d4.loss_cls: 1.8710, d4.loss_bbox: 0.7257, d4.loss_iou: 1.0948, loss: 22.6302, grad_norm: 10.8033 +2022-10-26 22:33:14,175 - mmdet - INFO - Epoch [41][1000/1849] lr: 2.000e-05, eta: 0:40:07, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8514, loss_bbox: 0.7256, loss_iou: 1.0918, d0.loss_cls: 1.9774, d0.loss_bbox: 0.7843, d0.loss_iou: 1.1643, d1.loss_cls: 1.9401, d1.loss_bbox: 0.7630, d1.loss_iou: 1.1380, d2.loss_cls: 1.9009, d2.loss_bbox: 0.7455, d2.loss_iou: 1.1138, d3.loss_cls: 1.8766, d3.loss_bbox: 0.7347, d3.loss_iou: 1.1021, d4.loss_cls: 1.8615, d4.loss_bbox: 0.7285, d4.loss_iou: 1.0951, loss: 22.5947, grad_norm: 11.3845 +2022-10-26 22:33:20,989 - mmdet - INFO - Epoch [41][1050/1849] lr: 2.000e-05, eta: 0:40:00, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8442, loss_bbox: 0.7220, loss_iou: 1.0880, d0.loss_cls: 1.9669, d0.loss_bbox: 0.7795, d0.loss_iou: 1.1606, d1.loss_cls: 1.9298, d1.loss_bbox: 0.7577, d1.loss_iou: 1.1330, d2.loss_cls: 1.8938, d2.loss_bbox: 0.7413, d2.loss_iou: 1.1099, d3.loss_cls: 1.8699, d3.loss_bbox: 0.7307, d3.loss_iou: 1.0984, d4.loss_cls: 1.8552, d4.loss_bbox: 0.7240, d4.loss_iou: 1.0911, loss: 22.4962, grad_norm: 11.4738 +2022-10-26 22:33:27,720 - mmdet - INFO - Epoch [41][1100/1849] lr: 2.000e-05, eta: 0:39:53, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8466, loss_bbox: 0.7244, loss_iou: 1.0906, d0.loss_cls: 1.9630, d0.loss_bbox: 0.7821, d0.loss_iou: 1.1625, d1.loss_cls: 1.9288, d1.loss_bbox: 0.7608, d1.loss_iou: 1.1357, d2.loss_cls: 1.8958, d2.loss_bbox: 0.7441, d2.loss_iou: 1.1118, d3.loss_cls: 1.8717, d3.loss_bbox: 0.7338, d3.loss_iou: 1.1003, d4.loss_cls: 1.8562, d4.loss_bbox: 0.7271, d4.loss_iou: 1.0936, loss: 22.5289, grad_norm: 10.9365 +2022-10-26 22:33:34,544 - mmdet - INFO - Epoch [41][1150/1849] lr: 2.000e-05, eta: 0:39:46, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8553, loss_bbox: 0.7202, loss_iou: 1.0938, d0.loss_cls: 1.9822, d0.loss_bbox: 0.7793, d0.loss_iou: 1.1654, d1.loss_cls: 1.9439, d1.loss_bbox: 0.7583, d1.loss_iou: 1.1384, d2.loss_cls: 1.9063, d2.loss_bbox: 0.7407, d2.loss_iou: 1.1147, d3.loss_cls: 1.8816, d3.loss_bbox: 0.7295, d3.loss_iou: 1.1035, d4.loss_cls: 1.8658, d4.loss_bbox: 0.7227, d4.loss_iou: 1.0965, loss: 22.5983, grad_norm: 10.9761 +2022-10-26 22:33:41,600 - mmdet - INFO - Epoch [41][1200/1849] lr: 2.000e-05, eta: 0:39:40, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8395, loss_bbox: 0.7214, loss_iou: 1.0864, d0.loss_cls: 1.9635, d0.loss_bbox: 0.7795, d0.loss_iou: 1.1597, d1.loss_cls: 1.9240, d1.loss_bbox: 0.7586, d1.loss_iou: 1.1324, d2.loss_cls: 1.8903, d2.loss_bbox: 0.7412, d2.loss_iou: 1.1082, d3.loss_cls: 1.8671, d3.loss_bbox: 0.7299, d3.loss_iou: 1.0966, d4.loss_cls: 1.8495, d4.loss_bbox: 0.7239, d4.loss_iou: 1.0897, loss: 22.4613, grad_norm: 11.4538 +2022-10-26 22:33:48,432 - mmdet - INFO - Epoch [41][1250/1849] lr: 2.000e-05, eta: 0:39:33, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8566, loss_bbox: 0.7233, loss_iou: 1.0881, d0.loss_cls: 1.9782, d0.loss_bbox: 0.7827, d0.loss_iou: 1.1601, d1.loss_cls: 1.9415, d1.loss_bbox: 0.7602, d1.loss_iou: 1.1322, d2.loss_cls: 1.9058, d2.loss_bbox: 0.7426, d2.loss_iou: 1.1090, d3.loss_cls: 1.8811, d3.loss_bbox: 0.7319, d3.loss_iou: 1.0985, d4.loss_cls: 1.8653, d4.loss_bbox: 0.7260, d4.loss_iou: 1.0913, loss: 22.5745, grad_norm: 11.1021 +2022-10-26 22:33:55,281 - mmdet - INFO - Epoch [41][1300/1849] lr: 2.000e-05, eta: 0:39:26, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8538, loss_bbox: 0.7258, loss_iou: 1.0910, d0.loss_cls: 1.9760, d0.loss_bbox: 0.7841, d0.loss_iou: 1.1620, d1.loss_cls: 1.9383, d1.loss_bbox: 0.7618, d1.loss_iou: 1.1353, d2.loss_cls: 1.9025, d2.loss_bbox: 0.7448, d2.loss_iou: 1.1111, d3.loss_cls: 1.8790, d3.loss_bbox: 0.7340, d3.loss_iou: 1.1005, d4.loss_cls: 1.8621, d4.loss_bbox: 0.7280, d4.loss_iou: 1.0942, loss: 22.5845, grad_norm: 11.5655 +2022-10-26 22:34:02,101 - mmdet - INFO - Epoch [41][1350/1849] lr: 2.000e-05, eta: 0:39:19, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8545, loss_bbox: 0.7268, loss_iou: 1.0912, d0.loss_cls: 1.9798, d0.loss_bbox: 0.7842, d0.loss_iou: 1.1636, d1.loss_cls: 1.9411, d1.loss_bbox: 0.7634, d1.loss_iou: 1.1361, d2.loss_cls: 1.9052, d2.loss_bbox: 0.7456, d2.loss_iou: 1.1117, d3.loss_cls: 1.8807, d3.loss_bbox: 0.7344, d3.loss_iou: 1.1010, d4.loss_cls: 1.8665, d4.loss_bbox: 0.7291, d4.loss_iou: 1.0942, loss: 22.6092, grad_norm: 11.4040 +2022-10-26 22:34:09,046 - mmdet - INFO - Epoch [41][1400/1849] lr: 2.000e-05, eta: 0:39:12, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8614, loss_bbox: 0.7279, loss_iou: 1.0946, d0.loss_cls: 1.9851, d0.loss_bbox: 0.7858, d0.loss_iou: 1.1665, d1.loss_cls: 1.9454, d1.loss_bbox: 0.7640, d1.loss_iou: 1.1382, d2.loss_cls: 1.9103, d2.loss_bbox: 0.7464, d2.loss_iou: 1.1149, d3.loss_cls: 1.8867, d3.loss_bbox: 0.7358, d3.loss_iou: 1.1040, d4.loss_cls: 1.8702, d4.loss_bbox: 0.7302, d4.loss_iou: 1.0974, loss: 22.6648, grad_norm: 12.0521 +2022-10-26 22:34:15,793 - mmdet - INFO - Epoch [41][1450/1849] lr: 2.000e-05, eta: 0:39:05, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8364, loss_bbox: 0.7220, loss_iou: 1.0889, d0.loss_cls: 1.9581, d0.loss_bbox: 0.7791, d0.loss_iou: 1.1619, d1.loss_cls: 1.9221, d1.loss_bbox: 0.7591, d1.loss_iou: 1.1346, d2.loss_cls: 1.8871, d2.loss_bbox: 0.7413, d2.loss_iou: 1.1098, d3.loss_cls: 1.8629, d3.loss_bbox: 0.7300, d3.loss_iou: 1.0994, d4.loss_cls: 1.8472, d4.loss_bbox: 0.7243, d4.loss_iou: 1.0916, loss: 22.4558, grad_norm: 11.4556 +2022-10-26 22:34:22,822 - mmdet - INFO - Epoch [41][1500/1849] lr: 2.000e-05, eta: 0:38:58, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8529, loss_bbox: 0.7223, loss_iou: 1.0887, d0.loss_cls: 1.9750, d0.loss_bbox: 0.7801, d0.loss_iou: 1.1613, d1.loss_cls: 1.9414, d1.loss_bbox: 0.7590, d1.loss_iou: 1.1337, d2.loss_cls: 1.9032, d2.loss_bbox: 0.7418, d2.loss_iou: 1.1103, d3.loss_cls: 1.8807, d3.loss_bbox: 0.7311, d3.loss_iou: 1.0987, d4.loss_cls: 1.8640, d4.loss_bbox: 0.7247, d4.loss_iou: 1.0918, loss: 22.5609, grad_norm: 11.6020 +2022-10-26 22:34:29,765 - mmdet - INFO - Epoch [41][1550/1849] lr: 2.000e-05, eta: 0:38:51, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8536, loss_bbox: 0.7253, loss_iou: 1.0888, d0.loss_cls: 1.9805, d0.loss_bbox: 0.7838, d0.loss_iou: 1.1617, d1.loss_cls: 1.9423, d1.loss_bbox: 0.7618, d1.loss_iou: 1.1340, d2.loss_cls: 1.9050, d2.loss_bbox: 0.7443, d2.loss_iou: 1.1098, d3.loss_cls: 1.8832, d3.loss_bbox: 0.7333, d3.loss_iou: 1.0983, d4.loss_cls: 1.8637, d4.loss_bbox: 0.7274, d4.loss_iou: 1.0918, loss: 22.5886, grad_norm: 11.9273 +2022-10-26 22:34:36,583 - mmdet - INFO - Epoch [41][1600/1849] lr: 2.000e-05, eta: 0:38:45, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8625, loss_bbox: 0.7249, loss_iou: 1.0916, d0.loss_cls: 1.9849, d0.loss_bbox: 0.7832, d0.loss_iou: 1.1645, d1.loss_cls: 1.9498, d1.loss_bbox: 0.7626, d1.loss_iou: 1.1378, d2.loss_cls: 1.9133, d2.loss_bbox: 0.7443, d2.loss_iou: 1.1120, d3.loss_cls: 1.8906, d3.loss_bbox: 0.7334, d3.loss_iou: 1.1012, d4.loss_cls: 1.8735, d4.loss_bbox: 0.7270, d4.loss_iou: 1.0942, loss: 22.6511, grad_norm: 11.6932 +2022-10-26 22:34:43,434 - mmdet - INFO - Epoch [41][1650/1849] lr: 2.000e-05, eta: 0:38:38, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8476, loss_bbox: 0.7220, loss_iou: 1.0898, d0.loss_cls: 1.9706, d0.loss_bbox: 0.7799, d0.loss_iou: 1.1620, d1.loss_cls: 1.9365, d1.loss_bbox: 0.7587, d1.loss_iou: 1.1349, d2.loss_cls: 1.8978, d2.loss_bbox: 0.7412, d2.loss_iou: 1.1113, d3.loss_cls: 1.8746, d3.loss_bbox: 0.7307, d3.loss_iou: 1.0998, d4.loss_cls: 1.8581, d4.loss_bbox: 0.7247, d4.loss_iou: 1.0932, loss: 22.5333, grad_norm: 11.4358 +2022-10-26 22:34:50,258 - mmdet - INFO - Epoch [41][1700/1849] lr: 2.000e-05, eta: 0:38:31, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8509, loss_bbox: 0.7236, loss_iou: 1.0910, d0.loss_cls: 1.9760, d0.loss_bbox: 0.7823, d0.loss_iou: 1.1626, d1.loss_cls: 1.9384, d1.loss_bbox: 0.7614, d1.loss_iou: 1.1364, d2.loss_cls: 1.9028, d2.loss_bbox: 0.7430, d2.loss_iou: 1.1127, d3.loss_cls: 1.8800, d3.loss_bbox: 0.7321, d3.loss_iou: 1.1009, d4.loss_cls: 1.8624, d4.loss_bbox: 0.7259, d4.loss_iou: 1.0938, loss: 22.5760, grad_norm: 11.1223 +2022-10-26 22:34:57,272 - mmdet - INFO - Epoch [41][1750/1849] lr: 2.000e-05, eta: 0:38:24, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8370, loss_bbox: 0.7242, loss_iou: 1.0904, d0.loss_cls: 1.9580, d0.loss_bbox: 0.7822, d0.loss_iou: 1.1619, d1.loss_cls: 1.9221, d1.loss_bbox: 0.7612, d1.loss_iou: 1.1356, d2.loss_cls: 1.8866, d2.loss_bbox: 0.7437, d2.loss_iou: 1.1114, d3.loss_cls: 1.8626, d3.loss_bbox: 0.7328, d3.loss_iou: 1.0999, d4.loss_cls: 1.8494, d4.loss_bbox: 0.7267, d4.loss_iou: 1.0930, loss: 22.4788, grad_norm: 12.8772 +2022-10-26 22:35:04,117 - mmdet - INFO - Epoch [41][1800/1849] lr: 2.000e-05, eta: 0:38:17, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8480, loss_bbox: 0.7232, loss_iou: 1.0883, d0.loss_cls: 1.9731, d0.loss_bbox: 0.7802, d0.loss_iou: 1.1612, d1.loss_cls: 1.9321, d1.loss_bbox: 0.7603, d1.loss_iou: 1.1341, d2.loss_cls: 1.8973, d2.loss_bbox: 0.7422, d2.loss_iou: 1.1102, d3.loss_cls: 1.8764, d3.loss_bbox: 0.7320, d3.loss_iou: 1.0981, d4.loss_cls: 1.8580, d4.loss_bbox: 0.7254, d4.loss_iou: 1.0915, loss: 22.5317, grad_norm: 12.0889 +2022-10-26 22:35:10,955 - mmdet - INFO - Saving checkpoint at 41 epochs +2022-10-26 22:35:21,755 - mmdet - INFO - Epoch [42][50/1849] lr: 2.000e-05, eta: 0:38:03, time: 0.204, data_time: 0.063, memory: 4401, loss_cls: 1.8245, loss_bbox: 0.7188, loss_iou: 1.0863, d0.loss_cls: 1.9475, d0.loss_bbox: 0.7780, d0.loss_iou: 1.1592, d1.loss_cls: 1.9153, d1.loss_bbox: 0.7563, d1.loss_iou: 1.1328, d2.loss_cls: 1.8791, d2.loss_bbox: 0.7385, d2.loss_iou: 1.1084, d3.loss_cls: 1.8541, d3.loss_bbox: 0.7276, d3.loss_iou: 1.0962, d4.loss_cls: 1.8351, d4.loss_bbox: 0.7213, d4.loss_iou: 1.0894, loss: 22.3685, grad_norm: 12.0571 +2022-10-26 22:35:28,845 - mmdet - INFO - Epoch [42][100/1849] lr: 2.000e-05, eta: 0:37:56, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8367, loss_bbox: 0.7222, loss_iou: 1.0941, d0.loss_cls: 1.9638, d0.loss_bbox: 0.7810, d0.loss_iou: 1.1667, d1.loss_cls: 1.9239, d1.loss_bbox: 0.7591, d1.loss_iou: 1.1399, d2.loss_cls: 1.8871, d2.loss_bbox: 0.7416, d2.loss_iou: 1.1156, d3.loss_cls: 1.8630, d3.loss_bbox: 0.7311, d3.loss_iou: 1.1047, d4.loss_cls: 1.8470, d4.loss_bbox: 0.7244, d4.loss_iou: 1.0973, loss: 22.4991, grad_norm: 12.4705 +2022-10-26 22:35:35,751 - mmdet - INFO - Epoch [42][150/1849] lr: 2.000e-05, eta: 0:37:49, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8476, loss_bbox: 0.7266, loss_iou: 1.0877, d0.loss_cls: 1.9694, d0.loss_bbox: 0.7843, d0.loss_iou: 1.1611, d1.loss_cls: 1.9318, d1.loss_bbox: 0.7628, d1.loss_iou: 1.1335, d2.loss_cls: 1.8955, d2.loss_bbox: 0.7460, d2.loss_iou: 1.1092, d3.loss_cls: 1.8736, d3.loss_bbox: 0.7344, d3.loss_iou: 1.0977, d4.loss_cls: 1.8567, d4.loss_bbox: 0.7284, d4.loss_iou: 1.0911, loss: 22.5372, grad_norm: 11.9320 +2022-10-26 22:35:42,667 - mmdet - INFO - Epoch [42][200/1849] lr: 2.000e-05, eta: 0:37:42, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8417, loss_bbox: 0.7272, loss_iou: 1.0903, d0.loss_cls: 1.9621, d0.loss_bbox: 0.7846, d0.loss_iou: 1.1598, d1.loss_cls: 1.9301, d1.loss_bbox: 0.7631, d1.loss_iou: 1.1338, d2.loss_cls: 1.8939, d2.loss_bbox: 0.7458, d2.loss_iou: 1.1103, d3.loss_cls: 1.8680, d3.loss_bbox: 0.7356, d3.loss_iou: 1.0994, d4.loss_cls: 1.8531, d4.loss_bbox: 0.7292, d4.loss_iou: 1.0936, loss: 22.5216, grad_norm: 11.3740 +2022-10-26 22:35:49,526 - mmdet - INFO - Epoch [42][250/1849] lr: 2.000e-05, eta: 0:37:35, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8378, loss_bbox: 0.7198, loss_iou: 1.0879, d0.loss_cls: 1.9610, d0.loss_bbox: 0.7783, d0.loss_iou: 1.1607, d1.loss_cls: 1.9248, d1.loss_bbox: 0.7575, d1.loss_iou: 1.1340, d2.loss_cls: 1.8871, d2.loss_bbox: 0.7398, d2.loss_iou: 1.1095, d3.loss_cls: 1.8633, d3.loss_bbox: 0.7285, d3.loss_iou: 1.0984, d4.loss_cls: 1.8482, d4.loss_bbox: 0.7221, d4.loss_iou: 1.0911, loss: 22.4499, grad_norm: 11.3512 +2022-10-26 22:35:56,139 - mmdet - INFO - Epoch [42][300/1849] lr: 2.000e-05, eta: 0:37:28, time: 0.132, data_time: 0.004, memory: 4401, loss_cls: 1.8335, loss_bbox: 0.7196, loss_iou: 1.0874, d0.loss_cls: 1.9586, d0.loss_bbox: 0.7773, d0.loss_iou: 1.1596, d1.loss_cls: 1.9205, d1.loss_bbox: 0.7564, d1.loss_iou: 1.1325, d2.loss_cls: 1.8870, d2.loss_bbox: 0.7390, d2.loss_iou: 1.1079, d3.loss_cls: 1.8604, d3.loss_bbox: 0.7283, d3.loss_iou: 1.0970, d4.loss_cls: 1.8459, d4.loss_bbox: 0.7220, d4.loss_iou: 1.0906, loss: 22.4235, grad_norm: 10.9001 +2022-10-26 22:36:03,100 - mmdet - INFO - Epoch [42][350/1849] lr: 2.000e-05, eta: 0:37:21, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8279, loss_bbox: 0.7250, loss_iou: 1.0902, d0.loss_cls: 1.9491, d0.loss_bbox: 0.7828, d0.loss_iou: 1.1625, d1.loss_cls: 1.9110, d1.loss_bbox: 0.7611, d1.loss_iou: 1.1341, d2.loss_cls: 1.8761, d2.loss_bbox: 0.7434, d2.loss_iou: 1.1102, d3.loss_cls: 1.8526, d3.loss_bbox: 0.7327, d3.loss_iou: 1.0993, d4.loss_cls: 1.8369, d4.loss_bbox: 0.7270, d4.loss_iou: 1.0929, loss: 22.4147, grad_norm: 11.8085 +2022-10-26 22:36:10,101 - mmdet - INFO - Epoch [42][400/1849] lr: 2.000e-05, eta: 0:37:14, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8452, loss_bbox: 0.7225, loss_iou: 1.0855, d0.loss_cls: 1.9697, d0.loss_bbox: 0.7804, d0.loss_iou: 1.1571, d1.loss_cls: 1.9335, d1.loss_bbox: 0.7585, d1.loss_iou: 1.1307, d2.loss_cls: 1.8958, d2.loss_bbox: 0.7415, d2.loss_iou: 1.1072, d3.loss_cls: 1.8712, d3.loss_bbox: 0.7310, d3.loss_iou: 1.0954, d4.loss_cls: 1.8550, d4.loss_bbox: 0.7248, d4.loss_iou: 1.0887, loss: 22.4939, grad_norm: 10.9614 +2022-10-26 22:36:17,010 - mmdet - INFO - Epoch [42][450/1849] lr: 2.000e-05, eta: 0:37:08, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8340, loss_bbox: 0.7207, loss_iou: 1.0886, d0.loss_cls: 1.9576, d0.loss_bbox: 0.7792, d0.loss_iou: 1.1613, d1.loss_cls: 1.9205, d1.loss_bbox: 0.7580, d1.loss_iou: 1.1340, d2.loss_cls: 1.8878, d2.loss_bbox: 0.7405, d2.loss_iou: 1.1101, d3.loss_cls: 1.8607, d3.loss_bbox: 0.7298, d3.loss_iou: 1.0983, d4.loss_cls: 1.8445, d4.loss_bbox: 0.7234, d4.loss_iou: 1.0916, loss: 22.4403, grad_norm: 12.0497 +2022-10-26 22:36:23,855 - mmdet - INFO - Epoch [42][500/1849] lr: 2.000e-05, eta: 0:37:01, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8367, loss_bbox: 0.7228, loss_iou: 1.0912, d0.loss_cls: 1.9588, d0.loss_bbox: 0.7807, d0.loss_iou: 1.1632, d1.loss_cls: 1.9237, d1.loss_bbox: 0.7594, d1.loss_iou: 1.1355, d2.loss_cls: 1.8834, d2.loss_bbox: 0.7424, d2.loss_iou: 1.1117, d3.loss_cls: 1.8613, d3.loss_bbox: 0.7313, d3.loss_iou: 1.1010, d4.loss_cls: 1.8461, d4.loss_bbox: 0.7249, d4.loss_iou: 1.0945, loss: 22.4686, grad_norm: 10.8762 +2022-10-26 22:36:30,767 - mmdet - INFO - Epoch [42][550/1849] lr: 2.000e-05, eta: 0:36:54, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8385, loss_bbox: 0.7217, loss_iou: 1.0897, d0.loss_cls: 1.9624, d0.loss_bbox: 0.7812, d0.loss_iou: 1.1619, d1.loss_cls: 1.9256, d1.loss_bbox: 0.7585, d1.loss_iou: 1.1340, d2.loss_cls: 1.8861, d2.loss_bbox: 0.7412, d2.loss_iou: 1.1111, d3.loss_cls: 1.8644, d3.loss_bbox: 0.7300, d3.loss_iou: 1.0999, d4.loss_cls: 1.8494, d4.loss_bbox: 0.7241, d4.loss_iou: 1.0927, loss: 22.4724, grad_norm: 12.0289 +2022-10-26 22:36:37,666 - mmdet - INFO - Epoch [42][600/1849] lr: 2.000e-05, eta: 0:36:47, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8412, loss_bbox: 0.7193, loss_iou: 1.0896, d0.loss_cls: 1.9686, d0.loss_bbox: 0.7788, d0.loss_iou: 1.1623, d1.loss_cls: 1.9280, d1.loss_bbox: 0.7572, d1.loss_iou: 1.1346, d2.loss_cls: 1.8926, d2.loss_bbox: 0.7391, d2.loss_iou: 1.1111, d3.loss_cls: 1.8659, d3.loss_bbox: 0.7286, d3.loss_iou: 1.1001, d4.loss_cls: 1.8515, d4.loss_bbox: 0.7222, d4.loss_iou: 1.0928, loss: 22.4832, grad_norm: 11.3149 +2022-10-26 22:36:44,413 - mmdet - INFO - Epoch [42][650/1849] lr: 2.000e-05, eta: 0:36:40, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8383, loss_bbox: 0.7200, loss_iou: 1.0863, d0.loss_cls: 1.9631, d0.loss_bbox: 0.7804, d0.loss_iou: 1.1593, d1.loss_cls: 1.9274, d1.loss_bbox: 0.7580, d1.loss_iou: 1.1309, d2.loss_cls: 1.8923, d2.loss_bbox: 0.7395, d2.loss_iou: 1.1074, d3.loss_cls: 1.8666, d3.loss_bbox: 0.7284, d3.loss_iou: 1.0957, d4.loss_cls: 1.8500, d4.loss_bbox: 0.7223, d4.loss_iou: 1.0892, loss: 22.4551, grad_norm: 11.6802 +2022-10-26 22:36:51,363 - mmdet - INFO - Epoch [42][700/1849] lr: 2.000e-05, eta: 0:36:33, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8321, loss_bbox: 0.7185, loss_iou: 1.0895, d0.loss_cls: 1.9571, d0.loss_bbox: 0.7767, d0.loss_iou: 1.1628, d1.loss_cls: 1.9197, d1.loss_bbox: 0.7560, d1.loss_iou: 1.1347, d2.loss_cls: 1.8837, d2.loss_bbox: 0.7385, d2.loss_iou: 1.1109, d3.loss_cls: 1.8598, d3.loss_bbox: 0.7278, d3.loss_iou: 1.0996, d4.loss_cls: 1.8424, d4.loss_bbox: 0.7210, d4.loss_iou: 1.0928, loss: 22.4238, grad_norm: 12.5481 +2022-10-26 22:36:57,981 - mmdet - INFO - Epoch [42][750/1849] lr: 2.000e-05, eta: 0:36:26, time: 0.132, data_time: 0.005, memory: 4401, loss_cls: 1.8466, loss_bbox: 0.7187, loss_iou: 1.0870, d0.loss_cls: 1.9709, d0.loss_bbox: 0.7777, d0.loss_iou: 1.1609, d1.loss_cls: 1.9337, d1.loss_bbox: 0.7565, d1.loss_iou: 1.1333, d2.loss_cls: 1.8986, d2.loss_bbox: 0.7391, d2.loss_iou: 1.1087, d3.loss_cls: 1.8766, d3.loss_bbox: 0.7278, d3.loss_iou: 1.0969, d4.loss_cls: 1.8580, d4.loss_bbox: 0.7213, d4.loss_iou: 1.0898, loss: 22.5021, grad_norm: 12.5872 +2022-10-26 22:37:04,803 - mmdet - INFO - Epoch [42][800/1849] lr: 2.000e-05, eta: 0:36:19, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8343, loss_bbox: 0.7159, loss_iou: 1.0872, d0.loss_cls: 1.9609, d0.loss_bbox: 0.7749, d0.loss_iou: 1.1610, d1.loss_cls: 1.9233, d1.loss_bbox: 0.7531, d1.loss_iou: 1.1321, d2.loss_cls: 1.8869, d2.loss_bbox: 0.7347, d2.loss_iou: 1.1084, d3.loss_cls: 1.8618, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0973, d4.loss_cls: 1.8447, d4.loss_bbox: 0.7179, d4.loss_iou: 1.0905, loss: 22.4089, grad_norm: 12.4399 +2022-10-26 22:37:11,509 - mmdet - INFO - Epoch [42][850/1849] lr: 2.000e-05, eta: 0:36:12, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.8365, loss_bbox: 0.7190, loss_iou: 1.0866, d0.loss_cls: 1.9590, d0.loss_bbox: 0.7770, d0.loss_iou: 1.1598, d1.loss_cls: 1.9231, d1.loss_bbox: 0.7565, d1.loss_iou: 1.1329, d2.loss_cls: 1.8873, d2.loss_bbox: 0.7383, d2.loss_iou: 1.1079, d3.loss_cls: 1.8619, d3.loss_bbox: 0.7274, d3.loss_iou: 1.0968, d4.loss_cls: 1.8469, d4.loss_bbox: 0.7211, d4.loss_iou: 1.0900, loss: 22.4281, grad_norm: 11.8396 +2022-10-26 22:37:18,221 - mmdet - INFO - Epoch [42][900/1849] lr: 2.000e-05, eta: 0:36:06, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.8443, loss_bbox: 0.7203, loss_iou: 1.0906, d0.loss_cls: 1.9666, d0.loss_bbox: 0.7795, d0.loss_iou: 1.1641, d1.loss_cls: 1.9303, d1.loss_bbox: 0.7575, d1.loss_iou: 1.1349, d2.loss_cls: 1.8936, d2.loss_bbox: 0.7402, d2.loss_iou: 1.1112, d3.loss_cls: 1.8707, d3.loss_bbox: 0.7290, d3.loss_iou: 1.0999, d4.loss_cls: 1.8539, d4.loss_bbox: 0.7222, d4.loss_iou: 1.0936, loss: 22.5022, grad_norm: 11.3742 +2022-10-26 22:37:24,850 - mmdet - INFO - Epoch [42][950/1849] lr: 2.000e-05, eta: 0:35:59, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.8379, loss_bbox: 0.7206, loss_iou: 1.0863, d0.loss_cls: 1.9579, d0.loss_bbox: 0.7801, d0.loss_iou: 1.1589, d1.loss_cls: 1.9224, d1.loss_bbox: 0.7582, d1.loss_iou: 1.1314, d2.loss_cls: 1.8876, d2.loss_bbox: 0.7398, d2.loss_iou: 1.1069, d3.loss_cls: 1.8636, d3.loss_bbox: 0.7295, d3.loss_iou: 1.0958, d4.loss_cls: 1.8483, d4.loss_bbox: 0.7229, d4.loss_iou: 1.0891, loss: 22.4370, grad_norm: 11.2136 +2022-10-26 22:37:31,732 - mmdet - INFO - Epoch [42][1000/1849] lr: 2.000e-05, eta: 0:35:52, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8435, loss_bbox: 0.7214, loss_iou: 1.0913, d0.loss_cls: 1.9670, d0.loss_bbox: 0.7801, d0.loss_iou: 1.1625, d1.loss_cls: 1.9310, d1.loss_bbox: 0.7579, d1.loss_iou: 1.1357, d2.loss_cls: 1.8958, d2.loss_bbox: 0.7405, d2.loss_iou: 1.1118, d3.loss_cls: 1.8700, d3.loss_bbox: 0.7299, d3.loss_iou: 1.1005, d4.loss_cls: 1.8539, d4.loss_bbox: 0.7238, d4.loss_iou: 1.0940, loss: 22.5105, grad_norm: 12.3997 +2022-10-26 22:37:38,622 - mmdet - INFO - Epoch [42][1050/1849] lr: 2.000e-05, eta: 0:35:45, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8321, loss_bbox: 0.7217, loss_iou: 1.0873, d0.loss_cls: 1.9532, d0.loss_bbox: 0.7807, d0.loss_iou: 1.1611, d1.loss_cls: 1.9200, d1.loss_bbox: 0.7589, d1.loss_iou: 1.1325, d2.loss_cls: 1.8825, d2.loss_bbox: 0.7409, d2.loss_iou: 1.1090, d3.loss_cls: 1.8602, d3.loss_bbox: 0.7301, d3.loss_iou: 1.0973, d4.loss_cls: 1.8435, d4.loss_bbox: 0.7241, d4.loss_iou: 1.0904, loss: 22.4254, grad_norm: 11.8256 +2022-10-26 22:37:45,308 - mmdet - INFO - Epoch [42][1100/1849] lr: 2.000e-05, eta: 0:35:38, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.8432, loss_bbox: 0.7206, loss_iou: 1.0872, d0.loss_cls: 1.9634, d0.loss_bbox: 0.7781, d0.loss_iou: 1.1576, d1.loss_cls: 1.9271, d1.loss_bbox: 0.7567, d1.loss_iou: 1.1306, d2.loss_cls: 1.8910, d2.loss_bbox: 0.7390, d2.loss_iou: 1.1074, d3.loss_cls: 1.8692, d3.loss_bbox: 0.7285, d3.loss_iou: 1.0969, d4.loss_cls: 1.8536, d4.loss_bbox: 0.7228, d4.loss_iou: 1.0903, loss: 22.4634, grad_norm: 11.8372 +2022-10-26 22:37:51,916 - mmdet - INFO - Epoch [42][1150/1849] lr: 2.000e-05, eta: 0:35:31, time: 0.132, data_time: 0.005, memory: 4401, loss_cls: 1.8217, loss_bbox: 0.7189, loss_iou: 1.0865, d0.loss_cls: 1.9445, d0.loss_bbox: 0.7767, d0.loss_iou: 1.1593, d1.loss_cls: 1.9053, d1.loss_bbox: 0.7562, d1.loss_iou: 1.1309, d2.loss_cls: 1.8684, d2.loss_bbox: 0.7388, d2.loss_iou: 1.1088, d3.loss_cls: 1.8490, d3.loss_bbox: 0.7273, d3.loss_iou: 1.0966, d4.loss_cls: 1.8329, d4.loss_bbox: 0.7210, d4.loss_iou: 1.0895, loss: 22.3322, grad_norm: 12.5113 +2022-10-26 22:37:58,676 - mmdet - INFO - Epoch [42][1200/1849] lr: 2.000e-05, eta: 0:35:24, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8354, loss_bbox: 0.7234, loss_iou: 1.0887, d0.loss_cls: 1.9591, d0.loss_bbox: 0.7814, d0.loss_iou: 1.1614, d1.loss_cls: 1.9258, d1.loss_bbox: 0.7600, d1.loss_iou: 1.1340, d2.loss_cls: 1.8878, d2.loss_bbox: 0.7424, d2.loss_iou: 1.1101, d3.loss_cls: 1.8637, d3.loss_bbox: 0.7316, d3.loss_iou: 1.0987, d4.loss_cls: 1.8460, d4.loss_bbox: 0.7256, d4.loss_iou: 1.0922, loss: 22.4677, grad_norm: 12.0497 +2022-10-26 22:38:05,207 - mmdet - INFO - Epoch [42][1250/1849] lr: 2.000e-05, eta: 0:35:17, time: 0.131, data_time: 0.005, memory: 4401, loss_cls: 1.8424, loss_bbox: 0.7176, loss_iou: 1.0876, d0.loss_cls: 1.9609, d0.loss_bbox: 0.7770, d0.loss_iou: 1.1609, d1.loss_cls: 1.9281, d1.loss_bbox: 0.7539, d1.loss_iou: 1.1324, d2.loss_cls: 1.8919, d2.loss_bbox: 0.7368, d2.loss_iou: 1.1089, d3.loss_cls: 1.8698, d3.loss_bbox: 0.7257, d3.loss_iou: 1.0973, d4.loss_cls: 1.8535, d4.loss_bbox: 0.7198, d4.loss_iou: 1.0906, loss: 22.4552, grad_norm: 11.9264 +2022-10-26 22:38:11,956 - mmdet - INFO - Epoch [42][1300/1849] lr: 2.000e-05, eta: 0:35:10, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8371, loss_bbox: 0.7178, loss_iou: 1.0851, d0.loss_cls: 1.9598, d0.loss_bbox: 0.7778, d0.loss_iou: 1.1592, d1.loss_cls: 1.9222, d1.loss_bbox: 0.7552, d1.loss_iou: 1.1305, d2.loss_cls: 1.8848, d2.loss_bbox: 0.7377, d2.loss_iou: 1.1067, d3.loss_cls: 1.8623, d3.loss_bbox: 0.7271, d3.loss_iou: 1.0948, d4.loss_cls: 1.8472, d4.loss_bbox: 0.7203, d4.loss_iou: 1.0883, loss: 22.4135, grad_norm: 11.5322 +2022-10-26 22:38:18,897 - mmdet - INFO - Epoch [42][1350/1849] lr: 2.000e-05, eta: 0:35:03, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8411, loss_bbox: 0.7203, loss_iou: 1.0871, d0.loss_cls: 1.9598, d0.loss_bbox: 0.7792, d0.loss_iou: 1.1603, d1.loss_cls: 1.9262, d1.loss_bbox: 0.7572, d1.loss_iou: 1.1328, d2.loss_cls: 1.8884, d2.loss_bbox: 0.7403, d2.loss_iou: 1.1095, d3.loss_cls: 1.8658, d3.loss_bbox: 0.7294, d3.loss_iou: 1.0976, d4.loss_cls: 1.8499, d4.loss_bbox: 0.7230, d4.loss_iou: 1.0900, loss: 22.4581, grad_norm: 11.3096 +2022-10-26 22:38:25,779 - mmdet - INFO - Epoch [42][1400/1849] lr: 2.000e-05, eta: 0:34:56, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8432, loss_bbox: 0.7216, loss_iou: 1.0907, d0.loss_cls: 1.9650, d0.loss_bbox: 0.7788, d0.loss_iou: 1.1630, d1.loss_cls: 1.9273, d1.loss_bbox: 0.7583, d1.loss_iou: 1.1360, d2.loss_cls: 1.8930, d2.loss_bbox: 0.7418, d2.loss_iou: 1.1115, d3.loss_cls: 1.8692, d3.loss_bbox: 0.7304, d3.loss_iou: 1.1008, d4.loss_cls: 1.8535, d4.loss_bbox: 0.7241, d4.loss_iou: 1.0936, loss: 22.5017, grad_norm: 11.7518 +2022-10-26 22:38:32,725 - mmdet - INFO - Epoch [42][1450/1849] lr: 2.000e-05, eta: 0:34:50, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8321, loss_bbox: 0.7209, loss_iou: 1.0891, d0.loss_cls: 1.9508, d0.loss_bbox: 0.7790, d0.loss_iou: 1.1632, d1.loss_cls: 1.9154, d1.loss_bbox: 0.7580, d1.loss_iou: 1.1357, d2.loss_cls: 1.8824, d2.loss_bbox: 0.7402, d2.loss_iou: 1.1114, d3.loss_cls: 1.8585, d3.loss_bbox: 0.7292, d3.loss_iou: 1.1000, d4.loss_cls: 1.8433, d4.loss_bbox: 0.7226, d4.loss_iou: 1.0926, loss: 22.4241, grad_norm: 12.5029 +2022-10-26 22:38:39,728 - mmdet - INFO - Epoch [42][1500/1849] lr: 2.000e-05, eta: 0:34:43, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8343, loss_bbox: 0.7233, loss_iou: 1.0965, d0.loss_cls: 1.9571, d0.loss_bbox: 0.7807, d0.loss_iou: 1.1674, d1.loss_cls: 1.9185, d1.loss_bbox: 0.7592, d1.loss_iou: 1.1410, d2.loss_cls: 1.8829, d2.loss_bbox: 0.7426, d2.loss_iou: 1.1170, d3.loss_cls: 1.8616, d3.loss_bbox: 0.7322, d3.loss_iou: 1.1064, d4.loss_cls: 1.8436, d4.loss_bbox: 0.7255, d4.loss_iou: 1.1000, loss: 22.4899, grad_norm: 10.8873 +2022-10-26 22:38:46,638 - mmdet - INFO - Epoch [42][1550/1849] lr: 2.000e-05, eta: 0:34:36, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8467, loss_bbox: 0.7179, loss_iou: 1.0847, d0.loss_cls: 1.9686, d0.loss_bbox: 0.7759, d0.loss_iou: 1.1569, d1.loss_cls: 1.9333, d1.loss_bbox: 0.7551, d1.loss_iou: 1.1299, d2.loss_cls: 1.8987, d2.loss_bbox: 0.7373, d2.loss_iou: 1.1058, d3.loss_cls: 1.8748, d3.loss_bbox: 0.7264, d3.loss_iou: 1.0944, d4.loss_cls: 1.8558, d4.loss_bbox: 0.7201, d4.loss_iou: 1.0881, loss: 22.4705, grad_norm: 11.7199 +2022-10-26 22:38:53,362 - mmdet - INFO - Epoch [42][1600/1849] lr: 2.000e-05, eta: 0:34:29, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8504, loss_bbox: 0.7272, loss_iou: 1.0914, d0.loss_cls: 1.9786, d0.loss_bbox: 0.7871, d0.loss_iou: 1.1649, d1.loss_cls: 1.9404, d1.loss_bbox: 0.7646, d1.loss_iou: 1.1373, d2.loss_cls: 1.9037, d2.loss_bbox: 0.7468, d2.loss_iou: 1.1134, d3.loss_cls: 1.8792, d3.loss_bbox: 0.7355, d3.loss_iou: 1.1014, d4.loss_cls: 1.8638, d4.loss_bbox: 0.7294, d4.loss_iou: 1.0943, loss: 22.6096, grad_norm: 12.2071 +2022-10-26 22:38:59,901 - mmdet - INFO - Epoch [42][1650/1849] lr: 2.000e-05, eta: 0:34:22, time: 0.131, data_time: 0.005, memory: 4401, loss_cls: 1.8392, loss_bbox: 0.7229, loss_iou: 1.0911, d0.loss_cls: 1.9599, d0.loss_bbox: 0.7817, d0.loss_iou: 1.1632, d1.loss_cls: 1.9242, d1.loss_bbox: 0.7604, d1.loss_iou: 1.1356, d2.loss_cls: 1.8882, d2.loss_bbox: 0.7424, d2.loss_iou: 1.1114, d3.loss_cls: 1.8648, d3.loss_bbox: 0.7314, d3.loss_iou: 1.0999, d4.loss_cls: 1.8483, d4.loss_bbox: 0.7251, d4.loss_iou: 1.0941, loss: 22.4837, grad_norm: 11.0365 +2022-10-26 22:39:06,847 - mmdet - INFO - Epoch [42][1700/1849] lr: 2.000e-05, eta: 0:34:15, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8308, loss_bbox: 0.7207, loss_iou: 1.0907, d0.loss_cls: 1.9582, d0.loss_bbox: 0.7798, d0.loss_iou: 1.1642, d1.loss_cls: 1.9174, d1.loss_bbox: 0.7577, d1.loss_iou: 1.1357, d2.loss_cls: 1.8829, d2.loss_bbox: 0.7407, d2.loss_iou: 1.1115, d3.loss_cls: 1.8596, d3.loss_bbox: 0.7293, d3.loss_iou: 1.1003, d4.loss_cls: 1.8423, d4.loss_bbox: 0.7233, d4.loss_iou: 1.0936, loss: 22.4387, grad_norm: 12.4384 +2022-10-26 22:39:13,670 - mmdet - INFO - Epoch [42][1750/1849] lr: 2.000e-05, eta: 0:34:08, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8383, loss_bbox: 0.7234, loss_iou: 1.0906, d0.loss_cls: 1.9645, d0.loss_bbox: 0.7822, d0.loss_iou: 1.1630, d1.loss_cls: 1.9282, d1.loss_bbox: 0.7603, d1.loss_iou: 1.1351, d2.loss_cls: 1.8897, d2.loss_bbox: 0.7428, d2.loss_iou: 1.1111, d3.loss_cls: 1.8663, d3.loss_bbox: 0.7314, d3.loss_iou: 1.0997, d4.loss_cls: 1.8489, d4.loss_bbox: 0.7257, d4.loss_iou: 1.0935, loss: 22.4947, grad_norm: 11.5973 +2022-10-26 22:39:20,425 - mmdet - INFO - Epoch [42][1800/1849] lr: 2.000e-05, eta: 0:34:01, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8382, loss_bbox: 0.7199, loss_iou: 1.0844, d0.loss_cls: 1.9593, d0.loss_bbox: 0.7795, d0.loss_iou: 1.1577, d1.loss_cls: 1.9256, d1.loss_bbox: 0.7571, d1.loss_iou: 1.1287, d2.loss_cls: 1.8887, d2.loss_bbox: 0.7393, d2.loss_iou: 1.1049, d3.loss_cls: 1.8656, d3.loss_bbox: 0.7287, d3.loss_iou: 1.0944, d4.loss_cls: 1.8488, d4.loss_bbox: 0.7224, d4.loss_iou: 1.0879, loss: 22.4311, grad_norm: 11.6324 +2022-10-26 22:39:27,154 - mmdet - INFO - Saving checkpoint at 42 epochs +2022-10-26 22:39:37,933 - mmdet - INFO - Epoch [43][50/1849] lr: 2.000e-05, eta: 0:33:47, time: 0.203, data_time: 0.063, memory: 4401, loss_cls: 1.8387, loss_bbox: 0.7172, loss_iou: 1.0871, d0.loss_cls: 1.9605, d0.loss_bbox: 0.7774, d0.loss_iou: 1.1600, d1.loss_cls: 1.9236, d1.loss_bbox: 0.7548, d1.loss_iou: 1.1319, d2.loss_cls: 1.8888, d2.loss_bbox: 0.7375, d2.loss_iou: 1.1078, d3.loss_cls: 1.8648, d3.loss_bbox: 0.7265, d3.loss_iou: 1.0973, d4.loss_cls: 1.8477, d4.loss_bbox: 0.7200, d4.loss_iou: 1.0901, loss: 22.4318, grad_norm: 10.9096 +2022-10-26 22:39:44,982 - mmdet - INFO - Epoch [43][100/1849] lr: 2.000e-05, eta: 0:33:40, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8396, loss_bbox: 0.7213, loss_iou: 1.0859, d0.loss_cls: 1.9620, d0.loss_bbox: 0.7804, d0.loss_iou: 1.1582, d1.loss_cls: 1.9269, d1.loss_bbox: 0.7580, d1.loss_iou: 1.1304, d2.loss_cls: 1.8877, d2.loss_bbox: 0.7408, d2.loss_iou: 1.1072, d3.loss_cls: 1.8658, d3.loss_bbox: 0.7299, d3.loss_iou: 1.0958, d4.loss_cls: 1.8485, d4.loss_bbox: 0.7236, d4.loss_iou: 1.0890, loss: 22.4511, grad_norm: 11.7429 +2022-10-26 22:39:52,208 - mmdet - INFO - Epoch [43][150/1849] lr: 2.000e-05, eta: 0:33:33, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.8275, loss_bbox: 0.7198, loss_iou: 1.0871, d0.loss_cls: 1.9495, d0.loss_bbox: 0.7781, d0.loss_iou: 1.1590, d1.loss_cls: 1.9137, d1.loss_bbox: 0.7561, d1.loss_iou: 1.1314, d2.loss_cls: 1.8779, d2.loss_bbox: 0.7389, d2.loss_iou: 1.1082, d3.loss_cls: 1.8539, d3.loss_bbox: 0.7285, d3.loss_iou: 1.0973, d4.loss_cls: 1.8373, d4.loss_bbox: 0.7220, d4.loss_iou: 1.0903, loss: 22.3765, grad_norm: 11.6541 +2022-10-26 22:39:59,359 - mmdet - INFO - Epoch [43][200/1849] lr: 2.000e-05, eta: 0:33:27, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.8244, loss_bbox: 0.7154, loss_iou: 1.0798, d0.loss_cls: 1.9479, d0.loss_bbox: 0.7749, d0.loss_iou: 1.1524, d1.loss_cls: 1.9099, d1.loss_bbox: 0.7531, d1.loss_iou: 1.1241, d2.loss_cls: 1.8765, d2.loss_bbox: 0.7352, d2.loss_iou: 1.1013, d3.loss_cls: 1.8518, d3.loss_bbox: 0.7243, d3.loss_iou: 1.0896, d4.loss_cls: 1.8348, d4.loss_bbox: 0.7179, d4.loss_iou: 1.0829, loss: 22.2959, grad_norm: 10.8671 +2022-10-26 22:40:06,495 - mmdet - INFO - Epoch [43][250/1849] lr: 2.000e-05, eta: 0:33:20, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.8313, loss_bbox: 0.7169, loss_iou: 1.0868, d0.loss_cls: 1.9522, d0.loss_bbox: 0.7762, d0.loss_iou: 1.1603, d1.loss_cls: 1.9172, d1.loss_bbox: 0.7538, d1.loss_iou: 1.1308, d2.loss_cls: 1.8798, d2.loss_bbox: 0.7359, d2.loss_iou: 1.1072, d3.loss_cls: 1.8573, d3.loss_bbox: 0.7251, d3.loss_iou: 1.0959, d4.loss_cls: 1.8416, d4.loss_bbox: 0.7189, d4.loss_iou: 1.0897, loss: 22.3770, grad_norm: 12.0003 +2022-10-26 22:40:13,522 - mmdet - INFO - Epoch [43][300/1849] lr: 2.000e-05, eta: 0:33:13, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8252, loss_bbox: 0.7177, loss_iou: 1.0850, d0.loss_cls: 1.9475, d0.loss_bbox: 0.7759, d0.loss_iou: 1.1569, d1.loss_cls: 1.9091, d1.loss_bbox: 0.7538, d1.loss_iou: 1.1293, d2.loss_cls: 1.8750, d2.loss_bbox: 0.7364, d2.loss_iou: 1.1066, d3.loss_cls: 1.8524, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0944, d4.loss_cls: 1.8344, d4.loss_bbox: 0.7196, d4.loss_iou: 1.0881, loss: 22.3335, grad_norm: 11.7727 +2022-10-26 22:40:20,521 - mmdet - INFO - Epoch [43][350/1849] lr: 2.000e-05, eta: 0:33:06, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8371, loss_bbox: 0.7244, loss_iou: 1.0872, d0.loss_cls: 1.9564, d0.loss_bbox: 0.7826, d0.loss_iou: 1.1584, d1.loss_cls: 1.9211, d1.loss_bbox: 0.7611, d1.loss_iou: 1.1318, d2.loss_cls: 1.8849, d2.loss_bbox: 0.7437, d2.loss_iou: 1.1087, d3.loss_cls: 1.8619, d3.loss_bbox: 0.7332, d3.loss_iou: 1.0967, d4.loss_cls: 1.8469, d4.loss_bbox: 0.7267, d4.loss_iou: 1.0906, loss: 22.4532, grad_norm: 11.7616 +2022-10-26 22:40:27,412 - mmdet - INFO - Epoch [43][400/1849] lr: 2.000e-05, eta: 0:32:59, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8419, loss_bbox: 0.7256, loss_iou: 1.0872, d0.loss_cls: 1.9672, d0.loss_bbox: 0.7833, d0.loss_iou: 1.1604, d1.loss_cls: 1.9289, d1.loss_bbox: 0.7617, d1.loss_iou: 1.1322, d2.loss_cls: 1.8933, d2.loss_bbox: 0.7440, d2.loss_iou: 1.1084, d3.loss_cls: 1.8697, d3.loss_bbox: 0.7340, d3.loss_iou: 1.0971, d4.loss_cls: 1.8510, d4.loss_bbox: 0.7281, d4.loss_iou: 1.0905, loss: 22.5045, grad_norm: 11.2133 +2022-10-26 22:40:34,162 - mmdet - INFO - Epoch [43][450/1849] lr: 2.000e-05, eta: 0:32:52, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8288, loss_bbox: 0.7218, loss_iou: 1.0901, d0.loss_cls: 1.9484, d0.loss_bbox: 0.7794, d0.loss_iou: 1.1616, d1.loss_cls: 1.9127, d1.loss_bbox: 0.7578, d1.loss_iou: 1.1350, d2.loss_cls: 1.8790, d2.loss_bbox: 0.7406, d2.loss_iou: 1.1119, d3.loss_cls: 1.8559, d3.loss_bbox: 0.7299, d3.loss_iou: 1.1000, d4.loss_cls: 1.8386, d4.loss_bbox: 0.7239, d4.loss_iou: 1.0927, loss: 22.4080, grad_norm: 12.7438 +2022-10-26 22:40:40,850 - mmdet - INFO - Epoch [43][500/1849] lr: 2.000e-05, eta: 0:32:45, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.8374, loss_bbox: 0.7204, loss_iou: 1.0867, d0.loss_cls: 1.9613, d0.loss_bbox: 0.7777, d0.loss_iou: 1.1590, d1.loss_cls: 1.9237, d1.loss_bbox: 0.7581, d1.loss_iou: 1.1328, d2.loss_cls: 1.8845, d2.loss_bbox: 0.7394, d2.loss_iou: 1.1085, d3.loss_cls: 1.8630, d3.loss_bbox: 0.7292, d3.loss_iou: 1.0970, d4.loss_cls: 1.8468, d4.loss_bbox: 0.7229, d4.loss_iou: 1.0902, loss: 22.4385, grad_norm: 11.9096 +2022-10-26 22:40:47,431 - mmdet - INFO - Epoch [43][550/1849] lr: 2.000e-05, eta: 0:32:38, time: 0.132, data_time: 0.004, memory: 4401, loss_cls: 1.8318, loss_bbox: 0.7187, loss_iou: 1.0844, d0.loss_cls: 1.9554, d0.loss_bbox: 0.7769, d0.loss_iou: 1.1565, d1.loss_cls: 1.9174, d1.loss_bbox: 0.7544, d1.loss_iou: 1.1279, d2.loss_cls: 1.8810, d2.loss_bbox: 0.7372, d2.loss_iou: 1.1050, d3.loss_cls: 1.8589, d3.loss_bbox: 0.7269, d3.loss_iou: 1.0939, d4.loss_cls: 1.8408, d4.loss_bbox: 0.7210, d4.loss_iou: 1.0874, loss: 22.3754, grad_norm: 11.4829 +2022-10-26 22:40:54,299 - mmdet - INFO - Epoch [43][600/1849] lr: 2.000e-05, eta: 0:32:32, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8417, loss_bbox: 0.7188, loss_iou: 1.0875, d0.loss_cls: 1.9643, d0.loss_bbox: 0.7775, d0.loss_iou: 1.1614, d1.loss_cls: 1.9296, d1.loss_bbox: 0.7566, d1.loss_iou: 1.1333, d2.loss_cls: 1.8927, d2.loss_bbox: 0.7388, d2.loss_iou: 1.1087, d3.loss_cls: 1.8679, d3.loss_bbox: 0.7280, d3.loss_iou: 1.0975, d4.loss_cls: 1.8509, d4.loss_bbox: 0.7215, d4.loss_iou: 1.0908, loss: 22.4676, grad_norm: 11.8017 +2022-10-26 22:41:01,309 - mmdet - INFO - Epoch [43][650/1849] lr: 2.000e-05, eta: 0:32:25, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8330, loss_bbox: 0.7173, loss_iou: 1.0863, d0.loss_cls: 1.9541, d0.loss_bbox: 0.7766, d0.loss_iou: 1.1595, d1.loss_cls: 1.9203, d1.loss_bbox: 0.7550, d1.loss_iou: 1.1319, d2.loss_cls: 1.8843, d2.loss_bbox: 0.7374, d2.loss_iou: 1.1072, d3.loss_cls: 1.8615, d3.loss_bbox: 0.7256, d3.loss_iou: 1.0958, d4.loss_cls: 1.8432, d4.loss_bbox: 0.7200, d4.loss_iou: 1.0890, loss: 22.3979, grad_norm: 11.4657 +2022-10-26 22:41:08,342 - mmdet - INFO - Epoch [43][700/1849] lr: 2.000e-05, eta: 0:32:18, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8347, loss_bbox: 0.7203, loss_iou: 1.0868, d0.loss_cls: 1.9600, d0.loss_bbox: 0.7793, d0.loss_iou: 1.1591, d1.loss_cls: 1.9199, d1.loss_bbox: 0.7584, d1.loss_iou: 1.1321, d2.loss_cls: 1.8875, d2.loss_bbox: 0.7399, d2.loss_iou: 1.1070, d3.loss_cls: 1.8611, d3.loss_bbox: 0.7293, d3.loss_iou: 1.0960, d4.loss_cls: 1.8467, d4.loss_bbox: 0.7230, d4.loss_iou: 1.0894, loss: 22.4305, grad_norm: 11.6858 +2022-10-26 22:41:15,339 - mmdet - INFO - Epoch [43][750/1849] lr: 2.000e-05, eta: 0:32:11, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8167, loss_bbox: 0.7195, loss_iou: 1.0873, d0.loss_cls: 1.9404, d0.loss_bbox: 0.7787, d0.loss_iou: 1.1594, d1.loss_cls: 1.9025, d1.loss_bbox: 0.7570, d1.loss_iou: 1.1321, d2.loss_cls: 1.8667, d2.loss_bbox: 0.7395, d2.loss_iou: 1.1082, d3.loss_cls: 1.8427, d3.loss_bbox: 0.7287, d3.loss_iou: 1.0971, d4.loss_cls: 1.8276, d4.loss_bbox: 0.7222, d4.loss_iou: 1.0900, loss: 22.3165, grad_norm: 11.1906 +2022-10-26 22:41:22,211 - mmdet - INFO - Epoch [43][800/1849] lr: 2.000e-05, eta: 0:32:04, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8465, loss_bbox: 0.7213, loss_iou: 1.0898, d0.loss_cls: 1.9693, d0.loss_bbox: 0.7793, d0.loss_iou: 1.1628, d1.loss_cls: 1.9342, d1.loss_bbox: 0.7589, d1.loss_iou: 1.1368, d2.loss_cls: 1.8997, d2.loss_bbox: 0.7412, d2.loss_iou: 1.1119, d3.loss_cls: 1.8726, d3.loss_bbox: 0.7302, d3.loss_iou: 1.1003, d4.loss_cls: 1.8580, d4.loss_bbox: 0.7238, d4.loss_iou: 1.0931, loss: 22.5296, grad_norm: 11.8337 +2022-10-26 22:41:29,272 - mmdet - INFO - Epoch [43][850/1849] lr: 2.000e-05, eta: 0:31:57, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8376, loss_bbox: 0.7206, loss_iou: 1.0889, d0.loss_cls: 1.9592, d0.loss_bbox: 0.7785, d0.loss_iou: 1.1608, d1.loss_cls: 1.9238, d1.loss_bbox: 0.7572, d1.loss_iou: 1.1341, d2.loss_cls: 1.8900, d2.loss_bbox: 0.7399, d2.loss_iou: 1.1096, d3.loss_cls: 1.8644, d3.loss_bbox: 0.7287, d3.loss_iou: 1.0982, d4.loss_cls: 1.8479, d4.loss_bbox: 0.7230, d4.loss_iou: 1.0922, loss: 22.4547, grad_norm: 11.7123 +2022-10-26 22:41:36,327 - mmdet - INFO - Epoch [43][900/1849] lr: 2.000e-05, eta: 0:31:50, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8413, loss_bbox: 0.7217, loss_iou: 1.0851, d0.loss_cls: 1.9656, d0.loss_bbox: 0.7800, d0.loss_iou: 1.1590, d1.loss_cls: 1.9298, d1.loss_bbox: 0.7585, d1.loss_iou: 1.1310, d2.loss_cls: 1.8940, d2.loss_bbox: 0.7412, d2.loss_iou: 1.1058, d3.loss_cls: 1.8683, d3.loss_bbox: 0.7302, d3.loss_iou: 1.0945, d4.loss_cls: 1.8517, d4.loss_bbox: 0.7238, d4.loss_iou: 1.0883, loss: 22.4699, grad_norm: 11.4761 +2022-10-26 22:41:43,453 - mmdet - INFO - Epoch [43][950/1849] lr: 2.000e-05, eta: 0:31:44, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8368, loss_bbox: 0.7217, loss_iou: 1.0906, d0.loss_cls: 1.9619, d0.loss_bbox: 0.7795, d0.loss_iou: 1.1630, d1.loss_cls: 1.9233, d1.loss_bbox: 0.7584, d1.loss_iou: 1.1352, d2.loss_cls: 1.8855, d2.loss_bbox: 0.7408, d2.loss_iou: 1.1116, d3.loss_cls: 1.8624, d3.loss_bbox: 0.7303, d3.loss_iou: 1.1005, d4.loss_cls: 1.8473, d4.loss_bbox: 0.7244, d4.loss_iou: 1.0934, loss: 22.4666, grad_norm: 12.1923 +2022-10-26 22:41:50,520 - mmdet - INFO - Epoch [43][1000/1849] lr: 2.000e-05, eta: 0:31:37, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8397, loss_bbox: 0.7196, loss_iou: 1.0886, d0.loss_cls: 1.9630, d0.loss_bbox: 0.7786, d0.loss_iou: 1.1619, d1.loss_cls: 1.9301, d1.loss_bbox: 0.7579, d1.loss_iou: 1.1342, d2.loss_cls: 1.8915, d2.loss_bbox: 0.7398, d2.loss_iou: 1.1105, d3.loss_cls: 1.8674, d3.loss_bbox: 0.7282, d3.loss_iou: 1.0989, d4.loss_cls: 1.8498, d4.loss_bbox: 0.7219, d4.loss_iou: 1.0916, loss: 22.4731, grad_norm: 11.6933 +2022-10-26 22:41:57,487 - mmdet - INFO - Epoch [43][1050/1849] lr: 2.000e-05, eta: 0:31:30, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8288, loss_bbox: 0.7181, loss_iou: 1.0835, d0.loss_cls: 1.9472, d0.loss_bbox: 0.7761, d0.loss_iou: 1.1572, d1.loss_cls: 1.9130, d1.loss_bbox: 0.7543, d1.loss_iou: 1.1284, d2.loss_cls: 1.8788, d2.loss_bbox: 0.7368, d2.loss_iou: 1.1048, d3.loss_cls: 1.8551, d3.loss_bbox: 0.7268, d3.loss_iou: 1.0933, d4.loss_cls: 1.8395, d4.loss_bbox: 0.7209, d4.loss_iou: 1.0862, loss: 22.3488, grad_norm: 12.0522 +2022-10-26 22:42:04,439 - mmdet - INFO - Epoch [43][1100/1849] lr: 2.000e-05, eta: 0:31:23, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8336, loss_bbox: 0.7218, loss_iou: 1.0896, d0.loss_cls: 1.9592, d0.loss_bbox: 0.7797, d0.loss_iou: 1.1621, d1.loss_cls: 1.9209, d1.loss_bbox: 0.7571, d1.loss_iou: 1.1340, d2.loss_cls: 1.8846, d2.loss_bbox: 0.7404, d2.loss_iou: 1.1106, d3.loss_cls: 1.8606, d3.loss_bbox: 0.7298, d3.loss_iou: 1.1000, d4.loss_cls: 1.8454, d4.loss_bbox: 0.7238, d4.loss_iou: 1.0925, loss: 22.4458, grad_norm: 12.1283 +2022-10-26 22:42:11,408 - mmdet - INFO - Epoch [43][1150/1849] lr: 2.000e-05, eta: 0:31:16, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8355, loss_bbox: 0.7170, loss_iou: 1.0811, d0.loss_cls: 1.9587, d0.loss_bbox: 0.7756, d0.loss_iou: 1.1538, d1.loss_cls: 1.9217, d1.loss_bbox: 0.7545, d1.loss_iou: 1.1270, d2.loss_cls: 1.8846, d2.loss_bbox: 0.7367, d2.loss_iou: 1.1026, d3.loss_cls: 1.8608, d3.loss_bbox: 0.7256, d3.loss_iou: 1.0907, d4.loss_cls: 1.8461, d4.loss_bbox: 0.7195, d4.loss_iou: 1.0840, loss: 22.3757, grad_norm: 12.2233 +2022-10-26 22:42:18,280 - mmdet - INFO - Epoch [43][1200/1849] lr: 2.000e-05, eta: 0:31:09, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8400, loss_bbox: 0.7216, loss_iou: 1.0910, d0.loss_cls: 1.9634, d0.loss_bbox: 0.7793, d0.loss_iou: 1.1643, d1.loss_cls: 1.9266, d1.loss_bbox: 0.7578, d1.loss_iou: 1.1363, d2.loss_cls: 1.8906, d2.loss_bbox: 0.7404, d2.loss_iou: 1.1127, d3.loss_cls: 1.8661, d3.loss_bbox: 0.7302, d3.loss_iou: 1.1014, d4.loss_cls: 1.8521, d4.loss_bbox: 0.7237, d4.loss_iou: 1.0944, loss: 22.4921, grad_norm: 11.5582 +2022-10-26 22:42:25,145 - mmdet - INFO - Epoch [43][1250/1849] lr: 2.000e-05, eta: 0:31:02, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8346, loss_bbox: 0.7189, loss_iou: 1.0848, d0.loss_cls: 1.9575, d0.loss_bbox: 0.7779, d0.loss_iou: 1.1590, d1.loss_cls: 1.9229, d1.loss_bbox: 0.7562, d1.loss_iou: 1.1303, d2.loss_cls: 1.8865, d2.loss_bbox: 0.7381, d2.loss_iou: 1.1056, d3.loss_cls: 1.8623, d3.loss_bbox: 0.7270, d3.loss_iou: 1.0946, d4.loss_cls: 1.8449, d4.loss_bbox: 0.7207, d4.loss_iou: 1.0882, loss: 22.4098, grad_norm: 13.3773 +2022-10-26 22:42:32,234 - mmdet - INFO - Epoch [43][1300/1849] lr: 2.000e-05, eta: 0:30:56, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8263, loss_bbox: 0.7155, loss_iou: 1.0804, d0.loss_cls: 1.9454, d0.loss_bbox: 0.7750, d0.loss_iou: 1.1537, d1.loss_cls: 1.9138, d1.loss_bbox: 0.7528, d1.loss_iou: 1.1261, d2.loss_cls: 1.8756, d2.loss_bbox: 0.7348, d2.loss_iou: 1.1019, d3.loss_cls: 1.8522, d3.loss_bbox: 0.7238, d3.loss_iou: 1.0905, d4.loss_cls: 1.8381, d4.loss_bbox: 0.7180, d4.loss_iou: 1.0832, loss: 22.3072, grad_norm: 11.3851 +2022-10-26 22:42:39,255 - mmdet - INFO - Epoch [43][1350/1849] lr: 2.000e-05, eta: 0:30:49, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8276, loss_bbox: 0.7167, loss_iou: 1.0838, d0.loss_cls: 1.9486, d0.loss_bbox: 0.7763, d0.loss_iou: 1.1570, d1.loss_cls: 1.9129, d1.loss_bbox: 0.7541, d1.loss_iou: 1.1291, d2.loss_cls: 1.8760, d2.loss_bbox: 0.7360, d2.loss_iou: 1.1053, d3.loss_cls: 1.8538, d3.loss_bbox: 0.7250, d3.loss_iou: 1.0934, d4.loss_cls: 1.8382, d4.loss_bbox: 0.7186, d4.loss_iou: 1.0867, loss: 22.3393, grad_norm: 12.8360 +2022-10-26 22:42:46,053 - mmdet - INFO - Epoch [43][1400/1849] lr: 2.000e-05, eta: 0:30:42, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8347, loss_bbox: 0.7176, loss_iou: 1.0917, d0.loss_cls: 1.9629, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1650, d1.loss_cls: 1.9253, d1.loss_bbox: 0.7531, d1.loss_iou: 1.1368, d2.loss_cls: 1.8864, d2.loss_bbox: 0.7364, d2.loss_iou: 1.1120, d3.loss_cls: 1.8651, d3.loss_bbox: 0.7257, d3.loss_iou: 1.1007, d4.loss_cls: 1.8466, d4.loss_bbox: 0.7199, d4.loss_iou: 1.0948, loss: 22.4506, grad_norm: 12.7553 +2022-10-26 22:42:52,899 - mmdet - INFO - Epoch [43][1450/1849] lr: 2.000e-05, eta: 0:30:35, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8334, loss_bbox: 0.7188, loss_iou: 1.0852, d0.loss_cls: 1.9604, d0.loss_bbox: 0.7771, d0.loss_iou: 1.1589, d1.loss_cls: 1.9222, d1.loss_bbox: 0.7553, d1.loss_iou: 1.1313, d2.loss_cls: 1.8837, d2.loss_bbox: 0.7380, d2.loss_iou: 1.1066, d3.loss_cls: 1.8604, d3.loss_bbox: 0.7271, d3.loss_iou: 1.0951, d4.loss_cls: 1.8422, d4.loss_bbox: 0.7212, d4.loss_iou: 1.0884, loss: 22.4052, grad_norm: 12.1326 +2022-10-26 22:42:59,721 - mmdet - INFO - Epoch [43][1500/1849] lr: 2.000e-05, eta: 0:30:28, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8251, loss_bbox: 0.7189, loss_iou: 1.0858, d0.loss_cls: 1.9448, d0.loss_bbox: 0.7789, d0.loss_iou: 1.1592, d1.loss_cls: 1.9116, d1.loss_bbox: 0.7561, d1.loss_iou: 1.1301, d2.loss_cls: 1.8754, d2.loss_bbox: 0.7387, d2.loss_iou: 1.1072, d3.loss_cls: 1.8520, d3.loss_bbox: 0.7276, d3.loss_iou: 1.0963, d4.loss_cls: 1.8342, d4.loss_bbox: 0.7216, d4.loss_iou: 1.0894, loss: 22.3531, grad_norm: 12.8829 +2022-10-26 22:43:06,580 - mmdet - INFO - Epoch [43][1550/1849] lr: 2.000e-05, eta: 0:30:21, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8249, loss_bbox: 0.7176, loss_iou: 1.0851, d0.loss_cls: 1.9461, d0.loss_bbox: 0.7761, d0.loss_iou: 1.1583, d1.loss_cls: 1.9088, d1.loss_bbox: 0.7547, d1.loss_iou: 1.1304, d2.loss_cls: 1.8735, d2.loss_bbox: 0.7369, d2.loss_iou: 1.1052, d3.loss_cls: 1.8513, d3.loss_bbox: 0.7260, d3.loss_iou: 1.0947, d4.loss_cls: 1.8344, d4.loss_bbox: 0.7197, d4.loss_iou: 1.0881, loss: 22.3318, grad_norm: 11.7551 +2022-10-26 22:43:13,574 - mmdet - INFO - Epoch [43][1600/1849] lr: 2.000e-05, eta: 0:30:14, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8350, loss_bbox: 0.7238, loss_iou: 1.0885, d0.loss_cls: 1.9580, d0.loss_bbox: 0.7814, d0.loss_iou: 1.1607, d1.loss_cls: 1.9217, d1.loss_bbox: 0.7596, d1.loss_iou: 1.1330, d2.loss_cls: 1.8848, d2.loss_bbox: 0.7418, d2.loss_iou: 1.1094, d3.loss_cls: 1.8623, d3.loss_bbox: 0.7318, d3.loss_iou: 1.0980, d4.loss_cls: 1.8469, d4.loss_bbox: 0.7259, d4.loss_iou: 1.0918, loss: 22.4543, grad_norm: 12.4616 +2022-10-26 22:43:20,502 - mmdet - INFO - Epoch [43][1650/1849] lr: 2.000e-05, eta: 0:30:07, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8407, loss_bbox: 0.7193, loss_iou: 1.0842, d0.loss_cls: 1.9661, d0.loss_bbox: 0.7794, d0.loss_iou: 1.1572, d1.loss_cls: 1.9314, d1.loss_bbox: 0.7569, d1.loss_iou: 1.1301, d2.loss_cls: 1.8931, d2.loss_bbox: 0.7394, d2.loss_iou: 1.1055, d3.loss_cls: 1.8705, d3.loss_bbox: 0.7282, d3.loss_iou: 1.0941, d4.loss_cls: 1.8517, d4.loss_bbox: 0.7216, d4.loss_iou: 1.0870, loss: 22.4563, grad_norm: 11.8657 +2022-10-26 22:43:27,471 - mmdet - INFO - Epoch [43][1700/1849] lr: 2.000e-05, eta: 0:30:01, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8203, loss_bbox: 0.7206, loss_iou: 1.0894, d0.loss_cls: 1.9444, d0.loss_bbox: 0.7783, d0.loss_iou: 1.1611, d1.loss_cls: 1.9062, d1.loss_bbox: 0.7575, d1.loss_iou: 1.1348, d2.loss_cls: 1.8730, d2.loss_bbox: 0.7391, d2.loss_iou: 1.1098, d3.loss_cls: 1.8479, d3.loss_bbox: 0.7290, d3.loss_iou: 1.0991, d4.loss_cls: 1.8309, d4.loss_bbox: 0.7228, d4.loss_iou: 1.0925, loss: 22.3566, grad_norm: 12.3239 +2022-10-26 22:43:34,371 - mmdet - INFO - Epoch [43][1750/1849] lr: 2.000e-05, eta: 0:29:54, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8300, loss_bbox: 0.7174, loss_iou: 1.0837, d0.loss_cls: 1.9550, d0.loss_bbox: 0.7779, d0.loss_iou: 1.1600, d1.loss_cls: 1.9166, d1.loss_bbox: 0.7554, d1.loss_iou: 1.1292, d2.loss_cls: 1.8824, d2.loss_bbox: 0.7372, d2.loss_iou: 1.1050, d3.loss_cls: 1.8573, d3.loss_bbox: 0.7267, d3.loss_iou: 1.0942, d4.loss_cls: 1.8397, d4.loss_bbox: 0.7200, d4.loss_iou: 1.0872, loss: 22.3748, grad_norm: 12.4691 +2022-10-26 22:43:41,293 - mmdet - INFO - Epoch [43][1800/1849] lr: 2.000e-05, eta: 0:29:47, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8296, loss_bbox: 0.7184, loss_iou: 1.0875, d0.loss_cls: 1.9488, d0.loss_bbox: 0.7756, d0.loss_iou: 1.1612, d1.loss_cls: 1.9148, d1.loss_bbox: 0.7551, d1.loss_iou: 1.1323, d2.loss_cls: 1.8780, d2.loss_bbox: 0.7372, d2.loss_iou: 1.1082, d3.loss_cls: 1.8562, d3.loss_bbox: 0.7266, d3.loss_iou: 1.0971, d4.loss_cls: 1.8384, d4.loss_bbox: 0.7204, d4.loss_iou: 1.0909, loss: 22.3762, grad_norm: 12.3301 +2022-10-26 22:43:48,268 - mmdet - INFO - Saving checkpoint at 43 epochs +2022-10-26 22:43:59,095 - mmdet - INFO - Epoch [44][50/1849] lr: 2.000e-05, eta: 0:29:33, time: 0.204, data_time: 0.063, memory: 4401, loss_cls: 1.8289, loss_bbox: 0.7154, loss_iou: 1.0800, d0.loss_cls: 1.9553, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1531, d1.loss_cls: 1.9174, d1.loss_bbox: 0.7538, d1.loss_iou: 1.1258, d2.loss_cls: 1.8849, d2.loss_bbox: 0.7349, d2.loss_iou: 1.1010, d3.loss_cls: 1.8570, d3.loss_bbox: 0.7245, d3.loss_iou: 1.0900, d4.loss_cls: 1.8395, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0831, loss: 22.3379, grad_norm: 11.7263 +2022-10-26 22:44:06,248 - mmdet - INFO - Epoch [44][100/1849] lr: 2.000e-05, eta: 0:29:26, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8281, loss_bbox: 0.7165, loss_iou: 1.0857, d0.loss_cls: 1.9488, d0.loss_bbox: 0.7755, d0.loss_iou: 1.1600, d1.loss_cls: 1.9123, d1.loss_bbox: 0.7543, d1.loss_iou: 1.1315, d2.loss_cls: 1.8784, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1076, d3.loss_cls: 1.8511, d3.loss_bbox: 0.7251, d3.loss_iou: 1.0962, d4.loss_cls: 1.8378, d4.loss_bbox: 0.7187, d4.loss_iou: 1.0888, loss: 22.3523, grad_norm: 12.1941 +2022-10-26 22:44:13,557 - mmdet - INFO - Epoch [44][150/1849] lr: 2.000e-05, eta: 0:29:19, time: 0.146, data_time: 0.004, memory: 4401, loss_cls: 1.8312, loss_bbox: 0.7165, loss_iou: 1.0808, d0.loss_cls: 1.9527, d0.loss_bbox: 0.7756, d0.loss_iou: 1.1541, d1.loss_cls: 1.9166, d1.loss_bbox: 0.7539, d1.loss_iou: 1.1259, d2.loss_cls: 1.8829, d2.loss_bbox: 0.7359, d2.loss_iou: 1.1015, d3.loss_cls: 1.8577, d3.loss_bbox: 0.7248, d3.loss_iou: 1.0908, d4.loss_cls: 1.8437, d4.loss_bbox: 0.7186, d4.loss_iou: 1.0840, loss: 22.3472, grad_norm: 11.5038 +2022-10-26 22:44:20,559 - mmdet - INFO - Epoch [44][200/1849] lr: 2.000e-05, eta: 0:29:12, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8355, loss_bbox: 0.7235, loss_iou: 1.0866, d0.loss_cls: 1.9547, d0.loss_bbox: 0.7814, d0.loss_iou: 1.1594, d1.loss_cls: 1.9192, d1.loss_bbox: 0.7600, d1.loss_iou: 1.1309, d2.loss_cls: 1.8844, d2.loss_bbox: 0.7417, d2.loss_iou: 1.1075, d3.loss_cls: 1.8598, d3.loss_bbox: 0.7315, d3.loss_iou: 1.0960, d4.loss_cls: 1.8459, d4.loss_bbox: 0.7260, d4.loss_iou: 1.0891, loss: 22.4329, grad_norm: 12.3514 +2022-10-26 22:44:27,457 - mmdet - INFO - Epoch [44][250/1849] lr: 2.000e-05, eta: 0:29:05, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8408, loss_bbox: 0.7203, loss_iou: 1.0894, d0.loss_cls: 1.9621, d0.loss_bbox: 0.7788, d0.loss_iou: 1.1629, d1.loss_cls: 1.9266, d1.loss_bbox: 0.7569, d1.loss_iou: 1.1350, d2.loss_cls: 1.8912, d2.loss_bbox: 0.7396, d2.loss_iou: 1.1107, d3.loss_cls: 1.8671, d3.loss_bbox: 0.7285, d3.loss_iou: 1.1000, d4.loss_cls: 1.8499, d4.loss_bbox: 0.7223, d4.loss_iou: 1.0925, loss: 22.4748, grad_norm: 12.7650 +2022-10-26 22:44:34,535 - mmdet - INFO - Epoch [44][300/1849] lr: 2.000e-05, eta: 0:28:58, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8496, loss_bbox: 0.7197, loss_iou: 1.0863, d0.loss_cls: 1.9698, d0.loss_bbox: 0.7778, d0.loss_iou: 1.1580, d1.loss_cls: 1.9361, d1.loss_bbox: 0.7564, d1.loss_iou: 1.1310, d2.loss_cls: 1.8989, d2.loss_bbox: 0.7385, d2.loss_iou: 1.1068, d3.loss_cls: 1.8755, d3.loss_bbox: 0.7281, d3.loss_iou: 1.0958, d4.loss_cls: 1.8605, d4.loss_bbox: 0.7221, d4.loss_iou: 1.0895, loss: 22.5003, grad_norm: 13.0891 +2022-10-26 22:44:41,576 - mmdet - INFO - Epoch [44][350/1849] lr: 2.000e-05, eta: 0:28:52, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8356, loss_bbox: 0.7217, loss_iou: 1.0856, d0.loss_cls: 1.9609, d0.loss_bbox: 0.7804, d0.loss_iou: 1.1592, d1.loss_cls: 1.9206, d1.loss_bbox: 0.7591, d1.loss_iou: 1.1311, d2.loss_cls: 1.8864, d2.loss_bbox: 0.7411, d2.loss_iou: 1.1070, d3.loss_cls: 1.8623, d3.loss_bbox: 0.7300, d3.loss_iou: 1.0957, d4.loss_cls: 1.8454, d4.loss_bbox: 0.7239, d4.loss_iou: 1.0888, loss: 22.4348, grad_norm: 15.9151 +2022-10-26 22:44:48,575 - mmdet - INFO - Epoch [44][400/1849] lr: 2.000e-05, eta: 0:28:45, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8171, loss_bbox: 0.7189, loss_iou: 1.0868, d0.loss_cls: 1.9405, d0.loss_bbox: 0.7767, d0.loss_iou: 1.1602, d1.loss_cls: 1.9017, d1.loss_bbox: 0.7552, d1.loss_iou: 1.1334, d2.loss_cls: 1.8674, d2.loss_bbox: 0.7380, d2.loss_iou: 1.1082, d3.loss_cls: 1.8441, d3.loss_bbox: 0.7273, d3.loss_iou: 1.0967, d4.loss_cls: 1.8289, d4.loss_bbox: 0.7205, d4.loss_iou: 1.0898, loss: 22.3114, grad_norm: 12.6163 +2022-10-26 22:44:55,382 - mmdet - INFO - Epoch [44][450/1849] lr: 2.000e-05, eta: 0:28:38, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8347, loss_bbox: 0.7151, loss_iou: 1.0823, d0.loss_cls: 1.9573, d0.loss_bbox: 0.7731, d0.loss_iou: 1.1556, d1.loss_cls: 1.9236, d1.loss_bbox: 0.7531, d1.loss_iou: 1.1285, d2.loss_cls: 1.8857, d2.loss_bbox: 0.7350, d2.loss_iou: 1.1042, d3.loss_cls: 1.8612, d3.loss_bbox: 0.7241, d3.loss_iou: 1.0923, d4.loss_cls: 1.8463, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0855, loss: 22.3751, grad_norm: 11.7831 +2022-10-26 22:45:02,142 - mmdet - INFO - Epoch [44][500/1849] lr: 2.000e-05, eta: 0:28:31, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8198, loss_bbox: 0.7178, loss_iou: 1.0838, d0.loss_cls: 1.9429, d0.loss_bbox: 0.7776, d0.loss_iou: 1.1579, d1.loss_cls: 1.9054, d1.loss_bbox: 0.7545, d1.loss_iou: 1.1295, d2.loss_cls: 1.8728, d2.loss_bbox: 0.7376, d2.loss_iou: 1.1054, d3.loss_cls: 1.8488, d3.loss_bbox: 0.7257, d3.loss_iou: 1.0936, d4.loss_cls: 1.8318, d4.loss_bbox: 0.7199, d4.loss_iou: 1.0869, loss: 22.3117, grad_norm: 12.8002 +2022-10-26 22:45:08,876 - mmdet - INFO - Epoch [44][550/1849] lr: 2.000e-05, eta: 0:28:24, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8337, loss_bbox: 0.7220, loss_iou: 1.0863, d0.loss_cls: 1.9586, d0.loss_bbox: 0.7802, d0.loss_iou: 1.1594, d1.loss_cls: 1.9208, d1.loss_bbox: 0.7590, d1.loss_iou: 1.1321, d2.loss_cls: 1.8850, d2.loss_bbox: 0.7413, d2.loss_iou: 1.1076, d3.loss_cls: 1.8603, d3.loss_bbox: 0.7306, d3.loss_iou: 1.0965, d4.loss_cls: 1.8421, d4.loss_bbox: 0.7243, d4.loss_iou: 1.0896, loss: 22.4295, grad_norm: 11.4111 +2022-10-26 22:45:15,767 - mmdet - INFO - Epoch [44][600/1849] lr: 2.000e-05, eta: 0:28:17, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8343, loss_bbox: 0.7194, loss_iou: 1.0868, d0.loss_cls: 1.9566, d0.loss_bbox: 0.7785, d0.loss_iou: 1.1608, d1.loss_cls: 1.9193, d1.loss_bbox: 0.7574, d1.loss_iou: 1.1320, d2.loss_cls: 1.8848, d2.loss_bbox: 0.7396, d2.loss_iou: 1.1079, d3.loss_cls: 1.8619, d3.loss_bbox: 0.7284, d3.loss_iou: 1.0971, d4.loss_cls: 1.8442, d4.loss_bbox: 0.7217, d4.loss_iou: 1.0899, loss: 22.4204, grad_norm: 11.8037 +2022-10-26 22:45:22,958 - mmdet - INFO - Epoch [44][650/1849] lr: 2.000e-05, eta: 0:28:10, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.8261, loss_bbox: 0.7154, loss_iou: 1.0829, d0.loss_cls: 1.9504, d0.loss_bbox: 0.7740, d0.loss_iou: 1.1583, d1.loss_cls: 1.9123, d1.loss_bbox: 0.7533, d1.loss_iou: 1.1294, d2.loss_cls: 1.8743, d2.loss_bbox: 0.7343, d2.loss_iou: 1.1052, d3.loss_cls: 1.8530, d3.loss_bbox: 0.7236, d3.loss_iou: 1.0931, d4.loss_cls: 1.8371, d4.loss_bbox: 0.7175, d4.loss_iou: 1.0860, loss: 22.3260, grad_norm: 11.5261 +2022-10-26 22:45:29,833 - mmdet - INFO - Epoch [44][700/1849] lr: 2.000e-05, eta: 0:28:03, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8342, loss_bbox: 0.7183, loss_iou: 1.0848, d0.loss_cls: 1.9561, d0.loss_bbox: 0.7775, d0.loss_iou: 1.1596, d1.loss_cls: 1.9190, d1.loss_bbox: 0.7557, d1.loss_iou: 1.1307, d2.loss_cls: 1.8852, d2.loss_bbox: 0.7378, d2.loss_iou: 1.1067, d3.loss_cls: 1.8599, d3.loss_bbox: 0.7268, d3.loss_iou: 1.0951, d4.loss_cls: 1.8442, d4.loss_bbox: 0.7204, d4.loss_iou: 1.0879, loss: 22.3999, grad_norm: 11.8748 +2022-10-26 22:45:36,671 - mmdet - INFO - Epoch [44][750/1849] lr: 2.000e-05, eta: 0:27:57, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8283, loss_bbox: 0.7164, loss_iou: 1.0846, d0.loss_cls: 1.9488, d0.loss_bbox: 0.7741, d0.loss_iou: 1.1569, d1.loss_cls: 1.9148, d1.loss_bbox: 0.7538, d1.loss_iou: 1.1286, d2.loss_cls: 1.8812, d2.loss_bbox: 0.7355, d2.loss_iou: 1.1051, d3.loss_cls: 1.8551, d3.loss_bbox: 0.7250, d3.loss_iou: 1.0942, d4.loss_cls: 1.8386, d4.loss_bbox: 0.7190, d4.loss_iou: 1.0875, loss: 22.3474, grad_norm: 12.2566 +2022-10-26 22:45:43,481 - mmdet - INFO - Epoch [44][800/1849] lr: 2.000e-05, eta: 0:27:50, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8161, loss_bbox: 0.7174, loss_iou: 1.0861, d0.loss_cls: 1.9394, d0.loss_bbox: 0.7771, d0.loss_iou: 1.1593, d1.loss_cls: 1.9019, d1.loss_bbox: 0.7553, d1.loss_iou: 1.1327, d2.loss_cls: 1.8652, d2.loss_bbox: 0.7373, d2.loss_iou: 1.1082, d3.loss_cls: 1.8440, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0961, d4.loss_cls: 1.8253, d4.loss_bbox: 0.7202, d4.loss_iou: 1.0893, loss: 22.2973, grad_norm: 11.8611 +2022-10-26 22:45:50,677 - mmdet - INFO - Epoch [44][850/1849] lr: 2.000e-05, eta: 0:27:43, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.8257, loss_bbox: 0.7231, loss_iou: 1.0851, d0.loss_cls: 1.9469, d0.loss_bbox: 0.7812, d0.loss_iou: 1.1579, d1.loss_cls: 1.9125, d1.loss_bbox: 0.7593, d1.loss_iou: 1.1297, d2.loss_cls: 1.8766, d2.loss_bbox: 0.7420, d2.loss_iou: 1.1054, d3.loss_cls: 1.8509, d3.loss_bbox: 0.7314, d3.loss_iou: 1.0950, d4.loss_cls: 1.8355, d4.loss_bbox: 0.7251, d4.loss_iou: 1.0882, loss: 22.3717, grad_norm: 11.7610 +2022-10-26 22:45:57,837 - mmdet - INFO - Epoch [44][900/1849] lr: 2.000e-05, eta: 0:27:36, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8280, loss_bbox: 0.7180, loss_iou: 1.0836, d0.loss_cls: 1.9533, d0.loss_bbox: 0.7776, d0.loss_iou: 1.1565, d1.loss_cls: 1.9169, d1.loss_bbox: 0.7558, d1.loss_iou: 1.1282, d2.loss_cls: 1.8775, d2.loss_bbox: 0.7372, d2.loss_iou: 1.1039, d3.loss_cls: 1.8538, d3.loss_bbox: 0.7262, d3.loss_iou: 1.0932, d4.loss_cls: 1.8372, d4.loss_bbox: 0.7205, d4.loss_iou: 1.0872, loss: 22.3547, grad_norm: 12.6180 +2022-10-26 22:46:04,642 - mmdet - INFO - Epoch [44][950/1849] lr: 2.000e-05, eta: 0:27:29, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8293, loss_bbox: 0.7190, loss_iou: 1.0897, d0.loss_cls: 1.9517, d0.loss_bbox: 0.7761, d0.loss_iou: 1.1613, d1.loss_cls: 1.9180, d1.loss_bbox: 0.7555, d1.loss_iou: 1.1345, d2.loss_cls: 1.8797, d2.loss_bbox: 0.7384, d2.loss_iou: 1.1107, d3.loss_cls: 1.8580, d3.loss_bbox: 0.7276, d3.loss_iou: 1.0996, d4.loss_cls: 1.8402, d4.loss_bbox: 0.7211, d4.loss_iou: 1.0927, loss: 22.4031, grad_norm: 12.6343 +2022-10-26 22:46:11,455 - mmdet - INFO - Epoch [44][1000/1849] lr: 2.000e-05, eta: 0:27:22, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8398, loss_bbox: 0.7167, loss_iou: 1.0846, d0.loss_cls: 1.9639, d0.loss_bbox: 0.7762, d0.loss_iou: 1.1589, d1.loss_cls: 1.9258, d1.loss_bbox: 0.7531, d1.loss_iou: 1.1303, d2.loss_cls: 1.8900, d2.loss_bbox: 0.7364, d2.loss_iou: 1.1055, d3.loss_cls: 1.8667, d3.loss_bbox: 0.7255, d3.loss_iou: 1.0944, d4.loss_cls: 1.8505, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0873, loss: 22.4242, grad_norm: 11.7923 +2022-10-26 22:46:18,308 - mmdet - INFO - Epoch [44][1050/1849] lr: 2.000e-05, eta: 0:27:15, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8360, loss_bbox: 0.7205, loss_iou: 1.0869, d0.loss_cls: 1.9606, d0.loss_bbox: 0.7784, d0.loss_iou: 1.1607, d1.loss_cls: 1.9210, d1.loss_bbox: 0.7573, d1.loss_iou: 1.1335, d2.loss_cls: 1.8854, d2.loss_bbox: 0.7400, d2.loss_iou: 1.1089, d3.loss_cls: 1.8618, d3.loss_bbox: 0.7291, d3.loss_iou: 1.0973, d4.loss_cls: 1.8457, d4.loss_bbox: 0.7229, d4.loss_iou: 1.0900, loss: 22.4359, grad_norm: 12.7210 +2022-10-26 22:46:25,200 - mmdet - INFO - Epoch [44][1100/1849] lr: 2.000e-05, eta: 0:27:08, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8332, loss_bbox: 0.7149, loss_iou: 1.0812, d0.loss_cls: 1.9561, d0.loss_bbox: 0.7732, d0.loss_iou: 1.1552, d1.loss_cls: 1.9188, d1.loss_bbox: 0.7516, d1.loss_iou: 1.1269, d2.loss_cls: 1.8828, d2.loss_bbox: 0.7346, d2.loss_iou: 1.1028, d3.loss_cls: 1.8615, d3.loss_bbox: 0.7237, d3.loss_iou: 1.0913, d4.loss_cls: 1.8438, d4.loss_bbox: 0.7174, d4.loss_iou: 1.0847, loss: 22.3536, grad_norm: 11.8258 +2022-10-26 22:46:32,108 - mmdet - INFO - Epoch [44][1150/1849] lr: 2.000e-05, eta: 0:27:02, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8323, loss_bbox: 0.7173, loss_iou: 1.0849, d0.loss_cls: 1.9538, d0.loss_bbox: 0.7760, d0.loss_iou: 1.1566, d1.loss_cls: 1.9186, d1.loss_bbox: 0.7554, d1.loss_iou: 1.1298, d2.loss_cls: 1.8808, d2.loss_bbox: 0.7366, d2.loss_iou: 1.1059, d3.loss_cls: 1.8567, d3.loss_bbox: 0.7259, d3.loss_iou: 1.0951, d4.loss_cls: 1.8415, d4.loss_bbox: 0.7199, d4.loss_iou: 1.0882, loss: 22.3752, grad_norm: 13.3277 +2022-10-26 22:46:39,304 - mmdet - INFO - Epoch [44][1200/1849] lr: 2.000e-05, eta: 0:26:55, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.8278, loss_bbox: 0.7174, loss_iou: 1.0855, d0.loss_cls: 1.9513, d0.loss_bbox: 0.7769, d0.loss_iou: 1.1587, d1.loss_cls: 1.9157, d1.loss_bbox: 0.7546, d1.loss_iou: 1.1306, d2.loss_cls: 1.8793, d2.loss_bbox: 0.7365, d2.loss_iou: 1.1056, d3.loss_cls: 1.8541, d3.loss_bbox: 0.7256, d3.loss_iou: 1.0948, d4.loss_cls: 1.8388, d4.loss_bbox: 0.7196, d4.loss_iou: 1.0886, loss: 22.3612, grad_norm: 12.3100 +2022-10-26 22:46:46,186 - mmdet - INFO - Epoch [44][1250/1849] lr: 2.000e-05, eta: 0:26:48, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8337, loss_bbox: 0.7152, loss_iou: 1.0852, d0.loss_cls: 1.9571, d0.loss_bbox: 0.7737, d0.loss_iou: 1.1579, d1.loss_cls: 1.9204, d1.loss_bbox: 0.7521, d1.loss_iou: 1.1304, d2.loss_cls: 1.8857, d2.loss_bbox: 0.7340, d2.loss_iou: 1.1068, d3.loss_cls: 1.8613, d3.loss_bbox: 0.7236, d3.loss_iou: 1.0946, d4.loss_cls: 1.8432, d4.loss_bbox: 0.7171, d4.loss_iou: 1.0885, loss: 22.3803, grad_norm: 12.1779 +2022-10-26 22:46:53,096 - mmdet - INFO - Epoch [44][1300/1849] lr: 2.000e-05, eta: 0:26:41, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8143, loss_bbox: 0.7175, loss_iou: 1.0840, d0.loss_cls: 1.9370, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1562, d1.loss_cls: 1.9021, d1.loss_bbox: 0.7539, d1.loss_iou: 1.1282, d2.loss_cls: 1.8649, d2.loss_bbox: 0.7370, d2.loss_iou: 1.1045, d3.loss_cls: 1.8409, d3.loss_bbox: 0.7264, d3.loss_iou: 1.0934, d4.loss_cls: 1.8229, d4.loss_bbox: 0.7201, d4.loss_iou: 1.0872, loss: 22.2661, grad_norm: 11.5554 +2022-10-26 22:46:59,808 - mmdet - INFO - Epoch [44][1350/1849] lr: 2.000e-05, eta: 0:26:34, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.8244, loss_bbox: 0.7180, loss_iou: 1.0869, d0.loss_cls: 1.9501, d0.loss_bbox: 0.7767, d0.loss_iou: 1.1607, d1.loss_cls: 1.9127, d1.loss_bbox: 0.7554, d1.loss_iou: 1.1319, d2.loss_cls: 1.8750, d2.loss_bbox: 0.7373, d2.loss_iou: 1.1077, d3.loss_cls: 1.8508, d3.loss_bbox: 0.7259, d3.loss_iou: 1.0965, d4.loss_cls: 1.8335, d4.loss_bbox: 0.7200, d4.loss_iou: 1.0897, loss: 22.3531, grad_norm: 11.6879 +2022-10-26 22:47:06,836 - mmdet - INFO - Epoch [44][1400/1849] lr: 2.000e-05, eta: 0:26:27, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8390, loss_bbox: 0.7160, loss_iou: 1.0835, d0.loss_cls: 1.9566, d0.loss_bbox: 0.7755, d0.loss_iou: 1.1571, d1.loss_cls: 1.9245, d1.loss_bbox: 0.7526, d1.loss_iou: 1.1294, d2.loss_cls: 1.8884, d2.loss_bbox: 0.7352, d2.loss_iou: 1.1048, d3.loss_cls: 1.8648, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0935, d4.loss_cls: 1.8484, d4.loss_bbox: 0.7180, d4.loss_iou: 1.0864, loss: 22.3974, grad_norm: 12.1367 +2022-10-26 22:47:13,817 - mmdet - INFO - Epoch [44][1450/1849] lr: 2.000e-05, eta: 0:26:20, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8317, loss_bbox: 0.7193, loss_iou: 1.0833, d0.loss_cls: 1.9537, d0.loss_bbox: 0.7790, d0.loss_iou: 1.1578, d1.loss_cls: 1.9201, d1.loss_bbox: 0.7573, d1.loss_iou: 1.1303, d2.loss_cls: 1.8802, d2.loss_bbox: 0.7395, d2.loss_iou: 1.1058, d3.loss_cls: 1.8562, d3.loss_bbox: 0.7278, d3.loss_iou: 1.0936, d4.loss_cls: 1.8416, d4.loss_bbox: 0.7216, d4.loss_iou: 1.0867, loss: 22.3856, grad_norm: 11.7283 +2022-10-26 22:47:20,764 - mmdet - INFO - Epoch [44][1500/1849] lr: 2.000e-05, eta: 0:26:14, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8227, loss_bbox: 0.7177, loss_iou: 1.0874, d0.loss_cls: 1.9470, d0.loss_bbox: 0.7760, d0.loss_iou: 1.1600, d1.loss_cls: 1.9115, d1.loss_bbox: 0.7544, d1.loss_iou: 1.1328, d2.loss_cls: 1.8767, d2.loss_bbox: 0.7364, d2.loss_iou: 1.1091, d3.loss_cls: 1.8486, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0977, d4.loss_cls: 1.8335, d4.loss_bbox: 0.7200, d4.loss_iou: 1.0907, loss: 22.3485, grad_norm: 11.7436 +2022-10-26 22:47:27,410 - mmdet - INFO - Epoch [44][1550/1849] lr: 2.000e-05, eta: 0:26:07, time: 0.133, data_time: 0.004, memory: 4401, loss_cls: 1.8349, loss_bbox: 0.7187, loss_iou: 1.0878, d0.loss_cls: 1.9540, d0.loss_bbox: 0.7779, d0.loss_iou: 1.1605, d1.loss_cls: 1.9185, d1.loss_bbox: 0.7558, d1.loss_iou: 1.1340, d2.loss_cls: 1.8830, d2.loss_bbox: 0.7378, d2.loss_iou: 1.1097, d3.loss_cls: 1.8610, d3.loss_bbox: 0.7279, d3.loss_iou: 1.0983, d4.loss_cls: 1.8426, d4.loss_bbox: 0.7213, d4.loss_iou: 1.0911, loss: 22.4148, grad_norm: 11.6789 +2022-10-26 22:47:34,426 - mmdet - INFO - Epoch [44][1600/1849] lr: 2.000e-05, eta: 0:26:00, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8203, loss_bbox: 0.7163, loss_iou: 1.0839, d0.loss_cls: 1.9407, d0.loss_bbox: 0.7734, d0.loss_iou: 1.1572, d1.loss_cls: 1.9092, d1.loss_bbox: 0.7528, d1.loss_iou: 1.1282, d2.loss_cls: 1.8702, d2.loss_bbox: 0.7354, d2.loss_iou: 1.1052, d3.loss_cls: 1.8481, d3.loss_bbox: 0.7246, d3.loss_iou: 1.0936, d4.loss_cls: 1.8334, d4.loss_bbox: 0.7183, d4.loss_iou: 1.0869, loss: 22.2979, grad_norm: 11.6531 +2022-10-26 22:47:41,385 - mmdet - INFO - Epoch [44][1650/1849] lr: 2.000e-05, eta: 0:25:53, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8325, loss_bbox: 0.7219, loss_iou: 1.0880, d0.loss_cls: 1.9540, d0.loss_bbox: 0.7799, d0.loss_iou: 1.1602, d1.loss_cls: 1.9206, d1.loss_bbox: 0.7583, d1.loss_iou: 1.1323, d2.loss_cls: 1.8841, d2.loss_bbox: 0.7411, d2.loss_iou: 1.1087, d3.loss_cls: 1.8615, d3.loss_bbox: 0.7307, d3.loss_iou: 1.0978, d4.loss_cls: 1.8413, d4.loss_bbox: 0.7239, d4.loss_iou: 1.0915, loss: 22.4284, grad_norm: 11.7103 +2022-10-26 22:47:48,193 - mmdet - INFO - Epoch [44][1700/1849] lr: 2.000e-05, eta: 0:25:46, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8311, loss_bbox: 0.7187, loss_iou: 1.0841, d0.loss_cls: 1.9519, d0.loss_bbox: 0.7760, d0.loss_iou: 1.1564, d1.loss_cls: 1.9164, d1.loss_bbox: 0.7557, d1.loss_iou: 1.1285, d2.loss_cls: 1.8812, d2.loss_bbox: 0.7376, d2.loss_iou: 1.1049, d3.loss_cls: 1.8583, d3.loss_bbox: 0.7272, d3.loss_iou: 1.0937, d4.loss_cls: 1.8406, d4.loss_bbox: 0.7209, d4.loss_iou: 1.0873, loss: 22.3706, grad_norm: 11.2620 +2022-10-26 22:47:54,999 - mmdet - INFO - Epoch [44][1750/1849] lr: 2.000e-05, eta: 0:25:39, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8333, loss_bbox: 0.7223, loss_iou: 1.0880, d0.loss_cls: 1.9557, d0.loss_bbox: 0.7792, d0.loss_iou: 1.1596, d1.loss_cls: 1.9174, d1.loss_bbox: 0.7580, d1.loss_iou: 1.1326, d2.loss_cls: 1.8833, d2.loss_bbox: 0.7410, d2.loss_iou: 1.1086, d3.loss_cls: 1.8602, d3.loss_bbox: 0.7302, d3.loss_iou: 1.0980, d4.loss_cls: 1.8427, d4.loss_bbox: 0.7243, d4.loss_iou: 1.0919, loss: 22.4262, grad_norm: 11.9412 +2022-10-26 22:48:02,017 - mmdet - INFO - Epoch [44][1800/1849] lr: 2.000e-05, eta: 0:25:32, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8237, loss_bbox: 0.7222, loss_iou: 1.0841, d0.loss_cls: 1.9450, d0.loss_bbox: 0.7806, d0.loss_iou: 1.1563, d1.loss_cls: 1.9085, d1.loss_bbox: 0.7583, d1.loss_iou: 1.1279, d2.loss_cls: 1.8736, d2.loss_bbox: 0.7407, d2.loss_iou: 1.1038, d3.loss_cls: 1.8508, d3.loss_bbox: 0.7304, d3.loss_iou: 1.0930, d4.loss_cls: 1.8332, d4.loss_bbox: 0.7245, d4.loss_iou: 1.0871, loss: 22.3439, grad_norm: 11.7190 +2022-10-26 22:48:09,084 - mmdet - INFO - Saving checkpoint at 44 epochs +2022-10-26 22:48:19,817 - mmdet - INFO - Epoch [45][50/1849] lr: 2.000e-05, eta: 0:25:18, time: 0.202, data_time: 0.063, memory: 4401, loss_cls: 1.8216, loss_bbox: 0.7178, loss_iou: 1.0885, d0.loss_cls: 1.9452, d0.loss_bbox: 0.7754, d0.loss_iou: 1.1614, d1.loss_cls: 1.9079, d1.loss_bbox: 0.7537, d1.loss_iou: 1.1334, d2.loss_cls: 1.8697, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1090, d3.loss_cls: 1.8466, d3.loss_bbox: 0.7262, d3.loss_iou: 1.0983, d4.loss_cls: 1.8307, d4.loss_bbox: 0.7199, d4.loss_iou: 1.0920, loss: 22.3332, grad_norm: 12.0602 +2022-10-26 22:48:26,637 - mmdet - INFO - Epoch [45][100/1849] lr: 2.000e-05, eta: 0:25:11, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8237, loss_bbox: 0.7158, loss_iou: 1.0831, d0.loss_cls: 1.9489, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1558, d1.loss_cls: 1.9114, d1.loss_bbox: 0.7532, d1.loss_iou: 1.1277, d2.loss_cls: 1.8743, d2.loss_bbox: 0.7350, d2.loss_iou: 1.1034, d3.loss_cls: 1.8508, d3.loss_bbox: 0.7242, d3.loss_iou: 1.0924, d4.loss_cls: 1.8349, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0862, loss: 22.3146, grad_norm: 11.7945 +2022-10-26 22:48:33,884 - mmdet - INFO - Epoch [45][150/1849] lr: 2.000e-05, eta: 0:25:04, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.8424, loss_bbox: 0.7230, loss_iou: 1.0862, d0.loss_cls: 1.9661, d0.loss_bbox: 0.7813, d0.loss_iou: 1.1590, d1.loss_cls: 1.9309, d1.loss_bbox: 0.7593, d1.loss_iou: 1.1306, d2.loss_cls: 1.8934, d2.loss_bbox: 0.7429, d2.loss_iou: 1.1075, d3.loss_cls: 1.8694, d3.loss_bbox: 0.7317, d3.loss_iou: 1.0956, d4.loss_cls: 1.8541, d4.loss_bbox: 0.7247, d4.loss_iou: 1.0893, loss: 22.4874, grad_norm: 12.1032 +2022-10-26 22:48:40,930 - mmdet - INFO - Epoch [45][200/1849] lr: 2.000e-05, eta: 0:24:58, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8253, loss_bbox: 0.7192, loss_iou: 1.0813, d0.loss_cls: 1.9463, d0.loss_bbox: 0.7783, d0.loss_iou: 1.1551, d1.loss_cls: 1.9107, d1.loss_bbox: 0.7565, d1.loss_iou: 1.1268, d2.loss_cls: 1.8744, d2.loss_bbox: 0.7387, d2.loss_iou: 1.1034, d3.loss_cls: 1.8498, d3.loss_bbox: 0.7280, d3.loss_iou: 1.0920, d4.loss_cls: 1.8349, d4.loss_bbox: 0.7213, d4.loss_iou: 1.0840, loss: 22.3260, grad_norm: 11.5428 +2022-10-26 22:48:47,937 - mmdet - INFO - Epoch [45][250/1849] lr: 2.000e-05, eta: 0:24:51, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8279, loss_bbox: 0.7177, loss_iou: 1.0833, d0.loss_cls: 1.9516, d0.loss_bbox: 0.7760, d0.loss_iou: 1.1569, d1.loss_cls: 1.9164, d1.loss_bbox: 0.7548, d1.loss_iou: 1.1288, d2.loss_cls: 1.8777, d2.loss_bbox: 0.7366, d2.loss_iou: 1.1051, d3.loss_cls: 1.8547, d3.loss_bbox: 0.7265, d3.loss_iou: 1.0929, d4.loss_cls: 1.8382, d4.loss_bbox: 0.7202, d4.loss_iou: 1.0861, loss: 22.3514, grad_norm: 13.6297 +2022-10-26 22:48:54,893 - mmdet - INFO - Epoch [45][300/1849] lr: 2.000e-05, eta: 0:24:44, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8354, loss_bbox: 0.7195, loss_iou: 1.0801, d0.loss_cls: 1.9532, d0.loss_bbox: 0.7780, d0.loss_iou: 1.1538, d1.loss_cls: 1.9192, d1.loss_bbox: 0.7569, d1.loss_iou: 1.1259, d2.loss_cls: 1.8845, d2.loss_bbox: 0.7386, d2.loss_iou: 1.1014, d3.loss_cls: 1.8616, d3.loss_bbox: 0.7278, d3.loss_iou: 1.0899, d4.loss_cls: 1.8452, d4.loss_bbox: 0.7216, d4.loss_iou: 1.0829, loss: 22.3755, grad_norm: 11.7647 +2022-10-26 22:49:02,008 - mmdet - INFO - Epoch [45][350/1849] lr: 2.000e-05, eta: 0:24:37, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8232, loss_bbox: 0.7146, loss_iou: 1.0778, d0.loss_cls: 1.9473, d0.loss_bbox: 0.7730, d0.loss_iou: 1.1486, d1.loss_cls: 1.9112, d1.loss_bbox: 0.7518, d1.loss_iou: 1.1228, d2.loss_cls: 1.8747, d2.loss_bbox: 0.7337, d2.loss_iou: 1.0986, d3.loss_cls: 1.8504, d3.loss_bbox: 0.7227, d3.loss_iou: 1.0872, d4.loss_cls: 1.8339, d4.loss_bbox: 0.7166, d4.loss_iou: 1.0809, loss: 22.2690, grad_norm: 12.6657 +2022-10-26 22:49:09,043 - mmdet - INFO - Epoch [45][400/1849] lr: 2.000e-05, eta: 0:24:30, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8249, loss_bbox: 0.7182, loss_iou: 1.0871, d0.loss_cls: 1.9485, d0.loss_bbox: 0.7748, d0.loss_iou: 1.1615, d1.loss_cls: 1.9120, d1.loss_bbox: 0.7548, d1.loss_iou: 1.1328, d2.loss_cls: 1.8753, d2.loss_bbox: 0.7373, d2.loss_iou: 1.1087, d3.loss_cls: 1.8516, d3.loss_bbox: 0.7261, d3.loss_iou: 1.0973, d4.loss_cls: 1.8353, d4.loss_bbox: 0.7207, d4.loss_iou: 1.0902, loss: 22.3572, grad_norm: 12.0186 +2022-10-26 22:49:15,847 - mmdet - INFO - Epoch [45][450/1849] lr: 2.000e-05, eta: 0:24:23, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8260, loss_bbox: 0.7153, loss_iou: 1.0829, d0.loss_cls: 1.9507, d0.loss_bbox: 0.7752, d0.loss_iou: 1.1580, d1.loss_cls: 1.9116, d1.loss_bbox: 0.7525, d1.loss_iou: 1.1288, d2.loss_cls: 1.8753, d2.loss_bbox: 0.7345, d2.loss_iou: 1.1047, d3.loss_cls: 1.8506, d3.loss_bbox: 0.7237, d3.loss_iou: 1.0936, d4.loss_cls: 1.8353, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0862, loss: 22.3223, grad_norm: 11.6561 +2022-10-26 22:49:22,778 - mmdet - INFO - Epoch [45][500/1849] lr: 2.000e-05, eta: 0:24:16, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8322, loss_bbox: 0.7176, loss_iou: 1.0830, d0.loss_cls: 1.9547, d0.loss_bbox: 0.7762, d0.loss_iou: 1.1556, d1.loss_cls: 1.9175, d1.loss_bbox: 0.7550, d1.loss_iou: 1.1284, d2.loss_cls: 1.8828, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1032, d3.loss_cls: 1.8575, d3.loss_bbox: 0.7259, d3.loss_iou: 1.0926, d4.loss_cls: 1.8426, d4.loss_bbox: 0.7196, d4.loss_iou: 1.0860, loss: 22.3663, grad_norm: 12.4777 +2022-10-26 22:49:29,777 - mmdet - INFO - Epoch [45][550/1849] lr: 2.000e-05, eta: 0:24:10, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8242, loss_bbox: 0.7197, loss_iou: 1.0844, d0.loss_cls: 1.9483, d0.loss_bbox: 0.7786, d0.loss_iou: 1.1577, d1.loss_cls: 1.9104, d1.loss_bbox: 0.7570, d1.loss_iou: 1.1294, d2.loss_cls: 1.8740, d2.loss_bbox: 0.7396, d2.loss_iou: 1.1059, d3.loss_cls: 1.8497, d3.loss_bbox: 0.7286, d3.loss_iou: 1.0942, d4.loss_cls: 1.8351, d4.loss_bbox: 0.7219, d4.loss_iou: 1.0874, loss: 22.3461, grad_norm: 12.0567 +2022-10-26 22:49:36,886 - mmdet - INFO - Epoch [45][600/1849] lr: 2.000e-05, eta: 0:24:03, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8313, loss_bbox: 0.7156, loss_iou: 1.0865, d0.loss_cls: 1.9557, d0.loss_bbox: 0.7742, d0.loss_iou: 1.1596, d1.loss_cls: 1.9178, d1.loss_bbox: 0.7534, d1.loss_iou: 1.1316, d2.loss_cls: 1.8828, d2.loss_bbox: 0.7355, d2.loss_iou: 1.1076, d3.loss_cls: 1.8584, d3.loss_bbox: 0.7241, d3.loss_iou: 1.0959, d4.loss_cls: 1.8425, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0897, loss: 22.3797, grad_norm: 12.0565 +2022-10-26 22:49:44,036 - mmdet - INFO - Epoch [45][650/1849] lr: 2.000e-05, eta: 0:23:56, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8325, loss_bbox: 0.7154, loss_iou: 1.0797, d0.loss_cls: 1.9530, d0.loss_bbox: 0.7735, d0.loss_iou: 1.1537, d1.loss_cls: 1.9161, d1.loss_bbox: 0.7523, d1.loss_iou: 1.1254, d2.loss_cls: 1.8807, d2.loss_bbox: 0.7351, d2.loss_iou: 1.1014, d3.loss_cls: 1.8570, d3.loss_bbox: 0.7237, d3.loss_iou: 1.0895, d4.loss_cls: 1.8408, d4.loss_bbox: 0.7177, d4.loss_iou: 1.0829, loss: 22.3303, grad_norm: 11.7294 +2022-10-26 22:49:51,073 - mmdet - INFO - Epoch [45][700/1849] lr: 2.000e-05, eta: 0:23:49, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8291, loss_bbox: 0.7162, loss_iou: 1.0838, d0.loss_cls: 1.9574, d0.loss_bbox: 0.7756, d0.loss_iou: 1.1555, d1.loss_cls: 1.9185, d1.loss_bbox: 0.7537, d1.loss_iou: 1.1279, d2.loss_cls: 1.8804, d2.loss_bbox: 0.7360, d2.loss_iou: 1.1048, d3.loss_cls: 1.8568, d3.loss_bbox: 0.7249, d3.loss_iou: 1.0936, d4.loss_cls: 1.8400, d4.loss_bbox: 0.7189, d4.loss_iou: 1.0870, loss: 22.3603, grad_norm: 12.1888 +2022-10-26 22:49:57,962 - mmdet - INFO - Epoch [45][750/1849] lr: 2.000e-05, eta: 0:23:42, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8174, loss_bbox: 0.7154, loss_iou: 1.0854, d0.loss_cls: 1.9441, d0.loss_bbox: 0.7741, d0.loss_iou: 1.1587, d1.loss_cls: 1.9058, d1.loss_bbox: 0.7522, d1.loss_iou: 1.1314, d2.loss_cls: 1.8692, d2.loss_bbox: 0.7348, d2.loss_iou: 1.1070, d3.loss_cls: 1.8433, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0950, d4.loss_cls: 1.8282, d4.loss_bbox: 0.7179, d4.loss_iou: 1.0883, loss: 22.2921, grad_norm: 11.5732 +2022-10-26 22:50:04,929 - mmdet - INFO - Epoch [45][800/1849] lr: 2.000e-05, eta: 0:23:35, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8163, loss_bbox: 0.7143, loss_iou: 1.0800, d0.loss_cls: 1.9415, d0.loss_bbox: 0.7741, d0.loss_iou: 1.1543, d1.loss_cls: 1.9044, d1.loss_bbox: 0.7516, d1.loss_iou: 1.1254, d2.loss_cls: 1.8658, d2.loss_bbox: 0.7342, d2.loss_iou: 1.1006, d3.loss_cls: 1.8430, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0901, d4.loss_cls: 1.8260, d4.loss_bbox: 0.7169, d4.loss_iou: 1.0835, loss: 22.2448, grad_norm: 11.6984 +2022-10-26 22:50:11,865 - mmdet - INFO - Epoch [45][850/1849] lr: 2.000e-05, eta: 0:23:28, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8331, loss_bbox: 0.7185, loss_iou: 1.0828, d0.loss_cls: 1.9590, d0.loss_bbox: 0.7760, d0.loss_iou: 1.1546, d1.loss_cls: 1.9218, d1.loss_bbox: 0.7543, d1.loss_iou: 1.1273, d2.loss_cls: 1.8857, d2.loss_bbox: 0.7375, d2.loss_iou: 1.1037, d3.loss_cls: 1.8617, d3.loss_bbox: 0.7267, d3.loss_iou: 1.0923, d4.loss_cls: 1.8434, d4.loss_bbox: 0.7205, d4.loss_iou: 1.0859, loss: 22.3846, grad_norm: 13.2739 +2022-10-26 22:50:18,863 - mmdet - INFO - Epoch [45][900/1849] lr: 2.000e-05, eta: 0:23:22, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8365, loss_bbox: 0.7168, loss_iou: 1.0818, d0.loss_cls: 1.9602, d0.loss_bbox: 0.7763, d0.loss_iou: 1.1558, d1.loss_cls: 1.9259, d1.loss_bbox: 0.7535, d1.loss_iou: 1.1266, d2.loss_cls: 1.8878, d2.loss_bbox: 0.7356, d2.loss_iou: 1.1029, d3.loss_cls: 1.8617, d3.loss_bbox: 0.7251, d3.loss_iou: 1.0921, d4.loss_cls: 1.8459, d4.loss_bbox: 0.7190, d4.loss_iou: 1.0851, loss: 22.3887, grad_norm: 11.5402 +2022-10-26 22:50:25,812 - mmdet - INFO - Epoch [45][950/1849] lr: 2.000e-05, eta: 0:23:15, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8286, loss_bbox: 0.7220, loss_iou: 1.0823, d0.loss_cls: 1.9479, d0.loss_bbox: 0.7798, d0.loss_iou: 1.1547, d1.loss_cls: 1.9134, d1.loss_bbox: 0.7580, d1.loss_iou: 1.1272, d2.loss_cls: 1.8797, d2.loss_bbox: 0.7403, d2.loss_iou: 1.1036, d3.loss_cls: 1.8557, d3.loss_bbox: 0.7301, d3.loss_iou: 1.0925, d4.loss_cls: 1.8393, d4.loss_bbox: 0.7244, d4.loss_iou: 1.0855, loss: 22.3651, grad_norm: 12.2082 +2022-10-26 22:50:32,772 - mmdet - INFO - Epoch [45][1000/1849] lr: 2.000e-05, eta: 0:23:08, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8277, loss_bbox: 0.7214, loss_iou: 1.0884, d0.loss_cls: 1.9499, d0.loss_bbox: 0.7792, d0.loss_iou: 1.1618, d1.loss_cls: 1.9157, d1.loss_bbox: 0.7573, d1.loss_iou: 1.1337, d2.loss_cls: 1.8790, d2.loss_bbox: 0.7400, d2.loss_iou: 1.1099, d3.loss_cls: 1.8546, d3.loss_bbox: 0.7298, d3.loss_iou: 1.0987, d4.loss_cls: 1.8391, d4.loss_bbox: 0.7234, d4.loss_iou: 1.0915, loss: 22.4013, grad_norm: 11.8912 +2022-10-26 22:50:39,883 - mmdet - INFO - Epoch [45][1050/1849] lr: 2.000e-05, eta: 0:23:01, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8373, loss_bbox: 0.7181, loss_iou: 1.0823, d0.loss_cls: 1.9623, d0.loss_bbox: 0.7760, d0.loss_iou: 1.1561, d1.loss_cls: 1.9267, d1.loss_bbox: 0.7549, d1.loss_iou: 1.1274, d2.loss_cls: 1.8880, d2.loss_bbox: 0.7371, d2.loss_iou: 1.1034, d3.loss_cls: 1.8652, d3.loss_bbox: 0.7265, d3.loss_iou: 1.0922, d4.loss_cls: 1.8480, d4.loss_bbox: 0.7203, d4.loss_iou: 1.0859, loss: 22.4077, grad_norm: 12.2065 +2022-10-26 22:50:46,978 - mmdet - INFO - Epoch [45][1100/1849] lr: 2.000e-05, eta: 0:22:54, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8194, loss_bbox: 0.7190, loss_iou: 1.0832, d0.loss_cls: 1.9393, d0.loss_bbox: 0.7775, d0.loss_iou: 1.1567, d1.loss_cls: 1.9058, d1.loss_bbox: 0.7564, d1.loss_iou: 1.1278, d2.loss_cls: 1.8691, d2.loss_bbox: 0.7392, d2.loss_iou: 1.1044, d3.loss_cls: 1.8488, d3.loss_bbox: 0.7277, d3.loss_iou: 1.0927, d4.loss_cls: 1.8313, d4.loss_bbox: 0.7215, d4.loss_iou: 1.0861, loss: 22.3057, grad_norm: 12.5793 +2022-10-26 22:50:54,005 - mmdet - INFO - Epoch [45][1150/1849] lr: 2.000e-05, eta: 0:22:47, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8226, loss_bbox: 0.7152, loss_iou: 1.0831, d0.loss_cls: 1.9426, d0.loss_bbox: 0.7745, d0.loss_iou: 1.1559, d1.loss_cls: 1.9085, d1.loss_bbox: 0.7528, d1.loss_iou: 1.1273, d2.loss_cls: 1.8723, d2.loss_bbox: 0.7352, d2.loss_iou: 1.1035, d3.loss_cls: 1.8485, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0923, d4.loss_cls: 1.8299, d4.loss_bbox: 0.7178, d4.loss_iou: 1.0865, loss: 22.2924, grad_norm: 12.9755 +2022-10-26 22:51:01,040 - mmdet - INFO - Epoch [45][1200/1849] lr: 2.000e-05, eta: 0:22:40, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8401, loss_bbox: 0.7158, loss_iou: 1.0839, d0.loss_cls: 1.9626, d0.loss_bbox: 0.7755, d0.loss_iou: 1.1589, d1.loss_cls: 1.9269, d1.loss_bbox: 0.7536, d1.loss_iou: 1.1302, d2.loss_cls: 1.8913, d2.loss_bbox: 0.7359, d2.loss_iou: 1.1054, d3.loss_cls: 1.8662, d3.loss_bbox: 0.7247, d3.loss_iou: 1.0935, d4.loss_cls: 1.8501, d4.loss_bbox: 0.7182, d4.loss_iou: 1.0870, loss: 22.4198, grad_norm: 12.1407 +2022-10-26 22:51:08,071 - mmdet - INFO - Epoch [45][1250/1849] lr: 2.000e-05, eta: 0:22:34, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8349, loss_bbox: 0.7190, loss_iou: 1.0828, d0.loss_cls: 1.9569, d0.loss_bbox: 0.7772, d0.loss_iou: 1.1552, d1.loss_cls: 1.9225, d1.loss_bbox: 0.7570, d1.loss_iou: 1.1284, d2.loss_cls: 1.8852, d2.loss_bbox: 0.7389, d2.loss_iou: 1.1039, d3.loss_cls: 1.8623, d3.loss_bbox: 0.7279, d3.loss_iou: 1.0927, d4.loss_cls: 1.8448, d4.loss_bbox: 0.7217, d4.loss_iou: 1.0857, loss: 22.3972, grad_norm: 11.9451 +2022-10-26 22:51:14,806 - mmdet - INFO - Epoch [45][1300/1849] lr: 2.000e-05, eta: 0:22:27, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8259, loss_bbox: 0.7156, loss_iou: 1.0788, d0.loss_cls: 1.9531, d0.loss_bbox: 0.7754, d0.loss_iou: 1.1533, d1.loss_cls: 1.9181, d1.loss_bbox: 0.7536, d1.loss_iou: 1.1243, d2.loss_cls: 1.8805, d2.loss_bbox: 0.7347, d2.loss_iou: 1.1002, d3.loss_cls: 1.8533, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0885, d4.loss_cls: 1.8378, d4.loss_bbox: 0.7178, d4.loss_iou: 1.0818, loss: 22.3166, grad_norm: 12.2157 +2022-10-26 22:51:21,871 - mmdet - INFO - Epoch [45][1350/1849] lr: 2.000e-05, eta: 0:22:20, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8273, loss_bbox: 0.7177, loss_iou: 1.0811, d0.loss_cls: 1.9486, d0.loss_bbox: 0.7768, d0.loss_iou: 1.1556, d1.loss_cls: 1.9142, d1.loss_bbox: 0.7555, d1.loss_iou: 1.1274, d2.loss_cls: 1.8782, d2.loss_bbox: 0.7375, d2.loss_iou: 1.1023, d3.loss_cls: 1.8539, d3.loss_bbox: 0.7268, d3.loss_iou: 1.0912, d4.loss_cls: 1.8388, d4.loss_bbox: 0.7200, d4.loss_iou: 1.0842, loss: 22.3370, grad_norm: 12.0388 +2022-10-26 22:51:28,928 - mmdet - INFO - Epoch [45][1400/1849] lr: 2.000e-05, eta: 0:22:13, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8213, loss_bbox: 0.7203, loss_iou: 1.0918, d0.loss_cls: 1.9411, d0.loss_bbox: 0.7776, d0.loss_iou: 1.1646, d1.loss_cls: 1.9058, d1.loss_bbox: 0.7564, d1.loss_iou: 1.1366, d2.loss_cls: 1.8709, d2.loss_bbox: 0.7387, d2.loss_iou: 1.1132, d3.loss_cls: 1.8486, d3.loss_bbox: 0.7287, d3.loss_iou: 1.1011, d4.loss_cls: 1.8321, d4.loss_bbox: 0.7225, d4.loss_iou: 1.0946, loss: 22.3659, grad_norm: 11.8727 +2022-10-26 22:51:35,916 - mmdet - INFO - Epoch [45][1450/1849] lr: 2.000e-05, eta: 0:22:06, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8322, loss_bbox: 0.7191, loss_iou: 1.0851, d0.loss_cls: 1.9594, d0.loss_bbox: 0.7783, d0.loss_iou: 1.1580, d1.loss_cls: 1.9216, d1.loss_bbox: 0.7567, d1.loss_iou: 1.1293, d2.loss_cls: 1.8851, d2.loss_bbox: 0.7386, d2.loss_iou: 1.1055, d3.loss_cls: 1.8609, d3.loss_bbox: 0.7272, d3.loss_iou: 1.0939, d4.loss_cls: 1.8423, d4.loss_bbox: 0.7216, d4.loss_iou: 1.0876, loss: 22.4026, grad_norm: 12.4717 +2022-10-26 22:51:42,997 - mmdet - INFO - Epoch [45][1500/1849] lr: 2.000e-05, eta: 0:21:59, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8335, loss_bbox: 0.7170, loss_iou: 1.0877, d0.loss_cls: 1.9544, d0.loss_bbox: 0.7765, d0.loss_iou: 1.1606, d1.loss_cls: 1.9212, d1.loss_bbox: 0.7544, d1.loss_iou: 1.1331, d2.loss_cls: 1.8850, d2.loss_bbox: 0.7366, d2.loss_iou: 1.1096, d3.loss_cls: 1.8585, d3.loss_bbox: 0.7255, d3.loss_iou: 1.0976, d4.loss_cls: 1.8430, d4.loss_bbox: 0.7192, d4.loss_iou: 1.0906, loss: 22.4038, grad_norm: 11.8447 +2022-10-26 22:51:50,010 - mmdet - INFO - Epoch [45][1550/1849] lr: 2.000e-05, eta: 0:21:52, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8263, loss_bbox: 0.7179, loss_iou: 1.0831, d0.loss_cls: 1.9488, d0.loss_bbox: 0.7780, d0.loss_iou: 1.1555, d1.loss_cls: 1.9098, d1.loss_bbox: 0.7555, d1.loss_iou: 1.1283, d2.loss_cls: 1.8769, d2.loss_bbox: 0.7378, d2.loss_iou: 1.1043, d3.loss_cls: 1.8535, d3.loss_bbox: 0.7267, d3.loss_iou: 1.0929, d4.loss_cls: 1.8367, d4.loss_bbox: 0.7206, d4.loss_iou: 1.0861, loss: 22.3387, grad_norm: 11.8601 +2022-10-26 22:51:57,066 - mmdet - INFO - Epoch [45][1600/1849] lr: 2.000e-05, eta: 0:21:46, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8430, loss_bbox: 0.7219, loss_iou: 1.0878, d0.loss_cls: 1.9676, d0.loss_bbox: 0.7812, d0.loss_iou: 1.1608, d1.loss_cls: 1.9294, d1.loss_bbox: 0.7594, d1.loss_iou: 1.1333, d2.loss_cls: 1.8916, d2.loss_bbox: 0.7416, d2.loss_iou: 1.1084, d3.loss_cls: 1.8683, d3.loss_bbox: 0.7303, d3.loss_iou: 1.0972, d4.loss_cls: 1.8536, d4.loss_bbox: 0.7242, d4.loss_iou: 1.0909, loss: 22.4904, grad_norm: 12.1704 +2022-10-26 22:52:04,006 - mmdet - INFO - Epoch [45][1650/1849] lr: 2.000e-05, eta: 0:21:39, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8140, loss_bbox: 0.7130, loss_iou: 1.0775, d0.loss_cls: 1.9362, d0.loss_bbox: 0.7728, d0.loss_iou: 1.1509, d1.loss_cls: 1.8969, d1.loss_bbox: 0.7513, d1.loss_iou: 1.1241, d2.loss_cls: 1.8627, d2.loss_bbox: 0.7330, d2.loss_iou: 1.0989, d3.loss_cls: 1.8402, d3.loss_bbox: 0.7217, d3.loss_iou: 1.0871, d4.loss_cls: 1.8235, d4.loss_bbox: 0.7154, d4.loss_iou: 1.0802, loss: 22.1993, grad_norm: 12.6885 +2022-10-26 22:52:10,921 - mmdet - INFO - Epoch [45][1700/1849] lr: 2.000e-05, eta: 0:21:32, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8113, loss_bbox: 0.7178, loss_iou: 1.0837, d0.loss_cls: 1.9358, d0.loss_bbox: 0.7771, d0.loss_iou: 1.1581, d1.loss_cls: 1.8988, d1.loss_bbox: 0.7549, d1.loss_iou: 1.1288, d2.loss_cls: 1.8609, d2.loss_bbox: 0.7370, d2.loss_iou: 1.1051, d3.loss_cls: 1.8356, d3.loss_bbox: 0.7261, d3.loss_iou: 1.0936, d4.loss_cls: 1.8201, d4.loss_bbox: 0.7201, d4.loss_iou: 1.0871, loss: 22.2520, grad_norm: 12.0716 +2022-10-26 22:52:18,094 - mmdet - INFO - Epoch [45][1750/1849] lr: 2.000e-05, eta: 0:21:25, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8199, loss_bbox: 0.7174, loss_iou: 1.0811, d0.loss_cls: 1.9427, d0.loss_bbox: 0.7758, d0.loss_iou: 1.1543, d1.loss_cls: 1.9071, d1.loss_bbox: 0.7539, d1.loss_iou: 1.1260, d2.loss_cls: 1.8710, d2.loss_bbox: 0.7362, d2.loss_iou: 1.1021, d3.loss_cls: 1.8467, d3.loss_bbox: 0.7258, d3.loss_iou: 1.0905, d4.loss_cls: 1.8311, d4.loss_bbox: 0.7195, d4.loss_iou: 1.0841, loss: 22.2851, grad_norm: 12.4253 +2022-10-26 22:52:25,213 - mmdet - INFO - Epoch [45][1800/1849] lr: 2.000e-05, eta: 0:21:18, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8229, loss_bbox: 0.7161, loss_iou: 1.0835, d0.loss_cls: 1.9484, d0.loss_bbox: 0.7763, d0.loss_iou: 1.1580, d1.loss_cls: 1.9108, d1.loss_bbox: 0.7538, d1.loss_iou: 1.1291, d2.loss_cls: 1.8745, d2.loss_bbox: 0.7358, d2.loss_iou: 1.1039, d3.loss_cls: 1.8503, d3.loss_bbox: 0.7247, d3.loss_iou: 1.0934, d4.loss_cls: 1.8342, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0869, loss: 22.3206, grad_norm: 12.6212 +2022-10-26 22:52:32,337 - mmdet - INFO - Saving checkpoint at 45 epochs +2022-10-26 22:52:43,132 - mmdet - INFO - Epoch [46][50/1849] lr: 2.000e-05, eta: 0:21:04, time: 0.201, data_time: 0.063, memory: 4401, loss_cls: 1.8257, loss_bbox: 0.7144, loss_iou: 1.0830, d0.loss_cls: 1.9479, d0.loss_bbox: 0.7739, d0.loss_iou: 1.1566, d1.loss_cls: 1.9097, d1.loss_bbox: 0.7515, d1.loss_iou: 1.1292, d2.loss_cls: 1.8776, d2.loss_bbox: 0.7342, d2.loss_iou: 1.1044, d3.loss_cls: 1.8533, d3.loss_bbox: 0.7236, d3.loss_iou: 1.0928, d4.loss_cls: 1.8363, d4.loss_bbox: 0.7172, d4.loss_iou: 1.0859, loss: 22.3173, grad_norm: 11.7374 +2022-10-26 22:52:50,224 - mmdet - INFO - Epoch [46][100/1849] lr: 2.000e-05, eta: 0:20:57, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8136, loss_bbox: 0.7198, loss_iou: 1.0861, d0.loss_cls: 1.9360, d0.loss_bbox: 0.7779, d0.loss_iou: 1.1595, d1.loss_cls: 1.8986, d1.loss_bbox: 0.7563, d1.loss_iou: 1.1324, d2.loss_cls: 1.8657, d2.loss_bbox: 0.7385, d2.loss_iou: 1.1073, d3.loss_cls: 1.8424, d3.loss_bbox: 0.7282, d3.loss_iou: 1.0962, d4.loss_cls: 1.8257, d4.loss_bbox: 0.7219, d4.loss_iou: 1.0892, loss: 22.2952, grad_norm: 12.7201 +2022-10-26 22:52:57,333 - mmdet - INFO - Epoch [46][150/1849] lr: 2.000e-05, eta: 0:20:50, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8301, loss_bbox: 0.7199, loss_iou: 1.0855, d0.loss_cls: 1.9555, d0.loss_bbox: 0.7778, d0.loss_iou: 1.1589, d1.loss_cls: 1.9195, d1.loss_bbox: 0.7564, d1.loss_iou: 1.1308, d2.loss_cls: 1.8811, d2.loss_bbox: 0.7394, d2.loss_iou: 1.1070, d3.loss_cls: 1.8569, d3.loss_bbox: 0.7286, d3.loss_iou: 1.0950, d4.loss_cls: 1.8400, d4.loss_bbox: 0.7225, d4.loss_iou: 1.0890, loss: 22.3940, grad_norm: 12.5290 +2022-10-26 22:53:04,562 - mmdet - INFO - Epoch [46][200/1849] lr: 2.000e-05, eta: 0:20:44, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.8284, loss_bbox: 0.7188, loss_iou: 1.0853, d0.loss_cls: 1.9517, d0.loss_bbox: 0.7766, d0.loss_iou: 1.1570, d1.loss_cls: 1.9172, d1.loss_bbox: 0.7553, d1.loss_iou: 1.1303, d2.loss_cls: 1.8794, d2.loss_bbox: 0.7379, d2.loss_iou: 1.1061, d3.loss_cls: 1.8567, d3.loss_bbox: 0.7273, d3.loss_iou: 1.0948, d4.loss_cls: 1.8398, d4.loss_bbox: 0.7209, d4.loss_iou: 1.0881, loss: 22.3717, grad_norm: 11.4562 +2022-10-26 22:53:11,559 - mmdet - INFO - Epoch [46][250/1849] lr: 2.000e-05, eta: 0:20:37, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8330, loss_bbox: 0.7222, loss_iou: 1.0875, d0.loss_cls: 1.9565, d0.loss_bbox: 0.7789, d0.loss_iou: 1.1589, d1.loss_cls: 1.9223, d1.loss_bbox: 0.7577, d1.loss_iou: 1.1323, d2.loss_cls: 1.8855, d2.loss_bbox: 0.7407, d2.loss_iou: 1.1084, d3.loss_cls: 1.8605, d3.loss_bbox: 0.7306, d3.loss_iou: 1.0969, d4.loss_cls: 1.8445, d4.loss_bbox: 0.7245, d4.loss_iou: 1.0909, loss: 22.4318, grad_norm: 11.9710 +2022-10-26 22:53:18,617 - mmdet - INFO - Epoch [46][300/1849] lr: 2.000e-05, eta: 0:20:30, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8226, loss_bbox: 0.7163, loss_iou: 1.0843, d0.loss_cls: 1.9466, d0.loss_bbox: 0.7739, d0.loss_iou: 1.1570, d1.loss_cls: 1.9090, d1.loss_bbox: 0.7516, d1.loss_iou: 1.1299, d2.loss_cls: 1.8736, d2.loss_bbox: 0.7347, d2.loss_iou: 1.1052, d3.loss_cls: 1.8514, d3.loss_bbox: 0.7243, d3.loss_iou: 1.0938, d4.loss_cls: 1.8331, d4.loss_bbox: 0.7186, d4.loss_iou: 1.0871, loss: 22.3128, grad_norm: 12.2977 +2022-10-26 22:53:25,819 - mmdet - INFO - Epoch [46][350/1849] lr: 2.000e-05, eta: 0:20:23, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.8232, loss_bbox: 0.7164, loss_iou: 1.0821, d0.loss_cls: 1.9492, d0.loss_bbox: 0.7741, d0.loss_iou: 1.1544, d1.loss_cls: 1.9110, d1.loss_bbox: 0.7518, d1.loss_iou: 1.1264, d2.loss_cls: 1.8757, d2.loss_bbox: 0.7353, d2.loss_iou: 1.1026, d3.loss_cls: 1.8502, d3.loss_bbox: 0.7246, d3.loss_iou: 1.0921, d4.loss_cls: 1.8326, d4.loss_bbox: 0.7185, d4.loss_iou: 1.0847, loss: 22.3049, grad_norm: 12.8852 +2022-10-26 22:53:33,087 - mmdet - INFO - Epoch [46][400/1849] lr: 2.000e-05, eta: 0:20:16, time: 0.146, data_time: 0.005, memory: 4401, loss_cls: 1.8157, loss_bbox: 0.7153, loss_iou: 1.0808, d0.loss_cls: 1.9459, d0.loss_bbox: 0.7748, d0.loss_iou: 1.1544, d1.loss_cls: 1.9029, d1.loss_bbox: 0.7526, d1.loss_iou: 1.1265, d2.loss_cls: 1.8666, d2.loss_bbox: 0.7346, d2.loss_iou: 1.1019, d3.loss_cls: 1.8410, d3.loss_bbox: 0.7236, d3.loss_iou: 1.0914, d4.loss_cls: 1.8252, d4.loss_bbox: 0.7175, d4.loss_iou: 1.0836, loss: 22.2544, grad_norm: 11.6181 +2022-10-26 22:53:40,191 - mmdet - INFO - Epoch [46][450/1849] lr: 2.000e-05, eta: 0:20:09, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8356, loss_bbox: 0.7188, loss_iou: 1.0867, d0.loss_cls: 1.9627, d0.loss_bbox: 0.7771, d0.loss_iou: 1.1583, d1.loss_cls: 1.9252, d1.loss_bbox: 0.7554, d1.loss_iou: 1.1305, d2.loss_cls: 1.8882, d2.loss_bbox: 0.7388, d2.loss_iou: 1.1074, d3.loss_cls: 1.8634, d3.loss_bbox: 0.7274, d3.loss_iou: 1.0960, d4.loss_cls: 1.8469, d4.loss_bbox: 0.7212, d4.loss_iou: 1.0901, loss: 22.4294, grad_norm: 11.9878 +2022-10-26 22:53:47,307 - mmdet - INFO - Epoch [46][500/1849] lr: 2.000e-05, eta: 0:20:02, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8121, loss_bbox: 0.7116, loss_iou: 1.0819, d0.loss_cls: 1.9369, d0.loss_bbox: 0.7717, d0.loss_iou: 1.1558, d1.loss_cls: 1.9015, d1.loss_bbox: 0.7487, d1.loss_iou: 1.1260, d2.loss_cls: 1.8641, d2.loss_bbox: 0.7310, d2.loss_iou: 1.1026, d3.loss_cls: 1.8384, d3.loss_bbox: 0.7203, d3.loss_iou: 1.0915, d4.loss_cls: 1.8233, d4.loss_bbox: 0.7138, d4.loss_iou: 1.0848, loss: 22.2159, grad_norm: 12.3100 +2022-10-26 22:53:54,230 - mmdet - INFO - Epoch [46][550/1849] lr: 2.000e-05, eta: 0:19:56, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8214, loss_bbox: 0.7170, loss_iou: 1.0782, d0.loss_cls: 1.9430, d0.loss_bbox: 0.7751, d0.loss_iou: 1.1498, d1.loss_cls: 1.9072, d1.loss_bbox: 0.7534, d1.loss_iou: 1.1223, d2.loss_cls: 1.8707, d2.loss_bbox: 0.7363, d2.loss_iou: 1.0983, d3.loss_cls: 1.8481, d3.loss_bbox: 0.7254, d3.loss_iou: 1.0876, d4.loss_cls: 1.8332, d4.loss_bbox: 0.7191, d4.loss_iou: 1.0812, loss: 22.2672, grad_norm: 12.1516 +2022-10-26 22:54:01,293 - mmdet - INFO - Epoch [46][600/1849] lr: 2.000e-05, eta: 0:19:49, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8164, loss_bbox: 0.7174, loss_iou: 1.0823, d0.loss_cls: 1.9392, d0.loss_bbox: 0.7753, d0.loss_iou: 1.1546, d1.loss_cls: 1.9021, d1.loss_bbox: 0.7540, d1.loss_iou: 1.1270, d2.loss_cls: 1.8668, d2.loss_bbox: 0.7363, d2.loss_iou: 1.1030, d3.loss_cls: 1.8431, d3.loss_bbox: 0.7260, d3.loss_iou: 1.0920, d4.loss_cls: 1.8266, d4.loss_bbox: 0.7199, d4.loss_iou: 1.0852, loss: 22.2670, grad_norm: 11.7378 +2022-10-26 22:54:08,348 - mmdet - INFO - Epoch [46][650/1849] lr: 2.000e-05, eta: 0:19:42, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8218, loss_bbox: 0.7163, loss_iou: 1.0808, d0.loss_cls: 1.9479, d0.loss_bbox: 0.7758, d0.loss_iou: 1.1538, d1.loss_cls: 1.9112, d1.loss_bbox: 0.7534, d1.loss_iou: 1.1256, d2.loss_cls: 1.8731, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1021, d3.loss_cls: 1.8494, d3.loss_bbox: 0.7243, d3.loss_iou: 1.0902, d4.loss_cls: 1.8319, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0840, loss: 22.2966, grad_norm: 12.3001 +2022-10-26 22:54:15,104 - mmdet - INFO - Epoch [46][700/1849] lr: 2.000e-05, eta: 0:19:35, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8208, loss_bbox: 0.7124, loss_iou: 1.0803, d0.loss_cls: 1.9433, d0.loss_bbox: 0.7718, d0.loss_iou: 1.1533, d1.loss_cls: 1.9094, d1.loss_bbox: 0.7503, d1.loss_iou: 1.1251, d2.loss_cls: 1.8717, d2.loss_bbox: 0.7322, d2.loss_iou: 1.1019, d3.loss_cls: 1.8493, d3.loss_bbox: 0.7214, d3.loss_iou: 1.0899, d4.loss_cls: 1.8305, d4.loss_bbox: 0.7146, d4.loss_iou: 1.0834, loss: 22.2616, grad_norm: 12.6637 +2022-10-26 22:54:21,946 - mmdet - INFO - Epoch [46][750/1849] lr: 2.000e-05, eta: 0:19:28, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8214, loss_bbox: 0.7186, loss_iou: 1.0849, d0.loss_cls: 1.9412, d0.loss_bbox: 0.7765, d0.loss_iou: 1.1569, d1.loss_cls: 1.9062, d1.loss_bbox: 0.7551, d1.loss_iou: 1.1297, d2.loss_cls: 1.8709, d2.loss_bbox: 0.7373, d2.loss_iou: 1.1059, d3.loss_cls: 1.8470, d3.loss_bbox: 0.7272, d3.loss_iou: 1.0949, d4.loss_cls: 1.8316, d4.loss_bbox: 0.7212, d4.loss_iou: 1.0876, loss: 22.3142, grad_norm: 14.6955 +2022-10-26 22:54:28,908 - mmdet - INFO - Epoch [46][800/1849] lr: 2.000e-05, eta: 0:19:21, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8207, loss_bbox: 0.7167, loss_iou: 1.0819, d0.loss_cls: 1.9490, d0.loss_bbox: 0.7759, d0.loss_iou: 1.1558, d1.loss_cls: 1.9110, d1.loss_bbox: 0.7533, d1.loss_iou: 1.1270, d2.loss_cls: 1.8741, d2.loss_bbox: 0.7359, d2.loss_iou: 1.1025, d3.loss_cls: 1.8508, d3.loss_bbox: 0.7255, d3.loss_iou: 1.0910, d4.loss_cls: 1.8328, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0848, loss: 22.3076, grad_norm: 11.7187 +2022-10-26 22:54:35,793 - mmdet - INFO - Epoch [46][850/1849] lr: 2.000e-05, eta: 0:19:14, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8290, loss_bbox: 0.7231, loss_iou: 1.0886, d0.loss_cls: 1.9545, d0.loss_bbox: 0.7815, d0.loss_iou: 1.1605, d1.loss_cls: 1.9174, d1.loss_bbox: 0.7594, d1.loss_iou: 1.1327, d2.loss_cls: 1.8761, d2.loss_bbox: 0.7417, d2.loss_iou: 1.1091, d3.loss_cls: 1.8548, d3.loss_bbox: 0.7316, d3.loss_iou: 1.0977, d4.loss_cls: 1.8391, d4.loss_bbox: 0.7257, d4.loss_iou: 1.0911, loss: 22.4136, grad_norm: 13.1696 +2022-10-26 22:54:42,778 - mmdet - INFO - Epoch [46][900/1849] lr: 2.000e-05, eta: 0:19:07, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8434, loss_bbox: 0.7196, loss_iou: 1.0862, d0.loss_cls: 1.9725, d0.loss_bbox: 0.7782, d0.loss_iou: 1.1600, d1.loss_cls: 1.9332, d1.loss_bbox: 0.7569, d1.loss_iou: 1.1321, d2.loss_cls: 1.8964, d2.loss_bbox: 0.7392, d2.loss_iou: 1.1074, d3.loss_cls: 1.8701, d3.loss_bbox: 0.7282, d3.loss_iou: 1.0968, d4.loss_cls: 1.8539, d4.loss_bbox: 0.7222, d4.loss_iou: 1.0893, loss: 22.4855, grad_norm: 12.5884 +2022-10-26 22:54:50,001 - mmdet - INFO - Epoch [46][950/1849] lr: 2.000e-05, eta: 0:19:01, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.8206, loss_bbox: 0.7186, loss_iou: 1.0893, d0.loss_cls: 1.9428, d0.loss_bbox: 0.7755, d0.loss_iou: 1.1606, d1.loss_cls: 1.9065, d1.loss_bbox: 0.7553, d1.loss_iou: 1.1327, d2.loss_cls: 1.8718, d2.loss_bbox: 0.7378, d2.loss_iou: 1.1091, d3.loss_cls: 1.8477, d3.loss_bbox: 0.7271, d3.loss_iou: 1.0986, d4.loss_cls: 1.8316, d4.loss_bbox: 0.7215, d4.loss_iou: 1.0924, loss: 22.3397, grad_norm: 11.9512 +2022-10-26 22:54:56,985 - mmdet - INFO - Epoch [46][1000/1849] lr: 2.000e-05, eta: 0:18:54, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8314, loss_bbox: 0.7162, loss_iou: 1.0864, d0.loss_cls: 1.9553, d0.loss_bbox: 0.7745, d0.loss_iou: 1.1598, d1.loss_cls: 1.9171, d1.loss_bbox: 0.7542, d1.loss_iou: 1.1320, d2.loss_cls: 1.8825, d2.loss_bbox: 0.7363, d2.loss_iou: 1.1074, d3.loss_cls: 1.8578, d3.loss_bbox: 0.7250, d3.loss_iou: 1.0962, d4.loss_cls: 1.8412, d4.loss_bbox: 0.7190, d4.loss_iou: 1.0893, loss: 22.3813, grad_norm: 11.3772 +2022-10-26 22:55:03,910 - mmdet - INFO - Epoch [46][1050/1849] lr: 2.000e-05, eta: 0:18:47, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8196, loss_bbox: 0.7125, loss_iou: 1.0754, d0.loss_cls: 1.9420, d0.loss_bbox: 0.7721, d0.loss_iou: 1.1496, d1.loss_cls: 1.9054, d1.loss_bbox: 0.7507, d1.loss_iou: 1.1216, d2.loss_cls: 1.8713, d2.loss_bbox: 0.7326, d2.loss_iou: 1.0970, d3.loss_cls: 1.8462, d3.loss_bbox: 0.7212, d3.loss_iou: 1.0852, d4.loss_cls: 1.8293, d4.loss_bbox: 0.7148, d4.loss_iou: 1.0786, loss: 22.2252, grad_norm: 12.2700 +2022-10-26 22:55:10,750 - mmdet - INFO - Epoch [46][1100/1849] lr: 2.000e-05, eta: 0:18:40, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8178, loss_bbox: 0.7175, loss_iou: 1.0886, d0.loss_cls: 1.9392, d0.loss_bbox: 0.7751, d0.loss_iou: 1.1596, d1.loss_cls: 1.9016, d1.loss_bbox: 0.7544, d1.loss_iou: 1.1327, d2.loss_cls: 1.8669, d2.loss_bbox: 0.7373, d2.loss_iou: 1.1088, d3.loss_cls: 1.8425, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0979, d4.loss_cls: 1.8264, d4.loss_bbox: 0.7203, d4.loss_iou: 1.0914, loss: 22.3042, grad_norm: 14.1261 +2022-10-26 22:55:17,518 - mmdet - INFO - Epoch [46][1150/1849] lr: 2.000e-05, eta: 0:18:33, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8253, loss_bbox: 0.7181, loss_iou: 1.0821, d0.loss_cls: 1.9499, d0.loss_bbox: 0.7776, d0.loss_iou: 1.1564, d1.loss_cls: 1.9112, d1.loss_bbox: 0.7548, d1.loss_iou: 1.1287, d2.loss_cls: 1.8761, d2.loss_bbox: 0.7369, d2.loss_iou: 1.1038, d3.loss_cls: 1.8528, d3.loss_bbox: 0.7264, d3.loss_iou: 1.0919, d4.loss_cls: 1.8361, d4.loss_bbox: 0.7206, d4.loss_iou: 1.0852, loss: 22.3339, grad_norm: 12.6034 +2022-10-26 22:55:24,333 - mmdet - INFO - Epoch [46][1200/1849] lr: 2.000e-05, eta: 0:18:26, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8234, loss_bbox: 0.7151, loss_iou: 1.0827, d0.loss_cls: 1.9461, d0.loss_bbox: 0.7738, d0.loss_iou: 1.1553, d1.loss_cls: 1.9101, d1.loss_bbox: 0.7532, d1.loss_iou: 1.1290, d2.loss_cls: 1.8724, d2.loss_bbox: 0.7346, d2.loss_iou: 1.1036, d3.loss_cls: 1.8492, d3.loss_bbox: 0.7244, d3.loss_iou: 1.0924, d4.loss_cls: 1.8331, d4.loss_bbox: 0.7178, d4.loss_iou: 1.0858, loss: 22.3021, grad_norm: 11.7463 +2022-10-26 22:55:31,163 - mmdet - INFO - Epoch [46][1250/1849] lr: 2.000e-05, eta: 0:18:19, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8246, loss_bbox: 0.7156, loss_iou: 1.0836, d0.loss_cls: 1.9492, d0.loss_bbox: 0.7744, d0.loss_iou: 1.1571, d1.loss_cls: 1.9133, d1.loss_bbox: 0.7527, d1.loss_iou: 1.1287, d2.loss_cls: 1.8746, d2.loss_bbox: 0.7351, d2.loss_iou: 1.1043, d3.loss_cls: 1.8505, d3.loss_bbox: 0.7241, d3.loss_iou: 1.0925, d4.loss_cls: 1.8354, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0866, loss: 22.3200, grad_norm: 13.7685 +2022-10-26 22:55:37,960 - mmdet - INFO - Epoch [46][1300/1849] lr: 2.000e-05, eta: 0:18:12, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8315, loss_bbox: 0.7167, loss_iou: 1.0802, d0.loss_cls: 1.9530, d0.loss_bbox: 0.7761, d0.loss_iou: 1.1540, d1.loss_cls: 1.9174, d1.loss_bbox: 0.7542, d1.loss_iou: 1.1267, d2.loss_cls: 1.8819, d2.loss_bbox: 0.7367, d2.loss_iou: 1.1021, d3.loss_cls: 1.8563, d3.loss_bbox: 0.7256, d3.loss_iou: 1.0902, d4.loss_cls: 1.8418, d4.loss_bbox: 0.7194, d4.loss_iou: 1.0832, loss: 22.3471, grad_norm: 12.0460 +2022-10-26 22:55:44,720 - mmdet - INFO - Epoch [46][1350/1849] lr: 2.000e-05, eta: 0:18:06, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8235, loss_bbox: 0.7146, loss_iou: 1.0820, d0.loss_cls: 1.9497, d0.loss_bbox: 0.7734, d0.loss_iou: 1.1542, d1.loss_cls: 1.9137, d1.loss_bbox: 0.7515, d1.loss_iou: 1.1268, d2.loss_cls: 1.8774, d2.loss_bbox: 0.7342, d2.loss_iou: 1.1022, d3.loss_cls: 1.8552, d3.loss_bbox: 0.7230, d3.loss_iou: 1.0922, d4.loss_cls: 1.8367, d4.loss_bbox: 0.7168, d4.loss_iou: 1.0848, loss: 22.3120, grad_norm: 12.6424 +2022-10-26 22:55:51,481 - mmdet - INFO - Epoch [46][1400/1849] lr: 2.000e-05, eta: 0:17:59, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8360, loss_bbox: 0.7132, loss_iou: 1.0823, d0.loss_cls: 1.9599, d0.loss_bbox: 0.7726, d0.loss_iou: 1.1569, d1.loss_cls: 1.9246, d1.loss_bbox: 0.7502, d1.loss_iou: 1.1275, d2.loss_cls: 1.8875, d2.loss_bbox: 0.7327, d2.loss_iou: 1.1034, d3.loss_cls: 1.8636, d3.loss_bbox: 0.7213, d3.loss_iou: 1.0919, d4.loss_cls: 1.8475, d4.loss_bbox: 0.7148, d4.loss_iou: 1.0850, loss: 22.3708, grad_norm: 11.6069 +2022-10-26 22:55:58,197 - mmdet - INFO - Epoch [46][1450/1849] lr: 2.000e-05, eta: 0:17:52, time: 0.134, data_time: 0.004, memory: 4401, loss_cls: 1.8452, loss_bbox: 0.7187, loss_iou: 1.0874, d0.loss_cls: 1.9679, d0.loss_bbox: 0.7775, d0.loss_iou: 1.1605, d1.loss_cls: 1.9334, d1.loss_bbox: 0.7556, d1.loss_iou: 1.1321, d2.loss_cls: 1.8925, d2.loss_bbox: 0.7383, d2.loss_iou: 1.1080, d3.loss_cls: 1.8703, d3.loss_bbox: 0.7271, d3.loss_iou: 1.0972, d4.loss_cls: 1.8545, d4.loss_bbox: 0.7213, d4.loss_iou: 1.0904, loss: 22.4779, grad_norm: 13.0965 +2022-10-26 22:56:04,988 - mmdet - INFO - Epoch [46][1500/1849] lr: 2.000e-05, eta: 0:17:45, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8239, loss_bbox: 0.7134, loss_iou: 1.0788, d0.loss_cls: 1.9485, d0.loss_bbox: 0.7730, d0.loss_iou: 1.1521, d1.loss_cls: 1.9105, d1.loss_bbox: 0.7509, d1.loss_iou: 1.1236, d2.loss_cls: 1.8757, d2.loss_bbox: 0.7331, d2.loss_iou: 1.0992, d3.loss_cls: 1.8518, d3.loss_bbox: 0.7223, d3.loss_iou: 1.0881, d4.loss_cls: 1.8343, d4.loss_bbox: 0.7159, d4.loss_iou: 1.0817, loss: 22.2768, grad_norm: 12.3508 +2022-10-26 22:56:11,738 - mmdet - INFO - Epoch [46][1550/1849] lr: 2.000e-05, eta: 0:17:38, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8197, loss_bbox: 0.7170, loss_iou: 1.0811, d0.loss_cls: 1.9428, d0.loss_bbox: 0.7758, d0.loss_iou: 1.1550, d1.loss_cls: 1.9062, d1.loss_bbox: 0.7539, d1.loss_iou: 1.1265, d2.loss_cls: 1.8697, d2.loss_bbox: 0.7362, d2.loss_iou: 1.1021, d3.loss_cls: 1.8463, d3.loss_bbox: 0.7258, d3.loss_iou: 1.0903, d4.loss_cls: 1.8305, d4.loss_bbox: 0.7193, d4.loss_iou: 1.0843, loss: 22.2823, grad_norm: 11.8216 +2022-10-26 22:56:18,601 - mmdet - INFO - Epoch [46][1600/1849] lr: 2.000e-05, eta: 0:17:31, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8233, loss_bbox: 0.7155, loss_iou: 1.0814, d0.loss_cls: 1.9478, d0.loss_bbox: 0.7742, d0.loss_iou: 1.1548, d1.loss_cls: 1.9147, d1.loss_bbox: 0.7526, d1.loss_iou: 1.1257, d2.loss_cls: 1.8769, d2.loss_bbox: 0.7346, d2.loss_iou: 1.1016, d3.loss_cls: 1.8516, d3.loss_bbox: 0.7243, d3.loss_iou: 1.0914, d4.loss_cls: 1.8355, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0847, loss: 22.3086, grad_norm: 12.3000 +2022-10-26 22:56:25,598 - mmdet - INFO - Epoch [46][1650/1849] lr: 2.000e-05, eta: 0:17:24, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8232, loss_bbox: 0.7171, loss_iou: 1.0795, d0.loss_cls: 1.9460, d0.loss_bbox: 0.7766, d0.loss_iou: 1.1525, d1.loss_cls: 1.9115, d1.loss_bbox: 0.7548, d1.loss_iou: 1.1239, d2.loss_cls: 1.8735, d2.loss_bbox: 0.7370, d2.loss_iou: 1.1003, d3.loss_cls: 1.8501, d3.loss_bbox: 0.7256, d3.loss_iou: 1.0895, d4.loss_cls: 1.8343, d4.loss_bbox: 0.7191, d4.loss_iou: 1.0826, loss: 22.2972, grad_norm: 11.9403 +2022-10-26 22:56:32,675 - mmdet - INFO - Epoch [46][1700/1849] lr: 2.000e-05, eta: 0:17:17, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8347, loss_bbox: 0.7171, loss_iou: 1.0803, d0.loss_cls: 1.9584, d0.loss_bbox: 0.7750, d0.loss_iou: 1.1533, d1.loss_cls: 1.9223, d1.loss_bbox: 0.7540, d1.loss_iou: 1.1263, d2.loss_cls: 1.8851, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1021, d3.loss_cls: 1.8597, d3.loss_bbox: 0.7260, d3.loss_iou: 1.0902, d4.loss_cls: 1.8432, d4.loss_bbox: 0.7197, d4.loss_iou: 1.0833, loss: 22.3668, grad_norm: 12.2026 +2022-10-26 22:56:39,788 - mmdet - INFO - Epoch [46][1750/1849] lr: 2.000e-05, eta: 0:17:11, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8307, loss_bbox: 0.7182, loss_iou: 1.0835, d0.loss_cls: 1.9561, d0.loss_bbox: 0.7764, d0.loss_iou: 1.1564, d1.loss_cls: 1.9176, d1.loss_bbox: 0.7550, d1.loss_iou: 1.1288, d2.loss_cls: 1.8823, d2.loss_bbox: 0.7368, d2.loss_iou: 1.1056, d3.loss_cls: 1.8584, d3.loss_bbox: 0.7259, d3.loss_iou: 1.0937, d4.loss_cls: 1.8434, d4.loss_bbox: 0.7199, d4.loss_iou: 1.0867, loss: 22.3753, grad_norm: 12.1142 +2022-10-26 22:56:46,693 - mmdet - INFO - Epoch [46][1800/1849] lr: 2.000e-05, eta: 0:17:04, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8262, loss_bbox: 0.7182, loss_iou: 1.0860, d0.loss_cls: 1.9477, d0.loss_bbox: 0.7772, d0.loss_iou: 1.1603, d1.loss_cls: 1.9107, d1.loss_bbox: 0.7547, d1.loss_iou: 1.1311, d2.loss_cls: 1.8769, d2.loss_bbox: 0.7371, d2.loss_iou: 1.1066, d3.loss_cls: 1.8525, d3.loss_bbox: 0.7267, d3.loss_iou: 1.0958, d4.loss_cls: 1.8359, d4.loss_bbox: 0.7204, d4.loss_iou: 1.0893, loss: 22.3533, grad_norm: 13.3535 +2022-10-26 22:56:53,554 - mmdet - INFO - Saving checkpoint at 46 epochs +2022-10-26 22:57:04,426 - mmdet - INFO - Epoch [47][50/1849] lr: 2.000e-05, eta: 0:16:50, time: 0.205, data_time: 0.065, memory: 4401, loss_cls: 1.8210, loss_bbox: 0.7166, loss_iou: 1.0881, d0.loss_cls: 1.9437, d0.loss_bbox: 0.7761, d0.loss_iou: 1.1619, d1.loss_cls: 1.9070, d1.loss_bbox: 0.7539, d1.loss_iou: 1.1342, d2.loss_cls: 1.8701, d2.loss_bbox: 0.7360, d2.loss_iou: 1.1091, d3.loss_cls: 1.8484, d3.loss_bbox: 0.7255, d3.loss_iou: 1.0975, d4.loss_cls: 1.8314, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0913, loss: 22.3307, grad_norm: 12.4987 +2022-10-26 22:57:11,711 - mmdet - INFO - Epoch [47][100/1849] lr: 2.000e-05, eta: 0:16:43, time: 0.146, data_time: 0.005, memory: 4401, loss_cls: 1.8152, loss_bbox: 0.7114, loss_iou: 1.0790, d0.loss_cls: 1.9434, d0.loss_bbox: 0.7700, d0.loss_iou: 1.1532, d1.loss_cls: 1.9059, d1.loss_bbox: 0.7482, d1.loss_iou: 1.1244, d2.loss_cls: 1.8679, d2.loss_bbox: 0.7302, d2.loss_iou: 1.1000, d3.loss_cls: 1.8450, d3.loss_bbox: 0.7198, d3.loss_iou: 1.0884, d4.loss_cls: 1.8264, d4.loss_bbox: 0.7133, d4.loss_iou: 1.0820, loss: 22.2236, grad_norm: 13.0558 +2022-10-26 22:57:18,790 - mmdet - INFO - Epoch [47][150/1849] lr: 2.000e-05, eta: 0:16:36, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8215, loss_bbox: 0.7149, loss_iou: 1.0817, d0.loss_cls: 1.9467, d0.loss_bbox: 0.7730, d0.loss_iou: 1.1548, d1.loss_cls: 1.9084, d1.loss_bbox: 0.7522, d1.loss_iou: 1.1273, d2.loss_cls: 1.8709, d2.loss_bbox: 0.7342, d2.loss_iou: 1.1036, d3.loss_cls: 1.8474, d3.loss_bbox: 0.7235, d3.loss_iou: 1.0910, d4.loss_cls: 1.8321, d4.loss_bbox: 0.7170, d4.loss_iou: 1.0847, loss: 22.2850, grad_norm: 12.2995 +2022-10-26 22:57:25,714 - mmdet - INFO - Epoch [47][200/1849] lr: 2.000e-05, eta: 0:16:29, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8278, loss_bbox: 0.7174, loss_iou: 1.0850, d0.loss_cls: 1.9506, d0.loss_bbox: 0.7766, d0.loss_iou: 1.1575, d1.loss_cls: 1.9160, d1.loss_bbox: 0.7552, d1.loss_iou: 1.1304, d2.loss_cls: 1.8767, d2.loss_bbox: 0.7369, d2.loss_iou: 1.1066, d3.loss_cls: 1.8543, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0950, d4.loss_cls: 1.8382, d4.loss_bbox: 0.7200, d4.loss_iou: 1.0880, loss: 22.3586, grad_norm: 12.6217 +2022-10-26 22:57:32,740 - mmdet - INFO - Epoch [47][250/1849] lr: 2.000e-05, eta: 0:16:22, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8331, loss_bbox: 0.7195, loss_iou: 1.0857, d0.loss_cls: 1.9602, d0.loss_bbox: 0.7784, d0.loss_iou: 1.1605, d1.loss_cls: 1.9218, d1.loss_bbox: 0.7560, d1.loss_iou: 1.1323, d2.loss_cls: 1.8847, d2.loss_bbox: 0.7383, d2.loss_iou: 1.1075, d3.loss_cls: 1.8613, d3.loss_bbox: 0.7278, d3.loss_iou: 1.0957, d4.loss_cls: 1.8444, d4.loss_bbox: 0.7214, d4.loss_iou: 1.0891, loss: 22.4178, grad_norm: 11.8475 +2022-10-26 22:57:39,746 - mmdet - INFO - Epoch [47][300/1849] lr: 2.000e-05, eta: 0:16:15, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8368, loss_bbox: 0.7181, loss_iou: 1.0849, d0.loss_cls: 1.9566, d0.loss_bbox: 0.7776, d0.loss_iou: 1.1578, d1.loss_cls: 1.9222, d1.loss_bbox: 0.7551, d1.loss_iou: 1.1286, d2.loss_cls: 1.8859, d2.loss_bbox: 0.7368, d2.loss_iou: 1.1046, d3.loss_cls: 1.8624, d3.loss_bbox: 0.7259, d3.loss_iou: 1.0942, d4.loss_cls: 1.8470, d4.loss_bbox: 0.7203, d4.loss_iou: 1.0879, loss: 22.4029, grad_norm: 12.6216 +2022-10-26 22:57:46,520 - mmdet - INFO - Epoch [47][350/1849] lr: 2.000e-05, eta: 0:16:09, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8095, loss_bbox: 0.7169, loss_iou: 1.0818, d0.loss_cls: 1.9297, d0.loss_bbox: 0.7764, d0.loss_iou: 1.1544, d1.loss_cls: 1.8966, d1.loss_bbox: 0.7545, d1.loss_iou: 1.1264, d2.loss_cls: 1.8599, d2.loss_bbox: 0.7369, d2.loss_iou: 1.1023, d3.loss_cls: 1.8341, d3.loss_bbox: 0.7250, d3.loss_iou: 1.0916, d4.loss_cls: 1.8194, d4.loss_bbox: 0.7197, d4.loss_iou: 1.0844, loss: 22.2196, grad_norm: 13.5139 +2022-10-26 22:57:53,468 - mmdet - INFO - Epoch [47][400/1849] lr: 2.000e-05, eta: 0:16:02, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8207, loss_bbox: 0.7188, loss_iou: 1.0858, d0.loss_cls: 1.9469, d0.loss_bbox: 0.7759, d0.loss_iou: 1.1579, d1.loss_cls: 1.9100, d1.loss_bbox: 0.7554, d1.loss_iou: 1.1301, d2.loss_cls: 1.8727, d2.loss_bbox: 0.7384, d2.loss_iou: 1.1067, d3.loss_cls: 1.8487, d3.loss_bbox: 0.7274, d3.loss_iou: 1.0955, d4.loss_cls: 1.8323, d4.loss_bbox: 0.7211, d4.loss_iou: 1.0890, loss: 22.3332, grad_norm: 12.7210 +2022-10-26 22:58:00,318 - mmdet - INFO - Epoch [47][450/1849] lr: 2.000e-05, eta: 0:15:55, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8237, loss_bbox: 0.7177, loss_iou: 1.0840, d0.loss_cls: 1.9521, d0.loss_bbox: 0.7782, d0.loss_iou: 1.1587, d1.loss_cls: 1.9106, d1.loss_bbox: 0.7562, d1.loss_iou: 1.1301, d2.loss_cls: 1.8723, d2.loss_bbox: 0.7377, d2.loss_iou: 1.1051, d3.loss_cls: 1.8499, d3.loss_bbox: 0.7262, d3.loss_iou: 1.0939, d4.loss_cls: 1.8335, d4.loss_bbox: 0.7199, d4.loss_iou: 1.0869, loss: 22.3365, grad_norm: 11.7129 +2022-10-26 22:58:07,251 - mmdet - INFO - Epoch [47][500/1849] lr: 2.000e-05, eta: 0:15:48, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8250, loss_bbox: 0.7110, loss_iou: 1.0782, d0.loss_cls: 1.9500, d0.loss_bbox: 0.7703, d0.loss_iou: 1.1517, d1.loss_cls: 1.9126, d1.loss_bbox: 0.7484, d1.loss_iou: 1.1239, d2.loss_cls: 1.8754, d2.loss_bbox: 0.7308, d2.loss_iou: 1.0994, d3.loss_cls: 1.8503, d3.loss_bbox: 0.7198, d3.loss_iou: 1.0881, d4.loss_cls: 1.8347, d4.loss_bbox: 0.7135, d4.loss_iou: 1.0810, loss: 22.2643, grad_norm: 12.3913 +2022-10-26 22:58:14,192 - mmdet - INFO - Epoch [47][550/1849] lr: 2.000e-05, eta: 0:15:41, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8161, loss_bbox: 0.7179, loss_iou: 1.0836, d0.loss_cls: 1.9396, d0.loss_bbox: 0.7754, d0.loss_iou: 1.1573, d1.loss_cls: 1.9016, d1.loss_bbox: 0.7546, d1.loss_iou: 1.1286, d2.loss_cls: 1.8654, d2.loss_bbox: 0.7374, d2.loss_iou: 1.1051, d3.loss_cls: 1.8402, d3.loss_bbox: 0.7265, d3.loss_iou: 1.0937, d4.loss_cls: 1.8249, d4.loss_bbox: 0.7205, d4.loss_iou: 1.0865, loss: 22.2751, grad_norm: 12.4810 +2022-10-26 22:58:21,155 - mmdet - INFO - Epoch [47][600/1849] lr: 2.000e-05, eta: 0:15:34, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8278, loss_bbox: 0.7147, loss_iou: 1.0822, d0.loss_cls: 1.9554, d0.loss_bbox: 0.7746, d0.loss_iou: 1.1564, d1.loss_cls: 1.9168, d1.loss_bbox: 0.7525, d1.loss_iou: 1.1283, d2.loss_cls: 1.8827, d2.loss_bbox: 0.7352, d2.loss_iou: 1.1035, d3.loss_cls: 1.8573, d3.loss_bbox: 0.7239, d3.loss_iou: 1.0919, d4.loss_cls: 1.8404, d4.loss_bbox: 0.7175, d4.loss_iou: 1.0851, loss: 22.3463, grad_norm: 12.2896 +2022-10-26 22:58:28,235 - mmdet - INFO - Epoch [47][650/1849] lr: 2.000e-05, eta: 0:15:27, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8178, loss_bbox: 0.7172, loss_iou: 1.0825, d0.loss_cls: 1.9430, d0.loss_bbox: 0.7762, d0.loss_iou: 1.1560, d1.loss_cls: 1.9047, d1.loss_bbox: 0.7558, d1.loss_iou: 1.1287, d2.loss_cls: 1.8670, d2.loss_bbox: 0.7383, d2.loss_iou: 1.1039, d3.loss_cls: 1.8430, d3.loss_bbox: 0.7264, d3.loss_iou: 1.0928, d4.loss_cls: 1.8269, d4.loss_bbox: 0.7201, d4.loss_iou: 1.0856, loss: 22.2858, grad_norm: 12.2837 +2022-10-26 22:58:35,361 - mmdet - INFO - Epoch [47][700/1849] lr: 2.000e-05, eta: 0:15:20, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8231, loss_bbox: 0.7146, loss_iou: 1.0805, d0.loss_cls: 1.9503, d0.loss_bbox: 0.7722, d0.loss_iou: 1.1535, d1.loss_cls: 1.9119, d1.loss_bbox: 0.7513, d1.loss_iou: 1.1250, d2.loss_cls: 1.8735, d2.loss_bbox: 0.7338, d2.loss_iou: 1.1009, d3.loss_cls: 1.8494, d3.loss_bbox: 0.7233, d3.loss_iou: 1.0894, d4.loss_cls: 1.8321, d4.loss_bbox: 0.7171, d4.loss_iou: 1.0836, loss: 22.2855, grad_norm: 12.1729 +2022-10-26 22:58:42,215 - mmdet - INFO - Epoch [47][750/1849] lr: 2.000e-05, eta: 0:15:14, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8175, loss_bbox: 0.7155, loss_iou: 1.0848, d0.loss_cls: 1.9436, d0.loss_bbox: 0.7748, d0.loss_iou: 1.1596, d1.loss_cls: 1.9063, d1.loss_bbox: 0.7533, d1.loss_iou: 1.1306, d2.loss_cls: 1.8709, d2.loss_bbox: 0.7350, d2.loss_iou: 1.1063, d3.loss_cls: 1.8466, d3.loss_bbox: 0.7244, d3.loss_iou: 1.0945, d4.loss_cls: 1.8305, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0876, loss: 22.2998, grad_norm: 12.2655 +2022-10-26 22:58:49,045 - mmdet - INFO - Epoch [47][800/1849] lr: 2.000e-05, eta: 0:15:07, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8323, loss_bbox: 0.7148, loss_iou: 1.0827, d0.loss_cls: 1.9541, d0.loss_bbox: 0.7743, d0.loss_iou: 1.1577, d1.loss_cls: 1.9198, d1.loss_bbox: 0.7519, d1.loss_iou: 1.1278, d2.loss_cls: 1.8832, d2.loss_bbox: 0.7345, d2.loss_iou: 1.1039, d3.loss_cls: 1.8589, d3.loss_bbox: 0.7239, d3.loss_iou: 1.0926, d4.loss_cls: 1.8414, d4.loss_bbox: 0.7175, d4.loss_iou: 1.0857, loss: 22.3569, grad_norm: 11.5474 +2022-10-26 22:58:55,936 - mmdet - INFO - Epoch [47][850/1849] lr: 2.000e-05, eta: 0:15:00, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8224, loss_bbox: 0.7151, loss_iou: 1.0774, d0.loss_cls: 1.9480, d0.loss_bbox: 0.7743, d0.loss_iou: 1.1505, d1.loss_cls: 1.9082, d1.loss_bbox: 0.7514, d1.loss_iou: 1.1208, d2.loss_cls: 1.8723, d2.loss_bbox: 0.7342, d2.loss_iou: 1.0971, d3.loss_cls: 1.8484, d3.loss_bbox: 0.7238, d3.loss_iou: 1.0866, d4.loss_cls: 1.8340, d4.loss_bbox: 0.7175, d4.loss_iou: 1.0803, loss: 22.2626, grad_norm: 12.2372 +2022-10-26 22:59:02,968 - mmdet - INFO - Epoch [47][900/1849] lr: 2.000e-05, eta: 0:14:53, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8181, loss_bbox: 0.7143, loss_iou: 1.0800, d0.loss_cls: 1.9432, d0.loss_bbox: 0.7747, d0.loss_iou: 1.1537, d1.loss_cls: 1.9060, d1.loss_bbox: 0.7513, d1.loss_iou: 1.1257, d2.loss_cls: 1.8692, d2.loss_bbox: 0.7340, d2.loss_iou: 1.1019, d3.loss_cls: 1.8447, d3.loss_bbox: 0.7234, d3.loss_iou: 1.0898, d4.loss_cls: 1.8293, d4.loss_bbox: 0.7163, d4.loss_iou: 1.0834, loss: 22.2590, grad_norm: 13.4939 +2022-10-26 22:59:09,806 - mmdet - INFO - Epoch [47][950/1849] lr: 2.000e-05, eta: 0:14:46, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8211, loss_bbox: 0.7155, loss_iou: 1.0835, d0.loss_cls: 1.9430, d0.loss_bbox: 0.7733, d0.loss_iou: 1.1577, d1.loss_cls: 1.9075, d1.loss_bbox: 0.7517, d1.loss_iou: 1.1287, d2.loss_cls: 1.8706, d2.loss_bbox: 0.7342, d2.loss_iou: 1.1052, d3.loss_cls: 1.8467, d3.loss_bbox: 0.7239, d3.loss_iou: 1.0932, d4.loss_cls: 1.8311, d4.loss_bbox: 0.7178, d4.loss_iou: 1.0866, loss: 22.2912, grad_norm: 13.0775 +2022-10-26 22:59:16,789 - mmdet - INFO - Epoch [47][1000/1849] lr: 2.000e-05, eta: 0:14:39, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8336, loss_bbox: 0.7196, loss_iou: 1.0837, d0.loss_cls: 1.9573, d0.loss_bbox: 0.7777, d0.loss_iou: 1.1576, d1.loss_cls: 1.9210, d1.loss_bbox: 0.7571, d1.loss_iou: 1.1294, d2.loss_cls: 1.8844, d2.loss_bbox: 0.7397, d2.loss_iou: 1.1054, d3.loss_cls: 1.8615, d3.loss_bbox: 0.7288, d3.loss_iou: 1.0943, d4.loss_cls: 1.8436, d4.loss_bbox: 0.7223, d4.loss_iou: 1.0875, loss: 22.4047, grad_norm: 14.1538 +2022-10-26 22:59:23,676 - mmdet - INFO - Epoch [47][1050/1849] lr: 2.000e-05, eta: 0:14:32, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8351, loss_bbox: 0.7212, loss_iou: 1.0870, d0.loss_cls: 1.9622, d0.loss_bbox: 0.7791, d0.loss_iou: 1.1585, d1.loss_cls: 1.9231, d1.loss_bbox: 0.7575, d1.loss_iou: 1.1313, d2.loss_cls: 1.8892, d2.loss_bbox: 0.7406, d2.loss_iou: 1.1078, d3.loss_cls: 1.8632, d3.loss_bbox: 0.7301, d3.loss_iou: 1.0960, d4.loss_cls: 1.8458, d4.loss_bbox: 0.7235, d4.loss_iou: 1.0900, loss: 22.4413, grad_norm: 12.7547 +2022-10-26 22:59:30,744 - mmdet - INFO - Epoch [47][1100/1849] lr: 2.000e-05, eta: 0:14:25, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8407, loss_bbox: 0.7137, loss_iou: 1.0775, d0.loss_cls: 1.9616, d0.loss_bbox: 0.7726, d0.loss_iou: 1.1502, d1.loss_cls: 1.9242, d1.loss_bbox: 0.7509, d1.loss_iou: 1.1216, d2.loss_cls: 1.8879, d2.loss_bbox: 0.7334, d2.loss_iou: 1.0981, d3.loss_cls: 1.8642, d3.loss_bbox: 0.7218, d3.loss_iou: 1.0872, d4.loss_cls: 1.8494, d4.loss_bbox: 0.7161, d4.loss_iou: 1.0803, loss: 22.3515, grad_norm: 12.0183 +2022-10-26 22:59:37,677 - mmdet - INFO - Epoch [47][1150/1849] lr: 2.000e-05, eta: 0:14:19, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8102, loss_bbox: 0.7139, loss_iou: 1.0816, d0.loss_cls: 1.9306, d0.loss_bbox: 0.7729, d0.loss_iou: 1.1545, d1.loss_cls: 1.8947, d1.loss_bbox: 0.7515, d1.loss_iou: 1.1273, d2.loss_cls: 1.8599, d2.loss_bbox: 0.7331, d2.loss_iou: 1.1024, d3.loss_cls: 1.8360, d3.loss_bbox: 0.7222, d3.loss_iou: 1.0918, d4.loss_cls: 1.8202, d4.loss_bbox: 0.7166, d4.loss_iou: 1.0849, loss: 22.2044, grad_norm: 11.9178 +2022-10-26 22:59:44,655 - mmdet - INFO - Epoch [47][1200/1849] lr: 2.000e-05, eta: 0:14:12, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8216, loss_bbox: 0.7177, loss_iou: 1.0874, d0.loss_cls: 1.9433, d0.loss_bbox: 0.7755, d0.loss_iou: 1.1597, d1.loss_cls: 1.9067, d1.loss_bbox: 0.7549, d1.loss_iou: 1.1319, d2.loss_cls: 1.8721, d2.loss_bbox: 0.7376, d2.loss_iou: 1.1085, d3.loss_cls: 1.8479, d3.loss_bbox: 0.7264, d3.loss_iou: 1.0973, d4.loss_cls: 1.8315, d4.loss_bbox: 0.7204, d4.loss_iou: 1.0907, loss: 22.3311, grad_norm: 11.8961 +2022-10-26 22:59:51,578 - mmdet - INFO - Epoch [47][1250/1849] lr: 2.000e-05, eta: 0:14:05, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8236, loss_bbox: 0.7156, loss_iou: 1.0843, d0.loss_cls: 1.9456, d0.loss_bbox: 0.7747, d0.loss_iou: 1.1584, d1.loss_cls: 1.9083, d1.loss_bbox: 0.7527, d1.loss_iou: 1.1295, d2.loss_cls: 1.8711, d2.loss_bbox: 0.7348, d2.loss_iou: 1.1061, d3.loss_cls: 1.8510, d3.loss_bbox: 0.7241, d3.loss_iou: 1.0939, d4.loss_cls: 1.8328, d4.loss_bbox: 0.7179, d4.loss_iou: 1.0872, loss: 22.3117, grad_norm: 12.3312 +2022-10-26 22:59:58,795 - mmdet - INFO - Epoch [47][1300/1849] lr: 2.000e-05, eta: 0:13:58, time: 0.144, data_time: 0.004, memory: 4401, loss_cls: 1.8141, loss_bbox: 0.7154, loss_iou: 1.0781, d0.loss_cls: 1.9333, d0.loss_bbox: 0.7734, d0.loss_iou: 1.1491, d1.loss_cls: 1.8968, d1.loss_bbox: 0.7522, d1.loss_iou: 1.1235, d2.loss_cls: 1.8631, d2.loss_bbox: 0.7339, d2.loss_iou: 1.0988, d3.loss_cls: 1.8400, d3.loss_bbox: 0.7233, d3.loss_iou: 1.0875, d4.loss_cls: 1.8242, d4.loss_bbox: 0.7179, d4.loss_iou: 1.0813, loss: 22.2057, grad_norm: 12.2431 +2022-10-26 23:00:06,023 - mmdet - INFO - Epoch [47][1350/1849] lr: 2.000e-05, eta: 0:13:51, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.8476, loss_bbox: 0.7156, loss_iou: 1.0798, d0.loss_cls: 1.9718, d0.loss_bbox: 0.7764, d0.loss_iou: 1.1542, d1.loss_cls: 1.9339, d1.loss_bbox: 0.7534, d1.loss_iou: 1.1260, d2.loss_cls: 1.8974, d2.loss_bbox: 0.7352, d2.loss_iou: 1.1010, d3.loss_cls: 1.8736, d3.loss_bbox: 0.7242, d3.loss_iou: 1.0900, d4.loss_cls: 1.8574, d4.loss_bbox: 0.7178, d4.loss_iou: 1.0831, loss: 22.4384, grad_norm: 12.3687 +2022-10-26 23:00:13,186 - mmdet - INFO - Epoch [47][1400/1849] lr: 2.000e-05, eta: 0:13:44, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.8224, loss_bbox: 0.7143, loss_iou: 1.0831, d0.loss_cls: 1.9476, d0.loss_bbox: 0.7728, d0.loss_iou: 1.1557, d1.loss_cls: 1.9069, d1.loss_bbox: 0.7507, d1.loss_iou: 1.1287, d2.loss_cls: 1.8711, d2.loss_bbox: 0.7337, d2.loss_iou: 1.1046, d3.loss_cls: 1.8493, d3.loss_bbox: 0.7227, d3.loss_iou: 1.0933, d4.loss_cls: 1.8329, d4.loss_bbox: 0.7166, d4.loss_iou: 1.0859, loss: 22.2924, grad_norm: 11.5104 +2022-10-26 23:00:20,281 - mmdet - INFO - Epoch [47][1450/1849] lr: 2.000e-05, eta: 0:13:37, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8214, loss_bbox: 0.7208, loss_iou: 1.0858, d0.loss_cls: 1.9422, d0.loss_bbox: 0.7793, d0.loss_iou: 1.1584, d1.loss_cls: 1.9069, d1.loss_bbox: 0.7576, d1.loss_iou: 1.1291, d2.loss_cls: 1.8691, d2.loss_bbox: 0.7397, d2.loss_iou: 1.1065, d3.loss_cls: 1.8474, d3.loss_bbox: 0.7294, d3.loss_iou: 1.0956, d4.loss_cls: 1.8317, d4.loss_bbox: 0.7228, d4.loss_iou: 1.0889, loss: 22.3327, grad_norm: 11.1641 +2022-10-26 23:00:27,297 - mmdet - INFO - Epoch [47][1500/1849] lr: 2.000e-05, eta: 0:13:31, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8061, loss_bbox: 0.7154, loss_iou: 1.0875, d0.loss_cls: 1.9298, d0.loss_bbox: 0.7736, d0.loss_iou: 1.1617, d1.loss_cls: 1.8929, d1.loss_bbox: 0.7512, d1.loss_iou: 1.1324, d2.loss_cls: 1.8560, d2.loss_bbox: 0.7334, d2.loss_iou: 1.1084, d3.loss_cls: 1.8326, d3.loss_bbox: 0.7238, d3.loss_iou: 1.0976, d4.loss_cls: 1.8176, d4.loss_bbox: 0.7178, d4.loss_iou: 1.0907, loss: 22.2284, grad_norm: 12.1953 +2022-10-26 23:00:34,404 - mmdet - INFO - Epoch [47][1550/1849] lr: 2.000e-05, eta: 0:13:24, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8180, loss_bbox: 0.7161, loss_iou: 1.0804, d0.loss_cls: 1.9448, d0.loss_bbox: 0.7759, d0.loss_iou: 1.1545, d1.loss_cls: 1.9085, d1.loss_bbox: 0.7536, d1.loss_iou: 1.1261, d2.loss_cls: 1.8721, d2.loss_bbox: 0.7362, d2.loss_iou: 1.1019, d3.loss_cls: 1.8451, d3.loss_bbox: 0.7247, d3.loss_iou: 1.0905, d4.loss_cls: 1.8289, d4.loss_bbox: 0.7187, d4.loss_iou: 1.0836, loss: 22.2796, grad_norm: 12.8640 +2022-10-26 23:00:41,714 - mmdet - INFO - Epoch [47][1600/1849] lr: 2.000e-05, eta: 0:13:17, time: 0.146, data_time: 0.004, memory: 4401, loss_cls: 1.8237, loss_bbox: 0.7171, loss_iou: 1.0852, d0.loss_cls: 1.9467, d0.loss_bbox: 0.7773, d0.loss_iou: 1.1596, d1.loss_cls: 1.9118, d1.loss_bbox: 0.7539, d1.loss_iou: 1.1297, d2.loss_cls: 1.8764, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1058, d3.loss_cls: 1.8535, d3.loss_bbox: 0.7256, d3.loss_iou: 1.0949, d4.loss_cls: 1.8347, d4.loss_bbox: 0.7196, d4.loss_iou: 1.0883, loss: 22.3400, grad_norm: 12.3214 +2022-10-26 23:00:48,820 - mmdet - INFO - Epoch [47][1650/1849] lr: 2.000e-05, eta: 0:13:10, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8152, loss_bbox: 0.7125, loss_iou: 1.0795, d0.loss_cls: 1.9410, d0.loss_bbox: 0.7710, d0.loss_iou: 1.1541, d1.loss_cls: 1.9027, d1.loss_bbox: 0.7502, d1.loss_iou: 1.1267, d2.loss_cls: 1.8659, d2.loss_bbox: 0.7324, d2.loss_iou: 1.1013, d3.loss_cls: 1.8402, d3.loss_bbox: 0.7213, d3.loss_iou: 1.0895, d4.loss_cls: 1.8243, d4.loss_bbox: 0.7150, d4.loss_iou: 1.0832, loss: 22.2261, grad_norm: 12.3460 +2022-10-26 23:00:56,008 - mmdet - INFO - Epoch [47][1700/1849] lr: 2.000e-05, eta: 0:13:03, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.8282, loss_bbox: 0.7157, loss_iou: 1.0787, d0.loss_cls: 1.9518, d0.loss_bbox: 0.7749, d0.loss_iou: 1.1499, d1.loss_cls: 1.9135, d1.loss_bbox: 0.7541, d1.loss_iou: 1.1231, d2.loss_cls: 1.8776, d2.loss_bbox: 0.7359, d2.loss_iou: 1.0997, d3.loss_cls: 1.8538, d3.loss_bbox: 0.7246, d3.loss_iou: 1.0881, d4.loss_cls: 1.8377, d4.loss_bbox: 0.7184, d4.loss_iou: 1.0819, loss: 22.3074, grad_norm: 13.0345 +2022-10-26 23:01:03,139 - mmdet - INFO - Epoch [47][1750/1849] lr: 2.000e-05, eta: 0:12:56, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8205, loss_bbox: 0.7137, loss_iou: 1.0794, d0.loss_cls: 1.9405, d0.loss_bbox: 0.7737, d0.loss_iou: 1.1528, d1.loss_cls: 1.9062, d1.loss_bbox: 0.7511, d1.loss_iou: 1.1241, d2.loss_cls: 1.8708, d2.loss_bbox: 0.7337, d2.loss_iou: 1.0999, d3.loss_cls: 1.8473, d3.loss_bbox: 0.7227, d3.loss_iou: 1.0881, d4.loss_cls: 1.8307, d4.loss_bbox: 0.7159, d4.loss_iou: 1.0816, loss: 22.2527, grad_norm: 12.6964 +2022-10-26 23:01:10,166 - mmdet - INFO - Epoch [47][1800/1849] lr: 2.000e-05, eta: 0:12:49, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8121, loss_bbox: 0.7138, loss_iou: 1.0804, d0.loss_cls: 1.9314, d0.loss_bbox: 0.7729, d0.loss_iou: 1.1538, d1.loss_cls: 1.8997, d1.loss_bbox: 0.7512, d1.loss_iou: 1.1268, d2.loss_cls: 1.8638, d2.loss_bbox: 0.7333, d2.loss_iou: 1.1017, d3.loss_cls: 1.8378, d3.loss_bbox: 0.7222, d3.loss_iou: 1.0906, d4.loss_cls: 1.8219, d4.loss_bbox: 0.7158, d4.loss_iou: 1.0834, loss: 22.2125, grad_norm: 11.8855 +2022-10-26 23:01:17,209 - mmdet - INFO - Saving checkpoint at 47 epochs +2022-10-26 23:01:27,882 - mmdet - INFO - Epoch [48][50/1849] lr: 2.000e-05, eta: 0:12:36, time: 0.201, data_time: 0.064, memory: 4401, loss_cls: 1.8260, loss_bbox: 0.7170, loss_iou: 1.0872, d0.loss_cls: 1.9497, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1617, d1.loss_cls: 1.9107, d1.loss_bbox: 0.7545, d1.loss_iou: 1.1322, d2.loss_cls: 1.8762, d2.loss_bbox: 0.7369, d2.loss_iou: 1.1082, d3.loss_cls: 1.8535, d3.loss_bbox: 0.7258, d3.loss_iou: 1.0967, d4.loss_cls: 1.8370, d4.loss_bbox: 0.7193, d4.loss_iou: 1.0904, loss: 22.3586, grad_norm: 12.0594 +2022-10-26 23:01:34,957 - mmdet - INFO - Epoch [48][100/1849] lr: 2.000e-05, eta: 0:12:29, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8252, loss_bbox: 0.7181, loss_iou: 1.0855, d0.loss_cls: 1.9459, d0.loss_bbox: 0.7777, d0.loss_iou: 1.1589, d1.loss_cls: 1.9140, d1.loss_bbox: 0.7550, d1.loss_iou: 1.1304, d2.loss_cls: 1.8761, d2.loss_bbox: 0.7377, d2.loss_iou: 1.1065, d3.loss_cls: 1.8524, d3.loss_bbox: 0.7268, d3.loss_iou: 1.0950, d4.loss_cls: 1.8344, d4.loss_bbox: 0.7205, d4.loss_iou: 1.0884, loss: 22.3487, grad_norm: 12.0900 +2022-10-26 23:01:41,870 - mmdet - INFO - Epoch [48][150/1849] lr: 2.000e-05, eta: 0:12:22, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8057, loss_bbox: 0.7190, loss_iou: 1.0827, d0.loss_cls: 1.9307, d0.loss_bbox: 0.7766, d0.loss_iou: 1.1558, d1.loss_cls: 1.8915, d1.loss_bbox: 0.7555, d1.loss_iou: 1.1269, d2.loss_cls: 1.8554, d2.loss_bbox: 0.7379, d2.loss_iou: 1.1036, d3.loss_cls: 1.8337, d3.loss_bbox: 0.7274, d3.loss_iou: 1.0922, d4.loss_cls: 1.8155, d4.loss_bbox: 0.7212, d4.loss_iou: 1.0860, loss: 22.2173, grad_norm: 12.4670 +2022-10-26 23:01:48,980 - mmdet - INFO - Epoch [48][200/1849] lr: 2.000e-05, eta: 0:12:15, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8215, loss_bbox: 0.7148, loss_iou: 1.0816, d0.loss_cls: 1.9480, d0.loss_bbox: 0.7736, d0.loss_iou: 1.1551, d1.loss_cls: 1.9070, d1.loss_bbox: 0.7522, d1.loss_iou: 1.1264, d2.loss_cls: 1.8718, d2.loss_bbox: 0.7344, d2.loss_iou: 1.1022, d3.loss_cls: 1.8485, d3.loss_bbox: 0.7235, d3.loss_iou: 1.0912, d4.loss_cls: 1.8307, d4.loss_bbox: 0.7173, d4.loss_iou: 1.0844, loss: 22.2841, grad_norm: 12.7342 +2022-10-26 23:01:55,842 - mmdet - INFO - Epoch [48][250/1849] lr: 2.000e-05, eta: 0:12:08, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8180, loss_bbox: 0.7102, loss_iou: 1.0771, d0.loss_cls: 1.9410, d0.loss_bbox: 0.7693, d0.loss_iou: 1.1497, d1.loss_cls: 1.9020, d1.loss_bbox: 0.7467, d1.loss_iou: 1.1217, d2.loss_cls: 1.8699, d2.loss_bbox: 0.7291, d2.loss_iou: 1.0981, d3.loss_cls: 1.8430, d3.loss_bbox: 0.7185, d3.loss_iou: 1.0871, d4.loss_cls: 1.8275, d4.loss_bbox: 0.7128, d4.loss_iou: 1.0802, loss: 22.2020, grad_norm: 11.7003 +2022-10-26 23:02:02,628 - mmdet - INFO - Epoch [48][300/1849] lr: 2.000e-05, eta: 0:12:01, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8359, loss_bbox: 0.7134, loss_iou: 1.0782, d0.loss_cls: 1.9617, d0.loss_bbox: 0.7709, d0.loss_iou: 1.1513, d1.loss_cls: 1.9229, d1.loss_bbox: 0.7495, d1.loss_iou: 1.1234, d2.loss_cls: 1.8875, d2.loss_bbox: 0.7318, d2.loss_iou: 1.0990, d3.loss_cls: 1.8639, d3.loss_bbox: 0.7214, d3.loss_iou: 1.0873, d4.loss_cls: 1.8465, d4.loss_bbox: 0.7159, d4.loss_iou: 1.0805, loss: 22.3410, grad_norm: 11.6628 +2022-10-26 23:02:09,859 - mmdet - INFO - Epoch [48][350/1849] lr: 2.000e-05, eta: 0:11:54, time: 0.145, data_time: 0.005, memory: 4401, loss_cls: 1.8144, loss_bbox: 0.7142, loss_iou: 1.0783, d0.loss_cls: 1.9379, d0.loss_bbox: 0.7731, d0.loss_iou: 1.1529, d1.loss_cls: 1.9022, d1.loss_bbox: 0.7520, d1.loss_iou: 1.1251, d2.loss_cls: 1.8677, d2.loss_bbox: 0.7337, d2.loss_iou: 1.1002, d3.loss_cls: 1.8421, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0888, d4.loss_cls: 1.8250, d4.loss_bbox: 0.7166, d4.loss_iou: 1.0815, loss: 22.2283, grad_norm: 12.3182 +2022-10-26 23:02:16,835 - mmdet - INFO - Epoch [48][400/1849] lr: 2.000e-05, eta: 0:11:47, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8293, loss_bbox: 0.7119, loss_iou: 1.0780, d0.loss_cls: 1.9570, d0.loss_bbox: 0.7707, d0.loss_iou: 1.1531, d1.loss_cls: 1.9195, d1.loss_bbox: 0.7497, d1.loss_iou: 1.1249, d2.loss_cls: 1.8808, d2.loss_bbox: 0.7313, d2.loss_iou: 1.1001, d3.loss_cls: 1.8582, d3.loss_bbox: 0.7209, d3.loss_iou: 1.0886, d4.loss_cls: 1.8398, d4.loss_bbox: 0.7145, d4.loss_iou: 1.0814, loss: 22.3097, grad_norm: 11.6600 +2022-10-26 23:02:23,583 - mmdet - INFO - Epoch [48][450/1849] lr: 2.000e-05, eta: 0:11:41, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8175, loss_bbox: 0.7136, loss_iou: 1.0792, d0.loss_cls: 1.9408, d0.loss_bbox: 0.7737, d0.loss_iou: 1.1529, d1.loss_cls: 1.9053, d1.loss_bbox: 0.7515, d1.loss_iou: 1.1247, d2.loss_cls: 1.8680, d2.loss_bbox: 0.7335, d2.loss_iou: 1.1005, d3.loss_cls: 1.8450, d3.loss_bbox: 0.7229, d3.loss_iou: 1.0890, d4.loss_cls: 1.8275, d4.loss_bbox: 0.7160, d4.loss_iou: 1.0823, loss: 22.2441, grad_norm: 12.4183 +2022-10-26 23:02:30,614 - mmdet - INFO - Epoch [48][500/1849] lr: 2.000e-05, eta: 0:11:34, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8165, loss_bbox: 0.7151, loss_iou: 1.0831, d0.loss_cls: 1.9381, d0.loss_bbox: 0.7742, d0.loss_iou: 1.1565, d1.loss_cls: 1.9009, d1.loss_bbox: 0.7520, d1.loss_iou: 1.1270, d2.loss_cls: 1.8677, d2.loss_bbox: 0.7345, d2.loss_iou: 1.1039, d3.loss_cls: 1.8425, d3.loss_bbox: 0.7242, d3.loss_iou: 1.0931, d4.loss_cls: 1.8278, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0858, loss: 22.2605, grad_norm: 13.2189 +2022-10-26 23:02:37,781 - mmdet - INFO - Epoch [48][550/1849] lr: 2.000e-05, eta: 0:11:27, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8127, loss_bbox: 0.7122, loss_iou: 1.0788, d0.loss_cls: 1.9399, d0.loss_bbox: 0.7723, d0.loss_iou: 1.1514, d1.loss_cls: 1.9009, d1.loss_bbox: 0.7498, d1.loss_iou: 1.1251, d2.loss_cls: 1.8671, d2.loss_bbox: 0.7321, d2.loss_iou: 1.1007, d3.loss_cls: 1.8416, d3.loss_bbox: 0.7212, d3.loss_iou: 1.0892, d4.loss_cls: 1.8239, d4.loss_bbox: 0.7147, d4.loss_iou: 1.0823, loss: 22.2160, grad_norm: 13.4281 +2022-10-26 23:02:44,906 - mmdet - INFO - Epoch [48][600/1849] lr: 2.000e-05, eta: 0:11:20, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8224, loss_bbox: 0.7213, loss_iou: 1.0892, d0.loss_cls: 1.9428, d0.loss_bbox: 0.7791, d0.loss_iou: 1.1617, d1.loss_cls: 1.9077, d1.loss_bbox: 0.7580, d1.loss_iou: 1.1339, d2.loss_cls: 1.8720, d2.loss_bbox: 0.7406, d2.loss_iou: 1.1097, d3.loss_cls: 1.8480, d3.loss_bbox: 0.7304, d3.loss_iou: 1.0989, d4.loss_cls: 1.8309, d4.loss_bbox: 0.7241, d4.loss_iou: 1.0922, loss: 22.3626, grad_norm: 12.4157 +2022-10-26 23:02:52,290 - mmdet - INFO - Epoch [48][650/1849] lr: 2.000e-05, eta: 0:11:13, time: 0.148, data_time: 0.005, memory: 4401, loss_cls: 1.8367, loss_bbox: 0.7198, loss_iou: 1.0884, d0.loss_cls: 1.9595, d0.loss_bbox: 0.7801, d0.loss_iou: 1.1620, d1.loss_cls: 1.9234, d1.loss_bbox: 0.7574, d1.loss_iou: 1.1342, d2.loss_cls: 1.8877, d2.loss_bbox: 0.7394, d2.loss_iou: 1.1096, d3.loss_cls: 1.8649, d3.loss_bbox: 0.7286, d3.loss_iou: 1.0980, d4.loss_cls: 1.8493, d4.loss_bbox: 0.7224, d4.loss_iou: 1.0910, loss: 22.4523, grad_norm: 11.6323 +2022-10-26 23:02:59,229 - mmdet - INFO - Epoch [48][700/1849] lr: 2.000e-05, eta: 0:11:06, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8243, loss_bbox: 0.7158, loss_iou: 1.0823, d0.loss_cls: 1.9497, d0.loss_bbox: 0.7743, d0.loss_iou: 1.1553, d1.loss_cls: 1.9145, d1.loss_bbox: 0.7523, d1.loss_iou: 1.1274, d2.loss_cls: 1.8771, d2.loss_bbox: 0.7350, d2.loss_iou: 1.1030, d3.loss_cls: 1.8516, d3.loss_bbox: 0.7244, d3.loss_iou: 1.0916, d4.loss_cls: 1.8355, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0854, loss: 22.3169, grad_norm: 12.0690 +2022-10-26 23:03:06,228 - mmdet - INFO - Epoch [48][750/1849] lr: 2.000e-05, eta: 0:10:59, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8300, loss_bbox: 0.7146, loss_iou: 1.0849, d0.loss_cls: 1.9557, d0.loss_bbox: 0.7739, d0.loss_iou: 1.1578, d1.loss_cls: 1.9173, d1.loss_bbox: 0.7517, d1.loss_iou: 1.1306, d2.loss_cls: 1.8802, d2.loss_bbox: 0.7336, d2.loss_iou: 1.1060, d3.loss_cls: 1.8570, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0939, d4.loss_cls: 1.8407, d4.loss_bbox: 0.7166, d4.loss_iou: 1.0878, loss: 22.3551, grad_norm: 12.3824 +2022-10-26 23:03:13,297 - mmdet - INFO - Epoch [48][800/1849] lr: 2.000e-05, eta: 0:10:53, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8288, loss_bbox: 0.7150, loss_iou: 1.0826, d0.loss_cls: 1.9536, d0.loss_bbox: 0.7734, d0.loss_iou: 1.1552, d1.loss_cls: 1.9186, d1.loss_bbox: 0.7514, d1.loss_iou: 1.1278, d2.loss_cls: 1.8817, d2.loss_bbox: 0.7334, d2.loss_iou: 1.1040, d3.loss_cls: 1.8590, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0923, d4.loss_cls: 1.8391, d4.loss_bbox: 0.7171, d4.loss_iou: 1.0861, loss: 22.3422, grad_norm: 11.9198 +2022-10-26 23:03:20,362 - mmdet - INFO - Epoch [48][850/1849] lr: 2.000e-05, eta: 0:10:46, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8170, loss_bbox: 0.7187, loss_iou: 1.0821, d0.loss_cls: 1.9405, d0.loss_bbox: 0.7793, d0.loss_iou: 1.1554, d1.loss_cls: 1.9067, d1.loss_bbox: 0.7559, d1.loss_iou: 1.1261, d2.loss_cls: 1.8685, d2.loss_bbox: 0.7380, d2.loss_iou: 1.1016, d3.loss_cls: 1.8443, d3.loss_bbox: 0.7278, d3.loss_iou: 1.0905, d4.loss_cls: 1.8265, d4.loss_bbox: 0.7212, d4.loss_iou: 1.0851, loss: 22.2852, grad_norm: 12.3207 +2022-10-26 23:03:27,341 - mmdet - INFO - Epoch [48][900/1849] lr: 2.000e-05, eta: 0:10:39, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8280, loss_bbox: 0.7158, loss_iou: 1.0828, d0.loss_cls: 1.9520, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1570, d1.loss_cls: 1.9181, d1.loss_bbox: 0.7535, d1.loss_iou: 1.1288, d2.loss_cls: 1.8823, d2.loss_bbox: 0.7352, d2.loss_iou: 1.1042, d3.loss_cls: 1.8560, d3.loss_bbox: 0.7246, d3.loss_iou: 1.0927, d4.loss_cls: 1.8391, d4.loss_bbox: 0.7182, d4.loss_iou: 1.0860, loss: 22.3499, grad_norm: 12.6131 +2022-10-26 23:03:34,388 - mmdet - INFO - Epoch [48][950/1849] lr: 2.000e-05, eta: 0:10:32, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8187, loss_bbox: 0.7201, loss_iou: 1.0845, d0.loss_cls: 1.9439, d0.loss_bbox: 0.7779, d0.loss_iou: 1.1559, d1.loss_cls: 1.9055, d1.loss_bbox: 0.7556, d1.loss_iou: 1.1284, d2.loss_cls: 1.8697, d2.loss_bbox: 0.7386, d2.loss_iou: 1.1052, d3.loss_cls: 1.8452, d3.loss_bbox: 0.7282, d3.loss_iou: 1.0942, d4.loss_cls: 1.8310, d4.loss_bbox: 0.7222, d4.loss_iou: 1.0875, loss: 22.3123, grad_norm: 13.2134 +2022-10-26 23:03:41,358 - mmdet - INFO - Epoch [48][1000/1849] lr: 2.000e-05, eta: 0:10:25, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8172, loss_bbox: 0.7151, loss_iou: 1.0817, d0.loss_cls: 1.9438, d0.loss_bbox: 0.7731, d0.loss_iou: 1.1549, d1.loss_cls: 1.9013, d1.loss_bbox: 0.7518, d1.loss_iou: 1.1267, d2.loss_cls: 1.8643, d2.loss_bbox: 0.7340, d2.loss_iou: 1.1030, d3.loss_cls: 1.8422, d3.loss_bbox: 0.7231, d3.loss_iou: 1.0911, d4.loss_cls: 1.8270, d4.loss_bbox: 0.7172, d4.loss_iou: 1.0846, loss: 22.2522, grad_norm: 12.1322 +2022-10-26 23:03:48,321 - mmdet - INFO - Epoch [48][1050/1849] lr: 2.000e-05, eta: 0:10:18, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8109, loss_bbox: 0.7130, loss_iou: 1.0770, d0.loss_cls: 1.9349, d0.loss_bbox: 0.7727, d0.loss_iou: 1.1520, d1.loss_cls: 1.8975, d1.loss_bbox: 0.7511, d1.loss_iou: 1.1236, d2.loss_cls: 1.8625, d2.loss_bbox: 0.7322, d2.loss_iou: 1.0979, d3.loss_cls: 1.8378, d3.loss_bbox: 0.7218, d3.loss_iou: 1.0872, d4.loss_cls: 1.8221, d4.loss_bbox: 0.7156, d4.loss_iou: 1.0800, loss: 22.1898, grad_norm: 13.8359 +2022-10-26 23:03:55,456 - mmdet - INFO - Epoch [48][1100/1849] lr: 2.000e-05, eta: 0:10:11, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8220, loss_bbox: 0.7174, loss_iou: 1.0854, d0.loss_cls: 1.9473, d0.loss_bbox: 0.7770, d0.loss_iou: 1.1590, d1.loss_cls: 1.9117, d1.loss_bbox: 0.7545, d1.loss_iou: 1.1308, d2.loss_cls: 1.8726, d2.loss_bbox: 0.7373, d2.loss_iou: 1.1065, d3.loss_cls: 1.8487, d3.loss_bbox: 0.7260, d3.loss_iou: 1.0954, d4.loss_cls: 1.8323, d4.loss_bbox: 0.7196, d4.loss_iou: 1.0884, loss: 22.3320, grad_norm: 12.6691 +2022-10-26 23:04:02,775 - mmdet - INFO - Epoch [48][1150/1849] lr: 2.000e-05, eta: 0:10:04, time: 0.146, data_time: 0.004, memory: 4401, loss_cls: 1.8013, loss_bbox: 0.7142, loss_iou: 1.0811, d0.loss_cls: 1.9221, d0.loss_bbox: 0.7741, d0.loss_iou: 1.1541, d1.loss_cls: 1.8860, d1.loss_bbox: 0.7514, d1.loss_iou: 1.1259, d2.loss_cls: 1.8516, d2.loss_bbox: 0.7335, d2.loss_iou: 1.1020, d3.loss_cls: 1.8272, d3.loss_bbox: 0.7231, d3.loss_iou: 1.0908, d4.loss_cls: 1.8125, d4.loss_bbox: 0.7164, d4.loss_iou: 1.0838, loss: 22.1510, grad_norm: 12.6508 +2022-10-26 23:04:09,809 - mmdet - INFO - Epoch [48][1200/1849] lr: 2.000e-05, eta: 0:09:58, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8184, loss_bbox: 0.7171, loss_iou: 1.0826, d0.loss_cls: 1.9423, d0.loss_bbox: 0.7750, d0.loss_iou: 1.1545, d1.loss_cls: 1.9062, d1.loss_bbox: 0.7535, d1.loss_iou: 1.1277, d2.loss_cls: 1.8690, d2.loss_bbox: 0.7358, d2.loss_iou: 1.1030, d3.loss_cls: 1.8452, d3.loss_bbox: 0.7250, d3.loss_iou: 1.0921, d4.loss_cls: 1.8275, d4.loss_bbox: 0.7195, d4.loss_iou: 1.0856, loss: 22.2800, grad_norm: 11.9141 +2022-10-26 23:04:16,914 - mmdet - INFO - Epoch [48][1250/1849] lr: 2.000e-05, eta: 0:09:51, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8309, loss_bbox: 0.7185, loss_iou: 1.0829, d0.loss_cls: 1.9593, d0.loss_bbox: 0.7777, d0.loss_iou: 1.1569, d1.loss_cls: 1.9180, d1.loss_bbox: 0.7548, d1.loss_iou: 1.1283, d2.loss_cls: 1.8837, d2.loss_bbox: 0.7374, d2.loss_iou: 1.1036, d3.loss_cls: 1.8579, d3.loss_bbox: 0.7269, d3.loss_iou: 1.0923, d4.loss_cls: 1.8405, d4.loss_bbox: 0.7209, d4.loss_iou: 1.0859, loss: 22.3765, grad_norm: 12.3180 +2022-10-26 23:04:23,775 - mmdet - INFO - Epoch [48][1300/1849] lr: 2.000e-05, eta: 0:09:44, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8313, loss_bbox: 0.7137, loss_iou: 1.0773, d0.loss_cls: 1.9548, d0.loss_bbox: 0.7731, d0.loss_iou: 1.1511, d1.loss_cls: 1.9159, d1.loss_bbox: 0.7512, d1.loss_iou: 1.1237, d2.loss_cls: 1.8802, d2.loss_bbox: 0.7338, d2.loss_iou: 1.0988, d3.loss_cls: 1.8561, d3.loss_bbox: 0.7225, d3.loss_iou: 1.0876, d4.loss_cls: 1.8417, d4.loss_bbox: 0.7163, d4.loss_iou: 1.0807, loss: 22.3100, grad_norm: 12.2235 +2022-10-26 23:04:30,768 - mmdet - INFO - Epoch [48][1350/1849] lr: 2.000e-05, eta: 0:09:37, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8218, loss_bbox: 0.7132, loss_iou: 1.0805, d0.loss_cls: 1.9452, d0.loss_bbox: 0.7714, d0.loss_iou: 1.1541, d1.loss_cls: 1.9106, d1.loss_bbox: 0.7495, d1.loss_iou: 1.1259, d2.loss_cls: 1.8733, d2.loss_bbox: 0.7327, d2.loss_iou: 1.1019, d3.loss_cls: 1.8505, d3.loss_bbox: 0.7212, d3.loss_iou: 1.0909, d4.loss_cls: 1.8316, d4.loss_bbox: 0.7155, d4.loss_iou: 1.0837, loss: 22.2734, grad_norm: 12.4798 +2022-10-26 23:04:37,894 - mmdet - INFO - Epoch [48][1400/1849] lr: 2.000e-05, eta: 0:09:30, time: 0.143, data_time: 0.005, memory: 4401, loss_cls: 1.8235, loss_bbox: 0.7124, loss_iou: 1.0823, d0.loss_cls: 1.9477, d0.loss_bbox: 0.7732, d0.loss_iou: 1.1571, d1.loss_cls: 1.9136, d1.loss_bbox: 0.7501, d1.loss_iou: 1.1282, d2.loss_cls: 1.8752, d2.loss_bbox: 0.7324, d2.loss_iou: 1.1034, d3.loss_cls: 1.8504, d3.loss_bbox: 0.7214, d3.loss_iou: 1.0922, d4.loss_cls: 1.8330, d4.loss_bbox: 0.7148, d4.loss_iou: 1.0852, loss: 22.2963, grad_norm: 12.9656 +2022-10-26 23:04:44,831 - mmdet - INFO - Epoch [48][1450/1849] lr: 2.000e-05, eta: 0:09:23, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8289, loss_bbox: 0.7191, loss_iou: 1.0855, d0.loss_cls: 1.9509, d0.loss_bbox: 0.7769, d0.loss_iou: 1.1580, d1.loss_cls: 1.9125, d1.loss_bbox: 0.7561, d1.loss_iou: 1.1297, d2.loss_cls: 1.8800, d2.loss_bbox: 0.7377, d2.loss_iou: 1.1065, d3.loss_cls: 1.8562, d3.loss_bbox: 0.7272, d3.loss_iou: 1.0953, d4.loss_cls: 1.8407, d4.loss_bbox: 0.7218, d4.loss_iou: 1.0884, loss: 22.3715, grad_norm: 12.2218 +2022-10-26 23:04:51,793 - mmdet - INFO - Epoch [48][1500/1849] lr: 2.000e-05, eta: 0:09:16, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8227, loss_bbox: 0.7142, loss_iou: 1.0831, d0.loss_cls: 1.9447, d0.loss_bbox: 0.7730, d0.loss_iou: 1.1583, d1.loss_cls: 1.9078, d1.loss_bbox: 0.7510, d1.loss_iou: 1.1295, d2.loss_cls: 1.8720, d2.loss_bbox: 0.7327, d2.loss_iou: 1.1044, d3.loss_cls: 1.8472, d3.loss_bbox: 0.7221, d3.loss_iou: 1.0928, d4.loss_cls: 1.8325, d4.loss_bbox: 0.7163, d4.loss_iou: 1.0862, loss: 22.2905, grad_norm: 12.4411 +2022-10-26 23:04:58,896 - mmdet - INFO - Epoch [48][1550/1849] lr: 2.000e-05, eta: 0:09:09, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8220, loss_bbox: 0.7174, loss_iou: 1.0830, d0.loss_cls: 1.9458, d0.loss_bbox: 0.7770, d0.loss_iou: 1.1565, d1.loss_cls: 1.9093, d1.loss_bbox: 0.7546, d1.loss_iou: 1.1277, d2.loss_cls: 1.8720, d2.loss_bbox: 0.7376, d2.loss_iou: 1.1037, d3.loss_cls: 1.8484, d3.loss_bbox: 0.7267, d3.loss_iou: 1.0918, d4.loss_cls: 1.8332, d4.loss_bbox: 0.7202, d4.loss_iou: 1.0859, loss: 22.3128, grad_norm: 12.9417 +2022-10-26 23:05:05,899 - mmdet - INFO - Epoch [48][1600/1849] lr: 2.000e-05, eta: 0:09:03, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8212, loss_bbox: 0.7146, loss_iou: 1.0839, d0.loss_cls: 1.9446, d0.loss_bbox: 0.7731, d0.loss_iou: 1.1564, d1.loss_cls: 1.9097, d1.loss_bbox: 0.7524, d1.loss_iou: 1.1294, d2.loss_cls: 1.8737, d2.loss_bbox: 0.7340, d2.loss_iou: 1.1054, d3.loss_cls: 1.8479, d3.loss_bbox: 0.7236, d3.loss_iou: 1.0930, d4.loss_cls: 1.8317, d4.loss_bbox: 0.7169, d4.loss_iou: 1.0865, loss: 22.2980, grad_norm: 12.8128 +2022-10-26 23:05:12,935 - mmdet - INFO - Epoch [48][1650/1849] lr: 2.000e-05, eta: 0:08:56, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8261, loss_bbox: 0.7161, loss_iou: 1.0771, d0.loss_cls: 1.9480, d0.loss_bbox: 0.7740, d0.loss_iou: 1.1509, d1.loss_cls: 1.9117, d1.loss_bbox: 0.7535, d1.loss_iou: 1.1232, d2.loss_cls: 1.8763, d2.loss_bbox: 0.7356, d2.loss_iou: 1.0988, d3.loss_cls: 1.8530, d3.loss_bbox: 0.7251, d3.loss_iou: 1.0870, d4.loss_cls: 1.8361, d4.loss_bbox: 0.7183, d4.loss_iou: 1.0807, loss: 22.2915, grad_norm: 12.2179 +2022-10-26 23:05:19,838 - mmdet - INFO - Epoch [48][1700/1849] lr: 2.000e-05, eta: 0:08:49, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8237, loss_bbox: 0.7103, loss_iou: 1.0763, d0.loss_cls: 1.9446, d0.loss_bbox: 0.7685, d0.loss_iou: 1.1511, d1.loss_cls: 1.9087, d1.loss_bbox: 0.7477, d1.loss_iou: 1.1226, d2.loss_cls: 1.8739, d2.loss_bbox: 0.7294, d2.loss_iou: 1.0981, d3.loss_cls: 1.8510, d3.loss_bbox: 0.7183, d3.loss_iou: 1.0861, d4.loss_cls: 1.8339, d4.loss_bbox: 0.7124, d4.loss_iou: 1.0793, loss: 22.2358, grad_norm: 12.1692 +2022-10-26 23:05:26,589 - mmdet - INFO - Epoch [48][1750/1849] lr: 2.000e-05, eta: 0:08:42, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8220, loss_bbox: 0.7153, loss_iou: 1.0795, d0.loss_cls: 1.9472, d0.loss_bbox: 0.7753, d0.loss_iou: 1.1540, d1.loss_cls: 1.9118, d1.loss_bbox: 0.7530, d1.loss_iou: 1.1245, d2.loss_cls: 1.8735, d2.loss_bbox: 0.7354, d2.loss_iou: 1.1010, d3.loss_cls: 1.8494, d3.loss_bbox: 0.7245, d3.loss_iou: 1.0889, d4.loss_cls: 1.8316, d4.loss_bbox: 0.7180, d4.loss_iou: 1.0822, loss: 22.2869, grad_norm: 12.2206 +2022-10-26 23:05:33,447 - mmdet - INFO - Epoch [48][1800/1849] lr: 2.000e-05, eta: 0:08:35, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8287, loss_bbox: 0.7159, loss_iou: 1.0811, d0.loss_cls: 1.9518, d0.loss_bbox: 0.7752, d0.loss_iou: 1.1547, d1.loss_cls: 1.9149, d1.loss_bbox: 0.7540, d1.loss_iou: 1.1269, d2.loss_cls: 1.8799, d2.loss_bbox: 0.7355, d2.loss_iou: 1.1028, d3.loss_cls: 1.8567, d3.loss_bbox: 0.7244, d3.loss_iou: 1.0909, d4.loss_cls: 1.8390, d4.loss_bbox: 0.7185, d4.loss_iou: 1.0842, loss: 22.3350, grad_norm: 12.1592 +2022-10-26 23:05:40,416 - mmdet - INFO - Saving checkpoint at 48 epochs +2022-10-26 23:05:51,000 - mmdet - INFO - Epoch [49][50/1849] lr: 2.000e-05, eta: 0:08:21, time: 0.199, data_time: 0.064, memory: 4401, loss_cls: 1.8141, loss_bbox: 0.7119, loss_iou: 1.0774, d0.loss_cls: 1.9375, d0.loss_bbox: 0.7716, d0.loss_iou: 1.1530, d1.loss_cls: 1.8991, d1.loss_bbox: 0.7499, d1.loss_iou: 1.1238, d2.loss_cls: 1.8627, d2.loss_bbox: 0.7321, d2.loss_iou: 1.0993, d3.loss_cls: 1.8414, d3.loss_bbox: 0.7211, d3.loss_iou: 1.0874, d4.loss_cls: 1.8240, d4.loss_bbox: 0.7145, d4.loss_iou: 1.0806, loss: 22.2014, grad_norm: 12.5187 +2022-10-26 23:05:58,014 - mmdet - INFO - Epoch [49][100/1849] lr: 2.000e-05, eta: 0:08:14, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8216, loss_bbox: 0.7132, loss_iou: 1.0821, d0.loss_cls: 1.9474, d0.loss_bbox: 0.7735, d0.loss_iou: 1.1563, d1.loss_cls: 1.9098, d1.loss_bbox: 0.7506, d1.loss_iou: 1.1281, d2.loss_cls: 1.8709, d2.loss_bbox: 0.7323, d2.loss_iou: 1.1038, d3.loss_cls: 1.8468, d3.loss_bbox: 0.7218, d3.loss_iou: 1.0917, d4.loss_cls: 1.8315, d4.loss_bbox: 0.7160, d4.loss_iou: 1.0853, loss: 22.2829, grad_norm: 12.4891 +2022-10-26 23:06:04,801 - mmdet - INFO - Epoch [49][150/1849] lr: 2.000e-05, eta: 0:08:08, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8204, loss_bbox: 0.7151, loss_iou: 1.0769, d0.loss_cls: 1.9403, d0.loss_bbox: 0.7753, d0.loss_iou: 1.1521, d1.loss_cls: 1.9080, d1.loss_bbox: 0.7524, d1.loss_iou: 1.1225, d2.loss_cls: 1.8688, d2.loss_bbox: 0.7349, d2.loss_iou: 1.0979, d3.loss_cls: 1.8459, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0871, d4.loss_cls: 1.8333, d4.loss_bbox: 0.7174, d4.loss_iou: 1.0796, loss: 22.2518, grad_norm: 11.8221 +2022-10-26 23:06:11,767 - mmdet - INFO - Epoch [49][200/1849] lr: 2.000e-05, eta: 0:08:01, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8078, loss_bbox: 0.7158, loss_iou: 1.0813, d0.loss_cls: 1.9320, d0.loss_bbox: 0.7744, d0.loss_iou: 1.1542, d1.loss_cls: 1.8973, d1.loss_bbox: 0.7525, d1.loss_iou: 1.1261, d2.loss_cls: 1.8615, d2.loss_bbox: 0.7346, d2.loss_iou: 1.1017, d3.loss_cls: 1.8361, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0908, d4.loss_cls: 1.8193, d4.loss_bbox: 0.7182, d4.loss_iou: 1.0843, loss: 22.2119, grad_norm: 13.0582 +2022-10-26 23:06:18,977 - mmdet - INFO - Epoch [49][250/1849] lr: 2.000e-05, eta: 0:07:54, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.8235, loss_bbox: 0.7130, loss_iou: 1.0820, d0.loss_cls: 1.9400, d0.loss_bbox: 0.7703, d0.loss_iou: 1.1552, d1.loss_cls: 1.9082, d1.loss_bbox: 0.7500, d1.loss_iou: 1.1278, d2.loss_cls: 1.8711, d2.loss_bbox: 0.7325, d2.loss_iou: 1.1027, d3.loss_cls: 1.8491, d3.loss_bbox: 0.7213, d3.loss_iou: 1.0914, d4.loss_cls: 1.8329, d4.loss_bbox: 0.7155, d4.loss_iou: 1.0851, loss: 22.2715, grad_norm: 12.8706 +2022-10-26 23:06:26,174 - mmdet - INFO - Epoch [49][300/1849] lr: 2.000e-05, eta: 0:07:47, time: 0.144, data_time: 0.005, memory: 4401, loss_cls: 1.8006, loss_bbox: 0.7119, loss_iou: 1.0774, d0.loss_cls: 1.9271, d0.loss_bbox: 0.7713, d0.loss_iou: 1.1513, d1.loss_cls: 1.8890, d1.loss_bbox: 0.7490, d1.loss_iou: 1.1228, d2.loss_cls: 1.8518, d2.loss_bbox: 0.7313, d2.loss_iou: 1.0991, d3.loss_cls: 1.8270, d3.loss_bbox: 0.7208, d3.loss_iou: 1.0872, d4.loss_cls: 1.8119, d4.loss_bbox: 0.7143, d4.loss_iou: 1.0804, loss: 22.1242, grad_norm: 12.3613 +2022-10-26 23:06:33,266 - mmdet - INFO - Epoch [49][350/1849] lr: 2.000e-05, eta: 0:07:40, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8167, loss_bbox: 0.7189, loss_iou: 1.0855, d0.loss_cls: 1.9377, d0.loss_bbox: 0.7784, d0.loss_iou: 1.1586, d1.loss_cls: 1.9035, d1.loss_bbox: 0.7553, d1.loss_iou: 1.1302, d2.loss_cls: 1.8659, d2.loss_bbox: 0.7377, d2.loss_iou: 1.1062, d3.loss_cls: 1.8430, d3.loss_bbox: 0.7272, d3.loss_iou: 1.0947, d4.loss_cls: 1.8277, d4.loss_bbox: 0.7211, d4.loss_iou: 1.0885, loss: 22.2970, grad_norm: 12.2761 +2022-10-26 23:06:40,260 - mmdet - INFO - Epoch [49][400/1849] lr: 2.000e-05, eta: 0:07:33, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8220, loss_bbox: 0.7181, loss_iou: 1.0798, d0.loss_cls: 1.9484, d0.loss_bbox: 0.7748, d0.loss_iou: 1.1531, d1.loss_cls: 1.9089, d1.loss_bbox: 0.7546, d1.loss_iou: 1.1250, d2.loss_cls: 1.8719, d2.loss_bbox: 0.7370, d2.loss_iou: 1.1012, d3.loss_cls: 1.8488, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0894, d4.loss_cls: 1.8317, d4.loss_bbox: 0.7205, d4.loss_iou: 1.0828, loss: 22.2941, grad_norm: 11.6130 +2022-10-26 23:06:47,187 - mmdet - INFO - Epoch [49][450/1849] lr: 2.000e-05, eta: 0:07:26, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8197, loss_bbox: 0.7132, loss_iou: 1.0818, d0.loss_cls: 1.9449, d0.loss_bbox: 0.7740, d0.loss_iou: 1.1562, d1.loss_cls: 1.9081, d1.loss_bbox: 0.7516, d1.loss_iou: 1.1278, d2.loss_cls: 1.8716, d2.loss_bbox: 0.7334, d2.loss_iou: 1.1032, d3.loss_cls: 1.8471, d3.loss_bbox: 0.7221, d3.loss_iou: 1.0916, d4.loss_cls: 1.8310, d4.loss_bbox: 0.7156, d4.loss_iou: 1.0845, loss: 22.2775, grad_norm: 12.3197 +2022-10-26 23:06:53,994 - mmdet - INFO - Epoch [49][500/1849] lr: 2.000e-05, eta: 0:07:19, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8169, loss_bbox: 0.7139, loss_iou: 1.0781, d0.loss_cls: 1.9421, d0.loss_bbox: 0.7743, d0.loss_iou: 1.1532, d1.loss_cls: 1.9046, d1.loss_bbox: 0.7513, d1.loss_iou: 1.1240, d2.loss_cls: 1.8668, d2.loss_bbox: 0.7341, d2.loss_iou: 1.0998, d3.loss_cls: 1.8434, d3.loss_bbox: 0.7229, d3.loss_iou: 1.0878, d4.loss_cls: 1.8267, d4.loss_bbox: 0.7164, d4.loss_iou: 1.0809, loss: 22.2371, grad_norm: 12.0303 +2022-10-26 23:07:00,704 - mmdet - INFO - Epoch [49][550/1849] lr: 2.000e-05, eta: 0:07:13, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.8159, loss_bbox: 0.7164, loss_iou: 1.0793, d0.loss_cls: 1.9409, d0.loss_bbox: 0.7753, d0.loss_iou: 1.1525, d1.loss_cls: 1.9028, d1.loss_bbox: 0.7528, d1.loss_iou: 1.1244, d2.loss_cls: 1.8662, d2.loss_bbox: 0.7354, d2.loss_iou: 1.1004, d3.loss_cls: 1.8427, d3.loss_bbox: 0.7249, d3.loss_iou: 1.0891, d4.loss_cls: 1.8262, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0823, loss: 22.2464, grad_norm: 13.9200 +2022-10-26 23:07:07,524 - mmdet - INFO - Epoch [49][600/1849] lr: 2.000e-05, eta: 0:07:06, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8229, loss_bbox: 0.7172, loss_iou: 1.0821, d0.loss_cls: 1.9476, d0.loss_bbox: 0.7746, d0.loss_iou: 1.1547, d1.loss_cls: 1.9074, d1.loss_bbox: 0.7528, d1.loss_iou: 1.1265, d2.loss_cls: 1.8743, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1027, d3.loss_cls: 1.8497, d3.loss_bbox: 0.7254, d3.loss_iou: 1.0915, d4.loss_cls: 1.8336, d4.loss_bbox: 0.7193, d4.loss_iou: 1.0846, loss: 22.3029, grad_norm: 11.6503 +2022-10-26 23:07:14,476 - mmdet - INFO - Epoch [49][650/1849] lr: 2.000e-05, eta: 0:06:59, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8093, loss_bbox: 0.7141, loss_iou: 1.0780, d0.loss_cls: 1.9328, d0.loss_bbox: 0.7737, d0.loss_iou: 1.1522, d1.loss_cls: 1.8956, d1.loss_bbox: 0.7512, d1.loss_iou: 1.1231, d2.loss_cls: 1.8598, d2.loss_bbox: 0.7336, d2.loss_iou: 1.0982, d3.loss_cls: 1.8375, d3.loss_bbox: 0.7230, d3.loss_iou: 1.0872, d4.loss_cls: 1.8212, d4.loss_bbox: 0.7167, d4.loss_iou: 1.0810, loss: 22.1883, grad_norm: 13.4317 +2022-10-26 23:07:21,402 - mmdet - INFO - Epoch [49][700/1849] lr: 2.000e-05, eta: 0:06:52, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8148, loss_bbox: 0.7155, loss_iou: 1.0820, d0.loss_cls: 1.9416, d0.loss_bbox: 0.7729, d0.loss_iou: 1.1549, d1.loss_cls: 1.9021, d1.loss_bbox: 0.7524, d1.loss_iou: 1.1268, d2.loss_cls: 1.8672, d2.loss_bbox: 0.7346, d2.loss_iou: 1.1021, d3.loss_cls: 1.8424, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0917, d4.loss_cls: 1.8257, d4.loss_bbox: 0.7183, d4.loss_iou: 1.0847, loss: 22.2538, grad_norm: 14.7391 +2022-10-26 23:07:28,454 - mmdet - INFO - Epoch [49][750/1849] lr: 2.000e-05, eta: 0:06:45, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8006, loss_bbox: 0.7095, loss_iou: 1.0755, d0.loss_cls: 1.9263, d0.loss_bbox: 0.7685, d0.loss_iou: 1.1496, d1.loss_cls: 1.8894, d1.loss_bbox: 0.7465, d1.loss_iou: 1.1220, d2.loss_cls: 1.8539, d2.loss_bbox: 0.7286, d2.loss_iou: 1.0969, d3.loss_cls: 1.8269, d3.loss_bbox: 0.7182, d3.loss_iou: 1.0855, d4.loss_cls: 1.8094, d4.loss_bbox: 0.7121, d4.loss_iou: 1.0786, loss: 22.0979, grad_norm: 12.2400 +2022-10-26 23:07:35,463 - mmdet - INFO - Epoch [49][800/1849] lr: 2.000e-05, eta: 0:06:38, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8249, loss_bbox: 0.7154, loss_iou: 1.0859, d0.loss_cls: 1.9479, d0.loss_bbox: 0.7752, d0.loss_iou: 1.1594, d1.loss_cls: 1.9117, d1.loss_bbox: 0.7527, d1.loss_iou: 1.1304, d2.loss_cls: 1.8755, d2.loss_bbox: 0.7351, d2.loss_iou: 1.1062, d3.loss_cls: 1.8530, d3.loss_bbox: 0.7242, d3.loss_iou: 1.0956, d4.loss_cls: 1.8351, d4.loss_bbox: 0.7176, d4.loss_iou: 1.0888, loss: 22.3346, grad_norm: 12.2733 +2022-10-26 23:07:42,346 - mmdet - INFO - Epoch [49][850/1849] lr: 2.000e-05, eta: 0:06:31, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8276, loss_bbox: 0.7125, loss_iou: 1.0834, d0.loss_cls: 1.9514, d0.loss_bbox: 0.7710, d0.loss_iou: 1.1576, d1.loss_cls: 1.9132, d1.loss_bbox: 0.7492, d1.loss_iou: 1.1286, d2.loss_cls: 1.8787, d2.loss_bbox: 0.7313, d2.loss_iou: 1.1045, d3.loss_cls: 1.8562, d3.loss_bbox: 0.7210, d3.loss_iou: 1.0934, d4.loss_cls: 1.8398, d4.loss_bbox: 0.7150, d4.loss_iou: 1.0865, loss: 22.3209, grad_norm: 13.7524 +2022-10-26 23:07:49,286 - mmdet - INFO - Epoch [49][900/1849] lr: 2.000e-05, eta: 0:06:24, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8240, loss_bbox: 0.7114, loss_iou: 1.0795, d0.loss_cls: 1.9502, d0.loss_bbox: 0.7708, d0.loss_iou: 1.1546, d1.loss_cls: 1.9121, d1.loss_bbox: 0.7489, d1.loss_iou: 1.1253, d2.loss_cls: 1.8747, d2.loss_bbox: 0.7309, d2.loss_iou: 1.1011, d3.loss_cls: 1.8497, d3.loss_bbox: 0.7202, d3.loss_iou: 1.0894, d4.loss_cls: 1.8349, d4.loss_bbox: 0.7136, d4.loss_iou: 1.0826, loss: 22.2739, grad_norm: 12.5698 +2022-10-26 23:07:56,006 - mmdet - INFO - Epoch [49][950/1849] lr: 2.000e-05, eta: 0:06:18, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.8198, loss_bbox: 0.7151, loss_iou: 1.0772, d0.loss_cls: 1.9434, d0.loss_bbox: 0.7748, d0.loss_iou: 1.1521, d1.loss_cls: 1.9076, d1.loss_bbox: 0.7533, d1.loss_iou: 1.1245, d2.loss_cls: 1.8706, d2.loss_bbox: 0.7345, d2.loss_iou: 1.1003, d3.loss_cls: 1.8457, d3.loss_bbox: 0.7242, d3.loss_iou: 1.0876, d4.loss_cls: 1.8279, d4.loss_bbox: 0.7173, d4.loss_iou: 1.0807, loss: 22.2569, grad_norm: 12.2076 +2022-10-26 23:08:02,825 - mmdet - INFO - Epoch [49][1000/1849] lr: 2.000e-05, eta: 0:06:11, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8356, loss_bbox: 0.7166, loss_iou: 1.0845, d0.loss_cls: 1.9602, d0.loss_bbox: 0.7763, d0.loss_iou: 1.1580, d1.loss_cls: 1.9228, d1.loss_bbox: 0.7537, d1.loss_iou: 1.1301, d2.loss_cls: 1.8866, d2.loss_bbox: 0.7364, d2.loss_iou: 1.1062, d3.loss_cls: 1.8622, d3.loss_bbox: 0.7260, d3.loss_iou: 1.0943, d4.loss_cls: 1.8471, d4.loss_bbox: 0.7194, d4.loss_iou: 1.0878, loss: 22.4038, grad_norm: 12.6056 +2022-10-26 23:08:09,742 - mmdet - INFO - Epoch [49][1050/1849] lr: 2.000e-05, eta: 0:06:04, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8254, loss_bbox: 0.7152, loss_iou: 1.0841, d0.loss_cls: 1.9494, d0.loss_bbox: 0.7734, d0.loss_iou: 1.1574, d1.loss_cls: 1.9143, d1.loss_bbox: 0.7520, d1.loss_iou: 1.1292, d2.loss_cls: 1.8756, d2.loss_bbox: 0.7335, d2.loss_iou: 1.1059, d3.loss_cls: 1.8528, d3.loss_bbox: 0.7235, d3.loss_iou: 1.0938, d4.loss_cls: 1.8347, d4.loss_bbox: 0.7173, d4.loss_iou: 1.0872, loss: 22.3245, grad_norm: 12.8431 +2022-10-26 23:08:16,825 - mmdet - INFO - Epoch [49][1100/1849] lr: 2.000e-05, eta: 0:05:57, time: 0.142, data_time: 0.005, memory: 4401, loss_cls: 1.8222, loss_bbox: 0.7150, loss_iou: 1.0851, d0.loss_cls: 1.9447, d0.loss_bbox: 0.7748, d0.loss_iou: 1.1578, d1.loss_cls: 1.9081, d1.loss_bbox: 0.7522, d1.loss_iou: 1.1299, d2.loss_cls: 1.8727, d2.loss_bbox: 0.7348, d2.loss_iou: 1.1059, d3.loss_cls: 1.8483, d3.loss_bbox: 0.7235, d3.loss_iou: 1.0950, d4.loss_cls: 1.8338, d4.loss_bbox: 0.7172, d4.loss_iou: 1.0882, loss: 22.3090, grad_norm: 12.4849 +2022-10-26 23:08:23,551 - mmdet - INFO - Epoch [49][1150/1849] lr: 2.000e-05, eta: 0:05:50, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8221, loss_bbox: 0.7136, loss_iou: 1.0805, d0.loss_cls: 1.9476, d0.loss_bbox: 0.7728, d0.loss_iou: 1.1540, d1.loss_cls: 1.9108, d1.loss_bbox: 0.7519, d1.loss_iou: 1.1258, d2.loss_cls: 1.8745, d2.loss_bbox: 0.7335, d2.loss_iou: 1.1023, d3.loss_cls: 1.8498, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0910, d4.loss_cls: 1.8336, d4.loss_bbox: 0.7161, d4.loss_iou: 1.0837, loss: 22.2866, grad_norm: 13.1872 +2022-10-26 23:08:30,277 - mmdet - INFO - Epoch [49][1200/1849] lr: 2.000e-05, eta: 0:05:43, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8082, loss_bbox: 0.7116, loss_iou: 1.0796, d0.loss_cls: 1.9316, d0.loss_bbox: 0.7712, d0.loss_iou: 1.1546, d1.loss_cls: 1.8950, d1.loss_bbox: 0.7489, d1.loss_iou: 1.1256, d2.loss_cls: 1.8575, d2.loss_bbox: 0.7305, d2.loss_iou: 1.1014, d3.loss_cls: 1.8334, d3.loss_bbox: 0.7199, d3.loss_iou: 1.0898, d4.loss_cls: 1.8182, d4.loss_bbox: 0.7139, d4.loss_iou: 1.0829, loss: 22.1738, grad_norm: 12.5620 +2022-10-26 23:08:37,044 - mmdet - INFO - Epoch [49][1250/1849] lr: 2.000e-05, eta: 0:05:36, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8191, loss_bbox: 0.7108, loss_iou: 1.0797, d0.loss_cls: 1.9473, d0.loss_bbox: 0.7709, d0.loss_iou: 1.1531, d1.loss_cls: 1.9115, d1.loss_bbox: 0.7485, d1.loss_iou: 1.1247, d2.loss_cls: 1.8721, d2.loss_bbox: 0.7304, d2.loss_iou: 1.1009, d3.loss_cls: 1.8471, d3.loss_bbox: 0.7195, d3.loss_iou: 1.0896, d4.loss_cls: 1.8294, d4.loss_bbox: 0.7134, d4.loss_iou: 1.0828, loss: 22.2509, grad_norm: 11.9406 +2022-10-26 23:08:43,986 - mmdet - INFO - Epoch [49][1300/1849] lr: 2.000e-05, eta: 0:05:29, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8231, loss_bbox: 0.7158, loss_iou: 1.0808, d0.loss_cls: 1.9467, d0.loss_bbox: 0.7746, d0.loss_iou: 1.1546, d1.loss_cls: 1.9100, d1.loss_bbox: 0.7518, d1.loss_iou: 1.1262, d2.loss_cls: 1.8741, d2.loss_bbox: 0.7350, d2.loss_iou: 1.1019, d3.loss_cls: 1.8482, d3.loss_bbox: 0.7248, d3.loss_iou: 1.0906, d4.loss_cls: 1.8329, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0843, loss: 22.2936, grad_norm: 12.2841 +2022-10-26 23:08:50,893 - mmdet - INFO - Epoch [49][1350/1849] lr: 2.000e-05, eta: 0:05:22, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8132, loss_bbox: 0.7186, loss_iou: 1.0830, d0.loss_cls: 1.9367, d0.loss_bbox: 0.7763, d0.loss_iou: 1.1570, d1.loss_cls: 1.9003, d1.loss_bbox: 0.7556, d1.loss_iou: 1.1286, d2.loss_cls: 1.8641, d2.loss_bbox: 0.7372, d2.loss_iou: 1.1044, d3.loss_cls: 1.8374, d3.loss_bbox: 0.7262, d3.loss_iou: 1.0929, d4.loss_cls: 1.8234, d4.loss_bbox: 0.7204, d4.loss_iou: 1.0864, loss: 22.2619, grad_norm: 12.3463 +2022-10-26 23:08:57,884 - mmdet - INFO - Epoch [49][1400/1849] lr: 2.000e-05, eta: 0:05:16, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8145, loss_bbox: 0.7164, loss_iou: 1.0816, d0.loss_cls: 1.9359, d0.loss_bbox: 0.7744, d0.loss_iou: 1.1560, d1.loss_cls: 1.9010, d1.loss_bbox: 0.7534, d1.loss_iou: 1.1279, d2.loss_cls: 1.8669, d2.loss_bbox: 0.7359, d2.loss_iou: 1.1034, d3.loss_cls: 1.8416, d3.loss_bbox: 0.7251, d3.loss_iou: 1.0914, d4.loss_cls: 1.8247, d4.loss_bbox: 0.7184, d4.loss_iou: 1.0845, loss: 22.2528, grad_norm: 12.6592 +2022-10-26 23:09:04,656 - mmdet - INFO - Epoch [49][1450/1849] lr: 2.000e-05, eta: 0:05:09, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8226, loss_bbox: 0.7216, loss_iou: 1.0836, d0.loss_cls: 1.9486, d0.loss_bbox: 0.7800, d0.loss_iou: 1.1556, d1.loss_cls: 1.9121, d1.loss_bbox: 0.7587, d1.loss_iou: 1.1286, d2.loss_cls: 1.8757, d2.loss_bbox: 0.7407, d2.loss_iou: 1.1047, d3.loss_cls: 1.8497, d3.loss_bbox: 0.7299, d3.loss_iou: 1.0935, d4.loss_cls: 1.8328, d4.loss_bbox: 0.7236, d4.loss_iou: 1.0870, loss: 22.3488, grad_norm: 14.0576 +2022-10-26 23:09:11,493 - mmdet - INFO - Epoch [49][1500/1849] lr: 2.000e-05, eta: 0:05:02, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8144, loss_bbox: 0.7160, loss_iou: 1.0793, d0.loss_cls: 1.9382, d0.loss_bbox: 0.7729, d0.loss_iou: 1.1511, d1.loss_cls: 1.8998, d1.loss_bbox: 0.7529, d1.loss_iou: 1.1242, d2.loss_cls: 1.8654, d2.loss_bbox: 0.7351, d2.loss_iou: 1.0995, d3.loss_cls: 1.8411, d3.loss_bbox: 0.7238, d3.loss_iou: 1.0892, d4.loss_cls: 1.8243, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0824, loss: 22.2275, grad_norm: 12.5083 +2022-10-26 23:09:18,210 - mmdet - INFO - Epoch [49][1550/1849] lr: 2.000e-05, eta: 0:04:55, time: 0.134, data_time: 0.005, memory: 4401, loss_cls: 1.8198, loss_bbox: 0.7140, loss_iou: 1.0807, d0.loss_cls: 1.9418, d0.loss_bbox: 0.7732, d0.loss_iou: 1.1532, d1.loss_cls: 1.9075, d1.loss_bbox: 0.7516, d1.loss_iou: 1.1261, d2.loss_cls: 1.8736, d2.loss_bbox: 0.7340, d2.loss_iou: 1.1013, d3.loss_cls: 1.8475, d3.loss_bbox: 0.7230, d3.loss_iou: 1.0902, d4.loss_cls: 1.8326, d4.loss_bbox: 0.7163, d4.loss_iou: 1.0838, loss: 22.2702, grad_norm: 16.0094 +2022-10-26 23:09:24,864 - mmdet - INFO - Epoch [49][1600/1849] lr: 2.000e-05, eta: 0:04:48, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.8222, loss_bbox: 0.7148, loss_iou: 1.0799, d0.loss_cls: 1.9430, d0.loss_bbox: 0.7751, d0.loss_iou: 1.1552, d1.loss_cls: 1.9104, d1.loss_bbox: 0.7517, d1.loss_iou: 1.1262, d2.loss_cls: 1.8724, d2.loss_bbox: 0.7345, d2.loss_iou: 1.1011, d3.loss_cls: 1.8474, d3.loss_bbox: 0.7227, d3.loss_iou: 1.0898, d4.loss_cls: 1.8331, d4.loss_bbox: 0.7171, d4.loss_iou: 1.0831, loss: 22.2797, grad_norm: 12.1638 +2022-10-26 23:09:31,712 - mmdet - INFO - Epoch [49][1650/1849] lr: 2.000e-05, eta: 0:04:41, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8292, loss_bbox: 0.7166, loss_iou: 1.0850, d0.loss_cls: 1.9535, d0.loss_bbox: 0.7737, d0.loss_iou: 1.1570, d1.loss_cls: 1.9124, d1.loss_bbox: 0.7526, d1.loss_iou: 1.1295, d2.loss_cls: 1.8785, d2.loss_bbox: 0.7363, d2.loss_iou: 1.1065, d3.loss_cls: 1.8564, d3.loss_bbox: 0.7250, d3.loss_iou: 1.0940, d4.loss_cls: 1.8414, d4.loss_bbox: 0.7190, d4.loss_iou: 1.0880, loss: 22.3545, grad_norm: 11.2587 +2022-10-26 23:09:38,753 - mmdet - INFO - Epoch [49][1700/1849] lr: 2.000e-05, eta: 0:04:34, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8294, loss_bbox: 0.7167, loss_iou: 1.0811, d0.loss_cls: 1.9499, d0.loss_bbox: 0.7753, d0.loss_iou: 1.1553, d1.loss_cls: 1.9135, d1.loss_bbox: 0.7527, d1.loss_iou: 1.1270, d2.loss_cls: 1.8789, d2.loss_bbox: 0.7358, d2.loss_iou: 1.1020, d3.loss_cls: 1.8577, d3.loss_bbox: 0.7254, d3.loss_iou: 1.0911, d4.loss_cls: 1.8397, d4.loss_bbox: 0.7195, d4.loss_iou: 1.0845, loss: 22.3353, grad_norm: 13.2949 +2022-10-26 23:09:45,695 - mmdet - INFO - Epoch [49][1750/1849] lr: 2.000e-05, eta: 0:04:27, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8128, loss_bbox: 0.7161, loss_iou: 1.0816, d0.loss_cls: 1.9375, d0.loss_bbox: 0.7747, d0.loss_iou: 1.1549, d1.loss_cls: 1.8989, d1.loss_bbox: 0.7525, d1.loss_iou: 1.1265, d2.loss_cls: 1.8622, d2.loss_bbox: 0.7351, d2.loss_iou: 1.1022, d3.loss_cls: 1.8384, d3.loss_bbox: 0.7247, d3.loss_iou: 1.0910, d4.loss_cls: 1.8228, d4.loss_bbox: 0.7183, d4.loss_iou: 1.0843, loss: 22.2345, grad_norm: 13.9784 +2022-10-26 23:09:52,580 - mmdet - INFO - Epoch [49][1800/1849] lr: 2.000e-05, eta: 0:04:21, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8234, loss_bbox: 0.7132, loss_iou: 1.0784, d0.loss_cls: 1.9499, d0.loss_bbox: 0.7722, d0.loss_iou: 1.1531, d1.loss_cls: 1.9090, d1.loss_bbox: 0.7501, d1.loss_iou: 1.1249, d2.loss_cls: 1.8770, d2.loss_bbox: 0.7328, d2.loss_iou: 1.0999, d3.loss_cls: 1.8515, d3.loss_bbox: 0.7212, d3.loss_iou: 1.0878, d4.loss_cls: 1.8346, d4.loss_bbox: 0.7157, d4.loss_iou: 1.0812, loss: 22.2756, grad_norm: 12.5389 +2022-10-26 23:09:59,665 - mmdet - INFO - Saving checkpoint at 49 epochs +2022-10-26 23:10:10,299 - mmdet - INFO - Epoch [50][50/1849] lr: 2.000e-05, eta: 0:04:07, time: 0.200, data_time: 0.063, memory: 4401, loss_cls: 1.8210, loss_bbox: 0.7126, loss_iou: 1.0835, d0.loss_cls: 1.9458, d0.loss_bbox: 0.7733, d0.loss_iou: 1.1579, d1.loss_cls: 1.9096, d1.loss_bbox: 0.7493, d1.loss_iou: 1.1285, d2.loss_cls: 1.8719, d2.loss_bbox: 0.7319, d2.loss_iou: 1.1041, d3.loss_cls: 1.8465, d3.loss_bbox: 0.7211, d3.loss_iou: 1.0930, d4.loss_cls: 1.8320, d4.loss_bbox: 0.7146, d4.loss_iou: 1.0862, loss: 22.2825, grad_norm: 13.4857 +2022-10-26 23:10:17,317 - mmdet - INFO - Epoch [50][100/1849] lr: 2.000e-05, eta: 0:04:00, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8094, loss_bbox: 0.7125, loss_iou: 1.0789, d0.loss_cls: 1.9325, d0.loss_bbox: 0.7727, d0.loss_iou: 1.1529, d1.loss_cls: 1.8951, d1.loss_bbox: 0.7504, d1.loss_iou: 1.1251, d2.loss_cls: 1.8600, d2.loss_bbox: 0.7321, d2.loss_iou: 1.1007, d3.loss_cls: 1.8365, d3.loss_bbox: 0.7215, d3.loss_iou: 1.0891, d4.loss_cls: 1.8205, d4.loss_bbox: 0.7153, d4.loss_iou: 1.0819, loss: 22.1870, grad_norm: 11.7549 +2022-10-26 23:10:24,476 - mmdet - INFO - Epoch [50][150/1849] lr: 2.000e-05, eta: 0:03:53, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.8239, loss_bbox: 0.7144, loss_iou: 1.0770, d0.loss_cls: 1.9483, d0.loss_bbox: 0.7742, d0.loss_iou: 1.1513, d1.loss_cls: 1.9098, d1.loss_bbox: 0.7527, d1.loss_iou: 1.1233, d2.loss_cls: 1.8725, d2.loss_bbox: 0.7343, d2.loss_iou: 1.0988, d3.loss_cls: 1.8488, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0869, d4.loss_cls: 1.8336, d4.loss_bbox: 0.7168, d4.loss_iou: 1.0804, loss: 22.2698, grad_norm: 12.5311 +2022-10-26 23:10:31,613 - mmdet - INFO - Epoch [50][200/1849] lr: 2.000e-05, eta: 0:03:46, time: 0.143, data_time: 0.004, memory: 4401, loss_cls: 1.8268, loss_bbox: 0.7154, loss_iou: 1.0776, d0.loss_cls: 1.9496, d0.loss_bbox: 0.7746, d0.loss_iou: 1.1520, d1.loss_cls: 1.9137, d1.loss_bbox: 0.7529, d1.loss_iou: 1.1221, d2.loss_cls: 1.8793, d2.loss_bbox: 0.7349, d2.loss_iou: 1.0986, d3.loss_cls: 1.8537, d3.loss_bbox: 0.7237, d3.loss_iou: 1.0875, d4.loss_cls: 1.8373, d4.loss_bbox: 0.7177, d4.loss_iou: 1.0808, loss: 22.2980, grad_norm: 12.2981 +2022-10-26 23:10:38,714 - mmdet - INFO - Epoch [50][250/1849] lr: 2.000e-05, eta: 0:03:39, time: 0.142, data_time: 0.004, memory: 4401, loss_cls: 1.8327, loss_bbox: 0.7166, loss_iou: 1.0829, d0.loss_cls: 1.9575, d0.loss_bbox: 0.7745, d0.loss_iou: 1.1552, d1.loss_cls: 1.9187, d1.loss_bbox: 0.7541, d1.loss_iou: 1.1276, d2.loss_cls: 1.8865, d2.loss_bbox: 0.7365, d2.loss_iou: 1.1030, d3.loss_cls: 1.8604, d3.loss_bbox: 0.7257, d3.loss_iou: 1.0920, d4.loss_cls: 1.8446, d4.loss_bbox: 0.7192, d4.loss_iou: 1.0857, loss: 22.3731, grad_norm: 12.1392 +2022-10-26 23:10:45,626 - mmdet - INFO - Epoch [50][300/1849] lr: 2.000e-05, eta: 0:03:33, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8141, loss_bbox: 0.7150, loss_iou: 1.0805, d0.loss_cls: 1.9358, d0.loss_bbox: 0.7735, d0.loss_iou: 1.1534, d1.loss_cls: 1.9032, d1.loss_bbox: 0.7529, d1.loss_iou: 1.1259, d2.loss_cls: 1.8657, d2.loss_bbox: 0.7357, d2.loss_iou: 1.1017, d3.loss_cls: 1.8403, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0904, d4.loss_cls: 1.8239, d4.loss_bbox: 0.7175, d4.loss_iou: 1.0836, loss: 22.2372, grad_norm: 12.2494 +2022-10-26 23:10:52,660 - mmdet - INFO - Epoch [50][350/1849] lr: 2.000e-05, eta: 0:03:26, time: 0.141, data_time: 0.004, memory: 4401, loss_cls: 1.8091, loss_bbox: 0.7200, loss_iou: 1.0829, d0.loss_cls: 1.9347, d0.loss_bbox: 0.7789, d0.loss_iou: 1.1569, d1.loss_cls: 1.8984, d1.loss_bbox: 0.7569, d1.loss_iou: 1.1283, d2.loss_cls: 1.8628, d2.loss_bbox: 0.7395, d2.loss_iou: 1.1039, d3.loss_cls: 1.8364, d3.loss_bbox: 0.7292, d3.loss_iou: 1.0928, d4.loss_cls: 1.8194, d4.loss_bbox: 0.7223, d4.loss_iou: 1.0862, loss: 22.2587, grad_norm: 12.1890 +2022-10-26 23:10:59,638 - mmdet - INFO - Epoch [50][400/1849] lr: 2.000e-05, eta: 0:03:19, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8174, loss_bbox: 0.7196, loss_iou: 1.0869, d0.loss_cls: 1.9384, d0.loss_bbox: 0.7768, d0.loss_iou: 1.1598, d1.loss_cls: 1.9040, d1.loss_bbox: 0.7556, d1.loss_iou: 1.1323, d2.loss_cls: 1.8663, d2.loss_bbox: 0.7381, d2.loss_iou: 1.1080, d3.loss_cls: 1.8439, d3.loss_bbox: 0.7281, d3.loss_iou: 1.0967, d4.loss_cls: 1.8266, d4.loss_bbox: 0.7220, d4.loss_iou: 1.0898, loss: 22.3101, grad_norm: 12.0399 +2022-10-26 23:11:06,616 - mmdet - INFO - Epoch [50][450/1849] lr: 2.000e-05, eta: 0:03:12, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8132, loss_bbox: 0.7115, loss_iou: 1.0783, d0.loss_cls: 1.9371, d0.loss_bbox: 0.7722, d0.loss_iou: 1.1530, d1.loss_cls: 1.8990, d1.loss_bbox: 0.7501, d1.loss_iou: 1.1241, d2.loss_cls: 1.8647, d2.loss_bbox: 0.7310, d2.loss_iou: 1.0992, d3.loss_cls: 1.8405, d3.loss_bbox: 0.7206, d3.loss_iou: 1.0881, d4.loss_cls: 1.8254, d4.loss_bbox: 0.7138, d4.loss_iou: 1.0813, loss: 22.2032, grad_norm: 12.0713 +2022-10-26 23:11:13,893 - mmdet - INFO - Epoch [50][500/1849] lr: 2.000e-05, eta: 0:03:05, time: 0.146, data_time: 0.004, memory: 4401, loss_cls: 1.8266, loss_bbox: 0.7159, loss_iou: 1.0843, d0.loss_cls: 1.9530, d0.loss_bbox: 0.7738, d0.loss_iou: 1.1567, d1.loss_cls: 1.9130, d1.loss_bbox: 0.7532, d1.loss_iou: 1.1290, d2.loss_cls: 1.8785, d2.loss_bbox: 0.7358, d2.loss_iou: 1.1046, d3.loss_cls: 1.8546, d3.loss_bbox: 0.7245, d3.loss_iou: 1.0940, d4.loss_cls: 1.8387, d4.loss_bbox: 0.7185, d4.loss_iou: 1.0872, loss: 22.3417, grad_norm: 12.2011 +2022-10-26 23:11:20,881 - mmdet - INFO - Epoch [50][550/1849] lr: 2.000e-05, eta: 0:02:58, time: 0.140, data_time: 0.005, memory: 4401, loss_cls: 1.8178, loss_bbox: 0.7143, loss_iou: 1.0771, d0.loss_cls: 1.9424, d0.loss_bbox: 0.7732, d0.loss_iou: 1.1525, d1.loss_cls: 1.9056, d1.loss_bbox: 0.7514, d1.loss_iou: 1.1240, d2.loss_cls: 1.8696, d2.loss_bbox: 0.7340, d2.loss_iou: 1.0989, d3.loss_cls: 1.8437, d3.loss_bbox: 0.7231, d3.loss_iou: 1.0868, d4.loss_cls: 1.8273, d4.loss_bbox: 0.7174, d4.loss_iou: 1.0801, loss: 22.2393, grad_norm: 12.1470 +2022-10-26 23:11:27,812 - mmdet - INFO - Epoch [50][600/1849] lr: 2.000e-05, eta: 0:02:51, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8073, loss_bbox: 0.7149, loss_iou: 1.0839, d0.loss_cls: 1.9314, d0.loss_bbox: 0.7734, d0.loss_iou: 1.1572, d1.loss_cls: 1.8937, d1.loss_bbox: 0.7520, d1.loss_iou: 1.1299, d2.loss_cls: 1.8576, d2.loss_bbox: 0.7340, d2.loss_iou: 1.1054, d3.loss_cls: 1.8340, d3.loss_bbox: 0.7238, d3.loss_iou: 1.0937, d4.loss_cls: 1.8179, d4.loss_bbox: 0.7174, d4.loss_iou: 1.0867, loss: 22.2143, grad_norm: 11.7884 +2022-10-26 23:11:34,709 - mmdet - INFO - Epoch [50][650/1849] lr: 2.000e-05, eta: 0:02:44, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8159, loss_bbox: 0.7186, loss_iou: 1.0844, d0.loss_cls: 1.9417, d0.loss_bbox: 0.7776, d0.loss_iou: 1.1577, d1.loss_cls: 1.9059, d1.loss_bbox: 0.7551, d1.loss_iou: 1.1282, d2.loss_cls: 1.8656, d2.loss_bbox: 0.7377, d2.loss_iou: 1.1045, d3.loss_cls: 1.8429, d3.loss_bbox: 0.7273, d3.loss_iou: 1.0938, d4.loss_cls: 1.8258, d4.loss_bbox: 0.7211, d4.loss_iou: 1.0872, loss: 22.2912, grad_norm: 12.1897 +2022-10-26 23:11:41,648 - mmdet - INFO - Epoch [50][700/1849] lr: 2.000e-05, eta: 0:02:38, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8304, loss_bbox: 0.7175, loss_iou: 1.0869, d0.loss_cls: 1.9544, d0.loss_bbox: 0.7763, d0.loss_iou: 1.1617, d1.loss_cls: 1.9179, d1.loss_bbox: 0.7534, d1.loss_iou: 1.1320, d2.loss_cls: 1.8801, d2.loss_bbox: 0.7363, d2.loss_iou: 1.1077, d3.loss_cls: 1.8572, d3.loss_bbox: 0.7253, d3.loss_iou: 1.0967, d4.loss_cls: 1.8423, d4.loss_bbox: 0.7194, d4.loss_iou: 1.0898, loss: 22.3853, grad_norm: 12.1532 +2022-10-26 23:11:48,508 - mmdet - INFO - Epoch [50][750/1849] lr: 2.000e-05, eta: 0:02:31, time: 0.137, data_time: 0.004, memory: 4401, loss_cls: 1.8124, loss_bbox: 0.7144, loss_iou: 1.0818, d0.loss_cls: 1.9353, d0.loss_bbox: 0.7734, d0.loss_iou: 1.1546, d1.loss_cls: 1.8971, d1.loss_bbox: 0.7510, d1.loss_iou: 1.1259, d2.loss_cls: 1.8630, d2.loss_bbox: 0.7332, d2.loss_iou: 1.1015, d3.loss_cls: 1.8387, d3.loss_bbox: 0.7222, d3.loss_iou: 1.0908, d4.loss_cls: 1.8219, d4.loss_bbox: 0.7164, d4.loss_iou: 1.0849, loss: 22.2185, grad_norm: 12.0628 +2022-10-26 23:11:55,475 - mmdet - INFO - Epoch [50][800/1849] lr: 2.000e-05, eta: 0:02:24, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8177, loss_bbox: 0.7147, loss_iou: 1.0831, d0.loss_cls: 1.9440, d0.loss_bbox: 0.7735, d0.loss_iou: 1.1575, d1.loss_cls: 1.9054, d1.loss_bbox: 0.7516, d1.loss_iou: 1.1287, d2.loss_cls: 1.8682, d2.loss_bbox: 0.7335, d2.loss_iou: 1.1034, d3.loss_cls: 1.8436, d3.loss_bbox: 0.7231, d3.loss_iou: 1.0930, d4.loss_cls: 1.8272, d4.loss_bbox: 0.7170, d4.loss_iou: 1.0867, loss: 22.2718, grad_norm: 12.4466 +2022-10-26 23:12:02,545 - mmdet - INFO - Epoch [50][850/1849] lr: 2.000e-05, eta: 0:02:17, time: 0.141, data_time: 0.005, memory: 4401, loss_cls: 1.8076, loss_bbox: 0.7146, loss_iou: 1.0813, d0.loss_cls: 1.9276, d0.loss_bbox: 0.7724, d0.loss_iou: 1.1536, d1.loss_cls: 1.8922, d1.loss_bbox: 0.7507, d1.loss_iou: 1.1253, d2.loss_cls: 1.8562, d2.loss_bbox: 0.7341, d2.loss_iou: 1.1015, d3.loss_cls: 1.8347, d3.loss_bbox: 0.7232, d3.loss_iou: 1.0911, d4.loss_cls: 1.8191, d4.loss_bbox: 0.7170, d4.loss_iou: 1.0840, loss: 22.1862, grad_norm: 12.4074 +2022-10-26 23:12:09,338 - mmdet - INFO - Epoch [50][900/1849] lr: 2.000e-05, eta: 0:02:10, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8267, loss_bbox: 0.7154, loss_iou: 1.0798, d0.loss_cls: 1.9490, d0.loss_bbox: 0.7751, d0.loss_iou: 1.1530, d1.loss_cls: 1.9124, d1.loss_bbox: 0.7530, d1.loss_iou: 1.1250, d2.loss_cls: 1.8740, d2.loss_bbox: 0.7350, d2.loss_iou: 1.1011, d3.loss_cls: 1.8497, d3.loss_bbox: 0.7242, d3.loss_iou: 1.0905, d4.loss_cls: 1.8358, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0831, loss: 22.3008, grad_norm: 12.2549 +2022-10-26 23:12:16,306 - mmdet - INFO - Epoch [50][950/1849] lr: 2.000e-05, eta: 0:02:03, time: 0.139, data_time: 0.005, memory: 4401, loss_cls: 1.8336, loss_bbox: 0.7154, loss_iou: 1.0820, d0.loss_cls: 1.9580, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1564, d1.loss_cls: 1.9228, d1.loss_bbox: 0.7536, d1.loss_iou: 1.1286, d2.loss_cls: 1.8850, d2.loss_bbox: 0.7354, d2.loss_iou: 1.1040, d3.loss_cls: 1.8599, d3.loss_bbox: 0.7248, d3.loss_iou: 1.0926, d4.loss_cls: 1.8446, d4.loss_bbox: 0.7181, d4.loss_iou: 1.0856, loss: 22.3761, grad_norm: 11.9274 +2022-10-26 23:12:23,643 - mmdet - INFO - Epoch [50][1000/1849] lr: 2.000e-05, eta: 0:01:56, time: 0.147, data_time: 0.005, memory: 4401, loss_cls: 1.8179, loss_bbox: 0.7134, loss_iou: 1.0794, d0.loss_cls: 1.9436, d0.loss_bbox: 0.7729, d0.loss_iou: 1.1533, d1.loss_cls: 1.9076, d1.loss_bbox: 0.7501, d1.loss_iou: 1.1250, d2.loss_cls: 1.8708, d2.loss_bbox: 0.7323, d2.loss_iou: 1.1002, d3.loss_cls: 1.8453, d3.loss_bbox: 0.7220, d3.loss_iou: 1.0885, d4.loss_cls: 1.8290, d4.loss_bbox: 0.7158, d4.loss_iou: 1.0822, loss: 22.2493, grad_norm: 12.2323 +2022-10-26 23:12:30,465 - mmdet - INFO - Epoch [50][1050/1849] lr: 2.000e-05, eta: 0:01:49, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8091, loss_bbox: 0.7116, loss_iou: 1.0774, d0.loss_cls: 1.9322, d0.loss_bbox: 0.7724, d0.loss_iou: 1.1529, d1.loss_cls: 1.8948, d1.loss_bbox: 0.7496, d1.loss_iou: 1.1242, d2.loss_cls: 1.8583, d2.loss_bbox: 0.7317, d2.loss_iou: 1.0987, d3.loss_cls: 1.8342, d3.loss_bbox: 0.7207, d3.loss_iou: 1.0877, d4.loss_cls: 1.8201, d4.loss_bbox: 0.7144, d4.loss_iou: 1.0803, loss: 22.1702, grad_norm: 12.3236 +2022-10-26 23:12:37,127 - mmdet - INFO - Epoch [50][1100/1849] lr: 2.000e-05, eta: 0:01:43, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.8210, loss_bbox: 0.7152, loss_iou: 1.0811, d0.loss_cls: 1.9453, d0.loss_bbox: 0.7748, d0.loss_iou: 1.1543, d1.loss_cls: 1.9090, d1.loss_bbox: 0.7519, d1.loss_iou: 1.1258, d2.loss_cls: 1.8731, d2.loss_bbox: 0.7348, d2.loss_iou: 1.1011, d3.loss_cls: 1.8518, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0898, d4.loss_cls: 1.8333, d4.loss_bbox: 0.7177, d4.loss_iou: 1.0837, loss: 22.2878, grad_norm: 12.5979 +2022-10-26 23:12:43,754 - mmdet - INFO - Epoch [50][1150/1849] lr: 2.000e-05, eta: 0:01:36, time: 0.133, data_time: 0.005, memory: 4401, loss_cls: 1.8177, loss_bbox: 0.7145, loss_iou: 1.0821, d0.loss_cls: 1.9429, d0.loss_bbox: 0.7730, d0.loss_iou: 1.1564, d1.loss_cls: 1.9061, d1.loss_bbox: 0.7519, d1.loss_iou: 1.1285, d2.loss_cls: 1.8698, d2.loss_bbox: 0.7331, d2.loss_iou: 1.1033, d3.loss_cls: 1.8438, d3.loss_bbox: 0.7231, d3.loss_iou: 1.0916, d4.loss_cls: 1.8277, d4.loss_bbox: 0.7169, d4.loss_iou: 1.0851, loss: 22.2676, grad_norm: 12.3828 +2022-10-26 23:12:50,716 - mmdet - INFO - Epoch [50][1200/1849] lr: 2.000e-05, eta: 0:01:29, time: 0.139, data_time: 0.004, memory: 4401, loss_cls: 1.8266, loss_bbox: 0.7116, loss_iou: 1.0764, d0.loss_cls: 1.9493, d0.loss_bbox: 0.7709, d0.loss_iou: 1.1502, d1.loss_cls: 1.9147, d1.loss_bbox: 0.7478, d1.loss_iou: 1.1217, d2.loss_cls: 1.8775, d2.loss_bbox: 0.7306, d2.loss_iou: 1.0965, d3.loss_cls: 1.8525, d3.loss_bbox: 0.7196, d3.loss_iou: 1.0860, d4.loss_cls: 1.8373, d4.loss_bbox: 0.7137, d4.loss_iou: 1.0792, loss: 22.2621, grad_norm: 12.2906 +2022-10-26 23:12:57,437 - mmdet - INFO - Epoch [50][1250/1849] lr: 2.000e-05, eta: 0:01:22, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8350, loss_bbox: 0.7166, loss_iou: 1.0851, d0.loss_cls: 1.9548, d0.loss_bbox: 0.7752, d0.loss_iou: 1.1596, d1.loss_cls: 1.9178, d1.loss_bbox: 0.7528, d1.loss_iou: 1.1310, d2.loss_cls: 1.8815, d2.loss_bbox: 0.7355, d2.loss_iou: 1.1072, d3.loss_cls: 1.8603, d3.loss_bbox: 0.7249, d3.loss_iou: 1.0952, d4.loss_cls: 1.8444, d4.loss_bbox: 0.7187, d4.loss_iou: 1.0883, loss: 22.3838, grad_norm: 13.3002 +2022-10-26 23:13:04,262 - mmdet - INFO - Epoch [50][1300/1849] lr: 2.000e-05, eta: 0:01:15, time: 0.136, data_time: 0.004, memory: 4401, loss_cls: 1.8250, loss_bbox: 0.7160, loss_iou: 1.0808, d0.loss_cls: 1.9457, d0.loss_bbox: 0.7763, d0.loss_iou: 1.1542, d1.loss_cls: 1.9102, d1.loss_bbox: 0.7542, d1.loss_iou: 1.1264, d2.loss_cls: 1.8764, d2.loss_bbox: 0.7357, d2.loss_iou: 1.1021, d3.loss_cls: 1.8524, d3.loss_bbox: 0.7243, d3.loss_iou: 1.0904, d4.loss_cls: 1.8357, d4.loss_bbox: 0.7183, d4.loss_iou: 1.0839, loss: 22.3077, grad_norm: 12.4058 +2022-10-26 23:13:11,172 - mmdet - INFO - Epoch [50][1350/1849] lr: 2.000e-05, eta: 0:01:08, time: 0.138, data_time: 0.004, memory: 4401, loss_cls: 1.8293, loss_bbox: 0.7141, loss_iou: 1.0787, d0.loss_cls: 1.9521, d0.loss_bbox: 0.7751, d0.loss_iou: 1.1530, d1.loss_cls: 1.9157, d1.loss_bbox: 0.7525, d1.loss_iou: 1.1249, d2.loss_cls: 1.8787, d2.loss_bbox: 0.7345, d2.loss_iou: 1.0999, d3.loss_cls: 1.8557, d3.loss_bbox: 0.7232, d3.loss_iou: 1.0884, d4.loss_cls: 1.8396, d4.loss_bbox: 0.7168, d4.loss_iou: 1.0820, loss: 22.3142, grad_norm: 11.8009 +2022-10-26 23:13:17,927 - mmdet - INFO - Epoch [50][1400/1849] lr: 2.000e-05, eta: 0:01:01, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8188, loss_bbox: 0.7138, loss_iou: 1.0821, d0.loss_cls: 1.9467, d0.loss_bbox: 0.7732, d0.loss_iou: 1.1562, d1.loss_cls: 1.9091, d1.loss_bbox: 0.7517, d1.loss_iou: 1.1276, d2.loss_cls: 1.8690, d2.loss_bbox: 0.7342, d2.loss_iou: 1.1029, d3.loss_cls: 1.8450, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0917, d4.loss_cls: 1.8301, d4.loss_bbox: 0.7165, d4.loss_iou: 1.0852, loss: 22.2767, grad_norm: 13.0222 +2022-10-26 23:13:24,699 - mmdet - INFO - Epoch [50][1450/1849] lr: 2.000e-05, eta: 0:00:54, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8141, loss_bbox: 0.7133, loss_iou: 1.0786, d0.loss_cls: 1.9368, d0.loss_bbox: 0.7724, d0.loss_iou: 1.1525, d1.loss_cls: 1.9017, d1.loss_bbox: 0.7503, d1.loss_iou: 1.1236, d2.loss_cls: 1.8630, d2.loss_bbox: 0.7330, d2.loss_iou: 1.0991, d3.loss_cls: 1.8400, d3.loss_bbox: 0.7222, d3.loss_iou: 1.0878, d4.loss_cls: 1.8246, d4.loss_bbox: 0.7161, d4.loss_iou: 1.0815, loss: 22.2108, grad_norm: 12.7965 +2022-10-26 23:13:31,518 - mmdet - INFO - Epoch [50][1500/1849] lr: 2.000e-05, eta: 0:00:48, time: 0.136, data_time: 0.005, memory: 4401, loss_cls: 1.8189, loss_bbox: 0.7134, loss_iou: 1.0826, d0.loss_cls: 1.9412, d0.loss_bbox: 0.7718, d0.loss_iou: 1.1558, d1.loss_cls: 1.9032, d1.loss_bbox: 0.7497, d1.loss_iou: 1.1266, d2.loss_cls: 1.8682, d2.loss_bbox: 0.7323, d2.loss_iou: 1.1028, d3.loss_cls: 1.8433, d3.loss_bbox: 0.7213, d3.loss_iou: 1.0919, d4.loss_cls: 1.8289, d4.loss_bbox: 0.7154, d4.loss_iou: 1.0851, loss: 22.2523, grad_norm: 12.0917 +2022-10-26 23:13:38,369 - mmdet - INFO - Epoch [50][1550/1849] lr: 2.000e-05, eta: 0:00:41, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8042, loss_bbox: 0.7113, loss_iou: 1.0724, d0.loss_cls: 1.9299, d0.loss_bbox: 0.7708, d0.loss_iou: 1.1465, d1.loss_cls: 1.8910, d1.loss_bbox: 0.7490, d1.loss_iou: 1.1183, d2.loss_cls: 1.8542, d2.loss_bbox: 0.7303, d2.loss_iou: 1.0943, d3.loss_cls: 1.8299, d3.loss_bbox: 0.7193, d3.loss_iou: 1.0830, d4.loss_cls: 1.8150, d4.loss_bbox: 0.7134, d4.loss_iou: 1.0758, loss: 22.1088, grad_norm: 12.1264 +2022-10-26 23:13:45,390 - mmdet - INFO - Epoch [50][1600/1849] lr: 2.000e-05, eta: 0:00:34, time: 0.140, data_time: 0.004, memory: 4401, loss_cls: 1.8133, loss_bbox: 0.7090, loss_iou: 1.0764, d0.loss_cls: 1.9351, d0.loss_bbox: 0.7686, d0.loss_iou: 1.1494, d1.loss_cls: 1.8993, d1.loss_bbox: 0.7469, d1.loss_iou: 1.1217, d2.loss_cls: 1.8672, d2.loss_bbox: 0.7279, d2.loss_iou: 1.0968, d3.loss_cls: 1.8405, d3.loss_bbox: 0.7175, d3.loss_iou: 1.0860, d4.loss_cls: 1.8225, d4.loss_bbox: 0.7112, d4.loss_iou: 1.0793, loss: 22.1686, grad_norm: 13.6142 +2022-10-26 23:13:52,307 - mmdet - INFO - Epoch [50][1650/1849] lr: 2.000e-05, eta: 0:00:27, time: 0.138, data_time: 0.005, memory: 4401, loss_cls: 1.8291, loss_bbox: 0.7116, loss_iou: 1.0785, d0.loss_cls: 1.9555, d0.loss_bbox: 0.7707, d0.loss_iou: 1.1526, d1.loss_cls: 1.9175, d1.loss_bbox: 0.7495, d1.loss_iou: 1.1254, d2.loss_cls: 1.8810, d2.loss_bbox: 0.7310, d2.loss_iou: 1.1002, d3.loss_cls: 1.8551, d3.loss_bbox: 0.7201, d3.loss_iou: 1.0883, d4.loss_cls: 1.8395, d4.loss_bbox: 0.7143, d4.loss_iou: 1.0813, loss: 22.3014, grad_norm: 14.0528 +2022-10-26 23:13:59,164 - mmdet - INFO - Epoch [50][1700/1849] lr: 2.000e-05, eta: 0:00:20, time: 0.137, data_time: 0.005, memory: 4401, loss_cls: 1.8165, loss_bbox: 0.7135, loss_iou: 1.0775, d0.loss_cls: 1.9417, d0.loss_bbox: 0.7710, d0.loss_iou: 1.1509, d1.loss_cls: 1.9050, d1.loss_bbox: 0.7507, d1.loss_iou: 1.1227, d2.loss_cls: 1.8683, d2.loss_bbox: 0.7325, d2.loss_iou: 1.0987, d3.loss_cls: 1.8419, d3.loss_bbox: 0.7219, d3.loss_iou: 1.0872, d4.loss_cls: 1.8265, d4.loss_bbox: 0.7157, d4.loss_iou: 1.0805, loss: 22.2226, grad_norm: 13.4948 +2022-10-26 23:14:05,900 - mmdet - INFO - Epoch [50][1750/1849] lr: 2.000e-05, eta: 0:00:13, time: 0.135, data_time: 0.005, memory: 4401, loss_cls: 1.8063, loss_bbox: 0.7156, loss_iou: 1.0765, d0.loss_cls: 1.9257, d0.loss_bbox: 0.7753, d0.loss_iou: 1.1524, d1.loss_cls: 1.8955, d1.loss_bbox: 0.7536, d1.loss_iou: 1.1238, d2.loss_cls: 1.8573, d2.loss_bbox: 0.7366, d2.loss_iou: 1.0981, d3.loss_cls: 1.8333, d3.loss_bbox: 0.7244, d3.loss_iou: 1.0865, d4.loss_cls: 1.8159, d4.loss_bbox: 0.7179, d4.loss_iou: 1.0798, loss: 22.1746, grad_norm: 11.9486 +2022-10-26 23:14:12,668 - mmdet - INFO - Epoch [50][1800/1849] lr: 2.000e-05, eta: 0:00:06, time: 0.135, data_time: 0.004, memory: 4401, loss_cls: 1.8386, loss_bbox: 0.7170, loss_iou: 1.0847, d0.loss_cls: 1.9670, d0.loss_bbox: 0.7756, d0.loss_iou: 1.1581, d1.loss_cls: 1.9262, d1.loss_bbox: 0.7538, d1.loss_iou: 1.1301, d2.loss_cls: 1.8924, d2.loss_bbox: 0.7361, d2.loss_iou: 1.1053, d3.loss_cls: 1.8673, d3.loss_bbox: 0.7259, d3.loss_iou: 1.0946, d4.loss_cls: 1.8513, d4.loss_bbox: 0.7195, d4.loss_iou: 1.0877, loss: 22.4312, grad_norm: 13.5801 +2022-10-26 23:14:19,489 - mmdet - INFO - Saving checkpoint at 50 epochs diff --git a/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/20221026_193523.log.json b/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/20221026_193523.log.json new file mode 100644 index 0000000000000000000000000000000000000000..ae04c382b4d321e87b0c27e98c3202f6dfca3e68 --- /dev/null +++ b/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/20221026_193523.log.json @@ -0,0 +1,1801 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: A100-SXM-80GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.3, V11.3.109\nGCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0\nPyTorch: 1.10.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX512\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.11.1+cu113\nOpenCV: 4.6.0\nMMCV: 1.6.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.3\nMMDetection: 2.25.2+2d311f3", "config": "model = dict(\n type='DETR',\n backbone=dict(\n type='ResNet',\n depth=50,\n num_stages=4,\n out_indices=(3, ),\n frozen_stages=4,\n norm_cfg=dict(type='BN', requires_grad=False),\n norm_eval=True,\n style='pytorch',\n init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50')),\n bbox_head=dict(\n type='DETRHead',\n num_classes=256,\n in_channels=2048,\n transformer=dict(\n type='Transformer',\n encoder=dict(\n type='DetrTransformerEncoder',\n num_layers=6,\n transformerlayers=dict(\n type='BaseTransformerLayer',\n attn_cfgs=[\n dict(\n type='MultiheadAttention',\n embed_dims=256,\n num_heads=8,\n dropout=0.1)\n ],\n feedforward_channels=2048,\n ffn_dropout=0.1,\n operation_order=('self_attn', 'norm', 'ffn', 'norm'))),\n decoder=dict(\n type='DetrTransformerDecoder',\n return_intermediate=True,\n num_layers=6,\n transformerlayers=dict(\n type='DetrTransformerDecoderLayer',\n attn_cfgs=dict(\n type='MultiheadAttention',\n embed_dims=256,\n num_heads=8,\n dropout=0.1),\n feedforward_channels=2048,\n ffn_dropout=0.1,\n operation_order=('self_attn', 'norm', 'cross_attn', 'norm',\n 'ffn', 'norm')))),\n positional_encoding=dict(\n type='SinePositionalEncoding', num_feats=128, normalize=True),\n loss_cls=dict(\n type='CrossEntropyLoss',\n bg_cls_weight=0.1,\n use_sigmoid=False,\n loss_weight=1.0,\n class_weight=1.0),\n loss_bbox=dict(type='L1Loss', loss_weight=5.0),\n loss_iou=dict(type='GIoULoss', loss_weight=2.0)),\n train_cfg=dict(\n assigner=dict(\n type='HungarianAssigner',\n cls_cost=dict(type='ClassificationCost', weight=1.0),\n reg_cost=dict(type='BBoxL1Cost', weight=5.0, box_format='xywh'),\n iou_cost=dict(type='IoUCost', iou_mode='giou', weight=2.0))),\n test_cfg=dict(max_per_img=100))\ndataset_type = 'CocoDataset'\ndata_root = 'data/coco/'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ntrain_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True),\n dict(type='RandomFlip', flip_ratio=0.5),\n dict(\n type='AutoAugment',\n policies=[[{\n 'type':\n 'Resize',\n 'img_scale': [(480, 1333), (512, 1333), (544, 1333), (576, 1333),\n (608, 1333), (640, 1333), (672, 1333), (704, 1333),\n (736, 1333), (768, 1333), (800, 1333)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }],\n [{\n 'type': 'Resize',\n 'img_scale': [(400, 1333), (500, 1333), (600, 1333)],\n 'multiscale_mode': 'value',\n 'keep_ratio': True\n }, {\n 'type': 'RandomCrop',\n 'crop_type': 'absolute_range',\n 'crop_size': (384, 600),\n 'allow_negative_crop': True\n }, {\n 'type':\n 'Resize',\n 'img_scale': [(480, 1333), (512, 1333), (544, 1333),\n (576, 1333), (608, 1333), (640, 1333),\n (672, 1333), (704, 1333), (736, 1333),\n (768, 1333), (800, 1333)],\n 'multiscale_mode':\n 'value',\n 'override':\n True,\n 'keep_ratio':\n True\n }]]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=1),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=2,\n workers_per_gpu=2,\n train=dict(\n type='CocoDataset',\n ann_file='train2017_ratio3size0008@0.5_cluster-id-as-class.json',\n img_prefix='data/coco/train2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True),\n dict(type='RandomFlip', flip_ratio=0.5),\n dict(\n type='AutoAugment',\n policies=[[{\n 'type':\n 'Resize',\n 'img_scale': [(480, 1333), (512, 1333), (544, 1333),\n (576, 1333), (608, 1333), (640, 1333),\n (672, 1333), (704, 1333), (736, 1333),\n (768, 1333), (800, 1333)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }],\n [{\n 'type': 'Resize',\n 'img_scale': [(400, 1333), (500, 1333),\n (600, 1333)],\n 'multiscale_mode': 'value',\n 'keep_ratio': True\n }, {\n 'type': 'RandomCrop',\n 'crop_type': 'absolute_range',\n 'crop_size': (384, 600),\n 'allow_negative_crop': True\n }, {\n 'type':\n 'Resize',\n 'img_scale': [(480, 1333), (512, 1333),\n (544, 1333), (576, 1333),\n (608, 1333), (640, 1333),\n (672, 1333), (704, 1333),\n (736, 1333), (768, 1333),\n (800, 1333)],\n 'multiscale_mode':\n 'value',\n 'override':\n True,\n 'keep_ratio':\n True\n }]]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=1),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n ],\n classes=[\n 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5',\n 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10',\n 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14',\n 'cluster_15', 'cluster_16', 'cluster_17', 'cluster_18',\n 'cluster_19', 'cluster_20', 'cluster_21', 'cluster_22',\n 'cluster_23', 'cluster_24', 'cluster_25', 'cluster_26',\n 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30',\n 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34',\n 'cluster_35', 'cluster_36', 'cluster_37', 'cluster_38',\n 'cluster_39', 'cluster_40', 'cluster_41', 'cluster_42',\n 'cluster_43', 'cluster_44', 'cluster_45', 'cluster_46',\n 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50',\n 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54',\n 'cluster_55', 'cluster_56', 'cluster_57', 'cluster_58',\n 'cluster_59', 'cluster_60', 'cluster_61', 'cluster_62',\n 'cluster_63', 'cluster_64', 'cluster_65', 'cluster_66',\n 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70',\n 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74',\n 'cluster_75', 'cluster_76', 'cluster_77', 'cluster_78',\n 'cluster_79', 'cluster_80', 'cluster_81', 'cluster_82',\n 'cluster_83', 'cluster_84', 'cluster_85', 'cluster_86',\n 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90',\n 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94',\n 'cluster_95', 'cluster_96', 'cluster_97', 'cluster_98',\n 'cluster_99', 'cluster_100', 'cluster_101', 'cluster_102',\n 'cluster_103', 'cluster_104', 'cluster_105', 'cluster_106',\n 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110',\n 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114',\n 'cluster_115', 'cluster_116', 'cluster_117', 'cluster_118',\n 'cluster_119', 'cluster_120', 'cluster_121', 'cluster_122',\n 'cluster_123', 'cluster_124', 'cluster_125', 'cluster_126',\n 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130',\n 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134',\n 'cluster_135', 'cluster_136', 'cluster_137', 'cluster_138',\n 'cluster_139', 'cluster_140', 'cluster_141', 'cluster_142',\n 'cluster_143', 'cluster_144', 'cluster_145', 'cluster_146',\n 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150',\n 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154',\n 'cluster_155', 'cluster_156', 'cluster_157', 'cluster_158',\n 'cluster_159', 'cluster_160', 'cluster_161', 'cluster_162',\n 'cluster_163', 'cluster_164', 'cluster_165', 'cluster_166',\n 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170',\n 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174',\n 'cluster_175', 'cluster_176', 'cluster_177', 'cluster_178',\n 'cluster_179', 'cluster_180', 'cluster_181', 'cluster_182',\n 'cluster_183', 'cluster_184', 'cluster_185', 'cluster_186',\n 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190',\n 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194',\n 'cluster_195', 'cluster_196', 'cluster_197', 'cluster_198',\n 'cluster_199', 'cluster_200', 'cluster_201', 'cluster_202',\n 'cluster_203', 'cluster_204', 'cluster_205', 'cluster_206',\n 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210',\n 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214',\n 'cluster_215', 'cluster_216', 'cluster_217', 'cluster_218',\n 'cluster_219', 'cluster_220', 'cluster_221', 'cluster_222',\n 'cluster_223', 'cluster_224', 'cluster_225', 'cluster_226',\n 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230',\n 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234',\n 'cluster_235', 'cluster_236', 'cluster_237', 'cluster_238',\n 'cluster_239', 'cluster_240', 'cluster_241', 'cluster_242',\n 'cluster_243', 'cluster_244', 'cluster_245', 'cluster_246',\n 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250',\n 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254',\n 'cluster_255', 'cluster_256'\n ]),\n val=dict(\n type='CocoDataset',\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='CocoDataset',\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nevaluation = dict(\n interval=65535, metric='bbox', save_best='auto', gpu_collect=True)\ncheckpoint_config = dict(interval=1)\nlog_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')])\ncustom_hooks = [\n dict(type='NumClassCheckHook'),\n dict(\n type='MMDetWandbHook',\n init_kwargs=dict(project='I2B', group='finetune'),\n interval=50,\n num_eval_images=0,\n log_checkpoint=False)\n]\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\nopencv_num_threads = 0\nmp_start_method = 'fork'\nauto_scale_lr = dict(enable=True, base_batch_size=64)\ncustom_imports = dict(\n imports=[\n 'mmselfsup.datasets.pipelines',\n 'selfsup.core.hook.momentum_update_hook',\n 'selfsup.datasets.pipelines.selfsup_pipelines',\n 'selfsup.datasets.pipelines.rand_aug',\n 'selfsup.datasets.single_view_coco',\n 'selfsup.datasets.multi_view_coco',\n 'selfsup.models.losses.contrastive_loss',\n 'selfsup.models.dense_heads.fcos_head',\n 'selfsup.models.dense_heads.retina_head',\n 'selfsup.models.dense_heads.detr_head',\n 'selfsup.models.dense_heads.deformable_detr_head',\n 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head',\n 'selfsup.models.roi_heads.standard_roi_head',\n 'selfsup.models.detectors.selfsup_detector',\n 'selfsup.models.detectors.selfsup_fcos',\n 'selfsup.models.detectors.selfsup_detr',\n 'selfsup.models.detectors.selfsup_deformable_detr',\n 'selfsup.models.detectors.selfsup_retinanet',\n 'selfsup.models.detectors.selfsup_mask_rcnn',\n 'selfsup.core.bbox.assigners.hungarian_assigner',\n 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner',\n 'selfsup.core.bbox.match_costs.match_cost'\n ],\n allow_failed_imports=False)\nclasses = [\n 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5',\n 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10',\n 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', 'cluster_15',\n 'cluster_16', 'cluster_17', 'cluster_18', 'cluster_19', 'cluster_20',\n 'cluster_21', 'cluster_22', 'cluster_23', 'cluster_24', 'cluster_25',\n 'cluster_26', 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30',\n 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', 'cluster_35',\n 'cluster_36', 'cluster_37', 'cluster_38', 'cluster_39', 'cluster_40',\n 'cluster_41', 'cluster_42', 'cluster_43', 'cluster_44', 'cluster_45',\n 'cluster_46', 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50',\n 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', 'cluster_55',\n 'cluster_56', 'cluster_57', 'cluster_58', 'cluster_59', 'cluster_60',\n 'cluster_61', 'cluster_62', 'cluster_63', 'cluster_64', 'cluster_65',\n 'cluster_66', 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70',\n 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', 'cluster_75',\n 'cluster_76', 'cluster_77', 'cluster_78', 'cluster_79', 'cluster_80',\n 'cluster_81', 'cluster_82', 'cluster_83', 'cluster_84', 'cluster_85',\n 'cluster_86', 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90',\n 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', 'cluster_95',\n 'cluster_96', 'cluster_97', 'cluster_98', 'cluster_99', 'cluster_100',\n 'cluster_101', 'cluster_102', 'cluster_103', 'cluster_104', 'cluster_105',\n 'cluster_106', 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110',\n 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', 'cluster_115',\n 'cluster_116', 'cluster_117', 'cluster_118', 'cluster_119', 'cluster_120',\n 'cluster_121', 'cluster_122', 'cluster_123', 'cluster_124', 'cluster_125',\n 'cluster_126', 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130',\n 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', 'cluster_135',\n 'cluster_136', 'cluster_137', 'cluster_138', 'cluster_139', 'cluster_140',\n 'cluster_141', 'cluster_142', 'cluster_143', 'cluster_144', 'cluster_145',\n 'cluster_146', 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150',\n 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', 'cluster_155',\n 'cluster_156', 'cluster_157', 'cluster_158', 'cluster_159', 'cluster_160',\n 'cluster_161', 'cluster_162', 'cluster_163', 'cluster_164', 'cluster_165',\n 'cluster_166', 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170',\n 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', 'cluster_175',\n 'cluster_176', 'cluster_177', 'cluster_178', 'cluster_179', 'cluster_180',\n 'cluster_181', 'cluster_182', 'cluster_183', 'cluster_184', 'cluster_185',\n 'cluster_186', 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190',\n 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', 'cluster_195',\n 'cluster_196', 'cluster_197', 'cluster_198', 'cluster_199', 'cluster_200',\n 'cluster_201', 'cluster_202', 'cluster_203', 'cluster_204', 'cluster_205',\n 'cluster_206', 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210',\n 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', 'cluster_215',\n 'cluster_216', 'cluster_217', 'cluster_218', 'cluster_219', 'cluster_220',\n 'cluster_221', 'cluster_222', 'cluster_223', 'cluster_224', 'cluster_225',\n 'cluster_226', 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230',\n 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', 'cluster_235',\n 'cluster_236', 'cluster_237', 'cluster_238', 'cluster_239', 'cluster_240',\n 'cluster_241', 'cluster_242', 'cluster_243', 'cluster_244', 'cluster_245',\n 'cluster_246', 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250',\n 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', 'cluster_255',\n 'cluster_256'\n]\noptimizer = dict(\n type='AdamW',\n lr=0.0002,\n weight_decay=0.0001,\n paramwise_cfg=dict(\n custom_keys=dict(backbone=dict(lr_mult=0, decay_mult=0))))\noptimizer_config = dict(grad_clip=dict(max_norm=0.1, norm_type=2))\nlr_config = dict(policy='step', step=[40])\nrunner = dict(type='EpochBasedRunner', max_epochs=50)\nwork_dir = 'work_dirs/selfsup_detr_cluster-ids-as-pseudo-labels'\nauto_resume = False\ngpu_ids = range(0, 32)\n", "seed": 42, "exp_name": "detr_pseudo_label.py", "hook_msgs": {}} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0002, 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11.94856, "time": 0.13478} +{"mode": "train", "epoch": 50, "iter": 1800, "lr": 2e-05, "memory": 4401, "data_time": 0.00447, "loss_cls": 1.83857, "loss_bbox": 0.71699, "loss_iou": 1.08468, "d0.loss_cls": 1.96697, "d0.loss_bbox": 0.7756, "d0.loss_iou": 1.15813, "d1.loss_cls": 1.9262, "d1.loss_bbox": 0.75379, "d1.loss_iou": 1.1301, "d2.loss_cls": 1.89237, "d2.loss_bbox": 0.73614, "d2.loss_iou": 1.10534, "d3.loss_cls": 1.8673, "d3.loss_bbox": 0.72589, "d3.loss_iou": 1.09462, "d4.loss_cls": 1.85132, "d4.loss_bbox": 0.71945, "d4.loss_iou": 1.08773, "loss": 22.4312, "grad_norm": 13.58012, "time": 0.13532} diff --git a/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/detr_pseudo_label.py b/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/detr_pseudo_label.py new file mode 100644 index 0000000000000000000000000000000000000000..f31fffc83d99a1f38597966ea4d89968f221e7f4 --- /dev/null +++ b/pretrain/selfsup_detr_cluster-ids-as-pseudo-labels/detr_pseudo_label.py @@ -0,0 +1,424 @@ +model = dict( + type='DETR', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(3, ), + frozen_stages=4, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch', + init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50')), + bbox_head=dict( + type='DETRHead', + num_classes=256, + in_channels=2048, + transformer=dict( + type='Transformer', + encoder=dict( + type='DetrTransformerEncoder', + num_layers=6, + transformerlayers=dict( + type='BaseTransformerLayer', + attn_cfgs=[ + dict( + type='MultiheadAttention', + embed_dims=256, + num_heads=8, + dropout=0.1) + ], + feedforward_channels=2048, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'ffn', 'norm'))), + decoder=dict( + type='DetrTransformerDecoder', + return_intermediate=True, + num_layers=6, + transformerlayers=dict( + type='DetrTransformerDecoderLayer', + attn_cfgs=dict( + type='MultiheadAttention', + embed_dims=256, + num_heads=8, + dropout=0.1), + feedforward_channels=2048, + ffn_dropout=0.1, + operation_order=('self_attn', 'norm', 'cross_attn', 'norm', + 'ffn', 'norm')))), + positional_encoding=dict( + type='SinePositionalEncoding', num_feats=128, normalize=True), + loss_cls=dict( + type='CrossEntropyLoss', + bg_cls_weight=0.1, + use_sigmoid=False, + loss_weight=1.0, + class_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=5.0), + loss_iou=dict(type='GIoULoss', loss_weight=2.0)), + train_cfg=dict( + assigner=dict( + type='HungarianAssigner', + cls_cost=dict(type='ClassificationCost', weight=1.0), + reg_cost=dict(type='BBoxL1Cost', weight=5.0, box_format='xywh'), + iou_cost=dict(type='IoUCost', iou_mode='giou', weight=2.0))), + test_cfg=dict(max_per_img=100)) +dataset_type = 'CocoDataset' +data_root = 'data/coco/' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict( + type='AutoAugment', + policies=[[{ + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), (544, 1333), (576, 1333), + (608, 1333), (640, 1333), (672, 1333), (704, 1333), + (736, 1333), (768, 1333), (800, 1333)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }], + [{ + 'type': 'Resize', + 'img_scale': [(400, 1333), (500, 1333), (600, 1333)], + 'multiscale_mode': 'value', + 'keep_ratio': True + }, { + 'type': 'RandomCrop', + 'crop_type': 'absolute_range', + 'crop_size': (384, 600), + 'allow_negative_crop': True + }, { + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), (544, 1333), + (576, 1333), (608, 1333), (640, 1333), + (672, 1333), (704, 1333), (736, 1333), + (768, 1333), (800, 1333)], + 'multiscale_mode': + 'value', + 'override': + True, + 'keep_ratio': + True + }]]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=1), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type='CocoDataset', + ann_file='train2017_ratio3size0008@0.5_cluster-id-as-class.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True), + dict(type='RandomFlip', flip_ratio=0.5), + dict( + type='AutoAugment', + policies=[[{ + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), (544, 1333), + (576, 1333), (608, 1333), (640, 1333), + (672, 1333), (704, 1333), (736, 1333), + (768, 1333), (800, 1333)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }], + [{ + 'type': 'Resize', + 'img_scale': [(400, 1333), (500, 1333), + (600, 1333)], + 'multiscale_mode': 'value', + 'keep_ratio': True + }, { + 'type': 'RandomCrop', + 'crop_type': 'absolute_range', + 'crop_size': (384, 600), + 'allow_negative_crop': True + }, { + 'type': + 'Resize', + 'img_scale': [(480, 1333), (512, 1333), + (544, 1333), (576, 1333), + (608, 1333), (640, 1333), + (672, 1333), (704, 1333), + (736, 1333), (768, 1333), + (800, 1333)], + 'multiscale_mode': + 'value', + 'override': + True, + 'keep_ratio': + True + }]]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=1), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) + ], + classes=[ + 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', + 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', + 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', + 'cluster_15', 'cluster_16', 'cluster_17', 'cluster_18', + 'cluster_19', 'cluster_20', 'cluster_21', 'cluster_22', + 'cluster_23', 'cluster_24', 'cluster_25', 'cluster_26', + 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', + 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', + 'cluster_35', 'cluster_36', 'cluster_37', 'cluster_38', + 'cluster_39', 'cluster_40', 'cluster_41', 'cluster_42', + 'cluster_43', 'cluster_44', 'cluster_45', 'cluster_46', + 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', + 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', + 'cluster_55', 'cluster_56', 'cluster_57', 'cluster_58', + 'cluster_59', 'cluster_60', 'cluster_61', 'cluster_62', + 'cluster_63', 'cluster_64', 'cluster_65', 'cluster_66', + 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', + 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', + 'cluster_75', 'cluster_76', 'cluster_77', 'cluster_78', + 'cluster_79', 'cluster_80', 'cluster_81', 'cluster_82', + 'cluster_83', 'cluster_84', 'cluster_85', 'cluster_86', + 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', + 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', + 'cluster_95', 'cluster_96', 'cluster_97', 'cluster_98', + 'cluster_99', 'cluster_100', 'cluster_101', 'cluster_102', + 'cluster_103', 'cluster_104', 'cluster_105', 'cluster_106', + 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', + 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', + 'cluster_115', 'cluster_116', 'cluster_117', 'cluster_118', + 'cluster_119', 'cluster_120', 'cluster_121', 'cluster_122', + 'cluster_123', 'cluster_124', 'cluster_125', 'cluster_126', + 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', + 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', + 'cluster_135', 'cluster_136', 'cluster_137', 'cluster_138', + 'cluster_139', 'cluster_140', 'cluster_141', 'cluster_142', + 'cluster_143', 'cluster_144', 'cluster_145', 'cluster_146', + 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', + 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', + 'cluster_155', 'cluster_156', 'cluster_157', 'cluster_158', + 'cluster_159', 'cluster_160', 'cluster_161', 'cluster_162', + 'cluster_163', 'cluster_164', 'cluster_165', 'cluster_166', + 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', + 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', + 'cluster_175', 'cluster_176', 'cluster_177', 'cluster_178', + 'cluster_179', 'cluster_180', 'cluster_181', 'cluster_182', + 'cluster_183', 'cluster_184', 'cluster_185', 'cluster_186', + 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', + 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', + 'cluster_195', 'cluster_196', 'cluster_197', 'cluster_198', + 'cluster_199', 'cluster_200', 'cluster_201', 'cluster_202', + 'cluster_203', 'cluster_204', 'cluster_205', 'cluster_206', + 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', + 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', + 'cluster_215', 'cluster_216', 'cluster_217', 'cluster_218', + 'cluster_219', 'cluster_220', 'cluster_221', 'cluster_222', + 'cluster_223', 'cluster_224', 'cluster_225', 'cluster_226', + 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', + 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', + 'cluster_235', 'cluster_236', 'cluster_237', 'cluster_238', + 'cluster_239', 'cluster_240', 'cluster_241', 'cluster_242', + 'cluster_243', 'cluster_244', 'cluster_245', 'cluster_246', + 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', + 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', + 'cluster_255', 'cluster_256' + ]), + val=dict( + type='CocoDataset', + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict( + interval=65535, metric='bbox', save_best='auto', gpu_collect=True) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='NumClassCheckHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='I2B', group='finetune'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=True, base_batch_size=64) +custom_imports = dict( + imports=[ + 'mmselfsup.datasets.pipelines', + 'selfsup.core.hook.momentum_update_hook', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.dense_heads.deformable_detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_deformable_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.assigners.hungarian_assigner', + 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +classes = [ + 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', + 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', + 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', 'cluster_15', + 'cluster_16', 'cluster_17', 'cluster_18', 'cluster_19', 'cluster_20', + 'cluster_21', 'cluster_22', 'cluster_23', 'cluster_24', 'cluster_25', + 'cluster_26', 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', + 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', 'cluster_35', + 'cluster_36', 'cluster_37', 'cluster_38', 'cluster_39', 'cluster_40', + 'cluster_41', 'cluster_42', 'cluster_43', 'cluster_44', 'cluster_45', + 'cluster_46', 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', + 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', 'cluster_55', + 'cluster_56', 'cluster_57', 'cluster_58', 'cluster_59', 'cluster_60', + 'cluster_61', 'cluster_62', 'cluster_63', 'cluster_64', 'cluster_65', + 'cluster_66', 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', + 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', 'cluster_75', + 'cluster_76', 'cluster_77', 'cluster_78', 'cluster_79', 'cluster_80', + 'cluster_81', 'cluster_82', 'cluster_83', 'cluster_84', 'cluster_85', + 'cluster_86', 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', + 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', 'cluster_95', + 'cluster_96', 'cluster_97', 'cluster_98', 'cluster_99', 'cluster_100', + 'cluster_101', 'cluster_102', 'cluster_103', 'cluster_104', 'cluster_105', + 'cluster_106', 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', + 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', 'cluster_115', + 'cluster_116', 'cluster_117', 'cluster_118', 'cluster_119', 'cluster_120', + 'cluster_121', 'cluster_122', 'cluster_123', 'cluster_124', 'cluster_125', + 'cluster_126', 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', + 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', 'cluster_135', + 'cluster_136', 'cluster_137', 'cluster_138', 'cluster_139', 'cluster_140', + 'cluster_141', 'cluster_142', 'cluster_143', 'cluster_144', 'cluster_145', + 'cluster_146', 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', + 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', 'cluster_155', + 'cluster_156', 'cluster_157', 'cluster_158', 'cluster_159', 'cluster_160', + 'cluster_161', 'cluster_162', 'cluster_163', 'cluster_164', 'cluster_165', + 'cluster_166', 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', + 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', 'cluster_175', + 'cluster_176', 'cluster_177', 'cluster_178', 'cluster_179', 'cluster_180', + 'cluster_181', 'cluster_182', 'cluster_183', 'cluster_184', 'cluster_185', + 'cluster_186', 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', + 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', 'cluster_195', + 'cluster_196', 'cluster_197', 'cluster_198', 'cluster_199', 'cluster_200', + 'cluster_201', 'cluster_202', 'cluster_203', 'cluster_204', 'cluster_205', + 'cluster_206', 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', + 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', 'cluster_215', + 'cluster_216', 'cluster_217', 'cluster_218', 'cluster_219', 'cluster_220', + 'cluster_221', 'cluster_222', 'cluster_223', 'cluster_224', 'cluster_225', + 'cluster_226', 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', + 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', 'cluster_235', + 'cluster_236', 'cluster_237', 'cluster_238', 'cluster_239', 'cluster_240', + 'cluster_241', 'cluster_242', 'cluster_243', 'cluster_244', 'cluster_245', + 'cluster_246', 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', + 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', 'cluster_255', + 'cluster_256' +] +optimizer = dict( + type='AdamW', + lr=0.0002, + weight_decay=0.0001, + paramwise_cfg=dict( + custom_keys=dict(backbone=dict(lr_mult=0, decay_mult=0)))) +optimizer_config = dict(grad_clip=dict(max_norm=0.1, norm_type=2)) +lr_config = dict(policy='step', step=[40]) +runner = dict(type='EpochBasedRunner', max_epochs=50) +work_dir = 'work_dirs/selfsup_detr_cluster-ids-as-pseudo-labels' +auto_resume = False +gpu_ids = range(0, 32) diff --git a/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/20230120_091015.log b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/20230120_091015.log new file mode 100644 index 0000000000000000000000000000000000000000..ba02f694a2dcb54a2537497660cbec5d75b74d3f --- /dev/null +++ b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/20230120_091015.log @@ -0,0 +1,3667 @@ +2023-01-20 09:10:15,675 - mmdet - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100 80GB PCIe +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.3, V11.3.109 +GCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0 +PyTorch: 1.10.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80 + - CuDNN 8.2.1 + - Built with CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.11.1+cu113 +OpenCV: 4.6.0 +MMCV: 1.6.2 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.3 +MMDetection: 2.26.0+17ad02c +------------------------------------------------------------ + +2023-01-20 09:10:17,611 - mmdet - INFO - Distributed training: True +2023-01-20 09:10:19,453 - mmdet - INFO - Config: +model = dict( + type='SelfSupDetector', + backbone=dict( + type='SelfSupMaskRCNN', + backbone=dict( + type='SwinTransformer', + embed_dims=128, + depths=[2, 2, 18, 2], + num_heads=[4, 8, 16, 32], + window_size=7, + mlp_ratio=4, + qkv_bias=True, + qk_scale=None, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.2, + patch_norm=True, + out_indices=(0, 1, 2, 3), + with_cp=False, + frozen_stages=4, + convert_weights=True, + init_cfg=dict( + type='Pretrained', + checkpoint= + 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22k.pth' + )), + neck=dict( + type='FPN', + in_channels=[128, 256, 512, 1024], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + roi_head=dict( + type='SelfSupStandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict( + type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='SelfSupShared4Conv1FCBBoxHead', + in_channels=256, + num_classes=256, + roi_feat_size=7, + reg_class_agnostic=False, + loss_bbox=dict(type='L1Loss', loss_weight=1.0), + loss_cls=dict( + type='ContrastiveLoss', loss_weight=1.0, temperature=0.5)), + mask_roi_extractor=None, + mask_head=None), + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1.0, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_pre=2000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=True, + ignore_iof_thr=-1, + gt_max_assign_all=False), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1, + neg_pos_ub=0, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False)), + test_cfg=dict( + rpn=dict( + nms_pre=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5)), + init_cfg=dict( + type='Pretrained', + checkpoint='pretrain/simmim_swin-b_mmselfsup-pretrain.pth'))) +train_dataset_type = 'MultiViewCocoDataset' +test_dataset_type = 'CocoDataset' +data_root = 'data/coco/' +classes = ['selective_search'] +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +load_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) +] +train_pipeline1 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +train_pipeline2 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=2, + train=dict( + type='MultiViewCocoDataset', + dataset=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file= + 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) + ]), + num_views=2, + pipelines=[[{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }], + [{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), + (1333, 736), (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }]]), + val=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict(interval=65535, gpu_collect=True, metric='bbox') +optimizer = dict( + type='AdamW', + lr=6e-05, + betas=(0.9, 0.999), + weight_decay=0.05, + paramwise_cfg=dict( + custom_keys=dict( + absolute_pos_embed=dict(decay_mult=0.0), + relative_position_bias_table=dict(decay_mult=0.0), + norm=dict(decay_mult=0.0)))) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='MomentumUpdateHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='I2B', group='pretrain'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=True, base_batch_size=32) +custom_imports = dict( + imports=[ + 'mmselfsup.datasets.pipelines', + 'selfsup.core.hook.momentum_update_hook', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.dense_heads.deformable_detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_deformable_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.assigners.hungarian_assigner', + 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22k.pth' +find_unused_parameters = True +work_dir = 'work_dirs/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain' +auto_resume = False +gpu_ids = range(0, 8) + +2023-01-20 09:10:19,453 - mmdet - INFO - Set random seed to 42, deterministic: False +2023-01-20 09:10:21,222 - mmdet - INFO - initialize SelfSupMaskRCNN with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/simmim_swin-b_mmselfsup-pretrain.pth'} +2023-01-20 09:10:21,516 - mmdet - INFO - initialize SelfSupMaskRCNN with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/simmim_swin-b_mmselfsup-pretrain.pth'} +Name of parameter - Initialization information + +online_backbone.backbone.patch_embed.projection.weight - torch.Size([128, 3, 4, 4]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.patch_embed.projection.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.patch_embed.norm.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.patch_embed.norm.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.norm1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.norm1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.weight - torch.Size([384, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.bias - torch.Size([384]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.weight - torch.Size([128, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.norm2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.norm2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.weight - torch.Size([512, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.ffn.layers.1.weight - torch.Size([128, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.0.ffn.layers.1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.norm1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.norm1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.weight - torch.Size([384, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.bias - torch.Size([384]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.weight - torch.Size([128, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.norm2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.norm2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.weight - torch.Size([512, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.ffn.layers.1.weight - torch.Size([128, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.blocks.1.ffn.layers.1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.downsample.norm.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.downsample.norm.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.0.downsample.reduction.weight - torch.Size([256, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.norm1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.norm1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.weight - torch.Size([768, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.bias - torch.Size([768]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.weight - torch.Size([256, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.norm2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.norm2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.weight - torch.Size([1024, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.ffn.layers.1.weight - torch.Size([256, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.0.ffn.layers.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.norm1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.norm1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.weight - torch.Size([768, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.bias - torch.Size([768]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.weight - torch.Size([256, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.norm2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.norm2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.weight - torch.Size([1024, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.ffn.layers.1.weight - torch.Size([256, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.blocks.1.ffn.layers.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.downsample.norm.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.downsample.norm.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.1.downsample.reduction.weight - torch.Size([512, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.0.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.1.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.2.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.3.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.4.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.5.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.6.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.7.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.8.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.9.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.10.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.11.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.12.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.13.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.14.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.15.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.16.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.blocks.17.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.downsample.norm.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.downsample.norm.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.2.downsample.reduction.weight - torch.Size([1024, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.norm1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.norm1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.bias - torch.Size([3072]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.norm2.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.norm2.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.weight - torch.Size([4096, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.bias - torch.Size([4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.ffn.layers.1.weight - torch.Size([1024, 4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.0.ffn.layers.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.norm1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.norm1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.bias - torch.Size([3072]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.norm2.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.norm2.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.weight - torch.Size([4096, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.bias - torch.Size([4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.ffn.layers.1.weight - torch.Size([1024, 4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.stages.3.blocks.1.ffn.layers.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.norm0.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.norm0.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.norm1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.norm1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.norm2.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.norm2.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.backbone.norm3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.backbone.norm3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +online_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 128, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 512, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.patch_embed.projection.weight - torch.Size([128, 3, 4, 4]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.patch_embed.projection.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.patch_embed.norm.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.patch_embed.norm.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.norm1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.norm1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.weight - torch.Size([384, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.attn.w_msa.qkv.bias - torch.Size([384]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.weight - torch.Size([128, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.attn.w_msa.proj.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.norm2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.norm2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.weight - torch.Size([512, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.ffn.layers.0.0.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.ffn.layers.1.weight - torch.Size([128, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.0.ffn.layers.1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.norm1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.norm1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 4]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.weight - torch.Size([384, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.attn.w_msa.qkv.bias - torch.Size([384]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.weight - torch.Size([128, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.attn.w_msa.proj.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.norm2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.norm2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.weight - torch.Size([512, 128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.ffn.layers.0.0.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.ffn.layers.1.weight - torch.Size([128, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.blocks.1.ffn.layers.1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.downsample.norm.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.downsample.norm.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.0.downsample.reduction.weight - torch.Size([256, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.norm1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.norm1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.weight - torch.Size([768, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.attn.w_msa.qkv.bias - torch.Size([768]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.weight - torch.Size([256, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.attn.w_msa.proj.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.norm2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.norm2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.weight - torch.Size([1024, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.ffn.layers.0.0.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.ffn.layers.1.weight - torch.Size([256, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.0.ffn.layers.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.norm1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.norm1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 8]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.weight - torch.Size([768, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.attn.w_msa.qkv.bias - torch.Size([768]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.weight - torch.Size([256, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.attn.w_msa.proj.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.norm2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.norm2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.weight - torch.Size([1024, 256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.ffn.layers.0.0.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.ffn.layers.1.weight - torch.Size([256, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.blocks.1.ffn.layers.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.downsample.norm.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.downsample.norm.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.1.downsample.reduction.weight - torch.Size([512, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.0.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.1.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.2.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.3.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.4.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.5.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.6.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.7.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.8.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.9.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.10.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.11.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.12.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.13.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.14.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.15.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.16.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.norm1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.norm1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.attn.w_msa.relative_position_bias_table - torch.Size([169, 16]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.weight - torch.Size([1536, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.attn.w_msa.qkv.bias - torch.Size([1536]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.weight - torch.Size([512, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.attn.w_msa.proj.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.norm2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.norm2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.weight - torch.Size([2048, 512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.ffn.layers.0.0.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.ffn.layers.1.weight - torch.Size([512, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.blocks.17.ffn.layers.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.downsample.norm.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.downsample.norm.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.2.downsample.reduction.weight - torch.Size([1024, 2048]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.norm1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.norm1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.attn.w_msa.qkv.bias - torch.Size([3072]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.attn.w_msa.proj.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.norm2.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.norm2.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.weight - torch.Size([4096, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.ffn.layers.0.0.bias - torch.Size([4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.ffn.layers.1.weight - torch.Size([1024, 4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.0.ffn.layers.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.norm1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.norm1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.attn.w_msa.relative_position_bias_table - torch.Size([169, 32]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.attn.w_msa.qkv.bias - torch.Size([3072]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.attn.w_msa.proj.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.norm2.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.norm2.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.weight - torch.Size([4096, 1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.ffn.layers.0.0.bias - torch.Size([4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.ffn.layers.1.weight - torch.Size([1024, 4096]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.stages.3.blocks.1.ffn.layers.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.norm0.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.norm0.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.norm1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.norm1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.norm2.weight - torch.Size([512]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.norm2.bias - torch.Size([512]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.backbone.norm3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.backbone.norm3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/simmim_swin-b_mmselfsup-pretrain.pth + +target_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 128, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 512, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of SelfSupDetector +2023-01-20 09:10:50,354 - mmdet - INFO - Training with 8 GPU(s) with 4 samples per GPU. The total batch size is 32. +2023-01-20 09:10:50,354 - mmdet - INFO - The batch size match the base batch size: 32, will not scaling the LR (6e-05). +2023-01-20 09:10:51,162 - mmdet - INFO - Start running, host: tiger@n176-118-024, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain +2023-01-20 09:10:51,162 - mmdet - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) MomentumUpdateHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) MomentumUpdateHook +(NORMAL ) MMDetWandbHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +2023-01-20 09:10:51,163 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs +2023-01-20 09:10:51,163 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain by HardDiskBackend. +2023-01-20 09:11:44,867 - mmdet - INFO - Epoch [1][50/3696] lr: 2.997e-06, eta: 12:25:46, time: 1.010, data_time: 0.071, memory: 5804, loss_rpn_cls: 0.3055, loss_rpn_bbox: 0.0909, loss_cls: 6.3495, loss_bbox: 2.9983, loss: 9.7443 +2023-01-20 09:12:29,287 - mmdet - INFO - Epoch [1][100/3696] lr: 5.994e-06, eta: 11:40:37, time: 0.890, data_time: 0.018, memory: 5804, loss_rpn_cls: 0.1489, loss_rpn_bbox: 0.0629, loss_cls: 6.3722, loss_bbox: 2.7391, loss: 9.3231 +2023-01-20 09:13:13,971 - mmdet - INFO - Epoch [1][150/3696] lr: 8.991e-06, eta: 11:26:00, time: 0.894, data_time: 0.016, memory: 5804, loss_rpn_cls: 0.1145, loss_rpn_bbox: 0.0546, loss_cls: 6.5859, loss_bbox: 3.0951, loss: 9.8501 +2023-01-20 09:13:59,150 - mmdet - INFO - Epoch [1][200/3696] lr: 1.199e-05, eta: 11:20:09, time: 0.904, data_time: 0.016, memory: 5804, loss_rpn_cls: 0.1078, loss_rpn_bbox: 0.0509, loss_cls: 6.6727, loss_bbox: 3.2260, loss: 10.0574 +2023-01-20 09:14:43,513 - mmdet - INFO - Epoch [1][250/3696] lr: 1.499e-05, eta: 11:13:55, time: 0.887, data_time: 0.017, memory: 5804, loss_rpn_cls: 0.1040, loss_rpn_bbox: 0.0468, loss_cls: 6.6959, loss_bbox: 3.2490, loss: 10.0957 +2023-01-20 09:15:27,757 - mmdet - INFO - Epoch [1][300/3696] lr: 1.798e-05, eta: 11:09:15, time: 0.885, data_time: 0.017, memory: 6225, loss_rpn_cls: 0.1015, loss_rpn_bbox: 0.0439, loss_cls: 6.6974, loss_bbox: 3.2523, loss: 10.0951 +2023-01-20 09:16:12,717 - mmdet - INFO - Epoch [1][350/3696] lr: 2.098e-05, eta: 11:07:12, time: 0.899, data_time: 0.017, memory: 7283, loss_rpn_cls: 0.0990, loss_rpn_bbox: 0.0420, loss_cls: 6.7325, loss_bbox: 3.2536, loss: 10.1271 +2023-01-20 09:16:57,518 - mmdet - INFO - Epoch [1][400/3696] lr: 2.398e-05, eta: 11:05:11, time: 0.896, data_time: 0.016, memory: 7483, loss_rpn_cls: 0.0953, loss_rpn_bbox: 0.0392, loss_cls: 6.7200, loss_bbox: 3.2664, loss: 10.1209 +2023-01-20 09:17:42,563 - mmdet - INFO - Epoch [1][450/3696] lr: 2.697e-05, eta: 11:03:50, time: 0.901, data_time: 0.017, memory: 7483, loss_rpn_cls: 0.0958, loss_rpn_bbox: 0.0390, loss_cls: 6.7265, loss_bbox: 3.2418, loss: 10.1030 +2023-01-20 09:18:27,542 - mmdet - INFO - Epoch [1][500/3696] lr: 2.997e-05, eta: 11:02:31, time: 0.900, data_time: 0.017, memory: 7601, loss_rpn_cls: 0.0938, loss_rpn_bbox: 0.0382, loss_cls: 6.7134, loss_bbox: 3.2462, loss: 10.0915 +2023-01-20 09:19:12,221 - mmdet - INFO - Epoch [1][550/3696] lr: 3.297e-05, eta: 11:00:55, time: 0.894, data_time: 0.016, memory: 7601, loss_rpn_cls: 0.0913, loss_rpn_bbox: 0.0361, loss_cls: 6.6717, loss_bbox: 3.2317, loss: 10.0308 +2023-01-20 09:19:57,243 - mmdet - INFO - Epoch [1][600/3696] lr: 3.596e-05, eta: 10:59:51, time: 0.900, data_time: 0.017, memory: 7601, loss_rpn_cls: 0.0891, loss_rpn_bbox: 0.0350, loss_cls: 6.6427, loss_bbox: 3.2483, loss: 10.0152 +2023-01-20 09:20:41,748 - mmdet - INFO - Epoch [1][650/3696] lr: 3.896e-05, eta: 10:58:16, time: 0.890, data_time: 0.017, memory: 7601, loss_rpn_cls: 0.0872, loss_rpn_bbox: 0.0341, loss_cls: 6.6351, loss_bbox: 3.2485, loss: 10.0049 +2023-01-20 09:21:26,832 - mmdet - INFO - Epoch [1][700/3696] lr: 4.196e-05, eta: 10:57:25, time: 0.902, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0867, loss_rpn_bbox: 0.0337, loss_cls: 6.6106, loss_bbox: 3.2263, loss: 9.9573 +2023-01-20 09:22:10,900 - mmdet - INFO - Epoch [1][750/3696] lr: 4.496e-05, eta: 10:55:35, time: 0.881, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0839, loss_rpn_bbox: 0.0320, loss_cls: 6.5669, loss_bbox: 3.2802, loss: 9.9631 +2023-01-20 09:22:55,479 - mmdet - INFO - Epoch [1][800/3696] lr: 4.795e-05, eta: 10:54:21, time: 0.892, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0836, loss_rpn_bbox: 0.0317, loss_cls: 6.5534, loss_bbox: 3.2578, loss: 9.9265 +2023-01-20 09:23:40,416 - mmdet - INFO - Epoch [1][850/3696] lr: 5.095e-05, eta: 10:53:29, time: 0.899, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0839, loss_rpn_bbox: 0.0316, loss_cls: 6.5305, loss_bbox: 3.2712, loss: 9.9172 +2023-01-20 09:24:24,521 - mmdet - INFO - Epoch [1][900/3696] lr: 5.395e-05, eta: 10:51:57, time: 0.882, data_time: 0.018, memory: 8611, loss_rpn_cls: 0.0805, loss_rpn_bbox: 0.0306, loss_cls: 6.5124, loss_bbox: 3.2691, loss: 9.8926 +2023-01-20 09:25:09,198 - mmdet - INFO - Epoch [1][950/3696] lr: 5.694e-05, eta: 10:50:57, time: 0.894, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0824, loss_rpn_bbox: 0.0309, loss_cls: 6.5169, loss_bbox: 3.2632, loss: 9.8935 +2023-01-20 09:25:53,939 - mmdet - INFO - Exp name: selfsup_mask-rcnn_swin-b_simmim.py +2023-01-20 09:25:53,939 - mmdet - INFO - Epoch [1][1000/3696] lr: 5.994e-05, eta: 10:50:01, time: 0.895, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0806, loss_rpn_bbox: 0.0303, loss_cls: 6.4921, loss_bbox: 3.2672, loss: 9.8702 +2023-01-20 09:26:39,358 - mmdet - INFO - Epoch [1][1050/3696] lr: 6.000e-05, eta: 10:49:34, time: 0.908, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0806, loss_rpn_bbox: 0.0304, loss_cls: 6.4976, loss_bbox: 3.2589, loss: 9.8675 +2023-01-20 09:27:23,806 - mmdet - INFO - Epoch [1][1100/3696] lr: 6.000e-05, eta: 10:48:27, time: 0.889, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0800, loss_rpn_bbox: 0.0299, loss_cls: 6.4832, loss_bbox: 3.2635, loss: 9.8566 +2023-01-20 09:28:08,714 - mmdet - INFO - Epoch [1][1150/3696] lr: 6.000e-05, eta: 10:47:39, time: 0.898, data_time: 0.017, memory: 8611, loss_rpn_cls: 0.0784, loss_rpn_bbox: 0.0291, loss_cls: 6.4529, loss_bbox: 3.2843, loss: 9.8447 +2023-01-20 09:28:54,224 - mmdet - INFO - Epoch [1][1200/3696] lr: 6.000e-05, eta: 10:47:14, time: 0.910, data_time: 0.018, memory: 8611, loss_rpn_cls: 0.0783, loss_rpn_bbox: 0.0294, loss_cls: 6.4572, loss_bbox: 3.2652, loss: 9.8302 +2023-01-20 09:29:38,745 - mmdet - INFO - Epoch [1][1250/3696] lr: 6.000e-05, eta: 10:46:12, time: 0.890, data_time: 0.017, memory: 8668, loss_rpn_cls: 0.0771, loss_rpn_bbox: 0.0285, loss_cls: 6.4241, loss_bbox: 3.2958, loss: 9.8256 +2023-01-20 09:30:24,089 - mmdet - INFO - Epoch [1][1300/3696] lr: 6.000e-05, eta: 10:45:39, time: 0.907, data_time: 0.016, memory: 8668, loss_rpn_cls: 0.0770, loss_rpn_bbox: 0.0293, loss_cls: 6.4485, loss_bbox: 3.2595, loss: 9.8144 +2023-01-20 09:31:08,643 - mmdet - INFO - Epoch [1][1350/3696] lr: 6.000e-05, eta: 10:44:40, time: 0.891, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0768, loss_rpn_bbox: 0.0285, loss_cls: 6.4079, loss_bbox: 3.2862, loss: 9.7993 +2023-01-20 09:31:53,242 - mmdet - INFO - Epoch [1][1400/3696] lr: 6.000e-05, eta: 10:43:44, time: 0.892, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0760, loss_rpn_bbox: 0.0284, loss_cls: 6.4148, loss_bbox: 3.2837, loss: 9.8030 +2023-01-20 09:32:38,073 - mmdet - INFO - Epoch [1][1450/3696] lr: 6.000e-05, eta: 10:42:55, time: 0.897, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0764, loss_rpn_bbox: 0.0284, loss_cls: 6.4213, loss_bbox: 3.2747, loss: 9.8007 +2023-01-20 09:33:22,696 - mmdet - INFO - Epoch [1][1500/3696] lr: 6.000e-05, eta: 10:42:01, time: 0.892, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0762, loss_rpn_bbox: 0.0281, loss_cls: 6.3980, loss_bbox: 3.2743, loss: 9.7766 +2023-01-20 09:34:07,905 - mmdet - INFO - Epoch [1][1550/3696] lr: 6.000e-05, eta: 10:41:23, time: 0.904, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0756, loss_rpn_bbox: 0.0282, loss_cls: 6.3914, loss_bbox: 3.2647, loss: 9.7599 +2023-01-20 09:34:52,778 - mmdet - INFO - Epoch [1][1600/3696] lr: 6.000e-05, eta: 10:40:36, time: 0.897, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0748, loss_rpn_bbox: 0.0276, loss_cls: 6.3818, loss_bbox: 3.2654, loss: 9.7495 +2023-01-20 09:35:37,709 - mmdet - INFO - Epoch [1][1650/3696] lr: 6.000e-05, eta: 10:39:50, time: 0.899, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0768, loss_rpn_bbox: 0.0283, loss_cls: 6.3842, loss_bbox: 3.2570, loss: 9.7463 +2023-01-20 09:36:22,029 - mmdet - INFO - Epoch [1][1700/3696] lr: 6.000e-05, eta: 10:38:49, time: 0.886, data_time: 0.017, memory: 8771, loss_rpn_cls: 0.0750, loss_rpn_bbox: 0.0277, loss_cls: 6.3670, loss_bbox: 3.2639, loss: 9.7337 +2023-01-20 09:37:07,082 - mmdet - INFO - Epoch [1][1750/3696] lr: 6.000e-05, eta: 10:38:07, time: 0.901, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0745, loss_rpn_bbox: 0.0278, loss_cls: 6.3807, loss_bbox: 3.2383, loss: 9.7214 +2023-01-20 09:37:51,900 - mmdet - INFO - Epoch [1][1800/3696] lr: 6.000e-05, eta: 10:37:20, time: 0.896, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0733, loss_rpn_bbox: 0.0272, loss_cls: 6.3625, loss_bbox: 3.2557, loss: 9.7187 +2023-01-20 09:38:36,594 - mmdet - INFO - Epoch [1][1850/3696] lr: 6.000e-05, eta: 10:36:29, time: 0.894, data_time: 0.016, memory: 8917, loss_rpn_cls: 0.0735, loss_rpn_bbox: 0.0277, loss_cls: 6.3829, loss_bbox: 3.2336, loss: 9.7176 +2023-01-20 09:39:21,613 - mmdet - INFO - Epoch [1][1900/3696] lr: 6.000e-05, eta: 10:35:46, time: 0.901, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0733, loss_rpn_bbox: 0.0271, loss_cls: 6.3714, loss_bbox: 3.2297, loss: 9.7015 +2023-01-20 09:40:06,322 - mmdet - INFO - Epoch [1][1950/3696] lr: 6.000e-05, eta: 10:34:57, time: 0.894, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0722, loss_rpn_bbox: 0.0268, loss_cls: 6.3410, loss_bbox: 3.2306, loss: 9.6707 +2023-01-20 09:40:50,389 - mmdet - INFO - Exp name: selfsup_mask-rcnn_swin-b_simmim.py +2023-01-20 09:40:50,390 - mmdet - INFO - Epoch [1][2000/3696] lr: 6.000e-05, eta: 10:33:53, time: 0.881, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0720, loss_rpn_bbox: 0.0266, loss_cls: 6.3375, loss_bbox: 3.2500, loss: 9.6861 +2023-01-20 09:41:35,176 - mmdet - INFO - Epoch [1][2050/3696] lr: 6.000e-05, eta: 10:33:06, time: 0.896, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0731, loss_rpn_bbox: 0.0271, loss_cls: 6.3493, loss_bbox: 3.2227, loss: 9.6722 +2023-01-20 09:42:20,395 - mmdet - INFO - Epoch [1][2100/3696] lr: 6.000e-05, eta: 10:32:28, time: 0.904, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0744, loss_rpn_bbox: 0.0279, loss_cls: 6.3592, loss_bbox: 3.1851, loss: 9.6466 +2023-01-20 09:43:05,198 - mmdet - INFO - Epoch [1][2150/3696] lr: 6.000e-05, eta: 10:31:41, time: 0.896, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0723, loss_rpn_bbox: 0.0271, loss_cls: 6.3442, loss_bbox: 3.2105, loss: 9.6541 +2023-01-20 09:43:50,154 - mmdet - INFO - Epoch [1][2200/3696] lr: 6.000e-05, eta: 10:30:57, time: 0.899, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0713, loss_rpn_bbox: 0.0264, loss_cls: 6.3388, loss_bbox: 3.1981, loss: 9.6347 +2023-01-20 09:44:34,956 - mmdet - INFO - Epoch [1][2250/3696] lr: 6.000e-05, eta: 10:30:10, time: 0.896, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0710, loss_rpn_bbox: 0.0262, loss_cls: 6.3316, loss_bbox: 3.2003, loss: 9.6291 +2023-01-20 09:45:19,282 - mmdet - INFO - Epoch [1][2300/3696] lr: 6.000e-05, eta: 10:29:15, time: 0.887, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0717, loss_rpn_bbox: 0.0264, loss_cls: 6.3170, loss_bbox: 3.2026, loss: 9.6177 +2023-01-20 09:46:04,084 - mmdet - INFO - Epoch [1][2350/3696] lr: 6.000e-05, eta: 10:28:28, time: 0.896, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0720, loss_rpn_bbox: 0.0268, loss_cls: 6.3334, loss_bbox: 3.1738, loss: 9.6060 +2023-01-20 09:46:49,251 - mmdet - INFO - Epoch [1][2400/3696] lr: 6.000e-05, eta: 10:27:48, time: 0.903, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0724, loss_rpn_bbox: 0.0270, loss_cls: 6.3282, loss_bbox: 3.1498, loss: 9.5773 +2023-01-20 09:47:33,815 - mmdet - INFO - Epoch [1][2450/3696] lr: 6.000e-05, eta: 10:26:57, time: 0.891, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0718, loss_rpn_bbox: 0.0266, loss_cls: 6.3354, loss_bbox: 3.1779, loss: 9.6118 +2023-01-20 09:48:18,943 - mmdet - INFO - Epoch [1][2500/3696] lr: 6.000e-05, eta: 10:26:17, time: 0.903, data_time: 0.017, memory: 8917, loss_rpn_cls: 0.0713, loss_rpn_bbox: 0.0264, loss_cls: 6.3257, loss_bbox: 3.1631, loss: 9.5864 +2023-01-20 09:49:04,552 - mmdet - INFO - Epoch [1][2550/3696] lr: 6.000e-05, eta: 10:25:43, time: 0.912, data_time: 0.017, memory: 9619, loss_rpn_cls: 0.0719, loss_rpn_bbox: 0.0267, loss_cls: 6.3189, loss_bbox: 3.1513, loss: 9.5688 +2023-01-20 09:49:50,314 - mmdet - INFO - Epoch [1][2600/3696] lr: 6.000e-05, eta: 10:25:12, time: 0.915, data_time: 0.017, memory: 9619, loss_rpn_cls: 0.0729, loss_rpn_bbox: 0.0271, loss_cls: 6.3360, loss_bbox: 3.1421, loss: 9.5781 +2023-01-20 09:50:35,413 - mmdet - INFO - Epoch [1][2650/3696] lr: 6.000e-05, eta: 10:24:30, time: 0.902, data_time: 0.017, memory: 9619, loss_rpn_cls: 0.0707, loss_rpn_bbox: 0.0262, loss_cls: 6.3142, loss_bbox: 3.1647, loss: 9.5758 +2023-01-20 09:51:20,209 - mmdet - INFO - Epoch [1][2700/3696] lr: 6.000e-05, eta: 10:23:43, time: 0.896, data_time: 0.017, memory: 9619, loss_rpn_cls: 0.0713, loss_rpn_bbox: 0.0262, loss_cls: 6.3188, loss_bbox: 3.1438, loss: 9.5602 +2023-01-20 09:52:04,942 - mmdet - INFO - Epoch [1][2750/3696] lr: 6.000e-05, eta: 10:22:55, time: 0.895, data_time: 0.016, memory: 9619, loss_rpn_cls: 0.0722, loss_rpn_bbox: 0.0268, loss_cls: 6.3379, loss_bbox: 3.1195, loss: 9.5564 +2023-01-20 09:52:50,170 - mmdet - INFO - Epoch [1][2800/3696] lr: 6.000e-05, eta: 10:22:15, time: 0.905, data_time: 0.016, memory: 9921, loss_rpn_cls: 0.0716, loss_rpn_bbox: 0.0266, loss_cls: 6.3235, loss_bbox: 3.1235, loss: 9.5452 +2023-01-20 09:53:35,157 - mmdet - INFO - Epoch [1][2850/3696] lr: 6.000e-05, eta: 10:21:31, time: 0.900, data_time: 0.017, memory: 9921, loss_rpn_cls: 0.0694, loss_rpn_bbox: 0.0259, loss_cls: 6.3129, loss_bbox: 3.1442, loss: 9.5523 +2023-01-20 09:54:20,618 - mmdet - INFO - Epoch [1][2900/3696] lr: 6.000e-05, eta: 10:20:54, time: 0.909, data_time: 0.017, memory: 9921, loss_rpn_cls: 0.0723, loss_rpn_bbox: 0.0272, loss_cls: 6.3327, loss_bbox: 3.1098, loss: 9.5420 +2023-01-20 09:55:04,925 - mmdet - INFO - Epoch [1][2950/3696] lr: 6.000e-05, eta: 10:20:00, time: 0.886, data_time: 0.017, memory: 9921, loss_rpn_cls: 0.0699, loss_rpn_bbox: 0.0255, loss_cls: 6.2911, loss_bbox: 3.1393, loss: 9.5258 +2023-01-20 09:55:50,368 - mmdet - INFO - Exp name: selfsup_mask-rcnn_swin-b_simmim.py +2023-01-20 09:55:50,369 - mmdet - INFO - Epoch [1][3000/3696] lr: 6.000e-05, eta: 10:19:22, time: 0.909, data_time: 0.016, memory: 9921, loss_rpn_cls: 0.0700, loss_rpn_bbox: 0.0260, loss_cls: 6.3010, loss_bbox: 3.1194, loss: 9.5164 +2023-01-20 09:56:36,055 - mmdet - INFO - Epoch [1][3050/3696] lr: 6.000e-05, eta: 10:18:47, time: 0.914, data_time: 0.017, memory: 9921, loss_rpn_cls: 0.0690, loss_rpn_bbox: 0.0259, loss_cls: 6.2963, loss_bbox: 3.1104, loss: 9.5016 +2023-01-20 09:57:21,410 - mmdet - INFO - Epoch [1][3100/3696] lr: 6.000e-05, eta: 10:18:08, time: 0.907, data_time: 0.017, memory: 9921, loss_rpn_cls: 0.0712, loss_rpn_bbox: 0.0267, loss_cls: 6.3241, loss_bbox: 3.1131, loss: 9.5350 +2023-01-20 09:58:06,301 - mmdet - INFO - Epoch [1][3150/3696] lr: 6.000e-05, eta: 10:17:22, time: 0.898, data_time: 0.016, memory: 9921, loss_rpn_cls: 0.0696, loss_rpn_bbox: 0.0258, loss_cls: 6.3020, loss_bbox: 3.1410, loss: 9.5384 +2023-01-20 09:58:51,031 - mmdet - INFO - Epoch [1][3200/3696] lr: 6.000e-05, eta: 10:16:34, time: 0.895, data_time: 0.016, memory: 9921, loss_rpn_cls: 0.0692, loss_rpn_bbox: 0.0256, loss_cls: 6.2827, loss_bbox: 3.1143, loss: 9.4918 +2023-01-20 09:59:35,417 - mmdet - INFO - Epoch [1][3250/3696] lr: 6.000e-05, eta: 10:15:42, time: 0.888, data_time: 0.017, memory: 9921, loss_rpn_cls: 0.0683, loss_rpn_bbox: 0.0252, loss_cls: 6.2841, loss_bbox: 3.1339, loss: 9.5116 +2023-01-20 10:00:20,125 - mmdet - INFO - Epoch [1][3300/3696] lr: 6.000e-05, eta: 10:14:54, time: 0.894, data_time: 0.016, memory: 9921, loss_rpn_cls: 0.0689, loss_rpn_bbox: 0.0252, loss_cls: 6.2843, loss_bbox: 3.1360, loss: 9.5144 +2023-01-20 10:01:05,260 - mmdet - INFO - Epoch [1][3350/3696] lr: 6.000e-05, eta: 10:14:12, time: 0.903, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0692, loss_rpn_bbox: 0.0256, loss_cls: 6.2909, loss_bbox: 3.1130, loss: 9.4987 +2023-01-20 10:01:49,969 - mmdet - INFO - Epoch [1][3400/3696] lr: 6.000e-05, eta: 10:13:24, time: 0.894, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0690, loss_rpn_bbox: 0.0257, loss_cls: 6.2882, loss_bbox: 3.1023, loss: 9.4852 +2023-01-20 10:02:35,132 - mmdet - INFO - Epoch [1][3450/3696] lr: 6.000e-05, eta: 10:12:42, time: 0.903, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0701, loss_rpn_bbox: 0.0265, loss_cls: 6.3271, loss_bbox: 3.1052, loss: 9.5289 +2023-01-20 10:03:19,709 - mmdet - INFO - Epoch [1][3500/3696] lr: 6.000e-05, eta: 10:11:53, time: 0.892, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0683, loss_rpn_bbox: 0.0254, loss_cls: 6.2836, loss_bbox: 3.1299, loss: 9.5072 +2023-01-20 10:04:05,044 - mmdet - INFO - Epoch [1][3550/3696] lr: 6.000e-05, eta: 10:11:12, time: 0.907, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0687, loss_rpn_bbox: 0.0255, loss_cls: 6.2916, loss_bbox: 3.1065, loss: 9.4923 +2023-01-20 10:04:50,701 - mmdet - INFO - Epoch [1][3600/3696] lr: 6.000e-05, eta: 10:10:35, time: 0.913, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0693, loss_rpn_bbox: 0.0259, loss_cls: 6.3023, loss_bbox: 3.0950, loss: 9.4924 +2023-01-20 10:05:36,697 - mmdet - INFO - Epoch [1][3650/3696] lr: 6.000e-05, eta: 10:10:02, time: 0.920, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0698, loss_rpn_bbox: 0.0262, loss_cls: 6.3052, loss_bbox: 3.0922, loss: 9.4934 +2023-01-20 10:06:18,433 - mmdet - INFO - Saving checkpoint at 1 epochs +2023-01-20 10:07:09,387 - mmdet - INFO - Epoch [2][50/3696] lr: 6.000e-05, eta: 10:01:40, time: 0.960, data_time: 0.076, memory: 10680, loss_rpn_cls: 0.0688, loss_rpn_bbox: 0.0255, loss_cls: 6.2872, loss_bbox: 3.1086, loss: 9.4900 +2023-01-20 10:07:53,907 - mmdet - INFO - Epoch [2][100/3696] lr: 6.000e-05, eta: 10:00:56, time: 0.890, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0667, loss_rpn_bbox: 0.0246, loss_cls: 6.2717, loss_bbox: 3.1128, loss: 9.4759 +2023-01-20 10:08:38,629 - mmdet - INFO - Epoch [2][150/3696] lr: 6.000e-05, eta: 10:00:15, time: 0.894, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0690, loss_rpn_bbox: 0.0260, loss_cls: 6.3156, loss_bbox: 3.1068, loss: 9.5173 +2023-01-20 10:09:24,137 - mmdet - INFO - Epoch [2][200/3696] lr: 6.000e-05, eta: 9:59:41, time: 0.910, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0688, loss_rpn_bbox: 0.0261, loss_cls: 6.3108, loss_bbox: 3.0838, loss: 9.4894 +2023-01-20 10:10:09,192 - mmdet - INFO - Epoch [2][250/3696] lr: 6.000e-05, eta: 9:59:03, time: 0.901, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0687, loss_rpn_bbox: 0.0257, loss_cls: 6.2911, loss_bbox: 3.0875, loss: 9.4731 +2023-01-20 10:10:53,791 - mmdet - INFO - Epoch [2][300/3696] lr: 6.000e-05, eta: 9:58:19, time: 0.892, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0681, loss_rpn_bbox: 0.0254, loss_cls: 6.2820, loss_bbox: 3.1077, loss: 9.4832 +2023-01-20 10:11:38,776 - mmdet - INFO - Epoch [2][350/3696] lr: 6.000e-05, eta: 9:57:40, time: 0.900, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0689, loss_rpn_bbox: 0.0259, loss_cls: 6.3019, loss_bbox: 3.0923, loss: 9.4890 +2023-01-20 10:12:28,418 - mmdet - INFO - Epoch [2][400/3696] lr: 6.000e-05, eta: 9:57:46, time: 0.993, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0690, loss_rpn_bbox: 0.0257, loss_cls: 6.2941, loss_bbox: 3.0877, loss: 9.4766 +2023-01-20 10:13:24,648 - mmdet - INFO - Epoch [2][450/3696] lr: 6.000e-05, eta: 9:58:55, time: 1.125, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0702, loss_rpn_bbox: 0.0264, loss_cls: 6.3131, loss_bbox: 3.0716, loss: 9.4813 +2023-01-20 10:14:09,236 - mmdet - INFO - Epoch [2][500/3696] lr: 6.000e-05, eta: 9:58:09, time: 0.892, data_time: 0.017, memory: 10680, loss_rpn_cls: 0.0685, loss_rpn_bbox: 0.0255, loss_cls: 6.2814, loss_bbox: 3.0971, loss: 9.4725 +2023-01-20 10:14:56,995 - mmdet - INFO - Epoch [2][550/3696] lr: 6.000e-05, eta: 9:57:54, time: 0.955, data_time: 0.018, memory: 10680, loss_rpn_cls: 0.0689, loss_rpn_bbox: 0.0260, loss_cls: 6.3141, loss_bbox: 3.0839, loss: 9.4928 +2023-01-20 10:15:43,207 - mmdet - INFO - Epoch [2][600/3696] lr: 6.000e-05, eta: 9:57:23, time: 0.924, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0689, loss_rpn_bbox: 0.0257, loss_cls: 6.2886, loss_bbox: 3.0804, loss: 9.4637 +2023-01-20 10:16:28,260 - mmdet - INFO - Epoch [2][650/3696] lr: 6.000e-05, eta: 9:56:41, time: 0.901, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0669, loss_rpn_bbox: 0.0250, loss_cls: 6.2810, loss_bbox: 3.1064, loss: 9.4793 +2023-01-20 10:17:13,326 - mmdet - INFO - Epoch [2][700/3696] lr: 6.000e-05, eta: 9:55:59, time: 0.901, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0671, loss_rpn_bbox: 0.0251, loss_cls: 6.2863, loss_bbox: 3.0927, loss: 9.4712 +2023-01-20 10:17:58,046 - mmdet - INFO - Epoch [2][750/3696] lr: 6.000e-05, eta: 9:55:14, time: 0.894, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0671, loss_rpn_bbox: 0.0253, loss_cls: 6.2807, loss_bbox: 3.1044, loss: 9.4774 +2023-01-20 10:18:43,595 - mmdet - INFO - Epoch [2][800/3696] lr: 6.000e-05, eta: 9:54:36, time: 0.911, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0676, loss_rpn_bbox: 0.0254, loss_cls: 6.2793, loss_bbox: 3.0807, loss: 9.4530 +2023-01-20 10:19:28,342 - mmdet - INFO - Epoch [2][850/3696] lr: 6.000e-05, eta: 9:53:52, time: 0.895, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0668, loss_rpn_bbox: 0.0253, loss_cls: 6.2829, loss_bbox: 3.0993, loss: 9.4743 +2023-01-20 10:20:13,743 - mmdet - INFO - Epoch [2][900/3696] lr: 6.000e-05, eta: 9:53:12, time: 0.908, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0673, loss_rpn_bbox: 0.0254, loss_cls: 6.2924, loss_bbox: 3.0883, loss: 9.4734 +2023-01-20 10:20:58,809 - mmdet - INFO - Epoch [2][950/3696] lr: 6.000e-05, eta: 9:52:30, time: 0.901, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0678, loss_rpn_bbox: 0.0256, loss_cls: 6.2976, loss_bbox: 3.0787, loss: 9.4697 +2023-01-20 10:21:43,489 - mmdet - INFO - Epoch [2][1000/3696] lr: 6.000e-05, eta: 9:51:45, time: 0.894, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0668, loss_rpn_bbox: 0.0249, loss_cls: 6.2827, loss_bbox: 3.0997, loss: 9.4741 +2023-01-20 10:22:28,980 - mmdet - INFO - Epoch [2][1050/3696] lr: 6.000e-05, eta: 9:51:06, time: 0.910, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0674, loss_rpn_bbox: 0.0254, loss_cls: 6.2902, loss_bbox: 3.0767, loss: 9.4597 +2023-01-20 10:23:14,153 - mmdet - INFO - Epoch [2][1100/3696] lr: 6.000e-05, eta: 9:50:24, time: 0.903, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0665, loss_rpn_bbox: 0.0250, loss_cls: 6.2838, loss_bbox: 3.0818, loss: 9.4571 +2023-01-20 10:23:59,364 - mmdet - INFO - Epoch [2][1150/3696] lr: 6.000e-05, eta: 9:49:43, time: 0.904, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0665, loss_rpn_bbox: 0.0250, loss_cls: 6.2874, loss_bbox: 3.0838, loss: 9.4627 +2023-01-20 10:24:43,845 - mmdet - INFO - Epoch [2][1200/3696] lr: 6.000e-05, eta: 9:48:56, time: 0.890, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0662, loss_rpn_bbox: 0.0247, loss_cls: 6.2721, loss_bbox: 3.0991, loss: 9.4620 +2023-01-20 10:25:28,480 - mmdet - INFO - Epoch [2][1250/3696] lr: 6.000e-05, eta: 9:48:10, time: 0.893, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0664, loss_rpn_bbox: 0.0247, loss_cls: 6.2767, loss_bbox: 3.0964, loss: 9.4643 +2023-01-20 10:26:13,074 - mmdet - INFO - Epoch [2][1300/3696] lr: 6.000e-05, eta: 9:47:24, time: 0.892, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0657, loss_rpn_bbox: 0.0250, loss_cls: 6.2942, loss_bbox: 3.1028, loss: 9.4878 +2023-01-20 10:26:58,118 - mmdet - INFO - Epoch [2][1350/3696] lr: 6.000e-05, eta: 9:46:41, time: 0.901, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0666, loss_rpn_bbox: 0.0248, loss_cls: 6.2745, loss_bbox: 3.0890, loss: 9.4549 +2023-01-20 10:27:42,621 - mmdet - INFO - Epoch [2][1400/3696] lr: 6.000e-05, eta: 9:45:54, time: 0.890, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0656, loss_rpn_bbox: 0.0247, loss_cls: 6.2717, loss_bbox: 3.0951, loss: 9.4572 +2023-01-20 10:28:27,131 - mmdet - INFO - Epoch [2][1450/3696] lr: 6.000e-05, eta: 9:45:07, time: 0.890, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0674, loss_rpn_bbox: 0.0251, loss_cls: 6.2979, loss_bbox: 3.0838, loss: 9.4742 +2023-01-20 10:29:12,976 - mmdet - INFO - Epoch [2][1500/3696] lr: 6.000e-05, eta: 9:44:31, time: 0.917, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0673, loss_rpn_bbox: 0.0256, loss_cls: 6.2954, loss_bbox: 3.0603, loss: 9.4487 +2023-01-20 10:29:58,980 - mmdet - INFO - Epoch [2][1550/3696] lr: 6.000e-05, eta: 9:43:55, time: 0.920, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0675, loss_rpn_bbox: 0.0257, loss_cls: 6.2990, loss_bbox: 3.0584, loss: 9.4506 +2023-01-20 10:30:44,212 - mmdet - INFO - Epoch [2][1600/3696] lr: 6.000e-05, eta: 9:43:13, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0669, loss_rpn_bbox: 0.0254, loss_cls: 6.2912, loss_bbox: 3.0745, loss: 9.4580 +2023-01-20 10:31:29,724 - mmdet - INFO - Epoch [2][1650/3696] lr: 6.000e-05, eta: 9:42:34, time: 0.910, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0668, loss_rpn_bbox: 0.0253, loss_cls: 6.2832, loss_bbox: 3.0662, loss: 9.4416 +2023-01-20 10:32:15,481 - mmdet - INFO - Epoch [2][1700/3696] lr: 6.000e-05, eta: 9:41:56, time: 0.915, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0676, loss_rpn_bbox: 0.0252, loss_cls: 6.2817, loss_bbox: 3.0658, loss: 9.4404 +2023-01-20 10:33:00,830 - mmdet - INFO - Epoch [2][1750/3696] lr: 6.000e-05, eta: 9:41:15, time: 0.907, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0672, loss_rpn_bbox: 0.0252, loss_cls: 6.2910, loss_bbox: 3.0617, loss: 9.4452 +2023-01-20 10:33:46,495 - mmdet - INFO - Epoch [2][1800/3696] lr: 6.000e-05, eta: 9:40:36, time: 0.913, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0674, loss_rpn_bbox: 0.0255, loss_cls: 6.2903, loss_bbox: 3.0460, loss: 9.4292 +2023-01-20 10:34:31,144 - mmdet - INFO - Epoch [2][1850/3696] lr: 6.000e-05, eta: 9:39:50, time: 0.893, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0661, loss_rpn_bbox: 0.0247, loss_cls: 6.2749, loss_bbox: 3.0877, loss: 9.4535 +2023-01-20 10:35:16,140 - mmdet - INFO - Epoch [2][1900/3696] lr: 6.000e-05, eta: 9:39:06, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0662, loss_rpn_bbox: 0.0249, loss_cls: 6.2853, loss_bbox: 3.0650, loss: 9.4414 +2023-01-20 10:36:01,398 - mmdet - INFO - Epoch [2][1950/3696] lr: 6.000e-05, eta: 9:38:24, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0670, loss_rpn_bbox: 0.0255, loss_cls: 6.2928, loss_bbox: 3.0694, loss: 9.4546 +2023-01-20 10:36:47,003 - mmdet - INFO - Epoch [2][2000/3696] lr: 6.000e-05, eta: 9:37:45, time: 0.912, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0665, loss_rpn_bbox: 0.0251, loss_cls: 6.2781, loss_bbox: 3.0639, loss: 9.4335 +2023-01-20 10:37:32,450 - mmdet - INFO - Epoch [2][2050/3696] lr: 6.000e-05, eta: 9:37:04, time: 0.909, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0660, loss_rpn_bbox: 0.0253, loss_cls: 6.2924, loss_bbox: 3.0649, loss: 9.4486 +2023-01-20 10:38:17,311 - mmdet - INFO - Epoch [2][2100/3696] lr: 6.000e-05, eta: 9:36:19, time: 0.897, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0659, loss_rpn_bbox: 0.0249, loss_cls: 6.2816, loss_bbox: 3.0746, loss: 9.4470 +2023-01-20 10:39:02,513 - mmdet - INFO - Epoch [2][2150/3696] lr: 6.000e-05, eta: 9:35:37, time: 0.904, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0653, loss_rpn_bbox: 0.0251, loss_cls: 6.2751, loss_bbox: 3.0747, loss: 9.4402 +2023-01-20 10:39:47,880 - mmdet - INFO - Epoch [2][2200/3696] lr: 6.000e-05, eta: 9:34:55, time: 0.907, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0661, loss_rpn_bbox: 0.0251, loss_cls: 6.2901, loss_bbox: 3.0546, loss: 9.4359 +2023-01-20 10:40:32,805 - mmdet - INFO - Epoch [2][2250/3696] lr: 6.000e-05, eta: 9:34:11, time: 0.899, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0670, loss_rpn_bbox: 0.0250, loss_cls: 6.2812, loss_bbox: 3.0720, loss: 9.4452 +2023-01-20 10:41:17,447 - mmdet - INFO - Epoch [2][2300/3696] lr: 6.000e-05, eta: 9:33:25, time: 0.893, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0646, loss_rpn_bbox: 0.0246, loss_cls: 6.2840, loss_bbox: 3.0862, loss: 9.4595 +2023-01-20 10:42:03,270 - mmdet - INFO - Epoch [2][2350/3696] lr: 6.000e-05, eta: 9:32:46, time: 0.916, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0662, loss_rpn_bbox: 0.0253, loss_cls: 6.2959, loss_bbox: 3.0488, loss: 9.4362 +2023-01-20 10:42:48,766 - mmdet - INFO - Epoch [2][2400/3696] lr: 6.000e-05, eta: 9:32:05, time: 0.910, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0666, loss_rpn_bbox: 0.0252, loss_cls: 6.2831, loss_bbox: 3.0535, loss: 9.4284 +2023-01-20 10:43:33,971 - mmdet - INFO - Epoch [2][2450/3696] lr: 6.000e-05, eta: 9:31:23, time: 0.904, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0650, loss_rpn_bbox: 0.0249, loss_cls: 6.2854, loss_bbox: 3.0727, loss: 9.4480 +2023-01-20 10:44:18,588 - mmdet - INFO - Epoch [2][2500/3696] lr: 6.000e-05, eta: 9:30:36, time: 0.892, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0662, loss_rpn_bbox: 0.0249, loss_cls: 6.2829, loss_bbox: 3.0714, loss: 9.4453 +2023-01-20 10:45:03,502 - mmdet - INFO - Epoch [2][2550/3696] lr: 6.000e-05, eta: 9:29:52, time: 0.898, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0651, loss_rpn_bbox: 0.0250, loss_cls: 6.2940, loss_bbox: 3.0660, loss: 9.4502 +2023-01-20 10:45:48,373 - mmdet - INFO - Epoch [2][2600/3696] lr: 6.000e-05, eta: 9:29:07, time: 0.897, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0657, loss_rpn_bbox: 0.0247, loss_cls: 6.2790, loss_bbox: 3.0723, loss: 9.4417 +2023-01-20 10:46:34,252 - mmdet - INFO - Epoch [2][2650/3696] lr: 6.000e-05, eta: 9:28:28, time: 0.918, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0663, loss_rpn_bbox: 0.0251, loss_cls: 6.2832, loss_bbox: 3.0582, loss: 9.4328 +2023-01-20 10:47:18,896 - mmdet - INFO - Epoch [2][2700/3696] lr: 6.000e-05, eta: 9:27:42, time: 0.893, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0248, loss_cls: 6.2832, loss_bbox: 3.0741, loss: 9.4468 +2023-01-20 10:48:04,493 - mmdet - INFO - Epoch [2][2750/3696] lr: 6.000e-05, eta: 9:27:01, time: 0.912, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0663, loss_rpn_bbox: 0.0254, loss_cls: 6.2931, loss_bbox: 3.0553, loss: 9.4401 +2023-01-20 10:48:49,772 - mmdet - INFO - Epoch [2][2800/3696] lr: 6.000e-05, eta: 9:26:19, time: 0.906, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0654, loss_rpn_bbox: 0.0251, loss_cls: 6.2869, loss_bbox: 3.0521, loss: 9.4294 +2023-01-20 10:49:34,452 - mmdet - INFO - Epoch [2][2850/3696] lr: 6.000e-05, eta: 9:25:33, time: 0.894, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0655, loss_rpn_bbox: 0.0248, loss_cls: 6.2866, loss_bbox: 3.0630, loss: 9.4398 +2023-01-20 10:50:19,583 - mmdet - INFO - Epoch [2][2900/3696] lr: 6.000e-05, eta: 9:24:49, time: 0.903, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0658, loss_rpn_bbox: 0.0251, loss_cls: 6.2882, loss_bbox: 3.0589, loss: 9.4380 +2023-01-20 10:51:04,412 - mmdet - INFO - Epoch [2][2950/3696] lr: 6.000e-05, eta: 9:24:04, time: 0.897, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0651, loss_rpn_bbox: 0.0248, loss_cls: 6.2781, loss_bbox: 3.0658, loss: 9.4338 +2023-01-20 10:51:49,661 - mmdet - INFO - Epoch [2][3000/3696] lr: 6.000e-05, eta: 9:23:21, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0655, loss_rpn_bbox: 0.0250, loss_cls: 6.2795, loss_bbox: 3.0577, loss: 9.4276 +2023-01-20 10:52:34,828 - mmdet - INFO - Epoch [2][3050/3696] lr: 6.000e-05, eta: 9:22:38, time: 0.903, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0653, loss_rpn_bbox: 0.0248, loss_cls: 6.2813, loss_bbox: 3.0504, loss: 9.4218 +2023-01-20 10:53:19,923 - mmdet - INFO - Epoch [2][3100/3696] lr: 6.000e-05, eta: 9:21:54, time: 0.902, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0657, loss_rpn_bbox: 0.0250, loss_cls: 6.2872, loss_bbox: 3.0564, loss: 9.4343 +2023-01-20 10:54:05,231 - mmdet - INFO - Epoch [2][3150/3696] lr: 6.000e-05, eta: 9:21:12, time: 0.906, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0653, loss_rpn_bbox: 0.0251, loss_cls: 6.2931, loss_bbox: 3.0507, loss: 9.4342 +2023-01-20 10:54:50,214 - mmdet - INFO - Epoch [2][3200/3696] lr: 6.000e-05, eta: 9:20:27, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0646, loss_rpn_bbox: 0.0245, loss_cls: 6.2759, loss_bbox: 3.0729, loss: 9.4380 +2023-01-20 10:55:34,963 - mmdet - INFO - Epoch [2][3250/3696] lr: 6.000e-05, eta: 9:19:42, time: 0.895, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0634, loss_rpn_bbox: 0.0241, loss_cls: 6.2671, loss_bbox: 3.0784, loss: 9.4331 +2023-01-20 10:56:20,165 - mmdet - INFO - Epoch [2][3300/3696] lr: 6.000e-05, eta: 9:18:58, time: 0.904, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0655, loss_rpn_bbox: 0.0252, loss_cls: 6.2870, loss_bbox: 3.0296, loss: 9.4073 +2023-01-20 10:57:04,855 - mmdet - INFO - Epoch [2][3350/3696] lr: 6.000e-05, eta: 9:18:12, time: 0.894, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0651, loss_rpn_bbox: 0.0247, loss_cls: 6.2810, loss_bbox: 3.0528, loss: 9.4235 +2023-01-20 10:57:50,086 - mmdet - INFO - Epoch [2][3400/3696] lr: 6.000e-05, eta: 9:17:29, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0660, loss_rpn_bbox: 0.0251, loss_cls: 6.2797, loss_bbox: 3.0509, loss: 9.4217 +2023-01-20 10:58:34,886 - mmdet - INFO - Epoch [2][3450/3696] lr: 6.000e-05, eta: 9:16:44, time: 0.896, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0662, loss_rpn_bbox: 0.0253, loss_cls: 6.3020, loss_bbox: 3.0625, loss: 9.4561 +2023-01-20 10:59:19,601 - mmdet - INFO - Epoch [2][3500/3696] lr: 6.000e-05, eta: 9:15:58, time: 0.894, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0242, loss_cls: 6.2729, loss_bbox: 3.0752, loss: 9.4361 +2023-01-20 11:00:04,631 - mmdet - INFO - Epoch [2][3550/3696] lr: 6.000e-05, eta: 9:15:14, time: 0.901, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0633, loss_rpn_bbox: 0.0240, loss_cls: 6.2492, loss_bbox: 3.0746, loss: 9.4111 +2023-01-20 11:00:49,882 - mmdet - INFO - Epoch [2][3600/3696] lr: 6.000e-05, eta: 9:14:31, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0249, loss_cls: 6.2788, loss_bbox: 3.0358, loss: 9.4042 +2023-01-20 11:01:35,385 - mmdet - INFO - Epoch [2][3650/3696] lr: 6.000e-05, eta: 9:13:49, time: 0.910, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0656, loss_rpn_bbox: 0.0252, loss_cls: 6.2868, loss_bbox: 3.0403, loss: 9.4179 +2023-01-20 11:02:16,632 - mmdet - INFO - Saving checkpoint at 2 epochs +2023-01-20 11:03:07,766 - mmdet - INFO - Epoch [3][50/3696] lr: 6.000e-05, eta: 9:09:13, time: 0.960, data_time: 0.073, memory: 11338, loss_rpn_cls: 0.0667, loss_rpn_bbox: 0.0256, loss_cls: 6.2949, loss_bbox: 3.0381, loss: 9.4252 +2023-01-20 11:03:52,710 - mmdet - INFO - Epoch [3][100/3696] lr: 6.000e-05, eta: 9:08:30, time: 0.899, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0635, loss_rpn_bbox: 0.0243, loss_cls: 6.2681, loss_bbox: 3.0604, loss: 9.4163 +2023-01-20 11:04:37,604 - mmdet - INFO - Epoch [3][150/3696] lr: 6.000e-05, eta: 9:07:47, time: 0.898, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0638, loss_rpn_bbox: 0.0245, loss_cls: 6.2823, loss_bbox: 3.0544, loss: 9.4250 +2023-01-20 11:05:22,861 - mmdet - INFO - Epoch [3][200/3696] lr: 6.000e-05, eta: 9:07:05, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0641, loss_rpn_bbox: 0.0249, loss_cls: 6.2849, loss_bbox: 3.0537, loss: 9.4276 +2023-01-20 11:06:07,881 - mmdet - INFO - Epoch [3][250/3696] lr: 6.000e-05, eta: 9:06:22, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0644, loss_rpn_bbox: 0.0249, loss_cls: 6.2844, loss_bbox: 3.0460, loss: 9.4196 +2023-01-20 11:06:53,324 - mmdet - INFO - Epoch [3][300/3696] lr: 6.000e-05, eta: 9:05:41, time: 0.909, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0642, loss_rpn_bbox: 0.0247, loss_cls: 6.2826, loss_bbox: 3.0435, loss: 9.4151 +2023-01-20 11:07:38,848 - mmdet - INFO - Epoch [3][350/3696] lr: 6.000e-05, eta: 9:05:01, time: 0.911, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0645, loss_rpn_bbox: 0.0247, loss_cls: 6.2778, loss_bbox: 3.0435, loss: 9.4105 +2023-01-20 11:08:24,984 - mmdet - INFO - Epoch [3][400/3696] lr: 6.000e-05, eta: 9:04:23, time: 0.923, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0647, loss_rpn_bbox: 0.0252, loss_cls: 6.2949, loss_bbox: 3.0130, loss: 9.3978 +2023-01-20 11:09:09,745 - mmdet - INFO - Epoch [3][450/3696] lr: 6.000e-05, eta: 9:03:39, time: 0.895, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0638, loss_rpn_bbox: 0.0246, loss_cls: 6.2815, loss_bbox: 3.0503, loss: 9.4202 +2023-01-20 11:09:54,732 - mmdet - INFO - Epoch [3][500/3696] lr: 6.000e-05, eta: 9:02:56, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0245, loss_cls: 6.2755, loss_bbox: 3.0574, loss: 9.4210 +2023-01-20 11:10:40,082 - mmdet - INFO - Epoch [3][550/3696] lr: 6.000e-05, eta: 9:02:14, time: 0.907, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0643, loss_rpn_bbox: 0.0249, loss_cls: 6.2945, loss_bbox: 3.0430, loss: 9.4267 +2023-01-20 11:11:24,904 - mmdet - INFO - Epoch [3][600/3696] lr: 6.000e-05, eta: 9:01:30, time: 0.896, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0631, loss_rpn_bbox: 0.0242, loss_cls: 6.2705, loss_bbox: 3.0568, loss: 9.4146 +2023-01-20 11:12:09,975 - mmdet - INFO - Epoch [3][650/3696] lr: 6.000e-05, eta: 9:00:47, time: 0.901, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0643, loss_rpn_bbox: 0.0253, loss_cls: 6.3077, loss_bbox: 3.0438, loss: 9.4412 +2023-01-20 11:12:54,964 - mmdet - INFO - Epoch [3][700/3696] lr: 6.000e-05, eta: 9:00:04, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0638, loss_rpn_bbox: 0.0244, loss_cls: 6.2736, loss_bbox: 3.0621, loss: 9.4239 +2023-01-20 11:13:39,847 - mmdet - INFO - Epoch [3][750/3696] lr: 6.000e-05, eta: 8:59:20, time: 0.897, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0628, loss_rpn_bbox: 0.0241, loss_cls: 6.2624, loss_bbox: 3.0528, loss: 9.4021 +2023-01-20 11:14:25,440 - mmdet - INFO - Epoch [3][800/3696] lr: 6.000e-05, eta: 8:58:39, time: 0.912, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0641, loss_rpn_bbox: 0.0247, loss_cls: 6.2754, loss_bbox: 3.0285, loss: 9.3927 +2023-01-20 11:15:10,374 - mmdet - INFO - Epoch [3][850/3696] lr: 6.000e-05, eta: 8:57:56, time: 0.899, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0241, loss_cls: 6.2574, loss_bbox: 3.0539, loss: 9.3992 +2023-01-20 11:15:55,360 - mmdet - INFO - Epoch [3][900/3696] lr: 6.000e-05, eta: 8:57:12, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0248, loss_cls: 6.2775, loss_bbox: 3.0524, loss: 9.4184 +2023-01-20 11:16:40,616 - mmdet - INFO - Epoch [3][950/3696] lr: 6.000e-05, eta: 8:56:30, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0639, loss_rpn_bbox: 0.0250, loss_cls: 6.2872, loss_bbox: 3.0438, loss: 9.4199 +2023-01-20 11:17:25,732 - mmdet - INFO - Epoch [3][1000/3696] lr: 6.000e-05, eta: 8:55:47, time: 0.902, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0646, loss_rpn_bbox: 0.0248, loss_cls: 6.2764, loss_bbox: 3.0407, loss: 9.4065 +2023-01-20 11:18:10,966 - mmdet - INFO - Epoch [3][1050/3696] lr: 6.000e-05, eta: 8:55:05, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0638, loss_rpn_bbox: 0.0245, loss_cls: 6.2810, loss_bbox: 3.0438, loss: 9.4132 +2023-01-20 11:18:56,070 - mmdet - INFO - Epoch [3][1100/3696] lr: 6.000e-05, eta: 8:54:22, time: 0.902, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0646, loss_rpn_bbox: 0.0247, loss_cls: 6.2827, loss_bbox: 3.0398, loss: 9.4119 +2023-01-20 11:19:41,260 - mmdet - INFO - Epoch [3][1150/3696] lr: 6.000e-05, eta: 8:53:39, time: 0.904, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0251, loss_cls: 6.2903, loss_bbox: 3.0356, loss: 9.4158 +2023-01-20 11:20:26,286 - mmdet - INFO - Epoch [3][1200/3696] lr: 6.000e-05, eta: 8:52:56, time: 0.901, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0629, loss_rpn_bbox: 0.0243, loss_cls: 6.2769, loss_bbox: 3.0488, loss: 9.4128 +2023-01-20 11:21:11,610 - mmdet - INFO - Epoch [3][1250/3696] lr: 6.000e-05, eta: 8:52:14, time: 0.906, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0245, loss_cls: 6.2773, loss_bbox: 3.0505, loss: 9.4161 +2023-01-20 11:21:56,296 - mmdet - INFO - Epoch [3][1300/3696] lr: 6.000e-05, eta: 8:51:29, time: 0.894, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0247, loss_cls: 6.2801, loss_bbox: 3.0381, loss: 9.4067 +2023-01-20 11:22:41,795 - mmdet - INFO - Epoch [3][1350/3696] lr: 6.000e-05, eta: 8:50:47, time: 0.910, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0252, loss_cls: 6.2912, loss_bbox: 3.0265, loss: 9.4077 +2023-01-20 11:23:26,809 - mmdet - INFO - Epoch [3][1400/3696] lr: 6.000e-05, eta: 8:50:04, time: 0.900, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0647, loss_rpn_bbox: 0.0250, loss_cls: 6.2913, loss_bbox: 3.0413, loss: 9.4223 +2023-01-20 11:24:11,796 - mmdet - INFO - Epoch [3][1450/3696] lr: 6.000e-05, eta: 8:49:20, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0640, loss_rpn_bbox: 0.0249, loss_cls: 6.2896, loss_bbox: 3.0328, loss: 9.4112 +2023-01-20 11:24:57,026 - mmdet - INFO - Epoch [3][1500/3696] lr: 6.000e-05, eta: 8:48:37, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0639, loss_rpn_bbox: 0.0249, loss_cls: 6.2916, loss_bbox: 3.0337, loss: 9.4141 +2023-01-20 11:25:42,031 - mmdet - INFO - Epoch [3][1550/3696] lr: 6.000e-05, eta: 8:47:54, time: 0.900, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0629, loss_rpn_bbox: 0.0242, loss_cls: 6.2685, loss_bbox: 3.0330, loss: 9.3885 +2023-01-20 11:26:27,239 - mmdet - INFO - Epoch [3][1600/3696] lr: 6.000e-05, eta: 8:47:11, time: 0.904, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0245, loss_cls: 6.2921, loss_bbox: 3.0501, loss: 9.4298 +2023-01-20 11:27:12,793 - mmdet - INFO - Epoch [3][1650/3696] lr: 6.000e-05, eta: 8:46:29, time: 0.911, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0641, loss_rpn_bbox: 0.0247, loss_cls: 6.2770, loss_bbox: 3.0227, loss: 9.3884 +2023-01-20 11:27:57,300 - mmdet - INFO - Epoch [3][1700/3696] lr: 6.000e-05, eta: 8:45:44, time: 0.890, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0642, loss_rpn_bbox: 0.0250, loss_cls: 6.2896, loss_bbox: 3.0294, loss: 9.4082 +2023-01-20 11:28:42,130 - mmdet - INFO - Epoch [3][1750/3696] lr: 6.000e-05, eta: 8:44:59, time: 0.897, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0641, loss_rpn_bbox: 0.0245, loss_cls: 6.2827, loss_bbox: 3.0445, loss: 9.4159 +2023-01-20 11:29:26,953 - mmdet - INFO - Epoch [3][1800/3696] lr: 6.000e-05, eta: 8:44:15, time: 0.896, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0241, loss_cls: 6.2704, loss_bbox: 3.0560, loss: 9.4129 +2023-01-20 11:30:11,875 - mmdet - INFO - Epoch [3][1850/3696] lr: 6.000e-05, eta: 8:43:31, time: 0.898, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0631, loss_rpn_bbox: 0.0242, loss_cls: 6.2768, loss_bbox: 3.0458, loss: 9.4100 +2023-01-20 11:30:56,878 - mmdet - INFO - Epoch [3][1900/3696] lr: 6.000e-05, eta: 8:42:47, time: 0.900, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0639, loss_rpn_bbox: 0.0246, loss_cls: 6.2809, loss_bbox: 3.0328, loss: 9.4022 +2023-01-20 11:31:41,744 - mmdet - INFO - Epoch [3][1950/3696] lr: 6.000e-05, eta: 8:42:03, time: 0.898, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0241, loss_cls: 6.2735, loss_bbox: 3.0480, loss: 9.4076 +2023-01-20 11:32:27,212 - mmdet - INFO - Epoch [3][2000/3696] lr: 6.000e-05, eta: 8:41:21, time: 0.909, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0645, loss_rpn_bbox: 0.0250, loss_cls: 6.2801, loss_bbox: 3.0277, loss: 9.3972 +2023-01-20 11:33:11,664 - mmdet - INFO - Epoch [3][2050/3696] lr: 6.000e-05, eta: 8:40:35, time: 0.889, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0239, loss_cls: 6.2558, loss_bbox: 3.0429, loss: 9.3852 +2023-01-20 11:33:57,355 - mmdet - INFO - Epoch [3][2100/3696] lr: 6.000e-05, eta: 8:39:54, time: 0.914, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0644, loss_rpn_bbox: 0.0254, loss_cls: 6.2968, loss_bbox: 3.0160, loss: 9.4025 +2023-01-20 11:34:43,553 - mmdet - INFO - Epoch [3][2150/3696] lr: 6.000e-05, eta: 8:39:15, time: 0.924, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0634, loss_rpn_bbox: 0.0249, loss_cls: 6.2804, loss_bbox: 3.0120, loss: 9.3808 +2023-01-20 11:35:29,008 - mmdet - INFO - Epoch [3][2200/3696] lr: 6.000e-05, eta: 8:38:32, time: 0.909, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0247, loss_cls: 6.2823, loss_bbox: 3.0244, loss: 9.3944 +2023-01-20 11:36:14,337 - mmdet - INFO - Epoch [3][2250/3696] lr: 6.000e-05, eta: 8:37:50, time: 0.907, data_time: 0.018, memory: 11338, loss_rpn_cls: 0.0638, loss_rpn_bbox: 0.0248, loss_cls: 6.2849, loss_bbox: 3.0283, loss: 9.4018 +2023-01-20 11:36:59,797 - mmdet - INFO - Epoch [3][2300/3696] lr: 6.000e-05, eta: 8:37:07, time: 0.909, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0246, loss_cls: 6.2672, loss_bbox: 3.0316, loss: 9.3863 +2023-01-20 11:37:45,033 - mmdet - INFO - Epoch [3][2350/3696] lr: 6.000e-05, eta: 8:36:24, time: 0.905, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0629, loss_rpn_bbox: 0.0244, loss_cls: 6.2732, loss_bbox: 3.0381, loss: 9.3985 +2023-01-20 11:38:29,953 - mmdet - INFO - Epoch [3][2400/3696] lr: 6.000e-05, eta: 8:35:40, time: 0.898, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0243, loss_cls: 6.2653, loss_bbox: 3.0317, loss: 9.3844 +2023-01-20 11:39:15,478 - mmdet - INFO - Epoch [3][2450/3696] lr: 6.000e-05, eta: 8:34:58, time: 0.911, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0637, loss_rpn_bbox: 0.0245, loss_cls: 6.2690, loss_bbox: 3.0183, loss: 9.3755 +2023-01-20 11:39:59,682 - mmdet - INFO - Epoch [3][2500/3696] lr: 6.000e-05, eta: 8:34:11, time: 0.884, data_time: 0.017, memory: 11338, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0240, loss_cls: 6.2679, loss_bbox: 3.0561, loss: 9.4096 +2023-01-20 11:40:44,756 - mmdet - INFO - Epoch [3][2550/3696] lr: 6.000e-05, eta: 8:33:28, time: 0.901, data_time: 0.017, memory: 11969, loss_rpn_cls: 0.0627, loss_rpn_bbox: 0.0245, loss_cls: 6.2739, loss_bbox: 3.0335, loss: 9.3946 +2023-01-20 11:41:30,266 - mmdet - INFO - Epoch [3][2600/3696] lr: 6.000e-05, eta: 8:32:45, time: 0.910, data_time: 0.018, memory: 11969, loss_rpn_cls: 0.0635, loss_rpn_bbox: 0.0246, loss_cls: 6.2758, loss_bbox: 3.0294, loss: 9.3933 +2023-01-20 11:42:15,115 - mmdet - INFO - Epoch [3][2650/3696] lr: 6.000e-05, eta: 8:32:01, time: 0.897, data_time: 0.017, memory: 11969, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0239, loss_cls: 6.2660, loss_bbox: 3.0428, loss: 9.3945 +2023-01-20 11:42:59,818 - mmdet - INFO - Epoch [3][2700/3696] lr: 6.000e-05, eta: 8:31:16, time: 0.894, data_time: 0.018, memory: 11969, loss_rpn_cls: 0.0620, loss_rpn_bbox: 0.0242, loss_cls: 6.2753, loss_bbox: 3.0491, loss: 9.4106 +2023-01-20 11:43:45,242 - mmdet - INFO - Epoch [3][2750/3696] lr: 6.000e-05, eta: 8:30:33, time: 0.908, data_time: 0.017, memory: 11969, loss_rpn_cls: 0.0623, loss_rpn_bbox: 0.0241, loss_cls: 6.2686, loss_bbox: 3.0294, loss: 9.3844 +2023-01-20 11:44:30,559 - mmdet - INFO - Epoch [3][2800/3696] lr: 6.000e-05, eta: 8:29:50, time: 0.906, data_time: 0.017, memory: 11969, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0250, loss_cls: 6.2880, loss_bbox: 3.0301, loss: 9.4067 +2023-01-20 11:45:15,577 - mmdet - INFO - Epoch [3][2850/3696] lr: 6.000e-05, eta: 8:29:06, time: 0.900, data_time: 0.018, memory: 11969, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0243, loss_cls: 6.2763, loss_bbox: 3.0275, loss: 9.3901 +2023-01-20 11:46:00,564 - mmdet - INFO - Epoch [3][2900/3696] lr: 6.000e-05, eta: 8:28:22, time: 0.900, data_time: 0.017, memory: 11969, loss_rpn_cls: 0.0628, loss_rpn_bbox: 0.0243, loss_cls: 6.2664, loss_bbox: 3.0414, loss: 9.3949 +2023-01-20 11:46:46,185 - mmdet - INFO - Epoch [3][2950/3696] lr: 6.000e-05, eta: 8:27:40, time: 0.912, data_time: 0.018, memory: 11969, loss_rpn_cls: 0.0633, loss_rpn_bbox: 0.0248, loss_cls: 6.2878, loss_bbox: 3.0150, loss: 9.3909 +2023-01-20 11:47:31,713 - mmdet - INFO - Epoch [3][3000/3696] lr: 6.000e-05, eta: 8:26:58, time: 0.911, data_time: 0.017, memory: 11969, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0245, loss_cls: 6.2815, loss_bbox: 3.0299, loss: 9.3981 +2023-01-20 11:48:17,265 - mmdet - INFO - Epoch [3][3050/3696] lr: 6.000e-05, eta: 8:26:16, time: 0.911, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0246, loss_cls: 6.2802, loss_bbox: 3.0240, loss: 9.3909 +2023-01-20 11:49:03,192 - mmdet - INFO - Epoch [3][3100/3696] lr: 6.000e-05, eta: 8:25:35, time: 0.919, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0249, loss_cls: 6.2879, loss_bbox: 3.0210, loss: 9.3967 +2023-01-20 11:49:49,323 - mmdet - INFO - Epoch [3][3150/3696] lr: 6.000e-05, eta: 8:24:54, time: 0.923, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0632, loss_rpn_bbox: 0.0247, loss_cls: 6.2873, loss_bbox: 3.0007, loss: 9.3758 +2023-01-20 11:50:34,484 - mmdet - INFO - Epoch [3][3200/3696] lr: 6.000e-05, eta: 8:24:10, time: 0.903, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0632, loss_rpn_bbox: 0.0245, loss_cls: 6.2731, loss_bbox: 3.0242, loss: 9.3851 +2023-01-20 11:51:19,851 - mmdet - INFO - Epoch [3][3250/3696] lr: 6.000e-05, eta: 8:23:27, time: 0.907, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0634, loss_rpn_bbox: 0.0249, loss_cls: 6.2815, loss_bbox: 3.0170, loss: 9.3868 +2023-01-20 11:52:05,473 - mmdet - INFO - Epoch [3][3300/3696] lr: 6.000e-05, eta: 8:22:45, time: 0.912, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0243, loss_cls: 6.2683, loss_bbox: 3.0174, loss: 9.3721 +2023-01-20 11:52:50,798 - mmdet - INFO - Epoch [3][3350/3696] lr: 6.000e-05, eta: 8:22:02, time: 0.907, data_time: 0.018, memory: 12346, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0246, loss_cls: 6.2767, loss_bbox: 3.0198, loss: 9.3835 +2023-01-20 11:53:36,008 - mmdet - INFO - Epoch [3][3400/3696] lr: 6.000e-05, eta: 8:21:18, time: 0.904, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0244, loss_cls: 6.2737, loss_bbox: 3.0116, loss: 9.3717 +2023-01-20 11:54:21,834 - mmdet - INFO - Epoch [3][3450/3696] lr: 6.000e-05, eta: 8:20:37, time: 0.917, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0632, loss_rpn_bbox: 0.0247, loss_cls: 6.2772, loss_bbox: 3.0176, loss: 9.3827 +2023-01-20 11:55:07,490 - mmdet - INFO - Epoch [3][3500/3696] lr: 6.000e-05, eta: 8:19:55, time: 0.913, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0246, loss_cls: 6.2851, loss_bbox: 3.0165, loss: 9.3887 +2023-01-20 11:55:52,443 - mmdet - INFO - Epoch [3][3550/3696] lr: 6.000e-05, eta: 8:19:10, time: 0.899, data_time: 0.018, memory: 12346, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0240, loss_cls: 6.2571, loss_bbox: 3.0350, loss: 9.3776 +2023-01-20 11:56:38,063 - mmdet - INFO - Epoch [3][3600/3696] lr: 6.000e-05, eta: 8:18:28, time: 0.912, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0243, loss_cls: 6.2703, loss_bbox: 3.0239, loss: 9.3801 +2023-01-20 11:57:23,505 - mmdet - INFO - Epoch [3][3650/3696] lr: 6.000e-05, eta: 8:17:45, time: 0.909, data_time: 0.018, memory: 12346, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0246, loss_cls: 6.2847, loss_bbox: 3.0173, loss: 9.3893 +2023-01-20 11:58:05,391 - mmdet - INFO - Saving checkpoint at 3 epochs +2023-01-20 11:58:56,040 - mmdet - INFO - Epoch [4][50/3696] lr: 6.000e-05, eta: 8:14:23, time: 0.949, data_time: 0.073, memory: 12346, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0245, loss_cls: 6.2754, loss_bbox: 3.0139, loss: 9.3757 +2023-01-20 11:59:41,544 - mmdet - INFO - Epoch [4][100/3696] lr: 6.000e-05, eta: 8:13:41, time: 0.910, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0627, loss_rpn_bbox: 0.0246, loss_cls: 6.2799, loss_bbox: 3.0070, loss: 9.3743 +2023-01-20 12:00:26,930 - mmdet - INFO - Epoch [4][150/3696] lr: 6.000e-05, eta: 8:12:59, time: 0.908, data_time: 0.018, memory: 12346, loss_rpn_cls: 0.0635, loss_rpn_bbox: 0.0249, loss_cls: 6.2851, loss_bbox: 3.0118, loss: 9.3854 +2023-01-20 12:01:12,231 - mmdet - INFO - Epoch [4][200/3696] lr: 6.000e-05, eta: 8:12:16, time: 0.906, data_time: 0.018, memory: 12346, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0240, loss_cls: 6.2602, loss_bbox: 3.0223, loss: 9.3678 +2023-01-20 12:01:57,006 - mmdet - INFO - Epoch [4][250/3696] lr: 6.000e-05, eta: 8:11:32, time: 0.895, data_time: 0.017, memory: 12346, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0243, loss_cls: 6.2670, loss_bbox: 3.0261, loss: 9.3800 +2023-01-20 12:02:42,427 - mmdet - INFO - Epoch [4][300/3696] lr: 6.000e-05, eta: 8:10:49, time: 0.909, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0242, loss_cls: 6.2700, loss_bbox: 3.0258, loss: 9.3814 +2023-01-20 12:03:27,660 - mmdet - INFO - Epoch [4][350/3696] lr: 6.000e-05, eta: 8:10:06, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0623, loss_rpn_bbox: 0.0241, loss_cls: 6.2629, loss_bbox: 3.0195, loss: 9.3688 +2023-01-20 12:04:13,578 - mmdet - INFO - Epoch [4][400/3696] lr: 6.000e-05, eta: 8:09:25, time: 0.918, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0245, loss_cls: 6.2733, loss_bbox: 2.9985, loss: 9.3587 +2023-01-20 12:04:58,550 - mmdet - INFO - Epoch [4][450/3696] lr: 6.000e-05, eta: 8:08:41, time: 0.899, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0243, loss_cls: 6.2674, loss_bbox: 3.0174, loss: 9.3704 +2023-01-20 12:05:43,955 - mmdet - INFO - Epoch [4][500/3696] lr: 6.000e-05, eta: 8:07:59, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0247, loss_cls: 6.2784, loss_bbox: 3.0071, loss: 9.3724 +2023-01-20 12:06:28,603 - mmdet - INFO - Epoch [4][550/3696] lr: 6.000e-05, eta: 8:07:14, time: 0.893, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0242, loss_cls: 6.2762, loss_bbox: 3.0212, loss: 9.3828 +2023-01-20 12:07:14,624 - mmdet - INFO - Epoch [4][600/3696] lr: 6.000e-05, eta: 8:06:33, time: 0.920, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0243, loss_cls: 6.2640, loss_bbox: 3.0069, loss: 9.3569 +2023-01-20 12:08:00,073 - mmdet - INFO - Epoch [4][650/3696] lr: 6.000e-05, eta: 8:05:50, time: 0.909, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0244, loss_cls: 6.2869, loss_bbox: 3.0081, loss: 9.3809 +2023-01-20 12:08:45,076 - mmdet - INFO - Epoch [4][700/3696] lr: 6.000e-05, eta: 8:05:06, time: 0.900, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0629, loss_rpn_bbox: 0.0246, loss_cls: 6.2762, loss_bbox: 3.0083, loss: 9.3720 +2023-01-20 12:09:30,261 - mmdet - INFO - Epoch [4][750/3696] lr: 6.000e-05, eta: 8:04:23, time: 0.904, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0244, loss_cls: 6.2682, loss_bbox: 3.0029, loss: 9.3572 +2023-01-20 12:10:15,814 - mmdet - INFO - Epoch [4][800/3696] lr: 6.000e-05, eta: 8:03:41, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0245, loss_cls: 6.2744, loss_bbox: 3.0043, loss: 9.3650 +2023-01-20 12:11:01,808 - mmdet - INFO - Epoch [4][850/3696] lr: 6.000e-05, eta: 8:03:00, time: 0.920, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0622, loss_rpn_bbox: 0.0245, loss_cls: 6.2748, loss_bbox: 2.9942, loss: 9.3557 +2023-01-20 12:11:47,119 - mmdet - INFO - Epoch [4][900/3696] lr: 6.000e-05, eta: 8:02:16, time: 0.906, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0620, loss_rpn_bbox: 0.0245, loss_cls: 6.2763, loss_bbox: 3.0025, loss: 9.3653 +2023-01-20 12:12:32,378 - mmdet - INFO - Epoch [4][950/3696] lr: 6.000e-05, eta: 8:01:33, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0240, loss_cls: 6.2558, loss_bbox: 3.0171, loss: 9.3586 +2023-01-20 12:13:17,444 - mmdet - INFO - Epoch [4][1000/3696] lr: 6.000e-05, eta: 8:00:50, time: 0.901, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0243, loss_cls: 6.2641, loss_bbox: 3.0033, loss: 9.3532 +2023-01-20 12:14:02,863 - mmdet - INFO - Epoch [4][1050/3696] lr: 6.000e-05, eta: 8:00:07, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0248, loss_cls: 6.2854, loss_bbox: 3.0056, loss: 9.3789 +2023-01-20 12:14:47,285 - mmdet - INFO - Epoch [4][1100/3696] lr: 6.000e-05, eta: 7:59:21, time: 0.888, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0240, loss_cls: 6.2632, loss_bbox: 3.0253, loss: 9.3732 +2023-01-20 12:15:35,689 - mmdet - INFO - Epoch [4][1150/3696] lr: 6.000e-05, eta: 7:58:46, time: 0.968, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0621, loss_rpn_bbox: 0.0247, loss_cls: 6.2712, loss_bbox: 2.9906, loss: 9.3485 +2023-01-20 12:16:20,922 - mmdet - INFO - Epoch [4][1200/3696] lr: 6.000e-05, eta: 7:58:03, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0620, loss_rpn_bbox: 0.0244, loss_cls: 6.2714, loss_bbox: 3.0090, loss: 9.3668 +2023-01-20 12:17:10,658 - mmdet - INFO - Epoch [4][1250/3696] lr: 6.000e-05, eta: 7:57:31, time: 0.995, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0242, loss_cls: 6.2689, loss_bbox: 3.0032, loss: 9.3578 +2023-01-20 12:17:55,798 - mmdet - INFO - Epoch [4][1300/3696] lr: 6.000e-05, eta: 7:56:47, time: 0.903, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0245, loss_cls: 6.2807, loss_bbox: 3.0011, loss: 9.3681 +2023-01-20 12:18:43,118 - mmdet - INFO - Epoch [4][1350/3696] lr: 6.000e-05, eta: 7:56:09, time: 0.946, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0244, loss_cls: 6.2793, loss_bbox: 3.0063, loss: 9.3715 +2023-01-20 12:19:32,696 - mmdet - INFO - Epoch [4][1400/3696] lr: 6.000e-05, eta: 7:55:37, time: 0.992, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0241, loss_cls: 6.2633, loss_bbox: 3.0069, loss: 9.3563 +2023-01-20 12:20:21,045 - mmdet - INFO - Epoch [4][1450/3696] lr: 6.000e-05, eta: 7:55:01, time: 0.967, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0627, loss_rpn_bbox: 0.0249, loss_cls: 6.2862, loss_bbox: 2.9794, loss: 9.3531 +2023-01-20 12:21:06,555 - mmdet - INFO - Epoch [4][1500/3696] lr: 6.000e-05, eta: 7:54:18, time: 0.910, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0248, loss_cls: 6.2801, loss_bbox: 3.0001, loss: 9.3676 +2023-01-20 12:21:51,991 - mmdet - INFO - Epoch [4][1550/3696] lr: 6.000e-05, eta: 7:53:35, time: 0.909, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0243, loss_cls: 6.2687, loss_bbox: 2.9997, loss: 9.3545 +2023-01-20 12:22:37,674 - mmdet - INFO - Epoch [4][1600/3696] lr: 6.000e-05, eta: 7:52:52, time: 0.914, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0240, loss_cls: 6.2650, loss_bbox: 3.0053, loss: 9.3562 +2023-01-20 12:23:22,709 - mmdet - INFO - Epoch [4][1650/3696] lr: 6.000e-05, eta: 7:52:08, time: 0.901, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0245, loss_cls: 6.2776, loss_bbox: 2.9936, loss: 9.3575 +2023-01-20 12:24:07,376 - mmdet - INFO - Epoch [4][1700/3696] lr: 6.000e-05, eta: 7:51:23, time: 0.893, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0240, loss_cls: 6.2664, loss_bbox: 3.0205, loss: 9.3721 +2023-01-20 12:24:52,921 - mmdet - INFO - Epoch [4][1750/3696] lr: 6.000e-05, eta: 7:50:40, time: 0.911, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0247, loss_cls: 6.2787, loss_bbox: 2.9800, loss: 9.3459 +2023-01-20 12:25:38,196 - mmdet - INFO - Epoch [4][1800/3696] lr: 6.000e-05, eta: 7:49:56, time: 0.906, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0240, loss_cls: 6.2651, loss_bbox: 3.0071, loss: 9.3572 +2023-01-20 12:26:23,583 - mmdet - INFO - Epoch [4][1850/3696] lr: 6.000e-05, eta: 7:49:13, time: 0.908, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0623, loss_rpn_bbox: 0.0246, loss_cls: 6.2781, loss_bbox: 2.9890, loss: 9.3540 +2023-01-20 12:27:09,355 - mmdet - INFO - Epoch [4][1900/3696] lr: 6.000e-05, eta: 7:48:30, time: 0.915, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0620, loss_rpn_bbox: 0.0248, loss_cls: 6.2841, loss_bbox: 2.9846, loss: 9.3555 +2023-01-20 12:27:54,446 - mmdet - INFO - Epoch [4][1950/3696] lr: 6.000e-05, eta: 7:47:46, time: 0.902, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0240, loss_cls: 6.2671, loss_bbox: 3.0022, loss: 9.3540 +2023-01-20 12:28:39,799 - mmdet - INFO - Epoch [4][2000/3696] lr: 6.000e-05, eta: 7:47:03, time: 0.907, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0247, loss_cls: 6.2751, loss_bbox: 2.9907, loss: 9.3529 +2023-01-20 12:29:24,987 - mmdet - INFO - Epoch [4][2050/3696] lr: 6.000e-05, eta: 7:46:19, time: 0.904, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0245, loss_cls: 6.2749, loss_bbox: 3.0028, loss: 9.3640 +2023-01-20 12:30:10,673 - mmdet - INFO - Epoch [4][2100/3696] lr: 6.000e-05, eta: 7:45:36, time: 0.914, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0247, loss_cls: 6.2726, loss_bbox: 2.9779, loss: 9.3372 +2023-01-20 12:30:56,109 - mmdet - INFO - Epoch [4][2150/3696] lr: 6.000e-05, eta: 7:44:53, time: 0.909, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0242, loss_cls: 6.2638, loss_bbox: 2.9903, loss: 9.3392 +2023-01-20 12:31:41,424 - mmdet - INFO - Epoch [4][2200/3696] lr: 6.000e-05, eta: 7:44:09, time: 0.906, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0616, loss_rpn_bbox: 0.0242, loss_cls: 6.2670, loss_bbox: 2.9843, loss: 9.3371 +2023-01-20 12:32:26,001 - mmdet - INFO - Epoch [4][2250/3696] lr: 6.000e-05, eta: 7:43:23, time: 0.892, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0239, loss_cls: 6.2513, loss_bbox: 3.0066, loss: 9.3427 +2023-01-20 12:33:11,476 - mmdet - INFO - Epoch [4][2300/3696] lr: 6.000e-05, eta: 7:42:40, time: 0.909, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0243, loss_cls: 6.2723, loss_bbox: 2.9918, loss: 9.3493 +2023-01-20 12:33:56,959 - mmdet - INFO - Epoch [4][2350/3696] lr: 6.000e-05, eta: 7:41:57, time: 0.910, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0627, loss_rpn_bbox: 0.0250, loss_cls: 6.2758, loss_bbox: 2.9906, loss: 9.3541 +2023-01-20 12:34:42,751 - mmdet - INFO - Epoch [4][2400/3696] lr: 6.000e-05, eta: 7:41:14, time: 0.916, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0620, loss_rpn_bbox: 0.0248, loss_cls: 6.2732, loss_bbox: 2.9845, loss: 9.3444 +2023-01-20 12:35:27,942 - mmdet - INFO - Epoch [4][2450/3696] lr: 6.000e-05, eta: 7:40:30, time: 0.904, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0241, loss_cls: 6.2598, loss_bbox: 2.9965, loss: 9.3414 +2023-01-20 12:36:13,287 - mmdet - INFO - Epoch [4][2500/3696] lr: 6.000e-05, eta: 7:39:46, time: 0.907, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0247, loss_cls: 6.2807, loss_bbox: 2.9897, loss: 9.3565 +2023-01-20 12:36:59,167 - mmdet - INFO - Epoch [4][2550/3696] lr: 6.000e-05, eta: 7:39:04, time: 0.918, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0243, loss_cls: 6.2755, loss_bbox: 2.9904, loss: 9.3511 +2023-01-20 12:37:44,410 - mmdet - INFO - Epoch [4][2600/3696] lr: 6.000e-05, eta: 7:38:20, time: 0.905, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0243, loss_cls: 6.2725, loss_bbox: 2.9926, loss: 9.3503 +2023-01-20 12:38:29,940 - mmdet - INFO - Epoch [4][2650/3696] lr: 6.000e-05, eta: 7:37:37, time: 0.911, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0246, loss_cls: 6.2777, loss_bbox: 2.9918, loss: 9.3554 +2023-01-20 12:39:15,826 - mmdet - INFO - Epoch [4][2700/3696] lr: 6.000e-05, eta: 7:36:54, time: 0.918, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0245, loss_cls: 6.2830, loss_bbox: 2.9831, loss: 9.3514 +2023-01-20 12:40:01,583 - mmdet - INFO - Epoch [4][2750/3696] lr: 6.000e-05, eta: 7:36:11, time: 0.915, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0245, loss_cls: 6.2774, loss_bbox: 2.9961, loss: 9.3591 +2023-01-20 12:40:47,392 - mmdet - INFO - Epoch [4][2800/3696] lr: 6.000e-05, eta: 7:35:29, time: 0.916, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0248, loss_cls: 6.2760, loss_bbox: 2.9610, loss: 9.3235 +2023-01-20 12:41:32,508 - mmdet - INFO - Epoch [4][2850/3696] lr: 6.000e-05, eta: 7:34:44, time: 0.902, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0242, loss_cls: 6.2753, loss_bbox: 2.9932, loss: 9.3530 +2023-01-20 12:42:17,875 - mmdet - INFO - Epoch [4][2900/3696] lr: 6.000e-05, eta: 7:34:01, time: 0.907, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0246, loss_cls: 6.2690, loss_bbox: 2.9848, loss: 9.3395 +2023-01-20 12:43:02,832 - mmdet - INFO - Epoch [4][2950/3696] lr: 6.000e-05, eta: 7:33:16, time: 0.899, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0241, loss_cls: 6.2554, loss_bbox: 2.9918, loss: 9.3324 +2023-01-20 12:43:48,172 - mmdet - INFO - Epoch [4][3000/3696] lr: 6.000e-05, eta: 7:32:32, time: 0.907, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0241, loss_cls: 6.2570, loss_bbox: 2.9895, loss: 9.3318 +2023-01-20 12:44:33,636 - mmdet - INFO - Epoch [4][3050/3696] lr: 6.000e-05, eta: 7:31:49, time: 0.909, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0244, loss_cls: 6.2736, loss_bbox: 2.9889, loss: 9.3476 +2023-01-20 12:45:19,349 - mmdet - INFO - Epoch [4][3100/3696] lr: 6.000e-05, eta: 7:31:05, time: 0.914, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0246, loss_cls: 6.2684, loss_bbox: 2.9847, loss: 9.3392 +2023-01-20 12:46:04,289 - mmdet - INFO - Epoch [4][3150/3696] lr: 6.000e-05, eta: 7:30:21, time: 0.899, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0616, loss_rpn_bbox: 0.0244, loss_cls: 6.2720, loss_bbox: 2.9909, loss: 9.3488 +2023-01-20 12:46:50,051 - mmdet - INFO - Epoch [4][3200/3696] lr: 6.000e-05, eta: 7:29:38, time: 0.915, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0241, loss_cls: 6.2641, loss_bbox: 2.9844, loss: 9.3324 +2023-01-20 12:47:35,805 - mmdet - INFO - Epoch [4][3250/3696] lr: 6.000e-05, eta: 7:28:55, time: 0.915, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0248, loss_cls: 6.2832, loss_bbox: 2.9814, loss: 9.3507 +2023-01-20 12:48:21,359 - mmdet - INFO - Epoch [4][3300/3696] lr: 6.000e-05, eta: 7:28:11, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0243, loss_cls: 6.2714, loss_bbox: 2.9909, loss: 9.3472 +2023-01-20 12:49:06,863 - mmdet - INFO - Epoch [4][3350/3696] lr: 6.000e-05, eta: 7:27:28, time: 0.910, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0245, loss_cls: 6.2644, loss_bbox: 2.9805, loss: 9.3307 +2023-01-20 12:49:51,856 - mmdet - INFO - Epoch [4][3400/3696] lr: 6.000e-05, eta: 7:26:43, time: 0.900, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0241, loss_cls: 6.2717, loss_bbox: 2.9885, loss: 9.3452 +2023-01-20 12:50:36,551 - mmdet - INFO - Epoch [4][3450/3696] lr: 6.000e-05, eta: 7:25:58, time: 0.894, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0239, loss_cls: 6.2628, loss_bbox: 2.9913, loss: 9.3384 +2023-01-20 12:51:22,231 - mmdet - INFO - Epoch [4][3500/3696] lr: 6.000e-05, eta: 7:25:15, time: 0.914, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0242, loss_cls: 6.2650, loss_bbox: 2.9876, loss: 9.3376 +2023-01-20 12:52:08,164 - mmdet - INFO - Epoch [4][3550/3696] lr: 6.000e-05, eta: 7:24:32, time: 0.919, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0241, loss_cls: 6.2618, loss_bbox: 2.9887, loss: 9.3338 +2023-01-20 12:52:53,794 - mmdet - INFO - Epoch [4][3600/3696] lr: 6.000e-05, eta: 7:23:49, time: 0.913, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0244, loss_cls: 6.2676, loss_bbox: 2.9728, loss: 9.3255 +2023-01-20 12:53:39,005 - mmdet - INFO - Epoch [4][3650/3696] lr: 6.000e-05, eta: 7:23:04, time: 0.904, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0238, loss_cls: 6.2614, loss_bbox: 2.9808, loss: 9.3265 +2023-01-20 12:54:21,521 - mmdet - INFO - Saving checkpoint at 4 epochs +2023-01-20 12:55:13,005 - mmdet - INFO - Epoch [5][50/3696] lr: 6.000e-05, eta: 7:20:23, time: 0.964, data_time: 0.073, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0240, loss_cls: 6.2646, loss_bbox: 2.9731, loss: 9.3222 +2023-01-20 12:55:58,318 - mmdet - INFO - Epoch [5][100/3696] lr: 6.000e-05, eta: 7:19:39, time: 0.906, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0236, loss_cls: 6.2508, loss_bbox: 2.9869, loss: 9.3216 +2023-01-20 12:56:43,574 - mmdet - INFO - Epoch [5][150/3696] lr: 6.000e-05, eta: 7:18:55, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0240, loss_cls: 6.2749, loss_bbox: 2.9818, loss: 9.3406 +2023-01-20 12:57:28,584 - mmdet - INFO - Epoch [5][200/3696] lr: 6.000e-05, eta: 7:18:11, time: 0.900, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0242, loss_cls: 6.2522, loss_bbox: 2.9765, loss: 9.3136 +2023-01-20 12:58:13,693 - mmdet - INFO - Epoch [5][250/3696] lr: 6.000e-05, eta: 7:17:27, time: 0.902, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0241, loss_cls: 6.2589, loss_bbox: 2.9930, loss: 9.3363 +2023-01-20 12:58:58,970 - mmdet - INFO - Epoch [5][300/3696] lr: 6.000e-05, eta: 7:16:43, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0245, loss_cls: 6.2700, loss_bbox: 2.9881, loss: 9.3436 +2023-01-20 12:59:44,562 - mmdet - INFO - Epoch [5][350/3696] lr: 6.000e-05, eta: 7:16:00, time: 0.912, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0238, loss_cls: 6.2644, loss_bbox: 2.9931, loss: 9.3413 +2023-01-20 13:00:30,101 - mmdet - INFO - Epoch [5][400/3696] lr: 6.000e-05, eta: 7:15:17, time: 0.911, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0243, loss_cls: 6.2619, loss_bbox: 2.9895, loss: 9.3356 +2023-01-20 13:01:15,651 - mmdet - INFO - Epoch [5][450/3696] lr: 6.000e-05, eta: 7:14:33, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0243, loss_cls: 6.2711, loss_bbox: 2.9782, loss: 9.3347 +2023-01-20 13:02:01,637 - mmdet - INFO - Epoch [5][500/3696] lr: 6.000e-05, eta: 7:13:51, time: 0.920, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0249, loss_cls: 6.2829, loss_bbox: 2.9562, loss: 9.3251 +2023-01-20 13:02:47,130 - mmdet - INFO - Epoch [5][550/3696] lr: 6.000e-05, eta: 7:13:07, time: 0.910, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0247, loss_cls: 6.2728, loss_bbox: 2.9588, loss: 9.3178 +2023-01-20 13:03:32,443 - mmdet - INFO - Epoch [5][600/3696] lr: 6.000e-05, eta: 7:12:24, time: 0.906, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0242, loss_cls: 6.2665, loss_bbox: 2.9750, loss: 9.3258 +2023-01-20 13:04:17,704 - mmdet - INFO - Epoch [5][650/3696] lr: 6.000e-05, eta: 7:11:40, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0247, loss_cls: 6.2758, loss_bbox: 2.9611, loss: 9.3231 +2023-01-20 13:05:03,440 - mmdet - INFO - Epoch [5][700/3696] lr: 6.000e-05, eta: 7:10:57, time: 0.915, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0244, loss_cls: 6.2712, loss_bbox: 2.9804, loss: 9.3368 +2023-01-20 13:05:48,712 - mmdet - INFO - Epoch [5][750/3696] lr: 6.000e-05, eta: 7:10:13, time: 0.905, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0248, loss_cls: 6.2835, loss_bbox: 2.9676, loss: 9.3369 +2023-01-20 13:06:33,824 - mmdet - INFO - Epoch [5][800/3696] lr: 6.000e-05, eta: 7:09:29, time: 0.902, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0243, loss_cls: 6.2636, loss_bbox: 2.9845, loss: 9.3337 +2023-01-20 13:07:18,641 - mmdet - INFO - Epoch [5][850/3696] lr: 6.000e-05, eta: 7:08:44, time: 0.896, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0243, loss_cls: 6.2653, loss_bbox: 2.9836, loss: 9.3345 +2023-01-20 13:08:04,203 - mmdet - INFO - Epoch [5][900/3696] lr: 6.000e-05, eta: 7:08:01, time: 0.911, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0245, loss_cls: 6.2744, loss_bbox: 2.9727, loss: 9.3322 +2023-01-20 13:08:49,415 - mmdet - INFO - Epoch [5][950/3696] lr: 6.000e-05, eta: 7:07:17, time: 0.904, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0243, loss_cls: 6.2657, loss_bbox: 2.9755, loss: 9.3269 +2023-01-20 13:09:35,190 - mmdet - INFO - Epoch [5][1000/3696] lr: 6.000e-05, eta: 7:06:34, time: 0.915, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0245, loss_cls: 6.2675, loss_bbox: 2.9679, loss: 9.3211 +2023-01-20 13:10:20,753 - mmdet - INFO - Epoch [5][1050/3696] lr: 6.000e-05, eta: 7:05:50, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0245, loss_cls: 6.2667, loss_bbox: 2.9630, loss: 9.3156 +2023-01-20 13:11:06,010 - mmdet - INFO - Epoch [5][1100/3696] lr: 6.000e-05, eta: 7:05:06, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0245, loss_cls: 6.2746, loss_bbox: 2.9695, loss: 9.3296 +2023-01-20 13:11:50,980 - mmdet - INFO - Epoch [5][1150/3696] lr: 6.000e-05, eta: 7:04:22, time: 0.899, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0239, loss_cls: 6.2589, loss_bbox: 2.9677, loss: 9.3106 +2023-01-20 13:12:36,071 - mmdet - INFO - Epoch [5][1200/3696] lr: 6.000e-05, eta: 7:03:37, time: 0.902, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0245, loss_cls: 6.2760, loss_bbox: 2.9741, loss: 9.3355 +2023-01-20 13:13:20,787 - mmdet - INFO - Epoch [5][1250/3696] lr: 6.000e-05, eta: 7:02:52, time: 0.894, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0242, loss_cls: 6.2591, loss_bbox: 2.9783, loss: 9.3221 +2023-01-20 13:14:05,475 - mmdet - INFO - Epoch [5][1300/3696] lr: 6.000e-05, eta: 7:02:07, time: 0.894, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0238, loss_cls: 6.2570, loss_bbox: 2.9825, loss: 9.3229 +2023-01-20 13:14:50,883 - mmdet - INFO - Epoch [5][1350/3696] lr: 6.000e-05, eta: 7:01:24, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0241, loss_cls: 6.2616, loss_bbox: 2.9730, loss: 9.3199 +2023-01-20 13:15:35,688 - mmdet - INFO - Epoch [5][1400/3696] lr: 6.000e-05, eta: 7:00:39, time: 0.896, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0239, loss_cls: 6.2598, loss_bbox: 2.9846, loss: 9.3276 +2023-01-20 13:16:21,350 - mmdet - INFO - Epoch [5][1450/3696] lr: 6.000e-05, eta: 6:59:56, time: 0.913, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0244, loss_cls: 6.2782, loss_bbox: 2.9654, loss: 9.3290 +2023-01-20 13:17:06,020 - mmdet - INFO - Epoch [5][1500/3696] lr: 6.000e-05, eta: 6:59:11, time: 0.893, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0240, loss_cls: 6.2613, loss_bbox: 2.9882, loss: 9.3340 +2023-01-20 13:17:51,577 - mmdet - INFO - Epoch [5][1550/3696] lr: 6.000e-05, eta: 6:58:27, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0248, loss_cls: 6.2802, loss_bbox: 2.9622, loss: 9.3282 +2023-01-20 13:18:36,632 - mmdet - INFO - Epoch [5][1600/3696] lr: 6.000e-05, eta: 6:57:43, time: 0.901, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0245, loss_cls: 6.2711, loss_bbox: 2.9641, loss: 9.3211 +2023-01-20 13:19:22,323 - mmdet - INFO - Epoch [5][1650/3696] lr: 6.000e-05, eta: 6:56:59, time: 0.914, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0245, loss_cls: 6.2791, loss_bbox: 2.9700, loss: 9.3348 +2023-01-20 13:20:07,637 - mmdet - INFO - Epoch [5][1700/3696] lr: 6.000e-05, eta: 6:56:15, time: 0.906, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0606, loss_rpn_bbox: 0.0245, loss_cls: 6.2776, loss_bbox: 2.9703, loss: 9.3329 +2023-01-20 13:20:52,820 - mmdet - INFO - Epoch [5][1750/3696] lr: 6.000e-05, eta: 6:55:31, time: 0.904, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0238, loss_cls: 6.2594, loss_bbox: 2.9866, loss: 9.3297 +2023-01-20 13:21:37,974 - mmdet - INFO - Epoch [5][1800/3696] lr: 6.000e-05, eta: 6:54:47, time: 0.903, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0242, loss_cls: 6.2653, loss_bbox: 2.9572, loss: 9.3070 +2023-01-20 13:22:23,443 - mmdet - INFO - Epoch [5][1850/3696] lr: 6.000e-05, eta: 6:54:03, time: 0.909, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0243, loss_cls: 6.2660, loss_bbox: 2.9710, loss: 9.3217 +2023-01-20 13:23:08,942 - mmdet - INFO - Epoch [5][1900/3696] lr: 6.000e-05, eta: 6:53:20, time: 0.910, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0247, loss_cls: 6.2839, loss_bbox: 2.9759, loss: 9.3456 +2023-01-20 13:23:54,322 - mmdet - INFO - Epoch [5][1950/3696] lr: 6.000e-05, eta: 6:52:36, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0242, loss_cls: 6.2684, loss_bbox: 2.9710, loss: 9.3235 +2023-01-20 13:24:40,012 - mmdet - INFO - Epoch [5][2000/3696] lr: 6.000e-05, eta: 6:51:52, time: 0.914, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0246, loss_cls: 6.2784, loss_bbox: 2.9698, loss: 9.3338 +2023-01-20 13:25:25,274 - mmdet - INFO - Epoch [5][2050/3696] lr: 6.000e-05, eta: 6:51:08, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0249, loss_cls: 6.2793, loss_bbox: 2.9564, loss: 9.3224 +2023-01-20 13:26:10,261 - mmdet - INFO - Epoch [5][2100/3696] lr: 6.000e-05, eta: 6:50:24, time: 0.900, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0240, loss_cls: 6.2584, loss_bbox: 2.9735, loss: 9.3157 +2023-01-20 13:26:55,728 - mmdet - INFO - Epoch [5][2150/3696] lr: 6.000e-05, eta: 6:49:40, time: 0.909, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0244, loss_cls: 6.2599, loss_bbox: 2.9644, loss: 9.3089 +2023-01-20 13:27:41,815 - mmdet - INFO - Epoch [5][2200/3696] lr: 6.000e-05, eta: 6:48:57, time: 0.921, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0243, loss_cls: 6.2606, loss_bbox: 2.9590, loss: 9.3044 +2023-01-20 13:28:26,661 - mmdet - INFO - Epoch [5][2250/3696] lr: 6.000e-05, eta: 6:48:12, time: 0.897, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0239, loss_cls: 6.2584, loss_bbox: 2.9766, loss: 9.3185 +2023-01-20 13:29:12,625 - mmdet - INFO - Epoch [5][2300/3696] lr: 6.000e-05, eta: 6:47:29, time: 0.919, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0246, loss_cls: 6.2751, loss_bbox: 2.9446, loss: 9.3054 +2023-01-20 13:29:57,698 - mmdet - INFO - Epoch [5][2350/3696] lr: 6.000e-05, eta: 6:46:45, time: 0.901, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0245, loss_cls: 6.2672, loss_bbox: 2.9645, loss: 9.3162 +2023-01-20 13:30:42,592 - mmdet - INFO - Epoch [5][2400/3696] lr: 6.000e-05, eta: 6:46:00, time: 0.898, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0239, loss_cls: 6.2520, loss_bbox: 2.9804, loss: 9.3160 +2023-01-20 13:31:27,989 - mmdet - INFO - Epoch [5][2450/3696] lr: 6.000e-05, eta: 6:45:16, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0246, loss_cls: 6.2787, loss_bbox: 2.9530, loss: 9.3175 +2023-01-20 13:32:13,802 - mmdet - INFO - Epoch [5][2500/3696] lr: 6.000e-05, eta: 6:44:33, time: 0.916, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0239, loss_cls: 6.2610, loss_bbox: 2.9646, loss: 9.3092 +2023-01-20 13:32:59,198 - mmdet - INFO - Epoch [5][2550/3696] lr: 6.000e-05, eta: 6:43:49, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0243, loss_cls: 6.2651, loss_bbox: 2.9505, loss: 9.3003 +2023-01-20 13:33:44,207 - mmdet - INFO - Epoch [5][2600/3696] lr: 6.000e-05, eta: 6:43:04, time: 0.900, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0240, loss_cls: 6.2532, loss_bbox: 2.9717, loss: 9.3084 +2023-01-20 13:34:29,568 - mmdet - INFO - Epoch [5][2650/3696] lr: 6.000e-05, eta: 6:42:20, time: 0.907, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0241, loss_cls: 6.2613, loss_bbox: 2.9655, loss: 9.3094 +2023-01-20 13:35:14,447 - mmdet - INFO - Epoch [5][2700/3696] lr: 6.000e-05, eta: 6:41:35, time: 0.898, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0240, loss_cls: 6.2574, loss_bbox: 2.9696, loss: 9.3108 +2023-01-20 13:35:59,686 - mmdet - INFO - Epoch [5][2750/3696] lr: 6.000e-05, eta: 6:40:51, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0240, loss_cls: 6.2540, loss_bbox: 2.9749, loss: 9.3134 +2023-01-20 13:36:45,380 - mmdet - INFO - Epoch [5][2800/3696] lr: 6.000e-05, eta: 6:40:08, time: 0.914, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0246, loss_cls: 6.2742, loss_bbox: 2.9586, loss: 9.3179 +2023-01-20 13:37:30,368 - mmdet - INFO - Epoch [5][2850/3696] lr: 6.000e-05, eta: 6:39:23, time: 0.900, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0242, loss_cls: 6.2611, loss_bbox: 2.9668, loss: 9.3123 +2023-01-20 13:38:15,629 - mmdet - INFO - Epoch [5][2900/3696] lr: 6.000e-05, eta: 6:38:39, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0243, loss_cls: 6.2632, loss_bbox: 2.9756, loss: 9.3234 +2023-01-20 13:39:01,310 - mmdet - INFO - Epoch [5][2950/3696] lr: 6.000e-05, eta: 6:37:55, time: 0.914, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0244, loss_cls: 6.2642, loss_bbox: 2.9505, loss: 9.2992 +2023-01-20 13:39:46,614 - mmdet - INFO - Epoch [5][3000/3696] lr: 6.000e-05, eta: 6:37:11, time: 0.906, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0242, loss_cls: 6.2671, loss_bbox: 2.9802, loss: 9.3305 +2023-01-20 13:40:31,545 - mmdet - INFO - Epoch [5][3050/3696] lr: 6.000e-05, eta: 6:36:26, time: 0.899, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0239, loss_cls: 6.2581, loss_bbox: 2.9743, loss: 9.3154 +2023-01-20 13:41:17,088 - mmdet - INFO - Epoch [5][3100/3696] lr: 6.000e-05, eta: 6:35:42, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0242, loss_cls: 6.2573, loss_bbox: 2.9519, loss: 9.2937 +2023-01-20 13:42:03,208 - mmdet - INFO - Epoch [5][3150/3696] lr: 6.000e-05, eta: 6:34:59, time: 0.922, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0244, loss_cls: 6.2669, loss_bbox: 2.9448, loss: 9.2965 +2023-01-20 13:42:48,760 - mmdet - INFO - Epoch [5][3200/3696] lr: 6.000e-05, eta: 6:34:16, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0242, loss_cls: 6.2660, loss_bbox: 2.9684, loss: 9.3181 +2023-01-20 13:43:34,586 - mmdet - INFO - Epoch [5][3250/3696] lr: 6.000e-05, eta: 6:33:32, time: 0.917, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0240, loss_cls: 6.2620, loss_bbox: 2.9531, loss: 9.2983 +2023-01-20 13:44:20,022 - mmdet - INFO - Epoch [5][3300/3696] lr: 6.000e-05, eta: 6:32:48, time: 0.909, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0242, loss_cls: 6.2602, loss_bbox: 2.9572, loss: 9.3010 +2023-01-20 13:45:05,075 - mmdet - INFO - Epoch [5][3350/3696] lr: 6.000e-05, eta: 6:32:04, time: 0.901, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0239, loss_cls: 6.2617, loss_bbox: 2.9651, loss: 9.3095 +2023-01-20 13:45:50,257 - mmdet - INFO - Epoch [5][3400/3696] lr: 6.000e-05, eta: 6:31:19, time: 0.904, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0242, loss_cls: 6.2620, loss_bbox: 2.9661, loss: 9.3124 +2023-01-20 13:46:35,042 - mmdet - INFO - Epoch [5][3450/3696] lr: 6.000e-05, eta: 6:30:34, time: 0.896, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0236, loss_cls: 6.2546, loss_bbox: 2.9685, loss: 9.3058 +2023-01-20 13:47:20,651 - mmdet - INFO - Epoch [5][3500/3696] lr: 6.000e-05, eta: 6:29:50, time: 0.912, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0241, loss_cls: 6.2567, loss_bbox: 2.9626, loss: 9.3032 +2023-01-20 13:48:06,205 - mmdet - INFO - Epoch [5][3550/3696] lr: 6.000e-05, eta: 6:29:07, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0608, loss_rpn_bbox: 0.0244, loss_cls: 6.2653, loss_bbox: 2.9493, loss: 9.2998 +2023-01-20 13:48:51,526 - mmdet - INFO - Epoch [5][3600/3696] lr: 6.000e-05, eta: 6:28:22, time: 0.906, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0242, loss_cls: 6.2620, loss_bbox: 2.9646, loss: 9.3103 +2023-01-20 13:49:36,797 - mmdet - INFO - Epoch [5][3650/3696] lr: 6.000e-05, eta: 6:27:38, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0242, loss_cls: 6.2600, loss_bbox: 2.9492, loss: 9.2939 +2023-01-20 13:50:18,556 - mmdet - INFO - Saving checkpoint at 5 epochs +2023-01-20 13:51:09,610 - mmdet - INFO - Epoch [6][50/3696] lr: 6.000e-05, eta: 6:25:19, time: 0.958, data_time: 0.073, memory: 13163, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0240, loss_cls: 6.2617, loss_bbox: 2.9648, loss: 9.3101 +2023-01-20 13:51:55,007 - mmdet - INFO - Epoch [6][100/3696] lr: 6.000e-05, eta: 6:24:35, time: 0.908, data_time: 0.019, memory: 13163, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0240, loss_cls: 6.2558, loss_bbox: 2.9569, loss: 9.2963 +2023-01-20 13:52:39,964 - mmdet - INFO - Epoch [6][150/3696] lr: 6.000e-05, eta: 6:23:50, time: 0.899, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0239, loss_cls: 6.2585, loss_bbox: 2.9614, loss: 9.3036 +2023-01-20 13:53:25,523 - mmdet - INFO - Epoch [6][200/3696] lr: 6.000e-05, eta: 6:23:06, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0241, loss_cls: 6.2602, loss_bbox: 2.9613, loss: 9.3055 +2023-01-20 13:54:10,932 - mmdet - INFO - Epoch [6][250/3696] lr: 6.000e-05, eta: 6:22:23, time: 0.908, data_time: 0.019, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0242, loss_cls: 6.2638, loss_bbox: 2.9494, loss: 9.2973 +2023-01-20 13:54:57,561 - mmdet - INFO - Epoch [6][300/3696] lr: 6.000e-05, eta: 6:21:40, time: 0.933, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0606, loss_rpn_bbox: 0.0247, loss_cls: 6.2793, loss_bbox: 2.9343, loss: 9.2990 +2023-01-20 13:55:43,453 - mmdet - INFO - Epoch [6][350/3696] lr: 6.000e-05, eta: 6:20:57, time: 0.918, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0244, loss_cls: 6.2705, loss_bbox: 2.9527, loss: 9.3076 +2023-01-20 13:56:29,189 - mmdet - INFO - Epoch [6][400/3696] lr: 6.000e-05, eta: 6:20:14, time: 0.915, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0249, loss_cls: 6.2767, loss_bbox: 2.9306, loss: 9.2930 +2023-01-20 13:57:14,296 - mmdet - INFO - Epoch [6][450/3696] lr: 6.000e-05, eta: 6:19:29, time: 0.902, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0239, loss_cls: 6.2534, loss_bbox: 2.9564, loss: 9.2939 +2023-01-20 13:57:59,563 - mmdet - INFO - Epoch [6][500/3696] lr: 6.000e-05, eta: 6:18:45, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0245, loss_cls: 6.2681, loss_bbox: 2.9485, loss: 9.3010 +2023-01-20 13:58:44,594 - mmdet - INFO - Epoch [6][550/3696] lr: 6.000e-05, eta: 6:18:01, time: 0.901, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0236, loss_cls: 6.2472, loss_bbox: 2.9657, loss: 9.2958 +2023-01-20 13:59:30,433 - mmdet - INFO - Epoch [6][600/3696] lr: 6.000e-05, eta: 6:17:17, time: 0.917, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0245, loss_cls: 6.2750, loss_bbox: 2.9396, loss: 9.2992 +2023-01-20 14:00:16,603 - mmdet - INFO - Epoch [6][650/3696] lr: 6.000e-05, eta: 6:16:34, time: 0.923, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0244, loss_cls: 6.2715, loss_bbox: 2.9329, loss: 9.2888 +2023-01-20 14:01:02,000 - mmdet - INFO - Epoch [6][700/3696] lr: 6.000e-05, eta: 6:15:50, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0240, loss_cls: 6.2593, loss_bbox: 2.9571, loss: 9.2997 +2023-01-20 14:01:46,981 - mmdet - INFO - Epoch [6][750/3696] lr: 6.000e-05, eta: 6:15:06, time: 0.900, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0241, loss_cls: 6.2558, loss_bbox: 2.9602, loss: 9.2998 +2023-01-20 14:02:32,529 - mmdet - INFO - Epoch [6][800/3696] lr: 6.000e-05, eta: 6:14:22, time: 0.911, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0242, loss_cls: 6.2582, loss_bbox: 2.9573, loss: 9.2994 +2023-01-20 14:03:18,911 - mmdet - INFO - Epoch [6][850/3696] lr: 6.000e-05, eta: 6:13:39, time: 0.928, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0616, loss_rpn_bbox: 0.0249, loss_cls: 6.2822, loss_bbox: 2.9139, loss: 9.2825 +2023-01-20 14:04:03,837 - mmdet - INFO - Epoch [6][900/3696] lr: 6.000e-05, eta: 6:12:55, time: 0.898, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0236, loss_cls: 6.2428, loss_bbox: 2.9688, loss: 9.2933 +2023-01-20 14:04:49,223 - mmdet - INFO - Epoch [6][950/3696] lr: 6.000e-05, eta: 6:12:10, time: 0.908, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0242, loss_cls: 6.2668, loss_bbox: 2.9600, loss: 9.3105 +2023-01-20 14:05:34,944 - mmdet - INFO - Epoch [6][1000/3696] lr: 6.000e-05, eta: 6:11:27, time: 0.915, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0244, loss_cls: 6.2698, loss_bbox: 2.9369, loss: 9.2910 +2023-01-20 14:06:20,722 - mmdet - INFO - Epoch [6][1050/3696] lr: 6.000e-05, eta: 6:10:43, time: 0.916, data_time: 0.019, memory: 13163, loss_rpn_cls: 0.0606, loss_rpn_bbox: 0.0245, loss_cls: 6.2713, loss_bbox: 2.9474, loss: 9.3038 +2023-01-20 14:07:06,232 - mmdet - INFO - Epoch [6][1100/3696] lr: 6.000e-05, eta: 6:09:59, time: 0.910, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0241, loss_cls: 6.2656, loss_bbox: 2.9601, loss: 9.3088 +2023-01-20 14:07:51,385 - mmdet - INFO - Epoch [6][1150/3696] lr: 6.000e-05, eta: 6:09:15, time: 0.903, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0243, loss_cls: 6.2611, loss_bbox: 2.9487, loss: 9.2937 +2023-01-20 14:08:36,905 - mmdet - INFO - Epoch [6][1200/3696] lr: 6.000e-05, eta: 6:08:31, time: 0.910, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0238, loss_cls: 6.2491, loss_bbox: 2.9605, loss: 9.2918 +2023-01-20 14:09:22,653 - mmdet - INFO - Epoch [6][1250/3696] lr: 6.000e-05, eta: 6:07:47, time: 0.915, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0239, loss_cls: 6.2515, loss_bbox: 2.9612, loss: 9.2962 +2023-01-20 14:10:08,188 - mmdet - INFO - Epoch [6][1300/3696] lr: 6.000e-05, eta: 6:07:04, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0238, loss_cls: 6.2572, loss_bbox: 2.9592, loss: 9.2987 +2023-01-20 14:10:53,861 - mmdet - INFO - Epoch [6][1350/3696] lr: 6.000e-05, eta: 6:06:20, time: 0.913, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0240, loss_cls: 6.2538, loss_bbox: 2.9611, loss: 9.2986 +2023-01-20 14:11:39,353 - mmdet - INFO - Epoch [6][1400/3696] lr: 6.000e-05, eta: 6:05:36, time: 0.910, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0243, loss_cls: 6.2624, loss_bbox: 2.9583, loss: 9.3047 +2023-01-20 14:12:24,942 - mmdet - INFO - Epoch [6][1450/3696] lr: 6.000e-05, eta: 6:04:52, time: 0.912, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0241, loss_cls: 6.2617, loss_bbox: 2.9529, loss: 9.2980 +2023-01-20 14:13:11,198 - mmdet - INFO - Epoch [6][1500/3696] lr: 6.000e-05, eta: 6:04:09, time: 0.925, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0247, loss_cls: 6.2765, loss_bbox: 2.9326, loss: 9.2942 +2023-01-20 14:13:56,590 - mmdet - INFO - Epoch [6][1550/3696] lr: 6.000e-05, eta: 6:03:25, time: 0.908, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0241, loss_cls: 6.2553, loss_bbox: 2.9577, loss: 9.2969 +2023-01-20 14:14:41,419 - mmdet - INFO - Epoch [6][1600/3696] lr: 6.000e-05, eta: 6:02:40, time: 0.897, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0237, loss_cls: 6.2509, loss_bbox: 2.9610, loss: 9.2950 +2023-01-20 14:15:26,857 - mmdet - INFO - Epoch [6][1650/3696] lr: 6.000e-05, eta: 6:01:56, time: 0.909, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0241, loss_cls: 6.2612, loss_bbox: 2.9511, loss: 9.2961 +2023-01-20 14:16:12,202 - mmdet - INFO - Epoch [6][1700/3696] lr: 6.000e-05, eta: 6:01:12, time: 0.907, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0243, loss_cls: 6.2657, loss_bbox: 2.9427, loss: 9.2929 +2023-01-20 14:16:57,825 - mmdet - INFO - Epoch [6][1750/3696] lr: 6.000e-05, eta: 6:00:28, time: 0.912, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0242, loss_cls: 6.2705, loss_bbox: 2.9372, loss: 9.2923 +2023-01-20 14:17:43,282 - mmdet - INFO - Epoch [6][1800/3696] lr: 6.000e-05, eta: 5:59:44, time: 0.909, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0242, loss_cls: 6.2687, loss_bbox: 2.9600, loss: 9.3125 +2023-01-20 14:18:28,923 - mmdet - INFO - Epoch [6][1850/3696] lr: 6.000e-05, eta: 5:59:00, time: 0.913, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0245, loss_cls: 6.2767, loss_bbox: 2.9368, loss: 9.2975 +2023-01-20 14:19:14,762 - mmdet - INFO - Epoch [6][1900/3696] lr: 6.000e-05, eta: 5:58:16, time: 0.917, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0243, loss_cls: 6.2682, loss_bbox: 2.9362, loss: 9.2885 +2023-01-20 14:20:02,753 - mmdet - INFO - Epoch [6][1950/3696] lr: 6.000e-05, eta: 5:57:35, time: 0.960, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0242, loss_cls: 6.2603, loss_bbox: 2.9464, loss: 9.2901 +2023-01-20 14:20:49,989 - mmdet - INFO - Epoch [6][2000/3696] lr: 6.000e-05, eta: 5:56:53, time: 0.945, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0236, loss_cls: 6.2490, loss_bbox: 2.9665, loss: 9.2975 +2023-01-20 14:21:35,341 - mmdet - INFO - Epoch [6][2050/3696] lr: 6.000e-05, eta: 5:56:09, time: 0.907, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0241, loss_cls: 6.2633, loss_bbox: 2.9553, loss: 9.3016 +2023-01-20 14:22:22,931 - mmdet - INFO - Epoch [6][2100/3696] lr: 6.000e-05, eta: 5:55:27, time: 0.952, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0239, loss_cls: 6.2589, loss_bbox: 2.9503, loss: 9.2922 +2023-01-20 14:23:12,867 - mmdet - INFO - Epoch [6][2150/3696] lr: 6.000e-05, eta: 5:54:48, time: 0.999, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0238, loss_cls: 6.2551, loss_bbox: 2.9610, loss: 9.2985 +2023-01-20 14:24:02,551 - mmdet - INFO - Epoch [6][2200/3696] lr: 6.000e-05, eta: 5:54:09, time: 0.993, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0238, loss_cls: 6.2571, loss_bbox: 2.9442, loss: 9.2838 +2023-01-20 14:24:50,452 - mmdet - INFO - Epoch [6][2250/3696] lr: 6.000e-05, eta: 5:53:27, time: 0.958, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0245, loss_cls: 6.2708, loss_bbox: 2.9539, loss: 9.3097 +2023-01-20 14:25:35,842 - mmdet - INFO - Epoch [6][2300/3696] lr: 6.000e-05, eta: 5:52:43, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0242, loss_cls: 6.2674, loss_bbox: 2.9552, loss: 9.3063 +2023-01-20 14:26:21,230 - mmdet - INFO - Epoch [6][2350/3696] lr: 6.000e-05, eta: 5:51:58, time: 0.908, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0239, loss_cls: 6.2581, loss_bbox: 2.9506, loss: 9.2912 +2023-01-20 14:27:06,766 - mmdet - INFO - Epoch [6][2400/3696] lr: 6.000e-05, eta: 5:51:14, time: 0.911, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0241, loss_cls: 6.2598, loss_bbox: 2.9483, loss: 9.2916 +2023-01-20 14:27:52,000 - mmdet - INFO - Epoch [6][2450/3696] lr: 6.000e-05, eta: 5:50:30, time: 0.905, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0246, loss_cls: 6.2696, loss_bbox: 2.9334, loss: 9.2880 +2023-01-20 14:28:37,468 - mmdet - INFO - Epoch [6][2500/3696] lr: 6.000e-05, eta: 5:49:45, time: 0.909, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0240, loss_cls: 6.2569, loss_bbox: 2.9437, loss: 9.2838 +2023-01-20 14:29:22,828 - mmdet - INFO - Epoch [6][2550/3696] lr: 6.000e-05, eta: 5:49:01, time: 0.907, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0239, loss_cls: 6.2530, loss_bbox: 2.9500, loss: 9.2859 +2023-01-20 14:30:08,950 - mmdet - INFO - Epoch [6][2600/3696] lr: 6.000e-05, eta: 5:48:18, time: 0.923, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0247, loss_cls: 6.2778, loss_bbox: 2.9201, loss: 9.2825 +2023-01-20 14:30:53,953 - mmdet - INFO - Epoch [6][2650/3696] lr: 6.000e-05, eta: 5:47:33, time: 0.900, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0239, loss_cls: 6.2556, loss_bbox: 2.9477, loss: 9.2861 +2023-01-20 14:31:39,271 - mmdet - INFO - Epoch [6][2700/3696] lr: 6.000e-05, eta: 5:46:48, time: 0.906, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0242, loss_cls: 6.2611, loss_bbox: 2.9403, loss: 9.2856 +2023-01-20 14:32:24,084 - mmdet - INFO - Epoch [6][2750/3696] lr: 6.000e-05, eta: 5:46:03, time: 0.896, data_time: 0.017, memory: 13163, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0239, loss_cls: 6.2651, loss_bbox: 2.9505, loss: 9.2983 +2023-01-20 14:33:09,759 - mmdet - INFO - Epoch [6][2800/3696] lr: 6.000e-05, eta: 5:45:19, time: 0.913, data_time: 0.018, memory: 13163, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0241, loss_cls: 6.2600, loss_bbox: 2.9378, loss: 9.2811 +2023-01-20 14:33:56,149 - mmdet - INFO - Epoch [6][2850/3696] lr: 6.000e-05, eta: 5:44:36, time: 0.928, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0244, loss_cls: 6.2593, loss_bbox: 2.9290, loss: 9.2723 +2023-01-20 14:34:41,511 - mmdet - INFO - Epoch [6][2900/3696] lr: 6.000e-05, eta: 5:43:52, time: 0.907, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0243, loss_cls: 6.2561, loss_bbox: 2.9380, loss: 9.2785 +2023-01-20 14:35:27,254 - mmdet - INFO - Epoch [6][2950/3696] lr: 6.000e-05, eta: 5:43:08, time: 0.915, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0246, loss_cls: 6.2721, loss_bbox: 2.9361, loss: 9.2928 +2023-01-20 14:36:12,379 - mmdet - INFO - Epoch [6][3000/3696] lr: 6.000e-05, eta: 5:42:23, time: 0.902, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0243, loss_cls: 6.2629, loss_bbox: 2.9437, loss: 9.2913 +2023-01-20 14:36:57,941 - mmdet - INFO - Epoch [6][3050/3696] lr: 6.000e-05, eta: 5:41:39, time: 0.911, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0240, loss_cls: 6.2595, loss_bbox: 2.9367, loss: 9.2799 +2023-01-20 14:37:43,135 - mmdet - INFO - Epoch [6][3100/3696] lr: 6.000e-05, eta: 5:40:54, time: 0.904, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0240, loss_cls: 6.2598, loss_bbox: 2.9419, loss: 9.2843 +2023-01-20 14:38:28,381 - mmdet - INFO - Epoch [6][3150/3696] lr: 6.000e-05, eta: 5:40:09, time: 0.905, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0239, loss_cls: 6.2510, loss_bbox: 2.9533, loss: 9.2870 +2023-01-20 14:39:13,284 - mmdet - INFO - Epoch [6][3200/3696] lr: 6.000e-05, eta: 5:39:25, time: 0.898, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0239, loss_cls: 6.2545, loss_bbox: 2.9450, loss: 9.2822 +2023-01-20 14:39:58,332 - mmdet - INFO - Epoch [6][3250/3696] lr: 6.000e-05, eta: 5:38:40, time: 0.901, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0241, loss_cls: 6.2595, loss_bbox: 2.9520, loss: 9.2944 +2023-01-20 14:40:44,303 - mmdet - INFO - Epoch [6][3300/3696] lr: 6.000e-05, eta: 5:37:56, time: 0.919, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0247, loss_cls: 6.2713, loss_bbox: 2.9386, loss: 9.2950 +2023-01-20 14:41:29,982 - mmdet - INFO - Epoch [6][3350/3696] lr: 6.000e-05, eta: 5:37:12, time: 0.914, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0243, loss_cls: 6.2654, loss_bbox: 2.9356, loss: 9.2845 +2023-01-20 14:42:15,612 - mmdet - INFO - Epoch [6][3400/3696] lr: 6.000e-05, eta: 5:36:28, time: 0.913, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0244, loss_cls: 6.2712, loss_bbox: 2.9251, loss: 9.2802 +2023-01-20 14:43:01,002 - mmdet - INFO - Epoch [6][3450/3696] lr: 6.000e-05, eta: 5:35:43, time: 0.908, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0241, loss_cls: 6.2611, loss_bbox: 2.9324, loss: 9.2771 +2023-01-20 14:43:46,151 - mmdet - INFO - Epoch [6][3500/3696] lr: 6.000e-05, eta: 5:34:59, time: 0.903, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0242, loss_cls: 6.2612, loss_bbox: 2.9475, loss: 9.2921 +2023-01-20 14:44:31,424 - mmdet - INFO - Epoch [6][3550/3696] lr: 6.000e-05, eta: 5:34:14, time: 0.905, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0240, loss_cls: 6.2478, loss_bbox: 2.9511, loss: 9.2821 +2023-01-20 14:45:16,951 - mmdet - INFO - Epoch [6][3600/3696] lr: 6.000e-05, eta: 5:33:30, time: 0.910, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0239, loss_cls: 6.2606, loss_bbox: 2.9376, loss: 9.2807 +2023-01-20 14:46:03,186 - mmdet - INFO - Epoch [6][3650/3696] lr: 6.000e-05, eta: 5:32:46, time: 0.925, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0242, loss_cls: 6.2670, loss_bbox: 2.9274, loss: 9.2773 +2023-01-20 14:46:44,977 - mmdet - INFO - Saving checkpoint at 6 epochs +2023-01-20 14:47:36,567 - mmdet - INFO - Epoch [7][50/3696] lr: 6.000e-05, eta: 5:30:42, time: 0.968, data_time: 0.074, memory: 13220, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0247, loss_cls: 6.2739, loss_bbox: 2.9248, loss: 9.2836 +2023-01-20 14:48:22,047 - mmdet - INFO - Epoch [7][100/3696] lr: 6.000e-05, eta: 5:29:58, time: 0.910, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0243, loss_cls: 6.2599, loss_bbox: 2.9308, loss: 9.2743 +2023-01-20 14:49:08,071 - mmdet - INFO - Epoch [7][150/3696] lr: 6.000e-05, eta: 5:29:14, time: 0.920, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0244, loss_cls: 6.2722, loss_bbox: 2.9221, loss: 9.2777 +2023-01-20 14:49:53,686 - mmdet - INFO - Epoch [7][200/3696] lr: 6.000e-05, eta: 5:28:30, time: 0.912, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0245, loss_cls: 6.2665, loss_bbox: 2.9256, loss: 9.2756 +2023-01-20 14:50:38,971 - mmdet - INFO - Epoch [7][250/3696] lr: 6.000e-05, eta: 5:27:46, time: 0.906, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0238, loss_cls: 6.2578, loss_bbox: 2.9486, loss: 9.2881 +2023-01-20 14:51:24,577 - mmdet - INFO - Epoch [7][300/3696] lr: 6.000e-05, eta: 5:27:02, time: 0.912, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0238, loss_cls: 6.2537, loss_bbox: 2.9420, loss: 9.2782 +2023-01-20 14:52:09,994 - mmdet - INFO - Epoch [7][350/3696] lr: 6.000e-05, eta: 5:26:17, time: 0.908, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0245, loss_cls: 6.2677, loss_bbox: 2.9302, loss: 9.2828 +2023-01-20 14:52:56,171 - mmdet - INFO - Epoch [7][400/3696] lr: 6.000e-05, eta: 5:25:34, time: 0.924, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0247, loss_cls: 6.2698, loss_bbox: 2.9105, loss: 9.2648 +2023-01-20 14:53:42,430 - mmdet - INFO - Epoch [7][450/3696] lr: 6.000e-05, eta: 5:24:50, time: 0.925, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0245, loss_cls: 6.2669, loss_bbox: 2.9161, loss: 9.2671 +2023-01-20 14:54:27,622 - mmdet - INFO - Epoch [7][500/3696] lr: 6.000e-05, eta: 5:24:06, time: 0.904, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0242, loss_cls: 6.2635, loss_bbox: 2.9342, loss: 9.2804 +2023-01-20 14:55:12,758 - mmdet - INFO - Epoch [7][550/3696] lr: 6.000e-05, eta: 5:23:21, time: 0.903, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0236, loss_cls: 6.2481, loss_bbox: 2.9411, loss: 9.2708 +2023-01-20 14:55:58,962 - mmdet - INFO - Epoch [7][600/3696] lr: 6.000e-05, eta: 5:22:38, time: 0.924, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0243, loss_cls: 6.2712, loss_bbox: 2.9235, loss: 9.2782 +2023-01-20 14:56:44,286 - mmdet - INFO - Epoch [7][650/3696] lr: 6.000e-05, eta: 5:21:53, time: 0.906, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0241, loss_cls: 6.2672, loss_bbox: 2.9290, loss: 9.2791 +2023-01-20 14:57:29,613 - mmdet - INFO - Epoch [7][700/3696] lr: 6.000e-05, eta: 5:21:09, time: 0.907, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0240, loss_cls: 6.2597, loss_bbox: 2.9363, loss: 9.2788 +2023-01-20 14:58:14,807 - mmdet - INFO - Epoch [7][750/3696] lr: 6.000e-05, eta: 5:20:24, time: 0.904, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0244, loss_cls: 6.2689, loss_bbox: 2.9261, loss: 9.2787 +2023-01-20 14:59:00,637 - mmdet - INFO - Epoch [7][800/3696] lr: 6.000e-05, eta: 5:19:40, time: 0.917, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0240, loss_cls: 6.2553, loss_bbox: 2.9325, loss: 9.2710 +2023-01-20 14:59:46,699 - mmdet - INFO - Epoch [7][850/3696] lr: 6.000e-05, eta: 5:18:56, time: 0.921, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0246, loss_cls: 6.2609, loss_bbox: 2.9211, loss: 9.2667 +2023-01-20 15:00:32,121 - mmdet - INFO - Epoch [7][900/3696] lr: 6.000e-05, eta: 5:18:12, time: 0.908, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0242, loss_cls: 6.2599, loss_bbox: 2.9288, loss: 9.2718 +2023-01-20 15:01:17,384 - mmdet - INFO - Epoch [7][950/3696] lr: 6.000e-05, eta: 5:17:28, time: 0.905, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0237, loss_cls: 6.2455, loss_bbox: 2.9221, loss: 9.2494 +2023-01-20 15:02:02,900 - mmdet - INFO - Epoch [7][1000/3696] lr: 6.000e-05, eta: 5:16:43, time: 0.910, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0242, loss_cls: 6.2604, loss_bbox: 2.9347, loss: 9.2781 +2023-01-20 15:02:48,410 - mmdet - INFO - Epoch [7][1050/3696] lr: 6.000e-05, eta: 5:15:59, time: 0.910, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0243, loss_cls: 6.2659, loss_bbox: 2.9313, loss: 9.2802 +2023-01-20 15:03:35,216 - mmdet - INFO - Epoch [7][1100/3696] lr: 6.000e-05, eta: 5:15:16, time: 0.936, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0249, loss_cls: 6.2778, loss_bbox: 2.8857, loss: 9.2489 +2023-01-20 15:04:21,997 - mmdet - INFO - Epoch [7][1150/3696] lr: 6.000e-05, eta: 5:14:33, time: 0.936, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0248, loss_cls: 6.2795, loss_bbox: 2.9068, loss: 9.2703 +2023-01-20 15:05:07,250 - mmdet - INFO - Epoch [7][1200/3696] lr: 6.000e-05, eta: 5:13:48, time: 0.905, data_time: 0.018, memory: 13220, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0232, loss_cls: 6.2444, loss_bbox: 2.9470, loss: 9.2723 +2023-01-20 15:05:52,430 - mmdet - INFO - Epoch [7][1250/3696] lr: 6.000e-05, eta: 5:13:04, time: 0.904, data_time: 0.017, memory: 13220, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0236, loss_cls: 6.2449, loss_bbox: 2.9516, loss: 9.2782 +2023-01-20 15:06:37,615 - mmdet - INFO - Epoch [7][1300/3696] lr: 6.000e-05, eta: 5:12:19, time: 0.904, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0239, loss_cls: 6.2588, loss_bbox: 2.9286, loss: 9.2701 +2023-01-20 15:07:23,306 - mmdet - INFO - Epoch [7][1350/3696] lr: 6.000e-05, eta: 5:11:35, time: 0.914, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0244, loss_cls: 6.2643, loss_bbox: 2.9155, loss: 9.2639 +2023-01-20 15:08:08,793 - mmdet - INFO - Epoch [7][1400/3696] lr: 6.000e-05, eta: 5:10:50, time: 0.910, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0239, loss_cls: 6.2521, loss_bbox: 2.9313, loss: 9.2669 +2023-01-20 15:08:54,966 - mmdet - INFO - Epoch [7][1450/3696] lr: 6.000e-05, eta: 5:10:07, time: 0.923, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0243, loss_cls: 6.2604, loss_bbox: 2.9126, loss: 9.2569 +2023-01-20 15:09:40,209 - mmdet - INFO - Epoch [7][1500/3696] lr: 6.000e-05, eta: 5:09:22, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0241, loss_cls: 6.2633, loss_bbox: 2.9408, loss: 9.2872 +2023-01-20 15:10:25,564 - mmdet - INFO - Epoch [7][1550/3696] lr: 6.000e-05, eta: 5:08:38, time: 0.907, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0240, loss_cls: 6.2535, loss_bbox: 2.9250, loss: 9.2613 +2023-01-20 15:11:10,810 - mmdet - INFO - Epoch [7][1600/3696] lr: 6.000e-05, eta: 5:07:53, time: 0.905, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0238, loss_cls: 6.2514, loss_bbox: 2.9348, loss: 9.2690 +2023-01-20 15:11:55,686 - mmdet - INFO - Epoch [7][1650/3696] lr: 6.000e-05, eta: 5:07:08, time: 0.898, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0236, loss_cls: 6.2471, loss_bbox: 2.9362, loss: 9.2652 +2023-01-20 15:12:41,699 - mmdet - INFO - Epoch [7][1700/3696] lr: 6.000e-05, eta: 5:06:24, time: 0.920, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0244, loss_cls: 6.2679, loss_bbox: 2.9184, loss: 9.2707 +2023-01-20 15:13:27,268 - mmdet - INFO - Epoch [7][1750/3696] lr: 6.000e-05, eta: 5:05:40, time: 0.911, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0247, loss_cls: 6.2757, loss_bbox: 2.9134, loss: 9.2739 +2023-01-20 15:14:13,400 - mmdet - INFO - Epoch [7][1800/3696] lr: 6.000e-05, eta: 5:04:56, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0243, loss_cls: 6.2598, loss_bbox: 2.9069, loss: 9.2498 +2023-01-20 15:14:58,841 - mmdet - INFO - Epoch [7][1850/3696] lr: 6.000e-05, eta: 5:04:12, time: 0.909, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0242, loss_cls: 6.2659, loss_bbox: 2.9305, loss: 9.2797 +2023-01-20 15:15:44,034 - mmdet - INFO - Epoch [7][1900/3696] lr: 6.000e-05, eta: 5:03:27, time: 0.904, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0236, loss_cls: 6.2526, loss_bbox: 2.9380, loss: 9.2722 +2023-01-20 15:16:29,696 - mmdet - INFO - Epoch [7][1950/3696] lr: 6.000e-05, eta: 5:02:43, time: 0.913, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0238, loss_cls: 6.2557, loss_bbox: 2.9353, loss: 9.2732 +2023-01-20 15:17:15,083 - mmdet - INFO - Epoch [7][2000/3696] lr: 6.000e-05, eta: 5:01:58, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0241, loss_cls: 6.2602, loss_bbox: 2.9317, loss: 9.2748 +2023-01-20 15:18:00,717 - mmdet - INFO - Epoch [7][2050/3696] lr: 6.000e-05, eta: 5:01:14, time: 0.913, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0239, loss_cls: 6.2672, loss_bbox: 2.9279, loss: 9.2777 +2023-01-20 15:18:45,895 - mmdet - INFO - Epoch [7][2100/3696] lr: 6.000e-05, eta: 5:00:29, time: 0.904, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0234, loss_cls: 6.2358, loss_bbox: 2.9348, loss: 9.2523 +2023-01-20 15:19:31,035 - mmdet - INFO - Epoch [7][2150/3696] lr: 6.000e-05, eta: 4:59:45, time: 0.903, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0241, loss_cls: 6.2648, loss_bbox: 2.9288, loss: 9.2766 +2023-01-20 15:20:16,367 - mmdet - INFO - Epoch [7][2200/3696] lr: 6.000e-05, eta: 4:59:00, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0245, loss_cls: 6.2683, loss_bbox: 2.9213, loss: 9.2735 +2023-01-20 15:21:01,901 - mmdet - INFO - Epoch [7][2250/3696] lr: 6.000e-05, eta: 4:58:16, time: 0.911, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0241, loss_cls: 6.2585, loss_bbox: 2.9220, loss: 9.2642 +2023-01-20 15:21:47,771 - mmdet - INFO - Epoch [7][2300/3696] lr: 6.000e-05, eta: 4:57:31, time: 0.917, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0247, loss_cls: 6.2741, loss_bbox: 2.9071, loss: 9.2656 +2023-01-20 15:22:33,647 - mmdet - INFO - Epoch [7][2350/3696] lr: 6.000e-05, eta: 4:56:47, time: 0.918, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0244, loss_cls: 6.2746, loss_bbox: 2.9150, loss: 9.2728 +2023-01-20 15:23:19,333 - mmdet - INFO - Epoch [7][2400/3696] lr: 6.000e-05, eta: 4:56:03, time: 0.914, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0241, loss_cls: 6.2541, loss_bbox: 2.9378, loss: 9.2746 +2023-01-20 15:24:04,526 - mmdet - INFO - Epoch [7][2450/3696] lr: 6.000e-05, eta: 4:55:18, time: 0.904, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0242, loss_cls: 6.2654, loss_bbox: 2.9368, loss: 9.2855 +2023-01-20 15:24:50,311 - mmdet - INFO - Epoch [7][2500/3696] lr: 6.000e-05, eta: 4:54:34, time: 0.916, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0239, loss_cls: 6.2500, loss_bbox: 2.9197, loss: 9.2527 +2023-01-20 15:25:35,564 - mmdet - INFO - Epoch [7][2550/3696] lr: 6.000e-05, eta: 4:53:49, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0243, loss_cls: 6.2592, loss_bbox: 2.9228, loss: 9.2651 +2023-01-20 15:26:20,966 - mmdet - INFO - Epoch [7][2600/3696] lr: 6.000e-05, eta: 4:53:05, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0238, loss_cls: 6.2532, loss_bbox: 2.9200, loss: 9.2549 +2023-01-20 15:27:07,005 - mmdet - INFO - Epoch [7][2650/3696] lr: 6.000e-05, eta: 4:52:21, time: 0.921, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0243, loss_cls: 6.2632, loss_bbox: 2.9294, loss: 9.2756 +2023-01-20 15:27:52,304 - mmdet - INFO - Epoch [7][2700/3696] lr: 6.000e-05, eta: 4:51:36, time: 0.906, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0238, loss_cls: 6.2579, loss_bbox: 2.9317, loss: 9.2713 +2023-01-20 15:28:37,490 - mmdet - INFO - Epoch [7][2750/3696] lr: 6.000e-05, eta: 4:50:52, time: 0.904, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0240, loss_cls: 6.2578, loss_bbox: 2.9296, loss: 9.2700 +2023-01-20 15:29:23,653 - mmdet - INFO - Epoch [7][2800/3696] lr: 6.000e-05, eta: 4:50:08, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0247, loss_cls: 6.2708, loss_bbox: 2.9067, loss: 9.2620 +2023-01-20 15:30:09,199 - mmdet - INFO - Epoch [7][2850/3696] lr: 6.000e-05, eta: 4:49:23, time: 0.911, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0243, loss_cls: 6.2695, loss_bbox: 2.9272, loss: 9.2796 +2023-01-20 15:30:55,305 - mmdet - INFO - Epoch [7][2900/3696] lr: 6.000e-05, eta: 4:48:39, time: 0.922, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0245, loss_cls: 6.2601, loss_bbox: 2.9055, loss: 9.2497 +2023-01-20 15:31:40,764 - mmdet - INFO - Epoch [7][2950/3696] lr: 6.000e-05, eta: 4:47:55, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0241, loss_cls: 6.2517, loss_bbox: 2.9240, loss: 9.2586 +2023-01-20 15:32:26,471 - mmdet - INFO - Epoch [7][3000/3696] lr: 6.000e-05, eta: 4:47:10, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0240, loss_cls: 6.2504, loss_bbox: 2.9238, loss: 9.2566 +2023-01-20 15:33:11,789 - mmdet - INFO - Epoch [7][3050/3696] lr: 6.000e-05, eta: 4:46:26, time: 0.906, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0237, loss_cls: 6.2555, loss_bbox: 2.9305, loss: 9.2675 +2023-01-20 15:33:56,760 - mmdet - INFO - Epoch [7][3100/3696] lr: 6.000e-05, eta: 4:45:41, time: 0.899, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0234, loss_cls: 6.2368, loss_bbox: 2.9286, loss: 9.2471 +2023-01-20 15:34:41,479 - mmdet - INFO - Epoch [7][3150/3696] lr: 6.000e-05, eta: 4:44:56, time: 0.894, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0237, loss_cls: 6.2494, loss_bbox: 2.9455, loss: 9.2774 +2023-01-20 15:35:27,630 - mmdet - INFO - Epoch [7][3200/3696] lr: 6.000e-05, eta: 4:44:12, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0246, loss_cls: 6.2594, loss_bbox: 2.9002, loss: 9.2433 +2023-01-20 15:36:12,927 - mmdet - INFO - Epoch [7][3250/3696] lr: 6.000e-05, eta: 4:43:27, time: 0.906, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0241, loss_cls: 6.2587, loss_bbox: 2.9237, loss: 9.2658 +2023-01-20 15:36:58,513 - mmdet - INFO - Epoch [7][3300/3696] lr: 6.000e-05, eta: 4:42:43, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0243, loss_cls: 6.2571, loss_bbox: 2.9178, loss: 9.2572 +2023-01-20 15:37:43,451 - mmdet - INFO - Epoch [7][3350/3696] lr: 6.000e-05, eta: 4:41:58, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0232, loss_cls: 6.2348, loss_bbox: 2.9275, loss: 9.2427 +2023-01-20 15:38:28,705 - mmdet - INFO - Epoch [7][3400/3696] lr: 6.000e-05, eta: 4:41:13, time: 0.905, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0241, loss_cls: 6.2542, loss_bbox: 2.9266, loss: 9.2638 +2023-01-20 15:39:14,268 - mmdet - INFO - Epoch [7][3450/3696] lr: 6.000e-05, eta: 4:40:28, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0245, loss_cls: 6.2773, loss_bbox: 2.9123, loss: 9.2738 +2023-01-20 15:40:00,331 - mmdet - INFO - Epoch [7][3500/3696] lr: 6.000e-05, eta: 4:39:44, time: 0.921, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0244, loss_cls: 6.2706, loss_bbox: 2.9074, loss: 9.2615 +2023-01-20 15:40:44,864 - mmdet - INFO - Epoch [7][3550/3696] lr: 6.000e-05, eta: 4:38:59, time: 0.891, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0229, loss_cls: 6.2269, loss_bbox: 2.9353, loss: 9.2418 +2023-01-20 15:41:30,628 - mmdet - INFO - Epoch [7][3600/3696] lr: 6.000e-05, eta: 4:38:15, time: 0.915, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0243, loss_cls: 6.2722, loss_bbox: 2.9149, loss: 9.2699 +2023-01-20 15:42:15,195 - mmdet - INFO - Epoch [7][3650/3696] lr: 6.000e-05, eta: 4:37:30, time: 0.891, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0237, loss_cls: 6.2509, loss_bbox: 2.9379, loss: 9.2706 +2023-01-20 15:42:57,417 - mmdet - INFO - Saving checkpoint at 7 epochs +2023-01-20 15:43:48,875 - mmdet - INFO - Epoch [8][50/3696] lr: 6.000e-05, eta: 4:35:36, time: 0.964, data_time: 0.075, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0238, loss_cls: 6.2506, loss_bbox: 2.9135, loss: 9.2468 +2023-01-20 15:44:33,901 - mmdet - INFO - Epoch [8][100/3696] lr: 6.000e-05, eta: 4:34:51, time: 0.901, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0238, loss_cls: 6.2470, loss_bbox: 2.9329, loss: 9.2624 +2023-01-20 15:45:19,688 - mmdet - INFO - Epoch [8][150/3696] lr: 6.000e-05, eta: 4:34:07, time: 0.916, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0243, loss_cls: 6.2682, loss_bbox: 2.9169, loss: 9.2681 +2023-01-20 15:46:05,266 - mmdet - INFO - Epoch [8][200/3696] lr: 6.000e-05, eta: 4:33:23, time: 0.912, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.2659, loss_bbox: 2.9025, loss: 9.2506 +2023-01-20 15:46:51,631 - mmdet - INFO - Epoch [8][250/3696] lr: 6.000e-05, eta: 4:32:39, time: 0.927, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0594, loss_rpn_bbox: 0.0247, loss_cls: 6.2749, loss_bbox: 2.8982, loss: 9.2571 +2023-01-20 15:47:37,143 - mmdet - INFO - Epoch [8][300/3696] lr: 6.000e-05, eta: 4:31:55, time: 0.910, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.2549, loss_bbox: 2.9124, loss: 9.2495 +2023-01-20 15:48:22,837 - mmdet - INFO - Epoch [8][350/3696] lr: 6.000e-05, eta: 4:31:10, time: 0.914, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0245, loss_cls: 6.2703, loss_bbox: 2.8987, loss: 9.2531 +2023-01-20 15:49:08,608 - mmdet - INFO - Epoch [8][400/3696] lr: 6.000e-05, eta: 4:30:26, time: 0.915, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0246, loss_cls: 6.2674, loss_bbox: 2.9073, loss: 9.2589 +2023-01-20 15:49:54,414 - mmdet - INFO - Epoch [8][450/3696] lr: 6.000e-05, eta: 4:29:42, time: 0.916, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0244, loss_cls: 6.2658, loss_bbox: 2.9038, loss: 9.2532 +2023-01-20 15:50:39,763 - mmdet - INFO - Epoch [8][500/3696] lr: 6.000e-05, eta: 4:28:57, time: 0.907, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0243, loss_cls: 6.2635, loss_bbox: 2.9288, loss: 9.2757 +2023-01-20 15:51:25,425 - mmdet - INFO - Epoch [8][550/3696] lr: 6.000e-05, eta: 4:28:13, time: 0.913, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0245, loss_cls: 6.2733, loss_bbox: 2.9055, loss: 9.2623 +2023-01-20 15:52:11,050 - mmdet - INFO - Epoch [8][600/3696] lr: 6.000e-05, eta: 4:27:29, time: 0.912, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0243, loss_cls: 6.2630, loss_bbox: 2.8990, loss: 9.2453 +2023-01-20 15:52:57,172 - mmdet - INFO - Epoch [8][650/3696] lr: 6.000e-05, eta: 4:26:45, time: 0.922, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2533, loss_bbox: 2.9037, loss: 9.2392 +2023-01-20 15:53:42,923 - mmdet - INFO - Epoch [8][700/3696] lr: 6.000e-05, eta: 4:26:00, time: 0.915, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0236, loss_cls: 6.2466, loss_bbox: 2.9238, loss: 9.2514 +2023-01-20 15:54:27,799 - mmdet - INFO - Epoch [8][750/3696] lr: 6.000e-05, eta: 4:25:15, time: 0.898, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0234, loss_cls: 6.2444, loss_bbox: 2.9357, loss: 9.2603 +2023-01-20 15:55:13,389 - mmdet - INFO - Epoch [8][800/3696] lr: 6.000e-05, eta: 4:24:31, time: 0.912, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0238, loss_cls: 6.2506, loss_bbox: 2.9188, loss: 9.2510 +2023-01-20 15:55:59,280 - mmdet - INFO - Epoch [8][850/3696] lr: 6.000e-05, eta: 4:23:47, time: 0.918, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0242, loss_cls: 6.2600, loss_bbox: 2.9106, loss: 9.2536 +2023-01-20 15:56:44,953 - mmdet - INFO - Epoch [8][900/3696] lr: 6.000e-05, eta: 4:23:02, time: 0.913, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0236, loss_cls: 6.2478, loss_bbox: 2.9203, loss: 9.2496 +2023-01-20 15:57:29,649 - mmdet - INFO - Epoch [8][950/3696] lr: 6.000e-05, eta: 4:22:17, time: 0.894, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0238, loss_cls: 6.2534, loss_bbox: 2.9269, loss: 9.2620 +2023-01-20 15:58:15,088 - mmdet - INFO - Epoch [8][1000/3696] lr: 6.000e-05, eta: 4:21:33, time: 0.909, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0243, loss_cls: 6.2688, loss_bbox: 2.9175, loss: 9.2695 +2023-01-20 15:59:00,856 - mmdet - INFO - Epoch [8][1050/3696] lr: 6.000e-05, eta: 4:20:48, time: 0.915, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0237, loss_cls: 6.2527, loss_bbox: 2.9129, loss: 9.2470 +2023-01-20 15:59:46,595 - mmdet - INFO - Epoch [8][1100/3696] lr: 6.000e-05, eta: 4:20:04, time: 0.915, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0239, loss_cls: 6.2433, loss_bbox: 2.9082, loss: 9.2336 +2023-01-20 16:00:33,384 - mmdet - INFO - Epoch [8][1150/3696] lr: 6.000e-05, eta: 4:19:20, time: 0.936, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0244, loss_cls: 6.2590, loss_bbox: 2.8883, loss: 9.2307 +2023-01-20 16:01:19,072 - mmdet - INFO - Epoch [8][1200/3696] lr: 6.000e-05, eta: 4:18:36, time: 0.914, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0241, loss_cls: 6.2676, loss_bbox: 2.9127, loss: 9.2632 +2023-01-20 16:02:04,704 - mmdet - INFO - Epoch [8][1250/3696] lr: 6.000e-05, eta: 4:17:52, time: 0.913, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0238, loss_cls: 6.2589, loss_bbox: 2.9176, loss: 9.2581 +2023-01-20 16:02:49,810 - mmdet - INFO - Epoch [8][1300/3696] lr: 6.000e-05, eta: 4:17:07, time: 0.902, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0238, loss_cls: 6.2592, loss_bbox: 2.9150, loss: 9.2565 +2023-01-20 16:03:35,964 - mmdet - INFO - Epoch [8][1350/3696] lr: 6.000e-05, eta: 4:16:23, time: 0.923, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0243, loss_cls: 6.2636, loss_bbox: 2.9054, loss: 9.2517 +2023-01-20 16:04:21,479 - mmdet - INFO - Epoch [8][1400/3696] lr: 6.000e-05, eta: 4:15:38, time: 0.910, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0240, loss_cls: 6.2543, loss_bbox: 2.9181, loss: 9.2550 +2023-01-20 16:05:06,717 - mmdet - INFO - Epoch [8][1450/3696] lr: 6.000e-05, eta: 4:14:54, time: 0.905, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0235, loss_cls: 6.2501, loss_bbox: 2.9271, loss: 9.2580 +2023-01-20 16:05:52,111 - mmdet - INFO - Epoch [8][1500/3696] lr: 6.000e-05, eta: 4:14:09, time: 0.908, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0237, loss_cls: 6.2534, loss_bbox: 2.9198, loss: 9.2551 +2023-01-20 16:06:37,556 - mmdet - INFO - Epoch [8][1550/3696] lr: 6.000e-05, eta: 4:13:24, time: 0.909, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0244, loss_cls: 6.2628, loss_bbox: 2.9019, loss: 9.2477 +2023-01-20 16:07:22,773 - mmdet - INFO - Epoch [8][1600/3696] lr: 6.000e-05, eta: 4:12:40, time: 0.904, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0238, loss_cls: 6.2482, loss_bbox: 2.9132, loss: 9.2436 +2023-01-20 16:08:07,495 - mmdet - INFO - Epoch [8][1650/3696] lr: 6.000e-05, eta: 4:11:55, time: 0.894, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0237, loss_cls: 6.2577, loss_bbox: 2.9273, loss: 9.2663 +2023-01-20 16:08:53,528 - mmdet - INFO - Epoch [8][1700/3696] lr: 6.000e-05, eta: 4:11:10, time: 0.921, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0241, loss_cls: 6.2555, loss_bbox: 2.9152, loss: 9.2536 +2023-01-20 16:09:38,708 - mmdet - INFO - Epoch [8][1750/3696] lr: 6.000e-05, eta: 4:10:26, time: 0.904, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0236, loss_cls: 6.2501, loss_bbox: 2.9332, loss: 9.2647 +2023-01-20 16:10:24,222 - mmdet - INFO - Epoch [8][1800/3696] lr: 6.000e-05, eta: 4:09:41, time: 0.910, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0236, loss_cls: 6.2462, loss_bbox: 2.9060, loss: 9.2333 +2023-01-20 16:11:10,112 - mmdet - INFO - Epoch [8][1850/3696] lr: 6.000e-05, eta: 4:08:57, time: 0.918, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0237, loss_cls: 6.2541, loss_bbox: 2.9160, loss: 9.2519 +2023-01-20 16:11:55,848 - mmdet - INFO - Epoch [8][1900/3696] lr: 6.000e-05, eta: 4:08:12, time: 0.915, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0239, loss_cls: 6.2545, loss_bbox: 2.8980, loss: 9.2351 +2023-01-20 16:12:41,531 - mmdet - INFO - Epoch [8][1950/3696] lr: 6.000e-05, eta: 4:07:28, time: 0.914, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0241, loss_cls: 6.2543, loss_bbox: 2.9054, loss: 9.2424 +2023-01-20 16:13:27,060 - mmdet - INFO - Epoch [8][2000/3696] lr: 6.000e-05, eta: 4:06:43, time: 0.911, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0239, loss_cls: 6.2566, loss_bbox: 2.9153, loss: 9.2544 +2023-01-20 16:14:13,147 - mmdet - INFO - Epoch [8][2050/3696] lr: 6.000e-05, eta: 4:05:59, time: 0.922, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0248, loss_cls: 6.2800, loss_bbox: 2.8989, loss: 9.2624 +2023-01-20 16:14:58,425 - mmdet - INFO - Epoch [8][2100/3696] lr: 6.000e-05, eta: 4:05:14, time: 0.906, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0242, loss_cls: 6.2582, loss_bbox: 2.9210, loss: 9.2621 +2023-01-20 16:15:43,804 - mmdet - INFO - Epoch [8][2150/3696] lr: 6.000e-05, eta: 4:04:30, time: 0.908, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0239, loss_cls: 6.2473, loss_bbox: 2.9069, loss: 9.2358 +2023-01-20 16:16:29,152 - mmdet - INFO - Epoch [8][2200/3696] lr: 6.000e-05, eta: 4:03:45, time: 0.907, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0236, loss_cls: 6.2553, loss_bbox: 2.9168, loss: 9.2533 +2023-01-20 16:17:14,382 - mmdet - INFO - Epoch [8][2250/3696] lr: 6.000e-05, eta: 4:03:00, time: 0.905, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0237, loss_cls: 6.2504, loss_bbox: 2.9163, loss: 9.2479 +2023-01-20 16:18:00,102 - mmdet - INFO - Epoch [8][2300/3696] lr: 6.000e-05, eta: 4:02:16, time: 0.914, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.2528, loss_bbox: 2.9034, loss: 9.2384 +2023-01-20 16:18:44,874 - mmdet - INFO - Epoch [8][2350/3696] lr: 6.000e-05, eta: 4:01:31, time: 0.895, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0236, loss_cls: 6.2403, loss_bbox: 2.9174, loss: 9.2393 +2023-01-20 16:19:30,576 - mmdet - INFO - Epoch [8][2400/3696] lr: 6.000e-05, eta: 4:00:46, time: 0.914, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0241, loss_cls: 6.2516, loss_bbox: 2.8998, loss: 9.2340 +2023-01-20 16:20:16,351 - mmdet - INFO - Epoch [8][2450/3696] lr: 6.000e-05, eta: 4:00:02, time: 0.915, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0240, loss_cls: 6.2507, loss_bbox: 2.8950, loss: 9.2284 +2023-01-20 16:21:02,523 - mmdet - INFO - Epoch [8][2500/3696] lr: 6.000e-05, eta: 3:59:18, time: 0.923, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0242, loss_cls: 6.2611, loss_bbox: 2.9023, loss: 9.2466 +2023-01-20 16:21:47,313 - mmdet - INFO - Epoch [8][2550/3696] lr: 6.000e-05, eta: 3:58:33, time: 0.896, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0239, loss_cls: 6.2553, loss_bbox: 2.9349, loss: 9.2726 +2023-01-20 16:22:32,591 - mmdet - INFO - Epoch [8][2600/3696] lr: 6.000e-05, eta: 3:57:48, time: 0.906, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0242, loss_cls: 6.2577, loss_bbox: 2.9108, loss: 9.2517 +2023-01-20 16:23:17,709 - mmdet - INFO - Epoch [8][2650/3696] lr: 6.000e-05, eta: 3:57:03, time: 0.902, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0235, loss_cls: 6.2445, loss_bbox: 2.9137, loss: 9.2388 +2023-01-20 16:24:03,326 - mmdet - INFO - Epoch [8][2700/3696] lr: 6.000e-05, eta: 3:56:19, time: 0.912, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0243, loss_cls: 6.2681, loss_bbox: 2.8927, loss: 9.2433 +2023-01-20 16:24:48,675 - mmdet - INFO - Epoch [8][2750/3696] lr: 6.000e-05, eta: 3:55:34, time: 0.907, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0240, loss_cls: 6.2555, loss_bbox: 2.9156, loss: 9.2532 +2023-01-20 16:25:36,321 - mmdet - INFO - Epoch [8][2800/3696] lr: 6.000e-05, eta: 3:54:51, time: 0.953, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0242, loss_cls: 6.2619, loss_bbox: 2.8877, loss: 9.2325 +2023-01-20 16:26:22,636 - mmdet - INFO - Epoch [8][2850/3696] lr: 6.000e-05, eta: 3:54:06, time: 0.926, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0248, loss_cls: 6.2792, loss_bbox: 2.8909, loss: 9.2546 +2023-01-20 16:27:09,894 - mmdet - INFO - Epoch [8][2900/3696] lr: 6.000e-05, eta: 3:53:23, time: 0.945, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0236, loss_cls: 6.2388, loss_bbox: 2.9146, loss: 9.2342 +2023-01-20 16:27:55,358 - mmdet - INFO - Epoch [8][2950/3696] lr: 6.000e-05, eta: 3:52:38, time: 0.909, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2608, loss_bbox: 2.9110, loss: 9.2540 +2023-01-20 16:28:42,796 - mmdet - INFO - Epoch [8][3000/3696] lr: 6.000e-05, eta: 3:51:54, time: 0.949, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0243, loss_cls: 6.2693, loss_bbox: 2.9114, loss: 9.2635 +2023-01-20 16:29:38,301 - mmdet - INFO - Epoch [8][3050/3696] lr: 6.000e-05, eta: 3:51:15, time: 1.110, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2579, loss_bbox: 2.9095, loss: 9.2491 +2023-01-20 16:30:23,428 - mmdet - INFO - Epoch [8][3100/3696] lr: 6.000e-05, eta: 3:50:30, time: 0.903, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0239, loss_cls: 6.2474, loss_bbox: 2.9000, loss: 9.2297 +2023-01-20 16:31:09,292 - mmdet - INFO - Epoch [8][3150/3696] lr: 6.000e-05, eta: 3:49:46, time: 0.917, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0243, loss_cls: 6.2603, loss_bbox: 2.8951, loss: 9.2387 +2023-01-20 16:31:54,898 - mmdet - INFO - Epoch [8][3200/3696] lr: 6.000e-05, eta: 3:49:01, time: 0.912, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0244, loss_cls: 6.2596, loss_bbox: 2.9022, loss: 9.2446 +2023-01-20 16:32:40,752 - mmdet - INFO - Epoch [8][3250/3696] lr: 6.000e-05, eta: 3:48:17, time: 0.917, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0246, loss_cls: 6.2726, loss_bbox: 2.8919, loss: 9.2476 +2023-01-20 16:33:26,100 - mmdet - INFO - Epoch [8][3300/3696] lr: 6.000e-05, eta: 3:47:32, time: 0.907, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0245, loss_cls: 6.2674, loss_bbox: 2.8919, loss: 9.2430 +2023-01-20 16:34:11,607 - mmdet - INFO - Epoch [8][3350/3696] lr: 6.000e-05, eta: 3:46:47, time: 0.910, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0242, loss_cls: 6.2682, loss_bbox: 2.8915, loss: 9.2424 +2023-01-20 16:34:57,621 - mmdet - INFO - Epoch [8][3400/3696] lr: 6.000e-05, eta: 3:46:03, time: 0.920, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0242, loss_cls: 6.2618, loss_bbox: 2.9020, loss: 9.2464 +2023-01-20 16:35:42,496 - mmdet - INFO - Epoch [8][3450/3696] lr: 6.000e-05, eta: 3:45:18, time: 0.898, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0238, loss_cls: 6.2522, loss_bbox: 2.9187, loss: 9.2528 +2023-01-20 16:36:28,506 - mmdet - INFO - Epoch [8][3500/3696] lr: 6.000e-05, eta: 3:44:33, time: 0.920, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0242, loss_cls: 6.2602, loss_bbox: 2.8876, loss: 9.2301 +2023-01-20 16:37:13,948 - mmdet - INFO - Epoch [8][3550/3696] lr: 6.000e-05, eta: 3:43:49, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0238, loss_cls: 6.2567, loss_bbox: 2.9114, loss: 9.2495 +2023-01-20 16:37:58,128 - mmdet - INFO - Epoch [8][3600/3696] lr: 6.000e-05, eta: 3:43:03, time: 0.884, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0233, loss_cls: 6.2433, loss_bbox: 2.9386, loss: 9.2615 +2023-01-20 16:38:44,441 - mmdet - INFO - Epoch [8][3650/3696] lr: 6.000e-05, eta: 3:42:19, time: 0.926, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0244, loss_cls: 6.2691, loss_bbox: 2.8953, loss: 9.2478 +2023-01-20 16:39:26,670 - mmdet - INFO - Saving checkpoint at 8 epochs +2023-01-20 16:40:19,019 - mmdet - INFO - Epoch [9][50/3696] lr: 6.000e-06, eta: 3:40:34, time: 0.977, data_time: 0.075, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0243, loss_cls: 6.2603, loss_bbox: 2.8789, loss: 9.2220 +2023-01-20 16:41:04,478 - mmdet - INFO - Epoch [9][100/3696] lr: 6.000e-06, eta: 3:39:49, time: 0.909, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0234, loss_cls: 6.2471, loss_bbox: 2.9031, loss: 9.2301 +2023-01-20 16:41:49,910 - mmdet - INFO - Epoch [9][150/3696] lr: 6.000e-06, eta: 3:39:05, time: 0.909, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2535, loss_bbox: 2.8876, loss: 9.2227 +2023-01-20 16:42:34,745 - mmdet - INFO - Epoch [9][200/3696] lr: 6.000e-06, eta: 3:38:20, time: 0.897, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0235, loss_cls: 6.2341, loss_bbox: 2.9013, loss: 9.2160 +2023-01-20 16:43:20,140 - mmdet - INFO - Epoch [9][250/3696] lr: 6.000e-06, eta: 3:37:35, time: 0.908, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0239, loss_cls: 6.2454, loss_bbox: 2.8800, loss: 9.2074 +2023-01-20 16:44:05,719 - mmdet - INFO - Epoch [9][300/3696] lr: 6.000e-06, eta: 3:36:50, time: 0.912, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0240, loss_cls: 6.2432, loss_bbox: 2.8911, loss: 9.2160 +2023-01-20 16:44:51,796 - mmdet - INFO - Epoch [9][350/3696] lr: 6.000e-06, eta: 3:36:06, time: 0.922, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2501, loss_bbox: 2.8871, loss: 9.2185 +2023-01-20 16:45:37,566 - mmdet - INFO - Epoch [9][400/3696] lr: 6.000e-06, eta: 3:35:22, time: 0.915, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0242, loss_cls: 6.2565, loss_bbox: 2.8758, loss: 9.2150 +2023-01-20 16:46:23,239 - mmdet - INFO - Epoch [9][450/3696] lr: 6.000e-06, eta: 3:34:37, time: 0.913, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0240, loss_cls: 6.2458, loss_bbox: 2.8733, loss: 9.2011 +2023-01-20 16:47:08,190 - mmdet - INFO - Epoch [9][500/3696] lr: 6.000e-06, eta: 3:33:52, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2587, loss_bbox: 2.8876, loss: 9.2277 +2023-01-20 16:47:53,992 - mmdet - INFO - Epoch [9][550/3696] lr: 6.000e-06, eta: 3:33:08, time: 0.916, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0240, loss_cls: 6.2505, loss_bbox: 2.8809, loss: 9.2135 +2023-01-20 16:48:40,145 - mmdet - INFO - Epoch [9][600/3696] lr: 6.000e-06, eta: 3:32:23, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0237, loss_cls: 6.2449, loss_bbox: 2.8869, loss: 9.2128 +2023-01-20 16:49:24,940 - mmdet - INFO - Epoch [9][650/3696] lr: 6.000e-06, eta: 3:31:38, time: 0.896, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0235, loss_cls: 6.2434, loss_bbox: 2.9089, loss: 9.2324 +2023-01-20 16:50:10,041 - mmdet - INFO - Epoch [9][700/3696] lr: 6.000e-06, eta: 3:30:53, time: 0.902, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0236, loss_cls: 6.2431, loss_bbox: 2.8898, loss: 9.2132 +2023-01-20 16:50:55,646 - mmdet - INFO - Epoch [9][750/3696] lr: 6.000e-06, eta: 3:30:09, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0238, loss_cls: 6.2437, loss_bbox: 2.8862, loss: 9.2108 +2023-01-20 16:51:41,008 - mmdet - INFO - Epoch [9][800/3696] lr: 6.000e-06, eta: 3:29:24, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0239, loss_cls: 6.2495, loss_bbox: 2.8920, loss: 9.2235 +2023-01-20 16:52:26,662 - mmdet - INFO - Epoch [9][850/3696] lr: 6.000e-06, eta: 3:28:39, time: 0.913, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0239, loss_cls: 6.2401, loss_bbox: 2.8914, loss: 9.2138 +2023-01-20 16:53:12,212 - mmdet - INFO - Epoch [9][900/3696] lr: 6.000e-06, eta: 3:27:55, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0242, loss_cls: 6.2488, loss_bbox: 2.8797, loss: 9.2111 +2023-01-20 16:53:57,441 - mmdet - INFO - Epoch [9][950/3696] lr: 6.000e-06, eta: 3:27:10, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0237, loss_cls: 6.2405, loss_bbox: 2.8829, loss: 9.2045 +2023-01-20 16:54:42,675 - mmdet - INFO - Epoch [9][1000/3696] lr: 6.000e-06, eta: 3:26:25, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0239, loss_cls: 6.2492, loss_bbox: 2.8813, loss: 9.2120 +2023-01-20 16:55:28,104 - mmdet - INFO - Epoch [9][1050/3696] lr: 6.000e-06, eta: 3:25:41, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0243, loss_cls: 6.2675, loss_bbox: 2.8839, loss: 9.2332 +2023-01-20 16:56:13,218 - mmdet - INFO - Epoch [9][1100/3696] lr: 6.000e-06, eta: 3:24:56, time: 0.902, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2445, loss_bbox: 2.8939, loss: 9.2199 +2023-01-20 16:56:58,369 - mmdet - INFO - Epoch [9][1150/3696] lr: 6.000e-06, eta: 3:24:11, time: 0.903, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0237, loss_cls: 6.2433, loss_bbox: 2.8952, loss: 9.2195 +2023-01-20 16:57:43,527 - mmdet - INFO - Epoch [9][1200/3696] lr: 6.000e-06, eta: 3:23:26, time: 0.903, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2536, loss_bbox: 2.8726, loss: 9.2078 +2023-01-20 16:58:28,739 - mmdet - INFO - Epoch [9][1250/3696] lr: 6.000e-06, eta: 3:22:41, time: 0.904, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0238, loss_cls: 6.2485, loss_bbox: 2.8931, loss: 9.2232 +2023-01-20 16:59:13,605 - mmdet - INFO - Epoch [9][1300/3696] lr: 6.000e-06, eta: 3:21:56, time: 0.897, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0237, loss_cls: 6.2415, loss_bbox: 2.8985, loss: 9.2208 +2023-01-20 16:59:58,959 - mmdet - INFO - Epoch [9][1350/3696] lr: 6.000e-06, eta: 3:21:12, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2436, loss_bbox: 2.8927, loss: 9.2185 +2023-01-20 17:00:43,878 - mmdet - INFO - Epoch [9][1400/3696] lr: 6.000e-06, eta: 3:20:27, time: 0.898, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0237, loss_cls: 6.2422, loss_bbox: 2.8919, loss: 9.2154 +2023-01-20 17:01:28,722 - mmdet - INFO - Epoch [9][1450/3696] lr: 6.000e-06, eta: 3:19:42, time: 0.897, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0234, loss_cls: 6.2423, loss_bbox: 2.9103, loss: 9.2328 +2023-01-20 17:02:14,334 - mmdet - INFO - Epoch [9][1500/3696] lr: 6.000e-06, eta: 3:18:57, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0239, loss_cls: 6.2470, loss_bbox: 2.8935, loss: 9.2225 +2023-01-20 17:02:59,816 - mmdet - INFO - Epoch [9][1550/3696] lr: 6.000e-06, eta: 3:18:12, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0241, loss_cls: 6.2585, loss_bbox: 2.8870, loss: 9.2281 +2023-01-20 17:03:45,357 - mmdet - INFO - Epoch [9][1600/3696] lr: 6.000e-06, eta: 3:17:28, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0244, loss_cls: 6.2548, loss_bbox: 2.8747, loss: 9.2123 +2023-01-20 17:04:31,192 - mmdet - INFO - Epoch [9][1650/3696] lr: 6.000e-06, eta: 3:16:43, time: 0.917, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0242, loss_cls: 6.2591, loss_bbox: 2.8777, loss: 9.2191 +2023-01-20 17:05:17,118 - mmdet - INFO - Epoch [9][1700/3696] lr: 6.000e-06, eta: 3:15:59, time: 0.919, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0243, loss_cls: 6.2713, loss_bbox: 2.8797, loss: 9.2337 +2023-01-20 17:06:02,145 - mmdet - INFO - Epoch [9][1750/3696] lr: 6.000e-06, eta: 3:15:14, time: 0.901, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0239, loss_cls: 6.2491, loss_bbox: 2.8989, loss: 9.2300 +2023-01-20 17:06:47,976 - mmdet - INFO - Epoch [9][1800/3696] lr: 6.000e-06, eta: 3:14:29, time: 0.917, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0241, loss_cls: 6.2537, loss_bbox: 2.8839, loss: 9.2188 +2023-01-20 17:07:34,055 - mmdet - INFO - Epoch [9][1850/3696] lr: 6.000e-06, eta: 3:13:45, time: 0.922, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0244, loss_cls: 6.2628, loss_bbox: 2.8855, loss: 9.2314 +2023-01-20 17:08:19,002 - mmdet - INFO - Epoch [9][1900/3696] lr: 6.000e-06, eta: 3:13:00, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2511, loss_bbox: 2.8948, loss: 9.2276 +2023-01-20 17:09:04,343 - mmdet - INFO - Epoch [9][1950/3696] lr: 6.000e-06, eta: 3:12:15, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0242, loss_cls: 6.2587, loss_bbox: 2.8835, loss: 9.2241 +2023-01-20 17:09:49,371 - mmdet - INFO - Epoch [9][2000/3696] lr: 6.000e-06, eta: 3:11:30, time: 0.901, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0237, loss_cls: 6.2513, loss_bbox: 2.8994, loss: 9.2325 +2023-01-20 17:10:34,892 - mmdet - INFO - Epoch [9][2050/3696] lr: 6.000e-06, eta: 3:10:45, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0241, loss_cls: 6.2539, loss_bbox: 2.8819, loss: 9.2178 +2023-01-20 17:11:19,447 - mmdet - INFO - Epoch [9][2100/3696] lr: 6.000e-06, eta: 3:10:00, time: 0.891, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0235, loss_cls: 6.2442, loss_bbox: 2.9039, loss: 9.2286 +2023-01-20 17:12:05,091 - mmdet - INFO - Epoch [9][2150/3696] lr: 6.000e-06, eta: 3:09:16, time: 0.913, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0241, loss_cls: 6.2498, loss_bbox: 2.8797, loss: 9.2116 +2023-01-20 17:12:51,239 - mmdet - INFO - Epoch [9][2200/3696] lr: 6.000e-06, eta: 3:08:31, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0244, loss_cls: 6.2574, loss_bbox: 2.8509, loss: 9.1909 +2023-01-20 17:13:36,846 - mmdet - INFO - Epoch [9][2250/3696] lr: 6.000e-06, eta: 3:07:46, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0241, loss_cls: 6.2535, loss_bbox: 2.8695, loss: 9.2051 +2023-01-20 17:14:22,173 - mmdet - INFO - Epoch [9][2300/3696] lr: 6.000e-06, eta: 3:07:02, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0237, loss_cls: 6.2451, loss_bbox: 2.8878, loss: 9.2133 +2023-01-20 17:15:07,733 - mmdet - INFO - Epoch [9][2350/3696] lr: 6.000e-06, eta: 3:06:17, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0240, loss_cls: 6.2515, loss_bbox: 2.8831, loss: 9.2172 +2023-01-20 17:15:53,321 - mmdet - INFO - Epoch [9][2400/3696] lr: 6.000e-06, eta: 3:05:32, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0237, loss_cls: 6.2537, loss_bbox: 2.8732, loss: 9.2075 +2023-01-20 17:16:39,248 - mmdet - INFO - Epoch [9][2450/3696] lr: 6.000e-06, eta: 3:04:48, time: 0.919, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0241, loss_cls: 6.2516, loss_bbox: 2.8740, loss: 9.2076 +2023-01-20 17:17:24,144 - mmdet - INFO - Epoch [9][2500/3696] lr: 6.000e-06, eta: 3:04:03, time: 0.898, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0235, loss_cls: 6.2488, loss_bbox: 2.9041, loss: 9.2334 +2023-01-20 17:18:09,741 - mmdet - INFO - Epoch [9][2550/3696] lr: 6.000e-06, eta: 3:03:18, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0246, loss_cls: 6.2624, loss_bbox: 2.8721, loss: 9.2181 +2023-01-20 17:18:55,277 - mmdet - INFO - Epoch [9][2600/3696] lr: 6.000e-06, eta: 3:02:33, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0242, loss_cls: 6.2544, loss_bbox: 2.8721, loss: 9.2089 +2023-01-20 17:19:40,817 - mmdet - INFO - Epoch [9][2650/3696] lr: 6.000e-06, eta: 3:01:48, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0241, loss_cls: 6.2518, loss_bbox: 2.8852, loss: 9.2187 +2023-01-20 17:20:26,850 - mmdet - INFO - Epoch [9][2700/3696] lr: 6.000e-06, eta: 3:01:04, time: 0.921, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2552, loss_bbox: 2.8828, loss: 9.2194 +2023-01-20 17:21:12,673 - mmdet - INFO - Epoch [9][2750/3696] lr: 6.000e-06, eta: 3:00:19, time: 0.916, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2507, loss_bbox: 2.8872, loss: 9.2201 +2023-01-20 17:21:57,628 - mmdet - INFO - Epoch [9][2800/3696] lr: 6.000e-06, eta: 2:59:34, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0236, loss_cls: 6.2460, loss_bbox: 2.8895, loss: 9.2162 +2023-01-20 17:22:42,997 - mmdet - INFO - Epoch [9][2850/3696] lr: 6.000e-06, eta: 2:58:50, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2482, loss_bbox: 2.8846, loss: 9.2145 +2023-01-20 17:23:28,069 - mmdet - INFO - Epoch [9][2900/3696] lr: 6.000e-06, eta: 2:58:05, time: 0.901, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0238, loss_cls: 6.2544, loss_bbox: 2.8899, loss: 9.2256 +2023-01-20 17:24:13,591 - mmdet - INFO - Epoch [9][2950/3696] lr: 6.000e-06, eta: 2:57:20, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0235, loss_cls: 6.2490, loss_bbox: 2.9046, loss: 9.2335 +2023-01-20 17:24:59,378 - mmdet - INFO - Epoch [9][3000/3696] lr: 6.000e-06, eta: 2:56:35, time: 0.916, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0236, loss_cls: 6.2446, loss_bbox: 2.8812, loss: 9.2067 +2023-01-20 17:25:45,061 - mmdet - INFO - Epoch [9][3050/3696] lr: 6.000e-06, eta: 2:55:51, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2493, loss_bbox: 2.8693, loss: 9.2003 +2023-01-20 17:26:31,024 - mmdet - INFO - Epoch [9][3100/3696] lr: 6.000e-06, eta: 2:55:06, time: 0.919, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0241, loss_cls: 6.2537, loss_bbox: 2.8759, loss: 9.2114 +2023-01-20 17:27:16,393 - mmdet - INFO - Epoch [9][3150/3696] lr: 6.000e-06, eta: 2:54:21, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2532, loss_bbox: 2.8806, loss: 9.2152 +2023-01-20 17:28:02,082 - mmdet - INFO - Epoch [9][3200/3696] lr: 6.000e-06, eta: 2:53:36, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0242, loss_cls: 6.2545, loss_bbox: 2.8735, loss: 9.2103 +2023-01-20 17:28:47,943 - mmdet - INFO - Epoch [9][3250/3696] lr: 6.000e-06, eta: 2:52:52, time: 0.917, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0246, loss_cls: 6.2569, loss_bbox: 2.8701, loss: 9.2104 +2023-01-20 17:29:33,078 - mmdet - INFO - Epoch [9][3300/3696] lr: 6.000e-06, eta: 2:52:07, time: 0.903, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0238, loss_cls: 6.2500, loss_bbox: 2.8840, loss: 9.2144 +2023-01-20 17:30:18,550 - mmdet - INFO - Epoch [9][3350/3696] lr: 6.000e-06, eta: 2:51:22, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2463, loss_bbox: 2.8755, loss: 9.2039 +2023-01-20 17:31:04,029 - mmdet - INFO - Epoch [9][3400/3696] lr: 6.000e-06, eta: 2:50:37, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0243, loss_cls: 6.2535, loss_bbox: 2.8785, loss: 9.2153 +2023-01-20 17:31:49,320 - mmdet - INFO - Epoch [9][3450/3696] lr: 6.000e-06, eta: 2:49:52, time: 0.906, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0240, loss_cls: 6.2544, loss_bbox: 2.8843, loss: 9.2210 +2023-01-20 17:32:34,890 - mmdet - INFO - Epoch [9][3500/3696] lr: 6.000e-06, eta: 2:49:08, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0238, loss_cls: 6.2423, loss_bbox: 2.8846, loss: 9.2082 +2023-01-20 17:33:19,751 - mmdet - INFO - Epoch [9][3550/3696] lr: 6.000e-06, eta: 2:48:23, time: 0.897, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0234, loss_cls: 6.2321, loss_bbox: 2.9048, loss: 9.2173 +2023-01-20 17:34:05,928 - mmdet - INFO - Epoch [9][3600/3696] lr: 6.000e-06, eta: 2:47:38, time: 0.924, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0244, loss_cls: 6.2601, loss_bbox: 2.8727, loss: 9.2154 +2023-01-20 17:34:51,449 - mmdet - INFO - Epoch [9][3650/3696] lr: 6.000e-06, eta: 2:46:53, time: 0.910, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0240, loss_cls: 6.2501, loss_bbox: 2.8737, loss: 9.2058 +2023-01-20 17:35:34,268 - mmdet - INFO - Saving checkpoint at 9 epochs +2023-01-20 17:36:25,942 - mmdet - INFO - Epoch [10][50/3696] lr: 6.000e-06, eta: 2:45:14, time: 0.969, data_time: 0.074, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0243, loss_cls: 6.2585, loss_bbox: 2.8701, loss: 9.2114 +2023-01-20 17:37:11,151 - mmdet - INFO - Epoch [10][100/3696] lr: 6.000e-06, eta: 2:44:30, time: 0.904, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0242, loss_cls: 6.2550, loss_bbox: 2.8638, loss: 9.2016 +2023-01-20 17:37:57,132 - mmdet - INFO - Epoch [10][150/3696] lr: 6.000e-06, eta: 2:43:45, time: 0.920, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0238, loss_cls: 6.2441, loss_bbox: 2.8865, loss: 9.2119 +2023-01-20 17:38:42,122 - mmdet - INFO - Epoch [10][200/3696] lr: 6.000e-06, eta: 2:43:00, time: 0.900, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0237, loss_cls: 6.2435, loss_bbox: 2.8958, loss: 9.2201 +2023-01-20 17:39:27,596 - mmdet - INFO - Epoch [10][250/3696] lr: 6.000e-06, eta: 2:42:15, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2457, loss_bbox: 2.8809, loss: 9.2082 +2023-01-20 17:40:13,283 - mmdet - INFO - Epoch [10][300/3696] lr: 6.000e-06, eta: 2:41:31, time: 0.914, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2477, loss_bbox: 2.8746, loss: 9.2037 +2023-01-20 17:40:59,680 - mmdet - INFO - Epoch [10][350/3696] lr: 6.000e-06, eta: 2:40:46, time: 0.928, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0246, loss_cls: 6.2596, loss_bbox: 2.8616, loss: 9.2058 +2023-01-20 17:41:44,696 - mmdet - INFO - Epoch [10][400/3696] lr: 6.000e-06, eta: 2:40:01, time: 0.900, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0237, loss_cls: 6.2437, loss_bbox: 2.8939, loss: 9.2181 +2023-01-20 17:42:29,644 - mmdet - INFO - Epoch [10][450/3696] lr: 6.000e-06, eta: 2:39:16, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0237, loss_cls: 6.2352, loss_bbox: 2.8963, loss: 9.2120 +2023-01-20 17:43:15,235 - mmdet - INFO - Epoch [10][500/3696] lr: 6.000e-06, eta: 2:38:32, time: 0.912, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0237, loss_cls: 6.2421, loss_bbox: 2.8733, loss: 9.1967 +2023-01-20 17:44:01,116 - mmdet - INFO - Epoch [10][550/3696] lr: 6.000e-06, eta: 2:37:47, time: 0.918, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0247, loss_cls: 6.2733, loss_bbox: 2.8768, loss: 9.2340 +2023-01-20 17:44:46,624 - mmdet - INFO - Epoch [10][600/3696] lr: 6.000e-06, eta: 2:37:02, time: 0.910, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0240, loss_cls: 6.2451, loss_bbox: 2.8779, loss: 9.2050 +2023-01-20 17:45:32,624 - mmdet - INFO - Epoch [10][650/3696] lr: 6.000e-06, eta: 2:36:18, time: 0.920, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0243, loss_cls: 6.2586, loss_bbox: 2.8712, loss: 9.2128 +2023-01-20 17:46:18,239 - mmdet - INFO - Epoch [10][700/3696] lr: 6.000e-06, eta: 2:35:33, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0239, loss_cls: 6.2439, loss_bbox: 2.8751, loss: 9.2008 +2023-01-20 17:47:03,957 - mmdet - INFO - Epoch [10][750/3696] lr: 6.000e-06, eta: 2:34:48, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0241, loss_cls: 6.2514, loss_bbox: 2.8795, loss: 9.2133 +2023-01-20 17:47:50,124 - mmdet - INFO - Epoch [10][800/3696] lr: 6.000e-06, eta: 2:34:04, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0241, loss_cls: 6.2526, loss_bbox: 2.8698, loss: 9.2036 +2023-01-20 17:48:34,654 - mmdet - INFO - Epoch [10][850/3696] lr: 6.000e-06, eta: 2:33:19, time: 0.891, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0236, loss_cls: 6.2463, loss_bbox: 2.9135, loss: 9.2411 +2023-01-20 17:49:19,730 - mmdet - INFO - Epoch [10][900/3696] lr: 6.000e-06, eta: 2:32:34, time: 0.902, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0237, loss_cls: 6.2443, loss_bbox: 2.8862, loss: 9.2111 +2023-01-20 17:50:05,116 - mmdet - INFO - Epoch [10][950/3696] lr: 6.000e-06, eta: 2:31:49, time: 0.908, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0238, loss_cls: 6.2452, loss_bbox: 2.8790, loss: 9.2056 +2023-01-20 17:50:50,074 - mmdet - INFO - Epoch [10][1000/3696] lr: 6.000e-06, eta: 2:31:04, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0242, loss_cls: 6.2608, loss_bbox: 2.8762, loss: 9.2189 +2023-01-20 17:51:35,376 - mmdet - INFO - Epoch [10][1050/3696] lr: 6.000e-06, eta: 2:30:19, time: 0.906, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0240, loss_cls: 6.2538, loss_bbox: 2.8782, loss: 9.2141 +2023-01-20 17:52:20,331 - mmdet - INFO - Epoch [10][1100/3696] lr: 6.000e-06, eta: 2:29:35, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0231, loss_cls: 6.2385, loss_bbox: 2.9070, loss: 9.2245 +2023-01-20 17:53:05,739 - mmdet - INFO - Epoch [10][1150/3696] lr: 6.000e-06, eta: 2:28:50, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0237, loss_cls: 6.2464, loss_bbox: 2.8811, loss: 9.2079 +2023-01-20 17:53:51,261 - mmdet - INFO - Epoch [10][1200/3696] lr: 6.000e-06, eta: 2:28:05, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0235, loss_cls: 6.2359, loss_bbox: 2.8720, loss: 9.1886 +2023-01-20 17:54:36,402 - mmdet - INFO - Epoch [10][1250/3696] lr: 6.000e-06, eta: 2:27:20, time: 0.903, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0236, loss_cls: 6.2407, loss_bbox: 2.8916, loss: 9.2124 +2023-01-20 17:55:21,841 - mmdet - INFO - Epoch [10][1300/3696] lr: 6.000e-06, eta: 2:26:35, time: 0.909, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0240, loss_cls: 6.2541, loss_bbox: 2.8827, loss: 9.2187 +2023-01-20 17:56:06,600 - mmdet - INFO - Epoch [10][1350/3696] lr: 6.000e-06, eta: 2:25:50, time: 0.895, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0240, loss_cls: 6.2475, loss_bbox: 2.8789, loss: 9.2083 +2023-01-20 17:56:51,608 - mmdet - INFO - Epoch [10][1400/3696] lr: 6.000e-06, eta: 2:25:05, time: 0.900, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0240, loss_cls: 6.2569, loss_bbox: 2.8907, loss: 9.2288 +2023-01-20 17:57:37,048 - mmdet - INFO - Epoch [10][1450/3696] lr: 6.000e-06, eta: 2:24:21, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0244, loss_cls: 6.2619, loss_bbox: 2.8811, loss: 9.2262 +2023-01-20 17:58:22,768 - mmdet - INFO - Epoch [10][1500/3696] lr: 6.000e-06, eta: 2:23:36, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0240, loss_cls: 6.2545, loss_bbox: 2.8796, loss: 9.2163 +2023-01-20 17:59:08,304 - mmdet - INFO - Epoch [10][1550/3696] lr: 6.000e-06, eta: 2:22:51, time: 0.911, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0239, loss_cls: 6.2400, loss_bbox: 2.8860, loss: 9.2085 +2023-01-20 17:59:53,561 - mmdet - INFO - Epoch [10][1600/3696] lr: 6.000e-06, eta: 2:22:06, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0236, loss_cls: 6.2377, loss_bbox: 2.8911, loss: 9.2103 +2023-01-20 18:00:38,752 - mmdet - INFO - Epoch [10][1650/3696] lr: 6.000e-06, eta: 2:21:21, time: 0.904, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0238, loss_cls: 6.2488, loss_bbox: 2.8852, loss: 9.2152 +2023-01-20 18:01:24,246 - mmdet - INFO - Epoch [10][1700/3696] lr: 6.000e-06, eta: 2:20:37, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0243, loss_cls: 6.2617, loss_bbox: 2.8778, loss: 9.2222 +2023-01-20 18:02:10,020 - mmdet - INFO - Epoch [10][1750/3696] lr: 6.000e-06, eta: 2:19:52, time: 0.915, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0243, loss_cls: 6.2570, loss_bbox: 2.8670, loss: 9.2066 +2023-01-20 18:02:55,582 - mmdet - INFO - Epoch [10][1800/3696] lr: 6.000e-06, eta: 2:19:07, time: 0.911, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0235, loss_cls: 6.2364, loss_bbox: 2.8895, loss: 9.2063 +2023-01-20 18:03:41,366 - mmdet - INFO - Epoch [10][1850/3696] lr: 6.000e-06, eta: 2:18:22, time: 0.916, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0243, loss_cls: 6.2594, loss_bbox: 2.8719, loss: 9.2145 +2023-01-20 18:04:26,829 - mmdet - INFO - Epoch [10][1900/3696] lr: 6.000e-06, eta: 2:17:38, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0241, loss_cls: 6.2536, loss_bbox: 2.8872, loss: 9.2236 +2023-01-20 18:05:11,882 - mmdet - INFO - Epoch [10][1950/3696] lr: 6.000e-06, eta: 2:16:53, time: 0.901, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0237, loss_cls: 6.2371, loss_bbox: 2.8829, loss: 9.2007 +2023-01-20 18:05:57,035 - mmdet - INFO - Epoch [10][2000/3696] lr: 6.000e-06, eta: 2:16:08, time: 0.903, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0242, loss_cls: 6.2587, loss_bbox: 2.8824, loss: 9.2236 +2023-01-20 18:06:42,788 - mmdet - INFO - Epoch [10][2050/3696] lr: 6.000e-06, eta: 2:15:23, time: 0.915, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0241, loss_cls: 6.2519, loss_bbox: 2.8774, loss: 9.2117 +2023-01-20 18:07:28,198 - mmdet - INFO - Epoch [10][2100/3696] lr: 6.000e-06, eta: 2:14:38, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0235, loss_cls: 6.2392, loss_bbox: 2.8911, loss: 9.2105 +2023-01-20 18:08:13,429 - mmdet - INFO - Epoch [10][2150/3696] lr: 6.000e-06, eta: 2:13:53, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0237, loss_cls: 6.2409, loss_bbox: 2.8969, loss: 9.2189 +2023-01-20 18:08:58,919 - mmdet - INFO - Epoch [10][2200/3696] lr: 6.000e-06, eta: 2:13:09, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2603, loss_bbox: 2.8870, loss: 9.2295 +2023-01-20 18:09:44,603 - mmdet - INFO - Epoch [10][2250/3696] lr: 6.000e-06, eta: 2:12:24, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0240, loss_cls: 6.2474, loss_bbox: 2.8749, loss: 9.2048 +2023-01-20 18:10:29,946 - mmdet - INFO - Epoch [10][2300/3696] lr: 6.000e-06, eta: 2:11:39, time: 0.907, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0240, loss_cls: 6.2452, loss_bbox: 2.8747, loss: 9.2011 +2023-01-20 18:11:15,391 - mmdet - INFO - Epoch [10][2350/3696] lr: 6.000e-06, eta: 2:10:54, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0244, loss_cls: 6.2576, loss_bbox: 2.8741, loss: 9.2140 +2023-01-20 18:12:00,683 - mmdet - INFO - Epoch [10][2400/3696] lr: 6.000e-06, eta: 2:10:09, time: 0.906, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0238, loss_cls: 6.2520, loss_bbox: 2.9011, loss: 9.2339 +2023-01-20 18:12:46,540 - mmdet - INFO - Epoch [10][2450/3696] lr: 6.000e-06, eta: 2:09:25, time: 0.917, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2526, loss_bbox: 2.8713, loss: 9.2053 +2023-01-20 18:13:32,675 - mmdet - INFO - Epoch [10][2500/3696] lr: 6.000e-06, eta: 2:08:40, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0241, loss_cls: 6.2528, loss_bbox: 2.8698, loss: 9.2045 +2023-01-20 18:14:18,473 - mmdet - INFO - Epoch [10][2550/3696] lr: 6.000e-06, eta: 2:07:55, time: 0.916, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0243, loss_cls: 6.2571, loss_bbox: 2.8739, loss: 9.2140 +2023-01-20 18:15:03,800 - mmdet - INFO - Epoch [10][2600/3696] lr: 6.000e-06, eta: 2:07:10, time: 0.907, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0235, loss_cls: 6.2447, loss_bbox: 2.8929, loss: 9.2178 +2023-01-20 18:15:48,957 - mmdet - INFO - Epoch [10][2650/3696] lr: 6.000e-06, eta: 2:06:25, time: 0.903, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0235, loss_cls: 6.2426, loss_bbox: 2.8813, loss: 9.2040 +2023-01-20 18:16:34,194 - mmdet - INFO - Epoch [10][2700/3696] lr: 6.000e-06, eta: 2:05:41, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0233, loss_cls: 6.2392, loss_bbox: 2.8862, loss: 9.2050 +2023-01-20 18:17:19,196 - mmdet - INFO - Epoch [10][2750/3696] lr: 6.000e-06, eta: 2:04:56, time: 0.900, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0240, loss_cls: 6.2575, loss_bbox: 2.8883, loss: 9.2270 +2023-01-20 18:18:04,319 - mmdet - INFO - Epoch [10][2800/3696] lr: 6.000e-06, eta: 2:04:11, time: 0.902, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0237, loss_cls: 6.2468, loss_bbox: 2.8859, loss: 9.2137 +2023-01-20 18:18:50,812 - mmdet - INFO - Epoch [10][2850/3696] lr: 6.000e-06, eta: 2:03:26, time: 0.930, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0249, loss_cls: 6.2714, loss_bbox: 2.8554, loss: 9.2111 +2023-01-20 18:19:36,537 - mmdet - INFO - Epoch [10][2900/3696] lr: 6.000e-06, eta: 2:02:41, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0240, loss_cls: 6.2421, loss_bbox: 2.8863, loss: 9.2104 +2023-01-20 18:20:22,523 - mmdet - INFO - Epoch [10][2950/3696] lr: 6.000e-06, eta: 2:01:57, time: 0.920, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0241, loss_cls: 6.2532, loss_bbox: 2.8833, loss: 9.2188 +2023-01-20 18:21:07,933 - mmdet - INFO - Epoch [10][3000/3696] lr: 6.000e-06, eta: 2:01:12, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0244, loss_cls: 6.2621, loss_bbox: 2.8684, loss: 9.2137 +2023-01-20 18:21:54,143 - mmdet - INFO - Epoch [10][3050/3696] lr: 6.000e-06, eta: 2:00:27, time: 0.924, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0243, loss_cls: 6.2658, loss_bbox: 2.8647, loss: 9.2120 +2023-01-20 18:22:39,939 - mmdet - INFO - Epoch [10][3100/3696] lr: 6.000e-06, eta: 1:59:42, time: 0.916, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0245, loss_cls: 6.2553, loss_bbox: 2.8758, loss: 9.2143 +2023-01-20 18:23:26,351 - mmdet - INFO - Epoch [10][3150/3696] lr: 6.000e-06, eta: 1:58:58, time: 0.928, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2480, loss_bbox: 2.8771, loss: 9.2074 +2023-01-20 18:24:11,342 - mmdet - INFO - Epoch [10][3200/3696] lr: 6.000e-06, eta: 1:58:13, time: 0.900, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2466, loss_bbox: 2.8873, loss: 9.2154 +2023-01-20 18:24:56,954 - mmdet - INFO - Epoch [10][3250/3696] lr: 6.000e-06, eta: 1:57:28, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0239, loss_cls: 6.2410, loss_bbox: 2.8760, loss: 9.1986 +2023-01-20 18:25:42,198 - mmdet - INFO - Epoch [10][3300/3696] lr: 6.000e-06, eta: 1:56:43, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0238, loss_cls: 6.2444, loss_bbox: 2.8789, loss: 9.2044 +2023-01-20 18:26:27,573 - mmdet - INFO - Epoch [10][3350/3696] lr: 6.000e-06, eta: 1:55:58, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0235, loss_cls: 6.2452, loss_bbox: 2.8843, loss: 9.2094 +2023-01-20 18:27:12,815 - mmdet - INFO - Epoch [10][3400/3696] lr: 6.000e-06, eta: 1:55:13, time: 0.905, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0239, loss_cls: 6.2484, loss_bbox: 2.9012, loss: 9.2312 +2023-01-20 18:27:57,951 - mmdet - INFO - Epoch [10][3450/3696] lr: 6.000e-06, eta: 1:54:28, time: 0.903, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0239, loss_cls: 6.2528, loss_bbox: 2.8676, loss: 9.2013 +2023-01-20 18:28:45,254 - mmdet - INFO - Epoch [10][3500/3696] lr: 6.000e-06, eta: 1:53:44, time: 0.946, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0242, loss_cls: 6.2597, loss_bbox: 2.8861, loss: 9.2273 +2023-01-20 18:29:30,594 - mmdet - INFO - Epoch [10][3550/3696] lr: 6.000e-06, eta: 1:52:59, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0236, loss_cls: 6.2398, loss_bbox: 2.8939, loss: 9.2142 +2023-01-20 18:30:15,946 - mmdet - INFO - Epoch [10][3600/3696] lr: 6.000e-06, eta: 1:52:14, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0235, loss_cls: 6.2385, loss_bbox: 2.8899, loss: 9.2088 +2023-01-20 18:31:02,597 - mmdet - INFO - Epoch [10][3650/3696] lr: 6.000e-06, eta: 1:51:29, time: 0.933, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0242, loss_cls: 6.2519, loss_bbox: 2.8649, loss: 9.1985 +2023-01-20 18:31:44,703 - mmdet - INFO - Saving checkpoint at 10 epochs +2023-01-20 18:32:43,441 - mmdet - INFO - Epoch [11][50/3696] lr: 6.000e-06, eta: 1:49:57, time: 1.112, data_time: 0.076, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0244, loss_cls: 6.2554, loss_bbox: 2.8571, loss: 9.1957 +2023-01-20 18:33:30,709 - mmdet - INFO - Epoch [11][100/3696] lr: 6.000e-06, eta: 1:49:12, time: 0.945, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0237, loss_cls: 6.2439, loss_bbox: 2.8890, loss: 9.2135 +2023-01-20 18:34:20,935 - mmdet - INFO - Epoch [11][150/3696] lr: 6.000e-06, eta: 1:48:29, time: 1.005, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0243, loss_cls: 6.2585, loss_bbox: 2.8781, loss: 9.2190 +2023-01-20 18:35:08,753 - mmdet - INFO - Epoch [11][200/3696] lr: 6.000e-06, eta: 1:47:44, time: 0.956, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2399, loss_bbox: 2.8972, loss: 9.2184 +2023-01-20 18:35:54,696 - mmdet - INFO - Epoch [11][250/3696] lr: 6.000e-06, eta: 1:46:59, time: 0.919, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0241, loss_cls: 6.2454, loss_bbox: 2.8679, loss: 9.1957 +2023-01-20 18:36:40,325 - mmdet - INFO - Epoch [11][300/3696] lr: 6.000e-06, eta: 1:46:15, time: 0.913, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0241, loss_cls: 6.2559, loss_bbox: 2.8919, loss: 9.2299 +2023-01-20 18:37:25,746 - mmdet - INFO - Epoch [11][350/3696] lr: 6.000e-06, eta: 1:45:30, time: 0.908, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0237, loss_cls: 6.2468, loss_bbox: 2.8938, loss: 9.2216 +2023-01-20 18:38:11,244 - mmdet - INFO - Epoch [11][400/3696] lr: 6.000e-06, eta: 1:44:45, time: 0.910, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0241, loss_cls: 6.2501, loss_bbox: 2.8882, loss: 9.2204 +2023-01-20 18:38:57,933 - mmdet - INFO - Epoch [11][450/3696] lr: 6.000e-06, eta: 1:44:00, time: 0.934, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0240, loss_cls: 6.2434, loss_bbox: 2.8577, loss: 9.1829 +2023-01-20 18:39:43,302 - mmdet - INFO - Epoch [11][500/3696] lr: 6.000e-06, eta: 1:43:15, time: 0.907, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2468, loss_bbox: 2.8814, loss: 9.2104 +2023-01-20 18:40:28,837 - mmdet - INFO - Epoch [11][550/3696] lr: 6.000e-06, eta: 1:42:31, time: 0.911, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0240, loss_cls: 6.2471, loss_bbox: 2.8800, loss: 9.2089 +2023-01-20 18:41:14,329 - mmdet - INFO - Epoch [11][600/3696] lr: 6.000e-06, eta: 1:41:46, time: 0.910, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0239, loss_cls: 6.2458, loss_bbox: 2.8889, loss: 9.2161 +2023-01-20 18:42:00,307 - mmdet - INFO - Epoch [11][650/3696] lr: 6.000e-06, eta: 1:41:01, time: 0.920, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.2541, loss_bbox: 2.8801, loss: 9.2164 +2023-01-20 18:42:45,636 - mmdet - INFO - Epoch [11][700/3696] lr: 6.000e-06, eta: 1:40:16, time: 0.907, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2441, loss_bbox: 2.8809, loss: 9.2064 +2023-01-20 18:43:30,738 - mmdet - INFO - Epoch [11][750/3696] lr: 6.000e-06, eta: 1:39:31, time: 0.902, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0237, loss_cls: 6.2414, loss_bbox: 2.8974, loss: 9.2199 +2023-01-20 18:44:16,049 - mmdet - INFO - Epoch [11][800/3696] lr: 6.000e-06, eta: 1:38:46, time: 0.906, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2443, loss_bbox: 2.8952, loss: 9.2208 +2023-01-20 18:45:01,757 - mmdet - INFO - Epoch [11][850/3696] lr: 6.000e-06, eta: 1:38:01, time: 0.914, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0238, loss_cls: 6.2446, loss_bbox: 2.8774, loss: 9.2034 +2023-01-20 18:45:47,455 - mmdet - INFO - Epoch [11][900/3696] lr: 6.000e-06, eta: 1:37:17, time: 0.914, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0236, loss_cls: 6.2425, loss_bbox: 2.8797, loss: 9.2026 +2023-01-20 18:46:32,940 - mmdet - INFO - Epoch [11][950/3696] lr: 6.000e-06, eta: 1:36:32, time: 0.910, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0238, loss_cls: 6.2500, loss_bbox: 2.8740, loss: 9.2049 +2023-01-20 18:47:18,767 - mmdet - INFO - Epoch [11][1000/3696] lr: 6.000e-06, eta: 1:35:47, time: 0.916, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2511, loss_bbox: 2.8725, loss: 9.2052 +2023-01-20 18:48:03,945 - mmdet - INFO - Epoch [11][1050/3696] lr: 6.000e-06, eta: 1:35:02, time: 0.904, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0235, loss_cls: 6.2378, loss_bbox: 2.8841, loss: 9.2029 +2023-01-20 18:48:49,169 - mmdet - INFO - Epoch [11][1100/3696] lr: 6.000e-06, eta: 1:34:17, time: 0.904, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0238, loss_cls: 6.2489, loss_bbox: 2.8888, loss: 9.2186 +2023-01-20 18:49:34,846 - mmdet - INFO - Epoch [11][1150/3696] lr: 6.000e-06, eta: 1:33:32, time: 0.914, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0242, loss_cls: 6.2497, loss_bbox: 2.8851, loss: 9.2170 +2023-01-20 18:50:20,809 - mmdet - INFO - Epoch [11][1200/3696] lr: 6.000e-06, eta: 1:32:47, time: 0.919, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0236, loss_cls: 6.2456, loss_bbox: 2.8736, loss: 9.1995 +2023-01-20 18:51:06,791 - mmdet - INFO - Epoch [11][1250/3696] lr: 6.000e-06, eta: 1:32:03, time: 0.920, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0242, loss_cls: 6.2577, loss_bbox: 2.8721, loss: 9.2124 +2023-01-20 18:51:52,348 - mmdet - INFO - Epoch [11][1300/3696] lr: 6.000e-06, eta: 1:31:18, time: 0.911, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0241, loss_cls: 6.2436, loss_bbox: 2.8751, loss: 9.2009 +2023-01-20 18:52:38,662 - mmdet - INFO - Epoch [11][1350/3696] lr: 6.000e-06, eta: 1:30:33, time: 0.926, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0246, loss_cls: 6.2623, loss_bbox: 2.8619, loss: 9.2074 +2023-01-20 18:53:24,423 - mmdet - INFO - Epoch [11][1400/3696] lr: 6.000e-06, eta: 1:29:48, time: 0.915, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0243, loss_cls: 6.2541, loss_bbox: 2.8684, loss: 9.2050 +2023-01-20 18:54:09,825 - mmdet - INFO - Epoch [11][1450/3696] lr: 6.000e-06, eta: 1:29:03, time: 0.908, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0236, loss_cls: 6.2391, loss_bbox: 2.8892, loss: 9.2086 +2023-01-20 18:54:55,575 - mmdet - INFO - Epoch [11][1500/3696] lr: 6.000e-06, eta: 1:28:18, time: 0.915, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0240, loss_cls: 6.2483, loss_bbox: 2.8846, loss: 9.2145 +2023-01-20 18:55:40,651 - mmdet - INFO - Epoch [11][1550/3696] lr: 6.000e-06, eta: 1:27:33, time: 0.902, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0234, loss_cls: 6.2342, loss_bbox: 2.8966, loss: 9.2103 +2023-01-20 18:56:26,343 - mmdet - INFO - Epoch [11][1600/3696] lr: 6.000e-06, eta: 1:26:49, time: 0.914, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0242, loss_cls: 6.2503, loss_bbox: 2.8765, loss: 9.2097 +2023-01-20 18:57:11,778 - mmdet - INFO - Epoch [11][1650/3696] lr: 6.000e-06, eta: 1:26:04, time: 0.909, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0237, loss_cls: 6.2434, loss_bbox: 2.8824, loss: 9.2066 +2023-01-20 18:57:57,172 - mmdet - INFO - Epoch [11][1700/3696] lr: 6.000e-06, eta: 1:25:19, time: 0.908, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0240, loss_cls: 6.2488, loss_bbox: 2.8841, loss: 9.2150 +2023-01-20 18:58:42,859 - mmdet - INFO - Epoch [11][1750/3696] lr: 6.000e-06, eta: 1:24:34, time: 0.914, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0239, loss_cls: 6.2529, loss_bbox: 2.8815, loss: 9.2164 +2023-01-20 18:59:28,341 - mmdet - INFO - Epoch [11][1800/3696] lr: 6.000e-06, eta: 1:23:49, time: 0.910, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0238, loss_cls: 6.2430, loss_bbox: 2.8785, loss: 9.2033 +2023-01-20 19:00:13,532 - mmdet - INFO - Epoch [11][1850/3696] lr: 6.000e-06, eta: 1:23:04, time: 0.904, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0238, loss_cls: 6.2478, loss_bbox: 2.8853, loss: 9.2142 +2023-01-20 19:00:59,219 - mmdet - INFO - Epoch [11][1900/3696] lr: 6.000e-06, eta: 1:22:19, time: 0.914, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0241, loss_cls: 6.2492, loss_bbox: 2.8842, loss: 9.2154 +2023-01-20 19:01:44,000 - mmdet - INFO - Epoch [11][1950/3696] lr: 6.000e-06, eta: 1:21:34, time: 0.896, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0238, loss_cls: 6.2538, loss_bbox: 2.8948, loss: 9.2292 +2023-01-20 19:02:29,473 - mmdet - INFO - Epoch [11][2000/3696] lr: 6.000e-06, eta: 1:20:49, time: 0.909, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.2498, loss_bbox: 2.8776, loss: 9.2096 +2023-01-20 19:03:14,728 - mmdet - INFO - Epoch [11][2050/3696] lr: 6.000e-06, eta: 1:20:04, time: 0.905, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2601, loss_bbox: 2.8796, loss: 9.2212 +2023-01-20 19:04:00,318 - mmdet - INFO - Epoch [11][2100/3696] lr: 6.000e-06, eta: 1:19:20, time: 0.912, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0242, loss_cls: 6.2571, loss_bbox: 2.8685, loss: 9.2078 +2023-01-20 19:04:45,919 - mmdet - INFO - Epoch [11][2150/3696] lr: 6.000e-06, eta: 1:18:35, time: 0.912, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0243, loss_cls: 6.2493, loss_bbox: 2.8684, loss: 9.1996 +2023-01-20 19:05:32,480 - mmdet - INFO - Epoch [11][2200/3696] lr: 6.000e-06, eta: 1:17:50, time: 0.931, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0244, loss_cls: 6.2559, loss_bbox: 2.8597, loss: 9.1980 +2023-01-20 19:06:17,985 - mmdet - INFO - Epoch [11][2250/3696] lr: 6.000e-06, eta: 1:17:05, time: 0.910, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0237, loss_cls: 6.2456, loss_bbox: 2.8852, loss: 9.2111 +2023-01-20 19:07:04,039 - mmdet - INFO - Epoch [11][2300/3696] lr: 6.000e-06, eta: 1:16:20, time: 0.921, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0239, loss_cls: 6.2491, loss_bbox: 2.8729, loss: 9.2039 +2023-01-20 19:07:49,406 - mmdet - INFO - Epoch [11][2350/3696] lr: 6.000e-06, eta: 1:15:35, time: 0.907, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0240, loss_cls: 6.2414, loss_bbox: 2.8699, loss: 9.1931 +2023-01-20 19:08:35,036 - mmdet - INFO - Epoch [11][2400/3696] lr: 6.000e-06, eta: 1:14:50, time: 0.913, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0235, loss_cls: 6.2446, loss_bbox: 2.8940, loss: 9.2190 +2023-01-20 19:09:20,655 - mmdet - INFO - Epoch [11][2450/3696] lr: 6.000e-06, eta: 1:14:05, time: 0.912, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0239, loss_cls: 6.2452, loss_bbox: 2.8744, loss: 9.2010 +2023-01-20 19:10:06,403 - mmdet - INFO - Epoch [11][2500/3696] lr: 6.000e-06, eta: 1:13:21, time: 0.915, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0242, loss_cls: 6.2638, loss_bbox: 2.8788, loss: 9.2244 +2023-01-20 19:10:51,709 - mmdet - INFO - Epoch [11][2550/3696] lr: 6.000e-06, eta: 1:12:36, time: 0.906, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2476, loss_bbox: 2.8837, loss: 9.2130 +2023-01-20 19:11:37,291 - mmdet - INFO - Epoch [11][2600/3696] lr: 6.000e-06, eta: 1:11:51, time: 0.912, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0240, loss_cls: 6.2514, loss_bbox: 2.8775, loss: 9.2105 +2023-01-20 19:12:22,782 - mmdet - INFO - Epoch [11][2650/3696] lr: 6.000e-06, eta: 1:11:06, time: 0.910, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0238, loss_cls: 6.2482, loss_bbox: 2.8928, loss: 9.2226 +2023-01-20 19:13:08,526 - mmdet - INFO - Epoch [11][2700/3696] lr: 6.000e-06, eta: 1:10:21, time: 0.915, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0242, loss_cls: 6.2530, loss_bbox: 2.8727, loss: 9.2078 +2023-01-20 19:13:54,265 - mmdet - INFO - Epoch [11][2750/3696] lr: 6.000e-06, eta: 1:09:36, time: 0.915, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0240, loss_cls: 6.2432, loss_bbox: 2.8766, loss: 9.2009 +2023-01-20 19:14:39,619 - mmdet - INFO - Epoch [11][2800/3696] lr: 6.000e-06, eta: 1:08:51, time: 0.907, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0239, loss_cls: 6.2509, loss_bbox: 2.8766, loss: 9.2089 +2023-01-20 19:15:24,977 - mmdet - INFO - Epoch [11][2850/3696] lr: 6.000e-06, eta: 1:08:06, time: 0.907, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2532, loss_bbox: 2.8887, loss: 9.2234 +2023-01-20 19:16:10,601 - mmdet - INFO - Epoch [11][2900/3696] lr: 6.000e-06, eta: 1:07:21, time: 0.912, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0240, loss_cls: 6.2498, loss_bbox: 2.8683, loss: 9.2001 +2023-01-20 19:16:55,885 - mmdet - INFO - Epoch [11][2950/3696] lr: 6.000e-06, eta: 1:06:36, time: 0.906, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0240, loss_cls: 6.2541, loss_bbox: 2.8856, loss: 9.2212 +2023-01-20 19:17:41,035 - mmdet - INFO - Epoch [11][3000/3696] lr: 6.000e-06, eta: 1:05:51, time: 0.903, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0239, loss_cls: 6.2461, loss_bbox: 2.8933, loss: 9.2203 +2023-01-20 19:18:26,229 - mmdet - INFO - Epoch [11][3050/3696] lr: 6.000e-06, eta: 1:05:06, time: 0.904, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0233, loss_cls: 6.2342, loss_bbox: 2.8939, loss: 9.2077 +2023-01-20 19:19:12,356 - mmdet - INFO - Epoch [11][3100/3696] lr: 6.000e-06, eta: 1:04:21, time: 0.923, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0241, loss_cls: 6.2499, loss_bbox: 2.8657, loss: 9.1980 +2023-01-20 19:19:57,658 - mmdet - INFO - Epoch [11][3150/3696] lr: 6.000e-06, eta: 1:03:36, time: 0.906, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0236, loss_cls: 6.2465, loss_bbox: 2.8857, loss: 9.2132 +2023-01-20 19:20:43,229 - mmdet - INFO - Epoch [11][3200/3696] lr: 6.000e-06, eta: 1:02:52, time: 0.911, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0239, loss_cls: 6.2456, loss_bbox: 2.8678, loss: 9.1947 +2023-01-20 19:21:29,390 - mmdet - INFO - Epoch [11][3250/3696] lr: 6.000e-06, eta: 1:02:07, time: 0.923, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0242, loss_cls: 6.2550, loss_bbox: 2.8759, loss: 9.2131 +2023-01-20 19:22:14,363 - mmdet - INFO - Epoch [11][3300/3696] lr: 6.000e-06, eta: 1:01:22, time: 0.899, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0239, loss_cls: 6.2519, loss_bbox: 2.8973, loss: 9.2304 +2023-01-20 19:22:59,352 - mmdet - INFO - Epoch [11][3350/3696] lr: 6.000e-06, eta: 1:00:37, time: 0.900, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0239, loss_cls: 6.2498, loss_bbox: 2.8824, loss: 9.2136 +2023-01-20 19:23:44,983 - mmdet - INFO - Epoch [11][3400/3696] lr: 6.000e-06, eta: 0:59:52, time: 0.913, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0237, loss_cls: 6.2488, loss_bbox: 2.8839, loss: 9.2132 +2023-01-20 19:24:30,611 - mmdet - INFO - Epoch [11][3450/3696] lr: 6.000e-06, eta: 0:59:07, time: 0.913, data_time: 0.019, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0238, loss_cls: 6.2492, loss_bbox: 2.8757, loss: 9.2057 +2023-01-20 19:25:16,153 - mmdet - INFO - Epoch [11][3500/3696] lr: 6.000e-06, eta: 0:58:22, time: 0.911, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0238, loss_cls: 6.2439, loss_bbox: 2.8836, loss: 9.2084 +2023-01-20 19:26:01,554 - mmdet - INFO - Epoch [11][3550/3696] lr: 6.000e-06, eta: 0:57:37, time: 0.908, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0238, loss_cls: 6.2497, loss_bbox: 2.8712, loss: 9.2021 +2023-01-20 19:26:46,861 - mmdet - INFO - Epoch [11][3600/3696] lr: 6.000e-06, eta: 0:56:52, time: 0.906, data_time: 0.021, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0235, loss_cls: 6.2356, loss_bbox: 2.8898, loss: 9.2062 +2023-01-20 19:27:33,254 - mmdet - INFO - Epoch [11][3650/3696] lr: 6.000e-06, eta: 0:56:07, time: 0.928, data_time: 0.020, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0244, loss_cls: 6.2516, loss_bbox: 2.8655, loss: 9.1997 +2023-01-20 19:28:15,808 - mmdet - INFO - Saving checkpoint at 11 epochs +2023-01-20 19:29:06,968 - mmdet - INFO - Epoch [12][50/3696] lr: 6.000e-07, eta: 0:54:37, time: 0.963, data_time: 0.073, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0236, loss_cls: 6.2467, loss_bbox: 2.8890, loss: 9.2164 +2023-01-20 19:29:52,306 - mmdet - INFO - Epoch [12][100/3696] lr: 6.000e-07, eta: 0:53:52, time: 0.907, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0242, loss_cls: 6.2542, loss_bbox: 2.8767, loss: 9.2131 +2023-01-20 19:30:37,829 - mmdet - INFO - Epoch [12][150/3696] lr: 6.000e-07, eta: 0:53:07, time: 0.910, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0237, loss_cls: 6.2439, loss_bbox: 2.8892, loss: 9.2136 +2023-01-20 19:31:23,021 - mmdet - INFO - Epoch [12][200/3696] lr: 6.000e-07, eta: 0:52:22, time: 0.904, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0237, loss_cls: 6.2471, loss_bbox: 2.8850, loss: 9.2129 +2023-01-20 19:32:08,003 - mmdet - INFO - Epoch [12][250/3696] lr: 6.000e-07, eta: 0:51:38, time: 0.900, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0235, loss_cls: 6.2279, loss_bbox: 2.8868, loss: 9.1946 +2023-01-20 19:32:53,317 - mmdet - INFO - Epoch [12][300/3696] lr: 6.000e-07, eta: 0:50:53, time: 0.906, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0234, loss_cls: 6.2366, loss_bbox: 2.8906, loss: 9.2077 +2023-01-20 19:33:39,387 - mmdet - INFO - Epoch [12][350/3696] lr: 6.000e-07, eta: 0:50:08, time: 0.921, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0242, loss_cls: 6.2535, loss_bbox: 2.8540, loss: 9.1900 +2023-01-20 19:34:25,350 - mmdet - INFO - Epoch [12][400/3696] lr: 6.000e-07, eta: 0:49:23, time: 0.919, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0241, loss_cls: 6.2506, loss_bbox: 2.8771, loss: 9.2093 +2023-01-20 19:35:11,281 - mmdet - INFO - Epoch [12][450/3696] lr: 6.000e-07, eta: 0:48:38, time: 0.919, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0238, loss_cls: 6.2432, loss_bbox: 2.8704, loss: 9.1948 +2023-01-20 19:35:57,226 - mmdet - INFO - Epoch [12][500/3696] lr: 6.000e-07, eta: 0:47:53, time: 0.919, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0237, loss_cls: 6.2405, loss_bbox: 2.8893, loss: 9.2112 +2023-01-20 19:36:42,556 - mmdet - INFO - Epoch [12][550/3696] lr: 6.000e-07, eta: 0:47:08, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0240, loss_cls: 6.2416, loss_bbox: 2.8769, loss: 9.2005 +2023-01-20 19:37:27,542 - mmdet - INFO - Epoch [12][600/3696] lr: 6.000e-07, eta: 0:46:23, time: 0.900, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0236, loss_cls: 6.2454, loss_bbox: 2.8916, loss: 9.2175 +2023-01-20 19:38:13,068 - mmdet - INFO - Epoch [12][650/3696] lr: 6.000e-07, eta: 0:45:38, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0236, loss_cls: 6.2391, loss_bbox: 2.8854, loss: 9.2051 +2023-01-20 19:38:58,042 - mmdet - INFO - Epoch [12][700/3696] lr: 6.000e-07, eta: 0:44:53, time: 0.899, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0239, loss_cls: 6.2524, loss_bbox: 2.8787, loss: 9.2124 +2023-01-20 19:39:43,507 - mmdet - INFO - Epoch [12][750/3696] lr: 6.000e-07, eta: 0:44:08, time: 0.909, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0239, loss_cls: 6.2508, loss_bbox: 2.8789, loss: 9.2109 +2023-01-20 19:40:29,658 - mmdet - INFO - Epoch [12][800/3696] lr: 6.000e-07, eta: 0:43:24, time: 0.923, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0241, loss_cls: 6.2487, loss_bbox: 2.8683, loss: 9.1985 +2023-01-20 19:41:15,232 - mmdet - INFO - Epoch [12][850/3696] lr: 6.000e-07, eta: 0:42:39, time: 0.911, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2403, loss_bbox: 2.8763, loss: 9.1979 +2023-01-20 19:42:00,823 - mmdet - INFO - Epoch [12][900/3696] lr: 6.000e-07, eta: 0:41:54, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0240, loss_cls: 6.2468, loss_bbox: 2.8720, loss: 9.1998 +2023-01-20 19:42:46,616 - mmdet - INFO - Epoch [12][950/3696] lr: 6.000e-07, eta: 0:41:09, time: 0.916, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0245, loss_cls: 6.2610, loss_bbox: 2.8580, loss: 9.2016 +2023-01-20 19:43:31,662 - mmdet - INFO - Epoch [12][1000/3696] lr: 6.000e-07, eta: 0:40:24, time: 0.901, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2502, loss_bbox: 2.8780, loss: 9.2099 +2023-01-20 19:44:17,154 - mmdet - INFO - Epoch [12][1050/3696] lr: 6.000e-07, eta: 0:39:39, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0236, loss_cls: 6.2450, loss_bbox: 2.8865, loss: 9.2123 +2023-01-20 19:45:03,452 - mmdet - INFO - Epoch [12][1100/3696] lr: 6.000e-07, eta: 0:38:54, time: 0.926, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2486, loss_bbox: 2.8632, loss: 9.1933 +2023-01-20 19:45:48,311 - mmdet - INFO - Epoch [12][1150/3696] lr: 6.000e-07, eta: 0:38:09, time: 0.897, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0235, loss_cls: 6.2344, loss_bbox: 2.8928, loss: 9.2079 +2023-01-20 19:46:33,030 - mmdet - INFO - Epoch [12][1200/3696] lr: 6.000e-07, eta: 0:37:24, time: 0.894, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0238, loss_cls: 6.2454, loss_bbox: 2.8844, loss: 9.2108 +2023-01-20 19:47:17,713 - mmdet - INFO - Epoch [12][1250/3696] lr: 6.000e-07, eta: 0:36:39, time: 0.894, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0236, loss_cls: 6.2406, loss_bbox: 2.8806, loss: 9.2018 +2023-01-20 19:48:03,028 - mmdet - INFO - Epoch [12][1300/3696] lr: 6.000e-07, eta: 0:35:54, time: 0.906, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0238, loss_cls: 6.2489, loss_bbox: 2.8791, loss: 9.2093 +2023-01-20 19:48:48,821 - mmdet - INFO - Epoch [12][1350/3696] lr: 6.000e-07, eta: 0:35:09, time: 0.916, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2435, loss_bbox: 2.8821, loss: 9.2073 +2023-01-20 19:49:34,130 - mmdet - INFO - Epoch [12][1400/3696] lr: 6.000e-07, eta: 0:34:24, time: 0.906, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0238, loss_cls: 6.2448, loss_bbox: 2.8838, loss: 9.2099 +2023-01-20 19:50:19,655 - mmdet - INFO - Epoch [12][1450/3696] lr: 6.000e-07, eta: 0:33:39, time: 0.910, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0239, loss_cls: 6.2468, loss_bbox: 2.8830, loss: 9.2111 +2023-01-20 19:51:05,327 - mmdet - INFO - Epoch [12][1500/3696] lr: 6.000e-07, eta: 0:32:54, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0239, loss_cls: 6.2496, loss_bbox: 2.8615, loss: 9.1929 +2023-01-20 19:51:50,409 - mmdet - INFO - Epoch [12][1550/3696] lr: 6.000e-07, eta: 0:32:10, time: 0.902, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0234, loss_cls: 6.2359, loss_bbox: 2.8954, loss: 9.2115 +2023-01-20 19:52:35,780 - mmdet - INFO - Epoch [12][1600/3696] lr: 6.000e-07, eta: 0:31:25, time: 0.907, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0239, loss_cls: 6.2425, loss_bbox: 2.8790, loss: 9.2025 +2023-01-20 19:53:21,165 - mmdet - INFO - Epoch [12][1650/3696] lr: 6.000e-07, eta: 0:30:40, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0238, loss_cls: 6.2468, loss_bbox: 2.8702, loss: 9.1980 +2023-01-20 19:54:07,087 - mmdet - INFO - Epoch [12][1700/3696] lr: 6.000e-07, eta: 0:29:55, time: 0.919, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0247, loss_cls: 6.2617, loss_bbox: 2.8697, loss: 9.2149 +2023-01-20 19:54:53,243 - mmdet - INFO - Epoch [12][1750/3696] lr: 6.000e-07, eta: 0:29:10, time: 0.923, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0242, loss_cls: 6.2599, loss_bbox: 2.8620, loss: 9.2045 +2023-01-20 19:55:38,650 - mmdet - INFO - Epoch [12][1800/3696] lr: 6.000e-07, eta: 0:28:25, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0239, loss_cls: 6.2412, loss_bbox: 2.8660, loss: 9.1886 +2023-01-20 19:56:23,454 - mmdet - INFO - Epoch [12][1850/3696] lr: 6.000e-07, eta: 0:27:40, time: 0.896, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0239, loss_cls: 6.2401, loss_bbox: 2.8878, loss: 9.2096 +2023-01-20 19:57:08,472 - mmdet - INFO - Epoch [12][1900/3696] lr: 6.000e-07, eta: 0:26:55, time: 0.900, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0239, loss_cls: 6.2508, loss_bbox: 2.8691, loss: 9.2011 +2023-01-20 19:57:53,932 - mmdet - INFO - Epoch [12][1950/3696] lr: 6.000e-07, eta: 0:26:10, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0233, loss_cls: 6.2436, loss_bbox: 2.8886, loss: 9.2119 +2023-01-20 19:58:39,539 - mmdet - INFO - Epoch [12][2000/3696] lr: 6.000e-07, eta: 0:25:25, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0245, loss_cls: 6.2594, loss_bbox: 2.8726, loss: 9.2152 +2023-01-20 19:59:24,348 - mmdet - INFO - Epoch [12][2050/3696] lr: 6.000e-07, eta: 0:24:40, time: 0.896, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0240, loss_cls: 6.2527, loss_bbox: 2.8907, loss: 9.2257 +2023-01-20 20:00:09,391 - mmdet - INFO - Epoch [12][2100/3696] lr: 6.000e-07, eta: 0:23:55, time: 0.901, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2477, loss_bbox: 2.8911, loss: 9.2202 +2023-01-20 20:00:55,373 - mmdet - INFO - Epoch [12][2150/3696] lr: 6.000e-07, eta: 0:23:10, time: 0.920, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0240, loss_cls: 6.2484, loss_bbox: 2.8621, loss: 9.1921 +2023-01-20 20:01:40,641 - mmdet - INFO - Epoch [12][2200/3696] lr: 6.000e-07, eta: 0:22:25, time: 0.905, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0237, loss_cls: 6.2464, loss_bbox: 2.8767, loss: 9.2039 +2023-01-20 20:02:26,058 - mmdet - INFO - Epoch [12][2250/3696] lr: 6.000e-07, eta: 0:21:40, time: 0.908, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0239, loss_cls: 6.2515, loss_bbox: 2.8766, loss: 9.2093 +2023-01-20 20:03:11,969 - mmdet - INFO - Epoch [12][2300/3696] lr: 6.000e-07, eta: 0:20:55, time: 0.918, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0245, loss_cls: 6.2621, loss_bbox: 2.8754, loss: 9.2200 +2023-01-20 20:03:57,420 - mmdet - INFO - Epoch [12][2350/3696] lr: 6.000e-07, eta: 0:20:10, time: 0.909, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0242, loss_cls: 6.2564, loss_bbox: 2.8681, loss: 9.2070 +2023-01-20 20:04:42,542 - mmdet - INFO - Epoch [12][2400/3696] lr: 6.000e-07, eta: 0:19:25, time: 0.902, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0239, loss_cls: 6.2479, loss_bbox: 2.8801, loss: 9.2093 +2023-01-20 20:05:28,091 - mmdet - INFO - Epoch [12][2450/3696] lr: 6.000e-07, eta: 0:18:40, time: 0.911, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0244, loss_cls: 6.2587, loss_bbox: 2.8648, loss: 9.2066 +2023-01-20 20:06:13,391 - mmdet - INFO - Epoch [12][2500/3696] lr: 6.000e-07, eta: 0:17:55, time: 0.906, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0239, loss_cls: 6.2495, loss_bbox: 2.8833, loss: 9.2143 +2023-01-20 20:06:58,457 - mmdet - INFO - Epoch [12][2550/3696] lr: 6.000e-07, eta: 0:17:10, time: 0.901, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0236, loss_cls: 6.2393, loss_bbox: 2.8858, loss: 9.2061 +2023-01-20 20:07:43,325 - mmdet - INFO - Epoch [12][2600/3696] lr: 6.000e-07, eta: 0:16:25, time: 0.897, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0237, loss_cls: 6.2437, loss_bbox: 2.8843, loss: 9.2089 +2023-01-20 20:08:29,668 - mmdet - INFO - Epoch [12][2650/3696] lr: 6.000e-07, eta: 0:15:40, time: 0.927, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0245, loss_cls: 6.2665, loss_bbox: 2.8592, loss: 9.2092 +2023-01-20 20:09:15,295 - mmdet - INFO - Epoch [12][2700/3696] lr: 6.000e-07, eta: 0:14:55, time: 0.913, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0241, loss_cls: 6.2588, loss_bbox: 2.8777, loss: 9.2187 +2023-01-20 20:10:01,157 - mmdet - INFO - Epoch [12][2750/3696] lr: 6.000e-07, eta: 0:14:11, time: 0.917, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0246, loss_cls: 6.2592, loss_bbox: 2.8568, loss: 9.1995 +2023-01-20 20:10:46,916 - mmdet - INFO - Epoch [12][2800/3696] lr: 6.000e-07, eta: 0:13:26, time: 0.915, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0240, loss_cls: 6.2469, loss_bbox: 2.8791, loss: 9.2073 +2023-01-20 20:11:33,318 - mmdet - INFO - Epoch [12][2850/3696] lr: 6.000e-07, eta: 0:12:41, time: 0.928, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0243, loss_cls: 6.2503, loss_bbox: 2.8586, loss: 9.1909 +2023-01-20 20:12:18,899 - mmdet - INFO - Epoch [12][2900/3696] lr: 6.000e-07, eta: 0:11:56, time: 0.912, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0235, loss_cls: 6.2295, loss_bbox: 2.8753, loss: 9.1850 +2023-01-20 20:13:04,092 - mmdet - INFO - Epoch [12][2950/3696] lr: 6.000e-07, eta: 0:11:11, time: 0.904, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0237, loss_cls: 6.2424, loss_bbox: 2.8784, loss: 9.2018 +2023-01-20 20:13:49,276 - mmdet - INFO - Epoch [12][3000/3696] lr: 6.000e-07, eta: 0:10:26, time: 0.904, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0238, loss_cls: 6.2424, loss_bbox: 2.8921, loss: 9.2156 +2023-01-20 20:14:34,967 - mmdet - INFO - Epoch [12][3050/3696] lr: 6.000e-07, eta: 0:09:41, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0240, loss_cls: 6.2532, loss_bbox: 2.8653, loss: 9.1997 +2023-01-20 20:15:19,767 - mmdet - INFO - Epoch [12][3100/3696] lr: 6.000e-07, eta: 0:08:56, time: 0.896, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0238, loss_cls: 6.2401, loss_bbox: 2.8816, loss: 9.2028 +2023-01-20 20:16:05,274 - mmdet - INFO - Epoch [12][3150/3696] lr: 6.000e-07, eta: 0:08:11, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0236, loss_cls: 6.2433, loss_bbox: 2.8763, loss: 9.1999 +2023-01-20 20:16:51,538 - mmdet - INFO - Epoch [12][3200/3696] lr: 6.000e-07, eta: 0:07:26, time: 0.925, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0244, loss_cls: 6.2556, loss_bbox: 2.8630, loss: 9.2008 +2023-01-20 20:17:37,254 - mmdet - INFO - Epoch [12][3250/3696] lr: 6.000e-07, eta: 0:06:41, time: 0.914, data_time: 0.018, memory: 13290, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0237, loss_cls: 6.2392, loss_bbox: 2.8842, loss: 9.2044 +2023-01-20 20:18:22,948 - mmdet - INFO - Epoch [12][3300/3696] lr: 6.000e-07, eta: 0:05:56, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0238, loss_cls: 6.2393, loss_bbox: 2.8683, loss: 9.1887 +2023-01-20 20:19:08,446 - mmdet - INFO - Epoch [12][3350/3696] lr: 6.000e-07, eta: 0:05:11, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2573, loss_bbox: 2.8834, loss: 9.2222 +2023-01-20 20:19:53,437 - mmdet - INFO - Epoch [12][3400/3696] lr: 6.000e-07, eta: 0:04:26, time: 0.900, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0238, loss_cls: 6.2482, loss_bbox: 2.8806, loss: 9.2102 +2023-01-20 20:20:38,917 - mmdet - INFO - Epoch [12][3450/3696] lr: 6.000e-07, eta: 0:03:41, time: 0.910, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0240, loss_cls: 6.2573, loss_bbox: 2.8711, loss: 9.2098 +2023-01-20 20:21:24,598 - mmdet - INFO - Epoch [12][3500/3696] lr: 6.000e-07, eta: 0:02:56, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0236, loss_cls: 6.2403, loss_bbox: 2.8824, loss: 9.2036 +2023-01-20 20:22:10,280 - mmdet - INFO - Epoch [12][3550/3696] lr: 6.000e-07, eta: 0:02:11, time: 0.914, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0242, loss_cls: 6.2497, loss_bbox: 2.8664, loss: 9.1983 +2023-01-20 20:22:56,135 - mmdet - INFO - Epoch [12][3600/3696] lr: 6.000e-07, eta: 0:01:26, time: 0.917, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0586, loss_rpn_bbox: 0.0246, loss_cls: 6.2562, loss_bbox: 2.8512, loss: 9.1905 +2023-01-20 20:23:42,825 - mmdet - INFO - Epoch [12][3650/3696] lr: 6.000e-07, eta: 0:00:41, time: 0.934, data_time: 0.017, memory: 13290, loss_rpn_cls: 0.0585, loss_rpn_bbox: 0.0246, loss_cls: 6.2624, loss_bbox: 2.8589, loss: 9.2044 +2023-01-20 20:24:25,511 - mmdet - INFO - Saving checkpoint at 12 epochs diff --git a/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/20230120_091015.log.json b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/20230120_091015.log.json new file mode 100644 index 0000000000000000000000000000000000000000..dc94879f8e0bee5de951b9813b5e2775255cf2a2 --- /dev/null +++ b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/20230120_091015.log.json @@ -0,0 +1,877 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: NVIDIA A100 80GB PCIe\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.3, V11.3.109\nGCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0\nPyTorch: 1.10.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX512\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80\n - CuDNN 8.2.1\n - Built with CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.11.1+cu113\nOpenCV: 4.6.0\nMMCV: 1.6.2\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.3\nMMDetection: 2.26.0+17ad02c", "config": "model = dict(\n type='SelfSupDetector',\n backbone=dict(\n type='SelfSupMaskRCNN',\n backbone=dict(\n type='SwinTransformer',\n embed_dims=128,\n depths=[2, 2, 18, 2],\n num_heads=[4, 8, 16, 32],\n window_size=7,\n mlp_ratio=4,\n qkv_bias=True,\n qk_scale=None,\n drop_rate=0.0,\n attn_drop_rate=0.0,\n drop_path_rate=0.2,\n patch_norm=True,\n out_indices=(0, 1, 2, 3),\n with_cp=False,\n frozen_stages=4,\n convert_weights=True,\n init_cfg=dict(\n type='Pretrained',\n checkpoint=\n 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22k.pth'\n )),\n neck=dict(\n type='FPN',\n in_channels=[128, 256, 512, 1024],\n out_channels=256,\n num_outs=5),\n rpn_head=dict(\n type='RPNHead',\n in_channels=256,\n feat_channels=256,\n anchor_generator=dict(\n type='AnchorGenerator',\n scales=[8],\n ratios=[0.5, 1.0, 2.0],\n strides=[4, 8, 16, 32, 64]),\n bbox_coder=dict(\n type='DeltaXYWHBBoxCoder',\n target_means=[0.0, 0.0, 0.0, 0.0],\n target_stds=[1.0, 1.0, 1.0, 1.0]),\n loss_cls=dict(\n type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),\n loss_bbox=dict(type='L1Loss', loss_weight=1.0)),\n roi_head=dict(\n type='SelfSupStandardRoIHead',\n bbox_roi_extractor=dict(\n type='SingleRoIExtractor',\n roi_layer=dict(\n type='RoIAlign', output_size=7, sampling_ratio=0),\n out_channels=256,\n featmap_strides=[4, 8, 16, 32]),\n bbox_head=dict(\n type='SelfSupShared4Conv1FCBBoxHead',\n in_channels=256,\n num_classes=256,\n roi_feat_size=7,\n reg_class_agnostic=False,\n loss_bbox=dict(type='L1Loss', loss_weight=1.0),\n loss_cls=dict(\n type='ContrastiveLoss', loss_weight=1.0, temperature=0.5)),\n mask_roi_extractor=None,\n mask_head=None),\n train_cfg=dict(\n rpn=dict(\n assigner=dict(\n type='MaxIoUAssigner',\n pos_iou_thr=0.7,\n neg_iou_thr=0.3,\n min_pos_iou=0.3,\n match_low_quality=True,\n ignore_iof_thr=-1),\n sampler=dict(\n type='RandomSampler',\n num=4096,\n pos_fraction=1.0,\n neg_pos_ub=-1,\n add_gt_as_proposals=False),\n allowed_border=-1,\n pos_weight=-1,\n debug=False),\n rpn_proposal=dict(\n nms_pre=2000,\n max_per_img=1000,\n nms=dict(type='nms', iou_threshold=0.7),\n min_bbox_size=0),\n rcnn=dict(\n assigner=dict(\n type='MaxIoUAssigner',\n pos_iou_thr=0.5,\n neg_iou_thr=0.5,\n min_pos_iou=0.5,\n match_low_quality=True,\n ignore_iof_thr=-1,\n gt_max_assign_all=False),\n sampler=dict(\n type='RandomSampler',\n num=4096,\n pos_fraction=1,\n neg_pos_ub=0,\n add_gt_as_proposals=True),\n mask_size=28,\n pos_weight=-1,\n debug=False)),\n test_cfg=dict(\n rpn=dict(\n nms_pre=1000,\n max_per_img=1000,\n nms=dict(type='nms', iou_threshold=0.7),\n min_bbox_size=0),\n rcnn=dict(\n score_thr=0.05,\n nms=dict(type='nms', iou_threshold=0.5),\n max_per_img=100,\n mask_thr_binary=0.5)),\n init_cfg=dict(\n type='Pretrained',\n checkpoint='pretrain/simmim_swin-b_mmselfsup-pretrain.pth')))\ntrain_dataset_type = 'MultiViewCocoDataset'\ntest_dataset_type = 'CocoDataset'\ndata_root = 'data/coco/'\nclasses = ['selective_search']\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\nload_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True, with_mask=False)\n]\ntrain_pipeline1 = [\n dict(\n type='Resize',\n img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n multiscale_mode='value',\n keep_ratio=True),\n dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)),\n dict(type='Pad', size_divisor=32),\n dict(type='RandFlip', flip_ratio=0.5),\n dict(\n type='OneOf',\n transforms=[\n dict(type='Identity'),\n dict(type='AutoContrast'),\n dict(type='RandEqualize'),\n dict(type='RandSolarize'),\n dict(type='RandColor'),\n dict(type='RandContrast'),\n dict(type='RandBrightness'),\n dict(type='RandSharpness'),\n dict(type='RandPosterize')\n ]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n]\ntrain_pipeline2 = [\n dict(\n type='Resize',\n img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n multiscale_mode='value',\n keep_ratio=True),\n dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)),\n dict(type='Pad', size_divisor=32),\n dict(type='RandFlip', flip_ratio=0.5),\n dict(\n type='OneOf',\n transforms=[\n dict(type='Identity'),\n dict(type='AutoContrast'),\n dict(type='RandEqualize'),\n dict(type='RandSolarize'),\n dict(type='RandColor'),\n dict(type='RandContrast'),\n dict(type='RandBrightness'),\n dict(type='RandSharpness'),\n dict(type='RandPosterize')\n ]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=4,\n workers_per_gpu=2,\n train=dict(\n type='MultiViewCocoDataset',\n dataset=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file=\n 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json',\n img_prefix='data/coco/train2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True, with_mask=False)\n ]),\n num_views=2,\n pipelines=[[{\n 'type':\n 'Resize',\n 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }, {\n 'type': 'FilterAnnotations',\n 'min_gt_bbox_wh': (0.01, 0.01)\n }, {\n 'type': 'Pad',\n 'size_divisor': 32\n }, {\n 'type': 'RandFlip',\n 'flip_ratio': 0.5\n }, {\n 'type':\n 'OneOf',\n 'transforms': [{\n 'type': 'Identity'\n }, {\n 'type': 'AutoContrast'\n }, {\n 'type': 'RandEqualize'\n }, {\n 'type': 'RandSolarize'\n }, {\n 'type': 'RandColor'\n }, {\n 'type': 'RandContrast'\n }, {\n 'type': 'RandBrightness'\n }, {\n 'type': 'RandSharpness'\n }, {\n 'type': 'RandPosterize'\n }]\n }, {\n 'type': 'Normalize',\n 'mean': [123.675, 116.28, 103.53],\n 'std': [58.395, 57.12, 57.375],\n 'to_rgb': True\n }, {\n 'type': 'DefaultFormatBundle'\n }, {\n 'type': 'Collect',\n 'keys': ['img', 'gt_bboxes', 'gt_labels']\n }],\n [{\n 'type':\n 'Resize',\n 'img_scale': [(1333, 640), (1333, 672), (1333, 704),\n (1333, 736), (1333, 768), (1333, 800)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }, {\n 'type': 'FilterAnnotations',\n 'min_gt_bbox_wh': (0.01, 0.01)\n }, {\n 'type': 'Pad',\n 'size_divisor': 32\n }, {\n 'type': 'RandFlip',\n 'flip_ratio': 0.5\n }, {\n 'type':\n 'OneOf',\n 'transforms': [{\n 'type': 'Identity'\n }, {\n 'type': 'AutoContrast'\n }, {\n 'type': 'RandEqualize'\n }, {\n 'type': 'RandSolarize'\n }, {\n 'type': 'RandColor'\n }, {\n 'type': 'RandContrast'\n }, {\n 'type': 'RandBrightness'\n }, {\n 'type': 'RandSharpness'\n }, {\n 'type': 'RandPosterize'\n }]\n }, {\n 'type': 'Normalize',\n 'mean': [123.675, 116.28, 103.53],\n 'std': [58.395, 57.12, 57.375],\n 'to_rgb': True\n }, {\n 'type': 'DefaultFormatBundle'\n }, {\n 'type': 'Collect',\n 'keys': ['img', 'gt_bboxes', 'gt_labels']\n }]]),\n val=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nevaluation = dict(interval=65535, gpu_collect=True, metric='bbox')\noptimizer = dict(\n type='AdamW',\n lr=6e-05,\n betas=(0.9, 0.999),\n weight_decay=0.05,\n paramwise_cfg=dict(\n custom_keys=dict(\n absolute_pos_embed=dict(decay_mult=0.0),\n relative_position_bias_table=dict(decay_mult=0.0),\n norm=dict(decay_mult=0.0))))\noptimizer_config = dict(grad_clip=None)\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=1000,\n warmup_ratio=0.001,\n step=[8, 11])\nrunner = dict(type='EpochBasedRunner', max_epochs=12)\ncheckpoint_config = dict(interval=1)\nlog_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')])\ncustom_hooks = [\n dict(type='MomentumUpdateHook'),\n dict(\n type='MMDetWandbHook',\n init_kwargs=dict(project='I2B', group='pretrain'),\n interval=50,\n num_eval_images=0,\n log_checkpoint=False)\n]\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\nopencv_num_threads = 0\nmp_start_method = 'fork'\nauto_scale_lr = dict(enable=True, base_batch_size=32)\ncustom_imports = dict(\n imports=[\n 'mmselfsup.datasets.pipelines',\n 'selfsup.core.hook.momentum_update_hook',\n 'selfsup.datasets.pipelines.selfsup_pipelines',\n 'selfsup.datasets.pipelines.rand_aug',\n 'selfsup.datasets.single_view_coco',\n 'selfsup.datasets.multi_view_coco',\n 'selfsup.models.losses.contrastive_loss',\n 'selfsup.models.dense_heads.fcos_head',\n 'selfsup.models.dense_heads.retina_head',\n 'selfsup.models.dense_heads.detr_head',\n 'selfsup.models.dense_heads.deformable_detr_head',\n 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head',\n 'selfsup.models.roi_heads.standard_roi_head',\n 'selfsup.models.detectors.selfsup_detector',\n 'selfsup.models.detectors.selfsup_fcos',\n 'selfsup.models.detectors.selfsup_detr',\n 'selfsup.models.detectors.selfsup_deformable_detr',\n 'selfsup.models.detectors.selfsup_retinanet',\n 'selfsup.models.detectors.selfsup_mask_rcnn',\n 'selfsup.core.bbox.assigners.hungarian_assigner',\n 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner',\n 'selfsup.core.bbox.match_costs.match_cost'\n ],\n allow_failed_imports=False)\npretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22k.pth'\nfind_unused_parameters = True\nwork_dir = 'work_dirs/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain'\nauto_resume = False\ngpu_ids = range(0, 8)\n", "seed": 42, "exp_name": "selfsup_mask-rcnn_swin-b_simmim.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 5804, "data_time": 0.07108, "loss_rpn_cls": 0.30555, "loss_rpn_bbox": 0.0909, "loss_cls": 6.34951, "loss_bbox": 2.99833, "loss": 9.74429, "time": 1.01003} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 1e-05, "memory": 5804, "data_time": 0.01759, "loss_rpn_cls": 0.14891, "loss_rpn_bbox": 0.06292, "loss_cls": 6.37218, "loss_bbox": 2.73912, "loss": 9.32313, "time": 0.88987} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 5804, "data_time": 0.01619, "loss_rpn_cls": 0.11445, "loss_rpn_bbox": 0.05461, "loss_cls": 6.5859, "loss_bbox": 3.09514, "loss": 9.8501, "time": 0.89368} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 5804, "data_time": 0.01625, "loss_rpn_cls": 0.10776, "loss_rpn_bbox": 0.05092, "loss_cls": 6.67274, "loss_bbox": 3.22599, "loss": 10.05741, "time": 0.90358} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 5804, "data_time": 0.01669, "loss_rpn_cls": 0.10401, "loss_rpn_bbox": 0.04682, "loss_cls": 6.69594, "loss_bbox": 3.24898, "loss": 10.09575, "time": 0.88716} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 2e-05, "memory": 6225, "data_time": 0.01669, "loss_rpn_cls": 0.10149, "loss_rpn_bbox": 0.04395, "loss_cls": 6.69737, "loss_bbox": 3.2523, "loss": 10.0951, "time": 0.88498} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 2e-05, "memory": 7283, "data_time": 0.01676, "loss_rpn_cls": 0.09901, "loss_rpn_bbox": 0.04198, "loss_cls": 6.73249, "loss_bbox": 3.25363, "loss": 10.1271, "time": 0.89919} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 7483, "data_time": 0.01639, "loss_rpn_cls": 0.09533, "loss_rpn_bbox": 0.03921, "loss_cls": 6.72003, "loss_bbox": 3.26637, "loss": 10.12094, "time": 0.89599} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 3e-05, "memory": 7483, "data_time": 0.01696, "loss_rpn_cls": 0.09578, "loss_rpn_bbox": 0.03896, "loss_cls": 6.72649, "loss_bbox": 3.24181, "loss": 10.10305, "time": 0.90093} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 3e-05, "memory": 7601, "data_time": 0.0167, "loss_rpn_cls": 0.09378, "loss_rpn_bbox": 0.03816, "loss_cls": 6.7134, "loss_bbox": 3.24618, "loss": 10.09152, "time": 0.89957} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 3e-05, "memory": 7601, "data_time": 0.01646, "loss_rpn_cls": 0.09132, "loss_rpn_bbox": 0.03606, "loss_cls": 6.67174, "loss_bbox": 3.23166, "loss": 10.03079, "time": 0.89358} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 4e-05, "memory": 7601, "data_time": 0.01715, "loss_rpn_cls": 0.08912, "loss_rpn_bbox": 0.03503, "loss_cls": 6.64275, "loss_bbox": 3.24826, "loss": 10.01516, "time": 0.90044} +{"mode": "train", "epoch": 1, "iter": 650, "lr": 4e-05, "memory": 7601, "data_time": 0.01703, "loss_rpn_cls": 0.08721, "loss_rpn_bbox": 0.03413, "loss_cls": 6.63507, "loss_bbox": 3.24849, "loss": 10.00489, "time": 0.8901} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 4e-05, "memory": 8611, "data_time": 0.01696, "loss_rpn_cls": 0.08674, "loss_rpn_bbox": 0.03371, "loss_cls": 6.61057, "loss_bbox": 3.2263, "loss": 9.95732, "time": 0.90167} +{"mode": "train", "epoch": 1, "iter": 750, "lr": 4e-05, "memory": 8611, "data_time": 0.0172, "loss_rpn_cls": 0.08395, "loss_rpn_bbox": 0.03199, "loss_cls": 6.56694, "loss_bbox": 3.28019, "loss": 9.96307, "time": 0.88135} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 5e-05, "memory": 8611, "data_time": 0.01687, "loss_rpn_cls": 0.08356, "loss_rpn_bbox": 0.03166, "loss_cls": 6.55343, "loss_bbox": 3.25782, "loss": 9.92647, "time": 0.89156} +{"mode": "train", "epoch": 1, "iter": 850, "lr": 5e-05, "memory": 8611, "data_time": 0.01677, "loss_rpn_cls": 0.08388, "loss_rpn_bbox": 0.0316, "loss_cls": 6.53048, "loss_bbox": 3.27123, "loss": 9.91718, "time": 0.89875} 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"loss_rpn_cls": 0.0585, "loss_rpn_bbox": 0.02458, "loss_cls": 6.26242, "loss_bbox": 2.85888, "loss": 9.20438, "time": 0.93384} diff --git a/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/final_model.pth b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/final_model.pth new file mode 100644 index 0000000000000000000000000000000000000000..1cebf51261d7bd37f5cb6932645ecedae4f4039f --- /dev/null +++ b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/final_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7aca88dfee95a9cb04041b5b93a19169aaa3bb14ff12c237042bc981205d85ab +size 422177783 diff --git a/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/selfsup_mask-rcnn_swin-b_simmim.py b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/selfsup_mask-rcnn_swin-b_simmim.py new file mode 100644 index 0000000000000000000000000000000000000000..82e19fb7d1b6dfaa2aa1f077b82387336fee3b6d --- /dev/null +++ b/pretrain/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain/selfsup_mask-rcnn_swin-b_simmim.py @@ -0,0 +1,447 @@ +model = dict( + type='SelfSupDetector', + backbone=dict( + type='SelfSupMaskRCNN', + backbone=dict( + type='SwinTransformer', + embed_dims=128, + depths=[2, 2, 18, 2], + num_heads=[4, 8, 16, 32], + window_size=7, + mlp_ratio=4, + qkv_bias=True, + qk_scale=None, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.2, + patch_norm=True, + out_indices=(0, 1, 2, 3), + with_cp=False, + frozen_stages=4, + convert_weights=True, + init_cfg=dict( + type='Pretrained', + checkpoint= + 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22k.pth' + )), + neck=dict( + type='FPN', + in_channels=[128, 256, 512, 1024], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + roi_head=dict( + type='SelfSupStandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict( + type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='SelfSupShared4Conv1FCBBoxHead', + in_channels=256, + num_classes=256, + roi_feat_size=7, + reg_class_agnostic=False, + loss_bbox=dict(type='L1Loss', loss_weight=1.0), + loss_cls=dict( + type='ContrastiveLoss', loss_weight=1.0, temperature=0.5)), + mask_roi_extractor=None, + mask_head=None), + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1.0, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_pre=2000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=True, + ignore_iof_thr=-1, + gt_max_assign_all=False), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1, + neg_pos_ub=0, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False)), + test_cfg=dict( + rpn=dict( + nms_pre=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5)), + init_cfg=dict( + type='Pretrained', + checkpoint='pretrain/simmim_swin-b_mmselfsup-pretrain.pth'))) +train_dataset_type = 'MultiViewCocoDataset' +test_dataset_type = 'CocoDataset' +data_root = 'data/coco/' +classes = ['selective_search'] +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +load_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) +] +train_pipeline1 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +train_pipeline2 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=4, + workers_per_gpu=2, + train=dict( + type='MultiViewCocoDataset', + dataset=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file= + 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) + ]), + num_views=2, + pipelines=[[{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }], + [{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), + (1333, 736), (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }]]), + val=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict(interval=65535, gpu_collect=True, metric='bbox') +optimizer = dict( + type='AdamW', + lr=6e-05, + betas=(0.9, 0.999), + weight_decay=0.05, + paramwise_cfg=dict( + custom_keys=dict( + absolute_pos_embed=dict(decay_mult=0.0), + relative_position_bias_table=dict(decay_mult=0.0), + norm=dict(decay_mult=0.0)))) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=1000, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='MomentumUpdateHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='I2B', group='pretrain'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=True, base_batch_size=32) +custom_imports = dict( + imports=[ + 'mmselfsup.datasets.pipelines', + 'selfsup.core.hook.momentum_update_hook', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.dense_heads.deformable_detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_deformable_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.assigners.hungarian_assigner', + 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window7_224_22k.pth' +find_unused_parameters = True +work_dir = 'work_dirs/selfsup_mask-rcnn_swin-b_lsj-3x-coco_simmim-pretrain' +auto_resume = False +gpu_ids = range(0, 8) diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/20220901_231349.log b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/20220901_231349.log new file mode 100644 index 0000000000000000000000000000000000000000..069f2187110c82cc9062090a41077ccf1229e155 --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/20220901_231349.log @@ -0,0 +1,3505 @@ +2022-09-01 23:13:49,098 - mmdet - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.3, V11.3.109 +GCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0 +PyTorch: 1.10.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.11.1+cu113 +OpenCV: 4.6.0 +MMCV: 1.6.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.3 +MMDetection: 2.25.1+673dada +------------------------------------------------------------ + +2022-09-01 23:13:50,544 - mmdet - INFO - Distributed training: True +2022-09-01 23:13:51,849 - mmdet - INFO - Config: +model = dict( + type='SelfSupDetector', + backbone=dict( + type='SelfSupMaskRCNN', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=4, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch', + init_cfg=dict( + type='Pretrained', + checkpoint='pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth' + )), + neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + roi_head=dict( + type='SelfSupStandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict( + type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='SelfSupShared4Conv1FCBBoxHead', + in_channels=256, + num_classes=256, + roi_feat_size=7, + loss_cls=dict( + type='ContrastiveLoss', loss_weight=1.0, temperature=0.2)), + mask_roi_extractor=None, + mask_head=None), + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1.0, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_pre=2000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=True, + ignore_iof_thr=-1, + gt_max_assign_all=False), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1, + neg_pos_ub=0, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False)), + test_cfg=dict( + rpn=dict( + nms_pre=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5)))) +train_dataset_type = 'MultiViewCocoDataset' +test_dataset_type = 'CocoDataset' +data_root = 'data/coco/' +classes = ['selective_search'] +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +load_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) +] +train_pipeline1 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +train_pipeline2 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type='MultiViewCocoDataset', + dataset=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file= + 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) + ]), + num_views=2, + pipelines=[[{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }], + [{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), + (1333, 736), (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }]]), + val=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict(metric='bbox', interval=65535) +optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='MomentumUpdateHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='mmdet_pretrain', group='pretrain'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=False, base_batch_size=16) +custom_imports = dict( + imports=[ + 'mmselfsup.core', 'mmselfsup.datasets.pipelines', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +work_dir = 'work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain' +auto_resume = False +gpu_ids = range(0, 8) + +2022-09-01 23:13:51,850 - mmdet - INFO - Set random seed to 42, deterministic: False +2022-09-01 23:13:52,974 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth'} +2022-09-01 23:13:53,059 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} +2022-09-01 23:13:53,079 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} +2022-09-01 23:13:53,083 - mmdet - INFO - initialize SelfSupShared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] +2022-09-01 23:13:53,172 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth'} +2022-09-01 23:13:53,256 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} +2022-09-01 23:13:53,275 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} +2022-09-01 23:13:53,279 - mmdet - INFO - initialize SelfSupShared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] +Name of parameter - Initialization information + +online_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +online_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 512, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.3.conv.weight - torch.Size([256, 2048, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.001, bias=0 + +online_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.001, bias=0 + +online_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth + +target_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 512, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.3.conv.weight - torch.Size([256, 2048, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.001, bias=0 + +target_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.001, bias=0 + +target_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 +2022-09-01 23:14:26,416 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. +2022-09-01 23:14:27,172 - mmdet - INFO - Start running, host: tiger@n136-146-078, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain +2022-09-01 23:14:27,173 - mmdet - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) MomentumUpdateHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) MomentumUpdateHook +(NORMAL ) MMDetWandbHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +2022-09-01 23:14:27,173 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs +2022-09-01 23:14:27,173 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain by HardDiskBackend. +2022-09-01 23:14:53,160 - mmdet - INFO - Epoch [1][50/7390] lr: 1.978e-03, eta: 12:10:29, time: 0.495, data_time: 0.070, memory: 2627, loss_rpn_cls: 0.6779, loss_rpn_bbox: 0.0279, loss_cls: 5.4115, loss_bbox: 0.7908, loss: 6.9082 +2022-09-01 23:15:09,398 - mmdet - INFO - Epoch [1][100/7390] lr: 3.976e-03, eta: 10:04:45, time: 0.325, data_time: 0.007, memory: 2627, loss_rpn_cls: 0.5453, loss_rpn_bbox: 0.0288, loss_cls: 5.1904, loss_bbox: 1.1176, loss: 6.8820 +2022-09-01 23:15:29,703 - mmdet - INFO - Epoch [1][150/7390] lr: 5.974e-03, eta: 10:02:25, time: 0.406, data_time: 0.008, memory: 2799, loss_rpn_cls: 0.1653, loss_rpn_bbox: 0.0285, loss_cls: 5.7132, loss_bbox: 1.7641, loss: 7.6711 +2022-09-01 23:15:46,183 - mmdet - INFO - Epoch [1][200/7390] lr: 7.972e-03, eta: 9:32:56, time: 0.329, data_time: 0.008, memory: 2799, loss_rpn_cls: 0.1123, loss_rpn_bbox: 0.0259, loss_cls: 5.7487, loss_bbox: 1.8648, loss: 7.7517 +2022-09-01 23:16:02,616 - mmdet - INFO - Epoch [1][250/7390] lr: 9.970e-03, eta: 9:15:10, time: 0.329, data_time: 0.008, memory: 2862, loss_rpn_cls: 0.1113, loss_rpn_bbox: 0.0263, loss_cls: 5.7649, loss_bbox: 1.8842, loss: 7.7867 +2022-09-01 23:16:18,539 - mmdet - INFO - Epoch [1][300/7390] lr: 1.197e-02, eta: 9:00:26, time: 0.318, data_time: 0.008, memory: 2862, loss_rpn_cls: 0.1067, loss_rpn_bbox: 0.0245, loss_cls: 5.7006, loss_bbox: 1.9173, loss: 7.7491 +2022-09-01 23:16:35,240 - mmdet - INFO - Epoch [1][350/7390] lr: 1.397e-02, eta: 8:53:15, time: 0.334, data_time: 0.008, memory: 2862, loss_rpn_cls: 0.1115, loss_rpn_bbox: 0.0269, loss_cls: 5.7772, loss_bbox: 1.9316, loss: 7.8472 +2022-09-01 23:16:52,592 - mmdet - INFO - Epoch [1][400/7390] lr: 1.596e-02, eta: 8:50:13, time: 0.347, data_time: 0.008, memory: 2862, loss_rpn_cls: 0.1092, loss_rpn_bbox: 0.0267, loss_cls: 5.7497, loss_bbox: 1.9451, loss: 7.8307 +2022-09-01 23:17:08,800 - mmdet - INFO - Epoch [1][450/7390] lr: 1.796e-02, eta: 8:43:56, time: 0.324, data_time: 0.008, memory: 3132, loss_rpn_cls: 0.1063, loss_rpn_bbox: 0.0262, loss_cls: 5.7119, loss_bbox: 1.9770, loss: 7.8214 +2022-09-01 23:17:25,240 - mmdet - INFO - Epoch [1][500/7390] lr: 1.996e-02, eta: 8:39:36, time: 0.329, data_time: 0.009, memory: 3132, loss_rpn_cls: 0.1033, loss_rpn_bbox: 0.0255, loss_cls: 5.6477, loss_bbox: 1.9978, loss: 7.7742 +2022-09-01 23:17:41,830 - mmdet - INFO - Epoch [1][550/7390] lr: 2.000e-02, eta: 8:36:26, time: 0.332, data_time: 0.008, memory: 3132, loss_rpn_cls: 0.1039, loss_rpn_bbox: 0.0264, loss_cls: 5.6449, loss_bbox: 2.0133, loss: 7.7885 +2022-09-01 23:17:58,166 - mmdet - INFO - Epoch [1][600/7390] lr: 2.000e-02, eta: 8:33:02, time: 0.326, data_time: 0.008, memory: 3132, loss_rpn_cls: 0.1008, loss_rpn_bbox: 0.0258, loss_cls: 5.6107, loss_bbox: 2.0266, loss: 7.7639 +2022-09-01 23:18:14,892 - mmdet - INFO - Epoch [1][650/7390] lr: 2.000e-02, eta: 8:31:06, time: 0.335, data_time: 0.009, memory: 3132, loss_rpn_cls: 0.1009, loss_rpn_bbox: 0.0265, loss_cls: 5.5837, loss_bbox: 2.0150, loss: 7.7261 +2022-09-01 23:18:31,453 - mmdet - INFO - Epoch [1][700/7390] lr: 2.000e-02, eta: 8:29:02, time: 0.331, data_time: 0.008, memory: 3132, loss_rpn_cls: 0.0979, loss_rpn_bbox: 0.0268, loss_cls: 5.5534, loss_bbox: 2.0128, loss: 7.6909 +2022-09-01 23:18:48,082 - mmdet - INFO - Epoch [1][750/7390] lr: 2.000e-02, eta: 8:27:17, time: 0.332, data_time: 0.008, memory: 3132, loss_rpn_cls: 0.0953, loss_rpn_bbox: 0.0263, loss_cls: 5.5300, loss_bbox: 2.0118, loss: 7.6634 +2022-09-01 23:19:04,350 - mmdet - INFO - Epoch [1][800/7390] lr: 2.000e-02, eta: 8:25:08, time: 0.326, data_time: 0.008, memory: 3132, loss_rpn_cls: 0.0932, loss_rpn_bbox: 0.0260, loss_cls: 5.4857, loss_bbox: 2.0020, loss: 7.6069 +2022-09-01 23:19:21,077 - mmdet - INFO - Epoch [1][850/7390] lr: 2.000e-02, eta: 8:23:57, time: 0.334, data_time: 0.008, memory: 3132, loss_rpn_cls: 0.0926, loss_rpn_bbox: 0.0265, loss_cls: 5.4727, loss_bbox: 1.9682, loss: 7.5599 +2022-09-01 23:19:37,724 - mmdet - INFO - Epoch [1][900/7390] lr: 2.000e-02, eta: 8:22:42, time: 0.333, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0913, loss_rpn_bbox: 0.0263, loss_cls: 5.4573, loss_bbox: 1.9534, loss: 7.5282 +2022-09-01 23:19:53,584 - mmdet - INFO - Epoch [1][950/7390] lr: 2.000e-02, eta: 8:20:24, time: 0.317, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0872, loss_rpn_bbox: 0.0251, loss_cls: 5.4002, loss_bbox: 1.9699, loss: 7.4823 +2022-09-01 23:20:10,394 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:20:10,394 - mmdet - INFO - Epoch [1][1000/7390] lr: 2.000e-02, eta: 8:19:39, time: 0.336, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0894, loss_rpn_bbox: 0.0260, loss_cls: 5.4245, loss_bbox: 1.9258, loss: 7.4657 +2022-09-01 23:20:26,703 - mmdet - INFO - Epoch [1][1050/7390] lr: 2.000e-02, eta: 8:18:16, time: 0.326, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0868, loss_rpn_bbox: 0.0258, loss_cls: 5.4063, loss_bbox: 1.9209, loss: 7.4397 +2022-09-01 23:20:42,946 - mmdet - INFO - Epoch [1][1100/7390] lr: 2.000e-02, eta: 8:16:55, time: 0.325, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0872, loss_rpn_bbox: 0.0259, loss_cls: 5.3803, loss_bbox: 1.8889, loss: 7.3823 +2022-09-01 23:20:59,105 - mmdet - INFO - Epoch [1][1150/7390] lr: 2.000e-02, eta: 8:15:34, time: 0.323, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0858, loss_rpn_bbox: 0.0263, loss_cls: 5.3819, loss_bbox: 1.8644, loss: 7.3585 +2022-09-01 23:21:15,594 - mmdet - INFO - Epoch [1][1200/7390] lr: 2.000e-02, eta: 8:14:40, time: 0.330, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0858, loss_rpn_bbox: 0.0261, loss_cls: 5.3270, loss_bbox: 1.8659, loss: 7.3049 +2022-09-01 23:21:31,672 - mmdet - INFO - Epoch [1][1250/7390] lr: 2.000e-02, eta: 8:13:21, time: 0.322, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0840, loss_rpn_bbox: 0.0256, loss_cls: 5.3085, loss_bbox: 1.8471, loss: 7.2653 +2022-09-01 23:21:48,251 - mmdet - INFO - Epoch [1][1300/7390] lr: 2.000e-02, eta: 8:12:41, time: 0.332, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0842, loss_rpn_bbox: 0.0265, loss_cls: 5.2929, loss_bbox: 1.8446, loss: 7.2482 +2022-09-01 23:22:04,062 - mmdet - INFO - Epoch [1][1350/7390] lr: 2.000e-02, eta: 8:11:13, time: 0.316, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0811, loss_rpn_bbox: 0.0255, loss_cls: 5.2266, loss_bbox: 1.8410, loss: 7.1744 +2022-09-01 23:22:20,329 - mmdet - INFO - Epoch [1][1400/7390] lr: 2.000e-02, eta: 8:10:18, time: 0.325, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0805, loss_rpn_bbox: 0.0257, loss_cls: 5.1921, loss_bbox: 1.8331, loss: 7.1313 +2022-09-01 23:22:36,788 - mmdet - INFO - Epoch [1][1450/7390] lr: 2.000e-02, eta: 8:09:36, time: 0.329, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0798, loss_rpn_bbox: 0.0256, loss_cls: 5.1331, loss_bbox: 1.8306, loss: 7.0691 +2022-09-01 23:22:53,452 - mmdet - INFO - Epoch [1][1500/7390] lr: 2.000e-02, eta: 8:09:09, time: 0.333, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0830, loss_rpn_bbox: 0.0265, loss_cls: 5.1174, loss_bbox: 1.8168, loss: 7.0437 +2022-09-01 23:23:09,828 - mmdet - INFO - Epoch [1][1550/7390] lr: 2.000e-02, eta: 8:08:26, time: 0.327, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0810, loss_rpn_bbox: 0.0264, loss_cls: 5.0640, loss_bbox: 1.8172, loss: 6.9886 +2022-09-01 23:23:26,653 - mmdet - INFO - Epoch [1][1600/7390] lr: 2.000e-02, eta: 8:08:11, time: 0.337, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0794, loss_rpn_bbox: 0.0258, loss_cls: 4.9878, loss_bbox: 1.8137, loss: 6.9066 +2022-09-01 23:23:43,123 - mmdet - INFO - Epoch [1][1650/7390] lr: 2.000e-02, eta: 8:07:36, time: 0.329, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0795, loss_rpn_bbox: 0.0260, loss_cls: 4.9484, loss_bbox: 1.8085, loss: 6.8624 +2022-09-01 23:23:59,527 - mmdet - INFO - Epoch [1][1700/7390] lr: 2.000e-02, eta: 8:06:57, time: 0.328, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0777, loss_rpn_bbox: 0.0255, loss_cls: 4.8718, loss_bbox: 1.8155, loss: 6.7906 +2022-09-01 23:24:16,278 - mmdet - INFO - Epoch [1][1750/7390] lr: 2.000e-02, eta: 8:06:38, time: 0.335, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0768, loss_rpn_bbox: 0.0257, loss_cls: 4.8225, loss_bbox: 1.8081, loss: 6.7331 +2022-09-01 23:24:32,280 - mmdet - INFO - Epoch [1][1800/7390] lr: 2.000e-02, eta: 8:05:43, time: 0.320, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0754, loss_rpn_bbox: 0.0249, loss_cls: 4.7425, loss_bbox: 1.8061, loss: 6.6490 +2022-09-01 23:24:48,467 - mmdet - INFO - Epoch [1][1850/7390] lr: 2.000e-02, eta: 8:04:59, time: 0.324, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0756, loss_rpn_bbox: 0.0256, loss_cls: 4.7165, loss_bbox: 1.8066, loss: 6.6242 +2022-09-01 23:25:04,875 - mmdet - INFO - Epoch [1][1900/7390] lr: 2.000e-02, eta: 8:04:26, time: 0.328, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0753, loss_rpn_bbox: 0.0258, loss_cls: 4.6108, loss_bbox: 1.7942, loss: 6.5061 +2022-09-01 23:25:20,952 - mmdet - INFO - Epoch [1][1950/7390] lr: 2.000e-02, eta: 8:03:40, time: 0.322, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0737, loss_rpn_bbox: 0.0251, loss_cls: 4.5819, loss_bbox: 1.7995, loss: 6.4803 +2022-09-01 23:25:37,591 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:25:37,592 - mmdet - INFO - Epoch [1][2000/7390] lr: 2.000e-02, eta: 8:03:20, time: 0.333, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0741, loss_rpn_bbox: 0.0255, loss_cls: 4.5020, loss_bbox: 1.7947, loss: 6.3963 +2022-09-01 23:25:54,292 - mmdet - INFO - Epoch [1][2050/7390] lr: 2.000e-02, eta: 8:03:01, time: 0.334, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0750, loss_rpn_bbox: 0.0265, loss_cls: 4.4775, loss_bbox: 1.7755, loss: 6.3545 +2022-09-01 23:26:10,890 - mmdet - INFO - Epoch [1][2100/7390] lr: 2.000e-02, eta: 8:02:40, time: 0.332, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0730, loss_rpn_bbox: 0.0259, loss_cls: 4.4211, loss_bbox: 1.7879, loss: 6.3079 +2022-09-01 23:26:27,726 - mmdet - INFO - Epoch [1][2150/7390] lr: 2.000e-02, eta: 8:02:28, time: 0.337, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0726, loss_rpn_bbox: 0.0258, loss_cls: 4.3568, loss_bbox: 1.7946, loss: 6.2498 +2022-09-01 23:26:44,225 - mmdet - INFO - Epoch [1][2200/7390] lr: 2.000e-02, eta: 8:02:02, time: 0.330, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0702, loss_rpn_bbox: 0.0257, loss_cls: 4.3231, loss_bbox: 1.7971, loss: 6.2161 +2022-09-01 23:27:01,134 - mmdet - INFO - Epoch [1][2250/7390] lr: 2.000e-02, eta: 8:01:52, time: 0.338, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0693, loss_rpn_bbox: 0.0253, loss_cls: 4.2463, loss_bbox: 1.7933, loss: 6.1342 +2022-09-01 23:27:17,426 - mmdet - INFO - Epoch [1][2300/7390] lr: 2.000e-02, eta: 8:01:18, time: 0.325, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0693, loss_rpn_bbox: 0.0253, loss_cls: 4.2106, loss_bbox: 1.7864, loss: 6.0915 +2022-09-01 23:27:34,067 - mmdet - INFO - Epoch [1][2350/7390] lr: 2.000e-02, eta: 8:01:00, time: 0.333, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0705, loss_rpn_bbox: 0.0262, loss_cls: 4.2104, loss_bbox: 1.7908, loss: 6.0979 +2022-09-01 23:27:50,868 - mmdet - INFO - Epoch [1][2400/7390] lr: 2.000e-02, eta: 8:00:46, time: 0.336, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0702, loss_rpn_bbox: 0.0260, loss_cls: 4.1552, loss_bbox: 1.7914, loss: 6.0428 +2022-09-01 23:28:07,141 - mmdet - INFO - Epoch [1][2450/7390] lr: 2.000e-02, eta: 8:00:14, time: 0.326, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0681, loss_rpn_bbox: 0.0260, loss_cls: 4.0975, loss_bbox: 1.7801, loss: 5.9717 +2022-09-01 23:28:23,775 - mmdet - INFO - Epoch [1][2500/7390] lr: 2.000e-02, eta: 7:59:55, time: 0.333, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0663, loss_rpn_bbox: 0.0249, loss_cls: 4.0624, loss_bbox: 1.7887, loss: 5.9423 +2022-09-01 23:28:40,591 - mmdet - INFO - Epoch [1][2550/7390] lr: 2.000e-02, eta: 7:59:41, time: 0.336, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0670, loss_rpn_bbox: 0.0254, loss_cls: 4.0379, loss_bbox: 1.7870, loss: 5.9174 +2022-09-01 23:28:57,089 - mmdet - INFO - Epoch [1][2600/7390] lr: 2.000e-02, eta: 7:59:17, time: 0.330, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0670, loss_rpn_bbox: 0.0255, loss_cls: 3.9947, loss_bbox: 1.7892, loss: 5.8763 +2022-09-01 23:29:14,227 - mmdet - INFO - Epoch [1][2650/7390] lr: 2.000e-02, eta: 7:59:14, time: 0.343, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0666, loss_rpn_bbox: 0.0256, loss_cls: 3.9719, loss_bbox: 1.7779, loss: 5.8421 +2022-09-01 23:29:30,673 - mmdet - INFO - Epoch [1][2700/7390] lr: 2.000e-02, eta: 7:58:50, time: 0.330, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0670, loss_rpn_bbox: 0.0260, loss_cls: 3.9431, loss_bbox: 1.7665, loss: 5.8027 +2022-09-01 23:29:47,051 - mmdet - INFO - Epoch [1][2750/7390] lr: 2.000e-02, eta: 7:58:22, time: 0.326, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0649, loss_rpn_bbox: 0.0251, loss_cls: 3.9025, loss_bbox: 1.7750, loss: 5.7674 +2022-09-01 23:30:03,686 - mmdet - INFO - Epoch [1][2800/7390] lr: 2.000e-02, eta: 7:58:04, time: 0.333, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0661, loss_rpn_bbox: 0.0257, loss_cls: 3.8733, loss_bbox: 1.7657, loss: 5.7308 +2022-09-01 23:30:19,909 - mmdet - INFO - Epoch [1][2850/7390] lr: 2.000e-02, eta: 7:57:33, time: 0.325, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0655, loss_rpn_bbox: 0.0252, loss_cls: 3.8460, loss_bbox: 1.7768, loss: 5.7135 +2022-09-01 23:30:36,251 - mmdet - INFO - Epoch [1][2900/7390] lr: 2.000e-02, eta: 7:57:06, time: 0.327, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0647, loss_rpn_bbox: 0.0250, loss_cls: 3.8436, loss_bbox: 1.7812, loss: 5.7145 +2022-09-01 23:30:52,641 - mmdet - INFO - Epoch [1][2950/7390] lr: 2.000e-02, eta: 7:56:41, time: 0.328, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0641, loss_rpn_bbox: 0.0252, loss_cls: 3.8057, loss_bbox: 1.7670, loss: 5.6620 +2022-09-01 23:31:09,566 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:31:09,567 - mmdet - INFO - Epoch [1][3000/7390] lr: 2.000e-02, eta: 7:56:30, time: 0.338, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0638, loss_rpn_bbox: 0.0252, loss_cls: 3.8040, loss_bbox: 1.7711, loss: 5.6640 +2022-09-01 23:31:25,689 - mmdet - INFO - Epoch [1][3050/7390] lr: 2.000e-02, eta: 7:55:59, time: 0.323, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0249, loss_cls: 3.7761, loss_bbox: 1.7655, loss: 5.6300 +2022-09-01 23:31:42,286 - mmdet - INFO - Epoch [1][3100/7390] lr: 2.000e-02, eta: 7:55:38, time: 0.330, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0651, loss_rpn_bbox: 0.0257, loss_cls: 3.7468, loss_bbox: 1.7496, loss: 5.5872 +2022-09-01 23:31:58,886 - mmdet - INFO - Epoch [1][3150/7390] lr: 2.000e-02, eta: 7:55:20, time: 0.333, data_time: 0.010, memory: 3736, loss_rpn_cls: 0.0633, loss_rpn_bbox: 0.0249, loss_cls: 3.7316, loss_bbox: 1.7692, loss: 5.5889 +2022-09-01 23:32:15,307 - mmdet - INFO - Epoch [1][3200/7390] lr: 2.000e-02, eta: 7:54:57, time: 0.329, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0634, loss_rpn_bbox: 0.0254, loss_cls: 3.7294, loss_bbox: 1.7650, loss: 5.5832 +2022-09-01 23:32:31,261 - mmdet - INFO - Epoch [1][3250/7390] lr: 2.000e-02, eta: 7:54:21, time: 0.319, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0631, loss_rpn_bbox: 0.0249, loss_cls: 3.6878, loss_bbox: 1.7584, loss: 5.5342 +2022-09-01 23:32:47,379 - mmdet - INFO - Epoch [1][3300/7390] lr: 2.000e-02, eta: 7:53:51, time: 0.323, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0242, loss_cls: 3.6594, loss_bbox: 1.7682, loss: 5.5125 +2022-09-01 23:33:03,797 - mmdet - INFO - Epoch [1][3350/7390] lr: 2.000e-02, eta: 7:53:29, time: 0.329, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0624, loss_rpn_bbox: 0.0247, loss_cls: 3.6519, loss_bbox: 1.7475, loss: 5.4864 +2022-09-01 23:33:20,149 - mmdet - INFO - Epoch [1][3400/7390] lr: 2.000e-02, eta: 7:53:05, time: 0.327, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0627, loss_rpn_bbox: 0.0253, loss_cls: 3.6542, loss_bbox: 1.7455, loss: 5.4877 +2022-09-01 23:33:36,825 - mmdet - INFO - Epoch [1][3450/7390] lr: 2.000e-02, eta: 7:52:49, time: 0.333, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0632, loss_rpn_bbox: 0.0258, loss_cls: 3.6431, loss_bbox: 1.7401, loss: 5.4722 +2022-09-01 23:33:53,048 - mmdet - INFO - Epoch [1][3500/7390] lr: 2.000e-02, eta: 7:52:21, time: 0.324, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0618, loss_rpn_bbox: 0.0244, loss_cls: 3.5926, loss_bbox: 1.7534, loss: 5.4321 +2022-09-01 23:34:09,659 - mmdet - INFO - Epoch [1][3550/7390] lr: 2.000e-02, eta: 7:52:05, time: 0.333, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0645, loss_rpn_bbox: 0.0254, loss_cls: 3.5836, loss_bbox: 1.7477, loss: 5.4212 +2022-09-01 23:34:26,154 - mmdet - INFO - Epoch [1][3600/7390] lr: 2.000e-02, eta: 7:51:44, time: 0.330, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0623, loss_rpn_bbox: 0.0251, loss_cls: 3.5934, loss_bbox: 1.7440, loss: 5.4249 +2022-09-01 23:34:42,967 - mmdet - INFO - Epoch [1][3650/7390] lr: 2.000e-02, eta: 7:51:33, time: 0.337, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0643, loss_rpn_bbox: 0.0258, loss_cls: 3.5968, loss_bbox: 1.7325, loss: 5.4195 +2022-09-01 23:34:59,369 - mmdet - INFO - Epoch [1][3700/7390] lr: 2.000e-02, eta: 7:51:10, time: 0.327, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0252, loss_cls: 3.5672, loss_bbox: 1.7273, loss: 5.3813 +2022-09-01 23:35:15,963 - mmdet - INFO - Epoch [1][3750/7390] lr: 2.000e-02, eta: 7:50:52, time: 0.332, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0256, loss_cls: 3.5856, loss_bbox: 1.7346, loss: 5.4073 +2022-09-01 23:35:32,473 - mmdet - INFO - Epoch [1][3800/7390] lr: 2.000e-02, eta: 7:50:34, time: 0.331, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0246, loss_cls: 3.5533, loss_bbox: 1.7373, loss: 5.3763 +2022-09-01 23:35:48,808 - mmdet - INFO - Epoch [1][3850/7390] lr: 2.000e-02, eta: 7:50:10, time: 0.327, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0604, loss_rpn_bbox: 0.0248, loss_cls: 3.5280, loss_bbox: 1.7324, loss: 5.3456 +2022-09-01 23:36:05,712 - mmdet - INFO - Epoch [1][3900/7390] lr: 2.000e-02, eta: 7:50:00, time: 0.338, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0252, loss_cls: 3.5240, loss_bbox: 1.7299, loss: 5.3389 +2022-09-01 23:36:22,778 - mmdet - INFO - Epoch [1][3950/7390] lr: 2.000e-02, eta: 7:49:52, time: 0.341, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0254, loss_cls: 3.5319, loss_bbox: 1.7307, loss: 5.3506 +2022-09-01 23:36:39,041 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:36:39,042 - mmdet - INFO - Epoch [1][4000/7390] lr: 2.000e-02, eta: 7:49:27, time: 0.325, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0246, loss_cls: 3.4747, loss_bbox: 1.7286, loss: 5.2877 +2022-09-01 23:36:55,623 - mmdet - INFO - Epoch [1][4050/7390] lr: 2.000e-02, eta: 7:49:10, time: 0.332, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0248, loss_cls: 3.5067, loss_bbox: 1.7267, loss: 5.3185 +2022-09-01 23:37:12,220 - mmdet - INFO - Epoch [1][4100/7390] lr: 2.000e-02, eta: 7:48:53, time: 0.332, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0610, loss_rpn_bbox: 0.0251, loss_cls: 3.4942, loss_bbox: 1.7219, loss: 5.3022 +2022-09-01 23:37:28,904 - mmdet - INFO - Epoch [1][4150/7390] lr: 2.000e-02, eta: 7:48:37, time: 0.333, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0249, loss_cls: 3.4788, loss_bbox: 1.7191, loss: 5.2828 +2022-09-01 23:37:45,789 - mmdet - INFO - Epoch [1][4200/7390] lr: 2.000e-02, eta: 7:48:25, time: 0.338, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0622, loss_rpn_bbox: 0.0257, loss_cls: 3.4824, loss_bbox: 1.7144, loss: 5.2847 +2022-09-01 23:38:02,499 - mmdet - INFO - Epoch [1][4250/7390] lr: 2.000e-02, eta: 7:48:11, time: 0.335, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0253, loss_cls: 3.4591, loss_bbox: 1.7200, loss: 5.2656 +2022-09-01 23:38:19,440 - mmdet - INFO - Epoch [1][4300/7390] lr: 2.000e-02, eta: 7:47:59, time: 0.338, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0249, loss_cls: 3.4621, loss_bbox: 1.7164, loss: 5.2632 +2022-09-01 23:38:35,442 - mmdet - INFO - Epoch [1][4350/7390] lr: 2.000e-02, eta: 7:47:30, time: 0.320, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0231, loss_cls: 3.4599, loss_bbox: 1.7322, loss: 5.2720 +2022-09-01 23:38:52,594 - mmdet - INFO - Epoch [1][4400/7390] lr: 2.000e-02, eta: 7:47:24, time: 0.344, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0254, loss_cls: 3.4462, loss_bbox: 1.7109, loss: 5.2438 +2022-09-01 23:39:08,945 - mmdet - INFO - Epoch [1][4450/7390] lr: 2.000e-02, eta: 7:47:01, time: 0.326, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0600, loss_rpn_bbox: 0.0247, loss_cls: 3.4374, loss_bbox: 1.7177, loss: 5.2398 +2022-09-01 23:39:25,460 - mmdet - INFO - Epoch [1][4500/7390] lr: 2.000e-02, eta: 7:46:43, time: 0.331, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0606, loss_rpn_bbox: 0.0249, loss_cls: 3.4286, loss_bbox: 1.7166, loss: 5.2307 +2022-09-01 23:39:41,920 - mmdet - INFO - Epoch [1][4550/7390] lr: 2.000e-02, eta: 7:46:23, time: 0.329, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0249, loss_cls: 3.4437, loss_bbox: 1.7221, loss: 5.2506 +2022-09-01 23:39:58,181 - mmdet - INFO - Epoch [1][4600/7390] lr: 2.000e-02, eta: 7:45:59, time: 0.324, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0242, loss_cls: 3.3939, loss_bbox: 1.7243, loss: 5.2012 +2022-09-01 23:40:14,175 - mmdet - INFO - Epoch [1][4650/7390] lr: 2.000e-02, eta: 7:45:32, time: 0.321, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0240, loss_cls: 3.3977, loss_bbox: 1.7186, loss: 5.1997 +2022-09-01 23:40:30,813 - mmdet - INFO - Epoch [1][4700/7390] lr: 2.000e-02, eta: 7:45:15, time: 0.332, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0248, loss_cls: 3.3852, loss_bbox: 1.7169, loss: 5.1869 +2022-09-01 23:40:48,170 - mmdet - INFO - Epoch [1][4750/7390] lr: 2.000e-02, eta: 7:45:12, time: 0.347, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0602, loss_rpn_bbox: 0.0254, loss_cls: 3.4333, loss_bbox: 1.7062, loss: 5.2251 +2022-09-01 23:41:04,789 - mmdet - INFO - Epoch [1][4800/7390] lr: 2.000e-02, eta: 7:44:55, time: 0.333, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0247, loss_cls: 3.3749, loss_bbox: 1.7160, loss: 5.1752 +2022-09-01 23:41:21,458 - mmdet - INFO - Epoch [1][4850/7390] lr: 2.000e-02, eta: 7:44:39, time: 0.333, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0250, loss_cls: 3.3775, loss_bbox: 1.7116, loss: 5.1736 +2022-09-01 23:41:38,205 - mmdet - INFO - Epoch [1][4900/7390] lr: 2.000e-02, eta: 7:44:24, time: 0.335, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0601, loss_rpn_bbox: 0.0247, loss_cls: 3.3602, loss_bbox: 1.7029, loss: 5.1478 +2022-09-01 23:41:54,988 - mmdet - INFO - Epoch [1][4950/7390] lr: 2.000e-02, eta: 7:44:11, time: 0.336, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0603, loss_rpn_bbox: 0.0250, loss_cls: 3.3551, loss_bbox: 1.7040, loss: 5.1443 +2022-09-01 23:42:11,721 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:42:11,722 - mmdet - INFO - Epoch [1][5000/7390] lr: 2.000e-02, eta: 7:43:55, time: 0.334, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0249, loss_cls: 3.3648, loss_bbox: 1.7097, loss: 5.1600 +2022-09-01 23:42:28,561 - mmdet - INFO - Epoch [1][5050/7390] lr: 2.000e-02, eta: 7:43:42, time: 0.337, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0598, loss_rpn_bbox: 0.0251, loss_cls: 3.3415, loss_bbox: 1.7049, loss: 5.1313 +2022-09-01 23:42:44,850 - mmdet - INFO - Epoch [1][5100/7390] lr: 2.000e-02, eta: 7:43:19, time: 0.325, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0246, loss_cls: 3.3413, loss_bbox: 1.7117, loss: 5.1350 +2022-09-01 23:43:00,976 - mmdet - INFO - Epoch [1][5150/7390] lr: 2.000e-02, eta: 7:42:55, time: 0.323, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0237, loss_cls: 3.3232, loss_bbox: 1.7114, loss: 5.1152 +2022-09-01 23:43:17,615 - mmdet - INFO - Epoch [1][5200/7390] lr: 2.000e-02, eta: 7:42:38, time: 0.332, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0247, loss_cls: 3.3509, loss_bbox: 1.6963, loss: 5.1303 +2022-09-01 23:43:34,796 - mmdet - INFO - Epoch [1][5250/7390] lr: 2.000e-02, eta: 7:42:30, time: 0.344, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0248, loss_cls: 3.3724, loss_bbox: 1.7032, loss: 5.1586 +2022-09-01 23:43:51,577 - mmdet - INFO - Epoch [1][5300/7390] lr: 2.000e-02, eta: 7:42:17, time: 0.337, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0244, loss_cls: 3.3207, loss_bbox: 1.6992, loss: 5.1020 +2022-09-01 23:44:08,166 - mmdet - INFO - Epoch [1][5350/7390] lr: 2.000e-02, eta: 7:41:59, time: 0.332, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0576, loss_rpn_bbox: 0.0243, loss_cls: 3.3512, loss_bbox: 1.6963, loss: 5.1294 +2022-09-01 23:44:24,424 - mmdet - INFO - Epoch [1][5400/7390] lr: 2.000e-02, eta: 7:41:37, time: 0.325, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0235, loss_cls: 3.3145, loss_bbox: 1.7110, loss: 5.1049 +2022-09-01 23:44:41,104 - mmdet - INFO - Epoch [1][5450/7390] lr: 2.000e-02, eta: 7:41:21, time: 0.333, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0589, loss_rpn_bbox: 0.0247, loss_cls: 3.3142, loss_bbox: 1.6941, loss: 5.0919 +2022-09-01 23:44:58,045 - mmdet - INFO - Epoch [1][5500/7390] lr: 2.000e-02, eta: 7:41:09, time: 0.339, data_time: 0.010, memory: 3736, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0247, loss_cls: 3.3252, loss_bbox: 1.7061, loss: 5.1140 +2022-09-01 23:45:14,669 - mmdet - INFO - Epoch [1][5550/7390] lr: 2.000e-02, eta: 7:40:52, time: 0.332, data_time: 0.010, memory: 3736, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0244, loss_cls: 3.3220, loss_bbox: 1.6886, loss: 5.0919 +2022-09-01 23:45:30,909 - mmdet - INFO - Epoch [1][5600/7390] lr: 2.000e-02, eta: 7:40:30, time: 0.325, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0247, loss_cls: 3.2994, loss_bbox: 1.7055, loss: 5.0886 +2022-09-01 23:45:47,534 - mmdet - INFO - Epoch [1][5650/7390] lr: 2.000e-02, eta: 7:40:13, time: 0.332, data_time: 0.010, memory: 3736, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0242, loss_cls: 3.3293, loss_bbox: 1.6964, loss: 5.1069 +2022-09-01 23:46:04,256 - mmdet - INFO - Epoch [1][5700/7390] lr: 2.000e-02, eta: 7:39:58, time: 0.335, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0242, loss_cls: 3.3060, loss_bbox: 1.6977, loss: 5.0850 +2022-09-01 23:46:20,648 - mmdet - INFO - Epoch [1][5750/7390] lr: 2.000e-02, eta: 7:39:38, time: 0.328, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0241, loss_cls: 3.2904, loss_bbox: 1.7000, loss: 5.0726 +2022-09-01 23:46:37,398 - mmdet - INFO - Epoch [1][5800/7390] lr: 2.000e-02, eta: 7:39:23, time: 0.335, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0249, loss_cls: 3.2719, loss_bbox: 1.6855, loss: 5.0404 +2022-09-01 23:46:53,877 - mmdet - INFO - Epoch [1][5850/7390] lr: 2.000e-02, eta: 7:39:04, time: 0.329, data_time: 0.008, memory: 3736, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0245, loss_cls: 3.2874, loss_bbox: 1.6949, loss: 5.0645 +2022-09-01 23:47:10,139 - mmdet - INFO - Epoch [1][5900/7390] lr: 2.000e-02, eta: 7:38:43, time: 0.325, data_time: 0.009, memory: 3736, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0242, loss_cls: 3.2977, loss_bbox: 1.7019, loss: 5.0822 +2022-09-01 23:47:27,168 - mmdet - INFO - Epoch [1][5950/7390] lr: 2.000e-02, eta: 7:38:31, time: 0.340, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0246, loss_cls: 3.2871, loss_bbox: 1.6993, loss: 5.0678 +2022-09-01 23:47:43,895 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:47:43,895 - mmdet - INFO - Epoch [1][6000/7390] lr: 2.000e-02, eta: 7:38:16, time: 0.335, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0249, loss_cls: 3.3004, loss_bbox: 1.6980, loss: 5.0815 +2022-09-01 23:48:00,745 - mmdet - INFO - Epoch [1][6050/7390] lr: 2.000e-02, eta: 7:38:03, time: 0.337, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0249, loss_cls: 3.2933, loss_bbox: 1.6799, loss: 5.0564 +2022-09-01 23:48:17,531 - mmdet - INFO - Epoch [1][6100/7390] lr: 2.000e-02, eta: 7:37:48, time: 0.336, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0247, loss_cls: 3.2732, loss_bbox: 1.6876, loss: 5.0426 +2022-09-01 23:48:34,465 - mmdet - INFO - Epoch [1][6150/7390] lr: 2.000e-02, eta: 7:37:35, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0255, loss_cls: 3.2735, loss_bbox: 1.6861, loss: 5.0446 +2022-09-01 23:48:50,869 - mmdet - INFO - Epoch [1][6200/7390] lr: 2.000e-02, eta: 7:37:16, time: 0.329, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0239, loss_cls: 3.2595, loss_bbox: 1.6884, loss: 5.0280 +2022-09-01 23:49:07,540 - mmdet - INFO - Epoch [1][6250/7390] lr: 2.000e-02, eta: 7:36:59, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0247, loss_cls: 3.2726, loss_bbox: 1.6862, loss: 5.0406 +2022-09-01 23:49:24,415 - mmdet - INFO - Epoch [1][6300/7390] lr: 2.000e-02, eta: 7:36:46, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0251, loss_cls: 3.3045, loss_bbox: 1.6811, loss: 5.0687 +2022-09-01 23:49:41,330 - mmdet - INFO - Epoch [1][6350/7390] lr: 2.000e-02, eta: 7:36:33, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0251, loss_cls: 3.2653, loss_bbox: 1.6849, loss: 5.0337 +2022-09-01 23:49:57,557 - mmdet - INFO - Epoch [1][6400/7390] lr: 2.000e-02, eta: 7:36:11, time: 0.324, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0237, loss_cls: 3.2410, loss_bbox: 1.6959, loss: 5.0163 +2022-09-01 23:50:14,245 - mmdet - INFO - Epoch [1][6450/7390] lr: 2.000e-02, eta: 7:35:55, time: 0.334, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0247, loss_cls: 3.2340, loss_bbox: 1.6870, loss: 5.0037 +2022-09-01 23:50:30,848 - mmdet - INFO - Epoch [1][6500/7390] lr: 2.000e-02, eta: 7:35:38, time: 0.333, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0244, loss_cls: 3.2434, loss_bbox: 1.6824, loss: 5.0083 +2022-09-01 23:50:47,284 - mmdet - INFO - Epoch [1][6550/7390] lr: 2.000e-02, eta: 7:35:19, time: 0.329, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0572, loss_rpn_bbox: 0.0244, loss_cls: 3.2417, loss_bbox: 1.6874, loss: 5.0108 +2022-09-01 23:51:03,976 - mmdet - INFO - Epoch [1][6600/7390] lr: 2.000e-02, eta: 7:35:04, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0245, loss_cls: 3.2454, loss_bbox: 1.6818, loss: 5.0093 +2022-09-01 23:51:21,187 - mmdet - INFO - Epoch [1][6650/7390] lr: 2.000e-02, eta: 7:34:54, time: 0.344, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0588, loss_rpn_bbox: 0.0255, loss_cls: 3.2749, loss_bbox: 1.6744, loss: 5.0337 +2022-09-01 23:51:38,091 - mmdet - INFO - Epoch [1][6700/7390] lr: 2.000e-02, eta: 7:34:40, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0241, loss_cls: 3.2209, loss_bbox: 1.6846, loss: 4.9869 +2022-09-01 23:51:54,618 - mmdet - INFO - Epoch [1][6750/7390] lr: 2.000e-02, eta: 7:34:22, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0244, loss_cls: 3.2444, loss_bbox: 1.6891, loss: 5.0143 +2022-09-01 23:52:10,579 - mmdet - INFO - Epoch [1][6800/7390] lr: 2.000e-02, eta: 7:33:58, time: 0.319, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0235, loss_cls: 3.2315, loss_bbox: 1.6858, loss: 4.9973 +2022-09-01 23:52:27,110 - mmdet - INFO - Epoch [1][6850/7390] lr: 2.000e-02, eta: 7:33:40, time: 0.330, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0247, loss_cls: 3.2640, loss_bbox: 1.6907, loss: 5.0370 +2022-09-01 23:52:43,452 - mmdet - INFO - Epoch [1][6900/7390] lr: 2.000e-02, eta: 7:33:20, time: 0.327, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0242, loss_cls: 3.2221, loss_bbox: 1.6782, loss: 4.9818 +2022-09-01 23:53:00,468 - mmdet - INFO - Epoch [1][6950/7390] lr: 2.000e-02, eta: 7:33:08, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0245, loss_cls: 3.2309, loss_bbox: 1.6833, loss: 4.9942 +2022-09-01 23:53:16,906 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:53:16,907 - mmdet - INFO - Epoch [1][7000/7390] lr: 2.000e-02, eta: 7:32:49, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0237, loss_cls: 3.2084, loss_bbox: 1.6810, loss: 4.9692 +2022-09-01 23:53:33,319 - mmdet - INFO - Epoch [1][7050/7390] lr: 2.000e-02, eta: 7:32:29, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0235, loss_cls: 3.1837, loss_bbox: 1.6871, loss: 4.9500 +2022-09-01 23:53:49,959 - mmdet - INFO - Epoch [1][7100/7390] lr: 2.000e-02, eta: 7:32:13, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0242, loss_cls: 3.2082, loss_bbox: 1.6855, loss: 4.9745 +2022-09-01 23:54:06,748 - mmdet - INFO - Epoch [1][7150/7390] lr: 2.000e-02, eta: 7:31:58, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0247, loss_cls: 3.2258, loss_bbox: 1.6732, loss: 4.9817 +2022-09-01 23:54:23,752 - mmdet - INFO - Epoch [1][7200/7390] lr: 2.000e-02, eta: 7:31:46, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0240, loss_cls: 3.2101, loss_bbox: 1.6759, loss: 4.9652 +2022-09-01 23:54:40,976 - mmdet - INFO - Epoch [1][7250/7390] lr: 2.000e-02, eta: 7:31:36, time: 0.344, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0242, loss_cls: 3.2294, loss_bbox: 1.6723, loss: 4.9815 +2022-09-01 23:54:57,306 - mmdet - INFO - Epoch [1][7300/7390] lr: 2.000e-02, eta: 7:31:16, time: 0.327, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0562, loss_rpn_bbox: 0.0241, loss_cls: 3.1826, loss_bbox: 1.6765, loss: 4.9394 +2022-09-01 23:55:14,057 - mmdet - INFO - Epoch [1][7350/7390] lr: 2.000e-02, eta: 7:31:00, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0237, loss_cls: 3.2073, loss_bbox: 1.6802, loss: 4.9663 +2022-09-01 23:55:27,552 - mmdet - INFO - Saving checkpoint at 1 epochs +2022-09-01 23:55:48,944 - mmdet - INFO - Epoch [2][50/7390] lr: 2.000e-02, eta: 7:28:41, time: 0.400, data_time: 0.070, memory: 3935, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0242, loss_cls: 3.1983, loss_bbox: 1.6666, loss: 4.9464 +2022-09-01 23:56:05,566 - mmdet - INFO - Epoch [2][100/7390] lr: 2.000e-02, eta: 7:28:25, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0246, loss_cls: 3.2028, loss_bbox: 1.6683, loss: 4.9528 +2022-09-01 23:56:22,925 - mmdet - INFO - Epoch [2][150/7390] lr: 2.000e-02, eta: 7:28:18, time: 0.348, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0255, loss_cls: 3.2197, loss_bbox: 1.6751, loss: 4.9780 +2022-09-01 23:56:39,341 - mmdet - INFO - Epoch [2][200/7390] lr: 2.000e-02, eta: 7:27:59, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0235, loss_cls: 3.1841, loss_bbox: 1.6749, loss: 4.9379 +2022-09-01 23:56:56,033 - mmdet - INFO - Epoch [2][250/7390] lr: 2.000e-02, eta: 7:27:44, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0240, loss_cls: 3.2004, loss_bbox: 1.6684, loss: 4.9493 +2022-09-01 23:57:13,125 - mmdet - INFO - Epoch [2][300/7390] lr: 2.000e-02, eta: 7:27:33, time: 0.342, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0242, loss_cls: 3.1807, loss_bbox: 1.6779, loss: 4.9397 +2022-09-01 23:57:29,876 - mmdet - INFO - Epoch [2][350/7390] lr: 2.000e-02, eta: 7:27:18, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0243, loss_cls: 3.1945, loss_bbox: 1.6700, loss: 4.9451 +2022-09-01 23:57:46,447 - mmdet - INFO - Epoch [2][400/7390] lr: 2.000e-02, eta: 7:27:01, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0239, loss_cls: 3.1776, loss_bbox: 1.6688, loss: 4.9259 +2022-09-01 23:58:03,256 - mmdet - INFO - Epoch [2][450/7390] lr: 2.000e-02, eta: 7:26:47, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0241, loss_cls: 3.1831, loss_bbox: 1.6690, loss: 4.9312 +2022-09-01 23:58:19,515 - mmdet - INFO - Epoch [2][500/7390] lr: 2.000e-02, eta: 7:26:27, time: 0.326, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0246, loss_cls: 3.1992, loss_bbox: 1.6755, loss: 4.9555 +2022-09-01 23:58:36,321 - mmdet - INFO - Epoch [2][550/7390] lr: 2.000e-02, eta: 7:26:13, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0239, loss_cls: 3.1819, loss_bbox: 1.6739, loss: 4.9349 +2022-09-01 23:58:52,802 - mmdet - INFO - Epoch [2][600/7390] lr: 2.000e-02, eta: 7:25:55, time: 0.330, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0240, loss_cls: 3.1858, loss_bbox: 1.6688, loss: 4.9344 +2022-09-01 23:59:09,434 - mmdet - INFO - Epoch [2][650/7390] lr: 2.000e-02, eta: 7:25:39, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0243, loss_cls: 3.1945, loss_bbox: 1.6703, loss: 4.9452 +2022-09-01 23:59:26,041 - mmdet - INFO - Epoch [2][700/7390] lr: 2.000e-02, eta: 7:25:23, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 3.1734, loss_bbox: 1.6692, loss: 4.9210 +2022-09-01 23:59:42,868 - mmdet - INFO - Epoch [2][750/7390] lr: 2.000e-02, eta: 7:25:09, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0238, loss_cls: 3.1826, loss_bbox: 1.6594, loss: 4.9205 +2022-09-01 23:59:59,251 - mmdet - INFO - Epoch [2][800/7390] lr: 2.000e-02, eta: 7:24:50, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0238, loss_cls: 3.1580, loss_bbox: 1.6686, loss: 4.9057 +2022-09-02 00:00:15,520 - mmdet - INFO - Epoch [2][850/7390] lr: 2.000e-02, eta: 7:24:31, time: 0.325, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0236, loss_cls: 3.1541, loss_bbox: 1.6634, loss: 4.8961 +2022-09-02 00:00:32,386 - mmdet - INFO - Epoch [2][900/7390] lr: 2.000e-02, eta: 7:24:17, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0240, loss_cls: 3.1729, loss_bbox: 1.6670, loss: 4.9189 +2022-09-02 00:00:49,175 - mmdet - INFO - Epoch [2][950/7390] lr: 2.000e-02, eta: 7:24:02, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0240, loss_cls: 3.1655, loss_bbox: 1.6592, loss: 4.9040 +2022-09-02 00:01:06,629 - mmdet - INFO - Epoch [2][1000/7390] lr: 2.000e-02, eta: 7:23:54, time: 0.349, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0248, loss_cls: 3.1593, loss_bbox: 1.6680, loss: 4.9084 +2022-09-02 00:01:23,889 - mmdet - INFO - Epoch [2][1050/7390] lr: 2.000e-02, eta: 7:23:44, time: 0.345, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0239, loss_cls: 3.1590, loss_bbox: 1.6634, loss: 4.9017 +2022-09-02 00:01:41,140 - mmdet - INFO - Epoch [2][1100/7390] lr: 2.000e-02, eta: 7:23:34, time: 0.345, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0574, loss_rpn_bbox: 0.0254, loss_cls: 3.1678, loss_bbox: 1.6575, loss: 4.9081 +2022-09-02 00:01:57,828 - mmdet - INFO - Epoch [2][1150/7390] lr: 2.000e-02, eta: 7:23:18, time: 0.334, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0240, loss_cls: 3.1495, loss_bbox: 1.6602, loss: 4.8895 +2022-09-02 00:02:14,247 - mmdet - INFO - Epoch [2][1200/7390] lr: 2.000e-02, eta: 7:23:00, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0240, loss_cls: 3.1621, loss_bbox: 1.6588, loss: 4.9007 +2022-09-02 00:02:30,824 - mmdet - INFO - Epoch [2][1250/7390] lr: 2.000e-02, eta: 7:22:43, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0250, loss_cls: 3.1730, loss_bbox: 1.6546, loss: 4.9108 +2022-09-02 00:02:47,611 - mmdet - INFO - Epoch [2][1300/7390] lr: 2.000e-02, eta: 7:22:28, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0247, loss_cls: 3.1696, loss_bbox: 1.6668, loss: 4.9171 +2022-09-02 00:03:04,576 - mmdet - INFO - Epoch [2][1350/7390] lr: 2.000e-02, eta: 7:22:15, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0241, loss_cls: 3.1718, loss_bbox: 1.6618, loss: 4.9124 +2022-09-02 00:03:20,835 - mmdet - INFO - Epoch [2][1400/7390] lr: 2.000e-02, eta: 7:21:55, time: 0.326, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0241, loss_cls: 3.1402, loss_bbox: 1.6462, loss: 4.8658 +2022-09-02 00:03:37,224 - mmdet - INFO - Epoch [2][1450/7390] lr: 2.000e-02, eta: 7:21:37, time: 0.327, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0237, loss_cls: 3.1620, loss_bbox: 1.6772, loss: 4.9179 +2022-09-02 00:03:53,790 - mmdet - INFO - Epoch [2][1500/7390] lr: 2.000e-02, eta: 7:21:20, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0238, loss_cls: 3.1341, loss_bbox: 1.6569, loss: 4.8691 +2022-09-02 00:04:10,894 - mmdet - INFO - Epoch [2][1550/7390] lr: 2.000e-02, eta: 7:21:08, time: 0.342, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0247, loss_cls: 3.1503, loss_bbox: 1.6517, loss: 4.8831 +2022-09-02 00:04:28,118 - mmdet - INFO - Epoch [2][1600/7390] lr: 2.000e-02, eta: 7:20:56, time: 0.343, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0249, loss_cls: 3.1672, loss_bbox: 1.6575, loss: 4.9065 +2022-09-02 00:04:44,786 - mmdet - INFO - Epoch [2][1650/7390] lr: 2.000e-02, eta: 7:20:41, time: 0.334, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0238, loss_cls: 3.1204, loss_bbox: 1.6607, loss: 4.8600 +2022-09-02 00:05:01,647 - mmdet - INFO - Epoch [2][1700/7390] lr: 2.000e-02, eta: 7:20:26, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0240, loss_cls: 3.1370, loss_bbox: 1.6626, loss: 4.8785 +2022-09-02 00:05:18,466 - mmdet - INFO - Epoch [2][1750/7390] lr: 2.000e-02, eta: 7:20:12, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0241, loss_cls: 3.1235, loss_bbox: 1.6495, loss: 4.8527 +2022-09-02 00:05:34,981 - mmdet - INFO - Epoch [2][1800/7390] lr: 2.000e-02, eta: 7:19:54, time: 0.330, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0242, loss_cls: 3.1192, loss_bbox: 1.6568, loss: 4.8563 +2022-09-02 00:05:51,266 - mmdet - INFO - Epoch [2][1850/7390] lr: 2.000e-02, eta: 7:19:35, time: 0.325, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 3.1244, loss_bbox: 1.6547, loss: 4.8576 +2022-09-02 00:06:07,961 - mmdet - INFO - Epoch [2][1900/7390] lr: 2.000e-02, eta: 7:19:19, time: 0.334, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0241, loss_cls: 3.1391, loss_bbox: 1.6643, loss: 4.8832 +2022-09-02 00:06:24,558 - mmdet - INFO - Epoch [2][1950/7390] lr: 2.000e-02, eta: 7:19:03, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0239, loss_cls: 3.1291, loss_bbox: 1.6474, loss: 4.8552 +2022-09-02 00:06:41,699 - mmdet - INFO - Epoch [2][2000/7390] lr: 2.000e-02, eta: 7:18:50, time: 0.342, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0243, loss_cls: 3.1440, loss_bbox: 1.6593, loss: 4.8833 +2022-09-02 00:06:58,220 - mmdet - INFO - Epoch [2][2050/7390] lr: 2.000e-02, eta: 7:18:33, time: 0.330, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0237, loss_cls: 3.1339, loss_bbox: 1.6642, loss: 4.8768 +2022-09-02 00:07:14,654 - mmdet - INFO - Epoch [2][2100/7390] lr: 2.000e-02, eta: 7:18:15, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0242, loss_cls: 3.1498, loss_bbox: 1.6548, loss: 4.8839 +2022-09-02 00:07:31,576 - mmdet - INFO - Epoch [2][2150/7390] lr: 2.000e-02, eta: 7:18:01, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0236, loss_cls: 3.1335, loss_bbox: 1.6552, loss: 4.8667 +2022-09-02 00:07:48,280 - mmdet - INFO - Epoch [2][2200/7390] lr: 2.000e-02, eta: 7:17:45, time: 0.334, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0240, loss_cls: 3.1463, loss_bbox: 1.6531, loss: 4.8785 +2022-09-02 00:08:04,925 - mmdet - INFO - Epoch [2][2250/7390] lr: 2.000e-02, eta: 7:17:29, time: 0.333, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0241, loss_cls: 3.1332, loss_bbox: 1.6468, loss: 4.8593 +2022-09-02 00:08:21,965 - mmdet - INFO - Epoch [2][2300/7390] lr: 2.000e-02, eta: 7:17:16, time: 0.341, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0247, loss_cls: 3.1552, loss_bbox: 1.6517, loss: 4.8879 +2022-09-02 00:08:38,218 - mmdet - INFO - Epoch [2][2350/7390] lr: 2.000e-02, eta: 7:16:57, time: 0.325, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0236, loss_cls: 3.1293, loss_bbox: 1.6543, loss: 4.8616 +2022-09-02 00:08:54,821 - mmdet - INFO - Epoch [2][2400/7390] lr: 2.000e-02, eta: 7:16:40, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0239, loss_cls: 3.1357, loss_bbox: 1.6537, loss: 4.8681 +2022-09-02 00:09:11,975 - mmdet - INFO - Epoch [2][2450/7390] lr: 2.000e-02, eta: 7:16:28, time: 0.343, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0247, loss_cls: 3.1433, loss_bbox: 1.6568, loss: 4.8808 +2022-09-02 00:09:28,656 - mmdet - INFO - Epoch [2][2500/7390] lr: 2.000e-02, eta: 7:16:11, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0236, loss_cls: 3.1115, loss_bbox: 1.6462, loss: 4.8360 +2022-09-02 00:09:45,395 - mmdet - INFO - Epoch [2][2550/7390] lr: 2.000e-02, eta: 7:15:56, time: 0.335, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0239, loss_cls: 3.1244, loss_bbox: 1.6566, loss: 4.8595 +2022-09-02 00:10:01,956 - mmdet - INFO - Epoch [2][2600/7390] lr: 2.000e-02, eta: 7:15:39, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0239, loss_cls: 3.1053, loss_bbox: 1.6463, loss: 4.8305 +2022-09-02 00:10:18,749 - mmdet - INFO - Epoch [2][2650/7390] lr: 2.000e-02, eta: 7:15:24, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0245, loss_cls: 3.1222, loss_bbox: 1.6488, loss: 4.8503 +2022-09-02 00:10:35,568 - mmdet - INFO - Epoch [2][2700/7390] lr: 2.000e-02, eta: 7:15:09, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0241, loss_cls: 3.1434, loss_bbox: 1.6533, loss: 4.8752 +2022-09-02 00:10:52,121 - mmdet - INFO - Epoch [2][2750/7390] lr: 2.000e-02, eta: 7:14:52, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0565, loss_rpn_bbox: 0.0245, loss_cls: 3.1359, loss_bbox: 1.6482, loss: 4.8651 +2022-09-02 00:11:08,905 - mmdet - INFO - Epoch [2][2800/7390] lr: 2.000e-02, eta: 7:14:37, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0234, loss_cls: 3.0971, loss_bbox: 1.6662, loss: 4.8404 +2022-09-02 00:11:25,267 - mmdet - INFO - Epoch [2][2850/7390] lr: 2.000e-02, eta: 7:14:18, time: 0.327, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0239, loss_cls: 3.1189, loss_bbox: 1.6480, loss: 4.8466 +2022-09-02 00:11:42,258 - mmdet - INFO - Epoch [2][2900/7390] lr: 2.000e-02, eta: 7:14:05, time: 0.341, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0242, loss_cls: 3.1119, loss_bbox: 1.6457, loss: 4.8366 +2022-09-02 00:11:58,608 - mmdet - INFO - Epoch [2][2950/7390] lr: 2.000e-02, eta: 7:13:46, time: 0.327, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 3.1188, loss_bbox: 1.6366, loss: 4.8338 +2022-09-02 00:12:15,068 - mmdet - INFO - Epoch [2][3000/7390] lr: 2.000e-02, eta: 7:13:28, time: 0.329, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0236, loss_cls: 3.1117, loss_bbox: 1.6452, loss: 4.8336 +2022-09-02 00:12:31,449 - mmdet - INFO - Epoch [2][3050/7390] lr: 2.000e-02, eta: 7:13:10, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0236, loss_cls: 3.0934, loss_bbox: 1.6499, loss: 4.8219 +2022-09-02 00:12:48,054 - mmdet - INFO - Epoch [2][3100/7390] lr: 2.000e-02, eta: 7:12:53, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0237, loss_cls: 3.0978, loss_bbox: 1.6514, loss: 4.8278 +2022-09-02 00:13:04,852 - mmdet - INFO - Epoch [2][3150/7390] lr: 2.000e-02, eta: 7:12:38, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0241, loss_cls: 3.1102, loss_bbox: 1.6560, loss: 4.8453 +2022-09-02 00:13:21,486 - mmdet - INFO - Epoch [2][3200/7390] lr: 2.000e-02, eta: 7:12:21, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0243, loss_cls: 3.1092, loss_bbox: 1.6408, loss: 4.8293 +2022-09-02 00:13:38,354 - mmdet - INFO - Epoch [2][3250/7390] lr: 2.000e-02, eta: 7:12:07, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0246, loss_cls: 3.1229, loss_bbox: 1.6546, loss: 4.8580 +2022-09-02 00:13:55,198 - mmdet - INFO - Epoch [2][3300/7390] lr: 2.000e-02, eta: 7:11:52, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0239, loss_cls: 3.1108, loss_bbox: 1.6395, loss: 4.8294 +2022-09-02 00:14:11,802 - mmdet - INFO - Epoch [2][3350/7390] lr: 2.000e-02, eta: 7:11:35, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0235, loss_cls: 3.1031, loss_bbox: 1.6409, loss: 4.8211 +2022-09-02 00:14:29,124 - mmdet - INFO - Epoch [2][3400/7390] lr: 2.000e-02, eta: 7:11:24, time: 0.347, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0243, loss_cls: 3.1016, loss_bbox: 1.6417, loss: 4.8245 +2022-09-02 00:14:46,483 - mmdet - INFO - Epoch [2][3450/7390] lr: 2.000e-02, eta: 7:11:12, time: 0.347, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0247, loss_cls: 3.1083, loss_bbox: 1.6387, loss: 4.8272 +2022-09-02 00:15:02,907 - mmdet - INFO - Epoch [2][3500/7390] lr: 2.000e-02, eta: 7:10:54, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0235, loss_cls: 3.1036, loss_bbox: 1.6498, loss: 4.8319 +2022-09-02 00:15:19,175 - mmdet - INFO - Epoch [2][3550/7390] lr: 2.000e-02, eta: 7:10:35, time: 0.326, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0237, loss_cls: 3.1046, loss_bbox: 1.6445, loss: 4.8267 +2022-09-02 00:15:35,977 - mmdet - INFO - Epoch [2][3600/7390] lr: 2.000e-02, eta: 7:10:20, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0235, loss_cls: 3.1024, loss_bbox: 1.6330, loss: 4.8133 +2022-09-02 00:15:52,805 - mmdet - INFO - Epoch [2][3650/7390] lr: 2.000e-02, eta: 7:10:05, time: 0.338, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0241, loss_cls: 3.1157, loss_bbox: 1.6374, loss: 4.8321 +2022-09-02 00:16:09,905 - mmdet - INFO - Epoch [2][3700/7390] lr: 2.000e-02, eta: 7:09:52, time: 0.342, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0238, loss_cls: 3.1097, loss_bbox: 1.6370, loss: 4.8246 +2022-09-02 00:16:26,879 - mmdet - INFO - Epoch [2][3750/7390] lr: 2.000e-02, eta: 7:09:37, time: 0.339, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0559, loss_rpn_bbox: 0.0244, loss_cls: 3.1040, loss_bbox: 1.6332, loss: 4.8175 +2022-09-02 00:16:43,585 - mmdet - INFO - Epoch [2][3800/7390] lr: 2.000e-02, eta: 7:09:21, time: 0.334, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0238, loss_cls: 3.0771, loss_bbox: 1.6475, loss: 4.8031 +2022-09-02 00:17:00,244 - mmdet - INFO - Epoch [2][3850/7390] lr: 2.000e-02, eta: 7:09:05, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0238, loss_cls: 3.0952, loss_bbox: 1.6407, loss: 4.8142 +2022-09-02 00:17:17,071 - mmdet - INFO - Epoch [2][3900/7390] lr: 2.000e-02, eta: 7:08:50, time: 0.337, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0236, loss_cls: 3.0742, loss_bbox: 1.6413, loss: 4.7930 +2022-09-02 00:17:33,154 - mmdet - INFO - Epoch [2][3950/7390] lr: 2.000e-02, eta: 7:08:29, time: 0.321, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0238, loss_cls: 3.0906, loss_bbox: 1.6465, loss: 4.8147 +2022-09-02 00:17:50,134 - mmdet - INFO - Epoch [2][4000/7390] lr: 2.000e-02, eta: 7:08:15, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0238, loss_cls: 3.0902, loss_bbox: 1.6421, loss: 4.8094 +2022-09-02 00:18:06,894 - mmdet - INFO - Epoch [2][4050/7390] lr: 2.000e-02, eta: 7:08:00, time: 0.335, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0241, loss_cls: 3.1089, loss_bbox: 1.6357, loss: 4.8238 +2022-09-02 00:18:23,852 - mmdet - INFO - Epoch [2][4100/7390] lr: 2.000e-02, eta: 7:07:45, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0245, loss_cls: 3.1013, loss_bbox: 1.6463, loss: 4.8276 +2022-09-02 00:18:40,222 - mmdet - INFO - Epoch [2][4150/7390] lr: 2.000e-02, eta: 7:07:27, time: 0.327, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0237, loss_cls: 3.0668, loss_bbox: 1.6332, loss: 4.7781 +2022-09-02 00:18:57,027 - mmdet - INFO - Epoch [2][4200/7390] lr: 2.000e-02, eta: 7:07:11, time: 0.337, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0238, loss_cls: 3.0957, loss_bbox: 1.6420, loss: 4.8150 +2022-09-02 00:19:13,240 - mmdet - INFO - Epoch [2][4250/7390] lr: 2.000e-02, eta: 7:06:52, time: 0.324, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0234, loss_cls: 3.0658, loss_bbox: 1.6314, loss: 4.7737 +2022-09-02 00:19:29,949 - mmdet - INFO - Epoch [2][4300/7390] lr: 2.000e-02, eta: 7:06:36, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0233, loss_cls: 3.0617, loss_bbox: 1.6436, loss: 4.7830 +2022-09-02 00:19:46,954 - mmdet - INFO - Epoch [2][4350/7390] lr: 2.000e-02, eta: 7:06:22, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0243, loss_cls: 3.1091, loss_bbox: 1.6382, loss: 4.8265 +2022-09-02 00:20:03,660 - mmdet - INFO - Epoch [2][4400/7390] lr: 2.000e-02, eta: 7:06:06, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0561, loss_rpn_bbox: 0.0249, loss_cls: 3.0995, loss_bbox: 1.6301, loss: 4.8106 +2022-09-02 00:20:19,920 - mmdet - INFO - Epoch [2][4450/7390] lr: 2.000e-02, eta: 7:05:47, time: 0.325, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0235, loss_cls: 3.0776, loss_bbox: 1.6403, loss: 4.7954 +2022-09-02 00:20:36,998 - mmdet - INFO - Epoch [2][4500/7390] lr: 2.000e-02, eta: 7:05:33, time: 0.342, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0247, loss_cls: 3.0997, loss_bbox: 1.6388, loss: 4.8177 +2022-09-02 00:20:53,729 - mmdet - INFO - Epoch [2][4550/7390] lr: 2.000e-02, eta: 7:05:17, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0242, loss_cls: 3.0807, loss_bbox: 1.6350, loss: 4.7952 +2022-09-02 00:21:10,443 - mmdet - INFO - Epoch [2][4600/7390] lr: 2.000e-02, eta: 7:05:01, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0238, loss_cls: 3.0784, loss_bbox: 1.6452, loss: 4.8019 +2022-09-02 00:21:27,368 - mmdet - INFO - Epoch [2][4650/7390] lr: 2.000e-02, eta: 7:04:46, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0243, loss_cls: 3.0789, loss_bbox: 1.6379, loss: 4.7958 +2022-09-02 00:21:43,929 - mmdet - INFO - Epoch [2][4700/7390] lr: 2.000e-02, eta: 7:04:29, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0237, loss_cls: 3.0703, loss_bbox: 1.6323, loss: 4.7805 +2022-09-02 00:22:00,915 - mmdet - INFO - Epoch [2][4750/7390] lr: 2.000e-02, eta: 7:04:15, time: 0.340, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0243, loss_cls: 3.1041, loss_bbox: 1.6343, loss: 4.8175 +2022-09-02 00:22:17,353 - mmdet - INFO - Epoch [2][4800/7390] lr: 2.000e-02, eta: 7:03:57, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0244, loss_cls: 3.0997, loss_bbox: 1.6294, loss: 4.8089 +2022-09-02 00:22:34,449 - mmdet - INFO - Epoch [2][4850/7390] lr: 2.000e-02, eta: 7:03:43, time: 0.342, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0236, loss_cls: 3.0602, loss_bbox: 1.6340, loss: 4.7717 +2022-09-02 00:22:51,167 - mmdet - INFO - Epoch [2][4900/7390] lr: 2.000e-02, eta: 7:03:27, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0237, loss_cls: 3.0791, loss_bbox: 1.6345, loss: 4.7914 +2022-09-02 00:23:08,443 - mmdet - INFO - Epoch [2][4950/7390] lr: 2.000e-02, eta: 7:03:15, time: 0.345, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0246, loss_cls: 3.1105, loss_bbox: 1.6369, loss: 4.8277 +2022-09-02 00:23:24,939 - mmdet - INFO - Epoch [2][5000/7390] lr: 2.000e-02, eta: 7:02:57, time: 0.330, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0237, loss_cls: 3.0721, loss_bbox: 1.6251, loss: 4.7747 +2022-09-02 00:23:41,776 - mmdet - INFO - Epoch [2][5050/7390] lr: 2.000e-02, eta: 7:02:42, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0245, loss_cls: 3.0961, loss_bbox: 1.6352, loss: 4.8106 +2022-09-02 00:23:58,350 - mmdet - INFO - Epoch [2][5100/7390] lr: 2.000e-02, eta: 7:02:25, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0239, loss_cls: 3.0726, loss_bbox: 1.6381, loss: 4.7885 +2022-09-02 00:24:14,931 - mmdet - INFO - Epoch [2][5150/7390] lr: 2.000e-02, eta: 7:02:08, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0232, loss_cls: 3.0615, loss_bbox: 1.6397, loss: 4.7773 +2022-09-02 00:24:31,644 - mmdet - INFO - Epoch [2][5200/7390] lr: 2.000e-02, eta: 7:01:52, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0243, loss_cls: 3.0731, loss_bbox: 1.6288, loss: 4.7809 +2022-09-02 00:24:48,113 - mmdet - INFO - Epoch [2][5250/7390] lr: 2.000e-02, eta: 7:01:34, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0237, loss_cls: 3.0668, loss_bbox: 1.6301, loss: 4.7753 +2022-09-02 00:25:05,160 - mmdet - INFO - Epoch [2][5300/7390] lr: 2.000e-02, eta: 7:01:20, time: 0.341, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0242, loss_cls: 3.0840, loss_bbox: 1.6419, loss: 4.8037 +2022-09-02 00:25:21,842 - mmdet - INFO - Epoch [2][5350/7390] lr: 2.000e-02, eta: 7:01:04, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0242, loss_cls: 3.0556, loss_bbox: 1.6324, loss: 4.7666 +2022-09-02 00:25:38,461 - mmdet - INFO - Epoch [2][5400/7390] lr: 2.000e-02, eta: 7:00:47, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0242, loss_cls: 3.0846, loss_bbox: 1.6353, loss: 4.7995 +2022-09-02 00:25:54,989 - mmdet - INFO - Epoch [2][5450/7390] lr: 2.000e-02, eta: 7:00:30, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0236, loss_cls: 3.0735, loss_bbox: 1.6251, loss: 4.7752 +2022-09-02 00:26:11,719 - mmdet - INFO - Epoch [2][5500/7390] lr: 2.000e-02, eta: 7:00:14, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0244, loss_cls: 3.0781, loss_bbox: 1.6355, loss: 4.7927 +2022-09-02 00:26:28,920 - mmdet - INFO - Epoch [2][5550/7390] lr: 2.000e-02, eta: 7:00:00, time: 0.344, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0245, loss_cls: 3.0795, loss_bbox: 1.6303, loss: 4.7888 +2022-09-02 00:26:45,203 - mmdet - INFO - Epoch [2][5600/7390] lr: 2.000e-02, eta: 6:59:42, time: 0.326, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0232, loss_cls: 3.0608, loss_bbox: 1.6349, loss: 4.7720 +2022-09-02 00:27:01,938 - mmdet - INFO - Epoch [2][5650/7390] lr: 2.000e-02, eta: 6:59:25, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0551, loss_rpn_bbox: 0.0243, loss_cls: 3.0427, loss_bbox: 1.6296, loss: 4.7518 +2022-09-02 00:27:18,887 - mmdet - INFO - Epoch [2][5700/7390] lr: 2.000e-02, eta: 6:59:11, time: 0.339, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0241, loss_cls: 3.0762, loss_bbox: 1.6328, loss: 4.7870 +2022-09-02 00:27:35,121 - mmdet - INFO - Epoch [2][5750/7390] lr: 2.000e-02, eta: 6:58:52, time: 0.325, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0236, loss_cls: 3.0377, loss_bbox: 1.6386, loss: 4.7538 +2022-09-02 00:27:51,660 - mmdet - INFO - Epoch [2][5800/7390] lr: 2.000e-02, eta: 6:58:35, time: 0.331, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0241, loss_cls: 3.0673, loss_bbox: 1.6338, loss: 4.7799 +2022-09-02 00:28:08,215 - mmdet - INFO - Epoch [2][5850/7390] lr: 2.000e-02, eta: 6:58:17, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0238, loss_cls: 3.0545, loss_bbox: 1.6206, loss: 4.7535 +2022-09-02 00:28:24,607 - mmdet - INFO - Epoch [2][5900/7390] lr: 2.000e-02, eta: 6:57:59, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0235, loss_cls: 3.0722, loss_bbox: 1.6204, loss: 4.7690 +2022-09-02 00:28:41,921 - mmdet - INFO - Epoch [2][5950/7390] lr: 2.000e-02, eta: 6:57:46, time: 0.346, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0241, loss_cls: 3.0626, loss_bbox: 1.6302, loss: 4.7712 +2022-09-02 00:28:58,641 - mmdet - INFO - Epoch [2][6000/7390] lr: 2.000e-02, eta: 6:57:30, time: 0.335, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0239, loss_cls: 3.0575, loss_bbox: 1.6286, loss: 4.7642 +2022-09-02 00:29:15,036 - mmdet - INFO - Epoch [2][6050/7390] lr: 2.000e-02, eta: 6:57:12, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0236, loss_cls: 3.0618, loss_bbox: 1.6240, loss: 4.7631 +2022-09-02 00:29:31,746 - mmdet - INFO - Epoch [2][6100/7390] lr: 2.000e-02, eta: 6:56:56, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0240, loss_cls: 3.0740, loss_bbox: 1.6297, loss: 4.7825 +2022-09-02 00:29:49,139 - mmdet - INFO - Epoch [2][6150/7390] lr: 2.000e-02, eta: 6:56:44, time: 0.348, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0251, loss_cls: 3.0708, loss_bbox: 1.6222, loss: 4.7739 +2022-09-02 00:30:06,259 - mmdet - INFO - Epoch [2][6200/7390] lr: 2.000e-02, eta: 6:56:30, time: 0.342, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0239, loss_cls: 3.0713, loss_bbox: 1.6254, loss: 4.7745 +2022-09-02 00:30:23,100 - mmdet - INFO - Epoch [2][6250/7390] lr: 2.000e-02, eta: 6:56:14, time: 0.337, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0245, loss_cls: 3.0630, loss_bbox: 1.6194, loss: 4.7623 +2022-09-02 00:30:39,872 - mmdet - INFO - Epoch [2][6300/7390] lr: 2.000e-02, eta: 6:55:58, time: 0.335, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0241, loss_cls: 3.0752, loss_bbox: 1.6278, loss: 4.7815 +2022-09-02 00:30:56,509 - mmdet - INFO - Epoch [2][6350/7390] lr: 2.000e-02, eta: 6:55:42, time: 0.332, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0237, loss_cls: 3.0751, loss_bbox: 1.6220, loss: 4.7749 +2022-09-02 00:31:13,297 - mmdet - INFO - Epoch [2][6400/7390] lr: 2.000e-02, eta: 6:55:26, time: 0.337, data_time: 0.011, memory: 3935, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0245, loss_cls: 3.0697, loss_bbox: 1.6368, loss: 4.7854 +2022-09-02 00:31:30,179 - mmdet - INFO - Epoch [2][6450/7390] lr: 2.000e-02, eta: 6:55:11, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0240, loss_cls: 3.0501, loss_bbox: 1.6229, loss: 4.7514 +2022-09-02 00:31:46,802 - mmdet - INFO - Epoch [2][6500/7390] lr: 2.000e-02, eta: 6:54:54, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0239, loss_cls: 3.0567, loss_bbox: 1.6236, loss: 4.7588 +2022-09-02 00:32:03,974 - mmdet - INFO - Epoch [2][6550/7390] lr: 2.000e-02, eta: 6:54:40, time: 0.344, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0237, loss_cls: 3.0408, loss_bbox: 1.6312, loss: 4.7490 +2022-09-02 00:32:20,413 - mmdet - INFO - Epoch [2][6600/7390] lr: 2.000e-02, eta: 6:54:22, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0243, loss_cls: 3.0830, loss_bbox: 1.6253, loss: 4.7874 +2022-09-02 00:32:37,514 - mmdet - INFO - Epoch [2][6650/7390] lr: 2.000e-02, eta: 6:54:08, time: 0.342, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0237, loss_cls: 3.0548, loss_bbox: 1.6199, loss: 4.7517 +2022-09-02 00:32:53,844 - mmdet - INFO - Epoch [2][6700/7390] lr: 2.000e-02, eta: 6:53:50, time: 0.326, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0235, loss_cls: 3.0402, loss_bbox: 1.6284, loss: 4.7453 +2022-09-02 00:33:10,836 - mmdet - INFO - Epoch [2][6750/7390] lr: 2.000e-02, eta: 6:53:35, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0247, loss_cls: 3.0584, loss_bbox: 1.6136, loss: 4.7522 +2022-09-02 00:33:27,235 - mmdet - INFO - Epoch [2][6800/7390] lr: 2.000e-02, eta: 6:53:17, time: 0.327, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0233, loss_cls: 3.0523, loss_bbox: 1.6377, loss: 4.7666 +2022-09-02 00:33:43,991 - mmdet - INFO - Epoch [2][6850/7390] lr: 2.000e-02, eta: 6:53:01, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0238, loss_cls: 3.0501, loss_bbox: 1.6200, loss: 4.7477 +2022-09-02 00:34:00,584 - mmdet - INFO - Epoch [2][6900/7390] lr: 2.000e-02, eta: 6:52:44, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0233, loss_cls: 3.0324, loss_bbox: 1.6224, loss: 4.7314 +2022-09-02 00:34:16,815 - mmdet - INFO - Epoch [2][6950/7390] lr: 2.000e-02, eta: 6:52:25, time: 0.325, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0230, loss_cls: 3.0479, loss_bbox: 1.6233, loss: 4.7468 +2022-09-02 00:34:33,686 - mmdet - INFO - Epoch [2][7000/7390] lr: 2.000e-02, eta: 6:52:10, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0236, loss_cls: 3.0625, loss_bbox: 1.6135, loss: 4.7525 +2022-09-02 00:34:50,198 - mmdet - INFO - Epoch [2][7050/7390] lr: 2.000e-02, eta: 6:51:52, time: 0.330, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0238, loss_cls: 3.0537, loss_bbox: 1.6350, loss: 4.7661 +2022-09-02 00:35:07,145 - mmdet - INFO - Epoch [2][7100/7390] lr: 2.000e-02, eta: 6:51:37, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0240, loss_cls: 3.0681, loss_bbox: 1.6361, loss: 4.7820 +2022-09-02 00:35:23,586 - mmdet - INFO - Epoch [2][7150/7390] lr: 2.000e-02, eta: 6:51:20, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0226, loss_cls: 3.0158, loss_bbox: 1.6286, loss: 4.7194 +2022-09-02 00:35:40,313 - mmdet - INFO - Epoch [2][7200/7390] lr: 2.000e-02, eta: 6:51:03, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0235, loss_cls: 3.0464, loss_bbox: 1.6203, loss: 4.7434 +2022-09-02 00:35:57,512 - mmdet - INFO - Epoch [2][7250/7390] lr: 2.000e-02, eta: 6:50:49, time: 0.344, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0247, loss_cls: 3.0520, loss_bbox: 1.6173, loss: 4.7493 +2022-09-02 00:36:14,304 - mmdet - INFO - Epoch [2][7300/7390] lr: 2.000e-02, eta: 6:50:34, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0237, loss_cls: 3.0261, loss_bbox: 1.6126, loss: 4.7166 +2022-09-02 00:36:31,122 - mmdet - INFO - Epoch [2][7350/7390] lr: 2.000e-02, eta: 6:50:18, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0237, loss_cls: 3.0513, loss_bbox: 1.6220, loss: 4.7509 +2022-09-02 00:36:44,721 - mmdet - INFO - Saving checkpoint at 2 epochs +2022-09-02 00:37:05,603 - mmdet - INFO - Epoch [3][50/7390] lr: 2.000e-02, eta: 6:48:56, time: 0.389, data_time: 0.071, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0234, loss_cls: 3.0340, loss_bbox: 1.6144, loss: 4.7250 +2022-09-02 00:37:22,473 - mmdet - INFO - Epoch [3][100/7390] lr: 2.000e-02, eta: 6:48:40, time: 0.337, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0233, loss_cls: 3.0210, loss_bbox: 1.6209, loss: 4.7183 +2022-09-02 00:37:39,407 - mmdet - INFO - Epoch [3][150/7390] lr: 2.000e-02, eta: 6:48:25, time: 0.339, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0246, loss_cls: 3.0479, loss_bbox: 1.6199, loss: 4.7465 +2022-09-02 00:37:56,422 - mmdet - INFO - Epoch [3][200/7390] lr: 2.000e-02, eta: 6:48:11, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0237, loss_cls: 3.0387, loss_bbox: 1.6165, loss: 4.7329 +2022-09-02 00:38:12,966 - mmdet - INFO - Epoch [3][250/7390] lr: 2.000e-02, eta: 6:47:54, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0232, loss_cls: 3.0258, loss_bbox: 1.6209, loss: 4.7226 +2022-09-02 00:38:29,417 - mmdet - INFO - Epoch [3][300/7390] lr: 2.000e-02, eta: 6:47:37, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0237, loss_cls: 3.0303, loss_bbox: 1.6160, loss: 4.7232 +2022-09-02 00:38:46,043 - mmdet - INFO - Epoch [3][350/7390] lr: 2.000e-02, eta: 6:47:20, time: 0.332, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0230, loss_cls: 3.0220, loss_bbox: 1.6149, loss: 4.7119 +2022-09-02 00:39:03,346 - mmdet - INFO - Epoch [3][400/7390] lr: 2.000e-02, eta: 6:47:06, time: 0.346, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0240, loss_cls: 3.0278, loss_bbox: 1.6283, loss: 4.7333 +2022-09-02 00:39:20,519 - mmdet - INFO - Epoch [3][450/7390] lr: 2.000e-02, eta: 6:46:53, time: 0.344, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0244, loss_cls: 3.0471, loss_bbox: 1.6121, loss: 4.7384 +2022-09-02 00:39:37,263 - mmdet - INFO - Epoch [3][500/7390] lr: 2.000e-02, eta: 6:46:37, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0244, loss_cls: 3.0358, loss_bbox: 1.6256, loss: 4.7411 +2022-09-02 00:39:54,274 - mmdet - INFO - Epoch [3][550/7390] lr: 2.000e-02, eta: 6:46:22, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0238, loss_cls: 3.0305, loss_bbox: 1.6165, loss: 4.7244 +2022-09-02 00:40:11,122 - mmdet - INFO - Epoch [3][600/7390] lr: 2.000e-02, eta: 6:46:06, time: 0.338, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0232, loss_cls: 3.0270, loss_bbox: 1.6256, loss: 4.7291 +2022-09-02 00:40:27,703 - mmdet - INFO - Epoch [3][650/7390] lr: 2.000e-02, eta: 6:45:50, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0232, loss_cls: 3.0386, loss_bbox: 1.6156, loss: 4.7291 +2022-09-02 00:40:44,190 - mmdet - INFO - Epoch [3][700/7390] lr: 2.000e-02, eta: 6:45:32, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0235, loss_cls: 3.0233, loss_bbox: 1.6121, loss: 4.7113 +2022-09-02 00:41:00,800 - mmdet - INFO - Epoch [3][750/7390] lr: 2.000e-02, eta: 6:45:15, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0236, loss_cls: 3.0362, loss_bbox: 1.6220, loss: 4.7351 +2022-09-02 00:41:17,261 - mmdet - INFO - Epoch [3][800/7390] lr: 2.000e-02, eta: 6:44:58, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0236, loss_cls: 3.0236, loss_bbox: 1.6130, loss: 4.7136 +2022-09-02 00:41:33,693 - mmdet - INFO - Epoch [3][850/7390] lr: 2.000e-02, eta: 6:44:41, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0237, loss_cls: 3.0132, loss_bbox: 1.6092, loss: 4.6998 +2022-09-02 00:41:50,402 - mmdet - INFO - Epoch [3][900/7390] lr: 2.000e-02, eta: 6:44:24, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0233, loss_cls: 3.0351, loss_bbox: 1.6116, loss: 4.7230 +2022-09-02 00:42:07,145 - mmdet - INFO - Epoch [3][950/7390] lr: 2.000e-02, eta: 6:44:08, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0242, loss_cls: 3.0440, loss_bbox: 1.6124, loss: 4.7345 +2022-09-02 00:42:23,580 - mmdet - INFO - Epoch [3][1000/7390] lr: 2.000e-02, eta: 6:43:51, time: 0.329, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0232, loss_cls: 3.0147, loss_bbox: 1.6195, loss: 4.7098 +2022-09-02 00:42:40,670 - mmdet - INFO - Epoch [3][1050/7390] lr: 2.000e-02, eta: 6:43:36, time: 0.341, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0244, loss_cls: 3.0352, loss_bbox: 1.6226, loss: 4.7370 +2022-09-02 00:42:57,036 - mmdet - INFO - Epoch [3][1100/7390] lr: 2.000e-02, eta: 6:43:19, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0233, loss_cls: 3.0267, loss_bbox: 1.6203, loss: 4.7234 +2022-09-02 00:43:14,005 - mmdet - INFO - Epoch [3][1150/7390] lr: 2.000e-02, eta: 6:43:04, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0235, loss_cls: 3.0202, loss_bbox: 1.6234, loss: 4.7202 +2022-09-02 00:43:30,871 - mmdet - INFO - Epoch [3][1200/7390] lr: 2.000e-02, eta: 6:42:48, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0237, loss_cls: 3.0303, loss_bbox: 1.6161, loss: 4.7241 +2022-09-02 00:43:47,838 - mmdet - INFO - Epoch [3][1250/7390] lr: 2.000e-02, eta: 6:42:33, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0239, loss_cls: 3.0444, loss_bbox: 1.6020, loss: 4.7245 +2022-09-02 00:44:04,381 - mmdet - INFO - Epoch [3][1300/7390] lr: 2.000e-02, eta: 6:42:16, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0235, loss_cls: 3.0205, loss_bbox: 1.6125, loss: 4.7098 +2022-09-02 00:44:20,824 - mmdet - INFO - Epoch [3][1350/7390] lr: 2.000e-02, eta: 6:41:59, time: 0.329, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0239, loss_cls: 3.0182, loss_bbox: 1.6079, loss: 4.7039 +2022-09-02 00:44:37,549 - mmdet - INFO - Epoch [3][1400/7390] lr: 2.000e-02, eta: 6:41:43, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0236, loss_cls: 3.0331, loss_bbox: 1.6019, loss: 4.7123 +2022-09-02 00:44:54,329 - mmdet - INFO - Epoch [3][1450/7390] lr: 2.000e-02, eta: 6:41:27, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0229, loss_cls: 3.0123, loss_bbox: 1.6301, loss: 4.7181 +2022-09-02 00:45:11,591 - mmdet - INFO - Epoch [3][1500/7390] lr: 2.000e-02, eta: 6:41:13, time: 0.345, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0241, loss_cls: 3.0352, loss_bbox: 1.6110, loss: 4.7241 +2022-09-02 00:45:28,162 - mmdet - INFO - Epoch [3][1550/7390] lr: 2.000e-02, eta: 6:40:56, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0229, loss_cls: 3.0073, loss_bbox: 1.6093, loss: 4.6923 +2022-09-02 00:45:45,102 - mmdet - INFO - Epoch [3][1600/7390] lr: 2.000e-02, eta: 6:40:41, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0241, loss_cls: 3.0505, loss_bbox: 1.6163, loss: 4.7445 +2022-09-02 00:46:01,739 - mmdet - INFO - Epoch [3][1650/7390] lr: 2.000e-02, eta: 6:40:24, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0235, loss_cls: 3.0206, loss_bbox: 1.6185, loss: 4.7158 +2022-09-02 00:46:19,096 - mmdet - INFO - Epoch [3][1700/7390] lr: 2.000e-02, eta: 6:40:11, time: 0.347, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0240, loss_cls: 3.0306, loss_bbox: 1.6157, loss: 4.7240 +2022-09-02 00:46:36,031 - mmdet - INFO - Epoch [3][1750/7390] lr: 2.000e-02, eta: 6:39:55, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0243, loss_cls: 3.0323, loss_bbox: 1.6200, loss: 4.7301 +2022-09-02 00:46:52,633 - mmdet - INFO - Epoch [3][1800/7390] lr: 2.000e-02, eta: 6:39:39, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0234, loss_cls: 3.0083, loss_bbox: 1.6199, loss: 4.7039 +2022-09-02 00:47:09,368 - mmdet - INFO - Epoch [3][1850/7390] lr: 2.000e-02, eta: 6:39:23, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0234, loss_cls: 3.0259, loss_bbox: 1.6092, loss: 4.7116 +2022-09-02 00:47:25,479 - mmdet - INFO - Epoch [3][1900/7390] lr: 2.000e-02, eta: 6:39:04, time: 0.322, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0229, loss_cls: 3.0214, loss_bbox: 1.6104, loss: 4.7075 +2022-09-02 00:47:41,475 - mmdet - INFO - Epoch [3][1950/7390] lr: 2.000e-02, eta: 6:38:44, time: 0.320, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0235, loss_cls: 3.0395, loss_bbox: 1.6201, loss: 4.7359 +2022-09-02 00:47:58,263 - mmdet - INFO - Epoch [3][2000/7390] lr: 2.000e-02, eta: 6:38:28, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0242, loss_cls: 3.0369, loss_bbox: 1.6128, loss: 4.7283 +2022-09-02 00:48:15,379 - mmdet - INFO - Epoch [3][2050/7390] lr: 2.000e-02, eta: 6:38:14, time: 0.343, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0233, loss_cls: 3.0366, loss_bbox: 1.6200, loss: 4.7321 +2022-09-02 00:48:31,928 - mmdet - INFO - Epoch [3][2100/7390] lr: 2.000e-02, eta: 6:37:57, time: 0.330, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0233, loss_cls: 3.0143, loss_bbox: 1.6132, loss: 4.7035 +2022-09-02 00:48:48,935 - mmdet - INFO - Epoch [3][2150/7390] lr: 2.000e-02, eta: 6:37:42, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0237, loss_cls: 3.0253, loss_bbox: 1.6154, loss: 4.7176 +2022-09-02 00:49:05,822 - mmdet - INFO - Epoch [3][2200/7390] lr: 2.000e-02, eta: 6:37:26, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0240, loss_cls: 3.0407, loss_bbox: 1.6161, loss: 4.7358 +2022-09-02 00:49:22,635 - mmdet - INFO - Epoch [3][2250/7390] lr: 2.000e-02, eta: 6:37:10, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0237, loss_cls: 3.0227, loss_bbox: 1.6058, loss: 4.7055 +2022-09-02 00:49:39,436 - mmdet - INFO - Epoch [3][2300/7390] lr: 2.000e-02, eta: 6:36:54, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0235, loss_cls: 3.0400, loss_bbox: 1.6029, loss: 4.7196 +2022-09-02 00:49:56,300 - mmdet - INFO - Epoch [3][2350/7390] lr: 2.000e-02, eta: 6:36:39, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0237, loss_cls: 3.0274, loss_bbox: 1.6146, loss: 4.7197 +2022-09-02 00:50:12,946 - mmdet - INFO - Epoch [3][2400/7390] lr: 2.000e-02, eta: 6:36:22, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0231, loss_cls: 3.0168, loss_bbox: 1.6121, loss: 4.7041 +2022-09-02 00:50:29,011 - mmdet - INFO - Epoch [3][2450/7390] lr: 2.000e-02, eta: 6:36:03, time: 0.321, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0232, loss_cls: 3.0136, loss_bbox: 1.6118, loss: 4.7007 +2022-09-02 00:50:46,119 - mmdet - INFO - Epoch [3][2500/7390] lr: 2.000e-02, eta: 6:35:49, time: 0.343, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0243, loss_cls: 3.0379, loss_bbox: 1.6104, loss: 4.7267 +2022-09-02 00:51:02,739 - mmdet - INFO - Epoch [3][2550/7390] lr: 2.000e-02, eta: 6:35:32, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0241, loss_cls: 3.0380, loss_bbox: 1.6240, loss: 4.7396 +2022-09-02 00:51:19,760 - mmdet - INFO - Epoch [3][2600/7390] lr: 2.000e-02, eta: 6:35:17, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.9940, loss_bbox: 1.6047, loss: 4.6739 +2022-09-02 00:51:36,675 - mmdet - INFO - Epoch [3][2650/7390] lr: 2.000e-02, eta: 6:35:01, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0237, loss_cls: 3.0255, loss_bbox: 1.6140, loss: 4.7163 +2022-09-02 00:51:53,693 - mmdet - INFO - Epoch [3][2700/7390] lr: 2.000e-02, eta: 6:34:46, time: 0.340, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0239, loss_cls: 3.0291, loss_bbox: 1.6137, loss: 4.7200 +2022-09-02 00:52:10,819 - mmdet - INFO - Epoch [3][2750/7390] lr: 2.000e-02, eta: 6:34:32, time: 0.342, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0247, loss_cls: 3.0411, loss_bbox: 1.6028, loss: 4.7232 +2022-09-02 00:52:27,090 - mmdet - INFO - Epoch [3][2800/7390] lr: 2.000e-02, eta: 6:34:14, time: 0.325, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0234, loss_cls: 2.9995, loss_bbox: 1.6141, loss: 4.6902 +2022-09-02 00:52:43,356 - mmdet - INFO - Epoch [3][2850/7390] lr: 2.000e-02, eta: 6:33:56, time: 0.326, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0237, loss_cls: 3.0342, loss_bbox: 1.6014, loss: 4.7122 +2022-09-02 00:53:00,010 - mmdet - INFO - Epoch [3][2900/7390] lr: 2.000e-02, eta: 6:33:39, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0232, loss_cls: 2.9947, loss_bbox: 1.6100, loss: 4.6805 +2022-09-02 00:53:16,572 - mmdet - INFO - Epoch [3][2950/7390] lr: 2.000e-02, eta: 6:33:22, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0235, loss_cls: 3.0074, loss_bbox: 1.6133, loss: 4.6976 +2022-09-02 00:53:33,301 - mmdet - INFO - Epoch [3][3000/7390] lr: 2.000e-02, eta: 6:33:06, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0239, loss_cls: 3.0344, loss_bbox: 1.6096, loss: 4.7213 +2022-09-02 00:53:50,225 - mmdet - INFO - Epoch [3][3050/7390] lr: 2.000e-02, eta: 6:32:50, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0233, loss_cls: 3.0055, loss_bbox: 1.6061, loss: 4.6879 +2022-09-02 00:54:07,155 - mmdet - INFO - Epoch [3][3100/7390] lr: 2.000e-02, eta: 6:32:35, time: 0.338, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0235, loss_cls: 3.0227, loss_bbox: 1.6112, loss: 4.7100 +2022-09-02 00:54:24,198 - mmdet - INFO - Epoch [3][3150/7390] lr: 2.000e-02, eta: 6:32:20, time: 0.341, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0243, loss_cls: 3.0095, loss_bbox: 1.6055, loss: 4.6936 +2022-09-02 00:54:40,988 - mmdet - INFO - Epoch [3][3200/7390] lr: 2.000e-02, eta: 6:32:04, time: 0.335, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0240, loss_cls: 3.0208, loss_bbox: 1.6051, loss: 4.7044 +2022-09-02 00:54:57,600 - mmdet - INFO - Epoch [3][3250/7390] lr: 2.000e-02, eta: 6:31:47, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0238, loss_cls: 3.0233, loss_bbox: 1.6122, loss: 4.7133 +2022-09-02 00:55:14,165 - mmdet - INFO - Epoch [3][3300/7390] lr: 2.000e-02, eta: 6:31:30, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0236, loss_cls: 3.0105, loss_bbox: 1.6016, loss: 4.6889 +2022-09-02 00:55:31,507 - mmdet - INFO - Epoch [3][3350/7390] lr: 2.000e-02, eta: 6:31:16, time: 0.348, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0237, loss_cls: 3.0243, loss_bbox: 1.6174, loss: 4.7191 +2022-09-02 00:55:48,224 - mmdet - INFO - Epoch [3][3400/7390] lr: 2.000e-02, eta: 6:31:00, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0238, loss_cls: 3.0084, loss_bbox: 1.6169, loss: 4.7026 +2022-09-02 00:56:04,896 - mmdet - INFO - Epoch [3][3450/7390] lr: 2.000e-02, eta: 6:30:43, time: 0.333, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0233, loss_cls: 3.0050, loss_bbox: 1.6063, loss: 4.6877 +2022-09-02 00:56:21,522 - mmdet - INFO - Epoch [3][3500/7390] lr: 2.000e-02, eta: 6:30:27, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0235, loss_cls: 3.0199, loss_bbox: 1.6119, loss: 4.7087 +2022-09-02 00:56:37,930 - mmdet - INFO - Epoch [3][3550/7390] lr: 2.000e-02, eta: 6:30:09, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0235, loss_cls: 3.0135, loss_bbox: 1.6027, loss: 4.6920 +2022-09-02 00:56:54,620 - mmdet - INFO - Epoch [3][3600/7390] lr: 2.000e-02, eta: 6:29:53, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0238, loss_cls: 3.0155, loss_bbox: 1.6084, loss: 4.7013 +2022-09-02 00:57:11,433 - mmdet - INFO - Epoch [3][3650/7390] lr: 2.000e-02, eta: 6:29:37, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0235, loss_cls: 3.0073, loss_bbox: 1.6092, loss: 4.6925 +2022-09-02 00:57:27,964 - mmdet - INFO - Epoch [3][3700/7390] lr: 2.000e-02, eta: 6:29:20, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0238, loss_cls: 3.0209, loss_bbox: 1.6017, loss: 4.7001 +2022-09-02 00:57:44,812 - mmdet - INFO - Epoch [3][3750/7390] lr: 2.000e-02, eta: 6:29:04, time: 0.336, data_time: 0.008, memory: 3935, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0246, loss_cls: 3.0240, loss_bbox: 1.6039, loss: 4.7068 +2022-09-02 00:58:01,766 - mmdet - INFO - Epoch [3][3800/7390] lr: 2.000e-02, eta: 6:28:48, time: 0.339, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0244, loss_cls: 3.0094, loss_bbox: 1.6113, loss: 4.6997 +2022-09-02 00:58:18,549 - mmdet - INFO - Epoch [3][3850/7390] lr: 2.000e-02, eta: 6:28:32, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0234, loss_cls: 2.9973, loss_bbox: 1.5975, loss: 4.6710 +2022-09-02 00:58:35,197 - mmdet - INFO - Epoch [3][3900/7390] lr: 2.000e-02, eta: 6:28:16, time: 0.333, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0233, loss_cls: 3.0040, loss_bbox: 1.6105, loss: 4.6904 +2022-09-02 00:58:51,698 - mmdet - INFO - Epoch [3][3950/7390] lr: 2.000e-02, eta: 6:27:59, time: 0.331, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0228, loss_cls: 2.9833, loss_bbox: 1.6149, loss: 4.6728 +2022-09-02 00:59:08,311 - mmdet - INFO - Epoch [3][4000/7390] lr: 2.000e-02, eta: 6:27:42, time: 0.332, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0237, loss_cls: 3.0125, loss_bbox: 1.6085, loss: 4.6979 +2022-09-02 00:59:24,815 - mmdet - INFO - Epoch [3][4050/7390] lr: 2.000e-02, eta: 6:27:25, time: 0.330, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0229, loss_cls: 3.0124, loss_bbox: 1.6186, loss: 4.7059 +2022-09-02 00:59:41,663 - mmdet - INFO - Epoch [3][4100/7390] lr: 2.000e-02, eta: 6:27:09, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 3.0160, loss_bbox: 1.6037, loss: 4.6960 +2022-09-02 00:59:58,474 - mmdet - INFO - Epoch [3][4150/7390] lr: 2.000e-02, eta: 6:26:53, time: 0.337, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0232, loss_cls: 2.9912, loss_bbox: 1.6046, loss: 4.6712 +2022-09-02 01:00:15,712 - mmdet - INFO - Epoch [3][4200/7390] lr: 2.000e-02, eta: 6:26:38, time: 0.344, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0243, loss_cls: 3.0044, loss_bbox: 1.6057, loss: 4.6883 +2022-09-02 01:00:32,632 - mmdet - INFO - Epoch [3][4250/7390] lr: 2.000e-02, eta: 6:26:23, time: 0.338, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0237, loss_cls: 2.9871, loss_bbox: 1.6086, loss: 4.6723 +2022-09-02 01:00:49,745 - mmdet - INFO - Epoch [3][4300/7390] lr: 2.000e-02, eta: 6:26:08, time: 0.343, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0240, loss_cls: 3.0113, loss_bbox: 1.5975, loss: 4.6862 +2022-09-02 01:01:06,659 - mmdet - INFO - Epoch [3][4350/7390] lr: 2.000e-02, eta: 6:25:52, time: 0.339, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0240, loss_cls: 3.0265, loss_bbox: 1.6043, loss: 4.7074 +2022-09-02 01:01:23,495 - mmdet - INFO - Epoch [3][4400/7390] lr: 2.000e-02, eta: 6:25:36, time: 0.336, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0232, loss_cls: 2.9998, loss_bbox: 1.6078, loss: 4.6823 +2022-09-02 01:01:39,946 - mmdet - INFO - Epoch [3][4450/7390] lr: 2.000e-02, eta: 6:25:19, time: 0.330, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0231, loss_cls: 2.9930, loss_bbox: 1.6073, loss: 4.6771 +2022-09-02 01:01:56,661 - mmdet - INFO - Epoch [3][4500/7390] lr: 2.000e-02, eta: 6:25:02, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0239, loss_cls: 3.0115, loss_bbox: 1.5985, loss: 4.6870 +2022-09-02 01:02:13,097 - mmdet - INFO - Epoch [3][4550/7390] lr: 2.000e-02, eta: 6:24:45, time: 0.328, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0237, loss_cls: 3.0061, loss_bbox: 1.6177, loss: 4.7003 +2022-09-02 01:02:29,991 - mmdet - INFO - Epoch [3][4600/7390] lr: 2.000e-02, eta: 6:24:29, time: 0.339, data_time: 0.010, memory: 3935, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0235, loss_cls: 3.0044, loss_bbox: 1.6033, loss: 4.6841 +2022-09-02 01:02:46,702 - mmdet - INFO - Epoch [3][4650/7390] lr: 2.000e-02, eta: 6:24:13, time: 0.334, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0239, loss_cls: 3.0008, loss_bbox: 1.6027, loss: 4.6803 +2022-09-02 01:03:03,057 - mmdet - INFO - Epoch [3][4700/7390] lr: 2.000e-02, eta: 6:23:55, time: 0.327, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0234, loss_cls: 2.9900, loss_bbox: 1.6083, loss: 4.6748 +2022-09-02 01:03:19,918 - mmdet - INFO - Epoch [3][4750/7390] lr: 2.000e-02, eta: 6:23:39, time: 0.337, data_time: 0.009, memory: 3935, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0238, loss_cls: 2.9993, loss_bbox: 1.6084, loss: 4.6855 +2022-09-02 01:03:36,567 - mmdet - INFO - Epoch [3][4800/7390] lr: 2.000e-02, eta: 6:23:23, time: 0.333, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0231, loss_cls: 2.9897, loss_bbox: 1.5960, loss: 4.6605 +2022-09-02 01:03:53,089 - mmdet - INFO - Epoch [3][4850/7390] lr: 2.000e-02, eta: 6:23:06, time: 0.330, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0236, loss_cls: 2.9872, loss_bbox: 1.6018, loss: 4.6662 +2022-09-02 01:04:10,118 - mmdet - INFO - Epoch [3][4900/7390] lr: 2.000e-02, eta: 6:22:50, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0239, loss_cls: 2.9869, loss_bbox: 1.6036, loss: 4.6686 +2022-09-02 01:04:27,171 - mmdet - INFO - Epoch [3][4950/7390] lr: 2.000e-02, eta: 6:22:35, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0241, loss_cls: 3.0076, loss_bbox: 1.5928, loss: 4.6786 +2022-09-02 01:04:43,834 - mmdet - INFO - Epoch [3][5000/7390] lr: 2.000e-02, eta: 6:22:19, time: 0.333, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0238, loss_cls: 2.9901, loss_bbox: 1.5915, loss: 4.6585 +2022-09-02 01:05:00,672 - mmdet - INFO - Epoch [3][5050/7390] lr: 2.000e-02, eta: 6:22:03, time: 0.337, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0236, loss_cls: 3.0138, loss_bbox: 1.6118, loss: 4.7032 +2022-09-02 01:05:17,647 - mmdet - INFO - Epoch [3][5100/7390] lr: 2.000e-02, eta: 6:21:47, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0233, loss_cls: 2.9957, loss_bbox: 1.6103, loss: 4.6814 +2022-09-02 01:05:34,681 - mmdet - INFO - Epoch [3][5150/7390] lr: 2.000e-02, eta: 6:21:32, time: 0.341, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0237, loss_cls: 3.0001, loss_bbox: 1.6095, loss: 4.6867 +2022-09-02 01:05:52,026 - mmdet - INFO - Epoch [3][5200/7390] lr: 2.000e-02, eta: 6:21:17, time: 0.346, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0241, loss_cls: 3.0111, loss_bbox: 1.6097, loss: 4.6985 +2022-09-02 01:06:08,512 - mmdet - INFO - Epoch [3][5250/7390] lr: 2.000e-02, eta: 6:21:00, time: 0.330, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0230, loss_cls: 3.0109, loss_bbox: 1.5985, loss: 4.6837 +2022-09-02 01:06:25,103 - mmdet - INFO - Epoch [3][5300/7390] lr: 2.000e-02, eta: 6:20:43, time: 0.332, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0239, loss_cls: 2.9925, loss_bbox: 1.5988, loss: 4.6681 +2022-09-02 01:06:41,879 - mmdet - INFO - Epoch [3][5350/7390] lr: 2.000e-02, eta: 6:20:27, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0231, loss_cls: 2.9778, loss_bbox: 1.5945, loss: 4.6473 +2022-09-02 01:06:58,822 - mmdet - INFO - Epoch [3][5400/7390] lr: 2.000e-02, eta: 6:20:12, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0236, loss_cls: 3.0100, loss_bbox: 1.6043, loss: 4.6905 +2022-09-02 01:07:15,735 - mmdet - INFO - Epoch [3][5450/7390] lr: 2.000e-02, eta: 6:19:56, time: 0.337, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0242, loss_cls: 3.0154, loss_bbox: 1.6005, loss: 4.6935 +2022-09-02 01:07:32,610 - mmdet - INFO - Epoch [3][5500/7390] lr: 2.000e-02, eta: 6:19:40, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0233, loss_cls: 3.0011, loss_bbox: 1.6127, loss: 4.6896 +2022-09-02 01:07:49,529 - mmdet - INFO - Epoch [3][5550/7390] lr: 2.000e-02, eta: 6:19:24, time: 0.337, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0245, loss_cls: 3.0192, loss_bbox: 1.6005, loss: 4.6982 +2022-09-02 01:08:06,030 - mmdet - INFO - Epoch [3][5600/7390] lr: 2.000e-02, eta: 6:19:07, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0243, loss_cls: 3.0056, loss_bbox: 1.5983, loss: 4.6823 +2022-09-02 01:08:23,425 - mmdet - INFO - Epoch [3][5650/7390] lr: 2.000e-02, eta: 6:18:53, time: 0.347, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0246, loss_cls: 3.0112, loss_bbox: 1.5991, loss: 4.6895 +2022-09-02 01:08:40,106 - mmdet - INFO - Epoch [3][5700/7390] lr: 2.000e-02, eta: 6:18:36, time: 0.334, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0232, loss_cls: 2.9816, loss_bbox: 1.6040, loss: 4.6616 +2022-09-02 01:08:56,992 - mmdet - INFO - Epoch [3][5750/7390] lr: 2.000e-02, eta: 6:18:20, time: 0.337, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0234, loss_cls: 2.9942, loss_bbox: 1.5988, loss: 4.6688 +2022-09-02 01:09:13,986 - mmdet - INFO - Epoch [3][5800/7390] lr: 2.000e-02, eta: 6:18:05, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 2.9830, loss_bbox: 1.6027, loss: 4.6606 +2022-09-02 01:09:31,214 - mmdet - INFO - Epoch [3][5850/7390] lr: 2.000e-02, eta: 6:17:50, time: 0.344, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0245, loss_cls: 2.9948, loss_bbox: 1.5908, loss: 4.6641 +2022-09-02 01:09:48,020 - mmdet - INFO - Epoch [3][5900/7390] lr: 2.000e-02, eta: 6:17:34, time: 0.337, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0235, loss_cls: 3.0202, loss_bbox: 1.6124, loss: 4.7087 +2022-09-02 01:10:04,516 - mmdet - INFO - Epoch [3][5950/7390] lr: 2.000e-02, eta: 6:17:17, time: 0.330, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0229, loss_cls: 2.9852, loss_bbox: 1.6088, loss: 4.6682 +2022-09-02 01:10:20,998 - mmdet - INFO - Epoch [3][6000/7390] lr: 2.000e-02, eta: 6:16:59, time: 0.329, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0233, loss_cls: 2.9850, loss_bbox: 1.6053, loss: 4.6670 +2022-09-02 01:10:37,383 - mmdet - INFO - Epoch [3][6050/7390] lr: 2.000e-02, eta: 6:16:42, time: 0.328, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0237, loss_cls: 2.9831, loss_bbox: 1.6017, loss: 4.6616 +2022-09-02 01:10:54,153 - mmdet - INFO - Epoch [3][6100/7390] lr: 2.000e-02, eta: 6:16:26, time: 0.335, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0238, loss_cls: 2.9824, loss_bbox: 1.5918, loss: 4.6525 +2022-09-02 01:11:11,259 - mmdet - INFO - Epoch [3][6150/7390] lr: 2.000e-02, eta: 6:16:10, time: 0.343, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0237, loss_cls: 2.9826, loss_bbox: 1.5981, loss: 4.6572 +2022-09-02 01:11:27,574 - mmdet - INFO - Epoch [3][6200/7390] lr: 2.000e-02, eta: 6:15:53, time: 0.326, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0229, loss_cls: 2.9784, loss_bbox: 1.5987, loss: 4.6522 +2022-09-02 01:11:44,618 - mmdet - INFO - Epoch [3][6250/7390] lr: 2.000e-02, eta: 6:15:37, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0237, loss_cls: 2.9815, loss_bbox: 1.5976, loss: 4.6556 +2022-09-02 01:12:01,025 - mmdet - INFO - Epoch [3][6300/7390] lr: 2.000e-02, eta: 6:15:20, time: 0.328, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0233, loss_cls: 2.9755, loss_bbox: 1.5899, loss: 4.6413 +2022-09-02 01:12:17,967 - mmdet - INFO - Epoch [3][6350/7390] lr: 2.000e-02, eta: 6:15:04, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0238, loss_cls: 3.0042, loss_bbox: 1.6089, loss: 4.6891 +2022-09-02 01:12:34,197 - mmdet - INFO - Epoch [3][6400/7390] lr: 2.000e-02, eta: 6:14:46, time: 0.324, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0229, loss_cls: 2.9651, loss_bbox: 1.6078, loss: 4.6471 +2022-09-02 01:12:51,168 - mmdet - INFO - Epoch [3][6450/7390] lr: 2.000e-02, eta: 6:14:30, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0237, loss_cls: 2.9857, loss_bbox: 1.5875, loss: 4.6493 +2022-09-02 01:13:08,103 - mmdet - INFO - Epoch [3][6500/7390] lr: 2.000e-02, eta: 6:14:15, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0237, loss_cls: 2.9798, loss_bbox: 1.6007, loss: 4.6583 +2022-09-02 01:13:25,244 - mmdet - INFO - Epoch [3][6550/7390] lr: 2.000e-02, eta: 6:13:59, time: 0.343, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0244, loss_cls: 3.0056, loss_bbox: 1.5961, loss: 4.6794 +2022-09-02 01:13:42,303 - mmdet - INFO - Epoch [3][6600/7390] lr: 2.000e-02, eta: 6:13:44, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0241, loss_cls: 3.0042, loss_bbox: 1.5998, loss: 4.6812 +2022-09-02 01:13:58,924 - mmdet - INFO - Epoch [3][6650/7390] lr: 2.000e-02, eta: 6:13:27, time: 0.332, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0229, loss_cls: 3.0032, loss_bbox: 1.5976, loss: 4.6751 +2022-09-02 01:14:15,952 - mmdet - INFO - Epoch [3][6700/7390] lr: 2.000e-02, eta: 6:13:12, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0243, loss_cls: 2.9945, loss_bbox: 1.6048, loss: 4.6777 +2022-09-02 01:14:32,257 - mmdet - INFO - Epoch [3][6750/7390] lr: 2.000e-02, eta: 6:12:54, time: 0.325, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.9817, loss_bbox: 1.6014, loss: 4.6577 +2022-09-02 01:14:48,766 - mmdet - INFO - Epoch [3][6800/7390] lr: 2.000e-02, eta: 6:12:37, time: 0.331, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0236, loss_cls: 2.9802, loss_bbox: 1.5901, loss: 4.6477 +2022-09-02 01:15:04,790 - mmdet - INFO - Epoch [3][6850/7390] lr: 2.000e-02, eta: 6:12:18, time: 0.320, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0230, loss_cls: 2.9848, loss_bbox: 1.6006, loss: 4.6616 +2022-09-02 01:15:21,770 - mmdet - INFO - Epoch [3][6900/7390] lr: 2.000e-02, eta: 6:12:03, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0243, loss_cls: 3.0135, loss_bbox: 1.5973, loss: 4.6879 +2022-09-02 01:15:38,593 - mmdet - INFO - Epoch [3][6950/7390] lr: 2.000e-02, eta: 6:11:46, time: 0.336, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0239, loss_cls: 3.0006, loss_bbox: 1.5991, loss: 4.6764 +2022-09-02 01:15:55,275 - mmdet - INFO - Epoch [3][7000/7390] lr: 2.000e-02, eta: 6:11:30, time: 0.333, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0237, loss_cls: 2.9856, loss_bbox: 1.6005, loss: 4.6634 +2022-09-02 01:16:11,987 - mmdet - INFO - Epoch [3][7050/7390] lr: 2.000e-02, eta: 6:11:13, time: 0.335, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.9776, loss_bbox: 1.5970, loss: 4.6498 +2022-09-02 01:16:29,075 - mmdet - INFO - Epoch [3][7100/7390] lr: 2.000e-02, eta: 6:10:58, time: 0.342, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9701, loss_bbox: 1.6055, loss: 4.6513 +2022-09-02 01:16:45,706 - mmdet - INFO - Epoch [3][7150/7390] lr: 2.000e-02, eta: 6:10:41, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0225, loss_cls: 2.9718, loss_bbox: 1.6147, loss: 4.6610 +2022-09-02 01:17:02,579 - mmdet - INFO - Epoch [3][7200/7390] lr: 2.000e-02, eta: 6:10:25, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0234, loss_cls: 2.9898, loss_bbox: 1.6026, loss: 4.6684 +2022-09-02 01:17:18,917 - mmdet - INFO - Epoch [3][7250/7390] lr: 2.000e-02, eta: 6:10:08, time: 0.326, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0234, loss_cls: 2.9998, loss_bbox: 1.5943, loss: 4.6704 +2022-09-02 01:17:35,673 - mmdet - INFO - Epoch [3][7300/7390] lr: 2.000e-02, eta: 6:09:51, time: 0.336, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0232, loss_cls: 2.9817, loss_bbox: 1.5982, loss: 4.6554 +2022-09-02 01:17:52,608 - mmdet - INFO - Epoch [3][7350/7390] lr: 2.000e-02, eta: 6:09:35, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0232, loss_cls: 2.9970, loss_bbox: 1.6149, loss: 4.6874 +2022-09-02 01:18:06,194 - mmdet - INFO - Saving checkpoint at 3 epochs +2022-09-02 01:18:27,396 - mmdet - INFO - Epoch [4][50/7390] lr: 2.000e-02, eta: 6:08:35, time: 0.396, data_time: 0.070, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0234, loss_cls: 2.9975, loss_bbox: 1.5855, loss: 4.6584 +2022-09-02 01:18:44,398 - mmdet - INFO - Epoch [4][100/7390] lr: 2.000e-02, eta: 6:08:19, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0240, loss_cls: 2.9894, loss_bbox: 1.5961, loss: 4.6636 +2022-09-02 01:19:00,973 - mmdet - INFO - Epoch [4][150/7390] lr: 2.000e-02, eta: 6:08:02, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0238, loss_cls: 2.9847, loss_bbox: 1.5937, loss: 4.6540 +2022-09-02 01:19:18,002 - mmdet - INFO - Epoch [4][200/7390] lr: 2.000e-02, eta: 6:07:47, time: 0.341, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0240, loss_cls: 2.9756, loss_bbox: 1.6002, loss: 4.6531 +2022-09-02 01:19:34,257 - mmdet - INFO - Epoch [4][250/7390] lr: 2.000e-02, eta: 6:07:29, time: 0.325, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0232, loss_cls: 2.9712, loss_bbox: 1.5975, loss: 4.6446 +2022-09-02 01:19:50,765 - mmdet - INFO - Epoch [4][300/7390] lr: 2.000e-02, eta: 6:07:12, time: 0.330, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0227, loss_cls: 2.9745, loss_bbox: 1.5879, loss: 4.6365 +2022-09-02 01:20:07,824 - mmdet - INFO - Epoch [4][350/7390] lr: 2.000e-02, eta: 6:06:57, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0234, loss_cls: 2.9742, loss_bbox: 1.5940, loss: 4.6447 +2022-09-02 01:20:24,691 - mmdet - INFO - Epoch [4][400/7390] lr: 2.000e-02, eta: 6:06:41, time: 0.337, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9813, loss_bbox: 1.5944, loss: 4.6511 +2022-09-02 01:20:41,308 - mmdet - INFO - Epoch [4][450/7390] lr: 2.000e-02, eta: 6:06:24, time: 0.332, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0228, loss_cls: 2.9672, loss_bbox: 1.6043, loss: 4.6452 +2022-09-02 01:20:58,229 - mmdet - INFO - Epoch [4][500/7390] lr: 2.000e-02, eta: 6:06:08, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0241, loss_cls: 2.9906, loss_bbox: 1.6017, loss: 4.6702 +2022-09-02 01:21:15,043 - mmdet - INFO - Epoch [4][550/7390] lr: 2.000e-02, eta: 6:05:52, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0225, loss_cls: 2.9582, loss_bbox: 1.5960, loss: 4.6280 +2022-09-02 01:21:32,402 - mmdet - INFO - Epoch [4][600/7390] lr: 2.000e-02, eta: 6:05:37, time: 0.347, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0241, loss_cls: 3.0042, loss_bbox: 1.6019, loss: 4.6840 +2022-09-02 01:21:49,636 - mmdet - INFO - Epoch [4][650/7390] lr: 2.000e-02, eta: 6:05:23, time: 0.345, data_time: 0.011, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0228, loss_cls: 2.9836, loss_bbox: 1.6091, loss: 4.6672 +2022-09-02 01:22:07,008 - mmdet - INFO - Epoch [4][700/7390] lr: 2.000e-02, eta: 6:05:08, time: 0.348, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0241, loss_cls: 3.0011, loss_bbox: 1.5968, loss: 4.6758 +2022-09-02 01:22:23,844 - mmdet - INFO - Epoch [4][750/7390] lr: 2.000e-02, eta: 6:04:52, time: 0.337, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0237, loss_cls: 2.9879, loss_bbox: 1.5846, loss: 4.6487 +2022-09-02 01:22:41,117 - mmdet - INFO - Epoch [4][800/7390] lr: 2.000e-02, eta: 6:04:37, time: 0.346, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0239, loss_cls: 2.9722, loss_bbox: 1.5884, loss: 4.6385 +2022-09-02 01:22:58,381 - mmdet - INFO - Epoch [4][850/7390] lr: 2.000e-02, eta: 6:04:22, time: 0.345, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0231, loss_cls: 2.9633, loss_bbox: 1.5955, loss: 4.6342 +2022-09-02 01:23:14,932 - mmdet - INFO - Epoch [4][900/7390] lr: 2.000e-02, eta: 6:04:05, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0232, loss_cls: 2.9692, loss_bbox: 1.5937, loss: 4.6389 +2022-09-02 01:23:31,898 - mmdet - INFO - Epoch [4][950/7390] lr: 2.000e-02, eta: 6:03:50, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0239, loss_cls: 2.9861, loss_bbox: 1.5974, loss: 4.6613 +2022-09-02 01:23:49,045 - mmdet - INFO - Epoch [4][1000/7390] lr: 2.000e-02, eta: 6:03:34, time: 0.343, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0543, loss_rpn_bbox: 0.0243, loss_cls: 2.9730, loss_bbox: 1.5860, loss: 4.6376 +2022-09-02 01:24:06,059 - mmdet - INFO - Epoch [4][1050/7390] lr: 2.000e-02, eta: 6:03:19, time: 0.340, data_time: 0.011, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0235, loss_cls: 2.9807, loss_bbox: 1.5882, loss: 4.6446 +2022-09-02 01:24:23,149 - mmdet - INFO - Epoch [4][1100/7390] lr: 2.000e-02, eta: 6:03:03, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0234, loss_cls: 2.9451, loss_bbox: 1.5891, loss: 4.6103 +2022-09-02 01:24:40,058 - mmdet - INFO - Epoch [4][1150/7390] lr: 2.000e-02, eta: 6:02:47, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0238, loss_cls: 2.9788, loss_bbox: 1.5917, loss: 4.6470 +2022-09-02 01:24:57,364 - mmdet - INFO - Epoch [4][1200/7390] lr: 2.000e-02, eta: 6:02:33, time: 0.346, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0244, loss_cls: 2.9963, loss_bbox: 1.5925, loss: 4.6677 +2022-09-02 01:25:14,281 - mmdet - INFO - Epoch [4][1250/7390] lr: 2.000e-02, eta: 6:02:17, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0242, loss_cls: 2.9804, loss_bbox: 1.6010, loss: 4.6594 +2022-09-02 01:25:30,990 - mmdet - INFO - Epoch [4][1300/7390] lr: 2.000e-02, eta: 6:02:00, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0238, loss_cls: 2.9874, loss_bbox: 1.6000, loss: 4.6647 +2022-09-02 01:25:47,459 - mmdet - INFO - Epoch [4][1350/7390] lr: 2.000e-02, eta: 6:01:43, time: 0.330, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9659, loss_bbox: 1.5835, loss: 4.6246 +2022-09-02 01:26:04,045 - mmdet - INFO - Epoch [4][1400/7390] lr: 2.000e-02, eta: 6:01:26, time: 0.332, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0235, loss_cls: 2.9755, loss_bbox: 1.5952, loss: 4.6467 +2022-09-02 01:26:20,639 - mmdet - INFO - Epoch [4][1450/7390] lr: 2.000e-02, eta: 6:01:09, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 2.9677, loss_bbox: 1.6003, loss: 4.6414 +2022-09-02 01:26:37,358 - mmdet - INFO - Epoch [4][1500/7390] lr: 2.000e-02, eta: 6:00:53, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0236, loss_cls: 2.9616, loss_bbox: 1.5984, loss: 4.6366 +2022-09-02 01:26:54,308 - mmdet - INFO - Epoch [4][1550/7390] lr: 2.000e-02, eta: 6:00:37, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0237, loss_cls: 2.9623, loss_bbox: 1.5853, loss: 4.6237 +2022-09-02 01:27:10,863 - mmdet - INFO - Epoch [4][1600/7390] lr: 2.000e-02, eta: 6:00:20, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0229, loss_cls: 2.9712, loss_bbox: 1.5908, loss: 4.6365 +2022-09-02 01:27:27,268 - mmdet - INFO - Epoch [4][1650/7390] lr: 2.000e-02, eta: 6:00:03, time: 0.328, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0233, loss_cls: 2.9628, loss_bbox: 1.5940, loss: 4.6331 +2022-09-02 01:27:44,398 - mmdet - INFO - Epoch [4][1700/7390] lr: 2.000e-02, eta: 5:59:47, time: 0.342, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0238, loss_cls: 2.9682, loss_bbox: 1.5938, loss: 4.6402 +2022-09-02 01:28:01,257 - mmdet - INFO - Epoch [4][1750/7390] lr: 2.000e-02, eta: 5:59:31, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0235, loss_cls: 2.9658, loss_bbox: 1.5876, loss: 4.6291 +2022-09-02 01:28:18,364 - mmdet - INFO - Epoch [4][1800/7390] lr: 2.000e-02, eta: 5:59:16, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9521, loss_bbox: 1.5922, loss: 4.6192 +2022-09-02 01:28:35,487 - mmdet - INFO - Epoch [4][1850/7390] lr: 2.000e-02, eta: 5:59:00, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0243, loss_cls: 2.9833, loss_bbox: 1.5846, loss: 4.6463 +2022-09-02 01:28:52,884 - mmdet - INFO - Epoch [4][1900/7390] lr: 2.000e-02, eta: 5:58:46, time: 0.348, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0235, loss_cls: 2.9856, loss_bbox: 1.6028, loss: 4.6648 +2022-09-02 01:29:10,375 - mmdet - INFO - Epoch [4][1950/7390] lr: 2.000e-02, eta: 5:58:31, time: 0.349, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0240, loss_cls: 2.9771, loss_bbox: 1.5918, loss: 4.6457 +2022-09-02 01:29:27,477 - mmdet - INFO - Epoch [4][2000/7390] lr: 2.000e-02, eta: 5:58:16, time: 0.342, data_time: 0.011, memory: 4133, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0239, loss_cls: 2.9869, loss_bbox: 1.5969, loss: 4.6606 +2022-09-02 01:29:44,188 - mmdet - INFO - Epoch [4][2050/7390] lr: 2.000e-02, eta: 5:57:59, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0234, loss_cls: 2.9776, loss_bbox: 1.5847, loss: 4.6381 +2022-09-02 01:30:01,539 - mmdet - INFO - Epoch [4][2100/7390] lr: 2.000e-02, eta: 5:57:44, time: 0.347, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0238, loss_cls: 2.9822, loss_bbox: 1.5993, loss: 4.6585 +2022-09-02 01:30:18,486 - mmdet - INFO - Epoch [4][2150/7390] lr: 2.000e-02, eta: 5:57:29, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9753, loss_bbox: 1.5845, loss: 4.6354 +2022-09-02 01:30:35,402 - mmdet - INFO - Epoch [4][2200/7390] lr: 2.000e-02, eta: 5:57:13, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0233, loss_cls: 2.9709, loss_bbox: 1.5952, loss: 4.6409 +2022-09-02 01:30:52,856 - mmdet - INFO - Epoch [4][2250/7390] lr: 2.000e-02, eta: 5:56:58, time: 0.349, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0238, loss_cls: 2.9692, loss_bbox: 1.5908, loss: 4.6360 +2022-09-02 01:31:09,545 - mmdet - INFO - Epoch [4][2300/7390] lr: 2.000e-02, eta: 5:56:41, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0232, loss_cls: 2.9908, loss_bbox: 1.5961, loss: 4.6625 +2022-09-02 01:31:26,104 - mmdet - INFO - Epoch [4][2350/7390] lr: 2.000e-02, eta: 5:56:24, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0233, loss_cls: 2.9750, loss_bbox: 1.5918, loss: 4.6428 +2022-09-02 01:31:42,764 - mmdet - INFO - Epoch [4][2400/7390] lr: 2.000e-02, eta: 5:56:08, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9684, loss_bbox: 1.5920, loss: 4.6360 +2022-09-02 01:32:00,337 - mmdet - INFO - Epoch [4][2450/7390] lr: 2.000e-02, eta: 5:55:53, time: 0.351, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0239, loss_cls: 2.9903, loss_bbox: 1.5888, loss: 4.6553 +2022-09-02 01:32:17,971 - mmdet - INFO - Epoch [4][2500/7390] lr: 2.000e-02, eta: 5:55:39, time: 0.352, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0242, loss_cls: 2.9796, loss_bbox: 1.5877, loss: 4.6447 +2022-09-02 01:32:34,960 - mmdet - INFO - Epoch [4][2550/7390] lr: 2.000e-02, eta: 5:55:23, time: 0.341, data_time: 0.012, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0231, loss_cls: 2.9719, loss_bbox: 1.5924, loss: 4.6392 +2022-09-02 01:32:51,623 - mmdet - INFO - Epoch [4][2600/7390] lr: 2.000e-02, eta: 5:55:07, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0233, loss_cls: 2.9671, loss_bbox: 1.5962, loss: 4.6383 +2022-09-02 01:33:08,702 - mmdet - INFO - Epoch [4][2650/7390] lr: 2.000e-02, eta: 5:54:51, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0242, loss_cls: 2.9915, loss_bbox: 1.5983, loss: 4.6673 +2022-09-02 01:33:25,507 - mmdet - INFO - Epoch [4][2700/7390] lr: 2.000e-02, eta: 5:54:35, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0239, loss_cls: 2.9817, loss_bbox: 1.5940, loss: 4.6523 +2022-09-02 01:33:41,931 - mmdet - INFO - Epoch [4][2750/7390] lr: 2.000e-02, eta: 5:54:17, time: 0.328, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0231, loss_cls: 2.9499, loss_bbox: 1.5860, loss: 4.6113 +2022-09-02 01:33:58,885 - mmdet - INFO - Epoch [4][2800/7390] lr: 2.000e-02, eta: 5:54:01, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 2.9751, loss_bbox: 1.5974, loss: 4.6483 +2022-09-02 01:34:15,412 - mmdet - INFO - Epoch [4][2850/7390] lr: 2.000e-02, eta: 5:53:44, time: 0.330, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0236, loss_cls: 2.9730, loss_bbox: 1.5963, loss: 4.6453 +2022-09-02 01:34:32,162 - mmdet - INFO - Epoch [4][2900/7390] lr: 2.000e-02, eta: 5:53:28, time: 0.335, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0235, loss_cls: 2.9705, loss_bbox: 1.5910, loss: 4.6374 +2022-09-02 01:34:49,795 - mmdet - INFO - Epoch [4][2950/7390] lr: 2.000e-02, eta: 5:53:14, time: 0.353, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0240, loss_cls: 2.9813, loss_bbox: 1.5804, loss: 4.6389 +2022-09-02 01:35:06,711 - mmdet - INFO - Epoch [4][3000/7390] lr: 2.000e-02, eta: 5:52:58, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0237, loss_cls: 2.9739, loss_bbox: 1.5760, loss: 4.6257 +2022-09-02 01:35:23,573 - mmdet - INFO - Epoch [4][3050/7390] lr: 2.000e-02, eta: 5:52:42, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0235, loss_cls: 2.9602, loss_bbox: 1.5944, loss: 4.6315 +2022-09-02 01:35:40,502 - mmdet - INFO - Epoch [4][3100/7390] lr: 2.000e-02, eta: 5:52:25, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0240, loss_cls: 2.9692, loss_bbox: 1.5915, loss: 4.6375 +2022-09-02 01:35:56,966 - mmdet - INFO - Epoch [4][3150/7390] lr: 2.000e-02, eta: 5:52:08, time: 0.329, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0234, loss_cls: 2.9618, loss_bbox: 1.5915, loss: 4.6292 +2022-09-02 01:36:13,877 - mmdet - INFO - Epoch [4][3200/7390] lr: 2.000e-02, eta: 5:51:52, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0231, loss_cls: 2.9618, loss_bbox: 1.5890, loss: 4.6260 +2022-09-02 01:36:30,797 - mmdet - INFO - Epoch [4][3250/7390] lr: 2.000e-02, eta: 5:51:36, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0238, loss_cls: 2.9765, loss_bbox: 1.5937, loss: 4.6469 +2022-09-02 01:36:48,196 - mmdet - INFO - Epoch [4][3300/7390] lr: 2.000e-02, eta: 5:51:21, time: 0.348, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0242, loss_cls: 2.9777, loss_bbox: 1.5939, loss: 4.6498 +2022-09-02 01:37:05,022 - mmdet - INFO - Epoch [4][3350/7390] lr: 2.000e-02, eta: 5:51:05, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0235, loss_cls: 2.9730, loss_bbox: 1.5954, loss: 4.6440 +2022-09-02 01:37:23,923 - mmdet - INFO - Epoch [4][3400/7390] lr: 2.000e-02, eta: 5:50:54, time: 0.379, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0230, loss_cls: 2.9646, loss_bbox: 1.5916, loss: 4.6316 +2022-09-02 01:37:40,490 - mmdet - INFO - Epoch [4][3450/7390] lr: 2.000e-02, eta: 5:50:37, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0227, loss_cls: 2.9619, loss_bbox: 1.5898, loss: 4.6259 +2022-09-02 01:37:57,285 - mmdet - INFO - Epoch [4][3500/7390] lr: 2.000e-02, eta: 5:50:20, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9687, loss_bbox: 1.5944, loss: 4.6383 +2022-09-02 01:38:14,287 - mmdet - INFO - Epoch [4][3550/7390] lr: 2.000e-02, eta: 5:50:05, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.9459, loss_bbox: 1.5935, loss: 4.6147 +2022-09-02 01:38:33,585 - mmdet - INFO - Epoch [4][3600/7390] lr: 2.000e-02, eta: 5:49:54, time: 0.386, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0238, loss_cls: 2.9653, loss_bbox: 1.5887, loss: 4.6312 +2022-09-02 01:38:53,414 - mmdet - INFO - Epoch [4][3650/7390] lr: 2.000e-02, eta: 5:49:45, time: 0.397, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0232, loss_cls: 2.9762, loss_bbox: 1.5933, loss: 4.6446 +2022-09-02 01:39:10,069 - mmdet - INFO - Epoch [4][3700/7390] lr: 2.000e-02, eta: 5:49:28, time: 0.333, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0237, loss_cls: 2.9742, loss_bbox: 1.5869, loss: 4.6379 +2022-09-02 01:39:28,965 - mmdet - INFO - Epoch [4][3750/7390] lr: 2.000e-02, eta: 5:49:17, time: 0.378, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0235, loss_cls: 2.9845, loss_bbox: 1.5907, loss: 4.6518 +2022-09-02 01:39:47,894 - mmdet - INFO - Epoch [4][3800/7390] lr: 2.000e-02, eta: 5:49:06, time: 0.379, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0236, loss_cls: 2.9871, loss_bbox: 1.5823, loss: 4.6454 +2022-09-02 01:40:04,280 - mmdet - INFO - Epoch [4][3850/7390] lr: 2.000e-02, eta: 5:48:48, time: 0.327, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0234, loss_cls: 2.9674, loss_bbox: 1.5947, loss: 4.6380 +2022-09-02 01:40:23,368 - mmdet - INFO - Epoch [4][3900/7390] lr: 2.000e-02, eta: 5:48:37, time: 0.382, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0237, loss_cls: 2.9701, loss_bbox: 1.5902, loss: 4.6367 +2022-09-02 01:40:42,058 - mmdet - INFO - Epoch [4][3950/7390] lr: 2.000e-02, eta: 5:48:25, time: 0.374, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0228, loss_cls: 2.9557, loss_bbox: 1.5977, loss: 4.6279 +2022-09-02 01:40:59,013 - mmdet - INFO - Epoch [4][4000/7390] lr: 2.000e-02, eta: 5:48:09, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0236, loss_cls: 2.9678, loss_bbox: 1.5825, loss: 4.6262 +2022-09-02 01:41:17,963 - mmdet - INFO - Epoch [4][4050/7390] lr: 2.000e-02, eta: 5:47:58, time: 0.379, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0235, loss_cls: 2.9803, loss_bbox: 1.5834, loss: 4.6389 +2022-09-02 01:41:35,322 - mmdet - INFO - Epoch [4][4100/7390] lr: 2.000e-02, eta: 5:47:43, time: 0.347, data_time: 0.012, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0238, loss_cls: 2.9785, loss_bbox: 1.5878, loss: 4.6427 +2022-09-02 01:41:51,974 - mmdet - INFO - Epoch [4][4150/7390] lr: 2.000e-02, eta: 5:47:26, time: 0.334, data_time: 0.011, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0234, loss_cls: 2.9705, loss_bbox: 1.5972, loss: 4.6435 +2022-09-02 01:42:08,481 - mmdet - INFO - Epoch [4][4200/7390] lr: 2.000e-02, eta: 5:47:09, time: 0.330, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9590, loss_bbox: 1.5908, loss: 4.6250 +2022-09-02 01:42:25,511 - mmdet - INFO - Epoch [4][4250/7390] lr: 2.000e-02, eta: 5:46:53, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0231, loss_cls: 2.9599, loss_bbox: 1.5847, loss: 4.6197 +2022-09-02 01:42:42,303 - mmdet - INFO - Epoch [4][4300/7390] lr: 2.000e-02, eta: 5:46:36, time: 0.337, data_time: 0.011, memory: 4133, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0230, loss_cls: 2.9564, loss_bbox: 1.5860, loss: 4.6165 +2022-09-02 01:42:59,091 - mmdet - INFO - Epoch [4][4350/7390] lr: 2.000e-02, eta: 5:46:20, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0230, loss_cls: 2.9813, loss_bbox: 1.5918, loss: 4.6478 +2022-09-02 01:43:15,918 - mmdet - INFO - Epoch [4][4400/7390] lr: 2.000e-02, eta: 5:46:03, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0236, loss_cls: 2.9694, loss_bbox: 1.5770, loss: 4.6225 +2022-09-02 01:43:32,693 - mmdet - INFO - Epoch [4][4450/7390] lr: 2.000e-02, eta: 5:45:47, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0230, loss_cls: 2.9613, loss_bbox: 1.5935, loss: 4.6298 +2022-09-02 01:43:49,634 - mmdet - INFO - Epoch [4][4500/7390] lr: 2.000e-02, eta: 5:45:30, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0238, loss_cls: 2.9699, loss_bbox: 1.5952, loss: 4.6416 +2022-09-02 01:44:06,477 - mmdet - INFO - Epoch [4][4550/7390] lr: 2.000e-02, eta: 5:45:14, time: 0.337, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0238, loss_cls: 2.9685, loss_bbox: 1.5862, loss: 4.6312 +2022-09-02 01:44:23,470 - mmdet - INFO - Epoch [4][4600/7390] lr: 2.000e-02, eta: 5:44:58, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 2.9757, loss_bbox: 1.5898, loss: 4.6413 +2022-09-02 01:44:40,570 - mmdet - INFO - Epoch [4][4650/7390] lr: 2.000e-02, eta: 5:44:42, time: 0.341, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0239, loss_cls: 2.9752, loss_bbox: 1.5832, loss: 4.6347 +2022-09-02 01:44:57,733 - mmdet - INFO - Epoch [4][4700/7390] lr: 2.000e-02, eta: 5:44:26, time: 0.344, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0241, loss_cls: 2.9526, loss_bbox: 1.5818, loss: 4.6120 +2022-09-02 01:45:14,608 - mmdet - INFO - Epoch [4][4750/7390] lr: 2.000e-02, eta: 5:44:10, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0537, loss_rpn_bbox: 0.0241, loss_cls: 2.9830, loss_bbox: 1.5944, loss: 4.6552 +2022-09-02 01:45:31,617 - mmdet - INFO - Epoch [4][4800/7390] lr: 2.000e-02, eta: 5:43:54, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0231, loss_cls: 2.9655, loss_bbox: 1.5894, loss: 4.6302 +2022-09-02 01:45:48,293 - mmdet - INFO - Epoch [4][4850/7390] lr: 2.000e-02, eta: 5:43:37, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0239, loss_cls: 2.9596, loss_bbox: 1.5802, loss: 4.6166 +2022-09-02 01:46:05,297 - mmdet - INFO - Epoch [4][4900/7390] lr: 2.000e-02, eta: 5:43:21, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0237, loss_cls: 2.9612, loss_bbox: 1.5816, loss: 4.6199 +2022-09-02 01:46:22,026 - mmdet - INFO - Epoch [4][4950/7390] lr: 2.000e-02, eta: 5:43:04, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0233, loss_cls: 2.9668, loss_bbox: 1.5894, loss: 4.6314 +2022-09-02 01:46:38,675 - mmdet - INFO - Epoch [4][5000/7390] lr: 2.000e-02, eta: 5:42:47, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0235, loss_cls: 2.9642, loss_bbox: 1.5848, loss: 4.6248 +2022-09-02 01:46:55,242 - mmdet - INFO - Epoch [4][5050/7390] lr: 2.000e-02, eta: 5:42:30, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0228, loss_cls: 2.9493, loss_bbox: 1.5816, loss: 4.6056 +2022-09-02 01:47:12,122 - mmdet - INFO - Epoch [4][5100/7390] lr: 2.000e-02, eta: 5:42:14, time: 0.337, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0229, loss_cls: 2.9477, loss_bbox: 1.5892, loss: 4.6113 +2022-09-02 01:47:28,438 - mmdet - INFO - Epoch [4][5150/7390] lr: 2.000e-02, eta: 5:41:56, time: 0.326, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0229, loss_cls: 2.9550, loss_bbox: 1.5850, loss: 4.6140 +2022-09-02 01:47:45,158 - mmdet - INFO - Epoch [4][5200/7390] lr: 2.000e-02, eta: 5:41:40, time: 0.335, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0237, loss_cls: 2.9768, loss_bbox: 1.5851, loss: 4.6378 +2022-09-02 01:48:02,121 - mmdet - INFO - Epoch [4][5250/7390] lr: 2.000e-02, eta: 5:41:23, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0233, loss_cls: 2.9827, loss_bbox: 1.5897, loss: 4.6485 +2022-09-02 01:48:18,863 - mmdet - INFO - Epoch [4][5300/7390] lr: 2.000e-02, eta: 5:41:07, time: 0.335, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0230, loss_cls: 2.9526, loss_bbox: 1.5911, loss: 4.6184 +2022-09-02 01:48:36,174 - mmdet - INFO - Epoch [4][5350/7390] lr: 2.000e-02, eta: 5:40:51, time: 0.346, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0236, loss_cls: 2.9709, loss_bbox: 1.5822, loss: 4.6297 +2022-09-02 01:48:53,071 - mmdet - INFO - Epoch [4][5400/7390] lr: 2.000e-02, eta: 5:40:35, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0238, loss_cls: 2.9777, loss_bbox: 1.5819, loss: 4.6361 +2022-09-02 01:49:10,125 - mmdet - INFO - Epoch [4][5450/7390] lr: 2.000e-02, eta: 5:40:19, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0240, loss_cls: 2.9658, loss_bbox: 1.5777, loss: 4.6211 +2022-09-02 01:49:27,025 - mmdet - INFO - Epoch [4][5500/7390] lr: 2.000e-02, eta: 5:40:03, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0236, loss_cls: 2.9586, loss_bbox: 1.5879, loss: 4.6235 +2022-09-02 01:49:44,400 - mmdet - INFO - Epoch [4][5550/7390] lr: 2.000e-02, eta: 5:39:48, time: 0.347, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0237, loss_cls: 2.9829, loss_bbox: 1.5896, loss: 4.6483 +2022-09-02 01:50:01,118 - mmdet - INFO - Epoch [4][5600/7390] lr: 2.000e-02, eta: 5:39:31, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0229, loss_cls: 2.9625, loss_bbox: 1.5854, loss: 4.6234 +2022-09-02 01:50:18,080 - mmdet - INFO - Epoch [4][5650/7390] lr: 2.000e-02, eta: 5:39:15, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0229, loss_cls: 2.9778, loss_bbox: 1.5916, loss: 4.6440 +2022-09-02 01:50:34,770 - mmdet - INFO - Epoch [4][5700/7390] lr: 2.000e-02, eta: 5:38:58, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0234, loss_cls: 2.9731, loss_bbox: 1.5842, loss: 4.6327 +2022-09-02 01:50:51,765 - mmdet - INFO - Epoch [4][5750/7390] lr: 2.000e-02, eta: 5:38:42, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0237, loss_cls: 2.9530, loss_bbox: 1.5860, loss: 4.6152 +2022-09-02 01:51:08,588 - mmdet - INFO - Epoch [4][5800/7390] lr: 2.000e-02, eta: 5:38:25, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0232, loss_cls: 2.9477, loss_bbox: 1.5882, loss: 4.6100 +2022-09-02 01:51:25,506 - mmdet - INFO - Epoch [4][5850/7390] lr: 2.000e-02, eta: 5:38:09, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0229, loss_cls: 2.9542, loss_bbox: 1.5962, loss: 4.6253 +2022-09-02 01:51:42,272 - mmdet - INFO - Epoch [4][5900/7390] lr: 2.000e-02, eta: 5:37:52, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0237, loss_cls: 2.9836, loss_bbox: 1.5907, loss: 4.6510 +2022-09-02 01:51:59,255 - mmdet - INFO - Epoch [4][5950/7390] lr: 2.000e-02, eta: 5:37:36, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0236, loss_cls: 2.9727, loss_bbox: 1.5876, loss: 4.6362 +2022-09-02 01:52:15,752 - mmdet - INFO - Epoch [4][6000/7390] lr: 2.000e-02, eta: 5:37:19, time: 0.330, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0229, loss_cls: 2.9611, loss_bbox: 1.5733, loss: 4.6089 +2022-09-02 01:52:32,840 - mmdet - INFO - Epoch [4][6050/7390] lr: 2.000e-02, eta: 5:37:03, time: 0.342, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0235, loss_cls: 2.9522, loss_bbox: 1.5800, loss: 4.6086 +2022-09-02 01:52:49,783 - mmdet - INFO - Epoch [4][6100/7390] lr: 2.000e-02, eta: 5:36:47, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0235, loss_cls: 2.9467, loss_bbox: 1.5771, loss: 4.5999 +2022-09-02 01:53:06,969 - mmdet - INFO - Epoch [4][6150/7390] lr: 2.000e-02, eta: 5:36:31, time: 0.344, data_time: 0.011, memory: 4133, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0241, loss_cls: 2.9533, loss_bbox: 1.5912, loss: 4.6227 +2022-09-02 01:53:23,755 - mmdet - INFO - Epoch [4][6200/7390] lr: 2.000e-02, eta: 5:36:14, time: 0.335, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0227, loss_cls: 2.9531, loss_bbox: 1.5802, loss: 4.6065 +2022-09-02 01:53:40,928 - mmdet - INFO - Epoch [4][6250/7390] lr: 2.000e-02, eta: 5:35:59, time: 0.343, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.9512, loss_bbox: 1.5943, loss: 4.6202 +2022-09-02 01:53:57,591 - mmdet - INFO - Epoch [4][6300/7390] lr: 2.000e-02, eta: 5:35:42, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9790, loss_bbox: 1.5825, loss: 4.6371 +2022-09-02 01:54:14,557 - mmdet - INFO - Epoch [4][6350/7390] lr: 2.000e-02, eta: 5:35:25, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9618, loss_bbox: 1.5911, loss: 4.6282 +2022-09-02 01:54:31,214 - mmdet - INFO - Epoch [4][6400/7390] lr: 2.000e-02, eta: 5:35:09, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0231, loss_cls: 2.9543, loss_bbox: 1.5805, loss: 4.6088 +2022-09-02 01:54:48,280 - mmdet - INFO - Epoch [4][6450/7390] lr: 2.000e-02, eta: 5:34:52, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0234, loss_cls: 2.9431, loss_bbox: 1.5861, loss: 4.6052 +2022-09-02 01:55:05,094 - mmdet - INFO - Epoch [4][6500/7390] lr: 2.000e-02, eta: 5:34:36, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0234, loss_cls: 2.9573, loss_bbox: 1.5883, loss: 4.6215 +2022-09-02 01:55:22,151 - mmdet - INFO - Epoch [4][6550/7390] lr: 2.000e-02, eta: 5:34:20, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0233, loss_cls: 2.9519, loss_bbox: 1.5812, loss: 4.6081 +2022-09-02 01:55:39,063 - mmdet - INFO - Epoch [4][6600/7390] lr: 2.000e-02, eta: 5:34:04, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0234, loss_cls: 2.9629, loss_bbox: 1.5849, loss: 4.6235 +2022-09-02 01:55:55,739 - mmdet - INFO - Epoch [4][6650/7390] lr: 2.000e-02, eta: 5:33:47, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0230, loss_cls: 2.9536, loss_bbox: 1.5760, loss: 4.6042 +2022-09-02 01:56:12,441 - mmdet - INFO - Epoch [4][6700/7390] lr: 2.000e-02, eta: 5:33:30, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0231, loss_cls: 2.9324, loss_bbox: 1.5732, loss: 4.5807 +2022-09-02 01:56:29,360 - mmdet - INFO - Epoch [4][6750/7390] lr: 2.000e-02, eta: 5:33:14, time: 0.339, data_time: 0.011, memory: 4133, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0239, loss_cls: 2.9591, loss_bbox: 1.5965, loss: 4.6324 +2022-09-02 01:56:46,448 - mmdet - INFO - Epoch [4][6800/7390] lr: 2.000e-02, eta: 5:32:58, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0236, loss_cls: 2.9598, loss_bbox: 1.5825, loss: 4.6172 +2022-09-02 01:57:02,936 - mmdet - INFO - Epoch [4][6850/7390] lr: 2.000e-02, eta: 5:32:40, time: 0.329, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0229, loss_cls: 2.9614, loss_bbox: 1.5910, loss: 4.6269 +2022-09-02 01:57:19,310 - mmdet - INFO - Epoch [4][6900/7390] lr: 2.000e-02, eta: 5:32:23, time: 0.328, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0233, loss_cls: 2.9665, loss_bbox: 1.5771, loss: 4.6191 +2022-09-02 01:57:35,842 - mmdet - INFO - Epoch [4][6950/7390] lr: 2.000e-02, eta: 5:32:06, time: 0.330, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.9491, loss_bbox: 1.5856, loss: 4.6092 +2022-09-02 01:57:52,798 - mmdet - INFO - Epoch [4][7000/7390] lr: 2.000e-02, eta: 5:31:50, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0236, loss_cls: 2.9654, loss_bbox: 1.5773, loss: 4.6180 +2022-09-02 01:58:09,806 - mmdet - INFO - Epoch [4][7050/7390] lr: 2.000e-02, eta: 5:31:33, time: 0.341, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 2.9435, loss_bbox: 1.5861, loss: 4.6054 +2022-09-02 01:58:26,653 - mmdet - INFO - Epoch [4][7100/7390] lr: 2.000e-02, eta: 5:31:17, time: 0.337, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0237, loss_cls: 2.9660, loss_bbox: 1.5856, loss: 4.6275 +2022-09-02 01:58:43,213 - mmdet - INFO - Epoch [4][7150/7390] lr: 2.000e-02, eta: 5:31:00, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0229, loss_cls: 2.9587, loss_bbox: 1.5831, loss: 4.6159 +2022-09-02 01:58:59,681 - mmdet - INFO - Epoch [4][7200/7390] lr: 2.000e-02, eta: 5:30:43, time: 0.329, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0223, loss_cls: 2.9465, loss_bbox: 1.5875, loss: 4.6064 +2022-09-02 01:59:16,509 - mmdet - INFO - Epoch [4][7250/7390] lr: 2.000e-02, eta: 5:30:26, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0233, loss_cls: 2.9531, loss_bbox: 1.5869, loss: 4.6150 +2022-09-02 01:59:32,720 - mmdet - INFO - Epoch [4][7300/7390] lr: 2.000e-02, eta: 5:30:08, time: 0.325, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0225, loss_cls: 2.9333, loss_bbox: 1.5939, loss: 4.6011 +2022-09-02 01:59:49,775 - mmdet - INFO - Epoch [4][7350/7390] lr: 2.000e-02, eta: 5:29:52, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0232, loss_cls: 2.9625, loss_bbox: 1.5843, loss: 4.6212 +2022-09-02 02:00:03,171 - mmdet - INFO - Saving checkpoint at 4 epochs +2022-09-02 02:00:23,981 - mmdet - INFO - Epoch [5][50/7390] lr: 2.000e-02, eta: 5:29:01, time: 0.387, data_time: 0.070, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0230, loss_cls: 2.9600, loss_bbox: 1.5807, loss: 4.6154 +2022-09-02 02:00:40,620 - mmdet - INFO - Epoch [5][100/7390] lr: 2.000e-02, eta: 5:28:44, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0232, loss_cls: 2.9390, loss_bbox: 1.5836, loss: 4.5981 +2022-09-02 02:00:56,908 - mmdet - INFO - Epoch [5][150/7390] lr: 2.000e-02, eta: 5:28:26, time: 0.326, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0233, loss_cls: 2.9547, loss_bbox: 1.5797, loss: 4.6101 +2022-09-02 02:01:13,876 - mmdet - INFO - Epoch [5][200/7390] lr: 2.000e-02, eta: 5:28:10, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0234, loss_cls: 2.9527, loss_bbox: 1.5808, loss: 4.6088 +2022-09-02 02:01:30,832 - mmdet - INFO - Epoch [5][250/7390] lr: 2.000e-02, eta: 5:27:54, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0239, loss_cls: 2.9954, loss_bbox: 1.5894, loss: 4.6613 +2022-09-02 02:01:47,425 - mmdet - INFO - Epoch [5][300/7390] lr: 2.000e-02, eta: 5:27:37, time: 0.332, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0237, loss_cls: 2.9550, loss_bbox: 1.5845, loss: 4.6155 +2022-09-02 02:02:03,999 - mmdet - INFO - Epoch [5][350/7390] lr: 2.000e-02, eta: 5:27:20, time: 0.332, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0236, loss_cls: 2.9494, loss_bbox: 1.5855, loss: 4.6110 +2022-09-02 02:02:20,930 - mmdet - INFO - Epoch [5][400/7390] lr: 2.000e-02, eta: 5:27:04, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0236, loss_cls: 2.9275, loss_bbox: 1.5834, loss: 4.5870 +2022-09-02 02:02:38,101 - mmdet - INFO - Epoch [5][450/7390] lr: 2.000e-02, eta: 5:26:48, time: 0.343, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0242, loss_cls: 2.9623, loss_bbox: 1.5690, loss: 4.6082 +2022-09-02 02:02:54,990 - mmdet - INFO - Epoch [5][500/7390] lr: 2.000e-02, eta: 5:26:32, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0238, loss_cls: 2.9609, loss_bbox: 1.5876, loss: 4.6244 +2022-09-02 02:03:11,651 - mmdet - INFO - Epoch [5][550/7390] lr: 2.000e-02, eta: 5:26:15, time: 0.333, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0227, loss_cls: 2.9404, loss_bbox: 1.5837, loss: 4.5980 +2022-09-02 02:03:28,524 - mmdet - INFO - Epoch [5][600/7390] lr: 2.000e-02, eta: 5:25:58, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0231, loss_cls: 2.9649, loss_bbox: 1.5854, loss: 4.6251 +2022-09-02 02:03:45,485 - mmdet - INFO - Epoch [5][650/7390] lr: 2.000e-02, eta: 5:25:42, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 2.9684, loss_bbox: 1.5785, loss: 4.6232 +2022-09-02 02:04:02,545 - mmdet - INFO - Epoch [5][700/7390] lr: 2.000e-02, eta: 5:25:26, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0230, loss_cls: 2.9335, loss_bbox: 1.5867, loss: 4.5942 +2022-09-02 02:04:18,817 - mmdet - INFO - Epoch [5][750/7390] lr: 2.000e-02, eta: 5:25:08, time: 0.326, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0228, loss_cls: 2.9396, loss_bbox: 1.5884, loss: 4.6015 +2022-09-02 02:04:35,779 - mmdet - INFO - Epoch [5][800/7390] lr: 2.000e-02, eta: 5:24:52, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0239, loss_cls: 2.9670, loss_bbox: 1.5751, loss: 4.6187 +2022-09-02 02:04:52,804 - mmdet - INFO - Epoch [5][850/7390] lr: 2.000e-02, eta: 5:24:36, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0230, loss_cls: 2.9241, loss_bbox: 1.5758, loss: 4.5743 +2022-09-02 02:05:09,398 - mmdet - INFO - Epoch [5][900/7390] lr: 2.000e-02, eta: 5:24:19, time: 0.333, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0230, loss_cls: 2.9474, loss_bbox: 1.5808, loss: 4.6030 +2022-09-02 02:05:26,677 - mmdet - INFO - Epoch [5][950/7390] lr: 2.000e-02, eta: 5:24:04, time: 0.345, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0235, loss_cls: 2.9530, loss_bbox: 1.5792, loss: 4.6079 +2022-09-02 02:05:43,914 - mmdet - INFO - Epoch [5][1000/7390] lr: 2.000e-02, eta: 5:23:48, time: 0.344, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0238, loss_cls: 2.9440, loss_bbox: 1.5772, loss: 4.5979 +2022-09-02 02:06:00,858 - mmdet - INFO - Epoch [5][1050/7390] lr: 2.000e-02, eta: 5:23:32, time: 0.340, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0238, loss_cls: 2.9763, loss_bbox: 1.5861, loss: 4.6388 +2022-09-02 02:06:17,724 - mmdet - INFO - Epoch [5][1100/7390] lr: 2.000e-02, eta: 5:23:15, time: 0.337, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0233, loss_cls: 2.9364, loss_bbox: 1.5667, loss: 4.5788 +2022-09-02 02:06:34,837 - mmdet - INFO - Epoch [5][1150/7390] lr: 2.000e-02, eta: 5:22:59, time: 0.342, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0233, loss_cls: 2.9357, loss_bbox: 1.5868, loss: 4.5978 +2022-09-02 02:06:51,081 - mmdet - INFO - Epoch [5][1200/7390] lr: 2.000e-02, eta: 5:22:42, time: 0.325, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0224, loss_cls: 2.9357, loss_bbox: 1.5760, loss: 4.5845 +2022-09-02 02:07:07,979 - mmdet - INFO - Epoch [5][1250/7390] lr: 2.000e-02, eta: 5:22:25, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 2.9574, loss_bbox: 1.5793, loss: 4.6130 +2022-09-02 02:07:25,102 - mmdet - INFO - Epoch [5][1300/7390] lr: 2.000e-02, eta: 5:22:09, time: 0.342, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.9450, loss_bbox: 1.5858, loss: 4.6056 +2022-09-02 02:07:42,064 - mmdet - INFO - Epoch [5][1350/7390] lr: 2.000e-02, eta: 5:21:53, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0233, loss_cls: 2.9375, loss_bbox: 1.5749, loss: 4.5884 +2022-09-02 02:07:58,951 - mmdet - INFO - Epoch [5][1400/7390] lr: 2.000e-02, eta: 5:21:37, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0231, loss_cls: 2.9267, loss_bbox: 1.5797, loss: 4.5813 +2022-09-02 02:08:16,099 - mmdet - INFO - Epoch [5][1450/7390] lr: 2.000e-02, eta: 5:21:21, time: 0.343, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0232, loss_cls: 2.9381, loss_bbox: 1.5728, loss: 4.5851 +2022-09-02 02:08:33,167 - mmdet - INFO - Epoch [5][1500/7390] lr: 2.000e-02, eta: 5:21:05, time: 0.341, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0234, loss_cls: 2.9287, loss_bbox: 1.5878, loss: 4.5916 +2022-09-02 02:08:50,421 - mmdet - INFO - Epoch [5][1550/7390] lr: 2.000e-02, eta: 5:20:49, time: 0.345, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0235, loss_cls: 2.9410, loss_bbox: 1.5788, loss: 4.5956 +2022-09-02 02:09:07,048 - mmdet - INFO - Epoch [5][1600/7390] lr: 2.000e-02, eta: 5:20:32, time: 0.332, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0229, loss_cls: 2.9472, loss_bbox: 1.5831, loss: 4.6049 +2022-09-02 02:09:23,749 - mmdet - INFO - Epoch [5][1650/7390] lr: 2.000e-02, eta: 5:20:15, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0231, loss_cls: 2.9335, loss_bbox: 1.5705, loss: 4.5782 +2022-09-02 02:09:40,589 - mmdet - INFO - Epoch [5][1700/7390] lr: 2.000e-02, eta: 5:19:59, time: 0.337, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0232, loss_cls: 2.9360, loss_bbox: 1.5764, loss: 4.5871 +2022-09-02 02:09:57,476 - mmdet - INFO - Epoch [5][1750/7390] lr: 2.000e-02, eta: 5:19:42, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0235, loss_cls: 2.9455, loss_bbox: 1.5825, loss: 4.6038 +2022-09-02 02:10:14,756 - mmdet - INFO - Epoch [5][1800/7390] lr: 2.000e-02, eta: 5:19:27, time: 0.345, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0240, loss_cls: 2.9370, loss_bbox: 1.5611, loss: 4.5747 +2022-09-02 02:10:31,412 - mmdet - INFO - Epoch [5][1850/7390] lr: 2.000e-02, eta: 5:19:10, time: 0.333, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0233, loss_cls: 2.9534, loss_bbox: 1.5742, loss: 4.6030 +2022-09-02 02:10:48,182 - mmdet - INFO - Epoch [5][1900/7390] lr: 2.000e-02, eta: 5:18:53, time: 0.336, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0237, loss_cls: 2.9497, loss_bbox: 1.5738, loss: 4.5997 +2022-09-02 02:11:04,705 - mmdet - INFO - Epoch [5][1950/7390] lr: 2.000e-02, eta: 5:18:36, time: 0.331, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0227, loss_cls: 2.9403, loss_bbox: 1.5764, loss: 4.5899 +2022-09-02 02:11:21,241 - mmdet - INFO - Epoch [5][2000/7390] lr: 2.000e-02, eta: 5:18:19, time: 0.330, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0232, loss_cls: 2.9503, loss_bbox: 1.5803, loss: 4.6061 +2022-09-02 02:11:38,180 - mmdet - INFO - Epoch [5][2050/7390] lr: 2.000e-02, eta: 5:18:03, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0238, loss_cls: 2.9696, loss_bbox: 1.5729, loss: 4.6196 +2022-09-02 02:11:54,733 - mmdet - INFO - Epoch [5][2100/7390] lr: 2.000e-02, eta: 5:17:46, time: 0.331, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0228, loss_cls: 2.9355, loss_bbox: 1.5843, loss: 4.5942 +2022-09-02 02:12:12,052 - mmdet - INFO - Epoch [5][2150/7390] lr: 2.000e-02, eta: 5:17:30, time: 0.347, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0239, loss_cls: 2.9384, loss_bbox: 1.5860, loss: 4.6001 +2022-09-02 02:12:28,900 - mmdet - INFO - Epoch [5][2200/7390] lr: 2.000e-02, eta: 5:17:14, time: 0.336, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0241, loss_cls: 2.9697, loss_bbox: 1.5806, loss: 4.6277 +2022-09-02 02:12:45,912 - mmdet - INFO - Epoch [5][2250/7390] lr: 2.000e-02, eta: 5:16:57, time: 0.341, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0241, loss_cls: 2.9593, loss_bbox: 1.5930, loss: 4.6281 +2022-09-02 02:13:02,681 - mmdet - INFO - Epoch [5][2300/7390] lr: 2.000e-02, eta: 5:16:41, time: 0.336, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0229, loss_cls: 2.9398, loss_bbox: 1.5786, loss: 4.5930 +2022-09-02 02:13:18,772 - mmdet - INFO - Epoch [5][2350/7390] lr: 2.000e-02, eta: 5:16:23, time: 0.321, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0222, loss_cls: 2.9539, loss_bbox: 1.5867, loss: 4.6134 +2022-09-02 02:13:35,709 - mmdet - INFO - Epoch [5][2400/7390] lr: 2.000e-02, eta: 5:16:07, time: 0.339, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0236, loss_cls: 2.9593, loss_bbox: 1.5832, loss: 4.6184 +2022-09-02 02:13:52,719 - mmdet - INFO - Epoch [5][2450/7390] lr: 2.000e-02, eta: 5:15:50, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0238, loss_cls: 2.9598, loss_bbox: 1.5762, loss: 4.6125 +2022-09-02 02:14:09,865 - mmdet - INFO - Epoch [5][2500/7390] lr: 2.000e-02, eta: 5:15:34, time: 0.343, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0231, loss_cls: 2.9381, loss_bbox: 1.5889, loss: 4.6019 +2022-09-02 02:14:26,554 - mmdet - INFO - Epoch [5][2550/7390] lr: 2.000e-02, eta: 5:15:18, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0237, loss_cls: 2.9578, loss_bbox: 1.5822, loss: 4.6161 +2022-09-02 02:14:43,552 - mmdet - INFO - Epoch [5][2600/7390] lr: 2.000e-02, eta: 5:15:01, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0236, loss_cls: 2.9503, loss_bbox: 1.5705, loss: 4.5960 +2022-09-02 02:15:00,257 - mmdet - INFO - Epoch [5][2650/7390] lr: 2.000e-02, eta: 5:14:45, time: 0.334, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0235, loss_cls: 2.9568, loss_bbox: 1.5756, loss: 4.6091 +2022-09-02 02:15:17,264 - mmdet - INFO - Epoch [5][2700/7390] lr: 2.000e-02, eta: 5:14:28, time: 0.340, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0235, loss_cls: 2.9489, loss_bbox: 1.5746, loss: 4.5990 +2022-09-02 02:15:34,143 - mmdet - INFO - Epoch [5][2750/7390] lr: 2.000e-02, eta: 5:14:12, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0237, loss_cls: 2.9554, loss_bbox: 1.5837, loss: 4.6158 +2022-09-02 02:15:51,288 - mmdet - INFO - Epoch [5][2800/7390] lr: 2.000e-02, eta: 5:13:56, time: 0.343, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9366, loss_bbox: 1.5755, loss: 4.5876 +2022-09-02 02:16:08,229 - mmdet - INFO - Epoch [5][2850/7390] lr: 2.000e-02, eta: 5:13:40, time: 0.338, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0233, loss_cls: 2.9520, loss_bbox: 1.5747, loss: 4.6013 +2022-09-02 02:16:25,179 - mmdet - INFO - Epoch [5][2900/7390] lr: 2.000e-02, eta: 5:13:23, time: 0.339, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0238, loss_cls: 2.9513, loss_bbox: 1.5782, loss: 4.6059 +2022-09-02 02:16:42,345 - mmdet - INFO - Epoch [5][2950/7390] lr: 2.000e-02, eta: 5:13:07, time: 0.344, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0226, loss_cls: 2.9206, loss_bbox: 1.5897, loss: 4.5837 +2022-09-02 02:16:59,551 - mmdet - INFO - Epoch [5][3000/7390] lr: 2.000e-02, eta: 5:12:51, time: 0.344, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 2.9530, loss_bbox: 1.5825, loss: 4.6105 +2022-09-02 02:17:16,371 - mmdet - INFO - Epoch [5][3050/7390] lr: 2.000e-02, eta: 5:12:35, time: 0.337, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0229, loss_cls: 2.9381, loss_bbox: 1.5835, loss: 4.5961 +2022-09-02 02:17:32,958 - mmdet - INFO - Epoch [5][3100/7390] lr: 2.000e-02, eta: 5:12:18, time: 0.331, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0226, loss_cls: 2.9222, loss_bbox: 1.5734, loss: 4.5687 +2022-09-02 02:17:49,847 - mmdet - INFO - Epoch [5][3150/7390] lr: 2.000e-02, eta: 5:12:02, time: 0.338, data_time: 0.010, memory: 4133, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0238, loss_cls: 2.9517, loss_bbox: 1.5767, loss: 4.6053 +2022-09-02 02:18:06,299 - mmdet - INFO - Epoch [5][3200/7390] lr: 2.000e-02, eta: 5:11:44, time: 0.329, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0235, loss_cls: 2.9516, loss_bbox: 1.5798, loss: 4.6073 +2022-09-02 02:18:23,033 - mmdet - INFO - Epoch [5][3250/7390] lr: 2.000e-02, eta: 5:11:28, time: 0.334, data_time: 0.009, memory: 4133, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0233, loss_cls: 2.9686, loss_bbox: 1.5891, loss: 4.6334 +2022-09-02 02:18:40,211 - mmdet - INFO - Epoch [5][3300/7390] lr: 2.000e-02, eta: 5:11:12, time: 0.344, data_time: 0.010, memory: 4136, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0234, loss_cls: 2.9448, loss_bbox: 1.5816, loss: 4.6019 +2022-09-02 02:18:56,827 - mmdet - INFO - Epoch [5][3350/7390] lr: 2.000e-02, eta: 5:10:55, time: 0.333, data_time: 0.009, memory: 4136, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0234, loss_cls: 2.9674, loss_bbox: 1.5691, loss: 4.6124 +2022-09-02 02:19:13,557 - mmdet - INFO - Epoch [5][3400/7390] lr: 2.000e-02, eta: 5:10:38, time: 0.334, data_time: 0.009, memory: 4136, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0230, loss_cls: 2.9382, loss_bbox: 1.5736, loss: 4.5880 +2022-09-02 02:19:30,766 - mmdet - INFO - Epoch [5][3450/7390] lr: 2.000e-02, eta: 5:10:22, time: 0.345, data_time: 0.009, memory: 4136, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0241, loss_cls: 2.9604, loss_bbox: 1.5793, loss: 4.6167 +2022-09-02 02:19:47,201 - mmdet - INFO - Epoch [5][3500/7390] lr: 2.000e-02, eta: 5:10:05, time: 0.328, data_time: 0.009, memory: 4136, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0234, loss_cls: 2.9473, loss_bbox: 1.5782, loss: 4.6021 +2022-09-02 02:20:04,233 - mmdet - INFO - Epoch [5][3550/7390] lr: 2.000e-02, eta: 5:09:49, time: 0.340, data_time: 0.009, memory: 4136, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0228, loss_cls: 2.9538, loss_bbox: 1.5878, loss: 4.6158 +2022-09-02 02:20:21,736 - mmdet - INFO - Epoch [5][3600/7390] lr: 2.000e-02, eta: 5:09:33, time: 0.351, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0232, loss_cls: 2.9388, loss_bbox: 1.5757, loss: 4.5893 +2022-09-02 02:20:39,162 - mmdet - INFO - Epoch [5][3650/7390] lr: 2.000e-02, eta: 5:09:18, time: 0.348, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0243, loss_cls: 2.9566, loss_bbox: 1.5788, loss: 4.6138 +2022-09-02 02:20:55,744 - mmdet - INFO - Epoch [5][3700/7390] lr: 2.000e-02, eta: 5:09:01, time: 0.332, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0231, loss_cls: 2.9539, loss_bbox: 1.5772, loss: 4.6061 +2022-09-02 02:21:12,688 - mmdet - INFO - Epoch [5][3750/7390] lr: 2.000e-02, eta: 5:08:44, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9365, loss_bbox: 1.5766, loss: 4.5883 +2022-09-02 02:21:29,674 - mmdet - INFO - Epoch [5][3800/7390] lr: 2.000e-02, eta: 5:08:28, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0227, loss_cls: 2.9255, loss_bbox: 1.5805, loss: 4.5801 +2022-09-02 02:21:46,178 - mmdet - INFO - Epoch [5][3850/7390] lr: 2.000e-02, eta: 5:08:11, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0228, loss_cls: 2.9354, loss_bbox: 1.5742, loss: 4.5840 +2022-09-02 02:22:03,238 - mmdet - INFO - Epoch [5][3900/7390] lr: 2.000e-02, eta: 5:07:55, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0238, loss_cls: 2.9505, loss_bbox: 1.5736, loss: 4.6009 +2022-09-02 02:22:20,844 - mmdet - INFO - Epoch [5][3950/7390] lr: 2.000e-02, eta: 5:07:39, time: 0.352, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0236, loss_cls: 2.9584, loss_bbox: 1.5778, loss: 4.6119 +2022-09-02 02:22:37,941 - mmdet - INFO - Epoch [5][4000/7390] lr: 2.000e-02, eta: 5:07:23, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0230, loss_cls: 2.9316, loss_bbox: 1.5757, loss: 4.5820 +2022-09-02 02:22:55,001 - mmdet - INFO - Epoch [5][4050/7390] lr: 2.000e-02, eta: 5:07:07, time: 0.341, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.9382, loss_bbox: 1.5756, loss: 4.5874 +2022-09-02 02:23:12,002 - mmdet - INFO - Epoch [5][4100/7390] lr: 2.000e-02, eta: 5:06:51, time: 0.341, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.9418, loss_bbox: 1.5730, loss: 4.5895 +2022-09-02 02:23:28,967 - mmdet - INFO - Epoch [5][4150/7390] lr: 2.000e-02, eta: 5:06:34, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.9412, loss_bbox: 1.5722, loss: 4.5886 +2022-09-02 02:23:46,261 - mmdet - INFO - Epoch [5][4200/7390] lr: 2.000e-02, eta: 5:06:19, time: 0.347, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0238, loss_cls: 2.9407, loss_bbox: 1.5711, loss: 4.5882 +2022-09-02 02:24:03,095 - mmdet - INFO - Epoch [5][4250/7390] lr: 2.000e-02, eta: 5:06:02, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0226, loss_cls: 2.9333, loss_bbox: 1.5739, loss: 4.5803 +2022-09-02 02:24:20,456 - mmdet - INFO - Epoch [5][4300/7390] lr: 2.000e-02, eta: 5:05:46, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0237, loss_cls: 2.9465, loss_bbox: 1.5765, loss: 4.5995 +2022-09-02 02:24:37,389 - mmdet - INFO - Epoch [5][4350/7390] lr: 2.000e-02, eta: 5:05:30, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0235, loss_cls: 2.9690, loss_bbox: 1.5713, loss: 4.6158 +2022-09-02 02:24:53,952 - mmdet - INFO - Epoch [5][4400/7390] lr: 2.000e-02, eta: 5:05:13, time: 0.332, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0230, loss_cls: 2.9311, loss_bbox: 1.5670, loss: 4.5722 +2022-09-02 02:25:11,145 - mmdet - INFO - Epoch [5][4450/7390] lr: 2.000e-02, eta: 5:04:57, time: 0.344, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0236, loss_cls: 2.9403, loss_bbox: 1.5767, loss: 4.5930 +2022-09-02 02:25:27,570 - mmdet - INFO - Epoch [5][4500/7390] lr: 2.000e-02, eta: 5:04:40, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0228, loss_cls: 2.9296, loss_bbox: 1.5733, loss: 4.5779 +2022-09-02 02:25:44,290 - mmdet - INFO - Epoch [5][4550/7390] lr: 2.000e-02, eta: 5:04:23, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0227, loss_cls: 2.9303, loss_bbox: 1.5725, loss: 4.5760 +2022-09-02 02:26:01,461 - mmdet - INFO - Epoch [5][4600/7390] lr: 2.000e-02, eta: 5:04:07, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0239, loss_cls: 2.9627, loss_bbox: 1.5826, loss: 4.6218 +2022-09-02 02:26:18,295 - mmdet - INFO - Epoch [5][4650/7390] lr: 2.000e-02, eta: 5:03:50, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0234, loss_cls: 2.9447, loss_bbox: 1.5752, loss: 4.5956 +2022-09-02 02:26:35,126 - mmdet - INFO - Epoch [5][4700/7390] lr: 2.000e-02, eta: 5:03:34, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0235, loss_cls: 2.9302, loss_bbox: 1.5868, loss: 4.5930 +2022-09-02 02:26:52,457 - mmdet - INFO - Epoch [5][4750/7390] lr: 2.000e-02, eta: 5:03:18, time: 0.346, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0242, loss_cls: 2.9728, loss_bbox: 1.5811, loss: 4.6308 +2022-09-02 02:27:09,037 - mmdet - INFO - Epoch [5][4800/7390] lr: 2.000e-02, eta: 5:03:01, time: 0.332, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.9527, loss_bbox: 1.5735, loss: 4.6004 +2022-09-02 02:27:26,146 - mmdet - INFO - Epoch [5][4850/7390] lr: 2.000e-02, eta: 5:02:45, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0231, loss_cls: 2.8987, loss_bbox: 1.5646, loss: 4.5381 +2022-09-02 02:27:43,529 - mmdet - INFO - Epoch [5][4900/7390] lr: 2.000e-02, eta: 5:02:29, time: 0.347, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0238, loss_cls: 2.9491, loss_bbox: 1.5731, loss: 4.5987 +2022-09-02 02:28:00,000 - mmdet - INFO - Epoch [5][4950/7390] lr: 2.000e-02, eta: 5:02:12, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0228, loss_cls: 2.9317, loss_bbox: 1.5795, loss: 4.5856 +2022-09-02 02:28:16,970 - mmdet - INFO - Epoch [5][5000/7390] lr: 2.000e-02, eta: 5:01:56, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0235, loss_cls: 2.9267, loss_bbox: 1.5719, loss: 4.5742 +2022-09-02 02:28:34,111 - mmdet - INFO - Epoch [5][5050/7390] lr: 2.000e-02, eta: 5:01:39, time: 0.343, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0236, loss_cls: 2.9340, loss_bbox: 1.5798, loss: 4.5898 +2022-09-02 02:28:50,678 - mmdet - INFO - Epoch [5][5100/7390] lr: 2.000e-02, eta: 5:01:23, time: 0.332, data_time: 0.011, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0233, loss_cls: 2.9397, loss_bbox: 1.5688, loss: 4.5833 +2022-09-02 02:29:07,509 - mmdet - INFO - Epoch [5][5150/7390] lr: 2.000e-02, eta: 5:01:06, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0230, loss_cls: 2.9232, loss_bbox: 1.5758, loss: 4.5728 +2022-09-02 02:29:24,615 - mmdet - INFO - Epoch [5][5200/7390] lr: 2.000e-02, eta: 5:00:50, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0235, loss_cls: 2.9422, loss_bbox: 1.5819, loss: 4.5992 +2022-09-02 02:29:41,820 - mmdet - INFO - Epoch [5][5250/7390] lr: 2.000e-02, eta: 5:00:34, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0232, loss_cls: 2.9640, loss_bbox: 1.5710, loss: 4.6098 +2022-09-02 02:29:58,339 - mmdet - INFO - Epoch [5][5300/7390] lr: 2.000e-02, eta: 5:00:17, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0229, loss_cls: 2.9183, loss_bbox: 1.5770, loss: 4.5696 +2022-09-02 02:30:15,311 - mmdet - INFO - Epoch [5][5350/7390] lr: 2.000e-02, eta: 5:00:00, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0238, loss_cls: 2.9488, loss_bbox: 1.5665, loss: 4.5912 +2022-09-02 02:30:31,285 - mmdet - INFO - Epoch [5][5400/7390] lr: 2.000e-02, eta: 4:59:42, time: 0.319, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0225, loss_cls: 2.9344, loss_bbox: 1.5658, loss: 4.5730 +2022-09-02 02:30:48,307 - mmdet - INFO - Epoch [5][5450/7390] lr: 2.000e-02, eta: 4:59:26, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0239, loss_cls: 2.9451, loss_bbox: 1.5783, loss: 4.5999 +2022-09-02 02:31:04,995 - mmdet - INFO - Epoch [5][5500/7390] lr: 2.000e-02, eta: 4:59:09, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0227, loss_cls: 2.9335, loss_bbox: 1.5898, loss: 4.5965 +2022-09-02 02:31:21,660 - mmdet - INFO - Epoch [5][5550/7390] lr: 2.000e-02, eta: 4:58:52, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0233, loss_cls: 2.9561, loss_bbox: 1.5772, loss: 4.6091 +2022-09-02 02:31:37,778 - mmdet - INFO - Epoch [5][5600/7390] lr: 2.000e-02, eta: 4:58:35, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0227, loss_cls: 2.9403, loss_bbox: 1.5736, loss: 4.5876 +2022-09-02 02:31:55,157 - mmdet - INFO - Epoch [5][5650/7390] lr: 2.000e-02, eta: 4:58:19, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0237, loss_cls: 2.9397, loss_bbox: 1.5748, loss: 4.5907 +2022-09-02 02:32:12,250 - mmdet - INFO - Epoch [5][5700/7390] lr: 2.000e-02, eta: 4:58:03, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0234, loss_cls: 2.9352, loss_bbox: 1.5782, loss: 4.5880 +2022-09-02 02:32:29,301 - mmdet - INFO - Epoch [5][5750/7390] lr: 2.000e-02, eta: 4:57:47, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0242, loss_cls: 2.9496, loss_bbox: 1.5647, loss: 4.5911 +2022-09-02 02:32:45,948 - mmdet - INFO - Epoch [5][5800/7390] lr: 2.000e-02, eta: 4:57:30, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0230, loss_cls: 2.9190, loss_bbox: 1.5699, loss: 4.5635 +2022-09-02 02:33:02,757 - mmdet - INFO - Epoch [5][5850/7390] lr: 2.000e-02, eta: 4:57:13, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0233, loss_cls: 2.9365, loss_bbox: 1.5743, loss: 4.5857 +2022-09-02 02:33:19,388 - mmdet - INFO - Epoch [5][5900/7390] lr: 2.000e-02, eta: 4:56:56, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0232, loss_cls: 2.9551, loss_bbox: 1.5844, loss: 4.6148 +2022-09-02 02:33:36,349 - mmdet - INFO - Epoch [5][5950/7390] lr: 2.000e-02, eta: 4:56:40, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0230, loss_cls: 2.9295, loss_bbox: 1.5786, loss: 4.5830 +2022-09-02 02:33:53,044 - mmdet - INFO - Epoch [5][6000/7390] lr: 2.000e-02, eta: 4:56:23, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0233, loss_cls: 2.9314, loss_bbox: 1.5653, loss: 4.5720 +2022-09-02 02:34:10,123 - mmdet - INFO - Epoch [5][6050/7390] lr: 2.000e-02, eta: 4:56:07, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0237, loss_cls: 2.9524, loss_bbox: 1.5752, loss: 4.6035 +2022-09-02 02:34:26,392 - mmdet - INFO - Epoch [5][6100/7390] lr: 2.000e-02, eta: 4:55:49, time: 0.325, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0225, loss_cls: 2.9198, loss_bbox: 1.5706, loss: 4.5633 +2022-09-02 02:34:43,352 - mmdet - INFO - Epoch [5][6150/7390] lr: 2.000e-02, eta: 4:55:33, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0230, loss_cls: 2.9271, loss_bbox: 1.5602, loss: 4.5611 +2022-09-02 02:35:00,522 - mmdet - INFO - Epoch [5][6200/7390] lr: 2.000e-02, eta: 4:55:17, time: 0.344, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0237, loss_cls: 2.9537, loss_bbox: 1.5689, loss: 4.5979 +2022-09-02 02:35:17,334 - mmdet - INFO - Epoch [5][6250/7390] lr: 2.000e-02, eta: 4:55:00, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0234, loss_cls: 2.9250, loss_bbox: 1.5727, loss: 4.5739 +2022-09-02 02:35:34,442 - mmdet - INFO - Epoch [5][6300/7390] lr: 2.000e-02, eta: 4:54:44, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0236, loss_cls: 2.9476, loss_bbox: 1.5727, loss: 4.5957 +2022-09-02 02:35:50,740 - mmdet - INFO - Epoch [5][6350/7390] lr: 2.000e-02, eta: 4:54:26, time: 0.326, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0229, loss_cls: 2.9274, loss_bbox: 1.5680, loss: 4.5692 +2022-09-02 02:36:07,271 - mmdet - INFO - Epoch [5][6400/7390] lr: 2.000e-02, eta: 4:54:09, time: 0.331, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0231, loss_cls: 2.9389, loss_bbox: 1.5707, loss: 4.5840 +2022-09-02 02:36:23,714 - mmdet - INFO - Epoch [5][6450/7390] lr: 2.000e-02, eta: 4:53:52, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0235, loss_cls: 2.9231, loss_bbox: 1.5752, loss: 4.5745 +2022-09-02 02:36:40,977 - mmdet - INFO - Epoch [5][6500/7390] lr: 2.000e-02, eta: 4:53:36, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0236, loss_cls: 2.9263, loss_bbox: 1.5723, loss: 4.5744 +2022-09-02 02:36:57,710 - mmdet - INFO - Epoch [5][6550/7390] lr: 2.000e-02, eta: 4:53:20, time: 0.335, data_time: 0.011, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0228, loss_cls: 2.9201, loss_bbox: 1.5694, loss: 4.5632 +2022-09-02 02:37:14,808 - mmdet - INFO - Epoch [5][6600/7390] lr: 2.000e-02, eta: 4:53:03, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0229, loss_cls: 2.9296, loss_bbox: 1.5819, loss: 4.5858 +2022-09-02 02:37:31,790 - mmdet - INFO - Epoch [5][6650/7390] lr: 2.000e-02, eta: 4:52:47, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0241, loss_cls: 2.9497, loss_bbox: 1.5749, loss: 4.6026 +2022-09-02 02:37:48,271 - mmdet - INFO - Epoch [5][6700/7390] lr: 2.000e-02, eta: 4:52:30, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0233, loss_cls: 2.9173, loss_bbox: 1.5726, loss: 4.5642 +2022-09-02 02:38:05,215 - mmdet - INFO - Epoch [5][6750/7390] lr: 2.000e-02, eta: 4:52:13, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0230, loss_cls: 2.9240, loss_bbox: 1.5732, loss: 4.5714 +2022-09-02 02:38:22,411 - mmdet - INFO - Epoch [5][6800/7390] lr: 2.000e-02, eta: 4:51:57, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0237, loss_cls: 2.9481, loss_bbox: 1.5720, loss: 4.5955 +2022-09-02 02:38:39,122 - mmdet - INFO - Epoch [5][6850/7390] lr: 2.000e-02, eta: 4:51:40, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0232, loss_cls: 2.9251, loss_bbox: 1.5643, loss: 4.5645 +2022-09-02 02:38:55,884 - mmdet - INFO - Epoch [5][6900/7390] lr: 2.000e-02, eta: 4:51:24, time: 0.336, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0231, loss_cls: 2.9308, loss_bbox: 1.5594, loss: 4.5655 +2022-09-02 02:39:12,774 - mmdet - INFO - Epoch [5][6950/7390] lr: 2.000e-02, eta: 4:51:07, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0533, loss_rpn_bbox: 0.0239, loss_cls: 2.9536, loss_bbox: 1.5769, loss: 4.6077 +2022-09-02 02:39:30,134 - mmdet - INFO - Epoch [5][7000/7390] lr: 2.000e-02, eta: 4:50:51, time: 0.347, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0234, loss_cls: 2.9487, loss_bbox: 1.5750, loss: 4.5988 +2022-09-02 02:39:46,613 - mmdet - INFO - Epoch [5][7050/7390] lr: 2.000e-02, eta: 4:50:34, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0222, loss_cls: 2.9140, loss_bbox: 1.5747, loss: 4.5614 +2022-09-02 02:40:03,513 - mmdet - INFO - Epoch [5][7100/7390] lr: 2.000e-02, eta: 4:50:18, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.9319, loss_bbox: 1.5668, loss: 4.5730 +2022-09-02 02:40:20,725 - mmdet - INFO - Epoch [5][7150/7390] lr: 2.000e-02, eta: 4:50:02, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0240, loss_cls: 2.9546, loss_bbox: 1.5696, loss: 4.6010 +2022-09-02 02:40:37,698 - mmdet - INFO - Epoch [5][7200/7390] lr: 2.000e-02, eta: 4:49:45, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0237, loss_cls: 2.9428, loss_bbox: 1.5859, loss: 4.6046 +2022-09-02 02:40:54,146 - mmdet - INFO - Epoch [5][7250/7390] lr: 2.000e-02, eta: 4:49:28, time: 0.329, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0225, loss_cls: 2.9266, loss_bbox: 1.5631, loss: 4.5633 +2022-09-02 02:41:11,409 - mmdet - INFO - Epoch [5][7300/7390] lr: 2.000e-02, eta: 4:49:12, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0239, loss_cls: 2.9388, loss_bbox: 1.5634, loss: 4.5781 +2022-09-02 02:41:28,297 - mmdet - INFO - Epoch [5][7350/7390] lr: 2.000e-02, eta: 4:48:56, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.9087, loss_bbox: 1.5622, loss: 4.5443 +2022-09-02 02:41:41,882 - mmdet - INFO - Saving checkpoint at 5 epochs +2022-09-02 02:42:03,189 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:42:03,190 - mmdet - INFO - Epoch [6][50/7390] lr: 2.000e-02, eta: 4:48:11, time: 0.398, data_time: 0.070, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0232, loss_cls: 2.9411, loss_bbox: 1.5719, loss: 4.5875 +2022-09-02 02:42:20,117 - mmdet - INFO - Epoch [6][100/7390] lr: 2.000e-02, eta: 4:47:55, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0231, loss_cls: 2.9380, loss_bbox: 1.5608, loss: 4.5731 +2022-09-02 02:42:37,062 - mmdet - INFO - Epoch [6][150/7390] lr: 2.000e-02, eta: 4:47:38, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0235, loss_cls: 2.9448, loss_bbox: 1.5665, loss: 4.5872 +2022-09-02 02:42:53,801 - mmdet - INFO - Epoch [6][200/7390] lr: 2.000e-02, eta: 4:47:21, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0233, loss_cls: 2.9292, loss_bbox: 1.5796, loss: 4.5848 +2022-09-02 02:43:10,561 - mmdet - INFO - Epoch [6][250/7390] lr: 2.000e-02, eta: 4:47:05, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0238, loss_cls: 2.9351, loss_bbox: 1.5714, loss: 4.5828 +2022-09-02 02:43:26,955 - mmdet - INFO - Epoch [6][300/7390] lr: 2.000e-02, eta: 4:46:48, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0230, loss_cls: 2.9322, loss_bbox: 1.5711, loss: 4.5779 +2022-09-02 02:43:43,956 - mmdet - INFO - Epoch [6][350/7390] lr: 2.000e-02, eta: 4:46:31, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0230, loss_cls: 2.9151, loss_bbox: 1.5705, loss: 4.5606 +2022-09-02 02:44:00,727 - mmdet - INFO - Epoch [6][400/7390] lr: 2.000e-02, eta: 4:46:15, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0227, loss_cls: 2.9145, loss_bbox: 1.5614, loss: 4.5484 +2022-09-02 02:44:18,418 - mmdet - INFO - Epoch [6][450/7390] lr: 2.000e-02, eta: 4:45:59, time: 0.354, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0233, loss_cls: 2.9251, loss_bbox: 1.5756, loss: 4.5756 +2022-09-02 02:44:35,414 - mmdet - INFO - Epoch [6][500/7390] lr: 2.000e-02, eta: 4:45:43, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0238, loss_cls: 2.9297, loss_bbox: 1.5657, loss: 4.5720 +2022-09-02 02:44:52,386 - mmdet - INFO - Epoch [6][550/7390] lr: 2.000e-02, eta: 4:45:26, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0234, loss_cls: 2.9371, loss_bbox: 1.5735, loss: 4.5852 +2022-09-02 02:45:09,726 - mmdet - INFO - Epoch [6][600/7390] lr: 2.000e-02, eta: 4:45:10, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 2.9505, loss_bbox: 1.5732, loss: 4.5999 +2022-09-02 02:45:26,415 - mmdet - INFO - Epoch [6][650/7390] lr: 2.000e-02, eta: 4:44:54, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0231, loss_cls: 2.9459, loss_bbox: 1.5859, loss: 4.6067 +2022-09-02 02:45:43,235 - mmdet - INFO - Epoch [6][700/7390] lr: 2.000e-02, eta: 4:44:37, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 2.9401, loss_bbox: 1.5644, loss: 4.5808 +2022-09-02 02:45:59,765 - mmdet - INFO - Epoch [6][750/7390] lr: 2.000e-02, eta: 4:44:20, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0235, loss_cls: 2.9313, loss_bbox: 1.5737, loss: 4.5808 +2022-09-02 02:46:16,203 - mmdet - INFO - Epoch [6][800/7390] lr: 2.000e-02, eta: 4:44:03, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0232, loss_cls: 2.9422, loss_bbox: 1.5748, loss: 4.5918 +2022-09-02 02:46:32,777 - mmdet - INFO - Epoch [6][850/7390] lr: 2.000e-02, eta: 4:43:46, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0226, loss_cls: 2.8943, loss_bbox: 1.5710, loss: 4.5387 +2022-09-02 02:46:49,799 - mmdet - INFO - Epoch [6][900/7390] lr: 2.000e-02, eta: 4:43:30, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9302, loss_bbox: 1.5605, loss: 4.5662 +2022-09-02 02:47:06,672 - mmdet - INFO - Epoch [6][950/7390] lr: 2.000e-02, eta: 4:43:13, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9394, loss_bbox: 1.5825, loss: 4.5967 +2022-09-02 02:47:23,746 - mmdet - INFO - Epoch [6][1000/7390] lr: 2.000e-02, eta: 4:42:57, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0237, loss_cls: 2.9136, loss_bbox: 1.5674, loss: 4.5576 +2022-09-02 02:47:40,221 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:47:40,221 - mmdet - INFO - Epoch [6][1050/7390] lr: 2.000e-02, eta: 4:42:40, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0226, loss_cls: 2.9221, loss_bbox: 1.5832, loss: 4.5788 +2022-09-02 02:47:57,187 - mmdet - INFO - Epoch [6][1100/7390] lr: 2.000e-02, eta: 4:42:23, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0233, loss_cls: 2.9403, loss_bbox: 1.5726, loss: 4.5878 +2022-09-02 02:48:13,951 - mmdet - INFO - Epoch [6][1150/7390] lr: 2.000e-02, eta: 4:42:07, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0237, loss_cls: 2.9334, loss_bbox: 1.5672, loss: 4.5773 +2022-09-02 02:48:30,722 - mmdet - INFO - Epoch [6][1200/7390] lr: 2.000e-02, eta: 4:41:50, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.9412, loss_bbox: 1.5840, loss: 4.5999 +2022-09-02 02:48:47,643 - mmdet - INFO - Epoch [6][1250/7390] lr: 2.000e-02, eta: 4:41:33, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0236, loss_cls: 2.9485, loss_bbox: 1.5636, loss: 4.5872 +2022-09-02 02:49:03,952 - mmdet - INFO - Epoch [6][1300/7390] lr: 2.000e-02, eta: 4:41:16, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0227, loss_cls: 2.9194, loss_bbox: 1.5812, loss: 4.5740 +2022-09-02 02:49:20,514 - mmdet - INFO - Epoch [6][1350/7390] lr: 2.000e-02, eta: 4:40:59, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0233, loss_cls: 2.9412, loss_bbox: 1.5823, loss: 4.5990 +2022-09-02 02:49:37,326 - mmdet - INFO - Epoch [6][1400/7390] lr: 2.000e-02, eta: 4:40:43, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0234, loss_cls: 2.9206, loss_bbox: 1.5731, loss: 4.5686 +2022-09-02 02:49:54,741 - mmdet - INFO - Epoch [6][1450/7390] lr: 2.000e-02, eta: 4:40:27, time: 0.349, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0239, loss_cls: 2.9416, loss_bbox: 1.5650, loss: 4.5820 +2022-09-02 02:50:11,643 - mmdet - INFO - Epoch [6][1500/7390] lr: 2.000e-02, eta: 4:40:10, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9182, loss_bbox: 1.5622, loss: 4.5557 +2022-09-02 02:50:28,537 - mmdet - INFO - Epoch [6][1550/7390] lr: 2.000e-02, eta: 4:39:54, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0232, loss_cls: 2.9130, loss_bbox: 1.5690, loss: 4.5570 +2022-09-02 02:50:45,059 - mmdet - INFO - Epoch [6][1600/7390] lr: 2.000e-02, eta: 4:39:37, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0230, loss_cls: 2.9312, loss_bbox: 1.5726, loss: 4.5786 +2022-09-02 02:51:02,311 - mmdet - INFO - Epoch [6][1650/7390] lr: 2.000e-02, eta: 4:39:21, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 2.9286, loss_bbox: 1.5779, loss: 4.5827 +2022-09-02 02:51:19,309 - mmdet - INFO - Epoch [6][1700/7390] lr: 2.000e-02, eta: 4:39:04, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0232, loss_cls: 2.9325, loss_bbox: 1.5648, loss: 4.5708 +2022-09-02 02:51:35,927 - mmdet - INFO - Epoch [6][1750/7390] lr: 2.000e-02, eta: 4:38:47, time: 0.332, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9396, loss_bbox: 1.5683, loss: 4.5827 +2022-09-02 02:51:52,804 - mmdet - INFO - Epoch [6][1800/7390] lr: 2.000e-02, eta: 4:38:31, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0238, loss_cls: 2.9208, loss_bbox: 1.5642, loss: 4.5605 +2022-09-02 02:52:09,788 - mmdet - INFO - Epoch [6][1850/7390] lr: 2.000e-02, eta: 4:38:14, time: 0.341, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0239, loss_cls: 2.9213, loss_bbox: 1.5619, loss: 4.5595 +2022-09-02 02:52:25,856 - mmdet - INFO - Epoch [6][1900/7390] lr: 2.000e-02, eta: 4:37:57, time: 0.321, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0227, loss_cls: 2.9112, loss_bbox: 1.5698, loss: 4.5551 +2022-09-02 02:52:42,608 - mmdet - INFO - Epoch [6][1950/7390] lr: 2.000e-02, eta: 4:37:40, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0225, loss_cls: 2.9191, loss_bbox: 1.5833, loss: 4.5756 +2022-09-02 02:53:00,558 - mmdet - INFO - Epoch [6][2000/7390] lr: 2.000e-02, eta: 4:37:25, time: 0.359, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0246, loss_cls: 2.9598, loss_bbox: 1.5750, loss: 4.6124 +2022-09-02 02:53:17,215 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:53:17,215 - mmdet - INFO - Epoch [6][2050/7390] lr: 2.000e-02, eta: 4:37:08, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.9476, loss_bbox: 1.5677, loss: 4.5901 +2022-09-02 02:53:33,864 - mmdet - INFO - Epoch [6][2100/7390] lr: 2.000e-02, eta: 4:36:51, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0227, loss_cls: 2.9205, loss_bbox: 1.5727, loss: 4.5667 +2022-09-02 02:53:50,827 - mmdet - INFO - Epoch [6][2150/7390] lr: 2.000e-02, eta: 4:36:35, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0233, loss_cls: 2.9222, loss_bbox: 1.5639, loss: 4.5609 +2022-09-02 02:54:07,815 - mmdet - INFO - Epoch [6][2200/7390] lr: 2.000e-02, eta: 4:36:18, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0231, loss_cls: 2.9373, loss_bbox: 1.5772, loss: 4.5891 +2022-09-02 02:54:24,650 - mmdet - INFO - Epoch [6][2250/7390] lr: 2.000e-02, eta: 4:36:02, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 2.9355, loss_bbox: 1.5682, loss: 4.5786 +2022-09-02 02:54:41,506 - mmdet - INFO - Epoch [6][2300/7390] lr: 2.000e-02, eta: 4:35:45, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 2.9558, loss_bbox: 1.5664, loss: 4.5980 +2022-09-02 02:54:58,402 - mmdet - INFO - Epoch [6][2350/7390] lr: 2.000e-02, eta: 4:35:29, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9408, loss_bbox: 1.5753, loss: 4.5917 +2022-09-02 02:55:15,573 - mmdet - INFO - Epoch [6][2400/7390] lr: 2.000e-02, eta: 4:35:12, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.9463, loss_bbox: 1.5645, loss: 4.5858 +2022-09-02 02:55:32,323 - mmdet - INFO - Epoch [6][2450/7390] lr: 2.000e-02, eta: 4:34:56, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0234, loss_cls: 2.9326, loss_bbox: 1.5813, loss: 4.5885 +2022-09-02 02:55:48,708 - mmdet - INFO - Epoch [6][2500/7390] lr: 2.000e-02, eta: 4:34:38, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0223, loss_cls: 2.9099, loss_bbox: 1.5753, loss: 4.5572 +2022-09-02 02:56:05,326 - mmdet - INFO - Epoch [6][2550/7390] lr: 2.000e-02, eta: 4:34:22, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0231, loss_cls: 2.9380, loss_bbox: 1.5710, loss: 4.5829 +2022-09-02 02:56:22,423 - mmdet - INFO - Epoch [6][2600/7390] lr: 2.000e-02, eta: 4:34:05, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0237, loss_cls: 2.9272, loss_bbox: 1.5614, loss: 4.5648 +2022-09-02 02:56:38,954 - mmdet - INFO - Epoch [6][2650/7390] lr: 2.000e-02, eta: 4:33:48, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0225, loss_cls: 2.9242, loss_bbox: 1.5674, loss: 4.5654 +2022-09-02 02:56:55,482 - mmdet - INFO - Epoch [6][2700/7390] lr: 2.000e-02, eta: 4:33:31, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0229, loss_cls: 2.9190, loss_bbox: 1.5707, loss: 4.5636 +2022-09-02 02:57:12,258 - mmdet - INFO - Epoch [6][2750/7390] lr: 2.000e-02, eta: 4:33:15, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0238, loss_cls: 2.9391, loss_bbox: 1.5770, loss: 4.5924 +2022-09-02 02:57:29,309 - mmdet - INFO - Epoch [6][2800/7390] lr: 2.000e-02, eta: 4:32:58, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0231, loss_cls: 2.9213, loss_bbox: 1.5678, loss: 4.5633 +2022-09-02 02:57:45,790 - mmdet - INFO - Epoch [6][2850/7390] lr: 2.000e-02, eta: 4:32:41, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0227, loss_cls: 2.9494, loss_bbox: 1.5810, loss: 4.6032 +2022-09-02 02:58:02,805 - mmdet - INFO - Epoch [6][2900/7390] lr: 2.000e-02, eta: 4:32:25, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0230, loss_cls: 2.9275, loss_bbox: 1.5729, loss: 4.5748 +2022-09-02 02:58:19,549 - mmdet - INFO - Epoch [6][2950/7390] lr: 2.000e-02, eta: 4:32:08, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0234, loss_cls: 2.9440, loss_bbox: 1.5712, loss: 4.5906 +2022-09-02 02:58:36,633 - mmdet - INFO - Epoch [6][3000/7390] lr: 2.000e-02, eta: 4:31:52, time: 0.343, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0236, loss_cls: 2.9344, loss_bbox: 1.5690, loss: 4.5793 +2022-09-02 02:58:53,164 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:58:53,165 - mmdet - INFO - Epoch [6][3050/7390] lr: 2.000e-02, eta: 4:31:35, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0225, loss_cls: 2.9182, loss_bbox: 1.5783, loss: 4.5692 +2022-09-02 02:59:10,179 - mmdet - INFO - Epoch [6][3100/7390] lr: 2.000e-02, eta: 4:31:18, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0239, loss_cls: 2.9459, loss_bbox: 1.5667, loss: 4.5881 +2022-09-02 02:59:26,908 - mmdet - INFO - Epoch [6][3150/7390] lr: 2.000e-02, eta: 4:31:02, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0229, loss_cls: 2.9302, loss_bbox: 1.5601, loss: 4.5644 +2022-09-02 02:59:43,776 - mmdet - INFO - Epoch [6][3200/7390] lr: 2.000e-02, eta: 4:30:45, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0240, loss_cls: 2.9245, loss_bbox: 1.5681, loss: 4.5694 +2022-09-02 03:00:00,913 - mmdet - INFO - Epoch [6][3250/7390] lr: 2.000e-02, eta: 4:30:29, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0241, loss_cls: 2.9416, loss_bbox: 1.5644, loss: 4.5827 +2022-09-02 03:00:17,345 - mmdet - INFO - Epoch [6][3300/7390] lr: 2.000e-02, eta: 4:30:12, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0230, loss_cls: 2.9306, loss_bbox: 1.5731, loss: 4.5777 +2022-09-02 03:00:34,232 - mmdet - INFO - Epoch [6][3350/7390] lr: 2.000e-02, eta: 4:29:55, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.9416, loss_bbox: 1.5765, loss: 4.5934 +2022-09-02 03:00:50,722 - mmdet - INFO - Epoch [6][3400/7390] lr: 2.000e-02, eta: 4:29:38, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 2.9325, loss_bbox: 1.5687, loss: 4.5748 +2022-09-02 03:01:07,838 - mmdet - INFO - Epoch [6][3450/7390] lr: 2.000e-02, eta: 4:29:22, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0235, loss_cls: 2.9177, loss_bbox: 1.5677, loss: 4.5602 +2022-09-02 03:01:24,558 - mmdet - INFO - Epoch [6][3500/7390] lr: 2.000e-02, eta: 4:29:05, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 2.9315, loss_bbox: 1.5676, loss: 4.5727 +2022-09-02 03:01:41,475 - mmdet - INFO - Epoch [6][3550/7390] lr: 2.000e-02, eta: 4:28:49, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0229, loss_cls: 2.9103, loss_bbox: 1.5647, loss: 4.5489 +2022-09-02 03:01:58,194 - mmdet - INFO - Epoch [6][3600/7390] lr: 2.000e-02, eta: 4:28:32, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0231, loss_cls: 2.9309, loss_bbox: 1.5682, loss: 4.5731 +2022-09-02 03:02:14,623 - mmdet - INFO - Epoch [6][3650/7390] lr: 2.000e-02, eta: 4:28:15, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0230, loss_cls: 2.9302, loss_bbox: 1.5722, loss: 4.5771 +2022-09-02 03:02:30,863 - mmdet - INFO - Epoch [6][3700/7390] lr: 2.000e-02, eta: 4:27:57, time: 0.325, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.9248, loss_bbox: 1.5652, loss: 4.5645 +2022-09-02 03:02:47,490 - mmdet - INFO - Epoch [6][3750/7390] lr: 2.000e-02, eta: 4:27:41, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0232, loss_cls: 2.9254, loss_bbox: 1.5773, loss: 4.5774 +2022-09-02 03:03:04,486 - mmdet - INFO - Epoch [6][3800/7390] lr: 2.000e-02, eta: 4:27:24, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0234, loss_cls: 2.9336, loss_bbox: 1.5754, loss: 4.5834 +2022-09-02 03:03:21,513 - mmdet - INFO - Epoch [6][3850/7390] lr: 2.000e-02, eta: 4:27:08, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0231, loss_cls: 2.9220, loss_bbox: 1.5657, loss: 4.5612 +2022-09-02 03:03:38,073 - mmdet - INFO - Epoch [6][3900/7390] lr: 2.000e-02, eta: 4:26:51, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0224, loss_cls: 2.9231, loss_bbox: 1.5739, loss: 4.5691 +2022-09-02 03:03:54,574 - mmdet - INFO - Epoch [6][3950/7390] lr: 2.000e-02, eta: 4:26:34, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0227, loss_cls: 2.9174, loss_bbox: 1.5670, loss: 4.5582 +2022-09-02 03:04:11,736 - mmdet - INFO - Epoch [6][4000/7390] lr: 2.000e-02, eta: 4:26:17, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9219, loss_bbox: 1.5703, loss: 4.5670 +2022-09-02 03:04:28,731 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:04:28,731 - mmdet - INFO - Epoch [6][4050/7390] lr: 2.000e-02, eta: 4:26:01, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0236, loss_cls: 2.9335, loss_bbox: 1.5747, loss: 4.5829 +2022-09-02 03:04:45,589 - mmdet - INFO - Epoch [6][4100/7390] lr: 2.000e-02, eta: 4:25:44, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9415, loss_bbox: 1.5655, loss: 4.5822 +2022-09-02 03:05:02,089 - mmdet - INFO - Epoch [6][4150/7390] lr: 2.000e-02, eta: 4:25:27, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0232, loss_cls: 2.9305, loss_bbox: 1.5671, loss: 4.5730 +2022-09-02 03:05:18,777 - mmdet - INFO - Epoch [6][4200/7390] lr: 2.000e-02, eta: 4:25:11, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0229, loss_cls: 2.9156, loss_bbox: 1.5701, loss: 4.5600 +2022-09-02 03:05:35,567 - mmdet - INFO - Epoch [6][4250/7390] lr: 2.000e-02, eta: 4:24:54, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.9269, loss_bbox: 1.5688, loss: 4.5710 +2022-09-02 03:05:52,649 - mmdet - INFO - Epoch [6][4300/7390] lr: 2.000e-02, eta: 4:24:38, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0238, loss_cls: 2.9207, loss_bbox: 1.5614, loss: 4.5586 +2022-09-02 03:06:09,315 - mmdet - INFO - Epoch [6][4350/7390] lr: 2.000e-02, eta: 4:24:21, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0227, loss_cls: 2.9118, loss_bbox: 1.5783, loss: 4.5647 +2022-09-02 03:06:26,216 - mmdet - INFO - Epoch [6][4400/7390] lr: 2.000e-02, eta: 4:24:04, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9187, loss_bbox: 1.5581, loss: 4.5522 +2022-09-02 03:06:42,716 - mmdet - INFO - Epoch [6][4450/7390] lr: 2.000e-02, eta: 4:23:47, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0232, loss_cls: 2.9397, loss_bbox: 1.5645, loss: 4.5789 +2022-09-02 03:06:59,714 - mmdet - INFO - Epoch [6][4500/7390] lr: 2.000e-02, eta: 4:23:31, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0237, loss_cls: 2.9333, loss_bbox: 1.5671, loss: 4.5764 +2022-09-02 03:07:16,702 - mmdet - INFO - Epoch [6][4550/7390] lr: 2.000e-02, eta: 4:23:14, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0227, loss_cls: 2.8961, loss_bbox: 1.5548, loss: 4.5245 +2022-09-02 03:07:33,563 - mmdet - INFO - Epoch [6][4600/7390] lr: 2.000e-02, eta: 4:22:58, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0230, loss_cls: 2.9247, loss_bbox: 1.5620, loss: 4.5615 +2022-09-02 03:07:50,884 - mmdet - INFO - Epoch [6][4650/7390] lr: 2.000e-02, eta: 4:22:42, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.9199, loss_bbox: 1.5720, loss: 4.5672 +2022-09-02 03:08:07,947 - mmdet - INFO - Epoch [6][4700/7390] lr: 2.000e-02, eta: 4:22:25, time: 0.341, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0238, loss_cls: 2.9376, loss_bbox: 1.5756, loss: 4.5882 +2022-09-02 03:08:24,645 - mmdet - INFO - Epoch [6][4750/7390] lr: 2.000e-02, eta: 4:22:08, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0226, loss_cls: 2.9077, loss_bbox: 1.5721, loss: 4.5535 +2022-09-02 03:08:41,542 - mmdet - INFO - Epoch [6][4800/7390] lr: 2.000e-02, eta: 4:21:52, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0231, loss_cls: 2.9207, loss_bbox: 1.5708, loss: 4.5661 +2022-09-02 03:08:57,947 - mmdet - INFO - Epoch [6][4850/7390] lr: 2.000e-02, eta: 4:21:35, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0220, loss_cls: 2.8914, loss_bbox: 1.5694, loss: 4.5325 +2022-09-02 03:09:14,722 - mmdet - INFO - Epoch [6][4900/7390] lr: 2.000e-02, eta: 4:21:18, time: 0.335, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0223, loss_cls: 2.8961, loss_bbox: 1.5722, loss: 4.5422 +2022-09-02 03:09:31,269 - mmdet - INFO - Epoch [6][4950/7390] lr: 2.000e-02, eta: 4:21:01, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0230, loss_cls: 2.9128, loss_bbox: 1.5738, loss: 4.5612 +2022-09-02 03:09:48,171 - mmdet - INFO - Epoch [6][5000/7390] lr: 2.000e-02, eta: 4:20:45, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0238, loss_cls: 2.9302, loss_bbox: 1.5699, loss: 4.5760 +2022-09-02 03:10:04,906 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:10:04,907 - mmdet - INFO - Epoch [6][5050/7390] lr: 2.000e-02, eta: 4:20:28, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0231, loss_cls: 2.9312, loss_bbox: 1.5688, loss: 4.5746 +2022-09-02 03:10:21,785 - mmdet - INFO - Epoch [6][5100/7390] lr: 2.000e-02, eta: 4:20:11, time: 0.337, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0234, loss_cls: 2.9134, loss_bbox: 1.5659, loss: 4.5546 +2022-09-02 03:10:38,923 - mmdet - INFO - Epoch [6][5150/7390] lr: 2.000e-02, eta: 4:19:55, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 2.9247, loss_bbox: 1.5698, loss: 4.5703 +2022-09-02 03:10:56,015 - mmdet - INFO - Epoch [6][5200/7390] lr: 2.000e-02, eta: 4:19:39, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0245, loss_cls: 2.9305, loss_bbox: 1.5629, loss: 4.5717 +2022-09-02 03:11:12,694 - mmdet - INFO - Epoch [6][5250/7390] lr: 2.000e-02, eta: 4:19:22, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0229, loss_cls: 2.9238, loss_bbox: 1.5662, loss: 4.5640 +2022-09-02 03:11:29,817 - mmdet - INFO - Epoch [6][5300/7390] lr: 2.000e-02, eta: 4:19:05, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0233, loss_cls: 2.9107, loss_bbox: 1.5618, loss: 4.5476 +2022-09-02 03:11:46,849 - mmdet - INFO - Epoch [6][5350/7390] lr: 2.000e-02, eta: 4:18:49, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0233, loss_cls: 2.9330, loss_bbox: 1.5752, loss: 4.5837 +2022-09-02 03:12:04,211 - mmdet - INFO - Epoch [6][5400/7390] lr: 2.000e-02, eta: 4:18:33, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0235, loss_cls: 2.9441, loss_bbox: 1.5711, loss: 4.5907 +2022-09-02 03:12:21,291 - mmdet - INFO - Epoch [6][5450/7390] lr: 2.000e-02, eta: 4:18:17, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0241, loss_cls: 2.9555, loss_bbox: 1.5662, loss: 4.5981 +2022-09-02 03:12:37,789 - mmdet - INFO - Epoch [6][5500/7390] lr: 2.000e-02, eta: 4:18:00, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0228, loss_cls: 2.9258, loss_bbox: 1.5709, loss: 4.5702 +2022-09-02 03:12:54,799 - mmdet - INFO - Epoch [6][5550/7390] lr: 2.000e-02, eta: 4:17:43, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0241, loss_cls: 2.9366, loss_bbox: 1.5632, loss: 4.5770 +2022-09-02 03:13:11,503 - mmdet - INFO - Epoch [6][5600/7390] lr: 2.000e-02, eta: 4:17:26, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.9367, loss_bbox: 1.5725, loss: 4.5841 +2022-09-02 03:13:28,785 - mmdet - INFO - Epoch [6][5650/7390] lr: 2.000e-02, eta: 4:17:10, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0242, loss_cls: 2.9279, loss_bbox: 1.5641, loss: 4.5692 +2022-09-02 03:13:46,134 - mmdet - INFO - Epoch [6][5700/7390] lr: 2.000e-02, eta: 4:16:54, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0242, loss_cls: 2.9308, loss_bbox: 1.5534, loss: 4.5614 +2022-09-02 03:14:03,153 - mmdet - INFO - Epoch [6][5750/7390] lr: 2.000e-02, eta: 4:16:38, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0237, loss_cls: 2.9245, loss_bbox: 1.5694, loss: 4.5701 +2022-09-02 03:14:20,086 - mmdet - INFO - Epoch [6][5800/7390] lr: 2.000e-02, eta: 4:16:21, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0236, loss_cls: 2.9205, loss_bbox: 1.5719, loss: 4.5678 +2022-09-02 03:14:37,307 - mmdet - INFO - Epoch [6][5850/7390] lr: 2.000e-02, eta: 4:16:05, time: 0.344, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0234, loss_cls: 2.9250, loss_bbox: 1.5577, loss: 4.5581 +2022-09-02 03:14:54,091 - mmdet - INFO - Epoch [6][5900/7390] lr: 2.000e-02, eta: 4:15:48, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0232, loss_cls: 2.9325, loss_bbox: 1.5585, loss: 4.5666 +2022-09-02 03:15:11,438 - mmdet - INFO - Epoch [6][5950/7390] lr: 2.000e-02, eta: 4:15:32, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0235, loss_cls: 2.9324, loss_bbox: 1.5669, loss: 4.5752 +2022-09-02 03:15:28,264 - mmdet - INFO - Epoch [6][6000/7390] lr: 2.000e-02, eta: 4:15:15, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.9262, loss_bbox: 1.5589, loss: 4.5588 +2022-09-02 03:15:45,108 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:15:45,108 - mmdet - INFO - Epoch [6][6050/7390] lr: 2.000e-02, eta: 4:14:59, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.9234, loss_bbox: 1.5742, loss: 4.5719 +2022-09-02 03:16:01,546 - mmdet - INFO - Epoch [6][6100/7390] lr: 2.000e-02, eta: 4:14:42, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0224, loss_cls: 2.9031, loss_bbox: 1.5673, loss: 4.5435 +2022-09-02 03:16:18,493 - mmdet - INFO - Epoch [6][6150/7390] lr: 2.000e-02, eta: 4:14:25, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0237, loss_cls: 2.9251, loss_bbox: 1.5708, loss: 4.5716 +2022-09-02 03:16:34,950 - mmdet - INFO - Epoch [6][6200/7390] lr: 2.000e-02, eta: 4:14:08, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0232, loss_cls: 2.9031, loss_bbox: 1.5601, loss: 4.5382 +2022-09-02 03:16:51,486 - mmdet - INFO - Epoch [6][6250/7390] lr: 2.000e-02, eta: 4:13:51, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 2.9152, loss_bbox: 1.5666, loss: 4.5581 +2022-09-02 03:17:07,978 - mmdet - INFO - Epoch [6][6300/7390] lr: 2.000e-02, eta: 4:13:34, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0227, loss_cls: 2.9157, loss_bbox: 1.5700, loss: 4.5596 +2022-09-02 03:17:24,625 - mmdet - INFO - Epoch [6][6350/7390] lr: 2.000e-02, eta: 4:13:17, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.9084, loss_bbox: 1.5540, loss: 4.5356 +2022-09-02 03:17:41,258 - mmdet - INFO - Epoch [6][6400/7390] lr: 2.000e-02, eta: 4:13:00, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0227, loss_cls: 2.9158, loss_bbox: 1.5692, loss: 4.5583 +2022-09-02 03:17:58,477 - mmdet - INFO - Epoch [6][6450/7390] lr: 2.000e-02, eta: 4:12:44, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0233, loss_cls: 2.9082, loss_bbox: 1.5604, loss: 4.5442 +2022-09-02 03:18:14,932 - mmdet - INFO - Epoch [6][6500/7390] lr: 2.000e-02, eta: 4:12:27, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0230, loss_cls: 2.9033, loss_bbox: 1.5695, loss: 4.5471 +2022-09-02 03:18:31,675 - mmdet - INFO - Epoch [6][6550/7390] lr: 2.000e-02, eta: 4:12:10, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0224, loss_cls: 2.9038, loss_bbox: 1.5679, loss: 4.5436 +2022-09-02 03:18:48,737 - mmdet - INFO - Epoch [6][6600/7390] lr: 2.000e-02, eta: 4:11:54, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0231, loss_cls: 2.9107, loss_bbox: 1.5578, loss: 4.5427 +2022-09-02 03:19:05,851 - mmdet - INFO - Epoch [6][6650/7390] lr: 2.000e-02, eta: 4:11:38, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0228, loss_cls: 2.8928, loss_bbox: 1.5624, loss: 4.5296 +2022-09-02 03:19:22,688 - mmdet - INFO - Epoch [6][6700/7390] lr: 2.000e-02, eta: 4:11:21, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.9120, loss_bbox: 1.5636, loss: 4.5505 +2022-09-02 03:19:39,381 - mmdet - INFO - Epoch [6][6750/7390] lr: 2.000e-02, eta: 4:11:04, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0227, loss_cls: 2.8990, loss_bbox: 1.5791, loss: 4.5511 +2022-09-02 03:19:56,280 - mmdet - INFO - Epoch [6][6800/7390] lr: 2.000e-02, eta: 4:10:48, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0229, loss_cls: 2.9232, loss_bbox: 1.5771, loss: 4.5741 +2022-09-02 03:20:13,118 - mmdet - INFO - Epoch [6][6850/7390] lr: 2.000e-02, eta: 4:10:31, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0239, loss_cls: 2.9451, loss_bbox: 1.5586, loss: 4.5795 +2022-09-02 03:20:29,852 - mmdet - INFO - Epoch [6][6900/7390] lr: 2.000e-02, eta: 4:10:14, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0221, loss_cls: 2.9094, loss_bbox: 1.5716, loss: 4.5533 +2022-09-02 03:20:46,581 - mmdet - INFO - Epoch [6][6950/7390] lr: 2.000e-02, eta: 4:09:57, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0232, loss_cls: 2.9167, loss_bbox: 1.5690, loss: 4.5600 +2022-09-02 03:21:03,879 - mmdet - INFO - Epoch [6][7000/7390] lr: 2.000e-02, eta: 4:09:41, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0240, loss_cls: 2.9509, loss_bbox: 1.5650, loss: 4.5917 +2022-09-02 03:21:20,966 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:21:20,966 - mmdet - INFO - Epoch [6][7050/7390] lr: 2.000e-02, eta: 4:09:25, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0234, loss_cls: 2.9153, loss_bbox: 1.5776, loss: 4.5685 +2022-09-02 03:21:37,621 - mmdet - INFO - Epoch [6][7100/7390] lr: 2.000e-02, eta: 4:09:08, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0232, loss_cls: 2.9139, loss_bbox: 1.5544, loss: 4.5418 +2022-09-02 03:21:54,340 - mmdet - INFO - Epoch [6][7150/7390] lr: 2.000e-02, eta: 4:08:51, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0231, loss_cls: 2.9380, loss_bbox: 1.5671, loss: 4.5792 +2022-09-02 03:22:10,930 - mmdet - INFO - Epoch [6][7200/7390] lr: 2.000e-02, eta: 4:08:34, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9295, loss_bbox: 1.5670, loss: 4.5719 +2022-09-02 03:22:27,992 - mmdet - INFO - Epoch [6][7250/7390] lr: 2.000e-02, eta: 4:08:18, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0237, loss_cls: 2.9259, loss_bbox: 1.5661, loss: 4.5681 +2022-09-02 03:22:44,874 - mmdet - INFO - Epoch [6][7300/7390] lr: 2.000e-02, eta: 4:08:01, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0238, loss_cls: 2.9150, loss_bbox: 1.5567, loss: 4.5479 +2022-09-02 03:23:01,820 - mmdet - INFO - Epoch [6][7350/7390] lr: 2.000e-02, eta: 4:07:45, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9137, loss_bbox: 1.5607, loss: 4.5496 +2022-09-02 03:23:15,297 - mmdet - INFO - Saving checkpoint at 6 epochs +2022-09-02 03:23:36,916 - mmdet - INFO - Epoch [7][50/7390] lr: 2.000e-02, eta: 4:07:05, time: 0.403, data_time: 0.070, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0232, loss_cls: 2.9276, loss_bbox: 1.5662, loss: 4.5676 +2022-09-02 03:23:54,025 - mmdet - INFO - Epoch [7][100/7390] lr: 2.000e-02, eta: 4:06:48, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.9181, loss_bbox: 1.5657, loss: 4.5570 +2022-09-02 03:24:11,142 - mmdet - INFO - Epoch [7][150/7390] lr: 2.000e-02, eta: 4:06:32, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0238, loss_cls: 2.9178, loss_bbox: 1.5639, loss: 4.5580 +2022-09-02 03:24:28,106 - mmdet - INFO - Epoch [7][200/7390] lr: 2.000e-02, eta: 4:06:15, time: 0.339, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0230, loss_cls: 2.9134, loss_bbox: 1.5607, loss: 4.5483 +2022-09-02 03:24:44,498 - mmdet - INFO - Epoch [7][250/7390] lr: 2.000e-02, eta: 4:05:58, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.9426, loss_bbox: 1.5694, loss: 4.5862 +2022-09-02 03:25:01,055 - mmdet - INFO - Epoch [7][300/7390] lr: 2.000e-02, eta: 4:05:41, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0233, loss_cls: 2.9273, loss_bbox: 1.5642, loss: 4.5661 +2022-09-02 03:25:17,812 - mmdet - INFO - Epoch [7][350/7390] lr: 2.000e-02, eta: 4:05:25, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0230, loss_cls: 2.9272, loss_bbox: 1.5597, loss: 4.5613 +2022-09-02 03:25:34,811 - mmdet - INFO - Epoch [7][400/7390] lr: 2.000e-02, eta: 4:05:08, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0229, loss_cls: 2.8965, loss_bbox: 1.5716, loss: 4.5403 +2022-09-02 03:25:51,625 - mmdet - INFO - Epoch [7][450/7390] lr: 2.000e-02, eta: 4:04:52, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0227, loss_cls: 2.9115, loss_bbox: 1.5697, loss: 4.5537 +2022-09-02 03:26:08,739 - mmdet - INFO - Epoch [7][500/7390] lr: 2.000e-02, eta: 4:04:35, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.9078, loss_bbox: 1.5733, loss: 4.5564 +2022-09-02 03:26:25,688 - mmdet - INFO - Epoch [7][550/7390] lr: 2.000e-02, eta: 4:04:19, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0237, loss_cls: 2.9247, loss_bbox: 1.5636, loss: 4.5642 +2022-09-02 03:26:42,254 - mmdet - INFO - Epoch [7][600/7390] lr: 2.000e-02, eta: 4:04:02, time: 0.332, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0224, loss_cls: 2.9148, loss_bbox: 1.5649, loss: 4.5516 +2022-09-02 03:26:59,291 - mmdet - INFO - Epoch [7][650/7390] lr: 2.000e-02, eta: 4:03:45, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0237, loss_cls: 2.9367, loss_bbox: 1.5550, loss: 4.5675 +2022-09-02 03:27:16,807 - mmdet - INFO - Epoch [7][700/7390] lr: 2.000e-02, eta: 4:03:29, time: 0.350, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0238, loss_cls: 2.9154, loss_bbox: 1.5652, loss: 4.5561 +2022-09-02 03:27:33,888 - mmdet - INFO - Epoch [7][750/7390] lr: 2.000e-02, eta: 4:03:13, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.9189, loss_bbox: 1.5591, loss: 4.5517 +2022-09-02 03:27:51,078 - mmdet - INFO - Epoch [7][800/7390] lr: 2.000e-02, eta: 4:02:57, time: 0.344, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0227, loss_cls: 2.8991, loss_bbox: 1.5592, loss: 4.5310 +2022-09-02 03:28:07,570 - mmdet - INFO - Epoch [7][850/7390] lr: 2.000e-02, eta: 4:02:40, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 2.9090, loss_bbox: 1.5633, loss: 4.5471 +2022-09-02 03:28:24,611 - mmdet - INFO - Epoch [7][900/7390] lr: 2.000e-02, eta: 4:02:23, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0234, loss_cls: 2.9146, loss_bbox: 1.5546, loss: 4.5445 +2022-09-02 03:28:41,329 - mmdet - INFO - Epoch [7][950/7390] lr: 2.000e-02, eta: 4:02:06, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0228, loss_cls: 2.9127, loss_bbox: 1.5665, loss: 4.5521 +2022-09-02 03:28:58,367 - mmdet - INFO - Epoch [7][1000/7390] lr: 2.000e-02, eta: 4:01:50, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0234, loss_cls: 2.8985, loss_bbox: 1.5672, loss: 4.5403 +2022-09-02 03:29:15,015 - mmdet - INFO - Epoch [7][1050/7390] lr: 2.000e-02, eta: 4:01:33, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0233, loss_cls: 2.9114, loss_bbox: 1.5632, loss: 4.5500 +2022-09-02 03:29:31,838 - mmdet - INFO - Epoch [7][1100/7390] lr: 2.000e-02, eta: 4:01:16, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0232, loss_cls: 2.9024, loss_bbox: 1.5684, loss: 4.5443 +2022-09-02 03:29:48,746 - mmdet - INFO - Epoch [7][1150/7390] lr: 2.000e-02, eta: 4:01:00, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0238, loss_cls: 2.9232, loss_bbox: 1.5578, loss: 4.5571 +2022-09-02 03:30:05,758 - mmdet - INFO - Epoch [7][1200/7390] lr: 2.000e-02, eta: 4:00:43, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.9234, loss_bbox: 1.5741, loss: 4.5728 +2022-09-02 03:30:22,663 - mmdet - INFO - Epoch [7][1250/7390] lr: 2.000e-02, eta: 4:00:27, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0234, loss_cls: 2.9193, loss_bbox: 1.5501, loss: 4.5450 +2022-09-02 03:30:39,617 - mmdet - INFO - Epoch [7][1300/7390] lr: 2.000e-02, eta: 4:00:10, time: 0.339, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0230, loss_cls: 2.9000, loss_bbox: 1.5691, loss: 4.5432 +2022-09-02 03:30:56,261 - mmdet - INFO - Epoch [7][1350/7390] lr: 2.000e-02, eta: 3:59:53, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0221, loss_cls: 2.8895, loss_bbox: 1.5610, loss: 4.5224 +2022-09-02 03:31:13,320 - mmdet - INFO - Epoch [7][1400/7390] lr: 2.000e-02, eta: 3:59:37, time: 0.341, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0229, loss_cls: 2.8928, loss_bbox: 1.5636, loss: 4.5304 +2022-09-02 03:31:29,958 - mmdet - INFO - Epoch [7][1450/7390] lr: 2.000e-02, eta: 3:59:20, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.9174, loss_bbox: 1.5710, loss: 4.5621 +2022-09-02 03:31:46,274 - mmdet - INFO - Epoch [7][1500/7390] lr: 2.000e-02, eta: 3:59:03, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0222, loss_cls: 2.8878, loss_bbox: 1.5665, loss: 4.5271 +2022-09-02 03:32:02,928 - mmdet - INFO - Epoch [7][1550/7390] lr: 2.000e-02, eta: 3:58:46, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0235, loss_cls: 2.8964, loss_bbox: 1.5644, loss: 4.5368 +2022-09-02 03:32:19,691 - mmdet - INFO - Epoch [7][1600/7390] lr: 2.000e-02, eta: 3:58:29, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0227, loss_cls: 2.9016, loss_bbox: 1.5704, loss: 4.5456 +2022-09-02 03:32:36,233 - mmdet - INFO - Epoch [7][1650/7390] lr: 2.000e-02, eta: 3:58:13, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.9096, loss_bbox: 1.5614, loss: 4.5463 +2022-09-02 03:32:53,133 - mmdet - INFO - Epoch [7][1700/7390] lr: 2.000e-02, eta: 3:57:56, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0231, loss_cls: 2.8914, loss_bbox: 1.5679, loss: 4.5338 +2022-09-02 03:33:09,658 - mmdet - INFO - Epoch [7][1750/7390] lr: 2.000e-02, eta: 3:57:39, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0229, loss_cls: 2.8919, loss_bbox: 1.5628, loss: 4.5284 +2022-09-02 03:33:26,732 - mmdet - INFO - Epoch [7][1800/7390] lr: 2.000e-02, eta: 3:57:23, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9135, loss_bbox: 1.5629, loss: 4.5511 +2022-09-02 03:33:43,835 - mmdet - INFO - Epoch [7][1850/7390] lr: 2.000e-02, eta: 3:57:06, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0233, loss_cls: 2.9105, loss_bbox: 1.5564, loss: 4.5419 +2022-09-02 03:34:01,014 - mmdet - INFO - Epoch [7][1900/7390] lr: 2.000e-02, eta: 3:56:50, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0239, loss_cls: 2.9345, loss_bbox: 1.5655, loss: 4.5764 +2022-09-02 03:34:18,174 - mmdet - INFO - Epoch [7][1950/7390] lr: 2.000e-02, eta: 3:56:33, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0234, loss_cls: 2.9131, loss_bbox: 1.5546, loss: 4.5431 +2022-09-02 03:34:34,709 - mmdet - INFO - Epoch [7][2000/7390] lr: 2.000e-02, eta: 3:56:17, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0232, loss_cls: 2.9146, loss_bbox: 1.5467, loss: 4.5357 +2022-09-02 03:34:52,069 - mmdet - INFO - Epoch [7][2050/7390] lr: 2.000e-02, eta: 3:56:00, time: 0.348, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0536, loss_rpn_bbox: 0.0239, loss_cls: 2.9263, loss_bbox: 1.5685, loss: 4.5722 +2022-09-02 03:35:08,608 - mmdet - INFO - Epoch [7][2100/7390] lr: 2.000e-02, eta: 3:55:43, time: 0.331, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0226, loss_cls: 2.9022, loss_bbox: 1.5585, loss: 4.5344 +2022-09-02 03:35:25,435 - mmdet - INFO - Epoch [7][2150/7390] lr: 2.000e-02, eta: 3:55:27, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0233, loss_cls: 2.9161, loss_bbox: 1.5616, loss: 4.5528 +2022-09-02 03:35:42,271 - mmdet - INFO - Epoch [7][2200/7390] lr: 2.000e-02, eta: 3:55:10, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0232, loss_cls: 2.9323, loss_bbox: 1.5664, loss: 4.5744 +2022-09-02 03:35:58,870 - mmdet - INFO - Epoch [7][2250/7390] lr: 2.000e-02, eta: 3:54:53, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9084, loss_bbox: 1.5568, loss: 4.5406 +2022-09-02 03:36:15,598 - mmdet - INFO - Epoch [7][2300/7390] lr: 2.000e-02, eta: 3:54:36, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.9211, loss_bbox: 1.5628, loss: 4.5577 +2022-09-02 03:36:32,232 - mmdet - INFO - Epoch [7][2350/7390] lr: 2.000e-02, eta: 3:54:20, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0233, loss_cls: 2.9082, loss_bbox: 1.5598, loss: 4.5428 +2022-09-02 03:36:48,885 - mmdet - INFO - Epoch [7][2400/7390] lr: 2.000e-02, eta: 3:54:03, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0233, loss_cls: 2.9328, loss_bbox: 1.5666, loss: 4.5745 +2022-09-02 03:37:05,836 - mmdet - INFO - Epoch [7][2450/7390] lr: 2.000e-02, eta: 3:53:46, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.9130, loss_bbox: 1.5550, loss: 4.5418 +2022-09-02 03:37:22,767 - mmdet - INFO - Epoch [7][2500/7390] lr: 2.000e-02, eta: 3:53:30, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0236, loss_cls: 2.9230, loss_bbox: 1.5595, loss: 4.5581 +2022-09-02 03:37:39,065 - mmdet - INFO - Epoch [7][2550/7390] lr: 2.000e-02, eta: 3:53:13, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0225, loss_cls: 2.9004, loss_bbox: 1.5647, loss: 4.5377 +2022-09-02 03:37:55,745 - mmdet - INFO - Epoch [7][2600/7390] lr: 2.000e-02, eta: 3:52:56, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0230, loss_cls: 2.9126, loss_bbox: 1.5599, loss: 4.5467 +2022-09-02 03:38:12,628 - mmdet - INFO - Epoch [7][2650/7390] lr: 2.000e-02, eta: 3:52:39, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0234, loss_cls: 2.9280, loss_bbox: 1.5740, loss: 4.5771 +2022-09-02 03:38:29,306 - mmdet - INFO - Epoch [7][2700/7390] lr: 2.000e-02, eta: 3:52:22, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.9190, loss_bbox: 1.5563, loss: 4.5490 +2022-09-02 03:38:45,882 - mmdet - INFO - Epoch [7][2750/7390] lr: 2.000e-02, eta: 3:52:05, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9193, loss_bbox: 1.5581, loss: 4.5526 +2022-09-02 03:39:03,298 - mmdet - INFO - Epoch [7][2800/7390] lr: 2.000e-02, eta: 3:51:49, time: 0.347, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0243, loss_cls: 2.9330, loss_bbox: 1.5559, loss: 4.5659 +2022-09-02 03:39:19,767 - mmdet - INFO - Epoch [7][2850/7390] lr: 2.000e-02, eta: 3:51:32, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0227, loss_cls: 2.9038, loss_bbox: 1.5641, loss: 4.5419 +2022-09-02 03:39:36,700 - mmdet - INFO - Epoch [7][2900/7390] lr: 2.000e-02, eta: 3:51:16, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0234, loss_cls: 2.9167, loss_bbox: 1.5618, loss: 4.5532 +2022-09-02 03:39:53,404 - mmdet - INFO - Epoch [7][2950/7390] lr: 2.000e-02, eta: 3:50:59, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0236, loss_cls: 2.9331, loss_bbox: 1.5523, loss: 4.5611 +2022-09-02 03:40:10,205 - mmdet - INFO - Epoch [7][3000/7390] lr: 2.000e-02, eta: 3:50:42, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0232, loss_cls: 2.9201, loss_bbox: 1.5553, loss: 4.5499 +2022-09-02 03:40:27,044 - mmdet - INFO - Epoch [7][3050/7390] lr: 2.000e-02, eta: 3:50:26, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0232, loss_cls: 2.9070, loss_bbox: 1.5550, loss: 4.5372 +2022-09-02 03:40:44,084 - mmdet - INFO - Epoch [7][3100/7390] lr: 2.000e-02, eta: 3:50:09, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0237, loss_cls: 2.9065, loss_bbox: 1.5568, loss: 4.5394 +2022-09-02 03:41:00,554 - mmdet - INFO - Epoch [7][3150/7390] lr: 2.000e-02, eta: 3:49:52, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0225, loss_cls: 2.9125, loss_bbox: 1.5619, loss: 4.5470 +2022-09-02 03:41:17,230 - mmdet - INFO - Epoch [7][3200/7390] lr: 2.000e-02, eta: 3:49:35, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.8932, loss_bbox: 1.5639, loss: 4.5317 +2022-09-02 03:41:33,846 - mmdet - INFO - Epoch [7][3250/7390] lr: 2.000e-02, eta: 3:49:19, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.9186, loss_bbox: 1.5586, loss: 4.5508 +2022-09-02 03:41:50,901 - mmdet - INFO - Epoch [7][3300/7390] lr: 2.000e-02, eta: 3:49:02, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0233, loss_cls: 2.9083, loss_bbox: 1.5583, loss: 4.5408 +2022-09-02 03:42:07,772 - mmdet - INFO - Epoch [7][3350/7390] lr: 2.000e-02, eta: 3:48:45, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0237, loss_cls: 2.9193, loss_bbox: 1.5522, loss: 4.5480 +2022-09-02 03:42:24,405 - mmdet - INFO - Epoch [7][3400/7390] lr: 2.000e-02, eta: 3:48:29, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0233, loss_cls: 2.9419, loss_bbox: 1.5647, loss: 4.5817 +2022-09-02 03:42:41,563 - mmdet - INFO - Epoch [7][3450/7390] lr: 2.000e-02, eta: 3:48:12, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0241, loss_cls: 2.9157, loss_bbox: 1.5440, loss: 4.5358 +2022-09-02 03:42:58,612 - mmdet - INFO - Epoch [7][3500/7390] lr: 2.000e-02, eta: 3:47:56, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0232, loss_cls: 2.9228, loss_bbox: 1.5586, loss: 4.5559 +2022-09-02 03:43:15,638 - mmdet - INFO - Epoch [7][3550/7390] lr: 2.000e-02, eta: 3:47:39, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0232, loss_cls: 2.9100, loss_bbox: 1.5667, loss: 4.5512 +2022-09-02 03:43:32,798 - mmdet - INFO - Epoch [7][3600/7390] lr: 2.000e-02, eta: 3:47:23, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0233, loss_cls: 2.9295, loss_bbox: 1.5609, loss: 4.5643 +2022-09-02 03:43:49,867 - mmdet - INFO - Epoch [7][3650/7390] lr: 2.000e-02, eta: 3:47:06, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0232, loss_cls: 2.9315, loss_bbox: 1.5619, loss: 4.5678 +2022-09-02 03:44:06,950 - mmdet - INFO - Epoch [7][3700/7390] lr: 2.000e-02, eta: 3:46:50, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9186, loss_bbox: 1.5741, loss: 4.5675 +2022-09-02 03:44:23,632 - mmdet - INFO - Epoch [7][3750/7390] lr: 2.000e-02, eta: 3:46:33, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.9188, loss_bbox: 1.5633, loss: 4.5566 +2022-09-02 03:44:40,671 - mmdet - INFO - Epoch [7][3800/7390] lr: 2.000e-02, eta: 3:46:17, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0236, loss_cls: 2.9135, loss_bbox: 1.5598, loss: 4.5487 +2022-09-02 03:44:57,284 - mmdet - INFO - Epoch [7][3850/7390] lr: 2.000e-02, eta: 3:46:00, time: 0.332, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0227, loss_cls: 2.9101, loss_bbox: 1.5618, loss: 4.5450 +2022-09-02 03:45:14,403 - mmdet - INFO - Epoch [7][3900/7390] lr: 2.000e-02, eta: 3:45:43, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 2.9163, loss_bbox: 1.5657, loss: 4.5569 +2022-09-02 03:45:31,190 - mmdet - INFO - Epoch [7][3950/7390] lr: 2.000e-02, eta: 3:45:27, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9156, loss_bbox: 1.5564, loss: 4.5477 +2022-09-02 03:45:47,482 - mmdet - INFO - Epoch [7][4000/7390] lr: 2.000e-02, eta: 3:45:09, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0231, loss_cls: 2.9102, loss_bbox: 1.5600, loss: 4.5446 +2022-09-02 03:46:04,135 - mmdet - INFO - Epoch [7][4050/7390] lr: 2.000e-02, eta: 3:44:53, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0229, loss_cls: 2.9209, loss_bbox: 1.5563, loss: 4.5510 +2022-09-02 03:46:20,836 - mmdet - INFO - Epoch [7][4100/7390] lr: 2.000e-02, eta: 3:44:36, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0231, loss_cls: 2.9102, loss_bbox: 1.5556, loss: 4.5399 +2022-09-02 03:46:37,568 - mmdet - INFO - Epoch [7][4150/7390] lr: 2.000e-02, eta: 3:44:19, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0228, loss_cls: 2.8969, loss_bbox: 1.5690, loss: 4.5399 +2022-09-02 03:46:53,720 - mmdet - INFO - Epoch [7][4200/7390] lr: 2.000e-02, eta: 3:44:02, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0223, loss_cls: 2.8854, loss_bbox: 1.5602, loss: 4.5177 +2022-09-02 03:47:10,968 - mmdet - INFO - Epoch [7][4250/7390] lr: 2.000e-02, eta: 3:43:46, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0235, loss_cls: 2.9130, loss_bbox: 1.5664, loss: 4.5550 +2022-09-02 03:47:27,711 - mmdet - INFO - Epoch [7][4300/7390] lr: 2.000e-02, eta: 3:43:29, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.9027, loss_bbox: 1.5572, loss: 4.5349 +2022-09-02 03:47:44,566 - mmdet - INFO - Epoch [7][4350/7390] lr: 2.000e-02, eta: 3:43:12, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 2.9026, loss_bbox: 1.5633, loss: 4.5395 +2022-09-02 03:48:01,568 - mmdet - INFO - Epoch [7][4400/7390] lr: 2.000e-02, eta: 3:42:56, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0238, loss_cls: 2.9134, loss_bbox: 1.5541, loss: 4.5443 +2022-09-02 03:48:18,476 - mmdet - INFO - Epoch [7][4450/7390] lr: 2.000e-02, eta: 3:42:39, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0236, loss_cls: 2.9279, loss_bbox: 1.5543, loss: 4.5582 +2022-09-02 03:48:35,137 - mmdet - INFO - Epoch [7][4500/7390] lr: 2.000e-02, eta: 3:42:22, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0234, loss_cls: 2.9047, loss_bbox: 1.5615, loss: 4.5416 +2022-09-02 03:48:52,230 - mmdet - INFO - Epoch [7][4550/7390] lr: 2.000e-02, eta: 3:42:06, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0233, loss_cls: 2.9074, loss_bbox: 1.5614, loss: 4.5430 +2022-09-02 03:49:08,999 - mmdet - INFO - Epoch [7][4600/7390] lr: 2.000e-02, eta: 3:41:49, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0232, loss_cls: 2.9068, loss_bbox: 1.5571, loss: 4.5381 +2022-09-02 03:49:25,841 - mmdet - INFO - Epoch [7][4650/7390] lr: 2.000e-02, eta: 3:41:32, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0238, loss_cls: 2.9308, loss_bbox: 1.5573, loss: 4.5641 +2022-09-02 03:49:42,431 - mmdet - INFO - Epoch [7][4700/7390] lr: 2.000e-02, eta: 3:41:15, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0228, loss_cls: 2.8900, loss_bbox: 1.5561, loss: 4.5195 +2022-09-02 03:49:58,903 - mmdet - INFO - Epoch [7][4750/7390] lr: 2.000e-02, eta: 3:40:58, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0231, loss_cls: 2.9166, loss_bbox: 1.5540, loss: 4.5441 +2022-09-02 03:50:15,568 - mmdet - INFO - Epoch [7][4800/7390] lr: 2.000e-02, eta: 3:40:42, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0228, loss_cls: 2.9027, loss_bbox: 1.5537, loss: 4.5298 +2022-09-02 03:50:32,093 - mmdet - INFO - Epoch [7][4850/7390] lr: 2.000e-02, eta: 3:40:25, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0231, loss_cls: 2.9043, loss_bbox: 1.5644, loss: 4.5424 +2022-09-02 03:50:48,662 - mmdet - INFO - Epoch [7][4900/7390] lr: 2.000e-02, eta: 3:40:08, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0227, loss_cls: 2.9121, loss_bbox: 1.5588, loss: 4.5439 +2022-09-02 03:51:04,990 - mmdet - INFO - Epoch [7][4950/7390] lr: 2.000e-02, eta: 3:39:51, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0227, loss_cls: 2.9032, loss_bbox: 1.5567, loss: 4.5329 +2022-09-02 03:51:22,259 - mmdet - INFO - Epoch [7][5000/7390] lr: 2.000e-02, eta: 3:39:34, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0235, loss_cls: 2.9004, loss_bbox: 1.5550, loss: 4.5308 +2022-09-02 03:51:39,033 - mmdet - INFO - Epoch [7][5050/7390] lr: 2.000e-02, eta: 3:39:18, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0236, loss_cls: 2.9247, loss_bbox: 1.5703, loss: 4.5700 +2022-09-02 03:51:55,350 - mmdet - INFO - Epoch [7][5100/7390] lr: 2.000e-02, eta: 3:39:01, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0227, loss_cls: 2.9028, loss_bbox: 1.5573, loss: 4.5342 +2022-09-02 03:52:12,158 - mmdet - INFO - Epoch [7][5150/7390] lr: 2.000e-02, eta: 3:38:44, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0229, loss_cls: 2.9005, loss_bbox: 1.5618, loss: 4.5367 +2022-09-02 03:52:29,124 - mmdet - INFO - Epoch [7][5200/7390] lr: 2.000e-02, eta: 3:38:27, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0234, loss_cls: 2.9105, loss_bbox: 1.5582, loss: 4.5440 +2022-09-02 03:52:45,805 - mmdet - INFO - Epoch [7][5250/7390] lr: 2.000e-02, eta: 3:38:11, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.9246, loss_bbox: 1.5587, loss: 4.5576 +2022-09-02 03:53:02,580 - mmdet - INFO - Epoch [7][5300/7390] lr: 2.000e-02, eta: 3:37:54, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.9177, loss_bbox: 1.5644, loss: 4.5573 +2022-09-02 03:53:18,935 - mmdet - INFO - Epoch [7][5350/7390] lr: 2.000e-02, eta: 3:37:37, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0227, loss_cls: 2.9201, loss_bbox: 1.5624, loss: 4.5551 +2022-09-02 03:53:35,782 - mmdet - INFO - Epoch [7][5400/7390] lr: 2.000e-02, eta: 3:37:20, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0232, loss_cls: 2.9202, loss_bbox: 1.5595, loss: 4.5537 +2022-09-02 03:53:52,352 - mmdet - INFO - Epoch [7][5450/7390] lr: 2.000e-02, eta: 3:37:03, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0227, loss_cls: 2.9004, loss_bbox: 1.5766, loss: 4.5504 +2022-09-02 03:54:08,979 - mmdet - INFO - Epoch [7][5500/7390] lr: 2.000e-02, eta: 3:36:46, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0231, loss_cls: 2.9039, loss_bbox: 1.5567, loss: 4.5353 +2022-09-02 03:54:25,653 - mmdet - INFO - Epoch [7][5550/7390] lr: 2.000e-02, eta: 3:36:30, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0235, loss_cls: 2.9206, loss_bbox: 1.5569, loss: 4.5519 +2022-09-02 03:54:42,733 - mmdet - INFO - Epoch [7][5600/7390] lr: 2.000e-02, eta: 3:36:13, time: 0.341, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0232, loss_cls: 2.9124, loss_bbox: 1.5723, loss: 4.5589 +2022-09-02 03:54:59,624 - mmdet - INFO - Epoch [7][5650/7390] lr: 2.000e-02, eta: 3:35:56, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0233, loss_cls: 2.9248, loss_bbox: 1.5647, loss: 4.5643 +2022-09-02 03:55:16,807 - mmdet - INFO - Epoch [7][5700/7390] lr: 2.000e-02, eta: 3:35:40, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0236, loss_cls: 2.9360, loss_bbox: 1.5631, loss: 4.5744 +2022-09-02 03:55:33,042 - mmdet - INFO - Epoch [7][5750/7390] lr: 2.000e-02, eta: 3:35:23, time: 0.325, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0224, loss_cls: 2.8822, loss_bbox: 1.5611, loss: 4.5161 +2022-09-02 03:55:49,245 - mmdet - INFO - Epoch [7][5800/7390] lr: 2.000e-02, eta: 3:35:06, time: 0.324, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.8973, loss_bbox: 1.5693, loss: 4.5404 +2022-09-02 03:56:05,993 - mmdet - INFO - Epoch [7][5850/7390] lr: 2.000e-02, eta: 3:34:49, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.9200, loss_bbox: 1.5591, loss: 4.5527 +2022-09-02 03:56:22,723 - mmdet - INFO - Epoch [7][5900/7390] lr: 2.000e-02, eta: 3:34:32, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0226, loss_cls: 2.9076, loss_bbox: 1.5649, loss: 4.5452 +2022-09-02 03:56:39,443 - mmdet - INFO - Epoch [7][5950/7390] lr: 2.000e-02, eta: 3:34:16, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0231, loss_cls: 2.9001, loss_bbox: 1.5512, loss: 4.5259 +2022-09-02 03:56:56,075 - mmdet - INFO - Epoch [7][6000/7390] lr: 2.000e-02, eta: 3:33:59, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0239, loss_cls: 2.9375, loss_bbox: 1.5653, loss: 4.5791 +2022-09-02 03:57:12,404 - mmdet - INFO - Epoch [7][6050/7390] lr: 2.000e-02, eta: 3:33:42, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0227, loss_cls: 2.9205, loss_bbox: 1.5547, loss: 4.5487 +2022-09-02 03:57:29,503 - mmdet - INFO - Epoch [7][6100/7390] lr: 2.000e-02, eta: 3:33:25, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 2.8951, loss_bbox: 1.5613, loss: 4.5296 +2022-09-02 03:57:46,356 - mmdet - INFO - Epoch [7][6150/7390] lr: 2.000e-02, eta: 3:33:08, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.8898, loss_bbox: 1.5656, loss: 4.5302 +2022-09-02 03:58:03,424 - mmdet - INFO - Epoch [7][6200/7390] lr: 2.000e-02, eta: 3:32:52, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0239, loss_cls: 2.9136, loss_bbox: 1.5538, loss: 4.5439 +2022-09-02 03:58:20,368 - mmdet - INFO - Epoch [7][6250/7390] lr: 2.000e-02, eta: 3:32:35, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0228, loss_cls: 2.9146, loss_bbox: 1.5607, loss: 4.5484 +2022-09-02 03:58:36,844 - mmdet - INFO - Epoch [7][6300/7390] lr: 2.000e-02, eta: 3:32:18, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0229, loss_cls: 2.9360, loss_bbox: 1.5557, loss: 4.5655 +2022-09-02 03:58:53,647 - mmdet - INFO - Epoch [7][6350/7390] lr: 2.000e-02, eta: 3:32:02, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0227, loss_cls: 2.8950, loss_bbox: 1.5729, loss: 4.5405 +2022-09-02 03:59:10,240 - mmdet - INFO - Epoch [7][6400/7390] lr: 2.000e-02, eta: 3:31:45, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0230, loss_cls: 2.9040, loss_bbox: 1.5536, loss: 4.5315 +2022-09-02 03:59:26,954 - mmdet - INFO - Epoch [7][6450/7390] lr: 2.000e-02, eta: 3:31:28, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0232, loss_cls: 2.9042, loss_bbox: 1.5620, loss: 4.5401 +2022-09-02 03:59:43,719 - mmdet - INFO - Epoch [7][6500/7390] lr: 2.000e-02, eta: 3:31:11, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 2.8912, loss_bbox: 1.5613, loss: 4.5261 +2022-09-02 04:00:00,522 - mmdet - INFO - Epoch [7][6550/7390] lr: 2.000e-02, eta: 3:30:55, time: 0.336, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0232, loss_cls: 2.9070, loss_bbox: 1.5558, loss: 4.5363 +2022-09-02 04:00:17,501 - mmdet - INFO - Epoch [7][6600/7390] lr: 2.000e-02, eta: 3:30:38, time: 0.340, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0224, loss_cls: 2.9067, loss_bbox: 1.5596, loss: 4.5387 +2022-09-02 04:00:34,825 - mmdet - INFO - Epoch [7][6650/7390] lr: 2.000e-02, eta: 3:30:22, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0240, loss_cls: 2.9349, loss_bbox: 1.5566, loss: 4.5682 +2022-09-02 04:00:51,271 - mmdet - INFO - Epoch [7][6700/7390] lr: 2.000e-02, eta: 3:30:05, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0232, loss_cls: 2.9241, loss_bbox: 1.5504, loss: 4.5491 +2022-09-02 04:01:07,705 - mmdet - INFO - Epoch [7][6750/7390] lr: 2.000e-02, eta: 3:29:48, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0225, loss_cls: 2.8907, loss_bbox: 1.5630, loss: 4.5275 +2022-09-02 04:01:24,243 - mmdet - INFO - Epoch [7][6800/7390] lr: 2.000e-02, eta: 3:29:31, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 2.9011, loss_bbox: 1.5542, loss: 4.5289 +2022-09-02 04:01:41,282 - mmdet - INFO - Epoch [7][6850/7390] lr: 2.000e-02, eta: 3:29:14, time: 0.341, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0233, loss_cls: 2.9272, loss_bbox: 1.5686, loss: 4.5710 +2022-09-02 04:01:58,138 - mmdet - INFO - Epoch [7][6900/7390] lr: 2.000e-02, eta: 3:28:58, time: 0.337, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0232, loss_cls: 2.9019, loss_bbox: 1.5603, loss: 4.5372 +2022-09-02 04:02:14,737 - mmdet - INFO - Epoch [7][6950/7390] lr: 2.000e-02, eta: 3:28:41, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0232, loss_cls: 2.9140, loss_bbox: 1.5596, loss: 4.5474 +2022-09-02 04:02:31,317 - mmdet - INFO - Epoch [7][7000/7390] lr: 2.000e-02, eta: 3:28:24, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0229, loss_cls: 2.8949, loss_bbox: 1.5575, loss: 4.5266 +2022-09-02 04:02:48,276 - mmdet - INFO - Epoch [7][7050/7390] lr: 2.000e-02, eta: 3:28:07, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.9043, loss_bbox: 1.5577, loss: 4.5369 +2022-09-02 04:03:05,088 - mmdet - INFO - Epoch [7][7100/7390] lr: 2.000e-02, eta: 3:27:51, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0230, loss_cls: 2.9019, loss_bbox: 1.5609, loss: 4.5373 +2022-09-02 04:03:21,821 - mmdet - INFO - Epoch [7][7150/7390] lr: 2.000e-02, eta: 3:27:34, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0230, loss_cls: 2.8976, loss_bbox: 1.5607, loss: 4.5331 +2022-09-02 04:03:41,494 - mmdet - INFO - Epoch [7][7200/7390] lr: 2.000e-02, eta: 3:27:19, time: 0.394, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0236, loss_cls: 2.9112, loss_bbox: 1.5604, loss: 4.5470 +2022-09-02 04:03:58,385 - mmdet - INFO - Epoch [7][7250/7390] lr: 2.000e-02, eta: 3:27:03, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0229, loss_cls: 2.8892, loss_bbox: 1.5561, loss: 4.5190 +2022-09-02 04:04:17,761 - mmdet - INFO - Epoch [7][7300/7390] lr: 2.000e-02, eta: 3:26:48, time: 0.388, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0233, loss_cls: 2.9130, loss_bbox: 1.5555, loss: 4.5434 +2022-09-02 04:04:34,527 - mmdet - INFO - Epoch [7][7350/7390] lr: 2.000e-02, eta: 3:26:31, time: 0.335, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0232, loss_cls: 2.8979, loss_bbox: 1.5632, loss: 4.5356 +2022-09-02 04:04:48,784 - mmdet - INFO - Saving checkpoint at 7 epochs +2022-09-02 04:05:12,786 - mmdet - INFO - Epoch [8][50/7390] lr: 2.000e-02, eta: 3:25:56, time: 0.449, data_time: 0.118, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0231, loss_cls: 2.9056, loss_bbox: 1.5562, loss: 4.5356 +2022-09-02 04:05:32,506 - mmdet - INFO - Epoch [8][100/7390] lr: 2.000e-02, eta: 3:25:41, time: 0.394, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9040, loss_bbox: 1.5592, loss: 4.5381 +2022-09-02 04:05:49,332 - mmdet - INFO - Epoch [8][150/7390] lr: 2.000e-02, eta: 3:25:24, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.9199, loss_bbox: 1.5569, loss: 4.5513 +2022-09-02 04:06:05,890 - mmdet - INFO - Epoch [8][200/7390] lr: 2.000e-02, eta: 3:25:07, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0235, loss_cls: 2.9240, loss_bbox: 1.5439, loss: 4.5432 +2022-09-02 04:06:22,690 - mmdet - INFO - Epoch [8][250/7390] lr: 2.000e-02, eta: 3:24:51, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0231, loss_cls: 2.8988, loss_bbox: 1.5564, loss: 4.5293 +2022-09-02 04:06:39,431 - mmdet - INFO - Epoch [8][300/7390] lr: 2.000e-02, eta: 3:24:34, time: 0.335, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0237, loss_cls: 2.9334, loss_bbox: 1.5471, loss: 4.5563 +2022-09-02 04:06:56,239 - mmdet - INFO - Epoch [8][350/7390] lr: 2.000e-02, eta: 3:24:17, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0232, loss_cls: 2.9145, loss_bbox: 1.5632, loss: 4.5523 +2022-09-02 04:07:13,396 - mmdet - INFO - Epoch [8][400/7390] lr: 2.000e-02, eta: 3:24:01, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0232, loss_cls: 2.8999, loss_bbox: 1.5573, loss: 4.5313 +2022-09-02 04:07:30,000 - mmdet - INFO - Epoch [8][450/7390] lr: 2.000e-02, eta: 3:23:44, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.9184, loss_bbox: 1.5499, loss: 4.5433 +2022-09-02 04:07:46,617 - mmdet - INFO - Epoch [8][500/7390] lr: 2.000e-02, eta: 3:23:27, time: 0.332, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0230, loss_cls: 2.9062, loss_bbox: 1.5564, loss: 4.5367 +2022-09-02 04:08:03,115 - mmdet - INFO - Epoch [8][550/7390] lr: 2.000e-02, eta: 3:23:10, time: 0.330, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.9096, loss_bbox: 1.5557, loss: 4.5406 +2022-09-02 04:08:19,734 - mmdet - INFO - Epoch [8][600/7390] lr: 2.000e-02, eta: 3:22:53, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.9068, loss_bbox: 1.5445, loss: 4.5248 +2022-09-02 04:08:36,226 - mmdet - INFO - Epoch [8][650/7390] lr: 2.000e-02, eta: 3:22:36, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0232, loss_cls: 2.9228, loss_bbox: 1.5707, loss: 4.5684 +2022-09-02 04:08:52,611 - mmdet - INFO - Epoch [8][700/7390] lr: 2.000e-02, eta: 3:22:19, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0232, loss_cls: 2.8858, loss_bbox: 1.5546, loss: 4.5153 +2022-09-02 04:09:09,372 - mmdet - INFO - Epoch [8][750/7390] lr: 2.000e-02, eta: 3:22:03, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.9087, loss_bbox: 1.5569, loss: 4.5405 +2022-09-02 04:09:25,856 - mmdet - INFO - Epoch [8][800/7390] lr: 2.000e-02, eta: 3:21:46, time: 0.329, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0229, loss_cls: 2.9073, loss_bbox: 1.5546, loss: 4.5363 +2022-09-02 04:09:42,765 - mmdet - INFO - Epoch [8][850/7390] lr: 2.000e-02, eta: 3:21:29, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0239, loss_cls: 2.9033, loss_bbox: 1.5460, loss: 4.5255 +2022-09-02 04:09:59,320 - mmdet - INFO - Epoch [8][900/7390] lr: 2.000e-02, eta: 3:21:12, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0224, loss_cls: 2.9045, loss_bbox: 1.5576, loss: 4.5333 +2022-09-02 04:10:16,311 - mmdet - INFO - Epoch [8][950/7390] lr: 2.000e-02, eta: 3:20:56, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.9280, loss_bbox: 1.5574, loss: 4.5608 +2022-09-02 04:10:32,835 - mmdet - INFO - Epoch [8][1000/7390] lr: 2.000e-02, eta: 3:20:39, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.9017, loss_bbox: 1.5600, loss: 4.5369 +2022-09-02 04:10:49,293 - mmdet - INFO - Epoch [8][1050/7390] lr: 2.000e-02, eta: 3:20:22, time: 0.329, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0230, loss_cls: 2.9108, loss_bbox: 1.5482, loss: 4.5332 +2022-09-02 04:11:06,007 - mmdet - INFO - Epoch [8][1100/7390] lr: 2.000e-02, eta: 3:20:05, time: 0.334, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.9120, loss_bbox: 1.5607, loss: 4.5475 +2022-09-02 04:11:22,725 - mmdet - INFO - Epoch [8][1150/7390] lr: 2.000e-02, eta: 3:19:48, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 2.9040, loss_bbox: 1.5532, loss: 4.5321 +2022-09-02 04:11:39,495 - mmdet - INFO - Epoch [8][1200/7390] lr: 2.000e-02, eta: 3:19:32, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0242, loss_cls: 2.9318, loss_bbox: 1.5576, loss: 4.5659 +2022-09-02 04:11:55,716 - mmdet - INFO - Epoch [8][1250/7390] lr: 2.000e-02, eta: 3:19:14, time: 0.325, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0217, loss_cls: 2.8889, loss_bbox: 1.5663, loss: 4.5259 +2022-09-02 04:12:12,273 - mmdet - INFO - Epoch [8][1300/7390] lr: 2.000e-02, eta: 3:18:58, time: 0.330, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0226, loss_cls: 2.9042, loss_bbox: 1.5623, loss: 4.5402 +2022-09-02 04:12:28,551 - mmdet - INFO - Epoch [8][1350/7390] lr: 2.000e-02, eta: 3:18:41, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0227, loss_cls: 2.8878, loss_bbox: 1.5555, loss: 4.5164 +2022-09-02 04:12:45,431 - mmdet - INFO - Epoch [8][1400/7390] lr: 2.000e-02, eta: 3:18:24, time: 0.337, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0230, loss_cls: 2.9050, loss_bbox: 1.5590, loss: 4.5379 +2022-09-02 04:13:01,671 - mmdet - INFO - Epoch [8][1450/7390] lr: 2.000e-02, eta: 3:18:07, time: 0.324, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0230, loss_cls: 2.9029, loss_bbox: 1.5550, loss: 4.5308 +2022-09-02 04:13:18,551 - mmdet - INFO - Epoch [8][1500/7390] lr: 2.000e-02, eta: 3:17:50, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 2.8972, loss_bbox: 1.5577, loss: 4.5298 +2022-09-02 04:13:35,366 - mmdet - INFO - Epoch [8][1550/7390] lr: 2.000e-02, eta: 3:17:33, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0226, loss_cls: 2.8988, loss_bbox: 1.5585, loss: 4.5298 +2022-09-02 04:13:52,040 - mmdet - INFO - Epoch [8][1600/7390] lr: 2.000e-02, eta: 3:17:17, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9032, loss_bbox: 1.5605, loss: 4.5385 +2022-09-02 04:14:08,823 - mmdet - INFO - Epoch [8][1650/7390] lr: 2.000e-02, eta: 3:17:00, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 2.8996, loss_bbox: 1.5570, loss: 4.5324 +2022-09-02 04:14:25,380 - mmdet - INFO - Epoch [8][1700/7390] lr: 2.000e-02, eta: 3:16:43, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0224, loss_cls: 2.8857, loss_bbox: 1.5487, loss: 4.5069 +2022-09-02 04:14:41,578 - mmdet - INFO - Epoch [8][1750/7390] lr: 2.000e-02, eta: 3:16:26, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0226, loss_cls: 2.8968, loss_bbox: 1.5513, loss: 4.5210 +2022-09-02 04:14:58,324 - mmdet - INFO - Epoch [8][1800/7390] lr: 2.000e-02, eta: 3:16:09, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0236, loss_cls: 2.8964, loss_bbox: 1.5559, loss: 4.5273 +2022-09-02 04:15:14,606 - mmdet - INFO - Epoch [8][1850/7390] lr: 2.000e-02, eta: 3:15:52, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0228, loss_cls: 2.8795, loss_bbox: 1.5469, loss: 4.4999 +2022-09-02 04:15:31,292 - mmdet - INFO - Epoch [8][1900/7390] lr: 2.000e-02, eta: 3:15:35, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0228, loss_cls: 2.8956, loss_bbox: 1.5618, loss: 4.5306 +2022-09-02 04:15:47,848 - mmdet - INFO - Epoch [8][1950/7390] lr: 2.000e-02, eta: 3:15:19, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0230, loss_cls: 2.8890, loss_bbox: 1.5645, loss: 4.5274 +2022-09-02 04:16:04,594 - mmdet - INFO - Epoch [8][2000/7390] lr: 2.000e-02, eta: 3:15:02, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0239, loss_cls: 2.9164, loss_bbox: 1.5550, loss: 4.5478 +2022-09-02 04:16:21,472 - mmdet - INFO - Epoch [8][2050/7390] lr: 2.000e-02, eta: 3:14:45, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0232, loss_cls: 2.9027, loss_bbox: 1.5634, loss: 4.5409 +2022-09-02 04:16:38,283 - mmdet - INFO - Epoch [8][2100/7390] lr: 2.000e-02, eta: 3:14:28, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0232, loss_cls: 2.9130, loss_bbox: 1.5509, loss: 4.5387 +2022-09-02 04:16:55,029 - mmdet - INFO - Epoch [8][2150/7390] lr: 2.000e-02, eta: 3:14:12, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0230, loss_cls: 2.9005, loss_bbox: 1.5646, loss: 4.5398 +2022-09-02 04:17:11,521 - mmdet - INFO - Epoch [8][2200/7390] lr: 2.000e-02, eta: 3:13:55, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0235, loss_cls: 2.9027, loss_bbox: 1.5537, loss: 4.5320 +2022-09-02 04:17:27,933 - mmdet - INFO - Epoch [8][2250/7390] lr: 2.000e-02, eta: 3:13:38, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0232, loss_cls: 2.9064, loss_bbox: 1.5528, loss: 4.5344 +2022-09-02 04:17:44,609 - mmdet - INFO - Epoch [8][2300/7390] lr: 2.000e-02, eta: 3:13:21, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0226, loss_cls: 2.9010, loss_bbox: 1.5619, loss: 4.5354 +2022-09-02 04:18:00,933 - mmdet - INFO - Epoch [8][2350/7390] lr: 2.000e-02, eta: 3:13:04, time: 0.327, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0229, loss_cls: 2.9092, loss_bbox: 1.5639, loss: 4.5469 +2022-09-02 04:18:17,658 - mmdet - INFO - Epoch [8][2400/7390] lr: 2.000e-02, eta: 3:12:47, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0232, loss_cls: 2.9077, loss_bbox: 1.5631, loss: 4.5454 +2022-09-02 04:18:34,308 - mmdet - INFO - Epoch [8][2450/7390] lr: 2.000e-02, eta: 3:12:31, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0234, loss_cls: 2.9172, loss_bbox: 1.5482, loss: 4.5405 +2022-09-02 04:18:50,680 - mmdet - INFO - Epoch [8][2500/7390] lr: 2.000e-02, eta: 3:12:14, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.8905, loss_bbox: 1.5587, loss: 4.5223 +2022-09-02 04:19:07,101 - mmdet - INFO - Epoch [8][2550/7390] lr: 2.000e-02, eta: 3:11:57, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0230, loss_cls: 2.9128, loss_bbox: 1.5611, loss: 4.5484 +2022-09-02 04:19:24,251 - mmdet - INFO - Epoch [8][2600/7390] lr: 2.000e-02, eta: 3:11:40, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0233, loss_cls: 2.8944, loss_bbox: 1.5592, loss: 4.5284 +2022-09-02 04:19:41,220 - mmdet - INFO - Epoch [8][2650/7390] lr: 2.000e-02, eta: 3:11:24, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0236, loss_cls: 2.8991, loss_bbox: 1.5694, loss: 4.5449 +2022-09-02 04:19:58,210 - mmdet - INFO - Epoch [8][2700/7390] lr: 2.000e-02, eta: 3:11:07, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.9016, loss_bbox: 1.5523, loss: 4.5267 +2022-09-02 04:20:14,771 - mmdet - INFO - Epoch [8][2750/7390] lr: 2.000e-02, eta: 3:10:50, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0232, loss_cls: 2.8972, loss_bbox: 1.5562, loss: 4.5276 +2022-09-02 04:20:31,408 - mmdet - INFO - Epoch [8][2800/7390] lr: 2.000e-02, eta: 3:10:33, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0234, loss_cls: 2.8866, loss_bbox: 1.5573, loss: 4.5193 +2022-09-02 04:20:47,757 - mmdet - INFO - Epoch [8][2850/7390] lr: 2.000e-02, eta: 3:10:16, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0229, loss_cls: 2.9029, loss_bbox: 1.5582, loss: 4.5356 +2022-09-02 04:21:04,379 - mmdet - INFO - Epoch [8][2900/7390] lr: 2.000e-02, eta: 3:09:59, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0225, loss_cls: 2.8810, loss_bbox: 1.5592, loss: 4.5130 +2022-09-02 04:21:21,447 - mmdet - INFO - Epoch [8][2950/7390] lr: 2.000e-02, eta: 3:09:43, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9066, loss_bbox: 1.5594, loss: 4.5416 +2022-09-02 04:21:38,195 - mmdet - INFO - Epoch [8][3000/7390] lr: 2.000e-02, eta: 3:09:26, time: 0.335, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0231, loss_cls: 2.9033, loss_bbox: 1.5600, loss: 4.5372 +2022-09-02 04:21:55,471 - mmdet - INFO - Epoch [8][3050/7390] lr: 2.000e-02, eta: 3:09:10, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0241, loss_cls: 2.9081, loss_bbox: 1.5560, loss: 4.5416 +2022-09-02 04:22:12,000 - mmdet - INFO - Epoch [8][3100/7390] lr: 2.000e-02, eta: 3:08:53, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0225, loss_cls: 2.8823, loss_bbox: 1.5626, loss: 4.5173 +2022-09-02 04:22:28,489 - mmdet - INFO - Epoch [8][3150/7390] lr: 2.000e-02, eta: 3:08:36, time: 0.329, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.8952, loss_bbox: 1.5602, loss: 4.5299 +2022-09-02 04:22:45,028 - mmdet - INFO - Epoch [8][3200/7390] lr: 2.000e-02, eta: 3:08:19, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0231, loss_cls: 2.8980, loss_bbox: 1.5617, loss: 4.5344 +2022-09-02 04:23:02,057 - mmdet - INFO - Epoch [8][3250/7390] lr: 2.000e-02, eta: 3:08:03, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 2.9168, loss_bbox: 1.5461, loss: 4.5388 +2022-09-02 04:23:18,922 - mmdet - INFO - Epoch [8][3300/7390] lr: 2.000e-02, eta: 3:07:46, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.9243, loss_bbox: 1.5615, loss: 4.5608 +2022-09-02 04:23:35,689 - mmdet - INFO - Epoch [8][3350/7390] lr: 2.000e-02, eta: 3:07:29, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0234, loss_cls: 2.9021, loss_bbox: 1.5562, loss: 4.5336 +2022-09-02 04:23:52,268 - mmdet - INFO - Epoch [8][3400/7390] lr: 2.000e-02, eta: 3:07:12, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0231, loss_cls: 2.9176, loss_bbox: 1.5568, loss: 4.5493 +2022-09-02 04:24:08,656 - mmdet - INFO - Epoch [8][3450/7390] lr: 2.000e-02, eta: 3:06:55, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.9138, loss_bbox: 1.5435, loss: 4.5323 +2022-09-02 04:24:25,031 - mmdet - INFO - Epoch [8][3500/7390] lr: 2.000e-02, eta: 3:06:38, time: 0.327, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0227, loss_cls: 2.9061, loss_bbox: 1.5584, loss: 4.5383 +2022-09-02 04:24:41,351 - mmdet - INFO - Epoch [8][3550/7390] lr: 2.000e-02, eta: 3:06:21, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0226, loss_cls: 2.8896, loss_bbox: 1.5625, loss: 4.5255 +2022-09-02 04:24:58,037 - mmdet - INFO - Epoch [8][3600/7390] lr: 2.000e-02, eta: 3:06:05, time: 0.333, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0229, loss_cls: 2.9082, loss_bbox: 1.5526, loss: 4.5351 +2022-09-02 04:25:14,676 - mmdet - INFO - Epoch [8][3650/7390] lr: 2.000e-02, eta: 3:05:48, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0228, loss_cls: 2.9041, loss_bbox: 1.5513, loss: 4.5284 +2022-09-02 04:25:31,509 - mmdet - INFO - Epoch [8][3700/7390] lr: 2.000e-02, eta: 3:05:31, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0243, loss_cls: 2.9332, loss_bbox: 1.5515, loss: 4.5616 +2022-09-02 04:25:48,798 - mmdet - INFO - Epoch [8][3750/7390] lr: 2.000e-02, eta: 3:05:15, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0237, loss_cls: 2.9113, loss_bbox: 1.5531, loss: 4.5395 +2022-09-02 04:26:05,753 - mmdet - INFO - Epoch [8][3800/7390] lr: 2.000e-02, eta: 3:04:58, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0232, loss_cls: 2.8960, loss_bbox: 1.5561, loss: 4.5267 +2022-09-02 04:26:22,319 - mmdet - INFO - Epoch [8][3850/7390] lr: 2.000e-02, eta: 3:04:41, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0230, loss_cls: 2.9014, loss_bbox: 1.5466, loss: 4.5219 +2022-09-02 04:26:38,944 - mmdet - INFO - Epoch [8][3900/7390] lr: 2.000e-02, eta: 3:04:25, time: 0.333, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0230, loss_cls: 2.8943, loss_bbox: 1.5547, loss: 4.5232 +2022-09-02 04:26:55,498 - mmdet - INFO - Epoch [8][3950/7390] lr: 2.000e-02, eta: 3:04:08, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.9162, loss_bbox: 1.5569, loss: 4.5473 +2022-09-02 04:27:12,102 - mmdet - INFO - Epoch [8][4000/7390] lr: 2.000e-02, eta: 3:03:51, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0231, loss_cls: 2.9101, loss_bbox: 1.5584, loss: 4.5430 +2022-09-02 04:27:28,441 - mmdet - INFO - Epoch [8][4050/7390] lr: 2.000e-02, eta: 3:03:34, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0225, loss_cls: 2.8965, loss_bbox: 1.5564, loss: 4.5251 +2022-09-02 04:27:44,977 - mmdet - INFO - Epoch [8][4100/7390] lr: 2.000e-02, eta: 3:03:17, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0233, loss_cls: 2.9239, loss_bbox: 1.5647, loss: 4.5631 +2022-09-02 04:28:01,640 - mmdet - INFO - Epoch [8][4150/7390] lr: 2.000e-02, eta: 3:03:00, time: 0.333, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.8928, loss_bbox: 1.5617, loss: 4.5288 +2022-09-02 04:28:18,218 - mmdet - INFO - Epoch [8][4200/7390] lr: 2.000e-02, eta: 3:02:43, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.9103, loss_bbox: 1.5585, loss: 4.5420 +2022-09-02 04:28:35,233 - mmdet - INFO - Epoch [8][4250/7390] lr: 2.000e-02, eta: 3:02:27, time: 0.341, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0237, loss_cls: 2.9053, loss_bbox: 1.5500, loss: 4.5314 +2022-09-02 04:28:51,919 - mmdet - INFO - Epoch [8][4300/7390] lr: 2.000e-02, eta: 3:02:10, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0233, loss_cls: 2.9000, loss_bbox: 1.5530, loss: 4.5283 +2022-09-02 04:29:08,724 - mmdet - INFO - Epoch [8][4350/7390] lr: 2.000e-02, eta: 3:01:53, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0229, loss_cls: 2.9126, loss_bbox: 1.5615, loss: 4.5479 +2022-09-02 04:29:25,544 - mmdet - INFO - Epoch [8][4400/7390] lr: 2.000e-02, eta: 3:01:37, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0230, loss_cls: 2.9105, loss_bbox: 1.5447, loss: 4.5290 +2022-09-02 04:29:41,958 - mmdet - INFO - Epoch [8][4450/7390] lr: 2.000e-02, eta: 3:01:20, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0227, loss_cls: 2.8996, loss_bbox: 1.5523, loss: 4.5255 +2022-09-02 04:29:58,895 - mmdet - INFO - Epoch [8][4500/7390] lr: 2.000e-02, eta: 3:01:03, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0233, loss_cls: 2.9013, loss_bbox: 1.5522, loss: 4.5275 +2022-09-02 04:30:15,631 - mmdet - INFO - Epoch [8][4550/7390] lr: 2.000e-02, eta: 3:00:46, time: 0.334, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 2.9058, loss_bbox: 1.5595, loss: 4.5387 +2022-09-02 04:30:32,670 - mmdet - INFO - Epoch [8][4600/7390] lr: 2.000e-02, eta: 3:00:30, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0233, loss_cls: 2.8806, loss_bbox: 1.5483, loss: 4.5039 +2022-09-02 04:30:49,228 - mmdet - INFO - Epoch [8][4650/7390] lr: 2.000e-02, eta: 3:00:13, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0231, loss_cls: 2.9077, loss_bbox: 1.5569, loss: 4.5384 +2022-09-02 04:31:05,936 - mmdet - INFO - Epoch [8][4700/7390] lr: 2.000e-02, eta: 2:59:56, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0226, loss_cls: 2.8855, loss_bbox: 1.5622, loss: 4.5212 +2022-09-02 04:31:21,927 - mmdet - INFO - Epoch [8][4750/7390] lr: 2.000e-02, eta: 2:59:39, time: 0.320, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0220, loss_cls: 2.8974, loss_bbox: 1.5676, loss: 4.5364 +2022-09-02 04:31:38,086 - mmdet - INFO - Epoch [8][4800/7390] lr: 2.000e-02, eta: 2:59:22, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0224, loss_cls: 2.9013, loss_bbox: 1.5547, loss: 4.5286 +2022-09-02 04:31:54,848 - mmdet - INFO - Epoch [8][4850/7390] lr: 2.000e-02, eta: 2:59:05, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.9041, loss_bbox: 1.5582, loss: 4.5354 +2022-09-02 04:32:11,114 - mmdet - INFO - Epoch [8][4900/7390] lr: 2.000e-02, eta: 2:58:48, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0231, loss_cls: 2.9167, loss_bbox: 1.5593, loss: 4.5509 +2022-09-02 04:32:27,833 - mmdet - INFO - Epoch [8][4950/7390] lr: 2.000e-02, eta: 2:58:32, time: 0.334, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0228, loss_cls: 2.9000, loss_bbox: 1.5580, loss: 4.5324 +2022-09-02 04:32:44,611 - mmdet - INFO - Epoch [8][5000/7390] lr: 2.000e-02, eta: 2:58:15, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0222, loss_cls: 2.8794, loss_bbox: 1.5641, loss: 4.5151 +2022-09-02 04:33:01,731 - mmdet - INFO - Epoch [8][5050/7390] lr: 2.000e-02, eta: 2:57:58, time: 0.343, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9094, loss_bbox: 1.5529, loss: 4.5371 +2022-09-02 04:33:18,798 - mmdet - INFO - Epoch [8][5100/7390] lr: 2.000e-02, eta: 2:57:42, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0238, loss_cls: 2.9057, loss_bbox: 1.5535, loss: 4.5345 +2022-09-02 04:33:35,947 - mmdet - INFO - Epoch [8][5150/7390] lr: 2.000e-02, eta: 2:57:25, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0238, loss_cls: 2.9198, loss_bbox: 1.5633, loss: 4.5587 +2022-09-02 04:33:52,637 - mmdet - INFO - Epoch [8][5200/7390] lr: 2.000e-02, eta: 2:57:08, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0234, loss_cls: 2.9043, loss_bbox: 1.5586, loss: 4.5374 +2022-09-02 04:34:09,055 - mmdet - INFO - Epoch [8][5250/7390] lr: 2.000e-02, eta: 2:56:52, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0225, loss_cls: 2.8957, loss_bbox: 1.5565, loss: 4.5246 +2022-09-02 04:34:25,662 - mmdet - INFO - Epoch [8][5300/7390] lr: 2.000e-02, eta: 2:56:35, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0228, loss_cls: 2.9004, loss_bbox: 1.5599, loss: 4.5344 +2022-09-02 04:34:42,829 - mmdet - INFO - Epoch [8][5350/7390] lr: 2.000e-02, eta: 2:56:18, time: 0.343, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0233, loss_cls: 2.9100, loss_bbox: 1.5554, loss: 4.5404 +2022-09-02 04:34:59,215 - mmdet - INFO - Epoch [8][5400/7390] lr: 2.000e-02, eta: 2:56:01, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0226, loss_cls: 2.8979, loss_bbox: 1.5500, loss: 4.5207 +2022-09-02 04:35:15,870 - mmdet - INFO - Epoch [8][5450/7390] lr: 2.000e-02, eta: 2:55:45, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0235, loss_cls: 2.9172, loss_bbox: 1.5519, loss: 4.5442 +2022-09-02 04:35:32,418 - mmdet - INFO - Epoch [8][5500/7390] lr: 2.000e-02, eta: 2:55:28, time: 0.330, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0226, loss_cls: 2.9080, loss_bbox: 1.5567, loss: 4.5369 +2022-09-02 04:35:49,423 - mmdet - INFO - Epoch [8][5550/7390] lr: 2.000e-02, eta: 2:55:11, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0236, loss_cls: 2.9283, loss_bbox: 1.5501, loss: 4.5538 +2022-09-02 04:36:06,166 - mmdet - INFO - Epoch [8][5600/7390] lr: 2.000e-02, eta: 2:54:54, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0226, loss_cls: 2.8983, loss_bbox: 1.5600, loss: 4.5310 +2022-09-02 04:36:22,476 - mmdet - INFO - Epoch [8][5650/7390] lr: 2.000e-02, eta: 2:54:37, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 2.9119, loss_bbox: 1.5565, loss: 4.5418 +2022-09-02 04:36:39,141 - mmdet - INFO - Epoch [8][5700/7390] lr: 2.000e-02, eta: 2:54:21, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0228, loss_cls: 2.8787, loss_bbox: 1.5464, loss: 4.4984 +2022-09-02 04:36:55,677 - mmdet - INFO - Epoch [8][5750/7390] lr: 2.000e-02, eta: 2:54:04, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0232, loss_cls: 2.8952, loss_bbox: 1.5475, loss: 4.5174 +2022-09-02 04:37:11,885 - mmdet - INFO - Epoch [8][5800/7390] lr: 2.000e-02, eta: 2:53:47, time: 0.324, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0226, loss_cls: 2.8713, loss_bbox: 1.5543, loss: 4.4980 +2022-09-02 04:37:28,505 - mmdet - INFO - Epoch [8][5850/7390] lr: 2.000e-02, eta: 2:53:30, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0231, loss_cls: 2.8843, loss_bbox: 1.5553, loss: 4.5140 +2022-09-02 04:37:45,178 - mmdet - INFO - Epoch [8][5900/7390] lr: 2.000e-02, eta: 2:53:13, time: 0.333, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.9151, loss_bbox: 1.5568, loss: 4.5456 +2022-09-02 04:38:01,869 - mmdet - INFO - Epoch [8][5950/7390] lr: 2.000e-02, eta: 2:52:56, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0239, loss_cls: 2.9242, loss_bbox: 1.5563, loss: 4.5556 +2022-09-02 04:38:18,873 - mmdet - INFO - Epoch [8][6000/7390] lr: 2.000e-02, eta: 2:52:40, time: 0.340, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0242, loss_cls: 2.9249, loss_bbox: 1.5538, loss: 4.5570 +2022-09-02 04:38:35,104 - mmdet - INFO - Epoch [8][6050/7390] lr: 2.000e-02, eta: 2:52:23, time: 0.325, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0222, loss_cls: 2.9045, loss_bbox: 1.5513, loss: 4.5269 +2022-09-02 04:38:51,910 - mmdet - INFO - Epoch [8][6100/7390] lr: 2.000e-02, eta: 2:52:06, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0232, loss_cls: 2.9006, loss_bbox: 1.5489, loss: 4.5240 +2022-09-02 04:39:08,872 - mmdet - INFO - Epoch [8][6150/7390] lr: 2.000e-02, eta: 2:51:49, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0233, loss_cls: 2.9023, loss_bbox: 1.5545, loss: 4.5319 +2022-09-02 04:39:25,676 - mmdet - INFO - Epoch [8][6200/7390] lr: 2.000e-02, eta: 2:51:33, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0233, loss_cls: 2.9095, loss_bbox: 1.5671, loss: 4.5508 +2022-09-02 04:39:42,171 - mmdet - INFO - Epoch [8][6250/7390] lr: 2.000e-02, eta: 2:51:16, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0232, loss_cls: 2.8919, loss_bbox: 1.5525, loss: 4.5187 +2022-09-02 04:39:58,775 - mmdet - INFO - Epoch [8][6300/7390] lr: 2.000e-02, eta: 2:50:59, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9304, loss_bbox: 1.5493, loss: 4.5544 +2022-09-02 04:40:15,344 - mmdet - INFO - Epoch [8][6350/7390] lr: 2.000e-02, eta: 2:50:42, time: 0.332, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0229, loss_cls: 2.8985, loss_bbox: 1.5549, loss: 4.5271 +2022-09-02 04:40:32,218 - mmdet - INFO - Epoch [8][6400/7390] lr: 2.000e-02, eta: 2:50:26, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.9089, loss_bbox: 1.5391, loss: 4.5229 +2022-09-02 04:40:48,511 - mmdet - INFO - Epoch [8][6450/7390] lr: 2.000e-02, eta: 2:50:09, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0224, loss_cls: 2.8970, loss_bbox: 1.5601, loss: 4.5295 +2022-09-02 04:41:05,391 - mmdet - INFO - Epoch [8][6500/7390] lr: 2.000e-02, eta: 2:49:52, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0230, loss_cls: 2.8996, loss_bbox: 1.5563, loss: 4.5286 +2022-09-02 04:41:22,470 - mmdet - INFO - Epoch [8][6550/7390] lr: 2.000e-02, eta: 2:49:35, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0232, loss_cls: 2.8833, loss_bbox: 1.5511, loss: 4.5084 +2022-09-02 04:41:39,439 - mmdet - INFO - Epoch [8][6600/7390] lr: 2.000e-02, eta: 2:49:19, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 2.9098, loss_bbox: 1.5450, loss: 4.5303 +2022-09-02 04:41:56,743 - mmdet - INFO - Epoch [8][6650/7390] lr: 2.000e-02, eta: 2:49:02, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0230, loss_cls: 2.9069, loss_bbox: 1.5539, loss: 4.5342 +2022-09-02 04:42:13,521 - mmdet - INFO - Epoch [8][6700/7390] lr: 2.000e-02, eta: 2:48:46, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0227, loss_cls: 2.8961, loss_bbox: 1.5524, loss: 4.5215 +2022-09-02 04:42:29,970 - mmdet - INFO - Epoch [8][6750/7390] lr: 2.000e-02, eta: 2:48:29, time: 0.329, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0222, loss_cls: 2.8875, loss_bbox: 1.5573, loss: 4.5172 +2022-09-02 04:42:46,803 - mmdet - INFO - Epoch [8][6800/7390] lr: 2.000e-02, eta: 2:48:12, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0226, loss_cls: 2.8929, loss_bbox: 1.5554, loss: 4.5207 +2022-09-02 04:43:03,365 - mmdet - INFO - Epoch [8][6850/7390] lr: 2.000e-02, eta: 2:47:55, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0226, loss_cls: 2.9056, loss_bbox: 1.5513, loss: 4.5302 +2022-09-02 04:43:20,340 - mmdet - INFO - Epoch [8][6900/7390] lr: 2.000e-02, eta: 2:47:39, time: 0.338, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0233, loss_cls: 2.9061, loss_bbox: 1.5608, loss: 4.5416 +2022-09-02 04:43:36,980 - mmdet - INFO - Epoch [8][6950/7390] lr: 2.000e-02, eta: 2:47:22, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.9107, loss_bbox: 1.5573, loss: 4.5428 +2022-09-02 04:43:53,680 - mmdet - INFO - Epoch [8][7000/7390] lr: 2.000e-02, eta: 2:47:05, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0232, loss_cls: 2.9004, loss_bbox: 1.5486, loss: 4.5228 +2022-09-02 04:44:10,015 - mmdet - INFO - Epoch [8][7050/7390] lr: 2.000e-02, eta: 2:46:48, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0233, loss_cls: 2.9028, loss_bbox: 1.5506, loss: 4.5275 +2022-09-02 04:44:26,939 - mmdet - INFO - Epoch [8][7100/7390] lr: 2.000e-02, eta: 2:46:31, time: 0.338, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0232, loss_cls: 2.9028, loss_bbox: 1.5534, loss: 4.5305 +2022-09-02 04:44:44,029 - mmdet - INFO - Epoch [8][7150/7390] lr: 2.000e-02, eta: 2:46:15, time: 0.341, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0239, loss_cls: 2.9250, loss_bbox: 1.5457, loss: 4.5468 +2022-09-02 04:45:00,684 - mmdet - INFO - Epoch [8][7200/7390] lr: 2.000e-02, eta: 2:45:58, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0228, loss_cls: 2.9040, loss_bbox: 1.5576, loss: 4.5345 +2022-09-02 04:45:16,856 - mmdet - INFO - Epoch [8][7250/7390] lr: 2.000e-02, eta: 2:45:41, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.9061, loss_bbox: 1.5514, loss: 4.5302 +2022-09-02 04:45:34,154 - mmdet - INFO - Epoch [8][7300/7390] lr: 2.000e-02, eta: 2:45:25, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0240, loss_cls: 2.9135, loss_bbox: 1.5379, loss: 4.5269 +2022-09-02 04:45:50,272 - mmdet - INFO - Epoch [8][7350/7390] lr: 2.000e-02, eta: 2:45:08, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0223, loss_cls: 2.8801, loss_bbox: 1.5526, loss: 4.5045 +2022-09-02 04:46:03,642 - mmdet - INFO - Saving checkpoint at 8 epochs +2022-09-02 04:46:25,372 - mmdet - INFO - Epoch [9][50/7390] lr: 2.000e-03, eta: 2:44:33, time: 0.406, data_time: 0.072, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0231, loss_cls: 2.8761, loss_bbox: 1.5438, loss: 4.4940 +2022-09-02 04:46:42,159 - mmdet - INFO - Epoch [9][100/7390] lr: 2.000e-03, eta: 2:44:16, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0227, loss_cls: 2.8660, loss_bbox: 1.5388, loss: 4.4774 +2022-09-02 04:46:58,717 - mmdet - INFO - Epoch [9][150/7390] lr: 2.000e-03, eta: 2:43:59, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0228, loss_cls: 2.8603, loss_bbox: 1.5341, loss: 4.4680 +2022-09-02 04:47:15,430 - mmdet - INFO - Epoch [9][200/7390] lr: 2.000e-03, eta: 2:43:42, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0229, loss_cls: 2.8641, loss_bbox: 1.5430, loss: 4.4811 +2022-09-02 04:47:32,122 - mmdet - INFO - Epoch [9][250/7390] lr: 2.000e-03, eta: 2:43:26, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0229, loss_cls: 2.8560, loss_bbox: 1.5420, loss: 4.4717 +2022-09-02 04:47:49,088 - mmdet - INFO - Epoch [9][300/7390] lr: 2.000e-03, eta: 2:43:09, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.8751, loss_bbox: 1.5398, loss: 4.4893 +2022-09-02 04:48:06,018 - mmdet - INFO - Epoch [9][350/7390] lr: 2.000e-03, eta: 2:42:52, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0235, loss_cls: 2.8730, loss_bbox: 1.5259, loss: 4.4729 +2022-09-02 04:48:23,111 - mmdet - INFO - Epoch [9][400/7390] lr: 2.000e-03, eta: 2:42:36, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.8557, loss_bbox: 1.5375, loss: 4.4660 +2022-09-02 04:48:40,393 - mmdet - INFO - Epoch [9][450/7390] lr: 2.000e-03, eta: 2:42:19, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0237, loss_cls: 2.8606, loss_bbox: 1.5330, loss: 4.4692 +2022-09-02 04:48:56,419 - mmdet - INFO - Epoch [9][500/7390] lr: 2.000e-03, eta: 2:42:02, time: 0.320, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0220, loss_cls: 2.8441, loss_bbox: 1.5546, loss: 4.4700 +2022-09-02 04:49:12,945 - mmdet - INFO - Epoch [9][550/7390] lr: 2.000e-03, eta: 2:41:45, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.8754, loss_bbox: 1.5347, loss: 4.4829 +2022-09-02 04:49:29,678 - mmdet - INFO - Epoch [9][600/7390] lr: 2.000e-03, eta: 2:41:29, time: 0.334, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0233, loss_cls: 2.8835, loss_bbox: 1.5340, loss: 4.4926 +2022-09-02 04:49:46,296 - mmdet - INFO - Epoch [9][650/7390] lr: 2.000e-03, eta: 2:41:12, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.8741, loss_bbox: 1.5406, loss: 4.4894 +2022-09-02 04:50:02,906 - mmdet - INFO - Epoch [9][700/7390] lr: 2.000e-03, eta: 2:40:55, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0228, loss_cls: 2.8489, loss_bbox: 1.5481, loss: 4.4701 +2022-09-02 04:50:19,651 - mmdet - INFO - Epoch [9][750/7390] lr: 2.000e-03, eta: 2:40:38, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.8567, loss_bbox: 1.5429, loss: 4.4733 +2022-09-02 04:50:36,453 - mmdet - INFO - Epoch [9][800/7390] lr: 2.000e-03, eta: 2:40:22, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0231, loss_cls: 2.8692, loss_bbox: 1.5292, loss: 4.4716 +2022-09-02 04:50:53,384 - mmdet - INFO - Epoch [9][850/7390] lr: 2.000e-03, eta: 2:40:05, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0233, loss_cls: 2.8432, loss_bbox: 1.5332, loss: 4.4500 +2022-09-02 04:51:09,925 - mmdet - INFO - Epoch [9][900/7390] lr: 2.000e-03, eta: 2:39:48, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0228, loss_cls: 2.8518, loss_bbox: 1.5363, loss: 4.4611 +2022-09-02 04:51:26,559 - mmdet - INFO - Epoch [9][950/7390] lr: 2.000e-03, eta: 2:39:32, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0227, loss_cls: 2.8485, loss_bbox: 1.5443, loss: 4.4660 +2022-09-02 04:51:43,634 - mmdet - INFO - Epoch [9][1000/7390] lr: 2.000e-03, eta: 2:39:15, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0237, loss_cls: 2.8710, loss_bbox: 1.5438, loss: 4.4893 +2022-09-02 04:52:00,550 - mmdet - INFO - Epoch [9][1050/7390] lr: 2.000e-03, eta: 2:38:58, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0232, loss_cls: 2.8714, loss_bbox: 1.5320, loss: 4.4770 +2022-09-02 04:52:17,270 - mmdet - INFO - Epoch [9][1100/7390] lr: 2.000e-03, eta: 2:38:42, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0227, loss_cls: 2.8483, loss_bbox: 1.5326, loss: 4.4538 +2022-09-02 04:52:34,234 - mmdet - INFO - Epoch [9][1150/7390] lr: 2.000e-03, eta: 2:38:25, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 2.8481, loss_bbox: 1.5350, loss: 4.4567 +2022-09-02 04:52:51,350 - mmdet - INFO - Epoch [9][1200/7390] lr: 2.000e-03, eta: 2:38:08, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.8831, loss_bbox: 1.5352, loss: 4.4930 +2022-09-02 04:53:08,548 - mmdet - INFO - Epoch [9][1250/7390] lr: 2.000e-03, eta: 2:37:52, time: 0.344, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.8876, loss_bbox: 1.5350, loss: 4.4972 +2022-09-02 04:53:25,390 - mmdet - INFO - Epoch [9][1300/7390] lr: 2.000e-03, eta: 2:37:35, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0227, loss_cls: 2.8539, loss_bbox: 1.5465, loss: 4.4732 +2022-09-02 04:53:41,984 - mmdet - INFO - Epoch [9][1350/7390] lr: 2.000e-03, eta: 2:37:18, time: 0.332, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0222, loss_cls: 2.8472, loss_bbox: 1.5427, loss: 4.4608 +2022-09-02 04:53:58,987 - mmdet - INFO - Epoch [9][1400/7390] lr: 2.000e-03, eta: 2:37:02, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0229, loss_cls: 2.8518, loss_bbox: 1.5358, loss: 4.4610 +2022-09-02 04:54:16,312 - mmdet - INFO - Epoch [9][1450/7390] lr: 2.000e-03, eta: 2:36:45, time: 0.347, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0237, loss_cls: 2.8744, loss_bbox: 1.5374, loss: 4.4875 +2022-09-02 04:54:33,347 - mmdet - INFO - Epoch [9][1500/7390] lr: 2.000e-03, eta: 2:36:29, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0238, loss_cls: 2.8674, loss_bbox: 1.5354, loss: 4.4784 +2022-09-02 04:54:49,815 - mmdet - INFO - Epoch [9][1550/7390] lr: 2.000e-03, eta: 2:36:12, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0227, loss_cls: 2.8530, loss_bbox: 1.5345, loss: 4.4601 +2022-09-02 04:55:06,749 - mmdet - INFO - Epoch [9][1600/7390] lr: 2.000e-03, eta: 2:35:55, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0230, loss_cls: 2.8620, loss_bbox: 1.5479, loss: 4.4835 +2022-09-02 04:55:23,351 - mmdet - INFO - Epoch [9][1650/7390] lr: 2.000e-03, eta: 2:35:39, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0226, loss_cls: 2.8443, loss_bbox: 1.5461, loss: 4.4644 +2022-09-02 04:55:39,972 - mmdet - INFO - Epoch [9][1700/7390] lr: 2.000e-03, eta: 2:35:22, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 2.8578, loss_bbox: 1.5380, loss: 4.4694 +2022-09-02 04:55:56,394 - mmdet - INFO - Epoch [9][1750/7390] lr: 2.000e-03, eta: 2:35:05, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0227, loss_cls: 2.8512, loss_bbox: 1.5356, loss: 4.4595 +2022-09-02 04:56:13,422 - mmdet - INFO - Epoch [9][1800/7390] lr: 2.000e-03, eta: 2:34:48, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0235, loss_cls: 2.8580, loss_bbox: 1.5274, loss: 4.4597 +2022-09-02 04:56:30,243 - mmdet - INFO - Epoch [9][1850/7390] lr: 2.000e-03, eta: 2:34:32, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0229, loss_cls: 2.8676, loss_bbox: 1.5319, loss: 4.4722 +2022-09-02 04:56:47,065 - mmdet - INFO - Epoch [9][1900/7390] lr: 2.000e-03, eta: 2:34:15, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 2.8680, loss_bbox: 1.5345, loss: 4.4760 +2022-09-02 04:57:03,763 - mmdet - INFO - Epoch [9][1950/7390] lr: 2.000e-03, eta: 2:33:58, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0226, loss_cls: 2.8601, loss_bbox: 1.5318, loss: 4.4638 +2022-09-02 04:57:20,707 - mmdet - INFO - Epoch [9][2000/7390] lr: 2.000e-03, eta: 2:33:42, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0234, loss_cls: 2.8701, loss_bbox: 1.5372, loss: 4.4818 +2022-09-02 04:57:37,226 - mmdet - INFO - Epoch [9][2050/7390] lr: 2.000e-03, eta: 2:33:25, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0223, loss_cls: 2.8654, loss_bbox: 1.5350, loss: 4.4721 +2022-09-02 04:57:54,291 - mmdet - INFO - Epoch [9][2100/7390] lr: 2.000e-03, eta: 2:33:08, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0233, loss_cls: 2.8607, loss_bbox: 1.5320, loss: 4.4663 +2022-09-02 04:58:11,182 - mmdet - INFO - Epoch [9][2150/7390] lr: 2.000e-03, eta: 2:32:51, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0229, loss_cls: 2.8450, loss_bbox: 1.5346, loss: 4.4533 +2022-09-02 04:58:28,180 - mmdet - INFO - Epoch [9][2200/7390] lr: 2.000e-03, eta: 2:32:35, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.8672, loss_bbox: 1.5351, loss: 4.4770 +2022-09-02 04:58:44,930 - mmdet - INFO - Epoch [9][2250/7390] lr: 2.000e-03, eta: 2:32:18, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0237, loss_cls: 2.8763, loss_bbox: 1.5361, loss: 4.4875 +2022-09-02 04:59:01,626 - mmdet - INFO - Epoch [9][2300/7390] lr: 2.000e-03, eta: 2:32:01, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0233, loss_cls: 2.8839, loss_bbox: 1.5355, loss: 4.4931 +2022-09-02 04:59:18,637 - mmdet - INFO - Epoch [9][2350/7390] lr: 2.000e-03, eta: 2:31:45, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0229, loss_cls: 2.8712, loss_bbox: 1.5285, loss: 4.4721 +2022-09-02 04:59:35,961 - mmdet - INFO - Epoch [9][2400/7390] lr: 2.000e-03, eta: 2:31:28, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0238, loss_cls: 2.8856, loss_bbox: 1.5356, loss: 4.4958 +2022-09-02 04:59:52,986 - mmdet - INFO - Epoch [9][2450/7390] lr: 2.000e-03, eta: 2:31:12, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0228, loss_cls: 2.8614, loss_bbox: 1.5410, loss: 4.4752 +2022-09-02 05:00:09,710 - mmdet - INFO - Epoch [9][2500/7390] lr: 2.000e-03, eta: 2:30:55, time: 0.334, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.8598, loss_bbox: 1.5331, loss: 4.4660 +2022-09-02 05:00:26,561 - mmdet - INFO - Epoch [9][2550/7390] lr: 2.000e-03, eta: 2:30:38, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0227, loss_cls: 2.8780, loss_bbox: 1.5433, loss: 4.4933 +2022-09-02 05:00:43,067 - mmdet - INFO - Epoch [9][2600/7390] lr: 2.000e-03, eta: 2:30:21, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0228, loss_cls: 2.8556, loss_bbox: 1.5218, loss: 4.4502 +2022-09-02 05:01:00,346 - mmdet - INFO - Epoch [9][2650/7390] lr: 2.000e-03, eta: 2:30:05, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0236, loss_cls: 2.8722, loss_bbox: 1.5327, loss: 4.4812 +2022-09-02 05:01:17,667 - mmdet - INFO - Epoch [9][2700/7390] lr: 2.000e-03, eta: 2:29:48, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0230, loss_cls: 2.8681, loss_bbox: 1.5322, loss: 4.4736 +2022-09-02 05:01:34,084 - mmdet - INFO - Epoch [9][2750/7390] lr: 2.000e-03, eta: 2:29:32, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0225, loss_cls: 2.8560, loss_bbox: 1.5387, loss: 4.4668 +2022-09-02 05:01:51,306 - mmdet - INFO - Epoch [9][2800/7390] lr: 2.000e-03, eta: 2:29:15, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0232, loss_cls: 2.8649, loss_bbox: 1.5375, loss: 4.4759 +2022-09-02 05:02:08,412 - mmdet - INFO - Epoch [9][2850/7390] lr: 2.000e-03, eta: 2:28:58, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0232, loss_cls: 2.8813, loss_bbox: 1.5227, loss: 4.4781 +2022-09-02 05:02:25,267 - mmdet - INFO - Epoch [9][2900/7390] lr: 2.000e-03, eta: 2:28:42, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8617, loss_bbox: 1.5232, loss: 4.4583 +2022-09-02 05:02:42,289 - mmdet - INFO - Epoch [9][2950/7390] lr: 2.000e-03, eta: 2:28:25, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 2.8796, loss_bbox: 1.5347, loss: 4.4877 +2022-09-02 05:02:58,805 - mmdet - INFO - Epoch [9][3000/7390] lr: 2.000e-03, eta: 2:28:08, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0227, loss_cls: 2.8727, loss_bbox: 1.5449, loss: 4.4902 +2022-09-02 05:03:15,419 - mmdet - INFO - Epoch [9][3050/7390] lr: 2.000e-03, eta: 2:27:52, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0225, loss_cls: 2.8396, loss_bbox: 1.5408, loss: 4.4534 +2022-09-02 05:03:32,247 - mmdet - INFO - Epoch [9][3100/7390] lr: 2.000e-03, eta: 2:27:35, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0224, loss_cls: 2.8308, loss_bbox: 1.5321, loss: 4.4349 +2022-09-02 05:03:48,988 - mmdet - INFO - Epoch [9][3150/7390] lr: 2.000e-03, eta: 2:27:18, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0232, loss_cls: 2.8691, loss_bbox: 1.5393, loss: 4.4825 +2022-09-02 05:04:05,838 - mmdet - INFO - Epoch [9][3200/7390] lr: 2.000e-03, eta: 2:27:01, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 2.8469, loss_bbox: 1.5367, loss: 4.4568 +2022-09-02 05:04:22,398 - mmdet - INFO - Epoch [9][3250/7390] lr: 2.000e-03, eta: 2:26:45, time: 0.331, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0232, loss_cls: 2.8607, loss_bbox: 1.5342, loss: 4.4695 +2022-09-02 05:04:39,059 - mmdet - INFO - Epoch [9][3300/7390] lr: 2.000e-03, eta: 2:26:28, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0227, loss_cls: 2.8514, loss_bbox: 1.5375, loss: 4.4610 +2022-09-02 05:04:55,841 - mmdet - INFO - Epoch [9][3350/7390] lr: 2.000e-03, eta: 2:26:11, time: 0.335, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0233, loss_cls: 2.8697, loss_bbox: 1.5297, loss: 4.4731 +2022-09-02 05:05:12,673 - mmdet - INFO - Epoch [9][3400/7390] lr: 2.000e-03, eta: 2:25:54, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.8654, loss_bbox: 1.5328, loss: 4.4727 +2022-09-02 05:05:29,679 - mmdet - INFO - Epoch [9][3450/7390] lr: 2.000e-03, eta: 2:25:38, time: 0.341, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.8665, loss_bbox: 1.5250, loss: 4.4664 +2022-09-02 05:05:46,314 - mmdet - INFO - Epoch [9][3500/7390] lr: 2.000e-03, eta: 2:25:21, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0225, loss_cls: 2.8448, loss_bbox: 1.5280, loss: 4.4456 +2022-09-02 05:06:03,009 - mmdet - INFO - Epoch [9][3550/7390] lr: 2.000e-03, eta: 2:25:04, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 2.8685, loss_bbox: 1.5385, loss: 4.4805 +2022-09-02 05:06:19,691 - mmdet - INFO - Epoch [9][3600/7390] lr: 2.000e-03, eta: 2:24:48, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0229, loss_cls: 2.8624, loss_bbox: 1.5287, loss: 4.4636 +2022-09-02 05:06:36,616 - mmdet - INFO - Epoch [9][3650/7390] lr: 2.000e-03, eta: 2:24:31, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0234, loss_cls: 2.8668, loss_bbox: 1.5349, loss: 4.4763 +2022-09-02 05:06:53,228 - mmdet - INFO - Epoch [9][3700/7390] lr: 2.000e-03, eta: 2:24:14, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.8818, loss_bbox: 1.5380, loss: 4.4927 +2022-09-02 05:07:09,495 - mmdet - INFO - Epoch [9][3750/7390] lr: 2.000e-03, eta: 2:23:57, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 2.8773, loss_bbox: 1.5320, loss: 4.4821 +2022-09-02 05:07:26,295 - mmdet - INFO - Epoch [9][3800/7390] lr: 2.000e-03, eta: 2:23:41, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.8568, loss_bbox: 1.5390, loss: 4.4686 +2022-09-02 05:07:43,022 - mmdet - INFO - Epoch [9][3850/7390] lr: 2.000e-03, eta: 2:23:24, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0228, loss_cls: 2.8645, loss_bbox: 1.5448, loss: 4.4826 +2022-09-02 05:08:00,257 - mmdet - INFO - Epoch [9][3900/7390] lr: 2.000e-03, eta: 2:23:07, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0233, loss_cls: 2.8509, loss_bbox: 1.5309, loss: 4.4562 +2022-09-02 05:08:17,159 - mmdet - INFO - Epoch [9][3950/7390] lr: 2.000e-03, eta: 2:22:51, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.8510, loss_bbox: 1.5325, loss: 4.4563 +2022-09-02 05:08:33,913 - mmdet - INFO - Epoch [9][4000/7390] lr: 2.000e-03, eta: 2:22:34, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8524, loss_bbox: 1.5157, loss: 4.4415 +2022-09-02 05:08:51,074 - mmdet - INFO - Epoch [9][4050/7390] lr: 2.000e-03, eta: 2:22:17, time: 0.344, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0235, loss_cls: 2.8817, loss_bbox: 1.5363, loss: 4.4923 +2022-09-02 05:09:07,502 - mmdet - INFO - Epoch [9][4100/7390] lr: 2.000e-03, eta: 2:22:00, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0226, loss_cls: 2.8727, loss_bbox: 1.5345, loss: 4.4797 +2022-09-02 05:09:24,313 - mmdet - INFO - Epoch [9][4150/7390] lr: 2.000e-03, eta: 2:21:44, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 2.8524, loss_bbox: 1.5393, loss: 4.4649 +2022-09-02 05:09:41,342 - mmdet - INFO - Epoch [9][4200/7390] lr: 2.000e-03, eta: 2:21:27, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0227, loss_cls: 2.8436, loss_bbox: 1.5378, loss: 4.4539 +2022-09-02 05:09:58,440 - mmdet - INFO - Epoch [9][4250/7390] lr: 2.000e-03, eta: 2:21:11, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0243, loss_cls: 2.8698, loss_bbox: 1.5290, loss: 4.4755 +2022-09-02 05:10:14,966 - mmdet - INFO - Epoch [9][4300/7390] lr: 2.000e-03, eta: 2:20:54, time: 0.330, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0232, loss_cls: 2.8585, loss_bbox: 1.5282, loss: 4.4606 +2022-09-02 05:10:32,171 - mmdet - INFO - Epoch [9][4350/7390] lr: 2.000e-03, eta: 2:20:37, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0226, loss_cls: 2.8614, loss_bbox: 1.5469, loss: 4.4807 +2022-09-02 05:10:49,101 - mmdet - INFO - Epoch [9][4400/7390] lr: 2.000e-03, eta: 2:20:21, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0233, loss_cls: 2.8698, loss_bbox: 1.5283, loss: 4.4725 +2022-09-02 05:11:05,944 - mmdet - INFO - Epoch [9][4450/7390] lr: 2.000e-03, eta: 2:20:04, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 2.8726, loss_bbox: 1.5183, loss: 4.4636 +2022-09-02 05:11:22,483 - mmdet - INFO - Epoch [9][4500/7390] lr: 2.000e-03, eta: 2:19:47, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0224, loss_cls: 2.8460, loss_bbox: 1.5344, loss: 4.4526 +2022-09-02 05:11:38,929 - mmdet - INFO - Epoch [9][4550/7390] lr: 2.000e-03, eta: 2:19:30, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.8466, loss_bbox: 1.5323, loss: 4.4521 +2022-09-02 05:11:55,806 - mmdet - INFO - Epoch [9][4600/7390] lr: 2.000e-03, eta: 2:19:14, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0232, loss_cls: 2.8538, loss_bbox: 1.5328, loss: 4.4606 +2022-09-02 05:12:12,229 - mmdet - INFO - Epoch [9][4650/7390] lr: 2.000e-03, eta: 2:18:57, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0224, loss_cls: 2.8471, loss_bbox: 1.5252, loss: 4.4440 +2022-09-02 05:12:29,336 - mmdet - INFO - Epoch [9][4700/7390] lr: 2.000e-03, eta: 2:18:40, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0235, loss_cls: 2.8623, loss_bbox: 1.5371, loss: 4.4737 +2022-09-02 05:12:46,803 - mmdet - INFO - Epoch [9][4750/7390] lr: 2.000e-03, eta: 2:18:24, time: 0.350, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.8784, loss_bbox: 1.5314, loss: 4.4842 +2022-09-02 05:13:03,927 - mmdet - INFO - Epoch [9][4800/7390] lr: 2.000e-03, eta: 2:18:07, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0232, loss_cls: 2.8743, loss_bbox: 1.5355, loss: 4.4832 +2022-09-02 05:13:21,292 - mmdet - INFO - Epoch [9][4850/7390] lr: 2.000e-03, eta: 2:17:51, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0237, loss_cls: 2.8708, loss_bbox: 1.5241, loss: 4.4697 +2022-09-02 05:13:37,852 - mmdet - INFO - Epoch [9][4900/7390] lr: 2.000e-03, eta: 2:17:34, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0227, loss_cls: 2.8598, loss_bbox: 1.5341, loss: 4.4669 +2022-09-02 05:13:54,688 - mmdet - INFO - Epoch [9][4950/7390] lr: 2.000e-03, eta: 2:17:17, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0230, loss_cls: 2.8525, loss_bbox: 1.5364, loss: 4.4621 +2022-09-02 05:14:11,618 - mmdet - INFO - Epoch [9][5000/7390] lr: 2.000e-03, eta: 2:17:00, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0234, loss_cls: 2.8632, loss_bbox: 1.5307, loss: 4.4680 +2022-09-02 05:14:28,194 - mmdet - INFO - Epoch [9][5050/7390] lr: 2.000e-03, eta: 2:16:44, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0227, loss_cls: 2.8552, loss_bbox: 1.5360, loss: 4.4642 +2022-09-02 05:14:44,370 - mmdet - INFO - Epoch [9][5100/7390] lr: 2.000e-03, eta: 2:16:27, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0218, loss_cls: 2.8373, loss_bbox: 1.5236, loss: 4.4311 +2022-09-02 05:15:00,822 - mmdet - INFO - Epoch [9][5150/7390] lr: 2.000e-03, eta: 2:16:10, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.8727, loss_bbox: 1.5318, loss: 4.4789 +2022-09-02 05:15:17,740 - mmdet - INFO - Epoch [9][5200/7390] lr: 2.000e-03, eta: 2:15:53, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0228, loss_cls: 2.8572, loss_bbox: 1.5402, loss: 4.4707 +2022-09-02 05:15:34,420 - mmdet - INFO - Epoch [9][5250/7390] lr: 2.000e-03, eta: 2:15:36, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0224, loss_cls: 2.8536, loss_bbox: 1.5367, loss: 4.4621 +2022-09-02 05:15:51,555 - mmdet - INFO - Epoch [9][5300/7390] lr: 2.000e-03, eta: 2:15:20, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0234, loss_cls: 2.8635, loss_bbox: 1.5264, loss: 4.4638 +2022-09-02 05:16:08,143 - mmdet - INFO - Epoch [9][5350/7390] lr: 2.000e-03, eta: 2:15:03, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0235, loss_cls: 2.8691, loss_bbox: 1.5290, loss: 4.4721 +2022-09-02 05:16:25,051 - mmdet - INFO - Epoch [9][5400/7390] lr: 2.000e-03, eta: 2:14:46, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0232, loss_cls: 2.8746, loss_bbox: 1.5173, loss: 4.4654 +2022-09-02 05:16:42,445 - mmdet - INFO - Epoch [9][5450/7390] lr: 2.000e-03, eta: 2:14:30, time: 0.348, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0235, loss_cls: 2.8775, loss_bbox: 1.5321, loss: 4.4843 +2022-09-02 05:16:59,149 - mmdet - INFO - Epoch [9][5500/7390] lr: 2.000e-03, eta: 2:14:13, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0231, loss_cls: 2.8637, loss_bbox: 1.5324, loss: 4.4696 +2022-09-02 05:17:15,601 - mmdet - INFO - Epoch [9][5550/7390] lr: 2.000e-03, eta: 2:13:56, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0225, loss_cls: 2.8718, loss_bbox: 1.5278, loss: 4.4705 +2022-09-02 05:17:32,484 - mmdet - INFO - Epoch [9][5600/7390] lr: 2.000e-03, eta: 2:13:40, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 2.8778, loss_bbox: 1.5288, loss: 4.4798 +2022-09-02 05:17:49,306 - mmdet - INFO - Epoch [9][5650/7390] lr: 2.000e-03, eta: 2:13:23, time: 0.336, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.8716, loss_bbox: 1.5224, loss: 4.4685 +2022-09-02 05:18:06,576 - mmdet - INFO - Epoch [9][5700/7390] lr: 2.000e-03, eta: 2:13:06, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0236, loss_cls: 2.8764, loss_bbox: 1.5295, loss: 4.4799 +2022-09-02 05:18:23,393 - mmdet - INFO - Epoch [9][5750/7390] lr: 2.000e-03, eta: 2:12:50, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0231, loss_cls: 2.8725, loss_bbox: 1.5386, loss: 4.4850 +2022-09-02 05:18:40,490 - mmdet - INFO - Epoch [9][5800/7390] lr: 2.000e-03, eta: 2:12:33, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0238, loss_cls: 2.8684, loss_bbox: 1.5245, loss: 4.4683 +2022-09-02 05:18:57,734 - mmdet - INFO - Epoch [9][5850/7390] lr: 2.000e-03, eta: 2:12:16, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0237, loss_cls: 2.8663, loss_bbox: 1.5311, loss: 4.4721 +2022-09-02 05:19:14,494 - mmdet - INFO - Epoch [9][5900/7390] lr: 2.000e-03, eta: 2:12:00, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0234, loss_cls: 2.8730, loss_bbox: 1.5248, loss: 4.4724 +2022-09-02 05:19:31,453 - mmdet - INFO - Epoch [9][5950/7390] lr: 2.000e-03, eta: 2:11:43, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.8581, loss_bbox: 1.5330, loss: 4.4648 +2022-09-02 05:19:48,438 - mmdet - INFO - Epoch [9][6000/7390] lr: 2.000e-03, eta: 2:11:26, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0228, loss_cls: 2.8455, loss_bbox: 1.5286, loss: 4.4479 +2022-09-02 05:20:05,568 - mmdet - INFO - Epoch [9][6050/7390] lr: 2.000e-03, eta: 2:11:10, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0231, loss_cls: 2.8623, loss_bbox: 1.5250, loss: 4.4614 +2022-09-02 05:20:22,833 - mmdet - INFO - Epoch [9][6100/7390] lr: 2.000e-03, eta: 2:10:53, time: 0.346, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0234, loss_cls: 2.8650, loss_bbox: 1.5296, loss: 4.4690 +2022-09-02 05:20:40,065 - mmdet - INFO - Epoch [9][6150/7390] lr: 2.000e-03, eta: 2:10:37, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0237, loss_cls: 2.8519, loss_bbox: 1.5337, loss: 4.4610 +2022-09-02 05:20:56,997 - mmdet - INFO - Epoch [9][6200/7390] lr: 2.000e-03, eta: 2:10:20, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0238, loss_cls: 2.8650, loss_bbox: 1.5326, loss: 4.4729 +2022-09-02 05:21:13,504 - mmdet - INFO - Epoch [9][6250/7390] lr: 2.000e-03, eta: 2:10:03, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0227, loss_cls: 2.8414, loss_bbox: 1.5277, loss: 4.4412 +2022-09-02 05:21:29,981 - mmdet - INFO - Epoch [9][6300/7390] lr: 2.000e-03, eta: 2:09:46, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8488, loss_bbox: 1.5337, loss: 4.4560 +2022-09-02 05:21:46,672 - mmdet - INFO - Epoch [9][6350/7390] lr: 2.000e-03, eta: 2:09:30, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.8590, loss_bbox: 1.5381, loss: 4.4708 +2022-09-02 05:22:03,487 - mmdet - INFO - Epoch [9][6400/7390] lr: 2.000e-03, eta: 2:09:13, time: 0.336, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0230, loss_cls: 2.8379, loss_bbox: 1.5317, loss: 4.4432 +2022-09-02 05:22:20,262 - mmdet - INFO - Epoch [9][6450/7390] lr: 2.000e-03, eta: 2:08:56, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.8601, loss_bbox: 1.5448, loss: 4.4799 +2022-09-02 05:22:36,987 - mmdet - INFO - Epoch [9][6500/7390] lr: 2.000e-03, eta: 2:08:39, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0231, loss_cls: 2.8500, loss_bbox: 1.5455, loss: 4.4693 +2022-09-02 05:22:53,795 - mmdet - INFO - Epoch [9][6550/7390] lr: 2.000e-03, eta: 2:08:23, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0227, loss_cls: 2.8479, loss_bbox: 1.5371, loss: 4.4576 +2022-09-02 05:23:10,414 - mmdet - INFO - Epoch [9][6600/7390] lr: 2.000e-03, eta: 2:08:06, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0222, loss_cls: 2.8544, loss_bbox: 1.5310, loss: 4.4562 +2022-09-02 05:23:27,084 - mmdet - INFO - Epoch [9][6650/7390] lr: 2.000e-03, eta: 2:07:49, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0229, loss_cls: 2.8697, loss_bbox: 1.5376, loss: 4.4812 +2022-09-02 05:23:43,576 - mmdet - INFO - Epoch [9][6700/7390] lr: 2.000e-03, eta: 2:07:32, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0226, loss_cls: 2.8498, loss_bbox: 1.5298, loss: 4.4511 +2022-09-02 05:24:00,729 - mmdet - INFO - Epoch [9][6750/7390] lr: 2.000e-03, eta: 2:07:16, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0234, loss_cls: 2.8552, loss_bbox: 1.5285, loss: 4.4579 +2022-09-02 05:24:17,422 - mmdet - INFO - Epoch [9][6800/7390] lr: 2.000e-03, eta: 2:06:59, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.8561, loss_bbox: 1.5368, loss: 4.4671 +2022-09-02 05:24:34,692 - mmdet - INFO - Epoch [9][6850/7390] lr: 2.000e-03, eta: 2:06:42, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.8552, loss_bbox: 1.5221, loss: 4.4525 +2022-09-02 05:24:51,175 - mmdet - INFO - Epoch [9][6900/7390] lr: 2.000e-03, eta: 2:06:26, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.8697, loss_bbox: 1.5270, loss: 4.4704 +2022-09-02 05:25:07,760 - mmdet - INFO - Epoch [9][6950/7390] lr: 2.000e-03, eta: 2:06:09, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0229, loss_cls: 2.8537, loss_bbox: 1.5394, loss: 4.4671 +2022-09-02 05:25:24,593 - mmdet - INFO - Epoch [9][7000/7390] lr: 2.000e-03, eta: 2:05:52, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0232, loss_cls: 2.8535, loss_bbox: 1.5230, loss: 4.4500 +2022-09-02 05:25:41,035 - mmdet - INFO - Epoch [9][7050/7390] lr: 2.000e-03, eta: 2:05:35, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0225, loss_cls: 2.8542, loss_bbox: 1.5420, loss: 4.4681 +2022-09-02 05:25:58,338 - mmdet - INFO - Epoch [9][7100/7390] lr: 2.000e-03, eta: 2:05:19, time: 0.346, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0230, loss_cls: 2.8557, loss_bbox: 1.5387, loss: 4.4685 +2022-09-02 05:26:15,041 - mmdet - INFO - Epoch [9][7150/7390] lr: 2.000e-03, eta: 2:05:02, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0231, loss_cls: 2.8729, loss_bbox: 1.5244, loss: 4.4708 +2022-09-02 05:26:31,592 - mmdet - INFO - Epoch [9][7200/7390] lr: 2.000e-03, eta: 2:04:45, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0224, loss_cls: 2.8502, loss_bbox: 1.5359, loss: 4.4572 +2022-09-02 05:26:48,163 - mmdet - INFO - Epoch [9][7250/7390] lr: 2.000e-03, eta: 2:04:28, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 2.8700, loss_bbox: 1.5331, loss: 4.4764 +2022-09-02 05:27:04,947 - mmdet - INFO - Epoch [9][7300/7390] lr: 2.000e-03, eta: 2:04:12, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0228, loss_cls: 2.8497, loss_bbox: 1.5379, loss: 4.4612 +2022-09-02 05:27:21,743 - mmdet - INFO - Epoch [9][7350/7390] lr: 2.000e-03, eta: 2:03:55, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0232, loss_cls: 2.8682, loss_bbox: 1.5324, loss: 4.4745 +2022-09-02 05:27:34,955 - mmdet - INFO - Saving checkpoint at 9 epochs +2022-09-02 05:27:56,683 - mmdet - INFO - Epoch [10][50/7390] lr: 2.000e-03, eta: 2:03:21, time: 0.404, data_time: 0.070, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0232, loss_cls: 2.8812, loss_bbox: 1.5257, loss: 4.4806 +2022-09-02 05:28:13,483 - mmdet - INFO - Epoch [10][100/7390] lr: 2.000e-03, eta: 2:03:05, time: 0.335, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 2.8386, loss_bbox: 1.5167, loss: 4.4286 +2022-09-02 05:28:30,907 - mmdet - INFO - Epoch [10][150/7390] lr: 2.000e-03, eta: 2:02:48, time: 0.349, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0241, loss_cls: 2.8864, loss_bbox: 1.5395, loss: 4.5018 +2022-09-02 05:28:48,154 - mmdet - INFO - Epoch [10][200/7390] lr: 2.000e-03, eta: 2:02:32, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0238, loss_cls: 2.8883, loss_bbox: 1.5416, loss: 4.5057 +2022-09-02 05:29:05,294 - mmdet - INFO - Epoch [10][250/7390] lr: 2.000e-03, eta: 2:02:15, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0233, loss_cls: 2.8745, loss_bbox: 1.5324, loss: 4.4810 +2022-09-02 05:29:22,303 - mmdet - INFO - Epoch [10][300/7390] lr: 2.000e-03, eta: 2:01:58, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0232, loss_cls: 2.8453, loss_bbox: 1.5341, loss: 4.4531 +2022-09-02 05:29:39,168 - mmdet - INFO - Epoch [10][350/7390] lr: 2.000e-03, eta: 2:01:42, time: 0.337, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0235, loss_cls: 2.8592, loss_bbox: 1.5312, loss: 4.4639 +2022-09-02 05:29:56,212 - mmdet - INFO - Epoch [10][400/7390] lr: 2.000e-03, eta: 2:01:25, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0234, loss_cls: 2.8652, loss_bbox: 1.5187, loss: 4.4579 +2022-09-02 05:30:13,037 - mmdet - INFO - Epoch [10][450/7390] lr: 2.000e-03, eta: 2:01:08, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0233, loss_cls: 2.8580, loss_bbox: 1.5294, loss: 4.4611 +2022-09-02 05:30:29,752 - mmdet - INFO - Epoch [10][500/7390] lr: 2.000e-03, eta: 2:00:52, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0230, loss_cls: 2.8433, loss_bbox: 1.5336, loss: 4.4508 +2022-09-02 05:30:46,980 - mmdet - INFO - Epoch [10][550/7390] lr: 2.000e-03, eta: 2:00:35, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0233, loss_cls: 2.8606, loss_bbox: 1.5342, loss: 4.4680 +2022-09-02 05:31:03,444 - mmdet - INFO - Epoch [10][600/7390] lr: 2.000e-03, eta: 2:00:18, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0227, loss_cls: 2.8667, loss_bbox: 1.5341, loss: 4.4740 +2022-09-02 05:31:20,111 - mmdet - INFO - Epoch [10][650/7390] lr: 2.000e-03, eta: 2:00:02, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0228, loss_cls: 2.8612, loss_bbox: 1.5389, loss: 4.4733 +2022-09-02 05:31:36,902 - mmdet - INFO - Epoch [10][700/7390] lr: 2.000e-03, eta: 1:59:45, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.8347, loss_bbox: 1.5287, loss: 4.4371 +2022-09-02 05:31:53,761 - mmdet - INFO - Epoch [10][750/7390] lr: 2.000e-03, eta: 1:59:28, time: 0.337, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0233, loss_cls: 2.8669, loss_bbox: 1.5325, loss: 4.4740 +2022-09-02 05:32:10,890 - mmdet - INFO - Epoch [10][800/7390] lr: 2.000e-03, eta: 1:59:12, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0228, loss_cls: 2.8409, loss_bbox: 1.5321, loss: 4.4451 +2022-09-02 05:32:27,656 - mmdet - INFO - Epoch [10][850/7390] lr: 2.000e-03, eta: 1:58:55, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0228, loss_cls: 2.8429, loss_bbox: 1.5310, loss: 4.4467 +2022-09-02 05:32:44,809 - mmdet - INFO - Epoch [10][900/7390] lr: 2.000e-03, eta: 1:58:38, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0237, loss_cls: 2.8553, loss_bbox: 1.5313, loss: 4.4617 +2022-09-02 05:33:01,406 - mmdet - INFO - Epoch [10][950/7390] lr: 2.000e-03, eta: 1:58:21, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0225, loss_cls: 2.8509, loss_bbox: 1.5280, loss: 4.4510 +2022-09-02 05:33:18,255 - mmdet - INFO - Epoch [10][1000/7390] lr: 2.000e-03, eta: 1:58:05, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.8399, loss_bbox: 1.5365, loss: 4.4496 +2022-09-02 05:33:35,237 - mmdet - INFO - Epoch [10][1050/7390] lr: 2.000e-03, eta: 1:57:48, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0233, loss_cls: 2.8707, loss_bbox: 1.5286, loss: 4.4744 +2022-09-02 05:33:52,209 - mmdet - INFO - Epoch [10][1100/7390] lr: 2.000e-03, eta: 1:57:31, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0228, loss_cls: 2.8606, loss_bbox: 1.5340, loss: 4.4670 +2022-09-02 05:34:09,193 - mmdet - INFO - Epoch [10][1150/7390] lr: 2.000e-03, eta: 1:57:15, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0233, loss_cls: 2.8681, loss_bbox: 1.5188, loss: 4.4608 +2022-09-02 05:34:26,255 - mmdet - INFO - Epoch [10][1200/7390] lr: 2.000e-03, eta: 1:56:58, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.8770, loss_bbox: 1.5257, loss: 4.4778 +2022-09-02 05:34:42,798 - mmdet - INFO - Epoch [10][1250/7390] lr: 2.000e-03, eta: 1:56:41, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.8723, loss_bbox: 1.5302, loss: 4.4773 +2022-09-02 05:35:00,228 - mmdet - INFO - Epoch [10][1300/7390] lr: 2.000e-03, eta: 1:56:25, time: 0.348, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0236, loss_cls: 2.8609, loss_bbox: 1.5290, loss: 4.4648 +2022-09-02 05:35:16,611 - mmdet - INFO - Epoch [10][1350/7390] lr: 2.000e-03, eta: 1:56:08, time: 0.328, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0225, loss_cls: 2.8611, loss_bbox: 1.5327, loss: 4.4671 +2022-09-02 05:35:33,507 - mmdet - INFO - Epoch [10][1400/7390] lr: 2.000e-03, eta: 1:55:51, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0228, loss_cls: 2.8562, loss_bbox: 1.5318, loss: 4.4606 +2022-09-02 05:35:50,000 - mmdet - INFO - Epoch [10][1450/7390] lr: 2.000e-03, eta: 1:55:34, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0225, loss_cls: 2.8430, loss_bbox: 1.5355, loss: 4.4499 +2022-09-02 05:36:06,525 - mmdet - INFO - Epoch [10][1500/7390] lr: 2.000e-03, eta: 1:55:18, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.8455, loss_bbox: 1.5304, loss: 4.4496 +2022-09-02 05:36:23,486 - mmdet - INFO - Epoch [10][1550/7390] lr: 2.000e-03, eta: 1:55:01, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0228, loss_cls: 2.8378, loss_bbox: 1.5358, loss: 4.4468 +2022-09-02 05:36:39,870 - mmdet - INFO - Epoch [10][1600/7390] lr: 2.000e-03, eta: 1:54:44, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0224, loss_cls: 2.8502, loss_bbox: 1.5353, loss: 4.4566 +2022-09-02 05:36:56,640 - mmdet - INFO - Epoch [10][1650/7390] lr: 2.000e-03, eta: 1:54:27, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0229, loss_cls: 2.8417, loss_bbox: 1.5269, loss: 4.4427 +2022-09-02 05:37:13,530 - mmdet - INFO - Epoch [10][1700/7390] lr: 2.000e-03, eta: 1:54:11, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0228, loss_cls: 2.8582, loss_bbox: 1.5291, loss: 4.4608 +2022-09-02 05:37:30,607 - mmdet - INFO - Epoch [10][1750/7390] lr: 2.000e-03, eta: 1:53:54, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0238, loss_cls: 2.8586, loss_bbox: 1.5295, loss: 4.4625 +2022-09-02 05:37:47,719 - mmdet - INFO - Epoch [10][1800/7390] lr: 2.000e-03, eta: 1:53:38, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0232, loss_cls: 2.8474, loss_bbox: 1.5489, loss: 4.4700 +2022-09-02 05:38:04,762 - mmdet - INFO - Epoch [10][1850/7390] lr: 2.000e-03, eta: 1:53:21, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0242, loss_cls: 2.8685, loss_bbox: 1.5275, loss: 4.4719 +2022-09-02 05:38:22,133 - mmdet - INFO - Epoch [10][1900/7390] lr: 2.000e-03, eta: 1:53:04, time: 0.347, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0235, loss_cls: 2.8602, loss_bbox: 1.5368, loss: 4.4702 +2022-09-02 05:38:39,099 - mmdet - INFO - Epoch [10][1950/7390] lr: 2.000e-03, eta: 1:52:48, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0227, loss_cls: 2.8595, loss_bbox: 1.5343, loss: 4.4660 +2022-09-02 05:38:56,032 - mmdet - INFO - Epoch [10][2000/7390] lr: 2.000e-03, eta: 1:52:31, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0227, loss_cls: 2.8483, loss_bbox: 1.5276, loss: 4.4477 +2022-09-02 05:39:12,789 - mmdet - INFO - Epoch [10][2050/7390] lr: 2.000e-03, eta: 1:52:14, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0228, loss_cls: 2.8654, loss_bbox: 1.5402, loss: 4.4797 +2022-09-02 05:39:29,869 - mmdet - INFO - Epoch [10][2100/7390] lr: 2.000e-03, eta: 1:51:58, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0234, loss_cls: 2.8656, loss_bbox: 1.5223, loss: 4.4626 +2022-09-02 05:39:46,957 - mmdet - INFO - Epoch [10][2150/7390] lr: 2.000e-03, eta: 1:51:41, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0231, loss_cls: 2.8523, loss_bbox: 1.5342, loss: 4.4598 +2022-09-02 05:40:03,809 - mmdet - INFO - Epoch [10][2200/7390] lr: 2.000e-03, eta: 1:51:24, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0228, loss_cls: 2.8586, loss_bbox: 1.5312, loss: 4.4626 +2022-09-02 05:40:20,929 - mmdet - INFO - Epoch [10][2250/7390] lr: 2.000e-03, eta: 1:51:08, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0235, loss_cls: 2.8621, loss_bbox: 1.5290, loss: 4.4653 +2022-09-02 05:40:37,735 - mmdet - INFO - Epoch [10][2300/7390] lr: 2.000e-03, eta: 1:50:51, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0234, loss_cls: 2.8676, loss_bbox: 1.5365, loss: 4.4788 +2022-09-02 05:40:54,812 - mmdet - INFO - Epoch [10][2350/7390] lr: 2.000e-03, eta: 1:50:34, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0226, loss_cls: 2.8475, loss_bbox: 1.5297, loss: 4.4494 +2022-09-02 05:41:11,463 - mmdet - INFO - Epoch [10][2400/7390] lr: 2.000e-03, eta: 1:50:18, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0223, loss_cls: 2.8530, loss_bbox: 1.5251, loss: 4.4504 +2022-09-02 05:41:28,268 - mmdet - INFO - Epoch [10][2450/7390] lr: 2.000e-03, eta: 1:50:01, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0225, loss_cls: 2.8515, loss_bbox: 1.5333, loss: 4.4579 +2022-09-02 05:41:45,213 - mmdet - INFO - Epoch [10][2500/7390] lr: 2.000e-03, eta: 1:49:44, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0235, loss_cls: 2.8562, loss_bbox: 1.5357, loss: 4.4663 +2022-09-02 05:42:02,020 - mmdet - INFO - Epoch [10][2550/7390] lr: 2.000e-03, eta: 1:49:27, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.8760, loss_bbox: 1.5294, loss: 4.4799 +2022-09-02 05:42:18,842 - mmdet - INFO - Epoch [10][2600/7390] lr: 2.000e-03, eta: 1:49:11, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0234, loss_cls: 2.8576, loss_bbox: 1.5386, loss: 4.4699 +2022-09-02 05:42:35,563 - mmdet - INFO - Epoch [10][2650/7390] lr: 2.000e-03, eta: 1:48:54, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0224, loss_cls: 2.8580, loss_bbox: 1.5379, loss: 4.4676 +2022-09-02 05:42:52,575 - mmdet - INFO - Epoch [10][2700/7390] lr: 2.000e-03, eta: 1:48:37, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0234, loss_cls: 2.8589, loss_bbox: 1.5246, loss: 4.4581 +2022-09-02 05:43:09,257 - mmdet - INFO - Epoch [10][2750/7390] lr: 2.000e-03, eta: 1:48:21, time: 0.334, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0223, loss_cls: 2.8485, loss_bbox: 1.5325, loss: 4.4519 +2022-09-02 05:43:26,179 - mmdet - INFO - Epoch [10][2800/7390] lr: 2.000e-03, eta: 1:48:04, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0230, loss_cls: 2.8497, loss_bbox: 1.5342, loss: 4.4565 +2022-09-02 05:43:42,625 - mmdet - INFO - Epoch [10][2850/7390] lr: 2.000e-03, eta: 1:47:47, time: 0.329, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.8610, loss_bbox: 1.5242, loss: 4.4588 +2022-09-02 05:43:58,850 - mmdet - INFO - Epoch [10][2900/7390] lr: 2.000e-03, eta: 1:47:30, time: 0.324, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0219, loss_cls: 2.8241, loss_bbox: 1.5320, loss: 4.4270 +2022-09-02 05:44:15,357 - mmdet - INFO - Epoch [10][2950/7390] lr: 2.000e-03, eta: 1:47:13, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0224, loss_cls: 2.8469, loss_bbox: 1.5354, loss: 4.4545 +2022-09-02 05:44:32,325 - mmdet - INFO - Epoch [10][3000/7390] lr: 2.000e-03, eta: 1:46:57, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0232, loss_cls: 2.8629, loss_bbox: 1.5208, loss: 4.4573 +2022-09-02 05:44:48,955 - mmdet - INFO - Epoch [10][3050/7390] lr: 2.000e-03, eta: 1:46:40, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0220, loss_cls: 2.8295, loss_bbox: 1.5389, loss: 4.4391 +2022-09-02 05:45:05,912 - mmdet - INFO - Epoch [10][3100/7390] lr: 2.000e-03, eta: 1:46:23, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0235, loss_cls: 2.8497, loss_bbox: 1.5254, loss: 4.4490 +2022-09-02 05:45:22,876 - mmdet - INFO - Epoch [10][3150/7390] lr: 2.000e-03, eta: 1:46:07, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0224, loss_cls: 2.8499, loss_bbox: 1.5319, loss: 4.4539 +2022-09-02 05:45:39,315 - mmdet - INFO - Epoch [10][3200/7390] lr: 2.000e-03, eta: 1:45:50, time: 0.328, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0227, loss_cls: 2.8451, loss_bbox: 1.5347, loss: 4.4523 +2022-09-02 05:45:55,753 - mmdet - INFO - Epoch [10][3250/7390] lr: 2.000e-03, eta: 1:45:33, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0225, loss_cls: 2.8456, loss_bbox: 1.5231, loss: 4.4413 +2022-09-02 05:46:12,970 - mmdet - INFO - Epoch [10][3300/7390] lr: 2.000e-03, eta: 1:45:16, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.8436, loss_bbox: 1.5260, loss: 4.4441 +2022-09-02 05:46:29,675 - mmdet - INFO - Epoch [10][3350/7390] lr: 2.000e-03, eta: 1:45:00, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0229, loss_cls: 2.8564, loss_bbox: 1.5362, loss: 4.4660 +2022-09-02 05:46:46,781 - mmdet - INFO - Epoch [10][3400/7390] lr: 2.000e-03, eta: 1:44:43, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.8660, loss_bbox: 1.5284, loss: 4.4697 +2022-09-02 05:47:04,114 - mmdet - INFO - Epoch [10][3450/7390] lr: 2.000e-03, eta: 1:44:26, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0234, loss_cls: 2.8654, loss_bbox: 1.5304, loss: 4.4699 +2022-09-02 05:47:20,894 - mmdet - INFO - Epoch [10][3500/7390] lr: 2.000e-03, eta: 1:44:10, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0227, loss_cls: 2.8482, loss_bbox: 1.5319, loss: 4.4536 +2022-09-02 05:47:38,166 - mmdet - INFO - Epoch [10][3550/7390] lr: 2.000e-03, eta: 1:43:53, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8395, loss_bbox: 1.5316, loss: 4.4444 +2022-09-02 05:47:55,376 - mmdet - INFO - Epoch [10][3600/7390] lr: 2.000e-03, eta: 1:43:36, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0235, loss_cls: 2.8535, loss_bbox: 1.5365, loss: 4.4652 +2022-09-02 05:48:12,119 - mmdet - INFO - Epoch [10][3650/7390] lr: 2.000e-03, eta: 1:43:20, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0227, loss_cls: 2.8619, loss_bbox: 1.5383, loss: 4.4729 +2022-09-02 05:48:28,701 - mmdet - INFO - Epoch [10][3700/7390] lr: 2.000e-03, eta: 1:43:03, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0224, loss_cls: 2.8495, loss_bbox: 1.5368, loss: 4.4580 +2022-09-02 05:48:45,753 - mmdet - INFO - Epoch [10][3750/7390] lr: 2.000e-03, eta: 1:42:46, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0237, loss_cls: 2.8676, loss_bbox: 1.5264, loss: 4.4697 +2022-09-02 05:49:02,983 - mmdet - INFO - Epoch [10][3800/7390] lr: 2.000e-03, eta: 1:42:30, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0233, loss_cls: 2.8558, loss_bbox: 1.5355, loss: 4.4649 +2022-09-02 05:49:19,624 - mmdet - INFO - Epoch [10][3850/7390] lr: 2.000e-03, eta: 1:42:13, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 2.8513, loss_bbox: 1.5298, loss: 4.4542 +2022-09-02 05:49:36,582 - mmdet - INFO - Epoch [10][3900/7390] lr: 2.000e-03, eta: 1:41:56, time: 0.340, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.8573, loss_bbox: 1.5291, loss: 4.4601 +2022-09-02 05:49:53,058 - mmdet - INFO - Epoch [10][3950/7390] lr: 2.000e-03, eta: 1:41:39, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0231, loss_cls: 2.8540, loss_bbox: 1.5398, loss: 4.4683 +2022-09-02 05:50:10,015 - mmdet - INFO - Epoch [10][4000/7390] lr: 2.000e-03, eta: 1:41:23, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0231, loss_cls: 2.8568, loss_bbox: 1.5300, loss: 4.4604 +2022-09-02 05:50:26,690 - mmdet - INFO - Epoch [10][4050/7390] lr: 2.000e-03, eta: 1:41:06, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0228, loss_cls: 2.8622, loss_bbox: 1.5250, loss: 4.4595 +2022-09-02 05:50:43,606 - mmdet - INFO - Epoch [10][4100/7390] lr: 2.000e-03, eta: 1:40:49, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0233, loss_cls: 2.8620, loss_bbox: 1.5278, loss: 4.4637 +2022-09-02 05:51:00,637 - mmdet - INFO - Epoch [10][4150/7390] lr: 2.000e-03, eta: 1:40:33, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0230, loss_cls: 2.8627, loss_bbox: 1.5284, loss: 4.4646 +2022-09-02 05:51:17,476 - mmdet - INFO - Epoch [10][4200/7390] lr: 2.000e-03, eta: 1:40:16, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0228, loss_cls: 2.8488, loss_bbox: 1.5300, loss: 4.4508 +2022-09-02 05:51:34,430 - mmdet - INFO - Epoch [10][4250/7390] lr: 2.000e-03, eta: 1:39:59, time: 0.339, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0232, loss_cls: 2.8473, loss_bbox: 1.5234, loss: 4.4446 +2022-09-02 05:51:51,492 - mmdet - INFO - Epoch [10][4300/7390] lr: 2.000e-03, eta: 1:39:43, time: 0.342, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.8543, loss_bbox: 1.5352, loss: 4.4639 +2022-09-02 05:52:07,739 - mmdet - INFO - Epoch [10][4350/7390] lr: 2.000e-03, eta: 1:39:26, time: 0.325, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0225, loss_cls: 2.8478, loss_bbox: 1.5313, loss: 4.4513 +2022-09-02 05:52:24,920 - mmdet - INFO - Epoch [10][4400/7390] lr: 2.000e-03, eta: 1:39:09, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0237, loss_cls: 2.8725, loss_bbox: 1.5262, loss: 4.4739 +2022-09-02 05:52:41,555 - mmdet - INFO - Epoch [10][4450/7390] lr: 2.000e-03, eta: 1:38:52, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0224, loss_cls: 2.8696, loss_bbox: 1.5376, loss: 4.4787 +2022-09-02 05:52:58,696 - mmdet - INFO - Epoch [10][4500/7390] lr: 2.000e-03, eta: 1:38:36, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0231, loss_cls: 2.8507, loss_bbox: 1.5352, loss: 4.4599 +2022-09-02 05:53:15,541 - mmdet - INFO - Epoch [10][4550/7390] lr: 2.000e-03, eta: 1:38:19, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0230, loss_cls: 2.8544, loss_bbox: 1.5216, loss: 4.4496 +2022-09-02 05:53:32,784 - mmdet - INFO - Epoch [10][4600/7390] lr: 2.000e-03, eta: 1:38:02, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0225, loss_cls: 2.8343, loss_bbox: 1.5320, loss: 4.4389 +2022-09-02 05:53:50,228 - mmdet - INFO - Epoch [10][4650/7390] lr: 2.000e-03, eta: 1:37:46, time: 0.349, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0236, loss_cls: 2.8705, loss_bbox: 1.5392, loss: 4.4841 +2022-09-02 05:54:06,718 - mmdet - INFO - Epoch [10][4700/7390] lr: 2.000e-03, eta: 1:37:29, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0222, loss_cls: 2.8198, loss_bbox: 1.5429, loss: 4.4341 +2022-09-02 05:54:23,629 - mmdet - INFO - Epoch [10][4750/7390] lr: 2.000e-03, eta: 1:37:12, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0226, loss_cls: 2.8469, loss_bbox: 1.5271, loss: 4.4472 +2022-09-02 05:54:40,423 - mmdet - INFO - Epoch [10][4800/7390] lr: 2.000e-03, eta: 1:36:55, time: 0.337, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0225, loss_cls: 2.8352, loss_bbox: 1.5363, loss: 4.4435 +2022-09-02 05:54:57,895 - mmdet - INFO - Epoch [10][4850/7390] lr: 2.000e-03, eta: 1:36:39, time: 0.350, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0237, loss_cls: 2.8547, loss_bbox: 1.5332, loss: 4.4631 +2022-09-02 05:55:15,162 - mmdet - INFO - Epoch [10][4900/7390] lr: 2.000e-03, eta: 1:36:22, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0233, loss_cls: 2.8536, loss_bbox: 1.5301, loss: 4.4584 +2022-09-02 05:55:32,044 - mmdet - INFO - Epoch [10][4950/7390] lr: 2.000e-03, eta: 1:36:06, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.8488, loss_bbox: 1.5251, loss: 4.4489 +2022-09-02 05:55:48,936 - mmdet - INFO - Epoch [10][5000/7390] lr: 2.000e-03, eta: 1:35:49, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0232, loss_cls: 2.8449, loss_bbox: 1.5339, loss: 4.4522 +2022-09-02 05:56:05,722 - mmdet - INFO - Epoch [10][5050/7390] lr: 2.000e-03, eta: 1:35:32, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0233, loss_cls: 2.8582, loss_bbox: 1.5308, loss: 4.4631 +2022-09-02 05:56:22,507 - mmdet - INFO - Epoch [10][5100/7390] lr: 2.000e-03, eta: 1:35:15, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0230, loss_cls: 2.8509, loss_bbox: 1.5197, loss: 4.4434 +2022-09-02 05:56:39,600 - mmdet - INFO - Epoch [10][5150/7390] lr: 2.000e-03, eta: 1:34:59, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0237, loss_cls: 2.8687, loss_bbox: 1.5327, loss: 4.4773 +2022-09-02 05:56:56,586 - mmdet - INFO - Epoch [10][5200/7390] lr: 2.000e-03, eta: 1:34:42, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0234, loss_cls: 2.8568, loss_bbox: 1.5363, loss: 4.4675 +2022-09-02 05:57:13,397 - mmdet - INFO - Epoch [10][5250/7390] lr: 2.000e-03, eta: 1:34:25, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0230, loss_cls: 2.8620, loss_bbox: 1.5260, loss: 4.4623 +2022-09-02 05:57:30,448 - mmdet - INFO - Epoch [10][5300/7390] lr: 2.000e-03, eta: 1:34:09, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0241, loss_cls: 2.8852, loss_bbox: 1.5265, loss: 4.4871 +2022-09-02 05:57:47,436 - mmdet - INFO - Epoch [10][5350/7390] lr: 2.000e-03, eta: 1:33:52, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0228, loss_cls: 2.8435, loss_bbox: 1.5296, loss: 4.4459 +2022-09-02 05:58:04,203 - mmdet - INFO - Epoch [10][5400/7390] lr: 2.000e-03, eta: 1:33:35, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0226, loss_cls: 2.8552, loss_bbox: 1.5284, loss: 4.4563 +2022-09-02 05:58:21,316 - mmdet - INFO - Epoch [10][5450/7390] lr: 2.000e-03, eta: 1:33:19, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 2.8365, loss_bbox: 1.5306, loss: 4.4398 +2022-09-02 05:58:38,195 - mmdet - INFO - Epoch [10][5500/7390] lr: 2.000e-03, eta: 1:33:02, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0227, loss_cls: 2.8531, loss_bbox: 1.5228, loss: 4.4486 +2022-09-02 05:58:54,752 - mmdet - INFO - Epoch [10][5550/7390] lr: 2.000e-03, eta: 1:32:45, time: 0.332, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0225, loss_cls: 2.8561, loss_bbox: 1.5328, loss: 4.4607 +2022-09-02 05:59:11,578 - mmdet - INFO - Epoch [10][5600/7390] lr: 2.000e-03, eta: 1:32:28, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0230, loss_cls: 2.8712, loss_bbox: 1.5373, loss: 4.4819 +2022-09-02 05:59:28,295 - mmdet - INFO - Epoch [10][5650/7390] lr: 2.000e-03, eta: 1:32:12, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0226, loss_cls: 2.8540, loss_bbox: 1.5357, loss: 4.4616 +2022-09-02 05:59:45,012 - mmdet - INFO - Epoch [10][5700/7390] lr: 2.000e-03, eta: 1:31:55, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0227, loss_cls: 2.8355, loss_bbox: 1.5313, loss: 4.4397 +2022-09-02 06:00:01,798 - mmdet - INFO - Epoch [10][5750/7390] lr: 2.000e-03, eta: 1:31:38, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0225, loss_cls: 2.8388, loss_bbox: 1.5317, loss: 4.4428 +2022-09-02 06:00:18,533 - mmdet - INFO - Epoch [10][5800/7390] lr: 2.000e-03, eta: 1:31:21, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0224, loss_cls: 2.8399, loss_bbox: 1.5416, loss: 4.4525 +2022-09-02 06:00:35,379 - mmdet - INFO - Epoch [10][5850/7390] lr: 2.000e-03, eta: 1:31:05, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0229, loss_cls: 2.8464, loss_bbox: 1.5226, loss: 4.4421 +2022-09-02 06:00:51,990 - mmdet - INFO - Epoch [10][5900/7390] lr: 2.000e-03, eta: 1:30:48, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.8814, loss_bbox: 1.5439, loss: 4.4990 +2022-09-02 06:01:08,592 - mmdet - INFO - Epoch [10][5950/7390] lr: 2.000e-03, eta: 1:30:31, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0228, loss_cls: 2.8563, loss_bbox: 1.5313, loss: 4.4599 +2022-09-02 06:01:25,681 - mmdet - INFO - Epoch [10][6000/7390] lr: 2.000e-03, eta: 1:30:14, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0231, loss_cls: 2.8744, loss_bbox: 1.5325, loss: 4.4805 +2022-09-02 06:01:42,617 - mmdet - INFO - Epoch [10][6050/7390] lr: 2.000e-03, eta: 1:29:58, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0230, loss_cls: 2.8578, loss_bbox: 1.5263, loss: 4.4572 +2022-09-02 06:01:59,637 - mmdet - INFO - Epoch [10][6100/7390] lr: 2.000e-03, eta: 1:29:41, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0233, loss_cls: 2.8510, loss_bbox: 1.5386, loss: 4.4639 +2022-09-02 06:02:16,622 - mmdet - INFO - Epoch [10][6150/7390] lr: 2.000e-03, eta: 1:29:24, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0230, loss_cls: 2.8615, loss_bbox: 1.5392, loss: 4.4746 +2022-09-02 06:02:33,892 - mmdet - INFO - Epoch [10][6200/7390] lr: 2.000e-03, eta: 1:29:08, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0229, loss_cls: 2.8553, loss_bbox: 1.5277, loss: 4.4560 +2022-09-02 06:02:50,380 - mmdet - INFO - Epoch [10][6250/7390] lr: 2.000e-03, eta: 1:28:51, time: 0.331, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0220, loss_cls: 2.8282, loss_bbox: 1.5346, loss: 4.4343 +2022-09-02 06:03:06,835 - mmdet - INFO - Epoch [10][6300/7390] lr: 2.000e-03, eta: 1:28:34, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0225, loss_cls: 2.8568, loss_bbox: 1.5348, loss: 4.4637 +2022-09-02 06:03:24,434 - mmdet - INFO - Epoch [10][6350/7390] lr: 2.000e-03, eta: 1:28:18, time: 0.352, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0237, loss_cls: 2.8586, loss_bbox: 1.5310, loss: 4.4644 +2022-09-02 06:03:40,720 - mmdet - INFO - Epoch [10][6400/7390] lr: 2.000e-03, eta: 1:28:01, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0230, loss_cls: 2.8530, loss_bbox: 1.5284, loss: 4.4556 +2022-09-02 06:03:57,657 - mmdet - INFO - Epoch [10][6450/7390] lr: 2.000e-03, eta: 1:27:44, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0234, loss_cls: 2.8562, loss_bbox: 1.5265, loss: 4.4567 +2022-09-02 06:04:15,075 - mmdet - INFO - Epoch [10][6500/7390] lr: 2.000e-03, eta: 1:27:27, time: 0.349, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 2.8318, loss_bbox: 1.5257, loss: 4.4303 +2022-09-02 06:04:31,886 - mmdet - INFO - Epoch [10][6550/7390] lr: 2.000e-03, eta: 1:27:11, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0229, loss_cls: 2.8501, loss_bbox: 1.5442, loss: 4.4667 +2022-09-02 06:04:48,574 - mmdet - INFO - Epoch [10][6600/7390] lr: 2.000e-03, eta: 1:26:54, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0233, loss_cls: 2.8596, loss_bbox: 1.5182, loss: 4.4515 +2022-09-02 06:05:05,289 - mmdet - INFO - Epoch [10][6650/7390] lr: 2.000e-03, eta: 1:26:37, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0229, loss_cls: 2.8466, loss_bbox: 1.5169, loss: 4.4369 +2022-09-02 06:05:22,347 - mmdet - INFO - Epoch [10][6700/7390] lr: 2.000e-03, eta: 1:26:21, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0237, loss_cls: 2.8461, loss_bbox: 1.5287, loss: 4.4501 +2022-09-02 06:05:39,823 - mmdet - INFO - Epoch [10][6750/7390] lr: 2.000e-03, eta: 1:26:04, time: 0.350, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0241, loss_cls: 2.8697, loss_bbox: 1.5324, loss: 4.4774 +2022-09-02 06:05:56,779 - mmdet - INFO - Epoch [10][6800/7390] lr: 2.000e-03, eta: 1:25:47, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0233, loss_cls: 2.8745, loss_bbox: 1.5239, loss: 4.4734 +2022-09-02 06:06:13,084 - mmdet - INFO - Epoch [10][6850/7390] lr: 2.000e-03, eta: 1:25:30, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0227, loss_cls: 2.8764, loss_bbox: 1.5375, loss: 4.4868 +2022-09-02 06:06:29,846 - mmdet - INFO - Epoch [10][6900/7390] lr: 2.000e-03, eta: 1:25:14, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0227, loss_cls: 2.8641, loss_bbox: 1.5384, loss: 4.4757 +2022-09-02 06:06:46,652 - mmdet - INFO - Epoch [10][6950/7390] lr: 2.000e-03, eta: 1:24:57, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0225, loss_cls: 2.8357, loss_bbox: 1.5240, loss: 4.4327 +2022-09-02 06:07:03,082 - mmdet - INFO - Epoch [10][7000/7390] lr: 2.000e-03, eta: 1:24:40, time: 0.328, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0223, loss_cls: 2.8401, loss_bbox: 1.5319, loss: 4.4446 +2022-09-02 06:07:19,512 - mmdet - INFO - Epoch [10][7050/7390] lr: 2.000e-03, eta: 1:24:23, time: 0.329, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.8451, loss_bbox: 1.5360, loss: 4.4555 +2022-09-02 06:07:36,557 - mmdet - INFO - Epoch [10][7100/7390] lr: 2.000e-03, eta: 1:24:07, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0232, loss_cls: 2.8528, loss_bbox: 1.5306, loss: 4.4568 +2022-09-02 06:07:53,581 - mmdet - INFO - Epoch [10][7150/7390] lr: 2.000e-03, eta: 1:23:50, time: 0.341, data_time: 0.011, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0235, loss_cls: 2.8666, loss_bbox: 1.5170, loss: 4.4579 +2022-09-02 06:08:10,471 - mmdet - INFO - Epoch [10][7200/7390] lr: 2.000e-03, eta: 1:23:33, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0236, loss_cls: 2.8697, loss_bbox: 1.5331, loss: 4.4773 +2022-09-02 06:08:27,283 - mmdet - INFO - Epoch [10][7250/7390] lr: 2.000e-03, eta: 1:23:16, time: 0.336, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0230, loss_cls: 2.8659, loss_bbox: 1.5402, loss: 4.4788 +2022-09-02 06:08:43,779 - mmdet - INFO - Epoch [10][7300/7390] lr: 2.000e-03, eta: 1:23:00, time: 0.330, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0226, loss_cls: 2.8474, loss_bbox: 1.5256, loss: 4.4461 +2022-09-02 06:09:00,793 - mmdet - INFO - Epoch [10][7350/7390] lr: 2.000e-03, eta: 1:22:43, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0233, loss_cls: 2.8556, loss_bbox: 1.5296, loss: 4.4599 +2022-09-02 06:09:14,368 - mmdet - INFO - Saving checkpoint at 10 epochs +2022-09-02 06:09:36,513 - mmdet - INFO - Epoch [11][50/7390] lr: 2.000e-03, eta: 1:22:11, time: 0.414, data_time: 0.070, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0225, loss_cls: 2.8532, loss_bbox: 1.5268, loss: 4.4522 +2022-09-02 06:09:53,595 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:09:53,596 - mmdet - INFO - Epoch [11][100/7390] lr: 2.000e-03, eta: 1:21:54, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0231, loss_cls: 2.8451, loss_bbox: 1.5187, loss: 4.4377 +2022-09-02 06:10:10,604 - mmdet - INFO - Epoch [11][150/7390] lr: 2.000e-03, eta: 1:21:38, time: 0.340, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0230, loss_cls: 2.8565, loss_bbox: 1.5318, loss: 4.4612 +2022-09-02 06:10:27,535 - mmdet - INFO - Epoch [11][200/7390] lr: 2.000e-03, eta: 1:21:21, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0235, loss_cls: 2.8715, loss_bbox: 1.5358, loss: 4.4825 +2022-09-02 06:10:44,686 - mmdet - INFO - Epoch [11][250/7390] lr: 2.000e-03, eta: 1:21:04, time: 0.343, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.8464, loss_bbox: 1.5242, loss: 4.4450 +2022-09-02 06:11:01,287 - mmdet - INFO - Epoch [11][300/7390] lr: 2.000e-03, eta: 1:20:47, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0231, loss_cls: 2.8582, loss_bbox: 1.5342, loss: 4.4661 +2022-09-02 06:11:18,917 - mmdet - INFO - Epoch [11][350/7390] lr: 2.000e-03, eta: 1:20:31, time: 0.352, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0236, loss_cls: 2.8569, loss_bbox: 1.5297, loss: 4.4613 +2022-09-02 06:11:35,657 - mmdet - INFO - Epoch [11][400/7390] lr: 2.000e-03, eta: 1:20:14, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0231, loss_cls: 2.8428, loss_bbox: 1.5223, loss: 4.4376 +2022-09-02 06:11:52,420 - mmdet - INFO - Epoch [11][450/7390] lr: 2.000e-03, eta: 1:19:57, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0231, loss_cls: 2.8616, loss_bbox: 1.5242, loss: 4.4595 +2022-09-02 06:12:09,051 - mmdet - INFO - Epoch [11][500/7390] lr: 2.000e-03, eta: 1:19:41, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 2.8491, loss_bbox: 1.5295, loss: 4.4521 +2022-09-02 06:12:25,609 - mmdet - INFO - Epoch [11][550/7390] lr: 2.000e-03, eta: 1:19:24, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0227, loss_cls: 2.8304, loss_bbox: 1.5403, loss: 4.4435 +2022-09-02 06:12:42,423 - mmdet - INFO - Epoch [11][600/7390] lr: 2.000e-03, eta: 1:19:07, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0226, loss_cls: 2.8588, loss_bbox: 1.5287, loss: 4.4597 +2022-09-02 06:12:59,142 - mmdet - INFO - Epoch [11][650/7390] lr: 2.000e-03, eta: 1:18:50, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0227, loss_cls: 2.8469, loss_bbox: 1.5374, loss: 4.4574 +2022-09-02 06:13:15,904 - mmdet - INFO - Epoch [11][700/7390] lr: 2.000e-03, eta: 1:18:34, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0232, loss_cls: 2.8520, loss_bbox: 1.5388, loss: 4.4640 +2022-09-02 06:13:32,497 - mmdet - INFO - Epoch [11][750/7390] lr: 2.000e-03, eta: 1:18:17, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0229, loss_cls: 2.8529, loss_bbox: 1.5346, loss: 4.4605 +2022-09-02 06:13:49,121 - mmdet - INFO - Epoch [11][800/7390] lr: 2.000e-03, eta: 1:18:00, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0226, loss_cls: 2.8453, loss_bbox: 1.5290, loss: 4.4464 +2022-09-02 06:14:06,068 - mmdet - INFO - Epoch [11][850/7390] lr: 2.000e-03, eta: 1:17:43, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0229, loss_cls: 2.8344, loss_bbox: 1.5263, loss: 4.4332 +2022-09-02 06:14:22,631 - mmdet - INFO - Epoch [11][900/7390] lr: 2.000e-03, eta: 1:17:27, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0228, loss_cls: 2.8464, loss_bbox: 1.5317, loss: 4.4519 +2022-09-02 06:14:39,174 - mmdet - INFO - Epoch [11][950/7390] lr: 2.000e-03, eta: 1:17:10, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0222, loss_cls: 2.8352, loss_bbox: 1.5341, loss: 4.4408 +2022-09-02 06:14:56,144 - mmdet - INFO - Epoch [11][1000/7390] lr: 2.000e-03, eta: 1:16:53, time: 0.340, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0232, loss_cls: 2.8571, loss_bbox: 1.5216, loss: 4.4531 +2022-09-02 06:15:12,709 - mmdet - INFO - Epoch [11][1050/7390] lr: 2.000e-03, eta: 1:16:36, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0230, loss_cls: 2.8509, loss_bbox: 1.5233, loss: 4.4474 +2022-09-02 06:15:29,700 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:15:29,700 - mmdet - INFO - Epoch [11][1100/7390] lr: 2.000e-03, eta: 1:16:20, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0231, loss_cls: 2.8540, loss_bbox: 1.5151, loss: 4.4420 +2022-09-02 06:15:46,720 - mmdet - INFO - Epoch [11][1150/7390] lr: 2.000e-03, eta: 1:16:03, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.8474, loss_bbox: 1.5354, loss: 4.4571 +2022-09-02 06:16:03,397 - mmdet - INFO - Epoch [11][1200/7390] lr: 2.000e-03, eta: 1:15:46, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0225, loss_cls: 2.8529, loss_bbox: 1.5327, loss: 4.4578 +2022-09-02 06:16:19,813 - mmdet - INFO - Epoch [11][1250/7390] lr: 2.000e-03, eta: 1:15:29, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0230, loss_cls: 2.8576, loss_bbox: 1.5216, loss: 4.4522 +2022-09-02 06:16:36,628 - mmdet - INFO - Epoch [11][1300/7390] lr: 2.000e-03, eta: 1:15:13, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0232, loss_cls: 2.8506, loss_bbox: 1.5379, loss: 4.4622 +2022-09-02 06:16:53,973 - mmdet - INFO - Epoch [11][1350/7390] lr: 2.000e-03, eta: 1:14:56, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8408, loss_bbox: 1.5232, loss: 4.4374 +2022-09-02 06:17:10,877 - mmdet - INFO - Epoch [11][1400/7390] lr: 2.000e-03, eta: 1:14:39, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0234, loss_cls: 2.8512, loss_bbox: 1.5236, loss: 4.4484 +2022-09-02 06:17:27,812 - mmdet - INFO - Epoch [11][1450/7390] lr: 2.000e-03, eta: 1:14:23, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0236, loss_cls: 2.8622, loss_bbox: 1.5318, loss: 4.4693 +2022-09-02 06:17:44,268 - mmdet - INFO - Epoch [11][1500/7390] lr: 2.000e-03, eta: 1:14:06, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0229, loss_cls: 2.8378, loss_bbox: 1.5284, loss: 4.4392 +2022-09-02 06:18:01,791 - mmdet - INFO - Epoch [11][1550/7390] lr: 2.000e-03, eta: 1:13:49, time: 0.350, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0239, loss_cls: 2.8605, loss_bbox: 1.5329, loss: 4.4693 +2022-09-02 06:18:18,769 - mmdet - INFO - Epoch [11][1600/7390] lr: 2.000e-03, eta: 1:13:33, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0228, loss_cls: 2.8471, loss_bbox: 1.5200, loss: 4.4397 +2022-09-02 06:18:35,429 - mmdet - INFO - Epoch [11][1650/7390] lr: 2.000e-03, eta: 1:13:16, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0223, loss_cls: 2.8379, loss_bbox: 1.5448, loss: 4.4543 +2022-09-02 06:18:52,077 - mmdet - INFO - Epoch [11][1700/7390] lr: 2.000e-03, eta: 1:12:59, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 2.8457, loss_bbox: 1.5311, loss: 4.4500 +2022-09-02 06:19:09,001 - mmdet - INFO - Epoch [11][1750/7390] lr: 2.000e-03, eta: 1:12:42, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0232, loss_cls: 2.8457, loss_bbox: 1.5284, loss: 4.4485 +2022-09-02 06:19:25,232 - mmdet - INFO - Epoch [11][1800/7390] lr: 2.000e-03, eta: 1:12:26, time: 0.324, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0216, loss_cls: 2.8182, loss_bbox: 1.5322, loss: 4.4209 +2022-09-02 06:19:42,298 - mmdet - INFO - Epoch [11][1850/7390] lr: 2.000e-03, eta: 1:12:09, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0228, loss_cls: 2.8302, loss_bbox: 1.5228, loss: 4.4256 +2022-09-02 06:19:59,080 - mmdet - INFO - Epoch [11][1900/7390] lr: 2.000e-03, eta: 1:11:52, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0224, loss_cls: 2.8547, loss_bbox: 1.5327, loss: 4.4606 +2022-09-02 06:20:16,024 - mmdet - INFO - Epoch [11][1950/7390] lr: 2.000e-03, eta: 1:11:35, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0233, loss_cls: 2.8476, loss_bbox: 1.5394, loss: 4.4619 +2022-09-02 06:20:32,846 - mmdet - INFO - Epoch [11][2000/7390] lr: 2.000e-03, eta: 1:11:19, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0236, loss_cls: 2.8786, loss_bbox: 1.5261, loss: 4.4789 +2022-09-02 06:20:49,704 - mmdet - INFO - Epoch [11][2050/7390] lr: 2.000e-03, eta: 1:11:02, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0227, loss_cls: 2.8604, loss_bbox: 1.5285, loss: 4.4621 +2022-09-02 06:21:06,581 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:21:06,582 - mmdet - INFO - Epoch [11][2100/7390] lr: 2.000e-03, eta: 1:10:45, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0236, loss_cls: 2.8681, loss_bbox: 1.5249, loss: 4.4682 +2022-09-02 06:21:23,776 - mmdet - INFO - Epoch [11][2150/7390] lr: 2.000e-03, eta: 1:10:29, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0233, loss_cls: 2.8422, loss_bbox: 1.5292, loss: 4.4460 +2022-09-02 06:21:40,669 - mmdet - INFO - Epoch [11][2200/7390] lr: 2.000e-03, eta: 1:10:12, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0234, loss_cls: 2.8475, loss_bbox: 1.5258, loss: 4.4476 +2022-09-02 06:21:57,362 - mmdet - INFO - Epoch [11][2250/7390] lr: 2.000e-03, eta: 1:09:55, time: 0.334, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0235, loss_cls: 2.8624, loss_bbox: 1.5213, loss: 4.4587 +2022-09-02 06:22:14,054 - mmdet - INFO - Epoch [11][2300/7390] lr: 2.000e-03, eta: 1:09:38, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0230, loss_cls: 2.8522, loss_bbox: 1.5278, loss: 4.4532 +2022-09-02 06:22:30,887 - mmdet - INFO - Epoch [11][2350/7390] lr: 2.000e-03, eta: 1:09:22, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0234, loss_cls: 2.8674, loss_bbox: 1.5203, loss: 4.4611 +2022-09-02 06:22:47,895 - mmdet - INFO - Epoch [11][2400/7390] lr: 2.000e-03, eta: 1:09:05, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0235, loss_cls: 2.8718, loss_bbox: 1.5326, loss: 4.4796 +2022-09-02 06:23:04,461 - mmdet - INFO - Epoch [11][2450/7390] lr: 2.000e-03, eta: 1:08:48, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0224, loss_cls: 2.8565, loss_bbox: 1.5381, loss: 4.4661 +2022-09-02 06:23:20,759 - mmdet - INFO - Epoch [11][2500/7390] lr: 2.000e-03, eta: 1:08:31, time: 0.326, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0222, loss_cls: 2.8239, loss_bbox: 1.5452, loss: 4.4407 +2022-09-02 06:23:37,225 - mmdet - INFO - Epoch [11][2550/7390] lr: 2.000e-03, eta: 1:08:15, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 2.8480, loss_bbox: 1.5196, loss: 4.4412 +2022-09-02 06:23:54,154 - mmdet - INFO - Epoch [11][2600/7390] lr: 2.000e-03, eta: 1:07:58, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0234, loss_cls: 2.8479, loss_bbox: 1.5259, loss: 4.4479 +2022-09-02 06:24:11,429 - mmdet - INFO - Epoch [11][2650/7390] lr: 2.000e-03, eta: 1:07:41, time: 0.346, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0235, loss_cls: 2.8647, loss_bbox: 1.5349, loss: 4.4744 +2022-09-02 06:24:28,886 - mmdet - INFO - Epoch [11][2700/7390] lr: 2.000e-03, eta: 1:07:25, time: 0.348, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0240, loss_cls: 2.8784, loss_bbox: 1.5367, loss: 4.4903 +2022-09-02 06:24:45,965 - mmdet - INFO - Epoch [11][2750/7390] lr: 2.000e-03, eta: 1:07:08, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0228, loss_cls: 2.8547, loss_bbox: 1.5313, loss: 4.4580 +2022-09-02 06:25:02,765 - mmdet - INFO - Epoch [11][2800/7390] lr: 2.000e-03, eta: 1:06:51, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0224, loss_cls: 2.8315, loss_bbox: 1.5335, loss: 4.4375 +2022-09-02 06:25:19,424 - mmdet - INFO - Epoch [11][2850/7390] lr: 2.000e-03, eta: 1:06:34, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8524, loss_bbox: 1.5280, loss: 4.4537 +2022-09-02 06:25:36,059 - mmdet - INFO - Epoch [11][2900/7390] lr: 2.000e-03, eta: 1:06:18, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 2.8595, loss_bbox: 1.5450, loss: 4.4778 +2022-09-02 06:25:52,322 - mmdet - INFO - Epoch [11][2950/7390] lr: 2.000e-03, eta: 1:06:01, time: 0.326, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0223, loss_cls: 2.8390, loss_bbox: 1.5324, loss: 4.4436 +2022-09-02 06:26:11,766 - mmdet - INFO - Epoch [11][3000/7390] lr: 2.000e-03, eta: 1:05:44, time: 0.389, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0230, loss_cls: 2.8435, loss_bbox: 1.5276, loss: 4.4451 +2022-09-02 06:26:28,203 - mmdet - INFO - Epoch [11][3050/7390] lr: 2.000e-03, eta: 1:05:28, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0233, loss_cls: 2.8672, loss_bbox: 1.5244, loss: 4.4659 +2022-09-02 06:26:44,740 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:26:44,740 - mmdet - INFO - Epoch [11][3100/7390] lr: 2.000e-03, eta: 1:05:11, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0226, loss_cls: 2.8444, loss_bbox: 1.5301, loss: 4.4470 +2022-09-02 06:27:01,761 - mmdet - INFO - Epoch [11][3150/7390] lr: 2.000e-03, eta: 1:04:54, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0234, loss_cls: 2.8575, loss_bbox: 1.5264, loss: 4.4575 +2022-09-02 06:27:21,216 - mmdet - INFO - Epoch [11][3200/7390] lr: 2.000e-03, eta: 1:04:38, time: 0.389, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0232, loss_cls: 2.8461, loss_bbox: 1.5199, loss: 4.4398 +2022-09-02 06:27:40,178 - mmdet - INFO - Epoch [11][3250/7390] lr: 2.000e-03, eta: 1:04:21, time: 0.379, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0225, loss_cls: 2.8435, loss_bbox: 1.5369, loss: 4.4528 +2022-09-02 06:27:56,621 - mmdet - INFO - Epoch [11][3300/7390] lr: 2.000e-03, eta: 1:04:05, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0225, loss_cls: 2.8358, loss_bbox: 1.5246, loss: 4.4328 +2022-09-02 06:28:16,491 - mmdet - INFO - Epoch [11][3350/7390] lr: 2.000e-03, eta: 1:03:48, time: 0.398, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0229, loss_cls: 2.8418, loss_bbox: 1.5341, loss: 4.4488 +2022-09-02 06:28:33,251 - mmdet - INFO - Epoch [11][3400/7390] lr: 2.000e-03, eta: 1:03:32, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0231, loss_cls: 2.8537, loss_bbox: 1.5282, loss: 4.4556 +2022-09-02 06:28:50,209 - mmdet - INFO - Epoch [11][3450/7390] lr: 2.000e-03, eta: 1:03:15, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0233, loss_cls: 2.8515, loss_bbox: 1.5320, loss: 4.4581 +2022-09-02 06:29:06,986 - mmdet - INFO - Epoch [11][3500/7390] lr: 2.000e-03, eta: 1:02:58, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.8581, loss_bbox: 1.5375, loss: 4.4700 +2022-09-02 06:29:23,704 - mmdet - INFO - Epoch [11][3550/7390] lr: 2.000e-03, eta: 1:02:41, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0227, loss_cls: 2.8495, loss_bbox: 1.5364, loss: 4.4583 +2022-09-02 06:29:42,767 - mmdet - INFO - Epoch [11][3600/7390] lr: 2.000e-03, eta: 1:02:25, time: 0.381, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0227, loss_cls: 2.8382, loss_bbox: 1.5340, loss: 4.4454 +2022-09-02 06:29:59,787 - mmdet - INFO - Epoch [11][3650/7390] lr: 2.000e-03, eta: 1:02:08, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0239, loss_cls: 2.8772, loss_bbox: 1.5295, loss: 4.4823 +2022-09-02 06:30:18,802 - mmdet - INFO - Epoch [11][3700/7390] lr: 2.000e-03, eta: 1:01:52, time: 0.380, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0230, loss_cls: 2.8706, loss_bbox: 1.5387, loss: 4.4824 +2022-09-02 06:30:40,403 - mmdet - INFO - Epoch [11][3750/7390] lr: 2.000e-03, eta: 1:01:36, time: 0.432, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0230, loss_cls: 2.8698, loss_bbox: 1.5317, loss: 4.4753 +2022-09-02 06:30:57,456 - mmdet - INFO - Epoch [11][3800/7390] lr: 2.000e-03, eta: 1:01:19, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0224, loss_cls: 2.8434, loss_bbox: 1.5392, loss: 4.4548 +2022-09-02 06:31:14,468 - mmdet - INFO - Epoch [11][3850/7390] lr: 2.000e-03, eta: 1:01:02, time: 0.339, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0233, loss_cls: 2.8635, loss_bbox: 1.5241, loss: 4.4619 +2022-09-02 06:31:31,447 - mmdet - INFO - Epoch [11][3900/7390] lr: 2.000e-03, eta: 1:00:46, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 2.8457, loss_bbox: 1.5294, loss: 4.4500 +2022-09-02 06:31:48,665 - mmdet - INFO - Epoch [11][3950/7390] lr: 2.000e-03, eta: 1:00:29, time: 0.345, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0235, loss_cls: 2.8523, loss_bbox: 1.5336, loss: 4.4602 +2022-09-02 06:32:05,596 - mmdet - INFO - Epoch [11][4000/7390] lr: 2.000e-03, eta: 1:00:12, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.8470, loss_bbox: 1.5129, loss: 4.4336 +2022-09-02 06:32:22,395 - mmdet - INFO - Epoch [11][4050/7390] lr: 2.000e-03, eta: 0:59:55, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0233, loss_cls: 2.8662, loss_bbox: 1.5248, loss: 4.4646 +2022-09-02 06:32:38,701 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:32:38,701 - mmdet - INFO - Epoch [11][4100/7390] lr: 2.000e-03, eta: 0:59:39, time: 0.326, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0229, loss_cls: 2.8577, loss_bbox: 1.5321, loss: 4.4641 +2022-09-02 06:32:55,379 - mmdet - INFO - Epoch [11][4150/7390] lr: 2.000e-03, eta: 0:59:22, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0223, loss_cls: 2.8352, loss_bbox: 1.5294, loss: 4.4361 +2022-09-02 06:33:12,041 - mmdet - INFO - Epoch [11][4200/7390] lr: 2.000e-03, eta: 0:59:05, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0227, loss_cls: 2.8408, loss_bbox: 1.5280, loss: 4.4423 +2022-09-02 06:33:29,124 - mmdet - INFO - Epoch [11][4250/7390] lr: 2.000e-03, eta: 0:58:48, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0233, loss_cls: 2.8543, loss_bbox: 1.5237, loss: 4.4520 +2022-09-02 06:33:45,925 - mmdet - INFO - Epoch [11][4300/7390] lr: 2.000e-03, eta: 0:58:32, time: 0.336, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0231, loss_cls: 2.8542, loss_bbox: 1.5287, loss: 4.4568 +2022-09-02 06:34:02,860 - mmdet - INFO - Epoch [11][4350/7390] lr: 2.000e-03, eta: 0:58:15, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0230, loss_cls: 2.8590, loss_bbox: 1.5362, loss: 4.4684 +2022-09-02 06:34:19,854 - mmdet - INFO - Epoch [11][4400/7390] lr: 2.000e-03, eta: 0:57:58, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0234, loss_cls: 2.8544, loss_bbox: 1.5250, loss: 4.4536 +2022-09-02 06:34:36,366 - mmdet - INFO - Epoch [11][4450/7390] lr: 2.000e-03, eta: 0:57:41, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0228, loss_cls: 2.8469, loss_bbox: 1.5239, loss: 4.4433 +2022-09-02 06:34:53,434 - mmdet - INFO - Epoch [11][4500/7390] lr: 2.000e-03, eta: 0:57:25, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0234, loss_cls: 2.8549, loss_bbox: 1.5269, loss: 4.4565 +2022-09-02 06:35:10,283 - mmdet - INFO - Epoch [11][4550/7390] lr: 2.000e-03, eta: 0:57:08, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0224, loss_cls: 2.8407, loss_bbox: 1.5294, loss: 4.4415 +2022-09-02 06:35:27,147 - mmdet - INFO - Epoch [11][4600/7390] lr: 2.000e-03, eta: 0:56:51, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0233, loss_cls: 2.8629, loss_bbox: 1.5303, loss: 4.4671 +2022-09-02 06:35:43,719 - mmdet - INFO - Epoch [11][4650/7390] lr: 2.000e-03, eta: 0:56:34, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0225, loss_cls: 2.8560, loss_bbox: 1.5274, loss: 4.4550 +2022-09-02 06:36:00,480 - mmdet - INFO - Epoch [11][4700/7390] lr: 2.000e-03, eta: 0:56:18, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0235, loss_cls: 2.8594, loss_bbox: 1.5267, loss: 4.4615 +2022-09-02 06:36:17,084 - mmdet - INFO - Epoch [11][4750/7390] lr: 2.000e-03, eta: 0:56:01, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0231, loss_cls: 2.8411, loss_bbox: 1.5206, loss: 4.4346 +2022-09-02 06:36:33,931 - mmdet - INFO - Epoch [11][4800/7390] lr: 2.000e-03, eta: 0:55:44, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0229, loss_cls: 2.8494, loss_bbox: 1.5287, loss: 4.4507 +2022-09-02 06:36:50,593 - mmdet - INFO - Epoch [11][4850/7390] lr: 2.000e-03, eta: 0:55:27, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0232, loss_cls: 2.8592, loss_bbox: 1.5268, loss: 4.4596 +2022-09-02 06:37:07,357 - mmdet - INFO - Epoch [11][4900/7390] lr: 2.000e-03, eta: 0:55:11, time: 0.335, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0226, loss_cls: 2.8326, loss_bbox: 1.5306, loss: 4.4360 +2022-09-02 06:37:24,196 - mmdet - INFO - Epoch [11][4950/7390] lr: 2.000e-03, eta: 0:54:54, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0228, loss_cls: 2.8535, loss_bbox: 1.5292, loss: 4.4559 +2022-09-02 06:37:40,979 - mmdet - INFO - Epoch [11][5000/7390] lr: 2.000e-03, eta: 0:54:37, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0232, loss_cls: 2.8530, loss_bbox: 1.5223, loss: 4.4496 +2022-09-02 06:37:57,962 - mmdet - INFO - Epoch [11][5050/7390] lr: 2.000e-03, eta: 0:54:20, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0231, loss_cls: 2.8505, loss_bbox: 1.5272, loss: 4.4519 +2022-09-02 06:38:14,616 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:38:14,616 - mmdet - INFO - Epoch [11][5100/7390] lr: 2.000e-03, eta: 0:54:04, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0226, loss_cls: 2.8476, loss_bbox: 1.5418, loss: 4.4624 +2022-09-02 06:38:31,830 - mmdet - INFO - Epoch [11][5150/7390] lr: 2.000e-03, eta: 0:53:47, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0235, loss_cls: 2.8861, loss_bbox: 1.5270, loss: 4.4873 +2022-09-02 06:38:48,771 - mmdet - INFO - Epoch [11][5200/7390] lr: 2.000e-03, eta: 0:53:30, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0237, loss_cls: 2.8581, loss_bbox: 1.5325, loss: 4.4661 +2022-09-02 06:39:05,277 - mmdet - INFO - Epoch [11][5250/7390] lr: 2.000e-03, eta: 0:53:13, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0228, loss_cls: 2.8709, loss_bbox: 1.5262, loss: 4.4700 +2022-09-02 06:39:22,105 - mmdet - INFO - Epoch [11][5300/7390] lr: 2.000e-03, eta: 0:52:57, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0227, loss_cls: 2.8423, loss_bbox: 1.5259, loss: 4.4406 +2022-09-02 06:39:39,248 - mmdet - INFO - Epoch [11][5350/7390] lr: 2.000e-03, eta: 0:52:40, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0236, loss_cls: 2.8511, loss_bbox: 1.5388, loss: 4.4650 +2022-09-02 06:39:56,407 - mmdet - INFO - Epoch [11][5400/7390] lr: 2.000e-03, eta: 0:52:23, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0235, loss_cls: 2.8688, loss_bbox: 1.5344, loss: 4.4773 +2022-09-02 06:40:12,782 - mmdet - INFO - Epoch [11][5450/7390] lr: 2.000e-03, eta: 0:52:06, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0225, loss_cls: 2.8409, loss_bbox: 1.5215, loss: 4.4349 +2022-09-02 06:40:29,259 - mmdet - INFO - Epoch [11][5500/7390] lr: 2.000e-03, eta: 0:51:50, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0224, loss_cls: 2.8322, loss_bbox: 1.5224, loss: 4.4263 +2022-09-02 06:40:46,479 - mmdet - INFO - Epoch [11][5550/7390] lr: 2.000e-03, eta: 0:51:33, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0239, loss_cls: 2.8565, loss_bbox: 1.5230, loss: 4.4554 +2022-09-02 06:41:03,671 - mmdet - INFO - Epoch [11][5600/7390] lr: 2.000e-03, eta: 0:51:16, time: 0.343, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0233, loss_cls: 2.8680, loss_bbox: 1.5291, loss: 4.4715 +2022-09-02 06:41:20,263 - mmdet - INFO - Epoch [11][5650/7390] lr: 2.000e-03, eta: 0:50:59, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0230, loss_cls: 2.8487, loss_bbox: 1.5401, loss: 4.4619 +2022-09-02 06:41:36,531 - mmdet - INFO - Epoch [11][5700/7390] lr: 2.000e-03, eta: 0:50:43, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0220, loss_cls: 2.8280, loss_bbox: 1.5227, loss: 4.4218 +2022-09-02 06:41:53,242 - mmdet - INFO - Epoch [11][5750/7390] lr: 2.000e-03, eta: 0:50:26, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0228, loss_cls: 2.8429, loss_bbox: 1.5378, loss: 4.4539 +2022-09-02 06:42:10,230 - mmdet - INFO - Epoch [11][5800/7390] lr: 2.000e-03, eta: 0:50:09, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0229, loss_cls: 2.8468, loss_bbox: 1.5350, loss: 4.4541 +2022-09-02 06:42:26,975 - mmdet - INFO - Epoch [11][5850/7390] lr: 2.000e-03, eta: 0:49:52, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0231, loss_cls: 2.8766, loss_bbox: 1.5463, loss: 4.4957 +2022-09-02 06:42:43,474 - mmdet - INFO - Epoch [11][5900/7390] lr: 2.000e-03, eta: 0:49:36, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0222, loss_cls: 2.8502, loss_bbox: 1.5325, loss: 4.4546 +2022-09-02 06:43:00,420 - mmdet - INFO - Epoch [11][5950/7390] lr: 2.000e-03, eta: 0:49:19, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0234, loss_cls: 2.8528, loss_bbox: 1.5188, loss: 4.4465 +2022-09-02 06:43:17,141 - mmdet - INFO - Epoch [11][6000/7390] lr: 2.000e-03, eta: 0:49:02, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 2.8505, loss_bbox: 1.5248, loss: 4.4485 +2022-09-02 06:43:33,562 - mmdet - INFO - Epoch [11][6050/7390] lr: 2.000e-03, eta: 0:48:45, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0227, loss_cls: 2.8563, loss_bbox: 1.5393, loss: 4.4677 +2022-09-02 06:43:50,698 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:43:50,699 - mmdet - INFO - Epoch [11][6100/7390] lr: 2.000e-03, eta: 0:48:29, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0225, loss_cls: 2.8458, loss_bbox: 1.5293, loss: 4.4468 +2022-09-02 06:44:07,382 - mmdet - INFO - Epoch [11][6150/7390] lr: 2.000e-03, eta: 0:48:12, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0229, loss_cls: 2.8416, loss_bbox: 1.5310, loss: 4.4460 +2022-09-02 06:44:24,282 - mmdet - INFO - Epoch [11][6200/7390] lr: 2.000e-03, eta: 0:47:55, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0231, loss_cls: 2.8630, loss_bbox: 1.5299, loss: 4.4666 +2022-09-02 06:44:41,060 - mmdet - INFO - Epoch [11][6250/7390] lr: 2.000e-03, eta: 0:47:38, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0231, loss_cls: 2.8544, loss_bbox: 1.5302, loss: 4.4570 +2022-09-02 06:44:57,915 - mmdet - INFO - Epoch [11][6300/7390] lr: 2.000e-03, eta: 0:47:22, time: 0.337, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0234, loss_cls: 2.8600, loss_bbox: 1.5301, loss: 4.4653 +2022-09-02 06:45:14,539 - mmdet - INFO - Epoch [11][6350/7390] lr: 2.000e-03, eta: 0:47:05, time: 0.333, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0228, loss_cls: 2.8340, loss_bbox: 1.5269, loss: 4.4339 +2022-09-02 06:45:31,499 - mmdet - INFO - Epoch [11][6400/7390] lr: 2.000e-03, eta: 0:46:48, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0235, loss_cls: 2.8685, loss_bbox: 1.5212, loss: 4.4636 +2022-09-02 06:45:48,655 - mmdet - INFO - Epoch [11][6450/7390] lr: 2.000e-03, eta: 0:46:31, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0238, loss_cls: 2.8723, loss_bbox: 1.5356, loss: 4.4831 +2022-09-02 06:46:05,211 - mmdet - INFO - Epoch [11][6500/7390] lr: 2.000e-03, eta: 0:46:15, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 2.8499, loss_bbox: 1.5247, loss: 4.4478 +2022-09-02 06:46:22,411 - mmdet - INFO - Epoch [11][6550/7390] lr: 2.000e-03, eta: 0:45:58, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0231, loss_cls: 2.8422, loss_bbox: 1.5194, loss: 4.4352 +2022-09-02 06:46:39,219 - mmdet - INFO - Epoch [11][6600/7390] lr: 2.000e-03, eta: 0:45:41, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0234, loss_cls: 2.8752, loss_bbox: 1.5268, loss: 4.4760 +2022-09-02 06:46:56,644 - mmdet - INFO - Epoch [11][6650/7390] lr: 2.000e-03, eta: 0:45:24, time: 0.349, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0234, loss_cls: 2.8707, loss_bbox: 1.5295, loss: 4.4744 +2022-09-02 06:47:13,344 - mmdet - INFO - Epoch [11][6700/7390] lr: 2.000e-03, eta: 0:45:08, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.8464, loss_bbox: 1.5326, loss: 4.4533 +2022-09-02 06:47:30,492 - mmdet - INFO - Epoch [11][6750/7390] lr: 2.000e-03, eta: 0:44:51, time: 0.343, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0234, loss_cls: 2.8585, loss_bbox: 1.5383, loss: 4.4713 +2022-09-02 06:47:47,607 - mmdet - INFO - Epoch [11][6800/7390] lr: 2.000e-03, eta: 0:44:34, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0231, loss_cls: 2.8710, loss_bbox: 1.5407, loss: 4.4852 +2022-09-02 06:48:03,808 - mmdet - INFO - Epoch [11][6850/7390] lr: 2.000e-03, eta: 0:44:17, time: 0.324, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0220, loss_cls: 2.8509, loss_bbox: 1.5223, loss: 4.4444 +2022-09-02 06:48:20,553 - mmdet - INFO - Epoch [11][6900/7390] lr: 2.000e-03, eta: 0:44:01, time: 0.336, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0228, loss_cls: 2.8525, loss_bbox: 1.5212, loss: 4.4474 +2022-09-02 06:48:37,618 - mmdet - INFO - Epoch [11][6950/7390] lr: 2.000e-03, eta: 0:43:44, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0235, loss_cls: 2.8677, loss_bbox: 1.5280, loss: 4.4704 +2022-09-02 06:48:54,274 - mmdet - INFO - Epoch [11][7000/7390] lr: 2.000e-03, eta: 0:43:27, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0235, loss_cls: 2.8544, loss_bbox: 1.5135, loss: 4.4420 +2022-09-02 06:49:11,117 - mmdet - INFO - Epoch [11][7050/7390] lr: 2.000e-03, eta: 0:43:10, time: 0.338, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0228, loss_cls: 2.8362, loss_bbox: 1.5278, loss: 4.4373 +2022-09-02 06:49:27,901 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:49:27,901 - mmdet - INFO - Epoch [11][7100/7390] lr: 2.000e-03, eta: 0:42:54, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0231, loss_cls: 2.8596, loss_bbox: 1.5205, loss: 4.4535 +2022-09-02 06:49:44,489 - mmdet - INFO - Epoch [11][7150/7390] lr: 2.000e-03, eta: 0:42:37, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 2.8569, loss_bbox: 1.5236, loss: 4.4537 +2022-09-02 06:50:01,535 - mmdet - INFO - Epoch [11][7200/7390] lr: 2.000e-03, eta: 0:42:20, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0239, loss_cls: 2.8668, loss_bbox: 1.5286, loss: 4.4707 +2022-09-02 06:50:18,483 - mmdet - INFO - Epoch [11][7250/7390] lr: 2.000e-03, eta: 0:42:03, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0233, loss_cls: 2.8604, loss_bbox: 1.5395, loss: 4.4740 +2022-09-02 06:50:34,786 - mmdet - INFO - Epoch [11][7300/7390] lr: 2.000e-03, eta: 0:41:47, time: 0.327, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0231, loss_cls: 2.8580, loss_bbox: 1.5260, loss: 4.4573 +2022-09-02 06:50:51,958 - mmdet - INFO - Epoch [11][7350/7390] lr: 2.000e-03, eta: 0:41:30, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.8503, loss_bbox: 1.5192, loss: 4.4431 +2022-09-02 06:51:05,759 - mmdet - INFO - Saving checkpoint at 11 epochs +2022-09-02 06:51:26,792 - mmdet - INFO - Epoch [12][50/7390] lr: 2.000e-04, eta: 0:40:59, time: 0.392, data_time: 0.070, memory: 4321, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 2.8613, loss_bbox: 1.5330, loss: 4.4679 +2022-09-02 06:51:43,279 - mmdet - INFO - Epoch [12][100/7390] lr: 2.000e-04, eta: 0:40:42, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0229, loss_cls: 2.8371, loss_bbox: 1.5289, loss: 4.4391 +2022-09-02 06:52:00,246 - mmdet - INFO - Epoch [12][150/7390] lr: 2.000e-04, eta: 0:40:25, time: 0.339, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0239, loss_cls: 2.8661, loss_bbox: 1.5298, loss: 4.4713 +2022-09-02 06:52:16,852 - mmdet - INFO - Epoch [12][200/7390] lr: 2.000e-04, eta: 0:40:08, time: 0.332, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.8522, loss_bbox: 1.5278, loss: 4.4535 +2022-09-02 06:52:33,843 - mmdet - INFO - Epoch [12][250/7390] lr: 2.000e-04, eta: 0:39:52, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0234, loss_cls: 2.8555, loss_bbox: 1.5281, loss: 4.4574 +2022-09-02 06:52:50,623 - mmdet - INFO - Epoch [12][300/7390] lr: 2.000e-04, eta: 0:39:35, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0234, loss_cls: 2.8514, loss_bbox: 1.5244, loss: 4.4513 +2022-09-02 06:53:07,207 - mmdet - INFO - Epoch [12][350/7390] lr: 2.000e-04, eta: 0:39:18, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0231, loss_cls: 2.8421, loss_bbox: 1.5296, loss: 4.4454 +2022-09-02 06:53:23,834 - mmdet - INFO - Epoch [12][400/7390] lr: 2.000e-04, eta: 0:39:01, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 2.8463, loss_bbox: 1.5263, loss: 4.4453 +2022-09-02 06:53:40,734 - mmdet - INFO - Epoch [12][450/7390] lr: 2.000e-04, eta: 0:38:45, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0233, loss_cls: 2.8666, loss_bbox: 1.5260, loss: 4.4662 +2022-09-02 06:53:57,322 - mmdet - INFO - Epoch [12][500/7390] lr: 2.000e-04, eta: 0:38:28, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0234, loss_cls: 2.8587, loss_bbox: 1.5167, loss: 4.4496 +2022-09-02 06:54:13,959 - mmdet - INFO - Epoch [12][550/7390] lr: 2.000e-04, eta: 0:38:11, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0224, loss_cls: 2.8309, loss_bbox: 1.5323, loss: 4.4344 +2022-09-02 06:54:30,590 - mmdet - INFO - Epoch [12][600/7390] lr: 2.000e-04, eta: 0:37:54, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0228, loss_cls: 2.8493, loss_bbox: 1.5114, loss: 4.4333 +2022-09-02 06:54:47,232 - mmdet - INFO - Epoch [12][650/7390] lr: 2.000e-04, eta: 0:37:38, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0225, loss_cls: 2.8473, loss_bbox: 1.5345, loss: 4.4534 +2022-09-02 06:55:03,867 - mmdet - INFO - Epoch [12][700/7390] lr: 2.000e-04, eta: 0:37:21, time: 0.332, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0223, loss_cls: 2.8339, loss_bbox: 1.5228, loss: 4.4285 +2022-09-02 06:55:20,024 - mmdet - INFO - Epoch [12][750/7390] lr: 2.000e-04, eta: 0:37:04, time: 0.324, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0226, loss_cls: 2.8396, loss_bbox: 1.5333, loss: 4.4449 +2022-09-02 06:55:36,179 - mmdet - INFO - Epoch [12][800/7390] lr: 2.000e-04, eta: 0:36:47, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0224, loss_cls: 2.8439, loss_bbox: 1.5201, loss: 4.4356 +2022-09-02 06:55:52,888 - mmdet - INFO - Epoch [12][850/7390] lr: 2.000e-04, eta: 0:36:31, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0235, loss_cls: 2.8479, loss_bbox: 1.5171, loss: 4.4393 +2022-09-02 06:56:09,424 - mmdet - INFO - Epoch [12][900/7390] lr: 2.000e-04, eta: 0:36:14, time: 0.331, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0227, loss_cls: 2.8440, loss_bbox: 1.5334, loss: 4.4498 +2022-09-02 06:56:26,487 - mmdet - INFO - Epoch [12][950/7390] lr: 2.000e-04, eta: 0:35:57, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0234, loss_cls: 2.8510, loss_bbox: 1.5316, loss: 4.4563 +2022-09-02 06:56:43,240 - mmdet - INFO - Epoch [12][1000/7390] lr: 2.000e-04, eta: 0:35:40, time: 0.335, data_time: 0.010, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0234, loss_cls: 2.8480, loss_bbox: 1.5270, loss: 4.4486 +2022-09-02 06:56:59,895 - mmdet - INFO - Epoch [12][1050/7390] lr: 2.000e-04, eta: 0:35:24, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0231, loss_cls: 2.8460, loss_bbox: 1.5282, loss: 4.4477 +2022-09-02 06:57:16,577 - mmdet - INFO - Epoch [12][1100/7390] lr: 2.000e-04, eta: 0:35:07, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8489, loss_bbox: 1.5186, loss: 4.4410 +2022-09-02 06:57:33,029 - mmdet - INFO - Epoch [12][1150/7390] lr: 2.000e-04, eta: 0:34:50, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 2.8411, loss_bbox: 1.5250, loss: 4.4396 +2022-09-02 06:57:49,989 - mmdet - INFO - Epoch [12][1200/7390] lr: 2.000e-04, eta: 0:34:33, time: 0.339, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0231, loss_cls: 2.8466, loss_bbox: 1.5345, loss: 4.4545 +2022-09-02 06:58:06,798 - mmdet - INFO - Epoch [12][1250/7390] lr: 2.000e-04, eta: 0:34:17, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0228, loss_cls: 2.8422, loss_bbox: 1.5249, loss: 4.4398 +2022-09-02 06:58:23,957 - mmdet - INFO - Epoch [12][1300/7390] lr: 2.000e-04, eta: 0:34:00, time: 0.344, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0238, loss_cls: 2.8561, loss_bbox: 1.5377, loss: 4.4687 +2022-09-02 06:58:40,762 - mmdet - INFO - Epoch [12][1350/7390] lr: 2.000e-04, eta: 0:33:43, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 2.8505, loss_bbox: 1.5325, loss: 4.4557 +2022-09-02 06:58:57,794 - mmdet - INFO - Epoch [12][1400/7390] lr: 2.000e-04, eta: 0:33:26, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0223, loss_cls: 2.8166, loss_bbox: 1.5299, loss: 4.4186 +2022-09-02 06:59:14,672 - mmdet - INFO - Epoch [12][1450/7390] lr: 2.000e-04, eta: 0:33:10, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0231, loss_cls: 2.8570, loss_bbox: 1.5303, loss: 4.4609 +2022-09-02 06:59:31,796 - mmdet - INFO - Epoch [12][1500/7390] lr: 2.000e-04, eta: 0:32:53, time: 0.342, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0230, loss_cls: 2.8352, loss_bbox: 1.5357, loss: 4.4433 +2022-09-02 06:59:48,747 - mmdet - INFO - Epoch [12][1550/7390] lr: 2.000e-04, eta: 0:32:36, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 2.8430, loss_bbox: 1.5269, loss: 4.4430 +2022-09-02 07:00:05,848 - mmdet - INFO - Epoch [12][1600/7390] lr: 2.000e-04, eta: 0:32:19, time: 0.342, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0238, loss_cls: 2.8633, loss_bbox: 1.5384, loss: 4.4776 +2022-09-02 07:00:22,554 - mmdet - INFO - Epoch [12][1650/7390] lr: 2.000e-04, eta: 0:32:03, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0240, loss_cls: 2.8707, loss_bbox: 1.5188, loss: 4.4650 +2022-09-02 07:00:39,332 - mmdet - INFO - Epoch [12][1700/7390] lr: 2.000e-04, eta: 0:31:46, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0233, loss_cls: 2.8354, loss_bbox: 1.5393, loss: 4.4502 +2022-09-02 07:00:55,809 - mmdet - INFO - Epoch [12][1750/7390] lr: 2.000e-04, eta: 0:31:29, time: 0.330, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0230, loss_cls: 2.8486, loss_bbox: 1.5316, loss: 4.4544 +2022-09-02 07:01:12,893 - mmdet - INFO - Epoch [12][1800/7390] lr: 2.000e-04, eta: 0:31:12, time: 0.341, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0228, loss_cls: 2.8371, loss_bbox: 1.5264, loss: 4.4356 +2022-09-02 07:01:29,769 - mmdet - INFO - Epoch [12][1850/7390] lr: 2.000e-04, eta: 0:30:56, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0229, loss_cls: 2.8516, loss_bbox: 1.5303, loss: 4.4544 +2022-09-02 07:01:46,077 - mmdet - INFO - Epoch [12][1900/7390] lr: 2.000e-04, eta: 0:30:39, time: 0.326, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0225, loss_cls: 2.8384, loss_bbox: 1.5224, loss: 4.4326 +2022-09-02 07:02:02,518 - mmdet - INFO - Epoch [12][1950/7390] lr: 2.000e-04, eta: 0:30:22, time: 0.328, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0223, loss_cls: 2.8310, loss_bbox: 1.5227, loss: 4.4255 +2022-09-02 07:02:18,665 - mmdet - INFO - Epoch [12][2000/7390] lr: 2.000e-04, eta: 0:30:05, time: 0.323, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0223, loss_cls: 2.8358, loss_bbox: 1.5176, loss: 4.4249 +2022-09-02 07:02:35,071 - mmdet - INFO - Epoch [12][2050/7390] lr: 2.000e-04, eta: 0:29:49, time: 0.329, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0223, loss_cls: 2.8526, loss_bbox: 1.5310, loss: 4.4546 +2022-09-02 07:02:51,770 - mmdet - INFO - Epoch [12][2100/7390] lr: 2.000e-04, eta: 0:29:32, time: 0.334, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0231, loss_cls: 2.8401, loss_bbox: 1.5302, loss: 4.4444 +2022-09-02 07:03:09,161 - mmdet - INFO - Epoch [12][2150/7390] lr: 2.000e-04, eta: 0:29:15, time: 0.348, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0237, loss_cls: 2.8678, loss_bbox: 1.5275, loss: 4.4696 +2022-09-02 07:03:26,182 - mmdet - INFO - Epoch [12][2200/7390] lr: 2.000e-04, eta: 0:28:58, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0232, loss_cls: 2.8549, loss_bbox: 1.5214, loss: 4.4495 +2022-09-02 07:03:42,909 - mmdet - INFO - Epoch [12][2250/7390] lr: 2.000e-04, eta: 0:28:42, time: 0.334, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0231, loss_cls: 2.8489, loss_bbox: 1.5332, loss: 4.4555 +2022-09-02 07:04:00,165 - mmdet - INFO - Epoch [12][2300/7390] lr: 2.000e-04, eta: 0:28:25, time: 0.345, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0237, loss_cls: 2.8581, loss_bbox: 1.5299, loss: 4.4629 +2022-09-02 07:04:17,058 - mmdet - INFO - Epoch [12][2350/7390] lr: 2.000e-04, eta: 0:28:08, time: 0.338, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.8580, loss_bbox: 1.5261, loss: 4.4586 +2022-09-02 07:04:33,721 - mmdet - INFO - Epoch [12][2400/7390] lr: 2.000e-04, eta: 0:27:51, time: 0.333, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 2.8527, loss_bbox: 1.5234, loss: 4.4493 +2022-09-02 07:04:50,434 - mmdet - INFO - Epoch [12][2450/7390] lr: 2.000e-04, eta: 0:27:35, time: 0.335, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0230, loss_cls: 2.8448, loss_bbox: 1.5299, loss: 4.4478 +2022-09-02 07:05:07,085 - mmdet - INFO - Epoch [12][2500/7390] lr: 2.000e-04, eta: 0:27:18, time: 0.333, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0229, loss_cls: 2.8577, loss_bbox: 1.5293, loss: 4.4599 +2022-09-02 07:05:23,699 - mmdet - INFO - Epoch [12][2550/7390] lr: 2.000e-04, eta: 0:27:01, time: 0.332, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0227, loss_cls: 2.8554, loss_bbox: 1.5243, loss: 4.4522 +2022-09-02 07:05:40,251 - mmdet - INFO - Epoch [12][2600/7390] lr: 2.000e-04, eta: 0:26:44, time: 0.331, data_time: 0.008, memory: 4321, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0224, loss_cls: 2.8329, loss_bbox: 1.5297, loss: 4.4344 +2022-09-02 07:05:57,024 - mmdet - INFO - Epoch [12][2650/7390] lr: 2.000e-04, eta: 0:26:28, time: 0.336, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0230, loss_cls: 2.8566, loss_bbox: 1.5341, loss: 4.4647 +2022-09-02 07:06:14,043 - mmdet - INFO - Epoch [12][2700/7390] lr: 2.000e-04, eta: 0:26:11, time: 0.340, data_time: 0.009, memory: 4321, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0233, loss_cls: 2.8585, loss_bbox: 1.5233, loss: 4.4560 +2022-09-02 07:06:31,261 - mmdet - INFO - Epoch [12][2750/7390] lr: 2.000e-04, eta: 0:25:54, time: 0.345, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0228, loss_cls: 2.8383, loss_bbox: 1.5205, loss: 4.4310 +2022-09-02 07:06:48,775 - mmdet - INFO - Epoch [12][2800/7390] lr: 2.000e-04, eta: 0:25:37, time: 0.350, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.8404, loss_bbox: 1.5331, loss: 4.4479 +2022-09-02 07:07:05,487 - mmdet - INFO - Epoch [12][2850/7390] lr: 2.000e-04, eta: 0:25:21, time: 0.335, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0232, loss_cls: 2.8588, loss_bbox: 1.5312, loss: 4.4642 +2022-09-02 07:07:22,525 - mmdet - INFO - Epoch [12][2900/7390] lr: 2.000e-04, eta: 0:25:04, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0239, loss_cls: 2.8704, loss_bbox: 1.5253, loss: 4.4708 +2022-09-02 07:07:39,402 - mmdet - INFO - Epoch [12][2950/7390] lr: 2.000e-04, eta: 0:24:47, time: 0.338, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0225, loss_cls: 2.8301, loss_bbox: 1.5294, loss: 4.4319 +2022-09-02 07:07:56,399 - mmdet - INFO - Epoch [12][3000/7390] lr: 2.000e-04, eta: 0:24:30, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0233, loss_cls: 2.8571, loss_bbox: 1.5213, loss: 4.4518 +2022-09-02 07:08:13,470 - mmdet - INFO - Epoch [12][3050/7390] lr: 2.000e-04, eta: 0:24:14, time: 0.342, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0233, loss_cls: 2.8549, loss_bbox: 1.5220, loss: 4.4507 +2022-09-02 07:08:30,292 - mmdet - INFO - Epoch [12][3100/7390] lr: 2.000e-04, eta: 0:23:57, time: 0.336, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0238, loss_cls: 2.8555, loss_bbox: 1.5336, loss: 4.4638 +2022-09-02 07:08:46,654 - mmdet - INFO - Epoch [12][3150/7390] lr: 2.000e-04, eta: 0:23:40, time: 0.327, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0228, loss_cls: 2.8519, loss_bbox: 1.5276, loss: 4.4524 +2022-09-02 07:09:03,517 - mmdet - INFO - Epoch [12][3200/7390] lr: 2.000e-04, eta: 0:23:23, time: 0.338, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0233, loss_cls: 2.8512, loss_bbox: 1.5344, loss: 4.4596 +2022-09-02 07:09:20,177 - mmdet - INFO - Epoch [12][3250/7390] lr: 2.000e-04, eta: 0:23:07, time: 0.333, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0233, loss_cls: 2.8487, loss_bbox: 1.5341, loss: 4.4572 +2022-09-02 07:09:37,651 - mmdet - INFO - Epoch [12][3300/7390] lr: 2.000e-04, eta: 0:22:50, time: 0.349, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0234, loss_cls: 2.8563, loss_bbox: 1.5217, loss: 4.4523 +2022-09-02 07:09:54,546 - mmdet - INFO - Epoch [12][3350/7390] lr: 2.000e-04, eta: 0:22:33, time: 0.337, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0238, loss_cls: 2.8642, loss_bbox: 1.5331, loss: 4.4719 +2022-09-02 07:10:11,377 - mmdet - INFO - Epoch [12][3400/7390] lr: 2.000e-04, eta: 0:22:16, time: 0.337, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0232, loss_cls: 2.8529, loss_bbox: 1.5294, loss: 4.4572 +2022-09-02 07:10:28,191 - mmdet - INFO - Epoch [12][3450/7390] lr: 2.000e-04, eta: 0:22:00, time: 0.337, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0228, loss_cls: 2.8421, loss_bbox: 1.5190, loss: 4.4336 +2022-09-02 07:10:44,738 - mmdet - INFO - Epoch [12][3500/7390] lr: 2.000e-04, eta: 0:21:43, time: 0.331, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0229, loss_cls: 2.8635, loss_bbox: 1.5244, loss: 4.4613 +2022-09-02 07:11:01,460 - mmdet - INFO - Epoch [12][3550/7390] lr: 2.000e-04, eta: 0:21:26, time: 0.334, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0230, loss_cls: 2.8336, loss_bbox: 1.5239, loss: 4.4309 +2022-09-02 07:11:18,047 - mmdet - INFO - Epoch [12][3600/7390] lr: 2.000e-04, eta: 0:21:09, time: 0.332, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0225, loss_cls: 2.8452, loss_bbox: 1.5241, loss: 4.4409 +2022-09-02 07:11:34,598 - mmdet - INFO - Epoch [12][3650/7390] lr: 2.000e-04, eta: 0:20:53, time: 0.331, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0228, loss_cls: 2.8378, loss_bbox: 1.5308, loss: 4.4418 +2022-09-02 07:11:51,846 - mmdet - INFO - Epoch [12][3700/7390] lr: 2.000e-04, eta: 0:20:36, time: 0.345, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0236, loss_cls: 2.8741, loss_bbox: 1.5185, loss: 4.4673 +2022-09-02 07:12:08,682 - mmdet - INFO - Epoch [12][3750/7390] lr: 2.000e-04, eta: 0:20:19, time: 0.337, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0237, loss_cls: 2.8522, loss_bbox: 1.5291, loss: 4.4566 +2022-09-02 07:12:25,470 - mmdet - INFO - Epoch [12][3800/7390] lr: 2.000e-04, eta: 0:20:02, time: 0.336, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0232, loss_cls: 2.8471, loss_bbox: 1.5242, loss: 4.4458 +2022-09-02 07:12:42,389 - mmdet - INFO - Epoch [12][3850/7390] lr: 2.000e-04, eta: 0:19:46, time: 0.338, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0227, loss_cls: 2.8514, loss_bbox: 1.5267, loss: 4.4502 +2022-09-02 07:12:59,439 - mmdet - INFO - Epoch [12][3900/7390] lr: 2.000e-04, eta: 0:19:29, time: 0.341, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0233, loss_cls: 2.8495, loss_bbox: 1.5107, loss: 4.4333 +2022-09-02 07:13:16,363 - mmdet - INFO - Epoch [12][3950/7390] lr: 2.000e-04, eta: 0:19:12, time: 0.339, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0233, loss_cls: 2.8541, loss_bbox: 1.5320, loss: 4.4595 +2022-09-02 07:13:32,936 - mmdet - INFO - Epoch [12][4000/7390] lr: 2.000e-04, eta: 0:18:55, time: 0.331, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0224, loss_cls: 2.8401, loss_bbox: 1.5167, loss: 4.4285 +2022-09-02 07:13:49,734 - mmdet - INFO - Epoch [12][4050/7390] lr: 2.000e-04, eta: 0:18:39, time: 0.336, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0234, loss_cls: 2.8448, loss_bbox: 1.5208, loss: 4.4395 +2022-09-02 07:14:05,989 - mmdet - INFO - Epoch [12][4100/7390] lr: 2.000e-04, eta: 0:18:22, time: 0.324, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0223, loss_cls: 2.8499, loss_bbox: 1.5372, loss: 4.4590 +2022-09-02 07:14:22,715 - mmdet - INFO - Epoch [12][4150/7390] lr: 2.000e-04, eta: 0:18:05, time: 0.334, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0232, loss_cls: 2.8494, loss_bbox: 1.5250, loss: 4.4485 +2022-09-02 07:14:39,673 - mmdet - INFO - Epoch [12][4200/7390] lr: 2.000e-04, eta: 0:17:48, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 2.8433, loss_bbox: 1.5259, loss: 4.4423 +2022-09-02 07:14:56,678 - mmdet - INFO - Epoch [12][4250/7390] lr: 2.000e-04, eta: 0:17:32, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0230, loss_cls: 2.8352, loss_bbox: 1.5278, loss: 4.4358 +2022-09-02 07:15:14,002 - mmdet - INFO - Epoch [12][4300/7390] lr: 2.000e-04, eta: 0:17:15, time: 0.346, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0231, loss_cls: 2.8354, loss_bbox: 1.5209, loss: 4.4296 +2022-09-02 07:15:30,463 - mmdet - INFO - Epoch [12][4350/7390] lr: 2.000e-04, eta: 0:16:58, time: 0.329, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0225, loss_cls: 2.8666, loss_bbox: 1.5320, loss: 4.4703 +2022-09-02 07:15:47,225 - mmdet - INFO - Epoch [12][4400/7390] lr: 2.000e-04, eta: 0:16:41, time: 0.335, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0235, loss_cls: 2.8592, loss_bbox: 1.5147, loss: 4.4486 +2022-09-02 07:16:03,605 - mmdet - INFO - Epoch [12][4450/7390] lr: 2.000e-04, eta: 0:16:25, time: 0.328, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0226, loss_cls: 2.8460, loss_bbox: 1.5311, loss: 4.4498 +2022-09-02 07:16:20,272 - mmdet - INFO - Epoch [12][4500/7390] lr: 2.000e-04, eta: 0:16:08, time: 0.334, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0227, loss_cls: 2.8355, loss_bbox: 1.5223, loss: 4.4307 +2022-09-02 07:16:36,643 - mmdet - INFO - Epoch [12][4550/7390] lr: 2.000e-04, eta: 0:15:51, time: 0.327, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0225, loss_cls: 2.8421, loss_bbox: 1.5259, loss: 4.4400 +2022-09-02 07:16:53,524 - mmdet - INFO - Epoch [12][4600/7390] lr: 2.000e-04, eta: 0:15:34, time: 0.337, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0237, loss_cls: 2.8626, loss_bbox: 1.5188, loss: 4.4567 +2022-09-02 07:17:10,211 - mmdet - INFO - Epoch [12][4650/7390] lr: 2.000e-04, eta: 0:15:18, time: 0.334, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.8583, loss_bbox: 1.5260, loss: 4.4578 +2022-09-02 07:17:26,834 - mmdet - INFO - Epoch [12][4700/7390] lr: 2.000e-04, eta: 0:15:01, time: 0.332, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 2.8430, loss_bbox: 1.5346, loss: 4.4509 +2022-09-02 07:17:43,490 - mmdet - INFO - Epoch [12][4750/7390] lr: 2.000e-04, eta: 0:14:44, time: 0.333, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0224, loss_cls: 2.8366, loss_bbox: 1.5140, loss: 4.4224 +2022-09-02 07:18:00,055 - mmdet - INFO - Epoch [12][4800/7390] lr: 2.000e-04, eta: 0:14:27, time: 0.331, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0232, loss_cls: 2.8543, loss_bbox: 1.5252, loss: 4.4526 +2022-09-02 07:18:16,691 - mmdet - INFO - Epoch [12][4850/7390] lr: 2.000e-04, eta: 0:14:11, time: 0.333, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0233, loss_cls: 2.8465, loss_bbox: 1.5330, loss: 4.4535 +2022-09-02 07:18:33,183 - mmdet - INFO - Epoch [12][4900/7390] lr: 2.000e-04, eta: 0:13:54, time: 0.329, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0226, loss_cls: 2.8388, loss_bbox: 1.5299, loss: 4.4412 +2022-09-02 07:18:49,842 - mmdet - INFO - Epoch [12][4950/7390] lr: 2.000e-04, eta: 0:13:37, time: 0.333, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0227, loss_cls: 2.8490, loss_bbox: 1.5162, loss: 4.4380 +2022-09-02 07:19:06,484 - mmdet - INFO - Epoch [12][5000/7390] lr: 2.000e-04, eta: 0:13:20, time: 0.333, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0221, loss_cls: 2.8349, loss_bbox: 1.5194, loss: 4.4251 +2022-09-02 07:19:23,727 - mmdet - INFO - Epoch [12][5050/7390] lr: 2.000e-04, eta: 0:13:04, time: 0.344, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0228, loss_cls: 2.8394, loss_bbox: 1.5263, loss: 4.4374 +2022-09-02 07:19:40,279 - mmdet - INFO - Epoch [12][5100/7390] lr: 2.000e-04, eta: 0:12:47, time: 0.332, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0226, loss_cls: 2.8343, loss_bbox: 1.5131, loss: 4.4195 +2022-09-02 07:19:57,287 - mmdet - INFO - Epoch [12][5150/7390] lr: 2.000e-04, eta: 0:12:30, time: 0.339, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.8571, loss_bbox: 1.5355, loss: 4.4663 +2022-09-02 07:20:14,088 - mmdet - INFO - Epoch [12][5200/7390] lr: 2.000e-04, eta: 0:12:13, time: 0.336, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0235, loss_cls: 2.8541, loss_bbox: 1.5276, loss: 4.4556 +2022-09-02 07:20:31,074 - mmdet - INFO - Epoch [12][5250/7390] lr: 2.000e-04, eta: 0:11:57, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0232, loss_cls: 2.8441, loss_bbox: 1.5279, loss: 4.4451 +2022-09-02 07:20:48,020 - mmdet - INFO - Epoch [12][5300/7390] lr: 2.000e-04, eta: 0:11:40, time: 0.339, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0238, loss_cls: 2.8507, loss_bbox: 1.5201, loss: 4.4455 +2022-09-02 07:21:05,257 - mmdet - INFO - Epoch [12][5350/7390] lr: 2.000e-04, eta: 0:11:23, time: 0.345, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0233, loss_cls: 2.8547, loss_bbox: 1.5321, loss: 4.4610 +2022-09-02 07:21:21,681 - mmdet - INFO - Epoch [12][5400/7390] lr: 2.000e-04, eta: 0:11:06, time: 0.329, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0228, loss_cls: 2.8602, loss_bbox: 1.5264, loss: 4.4595 +2022-09-02 07:21:38,425 - mmdet - INFO - Epoch [12][5450/7390] lr: 2.000e-04, eta: 0:10:50, time: 0.334, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0228, loss_cls: 2.8515, loss_bbox: 1.5309, loss: 4.4557 +2022-09-02 07:21:55,496 - mmdet - INFO - Epoch [12][5500/7390] lr: 2.000e-04, eta: 0:10:33, time: 0.342, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0238, loss_cls: 2.8704, loss_bbox: 1.5308, loss: 4.4768 +2022-09-02 07:22:12,954 - mmdet - INFO - Epoch [12][5550/7390] lr: 2.000e-04, eta: 0:10:16, time: 0.349, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0237, loss_cls: 2.8622, loss_bbox: 1.5182, loss: 4.4556 +2022-09-02 07:22:30,246 - mmdet - INFO - Epoch [12][5600/7390] lr: 2.000e-04, eta: 0:09:59, time: 0.345, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0230, loss_cls: 2.8553, loss_bbox: 1.5256, loss: 4.4545 +2022-09-02 07:22:46,694 - mmdet - INFO - Epoch [12][5650/7390] lr: 2.000e-04, eta: 0:09:43, time: 0.330, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0226, loss_cls: 2.8409, loss_bbox: 1.5365, loss: 4.4495 +2022-09-02 07:23:03,722 - mmdet - INFO - Epoch [12][5700/7390] lr: 2.000e-04, eta: 0:09:26, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0232, loss_cls: 2.8435, loss_bbox: 1.5329, loss: 4.4502 +2022-09-02 07:23:20,328 - mmdet - INFO - Epoch [12][5750/7390] lr: 2.000e-04, eta: 0:09:09, time: 0.332, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0230, loss_cls: 2.8313, loss_bbox: 1.5295, loss: 4.4347 +2022-09-02 07:23:37,353 - mmdet - INFO - Epoch [12][5800/7390] lr: 2.000e-04, eta: 0:08:52, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 2.8374, loss_bbox: 1.5148, loss: 4.4248 +2022-09-02 07:23:53,782 - mmdet - INFO - Epoch [12][5850/7390] lr: 2.000e-04, eta: 0:08:36, time: 0.330, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0230, loss_cls: 2.8464, loss_bbox: 1.5348, loss: 4.4555 +2022-09-02 07:24:10,713 - mmdet - INFO - Epoch [12][5900/7390] lr: 2.000e-04, eta: 0:08:19, time: 0.338, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0227, loss_cls: 2.8743, loss_bbox: 1.5320, loss: 4.4784 +2022-09-02 07:24:27,766 - mmdet - INFO - Epoch [12][5950/7390] lr: 2.000e-04, eta: 0:08:02, time: 0.342, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0234, loss_cls: 2.8421, loss_bbox: 1.5318, loss: 4.4482 +2022-09-02 07:24:45,455 - mmdet - INFO - Epoch [12][6000/7390] lr: 2.000e-04, eta: 0:07:45, time: 0.353, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0238, loss_cls: 2.8642, loss_bbox: 1.5318, loss: 4.4722 +2022-09-02 07:25:02,057 - mmdet - INFO - Epoch [12][6050/7390] lr: 2.000e-04, eta: 0:07:29, time: 0.331, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0223, loss_cls: 2.8337, loss_bbox: 1.5213, loss: 4.4280 +2022-09-02 07:25:18,775 - mmdet - INFO - Epoch [12][6100/7390] lr: 2.000e-04, eta: 0:07:12, time: 0.335, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0229, loss_cls: 2.8524, loss_bbox: 1.5230, loss: 4.4484 +2022-09-02 07:25:36,090 - mmdet - INFO - Epoch [12][6150/7390] lr: 2.000e-04, eta: 0:06:55, time: 0.347, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0233, loss_cls: 2.8522, loss_bbox: 1.5408, loss: 4.4675 +2022-09-02 07:25:52,551 - mmdet - INFO - Epoch [12][6200/7390] lr: 2.000e-04, eta: 0:06:38, time: 0.330, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0226, loss_cls: 2.8450, loss_bbox: 1.5286, loss: 4.4455 +2022-09-02 07:26:09,492 - mmdet - INFO - Epoch [12][6250/7390] lr: 2.000e-04, eta: 0:06:22, time: 0.339, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0234, loss_cls: 2.8538, loss_bbox: 1.5172, loss: 4.4446 +2022-09-02 07:26:26,393 - mmdet - INFO - Epoch [12][6300/7390] lr: 2.000e-04, eta: 0:06:05, time: 0.338, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0224, loss_cls: 2.8568, loss_bbox: 1.5212, loss: 4.4496 +2022-09-02 07:26:42,587 - mmdet - INFO - Epoch [12][6350/7390] lr: 2.000e-04, eta: 0:05:48, time: 0.324, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0221, loss_cls: 2.8423, loss_bbox: 1.5330, loss: 4.4453 +2022-09-02 07:26:59,350 - mmdet - INFO - Epoch [12][6400/7390] lr: 2.000e-04, eta: 0:05:31, time: 0.335, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0236, loss_cls: 2.8588, loss_bbox: 1.5275, loss: 4.4610 +2022-09-02 07:27:16,374 - mmdet - INFO - Epoch [12][6450/7390] lr: 2.000e-04, eta: 0:05:14, time: 0.341, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 2.8463, loss_bbox: 1.5198, loss: 4.4406 +2022-09-02 07:27:33,042 - mmdet - INFO - Epoch [12][6500/7390] lr: 2.000e-04, eta: 0:04:58, time: 0.333, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0231, loss_cls: 2.8301, loss_bbox: 1.5210, loss: 4.4246 +2022-09-02 07:27:50,246 - mmdet - INFO - Epoch [12][6550/7390] lr: 2.000e-04, eta: 0:04:41, time: 0.345, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0239, loss_cls: 2.8431, loss_bbox: 1.5285, loss: 4.4474 +2022-09-02 07:28:07,382 - mmdet - INFO - Epoch [12][6600/7390] lr: 2.000e-04, eta: 0:04:24, time: 0.342, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0236, loss_cls: 2.8488, loss_bbox: 1.5245, loss: 4.4476 +2022-09-02 07:28:24,205 - mmdet - INFO - Epoch [12][6650/7390] lr: 2.000e-04, eta: 0:04:07, time: 0.337, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0228, loss_cls: 2.8419, loss_bbox: 1.5335, loss: 4.4476 +2022-09-02 07:28:41,244 - mmdet - INFO - Epoch [12][6700/7390] lr: 2.000e-04, eta: 0:03:51, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 2.8379, loss_bbox: 1.5209, loss: 4.4331 +2022-09-02 07:28:58,074 - mmdet - INFO - Epoch [12][6750/7390] lr: 2.000e-04, eta: 0:03:34, time: 0.336, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0231, loss_cls: 2.8322, loss_bbox: 1.5283, loss: 4.4350 +2022-09-02 07:29:14,620 - mmdet - INFO - Epoch [12][6800/7390] lr: 2.000e-04, eta: 0:03:17, time: 0.332, data_time: 0.010, memory: 4469, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0228, loss_cls: 2.8499, loss_bbox: 1.5214, loss: 4.4453 +2022-09-02 07:29:32,057 - mmdet - INFO - Epoch [12][6850/7390] lr: 2.000e-04, eta: 0:03:00, time: 0.348, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0239, loss_cls: 2.8630, loss_bbox: 1.5232, loss: 4.4621 +2022-09-02 07:29:48,748 - mmdet - INFO - Epoch [12][6900/7390] lr: 2.000e-04, eta: 0:02:44, time: 0.334, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0230, loss_cls: 2.8633, loss_bbox: 1.5270, loss: 4.4639 +2022-09-02 07:30:05,262 - mmdet - INFO - Epoch [12][6950/7390] lr: 2.000e-04, eta: 0:02:27, time: 0.330, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0229, loss_cls: 2.8447, loss_bbox: 1.5299, loss: 4.4485 +2022-09-02 07:30:22,309 - mmdet - INFO - Epoch [12][7000/7390] lr: 2.000e-04, eta: 0:02:10, time: 0.340, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 2.8485, loss_bbox: 1.5175, loss: 4.4392 +2022-09-02 07:30:39,102 - mmdet - INFO - Epoch [12][7050/7390] lr: 2.000e-04, eta: 0:01:53, time: 0.336, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0228, loss_cls: 2.8365, loss_bbox: 1.5198, loss: 4.4302 +2022-09-02 07:30:55,616 - mmdet - INFO - Epoch [12][7100/7390] lr: 2.000e-04, eta: 0:01:37, time: 0.330, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 2.8401, loss_bbox: 1.5310, loss: 4.4443 +2022-09-02 07:31:12,671 - mmdet - INFO - Epoch [12][7150/7390] lr: 2.000e-04, eta: 0:01:20, time: 0.341, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0231, loss_cls: 2.8404, loss_bbox: 1.5257, loss: 4.4400 +2022-09-02 07:31:29,166 - mmdet - INFO - Epoch [12][7200/7390] lr: 2.000e-04, eta: 0:01:03, time: 0.331, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0226, loss_cls: 2.8358, loss_bbox: 1.5262, loss: 4.4347 +2022-09-02 07:31:45,890 - mmdet - INFO - Epoch [12][7250/7390] lr: 2.000e-04, eta: 0:00:46, time: 0.334, data_time: 0.008, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0229, loss_cls: 2.8604, loss_bbox: 1.5290, loss: 4.4628 +2022-09-02 07:32:02,214 - mmdet - INFO - Epoch [12][7300/7390] lr: 2.000e-04, eta: 0:00:30, time: 0.327, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0227, loss_cls: 2.8510, loss_bbox: 1.5133, loss: 4.4375 +2022-09-02 07:32:18,903 - mmdet - INFO - Epoch [12][7350/7390] lr: 2.000e-04, eta: 0:00:13, time: 0.333, data_time: 0.009, memory: 4469, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0229, loss_cls: 2.8365, loss_bbox: 1.5310, loss: 4.4409 +2022-09-02 07:32:32,455 - mmdet - INFO - Saving checkpoint at 12 epochs diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/20220901_231349.log.json b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/20220901_231349.log.json new file mode 100644 index 0000000000000000000000000000000000000000..962f0ed4ec66eb3c34b60e89fb83f59238020e62 --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/20220901_231349.log.json @@ -0,0 +1,1765 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: A100-SXM-80GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.3, V11.3.109\nGCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0\nPyTorch: 1.10.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX512\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.11.1+cu113\nOpenCV: 4.6.0\nMMCV: 1.6.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.3\nMMDetection: 2.25.1+673dada", "config": "model = dict(\n type='SelfSupDetector',\n backbone=dict(\n type='SelfSupMaskRCNN',\n backbone=dict(\n type='ResNet',\n depth=50,\n num_stages=4,\n out_indices=(0, 1, 2, 3),\n frozen_stages=4,\n norm_cfg=dict(type='BN', requires_grad=False),\n norm_eval=True,\n style='pytorch',\n init_cfg=dict(\n type='Pretrained',\n checkpoint='pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth'\n )),\n neck=dict(\n type='FPN',\n in_channels=[256, 512, 1024, 2048],\n out_channels=256,\n num_outs=5),\n rpn_head=dict(\n type='RPNHead',\n in_channels=256,\n feat_channels=256,\n anchor_generator=dict(\n type='AnchorGenerator',\n scales=[8],\n ratios=[0.5, 1.0, 2.0],\n strides=[4, 8, 16, 32, 64]),\n bbox_coder=dict(\n type='DeltaXYWHBBoxCoder',\n target_means=[0.0, 0.0, 0.0, 0.0],\n target_stds=[1.0, 1.0, 1.0, 1.0]),\n loss_cls=dict(\n type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),\n loss_bbox=dict(type='L1Loss', loss_weight=1.0)),\n roi_head=dict(\n type='SelfSupStandardRoIHead',\n bbox_roi_extractor=dict(\n type='SingleRoIExtractor',\n roi_layer=dict(\n type='RoIAlign', output_size=7, sampling_ratio=0),\n out_channels=256,\n featmap_strides=[4, 8, 16, 32]),\n bbox_head=dict(\n type='SelfSupShared4Conv1FCBBoxHead',\n in_channels=256,\n num_classes=256,\n roi_feat_size=7,\n loss_cls=dict(\n type='ContrastiveLoss', loss_weight=1.0, temperature=0.2)),\n mask_roi_extractor=None,\n mask_head=None),\n train_cfg=dict(\n rpn=dict(\n assigner=dict(\n type='MaxIoUAssigner',\n pos_iou_thr=0.7,\n neg_iou_thr=0.3,\n min_pos_iou=0.3,\n match_low_quality=True,\n ignore_iof_thr=-1),\n sampler=dict(\n type='RandomSampler',\n num=4096,\n pos_fraction=1.0,\n neg_pos_ub=-1,\n add_gt_as_proposals=False),\n allowed_border=-1,\n pos_weight=-1,\n debug=False),\n rpn_proposal=dict(\n nms_pre=2000,\n max_per_img=1000,\n nms=dict(type='nms', iou_threshold=0.7),\n min_bbox_size=0),\n rcnn=dict(\n assigner=dict(\n type='MaxIoUAssigner',\n pos_iou_thr=0.5,\n neg_iou_thr=0.5,\n min_pos_iou=0.5,\n match_low_quality=True,\n ignore_iof_thr=-1,\n gt_max_assign_all=False),\n sampler=dict(\n type='RandomSampler',\n num=4096,\n pos_fraction=1,\n neg_pos_ub=0,\n add_gt_as_proposals=True),\n mask_size=28,\n pos_weight=-1,\n debug=False)),\n test_cfg=dict(\n rpn=dict(\n nms_pre=1000,\n max_per_img=1000,\n nms=dict(type='nms', iou_threshold=0.7),\n min_bbox_size=0),\n rcnn=dict(\n score_thr=0.05,\n nms=dict(type='nms', iou_threshold=0.5),\n max_per_img=100,\n mask_thr_binary=0.5))))\ntrain_dataset_type = 'MultiViewCocoDataset'\ntest_dataset_type = 'CocoDataset'\ndata_root = 'data/coco/'\nclasses = ['selective_search']\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\nload_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True, with_mask=False)\n]\ntrain_pipeline1 = [\n dict(\n type='Resize',\n img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n multiscale_mode='value',\n keep_ratio=True),\n dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)),\n dict(type='Pad', size_divisor=32),\n dict(type='RandFlip', flip_ratio=0.5),\n dict(\n type='OneOf',\n transforms=[\n dict(type='Identity'),\n dict(type='AutoContrast'),\n dict(type='RandEqualize'),\n dict(type='RandSolarize'),\n dict(type='RandColor'),\n dict(type='RandContrast'),\n dict(type='RandBrightness'),\n dict(type='RandSharpness'),\n dict(type='RandPosterize')\n ]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n]\ntrain_pipeline2 = [\n dict(\n type='Resize',\n img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n multiscale_mode='value',\n keep_ratio=True),\n dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)),\n dict(type='Pad', size_divisor=32),\n dict(type='RandFlip', flip_ratio=0.5),\n dict(\n type='OneOf',\n transforms=[\n dict(type='Identity'),\n dict(type='AutoContrast'),\n dict(type='RandEqualize'),\n dict(type='RandSolarize'),\n dict(type='RandColor'),\n dict(type='RandContrast'),\n dict(type='RandBrightness'),\n dict(type='RandSharpness'),\n dict(type='RandPosterize')\n ]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=2,\n workers_per_gpu=2,\n train=dict(\n type='MultiViewCocoDataset',\n dataset=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file=\n 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json',\n img_prefix='data/coco/train2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True, with_mask=False)\n ]),\n num_views=2,\n pipelines=[[{\n 'type':\n 'Resize',\n 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }, {\n 'type': 'FilterAnnotations',\n 'min_gt_bbox_wh': (0.01, 0.01)\n }, {\n 'type': 'Pad',\n 'size_divisor': 32\n }, {\n 'type': 'RandFlip',\n 'flip_ratio': 0.5\n }, {\n 'type':\n 'OneOf',\n 'transforms': [{\n 'type': 'Identity'\n }, {\n 'type': 'AutoContrast'\n }, {\n 'type': 'RandEqualize'\n }, {\n 'type': 'RandSolarize'\n }, {\n 'type': 'RandColor'\n }, {\n 'type': 'RandContrast'\n }, {\n 'type': 'RandBrightness'\n }, {\n 'type': 'RandSharpness'\n }, {\n 'type': 'RandPosterize'\n }]\n }, {\n 'type': 'Normalize',\n 'mean': [123.675, 116.28, 103.53],\n 'std': [58.395, 57.12, 57.375],\n 'to_rgb': True\n }, {\n 'type': 'DefaultFormatBundle'\n }, {\n 'type': 'Collect',\n 'keys': ['img', 'gt_bboxes', 'gt_labels']\n }],\n [{\n 'type':\n 'Resize',\n 'img_scale': [(1333, 640), (1333, 672), (1333, 704),\n (1333, 736), (1333, 768), (1333, 800)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }, {\n 'type': 'FilterAnnotations',\n 'min_gt_bbox_wh': (0.01, 0.01)\n }, {\n 'type': 'Pad',\n 'size_divisor': 32\n }, {\n 'type': 'RandFlip',\n 'flip_ratio': 0.5\n }, {\n 'type':\n 'OneOf',\n 'transforms': [{\n 'type': 'Identity'\n }, {\n 'type': 'AutoContrast'\n }, {\n 'type': 'RandEqualize'\n }, {\n 'type': 'RandSolarize'\n }, {\n 'type': 'RandColor'\n }, {\n 'type': 'RandContrast'\n }, {\n 'type': 'RandBrightness'\n }, {\n 'type': 'RandSharpness'\n }, {\n 'type': 'RandPosterize'\n }]\n }, {\n 'type': 'Normalize',\n 'mean': [123.675, 116.28, 103.53],\n 'std': [58.395, 57.12, 57.375],\n 'to_rgb': True\n }, {\n 'type': 'DefaultFormatBundle'\n }, {\n 'type': 'Collect',\n 'keys': ['img', 'gt_bboxes', 'gt_labels']\n }]]),\n val=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nevaluation = dict(metric='bbox', interval=65535)\noptimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)\noptimizer_config = dict(grad_clip=None)\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=500,\n warmup_ratio=0.001,\n step=[8, 11])\nrunner = dict(type='EpochBasedRunner', max_epochs=12)\ncheckpoint_config = dict(interval=1)\nlog_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')])\ncustom_hooks = [\n dict(type='MomentumUpdateHook'),\n dict(\n type='MMDetWandbHook',\n init_kwargs=dict(project='mmdet_pretrain', group='pretrain'),\n interval=50,\n num_eval_images=0,\n log_checkpoint=False)\n]\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\nopencv_num_threads = 0\nmp_start_method = 'fork'\nauto_scale_lr = dict(enable=False, base_batch_size=16)\ncustom_imports = dict(\n imports=[\n 'mmselfsup.core', 'mmselfsup.datasets.pipelines',\n 'selfsup.datasets.pipelines.selfsup_pipelines',\n 'selfsup.datasets.pipelines.rand_aug',\n 'selfsup.datasets.single_view_coco',\n 'selfsup.datasets.multi_view_coco',\n 'selfsup.models.losses.contrastive_loss',\n 'selfsup.models.dense_heads.fcos_head',\n 'selfsup.models.dense_heads.retina_head',\n 'selfsup.models.dense_heads.detr_head',\n 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head',\n 'selfsup.models.roi_heads.standard_roi_head',\n 'selfsup.models.detectors.selfsup_detector',\n 'selfsup.models.detectors.selfsup_fcos',\n 'selfsup.models.detectors.selfsup_detr',\n 'selfsup.models.detectors.selfsup_retinanet',\n 'selfsup.models.detectors.selfsup_mask_rcnn',\n 'selfsup.core.bbox.match_costs.match_cost'\n ],\n allow_failed_imports=False)\nwork_dir = 'work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain'\nauto_resume = False\ngpu_ids = range(0, 8)\n", "seed": 42, "exp_name": "mask_rcnn.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.00198, "memory": 2627, "data_time": 0.06984, "loss_rpn_cls": 0.67794, "loss_rpn_bbox": 0.02792, "loss_cls": 5.41152, "loss_bbox": 0.79084, "loss": 6.90823, "time": 0.49452} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.00398, "memory": 2627, "data_time": 0.00739, "loss_rpn_cls": 0.54526, "loss_rpn_bbox": 0.02876, "loss_cls": 5.1904, "loss_bbox": 1.1176, "loss": 6.88202, "time": 0.32474} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 0.00597, "memory": 2799, "data_time": 0.00757, "loss_rpn_cls": 0.16532, "loss_rpn_bbox": 0.02849, "loss_cls": 5.71321, "loss_bbox": 1.76412, "loss": 7.67114, "time": 0.40559} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 0.00797, "memory": 2799, "data_time": 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"train", "epoch": 12, "iter": 7250, "lr": 0.0002, "memory": 4469, "data_time": 0.00841, "loss_rpn_cls": 0.05048, "loss_rpn_bbox": 0.02294, "loss_cls": 2.86036, "loss_bbox": 1.52899, "loss": 4.46277, "time": 0.33364} +{"mode": "train", "epoch": 12, "iter": 7300, "lr": 0.0002, "memory": 4469, "data_time": 0.0094, "loss_rpn_cls": 0.0505, "loss_rpn_bbox": 0.02275, "loss_cls": 2.85097, "loss_bbox": 1.5133, "loss": 4.43752, "time": 0.32708} +{"mode": "train", "epoch": 12, "iter": 7350, "lr": 0.0002, "memory": 4469, "data_time": 0.00865, "loss_rpn_cls": 0.05048, "loss_rpn_bbox": 0.02291, "loss_cls": 2.83647, "loss_bbox": 1.53099, "loss": 4.44086, "time": 0.3334} diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/final_model.pth b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/final_model.pth new file mode 100644 index 0000000000000000000000000000000000000000..dcc1b6c3d3be868644080de8cf785f82654905d8 --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/final_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f7905e6dc0b5158a6f896575d62a3f3ed0c1dd9d7ff4bb8e923339c2b46b587c +size 170913485 diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/mask_rcnn.py b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/mask_rcnn.py new file mode 100644 index 0000000000000000000000000000000000000000..f51245fee6b85f53a9a4fd6afcecff999511ba6c --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain/mask_rcnn.py @@ -0,0 +1,417 @@ +model = dict( + type='SelfSupDetector', + backbone=dict( + type='SelfSupMaskRCNN', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=4, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch', + init_cfg=dict( + type='Pretrained', + checkpoint='pretrain/mocov2_resnet50_256bs-coslr-800e_in1k.pth' + )), + neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + roi_head=dict( + type='SelfSupStandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict( + type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='SelfSupShared4Conv1FCBBoxHead', + in_channels=256, + num_classes=256, + roi_feat_size=7, + loss_cls=dict( + type='ContrastiveLoss', loss_weight=1.0, temperature=0.2)), + mask_roi_extractor=None, + mask_head=None), + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1.0, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_pre=2000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=True, + ignore_iof_thr=-1, + gt_max_assign_all=False), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1, + neg_pos_ub=0, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False)), + test_cfg=dict( + rpn=dict( + nms_pre=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5)))) +train_dataset_type = 'MultiViewCocoDataset' +test_dataset_type = 'CocoDataset' +data_root = 'data/coco/' +classes = ['selective_search'] +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +load_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) +] +train_pipeline1 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +train_pipeline2 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type='MultiViewCocoDataset', + dataset=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file= + 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) + ]), + num_views=2, + pipelines=[[{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }], + [{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), + (1333, 736), (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }]]), + val=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict(metric='bbox', interval=65535) +optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='MomentumUpdateHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='mmdet_pretrain', group='pretrain'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=False, base_batch_size=16) +custom_imports = dict( + imports=[ + 'mmselfsup.core', 'mmselfsup.datasets.pipelines', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +work_dir = 'work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_mocov2-pretrain' +auto_resume = False +gpu_ids = range(0, 8) diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/20220901_231408.log b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/20220901_231408.log new file mode 100644 index 0000000000000000000000000000000000000000..294e01c35ba1d66cffad997b6b0a9e1a6db5dd0a --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/20220901_231408.log @@ -0,0 +1,3505 @@ +2022-09-01 23:14:08,608 - mmdet - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB +CUDA_HOME: /usr/local/cuda +NVCC: Cuda compilation tools, release 11.3, V11.3.109 +GCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0 +PyTorch: 1.10.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX512 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.11.1+cu113 +OpenCV: 4.6.0 +MMCV: 1.6.1 +MMCV Compiler: GCC 9.3 +MMCV CUDA Compiler: 11.3 +MMDetection: 2.25.1+673dada +------------------------------------------------------------ + +2022-09-01 23:14:10,114 - mmdet - INFO - Distributed training: True +2022-09-01 23:14:11,589 - mmdet - INFO - Config: +model = dict( + type='SelfSupDetector', + backbone=dict( + type='SelfSupMaskRCNN', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=4, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch', + init_cfg=dict( + type='Pretrained', + checkpoint='pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth' + )), + neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + roi_head=dict( + type='SelfSupStandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict( + type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='SelfSupShared4Conv1FCBBoxHead', + in_channels=256, + num_classes=256, + roi_feat_size=7, + loss_cls=dict( + type='ContrastiveLoss', loss_weight=1.0, temperature=0.2)), + mask_roi_extractor=None, + mask_head=None), + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1.0, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_pre=2000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=True, + ignore_iof_thr=-1, + gt_max_assign_all=False), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1, + neg_pos_ub=0, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False)), + test_cfg=dict( + rpn=dict( + nms_pre=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5)))) +train_dataset_type = 'MultiViewCocoDataset' +test_dataset_type = 'CocoDataset' +data_root = 'data/coco/' +classes = ['selective_search'] +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +load_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) +] +train_pipeline1 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +train_pipeline2 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type='MultiViewCocoDataset', + dataset=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file= + 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) + ]), + num_views=2, + pipelines=[[{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }], + [{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), + (1333, 736), (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }]]), + val=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict(metric='bbox', interval=65535) +optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='MomentumUpdateHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='mmdet_pretrain', group='pretrain'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=False, base_batch_size=16) +custom_imports = dict( + imports=[ + 'mmselfsup.core', 'mmselfsup.datasets.pipelines', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +work_dir = 'work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain' +auto_resume = False +gpu_ids = range(0, 8) + +2022-09-01 23:14:11,589 - mmdet - INFO - Set random seed to 42, deterministic: False +2022-09-01 23:14:12,487 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth'} +2022-09-01 23:14:12,638 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} +2022-09-01 23:14:12,657 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} +2022-09-01 23:14:12,661 - mmdet - INFO - initialize SelfSupShared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] +2022-09-01 23:14:12,752 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth'} +2022-09-01 23:14:12,900 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} +2022-09-01 23:14:12,926 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} +2022-09-01 23:14:12,931 - mmdet - INFO - initialize SelfSupShared4Conv1FCBBoxHead with init_cfg [{'type': 'Normal', 'std': 0.01, 'override': {'name': 'fc_cls'}}, {'type': 'Normal', 'std': 0.001, 'override': {'name': 'fc_reg'}}, {'type': 'Xavier', 'distribution': 'uniform', 'override': [{'name': 'shared_fcs'}, {'name': 'cls_fcs'}, {'name': 'reg_fcs'}]}] +Name of parameter - Initialization information + +online_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +online_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 512, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.lateral_convs.3.conv.weight - torch.Size([256, 2048, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +online_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.001, bias=0 + +online_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.001, bias=0 + +online_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +online_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +XavierInit: gain=1, distribution=uniform, bias=0 + +online_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): +PretrainedInit: load from pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth + +target_backbone.neck.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.1.conv.weight - torch.Size([256, 512, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.lateral_convs.3.conv.weight - torch.Size([256, 2048, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_conv.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_cls.bias - torch.Size([3]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.rpn_head.rpn_reg.bias - torch.Size([12]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.0.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.0.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.2.weight - torch.Size([256, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_cls.2.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +target_backbone.roi_head.bbox_head.fc_reg.weight - torch.Size([1024, 1024]): +NormalInit: mean=0, std=0.001, bias=0 + +target_backbone.roi_head.bbox_head.fc_reg.bias - torch.Size([1024]): +NormalInit: mean=0, std=0.001, bias=0 + +target_backbone.roi_head.bbox_head.shared_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of SelfSupDetector + +target_backbone.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +XavierInit: gain=1, distribution=uniform, bias=0 + +target_backbone.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 +2022-09-01 23:14:44,571 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. +2022-09-01 23:14:44,952 - mmdet - INFO - Start running, host: tiger@n136-148-214, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain +2022-09-01 23:14:44,953 - mmdet - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) MomentumUpdateHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) MomentumUpdateHook +(NORMAL ) MMDetWandbHook +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) MMDetWandbHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) MMDetWandbHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(NORMAL ) MMDetWandbHook +(VERY_LOW ) TextLoggerHook + -------------------- +2022-09-01 23:14:44,953 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs +2022-09-01 23:14:44,953 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain by HardDiskBackend. +2022-09-01 23:15:08,470 - mmdet - INFO - Epoch [1][50/7390] lr: 1.978e-03, eta: 10:49:29, time: 0.440, data_time: 0.074, memory: 2655, loss_rpn_cls: 0.2995, loss_rpn_bbox: 0.0302, loss_cls: 6.3596, loss_bbox: 1.5969, loss: 8.2862 +2022-09-01 23:15:25,363 - mmdet - INFO - Epoch [1][100/7390] lr: 3.976e-03, eta: 9:33:57, time: 0.338, data_time: 0.009, memory: 2655, loss_rpn_cls: 0.1125, loss_rpn_bbox: 0.0288, loss_cls: 5.9521, loss_bbox: 1.9490, loss: 8.0424 +2022-09-01 23:15:41,962 - mmdet - INFO - Epoch [1][150/7390] lr: 5.974e-03, eta: 9:05:29, time: 0.332, data_time: 0.009, memory: 2796, loss_rpn_cls: 0.1082, loss_rpn_bbox: 0.0284, loss_cls: 5.8406, loss_bbox: 1.9499, loss: 7.9272 +2022-09-01 23:15:58,236 - mmdet - INFO - Epoch [1][200/7390] lr: 7.972e-03, eta: 8:48:45, time: 0.325, data_time: 0.009, memory: 2796, loss_rpn_cls: 0.0973, loss_rpn_bbox: 0.0265, loss_cls: 5.8509, loss_bbox: 2.0325, loss: 8.0071 +2022-09-01 23:16:14,725 - mmdet - INFO - Epoch [1][250/7390] lr: 9.970e-03, eta: 8:40:10, time: 0.330, data_time: 0.009, memory: 2860, loss_rpn_cls: 0.0923, loss_rpn_bbox: 0.0269, loss_cls: 5.8260, loss_bbox: 2.0012, loss: 7.9463 +2022-09-01 23:16:30,840 - mmdet - INFO - Epoch [1][300/7390] lr: 1.197e-02, eta: 8:32:15, time: 0.322, data_time: 0.009, memory: 2860, loss_rpn_cls: 0.0831, loss_rpn_bbox: 0.0249, loss_cls: 5.7110, loss_bbox: 1.9916, loss: 7.8106 +2022-09-01 23:16:47,774 - mmdet - INFO - Epoch [1][350/7390] lr: 1.397e-02, eta: 8:30:05, time: 0.339, data_time: 0.009, memory: 2860, loss_rpn_cls: 0.0835, loss_rpn_bbox: 0.0270, loss_cls: 5.7285, loss_bbox: 1.9643, loss: 7.8033 +2022-09-01 23:17:04,493 - mmdet - INFO - Epoch [1][400/7390] lr: 1.596e-02, eta: 8:27:36, time: 0.335, data_time: 0.009, memory: 2860, loss_rpn_cls: 0.0794, loss_rpn_bbox: 0.0266, loss_cls: 5.6832, loss_bbox: 1.9603, loss: 7.7495 +2022-09-01 23:17:21,027 - mmdet - INFO - Epoch [1][450/7390] lr: 1.796e-02, eta: 8:24:53, time: 0.330, data_time: 0.009, memory: 3158, loss_rpn_cls: 0.0746, loss_rpn_bbox: 0.0261, loss_cls: 5.6511, loss_bbox: 1.9418, loss: 7.6936 +2022-09-01 23:17:37,514 - mmdet - INFO - Epoch [1][500/7390] lr: 1.996e-02, eta: 8:22:37, time: 0.330, data_time: 0.009, memory: 3158, loss_rpn_cls: 0.0720, loss_rpn_bbox: 0.0253, loss_cls: 5.5604, loss_bbox: 1.9214, loss: 7.5791 +2022-09-01 23:17:54,208 - mmdet - INFO - Epoch [1][550/7390] lr: 2.000e-02, eta: 8:21:18, time: 0.334, data_time: 0.009, memory: 3158, loss_rpn_cls: 0.0706, loss_rpn_bbox: 0.0260, loss_cls: 5.5512, loss_bbox: 1.8964, loss: 7.5442 +2022-09-01 23:18:10,461 - mmdet - INFO - Epoch [1][600/7390] lr: 2.000e-02, eta: 8:18:58, time: 0.325, data_time: 0.008, memory: 3158, loss_rpn_cls: 0.0688, loss_rpn_bbox: 0.0252, loss_cls: 5.4753, loss_bbox: 1.8805, loss: 7.4499 +2022-09-01 23:18:27,615 - mmdet - INFO - Epoch [1][650/7390] lr: 2.000e-02, eta: 8:19:05, time: 0.343, data_time: 0.009, memory: 3158, loss_rpn_cls: 0.0675, loss_rpn_bbox: 0.0258, loss_cls: 5.4195, loss_bbox: 1.8660, loss: 7.3788 +2022-09-01 23:18:44,458 - mmdet - INFO - Epoch [1][700/7390] lr: 2.000e-02, eta: 8:18:28, time: 0.337, data_time: 0.009, memory: 3158, loss_rpn_cls: 0.0649, loss_rpn_bbox: 0.0261, loss_cls: 5.3680, loss_bbox: 1.8631, loss: 7.3221 +2022-09-01 23:19:01,181 - mmdet - INFO - Epoch [1][750/7390] lr: 2.000e-02, eta: 8:17:37, time: 0.334, data_time: 0.009, memory: 3158, loss_rpn_cls: 0.0640, loss_rpn_bbox: 0.0253, loss_cls: 5.2784, loss_bbox: 1.8473, loss: 7.2150 +2022-09-01 23:19:17,642 - mmdet - INFO - Epoch [1][800/7390] lr: 2.000e-02, eta: 8:16:26, time: 0.330, data_time: 0.009, memory: 3158, loss_rpn_cls: 0.0626, loss_rpn_bbox: 0.0250, loss_cls: 5.1796, loss_bbox: 1.8438, loss: 7.1110 +2022-09-01 23:19:34,600 - mmdet - INFO - Epoch [1][850/7390] lr: 2.000e-02, eta: 8:16:09, time: 0.339, data_time: 0.008, memory: 3158, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0255, loss_cls: 5.1155, loss_bbox: 1.8292, loss: 7.0327 +2022-09-01 23:19:51,393 - mmdet - INFO - Epoch [1][900/7390] lr: 2.000e-02, eta: 8:15:35, time: 0.336, data_time: 0.008, memory: 3773, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0253, loss_cls: 5.0035, loss_bbox: 1.8257, loss: 6.9162 +2022-09-01 23:20:07,228 - mmdet - INFO - Epoch [1][950/7390] lr: 2.000e-02, eta: 8:13:37, time: 0.317, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0240, loss_cls: 4.8640, loss_bbox: 1.8216, loss: 6.7692 +2022-09-01 23:20:24,043 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:20:24,043 - mmdet - INFO - Epoch [1][1000/7390] lr: 2.000e-02, eta: 8:13:14, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0612, loss_rpn_bbox: 0.0248, loss_cls: 4.8046, loss_bbox: 1.8100, loss: 6.7006 +2022-09-01 23:20:40,516 - mmdet - INFO - Epoch [1][1050/7390] lr: 2.000e-02, eta: 8:12:22, time: 0.329, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0246, loss_cls: 4.6860, loss_bbox: 1.8048, loss: 6.5751 +2022-09-01 23:20:57,313 - mmdet - INFO - Epoch [1][1100/7390] lr: 2.000e-02, eta: 8:12:02, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0605, loss_rpn_bbox: 0.0247, loss_cls: 4.6124, loss_bbox: 1.7997, loss: 6.4973 +2022-09-01 23:21:13,648 - mmdet - INFO - Epoch [1][1150/7390] lr: 2.000e-02, eta: 8:11:07, time: 0.327, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0250, loss_cls: 4.5182, loss_bbox: 1.7886, loss: 6.3913 +2022-09-01 23:21:30,283 - mmdet - INFO - Epoch [1][1200/7390] lr: 2.000e-02, eta: 8:10:35, time: 0.333, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0597, loss_rpn_bbox: 0.0248, loss_cls: 4.4384, loss_bbox: 1.7876, loss: 6.3104 +2022-09-01 23:21:46,720 - mmdet - INFO - Epoch [1][1250/7390] lr: 2.000e-02, eta: 8:09:52, time: 0.329, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0244, loss_cls: 4.3804, loss_bbox: 1.7836, loss: 6.2473 +2022-09-01 23:22:03,447 - mmdet - INFO - Epoch [1][1300/7390] lr: 2.000e-02, eta: 8:09:29, time: 0.334, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0251, loss_cls: 4.3066, loss_bbox: 1.7843, loss: 6.1743 +2022-09-01 23:22:19,698 - mmdet - INFO - Epoch [1][1350/7390] lr: 2.000e-02, eta: 8:08:37, time: 0.325, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0242, loss_cls: 4.2074, loss_bbox: 1.7700, loss: 6.0585 +2022-09-01 23:22:36,198 - mmdet - INFO - Epoch [1][1400/7390] lr: 2.000e-02, eta: 8:08:01, time: 0.330, data_time: 0.008, memory: 3773, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0243, loss_cls: 4.1450, loss_bbox: 1.7632, loss: 5.9891 +2022-09-01 23:22:52,883 - mmdet - INFO - Epoch [1][1450/7390] lr: 2.000e-02, eta: 8:07:39, time: 0.334, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0243, loss_cls: 4.0756, loss_bbox: 1.7746, loss: 5.9309 +2022-09-01 23:23:09,988 - mmdet - INFO - Epoch [1][1500/7390] lr: 2.000e-02, eta: 8:07:41, time: 0.342, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0251, loss_cls: 4.0145, loss_bbox: 1.7614, loss: 5.8597 +2022-09-01 23:23:26,705 - mmdet - INFO - Epoch [1][1550/7390] lr: 2.000e-02, eta: 8:07:20, time: 0.334, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0579, loss_rpn_bbox: 0.0250, loss_cls: 3.9593, loss_bbox: 1.7579, loss: 5.8001 +2022-09-01 23:23:43,719 - mmdet - INFO - Epoch [1][1600/7390] lr: 2.000e-02, eta: 8:07:18, time: 0.341, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0244, loss_cls: 3.9279, loss_bbox: 1.7629, loss: 5.7724 +2022-09-01 23:24:00,508 - mmdet - INFO - Epoch [1][1650/7390] lr: 2.000e-02, eta: 8:07:01, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0246, loss_cls: 3.8744, loss_bbox: 1.7563, loss: 5.7123 +2022-09-01 23:24:17,112 - mmdet - INFO - Epoch [1][1700/7390] lr: 2.000e-02, eta: 8:06:34, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0241, loss_cls: 3.8230, loss_bbox: 1.7657, loss: 5.6692 +2022-09-01 23:24:34,245 - mmdet - INFO - Epoch [1][1750/7390] lr: 2.000e-02, eta: 8:06:34, time: 0.343, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0243, loss_cls: 3.8018, loss_bbox: 1.7479, loss: 5.6297 +2022-09-01 23:24:50,710 - mmdet - INFO - Epoch [1][1800/7390] lr: 2.000e-02, eta: 8:06:03, time: 0.330, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0235, loss_cls: 3.7609, loss_bbox: 1.7465, loss: 5.5856 +2022-09-01 23:25:07,304 - mmdet - INFO - Epoch [1][1850/7390] lr: 2.000e-02, eta: 8:05:36, time: 0.332, data_time: 0.008, memory: 3773, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0241, loss_cls: 3.7525, loss_bbox: 1.7509, loss: 5.5828 +2022-09-01 23:25:24,128 - mmdet - INFO - Epoch [1][1900/7390] lr: 2.000e-02, eta: 8:05:21, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0244, loss_cls: 3.7414, loss_bbox: 1.7552, loss: 5.5773 +2022-09-01 23:25:40,383 - mmdet - INFO - Epoch [1][1950/7390] lr: 2.000e-02, eta: 8:04:41, time: 0.325, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0547, loss_rpn_bbox: 0.0237, loss_cls: 3.6820, loss_bbox: 1.7468, loss: 5.5072 +2022-09-01 23:25:57,636 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:25:57,637 - mmdet - INFO - Epoch [1][2000/7390] lr: 2.000e-02, eta: 8:04:47, time: 0.345, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0558, loss_rpn_bbox: 0.0242, loss_cls: 3.6886, loss_bbox: 1.7436, loss: 5.5122 +2022-09-01 23:26:14,608 - mmdet - INFO - Epoch [1][2050/7390] lr: 2.000e-02, eta: 8:04:37, time: 0.339, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0566, loss_rpn_bbox: 0.0250, loss_cls: 3.6763, loss_bbox: 1.7385, loss: 5.4964 +2022-09-01 23:26:31,594 - mmdet - INFO - Epoch [1][2100/7390] lr: 2.000e-02, eta: 8:04:29, time: 0.340, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0245, loss_cls: 3.6503, loss_bbox: 1.7405, loss: 5.4706 +2022-09-01 23:26:48,518 - mmdet - INFO - Epoch [1][2150/7390] lr: 2.000e-02, eta: 8:04:18, time: 0.339, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0243, loss_cls: 3.5874, loss_bbox: 1.7385, loss: 5.4059 +2022-09-01 23:27:05,300 - mmdet - INFO - Epoch [1][2200/7390] lr: 2.000e-02, eta: 8:04:01, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0242, loss_cls: 3.5960, loss_bbox: 1.7333, loss: 5.4075 +2022-09-01 23:27:22,177 - mmdet - INFO - Epoch [1][2250/7390] lr: 2.000e-02, eta: 8:03:47, time: 0.337, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0239, loss_cls: 3.5579, loss_bbox: 1.7362, loss: 5.3714 +2022-09-01 23:27:38,635 - mmdet - INFO - Epoch [1][2300/7390] lr: 2.000e-02, eta: 8:03:16, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0239, loss_cls: 3.5614, loss_bbox: 1.7400, loss: 5.3797 +2022-09-01 23:27:55,178 - mmdet - INFO - Epoch [1][2350/7390] lr: 2.000e-02, eta: 8:02:52, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0557, loss_rpn_bbox: 0.0248, loss_cls: 3.5645, loss_bbox: 1.7295, loss: 5.3744 +2022-09-01 23:28:12,024 - mmdet - INFO - Epoch [1][2400/7390] lr: 2.000e-02, eta: 8:02:37, time: 0.337, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0245, loss_cls: 3.5482, loss_bbox: 1.7410, loss: 5.3693 +2022-09-01 23:28:28,411 - mmdet - INFO - Epoch [1][2450/7390] lr: 2.000e-02, eta: 8:02:07, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0245, loss_cls: 3.5280, loss_bbox: 1.7218, loss: 5.3284 +2022-09-01 23:28:44,994 - mmdet - INFO - Epoch [1][2500/7390] lr: 2.000e-02, eta: 8:01:44, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0235, loss_cls: 3.5089, loss_bbox: 1.7294, loss: 5.3153 +2022-09-01 23:29:01,897 - mmdet - INFO - Epoch [1][2550/7390] lr: 2.000e-02, eta: 8:01:31, time: 0.337, data_time: 0.008, memory: 3773, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0239, loss_cls: 3.5003, loss_bbox: 1.7303, loss: 5.3085 +2022-09-01 23:29:18,508 - mmdet - INFO - Epoch [1][2600/7390] lr: 2.000e-02, eta: 8:01:09, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0542, loss_rpn_bbox: 0.0241, loss_cls: 3.4784, loss_bbox: 1.7259, loss: 5.2826 +2022-09-01 23:29:35,755 - mmdet - INFO - Epoch [1][2650/7390] lr: 2.000e-02, eta: 8:01:07, time: 0.345, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0544, loss_rpn_bbox: 0.0242, loss_cls: 3.4868, loss_bbox: 1.7233, loss: 5.2886 +2022-09-01 23:29:52,370 - mmdet - INFO - Epoch [1][2700/7390] lr: 2.000e-02, eta: 8:00:46, time: 0.333, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0245, loss_cls: 3.4898, loss_bbox: 1.7129, loss: 5.2821 +2022-09-01 23:30:08,786 - mmdet - INFO - Epoch [1][2750/7390] lr: 2.000e-02, eta: 8:00:17, time: 0.327, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0236, loss_cls: 3.4441, loss_bbox: 1.7153, loss: 5.2362 +2022-09-01 23:30:25,572 - mmdet - INFO - Epoch [1][2800/7390] lr: 2.000e-02, eta: 8:00:01, time: 0.336, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0242, loss_cls: 3.4283, loss_bbox: 1.7139, loss: 5.2201 +2022-09-01 23:30:41,927 - mmdet - INFO - Epoch [1][2850/7390] lr: 2.000e-02, eta: 7:59:33, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0541, loss_rpn_bbox: 0.0237, loss_cls: 3.4397, loss_bbox: 1.7231, loss: 5.2405 +2022-09-01 23:30:58,520 - mmdet - INFO - Epoch [1][2900/7390] lr: 2.000e-02, eta: 7:59:11, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0529, loss_rpn_bbox: 0.0235, loss_cls: 3.4202, loss_bbox: 1.7277, loss: 5.2243 +2022-09-01 23:31:15,004 - mmdet - INFO - Epoch [1][2950/7390] lr: 2.000e-02, eta: 7:58:46, time: 0.330, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0237, loss_cls: 3.4195, loss_bbox: 1.7044, loss: 5.2001 +2022-09-01 23:31:32,125 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:31:32,126 - mmdet - INFO - Epoch [1][3000/7390] lr: 2.000e-02, eta: 7:58:39, time: 0.342, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0236, loss_cls: 3.4121, loss_bbox: 1.7166, loss: 5.2050 +2022-09-01 23:31:48,394 - mmdet - INFO - Epoch [1][3050/7390] lr: 2.000e-02, eta: 7:58:09, time: 0.326, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0234, loss_cls: 3.3940, loss_bbox: 1.7050, loss: 5.1751 +2022-09-01 23:32:05,209 - mmdet - INFO - Epoch [1][3100/7390] lr: 2.000e-02, eta: 7:57:52, time: 0.335, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0539, loss_rpn_bbox: 0.0242, loss_cls: 3.4030, loss_bbox: 1.7016, loss: 5.1826 +2022-09-01 23:32:21,932 - mmdet - INFO - Epoch [1][3150/7390] lr: 2.000e-02, eta: 7:57:36, time: 0.335, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0234, loss_cls: 3.3785, loss_bbox: 1.7171, loss: 5.1712 +2022-09-01 23:32:38,570 - mmdet - INFO - Epoch [1][3200/7390] lr: 2.000e-02, eta: 7:57:16, time: 0.333, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0240, loss_cls: 3.4028, loss_bbox: 1.7171, loss: 5.1966 +2022-09-01 23:32:54,674 - mmdet - INFO - Epoch [1][3250/7390] lr: 2.000e-02, eta: 7:56:42, time: 0.322, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0234, loss_cls: 3.3806, loss_bbox: 1.7038, loss: 5.1609 +2022-09-01 23:33:10,948 - mmdet - INFO - Epoch [1][3300/7390] lr: 2.000e-02, eta: 7:56:14, time: 0.326, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0228, loss_cls: 3.3505, loss_bbox: 1.7192, loss: 5.1437 +2022-09-01 23:33:27,647 - mmdet - INFO - Epoch [1][3350/7390] lr: 2.000e-02, eta: 7:55:57, time: 0.334, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0232, loss_cls: 3.3568, loss_bbox: 1.7054, loss: 5.1373 +2022-09-01 23:33:44,141 - mmdet - INFO - Epoch [1][3400/7390] lr: 2.000e-02, eta: 7:55:34, time: 0.330, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0238, loss_cls: 3.3684, loss_bbox: 1.7011, loss: 5.1461 +2022-09-01 23:34:00,936 - mmdet - INFO - Epoch [1][3450/7390] lr: 2.000e-02, eta: 7:55:19, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0244, loss_cls: 3.3517, loss_bbox: 1.6930, loss: 5.1231 +2022-09-01 23:34:17,362 - mmdet - INFO - Epoch [1][3500/7390] lr: 2.000e-02, eta: 7:54:54, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0229, loss_cls: 3.3395, loss_bbox: 1.7087, loss: 5.1235 +2022-09-01 23:34:33,924 - mmdet - INFO - Epoch [1][3550/7390] lr: 2.000e-02, eta: 7:54:34, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0546, loss_rpn_bbox: 0.0239, loss_cls: 3.3230, loss_bbox: 1.7051, loss: 5.1067 +2022-09-01 23:34:50,565 - mmdet - INFO - Epoch [1][3600/7390] lr: 2.000e-02, eta: 7:54:15, time: 0.333, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0237, loss_cls: 3.3495, loss_bbox: 1.7002, loss: 5.1261 +2022-09-01 23:35:07,418 - mmdet - INFO - Epoch [1][3650/7390] lr: 2.000e-02, eta: 7:54:02, time: 0.338, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0549, loss_rpn_bbox: 0.0244, loss_cls: 3.3652, loss_bbox: 1.6919, loss: 5.1364 +2022-09-01 23:35:24,100 - mmdet - INFO - Epoch [1][3700/7390] lr: 2.000e-02, eta: 7:53:43, time: 0.333, data_time: 0.008, memory: 3773, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0238, loss_cls: 3.3220, loss_bbox: 1.6897, loss: 5.0877 +2022-09-01 23:35:40,685 - mmdet - INFO - Epoch [1][3750/7390] lr: 2.000e-02, eta: 7:53:24, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0241, loss_cls: 3.3453, loss_bbox: 1.6901, loss: 5.1123 +2022-09-01 23:35:57,455 - mmdet - INFO - Epoch [1][3800/7390] lr: 2.000e-02, eta: 7:53:08, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0232, loss_cls: 3.3257, loss_bbox: 1.6954, loss: 5.0960 +2022-09-01 23:36:13,834 - mmdet - INFO - Epoch [1][3850/7390] lr: 2.000e-02, eta: 7:52:44, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0233, loss_cls: 3.3038, loss_bbox: 1.6916, loss: 5.0700 +2022-09-01 23:36:30,823 - mmdet - INFO - Epoch [1][3900/7390] lr: 2.000e-02, eta: 7:52:33, time: 0.340, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0237, loss_cls: 3.3165, loss_bbox: 1.6935, loss: 5.0845 +2022-09-01 23:36:47,969 - mmdet - INFO - Epoch [1][3950/7390] lr: 2.000e-02, eta: 7:52:25, time: 0.343, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0534, loss_rpn_bbox: 0.0240, loss_cls: 3.3121, loss_bbox: 1.6960, loss: 5.0855 +2022-09-01 23:37:04,398 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:37:04,399 - mmdet - INFO - Epoch [1][4000/7390] lr: 2.000e-02, eta: 7:52:02, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0232, loss_cls: 3.2763, loss_bbox: 1.6859, loss: 5.0363 +2022-09-01 23:37:21,136 - mmdet - INFO - Epoch [1][4050/7390] lr: 2.000e-02, eta: 7:51:46, time: 0.335, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0234, loss_cls: 3.3015, loss_bbox: 1.6935, loss: 5.0700 +2022-09-01 23:37:37,866 - mmdet - INFO - Epoch [1][4100/7390] lr: 2.000e-02, eta: 7:51:29, time: 0.335, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0236, loss_cls: 3.2971, loss_bbox: 1.6768, loss: 5.0499 +2022-09-01 23:37:54,478 - mmdet - INFO - Epoch [1][4150/7390] lr: 2.000e-02, eta: 7:51:10, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0235, loss_cls: 3.2918, loss_bbox: 1.6847, loss: 5.0511 +2022-09-01 23:38:11,460 - mmdet - INFO - Epoch [1][4200/7390] lr: 2.000e-02, eta: 7:50:58, time: 0.340, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0530, loss_rpn_bbox: 0.0242, loss_cls: 3.2985, loss_bbox: 1.6818, loss: 5.0575 +2022-09-01 23:38:28,366 - mmdet - INFO - Epoch [1][4250/7390] lr: 2.000e-02, eta: 7:50:46, time: 0.339, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0239, loss_cls: 3.2796, loss_bbox: 1.6867, loss: 5.0424 +2022-09-01 23:38:45,145 - mmdet - INFO - Epoch [1][4300/7390] lr: 2.000e-02, eta: 7:50:30, time: 0.335, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0235, loss_cls: 3.2893, loss_bbox: 1.6850, loss: 5.0489 +2022-09-01 23:39:01,304 - mmdet - INFO - Epoch [1][4350/7390] lr: 2.000e-02, eta: 7:50:02, time: 0.323, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0219, loss_cls: 3.2723, loss_bbox: 1.6960, loss: 5.0385 +2022-09-01 23:39:18,422 - mmdet - INFO - Epoch [1][4400/7390] lr: 2.000e-02, eta: 7:49:53, time: 0.343, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0239, loss_cls: 3.2711, loss_bbox: 1.6776, loss: 5.0252 +2022-09-01 23:39:35,013 - mmdet - INFO - Epoch [1][4450/7390] lr: 2.000e-02, eta: 7:49:33, time: 0.331, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 3.2741, loss_bbox: 1.6885, loss: 5.0375 +2022-09-01 23:39:56,882 - mmdet - INFO - Epoch [1][4500/7390] lr: 2.000e-02, eta: 7:50:53, time: 0.438, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0235, loss_cls: 3.2658, loss_bbox: 1.6853, loss: 5.0266 +2022-09-01 23:40:18,791 - mmdet - INFO - Epoch [1][4550/7390] lr: 2.000e-02, eta: 7:52:11, time: 0.438, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0235, loss_cls: 3.2701, loss_bbox: 1.6831, loss: 5.0281 +2022-09-01 23:40:40,558 - mmdet - INFO - Epoch [1][4600/7390] lr: 2.000e-02, eta: 7:53:24, time: 0.435, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0229, loss_cls: 3.2438, loss_bbox: 1.6835, loss: 5.0005 +2022-09-01 23:40:59,152 - mmdet - INFO - Epoch [1][4650/7390] lr: 2.000e-02, eta: 7:53:39, time: 0.373, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0227, loss_cls: 3.2476, loss_bbox: 1.6808, loss: 5.0021 +2022-09-01 23:41:18,434 - mmdet - INFO - Epoch [1][4700/7390] lr: 2.000e-02, eta: 7:54:03, time: 0.385, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0234, loss_cls: 3.2406, loss_bbox: 1.6816, loss: 4.9972 +2022-09-01 23:41:35,740 - mmdet - INFO - Epoch [1][4750/7390] lr: 2.000e-02, eta: 7:53:53, time: 0.346, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0241, loss_cls: 3.2762, loss_bbox: 1.6753, loss: 5.0274 +2022-09-01 23:41:52,496 - mmdet - INFO - Epoch [1][4800/7390] lr: 2.000e-02, eta: 7:53:33, time: 0.336, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0234, loss_cls: 3.2310, loss_bbox: 1.6832, loss: 4.9891 +2022-09-01 23:42:09,133 - mmdet - INFO - Epoch [1][4850/7390] lr: 2.000e-02, eta: 7:53:11, time: 0.332, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0237, loss_cls: 3.2408, loss_bbox: 1.6765, loss: 4.9926 +2022-09-01 23:42:25,898 - mmdet - INFO - Epoch [1][4900/7390] lr: 2.000e-02, eta: 7:52:51, time: 0.335, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0521, loss_rpn_bbox: 0.0234, loss_cls: 3.2279, loss_bbox: 1.6711, loss: 4.9746 +2022-09-01 23:42:42,726 - mmdet - INFO - Epoch [1][4950/7390] lr: 2.000e-02, eta: 7:52:33, time: 0.337, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0522, loss_rpn_bbox: 0.0236, loss_cls: 3.2296, loss_bbox: 1.6765, loss: 4.9818 +2022-09-01 23:42:59,752 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:42:59,752 - mmdet - INFO - Epoch [1][5000/7390] lr: 2.000e-02, eta: 7:52:17, time: 0.340, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0237, loss_cls: 3.2372, loss_bbox: 1.6802, loss: 4.9937 +2022-09-01 23:43:16,705 - mmdet - INFO - Epoch [1][5050/7390] lr: 2.000e-02, eta: 7:52:00, time: 0.339, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0237, loss_cls: 3.2162, loss_bbox: 1.6765, loss: 4.9682 +2022-09-01 23:43:33,184 - mmdet - INFO - Epoch [1][5100/7390] lr: 2.000e-02, eta: 7:51:36, time: 0.329, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0233, loss_cls: 3.2102, loss_bbox: 1.6755, loss: 4.9588 +2022-09-01 23:43:49,420 - mmdet - INFO - Epoch [1][5150/7390] lr: 2.000e-02, eta: 7:51:08, time: 0.326, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0224, loss_cls: 3.1976, loss_bbox: 1.6835, loss: 4.9529 +2022-09-01 23:44:06,116 - mmdet - INFO - Epoch [1][5200/7390] lr: 2.000e-02, eta: 7:50:47, time: 0.333, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0234, loss_cls: 3.2189, loss_bbox: 1.6703, loss: 4.9631 +2022-09-01 23:44:23,223 - mmdet - INFO - Epoch [1][5250/7390] lr: 2.000e-02, eta: 7:50:33, time: 0.342, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0235, loss_cls: 3.2363, loss_bbox: 1.6826, loss: 4.9931 +2022-09-01 23:44:40,354 - mmdet - INFO - Epoch [1][5300/7390] lr: 2.000e-02, eta: 7:50:20, time: 0.344, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0231, loss_cls: 3.2032, loss_bbox: 1.6736, loss: 4.9503 +2022-09-01 23:44:56,853 - mmdet - INFO - Epoch [1][5350/7390] lr: 2.000e-02, eta: 7:49:57, time: 0.330, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0229, loss_cls: 3.2172, loss_bbox: 1.6689, loss: 4.9593 +2022-09-01 23:45:13,255 - mmdet - INFO - Epoch [1][5400/7390] lr: 2.000e-02, eta: 7:49:32, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0221, loss_cls: 3.2018, loss_bbox: 1.6786, loss: 4.9514 +2022-09-01 23:45:30,334 - mmdet - INFO - Epoch [1][5450/7390] lr: 2.000e-02, eta: 7:49:17, time: 0.341, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0234, loss_cls: 3.2057, loss_bbox: 1.6707, loss: 4.9513 +2022-09-01 23:45:47,166 - mmdet - INFO - Epoch [1][5500/7390] lr: 2.000e-02, eta: 7:48:59, time: 0.337, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0234, loss_cls: 3.2231, loss_bbox: 1.6720, loss: 4.9691 +2022-09-01 23:46:03,924 - mmdet - INFO - Epoch [1][5550/7390] lr: 2.000e-02, eta: 7:48:40, time: 0.335, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0231, loss_cls: 3.2059, loss_bbox: 1.6613, loss: 4.9398 +2022-09-01 23:46:20,288 - mmdet - INFO - Epoch [1][5600/7390] lr: 2.000e-02, eta: 7:48:15, time: 0.328, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0233, loss_cls: 3.1810, loss_bbox: 1.6711, loss: 4.9267 +2022-09-01 23:46:36,800 - mmdet - INFO - Epoch [1][5650/7390] lr: 2.000e-02, eta: 7:47:52, time: 0.330, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0229, loss_cls: 3.2178, loss_bbox: 1.6673, loss: 4.9574 +2022-09-01 23:46:53,559 - mmdet - INFO - Epoch [1][5700/7390] lr: 2.000e-02, eta: 7:47:33, time: 0.335, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 3.1919, loss_bbox: 1.6658, loss: 4.9304 +2022-09-01 23:47:09,807 - mmdet - INFO - Epoch [1][5750/7390] lr: 2.000e-02, eta: 7:47:07, time: 0.325, data_time: 0.009, memory: 3773, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0227, loss_cls: 3.1967, loss_bbox: 1.6807, loss: 4.9509 +2022-09-01 23:47:26,829 - mmdet - INFO - Epoch [1][5800/7390] lr: 2.000e-02, eta: 7:46:52, time: 0.341, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0235, loss_cls: 3.1763, loss_bbox: 1.6671, loss: 4.9180 +2022-09-01 23:47:43,532 - mmdet - INFO - Epoch [1][5850/7390] lr: 2.000e-02, eta: 7:46:32, time: 0.334, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0232, loss_cls: 3.1742, loss_bbox: 1.6673, loss: 4.9149 +2022-09-01 23:47:59,956 - mmdet - INFO - Epoch [1][5900/7390] lr: 2.000e-02, eta: 7:46:08, time: 0.329, data_time: 0.010, memory: 3773, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0230, loss_cls: 3.1895, loss_bbox: 1.6774, loss: 4.9406 +2022-09-01 23:48:17,095 - mmdet - INFO - Epoch [1][5950/7390] lr: 2.000e-02, eta: 7:45:55, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0234, loss_cls: 3.1864, loss_bbox: 1.6758, loss: 4.9353 +2022-09-01 23:48:33,860 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:48:33,860 - mmdet - INFO - Epoch [1][6000/7390] lr: 2.000e-02, eta: 7:45:36, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0235, loss_cls: 3.2011, loss_bbox: 1.6711, loss: 4.9470 +2022-09-01 23:48:50,536 - mmdet - INFO - Epoch [1][6050/7390] lr: 2.000e-02, eta: 7:45:16, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0236, loss_cls: 3.1977, loss_bbox: 1.6562, loss: 4.9287 +2022-09-01 23:49:07,417 - mmdet - INFO - Epoch [1][6100/7390] lr: 2.000e-02, eta: 7:44:59, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0234, loss_cls: 3.1769, loss_bbox: 1.6574, loss: 4.9078 +2022-09-01 23:49:24,561 - mmdet - INFO - Epoch [1][6150/7390] lr: 2.000e-02, eta: 7:44:45, time: 0.342, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0242, loss_cls: 3.1823, loss_bbox: 1.6649, loss: 4.9237 +2022-09-01 23:49:41,053 - mmdet - INFO - Epoch [1][6200/7390] lr: 2.000e-02, eta: 7:44:23, time: 0.330, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0226, loss_cls: 3.1728, loss_bbox: 1.6622, loss: 4.9074 +2022-09-01 23:49:57,798 - mmdet - INFO - Epoch [1][6250/7390] lr: 2.000e-02, eta: 7:44:04, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0233, loss_cls: 3.1835, loss_bbox: 1.6613, loss: 4.9188 +2022-09-01 23:50:14,704 - mmdet - INFO - Epoch [1][6300/7390] lr: 2.000e-02, eta: 7:43:47, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0239, loss_cls: 3.2077, loss_bbox: 1.6587, loss: 4.9418 +2022-09-01 23:50:31,719 - mmdet - INFO - Epoch [1][6350/7390] lr: 2.000e-02, eta: 7:43:32, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0515, loss_rpn_bbox: 0.0237, loss_cls: 3.1675, loss_bbox: 1.6571, loss: 4.8998 +2022-09-01 23:50:47,809 - mmdet - INFO - Epoch [1][6400/7390] lr: 2.000e-02, eta: 7:43:05, time: 0.322, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0225, loss_cls: 3.1460, loss_bbox: 1.6710, loss: 4.8888 +2022-09-01 23:51:04,568 - mmdet - INFO - Epoch [1][6450/7390] lr: 2.000e-02, eta: 7:42:47, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0234, loss_cls: 3.1565, loss_bbox: 1.6608, loss: 4.8918 +2022-09-01 23:51:21,211 - mmdet - INFO - Epoch [1][6500/7390] lr: 2.000e-02, eta: 7:42:27, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0231, loss_cls: 3.1494, loss_bbox: 1.6604, loss: 4.8841 +2022-09-01 23:51:37,932 - mmdet - INFO - Epoch [1][6550/7390] lr: 2.000e-02, eta: 7:42:08, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0231, loss_cls: 3.1575, loss_bbox: 1.6637, loss: 4.8947 +2022-09-01 23:51:54,800 - mmdet - INFO - Epoch [1][6600/7390] lr: 2.000e-02, eta: 7:41:51, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0232, loss_cls: 3.1441, loss_bbox: 1.6535, loss: 4.8712 +2022-09-01 23:52:12,205 - mmdet - INFO - Epoch [1][6650/7390] lr: 2.000e-02, eta: 7:41:40, time: 0.348, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0242, loss_cls: 3.1736, loss_bbox: 1.6510, loss: 4.9005 +2022-09-01 23:52:29,107 - mmdet - INFO - Epoch [1][6700/7390] lr: 2.000e-02, eta: 7:41:24, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 3.1273, loss_bbox: 1.6587, loss: 4.8596 +2022-09-01 23:52:45,735 - mmdet - INFO - Epoch [1][6750/7390] lr: 2.000e-02, eta: 7:41:04, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0231, loss_cls: 3.1584, loss_bbox: 1.6713, loss: 4.9027 +2022-09-01 23:53:01,871 - mmdet - INFO - Epoch [1][6800/7390] lr: 2.000e-02, eta: 7:40:38, time: 0.323, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0223, loss_cls: 3.1588, loss_bbox: 1.6679, loss: 4.8990 +2022-09-01 23:53:18,463 - mmdet - INFO - Epoch [1][6850/7390] lr: 2.000e-02, eta: 7:40:18, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0235, loss_cls: 3.1755, loss_bbox: 1.6685, loss: 4.9182 +2022-09-01 23:53:34,817 - mmdet - INFO - Epoch [1][6900/7390] lr: 2.000e-02, eta: 7:39:55, time: 0.327, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0229, loss_cls: 3.1461, loss_bbox: 1.6569, loss: 4.8767 +2022-09-01 23:53:51,954 - mmdet - INFO - Epoch [1][6950/7390] lr: 2.000e-02, eta: 7:39:41, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0232, loss_cls: 3.1455, loss_bbox: 1.6561, loss: 4.8741 +2022-09-01 23:54:08,388 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-01 23:54:08,388 - mmdet - INFO - Epoch [1][7000/7390] lr: 2.000e-02, eta: 7:39:19, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0224, loss_cls: 3.1272, loss_bbox: 1.6542, loss: 4.8530 +2022-09-01 23:54:25,058 - mmdet - INFO - Epoch [1][7050/7390] lr: 2.000e-02, eta: 7:38:59, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0224, loss_cls: 3.1094, loss_bbox: 1.6678, loss: 4.8487 +2022-09-01 23:54:41,852 - mmdet - INFO - Epoch [1][7100/7390] lr: 2.000e-02, eta: 7:38:42, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0229, loss_cls: 3.1297, loss_bbox: 1.6586, loss: 4.8610 +2022-09-01 23:54:58,608 - mmdet - INFO - Epoch [1][7150/7390] lr: 2.000e-02, eta: 7:38:24, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0235, loss_cls: 3.1505, loss_bbox: 1.6558, loss: 4.8809 +2022-09-01 23:55:15,572 - mmdet - INFO - Epoch [1][7200/7390] lr: 2.000e-02, eta: 7:38:08, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0228, loss_cls: 3.1299, loss_bbox: 1.6524, loss: 4.8539 +2022-09-01 23:55:33,019 - mmdet - INFO - Epoch [1][7250/7390] lr: 2.000e-02, eta: 7:37:57, time: 0.348, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0229, loss_cls: 3.1489, loss_bbox: 1.6487, loss: 4.8694 +2022-09-01 23:55:49,403 - mmdet - INFO - Epoch [1][7300/7390] lr: 2.000e-02, eta: 7:37:35, time: 0.328, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0228, loss_cls: 3.1117, loss_bbox: 1.6515, loss: 4.8355 +2022-09-01 23:56:06,221 - mmdet - INFO - Epoch [1][7350/7390] lr: 2.000e-02, eta: 7:37:18, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0225, loss_cls: 3.1383, loss_bbox: 1.6548, loss: 4.8641 +2022-09-01 23:56:19,887 - mmdet - INFO - Saving checkpoint at 1 epochs +2022-09-01 23:56:41,423 - mmdet - INFO - Epoch [2][50/7390] lr: 2.000e-02, eta: 7:34:55, time: 0.401, data_time: 0.073, memory: 3974, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0229, loss_cls: 3.1183, loss_bbox: 1.6460, loss: 4.8378 +2022-09-01 23:56:58,015 - mmdet - INFO - Epoch [2][100/7390] lr: 2.000e-02, eta: 7:34:36, time: 0.332, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0233, loss_cls: 3.1334, loss_bbox: 1.6463, loss: 4.8534 +2022-09-01 23:57:15,304 - mmdet - INFO - Epoch [2][150/7390] lr: 2.000e-02, eta: 7:34:25, time: 0.346, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0242, loss_cls: 3.1376, loss_bbox: 1.6510, loss: 4.8642 +2022-09-01 23:57:31,708 - mmdet - INFO - Epoch [2][200/7390] lr: 2.000e-02, eta: 7:34:03, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0223, loss_cls: 3.1140, loss_bbox: 1.6573, loss: 4.8432 +2022-09-01 23:57:48,477 - mmdet - INFO - Epoch [2][250/7390] lr: 2.000e-02, eta: 7:33:46, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0228, loss_cls: 3.1267, loss_bbox: 1.6516, loss: 4.8519 +2022-09-01 23:58:05,451 - mmdet - INFO - Epoch [2][300/7390] lr: 2.000e-02, eta: 7:33:31, time: 0.340, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0230, loss_cls: 3.1026, loss_bbox: 1.6594, loss: 4.8352 +2022-09-01 23:58:22,208 - mmdet - INFO - Epoch [2][350/7390] lr: 2.000e-02, eta: 7:33:14, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0230, loss_cls: 3.1311, loss_bbox: 1.6533, loss: 4.8571 +2022-09-01 23:58:38,920 - mmdet - INFO - Epoch [2][400/7390] lr: 2.000e-02, eta: 7:32:56, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0226, loss_cls: 3.1024, loss_bbox: 1.6478, loss: 4.8225 +2022-09-01 23:58:55,753 - mmdet - INFO - Epoch [2][450/7390] lr: 2.000e-02, eta: 7:32:40, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0229, loss_cls: 3.1082, loss_bbox: 1.6420, loss: 4.8220 +2022-09-01 23:59:12,182 - mmdet - INFO - Epoch [2][500/7390] lr: 2.000e-02, eta: 7:32:20, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0234, loss_cls: 3.1303, loss_bbox: 1.6546, loss: 4.8585 +2022-09-01 23:59:29,107 - mmdet - INFO - Epoch [2][550/7390] lr: 2.000e-02, eta: 7:32:04, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0227, loss_cls: 3.1077, loss_bbox: 1.6495, loss: 4.8294 +2022-09-01 23:59:45,760 - mmdet - INFO - Epoch [2][600/7390] lr: 2.000e-02, eta: 7:31:46, time: 0.333, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0227, loss_cls: 3.0991, loss_bbox: 1.6456, loss: 4.8170 +2022-09-02 00:00:02,445 - mmdet - INFO - Epoch [2][650/7390] lr: 2.000e-02, eta: 7:31:28, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0231, loss_cls: 3.1228, loss_bbox: 1.6520, loss: 4.8482 +2022-09-02 00:00:19,071 - mmdet - INFO - Epoch [2][700/7390] lr: 2.000e-02, eta: 7:31:09, time: 0.333, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0225, loss_cls: 3.1080, loss_bbox: 1.6596, loss: 4.8389 +2022-09-02 00:00:36,073 - mmdet - INFO - Epoch [2][750/7390] lr: 2.000e-02, eta: 7:30:55, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0226, loss_cls: 3.1154, loss_bbox: 1.6438, loss: 4.8306 +2022-09-02 00:00:52,491 - mmdet - INFO - Epoch [2][800/7390] lr: 2.000e-02, eta: 7:30:34, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0227, loss_cls: 3.1006, loss_bbox: 1.6489, loss: 4.8213 +2022-09-02 00:01:08,839 - mmdet - INFO - Epoch [2][850/7390] lr: 2.000e-02, eta: 7:30:13, time: 0.327, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0224, loss_cls: 3.0860, loss_bbox: 1.6487, loss: 4.8059 +2022-09-02 00:01:25,772 - mmdet - INFO - Epoch [2][900/7390] lr: 2.000e-02, eta: 7:29:57, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0228, loss_cls: 3.1097, loss_bbox: 1.6468, loss: 4.8281 +2022-09-02 00:01:42,610 - mmdet - INFO - Epoch [2][950/7390] lr: 2.000e-02, eta: 7:29:41, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0228, loss_cls: 3.1007, loss_bbox: 1.6455, loss: 4.8182 +2022-09-02 00:02:00,215 - mmdet - INFO - Epoch [2][1000/7390] lr: 2.000e-02, eta: 7:29:32, time: 0.352, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0236, loss_cls: 3.1059, loss_bbox: 1.6545, loss: 4.8345 +2022-09-02 00:02:17,477 - mmdet - INFO - Epoch [2][1050/7390] lr: 2.000e-02, eta: 7:29:20, time: 0.345, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0228, loss_cls: 3.0964, loss_bbox: 1.6496, loss: 4.8180 +2022-09-02 00:02:34,823 - mmdet - INFO - Epoch [2][1100/7390] lr: 2.000e-02, eta: 7:29:08, time: 0.347, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0241, loss_cls: 3.1043, loss_bbox: 1.6436, loss: 4.8230 +2022-09-02 00:02:51,569 - mmdet - INFO - Epoch [2][1150/7390] lr: 2.000e-02, eta: 7:28:51, time: 0.335, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0228, loss_cls: 3.0835, loss_bbox: 1.6356, loss: 4.7914 +2022-09-02 00:03:08,037 - mmdet - INFO - Epoch [2][1200/7390] lr: 2.000e-02, eta: 7:28:31, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0228, loss_cls: 3.0867, loss_bbox: 1.6391, loss: 4.7982 +2022-09-02 00:03:24,684 - mmdet - INFO - Epoch [2][1250/7390] lr: 2.000e-02, eta: 7:28:13, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0237, loss_cls: 3.1061, loss_bbox: 1.6394, loss: 4.8209 +2022-09-02 00:03:41,507 - mmdet - INFO - Epoch [2][1300/7390] lr: 2.000e-02, eta: 7:27:56, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0234, loss_cls: 3.1060, loss_bbox: 1.6470, loss: 4.8266 +2022-09-02 00:03:58,486 - mmdet - INFO - Epoch [2][1350/7390] lr: 2.000e-02, eta: 7:27:41, time: 0.340, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0229, loss_cls: 3.1045, loss_bbox: 1.6458, loss: 4.8224 +2022-09-02 00:04:14,744 - mmdet - INFO - Epoch [2][1400/7390] lr: 2.000e-02, eta: 7:27:19, time: 0.326, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0229, loss_cls: 3.0837, loss_bbox: 1.6360, loss: 4.7920 +2022-09-02 00:04:31,268 - mmdet - INFO - Epoch [2][1450/7390] lr: 2.000e-02, eta: 7:27:00, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0226, loss_cls: 3.0902, loss_bbox: 1.6577, loss: 4.8197 +2022-09-02 00:04:47,944 - mmdet - INFO - Epoch [2][1500/7390] lr: 2.000e-02, eta: 7:26:42, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0227, loss_cls: 3.0831, loss_bbox: 1.6379, loss: 4.7923 +2022-09-02 00:05:04,858 - mmdet - INFO - Epoch [2][1550/7390] lr: 2.000e-02, eta: 7:26:26, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0234, loss_cls: 3.0984, loss_bbox: 1.6333, loss: 4.8052 +2022-09-02 00:05:21,978 - mmdet - INFO - Epoch [2][1600/7390] lr: 2.000e-02, eta: 7:26:12, time: 0.342, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0512, loss_rpn_bbox: 0.0236, loss_cls: 3.1122, loss_bbox: 1.6426, loss: 4.8295 +2022-09-02 00:05:38,834 - mmdet - INFO - Epoch [2][1650/7390] lr: 2.000e-02, eta: 7:25:56, time: 0.337, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0226, loss_cls: 3.0638, loss_bbox: 1.6380, loss: 4.7736 +2022-09-02 00:05:55,721 - mmdet - INFO - Epoch [2][1700/7390] lr: 2.000e-02, eta: 7:25:40, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0228, loss_cls: 3.0850, loss_bbox: 1.6442, loss: 4.8011 +2022-09-02 00:06:12,364 - mmdet - INFO - Epoch [2][1750/7390] lr: 2.000e-02, eta: 7:25:22, time: 0.334, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0229, loss_cls: 3.0724, loss_bbox: 1.6395, loss: 4.7847 +2022-09-02 00:06:28,926 - mmdet - INFO - Epoch [2][1800/7390] lr: 2.000e-02, eta: 7:25:03, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0229, loss_cls: 3.0652, loss_bbox: 1.6424, loss: 4.7804 +2022-09-02 00:06:45,352 - mmdet - INFO - Epoch [2][1850/7390] lr: 2.000e-02, eta: 7:24:43, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0226, loss_cls: 3.0622, loss_bbox: 1.6367, loss: 4.7700 +2022-09-02 00:07:02,216 - mmdet - INFO - Epoch [2][1900/7390] lr: 2.000e-02, eta: 7:24:26, time: 0.337, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0230, loss_cls: 3.0848, loss_bbox: 1.6420, loss: 4.8000 +2022-09-02 00:07:18,626 - mmdet - INFO - Epoch [2][1950/7390] lr: 2.000e-02, eta: 7:24:07, time: 0.329, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0227, loss_cls: 3.0650, loss_bbox: 1.6336, loss: 4.7700 +2022-09-02 00:07:35,722 - mmdet - INFO - Epoch [2][2000/7390] lr: 2.000e-02, eta: 7:23:52, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0231, loss_cls: 3.0908, loss_bbox: 1.6392, loss: 4.8031 +2022-09-02 00:07:52,358 - mmdet - INFO - Epoch [2][2050/7390] lr: 2.000e-02, eta: 7:23:34, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0226, loss_cls: 3.0810, loss_bbox: 1.6507, loss: 4.8035 +2022-09-02 00:08:08,804 - mmdet - INFO - Epoch [2][2100/7390] lr: 2.000e-02, eta: 7:23:15, time: 0.330, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0230, loss_cls: 3.0913, loss_bbox: 1.6414, loss: 4.8051 +2022-09-02 00:08:25,589 - mmdet - INFO - Epoch [2][2150/7390] lr: 2.000e-02, eta: 7:22:58, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0225, loss_cls: 3.0678, loss_bbox: 1.6392, loss: 4.7784 +2022-09-02 00:08:42,275 - mmdet - INFO - Epoch [2][2200/7390] lr: 2.000e-02, eta: 7:22:40, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0229, loss_cls: 3.0906, loss_bbox: 1.6384, loss: 4.8010 +2022-09-02 00:08:59,182 - mmdet - INFO - Epoch [2][2250/7390] lr: 2.000e-02, eta: 7:22:24, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0229, loss_cls: 3.0832, loss_bbox: 1.6398, loss: 4.7956 +2022-09-02 00:09:16,041 - mmdet - INFO - Epoch [2][2300/7390] lr: 2.000e-02, eta: 7:22:08, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0235, loss_cls: 3.0985, loss_bbox: 1.6406, loss: 4.8129 +2022-09-02 00:09:32,346 - mmdet - INFO - Epoch [2][2350/7390] lr: 2.000e-02, eta: 7:21:47, time: 0.326, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0224, loss_cls: 3.0800, loss_bbox: 1.6421, loss: 4.7935 +2022-09-02 00:09:49,049 - mmdet - INFO - Epoch [2][2400/7390] lr: 2.000e-02, eta: 7:21:30, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0227, loss_cls: 3.0739, loss_bbox: 1.6358, loss: 4.7817 +2022-09-02 00:10:06,172 - mmdet - INFO - Epoch [2][2450/7390] lr: 2.000e-02, eta: 7:21:16, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0234, loss_cls: 3.0910, loss_bbox: 1.6455, loss: 4.8097 +2022-09-02 00:10:22,886 - mmdet - INFO - Epoch [2][2500/7390] lr: 2.000e-02, eta: 7:20:58, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0225, loss_cls: 3.0650, loss_bbox: 1.6297, loss: 4.7662 +2022-09-02 00:10:39,575 - mmdet - INFO - Epoch [2][2550/7390] lr: 2.000e-02, eta: 7:20:40, time: 0.334, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0228, loss_cls: 3.0711, loss_bbox: 1.6409, loss: 4.7837 +2022-09-02 00:10:56,269 - mmdet - INFO - Epoch [2][2600/7390] lr: 2.000e-02, eta: 7:20:23, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0227, loss_cls: 3.0670, loss_bbox: 1.6288, loss: 4.7674 +2022-09-02 00:11:13,121 - mmdet - INFO - Epoch [2][2650/7390] lr: 2.000e-02, eta: 7:20:07, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0233, loss_cls: 3.0806, loss_bbox: 1.6331, loss: 4.7863 +2022-09-02 00:11:29,847 - mmdet - INFO - Epoch [2][2700/7390] lr: 2.000e-02, eta: 7:19:49, time: 0.334, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0229, loss_cls: 3.0871, loss_bbox: 1.6405, loss: 4.7994 +2022-09-02 00:11:46,385 - mmdet - INFO - Epoch [2][2750/7390] lr: 2.000e-02, eta: 7:19:31, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0233, loss_cls: 3.0854, loss_bbox: 1.6329, loss: 4.7921 +2022-09-02 00:12:03,233 - mmdet - INFO - Epoch [2][2800/7390] lr: 2.000e-02, eta: 7:19:14, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0223, loss_cls: 3.0564, loss_bbox: 1.6512, loss: 4.7783 +2022-09-02 00:12:19,767 - mmdet - INFO - Epoch [2][2850/7390] lr: 2.000e-02, eta: 7:18:55, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0227, loss_cls: 3.0671, loss_bbox: 1.6310, loss: 4.7704 +2022-09-02 00:12:36,707 - mmdet - INFO - Epoch [2][2900/7390] lr: 2.000e-02, eta: 7:18:40, time: 0.340, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0230, loss_cls: 3.0720, loss_bbox: 1.6384, loss: 4.7824 +2022-09-02 00:12:53,151 - mmdet - INFO - Epoch [2][2950/7390] lr: 2.000e-02, eta: 7:18:21, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0225, loss_cls: 3.0771, loss_bbox: 1.6256, loss: 4.7741 +2022-09-02 00:13:09,684 - mmdet - INFO - Epoch [2][3000/7390] lr: 2.000e-02, eta: 7:18:02, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0225, loss_cls: 3.0512, loss_bbox: 1.6322, loss: 4.7537 +2022-09-02 00:13:26,203 - mmdet - INFO - Epoch [2][3050/7390] lr: 2.000e-02, eta: 7:17:43, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0224, loss_cls: 3.0442, loss_bbox: 1.6338, loss: 4.7497 +2022-09-02 00:13:42,862 - mmdet - INFO - Epoch [2][3100/7390] lr: 2.000e-02, eta: 7:17:25, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0225, loss_cls: 3.0582, loss_bbox: 1.6375, loss: 4.7675 +2022-09-02 00:13:59,575 - mmdet - INFO - Epoch [2][3150/7390] lr: 2.000e-02, eta: 7:17:08, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0230, loss_cls: 3.0615, loss_bbox: 1.6424, loss: 4.7763 +2022-09-02 00:14:16,076 - mmdet - INFO - Epoch [2][3200/7390] lr: 2.000e-02, eta: 7:16:49, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0231, loss_cls: 3.0674, loss_bbox: 1.6279, loss: 4.7682 +2022-09-02 00:14:32,976 - mmdet - INFO - Epoch [2][3250/7390] lr: 2.000e-02, eta: 7:16:33, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0234, loss_cls: 3.0672, loss_bbox: 1.6352, loss: 4.7762 +2022-09-02 00:14:49,806 - mmdet - INFO - Epoch [2][3300/7390] lr: 2.000e-02, eta: 7:16:17, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0228, loss_cls: 3.0721, loss_bbox: 1.6293, loss: 4.7737 +2022-09-02 00:15:06,370 - mmdet - INFO - Epoch [2][3350/7390] lr: 2.000e-02, eta: 7:15:58, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0224, loss_cls: 3.0682, loss_bbox: 1.6352, loss: 4.7740 +2022-09-02 00:15:23,697 - mmdet - INFO - Epoch [2][3400/7390] lr: 2.000e-02, eta: 7:15:46, time: 0.347, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0511, loss_rpn_bbox: 0.0232, loss_cls: 3.0596, loss_bbox: 1.6277, loss: 4.7616 +2022-09-02 00:15:41,102 - mmdet - INFO - Epoch [2][3450/7390] lr: 2.000e-02, eta: 7:15:33, time: 0.348, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0236, loss_cls: 3.0659, loss_bbox: 1.6278, loss: 4.7671 +2022-09-02 00:15:57,347 - mmdet - INFO - Epoch [2][3500/7390] lr: 2.000e-02, eta: 7:15:13, time: 0.325, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0224, loss_cls: 3.0490, loss_bbox: 1.6328, loss: 4.7537 +2022-09-02 00:16:13,653 - mmdet - INFO - Epoch [2][3550/7390] lr: 2.000e-02, eta: 7:14:53, time: 0.327, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0225, loss_cls: 3.0575, loss_bbox: 1.6336, loss: 4.7618 +2022-09-02 00:16:30,877 - mmdet - INFO - Epoch [2][3600/7390] lr: 2.000e-02, eta: 7:14:38, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0224, loss_cls: 3.0524, loss_bbox: 1.6265, loss: 4.7502 +2022-09-02 00:16:47,744 - mmdet - INFO - Epoch [2][3650/7390] lr: 2.000e-02, eta: 7:14:23, time: 0.339, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0229, loss_cls: 3.0619, loss_bbox: 1.6189, loss: 4.7525 +2022-09-02 00:17:04,798 - mmdet - INFO - Epoch [2][3700/7390] lr: 2.000e-02, eta: 7:14:08, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0227, loss_cls: 3.0575, loss_bbox: 1.6229, loss: 4.7518 +2022-09-02 00:17:21,745 - mmdet - INFO - Epoch [2][3750/7390] lr: 2.000e-02, eta: 7:13:52, time: 0.339, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0232, loss_cls: 3.0486, loss_bbox: 1.6214, loss: 4.7432 +2022-09-02 00:17:38,557 - mmdet - INFO - Epoch [2][3800/7390] lr: 2.000e-02, eta: 7:13:35, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0227, loss_cls: 3.0369, loss_bbox: 1.6350, loss: 4.7436 +2022-09-02 00:17:55,386 - mmdet - INFO - Epoch [2][3850/7390] lr: 2.000e-02, eta: 7:13:19, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0227, loss_cls: 3.0541, loss_bbox: 1.6284, loss: 4.7542 +2022-09-02 00:18:12,286 - mmdet - INFO - Epoch [2][3900/7390] lr: 2.000e-02, eta: 7:13:03, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0225, loss_cls: 3.0447, loss_bbox: 1.6313, loss: 4.7468 +2022-09-02 00:18:28,644 - mmdet - INFO - Epoch [2][3950/7390] lr: 2.000e-02, eta: 7:12:43, time: 0.326, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0226, loss_cls: 3.0571, loss_bbox: 1.6322, loss: 4.7608 +2022-09-02 00:18:45,590 - mmdet - INFO - Epoch [2][4000/7390] lr: 2.000e-02, eta: 7:12:28, time: 0.340, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0227, loss_cls: 3.0623, loss_bbox: 1.6291, loss: 4.7619 +2022-09-02 00:19:02,732 - mmdet - INFO - Epoch [2][4050/7390] lr: 2.000e-02, eta: 7:12:13, time: 0.342, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0229, loss_cls: 3.0695, loss_bbox: 1.6274, loss: 4.7694 +2022-09-02 00:19:19,766 - mmdet - INFO - Epoch [2][4100/7390] lr: 2.000e-02, eta: 7:11:58, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0234, loss_cls: 3.0596, loss_bbox: 1.6349, loss: 4.7681 +2022-09-02 00:19:36,207 - mmdet - INFO - Epoch [2][4150/7390] lr: 2.000e-02, eta: 7:11:39, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0226, loss_cls: 3.0276, loss_bbox: 1.6275, loss: 4.7266 +2022-09-02 00:19:52,942 - mmdet - INFO - Epoch [2][4200/7390] lr: 2.000e-02, eta: 7:11:22, time: 0.335, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0227, loss_cls: 3.0583, loss_bbox: 1.6267, loss: 4.7559 +2022-09-02 00:20:09,189 - mmdet - INFO - Epoch [2][4250/7390] lr: 2.000e-02, eta: 7:11:01, time: 0.325, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0223, loss_cls: 3.0245, loss_bbox: 1.6207, loss: 4.7153 +2022-09-02 00:20:25,934 - mmdet - INFO - Epoch [2][4300/7390] lr: 2.000e-02, eta: 7:10:44, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0222, loss_cls: 3.0249, loss_bbox: 1.6341, loss: 4.7300 +2022-09-02 00:20:43,049 - mmdet - INFO - Epoch [2][4350/7390] lr: 2.000e-02, eta: 7:10:30, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0231, loss_cls: 3.0762, loss_bbox: 1.6290, loss: 4.7776 +2022-09-02 00:20:59,857 - mmdet - INFO - Epoch [2][4400/7390] lr: 2.000e-02, eta: 7:10:13, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0237, loss_cls: 3.0569, loss_bbox: 1.6224, loss: 4.7534 +2022-09-02 00:21:16,457 - mmdet - INFO - Epoch [2][4450/7390] lr: 2.000e-02, eta: 7:09:55, time: 0.332, data_time: 0.011, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0224, loss_cls: 3.0342, loss_bbox: 1.6283, loss: 4.7332 +2022-09-02 00:21:33,724 - mmdet - INFO - Epoch [2][4500/7390] lr: 2.000e-02, eta: 7:09:41, time: 0.346, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0235, loss_cls: 3.0679, loss_bbox: 1.6321, loss: 4.7728 +2022-09-02 00:21:50,561 - mmdet - INFO - Epoch [2][4550/7390] lr: 2.000e-02, eta: 7:09:25, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0230, loss_cls: 3.0474, loss_bbox: 1.6254, loss: 4.7455 +2022-09-02 00:22:07,493 - mmdet - INFO - Epoch [2][4600/7390] lr: 2.000e-02, eta: 7:09:09, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0227, loss_cls: 3.0326, loss_bbox: 1.6323, loss: 4.7367 +2022-09-02 00:22:24,509 - mmdet - INFO - Epoch [2][4650/7390] lr: 2.000e-02, eta: 7:08:54, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0231, loss_cls: 3.0429, loss_bbox: 1.6245, loss: 4.7399 +2022-09-02 00:22:41,141 - mmdet - INFO - Epoch [2][4700/7390] lr: 2.000e-02, eta: 7:08:36, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0226, loss_cls: 3.0317, loss_bbox: 1.6202, loss: 4.7232 +2022-09-02 00:22:58,218 - mmdet - INFO - Epoch [2][4750/7390] lr: 2.000e-02, eta: 7:08:21, time: 0.342, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0231, loss_cls: 3.0576, loss_bbox: 1.6219, loss: 4.7523 +2022-09-02 00:23:14,690 - mmdet - INFO - Epoch [2][4800/7390] lr: 2.000e-02, eta: 7:08:02, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0233, loss_cls: 3.0676, loss_bbox: 1.6209, loss: 4.7617 +2022-09-02 00:23:31,670 - mmdet - INFO - Epoch [2][4850/7390] lr: 2.000e-02, eta: 7:07:47, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0225, loss_cls: 3.0318, loss_bbox: 1.6264, loss: 4.7292 +2022-09-02 00:23:48,268 - mmdet - INFO - Epoch [2][4900/7390] lr: 2.000e-02, eta: 7:07:29, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0226, loss_cls: 3.0437, loss_bbox: 1.6262, loss: 4.7411 +2022-09-02 00:24:05,418 - mmdet - INFO - Epoch [2][4950/7390] lr: 2.000e-02, eta: 7:07:14, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0234, loss_cls: 3.0601, loss_bbox: 1.6283, loss: 4.7618 +2022-09-02 00:24:21,799 - mmdet - INFO - Epoch [2][5000/7390] lr: 2.000e-02, eta: 7:06:55, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0225, loss_cls: 3.0275, loss_bbox: 1.6201, loss: 4.7190 +2022-09-02 00:24:38,850 - mmdet - INFO - Epoch [2][5050/7390] lr: 2.000e-02, eta: 7:06:39, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0234, loss_cls: 3.0604, loss_bbox: 1.6288, loss: 4.7619 +2022-09-02 00:24:55,526 - mmdet - INFO - Epoch [2][5100/7390] lr: 2.000e-02, eta: 7:06:22, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0228, loss_cls: 3.0359, loss_bbox: 1.6241, loss: 4.7314 +2022-09-02 00:25:12,118 - mmdet - INFO - Epoch [2][5150/7390] lr: 2.000e-02, eta: 7:06:04, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0221, loss_cls: 3.0338, loss_bbox: 1.6264, loss: 4.7296 +2022-09-02 00:25:28,871 - mmdet - INFO - Epoch [2][5200/7390] lr: 2.000e-02, eta: 7:05:47, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0231, loss_cls: 3.0387, loss_bbox: 1.6237, loss: 4.7347 +2022-09-02 00:25:45,500 - mmdet - INFO - Epoch [2][5250/7390] lr: 2.000e-02, eta: 7:05:29, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0225, loss_cls: 3.0270, loss_bbox: 1.6187, loss: 4.7177 +2022-09-02 00:26:02,550 - mmdet - INFO - Epoch [2][5300/7390] lr: 2.000e-02, eta: 7:05:14, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0231, loss_cls: 3.0520, loss_bbox: 1.6325, loss: 4.7565 +2022-09-02 00:26:19,380 - mmdet - INFO - Epoch [2][5350/7390] lr: 2.000e-02, eta: 7:04:58, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0231, loss_cls: 3.0184, loss_bbox: 1.6215, loss: 4.7119 +2022-09-02 00:26:36,024 - mmdet - INFO - Epoch [2][5400/7390] lr: 2.000e-02, eta: 7:04:40, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0230, loss_cls: 3.0487, loss_bbox: 1.6228, loss: 4.7441 +2022-09-02 00:26:52,466 - mmdet - INFO - Epoch [2][5450/7390] lr: 2.000e-02, eta: 7:04:21, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0225, loss_cls: 3.0489, loss_bbox: 1.6213, loss: 4.7406 +2022-09-02 00:27:09,043 - mmdet - INFO - Epoch [2][5500/7390] lr: 2.000e-02, eta: 7:04:03, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0232, loss_cls: 3.0412, loss_bbox: 1.6250, loss: 4.7389 +2022-09-02 00:27:26,126 - mmdet - INFO - Epoch [2][5550/7390] lr: 2.000e-02, eta: 7:03:48, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0233, loss_cls: 3.0335, loss_bbox: 1.6161, loss: 4.7222 +2022-09-02 00:27:42,433 - mmdet - INFO - Epoch [2][5600/7390] lr: 2.000e-02, eta: 7:03:28, time: 0.326, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0221, loss_cls: 3.0230, loss_bbox: 1.6291, loss: 4.7219 +2022-09-02 00:27:59,260 - mmdet - INFO - Epoch [2][5650/7390] lr: 2.000e-02, eta: 7:03:12, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0232, loss_cls: 3.0196, loss_bbox: 1.6207, loss: 4.7127 +2022-09-02 00:28:16,149 - mmdet - INFO - Epoch [2][5700/7390] lr: 2.000e-02, eta: 7:02:56, time: 0.338, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0230, loss_cls: 3.0530, loss_bbox: 1.6264, loss: 4.7510 +2022-09-02 00:28:32,647 - mmdet - INFO - Epoch [2][5750/7390] lr: 2.000e-02, eta: 7:02:37, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0224, loss_cls: 3.0122, loss_bbox: 1.6292, loss: 4.7122 +2022-09-02 00:28:49,348 - mmdet - INFO - Epoch [2][5800/7390] lr: 2.000e-02, eta: 7:02:20, time: 0.334, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0230, loss_cls: 3.0422, loss_bbox: 1.6248, loss: 4.7390 +2022-09-02 00:29:06,145 - mmdet - INFO - Epoch [2][5850/7390] lr: 2.000e-02, eta: 7:02:03, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0226, loss_cls: 3.0220, loss_bbox: 1.6163, loss: 4.7104 +2022-09-02 00:29:22,500 - mmdet - INFO - Epoch [2][5900/7390] lr: 2.000e-02, eta: 7:01:44, time: 0.327, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0224, loss_cls: 3.0439, loss_bbox: 1.6132, loss: 4.7273 +2022-09-02 00:29:39,823 - mmdet - INFO - Epoch [2][5950/7390] lr: 2.000e-02, eta: 7:01:30, time: 0.346, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0230, loss_cls: 3.0400, loss_bbox: 1.6231, loss: 4.7350 +2022-09-02 00:29:56,850 - mmdet - INFO - Epoch [2][6000/7390] lr: 2.000e-02, eta: 7:01:15, time: 0.341, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0228, loss_cls: 3.0257, loss_bbox: 1.6237, loss: 4.7211 +2022-09-02 00:30:13,285 - mmdet - INFO - Epoch [2][6050/7390] lr: 2.000e-02, eta: 7:00:56, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0225, loss_cls: 3.0279, loss_bbox: 1.6180, loss: 4.7174 +2022-09-02 00:30:30,119 - mmdet - INFO - Epoch [2][6100/7390] lr: 2.000e-02, eta: 7:00:40, time: 0.337, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0229, loss_cls: 3.0409, loss_bbox: 1.6191, loss: 4.7320 +2022-09-02 00:30:47,609 - mmdet - INFO - Epoch [2][6150/7390] lr: 2.000e-02, eta: 7:00:27, time: 0.350, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0238, loss_cls: 3.0476, loss_bbox: 1.6168, loss: 4.7384 +2022-09-02 00:31:04,766 - mmdet - INFO - Epoch [2][6200/7390] lr: 2.000e-02, eta: 7:00:12, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0228, loss_cls: 3.0304, loss_bbox: 1.6202, loss: 4.7220 +2022-09-02 00:31:21,739 - mmdet - INFO - Epoch [2][6250/7390] lr: 2.000e-02, eta: 6:59:56, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0233, loss_cls: 3.0405, loss_bbox: 1.6114, loss: 4.7253 +2022-09-02 00:31:38,651 - mmdet - INFO - Epoch [2][6300/7390] lr: 2.000e-02, eta: 6:59:40, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0230, loss_cls: 3.0469, loss_bbox: 1.6201, loss: 4.7394 +2022-09-02 00:31:55,227 - mmdet - INFO - Epoch [2][6350/7390] lr: 2.000e-02, eta: 6:59:22, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0226, loss_cls: 3.0459, loss_bbox: 1.6174, loss: 4.7353 +2022-09-02 00:32:12,012 - mmdet - INFO - Epoch [2][6400/7390] lr: 2.000e-02, eta: 6:59:06, time: 0.337, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0233, loss_cls: 3.0495, loss_bbox: 1.6307, loss: 4.7524 +2022-09-02 00:32:29,025 - mmdet - INFO - Epoch [2][6450/7390] lr: 2.000e-02, eta: 6:58:50, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0229, loss_cls: 3.0191, loss_bbox: 1.6146, loss: 4.7059 +2022-09-02 00:32:45,820 - mmdet - INFO - Epoch [2][6500/7390] lr: 2.000e-02, eta: 6:58:33, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0228, loss_cls: 3.0327, loss_bbox: 1.6181, loss: 4.7227 +2022-09-02 00:33:03,126 - mmdet - INFO - Epoch [2][6550/7390] lr: 2.000e-02, eta: 6:58:19, time: 0.346, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0225, loss_cls: 3.0193, loss_bbox: 1.6264, loss: 4.7162 +2022-09-02 00:33:19,717 - mmdet - INFO - Epoch [2][6600/7390] lr: 2.000e-02, eta: 6:58:01, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0231, loss_cls: 3.0448, loss_bbox: 1.6184, loss: 4.7355 +2022-09-02 00:33:36,694 - mmdet - INFO - Epoch [2][6650/7390] lr: 2.000e-02, eta: 6:57:45, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0226, loss_cls: 3.0246, loss_bbox: 1.6164, loss: 4.7119 +2022-09-02 00:33:52,965 - mmdet - INFO - Epoch [2][6700/7390] lr: 2.000e-02, eta: 6:57:26, time: 0.326, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0224, loss_cls: 3.0154, loss_bbox: 1.6154, loss: 4.7009 +2022-09-02 00:34:10,230 - mmdet - INFO - Epoch [2][6750/7390] lr: 2.000e-02, eta: 6:57:12, time: 0.346, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0236, loss_cls: 3.0318, loss_bbox: 1.6101, loss: 4.7153 +2022-09-02 00:34:26,755 - mmdet - INFO - Epoch [2][6800/7390] lr: 2.000e-02, eta: 6:56:53, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0221, loss_cls: 3.0218, loss_bbox: 1.6268, loss: 4.7187 +2022-09-02 00:34:43,532 - mmdet - INFO - Epoch [2][6850/7390] lr: 2.000e-02, eta: 6:56:37, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0227, loss_cls: 3.0192, loss_bbox: 1.6141, loss: 4.7046 +2022-09-02 00:35:00,241 - mmdet - INFO - Epoch [2][6900/7390] lr: 2.000e-02, eta: 6:56:19, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0222, loss_cls: 3.0113, loss_bbox: 1.6234, loss: 4.7052 +2022-09-02 00:35:16,604 - mmdet - INFO - Epoch [2][6950/7390] lr: 2.000e-02, eta: 6:56:00, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0219, loss_cls: 3.0149, loss_bbox: 1.6132, loss: 4.6973 +2022-09-02 00:35:33,642 - mmdet - INFO - Epoch [2][7000/7390] lr: 2.000e-02, eta: 6:55:45, time: 0.341, data_time: 0.011, memory: 3974, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0226, loss_cls: 3.0296, loss_bbox: 1.6092, loss: 4.7089 +2022-09-02 00:35:50,343 - mmdet - INFO - Epoch [2][7050/7390] lr: 2.000e-02, eta: 6:55:28, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0227, loss_cls: 3.0257, loss_bbox: 1.6233, loss: 4.7200 +2022-09-02 00:36:07,283 - mmdet - INFO - Epoch [2][7100/7390] lr: 2.000e-02, eta: 6:55:12, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0229, loss_cls: 3.0391, loss_bbox: 1.6267, loss: 4.7373 +2022-09-02 00:36:23,750 - mmdet - INFO - Epoch [2][7150/7390] lr: 2.000e-02, eta: 6:54:53, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0215, loss_cls: 2.9858, loss_bbox: 1.6174, loss: 4.6721 +2022-09-02 00:36:40,566 - mmdet - INFO - Epoch [2][7200/7390] lr: 2.000e-02, eta: 6:54:36, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0224, loss_cls: 3.0203, loss_bbox: 1.6173, loss: 4.7079 +2022-09-02 00:36:57,780 - mmdet - INFO - Epoch [2][7250/7390] lr: 2.000e-02, eta: 6:54:22, time: 0.344, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0236, loss_cls: 3.0304, loss_bbox: 1.6074, loss: 4.7114 +2022-09-02 00:37:14,562 - mmdet - INFO - Epoch [2][7300/7390] lr: 2.000e-02, eta: 6:54:05, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0225, loss_cls: 2.9969, loss_bbox: 1.6072, loss: 4.6755 +2022-09-02 00:37:31,440 - mmdet - INFO - Epoch [2][7350/7390] lr: 2.000e-02, eta: 6:53:49, time: 0.338, data_time: 0.011, memory: 3974, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0226, loss_cls: 3.0196, loss_bbox: 1.6176, loss: 4.7082 +2022-09-02 00:37:45,210 - mmdet - INFO - Saving checkpoint at 2 epochs +2022-09-02 00:38:06,131 - mmdet - INFO - Epoch [3][50/7390] lr: 2.000e-02, eta: 6:52:25, time: 0.390, data_time: 0.073, memory: 3974, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0223, loss_cls: 3.0058, loss_bbox: 1.6070, loss: 4.6831 +2022-09-02 00:38:23,013 - mmdet - INFO - Epoch [3][100/7390] lr: 2.000e-02, eta: 6:52:09, time: 0.338, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0221, loss_cls: 3.0028, loss_bbox: 1.6211, loss: 4.6942 +2022-09-02 00:38:39,903 - mmdet - INFO - Epoch [3][150/7390] lr: 2.000e-02, eta: 6:51:53, time: 0.338, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0234, loss_cls: 3.0231, loss_bbox: 1.6105, loss: 4.7059 +2022-09-02 00:38:56,846 - mmdet - INFO - Epoch [3][200/7390] lr: 2.000e-02, eta: 6:51:37, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0225, loss_cls: 3.0134, loss_bbox: 1.6110, loss: 4.6958 +2022-09-02 00:39:13,399 - mmdet - INFO - Epoch [3][250/7390] lr: 2.000e-02, eta: 6:51:20, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0222, loss_cls: 2.9951, loss_bbox: 1.6106, loss: 4.6753 +2022-09-02 00:39:29,807 - mmdet - INFO - Epoch [3][300/7390] lr: 2.000e-02, eta: 6:51:01, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0226, loss_cls: 3.0047, loss_bbox: 1.6094, loss: 4.6846 +2022-09-02 00:39:46,365 - mmdet - INFO - Epoch [3][350/7390] lr: 2.000e-02, eta: 6:50:43, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0219, loss_cls: 2.9971, loss_bbox: 1.6072, loss: 4.6731 +2022-09-02 00:40:03,577 - mmdet - INFO - Epoch [3][400/7390] lr: 2.000e-02, eta: 6:50:29, time: 0.344, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0228, loss_cls: 2.9998, loss_bbox: 1.6185, loss: 4.6891 +2022-09-02 00:40:20,763 - mmdet - INFO - Epoch [3][450/7390] lr: 2.000e-02, eta: 6:50:14, time: 0.344, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0233, loss_cls: 3.0244, loss_bbox: 1.6087, loss: 4.7059 +2022-09-02 00:40:37,604 - mmdet - INFO - Epoch [3][500/7390] lr: 2.000e-02, eta: 6:49:58, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0232, loss_cls: 3.0099, loss_bbox: 1.6162, loss: 4.6991 +2022-09-02 00:40:54,396 - mmdet - INFO - Epoch [3][550/7390] lr: 2.000e-02, eta: 6:49:41, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0227, loss_cls: 3.0010, loss_bbox: 1.6137, loss: 4.6857 +2022-09-02 00:41:11,131 - mmdet - INFO - Epoch [3][600/7390] lr: 2.000e-02, eta: 6:49:24, time: 0.335, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0221, loss_cls: 3.0007, loss_bbox: 1.6167, loss: 4.6872 +2022-09-02 00:41:27,616 - mmdet - INFO - Epoch [3][650/7390] lr: 2.000e-02, eta: 6:49:06, time: 0.330, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0221, loss_cls: 3.0134, loss_bbox: 1.6123, loss: 4.6949 +2022-09-02 00:41:44,182 - mmdet - INFO - Epoch [3][700/7390] lr: 2.000e-02, eta: 6:48:49, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0224, loss_cls: 2.9989, loss_bbox: 1.6049, loss: 4.6736 +2022-09-02 00:42:00,807 - mmdet - INFO - Epoch [3][750/7390] lr: 2.000e-02, eta: 6:48:31, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0224, loss_cls: 3.0119, loss_bbox: 1.6136, loss: 4.6958 +2022-09-02 00:42:17,231 - mmdet - INFO - Epoch [3][800/7390] lr: 2.000e-02, eta: 6:48:13, time: 0.329, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0225, loss_cls: 2.9951, loss_bbox: 1.6096, loss: 4.6755 +2022-09-02 00:42:33,750 - mmdet - INFO - Epoch [3][850/7390] lr: 2.000e-02, eta: 6:47:55, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0226, loss_cls: 2.9856, loss_bbox: 1.6018, loss: 4.6585 +2022-09-02 00:42:50,547 - mmdet - INFO - Epoch [3][900/7390] lr: 2.000e-02, eta: 6:47:39, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0222, loss_cls: 3.0003, loss_bbox: 1.6010, loss: 4.6712 +2022-09-02 00:43:07,572 - mmdet - INFO - Epoch [3][950/7390] lr: 2.000e-02, eta: 6:47:23, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0230, loss_cls: 3.0195, loss_bbox: 1.6092, loss: 4.7002 +2022-09-02 00:43:24,028 - mmdet - INFO - Epoch [3][1000/7390] lr: 2.000e-02, eta: 6:47:05, time: 0.330, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0221, loss_cls: 2.9904, loss_bbox: 1.6141, loss: 4.6741 +2022-09-02 00:43:41,269 - mmdet - INFO - Epoch [3][1050/7390] lr: 2.000e-02, eta: 6:46:50, time: 0.344, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0233, loss_cls: 3.0063, loss_bbox: 1.6221, loss: 4.7012 +2022-09-02 00:43:57,686 - mmdet - INFO - Epoch [3][1100/7390] lr: 2.000e-02, eta: 6:46:32, time: 0.329, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0223, loss_cls: 3.0095, loss_bbox: 1.6187, loss: 4.6983 +2022-09-02 00:44:14,460 - mmdet - INFO - Epoch [3][1150/7390] lr: 2.000e-02, eta: 6:46:16, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0225, loss_cls: 2.9915, loss_bbox: 1.6160, loss: 4.6782 +2022-09-02 00:44:31,186 - mmdet - INFO - Epoch [3][1200/7390] lr: 2.000e-02, eta: 6:45:59, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0227, loss_cls: 3.0027, loss_bbox: 1.6149, loss: 4.6887 +2022-09-02 00:44:48,108 - mmdet - INFO - Epoch [3][1250/7390] lr: 2.000e-02, eta: 6:45:43, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0228, loss_cls: 3.0074, loss_bbox: 1.5976, loss: 4.6767 +2022-09-02 00:45:04,666 - mmdet - INFO - Epoch [3][1300/7390] lr: 2.000e-02, eta: 6:45:25, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0225, loss_cls: 2.9989, loss_bbox: 1.6031, loss: 4.6723 +2022-09-02 00:45:21,144 - mmdet - INFO - Epoch [3][1350/7390] lr: 2.000e-02, eta: 6:45:07, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0228, loss_cls: 2.9992, loss_bbox: 1.6037, loss: 4.6742 +2022-09-02 00:45:38,051 - mmdet - INFO - Epoch [3][1400/7390] lr: 2.000e-02, eta: 6:44:51, time: 0.338, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0226, loss_cls: 3.0040, loss_bbox: 1.5985, loss: 4.6733 +2022-09-02 00:45:54,708 - mmdet - INFO - Epoch [3][1450/7390] lr: 2.000e-02, eta: 6:44:34, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0218, loss_cls: 2.9954, loss_bbox: 1.6255, loss: 4.6905 +2022-09-02 00:46:11,768 - mmdet - INFO - Epoch [3][1500/7390] lr: 2.000e-02, eta: 6:44:18, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0230, loss_cls: 3.0085, loss_bbox: 1.6083, loss: 4.6883 +2022-09-02 00:46:28,295 - mmdet - INFO - Epoch [3][1550/7390] lr: 2.000e-02, eta: 6:44:01, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0219, loss_cls: 2.9835, loss_bbox: 1.6078, loss: 4.6610 +2022-09-02 00:46:45,164 - mmdet - INFO - Epoch [3][1600/7390] lr: 2.000e-02, eta: 6:43:45, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0230, loss_cls: 3.0193, loss_bbox: 1.6101, loss: 4.7007 +2022-09-02 00:47:02,128 - mmdet - INFO - Epoch [3][1650/7390] lr: 2.000e-02, eta: 6:43:29, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0224, loss_cls: 2.9949, loss_bbox: 1.6095, loss: 4.6747 +2022-09-02 00:47:19,643 - mmdet - INFO - Epoch [3][1700/7390] lr: 2.000e-02, eta: 6:43:15, time: 0.350, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0228, loss_cls: 3.0019, loss_bbox: 1.6131, loss: 4.6868 +2022-09-02 00:47:36,546 - mmdet - INFO - Epoch [3][1750/7390] lr: 2.000e-02, eta: 6:42:59, time: 0.339, data_time: 0.011, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0232, loss_cls: 3.0071, loss_bbox: 1.6153, loss: 4.6938 +2022-09-02 00:47:53,166 - mmdet - INFO - Epoch [3][1800/7390] lr: 2.000e-02, eta: 6:42:42, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9863, loss_bbox: 1.6133, loss: 4.6688 +2022-09-02 00:48:09,913 - mmdet - INFO - Epoch [3][1850/7390] lr: 2.000e-02, eta: 6:42:25, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0224, loss_cls: 3.0019, loss_bbox: 1.6070, loss: 4.6790 +2022-09-02 00:48:26,154 - mmdet - INFO - Epoch [3][1900/7390] lr: 2.000e-02, eta: 6:42:06, time: 0.324, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0220, loss_cls: 2.9913, loss_bbox: 1.6070, loss: 4.6679 +2022-09-02 00:48:42,316 - mmdet - INFO - Epoch [3][1950/7390] lr: 2.000e-02, eta: 6:41:47, time: 0.323, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0224, loss_cls: 2.9984, loss_bbox: 1.6089, loss: 4.6776 +2022-09-02 00:48:59,228 - mmdet - INFO - Epoch [3][2000/7390] lr: 2.000e-02, eta: 6:41:31, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0231, loss_cls: 3.0105, loss_bbox: 1.6063, loss: 4.6891 +2022-09-02 00:49:16,240 - mmdet - INFO - Epoch [3][2050/7390] lr: 2.000e-02, eta: 6:41:15, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0222, loss_cls: 3.0141, loss_bbox: 1.6099, loss: 4.6929 +2022-09-02 00:49:32,878 - mmdet - INFO - Epoch [3][2100/7390] lr: 2.000e-02, eta: 6:40:58, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0222, loss_cls: 2.9831, loss_bbox: 1.6040, loss: 4.6567 +2022-09-02 00:49:50,277 - mmdet - INFO - Epoch [3][2150/7390] lr: 2.000e-02, eta: 6:40:44, time: 0.348, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0226, loss_cls: 2.9968, loss_bbox: 1.6052, loss: 4.6727 +2022-09-02 00:50:07,204 - mmdet - INFO - Epoch [3][2200/7390] lr: 2.000e-02, eta: 6:40:28, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0230, loss_cls: 3.0076, loss_bbox: 1.6064, loss: 4.6864 +2022-09-02 00:50:24,202 - mmdet - INFO - Epoch [3][2250/7390] lr: 2.000e-02, eta: 6:40:12, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0226, loss_cls: 2.9876, loss_bbox: 1.5966, loss: 4.6547 +2022-09-02 00:50:40,898 - mmdet - INFO - Epoch [3][2300/7390] lr: 2.000e-02, eta: 6:39:55, time: 0.334, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0225, loss_cls: 3.0197, loss_bbox: 1.6014, loss: 4.6914 +2022-09-02 00:50:57,816 - mmdet - INFO - Epoch [3][2350/7390] lr: 2.000e-02, eta: 6:39:39, time: 0.339, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0226, loss_cls: 3.0068, loss_bbox: 1.6123, loss: 4.6904 +2022-09-02 00:51:14,534 - mmdet - INFO - Epoch [3][2400/7390] lr: 2.000e-02, eta: 6:39:22, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0220, loss_cls: 2.9985, loss_bbox: 1.6074, loss: 4.6752 +2022-09-02 00:51:30,748 - mmdet - INFO - Epoch [3][2450/7390] lr: 2.000e-02, eta: 6:39:03, time: 0.324, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0221, loss_cls: 3.0001, loss_bbox: 1.6051, loss: 4.6744 +2022-09-02 00:51:47,985 - mmdet - INFO - Epoch [3][2500/7390] lr: 2.000e-02, eta: 6:38:48, time: 0.345, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0232, loss_cls: 3.0120, loss_bbox: 1.6028, loss: 4.6871 +2022-09-02 00:52:04,809 - mmdet - INFO - Epoch [3][2550/7390] lr: 2.000e-02, eta: 6:38:32, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0229, loss_cls: 3.0160, loss_bbox: 1.6131, loss: 4.7000 +2022-09-02 00:52:21,830 - mmdet - INFO - Epoch [3][2600/7390] lr: 2.000e-02, eta: 6:38:16, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.9775, loss_bbox: 1.5973, loss: 4.6437 +2022-09-02 00:52:38,897 - mmdet - INFO - Epoch [3][2650/7390] lr: 2.000e-02, eta: 6:38:00, time: 0.341, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0226, loss_cls: 3.0004, loss_bbox: 1.6121, loss: 4.6829 +2022-09-02 00:52:56,101 - mmdet - INFO - Epoch [3][2700/7390] lr: 2.000e-02, eta: 6:37:46, time: 0.344, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0227, loss_cls: 3.0072, loss_bbox: 1.6089, loss: 4.6869 +2022-09-02 00:53:13,271 - mmdet - INFO - Epoch [3][2750/7390] lr: 2.000e-02, eta: 6:37:30, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0235, loss_cls: 3.0147, loss_bbox: 1.6019, loss: 4.6892 +2022-09-02 00:53:29,738 - mmdet - INFO - Epoch [3][2800/7390] lr: 2.000e-02, eta: 6:37:12, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0222, loss_cls: 2.9732, loss_bbox: 1.6126, loss: 4.6563 +2022-09-02 00:53:46,089 - mmdet - INFO - Epoch [3][2850/7390] lr: 2.000e-02, eta: 6:36:54, time: 0.328, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0225, loss_cls: 3.0122, loss_bbox: 1.5961, loss: 4.6787 +2022-09-02 00:54:02,816 - mmdet - INFO - Epoch [3][2900/7390] lr: 2.000e-02, eta: 6:36:37, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0222, loss_cls: 2.9701, loss_bbox: 1.6058, loss: 4.6458 +2022-09-02 00:54:19,531 - mmdet - INFO - Epoch [3][2950/7390] lr: 2.000e-02, eta: 6:36:20, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0225, loss_cls: 2.9853, loss_bbox: 1.6067, loss: 4.6626 +2022-09-02 00:54:36,246 - mmdet - INFO - Epoch [3][3000/7390] lr: 2.000e-02, eta: 6:36:03, time: 0.334, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0228, loss_cls: 3.0107, loss_bbox: 1.6063, loss: 4.6879 +2022-09-02 00:54:52,993 - mmdet - INFO - Epoch [3][3050/7390] lr: 2.000e-02, eta: 6:35:47, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0223, loss_cls: 2.9787, loss_bbox: 1.6011, loss: 4.6502 +2022-09-02 00:55:09,952 - mmdet - INFO - Epoch [3][3100/7390] lr: 2.000e-02, eta: 6:35:31, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0224, loss_cls: 2.9991, loss_bbox: 1.6118, loss: 4.6803 +2022-09-02 00:55:27,146 - mmdet - INFO - Epoch [3][3150/7390] lr: 2.000e-02, eta: 6:35:15, time: 0.344, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0231, loss_cls: 2.9925, loss_bbox: 1.6053, loss: 4.6697 +2022-09-02 00:55:44,066 - mmdet - INFO - Epoch [3][3200/7390] lr: 2.000e-02, eta: 6:34:59, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0229, loss_cls: 2.9998, loss_bbox: 1.6070, loss: 4.6788 +2022-09-02 00:56:00,628 - mmdet - INFO - Epoch [3][3250/7390] lr: 2.000e-02, eta: 6:34:42, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0227, loss_cls: 3.0030, loss_bbox: 1.6105, loss: 4.6850 +2022-09-02 00:56:17,218 - mmdet - INFO - Epoch [3][3300/7390] lr: 2.000e-02, eta: 6:34:24, time: 0.331, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0225, loss_cls: 2.9907, loss_bbox: 1.6000, loss: 4.6611 +2022-09-02 00:56:34,540 - mmdet - INFO - Epoch [3][3350/7390] lr: 2.000e-02, eta: 6:34:10, time: 0.347, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0227, loss_cls: 2.9926, loss_bbox: 1.6106, loss: 4.6744 +2022-09-02 00:56:51,290 - mmdet - INFO - Epoch [3][3400/7390] lr: 2.000e-02, eta: 6:33:53, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0226, loss_cls: 2.9925, loss_bbox: 1.6129, loss: 4.6765 +2022-09-02 00:57:08,112 - mmdet - INFO - Epoch [3][3450/7390] lr: 2.000e-02, eta: 6:33:36, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0222, loss_cls: 2.9832, loss_bbox: 1.6002, loss: 4.6536 +2022-09-02 00:57:24,772 - mmdet - INFO - Epoch [3][3500/7390] lr: 2.000e-02, eta: 6:33:19, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0224, loss_cls: 2.9972, loss_bbox: 1.6020, loss: 4.6698 +2022-09-02 00:57:41,358 - mmdet - INFO - Epoch [3][3550/7390] lr: 2.000e-02, eta: 6:33:02, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0225, loss_cls: 2.9938, loss_bbox: 1.6013, loss: 4.6650 +2022-09-02 00:57:58,072 - mmdet - INFO - Epoch [3][3600/7390] lr: 2.000e-02, eta: 6:32:45, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0227, loss_cls: 2.9961, loss_bbox: 1.6032, loss: 4.6707 +2022-09-02 00:58:15,070 - mmdet - INFO - Epoch [3][3650/7390] lr: 2.000e-02, eta: 6:32:29, time: 0.340, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0224, loss_cls: 2.9954, loss_bbox: 1.6062, loss: 4.6714 +2022-09-02 00:58:31,764 - mmdet - INFO - Epoch [3][3700/7390] lr: 2.000e-02, eta: 6:32:12, time: 0.334, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0227, loss_cls: 3.0027, loss_bbox: 1.5989, loss: 4.6727 +2022-09-02 00:58:48,593 - mmdet - INFO - Epoch [3][3750/7390] lr: 2.000e-02, eta: 6:31:56, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0235, loss_cls: 3.0045, loss_bbox: 1.5993, loss: 4.6766 +2022-09-02 00:59:05,506 - mmdet - INFO - Epoch [3][3800/7390] lr: 2.000e-02, eta: 6:31:39, time: 0.339, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0232, loss_cls: 2.9903, loss_bbox: 1.6070, loss: 4.6696 +2022-09-02 00:59:22,416 - mmdet - INFO - Epoch [3][3850/7390] lr: 2.000e-02, eta: 6:31:23, time: 0.338, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0223, loss_cls: 2.9824, loss_bbox: 1.5955, loss: 4.6480 +2022-09-02 00:59:39,209 - mmdet - INFO - Epoch [3][3900/7390] lr: 2.000e-02, eta: 6:31:06, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0222, loss_cls: 2.9906, loss_bbox: 1.6108, loss: 4.6711 +2022-09-02 00:59:55,877 - mmdet - INFO - Epoch [3][3950/7390] lr: 2.000e-02, eta: 6:30:49, time: 0.333, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0218, loss_cls: 2.9669, loss_bbox: 1.6115, loss: 4.6469 +2022-09-02 01:00:12,660 - mmdet - INFO - Epoch [3][4000/7390] lr: 2.000e-02, eta: 6:30:33, time: 0.336, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0226, loss_cls: 2.9884, loss_bbox: 1.6029, loss: 4.6620 +2022-09-02 01:00:29,140 - mmdet - INFO - Epoch [3][4050/7390] lr: 2.000e-02, eta: 6:30:15, time: 0.330, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0218, loss_cls: 2.9944, loss_bbox: 1.6185, loss: 4.6816 +2022-09-02 01:00:45,996 - mmdet - INFO - Epoch [3][4100/7390] lr: 2.000e-02, eta: 6:29:58, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0224, loss_cls: 3.0065, loss_bbox: 1.6023, loss: 4.6790 +2022-09-02 01:01:02,966 - mmdet - INFO - Epoch [3][4150/7390] lr: 2.000e-02, eta: 6:29:43, time: 0.340, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0222, loss_cls: 2.9705, loss_bbox: 1.6021, loss: 4.6422 +2022-09-02 01:01:20,219 - mmdet - INFO - Epoch [3][4200/7390] lr: 2.000e-02, eta: 6:29:27, time: 0.344, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0232, loss_cls: 2.9841, loss_bbox: 1.6006, loss: 4.6566 +2022-09-02 01:01:37,058 - mmdet - INFO - Epoch [3][4250/7390] lr: 2.000e-02, eta: 6:29:11, time: 0.337, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0226, loss_cls: 2.9699, loss_bbox: 1.5963, loss: 4.6367 +2022-09-02 01:01:53,974 - mmdet - INFO - Epoch [3][4300/7390] lr: 2.000e-02, eta: 6:28:55, time: 0.339, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0229, loss_cls: 2.9960, loss_bbox: 1.5919, loss: 4.6589 +2022-09-02 01:02:10,759 - mmdet - INFO - Epoch [3][4350/7390] lr: 2.000e-02, eta: 6:28:38, time: 0.336, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0229, loss_cls: 3.0156, loss_bbox: 1.5986, loss: 4.6847 +2022-09-02 01:02:27,537 - mmdet - INFO - Epoch [3][4400/7390] lr: 2.000e-02, eta: 6:28:21, time: 0.335, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0221, loss_cls: 2.9859, loss_bbox: 1.6071, loss: 4.6618 +2022-09-02 01:02:44,105 - mmdet - INFO - Epoch [3][4450/7390] lr: 2.000e-02, eta: 6:28:04, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0221, loss_cls: 2.9782, loss_bbox: 1.6050, loss: 4.6536 +2022-09-02 01:03:00,969 - mmdet - INFO - Epoch [3][4500/7390] lr: 2.000e-02, eta: 6:27:48, time: 0.337, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0228, loss_cls: 2.9956, loss_bbox: 1.5986, loss: 4.6651 +2022-09-02 01:03:17,560 - mmdet - INFO - Epoch [3][4550/7390] lr: 2.000e-02, eta: 6:27:30, time: 0.332, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0226, loss_cls: 2.9869, loss_bbox: 1.6113, loss: 4.6687 +2022-09-02 01:03:34,634 - mmdet - INFO - Epoch [3][4600/7390] lr: 2.000e-02, eta: 6:27:15, time: 0.342, data_time: 0.010, memory: 3974, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0224, loss_cls: 2.9854, loss_bbox: 1.6030, loss: 4.6583 +2022-09-02 01:03:51,325 - mmdet - INFO - Epoch [3][4650/7390] lr: 2.000e-02, eta: 6:26:57, time: 0.333, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0228, loss_cls: 2.9928, loss_bbox: 1.5978, loss: 4.6613 +2022-09-02 01:04:07,790 - mmdet - INFO - Epoch [3][4700/7390] lr: 2.000e-02, eta: 6:26:40, time: 0.329, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0223, loss_cls: 2.9725, loss_bbox: 1.5998, loss: 4.6425 +2022-09-02 01:04:24,911 - mmdet - INFO - Epoch [3][4750/7390] lr: 2.000e-02, eta: 6:26:24, time: 0.343, data_time: 0.009, memory: 3974, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0227, loss_cls: 2.9871, loss_bbox: 1.6036, loss: 4.6620 +2022-09-02 01:04:41,570 - mmdet - INFO - Epoch [3][4800/7390] lr: 2.000e-02, eta: 6:26:07, time: 0.333, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0220, loss_cls: 2.9725, loss_bbox: 1.5957, loss: 4.6372 +2022-09-02 01:04:58,233 - mmdet - INFO - Epoch [3][4850/7390] lr: 2.000e-02, eta: 6:25:50, time: 0.333, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0225, loss_cls: 2.9816, loss_bbox: 1.6005, loss: 4.6528 +2022-09-02 01:05:15,256 - mmdet - INFO - Epoch [3][4900/7390] lr: 2.000e-02, eta: 6:25:34, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0228, loss_cls: 2.9807, loss_bbox: 1.6067, loss: 4.6593 +2022-09-02 01:05:32,353 - mmdet - INFO - Epoch [3][4950/7390] lr: 2.000e-02, eta: 6:25:18, time: 0.342, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0229, loss_cls: 2.9937, loss_bbox: 1.5919, loss: 4.6573 +2022-09-02 01:05:48,953 - mmdet - INFO - Epoch [3][5000/7390] lr: 2.000e-02, eta: 6:25:01, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0227, loss_cls: 2.9737, loss_bbox: 1.5890, loss: 4.6331 +2022-09-02 01:06:05,853 - mmdet - INFO - Epoch [3][5050/7390] lr: 2.000e-02, eta: 6:24:45, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0225, loss_cls: 2.9931, loss_bbox: 1.6093, loss: 4.6738 +2022-09-02 01:06:22,771 - mmdet - INFO - Epoch [3][5100/7390] lr: 2.000e-02, eta: 6:24:28, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0222, loss_cls: 2.9765, loss_bbox: 1.6047, loss: 4.6508 +2022-09-02 01:06:39,760 - mmdet - INFO - Epoch [3][5150/7390] lr: 2.000e-02, eta: 6:24:13, time: 0.340, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0226, loss_cls: 2.9841, loss_bbox: 1.6092, loss: 4.6638 +2022-09-02 01:06:57,136 - mmdet - INFO - Epoch [3][5200/7390] lr: 2.000e-02, eta: 6:23:58, time: 0.347, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0229, loss_cls: 2.9931, loss_bbox: 1.6059, loss: 4.6701 +2022-09-02 01:07:13,875 - mmdet - INFO - Epoch [3][5250/7390] lr: 2.000e-02, eta: 6:23:41, time: 0.335, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0219, loss_cls: 2.9997, loss_bbox: 1.5936, loss: 4.6614 +2022-09-02 01:07:30,464 - mmdet - INFO - Epoch [3][5300/7390] lr: 2.000e-02, eta: 6:23:24, time: 0.332, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0227, loss_cls: 2.9799, loss_bbox: 1.5964, loss: 4.6466 +2022-09-02 01:07:47,173 - mmdet - INFO - Epoch [3][5350/7390] lr: 2.000e-02, eta: 6:23:07, time: 0.335, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0220, loss_cls: 2.9604, loss_bbox: 1.5925, loss: 4.6214 +2022-09-02 01:08:04,177 - mmdet - INFO - Epoch [3][5400/7390] lr: 2.000e-02, eta: 6:22:51, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0225, loss_cls: 2.9966, loss_bbox: 1.6034, loss: 4.6699 +2022-09-02 01:08:21,191 - mmdet - INFO - Epoch [3][5450/7390] lr: 2.000e-02, eta: 6:22:35, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0231, loss_cls: 3.0008, loss_bbox: 1.6022, loss: 4.6746 +2022-09-02 01:08:37,856 - mmdet - INFO - Epoch [3][5500/7390] lr: 2.000e-02, eta: 6:22:18, time: 0.334, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0222, loss_cls: 2.9826, loss_bbox: 1.6080, loss: 4.6603 +2022-09-02 01:08:54,729 - mmdet - INFO - Epoch [3][5550/7390] lr: 2.000e-02, eta: 6:22:01, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0235, loss_cls: 3.0038, loss_bbox: 1.5936, loss: 4.6697 +2022-09-02 01:09:11,388 - mmdet - INFO - Epoch [3][5600/7390] lr: 2.000e-02, eta: 6:21:44, time: 0.334, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0231, loss_cls: 2.9895, loss_bbox: 1.5926, loss: 4.6539 +2022-09-02 01:09:28,719 - mmdet - INFO - Epoch [3][5650/7390] lr: 2.000e-02, eta: 6:21:29, time: 0.346, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0234, loss_cls: 3.0006, loss_bbox: 1.6014, loss: 4.6750 +2022-09-02 01:09:45,475 - mmdet - INFO - Epoch [3][5700/7390] lr: 2.000e-02, eta: 6:21:12, time: 0.335, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0221, loss_cls: 2.9793, loss_bbox: 1.5957, loss: 4.6449 +2022-09-02 01:10:02,489 - mmdet - INFO - Epoch [3][5750/7390] lr: 2.000e-02, eta: 6:20:56, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0224, loss_cls: 2.9727, loss_bbox: 1.5956, loss: 4.6378 +2022-09-02 01:10:19,592 - mmdet - INFO - Epoch [3][5800/7390] lr: 2.000e-02, eta: 6:20:41, time: 0.342, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0223, loss_cls: 2.9637, loss_bbox: 1.6006, loss: 4.6331 +2022-09-02 01:10:36,882 - mmdet - INFO - Epoch [3][5850/7390] lr: 2.000e-02, eta: 6:20:26, time: 0.346, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0233, loss_cls: 2.9777, loss_bbox: 1.5863, loss: 4.6362 +2022-09-02 01:10:53,584 - mmdet - INFO - Epoch [3][5900/7390] lr: 2.000e-02, eta: 6:20:09, time: 0.335, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0224, loss_cls: 2.9994, loss_bbox: 1.6070, loss: 4.6762 +2022-09-02 01:11:10,266 - mmdet - INFO - Epoch [3][5950/7390] lr: 2.000e-02, eta: 6:19:52, time: 0.333, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0218, loss_cls: 2.9748, loss_bbox: 1.6065, loss: 4.6495 +2022-09-02 01:11:26,757 - mmdet - INFO - Epoch [3][6000/7390] lr: 2.000e-02, eta: 6:19:34, time: 0.329, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0221, loss_cls: 2.9759, loss_bbox: 1.5969, loss: 4.6430 +2022-09-02 01:11:43,110 - mmdet - INFO - Epoch [3][6050/7390] lr: 2.000e-02, eta: 6:19:16, time: 0.327, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0226, loss_cls: 2.9693, loss_bbox: 1.6038, loss: 4.6438 +2022-09-02 01:11:59,911 - mmdet - INFO - Epoch [3][6100/7390] lr: 2.000e-02, eta: 6:18:59, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0226, loss_cls: 2.9717, loss_bbox: 1.5875, loss: 4.6310 +2022-09-02 01:12:16,980 - mmdet - INFO - Epoch [3][6150/7390] lr: 2.000e-02, eta: 6:18:43, time: 0.342, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0226, loss_cls: 2.9682, loss_bbox: 1.5942, loss: 4.6327 +2022-09-02 01:12:33,434 - mmdet - INFO - Epoch [3][6200/7390] lr: 2.000e-02, eta: 6:18:26, time: 0.329, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0218, loss_cls: 2.9646, loss_bbox: 1.6001, loss: 4.6336 +2022-09-02 01:12:50,500 - mmdet - INFO - Epoch [3][6250/7390] lr: 2.000e-02, eta: 6:18:10, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0226, loss_cls: 2.9738, loss_bbox: 1.5961, loss: 4.6401 +2022-09-02 01:13:06,821 - mmdet - INFO - Epoch [3][6300/7390] lr: 2.000e-02, eta: 6:17:52, time: 0.326, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0222, loss_cls: 2.9592, loss_bbox: 1.5843, loss: 4.6133 +2022-09-02 01:13:23,759 - mmdet - INFO - Epoch [3][6350/7390] lr: 2.000e-02, eta: 6:17:35, time: 0.339, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0227, loss_cls: 2.9941, loss_bbox: 1.6091, loss: 4.6730 +2022-09-02 01:13:40,061 - mmdet - INFO - Epoch [3][6400/7390] lr: 2.000e-02, eta: 6:17:17, time: 0.326, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0218, loss_cls: 2.9561, loss_bbox: 1.6026, loss: 4.6270 +2022-09-02 01:13:56,819 - mmdet - INFO - Epoch [3][6450/7390] lr: 2.000e-02, eta: 6:17:00, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0226, loss_cls: 2.9728, loss_bbox: 1.5880, loss: 4.6309 +2022-09-02 01:14:13,820 - mmdet - INFO - Epoch [3][6500/7390] lr: 2.000e-02, eta: 6:16:44, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0226, loss_cls: 2.9537, loss_bbox: 1.5918, loss: 4.6169 +2022-09-02 01:14:30,852 - mmdet - INFO - Epoch [3][6550/7390] lr: 2.000e-02, eta: 6:16:28, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0233, loss_cls: 2.9844, loss_bbox: 1.5927, loss: 4.6488 +2022-09-02 01:14:48,017 - mmdet - INFO - Epoch [3][6600/7390] lr: 2.000e-02, eta: 6:16:13, time: 0.344, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0230, loss_cls: 2.9864, loss_bbox: 1.6022, loss: 4.6595 +2022-09-02 01:15:04,736 - mmdet - INFO - Epoch [3][6650/7390] lr: 2.000e-02, eta: 6:15:56, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0218, loss_cls: 2.9897, loss_bbox: 1.5968, loss: 4.6545 +2022-09-02 01:15:21,901 - mmdet - INFO - Epoch [3][6700/7390] lr: 2.000e-02, eta: 6:15:40, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0231, loss_cls: 2.9804, loss_bbox: 1.6012, loss: 4.6536 +2022-09-02 01:15:38,333 - mmdet - INFO - Epoch [3][6750/7390] lr: 2.000e-02, eta: 6:15:22, time: 0.328, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.9643, loss_bbox: 1.5973, loss: 4.6301 +2022-09-02 01:15:54,917 - mmdet - INFO - Epoch [3][6800/7390] lr: 2.000e-02, eta: 6:15:05, time: 0.332, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0225, loss_cls: 2.9688, loss_bbox: 1.5933, loss: 4.6335 +2022-09-02 01:16:11,112 - mmdet - INFO - Epoch [3][6850/7390] lr: 2.000e-02, eta: 6:14:46, time: 0.323, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0220, loss_cls: 2.9781, loss_bbox: 1.5974, loss: 4.6457 +2022-09-02 01:16:28,285 - mmdet - INFO - Epoch [3][6900/7390] lr: 2.000e-02, eta: 6:14:31, time: 0.344, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0231, loss_cls: 3.0040, loss_bbox: 1.5925, loss: 4.6673 +2022-09-02 01:16:45,545 - mmdet - INFO - Epoch [3][6950/7390] lr: 2.000e-02, eta: 6:14:16, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0228, loss_cls: 2.9805, loss_bbox: 1.5890, loss: 4.6397 +2022-09-02 01:17:02,535 - mmdet - INFO - Epoch [3][7000/7390] lr: 2.000e-02, eta: 6:14:00, time: 0.339, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0226, loss_cls: 2.9816, loss_bbox: 1.5977, loss: 4.6500 +2022-09-02 01:17:19,394 - mmdet - INFO - Epoch [3][7050/7390] lr: 2.000e-02, eta: 6:13:43, time: 0.338, data_time: 0.011, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9700, loss_bbox: 1.5965, loss: 4.6353 +2022-09-02 01:17:36,599 - mmdet - INFO - Epoch [3][7100/7390] lr: 2.000e-02, eta: 6:13:28, time: 0.344, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9656, loss_bbox: 1.6034, loss: 4.6380 +2022-09-02 01:17:53,328 - mmdet - INFO - Epoch [3][7150/7390] lr: 2.000e-02, eta: 6:13:11, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0215, loss_cls: 2.9598, loss_bbox: 1.6014, loss: 4.6292 +2022-09-02 01:18:10,196 - mmdet - INFO - Epoch [3][7200/7390] lr: 2.000e-02, eta: 6:12:54, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0223, loss_cls: 2.9774, loss_bbox: 1.5965, loss: 4.6439 +2022-09-02 01:18:26,607 - mmdet - INFO - Epoch [3][7250/7390] lr: 2.000e-02, eta: 6:12:36, time: 0.328, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0223, loss_cls: 2.9871, loss_bbox: 1.5889, loss: 4.6457 +2022-09-02 01:18:43,445 - mmdet - INFO - Epoch [3][7300/7390] lr: 2.000e-02, eta: 6:12:20, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0221, loss_cls: 2.9714, loss_bbox: 1.5964, loss: 4.6370 +2022-09-02 01:19:00,339 - mmdet - INFO - Epoch [3][7350/7390] lr: 2.000e-02, eta: 6:12:04, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.9787, loss_bbox: 1.6097, loss: 4.6573 +2022-09-02 01:19:13,928 - mmdet - INFO - Saving checkpoint at 3 epochs +2022-09-02 01:19:35,311 - mmdet - INFO - Epoch [4][50/7390] lr: 2.000e-02, eta: 6:11:03, time: 0.398, data_time: 0.072, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0223, loss_cls: 2.9894, loss_bbox: 1.5780, loss: 4.6365 +2022-09-02 01:19:52,330 - mmdet - INFO - Epoch [4][100/7390] lr: 2.000e-02, eta: 6:10:47, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0229, loss_cls: 2.9737, loss_bbox: 1.5963, loss: 4.6417 +2022-09-02 01:20:09,127 - mmdet - INFO - Epoch [4][150/7390] lr: 2.000e-02, eta: 6:10:30, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0226, loss_cls: 2.9796, loss_bbox: 1.5963, loss: 4.6455 +2022-09-02 01:20:26,080 - mmdet - INFO - Epoch [4][200/7390] lr: 2.000e-02, eta: 6:10:14, time: 0.340, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0228, loss_cls: 2.9704, loss_bbox: 1.6008, loss: 4.6423 +2022-09-02 01:20:42,377 - mmdet - INFO - Epoch [4][250/7390] lr: 2.000e-02, eta: 6:09:56, time: 0.326, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0222, loss_cls: 2.9530, loss_bbox: 1.5978, loss: 4.6204 +2022-09-02 01:20:58,719 - mmdet - INFO - Epoch [4][300/7390] lr: 2.000e-02, eta: 6:09:38, time: 0.327, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0216, loss_cls: 2.9602, loss_bbox: 1.5838, loss: 4.6121 +2022-09-02 01:21:15,878 - mmdet - INFO - Epoch [4][350/7390] lr: 2.000e-02, eta: 6:09:22, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0223, loss_cls: 2.9574, loss_bbox: 1.5905, loss: 4.6179 +2022-09-02 01:21:32,604 - mmdet - INFO - Epoch [4][400/7390] lr: 2.000e-02, eta: 6:09:06, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0224, loss_cls: 2.9704, loss_bbox: 1.5837, loss: 4.6234 +2022-09-02 01:21:49,237 - mmdet - INFO - Epoch [4][450/7390] lr: 2.000e-02, eta: 6:08:48, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0217, loss_cls: 2.9516, loss_bbox: 1.5993, loss: 4.6184 +2022-09-02 01:22:06,319 - mmdet - INFO - Epoch [4][500/7390] lr: 2.000e-02, eta: 6:08:33, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0230, loss_cls: 2.9716, loss_bbox: 1.6019, loss: 4.6451 +2022-09-02 01:22:23,059 - mmdet - INFO - Epoch [4][550/7390] lr: 2.000e-02, eta: 6:08:16, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0214, loss_cls: 2.9476, loss_bbox: 1.5909, loss: 4.6061 +2022-09-02 01:22:40,347 - mmdet - INFO - Epoch [4][600/7390] lr: 2.000e-02, eta: 6:08:01, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0229, loss_cls: 2.9874, loss_bbox: 1.5947, loss: 4.6537 +2022-09-02 01:22:57,432 - mmdet - INFO - Epoch [4][650/7390] lr: 2.000e-02, eta: 6:07:45, time: 0.342, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0217, loss_cls: 2.9699, loss_bbox: 1.6045, loss: 4.6429 +2022-09-02 01:23:14,535 - mmdet - INFO - Epoch [4][700/7390] lr: 2.000e-02, eta: 6:07:29, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0230, loss_cls: 2.9848, loss_bbox: 1.5980, loss: 4.6545 +2022-09-02 01:23:31,402 - mmdet - INFO - Epoch [4][750/7390] lr: 2.000e-02, eta: 6:07:13, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0226, loss_cls: 2.9689, loss_bbox: 1.5822, loss: 4.6216 +2022-09-02 01:23:48,504 - mmdet - INFO - Epoch [4][800/7390] lr: 2.000e-02, eta: 6:06:57, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0228, loss_cls: 2.9729, loss_bbox: 1.5902, loss: 4.6349 +2022-09-02 01:24:05,213 - mmdet - INFO - Epoch [4][850/7390] lr: 2.000e-02, eta: 6:06:40, time: 0.333, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.9474, loss_bbox: 1.5949, loss: 4.6112 +2022-09-02 01:24:21,786 - mmdet - INFO - Epoch [4][900/7390] lr: 2.000e-02, eta: 6:06:23, time: 0.332, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0221, loss_cls: 2.9626, loss_bbox: 1.5979, loss: 4.6303 +2022-09-02 01:24:38,754 - mmdet - INFO - Epoch [4][950/7390] lr: 2.000e-02, eta: 6:06:07, time: 0.339, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0228, loss_cls: 2.9710, loss_bbox: 1.5974, loss: 4.6397 +2022-09-02 01:24:55,819 - mmdet - INFO - Epoch [4][1000/7390] lr: 2.000e-02, eta: 6:05:51, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0232, loss_cls: 2.9555, loss_bbox: 1.5815, loss: 4.6094 +2022-09-02 01:25:12,665 - mmdet - INFO - Epoch [4][1050/7390] lr: 2.000e-02, eta: 6:05:34, time: 0.337, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9675, loss_bbox: 1.5875, loss: 4.6242 +2022-09-02 01:25:29,576 - mmdet - INFO - Epoch [4][1100/7390] lr: 2.000e-02, eta: 6:05:18, time: 0.338, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0222, loss_cls: 2.9363, loss_bbox: 1.5861, loss: 4.5921 +2022-09-02 01:25:46,569 - mmdet - INFO - Epoch [4][1150/7390] lr: 2.000e-02, eta: 6:05:02, time: 0.341, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0227, loss_cls: 2.9600, loss_bbox: 1.5870, loss: 4.6171 +2022-09-02 01:26:03,855 - mmdet - INFO - Epoch [4][1200/7390] lr: 2.000e-02, eta: 6:04:47, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0232, loss_cls: 2.9794, loss_bbox: 1.5914, loss: 4.6433 +2022-09-02 01:26:20,617 - mmdet - INFO - Epoch [4][1250/7390] lr: 2.000e-02, eta: 6:04:30, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0231, loss_cls: 2.9725, loss_bbox: 1.5922, loss: 4.6365 +2022-09-02 01:26:37,478 - mmdet - INFO - Epoch [4][1300/7390] lr: 2.000e-02, eta: 6:04:13, time: 0.337, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0227, loss_cls: 2.9720, loss_bbox: 1.6012, loss: 4.6442 +2022-09-02 01:26:54,061 - mmdet - INFO - Epoch [4][1350/7390] lr: 2.000e-02, eta: 6:03:56, time: 0.332, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0221, loss_cls: 2.9560, loss_bbox: 1.5856, loss: 4.6108 +2022-09-02 01:27:10,643 - mmdet - INFO - Epoch [4][1400/7390] lr: 2.000e-02, eta: 6:03:39, time: 0.332, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0224, loss_cls: 2.9628, loss_bbox: 1.5924, loss: 4.6247 +2022-09-02 01:27:27,086 - mmdet - INFO - Epoch [4][1450/7390] lr: 2.000e-02, eta: 6:03:21, time: 0.329, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.9628, loss_bbox: 1.6000, loss: 4.6306 +2022-09-02 01:27:43,718 - mmdet - INFO - Epoch [4][1500/7390] lr: 2.000e-02, eta: 6:03:04, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0225, loss_cls: 2.9583, loss_bbox: 1.5981, loss: 4.6265 +2022-09-02 01:28:00,509 - mmdet - INFO - Epoch [4][1550/7390] lr: 2.000e-02, eta: 6:02:48, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0225, loss_cls: 2.9503, loss_bbox: 1.5806, loss: 4.6008 +2022-09-02 01:28:17,060 - mmdet - INFO - Epoch [4][1600/7390] lr: 2.000e-02, eta: 6:02:30, time: 0.331, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0218, loss_cls: 2.9644, loss_bbox: 1.5866, loss: 4.6193 +2022-09-02 01:28:33,435 - mmdet - INFO - Epoch [4][1650/7390] lr: 2.000e-02, eta: 6:02:12, time: 0.328, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0222, loss_cls: 2.9434, loss_bbox: 1.5851, loss: 4.5987 +2022-09-02 01:28:50,653 - mmdet - INFO - Epoch [4][1700/7390] lr: 2.000e-02, eta: 6:01:57, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0227, loss_cls: 2.9583, loss_bbox: 1.5882, loss: 4.6182 +2022-09-02 01:29:07,428 - mmdet - INFO - Epoch [4][1750/7390] lr: 2.000e-02, eta: 6:01:40, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0224, loss_cls: 2.9550, loss_bbox: 1.5885, loss: 4.6132 +2022-09-02 01:29:24,504 - mmdet - INFO - Epoch [4][1800/7390] lr: 2.000e-02, eta: 6:01:24, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0223, loss_cls: 2.9471, loss_bbox: 1.5944, loss: 4.6101 +2022-09-02 01:29:41,737 - mmdet - INFO - Epoch [4][1850/7390] lr: 2.000e-02, eta: 6:01:09, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0231, loss_cls: 2.9704, loss_bbox: 1.5854, loss: 4.6279 +2022-09-02 01:29:58,950 - mmdet - INFO - Epoch [4][1900/7390] lr: 2.000e-02, eta: 6:00:53, time: 0.345, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0224, loss_cls: 2.9724, loss_bbox: 1.5992, loss: 4.6415 +2022-09-02 01:30:16,021 - mmdet - INFO - Epoch [4][1950/7390] lr: 2.000e-02, eta: 6:00:37, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0228, loss_cls: 2.9667, loss_bbox: 1.5912, loss: 4.6285 +2022-09-02 01:30:32,918 - mmdet - INFO - Epoch [4][2000/7390] lr: 2.000e-02, eta: 6:00:21, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0227, loss_cls: 2.9695, loss_bbox: 1.5939, loss: 4.6342 +2022-09-02 01:30:49,579 - mmdet - INFO - Epoch [4][2050/7390] lr: 2.000e-02, eta: 6:00:04, time: 0.333, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0222, loss_cls: 2.9638, loss_bbox: 1.5835, loss: 4.6169 +2022-09-02 01:31:06,724 - mmdet - INFO - Epoch [4][2100/7390] lr: 2.000e-02, eta: 5:59:48, time: 0.343, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0227, loss_cls: 2.9654, loss_bbox: 1.5979, loss: 4.6341 +2022-09-02 01:31:23,905 - mmdet - INFO - Epoch [4][2150/7390] lr: 2.000e-02, eta: 5:59:33, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0224, loss_cls: 2.9529, loss_bbox: 1.5755, loss: 4.5975 +2022-09-02 01:31:40,908 - mmdet - INFO - Epoch [4][2200/7390] lr: 2.000e-02, eta: 5:59:17, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0222, loss_cls: 2.9590, loss_bbox: 1.5975, loss: 4.6250 +2022-09-02 01:31:58,286 - mmdet - INFO - Epoch [4][2250/7390] lr: 2.000e-02, eta: 5:59:01, time: 0.347, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0226, loss_cls: 2.9538, loss_bbox: 1.5881, loss: 4.6121 +2022-09-02 01:32:15,068 - mmdet - INFO - Epoch [4][2300/7390] lr: 2.000e-02, eta: 5:58:45, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0221, loss_cls: 2.9788, loss_bbox: 1.5939, loss: 4.6424 +2022-09-02 01:32:31,664 - mmdet - INFO - Epoch [4][2350/7390] lr: 2.000e-02, eta: 5:58:28, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0223, loss_cls: 2.9542, loss_bbox: 1.5874, loss: 4.6113 +2022-09-02 01:32:48,490 - mmdet - INFO - Epoch [4][2400/7390] lr: 2.000e-02, eta: 5:58:11, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9531, loss_bbox: 1.5920, loss: 4.6141 +2022-09-02 01:33:05,926 - mmdet - INFO - Epoch [4][2450/7390] lr: 2.000e-02, eta: 5:57:56, time: 0.349, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0228, loss_cls: 2.9753, loss_bbox: 1.5895, loss: 4.6351 +2022-09-02 01:33:23,236 - mmdet - INFO - Epoch [4][2500/7390] lr: 2.000e-02, eta: 5:57:41, time: 0.346, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0231, loss_cls: 2.9695, loss_bbox: 1.5849, loss: 4.6255 +2022-09-02 01:33:39,913 - mmdet - INFO - Epoch [4][2550/7390] lr: 2.000e-02, eta: 5:57:24, time: 0.334, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0220, loss_cls: 2.9644, loss_bbox: 1.5917, loss: 4.6248 +2022-09-02 01:33:56,740 - mmdet - INFO - Epoch [4][2600/7390] lr: 2.000e-02, eta: 5:57:07, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0222, loss_cls: 2.9576, loss_bbox: 1.5881, loss: 4.6140 +2022-09-02 01:34:13,684 - mmdet - INFO - Epoch [4][2650/7390] lr: 2.000e-02, eta: 5:56:51, time: 0.339, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0230, loss_cls: 2.9830, loss_bbox: 1.5920, loss: 4.6465 +2022-09-02 01:34:30,504 - mmdet - INFO - Epoch [4][2700/7390] lr: 2.000e-02, eta: 5:56:34, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0227, loss_cls: 2.9714, loss_bbox: 1.5885, loss: 4.6309 +2022-09-02 01:34:46,935 - mmdet - INFO - Epoch [4][2750/7390] lr: 2.000e-02, eta: 5:56:16, time: 0.328, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.9346, loss_bbox: 1.5814, loss: 4.5850 +2022-09-02 01:35:03,950 - mmdet - INFO - Epoch [4][2800/7390] lr: 2.000e-02, eta: 5:56:00, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9561, loss_bbox: 1.5927, loss: 4.6183 +2022-09-02 01:35:20,642 - mmdet - INFO - Epoch [4][2850/7390] lr: 2.000e-02, eta: 5:55:43, time: 0.334, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0224, loss_cls: 2.9573, loss_bbox: 1.5935, loss: 4.6205 +2022-09-02 01:35:37,541 - mmdet - INFO - Epoch [4][2900/7390] lr: 2.000e-02, eta: 5:55:27, time: 0.338, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0224, loss_cls: 2.9608, loss_bbox: 1.5886, loss: 4.6188 +2022-09-02 01:35:55,082 - mmdet - INFO - Epoch [4][2950/7390] lr: 2.000e-02, eta: 5:55:12, time: 0.351, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0229, loss_cls: 2.9708, loss_bbox: 1.5806, loss: 4.6222 +2022-09-02 01:36:11,988 - mmdet - INFO - Epoch [4][3000/7390] lr: 2.000e-02, eta: 5:54:56, time: 0.338, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0226, loss_cls: 2.9708, loss_bbox: 1.5869, loss: 4.6274 +2022-09-02 01:36:29,156 - mmdet - INFO - Epoch [4][3050/7390] lr: 2.000e-02, eta: 5:54:40, time: 0.344, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0224, loss_cls: 2.9481, loss_bbox: 1.5928, loss: 4.6115 +2022-09-02 01:36:46,333 - mmdet - INFO - Epoch [4][3100/7390] lr: 2.000e-02, eta: 5:54:24, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0228, loss_cls: 2.9608, loss_bbox: 1.5918, loss: 4.6229 +2022-09-02 01:37:02,906 - mmdet - INFO - Epoch [4][3150/7390] lr: 2.000e-02, eta: 5:54:07, time: 0.331, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0223, loss_cls: 2.9498, loss_bbox: 1.5875, loss: 4.6068 +2022-09-02 01:37:20,027 - mmdet - INFO - Epoch [4][3200/7390] lr: 2.000e-02, eta: 5:53:51, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0221, loss_cls: 2.9583, loss_bbox: 1.5865, loss: 4.6139 +2022-09-02 01:37:36,821 - mmdet - INFO - Epoch [4][3250/7390] lr: 2.000e-02, eta: 5:53:34, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0227, loss_cls: 2.9659, loss_bbox: 1.5916, loss: 4.6282 +2022-09-02 01:37:54,064 - mmdet - INFO - Epoch [4][3300/7390] lr: 2.000e-02, eta: 5:53:19, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0230, loss_cls: 2.9627, loss_bbox: 1.5925, loss: 4.6266 +2022-09-02 01:38:10,912 - mmdet - INFO - Epoch [4][3350/7390] lr: 2.000e-02, eta: 5:53:02, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0224, loss_cls: 2.9641, loss_bbox: 1.5924, loss: 4.6262 +2022-09-02 01:38:27,328 - mmdet - INFO - Epoch [4][3400/7390] lr: 2.000e-02, eta: 5:52:45, time: 0.329, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0219, loss_cls: 2.9492, loss_bbox: 1.5880, loss: 4.6065 +2022-09-02 01:38:43,687 - mmdet - INFO - Epoch [4][3450/7390] lr: 2.000e-02, eta: 5:52:27, time: 0.327, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0216, loss_cls: 2.9487, loss_bbox: 1.5913, loss: 4.6081 +2022-09-02 01:39:00,477 - mmdet - INFO - Epoch [4][3500/7390] lr: 2.000e-02, eta: 5:52:10, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0221, loss_cls: 2.9628, loss_bbox: 1.5951, loss: 4.6270 +2022-09-02 01:39:17,532 - mmdet - INFO - Epoch [4][3550/7390] lr: 2.000e-02, eta: 5:51:54, time: 0.342, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0224, loss_cls: 2.9471, loss_bbox: 1.5882, loss: 4.6044 +2022-09-02 01:39:34,908 - mmdet - INFO - Epoch [4][3600/7390] lr: 2.000e-02, eta: 5:51:39, time: 0.347, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0227, loss_cls: 2.9613, loss_bbox: 1.5822, loss: 4.6147 +2022-09-02 01:39:51,670 - mmdet - INFO - Epoch [4][3650/7390] lr: 2.000e-02, eta: 5:51:22, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.9608, loss_bbox: 1.5920, loss: 4.6217 +2022-09-02 01:40:08,293 - mmdet - INFO - Epoch [4][3700/7390] lr: 2.000e-02, eta: 5:51:05, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0226, loss_cls: 2.9645, loss_bbox: 1.5883, loss: 4.6230 +2022-09-02 01:40:24,939 - mmdet - INFO - Epoch [4][3750/7390] lr: 2.000e-02, eta: 5:50:48, time: 0.333, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0224, loss_cls: 2.9773, loss_bbox: 1.5910, loss: 4.6387 +2022-09-02 01:40:41,550 - mmdet - INFO - Epoch [4][3800/7390] lr: 2.000e-02, eta: 5:50:31, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0225, loss_cls: 2.9749, loss_bbox: 1.5771, loss: 4.6216 +2022-09-02 01:40:57,962 - mmdet - INFO - Epoch [4][3850/7390] lr: 2.000e-02, eta: 5:50:13, time: 0.328, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0222, loss_cls: 2.9520, loss_bbox: 1.5925, loss: 4.6142 +2022-09-02 01:41:14,584 - mmdet - INFO - Epoch [4][3900/7390] lr: 2.000e-02, eta: 5:49:56, time: 0.333, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0226, loss_cls: 2.9611, loss_bbox: 1.5888, loss: 4.6203 +2022-09-02 01:41:30,873 - mmdet - INFO - Epoch [4][3950/7390] lr: 2.000e-02, eta: 5:49:38, time: 0.326, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0217, loss_cls: 2.9447, loss_bbox: 1.5926, loss: 4.6056 +2022-09-02 01:41:47,703 - mmdet - INFO - Epoch [4][4000/7390] lr: 2.000e-02, eta: 5:49:21, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0225, loss_cls: 2.9523, loss_bbox: 1.5788, loss: 4.6009 +2022-09-02 01:42:04,394 - mmdet - INFO - Epoch [4][4050/7390] lr: 2.000e-02, eta: 5:49:04, time: 0.334, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.9618, loss_bbox: 1.5827, loss: 4.6133 +2022-09-02 01:42:21,626 - mmdet - INFO - Epoch [4][4100/7390] lr: 2.000e-02, eta: 5:48:49, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0227, loss_cls: 2.9604, loss_bbox: 1.5817, loss: 4.6125 +2022-09-02 01:42:38,267 - mmdet - INFO - Epoch [4][4150/7390] lr: 2.000e-02, eta: 5:48:32, time: 0.334, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0223, loss_cls: 2.9577, loss_bbox: 1.5936, loss: 4.6212 +2022-09-02 01:42:54,843 - mmdet - INFO - Epoch [4][4200/7390] lr: 2.000e-02, eta: 5:48:14, time: 0.331, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0222, loss_cls: 2.9512, loss_bbox: 1.5913, loss: 4.6118 +2022-09-02 01:43:12,088 - mmdet - INFO - Epoch [4][4250/7390] lr: 2.000e-02, eta: 5:47:59, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0220, loss_cls: 2.9486, loss_bbox: 1.5805, loss: 4.5981 +2022-09-02 01:43:29,003 - mmdet - INFO - Epoch [4][4300/7390] lr: 2.000e-02, eta: 5:47:42, time: 0.339, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0219, loss_cls: 2.9455, loss_bbox: 1.5838, loss: 4.5975 +2022-09-02 01:43:45,827 - mmdet - INFO - Epoch [4][4350/7390] lr: 2.000e-02, eta: 5:47:26, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0219, loss_cls: 2.9712, loss_bbox: 1.5870, loss: 4.6267 +2022-09-02 01:44:02,624 - mmdet - INFO - Epoch [4][4400/7390] lr: 2.000e-02, eta: 5:47:09, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0224, loss_cls: 2.9653, loss_bbox: 1.5776, loss: 4.6127 +2022-09-02 01:44:19,377 - mmdet - INFO - Epoch [4][4450/7390] lr: 2.000e-02, eta: 5:46:52, time: 0.335, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0219, loss_cls: 2.9511, loss_bbox: 1.5890, loss: 4.6089 +2022-09-02 01:44:36,161 - mmdet - INFO - Epoch [4][4500/7390] lr: 2.000e-02, eta: 5:46:35, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0227, loss_cls: 2.9619, loss_bbox: 1.5844, loss: 4.6166 +2022-09-02 01:44:53,010 - mmdet - INFO - Epoch [4][4550/7390] lr: 2.000e-02, eta: 5:46:19, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0227, loss_cls: 2.9583, loss_bbox: 1.5832, loss: 4.6120 +2022-09-02 01:45:09,967 - mmdet - INFO - Epoch [4][4600/7390] lr: 2.000e-02, eta: 5:46:03, time: 0.339, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0225, loss_cls: 2.9738, loss_bbox: 1.5907, loss: 4.6342 +2022-09-02 01:45:27,293 - mmdet - INFO - Epoch [4][4650/7390] lr: 2.000e-02, eta: 5:45:47, time: 0.346, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0228, loss_cls: 2.9655, loss_bbox: 1.5779, loss: 4.6134 +2022-09-02 01:45:44,369 - mmdet - INFO - Epoch [4][4700/7390] lr: 2.000e-02, eta: 5:45:31, time: 0.342, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0229, loss_cls: 2.9450, loss_bbox: 1.5772, loss: 4.5931 +2022-09-02 01:46:01,310 - mmdet - INFO - Epoch [4][4750/7390] lr: 2.000e-02, eta: 5:45:15, time: 0.339, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0230, loss_cls: 2.9727, loss_bbox: 1.5911, loss: 4.6354 +2022-09-02 01:46:18,300 - mmdet - INFO - Epoch [4][4800/7390] lr: 2.000e-02, eta: 5:44:58, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.9507, loss_bbox: 1.5917, loss: 4.6114 +2022-09-02 01:46:35,024 - mmdet - INFO - Epoch [4][4850/7390] lr: 2.000e-02, eta: 5:44:42, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0228, loss_cls: 2.9629, loss_bbox: 1.5816, loss: 4.6153 +2022-09-02 01:46:52,077 - mmdet - INFO - Epoch [4][4900/7390] lr: 2.000e-02, eta: 5:44:25, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0226, loss_cls: 2.9559, loss_bbox: 1.5754, loss: 4.6022 +2022-09-02 01:47:09,086 - mmdet - INFO - Epoch [4][4950/7390] lr: 2.000e-02, eta: 5:44:09, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.9528, loss_bbox: 1.5840, loss: 4.6057 +2022-09-02 01:47:25,702 - mmdet - INFO - Epoch [4][5000/7390] lr: 2.000e-02, eta: 5:43:52, time: 0.333, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0224, loss_cls: 2.9513, loss_bbox: 1.5808, loss: 4.6017 +2022-09-02 01:47:42,432 - mmdet - INFO - Epoch [4][5050/7390] lr: 2.000e-02, eta: 5:43:35, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0218, loss_cls: 2.9435, loss_bbox: 1.5810, loss: 4.5932 +2022-09-02 01:47:59,430 - mmdet - INFO - Epoch [4][5100/7390] lr: 2.000e-02, eta: 5:43:19, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0218, loss_cls: 2.9407, loss_bbox: 1.5892, loss: 4.5982 +2022-09-02 01:48:15,648 - mmdet - INFO - Epoch [4][5150/7390] lr: 2.000e-02, eta: 5:43:01, time: 0.324, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0218, loss_cls: 2.9398, loss_bbox: 1.5822, loss: 4.5899 +2022-09-02 01:48:32,400 - mmdet - INFO - Epoch [4][5200/7390] lr: 2.000e-02, eta: 5:42:44, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0226, loss_cls: 2.9735, loss_bbox: 1.5795, loss: 4.6228 +2022-09-02 01:48:49,117 - mmdet - INFO - Epoch [4][5250/7390] lr: 2.000e-02, eta: 5:42:27, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0221, loss_cls: 2.9600, loss_bbox: 1.5824, loss: 4.6125 +2022-09-02 01:49:05,664 - mmdet - INFO - Epoch [4][5300/7390] lr: 2.000e-02, eta: 5:42:10, time: 0.331, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0219, loss_cls: 2.9486, loss_bbox: 1.5876, loss: 4.6050 +2022-09-02 01:49:22,755 - mmdet - INFO - Epoch [4][5350/7390] lr: 2.000e-02, eta: 5:41:54, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0224, loss_cls: 2.9602, loss_bbox: 1.5788, loss: 4.6093 +2022-09-02 01:49:39,595 - mmdet - INFO - Epoch [4][5400/7390] lr: 2.000e-02, eta: 5:41:37, time: 0.337, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0226, loss_cls: 2.9596, loss_bbox: 1.5756, loss: 4.6057 +2022-09-02 01:49:56,703 - mmdet - INFO - Epoch [4][5450/7390] lr: 2.000e-02, eta: 5:41:21, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0228, loss_cls: 2.9542, loss_bbox: 1.5789, loss: 4.6042 +2022-09-02 01:50:13,468 - mmdet - INFO - Epoch [4][5500/7390] lr: 2.000e-02, eta: 5:41:04, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0225, loss_cls: 2.9610, loss_bbox: 1.5921, loss: 4.6234 +2022-09-02 01:50:30,875 - mmdet - INFO - Epoch [4][5550/7390] lr: 2.000e-02, eta: 5:40:49, time: 0.348, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0226, loss_cls: 2.9606, loss_bbox: 1.5894, loss: 4.6196 +2022-09-02 01:50:47,598 - mmdet - INFO - Epoch [4][5600/7390] lr: 2.000e-02, eta: 5:40:32, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0218, loss_cls: 2.9477, loss_bbox: 1.5800, loss: 4.5969 +2022-09-02 01:51:04,393 - mmdet - INFO - Epoch [4][5650/7390] lr: 2.000e-02, eta: 5:40:15, time: 0.336, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0218, loss_cls: 2.9769, loss_bbox: 1.5943, loss: 4.6398 +2022-09-02 01:51:21,353 - mmdet - INFO - Epoch [4][5700/7390] lr: 2.000e-02, eta: 5:39:59, time: 0.339, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0223, loss_cls: 2.9664, loss_bbox: 1.5824, loss: 4.6184 +2022-09-02 01:51:38,568 - mmdet - INFO - Epoch [4][5750/7390] lr: 2.000e-02, eta: 5:39:43, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0225, loss_cls: 2.9437, loss_bbox: 1.5843, loss: 4.5982 +2022-09-02 01:51:55,587 - mmdet - INFO - Epoch [4][5800/7390] lr: 2.000e-02, eta: 5:39:27, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.9374, loss_bbox: 1.5806, loss: 4.5860 +2022-09-02 01:52:12,443 - mmdet - INFO - Epoch [4][5850/7390] lr: 2.000e-02, eta: 5:39:10, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0218, loss_cls: 2.9490, loss_bbox: 1.5942, loss: 4.6117 +2022-09-02 01:52:29,337 - mmdet - INFO - Epoch [4][5900/7390] lr: 2.000e-02, eta: 5:38:54, time: 0.338, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0226, loss_cls: 2.9836, loss_bbox: 1.5901, loss: 4.6443 +2022-09-02 01:52:46,412 - mmdet - INFO - Epoch [4][5950/7390] lr: 2.000e-02, eta: 5:38:38, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0225, loss_cls: 2.9661, loss_bbox: 1.5826, loss: 4.6185 +2022-09-02 01:53:02,982 - mmdet - INFO - Epoch [4][6000/7390] lr: 2.000e-02, eta: 5:38:21, time: 0.331, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0218, loss_cls: 2.9642, loss_bbox: 1.5754, loss: 4.6082 +2022-09-02 01:53:20,093 - mmdet - INFO - Epoch [4][6050/7390] lr: 2.000e-02, eta: 5:38:05, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0225, loss_cls: 2.9490, loss_bbox: 1.5744, loss: 4.5935 +2022-09-02 01:53:36,872 - mmdet - INFO - Epoch [4][6100/7390] lr: 2.000e-02, eta: 5:37:48, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0224, loss_cls: 2.9368, loss_bbox: 1.5771, loss: 4.5837 +2022-09-02 01:53:53,979 - mmdet - INFO - Epoch [4][6150/7390] lr: 2.000e-02, eta: 5:37:32, time: 0.343, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0230, loss_cls: 2.9512, loss_bbox: 1.5832, loss: 4.6063 +2022-09-02 01:54:10,723 - mmdet - INFO - Epoch [4][6200/7390] lr: 2.000e-02, eta: 5:37:15, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0217, loss_cls: 2.9457, loss_bbox: 1.5757, loss: 4.5891 +2022-09-02 01:54:27,988 - mmdet - INFO - Epoch [4][6250/7390] lr: 2.000e-02, eta: 5:36:59, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9431, loss_bbox: 1.5894, loss: 4.6012 +2022-09-02 01:54:44,590 - mmdet - INFO - Epoch [4][6300/7390] lr: 2.000e-02, eta: 5:36:42, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0223, loss_cls: 2.9601, loss_bbox: 1.5775, loss: 4.6067 +2022-09-02 01:55:01,637 - mmdet - INFO - Epoch [4][6350/7390] lr: 2.000e-02, eta: 5:36:26, time: 0.341, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0223, loss_cls: 2.9552, loss_bbox: 1.5882, loss: 4.6125 +2022-09-02 01:55:18,422 - mmdet - INFO - Epoch [4][6400/7390] lr: 2.000e-02, eta: 5:36:09, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9468, loss_bbox: 1.5769, loss: 4.5918 +2022-09-02 01:55:35,678 - mmdet - INFO - Epoch [4][6450/7390] lr: 2.000e-02, eta: 5:35:53, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0223, loss_cls: 2.9385, loss_bbox: 1.5855, loss: 4.5937 +2022-09-02 01:55:52,557 - mmdet - INFO - Epoch [4][6500/7390] lr: 2.000e-02, eta: 5:35:37, time: 0.338, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0224, loss_cls: 2.9553, loss_bbox: 1.5865, loss: 4.6118 +2022-09-02 01:56:09,610 - mmdet - INFO - Epoch [4][6550/7390] lr: 2.000e-02, eta: 5:35:20, time: 0.342, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0222, loss_cls: 2.9488, loss_bbox: 1.5790, loss: 4.5965 +2022-09-02 01:56:26,442 - mmdet - INFO - Epoch [4][6600/7390] lr: 2.000e-02, eta: 5:35:04, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0223, loss_cls: 2.9602, loss_bbox: 1.5798, loss: 4.6099 +2022-09-02 01:56:43,070 - mmdet - INFO - Epoch [4][6650/7390] lr: 2.000e-02, eta: 5:34:47, time: 0.333, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0219, loss_cls: 2.9471, loss_bbox: 1.5726, loss: 4.5884 +2022-09-02 01:56:59,812 - mmdet - INFO - Epoch [4][6700/7390] lr: 2.000e-02, eta: 5:34:30, time: 0.334, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0220, loss_cls: 2.9262, loss_bbox: 1.5724, loss: 4.5676 +2022-09-02 01:57:16,736 - mmdet - INFO - Epoch [4][6750/7390] lr: 2.000e-02, eta: 5:34:13, time: 0.339, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0227, loss_cls: 2.9512, loss_bbox: 1.5889, loss: 4.6104 +2022-09-02 01:57:33,868 - mmdet - INFO - Epoch [4][6800/7390] lr: 2.000e-02, eta: 5:33:57, time: 0.343, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0225, loss_cls: 2.9504, loss_bbox: 1.5728, loss: 4.5922 +2022-09-02 01:57:50,630 - mmdet - INFO - Epoch [4][6850/7390] lr: 2.000e-02, eta: 5:33:40, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0218, loss_cls: 2.9503, loss_bbox: 1.5891, loss: 4.6080 +2022-09-02 01:58:07,037 - mmdet - INFO - Epoch [4][6900/7390] lr: 2.000e-02, eta: 5:33:23, time: 0.328, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.9534, loss_bbox: 1.5755, loss: 4.5980 +2022-09-02 01:58:23,622 - mmdet - INFO - Epoch [4][6950/7390] lr: 2.000e-02, eta: 5:33:06, time: 0.331, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9424, loss_bbox: 1.5865, loss: 4.5970 +2022-09-02 01:58:40,457 - mmdet - INFO - Epoch [4][7000/7390] lr: 2.000e-02, eta: 5:32:49, time: 0.337, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0224, loss_cls: 2.9580, loss_bbox: 1.5765, loss: 4.6036 +2022-09-02 01:58:57,274 - mmdet - INFO - Epoch [4][7050/7390] lr: 2.000e-02, eta: 5:32:32, time: 0.337, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0224, loss_cls: 2.9375, loss_bbox: 1.5833, loss: 4.5903 +2022-09-02 01:59:14,133 - mmdet - INFO - Epoch [4][7100/7390] lr: 2.000e-02, eta: 5:32:16, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0226, loss_cls: 2.9540, loss_bbox: 1.5786, loss: 4.6023 +2022-09-02 01:59:30,853 - mmdet - INFO - Epoch [4][7150/7390] lr: 2.000e-02, eta: 5:31:59, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0218, loss_cls: 2.9488, loss_bbox: 1.5789, loss: 4.5957 +2022-09-02 01:59:47,140 - mmdet - INFO - Epoch [4][7200/7390] lr: 2.000e-02, eta: 5:31:41, time: 0.326, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0212, loss_cls: 2.9370, loss_bbox: 1.5837, loss: 4.5871 +2022-09-02 02:00:03,923 - mmdet - INFO - Epoch [4][7250/7390] lr: 2.000e-02, eta: 5:31:24, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.9434, loss_bbox: 1.5836, loss: 4.5958 +2022-09-02 02:00:20,210 - mmdet - INFO - Epoch [4][7300/7390] lr: 2.000e-02, eta: 5:31:07, time: 0.327, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0214, loss_cls: 2.9333, loss_bbox: 1.5904, loss: 4.5913 +2022-09-02 02:00:37,195 - mmdet - INFO - Epoch [4][7350/7390] lr: 2.000e-02, eta: 5:30:50, time: 0.339, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9486, loss_bbox: 1.5821, loss: 4.5988 +2022-09-02 02:00:50,507 - mmdet - INFO - Saving checkpoint at 4 epochs +2022-09-02 02:01:11,289 - mmdet - INFO - Epoch [5][50/7390] lr: 2.000e-02, eta: 5:29:58, time: 0.387, data_time: 0.072, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0219, loss_cls: 2.9518, loss_bbox: 1.5812, loss: 4.6015 +2022-09-02 02:01:28,082 - mmdet - INFO - Epoch [5][100/7390] lr: 2.000e-02, eta: 5:29:42, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0221, loss_cls: 2.9270, loss_bbox: 1.5785, loss: 4.5749 +2022-09-02 02:01:44,279 - mmdet - INFO - Epoch [5][150/7390] lr: 2.000e-02, eta: 5:29:24, time: 0.324, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0221, loss_cls: 2.9458, loss_bbox: 1.5732, loss: 4.5883 +2022-09-02 02:02:01,206 - mmdet - INFO - Epoch [5][200/7390] lr: 2.000e-02, eta: 5:29:07, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0223, loss_cls: 2.9446, loss_bbox: 1.5753, loss: 4.5893 +2022-09-02 02:02:22,893 - mmdet - INFO - Epoch [5][250/7390] lr: 2.000e-02, eta: 5:29:00, time: 0.434, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0227, loss_cls: 2.9768, loss_bbox: 1.5844, loss: 4.6316 +2022-09-02 02:02:41,842 - mmdet - INFO - Epoch [5][300/7390] lr: 2.000e-02, eta: 5:28:48, time: 0.380, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0226, loss_cls: 2.9439, loss_bbox: 1.5802, loss: 4.5938 +2022-09-02 02:03:00,741 - mmdet - INFO - Epoch [5][350/7390] lr: 2.000e-02, eta: 5:28:35, time: 0.378, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0225, loss_cls: 2.9415, loss_bbox: 1.5801, loss: 4.5915 +2022-09-02 02:03:17,559 - mmdet - INFO - Epoch [5][400/7390] lr: 2.000e-02, eta: 5:28:19, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0225, loss_cls: 2.9124, loss_bbox: 1.5790, loss: 4.5610 +2022-09-02 02:03:36,892 - mmdet - INFO - Epoch [5][450/7390] lr: 2.000e-02, eta: 5:28:07, time: 0.386, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0231, loss_cls: 2.9553, loss_bbox: 1.5679, loss: 4.5942 +2022-09-02 02:03:53,808 - mmdet - INFO - Epoch [5][500/7390] lr: 2.000e-02, eta: 5:27:50, time: 0.339, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0227, loss_cls: 2.9502, loss_bbox: 1.5834, loss: 4.6037 +2022-09-02 02:04:10,250 - mmdet - INFO - Epoch [5][550/7390] lr: 2.000e-02, eta: 5:27:33, time: 0.329, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0217, loss_cls: 2.9249, loss_bbox: 1.5748, loss: 4.5676 +2022-09-02 02:04:29,555 - mmdet - INFO - Epoch [5][600/7390] lr: 2.000e-02, eta: 5:27:21, time: 0.386, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.9494, loss_bbox: 1.5818, loss: 4.6001 +2022-09-02 02:04:48,628 - mmdet - INFO - Epoch [5][650/7390] lr: 2.000e-02, eta: 5:27:09, time: 0.382, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0225, loss_cls: 2.9546, loss_bbox: 1.5779, loss: 4.6030 +2022-09-02 02:05:05,587 - mmdet - INFO - Epoch [5][700/7390] lr: 2.000e-02, eta: 5:26:52, time: 0.339, data_time: 0.008, memory: 4162, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0219, loss_cls: 2.9341, loss_bbox: 1.5869, loss: 4.5892 +2022-09-02 02:05:24,201 - mmdet - INFO - Epoch [5][750/7390] lr: 2.000e-02, eta: 5:26:39, time: 0.373, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0217, loss_cls: 2.9370, loss_bbox: 1.5850, loss: 4.5892 +2022-09-02 02:05:41,141 - mmdet - INFO - Epoch [5][800/7390] lr: 2.000e-02, eta: 5:26:22, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0228, loss_cls: 2.9617, loss_bbox: 1.5736, loss: 4.6058 +2022-09-02 02:05:58,049 - mmdet - INFO - Epoch [5][850/7390] lr: 2.000e-02, eta: 5:26:06, time: 0.338, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0219, loss_cls: 2.9169, loss_bbox: 1.5762, loss: 4.5612 +2022-09-02 02:06:14,552 - mmdet - INFO - Epoch [5][900/7390] lr: 2.000e-02, eta: 5:25:49, time: 0.331, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0219, loss_cls: 2.9381, loss_bbox: 1.5749, loss: 4.5815 +2022-09-02 02:06:31,832 - mmdet - INFO - Epoch [5][950/7390] lr: 2.000e-02, eta: 5:25:33, time: 0.346, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0223, loss_cls: 2.9456, loss_bbox: 1.5766, loss: 4.5917 +2022-09-02 02:06:48,858 - mmdet - INFO - Epoch [5][1000/7390] lr: 2.000e-02, eta: 5:25:16, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0227, loss_cls: 2.9386, loss_bbox: 1.5733, loss: 4.5821 +2022-09-02 02:07:05,842 - mmdet - INFO - Epoch [5][1050/7390] lr: 2.000e-02, eta: 5:25:00, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0227, loss_cls: 2.9617, loss_bbox: 1.5863, loss: 4.6182 +2022-09-02 02:07:22,699 - mmdet - INFO - Epoch [5][1100/7390] lr: 2.000e-02, eta: 5:24:43, time: 0.337, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0223, loss_cls: 2.9327, loss_bbox: 1.5639, loss: 4.5663 +2022-09-02 02:07:39,772 - mmdet - INFO - Epoch [5][1150/7390] lr: 2.000e-02, eta: 5:24:27, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0222, loss_cls: 2.9285, loss_bbox: 1.5759, loss: 4.5736 +2022-09-02 02:07:55,980 - mmdet - INFO - Epoch [5][1200/7390] lr: 2.000e-02, eta: 5:24:09, time: 0.324, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0214, loss_cls: 2.9367, loss_bbox: 1.5772, loss: 4.5807 +2022-09-02 02:08:12,939 - mmdet - INFO - Epoch [5][1250/7390] lr: 2.000e-02, eta: 5:23:53, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0225, loss_cls: 2.9544, loss_bbox: 1.5767, loss: 4.6010 +2022-09-02 02:08:29,964 - mmdet - INFO - Epoch [5][1300/7390] lr: 2.000e-02, eta: 5:23:36, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.9389, loss_bbox: 1.5796, loss: 4.5874 +2022-09-02 02:08:46,948 - mmdet - INFO - Epoch [5][1350/7390] lr: 2.000e-02, eta: 5:23:20, time: 0.340, data_time: 0.010, memory: 4162, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0222, loss_cls: 2.9239, loss_bbox: 1.5730, loss: 4.5668 +2022-09-02 02:09:03,604 - mmdet - INFO - Epoch [5][1400/7390] lr: 2.000e-02, eta: 5:23:03, time: 0.333, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.9162, loss_bbox: 1.5739, loss: 4.5590 +2022-09-02 02:09:20,687 - mmdet - INFO - Epoch [5][1450/7390] lr: 2.000e-02, eta: 5:22:47, time: 0.342, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0221, loss_cls: 2.9321, loss_bbox: 1.5687, loss: 4.5694 +2022-09-02 02:09:37,736 - mmdet - INFO - Epoch [5][1500/7390] lr: 2.000e-02, eta: 5:22:30, time: 0.341, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0223, loss_cls: 2.9314, loss_bbox: 1.5844, loss: 4.5849 +2022-09-02 02:09:54,703 - mmdet - INFO - Epoch [5][1550/7390] lr: 2.000e-02, eta: 5:22:14, time: 0.339, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0224, loss_cls: 2.9309, loss_bbox: 1.5738, loss: 4.5744 +2022-09-02 02:10:11,311 - mmdet - INFO - Epoch [5][1600/7390] lr: 2.000e-02, eta: 5:21:57, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0218, loss_cls: 2.9433, loss_bbox: 1.5801, loss: 4.5918 +2022-09-02 02:10:27,772 - mmdet - INFO - Epoch [5][1650/7390] lr: 2.000e-02, eta: 5:21:39, time: 0.329, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9283, loss_bbox: 1.5653, loss: 4.5616 +2022-09-02 02:10:44,392 - mmdet - INFO - Epoch [5][1700/7390] lr: 2.000e-02, eta: 5:21:22, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0221, loss_cls: 2.9377, loss_bbox: 1.5773, loss: 4.5835 +2022-09-02 02:11:01,227 - mmdet - INFO - Epoch [5][1750/7390] lr: 2.000e-02, eta: 5:21:05, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0224, loss_cls: 2.9369, loss_bbox: 1.5770, loss: 4.5837 +2022-09-02 02:11:18,381 - mmdet - INFO - Epoch [5][1800/7390] lr: 2.000e-02, eta: 5:20:49, time: 0.343, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0229, loss_cls: 2.9357, loss_bbox: 1.5637, loss: 4.5696 +2022-09-02 02:11:35,051 - mmdet - INFO - Epoch [5][1850/7390] lr: 2.000e-02, eta: 5:20:32, time: 0.333, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0222, loss_cls: 2.9446, loss_bbox: 1.5697, loss: 4.5831 +2022-09-02 02:11:51,683 - mmdet - INFO - Epoch [5][1900/7390] lr: 2.000e-02, eta: 5:20:15, time: 0.333, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0226, loss_cls: 2.9446, loss_bbox: 1.5701, loss: 4.5848 +2022-09-02 02:12:07,893 - mmdet - INFO - Epoch [5][1950/7390] lr: 2.000e-02, eta: 5:19:57, time: 0.324, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0217, loss_cls: 2.9294, loss_bbox: 1.5748, loss: 4.5715 +2022-09-02 02:12:24,389 - mmdet - INFO - Epoch [5][2000/7390] lr: 2.000e-02, eta: 5:19:40, time: 0.329, data_time: 0.008, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0221, loss_cls: 2.9398, loss_bbox: 1.5823, loss: 4.5913 +2022-09-02 02:12:41,105 - mmdet - INFO - Epoch [5][2050/7390] lr: 2.000e-02, eta: 5:19:23, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0227, loss_cls: 2.9565, loss_bbox: 1.5695, loss: 4.5968 +2022-09-02 02:12:57,616 - mmdet - INFO - Epoch [5][2100/7390] lr: 2.000e-02, eta: 5:19:06, time: 0.330, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0217, loss_cls: 2.9274, loss_bbox: 1.5778, loss: 4.5738 +2022-09-02 02:13:14,931 - mmdet - INFO - Epoch [5][2150/7390] lr: 2.000e-02, eta: 5:18:50, time: 0.346, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0228, loss_cls: 2.9347, loss_bbox: 1.5805, loss: 4.5847 +2022-09-02 02:13:31,675 - mmdet - INFO - Epoch [5][2200/7390] lr: 2.000e-02, eta: 5:18:33, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0231, loss_cls: 2.9633, loss_bbox: 1.5791, loss: 4.6137 +2022-09-02 02:13:48,560 - mmdet - INFO - Epoch [5][2250/7390] lr: 2.000e-02, eta: 5:18:16, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0230, loss_cls: 2.9527, loss_bbox: 1.5895, loss: 4.6122 +2022-09-02 02:14:05,087 - mmdet - INFO - Epoch [5][2300/7390] lr: 2.000e-02, eta: 5:17:59, time: 0.331, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0218, loss_cls: 2.9401, loss_bbox: 1.5775, loss: 4.5865 +2022-09-02 02:14:20,913 - mmdet - INFO - Epoch [5][2350/7390] lr: 2.000e-02, eta: 5:17:41, time: 0.316, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0211, loss_cls: 2.9420, loss_bbox: 1.5823, loss: 4.5911 +2022-09-02 02:14:37,903 - mmdet - INFO - Epoch [5][2400/7390] lr: 2.000e-02, eta: 5:17:24, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0224, loss_cls: 2.9597, loss_bbox: 1.5795, loss: 4.6088 +2022-09-02 02:14:55,170 - mmdet - INFO - Epoch [5][2450/7390] lr: 2.000e-02, eta: 5:17:08, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0226, loss_cls: 2.9546, loss_bbox: 1.5745, loss: 4.5994 +2022-09-02 02:15:12,399 - mmdet - INFO - Epoch [5][2500/7390] lr: 2.000e-02, eta: 5:16:52, time: 0.345, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.9320, loss_bbox: 1.5847, loss: 4.5855 +2022-09-02 02:15:29,262 - mmdet - INFO - Epoch [5][2550/7390] lr: 2.000e-02, eta: 5:16:36, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0226, loss_cls: 2.9463, loss_bbox: 1.5740, loss: 4.5902 +2022-09-02 02:15:46,051 - mmdet - INFO - Epoch [5][2600/7390] lr: 2.000e-02, eta: 5:16:19, time: 0.335, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0225, loss_cls: 2.9397, loss_bbox: 1.5658, loss: 4.5746 +2022-09-02 02:16:02,583 - mmdet - INFO - Epoch [5][2650/7390] lr: 2.000e-02, eta: 5:16:02, time: 0.331, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0224, loss_cls: 2.9476, loss_bbox: 1.5713, loss: 4.5894 +2022-09-02 02:16:19,566 - mmdet - INFO - Epoch [5][2700/7390] lr: 2.000e-02, eta: 5:15:45, time: 0.340, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9394, loss_bbox: 1.5703, loss: 4.5791 +2022-09-02 02:16:36,452 - mmdet - INFO - Epoch [5][2750/7390] lr: 2.000e-02, eta: 5:15:29, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0226, loss_cls: 2.9498, loss_bbox: 1.5764, loss: 4.5964 +2022-09-02 02:16:53,235 - mmdet - INFO - Epoch [5][2800/7390] lr: 2.000e-02, eta: 5:15:12, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9337, loss_bbox: 1.5763, loss: 4.5794 +2022-09-02 02:17:09,961 - mmdet - INFO - Epoch [5][2850/7390] lr: 2.000e-02, eta: 5:14:55, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0222, loss_cls: 2.9454, loss_bbox: 1.5782, loss: 4.5922 +2022-09-02 02:17:26,696 - mmdet - INFO - Epoch [5][2900/7390] lr: 2.000e-02, eta: 5:14:38, time: 0.334, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0227, loss_cls: 2.9469, loss_bbox: 1.5760, loss: 4.5930 +2022-09-02 02:17:43,566 - mmdet - INFO - Epoch [5][2950/7390] lr: 2.000e-02, eta: 5:14:21, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0215, loss_cls: 2.9192, loss_bbox: 1.5845, loss: 4.5710 +2022-09-02 02:18:00,759 - mmdet - INFO - Epoch [5][3000/7390] lr: 2.000e-02, eta: 5:14:05, time: 0.344, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0223, loss_cls: 2.9546, loss_bbox: 1.5795, loss: 4.6027 +2022-09-02 02:18:17,557 - mmdet - INFO - Epoch [5][3050/7390] lr: 2.000e-02, eta: 5:13:48, time: 0.336, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0219, loss_cls: 2.9363, loss_bbox: 1.5836, loss: 4.5882 +2022-09-02 02:18:34,143 - mmdet - INFO - Epoch [5][3100/7390] lr: 2.000e-02, eta: 5:13:31, time: 0.332, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0215, loss_cls: 2.9129, loss_bbox: 1.5705, loss: 4.5506 +2022-09-02 02:18:51,031 - mmdet - INFO - Epoch [5][3150/7390] lr: 2.000e-02, eta: 5:13:15, time: 0.338, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0227, loss_cls: 2.9419, loss_bbox: 1.5782, loss: 4.5905 +2022-09-02 02:19:07,543 - mmdet - INFO - Epoch [5][3200/7390] lr: 2.000e-02, eta: 5:12:57, time: 0.330, data_time: 0.009, memory: 4162, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0225, loss_cls: 2.9444, loss_bbox: 1.5733, loss: 4.5877 +2022-09-02 02:19:24,139 - mmdet - INFO - Epoch [5][3250/7390] lr: 2.000e-02, eta: 5:12:40, time: 0.331, data_time: 0.008, memory: 4162, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0222, loss_cls: 2.9525, loss_bbox: 1.5797, loss: 4.6016 +2022-09-02 02:19:41,189 - mmdet - INFO - Epoch [5][3300/7390] lr: 2.000e-02, eta: 5:12:24, time: 0.342, data_time: 0.010, memory: 4167, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9404, loss_bbox: 1.5796, loss: 4.5889 +2022-09-02 02:19:57,774 - mmdet - INFO - Epoch [5][3350/7390] lr: 2.000e-02, eta: 5:12:07, time: 0.332, data_time: 0.009, memory: 4167, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0223, loss_cls: 2.9524, loss_bbox: 1.5669, loss: 4.5888 +2022-09-02 02:20:14,391 - mmdet - INFO - Epoch [5][3400/7390] lr: 2.000e-02, eta: 5:11:50, time: 0.332, data_time: 0.009, memory: 4167, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0220, loss_cls: 2.9339, loss_bbox: 1.5728, loss: 4.5763 +2022-09-02 02:20:31,949 - mmdet - INFO - Epoch [5][3450/7390] lr: 2.000e-02, eta: 5:11:34, time: 0.352, data_time: 0.010, memory: 4167, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0230, loss_cls: 2.9513, loss_bbox: 1.5777, loss: 4.5999 +2022-09-02 02:20:48,563 - mmdet - INFO - Epoch [5][3500/7390] lr: 2.000e-02, eta: 5:11:17, time: 0.332, data_time: 0.009, memory: 4167, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0223, loss_cls: 2.9382, loss_bbox: 1.5728, loss: 4.5810 +2022-09-02 02:21:05,380 - mmdet - INFO - Epoch [5][3550/7390] lr: 2.000e-02, eta: 5:11:00, time: 0.336, data_time: 0.009, memory: 4167, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0217, loss_cls: 2.9466, loss_bbox: 1.5856, loss: 4.6002 +2022-09-02 02:21:22,914 - mmdet - INFO - Epoch [5][3600/7390] lr: 2.000e-02, eta: 5:10:45, time: 0.352, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.9294, loss_bbox: 1.5745, loss: 4.5724 +2022-09-02 02:21:40,216 - mmdet - INFO - Epoch [5][3650/7390] lr: 2.000e-02, eta: 5:10:29, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0231, loss_cls: 2.9509, loss_bbox: 1.5764, loss: 4.5991 +2022-09-02 02:21:56,724 - mmdet - INFO - Epoch [5][3700/7390] lr: 2.000e-02, eta: 5:10:12, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0220, loss_cls: 2.9511, loss_bbox: 1.5740, loss: 4.5941 +2022-09-02 02:22:13,696 - mmdet - INFO - Epoch [5][3750/7390] lr: 2.000e-02, eta: 5:09:55, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.9285, loss_bbox: 1.5697, loss: 4.5671 +2022-09-02 02:22:30,671 - mmdet - INFO - Epoch [5][3800/7390] lr: 2.000e-02, eta: 5:09:39, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0216, loss_cls: 2.9236, loss_bbox: 1.5776, loss: 4.5693 +2022-09-02 02:22:47,191 - mmdet - INFO - Epoch [5][3850/7390] lr: 2.000e-02, eta: 5:09:21, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0217, loss_cls: 2.9336, loss_bbox: 1.5733, loss: 4.5750 +2022-09-02 02:23:04,249 - mmdet - INFO - Epoch [5][3900/7390] lr: 2.000e-02, eta: 5:09:05, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0227, loss_cls: 2.9361, loss_bbox: 1.5732, loss: 4.5797 +2022-09-02 02:23:21,572 - mmdet - INFO - Epoch [5][3950/7390] lr: 2.000e-02, eta: 5:08:49, time: 0.347, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9505, loss_bbox: 1.5732, loss: 4.5931 +2022-09-02 02:23:38,525 - mmdet - INFO - Epoch [5][4000/7390] lr: 2.000e-02, eta: 5:08:33, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0219, loss_cls: 2.9308, loss_bbox: 1.5770, loss: 4.5761 +2022-09-02 02:23:55,567 - mmdet - INFO - Epoch [5][4050/7390] lr: 2.000e-02, eta: 5:08:16, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0218, loss_cls: 2.9370, loss_bbox: 1.5742, loss: 4.5787 +2022-09-02 02:24:12,394 - mmdet - INFO - Epoch [5][4100/7390] lr: 2.000e-02, eta: 5:08:00, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9408, loss_bbox: 1.5751, loss: 4.5846 +2022-09-02 02:24:29,253 - mmdet - INFO - Epoch [5][4150/7390] lr: 2.000e-02, eta: 5:07:43, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9477, loss_bbox: 1.5748, loss: 4.5915 +2022-09-02 02:24:46,376 - mmdet - INFO - Epoch [5][4200/7390] lr: 2.000e-02, eta: 5:07:27, time: 0.343, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0226, loss_cls: 2.9392, loss_bbox: 1.5715, loss: 4.5811 +2022-09-02 02:25:02,976 - mmdet - INFO - Epoch [5][4250/7390] lr: 2.000e-02, eta: 5:07:09, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0215, loss_cls: 2.9286, loss_bbox: 1.5706, loss: 4.5664 +2022-09-02 02:25:20,228 - mmdet - INFO - Epoch [5][4300/7390] lr: 2.000e-02, eta: 5:06:53, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0226, loss_cls: 2.9377, loss_bbox: 1.5775, loss: 4.5856 +2022-09-02 02:25:37,065 - mmdet - INFO - Epoch [5][4350/7390] lr: 2.000e-02, eta: 5:06:37, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0224, loss_cls: 2.9587, loss_bbox: 1.5668, loss: 4.5949 +2022-09-02 02:25:53,403 - mmdet - INFO - Epoch [5][4400/7390] lr: 2.000e-02, eta: 5:06:19, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0220, loss_cls: 2.9310, loss_bbox: 1.5613, loss: 4.5606 +2022-09-02 02:26:10,362 - mmdet - INFO - Epoch [5][4450/7390] lr: 2.000e-02, eta: 5:06:03, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0225, loss_cls: 2.9405, loss_bbox: 1.5716, loss: 4.5818 +2022-09-02 02:26:26,644 - mmdet - INFO - Epoch [5][4500/7390] lr: 2.000e-02, eta: 5:05:45, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0218, loss_cls: 2.9275, loss_bbox: 1.5624, loss: 4.5584 +2022-09-02 02:26:43,247 - mmdet - INFO - Epoch [5][4550/7390] lr: 2.000e-02, eta: 5:05:28, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0216, loss_cls: 2.9267, loss_bbox: 1.5767, loss: 4.5705 +2022-09-02 02:27:00,148 - mmdet - INFO - Epoch [5][4600/7390] lr: 2.000e-02, eta: 5:05:11, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0229, loss_cls: 2.9587, loss_bbox: 1.5818, loss: 4.6108 +2022-09-02 02:27:16,953 - mmdet - INFO - Epoch [5][4650/7390] lr: 2.000e-02, eta: 5:04:55, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0223, loss_cls: 2.9436, loss_bbox: 1.5771, loss: 4.5903 +2022-09-02 02:27:33,829 - mmdet - INFO - Epoch [5][4700/7390] lr: 2.000e-02, eta: 5:04:38, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0225, loss_cls: 2.9183, loss_bbox: 1.5791, loss: 4.5676 +2022-09-02 02:27:51,030 - mmdet - INFO - Epoch [5][4750/7390] lr: 2.000e-02, eta: 5:04:22, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0231, loss_cls: 2.9676, loss_bbox: 1.5790, loss: 4.6171 +2022-09-02 02:28:07,324 - mmdet - INFO - Epoch [5][4800/7390] lr: 2.000e-02, eta: 5:04:04, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0220, loss_cls: 2.9556, loss_bbox: 1.5711, loss: 4.5950 +2022-09-02 02:28:24,365 - mmdet - INFO - Epoch [5][4850/7390] lr: 2.000e-02, eta: 5:03:48, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0220, loss_cls: 2.9054, loss_bbox: 1.5668, loss: 4.5407 +2022-09-02 02:28:41,443 - mmdet - INFO - Epoch [5][4900/7390] lr: 2.000e-02, eta: 5:03:31, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0227, loss_cls: 2.9417, loss_bbox: 1.5720, loss: 4.5840 +2022-09-02 02:28:57,947 - mmdet - INFO - Epoch [5][4950/7390] lr: 2.000e-02, eta: 5:03:14, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0217, loss_cls: 2.9236, loss_bbox: 1.5732, loss: 4.5651 +2022-09-02 02:29:14,902 - mmdet - INFO - Epoch [5][5000/7390] lr: 2.000e-02, eta: 5:02:58, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9175, loss_bbox: 1.5681, loss: 4.5549 +2022-09-02 02:29:32,056 - mmdet - INFO - Epoch [5][5050/7390] lr: 2.000e-02, eta: 5:02:41, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0224, loss_cls: 2.9362, loss_bbox: 1.5782, loss: 4.5846 +2022-09-02 02:29:48,498 - mmdet - INFO - Epoch [5][5100/7390] lr: 2.000e-02, eta: 5:02:24, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.9344, loss_bbox: 1.5713, loss: 4.5746 +2022-09-02 02:30:05,207 - mmdet - INFO - Epoch [5][5150/7390] lr: 2.000e-02, eta: 5:02:07, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0219, loss_cls: 2.9199, loss_bbox: 1.5742, loss: 4.5617 +2022-09-02 02:30:22,076 - mmdet - INFO - Epoch [5][5200/7390] lr: 2.000e-02, eta: 5:01:50, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.9309, loss_bbox: 1.5799, loss: 4.5798 +2022-09-02 02:30:39,059 - mmdet - INFO - Epoch [5][5250/7390] lr: 2.000e-02, eta: 5:01:34, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0221, loss_cls: 2.9488, loss_bbox: 1.5658, loss: 4.5832 +2022-09-02 02:30:55,474 - mmdet - INFO - Epoch [5][5300/7390] lr: 2.000e-02, eta: 5:01:17, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0218, loss_cls: 2.9190, loss_bbox: 1.5742, loss: 4.5615 +2022-09-02 02:31:12,303 - mmdet - INFO - Epoch [5][5350/7390] lr: 2.000e-02, eta: 5:01:00, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0227, loss_cls: 2.9382, loss_bbox: 1.5634, loss: 4.5716 +2022-09-02 02:31:28,216 - mmdet - INFO - Epoch [5][5400/7390] lr: 2.000e-02, eta: 5:00:42, time: 0.318, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0214, loss_cls: 2.9314, loss_bbox: 1.5701, loss: 4.5683 +2022-09-02 02:31:45,482 - mmdet - INFO - Epoch [5][5450/7390] lr: 2.000e-02, eta: 5:00:26, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0227, loss_cls: 2.9410, loss_bbox: 1.5736, loss: 4.5850 +2022-09-02 02:32:02,260 - mmdet - INFO - Epoch [5][5500/7390] lr: 2.000e-02, eta: 5:00:09, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0215, loss_cls: 2.9316, loss_bbox: 1.5828, loss: 4.5813 +2022-09-02 02:32:18,947 - mmdet - INFO - Epoch [5][5550/7390] lr: 2.000e-02, eta: 4:59:52, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0222, loss_cls: 2.9613, loss_bbox: 1.5738, loss: 4.6042 +2022-09-02 02:32:35,111 - mmdet - INFO - Epoch [5][5600/7390] lr: 2.000e-02, eta: 4:59:34, time: 0.324, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0216, loss_cls: 2.9384, loss_bbox: 1.5702, loss: 4.5759 +2022-09-02 02:32:52,307 - mmdet - INFO - Epoch [5][5650/7390] lr: 2.000e-02, eta: 4:59:18, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0227, loss_cls: 2.9331, loss_bbox: 1.5667, loss: 4.5697 +2022-09-02 02:33:09,204 - mmdet - INFO - Epoch [5][5700/7390] lr: 2.000e-02, eta: 4:59:01, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0223, loss_cls: 2.9317, loss_bbox: 1.5725, loss: 4.5725 +2022-09-02 02:33:26,352 - mmdet - INFO - Epoch [5][5750/7390] lr: 2.000e-02, eta: 4:58:45, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0231, loss_cls: 2.9521, loss_bbox: 1.5635, loss: 4.5858 +2022-09-02 02:33:42,900 - mmdet - INFO - Epoch [5][5800/7390] lr: 2.000e-02, eta: 4:58:28, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0219, loss_cls: 2.9150, loss_bbox: 1.5624, loss: 4.5457 +2022-09-02 02:33:59,553 - mmdet - INFO - Epoch [5][5850/7390] lr: 2.000e-02, eta: 4:58:11, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0222, loss_cls: 2.9269, loss_bbox: 1.5649, loss: 4.5607 +2022-09-02 02:34:16,168 - mmdet - INFO - Epoch [5][5900/7390] lr: 2.000e-02, eta: 4:57:54, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0221, loss_cls: 2.9520, loss_bbox: 1.5792, loss: 4.6003 +2022-09-02 02:34:32,901 - mmdet - INFO - Epoch [5][5950/7390] lr: 2.000e-02, eta: 4:57:37, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0220, loss_cls: 2.9222, loss_bbox: 1.5757, loss: 4.5666 +2022-09-02 02:34:49,383 - mmdet - INFO - Epoch [5][6000/7390] lr: 2.000e-02, eta: 4:57:20, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0222, loss_cls: 2.9297, loss_bbox: 1.5685, loss: 4.5678 +2022-09-02 02:35:06,378 - mmdet - INFO - Epoch [5][6050/7390] lr: 2.000e-02, eta: 4:57:03, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0226, loss_cls: 2.9403, loss_bbox: 1.5683, loss: 4.5782 +2022-09-02 02:35:22,717 - mmdet - INFO - Epoch [5][6100/7390] lr: 2.000e-02, eta: 4:56:46, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0214, loss_cls: 2.9154, loss_bbox: 1.5698, loss: 4.5520 +2022-09-02 02:35:39,598 - mmdet - INFO - Epoch [5][6150/7390] lr: 2.000e-02, eta: 4:56:29, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.9278, loss_bbox: 1.5607, loss: 4.5561 +2022-09-02 02:35:56,521 - mmdet - INFO - Epoch [5][6200/7390] lr: 2.000e-02, eta: 4:56:12, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0226, loss_cls: 2.9522, loss_bbox: 1.5655, loss: 4.5866 +2022-09-02 02:36:13,076 - mmdet - INFO - Epoch [5][6250/7390] lr: 2.000e-02, eta: 4:55:55, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0223, loss_cls: 2.9156, loss_bbox: 1.5691, loss: 4.5548 +2022-09-02 02:36:30,248 - mmdet - INFO - Epoch [5][6300/7390] lr: 2.000e-02, eta: 4:55:39, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9386, loss_bbox: 1.5701, loss: 4.5782 +2022-09-02 02:36:46,507 - mmdet - INFO - Epoch [5][6350/7390] lr: 2.000e-02, eta: 4:55:21, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.9206, loss_bbox: 1.5695, loss: 4.5578 +2022-09-02 02:37:03,057 - mmdet - INFO - Epoch [5][6400/7390] lr: 2.000e-02, eta: 4:55:04, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.9297, loss_bbox: 1.5661, loss: 4.5643 +2022-09-02 02:37:19,517 - mmdet - INFO - Epoch [5][6450/7390] lr: 2.000e-02, eta: 4:54:47, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0224, loss_cls: 2.9230, loss_bbox: 1.5760, loss: 4.5692 +2022-09-02 02:37:36,517 - mmdet - INFO - Epoch [5][6500/7390] lr: 2.000e-02, eta: 4:54:30, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0226, loss_cls: 2.9162, loss_bbox: 1.5726, loss: 4.5586 +2022-09-02 02:37:52,964 - mmdet - INFO - Epoch [5][6550/7390] lr: 2.000e-02, eta: 4:54:13, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0217, loss_cls: 2.9245, loss_bbox: 1.5742, loss: 4.5664 +2022-09-02 02:38:09,924 - mmdet - INFO - Epoch [5][6600/7390] lr: 2.000e-02, eta: 4:53:57, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0218, loss_cls: 2.9254, loss_bbox: 1.5747, loss: 4.5685 +2022-09-02 02:38:26,796 - mmdet - INFO - Epoch [5][6650/7390] lr: 2.000e-02, eta: 4:53:40, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0230, loss_cls: 2.9421, loss_bbox: 1.5737, loss: 4.5875 +2022-09-02 02:38:43,327 - mmdet - INFO - Epoch [5][6700/7390] lr: 2.000e-02, eta: 4:53:23, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.9172, loss_bbox: 1.5695, loss: 4.5548 +2022-09-02 02:39:00,213 - mmdet - INFO - Epoch [5][6750/7390] lr: 2.000e-02, eta: 4:53:06, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0219, loss_cls: 2.9255, loss_bbox: 1.5695, loss: 4.5632 +2022-09-02 02:39:17,358 - mmdet - INFO - Epoch [5][6800/7390] lr: 2.000e-02, eta: 4:52:50, time: 0.344, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0225, loss_cls: 2.9442, loss_bbox: 1.5697, loss: 4.5831 +2022-09-02 02:39:33,942 - mmdet - INFO - Epoch [5][6850/7390] lr: 2.000e-02, eta: 4:52:33, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0221, loss_cls: 2.9214, loss_bbox: 1.5638, loss: 4.5544 +2022-09-02 02:39:50,800 - mmdet - INFO - Epoch [5][6900/7390] lr: 2.000e-02, eta: 4:52:16, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0220, loss_cls: 2.9339, loss_bbox: 1.5630, loss: 4.5662 +2022-09-02 02:40:07,670 - mmdet - INFO - Epoch [5][6950/7390] lr: 2.000e-02, eta: 4:51:59, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0228, loss_cls: 2.9495, loss_bbox: 1.5743, loss: 4.5947 +2022-09-02 02:40:25,143 - mmdet - INFO - Epoch [5][7000/7390] lr: 2.000e-02, eta: 4:51:44, time: 0.350, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9420, loss_bbox: 1.5739, loss: 4.5849 +2022-09-02 02:40:41,480 - mmdet - INFO - Epoch [5][7050/7390] lr: 2.000e-02, eta: 4:51:26, time: 0.327, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0211, loss_cls: 2.9096, loss_bbox: 1.5708, loss: 4.5472 +2022-09-02 02:40:58,421 - mmdet - INFO - Epoch [5][7100/7390] lr: 2.000e-02, eta: 4:51:10, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.9301, loss_bbox: 1.5694, loss: 4.5677 +2022-09-02 02:41:15,265 - mmdet - INFO - Epoch [5][7150/7390] lr: 2.000e-02, eta: 4:50:53, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0228, loss_cls: 2.9456, loss_bbox: 1.5646, loss: 4.5806 +2022-09-02 02:41:32,063 - mmdet - INFO - Epoch [5][7200/7390] lr: 2.000e-02, eta: 4:50:36, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0226, loss_cls: 2.9451, loss_bbox: 1.5780, loss: 4.5930 +2022-09-02 02:41:48,383 - mmdet - INFO - Epoch [5][7250/7390] lr: 2.000e-02, eta: 4:50:19, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0215, loss_cls: 2.9273, loss_bbox: 1.5638, loss: 4.5583 +2022-09-02 02:42:05,628 - mmdet - INFO - Epoch [5][7300/7390] lr: 2.000e-02, eta: 4:50:02, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0229, loss_cls: 2.9339, loss_bbox: 1.5650, loss: 4.5686 +2022-09-02 02:42:22,414 - mmdet - INFO - Epoch [5][7350/7390] lr: 2.000e-02, eta: 4:49:46, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0219, loss_cls: 2.9118, loss_bbox: 1.5564, loss: 4.5357 +2022-09-02 02:42:35,916 - mmdet - INFO - Saving checkpoint at 5 epochs +2022-09-02 02:42:57,357 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:42:57,357 - mmdet - INFO - Epoch [6][50/7390] lr: 2.000e-02, eta: 4:49:01, time: 0.401, data_time: 0.072, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0221, loss_cls: 2.9258, loss_bbox: 1.5664, loss: 4.5606 +2022-09-02 02:43:14,437 - mmdet - INFO - Epoch [6][100/7390] lr: 2.000e-02, eta: 4:48:45, time: 0.341, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9282, loss_bbox: 1.5552, loss: 4.5513 +2022-09-02 02:43:31,458 - mmdet - INFO - Epoch [6][150/7390] lr: 2.000e-02, eta: 4:48:28, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0224, loss_cls: 2.9315, loss_bbox: 1.5667, loss: 4.5679 +2022-09-02 02:43:48,341 - mmdet - INFO - Epoch [6][200/7390] lr: 2.000e-02, eta: 4:48:12, time: 0.337, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0222, loss_cls: 2.9251, loss_bbox: 1.5770, loss: 4.5722 +2022-09-02 02:44:05,244 - mmdet - INFO - Epoch [6][250/7390] lr: 2.000e-02, eta: 4:47:55, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0228, loss_cls: 2.9317, loss_bbox: 1.5677, loss: 4.5699 +2022-09-02 02:44:21,609 - mmdet - INFO - Epoch [6][300/7390] lr: 2.000e-02, eta: 4:47:38, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0219, loss_cls: 2.9375, loss_bbox: 1.5678, loss: 4.5738 +2022-09-02 02:44:38,622 - mmdet - INFO - Epoch [6][350/7390] lr: 2.000e-02, eta: 4:47:21, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0219, loss_cls: 2.9178, loss_bbox: 1.5711, loss: 4.5577 +2022-09-02 02:44:55,342 - mmdet - INFO - Epoch [6][400/7390] lr: 2.000e-02, eta: 4:47:04, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0216, loss_cls: 2.9109, loss_bbox: 1.5623, loss: 4.5394 +2022-09-02 02:45:12,930 - mmdet - INFO - Epoch [6][450/7390] lr: 2.000e-02, eta: 4:46:49, time: 0.352, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0221, loss_cls: 2.9200, loss_bbox: 1.5673, loss: 4.5558 +2022-09-02 02:45:29,928 - mmdet - INFO - Epoch [6][500/7390] lr: 2.000e-02, eta: 4:46:32, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0227, loss_cls: 2.9282, loss_bbox: 1.5663, loss: 4.5644 +2022-09-02 02:45:46,784 - mmdet - INFO - Epoch [6][550/7390] lr: 2.000e-02, eta: 4:46:16, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0223, loss_cls: 2.9404, loss_bbox: 1.5711, loss: 4.5798 +2022-09-02 02:46:04,192 - mmdet - INFO - Epoch [6][600/7390] lr: 2.000e-02, eta: 4:46:00, time: 0.348, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0225, loss_cls: 2.9488, loss_bbox: 1.5683, loss: 4.5870 +2022-09-02 02:46:20,874 - mmdet - INFO - Epoch [6][650/7390] lr: 2.000e-02, eta: 4:45:43, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0221, loss_cls: 2.9468, loss_bbox: 1.5804, loss: 4.5959 +2022-09-02 02:46:37,769 - mmdet - INFO - Epoch [6][700/7390] lr: 2.000e-02, eta: 4:45:26, time: 0.338, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0225, loss_cls: 2.9369, loss_bbox: 1.5589, loss: 4.5664 +2022-09-02 02:46:54,409 - mmdet - INFO - Epoch [6][750/7390] lr: 2.000e-02, eta: 4:45:09, time: 0.331, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0224, loss_cls: 2.9262, loss_bbox: 1.5729, loss: 4.5688 +2022-09-02 02:47:10,828 - mmdet - INFO - Epoch [6][800/7390] lr: 2.000e-02, eta: 4:44:52, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.9315, loss_bbox: 1.5713, loss: 4.5714 +2022-09-02 02:47:27,636 - mmdet - INFO - Epoch [6][850/7390] lr: 2.000e-02, eta: 4:44:35, time: 0.336, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0215, loss_cls: 2.8887, loss_bbox: 1.5665, loss: 4.5224 +2022-09-02 02:47:44,561 - mmdet - INFO - Epoch [6][900/7390] lr: 2.000e-02, eta: 4:44:19, time: 0.338, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0224, loss_cls: 2.9296, loss_bbox: 1.5601, loss: 4.5590 +2022-09-02 02:48:01,498 - mmdet - INFO - Epoch [6][950/7390] lr: 2.000e-02, eta: 4:44:02, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0223, loss_cls: 2.9342, loss_bbox: 1.5767, loss: 4.5796 +2022-09-02 02:48:18,551 - mmdet - INFO - Epoch [6][1000/7390] lr: 2.000e-02, eta: 4:43:46, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0225, loss_cls: 2.9178, loss_bbox: 1.5634, loss: 4.5511 +2022-09-02 02:48:35,068 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:48:35,069 - mmdet - INFO - Epoch [6][1050/7390] lr: 2.000e-02, eta: 4:43:28, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0216, loss_cls: 2.9190, loss_bbox: 1.5789, loss: 4.5655 +2022-09-02 02:48:52,134 - mmdet - INFO - Epoch [6][1100/7390] lr: 2.000e-02, eta: 4:43:12, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9214, loss_bbox: 1.5657, loss: 4.5560 +2022-09-02 02:49:08,890 - mmdet - INFO - Epoch [6][1150/7390] lr: 2.000e-02, eta: 4:42:55, time: 0.334, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0226, loss_cls: 2.9279, loss_bbox: 1.5680, loss: 4.5664 +2022-09-02 02:49:25,884 - mmdet - INFO - Epoch [6][1200/7390] lr: 2.000e-02, eta: 4:42:39, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9297, loss_bbox: 1.5787, loss: 4.5771 +2022-09-02 02:49:42,803 - mmdet - INFO - Epoch [6][1250/7390] lr: 2.000e-02, eta: 4:42:22, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.9407, loss_bbox: 1.5572, loss: 4.5668 +2022-09-02 02:49:59,221 - mmdet - INFO - Epoch [6][1300/7390] lr: 2.000e-02, eta: 4:42:05, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0216, loss_cls: 2.9111, loss_bbox: 1.5735, loss: 4.5518 +2022-09-02 02:50:15,890 - mmdet - INFO - Epoch [6][1350/7390] lr: 2.000e-02, eta: 4:41:48, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0223, loss_cls: 2.9309, loss_bbox: 1.5769, loss: 4.5777 +2022-09-02 02:50:32,792 - mmdet - INFO - Epoch [6][1400/7390] lr: 2.000e-02, eta: 4:41:31, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9204, loss_bbox: 1.5705, loss: 4.5598 +2022-09-02 02:50:50,129 - mmdet - INFO - Epoch [6][1450/7390] lr: 2.000e-02, eta: 4:41:15, time: 0.347, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0227, loss_cls: 2.9382, loss_bbox: 1.5601, loss: 4.5676 +2022-09-02 02:51:06,809 - mmdet - INFO - Epoch [6][1500/7390] lr: 2.000e-02, eta: 4:40:58, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0222, loss_cls: 2.9179, loss_bbox: 1.5600, loss: 4.5471 +2022-09-02 02:51:23,652 - mmdet - INFO - Epoch [6][1550/7390] lr: 2.000e-02, eta: 4:40:42, time: 0.336, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.9059, loss_bbox: 1.5687, loss: 4.5436 +2022-09-02 02:51:40,010 - mmdet - INFO - Epoch [6][1600/7390] lr: 2.000e-02, eta: 4:40:24, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0219, loss_cls: 2.9276, loss_bbox: 1.5675, loss: 4.5637 +2022-09-02 02:51:57,257 - mmdet - INFO - Epoch [6][1650/7390] lr: 2.000e-02, eta: 4:40:08, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0225, loss_cls: 2.9180, loss_bbox: 1.5731, loss: 4.5611 +2022-09-02 02:52:14,109 - mmdet - INFO - Epoch [6][1700/7390] lr: 2.000e-02, eta: 4:39:51, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0221, loss_cls: 2.9304, loss_bbox: 1.5609, loss: 4.5589 +2022-09-02 02:52:30,556 - mmdet - INFO - Epoch [6][1750/7390] lr: 2.000e-02, eta: 4:39:34, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0223, loss_cls: 2.9411, loss_bbox: 1.5624, loss: 4.5722 +2022-09-02 02:52:47,407 - mmdet - INFO - Epoch [6][1800/7390] lr: 2.000e-02, eta: 4:39:18, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0227, loss_cls: 2.9208, loss_bbox: 1.5661, loss: 4.5561 +2022-09-02 02:53:04,320 - mmdet - INFO - Epoch [6][1850/7390] lr: 2.000e-02, eta: 4:39:01, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0228, loss_cls: 2.9317, loss_bbox: 1.5589, loss: 4.5605 +2022-09-02 02:53:20,355 - mmdet - INFO - Epoch [6][1900/7390] lr: 2.000e-02, eta: 4:38:43, time: 0.320, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0216, loss_cls: 2.9124, loss_bbox: 1.5635, loss: 4.5436 +2022-09-02 02:53:36,944 - mmdet - INFO - Epoch [6][1950/7390] lr: 2.000e-02, eta: 4:38:26, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0214, loss_cls: 2.9120, loss_bbox: 1.5793, loss: 4.5585 +2022-09-02 02:53:54,595 - mmdet - INFO - Epoch [6][2000/7390] lr: 2.000e-02, eta: 4:38:11, time: 0.353, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0235, loss_cls: 2.9496, loss_bbox: 1.5676, loss: 4.5887 +2022-09-02 02:54:11,212 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:54:11,212 - mmdet - INFO - Epoch [6][2050/7390] lr: 2.000e-02, eta: 4:37:54, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0223, loss_cls: 2.9513, loss_bbox: 1.5674, loss: 4.5874 +2022-09-02 02:54:27,786 - mmdet - INFO - Epoch [6][2100/7390] lr: 2.000e-02, eta: 4:37:37, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0216, loss_cls: 2.9146, loss_bbox: 1.5695, loss: 4.5518 +2022-09-02 02:54:44,752 - mmdet - INFO - Epoch [6][2150/7390] lr: 2.000e-02, eta: 4:37:20, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9246, loss_bbox: 1.5567, loss: 4.5502 +2022-09-02 02:55:01,821 - mmdet - INFO - Epoch [6][2200/7390] lr: 2.000e-02, eta: 4:37:04, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0220, loss_cls: 2.9325, loss_bbox: 1.5711, loss: 4.5724 +2022-09-02 02:55:18,504 - mmdet - INFO - Epoch [6][2250/7390] lr: 2.000e-02, eta: 4:36:47, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0223, loss_cls: 2.9246, loss_bbox: 1.5666, loss: 4.5599 +2022-09-02 02:55:35,322 - mmdet - INFO - Epoch [6][2300/7390] lr: 2.000e-02, eta: 4:36:30, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0225, loss_cls: 2.9473, loss_bbox: 1.5646, loss: 4.5816 +2022-09-02 02:55:52,118 - mmdet - INFO - Epoch [6][2350/7390] lr: 2.000e-02, eta: 4:36:13, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0223, loss_cls: 2.9376, loss_bbox: 1.5717, loss: 4.5783 +2022-09-02 02:56:09,138 - mmdet - INFO - Epoch [6][2400/7390] lr: 2.000e-02, eta: 4:35:57, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0224, loss_cls: 2.9369, loss_bbox: 1.5601, loss: 4.5655 +2022-09-02 02:56:25,890 - mmdet - INFO - Epoch [6][2450/7390] lr: 2.000e-02, eta: 4:35:40, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9287, loss_bbox: 1.5740, loss: 4.5717 +2022-09-02 02:56:42,278 - mmdet - INFO - Epoch [6][2500/7390] lr: 2.000e-02, eta: 4:35:23, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0212, loss_cls: 2.9043, loss_bbox: 1.5725, loss: 4.5429 +2022-09-02 02:56:58,930 - mmdet - INFO - Epoch [6][2550/7390] lr: 2.000e-02, eta: 4:35:06, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9344, loss_bbox: 1.5617, loss: 4.5641 +2022-09-02 02:57:15,795 - mmdet - INFO - Epoch [6][2600/7390] lr: 2.000e-02, eta: 4:34:49, time: 0.337, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0226, loss_cls: 2.9227, loss_bbox: 1.5615, loss: 4.5543 +2022-09-02 02:57:32,364 - mmdet - INFO - Epoch [6][2650/7390] lr: 2.000e-02, eta: 4:34:32, time: 0.331, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0214, loss_cls: 2.9216, loss_bbox: 1.5648, loss: 4.5543 +2022-09-02 02:57:48,853 - mmdet - INFO - Epoch [6][2700/7390] lr: 2.000e-02, eta: 4:34:15, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0218, loss_cls: 2.9182, loss_bbox: 1.5719, loss: 4.5579 +2022-09-02 02:58:05,649 - mmdet - INFO - Epoch [6][2750/7390] lr: 2.000e-02, eta: 4:33:58, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0227, loss_cls: 2.9398, loss_bbox: 1.5729, loss: 4.5823 +2022-09-02 02:58:22,507 - mmdet - INFO - Epoch [6][2800/7390] lr: 2.000e-02, eta: 4:33:41, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9182, loss_bbox: 1.5633, loss: 4.5496 +2022-09-02 02:58:38,915 - mmdet - INFO - Epoch [6][2850/7390] lr: 2.000e-02, eta: 4:33:24, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0216, loss_cls: 2.9419, loss_bbox: 1.5760, loss: 4.5848 +2022-09-02 02:58:55,647 - mmdet - INFO - Epoch [6][2900/7390] lr: 2.000e-02, eta: 4:33:07, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0219, loss_cls: 2.9278, loss_bbox: 1.5714, loss: 4.5677 +2022-09-02 02:59:12,448 - mmdet - INFO - Epoch [6][2950/7390] lr: 2.000e-02, eta: 4:32:50, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0222, loss_cls: 2.9433, loss_bbox: 1.5728, loss: 4.5853 +2022-09-02 02:59:29,450 - mmdet - INFO - Epoch [6][3000/7390] lr: 2.000e-02, eta: 4:32:34, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9313, loss_bbox: 1.5646, loss: 4.5654 +2022-09-02 02:59:46,074 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 02:59:46,074 - mmdet - INFO - Epoch [6][3050/7390] lr: 2.000e-02, eta: 4:32:17, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0214, loss_cls: 2.9183, loss_bbox: 1.5714, loss: 4.5565 +2022-09-02 03:00:02,885 - mmdet - INFO - Epoch [6][3100/7390] lr: 2.000e-02, eta: 4:32:00, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0227, loss_cls: 2.9475, loss_bbox: 1.5631, loss: 4.5799 +2022-09-02 03:00:19,652 - mmdet - INFO - Epoch [6][3150/7390] lr: 2.000e-02, eta: 4:31:43, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.9209, loss_bbox: 1.5569, loss: 4.5456 +2022-09-02 03:00:36,719 - mmdet - INFO - Epoch [6][3200/7390] lr: 2.000e-02, eta: 4:31:27, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0229, loss_cls: 2.9250, loss_bbox: 1.5675, loss: 4.5630 +2022-09-02 03:00:53,675 - mmdet - INFO - Epoch [6][3250/7390] lr: 2.000e-02, eta: 4:31:10, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0229, loss_cls: 2.9264, loss_bbox: 1.5639, loss: 4.5611 +2022-09-02 03:01:10,033 - mmdet - INFO - Epoch [6][3300/7390] lr: 2.000e-02, eta: 4:30:53, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9223, loss_bbox: 1.5750, loss: 4.5653 +2022-09-02 03:01:26,862 - mmdet - INFO - Epoch [6][3350/7390] lr: 2.000e-02, eta: 4:30:36, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9369, loss_bbox: 1.5749, loss: 4.5808 +2022-09-02 03:01:43,196 - mmdet - INFO - Epoch [6][3400/7390] lr: 2.000e-02, eta: 4:30:19, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0218, loss_cls: 2.9255, loss_bbox: 1.5691, loss: 4.5622 +2022-09-02 03:02:00,199 - mmdet - INFO - Epoch [6][3450/7390] lr: 2.000e-02, eta: 4:30:03, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0224, loss_cls: 2.9170, loss_bbox: 1.5594, loss: 4.5456 +2022-09-02 03:02:16,865 - mmdet - INFO - Epoch [6][3500/7390] lr: 2.000e-02, eta: 4:29:46, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0218, loss_cls: 2.9265, loss_bbox: 1.5671, loss: 4.5611 +2022-09-02 03:02:33,802 - mmdet - INFO - Epoch [6][3550/7390] lr: 2.000e-02, eta: 4:29:29, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0218, loss_cls: 2.9160, loss_bbox: 1.5667, loss: 4.5509 +2022-09-02 03:02:50,601 - mmdet - INFO - Epoch [6][3600/7390] lr: 2.000e-02, eta: 4:29:12, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.9344, loss_bbox: 1.5672, loss: 4.5693 +2022-09-02 03:03:07,053 - mmdet - INFO - Epoch [6][3650/7390] lr: 2.000e-02, eta: 4:28:55, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.9212, loss_bbox: 1.5668, loss: 4.5569 +2022-09-02 03:03:23,285 - mmdet - INFO - Epoch [6][3700/7390] lr: 2.000e-02, eta: 4:28:38, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0220, loss_cls: 2.9161, loss_bbox: 1.5599, loss: 4.5443 +2022-09-02 03:03:39,768 - mmdet - INFO - Epoch [6][3750/7390] lr: 2.000e-02, eta: 4:28:21, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.9256, loss_bbox: 1.5750, loss: 4.5694 +2022-09-02 03:03:56,607 - mmdet - INFO - Epoch [6][3800/7390] lr: 2.000e-02, eta: 4:28:04, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0222, loss_cls: 2.9326, loss_bbox: 1.5734, loss: 4.5744 +2022-09-02 03:04:13,577 - mmdet - INFO - Epoch [6][3850/7390] lr: 2.000e-02, eta: 4:27:47, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0221, loss_cls: 2.9204, loss_bbox: 1.5592, loss: 4.5474 +2022-09-02 03:04:29,991 - mmdet - INFO - Epoch [6][3900/7390] lr: 2.000e-02, eta: 4:27:30, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0214, loss_cls: 2.9221, loss_bbox: 1.5663, loss: 4.5547 +2022-09-02 03:04:46,547 - mmdet - INFO - Epoch [6][3950/7390] lr: 2.000e-02, eta: 4:27:13, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0216, loss_cls: 2.9138, loss_bbox: 1.5589, loss: 4.5405 +2022-09-02 03:05:03,627 - mmdet - INFO - Epoch [6][4000/7390] lr: 2.000e-02, eta: 4:26:57, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9240, loss_bbox: 1.5716, loss: 4.5647 +2022-09-02 03:05:20,482 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:05:20,483 - mmdet - INFO - Epoch [6][4050/7390] lr: 2.000e-02, eta: 4:26:40, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0225, loss_cls: 2.9389, loss_bbox: 1.5709, loss: 4.5783 +2022-09-02 03:05:37,410 - mmdet - INFO - Epoch [6][4100/7390] lr: 2.000e-02, eta: 4:26:23, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0223, loss_cls: 2.9366, loss_bbox: 1.5651, loss: 4.5708 +2022-09-02 03:05:53,849 - mmdet - INFO - Epoch [6][4150/7390] lr: 2.000e-02, eta: 4:26:06, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0221, loss_cls: 2.9190, loss_bbox: 1.5662, loss: 4.5546 +2022-09-02 03:06:10,516 - mmdet - INFO - Epoch [6][4200/7390] lr: 2.000e-02, eta: 4:25:49, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0218, loss_cls: 2.9099, loss_bbox: 1.5693, loss: 4.5473 +2022-09-02 03:06:27,185 - mmdet - INFO - Epoch [6][4250/7390] lr: 2.000e-02, eta: 4:25:32, time: 0.333, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9213, loss_bbox: 1.5642, loss: 4.5546 +2022-09-02 03:06:44,244 - mmdet - INFO - Epoch [6][4300/7390] lr: 2.000e-02, eta: 4:25:16, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0227, loss_cls: 2.9164, loss_bbox: 1.5543, loss: 4.5410 +2022-09-02 03:07:00,906 - mmdet - INFO - Epoch [6][4350/7390] lr: 2.000e-02, eta: 4:24:59, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0217, loss_cls: 2.9110, loss_bbox: 1.5782, loss: 4.5578 +2022-09-02 03:07:17,616 - mmdet - INFO - Epoch [6][4400/7390] lr: 2.000e-02, eta: 4:24:42, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0224, loss_cls: 2.9232, loss_bbox: 1.5557, loss: 4.5483 +2022-09-02 03:07:34,087 - mmdet - INFO - Epoch [6][4450/7390] lr: 2.000e-02, eta: 4:24:25, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.9367, loss_bbox: 1.5651, loss: 4.5706 +2022-09-02 03:07:50,994 - mmdet - INFO - Epoch [6][4500/7390] lr: 2.000e-02, eta: 4:24:08, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0226, loss_cls: 2.9237, loss_bbox: 1.5690, loss: 4.5628 +2022-09-02 03:08:07,970 - mmdet - INFO - Epoch [6][4550/7390] lr: 2.000e-02, eta: 4:23:52, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0216, loss_cls: 2.8930, loss_bbox: 1.5557, loss: 4.5158 +2022-09-02 03:08:24,730 - mmdet - INFO - Epoch [6][4600/7390] lr: 2.000e-02, eta: 4:23:35, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0219, loss_cls: 2.9225, loss_bbox: 1.5596, loss: 4.5510 +2022-09-02 03:08:41,875 - mmdet - INFO - Epoch [6][4650/7390] lr: 2.000e-02, eta: 4:23:19, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0224, loss_cls: 2.9190, loss_bbox: 1.5713, loss: 4.5594 +2022-09-02 03:08:59,016 - mmdet - INFO - Epoch [6][4700/7390] lr: 2.000e-02, eta: 4:23:02, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0227, loss_cls: 2.9283, loss_bbox: 1.5757, loss: 4.5732 +2022-09-02 03:09:15,735 - mmdet - INFO - Epoch [6][4750/7390] lr: 2.000e-02, eta: 4:22:45, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0216, loss_cls: 2.9071, loss_bbox: 1.5703, loss: 4.5449 +2022-09-02 03:09:32,503 - mmdet - INFO - Epoch [6][4800/7390] lr: 2.000e-02, eta: 4:22:29, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9103, loss_bbox: 1.5580, loss: 4.5363 +2022-09-02 03:09:48,954 - mmdet - INFO - Epoch [6][4850/7390] lr: 2.000e-02, eta: 4:22:12, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0210, loss_cls: 2.8910, loss_bbox: 1.5650, loss: 4.5220 +2022-09-02 03:10:05,616 - mmdet - INFO - Epoch [6][4900/7390] lr: 2.000e-02, eta: 4:21:55, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0212, loss_cls: 2.8932, loss_bbox: 1.5702, loss: 4.5314 +2022-09-02 03:10:21,986 - mmdet - INFO - Epoch [6][4950/7390] lr: 2.000e-02, eta: 4:21:37, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0220, loss_cls: 2.9118, loss_bbox: 1.5727, loss: 4.5533 +2022-09-02 03:10:38,830 - mmdet - INFO - Epoch [6][5000/7390] lr: 2.000e-02, eta: 4:21:21, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0227, loss_cls: 2.9161, loss_bbox: 1.5690, loss: 4.5548 +2022-09-02 03:10:55,314 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:10:55,315 - mmdet - INFO - Epoch [6][5050/7390] lr: 2.000e-02, eta: 4:21:04, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0220, loss_cls: 2.9211, loss_bbox: 1.5611, loss: 4.5506 +2022-09-02 03:11:12,194 - mmdet - INFO - Epoch [6][5100/7390] lr: 2.000e-02, eta: 4:20:47, time: 0.337, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9074, loss_bbox: 1.5714, loss: 4.5481 +2022-09-02 03:11:29,098 - mmdet - INFO - Epoch [6][5150/7390] lr: 2.000e-02, eta: 4:20:30, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9213, loss_bbox: 1.5678, loss: 4.5586 +2022-09-02 03:11:46,245 - mmdet - INFO - Epoch [6][5200/7390] lr: 2.000e-02, eta: 4:20:14, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0233, loss_cls: 2.9295, loss_bbox: 1.5630, loss: 4.5641 +2022-09-02 03:12:02,959 - mmdet - INFO - Epoch [6][5250/7390] lr: 2.000e-02, eta: 4:19:57, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0217, loss_cls: 2.9237, loss_bbox: 1.5638, loss: 4.5553 +2022-09-02 03:12:20,027 - mmdet - INFO - Epoch [6][5300/7390] lr: 2.000e-02, eta: 4:19:41, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.9176, loss_bbox: 1.5637, loss: 4.5501 +2022-09-02 03:12:36,758 - mmdet - INFO - Epoch [6][5350/7390] lr: 2.000e-02, eta: 4:19:24, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0223, loss_cls: 2.9316, loss_bbox: 1.5722, loss: 4.5734 +2022-09-02 03:12:53,960 - mmdet - INFO - Epoch [6][5400/7390] lr: 2.000e-02, eta: 4:19:07, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0224, loss_cls: 2.9411, loss_bbox: 1.5619, loss: 4.5726 +2022-09-02 03:13:10,913 - mmdet - INFO - Epoch [6][5450/7390] lr: 2.000e-02, eta: 4:18:51, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0229, loss_cls: 2.9513, loss_bbox: 1.5614, loss: 4.5829 +2022-09-02 03:13:27,294 - mmdet - INFO - Epoch [6][5500/7390] lr: 2.000e-02, eta: 4:18:34, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0217, loss_cls: 2.9149, loss_bbox: 1.5692, loss: 4.5516 +2022-09-02 03:13:44,214 - mmdet - INFO - Epoch [6][5550/7390] lr: 2.000e-02, eta: 4:18:17, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0230, loss_cls: 2.9368, loss_bbox: 1.5582, loss: 4.5657 +2022-09-02 03:14:00,719 - mmdet - INFO - Epoch [6][5600/7390] lr: 2.000e-02, eta: 4:18:00, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.9294, loss_bbox: 1.5661, loss: 4.5643 +2022-09-02 03:14:17,949 - mmdet - INFO - Epoch [6][5650/7390] lr: 2.000e-02, eta: 4:17:44, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0230, loss_cls: 2.9316, loss_bbox: 1.5644, loss: 4.5671 +2022-09-02 03:14:35,204 - mmdet - INFO - Epoch [6][5700/7390] lr: 2.000e-02, eta: 4:17:27, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0230, loss_cls: 2.9337, loss_bbox: 1.5529, loss: 4.5579 +2022-09-02 03:14:52,185 - mmdet - INFO - Epoch [6][5750/7390] lr: 2.000e-02, eta: 4:17:11, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0226, loss_cls: 2.9206, loss_bbox: 1.5632, loss: 4.5539 +2022-09-02 03:15:09,241 - mmdet - INFO - Epoch [6][5800/7390] lr: 2.000e-02, eta: 4:16:54, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0226, loss_cls: 2.9125, loss_bbox: 1.5630, loss: 4.5447 +2022-09-02 03:15:26,362 - mmdet - INFO - Epoch [6][5850/7390] lr: 2.000e-02, eta: 4:16:38, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9221, loss_bbox: 1.5590, loss: 4.5501 +2022-09-02 03:15:43,018 - mmdet - INFO - Epoch [6][5900/7390] lr: 2.000e-02, eta: 4:16:21, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0221, loss_cls: 2.9309, loss_bbox: 1.5523, loss: 4.5525 +2022-09-02 03:16:00,161 - mmdet - INFO - Epoch [6][5950/7390] lr: 2.000e-02, eta: 4:16:05, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0225, loss_cls: 2.9355, loss_bbox: 1.5643, loss: 4.5697 +2022-09-02 03:16:16,969 - mmdet - INFO - Epoch [6][6000/7390] lr: 2.000e-02, eta: 4:15:48, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.9235, loss_bbox: 1.5547, loss: 4.5460 +2022-09-02 03:16:33,736 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:16:33,737 - mmdet - INFO - Epoch [6][6050/7390] lr: 2.000e-02, eta: 4:15:31, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0219, loss_cls: 2.9172, loss_bbox: 1.5731, loss: 4.5584 +2022-09-02 03:16:50,286 - mmdet - INFO - Epoch [6][6100/7390] lr: 2.000e-02, eta: 4:15:14, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0213, loss_cls: 2.9040, loss_bbox: 1.5665, loss: 4.5377 +2022-09-02 03:17:07,241 - mmdet - INFO - Epoch [6][6150/7390] lr: 2.000e-02, eta: 4:14:57, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0226, loss_cls: 2.9276, loss_bbox: 1.5661, loss: 4.5636 +2022-09-02 03:17:23,842 - mmdet - INFO - Epoch [6][6200/7390] lr: 2.000e-02, eta: 4:14:40, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0221, loss_cls: 2.8959, loss_bbox: 1.5584, loss: 4.5233 +2022-09-02 03:17:40,481 - mmdet - INFO - Epoch [6][6250/7390] lr: 2.000e-02, eta: 4:14:23, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0225, loss_cls: 2.9111, loss_bbox: 1.5591, loss: 4.5404 +2022-09-02 03:17:57,288 - mmdet - INFO - Epoch [6][6300/7390] lr: 2.000e-02, eta: 4:14:07, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0217, loss_cls: 2.9143, loss_bbox: 1.5660, loss: 4.5480 +2022-09-02 03:18:13,843 - mmdet - INFO - Epoch [6][6350/7390] lr: 2.000e-02, eta: 4:13:50, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0218, loss_cls: 2.9095, loss_bbox: 1.5530, loss: 4.5299 +2022-09-02 03:18:30,579 - mmdet - INFO - Epoch [6][6400/7390] lr: 2.000e-02, eta: 4:13:33, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0216, loss_cls: 2.9160, loss_bbox: 1.5706, loss: 4.5539 +2022-09-02 03:18:47,704 - mmdet - INFO - Epoch [6][6450/7390] lr: 2.000e-02, eta: 4:13:16, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9079, loss_bbox: 1.5566, loss: 4.5337 +2022-09-02 03:19:04,339 - mmdet - INFO - Epoch [6][6500/7390] lr: 2.000e-02, eta: 4:13:00, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0219, loss_cls: 2.9018, loss_bbox: 1.5642, loss: 4.5341 +2022-09-02 03:19:20,675 - mmdet - INFO - Epoch [6][6550/7390] lr: 2.000e-02, eta: 4:12:42, time: 0.326, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0214, loss_cls: 2.9022, loss_bbox: 1.5673, loss: 4.5355 +2022-09-02 03:19:37,523 - mmdet - INFO - Epoch [6][6600/7390] lr: 2.000e-02, eta: 4:12:26, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0220, loss_cls: 2.9102, loss_bbox: 1.5568, loss: 4.5356 +2022-09-02 03:19:54,521 - mmdet - INFO - Epoch [6][6650/7390] lr: 2.000e-02, eta: 4:12:09, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0218, loss_cls: 2.8976, loss_bbox: 1.5590, loss: 4.5252 +2022-09-02 03:20:11,141 - mmdet - INFO - Epoch [6][6700/7390] lr: 2.000e-02, eta: 4:11:52, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0224, loss_cls: 2.9155, loss_bbox: 1.5624, loss: 4.5465 +2022-09-02 03:20:27,737 - mmdet - INFO - Epoch [6][6750/7390] lr: 2.000e-02, eta: 4:11:35, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0217, loss_cls: 2.8987, loss_bbox: 1.5801, loss: 4.5461 +2022-09-02 03:20:44,524 - mmdet - INFO - Epoch [6][6800/7390] lr: 2.000e-02, eta: 4:11:18, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0218, loss_cls: 2.9183, loss_bbox: 1.5727, loss: 4.5586 +2022-09-02 03:21:01,184 - mmdet - INFO - Epoch [6][6850/7390] lr: 2.000e-02, eta: 4:11:01, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0227, loss_cls: 2.9369, loss_bbox: 1.5488, loss: 4.5554 +2022-09-02 03:21:18,009 - mmdet - INFO - Epoch [6][6900/7390] lr: 2.000e-02, eta: 4:10:45, time: 0.336, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0211, loss_cls: 2.9035, loss_bbox: 1.5673, loss: 4.5372 +2022-09-02 03:21:34,567 - mmdet - INFO - Epoch [6][6950/7390] lr: 2.000e-02, eta: 4:10:28, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.9172, loss_bbox: 1.5666, loss: 4.5524 +2022-09-02 03:21:51,754 - mmdet - INFO - Epoch [6][7000/7390] lr: 2.000e-02, eta: 4:10:11, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0228, loss_cls: 2.9501, loss_bbox: 1.5590, loss: 4.5787 +2022-09-02 03:22:08,603 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 03:22:08,603 - mmdet - INFO - Epoch [6][7050/7390] lr: 2.000e-02, eta: 4:09:55, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0222, loss_cls: 2.9068, loss_bbox: 1.5688, loss: 4.5450 +2022-09-02 03:22:25,143 - mmdet - INFO - Epoch [6][7100/7390] lr: 2.000e-02, eta: 4:09:38, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0221, loss_cls: 2.9209, loss_bbox: 1.5527, loss: 4.5408 +2022-09-02 03:22:41,910 - mmdet - INFO - Epoch [6][7150/7390] lr: 2.000e-02, eta: 4:09:21, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0220, loss_cls: 2.9261, loss_bbox: 1.5659, loss: 4.5603 +2022-09-02 03:22:58,513 - mmdet - INFO - Epoch [6][7200/7390] lr: 2.000e-02, eta: 4:09:04, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0224, loss_cls: 2.9236, loss_bbox: 1.5690, loss: 4.5614 +2022-09-02 03:23:15,497 - mmdet - INFO - Epoch [6][7250/7390] lr: 2.000e-02, eta: 4:08:47, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0226, loss_cls: 2.9207, loss_bbox: 1.5622, loss: 4.5528 +2022-09-02 03:23:32,386 - mmdet - INFO - Epoch [6][7300/7390] lr: 2.000e-02, eta: 4:08:31, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0227, loss_cls: 2.9160, loss_bbox: 1.5542, loss: 4.5406 +2022-09-02 03:23:49,259 - mmdet - INFO - Epoch [6][7350/7390] lr: 2.000e-02, eta: 4:08:14, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9077, loss_bbox: 1.5571, loss: 4.5340 +2022-09-02 03:24:02,640 - mmdet - INFO - Saving checkpoint at 6 epochs +2022-09-02 03:24:24,153 - mmdet - INFO - Epoch [7][50/7390] lr: 2.000e-02, eta: 4:07:34, time: 0.401, data_time: 0.071, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0221, loss_cls: 2.9208, loss_bbox: 1.5600, loss: 4.5484 +2022-09-02 03:24:41,413 - mmdet - INFO - Epoch [7][100/7390] lr: 2.000e-02, eta: 4:07:17, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0219, loss_cls: 2.9180, loss_bbox: 1.5621, loss: 4.5473 +2022-09-02 03:24:58,714 - mmdet - INFO - Epoch [7][150/7390] lr: 2.000e-02, eta: 4:07:01, time: 0.347, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0227, loss_cls: 2.9164, loss_bbox: 1.5584, loss: 4.5447 +2022-09-02 03:25:15,699 - mmdet - INFO - Epoch [7][200/7390] lr: 2.000e-02, eta: 4:06:45, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0219, loss_cls: 2.9125, loss_bbox: 1.5545, loss: 4.5349 +2022-09-02 03:25:32,150 - mmdet - INFO - Epoch [7][250/7390] lr: 2.000e-02, eta: 4:06:27, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9413, loss_bbox: 1.5625, loss: 4.5719 +2022-09-02 03:25:48,706 - mmdet - INFO - Epoch [7][300/7390] lr: 2.000e-02, eta: 4:06:10, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0223, loss_cls: 2.9226, loss_bbox: 1.5574, loss: 4.5486 +2022-09-02 03:26:05,528 - mmdet - INFO - Epoch [7][350/7390] lr: 2.000e-02, eta: 4:05:54, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0219, loss_cls: 2.9202, loss_bbox: 1.5567, loss: 4.5455 +2022-09-02 03:26:22,527 - mmdet - INFO - Epoch [7][400/7390] lr: 2.000e-02, eta: 4:05:37, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0218, loss_cls: 2.8924, loss_bbox: 1.5632, loss: 4.5222 +2022-09-02 03:26:39,377 - mmdet - INFO - Epoch [7][450/7390] lr: 2.000e-02, eta: 4:05:21, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0217, loss_cls: 2.9101, loss_bbox: 1.5689, loss: 4.5456 +2022-09-02 03:26:56,378 - mmdet - INFO - Epoch [7][500/7390] lr: 2.000e-02, eta: 4:05:04, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9136, loss_bbox: 1.5700, loss: 4.5529 +2022-09-02 03:27:13,480 - mmdet - INFO - Epoch [7][550/7390] lr: 2.000e-02, eta: 4:04:47, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0225, loss_cls: 2.9166, loss_bbox: 1.5647, loss: 4.5513 +2022-09-02 03:27:30,111 - mmdet - INFO - Epoch [7][600/7390] lr: 2.000e-02, eta: 4:04:31, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0214, loss_cls: 2.9079, loss_bbox: 1.5631, loss: 4.5371 +2022-09-02 03:27:47,294 - mmdet - INFO - Epoch [7][650/7390] lr: 2.000e-02, eta: 4:04:14, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0226, loss_cls: 2.9336, loss_bbox: 1.5498, loss: 4.5529 +2022-09-02 03:28:04,647 - mmdet - INFO - Epoch [7][700/7390] lr: 2.000e-02, eta: 4:03:58, time: 0.347, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0226, loss_cls: 2.9183, loss_bbox: 1.5631, loss: 4.5509 +2022-09-02 03:28:21,766 - mmdet - INFO - Epoch [7][750/7390] lr: 2.000e-02, eta: 4:03:42, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9172, loss_bbox: 1.5542, loss: 4.5394 +2022-09-02 03:28:38,966 - mmdet - INFO - Epoch [7][800/7390] lr: 2.000e-02, eta: 4:03:25, time: 0.344, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0216, loss_cls: 2.8858, loss_bbox: 1.5508, loss: 4.5030 +2022-09-02 03:28:55,514 - mmdet - INFO - Epoch [7][850/7390] lr: 2.000e-02, eta: 4:03:08, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0222, loss_cls: 2.9153, loss_bbox: 1.5557, loss: 4.5392 +2022-09-02 03:29:12,645 - mmdet - INFO - Epoch [7][900/7390] lr: 2.000e-02, eta: 4:02:52, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0223, loss_cls: 2.9115, loss_bbox: 1.5558, loss: 4.5365 +2022-09-02 03:29:29,369 - mmdet - INFO - Epoch [7][950/7390] lr: 2.000e-02, eta: 4:02:35, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0217, loss_cls: 2.9033, loss_bbox: 1.5645, loss: 4.5351 +2022-09-02 03:29:46,437 - mmdet - INFO - Epoch [7][1000/7390] lr: 2.000e-02, eta: 4:02:19, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0224, loss_cls: 2.9075, loss_bbox: 1.5628, loss: 4.5390 +2022-09-02 03:30:03,121 - mmdet - INFO - Epoch [7][1050/7390] lr: 2.000e-02, eta: 4:02:02, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0222, loss_cls: 2.9164, loss_bbox: 1.5569, loss: 4.5425 +2022-09-02 03:30:19,860 - mmdet - INFO - Epoch [7][1100/7390] lr: 2.000e-02, eta: 4:01:45, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0221, loss_cls: 2.8931, loss_bbox: 1.5660, loss: 4.5271 +2022-09-02 03:30:36,717 - mmdet - INFO - Epoch [7][1150/7390] lr: 2.000e-02, eta: 4:01:28, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0227, loss_cls: 2.9270, loss_bbox: 1.5642, loss: 4.5608 +2022-09-02 03:30:53,590 - mmdet - INFO - Epoch [7][1200/7390] lr: 2.000e-02, eta: 4:01:11, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9195, loss_bbox: 1.5687, loss: 4.5577 +2022-09-02 03:31:10,428 - mmdet - INFO - Epoch [7][1250/7390] lr: 2.000e-02, eta: 4:00:55, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0224, loss_cls: 2.9184, loss_bbox: 1.5493, loss: 4.5369 +2022-09-02 03:31:27,446 - mmdet - INFO - Epoch [7][1300/7390] lr: 2.000e-02, eta: 4:00:38, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0219, loss_cls: 2.9023, loss_bbox: 1.5686, loss: 4.5389 +2022-09-02 03:31:44,022 - mmdet - INFO - Epoch [7][1350/7390] lr: 2.000e-02, eta: 4:00:21, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0211, loss_cls: 2.8894, loss_bbox: 1.5579, loss: 4.5137 +2022-09-02 03:32:00,984 - mmdet - INFO - Epoch [7][1400/7390] lr: 2.000e-02, eta: 4:00:05, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0219, loss_cls: 2.8863, loss_bbox: 1.5626, loss: 4.5173 +2022-09-02 03:32:17,449 - mmdet - INFO - Epoch [7][1450/7390] lr: 2.000e-02, eta: 3:59:48, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0219, loss_cls: 2.9140, loss_bbox: 1.5689, loss: 4.5509 +2022-09-02 03:32:33,849 - mmdet - INFO - Epoch [7][1500/7390] lr: 2.000e-02, eta: 3:59:30, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0211, loss_cls: 2.8885, loss_bbox: 1.5653, loss: 4.5203 +2022-09-02 03:32:50,496 - mmdet - INFO - Epoch [7][1550/7390] lr: 2.000e-02, eta: 3:59:14, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0224, loss_cls: 2.8987, loss_bbox: 1.5632, loss: 4.5315 +2022-09-02 03:33:07,289 - mmdet - INFO - Epoch [7][1600/7390] lr: 2.000e-02, eta: 3:58:57, time: 0.335, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0216, loss_cls: 2.9009, loss_bbox: 1.5658, loss: 4.5344 +2022-09-02 03:33:23,905 - mmdet - INFO - Epoch [7][1650/7390] lr: 2.000e-02, eta: 3:58:40, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9146, loss_bbox: 1.5583, loss: 4.5419 +2022-09-02 03:33:40,703 - mmdet - INFO - Epoch [7][1700/7390] lr: 2.000e-02, eta: 3:58:23, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0220, loss_cls: 2.8942, loss_bbox: 1.5666, loss: 4.5291 +2022-09-02 03:33:57,118 - mmdet - INFO - Epoch [7][1750/7390] lr: 2.000e-02, eta: 3:58:06, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0218, loss_cls: 2.8941, loss_bbox: 1.5618, loss: 4.5236 +2022-09-02 03:34:13,935 - mmdet - INFO - Epoch [7][1800/7390] lr: 2.000e-02, eta: 3:57:49, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0223, loss_cls: 2.9113, loss_bbox: 1.5604, loss: 4.5405 +2022-09-02 03:34:30,894 - mmdet - INFO - Epoch [7][1850/7390] lr: 2.000e-02, eta: 3:57:33, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9169, loss_bbox: 1.5522, loss: 4.5378 +2022-09-02 03:34:48,058 - mmdet - INFO - Epoch [7][1900/7390] lr: 2.000e-02, eta: 3:57:16, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0229, loss_cls: 2.9427, loss_bbox: 1.5624, loss: 4.5752 +2022-09-02 03:35:05,214 - mmdet - INFO - Epoch [7][1950/7390] lr: 2.000e-02, eta: 3:57:00, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0223, loss_cls: 2.9100, loss_bbox: 1.5498, loss: 4.5295 +2022-09-02 03:35:21,871 - mmdet - INFO - Epoch [7][2000/7390] lr: 2.000e-02, eta: 3:56:43, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0221, loss_cls: 2.9179, loss_bbox: 1.5459, loss: 4.5319 +2022-09-02 03:35:39,042 - mmdet - INFO - Epoch [7][2050/7390] lr: 2.000e-02, eta: 3:56:27, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0228, loss_cls: 2.9284, loss_bbox: 1.5687, loss: 4.5684 +2022-09-02 03:35:55,526 - mmdet - INFO - Epoch [7][2100/7390] lr: 2.000e-02, eta: 3:56:10, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0216, loss_cls: 2.9012, loss_bbox: 1.5566, loss: 4.5254 +2022-09-02 03:36:12,439 - mmdet - INFO - Epoch [7][2150/7390] lr: 2.000e-02, eta: 3:55:53, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0222, loss_cls: 2.9109, loss_bbox: 1.5527, loss: 4.5329 +2022-09-02 03:36:29,194 - mmdet - INFO - Epoch [7][2200/7390] lr: 2.000e-02, eta: 3:55:36, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0222, loss_cls: 2.9262, loss_bbox: 1.5574, loss: 4.5528 +2022-09-02 03:36:45,959 - mmdet - INFO - Epoch [7][2250/7390] lr: 2.000e-02, eta: 3:55:19, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0223, loss_cls: 2.8992, loss_bbox: 1.5548, loss: 4.5232 +2022-09-02 03:37:02,649 - mmdet - INFO - Epoch [7][2300/7390] lr: 2.000e-02, eta: 3:55:03, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9154, loss_bbox: 1.5596, loss: 4.5431 +2022-09-02 03:37:19,279 - mmdet - INFO - Epoch [7][2350/7390] lr: 2.000e-02, eta: 3:54:46, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0222, loss_cls: 2.9079, loss_bbox: 1.5593, loss: 4.5359 +2022-09-02 03:37:36,042 - mmdet - INFO - Epoch [7][2400/7390] lr: 2.000e-02, eta: 3:54:29, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.9270, loss_bbox: 1.5600, loss: 4.5561 +2022-09-02 03:37:53,098 - mmdet - INFO - Epoch [7][2450/7390] lr: 2.000e-02, eta: 3:54:12, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.9158, loss_bbox: 1.5518, loss: 4.5352 +2022-09-02 03:38:10,009 - mmdet - INFO - Epoch [7][2500/7390] lr: 2.000e-02, eta: 3:53:56, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0225, loss_cls: 2.9148, loss_bbox: 1.5568, loss: 4.5410 +2022-09-02 03:38:26,488 - mmdet - INFO - Epoch [7][2550/7390] lr: 2.000e-02, eta: 3:53:39, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0215, loss_cls: 2.8949, loss_bbox: 1.5571, loss: 4.5186 +2022-09-02 03:38:43,005 - mmdet - INFO - Epoch [7][2600/7390] lr: 2.000e-02, eta: 3:53:22, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9144, loss_bbox: 1.5609, loss: 4.5435 +2022-09-02 03:38:59,915 - mmdet - INFO - Epoch [7][2650/7390] lr: 2.000e-02, eta: 3:53:05, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9269, loss_bbox: 1.5643, loss: 4.5601 +2022-09-02 03:39:16,758 - mmdet - INFO - Epoch [7][2700/7390] lr: 2.000e-02, eta: 3:52:48, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.9199, loss_bbox: 1.5574, loss: 4.5451 +2022-09-02 03:39:33,267 - mmdet - INFO - Epoch [7][2750/7390] lr: 2.000e-02, eta: 3:52:31, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0222, loss_cls: 2.9147, loss_bbox: 1.5540, loss: 4.5377 +2022-09-02 03:39:50,514 - mmdet - INFO - Epoch [7][2800/7390] lr: 2.000e-02, eta: 3:52:15, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0231, loss_cls: 2.9286, loss_bbox: 1.5558, loss: 4.5551 +2022-09-02 03:40:07,006 - mmdet - INFO - Epoch [7][2850/7390] lr: 2.000e-02, eta: 3:51:58, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0216, loss_cls: 2.8884, loss_bbox: 1.5563, loss: 4.5125 +2022-09-02 03:40:24,076 - mmdet - INFO - Epoch [7][2900/7390] lr: 2.000e-02, eta: 3:51:41, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0223, loss_cls: 2.9123, loss_bbox: 1.5517, loss: 4.5327 +2022-09-02 03:40:40,876 - mmdet - INFO - Epoch [7][2950/7390] lr: 2.000e-02, eta: 3:51:25, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0225, loss_cls: 2.9278, loss_bbox: 1.5510, loss: 4.5481 +2022-09-02 03:40:57,582 - mmdet - INFO - Epoch [7][3000/7390] lr: 2.000e-02, eta: 3:51:08, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0222, loss_cls: 2.9202, loss_bbox: 1.5576, loss: 4.5464 +2022-09-02 03:41:14,350 - mmdet - INFO - Epoch [7][3050/7390] lr: 2.000e-02, eta: 3:50:51, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0222, loss_cls: 2.9039, loss_bbox: 1.5540, loss: 4.5270 +2022-09-02 03:41:31,450 - mmdet - INFO - Epoch [7][3100/7390] lr: 2.000e-02, eta: 3:50:35, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0225, loss_cls: 2.9069, loss_bbox: 1.5491, loss: 4.5261 +2022-09-02 03:41:47,951 - mmdet - INFO - Epoch [7][3150/7390] lr: 2.000e-02, eta: 3:50:17, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0215, loss_cls: 2.9128, loss_bbox: 1.5633, loss: 4.5427 +2022-09-02 03:42:04,812 - mmdet - INFO - Epoch [7][3200/7390] lr: 2.000e-02, eta: 3:50:01, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0220, loss_cls: 2.8922, loss_bbox: 1.5646, loss: 4.5251 +2022-09-02 03:42:21,440 - mmdet - INFO - Epoch [7][3250/7390] lr: 2.000e-02, eta: 3:49:44, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0219, loss_cls: 2.9212, loss_bbox: 1.5521, loss: 4.5412 +2022-09-02 03:42:38,435 - mmdet - INFO - Epoch [7][3300/7390] lr: 2.000e-02, eta: 3:49:27, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0223, loss_cls: 2.9087, loss_bbox: 1.5546, loss: 4.5318 +2022-09-02 03:42:55,250 - mmdet - INFO - Epoch [7][3350/7390] lr: 2.000e-02, eta: 3:49:11, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0226, loss_cls: 2.9236, loss_bbox: 1.5532, loss: 4.5467 +2022-09-02 03:43:11,864 - mmdet - INFO - Epoch [7][3400/7390] lr: 2.000e-02, eta: 3:48:54, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0222, loss_cls: 2.9330, loss_bbox: 1.5621, loss: 4.5645 +2022-09-02 03:43:29,032 - mmdet - INFO - Epoch [7][3450/7390] lr: 2.000e-02, eta: 3:48:37, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0230, loss_cls: 2.9194, loss_bbox: 1.5406, loss: 4.5303 +2022-09-02 03:43:45,990 - mmdet - INFO - Epoch [7][3500/7390] lr: 2.000e-02, eta: 3:48:21, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.9142, loss_bbox: 1.5504, loss: 4.5335 +2022-09-02 03:44:02,805 - mmdet - INFO - Epoch [7][3550/7390] lr: 2.000e-02, eta: 3:48:04, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.9034, loss_bbox: 1.5658, loss: 4.5375 +2022-09-02 03:44:20,118 - mmdet - INFO - Epoch [7][3600/7390] lr: 2.000e-02, eta: 3:47:48, time: 0.346, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0222, loss_cls: 2.9219, loss_bbox: 1.5556, loss: 4.5453 +2022-09-02 03:44:37,181 - mmdet - INFO - Epoch [7][3650/7390] lr: 2.000e-02, eta: 3:47:31, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0221, loss_cls: 2.9256, loss_bbox: 1.5570, loss: 4.5509 +2022-09-02 03:44:54,203 - mmdet - INFO - Epoch [7][3700/7390] lr: 2.000e-02, eta: 3:47:14, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0223, loss_cls: 2.9200, loss_bbox: 1.5732, loss: 4.5619 +2022-09-02 03:45:10,954 - mmdet - INFO - Epoch [7][3750/7390] lr: 2.000e-02, eta: 3:46:58, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0220, loss_cls: 2.9178, loss_bbox: 1.5634, loss: 4.5498 +2022-09-02 03:45:28,036 - mmdet - INFO - Epoch [7][3800/7390] lr: 2.000e-02, eta: 3:46:41, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9043, loss_bbox: 1.5588, loss: 4.5325 +2022-09-02 03:45:44,721 - mmdet - INFO - Epoch [7][3850/7390] lr: 2.000e-02, eta: 3:46:24, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0216, loss_cls: 2.9024, loss_bbox: 1.5591, loss: 4.5290 +2022-09-02 03:46:01,879 - mmdet - INFO - Epoch [7][3900/7390] lr: 2.000e-02, eta: 3:46:08, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0223, loss_cls: 2.9087, loss_bbox: 1.5618, loss: 4.5390 +2022-09-02 03:46:18,707 - mmdet - INFO - Epoch [7][3950/7390] lr: 2.000e-02, eta: 3:45:51, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0223, loss_cls: 2.9091, loss_bbox: 1.5508, loss: 4.5294 +2022-09-02 03:46:35,174 - mmdet - INFO - Epoch [7][4000/7390] lr: 2.000e-02, eta: 3:45:34, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0220, loss_cls: 2.9074, loss_bbox: 1.5541, loss: 4.5298 +2022-09-02 03:46:51,806 - mmdet - INFO - Epoch [7][4050/7390] lr: 2.000e-02, eta: 3:45:17, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.9153, loss_bbox: 1.5529, loss: 4.5360 +2022-09-02 03:47:08,533 - mmdet - INFO - Epoch [7][4100/7390] lr: 2.000e-02, eta: 3:45:00, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9152, loss_bbox: 1.5522, loss: 4.5355 +2022-09-02 03:47:25,282 - mmdet - INFO - Epoch [7][4150/7390] lr: 2.000e-02, eta: 3:44:44, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0218, loss_cls: 2.8927, loss_bbox: 1.5677, loss: 4.5285 +2022-09-02 03:47:41,517 - mmdet - INFO - Epoch [7][4200/7390] lr: 2.000e-02, eta: 3:44:26, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0212, loss_cls: 2.8907, loss_bbox: 1.5530, loss: 4.5101 +2022-09-02 03:47:58,817 - mmdet - INFO - Epoch [7][4250/7390] lr: 2.000e-02, eta: 3:44:10, time: 0.346, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0225, loss_cls: 2.9174, loss_bbox: 1.5612, loss: 4.5480 +2022-09-02 03:48:15,457 - mmdet - INFO - Epoch [7][4300/7390] lr: 2.000e-02, eta: 3:43:53, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0224, loss_cls: 2.9092, loss_bbox: 1.5559, loss: 4.5341 +2022-09-02 03:48:32,313 - mmdet - INFO - Epoch [7][4350/7390] lr: 2.000e-02, eta: 3:43:36, time: 0.337, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0218, loss_cls: 2.9018, loss_bbox: 1.5610, loss: 4.5303 +2022-09-02 03:48:49,288 - mmdet - INFO - Epoch [7][4400/7390] lr: 2.000e-02, eta: 3:43:20, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0226, loss_cls: 2.9135, loss_bbox: 1.5530, loss: 4.5371 +2022-09-02 03:49:06,150 - mmdet - INFO - Epoch [7][4450/7390] lr: 2.000e-02, eta: 3:43:03, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0225, loss_cls: 2.9277, loss_bbox: 1.5546, loss: 4.5521 +2022-09-02 03:49:22,807 - mmdet - INFO - Epoch [7][4500/7390] lr: 2.000e-02, eta: 3:42:46, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0223, loss_cls: 2.8984, loss_bbox: 1.5534, loss: 4.5210 +2022-09-02 03:49:39,905 - mmdet - INFO - Epoch [7][4550/7390] lr: 2.000e-02, eta: 3:42:30, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0223, loss_cls: 2.9049, loss_bbox: 1.5537, loss: 4.5268 +2022-09-02 03:49:56,702 - mmdet - INFO - Epoch [7][4600/7390] lr: 2.000e-02, eta: 3:42:13, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.9135, loss_bbox: 1.5557, loss: 4.5372 +2022-09-02 03:50:13,547 - mmdet - INFO - Epoch [7][4650/7390] lr: 2.000e-02, eta: 3:41:56, time: 0.336, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0227, loss_cls: 2.9373, loss_bbox: 1.5574, loss: 4.5646 +2022-09-02 03:50:30,272 - mmdet - INFO - Epoch [7][4700/7390] lr: 2.000e-02, eta: 3:41:39, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0217, loss_cls: 2.8894, loss_bbox: 1.5515, loss: 4.5081 +2022-09-02 03:50:46,762 - mmdet - INFO - Epoch [7][4750/7390] lr: 2.000e-02, eta: 3:41:22, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0220, loss_cls: 2.9144, loss_bbox: 1.5510, loss: 4.5330 +2022-09-02 03:51:03,583 - mmdet - INFO - Epoch [7][4800/7390] lr: 2.000e-02, eta: 3:41:06, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0217, loss_cls: 2.9056, loss_bbox: 1.5508, loss: 4.5238 +2022-09-02 03:51:20,247 - mmdet - INFO - Epoch [7][4850/7390] lr: 2.000e-02, eta: 3:40:49, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.9045, loss_bbox: 1.5572, loss: 4.5294 +2022-09-02 03:51:36,956 - mmdet - INFO - Epoch [7][4900/7390] lr: 2.000e-02, eta: 3:40:32, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0216, loss_cls: 2.9085, loss_bbox: 1.5520, loss: 4.5276 +2022-09-02 03:51:53,153 - mmdet - INFO - Epoch [7][4950/7390] lr: 2.000e-02, eta: 3:40:15, time: 0.324, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0216, loss_cls: 2.9034, loss_bbox: 1.5560, loss: 4.5266 +2022-09-02 03:52:10,358 - mmdet - INFO - Epoch [7][5000/7390] lr: 2.000e-02, eta: 3:39:58, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0224, loss_cls: 2.8888, loss_bbox: 1.5518, loss: 4.5098 +2022-09-02 03:52:27,078 - mmdet - INFO - Epoch [7][5050/7390] lr: 2.000e-02, eta: 3:39:41, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0225, loss_cls: 2.9223, loss_bbox: 1.5669, loss: 4.5586 +2022-09-02 03:52:43,247 - mmdet - INFO - Epoch [7][5100/7390] lr: 2.000e-02, eta: 3:39:24, time: 0.324, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0216, loss_cls: 2.9020, loss_bbox: 1.5597, loss: 4.5301 +2022-09-02 03:53:00,036 - mmdet - INFO - Epoch [7][5150/7390] lr: 2.000e-02, eta: 3:39:07, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0219, loss_cls: 2.9112, loss_bbox: 1.5609, loss: 4.5406 +2022-09-02 03:53:16,763 - mmdet - INFO - Epoch [7][5200/7390] lr: 2.000e-02, eta: 3:38:51, time: 0.335, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0223, loss_cls: 2.9086, loss_bbox: 1.5543, loss: 4.5321 +2022-09-02 03:53:33,418 - mmdet - INFO - Epoch [7][5250/7390] lr: 2.000e-02, eta: 3:38:34, time: 0.333, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0220, loss_cls: 2.9170, loss_bbox: 1.5531, loss: 4.5387 +2022-09-02 03:53:50,107 - mmdet - INFO - Epoch [7][5300/7390] lr: 2.000e-02, eta: 3:38:17, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0224, loss_cls: 2.9163, loss_bbox: 1.5656, loss: 4.5514 +2022-09-02 03:54:06,310 - mmdet - INFO - Epoch [7][5350/7390] lr: 2.000e-02, eta: 3:38:00, time: 0.324, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0216, loss_cls: 2.9098, loss_bbox: 1.5620, loss: 4.5387 +2022-09-02 03:54:22,944 - mmdet - INFO - Epoch [7][5400/7390] lr: 2.000e-02, eta: 3:37:43, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.9160, loss_bbox: 1.5553, loss: 4.5395 +2022-09-02 03:54:39,456 - mmdet - INFO - Epoch [7][5450/7390] lr: 2.000e-02, eta: 3:37:26, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0216, loss_cls: 2.9001, loss_bbox: 1.5738, loss: 4.5415 +2022-09-02 03:54:56,078 - mmdet - INFO - Epoch [7][5500/7390] lr: 2.000e-02, eta: 3:37:09, time: 0.332, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0220, loss_cls: 2.9073, loss_bbox: 1.5571, loss: 4.5329 +2022-09-02 03:55:12,716 - mmdet - INFO - Epoch [7][5550/7390] lr: 2.000e-02, eta: 3:36:52, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0224, loss_cls: 2.9143, loss_bbox: 1.5525, loss: 4.5356 +2022-09-02 03:55:29,697 - mmdet - INFO - Epoch [7][5600/7390] lr: 2.000e-02, eta: 3:36:35, time: 0.339, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0222, loss_cls: 2.9087, loss_bbox: 1.5675, loss: 4.5448 +2022-09-02 03:55:46,655 - mmdet - INFO - Epoch [7][5650/7390] lr: 2.000e-02, eta: 3:36:19, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0222, loss_cls: 2.9243, loss_bbox: 1.5630, loss: 4.5561 +2022-09-02 03:56:03,774 - mmdet - INFO - Epoch [7][5700/7390] lr: 2.000e-02, eta: 3:36:02, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0225, loss_cls: 2.9288, loss_bbox: 1.5576, loss: 4.5555 +2022-09-02 03:56:20,136 - mmdet - INFO - Epoch [7][5750/7390] lr: 2.000e-02, eta: 3:35:45, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0214, loss_cls: 2.8871, loss_bbox: 1.5587, loss: 4.5129 +2022-09-02 03:56:36,345 - mmdet - INFO - Epoch [7][5800/7390] lr: 2.000e-02, eta: 3:35:28, time: 0.324, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.8937, loss_bbox: 1.5630, loss: 4.5246 +2022-09-02 03:56:52,973 - mmdet - INFO - Epoch [7][5850/7390] lr: 2.000e-02, eta: 3:35:11, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.9131, loss_bbox: 1.5583, loss: 4.5390 +2022-09-02 03:57:09,689 - mmdet - INFO - Epoch [7][5900/7390] lr: 2.000e-02, eta: 3:34:54, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0215, loss_cls: 2.9066, loss_bbox: 1.5647, loss: 4.5381 +2022-09-02 03:57:26,393 - mmdet - INFO - Epoch [7][5950/7390] lr: 2.000e-02, eta: 3:34:37, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0220, loss_cls: 2.8939, loss_bbox: 1.5504, loss: 4.5130 +2022-09-02 03:57:43,112 - mmdet - INFO - Epoch [7][6000/7390] lr: 2.000e-02, eta: 3:34:21, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0228, loss_cls: 2.9374, loss_bbox: 1.5573, loss: 4.5649 +2022-09-02 03:57:59,353 - mmdet - INFO - Epoch [7][6050/7390] lr: 2.000e-02, eta: 3:34:04, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0216, loss_cls: 2.9148, loss_bbox: 1.5561, loss: 4.5385 +2022-09-02 03:58:16,284 - mmdet - INFO - Epoch [7][6100/7390] lr: 2.000e-02, eta: 3:33:47, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0218, loss_cls: 2.9019, loss_bbox: 1.5568, loss: 4.5263 +2022-09-02 03:58:33,012 - mmdet - INFO - Epoch [7][6150/7390] lr: 2.000e-02, eta: 3:33:30, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0223, loss_cls: 2.8977, loss_bbox: 1.5581, loss: 4.5245 +2022-09-02 03:58:49,981 - mmdet - INFO - Epoch [7][6200/7390] lr: 2.000e-02, eta: 3:33:13, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0229, loss_cls: 2.9120, loss_bbox: 1.5529, loss: 4.5354 +2022-09-02 03:59:06,995 - mmdet - INFO - Epoch [7][6250/7390] lr: 2.000e-02, eta: 3:32:57, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0217, loss_cls: 2.9091, loss_bbox: 1.5575, loss: 4.5337 +2022-09-02 03:59:23,427 - mmdet - INFO - Epoch [7][6300/7390] lr: 2.000e-02, eta: 3:32:40, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0218, loss_cls: 2.9270, loss_bbox: 1.5478, loss: 4.5427 +2022-09-02 03:59:39,955 - mmdet - INFO - Epoch [7][6350/7390] lr: 2.000e-02, eta: 3:32:23, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0217, loss_cls: 2.8933, loss_bbox: 1.5678, loss: 4.5278 +2022-09-02 03:59:56,535 - mmdet - INFO - Epoch [7][6400/7390] lr: 2.000e-02, eta: 3:32:06, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0220, loss_cls: 2.9021, loss_bbox: 1.5524, loss: 4.5224 +2022-09-02 04:00:13,238 - mmdet - INFO - Epoch [7][6450/7390] lr: 2.000e-02, eta: 3:31:49, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.9074, loss_bbox: 1.5629, loss: 4.5385 +2022-09-02 04:00:29,882 - mmdet - INFO - Epoch [7][6500/7390] lr: 2.000e-02, eta: 3:31:32, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0218, loss_cls: 2.8940, loss_bbox: 1.5595, loss: 4.5214 +2022-09-02 04:00:46,730 - mmdet - INFO - Epoch [7][6550/7390] lr: 2.000e-02, eta: 3:31:16, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0221, loss_cls: 2.9086, loss_bbox: 1.5527, loss: 4.5289 +2022-09-02 04:01:03,625 - mmdet - INFO - Epoch [7][6600/7390] lr: 2.000e-02, eta: 3:30:59, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0214, loss_cls: 2.9076, loss_bbox: 1.5506, loss: 4.5248 +2022-09-02 04:01:20,788 - mmdet - INFO - Epoch [7][6650/7390] lr: 2.000e-02, eta: 3:30:42, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0229, loss_cls: 2.9237, loss_bbox: 1.5509, loss: 4.5452 +2022-09-02 04:01:37,110 - mmdet - INFO - Epoch [7][6700/7390] lr: 2.000e-02, eta: 3:30:25, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0221, loss_cls: 2.9202, loss_bbox: 1.5448, loss: 4.5334 +2022-09-02 04:01:53,615 - mmdet - INFO - Epoch [7][6750/7390] lr: 2.000e-02, eta: 3:30:08, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0215, loss_cls: 2.8879, loss_bbox: 1.5529, loss: 4.5083 +2022-09-02 04:02:10,226 - mmdet - INFO - Epoch [7][6800/7390] lr: 2.000e-02, eta: 3:29:51, time: 0.332, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.9011, loss_bbox: 1.5538, loss: 4.5226 +2022-09-02 04:02:27,301 - mmdet - INFO - Epoch [7][6850/7390] lr: 2.000e-02, eta: 3:29:35, time: 0.342, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0222, loss_cls: 2.9219, loss_bbox: 1.5587, loss: 4.5496 +2022-09-02 04:02:44,128 - mmdet - INFO - Epoch [7][6900/7390] lr: 2.000e-02, eta: 3:29:18, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0222, loss_cls: 2.9049, loss_bbox: 1.5632, loss: 4.5371 +2022-09-02 04:03:00,566 - mmdet - INFO - Epoch [7][6950/7390] lr: 2.000e-02, eta: 3:29:01, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0221, loss_cls: 2.9164, loss_bbox: 1.5522, loss: 4.5369 +2022-09-02 04:03:16,892 - mmdet - INFO - Epoch [7][7000/7390] lr: 2.000e-02, eta: 3:28:44, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0217, loss_cls: 2.8925, loss_bbox: 1.5504, loss: 4.5114 +2022-09-02 04:03:33,716 - mmdet - INFO - Epoch [7][7050/7390] lr: 2.000e-02, eta: 3:28:27, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0223, loss_cls: 2.8989, loss_bbox: 1.5524, loss: 4.5201 +2022-09-02 04:03:50,538 - mmdet - INFO - Epoch [7][7100/7390] lr: 2.000e-02, eta: 3:28:11, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0220, loss_cls: 2.9067, loss_bbox: 1.5626, loss: 4.5376 +2022-09-02 04:04:07,401 - mmdet - INFO - Epoch [7][7150/7390] lr: 2.000e-02, eta: 3:27:54, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0220, loss_cls: 2.8968, loss_bbox: 1.5605, loss: 4.5258 +2022-09-02 04:04:24,344 - mmdet - INFO - Epoch [7][7200/7390] lr: 2.000e-02, eta: 3:27:37, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0225, loss_cls: 2.9135, loss_bbox: 1.5589, loss: 4.5422 +2022-09-02 04:04:41,187 - mmdet - INFO - Epoch [7][7250/7390] lr: 2.000e-02, eta: 3:27:20, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0218, loss_cls: 2.8923, loss_bbox: 1.5566, loss: 4.5165 +2022-09-02 04:04:58,194 - mmdet - INFO - Epoch [7][7300/7390] lr: 2.000e-02, eta: 3:27:04, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0223, loss_cls: 2.9086, loss_bbox: 1.5538, loss: 4.5315 +2022-09-02 04:05:14,777 - mmdet - INFO - Epoch [7][7350/7390] lr: 2.000e-02, eta: 3:26:47, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0221, loss_cls: 2.8963, loss_bbox: 1.5599, loss: 4.5245 +2022-09-02 04:05:28,993 - mmdet - INFO - Saving checkpoint at 7 epochs +2022-09-02 04:05:50,810 - mmdet - INFO - Epoch [8][50/7390] lr: 2.000e-02, eta: 3:26:10, time: 0.408, data_time: 0.073, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.9108, loss_bbox: 1.5549, loss: 4.5338 +2022-09-02 04:06:07,891 - mmdet - INFO - Epoch [8][100/7390] lr: 2.000e-02, eta: 3:25:53, time: 0.342, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9079, loss_bbox: 1.5486, loss: 4.5255 +2022-09-02 04:06:24,734 - mmdet - INFO - Epoch [8][150/7390] lr: 2.000e-02, eta: 3:25:37, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0225, loss_cls: 2.9266, loss_bbox: 1.5567, loss: 4.5518 +2022-09-02 04:06:41,293 - mmdet - INFO - Epoch [8][200/7390] lr: 2.000e-02, eta: 3:25:20, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0224, loss_cls: 2.9234, loss_bbox: 1.5429, loss: 4.5356 +2022-09-02 04:06:58,003 - mmdet - INFO - Epoch [8][250/7390] lr: 2.000e-02, eta: 3:25:03, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.8993, loss_bbox: 1.5524, loss: 4.5198 +2022-09-02 04:07:14,615 - mmdet - INFO - Epoch [8][300/7390] lr: 2.000e-02, eta: 3:24:46, time: 0.332, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0226, loss_cls: 2.9319, loss_bbox: 1.5429, loss: 4.5445 +2022-09-02 04:07:31,261 - mmdet - INFO - Epoch [8][350/7390] lr: 2.000e-02, eta: 3:24:29, time: 0.333, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0220, loss_cls: 2.9088, loss_bbox: 1.5615, loss: 4.5386 +2022-09-02 04:07:48,275 - mmdet - INFO - Epoch [8][400/7390] lr: 2.000e-02, eta: 3:24:13, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0221, loss_cls: 2.9007, loss_bbox: 1.5520, loss: 4.5206 +2022-09-02 04:08:04,903 - mmdet - INFO - Epoch [8][450/7390] lr: 2.000e-02, eta: 3:23:56, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.9150, loss_bbox: 1.5440, loss: 4.5279 +2022-09-02 04:08:21,480 - mmdet - INFO - Epoch [8][500/7390] lr: 2.000e-02, eta: 3:23:39, time: 0.331, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0219, loss_cls: 2.8968, loss_bbox: 1.5570, loss: 4.5221 +2022-09-02 04:08:38,201 - mmdet - INFO - Epoch [8][550/7390] lr: 2.000e-02, eta: 3:23:22, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0224, loss_cls: 2.9116, loss_bbox: 1.5529, loss: 4.5339 +2022-09-02 04:08:55,045 - mmdet - INFO - Epoch [8][600/7390] lr: 2.000e-02, eta: 3:23:05, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0220, loss_cls: 2.9062, loss_bbox: 1.5422, loss: 4.5161 +2022-09-02 04:09:11,782 - mmdet - INFO - Epoch [8][650/7390] lr: 2.000e-02, eta: 3:22:49, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.9212, loss_bbox: 1.5642, loss: 4.5537 +2022-09-02 04:09:28,313 - mmdet - INFO - Epoch [8][700/7390] lr: 2.000e-02, eta: 3:22:32, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0221, loss_cls: 2.8900, loss_bbox: 1.5513, loss: 4.5098 +2022-09-02 04:09:45,286 - mmdet - INFO - Epoch [8][750/7390] lr: 2.000e-02, eta: 3:22:15, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0224, loss_cls: 2.9079, loss_bbox: 1.5517, loss: 4.5282 +2022-09-02 04:10:01,905 - mmdet - INFO - Epoch [8][800/7390] lr: 2.000e-02, eta: 3:21:58, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0218, loss_cls: 2.9113, loss_bbox: 1.5519, loss: 4.5313 +2022-09-02 04:10:19,060 - mmdet - INFO - Epoch [8][850/7390] lr: 2.000e-02, eta: 3:21:42, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0229, loss_cls: 2.9001, loss_bbox: 1.5475, loss: 4.5175 +2022-09-02 04:10:35,873 - mmdet - INFO - Epoch [8][900/7390] lr: 2.000e-02, eta: 3:21:25, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0214, loss_cls: 2.8963, loss_bbox: 1.5576, loss: 4.5196 +2022-09-02 04:10:52,952 - mmdet - INFO - Epoch [8][950/7390] lr: 2.000e-02, eta: 3:21:08, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0224, loss_cls: 2.9169, loss_bbox: 1.5443, loss: 4.5307 +2022-09-02 04:11:09,507 - mmdet - INFO - Epoch [8][1000/7390] lr: 2.000e-02, eta: 3:20:51, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.8984, loss_bbox: 1.5484, loss: 4.5161 +2022-09-02 04:11:25,765 - mmdet - INFO - Epoch [8][1050/7390] lr: 2.000e-02, eta: 3:20:34, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.9054, loss_bbox: 1.5458, loss: 4.5189 +2022-09-02 04:11:42,514 - mmdet - INFO - Epoch [8][1100/7390] lr: 2.000e-02, eta: 3:20:18, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9096, loss_bbox: 1.5563, loss: 4.5348 +2022-09-02 04:11:59,303 - mmdet - INFO - Epoch [8][1150/7390] lr: 2.000e-02, eta: 3:20:01, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.8906, loss_bbox: 1.5530, loss: 4.5126 +2022-09-02 04:12:16,154 - mmdet - INFO - Epoch [8][1200/7390] lr: 2.000e-02, eta: 3:19:44, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0231, loss_cls: 2.9272, loss_bbox: 1.5551, loss: 4.5528 +2022-09-02 04:12:32,490 - mmdet - INFO - Epoch [8][1250/7390] lr: 2.000e-02, eta: 3:19:27, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0207, loss_cls: 2.8757, loss_bbox: 1.5632, loss: 4.5042 +2022-09-02 04:12:49,134 - mmdet - INFO - Epoch [8][1300/7390] lr: 2.000e-02, eta: 3:19:10, time: 0.332, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0216, loss_cls: 2.8918, loss_bbox: 1.5532, loss: 4.5128 +2022-09-02 04:13:05,494 - mmdet - INFO - Epoch [8][1350/7390] lr: 2.000e-02, eta: 3:18:53, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0217, loss_cls: 2.8882, loss_bbox: 1.5539, loss: 4.5094 +2022-09-02 04:13:22,385 - mmdet - INFO - Epoch [8][1400/7390] lr: 2.000e-02, eta: 3:18:37, time: 0.338, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9030, loss_bbox: 1.5481, loss: 4.5190 +2022-09-02 04:13:38,709 - mmdet - INFO - Epoch [8][1450/7390] lr: 2.000e-02, eta: 3:18:19, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0219, loss_cls: 2.9001, loss_bbox: 1.5513, loss: 4.5187 +2022-09-02 04:13:55,724 - mmdet - INFO - Epoch [8][1500/7390] lr: 2.000e-02, eta: 3:18:03, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0224, loss_cls: 2.8970, loss_bbox: 1.5558, loss: 4.5220 +2022-09-02 04:14:12,610 - mmdet - INFO - Epoch [8][1550/7390] lr: 2.000e-02, eta: 3:17:46, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0215, loss_cls: 2.9015, loss_bbox: 1.5544, loss: 4.5224 +2022-09-02 04:14:29,386 - mmdet - INFO - Epoch [8][1600/7390] lr: 2.000e-02, eta: 3:17:29, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.8968, loss_bbox: 1.5593, loss: 4.5251 +2022-09-02 04:14:46,302 - mmdet - INFO - Epoch [8][1650/7390] lr: 2.000e-02, eta: 3:17:13, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0226, loss_cls: 2.9008, loss_bbox: 1.5523, loss: 4.5226 +2022-09-02 04:15:02,983 - mmdet - INFO - Epoch [8][1700/7390] lr: 2.000e-02, eta: 3:16:56, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0213, loss_cls: 2.8938, loss_bbox: 1.5493, loss: 4.5095 +2022-09-02 04:15:19,255 - mmdet - INFO - Epoch [8][1750/7390] lr: 2.000e-02, eta: 3:16:39, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0216, loss_cls: 2.8891, loss_bbox: 1.5461, loss: 4.5021 +2022-09-02 04:15:36,085 - mmdet - INFO - Epoch [8][1800/7390] lr: 2.000e-02, eta: 3:16:22, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0225, loss_cls: 2.8916, loss_bbox: 1.5520, loss: 4.5126 +2022-09-02 04:15:52,360 - mmdet - INFO - Epoch [8][1850/7390] lr: 2.000e-02, eta: 3:16:05, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0217, loss_cls: 2.8768, loss_bbox: 1.5434, loss: 4.4883 +2022-09-02 04:16:09,243 - mmdet - INFO - Epoch [8][1900/7390] lr: 2.000e-02, eta: 3:15:48, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0217, loss_cls: 2.8929, loss_bbox: 1.5601, loss: 4.5202 +2022-09-02 04:16:25,847 - mmdet - INFO - Epoch [8][1950/7390] lr: 2.000e-02, eta: 3:15:32, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0219, loss_cls: 2.8908, loss_bbox: 1.5641, loss: 4.5231 +2022-09-02 04:16:42,786 - mmdet - INFO - Epoch [8][2000/7390] lr: 2.000e-02, eta: 3:15:15, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0228, loss_cls: 2.9143, loss_bbox: 1.5528, loss: 4.5373 +2022-09-02 04:16:59,843 - mmdet - INFO - Epoch [8][2050/7390] lr: 2.000e-02, eta: 3:14:58, time: 0.342, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.9063, loss_bbox: 1.5567, loss: 4.5316 +2022-09-02 04:17:16,791 - mmdet - INFO - Epoch [8][2100/7390] lr: 2.000e-02, eta: 3:14:42, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0222, loss_cls: 2.9054, loss_bbox: 1.5509, loss: 4.5252 +2022-09-02 04:17:33,602 - mmdet - INFO - Epoch [8][2150/7390] lr: 2.000e-02, eta: 3:14:25, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0220, loss_cls: 2.8972, loss_bbox: 1.5599, loss: 4.5254 +2022-09-02 04:17:50,067 - mmdet - INFO - Epoch [8][2200/7390] lr: 2.000e-02, eta: 3:14:08, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0224, loss_cls: 2.9023, loss_bbox: 1.5537, loss: 4.5261 +2022-09-02 04:18:06,561 - mmdet - INFO - Epoch [8][2250/7390] lr: 2.000e-02, eta: 3:13:51, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0221, loss_cls: 2.9053, loss_bbox: 1.5500, loss: 4.5245 +2022-09-02 04:18:23,298 - mmdet - INFO - Epoch [8][2300/7390] lr: 2.000e-02, eta: 3:13:34, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0215, loss_cls: 2.8953, loss_bbox: 1.5582, loss: 4.5204 +2022-09-02 04:18:39,566 - mmdet - INFO - Epoch [8][2350/7390] lr: 2.000e-02, eta: 3:13:17, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0219, loss_cls: 2.9106, loss_bbox: 1.5644, loss: 4.5426 +2022-09-02 04:18:56,481 - mmdet - INFO - Epoch [8][2400/7390] lr: 2.000e-02, eta: 3:13:01, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0222, loss_cls: 2.9041, loss_bbox: 1.5626, loss: 4.5354 +2022-09-02 04:19:13,274 - mmdet - INFO - Epoch [8][2450/7390] lr: 2.000e-02, eta: 3:12:44, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9140, loss_bbox: 1.5460, loss: 4.5289 +2022-09-02 04:19:29,770 - mmdet - INFO - Epoch [8][2500/7390] lr: 2.000e-02, eta: 3:12:27, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8976, loss_bbox: 1.5529, loss: 4.5176 +2022-09-02 04:19:46,166 - mmdet - INFO - Epoch [8][2550/7390] lr: 2.000e-02, eta: 3:12:10, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0220, loss_cls: 2.9068, loss_bbox: 1.5571, loss: 4.5325 +2022-09-02 04:20:03,343 - mmdet - INFO - Epoch [8][2600/7390] lr: 2.000e-02, eta: 3:11:53, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0223, loss_cls: 2.8951, loss_bbox: 1.5536, loss: 4.5177 +2022-09-02 04:20:20,233 - mmdet - INFO - Epoch [8][2650/7390] lr: 2.000e-02, eta: 3:11:37, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0225, loss_cls: 2.8991, loss_bbox: 1.5638, loss: 4.5330 +2022-09-02 04:20:37,228 - mmdet - INFO - Epoch [8][2700/7390] lr: 2.000e-02, eta: 3:11:20, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0218, loss_cls: 2.9011, loss_bbox: 1.5505, loss: 4.5185 +2022-09-02 04:20:53,977 - mmdet - INFO - Epoch [8][2750/7390] lr: 2.000e-02, eta: 3:11:03, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9042, loss_bbox: 1.5474, loss: 4.5195 +2022-09-02 04:21:10,636 - mmdet - INFO - Epoch [8][2800/7390] lr: 2.000e-02, eta: 3:10:47, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0223, loss_cls: 2.8889, loss_bbox: 1.5508, loss: 4.5093 +2022-09-02 04:21:26,982 - mmdet - INFO - Epoch [8][2850/7390] lr: 2.000e-02, eta: 3:10:30, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0219, loss_cls: 2.8992, loss_bbox: 1.5565, loss: 4.5246 +2022-09-02 04:21:43,508 - mmdet - INFO - Epoch [8][2900/7390] lr: 2.000e-02, eta: 3:10:13, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0215, loss_cls: 2.8789, loss_bbox: 1.5555, loss: 4.5012 +2022-09-02 04:22:00,451 - mmdet - INFO - Epoch [8][2950/7390] lr: 2.000e-02, eta: 3:09:56, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0224, loss_cls: 2.8972, loss_bbox: 1.5478, loss: 4.5146 +2022-09-02 04:22:16,887 - mmdet - INFO - Epoch [8][3000/7390] lr: 2.000e-02, eta: 3:09:39, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8969, loss_bbox: 1.5539, loss: 4.5187 +2022-09-02 04:22:33,912 - mmdet - INFO - Epoch [8][3050/7390] lr: 2.000e-02, eta: 3:09:22, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0484, loss_rpn_bbox: 0.0230, loss_cls: 2.9026, loss_bbox: 1.5526, loss: 4.5266 +2022-09-02 04:22:50,320 - mmdet - INFO - Epoch [8][3100/7390] lr: 2.000e-02, eta: 3:09:05, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0214, loss_cls: 2.8736, loss_bbox: 1.5534, loss: 4.4936 +2022-09-02 04:23:06,970 - mmdet - INFO - Epoch [8][3150/7390] lr: 2.000e-02, eta: 3:08:49, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0220, loss_cls: 2.9051, loss_bbox: 1.5619, loss: 4.5353 +2022-09-02 04:23:23,578 - mmdet - INFO - Epoch [8][3200/7390] lr: 2.000e-02, eta: 3:08:32, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0220, loss_cls: 2.9005, loss_bbox: 1.5530, loss: 4.5222 +2022-09-02 04:23:40,658 - mmdet - INFO - Epoch [8][3250/7390] lr: 2.000e-02, eta: 3:08:15, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0225, loss_cls: 2.9124, loss_bbox: 1.5455, loss: 4.5276 +2022-09-02 04:23:57,650 - mmdet - INFO - Epoch [8][3300/7390] lr: 2.000e-02, eta: 3:07:59, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0225, loss_cls: 2.9255, loss_bbox: 1.5534, loss: 4.5477 +2022-09-02 04:24:14,504 - mmdet - INFO - Epoch [8][3350/7390] lr: 2.000e-02, eta: 3:07:42, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0223, loss_cls: 2.9041, loss_bbox: 1.5503, loss: 4.5236 +2022-09-02 04:24:30,998 - mmdet - INFO - Epoch [8][3400/7390] lr: 2.000e-02, eta: 3:07:25, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0221, loss_cls: 2.9031, loss_bbox: 1.5590, loss: 4.5310 +2022-09-02 04:24:47,446 - mmdet - INFO - Epoch [8][3450/7390] lr: 2.000e-02, eta: 3:07:08, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0225, loss_cls: 2.9226, loss_bbox: 1.5471, loss: 4.5389 +2022-09-02 04:25:04,027 - mmdet - INFO - Epoch [8][3500/7390] lr: 2.000e-02, eta: 3:06:51, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0217, loss_cls: 2.9023, loss_bbox: 1.5596, loss: 4.5295 +2022-09-02 04:25:20,346 - mmdet - INFO - Epoch [8][3550/7390] lr: 2.000e-02, eta: 3:06:34, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0215, loss_cls: 2.8873, loss_bbox: 1.5595, loss: 4.5142 +2022-09-02 04:25:36,905 - mmdet - INFO - Epoch [8][3600/7390] lr: 2.000e-02, eta: 3:06:17, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0219, loss_cls: 2.9065, loss_bbox: 1.5507, loss: 4.5255 +2022-09-02 04:25:53,643 - mmdet - INFO - Epoch [8][3650/7390] lr: 2.000e-02, eta: 3:06:01, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0217, loss_cls: 2.8994, loss_bbox: 1.5478, loss: 4.5147 +2022-09-02 04:26:10,666 - mmdet - INFO - Epoch [8][3700/7390] lr: 2.000e-02, eta: 3:05:44, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0232, loss_cls: 2.9300, loss_bbox: 1.5508, loss: 4.5516 +2022-09-02 04:26:27,918 - mmdet - INFO - Epoch [8][3750/7390] lr: 2.000e-02, eta: 3:05:27, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0226, loss_cls: 2.9082, loss_bbox: 1.5509, loss: 4.5282 +2022-09-02 04:26:44,905 - mmdet - INFO - Epoch [8][3800/7390] lr: 2.000e-02, eta: 3:05:11, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0222, loss_cls: 2.8927, loss_bbox: 1.5528, loss: 4.5142 +2022-09-02 04:27:01,476 - mmdet - INFO - Epoch [8][3850/7390] lr: 2.000e-02, eta: 3:04:54, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0220, loss_cls: 2.8947, loss_bbox: 1.5406, loss: 4.5030 +2022-09-02 04:27:18,345 - mmdet - INFO - Epoch [8][3900/7390] lr: 2.000e-02, eta: 3:04:37, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0218, loss_cls: 2.8914, loss_bbox: 1.5507, loss: 4.5095 +2022-09-02 04:27:35,126 - mmdet - INFO - Epoch [8][3950/7390] lr: 2.000e-02, eta: 3:04:21, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0219, loss_cls: 2.9126, loss_bbox: 1.5505, loss: 4.5313 +2022-09-02 04:27:51,820 - mmdet - INFO - Epoch [8][4000/7390] lr: 2.000e-02, eta: 3:04:04, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.9107, loss_bbox: 1.5623, loss: 4.5416 +2022-09-02 04:28:11,786 - mmdet - INFO - Epoch [8][4050/7390] lr: 2.000e-02, eta: 3:03:49, time: 0.400, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0214, loss_cls: 2.8967, loss_bbox: 1.5544, loss: 4.5177 +2022-09-02 04:28:30,720 - mmdet - INFO - Epoch [8][4100/7390] lr: 2.000e-02, eta: 3:03:33, time: 0.379, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0222, loss_cls: 2.9152, loss_bbox: 1.5597, loss: 4.5436 +2022-09-02 04:28:47,424 - mmdet - INFO - Epoch [8][4150/7390] lr: 2.000e-02, eta: 3:03:17, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0220, loss_cls: 2.8846, loss_bbox: 1.5544, loss: 4.5073 +2022-09-02 04:29:10,956 - mmdet - INFO - Epoch [8][4200/7390] lr: 2.000e-02, eta: 3:03:04, time: 0.470, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0219, loss_cls: 2.9056, loss_bbox: 1.5552, loss: 4.5281 +2022-09-02 04:29:30,309 - mmdet - INFO - Epoch [8][4250/7390] lr: 2.000e-02, eta: 3:02:48, time: 0.387, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0226, loss_cls: 2.9095, loss_bbox: 1.5490, loss: 4.5283 +2022-09-02 04:29:47,129 - mmdet - INFO - Epoch [8][4300/7390] lr: 2.000e-02, eta: 3:02:32, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0222, loss_cls: 2.8934, loss_bbox: 1.5513, loss: 4.5137 +2022-09-02 04:30:06,062 - mmdet - INFO - Epoch [8][4350/7390] lr: 2.000e-02, eta: 3:02:16, time: 0.379, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.9060, loss_bbox: 1.5569, loss: 4.5306 +2022-09-02 04:30:22,869 - mmdet - INFO - Epoch [8][4400/7390] lr: 2.000e-02, eta: 3:01:59, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.9077, loss_bbox: 1.5443, loss: 4.5196 +2022-09-02 04:30:39,348 - mmdet - INFO - Epoch [8][4450/7390] lr: 2.000e-02, eta: 3:01:43, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0216, loss_cls: 2.8994, loss_bbox: 1.5479, loss: 4.5149 +2022-09-02 04:30:56,316 - mmdet - INFO - Epoch [8][4500/7390] lr: 2.000e-02, eta: 3:01:26, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0222, loss_cls: 2.8966, loss_bbox: 1.5516, loss: 4.5162 +2022-09-02 04:31:13,088 - mmdet - INFO - Epoch [8][4550/7390] lr: 2.000e-02, eta: 3:01:09, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0219, loss_cls: 2.9087, loss_bbox: 1.5613, loss: 4.5374 +2022-09-02 04:31:32,546 - mmdet - INFO - Epoch [8][4600/7390] lr: 2.000e-02, eta: 3:00:54, time: 0.389, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0222, loss_cls: 2.8859, loss_bbox: 1.5466, loss: 4.5013 +2022-09-02 04:31:49,200 - mmdet - INFO - Epoch [8][4650/7390] lr: 2.000e-02, eta: 3:00:37, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.9053, loss_bbox: 1.5486, loss: 4.5219 +2022-09-02 04:32:05,990 - mmdet - INFO - Epoch [8][4700/7390] lr: 2.000e-02, eta: 3:00:20, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0216, loss_cls: 2.8821, loss_bbox: 1.5581, loss: 4.5079 +2022-09-02 04:32:21,954 - mmdet - INFO - Epoch [8][4750/7390] lr: 2.000e-02, eta: 3:00:03, time: 0.320, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0210, loss_cls: 2.8920, loss_bbox: 1.5603, loss: 4.5180 +2022-09-02 04:32:38,077 - mmdet - INFO - Epoch [8][4800/7390] lr: 2.000e-02, eta: 2:59:46, time: 0.322, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0214, loss_cls: 2.8984, loss_bbox: 1.5505, loss: 4.5153 +2022-09-02 04:32:54,749 - mmdet - INFO - Epoch [8][4850/7390] lr: 2.000e-02, eta: 2:59:29, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.8954, loss_bbox: 1.5526, loss: 4.5153 +2022-09-02 04:33:11,066 - mmdet - INFO - Epoch [8][4900/7390] lr: 2.000e-02, eta: 2:59:12, time: 0.327, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.9013, loss_bbox: 1.5515, loss: 4.5217 +2022-09-02 04:33:27,903 - mmdet - INFO - Epoch [8][4950/7390] lr: 2.000e-02, eta: 2:58:55, time: 0.336, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0218, loss_cls: 2.8943, loss_bbox: 1.5493, loss: 4.5119 +2022-09-02 04:33:44,608 - mmdet - INFO - Epoch [8][5000/7390] lr: 2.000e-02, eta: 2:58:38, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0212, loss_cls: 2.8787, loss_bbox: 1.5627, loss: 4.5073 +2022-09-02 04:34:01,623 - mmdet - INFO - Epoch [8][5050/7390] lr: 2.000e-02, eta: 2:58:22, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9063, loss_bbox: 1.5486, loss: 4.5240 +2022-09-02 04:34:18,596 - mmdet - INFO - Epoch [8][5100/7390] lr: 2.000e-02, eta: 2:58:05, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0227, loss_cls: 2.9094, loss_bbox: 1.5520, loss: 4.5308 +2022-09-02 04:34:35,857 - mmdet - INFO - Epoch [8][5150/7390] lr: 2.000e-02, eta: 2:57:49, time: 0.346, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0227, loss_cls: 2.9077, loss_bbox: 1.5599, loss: 4.5374 +2022-09-02 04:34:52,744 - mmdet - INFO - Epoch [8][5200/7390] lr: 2.000e-02, eta: 2:57:32, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0222, loss_cls: 2.9031, loss_bbox: 1.5548, loss: 4.5262 +2022-09-02 04:35:09,248 - mmdet - INFO - Epoch [8][5250/7390] lr: 2.000e-02, eta: 2:57:15, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0214, loss_cls: 2.8952, loss_bbox: 1.5529, loss: 4.5143 +2022-09-02 04:35:25,856 - mmdet - INFO - Epoch [8][5300/7390] lr: 2.000e-02, eta: 2:56:58, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0217, loss_cls: 2.8927, loss_bbox: 1.5549, loss: 4.5153 +2022-09-02 04:35:43,284 - mmdet - INFO - Epoch [8][5350/7390] lr: 2.000e-02, eta: 2:56:42, time: 0.348, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.9096, loss_bbox: 1.5545, loss: 4.5329 +2022-09-02 04:35:59,853 - mmdet - INFO - Epoch [8][5400/7390] lr: 2.000e-02, eta: 2:56:25, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0216, loss_cls: 2.8931, loss_bbox: 1.5465, loss: 4.5067 +2022-09-02 04:36:16,759 - mmdet - INFO - Epoch [8][5450/7390] lr: 2.000e-02, eta: 2:56:08, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.9129, loss_bbox: 1.5435, loss: 4.5252 +2022-09-02 04:36:33,670 - mmdet - INFO - Epoch [8][5500/7390] lr: 2.000e-02, eta: 2:55:51, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0215, loss_cls: 2.8978, loss_bbox: 1.5472, loss: 4.5112 +2022-09-02 04:36:50,693 - mmdet - INFO - Epoch [8][5550/7390] lr: 2.000e-02, eta: 2:55:35, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0225, loss_cls: 2.9240, loss_bbox: 1.5422, loss: 4.5354 +2022-09-02 04:37:07,314 - mmdet - INFO - Epoch [8][5600/7390] lr: 2.000e-02, eta: 2:55:18, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0216, loss_cls: 2.9051, loss_bbox: 1.5541, loss: 4.5262 +2022-09-02 04:37:23,798 - mmdet - INFO - Epoch [8][5650/7390] lr: 2.000e-02, eta: 2:55:01, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.9113, loss_bbox: 1.5522, loss: 4.5312 +2022-09-02 04:37:40,481 - mmdet - INFO - Epoch [8][5700/7390] lr: 2.000e-02, eta: 2:54:44, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0218, loss_cls: 2.8765, loss_bbox: 1.5455, loss: 4.4896 +2022-09-02 04:37:57,207 - mmdet - INFO - Epoch [8][5750/7390] lr: 2.000e-02, eta: 2:54:27, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0221, loss_cls: 2.8904, loss_bbox: 1.5422, loss: 4.5012 +2022-09-02 04:38:13,678 - mmdet - INFO - Epoch [8][5800/7390] lr: 2.000e-02, eta: 2:54:10, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0215, loss_cls: 2.8719, loss_bbox: 1.5536, loss: 4.4921 +2022-09-02 04:38:30,434 - mmdet - INFO - Epoch [8][5850/7390] lr: 2.000e-02, eta: 2:53:54, time: 0.336, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0221, loss_cls: 2.8751, loss_bbox: 1.5520, loss: 4.4958 +2022-09-02 04:38:47,198 - mmdet - INFO - Epoch [8][5900/7390] lr: 2.000e-02, eta: 2:53:37, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0220, loss_cls: 2.9149, loss_bbox: 1.5543, loss: 4.5366 +2022-09-02 04:39:04,025 - mmdet - INFO - Epoch [8][5950/7390] lr: 2.000e-02, eta: 2:53:20, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0227, loss_cls: 2.9197, loss_bbox: 1.5468, loss: 4.5356 +2022-09-02 04:39:21,049 - mmdet - INFO - Epoch [8][6000/7390] lr: 2.000e-02, eta: 2:53:03, time: 0.340, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0231, loss_cls: 2.9246, loss_bbox: 1.5524, loss: 4.5488 +2022-09-02 04:39:37,387 - mmdet - INFO - Epoch [8][6050/7390] lr: 2.000e-02, eta: 2:52:46, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0212, loss_cls: 2.8958, loss_bbox: 1.5463, loss: 4.5077 +2022-09-02 04:39:54,254 - mmdet - INFO - Epoch [8][6100/7390] lr: 2.000e-02, eta: 2:52:30, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0222, loss_cls: 2.8983, loss_bbox: 1.5427, loss: 4.5097 +2022-09-02 04:40:11,173 - mmdet - INFO - Epoch [8][6150/7390] lr: 2.000e-02, eta: 2:52:13, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.8931, loss_bbox: 1.5470, loss: 4.5090 +2022-09-02 04:40:28,154 - mmdet - INFO - Epoch [8][6200/7390] lr: 2.000e-02, eta: 2:51:56, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0222, loss_cls: 2.8984, loss_bbox: 1.5585, loss: 4.5250 +2022-09-02 04:40:44,695 - mmdet - INFO - Epoch [8][6250/7390] lr: 2.000e-02, eta: 2:51:39, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0221, loss_cls: 2.8832, loss_bbox: 1.5472, loss: 4.4982 +2022-09-02 04:41:01,524 - mmdet - INFO - Epoch [8][6300/7390] lr: 2.000e-02, eta: 2:51:23, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9255, loss_bbox: 1.5452, loss: 4.5397 +2022-09-02 04:41:18,203 - mmdet - INFO - Epoch [8][6350/7390] lr: 2.000e-02, eta: 2:51:06, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0218, loss_cls: 2.8984, loss_bbox: 1.5469, loss: 4.5127 +2022-09-02 04:41:35,168 - mmdet - INFO - Epoch [8][6400/7390] lr: 2.000e-02, eta: 2:50:49, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0224, loss_cls: 2.9033, loss_bbox: 1.5351, loss: 4.5072 +2022-09-02 04:41:51,540 - mmdet - INFO - Epoch [8][6450/7390] lr: 2.000e-02, eta: 2:50:32, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0213, loss_cls: 2.8996, loss_bbox: 1.5574, loss: 4.5236 +2022-09-02 04:42:08,402 - mmdet - INFO - Epoch [8][6500/7390] lr: 2.000e-02, eta: 2:50:15, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0219, loss_cls: 2.8912, loss_bbox: 1.5512, loss: 4.5096 +2022-09-02 04:42:25,670 - mmdet - INFO - Epoch [8][6550/7390] lr: 2.000e-02, eta: 2:49:59, time: 0.346, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0221, loss_cls: 2.8831, loss_bbox: 1.5475, loss: 4.4982 +2022-09-02 04:42:42,823 - mmdet - INFO - Epoch [8][6600/7390] lr: 2.000e-02, eta: 2:49:42, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0222, loss_cls: 2.9002, loss_bbox: 1.5461, loss: 4.5156 +2022-09-02 04:42:59,983 - mmdet - INFO - Epoch [8][6650/7390] lr: 2.000e-02, eta: 2:49:26, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0219, loss_cls: 2.9053, loss_bbox: 1.5500, loss: 4.5228 +2022-09-02 04:43:16,575 - mmdet - INFO - Epoch [8][6700/7390] lr: 2.000e-02, eta: 2:49:09, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8929, loss_bbox: 1.5475, loss: 4.5073 +2022-09-02 04:43:32,854 - mmdet - INFO - Epoch [8][6750/7390] lr: 2.000e-02, eta: 2:48:52, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0212, loss_cls: 2.8808, loss_bbox: 1.5475, loss: 4.4949 +2022-09-02 04:43:49,657 - mmdet - INFO - Epoch [8][6800/7390] lr: 2.000e-02, eta: 2:48:35, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0215, loss_cls: 2.8895, loss_bbox: 1.5547, loss: 4.5105 +2022-09-02 04:44:06,284 - mmdet - INFO - Epoch [8][6850/7390] lr: 2.000e-02, eta: 2:48:18, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0216, loss_cls: 2.9013, loss_bbox: 1.5452, loss: 4.5136 +2022-09-02 04:44:23,370 - mmdet - INFO - Epoch [8][6900/7390] lr: 2.000e-02, eta: 2:48:02, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0221, loss_cls: 2.8999, loss_bbox: 1.5599, loss: 4.5287 +2022-09-02 04:44:39,936 - mmdet - INFO - Epoch [8][6950/7390] lr: 2.000e-02, eta: 2:47:45, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0223, loss_cls: 2.9066, loss_bbox: 1.5540, loss: 4.5296 +2022-09-02 04:44:56,799 - mmdet - INFO - Epoch [8][7000/7390] lr: 2.000e-02, eta: 2:47:28, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0221, loss_cls: 2.8943, loss_bbox: 1.5439, loss: 4.5061 +2022-09-02 04:45:13,193 - mmdet - INFO - Epoch [8][7050/7390] lr: 2.000e-02, eta: 2:47:11, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0222, loss_cls: 2.8989, loss_bbox: 1.5464, loss: 4.5137 +2022-09-02 04:45:30,136 - mmdet - INFO - Epoch [8][7100/7390] lr: 2.000e-02, eta: 2:46:54, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.9032, loss_bbox: 1.5447, loss: 4.5161 +2022-09-02 04:45:47,370 - mmdet - INFO - Epoch [8][7150/7390] lr: 2.000e-02, eta: 2:46:38, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0228, loss_cls: 2.9225, loss_bbox: 1.5428, loss: 4.5350 +2022-09-02 04:46:04,330 - mmdet - INFO - Epoch [8][7200/7390] lr: 2.000e-02, eta: 2:46:21, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.9041, loss_bbox: 1.5548, loss: 4.5261 +2022-09-02 04:46:20,502 - mmdet - INFO - Epoch [8][7250/7390] lr: 2.000e-02, eta: 2:46:04, time: 0.323, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.9032, loss_bbox: 1.5448, loss: 4.5148 +2022-09-02 04:46:37,847 - mmdet - INFO - Epoch [8][7300/7390] lr: 2.000e-02, eta: 2:45:48, time: 0.347, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0229, loss_cls: 2.9092, loss_bbox: 1.5390, loss: 4.5177 +2022-09-02 04:46:54,144 - mmdet - INFO - Epoch [8][7350/7390] lr: 2.000e-02, eta: 2:45:31, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0213, loss_cls: 2.8855, loss_bbox: 1.5435, loss: 4.4953 +2022-09-02 04:47:07,631 - mmdet - INFO - Saving checkpoint at 8 epochs +2022-09-02 04:47:29,245 - mmdet - INFO - Epoch [9][50/7390] lr: 2.000e-03, eta: 2:44:55, time: 0.405, data_time: 0.074, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.8789, loss_bbox: 1.5365, loss: 4.4833 +2022-09-02 04:47:45,913 - mmdet - INFO - Epoch [9][100/7390] lr: 2.000e-03, eta: 2:44:39, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0215, loss_cls: 2.8622, loss_bbox: 1.5345, loss: 4.4634 +2022-09-02 04:48:02,526 - mmdet - INFO - Epoch [9][150/7390] lr: 2.000e-03, eta: 2:44:22, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0217, loss_cls: 2.8554, loss_bbox: 1.5289, loss: 4.4520 +2022-09-02 04:48:19,097 - mmdet - INFO - Epoch [9][200/7390] lr: 2.000e-03, eta: 2:44:05, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0218, loss_cls: 2.8688, loss_bbox: 1.5367, loss: 4.4733 +2022-09-02 04:48:35,674 - mmdet - INFO - Epoch [9][250/7390] lr: 2.000e-03, eta: 2:43:48, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0218, loss_cls: 2.8552, loss_bbox: 1.5334, loss: 4.4560 +2022-09-02 04:48:52,684 - mmdet - INFO - Epoch [9][300/7390] lr: 2.000e-03, eta: 2:43:31, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.8746, loss_bbox: 1.5369, loss: 4.4798 +2022-09-02 04:49:09,605 - mmdet - INFO - Epoch [9][350/7390] lr: 2.000e-03, eta: 2:43:15, time: 0.339, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0223, loss_cls: 2.8706, loss_bbox: 1.5182, loss: 4.4565 +2022-09-02 04:49:26,833 - mmdet - INFO - Epoch [9][400/7390] lr: 2.000e-03, eta: 2:42:58, time: 0.344, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0217, loss_cls: 2.8550, loss_bbox: 1.5272, loss: 4.4488 +2022-09-02 04:49:43,946 - mmdet - INFO - Epoch [9][450/7390] lr: 2.000e-03, eta: 2:42:42, time: 0.343, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0225, loss_cls: 2.8593, loss_bbox: 1.5256, loss: 4.4537 +2022-09-02 04:49:59,990 - mmdet - INFO - Epoch [9][500/7390] lr: 2.000e-03, eta: 2:42:24, time: 0.321, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0208, loss_cls: 2.8391, loss_bbox: 1.5413, loss: 4.4453 +2022-09-02 04:50:16,568 - mmdet - INFO - Epoch [9][550/7390] lr: 2.000e-03, eta: 2:42:08, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0217, loss_cls: 2.8754, loss_bbox: 1.5274, loss: 4.4694 +2022-09-02 04:50:33,102 - mmdet - INFO - Epoch [9][600/7390] lr: 2.000e-03, eta: 2:41:51, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0221, loss_cls: 2.8818, loss_bbox: 1.5239, loss: 4.4742 +2022-09-02 04:50:49,674 - mmdet - INFO - Epoch [9][650/7390] lr: 2.000e-03, eta: 2:41:34, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0221, loss_cls: 2.8739, loss_bbox: 1.5317, loss: 4.4737 +2022-09-02 04:51:06,140 - mmdet - INFO - Epoch [9][700/7390] lr: 2.000e-03, eta: 2:41:17, time: 0.330, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0216, loss_cls: 2.8465, loss_bbox: 1.5386, loss: 4.4518 +2022-09-02 04:51:22,899 - mmdet - INFO - Epoch [9][750/7390] lr: 2.000e-03, eta: 2:41:00, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0220, loss_cls: 2.8520, loss_bbox: 1.5344, loss: 4.4540 +2022-09-02 04:51:39,553 - mmdet - INFO - Epoch [9][800/7390] lr: 2.000e-03, eta: 2:40:43, time: 0.333, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0219, loss_cls: 2.8695, loss_bbox: 1.5185, loss: 4.4549 +2022-09-02 04:51:56,374 - mmdet - INFO - Epoch [9][850/7390] lr: 2.000e-03, eta: 2:40:27, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0221, loss_cls: 2.8440, loss_bbox: 1.5259, loss: 4.4372 +2022-09-02 04:52:12,923 - mmdet - INFO - Epoch [9][900/7390] lr: 2.000e-03, eta: 2:40:10, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0216, loss_cls: 2.8519, loss_bbox: 1.5277, loss: 4.4465 +2022-09-02 04:52:29,469 - mmdet - INFO - Epoch [9][950/7390] lr: 2.000e-03, eta: 2:39:53, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0216, loss_cls: 2.8444, loss_bbox: 1.5350, loss: 4.4464 +2022-09-02 04:52:46,528 - mmdet - INFO - Epoch [9][1000/7390] lr: 2.000e-03, eta: 2:39:36, time: 0.341, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0225, loss_cls: 2.8738, loss_bbox: 1.5369, loss: 4.4788 +2022-09-02 04:53:03,453 - mmdet - INFO - Epoch [9][1050/7390] lr: 2.000e-03, eta: 2:39:20, time: 0.339, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0220, loss_cls: 2.8659, loss_bbox: 1.5183, loss: 4.4514 +2022-09-02 04:53:19,936 - mmdet - INFO - Epoch [9][1100/7390] lr: 2.000e-03, eta: 2:39:03, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0214, loss_cls: 2.8488, loss_bbox: 1.5206, loss: 4.4360 +2022-09-02 04:53:36,765 - mmdet - INFO - Epoch [9][1150/7390] lr: 2.000e-03, eta: 2:38:46, time: 0.337, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0218, loss_cls: 2.8484, loss_bbox: 1.5284, loss: 4.4438 +2022-09-02 04:53:53,855 - mmdet - INFO - Epoch [9][1200/7390] lr: 2.000e-03, eta: 2:38:29, time: 0.341, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0221, loss_cls: 2.8812, loss_bbox: 1.5291, loss: 4.4784 +2022-09-02 04:54:11,031 - mmdet - INFO - Epoch [9][1250/7390] lr: 2.000e-03, eta: 2:38:13, time: 0.344, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0224, loss_cls: 2.8858, loss_bbox: 1.5288, loss: 4.4827 +2022-09-02 04:54:27,983 - mmdet - INFO - Epoch [9][1300/7390] lr: 2.000e-03, eta: 2:37:56, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0215, loss_cls: 2.8516, loss_bbox: 1.5355, loss: 4.4533 +2022-09-02 04:54:44,407 - mmdet - INFO - Epoch [9][1350/7390] lr: 2.000e-03, eta: 2:37:39, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0210, loss_cls: 2.8437, loss_bbox: 1.5343, loss: 4.4428 +2022-09-02 04:55:01,251 - mmdet - INFO - Epoch [9][1400/7390] lr: 2.000e-03, eta: 2:37:22, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0217, loss_cls: 2.8537, loss_bbox: 1.5262, loss: 4.4465 +2022-09-02 04:55:18,435 - mmdet - INFO - Epoch [9][1450/7390] lr: 2.000e-03, eta: 2:37:06, time: 0.344, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0224, loss_cls: 2.8667, loss_bbox: 1.5273, loss: 4.4632 +2022-09-02 04:55:35,448 - mmdet - INFO - Epoch [9][1500/7390] lr: 2.000e-03, eta: 2:36:49, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0226, loss_cls: 2.8671, loss_bbox: 1.5237, loss: 4.4595 +2022-09-02 04:55:51,731 - mmdet - INFO - Epoch [9][1550/7390] lr: 2.000e-03, eta: 2:36:32, time: 0.326, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0215, loss_cls: 2.8570, loss_bbox: 1.5240, loss: 4.4474 +2022-09-02 04:56:08,680 - mmdet - INFO - Epoch [9][1600/7390] lr: 2.000e-03, eta: 2:36:16, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.8613, loss_bbox: 1.5337, loss: 4.4622 +2022-09-02 04:56:25,269 - mmdet - INFO - Epoch [9][1650/7390] lr: 2.000e-03, eta: 2:35:59, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0214, loss_cls: 2.8481, loss_bbox: 1.5380, loss: 4.4535 +2022-09-02 04:56:41,723 - mmdet - INFO - Epoch [9][1700/7390] lr: 2.000e-03, eta: 2:35:42, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0217, loss_cls: 2.8603, loss_bbox: 1.5309, loss: 4.4585 +2022-09-02 04:56:58,066 - mmdet - INFO - Epoch [9][1750/7390] lr: 2.000e-03, eta: 2:35:25, time: 0.327, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0215, loss_cls: 2.8507, loss_bbox: 1.5252, loss: 4.4424 +2022-09-02 04:57:15,041 - mmdet - INFO - Epoch [9][1800/7390] lr: 2.000e-03, eta: 2:35:08, time: 0.339, data_time: 0.012, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0223, loss_cls: 2.8550, loss_bbox: 1.5175, loss: 4.4403 +2022-09-02 04:57:31,818 - mmdet - INFO - Epoch [9][1850/7390] lr: 2.000e-03, eta: 2:34:51, time: 0.336, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0217, loss_cls: 2.8672, loss_bbox: 1.5183, loss: 4.4518 +2022-09-02 04:57:48,507 - mmdet - INFO - Epoch [9][1900/7390] lr: 2.000e-03, eta: 2:34:35, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0217, loss_cls: 2.8639, loss_bbox: 1.5243, loss: 4.4553 +2022-09-02 04:58:05,153 - mmdet - INFO - Epoch [9][1950/7390] lr: 2.000e-03, eta: 2:34:18, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0215, loss_cls: 2.8525, loss_bbox: 1.5212, loss: 4.4393 +2022-09-02 04:58:22,235 - mmdet - INFO - Epoch [9][2000/7390] lr: 2.000e-03, eta: 2:34:01, time: 0.342, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0222, loss_cls: 2.8672, loss_bbox: 1.5292, loss: 4.4643 +2022-09-02 04:58:38,772 - mmdet - INFO - Epoch [9][2050/7390] lr: 2.000e-03, eta: 2:33:44, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0212, loss_cls: 2.8626, loss_bbox: 1.5308, loss: 4.4587 +2022-09-02 04:58:55,643 - mmdet - INFO - Epoch [9][2100/7390] lr: 2.000e-03, eta: 2:33:28, time: 0.337, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0221, loss_cls: 2.8609, loss_bbox: 1.5201, loss: 4.4482 +2022-09-02 04:59:12,556 - mmdet - INFO - Epoch [9][2150/7390] lr: 2.000e-03, eta: 2:33:11, time: 0.339, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0217, loss_cls: 2.8452, loss_bbox: 1.5232, loss: 4.4359 +2022-09-02 04:59:29,492 - mmdet - INFO - Epoch [9][2200/7390] lr: 2.000e-03, eta: 2:32:54, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8671, loss_bbox: 1.5304, loss: 4.4656 +2022-09-02 04:59:46,290 - mmdet - INFO - Epoch [9][2250/7390] lr: 2.000e-03, eta: 2:32:37, time: 0.337, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0224, loss_cls: 2.8760, loss_bbox: 1.5294, loss: 4.4742 +2022-09-02 05:00:03,065 - mmdet - INFO - Epoch [9][2300/7390] lr: 2.000e-03, eta: 2:32:21, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0221, loss_cls: 2.8834, loss_bbox: 1.5258, loss: 4.4765 +2022-09-02 05:00:19,834 - mmdet - INFO - Epoch [9][2350/7390] lr: 2.000e-03, eta: 2:32:04, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0216, loss_cls: 2.8674, loss_bbox: 1.5175, loss: 4.4512 +2022-09-02 05:00:37,029 - mmdet - INFO - Epoch [9][2400/7390] lr: 2.000e-03, eta: 2:31:47, time: 0.344, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0226, loss_cls: 2.8855, loss_bbox: 1.5266, loss: 4.4802 +2022-09-02 05:00:53,789 - mmdet - INFO - Epoch [9][2450/7390] lr: 2.000e-03, eta: 2:31:31, time: 0.335, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8601, loss_bbox: 1.5385, loss: 4.4654 +2022-09-02 05:01:10,348 - mmdet - INFO - Epoch [9][2500/7390] lr: 2.000e-03, eta: 2:31:14, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0218, loss_cls: 2.8499, loss_bbox: 1.5193, loss: 4.4361 +2022-09-02 05:01:27,064 - mmdet - INFO - Epoch [9][2550/7390] lr: 2.000e-03, eta: 2:30:57, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0215, loss_cls: 2.8750, loss_bbox: 1.5337, loss: 4.4745 +2022-09-02 05:01:43,644 - mmdet - INFO - Epoch [9][2600/7390] lr: 2.000e-03, eta: 2:30:40, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0216, loss_cls: 2.8591, loss_bbox: 1.5126, loss: 4.4380 +2022-09-02 05:02:00,800 - mmdet - INFO - Epoch [9][2650/7390] lr: 2.000e-03, eta: 2:30:23, time: 0.343, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0224, loss_cls: 2.8695, loss_bbox: 1.5208, loss: 4.4601 +2022-09-02 05:02:18,186 - mmdet - INFO - Epoch [9][2700/7390] lr: 2.000e-03, eta: 2:30:07, time: 0.348, data_time: 0.012, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0219, loss_cls: 2.8634, loss_bbox: 1.5231, loss: 4.4535 +2022-09-02 05:02:34,564 - mmdet - INFO - Epoch [9][2750/7390] lr: 2.000e-03, eta: 2:29:50, time: 0.328, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0213, loss_cls: 2.8537, loss_bbox: 1.5242, loss: 4.4435 +2022-09-02 05:02:51,660 - mmdet - INFO - Epoch [9][2800/7390] lr: 2.000e-03, eta: 2:29:33, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0220, loss_cls: 2.8628, loss_bbox: 1.5285, loss: 4.4584 +2022-09-02 05:03:08,648 - mmdet - INFO - Epoch [9][2850/7390] lr: 2.000e-03, eta: 2:29:17, time: 0.340, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8739, loss_bbox: 1.5115, loss: 4.4534 +2022-09-02 05:03:25,343 - mmdet - INFO - Epoch [9][2900/7390] lr: 2.000e-03, eta: 2:29:00, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8596, loss_bbox: 1.5145, loss: 4.4413 +2022-09-02 05:03:42,348 - mmdet - INFO - Epoch [9][2950/7390] lr: 2.000e-03, eta: 2:28:43, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8697, loss_bbox: 1.5183, loss: 4.4550 +2022-09-02 05:03:58,853 - mmdet - INFO - Epoch [9][3000/7390] lr: 2.000e-03, eta: 2:28:26, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0216, loss_cls: 2.8699, loss_bbox: 1.5348, loss: 4.4708 +2022-09-02 05:04:15,535 - mmdet - INFO - Epoch [9][3050/7390] lr: 2.000e-03, eta: 2:28:10, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0213, loss_cls: 2.8369, loss_bbox: 1.5301, loss: 4.4337 +2022-09-02 05:04:32,361 - mmdet - INFO - Epoch [9][3100/7390] lr: 2.000e-03, eta: 2:27:53, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0212, loss_cls: 2.8319, loss_bbox: 1.5214, loss: 4.4190 +2022-09-02 05:04:49,219 - mmdet - INFO - Epoch [9][3150/7390] lr: 2.000e-03, eta: 2:27:36, time: 0.337, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.8673, loss_bbox: 1.5275, loss: 4.4624 +2022-09-02 05:05:06,117 - mmdet - INFO - Epoch [9][3200/7390] lr: 2.000e-03, eta: 2:27:19, time: 0.338, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8482, loss_bbox: 1.5251, loss: 4.4401 +2022-09-02 05:05:22,440 - mmdet - INFO - Epoch [9][3250/7390] lr: 2.000e-03, eta: 2:27:02, time: 0.327, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0220, loss_cls: 2.8560, loss_bbox: 1.5248, loss: 4.4491 +2022-09-02 05:05:39,306 - mmdet - INFO - Epoch [9][3300/7390] lr: 2.000e-03, eta: 2:26:46, time: 0.338, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0216, loss_cls: 2.8539, loss_bbox: 1.5269, loss: 4.4467 +2022-09-02 05:05:56,165 - mmdet - INFO - Epoch [9][3350/7390] lr: 2.000e-03, eta: 2:26:29, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0220, loss_cls: 2.8674, loss_bbox: 1.5225, loss: 4.4571 +2022-09-02 05:06:12,845 - mmdet - INFO - Epoch [9][3400/7390] lr: 2.000e-03, eta: 2:26:12, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0222, loss_cls: 2.8615, loss_bbox: 1.5184, loss: 4.4476 +2022-09-02 05:06:29,852 - mmdet - INFO - Epoch [9][3450/7390] lr: 2.000e-03, eta: 2:25:55, time: 0.341, data_time: 0.012, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0222, loss_cls: 2.8662, loss_bbox: 1.5175, loss: 4.4518 +2022-09-02 05:06:46,500 - mmdet - INFO - Epoch [9][3500/7390] lr: 2.000e-03, eta: 2:25:39, time: 0.333, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0213, loss_cls: 2.8431, loss_bbox: 1.5198, loss: 4.4292 +2022-09-02 05:07:03,078 - mmdet - INFO - Epoch [9][3550/7390] lr: 2.000e-03, eta: 2:25:22, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0217, loss_cls: 2.8669, loss_bbox: 1.5291, loss: 4.4632 +2022-09-02 05:07:19,771 - mmdet - INFO - Epoch [9][3600/7390] lr: 2.000e-03, eta: 2:25:05, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0217, loss_cls: 2.8612, loss_bbox: 1.5172, loss: 4.4446 +2022-09-02 05:07:36,713 - mmdet - INFO - Epoch [9][3650/7390] lr: 2.000e-03, eta: 2:24:48, time: 0.338, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0222, loss_cls: 2.8590, loss_bbox: 1.5237, loss: 4.4506 +2022-09-02 05:07:53,519 - mmdet - INFO - Epoch [9][3700/7390] lr: 2.000e-03, eta: 2:24:32, time: 0.337, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0217, loss_cls: 2.8762, loss_bbox: 1.5317, loss: 4.4744 +2022-09-02 05:08:09,827 - mmdet - INFO - Epoch [9][3750/7390] lr: 2.000e-03, eta: 2:24:15, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0217, loss_cls: 2.8768, loss_bbox: 1.5242, loss: 4.4673 +2022-09-02 05:08:26,541 - mmdet - INFO - Epoch [9][3800/7390] lr: 2.000e-03, eta: 2:23:58, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0217, loss_cls: 2.8533, loss_bbox: 1.5274, loss: 4.4472 +2022-09-02 05:08:43,044 - mmdet - INFO - Epoch [9][3850/7390] lr: 2.000e-03, eta: 2:23:41, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8579, loss_bbox: 1.5275, loss: 4.4522 +2022-09-02 05:09:00,291 - mmdet - INFO - Epoch [9][3900/7390] lr: 2.000e-03, eta: 2:23:24, time: 0.345, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0221, loss_cls: 2.8523, loss_bbox: 1.5249, loss: 4.4452 +2022-09-02 05:09:17,120 - mmdet - INFO - Epoch [9][3950/7390] lr: 2.000e-03, eta: 2:23:08, time: 0.337, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0217, loss_cls: 2.8526, loss_bbox: 1.5197, loss: 4.4388 +2022-09-02 05:09:33,896 - mmdet - INFO - Epoch [9][4000/7390] lr: 2.000e-03, eta: 2:22:51, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0218, loss_cls: 2.8532, loss_bbox: 1.5071, loss: 4.4272 +2022-09-02 05:09:50,868 - mmdet - INFO - Epoch [9][4050/7390] lr: 2.000e-03, eta: 2:22:34, time: 0.340, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0222, loss_cls: 2.8778, loss_bbox: 1.5215, loss: 4.4675 +2022-09-02 05:10:07,356 - mmdet - INFO - Epoch [9][4100/7390] lr: 2.000e-03, eta: 2:22:17, time: 0.329, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0215, loss_cls: 2.8772, loss_bbox: 1.5266, loss: 4.4702 +2022-09-02 05:10:24,100 - mmdet - INFO - Epoch [9][4150/7390] lr: 2.000e-03, eta: 2:22:01, time: 0.335, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8432, loss_bbox: 1.5230, loss: 4.4331 +2022-09-02 05:10:40,902 - mmdet - INFO - Epoch [9][4200/7390] lr: 2.000e-03, eta: 2:21:44, time: 0.336, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0216, loss_cls: 2.8411, loss_bbox: 1.5231, loss: 4.4303 +2022-09-02 05:10:57,984 - mmdet - INFO - Epoch [9][4250/7390] lr: 2.000e-03, eta: 2:21:27, time: 0.342, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0230, loss_cls: 2.8658, loss_bbox: 1.5163, loss: 4.4521 +2022-09-02 05:11:14,454 - mmdet - INFO - Epoch [9][4300/7390] lr: 2.000e-03, eta: 2:21:10, time: 0.329, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0220, loss_cls: 2.8505, loss_bbox: 1.5161, loss: 4.4342 +2022-09-02 05:11:31,401 - mmdet - INFO - Epoch [9][4350/7390] lr: 2.000e-03, eta: 2:20:54, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0213, loss_cls: 2.8557, loss_bbox: 1.5309, loss: 4.4527 +2022-09-02 05:11:48,282 - mmdet - INFO - Epoch [9][4400/7390] lr: 2.000e-03, eta: 2:20:37, time: 0.338, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0221, loss_cls: 2.8637, loss_bbox: 1.5188, loss: 4.4503 +2022-09-02 05:12:05,147 - mmdet - INFO - Epoch [9][4450/7390] lr: 2.000e-03, eta: 2:20:20, time: 0.338, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0217, loss_cls: 2.8695, loss_bbox: 1.5095, loss: 4.4451 +2022-09-02 05:12:21,688 - mmdet - INFO - Epoch [9][4500/7390] lr: 2.000e-03, eta: 2:20:03, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0213, loss_cls: 2.8437, loss_bbox: 1.5285, loss: 4.4384 +2022-09-02 05:12:38,288 - mmdet - INFO - Epoch [9][4550/7390] lr: 2.000e-03, eta: 2:19:46, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8467, loss_bbox: 1.5195, loss: 4.4329 +2022-09-02 05:12:55,222 - mmdet - INFO - Epoch [9][4600/7390] lr: 2.000e-03, eta: 2:19:30, time: 0.339, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.8451, loss_bbox: 1.5191, loss: 4.4319 +2022-09-02 05:13:11,548 - mmdet - INFO - Epoch [9][4650/7390] lr: 2.000e-03, eta: 2:19:13, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0212, loss_cls: 2.8488, loss_bbox: 1.5135, loss: 4.4277 +2022-09-02 05:13:28,341 - mmdet - INFO - Epoch [9][4700/7390] lr: 2.000e-03, eta: 2:18:56, time: 0.336, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0223, loss_cls: 2.8565, loss_bbox: 1.5246, loss: 4.4488 +2022-09-02 05:13:45,488 - mmdet - INFO - Epoch [9][4750/7390] lr: 2.000e-03, eta: 2:18:39, time: 0.344, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8752, loss_bbox: 1.5286, loss: 4.4717 +2022-09-02 05:14:02,626 - mmdet - INFO - Epoch [9][4800/7390] lr: 2.000e-03, eta: 2:18:23, time: 0.342, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0220, loss_cls: 2.8693, loss_bbox: 1.5255, loss: 4.4619 +2022-09-02 05:14:19,637 - mmdet - INFO - Epoch [9][4850/7390] lr: 2.000e-03, eta: 2:18:06, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0224, loss_cls: 2.8634, loss_bbox: 1.5110, loss: 4.4430 +2022-09-02 05:14:36,114 - mmdet - INFO - Epoch [9][4900/7390] lr: 2.000e-03, eta: 2:17:49, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0215, loss_cls: 2.8586, loss_bbox: 1.5213, loss: 4.4463 +2022-09-02 05:14:52,816 - mmdet - INFO - Epoch [9][4950/7390] lr: 2.000e-03, eta: 2:17:32, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0218, loss_cls: 2.8511, loss_bbox: 1.5219, loss: 4.4397 +2022-09-02 05:15:09,812 - mmdet - INFO - Epoch [9][5000/7390] lr: 2.000e-03, eta: 2:17:16, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0222, loss_cls: 2.8585, loss_bbox: 1.5190, loss: 4.4454 +2022-09-02 05:15:26,252 - mmdet - INFO - Epoch [9][5050/7390] lr: 2.000e-03, eta: 2:16:59, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0216, loss_cls: 2.8516, loss_bbox: 1.5284, loss: 4.4470 +2022-09-02 05:15:42,250 - mmdet - INFO - Epoch [9][5100/7390] lr: 2.000e-03, eta: 2:16:42, time: 0.319, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0207, loss_cls: 2.8352, loss_bbox: 1.5160, loss: 4.4152 +2022-09-02 05:15:58,771 - mmdet - INFO - Epoch [9][5150/7390] lr: 2.000e-03, eta: 2:16:25, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0221, loss_cls: 2.8746, loss_bbox: 1.5191, loss: 4.4616 +2022-09-02 05:16:15,605 - mmdet - INFO - Epoch [9][5200/7390] lr: 2.000e-03, eta: 2:16:08, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0216, loss_cls: 2.8537, loss_bbox: 1.5284, loss: 4.4493 +2022-09-02 05:16:32,198 - mmdet - INFO - Epoch [9][5250/7390] lr: 2.000e-03, eta: 2:15:51, time: 0.333, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0212, loss_cls: 2.8504, loss_bbox: 1.5256, loss: 4.4412 +2022-09-02 05:16:49,281 - mmdet - INFO - Epoch [9][5300/7390] lr: 2.000e-03, eta: 2:15:35, time: 0.341, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0222, loss_cls: 2.8619, loss_bbox: 1.5116, loss: 4.4413 +2022-09-02 05:17:05,868 - mmdet - INFO - Epoch [9][5350/7390] lr: 2.000e-03, eta: 2:15:18, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0223, loss_cls: 2.8654, loss_bbox: 1.5205, loss: 4.4535 +2022-09-02 05:17:22,584 - mmdet - INFO - Epoch [9][5400/7390] lr: 2.000e-03, eta: 2:15:01, time: 0.335, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0220, loss_cls: 2.8723, loss_bbox: 1.5093, loss: 4.4490 +2022-09-02 05:17:39,882 - mmdet - INFO - Epoch [9][5450/7390] lr: 2.000e-03, eta: 2:14:45, time: 0.346, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0223, loss_cls: 2.8768, loss_bbox: 1.5275, loss: 4.4725 +2022-09-02 05:17:56,697 - mmdet - INFO - Epoch [9][5500/7390] lr: 2.000e-03, eta: 2:14:28, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0219, loss_cls: 2.8641, loss_bbox: 1.5217, loss: 4.4529 +2022-09-02 05:18:13,347 - mmdet - INFO - Epoch [9][5550/7390] lr: 2.000e-03, eta: 2:14:11, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0213, loss_cls: 2.8664, loss_bbox: 1.5194, loss: 4.4509 +2022-09-02 05:18:30,379 - mmdet - INFO - Epoch [9][5600/7390] lr: 2.000e-03, eta: 2:13:54, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8739, loss_bbox: 1.5203, loss: 4.4611 +2022-09-02 05:18:47,130 - mmdet - INFO - Epoch [9][5650/7390] lr: 2.000e-03, eta: 2:13:38, time: 0.335, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0219, loss_cls: 2.8616, loss_bbox: 1.5093, loss: 4.4391 +2022-09-02 05:19:04,167 - mmdet - INFO - Epoch [9][5700/7390] lr: 2.000e-03, eta: 2:13:21, time: 0.341, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0224, loss_cls: 2.8735, loss_bbox: 1.5198, loss: 4.4612 +2022-09-02 05:19:20,605 - mmdet - INFO - Epoch [9][5750/7390] lr: 2.000e-03, eta: 2:13:04, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0219, loss_cls: 2.8635, loss_bbox: 1.5256, loss: 4.4566 +2022-09-02 05:19:37,552 - mmdet - INFO - Epoch [9][5800/7390] lr: 2.000e-03, eta: 2:12:47, time: 0.339, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0226, loss_cls: 2.8657, loss_bbox: 1.5199, loss: 4.4542 +2022-09-02 05:19:54,669 - mmdet - INFO - Epoch [9][5850/7390] lr: 2.000e-03, eta: 2:12:31, time: 0.342, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0224, loss_cls: 2.8679, loss_bbox: 1.5206, loss: 4.4566 +2022-09-02 05:20:11,325 - mmdet - INFO - Epoch [9][5900/7390] lr: 2.000e-03, eta: 2:12:14, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0221, loss_cls: 2.8667, loss_bbox: 1.5113, loss: 4.4464 +2022-09-02 05:20:28,156 - mmdet - INFO - Epoch [9][5950/7390] lr: 2.000e-03, eta: 2:11:57, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8538, loss_bbox: 1.5220, loss: 4.4429 +2022-09-02 05:20:45,065 - mmdet - INFO - Epoch [9][6000/7390] lr: 2.000e-03, eta: 2:11:40, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0216, loss_cls: 2.8394, loss_bbox: 1.5184, loss: 4.4252 +2022-09-02 05:21:02,141 - mmdet - INFO - Epoch [9][6050/7390] lr: 2.000e-03, eta: 2:11:24, time: 0.341, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.8558, loss_bbox: 1.5169, loss: 4.4404 +2022-09-02 05:21:19,239 - mmdet - INFO - Epoch [9][6100/7390] lr: 2.000e-03, eta: 2:11:07, time: 0.343, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0222, loss_cls: 2.8530, loss_bbox: 1.5174, loss: 4.4384 +2022-09-02 05:21:36,446 - mmdet - INFO - Epoch [9][6150/7390] lr: 2.000e-03, eta: 2:10:50, time: 0.344, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.8489, loss_bbox: 1.5236, loss: 4.4414 +2022-09-02 05:21:53,487 - mmdet - INFO - Epoch [9][6200/7390] lr: 2.000e-03, eta: 2:10:34, time: 0.341, data_time: 0.012, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0226, loss_cls: 2.8644, loss_bbox: 1.5255, loss: 4.4587 +2022-09-02 05:22:09,972 - mmdet - INFO - Epoch [9][6250/7390] lr: 2.000e-03, eta: 2:10:17, time: 0.329, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0214, loss_cls: 2.8423, loss_bbox: 1.5206, loss: 4.4286 +2022-09-02 05:22:26,570 - mmdet - INFO - Epoch [9][6300/7390] lr: 2.000e-03, eta: 2:10:00, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0218, loss_cls: 2.8437, loss_bbox: 1.5211, loss: 4.4318 +2022-09-02 05:22:43,238 - mmdet - INFO - Epoch [9][6350/7390] lr: 2.000e-03, eta: 2:09:43, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0219, loss_cls: 2.8567, loss_bbox: 1.5265, loss: 4.4504 +2022-09-02 05:22:59,884 - mmdet - INFO - Epoch [9][6400/7390] lr: 2.000e-03, eta: 2:09:26, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0218, loss_cls: 2.8384, loss_bbox: 1.5243, loss: 4.4298 +2022-09-02 05:23:16,599 - mmdet - INFO - Epoch [9][6450/7390] lr: 2.000e-03, eta: 2:09:10, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0223, loss_cls: 2.8567, loss_bbox: 1.5334, loss: 4.4587 +2022-09-02 05:23:33,336 - mmdet - INFO - Epoch [9][6500/7390] lr: 2.000e-03, eta: 2:08:53, time: 0.336, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0219, loss_cls: 2.8460, loss_bbox: 1.5311, loss: 4.4448 +2022-09-02 05:23:50,386 - mmdet - INFO - Epoch [9][6550/7390] lr: 2.000e-03, eta: 2:08:36, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0215, loss_cls: 2.8455, loss_bbox: 1.5246, loss: 4.4362 +2022-09-02 05:24:06,975 - mmdet - INFO - Epoch [9][6600/7390] lr: 2.000e-03, eta: 2:08:19, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0437, loss_rpn_bbox: 0.0211, loss_cls: 2.8484, loss_bbox: 1.5257, loss: 4.4388 +2022-09-02 05:24:23,580 - mmdet - INFO - Epoch [9][6650/7390] lr: 2.000e-03, eta: 2:08:03, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.8648, loss_bbox: 1.5265, loss: 4.4586 +2022-09-02 05:24:40,064 - mmdet - INFO - Epoch [9][6700/7390] lr: 2.000e-03, eta: 2:07:46, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0214, loss_cls: 2.8424, loss_bbox: 1.5193, loss: 4.4271 +2022-09-02 05:24:57,323 - mmdet - INFO - Epoch [9][6750/7390] lr: 2.000e-03, eta: 2:07:29, time: 0.345, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0222, loss_cls: 2.8500, loss_bbox: 1.5226, loss: 4.4409 +2022-09-02 05:25:14,027 - mmdet - INFO - Epoch [9][6800/7390] lr: 2.000e-03, eta: 2:07:12, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0219, loss_cls: 2.8551, loss_bbox: 1.5224, loss: 4.4454 +2022-09-02 05:25:31,206 - mmdet - INFO - Epoch [9][6850/7390] lr: 2.000e-03, eta: 2:06:56, time: 0.344, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0222, loss_cls: 2.8539, loss_bbox: 1.5167, loss: 4.4392 +2022-09-02 05:25:47,751 - mmdet - INFO - Epoch [9][6900/7390] lr: 2.000e-03, eta: 2:06:39, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0218, loss_cls: 2.8575, loss_bbox: 1.5204, loss: 4.4457 +2022-09-02 05:26:04,072 - mmdet - INFO - Epoch [9][6950/7390] lr: 2.000e-03, eta: 2:06:22, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0217, loss_cls: 2.8565, loss_bbox: 1.5282, loss: 4.4521 +2022-09-02 05:26:20,855 - mmdet - INFO - Epoch [9][7000/7390] lr: 2.000e-03, eta: 2:06:05, time: 0.336, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0220, loss_cls: 2.8525, loss_bbox: 1.5105, loss: 4.4299 +2022-09-02 05:26:37,184 - mmdet - INFO - Epoch [9][7050/7390] lr: 2.000e-03, eta: 2:05:48, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0213, loss_cls: 2.8475, loss_bbox: 1.5306, loss: 4.4441 +2022-09-02 05:26:54,007 - mmdet - INFO - Epoch [9][7100/7390] lr: 2.000e-03, eta: 2:05:31, time: 0.337, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.8497, loss_bbox: 1.5272, loss: 4.4447 +2022-09-02 05:27:10,579 - mmdet - INFO - Epoch [9][7150/7390] lr: 2.000e-03, eta: 2:05:15, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0218, loss_cls: 2.8708, loss_bbox: 1.5108, loss: 4.4486 +2022-09-02 05:27:27,071 - mmdet - INFO - Epoch [9][7200/7390] lr: 2.000e-03, eta: 2:04:58, time: 0.330, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0212, loss_cls: 2.8444, loss_bbox: 1.5204, loss: 4.4300 +2022-09-02 05:27:43,375 - mmdet - INFO - Epoch [9][7250/7390] lr: 2.000e-03, eta: 2:04:41, time: 0.326, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8677, loss_bbox: 1.5260, loss: 4.4606 +2022-09-02 05:27:59,993 - mmdet - INFO - Epoch [9][7300/7390] lr: 2.000e-03, eta: 2:04:24, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0216, loss_cls: 2.8477, loss_bbox: 1.5240, loss: 4.4389 +2022-09-02 05:28:16,620 - mmdet - INFO - Epoch [9][7350/7390] lr: 2.000e-03, eta: 2:04:07, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0220, loss_cls: 2.8641, loss_bbox: 1.5209, loss: 4.4522 +2022-09-02 05:28:29,770 - mmdet - INFO - Saving checkpoint at 9 epochs +2022-09-02 05:28:51,324 - mmdet - INFO - Epoch [10][50/7390] lr: 2.000e-03, eta: 2:03:34, time: 0.403, data_time: 0.073, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0220, loss_cls: 2.8762, loss_bbox: 1.5109, loss: 4.4542 +2022-09-02 05:29:08,126 - mmdet - INFO - Epoch [10][100/7390] lr: 2.000e-03, eta: 2:03:17, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8421, loss_bbox: 1.5044, loss: 4.4133 +2022-09-02 05:29:25,531 - mmdet - INFO - Epoch [10][150/7390] lr: 2.000e-03, eta: 2:03:00, time: 0.348, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0228, loss_cls: 2.8756, loss_bbox: 1.5263, loss: 4.4711 +2022-09-02 05:29:42,594 - mmdet - INFO - Epoch [10][200/7390] lr: 2.000e-03, eta: 2:02:44, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0226, loss_cls: 2.8872, loss_bbox: 1.5280, loss: 4.4843 +2022-09-02 05:29:59,547 - mmdet - INFO - Epoch [10][250/7390] lr: 2.000e-03, eta: 2:02:27, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0221, loss_cls: 2.8695, loss_bbox: 1.5223, loss: 4.4595 +2022-09-02 05:30:16,361 - mmdet - INFO - Epoch [10][300/7390] lr: 2.000e-03, eta: 2:02:10, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0220, loss_cls: 2.8473, loss_bbox: 1.5257, loss: 4.4402 +2022-09-02 05:30:33,184 - mmdet - INFO - Epoch [10][350/7390] lr: 2.000e-03, eta: 2:01:54, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0223, loss_cls: 2.8550, loss_bbox: 1.5186, loss: 4.4409 +2022-09-02 05:30:50,253 - mmdet - INFO - Epoch [10][400/7390] lr: 2.000e-03, eta: 2:01:37, time: 0.342, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0221, loss_cls: 2.8652, loss_bbox: 1.5102, loss: 4.4425 +2022-09-02 05:31:07,247 - mmdet - INFO - Epoch [10][450/7390] lr: 2.000e-03, eta: 2:01:20, time: 0.339, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0220, loss_cls: 2.8521, loss_bbox: 1.5148, loss: 4.4341 +2022-09-02 05:31:23,794 - mmdet - INFO - Epoch [10][500/7390] lr: 2.000e-03, eta: 2:01:03, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0219, loss_cls: 2.8378, loss_bbox: 1.5250, loss: 4.4303 +2022-09-02 05:31:41,164 - mmdet - INFO - Epoch [10][550/7390] lr: 2.000e-03, eta: 2:00:47, time: 0.348, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0221, loss_cls: 2.8535, loss_bbox: 1.5235, loss: 4.4438 +2022-09-02 05:31:57,386 - mmdet - INFO - Epoch [10][600/7390] lr: 2.000e-03, eta: 2:00:30, time: 0.324, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0215, loss_cls: 2.8571, loss_bbox: 1.5251, loss: 4.4490 +2022-09-02 05:32:13,803 - mmdet - INFO - Epoch [10][650/7390] lr: 2.000e-03, eta: 2:00:13, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0216, loss_cls: 2.8532, loss_bbox: 1.5249, loss: 4.4448 +2022-09-02 05:32:30,398 - mmdet - INFO - Epoch [10][700/7390] lr: 2.000e-03, eta: 1:59:56, time: 0.333, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0218, loss_cls: 2.8387, loss_bbox: 1.5183, loss: 4.4241 +2022-09-02 05:32:47,040 - mmdet - INFO - Epoch [10][750/7390] lr: 2.000e-03, eta: 1:59:39, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8644, loss_bbox: 1.5215, loss: 4.4539 +2022-09-02 05:33:03,772 - mmdet - INFO - Epoch [10][800/7390] lr: 2.000e-03, eta: 1:59:23, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0216, loss_cls: 2.8427, loss_bbox: 1.5240, loss: 4.4327 +2022-09-02 05:33:20,499 - mmdet - INFO - Epoch [10][850/7390] lr: 2.000e-03, eta: 1:59:06, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0216, loss_cls: 2.8384, loss_bbox: 1.5169, loss: 4.4216 +2022-09-02 05:33:37,315 - mmdet - INFO - Epoch [10][900/7390] lr: 2.000e-03, eta: 1:58:49, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0225, loss_cls: 2.8548, loss_bbox: 1.5190, loss: 4.4423 +2022-09-02 05:33:53,827 - mmdet - INFO - Epoch [10][950/7390] lr: 2.000e-03, eta: 1:58:32, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0213, loss_cls: 2.8469, loss_bbox: 1.5185, loss: 4.4312 +2022-09-02 05:34:10,641 - mmdet - INFO - Epoch [10][1000/7390] lr: 2.000e-03, eta: 1:58:16, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8435, loss_bbox: 1.5225, loss: 4.4329 +2022-09-02 05:34:27,268 - mmdet - INFO - Epoch [10][1050/7390] lr: 2.000e-03, eta: 1:57:59, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0221, loss_cls: 2.8674, loss_bbox: 1.5187, loss: 4.4546 +2022-09-02 05:34:43,949 - mmdet - INFO - Epoch [10][1100/7390] lr: 2.000e-03, eta: 1:57:42, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0216, loss_cls: 2.8583, loss_bbox: 1.5242, loss: 4.4485 +2022-09-02 05:35:00,791 - mmdet - INFO - Epoch [10][1150/7390] lr: 2.000e-03, eta: 1:57:25, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0221, loss_cls: 2.8700, loss_bbox: 1.5078, loss: 4.4449 +2022-09-02 05:35:17,689 - mmdet - INFO - Epoch [10][1200/7390] lr: 2.000e-03, eta: 1:57:09, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0223, loss_cls: 2.8719, loss_bbox: 1.5177, loss: 4.4581 +2022-09-02 05:35:33,984 - mmdet - INFO - Epoch [10][1250/7390] lr: 2.000e-03, eta: 1:56:52, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0222, loss_cls: 2.8662, loss_bbox: 1.5215, loss: 4.4561 +2022-09-02 05:35:50,990 - mmdet - INFO - Epoch [10][1300/7390] lr: 2.000e-03, eta: 1:56:35, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0224, loss_cls: 2.8588, loss_bbox: 1.5129, loss: 4.4400 +2022-09-02 05:36:07,357 - mmdet - INFO - Epoch [10][1350/7390] lr: 2.000e-03, eta: 1:56:18, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0213, loss_cls: 2.8510, loss_bbox: 1.5171, loss: 4.4348 +2022-09-02 05:36:23,876 - mmdet - INFO - Epoch [10][1400/7390] lr: 2.000e-03, eta: 1:56:01, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0216, loss_cls: 2.8500, loss_bbox: 1.5212, loss: 4.4373 +2022-09-02 05:36:40,200 - mmdet - INFO - Epoch [10][1450/7390] lr: 2.000e-03, eta: 1:55:44, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0213, loss_cls: 2.8394, loss_bbox: 1.5218, loss: 4.4269 +2022-09-02 05:36:56,885 - mmdet - INFO - Epoch [10][1500/7390] lr: 2.000e-03, eta: 1:55:28, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0219, loss_cls: 2.8470, loss_bbox: 1.5186, loss: 4.4327 +2022-09-02 05:37:13,411 - mmdet - INFO - Epoch [10][1550/7390] lr: 2.000e-03, eta: 1:55:11, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0216, loss_cls: 2.8381, loss_bbox: 1.5241, loss: 4.4289 +2022-09-02 05:37:29,701 - mmdet - INFO - Epoch [10][1600/7390] lr: 2.000e-03, eta: 1:54:54, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0212, loss_cls: 2.8483, loss_bbox: 1.5234, loss: 4.4365 +2022-09-02 05:37:46,207 - mmdet - INFO - Epoch [10][1650/7390] lr: 2.000e-03, eta: 1:54:37, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0217, loss_cls: 2.8396, loss_bbox: 1.5168, loss: 4.4242 +2022-09-02 05:38:02,901 - mmdet - INFO - Epoch [10][1700/7390] lr: 2.000e-03, eta: 1:54:20, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0216, loss_cls: 2.8578, loss_bbox: 1.5155, loss: 4.4400 +2022-09-02 05:38:19,815 - mmdet - INFO - Epoch [10][1750/7390] lr: 2.000e-03, eta: 1:54:04, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0226, loss_cls: 2.8566, loss_bbox: 1.5193, loss: 4.4442 +2022-09-02 05:38:36,945 - mmdet - INFO - Epoch [10][1800/7390] lr: 2.000e-03, eta: 1:53:47, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0220, loss_cls: 2.8424, loss_bbox: 1.5365, loss: 4.4460 +2022-09-02 05:38:53,862 - mmdet - INFO - Epoch [10][1850/7390] lr: 2.000e-03, eta: 1:53:30, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0229, loss_cls: 2.8694, loss_bbox: 1.5149, loss: 4.4534 +2022-09-02 05:39:11,006 - mmdet - INFO - Epoch [10][1900/7390] lr: 2.000e-03, eta: 1:53:13, time: 0.343, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0222, loss_cls: 2.8534, loss_bbox: 1.5212, loss: 4.4415 +2022-09-02 05:39:27,628 - mmdet - INFO - Epoch [10][1950/7390] lr: 2.000e-03, eta: 1:52:57, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0216, loss_cls: 2.8561, loss_bbox: 1.5208, loss: 4.4428 +2022-09-02 05:39:44,394 - mmdet - INFO - Epoch [10][2000/7390] lr: 2.000e-03, eta: 1:52:40, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0215, loss_cls: 2.8472, loss_bbox: 1.5187, loss: 4.4316 +2022-09-02 05:40:00,700 - mmdet - INFO - Epoch [10][2050/7390] lr: 2.000e-03, eta: 1:52:23, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0217, loss_cls: 2.8618, loss_bbox: 1.5281, loss: 4.4575 +2022-09-02 05:40:17,580 - mmdet - INFO - Epoch [10][2100/7390] lr: 2.000e-03, eta: 1:52:06, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0222, loss_cls: 2.8650, loss_bbox: 1.5148, loss: 4.4479 +2022-09-02 05:40:34,160 - mmdet - INFO - Epoch [10][2150/7390] lr: 2.000e-03, eta: 1:51:50, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0218, loss_cls: 2.8500, loss_bbox: 1.5242, loss: 4.4409 +2022-09-02 05:40:50,817 - mmdet - INFO - Epoch [10][2200/7390] lr: 2.000e-03, eta: 1:51:33, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0216, loss_cls: 2.8543, loss_bbox: 1.5215, loss: 4.4423 +2022-09-02 05:41:07,659 - mmdet - INFO - Epoch [10][2250/7390] lr: 2.000e-03, eta: 1:51:16, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0223, loss_cls: 2.8582, loss_bbox: 1.5180, loss: 4.4440 +2022-09-02 05:41:24,353 - mmdet - INFO - Epoch [10][2300/7390] lr: 2.000e-03, eta: 1:50:59, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0222, loss_cls: 2.8602, loss_bbox: 1.5253, loss: 4.4541 +2022-09-02 05:41:41,250 - mmdet - INFO - Epoch [10][2350/7390] lr: 2.000e-03, eta: 1:50:42, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0214, loss_cls: 2.8439, loss_bbox: 1.5212, loss: 4.4308 +2022-09-02 05:41:57,872 - mmdet - INFO - Epoch [10][2400/7390] lr: 2.000e-03, eta: 1:50:26, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0211, loss_cls: 2.8530, loss_bbox: 1.5142, loss: 4.4329 +2022-09-02 05:42:14,486 - mmdet - INFO - Epoch [10][2450/7390] lr: 2.000e-03, eta: 1:50:09, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0213, loss_cls: 2.8500, loss_bbox: 1.5185, loss: 4.4354 +2022-09-02 05:42:31,087 - mmdet - INFO - Epoch [10][2500/7390] lr: 2.000e-03, eta: 1:49:52, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0223, loss_cls: 2.8513, loss_bbox: 1.5234, loss: 4.4427 +2022-09-02 05:42:47,601 - mmdet - INFO - Epoch [10][2550/7390] lr: 2.000e-03, eta: 1:49:35, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0223, loss_cls: 2.8667, loss_bbox: 1.5187, loss: 4.4536 +2022-09-02 05:43:04,297 - mmdet - INFO - Epoch [10][2600/7390] lr: 2.000e-03, eta: 1:49:18, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0221, loss_cls: 2.8530, loss_bbox: 1.5235, loss: 4.4438 +2022-09-02 05:43:20,611 - mmdet - INFO - Epoch [10][2650/7390] lr: 2.000e-03, eta: 1:49:02, time: 0.327, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0213, loss_cls: 2.8526, loss_bbox: 1.5305, loss: 4.4489 +2022-09-02 05:43:37,343 - mmdet - INFO - Epoch [10][2700/7390] lr: 2.000e-03, eta: 1:48:45, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0222, loss_cls: 2.8586, loss_bbox: 1.5190, loss: 4.4456 +2022-09-02 05:43:53,775 - mmdet - INFO - Epoch [10][2750/7390] lr: 2.000e-03, eta: 1:48:28, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0211, loss_cls: 2.8468, loss_bbox: 1.5162, loss: 4.4275 +2022-09-02 05:44:10,555 - mmdet - INFO - Epoch [10][2800/7390] lr: 2.000e-03, eta: 1:48:11, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0218, loss_cls: 2.8480, loss_bbox: 1.5260, loss: 4.4403 +2022-09-02 05:44:26,962 - mmdet - INFO - Epoch [10][2850/7390] lr: 2.000e-03, eta: 1:47:54, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.8519, loss_bbox: 1.5132, loss: 4.4324 +2022-09-02 05:44:43,075 - mmdet - INFO - Epoch [10][2900/7390] lr: 2.000e-03, eta: 1:47:37, time: 0.322, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0207, loss_cls: 2.8256, loss_bbox: 1.5240, loss: 4.4142 +2022-09-02 05:44:59,466 - mmdet - INFO - Epoch [10][2950/7390] lr: 2.000e-03, eta: 1:47:21, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0212, loss_cls: 2.8468, loss_bbox: 1.5228, loss: 4.4356 +2022-09-02 05:45:16,249 - mmdet - INFO - Epoch [10][3000/7390] lr: 2.000e-03, eta: 1:47:04, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0219, loss_cls: 2.8590, loss_bbox: 1.5109, loss: 4.4373 +2022-09-02 05:45:32,462 - mmdet - INFO - Epoch [10][3050/7390] lr: 2.000e-03, eta: 1:46:47, time: 0.325, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0208, loss_cls: 2.8272, loss_bbox: 1.5242, loss: 4.4158 +2022-09-02 05:45:49,131 - mmdet - INFO - Epoch [10][3100/7390] lr: 2.000e-03, eta: 1:46:30, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0222, loss_cls: 2.8484, loss_bbox: 1.5161, loss: 4.4319 +2022-09-02 05:46:05,890 - mmdet - INFO - Epoch [10][3150/7390] lr: 2.000e-03, eta: 1:46:13, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0212, loss_cls: 2.8509, loss_bbox: 1.5234, loss: 4.4398 +2022-09-02 05:46:22,216 - mmdet - INFO - Epoch [10][3200/7390] lr: 2.000e-03, eta: 1:45:57, time: 0.326, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0215, loss_cls: 2.8356, loss_bbox: 1.5197, loss: 4.4216 +2022-09-02 05:46:38,365 - mmdet - INFO - Epoch [10][3250/7390] lr: 2.000e-03, eta: 1:45:40, time: 0.324, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0214, loss_cls: 2.8419, loss_bbox: 1.5165, loss: 4.4246 +2022-09-02 05:46:55,303 - mmdet - INFO - Epoch [10][3300/7390] lr: 2.000e-03, eta: 1:45:23, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0223, loss_cls: 2.8455, loss_bbox: 1.5207, loss: 4.4340 +2022-09-02 05:47:11,965 - mmdet - INFO - Epoch [10][3350/7390] lr: 2.000e-03, eta: 1:45:06, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8515, loss_bbox: 1.5295, loss: 4.4481 +2022-09-02 05:47:28,837 - mmdet - INFO - Epoch [10][3400/7390] lr: 2.000e-03, eta: 1:44:49, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0223, loss_cls: 2.8592, loss_bbox: 1.5133, loss: 4.4413 +2022-09-02 05:47:46,135 - mmdet - INFO - Epoch [10][3450/7390] lr: 2.000e-03, eta: 1:44:33, time: 0.346, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0221, loss_cls: 2.8665, loss_bbox: 1.5170, loss: 4.4512 +2022-09-02 05:48:02,780 - mmdet - INFO - Epoch [10][3500/7390] lr: 2.000e-03, eta: 1:44:16, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0215, loss_cls: 2.8438, loss_bbox: 1.5179, loss: 4.4287 +2022-09-02 05:48:19,645 - mmdet - INFO - Epoch [10][3550/7390] lr: 2.000e-03, eta: 1:43:59, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0218, loss_cls: 2.8390, loss_bbox: 1.5210, loss: 4.4270 +2022-09-02 05:48:36,683 - mmdet - INFO - Epoch [10][3600/7390] lr: 2.000e-03, eta: 1:43:43, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0223, loss_cls: 2.8483, loss_bbox: 1.5250, loss: 4.4420 +2022-09-02 05:48:53,376 - mmdet - INFO - Epoch [10][3650/7390] lr: 2.000e-03, eta: 1:43:26, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0215, loss_cls: 2.8529, loss_bbox: 1.5254, loss: 4.4449 +2022-09-02 05:49:09,844 - mmdet - INFO - Epoch [10][3700/7390] lr: 2.000e-03, eta: 1:43:09, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0212, loss_cls: 2.8454, loss_bbox: 1.5242, loss: 4.4352 +2022-09-02 05:49:26,780 - mmdet - INFO - Epoch [10][3750/7390] lr: 2.000e-03, eta: 1:42:52, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0224, loss_cls: 2.8574, loss_bbox: 1.5155, loss: 4.4416 +2022-09-02 05:49:43,841 - mmdet - INFO - Epoch [10][3800/7390] lr: 2.000e-03, eta: 1:42:36, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0221, loss_cls: 2.8472, loss_bbox: 1.5232, loss: 4.4378 +2022-09-02 05:50:00,505 - mmdet - INFO - Epoch [10][3850/7390] lr: 2.000e-03, eta: 1:42:19, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8554, loss_bbox: 1.5218, loss: 4.4439 +2022-09-02 05:50:17,347 - mmdet - INFO - Epoch [10][3900/7390] lr: 2.000e-03, eta: 1:42:02, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0219, loss_cls: 2.8478, loss_bbox: 1.5180, loss: 4.4331 +2022-09-02 05:50:33,456 - mmdet - INFO - Epoch [10][3950/7390] lr: 2.000e-03, eta: 1:41:45, time: 0.322, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0219, loss_cls: 2.8488, loss_bbox: 1.5295, loss: 4.4465 +2022-09-02 05:50:50,277 - mmdet - INFO - Epoch [10][4000/7390] lr: 2.000e-03, eta: 1:41:28, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0219, loss_cls: 2.8529, loss_bbox: 1.5156, loss: 4.4360 +2022-09-02 05:51:06,929 - mmdet - INFO - Epoch [10][4050/7390] lr: 2.000e-03, eta: 1:41:12, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0216, loss_cls: 2.8533, loss_bbox: 1.5151, loss: 4.4344 +2022-09-02 05:51:23,722 - mmdet - INFO - Epoch [10][4100/7390] lr: 2.000e-03, eta: 1:40:55, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0221, loss_cls: 2.8632, loss_bbox: 1.5180, loss: 4.4489 +2022-09-02 05:51:40,599 - mmdet - INFO - Epoch [10][4150/7390] lr: 2.000e-03, eta: 1:40:38, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8535, loss_bbox: 1.5179, loss: 4.4386 +2022-09-02 05:51:57,043 - mmdet - INFO - Epoch [10][4200/7390] lr: 2.000e-03, eta: 1:40:21, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0216, loss_cls: 2.8465, loss_bbox: 1.5129, loss: 4.4251 +2022-09-02 05:52:13,795 - mmdet - INFO - Epoch [10][4250/7390] lr: 2.000e-03, eta: 1:40:05, time: 0.335, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0220, loss_cls: 2.8372, loss_bbox: 1.5130, loss: 4.4177 +2022-09-02 05:52:30,669 - mmdet - INFO - Epoch [10][4300/7390] lr: 2.000e-03, eta: 1:39:48, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.8492, loss_bbox: 1.5191, loss: 4.4364 +2022-09-02 05:52:46,791 - mmdet - INFO - Epoch [10][4350/7390] lr: 2.000e-03, eta: 1:39:31, time: 0.322, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0213, loss_cls: 2.8445, loss_bbox: 1.5262, loss: 4.4366 +2022-09-02 05:53:03,735 - mmdet - INFO - Epoch [10][4400/7390] lr: 2.000e-03, eta: 1:39:14, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.8680, loss_bbox: 1.5165, loss: 4.4534 +2022-09-02 05:53:20,349 - mmdet - INFO - Epoch [10][4450/7390] lr: 2.000e-03, eta: 1:38:57, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0212, loss_cls: 2.8672, loss_bbox: 1.5227, loss: 4.4551 +2022-09-02 05:53:37,488 - mmdet - INFO - Epoch [10][4500/7390] lr: 2.000e-03, eta: 1:38:41, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0218, loss_cls: 2.8453, loss_bbox: 1.5202, loss: 4.4330 +2022-09-02 05:53:54,474 - mmdet - INFO - Epoch [10][4550/7390] lr: 2.000e-03, eta: 1:38:24, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0219, loss_cls: 2.8580, loss_bbox: 1.5134, loss: 4.4385 +2022-09-02 05:54:11,266 - mmdet - INFO - Epoch [10][4600/7390] lr: 2.000e-03, eta: 1:38:07, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0214, loss_cls: 2.8310, loss_bbox: 1.5227, loss: 4.4198 +2022-09-02 05:54:28,469 - mmdet - INFO - Epoch [10][4650/7390] lr: 2.000e-03, eta: 1:37:51, time: 0.345, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0223, loss_cls: 2.8632, loss_bbox: 1.5214, loss: 4.4524 +2022-09-02 05:54:44,787 - mmdet - INFO - Epoch [10][4700/7390] lr: 2.000e-03, eta: 1:37:34, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0210, loss_cls: 2.8190, loss_bbox: 1.5308, loss: 4.4149 +2022-09-02 05:55:01,473 - mmdet - INFO - Epoch [10][4750/7390] lr: 2.000e-03, eta: 1:37:17, time: 0.334, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0214, loss_cls: 2.8439, loss_bbox: 1.5139, loss: 4.4244 +2022-09-02 05:55:18,039 - mmdet - INFO - Epoch [10][4800/7390] lr: 2.000e-03, eta: 1:37:00, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0213, loss_cls: 2.8327, loss_bbox: 1.5226, loss: 4.4211 +2022-09-02 05:55:35,265 - mmdet - INFO - Epoch [10][4850/7390] lr: 2.000e-03, eta: 1:36:44, time: 0.345, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0224, loss_cls: 2.8522, loss_bbox: 1.5215, loss: 4.4425 +2022-09-02 05:55:52,189 - mmdet - INFO - Epoch [10][4900/7390] lr: 2.000e-03, eta: 1:36:27, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.8482, loss_bbox: 1.5237, loss: 4.4401 +2022-09-02 05:56:08,941 - mmdet - INFO - Epoch [10][4950/7390] lr: 2.000e-03, eta: 1:36:10, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0223, loss_cls: 2.8477, loss_bbox: 1.5137, loss: 4.4298 +2022-09-02 05:56:25,591 - mmdet - INFO - Epoch [10][5000/7390] lr: 2.000e-03, eta: 1:35:53, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0220, loss_cls: 2.8402, loss_bbox: 1.5239, loss: 4.4310 +2022-09-02 05:56:42,301 - mmdet - INFO - Epoch [10][5050/7390] lr: 2.000e-03, eta: 1:35:37, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0221, loss_cls: 2.8591, loss_bbox: 1.5205, loss: 4.4473 +2022-09-02 05:56:58,871 - mmdet - INFO - Epoch [10][5100/7390] lr: 2.000e-03, eta: 1:35:20, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0217, loss_cls: 2.8481, loss_bbox: 1.5080, loss: 4.4225 +2022-09-02 05:57:15,916 - mmdet - INFO - Epoch [10][5150/7390] lr: 2.000e-03, eta: 1:35:03, time: 0.341, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0224, loss_cls: 2.8661, loss_bbox: 1.5238, loss: 4.4593 +2022-09-02 05:57:32,842 - mmdet - INFO - Epoch [10][5200/7390] lr: 2.000e-03, eta: 1:34:46, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0222, loss_cls: 2.8550, loss_bbox: 1.5285, loss: 4.4516 +2022-09-02 05:57:49,466 - mmdet - INFO - Epoch [10][5250/7390] lr: 2.000e-03, eta: 1:34:30, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.8581, loss_bbox: 1.5198, loss: 4.4456 +2022-09-02 05:58:06,467 - mmdet - INFO - Epoch [10][5300/7390] lr: 2.000e-03, eta: 1:34:13, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0228, loss_cls: 2.8775, loss_bbox: 1.5177, loss: 4.4641 +2022-09-02 05:58:23,389 - mmdet - INFO - Epoch [10][5350/7390] lr: 2.000e-03, eta: 1:33:56, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0216, loss_cls: 2.8353, loss_bbox: 1.5184, loss: 4.4202 +2022-09-02 05:58:39,888 - mmdet - INFO - Epoch [10][5400/7390] lr: 2.000e-03, eta: 1:33:39, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0214, loss_cls: 2.8509, loss_bbox: 1.5178, loss: 4.4348 +2022-09-02 05:58:56,546 - mmdet - INFO - Epoch [10][5450/7390] lr: 2.000e-03, eta: 1:33:23, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0217, loss_cls: 2.8316, loss_bbox: 1.5187, loss: 4.4165 +2022-09-02 05:59:13,212 - mmdet - INFO - Epoch [10][5500/7390] lr: 2.000e-03, eta: 1:33:06, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0215, loss_cls: 2.8505, loss_bbox: 1.5131, loss: 4.4298 +2022-09-02 05:59:29,614 - mmdet - INFO - Epoch [10][5550/7390] lr: 2.000e-03, eta: 1:32:49, time: 0.329, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0213, loss_cls: 2.8538, loss_bbox: 1.5218, loss: 4.4411 +2022-09-02 05:59:46,159 - mmdet - INFO - Epoch [10][5600/7390] lr: 2.000e-03, eta: 1:32:32, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0218, loss_cls: 2.8702, loss_bbox: 1.5250, loss: 4.4619 +2022-09-02 06:00:02,689 - mmdet - INFO - Epoch [10][5650/7390] lr: 2.000e-03, eta: 1:32:15, time: 0.331, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0214, loss_cls: 2.8532, loss_bbox: 1.5270, loss: 4.4459 +2022-09-02 06:00:19,253 - mmdet - INFO - Epoch [10][5700/7390] lr: 2.000e-03, eta: 1:31:59, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0215, loss_cls: 2.8322, loss_bbox: 1.5155, loss: 4.4145 +2022-09-02 06:00:35,905 - mmdet - INFO - Epoch [10][5750/7390] lr: 2.000e-03, eta: 1:31:42, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0213, loss_cls: 2.8347, loss_bbox: 1.5183, loss: 4.4190 +2022-09-02 06:00:52,532 - mmdet - INFO - Epoch [10][5800/7390] lr: 2.000e-03, eta: 1:31:25, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0437, loss_rpn_bbox: 0.0212, loss_cls: 2.8389, loss_bbox: 1.5294, loss: 4.4332 +2022-09-02 06:01:09,297 - mmdet - INFO - Epoch [10][5850/7390] lr: 2.000e-03, eta: 1:31:08, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8419, loss_bbox: 1.5139, loss: 4.4227 +2022-09-02 06:01:25,763 - mmdet - INFO - Epoch [10][5900/7390] lr: 2.000e-03, eta: 1:30:51, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.8784, loss_bbox: 1.5320, loss: 4.4778 +2022-09-02 06:01:42,446 - mmdet - INFO - Epoch [10][5950/7390] lr: 2.000e-03, eta: 1:30:35, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0216, loss_cls: 2.8593, loss_bbox: 1.5223, loss: 4.4476 +2022-09-02 06:01:59,397 - mmdet - INFO - Epoch [10][6000/7390] lr: 2.000e-03, eta: 1:30:18, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0219, loss_cls: 2.8686, loss_bbox: 1.5204, loss: 4.4563 +2022-09-02 06:02:16,283 - mmdet - INFO - Epoch [10][6050/7390] lr: 2.000e-03, eta: 1:30:01, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0219, loss_cls: 2.8488, loss_bbox: 1.5093, loss: 4.4247 +2022-09-02 06:02:33,151 - mmdet - INFO - Epoch [10][6100/7390] lr: 2.000e-03, eta: 1:29:45, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8482, loss_bbox: 1.5260, loss: 4.4422 +2022-09-02 06:02:49,942 - mmdet - INFO - Epoch [10][6150/7390] lr: 2.000e-03, eta: 1:29:28, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0218, loss_cls: 2.8540, loss_bbox: 1.5301, loss: 4.4516 +2022-09-02 06:03:06,947 - mmdet - INFO - Epoch [10][6200/7390] lr: 2.000e-03, eta: 1:29:11, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0217, loss_cls: 2.8509, loss_bbox: 1.5183, loss: 4.4359 +2022-09-02 06:03:23,104 - mmdet - INFO - Epoch [10][6250/7390] lr: 2.000e-03, eta: 1:28:54, time: 0.324, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0209, loss_cls: 2.8221, loss_bbox: 1.5232, loss: 4.4108 +2022-09-02 06:03:39,378 - mmdet - INFO - Epoch [10][6300/7390] lr: 2.000e-03, eta: 1:28:37, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0213, loss_cls: 2.8568, loss_bbox: 1.5246, loss: 4.4472 +2022-09-02 06:03:56,823 - mmdet - INFO - Epoch [10][6350/7390] lr: 2.000e-03, eta: 1:28:21, time: 0.349, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0225, loss_cls: 2.8537, loss_bbox: 1.5215, loss: 4.4436 +2022-09-02 06:04:12,879 - mmdet - INFO - Epoch [10][6400/7390] lr: 2.000e-03, eta: 1:28:04, time: 0.321, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.8533, loss_bbox: 1.5162, loss: 4.4372 +2022-09-02 06:04:29,838 - mmdet - INFO - Epoch [10][6450/7390] lr: 2.000e-03, eta: 1:27:47, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0222, loss_cls: 2.8577, loss_bbox: 1.5175, loss: 4.4426 +2022-09-02 06:04:47,102 - mmdet - INFO - Epoch [10][6500/7390] lr: 2.000e-03, eta: 1:27:30, time: 0.347, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0217, loss_cls: 2.8319, loss_bbox: 1.5190, loss: 4.4173 +2022-09-02 06:05:03,584 - mmdet - INFO - Epoch [10][6550/7390] lr: 2.000e-03, eta: 1:27:14, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0217, loss_cls: 2.8475, loss_bbox: 1.5329, loss: 4.4466 +2022-09-02 06:05:20,205 - mmdet - INFO - Epoch [10][6600/7390] lr: 2.000e-03, eta: 1:26:57, time: 0.333, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0220, loss_cls: 2.8569, loss_bbox: 1.5021, loss: 4.4262 +2022-09-02 06:05:36,876 - mmdet - INFO - Epoch [10][6650/7390] lr: 2.000e-03, eta: 1:26:40, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0217, loss_cls: 2.8433, loss_bbox: 1.5090, loss: 4.4193 +2022-09-02 06:05:53,803 - mmdet - INFO - Epoch [10][6700/7390] lr: 2.000e-03, eta: 1:26:23, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0224, loss_cls: 2.8398, loss_bbox: 1.5159, loss: 4.4245 +2022-09-02 06:06:11,154 - mmdet - INFO - Epoch [10][6750/7390] lr: 2.000e-03, eta: 1:26:07, time: 0.348, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0228, loss_cls: 2.8613, loss_bbox: 1.5196, loss: 4.4498 +2022-09-02 06:06:28,295 - mmdet - INFO - Epoch [10][6800/7390] lr: 2.000e-03, eta: 1:25:50, time: 0.342, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0221, loss_cls: 2.8671, loss_bbox: 1.5164, loss: 4.4519 +2022-09-02 06:06:44,494 - mmdet - INFO - Epoch [10][6850/7390] lr: 2.000e-03, eta: 1:25:33, time: 0.324, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0216, loss_cls: 2.8674, loss_bbox: 1.5230, loss: 4.4572 +2022-09-02 06:07:01,215 - mmdet - INFO - Epoch [10][6900/7390] lr: 2.000e-03, eta: 1:25:16, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0216, loss_cls: 2.8592, loss_bbox: 1.5310, loss: 4.4570 +2022-09-02 06:07:17,966 - mmdet - INFO - Epoch [10][6950/7390] lr: 2.000e-03, eta: 1:25:00, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0213, loss_cls: 2.8365, loss_bbox: 1.5172, loss: 4.4204 +2022-09-02 06:07:34,257 - mmdet - INFO - Epoch [10][7000/7390] lr: 2.000e-03, eta: 1:24:43, time: 0.326, data_time: 0.012, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0211, loss_cls: 2.8363, loss_bbox: 1.5220, loss: 4.4241 +2022-09-02 06:07:50,670 - mmdet - INFO - Epoch [10][7050/7390] lr: 2.000e-03, eta: 1:24:26, time: 0.329, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.8393, loss_bbox: 1.5237, loss: 4.4308 +2022-09-02 06:08:07,608 - mmdet - INFO - Epoch [10][7100/7390] lr: 2.000e-03, eta: 1:24:09, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0220, loss_cls: 2.8528, loss_bbox: 1.5156, loss: 4.4353 +2022-09-02 06:08:24,342 - mmdet - INFO - Epoch [10][7150/7390] lr: 2.000e-03, eta: 1:23:53, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0222, loss_cls: 2.8621, loss_bbox: 1.5074, loss: 4.4373 +2022-09-02 06:08:41,033 - mmdet - INFO - Epoch [10][7200/7390] lr: 2.000e-03, eta: 1:23:36, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0223, loss_cls: 2.8594, loss_bbox: 1.5199, loss: 4.4471 +2022-09-02 06:08:57,656 - mmdet - INFO - Epoch [10][7250/7390] lr: 2.000e-03, eta: 1:23:19, time: 0.332, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0218, loss_cls: 2.8609, loss_bbox: 1.5326, loss: 4.4603 +2022-09-02 06:09:13,780 - mmdet - INFO - Epoch [10][7300/7390] lr: 2.000e-03, eta: 1:23:02, time: 0.323, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0214, loss_cls: 2.8439, loss_bbox: 1.5146, loss: 4.4250 +2022-09-02 06:09:30,668 - mmdet - INFO - Epoch [10][7350/7390] lr: 2.000e-03, eta: 1:22:45, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0221, loss_cls: 2.8499, loss_bbox: 1.5158, loss: 4.4338 +2022-09-02 06:09:44,182 - mmdet - INFO - Saving checkpoint at 10 epochs +2022-09-02 06:10:05,495 - mmdet - INFO - Epoch [11][50/7390] lr: 2.000e-03, eta: 1:22:13, time: 0.398, data_time: 0.073, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0213, loss_cls: 2.8495, loss_bbox: 1.5180, loss: 4.4334 +2022-09-02 06:10:22,563 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:10:22,564 - mmdet - INFO - Epoch [11][100/7390] lr: 2.000e-03, eta: 1:21:56, time: 0.341, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0219, loss_cls: 2.8383, loss_bbox: 1.5011, loss: 4.4068 +2022-09-02 06:10:39,255 - mmdet - INFO - Epoch [11][150/7390] lr: 2.000e-03, eta: 1:21:40, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0218, loss_cls: 2.8538, loss_bbox: 1.5201, loss: 4.4407 +2022-09-02 06:10:56,055 - mmdet - INFO - Epoch [11][200/7390] lr: 2.000e-03, eta: 1:21:23, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0222, loss_cls: 2.8663, loss_bbox: 1.5287, loss: 4.4635 +2022-09-02 06:11:12,941 - mmdet - INFO - Epoch [11][250/7390] lr: 2.000e-03, eta: 1:21:06, time: 0.337, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0220, loss_cls: 2.8394, loss_bbox: 1.5114, loss: 4.4188 +2022-09-02 06:11:29,531 - mmdet - INFO - Epoch [11][300/7390] lr: 2.000e-03, eta: 1:20:49, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0219, loss_cls: 2.8527, loss_bbox: 1.5194, loss: 4.4395 +2022-09-02 06:11:46,857 - mmdet - INFO - Epoch [11][350/7390] lr: 2.000e-03, eta: 1:20:33, time: 0.346, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0223, loss_cls: 2.8506, loss_bbox: 1.5202, loss: 4.4392 +2022-09-02 06:12:03,394 - mmdet - INFO - Epoch [11][400/7390] lr: 2.000e-03, eta: 1:20:16, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0218, loss_cls: 2.8380, loss_bbox: 1.5096, loss: 4.4139 +2022-09-02 06:12:20,153 - mmdet - INFO - Epoch [11][450/7390] lr: 2.000e-03, eta: 1:19:59, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0219, loss_cls: 2.8568, loss_bbox: 1.5120, loss: 4.4358 +2022-09-02 06:12:36,828 - mmdet - INFO - Epoch [11][500/7390] lr: 2.000e-03, eta: 1:19:43, time: 0.334, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0217, loss_cls: 2.8468, loss_bbox: 1.5217, loss: 4.4358 +2022-09-02 06:12:53,295 - mmdet - INFO - Epoch [11][550/7390] lr: 2.000e-03, eta: 1:19:26, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0215, loss_cls: 2.8299, loss_bbox: 1.5278, loss: 4.4242 +2022-09-02 06:13:09,914 - mmdet - INFO - Epoch [11][600/7390] lr: 2.000e-03, eta: 1:19:09, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0214, loss_cls: 2.8470, loss_bbox: 1.5164, loss: 4.4292 +2022-09-02 06:13:26,593 - mmdet - INFO - Epoch [11][650/7390] lr: 2.000e-03, eta: 1:18:52, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0215, loss_cls: 2.8409, loss_bbox: 1.5279, loss: 4.4354 +2022-09-02 06:13:43,335 - mmdet - INFO - Epoch [11][700/7390] lr: 2.000e-03, eta: 1:18:35, time: 0.334, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0220, loss_cls: 2.8451, loss_bbox: 1.5260, loss: 4.4379 +2022-09-02 06:13:59,935 - mmdet - INFO - Epoch [11][750/7390] lr: 2.000e-03, eta: 1:18:19, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0217, loss_cls: 2.8520, loss_bbox: 1.5231, loss: 4.4414 +2022-09-02 06:14:16,437 - mmdet - INFO - Epoch [11][800/7390] lr: 2.000e-03, eta: 1:18:02, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0214, loss_cls: 2.8412, loss_bbox: 1.5162, loss: 4.4234 +2022-09-02 06:14:33,144 - mmdet - INFO - Epoch [11][850/7390] lr: 2.000e-03, eta: 1:17:45, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0218, loss_cls: 2.8335, loss_bbox: 1.5143, loss: 4.4138 +2022-09-02 06:14:49,634 - mmdet - INFO - Epoch [11][900/7390] lr: 2.000e-03, eta: 1:17:28, time: 0.330, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0216, loss_cls: 2.8426, loss_bbox: 1.5194, loss: 4.4291 +2022-09-02 06:15:05,936 - mmdet - INFO - Epoch [11][950/7390] lr: 2.000e-03, eta: 1:17:12, time: 0.326, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0210, loss_cls: 2.8307, loss_bbox: 1.5238, loss: 4.4200 +2022-09-02 06:15:22,637 - mmdet - INFO - Epoch [11][1000/7390] lr: 2.000e-03, eta: 1:16:55, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0219, loss_cls: 2.8541, loss_bbox: 1.5099, loss: 4.4315 +2022-09-02 06:15:39,106 - mmdet - INFO - Epoch [11][1050/7390] lr: 2.000e-03, eta: 1:16:38, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0217, loss_cls: 2.8463, loss_bbox: 1.5088, loss: 4.4216 +2022-09-02 06:15:55,999 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:15:56,000 - mmdet - INFO - Epoch [11][1100/7390] lr: 2.000e-03, eta: 1:16:21, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0219, loss_cls: 2.8537, loss_bbox: 1.5090, loss: 4.4295 +2022-09-02 06:16:12,832 - mmdet - INFO - Epoch [11][1150/7390] lr: 2.000e-03, eta: 1:16:05, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0222, loss_cls: 2.8472, loss_bbox: 1.5240, loss: 4.4393 +2022-09-02 06:16:29,243 - mmdet - INFO - Epoch [11][1200/7390] lr: 2.000e-03, eta: 1:15:48, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0213, loss_cls: 2.8538, loss_bbox: 1.5237, loss: 4.4436 +2022-09-02 06:16:45,559 - mmdet - INFO - Epoch [11][1250/7390] lr: 2.000e-03, eta: 1:15:31, time: 0.326, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0218, loss_cls: 2.8552, loss_bbox: 1.5128, loss: 4.4347 +2022-09-02 06:17:02,219 - mmdet - INFO - Epoch [11][1300/7390] lr: 2.000e-03, eta: 1:15:14, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0220, loss_cls: 2.8476, loss_bbox: 1.5285, loss: 4.4435 +2022-09-02 06:17:19,491 - mmdet - INFO - Epoch [11][1350/7390] lr: 2.000e-03, eta: 1:14:57, time: 0.344, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0218, loss_cls: 2.8388, loss_bbox: 1.5173, loss: 4.4229 +2022-09-02 06:17:36,341 - mmdet - INFO - Epoch [11][1400/7390] lr: 2.000e-03, eta: 1:14:41, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0221, loss_cls: 2.8460, loss_bbox: 1.5055, loss: 4.4187 +2022-09-02 06:17:53,317 - mmdet - INFO - Epoch [11][1450/7390] lr: 2.000e-03, eta: 1:14:24, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0224, loss_cls: 2.8550, loss_bbox: 1.5228, loss: 4.4468 +2022-09-02 06:18:09,558 - mmdet - INFO - Epoch [11][1500/7390] lr: 2.000e-03, eta: 1:14:07, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8362, loss_bbox: 1.5160, loss: 4.4190 +2022-09-02 06:18:26,785 - mmdet - INFO - Epoch [11][1550/7390] lr: 2.000e-03, eta: 1:13:51, time: 0.345, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0226, loss_cls: 2.8565, loss_bbox: 1.5192, loss: 4.4449 +2022-09-02 06:18:43,579 - mmdet - INFO - Epoch [11][1600/7390] lr: 2.000e-03, eta: 1:13:34, time: 0.335, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0216, loss_cls: 2.8407, loss_bbox: 1.5126, loss: 4.4193 +2022-09-02 06:19:00,129 - mmdet - INFO - Epoch [11][1650/7390] lr: 2.000e-03, eta: 1:13:17, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0212, loss_cls: 2.8332, loss_bbox: 1.5321, loss: 4.4304 +2022-09-02 06:19:16,871 - mmdet - INFO - Epoch [11][1700/7390] lr: 2.000e-03, eta: 1:13:00, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0218, loss_cls: 2.8456, loss_bbox: 1.5191, loss: 4.4317 +2022-09-02 06:19:33,866 - mmdet - INFO - Epoch [11][1750/7390] lr: 2.000e-03, eta: 1:12:44, time: 0.340, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.8446, loss_bbox: 1.5197, loss: 4.4321 +2022-09-02 06:19:49,946 - mmdet - INFO - Epoch [11][1800/7390] lr: 2.000e-03, eta: 1:12:27, time: 0.321, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0205, loss_cls: 2.8127, loss_bbox: 1.5194, loss: 4.3966 +2022-09-02 06:20:06,885 - mmdet - INFO - Epoch [11][1850/7390] lr: 2.000e-03, eta: 1:12:10, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0216, loss_cls: 2.8335, loss_bbox: 1.5120, loss: 4.4117 +2022-09-02 06:20:23,455 - mmdet - INFO - Epoch [11][1900/7390] lr: 2.000e-03, eta: 1:11:53, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0212, loss_cls: 2.8526, loss_bbox: 1.5183, loss: 4.4373 +2022-09-02 06:20:40,270 - mmdet - INFO - Epoch [11][1950/7390] lr: 2.000e-03, eta: 1:11:37, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0221, loss_cls: 2.8484, loss_bbox: 1.5231, loss: 4.4399 +2022-09-02 06:20:57,040 - mmdet - INFO - Epoch [11][2000/7390] lr: 2.000e-03, eta: 1:11:20, time: 0.335, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0223, loss_cls: 2.8691, loss_bbox: 1.5163, loss: 4.4534 +2022-09-02 06:21:13,841 - mmdet - INFO - Epoch [11][2050/7390] lr: 2.000e-03, eta: 1:11:03, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0215, loss_cls: 2.8565, loss_bbox: 1.5185, loss: 4.4417 +2022-09-02 06:21:30,705 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:21:30,705 - mmdet - INFO - Epoch [11][2100/7390] lr: 2.000e-03, eta: 1:10:46, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0224, loss_cls: 2.8625, loss_bbox: 1.5139, loss: 4.4450 +2022-09-02 06:21:47,640 - mmdet - INFO - Epoch [11][2150/7390] lr: 2.000e-03, eta: 1:10:30, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8439, loss_bbox: 1.5173, loss: 4.4292 +2022-09-02 06:22:04,329 - mmdet - INFO - Epoch [11][2200/7390] lr: 2.000e-03, eta: 1:10:13, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0221, loss_cls: 2.8482, loss_bbox: 1.5170, loss: 4.4333 +2022-09-02 06:22:20,898 - mmdet - INFO - Epoch [11][2250/7390] lr: 2.000e-03, eta: 1:09:56, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0222, loss_cls: 2.8544, loss_bbox: 1.5137, loss: 4.4365 +2022-09-02 06:22:37,574 - mmdet - INFO - Epoch [11][2300/7390] lr: 2.000e-03, eta: 1:09:39, time: 0.334, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0218, loss_cls: 2.8461, loss_bbox: 1.5120, loss: 4.4253 +2022-09-02 06:22:54,378 - mmdet - INFO - Epoch [11][2350/7390] lr: 2.000e-03, eta: 1:09:23, time: 0.336, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0221, loss_cls: 2.8619, loss_bbox: 1.5078, loss: 4.4369 +2022-09-02 06:23:11,515 - mmdet - INFO - Epoch [11][2400/7390] lr: 2.000e-03, eta: 1:09:06, time: 0.342, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0223, loss_cls: 2.8673, loss_bbox: 1.5212, loss: 4.4570 +2022-09-02 06:23:27,987 - mmdet - INFO - Epoch [11][2450/7390] lr: 2.000e-03, eta: 1:08:49, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0212, loss_cls: 2.8519, loss_bbox: 1.5236, loss: 4.4408 +2022-09-02 06:23:44,225 - mmdet - INFO - Epoch [11][2500/7390] lr: 2.000e-03, eta: 1:08:32, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0211, loss_cls: 2.8190, loss_bbox: 1.5287, loss: 4.4131 +2022-09-02 06:24:00,576 - mmdet - INFO - Epoch [11][2550/7390] lr: 2.000e-03, eta: 1:08:15, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0216, loss_cls: 2.8447, loss_bbox: 1.5086, loss: 4.4203 +2022-09-02 06:24:17,400 - mmdet - INFO - Epoch [11][2600/7390] lr: 2.000e-03, eta: 1:07:59, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0221, loss_cls: 2.8449, loss_bbox: 1.5201, loss: 4.4326 +2022-09-02 06:24:34,518 - mmdet - INFO - Epoch [11][2650/7390] lr: 2.000e-03, eta: 1:07:42, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0223, loss_cls: 2.8605, loss_bbox: 1.5231, loss: 4.4519 +2022-09-02 06:24:51,778 - mmdet - INFO - Epoch [11][2700/7390] lr: 2.000e-03, eta: 1:07:25, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0227, loss_cls: 2.8733, loss_bbox: 1.5265, loss: 4.4686 +2022-09-02 06:25:08,682 - mmdet - INFO - Epoch [11][2750/7390] lr: 2.000e-03, eta: 1:07:09, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0216, loss_cls: 2.8487, loss_bbox: 1.5241, loss: 4.4388 +2022-09-02 06:25:25,373 - mmdet - INFO - Epoch [11][2800/7390] lr: 2.000e-03, eta: 1:06:52, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0213, loss_cls: 2.8261, loss_bbox: 1.5157, loss: 4.4080 +2022-09-02 06:25:41,913 - mmdet - INFO - Epoch [11][2850/7390] lr: 2.000e-03, eta: 1:06:35, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0217, loss_cls: 2.8467, loss_bbox: 1.5190, loss: 4.4327 +2022-09-02 06:25:58,347 - mmdet - INFO - Epoch [11][2900/7390] lr: 2.000e-03, eta: 1:06:18, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0219, loss_cls: 2.8543, loss_bbox: 1.5302, loss: 4.4513 +2022-09-02 06:26:14,511 - mmdet - INFO - Epoch [11][2950/7390] lr: 2.000e-03, eta: 1:06:01, time: 0.324, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0212, loss_cls: 2.8363, loss_bbox: 1.5161, loss: 4.4183 +2022-09-02 06:26:31,478 - mmdet - INFO - Epoch [11][3000/7390] lr: 2.000e-03, eta: 1:05:45, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0219, loss_cls: 2.8406, loss_bbox: 1.5146, loss: 4.4227 +2022-09-02 06:26:47,788 - mmdet - INFO - Epoch [11][3050/7390] lr: 2.000e-03, eta: 1:05:28, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0221, loss_cls: 2.8573, loss_bbox: 1.5084, loss: 4.4336 +2022-09-02 06:27:04,297 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:27:04,297 - mmdet - INFO - Epoch [11][3100/7390] lr: 2.000e-03, eta: 1:05:11, time: 0.330, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0214, loss_cls: 2.8395, loss_bbox: 1.5256, loss: 4.4314 +2022-09-02 06:27:21,133 - mmdet - INFO - Epoch [11][3150/7390] lr: 2.000e-03, eta: 1:04:54, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0221, loss_cls: 2.8562, loss_bbox: 1.5220, loss: 4.4460 +2022-09-02 06:27:38,047 - mmdet - INFO - Epoch [11][3200/7390] lr: 2.000e-03, eta: 1:04:38, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0220, loss_cls: 2.8416, loss_bbox: 1.5166, loss: 4.4255 +2022-09-02 06:27:54,535 - mmdet - INFO - Epoch [11][3250/7390] lr: 2.000e-03, eta: 1:04:21, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0213, loss_cls: 2.8316, loss_bbox: 1.5273, loss: 4.4251 +2022-09-02 06:28:10,841 - mmdet - INFO - Epoch [11][3300/7390] lr: 2.000e-03, eta: 1:04:04, time: 0.326, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0214, loss_cls: 2.8312, loss_bbox: 1.5156, loss: 4.4127 +2022-09-02 06:28:27,970 - mmdet - INFO - Epoch [11][3350/7390] lr: 2.000e-03, eta: 1:03:47, time: 0.343, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0217, loss_cls: 2.8377, loss_bbox: 1.5188, loss: 4.4229 +2022-09-02 06:28:44,743 - mmdet - INFO - Epoch [11][3400/7390] lr: 2.000e-03, eta: 1:03:31, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0219, loss_cls: 2.8490, loss_bbox: 1.5154, loss: 4.4316 +2022-09-02 06:29:01,653 - mmdet - INFO - Epoch [11][3450/7390] lr: 2.000e-03, eta: 1:03:14, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.8469, loss_bbox: 1.5219, loss: 4.4371 +2022-09-02 06:29:18,279 - mmdet - INFO - Epoch [11][3500/7390] lr: 2.000e-03, eta: 1:02:57, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0218, loss_cls: 2.8563, loss_bbox: 1.5236, loss: 4.4473 +2022-09-02 06:29:35,185 - mmdet - INFO - Epoch [11][3550/7390] lr: 2.000e-03, eta: 1:02:40, time: 0.338, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0216, loss_cls: 2.8499, loss_bbox: 1.5254, loss: 4.4414 +2022-09-02 06:29:51,833 - mmdet - INFO - Epoch [11][3600/7390] lr: 2.000e-03, eta: 1:02:24, time: 0.333, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0215, loss_cls: 2.8346, loss_bbox: 1.5261, loss: 4.4273 +2022-09-02 06:30:08,728 - mmdet - INFO - Epoch [11][3650/7390] lr: 2.000e-03, eta: 1:02:07, time: 0.337, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0227, loss_cls: 2.8661, loss_bbox: 1.5182, loss: 4.4536 +2022-09-02 06:30:25,469 - mmdet - INFO - Epoch [11][3700/7390] lr: 2.000e-03, eta: 1:01:50, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0218, loss_cls: 2.8661, loss_bbox: 1.5245, loss: 4.4573 +2022-09-02 06:30:41,974 - mmdet - INFO - Epoch [11][3750/7390] lr: 2.000e-03, eta: 1:01:33, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0218, loss_cls: 2.8604, loss_bbox: 1.5193, loss: 4.4472 +2022-09-02 06:30:58,679 - mmdet - INFO - Epoch [11][3800/7390] lr: 2.000e-03, eta: 1:01:17, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0212, loss_cls: 2.8400, loss_bbox: 1.5239, loss: 4.4298 +2022-09-02 06:31:15,441 - mmdet - INFO - Epoch [11][3850/7390] lr: 2.000e-03, eta: 1:01:00, time: 0.334, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.8589, loss_bbox: 1.5115, loss: 4.4386 +2022-09-02 06:31:32,349 - mmdet - INFO - Epoch [11][3900/7390] lr: 2.000e-03, eta: 1:00:43, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0222, loss_cls: 2.8413, loss_bbox: 1.5134, loss: 4.4234 +2022-09-02 06:31:49,301 - mmdet - INFO - Epoch [11][3950/7390] lr: 2.000e-03, eta: 1:00:27, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0223, loss_cls: 2.8490, loss_bbox: 1.5211, loss: 4.4379 +2022-09-02 06:32:05,966 - mmdet - INFO - Epoch [11][4000/7390] lr: 2.000e-03, eta: 1:00:10, time: 0.333, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0219, loss_cls: 2.8461, loss_bbox: 1.5021, loss: 4.4154 +2022-09-02 06:32:22,710 - mmdet - INFO - Epoch [11][4050/7390] lr: 2.000e-03, eta: 0:59:53, time: 0.335, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0221, loss_cls: 2.8589, loss_bbox: 1.5083, loss: 4.4343 +2022-09-02 06:32:38,996 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:32:38,996 - mmdet - INFO - Epoch [11][4100/7390] lr: 2.000e-03, eta: 0:59:36, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0217, loss_cls: 2.8497, loss_bbox: 1.5191, loss: 4.4366 +2022-09-02 06:32:55,647 - mmdet - INFO - Epoch [11][4150/7390] lr: 2.000e-03, eta: 0:59:19, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0211, loss_cls: 2.8319, loss_bbox: 1.5194, loss: 4.4166 +2022-09-02 06:33:12,142 - mmdet - INFO - Epoch [11][4200/7390] lr: 2.000e-03, eta: 0:59:03, time: 0.330, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0215, loss_cls: 2.8400, loss_bbox: 1.5182, loss: 4.4249 +2022-09-02 06:33:28,995 - mmdet - INFO - Epoch [11][4250/7390] lr: 2.000e-03, eta: 0:58:46, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0220, loss_cls: 2.8501, loss_bbox: 1.5085, loss: 4.4260 +2022-09-02 06:33:45,787 - mmdet - INFO - Epoch [11][4300/7390] lr: 2.000e-03, eta: 0:58:29, time: 0.335, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0220, loss_cls: 2.8488, loss_bbox: 1.5206, loss: 4.4369 +2022-09-02 06:34:02,640 - mmdet - INFO - Epoch [11][4350/7390] lr: 2.000e-03, eta: 0:58:13, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0218, loss_cls: 2.8501, loss_bbox: 1.5261, loss: 4.4428 +2022-09-02 06:34:19,432 - mmdet - INFO - Epoch [11][4400/7390] lr: 2.000e-03, eta: 0:57:56, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0222, loss_cls: 2.8496, loss_bbox: 1.5105, loss: 4.4279 +2022-09-02 06:34:35,988 - mmdet - INFO - Epoch [11][4450/7390] lr: 2.000e-03, eta: 0:57:39, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0215, loss_cls: 2.8412, loss_bbox: 1.5140, loss: 4.4210 +2022-09-02 06:34:53,003 - mmdet - INFO - Epoch [11][4500/7390] lr: 2.000e-03, eta: 0:57:22, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0222, loss_cls: 2.8465, loss_bbox: 1.5133, loss: 4.4280 +2022-09-02 06:35:09,558 - mmdet - INFO - Epoch [11][4550/7390] lr: 2.000e-03, eta: 0:57:06, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0212, loss_cls: 2.8303, loss_bbox: 1.5113, loss: 4.4067 +2022-09-02 06:35:26,173 - mmdet - INFO - Epoch [11][4600/7390] lr: 2.000e-03, eta: 0:56:49, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0221, loss_cls: 2.8517, loss_bbox: 1.5181, loss: 4.4373 +2022-09-02 06:35:42,590 - mmdet - INFO - Epoch [11][4650/7390] lr: 2.000e-03, eta: 0:56:32, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0213, loss_cls: 2.8488, loss_bbox: 1.5105, loss: 4.4249 +2022-09-02 06:35:59,462 - mmdet - INFO - Epoch [11][4700/7390] lr: 2.000e-03, eta: 0:56:15, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0223, loss_cls: 2.8484, loss_bbox: 1.5168, loss: 4.4337 +2022-09-02 06:36:16,035 - mmdet - INFO - Epoch [11][4750/7390] lr: 2.000e-03, eta: 0:55:58, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0218, loss_cls: 2.8445, loss_bbox: 1.5104, loss: 4.4213 +2022-09-02 06:36:32,719 - mmdet - INFO - Epoch [11][4800/7390] lr: 2.000e-03, eta: 0:55:42, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0217, loss_cls: 2.8381, loss_bbox: 1.5140, loss: 4.4185 +2022-09-02 06:36:49,326 - mmdet - INFO - Epoch [11][4850/7390] lr: 2.000e-03, eta: 0:55:25, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0220, loss_cls: 2.8498, loss_bbox: 1.5132, loss: 4.4304 +2022-09-02 06:37:05,913 - mmdet - INFO - Epoch [11][4900/7390] lr: 2.000e-03, eta: 0:55:08, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0213, loss_cls: 2.8287, loss_bbox: 1.5167, loss: 4.4115 +2022-09-02 06:37:22,725 - mmdet - INFO - Epoch [11][4950/7390] lr: 2.000e-03, eta: 0:54:51, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0216, loss_cls: 2.8450, loss_bbox: 1.5187, loss: 4.4303 +2022-09-02 06:37:39,521 - mmdet - INFO - Epoch [11][5000/7390] lr: 2.000e-03, eta: 0:54:35, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0219, loss_cls: 2.8466, loss_bbox: 1.5109, loss: 4.4252 +2022-09-02 06:37:56,580 - mmdet - INFO - Epoch [11][5050/7390] lr: 2.000e-03, eta: 0:54:18, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0219, loss_cls: 2.8530, loss_bbox: 1.5220, loss: 4.4425 +2022-09-02 06:38:13,106 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:38:13,106 - mmdet - INFO - Epoch [11][5100/7390] lr: 2.000e-03, eta: 0:54:01, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0214, loss_cls: 2.8414, loss_bbox: 1.5294, loss: 4.4374 +2022-09-02 06:38:30,289 - mmdet - INFO - Epoch [11][5150/7390] lr: 2.000e-03, eta: 0:53:45, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0223, loss_cls: 2.8783, loss_bbox: 1.5152, loss: 4.4613 +2022-09-02 06:38:47,200 - mmdet - INFO - Epoch [11][5200/7390] lr: 2.000e-03, eta: 0:53:28, time: 0.338, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0225, loss_cls: 2.8526, loss_bbox: 1.5210, loss: 4.4424 +2022-09-02 06:39:03,647 - mmdet - INFO - Epoch [11][5250/7390] lr: 2.000e-03, eta: 0:53:11, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0216, loss_cls: 2.8674, loss_bbox: 1.5138, loss: 4.4480 +2022-09-02 06:39:20,454 - mmdet - INFO - Epoch [11][5300/7390] lr: 2.000e-03, eta: 0:52:54, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0215, loss_cls: 2.8456, loss_bbox: 1.5163, loss: 4.4276 +2022-09-02 06:39:37,285 - mmdet - INFO - Epoch [11][5350/7390] lr: 2.000e-03, eta: 0:52:38, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0223, loss_cls: 2.8517, loss_bbox: 1.5295, loss: 4.4498 +2022-09-02 06:39:54,210 - mmdet - INFO - Epoch [11][5400/7390] lr: 2.000e-03, eta: 0:52:21, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0223, loss_cls: 2.8655, loss_bbox: 1.5242, loss: 4.4572 +2022-09-02 06:40:10,569 - mmdet - INFO - Epoch [11][5450/7390] lr: 2.000e-03, eta: 0:52:04, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0213, loss_cls: 2.8383, loss_bbox: 1.5137, loss: 4.4181 +2022-09-02 06:40:26,991 - mmdet - INFO - Epoch [11][5500/7390] lr: 2.000e-03, eta: 0:51:47, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0212, loss_cls: 2.8325, loss_bbox: 1.5118, loss: 4.4100 +2022-09-02 06:40:43,861 - mmdet - INFO - Epoch [11][5550/7390] lr: 2.000e-03, eta: 0:51:31, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0226, loss_cls: 2.8501, loss_bbox: 1.5116, loss: 4.4312 +2022-09-02 06:41:00,913 - mmdet - INFO - Epoch [11][5600/7390] lr: 2.000e-03, eta: 0:51:14, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0221, loss_cls: 2.8643, loss_bbox: 1.5213, loss: 4.4535 +2022-09-02 06:41:17,386 - mmdet - INFO - Epoch [11][5650/7390] lr: 2.000e-03, eta: 0:50:57, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0218, loss_cls: 2.8485, loss_bbox: 1.5267, loss: 4.4419 +2022-09-02 06:41:33,605 - mmdet - INFO - Epoch [11][5700/7390] lr: 2.000e-03, eta: 0:50:40, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0208, loss_cls: 2.8265, loss_bbox: 1.5153, loss: 4.4068 +2022-09-02 06:41:50,170 - mmdet - INFO - Epoch [11][5750/7390] lr: 2.000e-03, eta: 0:50:23, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0216, loss_cls: 2.8417, loss_bbox: 1.5250, loss: 4.4338 +2022-09-02 06:42:07,028 - mmdet - INFO - Epoch [11][5800/7390] lr: 2.000e-03, eta: 0:50:07, time: 0.337, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0217, loss_cls: 2.8425, loss_bbox: 1.5280, loss: 4.4366 +2022-09-02 06:42:23,730 - mmdet - INFO - Epoch [11][5850/7390] lr: 2.000e-03, eta: 0:49:50, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0219, loss_cls: 2.8729, loss_bbox: 1.5304, loss: 4.4697 +2022-09-02 06:42:40,308 - mmdet - INFO - Epoch [11][5900/7390] lr: 2.000e-03, eta: 0:49:33, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0211, loss_cls: 2.8451, loss_bbox: 1.5184, loss: 4.4290 +2022-09-02 06:42:57,213 - mmdet - INFO - Epoch [11][5950/7390] lr: 2.000e-03, eta: 0:49:17, time: 0.338, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0221, loss_cls: 2.8500, loss_bbox: 1.5078, loss: 4.4259 +2022-09-02 06:43:13,770 - mmdet - INFO - Epoch [11][6000/7390] lr: 2.000e-03, eta: 0:49:00, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0218, loss_cls: 2.8478, loss_bbox: 1.5140, loss: 4.4287 +2022-09-02 06:43:30,209 - mmdet - INFO - Epoch [11][6050/7390] lr: 2.000e-03, eta: 0:48:43, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0215, loss_cls: 2.8521, loss_bbox: 1.5259, loss: 4.4438 +2022-09-02 06:43:46,984 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:43:46,985 - mmdet - INFO - Epoch [11][6100/7390] lr: 2.000e-03, eta: 0:48:26, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0213, loss_cls: 2.8346, loss_bbox: 1.5116, loss: 4.4115 +2022-09-02 06:44:03,470 - mmdet - INFO - Epoch [11][6150/7390] lr: 2.000e-03, eta: 0:48:09, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8387, loss_bbox: 1.5123, loss: 4.4179 +2022-09-02 06:44:20,100 - mmdet - INFO - Epoch [11][6200/7390] lr: 2.000e-03, eta: 0:47:53, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0219, loss_cls: 2.8550, loss_bbox: 1.5227, loss: 4.4451 +2022-09-02 06:44:36,719 - mmdet - INFO - Epoch [11][6250/7390] lr: 2.000e-03, eta: 0:47:36, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0218, loss_cls: 2.8564, loss_bbox: 1.5168, loss: 4.4393 +2022-09-02 06:44:53,519 - mmdet - INFO - Epoch [11][6300/7390] lr: 2.000e-03, eta: 0:47:19, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0222, loss_cls: 2.8576, loss_bbox: 1.5194, loss: 4.4457 +2022-09-02 06:45:10,098 - mmdet - INFO - Epoch [11][6350/7390] lr: 2.000e-03, eta: 0:47:02, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0216, loss_cls: 2.8335, loss_bbox: 1.5079, loss: 4.4081 +2022-09-02 06:45:26,900 - mmdet - INFO - Epoch [11][6400/7390] lr: 2.000e-03, eta: 0:46:46, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0223, loss_cls: 2.8635, loss_bbox: 1.5103, loss: 4.4412 +2022-09-02 06:45:43,938 - mmdet - INFO - Epoch [11][6450/7390] lr: 2.000e-03, eta: 0:46:29, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0226, loss_cls: 2.8648, loss_bbox: 1.5247, loss: 4.4584 +2022-09-02 06:46:00,480 - mmdet - INFO - Epoch [11][6500/7390] lr: 2.000e-03, eta: 0:46:12, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0219, loss_cls: 2.8433, loss_bbox: 1.5112, loss: 4.4211 +2022-09-02 06:46:17,510 - mmdet - INFO - Epoch [11][6550/7390] lr: 2.000e-03, eta: 0:45:56, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0219, loss_cls: 2.8361, loss_bbox: 1.5106, loss: 4.4140 +2022-09-02 06:46:34,008 - mmdet - INFO - Epoch [11][6600/7390] lr: 2.000e-03, eta: 0:45:39, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0222, loss_cls: 2.8660, loss_bbox: 1.5119, loss: 4.4456 +2022-09-02 06:46:51,014 - mmdet - INFO - Epoch [11][6650/7390] lr: 2.000e-03, eta: 0:45:22, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0222, loss_cls: 2.8657, loss_bbox: 1.5191, loss: 4.4523 +2022-09-02 06:47:07,528 - mmdet - INFO - Epoch [11][6700/7390] lr: 2.000e-03, eta: 0:45:05, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0219, loss_cls: 2.8429, loss_bbox: 1.5200, loss: 4.4305 +2022-09-02 06:47:24,428 - mmdet - INFO - Epoch [11][6750/7390] lr: 2.000e-03, eta: 0:44:49, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0222, loss_cls: 2.8514, loss_bbox: 1.5199, loss: 4.4393 +2022-09-02 06:47:41,460 - mmdet - INFO - Epoch [11][6800/7390] lr: 2.000e-03, eta: 0:44:32, time: 0.340, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0219, loss_cls: 2.8652, loss_bbox: 1.5307, loss: 4.4632 +2022-09-02 06:47:57,739 - mmdet - INFO - Epoch [11][6850/7390] lr: 2.000e-03, eta: 0:44:15, time: 0.325, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0208, loss_cls: 2.8432, loss_bbox: 1.5122, loss: 4.4201 +2022-09-02 06:48:14,250 - mmdet - INFO - Epoch [11][6900/7390] lr: 2.000e-03, eta: 0:43:58, time: 0.331, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0216, loss_cls: 2.8522, loss_bbox: 1.5117, loss: 4.4310 +2022-09-02 06:48:31,022 - mmdet - INFO - Epoch [11][6950/7390] lr: 2.000e-03, eta: 0:43:42, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0223, loss_cls: 2.8609, loss_bbox: 1.5155, loss: 4.4450 +2022-09-02 06:48:47,737 - mmdet - INFO - Epoch [11][7000/7390] lr: 2.000e-03, eta: 0:43:25, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0223, loss_cls: 2.8565, loss_bbox: 1.5048, loss: 4.4291 +2022-09-02 06:49:04,438 - mmdet - INFO - Epoch [11][7050/7390] lr: 2.000e-03, eta: 0:43:08, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0216, loss_cls: 2.8356, loss_bbox: 1.5123, loss: 4.4144 +2022-09-02 06:49:21,021 - mmdet - INFO - Exp name: mask_rcnn.py +2022-09-02 06:49:21,022 - mmdet - INFO - Epoch [11][7100/7390] lr: 2.000e-03, eta: 0:42:51, time: 0.332, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0219, loss_cls: 2.8531, loss_bbox: 1.5113, loss: 4.4317 +2022-09-02 06:49:37,439 - mmdet - INFO - Epoch [11][7150/7390] lr: 2.000e-03, eta: 0:42:35, time: 0.328, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0219, loss_cls: 2.8507, loss_bbox: 1.5123, loss: 4.4298 +2022-09-02 06:49:54,310 - mmdet - INFO - Epoch [11][7200/7390] lr: 2.000e-03, eta: 0:42:18, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0227, loss_cls: 2.8623, loss_bbox: 1.5133, loss: 4.4446 +2022-09-02 06:50:11,258 - mmdet - INFO - Epoch [11][7250/7390] lr: 2.000e-03, eta: 0:42:01, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0221, loss_cls: 2.8541, loss_bbox: 1.5246, loss: 4.4463 +2022-09-02 06:50:27,434 - mmdet - INFO - Epoch [11][7300/7390] lr: 2.000e-03, eta: 0:41:44, time: 0.324, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0219, loss_cls: 2.8559, loss_bbox: 1.5141, loss: 4.4369 +2022-09-02 06:50:44,262 - mmdet - INFO - Epoch [11][7350/7390] lr: 2.000e-03, eta: 0:41:28, time: 0.336, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8443, loss_bbox: 1.5103, loss: 4.4218 +2022-09-02 06:50:57,922 - mmdet - INFO - Saving checkpoint at 11 epochs +2022-09-02 06:51:20,577 - mmdet - INFO - Epoch [12][50/7390] lr: 2.000e-04, eta: 0:40:57, time: 0.425, data_time: 0.074, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0217, loss_cls: 2.8581, loss_bbox: 1.5215, loss: 4.4467 +2022-09-02 06:51:39,868 - mmdet - INFO - Epoch [12][100/7390] lr: 2.000e-04, eta: 0:40:40, time: 0.386, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8328, loss_bbox: 1.5169, loss: 4.4165 +2022-09-02 06:51:59,213 - mmdet - INFO - Epoch [12][150/7390] lr: 2.000e-04, eta: 0:40:24, time: 0.387, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0227, loss_cls: 2.8614, loss_bbox: 1.5181, loss: 4.4484 +2022-09-02 06:52:15,845 - mmdet - INFO - Epoch [12][200/7390] lr: 2.000e-04, eta: 0:40:07, time: 0.332, data_time: 0.008, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0217, loss_cls: 2.8476, loss_bbox: 1.5178, loss: 4.4326 +2022-09-02 06:52:32,860 - mmdet - INFO - Epoch [12][250/7390] lr: 2.000e-04, eta: 0:39:50, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0222, loss_cls: 2.8497, loss_bbox: 1.5142, loss: 4.4316 +2022-09-02 06:52:54,672 - mmdet - INFO - Epoch [12][300/7390] lr: 2.000e-04, eta: 0:39:34, time: 0.437, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0222, loss_cls: 2.8478, loss_bbox: 1.5163, loss: 4.4331 +2022-09-02 06:53:11,201 - mmdet - INFO - Epoch [12][350/7390] lr: 2.000e-04, eta: 0:39:17, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.8421, loss_bbox: 1.5153, loss: 4.4247 +2022-09-02 06:53:27,760 - mmdet - INFO - Epoch [12][400/7390] lr: 2.000e-04, eta: 0:39:00, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0218, loss_cls: 2.8453, loss_bbox: 1.5122, loss: 4.4238 +2022-09-02 06:53:47,318 - mmdet - INFO - Epoch [12][450/7390] lr: 2.000e-04, eta: 0:38:44, time: 0.391, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0221, loss_cls: 2.8586, loss_bbox: 1.5120, loss: 4.4376 +2022-09-02 06:54:03,873 - mmdet - INFO - Epoch [12][500/7390] lr: 2.000e-04, eta: 0:38:27, time: 0.332, data_time: 0.011, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0222, loss_cls: 2.8533, loss_bbox: 1.5063, loss: 4.4276 +2022-09-02 06:54:20,488 - mmdet - INFO - Epoch [12][550/7390] lr: 2.000e-04, eta: 0:38:10, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0213, loss_cls: 2.8228, loss_bbox: 1.5206, loss: 4.4085 +2022-09-02 06:54:36,911 - mmdet - INFO - Epoch [12][600/7390] lr: 2.000e-04, eta: 0:37:53, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0216, loss_cls: 2.8489, loss_bbox: 1.5009, loss: 4.4159 +2022-09-02 06:54:53,449 - mmdet - INFO - Epoch [12][650/7390] lr: 2.000e-04, eta: 0:37:37, time: 0.331, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0213, loss_cls: 2.8402, loss_bbox: 1.5169, loss: 4.4223 +2022-09-02 06:55:10,078 - mmdet - INFO - Epoch [12][700/7390] lr: 2.000e-04, eta: 0:37:20, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0212, loss_cls: 2.8292, loss_bbox: 1.5089, loss: 4.4037 +2022-09-02 06:55:26,238 - mmdet - INFO - Epoch [12][750/7390] lr: 2.000e-04, eta: 0:37:03, time: 0.324, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0214, loss_cls: 2.8392, loss_bbox: 1.5251, loss: 4.4299 +2022-09-02 06:55:42,220 - mmdet - INFO - Epoch [12][800/7390] lr: 2.000e-04, eta: 0:36:46, time: 0.320, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0212, loss_cls: 2.8387, loss_bbox: 1.5053, loss: 4.4097 +2022-09-02 06:55:58,876 - mmdet - INFO - Epoch [12][850/7390] lr: 2.000e-04, eta: 0:36:30, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0222, loss_cls: 2.8445, loss_bbox: 1.5030, loss: 4.4151 +2022-09-02 06:56:15,465 - mmdet - INFO - Epoch [12][900/7390] lr: 2.000e-04, eta: 0:36:13, time: 0.332, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0215, loss_cls: 2.8399, loss_bbox: 1.5167, loss: 4.4228 +2022-09-02 06:56:32,506 - mmdet - INFO - Epoch [12][950/7390] lr: 2.000e-04, eta: 0:35:56, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0221, loss_cls: 2.8485, loss_bbox: 1.5150, loss: 4.4308 +2022-09-02 06:56:49,302 - mmdet - INFO - Epoch [12][1000/7390] lr: 2.000e-04, eta: 0:35:39, time: 0.336, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0221, loss_cls: 2.8410, loss_bbox: 1.5155, loss: 4.4236 +2022-09-02 06:57:06,037 - mmdet - INFO - Epoch [12][1050/7390] lr: 2.000e-04, eta: 0:35:23, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8377, loss_bbox: 1.5130, loss: 4.4179 +2022-09-02 06:57:22,878 - mmdet - INFO - Epoch [12][1100/7390] lr: 2.000e-04, eta: 0:35:06, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8444, loss_bbox: 1.5046, loss: 4.4162 +2022-09-02 06:57:39,313 - mmdet - INFO - Epoch [12][1150/7390] lr: 2.000e-04, eta: 0:34:49, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0216, loss_cls: 2.8345, loss_bbox: 1.5117, loss: 4.4131 +2022-09-02 06:57:56,327 - mmdet - INFO - Epoch [12][1200/7390] lr: 2.000e-04, eta: 0:34:32, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0219, loss_cls: 2.8402, loss_bbox: 1.5173, loss: 4.4244 +2022-09-02 06:58:13,160 - mmdet - INFO - Epoch [12][1250/7390] lr: 2.000e-04, eta: 0:34:16, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0216, loss_cls: 2.8378, loss_bbox: 1.5114, loss: 4.4157 +2022-09-02 06:58:30,382 - mmdet - INFO - Epoch [12][1300/7390] lr: 2.000e-04, eta: 0:33:59, time: 0.345, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0225, loss_cls: 2.8516, loss_bbox: 1.5209, loss: 4.4407 +2022-09-02 06:58:47,255 - mmdet - INFO - Epoch [12][1350/7390] lr: 2.000e-04, eta: 0:33:42, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0217, loss_cls: 2.8421, loss_bbox: 1.5224, loss: 4.4309 +2022-09-02 06:59:04,111 - mmdet - INFO - Epoch [12][1400/7390] lr: 2.000e-04, eta: 0:33:26, time: 0.337, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0211, loss_cls: 2.8170, loss_bbox: 1.5225, loss: 4.4049 +2022-09-02 06:59:20,879 - mmdet - INFO - Epoch [12][1450/7390] lr: 2.000e-04, eta: 0:33:09, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0219, loss_cls: 2.8517, loss_bbox: 1.5148, loss: 4.4336 +2022-09-02 06:59:37,965 - mmdet - INFO - Epoch [12][1500/7390] lr: 2.000e-04, eta: 0:32:52, time: 0.341, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0218, loss_cls: 2.8332, loss_bbox: 1.5226, loss: 4.4219 +2022-09-02 06:59:54,848 - mmdet - INFO - Epoch [12][1550/7390] lr: 2.000e-04, eta: 0:32:35, time: 0.339, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0218, loss_cls: 2.8383, loss_bbox: 1.5104, loss: 4.4154 +2022-09-02 07:00:11,867 - mmdet - INFO - Epoch [12][1600/7390] lr: 2.000e-04, eta: 0:32:19, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0225, loss_cls: 2.8585, loss_bbox: 1.5248, loss: 4.4525 +2022-09-02 07:00:28,850 - mmdet - INFO - Epoch [12][1650/7390] lr: 2.000e-04, eta: 0:32:02, time: 0.340, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0227, loss_cls: 2.8651, loss_bbox: 1.5043, loss: 4.4382 +2022-09-02 07:00:45,559 - mmdet - INFO - Epoch [12][1700/7390] lr: 2.000e-04, eta: 0:31:45, time: 0.334, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0469, loss_rpn_bbox: 0.0220, loss_cls: 2.8264, loss_bbox: 1.5282, loss: 4.4235 +2022-09-02 07:01:02,054 - mmdet - INFO - Epoch [12][1750/7390] lr: 2.000e-04, eta: 0:31:28, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0218, loss_cls: 2.8413, loss_bbox: 1.5192, loss: 4.4282 +2022-09-02 07:01:19,349 - mmdet - INFO - Epoch [12][1800/7390] lr: 2.000e-04, eta: 0:31:12, time: 0.346, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0216, loss_cls: 2.8323, loss_bbox: 1.5117, loss: 4.4098 +2022-09-02 07:01:36,163 - mmdet - INFO - Epoch [12][1850/7390] lr: 2.000e-04, eta: 0:30:55, time: 0.336, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0216, loss_cls: 2.8490, loss_bbox: 1.5157, loss: 4.4307 +2022-09-02 07:01:52,566 - mmdet - INFO - Epoch [12][1900/7390] lr: 2.000e-04, eta: 0:30:38, time: 0.328, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0213, loss_cls: 2.8322, loss_bbox: 1.5077, loss: 4.4055 +2022-09-02 07:02:08,940 - mmdet - INFO - Epoch [12][1950/7390] lr: 2.000e-04, eta: 0:30:21, time: 0.327, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0212, loss_cls: 2.8312, loss_bbox: 1.5113, loss: 4.4078 +2022-09-02 07:02:24,978 - mmdet - INFO - Epoch [12][2000/7390] lr: 2.000e-04, eta: 0:30:05, time: 0.321, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0211, loss_cls: 2.8311, loss_bbox: 1.5040, loss: 4.4006 +2022-09-02 07:02:41,195 - mmdet - INFO - Epoch [12][2050/7390] lr: 2.000e-04, eta: 0:29:48, time: 0.325, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0211, loss_cls: 2.8484, loss_bbox: 1.5181, loss: 4.4310 +2022-09-02 07:02:57,845 - mmdet - INFO - Epoch [12][2100/7390] lr: 2.000e-04, eta: 0:29:31, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0219, loss_cls: 2.8383, loss_bbox: 1.5208, loss: 4.4265 +2022-09-02 07:03:15,030 - mmdet - INFO - Epoch [12][2150/7390] lr: 2.000e-04, eta: 0:29:14, time: 0.344, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0224, loss_cls: 2.8593, loss_bbox: 1.5121, loss: 4.4393 +2022-09-02 07:03:31,987 - mmdet - INFO - Epoch [12][2200/7390] lr: 2.000e-04, eta: 0:28:58, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0220, loss_cls: 2.8505, loss_bbox: 1.5116, loss: 4.4288 +2022-09-02 07:03:48,743 - mmdet - INFO - Epoch [12][2250/7390] lr: 2.000e-04, eta: 0:28:41, time: 0.335, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0219, loss_cls: 2.8439, loss_bbox: 1.5226, loss: 4.4337 +2022-09-02 07:04:06,091 - mmdet - INFO - Epoch [12][2300/7390] lr: 2.000e-04, eta: 0:28:24, time: 0.347, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0224, loss_cls: 2.8545, loss_bbox: 1.5137, loss: 4.4364 +2022-09-02 07:04:23,070 - mmdet - INFO - Epoch [12][2350/7390] lr: 2.000e-04, eta: 0:28:07, time: 0.339, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0223, loss_cls: 2.8556, loss_bbox: 1.5137, loss: 4.4374 +2022-09-02 07:04:39,735 - mmdet - INFO - Epoch [12][2400/7390] lr: 2.000e-04, eta: 0:27:51, time: 0.333, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8475, loss_bbox: 1.5139, loss: 4.4284 +2022-09-02 07:04:56,466 - mmdet - INFO - Epoch [12][2450/7390] lr: 2.000e-04, eta: 0:27:34, time: 0.335, data_time: 0.010, memory: 4348, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0217, loss_cls: 2.8448, loss_bbox: 1.5167, loss: 4.4282 +2022-09-02 07:05:12,916 - mmdet - INFO - Epoch [12][2500/7390] lr: 2.000e-04, eta: 0:27:17, time: 0.329, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0217, loss_cls: 2.8517, loss_bbox: 1.5147, loss: 4.4328 +2022-09-02 07:05:29,416 - mmdet - INFO - Epoch [12][2550/7390] lr: 2.000e-04, eta: 0:27:00, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0214, loss_cls: 2.8536, loss_bbox: 1.5128, loss: 4.4326 +2022-09-02 07:05:45,819 - mmdet - INFO - Epoch [12][2600/7390] lr: 2.000e-04, eta: 0:26:44, time: 0.328, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0212, loss_cls: 2.8310, loss_bbox: 1.5168, loss: 4.4131 +2022-09-02 07:06:02,330 - mmdet - INFO - Epoch [12][2650/7390] lr: 2.000e-04, eta: 0:26:27, time: 0.330, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0217, loss_cls: 2.8514, loss_bbox: 1.5196, loss: 4.4384 +2022-09-02 07:06:19,248 - mmdet - INFO - Epoch [12][2700/7390] lr: 2.000e-04, eta: 0:26:10, time: 0.338, data_time: 0.009, memory: 4348, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0220, loss_cls: 2.8528, loss_bbox: 1.5143, loss: 4.4348 +2022-09-02 07:06:36,397 - mmdet - INFO - Epoch [12][2750/7390] lr: 2.000e-04, eta: 0:25:53, time: 0.343, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0216, loss_cls: 2.8346, loss_bbox: 1.4998, loss: 4.4001 +2022-09-02 07:06:53,671 - mmdet - INFO - Epoch [12][2800/7390] lr: 2.000e-04, eta: 0:25:37, time: 0.345, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0220, loss_cls: 2.8320, loss_bbox: 1.5215, loss: 4.4213 +2022-09-02 07:07:10,435 - mmdet - INFO - Epoch [12][2850/7390] lr: 2.000e-04, eta: 0:25:20, time: 0.336, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0220, loss_cls: 2.8508, loss_bbox: 1.5140, loss: 4.4327 +2022-09-02 07:07:27,662 - mmdet - INFO - Epoch [12][2900/7390] lr: 2.000e-04, eta: 0:25:03, time: 0.344, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0226, loss_cls: 2.8657, loss_bbox: 1.5145, loss: 4.4487 +2022-09-02 07:07:44,724 - mmdet - INFO - Epoch [12][2950/7390] lr: 2.000e-04, eta: 0:24:47, time: 0.342, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0213, loss_cls: 2.8268, loss_bbox: 1.5186, loss: 4.4114 +2022-09-02 07:08:01,770 - mmdet - INFO - Epoch [12][3000/7390] lr: 2.000e-04, eta: 0:24:30, time: 0.341, data_time: 0.008, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0221, loss_cls: 2.8536, loss_bbox: 1.5086, loss: 4.4294 +2022-09-02 07:08:18,791 - mmdet - INFO - Epoch [12][3050/7390] lr: 2.000e-04, eta: 0:24:13, time: 0.341, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0221, loss_cls: 2.8495, loss_bbox: 1.5114, loss: 4.4285 +2022-09-02 07:08:35,942 - mmdet - INFO - Epoch [12][3100/7390] lr: 2.000e-04, eta: 0:23:56, time: 0.343, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0225, loss_cls: 2.8467, loss_bbox: 1.5191, loss: 4.4339 +2022-09-02 07:08:52,438 - mmdet - INFO - Epoch [12][3150/7390] lr: 2.000e-04, eta: 0:23:40, time: 0.330, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0216, loss_cls: 2.8456, loss_bbox: 1.5138, loss: 4.4262 +2022-09-02 07:09:09,286 - mmdet - INFO - Epoch [12][3200/7390] lr: 2.000e-04, eta: 0:23:23, time: 0.337, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0220, loss_cls: 2.8443, loss_bbox: 1.5192, loss: 4.4314 +2022-09-02 07:09:26,166 - mmdet - INFO - Epoch [12][3250/7390] lr: 2.000e-04, eta: 0:23:06, time: 0.338, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0220, loss_cls: 2.8498, loss_bbox: 1.5182, loss: 4.4358 +2022-09-02 07:09:43,318 - mmdet - INFO - Epoch [12][3300/7390] lr: 2.000e-04, eta: 0:22:49, time: 0.343, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0221, loss_cls: 2.8512, loss_bbox: 1.5076, loss: 4.4267 +2022-09-02 07:10:00,460 - mmdet - INFO - Epoch [12][3350/7390] lr: 2.000e-04, eta: 0:22:33, time: 0.342, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0225, loss_cls: 2.8610, loss_bbox: 1.5205, loss: 4.4496 +2022-09-02 07:10:17,351 - mmdet - INFO - Epoch [12][3400/7390] lr: 2.000e-04, eta: 0:22:16, time: 0.338, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0220, loss_cls: 2.8480, loss_bbox: 1.5127, loss: 4.4291 +2022-09-02 07:10:34,398 - mmdet - INFO - Epoch [12][3450/7390] lr: 2.000e-04, eta: 0:21:59, time: 0.341, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0216, loss_cls: 2.8419, loss_bbox: 1.5063, loss: 4.4144 +2022-09-02 07:10:51,208 - mmdet - INFO - Epoch [12][3500/7390] lr: 2.000e-04, eta: 0:21:42, time: 0.336, data_time: 0.012, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0217, loss_cls: 2.8586, loss_bbox: 1.5098, loss: 4.4353 +2022-09-02 07:11:07,800 - mmdet - INFO - Epoch [12][3550/7390] lr: 2.000e-04, eta: 0:21:26, time: 0.332, data_time: 0.011, memory: 4491, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0218, loss_cls: 2.8297, loss_bbox: 1.5101, loss: 4.4068 +2022-09-02 07:11:24,337 - mmdet - INFO - Epoch [12][3600/7390] lr: 2.000e-04, eta: 0:21:09, time: 0.331, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0437, loss_rpn_bbox: 0.0213, loss_cls: 2.8432, loss_bbox: 1.5184, loss: 4.4266 +2022-09-02 07:11:40,932 - mmdet - INFO - Epoch [12][3650/7390] lr: 2.000e-04, eta: 0:20:52, time: 0.332, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0216, loss_cls: 2.8296, loss_bbox: 1.5170, loss: 4.4134 +2022-09-02 07:11:58,201 - mmdet - INFO - Epoch [12][3700/7390] lr: 2.000e-04, eta: 0:20:35, time: 0.345, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0224, loss_cls: 2.8668, loss_bbox: 1.5004, loss: 4.4352 +2022-09-02 07:12:14,729 - mmdet - INFO - Epoch [12][3750/7390] lr: 2.000e-04, eta: 0:20:19, time: 0.330, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0224, loss_cls: 2.8492, loss_bbox: 1.5174, loss: 4.4356 +2022-09-02 07:12:31,345 - mmdet - INFO - Epoch [12][3800/7390] lr: 2.000e-04, eta: 0:20:02, time: 0.333, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0220, loss_cls: 2.8392, loss_bbox: 1.5090, loss: 4.4161 +2022-09-02 07:12:47,867 - mmdet - INFO - Epoch [12][3850/7390] lr: 2.000e-04, eta: 0:19:45, time: 0.330, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0214, loss_cls: 2.8471, loss_bbox: 1.5130, loss: 4.4260 +2022-09-02 07:13:04,979 - mmdet - INFO - Epoch [12][3900/7390] lr: 2.000e-04, eta: 0:19:28, time: 0.342, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0220, loss_cls: 2.8485, loss_bbox: 1.5031, loss: 4.4184 +2022-09-02 07:13:22,030 - mmdet - INFO - Epoch [12][3950/7390] lr: 2.000e-04, eta: 0:19:12, time: 0.341, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0221, loss_cls: 2.8483, loss_bbox: 1.5231, loss: 4.4388 +2022-09-02 07:13:38,762 - mmdet - INFO - Epoch [12][4000/7390] lr: 2.000e-04, eta: 0:18:55, time: 0.335, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0212, loss_cls: 2.8356, loss_bbox: 1.5036, loss: 4.4044 +2022-09-02 07:13:55,784 - mmdet - INFO - Epoch [12][4050/7390] lr: 2.000e-04, eta: 0:18:38, time: 0.340, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0221, loss_cls: 2.8383, loss_bbox: 1.5093, loss: 4.4150 +2022-09-02 07:14:11,977 - mmdet - INFO - Epoch [12][4100/7390] lr: 2.000e-04, eta: 0:18:21, time: 0.323, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0212, loss_cls: 2.8469, loss_bbox: 1.5261, loss: 4.4388 +2022-09-02 07:14:28,781 - mmdet - INFO - Epoch [12][4150/7390] lr: 2.000e-04, eta: 0:18:05, time: 0.336, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0220, loss_cls: 2.8419, loss_bbox: 1.5115, loss: 4.4210 +2022-09-02 07:14:45,738 - mmdet - INFO - Epoch [12][4200/7390] lr: 2.000e-04, eta: 0:17:48, time: 0.340, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0216, loss_cls: 2.8362, loss_bbox: 1.5119, loss: 4.4145 +2022-09-02 07:15:02,692 - mmdet - INFO - Epoch [12][4250/7390] lr: 2.000e-04, eta: 0:17:31, time: 0.339, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0218, loss_cls: 2.8333, loss_bbox: 1.5089, loss: 4.4087 +2022-09-02 07:15:19,990 - mmdet - INFO - Epoch [12][4300/7390] lr: 2.000e-04, eta: 0:17:14, time: 0.346, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0219, loss_cls: 2.8353, loss_bbox: 1.5086, loss: 4.4105 +2022-09-02 07:15:36,498 - mmdet - INFO - Epoch [12][4350/7390] lr: 2.000e-04, eta: 0:16:58, time: 0.330, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0213, loss_cls: 2.8614, loss_bbox: 1.5201, loss: 4.4470 +2022-09-02 07:15:53,271 - mmdet - INFO - Epoch [12][4400/7390] lr: 2.000e-04, eta: 0:16:41, time: 0.335, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0222, loss_cls: 2.8528, loss_bbox: 1.5046, loss: 4.4257 +2022-09-02 07:16:09,745 - mmdet - INFO - Epoch [12][4450/7390] lr: 2.000e-04, eta: 0:16:24, time: 0.329, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0214, loss_cls: 2.8396, loss_bbox: 1.5148, loss: 4.4208 +2022-09-02 07:16:26,507 - mmdet - INFO - Epoch [12][4500/7390] lr: 2.000e-04, eta: 0:16:07, time: 0.336, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0215, loss_cls: 2.8314, loss_bbox: 1.5084, loss: 4.4064 +2022-09-02 07:16:42,807 - mmdet - INFO - Epoch [12][4550/7390] lr: 2.000e-04, eta: 0:15:51, time: 0.326, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0214, loss_cls: 2.8362, loss_bbox: 1.5131, loss: 4.4151 +2022-09-02 07:16:59,571 - mmdet - INFO - Epoch [12][4600/7390] lr: 2.000e-04, eta: 0:15:34, time: 0.335, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0225, loss_cls: 2.8646, loss_bbox: 1.5068, loss: 4.4402 +2022-09-02 07:17:16,358 - mmdet - INFO - Epoch [12][4650/7390] lr: 2.000e-04, eta: 0:15:17, time: 0.336, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0218, loss_cls: 2.8525, loss_bbox: 1.5151, loss: 4.4346 +2022-09-02 07:17:32,962 - mmdet - INFO - Epoch [12][4700/7390] lr: 2.000e-04, eta: 0:15:00, time: 0.332, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0217, loss_cls: 2.8396, loss_bbox: 1.5214, loss: 4.4280 +2022-09-02 07:17:49,657 - mmdet - INFO - Epoch [12][4750/7390] lr: 2.000e-04, eta: 0:14:44, time: 0.334, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0212, loss_cls: 2.8306, loss_bbox: 1.5013, loss: 4.3973 +2022-09-02 07:18:06,169 - mmdet - INFO - Epoch [12][4800/7390] lr: 2.000e-04, eta: 0:14:27, time: 0.331, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0219, loss_cls: 2.8505, loss_bbox: 1.5089, loss: 4.4259 +2022-09-02 07:18:22,855 - mmdet - INFO - Epoch [12][4850/7390] lr: 2.000e-04, eta: 0:14:10, time: 0.334, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0220, loss_cls: 2.8406, loss_bbox: 1.5147, loss: 4.4224 +2022-09-02 07:18:39,499 - mmdet - INFO - Epoch [12][4900/7390] lr: 2.000e-04, eta: 0:13:53, time: 0.332, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0214, loss_cls: 2.8343, loss_bbox: 1.5118, loss: 4.4120 +2022-09-02 07:18:55,863 - mmdet - INFO - Epoch [12][4950/7390] lr: 2.000e-04, eta: 0:13:37, time: 0.327, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0214, loss_cls: 2.8478, loss_bbox: 1.5043, loss: 4.4183 +2022-09-02 07:19:12,405 - mmdet - INFO - Epoch [12][5000/7390] lr: 2.000e-04, eta: 0:13:20, time: 0.331, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0209, loss_cls: 2.8280, loss_bbox: 1.5006, loss: 4.3930 +2022-09-02 07:19:29,614 - mmdet - INFO - Epoch [12][5050/7390] lr: 2.000e-04, eta: 0:13:03, time: 0.344, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0440, loss_rpn_bbox: 0.0216, loss_cls: 2.8348, loss_bbox: 1.5110, loss: 4.4113 +2022-09-02 07:19:46,136 - mmdet - INFO - Epoch [12][5100/7390] lr: 2.000e-04, eta: 0:12:46, time: 0.331, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0214, loss_cls: 2.8292, loss_bbox: 1.5034, loss: 4.3985 +2022-09-02 07:20:03,068 - mmdet - INFO - Epoch [12][5150/7390] lr: 2.000e-04, eta: 0:12:30, time: 0.338, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0217, loss_cls: 2.8529, loss_bbox: 1.5201, loss: 4.4401 +2022-09-02 07:20:19,970 - mmdet - INFO - Epoch [12][5200/7390] lr: 2.000e-04, eta: 0:12:13, time: 0.339, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0222, loss_cls: 2.8522, loss_bbox: 1.5181, loss: 4.4377 +2022-09-02 07:20:36,892 - mmdet - INFO - Epoch [12][5250/7390] lr: 2.000e-04, eta: 0:11:56, time: 0.338, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0220, loss_cls: 2.8372, loss_bbox: 1.5130, loss: 4.4171 +2022-09-02 07:20:53,999 - mmdet - INFO - Epoch [12][5300/7390] lr: 2.000e-04, eta: 0:11:40, time: 0.342, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0226, loss_cls: 2.8485, loss_bbox: 1.5032, loss: 4.4199 +2022-09-02 07:21:11,066 - mmdet - INFO - Epoch [12][5350/7390] lr: 2.000e-04, eta: 0:11:23, time: 0.342, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0220, loss_cls: 2.8492, loss_bbox: 1.5184, loss: 4.4350 +2022-09-02 07:21:27,479 - mmdet - INFO - Epoch [12][5400/7390] lr: 2.000e-04, eta: 0:11:06, time: 0.329, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0217, loss_cls: 2.8496, loss_bbox: 1.5074, loss: 4.4234 +2022-09-02 07:21:44,373 - mmdet - INFO - Epoch [12][5450/7390] lr: 2.000e-04, eta: 0:10:49, time: 0.337, data_time: 0.008, memory: 4491, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0216, loss_cls: 2.8531, loss_bbox: 1.5217, loss: 4.4415 +2022-09-02 07:22:01,323 - mmdet - INFO - Epoch [12][5500/7390] lr: 2.000e-04, eta: 0:10:33, time: 0.340, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0225, loss_cls: 2.8678, loss_bbox: 1.5174, loss: 4.4541 +2022-09-02 07:22:18,741 - mmdet - INFO - Epoch [12][5550/7390] lr: 2.000e-04, eta: 0:10:16, time: 0.348, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0225, loss_cls: 2.8576, loss_bbox: 1.5035, loss: 4.4296 +2022-09-02 07:22:36,057 - mmdet - INFO - Epoch [12][5600/7390] lr: 2.000e-04, eta: 0:09:59, time: 0.346, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0218, loss_cls: 2.8505, loss_bbox: 1.5164, loss: 4.4343 +2022-09-02 07:22:52,732 - mmdet - INFO - Epoch [12][5650/7390] lr: 2.000e-04, eta: 0:09:42, time: 0.334, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0214, loss_cls: 2.8399, loss_bbox: 1.5252, loss: 4.4309 +2022-09-02 07:23:09,599 - mmdet - INFO - Epoch [12][5700/7390] lr: 2.000e-04, eta: 0:09:26, time: 0.337, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0220, loss_cls: 2.8431, loss_bbox: 1.5258, loss: 4.4363 +2022-09-02 07:23:26,086 - mmdet - INFO - Epoch [12][5750/7390] lr: 2.000e-04, eta: 0:09:09, time: 0.330, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0218, loss_cls: 2.8285, loss_bbox: 1.5166, loss: 4.4126 +2022-09-02 07:23:42,826 - mmdet - INFO - Epoch [12][5800/7390] lr: 2.000e-04, eta: 0:08:52, time: 0.334, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0217, loss_cls: 2.8322, loss_bbox: 1.4968, loss: 4.3951 +2022-09-02 07:23:59,127 - mmdet - INFO - Epoch [12][5850/7390] lr: 2.000e-04, eta: 0:08:35, time: 0.327, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0219, loss_cls: 2.8410, loss_bbox: 1.5247, loss: 4.4335 +2022-09-02 07:24:16,026 - mmdet - INFO - Epoch [12][5900/7390] lr: 2.000e-04, eta: 0:08:19, time: 0.338, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0445, loss_rpn_bbox: 0.0215, loss_cls: 2.8641, loss_bbox: 1.5190, loss: 4.4490 +2022-09-02 07:24:33,072 - mmdet - INFO - Epoch [12][5950/7390] lr: 2.000e-04, eta: 0:08:02, time: 0.342, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0221, loss_cls: 2.8369, loss_bbox: 1.5219, loss: 4.4269 +2022-09-02 07:24:50,497 - mmdet - INFO - Epoch [12][6000/7390] lr: 2.000e-04, eta: 0:07:45, time: 0.348, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0468, loss_rpn_bbox: 0.0226, loss_cls: 2.8582, loss_bbox: 1.5198, loss: 4.4474 +2022-09-02 07:25:06,813 - mmdet - INFO - Epoch [12][6050/7390] lr: 2.000e-04, eta: 0:07:28, time: 0.326, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0211, loss_cls: 2.8309, loss_bbox: 1.5071, loss: 4.4041 +2022-09-02 07:25:23,404 - mmdet - INFO - Epoch [12][6100/7390] lr: 2.000e-04, eta: 0:07:12, time: 0.331, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0217, loss_cls: 2.8505, loss_bbox: 1.5079, loss: 4.4248 +2022-09-02 07:25:40,636 - mmdet - INFO - Epoch [12][6150/7390] lr: 2.000e-04, eta: 0:06:55, time: 0.345, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0220, loss_cls: 2.8501, loss_bbox: 1.5278, loss: 4.4455 +2022-09-02 07:25:57,152 - mmdet - INFO - Epoch [12][6200/7390] lr: 2.000e-04, eta: 0:06:38, time: 0.330, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0446, loss_rpn_bbox: 0.0213, loss_cls: 2.8355, loss_bbox: 1.5125, loss: 4.4139 +2022-09-02 07:26:14,211 - mmdet - INFO - Epoch [12][6250/7390] lr: 2.000e-04, eta: 0:06:21, time: 0.341, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0222, loss_cls: 2.8459, loss_bbox: 1.5061, loss: 4.4192 +2022-09-02 07:26:30,883 - mmdet - INFO - Epoch [12][6300/7390] lr: 2.000e-04, eta: 0:06:05, time: 0.333, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0213, loss_cls: 2.8475, loss_bbox: 1.5093, loss: 4.4225 +2022-09-02 07:26:46,963 - mmdet - INFO - Epoch [12][6350/7390] lr: 2.000e-04, eta: 0:05:48, time: 0.322, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0209, loss_cls: 2.8371, loss_bbox: 1.5150, loss: 4.4162 +2022-09-02 07:27:03,741 - mmdet - INFO - Epoch [12][6400/7390] lr: 2.000e-04, eta: 0:05:31, time: 0.335, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0224, loss_cls: 2.8573, loss_bbox: 1.5175, loss: 4.4429 +2022-09-02 07:27:20,779 - mmdet - INFO - Epoch [12][6450/7390] lr: 2.000e-04, eta: 0:05:14, time: 0.341, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0222, loss_cls: 2.8435, loss_bbox: 1.5060, loss: 4.4174 +2022-09-02 07:27:37,531 - mmdet - INFO - Epoch [12][6500/7390] lr: 2.000e-04, eta: 0:04:58, time: 0.335, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0219, loss_cls: 2.8226, loss_bbox: 1.5049, loss: 4.3941 +2022-09-02 07:27:54,777 - mmdet - INFO - Epoch [12][6550/7390] lr: 2.000e-04, eta: 0:04:41, time: 0.346, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0226, loss_cls: 2.8378, loss_bbox: 1.5139, loss: 4.4210 +2022-09-02 07:28:12,086 - mmdet - INFO - Epoch [12][6600/7390] lr: 2.000e-04, eta: 0:04:24, time: 0.345, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0223, loss_cls: 2.8443, loss_bbox: 1.5116, loss: 4.4237 +2022-09-02 07:28:28,992 - mmdet - INFO - Epoch [12][6650/7390] lr: 2.000e-04, eta: 0:04:07, time: 0.339, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0216, loss_cls: 2.8393, loss_bbox: 1.5206, loss: 4.4258 +2022-09-02 07:28:45,780 - mmdet - INFO - Epoch [12][6700/7390] lr: 2.000e-04, eta: 0:03:51, time: 0.335, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0219, loss_cls: 2.8336, loss_bbox: 1.5039, loss: 4.4052 +2022-09-02 07:29:02,741 - mmdet - INFO - Epoch [12][6750/7390] lr: 2.000e-04, eta: 0:03:34, time: 0.339, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0219, loss_cls: 2.8322, loss_bbox: 1.5225, loss: 4.4227 +2022-09-02 07:29:19,238 - mmdet - INFO - Epoch [12][6800/7390] lr: 2.000e-04, eta: 0:03:17, time: 0.331, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0216, loss_cls: 2.8483, loss_bbox: 1.5107, loss: 4.4264 +2022-09-02 07:29:36,577 - mmdet - INFO - Epoch [12][6850/7390] lr: 2.000e-04, eta: 0:03:00, time: 0.346, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0466, loss_rpn_bbox: 0.0226, loss_cls: 2.8571, loss_bbox: 1.5088, loss: 4.4352 +2022-09-02 07:29:53,244 - mmdet - INFO - Epoch [12][6900/7390] lr: 2.000e-04, eta: 0:02:44, time: 0.334, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0218, loss_cls: 2.8542, loss_bbox: 1.5113, loss: 4.4326 +2022-09-02 07:30:09,843 - mmdet - INFO - Epoch [12][6950/7390] lr: 2.000e-04, eta: 0:02:27, time: 0.332, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0217, loss_cls: 2.8402, loss_bbox: 1.5127, loss: 4.4205 +2022-09-02 07:30:26,978 - mmdet - INFO - Epoch [12][7000/7390] lr: 2.000e-04, eta: 0:02:10, time: 0.342, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0217, loss_cls: 2.8427, loss_bbox: 1.5043, loss: 4.4134 +2022-09-02 07:30:43,650 - mmdet - INFO - Epoch [12][7050/7390] lr: 2.000e-04, eta: 0:01:53, time: 0.334, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0216, loss_cls: 2.8355, loss_bbox: 1.5044, loss: 4.4070 +2022-09-02 07:31:00,103 - mmdet - INFO - Epoch [12][7100/7390] lr: 2.000e-04, eta: 0:01:37, time: 0.328, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0216, loss_cls: 2.8418, loss_bbox: 1.5224, loss: 4.4307 +2022-09-02 07:31:17,252 - mmdet - INFO - Epoch [12][7150/7390] lr: 2.000e-04, eta: 0:01:20, time: 0.343, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0457, loss_rpn_bbox: 0.0218, loss_cls: 2.8319, loss_bbox: 1.5089, loss: 4.4082 +2022-09-02 07:31:33,805 - mmdet - INFO - Epoch [12][7200/7390] lr: 2.000e-04, eta: 0:01:03, time: 0.332, data_time: 0.011, memory: 4491, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0213, loss_cls: 2.8344, loss_bbox: 1.5093, loss: 4.4099 +2022-09-02 07:31:50,802 - mmdet - INFO - Epoch [12][7250/7390] lr: 2.000e-04, eta: 0:00:46, time: 0.339, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0217, loss_cls: 2.8599, loss_bbox: 1.5180, loss: 4.4450 +2022-09-02 07:32:07,286 - mmdet - INFO - Epoch [12][7300/7390] lr: 2.000e-04, eta: 0:00:30, time: 0.330, data_time: 0.010, memory: 4491, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0215, loss_cls: 2.8410, loss_bbox: 1.4983, loss: 4.4061 +2022-09-02 07:32:24,170 - mmdet - INFO - Epoch [12][7350/7390] lr: 2.000e-04, eta: 0:00:13, time: 0.337, data_time: 0.009, memory: 4491, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0217, loss_cls: 2.8307, loss_bbox: 1.5162, loss: 4.4137 +2022-09-02 07:32:38,123 - mmdet - INFO - Saving checkpoint at 12 epochs diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/20220901_231408.log.json b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/20220901_231408.log.json new file mode 100644 index 0000000000000000000000000000000000000000..d74a7acd24024aabb92309033049d6b9d60aa4ce --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/20220901_231408.log.json @@ -0,0 +1,1765 @@ +{"env_info": "sys.platform: linux\nPython: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: A100-SXM-80GB\nCUDA_HOME: /usr/local/cuda\nNVCC: Cuda compilation tools, release 11.3, V11.3.109\nGCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0\nPyTorch: 1.10.0\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - LAPACK is enabled (usually provided by MKL)\n - NNPACK is enabled\n - CPU capability usage: AVX512\n - CUDA Runtime 11.3\n - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86\n - CuDNN 8.2\n - Magma 2.5.2\n - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.11.1+cu113\nOpenCV: 4.6.0\nMMCV: 1.6.1\nMMCV Compiler: GCC 9.3\nMMCV CUDA Compiler: 11.3\nMMDetection: 2.25.1+673dada", "config": "model = dict(\n type='SelfSupDetector',\n backbone=dict(\n type='SelfSupMaskRCNN',\n backbone=dict(\n type='ResNet',\n depth=50,\n num_stages=4,\n out_indices=(0, 1, 2, 3),\n frozen_stages=4,\n norm_cfg=dict(type='BN', requires_grad=False),\n norm_eval=True,\n style='pytorch',\n init_cfg=dict(\n type='Pretrained',\n checkpoint='pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth'\n )),\n neck=dict(\n type='FPN',\n in_channels=[256, 512, 1024, 2048],\n out_channels=256,\n num_outs=5),\n rpn_head=dict(\n type='RPNHead',\n in_channels=256,\n feat_channels=256,\n anchor_generator=dict(\n type='AnchorGenerator',\n scales=[8],\n ratios=[0.5, 1.0, 2.0],\n strides=[4, 8, 16, 32, 64]),\n bbox_coder=dict(\n type='DeltaXYWHBBoxCoder',\n target_means=[0.0, 0.0, 0.0, 0.0],\n target_stds=[1.0, 1.0, 1.0, 1.0]),\n loss_cls=dict(\n type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),\n loss_bbox=dict(type='L1Loss', loss_weight=1.0)),\n roi_head=dict(\n type='SelfSupStandardRoIHead',\n bbox_roi_extractor=dict(\n type='SingleRoIExtractor',\n roi_layer=dict(\n type='RoIAlign', output_size=7, sampling_ratio=0),\n out_channels=256,\n featmap_strides=[4, 8, 16, 32]),\n bbox_head=dict(\n type='SelfSupShared4Conv1FCBBoxHead',\n in_channels=256,\n num_classes=256,\n roi_feat_size=7,\n loss_cls=dict(\n type='ContrastiveLoss', loss_weight=1.0, temperature=0.2)),\n mask_roi_extractor=None,\n mask_head=None),\n train_cfg=dict(\n rpn=dict(\n assigner=dict(\n type='MaxIoUAssigner',\n pos_iou_thr=0.7,\n neg_iou_thr=0.3,\n min_pos_iou=0.3,\n match_low_quality=True,\n ignore_iof_thr=-1),\n sampler=dict(\n type='RandomSampler',\n num=4096,\n pos_fraction=1.0,\n neg_pos_ub=-1,\n add_gt_as_proposals=False),\n allowed_border=-1,\n pos_weight=-1,\n debug=False),\n rpn_proposal=dict(\n nms_pre=2000,\n max_per_img=1000,\n nms=dict(type='nms', iou_threshold=0.7),\n min_bbox_size=0),\n rcnn=dict(\n assigner=dict(\n type='MaxIoUAssigner',\n pos_iou_thr=0.5,\n neg_iou_thr=0.5,\n min_pos_iou=0.5,\n match_low_quality=True,\n ignore_iof_thr=-1,\n gt_max_assign_all=False),\n sampler=dict(\n type='RandomSampler',\n num=4096,\n pos_fraction=1,\n neg_pos_ub=0,\n add_gt_as_proposals=True),\n mask_size=28,\n pos_weight=-1,\n debug=False)),\n test_cfg=dict(\n rpn=dict(\n nms_pre=1000,\n max_per_img=1000,\n nms=dict(type='nms', iou_threshold=0.7),\n min_bbox_size=0),\n rcnn=dict(\n score_thr=0.05,\n nms=dict(type='nms', iou_threshold=0.5),\n max_per_img=100,\n mask_thr_binary=0.5))))\ntrain_dataset_type = 'MultiViewCocoDataset'\ntest_dataset_type = 'CocoDataset'\ndata_root = 'data/coco/'\nclasses = ['selective_search']\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\nload_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True, with_mask=False)\n]\ntrain_pipeline1 = [\n dict(\n type='Resize',\n img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n multiscale_mode='value',\n keep_ratio=True),\n dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)),\n dict(type='Pad', size_divisor=32),\n dict(type='RandFlip', flip_ratio=0.5),\n dict(\n type='OneOf',\n transforms=[\n dict(type='Identity'),\n dict(type='AutoContrast'),\n dict(type='RandEqualize'),\n dict(type='RandSolarize'),\n dict(type='RandColor'),\n dict(type='RandContrast'),\n dict(type='RandBrightness'),\n dict(type='RandSharpness'),\n dict(type='RandPosterize')\n ]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n]\ntrain_pipeline2 = [\n dict(\n type='Resize',\n img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n multiscale_mode='value',\n keep_ratio=True),\n dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)),\n dict(type='Pad', size_divisor=32),\n dict(type='RandFlip', flip_ratio=0.5),\n dict(\n type='OneOf',\n transforms=[\n dict(type='Identity'),\n dict(type='AutoContrast'),\n dict(type='RandEqualize'),\n dict(type='RandSolarize'),\n dict(type='RandColor'),\n dict(type='RandContrast'),\n dict(type='RandBrightness'),\n dict(type='RandSharpness'),\n dict(type='RandPosterize')\n ]),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=2,\n workers_per_gpu=2,\n train=dict(\n type='MultiViewCocoDataset',\n dataset=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file=\n 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json',\n img_prefix='data/coco/train2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations', with_bbox=True, with_mask=False)\n ]),\n num_views=2,\n pipelines=[[{\n 'type':\n 'Resize',\n 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736),\n (1333, 768), (1333, 800)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }, {\n 'type': 'FilterAnnotations',\n 'min_gt_bbox_wh': (0.01, 0.01)\n }, {\n 'type': 'Pad',\n 'size_divisor': 32\n }, {\n 'type': 'RandFlip',\n 'flip_ratio': 0.5\n }, {\n 'type':\n 'OneOf',\n 'transforms': [{\n 'type': 'Identity'\n }, {\n 'type': 'AutoContrast'\n }, {\n 'type': 'RandEqualize'\n }, {\n 'type': 'RandSolarize'\n }, {\n 'type': 'RandColor'\n }, {\n 'type': 'RandContrast'\n }, {\n 'type': 'RandBrightness'\n }, {\n 'type': 'RandSharpness'\n }, {\n 'type': 'RandPosterize'\n }]\n }, {\n 'type': 'Normalize',\n 'mean': [123.675, 116.28, 103.53],\n 'std': [58.395, 57.12, 57.375],\n 'to_rgb': True\n }, {\n 'type': 'DefaultFormatBundle'\n }, {\n 'type': 'Collect',\n 'keys': ['img', 'gt_bboxes', 'gt_labels']\n }],\n [{\n 'type':\n 'Resize',\n 'img_scale': [(1333, 640), (1333, 672), (1333, 704),\n (1333, 736), (1333, 768), (1333, 800)],\n 'multiscale_mode':\n 'value',\n 'keep_ratio':\n True\n }, {\n 'type': 'FilterAnnotations',\n 'min_gt_bbox_wh': (0.01, 0.01)\n }, {\n 'type': 'Pad',\n 'size_divisor': 32\n }, {\n 'type': 'RandFlip',\n 'flip_ratio': 0.5\n }, {\n 'type':\n 'OneOf',\n 'transforms': [{\n 'type': 'Identity'\n }, {\n 'type': 'AutoContrast'\n }, {\n 'type': 'RandEqualize'\n }, {\n 'type': 'RandSolarize'\n }, {\n 'type': 'RandColor'\n }, {\n 'type': 'RandContrast'\n }, {\n 'type': 'RandBrightness'\n }, {\n 'type': 'RandSharpness'\n }, {\n 'type': 'RandPosterize'\n }]\n }, {\n 'type': 'Normalize',\n 'mean': [123.675, 116.28, 103.53],\n 'std': [58.395, 57.12, 57.375],\n 'to_rgb': True\n }, {\n 'type': 'DefaultFormatBundle'\n }, {\n 'type': 'Collect',\n 'keys': ['img', 'gt_bboxes', 'gt_labels']\n }]]),\n val=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='CocoDataset',\n classes=['selective_search'],\n ann_file='data/coco/annotations/instances_val2017.json',\n img_prefix='data/coco/val2017/',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1333, 800),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size_divisor=32),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nevaluation = dict(metric='bbox', interval=65535)\noptimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)\noptimizer_config = dict(grad_clip=None)\nlr_config = dict(\n policy='step',\n warmup='linear',\n warmup_iters=500,\n warmup_ratio=0.001,\n step=[8, 11])\nrunner = dict(type='EpochBasedRunner', max_epochs=12)\ncheckpoint_config = dict(interval=1)\nlog_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')])\ncustom_hooks = [\n dict(type='MomentumUpdateHook'),\n dict(\n type='MMDetWandbHook',\n init_kwargs=dict(project='mmdet_pretrain', group='pretrain'),\n interval=50,\n num_eval_images=0,\n log_checkpoint=False)\n]\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\nopencv_num_threads = 0\nmp_start_method = 'fork'\nauto_scale_lr = dict(enable=False, base_batch_size=16)\ncustom_imports = dict(\n imports=[\n 'mmselfsup.core', 'mmselfsup.datasets.pipelines',\n 'selfsup.datasets.pipelines.selfsup_pipelines',\n 'selfsup.datasets.pipelines.rand_aug',\n 'selfsup.datasets.single_view_coco',\n 'selfsup.datasets.multi_view_coco',\n 'selfsup.models.losses.contrastive_loss',\n 'selfsup.models.dense_heads.fcos_head',\n 'selfsup.models.dense_heads.retina_head',\n 'selfsup.models.dense_heads.detr_head',\n 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head',\n 'selfsup.models.roi_heads.standard_roi_head',\n 'selfsup.models.detectors.selfsup_detector',\n 'selfsup.models.detectors.selfsup_fcos',\n 'selfsup.models.detectors.selfsup_detr',\n 'selfsup.models.detectors.selfsup_retinanet',\n 'selfsup.models.detectors.selfsup_mask_rcnn',\n 'selfsup.core.bbox.match_costs.match_cost'\n ],\n allow_failed_imports=False)\nwork_dir = 'work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain'\nauto_resume = False\ngpu_ids = range(0, 8)\n", "seed": 42, "exp_name": "mask_rcnn.py"} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.00198, "memory": 2655, "data_time": 0.07414, "loss_rpn_cls": 0.29954, "loss_rpn_bbox": 0.03017, "loss_cls": 6.35963, "loss_bbox": 1.59687, "loss": 8.28621, "time": 0.43969} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.00398, "memory": 2655, "data_time": 0.00864, "loss_rpn_cls": 0.11247, "loss_rpn_bbox": 0.02884, "loss_cls": 5.95212, "loss_bbox": 1.94899, "loss": 8.04242, "time": 0.33785} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 0.00597, "memory": 2796, "data_time": 0.00874, "loss_rpn_cls": 0.10819, "loss_rpn_bbox": 0.02844, "loss_cls": 5.84063, "loss_bbox": 1.94988, "loss": 7.92715, "time": 0.33156} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 0.00797, "memory": 2796, "data_time": 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0.0002, "memory": 4491, "data_time": 0.01029, "loss_rpn_cls": 0.0444, "loss_rpn_bbox": 0.02158, "loss_cls": 2.83926, "loss_bbox": 1.5206, "loss": 4.42584, "time": 0.33915} +{"mode": "train", "epoch": 12, "iter": 6700, "lr": 0.0002, "memory": 4491, "data_time": 0.00884, "loss_rpn_cls": 0.04583, "loss_rpn_bbox": 0.02191, "loss_cls": 2.83357, "loss_bbox": 1.50391, "loss": 4.40521, "time": 0.33543} +{"mode": "train", "epoch": 12, "iter": 6750, "lr": 0.0002, "memory": 4491, "data_time": 0.00961, "loss_rpn_cls": 0.04605, "loss_rpn_bbox": 0.0219, "loss_cls": 2.83221, "loss_bbox": 1.52251, "loss": 4.42267, "time": 0.3388} +{"mode": "train", "epoch": 12, "iter": 6800, "lr": 0.0002, "memory": 4491, "data_time": 0.00997, "loss_rpn_cls": 0.04579, "loss_rpn_bbox": 0.02164, "loss_cls": 2.84827, "loss_bbox": 1.51067, "loss": 4.42638, "time": 0.33098} +{"mode": "train", "epoch": 12, "iter": 6850, "lr": 0.0002, "memory": 4491, "data_time": 0.00893, "loss_rpn_cls": 0.04661, "loss_rpn_bbox": 0.02263, 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"epoch": 12, "iter": 7100, "lr": 0.0002, "memory": 4491, "data_time": 0.00886, "loss_rpn_cls": 0.04484, "loss_rpn_bbox": 0.02165, "loss_cls": 2.8418, "loss_bbox": 1.52245, "loss": 4.43073, "time": 0.32827} +{"mode": "train", "epoch": 12, "iter": 7150, "lr": 0.0002, "memory": 4491, "data_time": 0.0098, "loss_rpn_cls": 0.04571, "loss_rpn_bbox": 0.0218, "loss_cls": 2.83185, "loss_bbox": 1.50888, "loss": 4.40824, "time": 0.34322} +{"mode": "train", "epoch": 12, "iter": 7200, "lr": 0.0002, "memory": 4491, "data_time": 0.01063, "loss_rpn_cls": 0.04491, "loss_rpn_bbox": 0.0213, "loss_cls": 2.83444, "loss_bbox": 1.50927, "loss": 4.40993, "time": 0.33172} +{"mode": "train", "epoch": 12, "iter": 7250, "lr": 0.0002, "memory": 4491, "data_time": 0.00939, "loss_rpn_cls": 0.04537, "loss_rpn_bbox": 0.02169, "loss_cls": 2.85992, "loss_bbox": 1.51801, "loss": 4.445, "time": 0.33906} +{"mode": "train", "epoch": 12, "iter": 7300, "lr": 0.0002, "memory": 4491, "data_time": 0.00972, "loss_rpn_cls": 0.04528, "loss_rpn_bbox": 0.02152, "loss_cls": 2.841, "loss_bbox": 1.49831, "loss": 4.4061, "time": 0.33036} +{"mode": "train", "epoch": 12, "iter": 7350, "lr": 0.0002, "memory": 4491, "data_time": 0.00881, "loss_rpn_cls": 0.04506, "loss_rpn_bbox": 0.0217, "loss_cls": 2.83074, "loss_bbox": 1.51622, "loss": 4.41373, "time": 0.33726} diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/final_model.pth b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/final_model.pth new file mode 100644 index 0000000000000000000000000000000000000000..e6a1a83e6dd3be21fef288fc1009d3b1a2de6bb2 --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/final_model.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e4328af18c59d656037f81d1fd10de0878bc61849f1432e6adfe51edb37bf1bb +size 170913485 diff --git a/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/mask_rcnn.py b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/mask_rcnn.py new file mode 100644 index 0000000000000000000000000000000000000000..ae0c7422031a43fbcca89d52a0b41071c61b388f --- /dev/null +++ b/pretrain/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain/mask_rcnn.py @@ -0,0 +1,417 @@ +model = dict( + type='SelfSupDetector', + backbone=dict( + type='SelfSupMaskRCNN', + backbone=dict( + type='ResNet', + depth=50, + num_stages=4, + out_indices=(0, 1, 2, 3), + frozen_stages=4, + norm_cfg=dict(type='BN', requires_grad=False), + norm_eval=True, + style='pytorch', + init_cfg=dict( + type='Pretrained', + checkpoint='pretrain/pixpro_resnet50_8xb128-coslr-400e_in1k.pth' + )), + neck=dict( + type='FPN', + in_channels=[256, 512, 1024, 2048], + out_channels=256, + num_outs=5), + rpn_head=dict( + type='RPNHead', + in_channels=256, + feat_channels=256, + anchor_generator=dict( + type='AnchorGenerator', + scales=[8], + ratios=[0.5, 1.0, 2.0], + strides=[4, 8, 16, 32, 64]), + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[1.0, 1.0, 1.0, 1.0]), + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + roi_head=dict( + type='SelfSupStandardRoIHead', + bbox_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict( + type='RoIAlign', output_size=7, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + bbox_head=dict( + type='SelfSupShared4Conv1FCBBoxHead', + in_channels=256, + num_classes=256, + roi_feat_size=7, + loss_cls=dict( + type='ContrastiveLoss', loss_weight=1.0, temperature=0.2)), + mask_roi_extractor=None, + mask_head=None), + train_cfg=dict( + rpn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.7, + neg_iou_thr=0.3, + min_pos_iou=0.3, + match_low_quality=True, + ignore_iof_thr=-1), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1.0, + neg_pos_ub=-1, + add_gt_as_proposals=False), + allowed_border=-1, + pos_weight=-1, + debug=False), + rpn_proposal=dict( + nms_pre=2000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + assigner=dict( + type='MaxIoUAssigner', + pos_iou_thr=0.5, + neg_iou_thr=0.5, + min_pos_iou=0.5, + match_low_quality=True, + ignore_iof_thr=-1, + gt_max_assign_all=False), + sampler=dict( + type='RandomSampler', + num=4096, + pos_fraction=1, + neg_pos_ub=0, + add_gt_as_proposals=True), + mask_size=28, + pos_weight=-1, + debug=False)), + test_cfg=dict( + rpn=dict( + nms_pre=1000, + max_per_img=1000, + nms=dict(type='nms', iou_threshold=0.7), + min_bbox_size=0), + rcnn=dict( + score_thr=0.05, + nms=dict(type='nms', iou_threshold=0.5), + max_per_img=100, + mask_thr_binary=0.5)))) +train_dataset_type = 'MultiViewCocoDataset' +test_dataset_type = 'CocoDataset' +data_root = 'data/coco/' +classes = ['selective_search'] +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +load_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) +] +train_pipeline1 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +train_pipeline2 = [ + dict( + type='Resize', + img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + multiscale_mode='value', + keep_ratio=True), + dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), + dict(type='Pad', size_divisor=32), + dict(type='RandFlip', flip_ratio=0.5), + dict( + type='OneOf', + transforms=[ + dict(type='Identity'), + dict(type='AutoContrast'), + dict(type='RandEqualize'), + dict(type='RandSolarize'), + dict(type='RandColor'), + dict(type='RandContrast'), + dict(type='RandBrightness'), + dict(type='RandSharpness'), + dict(type='RandPosterize') + ]), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=2, + train=dict( + type='MultiViewCocoDataset', + dataset=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file= + 'data/coco/filtered_proposals/train2017_ratio3size0008@0.5.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=False) + ]), + num_views=2, + pipelines=[[{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), + (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }], + [{ + 'type': + 'Resize', + 'img_scale': [(1333, 640), (1333, 672), (1333, 704), + (1333, 736), (1333, 768), (1333, 800)], + 'multiscale_mode': + 'value', + 'keep_ratio': + True + }, { + 'type': 'FilterAnnotations', + 'min_gt_bbox_wh': (0.01, 0.01) + }, { + 'type': 'Pad', + 'size_divisor': 32 + }, { + 'type': 'RandFlip', + 'flip_ratio': 0.5 + }, { + 'type': + 'OneOf', + 'transforms': [{ + 'type': 'Identity' + }, { + 'type': 'AutoContrast' + }, { + 'type': 'RandEqualize' + }, { + 'type': 'RandSolarize' + }, { + 'type': 'RandColor' + }, { + 'type': 'RandContrast' + }, { + 'type': 'RandBrightness' + }, { + 'type': 'RandSharpness' + }, { + 'type': 'RandPosterize' + }] + }, { + 'type': 'Normalize', + 'mean': [123.675, 116.28, 103.53], + 'std': [58.395, 57.12, 57.375], + 'to_rgb': True + }, { + 'type': 'DefaultFormatBundle' + }, { + 'type': 'Collect', + 'keys': ['img', 'gt_bboxes', 'gt_labels'] + }]]), + val=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='CocoDataset', + classes=['selective_search'], + ann_file='data/coco/annotations/instances_val2017.json', + img_prefix='data/coco/val2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(1333, 800), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size_divisor=32), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +evaluation = dict(metric='bbox', interval=65535) +optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[8, 11]) +runner = dict(type='EpochBasedRunner', max_epochs=12) +checkpoint_config = dict(interval=1) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [ + dict(type='MomentumUpdateHook'), + dict( + type='MMDetWandbHook', + init_kwargs=dict(project='mmdet_pretrain', group='pretrain'), + interval=50, + num_eval_images=0, + log_checkpoint=False) +] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +opencv_num_threads = 0 +mp_start_method = 'fork' +auto_scale_lr = dict(enable=False, base_batch_size=16) +custom_imports = dict( + imports=[ + 'mmselfsup.core', 'mmselfsup.datasets.pipelines', + 'selfsup.datasets.pipelines.selfsup_pipelines', + 'selfsup.datasets.pipelines.rand_aug', + 'selfsup.datasets.single_view_coco', + 'selfsup.datasets.multi_view_coco', + 'selfsup.models.losses.contrastive_loss', + 'selfsup.models.dense_heads.fcos_head', + 'selfsup.models.dense_heads.retina_head', + 'selfsup.models.dense_heads.detr_head', + 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', + 'selfsup.models.roi_heads.standard_roi_head', + 'selfsup.models.detectors.selfsup_detector', + 'selfsup.models.detectors.selfsup_fcos', + 'selfsup.models.detectors.selfsup_detr', + 'selfsup.models.detectors.selfsup_retinanet', + 'selfsup.models.detectors.selfsup_mask_rcnn', + 'selfsup.core.bbox.match_costs.match_cost' + ], + allow_failed_imports=False) +work_dir = 'work_dirs/selfsup_mask_rcnn_soft-teacher-mstrain_sampler-4096-1.0_temperature-0.2_1x_coco_pixpro-pretrain' +auto_resume = False +gpu_ids = range(0, 8)