diff --git "a/mask_rcnn_uniperceiver_adapter_base_fpn_3x_coco.log" "b/mask_rcnn_uniperceiver_adapter_base_fpn_3x_coco.log" new file mode 100644--- /dev/null +++ "b/mask_rcnn_uniperceiver_adapter_base_fpn_3x_coco.log" @@ -0,0 +1,10092 @@ +2022-09-21 20:19:40,121 - mmdet - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB +CUDA_HOME: /mnt/lustre/share/cuda-11.1 +NVCC: Build cuda_11.1.TC455_06.29069683_0 +GCC: gcc (GCC) 7.3.0 +PyTorch: 1.9.0+cu111 +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 v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-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 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, 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 -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=1.9.0, 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: 0.10.0+cu111 +OpenCV: 4.6.0 +MMCV: 1.4.2 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.1 +MMDetection: 2.22.0+abdbbac +------------------------------------------------------------ + +2022-09-21 20:19:43,161 - mmdet - INFO - Distributed training: True +2022-09-21 20:19:46,069 - mmdet - INFO - Config: +model = dict( + type='MaskRCNN', + backbone=dict( + type='UniPerceiverNewAdapter', + patch_size=16, + embed_dim=768, + depth=12, + num_heads=12, + mlp_ratio=4, + drop_path_rate=0.2, + conv_inplane=64, + n_points=4, + deform_num_heads=12, + cffn_ratio=0.25, + deform_ratio=0.5, + interaction_indexes=[[0, 2], [3, 5], [6, 8], [9, 11]], + window_attn=[ + True, True, False, True, True, False, True, True, False, True, + True, False + ], + window_size=[14, 14, None, 14, 14, None, 14, 14, None, 14, 14, None], + pretrained= + 'pretrained/uni-perceiver-base-L12-H768-224size-torch-pretrained_converted.pth' + ), + neck=dict( + type='FPN', + in_channels=[768, 768, 768, 768], + 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='StandardRoIHead', + 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='Shared2FCBBoxHead', + in_channels=256, + fc_out_channels=1024, + roi_feat_size=7, + num_classes=80, + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[0.1, 0.1, 0.2, 0.2]), + reg_class_agnostic=False, + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + mask_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + mask_head=dict( + type='FCNMaskHead', + num_convs=4, + in_channels=256, + conv_out_channels=256, + num_classes=80, + loss_mask=dict( + type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))), + 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=256, + pos_fraction=0.5, + 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), + sampler=dict( + type='RandomSampler', + num=512, + pos_fraction=0.25, + neg_pos_ub=-1, + 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))) +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, with_mask=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='RandomCrop', + crop_type='absolute_range', + crop_size=(1024, 1024), + allow_negative_crop=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=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) +] +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='data/coco/annotations/instances_train2017.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=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='RandomCrop', + crop_type='absolute_range', + crop_size=(1024, 1024), + allow_negative_crop=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=32), + dict(type='DefaultFormatBundle'), + dict( + type='Collect', + keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) + ]), + 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(metric=['bbox', 'segm']) +optimizer = dict( + type='AdamW', + lr=0.0001, + weight_decay=0.05, + constructor='LayerDecayOptimizerConstructorUniPerceiver', + paramwise_cfg=dict(num_layers=12, layer_decay_rate=0.65)) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[27, 33]) +runner = dict(type='EpochBasedRunner', max_epochs=36) +checkpoint_config = dict(interval=1, max_keep_ckpts=3, save_last=True) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [dict(type='NumClassCheckHook')] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +pretrained = 'pretrained/uni-perceiver-base-L12-H768-224size-torch-pretrained_converted.pth' +work_dir = './work_dirs/mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco' +auto_resume = False +gpu_ids = range(0, 8) + +2022-09-21 20:19:55,901 - mmdet - INFO - Set random seed to 613177100, deterministic: False +2022-09-21 20:19:56,465 - mmdet - INFO - load checkpoint from local path: pretrained/uni-perceiver-base-L12-H768-224size-torch-pretrained_converted.pth +2022-09-21 20:19:57,597 - mmdet - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: visual_embed.embeddings_type.weight + +2022-09-21 20:19:58,171 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} +2022-09-21 20:19:58,188 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} +2022-09-21 20:19:58,192 - mmdet - INFO - initialize Shared2FCBBoxHead 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 + +backbone.level_embed - torch.Size([3, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.embeddings_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.embeddings_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.spatial_pos_embed.weight - torch.Size([196, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.temporal_pos_embed.weight - torch.Size([8, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.proj.weight - torch.Size([768, 3, 16, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.1.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.1.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.4.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.4.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.7.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.7.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv2.1.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv2.1.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv3.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv3.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv4.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv4.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc1.weight - torch.Size([768, 64, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc2.weight - torch.Size([768, 128, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc3.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc4.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc4.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.up.weight - torch.Size([768, 768, 2, 2]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.up.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm3.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm4.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm4.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.0.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.1.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.2.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.3.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_conv.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_cls.bias - torch.Size([3]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_reg.bias - torch.Size([12]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_cls.weight - torch.Size([81, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_cls.bias - torch.Size([81]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_reg.weight - torch.Size([320, 1024]): +NormalInit: mean=0, std=0.001, bias=0 + +roi_head.bbox_head.fc_reg.bias - torch.Size([320]): +NormalInit: mean=0, std=0.001, bias=0 + +roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.1.weight - torch.Size([1024, 1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.1.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.mask_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.upsample.weight - torch.Size([256, 256, 2, 2]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.upsample.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.conv_logits.weight - torch.Size([80, 256, 1, 1]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.conv_logits.bias - torch.Size([80]): +Initialized by user-defined `init_weights` in FCNMaskHead +2022-09-21 20:20:14,079 - mmdet - INFO - Start running, host: chenzhe1@SH-IDC1-10-140-1-132, work_dir: /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco +2022-09-21 20:20:14,079 - mmdet - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) NumClassCheckHook +(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 +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) NumClassCheckHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2022-09-21 20:20:14,079 - mmdet - INFO - workflow: [('train', 1)], max: 36 epochs +2022-09-21 20:20:14,080 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco by HardDiskBackend. +2022-09-21 20:21:51,435 - mmdet - INFO - Epoch [1][50/7330] lr: 9.890e-06, eta: 5 days, 22:37:17, time: 1.946, data_time: 1.483, memory: 30699, loss_rpn_cls: 0.6683, loss_rpn_bbox: 0.0933, loss_cls: 3.6041, acc: 32.6340, loss_bbox: 0.0128, loss_mask: 0.9218, loss: 5.3004 +2022-09-21 20:22:13,252 - mmdet - INFO - Epoch [1][100/7330] lr: 1.988e-05, eta: 3 days, 15:18:21, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.5336, loss_rpn_bbox: 0.0882, loss_cls: 0.7600, acc: 95.3833, loss_bbox: 0.0938, loss_mask: 0.7750, loss: 2.2506 +2022-09-21 20:22:35,001 - mmdet - INFO - Epoch [1][150/7330] lr: 2.987e-05, eta: 2 days, 20:47:40, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.3084, loss_rpn_bbox: 0.0793, loss_cls: 0.3550, acc: 95.2900, loss_bbox: 0.1590, loss_mask: 0.7110, loss: 1.6128 +2022-09-21 20:22:56,905 - mmdet - INFO - Epoch [1][200/7330] lr: 3.986e-05, eta: 2 days, 11:37:31, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.2236, loss_rpn_bbox: 0.0787, loss_cls: 0.3739, acc: 94.7985, loss_bbox: 0.1778, loss_mask: 0.6854, loss: 1.5393 +2022-09-21 20:23:18,611 - mmdet - INFO - Epoch [1][250/7330] lr: 4.985e-05, eta: 2 days, 6:02:54, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.1839, loss_rpn_bbox: 0.0817, loss_cls: 0.3949, acc: 94.1176, loss_bbox: 0.2036, loss_mask: 0.6570, loss: 1.5211 +2022-09-21 20:23:40,281 - mmdet - INFO - Epoch [1][300/7330] lr: 5.984e-05, eta: 2 days, 2:19:15, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.1610, loss_rpn_bbox: 0.0782, loss_cls: 0.4114, acc: 93.5469, loss_bbox: 0.2316, loss_mask: 0.6224, loss: 1.5045 +2022-09-21 20:24:02,478 - mmdet - INFO - Epoch [1][350/7330] lr: 6.983e-05, eta: 1 day, 23:45:27, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.1337, loss_rpn_bbox: 0.0704, loss_cls: 0.3884, acc: 93.4026, loss_bbox: 0.2427, loss_mask: 0.5837, loss: 1.4189 +2022-09-21 20:24:23,863 - mmdet - INFO - Epoch [1][400/7330] lr: 7.982e-05, eta: 1 day, 21:42:01, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.1282, loss_rpn_bbox: 0.0726, loss_cls: 0.4445, acc: 92.2237, loss_bbox: 0.2889, loss_mask: 0.5678, loss: 1.5019 +2022-09-21 20:24:45,728 - mmdet - INFO - Epoch [1][450/7330] lr: 8.981e-05, eta: 1 day, 20:10:13, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.1232, loss_rpn_bbox: 0.0776, loss_cls: 0.4272, acc: 91.7778, loss_bbox: 0.3032, loss_mask: 0.5478, loss: 1.4790 +2022-09-21 20:25:07,614 - mmdet - INFO - Epoch [1][500/7330] lr: 9.980e-05, eta: 1 day, 18:56:52, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.1110, loss_rpn_bbox: 0.0702, loss_cls: 0.4109, acc: 91.9474, loss_bbox: 0.2949, loss_mask: 0.5138, loss: 1.4008 +2022-09-21 20:25:29,312 - mmdet - INFO - Epoch [1][550/7330] lr: 1.000e-04, eta: 1 day, 17:54:58, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.1046, loss_rpn_bbox: 0.0726, loss_cls: 0.4127, acc: 91.4411, loss_bbox: 0.3141, loss_mask: 0.4980, loss: 1.4020 +2022-09-21 20:25:51,032 - mmdet - INFO - Epoch [1][600/7330] lr: 1.000e-04, eta: 1 day, 17:04:06, time: 0.435, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.1038, loss_rpn_bbox: 0.0743, loss_cls: 0.4014, acc: 91.3573, loss_bbox: 0.3134, loss_mask: 0.4844, loss: 1.3773 +2022-09-21 20:26:12,753 - mmdet - INFO - Epoch [1][650/7330] lr: 1.000e-04, eta: 1 day, 16:20:42, time: 0.434, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.1004, loss_rpn_bbox: 0.0695, loss_cls: 0.3888, acc: 91.1653, loss_bbox: 0.3116, loss_mask: 0.4647, loss: 1.3351 +2022-09-21 20:26:34,270 - mmdet - INFO - Epoch [1][700/7330] lr: 1.000e-04, eta: 1 day, 15:42:13, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0922, loss_rpn_bbox: 0.0674, loss_cls: 0.3683, acc: 91.2545, loss_bbox: 0.3157, loss_mask: 0.4563, loss: 1.2999 +2022-09-21 20:26:55,983 - mmdet - INFO - Epoch [1][750/7330] lr: 1.000e-04, eta: 1 day, 15:09:55, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0885, loss_rpn_bbox: 0.0673, loss_cls: 0.3463, acc: 91.6178, loss_bbox: 0.3014, loss_mask: 0.4428, loss: 1.2463 +2022-09-21 20:27:17,921 - mmdet - INFO - Epoch [1][800/7330] lr: 1.000e-04, eta: 1 day, 14:42:53, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0919, loss_rpn_bbox: 0.0695, loss_cls: 0.3523, acc: 91.1827, loss_bbox: 0.3201, loss_mask: 0.4450, loss: 1.2788 +2022-09-21 20:27:40,084 - mmdet - INFO - Epoch [1][850/7330] lr: 1.000e-04, eta: 1 day, 14:20:02, time: 0.443, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0880, loss_rpn_bbox: 0.0687, loss_cls: 0.3364, acc: 91.2039, loss_bbox: 0.3135, loss_mask: 0.4290, loss: 1.2355 +2022-09-21 20:28:01,352 - mmdet - INFO - Epoch [1][900/7330] lr: 1.000e-04, eta: 1 day, 13:55:26, time: 0.425, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0792, loss_rpn_bbox: 0.0615, loss_cls: 0.3282, acc: 91.5435, loss_bbox: 0.3028, loss_mask: 0.4121, loss: 1.1839 +2022-09-21 20:28:23,270 - mmdet - INFO - Epoch [1][950/7330] lr: 1.000e-04, eta: 1 day, 13:36:26, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0822, loss_rpn_bbox: 0.0646, loss_cls: 0.3312, acc: 91.2313, loss_bbox: 0.3149, loss_mask: 0.4106, loss: 1.2035 +2022-09-21 20:28:45,099 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 20:28:45,099 - mmdet - INFO - Epoch [1][1000/7330] lr: 1.000e-04, eta: 1 day, 13:18:46, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0796, loss_rpn_bbox: 0.0627, loss_cls: 0.3065, acc: 91.5872, loss_bbox: 0.3068, loss_mask: 0.4040, loss: 1.1596 +2022-09-21 20:29:07,108 - mmdet - INFO - Epoch [1][1050/7330] lr: 1.000e-04, eta: 1 day, 13:03:39, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0807, loss_rpn_bbox: 0.0685, loss_cls: 0.3457, acc: 90.5945, loss_bbox: 0.3303, loss_mask: 0.4066, loss: 1.2319 +2022-09-21 20:29:28,432 - mmdet - INFO - Epoch [1][1100/7330] lr: 1.000e-04, eta: 1 day, 12:47:04, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0756, loss_rpn_bbox: 0.0616, loss_cls: 0.3207, acc: 91.0574, loss_bbox: 0.3156, loss_mask: 0.3979, loss: 1.1714 +2022-09-21 20:29:50,538 - mmdet - INFO - Epoch [1][1150/7330] lr: 1.000e-04, eta: 1 day, 12:34:53, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0803, loss_rpn_bbox: 0.0649, loss_cls: 0.3129, acc: 91.2224, loss_bbox: 0.3129, loss_mask: 0.4000, loss: 1.1711 +2022-09-21 20:30:12,769 - mmdet - INFO - Epoch [1][1200/7330] lr: 1.000e-04, eta: 1 day, 12:24:07, time: 0.445, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0783, loss_rpn_bbox: 0.0693, loss_cls: 0.3337, acc: 90.6423, loss_bbox: 0.3335, loss_mask: 0.4020, loss: 1.2168 +2022-09-21 20:30:34,399 - mmdet - INFO - Epoch [1][1250/7330] lr: 1.000e-04, eta: 1 day, 12:12:06, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0747, loss_rpn_bbox: 0.0630, loss_cls: 0.3106, acc: 91.2998, loss_bbox: 0.3042, loss_mask: 0.3861, loss: 1.1387 +2022-09-21 20:30:56,077 - mmdet - INFO - Epoch [1][1300/7330] lr: 1.000e-04, eta: 1 day, 12:01:07, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0759, loss_rpn_bbox: 0.0617, loss_cls: 0.3184, acc: 90.8057, loss_bbox: 0.3276, loss_mask: 0.3893, loss: 1.1729 +2022-09-21 20:31:17,541 - mmdet - INFO - Epoch [1][1350/7330] lr: 1.000e-04, eta: 1 day, 11:50:07, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0723, loss_rpn_bbox: 0.0630, loss_cls: 0.3026, acc: 91.2957, loss_bbox: 0.3074, loss_mask: 0.3852, loss: 1.1305 +2022-09-21 20:31:39,093 - mmdet - INFO - Epoch [1][1400/7330] lr: 1.000e-04, eta: 1 day, 11:40:25, time: 0.432, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0735, loss_rpn_bbox: 0.0637, loss_cls: 0.3232, acc: 90.6673, loss_bbox: 0.3278, loss_mask: 0.3794, loss: 1.1676 +2022-09-21 20:32:00,491 - mmdet - INFO - Epoch [1][1450/7330] lr: 1.000e-04, eta: 1 day, 11:30:46, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0703, loss_rpn_bbox: 0.0605, loss_cls: 0.3024, acc: 91.2812, loss_bbox: 0.3132, loss_mask: 0.3823, loss: 1.1286 +2022-09-21 20:32:21,996 - mmdet - INFO - Epoch [1][1500/7330] lr: 1.000e-04, eta: 1 day, 11:22:02, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0688, loss_rpn_bbox: 0.0593, loss_cls: 0.3028, acc: 91.1792, loss_bbox: 0.3167, loss_mask: 0.3725, loss: 1.1201 +2022-09-21 20:32:43,666 - mmdet - INFO - Epoch [1][1550/7330] lr: 1.000e-04, eta: 1 day, 11:14:19, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0703, loss_rpn_bbox: 0.0608, loss_cls: 0.3183, acc: 90.4530, loss_bbox: 0.3333, loss_mask: 0.3787, loss: 1.1614 +2022-09-21 20:33:05,073 - mmdet - INFO - Epoch [1][1600/7330] lr: 1.000e-04, eta: 1 day, 11:06:19, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0659, loss_rpn_bbox: 0.0579, loss_cls: 0.3048, acc: 91.0870, loss_bbox: 0.3165, loss_mask: 0.3667, loss: 1.1118 +2022-09-21 20:33:26,671 - mmdet - INFO - Epoch [1][1650/7330] lr: 1.000e-04, eta: 1 day, 10:59:19, time: 0.432, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0696, loss_rpn_bbox: 0.0613, loss_cls: 0.3094, acc: 90.8118, loss_bbox: 0.3292, loss_mask: 0.3689, loss: 1.1385 +2022-09-21 20:33:48,095 - mmdet - INFO - Epoch [1][1700/7330] lr: 1.000e-04, eta: 1 day, 10:52:15, time: 0.429, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0672, loss_rpn_bbox: 0.0603, loss_cls: 0.3026, acc: 90.8143, loss_bbox: 0.3248, loss_mask: 0.3661, loss: 1.1210 +2022-09-21 20:34:10,639 - mmdet - INFO - Epoch [1][1750/7330] lr: 1.000e-04, eta: 1 day, 10:48:22, time: 0.451, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0761, loss_rpn_bbox: 0.0621, loss_cls: 0.3103, acc: 90.6799, loss_bbox: 0.3284, loss_mask: 0.3653, loss: 1.1422 +2022-09-21 20:34:32,079 - mmdet - INFO - Epoch [1][1800/7330] lr: 1.000e-04, eta: 1 day, 10:41:59, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0647, loss_rpn_bbox: 0.0577, loss_cls: 0.3072, acc: 90.7795, loss_bbox: 0.3257, loss_mask: 0.3604, loss: 1.1156 +2022-09-21 20:34:53,521 - mmdet - INFO - Epoch [1][1850/7330] lr: 1.000e-04, eta: 1 day, 10:35:58, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0636, loss_rpn_bbox: 0.0567, loss_cls: 0.2996, acc: 91.0485, loss_bbox: 0.3205, loss_mask: 0.3527, loss: 1.0931 +2022-09-21 20:35:15,325 - mmdet - INFO - Epoch [1][1900/7330] lr: 1.000e-04, eta: 1 day, 10:31:01, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0707, loss_rpn_bbox: 0.0636, loss_cls: 0.3136, acc: 90.5362, loss_bbox: 0.3329, loss_mask: 0.3587, loss: 1.1395 +2022-09-21 20:35:37,066 - mmdet - INFO - Epoch [1][1950/7330] lr: 1.000e-04, eta: 1 day, 10:26:11, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0645, loss_rpn_bbox: 0.0570, loss_cls: 0.2917, acc: 91.1570, loss_bbox: 0.3153, loss_mask: 0.3508, loss: 1.0793 +2022-09-21 20:35:58,824 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 20:35:58,825 - mmdet - INFO - Epoch [1][2000/7330] lr: 1.000e-04, eta: 1 day, 10:21:41, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0680, loss_rpn_bbox: 0.0637, loss_cls: 0.3025, acc: 90.7065, loss_bbox: 0.3256, loss_mask: 0.3554, loss: 1.1151 +2022-09-21 20:36:20,806 - mmdet - INFO - Epoch [1][2050/7330] lr: 1.000e-04, eta: 1 day, 10:17:48, time: 0.440, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0640, loss_rpn_bbox: 0.0577, loss_cls: 0.2874, acc: 91.2068, loss_bbox: 0.3125, loss_mask: 0.3409, loss: 1.0624 +2022-09-21 20:36:42,552 - mmdet - INFO - Epoch [1][2100/7330] lr: 1.000e-04, eta: 1 day, 10:13:36, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0648, loss_rpn_bbox: 0.0585, loss_cls: 0.2910, acc: 91.1313, loss_bbox: 0.3172, loss_mask: 0.3410, loss: 1.0726 +2022-09-21 20:37:04,170 - mmdet - INFO - Epoch [1][2150/7330] lr: 1.000e-04, eta: 1 day, 10:09:19, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0574, loss_cls: 0.2857, acc: 91.2263, loss_bbox: 0.3076, loss_mask: 0.3485, loss: 1.0618 +2022-09-21 20:37:25,650 - mmdet - INFO - Epoch [1][2200/7330] lr: 1.000e-04, eta: 1 day, 10:04:56, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0625, loss_rpn_bbox: 0.0576, loss_cls: 0.3002, acc: 90.9175, loss_bbox: 0.3221, loss_mask: 0.3489, loss: 1.0914 +2022-09-21 20:37:47,121 - mmdet - INFO - Epoch [1][2250/7330] lr: 1.000e-04, eta: 1 day, 10:00:44, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0630, loss_rpn_bbox: 0.0558, loss_cls: 0.2923, acc: 91.1694, loss_bbox: 0.3099, loss_mask: 0.3438, loss: 1.0648 +2022-09-21 20:38:08,364 - mmdet - INFO - Epoch [1][2300/7330] lr: 1.000e-04, eta: 1 day, 9:56:15, time: 0.425, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0640, loss_rpn_bbox: 0.0566, loss_cls: 0.2971, acc: 90.7942, loss_bbox: 0.3178, loss_mask: 0.3488, loss: 1.0842 +2022-09-21 20:38:30,486 - mmdet - INFO - Epoch [1][2350/7330] lr: 1.000e-04, eta: 1 day, 9:53:34, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0619, loss_rpn_bbox: 0.0557, loss_cls: 0.2909, acc: 90.9814, loss_bbox: 0.3130, loss_mask: 0.3357, loss: 1.0572 +2022-09-21 20:38:52,065 - mmdet - INFO - Epoch [1][2400/7330] lr: 1.000e-04, eta: 1 day, 9:49:56, time: 0.431, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0546, loss_cls: 0.2933, acc: 90.9604, loss_bbox: 0.3193, loss_mask: 0.3449, loss: 1.0696 +2022-09-21 20:39:13,964 - mmdet - INFO - Epoch [1][2450/7330] lr: 1.000e-04, eta: 1 day, 9:47:09, time: 0.439, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0530, loss_cls: 0.2978, acc: 90.8779, loss_bbox: 0.3161, loss_mask: 0.3394, loss: 1.0673 +2022-09-21 20:39:35,898 - mmdet - INFO - Epoch [1][2500/7330] lr: 1.000e-04, eta: 1 day, 9:44:26, time: 0.439, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0560, loss_cls: 0.2993, acc: 90.6609, loss_bbox: 0.3253, loss_mask: 0.3412, loss: 1.0788 +2022-09-21 20:39:57,613 - mmdet - INFO - Epoch [1][2550/7330] lr: 1.000e-04, eta: 1 day, 9:41:27, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0609, loss_rpn_bbox: 0.0533, loss_cls: 0.2735, acc: 91.5000, loss_bbox: 0.3008, loss_mask: 0.3338, loss: 1.0223 +2022-09-21 20:40:19,298 - mmdet - INFO - Epoch [1][2600/7330] lr: 1.000e-04, eta: 1 day, 9:38:30, time: 0.433, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0611, loss_rpn_bbox: 0.0554, loss_cls: 0.2974, acc: 90.8405, loss_bbox: 0.3200, loss_mask: 0.3441, loss: 1.0781 +2022-09-21 20:40:41,107 - mmdet - INFO - Epoch [1][2650/7330] lr: 1.000e-04, eta: 1 day, 9:35:51, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0530, loss_cls: 0.2917, acc: 90.9653, loss_bbox: 0.3152, loss_mask: 0.3295, loss: 1.0484 +2022-09-21 20:41:02,734 - mmdet - INFO - Epoch [1][2700/7330] lr: 1.000e-04, eta: 1 day, 9:33:03, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0607, loss_rpn_bbox: 0.0535, loss_cls: 0.2830, acc: 91.3467, loss_bbox: 0.3048, loss_mask: 0.3319, loss: 1.0339 +2022-09-21 20:41:24,945 - mmdet - INFO - Epoch [1][2750/7330] lr: 1.000e-04, eta: 1 day, 9:31:11, time: 0.444, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0596, loss_rpn_bbox: 0.0531, loss_cls: 0.2765, acc: 91.4878, loss_bbox: 0.3033, loss_mask: 0.3313, loss: 1.0239 +2022-09-21 20:41:46,451 - mmdet - INFO - Epoch [1][2800/7330] lr: 1.000e-04, eta: 1 day, 9:28:20, time: 0.430, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0622, loss_rpn_bbox: 0.0562, loss_cls: 0.2859, acc: 90.8946, loss_bbox: 0.3265, loss_mask: 0.3322, loss: 1.0631 +2022-09-21 20:42:08,118 - mmdet - INFO - Epoch [1][2850/7330] lr: 1.000e-04, eta: 1 day, 9:25:48, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0583, loss_rpn_bbox: 0.0538, loss_cls: 0.2871, acc: 91.1038, loss_bbox: 0.3167, loss_mask: 0.3299, loss: 1.0458 +2022-09-21 20:42:29,493 - mmdet - INFO - Epoch [1][2900/7330] lr: 1.000e-04, eta: 1 day, 9:22:54, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0570, loss_rpn_bbox: 0.0536, loss_cls: 0.2875, acc: 91.1159, loss_bbox: 0.3116, loss_mask: 0.3285, loss: 1.0382 +2022-09-21 20:42:51,172 - mmdet - INFO - Epoch [1][2950/7330] lr: 1.000e-04, eta: 1 day, 9:20:32, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0528, loss_cls: 0.2896, acc: 91.1882, loss_bbox: 0.3086, loss_mask: 0.3308, loss: 1.0434 +2022-09-21 20:43:12,986 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 20:43:12,988 - mmdet - INFO - Epoch [1][3000/7330] lr: 1.000e-04, eta: 1 day, 9:18:26, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0593, loss_rpn_bbox: 0.0557, loss_cls: 0.2839, acc: 90.9733, loss_bbox: 0.3178, loss_mask: 0.3261, loss: 1.0428 +2022-09-21 20:43:34,635 - mmdet - INFO - Epoch [1][3050/7330] lr: 1.000e-04, eta: 1 day, 9:16:09, time: 0.433, data_time: 0.012, memory: 30699, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0534, loss_cls: 0.2776, acc: 91.3005, loss_bbox: 0.3076, loss_mask: 0.3275, loss: 1.0225 +2022-09-21 20:43:56,136 - mmdet - INFO - Epoch [1][3100/7330] lr: 1.000e-04, eta: 1 day, 9:13:43, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0525, loss_cls: 0.2707, acc: 91.0515, loss_bbox: 0.3192, loss_mask: 0.3209, loss: 1.0168 +2022-09-21 20:44:18,234 - mmdet - INFO - Epoch [1][3150/7330] lr: 1.000e-04, eta: 1 day, 9:12:11, time: 0.442, data_time: 0.022, memory: 30699, loss_rpn_cls: 0.0615, loss_rpn_bbox: 0.0574, loss_cls: 0.2810, acc: 91.1372, loss_bbox: 0.3183, loss_mask: 0.3351, loss: 1.0533 +2022-09-21 20:44:40,033 - mmdet - INFO - Epoch [1][3200/7330] lr: 1.000e-04, eta: 1 day, 9:10:17, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0595, loss_rpn_bbox: 0.0548, loss_cls: 0.2895, acc: 90.8484, loss_bbox: 0.3242, loss_mask: 0.3279, loss: 1.0559 +2022-09-21 20:45:01,813 - mmdet - INFO - Epoch [1][3250/7330] lr: 1.000e-04, eta: 1 day, 9:08:22, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0548, loss_rpn_bbox: 0.0514, loss_cls: 0.2798, acc: 91.1758, loss_bbox: 0.3079, loss_mask: 0.3259, loss: 1.0197 +2022-09-21 20:45:23,319 - mmdet - INFO - Epoch [1][3300/7330] lr: 1.000e-04, eta: 1 day, 9:06:11, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0556, loss_rpn_bbox: 0.0532, loss_cls: 0.2870, acc: 91.0513, loss_bbox: 0.3112, loss_mask: 0.3220, loss: 1.0289 +2022-09-21 20:45:44,980 - mmdet - INFO - Epoch [1][3350/7330] lr: 1.000e-04, eta: 1 day, 9:04:14, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0545, loss_rpn_bbox: 0.0511, loss_cls: 0.2892, acc: 90.9402, loss_bbox: 0.3143, loss_mask: 0.3283, loss: 1.0374 +2022-09-21 20:46:06,536 - mmdet - INFO - Epoch [1][3400/7330] lr: 1.000e-04, eta: 1 day, 9:02:13, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0550, loss_rpn_bbox: 0.0542, loss_cls: 0.2888, acc: 90.9280, loss_bbox: 0.3178, loss_mask: 0.3296, loss: 1.0453 +2022-09-21 20:46:27,881 - mmdet - INFO - Epoch [1][3450/7330] lr: 1.000e-04, eta: 1 day, 8:59:58, time: 0.427, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0505, loss_cls: 0.2695, acc: 91.4651, loss_bbox: 0.2982, loss_mask: 0.3242, loss: 0.9977 +2022-09-21 20:46:49,434 - mmdet - INFO - Epoch [1][3500/7330] lr: 1.000e-04, eta: 1 day, 8:58:02, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0582, loss_rpn_bbox: 0.0541, loss_cls: 0.2800, acc: 91.1169, loss_bbox: 0.3142, loss_mask: 0.3310, loss: 1.0375 +2022-09-21 20:47:10,951 - mmdet - INFO - Epoch [1][3550/7330] lr: 1.000e-04, eta: 1 day, 8:56:05, time: 0.430, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0568, loss_rpn_bbox: 0.0541, loss_cls: 0.2812, acc: 91.2751, loss_bbox: 0.3050, loss_mask: 0.3223, loss: 1.0194 +2022-09-21 20:47:32,669 - mmdet - INFO - Epoch [1][3600/7330] lr: 1.000e-04, eta: 1 day, 8:54:25, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0592, loss_rpn_bbox: 0.0544, loss_cls: 0.2757, acc: 91.4138, loss_bbox: 0.3058, loss_mask: 0.3169, loss: 1.0120 +2022-09-21 20:47:54,341 - mmdet - INFO - Epoch [1][3650/7330] lr: 1.000e-04, eta: 1 day, 8:52:43, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0541, loss_cls: 0.2690, acc: 91.5095, loss_bbox: 0.3006, loss_mask: 0.3246, loss: 1.0058 +2022-09-21 20:48:16,174 - mmdet - INFO - Epoch [1][3700/7330] lr: 1.000e-04, eta: 1 day, 8:51:20, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0506, loss_cls: 0.2751, acc: 91.3308, loss_bbox: 0.3054, loss_mask: 0.3252, loss: 1.0084 +2022-09-21 20:48:38,124 - mmdet - INFO - Epoch [1][3750/7330] lr: 1.000e-04, eta: 1 day, 8:50:03, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0544, loss_cls: 0.2865, acc: 90.9802, loss_bbox: 0.3088, loss_mask: 0.3247, loss: 1.0320 +2022-09-21 20:49:00,007 - mmdet - INFO - Epoch [1][3800/7330] lr: 1.000e-04, eta: 1 day, 8:48:43, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0552, loss_rpn_bbox: 0.0540, loss_cls: 0.2913, acc: 90.7351, loss_bbox: 0.3191, loss_mask: 0.3213, loss: 1.0409 +2022-09-21 20:49:22,076 - mmdet - INFO - Epoch [1][3850/7330] lr: 1.000e-04, eta: 1 day, 8:47:36, time: 0.441, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0509, loss_cls: 0.2798, acc: 91.0171, loss_bbox: 0.3195, loss_mask: 0.3177, loss: 1.0206 +2022-09-21 20:49:43,485 - mmdet - INFO - Epoch [1][3900/7330] lr: 1.000e-04, eta: 1 day, 8:45:48, time: 0.428, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0500, loss_cls: 0.2713, acc: 91.2539, loss_bbox: 0.3100, loss_mask: 0.3054, loss: 0.9899 +2022-09-21 20:50:05,119 - mmdet - INFO - Epoch [1][3950/7330] lr: 1.000e-04, eta: 1 day, 8:44:16, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0591, loss_rpn_bbox: 0.0542, loss_cls: 0.2727, acc: 91.0974, loss_bbox: 0.3126, loss_mask: 0.3147, loss: 1.0133 +2022-09-21 20:50:26,723 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 20:50:26,723 - mmdet - INFO - Epoch [1][4000/7330] lr: 1.000e-04, eta: 1 day, 8:42:43, time: 0.432, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0573, loss_rpn_bbox: 0.0539, loss_cls: 0.2657, acc: 91.3929, loss_bbox: 0.3087, loss_mask: 0.3169, loss: 1.0024 +2022-09-21 20:50:48,235 - mmdet - INFO - Epoch [1][4050/7330] lr: 1.000e-04, eta: 1 day, 8:41:08, time: 0.431, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0477, loss_cls: 0.2716, acc: 91.5278, loss_bbox: 0.2973, loss_mask: 0.3147, loss: 0.9814 +2022-09-21 20:51:10,429 - mmdet - INFO - Epoch [1][4100/7330] lr: 1.000e-04, eta: 1 day, 8:40:16, time: 0.444, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0560, loss_rpn_bbox: 0.0549, loss_cls: 0.2916, acc: 90.7751, loss_bbox: 0.3281, loss_mask: 0.3198, loss: 1.0505 +2022-09-21 20:51:32,216 - mmdet - INFO - Epoch [1][4150/7330] lr: 1.000e-04, eta: 1 day, 8:39:01, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0518, loss_rpn_bbox: 0.0553, loss_cls: 0.2715, acc: 91.2939, loss_bbox: 0.3079, loss_mask: 0.3170, loss: 1.0035 +2022-09-21 20:51:53,962 - mmdet - INFO - Epoch [1][4200/7330] lr: 1.000e-04, eta: 1 day, 8:37:44, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0502, loss_cls: 0.2709, acc: 91.3853, loss_bbox: 0.3022, loss_mask: 0.3097, loss: 0.9854 +2022-09-21 20:52:15,347 - mmdet - INFO - Epoch [1][4250/7330] lr: 1.000e-04, eta: 1 day, 8:36:03, time: 0.427, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0500, loss_cls: 0.2700, acc: 91.4888, loss_bbox: 0.2985, loss_mask: 0.3139, loss: 0.9894 +2022-09-21 20:52:36,622 - mmdet - INFO - Epoch [1][4300/7330] lr: 1.000e-04, eta: 1 day, 8:34:23, time: 0.426, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0489, loss_cls: 0.2669, acc: 91.5160, loss_bbox: 0.3055, loss_mask: 0.3089, loss: 0.9804 +2022-09-21 20:52:58,367 - mmdet - INFO - Epoch [1][4350/7330] lr: 1.000e-04, eta: 1 day, 8:33:10, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0508, loss_cls: 0.2720, acc: 91.2529, loss_bbox: 0.3104, loss_mask: 0.3116, loss: 0.9967 +2022-09-21 20:53:20,134 - mmdet - INFO - Epoch [1][4400/7330] lr: 1.000e-04, eta: 1 day, 8:31:59, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0503, loss_cls: 0.2785, acc: 91.2104, loss_bbox: 0.3144, loss_mask: 0.3095, loss: 1.0080 +2022-09-21 20:53:41,526 - mmdet - INFO - Epoch [1][4450/7330] lr: 1.000e-04, eta: 1 day, 8:30:29, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0553, loss_rpn_bbox: 0.0503, loss_cls: 0.2708, acc: 91.3271, loss_bbox: 0.3018, loss_mask: 0.3061, loss: 0.9843 +2022-09-21 20:54:02,657 - mmdet - INFO - Epoch [1][4500/7330] lr: 1.000e-04, eta: 1 day, 8:28:44, time: 0.423, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0503, loss_rpn_bbox: 0.0490, loss_cls: 0.2729, acc: 91.3057, loss_bbox: 0.3087, loss_mask: 0.3123, loss: 0.9933 +2022-09-21 20:54:23,970 - mmdet - INFO - Epoch [1][4550/7330] lr: 1.000e-04, eta: 1 day, 8:27:10, time: 0.426, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0569, loss_rpn_bbox: 0.0509, loss_cls: 0.2763, acc: 91.2312, loss_bbox: 0.3047, loss_mask: 0.3003, loss: 0.9892 +2022-09-21 20:54:45,303 - mmdet - INFO - Epoch [1][4600/7330] lr: 1.000e-04, eta: 1 day, 8:25:42, time: 0.427, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0519, loss_cls: 0.2718, acc: 91.3823, loss_bbox: 0.3013, loss_mask: 0.3051, loss: 0.9839 +2022-09-21 20:55:06,830 - mmdet - INFO - Epoch [1][4650/7330] lr: 1.000e-04, eta: 1 day, 8:24:24, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0511, loss_cls: 0.2731, acc: 91.1367, loss_bbox: 0.3061, loss_mask: 0.3065, loss: 0.9943 +2022-09-21 20:55:28,386 - mmdet - INFO - Epoch [1][4700/7330] lr: 1.000e-04, eta: 1 day, 8:23:09, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0507, loss_cls: 0.2619, acc: 91.5142, loss_bbox: 0.2995, loss_mask: 0.3069, loss: 0.9752 +2022-09-21 20:55:49,892 - mmdet - INFO - Epoch [1][4750/7330] lr: 1.000e-04, eta: 1 day, 8:21:53, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0490, loss_cls: 0.2631, acc: 91.6051, loss_bbox: 0.2967, loss_mask: 0.3090, loss: 0.9693 +2022-09-21 20:56:11,369 - mmdet - INFO - Epoch [1][4800/7330] lr: 1.000e-04, eta: 1 day, 8:20:37, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0494, loss_cls: 0.2620, acc: 91.3818, loss_bbox: 0.3036, loss_mask: 0.3047, loss: 0.9729 +2022-09-21 20:56:32,644 - mmdet - INFO - Epoch [1][4850/7330] lr: 1.000e-04, eta: 1 day, 8:19:10, time: 0.425, data_time: 0.012, memory: 30699, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0518, loss_cls: 0.2598, acc: 91.7996, loss_bbox: 0.2917, loss_mask: 0.3116, loss: 0.9673 +2022-09-21 20:56:54,024 - mmdet - INFO - Epoch [1][4900/7330] lr: 1.000e-04, eta: 1 day, 8:17:50, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0526, loss_cls: 0.2714, acc: 91.4421, loss_bbox: 0.2988, loss_mask: 0.3084, loss: 0.9896 +2022-09-21 20:57:15,936 - mmdet - INFO - Epoch [1][4950/7330] lr: 1.000e-04, eta: 1 day, 8:17:00, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0490, loss_cls: 0.2577, acc: 91.6775, loss_bbox: 0.2947, loss_mask: 0.3013, loss: 0.9519 +2022-09-21 20:57:37,368 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 20:57:37,369 - mmdet - INFO - Epoch [1][5000/7330] lr: 1.000e-04, eta: 1 day, 8:15:45, time: 0.429, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0495, loss_cls: 0.2690, acc: 91.5383, loss_bbox: 0.3003, loss_mask: 0.2999, loss: 0.9689 +2022-09-21 20:57:58,546 - mmdet - INFO - Epoch [1][5050/7330] lr: 1.000e-04, eta: 1 day, 8:14:19, time: 0.424, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0490, loss_cls: 0.2663, acc: 91.3357, loss_bbox: 0.3020, loss_mask: 0.3002, loss: 0.9684 +2022-09-21 20:58:20,084 - mmdet - INFO - Epoch [1][5100/7330] lr: 1.000e-04, eta: 1 day, 8:13:10, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0502, loss_rpn_bbox: 0.0503, loss_cls: 0.2609, acc: 91.6614, loss_bbox: 0.2938, loss_mask: 0.3028, loss: 0.9579 +2022-09-21 20:58:41,765 - mmdet - INFO - Epoch [1][5150/7330] lr: 1.000e-04, eta: 1 day, 8:12:11, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0514, loss_rpn_bbox: 0.0497, loss_cls: 0.2770, acc: 90.9929, loss_bbox: 0.3187, loss_mask: 0.3063, loss: 1.0031 +2022-09-21 20:59:03,506 - mmdet - INFO - Epoch [1][5200/7330] lr: 1.000e-04, eta: 1 day, 8:11:17, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0500, loss_cls: 0.2518, acc: 91.7913, loss_bbox: 0.2967, loss_mask: 0.2998, loss: 0.9490 +2022-09-21 20:59:25,320 - mmdet - INFO - Epoch [1][5250/7330] lr: 1.000e-04, eta: 1 day, 8:10:26, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0504, loss_cls: 0.2674, acc: 91.3755, loss_bbox: 0.3021, loss_mask: 0.3093, loss: 0.9802 +2022-09-21 20:59:46,876 - mmdet - INFO - Epoch [1][5300/7330] lr: 1.000e-04, eta: 1 day, 8:09:22, time: 0.431, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0484, loss_cls: 0.2549, acc: 91.6038, loss_bbox: 0.2918, loss_mask: 0.2967, loss: 0.9394 +2022-09-21 21:00:08,500 - mmdet - INFO - Epoch [1][5350/7330] lr: 1.000e-04, eta: 1 day, 8:08:23, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0488, loss_rpn_bbox: 0.0480, loss_cls: 0.2518, acc: 91.8335, loss_bbox: 0.2958, loss_mask: 0.2880, loss: 0.9324 +2022-09-21 21:00:29,786 - mmdet - INFO - Epoch [1][5400/7330] lr: 1.000e-04, eta: 1 day, 8:07:09, time: 0.426, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0494, loss_cls: 0.2613, acc: 91.6191, loss_bbox: 0.3012, loss_mask: 0.3040, loss: 0.9649 +2022-09-21 21:00:51,457 - mmdet - INFO - Epoch [1][5450/7330] lr: 1.000e-04, eta: 1 day, 8:06:13, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0513, loss_rpn_bbox: 0.0520, loss_cls: 0.2599, acc: 91.4011, loss_bbox: 0.3063, loss_mask: 0.3009, loss: 0.9705 +2022-09-21 21:01:13,390 - mmdet - INFO - Epoch [1][5500/7330] lr: 1.000e-04, eta: 1 day, 8:05:31, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0535, loss_rpn_bbox: 0.0510, loss_cls: 0.2687, acc: 91.2756, loss_bbox: 0.3049, loss_mask: 0.3074, loss: 0.9855 +2022-09-21 21:01:34,804 - mmdet - INFO - Epoch [1][5550/7330] lr: 1.000e-04, eta: 1 day, 8:04:24, time: 0.428, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0525, loss_rpn_bbox: 0.0529, loss_cls: 0.2710, acc: 91.2036, loss_bbox: 0.3088, loss_mask: 0.3077, loss: 0.9930 +2022-09-21 21:01:56,207 - mmdet - INFO - Epoch [1][5600/7330] lr: 1.000e-04, eta: 1 day, 8:03:19, time: 0.428, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0493, loss_cls: 0.2568, acc: 91.6741, loss_bbox: 0.2920, loss_mask: 0.3018, loss: 0.9493 +2022-09-21 21:02:18,129 - mmdet - INFO - Epoch [1][5650/7330] lr: 1.000e-04, eta: 1 day, 8:02:37, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0520, loss_cls: 0.2713, acc: 91.2639, loss_bbox: 0.3039, loss_mask: 0.3065, loss: 0.9836 +2022-09-21 21:02:39,820 - mmdet - INFO - Epoch [1][5700/7330] lr: 1.000e-04, eta: 1 day, 8:01:45, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0478, loss_cls: 0.2637, acc: 91.5288, loss_bbox: 0.2975, loss_mask: 0.2994, loss: 0.9568 +2022-09-21 21:03:01,310 - mmdet - INFO - Epoch [1][5750/7330] lr: 1.000e-04, eta: 1 day, 8:00:43, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0499, loss_cls: 0.2601, acc: 91.6648, loss_bbox: 0.2932, loss_mask: 0.2991, loss: 0.9539 +2022-09-21 21:03:22,914 - mmdet - INFO - Epoch [1][5800/7330] lr: 1.000e-04, eta: 1 day, 7:59:50, time: 0.433, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0516, loss_rpn_bbox: 0.0473, loss_cls: 0.2593, acc: 91.6077, loss_bbox: 0.2930, loss_mask: 0.3052, loss: 0.9565 +2022-09-21 21:03:43,904 - mmdet - INFO - Epoch [1][5850/7330] lr: 1.000e-04, eta: 1 day, 7:58:30, time: 0.420, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0473, loss_cls: 0.2500, acc: 92.0178, loss_bbox: 0.2811, loss_mask: 0.2969, loss: 0.9250 +2022-09-21 21:04:05,329 - mmdet - INFO - Epoch [1][5900/7330] lr: 1.000e-04, eta: 1 day, 7:57:29, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0484, loss_cls: 0.2644, acc: 91.5615, loss_bbox: 0.2965, loss_mask: 0.2998, loss: 0.9599 +2022-09-21 21:04:26,839 - mmdet - INFO - Epoch [1][5950/7330] lr: 1.000e-04, eta: 1 day, 7:56:33, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0487, loss_cls: 0.2764, acc: 91.2529, loss_bbox: 0.3069, loss_mask: 0.3047, loss: 0.9847 +2022-09-21 21:04:48,260 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 21:04:48,261 - mmdet - INFO - Epoch [1][6000/7330] lr: 1.000e-04, eta: 1 day, 7:55:33, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0482, loss_cls: 0.2635, acc: 91.4966, loss_bbox: 0.2918, loss_mask: 0.2982, loss: 0.9509 +2022-09-21 21:05:09,773 - mmdet - INFO - Epoch [1][6050/7330] lr: 1.000e-04, eta: 1 day, 7:54:37, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0476, loss_cls: 0.2705, acc: 91.3787, loss_bbox: 0.2968, loss_mask: 0.2948, loss: 0.9591 +2022-09-21 21:05:31,175 - mmdet - INFO - Epoch [1][6100/7330] lr: 1.000e-04, eta: 1 day, 7:53:39, time: 0.428, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0484, loss_cls: 0.2570, acc: 91.7253, loss_bbox: 0.2942, loss_mask: 0.2983, loss: 0.9471 +2022-09-21 21:05:52,705 - mmdet - INFO - Epoch [1][6150/7330] lr: 1.000e-04, eta: 1 day, 7:52:45, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0466, loss_cls: 0.2552, acc: 91.6482, loss_bbox: 0.2889, loss_mask: 0.2970, loss: 0.9335 +2022-09-21 21:06:14,732 - mmdet - INFO - Epoch [1][6200/7330] lr: 1.000e-04, eta: 1 day, 7:52:13, time: 0.441, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0496, loss_cls: 0.2673, acc: 91.4143, loss_bbox: 0.2999, loss_mask: 0.3023, loss: 0.9683 +2022-09-21 21:06:36,047 - mmdet - INFO - Epoch [1][6250/7330] lr: 1.000e-04, eta: 1 day, 7:51:12, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0476, loss_cls: 0.2642, acc: 91.5869, loss_bbox: 0.2978, loss_mask: 0.3016, loss: 0.9603 +2022-09-21 21:06:57,584 - mmdet - INFO - Epoch [1][6300/7330] lr: 1.000e-04, eta: 1 day, 7:50:20, time: 0.431, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0504, loss_cls: 0.2642, acc: 91.5535, loss_bbox: 0.2989, loss_mask: 0.2961, loss: 0.9623 +2022-09-21 21:07:19,022 - mmdet - INFO - Epoch [1][6350/7330] lr: 1.000e-04, eta: 1 day, 7:49:25, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0464, loss_cls: 0.2646, acc: 91.4817, loss_bbox: 0.2980, loss_mask: 0.2958, loss: 0.9494 +2022-09-21 21:07:40,864 - mmdet - INFO - Epoch [1][6400/7330] lr: 1.000e-04, eta: 1 day, 7:48:47, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0483, loss_rpn_bbox: 0.0514, loss_cls: 0.2726, acc: 91.2241, loss_bbox: 0.3109, loss_mask: 0.3067, loss: 0.9899 +2022-09-21 21:08:02,241 - mmdet - INFO - Epoch [1][6450/7330] lr: 1.000e-04, eta: 1 day, 7:47:49, time: 0.427, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0460, loss_cls: 0.2536, acc: 91.8274, loss_bbox: 0.2871, loss_mask: 0.2977, loss: 0.9314 +2022-09-21 21:08:23,591 - mmdet - INFO - Epoch [1][6500/7330] lr: 1.000e-04, eta: 1 day, 7:46:53, time: 0.427, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0472, loss_cls: 0.2561, acc: 91.6523, loss_bbox: 0.2951, loss_mask: 0.2934, loss: 0.9360 +2022-09-21 21:08:45,339 - mmdet - INFO - Epoch [1][6550/7330] lr: 1.000e-04, eta: 1 day, 7:46:11, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0503, loss_cls: 0.2574, acc: 91.6054, loss_bbox: 0.2956, loss_mask: 0.3025, loss: 0.9567 +2022-09-21 21:09:06,680 - mmdet - INFO - Epoch [1][6600/7330] lr: 1.000e-04, eta: 1 day, 7:45:15, time: 0.427, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0463, loss_cls: 0.2447, acc: 92.0557, loss_bbox: 0.2852, loss_mask: 0.2945, loss: 0.9168 +2022-09-21 21:09:28,259 - mmdet - INFO - Epoch [1][6650/7330] lr: 1.000e-04, eta: 1 day, 7:44:28, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0467, loss_cls: 0.2632, acc: 91.4839, loss_bbox: 0.2953, loss_mask: 0.3019, loss: 0.9536 +2022-09-21 21:09:49,854 - mmdet - INFO - Epoch [1][6700/7330] lr: 1.000e-04, eta: 1 day, 7:43:42, time: 0.432, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0461, loss_cls: 0.2659, acc: 91.5383, loss_bbox: 0.2974, loss_mask: 0.3007, loss: 0.9578 +2022-09-21 21:10:11,457 - mmdet - INFO - Epoch [1][6750/7330] lr: 1.000e-04, eta: 1 day, 7:42:56, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0469, loss_cls: 0.2615, acc: 91.6592, loss_bbox: 0.2929, loss_mask: 0.2935, loss: 0.9445 +2022-09-21 21:10:32,976 - mmdet - INFO - Epoch [1][6800/7330] lr: 1.000e-04, eta: 1 day, 7:42:09, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0461, loss_cls: 0.2522, acc: 91.7375, loss_bbox: 0.2904, loss_mask: 0.2928, loss: 0.9294 +2022-09-21 21:10:54,670 - mmdet - INFO - Epoch [1][6850/7330] lr: 1.000e-04, eta: 1 day, 7:41:28, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0480, loss_cls: 0.2662, acc: 91.2397, loss_bbox: 0.3005, loss_mask: 0.2952, loss: 0.9558 +2022-09-21 21:11:16,139 - mmdet - INFO - Epoch [1][6900/7330] lr: 1.000e-04, eta: 1 day, 7:40:39, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0491, loss_cls: 0.2542, acc: 91.6123, loss_bbox: 0.2853, loss_mask: 0.2971, loss: 0.9349 +2022-09-21 21:11:37,647 - mmdet - INFO - Epoch [1][6950/7330] lr: 1.000e-04, eta: 1 day, 7:39:51, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0447, loss_cls: 0.2445, acc: 91.9526, loss_bbox: 0.2848, loss_mask: 0.2907, loss: 0.9083 +2022-09-21 21:11:59,054 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 21:11:59,059 - mmdet - INFO - Epoch [1][7000/7330] lr: 1.000e-04, eta: 1 day, 7:39:01, time: 0.428, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0466, loss_cls: 0.2621, acc: 91.4102, loss_bbox: 0.3021, loss_mask: 0.2944, loss: 0.9508 +2022-09-21 21:12:21,096 - mmdet - INFO - Epoch [1][7050/7330] lr: 1.000e-04, eta: 1 day, 7:38:34, time: 0.441, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0476, loss_cls: 0.2546, acc: 91.6614, loss_bbox: 0.2914, loss_mask: 0.2957, loss: 0.9374 +2022-09-21 21:12:43,195 - mmdet - INFO - Epoch [1][7100/7330] lr: 1.000e-04, eta: 1 day, 7:38:09, time: 0.442, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0468, loss_cls: 0.2565, acc: 91.7905, loss_bbox: 0.2922, loss_mask: 0.3021, loss: 0.9450 +2022-09-21 21:13:04,999 - mmdet - INFO - Epoch [1][7150/7330] lr: 1.000e-04, eta: 1 day, 7:37:33, time: 0.436, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0482, loss_cls: 0.2536, acc: 91.7090, loss_bbox: 0.2940, loss_mask: 0.2937, loss: 0.9390 +2022-09-21 21:13:26,684 - mmdet - INFO - Epoch [1][7200/7330] lr: 1.000e-04, eta: 1 day, 7:36:52, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0455, loss_cls: 0.2488, acc: 91.9331, loss_bbox: 0.2852, loss_mask: 0.2906, loss: 0.9152 +2022-09-21 21:13:48,398 - mmdet - INFO - Epoch [1][7250/7330] lr: 1.000e-04, eta: 1 day, 7:36:14, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0480, loss_cls: 0.2575, acc: 91.6006, loss_bbox: 0.2957, loss_mask: 0.3003, loss: 0.9515 +2022-09-21 21:14:09,855 - mmdet - INFO - Epoch [1][7300/7330] lr: 1.000e-04, eta: 1 day, 7:35:28, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0479, loss_cls: 0.2509, acc: 91.6567, loss_bbox: 0.2930, loss_mask: 0.2954, loss: 0.9348 +2022-09-21 21:14:32,306 - mmdet - INFO - Saving checkpoint at 1 epochs +2022-09-21 21:16:30,556 - mmdet - INFO - Evaluating bbox... +2022-09-21 21:17:07,234 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.309 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.558 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.316 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.191 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.336 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.400 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.454 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.454 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.454 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.281 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.486 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.584 + +2022-09-21 21:17:07,235 - mmdet - INFO - Evaluating segm... +2022-09-21 21:17:47,805 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.302 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.527 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.310 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.149 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.331 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.457 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.435 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.435 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.435 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.248 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.473 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.585 + +2022-09-21 21:17:48,444 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 21:17:48,445 - mmdet - INFO - Epoch(val) [1][625] bbox_mAP: 0.3090, bbox_mAP_50: 0.5580, bbox_mAP_75: 0.3160, bbox_mAP_s: 0.1910, bbox_mAP_m: 0.3360, bbox_mAP_l: 0.4000, bbox_mAP_copypaste: 0.309 0.558 0.316 0.191 0.336 0.400, segm_mAP: 0.3020, segm_mAP_50: 0.5270, segm_mAP_75: 0.3100, segm_mAP_s: 0.1490, segm_mAP_m: 0.3310, segm_mAP_l: 0.4570, segm_mAP_copypaste: 0.302 0.527 0.310 0.149 0.331 0.457 +2022-09-21 21:19:58,872 - mmdet - INFO - Epoch [2][50/7330] lr: 1.000e-04, eta: 1 day, 8:29:50, time: 2.607, data_time: 2.167, memory: 30699, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0453, loss_cls: 0.2530, acc: 91.6687, loss_bbox: 0.2876, loss_mask: 0.2935, loss: 0.9224 +2022-09-21 21:20:21,307 - mmdet - INFO - Epoch [2][100/7330] lr: 1.000e-04, eta: 1 day, 8:29:16, time: 0.450, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0473, loss_cls: 0.2530, acc: 91.7163, loss_bbox: 0.2910, loss_mask: 0.2894, loss: 0.9237 +2022-09-21 21:20:43,352 - mmdet - INFO - Epoch [2][150/7330] lr: 1.000e-04, eta: 1 day, 8:28:26, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0506, loss_rpn_bbox: 0.0481, loss_cls: 0.2526, acc: 91.7324, loss_bbox: 0.2901, loss_mask: 0.2928, loss: 0.9343 +2022-09-21 21:21:05,404 - mmdet - INFO - Epoch [2][200/7330] lr: 1.000e-04, eta: 1 day, 8:27:40, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0428, loss_cls: 0.2368, acc: 92.3538, loss_bbox: 0.2684, loss_mask: 0.2810, loss: 0.8716 +2022-09-21 21:21:27,231 - mmdet - INFO - Epoch [2][250/7330] lr: 1.000e-04, eta: 1 day, 8:26:44, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0450, loss_cls: 0.2462, acc: 91.8711, loss_bbox: 0.2893, loss_mask: 0.2869, loss: 0.9106 +2022-09-21 21:21:49,257 - mmdet - INFO - Epoch [2][300/7330] lr: 1.000e-04, eta: 1 day, 8:25:56, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0442, loss_cls: 0.2441, acc: 91.8833, loss_bbox: 0.2848, loss_mask: 0.2840, loss: 0.8984 +2022-09-21 21:22:11,238 - mmdet - INFO - Epoch [2][350/7330] lr: 1.000e-04, eta: 1 day, 8:25:05, time: 0.439, data_time: 0.022, memory: 30699, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0496, loss_cls: 0.2632, acc: 91.5195, loss_bbox: 0.2923, loss_mask: 0.2900, loss: 0.9448 +2022-09-21 21:22:33,209 - mmdet - INFO - Epoch [2][400/7330] lr: 1.000e-04, eta: 1 day, 8:24:17, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0460, loss_cls: 0.2466, acc: 91.9800, loss_bbox: 0.2862, loss_mask: 0.2933, loss: 0.9179 +2022-09-21 21:22:55,310 - mmdet - INFO - Epoch [2][450/7330] lr: 1.000e-04, eta: 1 day, 8:23:32, time: 0.442, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0436, loss_cls: 0.2343, acc: 92.3353, loss_bbox: 0.2737, loss_mask: 0.2821, loss: 0.8777 +2022-09-21 21:23:17,441 - mmdet - INFO - Epoch [2][500/7330] lr: 1.000e-04, eta: 1 day, 8:22:48, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0449, loss_rpn_bbox: 0.0462, loss_cls: 0.2419, acc: 92.0894, loss_bbox: 0.2790, loss_mask: 0.2857, loss: 0.8976 +2022-09-21 21:23:39,620 - mmdet - INFO - Epoch [2][550/7330] lr: 1.000e-04, eta: 1 day, 8:22:07, time: 0.444, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0475, loss_cls: 0.2474, acc: 91.8540, loss_bbox: 0.2843, loss_mask: 0.2874, loss: 0.9116 +2022-09-21 21:24:01,277 - mmdet - INFO - Epoch [2][600/7330] lr: 1.000e-04, eta: 1 day, 8:21:08, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0443, loss_cls: 0.2425, acc: 92.0964, loss_bbox: 0.2695, loss_mask: 0.2874, loss: 0.8858 +2022-09-21 21:24:23,102 - mmdet - INFO - Epoch [2][650/7330] lr: 1.000e-04, eta: 1 day, 8:20:16, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0479, loss_cls: 0.2466, acc: 91.8103, loss_bbox: 0.2887, loss_mask: 0.2801, loss: 0.9092 +2022-09-21 21:24:44,990 - mmdet - INFO - Epoch [2][700/7330] lr: 1.000e-04, eta: 1 day, 8:19:26, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0495, loss_cls: 0.2452, acc: 91.8757, loss_bbox: 0.2871, loss_mask: 0.2910, loss: 0.9216 +2022-09-21 21:25:06,938 - mmdet - INFO - Epoch [2][750/7330] lr: 1.000e-04, eta: 1 day, 8:18:38, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0460, loss_rpn_bbox: 0.0483, loss_cls: 0.2502, acc: 91.7717, loss_bbox: 0.2950, loss_mask: 0.2784, loss: 0.9179 +2022-09-21 21:25:28,658 - mmdet - INFO - Epoch [2][800/7330] lr: 1.000e-04, eta: 1 day, 8:17:43, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0452, loss_cls: 0.2459, acc: 91.8240, loss_bbox: 0.2853, loss_mask: 0.2869, loss: 0.9052 +2022-09-21 21:25:50,666 - mmdet - INFO - Epoch [2][850/7330] lr: 1.000e-04, eta: 1 day, 8:16:58, time: 0.440, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0439, loss_rpn_bbox: 0.0488, loss_cls: 0.2524, acc: 91.6514, loss_bbox: 0.2911, loss_mask: 0.2908, loss: 0.9270 +2022-09-21 21:26:12,669 - mmdet - INFO - Epoch [2][900/7330] lr: 1.000e-04, eta: 1 day, 8:16:12, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0475, loss_cls: 0.2471, acc: 91.9351, loss_bbox: 0.2930, loss_mask: 0.2889, loss: 0.9227 +2022-09-21 21:26:34,637 - mmdet - INFO - Epoch [2][950/7330] lr: 1.000e-04, eta: 1 day, 8:15:26, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0485, loss_cls: 0.2494, acc: 91.8545, loss_bbox: 0.2862, loss_mask: 0.2829, loss: 0.9132 +2022-09-21 21:26:56,722 - mmdet - INFO - Epoch [2][1000/7330] lr: 1.000e-04, eta: 1 day, 8:14:45, time: 0.442, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0477, loss_rpn_bbox: 0.0480, loss_cls: 0.2412, acc: 91.9998, loss_bbox: 0.2824, loss_mask: 0.2840, loss: 0.9034 +2022-09-21 21:27:18,810 - mmdet - INFO - Epoch [2][1050/7330] lr: 1.000e-04, eta: 1 day, 8:14:03, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0463, loss_cls: 0.2400, acc: 92.0601, loss_bbox: 0.2745, loss_mask: 0.2799, loss: 0.8866 +2022-09-21 21:27:40,833 - mmdet - INFO - Epoch [2][1100/7330] lr: 1.000e-04, eta: 1 day, 8:13:19, time: 0.440, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0467, loss_cls: 0.2571, acc: 91.4199, loss_bbox: 0.2977, loss_mask: 0.2951, loss: 0.9418 +2022-09-21 21:28:02,394 - mmdet - INFO - Epoch [2][1150/7330] lr: 1.000e-04, eta: 1 day, 8:12:22, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0478, loss_cls: 0.2577, acc: 91.4568, loss_bbox: 0.2920, loss_mask: 0.2921, loss: 0.9367 +2022-09-21 21:28:24,627 - mmdet - INFO - Epoch [2][1200/7330] lr: 1.000e-04, eta: 1 day, 8:11:45, time: 0.445, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0451, loss_cls: 0.2455, acc: 92.0044, loss_bbox: 0.2797, loss_mask: 0.2861, loss: 0.9014 +2022-09-21 21:28:46,371 - mmdet - INFO - Epoch [2][1250/7330] lr: 1.000e-04, eta: 1 day, 8:10:54, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0448, loss_cls: 0.2453, acc: 91.9177, loss_bbox: 0.2839, loss_mask: 0.2869, loss: 0.9018 +2022-09-21 21:29:08,597 - mmdet - INFO - Epoch [2][1300/7330] lr: 1.000e-04, eta: 1 day, 8:10:18, time: 0.444, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0448, loss_cls: 0.2459, acc: 91.8372, loss_bbox: 0.2784, loss_mask: 0.2804, loss: 0.8939 +2022-09-21 21:29:30,155 - mmdet - INFO - Epoch [2][1350/7330] lr: 1.000e-04, eta: 1 day, 8:09:22, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0445, loss_cls: 0.2434, acc: 91.9399, loss_bbox: 0.2824, loss_mask: 0.2868, loss: 0.9004 +2022-09-21 21:29:52,461 - mmdet - INFO - Epoch [2][1400/7330] lr: 1.000e-04, eta: 1 day, 8:08:48, time: 0.446, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0482, loss_cls: 0.2575, acc: 91.5605, loss_bbox: 0.2954, loss_mask: 0.2757, loss: 0.9229 +2022-09-21 21:30:14,858 - mmdet - INFO - Epoch [2][1450/7330] lr: 1.000e-04, eta: 1 day, 8:08:18, time: 0.448, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0484, loss_cls: 0.2586, acc: 91.4707, loss_bbox: 0.2932, loss_mask: 0.2878, loss: 0.9348 +2022-09-21 21:30:36,713 - mmdet - INFO - Epoch [2][1500/7330] lr: 1.000e-04, eta: 1 day, 8:07:30, time: 0.436, data_time: 0.023, memory: 30699, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0426, loss_cls: 0.2441, acc: 92.0427, loss_bbox: 0.2749, loss_mask: 0.2832, loss: 0.8877 +2022-09-21 21:30:58,000 - mmdet - INFO - Epoch [2][1550/7330] lr: 1.000e-04, eta: 1 day, 8:06:27, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0455, loss_cls: 0.2327, acc: 92.1333, loss_bbox: 0.2785, loss_mask: 0.2739, loss: 0.8717 +2022-09-21 21:31:20,099 - mmdet - INFO - Epoch [2][1600/7330] lr: 1.000e-04, eta: 1 day, 8:05:50, time: 0.443, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0499, loss_rpn_bbox: 0.0474, loss_cls: 0.2519, acc: 91.6807, loss_bbox: 0.2914, loss_mask: 0.2924, loss: 0.9329 +2022-09-21 21:31:41,680 - mmdet - INFO - Epoch [2][1650/7330] lr: 1.000e-04, eta: 1 day, 8:04:56, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0440, loss_cls: 0.2351, acc: 92.3071, loss_bbox: 0.2668, loss_mask: 0.2793, loss: 0.8684 +2022-09-21 21:32:02,851 - mmdet - INFO - Epoch [2][1700/7330] lr: 1.000e-04, eta: 1 day, 8:03:52, time: 0.423, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0446, loss_cls: 0.2397, acc: 92.1411, loss_bbox: 0.2734, loss_mask: 0.2840, loss: 0.8832 +2022-09-21 21:32:24,074 - mmdet - INFO - Epoch [2][1750/7330] lr: 1.000e-04, eta: 1 day, 8:02:49, time: 0.424, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0421, loss_cls: 0.2342, acc: 92.4170, loss_bbox: 0.2666, loss_mask: 0.2785, loss: 0.8604 +2022-09-21 21:32:45,559 - mmdet - INFO - Epoch [2][1800/7330] lr: 1.000e-04, eta: 1 day, 8:01:54, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0438, loss_cls: 0.2236, acc: 92.4539, loss_bbox: 0.2673, loss_mask: 0.2798, loss: 0.8574 +2022-09-21 21:33:07,463 - mmdet - INFO - Epoch [2][1850/7330] lr: 1.000e-04, eta: 1 day, 8:01:11, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0475, loss_rpn_bbox: 0.0490, loss_cls: 0.2470, acc: 91.8208, loss_bbox: 0.2899, loss_mask: 0.2843, loss: 0.9177 +2022-09-21 21:33:29,397 - mmdet - INFO - Epoch [2][1900/7330] lr: 1.000e-04, eta: 1 day, 8:00:30, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0474, loss_cls: 0.2418, acc: 91.9500, loss_bbox: 0.2775, loss_mask: 0.2792, loss: 0.8949 +2022-09-21 21:33:50,867 - mmdet - INFO - Epoch [2][1950/7330] lr: 1.000e-04, eta: 1 day, 7:59:36, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0480, loss_rpn_bbox: 0.0470, loss_cls: 0.2446, acc: 91.9602, loss_bbox: 0.2814, loss_mask: 0.2920, loss: 0.9130 +2022-09-21 21:34:12,810 - mmdet - INFO - Epoch [2][2000/7330] lr: 1.000e-04, eta: 1 day, 7:58:54, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0451, loss_cls: 0.2461, acc: 91.8704, loss_bbox: 0.2813, loss_mask: 0.2865, loss: 0.9036 +2022-09-21 21:34:34,922 - mmdet - INFO - Epoch [2][2050/7330] lr: 1.000e-04, eta: 1 day, 7:58:18, time: 0.442, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0489, loss_cls: 0.2465, acc: 91.8962, loss_bbox: 0.2817, loss_mask: 0.2826, loss: 0.9055 +2022-09-21 21:34:56,983 - mmdet - INFO - Epoch [2][2100/7330] lr: 1.000e-04, eta: 1 day, 7:57:40, time: 0.441, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0480, loss_cls: 0.2508, acc: 91.6360, loss_bbox: 0.2859, loss_mask: 0.2862, loss: 0.9158 +2022-09-21 21:35:19,060 - mmdet - INFO - Epoch [2][2150/7330] lr: 1.000e-04, eta: 1 day, 7:57:04, time: 0.442, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0471, loss_cls: 0.2363, acc: 92.2366, loss_bbox: 0.2719, loss_mask: 0.2784, loss: 0.8752 +2022-09-21 21:35:40,798 - mmdet - INFO - Epoch [2][2200/7330] lr: 1.000e-04, eta: 1 day, 7:56:18, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0448, loss_cls: 0.2404, acc: 92.0444, loss_bbox: 0.2787, loss_mask: 0.2788, loss: 0.8835 +2022-09-21 21:36:02,326 - mmdet - INFO - Epoch [2][2250/7330] lr: 1.000e-04, eta: 1 day, 7:55:27, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0421, loss_cls: 0.2436, acc: 92.0347, loss_bbox: 0.2770, loss_mask: 0.2746, loss: 0.8769 +2022-09-21 21:36:24,198 - mmdet - INFO - Epoch [2][2300/7330] lr: 1.000e-04, eta: 1 day, 7:54:45, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0457, loss_cls: 0.2440, acc: 91.9817, loss_bbox: 0.2808, loss_mask: 0.2769, loss: 0.8910 +2022-09-21 21:36:45,709 - mmdet - INFO - Epoch [2][2350/7330] lr: 1.000e-04, eta: 1 day, 7:53:54, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0487, loss_cls: 0.2442, acc: 91.9385, loss_bbox: 0.2866, loss_mask: 0.2809, loss: 0.9062 +2022-09-21 21:37:07,134 - mmdet - INFO - Epoch [2][2400/7330] lr: 1.000e-04, eta: 1 day, 7:53:01, time: 0.429, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0426, loss_cls: 0.2393, acc: 92.1353, loss_bbox: 0.2804, loss_mask: 0.2805, loss: 0.8839 +2022-09-21 21:37:28,991 - mmdet - INFO - Epoch [2][2450/7330] lr: 1.000e-04, eta: 1 day, 7:52:19, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0453, loss_cls: 0.2450, acc: 91.9270, loss_bbox: 0.2833, loss_mask: 0.2764, loss: 0.8918 +2022-09-21 21:37:51,041 - mmdet - INFO - Epoch [2][2500/7330] lr: 1.000e-04, eta: 1 day, 7:51:43, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0437, loss_rpn_bbox: 0.0445, loss_cls: 0.2378, acc: 92.0791, loss_bbox: 0.2717, loss_mask: 0.2782, loss: 0.8758 +2022-09-21 21:38:13,030 - mmdet - INFO - Epoch [2][2550/7330] lr: 1.000e-04, eta: 1 day, 7:51:06, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0466, loss_cls: 0.2505, acc: 91.7437, loss_bbox: 0.2857, loss_mask: 0.2800, loss: 0.9071 +2022-09-21 21:38:34,962 - mmdet - INFO - Epoch [2][2600/7330] lr: 1.000e-04, eta: 1 day, 7:50:27, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0429, loss_rpn_bbox: 0.0443, loss_cls: 0.2474, acc: 91.7437, loss_bbox: 0.2917, loss_mask: 0.2852, loss: 0.9114 +2022-09-21 21:38:57,048 - mmdet - INFO - Epoch [2][2650/7330] lr: 1.000e-04, eta: 1 day, 7:49:52, time: 0.442, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0432, loss_cls: 0.2386, acc: 92.1182, loss_bbox: 0.2714, loss_mask: 0.2787, loss: 0.8743 +2022-09-21 21:39:18,627 - mmdet - INFO - Epoch [2][2700/7330] lr: 1.000e-04, eta: 1 day, 7:49:04, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0448, loss_cls: 0.2434, acc: 92.0132, loss_bbox: 0.2763, loss_mask: 0.2814, loss: 0.8916 +2022-09-21 21:39:40,535 - mmdet - INFO - Epoch [2][2750/7330] lr: 1.000e-04, eta: 1 day, 7:48:25, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0454, loss_cls: 0.2467, acc: 91.9546, loss_bbox: 0.2792, loss_mask: 0.2888, loss: 0.9057 +2022-09-21 21:40:02,027 - mmdet - INFO - Epoch [2][2800/7330] lr: 1.000e-04, eta: 1 day, 7:47:36, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0462, loss_cls: 0.2366, acc: 92.3174, loss_bbox: 0.2719, loss_mask: 0.2767, loss: 0.8736 +2022-09-21 21:40:23,366 - mmdet - INFO - Epoch [2][2850/7330] lr: 1.000e-04, eta: 1 day, 7:46:43, time: 0.426, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0413, loss_cls: 0.2331, acc: 92.0806, loss_bbox: 0.2812, loss_mask: 0.2765, loss: 0.8706 +2022-09-21 21:40:45,202 - mmdet - INFO - Epoch [2][2900/7330] lr: 1.000e-04, eta: 1 day, 7:46:03, time: 0.437, data_time: 0.022, memory: 30699, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0428, loss_cls: 0.2346, acc: 92.4031, loss_bbox: 0.2689, loss_mask: 0.2709, loss: 0.8603 +2022-09-21 21:41:06,695 - mmdet - INFO - Epoch [2][2950/7330] lr: 1.000e-04, eta: 1 day, 7:45:15, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0406, loss_cls: 0.2457, acc: 92.0168, loss_bbox: 0.2736, loss_mask: 0.2749, loss: 0.8723 +2022-09-21 21:41:27,930 - mmdet - INFO - Epoch [2][3000/7330] lr: 1.000e-04, eta: 1 day, 7:44:20, time: 0.425, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0437, loss_cls: 0.2369, acc: 92.0239, loss_bbox: 0.2804, loss_mask: 0.2807, loss: 0.8829 +2022-09-21 21:41:49,638 - mmdet - INFO - Epoch [2][3050/7330] lr: 1.000e-04, eta: 1 day, 7:43:37, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0457, loss_cls: 0.2344, acc: 92.1741, loss_bbox: 0.2750, loss_mask: 0.2820, loss: 0.8783 +2022-09-21 21:42:11,314 - mmdet - INFO - Epoch [2][3100/7330] lr: 1.000e-04, eta: 1 day, 7:42:54, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0438, loss_cls: 0.2383, acc: 92.1824, loss_bbox: 0.2743, loss_mask: 0.2775, loss: 0.8751 +2022-09-21 21:42:33,086 - mmdet - INFO - Epoch [2][3150/7330] lr: 1.000e-04, eta: 1 day, 7:42:13, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0441, loss_cls: 0.2391, acc: 92.1072, loss_bbox: 0.2785, loss_mask: 0.2834, loss: 0.8861 +2022-09-21 21:42:54,656 - mmdet - INFO - Epoch [2][3200/7330] lr: 1.000e-04, eta: 1 day, 7:41:27, time: 0.431, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0413, loss_cls: 0.2332, acc: 92.3374, loss_bbox: 0.2731, loss_mask: 0.2800, loss: 0.8686 +2022-09-21 21:43:15,973 - mmdet - INFO - Epoch [2][3250/7330] lr: 1.000e-04, eta: 1 day, 7:40:37, time: 0.427, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0427, loss_cls: 0.2306, acc: 92.3940, loss_bbox: 0.2652, loss_mask: 0.2824, loss: 0.8626 +2022-09-21 21:43:37,992 - mmdet - INFO - Epoch [2][3300/7330] lr: 1.000e-04, eta: 1 day, 7:40:02, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0419, loss_cls: 0.2253, acc: 92.4438, loss_bbox: 0.2653, loss_mask: 0.2709, loss: 0.8450 +2022-09-21 21:43:59,355 - mmdet - INFO - Epoch [2][3350/7330] lr: 1.000e-04, eta: 1 day, 7:39:13, time: 0.427, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0439, loss_cls: 0.2375, acc: 92.2378, loss_bbox: 0.2710, loss_mask: 0.2755, loss: 0.8712 +2022-09-21 21:44:21,491 - mmdet - INFO - Epoch [2][3400/7330] lr: 1.000e-04, eta: 1 day, 7:38:42, time: 0.443, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0461, loss_cls: 0.2433, acc: 92.0566, loss_bbox: 0.2762, loss_mask: 0.2763, loss: 0.8876 +2022-09-21 21:44:43,190 - mmdet - INFO - Epoch [2][3450/7330] lr: 1.000e-04, eta: 1 day, 7:38:00, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0476, loss_cls: 0.2608, acc: 91.3110, loss_bbox: 0.2936, loss_mask: 0.2819, loss: 0.9331 +2022-09-21 21:45:05,050 - mmdet - INFO - Epoch [2][3500/7330] lr: 1.000e-04, eta: 1 day, 7:37:23, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0447, loss_cls: 0.2494, acc: 91.9705, loss_bbox: 0.2812, loss_mask: 0.2864, loss: 0.9051 +2022-09-21 21:45:26,572 - mmdet - INFO - Epoch [2][3550/7330] lr: 1.000e-04, eta: 1 day, 7:36:38, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0452, loss_rpn_bbox: 0.0447, loss_cls: 0.2401, acc: 92.0229, loss_bbox: 0.2741, loss_mask: 0.2772, loss: 0.8813 +2022-09-21 21:45:48,309 - mmdet - INFO - Epoch [2][3600/7330] lr: 1.000e-04, eta: 1 day, 7:35:58, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0422, loss_cls: 0.2357, acc: 92.1790, loss_bbox: 0.2698, loss_mask: 0.2709, loss: 0.8597 +2022-09-21 21:46:10,021 - mmdet - INFO - Epoch [2][3650/7330] lr: 1.000e-04, eta: 1 day, 7:35:18, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0447, loss_cls: 0.2361, acc: 92.2878, loss_bbox: 0.2735, loss_mask: 0.2808, loss: 0.8758 +2022-09-21 21:46:31,555 - mmdet - INFO - Epoch [2][3700/7330] lr: 1.000e-04, eta: 1 day, 7:34:33, time: 0.431, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0452, loss_cls: 0.2361, acc: 92.1399, loss_bbox: 0.2752, loss_mask: 0.2776, loss: 0.8758 +2022-09-21 21:46:53,845 - mmdet - INFO - Epoch [2][3750/7330] lr: 1.000e-04, eta: 1 day, 7:34:06, time: 0.445, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0400, loss_cls: 0.2222, acc: 92.6509, loss_bbox: 0.2550, loss_mask: 0.2623, loss: 0.8173 +2022-09-21 21:47:15,403 - mmdet - INFO - Epoch [2][3800/7330] lr: 1.000e-04, eta: 1 day, 7:33:23, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0441, loss_cls: 0.2297, acc: 92.2383, loss_bbox: 0.2756, loss_mask: 0.2758, loss: 0.8658 +2022-09-21 21:47:37,720 - mmdet - INFO - Epoch [2][3850/7330] lr: 1.000e-04, eta: 1 day, 7:32:57, time: 0.446, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0454, loss_cls: 0.2402, acc: 91.9929, loss_bbox: 0.2807, loss_mask: 0.2711, loss: 0.8800 +2022-09-21 21:47:59,447 - mmdet - INFO - Epoch [2][3900/7330] lr: 1.000e-04, eta: 1 day, 7:32:18, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0460, loss_cls: 0.2339, acc: 92.1567, loss_bbox: 0.2761, loss_mask: 0.2758, loss: 0.8738 +2022-09-21 21:48:21,609 - mmdet - INFO - Epoch [2][3950/7330] lr: 1.000e-04, eta: 1 day, 7:31:49, time: 0.443, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0429, loss_rpn_bbox: 0.0449, loss_cls: 0.2342, acc: 92.2693, loss_bbox: 0.2720, loss_mask: 0.2812, loss: 0.8752 +2022-09-21 21:48:43,424 - mmdet - INFO - Epoch [2][4000/7330] lr: 1.000e-04, eta: 1 day, 7:31:11, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0427, loss_cls: 0.2375, acc: 92.1230, loss_bbox: 0.2709, loss_mask: 0.2709, loss: 0.8628 +2022-09-21 21:49:05,700 - mmdet - INFO - Epoch [2][4050/7330] lr: 1.000e-04, eta: 1 day, 7:30:45, time: 0.446, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0459, loss_cls: 0.2450, acc: 91.7283, loss_bbox: 0.2843, loss_mask: 0.2766, loss: 0.8948 +2022-09-21 21:49:27,399 - mmdet - INFO - Epoch [2][4100/7330] lr: 1.000e-04, eta: 1 day, 7:30:05, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0406, loss_cls: 0.2249, acc: 92.4961, loss_bbox: 0.2667, loss_mask: 0.2731, loss: 0.8444 +2022-09-21 21:49:49,157 - mmdet - INFO - Epoch [2][4150/7330] lr: 1.000e-04, eta: 1 day, 7:29:27, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0430, loss_cls: 0.2331, acc: 92.2861, loss_bbox: 0.2676, loss_mask: 0.2731, loss: 0.8569 +2022-09-21 21:50:11,433 - mmdet - INFO - Epoch [2][4200/7330] lr: 1.000e-04, eta: 1 day, 7:29:01, time: 0.446, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0462, loss_cls: 0.2335, acc: 92.3337, loss_bbox: 0.2702, loss_mask: 0.2758, loss: 0.8688 +2022-09-21 21:50:32,899 - mmdet - INFO - Epoch [2][4250/7330] lr: 1.000e-04, eta: 1 day, 7:28:17, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0409, loss_cls: 0.2379, acc: 92.2290, loss_bbox: 0.2731, loss_mask: 0.2776, loss: 0.8695 +2022-09-21 21:50:54,667 - mmdet - INFO - Epoch [2][4300/7330] lr: 1.000e-04, eta: 1 day, 7:27:39, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0407, loss_cls: 0.2246, acc: 92.5696, loss_bbox: 0.2622, loss_mask: 0.2685, loss: 0.8349 +2022-09-21 21:51:16,232 - mmdet - INFO - Epoch [2][4350/7330] lr: 1.000e-04, eta: 1 day, 7:26:58, time: 0.432, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0429, loss_cls: 0.2419, acc: 91.9619, loss_bbox: 0.2756, loss_mask: 0.2739, loss: 0.8764 +2022-09-21 21:51:38,104 - mmdet - INFO - Epoch [2][4400/7330] lr: 1.000e-04, eta: 1 day, 7:26:23, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0424, loss_cls: 0.2376, acc: 92.0881, loss_bbox: 0.2736, loss_mask: 0.2742, loss: 0.8690 +2022-09-21 21:51:59,846 - mmdet - INFO - Epoch [2][4450/7330] lr: 1.000e-04, eta: 1 day, 7:25:46, time: 0.435, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0466, loss_cls: 0.2440, acc: 91.8237, loss_bbox: 0.2848, loss_mask: 0.2788, loss: 0.9001 +2022-09-21 21:52:21,934 - mmdet - INFO - Epoch [2][4500/7330] lr: 1.000e-04, eta: 1 day, 7:25:16, time: 0.442, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0441, loss_cls: 0.2349, acc: 92.2747, loss_bbox: 0.2720, loss_mask: 0.2758, loss: 0.8657 +2022-09-21 21:52:44,058 - mmdet - INFO - Epoch [2][4550/7330] lr: 1.000e-04, eta: 1 day, 7:24:47, time: 0.442, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0444, loss_cls: 0.2420, acc: 91.9939, loss_bbox: 0.2733, loss_mask: 0.2773, loss: 0.8791 +2022-09-21 21:53:06,153 - mmdet - INFO - Epoch [2][4600/7330] lr: 1.000e-04, eta: 1 day, 7:24:17, time: 0.442, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0439, loss_cls: 0.2269, acc: 92.3601, loss_bbox: 0.2675, loss_mask: 0.2742, loss: 0.8520 +2022-09-21 21:53:27,913 - mmdet - INFO - Epoch [2][4650/7330] lr: 1.000e-04, eta: 1 day, 7:23:40, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0443, loss_rpn_bbox: 0.0455, loss_cls: 0.2388, acc: 92.0044, loss_bbox: 0.2760, loss_mask: 0.2767, loss: 0.8812 +2022-09-21 21:53:49,576 - mmdet - INFO - Epoch [2][4700/7330] lr: 1.000e-04, eta: 1 day, 7:23:02, time: 0.433, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0447, loss_cls: 0.2287, acc: 92.4109, loss_bbox: 0.2668, loss_mask: 0.2746, loss: 0.8567 +2022-09-21 21:54:11,347 - mmdet - INFO - Epoch [2][4750/7330] lr: 1.000e-04, eta: 1 day, 7:22:25, time: 0.435, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0435, loss_cls: 0.2278, acc: 92.4124, loss_bbox: 0.2663, loss_mask: 0.2780, loss: 0.8539 +2022-09-21 21:54:33,453 - mmdet - INFO - Epoch [2][4800/7330] lr: 1.000e-04, eta: 1 day, 7:21:56, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0462, loss_cls: 0.2422, acc: 91.9744, loss_bbox: 0.2813, loss_mask: 0.2784, loss: 0.8906 +2022-09-21 21:54:55,260 - mmdet - INFO - Epoch [2][4850/7330] lr: 1.000e-04, eta: 1 day, 7:21:20, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0414, loss_cls: 0.2294, acc: 92.3071, loss_bbox: 0.2630, loss_mask: 0.2738, loss: 0.8504 +2022-09-21 21:55:17,542 - mmdet - INFO - Epoch [2][4900/7330] lr: 1.000e-04, eta: 1 day, 7:20:55, time: 0.446, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0430, loss_cls: 0.2391, acc: 92.0610, loss_bbox: 0.2825, loss_mask: 0.2690, loss: 0.8755 +2022-09-21 21:55:39,108 - mmdet - INFO - Epoch [2][4950/7330] lr: 1.000e-04, eta: 1 day, 7:20:16, time: 0.432, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0434, loss_cls: 0.2306, acc: 92.4397, loss_bbox: 0.2652, loss_mask: 0.2730, loss: 0.8531 +2022-09-21 21:56:01,269 - mmdet - INFO - Epoch [2][5000/7330] lr: 1.000e-04, eta: 1 day, 7:19:48, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0429, loss_cls: 0.2338, acc: 92.1201, loss_bbox: 0.2726, loss_mask: 0.2737, loss: 0.8636 +2022-09-21 21:56:23,268 - mmdet - INFO - Epoch [2][5050/7330] lr: 1.000e-04, eta: 1 day, 7:19:17, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0437, loss_cls: 0.2442, acc: 92.0283, loss_bbox: 0.2726, loss_mask: 0.2736, loss: 0.8749 +2022-09-21 21:56:45,392 - mmdet - INFO - Epoch [2][5100/7330] lr: 1.000e-04, eta: 1 day, 7:18:48, time: 0.442, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0431, loss_cls: 0.2413, acc: 92.0278, loss_bbox: 0.2748, loss_mask: 0.2722, loss: 0.8724 +2022-09-21 21:57:06,858 - mmdet - INFO - Epoch [2][5150/7330] lr: 1.000e-04, eta: 1 day, 7:18:07, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0403, loss_rpn_bbox: 0.0422, loss_cls: 0.2299, acc: 92.2434, loss_bbox: 0.2675, loss_mask: 0.2706, loss: 0.8505 +2022-09-21 21:57:28,999 - mmdet - INFO - Epoch [2][5200/7330] lr: 1.000e-04, eta: 1 day, 7:17:40, time: 0.443, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0423, loss_cls: 0.2313, acc: 92.3550, loss_bbox: 0.2667, loss_mask: 0.2746, loss: 0.8531 +2022-09-21 21:57:51,075 - mmdet - INFO - Epoch [2][5250/7330] lr: 1.000e-04, eta: 1 day, 7:17:10, time: 0.441, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0429, loss_rpn_bbox: 0.0464, loss_cls: 0.2422, acc: 91.8816, loss_bbox: 0.2851, loss_mask: 0.2805, loss: 0.8971 +2022-09-21 21:58:12,869 - mmdet - INFO - Epoch [2][5300/7330] lr: 1.000e-04, eta: 1 day, 7:16:36, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0421, loss_cls: 0.2382, acc: 91.8435, loss_bbox: 0.2810, loss_mask: 0.2657, loss: 0.8633 +2022-09-21 21:58:34,346 - mmdet - INFO - Epoch [2][5350/7330] lr: 1.000e-04, eta: 1 day, 7:15:55, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0461, loss_cls: 0.2336, acc: 92.1616, loss_bbox: 0.2759, loss_mask: 0.2777, loss: 0.8752 +2022-09-21 21:58:55,843 - mmdet - INFO - Epoch [2][5400/7330] lr: 1.000e-04, eta: 1 day, 7:15:15, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0433, loss_cls: 0.2438, acc: 91.8774, loss_bbox: 0.2848, loss_mask: 0.2734, loss: 0.8871 +2022-09-21 21:59:18,155 - mmdet - INFO - Epoch [2][5450/7330] lr: 1.000e-04, eta: 1 day, 7:14:50, time: 0.446, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0437, loss_cls: 0.2391, acc: 92.1533, loss_bbox: 0.2695, loss_mask: 0.2724, loss: 0.8657 +2022-09-21 21:59:40,310 - mmdet - INFO - Epoch [2][5500/7330] lr: 1.000e-04, eta: 1 day, 7:14:23, time: 0.443, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0446, loss_cls: 0.2442, acc: 92.0105, loss_bbox: 0.2776, loss_mask: 0.2756, loss: 0.8838 +2022-09-21 22:00:02,044 - mmdet - INFO - Epoch [2][5550/7330] lr: 1.000e-04, eta: 1 day, 7:13:48, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0437, loss_cls: 0.2454, acc: 91.9639, loss_bbox: 0.2790, loss_mask: 0.2726, loss: 0.8800 +2022-09-21 22:00:23,668 - mmdet - INFO - Epoch [2][5600/7330] lr: 1.000e-04, eta: 1 day, 7:13:11, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0462, loss_cls: 0.2387, acc: 92.1646, loss_bbox: 0.2703, loss_mask: 0.2729, loss: 0.8713 +2022-09-21 22:00:45,533 - mmdet - INFO - Epoch [2][5650/7330] lr: 1.000e-04, eta: 1 day, 7:12:38, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0429, loss_cls: 0.2351, acc: 92.2969, loss_bbox: 0.2683, loss_mask: 0.2716, loss: 0.8597 +2022-09-21 22:01:07,209 - mmdet - INFO - Epoch [2][5700/7330] lr: 1.000e-04, eta: 1 day, 7:12:02, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0414, loss_cls: 0.2281, acc: 92.4705, loss_bbox: 0.2602, loss_mask: 0.2677, loss: 0.8381 +2022-09-21 22:01:28,879 - mmdet - INFO - Epoch [2][5750/7330] lr: 1.000e-04, eta: 1 day, 7:11:25, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0442, loss_cls: 0.2398, acc: 91.9116, loss_bbox: 0.2792, loss_mask: 0.2780, loss: 0.8819 +2022-09-21 22:01:50,479 - mmdet - INFO - Epoch [2][5800/7330] lr: 1.000e-04, eta: 1 day, 7:10:48, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0424, loss_cls: 0.2387, acc: 92.2051, loss_bbox: 0.2724, loss_mask: 0.2752, loss: 0.8674 +2022-09-21 22:02:11,762 - mmdet - INFO - Epoch [2][5850/7330] lr: 1.000e-04, eta: 1 day, 7:10:05, time: 0.426, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0424, loss_cls: 0.2367, acc: 92.2275, loss_bbox: 0.2690, loss_mask: 0.2771, loss: 0.8687 +2022-09-21 22:02:33,359 - mmdet - INFO - Epoch [2][5900/7330] lr: 1.000e-04, eta: 1 day, 7:09:28, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0406, loss_cls: 0.2265, acc: 92.6304, loss_bbox: 0.2581, loss_mask: 0.2675, loss: 0.8335 +2022-09-21 22:02:55,261 - mmdet - INFO - Epoch [2][5950/7330] lr: 1.000e-04, eta: 1 day, 7:08:55, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0438, loss_cls: 0.2367, acc: 92.1614, loss_bbox: 0.2628, loss_mask: 0.2714, loss: 0.8580 +2022-09-21 22:03:16,757 - mmdet - INFO - Epoch [2][6000/7330] lr: 1.000e-04, eta: 1 day, 7:08:17, time: 0.430, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0405, loss_rpn_bbox: 0.0433, loss_cls: 0.2255, acc: 92.5886, loss_bbox: 0.2567, loss_mask: 0.2695, loss: 0.8355 +2022-09-21 22:03:38,328 - mmdet - INFO - Epoch [2][6050/7330] lr: 1.000e-04, eta: 1 day, 7:07:40, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0442, loss_rpn_bbox: 0.0433, loss_cls: 0.2351, acc: 92.0708, loss_bbox: 0.2744, loss_mask: 0.2773, loss: 0.8744 +2022-09-21 22:04:00,136 - mmdet - INFO - Epoch [2][6100/7330] lr: 1.000e-04, eta: 1 day, 7:07:07, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0426, loss_cls: 0.2282, acc: 92.2625, loss_bbox: 0.2724, loss_mask: 0.2746, loss: 0.8568 +2022-09-21 22:04:22,609 - mmdet - INFO - Epoch [2][6150/7330] lr: 1.000e-04, eta: 1 day, 7:06:47, time: 0.449, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0455, loss_cls: 0.2364, acc: 92.1113, loss_bbox: 0.2692, loss_mask: 0.2728, loss: 0.8694 +2022-09-21 22:04:44,215 - mmdet - INFO - Epoch [2][6200/7330] lr: 1.000e-04, eta: 1 day, 7:06:10, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0402, loss_cls: 0.2336, acc: 92.2070, loss_bbox: 0.2641, loss_mask: 0.2700, loss: 0.8459 +2022-09-21 22:05:06,300 - mmdet - INFO - Epoch [2][6250/7330] lr: 1.000e-04, eta: 1 day, 7:05:43, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0397, loss_cls: 0.2163, acc: 92.7148, loss_bbox: 0.2572, loss_mask: 0.2613, loss: 0.8130 +2022-09-21 22:05:27,805 - mmdet - INFO - Epoch [2][6300/7330] lr: 1.000e-04, eta: 1 day, 7:05:05, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0415, loss_cls: 0.2314, acc: 92.3374, loss_bbox: 0.2654, loss_mask: 0.2666, loss: 0.8425 +2022-09-21 22:05:49,397 - mmdet - INFO - Epoch [2][6350/7330] lr: 1.000e-04, eta: 1 day, 7:04:29, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0423, loss_rpn_bbox: 0.0440, loss_cls: 0.2405, acc: 91.9219, loss_bbox: 0.2800, loss_mask: 0.2729, loss: 0.8798 +2022-09-21 22:06:10,848 - mmdet - INFO - Epoch [2][6400/7330] lr: 1.000e-04, eta: 1 day, 7:03:50, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0421, loss_cls: 0.2455, acc: 91.9019, loss_bbox: 0.2744, loss_mask: 0.2807, loss: 0.8841 +2022-09-21 22:06:32,109 - mmdet - INFO - Epoch [2][6450/7330] lr: 1.000e-04, eta: 1 day, 7:03:07, time: 0.425, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0429, loss_cls: 0.2385, acc: 91.9954, loss_bbox: 0.2781, loss_mask: 0.2763, loss: 0.8788 +2022-09-21 22:06:53,858 - mmdet - INFO - Epoch [2][6500/7330] lr: 1.000e-04, eta: 1 day, 7:02:34, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0427, loss_cls: 0.2344, acc: 92.2590, loss_bbox: 0.2703, loss_mask: 0.2704, loss: 0.8584 +2022-09-21 22:07:15,597 - mmdet - INFO - Epoch [2][6550/7330] lr: 1.000e-04, eta: 1 day, 7:02:01, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0397, loss_cls: 0.2278, acc: 92.4709, loss_bbox: 0.2608, loss_mask: 0.2724, loss: 0.8355 +2022-09-21 22:07:37,667 - mmdet - INFO - Epoch [2][6600/7330] lr: 1.000e-04, eta: 1 day, 7:01:34, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0444, loss_cls: 0.2288, acc: 92.2676, loss_bbox: 0.2685, loss_mask: 0.2716, loss: 0.8575 +2022-09-21 22:07:59,460 - mmdet - INFO - Epoch [2][6650/7330] lr: 1.000e-04, eta: 1 day, 7:01:02, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0420, loss_cls: 0.2226, acc: 92.5723, loss_bbox: 0.2604, loss_mask: 0.2657, loss: 0.8323 +2022-09-21 22:08:21,658 - mmdet - INFO - Epoch [2][6700/7330] lr: 1.000e-04, eta: 1 day, 7:00:37, time: 0.444, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0418, loss_cls: 0.2353, acc: 92.1770, loss_bbox: 0.2670, loss_mask: 0.2743, loss: 0.8579 +2022-09-21 22:08:43,277 - mmdet - INFO - Epoch [2][6750/7330] lr: 1.000e-04, eta: 1 day, 7:00:02, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0379, loss_cls: 0.2161, acc: 92.8179, loss_bbox: 0.2505, loss_mask: 0.2690, loss: 0.8101 +2022-09-21 22:09:05,103 - mmdet - INFO - Epoch [2][6800/7330] lr: 1.000e-04, eta: 1 day, 6:59:30, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0424, loss_cls: 0.2297, acc: 92.3621, loss_bbox: 0.2688, loss_mask: 0.2766, loss: 0.8562 +2022-09-21 22:09:27,439 - mmdet - INFO - Epoch [2][6850/7330] lr: 1.000e-04, eta: 1 day, 6:59:08, time: 0.447, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0449, loss_cls: 0.2362, acc: 92.1580, loss_bbox: 0.2674, loss_mask: 0.2624, loss: 0.8511 +2022-09-21 22:09:49,536 - mmdet - INFO - Epoch [2][6900/7330] lr: 1.000e-04, eta: 1 day, 6:58:41, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0415, loss_cls: 0.2344, acc: 92.2029, loss_bbox: 0.2685, loss_mask: 0.2711, loss: 0.8549 +2022-09-21 22:10:11,481 - mmdet - INFO - Epoch [2][6950/7330] lr: 1.000e-04, eta: 1 day, 6:58:12, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0430, loss_cls: 0.2345, acc: 92.1262, loss_bbox: 0.2718, loss_mask: 0.2774, loss: 0.8660 +2022-09-21 22:10:33,596 - mmdet - INFO - Epoch [2][7000/7330] lr: 1.000e-04, eta: 1 day, 6:57:46, time: 0.442, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0428, loss_cls: 0.2333, acc: 92.0859, loss_bbox: 0.2749, loss_mask: 0.2686, loss: 0.8573 +2022-09-21 22:10:55,327 - mmdet - INFO - Epoch [2][7050/7330] lr: 1.000e-04, eta: 1 day, 6:57:13, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0400, loss_cls: 0.2291, acc: 92.2729, loss_bbox: 0.2666, loss_mask: 0.2733, loss: 0.8486 +2022-09-21 22:11:17,277 - mmdet - INFO - Epoch [2][7100/7330] lr: 1.000e-04, eta: 1 day, 6:56:44, time: 0.439, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0459, loss_cls: 0.2300, acc: 92.1638, loss_bbox: 0.2749, loss_mask: 0.2736, loss: 0.8638 +2022-09-21 22:11:38,891 - mmdet - INFO - Epoch [2][7150/7330] lr: 1.000e-04, eta: 1 day, 6:56:09, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0407, loss_cls: 0.2268, acc: 92.3989, loss_bbox: 0.2673, loss_mask: 0.2713, loss: 0.8447 +2022-09-21 22:12:00,507 - mmdet - INFO - Epoch [2][7200/7330] lr: 1.000e-04, eta: 1 day, 6:55:35, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0419, loss_cls: 0.2188, acc: 92.6228, loss_bbox: 0.2550, loss_mask: 0.2633, loss: 0.8182 +2022-09-21 22:12:22,784 - mmdet - INFO - Epoch [2][7250/7330] lr: 1.000e-04, eta: 1 day, 6:55:12, time: 0.445, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0454, loss_cls: 0.2386, acc: 91.8782, loss_bbox: 0.2805, loss_mask: 0.2776, loss: 0.8859 +2022-09-21 22:12:44,491 - mmdet - INFO - Epoch [2][7300/7330] lr: 1.000e-04, eta: 1 day, 6:54:39, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0435, loss_cls: 0.2304, acc: 92.3179, loss_bbox: 0.2697, loss_mask: 0.2747, loss: 0.8584 +2022-09-21 22:13:06,536 - mmdet - INFO - Saving checkpoint at 2 epochs +2022-09-21 22:15:06,423 - mmdet - INFO - Evaluating bbox... +2022-09-21 22:15:38,185 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.372 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.617 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.400 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.237 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.410 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.488 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.515 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.515 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.515 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.329 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.556 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.661 + +2022-09-21 22:15:38,185 - mmdet - INFO - Evaluating segm... +2022-09-21 22:16:15,956 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.351 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.583 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.368 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.169 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.384 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.531 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.483 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.483 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.483 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.281 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.531 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.655 + +2022-09-21 22:16:16,547 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 22:16:16,548 - mmdet - INFO - Epoch(val) [2][625] bbox_mAP: 0.3720, bbox_mAP_50: 0.6170, bbox_mAP_75: 0.4000, bbox_mAP_s: 0.2370, bbox_mAP_m: 0.4100, bbox_mAP_l: 0.4880, bbox_mAP_copypaste: 0.372 0.617 0.400 0.237 0.410 0.488, segm_mAP: 0.3510, segm_mAP_50: 0.5830, segm_mAP_75: 0.3680, segm_mAP_s: 0.1690, segm_mAP_m: 0.3840, segm_mAP_l: 0.5310, segm_mAP_copypaste: 0.351 0.583 0.368 0.169 0.384 0.531 +2022-09-21 22:18:46,180 - mmdet - INFO - Epoch [3][50/7330] lr: 1.000e-04, eta: 1 day, 7:26:12, time: 2.992, data_time: 2.556, memory: 30699, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0400, loss_cls: 0.2198, acc: 92.4965, loss_bbox: 0.2675, loss_mask: 0.2636, loss: 0.8254 +2022-09-21 22:19:08,465 - mmdet - INFO - Epoch [3][100/7330] lr: 1.000e-04, eta: 1 day, 7:25:42, time: 0.446, data_time: 0.023, memory: 30699, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0376, loss_cls: 0.2111, acc: 92.9036, loss_bbox: 0.2490, loss_mask: 0.2575, loss: 0.7913 +2022-09-21 22:19:30,658 - mmdet - INFO - Epoch [3][150/7330] lr: 1.000e-04, eta: 1 day, 7:25:11, time: 0.444, data_time: 0.023, memory: 30699, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0422, loss_cls: 0.2240, acc: 92.3696, loss_bbox: 0.2646, loss_mask: 0.2627, loss: 0.8315 +2022-09-21 22:19:52,192 - mmdet - INFO - Epoch [3][200/7330] lr: 1.000e-04, eta: 1 day, 7:24:29, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0383, loss_cls: 0.2100, acc: 92.7822, loss_bbox: 0.2570, loss_mask: 0.2577, loss: 0.7963 +2022-09-21 22:20:14,209 - mmdet - INFO - Epoch [3][250/7330] lr: 1.000e-04, eta: 1 day, 7:23:53, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0410, loss_cls: 0.2278, acc: 92.4531, loss_bbox: 0.2638, loss_mask: 0.2647, loss: 0.8343 +2022-09-21 22:20:36,331 - mmdet - INFO - Epoch [3][300/7330] lr: 1.000e-04, eta: 1 day, 7:23:22, time: 0.444, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0418, loss_cls: 0.2199, acc: 92.5718, loss_bbox: 0.2648, loss_mask: 0.2685, loss: 0.8318 +2022-09-21 22:20:57,975 - mmdet - INFO - Epoch [3][350/7330] lr: 1.000e-04, eta: 1 day, 7:22:42, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0397, loss_cls: 0.2213, acc: 92.5461, loss_bbox: 0.2601, loss_mask: 0.2684, loss: 0.8259 +2022-09-21 22:21:20,276 - mmdet - INFO - Epoch [3][400/7330] lr: 1.000e-04, eta: 1 day, 7:22:13, time: 0.446, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0422, loss_cls: 0.2316, acc: 92.1528, loss_bbox: 0.2719, loss_mask: 0.2709, loss: 0.8536 +2022-09-21 22:21:41,860 - mmdet - INFO - Epoch [3][450/7330] lr: 1.000e-04, eta: 1 day, 7:21:32, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0444, loss_cls: 0.2249, acc: 92.3191, loss_bbox: 0.2704, loss_mask: 0.2665, loss: 0.8497 +2022-09-21 22:22:04,331 - mmdet - INFO - Epoch [3][500/7330] lr: 1.000e-04, eta: 1 day, 7:21:05, time: 0.449, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0423, loss_cls: 0.2223, acc: 92.3621, loss_bbox: 0.2650, loss_mask: 0.2594, loss: 0.8255 +2022-09-21 22:22:25,752 - mmdet - INFO - Epoch [3][550/7330] lr: 1.000e-04, eta: 1 day, 7:20:22, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0429, loss_cls: 0.2308, acc: 92.1921, loss_bbox: 0.2698, loss_mask: 0.2678, loss: 0.8515 +2022-09-21 22:22:47,200 - mmdet - INFO - Epoch [3][600/7330] lr: 1.000e-04, eta: 1 day, 7:19:39, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0427, loss_cls: 0.2258, acc: 92.4165, loss_bbox: 0.2636, loss_mask: 0.2723, loss: 0.8437 +2022-09-21 22:23:08,568 - mmdet - INFO - Epoch [3][650/7330] lr: 1.000e-04, eta: 1 day, 7:18:55, time: 0.427, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0414, loss_cls: 0.2199, acc: 92.4477, loss_bbox: 0.2619, loss_mask: 0.2615, loss: 0.8222 +2022-09-21 22:23:30,570 - mmdet - INFO - Epoch [3][700/7330] lr: 1.000e-04, eta: 1 day, 7:18:22, time: 0.440, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0392, loss_cls: 0.2184, acc: 92.6995, loss_bbox: 0.2573, loss_mask: 0.2678, loss: 0.8216 +2022-09-21 22:23:52,521 - mmdet - INFO - Epoch [3][750/7330] lr: 1.000e-04, eta: 1 day, 7:17:47, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0428, loss_cls: 0.2225, acc: 92.4875, loss_bbox: 0.2663, loss_mask: 0.2692, loss: 0.8434 +2022-09-21 22:24:14,266 - mmdet - INFO - Epoch [3][800/7330] lr: 1.000e-04, eta: 1 day, 7:17:10, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0400, loss_cls: 0.2198, acc: 92.6855, loss_bbox: 0.2549, loss_mask: 0.2614, loss: 0.8131 +2022-09-21 22:24:35,435 - mmdet - INFO - Epoch [3][850/7330] lr: 1.000e-04, eta: 1 day, 7:16:23, time: 0.423, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0412, loss_cls: 0.2233, acc: 92.3591, loss_bbox: 0.2643, loss_mask: 0.2662, loss: 0.8325 +2022-09-21 22:24:57,078 - mmdet - INFO - Epoch [3][900/7330] lr: 1.000e-04, eta: 1 day, 7:15:44, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0401, loss_cls: 0.2126, acc: 92.7563, loss_bbox: 0.2582, loss_mask: 0.2591, loss: 0.8075 +2022-09-21 22:25:18,647 - mmdet - INFO - Epoch [3][950/7330] lr: 1.000e-04, eta: 1 day, 7:15:04, time: 0.431, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0420, loss_cls: 0.2228, acc: 92.2681, loss_bbox: 0.2695, loss_mask: 0.2635, loss: 0.8363 +2022-09-21 22:25:40,766 - mmdet - INFO - Epoch [3][1000/7330] lr: 1.000e-04, eta: 1 day, 7:14:32, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0446, loss_cls: 0.2259, acc: 92.3564, loss_bbox: 0.2656, loss_mask: 0.2661, loss: 0.8381 +2022-09-21 22:26:02,371 - mmdet - INFO - Epoch [3][1050/7330] lr: 1.000e-04, eta: 1 day, 7:13:53, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0402, loss_cls: 0.2157, acc: 92.9111, loss_bbox: 0.2514, loss_mask: 0.2632, loss: 0.8064 +2022-09-21 22:26:23,890 - mmdet - INFO - Epoch [3][1100/7330] lr: 1.000e-04, eta: 1 day, 7:13:13, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0415, loss_cls: 0.2211, acc: 92.5774, loss_bbox: 0.2643, loss_mask: 0.2612, loss: 0.8250 +2022-09-21 22:26:45,619 - mmdet - INFO - Epoch [3][1150/7330] lr: 1.000e-04, eta: 1 day, 7:12:36, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0431, loss_cls: 0.2252, acc: 92.3186, loss_bbox: 0.2714, loss_mask: 0.2655, loss: 0.8429 +2022-09-21 22:27:07,354 - mmdet - INFO - Epoch [3][1200/7330] lr: 1.000e-04, eta: 1 day, 7:11:59, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0415, loss_cls: 0.2225, acc: 92.4922, loss_bbox: 0.2625, loss_mask: 0.2681, loss: 0.8335 +2022-09-21 22:27:28,928 - mmdet - INFO - Epoch [3][1250/7330] lr: 1.000e-04, eta: 1 day, 7:11:20, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0444, loss_cls: 0.2254, acc: 92.2605, loss_bbox: 0.2694, loss_mask: 0.2676, loss: 0.8457 +2022-09-21 22:27:51,111 - mmdet - INFO - Epoch [3][1300/7330] lr: 1.000e-04, eta: 1 day, 7:10:50, time: 0.444, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0428, loss_cls: 0.2217, acc: 92.4575, loss_bbox: 0.2669, loss_mask: 0.2619, loss: 0.8295 +2022-09-21 22:28:12,948 - mmdet - INFO - Epoch [3][1350/7330] lr: 1.000e-04, eta: 1 day, 7:10:15, time: 0.436, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0444, loss_cls: 0.2219, acc: 92.3540, loss_bbox: 0.2714, loss_mask: 0.2668, loss: 0.8454 +2022-09-21 22:28:34,934 - mmdet - INFO - Epoch [3][1400/7330] lr: 1.000e-04, eta: 1 day, 7:09:42, time: 0.440, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0437, loss_cls: 0.2272, acc: 92.2498, loss_bbox: 0.2659, loss_mask: 0.2682, loss: 0.8448 +2022-09-21 22:28:56,325 - mmdet - INFO - Epoch [3][1450/7330] lr: 1.000e-04, eta: 1 day, 7:09:00, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0407, loss_cls: 0.2130, acc: 92.7622, loss_bbox: 0.2498, loss_mask: 0.2570, loss: 0.7970 +2022-09-21 22:29:18,075 - mmdet - INFO - Epoch [3][1500/7330] lr: 1.000e-04, eta: 1 day, 7:08:24, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0424, loss_cls: 0.2274, acc: 92.5029, loss_bbox: 0.2623, loss_mask: 0.2655, loss: 0.8369 +2022-09-21 22:29:39,427 - mmdet - INFO - Epoch [3][1550/7330] lr: 1.000e-04, eta: 1 day, 7:07:42, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0407, loss_cls: 0.2211, acc: 92.6023, loss_bbox: 0.2549, loss_mask: 0.2537, loss: 0.8077 +2022-09-21 22:30:00,849 - mmdet - INFO - Epoch [3][1600/7330] lr: 1.000e-04, eta: 1 day, 7:07:01, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0390, loss_cls: 0.2178, acc: 92.6125, loss_bbox: 0.2546, loss_mask: 0.2608, loss: 0.8070 +2022-09-21 22:30:22,247 - mmdet - INFO - Epoch [3][1650/7330] lr: 1.000e-04, eta: 1 day, 7:06:20, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0416, loss_cls: 0.2261, acc: 92.2241, loss_bbox: 0.2702, loss_mask: 0.2616, loss: 0.8344 +2022-09-21 22:30:43,728 - mmdet - INFO - Epoch [3][1700/7330] lr: 1.000e-04, eta: 1 day, 7:05:40, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0419, loss_cls: 0.2235, acc: 92.4143, loss_bbox: 0.2609, loss_mask: 0.2610, loss: 0.8254 +2022-09-21 22:31:05,250 - mmdet - INFO - Epoch [3][1750/7330] lr: 1.000e-04, eta: 1 day, 7:05:01, time: 0.430, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0425, loss_cls: 0.2258, acc: 92.4792, loss_bbox: 0.2643, loss_mask: 0.2623, loss: 0.8341 +2022-09-21 22:31:26,743 - mmdet - INFO - Epoch [3][1800/7330] lr: 1.000e-04, eta: 1 day, 7:04:22, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0419, loss_cls: 0.2237, acc: 92.3323, loss_bbox: 0.2588, loss_mask: 0.2657, loss: 0.8258 +2022-09-21 22:31:48,326 - mmdet - INFO - Epoch [3][1850/7330] lr: 1.000e-04, eta: 1 day, 7:03:44, time: 0.432, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0429, loss_cls: 0.2212, acc: 92.4331, loss_bbox: 0.2690, loss_mask: 0.2724, loss: 0.8421 +2022-09-21 22:32:09,884 - mmdet - INFO - Epoch [3][1900/7330] lr: 1.000e-04, eta: 1 day, 7:03:05, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0408, loss_cls: 0.2262, acc: 92.3220, loss_bbox: 0.2652, loss_mask: 0.2693, loss: 0.8402 +2022-09-21 22:32:31,687 - mmdet - INFO - Epoch [3][1950/7330] lr: 1.000e-04, eta: 1 day, 7:02:31, time: 0.437, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0425, loss_cls: 0.2207, acc: 92.5120, loss_bbox: 0.2628, loss_mask: 0.2611, loss: 0.8247 +2022-09-21 22:32:53,316 - mmdet - INFO - Epoch [3][2000/7330] lr: 1.000e-04, eta: 1 day, 7:01:54, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0422, loss_cls: 0.2192, acc: 92.6738, loss_bbox: 0.2553, loss_mask: 0.2581, loss: 0.8123 +2022-09-21 22:33:15,021 - mmdet - INFO - Epoch [3][2050/7330] lr: 1.000e-04, eta: 1 day, 7:01:18, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0407, loss_cls: 0.2163, acc: 92.6138, loss_bbox: 0.2558, loss_mask: 0.2583, loss: 0.8075 +2022-09-21 22:33:36,733 - mmdet - INFO - Epoch [3][2100/7330] lr: 1.000e-04, eta: 1 day, 7:00:43, time: 0.434, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0426, loss_cls: 0.2285, acc: 92.3145, loss_bbox: 0.2634, loss_mask: 0.2711, loss: 0.8456 +2022-09-21 22:33:58,560 - mmdet - INFO - Epoch [3][2150/7330] lr: 1.000e-04, eta: 1 day, 7:00:09, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0424, loss_cls: 0.2244, acc: 92.3667, loss_bbox: 0.2621, loss_mask: 0.2675, loss: 0.8337 +2022-09-21 22:34:20,160 - mmdet - INFO - Epoch [3][2200/7330] lr: 1.000e-04, eta: 1 day, 6:59:32, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0417, loss_cls: 0.2229, acc: 92.5757, loss_bbox: 0.2613, loss_mask: 0.2776, loss: 0.8418 +2022-09-21 22:34:41,768 - mmdet - INFO - Epoch [3][2250/7330] lr: 1.000e-04, eta: 1 day, 6:58:55, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0393, loss_cls: 0.2169, acc: 92.6511, loss_bbox: 0.2589, loss_mask: 0.2671, loss: 0.8190 +2022-09-21 22:35:03,948 - mmdet - INFO - Epoch [3][2300/7330] lr: 1.000e-04, eta: 1 day, 6:58:27, time: 0.444, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0430, loss_cls: 0.2311, acc: 92.3596, loss_bbox: 0.2663, loss_mask: 0.2598, loss: 0.8416 +2022-09-21 22:35:25,705 - mmdet - INFO - Epoch [3][2350/7330] lr: 1.000e-04, eta: 1 day, 6:57:52, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0394, loss_cls: 0.2171, acc: 92.6023, loss_bbox: 0.2568, loss_mask: 0.2550, loss: 0.8034 +2022-09-21 22:35:47,389 - mmdet - INFO - Epoch [3][2400/7330] lr: 1.000e-04, eta: 1 day, 6:57:17, time: 0.434, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0433, loss_cls: 0.2151, acc: 92.6096, loss_bbox: 0.2623, loss_mask: 0.2551, loss: 0.8140 +2022-09-21 22:36:09,459 - mmdet - INFO - Epoch [3][2450/7330] lr: 1.000e-04, eta: 1 day, 6:56:47, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0424, loss_cls: 0.2269, acc: 92.3970, loss_bbox: 0.2663, loss_mask: 0.2584, loss: 0.8316 +2022-09-21 22:36:31,364 - mmdet - INFO - Epoch [3][2500/7330] lr: 1.000e-04, eta: 1 day, 6:56:15, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0410, loss_cls: 0.2182, acc: 92.5559, loss_bbox: 0.2586, loss_mask: 0.2720, loss: 0.8286 +2022-09-21 22:36:53,209 - mmdet - INFO - Epoch [3][2550/7330] lr: 1.000e-04, eta: 1 day, 6:55:42, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0409, loss_cls: 0.2257, acc: 92.3528, loss_bbox: 0.2616, loss_mask: 0.2607, loss: 0.8261 +2022-09-21 22:37:14,877 - mmdet - INFO - Epoch [3][2600/7330] lr: 1.000e-04, eta: 1 day, 6:55:06, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0433, loss_cls: 0.2315, acc: 92.2488, loss_bbox: 0.2678, loss_mask: 0.2635, loss: 0.8461 +2022-09-21 22:37:36,614 - mmdet - INFO - Epoch [3][2650/7330] lr: 1.000e-04, eta: 1 day, 6:54:32, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0416, loss_cls: 0.2239, acc: 92.5310, loss_bbox: 0.2552, loss_mask: 0.2607, loss: 0.8193 +2022-09-21 22:37:58,509 - mmdet - INFO - Epoch [3][2700/7330] lr: 1.000e-04, eta: 1 day, 6:54:00, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0397, loss_cls: 0.2186, acc: 92.5908, loss_bbox: 0.2593, loss_mask: 0.2635, loss: 0.8149 +2022-09-21 22:38:20,173 - mmdet - INFO - Epoch [3][2750/7330] lr: 1.000e-04, eta: 1 day, 6:53:25, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0383, loss_cls: 0.2228, acc: 92.6143, loss_bbox: 0.2574, loss_mask: 0.2574, loss: 0.8115 +2022-09-21 22:38:41,694 - mmdet - INFO - Epoch [3][2800/7330] lr: 1.000e-04, eta: 1 day, 6:52:47, time: 0.430, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0379, loss_cls: 0.2061, acc: 93.0110, loss_bbox: 0.2449, loss_mask: 0.2557, loss: 0.7804 +2022-09-21 22:39:03,371 - mmdet - INFO - Epoch [3][2850/7330] lr: 1.000e-04, eta: 1 day, 6:52:12, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0387, loss_cls: 0.2213, acc: 92.5715, loss_bbox: 0.2583, loss_mask: 0.2564, loss: 0.8086 +2022-09-21 22:39:25,140 - mmdet - INFO - Epoch [3][2900/7330] lr: 1.000e-04, eta: 1 day, 6:51:39, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0393, loss_cls: 0.2205, acc: 92.4946, loss_bbox: 0.2561, loss_mask: 0.2680, loss: 0.8179 +2022-09-21 22:39:46,912 - mmdet - INFO - Epoch [3][2950/7330] lr: 1.000e-04, eta: 1 day, 6:51:05, time: 0.435, data_time: 0.023, memory: 30699, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0409, loss_cls: 0.2200, acc: 92.4927, loss_bbox: 0.2614, loss_mask: 0.2624, loss: 0.8217 +2022-09-21 22:40:08,734 - mmdet - INFO - Epoch [3][3000/7330] lr: 1.000e-04, eta: 1 day, 6:50:33, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0429, loss_cls: 0.2331, acc: 92.0845, loss_bbox: 0.2740, loss_mask: 0.2670, loss: 0.8559 +2022-09-21 22:40:30,257 - mmdet - INFO - Epoch [3][3050/7330] lr: 1.000e-04, eta: 1 day, 6:49:56, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0428, loss_cls: 0.2352, acc: 92.1523, loss_bbox: 0.2711, loss_mask: 0.2693, loss: 0.8572 +2022-09-21 22:40:51,731 - mmdet - INFO - Epoch [3][3100/7330] lr: 1.000e-04, eta: 1 day, 6:49:18, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0402, loss_cls: 0.2278, acc: 92.3362, loss_bbox: 0.2619, loss_mask: 0.2662, loss: 0.8350 +2022-09-21 22:41:13,287 - mmdet - INFO - Epoch [3][3150/7330] lr: 1.000e-04, eta: 1 day, 6:48:42, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0421, loss_cls: 0.2255, acc: 92.3203, loss_bbox: 0.2613, loss_mask: 0.2623, loss: 0.8302 +2022-09-21 22:41:35,203 - mmdet - INFO - Epoch [3][3200/7330] lr: 1.000e-04, eta: 1 day, 6:48:11, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0436, loss_cls: 0.2283, acc: 92.3474, loss_bbox: 0.2627, loss_mask: 0.2624, loss: 0.8364 +2022-09-21 22:41:56,697 - mmdet - INFO - Epoch [3][3250/7330] lr: 1.000e-04, eta: 1 day, 6:47:34, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0397, loss_cls: 0.2166, acc: 92.6956, loss_bbox: 0.2561, loss_mask: 0.2578, loss: 0.8068 +2022-09-21 22:42:18,654 - mmdet - INFO - Epoch [3][3300/7330] lr: 1.000e-04, eta: 1 day, 6:47:04, time: 0.439, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0428, loss_cls: 0.2248, acc: 92.5164, loss_bbox: 0.2649, loss_mask: 0.2634, loss: 0.8354 +2022-09-21 22:42:40,777 - mmdet - INFO - Epoch [3][3350/7330] lr: 1.000e-04, eta: 1 day, 6:46:36, time: 0.442, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0463, loss_cls: 0.2351, acc: 91.8757, loss_bbox: 0.2790, loss_mask: 0.2647, loss: 0.8650 +2022-09-21 22:43:02,890 - mmdet - INFO - Epoch [3][3400/7330] lr: 1.000e-04, eta: 1 day, 6:46:08, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0423, loss_cls: 0.2237, acc: 92.3857, loss_bbox: 0.2610, loss_mask: 0.2662, loss: 0.8294 +2022-09-21 22:43:24,214 - mmdet - INFO - Epoch [3][3450/7330] lr: 1.000e-04, eta: 1 day, 6:45:29, time: 0.426, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0405, loss_cls: 0.2167, acc: 92.6472, loss_bbox: 0.2609, loss_mask: 0.2666, loss: 0.8208 +2022-09-21 22:43:45,752 - mmdet - INFO - Epoch [3][3500/7330] lr: 1.000e-04, eta: 1 day, 6:44:53, time: 0.431, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0428, loss_cls: 0.2291, acc: 92.3494, loss_bbox: 0.2624, loss_mask: 0.2633, loss: 0.8353 +2022-09-21 22:44:07,077 - mmdet - INFO - Epoch [3][3550/7330] lr: 1.000e-04, eta: 1 day, 6:44:14, time: 0.426, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0399, loss_cls: 0.2165, acc: 92.7024, loss_bbox: 0.2508, loss_mask: 0.2598, loss: 0.8014 +2022-09-21 22:44:28,941 - mmdet - INFO - Epoch [3][3600/7330] lr: 1.000e-04, eta: 1 day, 6:43:43, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0402, loss_cls: 0.2263, acc: 92.3132, loss_bbox: 0.2629, loss_mask: 0.2577, loss: 0.8223 +2022-09-21 22:44:50,698 - mmdet - INFO - Epoch [3][3650/7330] lr: 1.000e-04, eta: 1 day, 6:43:10, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0422, loss_cls: 0.2325, acc: 92.2476, loss_bbox: 0.2742, loss_mask: 0.2643, loss: 0.8499 +2022-09-21 22:45:12,336 - mmdet - INFO - Epoch [3][3700/7330] lr: 1.000e-04, eta: 1 day, 6:42:36, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0400, loss_cls: 0.2185, acc: 92.7822, loss_bbox: 0.2550, loss_mask: 0.2560, loss: 0.8071 +2022-09-21 22:45:34,176 - mmdet - INFO - Epoch [3][3750/7330] lr: 1.000e-04, eta: 1 day, 6:42:04, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0422, loss_cls: 0.2234, acc: 92.5225, loss_bbox: 0.2648, loss_mask: 0.2657, loss: 0.8339 +2022-09-21 22:45:55,942 - mmdet - INFO - Epoch [3][3800/7330] lr: 1.000e-04, eta: 1 day, 6:41:32, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0416, loss_cls: 0.2263, acc: 92.5056, loss_bbox: 0.2592, loss_mask: 0.2628, loss: 0.8270 +2022-09-21 22:46:17,467 - mmdet - INFO - Epoch [3][3850/7330] lr: 1.000e-04, eta: 1 day, 6:40:56, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0389, loss_cls: 0.2195, acc: 92.7332, loss_bbox: 0.2538, loss_mask: 0.2561, loss: 0.8037 +2022-09-21 22:46:38,995 - mmdet - INFO - Epoch [3][3900/7330] lr: 1.000e-04, eta: 1 day, 6:40:20, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0405, loss_cls: 0.2285, acc: 92.3528, loss_bbox: 0.2613, loss_mask: 0.2664, loss: 0.8340 +2022-09-21 22:47:00,726 - mmdet - INFO - Epoch [3][3950/7330] lr: 1.000e-04, eta: 1 day, 6:39:48, time: 0.435, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0392, loss_cls: 0.2257, acc: 92.4595, loss_bbox: 0.2629, loss_mask: 0.2554, loss: 0.8180 +2022-09-21 22:47:22,518 - mmdet - INFO - Epoch [3][4000/7330] lr: 1.000e-04, eta: 1 day, 6:39:16, time: 0.436, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0399, loss_cls: 0.2128, acc: 92.7173, loss_bbox: 0.2540, loss_mask: 0.2593, loss: 0.8036 +2022-09-21 22:47:43,911 - mmdet - INFO - Epoch [3][4050/7330] lr: 1.000e-04, eta: 1 day, 6:38:39, time: 0.428, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0405, loss_rpn_bbox: 0.0430, loss_cls: 0.2186, acc: 92.6038, loss_bbox: 0.2566, loss_mask: 0.2645, loss: 0.8232 +2022-09-21 22:48:05,449 - mmdet - INFO - Epoch [3][4100/7330] lr: 1.000e-04, eta: 1 day, 6:38:04, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0399, loss_cls: 0.2087, acc: 92.9097, loss_bbox: 0.2462, loss_mask: 0.2621, loss: 0.7946 +2022-09-21 22:48:27,298 - mmdet - INFO - Epoch [3][4150/7330] lr: 1.000e-04, eta: 1 day, 6:37:33, time: 0.437, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0414, loss_cls: 0.2143, acc: 92.7634, loss_bbox: 0.2466, loss_mask: 0.2643, loss: 0.8044 +2022-09-21 22:48:49,223 - mmdet - INFO - Epoch [3][4200/7330] lr: 1.000e-04, eta: 1 day, 6:37:03, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0429, loss_cls: 0.2351, acc: 92.0627, loss_bbox: 0.2713, loss_mask: 0.2681, loss: 0.8565 +2022-09-21 22:49:10,680 - mmdet - INFO - Epoch [3][4250/7330] lr: 1.000e-04, eta: 1 day, 6:36:27, time: 0.430, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0382, loss_cls: 0.2119, acc: 92.7798, loss_bbox: 0.2513, loss_mask: 0.2586, loss: 0.7954 +2022-09-21 22:49:32,206 - mmdet - INFO - Epoch [3][4300/7330] lr: 1.000e-04, eta: 1 day, 6:35:52, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0386, loss_cls: 0.2165, acc: 92.6357, loss_bbox: 0.2562, loss_mask: 0.2606, loss: 0.8047 +2022-09-21 22:49:53,907 - mmdet - INFO - Epoch [3][4350/7330] lr: 1.000e-04, eta: 1 day, 6:35:20, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0384, loss_cls: 0.2187, acc: 92.6387, loss_bbox: 0.2541, loss_mask: 0.2564, loss: 0.8041 +2022-09-21 22:50:16,143 - mmdet - INFO - Epoch [3][4400/7330] lr: 1.000e-04, eta: 1 day, 6:34:54, time: 0.445, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0401, loss_cls: 0.2189, acc: 92.5535, loss_bbox: 0.2553, loss_mask: 0.2590, loss: 0.8090 +2022-09-21 22:50:37,358 - mmdet - INFO - Epoch [3][4450/7330] lr: 1.000e-04, eta: 1 day, 6:34:15, time: 0.424, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0382, loss_cls: 0.2128, acc: 92.9402, loss_bbox: 0.2448, loss_mask: 0.2635, loss: 0.7956 +2022-09-21 22:50:58,806 - mmdet - INFO - Epoch [3][4500/7330] lr: 1.000e-04, eta: 1 day, 6:33:39, time: 0.429, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0414, loss_cls: 0.2263, acc: 92.2778, loss_bbox: 0.2656, loss_mask: 0.2584, loss: 0.8280 +2022-09-21 22:51:20,275 - mmdet - INFO - Epoch [3][4550/7330] lr: 1.000e-04, eta: 1 day, 6:33:04, time: 0.429, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0435, loss_cls: 0.2297, acc: 92.3206, loss_bbox: 0.2681, loss_mask: 0.2648, loss: 0.8453 +2022-09-21 22:51:41,658 - mmdet - INFO - Epoch [3][4600/7330] lr: 1.000e-04, eta: 1 day, 6:32:27, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0396, loss_cls: 0.2095, acc: 92.7698, loss_bbox: 0.2501, loss_mask: 0.2569, loss: 0.7895 +2022-09-21 22:52:02,917 - mmdet - INFO - Epoch [3][4650/7330] lr: 1.000e-04, eta: 1 day, 6:31:50, time: 0.426, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0420, loss_cls: 0.2162, acc: 92.7051, loss_bbox: 0.2548, loss_mask: 0.2552, loss: 0.8034 +2022-09-21 22:52:24,190 - mmdet - INFO - Epoch [3][4700/7330] lr: 1.000e-04, eta: 1 day, 6:31:12, time: 0.425, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0380, loss_cls: 0.2169, acc: 92.7112, loss_bbox: 0.2518, loss_mask: 0.2664, loss: 0.8124 +2022-09-21 22:52:45,726 - mmdet - INFO - Epoch [3][4750/7330] lr: 1.000e-04, eta: 1 day, 6:30:38, time: 0.431, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0412, loss_cls: 0.2270, acc: 92.2830, loss_bbox: 0.2660, loss_mask: 0.2601, loss: 0.8346 +2022-09-21 22:53:07,010 - mmdet - INFO - Epoch [3][4800/7330] lr: 1.000e-04, eta: 1 day, 6:30:01, time: 0.426, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0399, loss_cls: 0.2153, acc: 92.6841, loss_bbox: 0.2543, loss_mask: 0.2618, loss: 0.8081 +2022-09-21 22:53:28,643 - mmdet - INFO - Epoch [3][4850/7330] lr: 1.000e-04, eta: 1 day, 6:29:28, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0407, loss_cls: 0.2148, acc: 92.6729, loss_bbox: 0.2545, loss_mask: 0.2530, loss: 0.7998 +2022-09-21 22:53:50,455 - mmdet - INFO - Epoch [3][4900/7330] lr: 1.000e-04, eta: 1 day, 6:28:57, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0394, loss_cls: 0.2199, acc: 92.5735, loss_bbox: 0.2505, loss_mask: 0.2601, loss: 0.8043 +2022-09-21 22:54:11,907 - mmdet - INFO - Epoch [3][4950/7330] lr: 1.000e-04, eta: 1 day, 6:28:22, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0407, loss_cls: 0.2162, acc: 92.7358, loss_bbox: 0.2529, loss_mask: 0.2576, loss: 0.8032 +2022-09-21 22:54:33,944 - mmdet - INFO - Epoch [3][5000/7330] lr: 1.000e-04, eta: 1 day, 6:27:55, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0418, loss_cls: 0.2245, acc: 92.3430, loss_bbox: 0.2608, loss_mask: 0.2580, loss: 0.8207 +2022-09-21 22:54:55,960 - mmdet - INFO - Epoch [3][5050/7330] lr: 1.000e-04, eta: 1 day, 6:27:27, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0425, loss_cls: 0.2223, acc: 92.5078, loss_bbox: 0.2615, loss_mask: 0.2545, loss: 0.8195 +2022-09-21 22:55:17,534 - mmdet - INFO - Epoch [3][5100/7330] lr: 1.000e-04, eta: 1 day, 6:26:54, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0412, loss_cls: 0.2254, acc: 92.2744, loss_bbox: 0.2627, loss_mask: 0.2569, loss: 0.8219 +2022-09-21 22:55:38,939 - mmdet - INFO - Epoch [3][5150/7330] lr: 1.000e-04, eta: 1 day, 6:26:18, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0386, loss_cls: 0.2171, acc: 92.7017, loss_bbox: 0.2501, loss_mask: 0.2599, loss: 0.8029 +2022-09-21 22:56:00,901 - mmdet - INFO - Epoch [3][5200/7330] lr: 1.000e-04, eta: 1 day, 6:25:50, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0383, loss_cls: 0.2191, acc: 92.4302, loss_bbox: 0.2655, loss_mask: 0.2622, loss: 0.8190 +2022-09-21 22:56:22,637 - mmdet - INFO - Epoch [3][5250/7330] lr: 1.000e-04, eta: 1 day, 6:25:19, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0424, loss_cls: 0.2257, acc: 92.3777, loss_bbox: 0.2588, loss_mask: 0.2634, loss: 0.8276 +2022-09-21 22:56:44,351 - mmdet - INFO - Epoch [3][5300/7330] lr: 1.000e-04, eta: 1 day, 6:24:47, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0395, loss_cls: 0.2190, acc: 92.7295, loss_bbox: 0.2506, loss_mask: 0.2578, loss: 0.8002 +2022-09-21 22:57:05,579 - mmdet - INFO - Epoch [3][5350/7330] lr: 1.000e-04, eta: 1 day, 6:24:10, time: 0.425, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0408, loss_cls: 0.2256, acc: 92.3000, loss_bbox: 0.2587, loss_mask: 0.2555, loss: 0.8168 +2022-09-21 22:57:27,139 - mmdet - INFO - Epoch [3][5400/7330] lr: 1.000e-04, eta: 1 day, 6:23:37, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0413, loss_cls: 0.2132, acc: 92.6428, loss_bbox: 0.2574, loss_mask: 0.2550, loss: 0.8034 +2022-09-21 22:57:48,409 - mmdet - INFO - Epoch [3][5450/7330] lr: 1.000e-04, eta: 1 day, 6:23:00, time: 0.426, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0383, loss_cls: 0.2134, acc: 92.7192, loss_bbox: 0.2525, loss_mask: 0.2624, loss: 0.8029 +2022-09-21 22:58:10,262 - mmdet - INFO - Epoch [3][5500/7330] lr: 1.000e-04, eta: 1 day, 6:22:31, time: 0.437, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0385, loss_cls: 0.2130, acc: 92.9094, loss_bbox: 0.2436, loss_mask: 0.2576, loss: 0.7914 +2022-09-21 22:58:31,803 - mmdet - INFO - Epoch [3][5550/7330] lr: 1.000e-04, eta: 1 day, 6:21:57, time: 0.431, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0399, loss_cls: 0.2118, acc: 92.7576, loss_bbox: 0.2512, loss_mask: 0.2517, loss: 0.7906 +2022-09-21 22:58:53,461 - mmdet - INFO - Epoch [3][5600/7330] lr: 1.000e-04, eta: 1 day, 6:21:26, time: 0.433, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0425, loss_cls: 0.2218, acc: 92.4587, loss_bbox: 0.2538, loss_mask: 0.2655, loss: 0.8236 +2022-09-21 22:59:15,097 - mmdet - INFO - Epoch [3][5650/7330] lr: 1.000e-04, eta: 1 day, 6:20:54, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0438, loss_cls: 0.2271, acc: 92.3503, loss_bbox: 0.2634, loss_mask: 0.2624, loss: 0.8354 +2022-09-21 22:59:37,341 - mmdet - INFO - Epoch [3][5700/7330] lr: 1.000e-04, eta: 1 day, 6:20:29, time: 0.445, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0427, loss_cls: 0.2326, acc: 92.1592, loss_bbox: 0.2687, loss_mask: 0.2633, loss: 0.8461 +2022-09-21 22:59:59,073 - mmdet - INFO - Epoch [3][5750/7330] lr: 1.000e-04, eta: 1 day, 6:19:59, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0417, loss_cls: 0.2199, acc: 92.5430, loss_bbox: 0.2566, loss_mask: 0.2540, loss: 0.8082 +2022-09-21 23:00:20,368 - mmdet - INFO - Epoch [3][5800/7330] lr: 1.000e-04, eta: 1 day, 6:19:23, time: 0.426, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0366, loss_cls: 0.2134, acc: 92.7866, loss_bbox: 0.2474, loss_mask: 0.2560, loss: 0.7864 +2022-09-21 23:00:41,457 - mmdet - INFO - Epoch [3][5850/7330] lr: 1.000e-04, eta: 1 day, 6:18:44, time: 0.422, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0397, loss_cls: 0.2142, acc: 92.6072, loss_bbox: 0.2563, loss_mask: 0.2560, loss: 0.8005 +2022-09-21 23:01:03,001 - mmdet - INFO - Epoch [3][5900/7330] lr: 1.000e-04, eta: 1 day, 6:18:12, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0417, loss_cls: 0.2216, acc: 92.5081, loss_bbox: 0.2585, loss_mask: 0.2601, loss: 0.8168 +2022-09-21 23:01:24,674 - mmdet - INFO - Epoch [3][5950/7330] lr: 1.000e-04, eta: 1 day, 6:17:40, time: 0.433, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0400, loss_cls: 0.2172, acc: 92.5464, loss_bbox: 0.2577, loss_mask: 0.2564, loss: 0.8045 +2022-09-21 23:01:46,139 - mmdet - INFO - Epoch [3][6000/7330] lr: 1.000e-04, eta: 1 day, 6:17:07, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0381, loss_cls: 0.2092, acc: 93.0237, loss_bbox: 0.2328, loss_mask: 0.2588, loss: 0.7721 +2022-09-21 23:02:07,746 - mmdet - INFO - Epoch [3][6050/7330] lr: 1.000e-04, eta: 1 day, 6:16:35, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0415, loss_cls: 0.2186, acc: 92.6328, loss_bbox: 0.2577, loss_mask: 0.2581, loss: 0.8122 +2022-09-21 23:02:29,407 - mmdet - INFO - Epoch [3][6100/7330] lr: 1.000e-04, eta: 1 day, 6:16:04, time: 0.433, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0385, loss_cls: 0.2117, acc: 92.8962, loss_bbox: 0.2466, loss_mask: 0.2629, loss: 0.7939 +2022-09-21 23:02:51,068 - mmdet - INFO - Epoch [3][6150/7330] lr: 1.000e-04, eta: 1 day, 6:15:33, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0418, loss_cls: 0.2200, acc: 92.4565, loss_bbox: 0.2581, loss_mask: 0.2539, loss: 0.8102 +2022-09-21 23:03:12,866 - mmdet - INFO - Epoch [3][6200/7330] lr: 1.000e-04, eta: 1 day, 6:15:03, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0381, loss_cls: 0.2205, acc: 92.6799, loss_bbox: 0.2564, loss_mask: 0.2568, loss: 0.8065 +2022-09-21 23:03:34,369 - mmdet - INFO - Epoch [3][6250/7330] lr: 1.000e-04, eta: 1 day, 6:14:30, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0390, loss_cls: 0.2077, acc: 93.0483, loss_bbox: 0.2407, loss_mask: 0.2540, loss: 0.7756 +2022-09-21 23:03:55,683 - mmdet - INFO - Epoch [3][6300/7330] lr: 1.000e-04, eta: 1 day, 6:13:55, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0427, loss_cls: 0.2192, acc: 92.5315, loss_bbox: 0.2591, loss_mask: 0.2620, loss: 0.8224 +2022-09-21 23:04:17,169 - mmdet - INFO - Epoch [3][6350/7330] lr: 1.000e-04, eta: 1 day, 6:13:22, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0373, loss_cls: 0.2147, acc: 92.8594, loss_bbox: 0.2497, loss_mask: 0.2591, loss: 0.7965 +2022-09-21 23:04:38,844 - mmdet - INFO - Epoch [3][6400/7330] lr: 1.000e-04, eta: 1 day, 6:12:51, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0399, loss_cls: 0.2297, acc: 92.2307, loss_bbox: 0.2623, loss_mask: 0.2576, loss: 0.8253 +2022-09-21 23:05:00,362 - mmdet - INFO - Epoch [3][6450/7330] lr: 1.000e-04, eta: 1 day, 6:12:19, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0391, loss_cls: 0.2219, acc: 92.4780, loss_bbox: 0.2548, loss_mask: 0.2598, loss: 0.8111 +2022-09-21 23:05:22,281 - mmdet - INFO - Epoch [3][6500/7330] lr: 1.000e-04, eta: 1 day, 6:11:51, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0419, loss_cls: 0.2253, acc: 92.4004, loss_bbox: 0.2605, loss_mask: 0.2628, loss: 0.8278 +2022-09-21 23:05:43,531 - mmdet - INFO - Epoch [3][6550/7330] lr: 1.000e-04, eta: 1 day, 6:11:15, time: 0.425, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0389, loss_cls: 0.2129, acc: 92.9175, loss_bbox: 0.2416, loss_mask: 0.2507, loss: 0.7809 +2022-09-21 23:06:05,223 - mmdet - INFO - Epoch [3][6600/7330] lr: 1.000e-04, eta: 1 day, 6:10:45, time: 0.434, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0418, loss_cls: 0.2304, acc: 92.2148, loss_bbox: 0.2701, loss_mask: 0.2623, loss: 0.8427 +2022-09-21 23:06:26,863 - mmdet - INFO - Epoch [3][6650/7330] lr: 1.000e-04, eta: 1 day, 6:10:14, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0409, loss_cls: 0.2146, acc: 92.6235, loss_bbox: 0.2509, loss_mask: 0.2546, loss: 0.7990 +2022-09-21 23:06:48,796 - mmdet - INFO - Epoch [3][6700/7330] lr: 1.000e-04, eta: 1 day, 6:09:47, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0413, loss_cls: 0.2092, acc: 92.7761, loss_bbox: 0.2482, loss_mask: 0.2602, loss: 0.7941 +2022-09-21 23:07:10,498 - mmdet - INFO - Epoch [3][6750/7330] lr: 1.000e-04, eta: 1 day, 6:09:16, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0417, loss_cls: 0.2195, acc: 92.5728, loss_bbox: 0.2598, loss_mask: 0.2560, loss: 0.8159 +2022-09-21 23:07:32,118 - mmdet - INFO - Epoch [3][6800/7330] lr: 1.000e-04, eta: 1 day, 6:08:45, time: 0.432, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0404, loss_cls: 0.2054, acc: 92.8967, loss_bbox: 0.2454, loss_mask: 0.2577, loss: 0.7838 +2022-09-21 23:07:53,577 - mmdet - INFO - Epoch [3][6850/7330] lr: 1.000e-04, eta: 1 day, 6:08:12, time: 0.428, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0398, loss_cls: 0.2137, acc: 92.6318, loss_bbox: 0.2561, loss_mask: 0.2507, loss: 0.7947 +2022-09-21 23:08:14,826 - mmdet - INFO - Epoch [3][6900/7330] lr: 1.000e-04, eta: 1 day, 6:07:37, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0402, loss_cls: 0.2247, acc: 92.5413, loss_bbox: 0.2570, loss_mask: 0.2570, loss: 0.8154 +2022-09-21 23:08:36,818 - mmdet - INFO - Epoch [3][6950/7330] lr: 1.000e-04, eta: 1 day, 6:07:11, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0397, loss_cls: 0.2225, acc: 92.4900, loss_bbox: 0.2564, loss_mask: 0.2621, loss: 0.8145 +2022-09-21 23:08:58,368 - mmdet - INFO - Epoch [3][7000/7330] lr: 1.000e-04, eta: 1 day, 6:06:38, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0385, loss_cls: 0.2100, acc: 92.8704, loss_bbox: 0.2427, loss_mask: 0.2524, loss: 0.7776 +2022-09-21 23:09:20,060 - mmdet - INFO - Epoch [3][7050/7330] lr: 1.000e-04, eta: 1 day, 6:06:09, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0406, loss_cls: 0.2176, acc: 92.5818, loss_bbox: 0.2509, loss_mask: 0.2532, loss: 0.7974 +2022-09-21 23:09:41,951 - mmdet - INFO - Epoch [3][7100/7330] lr: 1.000e-04, eta: 1 day, 6:05:41, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0386, loss_cls: 0.2074, acc: 92.8450, loss_bbox: 0.2442, loss_mask: 0.2593, loss: 0.7856 +2022-09-21 23:10:03,345 - mmdet - INFO - Epoch [3][7150/7330] lr: 1.000e-04, eta: 1 day, 6:05:08, time: 0.428, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0426, loss_cls: 0.2191, acc: 92.5471, loss_bbox: 0.2581, loss_mask: 0.2563, loss: 0.8153 +2022-09-21 23:10:24,990 - mmdet - INFO - Epoch [3][7200/7330] lr: 1.000e-04, eta: 1 day, 6:04:38, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0376, loss_cls: 0.2132, acc: 92.7598, loss_bbox: 0.2419, loss_mask: 0.2522, loss: 0.7768 +2022-09-21 23:10:46,733 - mmdet - INFO - Epoch [3][7250/7330] lr: 1.000e-04, eta: 1 day, 6:04:08, time: 0.435, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0390, loss_cls: 0.2136, acc: 92.7393, loss_bbox: 0.2477, loss_mask: 0.2506, loss: 0.7838 +2022-09-21 23:11:08,592 - mmdet - INFO - Epoch [3][7300/7330] lr: 1.000e-04, eta: 1 day, 6:03:40, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0425, loss_cls: 0.2267, acc: 92.2366, loss_bbox: 0.2640, loss_mask: 0.2609, loss: 0.8304 +2022-09-21 23:11:30,843 - mmdet - INFO - Saving checkpoint at 3 epochs +2022-09-21 23:13:20,829 - mmdet - INFO - Evaluating bbox... +2022-09-21 23:13:53,258 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.401 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.642 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.440 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.260 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.439 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.526 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.539 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.539 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.539 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.359 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.581 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 + +2022-09-21 23:13:53,258 - mmdet - INFO - Evaluating segm... +2022-09-21 23:14:29,312 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.370 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.603 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.393 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.189 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.407 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.557 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.497 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.497 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.497 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.304 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.672 + +2022-09-21 23:14:29,993 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-21 23:14:29,995 - mmdet - INFO - Epoch(val) [3][625] bbox_mAP: 0.4010, bbox_mAP_50: 0.6420, bbox_mAP_75: 0.4400, bbox_mAP_s: 0.2600, bbox_mAP_m: 0.4390, bbox_mAP_l: 0.5260, bbox_mAP_copypaste: 0.401 0.642 0.440 0.260 0.439 0.526, segm_mAP: 0.3700, segm_mAP_50: 0.6030, segm_mAP_75: 0.3930, segm_mAP_s: 0.1890, segm_mAP_m: 0.4070, segm_mAP_l: 0.5570, segm_mAP_copypaste: 0.370 0.603 0.393 0.189 0.407 0.557 +2022-09-21 23:17:15,316 - mmdet - INFO - Epoch [4][50/7330] lr: 1.000e-04, eta: 1 day, 6:26:45, time: 3.304, data_time: 2.860, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0386, loss_cls: 0.2058, acc: 92.9768, loss_bbox: 0.2459, loss_mask: 0.2526, loss: 0.7773 +2022-09-21 23:17:37,386 - mmdet - INFO - Epoch [4][100/7330] lr: 1.000e-04, eta: 1 day, 6:26:15, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0387, loss_cls: 0.2119, acc: 92.8489, loss_bbox: 0.2482, loss_mask: 0.2544, loss: 0.7880 +2022-09-21 23:17:59,202 - mmdet - INFO - Epoch [4][150/7330] lr: 1.000e-04, eta: 1 day, 6:25:43, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0385, loss_cls: 0.2080, acc: 92.8904, loss_bbox: 0.2447, loss_mask: 0.2482, loss: 0.7735 +2022-09-21 23:18:20,916 - mmdet - INFO - Epoch [4][200/7330] lr: 1.000e-04, eta: 1 day, 6:25:11, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0388, loss_cls: 0.2023, acc: 92.9707, loss_bbox: 0.2464, loss_mask: 0.2534, loss: 0.7725 +2022-09-21 23:18:42,308 - mmdet - INFO - Epoch [4][250/7330] lr: 1.000e-04, eta: 1 day, 6:24:34, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0390, loss_cls: 0.2135, acc: 92.7747, loss_bbox: 0.2524, loss_mask: 0.2535, loss: 0.7905 +2022-09-21 23:19:03,645 - mmdet - INFO - Epoch [4][300/7330] lr: 1.000e-04, eta: 1 day, 6:23:57, time: 0.427, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0392, loss_cls: 0.2160, acc: 92.6602, loss_bbox: 0.2584, loss_mask: 0.2549, loss: 0.8042 +2022-09-21 23:19:25,259 - mmdet - INFO - Epoch [4][350/7330] lr: 1.000e-04, eta: 1 day, 6:23:23, time: 0.432, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0382, loss_cls: 0.2128, acc: 92.6287, loss_bbox: 0.2566, loss_mask: 0.2541, loss: 0.7972 +2022-09-21 23:19:46,864 - mmdet - INFO - Epoch [4][400/7330] lr: 1.000e-04, eta: 1 day, 6:22:49, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0377, loss_cls: 0.2065, acc: 92.8694, loss_bbox: 0.2492, loss_mask: 0.2513, loss: 0.7768 +2022-09-21 23:20:08,599 - mmdet - INFO - Epoch [4][450/7330] lr: 1.000e-04, eta: 1 day, 6:22:17, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0399, loss_cls: 0.2166, acc: 92.6223, loss_bbox: 0.2609, loss_mask: 0.2580, loss: 0.8098 +2022-09-21 23:20:30,484 - mmdet - INFO - Epoch [4][500/7330] lr: 1.000e-04, eta: 1 day, 6:21:46, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0427, loss_cls: 0.2239, acc: 92.2134, loss_bbox: 0.2716, loss_mask: 0.2561, loss: 0.8296 +2022-09-21 23:20:51,762 - mmdet - INFO - Epoch [4][550/7330] lr: 1.000e-04, eta: 1 day, 6:21:09, time: 0.425, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0382, loss_cls: 0.2093, acc: 92.8269, loss_bbox: 0.2463, loss_mask: 0.2542, loss: 0.7781 +2022-09-21 23:21:13,242 - mmdet - INFO - Epoch [4][600/7330] lr: 1.000e-04, eta: 1 day, 6:20:34, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0386, loss_cls: 0.2093, acc: 92.9551, loss_bbox: 0.2428, loss_mask: 0.2553, loss: 0.7810 +2022-09-21 23:21:34,854 - mmdet - INFO - Epoch [4][650/7330] lr: 1.000e-04, eta: 1 day, 6:20:01, time: 0.432, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0389, loss_cls: 0.2141, acc: 92.7139, loss_bbox: 0.2485, loss_mask: 0.2443, loss: 0.7795 +2022-09-21 23:21:56,925 - mmdet - INFO - Epoch [4][700/7330] lr: 1.000e-04, eta: 1 day, 6:19:32, time: 0.441, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0377, loss_cls: 0.2108, acc: 92.8855, loss_bbox: 0.2481, loss_mask: 0.2537, loss: 0.7832 +2022-09-21 23:22:19,364 - mmdet - INFO - Epoch [4][750/7330] lr: 1.000e-04, eta: 1 day, 6:19:07, time: 0.449, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0408, loss_cls: 0.2255, acc: 92.1936, loss_bbox: 0.2661, loss_mask: 0.2531, loss: 0.8213 +2022-09-21 23:22:40,962 - mmdet - INFO - Epoch [4][800/7330] lr: 1.000e-04, eta: 1 day, 6:18:34, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0399, loss_cls: 0.2174, acc: 92.5178, loss_bbox: 0.2548, loss_mask: 0.2546, loss: 0.7987 +2022-09-21 23:23:02,696 - mmdet - INFO - Epoch [4][850/7330] lr: 1.000e-04, eta: 1 day, 6:18:01, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0428, loss_cls: 0.2195, acc: 92.4250, loss_bbox: 0.2636, loss_mask: 0.2614, loss: 0.8241 +2022-09-21 23:23:24,097 - mmdet - INFO - Epoch [4][900/7330] lr: 1.000e-04, eta: 1 day, 6:17:26, time: 0.427, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0367, loss_cls: 0.2159, acc: 92.5627, loss_bbox: 0.2560, loss_mask: 0.2519, loss: 0.7929 +2022-09-21 23:23:45,824 - mmdet - INFO - Epoch [4][950/7330] lr: 1.000e-04, eta: 1 day, 6:16:54, time: 0.435, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0423, loss_cls: 0.2155, acc: 92.5640, loss_bbox: 0.2545, loss_mask: 0.2599, loss: 0.8067 +2022-09-21 23:24:07,193 - mmdet - INFO - Epoch [4][1000/7330] lr: 1.000e-04, eta: 1 day, 6:16:18, time: 0.427, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0383, loss_cls: 0.2100, acc: 92.8057, loss_bbox: 0.2486, loss_mask: 0.2512, loss: 0.7816 +2022-09-21 23:24:29,089 - mmdet - INFO - Epoch [4][1050/7330] lr: 1.000e-04, eta: 1 day, 6:15:48, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0361, loss_cls: 0.2042, acc: 92.9839, loss_bbox: 0.2457, loss_mask: 0.2471, loss: 0.7636 +2022-09-21 23:24:51,164 - mmdet - INFO - Epoch [4][1100/7330] lr: 1.000e-04, eta: 1 day, 6:15:20, time: 0.442, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0380, loss_cls: 0.2062, acc: 92.9780, loss_bbox: 0.2418, loss_mask: 0.2570, loss: 0.7770 +2022-09-21 23:25:13,094 - mmdet - INFO - Epoch [4][1150/7330] lr: 1.000e-04, eta: 1 day, 6:14:49, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0382, loss_cls: 0.2132, acc: 92.8330, loss_bbox: 0.2453, loss_mask: 0.2523, loss: 0.7839 +2022-09-21 23:25:34,332 - mmdet - INFO - Epoch [4][1200/7330] lr: 1.000e-04, eta: 1 day, 6:14:13, time: 0.426, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0406, loss_cls: 0.2164, acc: 92.5776, loss_bbox: 0.2541, loss_mask: 0.2551, loss: 0.8013 +2022-09-21 23:25:55,772 - mmdet - INFO - Epoch [4][1250/7330] lr: 1.000e-04, eta: 1 day, 6:13:37, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0374, loss_cls: 0.2130, acc: 92.8513, loss_bbox: 0.2400, loss_mask: 0.2558, loss: 0.7815 +2022-09-21 23:26:17,247 - mmdet - INFO - Epoch [4][1300/7330] lr: 1.000e-04, eta: 1 day, 6:13:04, time: 0.432, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0418, loss_cls: 0.2165, acc: 92.6716, loss_bbox: 0.2568, loss_mask: 0.2556, loss: 0.8092 +2022-09-21 23:26:38,837 - mmdet - INFO - Epoch [4][1350/7330] lr: 1.000e-04, eta: 1 day, 6:12:31, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0379, loss_cls: 0.2069, acc: 92.8413, loss_bbox: 0.2477, loss_mask: 0.2460, loss: 0.7722 +2022-09-21 23:27:00,517 - mmdet - INFO - Epoch [4][1400/7330] lr: 1.000e-04, eta: 1 day, 6:11:59, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0388, loss_cls: 0.2148, acc: 92.4963, loss_bbox: 0.2562, loss_mask: 0.2544, loss: 0.7986 +2022-09-21 23:27:22,064 - mmdet - INFO - Epoch [4][1450/7330] lr: 1.000e-04, eta: 1 day, 6:11:25, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0377, loss_cls: 0.2076, acc: 92.9441, loss_bbox: 0.2403, loss_mask: 0.2481, loss: 0.7668 +2022-09-21 23:27:43,987 - mmdet - INFO - Epoch [4][1500/7330] lr: 1.000e-04, eta: 1 day, 6:10:56, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0400, loss_cls: 0.2136, acc: 92.5708, loss_bbox: 0.2581, loss_mask: 0.2510, loss: 0.7950 +2022-09-21 23:28:05,867 - mmdet - INFO - Epoch [4][1550/7330] lr: 1.000e-04, eta: 1 day, 6:10:26, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0409, loss_cls: 0.2167, acc: 92.5818, loss_bbox: 0.2535, loss_mask: 0.2589, loss: 0.8046 +2022-09-21 23:28:27,686 - mmdet - INFO - Epoch [4][1600/7330] lr: 1.000e-04, eta: 1 day, 6:09:55, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0413, loss_cls: 0.2213, acc: 92.3589, loss_bbox: 0.2563, loss_mask: 0.2544, loss: 0.8081 +2022-09-21 23:28:49,143 - mmdet - INFO - Epoch [4][1650/7330] lr: 1.000e-04, eta: 1 day, 6:09:21, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0396, loss_cls: 0.2128, acc: 92.6680, loss_bbox: 0.2468, loss_mask: 0.2531, loss: 0.7849 +2022-09-21 23:29:10,836 - mmdet - INFO - Epoch [4][1700/7330] lr: 1.000e-04, eta: 1 day, 6:08:49, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0398, loss_cls: 0.2146, acc: 92.5322, loss_bbox: 0.2584, loss_mask: 0.2528, loss: 0.7999 +2022-09-21 23:29:32,715 - mmdet - INFO - Epoch [4][1750/7330] lr: 1.000e-04, eta: 1 day, 6:08:19, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0412, loss_cls: 0.2233, acc: 92.4153, loss_bbox: 0.2553, loss_mask: 0.2553, loss: 0.8147 +2022-09-21 23:29:53,926 - mmdet - INFO - Epoch [4][1800/7330] lr: 1.000e-04, eta: 1 day, 6:07:43, time: 0.424, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0391, loss_cls: 0.2130, acc: 92.6746, loss_bbox: 0.2498, loss_mask: 0.2559, loss: 0.7905 +2022-09-21 23:30:15,699 - mmdet - INFO - Epoch [4][1850/7330] lr: 1.000e-04, eta: 1 day, 6:07:12, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0401, loss_cls: 0.2195, acc: 92.4829, loss_bbox: 0.2576, loss_mask: 0.2549, loss: 0.8079 +2022-09-21 23:30:37,182 - mmdet - INFO - Epoch [4][1900/7330] lr: 1.000e-04, eta: 1 day, 6:06:39, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0395, loss_cls: 0.2167, acc: 92.6729, loss_bbox: 0.2503, loss_mask: 0.2605, loss: 0.8014 +2022-09-21 23:30:58,850 - mmdet - INFO - Epoch [4][1950/7330] lr: 1.000e-04, eta: 1 day, 6:06:07, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0383, loss_cls: 0.2183, acc: 92.6060, loss_bbox: 0.2531, loss_mask: 0.2546, loss: 0.7979 +2022-09-21 23:31:20,415 - mmdet - INFO - Epoch [4][2000/7330] lr: 1.000e-04, eta: 1 day, 6:05:34, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0380, loss_cls: 0.2152, acc: 92.6936, loss_bbox: 0.2550, loss_mask: 0.2547, loss: 0.7960 +2022-09-21 23:31:42,046 - mmdet - INFO - Epoch [4][2050/7330] lr: 1.000e-04, eta: 1 day, 6:05:01, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0373, loss_cls: 0.2106, acc: 92.8901, loss_bbox: 0.2474, loss_mask: 0.2561, loss: 0.7859 +2022-09-21 23:32:03,714 - mmdet - INFO - Epoch [4][2100/7330] lr: 1.000e-04, eta: 1 day, 6:04:30, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0395, loss_cls: 0.2180, acc: 92.5693, loss_bbox: 0.2505, loss_mask: 0.2591, loss: 0.8010 +2022-09-21 23:32:25,632 - mmdet - INFO - Epoch [4][2150/7330] lr: 1.000e-04, eta: 1 day, 6:04:01, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0396, loss_cls: 0.2058, acc: 92.9324, loss_bbox: 0.2457, loss_mask: 0.2474, loss: 0.7732 +2022-09-21 23:32:47,400 - mmdet - INFO - Epoch [4][2200/7330] lr: 1.000e-04, eta: 1 day, 6:03:31, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0389, loss_cls: 0.2063, acc: 92.9111, loss_bbox: 0.2511, loss_mask: 0.2537, loss: 0.7804 +2022-09-21 23:33:08,915 - mmdet - INFO - Epoch [4][2250/7330] lr: 1.000e-04, eta: 1 day, 6:02:58, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0403, loss_cls: 0.2166, acc: 92.6125, loss_bbox: 0.2578, loss_mask: 0.2527, loss: 0.8048 +2022-09-21 23:33:30,473 - mmdet - INFO - Epoch [4][2300/7330] lr: 1.000e-04, eta: 1 day, 6:02:25, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0395, loss_cls: 0.2125, acc: 92.7251, loss_bbox: 0.2546, loss_mask: 0.2537, loss: 0.7945 +2022-09-21 23:33:52,043 - mmdet - INFO - Epoch [4][2350/7330] lr: 1.000e-04, eta: 1 day, 6:01:53, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0385, loss_cls: 0.2151, acc: 92.6235, loss_bbox: 0.2525, loss_mask: 0.2552, loss: 0.7941 +2022-09-21 23:34:13,836 - mmdet - INFO - Epoch [4][2400/7330] lr: 1.000e-04, eta: 1 day, 6:01:22, time: 0.436, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0397, loss_cls: 0.2114, acc: 92.7878, loss_bbox: 0.2500, loss_mask: 0.2470, loss: 0.7859 +2022-09-21 23:34:35,840 - mmdet - INFO - Epoch [4][2450/7330] lr: 1.000e-04, eta: 1 day, 6:00:54, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0372, loss_cls: 0.2062, acc: 92.9031, loss_bbox: 0.2464, loss_mask: 0.2547, loss: 0.7794 +2022-09-21 23:34:57,268 - mmdet - INFO - Epoch [4][2500/7330] lr: 1.000e-04, eta: 1 day, 6:00:21, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0394, loss_cls: 0.2127, acc: 92.8108, loss_bbox: 0.2473, loss_mask: 0.2543, loss: 0.7903 +2022-09-21 23:35:18,578 - mmdet - INFO - Epoch [4][2550/7330] lr: 1.000e-04, eta: 1 day, 5:59:46, time: 0.426, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0370, loss_cls: 0.2003, acc: 93.0720, loss_bbox: 0.2350, loss_mask: 0.2501, loss: 0.7532 +2022-09-21 23:35:40,408 - mmdet - INFO - Epoch [4][2600/7330] lr: 1.000e-04, eta: 1 day, 5:59:16, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0400, loss_cls: 0.2105, acc: 92.6641, loss_bbox: 0.2456, loss_mask: 0.2564, loss: 0.7886 +2022-09-21 23:36:02,144 - mmdet - INFO - Epoch [4][2650/7330] lr: 1.000e-04, eta: 1 day, 5:58:46, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0386, loss_cls: 0.2063, acc: 92.9707, loss_bbox: 0.2395, loss_mask: 0.2490, loss: 0.7660 +2022-09-21 23:36:23,824 - mmdet - INFO - Epoch [4][2700/7330] lr: 1.000e-04, eta: 1 day, 5:58:15, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0423, loss_cls: 0.2139, acc: 92.5408, loss_bbox: 0.2571, loss_mask: 0.2566, loss: 0.8048 +2022-09-21 23:36:45,266 - mmdet - INFO - Epoch [4][2750/7330] lr: 1.000e-04, eta: 1 day, 5:57:41, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0386, loss_cls: 0.2100, acc: 92.9565, loss_bbox: 0.2476, loss_mask: 0.2558, loss: 0.7862 +2022-09-21 23:37:06,709 - mmdet - INFO - Epoch [4][2800/7330] lr: 1.000e-04, eta: 1 day, 5:57:08, time: 0.429, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0390, loss_cls: 0.2083, acc: 92.8149, loss_bbox: 0.2505, loss_mask: 0.2499, loss: 0.7809 +2022-09-21 23:37:29,279 - mmdet - INFO - Epoch [4][2850/7330] lr: 1.000e-04, eta: 1 day, 5:56:46, time: 0.451, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0386, loss_cls: 0.2140, acc: 92.7192, loss_bbox: 0.2484, loss_mask: 0.2515, loss: 0.7873 +2022-09-21 23:37:51,209 - mmdet - INFO - Epoch [4][2900/7330] lr: 1.000e-04, eta: 1 day, 5:56:17, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0420, loss_cls: 0.2220, acc: 92.2996, loss_bbox: 0.2618, loss_mask: 0.2571, loss: 0.8204 +2022-09-21 23:38:12,989 - mmdet - INFO - Epoch [4][2950/7330] lr: 1.000e-04, eta: 1 day, 5:55:47, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0438, loss_cls: 0.2271, acc: 92.2332, loss_bbox: 0.2607, loss_mask: 0.2537, loss: 0.8226 +2022-09-21 23:38:34,663 - mmdet - INFO - Epoch [4][3000/7330] lr: 1.000e-04, eta: 1 day, 5:55:16, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0402, loss_cls: 0.2082, acc: 93.0164, loss_bbox: 0.2428, loss_mask: 0.2495, loss: 0.7752 +2022-09-21 23:38:56,577 - mmdet - INFO - Epoch [4][3050/7330] lr: 1.000e-04, eta: 1 day, 5:54:48, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0393, loss_cls: 0.2133, acc: 92.7844, loss_bbox: 0.2524, loss_mask: 0.2578, loss: 0.7994 +2022-09-21 23:39:18,474 - mmdet - INFO - Epoch [4][3100/7330] lr: 1.000e-04, eta: 1 day, 5:54:19, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0378, loss_cls: 0.2065, acc: 92.8826, loss_bbox: 0.2445, loss_mask: 0.2534, loss: 0.7732 +2022-09-21 23:39:40,199 - mmdet - INFO - Epoch [4][3150/7330] lr: 1.000e-04, eta: 1 day, 5:53:49, time: 0.434, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0389, loss_cls: 0.2088, acc: 92.9011, loss_bbox: 0.2444, loss_mask: 0.2536, loss: 0.7809 +2022-09-21 23:40:01,887 - mmdet - INFO - Epoch [4][3200/7330] lr: 1.000e-04, eta: 1 day, 5:53:18, time: 0.434, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0388, loss_cls: 0.2102, acc: 92.7158, loss_bbox: 0.2518, loss_mask: 0.2613, loss: 0.7964 +2022-09-21 23:40:23,746 - mmdet - INFO - Epoch [4][3250/7330] lr: 1.000e-04, eta: 1 day, 5:52:49, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0375, loss_cls: 0.2084, acc: 92.9136, loss_bbox: 0.2461, loss_mask: 0.2504, loss: 0.7778 +2022-09-21 23:40:45,770 - mmdet - INFO - Epoch [4][3300/7330] lr: 1.000e-04, eta: 1 day, 5:52:21, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0395, loss_cls: 0.2158, acc: 92.6606, loss_bbox: 0.2570, loss_mask: 0.2575, loss: 0.8032 +2022-09-21 23:41:07,605 - mmdet - INFO - Epoch [4][3350/7330] lr: 1.000e-04, eta: 1 day, 5:51:53, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0387, loss_cls: 0.2093, acc: 92.6985, loss_bbox: 0.2452, loss_mask: 0.2498, loss: 0.7750 +2022-09-21 23:41:29,283 - mmdet - INFO - Epoch [4][3400/7330] lr: 1.000e-04, eta: 1 day, 5:51:22, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0403, loss_cls: 0.2169, acc: 92.5557, loss_bbox: 0.2571, loss_mask: 0.2572, loss: 0.8045 +2022-09-21 23:41:50,898 - mmdet - INFO - Epoch [4][3450/7330] lr: 1.000e-04, eta: 1 day, 5:50:51, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0392, loss_cls: 0.2155, acc: 92.6262, loss_bbox: 0.2541, loss_mask: 0.2576, loss: 0.8012 +2022-09-21 23:42:12,898 - mmdet - INFO - Epoch [4][3500/7330] lr: 1.000e-04, eta: 1 day, 5:50:23, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0397, loss_cls: 0.2265, acc: 92.3135, loss_bbox: 0.2572, loss_mask: 0.2579, loss: 0.8154 +2022-09-21 23:42:34,491 - mmdet - INFO - Epoch [4][3550/7330] lr: 1.000e-04, eta: 1 day, 5:49:52, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0386, loss_cls: 0.2165, acc: 92.6387, loss_bbox: 0.2477, loss_mask: 0.2495, loss: 0.7862 +2022-09-21 23:42:56,530 - mmdet - INFO - Epoch [4][3600/7330] lr: 1.000e-04, eta: 1 day, 5:49:25, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0413, loss_cls: 0.2175, acc: 92.4209, loss_bbox: 0.2588, loss_mask: 0.2549, loss: 0.8087 +2022-09-21 23:43:18,431 - mmdet - INFO - Epoch [4][3650/7330] lr: 1.000e-04, eta: 1 day, 5:48:57, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0409, loss_cls: 0.2113, acc: 92.6118, loss_bbox: 0.2548, loss_mask: 0.2570, loss: 0.7975 +2022-09-21 23:43:40,581 - mmdet - INFO - Epoch [4][3700/7330] lr: 1.000e-04, eta: 1 day, 5:48:31, time: 0.443, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0375, loss_cls: 0.2009, acc: 93.1599, loss_bbox: 0.2320, loss_mask: 0.2471, loss: 0.7514 +2022-09-21 23:44:02,596 - mmdet - INFO - Epoch [4][3750/7330] lr: 1.000e-04, eta: 1 day, 5:48:03, time: 0.440, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0397, loss_cls: 0.2140, acc: 92.5691, loss_bbox: 0.2528, loss_mask: 0.2549, loss: 0.7939 +2022-09-21 23:44:24,828 - mmdet - INFO - Epoch [4][3800/7330] lr: 1.000e-04, eta: 1 day, 5:47:38, time: 0.444, data_time: 0.022, memory: 30699, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0413, loss_cls: 0.2103, acc: 92.9089, loss_bbox: 0.2452, loss_mask: 0.2472, loss: 0.7809 +2022-09-21 23:44:46,430 - mmdet - INFO - Epoch [4][3850/7330] lr: 1.000e-04, eta: 1 day, 5:47:07, time: 0.432, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0359, loss_cls: 0.2112, acc: 92.7405, loss_bbox: 0.2517, loss_mask: 0.2540, loss: 0.7821 +2022-09-21 23:45:09,211 - mmdet - INFO - Epoch [4][3900/7330] lr: 1.000e-04, eta: 1 day, 5:46:47, time: 0.455, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0373, loss_cls: 0.2048, acc: 93.0142, loss_bbox: 0.2428, loss_mask: 0.2524, loss: 0.7692 +2022-09-21 23:45:30,715 - mmdet - INFO - Epoch [4][3950/7330] lr: 1.000e-04, eta: 1 day, 5:46:15, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0372, loss_cls: 0.2039, acc: 92.9221, loss_bbox: 0.2474, loss_mask: 0.2524, loss: 0.7762 +2022-09-21 23:45:52,350 - mmdet - INFO - Epoch [4][4000/7330] lr: 1.000e-04, eta: 1 day, 5:45:44, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0368, loss_cls: 0.2088, acc: 92.8418, loss_bbox: 0.2431, loss_mask: 0.2484, loss: 0.7694 +2022-09-21 23:46:13,714 - mmdet - INFO - Epoch [4][4050/7330] lr: 1.000e-04, eta: 1 day, 5:45:11, time: 0.427, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0386, loss_cls: 0.2077, acc: 92.8782, loss_bbox: 0.2384, loss_mask: 0.2512, loss: 0.7695 +2022-09-21 23:46:35,169 - mmdet - INFO - Epoch [4][4100/7330] lr: 1.000e-04, eta: 1 day, 5:44:39, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0377, loss_cls: 0.2129, acc: 92.8416, loss_bbox: 0.2403, loss_mask: 0.2492, loss: 0.7723 +2022-09-21 23:46:56,999 - mmdet - INFO - Epoch [4][4150/7330] lr: 1.000e-04, eta: 1 day, 5:44:10, time: 0.436, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0385, loss_cls: 0.2251, acc: 92.5601, loss_bbox: 0.2458, loss_mask: 0.2522, loss: 0.7955 +2022-09-21 23:47:19,030 - mmdet - INFO - Epoch [4][4200/7330] lr: 1.000e-04, eta: 1 day, 5:43:43, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0403, loss_cls: 0.2097, acc: 92.7856, loss_bbox: 0.2502, loss_mask: 0.2537, loss: 0.7875 +2022-09-21 23:47:40,632 - mmdet - INFO - Epoch [4][4250/7330] lr: 1.000e-04, eta: 1 day, 5:43:12, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0391, loss_cls: 0.2080, acc: 92.9910, loss_bbox: 0.2425, loss_mask: 0.2543, loss: 0.7764 +2022-09-21 23:48:02,404 - mmdet - INFO - Epoch [4][4300/7330] lr: 1.000e-04, eta: 1 day, 5:42:44, time: 0.436, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0390, loss_cls: 0.2111, acc: 92.7805, loss_bbox: 0.2479, loss_mask: 0.2524, loss: 0.7846 +2022-09-21 23:48:24,248 - mmdet - INFO - Epoch [4][4350/7330] lr: 1.000e-04, eta: 1 day, 5:42:15, time: 0.437, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0400, loss_cls: 0.2062, acc: 93.0652, loss_bbox: 0.2417, loss_mask: 0.2477, loss: 0.7700 +2022-09-21 23:48:45,581 - mmdet - INFO - Epoch [4][4400/7330] lr: 1.000e-04, eta: 1 day, 5:41:42, time: 0.427, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0387, loss_cls: 0.2159, acc: 92.6951, loss_bbox: 0.2481, loss_mask: 0.2507, loss: 0.7872 +2022-09-21 23:49:07,581 - mmdet - INFO - Epoch [4][4450/7330] lr: 1.000e-04, eta: 1 day, 5:41:15, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0423, loss_cls: 0.2180, acc: 92.5544, loss_bbox: 0.2529, loss_mask: 0.2506, loss: 0.8009 +2022-09-21 23:49:29,366 - mmdet - INFO - Epoch [4][4500/7330] lr: 1.000e-04, eta: 1 day, 5:40:46, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0400, loss_cls: 0.2108, acc: 92.8240, loss_bbox: 0.2495, loss_mask: 0.2530, loss: 0.7876 +2022-09-21 23:49:50,686 - mmdet - INFO - Epoch [4][4550/7330] lr: 1.000e-04, eta: 1 day, 5:40:12, time: 0.425, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0385, loss_cls: 0.2138, acc: 92.7095, loss_bbox: 0.2487, loss_mask: 0.2550, loss: 0.7893 +2022-09-21 23:50:12,135 - mmdet - INFO - Epoch [4][4600/7330] lr: 1.000e-04, eta: 1 day, 5:39:41, time: 0.429, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0404, loss_cls: 0.2207, acc: 92.4758, loss_bbox: 0.2499, loss_mask: 0.2503, loss: 0.7956 +2022-09-21 23:50:33,985 - mmdet - INFO - Epoch [4][4650/7330] lr: 1.000e-04, eta: 1 day, 5:39:13, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0387, loss_cls: 0.2100, acc: 92.7231, loss_bbox: 0.2490, loss_mask: 0.2524, loss: 0.7802 +2022-09-21 23:50:56,196 - mmdet - INFO - Epoch [4][4700/7330] lr: 1.000e-04, eta: 1 day, 5:38:48, time: 0.444, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0374, loss_cls: 0.2116, acc: 92.7715, loss_bbox: 0.2501, loss_mask: 0.2596, loss: 0.7907 +2022-09-21 23:51:18,420 - mmdet - INFO - Epoch [4][4750/7330] lr: 1.000e-04, eta: 1 day, 5:38:23, time: 0.444, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0379, loss_cls: 0.2095, acc: 92.6211, loss_bbox: 0.2538, loss_mask: 0.2480, loss: 0.7836 +2022-09-21 23:51:39,970 - mmdet - INFO - Epoch [4][4800/7330] lr: 1.000e-04, eta: 1 day, 5:37:52, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0386, loss_cls: 0.2060, acc: 92.9490, loss_bbox: 0.2400, loss_mask: 0.2445, loss: 0.7645 +2022-09-21 23:52:01,757 - mmdet - INFO - Epoch [4][4850/7330] lr: 1.000e-04, eta: 1 day, 5:37:23, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0397, loss_cls: 0.2112, acc: 92.8914, loss_bbox: 0.2453, loss_mask: 0.2466, loss: 0.7785 +2022-09-21 23:52:23,083 - mmdet - INFO - Epoch [4][4900/7330] lr: 1.000e-04, eta: 1 day, 5:36:50, time: 0.427, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0388, loss_cls: 0.2074, acc: 92.8940, loss_bbox: 0.2414, loss_mask: 0.2535, loss: 0.7759 +2022-09-21 23:52:44,912 - mmdet - INFO - Epoch [4][4950/7330] lr: 1.000e-04, eta: 1 day, 5:36:22, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0390, loss_cls: 0.2096, acc: 92.8525, loss_bbox: 0.2456, loss_mask: 0.2519, loss: 0.7789 +2022-09-21 23:53:06,941 - mmdet - INFO - Epoch [4][5000/7330] lr: 1.000e-04, eta: 1 day, 5:35:55, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0397, loss_cls: 0.2070, acc: 92.9092, loss_bbox: 0.2461, loss_mask: 0.2474, loss: 0.7716 +2022-09-21 23:53:28,598 - mmdet - INFO - Epoch [4][5050/7330] lr: 1.000e-04, eta: 1 day, 5:35:25, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0374, loss_cls: 0.2038, acc: 93.0430, loss_bbox: 0.2410, loss_mask: 0.2491, loss: 0.7649 +2022-09-21 23:53:50,344 - mmdet - INFO - Epoch [4][5100/7330] lr: 1.000e-04, eta: 1 day, 5:34:56, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0396, loss_cls: 0.2076, acc: 92.9153, loss_bbox: 0.2468, loss_mask: 0.2509, loss: 0.7775 +2022-09-21 23:54:12,155 - mmdet - INFO - Epoch [4][5150/7330] lr: 1.000e-04, eta: 1 day, 5:34:28, time: 0.437, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0377, loss_cls: 0.2077, acc: 92.8154, loss_bbox: 0.2442, loss_mask: 0.2499, loss: 0.7728 +2022-09-21 23:54:33,580 - mmdet - INFO - Epoch [4][5200/7330] lr: 1.000e-04, eta: 1 day, 5:33:56, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0387, loss_cls: 0.2089, acc: 92.8801, loss_bbox: 0.2464, loss_mask: 0.2528, loss: 0.7777 +2022-09-21 23:54:55,448 - mmdet - INFO - Epoch [4][5250/7330] lr: 1.000e-04, eta: 1 day, 5:33:28, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0400, loss_cls: 0.2134, acc: 92.7627, loss_bbox: 0.2506, loss_mask: 0.2485, loss: 0.7858 +2022-09-21 23:55:17,154 - mmdet - INFO - Epoch [4][5300/7330] lr: 1.000e-04, eta: 1 day, 5:32:59, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0372, loss_cls: 0.2118, acc: 92.8367, loss_bbox: 0.2468, loss_mask: 0.2513, loss: 0.7798 +2022-09-21 23:55:38,661 - mmdet - INFO - Epoch [4][5350/7330] lr: 1.000e-04, eta: 1 day, 5:32:28, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0397, loss_cls: 0.2071, acc: 92.9873, loss_bbox: 0.2424, loss_mask: 0.2456, loss: 0.7696 +2022-09-21 23:56:00,500 - mmdet - INFO - Epoch [4][5400/7330] lr: 1.000e-04, eta: 1 day, 5:32:00, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0371, loss_cls: 0.2010, acc: 93.2158, loss_bbox: 0.2384, loss_mask: 0.2451, loss: 0.7535 +2022-09-21 23:56:22,216 - mmdet - INFO - Epoch [4][5450/7330] lr: 1.000e-04, eta: 1 day, 5:31:31, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0366, loss_cls: 0.2062, acc: 92.8953, loss_bbox: 0.2436, loss_mask: 0.2448, loss: 0.7645 +2022-09-21 23:56:43,850 - mmdet - INFO - Epoch [4][5500/7330] lr: 1.000e-04, eta: 1 day, 5:31:02, time: 0.433, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0389, loss_cls: 0.2121, acc: 92.7380, loss_bbox: 0.2503, loss_mask: 0.2536, loss: 0.7899 +2022-09-21 23:57:05,774 - mmdet - INFO - Epoch [4][5550/7330] lr: 1.000e-04, eta: 1 day, 5:30:34, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0383, loss_cls: 0.2206, acc: 92.3564, loss_bbox: 0.2662, loss_mask: 0.2597, loss: 0.8161 +2022-09-21 23:57:27,319 - mmdet - INFO - Epoch [4][5600/7330] lr: 1.000e-04, eta: 1 day, 5:30:04, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0412, loss_cls: 0.2170, acc: 92.5205, loss_bbox: 0.2538, loss_mask: 0.2537, loss: 0.8009 +2022-09-21 23:57:49,159 - mmdet - INFO - Epoch [4][5650/7330] lr: 1.000e-04, eta: 1 day, 5:29:36, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0392, loss_cls: 0.2031, acc: 92.8630, loss_bbox: 0.2460, loss_mask: 0.2508, loss: 0.7732 +2022-09-21 23:58:10,759 - mmdet - INFO - Epoch [4][5700/7330] lr: 1.000e-04, eta: 1 day, 5:29:06, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0365, loss_cls: 0.2099, acc: 92.8535, loss_bbox: 0.2468, loss_mask: 0.2504, loss: 0.7774 +2022-09-21 23:58:32,500 - mmdet - INFO - Epoch [4][5750/7330] lr: 1.000e-04, eta: 1 day, 5:28:37, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0395, loss_cls: 0.2162, acc: 92.5559, loss_bbox: 0.2537, loss_mask: 0.2525, loss: 0.7966 +2022-09-21 23:58:54,286 - mmdet - INFO - Epoch [4][5800/7330] lr: 1.000e-04, eta: 1 day, 5:28:09, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0404, loss_cls: 0.2168, acc: 92.6240, loss_bbox: 0.2563, loss_mask: 0.2534, loss: 0.8006 +2022-09-21 23:59:15,883 - mmdet - INFO - Epoch [4][5850/7330] lr: 1.000e-04, eta: 1 day, 5:27:39, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0385, loss_cls: 0.2043, acc: 92.8596, loss_bbox: 0.2432, loss_mask: 0.2500, loss: 0.7676 +2022-09-21 23:59:37,236 - mmdet - INFO - Epoch [4][5900/7330] lr: 1.000e-04, eta: 1 day, 5:27:07, time: 0.427, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0368, loss_cls: 0.2018, acc: 93.1396, loss_bbox: 0.2372, loss_mask: 0.2419, loss: 0.7490 +2022-09-21 23:59:59,514 - mmdet - INFO - Epoch [4][5950/7330] lr: 1.000e-04, eta: 1 day, 5:26:43, time: 0.445, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0401, loss_cls: 0.2085, acc: 92.7307, loss_bbox: 0.2522, loss_mask: 0.2506, loss: 0.7852 +2022-09-22 00:00:24,142 - mmdet - INFO - Epoch [4][6000/7330] lr: 1.000e-04, eta: 1 day, 5:26:39, time: 0.493, data_time: 0.024, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0391, loss_cls: 0.2119, acc: 92.6143, loss_bbox: 0.2571, loss_mask: 0.2509, loss: 0.7900 +2022-09-22 00:00:45,752 - mmdet - INFO - Epoch [4][6050/7330] lr: 1.000e-04, eta: 1 day, 5:26:09, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0374, loss_cls: 0.2101, acc: 92.6909, loss_bbox: 0.2485, loss_mask: 0.2495, loss: 0.7776 +2022-09-22 00:01:07,396 - mmdet - INFO - Epoch [4][6100/7330] lr: 1.000e-04, eta: 1 day, 5:25:40, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0386, loss_cls: 0.2073, acc: 92.9600, loss_bbox: 0.2419, loss_mask: 0.2473, loss: 0.7679 +2022-09-22 00:01:29,148 - mmdet - INFO - Epoch [4][6150/7330] lr: 1.000e-04, eta: 1 day, 5:25:11, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0411, loss_cls: 0.2156, acc: 92.6377, loss_bbox: 0.2513, loss_mask: 0.2513, loss: 0.7940 +2022-09-22 00:01:51,042 - mmdet - INFO - Epoch [4][6200/7330] lr: 1.000e-04, eta: 1 day, 5:24:44, time: 0.438, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0395, loss_cls: 0.2067, acc: 92.7449, loss_bbox: 0.2477, loss_mask: 0.2547, loss: 0.7847 +2022-09-22 00:02:12,613 - mmdet - INFO - Epoch [4][6250/7330] lr: 1.000e-04, eta: 1 day, 5:24:14, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0406, loss_cls: 0.2054, acc: 92.9082, loss_bbox: 0.2487, loss_mask: 0.2502, loss: 0.7795 +2022-09-22 00:02:34,116 - mmdet - INFO - Epoch [4][6300/7330] lr: 1.000e-04, eta: 1 day, 5:23:44, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0378, loss_cls: 0.2010, acc: 92.9426, loss_bbox: 0.2434, loss_mask: 0.2482, loss: 0.7605 +2022-09-22 00:02:55,597 - mmdet - INFO - Epoch [4][6350/7330] lr: 1.000e-04, eta: 1 day, 5:23:13, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0368, loss_cls: 0.2093, acc: 92.7476, loss_bbox: 0.2489, loss_mask: 0.2470, loss: 0.7726 +2022-09-22 00:03:17,820 - mmdet - INFO - Epoch [4][6400/7330] lr: 1.000e-04, eta: 1 day, 5:22:49, time: 0.444, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0415, loss_cls: 0.2189, acc: 92.3306, loss_bbox: 0.2666, loss_mask: 0.2558, loss: 0.8206 +2022-09-22 00:03:39,680 - mmdet - INFO - Epoch [4][6450/7330] lr: 1.000e-04, eta: 1 day, 5:22:21, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0399, loss_cls: 0.2042, acc: 92.9888, loss_bbox: 0.2424, loss_mask: 0.2501, loss: 0.7700 +2022-09-22 00:04:01,162 - mmdet - INFO - Epoch [4][6500/7330] lr: 1.000e-04, eta: 1 day, 5:21:51, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0394, loss_cls: 0.2121, acc: 92.6650, loss_bbox: 0.2556, loss_mask: 0.2511, loss: 0.7893 +2022-09-22 00:04:23,395 - mmdet - INFO - Epoch [4][6550/7330] lr: 1.000e-04, eta: 1 day, 5:21:26, time: 0.444, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0394, loss_cls: 0.2108, acc: 92.7991, loss_bbox: 0.2473, loss_mask: 0.2566, loss: 0.7908 +2022-09-22 00:04:44,978 - mmdet - INFO - Epoch [4][6600/7330] lr: 1.000e-04, eta: 1 day, 5:20:57, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0365, loss_cls: 0.2107, acc: 92.8381, loss_bbox: 0.2505, loss_mask: 0.2518, loss: 0.7810 +2022-09-22 00:05:06,833 - mmdet - INFO - Epoch [4][6650/7330] lr: 1.000e-04, eta: 1 day, 5:20:30, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0379, loss_cls: 0.2001, acc: 93.1880, loss_bbox: 0.2340, loss_mask: 0.2511, loss: 0.7556 +2022-09-22 00:05:28,997 - mmdet - INFO - Epoch [4][6700/7330] lr: 1.000e-04, eta: 1 day, 5:20:05, time: 0.443, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0368, loss_cls: 0.2082, acc: 92.8306, loss_bbox: 0.2407, loss_mask: 0.2466, loss: 0.7634 +2022-09-22 00:05:50,854 - mmdet - INFO - Epoch [4][6750/7330] lr: 1.000e-04, eta: 1 day, 5:19:38, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0411, loss_cls: 0.2120, acc: 92.7905, loss_bbox: 0.2538, loss_mask: 0.2549, loss: 0.7973 +2022-09-22 00:06:12,705 - mmdet - INFO - Epoch [4][6800/7330] lr: 1.000e-04, eta: 1 day, 5:19:10, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0390, loss_cls: 0.2076, acc: 92.9328, loss_bbox: 0.2468, loss_mask: 0.2471, loss: 0.7733 +2022-09-22 00:06:34,137 - mmdet - INFO - Epoch [4][6850/7330] lr: 1.000e-04, eta: 1 day, 5:18:39, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0393, loss_cls: 0.2079, acc: 92.8997, loss_bbox: 0.2429, loss_mask: 0.2470, loss: 0.7728 +2022-09-22 00:06:55,717 - mmdet - INFO - Epoch [4][6900/7330] lr: 1.000e-04, eta: 1 day, 5:18:10, time: 0.432, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0382, loss_cls: 0.2119, acc: 92.7427, loss_bbox: 0.2531, loss_mask: 0.2512, loss: 0.7891 +2022-09-22 00:07:17,088 - mmdet - INFO - Epoch [4][6950/7330] lr: 1.000e-04, eta: 1 day, 5:17:39, time: 0.427, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0364, loss_cls: 0.2013, acc: 93.0430, loss_bbox: 0.2375, loss_mask: 0.2416, loss: 0.7478 +2022-09-22 00:07:38,764 - mmdet - INFO - Epoch [4][7000/7330] lr: 1.000e-04, eta: 1 day, 5:17:10, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0346, loss_cls: 0.2011, acc: 93.1321, loss_bbox: 0.2332, loss_mask: 0.2444, loss: 0.7435 +2022-09-22 00:08:00,174 - mmdet - INFO - Epoch [4][7050/7330] lr: 1.000e-04, eta: 1 day, 5:16:39, time: 0.428, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0377, loss_cls: 0.2076, acc: 92.8933, loss_bbox: 0.2441, loss_mask: 0.2513, loss: 0.7750 +2022-09-22 00:08:22,119 - mmdet - INFO - Epoch [4][7100/7330] lr: 1.000e-04, eta: 1 day, 5:16:13, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0385, loss_cls: 0.2090, acc: 92.7568, loss_bbox: 0.2459, loss_mask: 0.2513, loss: 0.7792 +2022-09-22 00:08:43,571 - mmdet - INFO - Epoch [4][7150/7330] lr: 1.000e-04, eta: 1 day, 5:15:43, time: 0.429, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0393, loss_cls: 0.2113, acc: 92.8406, loss_bbox: 0.2453, loss_mask: 0.2519, loss: 0.7802 +2022-09-22 00:09:05,264 - mmdet - INFO - Epoch [4][7200/7330] lr: 1.000e-04, eta: 1 day, 5:15:14, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0412, loss_cls: 0.2141, acc: 92.5735, loss_bbox: 0.2533, loss_mask: 0.2569, loss: 0.7995 +2022-09-22 00:09:26,917 - mmdet - INFO - Epoch [4][7250/7330] lr: 1.000e-04, eta: 1 day, 5:14:45, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0391, loss_cls: 0.2033, acc: 92.9023, loss_bbox: 0.2479, loss_mask: 0.2465, loss: 0.7709 +2022-09-22 00:09:49,035 - mmdet - INFO - Epoch [4][7300/7330] lr: 1.000e-04, eta: 1 day, 5:14:20, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0356, loss_cls: 0.2081, acc: 92.7810, loss_bbox: 0.2475, loss_mask: 0.2543, loss: 0.7783 +2022-09-22 00:10:11,883 - mmdet - INFO - Saving checkpoint at 4 epochs +2022-09-22 00:12:20,715 - mmdet - INFO - Evaluating bbox... +2022-09-22 00:12:49,747 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.425 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.663 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.463 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.277 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.462 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.389 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.599 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.711 + +2022-09-22 00:12:49,748 - mmdet - INFO - Evaluating segm... +2022-09-22 00:13:20,796 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.389 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.631 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.413 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.207 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.424 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.576 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.515 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.515 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.515 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.330 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.557 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.681 + +2022-09-22 00:13:21,256 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 00:13:21,257 - mmdet - INFO - Epoch(val) [4][625] bbox_mAP: 0.4250, bbox_mAP_50: 0.6630, bbox_mAP_75: 0.4630, bbox_mAP_s: 0.2770, bbox_mAP_m: 0.4620, bbox_mAP_l: 0.5600, bbox_mAP_copypaste: 0.425 0.663 0.463 0.277 0.462 0.560, segm_mAP: 0.3890, segm_mAP_50: 0.6310, segm_mAP_75: 0.4130, segm_mAP_s: 0.2070, segm_mAP_m: 0.4240, segm_mAP_l: 0.5760, segm_mAP_copypaste: 0.389 0.631 0.413 0.207 0.424 0.576 +2022-09-22 00:16:24,043 - mmdet - INFO - Epoch [5][50/7330] lr: 1.000e-04, eta: 1 day, 5:33:17, time: 3.654, data_time: 3.214, memory: 30699, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0402, loss_cls: 0.2010, acc: 92.8687, loss_bbox: 0.2447, loss_mask: 0.2441, loss: 0.7630 +2022-09-22 00:16:46,365 - mmdet - INFO - Epoch [5][100/7330] lr: 1.000e-04, eta: 1 day, 5:32:52, time: 0.448, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0368, loss_cls: 0.2057, acc: 92.9009, loss_bbox: 0.2407, loss_mask: 0.2468, loss: 0.7599 +2022-09-22 00:17:08,933 - mmdet - INFO - Epoch [5][150/7330] lr: 1.000e-04, eta: 1 day, 5:32:28, time: 0.451, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0408, loss_cls: 0.2152, acc: 92.4590, loss_bbox: 0.2547, loss_mask: 0.2499, loss: 0.7956 +2022-09-22 00:17:30,869 - mmdet - INFO - Epoch [5][200/7330] lr: 1.000e-04, eta: 1 day, 5:31:59, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0379, loss_cls: 0.2046, acc: 92.8984, loss_bbox: 0.2481, loss_mask: 0.2458, loss: 0.7703 +2022-09-22 00:17:52,874 - mmdet - INFO - Epoch [5][250/7330] lr: 1.000e-04, eta: 1 day, 5:31:31, time: 0.440, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0415, loss_cls: 0.2113, acc: 92.6155, loss_bbox: 0.2575, loss_mask: 0.2490, loss: 0.7950 +2022-09-22 00:18:14,751 - mmdet - INFO - Epoch [5][300/7330] lr: 1.000e-04, eta: 1 day, 5:31:02, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0357, loss_cls: 0.1957, acc: 93.1826, loss_bbox: 0.2371, loss_mask: 0.2437, loss: 0.7419 +2022-09-22 00:18:36,893 - mmdet - INFO - Epoch [5][350/7330] lr: 1.000e-04, eta: 1 day, 5:30:35, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0372, loss_cls: 0.1996, acc: 92.9868, loss_bbox: 0.2401, loss_mask: 0.2405, loss: 0.7477 +2022-09-22 00:18:58,884 - mmdet - INFO - Epoch [5][400/7330] lr: 1.000e-04, eta: 1 day, 5:30:07, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0390, loss_cls: 0.2104, acc: 92.7319, loss_bbox: 0.2488, loss_mask: 0.2454, loss: 0.7762 +2022-09-22 00:19:20,874 - mmdet - INFO - Epoch [5][450/7330] lr: 1.000e-04, eta: 1 day, 5:29:39, time: 0.440, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0390, loss_cls: 0.2038, acc: 92.8271, loss_bbox: 0.2478, loss_mask: 0.2483, loss: 0.7706 +2022-09-22 00:19:42,585 - mmdet - INFO - Epoch [5][500/7330] lr: 1.000e-04, eta: 1 day, 5:29:09, time: 0.434, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0381, loss_cls: 0.1990, acc: 93.0811, loss_bbox: 0.2445, loss_mask: 0.2455, loss: 0.7591 +2022-09-22 00:20:04,786 - mmdet - INFO - Epoch [5][550/7330] lr: 1.000e-04, eta: 1 day, 5:28:42, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0383, loss_cls: 0.2062, acc: 92.8264, loss_bbox: 0.2424, loss_mask: 0.2519, loss: 0.7701 +2022-09-22 00:20:26,728 - mmdet - INFO - Epoch [5][600/7330] lr: 1.000e-04, eta: 1 day, 5:28:14, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0382, loss_cls: 0.2038, acc: 92.9224, loss_bbox: 0.2478, loss_mask: 0.2497, loss: 0.7726 +2022-09-22 00:20:48,543 - mmdet - INFO - Epoch [5][650/7330] lr: 1.000e-04, eta: 1 day, 5:27:45, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0364, loss_cls: 0.1985, acc: 93.1240, loss_bbox: 0.2383, loss_mask: 0.2406, loss: 0.7436 +2022-09-22 00:21:10,545 - mmdet - INFO - Epoch [5][700/7330] lr: 1.000e-04, eta: 1 day, 5:27:17, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0350, loss_cls: 0.1902, acc: 93.4641, loss_bbox: 0.2260, loss_mask: 0.2366, loss: 0.7172 +2022-09-22 00:21:32,367 - mmdet - INFO - Epoch [5][750/7330] lr: 1.000e-04, eta: 1 day, 5:26:47, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0363, loss_cls: 0.2025, acc: 92.9116, loss_bbox: 0.2450, loss_mask: 0.2419, loss: 0.7573 +2022-09-22 00:21:54,202 - mmdet - INFO - Epoch [5][800/7330] lr: 1.000e-04, eta: 1 day, 5:26:18, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0350, loss_cls: 0.1998, acc: 93.1958, loss_bbox: 0.2361, loss_mask: 0.2419, loss: 0.7436 +2022-09-22 00:22:15,944 - mmdet - INFO - Epoch [5][850/7330] lr: 1.000e-04, eta: 1 day, 5:25:49, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0358, loss_cls: 0.2009, acc: 92.9529, loss_bbox: 0.2442, loss_mask: 0.2407, loss: 0.7525 +2022-09-22 00:22:37,724 - mmdet - INFO - Epoch [5][900/7330] lr: 1.000e-04, eta: 1 day, 5:25:19, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0399, loss_cls: 0.2028, acc: 92.9771, loss_bbox: 0.2424, loss_mask: 0.2490, loss: 0.7674 +2022-09-22 00:22:59,585 - mmdet - INFO - Epoch [5][950/7330] lr: 1.000e-04, eta: 1 day, 5:24:50, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0368, loss_cls: 0.2030, acc: 92.9204, loss_bbox: 0.2407, loss_mask: 0.2419, loss: 0.7537 +2022-09-22 00:23:21,894 - mmdet - INFO - Epoch [5][1000/7330] lr: 1.000e-04, eta: 1 day, 5:24:25, time: 0.447, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0410, loss_cls: 0.2135, acc: 92.5552, loss_bbox: 0.2558, loss_mask: 0.2510, loss: 0.7944 +2022-09-22 00:23:44,015 - mmdet - INFO - Epoch [5][1050/7330] lr: 1.000e-04, eta: 1 day, 5:23:58, time: 0.442, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0378, loss_cls: 0.2081, acc: 92.8049, loss_bbox: 0.2433, loss_mask: 0.2512, loss: 0.7716 +2022-09-22 00:24:06,064 - mmdet - INFO - Epoch [5][1100/7330] lr: 1.000e-04, eta: 1 day, 5:23:30, time: 0.441, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0405, loss_cls: 0.2062, acc: 92.7319, loss_bbox: 0.2481, loss_mask: 0.2431, loss: 0.7724 +2022-09-22 00:24:28,087 - mmdet - INFO - Epoch [5][1150/7330] lr: 1.000e-04, eta: 1 day, 5:23:03, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0403, loss_cls: 0.2116, acc: 92.7681, loss_bbox: 0.2508, loss_mask: 0.2450, loss: 0.7795 +2022-09-22 00:24:49,672 - mmdet - INFO - Epoch [5][1200/7330] lr: 1.000e-04, eta: 1 day, 5:22:32, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0356, loss_cls: 0.2048, acc: 92.8379, loss_bbox: 0.2436, loss_mask: 0.2477, loss: 0.7605 +2022-09-22 00:25:11,216 - mmdet - INFO - Epoch [5][1250/7330] lr: 1.000e-04, eta: 1 day, 5:22:01, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0372, loss_cls: 0.2037, acc: 93.0100, loss_bbox: 0.2394, loss_mask: 0.2406, loss: 0.7533 +2022-09-22 00:25:32,720 - mmdet - INFO - Epoch [5][1300/7330] lr: 1.000e-04, eta: 1 day, 5:21:29, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0377, loss_cls: 0.2050, acc: 92.9202, loss_bbox: 0.2480, loss_mask: 0.2459, loss: 0.7692 +2022-09-22 00:25:54,716 - mmdet - INFO - Epoch [5][1350/7330] lr: 1.000e-04, eta: 1 day, 5:21:02, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0392, loss_cls: 0.2077, acc: 92.7986, loss_bbox: 0.2458, loss_mask: 0.2442, loss: 0.7674 +2022-09-22 00:26:16,287 - mmdet - INFO - Epoch [5][1400/7330] lr: 1.000e-04, eta: 1 day, 5:20:31, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0388, loss_cls: 0.2086, acc: 92.8149, loss_bbox: 0.2470, loss_mask: 0.2532, loss: 0.7814 +2022-09-22 00:26:38,055 - mmdet - INFO - Epoch [5][1450/7330] lr: 1.000e-04, eta: 1 day, 5:20:01, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0373, loss_cls: 0.1991, acc: 93.1711, loss_bbox: 0.2369, loss_mask: 0.2513, loss: 0.7579 +2022-09-22 00:26:59,870 - mmdet - INFO - Epoch [5][1500/7330] lr: 1.000e-04, eta: 1 day, 5:19:33, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0358, loss_cls: 0.2062, acc: 92.8513, loss_bbox: 0.2429, loss_mask: 0.2425, loss: 0.7576 +2022-09-22 00:27:21,727 - mmdet - INFO - Epoch [5][1550/7330] lr: 1.000e-04, eta: 1 day, 5:19:04, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0359, loss_cls: 0.1915, acc: 93.3337, loss_bbox: 0.2322, loss_mask: 0.2440, loss: 0.7351 +2022-09-22 00:27:43,628 - mmdet - INFO - Epoch [5][1600/7330] lr: 1.000e-04, eta: 1 day, 5:18:36, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0388, loss_cls: 0.2122, acc: 92.6882, loss_bbox: 0.2480, loss_mask: 0.2534, loss: 0.7866 +2022-09-22 00:28:05,488 - mmdet - INFO - Epoch [5][1650/7330] lr: 1.000e-04, eta: 1 day, 5:18:07, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0358, loss_cls: 0.1976, acc: 93.1150, loss_bbox: 0.2338, loss_mask: 0.2446, loss: 0.7421 +2022-09-22 00:28:27,059 - mmdet - INFO - Epoch [5][1700/7330] lr: 1.000e-04, eta: 1 day, 5:17:36, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0372, loss_cls: 0.1948, acc: 93.2517, loss_bbox: 0.2315, loss_mask: 0.2472, loss: 0.7438 +2022-09-22 00:28:48,509 - mmdet - INFO - Epoch [5][1750/7330] lr: 1.000e-04, eta: 1 day, 5:17:05, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0376, loss_cls: 0.2098, acc: 92.7778, loss_bbox: 0.2459, loss_mask: 0.2484, loss: 0.7740 +2022-09-22 00:29:10,135 - mmdet - INFO - Epoch [5][1800/7330] lr: 1.000e-04, eta: 1 day, 5:16:34, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0379, loss_cls: 0.2068, acc: 92.8411, loss_bbox: 0.2475, loss_mask: 0.2456, loss: 0.7681 +2022-09-22 00:29:31,729 - mmdet - INFO - Epoch [5][1850/7330] lr: 1.000e-04, eta: 1 day, 5:16:04, time: 0.432, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0378, loss_cls: 0.2019, acc: 93.0300, loss_bbox: 0.2377, loss_mask: 0.2443, loss: 0.7525 +2022-09-22 00:29:53,786 - mmdet - INFO - Epoch [5][1900/7330] lr: 1.000e-04, eta: 1 day, 5:15:37, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0394, loss_cls: 0.2074, acc: 92.8181, loss_bbox: 0.2473, loss_mask: 0.2493, loss: 0.7761 +2022-09-22 00:30:15,172 - mmdet - INFO - Epoch [5][1950/7330] lr: 1.000e-04, eta: 1 day, 5:15:05, time: 0.429, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0386, loss_cls: 0.2048, acc: 92.9600, loss_bbox: 0.2473, loss_mask: 0.2476, loss: 0.7709 +2022-09-22 00:30:37,005 - mmdet - INFO - Epoch [5][2000/7330] lr: 1.000e-04, eta: 1 day, 5:14:37, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0385, loss_cls: 0.2121, acc: 92.7273, loss_bbox: 0.2474, loss_mask: 0.2581, loss: 0.7873 +2022-09-22 00:30:58,833 - mmdet - INFO - Epoch [5][2050/7330] lr: 1.000e-04, eta: 1 day, 5:14:08, time: 0.437, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0360, loss_cls: 0.2053, acc: 92.9314, loss_bbox: 0.2408, loss_mask: 0.2425, loss: 0.7569 +2022-09-22 00:31:20,435 - mmdet - INFO - Epoch [5][2100/7330] lr: 1.000e-04, eta: 1 day, 5:13:38, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0363, loss_cls: 0.1934, acc: 93.3704, loss_bbox: 0.2299, loss_mask: 0.2411, loss: 0.7315 +2022-09-22 00:31:42,558 - mmdet - INFO - Epoch [5][2150/7330] lr: 1.000e-04, eta: 1 day, 5:13:11, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0427, loss_cls: 0.2156, acc: 92.6631, loss_bbox: 0.2484, loss_mask: 0.2468, loss: 0.7899 +2022-09-22 00:32:04,049 - mmdet - INFO - Epoch [5][2200/7330] lr: 1.000e-04, eta: 1 day, 5:12:40, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0388, loss_cls: 0.2072, acc: 92.8950, loss_bbox: 0.2430, loss_mask: 0.2447, loss: 0.7641 +2022-09-22 00:32:25,799 - mmdet - INFO - Epoch [5][2250/7330] lr: 1.000e-04, eta: 1 day, 5:12:11, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0417, loss_cls: 0.2030, acc: 93.0461, loss_bbox: 0.2385, loss_mask: 0.2455, loss: 0.7642 +2022-09-22 00:32:47,185 - mmdet - INFO - Epoch [5][2300/7330] lr: 1.000e-04, eta: 1 day, 5:11:39, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0337, loss_cls: 0.1894, acc: 93.5391, loss_bbox: 0.2234, loss_mask: 0.2400, loss: 0.7134 +2022-09-22 00:33:08,774 - mmdet - INFO - Epoch [5][2350/7330] lr: 1.000e-04, eta: 1 day, 5:11:09, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0383, loss_cls: 0.2032, acc: 93.0098, loss_bbox: 0.2404, loss_mask: 0.2461, loss: 0.7605 +2022-09-22 00:33:30,442 - mmdet - INFO - Epoch [5][2400/7330] lr: 1.000e-04, eta: 1 day, 5:10:40, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0350, loss_cls: 0.2020, acc: 93.0795, loss_bbox: 0.2370, loss_mask: 0.2452, loss: 0.7505 +2022-09-22 00:33:52,711 - mmdet - INFO - Epoch [5][2450/7330] lr: 1.000e-04, eta: 1 day, 5:10:14, time: 0.445, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0347, loss_cls: 0.2043, acc: 93.0405, loss_bbox: 0.2407, loss_mask: 0.2456, loss: 0.7554 +2022-09-22 00:34:14,429 - mmdet - INFO - Epoch [5][2500/7330] lr: 1.000e-04, eta: 1 day, 5:09:45, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0359, loss_cls: 0.1995, acc: 93.1392, loss_bbox: 0.2394, loss_mask: 0.2388, loss: 0.7435 +2022-09-22 00:34:36,428 - mmdet - INFO - Epoch [5][2550/7330] lr: 1.000e-04, eta: 1 day, 5:09:18, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0392, loss_cls: 0.2095, acc: 92.8857, loss_bbox: 0.2462, loss_mask: 0.2494, loss: 0.7756 +2022-09-22 00:34:59,133 - mmdet - INFO - Epoch [5][2600/7330] lr: 1.000e-04, eta: 1 day, 5:08:56, time: 0.454, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0374, loss_cls: 0.2040, acc: 92.9744, loss_bbox: 0.2397, loss_mask: 0.2442, loss: 0.7588 +2022-09-22 00:35:20,701 - mmdet - INFO - Epoch [5][2650/7330] lr: 1.000e-04, eta: 1 day, 5:08:26, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0365, loss_cls: 0.2033, acc: 92.9688, loss_bbox: 0.2413, loss_mask: 0.2444, loss: 0.7525 +2022-09-22 00:35:42,573 - mmdet - INFO - Epoch [5][2700/7330] lr: 1.000e-04, eta: 1 day, 5:07:58, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0386, loss_cls: 0.2001, acc: 93.0100, loss_bbox: 0.2368, loss_mask: 0.2406, loss: 0.7469 +2022-09-22 00:36:04,280 - mmdet - INFO - Epoch [5][2750/7330] lr: 1.000e-04, eta: 1 day, 5:07:28, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0381, loss_cls: 0.2041, acc: 92.9775, loss_bbox: 0.2431, loss_mask: 0.2439, loss: 0.7647 +2022-09-22 00:36:26,111 - mmdet - INFO - Epoch [5][2800/7330] lr: 1.000e-04, eta: 1 day, 5:07:00, time: 0.437, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0412, loss_cls: 0.2065, acc: 92.7598, loss_bbox: 0.2488, loss_mask: 0.2496, loss: 0.7776 +2022-09-22 00:36:47,970 - mmdet - INFO - Epoch [5][2850/7330] lr: 1.000e-04, eta: 1 day, 5:06:32, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0407, loss_cls: 0.2167, acc: 92.5388, loss_bbox: 0.2558, loss_mask: 0.2503, loss: 0.7986 +2022-09-22 00:37:09,973 - mmdet - INFO - Epoch [5][2900/7330] lr: 1.000e-04, eta: 1 day, 5:06:05, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0364, loss_cls: 0.1972, acc: 93.2092, loss_bbox: 0.2382, loss_mask: 0.2459, loss: 0.7477 +2022-09-22 00:37:32,333 - mmdet - INFO - Epoch [5][2950/7330] lr: 1.000e-04, eta: 1 day, 5:05:41, time: 0.447, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0365, loss_cls: 0.1931, acc: 93.3335, loss_bbox: 0.2299, loss_mask: 0.2376, loss: 0.7292 +2022-09-22 00:37:53,967 - mmdet - INFO - Epoch [5][3000/7330] lr: 1.000e-04, eta: 1 day, 5:05:11, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0354, loss_cls: 0.1995, acc: 93.1511, loss_bbox: 0.2381, loss_mask: 0.2478, loss: 0.7513 +2022-09-22 00:38:15,911 - mmdet - INFO - Epoch [5][3050/7330] lr: 1.000e-04, eta: 1 day, 5:04:44, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0393, loss_cls: 0.2080, acc: 92.8591, loss_bbox: 0.2411, loss_mask: 0.2415, loss: 0.7622 +2022-09-22 00:38:37,850 - mmdet - INFO - Epoch [5][3100/7330] lr: 1.000e-04, eta: 1 day, 5:04:16, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0380, loss_cls: 0.2110, acc: 92.7520, loss_bbox: 0.2451, loss_mask: 0.2486, loss: 0.7752 +2022-09-22 00:38:59,609 - mmdet - INFO - Epoch [5][3150/7330] lr: 1.000e-04, eta: 1 day, 5:03:48, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0384, loss_cls: 0.2092, acc: 92.8071, loss_bbox: 0.2441, loss_mask: 0.2469, loss: 0.7710 +2022-09-22 00:39:21,256 - mmdet - INFO - Epoch [5][3200/7330] lr: 1.000e-04, eta: 1 day, 5:03:18, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0399, loss_cls: 0.2038, acc: 92.9951, loss_bbox: 0.2452, loss_mask: 0.2429, loss: 0.7675 +2022-09-22 00:39:43,118 - mmdet - INFO - Epoch [5][3250/7330] lr: 1.000e-04, eta: 1 day, 5:02:50, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0388, loss_cls: 0.2025, acc: 93.0574, loss_bbox: 0.2404, loss_mask: 0.2428, loss: 0.7567 +2022-09-22 00:40:05,016 - mmdet - INFO - Epoch [5][3300/7330] lr: 1.000e-04, eta: 1 day, 5:02:23, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0378, loss_cls: 0.2056, acc: 92.8572, loss_bbox: 0.2391, loss_mask: 0.2505, loss: 0.7660 +2022-09-22 00:40:26,922 - mmdet - INFO - Epoch [5][3350/7330] lr: 1.000e-04, eta: 1 day, 5:01:55, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0362, loss_cls: 0.2039, acc: 92.9736, loss_bbox: 0.2437, loss_mask: 0.2438, loss: 0.7580 +2022-09-22 00:40:48,399 - mmdet - INFO - Epoch [5][3400/7330] lr: 1.000e-04, eta: 1 day, 5:01:24, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0354, loss_cls: 0.1954, acc: 93.2183, loss_bbox: 0.2336, loss_mask: 0.2383, loss: 0.7339 +2022-09-22 00:41:09,488 - mmdet - INFO - Epoch [5][3450/7330] lr: 1.000e-04, eta: 1 day, 5:00:51, time: 0.423, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0366, loss_cls: 0.2051, acc: 92.9343, loss_bbox: 0.2442, loss_mask: 0.2465, loss: 0.7657 +2022-09-22 00:41:31,071 - mmdet - INFO - Epoch [5][3500/7330] lr: 1.000e-04, eta: 1 day, 5:00:22, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0377, loss_cls: 0.2028, acc: 92.9060, loss_bbox: 0.2414, loss_mask: 0.2446, loss: 0.7580 +2022-09-22 00:41:53,095 - mmdet - INFO - Epoch [5][3550/7330] lr: 1.000e-04, eta: 1 day, 4:59:55, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0354, loss_cls: 0.1993, acc: 93.1165, loss_bbox: 0.2364, loss_mask: 0.2414, loss: 0.7433 +2022-09-22 00:42:15,043 - mmdet - INFO - Epoch [5][3600/7330] lr: 1.000e-04, eta: 1 day, 4:59:28, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0389, loss_cls: 0.2034, acc: 92.9731, loss_bbox: 0.2460, loss_mask: 0.2459, loss: 0.7668 +2022-09-22 00:42:36,719 - mmdet - INFO - Epoch [5][3650/7330] lr: 1.000e-04, eta: 1 day, 4:58:59, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0342, loss_cls: 0.2014, acc: 92.9980, loss_bbox: 0.2343, loss_mask: 0.2464, loss: 0.7455 +2022-09-22 00:42:58,453 - mmdet - INFO - Epoch [5][3700/7330] lr: 1.000e-04, eta: 1 day, 4:58:30, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0400, loss_cls: 0.2106, acc: 92.7209, loss_bbox: 0.2509, loss_mask: 0.2542, loss: 0.7888 +2022-09-22 00:43:20,192 - mmdet - INFO - Epoch [5][3750/7330] lr: 1.000e-04, eta: 1 day, 4:58:02, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0365, loss_cls: 0.1936, acc: 93.2256, loss_bbox: 0.2303, loss_mask: 0.2340, loss: 0.7247 +2022-09-22 00:43:41,279 - mmdet - INFO - Epoch [5][3800/7330] lr: 1.000e-04, eta: 1 day, 4:57:29, time: 0.421, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0357, loss_cls: 0.1972, acc: 93.1453, loss_bbox: 0.2395, loss_mask: 0.2457, loss: 0.7484 +2022-09-22 00:44:03,170 - mmdet - INFO - Epoch [5][3850/7330] lr: 1.000e-04, eta: 1 day, 4:57:01, time: 0.438, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0367, loss_cls: 0.2059, acc: 92.8547, loss_bbox: 0.2448, loss_mask: 0.2495, loss: 0.7673 +2022-09-22 00:44:24,587 - mmdet - INFO - Epoch [5][3900/7330] lr: 1.000e-04, eta: 1 day, 4:56:31, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0368, loss_cls: 0.2056, acc: 92.8682, loss_bbox: 0.2435, loss_mask: 0.2437, loss: 0.7591 +2022-09-22 00:44:46,554 - mmdet - INFO - Epoch [5][3950/7330] lr: 1.000e-04, eta: 1 day, 4:56:04, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0410, loss_cls: 0.2151, acc: 92.4993, loss_bbox: 0.2572, loss_mask: 0.2510, loss: 0.7959 +2022-09-22 00:45:08,369 - mmdet - INFO - Epoch [5][4000/7330] lr: 1.000e-04, eta: 1 day, 4:55:36, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0370, loss_cls: 0.1977, acc: 93.1516, loss_bbox: 0.2359, loss_mask: 0.2457, loss: 0.7505 +2022-09-22 00:45:30,475 - mmdet - INFO - Epoch [5][4050/7330] lr: 1.000e-04, eta: 1 day, 4:55:10, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0381, loss_cls: 0.2005, acc: 93.1348, loss_bbox: 0.2349, loss_mask: 0.2425, loss: 0.7490 +2022-09-22 00:45:52,460 - mmdet - INFO - Epoch [5][4100/7330] lr: 1.000e-04, eta: 1 day, 4:54:43, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0371, loss_cls: 0.1975, acc: 93.1943, loss_bbox: 0.2313, loss_mask: 0.2411, loss: 0.7391 +2022-09-22 00:46:14,475 - mmdet - INFO - Epoch [5][4150/7330] lr: 1.000e-04, eta: 1 day, 4:54:17, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0370, loss_cls: 0.2014, acc: 92.9998, loss_bbox: 0.2384, loss_mask: 0.2453, loss: 0.7553 +2022-09-22 00:46:36,059 - mmdet - INFO - Epoch [5][4200/7330] lr: 1.000e-04, eta: 1 day, 4:53:47, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0367, loss_cls: 0.2107, acc: 92.7000, loss_bbox: 0.2467, loss_mask: 0.2483, loss: 0.7746 +2022-09-22 00:46:57,859 - mmdet - INFO - Epoch [5][4250/7330] lr: 1.000e-04, eta: 1 day, 4:53:19, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0387, loss_cls: 0.2054, acc: 92.7424, loss_bbox: 0.2477, loss_mask: 0.2435, loss: 0.7676 +2022-09-22 00:47:19,609 - mmdet - INFO - Epoch [5][4300/7330] lr: 1.000e-04, eta: 1 day, 4:52:51, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0371, loss_cls: 0.1941, acc: 93.2568, loss_bbox: 0.2332, loss_mask: 0.2404, loss: 0.7344 +2022-09-22 00:47:41,545 - mmdet - INFO - Epoch [5][4350/7330] lr: 1.000e-04, eta: 1 day, 4:52:24, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0350, loss_cls: 0.1914, acc: 93.2969, loss_bbox: 0.2355, loss_mask: 0.2432, loss: 0.7337 +2022-09-22 00:48:03,351 - mmdet - INFO - Epoch [5][4400/7330] lr: 1.000e-04, eta: 1 day, 4:51:56, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0405, loss_cls: 0.2166, acc: 92.5383, loss_bbox: 0.2555, loss_mask: 0.2530, loss: 0.7991 +2022-09-22 00:48:25,260 - mmdet - INFO - Epoch [5][4450/7330] lr: 1.000e-04, eta: 1 day, 4:51:29, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0390, loss_cls: 0.2072, acc: 92.7546, loss_bbox: 0.2469, loss_mask: 0.2409, loss: 0.7651 +2022-09-22 00:48:46,978 - mmdet - INFO - Epoch [5][4500/7330] lr: 1.000e-04, eta: 1 day, 4:51:01, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0374, loss_cls: 0.2042, acc: 92.8447, loss_bbox: 0.2475, loss_mask: 0.2462, loss: 0.7656 +2022-09-22 00:49:08,995 - mmdet - INFO - Epoch [5][4550/7330] lr: 1.000e-04, eta: 1 day, 4:50:34, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0385, loss_cls: 0.2030, acc: 92.9521, loss_bbox: 0.2454, loss_mask: 0.2428, loss: 0.7603 +2022-09-22 00:49:30,682 - mmdet - INFO - Epoch [5][4600/7330] lr: 1.000e-04, eta: 1 day, 4:50:06, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0392, loss_cls: 0.2207, acc: 92.3621, loss_bbox: 0.2562, loss_mask: 0.2531, loss: 0.8051 +2022-09-22 00:49:52,294 - mmdet - INFO - Epoch [5][4650/7330] lr: 1.000e-04, eta: 1 day, 4:49:37, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0344, loss_cls: 0.2022, acc: 93.0012, loss_bbox: 0.2386, loss_mask: 0.2485, loss: 0.7532 +2022-09-22 00:50:14,512 - mmdet - INFO - Epoch [5][4700/7330] lr: 1.000e-04, eta: 1 day, 4:49:12, time: 0.444, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0393, loss_cls: 0.2047, acc: 92.8577, loss_bbox: 0.2432, loss_mask: 0.2439, loss: 0.7645 +2022-09-22 00:50:36,528 - mmdet - INFO - Epoch [5][4750/7330] lr: 1.000e-04, eta: 1 day, 4:48:45, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0377, loss_cls: 0.2058, acc: 92.8293, loss_bbox: 0.2400, loss_mask: 0.2474, loss: 0.7628 +2022-09-22 00:50:58,994 - mmdet - INFO - Epoch [5][4800/7330] lr: 1.000e-04, eta: 1 day, 4:48:22, time: 0.449, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0375, loss_cls: 0.2056, acc: 92.7791, loss_bbox: 0.2424, loss_mask: 0.2481, loss: 0.7656 +2022-09-22 00:51:20,691 - mmdet - INFO - Epoch [5][4850/7330] lr: 1.000e-04, eta: 1 day, 4:47:54, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0346, loss_cls: 0.1912, acc: 93.3750, loss_bbox: 0.2299, loss_mask: 0.2406, loss: 0.7250 +2022-09-22 00:51:42,446 - mmdet - INFO - Epoch [5][4900/7330] lr: 1.000e-04, eta: 1 day, 4:47:26, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0417, loss_cls: 0.2113, acc: 92.7234, loss_bbox: 0.2473, loss_mask: 0.2522, loss: 0.7851 +2022-09-22 00:52:04,181 - mmdet - INFO - Epoch [5][4950/7330] lr: 1.000e-04, eta: 1 day, 4:46:58, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0371, loss_cls: 0.2110, acc: 92.6997, loss_bbox: 0.2488, loss_mask: 0.2499, loss: 0.7786 +2022-09-22 00:52:25,792 - mmdet - INFO - Epoch [5][5000/7330] lr: 1.000e-04, eta: 1 day, 4:46:29, time: 0.432, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0345, loss_cls: 0.1909, acc: 93.4883, loss_bbox: 0.2272, loss_mask: 0.2445, loss: 0.7269 +2022-09-22 00:52:47,461 - mmdet - INFO - Epoch [5][5050/7330] lr: 1.000e-04, eta: 1 day, 4:46:00, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0391, loss_cls: 0.2066, acc: 92.8213, loss_bbox: 0.2418, loss_mask: 0.2506, loss: 0.7697 +2022-09-22 00:53:08,975 - mmdet - INFO - Epoch [5][5100/7330] lr: 1.000e-04, eta: 1 day, 4:45:31, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0371, loss_cls: 0.2023, acc: 93.0225, loss_bbox: 0.2402, loss_mask: 0.2461, loss: 0.7569 +2022-09-22 00:53:30,727 - mmdet - INFO - Epoch [5][5150/7330] lr: 1.000e-04, eta: 1 day, 4:45:02, time: 0.434, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0402, loss_cls: 0.2141, acc: 92.6169, loss_bbox: 0.2465, loss_mask: 0.2464, loss: 0.7815 +2022-09-22 00:53:52,639 - mmdet - INFO - Epoch [5][5200/7330] lr: 1.000e-04, eta: 1 day, 4:44:36, time: 0.439, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0390, loss_cls: 0.2128, acc: 92.7197, loss_bbox: 0.2469, loss_mask: 0.2493, loss: 0.7803 +2022-09-22 00:54:14,402 - mmdet - INFO - Epoch [5][5250/7330] lr: 1.000e-04, eta: 1 day, 4:44:08, time: 0.435, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0376, loss_cls: 0.2060, acc: 92.9519, loss_bbox: 0.2430, loss_mask: 0.2480, loss: 0.7657 +2022-09-22 00:54:35,746 - mmdet - INFO - Epoch [5][5300/7330] lr: 1.000e-04, eta: 1 day, 4:43:37, time: 0.427, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0362, loss_cls: 0.2139, acc: 92.6531, loss_bbox: 0.2489, loss_mask: 0.2475, loss: 0.7782 +2022-09-22 00:54:57,507 - mmdet - INFO - Epoch [5][5350/7330] lr: 1.000e-04, eta: 1 day, 4:43:10, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0359, loss_cls: 0.1955, acc: 93.1765, loss_bbox: 0.2368, loss_mask: 0.2417, loss: 0.7392 +2022-09-22 00:55:19,259 - mmdet - INFO - Epoch [5][5400/7330] lr: 1.000e-04, eta: 1 day, 4:42:42, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0379, loss_cls: 0.2056, acc: 93.0156, loss_bbox: 0.2419, loss_mask: 0.2470, loss: 0.7651 +2022-09-22 00:55:40,843 - mmdet - INFO - Epoch [5][5450/7330] lr: 1.000e-04, eta: 1 day, 4:42:13, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0413, loss_cls: 0.2071, acc: 92.7805, loss_bbox: 0.2474, loss_mask: 0.2427, loss: 0.7730 +2022-09-22 00:56:02,580 - mmdet - INFO - Epoch [5][5500/7330] lr: 1.000e-04, eta: 1 day, 4:41:45, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0376, loss_cls: 0.1972, acc: 93.1575, loss_bbox: 0.2367, loss_mask: 0.2416, loss: 0.7439 +2022-09-22 00:56:24,785 - mmdet - INFO - Epoch [5][5550/7330] lr: 1.000e-04, eta: 1 day, 4:41:20, time: 0.444, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0394, loss_cls: 0.2013, acc: 93.0808, loss_bbox: 0.2422, loss_mask: 0.2502, loss: 0.7652 +2022-09-22 00:56:46,073 - mmdet - INFO - Epoch [5][5600/7330] lr: 1.000e-04, eta: 1 day, 4:40:49, time: 0.426, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0354, loss_cls: 0.1993, acc: 93.1758, loss_bbox: 0.2321, loss_mask: 0.2435, loss: 0.7401 +2022-09-22 00:57:07,963 - mmdet - INFO - Epoch [5][5650/7330] lr: 1.000e-04, eta: 1 day, 4:40:22, time: 0.438, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0375, loss_cls: 0.1989, acc: 93.0889, loss_bbox: 0.2377, loss_mask: 0.2462, loss: 0.7502 +2022-09-22 00:57:29,982 - mmdet - INFO - Epoch [5][5700/7330] lr: 1.000e-04, eta: 1 day, 4:39:56, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0370, loss_cls: 0.2027, acc: 92.9739, loss_bbox: 0.2406, loss_mask: 0.2449, loss: 0.7567 +2022-09-22 00:57:51,915 - mmdet - INFO - Epoch [5][5750/7330] lr: 1.000e-04, eta: 1 day, 4:39:30, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0392, loss_cls: 0.2051, acc: 92.8269, loss_bbox: 0.2442, loss_mask: 0.2488, loss: 0.7709 +2022-09-22 00:58:13,769 - mmdet - INFO - Epoch [5][5800/7330] lr: 1.000e-04, eta: 1 day, 4:39:03, time: 0.437, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0383, loss_cls: 0.2130, acc: 92.6177, loss_bbox: 0.2510, loss_mask: 0.2476, loss: 0.7815 +2022-09-22 00:58:35,208 - mmdet - INFO - Epoch [5][5850/7330] lr: 1.000e-04, eta: 1 day, 4:38:33, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0382, loss_cls: 0.2059, acc: 92.9465, loss_bbox: 0.2407, loss_mask: 0.2497, loss: 0.7684 +2022-09-22 00:58:56,736 - mmdet - INFO - Epoch [5][5900/7330] lr: 1.000e-04, eta: 1 day, 4:38:04, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0379, loss_cls: 0.2091, acc: 92.8025, loss_bbox: 0.2445, loss_mask: 0.2448, loss: 0.7663 +2022-09-22 00:59:18,475 - mmdet - INFO - Epoch [5][5950/7330] lr: 1.000e-04, eta: 1 day, 4:37:36, time: 0.435, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0369, loss_cls: 0.1966, acc: 93.1633, loss_bbox: 0.2356, loss_mask: 0.2464, loss: 0.7480 +2022-09-22 00:59:39,912 - mmdet - INFO - Epoch [5][6000/7330] lr: 1.000e-04, eta: 1 day, 4:37:06, time: 0.428, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0347, loss_cls: 0.1906, acc: 93.3125, loss_bbox: 0.2273, loss_mask: 0.2454, loss: 0.7280 +2022-09-22 01:00:01,707 - mmdet - INFO - Epoch [5][6050/7330] lr: 1.000e-04, eta: 1 day, 4:36:39, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0400, loss_cls: 0.2170, acc: 92.4321, loss_bbox: 0.2564, loss_mask: 0.2538, loss: 0.8000 +2022-09-22 01:00:23,401 - mmdet - INFO - Epoch [5][6100/7330] lr: 1.000e-04, eta: 1 day, 4:36:11, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0367, loss_cls: 0.1979, acc: 93.1489, loss_bbox: 0.2325, loss_mask: 0.2404, loss: 0.7408 +2022-09-22 01:00:45,254 - mmdet - INFO - Epoch [5][6150/7330] lr: 1.000e-04, eta: 1 day, 4:35:44, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0382, loss_cls: 0.2090, acc: 92.7346, loss_bbox: 0.2469, loss_mask: 0.2520, loss: 0.7776 +2022-09-22 01:01:07,140 - mmdet - INFO - Epoch [5][6200/7330] lr: 1.000e-04, eta: 1 day, 4:35:18, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0400, loss_cls: 0.2041, acc: 92.9424, loss_bbox: 0.2458, loss_mask: 0.2462, loss: 0.7688 +2022-09-22 01:01:28,890 - mmdet - INFO - Epoch [5][6250/7330] lr: 1.000e-04, eta: 1 day, 4:34:50, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0386, loss_cls: 0.2081, acc: 92.8645, loss_bbox: 0.2454, loss_mask: 0.2462, loss: 0.7711 +2022-09-22 01:01:50,237 - mmdet - INFO - Epoch [5][6300/7330] lr: 1.000e-04, eta: 1 day, 4:34:20, time: 0.427, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0374, loss_cls: 0.2053, acc: 92.9055, loss_bbox: 0.2417, loss_mask: 0.2520, loss: 0.7693 +2022-09-22 01:02:12,373 - mmdet - INFO - Epoch [5][6350/7330] lr: 1.000e-04, eta: 1 day, 4:33:55, time: 0.443, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0368, loss_cls: 0.2045, acc: 92.9648, loss_bbox: 0.2392, loss_mask: 0.2438, loss: 0.7543 +2022-09-22 01:02:33,903 - mmdet - INFO - Epoch [5][6400/7330] lr: 1.000e-04, eta: 1 day, 4:33:26, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0356, loss_cls: 0.2053, acc: 92.8955, loss_bbox: 0.2440, loss_mask: 0.2514, loss: 0.7653 +2022-09-22 01:02:55,580 - mmdet - INFO - Epoch [5][6450/7330] lr: 1.000e-04, eta: 1 day, 4:32:58, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0382, loss_cls: 0.2014, acc: 92.9578, loss_bbox: 0.2459, loss_mask: 0.2496, loss: 0.7682 +2022-09-22 01:03:17,404 - mmdet - INFO - Epoch [5][6500/7330] lr: 1.000e-04, eta: 1 day, 4:32:31, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0363, loss_cls: 0.1921, acc: 93.4282, loss_bbox: 0.2320, loss_mask: 0.2386, loss: 0.7291 +2022-09-22 01:03:39,275 - mmdet - INFO - Epoch [5][6550/7330] lr: 1.000e-04, eta: 1 day, 4:32:04, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0371, loss_cls: 0.2066, acc: 92.8267, loss_bbox: 0.2412, loss_mask: 0.2442, loss: 0.7619 +2022-09-22 01:04:00,754 - mmdet - INFO - Epoch [5][6600/7330] lr: 1.000e-04, eta: 1 day, 4:31:35, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0382, loss_cls: 0.1973, acc: 93.0730, loss_bbox: 0.2404, loss_mask: 0.2461, loss: 0.7529 +2022-09-22 01:04:22,425 - mmdet - INFO - Epoch [5][6650/7330] lr: 1.000e-04, eta: 1 day, 4:31:07, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0357, loss_cls: 0.1970, acc: 93.1838, loss_bbox: 0.2377, loss_mask: 0.2432, loss: 0.7441 +2022-09-22 01:04:44,432 - mmdet - INFO - Epoch [5][6700/7330] lr: 1.000e-04, eta: 1 day, 4:30:41, time: 0.440, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0378, loss_cls: 0.1969, acc: 93.0911, loss_bbox: 0.2389, loss_mask: 0.2449, loss: 0.7507 +2022-09-22 01:05:06,158 - mmdet - INFO - Epoch [5][6750/7330] lr: 1.000e-04, eta: 1 day, 4:30:14, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0366, loss_cls: 0.2094, acc: 92.8354, loss_bbox: 0.2425, loss_mask: 0.2475, loss: 0.7702 +2022-09-22 01:05:27,679 - mmdet - INFO - Epoch [5][6800/7330] lr: 1.000e-04, eta: 1 day, 4:29:45, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0375, loss_cls: 0.2026, acc: 92.9487, loss_bbox: 0.2367, loss_mask: 0.2404, loss: 0.7494 +2022-09-22 01:05:49,187 - mmdet - INFO - Epoch [5][6850/7330] lr: 1.000e-04, eta: 1 day, 4:29:16, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0375, loss_cls: 0.2040, acc: 92.9033, loss_bbox: 0.2389, loss_mask: 0.2472, loss: 0.7592 +2022-09-22 01:06:11,081 - mmdet - INFO - Epoch [5][6900/7330] lr: 1.000e-04, eta: 1 day, 4:28:50, time: 0.438, data_time: 0.022, memory: 30699, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0399, loss_cls: 0.2000, acc: 92.9744, loss_bbox: 0.2395, loss_mask: 0.2463, loss: 0.7586 +2022-09-22 01:06:33,191 - mmdet - INFO - Epoch [5][6950/7330] lr: 1.000e-04, eta: 1 day, 4:28:24, time: 0.441, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0350, loss_cls: 0.1998, acc: 93.1714, loss_bbox: 0.2295, loss_mask: 0.2402, loss: 0.7357 +2022-09-22 01:06:55,113 - mmdet - INFO - Epoch [5][7000/7330] lr: 1.000e-04, eta: 1 day, 4:27:58, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0396, loss_cls: 0.2088, acc: 92.8225, loss_bbox: 0.2507, loss_mask: 0.2472, loss: 0.7806 +2022-09-22 01:07:16,865 - mmdet - INFO - Epoch [5][7050/7330] lr: 1.000e-04, eta: 1 day, 4:27:31, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0380, loss_cls: 0.1965, acc: 93.1733, loss_bbox: 0.2383, loss_mask: 0.2428, loss: 0.7448 +2022-09-22 01:07:38,882 - mmdet - INFO - Epoch [5][7100/7330] lr: 1.000e-04, eta: 1 day, 4:27:05, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0387, loss_cls: 0.2053, acc: 92.8560, loss_bbox: 0.2439, loss_mask: 0.2535, loss: 0.7732 +2022-09-22 01:08:00,576 - mmdet - INFO - Epoch [5][7150/7330] lr: 1.000e-04, eta: 1 day, 4:26:38, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0372, loss_cls: 0.2033, acc: 92.9836, loss_bbox: 0.2427, loss_mask: 0.2427, loss: 0.7596 +2022-09-22 01:08:22,651 - mmdet - INFO - Epoch [5][7200/7330] lr: 1.000e-04, eta: 1 day, 4:26:12, time: 0.442, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0362, loss_cls: 0.1945, acc: 93.2144, loss_bbox: 0.2349, loss_mask: 0.2442, loss: 0.7415 +2022-09-22 01:08:44,183 - mmdet - INFO - Epoch [5][7250/7330] lr: 1.000e-04, eta: 1 day, 4:25:44, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0384, loss_cls: 0.1995, acc: 93.1775, loss_bbox: 0.2342, loss_mask: 0.2414, loss: 0.7467 +2022-09-22 01:09:06,095 - mmdet - INFO - Epoch [5][7300/7330] lr: 1.000e-04, eta: 1 day, 4:25:18, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0419, loss_cls: 0.2107, acc: 92.6404, loss_bbox: 0.2519, loss_mask: 0.2440, loss: 0.7817 +2022-09-22 01:09:28,934 - mmdet - INFO - Saving checkpoint at 5 epochs +2022-09-22 01:11:16,573 - mmdet - INFO - Evaluating bbox... +2022-09-22 01:11:47,404 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.431 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.667 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.470 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.285 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.466 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.568 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.567 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.567 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.567 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.398 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.713 + +2022-09-22 01:11:47,405 - mmdet - INFO - Evaluating segm... +2022-09-22 01:12:19,530 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.391 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.635 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.416 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.215 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.427 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.575 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.519 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.519 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.519 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.342 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.559 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.680 + +2022-09-22 01:12:20,075 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 01:12:20,077 - mmdet - INFO - Epoch(val) [5][625] bbox_mAP: 0.4310, bbox_mAP_50: 0.6670, bbox_mAP_75: 0.4700, bbox_mAP_s: 0.2850, bbox_mAP_m: 0.4660, bbox_mAP_l: 0.5680, bbox_mAP_copypaste: 0.431 0.667 0.470 0.285 0.466 0.568, segm_mAP: 0.3910, segm_mAP_50: 0.6350, segm_mAP_75: 0.4160, segm_mAP_s: 0.2150, segm_mAP_m: 0.4270, segm_mAP_l: 0.5750, segm_mAP_copypaste: 0.391 0.635 0.416 0.215 0.427 0.575 +2022-09-22 01:14:39,786 - mmdet - INFO - Epoch [6][50/7330] lr: 1.000e-04, eta: 1 day, 4:35:23, time: 2.794, data_time: 2.362, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0362, loss_cls: 0.2008, acc: 92.9817, loss_bbox: 0.2394, loss_mask: 0.2377, loss: 0.7445 +2022-09-22 01:15:02,569 - mmdet - INFO - Epoch [6][100/7330] lr: 1.000e-04, eta: 1 day, 4:35:01, time: 0.456, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0373, loss_cls: 0.2056, acc: 92.8594, loss_bbox: 0.2426, loss_mask: 0.2448, loss: 0.7591 +2022-09-22 01:15:24,631 - mmdet - INFO - Epoch [6][150/7330] lr: 1.000e-04, eta: 1 day, 4:34:35, time: 0.441, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0364, loss_cls: 0.1933, acc: 93.2002, loss_bbox: 0.2356, loss_mask: 0.2402, loss: 0.7343 +2022-09-22 01:15:46,281 - mmdet - INFO - Epoch [6][200/7330] lr: 1.000e-04, eta: 1 day, 4:34:06, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0357, loss_cls: 0.1992, acc: 93.0975, loss_bbox: 0.2347, loss_mask: 0.2410, loss: 0.7414 +2022-09-22 01:16:07,783 - mmdet - INFO - Epoch [6][250/7330] lr: 1.000e-04, eta: 1 day, 4:33:37, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0341, loss_cls: 0.1856, acc: 93.4849, loss_bbox: 0.2312, loss_mask: 0.2346, loss: 0.7138 +2022-09-22 01:16:29,452 - mmdet - INFO - Epoch [6][300/7330] lr: 1.000e-04, eta: 1 day, 4:33:08, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0368, loss_cls: 0.1968, acc: 93.0144, loss_bbox: 0.2437, loss_mask: 0.2382, loss: 0.7459 +2022-09-22 01:16:52,041 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 01:16:52,041 - mmdet - INFO - Epoch [6][350/7330] lr: 1.000e-04, eta: 1 day, 4:32:45, time: 0.452, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0375, loss_cls: 0.2027, acc: 92.8586, loss_bbox: 0.2450, loss_mask: 0.2435, loss: 0.7604 +2022-09-22 01:17:13,978 - mmdet - INFO - Epoch [6][400/7330] lr: 1.000e-04, eta: 1 day, 4:32:18, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0372, loss_cls: 0.1991, acc: 93.0527, loss_bbox: 0.2390, loss_mask: 0.2436, loss: 0.7504 +2022-09-22 01:17:36,453 - mmdet - INFO - Epoch [6][450/7330] lr: 1.000e-04, eta: 1 day, 4:31:54, time: 0.449, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0351, loss_cls: 0.1929, acc: 93.3132, loss_bbox: 0.2288, loss_mask: 0.2386, loss: 0.7256 +2022-09-22 01:17:58,397 - mmdet - INFO - Epoch [6][500/7330] lr: 1.000e-04, eta: 1 day, 4:31:27, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0359, loss_cls: 0.2008, acc: 92.9846, loss_bbox: 0.2425, loss_mask: 0.2440, loss: 0.7517 +2022-09-22 01:18:20,532 - mmdet - INFO - Epoch [6][550/7330] lr: 1.000e-04, eta: 1 day, 4:31:02, time: 0.443, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0367, loss_cls: 0.1992, acc: 93.0674, loss_bbox: 0.2378, loss_mask: 0.2445, loss: 0.7490 +2022-09-22 01:18:43,136 - mmdet - INFO - Epoch [6][600/7330] lr: 1.000e-04, eta: 1 day, 4:30:39, time: 0.452, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0367, loss_cls: 0.2005, acc: 93.1931, loss_bbox: 0.2365, loss_mask: 0.2403, loss: 0.7434 +2022-09-22 01:19:05,158 - mmdet - INFO - Epoch [6][650/7330] lr: 1.000e-04, eta: 1 day, 4:30:12, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0356, loss_cls: 0.1925, acc: 93.1687, loss_bbox: 0.2306, loss_mask: 0.2348, loss: 0.7227 +2022-09-22 01:19:27,321 - mmdet - INFO - Epoch [6][700/7330] lr: 1.000e-04, eta: 1 day, 4:29:47, time: 0.443, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0364, loss_cls: 0.1915, acc: 93.4377, loss_bbox: 0.2302, loss_mask: 0.2334, loss: 0.7242 +2022-09-22 01:19:49,422 - mmdet - INFO - Epoch [6][750/7330] lr: 1.000e-04, eta: 1 day, 4:29:20, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0391, loss_cls: 0.1967, acc: 93.1155, loss_bbox: 0.2396, loss_mask: 0.2443, loss: 0.7505 +2022-09-22 01:20:11,273 - mmdet - INFO - Epoch [6][800/7330] lr: 1.000e-04, eta: 1 day, 4:28:53, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0352, loss_cls: 0.1916, acc: 93.3335, loss_bbox: 0.2303, loss_mask: 0.2404, loss: 0.7268 +2022-09-22 01:20:32,896 - mmdet - INFO - Epoch [6][850/7330] lr: 1.000e-04, eta: 1 day, 4:28:24, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0370, loss_cls: 0.2002, acc: 93.0015, loss_bbox: 0.2368, loss_mask: 0.2399, loss: 0.7444 +2022-09-22 01:20:54,872 - mmdet - INFO - Epoch [6][900/7330] lr: 1.000e-04, eta: 1 day, 4:27:58, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0365, loss_cls: 0.1963, acc: 93.1553, loss_bbox: 0.2360, loss_mask: 0.2374, loss: 0.7356 +2022-09-22 01:21:17,188 - mmdet - INFO - Epoch [6][950/7330] lr: 1.000e-04, eta: 1 day, 4:27:33, time: 0.446, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0357, loss_cls: 0.1937, acc: 93.2874, loss_bbox: 0.2310, loss_mask: 0.2449, loss: 0.7331 +2022-09-22 01:21:39,445 - mmdet - INFO - Epoch [6][1000/7330] lr: 1.000e-04, eta: 1 day, 4:27:08, time: 0.444, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0355, loss_cls: 0.1894, acc: 93.3708, loss_bbox: 0.2291, loss_mask: 0.2348, loss: 0.7176 +2022-09-22 01:22:01,142 - mmdet - INFO - Epoch [6][1050/7330] lr: 1.000e-04, eta: 1 day, 4:26:40, time: 0.435, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0361, loss_cls: 0.1897, acc: 93.3184, loss_bbox: 0.2327, loss_mask: 0.2407, loss: 0.7293 +2022-09-22 01:22:22,673 - mmdet - INFO - Epoch [6][1100/7330] lr: 1.000e-04, eta: 1 day, 4:26:11, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0338, loss_cls: 0.1914, acc: 93.4294, loss_bbox: 0.2307, loss_mask: 0.2364, loss: 0.7196 +2022-09-22 01:22:44,238 - mmdet - INFO - Epoch [6][1150/7330] lr: 1.000e-04, eta: 1 day, 4:25:42, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0363, loss_cls: 0.1987, acc: 93.0122, loss_bbox: 0.2385, loss_mask: 0.2399, loss: 0.7461 +2022-09-22 01:23:05,838 - mmdet - INFO - Epoch [6][1200/7330] lr: 1.000e-04, eta: 1 day, 4:25:13, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0415, loss_cls: 0.2013, acc: 92.9519, loss_bbox: 0.2435, loss_mask: 0.2402, loss: 0.7598 +2022-09-22 01:23:27,516 - mmdet - INFO - Epoch [6][1250/7330] lr: 1.000e-04, eta: 1 day, 4:24:45, time: 0.434, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0376, loss_cls: 0.1917, acc: 93.1621, loss_bbox: 0.2354, loss_mask: 0.2380, loss: 0.7316 +2022-09-22 01:23:49,089 - mmdet - INFO - Epoch [6][1300/7330] lr: 1.000e-04, eta: 1 day, 4:24:16, time: 0.431, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0356, loss_cls: 0.2006, acc: 93.0156, loss_bbox: 0.2352, loss_mask: 0.2411, loss: 0.7431 +2022-09-22 01:24:11,037 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 01:24:11,038 - mmdet - INFO - Epoch [6][1350/7330] lr: 1.000e-04, eta: 1 day, 4:23:49, time: 0.439, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0375, loss_cls: 0.1941, acc: 93.0413, loss_bbox: 0.2381, loss_mask: 0.2402, loss: 0.7381 +2022-09-22 01:24:32,713 - mmdet - INFO - Epoch [6][1400/7330] lr: 1.000e-04, eta: 1 day, 4:23:21, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0384, loss_cls: 0.2007, acc: 93.0215, loss_bbox: 0.2408, loss_mask: 0.2455, loss: 0.7561 +2022-09-22 01:24:54,815 - mmdet - INFO - Epoch [6][1450/7330] lr: 1.000e-04, eta: 1 day, 4:22:55, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0393, loss_cls: 0.2012, acc: 92.8496, loss_bbox: 0.2452, loss_mask: 0.2430, loss: 0.7587 +2022-09-22 01:25:16,387 - mmdet - INFO - Epoch [6][1500/7330] lr: 1.000e-04, eta: 1 day, 4:22:26, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0390, loss_cls: 0.1954, acc: 93.1562, loss_bbox: 0.2350, loss_mask: 0.2423, loss: 0.7473 +2022-09-22 01:25:38,217 - mmdet - INFO - Epoch [6][1550/7330] lr: 1.000e-04, eta: 1 day, 4:21:59, time: 0.437, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0391, loss_cls: 0.1976, acc: 93.1221, loss_bbox: 0.2368, loss_mask: 0.2373, loss: 0.7411 +2022-09-22 01:25:59,819 - mmdet - INFO - Epoch [6][1600/7330] lr: 1.000e-04, eta: 1 day, 4:21:30, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0354, loss_cls: 0.1927, acc: 93.1770, loss_bbox: 0.2365, loss_mask: 0.2395, loss: 0.7318 +2022-09-22 01:26:21,265 - mmdet - INFO - Epoch [6][1650/7330] lr: 1.000e-04, eta: 1 day, 4:21:01, time: 0.429, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0369, loss_cls: 0.1958, acc: 93.1929, loss_bbox: 0.2335, loss_mask: 0.2416, loss: 0.7387 +2022-09-22 01:26:43,062 - mmdet - INFO - Epoch [6][1700/7330] lr: 1.000e-04, eta: 1 day, 4:20:33, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0368, loss_cls: 0.1960, acc: 93.1863, loss_bbox: 0.2396, loss_mask: 0.2372, loss: 0.7384 +2022-09-22 01:27:04,773 - mmdet - INFO - Epoch [6][1750/7330] lr: 1.000e-04, eta: 1 day, 4:20:05, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0375, loss_cls: 0.1968, acc: 93.1738, loss_bbox: 0.2343, loss_mask: 0.2444, loss: 0.7422 +2022-09-22 01:27:26,535 - mmdet - INFO - Epoch [6][1800/7330] lr: 1.000e-04, eta: 1 day, 4:19:37, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0371, loss_cls: 0.2012, acc: 93.0784, loss_bbox: 0.2326, loss_mask: 0.2374, loss: 0.7388 +2022-09-22 01:27:48,435 - mmdet - INFO - Epoch [6][1850/7330] lr: 1.000e-04, eta: 1 day, 4:19:10, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0376, loss_cls: 0.1944, acc: 93.1655, loss_bbox: 0.2354, loss_mask: 0.2398, loss: 0.7370 +2022-09-22 01:28:09,997 - mmdet - INFO - Epoch [6][1900/7330] lr: 1.000e-04, eta: 1 day, 4:18:41, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0372, loss_cls: 0.2028, acc: 92.9790, loss_bbox: 0.2364, loss_mask: 0.2426, loss: 0.7518 +2022-09-22 01:28:31,699 - mmdet - INFO - Epoch [6][1950/7330] lr: 1.000e-04, eta: 1 day, 4:18:14, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0363, loss_cls: 0.2007, acc: 93.0049, loss_bbox: 0.2359, loss_mask: 0.2360, loss: 0.7420 +2022-09-22 01:28:53,296 - mmdet - INFO - Epoch [6][2000/7330] lr: 1.000e-04, eta: 1 day, 4:17:45, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0392, loss_cls: 0.2031, acc: 92.9595, loss_bbox: 0.2385, loss_mask: 0.2483, loss: 0.7618 +2022-09-22 01:29:14,769 - mmdet - INFO - Epoch [6][2050/7330] lr: 1.000e-04, eta: 1 day, 4:17:16, time: 0.429, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0367, loss_cls: 0.2072, acc: 92.9707, loss_bbox: 0.2367, loss_mask: 0.2425, loss: 0.7525 +2022-09-22 01:29:36,383 - mmdet - INFO - Epoch [6][2100/7330] lr: 1.000e-04, eta: 1 day, 4:16:48, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0386, loss_cls: 0.2011, acc: 92.9072, loss_bbox: 0.2450, loss_mask: 0.2406, loss: 0.7571 +2022-09-22 01:29:58,244 - mmdet - INFO - Epoch [6][2150/7330] lr: 1.000e-04, eta: 1 day, 4:16:21, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0369, loss_cls: 0.1935, acc: 93.2053, loss_bbox: 0.2310, loss_mask: 0.2363, loss: 0.7275 +2022-09-22 01:30:19,784 - mmdet - INFO - Epoch [6][2200/7330] lr: 1.000e-04, eta: 1 day, 4:15:52, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0375, loss_cls: 0.1983, acc: 93.0391, loss_bbox: 0.2390, loss_mask: 0.2328, loss: 0.7375 +2022-09-22 01:30:41,297 - mmdet - INFO - Epoch [6][2250/7330] lr: 1.000e-04, eta: 1 day, 4:15:23, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0371, loss_cls: 0.2026, acc: 92.8745, loss_bbox: 0.2454, loss_mask: 0.2419, loss: 0.7571 +2022-09-22 01:31:03,874 - mmdet - INFO - Epoch [6][2300/7330] lr: 1.000e-04, eta: 1 day, 4:15:00, time: 0.452, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0366, loss_cls: 0.1992, acc: 92.9060, loss_bbox: 0.2394, loss_mask: 0.2430, loss: 0.7466 +2022-09-22 01:31:26,007 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 01:31:26,008 - mmdet - INFO - Epoch [6][2350/7330] lr: 1.000e-04, eta: 1 day, 4:14:35, time: 0.443, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0377, loss_cls: 0.2065, acc: 92.7222, loss_bbox: 0.2467, loss_mask: 0.2472, loss: 0.7681 +2022-09-22 01:31:47,276 - mmdet - INFO - Epoch [6][2400/7330] lr: 1.000e-04, eta: 1 day, 4:14:04, time: 0.425, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0342, loss_cls: 0.2006, acc: 93.0381, loss_bbox: 0.2378, loss_mask: 0.2408, loss: 0.7425 +2022-09-22 01:32:08,557 - mmdet - INFO - Epoch [6][2450/7330] lr: 1.000e-04, eta: 1 day, 4:13:34, time: 0.426, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0334, loss_cls: 0.1877, acc: 93.4060, loss_bbox: 0.2263, loss_mask: 0.2390, loss: 0.7145 +2022-09-22 01:32:30,223 - mmdet - INFO - Epoch [6][2500/7330] lr: 1.000e-04, eta: 1 day, 4:13:06, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0371, loss_cls: 0.1998, acc: 93.0039, loss_bbox: 0.2418, loss_mask: 0.2402, loss: 0.7499 +2022-09-22 01:32:51,937 - mmdet - INFO - Epoch [6][2550/7330] lr: 1.000e-04, eta: 1 day, 4:12:39, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0358, loss_cls: 0.1896, acc: 93.4519, loss_bbox: 0.2259, loss_mask: 0.2362, loss: 0.7168 +2022-09-22 01:33:13,771 - mmdet - INFO - Epoch [6][2600/7330] lr: 1.000e-04, eta: 1 day, 4:12:12, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0378, loss_cls: 0.1945, acc: 93.2522, loss_bbox: 0.2351, loss_mask: 0.2423, loss: 0.7431 +2022-09-22 01:33:35,913 - mmdet - INFO - Epoch [6][2650/7330] lr: 1.000e-04, eta: 1 day, 4:11:46, time: 0.443, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0375, loss_cls: 0.1936, acc: 93.0757, loss_bbox: 0.2356, loss_mask: 0.2400, loss: 0.7396 +2022-09-22 01:33:57,591 - mmdet - INFO - Epoch [6][2700/7330] lr: 1.000e-04, eta: 1 day, 4:11:18, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0367, loss_cls: 0.1896, acc: 93.3296, loss_bbox: 0.2275, loss_mask: 0.2328, loss: 0.7133 +2022-09-22 01:34:19,315 - mmdet - INFO - Epoch [6][2750/7330] lr: 1.000e-04, eta: 1 day, 4:10:51, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0362, loss_cls: 0.1973, acc: 93.0825, loss_bbox: 0.2363, loss_mask: 0.2342, loss: 0.7342 +2022-09-22 01:34:41,166 - mmdet - INFO - Epoch [6][2800/7330] lr: 1.000e-04, eta: 1 day, 4:10:24, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0383, loss_cls: 0.2050, acc: 92.7715, loss_bbox: 0.2482, loss_mask: 0.2439, loss: 0.7665 +2022-09-22 01:35:02,465 - mmdet - INFO - Epoch [6][2850/7330] lr: 1.000e-04, eta: 1 day, 4:09:54, time: 0.426, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0360, loss_cls: 0.1895, acc: 93.4937, loss_bbox: 0.2252, loss_mask: 0.2389, loss: 0.7201 +2022-09-22 01:35:24,317 - mmdet - INFO - Epoch [6][2900/7330] lr: 1.000e-04, eta: 1 day, 4:09:27, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0352, loss_cls: 0.1954, acc: 93.2383, loss_bbox: 0.2302, loss_mask: 0.2386, loss: 0.7292 +2022-09-22 01:35:45,851 - mmdet - INFO - Epoch [6][2950/7330] lr: 1.000e-04, eta: 1 day, 4:08:59, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0363, loss_cls: 0.1913, acc: 93.2761, loss_bbox: 0.2296, loss_mask: 0.2335, loss: 0.7190 +2022-09-22 01:36:07,210 - mmdet - INFO - Epoch [6][3000/7330] lr: 1.000e-04, eta: 1 day, 4:08:29, time: 0.427, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0346, loss_cls: 0.1931, acc: 93.1992, loss_bbox: 0.2282, loss_mask: 0.2394, loss: 0.7261 +2022-09-22 01:36:29,213 - mmdet - INFO - Epoch [6][3050/7330] lr: 1.000e-04, eta: 1 day, 4:08:03, time: 0.440, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0382, loss_cls: 0.2029, acc: 92.9639, loss_bbox: 0.2383, loss_mask: 0.2402, loss: 0.7505 +2022-09-22 01:36:51,174 - mmdet - INFO - Epoch [6][3100/7330] lr: 1.000e-04, eta: 1 day, 4:07:37, time: 0.440, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0357, loss_cls: 0.1952, acc: 93.2727, loss_bbox: 0.2327, loss_mask: 0.2401, loss: 0.7333 +2022-09-22 01:37:13,237 - mmdet - INFO - Epoch [6][3150/7330] lr: 1.000e-04, eta: 1 day, 4:07:11, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0385, loss_cls: 0.1987, acc: 93.0015, loss_bbox: 0.2384, loss_mask: 0.2425, loss: 0.7507 +2022-09-22 01:37:35,058 - mmdet - INFO - Epoch [6][3200/7330] lr: 1.000e-04, eta: 1 day, 4:06:45, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0392, loss_cls: 0.1988, acc: 93.0066, loss_bbox: 0.2408, loss_mask: 0.2355, loss: 0.7464 +2022-09-22 01:37:56,558 - mmdet - INFO - Epoch [6][3250/7330] lr: 1.000e-04, eta: 1 day, 4:06:16, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0350, loss_cls: 0.1923, acc: 93.2251, loss_bbox: 0.2316, loss_mask: 0.2389, loss: 0.7271 +2022-09-22 01:38:18,137 - mmdet - INFO - Epoch [6][3300/7330] lr: 1.000e-04, eta: 1 day, 4:05:48, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0382, loss_cls: 0.1965, acc: 93.1060, loss_bbox: 0.2404, loss_mask: 0.2353, loss: 0.7414 +2022-09-22 01:38:39,741 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 01:38:39,747 - mmdet - INFO - Epoch [6][3350/7330] lr: 1.000e-04, eta: 1 day, 4:05:20, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0352, loss_cls: 0.2000, acc: 93.0332, loss_bbox: 0.2372, loss_mask: 0.2404, loss: 0.7418 +2022-09-22 01:39:01,154 - mmdet - INFO - Epoch [6][3400/7330] lr: 1.000e-04, eta: 1 day, 4:04:51, time: 0.428, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0347, loss_cls: 0.1985, acc: 93.1707, loss_bbox: 0.2321, loss_mask: 0.2374, loss: 0.7317 +2022-09-22 01:39:22,356 - mmdet - INFO - Epoch [6][3450/7330] lr: 1.000e-04, eta: 1 day, 4:04:20, time: 0.424, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0334, loss_cls: 0.1825, acc: 93.7156, loss_bbox: 0.2230, loss_mask: 0.2337, loss: 0.6999 +2022-09-22 01:39:44,660 - mmdet - INFO - Epoch [6][3500/7330] lr: 1.000e-04, eta: 1 day, 4:03:56, time: 0.446, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0352, loss_cls: 0.1898, acc: 93.4580, loss_bbox: 0.2223, loss_mask: 0.2427, loss: 0.7191 +2022-09-22 01:40:06,378 - mmdet - INFO - Epoch [6][3550/7330] lr: 1.000e-04, eta: 1 day, 4:03:29, time: 0.435, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0365, loss_cls: 0.1934, acc: 93.1863, loss_bbox: 0.2326, loss_mask: 0.2430, loss: 0.7342 +2022-09-22 01:40:28,183 - mmdet - INFO - Epoch [6][3600/7330] lr: 1.000e-04, eta: 1 day, 4:03:02, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0356, loss_cls: 0.1876, acc: 93.4165, loss_bbox: 0.2300, loss_mask: 0.2359, loss: 0.7175 +2022-09-22 01:40:50,182 - mmdet - INFO - Epoch [6][3650/7330] lr: 1.000e-04, eta: 1 day, 4:02:36, time: 0.440, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0358, loss_cls: 0.1952, acc: 93.1194, loss_bbox: 0.2349, loss_mask: 0.2427, loss: 0.7378 +2022-09-22 01:41:11,987 - mmdet - INFO - Epoch [6][3700/7330] lr: 1.000e-04, eta: 1 day, 4:02:09, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0361, loss_cls: 0.1931, acc: 93.1494, loss_bbox: 0.2341, loss_mask: 0.2392, loss: 0.7299 +2022-09-22 01:41:33,748 - mmdet - INFO - Epoch [6][3750/7330] lr: 1.000e-04, eta: 1 day, 4:01:42, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0338, loss_cls: 0.1886, acc: 93.3086, loss_bbox: 0.2287, loss_mask: 0.2431, loss: 0.7220 +2022-09-22 01:41:55,832 - mmdet - INFO - Epoch [6][3800/7330] lr: 1.000e-04, eta: 1 day, 4:01:17, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0376, loss_cls: 0.1975, acc: 93.1067, loss_bbox: 0.2368, loss_mask: 0.2431, loss: 0.7463 +2022-09-22 01:42:17,470 - mmdet - INFO - Epoch [6][3850/7330] lr: 1.000e-04, eta: 1 day, 4:00:49, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0341, loss_cls: 0.1903, acc: 93.4043, loss_bbox: 0.2281, loss_mask: 0.2464, loss: 0.7258 +2022-09-22 01:42:39,280 - mmdet - INFO - Epoch [6][3900/7330] lr: 1.000e-04, eta: 1 day, 4:00:22, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0367, loss_cls: 0.1976, acc: 92.9414, loss_bbox: 0.2383, loss_mask: 0.2364, loss: 0.7378 +2022-09-22 01:43:00,996 - mmdet - INFO - Epoch [6][3950/7330] lr: 1.000e-04, eta: 1 day, 3:59:55, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0353, loss_cls: 0.1903, acc: 93.3259, loss_bbox: 0.2278, loss_mask: 0.2389, loss: 0.7210 +2022-09-22 01:43:22,764 - mmdet - INFO - Epoch [6][4000/7330] lr: 1.000e-04, eta: 1 day, 3:59:28, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0382, loss_cls: 0.1952, acc: 93.2954, loss_bbox: 0.2312, loss_mask: 0.2395, loss: 0.7350 +2022-09-22 01:43:44,036 - mmdet - INFO - Epoch [6][4050/7330] lr: 1.000e-04, eta: 1 day, 3:58:58, time: 0.425, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0372, loss_cls: 0.1987, acc: 93.1079, loss_bbox: 0.2393, loss_mask: 0.2414, loss: 0.7501 +2022-09-22 01:44:05,450 - mmdet - INFO - Epoch [6][4100/7330] lr: 1.000e-04, eta: 1 day, 3:58:29, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0358, loss_cls: 0.1949, acc: 93.1794, loss_bbox: 0.2325, loss_mask: 0.2364, loss: 0.7277 +2022-09-22 01:44:27,012 - mmdet - INFO - Epoch [6][4150/7330] lr: 1.000e-04, eta: 1 day, 3:58:01, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0358, loss_cls: 0.1924, acc: 93.2351, loss_bbox: 0.2324, loss_mask: 0.2357, loss: 0.7262 +2022-09-22 01:44:49,047 - mmdet - INFO - Epoch [6][4200/7330] lr: 1.000e-04, eta: 1 day, 3:57:36, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0369, loss_cls: 0.2007, acc: 93.0251, loss_bbox: 0.2391, loss_mask: 0.2479, loss: 0.7528 +2022-09-22 01:45:11,074 - mmdet - INFO - Epoch [6][4250/7330] lr: 1.000e-04, eta: 1 day, 3:57:10, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0389, loss_cls: 0.2038, acc: 92.7781, loss_bbox: 0.2487, loss_mask: 0.2476, loss: 0.7707 +2022-09-22 01:45:32,516 - mmdet - INFO - Epoch [6][4300/7330] lr: 1.000e-04, eta: 1 day, 3:56:42, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0334, loss_cls: 0.1937, acc: 93.2026, loss_bbox: 0.2295, loss_mask: 0.2339, loss: 0.7201 +2022-09-22 01:45:54,089 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 01:45:54,091 - mmdet - INFO - Epoch [6][4350/7330] lr: 1.000e-04, eta: 1 day, 3:56:14, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0352, loss_cls: 0.1952, acc: 93.1599, loss_bbox: 0.2385, loss_mask: 0.2401, loss: 0.7387 +2022-09-22 01:46:15,626 - mmdet - INFO - Epoch [6][4400/7330] lr: 1.000e-04, eta: 1 day, 3:55:46, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0377, loss_cls: 0.1990, acc: 93.0225, loss_bbox: 0.2437, loss_mask: 0.2444, loss: 0.7550 +2022-09-22 01:46:37,504 - mmdet - INFO - Epoch [6][4450/7330] lr: 1.000e-04, eta: 1 day, 3:55:19, time: 0.438, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0378, loss_cls: 0.1913, acc: 93.2690, loss_bbox: 0.2282, loss_mask: 0.2391, loss: 0.7266 +2022-09-22 01:46:59,204 - mmdet - INFO - Epoch [6][4500/7330] lr: 1.000e-04, eta: 1 day, 3:54:52, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0351, loss_cls: 0.1965, acc: 93.1978, loss_bbox: 0.2320, loss_mask: 0.2355, loss: 0.7298 +2022-09-22 01:47:21,027 - mmdet - INFO - Epoch [6][4550/7330] lr: 1.000e-04, eta: 1 day, 3:54:26, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0366, loss_cls: 0.1956, acc: 93.0603, loss_bbox: 0.2358, loss_mask: 0.2402, loss: 0.7373 +2022-09-22 01:47:42,939 - mmdet - INFO - Epoch [6][4600/7330] lr: 1.000e-04, eta: 1 day, 3:54:00, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0352, loss_cls: 0.2012, acc: 93.0186, loss_bbox: 0.2358, loss_mask: 0.2425, loss: 0.7462 +2022-09-22 01:48:05,163 - mmdet - INFO - Epoch [6][4650/7330] lr: 1.000e-04, eta: 1 day, 3:53:35, time: 0.444, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0364, loss_cls: 0.1995, acc: 92.9058, loss_bbox: 0.2422, loss_mask: 0.2440, loss: 0.7528 +2022-09-22 01:48:27,334 - mmdet - INFO - Epoch [6][4700/7330] lr: 1.000e-04, eta: 1 day, 3:53:10, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0372, loss_cls: 0.2029, acc: 92.8892, loss_bbox: 0.2423, loss_mask: 0.2434, loss: 0.7553 +2022-09-22 01:48:49,240 - mmdet - INFO - Epoch [6][4750/7330] lr: 1.000e-04, eta: 1 day, 3:52:45, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0395, loss_cls: 0.2087, acc: 92.6733, loss_bbox: 0.2515, loss_mask: 0.2501, loss: 0.7818 +2022-09-22 01:49:10,724 - mmdet - INFO - Epoch [6][4800/7330] lr: 1.000e-04, eta: 1 day, 3:52:16, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0364, loss_cls: 0.1957, acc: 93.2234, loss_bbox: 0.2332, loss_mask: 0.2409, loss: 0.7355 +2022-09-22 01:49:32,549 - mmdet - INFO - Epoch [6][4850/7330] lr: 1.000e-04, eta: 1 day, 3:51:50, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0372, loss_cls: 0.1903, acc: 93.2554, loss_bbox: 0.2368, loss_mask: 0.2389, loss: 0.7346 +2022-09-22 01:49:54,161 - mmdet - INFO - Epoch [6][4900/7330] lr: 1.000e-04, eta: 1 day, 3:51:22, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0371, loss_cls: 0.1925, acc: 93.3127, loss_bbox: 0.2283, loss_mask: 0.2470, loss: 0.7391 +2022-09-22 01:50:15,541 - mmdet - INFO - Epoch [6][4950/7330] lr: 1.000e-04, eta: 1 day, 3:50:53, time: 0.428, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0385, loss_cls: 0.1936, acc: 93.3093, loss_bbox: 0.2365, loss_mask: 0.2414, loss: 0.7441 +2022-09-22 01:50:36,706 - mmdet - INFO - Epoch [6][5000/7330] lr: 1.000e-04, eta: 1 day, 3:50:23, time: 0.423, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0350, loss_cls: 0.1845, acc: 93.5781, loss_bbox: 0.2192, loss_mask: 0.2350, loss: 0.7025 +2022-09-22 01:50:58,367 - mmdet - INFO - Epoch [6][5050/7330] lr: 1.000e-04, eta: 1 day, 3:49:56, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0397, loss_cls: 0.1983, acc: 93.0437, loss_bbox: 0.2427, loss_mask: 0.2421, loss: 0.7556 +2022-09-22 01:51:20,333 - mmdet - INFO - Epoch [6][5100/7330] lr: 1.000e-04, eta: 1 day, 3:49:30, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0385, loss_cls: 0.2029, acc: 92.8933, loss_bbox: 0.2447, loss_mask: 0.2440, loss: 0.7608 +2022-09-22 01:51:41,799 - mmdet - INFO - Epoch [6][5150/7330] lr: 1.000e-04, eta: 1 day, 3:49:02, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0349, loss_cls: 0.1949, acc: 93.2175, loss_bbox: 0.2301, loss_mask: 0.2306, loss: 0.7218 +2022-09-22 01:52:04,026 - mmdet - INFO - Epoch [6][5200/7330] lr: 1.000e-04, eta: 1 day, 3:48:38, time: 0.444, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0405, loss_cls: 0.2183, acc: 92.3193, loss_bbox: 0.2571, loss_mask: 0.2526, loss: 0.8015 +2022-09-22 01:52:25,718 - mmdet - INFO - Epoch [6][5250/7330] lr: 1.000e-04, eta: 1 day, 3:48:11, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0373, loss_cls: 0.2037, acc: 92.9031, loss_bbox: 0.2411, loss_mask: 0.2390, loss: 0.7498 +2022-09-22 01:52:47,302 - mmdet - INFO - Epoch [6][5300/7330] lr: 1.000e-04, eta: 1 day, 3:47:43, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0355, loss_cls: 0.1943, acc: 93.2251, loss_bbox: 0.2329, loss_mask: 0.2408, loss: 0.7320 +2022-09-22 01:53:09,542 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 01:53:09,543 - mmdet - INFO - Epoch [6][5350/7330] lr: 1.000e-04, eta: 1 day, 3:47:19, time: 0.445, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0376, loss_cls: 0.1983, acc: 93.1189, loss_bbox: 0.2370, loss_mask: 0.2408, loss: 0.7465 +2022-09-22 01:53:31,092 - mmdet - INFO - Epoch [6][5400/7330] lr: 1.000e-04, eta: 1 day, 3:46:51, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0354, loss_cls: 0.1892, acc: 93.4121, loss_bbox: 0.2273, loss_mask: 0.2381, loss: 0.7216 +2022-09-22 01:53:53,168 - mmdet - INFO - Epoch [6][5450/7330] lr: 1.000e-04, eta: 1 day, 3:46:26, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0357, loss_cls: 0.1946, acc: 93.1252, loss_bbox: 0.2343, loss_mask: 0.2424, loss: 0.7364 +2022-09-22 01:54:15,650 - mmdet - INFO - Epoch [6][5500/7330] lr: 1.000e-04, eta: 1 day, 3:46:03, time: 0.450, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0360, loss_cls: 0.1969, acc: 93.0281, loss_bbox: 0.2393, loss_mask: 0.2455, loss: 0.7467 +2022-09-22 01:54:37,412 - mmdet - INFO - Epoch [6][5550/7330] lr: 1.000e-04, eta: 1 day, 3:45:37, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0330, loss_cls: 0.1947, acc: 93.2412, loss_bbox: 0.2319, loss_mask: 0.2463, loss: 0.7349 +2022-09-22 01:54:59,388 - mmdet - INFO - Epoch [6][5600/7330] lr: 1.000e-04, eta: 1 day, 3:45:11, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0367, loss_cls: 0.1988, acc: 93.0620, loss_bbox: 0.2382, loss_mask: 0.2427, loss: 0.7456 +2022-09-22 01:55:21,478 - mmdet - INFO - Epoch [6][5650/7330] lr: 1.000e-04, eta: 1 day, 3:44:46, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0382, loss_cls: 0.2105, acc: 92.6897, loss_bbox: 0.2480, loss_mask: 0.2440, loss: 0.7721 +2022-09-22 01:55:43,305 - mmdet - INFO - Epoch [6][5700/7330] lr: 1.000e-04, eta: 1 day, 3:44:20, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0346, loss_cls: 0.1889, acc: 93.3965, loss_bbox: 0.2244, loss_mask: 0.2327, loss: 0.7095 +2022-09-22 01:56:05,134 - mmdet - INFO - Epoch [6][5750/7330] lr: 1.000e-04, eta: 1 day, 3:43:54, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0370, loss_cls: 0.1997, acc: 93.0500, loss_bbox: 0.2339, loss_mask: 0.2393, loss: 0.7406 +2022-09-22 01:56:27,038 - mmdet - INFO - Epoch [6][5800/7330] lr: 1.000e-04, eta: 1 day, 3:43:28, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0373, loss_cls: 0.1979, acc: 93.2502, loss_bbox: 0.2301, loss_mask: 0.2354, loss: 0.7319 +2022-09-22 01:56:48,655 - mmdet - INFO - Epoch [6][5850/7330] lr: 1.000e-04, eta: 1 day, 3:43:00, time: 0.431, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0365, loss_cls: 0.1869, acc: 93.4492, loss_bbox: 0.2290, loss_mask: 0.2430, loss: 0.7254 +2022-09-22 01:57:10,491 - mmdet - INFO - Epoch [6][5900/7330] lr: 1.000e-04, eta: 1 day, 3:42:34, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0385, loss_cls: 0.1999, acc: 93.0354, loss_bbox: 0.2379, loss_mask: 0.2440, loss: 0.7507 +2022-09-22 01:57:32,260 - mmdet - INFO - Epoch [6][5950/7330] lr: 1.000e-04, eta: 1 day, 3:42:08, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0350, loss_cls: 0.1923, acc: 93.3030, loss_bbox: 0.2299, loss_mask: 0.2349, loss: 0.7217 +2022-09-22 01:57:54,001 - mmdet - INFO - Epoch [6][6000/7330] lr: 1.000e-04, eta: 1 day, 3:41:41, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0350, loss_cls: 0.1965, acc: 93.3462, loss_bbox: 0.2285, loss_mask: 0.2345, loss: 0.7224 +2022-09-22 01:58:15,695 - mmdet - INFO - Epoch [6][6050/7330] lr: 1.000e-04, eta: 1 day, 3:41:14, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0374, loss_cls: 0.2014, acc: 93.1064, loss_bbox: 0.2349, loss_mask: 0.2382, loss: 0.7440 +2022-09-22 01:58:37,496 - mmdet - INFO - Epoch [6][6100/7330] lr: 1.000e-04, eta: 1 day, 3:40:48, time: 0.436, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0365, loss_cls: 0.2048, acc: 92.8601, loss_bbox: 0.2441, loss_mask: 0.2450, loss: 0.7610 +2022-09-22 01:58:59,258 - mmdet - INFO - Epoch [6][6150/7330] lr: 1.000e-04, eta: 1 day, 3:40:22, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0366, loss_cls: 0.1934, acc: 93.1626, loss_bbox: 0.2324, loss_mask: 0.2363, loss: 0.7288 +2022-09-22 01:59:21,238 - mmdet - INFO - Epoch [6][6200/7330] lr: 1.000e-04, eta: 1 day, 3:39:56, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0396, loss_cls: 0.2036, acc: 92.8945, loss_bbox: 0.2406, loss_mask: 0.2362, loss: 0.7532 +2022-09-22 01:59:43,253 - mmdet - INFO - Epoch [6][6250/7330] lr: 1.000e-04, eta: 1 day, 3:39:31, time: 0.441, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0345, loss_cls: 0.1886, acc: 93.3215, loss_bbox: 0.2278, loss_mask: 0.2334, loss: 0.7110 +2022-09-22 02:00:07,598 - mmdet - INFO - Epoch [6][6300/7330] lr: 1.000e-04, eta: 1 day, 3:39:18, time: 0.487, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0344, loss_cls: 0.1936, acc: 93.1855, loss_bbox: 0.2336, loss_mask: 0.2317, loss: 0.7233 +2022-09-22 02:00:29,401 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 02:00:29,407 - mmdet - INFO - Epoch [6][6350/7330] lr: 1.000e-04, eta: 1 day, 3:38:52, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0336, loss_cls: 0.1933, acc: 93.2263, loss_bbox: 0.2313, loss_mask: 0.2413, loss: 0.7276 +2022-09-22 02:00:51,250 - mmdet - INFO - Epoch [6][6400/7330] lr: 1.000e-04, eta: 1 day, 3:38:25, time: 0.437, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0355, loss_cls: 0.1975, acc: 93.1086, loss_bbox: 0.2432, loss_mask: 0.2450, loss: 0.7484 +2022-09-22 02:01:13,163 - mmdet - INFO - Epoch [6][6450/7330] lr: 1.000e-04, eta: 1 day, 3:38:00, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0363, loss_cls: 0.2042, acc: 92.7786, loss_bbox: 0.2412, loss_mask: 0.2436, loss: 0.7561 +2022-09-22 02:01:35,053 - mmdet - INFO - Epoch [6][6500/7330] lr: 1.000e-04, eta: 1 day, 3:37:34, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0369, loss_cls: 0.2067, acc: 92.6929, loss_bbox: 0.2461, loss_mask: 0.2426, loss: 0.7628 +2022-09-22 02:01:57,051 - mmdet - INFO - Epoch [6][6550/7330] lr: 1.000e-04, eta: 1 day, 3:37:09, time: 0.440, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0358, loss_cls: 0.1923, acc: 93.2483, loss_bbox: 0.2331, loss_mask: 0.2383, loss: 0.7301 +2022-09-22 02:02:18,945 - mmdet - INFO - Epoch [6][6600/7330] lr: 1.000e-04, eta: 1 day, 3:36:43, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0363, loss_cls: 0.1984, acc: 93.0332, loss_bbox: 0.2389, loss_mask: 0.2408, loss: 0.7432 +2022-09-22 02:02:40,264 - mmdet - INFO - Epoch [6][6650/7330] lr: 1.000e-04, eta: 1 day, 3:36:14, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0363, loss_cls: 0.2009, acc: 92.9978, loss_bbox: 0.2370, loss_mask: 0.2473, loss: 0.7518 +2022-09-22 02:03:02,020 - mmdet - INFO - Epoch [6][6700/7330] lr: 1.000e-04, eta: 1 day, 3:35:48, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0385, loss_cls: 0.1953, acc: 93.2400, loss_bbox: 0.2340, loss_mask: 0.2437, loss: 0.7435 +2022-09-22 02:03:23,747 - mmdet - INFO - Epoch [6][6750/7330] lr: 1.000e-04, eta: 1 day, 3:35:21, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0353, loss_cls: 0.1988, acc: 93.1409, loss_bbox: 0.2338, loss_mask: 0.2507, loss: 0.7481 +2022-09-22 02:03:45,607 - mmdet - INFO - Epoch [6][6800/7330] lr: 1.000e-04, eta: 1 day, 3:34:55, time: 0.436, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0368, loss_cls: 0.2028, acc: 93.0007, loss_bbox: 0.2379, loss_mask: 0.2458, loss: 0.7561 +2022-09-22 02:04:07,362 - mmdet - INFO - Epoch [6][6850/7330] lr: 1.000e-04, eta: 1 day, 3:34:29, time: 0.436, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0377, loss_cls: 0.2052, acc: 92.9739, loss_bbox: 0.2437, loss_mask: 0.2468, loss: 0.7652 +2022-09-22 02:04:29,252 - mmdet - INFO - Epoch [6][6900/7330] lr: 1.000e-04, eta: 1 day, 3:34:03, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0368, loss_cls: 0.1903, acc: 93.3804, loss_bbox: 0.2313, loss_mask: 0.2321, loss: 0.7214 +2022-09-22 02:04:50,683 - mmdet - INFO - Epoch [6][6950/7330] lr: 1.000e-04, eta: 1 day, 3:33:35, time: 0.429, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0363, loss_cls: 0.1954, acc: 93.2034, loss_bbox: 0.2315, loss_mask: 0.2390, loss: 0.7345 +2022-09-22 02:05:12,488 - mmdet - INFO - Epoch [6][7000/7330] lr: 1.000e-04, eta: 1 day, 3:33:09, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0361, loss_cls: 0.1974, acc: 93.2046, loss_bbox: 0.2337, loss_mask: 0.2363, loss: 0.7333 +2022-09-22 02:05:34,394 - mmdet - INFO - Epoch [6][7050/7330] lr: 1.000e-04, eta: 1 day, 3:32:43, time: 0.438, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0378, loss_cls: 0.2003, acc: 93.0474, loss_bbox: 0.2381, loss_mask: 0.2416, loss: 0.7482 +2022-09-22 02:05:56,065 - mmdet - INFO - Epoch [6][7100/7330] lr: 1.000e-04, eta: 1 day, 3:32:17, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0376, loss_cls: 0.1999, acc: 92.9377, loss_bbox: 0.2364, loss_mask: 0.2449, loss: 0.7493 +2022-09-22 02:06:17,765 - mmdet - INFO - Epoch [6][7150/7330] lr: 1.000e-04, eta: 1 day, 3:31:50, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0366, loss_cls: 0.1914, acc: 93.2744, loss_bbox: 0.2318, loss_mask: 0.2357, loss: 0.7257 +2022-09-22 02:06:38,952 - mmdet - INFO - Epoch [6][7200/7330] lr: 1.000e-04, eta: 1 day, 3:31:21, time: 0.424, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0372, loss_cls: 0.2092, acc: 92.6677, loss_bbox: 0.2454, loss_mask: 0.2415, loss: 0.7645 +2022-09-22 02:07:00,426 - mmdet - INFO - Epoch [6][7250/7330] lr: 1.000e-04, eta: 1 day, 3:30:53, time: 0.430, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0344, loss_cls: 0.1946, acc: 93.2720, loss_bbox: 0.2365, loss_mask: 0.2392, loss: 0.7335 +2022-09-22 02:07:21,930 - mmdet - INFO - Epoch [6][7300/7330] lr: 1.000e-04, eta: 1 day, 3:30:26, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0338, loss_cls: 0.1990, acc: 93.1067, loss_bbox: 0.2340, loss_mask: 0.2386, loss: 0.7338 +2022-09-22 02:07:44,355 - mmdet - INFO - Saving checkpoint at 6 epochs +2022-09-22 02:09:44,974 - mmdet - INFO - Evaluating bbox... +2022-09-22 02:10:14,032 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.442 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.675 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.485 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.292 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.481 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.578 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.574 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.574 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.574 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.405 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.611 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.719 + +2022-09-22 02:10:14,033 - mmdet - INFO - Evaluating segm... +2022-09-22 02:10:46,502 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.399 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.640 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.425 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.217 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.433 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.588 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.522 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.522 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.522 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.344 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.564 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.687 + +2022-09-22 02:10:46,935 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 02:10:46,937 - mmdet - INFO - Epoch(val) [6][625] bbox_mAP: 0.4420, bbox_mAP_50: 0.6750, bbox_mAP_75: 0.4850, bbox_mAP_s: 0.2920, bbox_mAP_m: 0.4810, bbox_mAP_l: 0.5780, bbox_mAP_copypaste: 0.442 0.675 0.485 0.292 0.481 0.578, segm_mAP: 0.3990, segm_mAP_50: 0.6400, segm_mAP_75: 0.4250, segm_mAP_s: 0.2170, segm_mAP_m: 0.4330, segm_mAP_l: 0.5880, segm_mAP_copypaste: 0.399 0.640 0.425 0.217 0.433 0.588 +2022-09-22 02:12:51,365 - mmdet - INFO - Epoch [7][50/7330] lr: 1.000e-04, eta: 1 day, 3:37:11, time: 2.488, data_time: 2.049, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0355, loss_cls: 0.1879, acc: 93.3728, loss_bbox: 0.2298, loss_mask: 0.2422, loss: 0.7255 +2022-09-22 02:13:13,632 - mmdet - INFO - Epoch [7][100/7330] lr: 1.000e-04, eta: 1 day, 3:36:47, time: 0.445, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0347, loss_cls: 0.1912, acc: 93.2637, loss_bbox: 0.2316, loss_mask: 0.2383, loss: 0.7212 +2022-09-22 02:13:35,647 - mmdet - INFO - Epoch [7][150/7330] lr: 1.000e-04, eta: 1 day, 3:36:21, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0366, loss_cls: 0.1853, acc: 93.3921, loss_bbox: 0.2327, loss_mask: 0.2320, loss: 0.7188 +2022-09-22 02:13:57,727 - mmdet - INFO - Epoch [7][200/7330] lr: 1.000e-04, eta: 1 day, 3:35:55, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0364, loss_cls: 0.1878, acc: 93.4724, loss_bbox: 0.2248, loss_mask: 0.2322, loss: 0.7093 +2022-09-22 02:14:19,710 - mmdet - INFO - Epoch [7][250/7330] lr: 1.000e-04, eta: 1 day, 3:35:30, time: 0.441, data_time: 0.022, memory: 30699, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0379, loss_cls: 0.1919, acc: 93.2871, loss_bbox: 0.2283, loss_mask: 0.2344, loss: 0.7196 +2022-09-22 02:14:41,661 - mmdet - INFO - Epoch [7][300/7330] lr: 1.000e-04, eta: 1 day, 3:35:04, time: 0.439, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0342, loss_cls: 0.1869, acc: 93.3667, loss_bbox: 0.2319, loss_mask: 0.2335, loss: 0.7143 +2022-09-22 02:15:03,883 - mmdet - INFO - Epoch [7][350/7330] lr: 1.000e-04, eta: 1 day, 3:34:39, time: 0.444, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0354, loss_cls: 0.2032, acc: 92.9382, loss_bbox: 0.2388, loss_mask: 0.2388, loss: 0.7455 +2022-09-22 02:15:25,666 - mmdet - INFO - Epoch [7][400/7330] lr: 1.000e-04, eta: 1 day, 3:34:13, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0363, loss_cls: 0.1934, acc: 93.0842, loss_bbox: 0.2330, loss_mask: 0.2398, loss: 0.7340 +2022-09-22 02:15:47,567 - mmdet - INFO - Epoch [7][450/7330] lr: 1.000e-04, eta: 1 day, 3:33:47, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0371, loss_cls: 0.1992, acc: 92.8303, loss_bbox: 0.2447, loss_mask: 0.2436, loss: 0.7546 +2022-09-22 02:16:09,535 - mmdet - INFO - Epoch [7][500/7330] lr: 1.000e-04, eta: 1 day, 3:33:21, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0377, loss_cls: 0.1973, acc: 92.9507, loss_bbox: 0.2399, loss_mask: 0.2451, loss: 0.7490 +2022-09-22 02:16:31,410 - mmdet - INFO - Epoch [7][550/7330] lr: 1.000e-04, eta: 1 day, 3:32:55, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0376, loss_cls: 0.1882, acc: 93.3293, loss_bbox: 0.2324, loss_mask: 0.2326, loss: 0.7205 +2022-09-22 02:16:53,109 - mmdet - INFO - Epoch [7][600/7330] lr: 1.000e-04, eta: 1 day, 3:32:28, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0353, loss_cls: 0.1861, acc: 93.3267, loss_bbox: 0.2297, loss_mask: 0.2362, loss: 0.7153 +2022-09-22 02:17:14,474 - mmdet - INFO - Epoch [7][650/7330] lr: 1.000e-04, eta: 1 day, 3:31:59, time: 0.427, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0351, loss_cls: 0.1866, acc: 93.4785, loss_bbox: 0.2263, loss_mask: 0.2339, loss: 0.7093 +2022-09-22 02:17:36,091 - mmdet - INFO - Epoch [7][700/7330] lr: 1.000e-04, eta: 1 day, 3:31:31, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0341, loss_cls: 0.1840, acc: 93.5828, loss_bbox: 0.2232, loss_mask: 0.2305, loss: 0.6994 +2022-09-22 02:17:58,189 - mmdet - INFO - Epoch [7][750/7330] lr: 1.000e-04, eta: 1 day, 3:31:06, time: 0.442, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0377, loss_cls: 0.1908, acc: 93.2581, loss_bbox: 0.2341, loss_mask: 0.2354, loss: 0.7269 +2022-09-22 02:18:20,240 - mmdet - INFO - Epoch [7][800/7330] lr: 1.000e-04, eta: 1 day, 3:30:41, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0377, loss_cls: 0.1912, acc: 93.2173, loss_bbox: 0.2305, loss_mask: 0.2341, loss: 0.7241 +2022-09-22 02:18:41,864 - mmdet - INFO - Epoch [7][850/7330] lr: 1.000e-04, eta: 1 day, 3:30:14, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0374, loss_cls: 0.1946, acc: 93.1311, loss_bbox: 0.2365, loss_mask: 0.2422, loss: 0.7418 +2022-09-22 02:19:03,791 - mmdet - INFO - Epoch [7][900/7330] lr: 1.000e-04, eta: 1 day, 3:29:48, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0363, loss_cls: 0.1945, acc: 93.3293, loss_bbox: 0.2297, loss_mask: 0.2383, loss: 0.7281 +2022-09-22 02:19:25,921 - mmdet - INFO - Epoch [7][950/7330] lr: 1.000e-04, eta: 1 day, 3:29:23, time: 0.443, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0358, loss_cls: 0.1884, acc: 93.4121, loss_bbox: 0.2255, loss_mask: 0.2315, loss: 0.7113 +2022-09-22 02:19:47,626 - mmdet - INFO - Epoch [7][1000/7330] lr: 1.000e-04, eta: 1 day, 3:28:56, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0371, loss_cls: 0.1815, acc: 93.5417, loss_bbox: 0.2234, loss_mask: 0.2355, loss: 0.7070 +2022-09-22 02:20:09,399 - mmdet - INFO - Epoch [7][1050/7330] lr: 1.000e-04, eta: 1 day, 3:28:29, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0343, loss_cls: 0.1578, acc: 94.4082, loss_bbox: 0.1963, loss_mask: 0.2138, loss: 0.6308 +2022-09-22 02:20:31,387 - mmdet - INFO - Epoch [7][1100/7330] lr: 1.000e-04, eta: 1 day, 3:28:04, time: 0.440, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0333, loss_cls: 0.1730, acc: 93.8135, loss_bbox: 0.2194, loss_mask: 0.2281, loss: 0.6818 +2022-09-22 02:20:53,429 - mmdet - INFO - Epoch [7][1150/7330] lr: 1.000e-04, eta: 1 day, 3:27:39, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0389, loss_cls: 0.2007, acc: 92.9697, loss_bbox: 0.2400, loss_mask: 0.2464, loss: 0.7596 +2022-09-22 02:21:15,308 - mmdet - INFO - Epoch [7][1200/7330] lr: 1.000e-04, eta: 1 day, 3:27:12, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0364, loss_cls: 0.1841, acc: 93.4670, loss_bbox: 0.2268, loss_mask: 0.2320, loss: 0.7070 +2022-09-22 02:21:39,059 - mmdet - INFO - Epoch [7][1250/7330] lr: 1.000e-04, eta: 1 day, 3:26:55, time: 0.475, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0340, loss_cls: 0.1778, acc: 93.6760, loss_bbox: 0.2211, loss_mask: 0.2227, loss: 0.6828 +2022-09-22 02:22:01,347 - mmdet - INFO - Epoch [7][1300/7330] lr: 1.000e-04, eta: 1 day, 3:26:31, time: 0.446, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0378, loss_cls: 0.2032, acc: 92.8945, loss_bbox: 0.2423, loss_mask: 0.2390, loss: 0.7522 +2022-09-22 02:22:23,398 - mmdet - INFO - Epoch [7][1350/7330] lr: 1.000e-04, eta: 1 day, 3:26:06, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0386, loss_cls: 0.2002, acc: 93.0659, loss_bbox: 0.2398, loss_mask: 0.2383, loss: 0.7527 +2022-09-22 02:22:45,107 - mmdet - INFO - Epoch [7][1400/7330] lr: 1.000e-04, eta: 1 day, 3:25:39, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0395, loss_cls: 0.2002, acc: 92.9165, loss_bbox: 0.2402, loss_mask: 0.2446, loss: 0.7615 +2022-09-22 02:23:06,658 - mmdet - INFO - Epoch [7][1450/7330] lr: 1.000e-04, eta: 1 day, 3:25:12, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0357, loss_cls: 0.2051, acc: 92.9221, loss_bbox: 0.2360, loss_mask: 0.2376, loss: 0.7455 +2022-09-22 02:23:28,253 - mmdet - INFO - Epoch [7][1500/7330] lr: 1.000e-04, eta: 1 day, 3:24:44, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0361, loss_cls: 0.1907, acc: 93.2402, loss_bbox: 0.2316, loss_mask: 0.2371, loss: 0.7253 +2022-09-22 02:23:49,713 - mmdet - INFO - Epoch [7][1550/7330] lr: 1.000e-04, eta: 1 day, 3:24:16, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0348, loss_cls: 0.1892, acc: 93.3281, loss_bbox: 0.2277, loss_mask: 0.2360, loss: 0.7161 +2022-09-22 02:24:10,911 - mmdet - INFO - Epoch [7][1600/7330] lr: 1.000e-04, eta: 1 day, 3:23:47, time: 0.424, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0378, loss_cls: 0.1996, acc: 93.0967, loss_bbox: 0.2352, loss_mask: 0.2374, loss: 0.7404 +2022-09-22 02:24:32,439 - mmdet - INFO - Epoch [7][1650/7330] lr: 1.000e-04, eta: 1 day, 3:23:19, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0343, loss_cls: 0.1896, acc: 93.3718, loss_bbox: 0.2264, loss_mask: 0.2327, loss: 0.7121 +2022-09-22 02:24:53,582 - mmdet - INFO - Epoch [7][1700/7330] lr: 1.000e-04, eta: 1 day, 3:22:50, time: 0.423, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0348, loss_cls: 0.1839, acc: 93.5811, loss_bbox: 0.2241, loss_mask: 0.2402, loss: 0.7108 +2022-09-22 02:25:14,948 - mmdet - INFO - Epoch [7][1750/7330] lr: 1.000e-04, eta: 1 day, 3:22:21, time: 0.427, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0350, loss_cls: 0.1851, acc: 93.4685, loss_bbox: 0.2253, loss_mask: 0.2364, loss: 0.7089 +2022-09-22 02:25:36,252 - mmdet - INFO - Epoch [7][1800/7330] lr: 1.000e-04, eta: 1 day, 3:21:53, time: 0.426, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0342, loss_cls: 0.1877, acc: 93.3577, loss_bbox: 0.2304, loss_mask: 0.2345, loss: 0.7141 +2022-09-22 02:25:57,826 - mmdet - INFO - Epoch [7][1850/7330] lr: 1.000e-04, eta: 1 day, 3:21:25, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0366, loss_cls: 0.2019, acc: 92.9214, loss_bbox: 0.2372, loss_mask: 0.2397, loss: 0.7452 +2022-09-22 02:26:19,958 - mmdet - INFO - Epoch [7][1900/7330] lr: 1.000e-04, eta: 1 day, 3:21:01, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0385, loss_cls: 0.1992, acc: 92.9526, loss_bbox: 0.2382, loss_mask: 0.2447, loss: 0.7526 +2022-09-22 02:26:41,650 - mmdet - INFO - Epoch [7][1950/7330] lr: 1.000e-04, eta: 1 day, 3:20:34, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0355, loss_cls: 0.1940, acc: 93.0947, loss_bbox: 0.2334, loss_mask: 0.2407, loss: 0.7304 +2022-09-22 02:27:03,871 - mmdet - INFO - Epoch [7][2000/7330] lr: 1.000e-04, eta: 1 day, 3:20:09, time: 0.444, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0328, loss_cls: 0.1770, acc: 93.7427, loss_bbox: 0.2210, loss_mask: 0.2296, loss: 0.6853 +2022-09-22 02:27:25,678 - mmdet - INFO - Epoch [7][2050/7330] lr: 1.000e-04, eta: 1 day, 3:19:43, time: 0.436, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0375, loss_cls: 0.1919, acc: 93.1143, loss_bbox: 0.2321, loss_mask: 0.2399, loss: 0.7313 +2022-09-22 02:27:46,828 - mmdet - INFO - Epoch [7][2100/7330] lr: 1.000e-04, eta: 1 day, 3:19:14, time: 0.423, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0366, loss_cls: 0.1937, acc: 93.1660, loss_bbox: 0.2297, loss_mask: 0.2334, loss: 0.7220 +2022-09-22 02:28:08,378 - mmdet - INFO - Epoch [7][2150/7330] lr: 1.000e-04, eta: 1 day, 3:18:46, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0381, loss_cls: 0.1945, acc: 93.1785, loss_bbox: 0.2312, loss_mask: 0.2345, loss: 0.7269 +2022-09-22 02:28:30,205 - mmdet - INFO - Epoch [7][2200/7330] lr: 1.000e-04, eta: 1 day, 3:18:20, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0356, loss_cls: 0.1923, acc: 93.2434, loss_bbox: 0.2330, loss_mask: 0.2376, loss: 0.7288 +2022-09-22 02:28:51,287 - mmdet - INFO - Epoch [7][2250/7330] lr: 1.000e-04, eta: 1 day, 3:17:51, time: 0.422, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0356, loss_cls: 0.1880, acc: 93.4077, loss_bbox: 0.2282, loss_mask: 0.2323, loss: 0.7149 +2022-09-22 02:29:12,988 - mmdet - INFO - Epoch [7][2300/7330] lr: 1.000e-04, eta: 1 day, 3:17:24, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0364, loss_cls: 0.1954, acc: 93.1609, loss_bbox: 0.2325, loss_mask: 0.2351, loss: 0.7282 +2022-09-22 02:29:34,305 - mmdet - INFO - Epoch [7][2350/7330] lr: 1.000e-04, eta: 1 day, 3:16:56, time: 0.427, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0340, loss_cls: 0.1964, acc: 93.3313, loss_bbox: 0.2270, loss_mask: 0.2348, loss: 0.7202 +2022-09-22 02:29:56,150 - mmdet - INFO - Epoch [7][2400/7330] lr: 1.000e-04, eta: 1 day, 3:16:29, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0346, loss_cls: 0.1831, acc: 93.7056, loss_bbox: 0.2186, loss_mask: 0.2315, loss: 0.6956 +2022-09-22 02:30:17,599 - mmdet - INFO - Epoch [7][2450/7330] lr: 1.000e-04, eta: 1 day, 3:16:02, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0358, loss_cls: 0.1916, acc: 93.1787, loss_bbox: 0.2351, loss_mask: 0.2394, loss: 0.7305 +2022-09-22 02:30:39,360 - mmdet - INFO - Epoch [7][2500/7330] lr: 1.000e-04, eta: 1 day, 3:15:35, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0358, loss_cls: 0.1852, acc: 93.4365, loss_bbox: 0.2244, loss_mask: 0.2320, loss: 0.7076 +2022-09-22 02:31:01,505 - mmdet - INFO - Epoch [7][2550/7330] lr: 1.000e-04, eta: 1 day, 3:15:11, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0347, loss_cls: 0.1918, acc: 93.4255, loss_bbox: 0.2279, loss_mask: 0.2382, loss: 0.7205 +2022-09-22 02:31:23,151 - mmdet - INFO - Epoch [7][2600/7330] lr: 1.000e-04, eta: 1 day, 3:14:44, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0349, loss_cls: 0.1880, acc: 93.4304, loss_bbox: 0.2260, loss_mask: 0.2363, loss: 0.7137 +2022-09-22 02:31:45,163 - mmdet - INFO - Epoch [7][2650/7330] lr: 1.000e-04, eta: 1 day, 3:14:19, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0360, loss_cls: 0.1874, acc: 93.3201, loss_bbox: 0.2341, loss_mask: 0.2372, loss: 0.7227 +2022-09-22 02:32:06,775 - mmdet - INFO - Epoch [7][2700/7330] lr: 1.000e-04, eta: 1 day, 3:13:52, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0349, loss_cls: 0.1867, acc: 93.3826, loss_bbox: 0.2327, loss_mask: 0.2361, loss: 0.7193 +2022-09-22 02:32:28,162 - mmdet - INFO - Epoch [7][2750/7330] lr: 1.000e-04, eta: 1 day, 3:13:24, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0360, loss_cls: 0.1925, acc: 93.3228, loss_bbox: 0.2278, loss_mask: 0.2421, loss: 0.7300 +2022-09-22 02:32:50,097 - mmdet - INFO - Epoch [7][2800/7330] lr: 1.000e-04, eta: 1 day, 3:12:58, time: 0.438, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0350, loss_cls: 0.1829, acc: 93.4739, loss_bbox: 0.2222, loss_mask: 0.2374, loss: 0.7058 +2022-09-22 02:33:11,650 - mmdet - INFO - Epoch [7][2850/7330] lr: 1.000e-04, eta: 1 day, 3:12:31, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0338, loss_cls: 0.1812, acc: 93.7278, loss_bbox: 0.2175, loss_mask: 0.2347, loss: 0.6961 +2022-09-22 02:33:33,658 - mmdet - INFO - Epoch [7][2900/7330] lr: 1.000e-04, eta: 1 day, 3:12:06, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0375, loss_cls: 0.1938, acc: 93.1753, loss_bbox: 0.2364, loss_mask: 0.2404, loss: 0.7391 +2022-09-22 02:33:55,252 - mmdet - INFO - Epoch [7][2950/7330] lr: 1.000e-04, eta: 1 day, 3:11:39, time: 0.432, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0357, loss_cls: 0.1847, acc: 93.4651, loss_bbox: 0.2286, loss_mask: 0.2333, loss: 0.7121 +2022-09-22 02:34:17,274 - mmdet - INFO - Epoch [7][3000/7330] lr: 1.000e-04, eta: 1 day, 3:11:14, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0388, loss_cls: 0.1959, acc: 93.1321, loss_bbox: 0.2337, loss_mask: 0.2367, loss: 0.7368 +2022-09-22 02:34:38,988 - mmdet - INFO - Epoch [7][3050/7330] lr: 1.000e-04, eta: 1 day, 3:10:47, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0362, loss_cls: 0.1976, acc: 93.0415, loss_bbox: 0.2419, loss_mask: 0.2346, loss: 0.7402 +2022-09-22 02:35:00,948 - mmdet - INFO - Epoch [7][3100/7330] lr: 1.000e-04, eta: 1 day, 3:10:22, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0366, loss_cls: 0.1945, acc: 93.0332, loss_bbox: 0.2381, loss_mask: 0.2365, loss: 0.7348 +2022-09-22 02:35:22,660 - mmdet - INFO - Epoch [7][3150/7330] lr: 1.000e-04, eta: 1 day, 3:09:55, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0345, loss_cls: 0.1891, acc: 93.3745, loss_bbox: 0.2285, loss_mask: 0.2351, loss: 0.7156 +2022-09-22 02:35:44,535 - mmdet - INFO - Epoch [7][3200/7330] lr: 1.000e-04, eta: 1 day, 3:09:30, time: 0.437, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0368, loss_cls: 0.1913, acc: 93.2927, loss_bbox: 0.2289, loss_mask: 0.2297, loss: 0.7178 +2022-09-22 02:36:06,090 - mmdet - INFO - Epoch [7][3250/7330] lr: 1.000e-04, eta: 1 day, 3:09:02, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0364, loss_cls: 0.1882, acc: 93.2710, loss_bbox: 0.2339, loss_mask: 0.2372, loss: 0.7249 +2022-09-22 02:36:27,984 - mmdet - INFO - Epoch [7][3300/7330] lr: 1.000e-04, eta: 1 day, 3:08:37, time: 0.438, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0382, loss_cls: 0.1940, acc: 93.1155, loss_bbox: 0.2336, loss_mask: 0.2408, loss: 0.7378 +2022-09-22 02:36:49,934 - mmdet - INFO - Epoch [7][3350/7330] lr: 1.000e-04, eta: 1 day, 3:08:12, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0359, loss_cls: 0.1947, acc: 93.2231, loss_bbox: 0.2309, loss_mask: 0.2371, loss: 0.7276 +2022-09-22 02:37:11,996 - mmdet - INFO - Epoch [7][3400/7330] lr: 1.000e-04, eta: 1 day, 3:07:47, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0378, loss_cls: 0.1962, acc: 92.9434, loss_bbox: 0.2414, loss_mask: 0.2412, loss: 0.7469 +2022-09-22 02:37:33,847 - mmdet - INFO - Epoch [7][3450/7330] lr: 1.000e-04, eta: 1 day, 3:07:21, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0352, loss_cls: 0.1823, acc: 93.6560, loss_bbox: 0.2215, loss_mask: 0.2374, loss: 0.7052 +2022-09-22 02:37:55,375 - mmdet - INFO - Epoch [7][3500/7330] lr: 1.000e-04, eta: 1 day, 3:06:54, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0390, loss_cls: 0.2017, acc: 93.0010, loss_bbox: 0.2384, loss_mask: 0.2392, loss: 0.7482 +2022-09-22 02:38:17,116 - mmdet - INFO - Epoch [7][3550/7330] lr: 1.000e-04, eta: 1 day, 3:06:27, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0346, loss_cls: 0.1851, acc: 93.4866, loss_bbox: 0.2288, loss_mask: 0.2350, loss: 0.7130 +2022-09-22 02:38:38,485 - mmdet - INFO - Epoch [7][3600/7330] lr: 1.000e-04, eta: 1 day, 3:06:00, time: 0.427, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0347, loss_cls: 0.1882, acc: 93.3333, loss_bbox: 0.2279, loss_mask: 0.2411, loss: 0.7210 +2022-09-22 02:39:00,362 - mmdet - INFO - Epoch [7][3650/7330] lr: 1.000e-04, eta: 1 day, 3:05:34, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0371, loss_cls: 0.1892, acc: 93.2256, loss_bbox: 0.2293, loss_mask: 0.2336, loss: 0.7188 +2022-09-22 02:39:22,203 - mmdet - INFO - Epoch [7][3700/7330] lr: 1.000e-04, eta: 1 day, 3:05:08, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0370, loss_cls: 0.1937, acc: 93.1711, loss_bbox: 0.2360, loss_mask: 0.2342, loss: 0.7303 +2022-09-22 02:39:44,526 - mmdet - INFO - Epoch [7][3750/7330] lr: 1.000e-04, eta: 1 day, 3:04:45, time: 0.446, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0375, loss_cls: 0.1951, acc: 93.0505, loss_bbox: 0.2392, loss_mask: 0.2412, loss: 0.7423 +2022-09-22 02:40:06,159 - mmdet - INFO - Epoch [7][3800/7330] lr: 1.000e-04, eta: 1 day, 3:04:18, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0358, loss_cls: 0.1853, acc: 93.4583, loss_bbox: 0.2231, loss_mask: 0.2340, loss: 0.7077 +2022-09-22 02:40:27,970 - mmdet - INFO - Epoch [7][3850/7330] lr: 1.000e-04, eta: 1 day, 3:03:52, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0365, loss_cls: 0.1886, acc: 93.4507, loss_bbox: 0.2255, loss_mask: 0.2356, loss: 0.7188 +2022-09-22 02:40:49,546 - mmdet - INFO - Epoch [7][3900/7330] lr: 1.000e-04, eta: 1 day, 3:03:25, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0376, loss_cls: 0.1948, acc: 93.0898, loss_bbox: 0.2350, loss_mask: 0.2343, loss: 0.7317 +2022-09-22 02:41:11,148 - mmdet - INFO - Epoch [7][3950/7330] lr: 1.000e-04, eta: 1 day, 3:02:58, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0362, loss_cls: 0.1997, acc: 93.0078, loss_bbox: 0.2370, loss_mask: 0.2370, loss: 0.7401 +2022-09-22 02:41:33,346 - mmdet - INFO - Epoch [7][4000/7330] lr: 1.000e-04, eta: 1 day, 3:02:34, time: 0.444, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0374, loss_cls: 0.1972, acc: 92.9434, loss_bbox: 0.2401, loss_mask: 0.2400, loss: 0.7452 +2022-09-22 02:41:55,315 - mmdet - INFO - Epoch [7][4050/7330] lr: 1.000e-04, eta: 1 day, 3:02:09, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0356, loss_cls: 0.1776, acc: 93.6877, loss_bbox: 0.2229, loss_mask: 0.2293, loss: 0.6931 +2022-09-22 02:42:17,186 - mmdet - INFO - Epoch [7][4100/7330] lr: 1.000e-04, eta: 1 day, 3:01:43, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0355, loss_cls: 0.1874, acc: 93.4858, loss_bbox: 0.2253, loss_mask: 0.2386, loss: 0.7148 +2022-09-22 02:42:39,298 - mmdet - INFO - Epoch [7][4150/7330] lr: 1.000e-04, eta: 1 day, 3:01:19, time: 0.442, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0342, loss_cls: 0.1890, acc: 93.4775, loss_bbox: 0.2231, loss_mask: 0.2351, loss: 0.7089 +2022-09-22 02:43:02,914 - mmdet - INFO - Epoch [7][4200/7330] lr: 1.000e-04, eta: 1 day, 3:01:01, time: 0.473, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0377, loss_cls: 0.2007, acc: 92.8879, loss_bbox: 0.2391, loss_mask: 0.2367, loss: 0.7433 +2022-09-22 02:43:25,145 - mmdet - INFO - Epoch [7][4250/7330] lr: 1.000e-04, eta: 1 day, 3:00:37, time: 0.444, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0369, loss_cls: 0.1912, acc: 93.2930, loss_bbox: 0.2272, loss_mask: 0.2367, loss: 0.7213 +2022-09-22 02:43:46,722 - mmdet - INFO - Epoch [7][4300/7330] lr: 1.000e-04, eta: 1 day, 3:00:10, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0381, loss_cls: 0.1982, acc: 93.0212, loss_bbox: 0.2381, loss_mask: 0.2407, loss: 0.7456 +2022-09-22 02:44:08,546 - mmdet - INFO - Epoch [7][4350/7330] lr: 1.000e-04, eta: 1 day, 2:59:45, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0378, loss_cls: 0.2005, acc: 92.9766, loss_bbox: 0.2413, loss_mask: 0.2443, loss: 0.7564 +2022-09-22 02:44:30,162 - mmdet - INFO - Epoch [7][4400/7330] lr: 1.000e-04, eta: 1 day, 2:59:18, time: 0.433, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0359, loss_cls: 0.1903, acc: 93.3979, loss_bbox: 0.2252, loss_mask: 0.2346, loss: 0.7168 +2022-09-22 02:44:52,257 - mmdet - INFO - Epoch [7][4450/7330] lr: 1.000e-04, eta: 1 day, 2:58:53, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0363, loss_cls: 0.1849, acc: 93.4087, loss_bbox: 0.2242, loss_mask: 0.2358, loss: 0.7099 +2022-09-22 02:45:14,269 - mmdet - INFO - Epoch [7][4500/7330] lr: 1.000e-04, eta: 1 day, 2:58:28, time: 0.439, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0359, loss_cls: 0.1859, acc: 93.4778, loss_bbox: 0.2297, loss_mask: 0.2434, loss: 0.7251 +2022-09-22 02:45:36,026 - mmdet - INFO - Epoch [7][4550/7330] lr: 1.000e-04, eta: 1 day, 2:58:02, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0357, loss_cls: 0.1909, acc: 93.2117, loss_bbox: 0.2307, loss_mask: 0.2362, loss: 0.7225 +2022-09-22 02:45:59,139 - mmdet - INFO - Epoch [7][4600/7330] lr: 1.000e-04, eta: 1 day, 2:57:42, time: 0.462, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0334, loss_cls: 0.1837, acc: 93.5107, loss_bbox: 0.2272, loss_mask: 0.2301, loss: 0.7005 +2022-09-22 02:46:21,081 - mmdet - INFO - Epoch [7][4650/7330] lr: 1.000e-04, eta: 1 day, 2:57:17, time: 0.439, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0381, loss_cls: 0.2010, acc: 92.9954, loss_bbox: 0.2398, loss_mask: 0.2473, loss: 0.7551 +2022-09-22 02:46:42,863 - mmdet - INFO - Epoch [7][4700/7330] lr: 1.000e-04, eta: 1 day, 2:56:51, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0348, loss_cls: 0.1842, acc: 93.4895, loss_bbox: 0.2250, loss_mask: 0.2328, loss: 0.7039 +2022-09-22 02:47:04,682 - mmdet - INFO - Epoch [7][4750/7330] lr: 1.000e-04, eta: 1 day, 2:56:25, time: 0.435, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0382, loss_cls: 0.1941, acc: 93.1829, loss_bbox: 0.2363, loss_mask: 0.2442, loss: 0.7434 +2022-09-22 02:47:26,560 - mmdet - INFO - Epoch [7][4800/7330] lr: 1.000e-04, eta: 1 day, 2:56:00, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0385, loss_cls: 0.1983, acc: 93.0676, loss_bbox: 0.2427, loss_mask: 0.2444, loss: 0.7569 +2022-09-22 02:47:48,385 - mmdet - INFO - Epoch [7][4850/7330] lr: 1.000e-04, eta: 1 day, 2:55:34, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0369, loss_cls: 0.1892, acc: 93.2622, loss_bbox: 0.2310, loss_mask: 0.2348, loss: 0.7217 +2022-09-22 02:48:09,978 - mmdet - INFO - Epoch [7][4900/7330] lr: 1.000e-04, eta: 1 day, 2:55:08, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0373, loss_cls: 0.2029, acc: 92.7908, loss_bbox: 0.2426, loss_mask: 0.2439, loss: 0.7586 +2022-09-22 02:48:31,595 - mmdet - INFO - Epoch [7][4950/7330] lr: 1.000e-04, eta: 1 day, 2:54:41, time: 0.432, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0326, loss_cls: 0.1879, acc: 93.4441, loss_bbox: 0.2250, loss_mask: 0.2329, loss: 0.7046 +2022-09-22 02:48:53,569 - mmdet - INFO - Epoch [7][5000/7330] lr: 1.000e-04, eta: 1 day, 2:54:16, time: 0.439, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0365, loss_cls: 0.1991, acc: 93.0471, loss_bbox: 0.2356, loss_mask: 0.2410, loss: 0.7438 +2022-09-22 02:49:15,107 - mmdet - INFO - Epoch [7][5050/7330] lr: 1.000e-04, eta: 1 day, 2:53:49, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0337, loss_cls: 0.1857, acc: 93.5476, loss_bbox: 0.2235, loss_mask: 0.2339, loss: 0.7033 +2022-09-22 02:49:36,744 - mmdet - INFO - Epoch [7][5100/7330] lr: 1.000e-04, eta: 1 day, 2:53:23, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0355, loss_cls: 0.1859, acc: 93.3530, loss_bbox: 0.2297, loss_mask: 0.2344, loss: 0.7152 +2022-09-22 02:49:58,189 - mmdet - INFO - Epoch [7][5150/7330] lr: 1.000e-04, eta: 1 day, 2:52:56, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0386, loss_cls: 0.2017, acc: 93.0068, loss_bbox: 0.2346, loss_mask: 0.2360, loss: 0.7418 +2022-09-22 02:50:20,018 - mmdet - INFO - Epoch [7][5200/7330] lr: 1.000e-04, eta: 1 day, 2:52:30, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0368, loss_cls: 0.1903, acc: 93.1748, loss_bbox: 0.2354, loss_mask: 0.2348, loss: 0.7284 +2022-09-22 02:50:41,902 - mmdet - INFO - Epoch [7][5250/7330] lr: 1.000e-04, eta: 1 day, 2:52:05, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0374, loss_cls: 0.1932, acc: 93.0444, loss_bbox: 0.2362, loss_mask: 0.2426, loss: 0.7392 +2022-09-22 02:51:04,091 - mmdet - INFO - Epoch [7][5300/7330] lr: 1.000e-04, eta: 1 day, 2:51:41, time: 0.444, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0359, loss_cls: 0.1999, acc: 93.0344, loss_bbox: 0.2345, loss_mask: 0.2440, loss: 0.7451 +2022-09-22 02:51:25,789 - mmdet - INFO - Epoch [7][5350/7330] lr: 1.000e-04, eta: 1 day, 2:51:14, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0362, loss_cls: 0.1981, acc: 93.1763, loss_bbox: 0.2264, loss_mask: 0.2316, loss: 0.7215 +2022-09-22 02:51:47,449 - mmdet - INFO - Epoch [7][5400/7330] lr: 1.000e-04, eta: 1 day, 2:50:48, time: 0.433, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0338, loss_cls: 0.1919, acc: 93.2925, loss_bbox: 0.2268, loss_mask: 0.2327, loss: 0.7139 +2022-09-22 02:52:09,404 - mmdet - INFO - Epoch [7][5450/7330] lr: 1.000e-04, eta: 1 day, 2:50:23, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0371, loss_cls: 0.1947, acc: 93.1736, loss_bbox: 0.2324, loss_mask: 0.2414, loss: 0.7350 +2022-09-22 02:52:30,995 - mmdet - INFO - Epoch [7][5500/7330] lr: 1.000e-04, eta: 1 day, 2:49:56, time: 0.432, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0347, loss_cls: 0.1899, acc: 93.3313, loss_bbox: 0.2280, loss_mask: 0.2386, loss: 0.7176 +2022-09-22 02:52:52,576 - mmdet - INFO - Epoch [7][5550/7330] lr: 1.000e-04, eta: 1 day, 2:49:30, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0375, loss_cls: 0.1884, acc: 93.2583, loss_bbox: 0.2289, loss_mask: 0.2404, loss: 0.7255 +2022-09-22 02:53:14,228 - mmdet - INFO - Epoch [7][5600/7330] lr: 1.000e-04, eta: 1 day, 2:49:04, time: 0.433, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0357, loss_cls: 0.1926, acc: 93.1423, loss_bbox: 0.2364, loss_mask: 0.2393, loss: 0.7323 +2022-09-22 02:53:36,171 - mmdet - INFO - Epoch [7][5650/7330] lr: 1.000e-04, eta: 1 day, 2:48:39, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0350, loss_cls: 0.1962, acc: 93.2073, loss_bbox: 0.2286, loss_mask: 0.2411, loss: 0.7301 +2022-09-22 02:53:57,652 - mmdet - INFO - Epoch [7][5700/7330] lr: 1.000e-04, eta: 1 day, 2:48:11, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0354, loss_cls: 0.1941, acc: 93.1858, loss_bbox: 0.2316, loss_mask: 0.2360, loss: 0.7262 +2022-09-22 02:54:19,078 - mmdet - INFO - Epoch [7][5750/7330] lr: 1.000e-04, eta: 1 day, 2:47:44, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0364, loss_cls: 0.2024, acc: 93.0417, loss_bbox: 0.2380, loss_mask: 0.2382, loss: 0.7447 +2022-09-22 02:54:40,675 - mmdet - INFO - Epoch [7][5800/7330] lr: 1.000e-04, eta: 1 day, 2:47:18, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0387, loss_cls: 0.1908, acc: 93.3279, loss_bbox: 0.2321, loss_mask: 0.2395, loss: 0.7335 +2022-09-22 02:55:02,145 - mmdet - INFO - Epoch [7][5850/7330] lr: 1.000e-04, eta: 1 day, 2:46:51, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0365, loss_cls: 0.1872, acc: 93.3450, loss_bbox: 0.2297, loss_mask: 0.2355, loss: 0.7167 +2022-09-22 02:55:23,657 - mmdet - INFO - Epoch [7][5900/7330] lr: 1.000e-04, eta: 1 day, 2:46:24, time: 0.430, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0352, loss_cls: 0.1858, acc: 93.5222, loss_bbox: 0.2260, loss_mask: 0.2354, loss: 0.7127 +2022-09-22 02:55:45,493 - mmdet - INFO - Epoch [7][5950/7330] lr: 1.000e-04, eta: 1 day, 2:45:58, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0350, loss_cls: 0.1956, acc: 93.1968, loss_bbox: 0.2301, loss_mask: 0.2306, loss: 0.7199 +2022-09-22 02:56:07,421 - mmdet - INFO - Epoch [7][6000/7330] lr: 1.000e-04, eta: 1 day, 2:45:33, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0366, loss_cls: 0.1952, acc: 93.1438, loss_bbox: 0.2351, loss_mask: 0.2389, loss: 0.7356 +2022-09-22 02:56:29,326 - mmdet - INFO - Epoch [7][6050/7330] lr: 1.000e-04, eta: 1 day, 2:45:08, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0357, loss_cls: 0.1913, acc: 93.2551, loss_bbox: 0.2289, loss_mask: 0.2318, loss: 0.7190 +2022-09-22 02:56:50,508 - mmdet - INFO - Epoch [7][6100/7330] lr: 1.000e-04, eta: 1 day, 2:44:40, time: 0.424, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0357, loss_cls: 0.1890, acc: 93.2932, loss_bbox: 0.2255, loss_mask: 0.2348, loss: 0.7155 +2022-09-22 02:57:12,056 - mmdet - INFO - Epoch [7][6150/7330] lr: 1.000e-04, eta: 1 day, 2:44:13, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0323, loss_cls: 0.1833, acc: 93.5940, loss_bbox: 0.2217, loss_mask: 0.2346, loss: 0.6996 +2022-09-22 02:57:33,837 - mmdet - INFO - Epoch [7][6200/7330] lr: 1.000e-04, eta: 1 day, 2:43:48, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0375, loss_cls: 0.2021, acc: 92.8098, loss_bbox: 0.2457, loss_mask: 0.2438, loss: 0.7597 +2022-09-22 02:57:56,177 - mmdet - INFO - Epoch [7][6250/7330] lr: 1.000e-04, eta: 1 day, 2:43:24, time: 0.447, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0370, loss_cls: 0.1874, acc: 93.3550, loss_bbox: 0.2305, loss_mask: 0.2332, loss: 0.7199 +2022-09-22 02:58:17,592 - mmdet - INFO - Epoch [7][6300/7330] lr: 1.000e-04, eta: 1 day, 2:42:57, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0369, loss_cls: 0.1913, acc: 93.2024, loss_bbox: 0.2353, loss_mask: 0.2415, loss: 0.7366 +2022-09-22 02:58:39,378 - mmdet - INFO - Epoch [7][6350/7330] lr: 1.000e-04, eta: 1 day, 2:42:32, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0337, loss_cls: 0.1752, acc: 93.8928, loss_bbox: 0.2092, loss_mask: 0.2297, loss: 0.6767 +2022-09-22 02:59:00,589 - mmdet - INFO - Epoch [7][6400/7330] lr: 1.000e-04, eta: 1 day, 2:42:04, time: 0.424, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0367, loss_cls: 0.1922, acc: 93.2930, loss_bbox: 0.2344, loss_mask: 0.2419, loss: 0.7373 +2022-09-22 02:59:21,847 - mmdet - INFO - Epoch [7][6450/7330] lr: 1.000e-04, eta: 1 day, 2:41:36, time: 0.425, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0376, loss_cls: 0.1875, acc: 93.4006, loss_bbox: 0.2284, loss_mask: 0.2420, loss: 0.7249 +2022-09-22 02:59:43,674 - mmdet - INFO - Epoch [7][6500/7330] lr: 1.000e-04, eta: 1 day, 2:41:10, time: 0.437, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0364, loss_cls: 0.2002, acc: 93.0476, loss_bbox: 0.2373, loss_mask: 0.2379, loss: 0.7399 +2022-09-22 03:00:05,204 - mmdet - INFO - Epoch [7][6550/7330] lr: 1.000e-04, eta: 1 day, 2:40:44, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0355, loss_cls: 0.1889, acc: 93.4690, loss_bbox: 0.2233, loss_mask: 0.2322, loss: 0.7096 +2022-09-22 03:00:26,904 - mmdet - INFO - Epoch [7][6600/7330] lr: 1.000e-04, eta: 1 day, 2:40:18, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0349, loss_cls: 0.1914, acc: 93.2041, loss_bbox: 0.2317, loss_mask: 0.2372, loss: 0.7240 +2022-09-22 03:00:48,452 - mmdet - INFO - Epoch [7][6650/7330] lr: 1.000e-04, eta: 1 day, 2:39:51, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0371, loss_cls: 0.1974, acc: 93.0317, loss_bbox: 0.2332, loss_mask: 0.2414, loss: 0.7399 +2022-09-22 03:01:09,900 - mmdet - INFO - Epoch [7][6700/7330] lr: 1.000e-04, eta: 1 day, 2:39:24, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0340, loss_cls: 0.1793, acc: 93.7080, loss_bbox: 0.2190, loss_mask: 0.2317, loss: 0.6912 +2022-09-22 03:01:31,197 - mmdet - INFO - Epoch [7][6750/7330] lr: 1.000e-04, eta: 1 day, 2:38:57, time: 0.427, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0346, loss_cls: 0.1941, acc: 93.2842, loss_bbox: 0.2322, loss_mask: 0.2335, loss: 0.7214 +2022-09-22 03:01:52,617 - mmdet - INFO - Epoch [7][6800/7330] lr: 1.000e-04, eta: 1 day, 2:38:30, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0353, loss_cls: 0.1934, acc: 93.3250, loss_bbox: 0.2287, loss_mask: 0.2400, loss: 0.7276 +2022-09-22 03:02:14,389 - mmdet - INFO - Epoch [7][6850/7330] lr: 1.000e-04, eta: 1 day, 2:38:04, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0344, loss_cls: 0.1864, acc: 93.5110, loss_bbox: 0.2212, loss_mask: 0.2324, loss: 0.7012 +2022-09-22 03:02:36,595 - mmdet - INFO - Epoch [7][6900/7330] lr: 1.000e-04, eta: 1 day, 2:37:40, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0368, loss_cls: 0.2024, acc: 93.0425, loss_bbox: 0.2349, loss_mask: 0.2369, loss: 0.7410 +2022-09-22 03:02:58,376 - mmdet - INFO - Epoch [7][6950/7330] lr: 1.000e-04, eta: 1 day, 2:37:15, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0359, loss_cls: 0.1990, acc: 93.0410, loss_bbox: 0.2352, loss_mask: 0.2406, loss: 0.7406 +2022-09-22 03:03:20,198 - mmdet - INFO - Epoch [7][7000/7330] lr: 1.000e-04, eta: 1 day, 2:36:49, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0348, loss_cls: 0.1885, acc: 93.5271, loss_bbox: 0.2222, loss_mask: 0.2322, loss: 0.7058 +2022-09-22 03:03:41,531 - mmdet - INFO - Epoch [7][7050/7330] lr: 1.000e-04, eta: 1 day, 2:36:22, time: 0.427, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0375, loss_cls: 0.1945, acc: 93.1165, loss_bbox: 0.2364, loss_mask: 0.2382, loss: 0.7362 +2022-09-22 03:04:03,227 - mmdet - INFO - Epoch [7][7100/7330] lr: 1.000e-04, eta: 1 day, 2:35:56, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0350, loss_cls: 0.1806, acc: 93.6067, loss_bbox: 0.2211, loss_mask: 0.2347, loss: 0.6994 +2022-09-22 03:04:24,897 - mmdet - INFO - Epoch [7][7150/7330] lr: 1.000e-04, eta: 1 day, 2:35:30, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0335, loss_cls: 0.1806, acc: 93.7485, loss_bbox: 0.2171, loss_mask: 0.2296, loss: 0.6882 +2022-09-22 03:04:46,396 - mmdet - INFO - Epoch [7][7200/7330] lr: 1.000e-04, eta: 1 day, 2:35:04, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0339, loss_cls: 0.1894, acc: 93.3035, loss_bbox: 0.2261, loss_mask: 0.2349, loss: 0.7135 +2022-09-22 03:05:08,073 - mmdet - INFO - Epoch [7][7250/7330] lr: 1.000e-04, eta: 1 day, 2:34:38, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0358, loss_cls: 0.1921, acc: 93.3794, loss_bbox: 0.2257, loss_mask: 0.2404, loss: 0.7242 +2022-09-22 03:05:29,714 - mmdet - INFO - Epoch [7][7300/7330] lr: 1.000e-04, eta: 1 day, 2:34:12, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0355, loss_cls: 0.1927, acc: 93.2588, loss_bbox: 0.2299, loss_mask: 0.2391, loss: 0.7248 +2022-09-22 03:05:51,910 - mmdet - INFO - Saving checkpoint at 7 epochs +2022-09-22 03:07:50,905 - mmdet - INFO - Evaluating bbox... +2022-09-22 03:08:20,300 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.455 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.684 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.505 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.301 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.494 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.592 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.588 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.588 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.588 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.418 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.630 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.732 + +2022-09-22 03:08:20,301 - mmdet - INFO - Evaluating segm... +2022-09-22 03:08:54,123 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.408 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.650 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.435 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.217 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.446 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.532 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.532 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.532 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.352 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.575 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.698 + +2022-09-22 03:08:54,593 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 03:08:54,594 - mmdet - INFO - Epoch(val) [7][625] bbox_mAP: 0.4550, bbox_mAP_50: 0.6840, bbox_mAP_75: 0.5050, bbox_mAP_s: 0.3010, bbox_mAP_m: 0.4940, bbox_mAP_l: 0.5920, bbox_mAP_copypaste: 0.455 0.684 0.505 0.301 0.494 0.592, segm_mAP: 0.4080, segm_mAP_50: 0.6500, segm_mAP_75: 0.4350, segm_mAP_s: 0.2170, segm_mAP_m: 0.4460, segm_mAP_l: 0.5970, segm_mAP_copypaste: 0.408 0.650 0.435 0.217 0.446 0.597 +2022-09-22 03:11:41,393 - mmdet - INFO - Epoch [8][50/7330] lr: 1.000e-04, eta: 1 day, 2:42:37, time: 3.336, data_time: 2.900, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0360, loss_cls: 0.1929, acc: 93.3201, loss_bbox: 0.2337, loss_mask: 0.2417, loss: 0.7332 +2022-09-22 03:12:03,644 - mmdet - INFO - Epoch [8][100/7330] lr: 1.000e-04, eta: 1 day, 2:42:13, time: 0.445, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0350, loss_cls: 0.1839, acc: 93.4683, loss_bbox: 0.2254, loss_mask: 0.2297, loss: 0.6998 +2022-09-22 03:12:26,241 - mmdet - INFO - Epoch [8][150/7330] lr: 1.000e-04, eta: 1 day, 2:41:50, time: 0.452, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0355, loss_cls: 0.1847, acc: 93.3452, loss_bbox: 0.2298, loss_mask: 0.2301, loss: 0.7073 +2022-09-22 03:12:48,934 - mmdet - INFO - Epoch [8][200/7330] lr: 1.000e-04, eta: 1 day, 2:41:28, time: 0.454, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0364, loss_cls: 0.1957, acc: 93.0017, loss_bbox: 0.2400, loss_mask: 0.2380, loss: 0.7405 +2022-09-22 03:13:11,124 - mmdet - INFO - Epoch [8][250/7330] lr: 1.000e-04, eta: 1 day, 2:41:03, time: 0.444, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0354, loss_cls: 0.1892, acc: 93.3032, loss_bbox: 0.2276, loss_mask: 0.2344, loss: 0.7137 +2022-09-22 03:13:32,623 - mmdet - INFO - Epoch [8][300/7330] lr: 1.000e-04, eta: 1 day, 2:40:36, time: 0.430, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0322, loss_cls: 0.1818, acc: 93.5295, loss_bbox: 0.2207, loss_mask: 0.2265, loss: 0.6858 +2022-09-22 03:13:54,552 - mmdet - INFO - Epoch [8][350/7330] lr: 1.000e-04, eta: 1 day, 2:40:11, time: 0.439, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0336, loss_cls: 0.1854, acc: 93.4951, loss_bbox: 0.2216, loss_mask: 0.2315, loss: 0.7005 +2022-09-22 03:14:16,768 - mmdet - INFO - Epoch [8][400/7330] lr: 1.000e-04, eta: 1 day, 2:39:46, time: 0.444, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0375, loss_cls: 0.1870, acc: 93.3403, loss_bbox: 0.2297, loss_mask: 0.2356, loss: 0.7204 +2022-09-22 03:14:39,040 - mmdet - INFO - Epoch [8][450/7330] lr: 1.000e-04, eta: 1 day, 2:39:22, time: 0.446, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0324, loss_cls: 0.1805, acc: 93.5708, loss_bbox: 0.2229, loss_mask: 0.2336, loss: 0.6944 +2022-09-22 03:15:01,187 - mmdet - INFO - Epoch [8][500/7330] lr: 1.000e-04, eta: 1 day, 2:38:58, time: 0.443, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0325, loss_cls: 0.1844, acc: 93.3921, loss_bbox: 0.2270, loss_mask: 0.2329, loss: 0.7027 +2022-09-22 03:15:23,354 - mmdet - INFO - Epoch [8][550/7330] lr: 1.000e-04, eta: 1 day, 2:38:33, time: 0.444, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0354, loss_cls: 0.1874, acc: 93.3857, loss_bbox: 0.2265, loss_mask: 0.2326, loss: 0.7111 +2022-09-22 03:15:45,661 - mmdet - INFO - Epoch [8][600/7330] lr: 1.000e-04, eta: 1 day, 2:38:09, time: 0.446, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0359, loss_cls: 0.1877, acc: 93.3738, loss_bbox: 0.2321, loss_mask: 0.2308, loss: 0.7136 +2022-09-22 03:16:07,872 - mmdet - INFO - Epoch [8][650/7330] lr: 1.000e-04, eta: 1 day, 2:37:45, time: 0.444, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0378, loss_cls: 0.1989, acc: 93.0176, loss_bbox: 0.2425, loss_mask: 0.2471, loss: 0.7571 +2022-09-22 03:16:29,964 - mmdet - INFO - Epoch [8][700/7330] lr: 1.000e-04, eta: 1 day, 2:37:20, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0368, loss_cls: 0.1848, acc: 93.4377, loss_bbox: 0.2273, loss_mask: 0.2324, loss: 0.7108 +2022-09-22 03:16:52,167 - mmdet - INFO - Epoch [8][750/7330] lr: 1.000e-04, eta: 1 day, 2:36:56, time: 0.444, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0356, loss_cls: 0.1843, acc: 93.5752, loss_bbox: 0.2213, loss_mask: 0.2349, loss: 0.7055 +2022-09-22 03:17:14,387 - mmdet - INFO - Epoch [8][800/7330] lr: 1.000e-04, eta: 1 day, 2:36:32, time: 0.444, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0348, loss_cls: 0.1878, acc: 93.3665, loss_bbox: 0.2226, loss_mask: 0.2303, loss: 0.7038 +2022-09-22 03:17:36,049 - mmdet - INFO - Epoch [8][850/7330] lr: 1.000e-04, eta: 1 day, 2:36:05, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0308, loss_cls: 0.1765, acc: 93.7988, loss_bbox: 0.2200, loss_mask: 0.2287, loss: 0.6822 +2022-09-22 03:17:57,535 - mmdet - INFO - Epoch [8][900/7330] lr: 1.000e-04, eta: 1 day, 2:35:38, time: 0.431, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0349, loss_cls: 0.1860, acc: 93.5259, loss_bbox: 0.2276, loss_mask: 0.2375, loss: 0.7138 +2022-09-22 03:18:19,513 - mmdet - INFO - Epoch [8][950/7330] lr: 1.000e-04, eta: 1 day, 2:35:13, time: 0.440, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0388, loss_cls: 0.1904, acc: 93.1614, loss_bbox: 0.2378, loss_mask: 0.2369, loss: 0.7354 +2022-09-22 03:18:41,316 - mmdet - INFO - Epoch [8][1000/7330] lr: 1.000e-04, eta: 1 day, 2:34:47, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0336, loss_cls: 0.1845, acc: 93.5059, loss_bbox: 0.2226, loss_mask: 0.2384, loss: 0.7043 +2022-09-22 03:19:03,273 - mmdet - INFO - Epoch [8][1050/7330] lr: 1.000e-04, eta: 1 day, 2:34:22, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0350, loss_cls: 0.1849, acc: 93.5059, loss_bbox: 0.2265, loss_mask: 0.2338, loss: 0.7075 +2022-09-22 03:19:25,071 - mmdet - INFO - Epoch [8][1100/7330] lr: 1.000e-04, eta: 1 day, 2:33:56, time: 0.436, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0353, loss_cls: 0.1954, acc: 93.1873, loss_bbox: 0.2313, loss_mask: 0.2321, loss: 0.7223 +2022-09-22 03:19:47,027 - mmdet - INFO - Epoch [8][1150/7330] lr: 1.000e-04, eta: 1 day, 2:33:30, time: 0.439, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0371, loss_cls: 0.1843, acc: 93.4390, loss_bbox: 0.2321, loss_mask: 0.2386, loss: 0.7194 +2022-09-22 03:20:09,052 - mmdet - INFO - Epoch [8][1200/7330] lr: 1.000e-04, eta: 1 day, 2:33:05, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0346, loss_cls: 0.1878, acc: 93.4353, loss_bbox: 0.2274, loss_mask: 0.2309, loss: 0.7071 +2022-09-22 03:20:30,912 - mmdet - INFO - Epoch [8][1250/7330] lr: 1.000e-04, eta: 1 day, 2:32:40, time: 0.437, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0355, loss_cls: 0.1853, acc: 93.4114, loss_bbox: 0.2264, loss_mask: 0.2314, loss: 0.7072 +2022-09-22 03:20:52,762 - mmdet - INFO - Epoch [8][1300/7330] lr: 1.000e-04, eta: 1 day, 2:32:14, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0353, loss_cls: 0.1765, acc: 93.6628, loss_bbox: 0.2200, loss_mask: 0.2338, loss: 0.6930 +2022-09-22 03:21:14,197 - mmdet - INFO - Epoch [8][1350/7330] lr: 1.000e-04, eta: 1 day, 2:31:47, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0359, loss_cls: 0.1862, acc: 93.4070, loss_bbox: 0.2268, loss_mask: 0.2346, loss: 0.7113 +2022-09-22 03:21:35,963 - mmdet - INFO - Epoch [8][1400/7330] lr: 1.000e-04, eta: 1 day, 2:31:21, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0344, loss_cls: 0.1780, acc: 93.5913, loss_bbox: 0.2194, loss_mask: 0.2298, loss: 0.6874 +2022-09-22 03:21:58,120 - mmdet - INFO - Epoch [8][1450/7330] lr: 1.000e-04, eta: 1 day, 2:30:56, time: 0.443, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0385, loss_cls: 0.1943, acc: 93.2043, loss_bbox: 0.2302, loss_mask: 0.2333, loss: 0.7277 +2022-09-22 03:22:20,125 - mmdet - INFO - Epoch [8][1500/7330] lr: 1.000e-04, eta: 1 day, 2:30:31, time: 0.440, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0348, loss_cls: 0.1849, acc: 93.5444, loss_bbox: 0.2265, loss_mask: 0.2322, loss: 0.7048 +2022-09-22 03:22:42,010 - mmdet - INFO - Epoch [8][1550/7330] lr: 1.000e-04, eta: 1 day, 2:30:06, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0353, loss_cls: 0.1879, acc: 93.2839, loss_bbox: 0.2283, loss_mask: 0.2330, loss: 0.7124 +2022-09-22 03:23:03,472 - mmdet - INFO - Epoch [8][1600/7330] lr: 1.000e-04, eta: 1 day, 2:29:39, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0344, loss_cls: 0.1835, acc: 93.3979, loss_bbox: 0.2278, loss_mask: 0.2342, loss: 0.7070 +2022-09-22 03:23:25,402 - mmdet - INFO - Epoch [8][1650/7330] lr: 1.000e-04, eta: 1 day, 2:29:13, time: 0.439, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0366, loss_cls: 0.1971, acc: 93.0308, loss_bbox: 0.2353, loss_mask: 0.2409, loss: 0.7405 +2022-09-22 03:23:47,513 - mmdet - INFO - Epoch [8][1700/7330] lr: 1.000e-04, eta: 1 day, 2:28:49, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0346, loss_cls: 0.1796, acc: 93.5925, loss_bbox: 0.2185, loss_mask: 0.2291, loss: 0.6908 +2022-09-22 03:24:09,594 - mmdet - INFO - Epoch [8][1750/7330] lr: 1.000e-04, eta: 1 day, 2:28:24, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0367, loss_cls: 0.1899, acc: 93.2358, loss_bbox: 0.2305, loss_mask: 0.2370, loss: 0.7238 +2022-09-22 03:24:31,361 - mmdet - INFO - Epoch [8][1800/7330] lr: 1.000e-04, eta: 1 day, 2:27:58, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0342, loss_cls: 0.1889, acc: 93.1956, loss_bbox: 0.2293, loss_mask: 0.2336, loss: 0.7136 +2022-09-22 03:24:53,444 - mmdet - INFO - Epoch [8][1850/7330] lr: 1.000e-04, eta: 1 day, 2:27:34, time: 0.442, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0327, loss_cls: 0.1850, acc: 93.4778, loss_bbox: 0.2202, loss_mask: 0.2304, loss: 0.6917 +2022-09-22 03:25:14,845 - mmdet - INFO - Epoch [8][1900/7330] lr: 1.000e-04, eta: 1 day, 2:27:06, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0348, loss_cls: 0.1954, acc: 93.2563, loss_bbox: 0.2335, loss_mask: 0.2362, loss: 0.7287 +2022-09-22 03:25:36,465 - mmdet - INFO - Epoch [8][1950/7330] lr: 1.000e-04, eta: 1 day, 2:26:40, time: 0.432, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0346, loss_cls: 0.1842, acc: 93.5811, loss_bbox: 0.2242, loss_mask: 0.2350, loss: 0.7071 +2022-09-22 03:25:58,447 - mmdet - INFO - Epoch [8][2000/7330] lr: 1.000e-04, eta: 1 day, 2:26:15, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0375, loss_cls: 0.1940, acc: 93.0742, loss_bbox: 0.2383, loss_mask: 0.2344, loss: 0.7324 +2022-09-22 03:26:20,591 - mmdet - INFO - Epoch [8][2050/7330] lr: 1.000e-04, eta: 1 day, 2:25:50, time: 0.441, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0339, loss_cls: 0.1894, acc: 93.3403, loss_bbox: 0.2267, loss_mask: 0.2303, loss: 0.7077 +2022-09-22 03:26:42,927 - mmdet - INFO - Epoch [8][2100/7330] lr: 1.000e-04, eta: 1 day, 2:25:27, time: 0.449, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0356, loss_cls: 0.1956, acc: 93.1982, loss_bbox: 0.2338, loss_mask: 0.2414, loss: 0.7341 +2022-09-22 03:27:05,304 - mmdet - INFO - Epoch [8][2150/7330] lr: 1.000e-04, eta: 1 day, 2:25:03, time: 0.448, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0352, loss_cls: 0.1969, acc: 93.1167, loss_bbox: 0.2360, loss_mask: 0.2329, loss: 0.7277 +2022-09-22 03:27:27,111 - mmdet - INFO - Epoch [8][2200/7330] lr: 1.000e-04, eta: 1 day, 2:24:38, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0345, loss_cls: 0.1855, acc: 93.3752, loss_bbox: 0.2251, loss_mask: 0.2348, loss: 0.7088 +2022-09-22 03:27:49,244 - mmdet - INFO - Epoch [8][2250/7330] lr: 1.000e-04, eta: 1 day, 2:24:13, time: 0.442, data_time: 0.023, memory: 30699, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0379, loss_cls: 0.1968, acc: 93.0186, loss_bbox: 0.2371, loss_mask: 0.2356, loss: 0.7374 +2022-09-22 03:28:11,154 - mmdet - INFO - Epoch [8][2300/7330] lr: 1.000e-04, eta: 1 day, 2:23:48, time: 0.439, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0363, loss_cls: 0.1915, acc: 93.1814, loss_bbox: 0.2316, loss_mask: 0.2338, loss: 0.7220 +2022-09-22 03:28:32,891 - mmdet - INFO - Epoch [8][2350/7330] lr: 1.000e-04, eta: 1 day, 2:23:22, time: 0.435, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0349, loss_cls: 0.1907, acc: 93.3142, loss_bbox: 0.2295, loss_mask: 0.2391, loss: 0.7228 +2022-09-22 03:28:54,325 - mmdet - INFO - Epoch [8][2400/7330] lr: 1.000e-04, eta: 1 day, 2:22:55, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0337, loss_cls: 0.1830, acc: 93.5259, loss_bbox: 0.2213, loss_mask: 0.2346, loss: 0.7013 +2022-09-22 03:29:16,155 - mmdet - INFO - Epoch [8][2450/7330] lr: 1.000e-04, eta: 1 day, 2:22:29, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0355, loss_cls: 0.1933, acc: 93.1638, loss_bbox: 0.2271, loss_mask: 0.2320, loss: 0.7175 +2022-09-22 03:29:37,664 - mmdet - INFO - Epoch [8][2500/7330] lr: 1.000e-04, eta: 1 day, 2:22:02, time: 0.429, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0350, loss_cls: 0.1869, acc: 93.3423, loss_bbox: 0.2280, loss_mask: 0.2363, loss: 0.7149 +2022-09-22 03:29:59,619 - mmdet - INFO - Epoch [8][2550/7330] lr: 1.000e-04, eta: 1 day, 2:21:37, time: 0.440, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0356, loss_cls: 0.1876, acc: 93.4092, loss_bbox: 0.2268, loss_mask: 0.2303, loss: 0.7071 +2022-09-22 03:30:21,054 - mmdet - INFO - Epoch [8][2600/7330] lr: 1.000e-04, eta: 1 day, 2:21:10, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0362, loss_cls: 0.1894, acc: 93.2898, loss_bbox: 0.2284, loss_mask: 0.2360, loss: 0.7183 +2022-09-22 03:30:42,623 - mmdet - INFO - Epoch [8][2650/7330] lr: 1.000e-04, eta: 1 day, 2:20:43, time: 0.430, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0371, loss_cls: 0.1938, acc: 93.1223, loss_bbox: 0.2363, loss_mask: 0.2364, loss: 0.7325 +2022-09-22 03:31:04,762 - mmdet - INFO - Epoch [8][2700/7330] lr: 1.000e-04, eta: 1 day, 2:20:19, time: 0.444, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0340, loss_cls: 0.1858, acc: 93.4426, loss_bbox: 0.2250, loss_mask: 0.2321, loss: 0.7027 +2022-09-22 03:31:26,282 - mmdet - INFO - Epoch [8][2750/7330] lr: 1.000e-04, eta: 1 day, 2:19:52, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0370, loss_cls: 0.1951, acc: 93.0034, loss_bbox: 0.2391, loss_mask: 0.2381, loss: 0.7403 +2022-09-22 03:31:47,784 - mmdet - INFO - Epoch [8][2800/7330] lr: 1.000e-04, eta: 1 day, 2:19:26, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0328, loss_cls: 0.1804, acc: 93.5969, loss_bbox: 0.2208, loss_mask: 0.2267, loss: 0.6878 +2022-09-22 03:32:09,487 - mmdet - INFO - Epoch [8][2850/7330] lr: 1.000e-04, eta: 1 day, 2:19:00, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0346, loss_cls: 0.1792, acc: 93.7134, loss_bbox: 0.2200, loss_mask: 0.2334, loss: 0.6966 +2022-09-22 03:32:31,639 - mmdet - INFO - Epoch [8][2900/7330] lr: 1.000e-04, eta: 1 day, 2:18:35, time: 0.443, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0365, loss_cls: 0.1916, acc: 93.2192, loss_bbox: 0.2320, loss_mask: 0.2383, loss: 0.7270 +2022-09-22 03:32:53,259 - mmdet - INFO - Epoch [8][2950/7330] lr: 1.000e-04, eta: 1 day, 2:18:09, time: 0.432, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0370, loss_cls: 0.1858, acc: 93.4751, loss_bbox: 0.2277, loss_mask: 0.2336, loss: 0.7149 +2022-09-22 03:33:14,736 - mmdet - INFO - Epoch [8][3000/7330] lr: 1.000e-04, eta: 1 day, 2:17:42, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0333, loss_cls: 0.1834, acc: 93.5532, loss_bbox: 0.2287, loss_mask: 0.2364, loss: 0.7085 +2022-09-22 03:33:36,700 - mmdet - INFO - Epoch [8][3050/7330] lr: 1.000e-04, eta: 1 day, 2:17:17, time: 0.438, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0357, loss_cls: 0.1909, acc: 93.2324, loss_bbox: 0.2314, loss_mask: 0.2409, loss: 0.7268 +2022-09-22 03:33:58,459 - mmdet - INFO - Epoch [8][3100/7330] lr: 1.000e-04, eta: 1 day, 2:16:51, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0360, loss_cls: 0.1902, acc: 93.2507, loss_bbox: 0.2328, loss_mask: 0.2338, loss: 0.7220 +2022-09-22 03:34:20,093 - mmdet - INFO - Epoch [8][3150/7330] lr: 1.000e-04, eta: 1 day, 2:16:25, time: 0.433, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0369, loss_cls: 0.1836, acc: 93.4705, loss_bbox: 0.2250, loss_mask: 0.2374, loss: 0.7136 +2022-09-22 03:34:42,072 - mmdet - INFO - Epoch [8][3200/7330] lr: 1.000e-04, eta: 1 day, 2:16:00, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0357, loss_cls: 0.1956, acc: 93.1519, loss_bbox: 0.2343, loss_mask: 0.2348, loss: 0.7287 +2022-09-22 03:35:04,136 - mmdet - INFO - Epoch [8][3250/7330] lr: 1.000e-04, eta: 1 day, 2:15:36, time: 0.441, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0360, loss_cls: 0.1971, acc: 93.1470, loss_bbox: 0.2328, loss_mask: 0.2361, loss: 0.7314 +2022-09-22 03:35:25,966 - mmdet - INFO - Epoch [8][3300/7330] lr: 1.000e-04, eta: 1 day, 2:15:10, time: 0.437, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0347, loss_cls: 0.1944, acc: 93.1267, loss_bbox: 0.2317, loss_mask: 0.2330, loss: 0.7224 +2022-09-22 03:35:47,554 - mmdet - INFO - Epoch [8][3350/7330] lr: 1.000e-04, eta: 1 day, 2:14:44, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0356, loss_cls: 0.1861, acc: 93.4417, loss_bbox: 0.2313, loss_mask: 0.2333, loss: 0.7129 +2022-09-22 03:36:09,412 - mmdet - INFO - Epoch [8][3400/7330] lr: 1.000e-04, eta: 1 day, 2:14:19, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0353, loss_cls: 0.1861, acc: 93.4231, loss_bbox: 0.2284, loss_mask: 0.2273, loss: 0.7039 +2022-09-22 03:36:30,914 - mmdet - INFO - Epoch [8][3450/7330] lr: 1.000e-04, eta: 1 day, 2:13:52, time: 0.430, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0347, loss_cls: 0.1909, acc: 93.2861, loss_bbox: 0.2319, loss_mask: 0.2383, loss: 0.7218 +2022-09-22 03:36:52,707 - mmdet - INFO - Epoch [8][3500/7330] lr: 1.000e-04, eta: 1 day, 2:13:26, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0369, loss_cls: 0.2025, acc: 92.9429, loss_bbox: 0.2406, loss_mask: 0.2374, loss: 0.7470 +2022-09-22 03:37:14,862 - mmdet - INFO - Epoch [8][3550/7330] lr: 1.000e-04, eta: 1 day, 2:13:02, time: 0.442, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0349, loss_cls: 0.1828, acc: 93.4138, loss_bbox: 0.2271, loss_mask: 0.2326, loss: 0.7058 +2022-09-22 03:37:36,589 - mmdet - INFO - Epoch [8][3600/7330] lr: 1.000e-04, eta: 1 day, 2:12:36, time: 0.435, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0360, loss_cls: 0.1897, acc: 93.2839, loss_bbox: 0.2325, loss_mask: 0.2306, loss: 0.7144 +2022-09-22 03:37:58,445 - mmdet - INFO - Epoch [8][3650/7330] lr: 1.000e-04, eta: 1 day, 2:12:11, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0369, loss_cls: 0.1929, acc: 93.2874, loss_bbox: 0.2327, loss_mask: 0.2425, loss: 0.7356 +2022-09-22 03:38:20,792 - mmdet - INFO - Epoch [8][3700/7330] lr: 1.000e-04, eta: 1 day, 2:11:47, time: 0.447, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0354, loss_cls: 0.1897, acc: 93.2124, loss_bbox: 0.2314, loss_mask: 0.2349, loss: 0.7186 +2022-09-22 03:38:42,486 - mmdet - INFO - Epoch [8][3750/7330] lr: 1.000e-04, eta: 1 day, 2:11:22, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0358, loss_cls: 0.1891, acc: 93.3601, loss_bbox: 0.2295, loss_mask: 0.2414, loss: 0.7301 +2022-09-22 03:39:03,963 - mmdet - INFO - Epoch [8][3800/7330] lr: 1.000e-04, eta: 1 day, 2:10:55, time: 0.429, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0349, loss_cls: 0.1909, acc: 93.2185, loss_bbox: 0.2307, loss_mask: 0.2347, loss: 0.7200 +2022-09-22 03:39:25,741 - mmdet - INFO - Epoch [8][3850/7330] lr: 1.000e-04, eta: 1 day, 2:10:29, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0359, loss_cls: 0.1828, acc: 93.6484, loss_bbox: 0.2186, loss_mask: 0.2340, loss: 0.7009 +2022-09-22 03:39:47,442 - mmdet - INFO - Epoch [8][3900/7330] lr: 1.000e-04, eta: 1 day, 2:10:03, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0367, loss_cls: 0.1907, acc: 93.1428, loss_bbox: 0.2361, loss_mask: 0.2391, loss: 0.7318 +2022-09-22 03:40:09,318 - mmdet - INFO - Epoch [8][3950/7330] lr: 1.000e-04, eta: 1 day, 2:09:38, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0352, loss_cls: 0.1890, acc: 93.4146, loss_bbox: 0.2232, loss_mask: 0.2355, loss: 0.7117 +2022-09-22 03:40:30,752 - mmdet - INFO - Epoch [8][4000/7330] lr: 1.000e-04, eta: 1 day, 2:09:11, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0321, loss_cls: 0.1797, acc: 93.6511, loss_bbox: 0.2123, loss_mask: 0.2345, loss: 0.6868 +2022-09-22 03:40:52,782 - mmdet - INFO - Epoch [8][4050/7330] lr: 1.000e-04, eta: 1 day, 2:08:47, time: 0.441, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0360, loss_cls: 0.1908, acc: 93.3291, loss_bbox: 0.2313, loss_mask: 0.2319, loss: 0.7175 +2022-09-22 03:41:14,391 - mmdet - INFO - Epoch [8][4100/7330] lr: 1.000e-04, eta: 1 day, 2:08:21, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0336, loss_cls: 0.1856, acc: 93.6187, loss_bbox: 0.2213, loss_mask: 0.2341, loss: 0.7024 +2022-09-22 03:41:36,119 - mmdet - INFO - Epoch [8][4150/7330] lr: 1.000e-04, eta: 1 day, 2:07:55, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0348, loss_cls: 0.1868, acc: 93.4548, loss_bbox: 0.2214, loss_mask: 0.2277, loss: 0.7021 +2022-09-22 03:41:58,196 - mmdet - INFO - Epoch [8][4200/7330] lr: 1.000e-04, eta: 1 day, 2:07:30, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0357, loss_cls: 0.1930, acc: 93.2473, loss_bbox: 0.2293, loss_mask: 0.2322, loss: 0.7198 +2022-09-22 03:42:19,911 - mmdet - INFO - Epoch [8][4250/7330] lr: 1.000e-04, eta: 1 day, 2:07:05, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0333, loss_cls: 0.1926, acc: 93.3059, loss_bbox: 0.2280, loss_mask: 0.2361, loss: 0.7186 +2022-09-22 03:42:41,696 - mmdet - INFO - Epoch [8][4300/7330] lr: 1.000e-04, eta: 1 day, 2:06:39, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0332, loss_cls: 0.1885, acc: 93.3706, loss_bbox: 0.2299, loss_mask: 0.2415, loss: 0.7219 +2022-09-22 03:43:03,155 - mmdet - INFO - Epoch [8][4350/7330] lr: 1.000e-04, eta: 1 day, 2:06:12, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0352, loss_cls: 0.1871, acc: 93.4019, loss_bbox: 0.2247, loss_mask: 0.2270, loss: 0.7024 +2022-09-22 03:43:25,042 - mmdet - INFO - Epoch [8][4400/7330] lr: 1.000e-04, eta: 1 day, 2:05:47, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0324, loss_cls: 0.1779, acc: 93.8103, loss_bbox: 0.2148, loss_mask: 0.2293, loss: 0.6788 +2022-09-22 03:43:47,407 - mmdet - INFO - Epoch [8][4450/7330] lr: 1.000e-04, eta: 1 day, 2:05:24, time: 0.447, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0373, loss_cls: 0.1906, acc: 93.2083, loss_bbox: 0.2338, loss_mask: 0.2337, loss: 0.7244 +2022-09-22 03:44:09,147 - mmdet - INFO - Epoch [8][4500/7330] lr: 1.000e-04, eta: 1 day, 2:04:58, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0365, loss_cls: 0.1938, acc: 93.1663, loss_bbox: 0.2371, loss_mask: 0.2332, loss: 0.7267 +2022-09-22 03:44:31,667 - mmdet - INFO - Epoch [8][4550/7330] lr: 1.000e-04, eta: 1 day, 2:04:36, time: 0.450, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0377, loss_cls: 0.1934, acc: 93.2166, loss_bbox: 0.2321, loss_mask: 0.2345, loss: 0.7270 +2022-09-22 03:44:53,235 - mmdet - INFO - Epoch [8][4600/7330] lr: 1.000e-04, eta: 1 day, 2:04:09, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0345, loss_cls: 0.1846, acc: 93.5369, loss_bbox: 0.2218, loss_mask: 0.2326, loss: 0.7017 +2022-09-22 03:45:14,920 - mmdet - INFO - Epoch [8][4650/7330] lr: 1.000e-04, eta: 1 day, 2:03:43, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0354, loss_cls: 0.1921, acc: 93.2695, loss_bbox: 0.2309, loss_mask: 0.2400, loss: 0.7258 +2022-09-22 03:45:36,227 - mmdet - INFO - Epoch [8][4700/7330] lr: 1.000e-04, eta: 1 day, 2:03:16, time: 0.426, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0323, loss_cls: 0.1889, acc: 93.5210, loss_bbox: 0.2214, loss_mask: 0.2286, loss: 0.7017 +2022-09-22 03:45:57,823 - mmdet - INFO - Epoch [8][4750/7330] lr: 1.000e-04, eta: 1 day, 2:02:50, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0361, loss_cls: 0.1944, acc: 93.0955, loss_bbox: 0.2358, loss_mask: 0.2247, loss: 0.7196 +2022-09-22 03:46:20,027 - mmdet - INFO - Epoch [8][4800/7330] lr: 1.000e-04, eta: 1 day, 2:02:26, time: 0.444, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0367, loss_cls: 0.1946, acc: 93.2043, loss_bbox: 0.2292, loss_mask: 0.2388, loss: 0.7289 +2022-09-22 03:46:42,354 - mmdet - INFO - Epoch [8][4850/7330] lr: 1.000e-04, eta: 1 day, 2:02:03, time: 0.447, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0330, loss_cls: 0.1797, acc: 93.6736, loss_bbox: 0.2242, loss_mask: 0.2284, loss: 0.6915 +2022-09-22 03:47:04,446 - mmdet - INFO - Epoch [8][4900/7330] lr: 1.000e-04, eta: 1 day, 2:01:39, time: 0.442, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0363, loss_cls: 0.1921, acc: 93.2529, loss_bbox: 0.2289, loss_mask: 0.2331, loss: 0.7216 +2022-09-22 03:47:26,008 - mmdet - INFO - Epoch [8][4950/7330] lr: 1.000e-04, eta: 1 day, 2:01:12, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0325, loss_cls: 0.1771, acc: 93.7412, loss_bbox: 0.2151, loss_mask: 0.2321, loss: 0.6831 +2022-09-22 03:47:48,577 - mmdet - INFO - Epoch [8][5000/7330] lr: 1.000e-04, eta: 1 day, 2:00:50, time: 0.452, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0362, loss_cls: 0.1876, acc: 93.2690, loss_bbox: 0.2290, loss_mask: 0.2405, loss: 0.7210 +2022-09-22 03:48:11,018 - mmdet - INFO - Epoch [8][5050/7330] lr: 1.000e-04, eta: 1 day, 2:00:27, time: 0.449, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0358, loss_cls: 0.1841, acc: 93.4587, loss_bbox: 0.2309, loss_mask: 0.2333, loss: 0.7128 +2022-09-22 03:48:33,135 - mmdet - INFO - Epoch [8][5100/7330] lr: 1.000e-04, eta: 1 day, 2:00:02, time: 0.441, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0343, loss_cls: 0.1862, acc: 93.3765, loss_bbox: 0.2245, loss_mask: 0.2328, loss: 0.7030 +2022-09-22 03:48:55,030 - mmdet - INFO - Epoch [8][5150/7330] lr: 1.000e-04, eta: 1 day, 1:59:37, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0371, loss_cls: 0.1935, acc: 93.1531, loss_bbox: 0.2383, loss_mask: 0.2407, loss: 0.7381 +2022-09-22 03:49:16,896 - mmdet - INFO - Epoch [8][5200/7330] lr: 1.000e-04, eta: 1 day, 1:59:12, time: 0.438, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0360, loss_cls: 0.1911, acc: 93.1162, loss_bbox: 0.2370, loss_mask: 0.2311, loss: 0.7244 +2022-09-22 03:49:39,245 - mmdet - INFO - Epoch [8][5250/7330] lr: 1.000e-04, eta: 1 day, 1:58:49, time: 0.447, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0338, loss_cls: 0.1837, acc: 93.5601, loss_bbox: 0.2218, loss_mask: 0.2351, loss: 0.7031 +2022-09-22 03:50:00,956 - mmdet - INFO - Epoch [8][5300/7330] lr: 1.000e-04, eta: 1 day, 1:58:23, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0340, loss_cls: 0.1787, acc: 93.5742, loss_bbox: 0.2171, loss_mask: 0.2318, loss: 0.6880 +2022-09-22 03:50:22,363 - mmdet - INFO - Epoch [8][5350/7330] lr: 1.000e-04, eta: 1 day, 1:57:57, time: 0.428, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0343, loss_cls: 0.1825, acc: 93.5413, loss_bbox: 0.2204, loss_mask: 0.2337, loss: 0.6994 +2022-09-22 03:50:44,902 - mmdet - INFO - Epoch [8][5400/7330] lr: 1.000e-04, eta: 1 day, 1:57:34, time: 0.451, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0379, loss_cls: 0.1992, acc: 92.8796, loss_bbox: 0.2364, loss_mask: 0.2318, loss: 0.7345 +2022-09-22 03:51:06,607 - mmdet - INFO - Epoch [8][5450/7330] lr: 1.000e-04, eta: 1 day, 1:57:08, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0339, loss_cls: 0.1856, acc: 93.5076, loss_bbox: 0.2231, loss_mask: 0.2314, loss: 0.7022 +2022-09-22 03:51:28,744 - mmdet - INFO - Epoch [8][5500/7330] lr: 1.000e-04, eta: 1 day, 1:56:44, time: 0.443, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0365, loss_cls: 0.1987, acc: 93.0396, loss_bbox: 0.2410, loss_mask: 0.2384, loss: 0.7439 +2022-09-22 03:51:50,617 - mmdet - INFO - Epoch [8][5550/7330] lr: 1.000e-04, eta: 1 day, 1:56:19, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0353, loss_cls: 0.1943, acc: 93.1680, loss_bbox: 0.2321, loss_mask: 0.2343, loss: 0.7228 +2022-09-22 03:52:12,653 - mmdet - INFO - Epoch [8][5600/7330] lr: 1.000e-04, eta: 1 day, 1:55:55, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0351, loss_cls: 0.1906, acc: 93.2122, loss_bbox: 0.2312, loss_mask: 0.2269, loss: 0.7101 +2022-09-22 03:52:34,597 - mmdet - INFO - Epoch [8][5650/7330] lr: 1.000e-04, eta: 1 day, 1:55:30, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0379, loss_cls: 0.2005, acc: 93.0674, loss_bbox: 0.2441, loss_mask: 0.2401, loss: 0.7554 +2022-09-22 03:52:56,671 - mmdet - INFO - Epoch [8][5700/7330] lr: 1.000e-04, eta: 1 day, 1:55:06, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0366, loss_cls: 0.1820, acc: 93.5396, loss_bbox: 0.2309, loss_mask: 0.2326, loss: 0.7096 +2022-09-22 03:53:18,594 - mmdet - INFO - Epoch [8][5750/7330] lr: 1.000e-04, eta: 1 day, 1:54:41, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0344, loss_cls: 0.1936, acc: 93.2168, loss_bbox: 0.2278, loss_mask: 0.2277, loss: 0.7113 +2022-09-22 03:53:40,178 - mmdet - INFO - Epoch [8][5800/7330] lr: 1.000e-04, eta: 1 day, 1:54:15, time: 0.432, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0330, loss_cls: 0.1800, acc: 93.5427, loss_bbox: 0.2157, loss_mask: 0.2267, loss: 0.6837 +2022-09-22 03:54:02,272 - mmdet - INFO - Epoch [8][5850/7330] lr: 1.000e-04, eta: 1 day, 1:53:51, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0337, loss_cls: 0.1828, acc: 93.6396, loss_bbox: 0.2180, loss_mask: 0.2333, loss: 0.6952 +2022-09-22 03:54:23,769 - mmdet - INFO - Epoch [8][5900/7330] lr: 1.000e-04, eta: 1 day, 1:53:24, time: 0.430, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0341, loss_cls: 0.1884, acc: 93.3816, loss_bbox: 0.2250, loss_mask: 0.2355, loss: 0.7099 +2022-09-22 03:54:45,910 - mmdet - INFO - Epoch [8][5950/7330] lr: 1.000e-04, eta: 1 day, 1:53:00, time: 0.443, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0369, loss_cls: 0.1943, acc: 93.0754, loss_bbox: 0.2352, loss_mask: 0.2392, loss: 0.7351 +2022-09-22 03:55:07,590 - mmdet - INFO - Epoch [8][6000/7330] lr: 1.000e-04, eta: 1 day, 1:52:35, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0341, loss_cls: 0.1841, acc: 93.5266, loss_bbox: 0.2159, loss_mask: 0.2312, loss: 0.6949 +2022-09-22 03:55:29,538 - mmdet - INFO - Epoch [8][6050/7330] lr: 1.000e-04, eta: 1 day, 1:52:10, time: 0.439, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0368, loss_cls: 0.1958, acc: 93.2129, loss_bbox: 0.2310, loss_mask: 0.2337, loss: 0.7266 +2022-09-22 03:55:51,570 - mmdet - INFO - Epoch [8][6100/7330] lr: 1.000e-04, eta: 1 day, 1:51:46, time: 0.441, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0358, loss_cls: 0.1820, acc: 93.6223, loss_bbox: 0.2175, loss_mask: 0.2301, loss: 0.6941 +2022-09-22 03:56:13,512 - mmdet - INFO - Epoch [8][6150/7330] lr: 1.000e-04, eta: 1 day, 1:51:21, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0345, loss_cls: 0.1890, acc: 93.3350, loss_bbox: 0.2264, loss_mask: 0.2308, loss: 0.7100 +2022-09-22 03:56:35,717 - mmdet - INFO - Epoch [8][6200/7330] lr: 1.000e-04, eta: 1 day, 1:50:57, time: 0.444, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0372, loss_cls: 0.1965, acc: 93.0808, loss_bbox: 0.2398, loss_mask: 0.2401, loss: 0.7427 +2022-09-22 03:56:57,698 - mmdet - INFO - Epoch [8][6250/7330] lr: 1.000e-04, eta: 1 day, 1:50:32, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0343, loss_cls: 0.1899, acc: 93.2861, loss_bbox: 0.2299, loss_mask: 0.2379, loss: 0.7207 +2022-09-22 03:57:19,910 - mmdet - INFO - Epoch [8][6300/7330] lr: 1.000e-04, eta: 1 day, 1:50:09, time: 0.445, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0338, loss_cls: 0.1841, acc: 93.5461, loss_bbox: 0.2224, loss_mask: 0.2305, loss: 0.6972 +2022-09-22 03:57:41,882 - mmdet - INFO - Epoch [8][6350/7330] lr: 1.000e-04, eta: 1 day, 1:49:44, time: 0.440, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0341, loss_cls: 0.1802, acc: 93.5312, loss_bbox: 0.2198, loss_mask: 0.2258, loss: 0.6881 +2022-09-22 03:58:03,708 - mmdet - INFO - Epoch [8][6400/7330] lr: 1.000e-04, eta: 1 day, 1:49:19, time: 0.436, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0355, loss_cls: 0.1843, acc: 93.4783, loss_bbox: 0.2259, loss_mask: 0.2364, loss: 0.7112 +2022-09-22 03:58:25,627 - mmdet - INFO - Epoch [8][6450/7330] lr: 1.000e-04, eta: 1 day, 1:48:54, time: 0.438, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0339, loss_cls: 0.1841, acc: 93.3999, loss_bbox: 0.2204, loss_mask: 0.2351, loss: 0.7005 +2022-09-22 03:58:47,496 - mmdet - INFO - Epoch [8][6500/7330] lr: 1.000e-04, eta: 1 day, 1:48:29, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0364, loss_cls: 0.1976, acc: 93.0547, loss_bbox: 0.2319, loss_mask: 0.2331, loss: 0.7284 +2022-09-22 03:59:09,756 - mmdet - INFO - Epoch [8][6550/7330] lr: 1.000e-04, eta: 1 day, 1:48:06, time: 0.445, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0360, loss_cls: 0.1810, acc: 93.5513, loss_bbox: 0.2235, loss_mask: 0.2294, loss: 0.6959 +2022-09-22 03:59:32,236 - mmdet - INFO - Epoch [8][6600/7330] lr: 1.000e-04, eta: 1 day, 1:47:43, time: 0.450, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0355, loss_cls: 0.1892, acc: 93.2604, loss_bbox: 0.2255, loss_mask: 0.2254, loss: 0.7045 +2022-09-22 03:59:54,115 - mmdet - INFO - Epoch [8][6650/7330] lr: 1.000e-04, eta: 1 day, 1:47:18, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0341, loss_cls: 0.1906, acc: 93.3669, loss_bbox: 0.2167, loss_mask: 0.2265, loss: 0.6962 +2022-09-22 04:00:15,653 - mmdet - INFO - Epoch [8][6700/7330] lr: 1.000e-04, eta: 1 day, 1:46:52, time: 0.431, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0299, loss_cls: 0.1772, acc: 93.7700, loss_bbox: 0.2149, loss_mask: 0.2324, loss: 0.6798 +2022-09-22 04:00:37,809 - mmdet - INFO - Epoch [8][6750/7330] lr: 1.000e-04, eta: 1 day, 1:46:28, time: 0.443, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0334, loss_cls: 0.1823, acc: 93.5769, loss_bbox: 0.2220, loss_mask: 0.2350, loss: 0.7003 +2022-09-22 04:00:59,667 - mmdet - INFO - Epoch [8][6800/7330] lr: 1.000e-04, eta: 1 day, 1:46:03, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0354, loss_cls: 0.1915, acc: 93.2158, loss_bbox: 0.2282, loss_mask: 0.2330, loss: 0.7175 +2022-09-22 04:01:21,003 - mmdet - INFO - Epoch [8][6850/7330] lr: 1.000e-04, eta: 1 day, 1:45:36, time: 0.427, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0353, loss_cls: 0.1944, acc: 93.3137, loss_bbox: 0.2287, loss_mask: 0.2373, loss: 0.7241 +2022-09-22 04:01:42,529 - mmdet - INFO - Epoch [8][6900/7330] lr: 1.000e-04, eta: 1 day, 1:45:10, time: 0.431, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0359, loss_cls: 0.1976, acc: 93.0774, loss_bbox: 0.2378, loss_mask: 0.2363, loss: 0.7362 +2022-09-22 04:02:04,518 - mmdet - INFO - Epoch [8][6950/7330] lr: 1.000e-04, eta: 1 day, 1:44:46, time: 0.440, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0350, loss_cls: 0.1901, acc: 93.2263, loss_bbox: 0.2293, loss_mask: 0.2336, loss: 0.7142 +2022-09-22 04:02:26,397 - mmdet - INFO - Epoch [8][7000/7330] lr: 1.000e-04, eta: 1 day, 1:44:21, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0339, loss_cls: 0.1918, acc: 93.2610, loss_bbox: 0.2256, loss_mask: 0.2356, loss: 0.7154 +2022-09-22 04:02:47,982 - mmdet - INFO - Epoch [8][7050/7330] lr: 1.000e-04, eta: 1 day, 1:43:55, time: 0.432, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0334, loss_cls: 0.1844, acc: 93.4551, loss_bbox: 0.2173, loss_mask: 0.2290, loss: 0.6915 +2022-09-22 04:03:09,906 - mmdet - INFO - Epoch [8][7100/7330] lr: 1.000e-04, eta: 1 day, 1:43:30, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0367, loss_cls: 0.1965, acc: 93.0156, loss_bbox: 0.2318, loss_mask: 0.2311, loss: 0.7252 +2022-09-22 04:03:31,658 - mmdet - INFO - Epoch [8][7150/7330] lr: 1.000e-04, eta: 1 day, 1:43:05, time: 0.434, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0339, loss_cls: 0.1855, acc: 93.5354, loss_bbox: 0.2223, loss_mask: 0.2349, loss: 0.7023 +2022-09-22 04:03:53,286 - mmdet - INFO - Epoch [8][7200/7330] lr: 1.000e-04, eta: 1 day, 1:42:39, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0346, loss_cls: 0.1786, acc: 93.7078, loss_bbox: 0.2209, loss_mask: 0.2308, loss: 0.6935 +2022-09-22 04:04:14,986 - mmdet - INFO - Epoch [8][7250/7330] lr: 1.000e-04, eta: 1 day, 1:42:14, time: 0.434, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0355, loss_cls: 0.1997, acc: 92.9868, loss_bbox: 0.2359, loss_mask: 0.2394, loss: 0.7399 +2022-09-22 04:04:36,413 - mmdet - INFO - Epoch [8][7300/7330] lr: 1.000e-04, eta: 1 day, 1:41:47, time: 0.429, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0348, loss_cls: 0.1856, acc: 93.5642, loss_bbox: 0.2217, loss_mask: 0.2301, loss: 0.6994 +2022-09-22 04:04:59,153 - mmdet - INFO - Saving checkpoint at 8 epochs +2022-09-22 04:06:53,599 - mmdet - INFO - Evaluating bbox... +2022-09-22 04:07:21,791 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.457 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.692 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.503 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.303 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.497 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.589 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.590 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.590 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.590 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.415 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.629 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.732 + +2022-09-22 04:07:21,791 - mmdet - INFO - Evaluating segm... +2022-09-22 04:07:52,911 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.414 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.659 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.446 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.234 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.450 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.599 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.540 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.540 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.540 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.357 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.582 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.702 + +2022-09-22 04:07:53,457 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 04:07:53,458 - mmdet - INFO - Epoch(val) [8][625] bbox_mAP: 0.4570, bbox_mAP_50: 0.6920, bbox_mAP_75: 0.5030, bbox_mAP_s: 0.3030, bbox_mAP_m: 0.4970, bbox_mAP_l: 0.5890, bbox_mAP_copypaste: 0.457 0.692 0.503 0.303 0.497 0.589, segm_mAP: 0.4140, segm_mAP_50: 0.6590, segm_mAP_75: 0.4460, segm_mAP_s: 0.2340, segm_mAP_m: 0.4500, segm_mAP_l: 0.5990, segm_mAP_copypaste: 0.414 0.659 0.446 0.234 0.450 0.599 +2022-09-22 04:10:01,114 - mmdet - INFO - Epoch [9][50/7330] lr: 1.000e-04, eta: 1 day, 1:46:32, time: 2.553, data_time: 2.112, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0367, loss_cls: 0.1831, acc: 93.4885, loss_bbox: 0.2210, loss_mask: 0.2297, loss: 0.6992 +2022-09-22 04:10:22,888 - mmdet - INFO - Epoch [9][100/7330] lr: 1.000e-04, eta: 1 day, 1:46:06, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0363, loss_cls: 0.1860, acc: 93.3459, loss_bbox: 0.2309, loss_mask: 0.2327, loss: 0.7146 +2022-09-22 04:10:44,748 - mmdet - INFO - Epoch [9][150/7330] lr: 1.000e-04, eta: 1 day, 1:45:41, time: 0.437, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0340, loss_cls: 0.1782, acc: 93.6433, loss_bbox: 0.2183, loss_mask: 0.2254, loss: 0.6826 +2022-09-22 04:11:06,864 - mmdet - INFO - Epoch [9][200/7330] lr: 1.000e-04, eta: 1 day, 1:45:16, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0347, loss_cls: 0.1841, acc: 93.3831, loss_bbox: 0.2272, loss_mask: 0.2293, loss: 0.7018 +2022-09-22 04:11:28,996 - mmdet - INFO - Epoch [9][250/7330] lr: 1.000e-04, eta: 1 day, 1:44:52, time: 0.442, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0338, loss_cls: 0.1864, acc: 93.4009, loss_bbox: 0.2255, loss_mask: 0.2348, loss: 0.7094 +2022-09-22 04:11:50,695 - mmdet - INFO - Epoch [9][300/7330] lr: 1.000e-04, eta: 1 day, 1:44:26, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0338, loss_cls: 0.1865, acc: 93.4377, loss_bbox: 0.2225, loss_mask: 0.2260, loss: 0.6971 +2022-09-22 04:12:12,553 - mmdet - INFO - Epoch [9][350/7330] lr: 1.000e-04, eta: 1 day, 1:44:01, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0323, loss_cls: 0.1890, acc: 93.4351, loss_bbox: 0.2213, loss_mask: 0.2296, loss: 0.6989 +2022-09-22 04:12:34,359 - mmdet - INFO - Epoch [9][400/7330] lr: 1.000e-04, eta: 1 day, 1:43:36, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0342, loss_cls: 0.1908, acc: 93.2363, loss_bbox: 0.2281, loss_mask: 0.2325, loss: 0.7134 +2022-09-22 04:12:56,142 - mmdet - INFO - Epoch [9][450/7330] lr: 1.000e-04, eta: 1 day, 1:43:10, time: 0.436, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0346, loss_cls: 0.1843, acc: 93.4893, loss_bbox: 0.2229, loss_mask: 0.2316, loss: 0.7008 +2022-09-22 04:13:17,778 - mmdet - INFO - Epoch [9][500/7330] lr: 1.000e-04, eta: 1 day, 1:42:44, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0340, loss_cls: 0.1813, acc: 93.5642, loss_bbox: 0.2231, loss_mask: 0.2254, loss: 0.6905 +2022-09-22 04:13:39,801 - mmdet - INFO - Epoch [9][550/7330] lr: 1.000e-04, eta: 1 day, 1:42:20, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0335, loss_cls: 0.1770, acc: 93.6692, loss_bbox: 0.2201, loss_mask: 0.2271, loss: 0.6812 +2022-09-22 04:14:01,391 - mmdet - INFO - Epoch [9][600/7330] lr: 1.000e-04, eta: 1 day, 1:41:54, time: 0.432, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0333, loss_cls: 0.1844, acc: 93.4412, loss_bbox: 0.2243, loss_mask: 0.2289, loss: 0.6970 +2022-09-22 04:14:23,103 - mmdet - INFO - Epoch [9][650/7330] lr: 1.000e-04, eta: 1 day, 1:41:28, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0321, loss_cls: 0.1808, acc: 93.6030, loss_bbox: 0.2225, loss_mask: 0.2263, loss: 0.6877 +2022-09-22 04:14:45,163 - mmdet - INFO - Epoch [9][700/7330] lr: 1.000e-04, eta: 1 day, 1:41:03, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0336, loss_cls: 0.1830, acc: 93.5686, loss_bbox: 0.2248, loss_mask: 0.2334, loss: 0.6995 +2022-09-22 04:15:06,628 - mmdet - INFO - Epoch [9][750/7330] lr: 1.000e-04, eta: 1 day, 1:40:37, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0343, loss_cls: 0.1843, acc: 93.3545, loss_bbox: 0.2265, loss_mask: 0.2337, loss: 0.7042 +2022-09-22 04:15:28,319 - mmdet - INFO - Epoch [9][800/7330] lr: 1.000e-04, eta: 1 day, 1:40:11, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0343, loss_cls: 0.1857, acc: 93.2971, loss_bbox: 0.2285, loss_mask: 0.2314, loss: 0.7058 +2022-09-22 04:15:49,812 - mmdet - INFO - Epoch [9][850/7330] lr: 1.000e-04, eta: 1 day, 1:39:45, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0344, loss_cls: 0.1782, acc: 93.5090, loss_bbox: 0.2194, loss_mask: 0.2276, loss: 0.6862 +2022-09-22 04:16:11,509 - mmdet - INFO - Epoch [9][900/7330] lr: 1.000e-04, eta: 1 day, 1:39:19, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0338, loss_cls: 0.1840, acc: 93.4775, loss_bbox: 0.2209, loss_mask: 0.2310, loss: 0.6978 +2022-09-22 04:16:33,548 - mmdet - INFO - Epoch [9][950/7330] lr: 1.000e-04, eta: 1 day, 1:38:54, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0377, loss_cls: 0.1994, acc: 92.8318, loss_bbox: 0.2427, loss_mask: 0.2349, loss: 0.7431 +2022-09-22 04:16:55,567 - mmdet - INFO - Epoch [9][1000/7330] lr: 1.000e-04, eta: 1 day, 1:38:30, time: 0.442, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0359, loss_cls: 0.1892, acc: 93.3286, loss_bbox: 0.2255, loss_mask: 0.2279, loss: 0.7047 +2022-09-22 04:17:17,347 - mmdet - INFO - Epoch [9][1050/7330] lr: 1.000e-04, eta: 1 day, 1:38:05, time: 0.436, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0375, loss_cls: 0.2159, acc: 93.0508, loss_bbox: 0.2287, loss_mask: 0.2340, loss: 0.7453 +2022-09-22 04:17:39,415 - mmdet - INFO - Epoch [9][1100/7330] lr: 1.000e-04, eta: 1 day, 1:37:40, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0555, loss_rpn_bbox: 0.0481, loss_cls: 0.2170, acc: 92.9238, loss_bbox: 0.2434, loss_mask: 0.2450, loss: 0.8090 +2022-09-22 04:18:01,449 - mmdet - INFO - Epoch [9][1150/7330] lr: 1.000e-04, eta: 1 day, 1:37:15, time: 0.440, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0365, loss_cls: 0.1889, acc: 93.4167, loss_bbox: 0.2363, loss_mask: 0.2388, loss: 0.7291 +2022-09-22 04:18:22,963 - mmdet - INFO - Epoch [9][1200/7330] lr: 1.000e-04, eta: 1 day, 1:36:49, time: 0.431, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0356, loss_cls: 0.1857, acc: 93.4036, loss_bbox: 0.2306, loss_mask: 0.2293, loss: 0.7092 +2022-09-22 04:18:44,273 - mmdet - INFO - Epoch [9][1250/7330] lr: 1.000e-04, eta: 1 day, 1:36:22, time: 0.426, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0350, loss_cls: 0.1921, acc: 93.1433, loss_bbox: 0.2369, loss_mask: 0.2379, loss: 0.7314 +2022-09-22 04:19:06,087 - mmdet - INFO - Epoch [9][1300/7330] lr: 1.000e-04, eta: 1 day, 1:35:57, time: 0.436, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0370, loss_cls: 0.1885, acc: 93.2402, loss_bbox: 0.2314, loss_mask: 0.2325, loss: 0.7179 +2022-09-22 04:19:27,840 - mmdet - INFO - Epoch [9][1350/7330] lr: 1.000e-04, eta: 1 day, 1:35:32, time: 0.435, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0368, loss_cls: 0.1913, acc: 93.1785, loss_bbox: 0.2368, loss_mask: 0.2364, loss: 0.7308 +2022-09-22 04:19:49,460 - mmdet - INFO - Epoch [9][1400/7330] lr: 1.000e-04, eta: 1 day, 1:35:06, time: 0.432, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0383, loss_cls: 0.1855, acc: 93.3462, loss_bbox: 0.2292, loss_mask: 0.2337, loss: 0.7169 +2022-09-22 04:20:11,153 - mmdet - INFO - Epoch [9][1450/7330] lr: 1.000e-04, eta: 1 day, 1:34:40, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0335, loss_cls: 0.1874, acc: 93.2312, loss_bbox: 0.2299, loss_mask: 0.2268, loss: 0.7022 +2022-09-22 04:20:32,934 - mmdet - INFO - Epoch [9][1500/7330] lr: 1.000e-04, eta: 1 day, 1:34:15, time: 0.436, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0373, loss_cls: 0.1776, acc: 93.7163, loss_bbox: 0.2229, loss_mask: 0.2314, loss: 0.6968 +2022-09-22 04:20:54,897 - mmdet - INFO - Epoch [9][1550/7330] lr: 1.000e-04, eta: 1 day, 1:33:50, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0388, loss_cls: 0.1897, acc: 93.2542, loss_bbox: 0.2314, loss_mask: 0.2343, loss: 0.7246 +2022-09-22 04:21:16,582 - mmdet - INFO - Epoch [9][1600/7330] lr: 1.000e-04, eta: 1 day, 1:33:24, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0359, loss_cls: 0.1908, acc: 93.3015, loss_bbox: 0.2282, loss_mask: 0.2330, loss: 0.7175 +2022-09-22 04:21:38,058 - mmdet - INFO - Epoch [9][1650/7330] lr: 1.000e-04, eta: 1 day, 1:32:58, time: 0.429, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0349, loss_cls: 0.1822, acc: 93.4319, loss_bbox: 0.2258, loss_mask: 0.2294, loss: 0.7009 +2022-09-22 04:21:59,765 - mmdet - INFO - Epoch [9][1700/7330] lr: 1.000e-04, eta: 1 day, 1:32:32, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0339, loss_cls: 0.1871, acc: 93.3250, loss_bbox: 0.2260, loss_mask: 0.2262, loss: 0.6993 +2022-09-22 04:22:21,192 - mmdet - INFO - Epoch [9][1750/7330] lr: 1.000e-04, eta: 1 day, 1:32:06, time: 0.428, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0354, loss_cls: 0.1878, acc: 93.3408, loss_bbox: 0.2289, loss_mask: 0.2315, loss: 0.7121 +2022-09-22 04:22:42,633 - mmdet - INFO - Epoch [9][1800/7330] lr: 1.000e-04, eta: 1 day, 1:31:40, time: 0.430, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0342, loss_cls: 0.1775, acc: 93.6604, loss_bbox: 0.2264, loss_mask: 0.2269, loss: 0.6911 +2022-09-22 04:23:05,034 - mmdet - INFO - Epoch [9][1850/7330] lr: 1.000e-04, eta: 1 day, 1:31:16, time: 0.448, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0334, loss_cls: 0.1859, acc: 93.4490, loss_bbox: 0.2200, loss_mask: 0.2324, loss: 0.6974 +2022-09-22 04:23:27,559 - mmdet - INFO - Epoch [9][1900/7330] lr: 1.000e-04, eta: 1 day, 1:30:54, time: 0.450, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0373, loss_cls: 0.1892, acc: 93.2798, loss_bbox: 0.2314, loss_mask: 0.2315, loss: 0.7196 +2022-09-22 04:23:49,619 - mmdet - INFO - Epoch [9][1950/7330] lr: 1.000e-04, eta: 1 day, 1:30:29, time: 0.441, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0342, loss_cls: 0.1817, acc: 93.4707, loss_bbox: 0.2200, loss_mask: 0.2263, loss: 0.6890 +2022-09-22 04:24:11,585 - mmdet - INFO - Epoch [9][2000/7330] lr: 1.000e-04, eta: 1 day, 1:30:04, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0334, loss_cls: 0.1823, acc: 93.4788, loss_bbox: 0.2219, loss_mask: 0.2296, loss: 0.6930 +2022-09-22 04:24:33,655 - mmdet - INFO - Epoch [9][2050/7330] lr: 1.000e-04, eta: 1 day, 1:29:40, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0358, loss_cls: 0.1881, acc: 93.3115, loss_bbox: 0.2288, loss_mask: 0.2309, loss: 0.7116 +2022-09-22 04:24:55,361 - mmdet - INFO - Epoch [9][2100/7330] lr: 1.000e-04, eta: 1 day, 1:29:15, time: 0.434, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0353, loss_cls: 0.1872, acc: 93.3064, loss_bbox: 0.2273, loss_mask: 0.2332, loss: 0.7124 +2022-09-22 04:25:17,275 - mmdet - INFO - Epoch [9][2150/7330] lr: 1.000e-04, eta: 1 day, 1:28:50, time: 0.438, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0359, loss_cls: 0.1885, acc: 93.2478, loss_bbox: 0.2356, loss_mask: 0.2317, loss: 0.7192 +2022-09-22 04:25:39,216 - mmdet - INFO - Epoch [9][2200/7330] lr: 1.000e-04, eta: 1 day, 1:28:25, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0326, loss_cls: 0.1854, acc: 93.2915, loss_bbox: 0.2269, loss_mask: 0.2326, loss: 0.7025 +2022-09-22 04:26:00,965 - mmdet - INFO - Epoch [9][2250/7330] lr: 1.000e-04, eta: 1 day, 1:28:00, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0331, loss_cls: 0.1867, acc: 93.4143, loss_bbox: 0.2231, loss_mask: 0.2363, loss: 0.7071 +2022-09-22 04:26:23,132 - mmdet - INFO - Epoch [9][2300/7330] lr: 1.000e-04, eta: 1 day, 1:27:36, time: 0.443, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0352, loss_cls: 0.1857, acc: 93.3760, loss_bbox: 0.2268, loss_mask: 0.2345, loss: 0.7102 +2022-09-22 04:26:44,694 - mmdet - INFO - Epoch [9][2350/7330] lr: 1.000e-04, eta: 1 day, 1:27:10, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0360, loss_cls: 0.1944, acc: 93.0625, loss_bbox: 0.2324, loss_mask: 0.2329, loss: 0.7257 +2022-09-22 04:27:06,329 - mmdet - INFO - Epoch [9][2400/7330] lr: 1.000e-04, eta: 1 day, 1:26:44, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0339, loss_cls: 0.1809, acc: 93.5510, loss_bbox: 0.2180, loss_mask: 0.2300, loss: 0.6902 +2022-09-22 04:27:28,013 - mmdet - INFO - Epoch [9][2450/7330] lr: 1.000e-04, eta: 1 day, 1:26:18, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0365, loss_cls: 0.1808, acc: 93.5750, loss_bbox: 0.2196, loss_mask: 0.2344, loss: 0.6996 +2022-09-22 04:27:49,651 - mmdet - INFO - Epoch [9][2500/7330] lr: 1.000e-04, eta: 1 day, 1:25:53, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0352, loss_cls: 0.1904, acc: 93.2109, loss_bbox: 0.2306, loss_mask: 0.2368, loss: 0.7192 +2022-09-22 04:28:11,019 - mmdet - INFO - Epoch [9][2550/7330] lr: 1.000e-04, eta: 1 day, 1:25:26, time: 0.427, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0317, loss_cls: 0.1788, acc: 93.6995, loss_bbox: 0.2166, loss_mask: 0.2268, loss: 0.6793 +2022-09-22 04:28:33,302 - mmdet - INFO - Epoch [9][2600/7330] lr: 1.000e-04, eta: 1 day, 1:25:03, time: 0.446, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0371, loss_cls: 0.1834, acc: 93.4600, loss_bbox: 0.2284, loss_mask: 0.2349, loss: 0.7121 +2022-09-22 04:28:54,633 - mmdet - INFO - Epoch [9][2650/7330] lr: 1.000e-04, eta: 1 day, 1:24:36, time: 0.427, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0323, loss_cls: 0.1778, acc: 93.7095, loss_bbox: 0.2183, loss_mask: 0.2273, loss: 0.6814 +2022-09-22 04:29:16,162 - mmdet - INFO - Epoch [9][2700/7330] lr: 1.000e-04, eta: 1 day, 1:24:10, time: 0.430, data_time: 0.013, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0347, loss_cls: 0.1794, acc: 93.7126, loss_bbox: 0.2207, loss_mask: 0.2324, loss: 0.6981 +2022-09-22 04:29:37,469 - mmdet - INFO - Epoch [9][2750/7330] lr: 1.000e-04, eta: 1 day, 1:23:43, time: 0.426, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0328, loss_cls: 0.1806, acc: 93.6296, loss_bbox: 0.2214, loss_mask: 0.2325, loss: 0.6918 +2022-09-22 04:29:59,223 - mmdet - INFO - Epoch [9][2800/7330] lr: 1.000e-04, eta: 1 day, 1:23:18, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0342, loss_cls: 0.1858, acc: 93.4333, loss_bbox: 0.2278, loss_mask: 0.2327, loss: 0.7056 +2022-09-22 04:30:20,794 - mmdet - INFO - Epoch [9][2850/7330] lr: 1.000e-04, eta: 1 day, 1:22:52, time: 0.431, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0326, loss_cls: 0.1801, acc: 93.6597, loss_bbox: 0.2172, loss_mask: 0.2268, loss: 0.6821 +2022-09-22 04:30:42,830 - mmdet - INFO - Epoch [9][2900/7330] lr: 1.000e-04, eta: 1 day, 1:22:28, time: 0.441, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0377, loss_cls: 0.1917, acc: 93.2373, loss_bbox: 0.2347, loss_mask: 0.2319, loss: 0.7245 +2022-09-22 04:31:04,341 - mmdet - INFO - Epoch [9][2950/7330] lr: 1.000e-04, eta: 1 day, 1:22:02, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0342, loss_cls: 0.1848, acc: 93.4893, loss_bbox: 0.2222, loss_mask: 0.2320, loss: 0.7003 +2022-09-22 04:31:26,262 - mmdet - INFO - Epoch [9][3000/7330] lr: 1.000e-04, eta: 1 day, 1:21:37, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0362, loss_cls: 0.1864, acc: 93.3086, loss_bbox: 0.2274, loss_mask: 0.2328, loss: 0.7088 +2022-09-22 04:31:48,397 - mmdet - INFO - Epoch [9][3050/7330] lr: 1.000e-04, eta: 1 day, 1:21:13, time: 0.443, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0323, loss_cls: 0.1769, acc: 93.7061, loss_bbox: 0.2156, loss_mask: 0.2262, loss: 0.6751 +2022-09-22 04:32:10,680 - mmdet - INFO - Epoch [9][3100/7330] lr: 1.000e-04, eta: 1 day, 1:20:49, time: 0.445, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0363, loss_cls: 0.1930, acc: 93.1833, loss_bbox: 0.2348, loss_mask: 0.2312, loss: 0.7227 +2022-09-22 04:32:32,503 - mmdet - INFO - Epoch [9][3150/7330] lr: 1.000e-04, eta: 1 day, 1:20:24, time: 0.437, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0344, loss_cls: 0.1885, acc: 93.3894, loss_bbox: 0.2296, loss_mask: 0.2375, loss: 0.7191 +2022-09-22 04:32:54,376 - mmdet - INFO - Epoch [9][3200/7330] lr: 1.000e-04, eta: 1 day, 1:20:00, time: 0.437, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0318, loss_cls: 0.1827, acc: 93.5811, loss_bbox: 0.2178, loss_mask: 0.2254, loss: 0.6828 +2022-09-22 04:33:16,058 - mmdet - INFO - Epoch [9][3250/7330] lr: 1.000e-04, eta: 1 day, 1:19:34, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0338, loss_cls: 0.1821, acc: 93.5527, loss_bbox: 0.2265, loss_mask: 0.2333, loss: 0.7035 +2022-09-22 04:33:37,712 - mmdet - INFO - Epoch [9][3300/7330] lr: 1.000e-04, eta: 1 day, 1:19:08, time: 0.433, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0335, loss_cls: 0.1850, acc: 93.4490, loss_bbox: 0.2222, loss_mask: 0.2287, loss: 0.6951 +2022-09-22 04:33:59,420 - mmdet - INFO - Epoch [9][3350/7330] lr: 1.000e-04, eta: 1 day, 1:18:43, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0330, loss_cls: 0.1835, acc: 93.6035, loss_bbox: 0.2211, loss_mask: 0.2321, loss: 0.6949 +2022-09-22 04:34:20,747 - mmdet - INFO - Epoch [9][3400/7330] lr: 1.000e-04, eta: 1 day, 1:18:16, time: 0.426, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0352, loss_cls: 0.1834, acc: 93.4463, loss_bbox: 0.2283, loss_mask: 0.2317, loss: 0.7073 +2022-09-22 04:34:42,956 - mmdet - INFO - Epoch [9][3450/7330] lr: 1.000e-04, eta: 1 day, 1:17:53, time: 0.445, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0358, loss_cls: 0.1870, acc: 93.4880, loss_bbox: 0.2191, loss_mask: 0.2268, loss: 0.6962 +2022-09-22 04:35:04,406 - mmdet - INFO - Epoch [9][3500/7330] lr: 1.000e-04, eta: 1 day, 1:17:27, time: 0.429, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0329, loss_cls: 0.1781, acc: 93.6653, loss_bbox: 0.2158, loss_mask: 0.2260, loss: 0.6775 +2022-09-22 04:35:25,938 - mmdet - INFO - Epoch [9][3550/7330] lr: 1.000e-04, eta: 1 day, 1:17:01, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0336, loss_cls: 0.1784, acc: 93.6765, loss_bbox: 0.2173, loss_mask: 0.2266, loss: 0.6825 +2022-09-22 04:35:47,994 - mmdet - INFO - Epoch [9][3600/7330] lr: 1.000e-04, eta: 1 day, 1:16:36, time: 0.441, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0334, loss_cls: 0.1797, acc: 93.6521, loss_bbox: 0.2175, loss_mask: 0.2282, loss: 0.6840 +2022-09-22 04:36:09,600 - mmdet - INFO - Epoch [9][3650/7330] lr: 1.000e-04, eta: 1 day, 1:16:11, time: 0.432, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0335, loss_cls: 0.1788, acc: 93.6396, loss_bbox: 0.2210, loss_mask: 0.2312, loss: 0.6908 +2022-09-22 04:36:31,255 - mmdet - INFO - Epoch [9][3700/7330] lr: 1.000e-04, eta: 1 day, 1:15:45, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0345, loss_cls: 0.1788, acc: 93.7214, loss_bbox: 0.2183, loss_mask: 0.2310, loss: 0.6895 +2022-09-22 04:36:52,882 - mmdet - INFO - Epoch [9][3750/7330] lr: 1.000e-04, eta: 1 day, 1:15:20, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0347, loss_cls: 0.1798, acc: 93.7205, loss_bbox: 0.2197, loss_mask: 0.2306, loss: 0.6925 +2022-09-22 04:37:14,442 - mmdet - INFO - Epoch [9][3800/7330] lr: 1.000e-04, eta: 1 day, 1:14:54, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0341, loss_cls: 0.1779, acc: 93.6699, loss_bbox: 0.2188, loss_mask: 0.2331, loss: 0.6894 +2022-09-22 04:37:36,279 - mmdet - INFO - Epoch [9][3850/7330] lr: 1.000e-04, eta: 1 day, 1:14:29, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0319, loss_cls: 0.1699, acc: 93.9048, loss_bbox: 0.2064, loss_mask: 0.2264, loss: 0.6611 +2022-09-22 04:37:57,989 - mmdet - INFO - Epoch [9][3900/7330] lr: 1.000e-04, eta: 1 day, 1:14:04, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0343, loss_cls: 0.1915, acc: 93.1160, loss_bbox: 0.2332, loss_mask: 0.2312, loss: 0.7185 +2022-09-22 04:38:19,519 - mmdet - INFO - Epoch [9][3950/7330] lr: 1.000e-04, eta: 1 day, 1:13:38, time: 0.431, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0354, loss_cls: 0.1788, acc: 93.5581, loss_bbox: 0.2245, loss_mask: 0.2317, loss: 0.6986 +2022-09-22 04:38:41,508 - mmdet - INFO - Epoch [9][4000/7330] lr: 1.000e-04, eta: 1 day, 1:13:13, time: 0.440, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0358, loss_cls: 0.1871, acc: 93.3987, loss_bbox: 0.2293, loss_mask: 0.2330, loss: 0.7139 +2022-09-22 04:39:03,089 - mmdet - INFO - Epoch [9][4050/7330] lr: 1.000e-04, eta: 1 day, 1:12:48, time: 0.431, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0342, loss_cls: 0.1776, acc: 94.0083, loss_bbox: 0.2051, loss_mask: 0.2242, loss: 0.6680 +2022-09-22 04:39:25,417 - mmdet - INFO - Epoch [9][4100/7330] lr: 1.000e-04, eta: 1 day, 1:12:24, time: 0.445, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0377, loss_cls: 0.1971, acc: 93.6133, loss_bbox: 0.2189, loss_mask: 0.2358, loss: 0.7226 +2022-09-22 04:39:47,083 - mmdet - INFO - Epoch [9][4150/7330] lr: 1.000e-04, eta: 1 day, 1:11:59, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0346, loss_cls: 0.1821, acc: 93.6357, loss_bbox: 0.2167, loss_mask: 0.2300, loss: 0.6907 +2022-09-22 04:40:09,146 - mmdet - INFO - Epoch [9][4200/7330] lr: 1.000e-04, eta: 1 day, 1:11:35, time: 0.442, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0338, loss_cls: 0.1858, acc: 93.4729, loss_bbox: 0.2271, loss_mask: 0.2256, loss: 0.6978 +2022-09-22 04:40:31,042 - mmdet - INFO - Epoch [9][4250/7330] lr: 1.000e-04, eta: 1 day, 1:11:10, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0346, loss_cls: 0.1763, acc: 93.8208, loss_bbox: 0.2151, loss_mask: 0.2312, loss: 0.6841 +2022-09-22 04:40:53,193 - mmdet - INFO - Epoch [9][4300/7330] lr: 1.000e-04, eta: 1 day, 1:10:46, time: 0.443, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0351, loss_cls: 0.1801, acc: 93.5327, loss_bbox: 0.2210, loss_mask: 0.2295, loss: 0.6922 +2022-09-22 04:41:15,172 - mmdet - INFO - Epoch [9][4350/7330] lr: 1.000e-04, eta: 1 day, 1:10:22, time: 0.439, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0323, loss_cls: 0.1736, acc: 93.8564, loss_bbox: 0.2156, loss_mask: 0.2303, loss: 0.6767 +2022-09-22 04:41:37,279 - mmdet - INFO - Epoch [9][4400/7330] lr: 1.000e-04, eta: 1 day, 1:09:58, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0356, loss_cls: 0.1844, acc: 93.3970, loss_bbox: 0.2254, loss_mask: 0.2321, loss: 0.7059 +2022-09-22 04:41:59,348 - mmdet - INFO - Epoch [9][4450/7330] lr: 1.000e-04, eta: 1 day, 1:09:34, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0353, loss_cls: 0.1896, acc: 93.2957, loss_bbox: 0.2272, loss_mask: 0.2342, loss: 0.7153 +2022-09-22 04:42:21,436 - mmdet - INFO - Epoch [9][4500/7330] lr: 1.000e-04, eta: 1 day, 1:09:10, time: 0.442, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0346, loss_cls: 0.1813, acc: 93.4844, loss_bbox: 0.2228, loss_mask: 0.2298, loss: 0.6978 +2022-09-22 04:42:43,152 - mmdet - INFO - Epoch [9][4550/7330] lr: 1.000e-04, eta: 1 day, 1:08:45, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0361, loss_cls: 0.1935, acc: 93.2500, loss_bbox: 0.2317, loss_mask: 0.2306, loss: 0.7215 +2022-09-22 04:43:05,209 - mmdet - INFO - Epoch [9][4600/7330] lr: 1.000e-04, eta: 1 day, 1:08:20, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0347, loss_cls: 0.1770, acc: 93.5862, loss_bbox: 0.2157, loss_mask: 0.2272, loss: 0.6806 +2022-09-22 04:43:27,270 - mmdet - INFO - Epoch [9][4650/7330] lr: 1.000e-04, eta: 1 day, 1:07:56, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0333, loss_cls: 0.1787, acc: 93.7910, loss_bbox: 0.2132, loss_mask: 0.2253, loss: 0.6767 +2022-09-22 04:43:48,974 - mmdet - INFO - Epoch [9][4700/7330] lr: 1.000e-04, eta: 1 day, 1:07:31, time: 0.434, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0369, loss_cls: 0.1950, acc: 93.1167, loss_bbox: 0.2334, loss_mask: 0.2380, loss: 0.7317 +2022-09-22 04:44:11,004 - mmdet - INFO - Epoch [9][4750/7330] lr: 1.000e-04, eta: 1 day, 1:07:07, time: 0.441, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0332, loss_cls: 0.1731, acc: 93.8311, loss_bbox: 0.2156, loss_mask: 0.2248, loss: 0.6719 +2022-09-22 04:44:32,864 - mmdet - INFO - Epoch [9][4800/7330] lr: 1.000e-04, eta: 1 day, 1:06:42, time: 0.437, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0354, loss_cls: 0.1837, acc: 93.3828, loss_bbox: 0.2279, loss_mask: 0.2281, loss: 0.7023 +2022-09-22 04:44:54,492 - mmdet - INFO - Epoch [9][4850/7330] lr: 1.000e-04, eta: 1 day, 1:06:17, time: 0.433, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0347, loss_cls: 0.1849, acc: 93.4917, loss_bbox: 0.2237, loss_mask: 0.2280, loss: 0.6997 +2022-09-22 04:45:15,858 - mmdet - INFO - Epoch [9][4900/7330] lr: 1.000e-04, eta: 1 day, 1:05:50, time: 0.427, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0334, loss_cls: 0.1767, acc: 93.8025, loss_bbox: 0.2150, loss_mask: 0.2292, loss: 0.6807 +2022-09-22 04:45:37,818 - mmdet - INFO - Epoch [9][4950/7330] lr: 1.000e-04, eta: 1 day, 1:05:26, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0340, loss_cls: 0.1889, acc: 93.3120, loss_bbox: 0.2279, loss_mask: 0.2323, loss: 0.7129 +2022-09-22 04:45:59,957 - mmdet - INFO - Epoch [9][5000/7330] lr: 1.000e-04, eta: 1 day, 1:05:02, time: 0.443, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0355, loss_cls: 0.1824, acc: 93.3179, loss_bbox: 0.2274, loss_mask: 0.2287, loss: 0.7000 +2022-09-22 04:46:21,692 - mmdet - INFO - Epoch [9][5050/7330] lr: 1.000e-04, eta: 1 day, 1:04:37, time: 0.435, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0360, loss_cls: 0.1795, acc: 93.6174, loss_bbox: 0.2153, loss_mask: 0.2284, loss: 0.6867 +2022-09-22 04:46:43,618 - mmdet - INFO - Epoch [9][5100/7330] lr: 1.000e-04, eta: 1 day, 1:04:13, time: 0.439, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0336, loss_cls: 0.1797, acc: 93.5938, loss_bbox: 0.2215, loss_mask: 0.2339, loss: 0.6961 +2022-09-22 04:47:05,367 - mmdet - INFO - Epoch [9][5150/7330] lr: 1.000e-04, eta: 1 day, 1:03:48, time: 0.435, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0345, loss_cls: 0.1824, acc: 93.5081, loss_bbox: 0.2220, loss_mask: 0.2285, loss: 0.6937 +2022-09-22 04:47:27,554 - mmdet - INFO - Epoch [9][5200/7330] lr: 1.000e-04, eta: 1 day, 1:03:24, time: 0.444, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0331, loss_cls: 0.1787, acc: 93.7112, loss_bbox: 0.2170, loss_mask: 0.2227, loss: 0.6780 +2022-09-22 04:47:49,646 - mmdet - INFO - Epoch [9][5250/7330] lr: 1.000e-04, eta: 1 day, 1:03:00, time: 0.442, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0337, loss_cls: 0.1785, acc: 93.6890, loss_bbox: 0.2147, loss_mask: 0.2321, loss: 0.6870 +2022-09-22 04:48:12,153 - mmdet - INFO - Epoch [9][5300/7330] lr: 1.000e-04, eta: 1 day, 1:02:37, time: 0.450, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0378, loss_cls: 0.1798, acc: 93.4578, loss_bbox: 0.2239, loss_mask: 0.2294, loss: 0.7003 +2022-09-22 04:48:34,570 - mmdet - INFO - Epoch [9][5350/7330] lr: 1.000e-04, eta: 1 day, 1:02:14, time: 0.448, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0353, loss_cls: 0.1805, acc: 93.5056, loss_bbox: 0.2188, loss_mask: 0.2323, loss: 0.6930 +2022-09-22 04:48:55,925 - mmdet - INFO - Epoch [9][5400/7330] lr: 1.000e-04, eta: 1 day, 1:01:48, time: 0.427, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0341, loss_cls: 0.1716, acc: 93.8970, loss_bbox: 0.2105, loss_mask: 0.2193, loss: 0.6613 +2022-09-22 04:49:18,394 - mmdet - INFO - Epoch [9][5450/7330] lr: 1.000e-04, eta: 1 day, 1:01:25, time: 0.450, data_time: 0.021, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0347, loss_cls: 0.1742, acc: 93.7937, loss_bbox: 0.2132, loss_mask: 0.2184, loss: 0.6696 +2022-09-22 04:49:40,816 - mmdet - INFO - Epoch [9][5500/7330] lr: 1.000e-04, eta: 1 day, 1:01:02, time: 0.448, data_time: 0.020, memory: 30699, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0344, loss_cls: 0.1842, acc: 93.5071, loss_bbox: 0.2213, loss_mask: 0.2277, loss: 0.6947 +2022-09-22 04:50:02,743 - mmdet - INFO - Epoch [9][5550/7330] lr: 1.000e-04, eta: 1 day, 1:00:38, time: 0.438, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0364, loss_cls: 0.1825, acc: 93.6506, loss_bbox: 0.2214, loss_mask: 0.2288, loss: 0.7001 +2022-09-22 04:50:24,602 - mmdet - INFO - Epoch [9][5600/7330] lr: 1.000e-04, eta: 1 day, 1:00:13, time: 0.438, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0374, loss_cls: 0.1855, acc: 93.5046, loss_bbox: 0.2244, loss_mask: 0.2308, loss: 0.7086 +2022-09-22 04:50:47,029 - mmdet - INFO - Epoch [9][5650/7330] lr: 1.000e-04, eta: 1 day, 0:59:50, time: 0.449, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0344, loss_cls: 0.1801, acc: 93.6396, loss_bbox: 0.2178, loss_mask: 0.2293, loss: 0.6880 +2022-09-22 04:51:08,442 - mmdet - INFO - Epoch [9][5700/7330] lr: 1.000e-04, eta: 1 day, 0:59:24, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0332, loss_cls: 0.1756, acc: 93.7690, loss_bbox: 0.2139, loss_mask: 0.2287, loss: 0.6797 +2022-09-22 04:51:30,037 - mmdet - INFO - Epoch [9][5750/7330] lr: 1.000e-04, eta: 1 day, 0:58:59, time: 0.432, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0341, loss_cls: 0.1833, acc: 93.4060, loss_bbox: 0.2216, loss_mask: 0.2273, loss: 0.6916 +2022-09-22 04:51:51,722 - mmdet - INFO - Epoch [9][5800/7330] lr: 1.000e-04, eta: 1 day, 0:58:33, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0332, loss_cls: 0.1776, acc: 93.7607, loss_bbox: 0.2174, loss_mask: 0.2231, loss: 0.6770 +2022-09-22 04:52:13,458 - mmdet - INFO - Epoch [9][5850/7330] lr: 1.000e-04, eta: 1 day, 0:58:08, time: 0.435, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0321, loss_cls: 0.1815, acc: 93.4946, loss_bbox: 0.2194, loss_mask: 0.2285, loss: 0.6877 +2022-09-22 04:52:35,167 - mmdet - INFO - Epoch [9][5900/7330] lr: 1.000e-04, eta: 1 day, 0:57:43, time: 0.434, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0375, loss_cls: 0.1918, acc: 93.1472, loss_bbox: 0.2356, loss_mask: 0.2367, loss: 0.7315 +2022-09-22 04:52:57,378 - mmdet - INFO - Epoch [9][5950/7330] lr: 1.000e-04, eta: 1 day, 0:57:20, time: 0.444, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0351, loss_cls: 0.1820, acc: 93.5842, loss_bbox: 0.2179, loss_mask: 0.2332, loss: 0.6958 +2022-09-22 04:53:19,267 - mmdet - INFO - Epoch [9][6000/7330] lr: 1.000e-04, eta: 1 day, 0:56:55, time: 0.438, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0344, loss_cls: 0.1832, acc: 93.4265, loss_bbox: 0.2249, loss_mask: 0.2297, loss: 0.6996 +2022-09-22 04:53:40,920 - mmdet - INFO - Epoch [9][6050/7330] lr: 1.000e-04, eta: 1 day, 0:56:30, time: 0.433, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0344, loss_cls: 0.1796, acc: 93.6235, loss_bbox: 0.2257, loss_mask: 0.2323, loss: 0.6996 +2022-09-22 04:54:02,850 - mmdet - INFO - Epoch [9][6100/7330] lr: 1.000e-04, eta: 1 day, 0:56:05, time: 0.438, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0348, loss_cls: 0.1839, acc: 93.4104, loss_bbox: 0.2253, loss_mask: 0.2300, loss: 0.7032 +2022-09-22 04:54:24,517 - mmdet - INFO - Epoch [9][6150/7330] lr: 1.000e-04, eta: 1 day, 0:55:40, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0338, loss_cls: 0.1818, acc: 93.5420, loss_bbox: 0.2211, loss_mask: 0.2326, loss: 0.6973 +2022-09-22 04:54:46,033 - mmdet - INFO - Epoch [9][6200/7330] lr: 1.000e-04, eta: 1 day, 0:55:15, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0330, loss_cls: 0.1813, acc: 93.5542, loss_bbox: 0.2182, loss_mask: 0.2278, loss: 0.6833 +2022-09-22 04:55:07,305 - mmdet - INFO - Epoch [9][6250/7330] lr: 1.000e-04, eta: 1 day, 0:54:48, time: 0.425, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0333, loss_cls: 0.1861, acc: 93.4199, loss_bbox: 0.2206, loss_mask: 0.2320, loss: 0.6987 +2022-09-22 04:55:29,032 - mmdet - INFO - Epoch [9][6300/7330] lr: 1.000e-04, eta: 1 day, 0:54:23, time: 0.434, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0348, loss_cls: 0.1783, acc: 93.6633, loss_bbox: 0.2211, loss_mask: 0.2293, loss: 0.6916 +2022-09-22 04:55:50,976 - mmdet - INFO - Epoch [9][6350/7330] lr: 1.000e-04, eta: 1 day, 0:53:59, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0346, loss_cls: 0.1887, acc: 93.2805, loss_bbox: 0.2303, loss_mask: 0.2359, loss: 0.7195 +2022-09-22 04:56:13,022 - mmdet - INFO - Epoch [9][6400/7330] lr: 1.000e-04, eta: 1 day, 0:53:35, time: 0.441, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0360, loss_cls: 0.1918, acc: 93.3560, loss_bbox: 0.2255, loss_mask: 0.2309, loss: 0.7117 +2022-09-22 04:56:34,559 - mmdet - INFO - Epoch [9][6450/7330] lr: 1.000e-04, eta: 1 day, 0:53:09, time: 0.431, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0330, loss_cls: 0.1860, acc: 93.3386, loss_bbox: 0.2268, loss_mask: 0.2312, loss: 0.7026 +2022-09-22 04:56:56,544 - mmdet - INFO - Epoch [9][6500/7330] lr: 1.000e-04, eta: 1 day, 0:52:45, time: 0.440, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0337, loss_cls: 0.1773, acc: 93.6785, loss_bbox: 0.2166, loss_mask: 0.2292, loss: 0.6830 +2022-09-22 04:57:18,678 - mmdet - INFO - Epoch [9][6550/7330] lr: 1.000e-04, eta: 1 day, 0:52:21, time: 0.443, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0334, loss_cls: 0.1712, acc: 93.7761, loss_bbox: 0.2130, loss_mask: 0.2244, loss: 0.6676 +2022-09-22 04:57:40,078 - mmdet - INFO - Epoch [9][6600/7330] lr: 1.000e-04, eta: 1 day, 0:51:55, time: 0.428, data_time: 0.014, memory: 30699, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0332, loss_cls: 0.1740, acc: 93.7886, loss_bbox: 0.2137, loss_mask: 0.2301, loss: 0.6794 +2022-09-22 04:58:02,033 - mmdet - INFO - Epoch [9][6650/7330] lr: 1.000e-04, eta: 1 day, 0:51:31, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0331, loss_cls: 0.1813, acc: 93.6406, loss_bbox: 0.2137, loss_mask: 0.2282, loss: 0.6823 +2022-09-22 04:58:23,468 - mmdet - INFO - Epoch [9][6700/7330] lr: 1.000e-04, eta: 1 day, 0:51:05, time: 0.429, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0324, loss_cls: 0.1807, acc: 93.5625, loss_bbox: 0.2210, loss_mask: 0.2311, loss: 0.6918 +2022-09-22 04:58:45,560 - mmdet - INFO - Epoch [9][6750/7330] lr: 1.000e-04, eta: 1 day, 0:50:41, time: 0.442, data_time: 0.019, memory: 30699, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0345, loss_cls: 0.1912, acc: 93.2703, loss_bbox: 0.2298, loss_mask: 0.2254, loss: 0.7061 +2022-09-22 04:59:07,486 - mmdet - INFO - Epoch [9][6800/7330] lr: 1.000e-04, eta: 1 day, 0:50:17, time: 0.439, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0335, loss_cls: 0.1816, acc: 93.5178, loss_bbox: 0.2278, loss_mask: 0.2353, loss: 0.7032 +2022-09-22 04:59:29,122 - mmdet - INFO - Epoch [9][6850/7330] lr: 1.000e-04, eta: 1 day, 0:49:52, time: 0.433, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0349, loss_cls: 0.1920, acc: 93.4478, loss_bbox: 0.2290, loss_mask: 0.2355, loss: 0.7182 +2022-09-22 04:59:50,759 - mmdet - INFO - Epoch [9][6900/7330] lr: 1.000e-04, eta: 1 day, 0:49:26, time: 0.433, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0351, loss_cls: 0.1904, acc: 93.3000, loss_bbox: 0.2252, loss_mask: 0.2327, loss: 0.7121 +2022-09-22 05:00:13,031 - mmdet - INFO - Epoch [9][6950/7330] lr: 1.000e-04, eta: 1 day, 0:49:03, time: 0.445, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0353, loss_cls: 0.1780, acc: 93.6541, loss_bbox: 0.2187, loss_mask: 0.2275, loss: 0.6859 +2022-09-22 05:00:34,765 - mmdet - INFO - Epoch [9][7000/7330] lr: 1.000e-04, eta: 1 day, 0:48:38, time: 0.435, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0355, loss_cls: 0.1829, acc: 93.4434, loss_bbox: 0.2217, loss_mask: 0.2360, loss: 0.7050 +2022-09-22 05:00:56,254 - mmdet - INFO - Epoch [9][7050/7330] lr: 1.000e-04, eta: 1 day, 0:48:13, time: 0.430, data_time: 0.016, memory: 30699, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0366, loss_cls: 0.1968, acc: 93.0808, loss_bbox: 0.2307, loss_mask: 0.2362, loss: 0.7286 +2022-09-22 05:01:18,085 - mmdet - INFO - Epoch [9][7100/7330] lr: 1.000e-04, eta: 1 day, 0:47:48, time: 0.437, data_time: 0.018, memory: 30699, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0347, loss_cls: 0.1791, acc: 93.6169, loss_bbox: 0.2231, loss_mask: 0.2309, loss: 0.6926 +2022-09-22 05:01:39,778 - mmdet - INFO - Epoch [9][7150/7330] lr: 1.000e-04, eta: 1 day, 0:47:23, time: 0.434, data_time: 0.017, memory: 30699, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0343, loss_cls: 0.1817, acc: 93.6152, loss_bbox: 0.2211, loss_mask: 0.2305, loss: 0.6954 +2022-09-22 05:02:01,188 - mmdet - INFO - Epoch [9][7200/7330] lr: 1.000e-04, eta: 1 day, 0:46:57, time: 0.428, data_time: 0.015, memory: 30699, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0327, loss_cls: 0.1803, acc: 93.6392, loss_bbox: 0.2215, loss_mask: 0.2349, loss: 0.6961 +2022-09-22 09:20:19,196 - mmdet - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/lustre/share/cuda-11.1 +NVCC: Build cuda_11.1.TC455_06.29069683_0 +GCC: gcc (GCC) 7.3.0 +PyTorch: 1.9.0+cu111 +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 v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-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 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, 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 -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=1.9.0, 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: 0.10.0+cu111 +OpenCV: 4.6.0 +MMCV: 1.4.2 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.1 +MMDetection: 2.22.0+abdbbac +------------------------------------------------------------ + +2022-09-22 09:20:22,147 - mmdet - INFO - Distributed training: True +2022-09-22 09:20:24,946 - mmdet - INFO - Config: +model = dict( + type='MaskRCNN', + backbone=dict( + type='UniPerceiverNewAdapter', + patch_size=16, + embed_dim=768, + depth=12, + num_heads=12, + mlp_ratio=4, + drop_path_rate=0.2, + conv_inplane=64, + n_points=4, + deform_num_heads=12, + cffn_ratio=0.25, + deform_ratio=0.5, + interaction_indexes=[[0, 2], [3, 5], [6, 8], [9, 11]], + window_attn=[ + True, True, False, True, True, False, True, True, False, True, + True, False + ], + window_size=[14, 14, None, 14, 14, None, 14, 14, None, 14, 14, None], + pretrained= + 'pretrained/uni-perceiver-base-L12-H768-224size-torch-pretrained_converted.pth' + ), + neck=dict( + type='FPN', + in_channels=[768, 768, 768, 768], + 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='StandardRoIHead', + 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='Shared2FCBBoxHead', + in_channels=256, + fc_out_channels=1024, + roi_feat_size=7, + num_classes=80, + bbox_coder=dict( + type='DeltaXYWHBBoxCoder', + target_means=[0.0, 0.0, 0.0, 0.0], + target_stds=[0.1, 0.1, 0.2, 0.2]), + reg_class_agnostic=False, + loss_cls=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0), + loss_bbox=dict(type='L1Loss', loss_weight=1.0)), + mask_roi_extractor=dict( + type='SingleRoIExtractor', + roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0), + out_channels=256, + featmap_strides=[4, 8, 16, 32]), + mask_head=dict( + type='FCNMaskHead', + num_convs=4, + in_channels=256, + conv_out_channels=256, + num_classes=80, + loss_mask=dict( + type='CrossEntropyLoss', use_mask=True, loss_weight=1.0))), + 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=256, + pos_fraction=0.5, + 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), + sampler=dict( + type='RandomSampler', + num=512, + pos_fraction=0.25, + neg_pos_ub=-1, + 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))) +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, with_mask=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='RandomCrop', + crop_type='absolute_range', + crop_size=(1024, 1024), + allow_negative_crop=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=32), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) +] +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='data/coco/annotations/instances_train2017.json', + img_prefix='data/coco/train2017/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=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='RandomCrop', + crop_type='absolute_range', + crop_size=(1024, 1024), + allow_negative_crop=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=32), + dict(type='DefaultFormatBundle'), + dict( + type='Collect', + keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks']) + ]), + 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(metric=['bbox', 'segm']) +optimizer = dict( + type='AdamW', + lr=0.0001, + weight_decay=0.05, + constructor='LayerDecayOptimizerConstructorUniPerceiver', + paramwise_cfg=dict(num_layers=12, layer_decay_rate=0.65)) +optimizer_config = dict(grad_clip=None) +lr_config = dict( + policy='step', + warmup='linear', + warmup_iters=500, + warmup_ratio=0.001, + step=[27, 33]) +runner = dict(type='EpochBasedRunner', max_epochs=36) +checkpoint_config = dict(interval=1, max_keep_ckpts=3, save_last=True) +log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) +custom_hooks = [dict(type='NumClassCheckHook')] +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +pretrained = 'pretrained/uni-perceiver-base-L12-H768-224size-torch-pretrained_converted.pth' +work_dir = './work_dirs/mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco' +auto_resume = True +gpu_ids = range(0, 8) + +2022-09-22 09:20:34,165 - mmdet - INFO - Set random seed to 1665745394, deterministic: False +2022-09-22 09:20:34,673 - mmdet - INFO - load checkpoint from local path: pretrained/uni-perceiver-base-L12-H768-224size-torch-pretrained_converted.pth +2022-09-22 09:20:35,770 - mmdet - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: visual_embed.embeddings_type.weight + +2022-09-22 09:20:36,279 - mmdet - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} +2022-09-22 09:20:36,297 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} +2022-09-22 09:20:36,300 - mmdet - INFO - initialize Shared2FCBBoxHead 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 + +backbone.level_embed - torch.Size([3, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.4.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.5.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.6.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.7.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.8.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.9.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.10.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.gamma_1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.gamma_2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.in_proj.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.in_proj.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.out_proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.self_attn.out_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.linear2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.11.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.embeddings_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.embeddings_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.spatial_pos_embed.weight - torch.Size([196, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.temporal_pos_embed.weight - torch.Size([8, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.proj.weight - torch.Size([768, 3, 16, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.visual_embed.patch_embed.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.1.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.1.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.4.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.4.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.7.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.stem.7.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv2.1.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv2.1.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv3.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv3.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv4.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.conv4.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc1.weight - torch.Size([768, 64, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc2.weight - torch.Size([768, 128, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc3.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc4.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.spm.fc4.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.up.weight - torch.Size([768, 768, 2, 2]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.up.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm3.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm4.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.norm4.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.0.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.1.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.2.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.3.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_conv.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_cls.bias - torch.Size([3]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_reg.bias - torch.Size([12]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_cls.weight - torch.Size([81, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_cls.bias - torch.Size([81]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_reg.weight - torch.Size([320, 1024]): +NormalInit: mean=0, std=0.001, bias=0 + +roi_head.bbox_head.fc_reg.bias - torch.Size([320]): +NormalInit: mean=0, std=0.001, bias=0 + +roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.1.weight - torch.Size([1024, 1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.1.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.mask_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.upsample.weight - torch.Size([256, 256, 2, 2]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.upsample.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.conv_logits.weight - torch.Size([80, 256, 1, 1]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.conv_logits.bias - torch.Size([80]): +Initialized by user-defined `init_weights` in FCNMaskHead +2022-09-22 09:20:54,838 - mmdet - INFO - load checkpoint from local path: ./work_dirs/mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco/latest.pth +2022-09-22 09:20:58,366 - mmdet - INFO - resumed epoch 8, iter 58640 +2022-09-22 09:20:58,368 - mmdet - INFO - Start running, host: chenzhe1@SH-IDC1-10-140-1-139, work_dir: /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco +2022-09-22 09:20:58,368 - mmdet - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) StepLrUpdaterHook +(NORMAL ) NumClassCheckHook +(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 +(LOW ) IterTimerHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(LOW ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) NumClassCheckHook +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2022-09-22 09:20:58,368 - mmdet - INFO - workflow: [('train', 1)], max: 36 epochs +2022-09-22 09:20:58,368 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/detection/work_dirs/mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco by HardDiskBackend. +2022-09-22 09:22:22,639 - mmdet - INFO - Epoch [9][50/7330] lr: 1.000e-04, eta: 4 days, 0:03:04, time: 1.685, data_time: 1.227, memory: 30676, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0334, loss_cls: 0.1729, acc: 93.8350, loss_bbox: 0.2170, loss_mask: 0.2279, loss: 0.6761 +2022-09-22 09:22:45,376 - mmdet - INFO - Epoch [9][100/7330] lr: 1.000e-04, eta: 2 days, 12:57:42, time: 0.454, data_time: 0.020, memory: 30676, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0354, loss_cls: 0.1827, acc: 93.4902, loss_bbox: 0.2213, loss_mask: 0.2332, loss: 0.7010 +2022-09-22 09:23:07,771 - mmdet - INFO - Epoch [9][150/7330] lr: 1.000e-04, eta: 2 days, 1:08:32, time: 0.448, data_time: 0.016, memory: 30676, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0352, loss_cls: 0.1886, acc: 93.3718, loss_bbox: 0.2274, loss_mask: 0.2306, loss: 0.7087 +2022-09-22 09:23:30,382 - mmdet - INFO - Epoch [9][200/7330] lr: 1.000e-04, eta: 1 day, 19:17:10, time: 0.452, data_time: 0.017, memory: 30685, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0346, loss_cls: 0.1900, acc: 93.3296, loss_bbox: 0.2322, loss_mask: 0.2334, loss: 0.7182 +2022-09-22 09:23:53,523 - mmdet - INFO - Epoch [9][250/7330] lr: 1.000e-04, eta: 1 day, 15:53:29, time: 0.463, data_time: 0.019, memory: 30685, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0333, loss_cls: 0.1723, acc: 93.7559, loss_bbox: 0.2148, loss_mask: 0.2280, loss: 0.6759 +2022-09-22 09:24:15,683 - mmdet - INFO - Epoch [9][300/7330] lr: 1.000e-04, eta: 1 day, 13:26:22, time: 0.443, data_time: 0.016, memory: 30685, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0357, loss_cls: 0.1907, acc: 93.2356, loss_bbox: 0.2306, loss_mask: 0.2406, loss: 0.7267 +2022-09-22 09:24:37,873 - mmdet - INFO - Epoch [9][350/7330] lr: 1.000e-04, eta: 1 day, 11:41:26, time: 0.444, data_time: 0.019, memory: 30685, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0342, loss_cls: 0.1854, acc: 93.3855, loss_bbox: 0.2250, loss_mask: 0.2286, loss: 0.7005 +2022-09-22 09:25:01,086 - mmdet - INFO - Epoch [9][400/7330] lr: 1.000e-04, eta: 1 day, 10:31:28, time: 0.464, data_time: 0.017, memory: 30688, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0342, loss_cls: 0.1826, acc: 93.3887, loss_bbox: 0.2276, loss_mask: 0.2296, loss: 0.6995 +2022-09-22 09:25:22,747 - mmdet - INFO - Epoch [9][450/7330] lr: 1.000e-04, eta: 1 day, 9:25:09, time: 0.433, data_time: 0.018, memory: 30688, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0353, loss_cls: 0.1810, acc: 93.6841, loss_bbox: 0.2193, loss_mask: 0.2312, loss: 0.6944 +2022-09-22 09:25:44,387 - mmdet - INFO - Epoch [9][500/7330] lr: 1.000e-04, eta: 1 day, 8:31:52, time: 0.433, data_time: 0.015, memory: 30688, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0336, loss_cls: 0.1903, acc: 93.2124, loss_bbox: 0.2322, loss_mask: 0.2364, loss: 0.7173 +2022-09-22 09:26:06,234 - mmdet - INFO - Epoch [9][550/7330] lr: 1.000e-04, eta: 1 day, 7:49:30, time: 0.437, data_time: 0.017, memory: 30688, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0347, loss_cls: 0.1871, acc: 93.3303, loss_bbox: 0.2288, loss_mask: 0.2304, loss: 0.7080 +2022-09-22 09:26:28,115 - mmdet - INFO - Epoch [9][600/7330] lr: 1.000e-04, eta: 1 day, 7:14:20, time: 0.438, data_time: 0.017, memory: 30688, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0339, loss_cls: 0.1761, acc: 93.6189, loss_bbox: 0.2210, loss_mask: 0.2298, loss: 0.6881 +2022-09-22 09:26:50,236 - mmdet - INFO - Epoch [9][650/7330] lr: 1.000e-04, eta: 1 day, 6:45:28, time: 0.441, data_time: 0.013, memory: 30688, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0358, loss_cls: 0.1939, acc: 93.1658, loss_bbox: 0.2328, loss_mask: 0.2332, loss: 0.7238 +2022-09-22 09:27:12,384 - mmdet - INFO - Epoch [9][700/7330] lr: 1.000e-04, eta: 1 day, 6:21:22, time: 0.444, data_time: 0.019, memory: 30688, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0338, loss_cls: 0.1752, acc: 93.6858, loss_bbox: 0.2220, loss_mask: 0.2284, loss: 0.6844 +2022-09-22 09:27:34,615 - mmdet - INFO - Epoch [9][750/7330] lr: 1.000e-04, eta: 1 day, 6:00:21, time: 0.444, data_time: 0.020, memory: 30692, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0323, loss_cls: 0.1825, acc: 93.4834, loss_bbox: 0.2189, loss_mask: 0.2280, loss: 0.6862 +2022-09-22 09:27:56,094 - mmdet - INFO - Epoch [9][800/7330] lr: 1.000e-04, eta: 1 day, 5:39:05, time: 0.430, data_time: 0.018, memory: 30692, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0336, loss_cls: 0.1849, acc: 93.4309, loss_bbox: 0.2215, loss_mask: 0.2260, loss: 0.6914 +2022-09-22 09:28:17,789 - mmdet - INFO - Epoch [9][850/7330] lr: 1.000e-04, eta: 1 day, 5:20:53, time: 0.433, data_time: 0.022, memory: 30692, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0341, loss_cls: 0.1793, acc: 93.6069, loss_bbox: 0.2199, loss_mask: 0.2302, loss: 0.6906 +2022-09-22 09:28:39,889 - mmdet - INFO - Epoch [9][900/7330] lr: 1.000e-04, eta: 1 day, 5:06:21, time: 0.442, data_time: 0.019, memory: 30692, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0352, loss_cls: 0.1800, acc: 93.6382, loss_bbox: 0.2210, loss_mask: 0.2318, loss: 0.6945 +2022-09-22 09:29:02,292 - mmdet - INFO - Epoch [9][950/7330] lr: 1.000e-04, eta: 1 day, 4:54:19, time: 0.448, data_time: 0.020, memory: 30692, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0372, loss_cls: 0.1937, acc: 93.1245, loss_bbox: 0.2349, loss_mask: 0.2358, loss: 0.7330 +2022-09-22 09:29:23,808 - mmdet - INFO - Epoch [9][1000/7330] lr: 1.000e-04, eta: 1 day, 4:40:26, time: 0.430, data_time: 0.018, memory: 30692, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0336, loss_cls: 0.1759, acc: 93.7375, loss_bbox: 0.2164, loss_mask: 0.2310, loss: 0.6815 +2022-09-22 09:29:45,578 - mmdet - INFO - Epoch [9][1050/7330] lr: 1.000e-04, eta: 1 day, 4:28:37, time: 0.435, data_time: 0.018, memory: 30692, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0356, loss_cls: 0.1895, acc: 93.2302, loss_bbox: 0.2332, loss_mask: 0.2340, loss: 0.7182 +2022-09-22 09:30:07,893 - mmdet - INFO - Epoch [9][1100/7330] lr: 1.000e-04, eta: 1 day, 4:19:38, time: 0.447, data_time: 0.017, memory: 30692, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0346, loss_cls: 0.1824, acc: 93.5820, loss_bbox: 0.2216, loss_mask: 0.2299, loss: 0.6949 +2022-09-22 09:30:29,776 - mmdet - INFO - Epoch [9][1150/7330] lr: 1.000e-04, eta: 1 day, 4:10:02, time: 0.438, data_time: 0.016, memory: 30692, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0344, loss_cls: 0.1825, acc: 93.4839, loss_bbox: 0.2268, loss_mask: 0.2278, loss: 0.6981 +2022-09-22 09:30:51,566 - mmdet - INFO - Epoch [9][1200/7330] lr: 1.000e-04, eta: 1 day, 4:00:59, time: 0.436, data_time: 0.014, memory: 30692, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0332, loss_cls: 0.1834, acc: 93.4604, loss_bbox: 0.2254, loss_mask: 0.2259, loss: 0.6921 +2022-09-22 09:31:13,277 - mmdet - INFO - Epoch [9][1250/7330] lr: 1.000e-04, eta: 1 day, 3:52:21, time: 0.434, data_time: 0.013, memory: 30692, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0364, loss_cls: 0.1914, acc: 93.1694, loss_bbox: 0.2279, loss_mask: 0.2353, loss: 0.7204 +2022-09-22 09:31:35,268 - mmdet - INFO - Epoch [9][1300/7330] lr: 1.000e-04, eta: 1 day, 3:45:10, time: 0.440, data_time: 0.015, memory: 30692, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0341, loss_cls: 0.1843, acc: 93.4009, loss_bbox: 0.2220, loss_mask: 0.2342, loss: 0.7006 +2022-09-22 09:31:56,944 - mmdet - INFO - Epoch [9][1350/7330] lr: 1.000e-04, eta: 1 day, 3:37:40, time: 0.434, data_time: 0.015, memory: 30692, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0339, loss_cls: 0.1785, acc: 93.7312, loss_bbox: 0.2178, loss_mask: 0.2240, loss: 0.6837 +2022-09-22 09:32:18,978 - mmdet - INFO - Epoch [9][1400/7330] lr: 1.000e-04, eta: 1 day, 3:31:33, time: 0.441, data_time: 0.013, memory: 30692, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0332, loss_cls: 0.1811, acc: 93.6377, loss_bbox: 0.2183, loss_mask: 0.2341, loss: 0.6928 +2022-09-22 09:32:40,895 - mmdet - INFO - Epoch [9][1450/7330] lr: 1.000e-04, eta: 1 day, 3:25:27, time: 0.438, data_time: 0.014, memory: 30692, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0350, loss_cls: 0.1844, acc: 93.4221, loss_bbox: 0.2253, loss_mask: 0.2332, loss: 0.7036 +2022-09-22 09:33:02,769 - mmdet - INFO - Epoch [9][1500/7330] lr: 1.000e-04, eta: 1 day, 3:19:49, time: 0.438, data_time: 0.019, memory: 30692, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0321, loss_cls: 0.1784, acc: 93.6760, loss_bbox: 0.2140, loss_mask: 0.2261, loss: 0.6762 +2022-09-22 09:33:24,571 - mmdet - INFO - Epoch [9][1550/7330] lr: 1.000e-04, eta: 1 day, 3:14:17, time: 0.436, data_time: 0.014, memory: 30692, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0358, loss_cls: 0.1945, acc: 93.1047, loss_bbox: 0.2339, loss_mask: 0.2388, loss: 0.7303 +2022-09-22 09:33:46,379 - mmdet - INFO - Epoch [9][1600/7330] lr: 1.000e-04, eta: 1 day, 3:09:05, time: 0.436, data_time: 0.018, memory: 30692, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0385, loss_cls: 0.1985, acc: 93.0479, loss_bbox: 0.2353, loss_mask: 0.2308, loss: 0.7336 +2022-09-22 09:34:08,493 - mmdet - INFO - Epoch [9][1650/7330] lr: 1.000e-04, eta: 1 day, 3:04:36, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0337, loss_cls: 0.1706, acc: 93.8652, loss_bbox: 0.2132, loss_mask: 0.2298, loss: 0.6716 +2022-09-22 09:34:30,123 - mmdet - INFO - Epoch [9][1700/7330] lr: 1.000e-04, eta: 1 day, 2:59:48, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0340, loss_cls: 0.1844, acc: 93.4785, loss_bbox: 0.2281, loss_mask: 0.2293, loss: 0.7034 +2022-09-22 09:34:51,957 - mmdet - INFO - Epoch [9][1750/7330] lr: 1.000e-04, eta: 1 day, 2:55:26, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0351, loss_cls: 0.1783, acc: 93.5869, loss_bbox: 0.2202, loss_mask: 0.2299, loss: 0.6915 +2022-09-22 09:35:13,349 - mmdet - INFO - Epoch [9][1800/7330] lr: 1.000e-04, eta: 1 day, 2:50:29, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0344, loss_cls: 0.1827, acc: 93.5735, loss_bbox: 0.2210, loss_mask: 0.2334, loss: 0.6990 +2022-09-22 09:35:35,043 - mmdet - INFO - Epoch [9][1850/7330] lr: 1.000e-04, eta: 1 day, 2:46:19, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0348, loss_cls: 0.1784, acc: 93.6914, loss_bbox: 0.2161, loss_mask: 0.2261, loss: 0.6818 +2022-09-22 09:35:56,788 - mmdet - INFO - Epoch [9][1900/7330] lr: 1.000e-04, eta: 1 day, 2:42:22, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0349, loss_cls: 0.1817, acc: 93.5171, loss_bbox: 0.2197, loss_mask: 0.2309, loss: 0.6956 +2022-09-22 09:36:18,572 - mmdet - INFO - Epoch [9][1950/7330] lr: 1.000e-04, eta: 1 day, 2:38:45, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0334, loss_cls: 0.1832, acc: 93.4297, loss_bbox: 0.2238, loss_mask: 0.2302, loss: 0.6971 +2022-09-22 09:36:40,433 - mmdet - INFO - Epoch [9][2000/7330] lr: 1.000e-04, eta: 1 day, 2:35:29, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0369, loss_cls: 0.1881, acc: 93.2856, loss_bbox: 0.2253, loss_mask: 0.2343, loss: 0.7130 +2022-09-22 09:37:02,774 - mmdet - INFO - Epoch [9][2050/7330] lr: 1.000e-04, eta: 1 day, 2:33:06, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0346, loss_cls: 0.1904, acc: 93.2283, loss_bbox: 0.2261, loss_mask: 0.2316, loss: 0.7111 +2022-09-22 09:37:24,414 - mmdet - INFO - Epoch [9][2100/7330] lr: 1.000e-04, eta: 1 day, 2:29:40, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0328, loss_cls: 0.1781, acc: 93.6055, loss_bbox: 0.2223, loss_mask: 0.2324, loss: 0.6918 +2022-09-22 09:37:46,573 - mmdet - INFO - Epoch [9][2150/7330] lr: 1.000e-04, eta: 1 day, 2:27:12, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0345, loss_cls: 0.1775, acc: 93.7446, loss_bbox: 0.2167, loss_mask: 0.2271, loss: 0.6862 +2022-09-22 09:38:08,381 - mmdet - INFO - Epoch [9][2200/7330] lr: 1.000e-04, eta: 1 day, 2:24:18, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0349, loss_cls: 0.1774, acc: 93.6421, loss_bbox: 0.2220, loss_mask: 0.2324, loss: 0.6966 +2022-09-22 09:38:30,343 - mmdet - INFO - Epoch [9][2250/7330] lr: 1.000e-04, eta: 1 day, 2:21:44, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0370, loss_cls: 0.1847, acc: 93.4585, loss_bbox: 0.2255, loss_mask: 0.2366, loss: 0.7115 +2022-09-22 09:38:52,175 - mmdet - INFO - Epoch [9][2300/7330] lr: 1.000e-04, eta: 1 day, 2:19:04, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0365, loss_cls: 0.1897, acc: 93.3533, loss_bbox: 0.2287, loss_mask: 0.2345, loss: 0.7161 +2022-09-22 09:39:13,970 - mmdet - INFO - Epoch [9][2350/7330] lr: 1.000e-04, eta: 1 day, 2:16:27, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0320, loss_cls: 0.1812, acc: 93.7004, loss_bbox: 0.2176, loss_mask: 0.2270, loss: 0.6862 +2022-09-22 09:39:35,190 - mmdet - INFO - Epoch [9][2400/7330] lr: 1.000e-04, eta: 1 day, 2:13:07, time: 0.424, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0354, loss_cls: 0.1806, acc: 93.6646, loss_bbox: 0.2199, loss_mask: 0.2294, loss: 0.6921 +2022-09-22 09:39:56,730 - mmdet - INFO - Epoch [9][2450/7330] lr: 1.000e-04, eta: 1 day, 2:10:21, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0335, loss_cls: 0.1822, acc: 93.3938, loss_bbox: 0.2290, loss_mask: 0.2303, loss: 0.7010 +2022-09-22 09:40:18,500 - mmdet - INFO - Epoch [9][2500/7330] lr: 1.000e-04, eta: 1 day, 2:07:59, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0339, loss_cls: 0.1844, acc: 93.4485, loss_bbox: 0.2251, loss_mask: 0.2270, loss: 0.6964 +2022-09-22 09:40:39,992 - mmdet - INFO - Epoch [9][2550/7330] lr: 1.000e-04, eta: 1 day, 2:05:20, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0347, loss_cls: 0.1852, acc: 93.4292, loss_bbox: 0.2218, loss_mask: 0.2307, loss: 0.6992 +2022-09-22 09:41:01,755 - mmdet - INFO - Epoch [9][2600/7330] lr: 1.000e-04, eta: 1 day, 2:03:06, time: 0.435, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0378, loss_cls: 0.1873, acc: 93.2419, loss_bbox: 0.2310, loss_mask: 0.2383, loss: 0.7242 +2022-09-22 09:41:23,836 - mmdet - INFO - Epoch [9][2650/7330] lr: 1.000e-04, eta: 1 day, 2:01:23, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0349, loss_cls: 0.1843, acc: 93.4028, loss_bbox: 0.2271, loss_mask: 0.2275, loss: 0.7016 +2022-09-22 09:41:45,867 - mmdet - INFO - Epoch [9][2700/7330] lr: 1.000e-04, eta: 1 day, 1:59:38, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0363, loss_cls: 0.1880, acc: 93.2854, loss_bbox: 0.2278, loss_mask: 0.2393, loss: 0.7201 +2022-09-22 09:42:07,863 - mmdet - INFO - Epoch [9][2750/7330] lr: 1.000e-04, eta: 1 day, 1:57:53, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0342, loss_cls: 0.1858, acc: 93.4324, loss_bbox: 0.2258, loss_mask: 0.2352, loss: 0.7087 +2022-09-22 09:42:29,725 - mmdet - INFO - Epoch [9][2800/7330] lr: 1.000e-04, eta: 1 day, 1:56:02, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0372, loss_cls: 0.1849, acc: 93.4556, loss_bbox: 0.2306, loss_mask: 0.2334, loss: 0.7165 +2022-09-22 09:42:51,463 - mmdet - INFO - Epoch [9][2850/7330] lr: 1.000e-04, eta: 1 day, 1:54:02, time: 0.434, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0350, loss_cls: 0.1814, acc: 93.5120, loss_bbox: 0.2257, loss_mask: 0.2333, loss: 0.7029 +2022-09-22 09:43:13,162 - mmdet - INFO - Epoch [9][2900/7330] lr: 1.000e-04, eta: 1 day, 1:52:09, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0340, loss_cls: 0.1800, acc: 93.5979, loss_bbox: 0.2210, loss_mask: 0.2321, loss: 0.6961 +2022-09-22 09:43:35,300 - mmdet - INFO - Epoch [9][2950/7330] lr: 1.000e-04, eta: 1 day, 1:50:45, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0318, loss_cls: 0.1809, acc: 93.6917, loss_bbox: 0.2150, loss_mask: 0.2278, loss: 0.6793 +2022-09-22 09:43:57,268 - mmdet - INFO - Epoch [9][3000/7330] lr: 1.000e-04, eta: 1 day, 1:49:14, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0351, loss_cls: 0.1867, acc: 93.4258, loss_bbox: 0.2267, loss_mask: 0.2328, loss: 0.7082 +2022-09-22 09:44:19,130 - mmdet - INFO - Epoch [9][3050/7330] lr: 1.000e-04, eta: 1 day, 1:47:36, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0370, loss_cls: 0.1868, acc: 93.2971, loss_bbox: 0.2286, loss_mask: 0.2378, loss: 0.7205 +2022-09-22 09:44:41,393 - mmdet - INFO - Epoch [9][3100/7330] lr: 1.000e-04, eta: 1 day, 1:46:25, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0369, loss_cls: 0.1884, acc: 93.3245, loss_bbox: 0.2269, loss_mask: 0.2345, loss: 0.7152 +2022-09-22 09:45:03,150 - mmdet - INFO - Epoch [9][3150/7330] lr: 1.000e-04, eta: 1 day, 1:44:48, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0361, loss_cls: 0.1868, acc: 93.4414, loss_bbox: 0.2288, loss_mask: 0.2337, loss: 0.7148 +2022-09-22 09:45:24,573 - mmdet - INFO - Epoch [9][3200/7330] lr: 1.000e-04, eta: 1 day, 1:42:50, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0346, loss_cls: 0.1835, acc: 93.6011, loss_bbox: 0.2199, loss_mask: 0.2287, loss: 0.6969 +2022-09-22 09:45:45,999 - mmdet - INFO - Epoch [9][3250/7330] lr: 1.000e-04, eta: 1 day, 1:40:52, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0349, loss_cls: 0.1786, acc: 93.5842, loss_bbox: 0.2192, loss_mask: 0.2268, loss: 0.6871 +2022-09-22 09:46:08,084 - mmdet - INFO - Epoch [9][3300/7330] lr: 1.000e-04, eta: 1 day, 1:39:43, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0366, loss_cls: 0.1872, acc: 93.3828, loss_bbox: 0.2284, loss_mask: 0.2384, loss: 0.7188 +2022-09-22 09:46:29,792 - mmdet - INFO - Epoch [9][3350/7330] lr: 1.000e-04, eta: 1 day, 1:38:09, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0359, loss_cls: 0.1855, acc: 93.4084, loss_bbox: 0.2221, loss_mask: 0.2374, loss: 0.7079 +2022-09-22 09:46:51,174 - mmdet - INFO - Epoch [9][3400/7330] lr: 1.000e-04, eta: 1 day, 1:36:19, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0319, loss_cls: 0.1782, acc: 93.7595, loss_bbox: 0.2160, loss_mask: 0.2246, loss: 0.6745 +2022-09-22 09:47:12,802 - mmdet - INFO - Epoch [9][3450/7330] lr: 1.000e-04, eta: 1 day, 1:34:46, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0347, loss_cls: 0.1871, acc: 93.2161, loss_bbox: 0.2271, loss_mask: 0.2306, loss: 0.7060 +2022-09-22 09:47:34,984 - mmdet - INFO - Epoch [9][3500/7330] lr: 1.000e-04, eta: 1 day, 1:33:46, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0367, loss_cls: 0.1937, acc: 93.2168, loss_bbox: 0.2307, loss_mask: 0.2355, loss: 0.7241 +2022-09-22 09:47:56,544 - mmdet - INFO - Epoch [9][3550/7330] lr: 1.000e-04, eta: 1 day, 1:32:13, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0337, loss_cls: 0.1748, acc: 93.8184, loss_bbox: 0.2136, loss_mask: 0.2276, loss: 0.6745 +2022-09-22 09:48:18,402 - mmdet - INFO - Epoch [9][3600/7330] lr: 1.000e-04, eta: 1 day, 1:30:57, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0342, loss_cls: 0.1817, acc: 93.7175, loss_bbox: 0.2187, loss_mask: 0.2319, loss: 0.6937 +2022-09-22 09:48:40,091 - mmdet - INFO - Epoch [9][3650/7330] lr: 1.000e-04, eta: 1 day, 1:29:35, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0377, loss_cls: 0.1949, acc: 93.0979, loss_bbox: 0.2358, loss_mask: 0.2433, loss: 0.7393 +2022-09-22 09:49:01,740 - mmdet - INFO - Epoch [9][3700/7330] lr: 1.000e-04, eta: 1 day, 1:28:11, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0332, loss_cls: 0.1844, acc: 93.4756, loss_bbox: 0.2190, loss_mask: 0.2263, loss: 0.6889 +2022-09-22 09:49:24,102 - mmdet - INFO - Epoch [9][3750/7330] lr: 1.000e-04, eta: 1 day, 1:27:27, time: 0.447, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0343, loss_cls: 0.1742, acc: 93.9331, loss_bbox: 0.2110, loss_mask: 0.2291, loss: 0.6785 +2022-09-22 09:49:45,521 - mmdet - INFO - Epoch [9][3800/7330] lr: 1.000e-04, eta: 1 day, 1:25:54, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0344, loss_cls: 0.1811, acc: 93.6023, loss_bbox: 0.2177, loss_mask: 0.2316, loss: 0.6911 +2022-09-22 09:50:07,802 - mmdet - INFO - Epoch [9][3850/7330] lr: 1.000e-04, eta: 1 day, 1:25:09, time: 0.446, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0362, loss_cls: 0.1867, acc: 93.4041, loss_bbox: 0.2261, loss_mask: 0.2372, loss: 0.7168 +2022-09-22 09:50:29,317 - mmdet - INFO - Epoch [9][3900/7330] lr: 1.000e-04, eta: 1 day, 1:23:44, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0349, loss_cls: 0.1871, acc: 93.4509, loss_bbox: 0.2192, loss_mask: 0.2229, loss: 0.6926 +2022-09-22 09:50:50,913 - mmdet - INFO - Epoch [9][3950/7330] lr: 1.000e-04, eta: 1 day, 1:22:25, time: 0.432, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0346, loss_cls: 0.1827, acc: 93.4607, loss_bbox: 0.2225, loss_mask: 0.2311, loss: 0.6982 +2022-09-22 09:51:12,379 - mmdet - INFO - Epoch [9][4000/7330] lr: 1.000e-04, eta: 1 day, 1:21:00, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0352, loss_cls: 0.1934, acc: 93.0173, loss_bbox: 0.2393, loss_mask: 0.2346, loss: 0.7312 +2022-09-22 09:51:33,892 - mmdet - INFO - Epoch [9][4050/7330] lr: 1.000e-04, eta: 1 day, 1:19:40, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0358, loss_cls: 0.1864, acc: 93.3877, loss_bbox: 0.2282, loss_mask: 0.2318, loss: 0.7085 +2022-09-22 09:51:55,237 - mmdet - INFO - Epoch [9][4100/7330] lr: 1.000e-04, eta: 1 day, 1:18:13, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0364, loss_cls: 0.1913, acc: 93.1877, loss_bbox: 0.2318, loss_mask: 0.2359, loss: 0.7264 +2022-09-22 09:52:16,987 - mmdet - INFO - Epoch [9][4150/7330] lr: 1.000e-04, eta: 1 day, 1:17:07, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0368, loss_cls: 0.1886, acc: 93.3538, loss_bbox: 0.2284, loss_mask: 0.2306, loss: 0.7139 +2022-09-22 09:52:38,641 - mmdet - INFO - Epoch [9][4200/7330] lr: 1.000e-04, eta: 1 day, 1:15:56, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0351, loss_cls: 0.1944, acc: 93.2114, loss_bbox: 0.2303, loss_mask: 0.2350, loss: 0.7222 +2022-09-22 09:53:00,366 - mmdet - INFO - Epoch [9][4250/7330] lr: 1.000e-04, eta: 1 day, 1:14:52, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0368, loss_cls: 0.1915, acc: 93.3250, loss_bbox: 0.2311, loss_mask: 0.2337, loss: 0.7210 +2022-09-22 09:53:21,982 - mmdet - INFO - Epoch [9][4300/7330] lr: 1.000e-04, eta: 1 day, 1:13:43, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0360, loss_cls: 0.1819, acc: 93.4912, loss_bbox: 0.2217, loss_mask: 0.2300, loss: 0.6984 +2022-09-22 09:53:43,601 - mmdet - INFO - Epoch [9][4350/7330] lr: 1.000e-04, eta: 1 day, 1:12:35, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0387, loss_cls: 0.1919, acc: 93.2419, loss_bbox: 0.2311, loss_mask: 0.2401, loss: 0.7317 +2022-09-22 09:54:05,125 - mmdet - INFO - Epoch [9][4400/7330] lr: 1.000e-04, eta: 1 day, 1:11:24, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0365, loss_cls: 0.1883, acc: 93.2556, loss_bbox: 0.2298, loss_mask: 0.2369, loss: 0.7230 +2022-09-22 09:54:26,717 - mmdet - INFO - Epoch [9][4450/7330] lr: 1.000e-04, eta: 1 day, 1:10:17, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0352, loss_cls: 0.1836, acc: 93.4148, loss_bbox: 0.2229, loss_mask: 0.2292, loss: 0.6982 +2022-09-22 09:54:48,572 - mmdet - INFO - Epoch [9][4500/7330] lr: 1.000e-04, eta: 1 day, 1:09:22, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0334, loss_cls: 0.1831, acc: 93.6252, loss_bbox: 0.2203, loss_mask: 0.2326, loss: 0.6968 +2022-09-22 09:55:10,095 - mmdet - INFO - Epoch [9][4550/7330] lr: 1.000e-04, eta: 1 day, 1:08:14, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0362, loss_cls: 0.1836, acc: 93.5093, loss_bbox: 0.2252, loss_mask: 0.2261, loss: 0.7020 +2022-09-22 09:55:31,190 - mmdet - INFO - Epoch [9][4600/7330] lr: 1.000e-04, eta: 1 day, 1:06:49, time: 0.422, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0352, loss_cls: 0.1722, acc: 93.7729, loss_bbox: 0.2158, loss_mask: 0.2263, loss: 0.6776 +2022-09-22 09:55:52,714 - mmdet - INFO - Epoch [9][4650/7330] lr: 1.000e-04, eta: 1 day, 1:05:42, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0335, loss_cls: 0.1848, acc: 93.4065, loss_bbox: 0.2215, loss_mask: 0.2298, loss: 0.6968 +2022-09-22 09:56:14,073 - mmdet - INFO - Epoch [9][4700/7330] lr: 1.000e-04, eta: 1 day, 1:04:30, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0350, loss_cls: 0.1854, acc: 93.5537, loss_bbox: 0.2195, loss_mask: 0.2334, loss: 0.7047 +2022-09-22 09:56:35,211 - mmdet - INFO - Epoch [9][4750/7330] lr: 1.000e-04, eta: 1 day, 1:03:10, time: 0.423, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0336, loss_cls: 0.1859, acc: 93.3777, loss_bbox: 0.2262, loss_mask: 0.2296, loss: 0.7055 +2022-09-22 09:56:56,850 - mmdet - INFO - Epoch [9][4800/7330] lr: 1.000e-04, eta: 1 day, 1:02:12, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0366, loss_cls: 0.1862, acc: 93.2800, loss_bbox: 0.2281, loss_mask: 0.2330, loss: 0.7114 +2022-09-22 09:57:18,133 - mmdet - INFO - Epoch [9][4850/7330] lr: 1.000e-04, eta: 1 day, 1:01:00, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0362, loss_cls: 0.1865, acc: 93.2571, loss_bbox: 0.2289, loss_mask: 0.2338, loss: 0.7121 +2022-09-22 09:57:39,911 - mmdet - INFO - Epoch [9][4900/7330] lr: 1.000e-04, eta: 1 day, 1:00:09, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0327, loss_cls: 0.1840, acc: 93.4463, loss_bbox: 0.2254, loss_mask: 0.2241, loss: 0.6939 +2022-09-22 09:58:01,354 - mmdet - INFO - Epoch [9][4950/7330] lr: 1.000e-04, eta: 1 day, 0:59:05, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0322, loss_cls: 0.1773, acc: 93.7119, loss_bbox: 0.2195, loss_mask: 0.2276, loss: 0.6812 +2022-09-22 09:58:22,658 - mmdet - INFO - Epoch [9][5000/7330] lr: 1.000e-04, eta: 1 day, 0:57:57, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0363, loss_cls: 0.1914, acc: 93.2676, loss_bbox: 0.2293, loss_mask: 0.2349, loss: 0.7196 +2022-09-22 09:58:44,015 - mmdet - INFO - Epoch [9][5050/7330] lr: 1.000e-04, eta: 1 day, 0:56:51, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0316, loss_cls: 0.1753, acc: 93.8054, loss_bbox: 0.2128, loss_mask: 0.2238, loss: 0.6701 +2022-09-22 09:59:05,435 - mmdet - INFO - Epoch [9][5100/7330] lr: 1.000e-04, eta: 1 day, 0:55:49, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0354, loss_cls: 0.1834, acc: 93.5269, loss_bbox: 0.2173, loss_mask: 0.2256, loss: 0.6879 +2022-09-22 09:59:27,645 - mmdet - INFO - Epoch [9][5150/7330] lr: 1.000e-04, eta: 1 day, 0:55:19, time: 0.444, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0329, loss_cls: 0.1771, acc: 93.5950, loss_bbox: 0.2182, loss_mask: 0.2265, loss: 0.6812 +2022-09-22 09:59:49,285 - mmdet - INFO - Epoch [9][5200/7330] lr: 1.000e-04, eta: 1 day, 0:54:26, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0360, loss_cls: 0.1866, acc: 93.3911, loss_bbox: 0.2253, loss_mask: 0.2362, loss: 0.7131 +2022-09-22 10:00:10,623 - mmdet - INFO - Epoch [9][5250/7330] lr: 1.000e-04, eta: 1 day, 0:53:23, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0325, loss_cls: 0.1796, acc: 93.6228, loss_bbox: 0.2168, loss_mask: 0.2247, loss: 0.6796 +2022-09-22 10:00:32,112 - mmdet - INFO - Epoch [9][5300/7330] lr: 1.000e-04, eta: 1 day, 0:52:26, time: 0.430, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0351, loss_cls: 0.1904, acc: 93.3586, loss_bbox: 0.2222, loss_mask: 0.2285, loss: 0.7047 +2022-09-22 10:00:53,983 - mmdet - INFO - Epoch [9][5350/7330] lr: 1.000e-04, eta: 1 day, 0:51:44, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0315, loss_cls: 0.1712, acc: 93.8923, loss_bbox: 0.2141, loss_mask: 0.2232, loss: 0.6646 +2022-09-22 10:01:15,902 - mmdet - INFO - Epoch [9][5400/7330] lr: 1.000e-04, eta: 1 day, 0:51:04, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0319, loss_cls: 0.1740, acc: 93.7671, loss_bbox: 0.2126, loss_mask: 0.2245, loss: 0.6674 +2022-09-22 10:01:37,684 - mmdet - INFO - Epoch [9][5450/7330] lr: 1.000e-04, eta: 1 day, 0:50:20, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0326, loss_cls: 0.1851, acc: 93.5549, loss_bbox: 0.2176, loss_mask: 0.2209, loss: 0.6820 +2022-09-22 10:01:59,595 - mmdet - INFO - Epoch [9][5500/7330] lr: 1.000e-04, eta: 1 day, 0:49:40, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0318, loss_cls: 0.1852, acc: 93.4712, loss_bbox: 0.2214, loss_mask: 0.2263, loss: 0.6910 +2022-09-22 10:02:21,041 - mmdet - INFO - Epoch [9][5550/7330] lr: 1.000e-04, eta: 1 day, 0:48:44, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0345, loss_cls: 0.1886, acc: 93.3323, loss_bbox: 0.2270, loss_mask: 0.2297, loss: 0.7071 +2022-09-22 10:02:43,366 - mmdet - INFO - Epoch [9][5600/7330] lr: 1.000e-04, eta: 1 day, 0:48:21, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0344, loss_cls: 0.1822, acc: 93.5134, loss_bbox: 0.2247, loss_mask: 0.2255, loss: 0.6932 +2022-09-22 10:03:05,144 - mmdet - INFO - Epoch [9][5650/7330] lr: 1.000e-04, eta: 1 day, 0:47:38, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0345, loss_cls: 0.1840, acc: 93.5017, loss_bbox: 0.2261, loss_mask: 0.2342, loss: 0.7065 +2022-09-22 10:03:26,921 - mmdet - INFO - Epoch [9][5700/7330] lr: 1.000e-04, eta: 1 day, 0:46:55, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0355, loss_cls: 0.1873, acc: 93.4714, loss_bbox: 0.2257, loss_mask: 0.2372, loss: 0.7142 +2022-09-22 10:03:48,778 - mmdet - INFO - Epoch [9][5750/7330] lr: 1.000e-04, eta: 1 day, 0:46:15, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0335, loss_cls: 0.1765, acc: 93.7603, loss_bbox: 0.2110, loss_mask: 0.2228, loss: 0.6698 +2022-09-22 10:04:11,032 - mmdet - INFO - Epoch [9][5800/7330] lr: 1.000e-04, eta: 1 day, 0:45:49, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0345, loss_cls: 0.1847, acc: 93.5134, loss_bbox: 0.2276, loss_mask: 0.2324, loss: 0.7049 +2022-09-22 10:04:32,801 - mmdet - INFO - Epoch [9][5850/7330] lr: 1.000e-04, eta: 1 day, 0:45:07, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0327, loss_cls: 0.1834, acc: 93.5481, loss_bbox: 0.2148, loss_mask: 0.2278, loss: 0.6867 +2022-09-22 10:04:54,332 - mmdet - INFO - Epoch [9][5900/7330] lr: 1.000e-04, eta: 1 day, 0:44:17, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0335, loss_cls: 0.1757, acc: 93.8083, loss_bbox: 0.2144, loss_mask: 0.2222, loss: 0.6741 +2022-09-22 10:05:15,732 - mmdet - INFO - Epoch [9][5950/7330] lr: 1.000e-04, eta: 1 day, 0:43:24, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0319, loss_cls: 0.1834, acc: 93.5261, loss_bbox: 0.2222, loss_mask: 0.2308, loss: 0.6959 +2022-09-22 10:05:38,008 - mmdet - INFO - Epoch [9][6000/7330] lr: 1.000e-04, eta: 1 day, 0:43:00, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0352, loss_cls: 0.1870, acc: 93.4531, loss_bbox: 0.2213, loss_mask: 0.2286, loss: 0.6990 +2022-09-22 10:06:00,157 - mmdet - INFO - Epoch [9][6050/7330] lr: 1.000e-04, eta: 1 day, 0:42:31, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0346, loss_cls: 0.1791, acc: 93.6255, loss_bbox: 0.2198, loss_mask: 0.2268, loss: 0.6872 +2022-09-22 10:06:22,071 - mmdet - INFO - Epoch [9][6100/7330] lr: 1.000e-04, eta: 1 day, 0:41:55, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0334, loss_cls: 0.1861, acc: 93.4648, loss_bbox: 0.2237, loss_mask: 0.2322, loss: 0.7032 +2022-09-22 10:06:43,712 - mmdet - INFO - Epoch [9][6150/7330] lr: 1.000e-04, eta: 1 day, 0:41:11, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0361, loss_cls: 0.1864, acc: 93.2727, loss_bbox: 0.2316, loss_mask: 0.2298, loss: 0.7114 +2022-09-22 10:07:04,805 - mmdet - INFO - Epoch [9][6200/7330] lr: 1.000e-04, eta: 1 day, 0:40:09, time: 0.422, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0328, loss_cls: 0.1866, acc: 93.4578, loss_bbox: 0.2210, loss_mask: 0.2287, loss: 0.6947 +2022-09-22 10:07:26,545 - mmdet - INFO - Epoch [9][6250/7330] lr: 1.000e-04, eta: 1 day, 0:39:29, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0361, loss_cls: 0.1944, acc: 93.0684, loss_bbox: 0.2352, loss_mask: 0.2352, loss: 0.7290 +2022-09-22 10:07:48,193 - mmdet - INFO - Epoch [9][6300/7330] lr: 1.000e-04, eta: 1 day, 0:38:46, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0337, loss_cls: 0.1831, acc: 93.5188, loss_bbox: 0.2296, loss_mask: 0.2361, loss: 0.7086 +2022-09-22 10:08:10,114 - mmdet - INFO - Epoch [9][6350/7330] lr: 1.000e-04, eta: 1 day, 0:38:12, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0366, loss_cls: 0.1865, acc: 93.3792, loss_bbox: 0.2240, loss_mask: 0.2288, loss: 0.7060 +2022-09-22 10:08:31,989 - mmdet - INFO - Epoch [9][6400/7330] lr: 1.000e-04, eta: 1 day, 0:37:36, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0338, loss_cls: 0.1813, acc: 93.6362, loss_bbox: 0.2232, loss_mask: 0.2272, loss: 0.6932 +2022-09-22 10:08:53,675 - mmdet - INFO - Epoch [9][6450/7330] lr: 1.000e-04, eta: 1 day, 0:36:55, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0344, loss_cls: 0.1853, acc: 93.4539, loss_bbox: 0.2198, loss_mask: 0.2287, loss: 0.6969 +2022-09-22 10:09:15,726 - mmdet - INFO - Epoch [9][6500/7330] lr: 1.000e-04, eta: 1 day, 0:36:26, time: 0.441, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0323, loss_cls: 0.1807, acc: 93.5229, loss_bbox: 0.2187, loss_mask: 0.2302, loss: 0.6888 +2022-09-22 10:09:37,451 - mmdet - INFO - Epoch [9][6550/7330] lr: 1.000e-04, eta: 1 day, 0:35:46, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0335, loss_cls: 0.1785, acc: 93.5281, loss_bbox: 0.2228, loss_mask: 0.2321, loss: 0.6922 +2022-09-22 10:09:59,625 - mmdet - INFO - Epoch [9][6600/7330] lr: 1.000e-04, eta: 1 day, 0:35:21, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0338, loss_cls: 0.1798, acc: 93.6406, loss_bbox: 0.2157, loss_mask: 0.2252, loss: 0.6797 +2022-09-22 10:10:20,849 - mmdet - INFO - Epoch [9][6650/7330] lr: 1.000e-04, eta: 1 day, 0:34:27, time: 0.424, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0320, loss_cls: 0.1782, acc: 93.6914, loss_bbox: 0.2183, loss_mask: 0.2287, loss: 0.6855 +2022-09-22 10:10:42,656 - mmdet - INFO - Epoch [9][6700/7330] lr: 1.000e-04, eta: 1 day, 0:33:50, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0335, loss_cls: 0.1776, acc: 93.7219, loss_bbox: 0.2213, loss_mask: 0.2276, loss: 0.6885 +2022-09-22 10:11:04,518 - mmdet - INFO - Epoch [9][6750/7330] lr: 1.000e-04, eta: 1 day, 0:33:16, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0353, loss_cls: 0.1855, acc: 93.3706, loss_bbox: 0.2287, loss_mask: 0.2292, loss: 0.7081 +2022-09-22 10:11:26,512 - mmdet - INFO - Epoch [9][6800/7330] lr: 1.000e-04, eta: 1 day, 0:32:46, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0355, loss_cls: 0.1759, acc: 93.6665, loss_bbox: 0.2140, loss_mask: 0.2297, loss: 0.6808 +2022-09-22 10:11:48,723 - mmdet - INFO - Epoch [9][6850/7330] lr: 1.000e-04, eta: 1 day, 0:32:22, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0361, loss_cls: 0.1849, acc: 93.3940, loss_bbox: 0.2194, loss_mask: 0.2267, loss: 0.6936 +2022-09-22 10:12:10,607 - mmdet - INFO - Epoch [9][6900/7330] lr: 1.000e-04, eta: 1 day, 0:31:49, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0344, loss_cls: 0.1866, acc: 93.4009, loss_bbox: 0.2274, loss_mask: 0.2277, loss: 0.7019 +2022-09-22 10:12:32,044 - mmdet - INFO - Epoch [9][6950/7330] lr: 1.000e-04, eta: 1 day, 0:31:03, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0334, loss_cls: 0.1836, acc: 93.3447, loss_bbox: 0.2244, loss_mask: 0.2379, loss: 0.7048 +2022-09-22 10:12:53,679 - mmdet - INFO - Epoch [9][7000/7330] lr: 1.000e-04, eta: 1 day, 0:30:23, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0342, loss_cls: 0.1843, acc: 93.4226, loss_bbox: 0.2242, loss_mask: 0.2360, loss: 0.7062 +2022-09-22 10:13:15,431 - mmdet - INFO - Epoch [9][7050/7330] lr: 1.000e-04, eta: 1 day, 0:29:47, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0355, loss_cls: 0.1849, acc: 93.5815, loss_bbox: 0.2206, loss_mask: 0.2323, loss: 0.7018 +2022-09-22 10:13:37,226 - mmdet - INFO - Epoch [9][7100/7330] lr: 1.000e-04, eta: 1 day, 0:29:12, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0326, loss_cls: 0.1800, acc: 93.5396, loss_bbox: 0.2211, loss_mask: 0.2256, loss: 0.6850 +2022-09-22 10:13:58,894 - mmdet - INFO - Epoch [9][7150/7330] lr: 1.000e-04, eta: 1 day, 0:28:33, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0371, loss_cls: 0.1873, acc: 93.2390, loss_bbox: 0.2332, loss_mask: 0.2280, loss: 0.7141 +2022-09-22 10:14:20,505 - mmdet - INFO - Epoch [9][7200/7330] lr: 1.000e-04, eta: 1 day, 0:27:54, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0334, loss_cls: 0.1840, acc: 93.5020, loss_bbox: 0.2204, loss_mask: 0.2299, loss: 0.6968 +2022-09-22 10:14:42,248 - mmdet - INFO - Epoch [9][7250/7330] lr: 1.000e-04, eta: 1 day, 0:27:19, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0366, loss_cls: 0.1922, acc: 93.2358, loss_bbox: 0.2326, loss_mask: 0.2378, loss: 0.7273 +2022-09-22 10:15:03,868 - mmdet - INFO - Epoch [9][7300/7330] lr: 1.000e-04, eta: 1 day, 0:26:40, time: 0.432, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0349, loss_cls: 0.1829, acc: 93.4895, loss_bbox: 0.2247, loss_mask: 0.2356, loss: 0.7030 +2022-09-22 10:15:26,059 - mmdet - INFO - Saving checkpoint at 9 epochs +2022-09-22 10:17:20,750 - mmdet - INFO - Evaluating bbox... +2022-09-22 10:17:48,942 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.460 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.688 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.508 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.304 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.501 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.428 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.635 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.748 + +2022-09-22 10:17:48,942 - mmdet - INFO - Evaluating segm... +2022-09-22 10:18:24,746 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.411 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.653 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.443 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.224 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.445 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.602 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.540 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.540 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.540 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.366 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.578 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.707 + +2022-09-22 10:18:25,347 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 10:18:25,348 - mmdet - INFO - Epoch(val) [9][625] bbox_mAP: 0.4600, bbox_mAP_50: 0.6880, bbox_mAP_75: 0.5080, bbox_mAP_s: 0.3040, bbox_mAP_m: 0.5010, bbox_mAP_l: 0.5970, bbox_mAP_copypaste: 0.460 0.688 0.508 0.304 0.501 0.597, segm_mAP: 0.4110, segm_mAP_50: 0.6530, segm_mAP_75: 0.4430, segm_mAP_s: 0.2240, segm_mAP_m: 0.4450, segm_mAP_l: 0.6020, segm_mAP_copypaste: 0.411 0.653 0.443 0.224 0.445 0.602 +2022-09-22 10:21:09,689 - mmdet - INFO - Epoch [10][50/7330] lr: 1.000e-04, eta: 1 day, 1:23:36, time: 3.286, data_time: 2.849, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0326, loss_cls: 0.1698, acc: 93.8508, loss_bbox: 0.2168, loss_mask: 0.2263, loss: 0.6694 +2022-09-22 10:21:32,013 - mmdet - INFO - Epoch [10][100/7330] lr: 1.000e-04, eta: 1 day, 1:22:52, time: 0.446, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0333, loss_cls: 0.1849, acc: 93.3855, loss_bbox: 0.2228, loss_mask: 0.2295, loss: 0.6988 +2022-09-22 10:21:54,043 - mmdet - INFO - Epoch [10][150/7330] lr: 1.000e-04, eta: 1 day, 1:22:01, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0349, loss_cls: 0.1801, acc: 93.4197, loss_bbox: 0.2271, loss_mask: 0.2315, loss: 0.6993 +2022-09-22 10:22:16,129 - mmdet - INFO - Epoch [10][200/7330] lr: 1.000e-04, eta: 1 day, 1:21:11, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0353, loss_cls: 0.1842, acc: 93.4612, loss_bbox: 0.2233, loss_mask: 0.2255, loss: 0.6954 +2022-09-22 10:22:37,908 - mmdet - INFO - Epoch [10][250/7330] lr: 1.000e-04, eta: 1 day, 1:20:15, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0346, loss_cls: 0.1823, acc: 93.4548, loss_bbox: 0.2212, loss_mask: 0.2318, loss: 0.6969 +2022-09-22 10:22:59,713 - mmdet - INFO - Epoch [10][300/7330] lr: 1.000e-04, eta: 1 day, 1:19:19, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0349, loss_cls: 0.1792, acc: 93.6423, loss_bbox: 0.2180, loss_mask: 0.2267, loss: 0.6856 +2022-09-22 10:23:21,539 - mmdet - INFO - Epoch [10][350/7330] lr: 1.000e-04, eta: 1 day, 1:18:24, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0348, loss_cls: 0.1796, acc: 93.5618, loss_bbox: 0.2259, loss_mask: 0.2289, loss: 0.6961 +2022-09-22 10:23:43,536 - mmdet - INFO - Epoch [10][400/7330] lr: 1.000e-04, eta: 1 day, 1:17:34, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0351, loss_cls: 0.1803, acc: 93.4343, loss_bbox: 0.2252, loss_mask: 0.2320, loss: 0.6996 +2022-09-22 10:24:05,423 - mmdet - INFO - Epoch [10][450/7330] lr: 1.000e-04, eta: 1 day, 1:16:41, time: 0.438, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0361, loss_cls: 0.1781, acc: 93.7222, loss_bbox: 0.2192, loss_mask: 0.2293, loss: 0.6899 +2022-09-22 10:24:27,479 - mmdet - INFO - Epoch [10][500/7330] lr: 1.000e-04, eta: 1 day, 1:15:53, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0331, loss_cls: 0.1719, acc: 93.8560, loss_bbox: 0.2118, loss_mask: 0.2201, loss: 0.6630 +2022-09-22 10:24:49,199 - mmdet - INFO - Epoch [10][550/7330] lr: 1.000e-04, eta: 1 day, 1:14:57, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0364, loss_cls: 0.1821, acc: 93.5166, loss_bbox: 0.2242, loss_mask: 0.2288, loss: 0.6978 +2022-09-22 10:25:10,987 - mmdet - INFO - Epoch [10][600/7330] lr: 1.000e-04, eta: 1 day, 1:14:03, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0354, loss_cls: 0.1785, acc: 93.6492, loss_bbox: 0.2194, loss_mask: 0.2248, loss: 0.6845 +2022-09-22 10:25:32,450 - mmdet - INFO - Epoch [10][650/7330] lr: 1.000e-04, eta: 1 day, 1:13:02, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0354, loss_cls: 0.1810, acc: 93.4116, loss_bbox: 0.2239, loss_mask: 0.2320, loss: 0.6992 +2022-09-22 10:25:54,284 - mmdet - INFO - Epoch [10][700/7330] lr: 1.000e-04, eta: 1 day, 1:12:10, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0345, loss_cls: 0.1822, acc: 93.5134, loss_bbox: 0.2186, loss_mask: 0.2313, loss: 0.6933 +2022-09-22 10:26:16,186 - mmdet - INFO - Epoch [10][750/7330] lr: 1.000e-04, eta: 1 day, 1:11:20, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0377, loss_cls: 0.1800, acc: 93.6316, loss_bbox: 0.2213, loss_mask: 0.2261, loss: 0.6952 +2022-09-22 10:26:37,795 - mmdet - INFO - Epoch [10][800/7330] lr: 1.000e-04, eta: 1 day, 1:10:23, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0338, loss_cls: 0.1662, acc: 93.9871, loss_bbox: 0.2108, loss_mask: 0.2258, loss: 0.6627 +2022-09-22 10:26:59,518 - mmdet - INFO - Epoch [10][850/7330] lr: 1.000e-04, eta: 1 day, 1:09:29, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0340, loss_cls: 0.1789, acc: 93.6301, loss_bbox: 0.2152, loss_mask: 0.2271, loss: 0.6806 +2022-09-22 10:27:21,600 - mmdet - INFO - Epoch [10][900/7330] lr: 1.000e-04, eta: 1 day, 1:08:45, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0343, loss_cls: 0.1862, acc: 93.3716, loss_bbox: 0.2247, loss_mask: 0.2318, loss: 0.7030 +2022-09-22 10:27:43,377 - mmdet - INFO - Epoch [10][950/7330] lr: 1.000e-04, eta: 1 day, 1:07:54, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0352, loss_cls: 0.1869, acc: 93.2620, loss_bbox: 0.2357, loss_mask: 0.2342, loss: 0.7172 +2022-09-22 10:28:05,529 - mmdet - INFO - Epoch [10][1000/7330] lr: 1.000e-04, eta: 1 day, 1:07:11, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0367, loss_cls: 0.1835, acc: 93.3284, loss_bbox: 0.2284, loss_mask: 0.2265, loss: 0.7010 +2022-09-22 10:28:27,225 - mmdet - INFO - Epoch [10][1050/7330] lr: 1.000e-04, eta: 1 day, 1:06:19, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0320, loss_cls: 0.1854, acc: 93.4492, loss_bbox: 0.2218, loss_mask: 0.2269, loss: 0.6927 +2022-09-22 10:28:49,175 - mmdet - INFO - Epoch [10][1100/7330] lr: 1.000e-04, eta: 1 day, 1:05:32, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0353, loss_cls: 0.1836, acc: 93.3796, loss_bbox: 0.2291, loss_mask: 0.2326, loss: 0.7086 +2022-09-22 10:29:10,766 - mmdet - INFO - Epoch [10][1150/7330] lr: 1.000e-04, eta: 1 day, 1:04:38, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0342, loss_cls: 0.1769, acc: 93.7444, loss_bbox: 0.2168, loss_mask: 0.2272, loss: 0.6806 +2022-09-22 10:29:32,366 - mmdet - INFO - Epoch [10][1200/7330] lr: 1.000e-04, eta: 1 day, 1:03:44, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0308, loss_cls: 0.1594, acc: 94.3076, loss_bbox: 0.2030, loss_mask: 0.2148, loss: 0.6310 +2022-09-22 10:29:54,006 - mmdet - INFO - Epoch [10][1250/7330] lr: 1.000e-04, eta: 1 day, 1:02:51, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0337, loss_cls: 0.1792, acc: 93.6462, loss_bbox: 0.2156, loss_mask: 0.2241, loss: 0.6790 +2022-09-22 10:30:15,325 - mmdet - INFO - Epoch [10][1300/7330] lr: 1.000e-04, eta: 1 day, 1:01:52, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0344, loss_cls: 0.1776, acc: 93.7317, loss_bbox: 0.2153, loss_mask: 0.2252, loss: 0.6784 +2022-09-22 10:30:37,737 - mmdet - INFO - Epoch [10][1350/7330] lr: 1.000e-04, eta: 1 day, 1:01:17, time: 0.448, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0350, loss_cls: 0.1784, acc: 93.5627, loss_bbox: 0.2227, loss_mask: 0.2288, loss: 0.6930 +2022-09-22 10:30:59,134 - mmdet - INFO - Epoch [10][1400/7330] lr: 1.000e-04, eta: 1 day, 1:00:20, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0339, loss_cls: 0.1799, acc: 93.5649, loss_bbox: 0.2216, loss_mask: 0.2278, loss: 0.6916 +2022-09-22 10:31:20,950 - mmdet - INFO - Epoch [10][1450/7330] lr: 1.000e-04, eta: 1 day, 0:59:32, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0344, loss_cls: 0.1884, acc: 93.1597, loss_bbox: 0.2267, loss_mask: 0.2390, loss: 0.7169 +2022-09-22 10:31:42,561 - mmdet - INFO - Epoch [10][1500/7330] lr: 1.000e-04, eta: 1 day, 0:58:41, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0321, loss_cls: 0.1696, acc: 93.9658, loss_bbox: 0.2108, loss_mask: 0.2254, loss: 0.6632 +2022-09-22 10:32:04,009 - mmdet - INFO - Epoch [10][1550/7330] lr: 1.000e-04, eta: 1 day, 0:57:47, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0330, loss_cls: 0.1747, acc: 93.7893, loss_bbox: 0.2158, loss_mask: 0.2252, loss: 0.6745 +2022-09-22 10:32:25,494 - mmdet - INFO - Epoch [10][1600/7330] lr: 1.000e-04, eta: 1 day, 0:56:53, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0345, loss_cls: 0.1733, acc: 93.8711, loss_bbox: 0.2132, loss_mask: 0.2290, loss: 0.6755 +2022-09-22 10:32:47,525 - mmdet - INFO - Epoch [10][1650/7330] lr: 1.000e-04, eta: 1 day, 0:56:12, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0355, loss_cls: 0.1821, acc: 93.4536, loss_bbox: 0.2210, loss_mask: 0.2330, loss: 0.7006 +2022-09-22 10:33:09,321 - mmdet - INFO - Epoch [10][1700/7330] lr: 1.000e-04, eta: 1 day, 0:55:25, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0325, loss_cls: 0.1758, acc: 93.8032, loss_bbox: 0.2204, loss_mask: 0.2287, loss: 0.6821 +2022-09-22 10:33:31,071 - mmdet - INFO - Epoch [10][1750/7330] lr: 1.000e-04, eta: 1 day, 0:54:39, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0338, loss_cls: 0.1783, acc: 93.6792, loss_bbox: 0.2178, loss_mask: 0.2290, loss: 0.6871 +2022-09-22 10:33:53,445 - mmdet - INFO - Epoch [10][1800/7330] lr: 1.000e-04, eta: 1 day, 0:54:05, time: 0.447, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0347, loss_cls: 0.1838, acc: 93.4651, loss_bbox: 0.2253, loss_mask: 0.2323, loss: 0.7046 +2022-09-22 10:34:15,920 - mmdet - INFO - Epoch [10][1850/7330] lr: 1.000e-04, eta: 1 day, 0:53:34, time: 0.450, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0339, loss_cls: 0.1754, acc: 93.7112, loss_bbox: 0.2144, loss_mask: 0.2298, loss: 0.6796 +2022-09-22 10:34:37,642 - mmdet - INFO - Epoch [10][1900/7330] lr: 1.000e-04, eta: 1 day, 0:52:47, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0346, loss_cls: 0.1768, acc: 93.6313, loss_bbox: 0.2150, loss_mask: 0.2221, loss: 0.6763 +2022-09-22 10:34:59,772 - mmdet - INFO - Epoch [10][1950/7330] lr: 1.000e-04, eta: 1 day, 0:52:09, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0339, loss_cls: 0.1778, acc: 93.5991, loss_bbox: 0.2206, loss_mask: 0.2373, loss: 0.6965 +2022-09-22 10:35:21,567 - mmdet - INFO - Epoch [10][2000/7330] lr: 1.000e-04, eta: 1 day, 0:51:24, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0335, loss_cls: 0.1799, acc: 93.5715, loss_bbox: 0.2240, loss_mask: 0.2370, loss: 0.7007 +2022-09-22 10:35:43,458 - mmdet - INFO - Epoch [10][2050/7330] lr: 1.000e-04, eta: 1 day, 0:50:42, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0339, loss_cls: 0.1807, acc: 93.5945, loss_bbox: 0.2225, loss_mask: 0.2348, loss: 0.6972 +2022-09-22 10:36:05,445 - mmdet - INFO - Epoch [10][2100/7330] lr: 1.000e-04, eta: 1 day, 0:50:01, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0325, loss_cls: 0.1759, acc: 93.6990, loss_bbox: 0.2139, loss_mask: 0.2211, loss: 0.6675 +2022-09-22 10:36:27,399 - mmdet - INFO - Epoch [10][2150/7330] lr: 1.000e-04, eta: 1 day, 0:49:21, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0324, loss_cls: 0.1809, acc: 93.5288, loss_bbox: 0.2185, loss_mask: 0.2255, loss: 0.6834 +2022-09-22 10:36:49,777 - mmdet - INFO - Epoch [10][2200/7330] lr: 1.000e-04, eta: 1 day, 0:48:48, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0322, loss_cls: 0.1798, acc: 93.7517, loss_bbox: 0.2128, loss_mask: 0.2261, loss: 0.6768 +2022-09-22 10:37:11,749 - mmdet - INFO - Epoch [10][2250/7330] lr: 1.000e-04, eta: 1 day, 0:48:08, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0346, loss_cls: 0.1828, acc: 93.4907, loss_bbox: 0.2233, loss_mask: 0.2288, loss: 0.6964 +2022-09-22 10:37:33,352 - mmdet - INFO - Epoch [10][2300/7330] lr: 1.000e-04, eta: 1 day, 0:47:21, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0351, loss_cls: 0.1796, acc: 93.5847, loss_bbox: 0.2220, loss_mask: 0.2311, loss: 0.6952 +2022-09-22 10:37:55,874 - mmdet - INFO - Epoch [10][2350/7330] lr: 1.000e-04, eta: 1 day, 0:46:52, time: 0.450, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0356, loss_cls: 0.1877, acc: 93.3752, loss_bbox: 0.2275, loss_mask: 0.2280, loss: 0.7072 +2022-09-22 10:38:18,292 - mmdet - INFO - Epoch [10][2400/7330] lr: 1.000e-04, eta: 1 day, 0:46:22, time: 0.449, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0386, loss_cls: 0.1871, acc: 93.3953, loss_bbox: 0.2284, loss_mask: 0.2315, loss: 0.7167 +2022-09-22 10:38:40,379 - mmdet - INFO - Epoch [10][2450/7330] lr: 1.000e-04, eta: 1 day, 0:45:44, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0359, loss_cls: 0.1920, acc: 93.1575, loss_bbox: 0.2253, loss_mask: 0.2269, loss: 0.7115 +2022-09-22 10:39:02,722 - mmdet - INFO - Epoch [10][2500/7330] lr: 1.000e-04, eta: 1 day, 0:45:12, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0335, loss_cls: 0.1667, acc: 94.1282, loss_bbox: 0.2027, loss_mask: 0.2141, loss: 0.6433 +2022-09-22 10:39:24,887 - mmdet - INFO - Epoch [10][2550/7330] lr: 1.000e-04, eta: 1 day, 0:44:37, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0341, loss_cls: 0.1769, acc: 93.7112, loss_bbox: 0.2170, loss_mask: 0.2279, loss: 0.6810 +2022-09-22 10:39:46,791 - mmdet - INFO - Epoch [10][2600/7330] lr: 1.000e-04, eta: 1 day, 0:43:57, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0313, loss_cls: 0.1762, acc: 93.7468, loss_bbox: 0.2184, loss_mask: 0.2222, loss: 0.6720 +2022-09-22 10:40:08,702 - mmdet - INFO - Epoch [10][2650/7330] lr: 1.000e-04, eta: 1 day, 0:43:16, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0361, loss_cls: 0.1733, acc: 93.7949, loss_bbox: 0.2158, loss_mask: 0.2304, loss: 0.6857 +2022-09-22 10:40:30,447 - mmdet - INFO - Epoch [10][2700/7330] lr: 1.000e-04, eta: 1 day, 0:42:33, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0351, loss_cls: 0.1799, acc: 93.5938, loss_bbox: 0.2235, loss_mask: 0.2315, loss: 0.6979 +2022-09-22 10:40:52,584 - mmdet - INFO - Epoch [10][2750/7330] lr: 1.000e-04, eta: 1 day, 0:41:58, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0359, loss_cls: 0.1746, acc: 93.7344, loss_bbox: 0.2206, loss_mask: 0.2253, loss: 0.6841 +2022-09-22 10:41:14,466 - mmdet - INFO - Epoch [10][2800/7330] lr: 1.000e-04, eta: 1 day, 0:41:18, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0353, loss_cls: 0.1839, acc: 93.4878, loss_bbox: 0.2206, loss_mask: 0.2223, loss: 0.6898 +2022-09-22 10:41:36,111 - mmdet - INFO - Epoch [10][2850/7330] lr: 1.000e-04, eta: 1 day, 0:40:33, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0318, loss_cls: 0.1765, acc: 93.8276, loss_bbox: 0.2172, loss_mask: 0.2247, loss: 0.6753 +2022-09-22 10:41:58,187 - mmdet - INFO - Epoch [10][2900/7330] lr: 1.000e-04, eta: 1 day, 0:39:57, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0370, loss_cls: 0.1743, acc: 93.6345, loss_bbox: 0.2212, loss_mask: 0.2270, loss: 0.6871 +2022-09-22 10:42:20,006 - mmdet - INFO - Epoch [10][2950/7330] lr: 1.000e-04, eta: 1 day, 0:39:17, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0332, loss_cls: 0.1728, acc: 93.8325, loss_bbox: 0.2124, loss_mask: 0.2243, loss: 0.6680 +2022-09-22 10:42:41,874 - mmdet - INFO - Epoch [10][3000/7330] lr: 1.000e-04, eta: 1 day, 0:38:37, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0326, loss_cls: 0.1742, acc: 93.8047, loss_bbox: 0.2104, loss_mask: 0.2262, loss: 0.6697 +2022-09-22 10:43:03,307 - mmdet - INFO - Epoch [10][3050/7330] lr: 1.000e-04, eta: 1 day, 0:37:49, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0347, loss_cls: 0.1811, acc: 93.6101, loss_bbox: 0.2150, loss_mask: 0.2220, loss: 0.6802 +2022-09-22 10:43:25,302 - mmdet - INFO - Epoch [10][3100/7330] lr: 1.000e-04, eta: 1 day, 0:37:12, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0320, loss_cls: 0.1780, acc: 93.6343, loss_bbox: 0.2165, loss_mask: 0.2304, loss: 0.6840 +2022-09-22 10:43:46,820 - mmdet - INFO - Epoch [10][3150/7330] lr: 1.000e-04, eta: 1 day, 0:36:27, time: 0.430, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0349, loss_cls: 0.1838, acc: 93.5356, loss_bbox: 0.2271, loss_mask: 0.2333, loss: 0.7054 +2022-09-22 10:44:08,412 - mmdet - INFO - Epoch [10][3200/7330] lr: 1.000e-04, eta: 1 day, 0:35:43, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0340, loss_cls: 0.1893, acc: 93.1790, loss_bbox: 0.2241, loss_mask: 0.2270, loss: 0.7006 +2022-09-22 10:44:30,187 - mmdet - INFO - Epoch [10][3250/7330] lr: 1.000e-04, eta: 1 day, 0:35:02, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0344, loss_cls: 0.1871, acc: 93.3892, loss_bbox: 0.2208, loss_mask: 0.2316, loss: 0.7005 +2022-09-22 10:44:51,962 - mmdet - INFO - Epoch [10][3300/7330] lr: 1.000e-04, eta: 1 day, 0:34:22, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0339, loss_cls: 0.1798, acc: 93.5771, loss_bbox: 0.2174, loss_mask: 0.2298, loss: 0.6852 +2022-09-22 10:45:13,775 - mmdet - INFO - Epoch [10][3350/7330] lr: 1.000e-04, eta: 1 day, 0:33:43, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0325, loss_cls: 0.1726, acc: 93.8101, loss_bbox: 0.2117, loss_mask: 0.2211, loss: 0.6623 +2022-09-22 10:45:35,786 - mmdet - INFO - Epoch [10][3400/7330] lr: 1.000e-04, eta: 1 day, 0:33:07, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0322, loss_cls: 0.1722, acc: 93.8416, loss_bbox: 0.2134, loss_mask: 0.2217, loss: 0.6648 +2022-09-22 10:45:57,780 - mmdet - INFO - Epoch [10][3450/7330] lr: 1.000e-04, eta: 1 day, 0:32:30, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0352, loss_cls: 0.1778, acc: 93.6741, loss_bbox: 0.2230, loss_mask: 0.2272, loss: 0.6907 +2022-09-22 10:46:20,342 - mmdet - INFO - Epoch [10][3500/7330] lr: 1.000e-04, eta: 1 day, 0:32:06, time: 0.452, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0362, loss_cls: 0.1732, acc: 93.7549, loss_bbox: 0.2140, loss_mask: 0.2227, loss: 0.6718 +2022-09-22 10:46:41,925 - mmdet - INFO - Epoch [10][3550/7330] lr: 1.000e-04, eta: 1 day, 0:31:23, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0330, loss_cls: 0.1758, acc: 93.7285, loss_bbox: 0.2159, loss_mask: 0.2258, loss: 0.6760 +2022-09-22 10:47:03,160 - mmdet - INFO - Epoch [10][3600/7330] lr: 1.000e-04, eta: 1 day, 0:30:34, time: 0.425, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0309, loss_cls: 0.1676, acc: 93.9978, loss_bbox: 0.2072, loss_mask: 0.2204, loss: 0.6489 +2022-09-22 10:47:24,749 - mmdet - INFO - Epoch [10][3650/7330] lr: 1.000e-04, eta: 1 day, 0:29:51, time: 0.432, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0364, loss_cls: 0.1741, acc: 93.8035, loss_bbox: 0.2157, loss_mask: 0.2272, loss: 0.6813 +2022-09-22 10:47:46,810 - mmdet - INFO - Epoch [10][3700/7330] lr: 1.000e-04, eta: 1 day, 0:29:17, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0362, loss_cls: 0.1796, acc: 93.6516, loss_bbox: 0.2184, loss_mask: 0.2238, loss: 0.6875 +2022-09-22 10:48:08,452 - mmdet - INFO - Epoch [10][3750/7330] lr: 1.000e-04, eta: 1 day, 0:28:36, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0337, loss_cls: 0.1786, acc: 93.5488, loss_bbox: 0.2210, loss_mask: 0.2269, loss: 0.6873 +2022-09-22 10:48:30,439 - mmdet - INFO - Epoch [10][3800/7330] lr: 1.000e-04, eta: 1 day, 0:28:01, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0325, loss_cls: 0.1681, acc: 94.0322, loss_bbox: 0.2083, loss_mask: 0.2330, loss: 0.6657 +2022-09-22 10:48:52,351 - mmdet - INFO - Epoch [10][3850/7330] lr: 1.000e-04, eta: 1 day, 0:27:25, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0352, loss_cls: 0.1766, acc: 93.5801, loss_bbox: 0.2219, loss_mask: 0.2309, loss: 0.6927 +2022-09-22 10:49:14,304 - mmdet - INFO - Epoch [10][3900/7330] lr: 1.000e-04, eta: 1 day, 0:26:50, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0347, loss_cls: 0.1758, acc: 93.5598, loss_bbox: 0.2245, loss_mask: 0.2320, loss: 0.6947 +2022-09-22 10:49:36,228 - mmdet - INFO - Epoch [10][3950/7330] lr: 1.000e-04, eta: 1 day, 0:26:14, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0330, loss_cls: 0.1790, acc: 93.6404, loss_bbox: 0.2157, loss_mask: 0.2281, loss: 0.6807 +2022-09-22 10:49:58,277 - mmdet - INFO - Epoch [10][4000/7330] lr: 1.000e-04, eta: 1 day, 0:25:40, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0361, loss_cls: 0.1890, acc: 93.3835, loss_bbox: 0.2244, loss_mask: 0.2367, loss: 0.7162 +2022-09-22 10:50:19,658 - mmdet - INFO - Epoch [10][4050/7330] lr: 1.000e-04, eta: 1 day, 0:24:56, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0318, loss_cls: 0.1640, acc: 94.0920, loss_bbox: 0.2075, loss_mask: 0.2246, loss: 0.6518 +2022-09-22 10:50:41,568 - mmdet - INFO - Epoch [10][4100/7330] lr: 1.000e-04, eta: 1 day, 0:24:20, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0352, loss_cls: 0.1866, acc: 93.3525, loss_bbox: 0.2294, loss_mask: 0.2328, loss: 0.7112 +2022-09-22 10:51:03,318 - mmdet - INFO - Epoch [10][4150/7330] lr: 1.000e-04, eta: 1 day, 0:23:41, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0328, loss_cls: 0.1794, acc: 93.6274, loss_bbox: 0.2187, loss_mask: 0.2320, loss: 0.6889 +2022-09-22 10:51:25,009 - mmdet - INFO - Epoch [10][4200/7330] lr: 1.000e-04, eta: 1 day, 0:23:02, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0326, loss_cls: 0.1735, acc: 93.8201, loss_bbox: 0.2111, loss_mask: 0.2274, loss: 0.6701 +2022-09-22 10:51:46,738 - mmdet - INFO - Epoch [10][4250/7330] lr: 1.000e-04, eta: 1 day, 0:22:25, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0351, loss_cls: 0.1735, acc: 93.7979, loss_bbox: 0.2163, loss_mask: 0.2295, loss: 0.6813 +2022-09-22 10:52:08,634 - mmdet - INFO - Epoch [10][4300/7330] lr: 1.000e-04, eta: 1 day, 0:21:50, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0364, loss_cls: 0.1921, acc: 93.2434, loss_bbox: 0.2327, loss_mask: 0.2354, loss: 0.7253 +2022-09-22 10:52:30,709 - mmdet - INFO - Epoch [10][4350/7330] lr: 1.000e-04, eta: 1 day, 0:21:17, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0320, loss_cls: 0.1766, acc: 93.6758, loss_bbox: 0.2198, loss_mask: 0.2227, loss: 0.6758 +2022-09-22 10:52:52,664 - mmdet - INFO - Epoch [10][4400/7330] lr: 1.000e-04, eta: 1 day, 0:20:43, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0370, loss_cls: 0.1903, acc: 93.1172, loss_bbox: 0.2311, loss_mask: 0.2269, loss: 0.7132 +2022-09-22 10:53:14,638 - mmdet - INFO - Epoch [10][4450/7330] lr: 1.000e-04, eta: 1 day, 0:20:10, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0363, loss_cls: 0.1919, acc: 93.1282, loss_bbox: 0.2323, loss_mask: 0.2338, loss: 0.7232 +2022-09-22 10:53:36,298 - mmdet - INFO - Epoch [10][4500/7330] lr: 1.000e-04, eta: 1 day, 0:19:31, time: 0.433, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0351, loss_cls: 0.1705, acc: 93.9143, loss_bbox: 0.2125, loss_mask: 0.2312, loss: 0.6767 +2022-09-22 10:53:58,006 - mmdet - INFO - Epoch [10][4550/7330] lr: 1.000e-04, eta: 1 day, 0:18:52, time: 0.433, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0353, loss_cls: 0.1862, acc: 93.2278, loss_bbox: 0.2294, loss_mask: 0.2291, loss: 0.7069 +2022-09-22 10:54:20,145 - mmdet - INFO - Epoch [10][4600/7330] lr: 1.000e-04, eta: 1 day, 0:18:22, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0356, loss_cls: 0.1899, acc: 93.2456, loss_bbox: 0.2285, loss_mask: 0.2231, loss: 0.7040 +2022-09-22 10:54:41,875 - mmdet - INFO - Epoch [10][4650/7330] lr: 1.000e-04, eta: 1 day, 0:17:45, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0328, loss_cls: 0.1838, acc: 93.5671, loss_bbox: 0.2218, loss_mask: 0.2239, loss: 0.6881 +2022-09-22 10:55:03,756 - mmdet - INFO - Epoch [10][4700/7330] lr: 1.000e-04, eta: 1 day, 0:17:11, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0346, loss_cls: 0.1898, acc: 93.2534, loss_bbox: 0.2296, loss_mask: 0.2279, loss: 0.7071 +2022-09-22 10:55:25,272 - mmdet - INFO - Epoch [10][4750/7330] lr: 1.000e-04, eta: 1 day, 0:16:30, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0327, loss_cls: 0.1658, acc: 94.0227, loss_bbox: 0.2081, loss_mask: 0.2278, loss: 0.6598 +2022-09-22 10:55:47,019 - mmdet - INFO - Epoch [10][4800/7330] lr: 1.000e-04, eta: 1 day, 0:15:53, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0324, loss_cls: 0.1831, acc: 93.3601, loss_bbox: 0.2203, loss_mask: 0.2258, loss: 0.6858 +2022-09-22 10:56:09,052 - mmdet - INFO - Epoch [10][4850/7330] lr: 1.000e-04, eta: 1 day, 0:15:22, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0347, loss_cls: 0.1846, acc: 93.5295, loss_bbox: 0.2250, loss_mask: 0.2300, loss: 0.6998 +2022-09-22 10:56:31,406 - mmdet - INFO - Epoch [10][4900/7330] lr: 1.000e-04, eta: 1 day, 0:14:54, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0354, loss_cls: 0.1864, acc: 93.2896, loss_bbox: 0.2314, loss_mask: 0.2365, loss: 0.7158 +2022-09-22 10:56:52,785 - mmdet - INFO - Epoch [10][4950/7330] lr: 1.000e-04, eta: 1 day, 0:14:13, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0328, loss_cls: 0.1846, acc: 93.3362, loss_bbox: 0.2254, loss_mask: 0.2307, loss: 0.6992 +2022-09-22 10:57:14,505 - mmdet - INFO - Epoch [10][5000/7330] lr: 1.000e-04, eta: 1 day, 0:13:36, time: 0.434, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0347, loss_cls: 0.1841, acc: 93.3455, loss_bbox: 0.2303, loss_mask: 0.2318, loss: 0.7069 +2022-09-22 10:57:35,938 - mmdet - INFO - Epoch [10][5050/7330] lr: 1.000e-04, eta: 1 day, 0:12:55, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0329, loss_cls: 0.1801, acc: 93.5227, loss_bbox: 0.2178, loss_mask: 0.2248, loss: 0.6829 +2022-09-22 10:57:58,130 - mmdet - INFO - Epoch [10][5100/7330] lr: 1.000e-04, eta: 1 day, 0:12:26, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0338, loss_cls: 0.1828, acc: 93.4724, loss_bbox: 0.2229, loss_mask: 0.2287, loss: 0.6938 +2022-09-22 10:58:20,154 - mmdet - INFO - Epoch [10][5150/7330] lr: 1.000e-04, eta: 1 day, 0:11:55, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0351, loss_cls: 0.1841, acc: 93.4111, loss_bbox: 0.2228, loss_mask: 0.2321, loss: 0.7011 +2022-09-22 10:58:42,080 - mmdet - INFO - Epoch [10][5200/7330] lr: 1.000e-04, eta: 1 day, 0:11:22, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0358, loss_cls: 0.1841, acc: 93.3933, loss_bbox: 0.2283, loss_mask: 0.2285, loss: 0.7038 +2022-09-22 10:59:03,507 - mmdet - INFO - Epoch [10][5250/7330] lr: 1.000e-04, eta: 1 day, 0:10:41, time: 0.429, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0348, loss_cls: 0.1793, acc: 93.5642, loss_bbox: 0.2196, loss_mask: 0.2243, loss: 0.6833 +2022-09-22 10:59:25,367 - mmdet - INFO - Epoch [10][5300/7330] lr: 1.000e-04, eta: 1 day, 0:10:08, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0341, loss_cls: 0.1870, acc: 93.3032, loss_bbox: 0.2293, loss_mask: 0.2292, loss: 0.7071 +2022-09-22 10:59:47,372 - mmdet - INFO - Epoch [10][5350/7330] lr: 1.000e-04, eta: 1 day, 0:09:37, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0360, loss_cls: 0.1874, acc: 93.3792, loss_bbox: 0.2284, loss_mask: 0.2304, loss: 0.7110 +2022-09-22 11:00:08,931 - mmdet - INFO - Epoch [10][5400/7330] lr: 1.000e-04, eta: 1 day, 0:08:58, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0342, loss_cls: 0.1811, acc: 93.5693, loss_bbox: 0.2189, loss_mask: 0.2289, loss: 0.6896 +2022-09-22 11:00:30,847 - mmdet - INFO - Epoch [10][5450/7330] lr: 1.000e-04, eta: 1 day, 0:08:26, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0337, loss_cls: 0.1825, acc: 93.4868, loss_bbox: 0.2225, loss_mask: 0.2302, loss: 0.6948 +2022-09-22 11:00:52,368 - mmdet - INFO - Epoch [10][5500/7330] lr: 1.000e-04, eta: 1 day, 0:07:47, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0353, loss_cls: 0.1711, acc: 93.7954, loss_bbox: 0.2154, loss_mask: 0.2344, loss: 0.6838 +2022-09-22 11:01:14,174 - mmdet - INFO - Epoch [10][5550/7330] lr: 1.000e-04, eta: 1 day, 0:07:13, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0343, loss_cls: 0.1813, acc: 93.5293, loss_bbox: 0.2185, loss_mask: 0.2271, loss: 0.6888 +2022-09-22 11:01:35,945 - mmdet - INFO - Epoch [10][5600/7330] lr: 1.000e-04, eta: 1 day, 0:06:39, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0326, loss_cls: 0.1759, acc: 93.5762, loss_bbox: 0.2183, loss_mask: 0.2286, loss: 0.6828 +2022-09-22 11:01:58,045 - mmdet - INFO - Epoch [10][5650/7330] lr: 1.000e-04, eta: 1 day, 0:06:09, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0382, loss_cls: 0.1858, acc: 93.4177, loss_bbox: 0.2291, loss_mask: 0.2316, loss: 0.7131 +2022-09-22 11:02:19,561 - mmdet - INFO - Epoch [10][5700/7330] lr: 1.000e-04, eta: 1 day, 0:05:31, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0335, loss_cls: 0.1763, acc: 93.8035, loss_bbox: 0.2107, loss_mask: 0.2201, loss: 0.6666 +2022-09-22 11:02:41,312 - mmdet - INFO - Epoch [10][5750/7330] lr: 1.000e-04, eta: 1 day, 0:04:57, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0332, loss_cls: 0.1826, acc: 93.5063, loss_bbox: 0.2204, loss_mask: 0.2294, loss: 0.6923 +2022-09-22 11:03:03,005 - mmdet - INFO - Epoch [10][5800/7330] lr: 1.000e-04, eta: 1 day, 0:04:22, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0355, loss_cls: 0.1905, acc: 93.3342, loss_bbox: 0.2278, loss_mask: 0.2347, loss: 0.7168 +2022-09-22 11:03:24,998 - mmdet - INFO - Epoch [10][5850/7330] lr: 1.000e-04, eta: 1 day, 0:03:51, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0345, loss_cls: 0.1797, acc: 93.6465, loss_bbox: 0.2123, loss_mask: 0.2260, loss: 0.6789 +2022-09-22 11:03:46,331 - mmdet - INFO - Epoch [10][5900/7330] lr: 1.000e-04, eta: 1 day, 0:03:10, time: 0.426, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0337, loss_cls: 0.1752, acc: 93.8271, loss_bbox: 0.2095, loss_mask: 0.2295, loss: 0.6750 +2022-09-22 11:04:08,070 - mmdet - INFO - Epoch [10][5950/7330] lr: 1.000e-04, eta: 1 day, 0:02:36, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0353, loss_cls: 0.1876, acc: 93.3179, loss_bbox: 0.2266, loss_mask: 0.2359, loss: 0.7155 +2022-09-22 11:04:29,822 - mmdet - INFO - Epoch [10][6000/7330] lr: 1.000e-04, eta: 1 day, 0:02:02, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0343, loss_cls: 0.1889, acc: 93.2505, loss_bbox: 0.2266, loss_mask: 0.2298, loss: 0.7071 +2022-09-22 11:04:51,365 - mmdet - INFO - Epoch [10][6050/7330] lr: 1.000e-04, eta: 1 day, 0:01:25, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0329, loss_cls: 0.1757, acc: 93.7654, loss_bbox: 0.2177, loss_mask: 0.2192, loss: 0.6699 +2022-09-22 11:05:12,873 - mmdet - INFO - Epoch [10][6100/7330] lr: 1.000e-04, eta: 1 day, 0:00:48, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0335, loss_cls: 0.1904, acc: 93.2102, loss_bbox: 0.2269, loss_mask: 0.2322, loss: 0.7078 +2022-09-22 11:05:34,640 - mmdet - INFO - Epoch [10][6150/7330] lr: 1.000e-04, eta: 1 day, 0:00:15, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0331, loss_cls: 0.1813, acc: 93.4248, loss_bbox: 0.2221, loss_mask: 0.2237, loss: 0.6849 +2022-09-22 11:05:56,389 - mmdet - INFO - Epoch [10][6200/7330] lr: 1.000e-04, eta: 23:59:41, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0324, loss_cls: 0.1698, acc: 93.9492, loss_bbox: 0.2059, loss_mask: 0.2261, loss: 0.6591 +2022-09-22 11:06:18,010 - mmdet - INFO - Epoch [10][6250/7330] lr: 1.000e-04, eta: 23:59:06, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0344, loss_cls: 0.1786, acc: 93.7092, loss_bbox: 0.2192, loss_mask: 0.2282, loss: 0.6875 +2022-09-22 11:06:39,868 - mmdet - INFO - Epoch [10][6300/7330] lr: 1.000e-04, eta: 23:58:34, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0357, loss_cls: 0.1791, acc: 93.5273, loss_bbox: 0.2225, loss_mask: 0.2328, loss: 0.6960 +2022-09-22 11:07:01,785 - mmdet - INFO - Epoch [10][6350/7330] lr: 1.000e-04, eta: 23:58:03, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0317, loss_cls: 0.1748, acc: 93.8396, loss_bbox: 0.2119, loss_mask: 0.2236, loss: 0.6683 +2022-09-22 11:07:23,861 - mmdet - INFO - Epoch [10][6400/7330] lr: 1.000e-04, eta: 23:57:34, time: 0.441, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0343, loss_cls: 0.1816, acc: 93.4553, loss_bbox: 0.2231, loss_mask: 0.2322, loss: 0.6976 +2022-09-22 11:07:45,822 - mmdet - INFO - Epoch [10][6450/7330] lr: 1.000e-04, eta: 23:57:03, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0338, loss_cls: 0.1784, acc: 93.7029, loss_bbox: 0.2161, loss_mask: 0.2282, loss: 0.6851 +2022-09-22 11:08:07,400 - mmdet - INFO - Epoch [10][6500/7330] lr: 1.000e-04, eta: 23:56:28, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0357, loss_cls: 0.1852, acc: 93.3816, loss_bbox: 0.2302, loss_mask: 0.2365, loss: 0.7159 +2022-09-22 11:08:29,199 - mmdet - INFO - Epoch [10][6550/7330] lr: 1.000e-04, eta: 23:55:55, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0334, loss_cls: 0.1772, acc: 93.6943, loss_bbox: 0.2167, loss_mask: 0.2265, loss: 0.6800 +2022-09-22 11:08:50,365 - mmdet - INFO - Epoch [10][6600/7330] lr: 1.000e-04, eta: 23:55:15, time: 0.424, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0338, loss_cls: 0.1812, acc: 93.4980, loss_bbox: 0.2215, loss_mask: 0.2240, loss: 0.6870 +2022-09-22 11:09:11,929 - mmdet - INFO - Epoch [10][6650/7330] lr: 1.000e-04, eta: 23:54:40, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0332, loss_cls: 0.1833, acc: 93.4634, loss_bbox: 0.2237, loss_mask: 0.2263, loss: 0.6929 +2022-09-22 11:09:33,405 - mmdet - INFO - Epoch [10][6700/7330] lr: 1.000e-04, eta: 23:54:03, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0345, loss_cls: 0.1752, acc: 93.6562, loss_bbox: 0.2172, loss_mask: 0.2287, loss: 0.6820 +2022-09-22 11:09:55,217 - mmdet - INFO - Epoch [10][6750/7330] lr: 1.000e-04, eta: 23:53:31, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0366, loss_cls: 0.1852, acc: 93.3403, loss_bbox: 0.2312, loss_mask: 0.2364, loss: 0.7182 +2022-09-22 11:10:16,584 - mmdet - INFO - Epoch [10][6800/7330] lr: 1.000e-04, eta: 23:52:53, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0327, loss_cls: 0.1796, acc: 93.6248, loss_bbox: 0.2222, loss_mask: 0.2272, loss: 0.6881 +2022-09-22 11:10:38,109 - mmdet - INFO - Epoch [10][6850/7330] lr: 1.000e-04, eta: 23:52:18, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0366, loss_cls: 0.1837, acc: 93.3389, loss_bbox: 0.2305, loss_mask: 0.2356, loss: 0.7145 +2022-09-22 11:10:59,780 - mmdet - INFO - Epoch [10][6900/7330] lr: 1.000e-04, eta: 23:51:44, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0328, loss_cls: 0.1760, acc: 93.7981, loss_bbox: 0.2110, loss_mask: 0.2285, loss: 0.6735 +2022-09-22 11:11:21,281 - mmdet - INFO - Epoch [10][6950/7330] lr: 1.000e-04, eta: 23:51:08, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0330, loss_cls: 0.1770, acc: 93.7756, loss_bbox: 0.2124, loss_mask: 0.2235, loss: 0.6721 +2022-09-22 11:11:42,508 - mmdet - INFO - Epoch [10][7000/7330] lr: 1.000e-04, eta: 23:50:29, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0340, loss_cls: 0.1782, acc: 93.6279, loss_bbox: 0.2224, loss_mask: 0.2269, loss: 0.6881 +2022-09-22 11:12:04,252 - mmdet - INFO - Epoch [10][7050/7330] lr: 1.000e-04, eta: 23:49:57, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0336, loss_cls: 0.1763, acc: 93.6880, loss_bbox: 0.2186, loss_mask: 0.2334, loss: 0.6884 +2022-09-22 11:12:25,960 - mmdet - INFO - Epoch [10][7100/7330] lr: 1.000e-04, eta: 23:49:25, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0322, loss_cls: 0.1699, acc: 94.0403, loss_bbox: 0.2075, loss_mask: 0.2222, loss: 0.6580 +2022-09-22 11:12:47,728 - mmdet - INFO - Epoch [10][7150/7330] lr: 1.000e-04, eta: 23:48:53, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0337, loss_cls: 0.1735, acc: 93.7788, loss_bbox: 0.2173, loss_mask: 0.2249, loss: 0.6793 +2022-09-22 11:13:09,596 - mmdet - INFO - Epoch [10][7200/7330] lr: 1.000e-04, eta: 23:48:22, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0322, loss_cls: 0.1717, acc: 93.8430, loss_bbox: 0.2141, loss_mask: 0.2231, loss: 0.6650 +2022-09-22 11:13:30,942 - mmdet - INFO - Epoch [10][7250/7330] lr: 1.000e-04, eta: 23:47:45, time: 0.427, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0331, loss_cls: 0.1770, acc: 93.7439, loss_bbox: 0.2164, loss_mask: 0.2324, loss: 0.6848 +2022-09-22 11:13:52,730 - mmdet - INFO - Epoch [10][7300/7330] lr: 1.000e-04, eta: 23:47:14, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0324, loss_cls: 0.1773, acc: 93.7405, loss_bbox: 0.2152, loss_mask: 0.2224, loss: 0.6716 +2022-09-22 11:14:14,556 - mmdet - INFO - Saving checkpoint at 10 epochs +2022-09-22 11:16:07,793 - mmdet - INFO - Evaluating bbox... +2022-09-22 11:16:38,722 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.466 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.696 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.513 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.313 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.506 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.602 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.602 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.602 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.439 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.642 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.742 + +2022-09-22 11:16:38,722 - mmdet - INFO - Evaluating segm... +2022-09-22 11:17:10,833 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.419 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.663 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.451 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.235 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.455 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.613 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.547 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.547 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.547 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.379 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.587 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.705 + +2022-09-22 11:17:11,707 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 11:17:11,711 - mmdet - INFO - Epoch(val) [10][625] bbox_mAP: 0.4660, bbox_mAP_50: 0.6960, bbox_mAP_75: 0.5130, bbox_mAP_s: 0.3130, bbox_mAP_m: 0.5060, bbox_mAP_l: 0.6040, bbox_mAP_copypaste: 0.466 0.696 0.513 0.313 0.506 0.604, segm_mAP: 0.4190, segm_mAP_50: 0.6630, segm_mAP_75: 0.4510, segm_mAP_s: 0.2350, segm_mAP_m: 0.4550, segm_mAP_l: 0.6130, segm_mAP_copypaste: 0.419 0.663 0.451 0.235 0.455 0.613 +2022-09-22 11:20:51,114 - mmdet - INFO - Epoch [11][50/7330] lr: 1.000e-04, eta: 1 day, 0:26:13, time: 4.387, data_time: 3.939, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0350, loss_cls: 0.1620, acc: 94.0942, loss_bbox: 0.2054, loss_mask: 0.2181, loss: 0.6442 +2022-09-22 11:21:13,207 - mmdet - INFO - Epoch [11][100/7330] lr: 1.000e-04, eta: 1 day, 0:25:38, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0349, loss_cls: 0.1819, acc: 93.4802, loss_bbox: 0.2220, loss_mask: 0.2237, loss: 0.6871 +2022-09-22 11:21:35,283 - mmdet - INFO - Epoch [11][150/7330] lr: 1.000e-04, eta: 1 day, 0:25:01, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0332, loss_cls: 0.1746, acc: 93.6523, loss_bbox: 0.2155, loss_mask: 0.2283, loss: 0.6782 +2022-09-22 11:21:57,374 - mmdet - INFO - Epoch [11][200/7330] lr: 1.000e-04, eta: 1 day, 0:24:26, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0355, loss_cls: 0.1814, acc: 93.4443, loss_bbox: 0.2229, loss_mask: 0.2351, loss: 0.7013 +2022-09-22 11:22:19,679 - mmdet - INFO - Epoch [11][250/7330] lr: 1.000e-04, eta: 1 day, 0:23:52, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0317, loss_cls: 0.1751, acc: 93.8293, loss_bbox: 0.2116, loss_mask: 0.2242, loss: 0.6666 +2022-09-22 11:22:42,767 - mmdet - INFO - Epoch [11][300/7330] lr: 1.000e-04, eta: 1 day, 0:23:30, time: 0.462, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0382, loss_cls: 0.1932, acc: 93.0867, loss_bbox: 0.2360, loss_mask: 0.2256, loss: 0.7216 +2022-09-22 11:23:04,514 - mmdet - INFO - Epoch [11][350/7330] lr: 1.000e-04, eta: 1 day, 0:22:50, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0311, loss_cls: 0.1818, acc: 93.4563, loss_bbox: 0.2244, loss_mask: 0.2308, loss: 0.6926 +2022-09-22 11:23:26,464 - mmdet - INFO - Epoch [11][400/7330] lr: 1.000e-04, eta: 1 day, 0:22:13, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0317, loss_cls: 0.1697, acc: 94.0332, loss_bbox: 0.2102, loss_mask: 0.2243, loss: 0.6607 +2022-09-22 11:23:48,548 - mmdet - INFO - Epoch [11][450/7330] lr: 1.000e-04, eta: 1 day, 0:21:37, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0342, loss_cls: 0.1831, acc: 93.4868, loss_bbox: 0.2213, loss_mask: 0.2296, loss: 0.6953 +2022-09-22 11:24:10,378 - mmdet - INFO - Epoch [11][500/7330] lr: 1.000e-04, eta: 1 day, 0:20:59, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0326, loss_cls: 0.1771, acc: 93.6638, loss_bbox: 0.2203, loss_mask: 0.2239, loss: 0.6780 +2022-09-22 11:24:32,295 - mmdet - INFO - Epoch [11][550/7330] lr: 1.000e-04, eta: 1 day, 0:20:21, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0322, loss_cls: 0.1628, acc: 94.1746, loss_bbox: 0.2087, loss_mask: 0.2206, loss: 0.6493 +2022-09-22 11:24:54,533 - mmdet - INFO - Epoch [11][600/7330] lr: 1.000e-04, eta: 1 day, 0:19:48, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0355, loss_cls: 0.1787, acc: 93.6150, loss_bbox: 0.2220, loss_mask: 0.2212, loss: 0.6831 +2022-09-22 11:25:15,697 - mmdet - INFO - Epoch [11][650/7330] lr: 1.000e-04, eta: 1 day, 0:19:02, time: 0.423, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0321, loss_cls: 0.1743, acc: 93.6511, loss_bbox: 0.2214, loss_mask: 0.2254, loss: 0.6757 +2022-09-22 11:25:37,441 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 11:25:37,490 - mmdet - INFO - Epoch [11][700/7330] lr: 1.000e-04, eta: 1 day, 0:18:23, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0330, loss_cls: 0.1798, acc: 93.5784, loss_bbox: 0.2179, loss_mask: 0.2223, loss: 0.6794 +2022-09-22 11:25:58,916 - mmdet - INFO - Epoch [11][750/7330] lr: 1.000e-04, eta: 1 day, 0:17:40, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0328, loss_cls: 0.1684, acc: 93.9492, loss_bbox: 0.2100, loss_mask: 0.2157, loss: 0.6527 +2022-09-22 11:26:20,500 - mmdet - INFO - Epoch [11][800/7330] lr: 1.000e-04, eta: 1 day, 0:16:59, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0335, loss_cls: 0.1731, acc: 93.8296, loss_bbox: 0.2123, loss_mask: 0.2255, loss: 0.6708 +2022-09-22 11:26:41,695 - mmdet - INFO - Epoch [11][850/7330] lr: 1.000e-04, eta: 1 day, 0:16:14, time: 0.424, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0362, loss_cls: 0.1779, acc: 93.6238, loss_bbox: 0.2203, loss_mask: 0.2287, loss: 0.6918 +2022-09-22 11:27:03,317 - mmdet - INFO - Epoch [11][900/7330] lr: 1.000e-04, eta: 1 day, 0:15:34, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0339, loss_cls: 0.1745, acc: 93.7351, loss_bbox: 0.2219, loss_mask: 0.2239, loss: 0.6797 +2022-09-22 11:27:24,704 - mmdet - INFO - Epoch [11][950/7330] lr: 1.000e-04, eta: 1 day, 0:14:51, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0334, loss_cls: 0.1786, acc: 93.6665, loss_bbox: 0.2213, loss_mask: 0.2273, loss: 0.6890 +2022-09-22 11:27:46,122 - mmdet - INFO - Epoch [11][1000/7330] lr: 1.000e-04, eta: 1 day, 0:14:09, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0311, loss_cls: 0.1666, acc: 93.9993, loss_bbox: 0.2073, loss_mask: 0.2211, loss: 0.6511 +2022-09-22 11:28:07,920 - mmdet - INFO - Epoch [11][1050/7330] lr: 1.000e-04, eta: 1 day, 0:13:31, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0310, loss_cls: 0.1696, acc: 93.8684, loss_bbox: 0.2163, loss_mask: 0.2298, loss: 0.6700 +2022-09-22 11:28:29,655 - mmdet - INFO - Epoch [11][1100/7330] lr: 1.000e-04, eta: 1 day, 0:12:53, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0338, loss_cls: 0.1804, acc: 93.4702, loss_bbox: 0.2228, loss_mask: 0.2272, loss: 0.6895 +2022-09-22 11:28:52,055 - mmdet - INFO - Epoch [11][1150/7330] lr: 1.000e-04, eta: 1 day, 0:12:22, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0348, loss_cls: 0.1790, acc: 93.5149, loss_bbox: 0.2169, loss_mask: 0.2286, loss: 0.6840 +2022-09-22 11:29:13,603 - mmdet - INFO - Epoch [11][1200/7330] lr: 1.000e-04, eta: 1 day, 0:11:42, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0331, loss_cls: 0.1727, acc: 93.7910, loss_bbox: 0.2165, loss_mask: 0.2212, loss: 0.6709 +2022-09-22 11:29:35,516 - mmdet - INFO - Epoch [11][1250/7330] lr: 1.000e-04, eta: 1 day, 0:11:06, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0343, loss_cls: 0.1830, acc: 93.5300, loss_bbox: 0.2197, loss_mask: 0.2306, loss: 0.6939 +2022-09-22 11:29:57,184 - mmdet - INFO - Epoch [11][1300/7330] lr: 1.000e-04, eta: 1 day, 0:10:27, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0331, loss_cls: 0.1780, acc: 93.7207, loss_bbox: 0.2168, loss_mask: 0.2233, loss: 0.6765 +2022-09-22 11:30:18,572 - mmdet - INFO - Epoch [11][1350/7330] lr: 1.000e-04, eta: 1 day, 0:09:46, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0317, loss_cls: 0.1798, acc: 93.6050, loss_bbox: 0.2186, loss_mask: 0.2218, loss: 0.6764 +2022-09-22 11:30:40,502 - mmdet - INFO - Epoch [11][1400/7330] lr: 1.000e-04, eta: 1 day, 0:09:10, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0341, loss_cls: 0.1698, acc: 93.8811, loss_bbox: 0.2108, loss_mask: 0.2241, loss: 0.6644 +2022-09-22 11:31:02,154 - mmdet - INFO - Epoch [11][1450/7330] lr: 1.000e-04, eta: 1 day, 0:08:32, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0348, loss_cls: 0.1767, acc: 93.7039, loss_bbox: 0.2205, loss_mask: 0.2268, loss: 0.6857 +2022-09-22 11:31:24,047 - mmdet - INFO - Epoch [11][1500/7330] lr: 1.000e-04, eta: 1 day, 0:07:56, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0337, loss_cls: 0.1790, acc: 93.5359, loss_bbox: 0.2230, loss_mask: 0.2266, loss: 0.6867 +2022-09-22 11:31:45,685 - mmdet - INFO - Epoch [11][1550/7330] lr: 1.000e-04, eta: 1 day, 0:07:17, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0323, loss_cls: 0.1806, acc: 93.4561, loss_bbox: 0.2208, loss_mask: 0.2261, loss: 0.6839 +2022-09-22 11:32:07,715 - mmdet - INFO - Epoch [11][1600/7330] lr: 1.000e-04, eta: 1 day, 0:06:43, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0333, loss_cls: 0.1791, acc: 93.5254, loss_bbox: 0.2271, loss_mask: 0.2215, loss: 0.6871 +2022-09-22 11:32:29,033 - mmdet - INFO - Epoch [11][1650/7330] lr: 1.000e-04, eta: 1 day, 0:06:01, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0348, loss_cls: 0.1892, acc: 93.2529, loss_bbox: 0.2255, loss_mask: 0.2256, loss: 0.7016 +2022-09-22 11:32:50,793 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 11:32:50,796 - mmdet - INFO - Epoch [11][1700/7330] lr: 1.000e-04, eta: 1 day, 0:05:25, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0324, loss_cls: 0.1788, acc: 93.6838, loss_bbox: 0.2154, loss_mask: 0.2300, loss: 0.6812 +2022-09-22 11:33:12,218 - mmdet - INFO - Epoch [11][1750/7330] lr: 1.000e-04, eta: 1 day, 0:04:44, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0350, loss_cls: 0.1828, acc: 93.4802, loss_bbox: 0.2191, loss_mask: 0.2299, loss: 0.6925 +2022-09-22 11:33:34,120 - mmdet - INFO - Epoch [11][1800/7330] lr: 1.000e-04, eta: 1 day, 0:04:09, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0334, loss_cls: 0.1836, acc: 93.4678, loss_bbox: 0.2161, loss_mask: 0.2299, loss: 0.6894 +2022-09-22 11:33:56,022 - mmdet - INFO - Epoch [11][1850/7330] lr: 1.000e-04, eta: 1 day, 0:03:34, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0333, loss_cls: 0.1742, acc: 93.7859, loss_bbox: 0.2158, loss_mask: 0.2278, loss: 0.6761 +2022-09-22 11:34:17,788 - mmdet - INFO - Epoch [11][1900/7330] lr: 1.000e-04, eta: 1 day, 0:02:58, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0319, loss_cls: 0.1775, acc: 93.7800, loss_bbox: 0.2185, loss_mask: 0.2286, loss: 0.6816 +2022-09-22 11:34:39,615 - mmdet - INFO - Epoch [11][1950/7330] lr: 1.000e-04, eta: 1 day, 0:02:22, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0350, loss_cls: 0.1851, acc: 93.3389, loss_bbox: 0.2247, loss_mask: 0.2282, loss: 0.7015 +2022-09-22 11:35:01,643 - mmdet - INFO - Epoch [11][2000/7330] lr: 1.000e-04, eta: 1 day, 0:01:49, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0325, loss_cls: 0.1713, acc: 93.8577, loss_bbox: 0.2154, loss_mask: 0.2304, loss: 0.6779 +2022-09-22 11:35:23,892 - mmdet - INFO - Epoch [11][2050/7330] lr: 1.000e-04, eta: 1 day, 0:01:18, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0381, loss_cls: 0.1911, acc: 93.1665, loss_bbox: 0.2327, loss_mask: 0.2307, loss: 0.7212 +2022-09-22 11:35:45,736 - mmdet - INFO - Epoch [11][2100/7330] lr: 1.000e-04, eta: 1 day, 0:00:43, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0330, loss_cls: 0.1705, acc: 93.7847, loss_bbox: 0.2137, loss_mask: 0.2226, loss: 0.6647 +2022-09-22 11:36:07,668 - mmdet - INFO - Epoch [11][2150/7330] lr: 1.000e-04, eta: 1 day, 0:00:09, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0346, loss_cls: 0.1808, acc: 93.6597, loss_bbox: 0.2169, loss_mask: 0.2260, loss: 0.6859 +2022-09-22 11:36:29,476 - mmdet - INFO - Epoch [11][2200/7330] lr: 1.000e-04, eta: 23:59:33, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0325, loss_cls: 0.1785, acc: 93.6821, loss_bbox: 0.2205, loss_mask: 0.2239, loss: 0.6819 +2022-09-22 11:36:51,020 - mmdet - INFO - Epoch [11][2250/7330] lr: 1.000e-04, eta: 23:58:55, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0318, loss_cls: 0.1754, acc: 93.8018, loss_bbox: 0.2114, loss_mask: 0.2233, loss: 0.6653 +2022-09-22 11:37:12,859 - mmdet - INFO - Epoch [11][2300/7330] lr: 1.000e-04, eta: 23:58:20, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0340, loss_cls: 0.1762, acc: 93.5525, loss_bbox: 0.2203, loss_mask: 0.2237, loss: 0.6791 +2022-09-22 11:37:34,877 - mmdet - INFO - Epoch [11][2350/7330] lr: 1.000e-04, eta: 23:57:47, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0360, loss_cls: 0.1876, acc: 93.1980, loss_bbox: 0.2335, loss_mask: 0.2319, loss: 0.7167 +2022-09-22 11:37:56,320 - mmdet - INFO - Epoch [11][2400/7330] lr: 1.000e-04, eta: 23:57:08, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0341, loss_cls: 0.1743, acc: 93.7688, loss_bbox: 0.2162, loss_mask: 0.2246, loss: 0.6768 +2022-09-22 11:38:17,872 - mmdet - INFO - Epoch [11][2450/7330] lr: 1.000e-04, eta: 23:56:30, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0305, loss_cls: 0.1705, acc: 93.9253, loss_bbox: 0.2088, loss_mask: 0.2169, loss: 0.6508 +2022-09-22 11:38:39,902 - mmdet - INFO - Epoch [11][2500/7330] lr: 1.000e-04, eta: 23:55:57, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0344, loss_cls: 0.1778, acc: 93.6172, loss_bbox: 0.2155, loss_mask: 0.2282, loss: 0.6839 +2022-09-22 11:39:01,786 - mmdet - INFO - Epoch [11][2550/7330] lr: 1.000e-04, eta: 23:55:23, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0310, loss_cls: 0.1648, acc: 94.0510, loss_bbox: 0.2066, loss_mask: 0.2183, loss: 0.6428 +2022-09-22 11:39:23,400 - mmdet - INFO - Epoch [11][2600/7330] lr: 1.000e-04, eta: 23:54:46, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0336, loss_cls: 0.1775, acc: 93.6487, loss_bbox: 0.2131, loss_mask: 0.2175, loss: 0.6660 +2022-09-22 11:39:45,315 - mmdet - INFO - Epoch [11][2650/7330] lr: 1.000e-04, eta: 23:54:13, time: 0.439, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0353, loss_cls: 0.1786, acc: 93.5620, loss_bbox: 0.2206, loss_mask: 0.2276, loss: 0.6886 +2022-09-22 11:40:06,760 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 11:40:06,761 - mmdet - INFO - Epoch [11][2700/7330] lr: 1.000e-04, eta: 23:53:34, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0313, loss_cls: 0.1748, acc: 93.7585, loss_bbox: 0.2169, loss_mask: 0.2203, loss: 0.6673 +2022-09-22 11:40:28,889 - mmdet - INFO - Epoch [11][2750/7330] lr: 1.000e-04, eta: 23:53:03, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0341, loss_cls: 0.1816, acc: 93.3845, loss_bbox: 0.2282, loss_mask: 0.2299, loss: 0.7000 +2022-09-22 11:40:50,612 - mmdet - INFO - Epoch [11][2800/7330] lr: 1.000e-04, eta: 23:52:28, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0340, loss_cls: 0.1855, acc: 93.4805, loss_bbox: 0.2174, loss_mask: 0.2281, loss: 0.6934 +2022-09-22 11:41:12,341 - mmdet - INFO - Epoch [11][2850/7330] lr: 1.000e-04, eta: 23:51:52, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0329, loss_cls: 0.1722, acc: 93.7388, loss_bbox: 0.2153, loss_mask: 0.2230, loss: 0.6675 +2022-09-22 11:41:33,849 - mmdet - INFO - Epoch [11][2900/7330] lr: 1.000e-04, eta: 23:51:15, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0344, loss_cls: 0.1709, acc: 93.8149, loss_bbox: 0.2188, loss_mask: 0.2272, loss: 0.6788 +2022-09-22 11:41:55,424 - mmdet - INFO - Epoch [11][2950/7330] lr: 1.000e-04, eta: 23:50:38, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0344, loss_cls: 0.1884, acc: 93.1487, loss_bbox: 0.2301, loss_mask: 0.2335, loss: 0.7130 +2022-09-22 11:42:16,795 - mmdet - INFO - Epoch [11][3000/7330] lr: 1.000e-04, eta: 23:49:59, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0349, loss_cls: 0.1867, acc: 93.4102, loss_bbox: 0.2256, loss_mask: 0.2280, loss: 0.6993 +2022-09-22 11:42:38,586 - mmdet - INFO - Epoch [11][3050/7330] lr: 1.000e-04, eta: 23:49:25, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0332, loss_cls: 0.1776, acc: 93.5881, loss_bbox: 0.2213, loss_mask: 0.2240, loss: 0.6802 +2022-09-22 11:43:00,370 - mmdet - INFO - Epoch [11][3100/7330] lr: 1.000e-04, eta: 23:48:51, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0313, loss_cls: 0.1749, acc: 93.7629, loss_bbox: 0.2110, loss_mask: 0.2208, loss: 0.6655 +2022-09-22 11:43:21,865 - mmdet - INFO - Epoch [11][3150/7330] lr: 1.000e-04, eta: 23:48:13, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0309, loss_cls: 0.1731, acc: 93.8284, loss_bbox: 0.2114, loss_mask: 0.2233, loss: 0.6632 +2022-09-22 11:43:43,376 - mmdet - INFO - Epoch [11][3200/7330] lr: 1.000e-04, eta: 23:47:36, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0337, loss_cls: 0.1712, acc: 93.9736, loss_bbox: 0.2062, loss_mask: 0.2290, loss: 0.6657 +2022-09-22 11:44:05,226 - mmdet - INFO - Epoch [11][3250/7330] lr: 1.000e-04, eta: 23:47:03, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0335, loss_cls: 0.1746, acc: 93.7397, loss_bbox: 0.2169, loss_mask: 0.2283, loss: 0.6786 +2022-09-22 11:44:27,034 - mmdet - INFO - Epoch [11][3300/7330] lr: 1.000e-04, eta: 23:46:29, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0320, loss_cls: 0.1683, acc: 93.9407, loss_bbox: 0.2085, loss_mask: 0.2228, loss: 0.6558 +2022-09-22 11:44:48,987 - mmdet - INFO - Epoch [11][3350/7330] lr: 1.000e-04, eta: 23:45:57, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0356, loss_cls: 0.1785, acc: 93.4934, loss_bbox: 0.2244, loss_mask: 0.2317, loss: 0.6986 +2022-09-22 11:45:10,554 - mmdet - INFO - Epoch [11][3400/7330] lr: 1.000e-04, eta: 23:45:21, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0363, loss_cls: 0.1835, acc: 93.3394, loss_bbox: 0.2307, loss_mask: 0.2306, loss: 0.7087 +2022-09-22 11:45:31,878 - mmdet - INFO - Epoch [11][3450/7330] lr: 1.000e-04, eta: 23:44:42, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0341, loss_cls: 0.1804, acc: 93.5596, loss_bbox: 0.2209, loss_mask: 0.2261, loss: 0.6887 +2022-09-22 11:45:53,312 - mmdet - INFO - Epoch [11][3500/7330] lr: 1.000e-04, eta: 23:44:05, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0315, loss_cls: 0.1704, acc: 94.0098, loss_bbox: 0.2071, loss_mask: 0.2219, loss: 0.6537 +2022-09-22 11:46:15,350 - mmdet - INFO - Epoch [11][3550/7330] lr: 1.000e-04, eta: 23:43:34, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0341, loss_cls: 0.1835, acc: 93.5144, loss_bbox: 0.2207, loss_mask: 0.2259, loss: 0.6909 +2022-09-22 11:46:36,841 - mmdet - INFO - Epoch [11][3600/7330] lr: 1.000e-04, eta: 23:42:57, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0322, loss_cls: 0.1668, acc: 94.0747, loss_bbox: 0.2060, loss_mask: 0.2208, loss: 0.6510 +2022-09-22 11:46:58,693 - mmdet - INFO - Epoch [11][3650/7330] lr: 1.000e-04, eta: 23:42:25, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0353, loss_cls: 0.1777, acc: 93.5198, loss_bbox: 0.2199, loss_mask: 0.2309, loss: 0.6921 +2022-09-22 11:47:20,477 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 11:47:20,479 - mmdet - INFO - Epoch [11][3700/7330] lr: 1.000e-04, eta: 23:41:51, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0347, loss_cls: 0.1775, acc: 93.6687, loss_bbox: 0.2234, loss_mask: 0.2343, loss: 0.6967 +2022-09-22 11:47:42,284 - mmdet - INFO - Epoch [11][3750/7330] lr: 1.000e-04, eta: 23:41:18, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0353, loss_cls: 0.1871, acc: 93.4197, loss_bbox: 0.2261, loss_mask: 0.2288, loss: 0.7050 +2022-09-22 11:48:04,751 - mmdet - INFO - Epoch [11][3800/7330] lr: 1.000e-04, eta: 23:40:51, time: 0.448, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0358, loss_cls: 0.1778, acc: 93.6262, loss_bbox: 0.2243, loss_mask: 0.2313, loss: 0.6971 +2022-09-22 11:48:26,164 - mmdet - INFO - Epoch [11][3850/7330] lr: 1.000e-04, eta: 23:40:14, time: 0.429, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0350, loss_cls: 0.1840, acc: 93.4719, loss_bbox: 0.2260, loss_mask: 0.2315, loss: 0.7038 +2022-09-22 11:48:47,565 - mmdet - INFO - Epoch [11][3900/7330] lr: 1.000e-04, eta: 23:39:37, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0326, loss_cls: 0.1767, acc: 93.7544, loss_bbox: 0.2147, loss_mask: 0.2242, loss: 0.6739 +2022-09-22 11:49:09,127 - mmdet - INFO - Epoch [11][3950/7330] lr: 1.000e-04, eta: 23:39:02, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0331, loss_cls: 0.1731, acc: 93.8530, loss_bbox: 0.2120, loss_mask: 0.2227, loss: 0.6693 +2022-09-22 11:49:30,604 - mmdet - INFO - Epoch [11][4000/7330] lr: 1.000e-04, eta: 23:38:26, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0340, loss_cls: 0.1785, acc: 93.5767, loss_bbox: 0.2178, loss_mask: 0.2280, loss: 0.6842 +2022-09-22 11:49:52,045 - mmdet - INFO - Epoch [11][4050/7330] lr: 1.000e-04, eta: 23:37:49, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0327, loss_cls: 0.1840, acc: 93.5217, loss_bbox: 0.2209, loss_mask: 0.2263, loss: 0.6901 +2022-09-22 11:50:13,374 - mmdet - INFO - Epoch [11][4100/7330] lr: 1.000e-04, eta: 23:37:12, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0370, loss_cls: 0.1875, acc: 93.2295, loss_bbox: 0.2298, loss_mask: 0.2287, loss: 0.7104 +2022-09-22 11:50:35,041 - mmdet - INFO - Epoch [11][4150/7330] lr: 1.000e-04, eta: 23:36:38, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0344, loss_cls: 0.1824, acc: 93.5312, loss_bbox: 0.2201, loss_mask: 0.2256, loss: 0.6878 +2022-09-22 11:50:56,432 - mmdet - INFO - Epoch [11][4200/7330] lr: 1.000e-04, eta: 23:36:01, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0330, loss_cls: 0.1809, acc: 93.5603, loss_bbox: 0.2231, loss_mask: 0.2238, loss: 0.6856 +2022-09-22 11:51:18,264 - mmdet - INFO - Epoch [11][4250/7330] lr: 1.000e-04, eta: 23:35:29, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0337, loss_cls: 0.1792, acc: 93.5620, loss_bbox: 0.2226, loss_mask: 0.2286, loss: 0.6870 +2022-09-22 11:51:39,720 - mmdet - INFO - Epoch [11][4300/7330] lr: 1.000e-04, eta: 23:34:53, time: 0.429, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0321, loss_cls: 0.1789, acc: 93.6404, loss_bbox: 0.2160, loss_mask: 0.2248, loss: 0.6775 +2022-09-22 11:52:01,533 - mmdet - INFO - Epoch [11][4350/7330] lr: 1.000e-04, eta: 23:34:21, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0383, loss_cls: 0.1925, acc: 92.9993, loss_bbox: 0.2395, loss_mask: 0.2364, loss: 0.7358 +2022-09-22 11:52:22,983 - mmdet - INFO - Epoch [11][4400/7330] lr: 1.000e-04, eta: 23:33:45, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0319, loss_cls: 0.1724, acc: 93.8040, loss_bbox: 0.2149, loss_mask: 0.2264, loss: 0.6684 +2022-09-22 11:52:43,946 - mmdet - INFO - Epoch [11][4450/7330] lr: 1.000e-04, eta: 23:33:05, time: 0.419, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0335, loss_cls: 0.1688, acc: 93.9880, loss_bbox: 0.2119, loss_mask: 0.2267, loss: 0.6677 +2022-09-22 11:53:05,301 - mmdet - INFO - Epoch [11][4500/7330] lr: 1.000e-04, eta: 23:32:28, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0336, loss_cls: 0.1806, acc: 93.5403, loss_bbox: 0.2188, loss_mask: 0.2234, loss: 0.6809 +2022-09-22 11:53:26,796 - mmdet - INFO - Epoch [11][4550/7330] lr: 1.000e-04, eta: 23:31:53, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0345, loss_cls: 0.1761, acc: 93.7002, loss_bbox: 0.2205, loss_mask: 0.2269, loss: 0.6840 +2022-09-22 11:53:48,507 - mmdet - INFO - Epoch [11][4600/7330] lr: 1.000e-04, eta: 23:31:20, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0353, loss_cls: 0.1849, acc: 93.4626, loss_bbox: 0.2221, loss_mask: 0.2268, loss: 0.6965 +2022-09-22 11:54:10,061 - mmdet - INFO - Epoch [11][4650/7330] lr: 1.000e-04, eta: 23:30:45, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0324, loss_cls: 0.1646, acc: 94.1760, loss_bbox: 0.2033, loss_mask: 0.2167, loss: 0.6416 +2022-09-22 11:54:31,950 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 11:54:31,951 - mmdet - INFO - Epoch [11][4700/7330] lr: 1.000e-04, eta: 23:30:14, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0347, loss_cls: 0.1824, acc: 93.4844, loss_bbox: 0.2228, loss_mask: 0.2297, loss: 0.6965 +2022-09-22 11:54:53,618 - mmdet - INFO - Epoch [11][4750/7330] lr: 1.000e-04, eta: 23:29:41, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0313, loss_cls: 0.1794, acc: 93.7146, loss_bbox: 0.2115, loss_mask: 0.2151, loss: 0.6619 +2022-09-22 11:55:15,351 - mmdet - INFO - Epoch [11][4800/7330] lr: 1.000e-04, eta: 23:29:08, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0337, loss_cls: 0.1725, acc: 93.7021, loss_bbox: 0.2175, loss_mask: 0.2258, loss: 0.6735 +2022-09-22 11:55:37,166 - mmdet - INFO - Epoch [11][4850/7330] lr: 1.000e-04, eta: 23:28:37, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0336, loss_cls: 0.1763, acc: 93.6443, loss_bbox: 0.2204, loss_mask: 0.2205, loss: 0.6767 +2022-09-22 11:55:59,199 - mmdet - INFO - Epoch [11][4900/7330] lr: 1.000e-04, eta: 23:28:07, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0364, loss_cls: 0.1837, acc: 93.3718, loss_bbox: 0.2243, loss_mask: 0.2230, loss: 0.6961 +2022-09-22 11:56:21,125 - mmdet - INFO - Epoch [11][4950/7330] lr: 1.000e-04, eta: 23:27:36, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0351, loss_cls: 0.1794, acc: 93.4592, loss_bbox: 0.2215, loss_mask: 0.2312, loss: 0.6929 +2022-09-22 11:56:42,893 - mmdet - INFO - Epoch [11][5000/7330] lr: 1.000e-04, eta: 23:27:05, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0365, loss_cls: 0.1790, acc: 93.5628, loss_bbox: 0.2189, loss_mask: 0.2281, loss: 0.6913 +2022-09-22 11:57:04,177 - mmdet - INFO - Epoch [11][5050/7330] lr: 1.000e-04, eta: 23:26:28, time: 0.426, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0313, loss_cls: 0.1689, acc: 93.9431, loss_bbox: 0.2134, loss_mask: 0.2260, loss: 0.6639 +2022-09-22 11:57:26,198 - mmdet - INFO - Epoch [11][5100/7330] lr: 1.000e-04, eta: 23:25:58, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0320, loss_cls: 0.1739, acc: 93.8230, loss_bbox: 0.2116, loss_mask: 0.2192, loss: 0.6609 +2022-09-22 11:57:48,111 - mmdet - INFO - Epoch [11][5150/7330] lr: 1.000e-04, eta: 23:25:28, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0314, loss_cls: 0.1736, acc: 93.8555, loss_bbox: 0.2077, loss_mask: 0.2231, loss: 0.6606 +2022-09-22 11:58:09,852 - mmdet - INFO - Epoch [11][5200/7330] lr: 1.000e-04, eta: 23:24:56, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0344, loss_cls: 0.1837, acc: 93.4624, loss_bbox: 0.2206, loss_mask: 0.2304, loss: 0.6973 +2022-09-22 11:58:31,705 - mmdet - INFO - Epoch [11][5250/7330] lr: 1.000e-04, eta: 23:24:25, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0325, loss_cls: 0.1752, acc: 93.6321, loss_bbox: 0.2185, loss_mask: 0.2245, loss: 0.6745 +2022-09-22 11:58:52,941 - mmdet - INFO - Epoch [11][5300/7330] lr: 1.000e-04, eta: 23:23:48, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0323, loss_cls: 0.1710, acc: 93.8613, loss_bbox: 0.2104, loss_mask: 0.2190, loss: 0.6587 +2022-09-22 11:59:14,795 - mmdet - INFO - Epoch [11][5350/7330] lr: 1.000e-04, eta: 23:23:18, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0353, loss_cls: 0.1860, acc: 93.2778, loss_bbox: 0.2248, loss_mask: 0.2269, loss: 0.7000 +2022-09-22 11:59:36,547 - mmdet - INFO - Epoch [11][5400/7330] lr: 1.000e-04, eta: 23:22:46, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0330, loss_cls: 0.1702, acc: 94.0291, loss_bbox: 0.2060, loss_mask: 0.2252, loss: 0.6617 +2022-09-22 11:59:58,414 - mmdet - INFO - Epoch [11][5450/7330] lr: 1.000e-04, eta: 23:22:15, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0322, loss_cls: 0.1748, acc: 93.8335, loss_bbox: 0.2116, loss_mask: 0.2216, loss: 0.6669 +2022-09-22 12:00:23,446 - mmdet - INFO - Epoch [11][5500/7330] lr: 1.000e-04, eta: 23:22:14, time: 0.501, data_time: 0.027, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0323, loss_cls: 0.1590, acc: 94.2756, loss_bbox: 0.2006, loss_mask: 0.2201, loss: 0.6362 +2022-09-22 12:00:44,499 - mmdet - INFO - Epoch [11][5550/7330] lr: 1.000e-04, eta: 23:21:35, time: 0.421, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0319, loss_cls: 0.1729, acc: 93.8896, loss_bbox: 0.2120, loss_mask: 0.2231, loss: 0.6647 +2022-09-22 12:01:05,837 - mmdet - INFO - Epoch [11][5600/7330] lr: 1.000e-04, eta: 23:21:00, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0359, loss_cls: 0.1846, acc: 93.4314, loss_bbox: 0.2239, loss_mask: 0.2289, loss: 0.7015 +2022-09-22 12:01:27,219 - mmdet - INFO - Epoch [11][5650/7330] lr: 1.000e-04, eta: 23:20:25, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0329, loss_cls: 0.1609, acc: 94.0979, loss_bbox: 0.2024, loss_mask: 0.2198, loss: 0.6415 +2022-09-22 12:01:48,747 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 12:01:48,752 - mmdet - INFO - Epoch [11][5700/7330] lr: 1.000e-04, eta: 23:19:52, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0333, loss_cls: 0.1837, acc: 93.3728, loss_bbox: 0.2247, loss_mask: 0.2317, loss: 0.6986 +2022-09-22 12:02:10,260 - mmdet - INFO - Epoch [11][5750/7330] lr: 1.000e-04, eta: 23:19:18, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0364, loss_cls: 0.1864, acc: 93.3059, loss_bbox: 0.2301, loss_mask: 0.2244, loss: 0.7042 +2022-09-22 12:02:32,030 - mmdet - INFO - Epoch [11][5800/7330] lr: 1.000e-04, eta: 23:18:47, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0353, loss_cls: 0.1942, acc: 93.5610, loss_bbox: 0.2230, loss_mask: 0.2281, loss: 0.7090 +2022-09-22 12:02:53,531 - mmdet - INFO - Epoch [11][5850/7330] lr: 1.000e-04, eta: 23:18:13, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0345, loss_cls: 0.1794, acc: 93.7185, loss_bbox: 0.2125, loss_mask: 0.2224, loss: 0.6762 +2022-09-22 12:03:14,859 - mmdet - INFO - Epoch [11][5900/7330] lr: 1.000e-04, eta: 23:17:38, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0319, loss_cls: 0.1696, acc: 94.0464, loss_bbox: 0.2048, loss_mask: 0.2195, loss: 0.6507 +2022-09-22 12:03:36,742 - mmdet - INFO - Epoch [11][5950/7330] lr: 1.000e-04, eta: 23:17:08, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0375, loss_cls: 0.1890, acc: 93.2383, loss_bbox: 0.2308, loss_mask: 0.2285, loss: 0.7166 +2022-09-22 12:03:58,284 - mmdet - INFO - Epoch [11][6000/7330] lr: 1.000e-04, eta: 23:16:35, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0339, loss_cls: 0.1766, acc: 93.6792, loss_bbox: 0.2144, loss_mask: 0.2208, loss: 0.6719 +2022-09-22 12:04:19,770 - mmdet - INFO - Epoch [11][6050/7330] lr: 1.000e-04, eta: 23:16:02, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0347, loss_cls: 0.1832, acc: 93.5308, loss_bbox: 0.2206, loss_mask: 0.2228, loss: 0.6895 +2022-09-22 12:04:41,234 - mmdet - INFO - Epoch [11][6100/7330] lr: 1.000e-04, eta: 23:15:28, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0332, loss_cls: 0.1803, acc: 93.6008, loss_bbox: 0.2249, loss_mask: 0.2273, loss: 0.6907 +2022-09-22 12:05:03,080 - mmdet - INFO - Epoch [11][6150/7330] lr: 1.000e-04, eta: 23:14:58, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0366, loss_cls: 0.1880, acc: 93.3071, loss_bbox: 0.2306, loss_mask: 0.2324, loss: 0.7174 +2022-09-22 12:05:24,483 - mmdet - INFO - Epoch [11][6200/7330] lr: 1.000e-04, eta: 23:14:23, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0347, loss_cls: 0.1785, acc: 93.6604, loss_bbox: 0.2194, loss_mask: 0.2257, loss: 0.6856 +2022-09-22 12:05:46,443 - mmdet - INFO - Epoch [11][6250/7330] lr: 1.000e-04, eta: 23:13:54, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0351, loss_cls: 0.1811, acc: 93.5024, loss_bbox: 0.2188, loss_mask: 0.2271, loss: 0.6871 +2022-09-22 12:06:08,026 - mmdet - INFO - Epoch [11][6300/7330] lr: 1.000e-04, eta: 23:13:22, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0351, loss_cls: 0.1863, acc: 93.3801, loss_bbox: 0.2252, loss_mask: 0.2256, loss: 0.6963 +2022-09-22 12:06:29,309 - mmdet - INFO - Epoch [11][6350/7330] lr: 1.000e-04, eta: 23:12:47, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0346, loss_cls: 0.1777, acc: 93.6750, loss_bbox: 0.2142, loss_mask: 0.2332, loss: 0.6871 +2022-09-22 12:06:50,981 - mmdet - INFO - Epoch [11][6400/7330] lr: 1.000e-04, eta: 23:12:16, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0341, loss_cls: 0.1839, acc: 93.4553, loss_bbox: 0.2233, loss_mask: 0.2324, loss: 0.6994 +2022-09-22 12:07:12,487 - mmdet - INFO - Epoch [11][6450/7330] lr: 1.000e-04, eta: 23:11:43, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0331, loss_cls: 0.1734, acc: 93.7705, loss_bbox: 0.2140, loss_mask: 0.2224, loss: 0.6671 +2022-09-22 12:07:34,081 - mmdet - INFO - Epoch [11][6500/7330] lr: 1.000e-04, eta: 23:11:11, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0368, loss_cls: 0.1881, acc: 93.2771, loss_bbox: 0.2248, loss_mask: 0.2338, loss: 0.7118 +2022-09-22 12:07:55,663 - mmdet - INFO - Epoch [11][6550/7330] lr: 1.000e-04, eta: 23:10:39, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0318, loss_cls: 0.1765, acc: 93.6428, loss_bbox: 0.2177, loss_mask: 0.2255, loss: 0.6745 +2022-09-22 12:08:17,601 - mmdet - INFO - Epoch [11][6600/7330] lr: 1.000e-04, eta: 23:10:10, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0355, loss_cls: 0.1860, acc: 93.4644, loss_bbox: 0.2271, loss_mask: 0.2347, loss: 0.7105 +2022-09-22 12:08:38,918 - mmdet - INFO - Epoch [11][6650/7330] lr: 1.000e-04, eta: 23:09:35, time: 0.426, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0326, loss_cls: 0.1747, acc: 93.7402, loss_bbox: 0.2162, loss_mask: 0.2277, loss: 0.6789 +2022-09-22 12:09:00,582 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 12:09:00,584 - mmdet - INFO - Epoch [11][6700/7330] lr: 1.000e-04, eta: 23:09:04, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0309, loss_cls: 0.1743, acc: 93.8916, loss_bbox: 0.2050, loss_mask: 0.2230, loss: 0.6579 +2022-09-22 12:09:22,157 - mmdet - INFO - Epoch [11][6750/7330] lr: 1.000e-04, eta: 23:08:32, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0343, loss_cls: 0.1821, acc: 93.4478, loss_bbox: 0.2194, loss_mask: 0.2269, loss: 0.6874 +2022-09-22 12:09:44,003 - mmdet - INFO - Epoch [11][6800/7330] lr: 1.000e-04, eta: 23:08:02, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0339, loss_cls: 0.1773, acc: 93.6348, loss_bbox: 0.2201, loss_mask: 0.2216, loss: 0.6799 +2022-09-22 12:10:05,797 - mmdet - INFO - Epoch [11][6850/7330] lr: 1.000e-04, eta: 23:07:32, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0341, loss_cls: 0.1792, acc: 93.6440, loss_bbox: 0.2174, loss_mask: 0.2219, loss: 0.6778 +2022-09-22 12:10:27,067 - mmdet - INFO - Epoch [11][6900/7330] lr: 1.000e-04, eta: 23:06:58, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0319, loss_cls: 0.1764, acc: 93.7202, loss_bbox: 0.2131, loss_mask: 0.2210, loss: 0.6669 +2022-09-22 12:10:48,808 - mmdet - INFO - Epoch [11][6950/7330] lr: 1.000e-04, eta: 23:06:27, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0355, loss_cls: 0.1816, acc: 93.4592, loss_bbox: 0.2238, loss_mask: 0.2289, loss: 0.6972 +2022-09-22 12:11:10,575 - mmdet - INFO - Epoch [11][7000/7330] lr: 1.000e-04, eta: 23:05:57, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0315, loss_cls: 0.1767, acc: 93.8159, loss_bbox: 0.2129, loss_mask: 0.2239, loss: 0.6708 +2022-09-22 12:11:32,299 - mmdet - INFO - Epoch [11][7050/7330] lr: 1.000e-04, eta: 23:05:27, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0355, loss_cls: 0.1809, acc: 93.5713, loss_bbox: 0.2191, loss_mask: 0.2227, loss: 0.6861 +2022-09-22 12:11:53,837 - mmdet - INFO - Epoch [11][7100/7330] lr: 1.000e-04, eta: 23:04:55, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0334, loss_cls: 0.1729, acc: 93.8328, loss_bbox: 0.2089, loss_mask: 0.2204, loss: 0.6637 +2022-09-22 12:12:15,599 - mmdet - INFO - Epoch [11][7150/7330] lr: 1.000e-04, eta: 23:04:23, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0339, loss_cls: 0.1816, acc: 93.5500, loss_bbox: 0.2212, loss_mask: 0.2290, loss: 0.6932 +2022-09-22 12:12:37,063 - mmdet - INFO - Epoch [11][7200/7330] lr: 1.000e-04, eta: 23:03:52, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0348, loss_cls: 0.1797, acc: 93.5044, loss_bbox: 0.2208, loss_mask: 0.2291, loss: 0.6911 +2022-09-22 12:12:58,324 - mmdet - INFO - Epoch [11][7250/7330] lr: 1.000e-04, eta: 23:03:18, time: 0.425, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0328, loss_cls: 0.1823, acc: 93.5613, loss_bbox: 0.2211, loss_mask: 0.2257, loss: 0.6880 +2022-09-22 12:13:19,740 - mmdet - INFO - Epoch [11][7300/7330] lr: 1.000e-04, eta: 23:02:45, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0333, loss_cls: 0.1752, acc: 93.7258, loss_bbox: 0.2111, loss_mask: 0.2220, loss: 0.6685 +2022-09-22 12:13:42,130 - mmdet - INFO - Saving checkpoint at 11 epochs +2022-09-22 12:15:23,848 - mmdet - INFO - Evaluating bbox... +2022-09-22 12:15:52,305 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.472 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.702 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.519 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.319 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.511 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.614 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.440 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.642 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.751 + +2022-09-22 12:15:52,306 - mmdet - INFO - Evaluating segm... +2022-09-22 12:16:25,804 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.426 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.673 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.458 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.241 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.462 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.378 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.593 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.710 + +2022-09-22 12:16:26,436 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 12:16:26,438 - mmdet - INFO - Epoch(val) [11][625] bbox_mAP: 0.4720, bbox_mAP_50: 0.7020, bbox_mAP_75: 0.5190, bbox_mAP_s: 0.3190, bbox_mAP_m: 0.5110, bbox_mAP_l: 0.6140, bbox_mAP_copypaste: 0.472 0.702 0.519 0.319 0.511 0.614, segm_mAP: 0.4260, segm_mAP_50: 0.6730, segm_mAP_75: 0.4580, segm_mAP_s: 0.2410, segm_mAP_m: 0.4620, segm_mAP_l: 0.6160, segm_mAP_copypaste: 0.426 0.673 0.458 0.241 0.462 0.616 +2022-09-22 12:18:59,439 - mmdet - INFO - Epoch [12][50/7330] lr: 1.000e-04, eta: 23:18:19, time: 3.059, data_time: 2.613, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0358, loss_cls: 0.1728, acc: 93.6660, loss_bbox: 0.2253, loss_mask: 0.2277, loss: 0.6886 +2022-09-22 12:19:21,482 - mmdet - INFO - Epoch [12][100/7330] lr: 1.000e-04, eta: 23:17:50, time: 0.442, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0328, loss_cls: 0.1719, acc: 93.7808, loss_bbox: 0.2192, loss_mask: 0.2273, loss: 0.6761 +2022-09-22 12:19:43,216 - mmdet - INFO - Epoch [12][150/7330] lr: 1.000e-04, eta: 23:17:17, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0327, loss_cls: 0.1738, acc: 93.7583, loss_bbox: 0.2184, loss_mask: 0.2267, loss: 0.6757 +2022-09-22 12:20:05,672 - mmdet - INFO - Epoch [12][200/7330] lr: 1.000e-04, eta: 23:16:50, time: 0.450, data_time: 0.025, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0351, loss_cls: 0.1828, acc: 93.4124, loss_bbox: 0.2268, loss_mask: 0.2287, loss: 0.6977 +2022-09-22 12:20:27,603 - mmdet - INFO - Epoch [12][250/7330] lr: 1.000e-04, eta: 23:16:20, time: 0.439, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0340, loss_cls: 0.1743, acc: 93.6599, loss_bbox: 0.2218, loss_mask: 0.2262, loss: 0.6820 +2022-09-22 12:20:49,810 - mmdet - INFO - Epoch [12][300/7330] lr: 1.000e-04, eta: 23:15:51, time: 0.444, data_time: 0.024, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0336, loss_cls: 0.1746, acc: 93.7122, loss_bbox: 0.2166, loss_mask: 0.2264, loss: 0.6760 +2022-09-22 12:21:11,839 - mmdet - INFO - Epoch [12][350/7330] lr: 1.000e-04, eta: 23:15:21, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0339, loss_cls: 0.1769, acc: 93.7183, loss_bbox: 0.2165, loss_mask: 0.2232, loss: 0.6747 +2022-09-22 12:21:33,553 - mmdet - INFO - Epoch [12][400/7330] lr: 1.000e-04, eta: 23:14:49, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0313, loss_cls: 0.1706, acc: 93.8237, loss_bbox: 0.2157, loss_mask: 0.2248, loss: 0.6671 +2022-09-22 12:21:55,523 - mmdet - INFO - Epoch [12][450/7330] lr: 1.000e-04, eta: 23:14:18, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0349, loss_cls: 0.1789, acc: 93.5171, loss_bbox: 0.2218, loss_mask: 0.2208, loss: 0.6824 +2022-09-22 12:22:17,143 - mmdet - INFO - Epoch [12][500/7330] lr: 1.000e-04, eta: 23:13:45, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0320, loss_cls: 0.1729, acc: 93.7561, loss_bbox: 0.2130, loss_mask: 0.2192, loss: 0.6617 +2022-09-22 12:22:39,112 - mmdet - INFO - Epoch [12][550/7330] lr: 1.000e-04, eta: 23:13:15, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0340, loss_cls: 0.1819, acc: 93.4824, loss_bbox: 0.2187, loss_mask: 0.2233, loss: 0.6859 +2022-09-22 12:23:01,079 - mmdet - INFO - Epoch [12][600/7330] lr: 1.000e-04, eta: 23:12:44, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0340, loss_cls: 0.1675, acc: 93.9004, loss_bbox: 0.2117, loss_mask: 0.2177, loss: 0.6549 +2022-09-22 12:23:22,454 - mmdet - INFO - Epoch [12][650/7330] lr: 1.000e-04, eta: 23:12:09, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0323, loss_cls: 0.1765, acc: 93.6008, loss_bbox: 0.2202, loss_mask: 0.2308, loss: 0.6841 +2022-09-22 12:23:44,400 - mmdet - INFO - Epoch [12][700/7330] lr: 1.000e-04, eta: 23:11:39, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0353, loss_cls: 0.1833, acc: 93.4058, loss_bbox: 0.2206, loss_mask: 0.2265, loss: 0.6941 +2022-09-22 12:24:05,983 - mmdet - INFO - Epoch [12][750/7330] lr: 1.000e-04, eta: 23:11:06, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0336, loss_cls: 0.1654, acc: 93.9004, loss_bbox: 0.2133, loss_mask: 0.2197, loss: 0.6577 +2022-09-22 12:24:27,505 - mmdet - INFO - Epoch [12][800/7330] lr: 1.000e-04, eta: 23:10:33, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0323, loss_cls: 0.1682, acc: 93.9612, loss_bbox: 0.2079, loss_mask: 0.2209, loss: 0.6551 +2022-09-22 12:24:48,991 - mmdet - INFO - Epoch [12][850/7330] lr: 1.000e-04, eta: 23:09:59, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0340, loss_cls: 0.1682, acc: 93.8474, loss_bbox: 0.2208, loss_mask: 0.2260, loss: 0.6735 +2022-09-22 12:25:11,006 - mmdet - INFO - Epoch [12][900/7330] lr: 1.000e-04, eta: 23:09:29, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0329, loss_cls: 0.1706, acc: 93.8506, loss_bbox: 0.2132, loss_mask: 0.2278, loss: 0.6697 +2022-09-22 12:25:32,461 - mmdet - INFO - Epoch [12][950/7330] lr: 1.000e-04, eta: 23:08:55, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0327, loss_cls: 0.1770, acc: 93.6516, loss_bbox: 0.2178, loss_mask: 0.2237, loss: 0.6755 +2022-09-22 12:25:54,176 - mmdet - INFO - Epoch [12][1000/7330] lr: 1.000e-04, eta: 23:08:23, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0335, loss_cls: 0.1682, acc: 93.9624, loss_bbox: 0.2111, loss_mask: 0.2198, loss: 0.6573 +2022-09-22 12:26:16,169 - mmdet - INFO - Epoch [12][1050/7330] lr: 1.000e-04, eta: 23:07:53, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0355, loss_cls: 0.1814, acc: 93.4250, loss_bbox: 0.2254, loss_mask: 0.2263, loss: 0.6951 +2022-09-22 12:26:37,896 - mmdet - INFO - Epoch [12][1100/7330] lr: 1.000e-04, eta: 23:07:22, time: 0.435, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0349, loss_cls: 0.1831, acc: 93.3652, loss_bbox: 0.2277, loss_mask: 0.2254, loss: 0.6957 +2022-09-22 12:26:58,865 - mmdet - INFO - Epoch [12][1150/7330] lr: 1.000e-04, eta: 23:06:44, time: 0.419, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0330, loss_cls: 0.1735, acc: 93.7400, loss_bbox: 0.2178, loss_mask: 0.2223, loss: 0.6698 +2022-09-22 12:27:20,686 - mmdet - INFO - Epoch [12][1200/7330] lr: 1.000e-04, eta: 23:06:13, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0351, loss_cls: 0.1775, acc: 93.5105, loss_bbox: 0.2227, loss_mask: 0.2241, loss: 0.6844 +2022-09-22 12:27:42,571 - mmdet - INFO - Epoch [12][1250/7330] lr: 1.000e-04, eta: 23:05:43, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0349, loss_cls: 0.1806, acc: 93.4316, loss_bbox: 0.2277, loss_mask: 0.2267, loss: 0.6941 +2022-09-22 12:28:04,619 - mmdet - INFO - Epoch [12][1300/7330] lr: 1.000e-04, eta: 23:05:14, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0328, loss_cls: 0.1749, acc: 93.7534, loss_bbox: 0.2132, loss_mask: 0.2148, loss: 0.6596 +2022-09-22 12:28:26,446 - mmdet - INFO - Epoch [12][1350/7330] lr: 1.000e-04, eta: 23:04:43, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0313, loss_cls: 0.1712, acc: 93.8494, loss_bbox: 0.2153, loss_mask: 0.2205, loss: 0.6628 +2022-09-22 12:28:47,911 - mmdet - INFO - Epoch [12][1400/7330] lr: 1.000e-04, eta: 23:04:10, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0338, loss_cls: 0.1729, acc: 93.8015, loss_bbox: 0.2127, loss_mask: 0.2260, loss: 0.6700 +2022-09-22 12:29:09,464 - mmdet - INFO - Epoch [12][1450/7330] lr: 1.000e-04, eta: 23:03:37, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0312, loss_cls: 0.1703, acc: 93.7942, loss_bbox: 0.2065, loss_mask: 0.2188, loss: 0.6494 +2022-09-22 12:29:31,357 - mmdet - INFO - Epoch [12][1500/7330] lr: 1.000e-04, eta: 23:03:07, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0330, loss_cls: 0.1664, acc: 94.0703, loss_bbox: 0.2078, loss_mask: 0.2218, loss: 0.6529 +2022-09-22 12:29:53,158 - mmdet - INFO - Epoch [12][1550/7330] lr: 1.000e-04, eta: 23:02:36, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0330, loss_cls: 0.1710, acc: 93.8521, loss_bbox: 0.2138, loss_mask: 0.2221, loss: 0.6661 +2022-09-22 12:30:14,734 - mmdet - INFO - Epoch [12][1600/7330] lr: 1.000e-04, eta: 23:02:03, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0309, loss_cls: 0.1747, acc: 93.6733, loss_bbox: 0.2116, loss_mask: 0.2278, loss: 0.6703 +2022-09-22 12:30:36,246 - mmdet - INFO - Epoch [12][1650/7330] lr: 1.000e-04, eta: 23:01:30, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0326, loss_cls: 0.1665, acc: 93.9949, loss_bbox: 0.2092, loss_mask: 0.2257, loss: 0.6582 +2022-09-22 12:30:58,029 - mmdet - INFO - Epoch [12][1700/7330] lr: 1.000e-04, eta: 23:00:59, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0331, loss_cls: 0.1793, acc: 93.6345, loss_bbox: 0.2123, loss_mask: 0.2241, loss: 0.6764 +2022-09-22 12:31:20,046 - mmdet - INFO - Epoch [12][1750/7330] lr: 1.000e-04, eta: 23:00:31, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0318, loss_cls: 0.1753, acc: 93.7251, loss_bbox: 0.2158, loss_mask: 0.2230, loss: 0.6706 +2022-09-22 12:31:41,963 - mmdet - INFO - Epoch [12][1800/7330] lr: 1.000e-04, eta: 23:00:01, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0338, loss_cls: 0.1816, acc: 93.5327, loss_bbox: 0.2199, loss_mask: 0.2286, loss: 0.6917 +2022-09-22 12:32:03,673 - mmdet - INFO - Epoch [12][1850/7330] lr: 1.000e-04, eta: 22:59:30, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0329, loss_cls: 0.1741, acc: 93.6619, loss_bbox: 0.2203, loss_mask: 0.2243, loss: 0.6782 +2022-09-22 12:32:25,530 - mmdet - INFO - Epoch [12][1900/7330] lr: 1.000e-04, eta: 22:59:00, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0319, loss_cls: 0.1604, acc: 94.2993, loss_bbox: 0.2014, loss_mask: 0.2168, loss: 0.6343 +2022-09-22 12:32:46,982 - mmdet - INFO - Epoch [12][1950/7330] lr: 1.000e-04, eta: 22:58:27, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0324, loss_cls: 0.1625, acc: 94.1633, loss_bbox: 0.2046, loss_mask: 0.2257, loss: 0.6519 +2022-09-22 12:33:08,838 - mmdet - INFO - Epoch [12][2000/7330] lr: 1.000e-04, eta: 22:57:57, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0335, loss_cls: 0.1751, acc: 93.7441, loss_bbox: 0.2144, loss_mask: 0.2231, loss: 0.6723 +2022-09-22 12:33:30,515 - mmdet - INFO - Epoch [12][2050/7330] lr: 1.000e-04, eta: 22:57:25, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0327, loss_cls: 0.1719, acc: 93.8447, loss_bbox: 0.2121, loss_mask: 0.2220, loss: 0.6654 +2022-09-22 12:33:52,185 - mmdet - INFO - Epoch [12][2100/7330] lr: 1.000e-04, eta: 22:56:54, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0308, loss_cls: 0.1701, acc: 93.8857, loss_bbox: 0.2105, loss_mask: 0.2259, loss: 0.6603 +2022-09-22 12:34:14,039 - mmdet - INFO - Epoch [12][2150/7330] lr: 1.000e-04, eta: 22:56:24, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0319, loss_cls: 0.1751, acc: 93.7522, loss_bbox: 0.2150, loss_mask: 0.2254, loss: 0.6709 +2022-09-22 12:34:35,687 - mmdet - INFO - Epoch [12][2200/7330] lr: 1.000e-04, eta: 22:55:52, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0359, loss_cls: 0.1788, acc: 93.6279, loss_bbox: 0.2235, loss_mask: 0.2263, loss: 0.6899 +2022-09-22 12:34:57,602 - mmdet - INFO - Epoch [12][2250/7330] lr: 1.000e-04, eta: 22:55:23, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0326, loss_cls: 0.1786, acc: 93.7317, loss_bbox: 0.2154, loss_mask: 0.2248, loss: 0.6768 +2022-09-22 12:35:19,399 - mmdet - INFO - Epoch [12][2300/7330] lr: 1.000e-04, eta: 22:54:53, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0335, loss_cls: 0.1740, acc: 93.6570, loss_bbox: 0.2174, loss_mask: 0.2301, loss: 0.6784 +2022-09-22 12:35:41,541 - mmdet - INFO - Epoch [12][2350/7330] lr: 1.000e-04, eta: 22:54:25, time: 0.443, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0359, loss_cls: 0.1794, acc: 93.5330, loss_bbox: 0.2257, loss_mask: 0.2256, loss: 0.6946 +2022-09-22 12:36:03,459 - mmdet - INFO - Epoch [12][2400/7330] lr: 1.000e-04, eta: 22:53:56, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0318, loss_cls: 0.1740, acc: 93.8550, loss_bbox: 0.2139, loss_mask: 0.2261, loss: 0.6711 +2022-09-22 12:36:25,035 - mmdet - INFO - Epoch [12][2450/7330] lr: 1.000e-04, eta: 22:53:24, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0324, loss_cls: 0.1764, acc: 93.7644, loss_bbox: 0.2139, loss_mask: 0.2246, loss: 0.6728 +2022-09-22 12:36:46,956 - mmdet - INFO - Epoch [12][2500/7330] lr: 1.000e-04, eta: 22:52:55, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0343, loss_cls: 0.1777, acc: 93.5862, loss_bbox: 0.2225, loss_mask: 0.2243, loss: 0.6832 +2022-09-22 12:37:08,464 - mmdet - INFO - Epoch [12][2550/7330] lr: 1.000e-04, eta: 22:52:23, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0340, loss_cls: 0.1798, acc: 93.6353, loss_bbox: 0.2139, loss_mask: 0.2173, loss: 0.6716 +2022-09-22 12:37:30,011 - mmdet - INFO - Epoch [12][2600/7330] lr: 1.000e-04, eta: 22:51:51, time: 0.431, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0350, loss_cls: 0.1742, acc: 93.7910, loss_bbox: 0.2155, loss_mask: 0.2213, loss: 0.6720 +2022-09-22 12:37:52,036 - mmdet - INFO - Epoch [12][2650/7330] lr: 1.000e-04, eta: 22:51:23, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0333, loss_cls: 0.1717, acc: 93.7837, loss_bbox: 0.2148, loss_mask: 0.2266, loss: 0.6707 +2022-09-22 12:38:14,302 - mmdet - INFO - Epoch [12][2700/7330] lr: 1.000e-04, eta: 22:50:56, time: 0.445, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0341, loss_cls: 0.1855, acc: 93.2947, loss_bbox: 0.2233, loss_mask: 0.2311, loss: 0.7022 +2022-09-22 12:38:36,730 - mmdet - INFO - Epoch [12][2750/7330] lr: 1.000e-04, eta: 22:50:31, time: 0.449, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0351, loss_cls: 0.1831, acc: 93.5779, loss_bbox: 0.2154, loss_mask: 0.2253, loss: 0.6866 +2022-09-22 12:38:58,420 - mmdet - INFO - Epoch [12][2800/7330] lr: 1.000e-04, eta: 22:50:00, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0330, loss_cls: 0.1776, acc: 93.5825, loss_bbox: 0.2175, loss_mask: 0.2249, loss: 0.6786 +2022-09-22 12:39:20,177 - mmdet - INFO - Epoch [12][2850/7330] lr: 1.000e-04, eta: 22:49:30, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0341, loss_cls: 0.1759, acc: 93.6616, loss_bbox: 0.2186, loss_mask: 0.2268, loss: 0.6814 +2022-09-22 12:39:41,835 - mmdet - INFO - Epoch [12][2900/7330] lr: 1.000e-04, eta: 22:48:59, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0329, loss_cls: 0.1730, acc: 93.7988, loss_bbox: 0.2143, loss_mask: 0.2223, loss: 0.6678 +2022-09-22 12:40:03,820 - mmdet - INFO - Epoch [12][2950/7330] lr: 1.000e-04, eta: 22:48:31, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0344, loss_cls: 0.1750, acc: 93.7563, loss_bbox: 0.2166, loss_mask: 0.2201, loss: 0.6709 +2022-09-22 12:40:25,616 - mmdet - INFO - Epoch [12][3000/7330] lr: 1.000e-04, eta: 22:48:01, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0330, loss_cls: 0.1817, acc: 93.5759, loss_bbox: 0.2190, loss_mask: 0.2236, loss: 0.6819 +2022-09-22 12:40:47,552 - mmdet - INFO - Epoch [12][3050/7330] lr: 1.000e-04, eta: 22:47:32, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0327, loss_cls: 0.1723, acc: 93.8640, loss_bbox: 0.2160, loss_mask: 0.2220, loss: 0.6681 +2022-09-22 12:41:09,098 - mmdet - INFO - Epoch [12][3100/7330] lr: 1.000e-04, eta: 22:47:00, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0316, loss_cls: 0.1696, acc: 93.8840, loss_bbox: 0.2101, loss_mask: 0.2212, loss: 0.6558 +2022-09-22 12:41:30,721 - mmdet - INFO - Epoch [12][3150/7330] lr: 1.000e-04, eta: 22:46:29, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0347, loss_cls: 0.1850, acc: 93.4458, loss_bbox: 0.2225, loss_mask: 0.2248, loss: 0.6927 +2022-09-22 12:41:52,785 - mmdet - INFO - Epoch [12][3200/7330] lr: 1.000e-04, eta: 22:46:01, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0351, loss_cls: 0.1748, acc: 93.6475, loss_bbox: 0.2192, loss_mask: 0.2258, loss: 0.6803 +2022-09-22 12:42:14,719 - mmdet - INFO - Epoch [12][3250/7330] lr: 1.000e-04, eta: 22:45:33, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0302, loss_cls: 0.1645, acc: 94.0105, loss_bbox: 0.2100, loss_mask: 0.2156, loss: 0.6418 +2022-09-22 12:42:36,694 - mmdet - INFO - Epoch [12][3300/7330] lr: 1.000e-04, eta: 22:45:05, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0345, loss_cls: 0.1812, acc: 93.4480, loss_bbox: 0.2250, loss_mask: 0.2231, loss: 0.6877 +2022-09-22 12:42:58,659 - mmdet - INFO - Epoch [12][3350/7330] lr: 1.000e-04, eta: 22:44:36, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0346, loss_cls: 0.1820, acc: 93.5449, loss_bbox: 0.2228, loss_mask: 0.2273, loss: 0.6926 +2022-09-22 12:43:20,438 - mmdet - INFO - Epoch [12][3400/7330] lr: 1.000e-04, eta: 22:44:07, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0343, loss_cls: 0.1799, acc: 93.5752, loss_bbox: 0.2235, loss_mask: 0.2267, loss: 0.6888 +2022-09-22 12:43:42,153 - mmdet - INFO - Epoch [12][3450/7330] lr: 1.000e-04, eta: 22:43:37, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0332, loss_cls: 0.1780, acc: 93.7083, loss_bbox: 0.2129, loss_mask: 0.2247, loss: 0.6761 +2022-09-22 12:44:04,168 - mmdet - INFO - Epoch [12][3500/7330] lr: 1.000e-04, eta: 22:43:08, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0338, loss_cls: 0.1754, acc: 93.7197, loss_bbox: 0.2149, loss_mask: 0.2224, loss: 0.6710 +2022-09-22 12:44:26,052 - mmdet - INFO - Epoch [12][3550/7330] lr: 1.000e-04, eta: 22:42:40, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0329, loss_cls: 0.1700, acc: 93.7842, loss_bbox: 0.2147, loss_mask: 0.2246, loss: 0.6652 +2022-09-22 12:44:47,590 - mmdet - INFO - Epoch [12][3600/7330] lr: 1.000e-04, eta: 22:42:08, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0328, loss_cls: 0.1765, acc: 93.6245, loss_bbox: 0.2178, loss_mask: 0.2239, loss: 0.6747 +2022-09-22 12:45:09,114 - mmdet - INFO - Epoch [12][3650/7330] lr: 1.000e-04, eta: 22:41:37, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0356, loss_cls: 0.1838, acc: 93.3606, loss_bbox: 0.2216, loss_mask: 0.2288, loss: 0.6975 +2022-09-22 12:45:30,923 - mmdet - INFO - Epoch [12][3700/7330] lr: 1.000e-04, eta: 22:41:08, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0314, loss_cls: 0.1699, acc: 94.0095, loss_bbox: 0.2081, loss_mask: 0.2191, loss: 0.6514 +2022-09-22 12:45:52,440 - mmdet - INFO - Epoch [12][3750/7330] lr: 1.000e-04, eta: 22:40:37, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0316, loss_cls: 0.1694, acc: 93.9983, loss_bbox: 0.2091, loss_mask: 0.2272, loss: 0.6611 +2022-09-22 12:46:14,392 - mmdet - INFO - Epoch [12][3800/7330] lr: 1.000e-04, eta: 22:40:08, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0337, loss_cls: 0.1736, acc: 93.7847, loss_bbox: 0.2122, loss_mask: 0.2210, loss: 0.6664 +2022-09-22 12:46:36,396 - mmdet - INFO - Epoch [12][3850/7330] lr: 1.000e-04, eta: 22:39:41, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0330, loss_cls: 0.1855, acc: 93.4775, loss_bbox: 0.2222, loss_mask: 0.2227, loss: 0.6893 +2022-09-22 12:46:58,309 - mmdet - INFO - Epoch [12][3900/7330] lr: 1.000e-04, eta: 22:39:12, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0325, loss_cls: 0.1819, acc: 93.4343, loss_bbox: 0.2208, loss_mask: 0.2237, loss: 0.6830 +2022-09-22 12:47:19,965 - mmdet - INFO - Epoch [12][3950/7330] lr: 1.000e-04, eta: 22:38:42, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0324, loss_cls: 0.1686, acc: 93.8923, loss_bbox: 0.2160, loss_mask: 0.2232, loss: 0.6673 +2022-09-22 12:47:41,490 - mmdet - INFO - Epoch [12][4000/7330] lr: 1.000e-04, eta: 22:38:11, time: 0.430, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0328, loss_cls: 0.1685, acc: 93.9766, loss_bbox: 0.2106, loss_mask: 0.2256, loss: 0.6622 +2022-09-22 12:48:03,293 - mmdet - INFO - Epoch [12][4050/7330] lr: 1.000e-04, eta: 22:37:42, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0645, loss_rpn_bbox: 0.0461, loss_cls: 0.2207, acc: 93.3567, loss_bbox: 0.2389, loss_mask: 0.2450, loss: 0.8153 +2022-09-22 12:48:25,027 - mmdet - INFO - Epoch [12][4100/7330] lr: 1.000e-04, eta: 22:37:12, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0343, loss_cls: 0.1787, acc: 93.7959, loss_bbox: 0.2220, loss_mask: 0.2256, loss: 0.6877 +2022-09-22 12:48:46,513 - mmdet - INFO - Epoch [12][4150/7330] lr: 1.000e-04, eta: 22:36:41, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0331, loss_cls: 0.1774, acc: 93.7480, loss_bbox: 0.2106, loss_mask: 0.2271, loss: 0.6741 +2022-09-22 12:49:07,817 - mmdet - INFO - Epoch [12][4200/7330] lr: 1.000e-04, eta: 22:36:08, time: 0.426, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0342, loss_cls: 0.1725, acc: 93.8848, loss_bbox: 0.2163, loss_mask: 0.2283, loss: 0.6760 +2022-09-22 12:49:29,542 - mmdet - INFO - Epoch [12][4250/7330] lr: 1.000e-04, eta: 22:35:39, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0328, loss_cls: 0.1753, acc: 93.7544, loss_bbox: 0.2138, loss_mask: 0.2216, loss: 0.6700 +2022-09-22 12:49:51,464 - mmdet - INFO - Epoch [12][4300/7330] lr: 1.000e-04, eta: 22:35:11, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0333, loss_cls: 0.1743, acc: 93.7815, loss_bbox: 0.2173, loss_mask: 0.2261, loss: 0.6768 +2022-09-22 12:50:13,013 - mmdet - INFO - Epoch [12][4350/7330] lr: 1.000e-04, eta: 22:34:40, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0334, loss_cls: 0.1814, acc: 93.4878, loss_bbox: 0.2222, loss_mask: 0.2302, loss: 0.6912 +2022-09-22 12:50:34,835 - mmdet - INFO - Epoch [12][4400/7330] lr: 1.000e-04, eta: 22:34:11, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0356, loss_cls: 0.1808, acc: 93.6248, loss_bbox: 0.2160, loss_mask: 0.2243, loss: 0.6830 +2022-09-22 12:50:56,310 - mmdet - INFO - Epoch [12][4450/7330] lr: 1.000e-04, eta: 22:33:40, time: 0.429, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0329, loss_cls: 0.1716, acc: 93.8574, loss_bbox: 0.2126, loss_mask: 0.2221, loss: 0.6650 +2022-09-22 12:51:18,309 - mmdet - INFO - Epoch [12][4500/7330] lr: 1.000e-04, eta: 22:33:13, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0324, loss_cls: 0.1776, acc: 93.6311, loss_bbox: 0.2138, loss_mask: 0.2193, loss: 0.6689 +2022-09-22 12:51:39,913 - mmdet - INFO - Epoch [12][4550/7330] lr: 1.000e-04, eta: 22:32:42, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0347, loss_cls: 0.1753, acc: 93.6853, loss_bbox: 0.2186, loss_mask: 0.2253, loss: 0.6821 +2022-09-22 12:52:01,867 - mmdet - INFO - Epoch [12][4600/7330] lr: 1.000e-04, eta: 22:32:15, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0355, loss_cls: 0.1777, acc: 93.4561, loss_bbox: 0.2256, loss_mask: 0.2275, loss: 0.6914 +2022-09-22 12:52:23,742 - mmdet - INFO - Epoch [12][4650/7330] lr: 1.000e-04, eta: 22:31:46, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0335, loss_cls: 0.1728, acc: 93.9216, loss_bbox: 0.2071, loss_mask: 0.2222, loss: 0.6608 +2022-09-22 12:52:45,526 - mmdet - INFO - Epoch [12][4700/7330] lr: 1.000e-04, eta: 22:31:17, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0354, loss_cls: 0.1792, acc: 93.5249, loss_bbox: 0.2241, loss_mask: 0.2240, loss: 0.6881 +2022-09-22 12:53:07,855 - mmdet - INFO - Epoch [12][4750/7330] lr: 1.000e-04, eta: 22:30:52, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0337, loss_cls: 0.1771, acc: 93.6030, loss_bbox: 0.2181, loss_mask: 0.2207, loss: 0.6757 +2022-09-22 12:53:29,837 - mmdet - INFO - Epoch [12][4800/7330] lr: 1.000e-04, eta: 22:30:24, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0345, loss_cls: 0.1777, acc: 93.6816, loss_bbox: 0.2210, loss_mask: 0.2229, loss: 0.6821 +2022-09-22 12:53:52,088 - mmdet - INFO - Epoch [12][4850/7330] lr: 1.000e-04, eta: 22:29:59, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0347, loss_cls: 0.1748, acc: 93.6653, loss_bbox: 0.2181, loss_mask: 0.2284, loss: 0.6819 +2022-09-22 12:54:13,907 - mmdet - INFO - Epoch [12][4900/7330] lr: 1.000e-04, eta: 22:29:31, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0328, loss_cls: 0.1667, acc: 93.8938, loss_bbox: 0.2102, loss_mask: 0.2235, loss: 0.6572 +2022-09-22 12:54:35,478 - mmdet - INFO - Epoch [12][4950/7330] lr: 1.000e-04, eta: 22:29:00, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0328, loss_cls: 0.1718, acc: 93.7412, loss_bbox: 0.2154, loss_mask: 0.2235, loss: 0.6719 +2022-09-22 12:54:57,600 - mmdet - INFO - Epoch [12][5000/7330] lr: 1.000e-04, eta: 22:28:34, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0313, loss_cls: 0.1691, acc: 93.9294, loss_bbox: 0.2043, loss_mask: 0.2212, loss: 0.6498 +2022-09-22 12:55:19,493 - mmdet - INFO - Epoch [12][5050/7330] lr: 1.000e-04, eta: 22:28:06, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0331, loss_cls: 0.1756, acc: 93.6956, loss_bbox: 0.2187, loss_mask: 0.2217, loss: 0.6735 +2022-09-22 12:55:41,881 - mmdet - INFO - Epoch [12][5100/7330] lr: 1.000e-04, eta: 22:27:41, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0338, loss_cls: 0.1804, acc: 93.6040, loss_bbox: 0.2249, loss_mask: 0.2288, loss: 0.6918 +2022-09-22 12:56:04,298 - mmdet - INFO - Epoch [12][5150/7330] lr: 1.000e-04, eta: 22:27:17, time: 0.449, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0346, loss_cls: 0.1794, acc: 93.5977, loss_bbox: 0.2220, loss_mask: 0.2205, loss: 0.6827 +2022-09-22 12:56:26,163 - mmdet - INFO - Epoch [12][5200/7330] lr: 1.000e-04, eta: 22:26:48, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0321, loss_cls: 0.1679, acc: 94.0447, loss_bbox: 0.2053, loss_mask: 0.2210, loss: 0.6516 +2022-09-22 12:56:47,752 - mmdet - INFO - Epoch [12][5250/7330] lr: 1.000e-04, eta: 22:26:18, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0314, loss_cls: 0.1711, acc: 93.8623, loss_bbox: 0.2103, loss_mask: 0.2231, loss: 0.6612 +2022-09-22 12:57:09,832 - mmdet - INFO - Epoch [12][5300/7330] lr: 1.000e-04, eta: 22:25:52, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0351, loss_cls: 0.1837, acc: 93.5244, loss_bbox: 0.2174, loss_mask: 0.2268, loss: 0.6890 +2022-09-22 12:57:31,563 - mmdet - INFO - Epoch [12][5350/7330] lr: 1.000e-04, eta: 22:25:23, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0324, loss_cls: 0.1856, acc: 93.3794, loss_bbox: 0.2239, loss_mask: 0.2280, loss: 0.6959 +2022-09-22 12:57:53,923 - mmdet - INFO - Epoch [12][5400/7330] lr: 1.000e-04, eta: 22:24:58, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0348, loss_cls: 0.1774, acc: 93.6045, loss_bbox: 0.2203, loss_mask: 0.2247, loss: 0.6819 +2022-09-22 12:58:16,092 - mmdet - INFO - Epoch [12][5450/7330] lr: 1.000e-04, eta: 22:24:32, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0342, loss_cls: 0.1778, acc: 93.6401, loss_bbox: 0.2168, loss_mask: 0.2268, loss: 0.6806 +2022-09-22 12:58:37,654 - mmdet - INFO - Epoch [12][5500/7330] lr: 1.000e-04, eta: 22:24:02, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0344, loss_cls: 0.1798, acc: 93.4788, loss_bbox: 0.2228, loss_mask: 0.2293, loss: 0.6922 +2022-09-22 12:58:59,156 - mmdet - INFO - Epoch [12][5550/7330] lr: 1.000e-04, eta: 22:23:32, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0298, loss_cls: 0.1737, acc: 93.8430, loss_bbox: 0.2074, loss_mask: 0.2244, loss: 0.6589 +2022-09-22 12:59:21,164 - mmdet - INFO - Epoch [12][5600/7330] lr: 1.000e-04, eta: 22:23:05, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0334, loss_cls: 0.1737, acc: 93.6501, loss_bbox: 0.2162, loss_mask: 0.2254, loss: 0.6744 +2022-09-22 12:59:43,400 - mmdet - INFO - Epoch [12][5650/7330] lr: 1.000e-04, eta: 22:22:39, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0296, loss_cls: 0.1616, acc: 94.2405, loss_bbox: 0.2027, loss_mask: 0.2175, loss: 0.6338 +2022-09-22 13:00:05,241 - mmdet - INFO - Epoch [12][5700/7330] lr: 1.000e-04, eta: 22:22:11, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0316, loss_cls: 0.1764, acc: 93.6802, loss_bbox: 0.2151, loss_mask: 0.2270, loss: 0.6738 +2022-09-22 13:00:26,860 - mmdet - INFO - Epoch [12][5750/7330] lr: 1.000e-04, eta: 22:21:42, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0326, loss_cls: 0.1757, acc: 93.6792, loss_bbox: 0.2149, loss_mask: 0.2248, loss: 0.6729 +2022-09-22 13:00:48,307 - mmdet - INFO - Epoch [12][5800/7330] lr: 1.000e-04, eta: 22:21:11, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0328, loss_cls: 0.1714, acc: 93.8770, loss_bbox: 0.2156, loss_mask: 0.2229, loss: 0.6688 +2022-09-22 13:01:10,068 - mmdet - INFO - Epoch [12][5850/7330] lr: 1.000e-04, eta: 22:20:43, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0334, loss_cls: 0.1718, acc: 93.9458, loss_bbox: 0.2102, loss_mask: 0.2254, loss: 0.6664 +2022-09-22 13:01:31,465 - mmdet - INFO - Epoch [12][5900/7330] lr: 1.000e-04, eta: 22:20:12, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0302, loss_cls: 0.1654, acc: 93.9792, loss_bbox: 0.2034, loss_mask: 0.2147, loss: 0.6372 +2022-09-22 13:01:53,114 - mmdet - INFO - Epoch [12][5950/7330] lr: 1.000e-04, eta: 22:19:43, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0322, loss_cls: 0.1784, acc: 93.6636, loss_bbox: 0.2209, loss_mask: 0.2211, loss: 0.6772 +2022-09-22 13:02:15,021 - mmdet - INFO - Epoch [12][6000/7330] lr: 1.000e-04, eta: 22:19:15, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0322, loss_cls: 0.1747, acc: 93.7178, loss_bbox: 0.2149, loss_mask: 0.2233, loss: 0.6704 +2022-09-22 13:02:36,994 - mmdet - INFO - Epoch [12][6050/7330] lr: 1.000e-04, eta: 22:18:48, time: 0.440, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0315, loss_cls: 0.1685, acc: 94.0281, loss_bbox: 0.2052, loss_mask: 0.2195, loss: 0.6510 +2022-09-22 13:02:58,647 - mmdet - INFO - Epoch [12][6100/7330] lr: 1.000e-04, eta: 22:18:19, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0333, loss_cls: 0.1704, acc: 93.9065, loss_bbox: 0.2056, loss_mask: 0.2249, loss: 0.6627 +2022-09-22 13:03:20,584 - mmdet - INFO - Epoch [12][6150/7330] lr: 1.000e-04, eta: 22:17:52, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0323, loss_cls: 0.1790, acc: 93.5151, loss_bbox: 0.2188, loss_mask: 0.2255, loss: 0.6818 +2022-09-22 13:03:42,488 - mmdet - INFO - Epoch [12][6200/7330] lr: 1.000e-04, eta: 22:17:24, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0318, loss_cls: 0.1724, acc: 93.7456, loss_bbox: 0.2098, loss_mask: 0.2253, loss: 0.6640 +2022-09-22 13:04:04,695 - mmdet - INFO - Epoch [12][6250/7330] lr: 1.000e-04, eta: 22:16:59, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0303, loss_cls: 0.1725, acc: 93.8508, loss_bbox: 0.2121, loss_mask: 0.2267, loss: 0.6656 +2022-09-22 13:04:26,628 - mmdet - INFO - Epoch [12][6300/7330] lr: 1.000e-04, eta: 22:16:32, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0322, loss_cls: 0.1732, acc: 93.8462, loss_bbox: 0.2135, loss_mask: 0.2285, loss: 0.6724 +2022-09-22 13:04:48,227 - mmdet - INFO - Epoch [12][6350/7330] lr: 1.000e-04, eta: 22:16:02, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0313, loss_cls: 0.1675, acc: 93.8853, loss_bbox: 0.2151, loss_mask: 0.2273, loss: 0.6655 +2022-09-22 13:05:10,296 - mmdet - INFO - Epoch [12][6400/7330] lr: 1.000e-04, eta: 22:15:36, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0333, loss_cls: 0.1718, acc: 93.7800, loss_bbox: 0.2141, loss_mask: 0.2301, loss: 0.6746 +2022-09-22 13:05:32,369 - mmdet - INFO - Epoch [12][6450/7330] lr: 1.000e-04, eta: 22:15:10, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0352, loss_cls: 0.1771, acc: 93.5940, loss_bbox: 0.2257, loss_mask: 0.2280, loss: 0.6916 +2022-09-22 13:05:54,337 - mmdet - INFO - Epoch [12][6500/7330] lr: 1.000e-04, eta: 22:14:43, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0326, loss_cls: 0.1756, acc: 93.7634, loss_bbox: 0.2090, loss_mask: 0.2183, loss: 0.6588 +2022-09-22 13:06:16,505 - mmdet - INFO - Epoch [12][6550/7330] lr: 1.000e-04, eta: 22:14:17, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0327, loss_cls: 0.1751, acc: 93.7310, loss_bbox: 0.2135, loss_mask: 0.2321, loss: 0.6774 +2022-09-22 13:06:38,501 - mmdet - INFO - Epoch [12][6600/7330] lr: 1.000e-04, eta: 22:13:51, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0346, loss_cls: 0.1831, acc: 93.4976, loss_bbox: 0.2218, loss_mask: 0.2252, loss: 0.6904 +2022-09-22 13:07:00,486 - mmdet - INFO - Epoch [12][6650/7330] lr: 1.000e-04, eta: 22:13:24, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0345, loss_cls: 0.1816, acc: 93.5195, loss_bbox: 0.2221, loss_mask: 0.2264, loss: 0.6900 +2022-09-22 13:07:22,362 - mmdet - INFO - Epoch [12][6700/7330] lr: 1.000e-04, eta: 22:12:56, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0334, loss_cls: 0.1755, acc: 93.7566, loss_bbox: 0.2173, loss_mask: 0.2197, loss: 0.6713 +2022-09-22 13:07:44,476 - mmdet - INFO - Epoch [12][6750/7330] lr: 1.000e-04, eta: 22:12:30, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0332, loss_cls: 0.1768, acc: 93.5889, loss_bbox: 0.2214, loss_mask: 0.2270, loss: 0.6830 +2022-09-22 13:08:06,169 - mmdet - INFO - Epoch [12][6800/7330] lr: 1.000e-04, eta: 22:12:02, time: 0.434, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0345, loss_cls: 0.1701, acc: 93.8313, loss_bbox: 0.2145, loss_mask: 0.2277, loss: 0.6735 +2022-09-22 13:08:27,801 - mmdet - INFO - Epoch [12][6850/7330] lr: 1.000e-04, eta: 22:11:33, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0325, loss_cls: 0.1718, acc: 93.8958, loss_bbox: 0.2114, loss_mask: 0.2166, loss: 0.6572 +2022-09-22 13:08:49,543 - mmdet - INFO - Epoch [12][6900/7330] lr: 1.000e-04, eta: 22:11:05, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0318, loss_cls: 0.1722, acc: 93.7522, loss_bbox: 0.2176, loss_mask: 0.2243, loss: 0.6701 +2022-09-22 13:09:11,571 - mmdet - INFO - Epoch [12][6950/7330] lr: 1.000e-04, eta: 22:10:38, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0342, loss_cls: 0.1815, acc: 93.5037, loss_bbox: 0.2197, loss_mask: 0.2279, loss: 0.6911 +2022-09-22 13:09:32,930 - mmdet - INFO - Epoch [12][7000/7330] lr: 1.000e-04, eta: 22:10:08, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0316, loss_cls: 0.1744, acc: 93.7200, loss_bbox: 0.2151, loss_mask: 0.2257, loss: 0.6702 +2022-09-22 13:09:54,792 - mmdet - INFO - Epoch [12][7050/7330] lr: 1.000e-04, eta: 22:09:41, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0347, loss_cls: 0.1852, acc: 93.3428, loss_bbox: 0.2258, loss_mask: 0.2309, loss: 0.7008 +2022-09-22 13:10:16,424 - mmdet - INFO - Epoch [12][7100/7330] lr: 1.000e-04, eta: 22:09:12, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0343, loss_cls: 0.1818, acc: 93.4731, loss_bbox: 0.2187, loss_mask: 0.2253, loss: 0.6869 +2022-09-22 13:10:37,863 - mmdet - INFO - Epoch [12][7150/7330] lr: 1.000e-04, eta: 22:08:42, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0325, loss_cls: 0.1695, acc: 93.8792, loss_bbox: 0.2124, loss_mask: 0.2235, loss: 0.6613 +2022-09-22 13:10:59,402 - mmdet - INFO - Epoch [12][7200/7330] lr: 1.000e-04, eta: 22:08:13, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0323, loss_cls: 0.1658, acc: 93.9817, loss_bbox: 0.2069, loss_mask: 0.2291, loss: 0.6598 +2022-09-22 13:11:21,261 - mmdet - INFO - Epoch [12][7250/7330] lr: 1.000e-04, eta: 22:07:45, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0323, loss_cls: 0.1648, acc: 94.0879, loss_bbox: 0.2052, loss_mask: 0.2170, loss: 0.6451 +2022-09-22 13:11:43,092 - mmdet - INFO - Epoch [12][7300/7330] lr: 1.000e-04, eta: 22:07:18, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0333, loss_cls: 0.1745, acc: 93.7322, loss_bbox: 0.2129, loss_mask: 0.2265, loss: 0.6719 +2022-09-22 13:12:05,565 - mmdet - INFO - Saving checkpoint at 12 epochs +2022-09-22 13:13:49,655 - mmdet - INFO - Evaluating bbox... +2022-09-22 13:14:18,865 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.469 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.702 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.518 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.316 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.507 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.606 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.604 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.438 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.646 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.743 + +2022-09-22 13:14:18,865 - mmdet - INFO - Evaluating segm... +2022-09-22 13:14:53,036 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.425 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.670 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.461 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.243 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.458 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.618 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.551 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.551 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.551 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.380 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.596 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.710 + +2022-09-22 13:14:53,545 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 13:14:53,546 - mmdet - INFO - Epoch(val) [12][625] bbox_mAP: 0.4690, bbox_mAP_50: 0.7020, bbox_mAP_75: 0.5180, bbox_mAP_s: 0.3160, bbox_mAP_m: 0.5070, bbox_mAP_l: 0.6060, bbox_mAP_copypaste: 0.469 0.702 0.518 0.316 0.507 0.606, segm_mAP: 0.4250, segm_mAP_50: 0.6700, segm_mAP_75: 0.4610, segm_mAP_s: 0.2430, segm_mAP_m: 0.4580, segm_mAP_l: 0.6180, segm_mAP_copypaste: 0.425 0.670 0.461 0.243 0.458 0.618 +2022-09-22 13:17:04,105 - mmdet - INFO - Epoch [13][50/7330] lr: 1.000e-04, eta: 22:16:07, time: 2.610, data_time: 2.166, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0337, loss_cls: 0.1707, acc: 93.7510, loss_bbox: 0.2136, loss_mask: 0.2229, loss: 0.6680 +2022-09-22 13:17:26,808 - mmdet - INFO - Epoch [13][100/7330] lr: 1.000e-04, eta: 22:15:43, time: 0.454, data_time: 0.027, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0322, loss_cls: 0.1658, acc: 93.9861, loss_bbox: 0.2079, loss_mask: 0.2216, loss: 0.6510 +2022-09-22 13:17:48,818 - mmdet - INFO - Epoch [13][150/7330] lr: 1.000e-04, eta: 22:15:16, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0314, loss_cls: 0.1686, acc: 94.0054, loss_bbox: 0.2098, loss_mask: 0.2236, loss: 0.6579 +2022-09-22 13:18:11,324 - mmdet - INFO - Epoch [13][200/7330] lr: 1.000e-04, eta: 22:14:51, time: 0.450, data_time: 0.028, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0348, loss_cls: 0.1737, acc: 93.6484, loss_bbox: 0.2184, loss_mask: 0.2207, loss: 0.6743 +2022-09-22 13:18:33,565 - mmdet - INFO - Epoch [13][250/7330] lr: 1.000e-04, eta: 22:14:25, time: 0.445, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0347, loss_cls: 0.1796, acc: 93.5737, loss_bbox: 0.2174, loss_mask: 0.2227, loss: 0.6832 +2022-09-22 13:18:55,784 - mmdet - INFO - Epoch [13][300/7330] lr: 1.000e-04, eta: 22:13:59, time: 0.444, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0365, loss_cls: 0.1823, acc: 93.4282, loss_bbox: 0.2226, loss_mask: 0.2303, loss: 0.6989 +2022-09-22 13:19:18,560 - mmdet - INFO - Epoch [13][350/7330] lr: 1.000e-04, eta: 22:13:36, time: 0.456, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0340, loss_cls: 0.1744, acc: 93.7676, loss_bbox: 0.2195, loss_mask: 0.2197, loss: 0.6713 +2022-09-22 13:19:40,721 - mmdet - INFO - Epoch [13][400/7330] lr: 1.000e-04, eta: 22:13:10, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0326, loss_cls: 0.1703, acc: 93.8982, loss_bbox: 0.2103, loss_mask: 0.2216, loss: 0.6615 +2022-09-22 13:20:02,903 - mmdet - INFO - Epoch [13][450/7330] lr: 1.000e-04, eta: 22:12:43, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0341, loss_cls: 0.1716, acc: 93.7175, loss_bbox: 0.2164, loss_mask: 0.2277, loss: 0.6755 +2022-09-22 13:20:24,840 - mmdet - INFO - Epoch [13][500/7330] lr: 1.000e-04, eta: 22:12:16, time: 0.439, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0332, loss_cls: 0.1644, acc: 94.0562, loss_bbox: 0.2107, loss_mask: 0.2166, loss: 0.6491 +2022-09-22 13:20:46,570 - mmdet - INFO - Epoch [13][550/7330] lr: 1.000e-04, eta: 22:11:46, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0324, loss_cls: 0.1592, acc: 94.2292, loss_bbox: 0.2033, loss_mask: 0.2194, loss: 0.6369 +2022-09-22 13:21:08,456 - mmdet - INFO - Epoch [13][600/7330] lr: 1.000e-04, eta: 22:11:19, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0317, loss_cls: 0.1710, acc: 93.7781, loss_bbox: 0.2131, loss_mask: 0.2264, loss: 0.6671 +2022-09-22 13:21:30,472 - mmdet - INFO - Epoch [13][650/7330] lr: 1.000e-04, eta: 22:10:51, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0341, loss_cls: 0.1821, acc: 93.5503, loss_bbox: 0.2188, loss_mask: 0.2337, loss: 0.6940 +2022-09-22 13:21:52,777 - mmdet - INFO - Epoch [13][700/7330] lr: 1.000e-04, eta: 22:10:26, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0326, loss_cls: 0.1751, acc: 93.7424, loss_bbox: 0.2153, loss_mask: 0.2219, loss: 0.6680 +2022-09-22 13:22:14,585 - mmdet - INFO - Epoch [13][750/7330] lr: 1.000e-04, eta: 22:09:57, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0331, loss_cls: 0.1728, acc: 93.7756, loss_bbox: 0.2159, loss_mask: 0.2187, loss: 0.6654 +2022-09-22 13:22:36,297 - mmdet - INFO - Epoch [13][800/7330] lr: 1.000e-04, eta: 22:09:28, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0313, loss_cls: 0.1645, acc: 94.1057, loss_bbox: 0.2047, loss_mask: 0.2125, loss: 0.6370 +2022-09-22 13:22:58,262 - mmdet - INFO - Epoch [13][850/7330] lr: 1.000e-04, eta: 22:09:01, time: 0.440, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0333, loss_cls: 0.1724, acc: 93.7258, loss_bbox: 0.2159, loss_mask: 0.2232, loss: 0.6692 +2022-09-22 13:23:20,612 - mmdet - INFO - Epoch [13][900/7330] lr: 1.000e-04, eta: 22:08:36, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0330, loss_cls: 0.1749, acc: 93.7222, loss_bbox: 0.2167, loss_mask: 0.2256, loss: 0.6773 +2022-09-22 13:23:42,391 - mmdet - INFO - Epoch [13][950/7330] lr: 1.000e-04, eta: 22:08:07, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0326, loss_cls: 0.1705, acc: 93.9175, loss_bbox: 0.2120, loss_mask: 0.2260, loss: 0.6664 +2022-09-22 13:24:03,689 - mmdet - INFO - Epoch [13][1000/7330] lr: 1.000e-04, eta: 22:07:36, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0334, loss_cls: 0.1732, acc: 93.6758, loss_bbox: 0.2203, loss_mask: 0.2224, loss: 0.6727 +2022-09-22 13:24:25,363 - mmdet - INFO - Epoch [13][1050/7330] lr: 1.000e-04, eta: 22:07:07, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0317, loss_cls: 0.1672, acc: 93.9663, loss_bbox: 0.2049, loss_mask: 0.2199, loss: 0.6472 +2022-09-22 13:24:47,316 - mmdet - INFO - Epoch [13][1100/7330] lr: 1.000e-04, eta: 22:06:39, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0331, loss_cls: 0.1764, acc: 93.6086, loss_bbox: 0.2168, loss_mask: 0.2183, loss: 0.6698 +2022-09-22 13:25:08,762 - mmdet - INFO - Epoch [13][1150/7330] lr: 1.000e-04, eta: 22:06:09, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0321, loss_cls: 0.1743, acc: 93.8145, loss_bbox: 0.2156, loss_mask: 0.2229, loss: 0.6692 +2022-09-22 13:25:30,296 - mmdet - INFO - Epoch [13][1200/7330] lr: 1.000e-04, eta: 22:05:39, time: 0.431, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0320, loss_cls: 0.1613, acc: 94.2019, loss_bbox: 0.1967, loss_mask: 0.2153, loss: 0.6308 +2022-09-22 13:25:51,804 - mmdet - INFO - Epoch [13][1250/7330] lr: 1.000e-04, eta: 22:05:09, time: 0.430, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0335, loss_cls: 0.1658, acc: 94.0403, loss_bbox: 0.2094, loss_mask: 0.2246, loss: 0.6569 +2022-09-22 13:26:13,673 - mmdet - INFO - Epoch [13][1300/7330] lr: 1.000e-04, eta: 22:04:41, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0336, loss_cls: 0.1680, acc: 93.8799, loss_bbox: 0.2130, loss_mask: 0.2263, loss: 0.6654 +2022-09-22 13:26:37,015 - mmdet - INFO - Epoch [13][1350/7330] lr: 1.000e-04, eta: 22:04:22, time: 0.467, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0324, loss_cls: 0.1674, acc: 93.8811, loss_bbox: 0.2125, loss_mask: 0.2216, loss: 0.6572 +2022-09-22 13:26:58,972 - mmdet - INFO - Epoch [13][1400/7330] lr: 1.000e-04, eta: 22:03:55, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0299, loss_cls: 0.1666, acc: 94.0403, loss_bbox: 0.2073, loss_mask: 0.2144, loss: 0.6402 +2022-09-22 13:27:21,021 - mmdet - INFO - Epoch [13][1450/7330] lr: 1.000e-04, eta: 22:03:28, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0332, loss_cls: 0.1604, acc: 94.2754, loss_bbox: 0.1990, loss_mask: 0.2169, loss: 0.6352 +2022-09-22 13:27:43,120 - mmdet - INFO - Epoch [13][1500/7330] lr: 1.000e-04, eta: 22:03:01, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0353, loss_cls: 0.1691, acc: 93.9006, loss_bbox: 0.2105, loss_mask: 0.2200, loss: 0.6577 +2022-09-22 13:28:04,524 - mmdet - INFO - Epoch [13][1550/7330] lr: 1.000e-04, eta: 22:02:31, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0309, loss_cls: 0.1723, acc: 93.8242, loss_bbox: 0.2084, loss_mask: 0.2199, loss: 0.6563 +2022-09-22 13:28:26,394 - mmdet - INFO - Epoch [13][1600/7330] lr: 1.000e-04, eta: 22:02:03, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0349, loss_cls: 0.1757, acc: 93.6655, loss_bbox: 0.2210, loss_mask: 0.2227, loss: 0.6790 +2022-09-22 13:28:48,469 - mmdet - INFO - Epoch [13][1650/7330] lr: 1.000e-04, eta: 22:01:37, time: 0.441, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0326, loss_cls: 0.1673, acc: 93.8584, loss_bbox: 0.2163, loss_mask: 0.2204, loss: 0.6604 +2022-09-22 13:29:10,618 - mmdet - INFO - Epoch [13][1700/7330] lr: 1.000e-04, eta: 22:01:10, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0313, loss_cls: 0.1704, acc: 93.9526, loss_bbox: 0.2118, loss_mask: 0.2221, loss: 0.6597 +2022-09-22 13:29:32,906 - mmdet - INFO - Epoch [13][1750/7330] lr: 1.000e-04, eta: 22:00:45, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0341, loss_cls: 0.1783, acc: 93.5010, loss_bbox: 0.2214, loss_mask: 0.2228, loss: 0.6823 +2022-09-22 13:29:55,205 - mmdet - INFO - Epoch [13][1800/7330] lr: 1.000e-04, eta: 22:00:20, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0333, loss_cls: 0.1721, acc: 93.8645, loss_bbox: 0.2139, loss_mask: 0.2234, loss: 0.6691 +2022-09-22 13:30:17,176 - mmdet - INFO - Epoch [13][1850/7330] lr: 1.000e-04, eta: 21:59:53, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0323, loss_cls: 0.1672, acc: 93.9441, loss_bbox: 0.2136, loss_mask: 0.2246, loss: 0.6614 +2022-09-22 13:30:39,103 - mmdet - INFO - Epoch [13][1900/7330] lr: 1.000e-04, eta: 21:59:25, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0291, loss_cls: 0.1559, acc: 94.2449, loss_bbox: 0.2006, loss_mask: 0.2175, loss: 0.6249 +2022-09-22 13:31:01,533 - mmdet - INFO - Epoch [13][1950/7330] lr: 1.000e-04, eta: 21:59:01, time: 0.449, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0350, loss_cls: 0.1811, acc: 93.4319, loss_bbox: 0.2193, loss_mask: 0.2233, loss: 0.6854 +2022-09-22 13:31:22,927 - mmdet - INFO - Epoch [13][2000/7330] lr: 1.000e-04, eta: 21:58:31, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0322, loss_cls: 0.1762, acc: 93.8032, loss_bbox: 0.2118, loss_mask: 0.2237, loss: 0.6677 +2022-09-22 13:31:44,609 - mmdet - INFO - Epoch [13][2050/7330] lr: 1.000e-04, eta: 21:58:02, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0319, loss_cls: 0.1723, acc: 93.9097, loss_bbox: 0.2112, loss_mask: 0.2207, loss: 0.6597 +2022-09-22 13:32:06,361 - mmdet - INFO - Epoch [13][2100/7330] lr: 1.000e-04, eta: 21:57:34, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0296, loss_cls: 0.1665, acc: 93.9944, loss_bbox: 0.2061, loss_mask: 0.2191, loss: 0.6426 +2022-09-22 13:32:28,365 - mmdet - INFO - Epoch [13][2150/7330] lr: 1.000e-04, eta: 21:57:07, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0347, loss_cls: 0.1686, acc: 93.9463, loss_bbox: 0.2103, loss_mask: 0.2206, loss: 0.6604 +2022-09-22 13:32:50,395 - mmdet - INFO - Epoch [13][2200/7330] lr: 1.000e-04, eta: 21:56:40, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0323, loss_cls: 0.1684, acc: 93.8589, loss_bbox: 0.2065, loss_mask: 0.2231, loss: 0.6545 +2022-09-22 13:33:12,444 - mmdet - INFO - Epoch [13][2250/7330] lr: 1.000e-04, eta: 21:56:14, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0342, loss_cls: 0.1761, acc: 93.6404, loss_bbox: 0.2202, loss_mask: 0.2225, loss: 0.6787 +2022-09-22 13:33:34,868 - mmdet - INFO - Epoch [13][2300/7330] lr: 1.000e-04, eta: 21:55:48, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0361, loss_cls: 0.1619, acc: 94.1582, loss_bbox: 0.2077, loss_mask: 0.2181, loss: 0.6501 +2022-09-22 13:33:57,078 - mmdet - INFO - Epoch [13][2350/7330] lr: 1.000e-04, eta: 21:55:24, time: 0.448, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0316, loss_cls: 0.1629, acc: 93.9822, loss_bbox: 0.2065, loss_mask: 0.2195, loss: 0.6438 +2022-09-22 13:34:19,251 - mmdet - INFO - Epoch [13][2400/7330] lr: 1.000e-04, eta: 21:54:58, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0339, loss_cls: 0.1731, acc: 93.7708, loss_bbox: 0.2111, loss_mask: 0.2221, loss: 0.6631 +2022-09-22 13:34:40,926 - mmdet - INFO - Epoch [13][2450/7330] lr: 1.000e-04, eta: 21:54:29, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0352, loss_cls: 0.1759, acc: 93.7507, loss_bbox: 0.2181, loss_mask: 0.2244, loss: 0.6809 +2022-09-22 13:35:02,758 - mmdet - INFO - Epoch [13][2500/7330] lr: 1.000e-04, eta: 21:54:02, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0306, loss_cls: 0.1673, acc: 94.0024, loss_bbox: 0.2023, loss_mask: 0.2186, loss: 0.6424 +2022-09-22 13:35:24,540 - mmdet - INFO - Epoch [13][2550/7330] lr: 1.000e-04, eta: 21:53:34, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0316, loss_cls: 0.1681, acc: 93.8975, loss_bbox: 0.2091, loss_mask: 0.2172, loss: 0.6506 +2022-09-22 13:35:46,372 - mmdet - INFO - Epoch [13][2600/7330] lr: 1.000e-04, eta: 21:53:06, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0347, loss_cls: 0.1772, acc: 93.7209, loss_bbox: 0.2201, loss_mask: 0.2242, loss: 0.6830 +2022-09-22 13:36:08,530 - mmdet - INFO - Epoch [13][2650/7330] lr: 1.000e-04, eta: 21:52:40, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0331, loss_cls: 0.1746, acc: 93.6562, loss_bbox: 0.2191, loss_mask: 0.2242, loss: 0.6742 +2022-09-22 13:36:30,548 - mmdet - INFO - Epoch [13][2700/7330] lr: 1.000e-04, eta: 21:52:14, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0345, loss_cls: 0.1827, acc: 93.4346, loss_bbox: 0.2246, loss_mask: 0.2270, loss: 0.6949 +2022-09-22 13:36:52,467 - mmdet - INFO - Epoch [13][2750/7330] lr: 1.000e-04, eta: 21:51:47, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0321, loss_cls: 0.1681, acc: 93.9360, loss_bbox: 0.2096, loss_mask: 0.2212, loss: 0.6541 +2022-09-22 13:37:14,276 - mmdet - INFO - Epoch [13][2800/7330] lr: 1.000e-04, eta: 21:51:19, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0327, loss_cls: 0.1693, acc: 93.7991, loss_bbox: 0.2105, loss_mask: 0.2292, loss: 0.6676 +2022-09-22 13:37:35,852 - mmdet - INFO - Epoch [13][2850/7330] lr: 1.000e-04, eta: 21:50:50, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0327, loss_cls: 0.1677, acc: 93.9470, loss_bbox: 0.2091, loss_mask: 0.2244, loss: 0.6591 +2022-09-22 13:37:58,017 - mmdet - INFO - Epoch [13][2900/7330] lr: 1.000e-04, eta: 21:50:24, time: 0.443, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0323, loss_cls: 0.1644, acc: 94.1504, loss_bbox: 0.2027, loss_mask: 0.2175, loss: 0.6425 +2022-09-22 13:38:19,925 - mmdet - INFO - Epoch [13][2950/7330] lr: 1.000e-04, eta: 21:49:57, time: 0.438, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0334, loss_cls: 0.1806, acc: 93.6460, loss_bbox: 0.2159, loss_mask: 0.2244, loss: 0.6803 +2022-09-22 13:38:41,957 - mmdet - INFO - Epoch [13][3000/7330] lr: 1.000e-04, eta: 21:49:31, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0316, loss_cls: 0.1706, acc: 93.8269, loss_bbox: 0.2155, loss_mask: 0.2231, loss: 0.6665 +2022-09-22 13:39:03,795 - mmdet - INFO - Epoch [13][3050/7330] lr: 1.000e-04, eta: 21:49:03, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0328, loss_cls: 0.1641, acc: 94.1228, loss_bbox: 0.2003, loss_mask: 0.2219, loss: 0.6450 +2022-09-22 13:39:25,861 - mmdet - INFO - Epoch [13][3100/7330] lr: 1.000e-04, eta: 21:48:37, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0361, loss_cls: 0.1785, acc: 93.7449, loss_bbox: 0.2147, loss_mask: 0.2194, loss: 0.6730 +2022-09-22 13:39:48,294 - mmdet - INFO - Epoch [13][3150/7330] lr: 1.000e-04, eta: 21:48:13, time: 0.449, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0334, loss_cls: 0.1848, acc: 93.4116, loss_bbox: 0.2235, loss_mask: 0.2216, loss: 0.6871 +2022-09-22 13:40:10,745 - mmdet - INFO - Epoch [13][3200/7330] lr: 1.000e-04, eta: 21:47:49, time: 0.449, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0330, loss_cls: 0.1693, acc: 93.8655, loss_bbox: 0.2132, loss_mask: 0.2212, loss: 0.6599 +2022-09-22 13:40:32,495 - mmdet - INFO - Epoch [13][3250/7330] lr: 1.000e-04, eta: 21:47:21, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0309, loss_cls: 0.1573, acc: 94.3755, loss_bbox: 0.1953, loss_mask: 0.2144, loss: 0.6222 +2022-09-22 13:40:54,406 - mmdet - INFO - Epoch [13][3300/7330] lr: 1.000e-04, eta: 21:46:54, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0337, loss_cls: 0.1714, acc: 93.8623, loss_bbox: 0.2088, loss_mask: 0.2223, loss: 0.6621 +2022-09-22 13:41:16,152 - mmdet - INFO - Epoch [13][3350/7330] lr: 1.000e-04, eta: 21:46:26, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0321, loss_cls: 0.1655, acc: 93.9736, loss_bbox: 0.2065, loss_mask: 0.2249, loss: 0.6533 +2022-09-22 13:41:38,183 - mmdet - INFO - Epoch [13][3400/7330] lr: 1.000e-04, eta: 21:46:00, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0335, loss_cls: 0.1742, acc: 93.6462, loss_bbox: 0.2182, loss_mask: 0.2210, loss: 0.6691 +2022-09-22 13:41:59,847 - mmdet - INFO - Epoch [13][3450/7330] lr: 1.000e-04, eta: 21:45:32, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0310, loss_cls: 0.1718, acc: 93.8708, loss_bbox: 0.2098, loss_mask: 0.2232, loss: 0.6594 +2022-09-22 13:42:21,618 - mmdet - INFO - Epoch [13][3500/7330] lr: 1.000e-04, eta: 21:45:04, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0331, loss_cls: 0.1714, acc: 93.7151, loss_bbox: 0.2153, loss_mask: 0.2251, loss: 0.6689 +2022-09-22 13:42:43,200 - mmdet - INFO - Epoch [13][3550/7330] lr: 1.000e-04, eta: 21:44:35, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0327, loss_cls: 0.1752, acc: 93.7893, loss_bbox: 0.2135, loss_mask: 0.2191, loss: 0.6657 +2022-09-22 13:43:04,959 - mmdet - INFO - Epoch [13][3600/7330] lr: 1.000e-04, eta: 21:44:08, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0339, loss_cls: 0.1722, acc: 93.7922, loss_bbox: 0.2090, loss_mask: 0.2196, loss: 0.6603 +2022-09-22 13:43:26,457 - mmdet - INFO - Epoch [13][3650/7330] lr: 1.000e-04, eta: 21:43:39, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0325, loss_cls: 0.1771, acc: 93.6230, loss_bbox: 0.2145, loss_mask: 0.2216, loss: 0.6723 +2022-09-22 13:43:48,380 - mmdet - INFO - Epoch [13][3700/7330] lr: 1.000e-04, eta: 21:43:12, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0335, loss_cls: 0.1724, acc: 93.7500, loss_bbox: 0.2163, loss_mask: 0.2215, loss: 0.6674 +2022-09-22 13:44:10,740 - mmdet - INFO - Epoch [13][3750/7330] lr: 1.000e-04, eta: 21:42:48, time: 0.448, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0354, loss_cls: 0.1838, acc: 93.6265, loss_bbox: 0.2232, loss_mask: 0.2299, loss: 0.6988 +2022-09-22 13:44:33,015 - mmdet - INFO - Epoch [13][3800/7330] lr: 1.000e-04, eta: 21:42:23, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0336, loss_cls: 0.1711, acc: 93.6108, loss_bbox: 0.2209, loss_mask: 0.2259, loss: 0.6746 +2022-09-22 13:44:54,915 - mmdet - INFO - Epoch [13][3850/7330] lr: 1.000e-04, eta: 21:41:56, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0321, loss_cls: 0.1708, acc: 93.8689, loss_bbox: 0.2107, loss_mask: 0.2197, loss: 0.6570 +2022-09-22 13:45:17,077 - mmdet - INFO - Epoch [13][3900/7330] lr: 1.000e-04, eta: 21:41:30, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0336, loss_cls: 0.1766, acc: 93.6921, loss_bbox: 0.2144, loss_mask: 0.2252, loss: 0.6752 +2022-09-22 13:45:39,202 - mmdet - INFO - Epoch [13][3950/7330] lr: 1.000e-04, eta: 21:41:05, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0326, loss_cls: 0.1661, acc: 94.0818, loss_bbox: 0.2056, loss_mask: 0.2185, loss: 0.6487 +2022-09-22 13:46:00,910 - mmdet - INFO - Epoch [13][4000/7330] lr: 1.000e-04, eta: 21:40:37, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0323, loss_cls: 0.1660, acc: 94.0281, loss_bbox: 0.2058, loss_mask: 0.2224, loss: 0.6515 +2022-09-22 13:46:22,480 - mmdet - INFO - Epoch [13][4050/7330] lr: 1.000e-04, eta: 21:40:09, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0306, loss_cls: 0.1700, acc: 93.8884, loss_bbox: 0.2078, loss_mask: 0.2207, loss: 0.6527 +2022-09-22 13:46:44,456 - mmdet - INFO - Epoch [13][4100/7330] lr: 1.000e-04, eta: 21:39:42, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0306, loss_cls: 0.1762, acc: 93.7366, loss_bbox: 0.2118, loss_mask: 0.2181, loss: 0.6616 +2022-09-22 13:47:06,527 - mmdet - INFO - Epoch [13][4150/7330] lr: 1.000e-04, eta: 21:39:16, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0323, loss_cls: 0.1718, acc: 93.7292, loss_bbox: 0.2137, loss_mask: 0.2200, loss: 0.6622 +2022-09-22 13:47:28,585 - mmdet - INFO - Epoch [13][4200/7330] lr: 1.000e-04, eta: 21:38:50, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0341, loss_cls: 0.1720, acc: 93.8389, loss_bbox: 0.2121, loss_mask: 0.2262, loss: 0.6690 +2022-09-22 13:47:49,911 - mmdet - INFO - Epoch [13][4250/7330] lr: 1.000e-04, eta: 21:38:21, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0319, loss_cls: 0.1780, acc: 93.6235, loss_bbox: 0.2171, loss_mask: 0.2225, loss: 0.6745 +2022-09-22 13:48:11,908 - mmdet - INFO - Epoch [13][4300/7330] lr: 1.000e-04, eta: 21:37:54, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0313, loss_cls: 0.1673, acc: 94.0132, loss_bbox: 0.2034, loss_mask: 0.2175, loss: 0.6442 +2022-09-22 13:48:33,739 - mmdet - INFO - Epoch [13][4350/7330] lr: 1.000e-04, eta: 21:37:27, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0320, loss_cls: 0.1681, acc: 93.9685, loss_bbox: 0.2093, loss_mask: 0.2194, loss: 0.6545 +2022-09-22 13:48:55,328 - mmdet - INFO - Epoch [13][4400/7330] lr: 1.000e-04, eta: 21:36:59, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0324, loss_cls: 0.1807, acc: 93.4763, loss_bbox: 0.2165, loss_mask: 0.2272, loss: 0.6810 +2022-09-22 13:49:17,083 - mmdet - INFO - Epoch [13][4450/7330] lr: 1.000e-04, eta: 21:36:32, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0327, loss_cls: 0.1771, acc: 93.6990, loss_bbox: 0.2131, loss_mask: 0.2197, loss: 0.6694 +2022-09-22 13:49:39,175 - mmdet - INFO - Epoch [13][4500/7330] lr: 1.000e-04, eta: 21:36:06, time: 0.442, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0345, loss_cls: 0.1868, acc: 93.3420, loss_bbox: 0.2286, loss_mask: 0.2233, loss: 0.6998 +2022-09-22 13:50:00,680 - mmdet - INFO - Epoch [13][4550/7330] lr: 1.000e-04, eta: 21:35:37, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0325, loss_cls: 0.1733, acc: 93.7126, loss_bbox: 0.2165, loss_mask: 0.2243, loss: 0.6732 +2022-09-22 13:50:22,527 - mmdet - INFO - Epoch [13][4600/7330] lr: 1.000e-04, eta: 21:35:10, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0350, loss_cls: 0.1838, acc: 93.4370, loss_bbox: 0.2250, loss_mask: 0.2260, loss: 0.6961 +2022-09-22 13:50:44,804 - mmdet - INFO - Epoch [13][4650/7330] lr: 1.000e-04, eta: 21:34:46, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0333, loss_cls: 0.1765, acc: 93.5872, loss_bbox: 0.2133, loss_mask: 0.2227, loss: 0.6714 +2022-09-22 13:51:06,343 - mmdet - INFO - Epoch [13][4700/7330] lr: 1.000e-04, eta: 21:34:17, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0314, loss_cls: 0.1659, acc: 93.9966, loss_bbox: 0.2070, loss_mask: 0.2265, loss: 0.6512 +2022-09-22 13:51:27,975 - mmdet - INFO - Epoch [13][4750/7330] lr: 1.000e-04, eta: 21:33:49, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0326, loss_cls: 0.1726, acc: 93.7559, loss_bbox: 0.2138, loss_mask: 0.2274, loss: 0.6698 +2022-09-22 13:51:49,928 - mmdet - INFO - Epoch [13][4800/7330] lr: 1.000e-04, eta: 21:33:23, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0358, loss_cls: 0.1799, acc: 93.4736, loss_bbox: 0.2273, loss_mask: 0.2330, loss: 0.7027 +2022-09-22 13:52:11,992 - mmdet - INFO - Epoch [13][4850/7330] lr: 1.000e-04, eta: 21:32:57, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0325, loss_cls: 0.1766, acc: 93.6357, loss_bbox: 0.2187, loss_mask: 0.2231, loss: 0.6750 +2022-09-22 13:52:34,071 - mmdet - INFO - Epoch [13][4900/7330] lr: 1.000e-04, eta: 21:32:32, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0312, loss_cls: 0.1712, acc: 93.8965, loss_bbox: 0.2097, loss_mask: 0.2184, loss: 0.6548 +2022-09-22 13:52:56,145 - mmdet - INFO - Epoch [13][4950/7330] lr: 1.000e-04, eta: 21:32:06, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0326, loss_cls: 0.1653, acc: 93.9924, loss_bbox: 0.2069, loss_mask: 0.2229, loss: 0.6534 +2022-09-22 13:53:17,645 - mmdet - INFO - Epoch [13][5000/7330] lr: 1.000e-04, eta: 21:31:37, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0330, loss_cls: 0.1689, acc: 93.8560, loss_bbox: 0.2123, loss_mask: 0.2161, loss: 0.6551 +2022-09-22 13:53:39,565 - mmdet - INFO - Epoch [13][5050/7330] lr: 1.000e-04, eta: 21:31:11, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0315, loss_cls: 0.1715, acc: 93.8872, loss_bbox: 0.2104, loss_mask: 0.2180, loss: 0.6567 +2022-09-22 13:54:01,525 - mmdet - INFO - Epoch [13][5100/7330] lr: 1.000e-04, eta: 21:30:45, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0330, loss_cls: 0.1746, acc: 93.7012, loss_bbox: 0.2171, loss_mask: 0.2222, loss: 0.6704 +2022-09-22 13:54:23,403 - mmdet - INFO - Epoch [13][5150/7330] lr: 1.000e-04, eta: 21:30:18, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0324, loss_cls: 0.1749, acc: 93.6611, loss_bbox: 0.2165, loss_mask: 0.2249, loss: 0.6735 +2022-09-22 13:54:45,558 - mmdet - INFO - Epoch [13][5200/7330] lr: 1.000e-04, eta: 21:29:53, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0333, loss_cls: 0.1767, acc: 93.6685, loss_bbox: 0.2145, loss_mask: 0.2257, loss: 0.6737 +2022-09-22 13:55:07,996 - mmdet - INFO - Epoch [13][5250/7330] lr: 1.000e-04, eta: 21:29:29, time: 0.449, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0326, loss_cls: 0.1732, acc: 93.7139, loss_bbox: 0.2167, loss_mask: 0.2239, loss: 0.6710 +2022-09-22 13:55:29,783 - mmdet - INFO - Epoch [13][5300/7330] lr: 1.000e-04, eta: 21:29:02, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0325, loss_cls: 0.1688, acc: 93.9956, loss_bbox: 0.2121, loss_mask: 0.2216, loss: 0.6592 +2022-09-22 13:55:51,700 - mmdet - INFO - Epoch [13][5350/7330] lr: 1.000e-04, eta: 21:28:36, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0347, loss_cls: 0.1708, acc: 93.7605, loss_bbox: 0.2139, loss_mask: 0.2208, loss: 0.6672 +2022-09-22 13:56:14,149 - mmdet - INFO - Epoch [13][5400/7330] lr: 1.000e-04, eta: 21:28:12, time: 0.449, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0339, loss_cls: 0.1793, acc: 93.5103, loss_bbox: 0.2201, loss_mask: 0.2273, loss: 0.6876 +2022-09-22 13:56:35,854 - mmdet - INFO - Epoch [13][5450/7330] lr: 1.000e-04, eta: 21:27:45, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0339, loss_cls: 0.1713, acc: 93.7666, loss_bbox: 0.2237, loss_mask: 0.2228, loss: 0.6772 +2022-09-22 13:56:57,545 - mmdet - INFO - Epoch [13][5500/7330] lr: 1.000e-04, eta: 21:27:17, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0320, loss_cls: 0.1724, acc: 93.7927, loss_bbox: 0.2155, loss_mask: 0.2190, loss: 0.6604 +2022-09-22 13:57:19,344 - mmdet - INFO - Epoch [13][5550/7330] lr: 1.000e-04, eta: 21:26:51, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0352, loss_cls: 0.1767, acc: 93.6301, loss_bbox: 0.2201, loss_mask: 0.2238, loss: 0.6830 +2022-09-22 13:57:41,627 - mmdet - INFO - Epoch [13][5600/7330] lr: 1.000e-04, eta: 21:26:26, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0345, loss_cls: 0.1770, acc: 93.6941, loss_bbox: 0.2201, loss_mask: 0.2260, loss: 0.6831 +2022-09-22 13:58:03,646 - mmdet - INFO - Epoch [13][5650/7330] lr: 1.000e-04, eta: 21:26:00, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0349, loss_cls: 0.1728, acc: 93.7349, loss_bbox: 0.2121, loss_mask: 0.2223, loss: 0.6673 +2022-09-22 13:58:25,268 - mmdet - INFO - Epoch [13][5700/7330] lr: 1.000e-04, eta: 21:25:33, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0333, loss_cls: 0.1789, acc: 93.6506, loss_bbox: 0.2143, loss_mask: 0.2222, loss: 0.6755 +2022-09-22 13:58:47,705 - mmdet - INFO - Epoch [13][5750/7330] lr: 1.000e-04, eta: 21:25:09, time: 0.449, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0352, loss_cls: 0.1778, acc: 93.5903, loss_bbox: 0.2174, loss_mask: 0.2240, loss: 0.6796 +2022-09-22 13:59:09,866 - mmdet - INFO - Epoch [13][5800/7330] lr: 1.000e-04, eta: 21:24:44, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0318, loss_cls: 0.1715, acc: 93.7839, loss_bbox: 0.2116, loss_mask: 0.2291, loss: 0.6677 +2022-09-22 13:59:31,702 - mmdet - INFO - Epoch [13][5850/7330] lr: 1.000e-04, eta: 21:24:17, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0328, loss_cls: 0.1701, acc: 93.8276, loss_bbox: 0.2084, loss_mask: 0.2202, loss: 0.6558 +2022-09-22 13:59:53,913 - mmdet - INFO - Epoch [13][5900/7330] lr: 1.000e-04, eta: 21:23:52, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0333, loss_cls: 0.1706, acc: 93.8423, loss_bbox: 0.2131, loss_mask: 0.2224, loss: 0.6645 +2022-09-22 14:00:16,006 - mmdet - INFO - Epoch [13][5950/7330] lr: 1.000e-04, eta: 21:23:27, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0363, loss_cls: 0.1787, acc: 93.4717, loss_bbox: 0.2194, loss_mask: 0.2278, loss: 0.6906 +2022-09-22 14:00:37,522 - mmdet - INFO - Epoch [13][6000/7330] lr: 1.000e-04, eta: 21:22:59, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0340, loss_cls: 0.1718, acc: 93.8149, loss_bbox: 0.2139, loss_mask: 0.2191, loss: 0.6655 +2022-09-22 14:00:59,699 - mmdet - INFO - Epoch [13][6050/7330] lr: 1.000e-04, eta: 21:22:34, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0323, loss_cls: 0.1675, acc: 94.0413, loss_bbox: 0.2094, loss_mask: 0.2206, loss: 0.6535 +2022-09-22 14:01:21,275 - mmdet - INFO - Epoch [13][6100/7330] lr: 1.000e-04, eta: 21:22:06, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0351, loss_cls: 0.1750, acc: 93.6382, loss_bbox: 0.2186, loss_mask: 0.2270, loss: 0.6839 +2022-09-22 14:01:42,876 - mmdet - INFO - Epoch [13][6150/7330] lr: 1.000e-04, eta: 21:21:38, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0317, loss_cls: 0.1750, acc: 93.6934, loss_bbox: 0.2156, loss_mask: 0.2271, loss: 0.6739 +2022-09-22 14:02:04,777 - mmdet - INFO - Epoch [13][6200/7330] lr: 1.000e-04, eta: 21:21:12, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0325, loss_cls: 0.1758, acc: 93.6963, loss_bbox: 0.2198, loss_mask: 0.2219, loss: 0.6746 +2022-09-22 14:02:26,770 - mmdet - INFO - Epoch [13][6250/7330] lr: 1.000e-04, eta: 21:20:46, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0345, loss_cls: 0.1767, acc: 93.7092, loss_bbox: 0.2104, loss_mask: 0.2163, loss: 0.6638 +2022-09-22 14:02:48,482 - mmdet - INFO - Epoch [13][6300/7330] lr: 1.000e-04, eta: 21:20:19, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0338, loss_cls: 0.1813, acc: 93.5842, loss_bbox: 0.2193, loss_mask: 0.2303, loss: 0.6915 +2022-09-22 14:03:09,892 - mmdet - INFO - Epoch [13][6350/7330] lr: 1.000e-04, eta: 21:19:51, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0364, loss_cls: 0.1770, acc: 93.6301, loss_bbox: 0.2223, loss_mask: 0.2242, loss: 0.6881 +2022-09-22 14:03:31,253 - mmdet - INFO - Epoch [13][6400/7330] lr: 1.000e-04, eta: 21:19:22, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0328, loss_cls: 0.1437, acc: 94.9531, loss_bbox: 0.1719, loss_mask: 0.2207, loss: 0.5939 +2022-09-22 14:03:52,904 - mmdet - INFO - Epoch [13][6450/7330] lr: 1.000e-04, eta: 21:18:55, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0318, loss_cls: 0.1742, acc: 93.6440, loss_bbox: 0.2125, loss_mask: 0.2216, loss: 0.6626 +2022-09-22 14:04:14,845 - mmdet - INFO - Epoch [13][6500/7330] lr: 1.000e-04, eta: 21:18:29, time: 0.439, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0344, loss_cls: 0.1634, acc: 94.0557, loss_bbox: 0.2102, loss_mask: 0.2274, loss: 0.6611 +2022-09-22 14:04:36,625 - mmdet - INFO - Epoch [13][6550/7330] lr: 1.000e-04, eta: 21:18:02, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0327, loss_cls: 0.1576, acc: 94.3997, loss_bbox: 0.1951, loss_mask: 0.2113, loss: 0.6212 +2022-09-22 14:04:58,742 - mmdet - INFO - Epoch [13][6600/7330] lr: 1.000e-04, eta: 21:17:37, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0324, loss_cls: 0.1592, acc: 94.1426, loss_bbox: 0.2009, loss_mask: 0.2201, loss: 0.6355 +2022-09-22 14:05:21,222 - mmdet - INFO - Epoch [13][6650/7330] lr: 1.000e-04, eta: 21:17:14, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0321, loss_cls: 0.1516, acc: 94.4614, loss_bbox: 0.1978, loss_mask: 0.2229, loss: 0.6296 +2022-09-22 14:05:42,642 - mmdet - INFO - Epoch [13][6700/7330] lr: 1.000e-04, eta: 21:16:45, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0307, loss_cls: 0.1668, acc: 93.9343, loss_bbox: 0.2071, loss_mask: 0.2217, loss: 0.6485 +2022-09-22 14:06:04,579 - mmdet - INFO - Epoch [13][6750/7330] lr: 1.000e-04, eta: 21:16:19, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0345, loss_cls: 0.1849, acc: 93.4116, loss_bbox: 0.2251, loss_mask: 0.2278, loss: 0.6971 +2022-09-22 14:06:26,361 - mmdet - INFO - Epoch [13][6800/7330] lr: 1.000e-04, eta: 21:15:53, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0331, loss_cls: 0.1766, acc: 93.6746, loss_bbox: 0.2152, loss_mask: 0.2190, loss: 0.6674 +2022-09-22 14:06:47,982 - mmdet - INFO - Epoch [13][6850/7330] lr: 1.000e-04, eta: 21:15:25, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0350, loss_cls: 0.1832, acc: 93.4719, loss_bbox: 0.2180, loss_mask: 0.2302, loss: 0.6940 +2022-09-22 14:07:09,630 - mmdet - INFO - Epoch [13][6900/7330] lr: 1.000e-04, eta: 21:14:58, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0305, loss_cls: 0.1722, acc: 93.8101, loss_bbox: 0.2108, loss_mask: 0.2235, loss: 0.6623 +2022-09-22 14:07:31,576 - mmdet - INFO - Epoch [13][6950/7330] lr: 1.000e-04, eta: 21:14:32, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0341, loss_cls: 0.1843, acc: 93.4229, loss_bbox: 0.2233, loss_mask: 0.2232, loss: 0.6919 +2022-09-22 14:07:53,649 - mmdet - INFO - Epoch [13][7000/7330] lr: 1.000e-04, eta: 21:14:07, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0338, loss_cls: 0.1702, acc: 93.8872, loss_bbox: 0.2114, loss_mask: 0.2201, loss: 0.6613 +2022-09-22 14:08:14,826 - mmdet - INFO - Epoch [13][7050/7330] lr: 1.000e-04, eta: 21:13:38, time: 0.423, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0317, loss_cls: 0.1718, acc: 93.9133, loss_bbox: 0.2129, loss_mask: 0.2259, loss: 0.6657 +2022-09-22 14:08:36,938 - mmdet - INFO - Epoch [13][7100/7330] lr: 1.000e-04, eta: 21:13:13, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0348, loss_cls: 0.1779, acc: 93.6672, loss_bbox: 0.2131, loss_mask: 0.2218, loss: 0.6719 +2022-09-22 14:08:58,858 - mmdet - INFO - Epoch [13][7150/7330] lr: 1.000e-04, eta: 21:12:47, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0315, loss_cls: 0.1732, acc: 93.7715, loss_bbox: 0.2105, loss_mask: 0.2170, loss: 0.6559 +2022-09-22 14:09:20,728 - mmdet - INFO - Epoch [13][7200/7330] lr: 1.000e-04, eta: 21:12:21, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0335, loss_cls: 0.1812, acc: 93.5806, loss_bbox: 0.2184, loss_mask: 0.2248, loss: 0.6834 +2022-09-22 14:09:43,260 - mmdet - INFO - Epoch [13][7250/7330] lr: 1.000e-04, eta: 21:11:58, time: 0.451, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0365, loss_cls: 0.1847, acc: 93.3401, loss_bbox: 0.2269, loss_mask: 0.2253, loss: 0.7005 +2022-09-22 14:10:05,105 - mmdet - INFO - Epoch [13][7300/7330] lr: 1.000e-04, eta: 21:11:31, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0309, loss_cls: 0.1625, acc: 94.2600, loss_bbox: 0.2015, loss_mask: 0.2191, loss: 0.6385 +2022-09-22 14:10:26,881 - mmdet - INFO - Saving checkpoint at 13 epochs +2022-09-22 14:12:35,112 - mmdet - INFO - Evaluating bbox... +2022-09-22 14:13:03,280 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.477 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.706 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.524 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.333 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.516 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.611 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.609 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.609 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.609 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.453 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.653 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.744 + +2022-09-22 14:13:03,280 - mmdet - INFO - Evaluating segm... +2022-09-22 14:13:36,537 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.429 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.676 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.462 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.253 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.463 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.614 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.554 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.554 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.554 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.385 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.709 + +2022-09-22 14:13:37,200 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 14:13:37,202 - mmdet - INFO - Epoch(val) [13][625] bbox_mAP: 0.4770, bbox_mAP_50: 0.7060, bbox_mAP_75: 0.5240, bbox_mAP_s: 0.3330, bbox_mAP_m: 0.5160, bbox_mAP_l: 0.6110, bbox_mAP_copypaste: 0.477 0.706 0.524 0.333 0.516 0.611, segm_mAP: 0.4290, segm_mAP_50: 0.6760, segm_mAP_75: 0.4620, segm_mAP_s: 0.2530, segm_mAP_m: 0.4630, segm_mAP_l: 0.6140, segm_mAP_copypaste: 0.429 0.676 0.462 0.253 0.463 0.614 +2022-09-22 14:16:20,719 - mmdet - INFO - Epoch [14][50/7330] lr: 1.000e-04, eta: 21:20:40, time: 3.270, data_time: 2.823, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0336, loss_cls: 0.1691, acc: 93.7913, loss_bbox: 0.2142, loss_mask: 0.2216, loss: 0.6639 +2022-09-22 14:16:43,073 - mmdet - INFO - Epoch [14][100/7330] lr: 1.000e-04, eta: 21:20:15, time: 0.447, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0318, loss_cls: 0.1590, acc: 94.2361, loss_bbox: 0.1991, loss_mask: 0.2129, loss: 0.6280 +2022-09-22 14:17:05,324 - mmdet - INFO - Epoch [14][150/7330] lr: 1.000e-04, eta: 21:19:50, time: 0.445, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0308, loss_cls: 0.1702, acc: 93.9336, loss_bbox: 0.2085, loss_mask: 0.2170, loss: 0.6477 +2022-09-22 14:17:28,023 - mmdet - INFO - Epoch [14][200/7330] lr: 1.000e-04, eta: 21:19:27, time: 0.454, data_time: 0.024, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0353, loss_cls: 0.1784, acc: 93.5137, loss_bbox: 0.2227, loss_mask: 0.2265, loss: 0.6899 +2022-09-22 14:17:50,565 - mmdet - INFO - Epoch [14][250/7330] lr: 1.000e-04, eta: 21:19:03, time: 0.451, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0346, loss_cls: 0.1764, acc: 93.7556, loss_bbox: 0.2178, loss_mask: 0.2247, loss: 0.6790 +2022-09-22 14:18:12,987 - mmdet - INFO - Epoch [14][300/7330] lr: 1.000e-04, eta: 21:18:38, time: 0.448, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0309, loss_cls: 0.1671, acc: 93.9880, loss_bbox: 0.2008, loss_mask: 0.2143, loss: 0.6347 +2022-09-22 14:18:35,256 - mmdet - INFO - Epoch [14][350/7330] lr: 1.000e-04, eta: 21:18:13, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0339, loss_cls: 0.1733, acc: 93.7888, loss_bbox: 0.2142, loss_mask: 0.2263, loss: 0.6712 +2022-09-22 14:18:57,436 - mmdet - INFO - Epoch [14][400/7330] lr: 1.000e-04, eta: 21:17:47, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0329, loss_cls: 0.1728, acc: 93.6584, loss_bbox: 0.2213, loss_mask: 0.2195, loss: 0.6720 +2022-09-22 14:19:19,125 - mmdet - INFO - Epoch [14][450/7330] lr: 1.000e-04, eta: 21:17:20, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0324, loss_cls: 0.1704, acc: 93.8511, loss_bbox: 0.2094, loss_mask: 0.2175, loss: 0.6572 +2022-09-22 14:19:40,837 - mmdet - INFO - Epoch [14][500/7330] lr: 1.000e-04, eta: 21:16:52, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0316, loss_cls: 0.1670, acc: 94.0142, loss_bbox: 0.2008, loss_mask: 0.2196, loss: 0.6428 +2022-09-22 14:20:02,762 - mmdet - INFO - Epoch [14][550/7330] lr: 1.000e-04, eta: 21:16:25, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0375, loss_cls: 0.1804, acc: 93.4946, loss_bbox: 0.2231, loss_mask: 0.2250, loss: 0.6922 +2022-09-22 14:20:25,000 - mmdet - INFO - Epoch [14][600/7330] lr: 1.000e-04, eta: 21:16:00, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0323, loss_cls: 0.1691, acc: 93.8687, loss_bbox: 0.2143, loss_mask: 0.2208, loss: 0.6601 +2022-09-22 14:20:47,095 - mmdet - INFO - Epoch [14][650/7330] lr: 1.000e-04, eta: 21:15:34, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0319, loss_cls: 0.1689, acc: 93.9280, loss_bbox: 0.2085, loss_mask: 0.2151, loss: 0.6471 +2022-09-22 14:21:08,813 - mmdet - INFO - Epoch [14][700/7330] lr: 1.000e-04, eta: 21:15:06, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0316, loss_cls: 0.1596, acc: 94.1907, loss_bbox: 0.2042, loss_mask: 0.2151, loss: 0.6344 +2022-09-22 14:21:31,000 - mmdet - INFO - Epoch [14][750/7330] lr: 1.000e-04, eta: 21:14:41, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0347, loss_cls: 0.1754, acc: 93.6731, loss_bbox: 0.2145, loss_mask: 0.2228, loss: 0.6749 +2022-09-22 14:21:52,816 - mmdet - INFO - Epoch [14][800/7330] lr: 1.000e-04, eta: 21:14:14, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0318, loss_cls: 0.1673, acc: 93.9199, loss_bbox: 0.2146, loss_mask: 0.2202, loss: 0.6573 +2022-09-22 14:22:15,105 - mmdet - INFO - Epoch [14][850/7330] lr: 1.000e-04, eta: 21:13:49, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0324, loss_cls: 0.1737, acc: 93.6531, loss_bbox: 0.2138, loss_mask: 0.2195, loss: 0.6617 +2022-09-22 14:22:36,631 - mmdet - INFO - Epoch [14][900/7330] lr: 1.000e-04, eta: 21:13:20, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0309, loss_cls: 0.1749, acc: 93.6907, loss_bbox: 0.2128, loss_mask: 0.2199, loss: 0.6621 +2022-09-22 14:22:58,179 - mmdet - INFO - Epoch [14][950/7330] lr: 1.000e-04, eta: 21:12:52, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0342, loss_cls: 0.1709, acc: 93.8933, loss_bbox: 0.2107, loss_mask: 0.2203, loss: 0.6600 +2022-09-22 14:23:19,904 - mmdet - INFO - Epoch [14][1000/7330] lr: 1.000e-04, eta: 21:12:25, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0352, loss_cls: 0.1708, acc: 93.8372, loss_bbox: 0.2199, loss_mask: 0.2267, loss: 0.6798 +2022-09-22 14:23:41,642 - mmdet - INFO - Epoch [14][1050/7330] lr: 1.000e-04, eta: 21:11:57, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0338, loss_cls: 0.1708, acc: 93.7212, loss_bbox: 0.2163, loss_mask: 0.2274, loss: 0.6740 +2022-09-22 14:24:02,937 - mmdet - INFO - Epoch [14][1100/7330] lr: 1.000e-04, eta: 21:11:28, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0314, loss_cls: 0.1717, acc: 93.7285, loss_bbox: 0.2140, loss_mask: 0.2236, loss: 0.6628 +2022-09-22 14:24:24,784 - mmdet - INFO - Epoch [14][1150/7330] lr: 1.000e-04, eta: 21:11:01, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0309, loss_cls: 0.1628, acc: 94.2070, loss_bbox: 0.2023, loss_mask: 0.2142, loss: 0.6335 +2022-09-22 14:24:46,518 - mmdet - INFO - Epoch [14][1200/7330] lr: 1.000e-04, eta: 21:10:34, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0354, loss_cls: 0.1730, acc: 93.7244, loss_bbox: 0.2186, loss_mask: 0.2217, loss: 0.6761 +2022-09-22 14:25:08,880 - mmdet - INFO - Epoch [14][1250/7330] lr: 1.000e-04, eta: 21:10:09, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0340, loss_cls: 0.1588, acc: 94.1978, loss_bbox: 0.2026, loss_mask: 0.2154, loss: 0.6349 +2022-09-22 14:25:30,504 - mmdet - INFO - Epoch [14][1300/7330] lr: 1.000e-04, eta: 21:09:41, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0320, loss_cls: 0.1600, acc: 94.2224, loss_bbox: 0.2076, loss_mask: 0.2204, loss: 0.6451 +2022-09-22 14:25:52,425 - mmdet - INFO - Epoch [14][1350/7330] lr: 1.000e-04, eta: 21:09:15, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0334, loss_cls: 0.1769, acc: 93.6184, loss_bbox: 0.2165, loss_mask: 0.2227, loss: 0.6753 +2022-09-22 14:26:14,350 - mmdet - INFO - Epoch [14][1400/7330] lr: 1.000e-04, eta: 21:08:48, time: 0.439, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0322, loss_cls: 0.1666, acc: 94.0029, loss_bbox: 0.2012, loss_mask: 0.2177, loss: 0.6416 +2022-09-22 14:26:36,146 - mmdet - INFO - Epoch [14][1450/7330] lr: 1.000e-04, eta: 21:08:21, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0316, loss_cls: 0.1656, acc: 94.0454, loss_bbox: 0.2023, loss_mask: 0.2157, loss: 0.6385 +2022-09-22 14:26:58,137 - mmdet - INFO - Epoch [14][1500/7330] lr: 1.000e-04, eta: 21:07:55, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1670, acc: 93.9131, loss_bbox: 0.2175, loss_mask: 0.2224, loss: 0.6625 +2022-09-22 14:27:20,248 - mmdet - INFO - Epoch [14][1550/7330] lr: 1.000e-04, eta: 21:07:29, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0335, loss_cls: 0.1722, acc: 93.6814, loss_bbox: 0.2150, loss_mask: 0.2205, loss: 0.6644 +2022-09-22 14:27:42,242 - mmdet - INFO - Epoch [14][1600/7330] lr: 1.000e-04, eta: 21:07:03, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0332, loss_cls: 0.1743, acc: 93.6868, loss_bbox: 0.2153, loss_mask: 0.2203, loss: 0.6674 +2022-09-22 14:28:04,127 - mmdet - INFO - Epoch [14][1650/7330] lr: 1.000e-04, eta: 21:06:37, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0325, loss_cls: 0.1693, acc: 93.8120, loss_bbox: 0.2130, loss_mask: 0.2204, loss: 0.6589 +2022-09-22 14:28:25,689 - mmdet - INFO - Epoch [14][1700/7330] lr: 1.000e-04, eta: 21:06:09, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0314, loss_cls: 0.1734, acc: 93.7742, loss_bbox: 0.2127, loss_mask: 0.2160, loss: 0.6575 +2022-09-22 14:28:47,403 - mmdet - INFO - Epoch [14][1750/7330] lr: 1.000e-04, eta: 21:05:42, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0339, loss_cls: 0.1678, acc: 93.8633, loss_bbox: 0.2154, loss_mask: 0.2199, loss: 0.6622 +2022-09-22 14:29:09,286 - mmdet - INFO - Epoch [14][1800/7330] lr: 1.000e-04, eta: 21:05:15, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0317, loss_cls: 0.1676, acc: 93.9414, loss_bbox: 0.2085, loss_mask: 0.2135, loss: 0.6449 +2022-09-22 14:29:31,749 - mmdet - INFO - Epoch [14][1850/7330] lr: 1.000e-04, eta: 21:04:51, time: 0.448, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0323, loss_cls: 0.1700, acc: 94.0264, loss_bbox: 0.2074, loss_mask: 0.2191, loss: 0.6539 +2022-09-22 14:29:53,442 - mmdet - INFO - Epoch [14][1900/7330] lr: 1.000e-04, eta: 21:04:24, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0342, loss_cls: 0.1757, acc: 93.5793, loss_bbox: 0.2190, loss_mask: 0.2178, loss: 0.6712 +2022-09-22 14:30:15,415 - mmdet - INFO - Epoch [14][1950/7330] lr: 1.000e-04, eta: 21:03:57, time: 0.439, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0310, loss_cls: 0.1663, acc: 93.9741, loss_bbox: 0.2089, loss_mask: 0.2185, loss: 0.6473 +2022-09-22 14:30:36,921 - mmdet - INFO - Epoch [14][2000/7330] lr: 1.000e-04, eta: 21:03:29, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0329, loss_cls: 0.1652, acc: 93.9294, loss_bbox: 0.2091, loss_mask: 0.2188, loss: 0.6518 +2022-09-22 14:30:58,322 - mmdet - INFO - Epoch [14][2050/7330] lr: 1.000e-04, eta: 21:03:01, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0326, loss_cls: 0.1717, acc: 93.8052, loss_bbox: 0.2125, loss_mask: 0.2151, loss: 0.6550 +2022-09-22 14:31:19,829 - mmdet - INFO - Epoch [14][2100/7330] lr: 1.000e-04, eta: 21:02:33, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0302, loss_cls: 0.1620, acc: 94.0959, loss_bbox: 0.2039, loss_mask: 0.2169, loss: 0.6355 +2022-09-22 14:31:42,068 - mmdet - INFO - Epoch [14][2150/7330] lr: 1.000e-04, eta: 21:02:08, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0316, loss_cls: 0.1711, acc: 93.8271, loss_bbox: 0.2050, loss_mask: 0.2116, loss: 0.6449 +2022-09-22 14:32:03,996 - mmdet - INFO - Epoch [14][2200/7330] lr: 1.000e-04, eta: 21:01:41, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0323, loss_cls: 0.1647, acc: 93.9680, loss_bbox: 0.2059, loss_mask: 0.2226, loss: 0.6509 +2022-09-22 14:32:25,882 - mmdet - INFO - Epoch [14][2250/7330] lr: 1.000e-04, eta: 21:01:15, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0335, loss_cls: 0.1778, acc: 93.6301, loss_bbox: 0.2167, loss_mask: 0.2224, loss: 0.6760 +2022-09-22 14:32:47,441 - mmdet - INFO - Epoch [14][2300/7330] lr: 1.000e-04, eta: 21:00:47, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0349, loss_cls: 0.1835, acc: 93.3528, loss_bbox: 0.2247, loss_mask: 0.2242, loss: 0.6918 +2022-09-22 14:33:09,196 - mmdet - INFO - Epoch [14][2350/7330] lr: 1.000e-04, eta: 21:00:20, time: 0.435, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0353, loss_cls: 0.1747, acc: 93.7427, loss_bbox: 0.2150, loss_mask: 0.2234, loss: 0.6752 +2022-09-22 14:33:30,897 - mmdet - INFO - Epoch [14][2400/7330] lr: 1.000e-04, eta: 20:59:53, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0310, loss_cls: 0.1691, acc: 93.8203, loss_bbox: 0.2111, loss_mask: 0.2211, loss: 0.6543 +2022-09-22 14:33:52,630 - mmdet - INFO - Epoch [14][2450/7330] lr: 1.000e-04, eta: 20:59:26, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0321, loss_cls: 0.1732, acc: 93.7300, loss_bbox: 0.2105, loss_mask: 0.2178, loss: 0.6586 +2022-09-22 14:34:14,248 - mmdet - INFO - Epoch [14][2500/7330] lr: 1.000e-04, eta: 20:58:58, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0316, loss_cls: 0.1689, acc: 93.8352, loss_bbox: 0.2138, loss_mask: 0.2178, loss: 0.6543 +2022-09-22 14:34:36,448 - mmdet - INFO - Epoch [14][2550/7330] lr: 1.000e-04, eta: 20:58:33, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0333, loss_cls: 0.1765, acc: 93.6499, loss_bbox: 0.2159, loss_mask: 0.2173, loss: 0.6673 +2022-09-22 14:34:58,306 - mmdet - INFO - Epoch [14][2600/7330] lr: 1.000e-04, eta: 20:58:07, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0341, loss_cls: 0.1698, acc: 93.7983, loss_bbox: 0.2087, loss_mask: 0.2236, loss: 0.6617 +2022-09-22 14:35:19,675 - mmdet - INFO - Epoch [14][2650/7330] lr: 1.000e-04, eta: 20:57:38, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0322, loss_cls: 0.1711, acc: 93.6882, loss_bbox: 0.2201, loss_mask: 0.2248, loss: 0.6713 +2022-09-22 14:35:42,022 - mmdet - INFO - Epoch [14][2700/7330] lr: 1.000e-04, eta: 20:57:14, time: 0.447, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0330, loss_cls: 0.1700, acc: 93.6953, loss_bbox: 0.2145, loss_mask: 0.2276, loss: 0.6701 +2022-09-22 14:36:04,026 - mmdet - INFO - Epoch [14][2750/7330] lr: 1.000e-04, eta: 20:56:48, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0324, loss_cls: 0.1616, acc: 94.0200, loss_bbox: 0.2049, loss_mask: 0.2226, loss: 0.6447 +2022-09-22 14:36:25,912 - mmdet - INFO - Epoch [14][2800/7330] lr: 1.000e-04, eta: 20:56:22, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0352, loss_cls: 0.1740, acc: 93.7402, loss_bbox: 0.2202, loss_mask: 0.2223, loss: 0.6783 +2022-09-22 14:36:47,803 - mmdet - INFO - Epoch [14][2850/7330] lr: 1.000e-04, eta: 20:55:56, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0316, loss_cls: 0.1719, acc: 93.7439, loss_bbox: 0.2165, loss_mask: 0.2206, loss: 0.6653 +2022-09-22 14:37:09,609 - mmdet - INFO - Epoch [14][2900/7330] lr: 1.000e-04, eta: 20:55:29, time: 0.436, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0331, loss_cls: 0.1782, acc: 93.5647, loss_bbox: 0.2251, loss_mask: 0.2266, loss: 0.6884 +2022-09-22 14:37:31,400 - mmdet - INFO - Epoch [14][2950/7330] lr: 1.000e-04, eta: 20:55:02, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0323, loss_cls: 0.1713, acc: 93.7622, loss_bbox: 0.2123, loss_mask: 0.2191, loss: 0.6583 +2022-09-22 14:37:53,147 - mmdet - INFO - Epoch [14][3000/7330] lr: 1.000e-04, eta: 20:54:35, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0345, loss_cls: 0.1804, acc: 93.4685, loss_bbox: 0.2177, loss_mask: 0.2246, loss: 0.6813 +2022-09-22 14:38:15,733 - mmdet - INFO - Epoch [14][3050/7330] lr: 1.000e-04, eta: 20:54:12, time: 0.452, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0336, loss_cls: 0.1779, acc: 93.5859, loss_bbox: 0.2206, loss_mask: 0.2234, loss: 0.6789 +2022-09-22 14:38:37,475 - mmdet - INFO - Epoch [14][3100/7330] lr: 1.000e-04, eta: 20:53:45, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0321, loss_cls: 0.1664, acc: 94.0613, loss_bbox: 0.2056, loss_mask: 0.2221, loss: 0.6506 +2022-09-22 14:38:59,437 - mmdet - INFO - Epoch [14][3150/7330] lr: 1.000e-04, eta: 20:53:19, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0336, loss_cls: 0.1765, acc: 93.7124, loss_bbox: 0.2131, loss_mask: 0.2278, loss: 0.6766 +2022-09-22 14:39:21,221 - mmdet - INFO - Epoch [14][3200/7330] lr: 1.000e-04, eta: 20:52:53, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0324, loss_cls: 0.1661, acc: 94.0095, loss_bbox: 0.2091, loss_mask: 0.2150, loss: 0.6453 +2022-09-22 14:39:42,799 - mmdet - INFO - Epoch [14][3250/7330] lr: 1.000e-04, eta: 20:52:25, time: 0.431, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0336, loss_cls: 0.1752, acc: 93.5869, loss_bbox: 0.2243, loss_mask: 0.2263, loss: 0.6844 +2022-09-22 14:40:04,402 - mmdet - INFO - Epoch [14][3300/7330] lr: 1.000e-04, eta: 20:51:58, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0316, loss_cls: 0.1702, acc: 93.9395, loss_bbox: 0.2111, loss_mask: 0.2189, loss: 0.6549 +2022-09-22 14:40:26,223 - mmdet - INFO - Epoch [14][3350/7330] lr: 1.000e-04, eta: 20:51:31, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0329, loss_cls: 0.1648, acc: 94.0061, loss_bbox: 0.2088, loss_mask: 0.2211, loss: 0.6536 +2022-09-22 14:40:47,767 - mmdet - INFO - Epoch [14][3400/7330] lr: 1.000e-04, eta: 20:51:04, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0315, loss_cls: 0.1664, acc: 93.9507, loss_bbox: 0.2107, loss_mask: 0.2154, loss: 0.6476 +2022-09-22 14:41:10,140 - mmdet - INFO - Epoch [14][3450/7330] lr: 1.000e-04, eta: 20:50:40, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0344, loss_cls: 0.1701, acc: 93.7366, loss_bbox: 0.2169, loss_mask: 0.2251, loss: 0.6718 +2022-09-22 14:41:32,408 - mmdet - INFO - Epoch [14][3500/7330] lr: 1.000e-04, eta: 20:50:15, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0338, loss_cls: 0.1748, acc: 93.8254, loss_bbox: 0.2161, loss_mask: 0.2212, loss: 0.6703 +2022-09-22 14:41:54,214 - mmdet - INFO - Epoch [14][3550/7330] lr: 1.000e-04, eta: 20:49:49, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0339, loss_cls: 0.1691, acc: 93.9307, loss_bbox: 0.2102, loss_mask: 0.2209, loss: 0.6621 +2022-09-22 14:42:15,390 - mmdet - INFO - Epoch [14][3600/7330] lr: 1.000e-04, eta: 20:49:20, time: 0.423, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0299, loss_cls: 0.1659, acc: 94.0664, loss_bbox: 0.2028, loss_mask: 0.2223, loss: 0.6433 +2022-09-22 14:42:36,929 - mmdet - INFO - Epoch [14][3650/7330] lr: 1.000e-04, eta: 20:48:52, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0314, loss_cls: 0.1645, acc: 93.9614, loss_bbox: 0.2085, loss_mask: 0.2189, loss: 0.6459 +2022-09-22 14:42:58,974 - mmdet - INFO - Epoch [14][3700/7330] lr: 1.000e-04, eta: 20:48:27, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0314, loss_cls: 0.1677, acc: 93.9153, loss_bbox: 0.2056, loss_mask: 0.2197, loss: 0.6463 +2022-09-22 14:43:21,145 - mmdet - INFO - Epoch [14][3750/7330] lr: 1.000e-04, eta: 20:48:02, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0347, loss_cls: 0.1725, acc: 93.7173, loss_bbox: 0.2147, loss_mask: 0.2178, loss: 0.6641 +2022-09-22 14:43:43,303 - mmdet - INFO - Epoch [14][3800/7330] lr: 1.000e-04, eta: 20:47:37, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0350, loss_cls: 0.1822, acc: 93.4275, loss_bbox: 0.2235, loss_mask: 0.2268, loss: 0.6939 +2022-09-22 14:44:05,253 - mmdet - INFO - Epoch [14][3850/7330] lr: 1.000e-04, eta: 20:47:11, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0309, loss_cls: 0.1689, acc: 93.9873, loss_bbox: 0.2120, loss_mask: 0.2204, loss: 0.6534 +2022-09-22 14:44:27,041 - mmdet - INFO - Epoch [14][3900/7330] lr: 1.000e-04, eta: 20:46:44, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0335, loss_cls: 0.1769, acc: 93.6938, loss_bbox: 0.2171, loss_mask: 0.2239, loss: 0.6767 +2022-09-22 14:44:48,910 - mmdet - INFO - Epoch [14][3950/7330] lr: 1.000e-04, eta: 20:46:18, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0317, loss_cls: 0.1715, acc: 93.8054, loss_bbox: 0.2151, loss_mask: 0.2163, loss: 0.6558 +2022-09-22 14:45:10,940 - mmdet - INFO - Epoch [14][4000/7330] lr: 1.000e-04, eta: 20:45:53, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0323, loss_cls: 0.1755, acc: 93.6846, loss_bbox: 0.2145, loss_mask: 0.2157, loss: 0.6635 +2022-09-22 14:45:32,875 - mmdet - INFO - Epoch [14][4050/7330] lr: 1.000e-04, eta: 20:45:27, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0333, loss_cls: 0.1727, acc: 93.8564, loss_bbox: 0.2096, loss_mask: 0.2244, loss: 0.6646 +2022-09-22 14:45:54,282 - mmdet - INFO - Epoch [14][4100/7330] lr: 1.000e-04, eta: 20:44:59, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0330, loss_cls: 0.1747, acc: 93.7520, loss_bbox: 0.2091, loss_mask: 0.2207, loss: 0.6627 +2022-09-22 14:46:15,958 - mmdet - INFO - Epoch [14][4150/7330] lr: 1.000e-04, eta: 20:44:32, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0329, loss_cls: 0.1768, acc: 93.6582, loss_bbox: 0.2162, loss_mask: 0.2233, loss: 0.6746 +2022-09-22 14:46:37,684 - mmdet - INFO - Epoch [14][4200/7330] lr: 1.000e-04, eta: 20:44:06, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0310, loss_cls: 0.1614, acc: 94.1560, loss_bbox: 0.2026, loss_mask: 0.2133, loss: 0.6319 +2022-09-22 14:46:59,624 - mmdet - INFO - Epoch [14][4250/7330] lr: 1.000e-04, eta: 20:43:40, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0302, loss_cls: 0.1723, acc: 93.8250, loss_bbox: 0.2075, loss_mask: 0.2170, loss: 0.6504 +2022-09-22 14:47:21,158 - mmdet - INFO - Epoch [14][4300/7330] lr: 1.000e-04, eta: 20:43:12, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0311, loss_cls: 0.1681, acc: 93.8557, loss_bbox: 0.2148, loss_mask: 0.2222, loss: 0.6580 +2022-09-22 14:47:42,721 - mmdet - INFO - Epoch [14][4350/7330] lr: 1.000e-04, eta: 20:42:45, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0321, loss_cls: 0.1728, acc: 93.7866, loss_bbox: 0.2091, loss_mask: 0.2227, loss: 0.6613 +2022-09-22 14:48:04,340 - mmdet - INFO - Epoch [14][4400/7330] lr: 1.000e-04, eta: 20:42:18, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0305, loss_cls: 0.1672, acc: 94.0547, loss_bbox: 0.2055, loss_mask: 0.2178, loss: 0.6442 +2022-09-22 14:48:25,633 - mmdet - INFO - Epoch [14][4450/7330] lr: 1.000e-04, eta: 20:41:50, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0316, loss_cls: 0.1732, acc: 93.8020, loss_bbox: 0.2120, loss_mask: 0.2194, loss: 0.6601 +2022-09-22 14:48:47,002 - mmdet - INFO - Epoch [14][4500/7330] lr: 1.000e-04, eta: 20:41:22, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0318, loss_cls: 0.1723, acc: 93.7634, loss_bbox: 0.2123, loss_mask: 0.2226, loss: 0.6634 +2022-09-22 14:49:08,362 - mmdet - INFO - Epoch [14][4550/7330] lr: 1.000e-04, eta: 20:40:54, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0325, loss_cls: 0.1733, acc: 93.7239, loss_bbox: 0.2103, loss_mask: 0.2210, loss: 0.6600 +2022-09-22 14:49:29,999 - mmdet - INFO - Epoch [14][4600/7330] lr: 1.000e-04, eta: 20:40:27, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0345, loss_cls: 0.1767, acc: 93.7395, loss_bbox: 0.2107, loss_mask: 0.2191, loss: 0.6681 +2022-09-22 14:49:51,817 - mmdet - INFO - Epoch [14][4650/7330] lr: 1.000e-04, eta: 20:40:01, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0305, loss_cls: 0.1652, acc: 94.1611, loss_bbox: 0.2063, loss_mask: 0.2220, loss: 0.6466 +2022-09-22 14:50:13,610 - mmdet - INFO - Epoch [14][4700/7330] lr: 1.000e-04, eta: 20:39:34, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0348, loss_cls: 0.1730, acc: 93.7053, loss_bbox: 0.2164, loss_mask: 0.2235, loss: 0.6734 +2022-09-22 14:50:35,160 - mmdet - INFO - Epoch [14][4750/7330] lr: 1.000e-04, eta: 20:39:07, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0323, loss_cls: 0.1658, acc: 94.0510, loss_bbox: 0.2093, loss_mask: 0.2206, loss: 0.6514 +2022-09-22 14:50:56,582 - mmdet - INFO - Epoch [14][4800/7330] lr: 1.000e-04, eta: 20:38:40, time: 0.428, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0348, loss_cls: 0.1716, acc: 93.7981, loss_bbox: 0.2168, loss_mask: 0.2250, loss: 0.6722 +2022-09-22 14:51:17,977 - mmdet - INFO - Epoch [14][4850/7330] lr: 1.000e-04, eta: 20:38:12, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0313, loss_cls: 0.1642, acc: 94.1887, loss_bbox: 0.2029, loss_mask: 0.2191, loss: 0.6404 +2022-09-22 14:51:39,954 - mmdet - INFO - Epoch [14][4900/7330] lr: 1.000e-04, eta: 20:37:46, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0298, loss_cls: 0.1511, acc: 94.5017, loss_bbox: 0.1914, loss_mask: 0.2167, loss: 0.6104 +2022-09-22 14:52:01,666 - mmdet - INFO - Epoch [14][4950/7330] lr: 1.000e-04, eta: 20:37:20, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0330, loss_cls: 0.1789, acc: 93.4990, loss_bbox: 0.2245, loss_mask: 0.2288, loss: 0.6907 +2022-09-22 14:52:22,866 - mmdet - INFO - Epoch [14][5000/7330] lr: 1.000e-04, eta: 20:36:51, time: 0.424, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0311, loss_cls: 0.1704, acc: 93.8000, loss_bbox: 0.2129, loss_mask: 0.2221, loss: 0.6606 +2022-09-22 14:52:44,519 - mmdet - INFO - Epoch [14][5050/7330] lr: 1.000e-04, eta: 20:36:24, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0333, loss_cls: 0.1718, acc: 93.8457, loss_bbox: 0.2130, loss_mask: 0.2265, loss: 0.6703 +2022-09-22 14:53:06,098 - mmdet - INFO - Epoch [14][5100/7330] lr: 1.000e-04, eta: 20:35:57, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0323, loss_cls: 0.1648, acc: 93.9739, loss_bbox: 0.2067, loss_mask: 0.2184, loss: 0.6442 +2022-09-22 14:53:27,552 - mmdet - INFO - Epoch [14][5150/7330] lr: 1.000e-04, eta: 20:35:30, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0334, loss_cls: 0.1726, acc: 93.7725, loss_bbox: 0.2157, loss_mask: 0.2214, loss: 0.6683 +2022-09-22 14:53:49,419 - mmdet - INFO - Epoch [14][5200/7330] lr: 1.000e-04, eta: 20:35:04, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0311, loss_cls: 0.1636, acc: 94.0713, loss_bbox: 0.2041, loss_mask: 0.2099, loss: 0.6307 +2022-09-22 14:54:11,279 - mmdet - INFO - Epoch [14][5250/7330] lr: 1.000e-04, eta: 20:34:38, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0326, loss_cls: 0.1702, acc: 93.8845, loss_bbox: 0.2096, loss_mask: 0.2228, loss: 0.6586 +2022-09-22 14:54:32,858 - mmdet - INFO - Epoch [14][5300/7330] lr: 1.000e-04, eta: 20:34:11, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0331, loss_cls: 0.1720, acc: 93.8281, loss_bbox: 0.2116, loss_mask: 0.2190, loss: 0.6623 +2022-09-22 14:54:54,873 - mmdet - INFO - Epoch [14][5350/7330] lr: 1.000e-04, eta: 20:33:46, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0336, loss_cls: 0.1726, acc: 93.8582, loss_bbox: 0.2142, loss_mask: 0.2184, loss: 0.6654 +2022-09-22 14:55:16,970 - mmdet - INFO - Epoch [14][5400/7330] lr: 1.000e-04, eta: 20:33:21, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0327, loss_cls: 0.1711, acc: 93.7227, loss_bbox: 0.2137, loss_mask: 0.2196, loss: 0.6603 +2022-09-22 14:55:38,860 - mmdet - INFO - Epoch [14][5450/7330] lr: 1.000e-04, eta: 20:32:55, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0332, loss_cls: 0.1784, acc: 93.6477, loss_bbox: 0.2165, loss_mask: 0.2237, loss: 0.6757 +2022-09-22 14:56:00,886 - mmdet - INFO - Epoch [14][5500/7330] lr: 1.000e-04, eta: 20:32:30, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0310, loss_cls: 0.1712, acc: 93.8325, loss_bbox: 0.2109, loss_mask: 0.2202, loss: 0.6580 +2022-09-22 14:56:22,297 - mmdet - INFO - Epoch [14][5550/7330] lr: 1.000e-04, eta: 20:32:03, time: 0.429, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0338, loss_cls: 0.1807, acc: 93.5310, loss_bbox: 0.2251, loss_mask: 0.2208, loss: 0.6867 +2022-09-22 14:56:43,912 - mmdet - INFO - Epoch [14][5600/7330] lr: 1.000e-04, eta: 20:31:36, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0329, loss_cls: 0.1772, acc: 93.6604, loss_bbox: 0.2156, loss_mask: 0.2210, loss: 0.6720 +2022-09-22 14:57:05,862 - mmdet - INFO - Epoch [14][5650/7330] lr: 1.000e-04, eta: 20:31:10, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0318, loss_cls: 0.1716, acc: 93.6838, loss_bbox: 0.2125, loss_mask: 0.2199, loss: 0.6602 +2022-09-22 14:57:27,954 - mmdet - INFO - Epoch [14][5700/7330] lr: 1.000e-04, eta: 20:30:46, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0342, loss_cls: 0.1656, acc: 93.9495, loss_bbox: 0.2089, loss_mask: 0.2211, loss: 0.6578 +2022-09-22 14:57:49,833 - mmdet - INFO - Epoch [14][5750/7330] lr: 1.000e-04, eta: 20:30:20, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0338, loss_cls: 0.1720, acc: 93.7949, loss_bbox: 0.2131, loss_mask: 0.2218, loss: 0.6670 +2022-09-22 14:58:12,277 - mmdet - INFO - Epoch [14][5800/7330] lr: 1.000e-04, eta: 20:29:57, time: 0.449, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0346, loss_cls: 0.1726, acc: 93.6777, loss_bbox: 0.2172, loss_mask: 0.2242, loss: 0.6731 +2022-09-22 14:58:34,588 - mmdet - INFO - Epoch [14][5850/7330] lr: 1.000e-04, eta: 20:29:32, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0334, loss_cls: 0.1699, acc: 93.9443, loss_bbox: 0.2084, loss_mask: 0.2240, loss: 0.6590 +2022-09-22 14:58:57,094 - mmdet - INFO - Epoch [14][5900/7330] lr: 1.000e-04, eta: 20:29:09, time: 0.450, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0335, loss_cls: 0.1667, acc: 94.0530, loss_bbox: 0.2079, loss_mask: 0.2203, loss: 0.6529 +2022-09-22 14:59:19,047 - mmdet - INFO - Epoch [14][5950/7330] lr: 1.000e-04, eta: 20:28:44, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0321, loss_cls: 0.1718, acc: 93.7859, loss_bbox: 0.2121, loss_mask: 0.2237, loss: 0.6649 +2022-09-22 14:59:41,036 - mmdet - INFO - Epoch [14][6000/7330] lr: 1.000e-04, eta: 20:28:19, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0332, loss_cls: 0.1750, acc: 93.6826, loss_bbox: 0.2116, loss_mask: 0.2166, loss: 0.6637 +2022-09-22 15:00:02,509 - mmdet - INFO - Epoch [14][6050/7330] lr: 1.000e-04, eta: 20:27:51, time: 0.430, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0296, loss_cls: 0.1546, acc: 94.4744, loss_bbox: 0.1935, loss_mask: 0.2137, loss: 0.6133 +2022-09-22 15:00:24,673 - mmdet - INFO - Epoch [14][6100/7330] lr: 1.000e-04, eta: 20:27:27, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0345, loss_cls: 0.1792, acc: 93.5244, loss_bbox: 0.2226, loss_mask: 0.2254, loss: 0.6880 +2022-09-22 15:00:46,597 - mmdet - INFO - Epoch [14][6150/7330] lr: 1.000e-04, eta: 20:27:01, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0361, loss_cls: 0.1782, acc: 93.6287, loss_bbox: 0.2185, loss_mask: 0.2249, loss: 0.6876 +2022-09-22 15:01:08,216 - mmdet - INFO - Epoch [14][6200/7330] lr: 1.000e-04, eta: 20:26:35, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0331, loss_cls: 0.1684, acc: 93.9585, loss_bbox: 0.2115, loss_mask: 0.2235, loss: 0.6608 +2022-09-22 15:01:30,086 - mmdet - INFO - Epoch [14][6250/7330] lr: 1.000e-04, eta: 20:26:09, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0322, loss_cls: 0.1637, acc: 94.0447, loss_bbox: 0.2076, loss_mask: 0.2172, loss: 0.6440 +2022-09-22 15:01:52,060 - mmdet - INFO - Epoch [14][6300/7330] lr: 1.000e-04, eta: 20:25:44, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0351, loss_cls: 0.1775, acc: 93.7102, loss_bbox: 0.2176, loss_mask: 0.2199, loss: 0.6760 +2022-09-22 15:02:13,996 - mmdet - INFO - Epoch [14][6350/7330] lr: 1.000e-04, eta: 20:25:18, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0312, loss_cls: 0.1678, acc: 94.0068, loss_bbox: 0.2026, loss_mask: 0.2236, loss: 0.6487 +2022-09-22 15:02:35,392 - mmdet - INFO - Epoch [14][6400/7330] lr: 1.000e-04, eta: 20:24:51, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0347, loss_cls: 0.1840, acc: 93.4360, loss_bbox: 0.2176, loss_mask: 0.2194, loss: 0.6817 +2022-09-22 15:02:56,874 - mmdet - INFO - Epoch [14][6450/7330] lr: 1.000e-04, eta: 20:24:24, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0317, loss_cls: 0.1671, acc: 93.9629, loss_bbox: 0.2094, loss_mask: 0.2156, loss: 0.6456 +2022-09-22 15:03:18,534 - mmdet - INFO - Epoch [14][6500/7330] lr: 1.000e-04, eta: 20:23:58, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0328, loss_cls: 0.1752, acc: 93.7715, loss_bbox: 0.2127, loss_mask: 0.2215, loss: 0.6662 +2022-09-22 15:03:40,275 - mmdet - INFO - Epoch [14][6550/7330] lr: 1.000e-04, eta: 20:23:31, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0312, loss_cls: 0.1737, acc: 93.8105, loss_bbox: 0.2119, loss_mask: 0.2170, loss: 0.6577 +2022-09-22 15:04:02,046 - mmdet - INFO - Epoch [14][6600/7330] lr: 1.000e-04, eta: 20:23:06, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0308, loss_cls: 0.1660, acc: 94.0579, loss_bbox: 0.2041, loss_mask: 0.2164, loss: 0.6412 +2022-09-22 15:04:23,676 - mmdet - INFO - Epoch [14][6650/7330] lr: 1.000e-04, eta: 20:22:39, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0319, loss_cls: 0.1756, acc: 93.7356, loss_bbox: 0.2126, loss_mask: 0.2261, loss: 0.6735 +2022-09-22 15:04:45,512 - mmdet - INFO - Epoch [14][6700/7330] lr: 1.000e-04, eta: 20:22:13, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0325, loss_cls: 0.1764, acc: 93.6130, loss_bbox: 0.2180, loss_mask: 0.2166, loss: 0.6651 +2022-09-22 15:05:07,360 - mmdet - INFO - Epoch [14][6750/7330] lr: 1.000e-04, eta: 20:21:47, time: 0.435, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0321, loss_cls: 0.1717, acc: 93.7769, loss_bbox: 0.2152, loss_mask: 0.2238, loss: 0.6673 +2022-09-22 15:05:28,870 - mmdet - INFO - Epoch [14][6800/7330] lr: 1.000e-04, eta: 20:21:21, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0312, loss_cls: 0.1709, acc: 93.8491, loss_bbox: 0.2118, loss_mask: 0.2196, loss: 0.6569 +2022-09-22 15:05:51,035 - mmdet - INFO - Epoch [14][6850/7330] lr: 1.000e-04, eta: 20:20:56, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0336, loss_cls: 0.1750, acc: 93.5586, loss_bbox: 0.2168, loss_mask: 0.2217, loss: 0.6686 +2022-09-22 15:06:12,834 - mmdet - INFO - Epoch [14][6900/7330] lr: 1.000e-04, eta: 20:20:31, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0308, loss_cls: 0.1712, acc: 93.8464, loss_bbox: 0.2092, loss_mask: 0.2207, loss: 0.6568 +2022-09-22 15:06:34,455 - mmdet - INFO - Epoch [14][6950/7330] lr: 1.000e-04, eta: 20:20:04, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0310, loss_cls: 0.1685, acc: 93.9231, loss_bbox: 0.2080, loss_mask: 0.2210, loss: 0.6520 +2022-09-22 15:06:56,671 - mmdet - INFO - Epoch [14][7000/7330] lr: 1.000e-04, eta: 20:19:40, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0324, loss_cls: 0.1713, acc: 93.7588, loss_bbox: 0.2126, loss_mask: 0.2221, loss: 0.6628 +2022-09-22 15:07:18,065 - mmdet - INFO - Epoch [14][7050/7330] lr: 1.000e-04, eta: 20:19:13, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0330, loss_cls: 0.1711, acc: 93.8064, loss_bbox: 0.2094, loss_mask: 0.2170, loss: 0.6556 +2022-09-22 15:07:39,775 - mmdet - INFO - Epoch [14][7100/7330] lr: 1.000e-04, eta: 20:18:47, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0346, loss_cls: 0.1762, acc: 93.6697, loss_bbox: 0.2203, loss_mask: 0.2273, loss: 0.6829 +2022-09-22 15:08:01,769 - mmdet - INFO - Epoch [14][7150/7330] lr: 1.000e-04, eta: 20:18:22, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0344, loss_cls: 0.1804, acc: 93.3862, loss_bbox: 0.2224, loss_mask: 0.2267, loss: 0.6900 +2022-09-22 15:08:23,774 - mmdet - INFO - Epoch [14][7200/7330] lr: 1.000e-04, eta: 20:17:57, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0340, loss_cls: 0.1660, acc: 93.9185, loss_bbox: 0.2082, loss_mask: 0.2143, loss: 0.6465 +2022-09-22 15:08:45,747 - mmdet - INFO - Epoch [14][7250/7330] lr: 1.000e-04, eta: 20:17:31, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0315, loss_cls: 0.1684, acc: 93.9580, loss_bbox: 0.2084, loss_mask: 0.2206, loss: 0.6510 +2022-09-22 15:09:07,735 - mmdet - INFO - Epoch [14][7300/7330] lr: 1.000e-04, eta: 20:17:06, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0331, loss_cls: 0.1582, acc: 94.2500, loss_bbox: 0.1972, loss_mask: 0.2213, loss: 0.6358 +2022-09-22 15:09:29,932 - mmdet - INFO - Saving checkpoint at 14 epochs +2022-09-22 15:11:40,073 - mmdet - INFO - Evaluating bbox... +2022-09-22 15:12:05,565 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.479 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.708 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.526 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.329 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.516 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.618 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.606 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.606 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.606 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.439 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.646 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.748 + +2022-09-22 15:12:05,565 - mmdet - INFO - Evaluating segm... +2022-09-22 15:12:39,063 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.432 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.679 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.466 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.256 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.467 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.553 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.553 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.553 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.382 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.596 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.710 + +2022-09-22 15:12:39,792 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 15:12:39,793 - mmdet - INFO - Epoch(val) [14][625] bbox_mAP: 0.4790, bbox_mAP_50: 0.7080, bbox_mAP_75: 0.5260, bbox_mAP_s: 0.3290, bbox_mAP_m: 0.5160, bbox_mAP_l: 0.6180, bbox_mAP_copypaste: 0.479 0.708 0.526 0.329 0.516 0.618, segm_mAP: 0.4320, segm_mAP_50: 0.6790, segm_mAP_75: 0.4660, segm_mAP_s: 0.2560, segm_mAP_m: 0.4670, segm_mAP_l: 0.6160, segm_mAP_copypaste: 0.432 0.679 0.466 0.256 0.467 0.616 +2022-09-22 15:15:07,199 - mmdet - INFO - Epoch [15][50/7330] lr: 1.000e-04, eta: 20:23:17, time: 2.947, data_time: 2.510, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0301, loss_cls: 0.1623, acc: 94.1367, loss_bbox: 0.2052, loss_mask: 0.2137, loss: 0.6319 +2022-09-22 15:15:29,103 - mmdet - INFO - Epoch [15][100/7330] lr: 1.000e-04, eta: 20:22:51, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0310, loss_cls: 0.1553, acc: 94.4656, loss_bbox: 0.1957, loss_mask: 0.2118, loss: 0.6160 +2022-09-22 15:15:51,140 - mmdet - INFO - Epoch [15][150/7330] lr: 1.000e-04, eta: 20:22:26, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0333, loss_cls: 0.1708, acc: 93.7126, loss_bbox: 0.2208, loss_mask: 0.2171, loss: 0.6668 +2022-09-22 15:16:13,170 - mmdet - INFO - Epoch [15][200/7330] lr: 1.000e-04, eta: 20:22:00, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0329, loss_cls: 0.1635, acc: 94.0183, loss_bbox: 0.2088, loss_mask: 0.2194, loss: 0.6489 +2022-09-22 15:16:35,629 - mmdet - INFO - Epoch [15][250/7330] lr: 1.000e-04, eta: 20:21:37, time: 0.449, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0326, loss_cls: 0.1664, acc: 93.9143, loss_bbox: 0.2111, loss_mask: 0.2200, loss: 0.6521 +2022-09-22 15:16:57,800 - mmdet - INFO - Epoch [15][300/7330] lr: 1.000e-04, eta: 20:21:12, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0335, loss_cls: 0.1627, acc: 94.0623, loss_bbox: 0.2067, loss_mask: 0.2097, loss: 0.6364 +2022-09-22 15:17:19,628 - mmdet - INFO - Epoch [15][350/7330] lr: 1.000e-04, eta: 20:20:45, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0325, loss_cls: 0.1748, acc: 93.5745, loss_bbox: 0.2209, loss_mask: 0.2214, loss: 0.6739 +2022-09-22 15:17:41,428 - mmdet - INFO - Epoch [15][400/7330] lr: 1.000e-04, eta: 20:20:19, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0336, loss_cls: 0.1673, acc: 93.8140, loss_bbox: 0.2084, loss_mask: 0.2162, loss: 0.6475 +2022-09-22 15:18:03,470 - mmdet - INFO - Epoch [15][450/7330] lr: 1.000e-04, eta: 20:19:54, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0336, loss_cls: 0.1691, acc: 93.7996, loss_bbox: 0.2159, loss_mask: 0.2246, loss: 0.6670 +2022-09-22 15:18:24,957 - mmdet - INFO - Epoch [15][500/7330] lr: 1.000e-04, eta: 20:19:27, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0335, loss_cls: 0.1707, acc: 93.8167, loss_bbox: 0.2133, loss_mask: 0.2228, loss: 0.6647 +2022-09-22 15:18:46,670 - mmdet - INFO - Epoch [15][550/7330] lr: 1.000e-04, eta: 20:19:00, time: 0.434, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0318, loss_cls: 0.1645, acc: 93.9668, loss_bbox: 0.2101, loss_mask: 0.2179, loss: 0.6478 +2022-09-22 15:19:08,019 - mmdet - INFO - Epoch [15][600/7330] lr: 1.000e-04, eta: 20:18:32, time: 0.426, data_time: 0.012, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0335, loss_cls: 0.1785, acc: 93.5322, loss_bbox: 0.2242, loss_mask: 0.2227, loss: 0.6837 +2022-09-22 15:19:29,952 - mmdet - INFO - Epoch [15][650/7330] lr: 1.000e-04, eta: 20:18:06, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0329, loss_cls: 0.1624, acc: 94.1089, loss_bbox: 0.2102, loss_mask: 0.2176, loss: 0.6461 +2022-09-22 15:19:51,405 - mmdet - INFO - Epoch [15][700/7330] lr: 1.000e-04, eta: 20:17:39, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0324, loss_cls: 0.1622, acc: 94.0029, loss_bbox: 0.2081, loss_mask: 0.2155, loss: 0.6407 +2022-09-22 15:20:13,728 - mmdet - INFO - Epoch [15][750/7330] lr: 1.000e-04, eta: 20:17:15, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0330, loss_cls: 0.1717, acc: 93.8008, loss_bbox: 0.2169, loss_mask: 0.2222, loss: 0.6672 +2022-09-22 15:20:35,541 - mmdet - INFO - Epoch [15][800/7330] lr: 1.000e-04, eta: 20:16:49, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0304, loss_cls: 0.1657, acc: 93.9902, loss_bbox: 0.2117, loss_mask: 0.2167, loss: 0.6453 +2022-09-22 15:20:56,982 - mmdet - INFO - Epoch [15][850/7330] lr: 1.000e-04, eta: 20:16:21, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0313, loss_cls: 0.1655, acc: 94.0249, loss_bbox: 0.2075, loss_mask: 0.2166, loss: 0.6455 +2022-09-22 15:21:18,656 - mmdet - INFO - Epoch [15][900/7330] lr: 1.000e-04, eta: 20:15:55, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0330, loss_cls: 0.1674, acc: 93.8347, loss_bbox: 0.2139, loss_mask: 0.2173, loss: 0.6539 +2022-09-22 15:21:40,256 - mmdet - INFO - Epoch [15][950/7330] lr: 1.000e-04, eta: 20:15:28, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0321, loss_cls: 0.1686, acc: 93.9954, loss_bbox: 0.2130, loss_mask: 0.2146, loss: 0.6516 +2022-09-22 15:22:02,080 - mmdet - INFO - Epoch [15][1000/7330] lr: 1.000e-04, eta: 20:15:02, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0340, loss_cls: 0.1701, acc: 93.8662, loss_bbox: 0.2106, loss_mask: 0.2169, loss: 0.6570 +2022-09-22 15:22:24,163 - mmdet - INFO - Epoch [15][1050/7330] lr: 1.000e-04, eta: 20:14:37, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1620, acc: 93.9583, loss_bbox: 0.2123, loss_mask: 0.2225, loss: 0.6533 +2022-09-22 15:22:45,821 - mmdet - INFO - Epoch [15][1100/7330] lr: 1.000e-04, eta: 20:14:10, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0295, loss_cls: 0.1639, acc: 93.9919, loss_bbox: 0.2049, loss_mask: 0.2148, loss: 0.6350 +2022-09-22 15:23:07,755 - mmdet - INFO - Epoch [15][1150/7330] lr: 1.000e-04, eta: 20:13:44, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0344, loss_cls: 0.1691, acc: 93.8660, loss_bbox: 0.2152, loss_mask: 0.2188, loss: 0.6614 +2022-09-22 15:23:29,201 - mmdet - INFO - Epoch [15][1200/7330] lr: 1.000e-04, eta: 20:13:17, time: 0.429, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0317, loss_cls: 0.1737, acc: 93.9724, loss_bbox: 0.2069, loss_mask: 0.2191, loss: 0.6550 +2022-09-22 15:23:51,207 - mmdet - INFO - Epoch [15][1250/7330] lr: 1.000e-04, eta: 20:12:52, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0335, loss_cls: 0.1754, acc: 93.7405, loss_bbox: 0.2138, loss_mask: 0.2163, loss: 0.6643 +2022-09-22 15:24:12,675 - mmdet - INFO - Epoch [15][1300/7330] lr: 1.000e-04, eta: 20:12:25, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0320, loss_cls: 0.1619, acc: 94.1274, loss_bbox: 0.1984, loss_mask: 0.2137, loss: 0.6302 +2022-09-22 15:24:34,538 - mmdet - INFO - Epoch [15][1350/7330] lr: 1.000e-04, eta: 20:11:59, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0322, loss_cls: 0.1657, acc: 93.9861, loss_bbox: 0.2047, loss_mask: 0.2179, loss: 0.6439 +2022-09-22 15:24:56,186 - mmdet - INFO - Epoch [15][1400/7330] lr: 1.000e-04, eta: 20:11:32, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0323, loss_cls: 0.1703, acc: 93.8005, loss_bbox: 0.2156, loss_mask: 0.2227, loss: 0.6644 +2022-09-22 15:25:17,744 - mmdet - INFO - Epoch [15][1450/7330] lr: 1.000e-04, eta: 20:11:05, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0327, loss_cls: 0.1690, acc: 93.8557, loss_bbox: 0.2143, loss_mask: 0.2197, loss: 0.6591 +2022-09-22 15:25:40,487 - mmdet - INFO - Epoch [15][1500/7330] lr: 1.000e-04, eta: 20:10:43, time: 0.455, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0335, loss_cls: 0.1660, acc: 93.9888, loss_bbox: 0.2088, loss_mask: 0.2138, loss: 0.6470 +2022-09-22 15:26:02,019 - mmdet - INFO - Epoch [15][1550/7330] lr: 1.000e-04, eta: 20:10:16, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0297, loss_cls: 0.1628, acc: 94.1948, loss_bbox: 0.1960, loss_mask: 0.2124, loss: 0.6227 +2022-09-22 15:26:23,882 - mmdet - INFO - Epoch [15][1600/7330] lr: 1.000e-04, eta: 20:09:50, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0329, loss_cls: 0.1607, acc: 94.0227, loss_bbox: 0.2088, loss_mask: 0.2225, loss: 0.6499 +2022-09-22 15:26:45,743 - mmdet - INFO - Epoch [15][1650/7330] lr: 1.000e-04, eta: 20:09:24, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0319, loss_cls: 0.1562, acc: 94.3225, loss_bbox: 0.1987, loss_mask: 0.2168, loss: 0.6279 +2022-09-22 15:27:07,667 - mmdet - INFO - Epoch [15][1700/7330] lr: 1.000e-04, eta: 20:08:58, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0341, loss_cls: 0.1757, acc: 93.6331, loss_bbox: 0.2187, loss_mask: 0.2164, loss: 0.6695 +2022-09-22 15:27:29,843 - mmdet - INFO - Epoch [15][1750/7330] lr: 1.000e-04, eta: 20:08:34, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0336, loss_cls: 0.1724, acc: 93.8142, loss_bbox: 0.2160, loss_mask: 0.2158, loss: 0.6613 +2022-09-22 15:27:51,746 - mmdet - INFO - Epoch [15][1800/7330] lr: 1.000e-04, eta: 20:08:08, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0319, loss_cls: 0.1691, acc: 93.9988, loss_bbox: 0.2066, loss_mask: 0.2164, loss: 0.6483 +2022-09-22 15:28:13,637 - mmdet - INFO - Epoch [15][1850/7330] lr: 1.000e-04, eta: 20:07:43, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0333, loss_cls: 0.1669, acc: 93.9966, loss_bbox: 0.2051, loss_mask: 0.2160, loss: 0.6449 +2022-09-22 15:28:35,332 - mmdet - INFO - Epoch [15][1900/7330] lr: 1.000e-04, eta: 20:07:16, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0316, loss_cls: 0.1653, acc: 93.9556, loss_bbox: 0.2084, loss_mask: 0.2157, loss: 0.6438 +2022-09-22 15:28:57,164 - mmdet - INFO - Epoch [15][1950/7330] lr: 1.000e-04, eta: 20:06:50, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0319, loss_cls: 0.1666, acc: 93.9387, loss_bbox: 0.2134, loss_mask: 0.2165, loss: 0.6531 +2022-09-22 15:29:19,218 - mmdet - INFO - Epoch [15][2000/7330] lr: 1.000e-04, eta: 20:06:25, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0316, loss_cls: 0.1703, acc: 93.8914, loss_bbox: 0.2155, loss_mask: 0.2192, loss: 0.6605 +2022-09-22 15:29:41,254 - mmdet - INFO - Epoch [15][2050/7330] lr: 1.000e-04, eta: 20:06:00, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0322, loss_cls: 0.1686, acc: 93.8755, loss_bbox: 0.2116, loss_mask: 0.2286, loss: 0.6640 +2022-09-22 15:30:03,311 - mmdet - INFO - Epoch [15][2100/7330] lr: 1.000e-04, eta: 20:05:35, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0312, loss_cls: 0.1687, acc: 93.8901, loss_bbox: 0.2126, loss_mask: 0.2182, loss: 0.6533 +2022-09-22 15:30:24,855 - mmdet - INFO - Epoch [15][2150/7330] lr: 1.000e-04, eta: 20:05:08, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0323, loss_cls: 0.1708, acc: 93.8396, loss_bbox: 0.2103, loss_mask: 0.2181, loss: 0.6572 +2022-09-22 15:30:46,750 - mmdet - INFO - Epoch [15][2200/7330] lr: 1.000e-04, eta: 20:04:43, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0318, loss_cls: 0.1599, acc: 94.0781, loss_bbox: 0.2041, loss_mask: 0.2114, loss: 0.6301 +2022-09-22 15:31:08,855 - mmdet - INFO - Epoch [15][2250/7330] lr: 1.000e-04, eta: 20:04:18, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0337, loss_cls: 0.1799, acc: 93.6045, loss_bbox: 0.2198, loss_mask: 0.2280, loss: 0.6868 +2022-09-22 15:31:30,632 - mmdet - INFO - Epoch [15][2300/7330] lr: 1.000e-04, eta: 20:03:52, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0309, loss_cls: 0.1725, acc: 93.7244, loss_bbox: 0.2110, loss_mask: 0.2211, loss: 0.6578 +2022-09-22 15:31:52,362 - mmdet - INFO - Epoch [15][2350/7330] lr: 1.000e-04, eta: 20:03:26, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0321, loss_cls: 0.1665, acc: 94.0259, loss_bbox: 0.2061, loss_mask: 0.2133, loss: 0.6427 +2022-09-22 15:32:14,133 - mmdet - INFO - Epoch [15][2400/7330] lr: 1.000e-04, eta: 20:03:00, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0334, loss_cls: 0.1735, acc: 93.6968, loss_bbox: 0.2163, loss_mask: 0.2143, loss: 0.6620 +2022-09-22 15:32:35,701 - mmdet - INFO - Epoch [15][2450/7330] lr: 1.000e-04, eta: 20:02:33, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0317, loss_cls: 0.1629, acc: 94.0232, loss_bbox: 0.2065, loss_mask: 0.2173, loss: 0.6439 +2022-09-22 15:32:57,919 - mmdet - INFO - Epoch [15][2500/7330] lr: 1.000e-04, eta: 20:02:09, time: 0.444, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0324, loss_cls: 0.1712, acc: 93.7793, loss_bbox: 0.2127, loss_mask: 0.2177, loss: 0.6572 +2022-09-22 15:33:19,981 - mmdet - INFO - Epoch [15][2550/7330] lr: 1.000e-04, eta: 20:01:44, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0335, loss_cls: 0.1743, acc: 93.7737, loss_bbox: 0.2145, loss_mask: 0.2194, loss: 0.6650 +2022-09-22 15:33:41,561 - mmdet - INFO - Epoch [15][2600/7330] lr: 1.000e-04, eta: 20:01:17, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0307, loss_cls: 0.1495, acc: 94.5293, loss_bbox: 0.1946, loss_mask: 0.2170, loss: 0.6166 +2022-09-22 15:34:03,497 - mmdet - INFO - Epoch [15][2650/7330] lr: 1.000e-04, eta: 20:00:52, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0329, loss_cls: 0.1688, acc: 93.7583, loss_bbox: 0.2095, loss_mask: 0.2180, loss: 0.6540 +2022-09-22 15:34:25,302 - mmdet - INFO - Epoch [15][2700/7330] lr: 1.000e-04, eta: 20:00:26, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0336, loss_cls: 0.1678, acc: 93.9512, loss_bbox: 0.2137, loss_mask: 0.2197, loss: 0.6588 +2022-09-22 15:34:47,347 - mmdet - INFO - Epoch [15][2750/7330] lr: 1.000e-04, eta: 20:00:01, time: 0.442, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0304, loss_cls: 0.1698, acc: 93.8572, loss_bbox: 0.2134, loss_mask: 0.2188, loss: 0.6538 +2022-09-22 15:35:09,347 - mmdet - INFO - Epoch [15][2800/7330] lr: 1.000e-04, eta: 19:59:36, time: 0.440, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0326, loss_cls: 0.1720, acc: 93.8135, loss_bbox: 0.2103, loss_mask: 0.2255, loss: 0.6652 +2022-09-22 15:35:30,946 - mmdet - INFO - Epoch [15][2850/7330] lr: 1.000e-04, eta: 19:59:10, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0303, loss_cls: 0.1651, acc: 94.1204, loss_bbox: 0.2026, loss_mask: 0.2152, loss: 0.6357 +2022-09-22 15:35:52,442 - mmdet - INFO - Epoch [15][2900/7330] lr: 1.000e-04, eta: 19:58:43, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0314, loss_cls: 0.1558, acc: 94.2441, loss_bbox: 0.1995, loss_mask: 0.2102, loss: 0.6192 +2022-09-22 15:36:14,444 - mmdet - INFO - Epoch [15][2950/7330] lr: 1.000e-04, eta: 19:58:18, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0321, loss_cls: 0.1689, acc: 93.8569, loss_bbox: 0.2143, loss_mask: 0.2186, loss: 0.6585 +2022-09-22 15:36:36,387 - mmdet - INFO - Epoch [15][3000/7330] lr: 1.000e-04, eta: 19:57:52, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0279, loss_cls: 0.1597, acc: 94.2700, loss_bbox: 0.1971, loss_mask: 0.2093, loss: 0.6154 +2022-09-22 15:36:58,056 - mmdet - INFO - Epoch [15][3050/7330] lr: 1.000e-04, eta: 19:57:26, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0317, loss_cls: 0.1734, acc: 93.7397, loss_bbox: 0.2122, loss_mask: 0.2230, loss: 0.6658 +2022-09-22 15:37:20,022 - mmdet - INFO - Epoch [15][3100/7330] lr: 1.000e-04, eta: 19:57:01, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0325, loss_cls: 0.1667, acc: 93.9453, loss_bbox: 0.2096, loss_mask: 0.2214, loss: 0.6549 +2022-09-22 15:37:41,778 - mmdet - INFO - Epoch [15][3150/7330] lr: 1.000e-04, eta: 19:56:35, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0326, loss_cls: 0.1684, acc: 93.9290, loss_bbox: 0.2134, loss_mask: 0.2153, loss: 0.6547 +2022-09-22 15:38:03,256 - mmdet - INFO - Epoch [15][3200/7330] lr: 1.000e-04, eta: 19:56:08, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0340, loss_cls: 0.1796, acc: 93.5396, loss_bbox: 0.2253, loss_mask: 0.2208, loss: 0.6867 +2022-09-22 15:38:24,775 - mmdet - INFO - Epoch [15][3250/7330] lr: 1.000e-04, eta: 19:55:42, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0323, loss_cls: 0.1721, acc: 93.8516, loss_bbox: 0.2107, loss_mask: 0.2205, loss: 0.6596 +2022-09-22 15:38:46,527 - mmdet - INFO - Epoch [15][3300/7330] lr: 1.000e-04, eta: 19:55:16, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0319, loss_cls: 0.1667, acc: 93.9812, loss_bbox: 0.2074, loss_mask: 0.2144, loss: 0.6423 +2022-09-22 15:39:08,744 - mmdet - INFO - Epoch [15][3350/7330] lr: 1.000e-04, eta: 19:54:51, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0307, loss_cls: 0.1681, acc: 93.9231, loss_bbox: 0.2054, loss_mask: 0.2154, loss: 0.6414 +2022-09-22 15:39:30,371 - mmdet - INFO - Epoch [15][3400/7330] lr: 1.000e-04, eta: 19:54:25, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0322, loss_cls: 0.1738, acc: 93.8066, loss_bbox: 0.2095, loss_mask: 0.2159, loss: 0.6567 +2022-09-22 15:39:52,193 - mmdet - INFO - Epoch [15][3450/7330] lr: 1.000e-04, eta: 19:54:00, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0323, loss_cls: 0.1654, acc: 93.9373, loss_bbox: 0.2131, loss_mask: 0.2175, loss: 0.6511 +2022-09-22 15:40:13,584 - mmdet - INFO - Epoch [15][3500/7330] lr: 1.000e-04, eta: 19:53:33, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0317, loss_cls: 0.1624, acc: 94.0620, loss_bbox: 0.2073, loss_mask: 0.2177, loss: 0.6422 +2022-09-22 15:40:35,506 - mmdet - INFO - Epoch [15][3550/7330] lr: 1.000e-04, eta: 19:53:07, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0338, loss_cls: 0.1703, acc: 93.6858, loss_bbox: 0.2162, loss_mask: 0.2224, loss: 0.6665 +2022-09-22 15:40:57,282 - mmdet - INFO - Epoch [15][3600/7330] lr: 1.000e-04, eta: 19:52:41, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0353, loss_cls: 0.1843, acc: 93.4016, loss_bbox: 0.2255, loss_mask: 0.2168, loss: 0.6884 +2022-09-22 15:41:19,132 - mmdet - INFO - Epoch [15][3650/7330] lr: 1.000e-04, eta: 19:52:16, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0325, loss_cls: 0.1522, acc: 94.4648, loss_bbox: 0.1945, loss_mask: 0.2121, loss: 0.6161 +2022-09-22 15:41:40,897 - mmdet - INFO - Epoch [15][3700/7330] lr: 1.000e-04, eta: 19:51:50, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0324, loss_cls: 0.1664, acc: 93.9326, loss_bbox: 0.2100, loss_mask: 0.2207, loss: 0.6538 +2022-09-22 15:42:03,178 - mmdet - INFO - Epoch [15][3750/7330] lr: 1.000e-04, eta: 19:51:26, time: 0.445, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0353, loss_cls: 0.1754, acc: 93.6650, loss_bbox: 0.2193, loss_mask: 0.2190, loss: 0.6734 +2022-09-22 15:42:25,351 - mmdet - INFO - Epoch [15][3800/7330] lr: 1.000e-04, eta: 19:51:02, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0362, loss_cls: 0.1792, acc: 93.5356, loss_bbox: 0.2204, loss_mask: 0.2295, loss: 0.6928 +2022-09-22 15:42:46,905 - mmdet - INFO - Epoch [15][3850/7330] lr: 1.000e-04, eta: 19:50:35, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0316, loss_cls: 0.1614, acc: 94.1211, loss_bbox: 0.2058, loss_mask: 0.2156, loss: 0.6370 +2022-09-22 15:43:08,896 - mmdet - INFO - Epoch [15][3900/7330] lr: 1.000e-04, eta: 19:50:10, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0335, loss_cls: 0.1720, acc: 93.7773, loss_bbox: 0.2124, loss_mask: 0.2179, loss: 0.6614 +2022-09-22 15:43:30,989 - mmdet - INFO - Epoch [15][3950/7330] lr: 1.000e-04, eta: 19:49:46, time: 0.442, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0331, loss_cls: 0.1753, acc: 93.6299, loss_bbox: 0.2134, loss_mask: 0.2235, loss: 0.6697 +2022-09-22 15:43:52,723 - mmdet - INFO - Epoch [15][4000/7330] lr: 1.000e-04, eta: 19:49:20, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0293, loss_cls: 0.1610, acc: 94.1357, loss_bbox: 0.1997, loss_mask: 0.2100, loss: 0.6206 +2022-09-22 15:44:14,903 - mmdet - INFO - Epoch [15][4050/7330] lr: 1.000e-04, eta: 19:48:55, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0357, loss_cls: 0.1836, acc: 93.3938, loss_bbox: 0.2287, loss_mask: 0.2290, loss: 0.7055 +2022-09-22 15:44:36,625 - mmdet - INFO - Epoch [15][4100/7330] lr: 1.000e-04, eta: 19:48:30, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0320, loss_cls: 0.1742, acc: 93.7349, loss_bbox: 0.2130, loss_mask: 0.2214, loss: 0.6634 +2022-09-22 15:44:58,562 - mmdet - INFO - Epoch [15][4150/7330] lr: 1.000e-04, eta: 19:48:05, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0333, loss_cls: 0.1749, acc: 93.6724, loss_bbox: 0.2179, loss_mask: 0.2239, loss: 0.6748 +2022-09-22 15:45:20,065 - mmdet - INFO - Epoch [15][4200/7330] lr: 1.000e-04, eta: 19:47:38, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0315, loss_cls: 0.1636, acc: 94.1270, loss_bbox: 0.2048, loss_mask: 0.2166, loss: 0.6396 +2022-09-22 15:45:42,132 - mmdet - INFO - Epoch [15][4250/7330] lr: 1.000e-04, eta: 19:47:13, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0326, loss_cls: 0.1670, acc: 94.0090, loss_bbox: 0.2139, loss_mask: 0.2178, loss: 0.6550 +2022-09-22 15:46:04,191 - mmdet - INFO - Epoch [15][4300/7330] lr: 1.000e-04, eta: 19:46:49, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0319, loss_cls: 0.1680, acc: 93.8896, loss_bbox: 0.2071, loss_mask: 0.2188, loss: 0.6480 +2022-09-22 15:46:25,752 - mmdet - INFO - Epoch [15][4350/7330] lr: 1.000e-04, eta: 19:46:22, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0313, loss_cls: 0.1656, acc: 94.0396, loss_bbox: 0.2048, loss_mask: 0.2150, loss: 0.6398 +2022-09-22 15:46:47,250 - mmdet - INFO - Epoch [15][4400/7330] lr: 1.000e-04, eta: 19:45:56, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0333, loss_cls: 0.1635, acc: 94.0320, loss_bbox: 0.2048, loss_mask: 0.2191, loss: 0.6439 +2022-09-22 15:47:09,121 - mmdet - INFO - Epoch [15][4450/7330] lr: 1.000e-04, eta: 19:45:30, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0326, loss_cls: 0.1672, acc: 93.8857, loss_bbox: 0.2104, loss_mask: 0.2164, loss: 0.6506 +2022-09-22 15:47:30,797 - mmdet - INFO - Epoch [15][4500/7330] lr: 1.000e-04, eta: 19:45:04, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0327, loss_cls: 0.1716, acc: 93.9016, loss_bbox: 0.2092, loss_mask: 0.2191, loss: 0.6586 +2022-09-22 15:47:52,634 - mmdet - INFO - Epoch [15][4550/7330] lr: 1.000e-04, eta: 19:44:39, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0317, loss_cls: 0.1615, acc: 94.1799, loss_bbox: 0.2017, loss_mask: 0.2178, loss: 0.6358 +2022-09-22 15:48:14,108 - mmdet - INFO - Epoch [15][4600/7330] lr: 1.000e-04, eta: 19:44:13, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0346, loss_cls: 0.1635, acc: 94.0740, loss_bbox: 0.2135, loss_mask: 0.2252, loss: 0.6626 +2022-09-22 15:48:36,193 - mmdet - INFO - Epoch [15][4650/7330] lr: 1.000e-04, eta: 19:43:48, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0315, loss_cls: 0.1598, acc: 94.2002, loss_bbox: 0.2053, loss_mask: 0.2207, loss: 0.6400 +2022-09-22 15:48:57,632 - mmdet - INFO - Epoch [15][4700/7330] lr: 1.000e-04, eta: 19:43:21, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0324, loss_cls: 0.1654, acc: 94.0752, loss_bbox: 0.2066, loss_mask: 0.2199, loss: 0.6477 +2022-09-22 15:49:19,143 - mmdet - INFO - Epoch [15][4750/7330] lr: 1.000e-04, eta: 19:42:55, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0332, loss_cls: 0.1741, acc: 93.7512, loss_bbox: 0.2168, loss_mask: 0.2250, loss: 0.6751 +2022-09-22 15:49:41,117 - mmdet - INFO - Epoch [15][4800/7330] lr: 1.000e-04, eta: 19:42:30, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0306, loss_cls: 0.1676, acc: 93.8982, loss_bbox: 0.2070, loss_mask: 0.2142, loss: 0.6444 +2022-09-22 15:50:03,267 - mmdet - INFO - Epoch [15][4850/7330] lr: 1.000e-04, eta: 19:42:06, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0324, loss_cls: 0.1677, acc: 93.8096, loss_bbox: 0.2132, loss_mask: 0.2181, loss: 0.6543 +2022-09-22 15:50:25,105 - mmdet - INFO - Epoch [15][4900/7330] lr: 1.000e-04, eta: 19:41:40, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0311, loss_cls: 0.1660, acc: 93.9543, loss_bbox: 0.2106, loss_mask: 0.2235, loss: 0.6537 +2022-09-22 15:50:47,441 - mmdet - INFO - Epoch [15][4950/7330] lr: 1.000e-04, eta: 19:41:16, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0306, loss_cls: 0.1761, acc: 93.6553, loss_bbox: 0.2117, loss_mask: 0.2165, loss: 0.6568 +2022-09-22 15:51:09,561 - mmdet - INFO - Epoch [15][5000/7330] lr: 1.000e-04, eta: 19:40:52, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0380, loss_cls: 0.1711, acc: 93.8044, loss_bbox: 0.2130, loss_mask: 0.2222, loss: 0.6727 +2022-09-22 15:51:30,941 - mmdet - INFO - Epoch [15][5050/7330] lr: 1.000e-04, eta: 19:40:25, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0315, loss_cls: 0.1609, acc: 94.1868, loss_bbox: 0.2015, loss_mask: 0.2147, loss: 0.6318 +2022-09-22 15:51:52,833 - mmdet - INFO - Epoch [15][5100/7330] lr: 1.000e-04, eta: 19:40:00, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0316, loss_cls: 0.1642, acc: 94.0139, loss_bbox: 0.2056, loss_mask: 0.2158, loss: 0.6408 +2022-09-22 15:52:14,810 - mmdet - INFO - Epoch [15][5150/7330] lr: 1.000e-04, eta: 19:39:35, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0334, loss_cls: 0.1736, acc: 93.7090, loss_bbox: 0.2134, loss_mask: 0.2210, loss: 0.6649 +2022-09-22 15:52:36,852 - mmdet - INFO - Epoch [15][5200/7330] lr: 1.000e-04, eta: 19:39:11, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0313, loss_cls: 0.1598, acc: 94.1746, loss_bbox: 0.2048, loss_mask: 0.2131, loss: 0.6305 +2022-09-22 15:52:58,591 - mmdet - INFO - Epoch [15][5250/7330] lr: 1.000e-04, eta: 19:38:45, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0315, loss_cls: 0.1650, acc: 94.0408, loss_bbox: 0.2063, loss_mask: 0.2203, loss: 0.6446 +2022-09-22 15:53:20,424 - mmdet - INFO - Epoch [15][5300/7330] lr: 1.000e-04, eta: 19:38:20, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0328, loss_cls: 0.1657, acc: 94.0029, loss_bbox: 0.2088, loss_mask: 0.2258, loss: 0.6585 +2022-09-22 15:53:42,324 - mmdet - INFO - Epoch [15][5350/7330] lr: 1.000e-04, eta: 19:37:55, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0319, loss_cls: 0.1640, acc: 94.0903, loss_bbox: 0.2049, loss_mask: 0.2183, loss: 0.6445 +2022-09-22 15:54:03,762 - mmdet - INFO - Epoch [15][5400/7330] lr: 1.000e-04, eta: 19:37:28, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0328, loss_cls: 0.1730, acc: 93.7871, loss_bbox: 0.2086, loss_mask: 0.2129, loss: 0.6524 +2022-09-22 15:54:25,704 - mmdet - INFO - Epoch [15][5450/7330] lr: 1.000e-04, eta: 19:37:03, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0314, loss_cls: 0.1602, acc: 94.1689, loss_bbox: 0.2033, loss_mask: 0.2157, loss: 0.6335 +2022-09-22 15:54:47,063 - mmdet - INFO - Epoch [15][5500/7330] lr: 1.000e-04, eta: 19:36:36, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0301, loss_cls: 0.1702, acc: 93.9075, loss_bbox: 0.2073, loss_mask: 0.2192, loss: 0.6514 +2022-09-22 15:55:08,978 - mmdet - INFO - Epoch [15][5550/7330] lr: 1.000e-04, eta: 19:36:11, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0331, loss_cls: 0.1678, acc: 93.9814, loss_bbox: 0.2122, loss_mask: 0.2190, loss: 0.6571 +2022-09-22 15:55:30,769 - mmdet - INFO - Epoch [15][5600/7330] lr: 1.000e-04, eta: 19:35:46, time: 0.436, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0323, loss_cls: 0.1723, acc: 93.8838, loss_bbox: 0.2109, loss_mask: 0.2207, loss: 0.6605 +2022-09-22 15:55:52,208 - mmdet - INFO - Epoch [15][5650/7330] lr: 1.000e-04, eta: 19:35:19, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0342, loss_cls: 0.1700, acc: 93.8010, loss_bbox: 0.2198, loss_mask: 0.2315, loss: 0.6814 +2022-09-22 15:56:13,808 - mmdet - INFO - Epoch [15][5700/7330] lr: 1.000e-04, eta: 19:34:53, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0337, loss_cls: 0.1613, acc: 94.1252, loss_bbox: 0.2072, loss_mask: 0.2161, loss: 0.6425 +2022-09-22 15:56:35,544 - mmdet - INFO - Epoch [15][5750/7330] lr: 1.000e-04, eta: 19:34:28, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0336, loss_cls: 0.1724, acc: 93.7468, loss_bbox: 0.2185, loss_mask: 0.2272, loss: 0.6773 +2022-09-22 15:56:57,712 - mmdet - INFO - Epoch [15][5800/7330] lr: 1.000e-04, eta: 19:34:04, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0339, loss_cls: 0.1683, acc: 93.9702, loss_bbox: 0.2133, loss_mask: 0.2258, loss: 0.6664 +2022-09-22 15:57:20,096 - mmdet - INFO - Epoch [15][5850/7330] lr: 1.000e-04, eta: 19:33:40, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0330, loss_cls: 0.1675, acc: 93.8997, loss_bbox: 0.2102, loss_mask: 0.2184, loss: 0.6522 +2022-09-22 15:57:42,015 - mmdet - INFO - Epoch [15][5900/7330] lr: 1.000e-04, eta: 19:33:15, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0320, loss_cls: 0.1693, acc: 93.8098, loss_bbox: 0.2071, loss_mask: 0.2173, loss: 0.6490 +2022-09-22 15:58:03,468 - mmdet - INFO - Epoch [15][5950/7330] lr: 1.000e-04, eta: 19:32:49, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0317, loss_cls: 0.1615, acc: 94.1790, loss_bbox: 0.2039, loss_mask: 0.2194, loss: 0.6389 +2022-09-22 15:58:25,295 - mmdet - INFO - Epoch [15][6000/7330] lr: 1.000e-04, eta: 19:32:24, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0330, loss_cls: 0.1626, acc: 94.0879, loss_bbox: 0.2020, loss_mask: 0.2193, loss: 0.6390 +2022-09-22 15:58:47,391 - mmdet - INFO - Epoch [15][6050/7330] lr: 1.000e-04, eta: 19:31:59, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0337, loss_cls: 0.1739, acc: 93.8142, loss_bbox: 0.2115, loss_mask: 0.2179, loss: 0.6610 +2022-09-22 15:59:09,173 - mmdet - INFO - Epoch [15][6100/7330] lr: 1.000e-04, eta: 19:31:34, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0325, loss_cls: 0.1702, acc: 93.8674, loss_bbox: 0.2149, loss_mask: 0.2233, loss: 0.6656 +2022-09-22 15:59:30,595 - mmdet - INFO - Epoch [15][6150/7330] lr: 1.000e-04, eta: 19:31:07, time: 0.428, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0336, loss_cls: 0.1779, acc: 93.6123, loss_bbox: 0.2195, loss_mask: 0.2202, loss: 0.6775 +2022-09-22 15:59:52,319 - mmdet - INFO - Epoch [15][6200/7330] lr: 1.000e-04, eta: 19:30:42, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0336, loss_cls: 0.1796, acc: 93.5217, loss_bbox: 0.2200, loss_mask: 0.2269, loss: 0.6860 +2022-09-22 16:00:14,165 - mmdet - INFO - Epoch [15][6250/7330] lr: 1.000e-04, eta: 19:30:17, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0320, loss_cls: 0.1717, acc: 93.8062, loss_bbox: 0.2045, loss_mask: 0.2177, loss: 0.6492 +2022-09-22 16:00:36,238 - mmdet - INFO - Epoch [15][6300/7330] lr: 1.000e-04, eta: 19:29:52, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0336, loss_cls: 0.1774, acc: 93.6235, loss_bbox: 0.2154, loss_mask: 0.2217, loss: 0.6733 +2022-09-22 16:00:57,737 - mmdet - INFO - Epoch [15][6350/7330] lr: 1.000e-04, eta: 19:29:26, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0305, loss_cls: 0.1650, acc: 94.0635, loss_bbox: 0.2076, loss_mask: 0.2117, loss: 0.6378 +2022-09-22 16:01:19,725 - mmdet - INFO - Epoch [15][6400/7330] lr: 1.000e-04, eta: 19:29:01, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0331, loss_cls: 0.1755, acc: 93.6602, loss_bbox: 0.2132, loss_mask: 0.2205, loss: 0.6663 +2022-09-22 16:01:41,178 - mmdet - INFO - Epoch [15][6450/7330] lr: 1.000e-04, eta: 19:28:35, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0333, loss_cls: 0.1779, acc: 93.5967, loss_bbox: 0.2222, loss_mask: 0.2237, loss: 0.6810 +2022-09-22 16:02:03,434 - mmdet - INFO - Epoch [15][6500/7330] lr: 1.000e-04, eta: 19:28:11, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0306, loss_cls: 0.1610, acc: 94.1996, loss_bbox: 0.1997, loss_mask: 0.2130, loss: 0.6272 +2022-09-22 16:02:25,417 - mmdet - INFO - Epoch [15][6550/7330] lr: 1.000e-04, eta: 19:27:47, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0314, loss_cls: 0.1705, acc: 93.8584, loss_bbox: 0.2103, loss_mask: 0.2189, loss: 0.6541 +2022-09-22 16:02:47,224 - mmdet - INFO - Epoch [15][6600/7330] lr: 1.000e-04, eta: 19:27:21, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0314, loss_cls: 0.1656, acc: 93.9922, loss_bbox: 0.2063, loss_mask: 0.2114, loss: 0.6385 +2022-09-22 16:03:08,833 - mmdet - INFO - Epoch [15][6650/7330] lr: 1.000e-04, eta: 19:26:56, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0322, loss_cls: 0.1602, acc: 94.1223, loss_bbox: 0.2060, loss_mask: 0.2170, loss: 0.6386 +2022-09-22 16:03:30,599 - mmdet - INFO - Epoch [15][6700/7330] lr: 1.000e-04, eta: 19:26:30, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0313, loss_cls: 0.1619, acc: 94.1052, loss_bbox: 0.2009, loss_mask: 0.2174, loss: 0.6350 +2022-09-22 16:03:52,295 - mmdet - INFO - Epoch [15][6750/7330] lr: 1.000e-04, eta: 19:26:05, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0338, loss_cls: 0.1825, acc: 93.3337, loss_bbox: 0.2236, loss_mask: 0.2288, loss: 0.6937 +2022-09-22 16:04:13,825 - mmdet - INFO - Epoch [15][6800/7330] lr: 1.000e-04, eta: 19:25:39, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0318, loss_cls: 0.1712, acc: 93.8711, loss_bbox: 0.2135, loss_mask: 0.2210, loss: 0.6616 +2022-09-22 16:04:35,585 - mmdet - INFO - Epoch [15][6850/7330] lr: 1.000e-04, eta: 19:25:13, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0336, loss_cls: 0.1838, acc: 93.4133, loss_bbox: 0.2233, loss_mask: 0.2199, loss: 0.6853 +2022-09-22 16:04:57,946 - mmdet - INFO - Epoch [15][6900/7330] lr: 1.000e-04, eta: 19:24:50, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0299, loss_cls: 0.1548, acc: 94.4209, loss_bbox: 0.1941, loss_mask: 0.2129, loss: 0.6133 +2022-09-22 16:05:19,925 - mmdet - INFO - Epoch [15][6950/7330] lr: 1.000e-04, eta: 19:24:25, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0304, loss_cls: 0.1660, acc: 93.9934, loss_bbox: 0.2042, loss_mask: 0.2140, loss: 0.6373 +2022-09-22 16:05:42,028 - mmdet - INFO - Epoch [15][7000/7330] lr: 1.000e-04, eta: 19:24:01, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0330, loss_cls: 0.1769, acc: 93.5945, loss_bbox: 0.2217, loss_mask: 0.2176, loss: 0.6750 +2022-09-22 16:06:04,270 - mmdet - INFO - Epoch [15][7050/7330] lr: 1.000e-04, eta: 19:23:37, time: 0.445, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0331, loss_cls: 0.1693, acc: 93.9502, loss_bbox: 0.2087, loss_mask: 0.2218, loss: 0.6578 +2022-09-22 16:06:26,214 - mmdet - INFO - Epoch [15][7100/7330] lr: 1.000e-04, eta: 19:23:13, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0307, loss_cls: 0.1603, acc: 94.2412, loss_bbox: 0.2037, loss_mask: 0.2156, loss: 0.6317 +2022-09-22 16:06:48,257 - mmdet - INFO - Epoch [15][7150/7330] lr: 1.000e-04, eta: 19:22:48, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0329, loss_cls: 0.1681, acc: 93.9639, loss_bbox: 0.2092, loss_mask: 0.2153, loss: 0.6513 +2022-09-22 16:07:10,091 - mmdet - INFO - Epoch [15][7200/7330] lr: 1.000e-04, eta: 19:22:23, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0344, loss_cls: 0.1754, acc: 93.5691, loss_bbox: 0.2207, loss_mask: 0.2194, loss: 0.6774 +2022-09-22 16:07:32,130 - mmdet - INFO - Epoch [15][7250/7330] lr: 1.000e-04, eta: 19:21:59, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0335, loss_cls: 0.1749, acc: 93.7021, loss_bbox: 0.2150, loss_mask: 0.2222, loss: 0.6715 +2022-09-22 16:07:54,398 - mmdet - INFO - Epoch [15][7300/7330] lr: 1.000e-04, eta: 19:21:35, time: 0.445, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0332, loss_cls: 0.1714, acc: 93.7732, loss_bbox: 0.2144, loss_mask: 0.2206, loss: 0.6651 +2022-09-22 16:08:17,209 - mmdet - INFO - Saving checkpoint at 15 epochs +2022-09-22 16:10:40,376 - mmdet - INFO - Evaluating bbox... +2022-09-22 16:11:07,946 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.480 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.703 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.530 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.324 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.515 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.605 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.605 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.605 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.433 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.642 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.762 + +2022-09-22 16:11:07,946 - mmdet - INFO - Evaluating segm... +2022-09-22 16:11:41,319 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.428 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.672 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.461 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.237 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.464 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.621 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.547 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.547 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.547 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.369 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.586 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.714 + +2022-09-22 16:11:41,998 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:11:41,999 - mmdet - INFO - Epoch(val) [15][625] bbox_mAP: 0.4800, bbox_mAP_50: 0.7030, bbox_mAP_75: 0.5300, bbox_mAP_s: 0.3240, bbox_mAP_m: 0.5150, bbox_mAP_l: 0.6270, bbox_mAP_copypaste: 0.480 0.703 0.530 0.324 0.515 0.627, segm_mAP: 0.4280, segm_mAP_50: 0.6720, segm_mAP_75: 0.4610, segm_mAP_s: 0.2370, segm_mAP_m: 0.4640, segm_mAP_l: 0.6210, segm_mAP_copypaste: 0.428 0.672 0.461 0.237 0.464 0.621 +2022-09-22 16:14:10,983 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:14:10,986 - mmdet - INFO - Epoch [16][50/7330] lr: 1.000e-04, eta: 19:26:36, time: 2.978, data_time: 2.533, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0304, loss_cls: 0.1570, acc: 94.3689, loss_bbox: 0.1984, loss_mask: 0.2098, loss: 0.6164 +2022-09-22 16:14:33,446 - mmdet - INFO - Epoch [16][100/7330] lr: 1.000e-04, eta: 19:26:13, time: 0.449, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0315, loss_cls: 0.1612, acc: 94.1194, loss_bbox: 0.2047, loss_mask: 0.2162, loss: 0.6369 +2022-09-22 16:14:55,487 - mmdet - INFO - Epoch [16][150/7330] lr: 1.000e-04, eta: 19:25:48, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0318, loss_cls: 0.1726, acc: 93.7163, loss_bbox: 0.2179, loss_mask: 0.2194, loss: 0.6665 +2022-09-22 16:15:17,509 - mmdet - INFO - Epoch [16][200/7330] lr: 1.000e-04, eta: 19:25:23, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0312, loss_cls: 0.1614, acc: 94.1545, loss_bbox: 0.2043, loss_mask: 0.2180, loss: 0.6378 +2022-09-22 16:15:39,691 - mmdet - INFO - Epoch [16][250/7330] lr: 1.000e-04, eta: 19:24:59, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0338, loss_cls: 0.1751, acc: 93.7529, loss_bbox: 0.2185, loss_mask: 0.2188, loss: 0.6695 +2022-09-22 16:16:01,810 - mmdet - INFO - Epoch [16][300/7330] lr: 1.000e-04, eta: 19:24:34, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0308, loss_cls: 0.1643, acc: 94.0889, loss_bbox: 0.2068, loss_mask: 0.2123, loss: 0.6368 +2022-09-22 16:16:23,945 - mmdet - INFO - Epoch [16][350/7330] lr: 1.000e-04, eta: 19:24:09, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0318, loss_cls: 0.1656, acc: 93.9475, loss_bbox: 0.2070, loss_mask: 0.2153, loss: 0.6425 +2022-09-22 16:16:45,749 - mmdet - INFO - Epoch [16][400/7330] lr: 1.000e-04, eta: 19:23:44, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0291, loss_cls: 0.1567, acc: 94.2961, loss_bbox: 0.1963, loss_mask: 0.2147, loss: 0.6170 +2022-09-22 16:17:07,410 - mmdet - INFO - Epoch [16][450/7330] lr: 1.000e-04, eta: 19:23:18, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0305, loss_cls: 0.1652, acc: 94.0095, loss_bbox: 0.2044, loss_mask: 0.2140, loss: 0.6365 +2022-09-22 16:17:29,421 - mmdet - INFO - Epoch [16][500/7330] lr: 1.000e-04, eta: 19:22:53, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0319, loss_cls: 0.1639, acc: 94.0977, loss_bbox: 0.2027, loss_mask: 0.2125, loss: 0.6356 +2022-09-22 16:17:51,605 - mmdet - INFO - Epoch [16][550/7330] lr: 1.000e-04, eta: 19:22:29, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0307, loss_cls: 0.1596, acc: 94.0908, loss_bbox: 0.2053, loss_mask: 0.2147, loss: 0.6327 +2022-09-22 16:18:13,689 - mmdet - INFO - Epoch [16][600/7330] lr: 1.000e-04, eta: 19:22:04, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0354, loss_cls: 0.1792, acc: 93.4792, loss_bbox: 0.2236, loss_mask: 0.2267, loss: 0.6905 +2022-09-22 16:18:35,097 - mmdet - INFO - Epoch [16][650/7330] lr: 1.000e-04, eta: 19:21:37, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0319, loss_cls: 0.1687, acc: 93.9236, loss_bbox: 0.2091, loss_mask: 0.2184, loss: 0.6519 +2022-09-22 16:18:56,941 - mmdet - INFO - Epoch [16][700/7330] lr: 1.000e-04, eta: 19:21:12, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0328, loss_cls: 0.1567, acc: 94.2917, loss_bbox: 0.2009, loss_mask: 0.2157, loss: 0.6305 +2022-09-22 16:19:18,651 - mmdet - INFO - Epoch [16][750/7330] lr: 1.000e-04, eta: 19:20:46, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0338, loss_cls: 0.1657, acc: 93.9688, loss_bbox: 0.2064, loss_mask: 0.2226, loss: 0.6528 +2022-09-22 16:19:40,759 - mmdet - INFO - Epoch [16][800/7330] lr: 1.000e-04, eta: 19:20:22, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0342, loss_cls: 0.1711, acc: 93.6279, loss_bbox: 0.2153, loss_mask: 0.2156, loss: 0.6644 +2022-09-22 16:20:03,302 - mmdet - INFO - Epoch [16][850/7330] lr: 1.000e-04, eta: 19:19:58, time: 0.451, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0330, loss_cls: 0.1719, acc: 93.8145, loss_bbox: 0.2170, loss_mask: 0.2233, loss: 0.6696 +2022-09-22 16:20:24,803 - mmdet - INFO - Epoch [16][900/7330] lr: 1.000e-04, eta: 19:19:32, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0317, loss_cls: 0.1595, acc: 94.1970, loss_bbox: 0.2053, loss_mask: 0.2175, loss: 0.6385 +2022-09-22 16:20:46,526 - mmdet - INFO - Epoch [16][950/7330] lr: 1.000e-04, eta: 19:19:06, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0322, loss_cls: 0.1636, acc: 94.1306, loss_bbox: 0.2011, loss_mask: 0.2184, loss: 0.6410 +2022-09-22 16:21:08,066 - mmdet - INFO - Epoch [16][1000/7330] lr: 1.000e-04, eta: 19:18:40, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0302, loss_cls: 0.1596, acc: 94.2229, loss_bbox: 0.1952, loss_mask: 0.2114, loss: 0.6186 +2022-09-22 16:21:29,754 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:21:29,756 - mmdet - INFO - Epoch [16][1050/7330] lr: 1.000e-04, eta: 19:18:14, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0305, loss_cls: 0.1620, acc: 94.1721, loss_bbox: 0.2014, loss_mask: 0.2125, loss: 0.6284 +2022-09-22 16:21:51,750 - mmdet - INFO - Epoch [16][1100/7330] lr: 1.000e-04, eta: 19:17:50, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0329, loss_cls: 0.1672, acc: 93.9458, loss_bbox: 0.2108, loss_mask: 0.2218, loss: 0.6549 +2022-09-22 16:22:13,793 - mmdet - INFO - Epoch [16][1150/7330] lr: 1.000e-04, eta: 19:17:25, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0304, loss_cls: 0.1643, acc: 94.0403, loss_bbox: 0.2061, loss_mask: 0.2175, loss: 0.6409 +2022-09-22 16:22:35,665 - mmdet - INFO - Epoch [16][1200/7330] lr: 1.000e-04, eta: 19:17:00, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0321, loss_cls: 0.1677, acc: 94.0261, loss_bbox: 0.2071, loss_mask: 0.2119, loss: 0.6412 +2022-09-22 16:22:57,544 - mmdet - INFO - Epoch [16][1250/7330] lr: 1.000e-04, eta: 19:16:34, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0315, loss_cls: 0.1740, acc: 93.8320, loss_bbox: 0.2140, loss_mask: 0.2147, loss: 0.6578 +2022-09-22 16:23:19,575 - mmdet - INFO - Epoch [16][1300/7330] lr: 1.000e-04, eta: 19:16:10, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0321, loss_cls: 0.1607, acc: 94.0994, loss_bbox: 0.2066, loss_mask: 0.2139, loss: 0.6357 +2022-09-22 16:23:41,872 - mmdet - INFO - Epoch [16][1350/7330] lr: 1.000e-04, eta: 19:15:46, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0319, loss_cls: 0.1587, acc: 94.1968, loss_bbox: 0.2048, loss_mask: 0.2166, loss: 0.6340 +2022-09-22 16:24:03,966 - mmdet - INFO - Epoch [16][1400/7330] lr: 1.000e-04, eta: 19:15:21, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0291, loss_cls: 0.1620, acc: 94.1741, loss_bbox: 0.2022, loss_mask: 0.2137, loss: 0.6298 +2022-09-22 16:24:25,942 - mmdet - INFO - Epoch [16][1450/7330] lr: 1.000e-04, eta: 19:14:56, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0317, loss_cls: 0.1677, acc: 94.0447, loss_bbox: 0.2056, loss_mask: 0.2177, loss: 0.6449 +2022-09-22 16:24:47,969 - mmdet - INFO - Epoch [16][1500/7330] lr: 1.000e-04, eta: 19:14:32, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0341, loss_cls: 0.1764, acc: 93.5996, loss_bbox: 0.2192, loss_mask: 0.2140, loss: 0.6680 +2022-09-22 16:25:09,384 - mmdet - INFO - Epoch [16][1550/7330] lr: 1.000e-04, eta: 19:14:05, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0306, loss_cls: 0.1604, acc: 94.1040, loss_bbox: 0.2053, loss_mask: 0.2169, loss: 0.6355 +2022-09-22 16:25:31,362 - mmdet - INFO - Epoch [16][1600/7330] lr: 1.000e-04, eta: 19:13:40, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0306, loss_cls: 0.1725, acc: 93.7563, loss_bbox: 0.2157, loss_mask: 0.2186, loss: 0.6588 +2022-09-22 16:25:52,996 - mmdet - INFO - Epoch [16][1650/7330] lr: 1.000e-04, eta: 19:13:14, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0301, loss_cls: 0.1647, acc: 94.0149, loss_bbox: 0.2082, loss_mask: 0.2137, loss: 0.6393 +2022-09-22 16:26:14,870 - mmdet - INFO - Epoch [16][1700/7330] lr: 1.000e-04, eta: 19:12:49, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0300, loss_cls: 0.1686, acc: 93.8816, loss_bbox: 0.2092, loss_mask: 0.2162, loss: 0.6454 +2022-09-22 16:26:37,260 - mmdet - INFO - Epoch [16][1750/7330] lr: 1.000e-04, eta: 19:12:25, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0347, loss_cls: 0.1784, acc: 93.5481, loss_bbox: 0.2193, loss_mask: 0.2227, loss: 0.6802 +2022-09-22 16:26:59,154 - mmdet - INFO - Epoch [16][1800/7330] lr: 1.000e-04, eta: 19:12:00, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0314, loss_cls: 0.1599, acc: 94.0518, loss_bbox: 0.2026, loss_mask: 0.2120, loss: 0.6273 +2022-09-22 16:27:21,745 - mmdet - INFO - Epoch [16][1850/7330] lr: 1.000e-04, eta: 19:11:37, time: 0.452, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0330, loss_cls: 0.1724, acc: 93.6919, loss_bbox: 0.2117, loss_mask: 0.2218, loss: 0.6623 +2022-09-22 16:27:43,360 - mmdet - INFO - Epoch [16][1900/7330] lr: 1.000e-04, eta: 19:11:11, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0317, loss_cls: 0.1598, acc: 94.0366, loss_bbox: 0.2091, loss_mask: 0.2159, loss: 0.6389 +2022-09-22 16:28:05,274 - mmdet - INFO - Epoch [16][1950/7330] lr: 1.000e-04, eta: 19:10:46, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0316, loss_cls: 0.1651, acc: 93.9988, loss_bbox: 0.2082, loss_mask: 0.2129, loss: 0.6393 +2022-09-22 16:28:27,079 - mmdet - INFO - Epoch [16][2000/7330] lr: 1.000e-04, eta: 19:10:21, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0306, loss_cls: 0.1628, acc: 94.1169, loss_bbox: 0.2018, loss_mask: 0.2145, loss: 0.6315 +2022-09-22 16:28:48,844 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:28:48,847 - mmdet - INFO - Epoch [16][2050/7330] lr: 1.000e-04, eta: 19:09:56, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0329, loss_cls: 0.1682, acc: 93.9177, loss_bbox: 0.2055, loss_mask: 0.2174, loss: 0.6490 +2022-09-22 16:29:10,606 - mmdet - INFO - Epoch [16][2100/7330] lr: 1.000e-04, eta: 19:09:30, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0330, loss_cls: 0.1652, acc: 93.9819, loss_bbox: 0.2087, loss_mask: 0.2173, loss: 0.6475 +2022-09-22 16:29:32,025 - mmdet - INFO - Epoch [16][2150/7330] lr: 1.000e-04, eta: 19:09:04, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0286, loss_cls: 0.1608, acc: 94.2021, loss_bbox: 0.2042, loss_mask: 0.2168, loss: 0.6331 +2022-09-22 16:29:53,511 - mmdet - INFO - Epoch [16][2200/7330] lr: 1.000e-04, eta: 19:08:38, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0326, loss_cls: 0.1693, acc: 93.7957, loss_bbox: 0.2148, loss_mask: 0.2239, loss: 0.6650 +2022-09-22 16:30:15,485 - mmdet - INFO - Epoch [16][2250/7330] lr: 1.000e-04, eta: 19:08:13, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0312, loss_cls: 0.1611, acc: 94.0408, loss_bbox: 0.2091, loss_mask: 0.2211, loss: 0.6451 +2022-09-22 16:30:37,180 - mmdet - INFO - Epoch [16][2300/7330] lr: 1.000e-04, eta: 19:07:47, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0309, loss_cls: 0.1631, acc: 93.9092, loss_bbox: 0.2075, loss_mask: 0.2140, loss: 0.6366 +2022-09-22 16:31:00,092 - mmdet - INFO - Epoch [16][2350/7330] lr: 1.000e-04, eta: 19:07:25, time: 0.458, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0323, loss_cls: 0.1674, acc: 93.9539, loss_bbox: 0.2138, loss_mask: 0.2167, loss: 0.6522 +2022-09-22 16:31:22,122 - mmdet - INFO - Epoch [16][2400/7330] lr: 1.000e-04, eta: 19:07:01, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0312, loss_cls: 0.1678, acc: 93.9233, loss_bbox: 0.2084, loss_mask: 0.2187, loss: 0.6489 +2022-09-22 16:31:43,726 - mmdet - INFO - Epoch [16][2450/7330] lr: 1.000e-04, eta: 19:06:35, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0318, loss_cls: 0.1683, acc: 93.8508, loss_bbox: 0.2098, loss_mask: 0.2214, loss: 0.6557 +2022-09-22 16:32:05,543 - mmdet - INFO - Epoch [16][2500/7330] lr: 1.000e-04, eta: 19:06:09, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0321, loss_cls: 0.1643, acc: 94.0310, loss_bbox: 0.2098, loss_mask: 0.2169, loss: 0.6464 +2022-09-22 16:32:26,989 - mmdet - INFO - Epoch [16][2550/7330] lr: 1.000e-04, eta: 19:05:43, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0320, loss_cls: 0.1677, acc: 93.8799, loss_bbox: 0.2135, loss_mask: 0.2176, loss: 0.6537 +2022-09-22 16:32:48,617 - mmdet - INFO - Epoch [16][2600/7330] lr: 1.000e-04, eta: 19:05:18, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0313, loss_cls: 0.1664, acc: 93.9185, loss_bbox: 0.2150, loss_mask: 0.2165, loss: 0.6503 +2022-09-22 16:33:10,266 - mmdet - INFO - Epoch [16][2650/7330] lr: 1.000e-04, eta: 19:04:52, time: 0.433, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0320, loss_cls: 0.1678, acc: 94.0051, loss_bbox: 0.2074, loss_mask: 0.2222, loss: 0.6524 +2022-09-22 16:33:32,161 - mmdet - INFO - Epoch [16][2700/7330] lr: 1.000e-04, eta: 19:04:27, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0324, loss_cls: 0.1703, acc: 93.8259, loss_bbox: 0.2157, loss_mask: 0.2186, loss: 0.6604 +2022-09-22 16:33:53,833 - mmdet - INFO - Epoch [16][2750/7330] lr: 1.000e-04, eta: 19:04:01, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0338, loss_cls: 0.1712, acc: 93.7673, loss_bbox: 0.2158, loss_mask: 0.2208, loss: 0.6649 +2022-09-22 16:34:15,997 - mmdet - INFO - Epoch [16][2800/7330] lr: 1.000e-04, eta: 19:03:37, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0303, loss_cls: 0.1639, acc: 94.1208, loss_bbox: 0.2061, loss_mask: 0.2128, loss: 0.6361 +2022-09-22 16:34:38,310 - mmdet - INFO - Epoch [16][2850/7330] lr: 1.000e-04, eta: 19:03:13, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0325, loss_cls: 0.1751, acc: 93.6140, loss_bbox: 0.2217, loss_mask: 0.2221, loss: 0.6744 +2022-09-22 16:34:59,814 - mmdet - INFO - Epoch [16][2900/7330] lr: 1.000e-04, eta: 19:02:47, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0321, loss_cls: 0.1606, acc: 94.1099, loss_bbox: 0.2018, loss_mask: 0.2155, loss: 0.6326 +2022-09-22 16:35:21,740 - mmdet - INFO - Epoch [16][2950/7330] lr: 1.000e-04, eta: 19:02:22, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0317, loss_cls: 0.1681, acc: 93.9529, loss_bbox: 0.2048, loss_mask: 0.2181, loss: 0.6457 +2022-09-22 16:35:44,024 - mmdet - INFO - Epoch [16][3000/7330] lr: 1.000e-04, eta: 19:01:59, time: 0.446, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0342, loss_cls: 0.1637, acc: 93.9785, loss_bbox: 0.2074, loss_mask: 0.2238, loss: 0.6531 +2022-09-22 16:36:05,832 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:36:05,838 - mmdet - INFO - Epoch [16][3050/7330] lr: 1.000e-04, eta: 19:01:33, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0324, loss_cls: 0.1714, acc: 93.8711, loss_bbox: 0.2137, loss_mask: 0.2172, loss: 0.6574 +2022-09-22 16:36:28,695 - mmdet - INFO - Epoch [16][3100/7330] lr: 1.000e-04, eta: 19:01:11, time: 0.457, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0345, loss_cls: 0.1744, acc: 93.6909, loss_bbox: 0.2149, loss_mask: 0.2167, loss: 0.6642 +2022-09-22 16:36:50,385 - mmdet - INFO - Epoch [16][3150/7330] lr: 1.000e-04, eta: 19:00:46, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0320, loss_cls: 0.1571, acc: 94.2236, loss_bbox: 0.1997, loss_mask: 0.2154, loss: 0.6265 +2022-09-22 16:37:11,902 - mmdet - INFO - Epoch [16][3200/7330] lr: 1.000e-04, eta: 19:00:20, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0311, loss_cls: 0.1649, acc: 94.0154, loss_bbox: 0.2084, loss_mask: 0.2178, loss: 0.6449 +2022-09-22 16:37:33,185 - mmdet - INFO - Epoch [16][3250/7330] lr: 1.000e-04, eta: 18:59:53, time: 0.426, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0321, loss_cls: 0.1641, acc: 94.0745, loss_bbox: 0.2093, loss_mask: 0.2223, loss: 0.6522 +2022-09-22 16:37:54,990 - mmdet - INFO - Epoch [16][3300/7330] lr: 1.000e-04, eta: 18:59:28, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0305, loss_cls: 0.1674, acc: 94.0112, loss_bbox: 0.2093, loss_mask: 0.2186, loss: 0.6476 +2022-09-22 16:38:16,363 - mmdet - INFO - Epoch [16][3350/7330] lr: 1.000e-04, eta: 18:59:02, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0336, loss_cls: 0.1728, acc: 93.7305, loss_bbox: 0.2141, loss_mask: 0.2233, loss: 0.6679 +2022-09-22 16:38:37,960 - mmdet - INFO - Epoch [16][3400/7330] lr: 1.000e-04, eta: 18:58:36, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0329, loss_cls: 0.1696, acc: 93.7944, loss_bbox: 0.2087, loss_mask: 0.2192, loss: 0.6546 +2022-09-22 16:38:59,533 - mmdet - INFO - Epoch [16][3450/7330] lr: 1.000e-04, eta: 18:58:10, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0316, loss_cls: 0.1635, acc: 93.9412, loss_bbox: 0.2046, loss_mask: 0.2195, loss: 0.6439 +2022-09-22 16:39:21,058 - mmdet - INFO - Epoch [16][3500/7330] lr: 1.000e-04, eta: 18:57:44, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0315, loss_cls: 0.1690, acc: 93.9136, loss_bbox: 0.2101, loss_mask: 0.2166, loss: 0.6506 +2022-09-22 16:39:43,239 - mmdet - INFO - Epoch [16][3550/7330] lr: 1.000e-04, eta: 18:57:20, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0318, loss_cls: 0.1691, acc: 93.7991, loss_bbox: 0.2112, loss_mask: 0.2190, loss: 0.6549 +2022-09-22 16:40:04,924 - mmdet - INFO - Epoch [16][3600/7330] lr: 1.000e-04, eta: 18:56:55, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0325, loss_cls: 0.1702, acc: 93.8684, loss_bbox: 0.2126, loss_mask: 0.2163, loss: 0.6568 +2022-09-22 16:40:26,908 - mmdet - INFO - Epoch [16][3650/7330] lr: 1.000e-04, eta: 18:56:30, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0328, loss_cls: 0.1682, acc: 93.9143, loss_bbox: 0.2116, loss_mask: 0.2189, loss: 0.6555 +2022-09-22 16:40:48,578 - mmdet - INFO - Epoch [16][3700/7330] lr: 1.000e-04, eta: 18:56:05, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0340, loss_cls: 0.1735, acc: 93.6833, loss_bbox: 0.2150, loss_mask: 0.2226, loss: 0.6673 +2022-09-22 16:41:10,197 - mmdet - INFO - Epoch [16][3750/7330] lr: 1.000e-04, eta: 18:55:39, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0317, loss_cls: 0.1707, acc: 93.8000, loss_bbox: 0.2081, loss_mask: 0.2177, loss: 0.6510 +2022-09-22 16:41:31,955 - mmdet - INFO - Epoch [16][3800/7330] lr: 1.000e-04, eta: 18:55:14, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0323, loss_cls: 0.1666, acc: 94.0544, loss_bbox: 0.2064, loss_mask: 0.2158, loss: 0.6449 +2022-09-22 16:41:53,697 - mmdet - INFO - Epoch [16][3850/7330] lr: 1.000e-04, eta: 18:54:49, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0319, loss_cls: 0.1730, acc: 93.7219, loss_bbox: 0.2130, loss_mask: 0.2221, loss: 0.6638 +2022-09-22 16:42:15,430 - mmdet - INFO - Epoch [16][3900/7330] lr: 1.000e-04, eta: 18:54:23, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0310, loss_cls: 0.1674, acc: 93.8982, loss_bbox: 0.2128, loss_mask: 0.2215, loss: 0.6543 +2022-09-22 16:42:37,352 - mmdet - INFO - Epoch [16][3950/7330] lr: 1.000e-04, eta: 18:53:58, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0327, loss_cls: 0.1698, acc: 93.9458, loss_bbox: 0.2053, loss_mask: 0.2200, loss: 0.6548 +2022-09-22 16:42:59,286 - mmdet - INFO - Epoch [16][4000/7330] lr: 1.000e-04, eta: 18:53:34, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0317, loss_cls: 0.1629, acc: 94.1001, loss_bbox: 0.2048, loss_mask: 0.2110, loss: 0.6331 +2022-09-22 16:43:21,651 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:43:21,652 - mmdet - INFO - Epoch [16][4050/7330] lr: 1.000e-04, eta: 18:53:10, time: 0.447, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0321, loss_cls: 0.1671, acc: 93.9436, loss_bbox: 0.2099, loss_mask: 0.2212, loss: 0.6551 +2022-09-22 16:43:43,259 - mmdet - INFO - Epoch [16][4100/7330] lr: 1.000e-04, eta: 18:52:45, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0313, loss_cls: 0.1551, acc: 94.5371, loss_bbox: 0.1907, loss_mask: 0.2165, loss: 0.6158 +2022-09-22 16:44:04,927 - mmdet - INFO - Epoch [16][4150/7330] lr: 1.000e-04, eta: 18:52:19, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0306, loss_cls: 0.1667, acc: 93.9470, loss_bbox: 0.2082, loss_mask: 0.2241, loss: 0.6525 +2022-09-22 16:44:26,759 - mmdet - INFO - Epoch [16][4200/7330] lr: 1.000e-04, eta: 18:51:54, time: 0.437, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0307, loss_cls: 0.1693, acc: 93.8691, loss_bbox: 0.2085, loss_mask: 0.2177, loss: 0.6483 +2022-09-22 16:44:48,399 - mmdet - INFO - Epoch [16][4250/7330] lr: 1.000e-04, eta: 18:51:29, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0336, loss_cls: 0.1690, acc: 93.9302, loss_bbox: 0.2126, loss_mask: 0.2147, loss: 0.6553 +2022-09-22 16:45:10,290 - mmdet - INFO - Epoch [16][4300/7330] lr: 1.000e-04, eta: 18:51:04, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0321, loss_cls: 0.1674, acc: 93.9612, loss_bbox: 0.2077, loss_mask: 0.2172, loss: 0.6466 +2022-09-22 16:45:32,320 - mmdet - INFO - Epoch [16][4350/7330] lr: 1.000e-04, eta: 18:50:40, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0353, loss_cls: 0.1746, acc: 93.6624, loss_bbox: 0.2183, loss_mask: 0.2232, loss: 0.6772 +2022-09-22 16:45:54,317 - mmdet - INFO - Epoch [16][4400/7330] lr: 1.000e-04, eta: 18:50:15, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0335, loss_cls: 0.1781, acc: 93.5146, loss_bbox: 0.2234, loss_mask: 0.2242, loss: 0.6826 +2022-09-22 16:46:16,326 - mmdet - INFO - Epoch [16][4450/7330] lr: 1.000e-04, eta: 18:49:51, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0332, loss_cls: 0.1620, acc: 94.1545, loss_bbox: 0.2030, loss_mask: 0.2175, loss: 0.6422 +2022-09-22 16:46:38,194 - mmdet - INFO - Epoch [16][4500/7330] lr: 1.000e-04, eta: 18:49:26, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0318, loss_cls: 0.1674, acc: 93.8298, loss_bbox: 0.2110, loss_mask: 0.2206, loss: 0.6538 +2022-09-22 16:46:59,792 - mmdet - INFO - Epoch [16][4550/7330] lr: 1.000e-04, eta: 18:49:00, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0326, loss_cls: 0.1777, acc: 93.4741, loss_bbox: 0.2212, loss_mask: 0.2202, loss: 0.6756 +2022-09-22 16:47:21,173 - mmdet - INFO - Epoch [16][4600/7330] lr: 1.000e-04, eta: 18:48:34, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0327, loss_cls: 0.1708, acc: 93.8376, loss_bbox: 0.2074, loss_mask: 0.2165, loss: 0.6514 +2022-09-22 16:47:43,082 - mmdet - INFO - Epoch [16][4650/7330] lr: 1.000e-04, eta: 18:48:09, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0331, loss_cls: 0.1744, acc: 93.6133, loss_bbox: 0.2164, loss_mask: 0.2200, loss: 0.6671 +2022-09-22 16:48:05,242 - mmdet - INFO - Epoch [16][4700/7330] lr: 1.000e-04, eta: 18:47:45, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0327, loss_cls: 0.1757, acc: 93.6633, loss_bbox: 0.2098, loss_mask: 0.2176, loss: 0.6611 +2022-09-22 16:48:26,954 - mmdet - INFO - Epoch [16][4750/7330] lr: 1.000e-04, eta: 18:47:20, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0331, loss_cls: 0.1699, acc: 93.7961, loss_bbox: 0.2175, loss_mask: 0.2184, loss: 0.6606 +2022-09-22 16:48:49,010 - mmdet - INFO - Epoch [16][4800/7330] lr: 1.000e-04, eta: 18:46:56, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0331, loss_cls: 0.1695, acc: 93.8301, loss_bbox: 0.2155, loss_mask: 0.2181, loss: 0.6596 +2022-09-22 16:49:11,212 - mmdet - INFO - Epoch [16][4850/7330] lr: 1.000e-04, eta: 18:46:32, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0320, loss_cls: 0.1688, acc: 93.8940, loss_bbox: 0.2105, loss_mask: 0.2184, loss: 0.6531 +2022-09-22 16:49:33,104 - mmdet - INFO - Epoch [16][4900/7330] lr: 1.000e-04, eta: 18:46:07, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0342, loss_cls: 0.1710, acc: 93.9089, loss_bbox: 0.2148, loss_mask: 0.2207, loss: 0.6651 +2022-09-22 16:49:55,077 - mmdet - INFO - Epoch [16][4950/7330] lr: 1.000e-04, eta: 18:45:43, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0323, loss_cls: 0.1687, acc: 93.9019, loss_bbox: 0.2110, loss_mask: 0.2185, loss: 0.6559 +2022-09-22 16:50:16,551 - mmdet - INFO - Epoch [16][5000/7330] lr: 1.000e-04, eta: 18:45:17, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0312, loss_cls: 0.1597, acc: 94.1882, loss_bbox: 0.2018, loss_mask: 0.2213, loss: 0.6373 +2022-09-22 16:50:38,192 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:50:38,199 - mmdet - INFO - Epoch [16][5050/7330] lr: 1.000e-04, eta: 18:44:51, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0334, loss_cls: 0.1590, acc: 94.3032, loss_bbox: 0.2007, loss_mask: 0.2162, loss: 0.6350 +2022-09-22 16:51:00,026 - mmdet - INFO - Epoch [16][5100/7330] lr: 1.000e-04, eta: 18:44:27, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0382, loss_cls: 0.1839, acc: 93.6418, loss_bbox: 0.2347, loss_mask: 0.2325, loss: 0.7266 +2022-09-22 16:51:21,680 - mmdet - INFO - Epoch [16][5150/7330] lr: 1.000e-04, eta: 18:44:01, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0345, loss_cls: 0.1791, acc: 93.5354, loss_bbox: 0.2191, loss_mask: 0.2235, loss: 0.6806 +2022-09-22 16:51:43,619 - mmdet - INFO - Epoch [16][5200/7330] lr: 1.000e-04, eta: 18:43:37, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0338, loss_cls: 0.1745, acc: 93.6914, loss_bbox: 0.2222, loss_mask: 0.2188, loss: 0.6735 +2022-09-22 16:52:05,493 - mmdet - INFO - Epoch [16][5250/7330] lr: 1.000e-04, eta: 18:43:12, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0342, loss_cls: 0.1759, acc: 93.6306, loss_bbox: 0.2167, loss_mask: 0.2213, loss: 0.6716 +2022-09-22 16:52:26,522 - mmdet - INFO - Epoch [16][5300/7330] lr: 1.000e-04, eta: 18:42:45, time: 0.421, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0311, loss_cls: 0.1624, acc: 94.0806, loss_bbox: 0.2036, loss_mask: 0.2160, loss: 0.6340 +2022-09-22 16:52:48,393 - mmdet - INFO - Epoch [16][5350/7330] lr: 1.000e-04, eta: 18:42:20, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0343, loss_cls: 0.1725, acc: 93.8718, loss_bbox: 0.2126, loss_mask: 0.2269, loss: 0.6702 +2022-09-22 16:53:09,712 - mmdet - INFO - Epoch [16][5400/7330] lr: 1.000e-04, eta: 18:41:54, time: 0.426, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0331, loss_cls: 0.1677, acc: 93.9424, loss_bbox: 0.2094, loss_mask: 0.2171, loss: 0.6522 +2022-09-22 16:53:31,507 - mmdet - INFO - Epoch [16][5450/7330] lr: 1.000e-04, eta: 18:41:29, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0329, loss_cls: 0.1747, acc: 93.7158, loss_bbox: 0.2098, loss_mask: 0.2218, loss: 0.6637 +2022-09-22 16:53:53,026 - mmdet - INFO - Epoch [16][5500/7330] lr: 1.000e-04, eta: 18:41:04, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0310, loss_cls: 0.1671, acc: 94.0034, loss_bbox: 0.2036, loss_mask: 0.2194, loss: 0.6433 +2022-09-22 16:54:14,738 - mmdet - INFO - Epoch [16][5550/7330] lr: 1.000e-04, eta: 18:40:38, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0327, loss_cls: 0.1735, acc: 93.7883, loss_bbox: 0.2143, loss_mask: 0.2240, loss: 0.6671 +2022-09-22 16:54:36,405 - mmdet - INFO - Epoch [16][5600/7330] lr: 1.000e-04, eta: 18:40:13, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0325, loss_cls: 0.1727, acc: 93.6851, loss_bbox: 0.2169, loss_mask: 0.2207, loss: 0.6672 +2022-09-22 16:54:58,260 - mmdet - INFO - Epoch [16][5650/7330] lr: 1.000e-04, eta: 18:39:48, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0326, loss_cls: 0.1660, acc: 93.9438, loss_bbox: 0.2070, loss_mask: 0.2179, loss: 0.6466 +2022-09-22 16:55:19,591 - mmdet - INFO - Epoch [16][5700/7330] lr: 1.000e-04, eta: 18:39:22, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0320, loss_cls: 0.1669, acc: 93.9631, loss_bbox: 0.2067, loss_mask: 0.2197, loss: 0.6504 +2022-09-22 16:55:41,297 - mmdet - INFO - Epoch [16][5750/7330] lr: 1.000e-04, eta: 18:38:57, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0338, loss_cls: 0.1701, acc: 93.8945, loss_bbox: 0.2066, loss_mask: 0.2209, loss: 0.6560 +2022-09-22 16:56:03,177 - mmdet - INFO - Epoch [16][5800/7330] lr: 1.000e-04, eta: 18:38:32, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0333, loss_cls: 0.1696, acc: 93.7598, loss_bbox: 0.2177, loss_mask: 0.2231, loss: 0.6679 +2022-09-22 16:56:25,210 - mmdet - INFO - Epoch [16][5850/7330] lr: 1.000e-04, eta: 18:38:08, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0328, loss_cls: 0.1720, acc: 93.7310, loss_bbox: 0.2145, loss_mask: 0.2190, loss: 0.6614 +2022-09-22 16:56:47,092 - mmdet - INFO - Epoch [16][5900/7330] lr: 1.000e-04, eta: 18:37:44, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0305, loss_cls: 0.1692, acc: 93.9026, loss_bbox: 0.2096, loss_mask: 0.2206, loss: 0.6526 +2022-09-22 16:57:08,615 - mmdet - INFO - Epoch [16][5950/7330] lr: 1.000e-04, eta: 18:37:18, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0335, loss_cls: 0.1792, acc: 93.6531, loss_bbox: 0.2159, loss_mask: 0.2267, loss: 0.6796 +2022-09-22 16:57:30,391 - mmdet - INFO - Epoch [16][6000/7330] lr: 1.000e-04, eta: 18:36:53, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0293, loss_cls: 0.1636, acc: 94.0271, loss_bbox: 0.2071, loss_mask: 0.2107, loss: 0.6337 +2022-09-22 16:57:52,155 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 16:57:52,155 - mmdet - INFO - Epoch [16][6050/7330] lr: 1.000e-04, eta: 18:36:28, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0317, loss_cls: 0.1620, acc: 94.0947, loss_bbox: 0.2050, loss_mask: 0.2133, loss: 0.6364 +2022-09-22 16:58:13,886 - mmdet - INFO - Epoch [16][6100/7330] lr: 1.000e-04, eta: 18:36:03, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0298, loss_cls: 0.1617, acc: 94.1504, loss_bbox: 0.2044, loss_mask: 0.2199, loss: 0.6385 +2022-09-22 16:58:35,381 - mmdet - INFO - Epoch [16][6150/7330] lr: 1.000e-04, eta: 18:35:38, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0326, loss_cls: 0.1698, acc: 93.7883, loss_bbox: 0.2113, loss_mask: 0.2210, loss: 0.6591 +2022-09-22 16:58:57,389 - mmdet - INFO - Epoch [16][6200/7330] lr: 1.000e-04, eta: 18:35:13, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0320, loss_cls: 0.1682, acc: 93.8757, loss_bbox: 0.2093, loss_mask: 0.2209, loss: 0.6527 +2022-09-22 16:59:18,896 - mmdet - INFO - Epoch [16][6250/7330] lr: 1.000e-04, eta: 18:34:48, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0362, loss_cls: 0.1763, acc: 93.5115, loss_bbox: 0.2204, loss_mask: 0.2280, loss: 0.6865 +2022-09-22 16:59:40,759 - mmdet - INFO - Epoch [16][6300/7330] lr: 1.000e-04, eta: 18:34:23, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0333, loss_cls: 0.1641, acc: 93.9944, loss_bbox: 0.2030, loss_mask: 0.2140, loss: 0.6390 +2022-09-22 17:00:02,237 - mmdet - INFO - Epoch [16][6350/7330] lr: 1.000e-04, eta: 18:33:57, time: 0.430, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0312, loss_cls: 0.1723, acc: 93.7517, loss_bbox: 0.2093, loss_mask: 0.2199, loss: 0.6563 +2022-09-22 17:00:23,900 - mmdet - INFO - Epoch [16][6400/7330] lr: 1.000e-04, eta: 18:33:32, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0345, loss_cls: 0.1777, acc: 93.4521, loss_bbox: 0.2186, loss_mask: 0.2182, loss: 0.6725 +2022-09-22 17:00:45,700 - mmdet - INFO - Epoch [16][6450/7330] lr: 1.000e-04, eta: 18:33:07, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0317, loss_cls: 0.1720, acc: 93.8855, loss_bbox: 0.2055, loss_mask: 0.2202, loss: 0.6526 +2022-09-22 17:01:07,554 - mmdet - INFO - Epoch [16][6500/7330] lr: 1.000e-04, eta: 18:32:43, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0320, loss_cls: 0.1651, acc: 94.0264, loss_bbox: 0.2050, loss_mask: 0.2199, loss: 0.6461 +2022-09-22 17:01:29,360 - mmdet - INFO - Epoch [16][6550/7330] lr: 1.000e-04, eta: 18:32:18, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0338, loss_cls: 0.1675, acc: 94.0549, loss_bbox: 0.2090, loss_mask: 0.2195, loss: 0.6540 +2022-09-22 17:01:51,235 - mmdet - INFO - Epoch [16][6600/7330] lr: 1.000e-04, eta: 18:31:53, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0344, loss_cls: 0.1789, acc: 93.4451, loss_bbox: 0.2228, loss_mask: 0.2240, loss: 0.6844 +2022-09-22 17:02:12,749 - mmdet - INFO - Epoch [16][6650/7330] lr: 1.000e-04, eta: 18:31:28, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0327, loss_cls: 0.1674, acc: 93.9990, loss_bbox: 0.2108, loss_mask: 0.2175, loss: 0.6512 +2022-09-22 17:02:34,175 - mmdet - INFO - Epoch [16][6700/7330] lr: 1.000e-04, eta: 18:31:02, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0315, loss_cls: 0.1650, acc: 94.0696, loss_bbox: 0.2091, loss_mask: 0.2185, loss: 0.6470 +2022-09-22 17:02:55,652 - mmdet - INFO - Epoch [16][6750/7330] lr: 1.000e-04, eta: 18:30:37, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0309, loss_cls: 0.1628, acc: 94.1143, loss_bbox: 0.2027, loss_mask: 0.2127, loss: 0.6309 +2022-09-22 17:03:17,371 - mmdet - INFO - Epoch [16][6800/7330] lr: 1.000e-04, eta: 18:30:12, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0325, loss_cls: 0.1727, acc: 93.7471, loss_bbox: 0.2122, loss_mask: 0.2178, loss: 0.6595 +2022-09-22 17:03:38,905 - mmdet - INFO - Epoch [16][6850/7330] lr: 1.000e-04, eta: 18:29:46, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0336, loss_cls: 0.1721, acc: 93.7241, loss_bbox: 0.2189, loss_mask: 0.2212, loss: 0.6713 +2022-09-22 17:04:00,634 - mmdet - INFO - Epoch [16][6900/7330] lr: 1.000e-04, eta: 18:29:21, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0324, loss_cls: 0.1652, acc: 94.0461, loss_bbox: 0.2072, loss_mask: 0.2173, loss: 0.6462 +2022-09-22 17:04:22,243 - mmdet - INFO - Epoch [16][6950/7330] lr: 1.000e-04, eta: 18:28:56, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0317, loss_cls: 0.1683, acc: 93.8596, loss_bbox: 0.2131, loss_mask: 0.2217, loss: 0.6595 +2022-09-22 17:04:43,668 - mmdet - INFO - Epoch [16][7000/7330] lr: 1.000e-04, eta: 18:28:30, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0320, loss_cls: 0.1660, acc: 93.8987, loss_bbox: 0.2088, loss_mask: 0.2152, loss: 0.6455 +2022-09-22 17:05:05,267 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 17:05:05,271 - mmdet - INFO - Epoch [16][7050/7330] lr: 1.000e-04, eta: 18:28:05, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0315, loss_cls: 0.1642, acc: 94.2385, loss_bbox: 0.2022, loss_mask: 0.2148, loss: 0.6389 +2022-09-22 17:05:26,764 - mmdet - INFO - Epoch [16][7100/7330] lr: 1.000e-04, eta: 18:27:40, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0317, loss_cls: 0.1637, acc: 94.1047, loss_bbox: 0.2053, loss_mask: 0.2216, loss: 0.6449 +2022-09-22 17:05:48,832 - mmdet - INFO - Epoch [16][7150/7330] lr: 1.000e-04, eta: 18:27:16, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0317, loss_cls: 0.1669, acc: 93.9141, loss_bbox: 0.2076, loss_mask: 0.2179, loss: 0.6464 +2022-09-22 17:06:10,542 - mmdet - INFO - Epoch [16][7200/7330] lr: 1.000e-04, eta: 18:26:51, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0340, loss_cls: 0.1788, acc: 93.6182, loss_bbox: 0.2187, loss_mask: 0.2238, loss: 0.6818 +2022-09-22 17:06:32,356 - mmdet - INFO - Epoch [16][7250/7330] lr: 1.000e-04, eta: 18:26:26, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0310, loss_cls: 0.1661, acc: 93.8931, loss_bbox: 0.2048, loss_mask: 0.2177, loss: 0.6423 +2022-09-22 17:06:54,286 - mmdet - INFO - Epoch [16][7300/7330] lr: 1.000e-04, eta: 18:26:02, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0311, loss_cls: 0.1593, acc: 94.3281, loss_bbox: 0.1989, loss_mask: 0.2137, loss: 0.6252 +2022-09-22 17:07:17,402 - mmdet - INFO - Saving checkpoint at 16 epochs +2022-09-22 17:09:24,153 - mmdet - INFO - Evaluating bbox... +2022-09-22 17:09:51,869 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.484 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.710 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.533 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.330 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.522 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.620 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.614 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.614 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.614 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.451 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.652 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.754 + +2022-09-22 17:09:51,869 - mmdet - INFO - Evaluating segm... +2022-09-22 17:10:23,315 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.433 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.679 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.466 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.246 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.469 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.624 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.385 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.595 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.713 + +2022-09-22 17:10:24,000 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 17:10:24,001 - mmdet - INFO - Epoch(val) [16][625] bbox_mAP: 0.4840, bbox_mAP_50: 0.7100, bbox_mAP_75: 0.5330, bbox_mAP_s: 0.3300, bbox_mAP_m: 0.5220, bbox_mAP_l: 0.6200, bbox_mAP_copypaste: 0.484 0.710 0.533 0.330 0.522 0.620, segm_mAP: 0.4330, segm_mAP_50: 0.6790, segm_mAP_75: 0.4660, segm_mAP_s: 0.2460, segm_mAP_m: 0.4690, segm_mAP_l: 0.6240, segm_mAP_copypaste: 0.433 0.679 0.466 0.246 0.469 0.624 +2022-09-22 17:11:42,655 - mmdet - INFO - Epoch [17][50/7330] lr: 1.000e-04, eta: 18:27:11, time: 1.573, data_time: 1.124, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0300, loss_cls: 0.1615, acc: 94.0237, loss_bbox: 0.2053, loss_mask: 0.2116, loss: 0.6288 +2022-09-22 17:12:04,858 - mmdet - INFO - Epoch [17][100/7330] lr: 1.000e-04, eta: 18:26:48, time: 0.444, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0317, loss_cls: 0.1625, acc: 94.0625, loss_bbox: 0.2064, loss_mask: 0.2152, loss: 0.6383 +2022-09-22 17:12:27,446 - mmdet - INFO - Epoch [17][150/7330] lr: 1.000e-04, eta: 18:26:25, time: 0.452, data_time: 0.025, memory: 30693, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0338, loss_cls: 0.1730, acc: 93.7673, loss_bbox: 0.2169, loss_mask: 0.2147, loss: 0.6650 +2022-09-22 17:12:49,304 - mmdet - INFO - Epoch [17][200/7330] lr: 1.000e-04, eta: 18:26:00, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0314, loss_cls: 0.1635, acc: 94.0579, loss_bbox: 0.2083, loss_mask: 0.2180, loss: 0.6436 +2022-09-22 17:13:11,122 - mmdet - INFO - Epoch [17][250/7330] lr: 1.000e-04, eta: 18:25:35, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0305, loss_cls: 0.1615, acc: 94.1160, loss_bbox: 0.2025, loss_mask: 0.2148, loss: 0.6311 +2022-09-22 17:13:33,205 - mmdet - INFO - Epoch [17][300/7330] lr: 1.000e-04, eta: 18:25:11, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0343, loss_cls: 0.1685, acc: 93.8081, loss_bbox: 0.2166, loss_mask: 0.2222, loss: 0.6655 +2022-09-22 17:13:55,036 - mmdet - INFO - Epoch [17][350/7330] lr: 1.000e-04, eta: 18:24:46, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0305, loss_cls: 0.1575, acc: 94.3806, loss_bbox: 0.1958, loss_mask: 0.2094, loss: 0.6164 +2022-09-22 17:14:16,988 - mmdet - INFO - Epoch [17][400/7330] lr: 1.000e-04, eta: 18:24:22, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0313, loss_cls: 0.1610, acc: 94.2563, loss_bbox: 0.2020, loss_mask: 0.2170, loss: 0.6350 +2022-09-22 17:14:38,789 - mmdet - INFO - Epoch [17][450/7330] lr: 1.000e-04, eta: 18:23:57, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0340, loss_cls: 0.1662, acc: 93.8987, loss_bbox: 0.2100, loss_mask: 0.2217, loss: 0.6546 +2022-09-22 17:15:00,770 - mmdet - INFO - Epoch [17][500/7330] lr: 1.000e-04, eta: 18:23:33, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0316, loss_cls: 0.1687, acc: 93.8030, loss_bbox: 0.2124, loss_mask: 0.2166, loss: 0.6503 +2022-09-22 17:15:22,637 - mmdet - INFO - Epoch [17][550/7330] lr: 1.000e-04, eta: 18:23:08, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0341, loss_cls: 0.1669, acc: 93.8552, loss_bbox: 0.2098, loss_mask: 0.2217, loss: 0.6576 +2022-09-22 17:15:44,610 - mmdet - INFO - Epoch [17][600/7330] lr: 1.000e-04, eta: 18:22:44, time: 0.440, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0337, loss_cls: 0.1669, acc: 93.9856, loss_bbox: 0.2109, loss_mask: 0.2165, loss: 0.6520 +2022-09-22 17:16:06,413 - mmdet - INFO - Epoch [17][650/7330] lr: 1.000e-04, eta: 18:22:19, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0295, loss_cls: 0.1639, acc: 94.0227, loss_bbox: 0.2085, loss_mask: 0.2162, loss: 0.6390 +2022-09-22 17:16:27,892 - mmdet - INFO - Epoch [17][700/7330] lr: 1.000e-04, eta: 18:21:54, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0326, loss_cls: 0.1687, acc: 93.9634, loss_bbox: 0.2080, loss_mask: 0.2122, loss: 0.6450 +2022-09-22 17:16:49,427 - mmdet - INFO - Epoch [17][750/7330] lr: 1.000e-04, eta: 18:21:28, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0314, loss_cls: 0.1633, acc: 94.0931, loss_bbox: 0.1998, loss_mask: 0.2151, loss: 0.6308 +2022-09-22 17:17:11,432 - mmdet - INFO - Epoch [17][800/7330] lr: 1.000e-04, eta: 18:21:04, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0308, loss_cls: 0.1649, acc: 94.0774, loss_bbox: 0.2082, loss_mask: 0.2172, loss: 0.6428 +2022-09-22 17:17:33,124 - mmdet - INFO - Epoch [17][850/7330] lr: 1.000e-04, eta: 18:20:39, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0313, loss_cls: 0.1688, acc: 93.8411, loss_bbox: 0.2075, loss_mask: 0.2121, loss: 0.6425 +2022-09-22 17:17:55,034 - mmdet - INFO - Epoch [17][900/7330] lr: 1.000e-04, eta: 18:20:14, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0300, loss_cls: 0.1621, acc: 94.0598, loss_bbox: 0.2019, loss_mask: 0.2195, loss: 0.6355 +2022-09-22 17:18:16,721 - mmdet - INFO - Epoch [17][950/7330] lr: 1.000e-04, eta: 18:19:49, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0300, loss_cls: 0.1601, acc: 94.2200, loss_bbox: 0.1997, loss_mask: 0.2108, loss: 0.6208 +2022-09-22 17:18:38,795 - mmdet - INFO - Epoch [17][1000/7330] lr: 1.000e-04, eta: 18:19:25, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0357, loss_cls: 0.1694, acc: 93.8955, loss_bbox: 0.2092, loss_mask: 0.2124, loss: 0.6502 +2022-09-22 17:19:00,619 - mmdet - INFO - Epoch [17][1050/7330] lr: 1.000e-04, eta: 18:19:00, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0301, loss_cls: 0.1576, acc: 94.3623, loss_bbox: 0.1982, loss_mask: 0.2199, loss: 0.6316 +2022-09-22 17:19:22,980 - mmdet - INFO - Epoch [17][1100/7330] lr: 1.000e-04, eta: 18:18:37, time: 0.448, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0326, loss_cls: 0.1632, acc: 94.0569, loss_bbox: 0.2088, loss_mask: 0.2172, loss: 0.6468 +2022-09-22 17:19:45,116 - mmdet - INFO - Epoch [17][1150/7330] lr: 1.000e-04, eta: 18:18:13, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0323, loss_cls: 0.1629, acc: 94.1465, loss_bbox: 0.2009, loss_mask: 0.2154, loss: 0.6348 +2022-09-22 17:20:06,818 - mmdet - INFO - Epoch [17][1200/7330] lr: 1.000e-04, eta: 18:17:48, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0320, loss_cls: 0.1637, acc: 93.9893, loss_bbox: 0.2115, loss_mask: 0.2173, loss: 0.6462 +2022-09-22 17:20:28,450 - mmdet - INFO - Epoch [17][1250/7330] lr: 1.000e-04, eta: 18:17:23, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0286, loss_cls: 0.1576, acc: 94.2341, loss_bbox: 0.2016, loss_mask: 0.2133, loss: 0.6204 +2022-09-22 17:20:49,708 - mmdet - INFO - Epoch [17][1300/7330] lr: 1.000e-04, eta: 18:16:57, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0300, loss_cls: 0.1556, acc: 94.3503, loss_bbox: 0.2011, loss_mask: 0.2104, loss: 0.6201 +2022-09-22 17:21:11,550 - mmdet - INFO - Epoch [17][1350/7330] lr: 1.000e-04, eta: 18:16:33, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0326, loss_cls: 0.1624, acc: 94.0728, loss_bbox: 0.2067, loss_mask: 0.2183, loss: 0.6402 +2022-09-22 17:21:33,594 - mmdet - INFO - Epoch [17][1400/7330] lr: 1.000e-04, eta: 18:16:08, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0344, loss_cls: 0.1713, acc: 93.6848, loss_bbox: 0.2148, loss_mask: 0.2198, loss: 0.6618 +2022-09-22 17:21:55,592 - mmdet - INFO - Epoch [17][1450/7330] lr: 1.000e-04, eta: 18:15:44, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0315, loss_cls: 0.1612, acc: 94.1211, loss_bbox: 0.2002, loss_mask: 0.2146, loss: 0.6306 +2022-09-22 17:22:17,844 - mmdet - INFO - Epoch [17][1500/7330] lr: 1.000e-04, eta: 18:15:21, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0320, loss_cls: 0.1696, acc: 93.8015, loss_bbox: 0.2105, loss_mask: 0.2186, loss: 0.6546 +2022-09-22 17:22:39,180 - mmdet - INFO - Epoch [17][1550/7330] lr: 1.000e-04, eta: 18:14:55, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0310, loss_cls: 0.1598, acc: 94.1499, loss_bbox: 0.2010, loss_mask: 0.2117, loss: 0.6264 +2022-09-22 17:23:01,221 - mmdet - INFO - Epoch [17][1600/7330] lr: 1.000e-04, eta: 18:14:31, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0346, loss_cls: 0.1829, acc: 93.4290, loss_bbox: 0.2262, loss_mask: 0.2241, loss: 0.6944 +2022-09-22 17:23:23,001 - mmdet - INFO - Epoch [17][1650/7330] lr: 1.000e-04, eta: 18:14:06, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0337, loss_cls: 0.1765, acc: 93.6479, loss_bbox: 0.2186, loss_mask: 0.2223, loss: 0.6764 +2022-09-22 17:23:44,928 - mmdet - INFO - Epoch [17][1700/7330] lr: 1.000e-04, eta: 18:13:42, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0333, loss_cls: 0.1736, acc: 93.8005, loss_bbox: 0.2153, loss_mask: 0.2187, loss: 0.6672 +2022-09-22 17:24:06,687 - mmdet - INFO - Epoch [17][1750/7330] lr: 1.000e-04, eta: 18:13:17, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0344, loss_cls: 0.1776, acc: 93.5195, loss_bbox: 0.2187, loss_mask: 0.2289, loss: 0.6846 +2022-09-22 17:24:28,935 - mmdet - INFO - Epoch [17][1800/7330] lr: 1.000e-04, eta: 18:12:53, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0318, loss_cls: 0.1600, acc: 94.0706, loss_bbox: 0.2108, loss_mask: 0.2220, loss: 0.6494 +2022-09-22 17:24:50,991 - mmdet - INFO - Epoch [17][1850/7330] lr: 1.000e-04, eta: 18:12:29, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0317, loss_cls: 0.1688, acc: 93.8962, loss_bbox: 0.2150, loss_mask: 0.2250, loss: 0.6641 +2022-09-22 17:25:12,972 - mmdet - INFO - Epoch [17][1900/7330] lr: 1.000e-04, eta: 18:12:05, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0331, loss_cls: 0.1747, acc: 93.6667, loss_bbox: 0.2167, loss_mask: 0.2242, loss: 0.6727 +2022-09-22 17:25:34,584 - mmdet - INFO - Epoch [17][1950/7330] lr: 1.000e-04, eta: 18:11:40, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0301, loss_cls: 0.1557, acc: 94.3074, loss_bbox: 0.1983, loss_mask: 0.2077, loss: 0.6133 +2022-09-22 17:25:56,580 - mmdet - INFO - Epoch [17][2000/7330] lr: 1.000e-04, eta: 18:11:16, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0320, loss_cls: 0.1701, acc: 93.9065, loss_bbox: 0.2082, loss_mask: 0.2157, loss: 0.6490 +2022-09-22 17:26:18,596 - mmdet - INFO - Epoch [17][2050/7330] lr: 1.000e-04, eta: 18:10:52, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0325, loss_cls: 0.1650, acc: 93.9170, loss_bbox: 0.2083, loss_mask: 0.2193, loss: 0.6480 +2022-09-22 17:26:40,032 - mmdet - INFO - Epoch [17][2100/7330] lr: 1.000e-04, eta: 18:10:26, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0313, loss_cls: 0.1617, acc: 94.0671, loss_bbox: 0.2038, loss_mask: 0.2145, loss: 0.6339 +2022-09-22 17:27:01,759 - mmdet - INFO - Epoch [17][2150/7330] lr: 1.000e-04, eta: 18:10:01, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0320, loss_cls: 0.1610, acc: 94.1440, loss_bbox: 0.2002, loss_mask: 0.2154, loss: 0.6319 +2022-09-22 17:27:23,693 - mmdet - INFO - Epoch [17][2200/7330] lr: 1.000e-04, eta: 18:09:37, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0341, loss_cls: 0.1691, acc: 93.9180, loss_bbox: 0.2100, loss_mask: 0.2113, loss: 0.6485 +2022-09-22 17:27:45,611 - mmdet - INFO - Epoch [17][2250/7330] lr: 1.000e-04, eta: 18:09:13, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0312, loss_cls: 0.1663, acc: 94.1008, loss_bbox: 0.2051, loss_mask: 0.2163, loss: 0.6408 +2022-09-22 17:28:07,582 - mmdet - INFO - Epoch [17][2300/7330] lr: 1.000e-04, eta: 18:08:48, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0322, loss_cls: 0.1727, acc: 93.8237, loss_bbox: 0.2105, loss_mask: 0.2155, loss: 0.6558 +2022-09-22 17:28:28,976 - mmdet - INFO - Epoch [17][2350/7330] lr: 1.000e-04, eta: 18:08:23, time: 0.428, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0312, loss_cls: 0.1731, acc: 93.6575, loss_bbox: 0.2134, loss_mask: 0.2168, loss: 0.6572 +2022-09-22 17:28:50,650 - mmdet - INFO - Epoch [17][2400/7330] lr: 1.000e-04, eta: 18:07:58, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0288, loss_cls: 0.1616, acc: 94.1509, loss_bbox: 0.2003, loss_mask: 0.2132, loss: 0.6259 +2022-09-22 17:29:12,394 - mmdet - INFO - Epoch [17][2450/7330] lr: 1.000e-04, eta: 18:07:33, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0323, loss_cls: 0.1651, acc: 93.9653, loss_bbox: 0.2087, loss_mask: 0.2143, loss: 0.6427 +2022-09-22 17:29:34,748 - mmdet - INFO - Epoch [17][2500/7330] lr: 1.000e-04, eta: 18:07:10, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0324, loss_cls: 0.1638, acc: 94.0068, loss_bbox: 0.2013, loss_mask: 0.2121, loss: 0.6324 +2022-09-22 17:29:56,315 - mmdet - INFO - Epoch [17][2550/7330] lr: 1.000e-04, eta: 18:06:45, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0315, loss_cls: 0.1588, acc: 94.3230, loss_bbox: 0.2005, loss_mask: 0.2129, loss: 0.6259 +2022-09-22 17:30:17,927 - mmdet - INFO - Epoch [17][2600/7330] lr: 1.000e-04, eta: 18:06:20, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0324, loss_cls: 0.1723, acc: 93.7676, loss_bbox: 0.2186, loss_mask: 0.2183, loss: 0.6644 +2022-09-22 17:30:39,594 - mmdet - INFO - Epoch [17][2650/7330] lr: 1.000e-04, eta: 18:05:55, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0349, loss_cls: 0.1795, acc: 93.4407, loss_bbox: 0.2245, loss_mask: 0.2238, loss: 0.6889 +2022-09-22 17:31:01,384 - mmdet - INFO - Epoch [17][2700/7330] lr: 1.000e-04, eta: 18:05:30, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0309, loss_cls: 0.1698, acc: 93.9058, loss_bbox: 0.2104, loss_mask: 0.2218, loss: 0.6563 +2022-09-22 17:31:22,611 - mmdet - INFO - Epoch [17][2750/7330] lr: 1.000e-04, eta: 18:05:04, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0313, loss_cls: 0.1708, acc: 93.8928, loss_bbox: 0.2079, loss_mask: 0.2154, loss: 0.6480 +2022-09-22 17:31:43,596 - mmdet - INFO - Epoch [17][2800/7330] lr: 1.000e-04, eta: 18:04:38, time: 0.420, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0298, loss_cls: 0.1550, acc: 94.3667, loss_bbox: 0.1969, loss_mask: 0.2104, loss: 0.6127 +2022-09-22 17:32:05,195 - mmdet - INFO - Epoch [17][2850/7330] lr: 1.000e-04, eta: 18:04:13, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0315, loss_cls: 0.1693, acc: 93.9666, loss_bbox: 0.2080, loss_mask: 0.2191, loss: 0.6518 +2022-09-22 17:32:26,739 - mmdet - INFO - Epoch [17][2900/7330] lr: 1.000e-04, eta: 18:03:48, time: 0.430, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0308, loss_cls: 0.1598, acc: 94.1633, loss_bbox: 0.2007, loss_mask: 0.2145, loss: 0.6269 +2022-09-22 17:32:48,615 - mmdet - INFO - Epoch [17][2950/7330] lr: 1.000e-04, eta: 18:03:23, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0313, loss_cls: 0.1672, acc: 93.9663, loss_bbox: 0.2064, loss_mask: 0.2099, loss: 0.6390 +2022-09-22 17:33:10,556 - mmdet - INFO - Epoch [17][3000/7330] lr: 1.000e-04, eta: 18:02:59, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0321, loss_cls: 0.1645, acc: 93.9771, loss_bbox: 0.2040, loss_mask: 0.2123, loss: 0.6383 +2022-09-22 17:33:32,259 - mmdet - INFO - Epoch [17][3050/7330] lr: 1.000e-04, eta: 18:02:34, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0329, loss_cls: 0.1693, acc: 93.8252, loss_bbox: 0.2128, loss_mask: 0.2166, loss: 0.6551 +2022-09-22 17:33:54,152 - mmdet - INFO - Epoch [17][3100/7330] lr: 1.000e-04, eta: 18:02:10, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0303, loss_cls: 0.1570, acc: 94.2603, loss_bbox: 0.2004, loss_mask: 0.2069, loss: 0.6151 +2022-09-22 17:34:15,504 - mmdet - INFO - Epoch [17][3150/7330] lr: 1.000e-04, eta: 18:01:44, time: 0.427, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0309, loss_cls: 0.1722, acc: 93.8674, loss_bbox: 0.2067, loss_mask: 0.2193, loss: 0.6509 +2022-09-22 17:34:37,772 - mmdet - INFO - Epoch [17][3200/7330] lr: 1.000e-04, eta: 18:01:21, time: 0.445, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0310, loss_cls: 0.1720, acc: 93.7610, loss_bbox: 0.2089, loss_mask: 0.2175, loss: 0.6543 +2022-09-22 17:34:59,685 - mmdet - INFO - Epoch [17][3250/7330] lr: 1.000e-04, eta: 18:00:57, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0322, loss_cls: 0.1728, acc: 93.7788, loss_bbox: 0.2134, loss_mask: 0.2169, loss: 0.6595 +2022-09-22 17:35:21,685 - mmdet - INFO - Epoch [17][3300/7330] lr: 1.000e-04, eta: 18:00:33, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0344, loss_cls: 0.1690, acc: 93.8054, loss_bbox: 0.2162, loss_mask: 0.2192, loss: 0.6633 +2022-09-22 17:35:43,507 - mmdet - INFO - Epoch [17][3350/7330] lr: 1.000e-04, eta: 18:00:08, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0310, loss_cls: 0.1655, acc: 94.0159, loss_bbox: 0.2038, loss_mask: 0.2152, loss: 0.6374 +2022-09-22 17:36:05,558 - mmdet - INFO - Epoch [17][3400/7330] lr: 1.000e-04, eta: 17:59:44, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0320, loss_cls: 0.1615, acc: 94.0745, loss_bbox: 0.2040, loss_mask: 0.2182, loss: 0.6365 +2022-09-22 17:36:27,899 - mmdet - INFO - Epoch [17][3450/7330] lr: 1.000e-04, eta: 17:59:21, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0340, loss_cls: 0.1769, acc: 93.6699, loss_bbox: 0.2161, loss_mask: 0.2226, loss: 0.6732 +2022-09-22 17:36:49,770 - mmdet - INFO - Epoch [17][3500/7330] lr: 1.000e-04, eta: 17:58:57, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0278, loss_cls: 0.1585, acc: 94.4011, loss_bbox: 0.1891, loss_mask: 0.2112, loss: 0.6045 +2022-09-22 17:37:11,533 - mmdet - INFO - Epoch [17][3550/7330] lr: 1.000e-04, eta: 17:58:32, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0312, loss_cls: 0.1641, acc: 94.0039, loss_bbox: 0.2101, loss_mask: 0.2137, loss: 0.6438 +2022-09-22 17:37:33,472 - mmdet - INFO - Epoch [17][3600/7330] lr: 1.000e-04, eta: 17:58:08, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0327, loss_cls: 0.1627, acc: 94.0544, loss_bbox: 0.2119, loss_mask: 0.2207, loss: 0.6503 +2022-09-22 17:37:55,004 - mmdet - INFO - Epoch [17][3650/7330] lr: 1.000e-04, eta: 17:57:43, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0310, loss_cls: 0.1595, acc: 94.2192, loss_bbox: 0.2064, loss_mask: 0.2148, loss: 0.6339 +2022-09-22 17:38:16,676 - mmdet - INFO - Epoch [17][3700/7330] lr: 1.000e-04, eta: 17:57:18, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0331, loss_cls: 0.1646, acc: 93.9521, loss_bbox: 0.2107, loss_mask: 0.2166, loss: 0.6486 +2022-09-22 17:38:38,556 - mmdet - INFO - Epoch [17][3750/7330] lr: 1.000e-04, eta: 17:56:54, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0309, loss_cls: 0.1668, acc: 93.8591, loss_bbox: 0.2141, loss_mask: 0.2246, loss: 0.6585 +2022-09-22 17:38:59,899 - mmdet - INFO - Epoch [17][3800/7330] lr: 1.000e-04, eta: 17:56:28, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0299, loss_cls: 0.1641, acc: 93.9980, loss_bbox: 0.2073, loss_mask: 0.2147, loss: 0.6385 +2022-09-22 17:39:21,436 - mmdet - INFO - Epoch [17][3850/7330] lr: 1.000e-04, eta: 17:56:03, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0316, loss_cls: 0.1601, acc: 94.0720, loss_bbox: 0.2048, loss_mask: 0.2175, loss: 0.6359 +2022-09-22 17:39:43,415 - mmdet - INFO - Epoch [17][3900/7330] lr: 1.000e-04, eta: 17:55:39, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1732, acc: 93.7947, loss_bbox: 0.2095, loss_mask: 0.2180, loss: 0.6573 +2022-09-22 17:40:05,352 - mmdet - INFO - Epoch [17][3950/7330] lr: 1.000e-04, eta: 17:55:15, time: 0.439, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0329, loss_cls: 0.1710, acc: 93.8477, loss_bbox: 0.2148, loss_mask: 0.2203, loss: 0.6626 +2022-09-22 17:40:27,350 - mmdet - INFO - Epoch [17][4000/7330] lr: 1.000e-04, eta: 17:54:51, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0328, loss_cls: 0.1664, acc: 93.9377, loss_bbox: 0.2066, loss_mask: 0.2204, loss: 0.6503 +2022-09-22 17:40:49,135 - mmdet - INFO - Epoch [17][4050/7330] lr: 1.000e-04, eta: 17:54:26, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0320, loss_cls: 0.1605, acc: 94.2002, loss_bbox: 0.2004, loss_mask: 0.2102, loss: 0.6272 +2022-09-22 17:41:11,018 - mmdet - INFO - Epoch [17][4100/7330] lr: 1.000e-04, eta: 17:54:02, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0314, loss_cls: 0.1638, acc: 94.0471, loss_bbox: 0.2061, loss_mask: 0.2127, loss: 0.6376 +2022-09-22 17:41:32,619 - mmdet - INFO - Epoch [17][4150/7330] lr: 1.000e-04, eta: 17:53:37, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0297, loss_cls: 0.1637, acc: 94.1528, loss_bbox: 0.1995, loss_mask: 0.2100, loss: 0.6243 +2022-09-22 17:41:54,683 - mmdet - INFO - Epoch [17][4200/7330] lr: 1.000e-04, eta: 17:53:13, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0303, loss_cls: 0.1590, acc: 94.3545, loss_bbox: 0.2008, loss_mask: 0.2145, loss: 0.6268 +2022-09-22 17:42:16,172 - mmdet - INFO - Epoch [17][4250/7330] lr: 1.000e-04, eta: 17:52:48, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0313, loss_cls: 0.1703, acc: 93.9053, loss_bbox: 0.2103, loss_mask: 0.2218, loss: 0.6568 +2022-09-22 17:42:37,731 - mmdet - INFO - Epoch [17][4300/7330] lr: 1.000e-04, eta: 17:52:23, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0320, loss_cls: 0.1731, acc: 93.7793, loss_bbox: 0.2111, loss_mask: 0.2153, loss: 0.6550 +2022-09-22 17:42:59,837 - mmdet - INFO - Epoch [17][4350/7330] lr: 1.000e-04, eta: 17:51:59, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0349, loss_cls: 0.1735, acc: 93.6880, loss_bbox: 0.2185, loss_mask: 0.2254, loss: 0.6769 +2022-09-22 17:43:21,370 - mmdet - INFO - Epoch [17][4400/7330] lr: 1.000e-04, eta: 17:51:34, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0323, loss_cls: 0.1613, acc: 94.0217, loss_bbox: 0.2068, loss_mask: 0.2113, loss: 0.6337 +2022-09-22 17:43:43,217 - mmdet - INFO - Epoch [17][4450/7330] lr: 1.000e-04, eta: 17:51:10, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0307, loss_cls: 0.1647, acc: 93.9363, loss_bbox: 0.2084, loss_mask: 0.2205, loss: 0.6450 +2022-09-22 17:44:04,844 - mmdet - INFO - Epoch [17][4500/7330] lr: 1.000e-04, eta: 17:50:45, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0311, loss_cls: 0.1598, acc: 94.2258, loss_bbox: 0.2012, loss_mask: 0.2147, loss: 0.6283 +2022-09-22 17:44:27,147 - mmdet - INFO - Epoch [17][4550/7330] lr: 1.000e-04, eta: 17:50:22, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0322, loss_cls: 0.1677, acc: 93.8853, loss_bbox: 0.2125, loss_mask: 0.2183, loss: 0.6527 +2022-09-22 17:44:48,819 - mmdet - INFO - Epoch [17][4600/7330] lr: 1.000e-04, eta: 17:49:57, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0313, loss_cls: 0.1635, acc: 94.1101, loss_bbox: 0.2063, loss_mask: 0.2179, loss: 0.6425 +2022-09-22 17:45:10,402 - mmdet - INFO - Epoch [17][4650/7330] lr: 1.000e-04, eta: 17:49:32, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0308, loss_cls: 0.1511, acc: 94.4590, loss_bbox: 0.1956, loss_mask: 0.2114, loss: 0.6121 +2022-09-22 17:45:31,959 - mmdet - INFO - Epoch [17][4700/7330] lr: 1.000e-04, eta: 17:49:07, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0314, loss_cls: 0.1628, acc: 94.0620, loss_bbox: 0.1999, loss_mask: 0.2119, loss: 0.6297 +2022-09-22 17:45:53,870 - mmdet - INFO - Epoch [17][4750/7330] lr: 1.000e-04, eta: 17:48:43, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0309, loss_cls: 0.1615, acc: 94.0750, loss_bbox: 0.2041, loss_mask: 0.2140, loss: 0.6330 +2022-09-22 17:46:15,315 - mmdet - INFO - Epoch [17][4800/7330] lr: 1.000e-04, eta: 17:48:18, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0336, loss_cls: 0.1685, acc: 93.8862, loss_bbox: 0.2091, loss_mask: 0.2146, loss: 0.6497 +2022-09-22 17:46:36,568 - mmdet - INFO - Epoch [17][4850/7330] lr: 1.000e-04, eta: 17:47:52, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0325, loss_cls: 0.1601, acc: 94.2014, loss_bbox: 0.2085, loss_mask: 0.2136, loss: 0.6370 +2022-09-22 17:46:57,781 - mmdet - INFO - Epoch [17][4900/7330] lr: 1.000e-04, eta: 17:47:27, time: 0.424, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0290, loss_cls: 0.1526, acc: 94.5229, loss_bbox: 0.1964, loss_mask: 0.2089, loss: 0.6093 +2022-09-22 17:47:19,628 - mmdet - INFO - Epoch [17][4950/7330] lr: 1.000e-04, eta: 17:47:02, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0328, loss_cls: 0.1704, acc: 93.9014, loss_bbox: 0.2093, loss_mask: 0.2159, loss: 0.6521 +2022-09-22 17:47:41,156 - mmdet - INFO - Epoch [17][5000/7330] lr: 1.000e-04, eta: 17:46:37, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0337, loss_cls: 0.1674, acc: 93.8835, loss_bbox: 0.2101, loss_mask: 0.2164, loss: 0.6539 +2022-09-22 17:48:02,824 - mmdet - INFO - Epoch [17][5050/7330] lr: 1.000e-04, eta: 17:46:13, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0313, loss_cls: 0.1622, acc: 94.0708, loss_bbox: 0.2038, loss_mask: 0.2120, loss: 0.6323 +2022-09-22 17:48:24,155 - mmdet - INFO - Epoch [17][5100/7330] lr: 1.000e-04, eta: 17:45:47, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0341, loss_cls: 0.1739, acc: 93.7822, loss_bbox: 0.2066, loss_mask: 0.2168, loss: 0.6559 +2022-09-22 17:48:45,971 - mmdet - INFO - Epoch [17][5150/7330] lr: 1.000e-04, eta: 17:45:23, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0291, loss_cls: 0.1633, acc: 94.0073, loss_bbox: 0.2059, loss_mask: 0.2141, loss: 0.6335 +2022-09-22 17:49:07,714 - mmdet - INFO - Epoch [17][5200/7330] lr: 1.000e-04, eta: 17:44:59, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0330, loss_cls: 0.1675, acc: 93.9470, loss_bbox: 0.2114, loss_mask: 0.2211, loss: 0.6563 +2022-09-22 17:49:29,478 - mmdet - INFO - Epoch [17][5250/7330] lr: 1.000e-04, eta: 17:44:34, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0312, loss_cls: 0.1596, acc: 94.1240, loss_bbox: 0.2007, loss_mask: 0.2186, loss: 0.6339 +2022-09-22 17:49:51,881 - mmdet - INFO - Epoch [17][5300/7330] lr: 1.000e-04, eta: 17:44:11, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0343, loss_cls: 0.1756, acc: 93.7217, loss_bbox: 0.2160, loss_mask: 0.2256, loss: 0.6780 +2022-09-22 17:50:13,280 - mmdet - INFO - Epoch [17][5350/7330] lr: 1.000e-04, eta: 17:43:46, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0313, loss_cls: 0.1659, acc: 94.0012, loss_bbox: 0.2087, loss_mask: 0.2188, loss: 0.6476 +2022-09-22 17:50:34,931 - mmdet - INFO - Epoch [17][5400/7330] lr: 1.000e-04, eta: 17:43:21, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0333, loss_cls: 0.1685, acc: 93.9595, loss_bbox: 0.2126, loss_mask: 0.2189, loss: 0.6568 +2022-09-22 17:50:56,821 - mmdet - INFO - Epoch [17][5450/7330] lr: 1.000e-04, eta: 17:42:57, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0317, loss_cls: 0.1680, acc: 93.9819, loss_bbox: 0.2131, loss_mask: 0.2189, loss: 0.6575 +2022-09-22 17:51:18,705 - mmdet - INFO - Epoch [17][5500/7330] lr: 1.000e-04, eta: 17:42:33, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0286, loss_cls: 0.1618, acc: 93.9851, loss_bbox: 0.2021, loss_mask: 0.2148, loss: 0.6274 +2022-09-22 17:51:40,067 - mmdet - INFO - Epoch [17][5550/7330] lr: 1.000e-04, eta: 17:42:08, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0302, loss_cls: 0.1561, acc: 94.3730, loss_bbox: 0.1936, loss_mask: 0.2092, loss: 0.6114 +2022-09-22 17:52:02,283 - mmdet - INFO - Epoch [17][5600/7330] lr: 1.000e-04, eta: 17:41:44, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0318, loss_cls: 0.1581, acc: 94.3044, loss_bbox: 0.1962, loss_mask: 0.2094, loss: 0.6212 +2022-09-22 17:52:24,022 - mmdet - INFO - Epoch [17][5650/7330] lr: 1.000e-04, eta: 17:41:20, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0285, loss_cls: 0.1606, acc: 94.2156, loss_bbox: 0.1995, loss_mask: 0.2190, loss: 0.6295 +2022-09-22 17:52:45,759 - mmdet - INFO - Epoch [17][5700/7330] lr: 1.000e-04, eta: 17:40:55, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0331, loss_cls: 0.1744, acc: 93.7104, loss_bbox: 0.2148, loss_mask: 0.2193, loss: 0.6635 +2022-09-22 17:53:07,588 - mmdet - INFO - Epoch [17][5750/7330] lr: 1.000e-04, eta: 17:40:31, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0338, loss_cls: 0.1723, acc: 93.8049, loss_bbox: 0.2083, loss_mask: 0.2215, loss: 0.6612 +2022-09-22 17:53:29,403 - mmdet - INFO - Epoch [17][5800/7330] lr: 1.000e-04, eta: 17:40:07, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0315, loss_cls: 0.1644, acc: 94.0718, loss_bbox: 0.2067, loss_mask: 0.2211, loss: 0.6475 +2022-09-22 17:53:51,348 - mmdet - INFO - Epoch [17][5850/7330] lr: 1.000e-04, eta: 17:39:43, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0323, loss_cls: 0.1665, acc: 93.9841, loss_bbox: 0.2070, loss_mask: 0.2154, loss: 0.6452 +2022-09-22 17:54:13,011 - mmdet - INFO - Epoch [17][5900/7330] lr: 1.000e-04, eta: 17:39:18, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0292, loss_cls: 0.1549, acc: 94.4421, loss_bbox: 0.1940, loss_mask: 0.2097, loss: 0.6089 +2022-09-22 17:54:34,847 - mmdet - INFO - Epoch [17][5950/7330] lr: 1.000e-04, eta: 17:38:54, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0311, loss_cls: 0.1694, acc: 93.9109, loss_bbox: 0.2098, loss_mask: 0.2204, loss: 0.6568 +2022-09-22 17:54:56,687 - mmdet - INFO - Epoch [17][6000/7330] lr: 1.000e-04, eta: 17:38:30, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0332, loss_cls: 0.1720, acc: 93.7690, loss_bbox: 0.2113, loss_mask: 0.2169, loss: 0.6568 +2022-09-22 17:55:18,863 - mmdet - INFO - Epoch [17][6050/7330] lr: 1.000e-04, eta: 17:38:06, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0305, loss_cls: 0.1598, acc: 94.2346, loss_bbox: 0.1994, loss_mask: 0.2147, loss: 0.6262 +2022-09-22 17:55:40,382 - mmdet - INFO - Epoch [17][6100/7330] lr: 1.000e-04, eta: 17:37:41, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0318, loss_cls: 0.1713, acc: 93.7581, loss_bbox: 0.2151, loss_mask: 0.2253, loss: 0.6663 +2022-09-22 17:56:02,151 - mmdet - INFO - Epoch [17][6150/7330] lr: 1.000e-04, eta: 17:37:17, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0296, loss_cls: 0.1660, acc: 93.9856, loss_bbox: 0.2076, loss_mask: 0.2174, loss: 0.6435 +2022-09-22 17:56:23,888 - mmdet - INFO - Epoch [17][6200/7330] lr: 1.000e-04, eta: 17:36:53, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0332, loss_cls: 0.1661, acc: 93.9656, loss_bbox: 0.2087, loss_mask: 0.2144, loss: 0.6455 +2022-09-22 17:56:45,661 - mmdet - INFO - Epoch [17][6250/7330] lr: 1.000e-04, eta: 17:36:28, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0307, loss_cls: 0.1685, acc: 93.9153, loss_bbox: 0.2071, loss_mask: 0.2135, loss: 0.6420 +2022-09-22 17:57:07,312 - mmdet - INFO - Epoch [17][6300/7330] lr: 1.000e-04, eta: 17:36:04, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0309, loss_cls: 0.1636, acc: 94.1113, loss_bbox: 0.2026, loss_mask: 0.2128, loss: 0.6328 +2022-09-22 17:57:28,966 - mmdet - INFO - Epoch [17][6350/7330] lr: 1.000e-04, eta: 17:35:39, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0293, loss_cls: 0.1519, acc: 94.5088, loss_bbox: 0.1932, loss_mask: 0.2043, loss: 0.6021 +2022-09-22 17:57:50,731 - mmdet - INFO - Epoch [17][6400/7330] lr: 1.000e-04, eta: 17:35:15, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0323, loss_cls: 0.1652, acc: 94.0103, loss_bbox: 0.2052, loss_mask: 0.2127, loss: 0.6373 +2022-09-22 17:58:12,522 - mmdet - INFO - Epoch [17][6450/7330] lr: 1.000e-04, eta: 17:34:50, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0323, loss_cls: 0.1697, acc: 93.8887, loss_bbox: 0.2129, loss_mask: 0.2241, loss: 0.6603 +2022-09-22 17:58:35,031 - mmdet - INFO - Epoch [17][6500/7330] lr: 1.000e-04, eta: 17:34:28, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0354, loss_cls: 0.1754, acc: 93.5830, loss_bbox: 0.2231, loss_mask: 0.2191, loss: 0.6782 +2022-09-22 17:58:57,040 - mmdet - INFO - Epoch [17][6550/7330] lr: 1.000e-04, eta: 17:34:04, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0314, loss_cls: 0.1702, acc: 93.8884, loss_bbox: 0.2065, loss_mask: 0.2148, loss: 0.6460 +2022-09-22 17:59:18,703 - mmdet - INFO - Epoch [17][6600/7330] lr: 1.000e-04, eta: 17:33:39, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0326, loss_cls: 0.1682, acc: 93.9409, loss_bbox: 0.2090, loss_mask: 0.2224, loss: 0.6563 +2022-09-22 17:59:40,033 - mmdet - INFO - Epoch [17][6650/7330] lr: 1.000e-04, eta: 17:33:14, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0342, loss_cls: 0.1705, acc: 93.7554, loss_bbox: 0.2111, loss_mask: 0.2160, loss: 0.6567 +2022-09-22 18:00:02,091 - mmdet - INFO - Epoch [17][6700/7330] lr: 1.000e-04, eta: 17:32:50, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0325, loss_cls: 0.1653, acc: 93.9634, loss_bbox: 0.2087, loss_mask: 0.2211, loss: 0.6502 +2022-09-22 18:00:28,160 - mmdet - INFO - Epoch [17][6750/7330] lr: 1.000e-04, eta: 17:32:35, time: 0.522, data_time: 0.038, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0329, loss_cls: 0.1683, acc: 93.8479, loss_bbox: 0.2093, loss_mask: 0.2175, loss: 0.6511 +2022-09-22 18:00:50,125 - mmdet - INFO - Epoch [17][6800/7330] lr: 1.000e-04, eta: 17:32:11, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0322, loss_cls: 0.1687, acc: 93.8459, loss_bbox: 0.2135, loss_mask: 0.2136, loss: 0.6497 +2022-09-22 18:01:11,498 - mmdet - INFO - Epoch [17][6850/7330] lr: 1.000e-04, eta: 17:31:46, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0336, loss_cls: 0.1721, acc: 93.7585, loss_bbox: 0.2109, loss_mask: 0.2175, loss: 0.6601 +2022-09-22 18:01:32,929 - mmdet - INFO - Epoch [17][6900/7330] lr: 1.000e-04, eta: 17:31:21, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0312, loss_cls: 0.1613, acc: 94.2964, loss_bbox: 0.1981, loss_mask: 0.2047, loss: 0.6193 +2022-09-22 18:01:54,400 - mmdet - INFO - Epoch [17][6950/7330] lr: 1.000e-04, eta: 17:30:56, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0328, loss_cls: 0.1540, acc: 94.2825, loss_bbox: 0.2029, loss_mask: 0.2217, loss: 0.6344 +2022-09-22 18:02:16,402 - mmdet - INFO - Epoch [17][7000/7330] lr: 1.000e-04, eta: 17:30:32, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0348, loss_cls: 0.1803, acc: 93.5044, loss_bbox: 0.2198, loss_mask: 0.2196, loss: 0.6805 +2022-09-22 18:02:38,042 - mmdet - INFO - Epoch [17][7050/7330] lr: 1.000e-04, eta: 17:30:08, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0329, loss_cls: 0.1752, acc: 93.6521, loss_bbox: 0.2122, loss_mask: 0.2178, loss: 0.6617 +2022-09-22 18:02:59,895 - mmdet - INFO - Epoch [17][7100/7330] lr: 1.000e-04, eta: 17:29:44, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0325, loss_cls: 0.1721, acc: 93.7571, loss_bbox: 0.2149, loss_mask: 0.2185, loss: 0.6627 +2022-09-22 18:03:21,854 - mmdet - INFO - Epoch [17][7150/7330] lr: 1.000e-04, eta: 17:29:20, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0296, loss_cls: 0.1530, acc: 94.4409, loss_bbox: 0.1942, loss_mask: 0.2094, loss: 0.6063 +2022-09-22 18:03:43,383 - mmdet - INFO - Epoch [17][7200/7330] lr: 1.000e-04, eta: 17:28:55, time: 0.430, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0311, loss_cls: 0.1561, acc: 94.2090, loss_bbox: 0.2030, loss_mask: 0.2156, loss: 0.6281 +2022-09-22 18:04:04,889 - mmdet - INFO - Epoch [17][7250/7330] lr: 1.000e-04, eta: 17:28:30, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0295, loss_cls: 0.1546, acc: 94.2693, loss_bbox: 0.2015, loss_mask: 0.2133, loss: 0.6199 +2022-09-22 18:04:26,682 - mmdet - INFO - Epoch [17][7300/7330] lr: 1.000e-04, eta: 17:28:06, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0298, loss_cls: 0.1609, acc: 94.1812, loss_bbox: 0.1986, loss_mask: 0.2123, loss: 0.6246 +2022-09-22 18:04:49,087 - mmdet - INFO - Saving checkpoint at 17 epochs +2022-09-22 18:07:09,108 - mmdet - INFO - Evaluating bbox... +2022-09-22 18:07:36,783 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.482 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.708 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.528 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.324 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.519 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.624 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.608 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.608 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.608 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.439 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.647 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.753 + +2022-09-22 18:07:36,783 - mmdet - INFO - Evaluating segm... +2022-09-22 18:08:11,620 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.429 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.676 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.461 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.243 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.465 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.623 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.371 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.593 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.715 + +2022-09-22 18:08:12,245 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 18:08:12,246 - mmdet - INFO - Epoch(val) [17][625] bbox_mAP: 0.4820, bbox_mAP_50: 0.7080, bbox_mAP_75: 0.5280, bbox_mAP_s: 0.3240, bbox_mAP_m: 0.5190, bbox_mAP_l: 0.6240, bbox_mAP_copypaste: 0.482 0.708 0.528 0.324 0.519 0.624, segm_mAP: 0.4290, segm_mAP_50: 0.6760, segm_mAP_75: 0.4610, segm_mAP_s: 0.2430, segm_mAP_m: 0.4650, segm_mAP_l: 0.6230, segm_mAP_copypaste: 0.429 0.676 0.461 0.243 0.465 0.623 +2022-09-22 18:10:51,231 - mmdet - INFO - Epoch [18][50/7330] lr: 1.000e-04, eta: 17:31:49, time: 3.177, data_time: 2.727, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0335, loss_cls: 0.1652, acc: 93.8218, loss_bbox: 0.2121, loss_mask: 0.2161, loss: 0.6496 +2022-09-22 18:11:13,604 - mmdet - INFO - Epoch [18][100/7330] lr: 1.000e-04, eta: 17:31:26, time: 0.449, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0305, loss_cls: 0.1521, acc: 94.4568, loss_bbox: 0.1934, loss_mask: 0.2131, loss: 0.6113 +2022-09-22 18:11:35,858 - mmdet - INFO - Epoch [18][150/7330] lr: 1.000e-04, eta: 17:31:02, time: 0.444, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0316, loss_cls: 0.1576, acc: 94.2056, loss_bbox: 0.2018, loss_mask: 0.2156, loss: 0.6279 +2022-09-22 18:11:58,028 - mmdet - INFO - Epoch [18][200/7330] lr: 1.000e-04, eta: 17:30:38, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0314, loss_cls: 0.1611, acc: 94.0710, loss_bbox: 0.2074, loss_mask: 0.2194, loss: 0.6416 +2022-09-22 18:12:20,145 - mmdet - INFO - Epoch [18][250/7330] lr: 1.000e-04, eta: 17:30:15, time: 0.443, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0338, loss_cls: 0.1737, acc: 93.7144, loss_bbox: 0.2126, loss_mask: 0.2138, loss: 0.6593 +2022-09-22 18:12:41,547 - mmdet - INFO - Epoch [18][300/7330] lr: 1.000e-04, eta: 17:29:49, time: 0.428, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0309, loss_cls: 0.1557, acc: 94.2705, loss_bbox: 0.2023, loss_mask: 0.2129, loss: 0.6234 +2022-09-22 18:13:03,883 - mmdet - INFO - Epoch [18][350/7330] lr: 1.000e-04, eta: 17:29:26, time: 0.445, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0313, loss_cls: 0.1642, acc: 94.0017, loss_bbox: 0.2122, loss_mask: 0.2194, loss: 0.6486 +2022-09-22 18:13:25,772 - mmdet - INFO - Epoch [18][400/7330] lr: 1.000e-04, eta: 17:29:02, time: 0.439, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0325, loss_cls: 0.1674, acc: 93.8623, loss_bbox: 0.2150, loss_mask: 0.2172, loss: 0.6557 +2022-09-22 18:13:47,817 - mmdet - INFO - Epoch [18][450/7330] lr: 1.000e-04, eta: 17:28:38, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0326, loss_cls: 0.1623, acc: 94.0425, loss_bbox: 0.2058, loss_mask: 0.2145, loss: 0.6371 +2022-09-22 18:14:09,527 - mmdet - INFO - Epoch [18][500/7330] lr: 1.000e-04, eta: 17:28:13, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0311, loss_cls: 0.1630, acc: 94.0552, loss_bbox: 0.2066, loss_mask: 0.2131, loss: 0.6358 +2022-09-22 18:14:31,313 - mmdet - INFO - Epoch [18][550/7330] lr: 1.000e-04, eta: 17:27:49, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0288, loss_cls: 0.1513, acc: 94.4690, loss_bbox: 0.1896, loss_mask: 0.2067, loss: 0.5962 +2022-09-22 18:14:53,262 - mmdet - INFO - Epoch [18][600/7330] lr: 1.000e-04, eta: 17:27:24, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0320, loss_cls: 0.1656, acc: 93.9727, loss_bbox: 0.2097, loss_mask: 0.2198, loss: 0.6491 +2022-09-22 18:15:14,947 - mmdet - INFO - Epoch [18][650/7330] lr: 1.000e-04, eta: 17:27:00, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0345, loss_cls: 0.1737, acc: 93.7322, loss_bbox: 0.2150, loss_mask: 0.2208, loss: 0.6682 +2022-09-22 18:15:37,016 - mmdet - INFO - Epoch [18][700/7330] lr: 1.000e-04, eta: 17:26:36, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0306, loss_cls: 0.1663, acc: 94.0928, loss_bbox: 0.2022, loss_mask: 0.2115, loss: 0.6310 +2022-09-22 18:15:58,920 - mmdet - INFO - Epoch [18][750/7330] lr: 1.000e-04, eta: 17:26:12, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0329, loss_cls: 0.1557, acc: 94.3152, loss_bbox: 0.2039, loss_mask: 0.2236, loss: 0.6396 +2022-09-22 18:16:20,396 - mmdet - INFO - Epoch [18][800/7330] lr: 1.000e-04, eta: 17:25:47, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0324, loss_cls: 0.1606, acc: 94.1770, loss_bbox: 0.2030, loss_mask: 0.2096, loss: 0.6296 +2022-09-22 18:16:42,232 - mmdet - INFO - Epoch [18][850/7330] lr: 1.000e-04, eta: 17:25:22, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0323, loss_cls: 0.1589, acc: 94.3000, loss_bbox: 0.2036, loss_mask: 0.2151, loss: 0.6322 +2022-09-22 18:17:03,985 - mmdet - INFO - Epoch [18][900/7330] lr: 1.000e-04, eta: 17:24:58, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0318, loss_cls: 0.1664, acc: 94.0674, loss_bbox: 0.2067, loss_mask: 0.2160, loss: 0.6435 +2022-09-22 18:17:25,549 - mmdet - INFO - Epoch [18][950/7330] lr: 1.000e-04, eta: 17:24:33, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0328, loss_cls: 0.1611, acc: 94.2026, loss_bbox: 0.2048, loss_mask: 0.2190, loss: 0.6414 +2022-09-22 18:17:47,173 - mmdet - INFO - Epoch [18][1000/7330] lr: 1.000e-04, eta: 17:24:08, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0332, loss_cls: 0.1698, acc: 93.8923, loss_bbox: 0.2079, loss_mask: 0.2125, loss: 0.6480 +2022-09-22 18:18:08,669 - mmdet - INFO - Epoch [18][1050/7330] lr: 1.000e-04, eta: 17:23:43, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0308, loss_cls: 0.1651, acc: 94.0688, loss_bbox: 0.2062, loss_mask: 0.2170, loss: 0.6425 +2022-09-22 18:18:30,314 - mmdet - INFO - Epoch [18][1100/7330] lr: 1.000e-04, eta: 17:23:18, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0307, loss_cls: 0.1585, acc: 94.1882, loss_bbox: 0.2053, loss_mask: 0.2143, loss: 0.6301 +2022-09-22 18:18:52,588 - mmdet - INFO - Epoch [18][1150/7330] lr: 1.000e-04, eta: 17:22:55, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0320, loss_cls: 0.1641, acc: 94.0037, loss_bbox: 0.2067, loss_mask: 0.2168, loss: 0.6425 +2022-09-22 18:19:14,182 - mmdet - INFO - Epoch [18][1200/7330] lr: 1.000e-04, eta: 17:22:30, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0320, loss_cls: 0.1662, acc: 93.9592, loss_bbox: 0.2045, loss_mask: 0.2158, loss: 0.6428 +2022-09-22 18:19:36,091 - mmdet - INFO - Epoch [18][1250/7330] lr: 1.000e-04, eta: 17:22:06, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0314, loss_cls: 0.1602, acc: 94.1094, loss_bbox: 0.2063, loss_mask: 0.2164, loss: 0.6354 +2022-09-22 18:19:57,538 - mmdet - INFO - Epoch [18][1300/7330] lr: 1.000e-04, eta: 17:21:41, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0327, loss_cls: 0.1657, acc: 94.0288, loss_bbox: 0.2081, loss_mask: 0.2135, loss: 0.6428 +2022-09-22 18:20:19,668 - mmdet - INFO - Epoch [18][1350/7330] lr: 1.000e-04, eta: 17:21:17, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0296, loss_cls: 0.1601, acc: 94.2136, loss_bbox: 0.2026, loss_mask: 0.2144, loss: 0.6268 +2022-09-22 18:20:41,842 - mmdet - INFO - Epoch [18][1400/7330] lr: 1.000e-04, eta: 17:20:53, time: 0.443, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0335, loss_cls: 0.1710, acc: 93.8706, loss_bbox: 0.2120, loss_mask: 0.2218, loss: 0.6612 +2022-09-22 18:21:04,077 - mmdet - INFO - Epoch [18][1450/7330] lr: 1.000e-04, eta: 17:20:30, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0308, loss_cls: 0.1678, acc: 93.9705, loss_bbox: 0.2074, loss_mask: 0.2213, loss: 0.6503 +2022-09-22 18:21:26,142 - mmdet - INFO - Epoch [18][1500/7330] lr: 1.000e-04, eta: 17:20:06, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0314, loss_cls: 0.1641, acc: 94.1255, loss_bbox: 0.2025, loss_mask: 0.2133, loss: 0.6332 +2022-09-22 18:21:47,473 - mmdet - INFO - Epoch [18][1550/7330] lr: 1.000e-04, eta: 17:19:41, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0309, loss_cls: 0.1619, acc: 94.1235, loss_bbox: 0.2022, loss_mask: 0.2161, loss: 0.6343 +2022-09-22 18:22:09,331 - mmdet - INFO - Epoch [18][1600/7330] lr: 1.000e-04, eta: 17:19:16, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0317, loss_cls: 0.1574, acc: 94.3103, loss_bbox: 0.1986, loss_mask: 0.2111, loss: 0.6208 +2022-09-22 18:22:31,361 - mmdet - INFO - Epoch [18][1650/7330] lr: 1.000e-04, eta: 17:18:52, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0344, loss_cls: 0.1749, acc: 93.6016, loss_bbox: 0.2210, loss_mask: 0.2168, loss: 0.6709 +2022-09-22 18:22:53,055 - mmdet - INFO - Epoch [18][1700/7330] lr: 1.000e-04, eta: 17:18:28, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0319, loss_cls: 0.1585, acc: 94.1807, loss_bbox: 0.1994, loss_mask: 0.2129, loss: 0.6258 +2022-09-22 18:23:14,917 - mmdet - INFO - Epoch [18][1750/7330] lr: 1.000e-04, eta: 17:18:04, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0314, loss_cls: 0.1607, acc: 94.1956, loss_bbox: 0.2047, loss_mask: 0.2186, loss: 0.6371 +2022-09-22 18:23:36,724 - mmdet - INFO - Epoch [18][1800/7330] lr: 1.000e-04, eta: 17:17:39, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0308, loss_cls: 0.1561, acc: 94.3279, loss_bbox: 0.2019, loss_mask: 0.2134, loss: 0.6214 +2022-09-22 18:23:58,324 - mmdet - INFO - Epoch [18][1850/7330] lr: 1.000e-04, eta: 17:17:14, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0318, loss_cls: 0.1665, acc: 93.9387, loss_bbox: 0.2073, loss_mask: 0.2170, loss: 0.6468 +2022-09-22 18:24:20,024 - mmdet - INFO - Epoch [18][1900/7330] lr: 1.000e-04, eta: 17:16:50, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0288, loss_cls: 0.1678, acc: 94.0579, loss_bbox: 0.2056, loss_mask: 0.2160, loss: 0.6406 +2022-09-22 18:24:41,563 - mmdet - INFO - Epoch [18][1950/7330] lr: 1.000e-04, eta: 17:16:25, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0323, loss_cls: 0.1641, acc: 94.1230, loss_bbox: 0.2034, loss_mask: 0.2122, loss: 0.6361 +2022-09-22 18:25:03,265 - mmdet - INFO - Epoch [18][2000/7330] lr: 1.000e-04, eta: 17:16:01, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0345, loss_cls: 0.1697, acc: 93.9194, loss_bbox: 0.2130, loss_mask: 0.2131, loss: 0.6539 +2022-09-22 18:25:24,818 - mmdet - INFO - Epoch [18][2050/7330] lr: 1.000e-04, eta: 17:15:36, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0314, loss_cls: 0.1545, acc: 94.4197, loss_bbox: 0.1979, loss_mask: 0.2159, loss: 0.6224 +2022-09-22 18:25:46,285 - mmdet - INFO - Epoch [18][2100/7330] lr: 1.000e-04, eta: 17:15:11, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0301, loss_cls: 0.1622, acc: 94.1702, loss_bbox: 0.2040, loss_mask: 0.2136, loss: 0.6332 +2022-09-22 18:26:07,937 - mmdet - INFO - Epoch [18][2150/7330] lr: 1.000e-04, eta: 17:14:46, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0310, loss_cls: 0.1555, acc: 94.3667, loss_bbox: 0.1963, loss_mask: 0.2073, loss: 0.6127 +2022-09-22 18:26:29,792 - mmdet - INFO - Epoch [18][2200/7330] lr: 1.000e-04, eta: 17:14:22, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0320, loss_cls: 0.1630, acc: 94.0500, loss_bbox: 0.2038, loss_mask: 0.2189, loss: 0.6409 +2022-09-22 18:26:51,642 - mmdet - INFO - Epoch [18][2250/7330] lr: 1.000e-04, eta: 17:13:58, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0323, loss_cls: 0.1630, acc: 93.9338, loss_bbox: 0.2120, loss_mask: 0.2202, loss: 0.6494 +2022-09-22 18:27:13,746 - mmdet - INFO - Epoch [18][2300/7330] lr: 1.000e-04, eta: 17:13:34, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0317, loss_cls: 0.1608, acc: 94.1387, loss_bbox: 0.2049, loss_mask: 0.2132, loss: 0.6355 +2022-09-22 18:27:35,597 - mmdet - INFO - Epoch [18][2350/7330] lr: 1.000e-04, eta: 17:13:10, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0311, loss_cls: 0.1562, acc: 94.2446, loss_bbox: 0.2048, loss_mask: 0.2106, loss: 0.6245 +2022-09-22 18:27:57,320 - mmdet - INFO - Epoch [18][2400/7330] lr: 1.000e-04, eta: 17:12:45, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0305, loss_cls: 0.1598, acc: 94.1921, loss_bbox: 0.2024, loss_mask: 0.2131, loss: 0.6286 +2022-09-22 18:28:19,425 - mmdet - INFO - Epoch [18][2450/7330] lr: 1.000e-04, eta: 17:12:21, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0352, loss_cls: 0.1650, acc: 93.9673, loss_bbox: 0.2090, loss_mask: 0.2171, loss: 0.6512 +2022-09-22 18:28:41,247 - mmdet - INFO - Epoch [18][2500/7330] lr: 1.000e-04, eta: 17:11:57, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0323, loss_cls: 0.1626, acc: 94.0391, loss_bbox: 0.2091, loss_mask: 0.2158, loss: 0.6419 +2022-09-22 18:29:03,126 - mmdet - INFO - Epoch [18][2550/7330] lr: 1.000e-04, eta: 17:11:33, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0314, loss_cls: 0.1671, acc: 93.9373, loss_bbox: 0.2088, loss_mask: 0.2167, loss: 0.6475 +2022-09-22 18:29:24,842 - mmdet - INFO - Epoch [18][2600/7330] lr: 1.000e-04, eta: 17:11:09, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0344, loss_cls: 0.1692, acc: 93.8030, loss_bbox: 0.2134, loss_mask: 0.2176, loss: 0.6598 +2022-09-22 18:29:46,975 - mmdet - INFO - Epoch [18][2650/7330] lr: 1.000e-04, eta: 17:10:45, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0327, loss_cls: 0.1662, acc: 93.9417, loss_bbox: 0.2113, loss_mask: 0.2171, loss: 0.6516 +2022-09-22 18:30:08,681 - mmdet - INFO - Epoch [18][2700/7330] lr: 1.000e-04, eta: 17:10:20, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0317, loss_cls: 0.1559, acc: 94.3223, loss_bbox: 0.2024, loss_mask: 0.2170, loss: 0.6293 +2022-09-22 18:30:30,132 - mmdet - INFO - Epoch [18][2750/7330] lr: 1.000e-04, eta: 17:09:55, time: 0.429, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0324, loss_cls: 0.1596, acc: 94.1577, loss_bbox: 0.2035, loss_mask: 0.2197, loss: 0.6391 +2022-09-22 18:30:51,430 - mmdet - INFO - Epoch [18][2800/7330] lr: 1.000e-04, eta: 17:09:30, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0310, loss_cls: 0.1683, acc: 93.8860, loss_bbox: 0.2103, loss_mask: 0.2142, loss: 0.6502 +2022-09-22 18:31:13,495 - mmdet - INFO - Epoch [18][2850/7330] lr: 1.000e-04, eta: 17:09:06, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0325, loss_cls: 0.1653, acc: 93.9441, loss_bbox: 0.2078, loss_mask: 0.2210, loss: 0.6496 +2022-09-22 18:31:35,093 - mmdet - INFO - Epoch [18][2900/7330] lr: 1.000e-04, eta: 17:08:42, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0307, loss_cls: 0.1602, acc: 94.1294, loss_bbox: 0.2080, loss_mask: 0.2203, loss: 0.6404 +2022-09-22 18:31:56,981 - mmdet - INFO - Epoch [18][2950/7330] lr: 1.000e-04, eta: 17:08:18, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0328, loss_cls: 0.1631, acc: 94.0083, loss_bbox: 0.2052, loss_mask: 0.2116, loss: 0.6366 +2022-09-22 18:32:18,820 - mmdet - INFO - Epoch [18][3000/7330] lr: 1.000e-04, eta: 17:07:54, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0308, loss_cls: 0.1489, acc: 94.4871, loss_bbox: 0.1881, loss_mask: 0.2096, loss: 0.6008 +2022-09-22 18:32:40,315 - mmdet - INFO - Epoch [18][3050/7330] lr: 1.000e-04, eta: 17:07:29, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0310, loss_cls: 0.1575, acc: 94.1709, loss_bbox: 0.2026, loss_mask: 0.2174, loss: 0.6300 +2022-09-22 18:33:02,244 - mmdet - INFO - Epoch [18][3100/7330] lr: 1.000e-04, eta: 17:07:05, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0319, loss_cls: 0.1708, acc: 93.8589, loss_bbox: 0.2107, loss_mask: 0.2211, loss: 0.6567 +2022-09-22 18:33:23,614 - mmdet - INFO - Epoch [18][3150/7330] lr: 1.000e-04, eta: 17:06:40, time: 0.428, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0322, loss_cls: 0.1639, acc: 94.0610, loss_bbox: 0.2027, loss_mask: 0.2146, loss: 0.6370 +2022-09-22 18:33:44,661 - mmdet - INFO - Epoch [18][3200/7330] lr: 1.000e-04, eta: 17:06:14, time: 0.421, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0321, loss_cls: 0.1681, acc: 93.8516, loss_bbox: 0.2070, loss_mask: 0.2149, loss: 0.6459 +2022-09-22 18:34:06,191 - mmdet - INFO - Epoch [18][3250/7330] lr: 1.000e-04, eta: 17:05:49, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0334, loss_cls: 0.1688, acc: 93.9465, loss_bbox: 0.2116, loss_mask: 0.2187, loss: 0.6555 +2022-09-22 18:34:27,570 - mmdet - INFO - Epoch [18][3300/7330] lr: 1.000e-04, eta: 17:05:24, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0307, loss_cls: 0.1543, acc: 94.3586, loss_bbox: 0.1964, loss_mask: 0.2127, loss: 0.6147 +2022-09-22 18:34:49,296 - mmdet - INFO - Epoch [18][3350/7330] lr: 1.000e-04, eta: 17:05:00, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0315, loss_cls: 0.1611, acc: 94.1475, loss_bbox: 0.2075, loss_mask: 0.2150, loss: 0.6367 +2022-09-22 18:35:10,807 - mmdet - INFO - Epoch [18][3400/7330] lr: 1.000e-04, eta: 17:04:35, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0313, loss_cls: 0.1655, acc: 93.9805, loss_bbox: 0.2042, loss_mask: 0.2151, loss: 0.6383 +2022-09-22 18:35:32,835 - mmdet - INFO - Epoch [18][3450/7330] lr: 1.000e-04, eta: 17:04:11, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0313, loss_cls: 0.1543, acc: 94.4419, loss_bbox: 0.1979, loss_mask: 0.2097, loss: 0.6140 +2022-09-22 18:35:54,417 - mmdet - INFO - Epoch [18][3500/7330] lr: 1.000e-04, eta: 17:03:46, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0319, loss_cls: 0.1650, acc: 93.9744, loss_bbox: 0.2100, loss_mask: 0.2189, loss: 0.6490 +2022-09-22 18:36:16,178 - mmdet - INFO - Epoch [18][3550/7330] lr: 1.000e-04, eta: 17:03:22, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0331, loss_cls: 0.1698, acc: 93.8140, loss_bbox: 0.2118, loss_mask: 0.2208, loss: 0.6600 +2022-09-22 18:36:37,584 - mmdet - INFO - Epoch [18][3600/7330] lr: 1.000e-04, eta: 17:02:57, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0311, loss_cls: 0.1601, acc: 94.2356, loss_bbox: 0.1996, loss_mask: 0.2137, loss: 0.6273 +2022-09-22 18:36:58,836 - mmdet - INFO - Epoch [18][3650/7330] lr: 1.000e-04, eta: 17:02:32, time: 0.425, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0327, loss_cls: 0.1650, acc: 94.0032, loss_bbox: 0.2056, loss_mask: 0.2164, loss: 0.6445 +2022-09-22 18:37:20,384 - mmdet - INFO - Epoch [18][3700/7330] lr: 1.000e-04, eta: 17:02:07, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0304, loss_cls: 0.1643, acc: 94.2085, loss_bbox: 0.2028, loss_mask: 0.2073, loss: 0.6265 +2022-09-22 18:37:42,187 - mmdet - INFO - Epoch [18][3750/7330] lr: 1.000e-04, eta: 17:01:43, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0320, loss_cls: 0.1622, acc: 94.1392, loss_bbox: 0.2046, loss_mask: 0.2175, loss: 0.6384 +2022-09-22 18:38:04,521 - mmdet - INFO - Epoch [18][3800/7330] lr: 1.000e-04, eta: 17:01:20, time: 0.447, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0318, loss_cls: 0.1624, acc: 94.1045, loss_bbox: 0.2022, loss_mask: 0.2147, loss: 0.6335 +2022-09-22 18:38:25,987 - mmdet - INFO - Epoch [18][3850/7330] lr: 1.000e-04, eta: 17:00:55, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0310, loss_cls: 0.1594, acc: 94.1306, loss_bbox: 0.2044, loss_mask: 0.2140, loss: 0.6301 +2022-09-22 18:38:48,017 - mmdet - INFO - Epoch [18][3900/7330] lr: 1.000e-04, eta: 17:00:31, time: 0.441, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0317, loss_cls: 0.1709, acc: 93.9302, loss_bbox: 0.2124, loss_mask: 0.2193, loss: 0.6580 +2022-09-22 18:39:09,426 - mmdet - INFO - Epoch [18][3950/7330] lr: 1.000e-04, eta: 17:00:06, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0322, loss_cls: 0.1602, acc: 94.2500, loss_bbox: 0.2009, loss_mask: 0.2154, loss: 0.6308 +2022-09-22 18:39:30,781 - mmdet - INFO - Epoch [18][4000/7330] lr: 1.000e-04, eta: 16:59:41, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0305, loss_cls: 0.1566, acc: 94.2571, loss_bbox: 0.1995, loss_mask: 0.2170, loss: 0.6231 +2022-09-22 18:39:52,420 - mmdet - INFO - Epoch [18][4050/7330] lr: 1.000e-04, eta: 16:59:17, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0323, loss_cls: 0.1710, acc: 93.9280, loss_bbox: 0.2071, loss_mask: 0.2166, loss: 0.6517 +2022-09-22 18:40:13,922 - mmdet - INFO - Epoch [18][4100/7330] lr: 1.000e-04, eta: 16:58:52, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0303, loss_cls: 0.1654, acc: 94.0215, loss_bbox: 0.2029, loss_mask: 0.2160, loss: 0.6378 +2022-09-22 18:40:35,817 - mmdet - INFO - Epoch [18][4150/7330] lr: 1.000e-04, eta: 16:58:28, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0326, loss_cls: 0.1707, acc: 93.8096, loss_bbox: 0.2104, loss_mask: 0.2187, loss: 0.6573 +2022-09-22 18:40:57,078 - mmdet - INFO - Epoch [18][4200/7330] lr: 1.000e-04, eta: 16:58:03, time: 0.425, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0304, loss_cls: 0.1624, acc: 94.1211, loss_bbox: 0.2016, loss_mask: 0.2147, loss: 0.6307 +2022-09-22 18:41:18,753 - mmdet - INFO - Epoch [18][4250/7330] lr: 1.000e-04, eta: 16:57:38, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0314, loss_cls: 0.1552, acc: 94.5193, loss_bbox: 0.1900, loss_mask: 0.2107, loss: 0.6095 +2022-09-22 18:41:40,110 - mmdet - INFO - Epoch [18][4300/7330] lr: 1.000e-04, eta: 16:57:13, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0307, loss_cls: 0.1364, acc: 94.9734, loss_bbox: 0.1797, loss_mask: 0.2046, loss: 0.5722 +2022-09-22 18:42:01,831 - mmdet - INFO - Epoch [18][4350/7330] lr: 1.000e-04, eta: 16:56:49, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0306, loss_cls: 0.1537, acc: 94.3706, loss_bbox: 0.1922, loss_mask: 0.2063, loss: 0.6056 +2022-09-22 18:42:23,915 - mmdet - INFO - Epoch [18][4400/7330] lr: 1.000e-04, eta: 16:56:25, time: 0.442, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0333, loss_cls: 0.1673, acc: 93.9988, loss_bbox: 0.2092, loss_mask: 0.2153, loss: 0.6486 +2022-09-22 18:42:45,803 - mmdet - INFO - Epoch [18][4450/7330] lr: 1.000e-04, eta: 16:56:01, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0317, loss_cls: 0.1697, acc: 93.7720, loss_bbox: 0.2143, loss_mask: 0.2239, loss: 0.6627 +2022-09-22 18:43:07,195 - mmdet - INFO - Epoch [18][4500/7330] lr: 1.000e-04, eta: 16:55:36, time: 0.428, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0333, loss_cls: 0.1668, acc: 93.8984, loss_bbox: 0.2084, loss_mask: 0.2114, loss: 0.6443 +2022-09-22 18:43:28,675 - mmdet - INFO - Epoch [18][4550/7330] lr: 1.000e-04, eta: 16:55:11, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0334, loss_cls: 0.1602, acc: 94.1001, loss_bbox: 0.2056, loss_mask: 0.2171, loss: 0.6420 +2022-09-22 18:43:50,335 - mmdet - INFO - Epoch [18][4600/7330] lr: 1.000e-04, eta: 16:54:47, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0299, loss_cls: 0.1569, acc: 94.3086, loss_bbox: 0.2030, loss_mask: 0.2163, loss: 0.6288 +2022-09-22 18:44:11,749 - mmdet - INFO - Epoch [18][4650/7330] lr: 1.000e-04, eta: 16:54:22, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0328, loss_cls: 0.1625, acc: 94.0557, loss_bbox: 0.2061, loss_mask: 0.2133, loss: 0.6364 +2022-09-22 18:44:33,172 - mmdet - INFO - Epoch [18][4700/7330] lr: 1.000e-04, eta: 16:53:57, time: 0.429, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0306, loss_cls: 0.1562, acc: 94.3618, loss_bbox: 0.1989, loss_mask: 0.2084, loss: 0.6151 +2022-09-22 18:44:54,876 - mmdet - INFO - Epoch [18][4750/7330] lr: 1.000e-04, eta: 16:53:33, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0318, loss_cls: 0.1691, acc: 93.9011, loss_bbox: 0.2086, loss_mask: 0.2182, loss: 0.6524 +2022-09-22 18:45:16,444 - mmdet - INFO - Epoch [18][4800/7330] lr: 1.000e-04, eta: 16:53:08, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0313, loss_cls: 0.1686, acc: 93.9985, loss_bbox: 0.2076, loss_mask: 0.2125, loss: 0.6443 +2022-09-22 18:45:38,327 - mmdet - INFO - Epoch [18][4850/7330] lr: 1.000e-04, eta: 16:52:44, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0318, loss_cls: 0.1685, acc: 93.9646, loss_bbox: 0.2081, loss_mask: 0.2164, loss: 0.6490 +2022-09-22 18:46:00,018 - mmdet - INFO - Epoch [18][4900/7330] lr: 1.000e-04, eta: 16:52:20, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0331, loss_cls: 0.1656, acc: 93.8796, loss_bbox: 0.2108, loss_mask: 0.2163, loss: 0.6485 +2022-09-22 18:46:21,405 - mmdet - INFO - Epoch [18][4950/7330] lr: 1.000e-04, eta: 16:51:55, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0306, loss_cls: 0.1646, acc: 94.0151, loss_bbox: 0.2023, loss_mask: 0.2130, loss: 0.6319 +2022-09-22 18:46:42,867 - mmdet - INFO - Epoch [18][5000/7330] lr: 1.000e-04, eta: 16:51:30, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0302, loss_cls: 0.1595, acc: 94.1431, loss_bbox: 0.1987, loss_mask: 0.2143, loss: 0.6239 +2022-09-22 18:47:04,752 - mmdet - INFO - Epoch [18][5050/7330] lr: 1.000e-04, eta: 16:51:07, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0309, loss_cls: 0.1656, acc: 94.0310, loss_bbox: 0.2050, loss_mask: 0.2163, loss: 0.6396 +2022-09-22 18:47:26,366 - mmdet - INFO - Epoch [18][5100/7330] lr: 1.000e-04, eta: 16:50:42, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0293, loss_cls: 0.1517, acc: 94.4580, loss_bbox: 0.1928, loss_mask: 0.2128, loss: 0.6052 +2022-09-22 18:47:47,745 - mmdet - INFO - Epoch [18][5150/7330] lr: 1.000e-04, eta: 16:50:17, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0312, loss_cls: 0.1671, acc: 93.8591, loss_bbox: 0.2146, loss_mask: 0.2170, loss: 0.6540 +2022-09-22 18:48:09,036 - mmdet - INFO - Epoch [18][5200/7330] lr: 1.000e-04, eta: 16:49:52, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0308, loss_cls: 0.1657, acc: 94.0708, loss_bbox: 0.2039, loss_mask: 0.2124, loss: 0.6335 +2022-09-22 18:48:30,503 - mmdet - INFO - Epoch [18][5250/7330] lr: 1.000e-04, eta: 16:49:27, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0310, loss_cls: 0.1712, acc: 93.7642, loss_bbox: 0.2123, loss_mask: 0.2202, loss: 0.6569 +2022-09-22 18:48:51,454 - mmdet - INFO - Epoch [18][5300/7330] lr: 1.000e-04, eta: 16:49:02, time: 0.419, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0294, loss_cls: 0.1643, acc: 94.1155, loss_bbox: 0.2046, loss_mask: 0.2140, loss: 0.6331 +2022-09-22 18:49:12,895 - mmdet - INFO - Epoch [18][5350/7330] lr: 1.000e-04, eta: 16:48:37, time: 0.429, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0306, loss_cls: 0.1616, acc: 94.1526, loss_bbox: 0.2009, loss_mask: 0.2201, loss: 0.6359 +2022-09-22 18:49:34,973 - mmdet - INFO - Epoch [18][5400/7330] lr: 1.000e-04, eta: 16:48:13, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0323, loss_cls: 0.1733, acc: 93.6760, loss_bbox: 0.2126, loss_mask: 0.2200, loss: 0.6621 +2022-09-22 18:49:56,571 - mmdet - INFO - Epoch [18][5450/7330] lr: 1.000e-04, eta: 16:47:49, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0301, loss_cls: 0.1633, acc: 94.2051, loss_bbox: 0.2010, loss_mask: 0.2141, loss: 0.6311 +2022-09-22 18:50:18,134 - mmdet - INFO - Epoch [18][5500/7330] lr: 1.000e-04, eta: 16:47:24, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0319, loss_cls: 0.1660, acc: 94.0723, loss_bbox: 0.2066, loss_mask: 0.2157, loss: 0.6431 +2022-09-22 18:50:39,884 - mmdet - INFO - Epoch [18][5550/7330] lr: 1.000e-04, eta: 16:47:00, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0339, loss_cls: 0.1707, acc: 93.7957, loss_bbox: 0.2167, loss_mask: 0.2195, loss: 0.6653 +2022-09-22 18:51:00,960 - mmdet - INFO - Epoch [18][5600/7330] lr: 1.000e-04, eta: 16:46:35, time: 0.421, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0303, loss_cls: 0.1621, acc: 94.0022, loss_bbox: 0.2091, loss_mask: 0.2171, loss: 0.6405 +2022-09-22 18:51:22,330 - mmdet - INFO - Epoch [18][5650/7330] lr: 1.000e-04, eta: 16:46:10, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0325, loss_cls: 0.1678, acc: 93.9468, loss_bbox: 0.2124, loss_mask: 0.2163, loss: 0.6515 +2022-09-22 18:51:44,323 - mmdet - INFO - Epoch [18][5700/7330] lr: 1.000e-04, eta: 16:45:46, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0309, loss_cls: 0.1604, acc: 94.1609, loss_bbox: 0.1981, loss_mask: 0.2122, loss: 0.6238 +2022-09-22 18:52:06,044 - mmdet - INFO - Epoch [18][5750/7330] lr: 1.000e-04, eta: 16:45:22, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1590, acc: 94.1672, loss_bbox: 0.2037, loss_mask: 0.2123, loss: 0.6281 +2022-09-22 18:52:27,612 - mmdet - INFO - Epoch [18][5800/7330] lr: 1.000e-04, eta: 16:44:58, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0289, loss_cls: 0.1607, acc: 94.1338, loss_bbox: 0.2079, loss_mask: 0.2187, loss: 0.6401 +2022-09-22 18:52:49,508 - mmdet - INFO - Epoch [18][5850/7330] lr: 1.000e-04, eta: 16:44:34, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0319, loss_cls: 0.1617, acc: 94.0518, loss_bbox: 0.2055, loss_mask: 0.2133, loss: 0.6356 +2022-09-22 18:53:11,250 - mmdet - INFO - Epoch [18][5900/7330] lr: 1.000e-04, eta: 16:44:09, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0289, loss_cls: 0.1607, acc: 94.3403, loss_bbox: 0.2004, loss_mask: 0.2149, loss: 0.6260 +2022-09-22 18:53:32,837 - mmdet - INFO - Epoch [18][5950/7330] lr: 1.000e-04, eta: 16:43:45, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0312, loss_cls: 0.1661, acc: 93.9910, loss_bbox: 0.2093, loss_mask: 0.2186, loss: 0.6470 +2022-09-22 18:53:54,920 - mmdet - INFO - Epoch [18][6000/7330] lr: 1.000e-04, eta: 16:43:22, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0315, loss_cls: 0.1647, acc: 94.0725, loss_bbox: 0.2045, loss_mask: 0.2165, loss: 0.6388 +2022-09-22 18:54:16,701 - mmdet - INFO - Epoch [18][6050/7330] lr: 1.000e-04, eta: 16:42:57, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0322, loss_cls: 0.1702, acc: 93.8647, loss_bbox: 0.2128, loss_mask: 0.2141, loss: 0.6536 +2022-09-22 18:54:38,378 - mmdet - INFO - Epoch [18][6100/7330] lr: 1.000e-04, eta: 16:42:33, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0298, loss_cls: 0.1565, acc: 94.2981, loss_bbox: 0.2010, loss_mask: 0.2103, loss: 0.6195 +2022-09-22 18:55:00,176 - mmdet - INFO - Epoch [18][6150/7330] lr: 1.000e-04, eta: 16:42:09, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0308, loss_cls: 0.1643, acc: 94.0459, loss_bbox: 0.2092, loss_mask: 0.2124, loss: 0.6377 +2022-09-22 18:55:22,214 - mmdet - INFO - Epoch [18][6200/7330] lr: 1.000e-04, eta: 16:41:46, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0330, loss_cls: 0.1596, acc: 94.1665, loss_bbox: 0.2050, loss_mask: 0.2128, loss: 0.6341 +2022-09-22 18:55:44,407 - mmdet - INFO - Epoch [18][6250/7330] lr: 1.000e-04, eta: 16:41:22, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0318, loss_cls: 0.1637, acc: 93.9966, loss_bbox: 0.2040, loss_mask: 0.2177, loss: 0.6389 +2022-09-22 18:56:06,431 - mmdet - INFO - Epoch [18][6300/7330] lr: 1.000e-04, eta: 16:40:59, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0315, loss_cls: 0.1685, acc: 93.9094, loss_bbox: 0.2139, loss_mask: 0.2181, loss: 0.6546 +2022-09-22 18:56:28,380 - mmdet - INFO - Epoch [18][6350/7330] lr: 1.000e-04, eta: 16:40:35, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0299, loss_cls: 0.1529, acc: 94.3604, loss_bbox: 0.1928, loss_mask: 0.2156, loss: 0.6144 +2022-09-22 18:56:50,821 - mmdet - INFO - Epoch [18][6400/7330] lr: 1.000e-04, eta: 16:40:12, time: 0.449, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0338, loss_cls: 0.1703, acc: 93.7754, loss_bbox: 0.2158, loss_mask: 0.2233, loss: 0.6682 +2022-09-22 18:57:12,664 - mmdet - INFO - Epoch [18][6450/7330] lr: 1.000e-04, eta: 16:39:48, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0323, loss_cls: 0.1754, acc: 93.7534, loss_bbox: 0.2174, loss_mask: 0.2214, loss: 0.6694 +2022-09-22 18:57:34,574 - mmdet - INFO - Epoch [18][6500/7330] lr: 1.000e-04, eta: 16:39:24, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0329, loss_cls: 0.1678, acc: 93.9397, loss_bbox: 0.2119, loss_mask: 0.2131, loss: 0.6496 +2022-09-22 18:57:56,457 - mmdet - INFO - Epoch [18][6550/7330] lr: 1.000e-04, eta: 16:39:00, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0309, loss_cls: 0.1561, acc: 94.3064, loss_bbox: 0.1999, loss_mask: 0.2139, loss: 0.6226 +2022-09-22 18:58:18,438 - mmdet - INFO - Epoch [18][6600/7330] lr: 1.000e-04, eta: 16:38:37, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0327, loss_cls: 0.1731, acc: 93.8335, loss_bbox: 0.2123, loss_mask: 0.2231, loss: 0.6666 +2022-09-22 18:58:40,199 - mmdet - INFO - Epoch [18][6650/7330] lr: 1.000e-04, eta: 16:38:13, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0345, loss_cls: 0.1761, acc: 93.4780, loss_bbox: 0.2220, loss_mask: 0.2248, loss: 0.6822 +2022-09-22 18:59:02,232 - mmdet - INFO - Epoch [18][6700/7330] lr: 1.000e-04, eta: 16:37:49, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0327, loss_cls: 0.1671, acc: 94.0139, loss_bbox: 0.2108, loss_mask: 0.2157, loss: 0.6509 +2022-09-22 18:59:24,307 - mmdet - INFO - Epoch [18][6750/7330] lr: 1.000e-04, eta: 16:37:26, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0307, loss_cls: 0.1574, acc: 94.2590, loss_bbox: 0.2005, loss_mask: 0.2138, loss: 0.6245 +2022-09-22 18:59:45,925 - mmdet - INFO - Epoch [18][6800/7330] lr: 1.000e-04, eta: 16:37:01, time: 0.432, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0336, loss_cls: 0.1648, acc: 93.9258, loss_bbox: 0.2131, loss_mask: 0.2236, loss: 0.6581 +2022-09-22 19:00:07,070 - mmdet - INFO - Epoch [18][6850/7330] lr: 1.000e-04, eta: 16:36:36, time: 0.423, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0294, loss_cls: 0.1571, acc: 94.2847, loss_bbox: 0.1984, loss_mask: 0.2118, loss: 0.6177 +2022-09-22 19:00:28,862 - mmdet - INFO - Epoch [18][6900/7330] lr: 1.000e-04, eta: 16:36:12, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0313, loss_cls: 0.1536, acc: 94.4819, loss_bbox: 0.1964, loss_mask: 0.2128, loss: 0.6181 +2022-09-22 19:00:51,043 - mmdet - INFO - Epoch [18][6950/7330] lr: 1.000e-04, eta: 16:35:49, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0329, loss_cls: 0.1587, acc: 94.2893, loss_bbox: 0.1982, loss_mask: 0.2076, loss: 0.6229 +2022-09-22 19:01:12,699 - mmdet - INFO - Epoch [18][7000/7330] lr: 1.000e-04, eta: 16:35:24, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0303, loss_cls: 0.1567, acc: 94.2419, loss_bbox: 0.2012, loss_mask: 0.2104, loss: 0.6197 +2022-09-22 19:01:34,312 - mmdet - INFO - Epoch [18][7050/7330] lr: 1.000e-04, eta: 16:35:00, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0308, loss_cls: 0.1644, acc: 94.0244, loss_bbox: 0.2060, loss_mask: 0.2176, loss: 0.6421 +2022-09-22 19:01:56,037 - mmdet - INFO - Epoch [18][7100/7330] lr: 1.000e-04, eta: 16:34:36, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0337, loss_cls: 0.1661, acc: 93.9331, loss_bbox: 0.2046, loss_mask: 0.2148, loss: 0.6447 +2022-09-22 19:02:17,871 - mmdet - INFO - Epoch [18][7150/7330] lr: 1.000e-04, eta: 16:34:12, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0336, loss_cls: 0.1732, acc: 93.7156, loss_bbox: 0.2135, loss_mask: 0.2197, loss: 0.6653 +2022-09-22 19:02:39,636 - mmdet - INFO - Epoch [18][7200/7330] lr: 1.000e-04, eta: 16:33:48, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0325, loss_cls: 0.1675, acc: 93.9656, loss_bbox: 0.2062, loss_mask: 0.2142, loss: 0.6426 +2022-09-22 19:03:01,233 - mmdet - INFO - Epoch [18][7250/7330] lr: 1.000e-04, eta: 16:33:24, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0289, loss_cls: 0.1605, acc: 94.2000, loss_bbox: 0.2022, loss_mask: 0.2164, loss: 0.6289 +2022-09-22 19:03:22,982 - mmdet - INFO - Epoch [18][7300/7330] lr: 1.000e-04, eta: 16:33:00, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0337, loss_cls: 0.1731, acc: 93.6943, loss_bbox: 0.2166, loss_mask: 0.2212, loss: 0.6696 +2022-09-22 19:03:46,013 - mmdet - INFO - Saving checkpoint at 18 epochs +2022-09-22 19:05:55,748 - mmdet - INFO - Evaluating bbox... +2022-09-22 19:06:22,909 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.480 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.705 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.527 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.329 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.525 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.619 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.442 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.652 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.757 + +2022-09-22 19:06:22,909 - mmdet - INFO - Evaluating segm... +2022-09-22 19:06:51,893 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.430 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.676 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.464 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.248 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.469 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.623 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.553 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.553 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.553 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.379 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.717 + +2022-09-22 19:06:52,446 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 19:06:52,448 - mmdet - INFO - Epoch(val) [18][625] bbox_mAP: 0.4800, bbox_mAP_50: 0.7050, bbox_mAP_75: 0.5270, bbox_mAP_s: 0.3290, bbox_mAP_m: 0.5250, bbox_mAP_l: 0.6190, bbox_mAP_copypaste: 0.480 0.705 0.527 0.329 0.525 0.619, segm_mAP: 0.4300, segm_mAP_50: 0.6760, segm_mAP_75: 0.4640, segm_mAP_s: 0.2480, segm_mAP_m: 0.4690, segm_mAP_l: 0.6230, segm_mAP_copypaste: 0.430 0.676 0.464 0.248 0.469 0.623 +2022-09-22 19:09:13,786 - mmdet - INFO - Epoch [19][50/7330] lr: 1.000e-04, eta: 16:35:33, time: 2.826, data_time: 2.369, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0311, loss_cls: 0.1580, acc: 94.1619, loss_bbox: 0.2016, loss_mask: 0.2107, loss: 0.6220 +2022-09-22 19:09:36,536 - mmdet - INFO - Epoch [19][100/7330] lr: 1.000e-04, eta: 16:35:10, time: 0.456, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0320, loss_cls: 0.1638, acc: 94.0640, loss_bbox: 0.2057, loss_mask: 0.2171, loss: 0.6411 +2022-09-22 19:09:58,649 - mmdet - INFO - Epoch [19][150/7330] lr: 1.000e-04, eta: 16:34:47, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0288, loss_cls: 0.1545, acc: 94.4714, loss_bbox: 0.1951, loss_mask: 0.2068, loss: 0.6064 +2022-09-22 19:10:21,112 - mmdet - INFO - Epoch [19][200/7330] lr: 1.000e-04, eta: 16:34:24, time: 0.449, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0323, loss_cls: 0.1617, acc: 94.1265, loss_bbox: 0.2065, loss_mask: 0.2110, loss: 0.6337 +2022-09-22 19:10:43,889 - mmdet - INFO - Epoch [19][250/7330] lr: 1.000e-04, eta: 16:34:01, time: 0.455, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0346, loss_cls: 0.1674, acc: 93.8989, loss_bbox: 0.2121, loss_mask: 0.2220, loss: 0.6601 +2022-09-22 19:11:06,662 - mmdet - INFO - Epoch [19][300/7330] lr: 1.000e-04, eta: 16:33:39, time: 0.456, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0334, loss_cls: 0.1641, acc: 94.1741, loss_bbox: 0.2082, loss_mask: 0.2220, loss: 0.6502 +2022-09-22 19:11:28,821 - mmdet - INFO - Epoch [19][350/7330] lr: 1.000e-04, eta: 16:33:15, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0320, loss_cls: 0.1634, acc: 94.0232, loss_bbox: 0.2063, loss_mask: 0.2122, loss: 0.6366 +2022-09-22 19:11:51,241 - mmdet - INFO - Epoch [19][400/7330] lr: 1.000e-04, eta: 16:32:52, time: 0.448, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0328, loss_cls: 0.1628, acc: 94.0747, loss_bbox: 0.2079, loss_mask: 0.2191, loss: 0.6473 +2022-09-22 19:12:13,593 - mmdet - INFO - Epoch [19][450/7330] lr: 1.000e-04, eta: 16:32:29, time: 0.447, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0307, loss_cls: 0.1577, acc: 94.2727, loss_bbox: 0.1988, loss_mask: 0.2096, loss: 0.6196 +2022-09-22 19:12:35,600 - mmdet - INFO - Epoch [19][500/7330] lr: 1.000e-04, eta: 16:32:05, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0341, loss_cls: 0.1664, acc: 93.9124, loss_bbox: 0.2087, loss_mask: 0.2148, loss: 0.6480 +2022-09-22 19:12:58,294 - mmdet - INFO - Epoch [19][550/7330] lr: 1.000e-04, eta: 16:31:43, time: 0.454, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0305, loss_cls: 0.1568, acc: 94.3816, loss_bbox: 0.1990, loss_mask: 0.2103, loss: 0.6177 +2022-09-22 19:13:20,537 - mmdet - INFO - Epoch [19][600/7330] lr: 1.000e-04, eta: 16:31:19, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0330, loss_cls: 0.1625, acc: 94.1030, loss_bbox: 0.2089, loss_mask: 0.2116, loss: 0.6405 +2022-09-22 19:13:42,775 - mmdet - INFO - Epoch [19][650/7330] lr: 1.000e-04, eta: 16:30:56, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0317, loss_cls: 0.1563, acc: 94.3440, loss_bbox: 0.1979, loss_mask: 0.2135, loss: 0.6222 +2022-09-22 19:14:04,838 - mmdet - INFO - Epoch [19][700/7330] lr: 1.000e-04, eta: 16:30:32, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0341, loss_cls: 0.1680, acc: 93.8784, loss_bbox: 0.2154, loss_mask: 0.2143, loss: 0.6586 +2022-09-22 19:14:27,666 - mmdet - INFO - Epoch [19][750/7330] lr: 1.000e-04, eta: 16:30:10, time: 0.457, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0325, loss_cls: 0.1611, acc: 94.1387, loss_bbox: 0.2085, loss_mask: 0.2172, loss: 0.6421 +2022-09-22 19:14:49,368 - mmdet - INFO - Epoch [19][800/7330] lr: 1.000e-04, eta: 16:29:46, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0301, loss_cls: 0.1551, acc: 94.2888, loss_bbox: 0.1997, loss_mask: 0.2129, loss: 0.6177 +2022-09-22 19:15:10,904 - mmdet - INFO - Epoch [19][850/7330] lr: 1.000e-04, eta: 16:29:21, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0298, loss_cls: 0.1520, acc: 94.4634, loss_bbox: 0.1929, loss_mask: 0.2149, loss: 0.6110 +2022-09-22 19:15:32,736 - mmdet - INFO - Epoch [19][900/7330] lr: 1.000e-04, eta: 16:28:57, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0333, loss_cls: 0.1597, acc: 94.2190, loss_bbox: 0.1967, loss_mask: 0.2114, loss: 0.6268 +2022-09-22 19:15:54,379 - mmdet - INFO - Epoch [19][950/7330] lr: 1.000e-04, eta: 16:28:33, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0306, loss_cls: 0.1606, acc: 94.1289, loss_bbox: 0.2038, loss_mask: 0.2083, loss: 0.6259 +2022-09-22 19:16:16,324 - mmdet - INFO - Epoch [19][1000/7330] lr: 1.000e-04, eta: 16:28:09, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0308, loss_cls: 0.1629, acc: 94.0330, loss_bbox: 0.2076, loss_mask: 0.2129, loss: 0.6362 +2022-09-22 19:16:38,387 - mmdet - INFO - Epoch [19][1050/7330] lr: 1.000e-04, eta: 16:27:45, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0297, loss_cls: 0.1444, acc: 94.7568, loss_bbox: 0.1850, loss_mask: 0.2056, loss: 0.5860 +2022-09-22 19:17:00,486 - mmdet - INFO - Epoch [19][1100/7330] lr: 1.000e-04, eta: 16:27:22, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0321, loss_cls: 0.1545, acc: 94.2971, loss_bbox: 0.2004, loss_mask: 0.2127, loss: 0.6220 +2022-09-22 19:17:22,661 - mmdet - INFO - Epoch [19][1150/7330] lr: 1.000e-04, eta: 16:26:58, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0324, loss_cls: 0.1667, acc: 93.9028, loss_bbox: 0.2079, loss_mask: 0.2130, loss: 0.6440 +2022-09-22 19:17:44,570 - mmdet - INFO - Epoch [19][1200/7330] lr: 1.000e-04, eta: 16:26:34, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0323, loss_cls: 0.1647, acc: 94.0310, loss_bbox: 0.2052, loss_mask: 0.2124, loss: 0.6378 +2022-09-22 19:18:06,310 - mmdet - INFO - Epoch [19][1250/7330] lr: 1.000e-04, eta: 16:26:10, time: 0.435, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0284, loss_cls: 0.1543, acc: 94.4521, loss_bbox: 0.1973, loss_mask: 0.2095, loss: 0.6095 +2022-09-22 19:18:28,362 - mmdet - INFO - Epoch [19][1300/7330] lr: 1.000e-04, eta: 16:25:46, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0327, loss_cls: 0.1735, acc: 93.7410, loss_bbox: 0.2118, loss_mask: 0.2143, loss: 0.6587 +2022-09-22 19:18:50,250 - mmdet - INFO - Epoch [19][1350/7330] lr: 1.000e-04, eta: 16:25:22, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0306, loss_cls: 0.1588, acc: 94.1504, loss_bbox: 0.2064, loss_mask: 0.2153, loss: 0.6323 +2022-09-22 19:19:12,044 - mmdet - INFO - Epoch [19][1400/7330] lr: 1.000e-04, eta: 16:24:58, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0291, loss_cls: 0.1570, acc: 94.2329, loss_bbox: 0.1988, loss_mask: 0.2087, loss: 0.6149 +2022-09-22 19:19:33,865 - mmdet - INFO - Epoch [19][1450/7330] lr: 1.000e-04, eta: 16:24:34, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0321, loss_cls: 0.1644, acc: 93.9353, loss_bbox: 0.2069, loss_mask: 0.2162, loss: 0.6419 +2022-09-22 19:19:56,190 - mmdet - INFO - Epoch [19][1500/7330] lr: 1.000e-04, eta: 16:24:11, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0315, loss_cls: 0.1534, acc: 94.3682, loss_bbox: 0.1985, loss_mask: 0.2108, loss: 0.6187 +2022-09-22 19:20:18,290 - mmdet - INFO - Epoch [19][1550/7330] lr: 1.000e-04, eta: 16:23:47, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0299, loss_cls: 0.1646, acc: 94.1248, loss_bbox: 0.2024, loss_mask: 0.2163, loss: 0.6357 +2022-09-22 19:20:40,032 - mmdet - INFO - Epoch [19][1600/7330] lr: 1.000e-04, eta: 16:23:23, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0312, loss_cls: 0.1423, acc: 94.8071, loss_bbox: 0.1896, loss_mask: 0.2094, loss: 0.5939 +2022-09-22 19:21:01,813 - mmdet - INFO - Epoch [19][1650/7330] lr: 1.000e-04, eta: 16:22:59, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0313, loss_cls: 0.1564, acc: 94.2046, loss_bbox: 0.2050, loss_mask: 0.2216, loss: 0.6369 +2022-09-22 19:21:23,618 - mmdet - INFO - Epoch [19][1700/7330] lr: 1.000e-04, eta: 16:22:35, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0340, loss_cls: 0.1606, acc: 94.0171, loss_bbox: 0.2077, loss_mask: 0.2199, loss: 0.6454 +2022-09-22 19:21:46,034 - mmdet - INFO - Epoch [19][1750/7330] lr: 1.000e-04, eta: 16:22:12, time: 0.449, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0318, loss_cls: 0.1359, acc: 95.0281, loss_bbox: 0.1762, loss_mask: 0.2164, loss: 0.5847 +2022-09-22 19:22:07,955 - mmdet - INFO - Epoch [19][1800/7330] lr: 1.000e-04, eta: 16:21:48, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0320, loss_cls: 0.1640, acc: 94.0969, loss_bbox: 0.2022, loss_mask: 0.2157, loss: 0.6381 +2022-09-22 19:22:29,987 - mmdet - INFO - Epoch [19][1850/7330] lr: 1.000e-04, eta: 16:21:25, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0339, loss_cls: 0.1615, acc: 94.0984, loss_bbox: 0.2029, loss_mask: 0.2104, loss: 0.6303 +2022-09-22 19:22:51,895 - mmdet - INFO - Epoch [19][1900/7330] lr: 1.000e-04, eta: 16:21:01, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0326, loss_cls: 0.1701, acc: 93.8801, loss_bbox: 0.2125, loss_mask: 0.2133, loss: 0.6520 +2022-09-22 19:23:13,505 - mmdet - INFO - Epoch [19][1950/7330] lr: 1.000e-04, eta: 16:20:36, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0314, loss_cls: 0.1553, acc: 94.3286, loss_bbox: 0.2015, loss_mask: 0.2082, loss: 0.6191 +2022-09-22 19:23:35,040 - mmdet - INFO - Epoch [19][2000/7330] lr: 1.000e-04, eta: 16:20:12, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0321, loss_cls: 0.1628, acc: 93.9915, loss_bbox: 0.2101, loss_mask: 0.2165, loss: 0.6453 +2022-09-22 19:23:56,853 - mmdet - INFO - Epoch [19][2050/7330] lr: 1.000e-04, eta: 16:19:48, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0314, loss_cls: 0.1598, acc: 94.1462, loss_bbox: 0.2022, loss_mask: 0.2097, loss: 0.6261 +2022-09-22 19:24:19,048 - mmdet - INFO - Epoch [19][2100/7330] lr: 1.000e-04, eta: 16:19:24, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0324, loss_cls: 0.1574, acc: 94.2705, loss_bbox: 0.2009, loss_mask: 0.2104, loss: 0.6240 +2022-09-22 19:24:40,553 - mmdet - INFO - Epoch [19][2150/7330] lr: 1.000e-04, eta: 16:19:00, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0297, loss_cls: 0.1545, acc: 94.2495, loss_bbox: 0.1952, loss_mask: 0.2073, loss: 0.6082 +2022-09-22 19:25:02,229 - mmdet - INFO - Epoch [19][2200/7330] lr: 1.000e-04, eta: 16:18:35, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0297, loss_cls: 0.1488, acc: 94.5149, loss_bbox: 0.1926, loss_mask: 0.2078, loss: 0.6012 +2022-09-22 19:25:23,795 - mmdet - INFO - Epoch [19][2250/7330] lr: 1.000e-04, eta: 16:18:11, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0314, loss_cls: 0.1600, acc: 94.3074, loss_bbox: 0.2003, loss_mask: 0.2168, loss: 0.6314 +2022-09-22 19:25:45,725 - mmdet - INFO - Epoch [19][2300/7330] lr: 1.000e-04, eta: 16:17:47, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0319, loss_cls: 0.1590, acc: 94.0767, loss_bbox: 0.2042, loss_mask: 0.2170, loss: 0.6341 +2022-09-22 19:26:07,608 - mmdet - INFO - Epoch [19][2350/7330] lr: 1.000e-04, eta: 16:17:23, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0308, loss_cls: 0.1588, acc: 94.1765, loss_bbox: 0.2064, loss_mask: 0.2115, loss: 0.6292 +2022-09-22 19:26:29,612 - mmdet - INFO - Epoch [19][2400/7330] lr: 1.000e-04, eta: 16:17:00, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0318, loss_cls: 0.1613, acc: 94.1416, loss_bbox: 0.2044, loss_mask: 0.2128, loss: 0.6335 +2022-09-22 19:26:51,295 - mmdet - INFO - Epoch [19][2450/7330] lr: 1.000e-04, eta: 16:16:35, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0335, loss_cls: 0.1673, acc: 93.8638, loss_bbox: 0.2121, loss_mask: 0.2127, loss: 0.6477 +2022-09-22 19:27:13,951 - mmdet - INFO - Epoch [19][2500/7330] lr: 1.000e-04, eta: 16:16:13, time: 0.453, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0353, loss_cls: 0.1636, acc: 93.9702, loss_bbox: 0.2090, loss_mask: 0.2145, loss: 0.6463 +2022-09-22 19:27:35,976 - mmdet - INFO - Epoch [19][2550/7330] lr: 1.000e-04, eta: 16:15:49, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0324, loss_cls: 0.1606, acc: 94.0569, loss_bbox: 0.2093, loss_mask: 0.2133, loss: 0.6373 +2022-09-22 19:27:58,049 - mmdet - INFO - Epoch [19][2600/7330] lr: 1.000e-04, eta: 16:15:26, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1528, acc: 94.3223, loss_bbox: 0.1990, loss_mask: 0.2072, loss: 0.6107 +2022-09-22 19:28:20,254 - mmdet - INFO - Epoch [19][2650/7330] lr: 1.000e-04, eta: 16:15:02, time: 0.444, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0332, loss_cls: 0.1642, acc: 93.9932, loss_bbox: 0.2058, loss_mask: 0.2127, loss: 0.6390 +2022-09-22 19:28:42,096 - mmdet - INFO - Epoch [19][2700/7330] lr: 1.000e-04, eta: 16:14:38, time: 0.437, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0318, loss_cls: 0.1671, acc: 93.9250, loss_bbox: 0.2019, loss_mask: 0.2097, loss: 0.6330 +2022-09-22 19:29:04,151 - mmdet - INFO - Epoch [19][2750/7330] lr: 1.000e-04, eta: 16:14:15, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0307, loss_cls: 0.1576, acc: 94.3301, loss_bbox: 0.2022, loss_mask: 0.2116, loss: 0.6232 +2022-09-22 19:29:26,250 - mmdet - INFO - Epoch [19][2800/7330] lr: 1.000e-04, eta: 16:13:51, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0300, loss_cls: 0.1610, acc: 94.1609, loss_bbox: 0.1965, loss_mask: 0.2095, loss: 0.6172 +2022-09-22 19:29:47,931 - mmdet - INFO - Epoch [19][2850/7330] lr: 1.000e-04, eta: 16:13:27, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0306, loss_cls: 0.1577, acc: 94.3442, loss_bbox: 0.1964, loss_mask: 0.2127, loss: 0.6197 +2022-09-22 19:30:09,487 - mmdet - INFO - Epoch [19][2900/7330] lr: 1.000e-04, eta: 16:13:03, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0285, loss_cls: 0.1572, acc: 94.3318, loss_bbox: 0.1906, loss_mask: 0.2070, loss: 0.6036 +2022-09-22 19:30:31,416 - mmdet - INFO - Epoch [19][2950/7330] lr: 1.000e-04, eta: 16:12:39, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0308, loss_cls: 0.1659, acc: 93.9526, loss_bbox: 0.2108, loss_mask: 0.2116, loss: 0.6415 +2022-09-22 19:30:53,376 - mmdet - INFO - Epoch [19][3000/7330] lr: 1.000e-04, eta: 16:12:15, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0331, loss_cls: 0.1666, acc: 93.8735, loss_bbox: 0.2100, loss_mask: 0.2193, loss: 0.6544 +2022-09-22 19:31:14,981 - mmdet - INFO - Epoch [19][3050/7330] lr: 1.000e-04, eta: 16:11:51, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0321, loss_cls: 0.1594, acc: 94.2795, loss_bbox: 0.2022, loss_mask: 0.2135, loss: 0.6293 +2022-09-22 19:31:36,866 - mmdet - INFO - Epoch [19][3100/7330] lr: 1.000e-04, eta: 16:11:27, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0298, loss_cls: 0.1505, acc: 94.5220, loss_bbox: 0.1913, loss_mask: 0.2044, loss: 0.5951 +2022-09-22 19:31:58,446 - mmdet - INFO - Epoch [19][3150/7330] lr: 1.000e-04, eta: 16:11:02, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0301, loss_cls: 0.1606, acc: 93.9766, loss_bbox: 0.2063, loss_mask: 0.2144, loss: 0.6332 +2022-09-22 19:32:20,389 - mmdet - INFO - Epoch [19][3200/7330] lr: 1.000e-04, eta: 16:10:39, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0315, loss_cls: 0.1669, acc: 93.9795, loss_bbox: 0.2113, loss_mask: 0.2164, loss: 0.6474 +2022-09-22 19:32:42,954 - mmdet - INFO - Epoch [19][3250/7330] lr: 1.000e-04, eta: 16:10:16, time: 0.451, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0329, loss_cls: 0.1652, acc: 94.0166, loss_bbox: 0.2066, loss_mask: 0.2159, loss: 0.6441 +2022-09-22 19:33:05,102 - mmdet - INFO - Epoch [19][3300/7330] lr: 1.000e-04, eta: 16:09:53, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0323, loss_cls: 0.1606, acc: 94.0781, loss_bbox: 0.2056, loss_mask: 0.2186, loss: 0.6402 +2022-09-22 19:33:26,778 - mmdet - INFO - Epoch [19][3350/7330] lr: 1.000e-04, eta: 16:09:28, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0309, loss_cls: 0.1595, acc: 94.1477, loss_bbox: 0.2031, loss_mask: 0.2124, loss: 0.6272 +2022-09-22 19:33:48,658 - mmdet - INFO - Epoch [19][3400/7330] lr: 1.000e-04, eta: 16:09:04, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0336, loss_cls: 0.1678, acc: 93.9128, loss_bbox: 0.2083, loss_mask: 0.2166, loss: 0.6503 +2022-09-22 19:34:10,360 - mmdet - INFO - Epoch [19][3450/7330] lr: 1.000e-04, eta: 16:08:40, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0312, loss_cls: 0.1638, acc: 93.9780, loss_bbox: 0.2070, loss_mask: 0.2139, loss: 0.6377 +2022-09-22 19:34:32,146 - mmdet - INFO - Epoch [19][3500/7330] lr: 1.000e-04, eta: 16:08:16, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0304, loss_cls: 0.1605, acc: 94.1306, loss_bbox: 0.2021, loss_mask: 0.2151, loss: 0.6300 +2022-09-22 19:34:54,489 - mmdet - INFO - Epoch [19][3550/7330] lr: 1.000e-04, eta: 16:07:53, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0350, loss_cls: 0.1731, acc: 93.7412, loss_bbox: 0.2122, loss_mask: 0.2188, loss: 0.6643 +2022-09-22 19:35:16,381 - mmdet - INFO - Epoch [19][3600/7330] lr: 1.000e-04, eta: 16:07:29, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0314, loss_cls: 0.1593, acc: 94.2261, loss_bbox: 0.2036, loss_mask: 0.2135, loss: 0.6298 +2022-09-22 19:35:38,285 - mmdet - INFO - Epoch [19][3650/7330] lr: 1.000e-04, eta: 16:07:06, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0313, loss_cls: 0.1585, acc: 94.1558, loss_bbox: 0.2090, loss_mask: 0.2169, loss: 0.6373 +2022-09-22 19:36:00,102 - mmdet - INFO - Epoch [19][3700/7330] lr: 1.000e-04, eta: 16:06:42, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0304, loss_cls: 0.1550, acc: 94.3123, loss_bbox: 0.1977, loss_mask: 0.2084, loss: 0.6126 +2022-09-22 19:36:21,989 - mmdet - INFO - Epoch [19][3750/7330] lr: 1.000e-04, eta: 16:06:18, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0320, loss_cls: 0.1671, acc: 93.9402, loss_bbox: 0.2116, loss_mask: 0.2149, loss: 0.6479 +2022-09-22 19:36:43,764 - mmdet - INFO - Epoch [19][3800/7330] lr: 1.000e-04, eta: 16:05:54, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0316, loss_cls: 0.1667, acc: 93.9133, loss_bbox: 0.2102, loss_mask: 0.2172, loss: 0.6485 +2022-09-22 19:37:05,717 - mmdet - INFO - Epoch [19][3850/7330] lr: 1.000e-04, eta: 16:05:30, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0336, loss_cls: 0.1672, acc: 93.9961, loss_bbox: 0.2025, loss_mask: 0.2147, loss: 0.6435 +2022-09-22 19:37:27,940 - mmdet - INFO - Epoch [19][3900/7330] lr: 1.000e-04, eta: 16:05:07, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0304, loss_cls: 0.1557, acc: 94.4180, loss_bbox: 0.1963, loss_mask: 0.2089, loss: 0.6150 +2022-09-22 19:37:49,828 - mmdet - INFO - Epoch [19][3950/7330] lr: 1.000e-04, eta: 16:04:43, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0325, loss_cls: 0.1593, acc: 94.1250, loss_bbox: 0.1991, loss_mask: 0.2162, loss: 0.6317 +2022-09-22 19:38:11,832 - mmdet - INFO - Epoch [19][4000/7330] lr: 1.000e-04, eta: 16:04:19, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0353, loss_cls: 0.1755, acc: 93.5559, loss_bbox: 0.2198, loss_mask: 0.2177, loss: 0.6752 +2022-09-22 19:38:33,206 - mmdet - INFO - Epoch [19][4050/7330] lr: 1.000e-04, eta: 16:03:55, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0323, loss_cls: 0.1714, acc: 93.8416, loss_bbox: 0.2093, loss_mask: 0.2135, loss: 0.6495 +2022-09-22 19:38:54,916 - mmdet - INFO - Epoch [19][4100/7330] lr: 1.000e-04, eta: 16:03:31, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1613, acc: 94.0681, loss_bbox: 0.2034, loss_mask: 0.2160, loss: 0.6336 +2022-09-22 19:39:16,534 - mmdet - INFO - Epoch [19][4150/7330] lr: 1.000e-04, eta: 16:03:06, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0324, loss_cls: 0.1681, acc: 93.9001, loss_bbox: 0.2098, loss_mask: 0.2155, loss: 0.6495 +2022-09-22 19:39:38,055 - mmdet - INFO - Epoch [19][4200/7330] lr: 1.000e-04, eta: 16:02:42, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0302, loss_cls: 0.1606, acc: 94.2190, loss_bbox: 0.2026, loss_mask: 0.2145, loss: 0.6303 +2022-09-22 19:39:59,363 - mmdet - INFO - Epoch [19][4250/7330] lr: 1.000e-04, eta: 16:02:17, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0300, loss_cls: 0.1538, acc: 94.3850, loss_bbox: 0.1943, loss_mask: 0.2133, loss: 0.6138 +2022-09-22 19:40:21,633 - mmdet - INFO - Epoch [19][4300/7330] lr: 1.000e-04, eta: 16:01:54, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0319, loss_cls: 0.1577, acc: 94.2556, loss_bbox: 0.1940, loss_mask: 0.2077, loss: 0.6126 +2022-09-22 19:40:43,414 - mmdet - INFO - Epoch [19][4350/7330] lr: 1.000e-04, eta: 16:01:30, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0301, loss_cls: 0.1523, acc: 94.4941, loss_bbox: 0.1902, loss_mask: 0.2033, loss: 0.5979 +2022-09-22 19:41:04,574 - mmdet - INFO - Epoch [19][4400/7330] lr: 1.000e-04, eta: 16:01:05, time: 0.423, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0299, loss_cls: 0.1572, acc: 94.2695, loss_bbox: 0.1988, loss_mask: 0.2127, loss: 0.6195 +2022-09-22 19:41:26,203 - mmdet - INFO - Epoch [19][4450/7330] lr: 1.000e-04, eta: 16:00:41, time: 0.432, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0330, loss_cls: 0.1622, acc: 94.0745, loss_bbox: 0.2057, loss_mask: 0.2117, loss: 0.6362 +2022-09-22 19:41:47,610 - mmdet - INFO - Epoch [19][4500/7330] lr: 1.000e-04, eta: 16:00:16, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0304, loss_cls: 0.1508, acc: 94.5139, loss_bbox: 0.1918, loss_mask: 0.2071, loss: 0.6016 +2022-09-22 19:42:09,297 - mmdet - INFO - Epoch [19][4550/7330] lr: 1.000e-04, eta: 15:59:52, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0293, loss_cls: 0.1520, acc: 94.4890, loss_bbox: 0.1931, loss_mask: 0.2054, loss: 0.6002 +2022-09-22 19:42:31,314 - mmdet - INFO - Epoch [19][4600/7330] lr: 1.000e-04, eta: 15:59:29, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1635, acc: 94.0405, loss_bbox: 0.2050, loss_mask: 0.2151, loss: 0.6352 +2022-09-22 19:42:52,570 - mmdet - INFO - Epoch [19][4650/7330] lr: 1.000e-04, eta: 15:59:04, time: 0.425, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0290, loss_cls: 0.1616, acc: 94.1782, loss_bbox: 0.1996, loss_mask: 0.2086, loss: 0.6205 +2022-09-22 19:43:14,262 - mmdet - INFO - Epoch [19][4700/7330] lr: 1.000e-04, eta: 15:58:40, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0331, loss_cls: 0.1738, acc: 93.7336, loss_bbox: 0.2135, loss_mask: 0.2223, loss: 0.6675 +2022-09-22 19:43:35,571 - mmdet - INFO - Epoch [19][4750/7330] lr: 1.000e-04, eta: 15:58:15, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0308, loss_cls: 0.1630, acc: 94.0381, loss_bbox: 0.2045, loss_mask: 0.2119, loss: 0.6330 +2022-09-22 19:43:57,485 - mmdet - INFO - Epoch [19][4800/7330] lr: 1.000e-04, eta: 15:57:51, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0280, loss_cls: 0.1539, acc: 94.4417, loss_bbox: 0.1896, loss_mask: 0.2038, loss: 0.5942 +2022-09-22 19:44:19,105 - mmdet - INFO - Epoch [19][4850/7330] lr: 1.000e-04, eta: 15:57:27, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0311, loss_cls: 0.1626, acc: 94.0261, loss_bbox: 0.2044, loss_mask: 0.2168, loss: 0.6368 +2022-09-22 19:44:41,046 - mmdet - INFO - Epoch [19][4900/7330] lr: 1.000e-04, eta: 15:57:03, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0313, loss_cls: 0.1670, acc: 93.9443, loss_bbox: 0.2044, loss_mask: 0.2196, loss: 0.6441 +2022-09-22 19:45:03,259 - mmdet - INFO - Epoch [19][4950/7330] lr: 1.000e-04, eta: 15:56:40, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0313, loss_cls: 0.1482, acc: 94.5669, loss_bbox: 0.1889, loss_mask: 0.2066, loss: 0.5962 +2022-09-22 19:45:25,300 - mmdet - INFO - Epoch [19][5000/7330] lr: 1.000e-04, eta: 15:56:17, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0317, loss_cls: 0.1501, acc: 94.4250, loss_bbox: 0.1985, loss_mask: 0.2126, loss: 0.6142 +2022-09-22 19:45:46,958 - mmdet - INFO - Epoch [19][5050/7330] lr: 1.000e-04, eta: 15:55:53, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0289, loss_cls: 0.1575, acc: 94.2957, loss_bbox: 0.1969, loss_mask: 0.2084, loss: 0.6131 +2022-09-22 19:46:09,058 - mmdet - INFO - Epoch [19][5100/7330] lr: 1.000e-04, eta: 15:55:29, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0332, loss_cls: 0.1627, acc: 94.0520, loss_bbox: 0.2081, loss_mask: 0.2179, loss: 0.6474 +2022-09-22 19:46:30,636 - mmdet - INFO - Epoch [19][5150/7330] lr: 1.000e-04, eta: 15:55:05, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0324, loss_cls: 0.1704, acc: 93.6960, loss_bbox: 0.2178, loss_mask: 0.2237, loss: 0.6678 +2022-09-22 19:46:52,359 - mmdet - INFO - Epoch [19][5200/7330] lr: 1.000e-04, eta: 15:54:41, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0305, loss_cls: 0.1508, acc: 94.4958, loss_bbox: 0.1902, loss_mask: 0.2144, loss: 0.6062 +2022-09-22 19:47:14,186 - mmdet - INFO - Epoch [19][5250/7330] lr: 1.000e-04, eta: 15:54:17, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0308, loss_cls: 0.1700, acc: 93.8555, loss_bbox: 0.2073, loss_mask: 0.2159, loss: 0.6446 +2022-09-22 19:47:35,733 - mmdet - INFO - Epoch [19][5300/7330] lr: 1.000e-04, eta: 15:53:53, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0325, loss_cls: 0.1707, acc: 93.7834, loss_bbox: 0.2093, loss_mask: 0.2147, loss: 0.6503 +2022-09-22 19:47:57,430 - mmdet - INFO - Epoch [19][5350/7330] lr: 1.000e-04, eta: 15:53:29, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0297, loss_cls: 0.1615, acc: 94.0708, loss_bbox: 0.2075, loss_mask: 0.2147, loss: 0.6341 +2022-09-22 19:48:19,552 - mmdet - INFO - Epoch [19][5400/7330] lr: 1.000e-04, eta: 15:53:05, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0323, loss_cls: 0.1563, acc: 94.2214, loss_bbox: 0.2003, loss_mask: 0.2138, loss: 0.6245 +2022-09-22 19:48:41,426 - mmdet - INFO - Epoch [19][5450/7330] lr: 1.000e-04, eta: 15:52:42, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0329, loss_cls: 0.1586, acc: 94.2634, loss_bbox: 0.1969, loss_mask: 0.2130, loss: 0.6245 +2022-09-22 19:49:03,177 - mmdet - INFO - Epoch [19][5500/7330] lr: 1.000e-04, eta: 15:52:18, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0331, loss_cls: 0.1741, acc: 93.7351, loss_bbox: 0.2162, loss_mask: 0.2211, loss: 0.6693 +2022-09-22 19:49:24,992 - mmdet - INFO - Epoch [19][5550/7330] lr: 1.000e-04, eta: 15:51:54, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0317, loss_cls: 0.1624, acc: 94.1445, loss_bbox: 0.2059, loss_mask: 0.2169, loss: 0.6390 +2022-09-22 19:49:46,601 - mmdet - INFO - Epoch [19][5600/7330] lr: 1.000e-04, eta: 15:51:30, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0304, loss_cls: 0.1602, acc: 94.2065, loss_bbox: 0.1991, loss_mask: 0.2103, loss: 0.6208 +2022-09-22 19:50:08,930 - mmdet - INFO - Epoch [19][5650/7330] lr: 1.000e-04, eta: 15:51:07, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0325, loss_cls: 0.1718, acc: 93.9490, loss_bbox: 0.2088, loss_mask: 0.2177, loss: 0.6549 +2022-09-22 19:50:30,844 - mmdet - INFO - Epoch [19][5700/7330] lr: 1.000e-04, eta: 15:50:43, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0327, loss_cls: 0.1631, acc: 94.0671, loss_bbox: 0.2079, loss_mask: 0.2165, loss: 0.6429 +2022-09-22 19:50:52,871 - mmdet - INFO - Epoch [19][5750/7330] lr: 1.000e-04, eta: 15:50:19, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0321, loss_cls: 0.1689, acc: 93.8074, loss_bbox: 0.2100, loss_mask: 0.2123, loss: 0.6466 +2022-09-22 19:51:14,552 - mmdet - INFO - Epoch [19][5800/7330] lr: 1.000e-04, eta: 15:49:55, time: 0.433, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0333, loss_cls: 0.1654, acc: 93.9500, loss_bbox: 0.2107, loss_mask: 0.2216, loss: 0.6540 +2022-09-22 19:51:36,142 - mmdet - INFO - Epoch [19][5850/7330] lr: 1.000e-04, eta: 15:49:31, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0331, loss_cls: 0.1632, acc: 94.0256, loss_bbox: 0.2152, loss_mask: 0.2181, loss: 0.6537 +2022-09-22 19:51:58,164 - mmdet - INFO - Epoch [19][5900/7330] lr: 1.000e-04, eta: 15:49:08, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0324, loss_cls: 0.1579, acc: 94.2463, loss_bbox: 0.2001, loss_mask: 0.2124, loss: 0.6263 +2022-09-22 19:52:19,632 - mmdet - INFO - Epoch [19][5950/7330] lr: 1.000e-04, eta: 15:48:43, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0315, loss_cls: 0.1595, acc: 94.2524, loss_bbox: 0.1989, loss_mask: 0.2123, loss: 0.6270 +2022-09-22 19:52:41,552 - mmdet - INFO - Epoch [19][6000/7330] lr: 1.000e-04, eta: 15:48:20, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0301, loss_cls: 0.1603, acc: 94.2266, loss_bbox: 0.2009, loss_mask: 0.2101, loss: 0.6231 +2022-09-22 19:53:03,063 - mmdet - INFO - Epoch [19][6050/7330] lr: 1.000e-04, eta: 15:47:55, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0295, loss_cls: 0.1632, acc: 93.9846, loss_bbox: 0.2066, loss_mask: 0.2196, loss: 0.6400 +2022-09-22 19:53:24,835 - mmdet - INFO - Epoch [19][6100/7330] lr: 1.000e-04, eta: 15:47:31, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0321, loss_cls: 0.1637, acc: 94.0325, loss_bbox: 0.2066, loss_mask: 0.2162, loss: 0.6415 +2022-09-22 19:53:46,640 - mmdet - INFO - Epoch [19][6150/7330] lr: 1.000e-04, eta: 15:47:08, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0309, loss_cls: 0.1671, acc: 93.9795, loss_bbox: 0.2065, loss_mask: 0.2173, loss: 0.6461 +2022-09-22 19:54:08,782 - mmdet - INFO - Epoch [19][6200/7330] lr: 1.000e-04, eta: 15:46:44, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0313, loss_cls: 0.1705, acc: 93.7710, loss_bbox: 0.2169, loss_mask: 0.2227, loss: 0.6633 +2022-09-22 19:54:30,740 - mmdet - INFO - Epoch [19][6250/7330] lr: 1.000e-04, eta: 15:46:21, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0328, loss_cls: 0.1619, acc: 94.0803, loss_bbox: 0.2103, loss_mask: 0.2220, loss: 0.6499 +2022-09-22 19:54:52,971 - mmdet - INFO - Epoch [19][6300/7330] lr: 1.000e-04, eta: 15:45:58, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0301, loss_cls: 0.1639, acc: 94.0364, loss_bbox: 0.2079, loss_mask: 0.2141, loss: 0.6395 +2022-09-22 19:55:14,700 - mmdet - INFO - Epoch [19][6350/7330] lr: 1.000e-04, eta: 15:45:34, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0316, loss_cls: 0.1668, acc: 93.8704, loss_bbox: 0.2102, loss_mask: 0.2168, loss: 0.6482 +2022-09-22 19:55:36,832 - mmdet - INFO - Epoch [19][6400/7330] lr: 1.000e-04, eta: 15:45:10, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0315, loss_cls: 0.1691, acc: 93.9021, loss_bbox: 0.2082, loss_mask: 0.2125, loss: 0.6457 +2022-09-22 19:55:59,358 - mmdet - INFO - Epoch [19][6450/7330] lr: 1.000e-04, eta: 15:44:48, time: 0.451, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0323, loss_cls: 0.1616, acc: 94.1118, loss_bbox: 0.2042, loss_mask: 0.2115, loss: 0.6328 +2022-09-22 19:56:21,062 - mmdet - INFO - Epoch [19][6500/7330] lr: 1.000e-04, eta: 15:44:24, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0288, loss_cls: 0.1584, acc: 94.2476, loss_bbox: 0.2007, loss_mask: 0.2113, loss: 0.6199 +2022-09-22 19:56:42,987 - mmdet - INFO - Epoch [19][6550/7330] lr: 1.000e-04, eta: 15:44:00, time: 0.438, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0307, loss_cls: 0.1565, acc: 94.2749, loss_bbox: 0.2012, loss_mask: 0.2172, loss: 0.6257 +2022-09-22 19:57:04,669 - mmdet - INFO - Epoch [19][6600/7330] lr: 1.000e-04, eta: 15:43:36, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0296, loss_cls: 0.1612, acc: 94.2214, loss_bbox: 0.2057, loss_mask: 0.2187, loss: 0.6356 +2022-09-22 19:57:26,444 - mmdet - INFO - Epoch [19][6650/7330] lr: 1.000e-04, eta: 15:43:12, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0316, loss_cls: 0.1629, acc: 93.9919, loss_bbox: 0.2090, loss_mask: 0.2172, loss: 0.6455 +2022-09-22 19:57:47,581 - mmdet - INFO - Epoch [19][6700/7330] lr: 1.000e-04, eta: 15:42:47, time: 0.423, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0284, loss_cls: 0.1587, acc: 94.2876, loss_bbox: 0.1976, loss_mask: 0.2148, loss: 0.6202 +2022-09-22 19:58:09,324 - mmdet - INFO - Epoch [19][6750/7330] lr: 1.000e-04, eta: 15:42:24, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0307, loss_cls: 0.1623, acc: 94.0481, loss_bbox: 0.2111, loss_mask: 0.2166, loss: 0.6447 +2022-09-22 19:58:30,704 - mmdet - INFO - Epoch [19][6800/7330] lr: 1.000e-04, eta: 15:41:59, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0308, loss_cls: 0.1587, acc: 94.2271, loss_bbox: 0.1992, loss_mask: 0.2126, loss: 0.6235 +2022-09-22 19:58:52,481 - mmdet - INFO - Epoch [19][6850/7330] lr: 1.000e-04, eta: 15:41:35, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0327, loss_cls: 0.1646, acc: 94.0002, loss_bbox: 0.2028, loss_mask: 0.2113, loss: 0.6351 +2022-09-22 19:59:14,296 - mmdet - INFO - Epoch [19][6900/7330] lr: 1.000e-04, eta: 15:41:11, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0320, loss_cls: 0.1732, acc: 93.6970, loss_bbox: 0.2101, loss_mask: 0.2189, loss: 0.6576 +2022-09-22 19:59:35,770 - mmdet - INFO - Epoch [19][6950/7330] lr: 1.000e-04, eta: 15:40:47, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0320, loss_cls: 0.1684, acc: 93.9094, loss_bbox: 0.2097, loss_mask: 0.2158, loss: 0.6484 +2022-09-22 19:59:57,607 - mmdet - INFO - Epoch [19][7000/7330] lr: 1.000e-04, eta: 15:40:23, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0309, loss_cls: 0.1654, acc: 93.9878, loss_bbox: 0.2083, loss_mask: 0.2113, loss: 0.6384 +2022-09-22 20:00:19,234 - mmdet - INFO - Epoch [19][7050/7330] lr: 1.000e-04, eta: 15:39:59, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0313, loss_cls: 0.1598, acc: 94.2097, loss_bbox: 0.1964, loss_mask: 0.2131, loss: 0.6234 +2022-09-22 20:00:40,919 - mmdet - INFO - Epoch [19][7100/7330] lr: 1.000e-04, eta: 15:39:35, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0313, loss_cls: 0.1660, acc: 93.9668, loss_bbox: 0.2056, loss_mask: 0.2174, loss: 0.6427 +2022-09-22 20:01:03,325 - mmdet - INFO - Epoch [19][7150/7330] lr: 1.000e-04, eta: 15:39:13, time: 0.448, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0336, loss_cls: 0.1662, acc: 93.9336, loss_bbox: 0.2054, loss_mask: 0.2217, loss: 0.6507 +2022-09-22 20:01:25,088 - mmdet - INFO - Epoch [19][7200/7330] lr: 1.000e-04, eta: 15:38:49, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0319, loss_cls: 0.1674, acc: 93.8860, loss_bbox: 0.2101, loss_mask: 0.2192, loss: 0.6498 +2022-09-22 20:01:46,901 - mmdet - INFO - Epoch [19][7250/7330] lr: 1.000e-04, eta: 15:38:25, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0294, loss_cls: 0.1591, acc: 94.1335, loss_bbox: 0.2056, loss_mask: 0.2102, loss: 0.6234 +2022-09-22 20:02:08,268 - mmdet - INFO - Epoch [19][7300/7330] lr: 1.000e-04, eta: 15:38:00, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0328, loss_cls: 0.1659, acc: 94.0183, loss_bbox: 0.2042, loss_mask: 0.2150, loss: 0.6404 +2022-09-22 20:02:30,768 - mmdet - INFO - Saving checkpoint at 19 epochs +2022-09-22 20:04:25,710 - mmdet - INFO - Evaluating bbox... +2022-09-22 20:04:51,710 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.484 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.709 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.531 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.332 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.522 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.442 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.649 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.756 + +2022-09-22 20:04:51,711 - mmdet - INFO - Evaluating segm... +2022-09-22 20:05:24,390 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.432 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.677 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.462 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.247 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.468 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.617 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.370 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.594 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.711 + +2022-09-22 20:05:25,002 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 20:05:25,004 - mmdet - INFO - Epoch(val) [19][625] bbox_mAP: 0.4840, bbox_mAP_50: 0.7090, bbox_mAP_75: 0.5310, bbox_mAP_s: 0.3320, bbox_mAP_m: 0.5220, bbox_mAP_l: 0.6270, bbox_mAP_copypaste: 0.484 0.709 0.531 0.332 0.522 0.627, segm_mAP: 0.4320, segm_mAP_50: 0.6770, segm_mAP_75: 0.4620, segm_mAP_s: 0.2470, segm_mAP_m: 0.4680, segm_mAP_l: 0.6170, segm_mAP_copypaste: 0.432 0.677 0.462 0.247 0.468 0.617 +2022-09-22 20:07:36,323 - mmdet - INFO - Epoch [20][50/7330] lr: 1.000e-04, eta: 15:39:51, time: 2.625, data_time: 2.173, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0318, loss_cls: 0.1617, acc: 94.0981, loss_bbox: 0.2030, loss_mask: 0.2138, loss: 0.6323 +2022-09-22 20:07:58,352 - mmdet - INFO - Epoch [20][100/7330] lr: 1.000e-04, eta: 15:39:28, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0296, loss_cls: 0.1574, acc: 94.2930, loss_bbox: 0.1947, loss_mask: 0.2103, loss: 0.6139 +2022-09-22 20:08:20,002 - mmdet - INFO - Epoch [20][150/7330] lr: 1.000e-04, eta: 15:39:03, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0319, loss_cls: 0.1610, acc: 94.0559, loss_bbox: 0.2144, loss_mask: 0.2162, loss: 0.6435 +2022-09-22 20:08:41,558 - mmdet - INFO - Epoch [20][200/7330] lr: 1.000e-04, eta: 15:38:39, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0299, loss_cls: 0.1568, acc: 94.1831, loss_bbox: 0.2050, loss_mask: 0.2084, loss: 0.6208 +2022-09-22 20:09:03,735 - mmdet - INFO - Epoch [20][250/7330] lr: 1.000e-04, eta: 15:38:16, time: 0.444, data_time: 0.025, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0300, loss_cls: 0.1547, acc: 94.2698, loss_bbox: 0.1991, loss_mask: 0.2136, loss: 0.6177 +2022-09-22 20:09:25,825 - mmdet - INFO - Epoch [20][300/7330] lr: 1.000e-04, eta: 15:37:52, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0301, loss_cls: 0.1594, acc: 94.1733, loss_bbox: 0.2042, loss_mask: 0.2152, loss: 0.6296 +2022-09-22 20:09:47,471 - mmdet - INFO - Epoch [20][350/7330] lr: 1.000e-04, eta: 15:37:28, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0321, loss_cls: 0.1537, acc: 94.3433, loss_bbox: 0.2025, loss_mask: 0.2100, loss: 0.6197 +2022-09-22 20:10:09,226 - mmdet - INFO - Epoch [20][400/7330] lr: 1.000e-04, eta: 15:37:04, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0308, loss_cls: 0.1586, acc: 94.2051, loss_bbox: 0.1977, loss_mask: 0.2128, loss: 0.6215 +2022-09-22 20:10:31,183 - mmdet - INFO - Epoch [20][450/7330] lr: 1.000e-04, eta: 15:36:41, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0305, loss_cls: 0.1610, acc: 94.1768, loss_bbox: 0.2008, loss_mask: 0.2124, loss: 0.6265 +2022-09-22 20:10:52,942 - mmdet - INFO - Epoch [20][500/7330] lr: 1.000e-04, eta: 15:36:17, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0311, loss_cls: 0.1685, acc: 93.7124, loss_bbox: 0.2116, loss_mask: 0.2192, loss: 0.6516 +2022-09-22 20:11:14,541 - mmdet - INFO - Epoch [20][550/7330] lr: 1.000e-04, eta: 15:35:52, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0304, loss_cls: 0.1580, acc: 94.2024, loss_bbox: 0.1976, loss_mask: 0.2120, loss: 0.6200 +2022-09-22 20:11:36,869 - mmdet - INFO - Epoch [20][600/7330] lr: 1.000e-04, eta: 15:35:29, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0330, loss_cls: 0.1679, acc: 93.8931, loss_bbox: 0.2087, loss_mask: 0.2133, loss: 0.6465 +2022-09-22 20:11:58,330 - mmdet - INFO - Epoch [20][650/7330] lr: 1.000e-04, eta: 15:35:05, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0319, loss_cls: 0.1642, acc: 93.9917, loss_bbox: 0.2080, loss_mask: 0.2088, loss: 0.6364 +2022-09-22 20:12:20,161 - mmdet - INFO - Epoch [20][700/7330] lr: 1.000e-04, eta: 15:34:41, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0309, loss_cls: 0.1522, acc: 94.4668, loss_bbox: 0.1971, loss_mask: 0.2090, loss: 0.6122 +2022-09-22 20:12:42,033 - mmdet - INFO - Epoch [20][750/7330] lr: 1.000e-04, eta: 15:34:17, time: 0.437, data_time: 0.012, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0304, loss_cls: 0.1543, acc: 94.4443, loss_bbox: 0.1968, loss_mask: 0.2111, loss: 0.6145 +2022-09-22 20:13:04,314 - mmdet - INFO - Epoch [20][800/7330] lr: 1.000e-04, eta: 15:33:54, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0299, loss_cls: 0.1654, acc: 94.0281, loss_bbox: 0.2065, loss_mask: 0.2159, loss: 0.6385 +2022-09-22 20:13:25,914 - mmdet - INFO - Epoch [20][850/7330] lr: 1.000e-04, eta: 15:33:30, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0302, loss_cls: 0.1627, acc: 94.1692, loss_bbox: 0.2025, loss_mask: 0.2082, loss: 0.6234 +2022-09-22 20:13:47,528 - mmdet - INFO - Epoch [20][900/7330] lr: 1.000e-04, eta: 15:33:06, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0335, loss_cls: 0.1643, acc: 93.9983, loss_bbox: 0.2148, loss_mask: 0.2155, loss: 0.6540 +2022-09-22 20:14:09,255 - mmdet - INFO - Epoch [20][950/7330] lr: 1.000e-04, eta: 15:32:42, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0312, loss_cls: 0.1576, acc: 94.1418, loss_bbox: 0.2090, loss_mask: 0.2166, loss: 0.6342 +2022-09-22 20:14:31,314 - mmdet - INFO - Epoch [20][1000/7330] lr: 1.000e-04, eta: 15:32:18, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0326, loss_cls: 0.1633, acc: 94.0732, loss_bbox: 0.2078, loss_mask: 0.2091, loss: 0.6351 +2022-09-22 20:14:53,396 - mmdet - INFO - Epoch [20][1050/7330] lr: 1.000e-04, eta: 15:31:55, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0324, loss_cls: 0.1605, acc: 94.1301, loss_bbox: 0.2067, loss_mask: 0.2175, loss: 0.6425 +2022-09-22 20:15:15,638 - mmdet - INFO - Epoch [20][1100/7330] lr: 1.000e-04, eta: 15:31:32, time: 0.445, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0332, loss_cls: 0.1626, acc: 94.0940, loss_bbox: 0.2043, loss_mask: 0.2193, loss: 0.6422 +2022-09-22 20:15:37,760 - mmdet - INFO - Epoch [20][1150/7330] lr: 1.000e-04, eta: 15:31:08, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0293, loss_cls: 0.1571, acc: 94.2732, loss_bbox: 0.2012, loss_mask: 0.2159, loss: 0.6242 +2022-09-22 20:15:59,585 - mmdet - INFO - Epoch [20][1200/7330] lr: 1.000e-04, eta: 15:30:44, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0291, loss_cls: 0.1502, acc: 94.5759, loss_bbox: 0.1934, loss_mask: 0.2083, loss: 0.6025 +2022-09-22 20:16:21,629 - mmdet - INFO - Epoch [20][1250/7330] lr: 1.000e-04, eta: 15:30:21, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0336, loss_cls: 0.1597, acc: 94.0891, loss_bbox: 0.2050, loss_mask: 0.2090, loss: 0.6305 +2022-09-22 20:16:43,397 - mmdet - INFO - Epoch [20][1300/7330] lr: 1.000e-04, eta: 15:29:57, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0308, loss_cls: 0.1572, acc: 94.3242, loss_bbox: 0.2013, loss_mask: 0.2137, loss: 0.6248 +2022-09-22 20:17:05,280 - mmdet - INFO - Epoch [20][1350/7330] lr: 1.000e-04, eta: 15:29:33, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0321, loss_cls: 0.1597, acc: 94.1428, loss_bbox: 0.2062, loss_mask: 0.2159, loss: 0.6361 +2022-09-22 20:17:27,199 - mmdet - INFO - Epoch [20][1400/7330] lr: 1.000e-04, eta: 15:29:09, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0311, loss_cls: 0.1588, acc: 94.2444, loss_bbox: 0.2003, loss_mask: 0.2162, loss: 0.6278 +2022-09-22 20:17:48,929 - mmdet - INFO - Epoch [20][1450/7330] lr: 1.000e-04, eta: 15:28:45, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0314, loss_cls: 0.1545, acc: 94.2588, loss_bbox: 0.1991, loss_mask: 0.2086, loss: 0.6140 +2022-09-22 20:18:10,768 - mmdet - INFO - Epoch [20][1500/7330] lr: 1.000e-04, eta: 15:28:22, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0315, loss_cls: 0.1490, acc: 94.5300, loss_bbox: 0.1953, loss_mask: 0.2101, loss: 0.6067 +2022-09-22 20:18:32,548 - mmdet - INFO - Epoch [20][1550/7330] lr: 1.000e-04, eta: 15:27:58, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0312, loss_cls: 0.1526, acc: 94.5134, loss_bbox: 0.1900, loss_mask: 0.2101, loss: 0.6068 +2022-09-22 20:18:54,197 - mmdet - INFO - Epoch [20][1600/7330] lr: 1.000e-04, eta: 15:27:34, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0291, loss_cls: 0.1519, acc: 94.4272, loss_bbox: 0.1977, loss_mask: 0.2087, loss: 0.6084 +2022-09-22 20:19:16,050 - mmdet - INFO - Epoch [20][1650/7330] lr: 1.000e-04, eta: 15:27:10, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0311, loss_cls: 0.1658, acc: 93.9875, loss_bbox: 0.2095, loss_mask: 0.2097, loss: 0.6380 +2022-09-22 20:19:37,632 - mmdet - INFO - Epoch [20][1700/7330] lr: 1.000e-04, eta: 15:26:46, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0311, loss_cls: 0.1596, acc: 94.2461, loss_bbox: 0.2044, loss_mask: 0.2133, loss: 0.6305 +2022-09-22 20:19:59,050 - mmdet - INFO - Epoch [20][1750/7330] lr: 1.000e-04, eta: 15:26:21, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0330, loss_cls: 0.1669, acc: 93.9026, loss_bbox: 0.2147, loss_mask: 0.2184, loss: 0.6561 +2022-09-22 20:20:21,302 - mmdet - INFO - Epoch [20][1800/7330] lr: 1.000e-04, eta: 15:25:58, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0323, loss_cls: 0.1600, acc: 94.1130, loss_bbox: 0.2070, loss_mask: 0.2175, loss: 0.6414 +2022-09-22 20:20:42,897 - mmdet - INFO - Epoch [20][1850/7330] lr: 1.000e-04, eta: 15:25:34, time: 0.432, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0323, loss_cls: 0.1612, acc: 94.0854, loss_bbox: 0.2042, loss_mask: 0.2123, loss: 0.6324 +2022-09-22 20:21:04,447 - mmdet - INFO - Epoch [20][1900/7330] lr: 1.000e-04, eta: 15:25:10, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0328, loss_cls: 0.1655, acc: 93.9373, loss_bbox: 0.2137, loss_mask: 0.2167, loss: 0.6514 +2022-09-22 20:21:25,677 - mmdet - INFO - Epoch [20][1950/7330] lr: 1.000e-04, eta: 15:24:45, time: 0.424, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0296, loss_cls: 0.1547, acc: 94.3250, loss_bbox: 0.1956, loss_mask: 0.2128, loss: 0.6141 +2022-09-22 20:21:47,223 - mmdet - INFO - Epoch [20][2000/7330] lr: 1.000e-04, eta: 15:24:21, time: 0.431, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0313, loss_cls: 0.1576, acc: 94.1826, loss_bbox: 0.2024, loss_mask: 0.2105, loss: 0.6234 +2022-09-22 20:22:08,963 - mmdet - INFO - Epoch [20][2050/7330] lr: 1.000e-04, eta: 15:23:57, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0330, loss_cls: 0.1638, acc: 93.9749, loss_bbox: 0.2129, loss_mask: 0.2138, loss: 0.6464 +2022-09-22 20:22:30,235 - mmdet - INFO - Epoch [20][2100/7330] lr: 1.000e-04, eta: 15:23:32, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0279, loss_cls: 0.1527, acc: 94.4045, loss_bbox: 0.1923, loss_mask: 0.2133, loss: 0.6059 +2022-09-22 20:22:51,910 - mmdet - INFO - Epoch [20][2150/7330] lr: 1.000e-04, eta: 15:23:08, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0313, loss_cls: 0.1658, acc: 94.0237, loss_bbox: 0.2092, loss_mask: 0.2178, loss: 0.6467 +2022-09-22 20:23:13,929 - mmdet - INFO - Epoch [20][2200/7330] lr: 1.000e-04, eta: 15:22:45, time: 0.441, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0377, loss_cls: 0.1760, acc: 93.5496, loss_bbox: 0.2244, loss_mask: 0.2242, loss: 0.6878 +2022-09-22 20:23:35,988 - mmdet - INFO - Epoch [20][2250/7330] lr: 1.000e-04, eta: 15:22:21, time: 0.440, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0326, loss_cls: 0.1662, acc: 93.9028, loss_bbox: 0.2132, loss_mask: 0.2145, loss: 0.6498 +2022-09-22 20:23:57,747 - mmdet - INFO - Epoch [20][2300/7330] lr: 1.000e-04, eta: 15:21:58, time: 0.436, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0326, loss_cls: 0.1655, acc: 93.9373, loss_bbox: 0.2106, loss_mask: 0.2155, loss: 0.6460 +2022-09-22 20:24:19,816 - mmdet - INFO - Epoch [20][2350/7330] lr: 1.000e-04, eta: 15:21:34, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0350, loss_cls: 0.1736, acc: 93.6865, loss_bbox: 0.2193, loss_mask: 0.2198, loss: 0.6729 +2022-09-22 20:24:41,456 - mmdet - INFO - Epoch [20][2400/7330] lr: 1.000e-04, eta: 15:21:10, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0306, loss_cls: 0.1521, acc: 94.4893, loss_bbox: 0.1957, loss_mask: 0.2123, loss: 0.6123 +2022-09-22 20:25:03,018 - mmdet - INFO - Epoch [20][2450/7330] lr: 1.000e-04, eta: 15:20:46, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0313, loss_cls: 0.1557, acc: 94.2756, loss_bbox: 0.2011, loss_mask: 0.2151, loss: 0.6263 +2022-09-22 20:25:24,768 - mmdet - INFO - Epoch [20][2500/7330] lr: 1.000e-04, eta: 15:20:22, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0319, loss_cls: 0.1564, acc: 94.2109, loss_bbox: 0.2028, loss_mask: 0.2124, loss: 0.6270 +2022-09-22 20:25:46,547 - mmdet - INFO - Epoch [20][2550/7330] lr: 1.000e-04, eta: 15:19:58, time: 0.435, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0327, loss_cls: 0.1643, acc: 94.0452, loss_bbox: 0.2042, loss_mask: 0.2131, loss: 0.6346 +2022-09-22 20:26:08,225 - mmdet - INFO - Epoch [20][2600/7330] lr: 1.000e-04, eta: 15:19:34, time: 0.434, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0312, loss_cls: 0.1639, acc: 94.0039, loss_bbox: 0.2087, loss_mask: 0.2121, loss: 0.6386 +2022-09-22 20:26:29,923 - mmdet - INFO - Epoch [20][2650/7330] lr: 1.000e-04, eta: 15:19:10, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0315, loss_cls: 0.1572, acc: 94.2686, loss_bbox: 0.1967, loss_mask: 0.2090, loss: 0.6156 +2022-09-22 20:26:51,816 - mmdet - INFO - Epoch [20][2700/7330] lr: 1.000e-04, eta: 15:18:47, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0330, loss_cls: 0.1656, acc: 93.9685, loss_bbox: 0.2122, loss_mask: 0.2186, loss: 0.6544 +2022-09-22 20:27:13,532 - mmdet - INFO - Epoch [20][2750/7330] lr: 1.000e-04, eta: 15:18:23, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0279, loss_cls: 0.1516, acc: 94.5190, loss_bbox: 0.1919, loss_mask: 0.2070, loss: 0.5984 +2022-09-22 20:27:35,152 - mmdet - INFO - Epoch [20][2800/7330] lr: 1.000e-04, eta: 15:17:59, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0325, loss_cls: 0.1610, acc: 94.1606, loss_bbox: 0.2074, loss_mask: 0.2159, loss: 0.6389 +2022-09-22 20:27:57,007 - mmdet - INFO - Epoch [20][2850/7330] lr: 1.000e-04, eta: 15:17:35, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0295, loss_cls: 0.1547, acc: 94.3142, loss_bbox: 0.1952, loss_mask: 0.2078, loss: 0.6081 +2022-09-22 20:28:18,745 - mmdet - INFO - Epoch [20][2900/7330] lr: 1.000e-04, eta: 15:17:11, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0307, loss_cls: 0.1621, acc: 94.1086, loss_bbox: 0.2016, loss_mask: 0.2078, loss: 0.6221 +2022-09-22 20:28:40,280 - mmdet - INFO - Epoch [20][2950/7330] lr: 1.000e-04, eta: 15:16:47, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0292, loss_cls: 0.1651, acc: 94.1160, loss_bbox: 0.1940, loss_mask: 0.2102, loss: 0.6183 +2022-09-22 20:29:02,518 - mmdet - INFO - Epoch [20][3000/7330] lr: 1.000e-04, eta: 15:16:24, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0327, loss_cls: 0.1663, acc: 93.9937, loss_bbox: 0.2110, loss_mask: 0.2179, loss: 0.6521 +2022-09-22 20:29:24,375 - mmdet - INFO - Epoch [20][3050/7330] lr: 1.000e-04, eta: 15:16:00, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0307, loss_cls: 0.1548, acc: 94.4131, loss_bbox: 0.1994, loss_mask: 0.2121, loss: 0.6182 +2022-09-22 20:29:46,658 - mmdet - INFO - Epoch [20][3100/7330] lr: 1.000e-04, eta: 15:15:37, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0317, loss_cls: 0.1556, acc: 94.2893, loss_bbox: 0.2029, loss_mask: 0.2143, loss: 0.6268 +2022-09-22 20:30:08,298 - mmdet - INFO - Epoch [20][3150/7330] lr: 1.000e-04, eta: 15:15:13, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0306, loss_cls: 0.1629, acc: 94.0903, loss_bbox: 0.2061, loss_mask: 0.2123, loss: 0.6322 +2022-09-22 20:30:30,109 - mmdet - INFO - Epoch [20][3200/7330] lr: 1.000e-04, eta: 15:14:49, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0351, loss_cls: 0.1719, acc: 93.6494, loss_bbox: 0.2166, loss_mask: 0.2167, loss: 0.6644 +2022-09-22 20:30:51,819 - mmdet - INFO - Epoch [20][3250/7330] lr: 1.000e-04, eta: 15:14:25, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0309, loss_cls: 0.1664, acc: 93.9895, loss_bbox: 0.2056, loss_mask: 0.2158, loss: 0.6402 +2022-09-22 20:31:13,853 - mmdet - INFO - Epoch [20][3300/7330] lr: 1.000e-04, eta: 15:14:02, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0307, loss_cls: 0.1620, acc: 94.1680, loss_bbox: 0.2058, loss_mask: 0.2146, loss: 0.6342 +2022-09-22 20:31:36,055 - mmdet - INFO - Epoch [20][3350/7330] lr: 1.000e-04, eta: 15:13:39, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0296, loss_cls: 0.1526, acc: 94.4255, loss_bbox: 0.1945, loss_mask: 0.2128, loss: 0.6104 +2022-09-22 20:31:58,072 - mmdet - INFO - Epoch [20][3400/7330] lr: 1.000e-04, eta: 15:13:15, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0289, loss_cls: 0.1583, acc: 94.2842, loss_bbox: 0.2034, loss_mask: 0.2124, loss: 0.6227 +2022-09-22 20:32:20,232 - mmdet - INFO - Epoch [20][3450/7330] lr: 1.000e-04, eta: 15:12:52, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0328, loss_cls: 0.1703, acc: 93.8162, loss_bbox: 0.2128, loss_mask: 0.2166, loss: 0.6566 +2022-09-22 20:32:42,073 - mmdet - INFO - Epoch [20][3500/7330] lr: 1.000e-04, eta: 15:12:28, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0331, loss_cls: 0.1662, acc: 93.8623, loss_bbox: 0.2075, loss_mask: 0.2194, loss: 0.6492 +2022-09-22 20:33:04,192 - mmdet - INFO - Epoch [20][3550/7330] lr: 1.000e-04, eta: 15:12:05, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0305, loss_cls: 0.1574, acc: 94.2727, loss_bbox: 0.1958, loss_mask: 0.2105, loss: 0.6163 +2022-09-22 20:33:25,793 - mmdet - INFO - Epoch [20][3600/7330] lr: 1.000e-04, eta: 15:11:41, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0297, loss_cls: 0.1529, acc: 94.3682, loss_bbox: 0.2036, loss_mask: 0.2123, loss: 0.6175 +2022-09-22 20:33:47,720 - mmdet - INFO - Epoch [20][3650/7330] lr: 1.000e-04, eta: 15:11:17, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0317, loss_cls: 0.1630, acc: 94.1069, loss_bbox: 0.2053, loss_mask: 0.2140, loss: 0.6366 +2022-09-22 20:34:09,448 - mmdet - INFO - Epoch [20][3700/7330] lr: 1.000e-04, eta: 15:10:54, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0308, loss_cls: 0.1626, acc: 94.0723, loss_bbox: 0.2065, loss_mask: 0.2134, loss: 0.6368 +2022-09-22 20:34:31,038 - mmdet - INFO - Epoch [20][3750/7330] lr: 1.000e-04, eta: 15:10:30, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0292, loss_cls: 0.1579, acc: 94.3357, loss_bbox: 0.1983, loss_mask: 0.2186, loss: 0.6255 +2022-09-22 20:34:52,893 - mmdet - INFO - Epoch [20][3800/7330] lr: 1.000e-04, eta: 15:10:06, time: 0.438, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0310, loss_cls: 0.1540, acc: 94.3181, loss_bbox: 0.1971, loss_mask: 0.2129, loss: 0.6155 +2022-09-22 20:35:14,519 - mmdet - INFO - Epoch [20][3850/7330] lr: 1.000e-04, eta: 15:09:42, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0323, loss_cls: 0.1628, acc: 94.1055, loss_bbox: 0.2086, loss_mask: 0.2160, loss: 0.6432 +2022-09-22 20:35:36,517 - mmdet - INFO - Epoch [20][3900/7330] lr: 1.000e-04, eta: 15:09:18, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0306, loss_cls: 0.1569, acc: 94.2771, loss_bbox: 0.1953, loss_mask: 0.2149, loss: 0.6218 +2022-09-22 20:35:58,400 - mmdet - INFO - Epoch [20][3950/7330] lr: 1.000e-04, eta: 15:08:55, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0308, loss_cls: 0.1505, acc: 94.4409, loss_bbox: 0.1955, loss_mask: 0.2099, loss: 0.6081 +2022-09-22 20:36:20,531 - mmdet - INFO - Epoch [20][4000/7330] lr: 1.000e-04, eta: 15:08:32, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0309, loss_cls: 0.1580, acc: 94.2358, loss_bbox: 0.2071, loss_mask: 0.2093, loss: 0.6263 +2022-09-22 20:36:42,865 - mmdet - INFO - Epoch [20][4050/7330] lr: 1.000e-04, eta: 15:08:09, time: 0.448, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0334, loss_cls: 0.1608, acc: 94.0083, loss_bbox: 0.2069, loss_mask: 0.2145, loss: 0.6372 +2022-09-22 20:37:04,611 - mmdet - INFO - Epoch [20][4100/7330] lr: 1.000e-04, eta: 15:07:45, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0313, loss_cls: 0.1645, acc: 94.0198, loss_bbox: 0.2102, loss_mask: 0.2179, loss: 0.6457 +2022-09-22 20:37:26,388 - mmdet - INFO - Epoch [20][4150/7330] lr: 1.000e-04, eta: 15:07:21, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0318, loss_cls: 0.1637, acc: 94.1716, loss_bbox: 0.1988, loss_mask: 0.2117, loss: 0.6296 +2022-09-22 20:37:47,962 - mmdet - INFO - Epoch [20][4200/7330] lr: 1.000e-04, eta: 15:06:57, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0306, loss_cls: 0.1683, acc: 93.8433, loss_bbox: 0.2136, loss_mask: 0.2147, loss: 0.6489 +2022-09-22 20:38:09,243 - mmdet - INFO - Epoch [20][4250/7330] lr: 1.000e-04, eta: 15:06:33, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0286, loss_cls: 0.1555, acc: 94.3777, loss_bbox: 0.1988, loss_mask: 0.2123, loss: 0.6158 +2022-09-22 20:38:31,316 - mmdet - INFO - Epoch [20][4300/7330] lr: 1.000e-04, eta: 15:06:09, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0304, loss_cls: 0.1631, acc: 94.1299, loss_bbox: 0.2003, loss_mask: 0.2058, loss: 0.6219 +2022-09-22 20:38:52,654 - mmdet - INFO - Epoch [20][4350/7330] lr: 1.000e-04, eta: 15:05:45, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0317, loss_cls: 0.1580, acc: 94.1863, loss_bbox: 0.1986, loss_mask: 0.2143, loss: 0.6247 +2022-09-22 20:39:14,585 - mmdet - INFO - Epoch [20][4400/7330] lr: 1.000e-04, eta: 15:05:21, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0327, loss_cls: 0.1611, acc: 94.1116, loss_bbox: 0.2014, loss_mask: 0.2186, loss: 0.6388 +2022-09-22 20:39:36,124 - mmdet - INFO - Epoch [20][4450/7330] lr: 1.000e-04, eta: 15:04:57, time: 0.431, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0290, loss_cls: 0.1473, acc: 94.5222, loss_bbox: 0.1952, loss_mask: 0.2100, loss: 0.6015 +2022-09-22 20:39:57,770 - mmdet - INFO - Epoch [20][4500/7330] lr: 1.000e-04, eta: 15:04:33, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0330, loss_cls: 0.1633, acc: 94.1116, loss_bbox: 0.2098, loss_mask: 0.2153, loss: 0.6433 +2022-09-22 20:40:19,265 - mmdet - INFO - Epoch [20][4550/7330] lr: 1.000e-04, eta: 15:04:09, time: 0.430, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0321, loss_cls: 0.1624, acc: 94.0491, loss_bbox: 0.2067, loss_mask: 0.2145, loss: 0.6363 +2022-09-22 20:40:40,970 - mmdet - INFO - Epoch [20][4600/7330] lr: 1.000e-04, eta: 15:03:45, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0331, loss_cls: 0.1658, acc: 93.8359, loss_bbox: 0.2112, loss_mask: 0.2113, loss: 0.6438 +2022-09-22 20:41:02,945 - mmdet - INFO - Epoch [20][4650/7330] lr: 1.000e-04, eta: 15:03:22, time: 0.440, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0313, loss_cls: 0.1635, acc: 94.0713, loss_bbox: 0.2036, loss_mask: 0.2132, loss: 0.6333 +2022-09-22 20:41:24,355 - mmdet - INFO - Epoch [20][4700/7330] lr: 1.000e-04, eta: 15:02:58, time: 0.428, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0289, loss_cls: 0.1529, acc: 94.3784, loss_bbox: 0.1924, loss_mask: 0.2093, loss: 0.6040 +2022-09-22 20:41:46,214 - mmdet - INFO - Epoch [20][4750/7330] lr: 1.000e-04, eta: 15:02:34, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0347, loss_cls: 0.1633, acc: 93.9385, loss_bbox: 0.2115, loss_mask: 0.2223, loss: 0.6577 +2022-09-22 20:42:07,923 - mmdet - INFO - Epoch [20][4800/7330] lr: 1.000e-04, eta: 15:02:10, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0310, loss_cls: 0.1641, acc: 94.0266, loss_bbox: 0.2059, loss_mask: 0.2116, loss: 0.6357 +2022-09-22 20:42:30,029 - mmdet - INFO - Epoch [20][4850/7330] lr: 1.000e-04, eta: 15:01:47, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0306, loss_cls: 0.1623, acc: 94.0244, loss_bbox: 0.2063, loss_mask: 0.2156, loss: 0.6377 +2022-09-22 20:42:51,897 - mmdet - INFO - Epoch [20][4900/7330] lr: 1.000e-04, eta: 15:01:23, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0318, loss_cls: 0.1652, acc: 93.9976, loss_bbox: 0.2110, loss_mask: 0.2159, loss: 0.6442 +2022-09-22 20:43:13,742 - mmdet - INFO - Epoch [20][4950/7330] lr: 1.000e-04, eta: 15:01:00, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0308, loss_cls: 0.1636, acc: 93.9905, loss_bbox: 0.2062, loss_mask: 0.2174, loss: 0.6404 +2022-09-22 20:43:35,579 - mmdet - INFO - Epoch [20][5000/7330] lr: 1.000e-04, eta: 15:00:36, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0309, loss_cls: 0.1563, acc: 94.2166, loss_bbox: 0.2006, loss_mask: 0.2091, loss: 0.6194 +2022-09-22 20:43:57,387 - mmdet - INFO - Epoch [20][5050/7330] lr: 1.000e-04, eta: 15:00:12, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0322, loss_cls: 0.1613, acc: 94.1248, loss_bbox: 0.2040, loss_mask: 0.2147, loss: 0.6357 +2022-09-22 20:44:19,527 - mmdet - INFO - Epoch [20][5100/7330] lr: 1.000e-04, eta: 14:59:49, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0308, loss_cls: 0.1610, acc: 94.1597, loss_bbox: 0.1996, loss_mask: 0.2126, loss: 0.6274 +2022-09-22 20:44:41,444 - mmdet - INFO - Epoch [20][5150/7330] lr: 1.000e-04, eta: 14:59:26, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0314, loss_cls: 0.1652, acc: 93.9546, loss_bbox: 0.2084, loss_mask: 0.2121, loss: 0.6408 +2022-09-22 20:45:03,269 - mmdet - INFO - Epoch [20][5200/7330] lr: 1.000e-04, eta: 14:59:02, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0297, loss_cls: 0.1513, acc: 94.4519, loss_bbox: 0.1949, loss_mask: 0.2102, loss: 0.6079 +2022-09-22 20:45:24,706 - mmdet - INFO - Epoch [20][5250/7330] lr: 1.000e-04, eta: 14:58:38, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0297, loss_cls: 0.1601, acc: 94.1335, loss_bbox: 0.2000, loss_mask: 0.2065, loss: 0.6151 +2022-09-22 20:45:46,504 - mmdet - INFO - Epoch [20][5300/7330] lr: 1.000e-04, eta: 14:58:14, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0326, loss_cls: 0.1713, acc: 93.7820, loss_bbox: 0.2104, loss_mask: 0.2127, loss: 0.6511 +2022-09-22 20:46:08,251 - mmdet - INFO - Epoch [20][5350/7330] lr: 1.000e-04, eta: 14:57:50, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0310, loss_cls: 0.1599, acc: 94.1194, loss_bbox: 0.2002, loss_mask: 0.2065, loss: 0.6183 +2022-09-22 20:46:29,973 - mmdet - INFO - Epoch [20][5400/7330] lr: 1.000e-04, eta: 14:57:26, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0323, loss_cls: 0.1615, acc: 94.0667, loss_bbox: 0.2061, loss_mask: 0.2178, loss: 0.6405 +2022-09-22 20:46:52,101 - mmdet - INFO - Epoch [20][5450/7330] lr: 1.000e-04, eta: 14:57:03, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0300, loss_cls: 0.1546, acc: 94.3293, loss_bbox: 0.1977, loss_mask: 0.2154, loss: 0.6189 +2022-09-22 20:47:13,804 - mmdet - INFO - Epoch [20][5500/7330] lr: 1.000e-04, eta: 14:56:39, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0317, loss_cls: 0.1551, acc: 94.3093, loss_bbox: 0.2011, loss_mask: 0.2120, loss: 0.6209 +2022-09-22 20:47:35,299 - mmdet - INFO - Epoch [20][5550/7330] lr: 1.000e-04, eta: 14:56:15, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0307, loss_cls: 0.1590, acc: 94.2676, loss_bbox: 0.2001, loss_mask: 0.2105, loss: 0.6229 +2022-09-22 20:47:57,239 - mmdet - INFO - Epoch [20][5600/7330] lr: 1.000e-04, eta: 14:55:52, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0301, loss_cls: 0.1579, acc: 94.2693, loss_bbox: 0.1977, loss_mask: 0.2104, loss: 0.6160 +2022-09-22 20:48:18,976 - mmdet - INFO - Epoch [20][5650/7330] lr: 1.000e-04, eta: 14:55:28, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0302, loss_cls: 0.1656, acc: 93.9148, loss_bbox: 0.2082, loss_mask: 0.2176, loss: 0.6434 +2022-09-22 20:48:41,160 - mmdet - INFO - Epoch [20][5700/7330] lr: 1.000e-04, eta: 14:55:05, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0314, loss_cls: 0.1705, acc: 93.8806, loss_bbox: 0.2014, loss_mask: 0.2099, loss: 0.6353 +2022-09-22 20:49:02,575 - mmdet - INFO - Epoch [20][5750/7330] lr: 1.000e-04, eta: 14:54:41, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0332, loss_cls: 0.1567, acc: 94.1833, loss_bbox: 0.2039, loss_mask: 0.2084, loss: 0.6248 +2022-09-22 20:49:24,209 - mmdet - INFO - Epoch [20][5800/7330] lr: 1.000e-04, eta: 14:54:17, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0297, loss_cls: 0.1609, acc: 94.1472, loss_bbox: 0.2008, loss_mask: 0.2125, loss: 0.6245 +2022-09-22 20:49:45,810 - mmdet - INFO - Epoch [20][5850/7330] lr: 1.000e-04, eta: 14:53:53, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0304, loss_cls: 0.1598, acc: 94.2422, loss_bbox: 0.1998, loss_mask: 0.2156, loss: 0.6272 +2022-09-22 20:50:07,894 - mmdet - INFO - Epoch [20][5900/7330] lr: 1.000e-04, eta: 14:53:30, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0317, loss_cls: 0.1635, acc: 93.8875, loss_bbox: 0.2093, loss_mask: 0.2131, loss: 0.6413 +2022-09-22 20:50:29,552 - mmdet - INFO - Epoch [20][5950/7330] lr: 1.000e-04, eta: 14:53:06, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0328, loss_cls: 0.1694, acc: 93.9241, loss_bbox: 0.2107, loss_mask: 0.2175, loss: 0.6537 +2022-09-22 20:50:51,391 - mmdet - INFO - Epoch [20][6000/7330] lr: 1.000e-04, eta: 14:52:42, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0333, loss_cls: 0.1681, acc: 93.7682, loss_bbox: 0.2128, loss_mask: 0.2169, loss: 0.6534 +2022-09-22 20:51:13,111 - mmdet - INFO - Epoch [20][6050/7330] lr: 1.000e-04, eta: 14:52:19, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0333, loss_cls: 0.1684, acc: 93.8333, loss_bbox: 0.2148, loss_mask: 0.2232, loss: 0.6625 +2022-09-22 20:51:34,845 - mmdet - INFO - Epoch [20][6100/7330] lr: 1.000e-04, eta: 14:51:55, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0315, loss_cls: 0.1675, acc: 93.9819, loss_bbox: 0.2069, loss_mask: 0.2131, loss: 0.6417 +2022-09-22 20:51:56,220 - mmdet - INFO - Epoch [20][6150/7330] lr: 1.000e-04, eta: 14:51:31, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0308, loss_cls: 0.1574, acc: 94.3152, loss_bbox: 0.1982, loss_mask: 0.2111, loss: 0.6193 +2022-09-22 20:52:18,108 - mmdet - INFO - Epoch [20][6200/7330] lr: 1.000e-04, eta: 14:51:07, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0316, loss_cls: 0.1637, acc: 93.9915, loss_bbox: 0.2067, loss_mask: 0.2159, loss: 0.6389 +2022-09-22 20:52:40,009 - mmdet - INFO - Epoch [20][6250/7330] lr: 1.000e-04, eta: 14:50:44, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0318, loss_cls: 0.1680, acc: 93.8149, loss_bbox: 0.2151, loss_mask: 0.2159, loss: 0.6523 +2022-09-22 20:53:01,508 - mmdet - INFO - Epoch [20][6300/7330] lr: 1.000e-04, eta: 14:50:20, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0291, loss_cls: 0.1585, acc: 94.2585, loss_bbox: 0.1972, loss_mask: 0.2120, loss: 0.6179 +2022-09-22 20:53:23,610 - mmdet - INFO - Epoch [20][6350/7330] lr: 1.000e-04, eta: 14:49:56, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0323, loss_cls: 0.1655, acc: 93.9480, loss_bbox: 0.2111, loss_mask: 0.2154, loss: 0.6464 +2022-09-22 20:53:45,666 - mmdet - INFO - Epoch [20][6400/7330] lr: 1.000e-04, eta: 14:49:33, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0305, loss_cls: 0.1547, acc: 94.3743, loss_bbox: 0.1970, loss_mask: 0.2089, loss: 0.6125 +2022-09-22 20:54:07,373 - mmdet - INFO - Epoch [20][6450/7330] lr: 1.000e-04, eta: 14:49:09, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0334, loss_cls: 0.1665, acc: 93.9077, loss_bbox: 0.2057, loss_mask: 0.2120, loss: 0.6398 +2022-09-22 20:54:29,134 - mmdet - INFO - Epoch [20][6500/7330] lr: 1.000e-04, eta: 14:48:46, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0298, loss_cls: 0.1581, acc: 94.2454, loss_bbox: 0.1971, loss_mask: 0.2112, loss: 0.6183 +2022-09-22 20:54:51,122 - mmdet - INFO - Epoch [20][6550/7330] lr: 1.000e-04, eta: 14:48:22, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0315, loss_cls: 0.1589, acc: 94.1846, loss_bbox: 0.2041, loss_mask: 0.2140, loss: 0.6297 +2022-09-22 20:55:13,288 - mmdet - INFO - Epoch [20][6600/7330] lr: 1.000e-04, eta: 14:47:59, time: 0.443, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0293, loss_cls: 0.1569, acc: 94.1877, loss_bbox: 0.1973, loss_mask: 0.2052, loss: 0.6073 +2022-09-22 20:55:35,347 - mmdet - INFO - Epoch [20][6650/7330] lr: 1.000e-04, eta: 14:47:36, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0297, loss_cls: 0.1532, acc: 94.3608, loss_bbox: 0.1924, loss_mask: 0.2090, loss: 0.6080 +2022-09-22 20:55:58,154 - mmdet - INFO - Epoch [20][6700/7330] lr: 1.000e-04, eta: 14:47:14, time: 0.455, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0318, loss_cls: 0.1527, acc: 94.3503, loss_bbox: 0.2005, loss_mask: 0.2101, loss: 0.6152 +2022-09-22 20:56:20,404 - mmdet - INFO - Epoch [20][6750/7330] lr: 1.000e-04, eta: 14:46:51, time: 0.446, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0324, loss_cls: 0.1592, acc: 94.1548, loss_bbox: 0.2015, loss_mask: 0.2142, loss: 0.6285 +2022-09-22 20:56:42,468 - mmdet - INFO - Epoch [20][6800/7330] lr: 1.000e-04, eta: 14:46:27, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0297, loss_cls: 0.1529, acc: 94.4470, loss_bbox: 0.1945, loss_mask: 0.2083, loss: 0.6070 +2022-09-22 20:57:04,553 - mmdet - INFO - Epoch [20][6850/7330] lr: 1.000e-04, eta: 14:46:04, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0312, loss_cls: 0.1602, acc: 94.0640, loss_bbox: 0.2029, loss_mask: 0.2158, loss: 0.6322 +2022-09-22 20:57:26,524 - mmdet - INFO - Epoch [20][6900/7330] lr: 1.000e-04, eta: 14:45:41, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0283, loss_cls: 0.1570, acc: 94.2576, loss_bbox: 0.2003, loss_mask: 0.2137, loss: 0.6195 +2022-09-22 20:57:48,550 - mmdet - INFO - Epoch [20][6950/7330] lr: 1.000e-04, eta: 14:45:17, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0326, loss_cls: 0.1574, acc: 94.2339, loss_bbox: 0.2028, loss_mask: 0.2089, loss: 0.6239 +2022-09-22 20:58:10,047 - mmdet - INFO - Epoch [20][7000/7330] lr: 1.000e-04, eta: 14:44:53, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0323, loss_cls: 0.1585, acc: 94.1477, loss_bbox: 0.2066, loss_mask: 0.2100, loss: 0.6290 +2022-09-22 20:58:31,832 - mmdet - INFO - Epoch [20][7050/7330] lr: 1.000e-04, eta: 14:44:30, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0304, loss_cls: 0.1608, acc: 94.1716, loss_bbox: 0.1973, loss_mask: 0.2106, loss: 0.6203 +2022-09-22 20:58:53,767 - mmdet - INFO - Epoch [20][7100/7330] lr: 1.000e-04, eta: 14:44:06, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0296, loss_cls: 0.1503, acc: 94.5334, loss_bbox: 0.1913, loss_mask: 0.2130, loss: 0.6043 +2022-09-22 20:59:16,023 - mmdet - INFO - Epoch [20][7150/7330] lr: 1.000e-04, eta: 14:43:43, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0310, loss_cls: 0.1577, acc: 94.3044, loss_bbox: 0.1969, loss_mask: 0.2161, loss: 0.6240 +2022-09-22 20:59:37,965 - mmdet - INFO - Epoch [20][7200/7330] lr: 1.000e-04, eta: 14:43:20, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0310, loss_cls: 0.1618, acc: 94.1165, loss_bbox: 0.2002, loss_mask: 0.2119, loss: 0.6276 +2022-09-22 21:00:00,121 - mmdet - INFO - Epoch [20][7250/7330] lr: 1.000e-04, eta: 14:42:57, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0316, loss_cls: 0.1609, acc: 94.1716, loss_bbox: 0.2059, loss_mask: 0.2186, loss: 0.6404 +2022-09-22 21:00:21,962 - mmdet - INFO - Epoch [20][7300/7330] lr: 1.000e-04, eta: 14:42:33, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0313, loss_cls: 0.1614, acc: 94.1477, loss_bbox: 0.1980, loss_mask: 0.2072, loss: 0.6194 +2022-09-22 21:00:44,513 - mmdet - INFO - Saving checkpoint at 20 epochs +2022-09-22 21:02:54,656 - mmdet - INFO - Evaluating bbox... +2022-09-22 21:03:21,387 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.483 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.706 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.529 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.324 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.523 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.624 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.612 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.612 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.612 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.441 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.652 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.756 + +2022-09-22 21:03:21,387 - mmdet - INFO - Evaluating segm... +2022-09-22 21:03:52,167 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.431 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.677 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.465 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.245 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.468 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.620 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.552 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.552 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.552 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.380 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.592 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.712 + +2022-09-22 21:03:52,862 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:03:52,864 - mmdet - INFO - Epoch(val) [20][625] bbox_mAP: 0.4830, bbox_mAP_50: 0.7060, bbox_mAP_75: 0.5290, bbox_mAP_s: 0.3240, bbox_mAP_m: 0.5230, bbox_mAP_l: 0.6240, bbox_mAP_copypaste: 0.483 0.706 0.529 0.324 0.523 0.624, segm_mAP: 0.4310, segm_mAP_50: 0.6770, segm_mAP_75: 0.4650, segm_mAP_s: 0.2450, segm_mAP_m: 0.4680, segm_mAP_l: 0.6200, segm_mAP_copypaste: 0.431 0.677 0.465 0.245 0.468 0.620 +2022-09-22 21:06:26,435 - mmdet - INFO - Epoch [21][50/7330] lr: 1.000e-04, eta: 14:44:34, time: 3.071, data_time: 2.633, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0299, loss_cls: 0.1522, acc: 94.4084, loss_bbox: 0.1956, loss_mask: 0.2048, loss: 0.6062 +2022-09-22 21:06:48,789 - mmdet - INFO - Epoch [21][100/7330] lr: 1.000e-04, eta: 14:44:11, time: 0.447, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0314, loss_cls: 0.1520, acc: 94.4387, loss_bbox: 0.2014, loss_mask: 0.2091, loss: 0.6132 +2022-09-22 21:07:10,939 - mmdet - INFO - Epoch [21][150/7330] lr: 1.000e-04, eta: 14:43:47, time: 0.442, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0279, loss_cls: 0.1480, acc: 94.6074, loss_bbox: 0.1918, loss_mask: 0.2038, loss: 0.5905 +2022-09-22 21:07:32,738 - mmdet - INFO - Epoch [21][200/7330] lr: 1.000e-04, eta: 14:43:23, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0302, loss_cls: 0.1570, acc: 94.2773, loss_bbox: 0.2033, loss_mask: 0.2161, loss: 0.6272 +2022-09-22 21:07:55,451 - mmdet - INFO - Epoch [21][250/7330] lr: 1.000e-04, eta: 14:43:01, time: 0.452, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0300, loss_cls: 0.1578, acc: 94.2185, loss_bbox: 0.2024, loss_mask: 0.2123, loss: 0.6244 +2022-09-22 21:08:17,646 - mmdet - INFO - Epoch [21][300/7330] lr: 1.000e-04, eta: 14:42:38, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0308, loss_cls: 0.1456, acc: 94.6025, loss_bbox: 0.1946, loss_mask: 0.2112, loss: 0.6019 +2022-09-22 21:08:39,752 - mmdet - INFO - Epoch [21][350/7330] lr: 1.000e-04, eta: 14:42:14, time: 0.443, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0319, loss_cls: 0.1575, acc: 94.3398, loss_bbox: 0.2017, loss_mask: 0.2135, loss: 0.6289 +2022-09-22 21:09:02,631 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:09:02,633 - mmdet - INFO - Epoch [21][400/7330] lr: 1.000e-04, eta: 14:41:52, time: 0.458, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0317, loss_cls: 0.1602, acc: 94.0930, loss_bbox: 0.2080, loss_mask: 0.2126, loss: 0.6363 +2022-09-22 21:09:24,387 - mmdet - INFO - Epoch [21][450/7330] lr: 1.000e-04, eta: 14:41:28, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0325, loss_cls: 0.1629, acc: 94.0032, loss_bbox: 0.2091, loss_mask: 0.2124, loss: 0.6391 +2022-09-22 21:09:46,938 - mmdet - INFO - Epoch [21][500/7330] lr: 1.000e-04, eta: 14:41:06, time: 0.452, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0301, loss_cls: 0.1554, acc: 94.3152, loss_bbox: 0.1964, loss_mask: 0.2103, loss: 0.6122 +2022-09-22 21:10:09,295 - mmdet - INFO - Epoch [21][550/7330] lr: 1.000e-04, eta: 14:40:43, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0296, loss_cls: 0.1489, acc: 94.6086, loss_bbox: 0.1908, loss_mask: 0.2032, loss: 0.5930 +2022-09-22 21:10:31,054 - mmdet - INFO - Epoch [21][600/7330] lr: 1.000e-04, eta: 14:40:19, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0324, loss_cls: 0.1623, acc: 94.0603, loss_bbox: 0.2096, loss_mask: 0.2196, loss: 0.6459 +2022-09-22 21:10:52,928 - mmdet - INFO - Epoch [21][650/7330] lr: 1.000e-04, eta: 14:39:55, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0317, loss_cls: 0.1586, acc: 94.3315, loss_bbox: 0.1995, loss_mask: 0.2089, loss: 0.6220 +2022-09-22 21:11:14,846 - mmdet - INFO - Epoch [21][700/7330] lr: 1.000e-04, eta: 14:39:32, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0326, loss_cls: 0.1633, acc: 94.0552, loss_bbox: 0.2109, loss_mask: 0.2175, loss: 0.6454 +2022-09-22 21:11:36,613 - mmdet - INFO - Epoch [21][750/7330] lr: 1.000e-04, eta: 14:39:08, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0320, loss_cls: 0.1557, acc: 94.2297, loss_bbox: 0.1977, loss_mask: 0.2130, loss: 0.6192 +2022-09-22 21:11:58,872 - mmdet - INFO - Epoch [21][800/7330] lr: 1.000e-04, eta: 14:38:45, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0311, loss_cls: 0.1578, acc: 94.1550, loss_bbox: 0.2032, loss_mask: 0.2121, loss: 0.6263 +2022-09-22 21:12:20,700 - mmdet - INFO - Epoch [21][850/7330] lr: 1.000e-04, eta: 14:38:21, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0319, loss_cls: 0.1545, acc: 94.3574, loss_bbox: 0.1972, loss_mask: 0.2142, loss: 0.6190 +2022-09-22 21:12:42,872 - mmdet - INFO - Epoch [21][900/7330] lr: 1.000e-04, eta: 14:37:58, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0308, loss_cls: 0.1609, acc: 94.1677, loss_bbox: 0.2078, loss_mask: 0.2102, loss: 0.6315 +2022-09-22 21:13:04,972 - mmdet - INFO - Epoch [21][950/7330] lr: 1.000e-04, eta: 14:37:34, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0306, loss_cls: 0.1610, acc: 94.1108, loss_bbox: 0.2050, loss_mask: 0.2108, loss: 0.6301 +2022-09-22 21:13:26,425 - mmdet - INFO - Epoch [21][1000/7330] lr: 1.000e-04, eta: 14:37:10, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0283, loss_cls: 0.1563, acc: 94.3533, loss_bbox: 0.2003, loss_mask: 0.2085, loss: 0.6139 +2022-09-22 21:13:48,321 - mmdet - INFO - Epoch [21][1050/7330] lr: 1.000e-04, eta: 14:36:47, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0323, loss_cls: 0.1549, acc: 94.2883, loss_bbox: 0.2061, loss_mask: 0.2091, loss: 0.6235 +2022-09-22 21:14:10,427 - mmdet - INFO - Epoch [21][1100/7330] lr: 1.000e-04, eta: 14:36:23, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0337, loss_cls: 0.1707, acc: 93.7488, loss_bbox: 0.2120, loss_mask: 0.2193, loss: 0.6579 +2022-09-22 21:14:32,530 - mmdet - INFO - Epoch [21][1150/7330] lr: 1.000e-04, eta: 14:36:00, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0301, loss_cls: 0.1559, acc: 94.2859, loss_bbox: 0.1993, loss_mask: 0.2070, loss: 0.6119 +2022-09-22 21:14:53,993 - mmdet - INFO - Epoch [21][1200/7330] lr: 1.000e-04, eta: 14:35:36, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0322, loss_cls: 0.1569, acc: 94.3459, loss_bbox: 0.2008, loss_mask: 0.2088, loss: 0.6206 +2022-09-22 21:15:15,567 - mmdet - INFO - Epoch [21][1250/7330] lr: 1.000e-04, eta: 14:35:12, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0314, loss_cls: 0.1606, acc: 94.1335, loss_bbox: 0.2047, loss_mask: 0.2113, loss: 0.6302 +2022-09-22 21:15:37,112 - mmdet - INFO - Epoch [21][1300/7330] lr: 1.000e-04, eta: 14:34:48, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0298, loss_cls: 0.1588, acc: 94.2268, loss_bbox: 0.2007, loss_mask: 0.2046, loss: 0.6150 +2022-09-22 21:15:59,606 - mmdet - INFO - Epoch [21][1350/7330] lr: 1.000e-04, eta: 14:34:25, time: 0.451, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0330, loss_cls: 0.1673, acc: 93.8340, loss_bbox: 0.2107, loss_mask: 0.2143, loss: 0.6500 +2022-09-22 21:16:21,871 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:16:21,873 - mmdet - INFO - Epoch [21][1400/7330] lr: 1.000e-04, eta: 14:34:02, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0331, loss_cls: 0.1612, acc: 94.0149, loss_bbox: 0.2083, loss_mask: 0.2133, loss: 0.6382 +2022-09-22 21:16:44,002 - mmdet - INFO - Epoch [21][1450/7330] lr: 1.000e-04, eta: 14:33:39, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0308, loss_cls: 0.1541, acc: 94.2983, loss_bbox: 0.1977, loss_mask: 0.2149, loss: 0.6185 +2022-09-22 21:17:05,845 - mmdet - INFO - Epoch [21][1500/7330] lr: 1.000e-04, eta: 14:33:15, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0304, loss_cls: 0.1562, acc: 94.2766, loss_bbox: 0.2032, loss_mask: 0.2073, loss: 0.6180 +2022-09-22 21:17:27,780 - mmdet - INFO - Epoch [21][1550/7330] lr: 1.000e-04, eta: 14:32:51, time: 0.439, data_time: 0.012, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0301, loss_cls: 0.1543, acc: 94.4109, loss_bbox: 0.1977, loss_mask: 0.2057, loss: 0.6084 +2022-09-22 21:17:49,366 - mmdet - INFO - Epoch [21][1600/7330] lr: 1.000e-04, eta: 14:32:28, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0309, loss_cls: 0.1612, acc: 93.9778, loss_bbox: 0.2124, loss_mask: 0.2136, loss: 0.6403 +2022-09-22 21:18:10,697 - mmdet - INFO - Epoch [21][1650/7330] lr: 1.000e-04, eta: 14:32:03, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0310, loss_cls: 0.1546, acc: 94.3418, loss_bbox: 0.1977, loss_mask: 0.2064, loss: 0.6104 +2022-09-22 21:18:32,492 - mmdet - INFO - Epoch [21][1700/7330] lr: 1.000e-04, eta: 14:31:40, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0291, loss_cls: 0.1518, acc: 94.4214, loss_bbox: 0.1968, loss_mask: 0.2078, loss: 0.6061 +2022-09-22 21:18:54,425 - mmdet - INFO - Epoch [21][1750/7330] lr: 1.000e-04, eta: 14:31:16, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0302, loss_cls: 0.1538, acc: 94.2959, loss_bbox: 0.2035, loss_mask: 0.2163, loss: 0.6247 +2022-09-22 21:19:16,878 - mmdet - INFO - Epoch [21][1800/7330] lr: 1.000e-04, eta: 14:30:53, time: 0.449, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0321, loss_cls: 0.1627, acc: 94.1084, loss_bbox: 0.2057, loss_mask: 0.2158, loss: 0.6404 +2022-09-22 21:19:38,780 - mmdet - INFO - Epoch [21][1850/7330] lr: 1.000e-04, eta: 14:30:30, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0326, loss_cls: 0.1663, acc: 93.9060, loss_bbox: 0.2135, loss_mask: 0.2149, loss: 0.6521 +2022-09-22 21:20:00,550 - mmdet - INFO - Epoch [21][1900/7330] lr: 1.000e-04, eta: 14:30:06, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0307, loss_cls: 0.1562, acc: 94.3279, loss_bbox: 0.1971, loss_mask: 0.2073, loss: 0.6121 +2022-09-22 21:20:22,297 - mmdet - INFO - Epoch [21][1950/7330] lr: 1.000e-04, eta: 14:29:42, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0325, loss_cls: 0.1593, acc: 94.1499, loss_bbox: 0.2022, loss_mask: 0.2134, loss: 0.6297 +2022-09-22 21:20:44,077 - mmdet - INFO - Epoch [21][2000/7330] lr: 1.000e-04, eta: 14:29:18, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0309, loss_cls: 0.1626, acc: 94.0820, loss_bbox: 0.2028, loss_mask: 0.2121, loss: 0.6300 +2022-09-22 21:21:05,753 - mmdet - INFO - Epoch [21][2050/7330] lr: 1.000e-04, eta: 14:28:55, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0303, loss_cls: 0.1632, acc: 94.0334, loss_bbox: 0.2042, loss_mask: 0.2113, loss: 0.6303 +2022-09-22 21:21:27,886 - mmdet - INFO - Epoch [21][2100/7330] lr: 1.000e-04, eta: 14:28:31, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0334, loss_cls: 0.1684, acc: 93.7878, loss_bbox: 0.2183, loss_mask: 0.2182, loss: 0.6614 +2022-09-22 21:21:49,988 - mmdet - INFO - Epoch [21][2150/7330] lr: 1.000e-04, eta: 14:28:08, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0303, loss_cls: 0.1586, acc: 94.2000, loss_bbox: 0.2016, loss_mask: 0.2122, loss: 0.6246 +2022-09-22 21:22:11,293 - mmdet - INFO - Epoch [21][2200/7330] lr: 1.000e-04, eta: 14:27:44, time: 0.426, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0315, loss_cls: 0.1611, acc: 94.1035, loss_bbox: 0.2016, loss_mask: 0.2111, loss: 0.6277 +2022-09-22 21:22:33,025 - mmdet - INFO - Epoch [21][2250/7330] lr: 1.000e-04, eta: 14:27:20, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0285, loss_cls: 0.1571, acc: 94.3008, loss_bbox: 0.2007, loss_mask: 0.2072, loss: 0.6134 +2022-09-22 21:22:54,725 - mmdet - INFO - Epoch [21][2300/7330] lr: 1.000e-04, eta: 14:26:56, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0308, loss_cls: 0.1548, acc: 94.4338, loss_bbox: 0.1971, loss_mask: 0.2118, loss: 0.6157 +2022-09-22 21:23:16,349 - mmdet - INFO - Epoch [21][2350/7330] lr: 1.000e-04, eta: 14:26:32, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0313, loss_cls: 0.1609, acc: 94.1528, loss_bbox: 0.2006, loss_mask: 0.2164, loss: 0.6304 +2022-09-22 21:23:38,006 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:23:38,008 - mmdet - INFO - Epoch [21][2400/7330] lr: 1.000e-04, eta: 14:26:08, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0318, loss_cls: 0.1543, acc: 94.3345, loss_bbox: 0.2015, loss_mask: 0.2142, loss: 0.6249 +2022-09-22 21:24:00,248 - mmdet - INFO - Epoch [21][2450/7330] lr: 1.000e-04, eta: 14:25:45, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0302, loss_cls: 0.1623, acc: 94.1152, loss_bbox: 0.2065, loss_mask: 0.2140, loss: 0.6348 +2022-09-22 21:24:21,994 - mmdet - INFO - Epoch [21][2500/7330] lr: 1.000e-04, eta: 14:25:22, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0307, loss_cls: 0.1621, acc: 94.0837, loss_bbox: 0.2051, loss_mask: 0.2156, loss: 0.6345 +2022-09-22 21:24:43,790 - mmdet - INFO - Epoch [21][2550/7330] lr: 1.000e-04, eta: 14:24:58, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0302, loss_cls: 0.1568, acc: 94.2729, loss_bbox: 0.2015, loss_mask: 0.2138, loss: 0.6244 +2022-09-22 21:25:05,511 - mmdet - INFO - Epoch [21][2600/7330] lr: 1.000e-04, eta: 14:24:34, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0303, loss_cls: 0.1572, acc: 94.2886, loss_bbox: 0.1970, loss_mask: 0.2115, loss: 0.6161 +2022-09-22 21:25:26,687 - mmdet - INFO - Epoch [21][2650/7330] lr: 1.000e-04, eta: 14:24:10, time: 0.423, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0298, loss_cls: 0.1561, acc: 94.3330, loss_bbox: 0.1971, loss_mask: 0.2118, loss: 0.6158 +2022-09-22 21:25:48,654 - mmdet - INFO - Epoch [21][2700/7330] lr: 1.000e-04, eta: 14:23:46, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0319, loss_cls: 0.1584, acc: 94.1763, loss_bbox: 0.2034, loss_mask: 0.2145, loss: 0.6315 +2022-09-22 21:26:10,689 - mmdet - INFO - Epoch [21][2750/7330] lr: 1.000e-04, eta: 14:23:23, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0312, loss_cls: 0.1512, acc: 94.4463, loss_bbox: 0.1995, loss_mask: 0.2117, loss: 0.6147 +2022-09-22 21:26:32,365 - mmdet - INFO - Epoch [21][2800/7330] lr: 1.000e-04, eta: 14:22:59, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0298, loss_cls: 0.1570, acc: 94.3345, loss_bbox: 0.1977, loss_mask: 0.2053, loss: 0.6127 +2022-09-22 21:26:54,808 - mmdet - INFO - Epoch [21][2850/7330] lr: 1.000e-04, eta: 14:22:36, time: 0.450, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0304, loss_cls: 0.1519, acc: 94.3894, loss_bbox: 0.2007, loss_mask: 0.2105, loss: 0.6158 +2022-09-22 21:27:17,461 - mmdet - INFO - Epoch [21][2900/7330] lr: 1.000e-04, eta: 14:22:14, time: 0.453, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0300, loss_cls: 0.1578, acc: 94.2961, loss_bbox: 0.1948, loss_mask: 0.2112, loss: 0.6148 +2022-09-22 21:27:39,962 - mmdet - INFO - Epoch [21][2950/7330] lr: 1.000e-04, eta: 14:21:51, time: 0.450, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0300, loss_cls: 0.1628, acc: 94.0627, loss_bbox: 0.2067, loss_mask: 0.2079, loss: 0.6293 +2022-09-22 21:28:02,327 - mmdet - INFO - Epoch [21][3000/7330] lr: 1.000e-04, eta: 14:21:28, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0331, loss_cls: 0.1693, acc: 93.8691, loss_bbox: 0.2182, loss_mask: 0.2165, loss: 0.6605 +2022-09-22 21:28:24,373 - mmdet - INFO - Epoch [21][3050/7330] lr: 1.000e-04, eta: 14:21:05, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0318, loss_cls: 0.1604, acc: 94.2158, loss_bbox: 0.2018, loss_mask: 0.2099, loss: 0.6250 +2022-09-22 21:28:46,256 - mmdet - INFO - Epoch [21][3100/7330] lr: 1.000e-04, eta: 14:20:41, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0306, loss_cls: 0.1590, acc: 94.2104, loss_bbox: 0.1986, loss_mask: 0.2087, loss: 0.6182 +2022-09-22 21:29:07,820 - mmdet - INFO - Epoch [21][3150/7330] lr: 1.000e-04, eta: 14:20:17, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0291, loss_cls: 0.1574, acc: 94.2344, loss_bbox: 0.1998, loss_mask: 0.2130, loss: 0.6204 +2022-09-22 21:29:29,838 - mmdet - INFO - Epoch [21][3200/7330] lr: 1.000e-04, eta: 14:19:54, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0317, loss_cls: 0.1563, acc: 94.3013, loss_bbox: 0.1980, loss_mask: 0.2104, loss: 0.6166 +2022-09-22 21:29:51,834 - mmdet - INFO - Epoch [21][3250/7330] lr: 1.000e-04, eta: 14:19:31, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0312, loss_cls: 0.1622, acc: 94.1265, loss_bbox: 0.2042, loss_mask: 0.2203, loss: 0.6392 +2022-09-22 21:30:13,827 - mmdet - INFO - Epoch [21][3300/7330] lr: 1.000e-04, eta: 14:19:07, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1551, acc: 94.2632, loss_bbox: 0.1956, loss_mask: 0.2106, loss: 0.6130 +2022-09-22 21:30:35,552 - mmdet - INFO - Epoch [21][3350/7330] lr: 1.000e-04, eta: 14:18:43, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0303, loss_cls: 0.1566, acc: 94.3765, loss_bbox: 0.2048, loss_mask: 0.2135, loss: 0.6268 +2022-09-22 21:30:57,407 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:30:57,411 - mmdet - INFO - Epoch [21][3400/7330] lr: 1.000e-04, eta: 14:18:20, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0298, loss_cls: 0.1563, acc: 94.3320, loss_bbox: 0.1975, loss_mask: 0.2112, loss: 0.6174 +2022-09-22 21:31:19,541 - mmdet - INFO - Epoch [21][3450/7330] lr: 1.000e-04, eta: 14:17:57, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0307, loss_cls: 0.1629, acc: 94.0310, loss_bbox: 0.2043, loss_mask: 0.2139, loss: 0.6339 +2022-09-22 21:31:42,195 - mmdet - INFO - Epoch [21][3500/7330] lr: 1.000e-04, eta: 14:17:34, time: 0.453, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0322, loss_cls: 0.1662, acc: 93.9390, loss_bbox: 0.2103, loss_mask: 0.2167, loss: 0.6455 +2022-09-22 21:32:04,323 - mmdet - INFO - Epoch [21][3550/7330] lr: 1.000e-04, eta: 14:17:11, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0296, loss_cls: 0.1553, acc: 94.2954, loss_bbox: 0.2019, loss_mask: 0.2161, loss: 0.6238 +2022-09-22 21:32:26,719 - mmdet - INFO - Epoch [21][3600/7330] lr: 1.000e-04, eta: 14:16:48, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0336, loss_cls: 0.1672, acc: 93.8423, loss_bbox: 0.2111, loss_mask: 0.2155, loss: 0.6497 +2022-09-22 21:32:48,509 - mmdet - INFO - Epoch [21][3650/7330] lr: 1.000e-04, eta: 14:16:24, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0285, loss_cls: 0.1605, acc: 94.1846, loss_bbox: 0.2010, loss_mask: 0.2077, loss: 0.6190 +2022-09-22 21:33:10,336 - mmdet - INFO - Epoch [21][3700/7330] lr: 1.000e-04, eta: 14:16:01, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0297, loss_cls: 0.1580, acc: 94.1592, loss_bbox: 0.2073, loss_mask: 0.2092, loss: 0.6242 +2022-09-22 21:33:32,457 - mmdet - INFO - Epoch [21][3750/7330] lr: 1.000e-04, eta: 14:15:38, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0317, loss_cls: 0.1618, acc: 94.1484, loss_bbox: 0.2075, loss_mask: 0.2162, loss: 0.6393 +2022-09-22 21:33:54,358 - mmdet - INFO - Epoch [21][3800/7330] lr: 1.000e-04, eta: 14:15:14, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0304, loss_cls: 0.1570, acc: 94.2959, loss_bbox: 0.2023, loss_mask: 0.2104, loss: 0.6211 +2022-09-22 21:34:16,051 - mmdet - INFO - Epoch [21][3850/7330] lr: 1.000e-04, eta: 14:14:50, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0311, loss_cls: 0.1562, acc: 94.3303, loss_bbox: 0.1995, loss_mask: 0.2113, loss: 0.6199 +2022-09-22 21:34:37,755 - mmdet - INFO - Epoch [21][3900/7330] lr: 1.000e-04, eta: 14:14:27, time: 0.434, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0312, loss_cls: 0.1605, acc: 94.1897, loss_bbox: 0.2020, loss_mask: 0.2108, loss: 0.6275 +2022-09-22 21:34:59,444 - mmdet - INFO - Epoch [21][3950/7330] lr: 1.000e-04, eta: 14:14:03, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0281, loss_cls: 0.1447, acc: 94.6970, loss_bbox: 0.1885, loss_mask: 0.2097, loss: 0.5905 +2022-09-22 21:35:21,695 - mmdet - INFO - Epoch [21][4000/7330] lr: 1.000e-04, eta: 14:13:40, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0315, loss_cls: 0.1681, acc: 93.6377, loss_bbox: 0.2137, loss_mask: 0.2166, loss: 0.6517 +2022-09-22 21:35:43,424 - mmdet - INFO - Epoch [21][4050/7330] lr: 1.000e-04, eta: 14:13:16, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0302, loss_cls: 0.1596, acc: 94.1401, loss_bbox: 0.2064, loss_mask: 0.2112, loss: 0.6278 +2022-09-22 21:36:05,360 - mmdet - INFO - Epoch [21][4100/7330] lr: 1.000e-04, eta: 14:12:53, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0304, loss_cls: 0.1515, acc: 94.3496, loss_bbox: 0.1974, loss_mask: 0.2127, loss: 0.6127 +2022-09-22 21:36:27,055 - mmdet - INFO - Epoch [21][4150/7330] lr: 1.000e-04, eta: 14:12:29, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0310, loss_cls: 0.1621, acc: 94.0266, loss_bbox: 0.2031, loss_mask: 0.2130, loss: 0.6301 +2022-09-22 21:36:49,255 - mmdet - INFO - Epoch [21][4200/7330] lr: 1.000e-04, eta: 14:12:06, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1646, acc: 94.0085, loss_bbox: 0.2108, loss_mask: 0.2131, loss: 0.6451 +2022-09-22 21:37:10,941 - mmdet - INFO - Epoch [21][4250/7330] lr: 1.000e-04, eta: 14:11:42, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0298, loss_cls: 0.1551, acc: 94.3755, loss_bbox: 0.1980, loss_mask: 0.2100, loss: 0.6113 +2022-09-22 21:37:33,446 - mmdet - INFO - Epoch [21][4300/7330] lr: 1.000e-04, eta: 14:11:19, time: 0.450, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0332, loss_cls: 0.1676, acc: 93.8831, loss_bbox: 0.2154, loss_mask: 0.2204, loss: 0.6600 +2022-09-22 21:37:55,492 - mmdet - INFO - Epoch [21][4350/7330] lr: 1.000e-04, eta: 14:10:56, time: 0.441, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0288, loss_cls: 0.1612, acc: 94.0955, loss_bbox: 0.2005, loss_mask: 0.2129, loss: 0.6237 +2022-09-22 21:38:17,173 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:38:17,177 - mmdet - INFO - Epoch [21][4400/7330] lr: 1.000e-04, eta: 14:10:32, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0328, loss_cls: 0.1629, acc: 94.0488, loss_bbox: 0.2076, loss_mask: 0.2113, loss: 0.6363 +2022-09-22 21:38:39,131 - mmdet - INFO - Epoch [21][4450/7330] lr: 1.000e-04, eta: 14:10:09, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0314, loss_cls: 0.1625, acc: 94.0347, loss_bbox: 0.2054, loss_mask: 0.2143, loss: 0.6364 +2022-09-22 21:39:01,121 - mmdet - INFO - Epoch [21][4500/7330] lr: 1.000e-04, eta: 14:09:46, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0312, loss_cls: 0.1596, acc: 94.1843, loss_bbox: 0.1990, loss_mask: 0.2095, loss: 0.6204 +2022-09-22 21:39:22,886 - mmdet - INFO - Epoch [21][4550/7330] lr: 1.000e-04, eta: 14:09:22, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0308, loss_cls: 0.1562, acc: 94.3372, loss_bbox: 0.1991, loss_mask: 0.2101, loss: 0.6166 +2022-09-22 21:39:45,139 - mmdet - INFO - Epoch [21][4600/7330] lr: 1.000e-04, eta: 14:08:59, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0309, loss_cls: 0.1560, acc: 94.3271, loss_bbox: 0.1950, loss_mask: 0.2127, loss: 0.6149 +2022-09-22 21:40:07,418 - mmdet - INFO - Epoch [21][4650/7330] lr: 1.000e-04, eta: 14:08:36, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0327, loss_cls: 0.1569, acc: 94.2566, loss_bbox: 0.2038, loss_mask: 0.2135, loss: 0.6293 +2022-09-22 21:40:28,836 - mmdet - INFO - Epoch [21][4700/7330] lr: 1.000e-04, eta: 14:08:12, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0288, loss_cls: 0.1479, acc: 94.4768, loss_bbox: 0.1929, loss_mask: 0.2072, loss: 0.5952 +2022-09-22 21:40:50,509 - mmdet - INFO - Epoch [21][4750/7330] lr: 1.000e-04, eta: 14:07:48, time: 0.433, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0329, loss_cls: 0.1626, acc: 94.1226, loss_bbox: 0.2072, loss_mask: 0.2076, loss: 0.6318 +2022-09-22 21:41:12,396 - mmdet - INFO - Epoch [21][4800/7330] lr: 1.000e-04, eta: 14:07:25, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0312, loss_cls: 0.1533, acc: 94.4314, loss_bbox: 0.2019, loss_mask: 0.2130, loss: 0.6208 +2022-09-22 21:41:34,321 - mmdet - INFO - Epoch [21][4850/7330] lr: 1.000e-04, eta: 14:07:01, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0299, loss_cls: 0.1546, acc: 94.2373, loss_bbox: 0.2003, loss_mask: 0.2081, loss: 0.6142 +2022-09-22 21:41:56,064 - mmdet - INFO - Epoch [21][4900/7330] lr: 1.000e-04, eta: 14:06:38, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0317, loss_cls: 0.1564, acc: 94.2695, loss_bbox: 0.2019, loss_mask: 0.2201, loss: 0.6341 +2022-09-22 21:42:18,044 - mmdet - INFO - Epoch [21][4950/7330] lr: 1.000e-04, eta: 14:06:14, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0343, loss_cls: 0.1634, acc: 94.0413, loss_bbox: 0.2014, loss_mask: 0.2093, loss: 0.6326 +2022-09-22 21:42:39,839 - mmdet - INFO - Epoch [21][5000/7330] lr: 1.000e-04, eta: 14:05:51, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0315, loss_cls: 0.1512, acc: 94.4141, loss_bbox: 0.2004, loss_mask: 0.2064, loss: 0.6132 +2022-09-22 21:43:01,996 - mmdet - INFO - Epoch [21][5050/7330] lr: 1.000e-04, eta: 14:05:28, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0299, loss_cls: 0.1540, acc: 94.3499, loss_bbox: 0.1980, loss_mask: 0.2117, loss: 0.6146 +2022-09-22 21:43:24,120 - mmdet - INFO - Epoch [21][5100/7330] lr: 1.000e-04, eta: 14:05:04, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0325, loss_cls: 0.1551, acc: 94.2466, loss_bbox: 0.2016, loss_mask: 0.2110, loss: 0.6237 +2022-09-22 21:43:45,916 - mmdet - INFO - Epoch [21][5150/7330] lr: 1.000e-04, eta: 14:04:41, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0296, loss_cls: 0.1570, acc: 94.2253, loss_bbox: 0.1960, loss_mask: 0.2138, loss: 0.6173 +2022-09-22 21:44:07,889 - mmdet - INFO - Epoch [21][5200/7330] lr: 1.000e-04, eta: 14:04:18, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0308, loss_cls: 0.1583, acc: 94.1208, loss_bbox: 0.2037, loss_mask: 0.2136, loss: 0.6260 +2022-09-22 21:44:29,680 - mmdet - INFO - Epoch [21][5250/7330] lr: 1.000e-04, eta: 14:03:54, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0309, loss_cls: 0.1659, acc: 93.9648, loss_bbox: 0.2061, loss_mask: 0.2092, loss: 0.6332 +2022-09-22 21:44:51,672 - mmdet - INFO - Epoch [21][5300/7330] lr: 1.000e-04, eta: 14:03:31, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0285, loss_cls: 0.1549, acc: 94.3088, loss_bbox: 0.1943, loss_mask: 0.2108, loss: 0.6079 +2022-09-22 21:45:13,839 - mmdet - INFO - Epoch [21][5350/7330] lr: 1.000e-04, eta: 14:03:08, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0317, loss_cls: 0.1663, acc: 93.9990, loss_bbox: 0.2067, loss_mask: 0.2132, loss: 0.6417 +2022-09-22 21:45:35,395 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:45:35,397 - mmdet - INFO - Epoch [21][5400/7330] lr: 1.000e-04, eta: 14:02:44, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0310, loss_cls: 0.1612, acc: 94.1147, loss_bbox: 0.2026, loss_mask: 0.2128, loss: 0.6314 +2022-09-22 21:45:57,760 - mmdet - INFO - Epoch [21][5450/7330] lr: 1.000e-04, eta: 14:02:21, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0317, loss_cls: 0.1645, acc: 94.1162, loss_bbox: 0.2013, loss_mask: 0.2120, loss: 0.6328 +2022-09-22 21:46:19,611 - mmdet - INFO - Epoch [21][5500/7330] lr: 1.000e-04, eta: 14:01:57, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0309, loss_cls: 0.1607, acc: 94.1360, loss_bbox: 0.2004, loss_mask: 0.2094, loss: 0.6236 +2022-09-22 21:46:41,055 - mmdet - INFO - Epoch [21][5550/7330] lr: 1.000e-04, eta: 14:01:33, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0317, loss_cls: 0.1683, acc: 93.8821, loss_bbox: 0.2148, loss_mask: 0.2159, loss: 0.6532 +2022-09-22 21:47:03,155 - mmdet - INFO - Epoch [21][5600/7330] lr: 1.000e-04, eta: 14:01:10, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0312, loss_cls: 0.1646, acc: 94.0342, loss_bbox: 0.2096, loss_mask: 0.2172, loss: 0.6454 +2022-09-22 21:47:24,976 - mmdet - INFO - Epoch [21][5650/7330] lr: 1.000e-04, eta: 14:00:47, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0321, loss_cls: 0.1550, acc: 94.2620, loss_bbox: 0.1997, loss_mask: 0.2085, loss: 0.6184 +2022-09-22 21:47:46,835 - mmdet - INFO - Epoch [21][5700/7330] lr: 1.000e-04, eta: 14:00:23, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0316, loss_cls: 0.1612, acc: 94.0752, loss_bbox: 0.2092, loss_mask: 0.2141, loss: 0.6382 +2022-09-22 21:48:09,058 - mmdet - INFO - Epoch [21][5750/7330] lr: 1.000e-04, eta: 14:00:00, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0299, loss_cls: 0.1692, acc: 93.8728, loss_bbox: 0.2107, loss_mask: 0.2119, loss: 0.6430 +2022-09-22 21:48:30,800 - mmdet - INFO - Epoch [21][5800/7330] lr: 1.000e-04, eta: 13:59:36, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0293, loss_cls: 0.1553, acc: 94.3755, loss_bbox: 0.1918, loss_mask: 0.2031, loss: 0.6014 +2022-09-22 21:48:52,287 - mmdet - INFO - Epoch [21][5850/7330] lr: 1.000e-04, eta: 13:59:13, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0311, loss_cls: 0.1619, acc: 94.0269, loss_bbox: 0.2011, loss_mask: 0.2092, loss: 0.6247 +2022-09-22 21:49:13,882 - mmdet - INFO - Epoch [21][5900/7330] lr: 1.000e-04, eta: 13:58:49, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0302, loss_cls: 0.1628, acc: 94.1438, loss_bbox: 0.2038, loss_mask: 0.2134, loss: 0.6317 +2022-09-22 21:49:35,433 - mmdet - INFO - Epoch [21][5950/7330] lr: 1.000e-04, eta: 13:58:25, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0334, loss_cls: 0.1576, acc: 94.1829, loss_bbox: 0.2011, loss_mask: 0.2151, loss: 0.6289 +2022-09-22 21:49:57,385 - mmdet - INFO - Epoch [21][6000/7330] lr: 1.000e-04, eta: 13:58:02, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0307, loss_cls: 0.1586, acc: 94.2729, loss_bbox: 0.1982, loss_mask: 0.2087, loss: 0.6180 +2022-09-22 21:50:18,790 - mmdet - INFO - Epoch [21][6050/7330] lr: 1.000e-04, eta: 13:57:38, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0277, loss_cls: 0.1517, acc: 94.4880, loss_bbox: 0.1888, loss_mask: 0.2018, loss: 0.5876 +2022-09-22 21:50:40,495 - mmdet - INFO - Epoch [21][6100/7330] lr: 1.000e-04, eta: 13:57:14, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0352, loss_cls: 0.1755, acc: 93.6548, loss_bbox: 0.2166, loss_mask: 0.2232, loss: 0.6744 +2022-09-22 21:51:02,147 - mmdet - INFO - Epoch [21][6150/7330] lr: 1.000e-04, eta: 13:56:50, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0332, loss_cls: 0.1679, acc: 93.8696, loss_bbox: 0.2144, loss_mask: 0.2169, loss: 0.6564 +2022-09-22 21:51:24,318 - mmdet - INFO - Epoch [21][6200/7330] lr: 1.000e-04, eta: 13:56:27, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0324, loss_cls: 0.1629, acc: 94.0515, loss_bbox: 0.2040, loss_mask: 0.2128, loss: 0.6346 +2022-09-22 21:51:46,039 - mmdet - INFO - Epoch [21][6250/7330] lr: 1.000e-04, eta: 13:56:04, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0317, loss_cls: 0.1587, acc: 94.2358, loss_bbox: 0.2040, loss_mask: 0.2147, loss: 0.6312 +2022-09-22 21:52:07,495 - mmdet - INFO - Epoch [21][6300/7330] lr: 1.000e-04, eta: 13:55:40, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0324, loss_cls: 0.1657, acc: 93.8936, loss_bbox: 0.2069, loss_mask: 0.2158, loss: 0.6461 +2022-09-22 21:52:29,469 - mmdet - INFO - Epoch [21][6350/7330] lr: 1.000e-04, eta: 13:55:16, time: 0.440, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0336, loss_cls: 0.1664, acc: 93.8032, loss_bbox: 0.2139, loss_mask: 0.2144, loss: 0.6506 +2022-09-22 21:52:51,012 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 21:52:51,016 - mmdet - INFO - Epoch [21][6400/7330] lr: 1.000e-04, eta: 13:54:53, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0327, loss_cls: 0.1652, acc: 94.0205, loss_bbox: 0.2125, loss_mask: 0.2141, loss: 0.6467 +2022-09-22 21:53:12,491 - mmdet - INFO - Epoch [21][6450/7330] lr: 1.000e-04, eta: 13:54:29, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0301, loss_cls: 0.1558, acc: 94.1963, loss_bbox: 0.1980, loss_mask: 0.2080, loss: 0.6119 +2022-09-22 21:53:34,063 - mmdet - INFO - Epoch [21][6500/7330] lr: 1.000e-04, eta: 13:54:05, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0302, loss_cls: 0.1576, acc: 94.3428, loss_bbox: 0.1962, loss_mask: 0.2071, loss: 0.6126 +2022-09-22 21:53:55,636 - mmdet - INFO - Epoch [21][6550/7330] lr: 1.000e-04, eta: 13:53:41, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0309, loss_cls: 0.1572, acc: 94.1741, loss_bbox: 0.1985, loss_mask: 0.2130, loss: 0.6224 +2022-09-22 21:54:17,833 - mmdet - INFO - Epoch [21][6600/7330] lr: 1.000e-04, eta: 13:53:18, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1619, acc: 94.1021, loss_bbox: 0.2000, loss_mask: 0.2072, loss: 0.6221 +2022-09-22 21:54:39,415 - mmdet - INFO - Epoch [21][6650/7330] lr: 1.000e-04, eta: 13:52:54, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0326, loss_cls: 0.1628, acc: 93.9919, loss_bbox: 0.2069, loss_mask: 0.2145, loss: 0.6393 +2022-09-22 21:55:00,925 - mmdet - INFO - Epoch [21][6700/7330] lr: 1.000e-04, eta: 13:52:30, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0300, loss_cls: 0.1511, acc: 94.5251, loss_bbox: 0.1915, loss_mask: 0.2106, loss: 0.6042 +2022-09-22 21:55:22,121 - mmdet - INFO - Epoch [21][6750/7330] lr: 1.000e-04, eta: 13:52:06, time: 0.424, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0302, loss_cls: 0.1547, acc: 94.2800, loss_bbox: 0.1996, loss_mask: 0.2157, loss: 0.6211 +2022-09-22 21:55:43,952 - mmdet - INFO - Epoch [21][6800/7330] lr: 1.000e-04, eta: 13:51:43, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0337, loss_cls: 0.1622, acc: 94.0903, loss_bbox: 0.2060, loss_mask: 0.2183, loss: 0.6430 +2022-09-22 21:56:05,112 - mmdet - INFO - Epoch [21][6850/7330] lr: 1.000e-04, eta: 13:51:19, time: 0.423, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0329, loss_cls: 0.1630, acc: 94.0276, loss_bbox: 0.2074, loss_mask: 0.2211, loss: 0.6467 +2022-09-22 21:56:26,517 - mmdet - INFO - Epoch [21][6900/7330] lr: 1.000e-04, eta: 13:50:55, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0312, loss_cls: 0.1597, acc: 94.0745, loss_bbox: 0.2071, loss_mask: 0.2189, loss: 0.6410 +2022-09-22 21:56:48,667 - mmdet - INFO - Epoch [21][6950/7330] lr: 1.000e-04, eta: 13:50:31, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0323, loss_cls: 0.1618, acc: 94.0896, loss_bbox: 0.2021, loss_mask: 0.2112, loss: 0.6295 +2022-09-22 21:57:10,202 - mmdet - INFO - Epoch [21][7000/7330] lr: 1.000e-04, eta: 13:50:08, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0290, loss_cls: 0.1582, acc: 94.3015, loss_bbox: 0.1950, loss_mask: 0.2159, loss: 0.6196 +2022-09-22 21:57:31,897 - mmdet - INFO - Epoch [21][7050/7330] lr: 1.000e-04, eta: 13:49:44, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0284, loss_cls: 0.1576, acc: 94.2961, loss_bbox: 0.1931, loss_mask: 0.2092, loss: 0.6102 +2022-09-22 21:57:53,944 - mmdet - INFO - Epoch [21][7100/7330] lr: 1.000e-04, eta: 13:49:21, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0322, loss_cls: 0.1612, acc: 94.1399, loss_bbox: 0.2021, loss_mask: 0.2196, loss: 0.6362 +2022-09-22 21:58:15,558 - mmdet - INFO - Epoch [21][7150/7330] lr: 1.000e-04, eta: 13:48:57, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0309, loss_cls: 0.1695, acc: 93.8455, loss_bbox: 0.2154, loss_mask: 0.2152, loss: 0.6522 +2022-09-22 21:58:37,176 - mmdet - INFO - Epoch [21][7200/7330] lr: 1.000e-04, eta: 13:48:33, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0305, loss_cls: 0.1683, acc: 93.9746, loss_bbox: 0.2078, loss_mask: 0.2189, loss: 0.6478 +2022-09-22 21:58:58,752 - mmdet - INFO - Epoch [21][7250/7330] lr: 1.000e-04, eta: 13:48:10, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0327, loss_cls: 0.1624, acc: 94.1494, loss_bbox: 0.2048, loss_mask: 0.2152, loss: 0.6396 +2022-09-22 21:59:20,058 - mmdet - INFO - Epoch [21][7300/7330] lr: 1.000e-04, eta: 13:47:46, time: 0.426, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0331, loss_cls: 0.1691, acc: 93.9590, loss_bbox: 0.2083, loss_mask: 0.2187, loss: 0.6551 +2022-09-22 21:59:43,030 - mmdet - INFO - Saving checkpoint at 21 epochs +2022-09-22 22:01:59,296 - mmdet - INFO - Evaluating bbox... +2022-09-22 22:02:25,181 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.486 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.710 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.535 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.329 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.520 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.632 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.611 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.611 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.611 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.438 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.651 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.762 + +2022-09-22 22:02:25,181 - mmdet - INFO - Evaluating segm... +2022-09-22 22:02:56,519 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.435 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.682 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.467 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.246 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.468 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.629 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.554 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.554 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.554 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.377 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.596 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.720 + +2022-09-22 22:02:56,894 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 22:02:56,895 - mmdet - INFO - Epoch(val) [21][625] bbox_mAP: 0.4860, bbox_mAP_50: 0.7100, bbox_mAP_75: 0.5350, bbox_mAP_s: 0.3290, bbox_mAP_m: 0.5200, bbox_mAP_l: 0.6320, bbox_mAP_copypaste: 0.486 0.710 0.535 0.329 0.520 0.632, segm_mAP: 0.4350, segm_mAP_50: 0.6820, segm_mAP_75: 0.4670, segm_mAP_s: 0.2460, segm_mAP_m: 0.4680, segm_mAP_l: 0.6290, segm_mAP_copypaste: 0.435 0.682 0.467 0.246 0.468 0.629 +2022-09-22 22:05:24,147 - mmdet - INFO - Epoch [22][50/7330] lr: 1.000e-04, eta: 13:49:18, time: 2.945, data_time: 2.495, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0330, loss_cls: 0.1625, acc: 94.0188, loss_bbox: 0.2049, loss_mask: 0.2140, loss: 0.6369 +2022-09-22 22:05:46,439 - mmdet - INFO - Epoch [22][100/7330] lr: 1.000e-04, eta: 13:48:55, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0306, loss_cls: 0.1484, acc: 94.5952, loss_bbox: 0.1903, loss_mask: 0.2092, loss: 0.5991 +2022-09-22 22:06:08,602 - mmdet - INFO - Epoch [22][150/7330] lr: 1.000e-04, eta: 13:48:31, time: 0.443, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0309, loss_cls: 0.1427, acc: 94.6890, loss_bbox: 0.1936, loss_mask: 0.2085, loss: 0.5980 +2022-09-22 22:06:30,831 - mmdet - INFO - Epoch [22][200/7330] lr: 1.000e-04, eta: 13:48:08, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0309, loss_cls: 0.1598, acc: 94.1431, loss_bbox: 0.2038, loss_mask: 0.2138, loss: 0.6275 +2022-09-22 22:06:52,670 - mmdet - INFO - Epoch [22][250/7330] lr: 1.000e-04, eta: 13:47:45, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0343, loss_cls: 0.1640, acc: 94.0774, loss_bbox: 0.2092, loss_mask: 0.2126, loss: 0.6438 +2022-09-22 22:07:14,913 - mmdet - INFO - Epoch [22][300/7330] lr: 1.000e-04, eta: 13:47:22, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0332, loss_cls: 0.1577, acc: 94.1143, loss_bbox: 0.2037, loss_mask: 0.2101, loss: 0.6263 +2022-09-22 22:07:37,344 - mmdet - INFO - Epoch [22][350/7330] lr: 1.000e-04, eta: 13:46:59, time: 0.449, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0327, loss_cls: 0.1569, acc: 94.1384, loss_bbox: 0.2051, loss_mask: 0.2111, loss: 0.6275 +2022-09-22 22:07:59,513 - mmdet - INFO - Epoch [22][400/7330] lr: 1.000e-04, eta: 13:46:36, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0302, loss_cls: 0.1556, acc: 94.3618, loss_bbox: 0.1979, loss_mask: 0.2139, loss: 0.6181 +2022-09-22 22:08:21,639 - mmdet - INFO - Epoch [22][450/7330] lr: 1.000e-04, eta: 13:46:12, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0299, loss_cls: 0.1518, acc: 94.4705, loss_bbox: 0.1949, loss_mask: 0.2096, loss: 0.6072 +2022-09-22 22:08:43,726 - mmdet - INFO - Epoch [22][500/7330] lr: 1.000e-04, eta: 13:45:49, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0308, loss_cls: 0.1473, acc: 94.5911, loss_bbox: 0.1897, loss_mask: 0.2050, loss: 0.5939 +2022-09-22 22:09:05,864 - mmdet - INFO - Epoch [22][550/7330] lr: 1.000e-04, eta: 13:45:26, time: 0.442, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0281, loss_cls: 0.1464, acc: 94.6277, loss_bbox: 0.1922, loss_mask: 0.2077, loss: 0.5928 +2022-09-22 22:09:27,554 - mmdet - INFO - Epoch [22][600/7330] lr: 1.000e-04, eta: 13:45:02, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0284, loss_cls: 0.1490, acc: 94.5251, loss_bbox: 0.1923, loss_mask: 0.2051, loss: 0.5937 +2022-09-22 22:09:48,705 - mmdet - INFO - Epoch [22][650/7330] lr: 1.000e-04, eta: 13:44:38, time: 0.423, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0318, loss_cls: 0.1608, acc: 94.0620, loss_bbox: 0.2108, loss_mask: 0.2125, loss: 0.6367 +2022-09-22 22:10:10,447 - mmdet - INFO - Epoch [22][700/7330] lr: 1.000e-04, eta: 13:44:14, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0299, loss_cls: 0.1495, acc: 94.6313, loss_bbox: 0.1910, loss_mask: 0.2093, loss: 0.5998 +2022-09-22 22:10:32,549 - mmdet - INFO - Epoch [22][750/7330] lr: 1.000e-04, eta: 13:43:51, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0284, loss_cls: 0.1474, acc: 94.5442, loss_bbox: 0.1879, loss_mask: 0.1987, loss: 0.5810 +2022-09-22 22:10:55,222 - mmdet - INFO - Epoch [22][800/7330] lr: 1.000e-04, eta: 13:43:28, time: 0.453, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0317, loss_cls: 0.1502, acc: 94.5120, loss_bbox: 0.1956, loss_mask: 0.2107, loss: 0.6105 +2022-09-22 22:11:17,380 - mmdet - INFO - Epoch [22][850/7330] lr: 1.000e-04, eta: 13:43:05, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0302, loss_cls: 0.1541, acc: 94.3850, loss_bbox: 0.2018, loss_mask: 0.2067, loss: 0.6128 +2022-09-22 22:11:39,196 - mmdet - INFO - Epoch [22][900/7330] lr: 1.000e-04, eta: 13:42:42, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0299, loss_cls: 0.1522, acc: 94.4309, loss_bbox: 0.1940, loss_mask: 0.2063, loss: 0.6026 +2022-09-22 22:12:01,031 - mmdet - INFO - Epoch [22][950/7330] lr: 1.000e-04, eta: 13:42:18, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0326, loss_cls: 0.1579, acc: 94.2324, loss_bbox: 0.2046, loss_mask: 0.2117, loss: 0.6295 +2022-09-22 22:12:23,091 - mmdet - INFO - Epoch [22][1000/7330] lr: 1.000e-04, eta: 13:41:55, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0318, loss_cls: 0.1605, acc: 94.1489, loss_bbox: 0.2087, loss_mask: 0.2107, loss: 0.6337 +2022-09-22 22:12:44,925 - mmdet - INFO - Epoch [22][1050/7330] lr: 1.000e-04, eta: 13:41:31, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0306, loss_cls: 0.1598, acc: 94.1040, loss_bbox: 0.2079, loss_mask: 0.2159, loss: 0.6365 +2022-09-22 22:13:07,218 - mmdet - INFO - Epoch [22][1100/7330] lr: 1.000e-04, eta: 13:41:08, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0319, loss_cls: 0.1706, acc: 93.8962, loss_bbox: 0.2071, loss_mask: 0.2197, loss: 0.6503 +2022-09-22 22:13:29,365 - mmdet - INFO - Epoch [22][1150/7330] lr: 1.000e-04, eta: 13:40:45, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0298, loss_cls: 0.1590, acc: 94.2014, loss_bbox: 0.2011, loss_mask: 0.2120, loss: 0.6228 +2022-09-22 22:13:50,954 - mmdet - INFO - Epoch [22][1200/7330] lr: 1.000e-04, eta: 13:40:21, time: 0.431, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0309, loss_cls: 0.1516, acc: 94.3911, loss_bbox: 0.1941, loss_mask: 0.2099, loss: 0.6081 +2022-09-22 22:14:12,973 - mmdet - INFO - Epoch [22][1250/7330] lr: 1.000e-04, eta: 13:39:58, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0296, loss_cls: 0.1540, acc: 94.3145, loss_bbox: 0.1992, loss_mask: 0.2077, loss: 0.6090 +2022-09-22 22:14:34,712 - mmdet - INFO - Epoch [22][1300/7330] lr: 1.000e-04, eta: 13:39:34, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0323, loss_cls: 0.1600, acc: 94.2532, loss_bbox: 0.2008, loss_mask: 0.2088, loss: 0.6229 +2022-09-22 22:14:57,326 - mmdet - INFO - Epoch [22][1350/7330] lr: 1.000e-04, eta: 13:39:12, time: 0.452, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0308, loss_cls: 0.1566, acc: 94.2737, loss_bbox: 0.2021, loss_mask: 0.2116, loss: 0.6229 +2022-09-22 22:15:19,226 - mmdet - INFO - Epoch [22][1400/7330] lr: 1.000e-04, eta: 13:38:48, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0308, loss_cls: 0.1615, acc: 94.0146, loss_bbox: 0.2027, loss_mask: 0.2124, loss: 0.6305 +2022-09-22 22:15:41,319 - mmdet - INFO - Epoch [22][1450/7330] lr: 1.000e-04, eta: 13:38:25, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0317, loss_cls: 0.1584, acc: 94.1614, loss_bbox: 0.1978, loss_mask: 0.2090, loss: 0.6178 +2022-09-22 22:16:03,378 - mmdet - INFO - Epoch [22][1500/7330] lr: 1.000e-04, eta: 13:38:02, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0316, loss_cls: 0.1580, acc: 94.1436, loss_bbox: 0.2006, loss_mask: 0.2142, loss: 0.6263 +2022-09-22 22:16:25,721 - mmdet - INFO - Epoch [22][1550/7330] lr: 1.000e-04, eta: 13:37:39, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0291, loss_cls: 0.1593, acc: 94.0681, loss_bbox: 0.2064, loss_mask: 0.2092, loss: 0.6245 +2022-09-22 22:16:48,259 - mmdet - INFO - Epoch [22][1600/7330] lr: 1.000e-04, eta: 13:37:16, time: 0.451, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0291, loss_cls: 0.1499, acc: 94.3936, loss_bbox: 0.1933, loss_mask: 0.2030, loss: 0.5945 +2022-09-22 22:17:10,178 - mmdet - INFO - Epoch [22][1650/7330] lr: 1.000e-04, eta: 13:36:53, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0299, loss_cls: 0.1593, acc: 94.1865, loss_bbox: 0.2075, loss_mask: 0.2138, loss: 0.6302 +2022-09-22 22:17:32,083 - mmdet - INFO - Epoch [22][1700/7330] lr: 1.000e-04, eta: 13:36:29, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0301, loss_cls: 0.1587, acc: 94.2410, loss_bbox: 0.1983, loss_mask: 0.2116, loss: 0.6206 +2022-09-22 22:17:54,219 - mmdet - INFO - Epoch [22][1750/7330] lr: 1.000e-04, eta: 13:36:06, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0316, loss_cls: 0.1541, acc: 94.2822, loss_bbox: 0.2001, loss_mask: 0.2064, loss: 0.6110 +2022-09-22 22:18:15,694 - mmdet - INFO - Epoch [22][1800/7330] lr: 1.000e-04, eta: 13:35:42, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0332, loss_cls: 0.1638, acc: 93.8945, loss_bbox: 0.2089, loss_mask: 0.2136, loss: 0.6399 +2022-09-22 22:18:37,802 - mmdet - INFO - Epoch [22][1850/7330] lr: 1.000e-04, eta: 13:35:19, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0333, loss_cls: 0.1691, acc: 93.8115, loss_bbox: 0.2186, loss_mask: 0.2161, loss: 0.6601 +2022-09-22 22:18:59,363 - mmdet - INFO - Epoch [22][1900/7330] lr: 1.000e-04, eta: 13:34:55, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0320, loss_cls: 0.1621, acc: 93.9746, loss_bbox: 0.2090, loss_mask: 0.2085, loss: 0.6329 +2022-09-22 22:19:20,965 - mmdet - INFO - Epoch [22][1950/7330] lr: 1.000e-04, eta: 13:34:31, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0309, loss_cls: 0.1508, acc: 94.5444, loss_bbox: 0.2029, loss_mask: 0.2139, loss: 0.6193 +2022-09-22 22:19:42,542 - mmdet - INFO - Epoch [22][2000/7330] lr: 1.000e-04, eta: 13:34:08, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0325, loss_cls: 0.1641, acc: 93.9778, loss_bbox: 0.2083, loss_mask: 0.2080, loss: 0.6359 +2022-09-22 22:20:04,302 - mmdet - INFO - Epoch [22][2050/7330] lr: 1.000e-04, eta: 13:33:44, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0287, loss_cls: 0.1479, acc: 94.4607, loss_bbox: 0.1986, loss_mask: 0.2163, loss: 0.6113 +2022-09-22 22:20:26,103 - mmdet - INFO - Epoch [22][2100/7330] lr: 1.000e-04, eta: 13:33:20, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0334, loss_cls: 0.1627, acc: 94.0366, loss_bbox: 0.2066, loss_mask: 0.2130, loss: 0.6383 +2022-09-22 22:20:47,501 - mmdet - INFO - Epoch [22][2150/7330] lr: 1.000e-04, eta: 13:32:56, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0298, loss_cls: 0.1618, acc: 94.1655, loss_bbox: 0.2022, loss_mask: 0.2161, loss: 0.6326 +2022-09-22 22:21:08,975 - mmdet - INFO - Epoch [22][2200/7330] lr: 1.000e-04, eta: 13:32:33, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0292, loss_cls: 0.1547, acc: 94.3599, loss_bbox: 0.1952, loss_mask: 0.2090, loss: 0.6083 +2022-09-22 22:21:31,241 - mmdet - INFO - Epoch [22][2250/7330] lr: 1.000e-04, eta: 13:32:10, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0296, loss_cls: 0.1566, acc: 94.2195, loss_bbox: 0.1969, loss_mask: 0.2134, loss: 0.6189 +2022-09-22 22:21:52,704 - mmdet - INFO - Epoch [22][2300/7330] lr: 1.000e-04, eta: 13:31:46, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0314, loss_cls: 0.1602, acc: 94.2083, loss_bbox: 0.2052, loss_mask: 0.2064, loss: 0.6242 +2022-09-22 22:22:14,359 - mmdet - INFO - Epoch [22][2350/7330] lr: 1.000e-04, eta: 13:31:22, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0302, loss_cls: 0.1523, acc: 94.4563, loss_bbox: 0.1962, loss_mask: 0.2110, loss: 0.6105 +2022-09-22 22:22:35,909 - mmdet - INFO - Epoch [22][2400/7330] lr: 1.000e-04, eta: 13:30:58, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0285, loss_cls: 0.1472, acc: 94.6262, loss_bbox: 0.1900, loss_mask: 0.2066, loss: 0.5921 +2022-09-22 22:22:57,455 - mmdet - INFO - Epoch [22][2450/7330] lr: 1.000e-04, eta: 13:30:34, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0323, loss_cls: 0.1637, acc: 94.0571, loss_bbox: 0.2058, loss_mask: 0.2098, loss: 0.6323 +2022-09-22 22:23:19,214 - mmdet - INFO - Epoch [22][2500/7330] lr: 1.000e-04, eta: 13:30:11, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0325, loss_cls: 0.1565, acc: 94.2400, loss_bbox: 0.2015, loss_mask: 0.2109, loss: 0.6234 +2022-09-22 22:23:41,011 - mmdet - INFO - Epoch [22][2550/7330] lr: 1.000e-04, eta: 13:29:47, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0303, loss_cls: 0.1611, acc: 94.1636, loss_bbox: 0.2035, loss_mask: 0.2059, loss: 0.6211 +2022-09-22 22:24:02,414 - mmdet - INFO - Epoch [22][2600/7330] lr: 1.000e-04, eta: 13:29:23, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0283, loss_cls: 0.1521, acc: 94.5085, loss_bbox: 0.1955, loss_mask: 0.2083, loss: 0.6045 +2022-09-22 22:24:23,913 - mmdet - INFO - Epoch [22][2650/7330] lr: 1.000e-04, eta: 13:28:59, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0292, loss_cls: 0.1612, acc: 94.0522, loss_bbox: 0.2020, loss_mask: 0.2129, loss: 0.6264 +2022-09-22 22:24:45,863 - mmdet - INFO - Epoch [22][2700/7330] lr: 1.000e-04, eta: 13:28:36, time: 0.439, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0306, loss_cls: 0.1631, acc: 94.0574, loss_bbox: 0.2079, loss_mask: 0.2172, loss: 0.6415 +2022-09-22 22:25:07,837 - mmdet - INFO - Epoch [22][2750/7330] lr: 1.000e-04, eta: 13:28:13, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0308, loss_cls: 0.1565, acc: 94.3838, loss_bbox: 0.1963, loss_mask: 0.2045, loss: 0.6103 +2022-09-22 22:25:29,374 - mmdet - INFO - Epoch [22][2800/7330] lr: 1.000e-04, eta: 13:27:49, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0304, loss_cls: 0.1541, acc: 94.3596, loss_bbox: 0.1965, loss_mask: 0.2068, loss: 0.6084 +2022-09-22 22:25:51,023 - mmdet - INFO - Epoch [22][2850/7330] lr: 1.000e-04, eta: 13:27:25, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0301, loss_cls: 0.1557, acc: 94.3306, loss_bbox: 0.1993, loss_mask: 0.2136, loss: 0.6194 +2022-09-22 22:26:12,152 - mmdet - INFO - Epoch [22][2900/7330] lr: 1.000e-04, eta: 13:27:01, time: 0.423, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0301, loss_cls: 0.1491, acc: 94.5645, loss_bbox: 0.1886, loss_mask: 0.2067, loss: 0.5961 +2022-09-22 22:26:33,755 - mmdet - INFO - Epoch [22][2950/7330] lr: 1.000e-04, eta: 13:26:37, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0324, loss_cls: 0.1538, acc: 94.4539, loss_bbox: 0.1945, loss_mask: 0.2126, loss: 0.6157 +2022-09-22 22:26:56,281 - mmdet - INFO - Epoch [22][3000/7330] lr: 1.000e-04, eta: 13:26:15, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0350, loss_cls: 0.1628, acc: 93.9719, loss_bbox: 0.2092, loss_mask: 0.2135, loss: 0.6433 +2022-09-22 22:27:17,959 - mmdet - INFO - Epoch [22][3050/7330] lr: 1.000e-04, eta: 13:25:51, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0327, loss_cls: 0.1657, acc: 93.9724, loss_bbox: 0.2096, loss_mask: 0.2135, loss: 0.6441 +2022-09-22 22:27:39,630 - mmdet - INFO - Epoch [22][3100/7330] lr: 1.000e-04, eta: 13:25:27, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0324, loss_cls: 0.1635, acc: 94.0188, loss_bbox: 0.2062, loss_mask: 0.2153, loss: 0.6389 +2022-09-22 22:28:01,234 - mmdet - INFO - Epoch [22][3150/7330] lr: 1.000e-04, eta: 13:25:04, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0307, loss_cls: 0.1627, acc: 94.0381, loss_bbox: 0.2008, loss_mask: 0.2133, loss: 0.6306 +2022-09-22 22:28:23,262 - mmdet - INFO - Epoch [22][3200/7330] lr: 1.000e-04, eta: 13:24:40, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0335, loss_cls: 0.1648, acc: 93.9724, loss_bbox: 0.2117, loss_mask: 0.2186, loss: 0.6526 +2022-09-22 22:28:45,299 - mmdet - INFO - Epoch [22][3250/7330] lr: 1.000e-04, eta: 13:24:17, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0315, loss_cls: 0.1576, acc: 94.2991, loss_bbox: 0.2039, loss_mask: 0.2084, loss: 0.6210 +2022-09-22 22:29:07,057 - mmdet - INFO - Epoch [22][3300/7330] lr: 1.000e-04, eta: 13:23:54, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0303, loss_cls: 0.1536, acc: 94.4248, loss_bbox: 0.1933, loss_mask: 0.2132, loss: 0.6117 +2022-09-22 22:29:29,256 - mmdet - INFO - Epoch [22][3350/7330] lr: 1.000e-04, eta: 13:23:31, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0303, loss_cls: 0.1528, acc: 94.4919, loss_bbox: 0.1934, loss_mask: 0.2078, loss: 0.6039 +2022-09-22 22:29:50,855 - mmdet - INFO - Epoch [22][3400/7330] lr: 1.000e-04, eta: 13:23:07, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0276, loss_cls: 0.1476, acc: 94.5977, loss_bbox: 0.1931, loss_mask: 0.2110, loss: 0.5982 +2022-09-22 22:30:12,443 - mmdet - INFO - Epoch [22][3450/7330] lr: 1.000e-04, eta: 13:22:43, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0297, loss_cls: 0.1535, acc: 94.3823, loss_bbox: 0.1921, loss_mask: 0.2033, loss: 0.5981 +2022-09-22 22:30:33,834 - mmdet - INFO - Epoch [22][3500/7330] lr: 1.000e-04, eta: 13:22:19, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0268, loss_cls: 0.1500, acc: 94.6357, loss_bbox: 0.1877, loss_mask: 0.2061, loss: 0.5926 +2022-09-22 22:30:55,592 - mmdet - INFO - Epoch [22][3550/7330] lr: 1.000e-04, eta: 13:21:56, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0313, loss_cls: 0.1586, acc: 94.0410, loss_bbox: 0.2050, loss_mask: 0.2166, loss: 0.6342 +2022-09-22 22:31:17,283 - mmdet - INFO - Epoch [22][3600/7330] lr: 1.000e-04, eta: 13:21:32, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0289, loss_cls: 0.1518, acc: 94.4814, loss_bbox: 0.1936, loss_mask: 0.2090, loss: 0.6060 +2022-09-22 22:31:39,357 - mmdet - INFO - Epoch [22][3650/7330] lr: 1.000e-04, eta: 13:21:09, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0328, loss_cls: 0.1685, acc: 93.8943, loss_bbox: 0.2102, loss_mask: 0.2148, loss: 0.6497 +2022-09-22 22:32:01,025 - mmdet - INFO - Epoch [22][3700/7330] lr: 1.000e-04, eta: 13:20:45, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0325, loss_cls: 0.1571, acc: 94.2075, loss_bbox: 0.1992, loss_mask: 0.2155, loss: 0.6283 +2022-09-22 22:32:22,507 - mmdet - INFO - Epoch [22][3750/7330] lr: 1.000e-04, eta: 13:20:21, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0324, loss_cls: 0.1576, acc: 94.2661, loss_bbox: 0.1999, loss_mask: 0.2119, loss: 0.6246 +2022-09-22 22:32:43,779 - mmdet - INFO - Epoch [22][3800/7330] lr: 1.000e-04, eta: 13:19:57, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0281, loss_cls: 0.1547, acc: 94.2932, loss_bbox: 0.1982, loss_mask: 0.2075, loss: 0.6102 +2022-09-22 22:33:05,309 - mmdet - INFO - Epoch [22][3850/7330] lr: 1.000e-04, eta: 13:19:34, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0272, loss_cls: 0.1494, acc: 94.5837, loss_bbox: 0.1916, loss_mask: 0.2019, loss: 0.5884 +2022-09-22 22:33:27,104 - mmdet - INFO - Epoch [22][3900/7330] lr: 1.000e-04, eta: 13:19:10, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0334, loss_cls: 0.1644, acc: 93.9900, loss_bbox: 0.2056, loss_mask: 0.2181, loss: 0.6434 +2022-09-22 22:33:48,806 - mmdet - INFO - Epoch [22][3950/7330] lr: 1.000e-04, eta: 13:18:47, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0298, loss_cls: 0.1614, acc: 94.0889, loss_bbox: 0.2019, loss_mask: 0.2137, loss: 0.6288 +2022-09-22 22:34:10,457 - mmdet - INFO - Epoch [22][4000/7330] lr: 1.000e-04, eta: 13:18:23, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0321, loss_cls: 0.1648, acc: 93.9661, loss_bbox: 0.2081, loss_mask: 0.2150, loss: 0.6431 +2022-09-22 22:34:32,276 - mmdet - INFO - Epoch [22][4050/7330] lr: 1.000e-04, eta: 13:17:59, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0344, loss_cls: 0.1633, acc: 93.8845, loss_bbox: 0.2111, loss_mask: 0.2208, loss: 0.6513 +2022-09-22 22:34:53,771 - mmdet - INFO - Epoch [22][4100/7330] lr: 1.000e-04, eta: 13:17:36, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0295, loss_cls: 0.1575, acc: 94.2185, loss_bbox: 0.2033, loss_mask: 0.2102, loss: 0.6204 +2022-09-22 22:35:15,270 - mmdet - INFO - Epoch [22][4150/7330] lr: 1.000e-04, eta: 13:17:12, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0305, loss_cls: 0.1612, acc: 94.0640, loss_bbox: 0.2020, loss_mask: 0.2126, loss: 0.6282 +2022-09-22 22:35:37,582 - mmdet - INFO - Epoch [22][4200/7330] lr: 1.000e-04, eta: 13:16:49, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0327, loss_cls: 0.1627, acc: 94.0144, loss_bbox: 0.2075, loss_mask: 0.2162, loss: 0.6428 +2022-09-22 22:35:59,279 - mmdet - INFO - Epoch [22][4250/7330] lr: 1.000e-04, eta: 13:16:25, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0320, loss_cls: 0.1542, acc: 94.3403, loss_bbox: 0.1993, loss_mask: 0.2113, loss: 0.6180 +2022-09-22 22:36:20,855 - mmdet - INFO - Epoch [22][4300/7330] lr: 1.000e-04, eta: 13:16:02, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0297, loss_cls: 0.1599, acc: 94.1345, loss_bbox: 0.2039, loss_mask: 0.2137, loss: 0.6283 +2022-09-22 22:36:42,699 - mmdet - INFO - Epoch [22][4350/7330] lr: 1.000e-04, eta: 13:15:38, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0297, loss_cls: 0.1528, acc: 94.4099, loss_bbox: 0.1919, loss_mask: 0.2097, loss: 0.6061 +2022-09-22 22:37:04,687 - mmdet - INFO - Epoch [22][4400/7330] lr: 1.000e-04, eta: 13:15:15, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0309, loss_cls: 0.1604, acc: 94.1008, loss_bbox: 0.2029, loss_mask: 0.2167, loss: 0.6331 +2022-09-22 22:37:26,972 - mmdet - INFO - Epoch [22][4450/7330] lr: 1.000e-04, eta: 13:14:52, time: 0.446, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0325, loss_cls: 0.1646, acc: 93.9536, loss_bbox: 0.2114, loss_mask: 0.2191, loss: 0.6514 +2022-09-22 22:37:49,102 - mmdet - INFO - Epoch [22][4500/7330] lr: 1.000e-04, eta: 13:14:29, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0312, loss_cls: 0.1546, acc: 94.3481, loss_bbox: 0.1987, loss_mask: 0.2143, loss: 0.6208 +2022-09-22 22:38:10,853 - mmdet - INFO - Epoch [22][4550/7330] lr: 1.000e-04, eta: 13:14:06, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0309, loss_cls: 0.1561, acc: 94.2170, loss_bbox: 0.1986, loss_mask: 0.2165, loss: 0.6260 +2022-09-22 22:38:32,823 - mmdet - INFO - Epoch [22][4600/7330] lr: 1.000e-04, eta: 13:13:42, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0352, loss_cls: 0.1600, acc: 94.1248, loss_bbox: 0.2065, loss_mask: 0.2211, loss: 0.6463 +2022-09-22 22:38:54,607 - mmdet - INFO - Epoch [22][4650/7330] lr: 1.000e-04, eta: 13:13:19, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0336, loss_cls: 0.1677, acc: 93.8428, loss_bbox: 0.2152, loss_mask: 0.2195, loss: 0.6590 +2022-09-22 22:39:16,545 - mmdet - INFO - Epoch [22][4700/7330] lr: 1.000e-04, eta: 13:12:55, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0320, loss_cls: 0.1618, acc: 94.1628, loss_bbox: 0.2027, loss_mask: 0.2116, loss: 0.6318 +2022-09-22 22:39:38,864 - mmdet - INFO - Epoch [22][4750/7330] lr: 1.000e-04, eta: 13:12:33, time: 0.446, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0326, loss_cls: 0.1616, acc: 93.9949, loss_bbox: 0.2087, loss_mask: 0.2110, loss: 0.6379 +2022-09-22 22:40:00,410 - mmdet - INFO - Epoch [22][4800/7330] lr: 1.000e-04, eta: 13:12:09, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0291, loss_cls: 0.1538, acc: 94.3037, loss_bbox: 0.1966, loss_mask: 0.2132, loss: 0.6144 +2022-09-22 22:40:22,111 - mmdet - INFO - Epoch [22][4850/7330] lr: 1.000e-04, eta: 13:11:45, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0300, loss_cls: 0.1574, acc: 94.2898, loss_bbox: 0.1958, loss_mask: 0.2074, loss: 0.6107 +2022-09-22 22:40:43,779 - mmdet - INFO - Epoch [22][4900/7330] lr: 1.000e-04, eta: 13:11:22, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0305, loss_cls: 0.1478, acc: 94.4802, loss_bbox: 0.1918, loss_mask: 0.2039, loss: 0.5934 +2022-09-22 22:41:07,364 - mmdet - INFO - Epoch [22][4950/7330] lr: 1.000e-04, eta: 13:11:00, time: 0.471, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0317, loss_cls: 0.1589, acc: 94.1462, loss_bbox: 0.2100, loss_mask: 0.2143, loss: 0.6370 +2022-09-22 22:41:29,243 - mmdet - INFO - Epoch [22][5000/7330] lr: 1.000e-04, eta: 13:10:37, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0300, loss_cls: 0.1609, acc: 94.1072, loss_bbox: 0.2017, loss_mask: 0.2106, loss: 0.6250 +2022-09-22 22:41:51,071 - mmdet - INFO - Epoch [22][5050/7330] lr: 1.000e-04, eta: 13:10:13, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0306, loss_cls: 0.1623, acc: 94.0251, loss_bbox: 0.2077, loss_mask: 0.2133, loss: 0.6349 +2022-09-22 22:42:12,955 - mmdet - INFO - Epoch [22][5100/7330] lr: 1.000e-04, eta: 13:09:50, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0349, loss_cls: 0.1704, acc: 93.7537, loss_bbox: 0.2194, loss_mask: 0.2167, loss: 0.6657 +2022-09-22 22:42:34,853 - mmdet - INFO - Epoch [22][5150/7330] lr: 1.000e-04, eta: 13:09:27, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0300, loss_cls: 0.1461, acc: 94.7388, loss_bbox: 0.1877, loss_mask: 0.2149, loss: 0.5985 +2022-09-22 22:42:56,799 - mmdet - INFO - Epoch [22][5200/7330] lr: 1.000e-04, eta: 13:09:03, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0325, loss_cls: 0.1615, acc: 94.1116, loss_bbox: 0.2033, loss_mask: 0.2162, loss: 0.6357 +2022-09-22 22:43:18,857 - mmdet - INFO - Epoch [22][5250/7330] lr: 1.000e-04, eta: 13:08:40, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0315, loss_cls: 0.1544, acc: 94.4133, loss_bbox: 0.2012, loss_mask: 0.2099, loss: 0.6171 +2022-09-22 22:43:40,673 - mmdet - INFO - Epoch [22][5300/7330] lr: 1.000e-04, eta: 13:08:17, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0297, loss_cls: 0.1627, acc: 94.1255, loss_bbox: 0.2043, loss_mask: 0.2108, loss: 0.6288 +2022-09-22 22:44:02,920 - mmdet - INFO - Epoch [22][5350/7330] lr: 1.000e-04, eta: 13:07:54, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0319, loss_cls: 0.1671, acc: 93.8784, loss_bbox: 0.2067, loss_mask: 0.2114, loss: 0.6365 +2022-09-22 22:44:24,769 - mmdet - INFO - Epoch [22][5400/7330] lr: 1.000e-04, eta: 13:07:31, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0305, loss_cls: 0.1594, acc: 94.1506, loss_bbox: 0.2027, loss_mask: 0.2103, loss: 0.6235 +2022-09-22 22:44:46,634 - mmdet - INFO - Epoch [22][5450/7330] lr: 1.000e-04, eta: 13:07:07, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0310, loss_cls: 0.1589, acc: 94.2056, loss_bbox: 0.2004, loss_mask: 0.2142, loss: 0.6273 +2022-09-22 22:45:08,710 - mmdet - INFO - Epoch [22][5500/7330] lr: 1.000e-04, eta: 13:06:44, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0314, loss_cls: 0.1616, acc: 94.0596, loss_bbox: 0.2073, loss_mask: 0.2159, loss: 0.6372 +2022-09-22 22:45:30,256 - mmdet - INFO - Epoch [22][5550/7330] lr: 1.000e-04, eta: 13:06:20, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0313, loss_cls: 0.1635, acc: 93.9917, loss_bbox: 0.2079, loss_mask: 0.2128, loss: 0.6378 +2022-09-22 22:45:52,050 - mmdet - INFO - Epoch [22][5600/7330] lr: 1.000e-04, eta: 13:05:57, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0309, loss_cls: 0.1539, acc: 94.3625, loss_bbox: 0.2007, loss_mask: 0.2130, loss: 0.6197 +2022-09-22 22:46:13,659 - mmdet - INFO - Epoch [22][5650/7330] lr: 1.000e-04, eta: 13:05:33, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0300, loss_cls: 0.1562, acc: 94.2664, loss_bbox: 0.2054, loss_mask: 0.2143, loss: 0.6261 +2022-09-22 22:46:35,601 - mmdet - INFO - Epoch [22][5700/7330] lr: 1.000e-04, eta: 13:05:10, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0289, loss_cls: 0.1534, acc: 94.3530, loss_bbox: 0.1957, loss_mask: 0.2110, loss: 0.6098 +2022-09-22 22:46:56,990 - mmdet - INFO - Epoch [22][5750/7330] lr: 1.000e-04, eta: 13:04:46, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0307, loss_cls: 0.1569, acc: 94.2463, loss_bbox: 0.2010, loss_mask: 0.2109, loss: 0.6213 +2022-09-22 22:47:18,670 - mmdet - INFO - Epoch [22][5800/7330] lr: 1.000e-04, eta: 13:04:23, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0312, loss_cls: 0.1616, acc: 94.1326, loss_bbox: 0.2029, loss_mask: 0.2140, loss: 0.6316 +2022-09-22 22:47:40,646 - mmdet - INFO - Epoch [22][5850/7330] lr: 1.000e-04, eta: 13:03:59, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0315, loss_cls: 0.1540, acc: 94.4111, loss_bbox: 0.2006, loss_mask: 0.2100, loss: 0.6173 +2022-09-22 22:48:02,570 - mmdet - INFO - Epoch [22][5900/7330] lr: 1.000e-04, eta: 13:03:36, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0337, loss_cls: 0.1704, acc: 93.7808, loss_bbox: 0.2118, loss_mask: 0.2179, loss: 0.6561 +2022-09-22 22:48:24,597 - mmdet - INFO - Epoch [22][5950/7330] lr: 1.000e-04, eta: 13:03:13, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1563, acc: 94.3394, loss_bbox: 0.1993, loss_mask: 0.2122, loss: 0.6209 +2022-09-22 22:48:46,359 - mmdet - INFO - Epoch [22][6000/7330] lr: 1.000e-04, eta: 13:02:50, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0310, loss_cls: 0.1608, acc: 94.0354, loss_bbox: 0.2031, loss_mask: 0.2121, loss: 0.6297 +2022-09-22 22:49:08,343 - mmdet - INFO - Epoch [22][6050/7330] lr: 1.000e-04, eta: 13:02:26, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0311, loss_cls: 0.1609, acc: 94.0723, loss_bbox: 0.2047, loss_mask: 0.2131, loss: 0.6327 +2022-09-22 22:49:30,134 - mmdet - INFO - Epoch [22][6100/7330] lr: 1.000e-04, eta: 13:02:03, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0319, loss_cls: 0.1615, acc: 94.1560, loss_bbox: 0.2017, loss_mask: 0.2156, loss: 0.6317 +2022-09-22 22:49:52,258 - mmdet - INFO - Epoch [22][6150/7330] lr: 1.000e-04, eta: 13:01:40, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0334, loss_cls: 0.1592, acc: 94.1707, loss_bbox: 0.2089, loss_mask: 0.2178, loss: 0.6421 +2022-09-22 22:50:13,899 - mmdet - INFO - Epoch [22][6200/7330] lr: 1.000e-04, eta: 13:01:16, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0293, loss_cls: 0.1545, acc: 94.2932, loss_bbox: 0.1971, loss_mask: 0.2088, loss: 0.6107 +2022-09-22 22:50:36,302 - mmdet - INFO - Epoch [22][6250/7330] lr: 1.000e-04, eta: 13:00:54, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0302, loss_cls: 0.1535, acc: 94.4795, loss_bbox: 0.1965, loss_mask: 0.2085, loss: 0.6092 +2022-09-22 22:50:57,815 - mmdet - INFO - Epoch [22][6300/7330] lr: 1.000e-04, eta: 13:00:30, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0315, loss_cls: 0.1606, acc: 94.0466, loss_bbox: 0.2071, loss_mask: 0.2147, loss: 0.6358 +2022-09-22 22:51:19,652 - mmdet - INFO - Epoch [22][6350/7330] lr: 1.000e-04, eta: 13:00:06, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0325, loss_cls: 0.1615, acc: 94.0857, loss_bbox: 0.2097, loss_mask: 0.2166, loss: 0.6428 +2022-09-22 22:51:41,740 - mmdet - INFO - Epoch [22][6400/7330] lr: 1.000e-04, eta: 12:59:43, time: 0.442, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0292, loss_cls: 0.1632, acc: 93.9602, loss_bbox: 0.2050, loss_mask: 0.2137, loss: 0.6326 +2022-09-22 22:52:03,356 - mmdet - INFO - Epoch [22][6450/7330] lr: 1.000e-04, eta: 12:59:20, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0310, loss_cls: 0.1553, acc: 94.2676, loss_bbox: 0.1966, loss_mask: 0.2099, loss: 0.6137 +2022-09-22 22:52:25,069 - mmdet - INFO - Epoch [22][6500/7330] lr: 1.000e-04, eta: 12:58:56, time: 0.434, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0312, loss_cls: 0.1614, acc: 94.1965, loss_bbox: 0.2057, loss_mask: 0.2121, loss: 0.6324 +2022-09-22 22:52:47,271 - mmdet - INFO - Epoch [22][6550/7330] lr: 1.000e-04, eta: 12:58:33, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0303, loss_cls: 0.1624, acc: 94.0098, loss_bbox: 0.2079, loss_mask: 0.2145, loss: 0.6371 +2022-09-22 22:53:09,231 - mmdet - INFO - Epoch [22][6600/7330] lr: 1.000e-04, eta: 12:58:10, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0303, loss_cls: 0.1642, acc: 94.1042, loss_bbox: 0.2045, loss_mask: 0.2110, loss: 0.6303 +2022-09-22 22:53:31,006 - mmdet - INFO - Epoch [22][6650/7330] lr: 1.000e-04, eta: 12:57:47, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0295, loss_cls: 0.1472, acc: 94.5417, loss_bbox: 0.1950, loss_mask: 0.2061, loss: 0.5956 +2022-09-22 22:53:53,248 - mmdet - INFO - Epoch [22][6700/7330] lr: 1.000e-04, eta: 12:57:24, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0309, loss_cls: 0.1655, acc: 93.9387, loss_bbox: 0.2067, loss_mask: 0.2162, loss: 0.6414 +2022-09-22 22:54:15,158 - mmdet - INFO - Epoch [22][6750/7330] lr: 1.000e-04, eta: 12:57:00, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0300, loss_cls: 0.1596, acc: 94.1548, loss_bbox: 0.1961, loss_mask: 0.2120, loss: 0.6197 +2022-09-22 22:54:37,017 - mmdet - INFO - Epoch [22][6800/7330] lr: 1.000e-04, eta: 12:56:37, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0328, loss_cls: 0.1514, acc: 94.4485, loss_bbox: 0.1962, loss_mask: 0.2096, loss: 0.6123 +2022-09-22 22:54:58,911 - mmdet - INFO - Epoch [22][6850/7330] lr: 1.000e-04, eta: 12:56:14, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0271, loss_cls: 0.1452, acc: 94.7578, loss_bbox: 0.1768, loss_mask: 0.1999, loss: 0.5679 +2022-09-22 22:55:20,834 - mmdet - INFO - Epoch [22][6900/7330] lr: 1.000e-04, eta: 12:55:51, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0311, loss_cls: 0.1594, acc: 94.0947, loss_bbox: 0.2016, loss_mask: 0.2070, loss: 0.6207 +2022-09-22 22:55:42,664 - mmdet - INFO - Epoch [22][6950/7330] lr: 1.000e-04, eta: 12:55:27, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0295, loss_cls: 0.1544, acc: 94.3757, loss_bbox: 0.1977, loss_mask: 0.2136, loss: 0.6157 +2022-09-22 22:56:04,221 - mmdet - INFO - Epoch [22][7000/7330] lr: 1.000e-04, eta: 12:55:04, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0303, loss_cls: 0.1659, acc: 93.9421, loss_bbox: 0.2104, loss_mask: 0.2102, loss: 0.6391 +2022-09-22 22:56:26,543 - mmdet - INFO - Epoch [22][7050/7330] lr: 1.000e-04, eta: 12:54:41, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0312, loss_cls: 0.1604, acc: 94.0447, loss_bbox: 0.2015, loss_mask: 0.2069, loss: 0.6240 +2022-09-22 22:56:48,586 - mmdet - INFO - Epoch [22][7100/7330] lr: 1.000e-04, eta: 12:54:18, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0301, loss_cls: 0.1585, acc: 94.2493, loss_bbox: 0.2022, loss_mask: 0.2145, loss: 0.6264 +2022-09-22 22:57:10,657 - mmdet - INFO - Epoch [22][7150/7330] lr: 1.000e-04, eta: 12:53:55, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0324, loss_cls: 0.1648, acc: 94.0366, loss_bbox: 0.2038, loss_mask: 0.2100, loss: 0.6331 +2022-09-22 22:57:32,451 - mmdet - INFO - Epoch [22][7200/7330] lr: 1.000e-04, eta: 12:53:31, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0301, loss_cls: 0.1565, acc: 94.3616, loss_bbox: 0.1993, loss_mask: 0.2095, loss: 0.6178 +2022-09-22 22:57:54,442 - mmdet - INFO - Epoch [22][7250/7330] lr: 1.000e-04, eta: 12:53:08, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0300, loss_cls: 0.1561, acc: 94.3081, loss_bbox: 0.1971, loss_mask: 0.2112, loss: 0.6156 +2022-09-22 22:58:16,365 - mmdet - INFO - Epoch [22][7300/7330] lr: 1.000e-04, eta: 12:52:45, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0321, loss_cls: 0.1526, acc: 94.4866, loss_bbox: 0.1951, loss_mask: 0.2105, loss: 0.6134 +2022-09-22 22:58:39,964 - mmdet - INFO - Saving checkpoint at 22 epochs +2022-09-22 23:00:52,446 - mmdet - INFO - Evaluating bbox... +2022-09-22 23:01:22,290 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.485 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.708 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.531 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.326 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.527 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.628 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.610 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.432 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.653 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.753 + +2022-09-22 23:01:22,291 - mmdet - INFO - Evaluating segm... +2022-09-22 23:01:52,687 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.432 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.679 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.462 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.247 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.466 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.619 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.550 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.373 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.592 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.714 + +2022-09-22 23:01:53,353 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-22 23:01:53,354 - mmdet - INFO - Epoch(val) [22][625] bbox_mAP: 0.4850, bbox_mAP_50: 0.7080, bbox_mAP_75: 0.5310, bbox_mAP_s: 0.3260, bbox_mAP_m: 0.5270, bbox_mAP_l: 0.6280, bbox_mAP_copypaste: 0.485 0.708 0.531 0.326 0.527 0.628, segm_mAP: 0.4320, segm_mAP_50: 0.6790, segm_mAP_75: 0.4620, segm_mAP_s: 0.2470, segm_mAP_m: 0.4660, segm_mAP_l: 0.6190, segm_mAP_copypaste: 0.432 0.679 0.462 0.247 0.466 0.619 +2022-09-22 23:05:05,158 - mmdet - INFO - Epoch [23][50/7330] lr: 1.000e-04, eta: 12:54:44, time: 3.836, data_time: 3.386, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0311, loss_cls: 0.1532, acc: 94.3447, loss_bbox: 0.1990, loss_mask: 0.2131, loss: 0.6178 +2022-09-22 23:05:28,024 - mmdet - INFO - Epoch [23][100/7330] lr: 1.000e-04, eta: 12:54:22, time: 0.456, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0314, loss_cls: 0.1594, acc: 94.2041, loss_bbox: 0.2043, loss_mask: 0.2126, loss: 0.6294 +2022-09-22 23:05:50,355 - mmdet - INFO - Epoch [23][150/7330] lr: 1.000e-04, eta: 12:53:59, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0303, loss_cls: 0.1528, acc: 94.4197, loss_bbox: 0.1959, loss_mask: 0.2073, loss: 0.6073 +2022-09-22 23:06:12,794 - mmdet - INFO - Epoch [23][200/7330] lr: 1.000e-04, eta: 12:53:36, time: 0.449, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0322, loss_cls: 0.1515, acc: 94.3589, loss_bbox: 0.1976, loss_mask: 0.2089, loss: 0.6109 +2022-09-22 23:06:35,086 - mmdet - INFO - Epoch [23][250/7330] lr: 1.000e-04, eta: 12:53:13, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0325, loss_cls: 0.1439, acc: 94.6877, loss_bbox: 0.1906, loss_mask: 0.2052, loss: 0.5941 +2022-09-22 23:06:57,055 - mmdet - INFO - Epoch [23][300/7330] lr: 1.000e-04, eta: 12:52:49, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0297, loss_cls: 0.1477, acc: 94.5798, loss_bbox: 0.1879, loss_mask: 0.2019, loss: 0.5878 +2022-09-22 23:07:18,988 - mmdet - INFO - Epoch [23][350/7330] lr: 1.000e-04, eta: 12:52:26, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0282, loss_cls: 0.1416, acc: 94.8022, loss_bbox: 0.1861, loss_mask: 0.2050, loss: 0.5802 +2022-09-22 23:07:40,775 - mmdet - INFO - Epoch [23][400/7330] lr: 1.000e-04, eta: 12:52:02, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0294, loss_cls: 0.1555, acc: 94.2703, loss_bbox: 0.1975, loss_mask: 0.2034, loss: 0.6072 +2022-09-22 23:08:03,127 - mmdet - INFO - Epoch [23][450/7330] lr: 1.000e-04, eta: 12:51:39, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0309, loss_cls: 0.1655, acc: 93.9490, loss_bbox: 0.2101, loss_mask: 0.2121, loss: 0.6381 +2022-09-22 23:08:25,106 - mmdet - INFO - Epoch [23][500/7330] lr: 1.000e-04, eta: 12:51:16, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0313, loss_cls: 0.1555, acc: 94.2659, loss_bbox: 0.2053, loss_mask: 0.2116, loss: 0.6255 +2022-09-22 23:08:46,749 - mmdet - INFO - Epoch [23][550/7330] lr: 1.000e-04, eta: 12:50:53, time: 0.434, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0321, loss_cls: 0.1621, acc: 94.0857, loss_bbox: 0.2075, loss_mask: 0.2184, loss: 0.6416 +2022-09-22 23:09:08,748 - mmdet - INFO - Epoch [23][600/7330] lr: 1.000e-04, eta: 12:50:29, time: 0.440, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0306, loss_cls: 0.1599, acc: 94.2366, loss_bbox: 0.2028, loss_mask: 0.2153, loss: 0.6298 +2022-09-22 23:09:30,852 - mmdet - INFO - Epoch [23][650/7330] lr: 1.000e-04, eta: 12:50:06, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0294, loss_cls: 0.1520, acc: 94.3767, loss_bbox: 0.1960, loss_mask: 0.2091, loss: 0.6075 +2022-09-22 23:09:53,021 - mmdet - INFO - Epoch [23][700/7330] lr: 1.000e-04, eta: 12:49:43, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0311, loss_cls: 0.1489, acc: 94.5312, loss_bbox: 0.1948, loss_mask: 0.2124, loss: 0.6093 +2022-09-22 23:10:15,316 - mmdet - INFO - Epoch [23][750/7330] lr: 1.000e-04, eta: 12:49:20, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0291, loss_cls: 0.1551, acc: 94.3999, loss_bbox: 0.1919, loss_mask: 0.2116, loss: 0.6085 +2022-09-22 23:10:37,506 - mmdet - INFO - Epoch [23][800/7330] lr: 1.000e-04, eta: 12:48:57, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0311, loss_cls: 0.1539, acc: 94.3628, loss_bbox: 0.1979, loss_mask: 0.2142, loss: 0.6186 +2022-09-22 23:10:59,374 - mmdet - INFO - Epoch [23][850/7330] lr: 1.000e-04, eta: 12:48:33, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0272, loss_cls: 0.1512, acc: 94.5066, loss_bbox: 0.1925, loss_mask: 0.2145, loss: 0.6039 +2022-09-22 23:11:21,599 - mmdet - INFO - Epoch [23][900/7330] lr: 1.000e-04, eta: 12:48:10, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0337, loss_cls: 0.1682, acc: 93.7451, loss_bbox: 0.2166, loss_mask: 0.2217, loss: 0.6651 +2022-09-22 23:11:43,303 - mmdet - INFO - Epoch [23][950/7330] lr: 1.000e-04, eta: 12:47:47, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0305, loss_cls: 0.1509, acc: 94.3826, loss_bbox: 0.1993, loss_mask: 0.2083, loss: 0.6084 +2022-09-22 23:12:05,335 - mmdet - INFO - Epoch [23][1000/7330] lr: 1.000e-04, eta: 12:47:23, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0353, loss_cls: 0.1610, acc: 93.9583, loss_bbox: 0.2086, loss_mask: 0.2149, loss: 0.6438 +2022-09-22 23:12:27,702 - mmdet - INFO - Epoch [23][1050/7330] lr: 1.000e-04, eta: 12:47:00, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0316, loss_cls: 0.1569, acc: 94.1907, loss_bbox: 0.1963, loss_mask: 0.2089, loss: 0.6161 +2022-09-22 23:12:49,857 - mmdet - INFO - Epoch [23][1100/7330] lr: 1.000e-04, eta: 12:46:37, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0312, loss_cls: 0.1566, acc: 94.2463, loss_bbox: 0.2037, loss_mask: 0.2072, loss: 0.6182 +2022-09-22 23:13:11,917 - mmdet - INFO - Epoch [23][1150/7330] lr: 1.000e-04, eta: 12:46:14, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0302, loss_cls: 0.1479, acc: 94.4343, loss_bbox: 0.1935, loss_mask: 0.2033, loss: 0.5963 +2022-09-22 23:13:33,821 - mmdet - INFO - Epoch [23][1200/7330] lr: 1.000e-04, eta: 12:45:51, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0306, loss_cls: 0.1561, acc: 94.2388, loss_bbox: 0.2013, loss_mask: 0.2097, loss: 0.6203 +2022-09-22 23:13:55,565 - mmdet - INFO - Epoch [23][1250/7330] lr: 1.000e-04, eta: 12:45:27, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0287, loss_cls: 0.1489, acc: 94.4958, loss_bbox: 0.1908, loss_mask: 0.2019, loss: 0.5890 +2022-09-22 23:14:17,587 - mmdet - INFO - Epoch [23][1300/7330] lr: 1.000e-04, eta: 12:45:04, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0312, loss_cls: 0.1613, acc: 94.0500, loss_bbox: 0.2044, loss_mask: 0.2077, loss: 0.6264 +2022-09-22 23:14:40,146 - mmdet - INFO - Epoch [23][1350/7330] lr: 1.000e-04, eta: 12:44:41, time: 0.451, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0317, loss_cls: 0.1625, acc: 94.0391, loss_bbox: 0.2040, loss_mask: 0.2126, loss: 0.6317 +2022-09-22 23:15:02,273 - mmdet - INFO - Epoch [23][1400/7330] lr: 1.000e-04, eta: 12:44:18, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0291, loss_cls: 0.1552, acc: 94.3472, loss_bbox: 0.1951, loss_mask: 0.2061, loss: 0.6072 +2022-09-22 23:15:24,018 - mmdet - INFO - Epoch [23][1450/7330] lr: 1.000e-04, eta: 12:43:54, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0275, loss_cls: 0.1518, acc: 94.5247, loss_bbox: 0.1895, loss_mask: 0.2021, loss: 0.5890 +2022-09-22 23:15:46,405 - mmdet - INFO - Epoch [23][1500/7330] lr: 1.000e-04, eta: 12:43:31, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0311, loss_cls: 0.1615, acc: 94.0452, loss_bbox: 0.2073, loss_mask: 0.2138, loss: 0.6348 +2022-09-22 23:16:08,555 - mmdet - INFO - Epoch [23][1550/7330] lr: 1.000e-04, eta: 12:43:08, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0315, loss_cls: 0.1665, acc: 94.0166, loss_bbox: 0.2127, loss_mask: 0.2140, loss: 0.6477 +2022-09-22 23:16:31,034 - mmdet - INFO - Epoch [23][1600/7330] lr: 1.000e-04, eta: 12:42:46, time: 0.450, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0292, loss_cls: 0.1488, acc: 94.5649, loss_bbox: 0.1954, loss_mask: 0.2122, loss: 0.6047 +2022-09-22 23:16:53,211 - mmdet - INFO - Epoch [23][1650/7330] lr: 1.000e-04, eta: 12:42:22, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0312, loss_cls: 0.1616, acc: 93.9846, loss_bbox: 0.2076, loss_mask: 0.2126, loss: 0.6348 +2022-09-22 23:17:15,298 - mmdet - INFO - Epoch [23][1700/7330] lr: 1.000e-04, eta: 12:41:59, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0301, loss_cls: 0.1585, acc: 94.2380, loss_bbox: 0.2010, loss_mask: 0.2117, loss: 0.6214 +2022-09-22 23:17:36,889 - mmdet - INFO - Epoch [23][1750/7330] lr: 1.000e-04, eta: 12:41:36, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0293, loss_cls: 0.1580, acc: 94.3347, loss_bbox: 0.1976, loss_mask: 0.2059, loss: 0.6104 +2022-09-22 23:17:59,704 - mmdet - INFO - Epoch [23][1800/7330] lr: 1.000e-04, eta: 12:41:13, time: 0.456, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0327, loss_cls: 0.1608, acc: 94.1140, loss_bbox: 0.2036, loss_mask: 0.2102, loss: 0.6287 +2022-09-22 23:18:22,009 - mmdet - INFO - Epoch [23][1850/7330] lr: 1.000e-04, eta: 12:40:50, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0303, loss_cls: 0.1510, acc: 94.5083, loss_bbox: 0.1946, loss_mask: 0.2096, loss: 0.6065 +2022-09-22 23:18:43,874 - mmdet - INFO - Epoch [23][1900/7330] lr: 1.000e-04, eta: 12:40:27, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0301, loss_cls: 0.1546, acc: 94.3599, loss_bbox: 0.2011, loss_mask: 0.2111, loss: 0.6166 +2022-09-22 23:19:06,001 - mmdet - INFO - Epoch [23][1950/7330] lr: 1.000e-04, eta: 12:40:04, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0339, loss_cls: 0.1676, acc: 93.7927, loss_bbox: 0.2140, loss_mask: 0.2209, loss: 0.6588 +2022-09-22 23:19:28,042 - mmdet - INFO - Epoch [23][2000/7330] lr: 1.000e-04, eta: 12:39:40, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0310, loss_cls: 0.1578, acc: 94.2163, loss_bbox: 0.2041, loss_mask: 0.2139, loss: 0.6277 +2022-09-22 23:19:49,920 - mmdet - INFO - Epoch [23][2050/7330] lr: 1.000e-04, eta: 12:39:17, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0292, loss_cls: 0.1513, acc: 94.4121, loss_bbox: 0.1970, loss_mask: 0.2047, loss: 0.6004 +2022-09-22 23:20:11,613 - mmdet - INFO - Epoch [23][2100/7330] lr: 1.000e-04, eta: 12:38:53, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0310, loss_cls: 0.1610, acc: 94.1914, loss_bbox: 0.2035, loss_mask: 0.2133, loss: 0.6308 +2022-09-22 23:20:33,825 - mmdet - INFO - Epoch [23][2150/7330] lr: 1.000e-04, eta: 12:38:30, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0329, loss_cls: 0.1667, acc: 93.9265, loss_bbox: 0.2123, loss_mask: 0.2120, loss: 0.6479 +2022-09-22 23:20:55,487 - mmdet - INFO - Epoch [23][2200/7330] lr: 1.000e-04, eta: 12:38:07, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0309, loss_cls: 0.1489, acc: 94.5439, loss_bbox: 0.1955, loss_mask: 0.2063, loss: 0.6016 +2022-09-22 23:21:17,769 - mmdet - INFO - Epoch [23][2250/7330] lr: 1.000e-04, eta: 12:37:44, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0284, loss_cls: 0.1476, acc: 94.5938, loss_bbox: 0.1946, loss_mask: 0.2081, loss: 0.5973 +2022-09-22 23:21:40,075 - mmdet - INFO - Epoch [23][2300/7330] lr: 1.000e-04, eta: 12:37:21, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0309, loss_cls: 0.1497, acc: 94.5308, loss_bbox: 0.1934, loss_mask: 0.2095, loss: 0.6044 +2022-09-22 23:22:01,859 - mmdet - INFO - Epoch [23][2350/7330] lr: 1.000e-04, eta: 12:36:57, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0295, loss_cls: 0.1532, acc: 94.4502, loss_bbox: 0.1991, loss_mask: 0.2117, loss: 0.6138 +2022-09-22 23:22:23,949 - mmdet - INFO - Epoch [23][2400/7330] lr: 1.000e-04, eta: 12:36:34, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0310, loss_cls: 0.1565, acc: 94.2483, loss_bbox: 0.2059, loss_mask: 0.2130, loss: 0.6286 +2022-09-22 23:22:46,038 - mmdet - INFO - Epoch [23][2450/7330] lr: 1.000e-04, eta: 12:36:11, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0295, loss_cls: 0.1550, acc: 94.4863, loss_bbox: 0.1936, loss_mask: 0.2082, loss: 0.6080 +2022-09-22 23:23:07,631 - mmdet - INFO - Epoch [23][2500/7330] lr: 1.000e-04, eta: 12:35:47, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0293, loss_cls: 0.1521, acc: 94.3972, loss_bbox: 0.1944, loss_mask: 0.2081, loss: 0.6044 +2022-09-22 23:23:29,799 - mmdet - INFO - Epoch [23][2550/7330] lr: 1.000e-04, eta: 12:35:24, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0318, loss_cls: 0.1600, acc: 94.0559, loss_bbox: 0.2044, loss_mask: 0.2143, loss: 0.6305 +2022-09-22 23:23:51,657 - mmdet - INFO - Epoch [23][2600/7330] lr: 1.000e-04, eta: 12:35:01, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0293, loss_cls: 0.1498, acc: 94.5483, loss_bbox: 0.1920, loss_mask: 0.2136, loss: 0.6072 +2022-09-22 23:24:13,761 - mmdet - INFO - Epoch [23][2650/7330] lr: 1.000e-04, eta: 12:34:38, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0318, loss_cls: 0.1521, acc: 94.3738, loss_bbox: 0.1922, loss_mask: 0.2032, loss: 0.6008 +2022-09-22 23:24:35,918 - mmdet - INFO - Epoch [23][2700/7330] lr: 1.000e-04, eta: 12:34:14, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0304, loss_cls: 0.1383, acc: 94.8835, loss_bbox: 0.1809, loss_mask: 0.2018, loss: 0.5714 +2022-09-22 23:24:58,343 - mmdet - INFO - Epoch [23][2750/7330] lr: 1.000e-04, eta: 12:33:52, time: 0.448, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0307, loss_cls: 0.1483, acc: 94.5847, loss_bbox: 0.1862, loss_mask: 0.2031, loss: 0.5883 +2022-09-22 23:25:19,910 - mmdet - INFO - Epoch [23][2800/7330] lr: 1.000e-04, eta: 12:33:28, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0319, loss_cls: 0.1468, acc: 94.5508, loss_bbox: 0.1956, loss_mask: 0.2063, loss: 0.6023 +2022-09-22 23:25:42,532 - mmdet - INFO - Epoch [23][2850/7330] lr: 1.000e-04, eta: 12:33:05, time: 0.453, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0318, loss_cls: 0.1579, acc: 94.1399, loss_bbox: 0.2057, loss_mask: 0.2110, loss: 0.6278 +2022-09-22 23:26:04,532 - mmdet - INFO - Epoch [23][2900/7330] lr: 1.000e-04, eta: 12:32:42, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0317, loss_cls: 0.1526, acc: 94.3455, loss_bbox: 0.1970, loss_mask: 0.2031, loss: 0.6069 +2022-09-22 23:26:26,109 - mmdet - INFO - Epoch [23][2950/7330] lr: 1.000e-04, eta: 12:32:18, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0285, loss_cls: 0.1509, acc: 94.4878, loss_bbox: 0.1927, loss_mask: 0.2064, loss: 0.5972 +2022-09-22 23:26:47,992 - mmdet - INFO - Epoch [23][3000/7330] lr: 1.000e-04, eta: 12:31:55, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0297, loss_cls: 0.1507, acc: 94.4871, loss_bbox: 0.1901, loss_mask: 0.2071, loss: 0.5979 +2022-09-22 23:27:09,542 - mmdet - INFO - Epoch [23][3050/7330] lr: 1.000e-04, eta: 12:31:31, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0331, loss_cls: 0.1556, acc: 94.3262, loss_bbox: 0.1989, loss_mask: 0.2142, loss: 0.6225 +2022-09-22 23:27:32,045 - mmdet - INFO - Epoch [23][3100/7330] lr: 1.000e-04, eta: 12:31:08, time: 0.450, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0319, loss_cls: 0.1432, acc: 94.6367, loss_bbox: 0.1874, loss_mask: 0.2031, loss: 0.5852 +2022-09-22 23:27:53,820 - mmdet - INFO - Epoch [23][3150/7330] lr: 1.000e-04, eta: 12:30:45, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0314, loss_cls: 0.1573, acc: 94.2585, loss_bbox: 0.2015, loss_mask: 0.2101, loss: 0.6228 +2022-09-22 23:28:15,774 - mmdet - INFO - Epoch [23][3200/7330] lr: 1.000e-04, eta: 12:30:22, time: 0.439, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0300, loss_cls: 0.1565, acc: 94.2683, loss_bbox: 0.1952, loss_mask: 0.2052, loss: 0.6092 +2022-09-22 23:28:37,645 - mmdet - INFO - Epoch [23][3250/7330] lr: 1.000e-04, eta: 12:29:58, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0292, loss_cls: 0.1531, acc: 94.3145, loss_bbox: 0.1927, loss_mask: 0.2055, loss: 0.6006 +2022-09-22 23:28:58,969 - mmdet - INFO - Epoch [23][3300/7330] lr: 1.000e-04, eta: 12:29:35, time: 0.426, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0298, loss_cls: 0.1566, acc: 94.2515, loss_bbox: 0.1996, loss_mask: 0.2132, loss: 0.6204 +2022-09-22 23:29:20,527 - mmdet - INFO - Epoch [23][3350/7330] lr: 1.000e-04, eta: 12:29:11, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0314, loss_cls: 0.1652, acc: 93.9961, loss_bbox: 0.2112, loss_mask: 0.2149, loss: 0.6445 +2022-09-22 23:29:42,005 - mmdet - INFO - Epoch [23][3400/7330] lr: 1.000e-04, eta: 12:28:47, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0302, loss_cls: 0.1529, acc: 94.3892, loss_bbox: 0.1987, loss_mask: 0.2077, loss: 0.6086 +2022-09-22 23:30:04,260 - mmdet - INFO - Epoch [23][3450/7330] lr: 1.000e-04, eta: 12:28:24, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0327, loss_cls: 0.1563, acc: 94.2441, loss_bbox: 0.2021, loss_mask: 0.2090, loss: 0.6230 +2022-09-22 23:30:25,801 - mmdet - INFO - Epoch [23][3500/7330] lr: 1.000e-04, eta: 12:28:00, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0329, loss_cls: 0.1580, acc: 94.2322, loss_bbox: 0.2006, loss_mask: 0.2128, loss: 0.6288 +2022-09-22 23:30:48,038 - mmdet - INFO - Epoch [23][3550/7330] lr: 1.000e-04, eta: 12:27:37, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0324, loss_cls: 0.1526, acc: 94.2817, loss_bbox: 0.1940, loss_mask: 0.2057, loss: 0.6072 +2022-09-22 23:31:09,634 - mmdet - INFO - Epoch [23][3600/7330] lr: 1.000e-04, eta: 12:27:14, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0309, loss_cls: 0.1503, acc: 94.4106, loss_bbox: 0.1949, loss_mask: 0.2092, loss: 0.6056 +2022-09-22 23:31:31,154 - mmdet - INFO - Epoch [23][3650/7330] lr: 1.000e-04, eta: 12:26:50, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0304, loss_cls: 0.1498, acc: 94.4497, loss_bbox: 0.1956, loss_mask: 0.2121, loss: 0.6076 +2022-09-22 23:31:53,327 - mmdet - INFO - Epoch [23][3700/7330] lr: 1.000e-04, eta: 12:26:27, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0317, loss_cls: 0.1516, acc: 94.3755, loss_bbox: 0.2004, loss_mask: 0.2096, loss: 0.6146 +2022-09-22 23:32:15,048 - mmdet - INFO - Epoch [23][3750/7330] lr: 1.000e-04, eta: 12:26:04, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0271, loss_cls: 0.1412, acc: 94.6907, loss_bbox: 0.1901, loss_mask: 0.2106, loss: 0.5863 +2022-09-22 23:32:36,696 - mmdet - INFO - Epoch [23][3800/7330] lr: 1.000e-04, eta: 12:25:40, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0314, loss_cls: 0.1566, acc: 94.2598, loss_bbox: 0.1995, loss_mask: 0.2111, loss: 0.6209 +2022-09-22 23:32:58,100 - mmdet - INFO - Epoch [23][3850/7330] lr: 1.000e-04, eta: 12:25:16, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0305, loss_cls: 0.1542, acc: 94.1885, loss_bbox: 0.2032, loss_mask: 0.2139, loss: 0.6204 +2022-09-22 23:33:19,828 - mmdet - INFO - Epoch [23][3900/7330] lr: 1.000e-04, eta: 12:24:53, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0308, loss_cls: 0.1559, acc: 94.2849, loss_bbox: 0.1974, loss_mask: 0.2090, loss: 0.6136 +2022-09-22 23:33:41,641 - mmdet - INFO - Epoch [23][3950/7330] lr: 1.000e-04, eta: 12:24:29, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0297, loss_cls: 0.1584, acc: 94.2163, loss_bbox: 0.1942, loss_mask: 0.2022, loss: 0.6062 +2022-09-22 23:34:03,109 - mmdet - INFO - Epoch [23][4000/7330] lr: 1.000e-04, eta: 12:24:06, time: 0.429, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0325, loss_cls: 0.1589, acc: 94.2209, loss_bbox: 0.2040, loss_mask: 0.2096, loss: 0.6274 +2022-09-22 23:34:25,006 - mmdet - INFO - Epoch [23][4050/7330] lr: 1.000e-04, eta: 12:23:42, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0323, loss_cls: 0.1605, acc: 94.1562, loss_bbox: 0.2004, loss_mask: 0.2152, loss: 0.6320 +2022-09-22 23:34:46,371 - mmdet - INFO - Epoch [23][4100/7330] lr: 1.000e-04, eta: 12:23:19, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0297, loss_cls: 0.1465, acc: 94.5833, loss_bbox: 0.1918, loss_mask: 0.2096, loss: 0.5972 +2022-09-22 23:35:08,096 - mmdet - INFO - Epoch [23][4150/7330] lr: 1.000e-04, eta: 12:22:55, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1567, acc: 94.2178, loss_bbox: 0.2002, loss_mask: 0.2112, loss: 0.6212 +2022-09-22 23:35:30,194 - mmdet - INFO - Epoch [23][4200/7330] lr: 1.000e-04, eta: 12:22:32, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0307, loss_cls: 0.1514, acc: 94.3960, loss_bbox: 0.1950, loss_mask: 0.2106, loss: 0.6088 +2022-09-22 23:35:52,119 - mmdet - INFO - Epoch [23][4250/7330] lr: 1.000e-04, eta: 12:22:09, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0308, loss_cls: 0.1583, acc: 94.1738, loss_bbox: 0.2051, loss_mask: 0.2123, loss: 0.6275 +2022-09-22 23:36:14,195 - mmdet - INFO - Epoch [23][4300/7330] lr: 1.000e-04, eta: 12:21:45, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0310, loss_cls: 0.1496, acc: 94.5251, loss_bbox: 0.1944, loss_mask: 0.2029, loss: 0.6005 +2022-09-22 23:36:35,696 - mmdet - INFO - Epoch [23][4350/7330] lr: 1.000e-04, eta: 12:21:22, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0313, loss_cls: 0.1608, acc: 94.1724, loss_bbox: 0.2030, loss_mask: 0.2065, loss: 0.6222 +2022-09-22 23:36:57,739 - mmdet - INFO - Epoch [23][4400/7330] lr: 1.000e-04, eta: 12:20:59, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0307, loss_cls: 0.1549, acc: 94.3582, loss_bbox: 0.1973, loss_mask: 0.2102, loss: 0.6135 +2022-09-22 23:37:19,283 - mmdet - INFO - Epoch [23][4450/7330] lr: 1.000e-04, eta: 12:20:35, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0295, loss_cls: 0.1536, acc: 94.4299, loss_bbox: 0.1946, loss_mask: 0.2092, loss: 0.6076 +2022-09-22 23:37:40,907 - mmdet - INFO - Epoch [23][4500/7330] lr: 1.000e-04, eta: 12:20:11, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0302, loss_cls: 0.1557, acc: 94.3167, loss_bbox: 0.1996, loss_mask: 0.2122, loss: 0.6190 +2022-09-22 23:38:02,848 - mmdet - INFO - Epoch [23][4550/7330] lr: 1.000e-04, eta: 12:19:48, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0309, loss_cls: 0.1553, acc: 94.3625, loss_bbox: 0.2027, loss_mask: 0.2114, loss: 0.6210 +2022-09-22 23:38:25,143 - mmdet - INFO - Epoch [23][4600/7330] lr: 1.000e-04, eta: 12:19:25, time: 0.448, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0293, loss_cls: 0.1516, acc: 94.4060, loss_bbox: 0.1946, loss_mask: 0.2063, loss: 0.6010 +2022-09-22 23:38:46,406 - mmdet - INFO - Epoch [23][4650/7330] lr: 1.000e-04, eta: 12:19:01, time: 0.425, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0304, loss_cls: 0.1593, acc: 94.2590, loss_bbox: 0.2025, loss_mask: 0.2073, loss: 0.6222 +2022-09-22 23:39:08,287 - mmdet - INFO - Epoch [23][4700/7330] lr: 1.000e-04, eta: 12:18:38, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0302, loss_cls: 0.1597, acc: 94.2302, loss_bbox: 0.2042, loss_mask: 0.2116, loss: 0.6277 +2022-09-22 23:39:30,001 - mmdet - INFO - Epoch [23][4750/7330] lr: 1.000e-04, eta: 12:18:15, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0332, loss_cls: 0.1634, acc: 93.9851, loss_bbox: 0.2104, loss_mask: 0.2101, loss: 0.6391 +2022-09-22 23:39:51,726 - mmdet - INFO - Epoch [23][4800/7330] lr: 1.000e-04, eta: 12:17:51, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0302, loss_cls: 0.1607, acc: 94.1907, loss_bbox: 0.2029, loss_mask: 0.2129, loss: 0.6283 +2022-09-22 23:40:13,677 - mmdet - INFO - Epoch [23][4850/7330] lr: 1.000e-04, eta: 12:17:28, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0305, loss_cls: 0.1633, acc: 94.0615, loss_bbox: 0.2038, loss_mask: 0.2123, loss: 0.6313 +2022-09-22 23:40:36,009 - mmdet - INFO - Epoch [23][4900/7330] lr: 1.000e-04, eta: 12:17:05, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0295, loss_cls: 0.1562, acc: 94.2156, loss_bbox: 0.1977, loss_mask: 0.2116, loss: 0.6151 +2022-09-22 23:40:57,585 - mmdet - INFO - Epoch [23][4950/7330] lr: 1.000e-04, eta: 12:16:41, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0299, loss_cls: 0.1540, acc: 94.2947, loss_bbox: 0.2001, loss_mask: 0.2140, loss: 0.6192 +2022-09-22 23:41:18,849 - mmdet - INFO - Epoch [23][5000/7330] lr: 1.000e-04, eta: 12:16:18, time: 0.425, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0308, loss_cls: 0.1602, acc: 94.1182, loss_bbox: 0.2032, loss_mask: 0.2154, loss: 0.6298 +2022-09-22 23:41:40,268 - mmdet - INFO - Epoch [23][5050/7330] lr: 1.000e-04, eta: 12:15:54, time: 0.428, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0300, loss_cls: 0.1563, acc: 94.3535, loss_bbox: 0.1962, loss_mask: 0.2115, loss: 0.6167 +2022-09-22 23:42:02,033 - mmdet - INFO - Epoch [23][5100/7330] lr: 1.000e-04, eta: 12:15:30, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0311, loss_cls: 0.1513, acc: 94.4480, loss_bbox: 0.1961, loss_mask: 0.2101, loss: 0.6094 +2022-09-22 23:42:23,999 - mmdet - INFO - Epoch [23][5150/7330] lr: 1.000e-04, eta: 12:15:07, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0293, loss_cls: 0.1571, acc: 94.3496, loss_bbox: 0.1967, loss_mask: 0.2123, loss: 0.6166 +2022-09-22 23:42:45,780 - mmdet - INFO - Epoch [23][5200/7330] lr: 1.000e-04, eta: 12:14:44, time: 0.436, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0328, loss_cls: 0.1620, acc: 93.9783, loss_bbox: 0.2084, loss_mask: 0.2119, loss: 0.6371 +2022-09-22 23:43:07,438 - mmdet - INFO - Epoch [23][5250/7330] lr: 1.000e-04, eta: 12:14:20, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0288, loss_cls: 0.1588, acc: 94.2151, loss_bbox: 0.2039, loss_mask: 0.2052, loss: 0.6178 +2022-09-22 23:43:28,895 - mmdet - INFO - Epoch [23][5300/7330] lr: 1.000e-04, eta: 12:13:57, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0294, loss_cls: 0.1466, acc: 94.5283, loss_bbox: 0.1936, loss_mask: 0.2074, loss: 0.5962 +2022-09-22 23:43:50,338 - mmdet - INFO - Epoch [23][5350/7330] lr: 1.000e-04, eta: 12:13:33, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0302, loss_cls: 0.1625, acc: 93.9307, loss_bbox: 0.2065, loss_mask: 0.2131, loss: 0.6326 +2022-09-22 23:44:12,176 - mmdet - INFO - Epoch [23][5400/7330] lr: 1.000e-04, eta: 12:13:10, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0293, loss_cls: 0.1566, acc: 94.2397, loss_bbox: 0.1957, loss_mask: 0.2056, loss: 0.6059 +2022-09-22 23:44:33,600 - mmdet - INFO - Epoch [23][5450/7330] lr: 1.000e-04, eta: 12:12:46, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0285, loss_cls: 0.1516, acc: 94.4692, loss_bbox: 0.1921, loss_mask: 0.2079, loss: 0.5998 +2022-09-22 23:44:55,282 - mmdet - INFO - Epoch [23][5500/7330] lr: 1.000e-04, eta: 12:12:22, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0323, loss_cls: 0.1643, acc: 94.0330, loss_bbox: 0.2077, loss_mask: 0.2135, loss: 0.6410 +2022-09-22 23:45:16,823 - mmdet - INFO - Epoch [23][5550/7330] lr: 1.000e-04, eta: 12:11:59, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0320, loss_cls: 0.1580, acc: 94.2524, loss_bbox: 0.2033, loss_mask: 0.2121, loss: 0.6281 +2022-09-22 23:45:38,590 - mmdet - INFO - Epoch [23][5600/7330] lr: 1.000e-04, eta: 12:11:35, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0333, loss_cls: 0.1621, acc: 94.0535, loss_bbox: 0.2067, loss_mask: 0.2138, loss: 0.6386 +2022-09-22 23:46:00,422 - mmdet - INFO - Epoch [23][5650/7330] lr: 1.000e-04, eta: 12:11:12, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0302, loss_cls: 0.1532, acc: 94.3601, loss_bbox: 0.1999, loss_mask: 0.2126, loss: 0.6180 +2022-09-22 23:46:22,565 - mmdet - INFO - Epoch [23][5700/7330] lr: 1.000e-04, eta: 12:10:49, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0310, loss_cls: 0.1554, acc: 94.3718, loss_bbox: 0.1997, loss_mask: 0.2117, loss: 0.6188 +2022-09-22 23:46:44,452 - mmdet - INFO - Epoch [23][5750/7330] lr: 1.000e-04, eta: 12:10:26, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0308, loss_cls: 0.1606, acc: 94.0527, loss_bbox: 0.2051, loss_mask: 0.2164, loss: 0.6350 +2022-09-22 23:47:06,574 - mmdet - INFO - Epoch [23][5800/7330] lr: 1.000e-04, eta: 12:10:03, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0289, loss_cls: 0.1459, acc: 94.5459, loss_bbox: 0.1880, loss_mask: 0.2040, loss: 0.5895 +2022-09-22 23:47:28,203 - mmdet - INFO - Epoch [23][5850/7330] lr: 1.000e-04, eta: 12:09:39, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0294, loss_cls: 0.1499, acc: 94.5381, loss_bbox: 0.1876, loss_mask: 0.2031, loss: 0.5928 +2022-09-22 23:47:49,900 - mmdet - INFO - Epoch [23][5900/7330] lr: 1.000e-04, eta: 12:09:16, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0321, loss_cls: 0.1572, acc: 94.1606, loss_bbox: 0.2021, loss_mask: 0.2117, loss: 0.6266 +2022-09-22 23:48:11,657 - mmdet - INFO - Epoch [23][5950/7330] lr: 1.000e-04, eta: 12:08:52, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0280, loss_cls: 0.1474, acc: 94.5745, loss_bbox: 0.1861, loss_mask: 0.2056, loss: 0.5859 +2022-09-22 23:48:33,562 - mmdet - INFO - Epoch [23][6000/7330] lr: 1.000e-04, eta: 12:08:29, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0288, loss_cls: 0.1544, acc: 94.3149, loss_bbox: 0.1917, loss_mask: 0.2066, loss: 0.6038 +2022-09-22 23:48:55,520 - mmdet - INFO - Epoch [23][6050/7330] lr: 1.000e-04, eta: 12:08:06, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0303, loss_cls: 0.1643, acc: 94.0129, loss_bbox: 0.2035, loss_mask: 0.2123, loss: 0.6316 +2022-09-22 23:49:17,508 - mmdet - INFO - Epoch [23][6100/7330] lr: 1.000e-04, eta: 12:07:43, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0309, loss_cls: 0.1565, acc: 94.3674, loss_bbox: 0.1964, loss_mask: 0.2150, loss: 0.6210 +2022-09-22 23:49:39,893 - mmdet - INFO - Epoch [23][6150/7330] lr: 1.000e-04, eta: 12:07:20, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0317, loss_cls: 0.1567, acc: 94.2200, loss_bbox: 0.2012, loss_mask: 0.2170, loss: 0.6271 +2022-09-22 23:50:02,130 - mmdet - INFO - Epoch [23][6200/7330] lr: 1.000e-04, eta: 12:06:57, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0311, loss_cls: 0.1664, acc: 93.9856, loss_bbox: 0.2079, loss_mask: 0.2173, loss: 0.6431 +2022-09-22 23:50:23,895 - mmdet - INFO - Epoch [23][6250/7330] lr: 1.000e-04, eta: 12:06:34, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0310, loss_cls: 0.1639, acc: 93.9287, loss_bbox: 0.2059, loss_mask: 0.2125, loss: 0.6357 +2022-09-22 23:50:45,621 - mmdet - INFO - Epoch [23][6300/7330] lr: 1.000e-04, eta: 12:06:10, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0290, loss_cls: 0.1526, acc: 94.5361, loss_bbox: 0.1904, loss_mask: 0.2089, loss: 0.6001 +2022-09-22 23:51:07,057 - mmdet - INFO - Epoch [23][6350/7330] lr: 1.000e-04, eta: 12:05:47, time: 0.429, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0313, loss_cls: 0.1552, acc: 94.4846, loss_bbox: 0.1941, loss_mask: 0.2113, loss: 0.6121 +2022-09-22 23:51:28,170 - mmdet - INFO - Epoch [23][6400/7330] lr: 1.000e-04, eta: 12:05:23, time: 0.422, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0303, loss_cls: 0.1571, acc: 94.3035, loss_bbox: 0.2032, loss_mask: 0.2123, loss: 0.6256 +2022-09-22 23:51:49,982 - mmdet - INFO - Epoch [23][6450/7330] lr: 1.000e-04, eta: 12:04:59, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0306, loss_cls: 0.1494, acc: 94.5112, loss_bbox: 0.1957, loss_mask: 0.2166, loss: 0.6135 +2022-09-22 23:52:11,941 - mmdet - INFO - Epoch [23][6500/7330] lr: 1.000e-04, eta: 12:04:36, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0316, loss_cls: 0.1507, acc: 94.4695, loss_bbox: 0.1966, loss_mask: 0.2123, loss: 0.6141 +2022-09-22 23:52:33,455 - mmdet - INFO - Epoch [23][6550/7330] lr: 1.000e-04, eta: 12:04:12, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0320, loss_cls: 0.1612, acc: 94.0869, loss_bbox: 0.2049, loss_mask: 0.2174, loss: 0.6379 +2022-09-22 23:52:54,866 - mmdet - INFO - Epoch [23][6600/7330] lr: 1.000e-04, eta: 12:03:49, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0298, loss_cls: 0.1618, acc: 94.2236, loss_bbox: 0.1999, loss_mask: 0.2147, loss: 0.6262 +2022-09-22 23:53:16,595 - mmdet - INFO - Epoch [23][6650/7330] lr: 1.000e-04, eta: 12:03:25, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0322, loss_cls: 0.1577, acc: 94.2134, loss_bbox: 0.1976, loss_mask: 0.2097, loss: 0.6186 +2022-09-22 23:53:38,608 - mmdet - INFO - Epoch [23][6700/7330] lr: 1.000e-04, eta: 12:03:02, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0307, loss_cls: 0.1517, acc: 94.4902, loss_bbox: 0.1964, loss_mask: 0.2107, loss: 0.6117 +2022-09-22 23:54:00,204 - mmdet - INFO - Epoch [23][6750/7330] lr: 1.000e-04, eta: 12:02:39, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0315, loss_cls: 0.1526, acc: 94.3806, loss_bbox: 0.1948, loss_mask: 0.2133, loss: 0.6145 +2022-09-22 23:54:21,873 - mmdet - INFO - Epoch [23][6800/7330] lr: 1.000e-04, eta: 12:02:15, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0282, loss_cls: 0.1500, acc: 94.5935, loss_bbox: 0.1917, loss_mask: 0.2052, loss: 0.5953 +2022-09-22 23:54:43,546 - mmdet - INFO - Epoch [23][6850/7330] lr: 1.000e-04, eta: 12:01:52, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0310, loss_cls: 0.1559, acc: 94.2593, loss_bbox: 0.1985, loss_mask: 0.2105, loss: 0.6183 +2022-09-22 23:55:05,390 - mmdet - INFO - Epoch [23][6900/7330] lr: 1.000e-04, eta: 12:01:29, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0321, loss_cls: 0.1650, acc: 93.9004, loss_bbox: 0.2117, loss_mask: 0.2144, loss: 0.6436 +2022-09-22 23:55:27,250 - mmdet - INFO - Epoch [23][6950/7330] lr: 1.000e-04, eta: 12:01:05, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0313, loss_cls: 0.1591, acc: 94.1357, loss_bbox: 0.2061, loss_mask: 0.2085, loss: 0.6259 +2022-09-22 23:55:49,341 - mmdet - INFO - Epoch [23][7000/7330] lr: 1.000e-04, eta: 12:00:42, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0310, loss_cls: 0.1634, acc: 94.0466, loss_bbox: 0.2075, loss_mask: 0.2190, loss: 0.6422 +2022-09-22 23:56:11,029 - mmdet - INFO - Epoch [23][7050/7330] lr: 1.000e-04, eta: 12:00:19, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0314, loss_cls: 0.1545, acc: 94.3892, loss_bbox: 0.1964, loss_mask: 0.2121, loss: 0.6174 +2022-09-22 23:56:32,428 - mmdet - INFO - Epoch [23][7100/7330] lr: 1.000e-04, eta: 11:59:55, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0309, loss_cls: 0.1557, acc: 94.2734, loss_bbox: 0.1989, loss_mask: 0.2092, loss: 0.6162 +2022-09-22 23:56:54,233 - mmdet - INFO - Epoch [23][7150/7330] lr: 1.000e-04, eta: 11:59:32, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0320, loss_cls: 0.1605, acc: 94.2048, loss_bbox: 0.2051, loss_mask: 0.2096, loss: 0.6305 +2022-09-22 23:57:16,112 - mmdet - INFO - Epoch [23][7200/7330] lr: 1.000e-04, eta: 11:59:09, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0305, loss_cls: 0.1470, acc: 94.5151, loss_bbox: 0.1940, loss_mask: 0.2061, loss: 0.5992 +2022-09-22 23:57:37,742 - mmdet - INFO - Epoch [23][7250/7330] lr: 1.000e-04, eta: 11:58:45, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0297, loss_cls: 0.1543, acc: 94.3252, loss_bbox: 0.1984, loss_mask: 0.2135, loss: 0.6167 +2022-09-22 23:57:59,334 - mmdet - INFO - Epoch [23][7300/7330] lr: 1.000e-04, eta: 11:58:22, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0319, loss_cls: 0.1507, acc: 94.4736, loss_bbox: 0.1882, loss_mask: 0.2106, loss: 0.6062 +2022-09-22 23:58:22,604 - mmdet - INFO - Saving checkpoint at 23 epochs +2022-09-23 00:00:41,249 - mmdet - INFO - Evaluating bbox... +2022-09-23 00:01:08,671 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.489 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.712 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.536 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.331 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.523 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.628 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.613 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.613 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.613 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.450 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.650 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.756 + +2022-09-23 00:01:08,671 - mmdet - INFO - Evaluating segm... +2022-09-23 00:01:38,053 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.437 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.680 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.471 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.252 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.472 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.622 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.387 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.712 + +2022-09-23 00:01:38,579 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 00:01:38,581 - mmdet - INFO - Epoch(val) [23][625] bbox_mAP: 0.4890, bbox_mAP_50: 0.7120, bbox_mAP_75: 0.5360, bbox_mAP_s: 0.3310, bbox_mAP_m: 0.5230, bbox_mAP_l: 0.6280, bbox_mAP_copypaste: 0.489 0.712 0.536 0.331 0.523 0.628, segm_mAP: 0.4370, segm_mAP_50: 0.6800, segm_mAP_75: 0.4710, segm_mAP_s: 0.2520, segm_mAP_m: 0.4720, segm_mAP_l: 0.6220, segm_mAP_copypaste: 0.437 0.680 0.471 0.252 0.472 0.622 +2022-09-23 00:04:23,300 - mmdet - INFO - Epoch [24][50/7330] lr: 1.000e-04, eta: 11:59:37, time: 3.294, data_time: 2.831, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0318, loss_cls: 0.1497, acc: 94.4058, loss_bbox: 0.1992, loss_mask: 0.2073, loss: 0.6082 +2022-09-23 00:04:45,964 - mmdet - INFO - Epoch [24][100/7330] lr: 1.000e-04, eta: 11:59:14, time: 0.453, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0321, loss_cls: 0.1561, acc: 94.3528, loss_bbox: 0.2003, loss_mask: 0.2114, loss: 0.6226 +2022-09-23 00:05:08,612 - mmdet - INFO - Epoch [24][150/7330] lr: 1.000e-04, eta: 11:58:51, time: 0.453, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0302, loss_cls: 0.1542, acc: 94.2581, loss_bbox: 0.2003, loss_mask: 0.2080, loss: 0.6125 +2022-09-23 00:05:31,239 - mmdet - INFO - Epoch [24][200/7330] lr: 1.000e-04, eta: 11:58:29, time: 0.453, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0321, loss_cls: 0.1653, acc: 93.8608, loss_bbox: 0.2115, loss_mask: 0.2104, loss: 0.6401 +2022-09-23 00:05:53,915 - mmdet - INFO - Epoch [24][250/7330] lr: 1.000e-04, eta: 11:58:06, time: 0.452, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0283, loss_cls: 0.1459, acc: 94.6360, loss_bbox: 0.1922, loss_mask: 0.2077, loss: 0.5931 +2022-09-23 00:06:17,026 - mmdet - INFO - Epoch [24][300/7330] lr: 1.000e-04, eta: 11:57:44, time: 0.463, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0323, loss_cls: 0.1584, acc: 94.0676, loss_bbox: 0.2092, loss_mask: 0.2139, loss: 0.6345 +2022-09-23 00:06:39,620 - mmdet - INFO - Epoch [24][350/7330] lr: 1.000e-04, eta: 11:57:21, time: 0.452, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0313, loss_cls: 0.1584, acc: 94.1865, loss_bbox: 0.2046, loss_mask: 0.2122, loss: 0.6269 +2022-09-23 00:07:01,999 - mmdet - INFO - Epoch [24][400/7330] lr: 1.000e-04, eta: 11:56:58, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0319, loss_cls: 0.1517, acc: 94.4214, loss_bbox: 0.1981, loss_mask: 0.2082, loss: 0.6114 +2022-09-23 00:07:24,205 - mmdet - INFO - Epoch [24][450/7330] lr: 1.000e-04, eta: 11:56:35, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0311, loss_cls: 0.1616, acc: 94.1206, loss_bbox: 0.2025, loss_mask: 0.2114, loss: 0.6284 +2022-09-23 00:07:46,088 - mmdet - INFO - Epoch [24][500/7330] lr: 1.000e-04, eta: 11:56:12, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0303, loss_cls: 0.1525, acc: 94.3054, loss_bbox: 0.2025, loss_mask: 0.2069, loss: 0.6116 +2022-09-23 00:08:08,251 - mmdet - INFO - Epoch [24][550/7330] lr: 1.000e-04, eta: 11:55:49, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0294, loss_cls: 0.1523, acc: 94.4834, loss_bbox: 0.1945, loss_mask: 0.2073, loss: 0.6042 +2022-09-23 00:08:30,641 - mmdet - INFO - Epoch [24][600/7330] lr: 1.000e-04, eta: 11:55:26, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0299, loss_cls: 0.1563, acc: 94.2166, loss_bbox: 0.1986, loss_mask: 0.2078, loss: 0.6128 +2022-09-23 00:08:52,426 - mmdet - INFO - Epoch [24][650/7330] lr: 1.000e-04, eta: 11:55:02, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0302, loss_cls: 0.1525, acc: 94.4668, loss_bbox: 0.1997, loss_mask: 0.2068, loss: 0.6100 +2022-09-23 00:09:14,756 - mmdet - INFO - Epoch [24][700/7330] lr: 1.000e-04, eta: 11:54:39, time: 0.447, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0304, loss_cls: 0.1536, acc: 94.3748, loss_bbox: 0.1985, loss_mask: 0.2121, loss: 0.6157 +2022-09-23 00:09:37,412 - mmdet - INFO - Epoch [24][750/7330] lr: 1.000e-04, eta: 11:54:17, time: 0.452, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0316, loss_cls: 0.1623, acc: 94.0862, loss_bbox: 0.2046, loss_mask: 0.2112, loss: 0.6314 +2022-09-23 00:09:59,506 - mmdet - INFO - Epoch [24][800/7330] lr: 1.000e-04, eta: 11:53:53, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0309, loss_cls: 0.1566, acc: 94.1570, loss_bbox: 0.2006, loss_mask: 0.2088, loss: 0.6177 +2022-09-23 00:10:22,210 - mmdet - INFO - Epoch [24][850/7330] lr: 1.000e-04, eta: 11:53:31, time: 0.455, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0300, loss_cls: 0.1555, acc: 94.2375, loss_bbox: 0.2003, loss_mask: 0.2085, loss: 0.6125 +2022-09-23 00:10:44,102 - mmdet - INFO - Epoch [24][900/7330] lr: 1.000e-04, eta: 11:53:08, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0296, loss_cls: 0.1539, acc: 94.2197, loss_bbox: 0.2025, loss_mask: 0.2095, loss: 0.6172 +2022-09-23 00:11:06,743 - mmdet - INFO - Epoch [24][950/7330] lr: 1.000e-04, eta: 11:52:45, time: 0.453, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0305, loss_cls: 0.1581, acc: 94.1450, loss_bbox: 0.2051, loss_mask: 0.2149, loss: 0.6291 +2022-09-23 00:11:28,444 - mmdet - INFO - Epoch [24][1000/7330] lr: 1.000e-04, eta: 11:52:21, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0284, loss_cls: 0.1456, acc: 94.6790, loss_bbox: 0.1900, loss_mask: 0.2048, loss: 0.5889 +2022-09-23 00:11:50,421 - mmdet - INFO - Epoch [24][1050/7330] lr: 1.000e-04, eta: 11:51:58, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0287, loss_cls: 0.1487, acc: 94.4966, loss_bbox: 0.1977, loss_mask: 0.2007, loss: 0.5952 +2022-09-23 00:12:11,916 - mmdet - INFO - Epoch [24][1100/7330] lr: 1.000e-04, eta: 11:51:34, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0265, loss_cls: 0.1455, acc: 94.6960, loss_bbox: 0.1850, loss_mask: 0.2036, loss: 0.5792 +2022-09-23 00:12:33,942 - mmdet - INFO - Epoch [24][1150/7330] lr: 1.000e-04, eta: 11:51:11, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0307, loss_cls: 0.1535, acc: 94.3027, loss_bbox: 0.1984, loss_mask: 0.2052, loss: 0.6104 +2022-09-23 00:12:56,128 - mmdet - INFO - Epoch [24][1200/7330] lr: 1.000e-04, eta: 11:50:48, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0292, loss_cls: 0.1500, acc: 94.5110, loss_bbox: 0.1914, loss_mask: 0.2090, loss: 0.6000 +2022-09-23 00:13:18,088 - mmdet - INFO - Epoch [24][1250/7330] lr: 1.000e-04, eta: 11:50:25, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0316, loss_cls: 0.1583, acc: 94.1309, loss_bbox: 0.2072, loss_mask: 0.2139, loss: 0.6338 +2022-09-23 00:13:39,965 - mmdet - INFO - Epoch [24][1300/7330] lr: 1.000e-04, eta: 11:50:02, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0304, loss_cls: 0.1557, acc: 94.2295, loss_bbox: 0.2043, loss_mask: 0.2143, loss: 0.6239 +2022-09-23 00:14:02,002 - mmdet - INFO - Epoch [24][1350/7330] lr: 1.000e-04, eta: 11:49:38, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0325, loss_cls: 0.1499, acc: 94.4702, loss_bbox: 0.1964, loss_mask: 0.2075, loss: 0.6064 +2022-09-23 00:14:24,158 - mmdet - INFO - Epoch [24][1400/7330] lr: 1.000e-04, eta: 11:49:15, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0297, loss_cls: 0.1593, acc: 94.1501, loss_bbox: 0.1994, loss_mask: 0.2108, loss: 0.6203 +2022-09-23 00:14:46,390 - mmdet - INFO - Epoch [24][1450/7330] lr: 1.000e-04, eta: 11:48:52, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0296, loss_cls: 0.1513, acc: 94.4363, loss_bbox: 0.1970, loss_mask: 0.2090, loss: 0.6078 +2022-09-23 00:15:08,576 - mmdet - INFO - Epoch [24][1500/7330] lr: 1.000e-04, eta: 11:48:29, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0327, loss_cls: 0.1627, acc: 94.0549, loss_bbox: 0.2038, loss_mask: 0.2092, loss: 0.6324 +2022-09-23 00:15:30,293 - mmdet - INFO - Epoch [24][1550/7330] lr: 1.000e-04, eta: 11:48:06, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0306, loss_cls: 0.1535, acc: 94.3916, loss_bbox: 0.1965, loss_mask: 0.2082, loss: 0.6094 +2022-09-23 00:15:52,387 - mmdet - INFO - Epoch [24][1600/7330] lr: 1.000e-04, eta: 11:47:43, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0315, loss_cls: 0.1462, acc: 94.6301, loss_bbox: 0.1917, loss_mask: 0.2063, loss: 0.5981 +2022-09-23 00:16:14,126 - mmdet - INFO - Epoch [24][1650/7330] lr: 1.000e-04, eta: 11:47:19, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0273, loss_cls: 0.1458, acc: 94.5566, loss_bbox: 0.1931, loss_mask: 0.2085, loss: 0.5939 +2022-09-23 00:16:35,907 - mmdet - INFO - Epoch [24][1700/7330] lr: 1.000e-04, eta: 11:46:56, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0318, loss_cls: 0.1586, acc: 94.1917, loss_bbox: 0.2012, loss_mask: 0.2139, loss: 0.6283 +2022-09-23 00:16:57,456 - mmdet - INFO - Epoch [24][1750/7330] lr: 1.000e-04, eta: 11:46:32, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0296, loss_cls: 0.1545, acc: 94.3462, loss_bbox: 0.1974, loss_mask: 0.2069, loss: 0.6072 +2022-09-23 00:17:19,798 - mmdet - INFO - Epoch [24][1800/7330] lr: 1.000e-04, eta: 11:46:09, time: 0.447, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0313, loss_cls: 0.1633, acc: 94.0981, loss_bbox: 0.2068, loss_mask: 0.2148, loss: 0.6370 +2022-09-23 00:17:41,501 - mmdet - INFO - Epoch [24][1850/7330] lr: 1.000e-04, eta: 11:45:46, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0290, loss_cls: 0.1493, acc: 94.4775, loss_bbox: 0.1947, loss_mask: 0.2083, loss: 0.6019 +2022-09-23 00:18:03,811 - mmdet - INFO - Epoch [24][1900/7330] lr: 1.000e-04, eta: 11:45:23, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0338, loss_cls: 0.1619, acc: 94.1309, loss_bbox: 0.2034, loss_mask: 0.2147, loss: 0.6358 +2022-09-23 00:18:25,998 - mmdet - INFO - Epoch [24][1950/7330] lr: 1.000e-04, eta: 11:45:00, time: 0.444, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0313, loss_cls: 0.1521, acc: 94.4692, loss_bbox: 0.1975, loss_mask: 0.2103, loss: 0.6142 +2022-09-23 00:18:47,871 - mmdet - INFO - Epoch [24][2000/7330] lr: 1.000e-04, eta: 11:44:36, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0308, loss_cls: 0.1595, acc: 94.0908, loss_bbox: 0.2026, loss_mask: 0.2160, loss: 0.6306 +2022-09-23 00:19:10,001 - mmdet - INFO - Epoch [24][2050/7330] lr: 1.000e-04, eta: 11:44:13, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0311, loss_cls: 0.1560, acc: 94.1833, loss_bbox: 0.2008, loss_mask: 0.2117, loss: 0.6223 +2022-09-23 00:19:31,831 - mmdet - INFO - Epoch [24][2100/7330] lr: 1.000e-04, eta: 11:43:50, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0320, loss_cls: 0.1609, acc: 94.1414, loss_bbox: 0.2010, loss_mask: 0.2121, loss: 0.6281 +2022-09-23 00:19:54,290 - mmdet - INFO - Epoch [24][2150/7330] lr: 1.000e-04, eta: 11:43:27, time: 0.449, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0301, loss_cls: 0.1542, acc: 94.4197, loss_bbox: 0.1943, loss_mask: 0.2044, loss: 0.6045 +2022-09-23 00:20:15,845 - mmdet - INFO - Epoch [24][2200/7330] lr: 1.000e-04, eta: 11:43:04, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0334, loss_cls: 0.1701, acc: 93.8728, loss_bbox: 0.2141, loss_mask: 0.2164, loss: 0.6580 +2022-09-23 00:20:38,270 - mmdet - INFO - Epoch [24][2250/7330] lr: 1.000e-04, eta: 11:42:41, time: 0.448, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0329, loss_cls: 0.1702, acc: 93.7024, loss_bbox: 0.2182, loss_mask: 0.2132, loss: 0.6570 +2022-09-23 00:21:01,164 - mmdet - INFO - Epoch [24][2300/7330] lr: 1.000e-04, eta: 11:42:18, time: 0.459, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0304, loss_cls: 0.1529, acc: 94.3550, loss_bbox: 0.1947, loss_mask: 0.2029, loss: 0.6009 +2022-09-23 00:21:22,914 - mmdet - INFO - Epoch [24][2350/7330] lr: 1.000e-04, eta: 11:41:55, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0297, loss_cls: 0.1544, acc: 94.3318, loss_bbox: 0.2015, loss_mask: 0.2110, loss: 0.6167 +2022-09-23 00:21:44,724 - mmdet - INFO - Epoch [24][2400/7330] lr: 1.000e-04, eta: 11:41:32, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0308, loss_cls: 0.1592, acc: 94.1953, loss_bbox: 0.2039, loss_mask: 0.2099, loss: 0.6251 +2022-09-23 00:22:06,411 - mmdet - INFO - Epoch [24][2450/7330] lr: 1.000e-04, eta: 11:41:08, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0291, loss_cls: 0.1520, acc: 94.3032, loss_bbox: 0.1963, loss_mask: 0.2081, loss: 0.6057 +2022-09-23 00:22:28,368 - mmdet - INFO - Epoch [24][2500/7330] lr: 1.000e-04, eta: 11:40:45, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0302, loss_cls: 0.1509, acc: 94.3594, loss_bbox: 0.1930, loss_mask: 0.2039, loss: 0.5966 +2022-09-23 00:22:50,843 - mmdet - INFO - Epoch [24][2550/7330] lr: 1.000e-04, eta: 11:40:22, time: 0.450, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0285, loss_cls: 0.1505, acc: 94.5547, loss_bbox: 0.1938, loss_mask: 0.2049, loss: 0.5956 +2022-09-23 00:23:12,388 - mmdet - INFO - Epoch [24][2600/7330] lr: 1.000e-04, eta: 11:39:58, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0305, loss_cls: 0.1540, acc: 94.4504, loss_bbox: 0.1953, loss_mask: 0.2066, loss: 0.6062 +2022-09-23 00:23:34,137 - mmdet - INFO - Epoch [24][2650/7330] lr: 1.000e-04, eta: 11:39:35, time: 0.435, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0282, loss_cls: 0.1468, acc: 94.6475, loss_bbox: 0.1894, loss_mask: 0.2025, loss: 0.5860 +2022-09-23 00:23:55,990 - mmdet - INFO - Epoch [24][2700/7330] lr: 1.000e-04, eta: 11:39:12, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0315, loss_cls: 0.1604, acc: 94.1680, loss_bbox: 0.2033, loss_mask: 0.2122, loss: 0.6288 +2022-09-23 00:24:17,871 - mmdet - INFO - Epoch [24][2750/7330] lr: 1.000e-04, eta: 11:38:48, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0308, loss_cls: 0.1502, acc: 94.4702, loss_bbox: 0.1970, loss_mask: 0.2079, loss: 0.6070 +2022-09-23 00:24:39,721 - mmdet - INFO - Epoch [24][2800/7330] lr: 1.000e-04, eta: 11:38:25, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0290, loss_cls: 0.1540, acc: 94.4016, loss_bbox: 0.1950, loss_mask: 0.2076, loss: 0.6057 +2022-09-23 00:25:01,072 - mmdet - INFO - Epoch [24][2850/7330] lr: 1.000e-04, eta: 11:38:01, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0265, loss_cls: 0.1451, acc: 94.7078, loss_bbox: 0.1842, loss_mask: 0.1975, loss: 0.5721 +2022-09-23 00:25:23,046 - mmdet - INFO - Epoch [24][2900/7330] lr: 1.000e-04, eta: 11:37:38, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0304, loss_cls: 0.1450, acc: 94.6377, loss_bbox: 0.1905, loss_mask: 0.2041, loss: 0.5918 +2022-09-23 00:25:44,453 - mmdet - INFO - Epoch [24][2950/7330] lr: 1.000e-04, eta: 11:37:15, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0273, loss_cls: 0.1468, acc: 94.6418, loss_bbox: 0.1878, loss_mask: 0.2092, loss: 0.5895 +2022-09-23 00:26:06,138 - mmdet - INFO - Epoch [24][3000/7330] lr: 1.000e-04, eta: 11:36:51, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0277, loss_cls: 0.1509, acc: 94.5691, loss_bbox: 0.1907, loss_mask: 0.2080, loss: 0.5973 +2022-09-23 00:26:28,194 - mmdet - INFO - Epoch [24][3050/7330] lr: 1.000e-04, eta: 11:36:28, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0315, loss_cls: 0.1587, acc: 94.0532, loss_bbox: 0.2012, loss_mask: 0.2101, loss: 0.6226 +2022-09-23 00:26:50,025 - mmdet - INFO - Epoch [24][3100/7330] lr: 1.000e-04, eta: 11:36:05, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0313, loss_cls: 0.1533, acc: 94.3259, loss_bbox: 0.1975, loss_mask: 0.2108, loss: 0.6129 +2022-09-23 00:27:11,923 - mmdet - INFO - Epoch [24][3150/7330] lr: 1.000e-04, eta: 11:35:41, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0305, loss_cls: 0.1491, acc: 94.4893, loss_bbox: 0.1897, loss_mask: 0.2033, loss: 0.5935 +2022-09-23 00:27:33,798 - mmdet - INFO - Epoch [24][3200/7330] lr: 1.000e-04, eta: 11:35:18, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0299, loss_cls: 0.1543, acc: 94.3164, loss_bbox: 0.1954, loss_mask: 0.2080, loss: 0.6077 +2022-09-23 00:27:56,020 - mmdet - INFO - Epoch [24][3250/7330] lr: 1.000e-04, eta: 11:34:55, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0309, loss_cls: 0.1553, acc: 94.3040, loss_bbox: 0.2014, loss_mask: 0.2136, loss: 0.6203 +2022-09-23 00:28:17,705 - mmdet - INFO - Epoch [24][3300/7330] lr: 1.000e-04, eta: 11:34:32, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0275, loss_cls: 0.1476, acc: 94.5776, loss_bbox: 0.1912, loss_mask: 0.2046, loss: 0.5889 +2022-09-23 00:28:39,983 - mmdet - INFO - Epoch [24][3350/7330] lr: 1.000e-04, eta: 11:34:09, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0307, loss_cls: 0.1611, acc: 94.1064, loss_bbox: 0.2046, loss_mask: 0.2131, loss: 0.6311 +2022-09-23 00:29:01,259 - mmdet - INFO - Epoch [24][3400/7330] lr: 1.000e-04, eta: 11:33:45, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0282, loss_cls: 0.1509, acc: 94.4514, loss_bbox: 0.1895, loss_mask: 0.2070, loss: 0.5959 +2022-09-23 00:29:23,510 - mmdet - INFO - Epoch [24][3450/7330] lr: 1.000e-04, eta: 11:33:22, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0301, loss_cls: 0.1498, acc: 94.5952, loss_bbox: 0.1948, loss_mask: 0.2034, loss: 0.5988 +2022-09-23 00:29:45,711 - mmdet - INFO - Epoch [24][3500/7330] lr: 1.000e-04, eta: 11:32:59, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0311, loss_cls: 0.1536, acc: 94.4026, loss_bbox: 0.1981, loss_mask: 0.2103, loss: 0.6135 +2022-09-23 00:30:07,377 - mmdet - INFO - Epoch [24][3550/7330] lr: 1.000e-04, eta: 11:32:36, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0290, loss_cls: 0.1552, acc: 94.2598, loss_bbox: 0.2004, loss_mask: 0.2116, loss: 0.6170 +2022-09-23 00:30:29,003 - mmdet - INFO - Epoch [24][3600/7330] lr: 1.000e-04, eta: 11:32:12, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0311, loss_cls: 0.1565, acc: 94.2153, loss_bbox: 0.2017, loss_mask: 0.2138, loss: 0.6246 +2022-09-23 00:30:50,215 - mmdet - INFO - Epoch [24][3650/7330] lr: 1.000e-04, eta: 11:31:48, time: 0.424, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0302, loss_cls: 0.1603, acc: 94.2524, loss_bbox: 0.1986, loss_mask: 0.2044, loss: 0.6139 +2022-09-23 00:31:11,593 - mmdet - INFO - Epoch [24][3700/7330] lr: 1.000e-04, eta: 11:31:25, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0324, loss_cls: 0.1618, acc: 94.0632, loss_bbox: 0.2083, loss_mask: 0.2165, loss: 0.6408 +2022-09-23 00:31:33,371 - mmdet - INFO - Epoch [24][3750/7330] lr: 1.000e-04, eta: 11:31:01, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0293, loss_cls: 0.1536, acc: 94.4287, loss_bbox: 0.1972, loss_mask: 0.2111, loss: 0.6113 +2022-09-23 00:31:55,581 - mmdet - INFO - Epoch [24][3800/7330] lr: 1.000e-04, eta: 11:30:38, time: 0.445, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1588, acc: 94.1211, loss_bbox: 0.2024, loss_mask: 0.2138, loss: 0.6282 +2022-09-23 00:32:17,697 - mmdet - INFO - Epoch [24][3850/7330] lr: 1.000e-04, eta: 11:30:15, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0297, loss_cls: 0.1548, acc: 94.2673, loss_bbox: 0.1989, loss_mask: 0.2145, loss: 0.6190 +2022-09-23 00:32:39,421 - mmdet - INFO - Epoch [24][3900/7330] lr: 1.000e-04, eta: 11:29:52, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0301, loss_cls: 0.1534, acc: 94.3259, loss_bbox: 0.1975, loss_mask: 0.2173, loss: 0.6198 +2022-09-23 00:33:00,839 - mmdet - INFO - Epoch [24][3950/7330] lr: 1.000e-04, eta: 11:29:28, time: 0.428, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0284, loss_cls: 0.1517, acc: 94.4553, loss_bbox: 0.1956, loss_mask: 0.2084, loss: 0.6061 +2022-09-23 00:33:23,095 - mmdet - INFO - Epoch [24][4000/7330] lr: 1.000e-04, eta: 11:29:05, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0299, loss_cls: 0.1636, acc: 94.1418, loss_bbox: 0.2018, loss_mask: 0.2082, loss: 0.6241 +2022-09-23 00:33:44,709 - mmdet - INFO - Epoch [24][4050/7330] lr: 1.000e-04, eta: 11:28:42, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0291, loss_cls: 0.1527, acc: 94.3723, loss_bbox: 0.1954, loss_mask: 0.2121, loss: 0.6092 +2022-09-23 00:34:06,662 - mmdet - INFO - Epoch [24][4100/7330] lr: 1.000e-04, eta: 11:28:18, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0294, loss_cls: 0.1580, acc: 94.1831, loss_bbox: 0.1991, loss_mask: 0.2124, loss: 0.6190 +2022-09-23 00:34:28,440 - mmdet - INFO - Epoch [24][4150/7330] lr: 1.000e-04, eta: 11:27:55, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0308, loss_cls: 0.1641, acc: 93.9573, loss_bbox: 0.2056, loss_mask: 0.2161, loss: 0.6367 +2022-09-23 00:34:50,207 - mmdet - INFO - Epoch [24][4200/7330] lr: 1.000e-04, eta: 11:27:32, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0310, loss_cls: 0.1530, acc: 94.4150, loss_bbox: 0.1949, loss_mask: 0.2070, loss: 0.6072 +2022-09-23 00:35:11,843 - mmdet - INFO - Epoch [24][4250/7330] lr: 1.000e-04, eta: 11:27:08, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0323, loss_cls: 0.1558, acc: 94.1609, loss_bbox: 0.2028, loss_mask: 0.2115, loss: 0.6233 +2022-09-23 00:35:33,471 - mmdet - INFO - Epoch [24][4300/7330] lr: 1.000e-04, eta: 11:26:45, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0300, loss_cls: 0.1603, acc: 94.0315, loss_bbox: 0.2021, loss_mask: 0.2094, loss: 0.6223 +2022-09-23 00:35:54,994 - mmdet - INFO - Epoch [24][4350/7330] lr: 1.000e-04, eta: 11:26:21, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0302, loss_cls: 0.1532, acc: 94.4790, loss_bbox: 0.1971, loss_mask: 0.2086, loss: 0.6112 +2022-09-23 00:36:16,945 - mmdet - INFO - Epoch [24][4400/7330] lr: 1.000e-04, eta: 11:25:58, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0300, loss_cls: 0.1567, acc: 94.2004, loss_bbox: 0.2013, loss_mask: 0.2114, loss: 0.6195 +2022-09-23 00:36:38,664 - mmdet - INFO - Epoch [24][4450/7330] lr: 1.000e-04, eta: 11:25:35, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0307, loss_cls: 0.1575, acc: 94.1960, loss_bbox: 0.2060, loss_mask: 0.2155, loss: 0.6304 +2022-09-23 00:37:00,202 - mmdet - INFO - Epoch [24][4500/7330] lr: 1.000e-04, eta: 11:25:11, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0312, loss_cls: 0.1608, acc: 94.0801, loss_bbox: 0.2125, loss_mask: 0.2157, loss: 0.6422 +2022-09-23 00:37:22,411 - mmdet - INFO - Epoch [24][4550/7330] lr: 1.000e-04, eta: 11:24:48, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0324, loss_cls: 0.1621, acc: 94.1270, loss_bbox: 0.2073, loss_mask: 0.2135, loss: 0.6366 +2022-09-23 00:37:44,092 - mmdet - INFO - Epoch [24][4600/7330] lr: 1.000e-04, eta: 11:24:25, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0334, loss_cls: 0.1646, acc: 93.9673, loss_bbox: 0.2037, loss_mask: 0.2151, loss: 0.6400 +2022-09-23 00:38:05,784 - mmdet - INFO - Epoch [24][4650/7330] lr: 1.000e-04, eta: 11:24:02, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0297, loss_cls: 0.1546, acc: 94.3206, loss_bbox: 0.1978, loss_mask: 0.2087, loss: 0.6110 +2022-09-23 00:38:27,361 - mmdet - INFO - Epoch [24][4700/7330] lr: 1.000e-04, eta: 11:23:38, time: 0.431, data_time: 0.012, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0308, loss_cls: 0.1532, acc: 94.3672, loss_bbox: 0.1996, loss_mask: 0.2059, loss: 0.6099 +2022-09-23 00:38:49,044 - mmdet - INFO - Epoch [24][4750/7330] lr: 1.000e-04, eta: 11:23:15, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0316, loss_cls: 0.1539, acc: 94.4292, loss_bbox: 0.2016, loss_mask: 0.2128, loss: 0.6226 +2022-09-23 00:39:10,553 - mmdet - INFO - Epoch [24][4800/7330] lr: 1.000e-04, eta: 11:22:51, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0291, loss_cls: 0.1502, acc: 94.4753, loss_bbox: 0.1942, loss_mask: 0.2083, loss: 0.6029 +2022-09-23 00:39:32,251 - mmdet - INFO - Epoch [24][4850/7330] lr: 1.000e-04, eta: 11:22:28, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0310, loss_cls: 0.1581, acc: 94.2720, loss_bbox: 0.2003, loss_mask: 0.2124, loss: 0.6247 +2022-09-23 00:39:54,196 - mmdet - INFO - Epoch [24][4900/7330] lr: 1.000e-04, eta: 11:22:05, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0318, loss_cls: 0.1600, acc: 94.1543, loss_bbox: 0.2040, loss_mask: 0.2116, loss: 0.6306 +2022-09-23 00:40:16,343 - mmdet - INFO - Epoch [24][4950/7330] lr: 1.000e-04, eta: 11:21:42, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0298, loss_cls: 0.1445, acc: 94.6685, loss_bbox: 0.1913, loss_mask: 0.2067, loss: 0.5933 +2022-09-23 00:40:38,080 - mmdet - INFO - Epoch [24][5000/7330] lr: 1.000e-04, eta: 11:21:18, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0297, loss_cls: 0.1489, acc: 94.4463, loss_bbox: 0.1931, loss_mask: 0.2128, loss: 0.6069 +2022-09-23 00:40:59,677 - mmdet - INFO - Epoch [24][5050/7330] lr: 1.000e-04, eta: 11:20:55, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0305, loss_cls: 0.1534, acc: 94.4785, loss_bbox: 0.1932, loss_mask: 0.2056, loss: 0.6044 +2022-09-23 00:41:21,544 - mmdet - INFO - Epoch [24][5100/7330] lr: 1.000e-04, eta: 11:20:31, time: 0.437, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0286, loss_cls: 0.1497, acc: 94.5400, loss_bbox: 0.1891, loss_mask: 0.2042, loss: 0.5925 +2022-09-23 00:41:43,322 - mmdet - INFO - Epoch [24][5150/7330] lr: 1.000e-04, eta: 11:20:08, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0298, loss_cls: 0.1521, acc: 94.4849, loss_bbox: 0.1932, loss_mask: 0.2080, loss: 0.6033 +2022-09-23 00:42:05,179 - mmdet - INFO - Epoch [24][5200/7330] lr: 1.000e-04, eta: 11:19:45, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0299, loss_cls: 0.1549, acc: 94.3784, loss_bbox: 0.1967, loss_mask: 0.2149, loss: 0.6170 +2022-09-23 00:42:27,090 - mmdet - INFO - Epoch [24][5250/7330] lr: 1.000e-04, eta: 11:19:22, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0306, loss_cls: 0.1517, acc: 94.3860, loss_bbox: 0.1927, loss_mask: 0.2023, loss: 0.5985 +2022-09-23 00:42:48,758 - mmdet - INFO - Epoch [24][5300/7330] lr: 1.000e-04, eta: 11:18:58, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0298, loss_cls: 0.1575, acc: 94.3130, loss_bbox: 0.1956, loss_mask: 0.2079, loss: 0.6125 +2022-09-23 00:43:11,360 - mmdet - INFO - Epoch [24][5350/7330] lr: 1.000e-04, eta: 11:18:36, time: 0.452, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0314, loss_cls: 0.1585, acc: 94.1858, loss_bbox: 0.2018, loss_mask: 0.2149, loss: 0.6281 +2022-09-23 00:43:33,150 - mmdet - INFO - Epoch [24][5400/7330] lr: 1.000e-04, eta: 11:18:12, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0301, loss_cls: 0.1595, acc: 94.1545, loss_bbox: 0.2064, loss_mask: 0.2144, loss: 0.6309 +2022-09-23 00:43:55,773 - mmdet - INFO - Epoch [24][5450/7330] lr: 1.000e-04, eta: 11:17:50, time: 0.454, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0310, loss_cls: 0.1528, acc: 94.4814, loss_bbox: 0.1966, loss_mask: 0.2096, loss: 0.6109 +2022-09-23 00:44:17,487 - mmdet - INFO - Epoch [24][5500/7330] lr: 1.000e-04, eta: 11:17:26, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0319, loss_cls: 0.1583, acc: 94.1726, loss_bbox: 0.2071, loss_mask: 0.2143, loss: 0.6334 +2022-09-23 00:44:39,476 - mmdet - INFO - Epoch [24][5550/7330] lr: 1.000e-04, eta: 11:17:03, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0294, loss_cls: 0.1599, acc: 94.1892, loss_bbox: 0.2004, loss_mask: 0.2066, loss: 0.6159 +2022-09-23 00:45:01,128 - mmdet - INFO - Epoch [24][5600/7330] lr: 1.000e-04, eta: 11:16:40, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0300, loss_cls: 0.1610, acc: 94.2112, loss_bbox: 0.2002, loss_mask: 0.2176, loss: 0.6300 +2022-09-23 00:45:22,699 - mmdet - INFO - Epoch [24][5650/7330] lr: 1.000e-04, eta: 11:16:16, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0313, loss_cls: 0.1612, acc: 94.0354, loss_bbox: 0.2084, loss_mask: 0.2148, loss: 0.6377 +2022-09-23 00:45:44,260 - mmdet - INFO - Epoch [24][5700/7330] lr: 1.000e-04, eta: 11:15:53, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0294, loss_cls: 0.1528, acc: 94.4111, loss_bbox: 0.1996, loss_mask: 0.2108, loss: 0.6133 +2022-09-23 00:46:06,002 - mmdet - INFO - Epoch [24][5750/7330] lr: 1.000e-04, eta: 11:15:30, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0297, loss_cls: 0.1563, acc: 94.3208, loss_bbox: 0.2039, loss_mask: 0.2084, loss: 0.6186 +2022-09-23 00:46:28,058 - mmdet - INFO - Epoch [24][5800/7330] lr: 1.000e-04, eta: 11:15:07, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0324, loss_cls: 0.1578, acc: 94.2791, loss_bbox: 0.1995, loss_mask: 0.2080, loss: 0.6193 +2022-09-23 00:46:50,118 - mmdet - INFO - Epoch [24][5850/7330] lr: 1.000e-04, eta: 11:14:43, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0322, loss_cls: 0.1588, acc: 94.1821, loss_bbox: 0.2049, loss_mask: 0.2144, loss: 0.6322 +2022-09-23 00:47:11,669 - mmdet - INFO - Epoch [24][5900/7330] lr: 1.000e-04, eta: 11:14:20, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0313, loss_cls: 0.1595, acc: 94.1379, loss_bbox: 0.2047, loss_mask: 0.2115, loss: 0.6280 +2022-09-23 00:47:33,839 - mmdet - INFO - Epoch [24][5950/7330] lr: 1.000e-04, eta: 11:13:57, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0323, loss_cls: 0.1650, acc: 94.0286, loss_bbox: 0.2046, loss_mask: 0.2168, loss: 0.6407 +2022-09-23 00:47:55,815 - mmdet - INFO - Epoch [24][6000/7330] lr: 1.000e-04, eta: 11:13:34, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0315, loss_cls: 0.1586, acc: 94.2329, loss_bbox: 0.2021, loss_mask: 0.2093, loss: 0.6246 +2022-09-23 00:48:18,130 - mmdet - INFO - Epoch [24][6050/7330] lr: 1.000e-04, eta: 11:13:11, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0303, loss_cls: 0.1551, acc: 94.3928, loss_bbox: 0.1955, loss_mask: 0.2126, loss: 0.6164 +2022-09-23 00:48:39,694 - mmdet - INFO - Epoch [24][6100/7330] lr: 1.000e-04, eta: 11:12:48, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0294, loss_cls: 0.1481, acc: 94.4688, loss_bbox: 0.1909, loss_mask: 0.2084, loss: 0.5987 +2022-09-23 00:49:01,955 - mmdet - INFO - Epoch [24][6150/7330] lr: 1.000e-04, eta: 11:12:25, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0293, loss_cls: 0.1523, acc: 94.3660, loss_bbox: 0.2000, loss_mask: 0.2089, loss: 0.6106 +2022-09-23 00:49:23,777 - mmdet - INFO - Epoch [24][6200/7330] lr: 1.000e-04, eta: 11:12:01, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0302, loss_cls: 0.1594, acc: 94.2168, loss_bbox: 0.1999, loss_mask: 0.2076, loss: 0.6192 +2022-09-23 00:49:45,579 - mmdet - INFO - Epoch [24][6250/7330] lr: 1.000e-04, eta: 11:11:38, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0308, loss_cls: 0.1559, acc: 94.2542, loss_bbox: 0.2023, loss_mask: 0.2059, loss: 0.6171 +2022-09-23 00:50:07,672 - mmdet - INFO - Epoch [24][6300/7330] lr: 1.000e-04, eta: 11:11:15, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0295, loss_cls: 0.1546, acc: 94.4614, loss_bbox: 0.1949, loss_mask: 0.2115, loss: 0.6119 +2022-09-23 00:50:29,440 - mmdet - INFO - Epoch [24][6350/7330] lr: 1.000e-04, eta: 11:10:52, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0313, loss_cls: 0.1623, acc: 94.1370, loss_bbox: 0.2032, loss_mask: 0.2161, loss: 0.6352 +2022-09-23 00:50:51,255 - mmdet - INFO - Epoch [24][6400/7330] lr: 1.000e-04, eta: 11:10:29, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0325, loss_cls: 0.1611, acc: 94.0625, loss_bbox: 0.2046, loss_mask: 0.2168, loss: 0.6392 +2022-09-23 00:51:13,932 - mmdet - INFO - Epoch [24][6450/7330] lr: 1.000e-04, eta: 11:10:06, time: 0.454, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0327, loss_cls: 0.1589, acc: 94.2178, loss_bbox: 0.2036, loss_mask: 0.2149, loss: 0.6328 +2022-09-23 00:51:35,981 - mmdet - INFO - Epoch [24][6500/7330] lr: 1.000e-04, eta: 11:09:43, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0320, loss_cls: 0.1671, acc: 93.9158, loss_bbox: 0.2094, loss_mask: 0.2128, loss: 0.6450 +2022-09-23 00:51:57,600 - mmdet - INFO - Epoch [24][6550/7330] lr: 1.000e-04, eta: 11:09:19, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0318, loss_cls: 0.1638, acc: 94.0171, loss_bbox: 0.2064, loss_mask: 0.2181, loss: 0.6450 +2022-09-23 00:52:19,539 - mmdet - INFO - Epoch [24][6600/7330] lr: 1.000e-04, eta: 11:08:56, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0308, loss_cls: 0.1608, acc: 94.0564, loss_bbox: 0.2063, loss_mask: 0.2147, loss: 0.6340 +2022-09-23 00:52:41,858 - mmdet - INFO - Epoch [24][6650/7330] lr: 1.000e-04, eta: 11:08:33, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0301, loss_cls: 0.1577, acc: 94.2021, loss_bbox: 0.1987, loss_mask: 0.2098, loss: 0.6167 +2022-09-23 00:53:03,928 - mmdet - INFO - Epoch [24][6700/7330] lr: 1.000e-04, eta: 11:08:10, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0312, loss_cls: 0.1567, acc: 94.2422, loss_bbox: 0.1989, loss_mask: 0.2115, loss: 0.6191 +2022-09-23 00:53:25,762 - mmdet - INFO - Epoch [24][6750/7330] lr: 1.000e-04, eta: 11:07:47, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0308, loss_cls: 0.1545, acc: 94.3660, loss_bbox: 0.1993, loss_mask: 0.2087, loss: 0.6146 +2022-09-23 00:53:47,608 - mmdet - INFO - Epoch [24][6800/7330] lr: 1.000e-04, eta: 11:07:24, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0287, loss_cls: 0.1594, acc: 94.1975, loss_bbox: 0.1986, loss_mask: 0.2066, loss: 0.6140 +2022-09-23 00:54:09,445 - mmdet - INFO - Epoch [24][6850/7330] lr: 1.000e-04, eta: 11:07:01, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0289, loss_cls: 0.1550, acc: 94.3337, loss_bbox: 0.1935, loss_mask: 0.2090, loss: 0.6075 +2022-09-23 00:54:30,827 - mmdet - INFO - Epoch [24][6900/7330] lr: 1.000e-04, eta: 11:06:37, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0300, loss_cls: 0.1631, acc: 94.0312, loss_bbox: 0.2099, loss_mask: 0.2165, loss: 0.6423 +2022-09-23 00:54:53,209 - mmdet - INFO - Epoch [24][6950/7330] lr: 1.000e-04, eta: 11:06:14, time: 0.448, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0309, loss_cls: 0.1532, acc: 94.3513, loss_bbox: 0.1965, loss_mask: 0.2047, loss: 0.6066 +2022-09-23 00:55:15,225 - mmdet - INFO - Epoch [24][7000/7330] lr: 1.000e-04, eta: 11:05:51, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0294, loss_cls: 0.1586, acc: 94.1755, loss_bbox: 0.1995, loss_mask: 0.2094, loss: 0.6176 +2022-09-23 00:55:36,679 - mmdet - INFO - Epoch [24][7050/7330] lr: 1.000e-04, eta: 11:05:28, time: 0.429, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0332, loss_cls: 0.1626, acc: 94.0391, loss_bbox: 0.2097, loss_mask: 0.2171, loss: 0.6469 +2022-09-23 00:55:58,693 - mmdet - INFO - Epoch [24][7100/7330] lr: 1.000e-04, eta: 11:05:05, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0315, loss_cls: 0.1525, acc: 94.4119, loss_bbox: 0.2007, loss_mask: 0.2078, loss: 0.6137 +2022-09-23 00:56:20,602 - mmdet - INFO - Epoch [24][7150/7330] lr: 1.000e-04, eta: 11:04:41, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0324, loss_cls: 0.1642, acc: 93.9668, loss_bbox: 0.2058, loss_mask: 0.2077, loss: 0.6322 +2022-09-23 00:56:42,332 - mmdet - INFO - Epoch [24][7200/7330] lr: 1.000e-04, eta: 11:04:18, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0327, loss_cls: 0.1612, acc: 94.1057, loss_bbox: 0.2085, loss_mask: 0.2127, loss: 0.6388 +2022-09-23 00:57:04,206 - mmdet - INFO - Epoch [24][7250/7330] lr: 1.000e-04, eta: 11:03:55, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0316, loss_cls: 0.1412, acc: 94.8083, loss_bbox: 0.1884, loss_mask: 0.2075, loss: 0.5909 +2022-09-23 00:57:26,056 - mmdet - INFO - Epoch [24][7300/7330] lr: 1.000e-04, eta: 11:03:32, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0314, loss_cls: 0.1474, acc: 94.5361, loss_bbox: 0.1917, loss_mask: 0.2106, loss: 0.6011 +2022-09-23 00:57:49,394 - mmdet - INFO - Saving checkpoint at 24 epochs +2022-09-23 01:00:13,818 - mmdet - INFO - Evaluating bbox... +2022-09-23 01:00:40,680 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.489 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.711 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.538 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.339 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.528 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.449 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.657 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.753 + +2022-09-23 01:00:40,681 - mmdet - INFO - Evaluating segm... +2022-09-23 01:01:11,838 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.439 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.683 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.476 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.251 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.472 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.624 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.559 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.559 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.559 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.385 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.601 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.713 + +2022-09-23 01:01:12,278 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 01:01:12,280 - mmdet - INFO - Epoch(val) [24][625] bbox_mAP: 0.4890, bbox_mAP_50: 0.7110, bbox_mAP_75: 0.5380, bbox_mAP_s: 0.3390, bbox_mAP_m: 0.5280, bbox_mAP_l: 0.6270, bbox_mAP_copypaste: 0.489 0.711 0.538 0.339 0.528 0.627, segm_mAP: 0.4390, segm_mAP_50: 0.6830, segm_mAP_75: 0.4760, segm_mAP_s: 0.2510, segm_mAP_m: 0.4720, segm_mAP_l: 0.6240, segm_mAP_copypaste: 0.439 0.683 0.476 0.251 0.472 0.624 +2022-09-23 01:03:49,574 - mmdet - INFO - Epoch [25][50/7330] lr: 1.000e-04, eta: 11:04:26, time: 3.146, data_time: 2.691, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0304, loss_cls: 0.1597, acc: 94.2388, loss_bbox: 0.2022, loss_mask: 0.2120, loss: 0.6261 +2022-09-23 01:04:12,382 - mmdet - INFO - Epoch [25][100/7330] lr: 1.000e-04, eta: 11:04:04, time: 0.456, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0295, loss_cls: 0.1435, acc: 94.7480, loss_bbox: 0.1881, loss_mask: 0.2075, loss: 0.5876 +2022-09-23 01:04:34,656 - mmdet - INFO - Epoch [25][150/7330] lr: 1.000e-04, eta: 11:03:41, time: 0.445, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0300, loss_cls: 0.1550, acc: 94.2598, loss_bbox: 0.2027, loss_mask: 0.2103, loss: 0.6183 +2022-09-23 01:04:57,204 - mmdet - INFO - Epoch [25][200/7330] lr: 1.000e-04, eta: 11:03:18, time: 0.452, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0326, loss_cls: 0.1590, acc: 94.1106, loss_bbox: 0.2071, loss_mask: 0.2127, loss: 0.6329 +2022-09-23 01:05:19,596 - mmdet - INFO - Epoch [25][250/7330] lr: 1.000e-04, eta: 11:02:55, time: 0.448, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0293, loss_cls: 0.1539, acc: 94.3203, loss_bbox: 0.1971, loss_mask: 0.2074, loss: 0.6088 +2022-09-23 01:05:42,151 - mmdet - INFO - Epoch [25][300/7330] lr: 1.000e-04, eta: 11:02:32, time: 0.451, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0310, loss_cls: 0.1546, acc: 94.3157, loss_bbox: 0.1941, loss_mask: 0.2073, loss: 0.6092 +2022-09-23 01:06:04,252 - mmdet - INFO - Epoch [25][350/7330] lr: 1.000e-04, eta: 11:02:09, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0337, loss_cls: 0.1597, acc: 94.1003, loss_bbox: 0.2064, loss_mask: 0.2072, loss: 0.6311 +2022-09-23 01:06:26,386 - mmdet - INFO - Epoch [25][400/7330] lr: 1.000e-04, eta: 11:01:46, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0308, loss_cls: 0.1518, acc: 94.3069, loss_bbox: 0.1990, loss_mask: 0.2074, loss: 0.6080 +2022-09-23 01:06:48,606 - mmdet - INFO - Epoch [25][450/7330] lr: 1.000e-04, eta: 11:01:23, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0288, loss_cls: 0.1437, acc: 94.6399, loss_bbox: 0.1896, loss_mask: 0.2031, loss: 0.5856 +2022-09-23 01:07:10,542 - mmdet - INFO - Epoch [25][500/7330] lr: 1.000e-04, eta: 11:01:00, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0294, loss_cls: 0.1583, acc: 94.2300, loss_bbox: 0.1992, loss_mask: 0.2111, loss: 0.6182 +2022-09-23 01:07:32,570 - mmdet - INFO - Epoch [25][550/7330] lr: 1.000e-04, eta: 11:00:37, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0276, loss_cls: 0.1425, acc: 94.7292, loss_bbox: 0.1905, loss_mask: 0.2034, loss: 0.5820 +2022-09-23 01:07:54,726 - mmdet - INFO - Epoch [25][600/7330] lr: 1.000e-04, eta: 11:00:14, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0300, loss_cls: 0.1564, acc: 94.1699, loss_bbox: 0.2041, loss_mask: 0.2115, loss: 0.6219 +2022-09-23 01:08:17,097 - mmdet - INFO - Epoch [25][650/7330] lr: 1.000e-04, eta: 10:59:51, time: 0.448, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0301, loss_cls: 0.1546, acc: 94.3413, loss_bbox: 0.1988, loss_mask: 0.2068, loss: 0.6103 +2022-09-23 01:08:39,367 - mmdet - INFO - Epoch [25][700/7330] lr: 1.000e-04, eta: 10:59:28, time: 0.446, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0312, loss_cls: 0.1527, acc: 94.3042, loss_bbox: 0.2043, loss_mask: 0.2105, loss: 0.6187 +2022-09-23 01:09:01,574 - mmdet - INFO - Epoch [25][750/7330] lr: 1.000e-04, eta: 10:59:05, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1536, acc: 94.3735, loss_bbox: 0.2010, loss_mask: 0.2080, loss: 0.6157 +2022-09-23 01:09:23,657 - mmdet - INFO - Epoch [25][800/7330] lr: 1.000e-04, eta: 10:58:42, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0308, loss_cls: 0.1382, acc: 94.8093, loss_bbox: 0.1864, loss_mask: 0.2084, loss: 0.5837 +2022-09-23 01:09:45,992 - mmdet - INFO - Epoch [25][850/7330] lr: 1.000e-04, eta: 10:58:19, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0293, loss_cls: 0.1420, acc: 94.7878, loss_bbox: 0.1847, loss_mask: 0.2022, loss: 0.5782 +2022-09-23 01:10:08,939 - mmdet - INFO - Epoch [25][900/7330] lr: 1.000e-04, eta: 10:57:56, time: 0.459, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0305, loss_cls: 0.1478, acc: 94.4807, loss_bbox: 0.1946, loss_mask: 0.2055, loss: 0.5965 +2022-09-23 01:10:30,878 - mmdet - INFO - Epoch [25][950/7330] lr: 1.000e-04, eta: 10:57:33, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0290, loss_cls: 0.1549, acc: 94.2715, loss_bbox: 0.1968, loss_mask: 0.2078, loss: 0.6077 +2022-09-23 01:10:52,741 - mmdet - INFO - Epoch [25][1000/7330] lr: 1.000e-04, eta: 10:57:10, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0299, loss_cls: 0.1540, acc: 94.4106, loss_bbox: 0.1967, loss_mask: 0.2094, loss: 0.6100 +2022-09-23 01:11:14,844 - mmdet - INFO - Epoch [25][1050/7330] lr: 1.000e-04, eta: 10:56:47, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0304, loss_cls: 0.1559, acc: 94.2109, loss_bbox: 0.2005, loss_mask: 0.2096, loss: 0.6186 +2022-09-23 01:11:37,020 - mmdet - INFO - Epoch [25][1100/7330] lr: 1.000e-04, eta: 10:56:24, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0321, loss_cls: 0.1558, acc: 94.3335, loss_bbox: 0.1914, loss_mask: 0.2039, loss: 0.6066 +2022-09-23 01:11:58,695 - mmdet - INFO - Epoch [25][1150/7330] lr: 1.000e-04, eta: 10:56:00, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0290, loss_cls: 0.1499, acc: 94.5039, loss_bbox: 0.1937, loss_mask: 0.2114, loss: 0.6052 +2022-09-23 01:12:20,161 - mmdet - INFO - Epoch [25][1200/7330] lr: 1.000e-04, eta: 10:55:37, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0292, loss_cls: 0.1453, acc: 94.7175, loss_bbox: 0.1884, loss_mask: 0.2025, loss: 0.5852 +2022-09-23 01:12:42,546 - mmdet - INFO - Epoch [25][1250/7330] lr: 1.000e-04, eta: 10:55:14, time: 0.448, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0311, loss_cls: 0.1566, acc: 94.1826, loss_bbox: 0.2068, loss_mask: 0.2082, loss: 0.6235 +2022-09-23 01:13:03,973 - mmdet - INFO - Epoch [25][1300/7330] lr: 1.000e-04, eta: 10:54:50, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0295, loss_cls: 0.1479, acc: 94.5454, loss_bbox: 0.1926, loss_mask: 0.2052, loss: 0.5944 +2022-09-23 01:13:26,151 - mmdet - INFO - Epoch [25][1350/7330] lr: 1.000e-04, eta: 10:54:27, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0288, loss_cls: 0.1541, acc: 94.3428, loss_bbox: 0.1981, loss_mask: 0.2123, loss: 0.6143 +2022-09-23 01:13:48,139 - mmdet - INFO - Epoch [25][1400/7330] lr: 1.000e-04, eta: 10:54:04, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0317, loss_cls: 0.1508, acc: 94.4512, loss_bbox: 0.1961, loss_mask: 0.2016, loss: 0.6017 +2022-09-23 01:14:09,662 - mmdet - INFO - Epoch [25][1450/7330] lr: 1.000e-04, eta: 10:53:41, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0301, loss_cls: 0.1370, acc: 94.9485, loss_bbox: 0.1798, loss_mask: 0.1993, loss: 0.5657 +2022-09-23 01:14:32,072 - mmdet - INFO - Epoch [25][1500/7330] lr: 1.000e-04, eta: 10:53:18, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0317, loss_cls: 0.1575, acc: 94.1772, loss_bbox: 0.2031, loss_mask: 0.2106, loss: 0.6241 +2022-09-23 01:14:53,985 - mmdet - INFO - Epoch [25][1550/7330] lr: 1.000e-04, eta: 10:52:55, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0317, loss_cls: 0.1612, acc: 94.0403, loss_bbox: 0.2058, loss_mask: 0.2102, loss: 0.6302 +2022-09-23 01:15:15,606 - mmdet - INFO - Epoch [25][1600/7330] lr: 1.000e-04, eta: 10:52:31, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0298, loss_cls: 0.1557, acc: 94.2556, loss_bbox: 0.1987, loss_mask: 0.2105, loss: 0.6173 +2022-09-23 01:15:37,630 - mmdet - INFO - Epoch [25][1650/7330] lr: 1.000e-04, eta: 10:52:08, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0307, loss_cls: 0.1535, acc: 94.3555, loss_bbox: 0.2007, loss_mask: 0.2099, loss: 0.6162 +2022-09-23 01:15:59,480 - mmdet - INFO - Epoch [25][1700/7330] lr: 1.000e-04, eta: 10:51:45, time: 0.436, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0306, loss_cls: 0.1531, acc: 94.3945, loss_bbox: 0.1958, loss_mask: 0.2091, loss: 0.6101 +2022-09-23 01:16:20,789 - mmdet - INFO - Epoch [25][1750/7330] lr: 1.000e-04, eta: 10:51:21, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0300, loss_cls: 0.1475, acc: 94.5984, loss_bbox: 0.1920, loss_mask: 0.2061, loss: 0.5964 +2022-09-23 01:16:42,702 - mmdet - INFO - Epoch [25][1800/7330] lr: 1.000e-04, eta: 10:50:58, time: 0.438, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0288, loss_cls: 0.1481, acc: 94.5740, loss_bbox: 0.1933, loss_mask: 0.2070, loss: 0.5970 +2022-09-23 01:17:04,381 - mmdet - INFO - Epoch [25][1850/7330] lr: 1.000e-04, eta: 10:50:34, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0299, loss_cls: 0.1543, acc: 94.4033, loss_bbox: 0.2012, loss_mask: 0.2088, loss: 0.6155 +2022-09-23 01:17:26,153 - mmdet - INFO - Epoch [25][1900/7330] lr: 1.000e-04, eta: 10:50:11, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0281, loss_cls: 0.1459, acc: 94.8357, loss_bbox: 0.1847, loss_mask: 0.2070, loss: 0.5871 +2022-09-23 01:17:48,646 - mmdet - INFO - Epoch [25][1950/7330] lr: 1.000e-04, eta: 10:49:48, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0312, loss_cls: 0.1516, acc: 94.4299, loss_bbox: 0.1924, loss_mask: 0.2056, loss: 0.6006 +2022-09-23 01:18:09,992 - mmdet - INFO - Epoch [25][2000/7330] lr: 1.000e-04, eta: 10:49:25, time: 0.427, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0300, loss_cls: 0.1500, acc: 94.4543, loss_bbox: 0.1904, loss_mask: 0.1987, loss: 0.5891 +2022-09-23 01:18:31,854 - mmdet - INFO - Epoch [25][2050/7330] lr: 1.000e-04, eta: 10:49:02, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0325, loss_cls: 0.1579, acc: 94.1611, loss_bbox: 0.2043, loss_mask: 0.2133, loss: 0.6305 +2022-09-23 01:18:53,692 - mmdet - INFO - Epoch [25][2100/7330] lr: 1.000e-04, eta: 10:48:38, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0302, loss_cls: 0.1362, acc: 94.9285, loss_bbox: 0.1810, loss_mask: 0.2031, loss: 0.5709 +2022-09-23 01:19:15,121 - mmdet - INFO - Epoch [25][2150/7330] lr: 1.000e-04, eta: 10:48:15, time: 0.429, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0302, loss_cls: 0.1518, acc: 94.3337, loss_bbox: 0.1961, loss_mask: 0.2043, loss: 0.6031 +2022-09-23 01:19:36,778 - mmdet - INFO - Epoch [25][2200/7330] lr: 1.000e-04, eta: 10:47:51, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0332, loss_cls: 0.1474, acc: 94.5874, loss_bbox: 0.1964, loss_mask: 0.2097, loss: 0.6099 +2022-09-23 01:19:58,546 - mmdet - INFO - Epoch [25][2250/7330] lr: 1.000e-04, eta: 10:47:28, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0327, loss_cls: 0.1325, acc: 95.1636, loss_bbox: 0.1758, loss_mask: 0.1980, loss: 0.5604 +2022-09-23 01:20:20,148 - mmdet - INFO - Epoch [25][2300/7330] lr: 1.000e-04, eta: 10:47:05, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0306, loss_cls: 0.1447, acc: 94.6611, loss_bbox: 0.1890, loss_mask: 0.2030, loss: 0.5867 +2022-09-23 01:20:42,109 - mmdet - INFO - Epoch [25][2350/7330] lr: 1.000e-04, eta: 10:46:41, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0316, loss_cls: 0.1465, acc: 94.6914, loss_bbox: 0.1929, loss_mask: 0.2060, loss: 0.5975 +2022-09-23 01:21:03,822 - mmdet - INFO - Epoch [25][2400/7330] lr: 1.000e-04, eta: 10:46:18, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0325, loss_cls: 0.1519, acc: 94.4927, loss_bbox: 0.1973, loss_mask: 0.2103, loss: 0.6156 +2022-09-23 01:21:25,344 - mmdet - INFO - Epoch [25][2450/7330] lr: 1.000e-04, eta: 10:45:55, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0288, loss_cls: 0.1283, acc: 95.2124, loss_bbox: 0.1743, loss_mask: 0.2016, loss: 0.5524 +2022-09-23 01:21:46,974 - mmdet - INFO - Epoch [25][2500/7330] lr: 1.000e-04, eta: 10:45:31, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0314, loss_cls: 0.1461, acc: 94.6509, loss_bbox: 0.1951, loss_mask: 0.2076, loss: 0.6009 +2022-09-23 01:22:08,761 - mmdet - INFO - Epoch [25][2550/7330] lr: 1.000e-04, eta: 10:45:08, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0279, loss_cls: 0.1379, acc: 94.9038, loss_bbox: 0.1836, loss_mask: 0.2026, loss: 0.5707 +2022-09-23 01:22:30,504 - mmdet - INFO - Epoch [25][2600/7330] lr: 1.000e-04, eta: 10:44:45, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0310, loss_cls: 0.1561, acc: 94.2654, loss_bbox: 0.2010, loss_mask: 0.2090, loss: 0.6182 +2022-09-23 01:22:52,604 - mmdet - INFO - Epoch [25][2650/7330] lr: 1.000e-04, eta: 10:44:22, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0329, loss_cls: 0.1569, acc: 94.1958, loss_bbox: 0.2032, loss_mask: 0.2102, loss: 0.6249 +2022-09-23 01:23:14,297 - mmdet - INFO - Epoch [25][2700/7330] lr: 1.000e-04, eta: 10:43:58, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1542, acc: 94.3513, loss_bbox: 0.2011, loss_mask: 0.2105, loss: 0.6174 +2022-09-23 01:23:35,738 - mmdet - INFO - Epoch [25][2750/7330] lr: 1.000e-04, eta: 10:43:35, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0279, loss_cls: 0.1444, acc: 94.6499, loss_bbox: 0.1859, loss_mask: 0.2025, loss: 0.5793 +2022-09-23 01:23:57,631 - mmdet - INFO - Epoch [25][2800/7330] lr: 1.000e-04, eta: 10:43:11, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0291, loss_cls: 0.1535, acc: 94.3398, loss_bbox: 0.1929, loss_mask: 0.2083, loss: 0.6042 +2022-09-23 01:24:19,440 - mmdet - INFO - Epoch [25][2850/7330] lr: 1.000e-04, eta: 10:42:48, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0302, loss_cls: 0.1457, acc: 94.6355, loss_bbox: 0.1913, loss_mask: 0.2046, loss: 0.5918 +2022-09-23 01:24:41,013 - mmdet - INFO - Epoch [25][2900/7330] lr: 1.000e-04, eta: 10:42:25, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0291, loss_cls: 0.1468, acc: 94.4973, loss_bbox: 0.1942, loss_mask: 0.2092, loss: 0.5976 +2022-09-23 01:25:02,491 - mmdet - INFO - Epoch [25][2950/7330] lr: 1.000e-04, eta: 10:42:01, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0280, loss_cls: 0.1416, acc: 94.7761, loss_bbox: 0.1870, loss_mask: 0.2040, loss: 0.5778 +2022-09-23 01:25:24,321 - mmdet - INFO - Epoch [25][3000/7330] lr: 1.000e-04, eta: 10:41:38, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0309, loss_cls: 0.1532, acc: 94.3481, loss_bbox: 0.1988, loss_mask: 0.2112, loss: 0.6143 +2022-09-23 01:25:45,993 - mmdet - INFO - Epoch [25][3050/7330] lr: 1.000e-04, eta: 10:41:15, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0305, loss_cls: 0.1502, acc: 94.4619, loss_bbox: 0.1985, loss_mask: 0.2093, loss: 0.6074 +2022-09-23 01:26:08,060 - mmdet - INFO - Epoch [25][3100/7330] lr: 1.000e-04, eta: 10:40:52, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0321, loss_cls: 0.1565, acc: 94.2930, loss_bbox: 0.1977, loss_mask: 0.2136, loss: 0.6204 +2022-09-23 01:26:29,871 - mmdet - INFO - Epoch [25][3150/7330] lr: 1.000e-04, eta: 10:40:28, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0310, loss_cls: 0.1579, acc: 94.2190, loss_bbox: 0.1999, loss_mask: 0.2125, loss: 0.6225 +2022-09-23 01:26:52,063 - mmdet - INFO - Epoch [25][3200/7330] lr: 1.000e-04, eta: 10:40:05, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0303, loss_cls: 0.1534, acc: 94.3450, loss_bbox: 0.1999, loss_mask: 0.2037, loss: 0.6063 +2022-09-23 01:27:13,975 - mmdet - INFO - Epoch [25][3250/7330] lr: 1.000e-04, eta: 10:39:42, time: 0.438, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0327, loss_cls: 0.1440, acc: 94.6631, loss_bbox: 0.1941, loss_mask: 0.2110, loss: 0.6027 +2022-09-23 01:27:36,032 - mmdet - INFO - Epoch [25][3300/7330] lr: 1.000e-04, eta: 10:39:19, time: 0.441, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0326, loss_cls: 0.1497, acc: 94.4890, loss_bbox: 0.1991, loss_mask: 0.2105, loss: 0.6155 +2022-09-23 01:27:58,032 - mmdet - INFO - Epoch [25][3350/7330] lr: 1.000e-04, eta: 10:38:56, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0299, loss_cls: 0.1511, acc: 94.4319, loss_bbox: 0.1972, loss_mask: 0.2075, loss: 0.6042 +2022-09-23 01:28:20,154 - mmdet - INFO - Epoch [25][3400/7330] lr: 1.000e-04, eta: 10:38:33, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0300, loss_cls: 0.1510, acc: 94.4355, loss_bbox: 0.1972, loss_mask: 0.2095, loss: 0.6097 +2022-09-23 01:28:41,940 - mmdet - INFO - Epoch [25][3450/7330] lr: 1.000e-04, eta: 10:38:10, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0304, loss_cls: 0.1550, acc: 94.4023, loss_bbox: 0.1949, loss_mask: 0.2061, loss: 0.6078 +2022-09-23 01:29:04,442 - mmdet - INFO - Epoch [25][3500/7330] lr: 1.000e-04, eta: 10:37:47, time: 0.451, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0327, loss_cls: 0.1695, acc: 93.6870, loss_bbox: 0.2186, loss_mask: 0.2141, loss: 0.6583 +2022-09-23 01:29:26,550 - mmdet - INFO - Epoch [25][3550/7330] lr: 1.000e-04, eta: 10:37:24, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0320, loss_cls: 0.1567, acc: 94.2886, loss_bbox: 0.2054, loss_mask: 0.2100, loss: 0.6249 +2022-09-23 01:29:48,397 - mmdet - INFO - Epoch [25][3600/7330] lr: 1.000e-04, eta: 10:37:01, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0329, loss_cls: 0.1600, acc: 94.0801, loss_bbox: 0.2103, loss_mask: 0.2129, loss: 0.6374 +2022-09-23 01:30:10,234 - mmdet - INFO - Epoch [25][3650/7330] lr: 1.000e-04, eta: 10:36:38, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0290, loss_cls: 0.1503, acc: 94.4521, loss_bbox: 0.1937, loss_mask: 0.2127, loss: 0.6069 +2022-09-23 01:30:32,491 - mmdet - INFO - Epoch [25][3700/7330] lr: 1.000e-04, eta: 10:36:15, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0302, loss_cls: 0.1498, acc: 94.5063, loss_bbox: 0.1943, loss_mask: 0.2039, loss: 0.5993 +2022-09-23 01:30:54,357 - mmdet - INFO - Epoch [25][3750/7330] lr: 1.000e-04, eta: 10:35:51, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0329, loss_cls: 0.1625, acc: 93.9529, loss_bbox: 0.2104, loss_mask: 0.2150, loss: 0.6428 +2022-09-23 01:31:16,217 - mmdet - INFO - Epoch [25][3800/7330] lr: 1.000e-04, eta: 10:35:28, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0295, loss_cls: 0.1611, acc: 94.1799, loss_bbox: 0.2023, loss_mask: 0.2091, loss: 0.6228 +2022-09-23 01:31:38,280 - mmdet - INFO - Epoch [25][3850/7330] lr: 1.000e-04, eta: 10:35:05, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0311, loss_cls: 0.1536, acc: 94.3374, loss_bbox: 0.1990, loss_mask: 0.2063, loss: 0.6108 +2022-09-23 01:32:00,748 - mmdet - INFO - Epoch [25][3900/7330] lr: 1.000e-04, eta: 10:34:42, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0320, loss_cls: 0.1595, acc: 94.2148, loss_bbox: 0.1991, loss_mask: 0.2139, loss: 0.6261 +2022-09-23 01:32:22,640 - mmdet - INFO - Epoch [25][3950/7330] lr: 1.000e-04, eta: 10:34:19, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0293, loss_cls: 0.1552, acc: 94.2400, loss_bbox: 0.1966, loss_mask: 0.2099, loss: 0.6130 +2022-09-23 01:32:44,711 - mmdet - INFO - Epoch [25][4000/7330] lr: 1.000e-04, eta: 10:33:56, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0300, loss_cls: 0.1391, acc: 94.9070, loss_bbox: 0.1825, loss_mask: 0.2115, loss: 0.5845 +2022-09-23 01:33:07,057 - mmdet - INFO - Epoch [25][4050/7330] lr: 1.000e-04, eta: 10:33:33, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0309, loss_cls: 0.1446, acc: 94.6924, loss_bbox: 0.1872, loss_mask: 0.2025, loss: 0.5859 +2022-09-23 01:33:29,039 - mmdet - INFO - Epoch [25][4100/7330] lr: 1.000e-04, eta: 10:33:10, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0306, loss_cls: 0.1496, acc: 94.4771, loss_bbox: 0.1955, loss_mask: 0.2064, loss: 0.6044 +2022-09-23 01:33:51,656 - mmdet - INFO - Epoch [25][4150/7330] lr: 1.000e-04, eta: 10:32:47, time: 0.452, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0306, loss_cls: 0.1483, acc: 94.5396, loss_bbox: 0.1949, loss_mask: 0.2095, loss: 0.6043 +2022-09-23 01:34:14,008 - mmdet - INFO - Epoch [25][4200/7330] lr: 1.000e-04, eta: 10:32:25, time: 0.447, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0287, loss_cls: 0.1483, acc: 94.5842, loss_bbox: 0.1876, loss_mask: 0.2005, loss: 0.5845 +2022-09-23 01:34:35,771 - mmdet - INFO - Epoch [25][4250/7330] lr: 1.000e-04, eta: 10:32:01, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0297, loss_cls: 0.1499, acc: 94.5000, loss_bbox: 0.1977, loss_mask: 0.2084, loss: 0.6053 +2022-09-23 01:34:58,079 - mmdet - INFO - Epoch [25][4300/7330] lr: 1.000e-04, eta: 10:31:38, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0304, loss_cls: 0.1545, acc: 94.2974, loss_bbox: 0.1959, loss_mask: 0.2075, loss: 0.6083 +2022-09-23 01:35:19,915 - mmdet - INFO - Epoch [25][4350/7330] lr: 1.000e-04, eta: 10:31:15, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0298, loss_cls: 0.1477, acc: 94.5747, loss_bbox: 0.1937, loss_mask: 0.2011, loss: 0.5916 +2022-09-23 01:35:41,683 - mmdet - INFO - Epoch [25][4400/7330] lr: 1.000e-04, eta: 10:30:52, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0317, loss_cls: 0.1678, acc: 93.8650, loss_bbox: 0.2090, loss_mask: 0.2133, loss: 0.6434 +2022-09-23 01:36:03,569 - mmdet - INFO - Epoch [25][4450/7330] lr: 1.000e-04, eta: 10:30:29, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0309, loss_cls: 0.1518, acc: 94.4368, loss_bbox: 0.1950, loss_mask: 0.2087, loss: 0.6071 +2022-09-23 01:36:25,316 - mmdet - INFO - Epoch [25][4500/7330] lr: 1.000e-04, eta: 10:30:06, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0302, loss_cls: 0.1543, acc: 94.3486, loss_bbox: 0.1960, loss_mask: 0.2038, loss: 0.6050 +2022-09-23 01:36:47,300 - mmdet - INFO - Epoch [25][4550/7330] lr: 1.000e-04, eta: 10:29:42, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0307, loss_cls: 0.1525, acc: 94.3357, loss_bbox: 0.2034, loss_mask: 0.2108, loss: 0.6179 +2022-09-23 01:37:09,024 - mmdet - INFO - Epoch [25][4600/7330] lr: 1.000e-04, eta: 10:29:19, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0286, loss_cls: 0.1476, acc: 94.6284, loss_bbox: 0.1924, loss_mask: 0.2093, loss: 0.5976 +2022-09-23 01:37:30,843 - mmdet - INFO - Epoch [25][4650/7330] lr: 1.000e-04, eta: 10:28:56, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0287, loss_cls: 0.1492, acc: 94.5183, loss_bbox: 0.1932, loss_mask: 0.2104, loss: 0.6008 +2022-09-23 01:37:52,932 - mmdet - INFO - Epoch [25][4700/7330] lr: 1.000e-04, eta: 10:28:33, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0325, loss_cls: 0.1551, acc: 94.2297, loss_bbox: 0.2044, loss_mask: 0.2151, loss: 0.6322 +2022-09-23 01:38:15,149 - mmdet - INFO - Epoch [25][4750/7330] lr: 1.000e-04, eta: 10:28:10, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0300, loss_cls: 0.1466, acc: 94.5327, loss_bbox: 0.1955, loss_mask: 0.2127, loss: 0.6061 +2022-09-23 01:38:36,987 - mmdet - INFO - Epoch [25][4800/7330] lr: 1.000e-04, eta: 10:27:47, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0287, loss_cls: 0.1511, acc: 94.4250, loss_bbox: 0.1972, loss_mask: 0.2084, loss: 0.6061 +2022-09-23 01:38:58,759 - mmdet - INFO - Epoch [25][4850/7330] lr: 1.000e-04, eta: 10:27:24, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0267, loss_cls: 0.1462, acc: 94.6318, loss_bbox: 0.1912, loss_mask: 0.2072, loss: 0.5894 +2022-09-23 01:39:21,007 - mmdet - INFO - Epoch [25][4900/7330] lr: 1.000e-04, eta: 10:27:01, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0321, loss_cls: 0.1485, acc: 94.5676, loss_bbox: 0.1957, loss_mask: 0.2064, loss: 0.6048 +2022-09-23 01:39:42,996 - mmdet - INFO - Epoch [25][4950/7330] lr: 1.000e-04, eta: 10:26:38, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0329, loss_cls: 0.1662, acc: 93.8889, loss_bbox: 0.2111, loss_mask: 0.2090, loss: 0.6409 +2022-09-23 01:40:05,558 - mmdet - INFO - Epoch [25][5000/7330] lr: 1.000e-04, eta: 10:26:15, time: 0.451, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0306, loss_cls: 0.1565, acc: 94.2610, loss_bbox: 0.1977, loss_mask: 0.2097, loss: 0.6178 +2022-09-23 01:40:28,162 - mmdet - INFO - Epoch [25][5050/7330] lr: 1.000e-04, eta: 10:25:52, time: 0.452, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0342, loss_cls: 0.1595, acc: 94.0217, loss_bbox: 0.2143, loss_mask: 0.2087, loss: 0.6408 +2022-09-23 01:40:50,170 - mmdet - INFO - Epoch [25][5100/7330] lr: 1.000e-04, eta: 10:25:29, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0308, loss_cls: 0.1580, acc: 94.1868, loss_bbox: 0.2001, loss_mask: 0.2113, loss: 0.6213 +2022-09-23 01:41:12,579 - mmdet - INFO - Epoch [25][5150/7330] lr: 1.000e-04, eta: 10:25:06, time: 0.448, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0294, loss_cls: 0.1565, acc: 94.2544, loss_bbox: 0.1980, loss_mask: 0.2097, loss: 0.6153 +2022-09-23 01:41:34,795 - mmdet - INFO - Epoch [25][5200/7330] lr: 1.000e-04, eta: 10:24:43, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0301, loss_cls: 0.1572, acc: 94.1897, loss_bbox: 0.2002, loss_mask: 0.2093, loss: 0.6169 +2022-09-23 01:41:56,610 - mmdet - INFO - Epoch [25][5250/7330] lr: 1.000e-04, eta: 10:24:20, time: 0.436, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0289, loss_cls: 0.1462, acc: 94.6060, loss_bbox: 0.1840, loss_mask: 0.2026, loss: 0.5802 +2022-09-23 01:42:18,699 - mmdet - INFO - Epoch [25][5300/7330] lr: 1.000e-04, eta: 10:23:57, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0288, loss_cls: 0.1511, acc: 94.4321, loss_bbox: 0.1960, loss_mask: 0.2095, loss: 0.6040 +2022-09-23 01:42:40,842 - mmdet - INFO - Epoch [25][5350/7330] lr: 1.000e-04, eta: 10:23:34, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0289, loss_cls: 0.1586, acc: 94.2244, loss_bbox: 0.2046, loss_mask: 0.2034, loss: 0.6140 +2022-09-23 01:43:02,366 - mmdet - INFO - Epoch [25][5400/7330] lr: 1.000e-04, eta: 10:23:11, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0315, loss_cls: 0.1655, acc: 93.9924, loss_bbox: 0.2068, loss_mask: 0.2125, loss: 0.6397 +2022-09-23 01:43:24,396 - mmdet - INFO - Epoch [25][5450/7330] lr: 1.000e-04, eta: 10:22:48, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0311, loss_cls: 0.1567, acc: 94.3066, loss_bbox: 0.2029, loss_mask: 0.2088, loss: 0.6213 +2022-09-23 01:43:45,871 - mmdet - INFO - Epoch [25][5500/7330] lr: 1.000e-04, eta: 10:22:24, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0313, loss_cls: 0.1626, acc: 94.1301, loss_bbox: 0.2037, loss_mask: 0.2115, loss: 0.6307 +2022-09-23 01:44:07,749 - mmdet - INFO - Epoch [25][5550/7330] lr: 1.000e-04, eta: 10:22:01, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0292, loss_cls: 0.1533, acc: 94.4133, loss_bbox: 0.1936, loss_mask: 0.2071, loss: 0.6052 +2022-09-23 01:44:29,269 - mmdet - INFO - Epoch [25][5600/7330] lr: 1.000e-04, eta: 10:21:38, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0296, loss_cls: 0.1520, acc: 94.3972, loss_bbox: 0.1988, loss_mask: 0.2116, loss: 0.6122 +2022-09-23 01:44:51,406 - mmdet - INFO - Epoch [25][5650/7330] lr: 1.000e-04, eta: 10:21:15, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0331, loss_cls: 0.1592, acc: 94.3376, loss_bbox: 0.2017, loss_mask: 0.2117, loss: 0.6286 +2022-09-23 01:45:13,214 - mmdet - INFO - Epoch [25][5700/7330] lr: 1.000e-04, eta: 10:20:51, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0302, loss_cls: 0.1536, acc: 94.3323, loss_bbox: 0.2027, loss_mask: 0.2124, loss: 0.6192 +2022-09-23 01:45:35,051 - mmdet - INFO - Epoch [25][5750/7330] lr: 1.000e-04, eta: 10:20:28, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0315, loss_cls: 0.1650, acc: 93.9832, loss_bbox: 0.2065, loss_mask: 0.2173, loss: 0.6408 +2022-09-23 01:45:56,833 - mmdet - INFO - Epoch [25][5800/7330] lr: 1.000e-04, eta: 10:20:05, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0306, loss_cls: 0.1567, acc: 94.2590, loss_bbox: 0.1997, loss_mask: 0.2100, loss: 0.6183 +2022-09-23 01:46:18,360 - mmdet - INFO - Epoch [25][5850/7330] lr: 1.000e-04, eta: 10:19:42, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0285, loss_cls: 0.1489, acc: 94.6101, loss_bbox: 0.1893, loss_mask: 0.2083, loss: 0.5953 +2022-09-23 01:46:39,602 - mmdet - INFO - Epoch [25][5900/7330] lr: 1.000e-04, eta: 10:19:18, time: 0.425, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0297, loss_cls: 0.1469, acc: 94.5537, loss_bbox: 0.1932, loss_mask: 0.2070, loss: 0.5958 +2022-09-23 01:47:01,345 - mmdet - INFO - Epoch [25][5950/7330] lr: 1.000e-04, eta: 10:18:55, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0311, loss_cls: 0.1503, acc: 94.5381, loss_bbox: 0.1963, loss_mask: 0.2071, loss: 0.6056 +2022-09-23 01:47:23,208 - mmdet - INFO - Epoch [25][6000/7330] lr: 1.000e-04, eta: 10:18:32, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0283, loss_cls: 0.1453, acc: 94.6523, loss_bbox: 0.1873, loss_mask: 0.2049, loss: 0.5854 +2022-09-23 01:47:45,621 - mmdet - INFO - Epoch [25][6050/7330] lr: 1.000e-04, eta: 10:18:09, time: 0.448, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0303, loss_cls: 0.1567, acc: 94.2708, loss_bbox: 0.2001, loss_mask: 0.2071, loss: 0.6141 +2022-09-23 01:48:07,461 - mmdet - INFO - Epoch [25][6100/7330] lr: 1.000e-04, eta: 10:17:46, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0306, loss_cls: 0.1549, acc: 94.4009, loss_bbox: 0.1977, loss_mask: 0.2077, loss: 0.6103 +2022-09-23 01:48:29,453 - mmdet - INFO - Epoch [25][6150/7330] lr: 1.000e-04, eta: 10:17:23, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0289, loss_cls: 0.1493, acc: 94.5322, loss_bbox: 0.1977, loss_mask: 0.2052, loss: 0.5989 +2022-09-23 01:48:51,156 - mmdet - INFO - Epoch [25][6200/7330] lr: 1.000e-04, eta: 10:16:59, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0331, loss_cls: 0.1634, acc: 93.9988, loss_bbox: 0.2075, loss_mask: 0.2147, loss: 0.6403 +2022-09-23 01:49:12,867 - mmdet - INFO - Epoch [25][6250/7330] lr: 1.000e-04, eta: 10:16:36, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0291, loss_cls: 0.1481, acc: 94.4531, loss_bbox: 0.1951, loss_mask: 0.2063, loss: 0.5985 +2022-09-23 01:49:34,385 - mmdet - INFO - Epoch [25][6300/7330] lr: 1.000e-04, eta: 10:16:13, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0311, loss_cls: 0.1571, acc: 94.2822, loss_bbox: 0.2041, loss_mask: 0.2100, loss: 0.6218 +2022-09-23 01:49:56,198 - mmdet - INFO - Epoch [25][6350/7330] lr: 1.000e-04, eta: 10:15:50, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0297, loss_cls: 0.1477, acc: 94.4753, loss_bbox: 0.1953, loss_mask: 0.2035, loss: 0.5956 +2022-09-23 01:50:17,840 - mmdet - INFO - Epoch [25][6400/7330] lr: 1.000e-04, eta: 10:15:26, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0297, loss_cls: 0.1515, acc: 94.4048, loss_bbox: 0.1888, loss_mask: 0.2044, loss: 0.5929 +2022-09-23 01:50:39,643 - mmdet - INFO - Epoch [25][6450/7330] lr: 1.000e-04, eta: 10:15:03, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0332, loss_cls: 0.1669, acc: 93.8232, loss_bbox: 0.2122, loss_mask: 0.2166, loss: 0.6501 +2022-09-23 01:51:01,611 - mmdet - INFO - Epoch [25][6500/7330] lr: 1.000e-04, eta: 10:14:40, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0311, loss_cls: 0.1590, acc: 94.2583, loss_bbox: 0.1993, loss_mask: 0.2113, loss: 0.6239 +2022-09-23 01:51:23,463 - mmdet - INFO - Epoch [25][6550/7330] lr: 1.000e-04, eta: 10:14:17, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0305, loss_cls: 0.1535, acc: 94.5200, loss_bbox: 0.1927, loss_mask: 0.2080, loss: 0.6055 +2022-09-23 01:51:45,364 - mmdet - INFO - Epoch [25][6600/7330] lr: 1.000e-04, eta: 10:13:54, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0303, loss_cls: 0.1511, acc: 94.4600, loss_bbox: 0.1982, loss_mask: 0.2095, loss: 0.6100 +2022-09-23 01:52:06,739 - mmdet - INFO - Epoch [25][6650/7330] lr: 1.000e-04, eta: 10:13:30, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0283, loss_cls: 0.1526, acc: 94.3418, loss_bbox: 0.1929, loss_mask: 0.2036, loss: 0.5956 +2022-09-23 01:52:28,258 - mmdet - INFO - Epoch [25][6700/7330] lr: 1.000e-04, eta: 10:13:07, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0289, loss_cls: 0.1525, acc: 94.5422, loss_bbox: 0.1911, loss_mask: 0.2076, loss: 0.6015 +2022-09-23 01:52:50,126 - mmdet - INFO - Epoch [25][6750/7330] lr: 1.000e-04, eta: 10:12:44, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0314, loss_cls: 0.1560, acc: 94.2004, loss_bbox: 0.2047, loss_mask: 0.2161, loss: 0.6286 +2022-09-23 01:53:11,832 - mmdet - INFO - Epoch [25][6800/7330] lr: 1.000e-04, eta: 10:12:21, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0306, loss_cls: 0.1601, acc: 94.0537, loss_bbox: 0.2020, loss_mask: 0.2123, loss: 0.6254 +2022-09-23 01:53:33,657 - mmdet - INFO - Epoch [25][6850/7330] lr: 1.000e-04, eta: 10:11:57, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0314, loss_cls: 0.1497, acc: 94.4907, loss_bbox: 0.1953, loss_mask: 0.2123, loss: 0.6110 +2022-09-23 01:53:55,498 - mmdet - INFO - Epoch [25][6900/7330] lr: 1.000e-04, eta: 10:11:34, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0306, loss_cls: 0.1581, acc: 94.1157, loss_bbox: 0.2013, loss_mask: 0.2119, loss: 0.6224 +2022-09-23 01:54:17,208 - mmdet - INFO - Epoch [25][6950/7330] lr: 1.000e-04, eta: 10:11:11, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0281, loss_cls: 0.1451, acc: 94.7581, loss_bbox: 0.1852, loss_mask: 0.2071, loss: 0.5847 +2022-09-23 01:54:38,820 - mmdet - INFO - Epoch [25][7000/7330] lr: 1.000e-04, eta: 10:10:48, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0305, loss_cls: 0.1527, acc: 94.4045, loss_bbox: 0.2008, loss_mask: 0.2096, loss: 0.6149 +2022-09-23 01:55:00,977 - mmdet - INFO - Epoch [25][7050/7330] lr: 1.000e-04, eta: 10:10:25, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0310, loss_cls: 0.1617, acc: 94.1702, loss_bbox: 0.2033, loss_mask: 0.2083, loss: 0.6275 +2022-09-23 01:55:22,281 - mmdet - INFO - Epoch [25][7100/7330] lr: 1.000e-04, eta: 10:10:01, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0311, loss_cls: 0.1554, acc: 94.2498, loss_bbox: 0.1963, loss_mask: 0.2141, loss: 0.6193 +2022-09-23 01:55:44,344 - mmdet - INFO - Epoch [25][7150/7330] lr: 1.000e-04, eta: 10:09:38, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0299, loss_cls: 0.1544, acc: 94.3406, loss_bbox: 0.1980, loss_mask: 0.2158, loss: 0.6193 +2022-09-23 01:56:06,096 - mmdet - INFO - Epoch [25][7200/7330] lr: 1.000e-04, eta: 10:09:15, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0308, loss_cls: 0.1549, acc: 94.3291, loss_bbox: 0.1986, loss_mask: 0.2090, loss: 0.6149 +2022-09-23 01:56:28,150 - mmdet - INFO - Epoch [25][7250/7330] lr: 1.000e-04, eta: 10:08:52, time: 0.441, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0318, loss_cls: 0.1581, acc: 94.1965, loss_bbox: 0.2052, loss_mask: 0.2102, loss: 0.6265 +2022-09-23 01:56:49,657 - mmdet - INFO - Epoch [25][7300/7330] lr: 1.000e-04, eta: 10:08:29, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0291, loss_cls: 0.1480, acc: 94.6221, loss_bbox: 0.1874, loss_mask: 0.2111, loss: 0.5949 +2022-09-23 01:57:12,732 - mmdet - INFO - Saving checkpoint at 25 epochs +2022-09-23 01:59:39,503 - mmdet - INFO - Evaluating bbox... +2022-09-23 02:00:06,774 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.486 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.710 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.533 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.331 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.523 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.626 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.454 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.654 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.758 + +2022-09-23 02:00:06,775 - mmdet - INFO - Evaluating segm... +2022-09-23 02:00:39,755 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.433 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.679 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.464 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.254 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.472 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.616 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.558 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.558 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.558 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.393 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.716 + +2022-09-23 02:00:40,339 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:00:40,340 - mmdet - INFO - Epoch(val) [25][625] bbox_mAP: 0.4860, bbox_mAP_50: 0.7100, bbox_mAP_75: 0.5330, bbox_mAP_s: 0.3310, bbox_mAP_m: 0.5230, bbox_mAP_l: 0.6260, bbox_mAP_copypaste: 0.486 0.710 0.533 0.331 0.523 0.626, segm_mAP: 0.4330, segm_mAP_50: 0.6790, segm_mAP_75: 0.4640, segm_mAP_s: 0.2540, segm_mAP_m: 0.4720, segm_mAP_l: 0.6160, segm_mAP_copypaste: 0.433 0.679 0.464 0.254 0.472 0.616 +2022-09-23 02:03:36,402 - mmdet - INFO - Epoch [26][50/7330] lr: 1.000e-04, eta: 10:09:23, time: 3.521, data_time: 3.071, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0310, loss_cls: 0.1581, acc: 94.1628, loss_bbox: 0.1962, loss_mask: 0.2077, loss: 0.6142 +2022-09-23 02:03:58,846 - mmdet - INFO - Epoch [26][100/7330] lr: 1.000e-04, eta: 10:09:00, time: 0.449, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0310, loss_cls: 0.1544, acc: 94.2986, loss_bbox: 0.2034, loss_mask: 0.2171, loss: 0.6265 +2022-09-23 02:04:21,096 - mmdet - INFO - Epoch [26][150/7330] lr: 1.000e-04, eta: 10:08:37, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0308, loss_cls: 0.1588, acc: 94.1489, loss_bbox: 0.2037, loss_mask: 0.2097, loss: 0.6234 +2022-09-23 02:04:43,149 - mmdet - INFO - Epoch [26][200/7330] lr: 1.000e-04, eta: 10:08:14, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0300, loss_cls: 0.1516, acc: 94.4875, loss_bbox: 0.1977, loss_mask: 0.2041, loss: 0.6027 +2022-09-23 02:05:05,297 - mmdet - INFO - Epoch [26][250/7330] lr: 1.000e-04, eta: 10:07:51, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0313, loss_cls: 0.1461, acc: 94.6790, loss_bbox: 0.1942, loss_mask: 0.2060, loss: 0.5969 +2022-09-23 02:05:27,466 - mmdet - INFO - Epoch [26][300/7330] lr: 1.000e-04, eta: 10:07:28, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0288, loss_cls: 0.1415, acc: 94.8987, loss_bbox: 0.1842, loss_mask: 0.2040, loss: 0.5779 +2022-09-23 02:05:49,489 - mmdet - INFO - Epoch [26][350/7330] lr: 1.000e-04, eta: 10:07:05, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0295, loss_cls: 0.1491, acc: 94.4634, loss_bbox: 0.1978, loss_mask: 0.2097, loss: 0.6050 +2022-09-23 02:06:11,686 - mmdet - INFO - Epoch [26][400/7330] lr: 1.000e-04, eta: 10:06:42, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0301, loss_cls: 0.1505, acc: 94.5007, loss_bbox: 0.1963, loss_mask: 0.2112, loss: 0.6078 +2022-09-23 02:06:33,596 - mmdet - INFO - Epoch [26][450/7330] lr: 1.000e-04, eta: 10:06:19, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0310, loss_cls: 0.1556, acc: 94.2166, loss_bbox: 0.2040, loss_mask: 0.2084, loss: 0.6205 +2022-09-23 02:06:55,539 - mmdet - INFO - Epoch [26][500/7330] lr: 1.000e-04, eta: 10:05:55, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0299, loss_cls: 0.1530, acc: 94.3286, loss_bbox: 0.1980, loss_mask: 0.2081, loss: 0.6092 +2022-09-23 02:07:17,578 - mmdet - INFO - Epoch [26][550/7330] lr: 1.000e-04, eta: 10:05:32, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0320, loss_cls: 0.1499, acc: 94.5251, loss_bbox: 0.1959, loss_mask: 0.2073, loss: 0.6073 +2022-09-23 02:07:39,798 - mmdet - INFO - Epoch [26][600/7330] lr: 1.000e-04, eta: 10:05:09, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0332, loss_cls: 0.1567, acc: 94.1707, loss_bbox: 0.2063, loss_mask: 0.2099, loss: 0.6282 +2022-09-23 02:08:01,858 - mmdet - INFO - Epoch [26][650/7330] lr: 1.000e-04, eta: 10:04:46, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0300, loss_cls: 0.1524, acc: 94.4351, loss_bbox: 0.1968, loss_mask: 0.2108, loss: 0.6102 +2022-09-23 02:08:23,698 - mmdet - INFO - Epoch [26][700/7330] lr: 1.000e-04, eta: 10:04:23, time: 0.437, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0302, loss_cls: 0.1525, acc: 94.4451, loss_bbox: 0.1974, loss_mask: 0.2047, loss: 0.6030 +2022-09-23 02:08:45,916 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:08:45,920 - mmdet - INFO - Epoch [26][750/7330] lr: 1.000e-04, eta: 10:04:00, time: 0.444, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0315, loss_cls: 0.1567, acc: 94.2656, loss_bbox: 0.2038, loss_mask: 0.2075, loss: 0.6196 +2022-09-23 02:09:08,110 - mmdet - INFO - Epoch [26][800/7330] lr: 1.000e-04, eta: 10:03:37, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0319, loss_cls: 0.1669, acc: 93.9441, loss_bbox: 0.2095, loss_mask: 0.2129, loss: 0.6439 +2022-09-23 02:09:29,787 - mmdet - INFO - Epoch [26][850/7330] lr: 1.000e-04, eta: 10:03:14, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0298, loss_cls: 0.1583, acc: 94.3235, loss_bbox: 0.2000, loss_mask: 0.2079, loss: 0.6168 +2022-09-23 02:09:51,776 - mmdet - INFO - Epoch [26][900/7330] lr: 1.000e-04, eta: 10:02:51, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0304, loss_cls: 0.1528, acc: 94.3232, loss_bbox: 0.2027, loss_mask: 0.2055, loss: 0.6120 +2022-09-23 02:10:13,363 - mmdet - INFO - Epoch [26][950/7330] lr: 1.000e-04, eta: 10:02:27, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0283, loss_cls: 0.1511, acc: 94.5264, loss_bbox: 0.1939, loss_mask: 0.2062, loss: 0.5987 +2022-09-23 02:10:35,143 - mmdet - INFO - Epoch [26][1000/7330] lr: 1.000e-04, eta: 10:02:04, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0324, loss_cls: 0.1661, acc: 93.9438, loss_bbox: 0.2124, loss_mask: 0.2180, loss: 0.6537 +2022-09-23 02:10:57,550 - mmdet - INFO - Epoch [26][1050/7330] lr: 1.000e-04, eta: 10:01:41, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0315, loss_cls: 0.1440, acc: 94.6001, loss_bbox: 0.1976, loss_mask: 0.2068, loss: 0.5992 +2022-09-23 02:11:19,937 - mmdet - INFO - Epoch [26][1100/7330] lr: 1.000e-04, eta: 10:01:18, time: 0.449, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0303, loss_cls: 0.1546, acc: 94.3105, loss_bbox: 0.1989, loss_mask: 0.2087, loss: 0.6131 +2022-09-23 02:11:41,986 - mmdet - INFO - Epoch [26][1150/7330] lr: 1.000e-04, eta: 10:00:55, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0312, loss_cls: 0.1576, acc: 94.2266, loss_bbox: 0.2040, loss_mask: 0.2120, loss: 0.6257 +2022-09-23 02:12:03,863 - mmdet - INFO - Epoch [26][1200/7330] lr: 1.000e-04, eta: 10:00:32, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0313, loss_cls: 0.1530, acc: 94.3501, loss_bbox: 0.1973, loss_mask: 0.2109, loss: 0.6128 +2022-09-23 02:12:25,806 - mmdet - INFO - Epoch [26][1250/7330] lr: 1.000e-04, eta: 10:00:09, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0302, loss_cls: 0.1532, acc: 94.3123, loss_bbox: 0.2000, loss_mask: 0.2053, loss: 0.6100 +2022-09-23 02:12:47,842 - mmdet - INFO - Epoch [26][1300/7330] lr: 1.000e-04, eta: 9:59:46, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0301, loss_cls: 0.1506, acc: 94.4048, loss_bbox: 0.1975, loss_mask: 0.2019, loss: 0.6004 +2022-09-23 02:13:10,118 - mmdet - INFO - Epoch [26][1350/7330] lr: 1.000e-04, eta: 9:59:23, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0312, loss_cls: 0.1598, acc: 94.1255, loss_bbox: 0.1998, loss_mask: 0.2080, loss: 0.6201 +2022-09-23 02:13:32,172 - mmdet - INFO - Epoch [26][1400/7330] lr: 1.000e-04, eta: 9:59:00, time: 0.441, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0312, loss_cls: 0.1573, acc: 94.1907, loss_bbox: 0.2052, loss_mask: 0.2129, loss: 0.6265 +2022-09-23 02:13:54,308 - mmdet - INFO - Epoch [26][1450/7330] lr: 1.000e-04, eta: 9:58:37, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0291, loss_cls: 0.1520, acc: 94.4211, loss_bbox: 0.1919, loss_mask: 0.2099, loss: 0.6026 +2022-09-23 02:14:16,112 - mmdet - INFO - Epoch [26][1500/7330] lr: 1.000e-04, eta: 9:58:13, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0294, loss_cls: 0.1431, acc: 94.7000, loss_bbox: 0.1956, loss_mask: 0.2056, loss: 0.5915 +2022-09-23 02:14:38,311 - mmdet - INFO - Epoch [26][1550/7330] lr: 1.000e-04, eta: 9:57:50, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0317, loss_cls: 0.1622, acc: 93.9851, loss_bbox: 0.2137, loss_mask: 0.2157, loss: 0.6438 +2022-09-23 02:15:00,615 - mmdet - INFO - Epoch [26][1600/7330] lr: 1.000e-04, eta: 9:57:28, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0304, loss_cls: 0.1595, acc: 94.0500, loss_bbox: 0.2049, loss_mask: 0.2125, loss: 0.6267 +2022-09-23 02:15:22,187 - mmdet - INFO - Epoch [26][1650/7330] lr: 1.000e-04, eta: 9:57:04, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0313, loss_cls: 0.1567, acc: 94.3137, loss_bbox: 0.1996, loss_mask: 0.2085, loss: 0.6164 +2022-09-23 02:15:44,081 - mmdet - INFO - Epoch [26][1700/7330] lr: 1.000e-04, eta: 9:56:41, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0272, loss_cls: 0.1480, acc: 94.5215, loss_bbox: 0.1903, loss_mask: 0.2040, loss: 0.5877 +2022-09-23 02:16:05,529 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:16:05,538 - mmdet - INFO - Epoch [26][1750/7330] lr: 1.000e-04, eta: 9:56:18, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0303, loss_cls: 0.1544, acc: 94.3906, loss_bbox: 0.1934, loss_mask: 0.2042, loss: 0.6039 +2022-09-23 02:16:27,182 - mmdet - INFO - Epoch [26][1800/7330] lr: 1.000e-04, eta: 9:55:54, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0309, loss_cls: 0.1518, acc: 94.5225, loss_bbox: 0.1903, loss_mask: 0.2114, loss: 0.6058 +2022-09-23 02:16:49,542 - mmdet - INFO - Epoch [26][1850/7330] lr: 1.000e-04, eta: 9:55:31, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0300, loss_cls: 0.1563, acc: 94.3123, loss_bbox: 0.1980, loss_mask: 0.2070, loss: 0.6129 +2022-09-23 02:17:11,591 - mmdet - INFO - Epoch [26][1900/7330] lr: 1.000e-04, eta: 9:55:08, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0300, loss_cls: 0.1476, acc: 94.5132, loss_bbox: 0.1956, loss_mask: 0.2001, loss: 0.5936 +2022-09-23 02:17:33,251 - mmdet - INFO - Epoch [26][1950/7330] lr: 1.000e-04, eta: 9:54:45, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0307, loss_cls: 0.1521, acc: 94.3689, loss_bbox: 0.1933, loss_mask: 0.2079, loss: 0.6049 +2022-09-23 02:17:55,085 - mmdet - INFO - Epoch [26][2000/7330] lr: 1.000e-04, eta: 9:54:22, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0289, loss_cls: 0.1524, acc: 94.3960, loss_bbox: 0.1959, loss_mask: 0.2060, loss: 0.6036 +2022-09-23 02:18:16,747 - mmdet - INFO - Epoch [26][2050/7330] lr: 1.000e-04, eta: 9:53:58, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0279, loss_cls: 0.1454, acc: 94.6226, loss_bbox: 0.1924, loss_mask: 0.2043, loss: 0.5889 +2022-09-23 02:18:39,198 - mmdet - INFO - Epoch [26][2100/7330] lr: 1.000e-04, eta: 9:53:36, time: 0.449, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0280, loss_cls: 0.1488, acc: 94.5720, loss_bbox: 0.1930, loss_mask: 0.2054, loss: 0.5946 +2022-09-23 02:19:00,954 - mmdet - INFO - Epoch [26][2150/7330] lr: 1.000e-04, eta: 9:53:12, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0305, loss_cls: 0.1487, acc: 94.5520, loss_bbox: 0.1918, loss_mask: 0.2044, loss: 0.5951 +2022-09-23 02:19:22,981 - mmdet - INFO - Epoch [26][2200/7330] lr: 1.000e-04, eta: 9:52:49, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0296, loss_cls: 0.1326, acc: 95.1311, loss_bbox: 0.1779, loss_mask: 0.2029, loss: 0.5620 +2022-09-23 02:19:44,450 - mmdet - INFO - Epoch [26][2250/7330] lr: 1.000e-04, eta: 9:52:26, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0315, loss_cls: 0.1472, acc: 94.5505, loss_bbox: 0.1912, loss_mask: 0.2077, loss: 0.5979 +2022-09-23 02:20:06,039 - mmdet - INFO - Epoch [26][2300/7330] lr: 1.000e-04, eta: 9:52:03, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0298, loss_cls: 0.1479, acc: 94.4978, loss_bbox: 0.1917, loss_mask: 0.2031, loss: 0.5933 +2022-09-23 02:20:27,949 - mmdet - INFO - Epoch [26][2350/7330] lr: 1.000e-04, eta: 9:51:39, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0311, loss_cls: 0.1562, acc: 94.3271, loss_bbox: 0.1994, loss_mask: 0.2081, loss: 0.6158 +2022-09-23 02:20:50,101 - mmdet - INFO - Epoch [26][2400/7330] lr: 1.000e-04, eta: 9:51:16, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0308, loss_cls: 0.1565, acc: 94.2358, loss_bbox: 0.2003, loss_mask: 0.2091, loss: 0.6181 +2022-09-23 02:21:12,049 - mmdet - INFO - Epoch [26][2450/7330] lr: 1.000e-04, eta: 9:50:53, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0313, loss_cls: 0.1541, acc: 94.3381, loss_bbox: 0.1987, loss_mask: 0.2078, loss: 0.6132 +2022-09-23 02:21:33,880 - mmdet - INFO - Epoch [26][2500/7330] lr: 1.000e-04, eta: 9:50:30, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0284, loss_cls: 0.1448, acc: 94.5762, loss_bbox: 0.1883, loss_mask: 0.1977, loss: 0.5761 +2022-09-23 02:21:56,068 - mmdet - INFO - Epoch [26][2550/7330] lr: 1.000e-04, eta: 9:50:07, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0317, loss_cls: 0.1568, acc: 94.2039, loss_bbox: 0.2026, loss_mask: 0.2091, loss: 0.6207 +2022-09-23 02:22:18,009 - mmdet - INFO - Epoch [26][2600/7330] lr: 1.000e-04, eta: 9:49:44, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0308, loss_cls: 0.1479, acc: 94.5535, loss_bbox: 0.2004, loss_mask: 0.2135, loss: 0.6128 +2022-09-23 02:22:40,185 - mmdet - INFO - Epoch [26][2650/7330] lr: 1.000e-04, eta: 9:49:21, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0301, loss_cls: 0.1499, acc: 94.4434, loss_bbox: 0.1939, loss_mask: 0.2114, loss: 0.6082 +2022-09-23 02:23:01,772 - mmdet - INFO - Epoch [26][2700/7330] lr: 1.000e-04, eta: 9:48:58, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0294, loss_cls: 0.1532, acc: 94.2808, loss_bbox: 0.1968, loss_mask: 0.2076, loss: 0.6062 +2022-09-23 02:23:23,285 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:23:23,291 - mmdet - INFO - Epoch [26][2750/7330] lr: 1.000e-04, eta: 9:48:34, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0301, loss_cls: 0.1537, acc: 94.3706, loss_bbox: 0.1990, loss_mask: 0.2053, loss: 0.6086 +2022-09-23 02:23:44,900 - mmdet - INFO - Epoch [26][2800/7330] lr: 1.000e-04, eta: 9:48:11, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0292, loss_cls: 0.1549, acc: 94.2791, loss_bbox: 0.2033, loss_mask: 0.2158, loss: 0.6228 +2022-09-23 02:24:06,742 - mmdet - INFO - Epoch [26][2850/7330] lr: 1.000e-04, eta: 9:47:48, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0280, loss_cls: 0.1521, acc: 94.3918, loss_bbox: 0.1915, loss_mask: 0.2061, loss: 0.5978 +2022-09-23 02:24:28,550 - mmdet - INFO - Epoch [26][2900/7330] lr: 1.000e-04, eta: 9:47:25, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0310, loss_cls: 0.1464, acc: 94.6941, loss_bbox: 0.1939, loss_mask: 0.2079, loss: 0.5992 +2022-09-23 02:24:50,604 - mmdet - INFO - Epoch [26][2950/7330] lr: 1.000e-04, eta: 9:47:02, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0288, loss_cls: 0.1438, acc: 94.7305, loss_bbox: 0.1888, loss_mask: 0.2041, loss: 0.5856 +2022-09-23 02:25:12,851 - mmdet - INFO - Epoch [26][3000/7330] lr: 1.000e-04, eta: 9:46:39, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0294, loss_cls: 0.1520, acc: 94.4663, loss_bbox: 0.1965, loss_mask: 0.2063, loss: 0.6027 +2022-09-23 02:25:34,581 - mmdet - INFO - Epoch [26][3050/7330] lr: 1.000e-04, eta: 9:46:15, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0279, loss_cls: 0.1541, acc: 94.3491, loss_bbox: 0.1974, loss_mask: 0.2061, loss: 0.6030 +2022-09-23 02:25:56,227 - mmdet - INFO - Epoch [26][3100/7330] lr: 1.000e-04, eta: 9:45:52, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0305, loss_cls: 0.1541, acc: 94.2800, loss_bbox: 0.1999, loss_mask: 0.2076, loss: 0.6128 +2022-09-23 02:26:17,885 - mmdet - INFO - Epoch [26][3150/7330] lr: 1.000e-04, eta: 9:45:29, time: 0.433, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0298, loss_cls: 0.1563, acc: 94.2173, loss_bbox: 0.2059, loss_mask: 0.2144, loss: 0.6294 +2022-09-23 02:26:39,607 - mmdet - INFO - Epoch [26][3200/7330] lr: 1.000e-04, eta: 9:45:06, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0312, loss_cls: 0.1607, acc: 94.1851, loss_bbox: 0.2106, loss_mask: 0.2133, loss: 0.6378 +2022-09-23 02:27:01,594 - mmdet - INFO - Epoch [26][3250/7330] lr: 1.000e-04, eta: 9:44:42, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0302, loss_cls: 0.1570, acc: 94.2563, loss_bbox: 0.1978, loss_mask: 0.2056, loss: 0.6113 +2022-09-23 02:27:23,379 - mmdet - INFO - Epoch [26][3300/7330] lr: 1.000e-04, eta: 9:44:19, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0313, loss_cls: 0.1596, acc: 94.2319, loss_bbox: 0.2072, loss_mask: 0.2136, loss: 0.6331 +2022-09-23 02:27:45,320 - mmdet - INFO - Epoch [26][3350/7330] lr: 1.000e-04, eta: 9:43:56, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0302, loss_cls: 0.1511, acc: 94.5081, loss_bbox: 0.1920, loss_mask: 0.2113, loss: 0.6067 +2022-09-23 02:28:06,700 - mmdet - INFO - Epoch [26][3400/7330] lr: 1.000e-04, eta: 9:43:33, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0306, loss_cls: 0.1563, acc: 94.1550, loss_bbox: 0.2019, loss_mask: 0.2077, loss: 0.6177 +2022-09-23 02:28:28,432 - mmdet - INFO - Epoch [26][3450/7330] lr: 1.000e-04, eta: 9:43:10, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0292, loss_cls: 0.1552, acc: 94.4919, loss_bbox: 0.1929, loss_mask: 0.2043, loss: 0.6039 +2022-09-23 02:28:50,094 - mmdet - INFO - Epoch [26][3500/7330] lr: 1.000e-04, eta: 9:42:46, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0318, loss_cls: 0.1550, acc: 94.3687, loss_bbox: 0.1996, loss_mask: 0.2150, loss: 0.6237 +2022-09-23 02:29:11,815 - mmdet - INFO - Epoch [26][3550/7330] lr: 1.000e-04, eta: 9:42:23, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0300, loss_cls: 0.1439, acc: 94.6509, loss_bbox: 0.1925, loss_mask: 0.2078, loss: 0.5940 +2022-09-23 02:29:33,490 - mmdet - INFO - Epoch [26][3600/7330] lr: 1.000e-04, eta: 9:42:00, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0314, loss_cls: 0.1580, acc: 94.2517, loss_bbox: 0.1999, loss_mask: 0.2108, loss: 0.6226 +2022-09-23 02:29:55,443 - mmdet - INFO - Epoch [26][3650/7330] lr: 1.000e-04, eta: 9:41:37, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0299, loss_cls: 0.1587, acc: 94.2361, loss_bbox: 0.2003, loss_mask: 0.2113, loss: 0.6204 +2022-09-23 02:30:17,959 - mmdet - INFO - Epoch [26][3700/7330] lr: 1.000e-04, eta: 9:41:14, time: 0.450, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0294, loss_cls: 0.1507, acc: 94.4216, loss_bbox: 0.1939, loss_mask: 0.2047, loss: 0.5978 +2022-09-23 02:30:40,238 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:30:40,241 - mmdet - INFO - Epoch [26][3750/7330] lr: 1.000e-04, eta: 9:40:51, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0296, loss_cls: 0.1522, acc: 94.4331, loss_bbox: 0.1935, loss_mask: 0.2055, loss: 0.6019 +2022-09-23 02:31:02,882 - mmdet - INFO - Epoch [26][3800/7330] lr: 1.000e-04, eta: 9:40:28, time: 0.453, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0331, loss_cls: 0.1527, acc: 94.3059, loss_bbox: 0.2012, loss_mask: 0.2168, loss: 0.6247 +2022-09-23 02:31:24,712 - mmdet - INFO - Epoch [26][3850/7330] lr: 1.000e-04, eta: 9:40:05, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0287, loss_cls: 0.1451, acc: 94.6387, loss_bbox: 0.1941, loss_mask: 0.2062, loss: 0.5934 +2022-09-23 02:31:46,021 - mmdet - INFO - Epoch [26][3900/7330] lr: 1.000e-04, eta: 9:39:42, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0278, loss_cls: 0.1541, acc: 94.4028, loss_bbox: 0.1957, loss_mask: 0.2073, loss: 0.6046 +2022-09-23 02:32:08,108 - mmdet - INFO - Epoch [26][3950/7330] lr: 1.000e-04, eta: 9:39:19, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0295, loss_cls: 0.1448, acc: 94.6592, loss_bbox: 0.1896, loss_mask: 0.2058, loss: 0.5896 +2022-09-23 02:32:30,311 - mmdet - INFO - Epoch [26][4000/7330] lr: 1.000e-04, eta: 9:38:56, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0292, loss_cls: 0.1501, acc: 94.5339, loss_bbox: 0.1929, loss_mask: 0.2090, loss: 0.6008 +2022-09-23 02:32:52,532 - mmdet - INFO - Epoch [26][4050/7330] lr: 1.000e-04, eta: 9:38:33, time: 0.444, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0317, loss_cls: 0.1522, acc: 94.4460, loss_bbox: 0.1959, loss_mask: 0.2124, loss: 0.6134 +2022-09-23 02:33:14,389 - mmdet - INFO - Epoch [26][4100/7330] lr: 1.000e-04, eta: 9:38:10, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0286, loss_cls: 0.1561, acc: 94.3479, loss_bbox: 0.1972, loss_mask: 0.2088, loss: 0.6096 +2022-09-23 02:33:36,446 - mmdet - INFO - Epoch [26][4150/7330] lr: 1.000e-04, eta: 9:37:47, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0317, loss_cls: 0.1581, acc: 94.2397, loss_bbox: 0.1979, loss_mask: 0.2102, loss: 0.6197 +2022-09-23 02:33:58,382 - mmdet - INFO - Epoch [26][4200/7330] lr: 1.000e-04, eta: 9:37:24, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0311, loss_cls: 0.1561, acc: 94.2493, loss_bbox: 0.2024, loss_mask: 0.2167, loss: 0.6267 +2022-09-23 02:34:20,295 - mmdet - INFO - Epoch [26][4250/7330] lr: 1.000e-04, eta: 9:37:00, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0324, loss_cls: 0.1595, acc: 94.0962, loss_bbox: 0.2058, loss_mask: 0.2070, loss: 0.6249 +2022-09-23 02:34:42,213 - mmdet - INFO - Epoch [26][4300/7330] lr: 1.000e-04, eta: 9:36:37, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0318, loss_cls: 0.1605, acc: 93.9827, loss_bbox: 0.2076, loss_mask: 0.2127, loss: 0.6328 +2022-09-23 02:35:03,913 - mmdet - INFO - Epoch [26][4350/7330] lr: 1.000e-04, eta: 9:36:14, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0317, loss_cls: 0.1652, acc: 93.9736, loss_bbox: 0.2074, loss_mask: 0.2125, loss: 0.6377 +2022-09-23 02:35:25,909 - mmdet - INFO - Epoch [26][4400/7330] lr: 1.000e-04, eta: 9:35:51, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0301, loss_cls: 0.1543, acc: 94.3799, loss_bbox: 0.1929, loss_mask: 0.2003, loss: 0.5985 +2022-09-23 02:35:47,383 - mmdet - INFO - Epoch [26][4450/7330] lr: 1.000e-04, eta: 9:35:28, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0294, loss_cls: 0.1593, acc: 94.2283, loss_bbox: 0.1969, loss_mask: 0.2054, loss: 0.6112 +2022-09-23 02:36:09,156 - mmdet - INFO - Epoch [26][4500/7330] lr: 1.000e-04, eta: 9:35:04, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0276, loss_cls: 0.1482, acc: 94.6523, loss_bbox: 0.1871, loss_mask: 0.2050, loss: 0.5893 +2022-09-23 02:36:31,558 - mmdet - INFO - Epoch [26][4550/7330] lr: 1.000e-04, eta: 9:34:42, time: 0.447, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0286, loss_cls: 0.1576, acc: 94.2915, loss_bbox: 0.1962, loss_mask: 0.2046, loss: 0.6061 +2022-09-23 02:36:53,255 - mmdet - INFO - Epoch [26][4600/7330] lr: 1.000e-04, eta: 9:34:18, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0305, loss_cls: 0.1553, acc: 94.3184, loss_bbox: 0.2003, loss_mask: 0.2097, loss: 0.6166 +2022-09-23 02:37:15,584 - mmdet - INFO - Epoch [26][4650/7330] lr: 1.000e-04, eta: 9:33:56, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0287, loss_cls: 0.1485, acc: 94.5806, loss_bbox: 0.1949, loss_mask: 0.2025, loss: 0.5949 +2022-09-23 02:37:37,556 - mmdet - INFO - Epoch [26][4700/7330] lr: 1.000e-04, eta: 9:33:32, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0307, loss_cls: 0.1506, acc: 94.4458, loss_bbox: 0.1944, loss_mask: 0.2083, loss: 0.6048 +2022-09-23 02:37:59,026 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:37:59,026 - mmdet - INFO - Epoch [26][4750/7330] lr: 1.000e-04, eta: 9:33:09, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0309, loss_cls: 0.1601, acc: 94.1633, loss_bbox: 0.2038, loss_mask: 0.2049, loss: 0.6208 +2022-09-23 02:38:20,941 - mmdet - INFO - Epoch [26][4800/7330] lr: 1.000e-04, eta: 9:32:46, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0327, loss_cls: 0.1597, acc: 94.1372, loss_bbox: 0.2021, loss_mask: 0.2094, loss: 0.6270 +2022-09-23 02:38:42,800 - mmdet - INFO - Epoch [26][4850/7330] lr: 1.000e-04, eta: 9:32:23, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0307, loss_cls: 0.1516, acc: 94.4355, loss_bbox: 0.1974, loss_mask: 0.2124, loss: 0.6143 +2022-09-23 02:39:04,332 - mmdet - INFO - Epoch [26][4900/7330] lr: 1.000e-04, eta: 9:32:00, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0292, loss_cls: 0.1535, acc: 94.4143, loss_bbox: 0.1955, loss_mask: 0.2075, loss: 0.6059 +2022-09-23 02:39:26,087 - mmdet - INFO - Epoch [26][4950/7330] lr: 1.000e-04, eta: 9:31:36, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0294, loss_cls: 0.1473, acc: 94.6089, loss_bbox: 0.1907, loss_mask: 0.2020, loss: 0.5885 +2022-09-23 02:39:47,692 - mmdet - INFO - Epoch [26][5000/7330] lr: 1.000e-04, eta: 9:31:13, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0289, loss_cls: 0.1487, acc: 94.6067, loss_bbox: 0.1979, loss_mask: 0.2040, loss: 0.5975 +2022-09-23 02:40:09,758 - mmdet - INFO - Epoch [26][5050/7330] lr: 1.000e-04, eta: 9:30:50, time: 0.441, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0307, loss_cls: 0.1483, acc: 94.4492, loss_bbox: 0.1965, loss_mask: 0.2026, loss: 0.5958 +2022-09-23 02:40:31,630 - mmdet - INFO - Epoch [26][5100/7330] lr: 1.000e-04, eta: 9:30:27, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0302, loss_cls: 0.1570, acc: 94.2837, loss_bbox: 0.2028, loss_mask: 0.2131, loss: 0.6245 +2022-09-23 02:40:53,896 - mmdet - INFO - Epoch [26][5150/7330] lr: 1.000e-04, eta: 9:30:04, time: 0.446, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0305, loss_cls: 0.1595, acc: 94.1167, loss_bbox: 0.2039, loss_mask: 0.2108, loss: 0.6252 +2022-09-23 02:41:15,459 - mmdet - INFO - Epoch [26][5200/7330] lr: 1.000e-04, eta: 9:29:41, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0283, loss_cls: 0.1503, acc: 94.4941, loss_bbox: 0.1967, loss_mask: 0.2075, loss: 0.6034 +2022-09-23 02:41:37,053 - mmdet - INFO - Epoch [26][5250/7330] lr: 1.000e-04, eta: 9:29:18, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0296, loss_cls: 0.1475, acc: 94.5862, loss_bbox: 0.1929, loss_mask: 0.2066, loss: 0.5974 +2022-09-23 02:41:58,766 - mmdet - INFO - Epoch [26][5300/7330] lr: 1.000e-04, eta: 9:28:54, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0288, loss_cls: 0.1448, acc: 94.6936, loss_bbox: 0.1912, loss_mask: 0.2068, loss: 0.5905 +2022-09-23 02:42:20,982 - mmdet - INFO - Epoch [26][5350/7330] lr: 1.000e-04, eta: 9:28:31, time: 0.445, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0306, loss_cls: 0.1523, acc: 94.5449, loss_bbox: 0.1912, loss_mask: 0.2060, loss: 0.6011 +2022-09-23 02:42:43,025 - mmdet - INFO - Epoch [26][5400/7330] lr: 1.000e-04, eta: 9:28:08, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0304, loss_cls: 0.1523, acc: 94.3699, loss_bbox: 0.1966, loss_mask: 0.2068, loss: 0.6063 +2022-09-23 02:43:05,245 - mmdet - INFO - Epoch [26][5450/7330] lr: 1.000e-04, eta: 9:27:45, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0313, loss_cls: 0.1574, acc: 94.1216, loss_bbox: 0.2020, loss_mask: 0.2080, loss: 0.6198 +2022-09-23 02:43:27,012 - mmdet - INFO - Epoch [26][5500/7330] lr: 1.000e-04, eta: 9:27:22, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0298, loss_cls: 0.1536, acc: 94.2502, loss_bbox: 0.2000, loss_mask: 0.2081, loss: 0.6109 +2022-09-23 02:43:48,444 - mmdet - INFO - Epoch [26][5550/7330] lr: 1.000e-04, eta: 9:26:59, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0324, loss_cls: 0.1589, acc: 94.2546, loss_bbox: 0.2027, loss_mask: 0.2110, loss: 0.6306 +2022-09-23 02:44:10,012 - mmdet - INFO - Epoch [26][5600/7330] lr: 1.000e-04, eta: 9:26:36, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0317, loss_cls: 0.1577, acc: 94.1267, loss_bbox: 0.2002, loss_mask: 0.2118, loss: 0.6236 +2022-09-23 02:44:31,738 - mmdet - INFO - Epoch [26][5650/7330] lr: 1.000e-04, eta: 9:26:12, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0285, loss_cls: 0.1505, acc: 94.4663, loss_bbox: 0.1944, loss_mask: 0.2043, loss: 0.5975 +2022-09-23 02:44:53,375 - mmdet - INFO - Epoch [26][5700/7330] lr: 1.000e-04, eta: 9:25:49, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0315, loss_cls: 0.1570, acc: 94.2512, loss_bbox: 0.2016, loss_mask: 0.2092, loss: 0.6193 +2022-09-23 02:45:15,721 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:45:15,728 - mmdet - INFO - Epoch [26][5750/7330] lr: 1.000e-04, eta: 9:25:26, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0316, loss_cls: 0.1608, acc: 94.0217, loss_bbox: 0.2005, loss_mask: 0.2096, loss: 0.6229 +2022-09-23 02:45:37,414 - mmdet - INFO - Epoch [26][5800/7330] lr: 1.000e-04, eta: 9:25:03, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0321, loss_cls: 0.1597, acc: 94.0623, loss_bbox: 0.2093, loss_mask: 0.2091, loss: 0.6318 +2022-09-23 02:45:59,711 - mmdet - INFO - Epoch [26][5850/7330] lr: 1.000e-04, eta: 9:24:40, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0310, loss_cls: 0.1540, acc: 94.4004, loss_bbox: 0.1968, loss_mask: 0.2065, loss: 0.6105 +2022-09-23 02:46:21,688 - mmdet - INFO - Epoch [26][5900/7330] lr: 1.000e-04, eta: 9:24:17, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1524, acc: 94.2644, loss_bbox: 0.1996, loss_mask: 0.2141, loss: 0.6192 +2022-09-23 02:46:43,660 - mmdet - INFO - Epoch [26][5950/7330] lr: 1.000e-04, eta: 9:23:54, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0313, loss_cls: 0.1581, acc: 94.0669, loss_bbox: 0.2045, loss_mask: 0.2061, loss: 0.6196 +2022-09-23 02:47:05,794 - mmdet - INFO - Epoch [26][6000/7330] lr: 1.000e-04, eta: 9:23:31, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0295, loss_cls: 0.1567, acc: 94.1621, loss_bbox: 0.2007, loss_mask: 0.2073, loss: 0.6128 +2022-09-23 02:47:27,412 - mmdet - INFO - Epoch [26][6050/7330] lr: 1.000e-04, eta: 9:23:08, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0307, loss_cls: 0.1557, acc: 94.3330, loss_bbox: 0.1960, loss_mask: 0.2017, loss: 0.6042 +2022-09-23 02:47:49,725 - mmdet - INFO - Epoch [26][6100/7330] lr: 1.000e-04, eta: 9:22:45, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0299, loss_cls: 0.1493, acc: 94.4998, loss_bbox: 0.1919, loss_mask: 0.1973, loss: 0.5896 +2022-09-23 02:48:11,549 - mmdet - INFO - Epoch [26][6150/7330] lr: 1.000e-04, eta: 9:22:22, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0305, loss_cls: 0.1454, acc: 94.6489, loss_bbox: 0.1876, loss_mask: 0.2017, loss: 0.5881 +2022-09-23 02:48:33,834 - mmdet - INFO - Epoch [26][6200/7330] lr: 1.000e-04, eta: 9:21:59, time: 0.446, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0298, loss_cls: 0.1547, acc: 94.4265, loss_bbox: 0.1979, loss_mask: 0.2084, loss: 0.6131 +2022-09-23 02:48:55,975 - mmdet - INFO - Epoch [26][6250/7330] lr: 1.000e-04, eta: 9:21:36, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0315, loss_cls: 0.1551, acc: 94.3098, loss_bbox: 0.1997, loss_mask: 0.2082, loss: 0.6147 +2022-09-23 02:49:18,265 - mmdet - INFO - Epoch [26][6300/7330] lr: 1.000e-04, eta: 9:21:13, time: 0.446, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0316, loss_cls: 0.1574, acc: 94.1648, loss_bbox: 0.2017, loss_mask: 0.2122, loss: 0.6243 +2022-09-23 02:49:40,635 - mmdet - INFO - Epoch [26][6350/7330] lr: 1.000e-04, eta: 9:20:51, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0279, loss_cls: 0.1507, acc: 94.6426, loss_bbox: 0.1893, loss_mask: 0.1981, loss: 0.5860 +2022-09-23 02:50:02,649 - mmdet - INFO - Epoch [26][6400/7330] lr: 1.000e-04, eta: 9:20:28, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0294, loss_cls: 0.1545, acc: 94.3699, loss_bbox: 0.2005, loss_mask: 0.2120, loss: 0.6159 +2022-09-23 02:50:24,568 - mmdet - INFO - Epoch [26][6450/7330] lr: 1.000e-04, eta: 9:20:05, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0294, loss_cls: 0.1519, acc: 94.4343, loss_bbox: 0.1927, loss_mask: 0.2065, loss: 0.6016 +2022-09-23 02:50:46,794 - mmdet - INFO - Epoch [26][6500/7330] lr: 1.000e-04, eta: 9:19:42, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0320, loss_cls: 0.1575, acc: 94.2463, loss_bbox: 0.1956, loss_mask: 0.2031, loss: 0.6110 +2022-09-23 02:51:08,648 - mmdet - INFO - Epoch [26][6550/7330] lr: 1.000e-04, eta: 9:19:19, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0297, loss_cls: 0.1534, acc: 94.4341, loss_bbox: 0.1978, loss_mask: 0.2071, loss: 0.6098 +2022-09-23 02:51:30,246 - mmdet - INFO - Epoch [26][6600/7330] lr: 1.000e-04, eta: 9:18:55, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0299, loss_cls: 0.1542, acc: 94.4282, loss_bbox: 0.1948, loss_mask: 0.2025, loss: 0.6031 +2022-09-23 02:51:52,421 - mmdet - INFO - Epoch [26][6650/7330] lr: 1.000e-04, eta: 9:18:32, time: 0.443, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0317, loss_cls: 0.1552, acc: 94.2275, loss_bbox: 0.2064, loss_mask: 0.2141, loss: 0.6274 +2022-09-23 02:52:14,108 - mmdet - INFO - Epoch [26][6700/7330] lr: 1.000e-04, eta: 9:18:09, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0319, loss_cls: 0.1466, acc: 94.6050, loss_bbox: 0.1941, loss_mask: 0.2066, loss: 0.6022 +2022-09-23 02:52:35,506 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 02:52:35,514 - mmdet - INFO - Epoch [26][6750/7330] lr: 1.000e-04, eta: 9:17:46, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0288, loss_cls: 0.1317, acc: 95.1582, loss_bbox: 0.1753, loss_mask: 0.2007, loss: 0.5554 +2022-09-23 02:52:57,743 - mmdet - INFO - Epoch [26][6800/7330] lr: 1.000e-04, eta: 9:17:23, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0299, loss_cls: 0.1467, acc: 94.6138, loss_bbox: 0.1896, loss_mask: 0.2036, loss: 0.5897 +2022-09-23 02:53:19,754 - mmdet - INFO - Epoch [26][6850/7330] lr: 1.000e-04, eta: 9:17:00, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0299, loss_cls: 0.1447, acc: 94.6208, loss_bbox: 0.1888, loss_mask: 0.2052, loss: 0.5879 +2022-09-23 02:53:41,783 - mmdet - INFO - Epoch [26][6900/7330] lr: 1.000e-04, eta: 9:16:37, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0310, loss_cls: 0.1559, acc: 94.3191, loss_bbox: 0.1985, loss_mask: 0.2110, loss: 0.6185 +2022-09-23 02:54:03,500 - mmdet - INFO - Epoch [26][6950/7330] lr: 1.000e-04, eta: 9:16:14, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0316, loss_cls: 0.1559, acc: 94.3777, loss_bbox: 0.1983, loss_mask: 0.2145, loss: 0.6214 +2022-09-23 02:54:25,309 - mmdet - INFO - Epoch [26][7000/7330] lr: 1.000e-04, eta: 9:15:51, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0317, loss_cls: 0.1540, acc: 94.3713, loss_bbox: 0.1937, loss_mask: 0.2086, loss: 0.6077 +2022-09-23 02:54:47,113 - mmdet - INFO - Epoch [26][7050/7330] lr: 1.000e-04, eta: 9:15:28, time: 0.436, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0316, loss_cls: 0.1606, acc: 94.0542, loss_bbox: 0.2051, loss_mask: 0.2142, loss: 0.6334 +2022-09-23 02:55:08,895 - mmdet - INFO - Epoch [26][7100/7330] lr: 1.000e-04, eta: 9:15:04, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0303, loss_cls: 0.1473, acc: 94.4993, loss_bbox: 0.1961, loss_mask: 0.2086, loss: 0.6022 +2022-09-23 02:55:31,058 - mmdet - INFO - Epoch [26][7150/7330] lr: 1.000e-04, eta: 9:14:42, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0305, loss_cls: 0.1520, acc: 94.4543, loss_bbox: 0.1957, loss_mask: 0.2069, loss: 0.6075 +2022-09-23 02:55:52,808 - mmdet - INFO - Epoch [26][7200/7330] lr: 1.000e-04, eta: 9:14:18, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0307, loss_cls: 0.1449, acc: 94.6333, loss_bbox: 0.1932, loss_mask: 0.2061, loss: 0.5940 +2022-09-23 02:56:15,183 - mmdet - INFO - Epoch [26][7250/7330] lr: 1.000e-04, eta: 9:13:56, time: 0.448, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0306, loss_cls: 0.1560, acc: 94.2363, loss_bbox: 0.1970, loss_mask: 0.2119, loss: 0.6163 +2022-09-23 02:56:37,085 - mmdet - INFO - Epoch [26][7300/7330] lr: 1.000e-04, eta: 9:13:33, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1552, acc: 94.3379, loss_bbox: 0.1963, loss_mask: 0.2066, loss: 0.6051 +2022-09-23 02:56:59,756 - mmdet - INFO - Saving checkpoint at 26 epochs +2022-09-23 02:59:18,734 - mmdet - INFO - Evaluating bbox... +2022-09-23 02:59:47,611 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.491 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.710 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.540 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.341 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.528 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.622 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.615 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.615 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.615 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.453 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.653 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.743 + +2022-09-23 02:59:47,611 - mmdet - INFO - Evaluating segm... +2022-09-23 03:00:17,361 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.437 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.682 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.472 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.256 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.472 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.615 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.555 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.390 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.593 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.702 + +2022-09-23 03:00:17,937 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 03:00:17,939 - mmdet - INFO - Epoch(val) [26][625] bbox_mAP: 0.4910, bbox_mAP_50: 0.7100, bbox_mAP_75: 0.5400, bbox_mAP_s: 0.3410, bbox_mAP_m: 0.5280, bbox_mAP_l: 0.6220, bbox_mAP_copypaste: 0.491 0.710 0.540 0.341 0.528 0.622, segm_mAP: 0.4370, segm_mAP_50: 0.6820, segm_mAP_75: 0.4720, segm_mAP_s: 0.2560, segm_mAP_m: 0.4720, segm_mAP_l: 0.6150, segm_mAP_copypaste: 0.437 0.682 0.472 0.256 0.472 0.615 +2022-09-23 03:02:59,286 - mmdet - INFO - Epoch [27][50/7330] lr: 1.000e-04, eta: 9:14:06, time: 3.227, data_time: 2.774, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0314, loss_cls: 0.1506, acc: 94.4412, loss_bbox: 0.1968, loss_mask: 0.2070, loss: 0.6080 +2022-09-23 03:03:21,461 - mmdet - INFO - Epoch [27][100/7330] lr: 1.000e-04, eta: 9:13:43, time: 0.443, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0306, loss_cls: 0.1337, acc: 95.0884, loss_bbox: 0.1776, loss_mask: 0.2003, loss: 0.5630 +2022-09-23 03:03:43,470 - mmdet - INFO - Epoch [27][150/7330] lr: 1.000e-04, eta: 9:13:20, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0284, loss_cls: 0.1425, acc: 94.7539, loss_bbox: 0.1863, loss_mask: 0.2054, loss: 0.5828 +2022-09-23 03:04:05,713 - mmdet - INFO - Epoch [27][200/7330] lr: 1.000e-04, eta: 9:12:57, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0293, loss_cls: 0.1486, acc: 94.4624, loss_bbox: 0.1958, loss_mask: 0.2072, loss: 0.6005 +2022-09-23 03:04:28,101 - mmdet - INFO - Epoch [27][250/7330] lr: 1.000e-04, eta: 9:12:34, time: 0.449, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0295, loss_cls: 0.1513, acc: 94.4465, loss_bbox: 0.1972, loss_mask: 0.2099, loss: 0.6074 +2022-09-23 03:04:50,244 - mmdet - INFO - Epoch [27][300/7330] lr: 1.000e-04, eta: 9:12:11, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0310, loss_cls: 0.1559, acc: 94.3140, loss_bbox: 0.1983, loss_mask: 0.2090, loss: 0.6150 +2022-09-23 03:05:12,708 - mmdet - INFO - Epoch [27][350/7330] lr: 1.000e-04, eta: 9:11:48, time: 0.448, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0287, loss_cls: 0.1476, acc: 94.6069, loss_bbox: 0.1923, loss_mask: 0.2063, loss: 0.5946 +2022-09-23 03:05:35,236 - mmdet - INFO - Epoch [27][400/7330] lr: 1.000e-04, eta: 9:11:25, time: 0.453, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0279, loss_cls: 0.1480, acc: 94.5681, loss_bbox: 0.1935, loss_mask: 0.2088, loss: 0.5956 +2022-09-23 03:05:57,600 - mmdet - INFO - Epoch [27][450/7330] lr: 1.000e-04, eta: 9:11:02, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0317, loss_cls: 0.1572, acc: 94.3034, loss_bbox: 0.2000, loss_mask: 0.2045, loss: 0.6151 +2022-09-23 03:06:19,454 - mmdet - INFO - Epoch [27][500/7330] lr: 1.000e-04, eta: 9:10:39, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0309, loss_cls: 0.1486, acc: 94.4915, loss_bbox: 0.1948, loss_mask: 0.2030, loss: 0.5968 +2022-09-23 03:06:41,817 - mmdet - INFO - Epoch [27][550/7330] lr: 1.000e-04, eta: 9:10:16, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0313, loss_cls: 0.1494, acc: 94.4648, loss_bbox: 0.1972, loss_mask: 0.2042, loss: 0.6035 +2022-09-23 03:07:04,030 - mmdet - INFO - Epoch [27][600/7330] lr: 1.000e-04, eta: 9:09:53, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0305, loss_cls: 0.1425, acc: 94.7229, loss_bbox: 0.1893, loss_mask: 0.2014, loss: 0.5821 +2022-09-23 03:07:25,951 - mmdet - INFO - Epoch [27][650/7330] lr: 1.000e-04, eta: 9:09:30, time: 0.439, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0288, loss_cls: 0.1363, acc: 94.9834, loss_bbox: 0.1835, loss_mask: 0.1951, loss: 0.5626 +2022-09-23 03:07:48,035 - mmdet - INFO - Epoch [27][700/7330] lr: 1.000e-04, eta: 9:09:07, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0313, loss_cls: 0.1517, acc: 94.3967, loss_bbox: 0.2003, loss_mask: 0.2067, loss: 0.6105 +2022-09-23 03:08:10,022 - mmdet - INFO - Epoch [27][750/7330] lr: 1.000e-04, eta: 9:08:44, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0290, loss_cls: 0.1439, acc: 94.7522, loss_bbox: 0.1853, loss_mask: 0.2003, loss: 0.5789 +2022-09-23 03:08:32,145 - mmdet - INFO - Epoch [27][800/7330] lr: 1.000e-04, eta: 9:08:21, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0325, loss_cls: 0.1547, acc: 94.3650, loss_bbox: 0.1923, loss_mask: 0.2042, loss: 0.6035 +2022-09-23 03:08:53,900 - mmdet - INFO - Epoch [27][850/7330] lr: 1.000e-04, eta: 9:07:58, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0295, loss_cls: 0.1369, acc: 94.8564, loss_bbox: 0.1787, loss_mask: 0.1973, loss: 0.5636 +2022-09-23 03:09:15,744 - mmdet - INFO - Epoch [27][900/7330] lr: 1.000e-04, eta: 9:07:35, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0301, loss_cls: 0.1520, acc: 94.4351, loss_bbox: 0.1957, loss_mask: 0.2016, loss: 0.5983 +2022-09-23 03:09:37,949 - mmdet - INFO - Epoch [27][950/7330] lr: 1.000e-04, eta: 9:07:12, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0304, loss_cls: 0.1545, acc: 94.2771, loss_bbox: 0.2010, loss_mask: 0.2041, loss: 0.6106 +2022-09-23 03:10:00,243 - mmdet - INFO - Epoch [27][1000/7330] lr: 1.000e-04, eta: 9:06:49, time: 0.446, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0302, loss_cls: 0.1540, acc: 94.3428, loss_bbox: 0.1988, loss_mask: 0.2076, loss: 0.6098 +2022-09-23 03:10:22,381 - mmdet - INFO - Epoch [27][1050/7330] lr: 1.000e-04, eta: 9:06:26, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0271, loss_cls: 0.1383, acc: 94.9158, loss_bbox: 0.1840, loss_mask: 0.2006, loss: 0.5677 +2022-09-23 03:10:44,544 - mmdet - INFO - Epoch [27][1100/7330] lr: 1.000e-04, eta: 9:06:03, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0288, loss_cls: 0.1531, acc: 94.3787, loss_bbox: 0.1959, loss_mask: 0.2097, loss: 0.6068 +2022-09-23 03:11:06,536 - mmdet - INFO - Epoch [27][1150/7330] lr: 1.000e-04, eta: 9:05:40, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0294, loss_cls: 0.1518, acc: 94.3743, loss_bbox: 0.1971, loss_mask: 0.2083, loss: 0.6070 +2022-09-23 03:11:28,297 - mmdet - INFO - Epoch [27][1200/7330] lr: 1.000e-04, eta: 9:05:17, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0306, loss_cls: 0.1558, acc: 94.2498, loss_bbox: 0.2003, loss_mask: 0.2041, loss: 0.6121 +2022-09-23 03:11:50,130 - mmdet - INFO - Epoch [27][1250/7330] lr: 1.000e-04, eta: 9:04:54, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0282, loss_cls: 0.1456, acc: 94.6814, loss_bbox: 0.1880, loss_mask: 0.2049, loss: 0.5857 +2022-09-23 03:12:12,206 - mmdet - INFO - Epoch [27][1300/7330] lr: 1.000e-04, eta: 9:04:31, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0307, loss_cls: 0.1538, acc: 94.3232, loss_bbox: 0.1929, loss_mask: 0.2037, loss: 0.6024 +2022-09-23 03:12:34,062 - mmdet - INFO - Epoch [27][1350/7330] lr: 1.000e-04, eta: 9:04:07, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0283, loss_cls: 0.1445, acc: 94.6897, loss_bbox: 0.1867, loss_mask: 0.2023, loss: 0.5831 +2022-09-23 03:12:56,187 - mmdet - INFO - Epoch [27][1400/7330] lr: 1.000e-04, eta: 9:03:44, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0299, loss_cls: 0.1438, acc: 94.6299, loss_bbox: 0.1840, loss_mask: 0.2081, loss: 0.5855 +2022-09-23 03:13:18,368 - mmdet - INFO - Epoch [27][1450/7330] lr: 1.000e-04, eta: 9:03:21, time: 0.443, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0320, loss_cls: 0.1531, acc: 94.3743, loss_bbox: 0.1930, loss_mask: 0.2049, loss: 0.6061 +2022-09-23 03:13:40,657 - mmdet - INFO - Epoch [27][1500/7330] lr: 1.000e-04, eta: 9:02:59, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0284, loss_cls: 0.1421, acc: 94.8250, loss_bbox: 0.1834, loss_mask: 0.2018, loss: 0.5756 +2022-09-23 03:14:02,695 - mmdet - INFO - Epoch [27][1550/7330] lr: 1.000e-04, eta: 9:02:36, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0327, loss_cls: 0.1473, acc: 94.5371, loss_bbox: 0.1924, loss_mask: 0.2005, loss: 0.5936 +2022-09-23 03:14:24,704 - mmdet - INFO - Epoch [27][1600/7330] lr: 1.000e-04, eta: 9:02:12, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0321, loss_cls: 0.1537, acc: 94.3469, loss_bbox: 0.2024, loss_mask: 0.2100, loss: 0.6197 +2022-09-23 03:14:46,299 - mmdet - INFO - Epoch [27][1650/7330] lr: 1.000e-04, eta: 9:01:49, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0285, loss_cls: 0.1506, acc: 94.3826, loss_bbox: 0.2000, loss_mask: 0.2078, loss: 0.6062 +2022-09-23 03:15:08,009 - mmdet - INFO - Epoch [27][1700/7330] lr: 1.000e-04, eta: 9:01:26, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0300, loss_cls: 0.1566, acc: 94.1306, loss_bbox: 0.2047, loss_mask: 0.2119, loss: 0.6233 +2022-09-23 03:15:29,600 - mmdet - INFO - Epoch [27][1750/7330] lr: 1.000e-04, eta: 9:01:03, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0298, loss_cls: 0.1537, acc: 94.2014, loss_bbox: 0.2064, loss_mask: 0.2107, loss: 0.6199 +2022-09-23 03:15:51,569 - mmdet - INFO - Epoch [27][1800/7330] lr: 1.000e-04, eta: 9:00:40, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0286, loss_cls: 0.1517, acc: 94.4539, loss_bbox: 0.1897, loss_mask: 0.2033, loss: 0.5923 +2022-09-23 03:16:13,386 - mmdet - INFO - Epoch [27][1850/7330] lr: 1.000e-04, eta: 9:00:17, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0293, loss_cls: 0.1503, acc: 94.4836, loss_bbox: 0.1940, loss_mask: 0.2030, loss: 0.5976 +2022-09-23 03:16:35,042 - mmdet - INFO - Epoch [27][1900/7330] lr: 1.000e-04, eta: 8:59:53, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0295, loss_cls: 0.1545, acc: 94.3093, loss_bbox: 0.2044, loss_mask: 0.2071, loss: 0.6138 +2022-09-23 03:16:57,168 - mmdet - INFO - Epoch [27][1950/7330] lr: 1.000e-04, eta: 8:59:30, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0308, loss_cls: 0.1548, acc: 94.3577, loss_bbox: 0.1978, loss_mask: 0.2160, loss: 0.6197 +2022-09-23 03:17:18,930 - mmdet - INFO - Epoch [27][2000/7330] lr: 1.000e-04, eta: 8:59:07, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0289, loss_cls: 0.1515, acc: 94.3879, loss_bbox: 0.1913, loss_mask: 0.2071, loss: 0.5971 +2022-09-23 03:17:40,624 - mmdet - INFO - Epoch [27][2050/7330] lr: 1.000e-04, eta: 8:58:44, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0313, loss_cls: 0.1583, acc: 94.1680, loss_bbox: 0.2005, loss_mask: 0.2050, loss: 0.6161 +2022-09-23 03:18:02,111 - mmdet - INFO - Epoch [27][2100/7330] lr: 1.000e-04, eta: 8:58:21, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0320, loss_cls: 0.1566, acc: 94.2058, loss_bbox: 0.2054, loss_mask: 0.2133, loss: 0.6295 +2022-09-23 03:18:23,982 - mmdet - INFO - Epoch [27][2150/7330] lr: 1.000e-04, eta: 8:57:57, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0287, loss_cls: 0.1521, acc: 94.4651, loss_bbox: 0.1936, loss_mask: 0.2089, loss: 0.6027 +2022-09-23 03:18:45,842 - mmdet - INFO - Epoch [27][2200/7330] lr: 1.000e-04, eta: 8:57:34, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0279, loss_cls: 0.1432, acc: 94.7458, loss_bbox: 0.1873, loss_mask: 0.2089, loss: 0.5871 +2022-09-23 03:19:07,782 - mmdet - INFO - Epoch [27][2250/7330] lr: 1.000e-04, eta: 8:57:11, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0303, loss_cls: 0.1513, acc: 94.4497, loss_bbox: 0.1982, loss_mask: 0.2124, loss: 0.6120 +2022-09-23 03:19:29,886 - mmdet - INFO - Epoch [27][2300/7330] lr: 1.000e-04, eta: 8:56:48, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0313, loss_cls: 0.1574, acc: 94.0935, loss_bbox: 0.2057, loss_mask: 0.2143, loss: 0.6275 +2022-09-23 03:19:51,645 - mmdet - INFO - Epoch [27][2350/7330] lr: 1.000e-04, eta: 8:56:25, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0283, loss_cls: 0.1534, acc: 94.4514, loss_bbox: 0.1919, loss_mask: 0.2044, loss: 0.5965 +2022-09-23 03:20:13,366 - mmdet - INFO - Epoch [27][2400/7330] lr: 1.000e-04, eta: 8:56:02, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0271, loss_cls: 0.1461, acc: 94.6936, loss_bbox: 0.1916, loss_mask: 0.2029, loss: 0.5864 +2022-09-23 03:20:34,982 - mmdet - INFO - Epoch [27][2450/7330] lr: 1.000e-04, eta: 8:55:39, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0304, loss_cls: 0.1508, acc: 94.4275, loss_bbox: 0.1982, loss_mask: 0.2051, loss: 0.6037 +2022-09-23 03:20:57,052 - mmdet - INFO - Epoch [27][2500/7330] lr: 1.000e-04, eta: 8:55:16, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0324, loss_cls: 0.1520, acc: 94.3760, loss_bbox: 0.2043, loss_mask: 0.2105, loss: 0.6198 +2022-09-23 03:21:19,162 - mmdet - INFO - Epoch [27][2550/7330] lr: 1.000e-04, eta: 8:54:53, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0323, loss_cls: 0.1507, acc: 94.3811, loss_bbox: 0.1993, loss_mask: 0.2048, loss: 0.6080 +2022-09-23 03:21:41,170 - mmdet - INFO - Epoch [27][2600/7330] lr: 1.000e-04, eta: 8:54:30, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0278, loss_cls: 0.1476, acc: 94.5901, loss_bbox: 0.1946, loss_mask: 0.2032, loss: 0.5918 +2022-09-23 03:22:03,467 - mmdet - INFO - Epoch [27][2650/7330] lr: 1.000e-04, eta: 8:54:07, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0311, loss_cls: 0.1509, acc: 94.4658, loss_bbox: 0.1939, loss_mask: 0.2041, loss: 0.6000 +2022-09-23 03:22:25,503 - mmdet - INFO - Epoch [27][2700/7330] lr: 1.000e-04, eta: 8:53:44, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0288, loss_cls: 0.1353, acc: 94.9556, loss_bbox: 0.1853, loss_mask: 0.2069, loss: 0.5754 +2022-09-23 03:22:47,606 - mmdet - INFO - Epoch [27][2750/7330] lr: 1.000e-04, eta: 8:53:21, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0317, loss_cls: 0.1517, acc: 94.2969, loss_bbox: 0.2023, loss_mask: 0.2105, loss: 0.6167 +2022-09-23 03:23:09,317 - mmdet - INFO - Epoch [27][2800/7330] lr: 1.000e-04, eta: 8:52:58, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0281, loss_cls: 0.1535, acc: 94.4495, loss_bbox: 0.1945, loss_mask: 0.2074, loss: 0.6026 +2022-09-23 03:23:31,090 - mmdet - INFO - Epoch [27][2850/7330] lr: 1.000e-04, eta: 8:52:34, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0298, loss_cls: 0.1536, acc: 94.3745, loss_bbox: 0.1983, loss_mask: 0.2074, loss: 0.6089 +2022-09-23 03:23:52,624 - mmdet - INFO - Epoch [27][2900/7330] lr: 1.000e-04, eta: 8:52:11, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0295, loss_cls: 0.1508, acc: 94.5037, loss_bbox: 0.1954, loss_mask: 0.2054, loss: 0.6008 +2022-09-23 03:24:14,878 - mmdet - INFO - Epoch [27][2950/7330] lr: 1.000e-04, eta: 8:51:48, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0301, loss_cls: 0.1409, acc: 94.6907, loss_bbox: 0.1905, loss_mask: 0.2034, loss: 0.5838 +2022-09-23 03:24:36,701 - mmdet - INFO - Epoch [27][3000/7330] lr: 1.000e-04, eta: 8:51:25, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0288, loss_cls: 0.1534, acc: 94.3738, loss_bbox: 0.1960, loss_mask: 0.2092, loss: 0.6080 +2022-09-23 03:24:59,037 - mmdet - INFO - Epoch [27][3050/7330] lr: 1.000e-04, eta: 8:51:02, time: 0.447, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0306, loss_cls: 0.1529, acc: 94.3306, loss_bbox: 0.2021, loss_mask: 0.2114, loss: 0.6196 +2022-09-23 03:25:20,772 - mmdet - INFO - Epoch [27][3100/7330] lr: 1.000e-04, eta: 8:50:39, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0297, loss_cls: 0.1510, acc: 94.3667, loss_bbox: 0.1966, loss_mask: 0.2144, loss: 0.6129 +2022-09-23 03:25:42,945 - mmdet - INFO - Epoch [27][3150/7330] lr: 1.000e-04, eta: 8:50:16, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0281, loss_cls: 0.1491, acc: 94.5393, loss_bbox: 0.1916, loss_mask: 0.2049, loss: 0.5936 +2022-09-23 03:26:05,237 - mmdet - INFO - Epoch [27][3200/7330] lr: 1.000e-04, eta: 8:49:53, time: 0.446, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0279, loss_cls: 0.1468, acc: 94.5935, loss_bbox: 0.1953, loss_mask: 0.2095, loss: 0.5979 +2022-09-23 03:26:27,361 - mmdet - INFO - Epoch [27][3250/7330] lr: 1.000e-04, eta: 8:49:30, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0310, loss_cls: 0.1514, acc: 94.3118, loss_bbox: 0.2011, loss_mask: 0.2082, loss: 0.6113 +2022-09-23 03:26:49,151 - mmdet - INFO - Epoch [27][3300/7330] lr: 1.000e-04, eta: 8:49:07, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0282, loss_cls: 0.1519, acc: 94.4873, loss_bbox: 0.1944, loss_mask: 0.2038, loss: 0.5974 +2022-09-23 03:27:11,212 - mmdet - INFO - Epoch [27][3350/7330] lr: 1.000e-04, eta: 8:48:44, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0309, loss_cls: 0.1467, acc: 94.6199, loss_bbox: 0.1916, loss_mask: 0.2039, loss: 0.5938 +2022-09-23 03:27:32,979 - mmdet - INFO - Epoch [27][3400/7330] lr: 1.000e-04, eta: 8:48:21, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0301, loss_cls: 0.1526, acc: 94.3689, loss_bbox: 0.1951, loss_mask: 0.2077, loss: 0.6064 +2022-09-23 03:27:54,831 - mmdet - INFO - Epoch [27][3450/7330] lr: 1.000e-04, eta: 8:47:58, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0312, loss_cls: 0.1520, acc: 94.4224, loss_bbox: 0.1996, loss_mask: 0.2107, loss: 0.6131 +2022-09-23 03:28:16,183 - mmdet - INFO - Epoch [27][3500/7330] lr: 1.000e-04, eta: 8:47:35, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0287, loss_cls: 0.1488, acc: 94.5154, loss_bbox: 0.1937, loss_mask: 0.2076, loss: 0.5988 +2022-09-23 03:28:37,887 - mmdet - INFO - Epoch [27][3550/7330] lr: 1.000e-04, eta: 8:47:11, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0309, loss_cls: 0.1437, acc: 94.6663, loss_bbox: 0.1911, loss_mask: 0.2056, loss: 0.5924 +2022-09-23 03:28:59,886 - mmdet - INFO - Epoch [27][3600/7330] lr: 1.000e-04, eta: 8:46:48, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0288, loss_cls: 0.1548, acc: 94.3750, loss_bbox: 0.1941, loss_mask: 0.2123, loss: 0.6095 +2022-09-23 03:29:21,319 - mmdet - INFO - Epoch [27][3650/7330] lr: 1.000e-04, eta: 8:46:25, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0313, loss_cls: 0.1699, acc: 93.8430, loss_bbox: 0.2109, loss_mask: 0.2206, loss: 0.6550 +2022-09-23 03:29:43,298 - mmdet - INFO - Epoch [27][3700/7330] lr: 1.000e-04, eta: 8:46:02, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0322, loss_cls: 0.1602, acc: 94.0684, loss_bbox: 0.2077, loss_mask: 0.2149, loss: 0.6357 +2022-09-23 03:30:05,225 - mmdet - INFO - Epoch [27][3750/7330] lr: 1.000e-04, eta: 8:45:39, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0303, loss_cls: 0.1556, acc: 94.2332, loss_bbox: 0.2024, loss_mask: 0.2096, loss: 0.6207 +2022-09-23 03:30:27,401 - mmdet - INFO - Epoch [27][3800/7330] lr: 1.000e-04, eta: 8:45:16, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0301, loss_cls: 0.1636, acc: 94.1113, loss_bbox: 0.2070, loss_mask: 0.2102, loss: 0.6339 +2022-09-23 03:30:48,878 - mmdet - INFO - Epoch [27][3850/7330] lr: 1.000e-04, eta: 8:44:53, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0276, loss_cls: 0.1414, acc: 94.6956, loss_bbox: 0.1870, loss_mask: 0.2013, loss: 0.5756 +2022-09-23 03:31:10,521 - mmdet - INFO - Epoch [27][3900/7330] lr: 1.000e-04, eta: 8:44:30, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0274, loss_cls: 0.1417, acc: 94.7483, loss_bbox: 0.1857, loss_mask: 0.2041, loss: 0.5789 +2022-09-23 03:31:32,558 - mmdet - INFO - Epoch [27][3950/7330] lr: 1.000e-04, eta: 8:44:07, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0288, loss_cls: 0.1433, acc: 94.6030, loss_bbox: 0.1891, loss_mask: 0.2059, loss: 0.5863 +2022-09-23 03:31:54,605 - mmdet - INFO - Epoch [27][4000/7330] lr: 1.000e-04, eta: 8:43:44, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0305, loss_cls: 0.1582, acc: 94.2437, loss_bbox: 0.2051, loss_mask: 0.2090, loss: 0.6244 +2022-09-23 03:32:16,493 - mmdet - INFO - Epoch [27][4050/7330] lr: 1.000e-04, eta: 8:43:21, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0308, loss_cls: 0.1541, acc: 94.3430, loss_bbox: 0.1972, loss_mask: 0.2100, loss: 0.6143 +2022-09-23 03:32:38,148 - mmdet - INFO - Epoch [27][4100/7330] lr: 1.000e-04, eta: 8:42:57, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0287, loss_cls: 0.1445, acc: 94.7727, loss_bbox: 0.1850, loss_mask: 0.1981, loss: 0.5767 +2022-09-23 03:32:59,737 - mmdet - INFO - Epoch [27][4150/7330] lr: 1.000e-04, eta: 8:42:34, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0289, loss_cls: 0.1512, acc: 94.4910, loss_bbox: 0.1951, loss_mask: 0.2093, loss: 0.6041 +2022-09-23 03:33:21,251 - mmdet - INFO - Epoch [27][4200/7330] lr: 1.000e-04, eta: 8:42:11, time: 0.430, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0340, loss_cls: 0.1648, acc: 93.9172, loss_bbox: 0.2142, loss_mask: 0.2154, loss: 0.6514 +2022-09-23 03:33:42,857 - mmdet - INFO - Epoch [27][4250/7330] lr: 1.000e-04, eta: 8:41:48, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0307, loss_cls: 0.1530, acc: 94.4138, loss_bbox: 0.2001, loss_mask: 0.2084, loss: 0.6123 +2022-09-23 03:34:04,345 - mmdet - INFO - Epoch [27][4300/7330] lr: 1.000e-04, eta: 8:41:24, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0303, loss_cls: 0.1586, acc: 94.1721, loss_bbox: 0.2004, loss_mask: 0.2099, loss: 0.6210 +2022-09-23 03:34:25,807 - mmdet - INFO - Epoch [27][4350/7330] lr: 1.000e-04, eta: 8:41:01, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0295, loss_cls: 0.1565, acc: 94.3350, loss_bbox: 0.2007, loss_mask: 0.2040, loss: 0.6112 +2022-09-23 03:34:47,498 - mmdet - INFO - Epoch [27][4400/7330] lr: 1.000e-04, eta: 8:40:38, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0293, loss_cls: 0.1576, acc: 94.1208, loss_bbox: 0.1989, loss_mask: 0.2018, loss: 0.6075 +2022-09-23 03:35:09,663 - mmdet - INFO - Epoch [27][4450/7330] lr: 1.000e-04, eta: 8:40:15, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0316, loss_cls: 0.1528, acc: 94.3042, loss_bbox: 0.1996, loss_mask: 0.2073, loss: 0.6106 +2022-09-23 03:35:31,255 - mmdet - INFO - Epoch [27][4500/7330] lr: 1.000e-04, eta: 8:39:52, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0300, loss_cls: 0.1542, acc: 94.3440, loss_bbox: 0.1967, loss_mask: 0.2041, loss: 0.6043 +2022-09-23 03:35:52,928 - mmdet - INFO - Epoch [27][4550/7330] lr: 1.000e-04, eta: 8:39:29, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0306, loss_cls: 0.1522, acc: 94.3779, loss_bbox: 0.2037, loss_mask: 0.2118, loss: 0.6183 +2022-09-23 03:36:14,787 - mmdet - INFO - Epoch [27][4600/7330] lr: 1.000e-04, eta: 8:39:06, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0302, loss_cls: 0.1548, acc: 94.3242, loss_bbox: 0.2007, loss_mask: 0.2098, loss: 0.6143 +2022-09-23 03:36:37,002 - mmdet - INFO - Epoch [27][4650/7330] lr: 1.000e-04, eta: 8:38:43, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0302, loss_cls: 0.1442, acc: 94.6665, loss_bbox: 0.1927, loss_mask: 0.2082, loss: 0.5963 +2022-09-23 03:36:58,753 - mmdet - INFO - Epoch [27][4700/7330] lr: 1.000e-04, eta: 8:38:20, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0294, loss_cls: 0.1536, acc: 94.2646, loss_bbox: 0.2024, loss_mask: 0.2104, loss: 0.6148 +2022-09-23 03:37:20,324 - mmdet - INFO - Epoch [27][4750/7330] lr: 1.000e-04, eta: 8:37:56, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0310, loss_cls: 0.1574, acc: 94.1914, loss_bbox: 0.2039, loss_mask: 0.2069, loss: 0.6200 +2022-09-23 03:37:41,658 - mmdet - INFO - Epoch [27][4800/7330] lr: 1.000e-04, eta: 8:37:33, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0306, loss_cls: 0.1564, acc: 94.2271, loss_bbox: 0.1991, loss_mask: 0.2042, loss: 0.6117 +2022-09-23 03:38:03,409 - mmdet - INFO - Epoch [27][4850/7330] lr: 1.000e-04, eta: 8:37:10, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0308, loss_cls: 0.1558, acc: 94.3518, loss_bbox: 0.1960, loss_mask: 0.2049, loss: 0.6087 +2022-09-23 03:38:25,299 - mmdet - INFO - Epoch [27][4900/7330] lr: 1.000e-04, eta: 8:36:47, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0295, loss_cls: 0.1495, acc: 94.5884, loss_bbox: 0.1927, loss_mask: 0.2044, loss: 0.5965 +2022-09-23 03:38:46,801 - mmdet - INFO - Epoch [27][4950/7330] lr: 1.000e-04, eta: 8:36:24, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0343, loss_cls: 0.1602, acc: 94.1709, loss_bbox: 0.2072, loss_mask: 0.2155, loss: 0.6398 +2022-09-23 03:39:08,451 - mmdet - INFO - Epoch [27][5000/7330] lr: 1.000e-04, eta: 8:36:00, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0293, loss_cls: 0.1511, acc: 94.3967, loss_bbox: 0.1970, loss_mask: 0.2063, loss: 0.6022 +2022-09-23 03:39:29,840 - mmdet - INFO - Epoch [27][5050/7330] lr: 1.000e-04, eta: 8:35:37, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0291, loss_cls: 0.1486, acc: 94.5781, loss_bbox: 0.1941, loss_mask: 0.2059, loss: 0.5952 +2022-09-23 03:39:51,380 - mmdet - INFO - Epoch [27][5100/7330] lr: 1.000e-04, eta: 8:35:14, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0287, loss_cls: 0.1513, acc: 94.4871, loss_bbox: 0.1985, loss_mask: 0.2114, loss: 0.6095 +2022-09-23 03:40:13,333 - mmdet - INFO - Epoch [27][5150/7330] lr: 1.000e-04, eta: 8:34:51, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0313, loss_cls: 0.1557, acc: 94.1875, loss_bbox: 0.2025, loss_mask: 0.2126, loss: 0.6214 +2022-09-23 03:40:35,523 - mmdet - INFO - Epoch [27][5200/7330] lr: 1.000e-04, eta: 8:34:28, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0299, loss_cls: 0.1527, acc: 94.3525, loss_bbox: 0.1987, loss_mask: 0.2056, loss: 0.6063 +2022-09-23 03:40:57,837 - mmdet - INFO - Epoch [27][5250/7330] lr: 1.000e-04, eta: 8:34:05, time: 0.446, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0299, loss_cls: 0.1529, acc: 94.3860, loss_bbox: 0.1927, loss_mask: 0.2075, loss: 0.6035 +2022-09-23 03:41:19,669 - mmdet - INFO - Epoch [27][5300/7330] lr: 1.000e-04, eta: 8:33:42, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0317, loss_cls: 0.1632, acc: 94.1240, loss_bbox: 0.2074, loss_mask: 0.2103, loss: 0.6354 +2022-09-23 03:41:41,368 - mmdet - INFO - Epoch [27][5350/7330] lr: 1.000e-04, eta: 8:33:19, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0301, loss_cls: 0.1577, acc: 94.1079, loss_bbox: 0.2032, loss_mask: 0.2095, loss: 0.6207 +2022-09-23 03:42:03,152 - mmdet - INFO - Epoch [27][5400/7330] lr: 1.000e-04, eta: 8:32:56, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0306, loss_cls: 0.1558, acc: 94.2439, loss_bbox: 0.2010, loss_mask: 0.2095, loss: 0.6164 +2022-09-23 03:42:24,879 - mmdet - INFO - Epoch [27][5450/7330] lr: 1.000e-04, eta: 8:32:33, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0298, loss_cls: 0.1556, acc: 94.3286, loss_bbox: 0.1981, loss_mask: 0.2145, loss: 0.6198 +2022-09-23 03:42:46,293 - mmdet - INFO - Epoch [27][5500/7330] lr: 1.000e-04, eta: 8:32:09, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0303, loss_cls: 0.1501, acc: 94.4080, loss_bbox: 0.2011, loss_mask: 0.2134, loss: 0.6147 +2022-09-23 03:43:07,595 - mmdet - INFO - Epoch [27][5550/7330] lr: 1.000e-04, eta: 8:31:46, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0296, loss_cls: 0.1522, acc: 94.4302, loss_bbox: 0.1955, loss_mask: 0.2083, loss: 0.6040 +2022-09-23 03:43:29,220 - mmdet - INFO - Epoch [27][5600/7330] lr: 1.000e-04, eta: 8:31:23, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0288, loss_cls: 0.1466, acc: 94.6140, loss_bbox: 0.1907, loss_mask: 0.2073, loss: 0.5935 +2022-09-23 03:43:50,896 - mmdet - INFO - Epoch [27][5650/7330] lr: 1.000e-04, eta: 8:31:00, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0312, loss_cls: 0.1547, acc: 94.2959, loss_bbox: 0.1991, loss_mask: 0.2069, loss: 0.6135 +2022-09-23 03:44:12,523 - mmdet - INFO - Epoch [27][5700/7330] lr: 1.000e-04, eta: 8:30:37, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0298, loss_cls: 0.1525, acc: 94.3384, loss_bbox: 0.1970, loss_mask: 0.2068, loss: 0.6060 +2022-09-23 03:44:34,531 - mmdet - INFO - Epoch [27][5750/7330] lr: 1.000e-04, eta: 8:30:14, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0317, loss_cls: 0.1612, acc: 94.1338, loss_bbox: 0.2036, loss_mask: 0.2090, loss: 0.6263 +2022-09-23 03:44:56,071 - mmdet - INFO - Epoch [27][5800/7330] lr: 1.000e-04, eta: 8:29:50, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0295, loss_cls: 0.1477, acc: 94.6050, loss_bbox: 0.1919, loss_mask: 0.2097, loss: 0.6000 +2022-09-23 03:45:17,628 - mmdet - INFO - Epoch [27][5850/7330] lr: 1.000e-04, eta: 8:29:27, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0312, loss_cls: 0.1551, acc: 94.4417, loss_bbox: 0.1934, loss_mask: 0.2060, loss: 0.6084 +2022-09-23 03:45:39,277 - mmdet - INFO - Epoch [27][5900/7330] lr: 1.000e-04, eta: 8:29:04, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0292, loss_cls: 0.1463, acc: 94.7166, loss_bbox: 0.1908, loss_mask: 0.2030, loss: 0.5885 +2022-09-23 03:46:01,192 - mmdet - INFO - Epoch [27][5950/7330] lr: 1.000e-04, eta: 8:28:41, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0297, loss_cls: 0.1513, acc: 94.5417, loss_bbox: 0.1936, loss_mask: 0.2099, loss: 0.6054 +2022-09-23 03:46:22,924 - mmdet - INFO - Epoch [27][6000/7330] lr: 1.000e-04, eta: 8:28:18, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0327, loss_cls: 0.1589, acc: 94.2283, loss_bbox: 0.2039, loss_mask: 0.2156, loss: 0.6319 +2022-09-23 03:46:44,888 - mmdet - INFO - Epoch [27][6050/7330] lr: 1.000e-04, eta: 8:27:55, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0306, loss_cls: 0.1542, acc: 94.4673, loss_bbox: 0.1932, loss_mask: 0.2090, loss: 0.6078 +2022-09-23 03:47:06,777 - mmdet - INFO - Epoch [27][6100/7330] lr: 1.000e-04, eta: 8:27:32, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0296, loss_cls: 0.1449, acc: 94.6621, loss_bbox: 0.1899, loss_mask: 0.2082, loss: 0.5926 +2022-09-23 03:47:28,716 - mmdet - INFO - Epoch [27][6150/7330] lr: 1.000e-04, eta: 8:27:09, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0309, loss_cls: 0.1497, acc: 94.5005, loss_bbox: 0.1989, loss_mask: 0.2127, loss: 0.6130 +2022-09-23 03:47:50,387 - mmdet - INFO - Epoch [27][6200/7330] lr: 1.000e-04, eta: 8:26:46, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0322, loss_cls: 0.1518, acc: 94.4700, loss_bbox: 0.1935, loss_mask: 0.2117, loss: 0.6111 +2022-09-23 03:48:12,570 - mmdet - INFO - Epoch [27][6250/7330] lr: 1.000e-04, eta: 8:26:23, time: 0.444, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0298, loss_cls: 0.1495, acc: 94.5046, loss_bbox: 0.1952, loss_mask: 0.2086, loss: 0.6039 +2022-09-23 03:48:34,219 - mmdet - INFO - Epoch [27][6300/7330] lr: 1.000e-04, eta: 8:26:00, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0299, loss_cls: 0.1492, acc: 94.5063, loss_bbox: 0.1930, loss_mask: 0.2129, loss: 0.6054 +2022-09-23 03:48:56,187 - mmdet - INFO - Epoch [27][6350/7330] lr: 1.000e-04, eta: 8:25:37, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0298, loss_cls: 0.1576, acc: 94.2078, loss_bbox: 0.2024, loss_mask: 0.2065, loss: 0.6159 +2022-09-23 03:49:17,946 - mmdet - INFO - Epoch [27][6400/7330] lr: 1.000e-04, eta: 8:25:14, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0305, loss_cls: 0.1582, acc: 94.2522, loss_bbox: 0.1999, loss_mask: 0.2182, loss: 0.6275 +2022-09-23 03:49:39,548 - mmdet - INFO - Epoch [27][6450/7330] lr: 1.000e-04, eta: 8:24:50, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0304, loss_cls: 0.1560, acc: 94.3037, loss_bbox: 0.2004, loss_mask: 0.2110, loss: 0.6187 +2022-09-23 03:50:01,286 - mmdet - INFO - Epoch [27][6500/7330] lr: 1.000e-04, eta: 8:24:27, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0286, loss_cls: 0.1503, acc: 94.4233, loss_bbox: 0.1975, loss_mask: 0.2038, loss: 0.6002 +2022-09-23 03:50:22,927 - mmdet - INFO - Epoch [27][6550/7330] lr: 1.000e-04, eta: 8:24:04, time: 0.433, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0285, loss_cls: 0.1494, acc: 94.4634, loss_bbox: 0.1926, loss_mask: 0.2052, loss: 0.5950 +2022-09-23 03:50:44,817 - mmdet - INFO - Epoch [27][6600/7330] lr: 1.000e-04, eta: 8:23:41, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0322, loss_cls: 0.1562, acc: 94.0994, loss_bbox: 0.2075, loss_mask: 0.2130, loss: 0.6294 +2022-09-23 03:51:06,841 - mmdet - INFO - Epoch [27][6650/7330] lr: 1.000e-04, eta: 8:23:18, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0303, loss_cls: 0.1531, acc: 94.3479, loss_bbox: 0.1986, loss_mask: 0.2075, loss: 0.6080 +2022-09-23 03:51:28,307 - mmdet - INFO - Epoch [27][6700/7330] lr: 1.000e-04, eta: 8:22:55, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0312, loss_cls: 0.1539, acc: 94.4304, loss_bbox: 0.1983, loss_mask: 0.2076, loss: 0.6119 +2022-09-23 03:51:49,740 - mmdet - INFO - Epoch [27][6750/7330] lr: 1.000e-04, eta: 8:22:32, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0292, loss_cls: 0.1529, acc: 94.4167, loss_bbox: 0.1934, loss_mask: 0.2048, loss: 0.6015 +2022-09-23 03:52:11,389 - mmdet - INFO - Epoch [27][6800/7330] lr: 1.000e-04, eta: 8:22:09, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0313, loss_cls: 0.1559, acc: 94.3225, loss_bbox: 0.2037, loss_mask: 0.2098, loss: 0.6221 +2022-09-23 03:52:33,167 - mmdet - INFO - Epoch [27][6850/7330] lr: 1.000e-04, eta: 8:21:45, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0291, loss_cls: 0.1544, acc: 94.3154, loss_bbox: 0.1954, loss_mask: 0.2051, loss: 0.6052 +2022-09-23 03:52:54,846 - mmdet - INFO - Epoch [27][6900/7330] lr: 1.000e-04, eta: 8:21:22, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0296, loss_cls: 0.1467, acc: 94.5166, loss_bbox: 0.1916, loss_mask: 0.2095, loss: 0.5975 +2022-09-23 03:53:16,636 - mmdet - INFO - Epoch [27][6950/7330] lr: 1.000e-04, eta: 8:20:59, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0300, loss_cls: 0.1587, acc: 94.3052, loss_bbox: 0.1980, loss_mask: 0.2044, loss: 0.6129 +2022-09-23 03:53:38,782 - mmdet - INFO - Epoch [27][7000/7330] lr: 1.000e-04, eta: 8:20:36, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0294, loss_cls: 0.1499, acc: 94.4729, loss_bbox: 0.1942, loss_mask: 0.2072, loss: 0.6012 +2022-09-23 03:54:00,514 - mmdet - INFO - Epoch [27][7050/7330] lr: 1.000e-04, eta: 8:20:13, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0278, loss_cls: 0.1516, acc: 94.4404, loss_bbox: 0.1943, loss_mask: 0.2042, loss: 0.5979 +2022-09-23 03:54:22,206 - mmdet - INFO - Epoch [27][7100/7330] lr: 1.000e-04, eta: 8:19:50, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0313, loss_cls: 0.1576, acc: 94.2642, loss_bbox: 0.2043, loss_mask: 0.2125, loss: 0.6274 +2022-09-23 03:54:43,920 - mmdet - INFO - Epoch [27][7150/7330] lr: 1.000e-04, eta: 8:19:27, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0311, loss_cls: 0.1576, acc: 94.1636, loss_bbox: 0.2028, loss_mask: 0.2092, loss: 0.6215 +2022-09-23 03:55:05,684 - mmdet - INFO - Epoch [27][7200/7330] lr: 1.000e-04, eta: 8:19:04, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0277, loss_cls: 0.1501, acc: 94.5339, loss_bbox: 0.1883, loss_mask: 0.2049, loss: 0.5899 +2022-09-23 03:55:27,581 - mmdet - INFO - Epoch [27][7250/7330] lr: 1.000e-04, eta: 8:18:41, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0286, loss_cls: 0.1493, acc: 94.5518, loss_bbox: 0.1946, loss_mask: 0.2093, loss: 0.6011 +2022-09-23 03:55:49,535 - mmdet - INFO - Epoch [27][7300/7330] lr: 1.000e-04, eta: 8:18:18, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0306, loss_cls: 0.1490, acc: 94.5908, loss_bbox: 0.1944, loss_mask: 0.2117, loss: 0.6065 +2022-09-23 03:56:12,573 - mmdet - INFO - Saving checkpoint at 27 epochs +2022-09-23 03:58:45,777 - mmdet - INFO - Evaluating bbox... +2022-09-23 03:59:13,401 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.486 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.705 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.533 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.325 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.523 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.629 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.606 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.606 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.606 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.433 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.644 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.752 + +2022-09-23 03:59:13,401 - mmdet - INFO - Evaluating segm... +2022-09-23 03:59:40,512 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.431 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.675 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.465 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.243 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.465 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.614 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.546 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.546 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.546 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.369 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.585 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.706 + +2022-09-23 03:59:41,002 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 03:59:41,003 - mmdet - INFO - Epoch(val) [27][625] bbox_mAP: 0.4860, bbox_mAP_50: 0.7050, bbox_mAP_75: 0.5330, bbox_mAP_s: 0.3250, bbox_mAP_m: 0.5230, bbox_mAP_l: 0.6290, bbox_mAP_copypaste: 0.486 0.705 0.533 0.325 0.523 0.629, segm_mAP: 0.4310, segm_mAP_50: 0.6750, segm_mAP_75: 0.4650, segm_mAP_s: 0.2430, segm_mAP_m: 0.4650, segm_mAP_l: 0.6140, segm_mAP_copypaste: 0.431 0.675 0.465 0.243 0.465 0.614 +2022-09-23 04:02:35,243 - mmdet - INFO - Epoch [28][50/7330] lr: 1.000e-05, eta: 8:18:47, time: 3.484, data_time: 3.032, memory: 30693, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0295, loss_cls: 0.1490, acc: 94.5015, loss_bbox: 0.1897, loss_mask: 0.2059, loss: 0.5947 +2022-09-23 04:02:57,498 - mmdet - INFO - Epoch [28][100/7330] lr: 1.000e-05, eta: 8:18:24, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0289, loss_cls: 0.1396, acc: 94.8542, loss_bbox: 0.1838, loss_mask: 0.2017, loss: 0.5726 +2022-09-23 04:03:19,712 - mmdet - INFO - Epoch [28][150/7330] lr: 1.000e-05, eta: 8:18:01, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0305, loss_cls: 0.1496, acc: 94.4031, loss_bbox: 0.1980, loss_mask: 0.2057, loss: 0.6028 +2022-09-23 04:03:41,382 - mmdet - INFO - Epoch [28][200/7330] lr: 1.000e-05, eta: 8:17:38, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0278, loss_cls: 0.1380, acc: 94.8110, loss_bbox: 0.1855, loss_mask: 0.2047, loss: 0.5734 +2022-09-23 04:04:03,266 - mmdet - INFO - Epoch [28][250/7330] lr: 1.000e-05, eta: 8:17:15, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0271, loss_cls: 0.1379, acc: 94.8782, loss_bbox: 0.1809, loss_mask: 0.2002, loss: 0.5641 +2022-09-23 04:04:25,643 - mmdet - INFO - Epoch [28][300/7330] lr: 1.000e-05, eta: 8:16:52, time: 0.447, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0299, loss_cls: 0.1500, acc: 94.3604, loss_bbox: 0.1981, loss_mask: 0.2042, loss: 0.6026 +2022-09-23 04:04:47,759 - mmdet - INFO - Epoch [28][350/7330] lr: 1.000e-05, eta: 8:16:29, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0315, loss_cls: 0.1522, acc: 94.4216, loss_bbox: 0.1964, loss_mask: 0.2038, loss: 0.6056 +2022-09-23 04:05:09,724 - mmdet - INFO - Epoch [28][400/7330] lr: 1.000e-05, eta: 8:16:06, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0278, loss_cls: 0.1411, acc: 94.7698, loss_bbox: 0.1861, loss_mask: 0.1959, loss: 0.5678 +2022-09-23 04:05:31,805 - mmdet - INFO - Epoch [28][450/7330] lr: 1.000e-05, eta: 8:15:43, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0299, loss_cls: 0.1458, acc: 94.6746, loss_bbox: 0.1909, loss_mask: 0.1994, loss: 0.5840 +2022-09-23 04:05:54,051 - mmdet - INFO - Epoch [28][500/7330] lr: 1.000e-05, eta: 8:15:20, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0289, loss_cls: 0.1444, acc: 94.6619, loss_bbox: 0.1913, loss_mask: 0.2005, loss: 0.5841 +2022-09-23 04:06:16,163 - mmdet - INFO - Epoch [28][550/7330] lr: 1.000e-05, eta: 8:14:57, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0278, loss_cls: 0.1411, acc: 94.6484, loss_bbox: 0.1877, loss_mask: 0.2006, loss: 0.5733 +2022-09-23 04:06:38,297 - mmdet - INFO - Epoch [28][600/7330] lr: 1.000e-05, eta: 8:14:34, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0285, loss_cls: 0.1455, acc: 94.5195, loss_bbox: 0.1909, loss_mask: 0.2012, loss: 0.5847 +2022-09-23 04:07:00,202 - mmdet - INFO - Epoch [28][650/7330] lr: 1.000e-05, eta: 8:14:11, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0300, loss_cls: 0.1518, acc: 94.3515, loss_bbox: 0.2004, loss_mask: 0.2009, loss: 0.6017 +2022-09-23 04:07:21,963 - mmdet - INFO - Epoch [28][700/7330] lr: 1.000e-05, eta: 8:13:48, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0274, loss_cls: 0.1415, acc: 94.7158, loss_bbox: 0.1844, loss_mask: 0.1962, loss: 0.5677 +2022-09-23 04:07:43,674 - mmdet - INFO - Epoch [28][750/7330] lr: 1.000e-05, eta: 8:13:25, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0284, loss_cls: 0.1498, acc: 94.5283, loss_bbox: 0.1932, loss_mask: 0.1985, loss: 0.5880 +2022-09-23 04:08:05,729 - mmdet - INFO - Epoch [28][800/7330] lr: 1.000e-05, eta: 8:13:02, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0283, loss_cls: 0.1444, acc: 94.6321, loss_bbox: 0.1904, loss_mask: 0.2025, loss: 0.5833 +2022-09-23 04:08:27,740 - mmdet - INFO - Epoch [28][850/7330] lr: 1.000e-05, eta: 8:12:39, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0273, loss_cls: 0.1409, acc: 94.7292, loss_bbox: 0.1868, loss_mask: 0.1982, loss: 0.5706 +2022-09-23 04:08:49,574 - mmdet - INFO - Epoch [28][900/7330] lr: 1.000e-05, eta: 8:12:16, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0292, loss_cls: 0.1464, acc: 94.5774, loss_bbox: 0.1916, loss_mask: 0.2004, loss: 0.5870 +2022-09-23 04:09:11,591 - mmdet - INFO - Epoch [28][950/7330] lr: 1.000e-05, eta: 8:11:53, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1449, acc: 94.5857, loss_bbox: 0.1898, loss_mask: 0.1993, loss: 0.5811 +2022-09-23 04:09:33,102 - mmdet - INFO - Epoch [28][1000/7330] lr: 1.000e-05, eta: 8:11:30, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0294, loss_cls: 0.1419, acc: 94.6621, loss_bbox: 0.1927, loss_mask: 0.2037, loss: 0.5867 +2022-09-23 04:09:54,871 - mmdet - INFO - Epoch [28][1050/7330] lr: 1.000e-05, eta: 8:11:06, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0261, loss_cls: 0.1390, acc: 94.8948, loss_bbox: 0.1824, loss_mask: 0.1975, loss: 0.5614 +2022-09-23 04:10:16,869 - mmdet - INFO - Epoch [28][1100/7330] lr: 1.000e-05, eta: 8:10:43, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0278, loss_cls: 0.1420, acc: 94.6504, loss_bbox: 0.1913, loss_mask: 0.2017, loss: 0.5820 +2022-09-23 04:10:38,787 - mmdet - INFO - Epoch [28][1150/7330] lr: 1.000e-05, eta: 8:10:20, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0291, loss_cls: 0.1458, acc: 94.6887, loss_bbox: 0.1927, loss_mask: 0.2060, loss: 0.5924 +2022-09-23 04:11:00,448 - mmdet - INFO - Epoch [28][1200/7330] lr: 1.000e-05, eta: 8:09:57, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0278, loss_cls: 0.1407, acc: 94.7192, loss_bbox: 0.1909, loss_mask: 0.1985, loss: 0.5754 +2022-09-23 04:11:22,057 - mmdet - INFO - Epoch [28][1250/7330] lr: 1.000e-05, eta: 8:09:34, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0271, loss_cls: 0.1353, acc: 95.0298, loss_bbox: 0.1778, loss_mask: 0.1975, loss: 0.5540 +2022-09-23 04:11:43,796 - mmdet - INFO - Epoch [28][1300/7330] lr: 1.000e-05, eta: 8:09:11, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0271, loss_cls: 0.1391, acc: 94.8430, loss_bbox: 0.1803, loss_mask: 0.1950, loss: 0.5592 +2022-09-23 04:12:05,681 - mmdet - INFO - Epoch [28][1350/7330] lr: 1.000e-05, eta: 8:08:48, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0281, loss_cls: 0.1371, acc: 94.9319, loss_bbox: 0.1831, loss_mask: 0.1983, loss: 0.5641 +2022-09-23 04:12:27,802 - mmdet - INFO - Epoch [28][1400/7330] lr: 1.000e-05, eta: 8:08:25, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0282, loss_cls: 0.1470, acc: 94.5042, loss_bbox: 0.1912, loss_mask: 0.2008, loss: 0.5865 +2022-09-23 04:12:49,904 - mmdet - INFO - Epoch [28][1450/7330] lr: 1.000e-05, eta: 8:08:02, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0292, loss_cls: 0.1460, acc: 94.5950, loss_bbox: 0.1971, loss_mask: 0.2012, loss: 0.5911 +2022-09-23 04:13:11,826 - mmdet - INFO - Epoch [28][1500/7330] lr: 1.000e-05, eta: 8:07:39, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0280, loss_cls: 0.1462, acc: 94.6072, loss_bbox: 0.1916, loss_mask: 0.2007, loss: 0.5831 +2022-09-23 04:13:33,569 - mmdet - INFO - Epoch [28][1550/7330] lr: 1.000e-05, eta: 8:07:16, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0274, loss_cls: 0.1431, acc: 94.6768, loss_bbox: 0.1862, loss_mask: 0.2007, loss: 0.5758 +2022-09-23 04:13:55,143 - mmdet - INFO - Epoch [28][1600/7330] lr: 1.000e-05, eta: 8:06:53, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0276, loss_cls: 0.1403, acc: 94.8469, loss_bbox: 0.1806, loss_mask: 0.2017, loss: 0.5693 +2022-09-23 04:14:16,928 - mmdet - INFO - Epoch [28][1650/7330] lr: 1.000e-05, eta: 8:06:29, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0292, loss_cls: 0.1417, acc: 94.6536, loss_bbox: 0.1910, loss_mask: 0.2024, loss: 0.5825 +2022-09-23 04:14:38,595 - mmdet - INFO - Epoch [28][1700/7330] lr: 1.000e-05, eta: 8:06:06, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0303, loss_cls: 0.1512, acc: 94.2999, loss_bbox: 0.1968, loss_mask: 0.2011, loss: 0.6024 +2022-09-23 04:15:01,279 - mmdet - INFO - Epoch [28][1750/7330] lr: 1.000e-05, eta: 8:05:44, time: 0.454, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0296, loss_cls: 0.1442, acc: 94.5762, loss_bbox: 0.1954, loss_mask: 0.2041, loss: 0.5904 +2022-09-23 04:15:22,914 - mmdet - INFO - Epoch [28][1800/7330] lr: 1.000e-05, eta: 8:05:20, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0280, loss_cls: 0.1412, acc: 94.7674, loss_bbox: 0.1853, loss_mask: 0.1984, loss: 0.5717 +2022-09-23 04:15:44,542 - mmdet - INFO - Epoch [28][1850/7330] lr: 1.000e-05, eta: 8:04:57, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0280, loss_cls: 0.1417, acc: 94.6997, loss_bbox: 0.1886, loss_mask: 0.2018, loss: 0.5779 +2022-09-23 04:16:06,436 - mmdet - INFO - Epoch [28][1900/7330] lr: 1.000e-05, eta: 8:04:34, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0288, loss_cls: 0.1471, acc: 94.4529, loss_bbox: 0.1955, loss_mask: 0.1981, loss: 0.5880 +2022-09-23 04:16:28,143 - mmdet - INFO - Epoch [28][1950/7330] lr: 1.000e-05, eta: 8:04:11, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0279, loss_cls: 0.1395, acc: 94.7812, loss_bbox: 0.1848, loss_mask: 0.1986, loss: 0.5695 +2022-09-23 04:16:50,095 - mmdet - INFO - Epoch [28][2000/7330] lr: 1.000e-05, eta: 8:03:48, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0293, loss_cls: 0.1388, acc: 94.7129, loss_bbox: 0.1877, loss_mask: 0.2017, loss: 0.5776 +2022-09-23 04:17:11,928 - mmdet - INFO - Epoch [28][2050/7330] lr: 1.000e-05, eta: 8:03:25, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0273, loss_cls: 0.1415, acc: 94.7070, loss_bbox: 0.1868, loss_mask: 0.2021, loss: 0.5760 +2022-09-23 04:17:33,666 - mmdet - INFO - Epoch [28][2100/7330] lr: 1.000e-05, eta: 8:03:02, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0271, loss_cls: 0.1363, acc: 94.8535, loss_bbox: 0.1840, loss_mask: 0.1950, loss: 0.5609 +2022-09-23 04:17:55,775 - mmdet - INFO - Epoch [28][2150/7330] lr: 1.000e-05, eta: 8:02:39, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1450, acc: 94.6018, loss_bbox: 0.1931, loss_mask: 0.1976, loss: 0.5826 +2022-09-23 04:18:17,360 - mmdet - INFO - Epoch [28][2200/7330] lr: 1.000e-05, eta: 8:02:16, time: 0.432, data_time: 0.012, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0275, loss_cls: 0.1417, acc: 94.8408, loss_bbox: 0.1855, loss_mask: 0.1964, loss: 0.5681 +2022-09-23 04:18:39,095 - mmdet - INFO - Epoch [28][2250/7330] lr: 1.000e-05, eta: 8:01:53, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0288, loss_cls: 0.1417, acc: 94.7263, loss_bbox: 0.1910, loss_mask: 0.2031, loss: 0.5837 +2022-09-23 04:19:01,228 - mmdet - INFO - Epoch [28][2300/7330] lr: 1.000e-05, eta: 8:01:30, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0255, loss_cls: 0.1328, acc: 94.9795, loss_bbox: 0.1801, loss_mask: 0.1934, loss: 0.5497 +2022-09-23 04:19:23,834 - mmdet - INFO - Epoch [28][2350/7330] lr: 1.000e-05, eta: 8:01:07, time: 0.451, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0287, loss_cls: 0.1441, acc: 94.5376, loss_bbox: 0.1899, loss_mask: 0.2017, loss: 0.5820 +2022-09-23 04:19:45,672 - mmdet - INFO - Epoch [28][2400/7330] lr: 1.000e-05, eta: 8:00:44, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0270, loss_cls: 0.1362, acc: 95.0237, loss_bbox: 0.1801, loss_mask: 0.1997, loss: 0.5594 +2022-09-23 04:20:07,398 - mmdet - INFO - Epoch [28][2450/7330] lr: 1.000e-05, eta: 8:00:21, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0273, loss_cls: 0.1389, acc: 94.8403, loss_bbox: 0.1878, loss_mask: 0.2004, loss: 0.5717 +2022-09-23 04:20:29,152 - mmdet - INFO - Epoch [28][2500/7330] lr: 1.000e-05, eta: 7:59:58, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0289, loss_cls: 0.1409, acc: 94.7554, loss_bbox: 0.1928, loss_mask: 0.1998, loss: 0.5816 +2022-09-23 04:20:51,790 - mmdet - INFO - Epoch [28][2550/7330] lr: 1.000e-05, eta: 7:59:35, time: 0.453, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0281, loss_cls: 0.1380, acc: 94.9209, loss_bbox: 0.1825, loss_mask: 0.2008, loss: 0.5683 +2022-09-23 04:21:13,444 - mmdet - INFO - Epoch [28][2600/7330] lr: 1.000e-05, eta: 7:59:12, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0260, loss_cls: 0.1367, acc: 94.8152, loss_bbox: 0.1850, loss_mask: 0.1979, loss: 0.5630 +2022-09-23 04:21:36,069 - mmdet - INFO - Epoch [28][2650/7330] lr: 1.000e-05, eta: 7:58:49, time: 0.453, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0280, loss_cls: 0.1361, acc: 94.7679, loss_bbox: 0.1889, loss_mask: 0.2027, loss: 0.5730 +2022-09-23 04:21:58,098 - mmdet - INFO - Epoch [28][2700/7330] lr: 1.000e-05, eta: 7:58:26, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0303, loss_cls: 0.1461, acc: 94.4758, loss_bbox: 0.1968, loss_mask: 0.2041, loss: 0.5966 +2022-09-23 04:22:19,860 - mmdet - INFO - Epoch [28][2750/7330] lr: 1.000e-05, eta: 7:58:03, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0278, loss_cls: 0.1397, acc: 94.8179, loss_bbox: 0.1825, loss_mask: 0.1977, loss: 0.5650 +2022-09-23 04:22:41,503 - mmdet - INFO - Epoch [28][2800/7330] lr: 1.000e-05, eta: 7:57:40, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0278, loss_cls: 0.1409, acc: 94.7417, loss_bbox: 0.1905, loss_mask: 0.2024, loss: 0.5807 +2022-09-23 04:23:02,895 - mmdet - INFO - Epoch [28][2850/7330] lr: 1.000e-05, eta: 7:57:17, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0260, loss_cls: 0.1405, acc: 94.8210, loss_bbox: 0.1834, loss_mask: 0.2005, loss: 0.5687 +2022-09-23 04:23:24,273 - mmdet - INFO - Epoch [28][2900/7330] lr: 1.000e-05, eta: 7:56:53, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0299, loss_cls: 0.1436, acc: 94.6890, loss_bbox: 0.1868, loss_mask: 0.2027, loss: 0.5818 +2022-09-23 04:23:46,211 - mmdet - INFO - Epoch [28][2950/7330] lr: 1.000e-05, eta: 7:56:30, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0273, loss_cls: 0.1398, acc: 94.7175, loss_bbox: 0.1835, loss_mask: 0.1956, loss: 0.5643 +2022-09-23 04:24:08,222 - mmdet - INFO - Epoch [28][3000/7330] lr: 1.000e-05, eta: 7:56:07, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0284, loss_cls: 0.1444, acc: 94.6777, loss_bbox: 0.1844, loss_mask: 0.2000, loss: 0.5773 +2022-09-23 04:24:30,291 - mmdet - INFO - Epoch [28][3050/7330] lr: 1.000e-05, eta: 7:55:44, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0270, loss_cls: 0.1381, acc: 94.9023, loss_bbox: 0.1865, loss_mask: 0.1956, loss: 0.5651 +2022-09-23 04:24:52,183 - mmdet - INFO - Epoch [28][3100/7330] lr: 1.000e-05, eta: 7:55:21, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0290, loss_cls: 0.1499, acc: 94.3071, loss_bbox: 0.1968, loss_mask: 0.1990, loss: 0.5927 +2022-09-23 04:25:13,640 - mmdet - INFO - Epoch [28][3150/7330] lr: 1.000e-05, eta: 7:54:58, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0256, loss_cls: 0.1346, acc: 94.9236, loss_bbox: 0.1785, loss_mask: 0.1976, loss: 0.5524 +2022-09-23 04:25:35,421 - mmdet - INFO - Epoch [28][3200/7330] lr: 1.000e-05, eta: 7:54:35, time: 0.436, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0270, loss_cls: 0.1390, acc: 94.7563, loss_bbox: 0.1855, loss_mask: 0.1986, loss: 0.5649 +2022-09-23 04:25:57,647 - mmdet - INFO - Epoch [28][3250/7330] lr: 1.000e-05, eta: 7:54:12, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0287, loss_cls: 0.1386, acc: 94.7749, loss_bbox: 0.1854, loss_mask: 0.1983, loss: 0.5688 +2022-09-23 04:26:19,822 - mmdet - INFO - Epoch [28][3300/7330] lr: 1.000e-05, eta: 7:53:49, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0289, loss_cls: 0.1423, acc: 94.6228, loss_bbox: 0.1942, loss_mask: 0.1999, loss: 0.5822 +2022-09-23 04:26:41,443 - mmdet - INFO - Epoch [28][3350/7330] lr: 1.000e-05, eta: 7:53:26, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0263, loss_cls: 0.1339, acc: 95.0571, loss_bbox: 0.1751, loss_mask: 0.1892, loss: 0.5413 +2022-09-23 04:27:03,283 - mmdet - INFO - Epoch [28][3400/7330] lr: 1.000e-05, eta: 7:53:03, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0278, loss_cls: 0.1415, acc: 94.8025, loss_bbox: 0.1841, loss_mask: 0.2025, loss: 0.5735 +2022-09-23 04:27:24,928 - mmdet - INFO - Epoch [28][3450/7330] lr: 1.000e-05, eta: 7:52:40, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0268, loss_cls: 0.1365, acc: 94.8206, loss_bbox: 0.1832, loss_mask: 0.2007, loss: 0.5632 +2022-09-23 04:27:46,742 - mmdet - INFO - Epoch [28][3500/7330] lr: 1.000e-05, eta: 7:52:17, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0274, loss_cls: 0.1443, acc: 94.6509, loss_bbox: 0.1929, loss_mask: 0.2031, loss: 0.5867 +2022-09-23 04:28:09,159 - mmdet - INFO - Epoch [28][3550/7330] lr: 1.000e-05, eta: 7:51:54, time: 0.448, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0281, loss_cls: 0.1363, acc: 94.9915, loss_bbox: 0.1800, loss_mask: 0.1963, loss: 0.5574 +2022-09-23 04:28:31,322 - mmdet - INFO - Epoch [28][3600/7330] lr: 1.000e-05, eta: 7:51:31, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0294, loss_cls: 0.1392, acc: 94.7588, loss_bbox: 0.1805, loss_mask: 0.1965, loss: 0.5631 +2022-09-23 04:28:52,774 - mmdet - INFO - Epoch [28][3650/7330] lr: 1.000e-05, eta: 7:51:08, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0285, loss_cls: 0.1401, acc: 94.8345, loss_bbox: 0.1868, loss_mask: 0.1994, loss: 0.5722 +2022-09-23 04:29:14,979 - mmdet - INFO - Epoch [28][3700/7330] lr: 1.000e-05, eta: 7:50:45, time: 0.444, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0298, loss_cls: 0.1435, acc: 94.6375, loss_bbox: 0.1902, loss_mask: 0.2005, loss: 0.5822 +2022-09-23 04:29:37,143 - mmdet - INFO - Epoch [28][3750/7330] lr: 1.000e-05, eta: 7:50:22, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0298, loss_cls: 0.1461, acc: 94.5056, loss_bbox: 0.1917, loss_mask: 0.2034, loss: 0.5895 +2022-09-23 04:29:59,261 - mmdet - INFO - Epoch [28][3800/7330] lr: 1.000e-05, eta: 7:49:59, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0270, loss_cls: 0.1399, acc: 94.7661, loss_bbox: 0.1865, loss_mask: 0.2002, loss: 0.5719 +2022-09-23 04:30:21,019 - mmdet - INFO - Epoch [28][3850/7330] lr: 1.000e-05, eta: 7:49:36, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0275, loss_cls: 0.1421, acc: 94.7581, loss_bbox: 0.1876, loss_mask: 0.2013, loss: 0.5762 +2022-09-23 04:30:42,799 - mmdet - INFO - Epoch [28][3900/7330] lr: 1.000e-05, eta: 7:49:13, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0293, loss_cls: 0.1441, acc: 94.5769, loss_bbox: 0.1914, loss_mask: 0.2048, loss: 0.5880 +2022-09-23 04:31:04,471 - mmdet - INFO - Epoch [28][3950/7330] lr: 1.000e-05, eta: 7:48:50, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0291, loss_cls: 0.1405, acc: 94.7458, loss_bbox: 0.1827, loss_mask: 0.1939, loss: 0.5634 +2022-09-23 04:31:25,999 - mmdet - INFO - Epoch [28][4000/7330] lr: 1.000e-05, eta: 7:48:27, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0263, loss_cls: 0.1336, acc: 95.0286, loss_bbox: 0.1745, loss_mask: 0.1930, loss: 0.5450 +2022-09-23 04:31:47,678 - mmdet - INFO - Epoch [28][4050/7330] lr: 1.000e-05, eta: 7:48:04, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0278, loss_cls: 0.1341, acc: 94.9221, loss_bbox: 0.1842, loss_mask: 0.2031, loss: 0.5666 +2022-09-23 04:32:09,343 - mmdet - INFO - Epoch [28][4100/7330] lr: 1.000e-05, eta: 7:47:41, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0298, loss_cls: 0.1447, acc: 94.5630, loss_bbox: 0.1945, loss_mask: 0.2023, loss: 0.5915 +2022-09-23 04:32:31,061 - mmdet - INFO - Epoch [28][4150/7330] lr: 1.000e-05, eta: 7:47:17, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0269, loss_cls: 0.1336, acc: 94.9751, loss_bbox: 0.1788, loss_mask: 0.1950, loss: 0.5508 +2022-09-23 04:32:53,173 - mmdet - INFO - Epoch [28][4200/7330] lr: 1.000e-05, eta: 7:46:54, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0286, loss_cls: 0.1401, acc: 94.7842, loss_bbox: 0.1859, loss_mask: 0.1977, loss: 0.5711 +2022-09-23 04:33:14,878 - mmdet - INFO - Epoch [28][4250/7330] lr: 1.000e-05, eta: 7:46:31, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0279, loss_cls: 0.1434, acc: 94.6724, loss_bbox: 0.1924, loss_mask: 0.2030, loss: 0.5849 +2022-09-23 04:33:36,762 - mmdet - INFO - Epoch [28][4300/7330] lr: 1.000e-05, eta: 7:46:08, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0293, loss_cls: 0.1435, acc: 94.6140, loss_bbox: 0.1938, loss_mask: 0.1993, loss: 0.5842 +2022-09-23 04:33:58,888 - mmdet - INFO - Epoch [28][4350/7330] lr: 1.000e-05, eta: 7:45:45, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0274, loss_cls: 0.1377, acc: 94.9094, loss_bbox: 0.1830, loss_mask: 0.1996, loss: 0.5651 +2022-09-23 04:34:20,858 - mmdet - INFO - Epoch [28][4400/7330] lr: 1.000e-05, eta: 7:45:23, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0285, loss_cls: 0.1473, acc: 94.4639, loss_bbox: 0.1956, loss_mask: 0.2022, loss: 0.5928 +2022-09-23 04:34:43,176 - mmdet - INFO - Epoch [28][4450/7330] lr: 1.000e-05, eta: 7:45:00, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0277, loss_cls: 0.1393, acc: 94.7764, loss_bbox: 0.1826, loss_mask: 0.1943, loss: 0.5617 +2022-09-23 04:35:04,992 - mmdet - INFO - Epoch [28][4500/7330] lr: 1.000e-05, eta: 7:44:37, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0291, loss_cls: 0.1444, acc: 94.6257, loss_bbox: 0.1912, loss_mask: 0.2043, loss: 0.5871 +2022-09-23 04:35:26,964 - mmdet - INFO - Epoch [28][4550/7330] lr: 1.000e-05, eta: 7:44:14, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0303, loss_cls: 0.1439, acc: 94.6826, loss_bbox: 0.1910, loss_mask: 0.1999, loss: 0.5839 +2022-09-23 04:35:48,932 - mmdet - INFO - Epoch [28][4600/7330] lr: 1.000e-05, eta: 7:43:51, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0287, loss_cls: 0.1453, acc: 94.5884, loss_bbox: 0.1942, loss_mask: 0.2003, loss: 0.5863 +2022-09-23 04:36:10,932 - mmdet - INFO - Epoch [28][4650/7330] lr: 1.000e-05, eta: 7:43:28, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0289, loss_cls: 0.1417, acc: 94.6968, loss_bbox: 0.1869, loss_mask: 0.1973, loss: 0.5729 +2022-09-23 04:36:32,881 - mmdet - INFO - Epoch [28][4700/7330] lr: 1.000e-05, eta: 7:43:05, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0283, loss_cls: 0.1336, acc: 94.9690, loss_bbox: 0.1831, loss_mask: 0.1969, loss: 0.5577 +2022-09-23 04:36:54,692 - mmdet - INFO - Epoch [28][4750/7330] lr: 1.000e-05, eta: 7:42:42, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0287, loss_cls: 0.1448, acc: 94.5798, loss_bbox: 0.1917, loss_mask: 0.2025, loss: 0.5865 +2022-09-23 04:37:16,411 - mmdet - INFO - Epoch [28][4800/7330] lr: 1.000e-05, eta: 7:42:19, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0260, loss_cls: 0.1343, acc: 94.8752, loss_bbox: 0.1827, loss_mask: 0.2008, loss: 0.5593 +2022-09-23 04:37:38,527 - mmdet - INFO - Epoch [28][4850/7330] lr: 1.000e-05, eta: 7:41:56, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0285, loss_cls: 0.1451, acc: 94.4802, loss_bbox: 0.1950, loss_mask: 0.2019, loss: 0.5883 +2022-09-23 04:38:00,533 - mmdet - INFO - Epoch [28][4900/7330] lr: 1.000e-05, eta: 7:41:33, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0307, loss_cls: 0.1478, acc: 94.5388, loss_bbox: 0.1979, loss_mask: 0.2033, loss: 0.5990 +2022-09-23 04:38:23,118 - mmdet - INFO - Epoch [28][4950/7330] lr: 1.000e-05, eta: 7:41:10, time: 0.452, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0299, loss_cls: 0.1453, acc: 94.5471, loss_bbox: 0.1931, loss_mask: 0.2054, loss: 0.5912 +2022-09-23 04:38:44,941 - mmdet - INFO - Epoch [28][5000/7330] lr: 1.000e-05, eta: 7:40:47, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0258, loss_cls: 0.1355, acc: 94.9890, loss_bbox: 0.1763, loss_mask: 0.1927, loss: 0.5473 +2022-09-23 04:39:06,764 - mmdet - INFO - Epoch [28][5050/7330] lr: 1.000e-05, eta: 7:40:24, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0307, loss_cls: 0.1533, acc: 94.2754, loss_bbox: 0.2004, loss_mask: 0.2091, loss: 0.6123 +2022-09-23 04:39:29,019 - mmdet - INFO - Epoch [28][5100/7330] lr: 1.000e-05, eta: 7:40:01, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0278, loss_cls: 0.1411, acc: 94.6418, loss_bbox: 0.1888, loss_mask: 0.1988, loss: 0.5729 +2022-09-23 04:39:50,880 - mmdet - INFO - Epoch [28][5150/7330] lr: 1.000e-05, eta: 7:39:38, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0284, loss_cls: 0.1367, acc: 94.8521, loss_bbox: 0.1824, loss_mask: 0.1999, loss: 0.5648 +2022-09-23 04:40:12,577 - mmdet - INFO - Epoch [28][5200/7330] lr: 1.000e-05, eta: 7:39:15, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0273, loss_cls: 0.1405, acc: 94.7275, loss_bbox: 0.1846, loss_mask: 0.1941, loss: 0.5625 +2022-09-23 04:40:34,349 - mmdet - INFO - Epoch [28][5250/7330] lr: 1.000e-05, eta: 7:38:52, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0284, loss_cls: 0.1415, acc: 94.7354, loss_bbox: 0.1890, loss_mask: 0.2017, loss: 0.5793 +2022-09-23 04:40:56,619 - mmdet - INFO - Epoch [28][5300/7330] lr: 1.000e-05, eta: 7:38:29, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0290, loss_cls: 0.1446, acc: 94.6099, loss_bbox: 0.1894, loss_mask: 0.1983, loss: 0.5801 +2022-09-23 04:41:18,599 - mmdet - INFO - Epoch [28][5350/7330] lr: 1.000e-05, eta: 7:38:06, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0249, loss_cls: 0.1308, acc: 95.1387, loss_bbox: 0.1759, loss_mask: 0.1956, loss: 0.5440 +2022-09-23 04:41:40,542 - mmdet - INFO - Epoch [28][5400/7330] lr: 1.000e-05, eta: 7:37:43, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0246, loss_cls: 0.1282, acc: 95.1213, loss_bbox: 0.1757, loss_mask: 0.1933, loss: 0.5378 +2022-09-23 04:42:02,667 - mmdet - INFO - Epoch [28][5450/7330] lr: 1.000e-05, eta: 7:37:20, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0290, loss_cls: 0.1408, acc: 94.7397, loss_bbox: 0.1882, loss_mask: 0.1996, loss: 0.5743 +2022-09-23 04:42:24,394 - mmdet - INFO - Epoch [28][5500/7330] lr: 1.000e-05, eta: 7:36:57, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0266, loss_cls: 0.1355, acc: 94.9907, loss_bbox: 0.1819, loss_mask: 0.1987, loss: 0.5602 +2022-09-23 04:42:45,631 - mmdet - INFO - Epoch [28][5550/7330] lr: 1.000e-05, eta: 7:36:34, time: 0.425, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0260, loss_cls: 0.1356, acc: 95.0090, loss_bbox: 0.1804, loss_mask: 0.1945, loss: 0.5546 +2022-09-23 04:43:07,122 - mmdet - INFO - Epoch [28][5600/7330] lr: 1.000e-05, eta: 7:36:11, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0275, loss_cls: 0.1359, acc: 94.9009, loss_bbox: 0.1804, loss_mask: 0.1974, loss: 0.5586 +2022-09-23 04:43:28,887 - mmdet - INFO - Epoch [28][5650/7330] lr: 1.000e-05, eta: 7:35:48, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0285, loss_cls: 0.1404, acc: 94.7706, loss_bbox: 0.1852, loss_mask: 0.2001, loss: 0.5731 +2022-09-23 04:43:50,973 - mmdet - INFO - Epoch [28][5700/7330] lr: 1.000e-05, eta: 7:35:25, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0295, loss_cls: 0.1392, acc: 94.7495, loss_bbox: 0.1846, loss_mask: 0.2031, loss: 0.5761 +2022-09-23 04:44:12,768 - mmdet - INFO - Epoch [28][5750/7330] lr: 1.000e-05, eta: 7:35:02, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0269, loss_cls: 0.1404, acc: 94.7512, loss_bbox: 0.1827, loss_mask: 0.1953, loss: 0.5626 +2022-09-23 04:44:34,535 - mmdet - INFO - Epoch [28][5800/7330] lr: 1.000e-05, eta: 7:34:39, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0258, loss_cls: 0.1352, acc: 94.8713, loss_bbox: 0.1809, loss_mask: 0.1942, loss: 0.5520 +2022-09-23 04:44:56,227 - mmdet - INFO - Epoch [28][5850/7330] lr: 1.000e-05, eta: 7:34:16, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0283, loss_cls: 0.1372, acc: 94.8823, loss_bbox: 0.1835, loss_mask: 0.1971, loss: 0.5641 +2022-09-23 04:45:18,574 - mmdet - INFO - Epoch [28][5900/7330] lr: 1.000e-05, eta: 7:33:53, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0266, loss_cls: 0.1367, acc: 94.8653, loss_bbox: 0.1853, loss_mask: 0.1987, loss: 0.5634 +2022-09-23 04:45:40,205 - mmdet - INFO - Epoch [28][5950/7330] lr: 1.000e-05, eta: 7:33:30, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0264, loss_cls: 0.1323, acc: 95.0190, loss_bbox: 0.1807, loss_mask: 0.1949, loss: 0.5518 +2022-09-23 04:46:01,924 - mmdet - INFO - Epoch [28][6000/7330] lr: 1.000e-05, eta: 7:33:07, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0279, loss_cls: 0.1342, acc: 94.9309, loss_bbox: 0.1768, loss_mask: 0.1950, loss: 0.5510 +2022-09-23 04:46:24,022 - mmdet - INFO - Epoch [28][6050/7330] lr: 1.000e-05, eta: 7:32:44, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0276, loss_cls: 0.1416, acc: 94.7075, loss_bbox: 0.1853, loss_mask: 0.1966, loss: 0.5681 +2022-09-23 04:46:45,834 - mmdet - INFO - Epoch [28][6100/7330] lr: 1.000e-05, eta: 7:32:21, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0281, loss_cls: 0.1379, acc: 94.8289, loss_bbox: 0.1848, loss_mask: 0.2010, loss: 0.5699 +2022-09-23 04:47:07,332 - mmdet - INFO - Epoch [28][6150/7330] lr: 1.000e-05, eta: 7:31:58, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0261, loss_cls: 0.1320, acc: 95.0842, loss_bbox: 0.1793, loss_mask: 0.1972, loss: 0.5493 +2022-09-23 04:47:29,046 - mmdet - INFO - Epoch [28][6200/7330] lr: 1.000e-05, eta: 7:31:35, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0280, loss_cls: 0.1368, acc: 94.8103, loss_bbox: 0.1872, loss_mask: 0.1948, loss: 0.5634 +2022-09-23 04:47:50,798 - mmdet - INFO - Epoch [28][6250/7330] lr: 1.000e-05, eta: 7:31:12, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0279, loss_cls: 0.1387, acc: 94.7393, loss_bbox: 0.1858, loss_mask: 0.1961, loss: 0.5666 +2022-09-23 04:48:12,600 - mmdet - INFO - Epoch [28][6300/7330] lr: 1.000e-05, eta: 7:30:49, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0280, loss_cls: 0.1354, acc: 94.8721, loss_bbox: 0.1818, loss_mask: 0.1979, loss: 0.5609 +2022-09-23 04:48:34,577 - mmdet - INFO - Epoch [28][6350/7330] lr: 1.000e-05, eta: 7:30:26, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0268, loss_cls: 0.1323, acc: 95.0889, loss_bbox: 0.1730, loss_mask: 0.1953, loss: 0.5440 +2022-09-23 04:48:56,280 - mmdet - INFO - Epoch [28][6400/7330] lr: 1.000e-05, eta: 7:30:03, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0284, loss_cls: 0.1416, acc: 94.5938, loss_bbox: 0.1906, loss_mask: 0.2016, loss: 0.5809 +2022-09-23 04:49:18,229 - mmdet - INFO - Epoch [28][6450/7330] lr: 1.000e-05, eta: 7:29:40, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0286, loss_cls: 0.1398, acc: 94.7930, loss_bbox: 0.1826, loss_mask: 0.1986, loss: 0.5685 +2022-09-23 04:49:40,159 - mmdet - INFO - Epoch [28][6500/7330] lr: 1.000e-05, eta: 7:29:17, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0294, loss_cls: 0.1414, acc: 94.6606, loss_bbox: 0.1952, loss_mask: 0.2015, loss: 0.5846 +2022-09-23 04:50:02,066 - mmdet - INFO - Epoch [28][6550/7330] lr: 1.000e-05, eta: 7:28:54, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0287, loss_cls: 0.1349, acc: 94.8093, loss_bbox: 0.1833, loss_mask: 0.1977, loss: 0.5634 +2022-09-23 04:50:23,837 - mmdet - INFO - Epoch [28][6600/7330] lr: 1.000e-05, eta: 7:28:31, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0257, loss_cls: 0.1368, acc: 94.9468, loss_bbox: 0.1825, loss_mask: 0.2005, loss: 0.5620 +2022-09-23 04:50:45,580 - mmdet - INFO - Epoch [28][6650/7330] lr: 1.000e-05, eta: 7:28:08, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0267, loss_cls: 0.1396, acc: 94.8191, loss_bbox: 0.1856, loss_mask: 0.2017, loss: 0.5706 +2022-09-23 04:51:07,293 - mmdet - INFO - Epoch [28][6700/7330] lr: 1.000e-05, eta: 7:27:45, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0291, loss_cls: 0.1380, acc: 94.7920, loss_bbox: 0.1873, loss_mask: 0.1957, loss: 0.5662 +2022-09-23 04:51:28,782 - mmdet - INFO - Epoch [28][6750/7330] lr: 1.000e-05, eta: 7:27:21, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0284, loss_cls: 0.1372, acc: 94.7976, loss_bbox: 0.1829, loss_mask: 0.1935, loss: 0.5583 +2022-09-23 04:51:50,498 - mmdet - INFO - Epoch [28][6800/7330] lr: 1.000e-05, eta: 7:26:58, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0296, loss_cls: 0.1376, acc: 94.8015, loss_bbox: 0.1855, loss_mask: 0.1960, loss: 0.5683 +2022-09-23 04:52:12,255 - mmdet - INFO - Epoch [28][6850/7330] lr: 1.000e-05, eta: 7:26:35, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0299, loss_cls: 0.1423, acc: 94.6506, loss_bbox: 0.1909, loss_mask: 0.1996, loss: 0.5794 +2022-09-23 04:52:33,804 - mmdet - INFO - Epoch [28][6900/7330] lr: 1.000e-05, eta: 7:26:12, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0304, loss_cls: 0.1458, acc: 94.4707, loss_bbox: 0.1968, loss_mask: 0.2032, loss: 0.5944 +2022-09-23 04:52:55,419 - mmdet - INFO - Epoch [28][6950/7330] lr: 1.000e-05, eta: 7:25:49, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0287, loss_cls: 0.1370, acc: 94.8286, loss_bbox: 0.1875, loss_mask: 0.2009, loss: 0.5708 +2022-09-23 04:53:17,568 - mmdet - INFO - Epoch [28][7000/7330] lr: 1.000e-05, eta: 7:25:26, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0299, loss_cls: 0.1447, acc: 94.6196, loss_bbox: 0.1885, loss_mask: 0.1967, loss: 0.5775 +2022-09-23 04:53:39,290 - mmdet - INFO - Epoch [28][7050/7330] lr: 1.000e-05, eta: 7:25:03, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0289, loss_cls: 0.1444, acc: 94.5867, loss_bbox: 0.1930, loss_mask: 0.2046, loss: 0.5891 +2022-09-23 04:54:00,969 - mmdet - INFO - Epoch [28][7100/7330] lr: 1.000e-05, eta: 7:24:40, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0270, loss_cls: 0.1373, acc: 94.9441, loss_bbox: 0.1799, loss_mask: 0.1969, loss: 0.5590 +2022-09-23 04:54:23,334 - mmdet - INFO - Epoch [28][7150/7330] lr: 1.000e-05, eta: 7:24:17, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0271, loss_cls: 0.1399, acc: 94.8630, loss_bbox: 0.1875, loss_mask: 0.2007, loss: 0.5737 +2022-09-23 04:54:45,254 - mmdet - INFO - Epoch [28][7200/7330] lr: 1.000e-05, eta: 7:23:54, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1354, acc: 94.9358, loss_bbox: 0.1831, loss_mask: 0.1984, loss: 0.5606 +2022-09-23 04:55:07,363 - mmdet - INFO - Epoch [28][7250/7330] lr: 1.000e-05, eta: 7:23:32, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0281, loss_cls: 0.1454, acc: 94.6264, loss_bbox: 0.1915, loss_mask: 0.2027, loss: 0.5879 +2022-09-23 04:55:29,010 - mmdet - INFO - Epoch [28][7300/7330] lr: 1.000e-05, eta: 7:23:08, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0303, loss_cls: 0.1462, acc: 94.5164, loss_bbox: 0.1942, loss_mask: 0.2067, loss: 0.5968 +2022-09-23 04:55:52,065 - mmdet - INFO - Saving checkpoint at 28 epochs +2022-09-23 04:58:20,014 - mmdet - INFO - Evaluating bbox... +2022-09-23 04:58:44,964 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.507 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.720 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.556 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.345 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.653 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.457 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.663 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.773 + +2022-09-23 04:58:44,966 - mmdet - INFO - Evaluating segm... +2022-09-23 04:59:10,971 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.450 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.693 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.483 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.262 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.481 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.636 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.391 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.600 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.721 + +2022-09-23 04:59:11,359 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 04:59:11,359 - mmdet - INFO - Epoch(val) [28][625] bbox_mAP: 0.5070, bbox_mAP_50: 0.7200, bbox_mAP_75: 0.5560, bbox_mAP_s: 0.3450, bbox_mAP_m: 0.5420, bbox_mAP_l: 0.6530, bbox_mAP_copypaste: 0.507 0.720 0.556 0.345 0.542 0.653, segm_mAP: 0.4500, segm_mAP_50: 0.6930, segm_mAP_75: 0.4830, segm_mAP_s: 0.2620, segm_mAP_m: 0.4810, segm_mAP_l: 0.6360, segm_mAP_copypaste: 0.450 0.693 0.483 0.262 0.481 0.636 +2022-09-23 05:01:57,366 - mmdet - INFO - Epoch [29][50/7330] lr: 1.000e-05, eta: 7:23:24, time: 3.320, data_time: 2.869, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0258, loss_cls: 0.1283, acc: 95.1396, loss_bbox: 0.1752, loss_mask: 0.1952, loss: 0.5394 +2022-09-23 05:02:20,100 - mmdet - INFO - Epoch [29][100/7330] lr: 1.000e-05, eta: 7:23:01, time: 0.455, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0299, loss_cls: 0.1489, acc: 94.5142, loss_bbox: 0.1935, loss_mask: 0.2018, loss: 0.5929 +2022-09-23 05:02:42,171 - mmdet - INFO - Epoch [29][150/7330] lr: 1.000e-05, eta: 7:22:38, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0268, loss_cls: 0.1298, acc: 95.0933, loss_bbox: 0.1796, loss_mask: 0.2025, loss: 0.5550 +2022-09-23 05:03:04,796 - mmdet - INFO - Epoch [29][200/7330] lr: 1.000e-05, eta: 7:22:16, time: 0.453, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0291, loss_cls: 0.1435, acc: 94.6484, loss_bbox: 0.1912, loss_mask: 0.2029, loss: 0.5857 +2022-09-23 05:03:26,850 - mmdet - INFO - Epoch [29][250/7330] lr: 1.000e-05, eta: 7:21:53, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0238, loss_cls: 0.1312, acc: 95.1765, loss_bbox: 0.1745, loss_mask: 0.1921, loss: 0.5370 +2022-09-23 05:03:49,046 - mmdet - INFO - Epoch [29][300/7330] lr: 1.000e-05, eta: 7:21:30, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0268, loss_cls: 0.1357, acc: 94.8792, loss_bbox: 0.1820, loss_mask: 0.1960, loss: 0.5580 +2022-09-23 05:04:11,444 - mmdet - INFO - Epoch [29][350/7330] lr: 1.000e-05, eta: 7:21:07, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0271, loss_cls: 0.1366, acc: 94.8491, loss_bbox: 0.1844, loss_mask: 0.1949, loss: 0.5598 +2022-09-23 05:04:33,402 - mmdet - INFO - Epoch [29][400/7330] lr: 1.000e-05, eta: 7:20:44, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0277, loss_cls: 0.1339, acc: 95.0181, loss_bbox: 0.1832, loss_mask: 0.1911, loss: 0.5524 +2022-09-23 05:04:55,522 - mmdet - INFO - Epoch [29][450/7330] lr: 1.000e-05, eta: 7:20:21, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0277, loss_cls: 0.1325, acc: 94.9817, loss_bbox: 0.1827, loss_mask: 0.1968, loss: 0.5560 +2022-09-23 05:05:17,564 - mmdet - INFO - Epoch [29][500/7330] lr: 1.000e-05, eta: 7:19:58, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0274, loss_cls: 0.1357, acc: 94.8672, loss_bbox: 0.1872, loss_mask: 0.1957, loss: 0.5627 +2022-09-23 05:05:39,754 - mmdet - INFO - Epoch [29][550/7330] lr: 1.000e-05, eta: 7:19:35, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0281, loss_cls: 0.1348, acc: 94.9673, loss_bbox: 0.1833, loss_mask: 0.1974, loss: 0.5593 +2022-09-23 05:06:02,015 - mmdet - INFO - Epoch [29][600/7330] lr: 1.000e-05, eta: 7:19:12, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0293, loss_cls: 0.1393, acc: 94.7761, loss_bbox: 0.1877, loss_mask: 0.1996, loss: 0.5736 +2022-09-23 05:06:24,351 - mmdet - INFO - Epoch [29][650/7330] lr: 1.000e-05, eta: 7:18:49, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0278, loss_cls: 0.1302, acc: 95.0881, loss_bbox: 0.1798, loss_mask: 0.2006, loss: 0.5566 +2022-09-23 05:06:46,795 - mmdet - INFO - Epoch [29][700/7330] lr: 1.000e-05, eta: 7:18:27, time: 0.449, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0267, loss_cls: 0.1420, acc: 94.7104, loss_bbox: 0.1881, loss_mask: 0.1937, loss: 0.5665 +2022-09-23 05:07:08,873 - mmdet - INFO - Epoch [29][750/7330] lr: 1.000e-05, eta: 7:18:04, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0269, loss_cls: 0.1380, acc: 94.8525, loss_bbox: 0.1856, loss_mask: 0.1950, loss: 0.5628 +2022-09-23 05:07:30,782 - mmdet - INFO - Epoch [29][800/7330] lr: 1.000e-05, eta: 7:17:41, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0274, loss_cls: 0.1352, acc: 95.0371, loss_bbox: 0.1813, loss_mask: 0.1987, loss: 0.5574 +2022-09-23 05:07:52,830 - mmdet - INFO - Epoch [29][850/7330] lr: 1.000e-05, eta: 7:17:18, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1442, acc: 94.7000, loss_bbox: 0.1901, loss_mask: 0.1984, loss: 0.5788 +2022-09-23 05:08:14,778 - mmdet - INFO - Epoch [29][900/7330] lr: 1.000e-05, eta: 7:16:55, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0276, loss_cls: 0.1388, acc: 94.7656, loss_bbox: 0.1903, loss_mask: 0.2052, loss: 0.5785 +2022-09-23 05:08:36,567 - mmdet - INFO - Epoch [29][950/7330] lr: 1.000e-05, eta: 7:16:32, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0267, loss_cls: 0.1333, acc: 95.0273, loss_bbox: 0.1846, loss_mask: 0.1937, loss: 0.5547 +2022-09-23 05:08:57,984 - mmdet - INFO - Epoch [29][1000/7330] lr: 1.000e-05, eta: 7:16:08, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0287, loss_cls: 0.1412, acc: 94.7607, loss_bbox: 0.1892, loss_mask: 0.1977, loss: 0.5763 +2022-09-23 05:09:19,782 - mmdet - INFO - Epoch [29][1050/7330] lr: 1.000e-05, eta: 7:15:45, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0266, loss_cls: 0.1367, acc: 94.9136, loss_bbox: 0.1831, loss_mask: 0.1982, loss: 0.5626 +2022-09-23 05:09:41,682 - mmdet - INFO - Epoch [29][1100/7330] lr: 1.000e-05, eta: 7:15:22, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0260, loss_cls: 0.1304, acc: 95.0193, loss_bbox: 0.1774, loss_mask: 0.1881, loss: 0.5375 +2022-09-23 05:10:03,569 - mmdet - INFO - Epoch [29][1150/7330] lr: 1.000e-05, eta: 7:14:59, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0278, loss_cls: 0.1378, acc: 94.8999, loss_bbox: 0.1865, loss_mask: 0.1999, loss: 0.5699 +2022-09-23 05:10:25,389 - mmdet - INFO - Epoch [29][1200/7330] lr: 1.000e-05, eta: 7:14:36, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0287, loss_cls: 0.1421, acc: 94.6886, loss_bbox: 0.1916, loss_mask: 0.2028, loss: 0.5835 +2022-09-23 05:10:47,315 - mmdet - INFO - Epoch [29][1250/7330] lr: 1.000e-05, eta: 7:14:13, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0281, loss_cls: 0.1364, acc: 94.9033, loss_bbox: 0.1829, loss_mask: 0.1948, loss: 0.5602 +2022-09-23 05:11:09,120 - mmdet - INFO - Epoch [29][1300/7330] lr: 1.000e-05, eta: 7:13:50, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0255, loss_cls: 0.1340, acc: 94.9377, loss_bbox: 0.1788, loss_mask: 0.1980, loss: 0.5536 +2022-09-23 05:11:31,062 - mmdet - INFO - Epoch [29][1350/7330] lr: 1.000e-05, eta: 7:13:27, time: 0.439, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0286, loss_cls: 0.1349, acc: 94.7808, loss_bbox: 0.1852, loss_mask: 0.2006, loss: 0.5677 +2022-09-23 05:11:53,192 - mmdet - INFO - Epoch [29][1400/7330] lr: 1.000e-05, eta: 7:13:04, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0285, loss_cls: 0.1389, acc: 94.8042, loss_bbox: 0.1853, loss_mask: 0.1961, loss: 0.5670 +2022-09-23 05:12:15,029 - mmdet - INFO - Epoch [29][1450/7330] lr: 1.000e-05, eta: 7:12:41, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0261, loss_cls: 0.1322, acc: 94.9521, loss_bbox: 0.1820, loss_mask: 0.1968, loss: 0.5543 +2022-09-23 05:12:36,884 - mmdet - INFO - Epoch [29][1500/7330] lr: 1.000e-05, eta: 7:12:18, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1398, acc: 94.7349, loss_bbox: 0.1865, loss_mask: 0.1921, loss: 0.5616 +2022-09-23 05:12:58,601 - mmdet - INFO - Epoch [29][1550/7330] lr: 1.000e-05, eta: 7:11:55, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0273, loss_cls: 0.1344, acc: 94.9194, loss_bbox: 0.1792, loss_mask: 0.1909, loss: 0.5498 +2022-09-23 05:13:20,477 - mmdet - INFO - Epoch [29][1600/7330] lr: 1.000e-05, eta: 7:11:32, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0269, loss_cls: 0.1357, acc: 94.8118, loss_bbox: 0.1880, loss_mask: 0.1996, loss: 0.5673 +2022-09-23 05:13:42,706 - mmdet - INFO - Epoch [29][1650/7330] lr: 1.000e-05, eta: 7:11:09, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0268, loss_cls: 0.1348, acc: 94.8801, loss_bbox: 0.1817, loss_mask: 0.1951, loss: 0.5560 +2022-09-23 05:14:04,461 - mmdet - INFO - Epoch [29][1700/7330] lr: 1.000e-05, eta: 7:10:46, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0294, loss_cls: 0.1446, acc: 94.5510, loss_bbox: 0.1914, loss_mask: 0.2028, loss: 0.5864 +2022-09-23 05:14:26,245 - mmdet - INFO - Epoch [29][1750/7330] lr: 1.000e-05, eta: 7:10:23, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0301, loss_cls: 0.1354, acc: 94.9297, loss_bbox: 0.1814, loss_mask: 0.1975, loss: 0.5624 +2022-09-23 05:14:48,358 - mmdet - INFO - Epoch [29][1800/7330] lr: 1.000e-05, eta: 7:10:00, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0263, loss_cls: 0.1301, acc: 95.0491, loss_bbox: 0.1755, loss_mask: 0.1952, loss: 0.5427 +2022-09-23 05:15:10,248 - mmdet - INFO - Epoch [29][1850/7330] lr: 1.000e-05, eta: 7:09:37, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0284, loss_cls: 0.1406, acc: 94.6643, loss_bbox: 0.1888, loss_mask: 0.2006, loss: 0.5778 +2022-09-23 05:15:32,081 - mmdet - INFO - Epoch [29][1900/7330] lr: 1.000e-05, eta: 7:09:14, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0299, loss_cls: 0.1465, acc: 94.5667, loss_bbox: 0.1952, loss_mask: 0.2017, loss: 0.5918 +2022-09-23 05:15:53,705 - mmdet - INFO - Epoch [29][1950/7330] lr: 1.000e-05, eta: 7:08:51, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0265, loss_cls: 0.1303, acc: 95.0717, loss_bbox: 0.1796, loss_mask: 0.1973, loss: 0.5507 +2022-09-23 05:16:15,692 - mmdet - INFO - Epoch [29][2000/7330] lr: 1.000e-05, eta: 7:08:28, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0279, loss_cls: 0.1363, acc: 94.8479, loss_bbox: 0.1831, loss_mask: 0.1927, loss: 0.5590 +2022-09-23 05:16:37,440 - mmdet - INFO - Epoch [29][2050/7330] lr: 1.000e-05, eta: 7:08:05, time: 0.435, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0300, loss_cls: 0.1429, acc: 94.6211, loss_bbox: 0.1913, loss_mask: 0.2019, loss: 0.5859 +2022-09-23 05:16:59,032 - mmdet - INFO - Epoch [29][2100/7330] lr: 1.000e-05, eta: 7:07:42, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0290, loss_cls: 0.1408, acc: 94.7168, loss_bbox: 0.1909, loss_mask: 0.2011, loss: 0.5802 +2022-09-23 05:17:20,561 - mmdet - INFO - Epoch [29][2150/7330] lr: 1.000e-05, eta: 7:07:19, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0262, loss_cls: 0.1271, acc: 95.2742, loss_bbox: 0.1705, loss_mask: 0.1901, loss: 0.5297 +2022-09-23 05:17:42,264 - mmdet - INFO - Epoch [29][2200/7330] lr: 1.000e-05, eta: 7:06:56, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0261, loss_cls: 0.1374, acc: 94.8750, loss_bbox: 0.1851, loss_mask: 0.1976, loss: 0.5618 +2022-09-23 05:18:04,564 - mmdet - INFO - Epoch [29][2250/7330] lr: 1.000e-05, eta: 7:06:33, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0271, loss_cls: 0.1304, acc: 95.0750, loss_bbox: 0.1792, loss_mask: 0.1956, loss: 0.5499 +2022-09-23 05:18:26,538 - mmdet - INFO - Epoch [29][2300/7330] lr: 1.000e-05, eta: 7:06:10, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0274, loss_cls: 0.1340, acc: 94.9934, loss_bbox: 0.1809, loss_mask: 0.1977, loss: 0.5573 +2022-09-23 05:18:48,077 - mmdet - INFO - Epoch [29][2350/7330] lr: 1.000e-05, eta: 7:05:47, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0255, loss_cls: 0.1315, acc: 95.0393, loss_bbox: 0.1818, loss_mask: 0.1945, loss: 0.5507 +2022-09-23 05:19:09,629 - mmdet - INFO - Epoch [29][2400/7330] lr: 1.000e-05, eta: 7:05:24, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0253, loss_cls: 0.1297, acc: 95.1558, loss_bbox: 0.1744, loss_mask: 0.1921, loss: 0.5376 +2022-09-23 05:19:31,436 - mmdet - INFO - Epoch [29][2450/7330] lr: 1.000e-05, eta: 7:05:01, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0276, loss_cls: 0.1310, acc: 95.0829, loss_bbox: 0.1783, loss_mask: 0.1921, loss: 0.5441 +2022-09-23 05:19:53,089 - mmdet - INFO - Epoch [29][2500/7330] lr: 1.000e-05, eta: 7:04:38, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0257, loss_cls: 0.1280, acc: 95.1868, loss_bbox: 0.1745, loss_mask: 0.1881, loss: 0.5320 +2022-09-23 05:20:15,129 - mmdet - INFO - Epoch [29][2550/7330] lr: 1.000e-05, eta: 7:04:15, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0271, loss_cls: 0.1307, acc: 95.1240, loss_bbox: 0.1759, loss_mask: 0.1955, loss: 0.5465 +2022-09-23 05:20:37,483 - mmdet - INFO - Epoch [29][2600/7330] lr: 1.000e-05, eta: 7:03:52, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0286, loss_cls: 0.1406, acc: 94.7156, loss_bbox: 0.1866, loss_mask: 0.2008, loss: 0.5758 +2022-09-23 05:20:59,530 - mmdet - INFO - Epoch [29][2650/7330] lr: 1.000e-05, eta: 7:03:29, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0282, loss_cls: 0.1414, acc: 94.6936, loss_bbox: 0.1896, loss_mask: 0.1951, loss: 0.5727 +2022-09-23 05:21:21,901 - mmdet - INFO - Epoch [29][2700/7330] lr: 1.000e-05, eta: 7:03:06, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0258, loss_cls: 0.1284, acc: 95.1211, loss_bbox: 0.1773, loss_mask: 0.1902, loss: 0.5379 +2022-09-23 05:21:44,298 - mmdet - INFO - Epoch [29][2750/7330] lr: 1.000e-05, eta: 7:02:43, time: 0.448, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0290, loss_cls: 0.1421, acc: 94.6943, loss_bbox: 0.1893, loss_mask: 0.1961, loss: 0.5735 +2022-09-23 05:22:05,957 - mmdet - INFO - Epoch [29][2800/7330] lr: 1.000e-05, eta: 7:02:20, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0275, loss_cls: 0.1425, acc: 94.7168, loss_bbox: 0.1867, loss_mask: 0.1979, loss: 0.5725 +2022-09-23 05:22:27,795 - mmdet - INFO - Epoch [29][2850/7330] lr: 1.000e-05, eta: 7:01:57, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0273, loss_cls: 0.1304, acc: 95.1079, loss_bbox: 0.1746, loss_mask: 0.1962, loss: 0.5479 +2022-09-23 05:22:49,863 - mmdet - INFO - Epoch [29][2900/7330] lr: 1.000e-05, eta: 7:01:34, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0252, loss_cls: 0.1275, acc: 95.1335, loss_bbox: 0.1782, loss_mask: 0.1928, loss: 0.5387 +2022-09-23 05:23:11,421 - mmdet - INFO - Epoch [29][2950/7330] lr: 1.000e-05, eta: 7:01:11, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0291, loss_cls: 0.1409, acc: 94.7615, loss_bbox: 0.1876, loss_mask: 0.2015, loss: 0.5774 +2022-09-23 05:23:33,434 - mmdet - INFO - Epoch [29][3000/7330] lr: 1.000e-05, eta: 7:00:48, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0278, loss_cls: 0.1395, acc: 94.7642, loss_bbox: 0.1868, loss_mask: 0.2027, loss: 0.5746 +2022-09-23 05:23:55,169 - mmdet - INFO - Epoch [29][3050/7330] lr: 1.000e-05, eta: 7:00:25, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0294, loss_cls: 0.1378, acc: 94.8313, loss_bbox: 0.1853, loss_mask: 0.1958, loss: 0.5680 +2022-09-23 05:24:17,117 - mmdet - INFO - Epoch [29][3100/7330] lr: 1.000e-05, eta: 7:00:02, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0271, loss_cls: 0.1366, acc: 94.9143, loss_bbox: 0.1833, loss_mask: 0.1954, loss: 0.5605 +2022-09-23 05:24:38,821 - mmdet - INFO - Epoch [29][3150/7330] lr: 1.000e-05, eta: 6:59:39, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0282, loss_cls: 0.1399, acc: 94.8081, loss_bbox: 0.1877, loss_mask: 0.1978, loss: 0.5709 +2022-09-23 05:25:00,576 - mmdet - INFO - Epoch [29][3200/7330] lr: 1.000e-05, eta: 6:59:16, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0280, loss_cls: 0.1386, acc: 94.7606, loss_bbox: 0.1863, loss_mask: 0.1983, loss: 0.5684 +2022-09-23 05:25:22,226 - mmdet - INFO - Epoch [29][3250/7330] lr: 1.000e-05, eta: 6:58:53, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0304, loss_cls: 0.1417, acc: 94.6875, loss_bbox: 0.1904, loss_mask: 0.2013, loss: 0.5826 +2022-09-23 05:25:43,926 - mmdet - INFO - Epoch [29][3300/7330] lr: 1.000e-05, eta: 6:58:30, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0276, loss_cls: 0.1325, acc: 95.0317, loss_bbox: 0.1805, loss_mask: 0.1934, loss: 0.5514 +2022-09-23 05:26:06,000 - mmdet - INFO - Epoch [29][3350/7330] lr: 1.000e-05, eta: 6:58:07, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0267, loss_cls: 0.1381, acc: 94.7803, loss_bbox: 0.1880, loss_mask: 0.1970, loss: 0.5651 +2022-09-23 05:26:27,565 - mmdet - INFO - Epoch [29][3400/7330] lr: 1.000e-05, eta: 6:57:44, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0270, loss_cls: 0.1331, acc: 94.9893, loss_bbox: 0.1870, loss_mask: 0.1955, loss: 0.5587 +2022-09-23 05:26:49,255 - mmdet - INFO - Epoch [29][3450/7330] lr: 1.000e-05, eta: 6:57:21, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0276, loss_cls: 0.1383, acc: 94.8171, loss_bbox: 0.1841, loss_mask: 0.2014, loss: 0.5678 +2022-09-23 05:27:11,360 - mmdet - INFO - Epoch [29][3500/7330] lr: 1.000e-05, eta: 6:56:58, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0277, loss_cls: 0.1369, acc: 94.8611, loss_bbox: 0.1846, loss_mask: 0.1972, loss: 0.5627 +2022-09-23 05:27:32,838 - mmdet - INFO - Epoch [29][3550/7330] lr: 1.000e-05, eta: 6:56:35, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0260, loss_cls: 0.1325, acc: 94.9910, loss_bbox: 0.1773, loss_mask: 0.1941, loss: 0.5465 +2022-09-23 05:27:54,242 - mmdet - INFO - Epoch [29][3600/7330] lr: 1.000e-05, eta: 6:56:12, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0266, loss_cls: 0.1329, acc: 94.8892, loss_bbox: 0.1850, loss_mask: 0.1990, loss: 0.5601 +2022-09-23 05:28:16,480 - mmdet - INFO - Epoch [29][3650/7330] lr: 1.000e-05, eta: 6:55:49, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0286, loss_cls: 0.1414, acc: 94.6699, loss_bbox: 0.1873, loss_mask: 0.1966, loss: 0.5718 +2022-09-23 05:28:38,484 - mmdet - INFO - Epoch [29][3700/7330] lr: 1.000e-05, eta: 6:55:26, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0261, loss_cls: 0.1329, acc: 94.9612, loss_bbox: 0.1766, loss_mask: 0.1950, loss: 0.5474 +2022-09-23 05:29:00,613 - mmdet - INFO - Epoch [29][3750/7330] lr: 1.000e-05, eta: 6:55:03, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0286, loss_cls: 0.1360, acc: 94.9402, loss_bbox: 0.1818, loss_mask: 0.1937, loss: 0.5588 +2022-09-23 05:29:22,204 - mmdet - INFO - Epoch [29][3800/7330] lr: 1.000e-05, eta: 6:54:40, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0274, loss_cls: 0.1361, acc: 94.8264, loss_bbox: 0.1848, loss_mask: 0.2000, loss: 0.5666 +2022-09-23 05:29:43,564 - mmdet - INFO - Epoch [29][3850/7330] lr: 1.000e-05, eta: 6:54:17, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0281, loss_cls: 0.1400, acc: 94.7434, loss_bbox: 0.1879, loss_mask: 0.2012, loss: 0.5768 +2022-09-23 05:30:05,394 - mmdet - INFO - Epoch [29][3900/7330] lr: 1.000e-05, eta: 6:53:54, time: 0.437, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0272, loss_cls: 0.1375, acc: 94.9045, loss_bbox: 0.1845, loss_mask: 0.1997, loss: 0.5673 +2022-09-23 05:30:27,175 - mmdet - INFO - Epoch [29][3950/7330] lr: 1.000e-05, eta: 6:53:31, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0271, loss_cls: 0.1355, acc: 94.9019, loss_bbox: 0.1808, loss_mask: 0.1944, loss: 0.5522 +2022-09-23 05:30:49,064 - mmdet - INFO - Epoch [29][4000/7330] lr: 1.000e-05, eta: 6:53:08, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0257, loss_cls: 0.1319, acc: 95.0615, loss_bbox: 0.1785, loss_mask: 0.1956, loss: 0.5470 +2022-09-23 05:31:11,166 - mmdet - INFO - Epoch [29][4050/7330] lr: 1.000e-05, eta: 6:52:45, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0284, loss_cls: 0.1400, acc: 94.7898, loss_bbox: 0.1861, loss_mask: 0.2019, loss: 0.5739 +2022-09-23 05:31:33,026 - mmdet - INFO - Epoch [29][4100/7330] lr: 1.000e-05, eta: 6:52:22, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0265, loss_cls: 0.1286, acc: 95.2568, loss_bbox: 0.1748, loss_mask: 0.1866, loss: 0.5339 +2022-09-23 05:31:54,646 - mmdet - INFO - Epoch [29][4150/7330] lr: 1.000e-05, eta: 6:51:59, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0267, loss_cls: 0.1348, acc: 94.9575, loss_bbox: 0.1827, loss_mask: 0.1936, loss: 0.5543 +2022-09-23 05:32:16,459 - mmdet - INFO - Epoch [29][4200/7330] lr: 1.000e-05, eta: 6:51:36, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0263, loss_cls: 0.1319, acc: 95.0774, loss_bbox: 0.1765, loss_mask: 0.1933, loss: 0.5444 +2022-09-23 05:32:38,251 - mmdet - INFO - Epoch [29][4250/7330] lr: 1.000e-05, eta: 6:51:13, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0278, loss_cls: 0.1381, acc: 94.7505, loss_bbox: 0.1896, loss_mask: 0.2042, loss: 0.5758 +2022-09-23 05:32:59,917 - mmdet - INFO - Epoch [29][4300/7330] lr: 1.000e-05, eta: 6:50:50, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0276, loss_cls: 0.1354, acc: 94.8438, loss_bbox: 0.1845, loss_mask: 0.2017, loss: 0.5662 +2022-09-23 05:33:22,055 - mmdet - INFO - Epoch [29][4350/7330] lr: 1.000e-05, eta: 6:50:27, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0278, loss_cls: 0.1378, acc: 94.7246, loss_bbox: 0.1887, loss_mask: 0.1947, loss: 0.5652 +2022-09-23 05:33:43,934 - mmdet - INFO - Epoch [29][4400/7330] lr: 1.000e-05, eta: 6:50:04, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0272, loss_cls: 0.1306, acc: 95.0667, loss_bbox: 0.1794, loss_mask: 0.1973, loss: 0.5509 +2022-09-23 05:34:05,432 - mmdet - INFO - Epoch [29][4450/7330] lr: 1.000e-05, eta: 6:49:41, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0258, loss_cls: 0.1336, acc: 94.9653, loss_bbox: 0.1831, loss_mask: 0.1946, loss: 0.5538 +2022-09-23 05:34:26,679 - mmdet - INFO - Epoch [29][4500/7330] lr: 1.000e-05, eta: 6:49:18, time: 0.425, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0289, loss_cls: 0.1365, acc: 94.8020, loss_bbox: 0.1860, loss_mask: 0.2010, loss: 0.5704 +2022-09-23 05:34:48,588 - mmdet - INFO - Epoch [29][4550/7330] lr: 1.000e-05, eta: 6:48:55, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0277, loss_cls: 0.1382, acc: 94.8647, loss_bbox: 0.1845, loss_mask: 0.2018, loss: 0.5682 +2022-09-23 05:35:10,220 - mmdet - INFO - Epoch [29][4600/7330] lr: 1.000e-05, eta: 6:48:32, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0282, loss_cls: 0.1349, acc: 94.9297, loss_bbox: 0.1819, loss_mask: 0.1972, loss: 0.5597 +2022-09-23 05:35:32,055 - mmdet - INFO - Epoch [29][4650/7330] lr: 1.000e-05, eta: 6:48:09, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0285, loss_cls: 0.1350, acc: 94.9280, loss_bbox: 0.1853, loss_mask: 0.1974, loss: 0.5625 +2022-09-23 05:35:53,413 - mmdet - INFO - Epoch [29][4700/7330] lr: 1.000e-05, eta: 6:47:46, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0258, loss_cls: 0.1327, acc: 95.0317, loss_bbox: 0.1779, loss_mask: 0.1946, loss: 0.5468 +2022-09-23 05:36:14,846 - mmdet - INFO - Epoch [29][4750/7330] lr: 1.000e-05, eta: 6:47:23, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0266, loss_cls: 0.1349, acc: 94.9243, loss_bbox: 0.1818, loss_mask: 0.1972, loss: 0.5591 +2022-09-23 05:36:36,548 - mmdet - INFO - Epoch [29][4800/7330] lr: 1.000e-05, eta: 6:47:00, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0274, loss_cls: 0.1306, acc: 95.1416, loss_bbox: 0.1805, loss_mask: 0.1955, loss: 0.5509 +2022-09-23 05:36:58,948 - mmdet - INFO - Epoch [29][4850/7330] lr: 1.000e-05, eta: 6:46:37, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0292, loss_cls: 0.1403, acc: 94.7273, loss_bbox: 0.1927, loss_mask: 0.2010, loss: 0.5809 +2022-09-23 05:37:20,897 - mmdet - INFO - Epoch [29][4900/7330] lr: 1.000e-05, eta: 6:46:14, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0300, loss_cls: 0.1436, acc: 94.6196, loss_bbox: 0.1896, loss_mask: 0.2050, loss: 0.5874 +2022-09-23 05:37:42,777 - mmdet - INFO - Epoch [29][4950/7330] lr: 1.000e-05, eta: 6:45:51, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0282, loss_cls: 0.1372, acc: 94.7749, loss_bbox: 0.1869, loss_mask: 0.1986, loss: 0.5682 +2022-09-23 05:38:04,690 - mmdet - INFO - Epoch [29][5000/7330] lr: 1.000e-05, eta: 6:45:28, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0289, loss_cls: 0.1409, acc: 94.7178, loss_bbox: 0.1925, loss_mask: 0.1996, loss: 0.5777 +2022-09-23 05:38:26,164 - mmdet - INFO - Epoch [29][5050/7330] lr: 1.000e-05, eta: 6:45:05, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0284, loss_cls: 0.1374, acc: 94.8428, loss_bbox: 0.1851, loss_mask: 0.1986, loss: 0.5671 +2022-09-23 05:38:47,846 - mmdet - INFO - Epoch [29][5100/7330] lr: 1.000e-05, eta: 6:44:42, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0287, loss_cls: 0.1343, acc: 94.9849, loss_bbox: 0.1854, loss_mask: 0.1997, loss: 0.5656 +2022-09-23 05:39:09,265 - mmdet - INFO - Epoch [29][5150/7330] lr: 1.000e-05, eta: 6:44:19, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0281, loss_cls: 0.1337, acc: 94.8940, loss_bbox: 0.1848, loss_mask: 0.1998, loss: 0.5636 +2022-09-23 05:39:30,446 - mmdet - INFO - Epoch [29][5200/7330] lr: 1.000e-05, eta: 6:43:55, time: 0.424, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0274, loss_cls: 0.1358, acc: 94.9014, loss_bbox: 0.1846, loss_mask: 0.1944, loss: 0.5593 +2022-09-23 05:39:52,396 - mmdet - INFO - Epoch [29][5250/7330] lr: 1.000e-05, eta: 6:43:33, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0295, loss_cls: 0.1390, acc: 94.8174, loss_bbox: 0.1875, loss_mask: 0.2028, loss: 0.5762 +2022-09-23 05:40:14,308 - mmdet - INFO - Epoch [29][5300/7330] lr: 1.000e-05, eta: 6:43:10, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0249, loss_cls: 0.1349, acc: 94.9463, loss_bbox: 0.1766, loss_mask: 0.1951, loss: 0.5469 +2022-09-23 05:40:36,135 - mmdet - INFO - Epoch [29][5350/7330] lr: 1.000e-05, eta: 6:42:47, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0274, loss_cls: 0.1372, acc: 94.8989, loss_bbox: 0.1846, loss_mask: 0.1975, loss: 0.5635 +2022-09-23 05:40:57,832 - mmdet - INFO - Epoch [29][5400/7330] lr: 1.000e-05, eta: 6:42:24, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0246, loss_cls: 0.1294, acc: 95.1650, loss_bbox: 0.1717, loss_mask: 0.1907, loss: 0.5322 +2022-09-23 05:41:19,597 - mmdet - INFO - Epoch [29][5450/7330] lr: 1.000e-05, eta: 6:42:01, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0294, loss_cls: 0.1368, acc: 94.8088, loss_bbox: 0.1888, loss_mask: 0.1940, loss: 0.5669 +2022-09-23 05:41:41,397 - mmdet - INFO - Epoch [29][5500/7330] lr: 1.000e-05, eta: 6:41:38, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0272, loss_cls: 0.1377, acc: 94.8530, loss_bbox: 0.1847, loss_mask: 0.1998, loss: 0.5661 +2022-09-23 05:42:02,770 - mmdet - INFO - Epoch [29][5550/7330] lr: 1.000e-05, eta: 6:41:14, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0276, loss_cls: 0.1340, acc: 94.9822, loss_bbox: 0.1793, loss_mask: 0.1946, loss: 0.5524 +2022-09-23 05:42:24,636 - mmdet - INFO - Epoch [29][5600/7330] lr: 1.000e-05, eta: 6:40:52, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0275, loss_cls: 0.1347, acc: 94.9721, loss_bbox: 0.1799, loss_mask: 0.1949, loss: 0.5546 +2022-09-23 05:42:46,515 - mmdet - INFO - Epoch [29][5650/7330] lr: 1.000e-05, eta: 6:40:29, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0257, loss_cls: 0.1295, acc: 95.1917, loss_bbox: 0.1749, loss_mask: 0.1940, loss: 0.5402 +2022-09-23 05:43:08,265 - mmdet - INFO - Epoch [29][5700/7330] lr: 1.000e-05, eta: 6:40:06, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0274, loss_cls: 0.1354, acc: 94.9160, loss_bbox: 0.1790, loss_mask: 0.1983, loss: 0.5585 +2022-09-23 05:43:29,912 - mmdet - INFO - Epoch [29][5750/7330] lr: 1.000e-05, eta: 6:39:43, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0280, loss_cls: 0.1310, acc: 95.0442, loss_bbox: 0.1751, loss_mask: 0.1904, loss: 0.5418 +2022-09-23 05:43:51,571 - mmdet - INFO - Epoch [29][5800/7330] lr: 1.000e-05, eta: 6:39:20, time: 0.433, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0289, loss_cls: 0.1396, acc: 94.7271, loss_bbox: 0.1865, loss_mask: 0.2022, loss: 0.5744 +2022-09-23 05:44:12,783 - mmdet - INFO - Epoch [29][5850/7330] lr: 1.000e-05, eta: 6:38:56, time: 0.424, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0273, loss_cls: 0.1323, acc: 95.0828, loss_bbox: 0.1821, loss_mask: 0.1950, loss: 0.5529 +2022-09-23 05:44:34,503 - mmdet - INFO - Epoch [29][5900/7330] lr: 1.000e-05, eta: 6:38:33, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0296, loss_cls: 0.1463, acc: 94.5005, loss_bbox: 0.1943, loss_mask: 0.2026, loss: 0.5899 +2022-09-23 05:44:56,048 - mmdet - INFO - Epoch [29][5950/7330] lr: 1.000e-05, eta: 6:38:10, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0272, loss_cls: 0.1381, acc: 94.8914, loss_bbox: 0.1854, loss_mask: 0.1989, loss: 0.5674 +2022-09-23 05:45:17,751 - mmdet - INFO - Epoch [29][6000/7330] lr: 1.000e-05, eta: 6:37:47, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0268, loss_cls: 0.1350, acc: 94.9504, loss_bbox: 0.1776, loss_mask: 0.1994, loss: 0.5543 +2022-09-23 05:45:39,355 - mmdet - INFO - Epoch [29][6050/7330] lr: 1.000e-05, eta: 6:37:24, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0278, loss_cls: 0.1325, acc: 95.0757, loss_bbox: 0.1710, loss_mask: 0.1909, loss: 0.5397 +2022-09-23 05:46:01,485 - mmdet - INFO - Epoch [29][6100/7330] lr: 1.000e-05, eta: 6:37:01, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0314, loss_cls: 0.1416, acc: 94.6511, loss_bbox: 0.1911, loss_mask: 0.1966, loss: 0.5785 +2022-09-23 05:46:23,176 - mmdet - INFO - Epoch [29][6150/7330] lr: 1.000e-05, eta: 6:36:38, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0274, loss_cls: 0.1352, acc: 94.9170, loss_bbox: 0.1823, loss_mask: 0.1953, loss: 0.5576 +2022-09-23 05:46:45,298 - mmdet - INFO - Epoch [29][6200/7330] lr: 1.000e-05, eta: 6:36:16, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0291, loss_cls: 0.1389, acc: 94.7656, loss_bbox: 0.1849, loss_mask: 0.1993, loss: 0.5704 +2022-09-23 05:47:07,452 - mmdet - INFO - Epoch [29][6250/7330] lr: 1.000e-05, eta: 6:35:53, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0273, loss_cls: 0.1360, acc: 95.0574, loss_bbox: 0.1791, loss_mask: 0.1965, loss: 0.5552 +2022-09-23 05:47:29,471 - mmdet - INFO - Epoch [29][6300/7330] lr: 1.000e-05, eta: 6:35:30, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1302, acc: 95.1897, loss_bbox: 0.1758, loss_mask: 0.1955, loss: 0.5450 +2022-09-23 05:47:51,498 - mmdet - INFO - Epoch [29][6350/7330] lr: 1.000e-05, eta: 6:35:07, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0276, loss_cls: 0.1349, acc: 94.9705, loss_bbox: 0.1843, loss_mask: 0.1955, loss: 0.5590 +2022-09-23 05:48:13,405 - mmdet - INFO - Epoch [29][6400/7330] lr: 1.000e-05, eta: 6:34:44, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0301, loss_cls: 0.1445, acc: 94.5178, loss_bbox: 0.1960, loss_mask: 0.1976, loss: 0.5871 +2022-09-23 05:48:35,515 - mmdet - INFO - Epoch [29][6450/7330] lr: 1.000e-05, eta: 6:34:21, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0269, loss_cls: 0.1326, acc: 94.9717, loss_bbox: 0.1776, loss_mask: 0.1934, loss: 0.5475 +2022-09-23 05:48:57,205 - mmdet - INFO - Epoch [29][6500/7330] lr: 1.000e-05, eta: 6:33:58, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0270, loss_cls: 0.1371, acc: 94.7932, loss_bbox: 0.1852, loss_mask: 0.1989, loss: 0.5635 +2022-09-23 05:49:18,747 - mmdet - INFO - Epoch [29][6550/7330] lr: 1.000e-05, eta: 6:33:35, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0291, loss_cls: 0.1457, acc: 94.5500, loss_bbox: 0.1953, loss_mask: 0.2017, loss: 0.5907 +2022-09-23 05:49:40,057 - mmdet - INFO - Epoch [29][6600/7330] lr: 1.000e-05, eta: 6:33:12, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0264, loss_cls: 0.1341, acc: 95.0164, loss_bbox: 0.1781, loss_mask: 0.1981, loss: 0.5520 +2022-09-23 05:50:01,982 - mmdet - INFO - Epoch [29][6650/7330] lr: 1.000e-05, eta: 6:32:49, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0324, loss_cls: 0.1512, acc: 94.2888, loss_bbox: 0.2051, loss_mask: 0.2061, loss: 0.6144 +2022-09-23 05:50:23,991 - mmdet - INFO - Epoch [29][6700/7330] lr: 1.000e-05, eta: 6:32:26, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0295, loss_cls: 0.1416, acc: 94.7375, loss_bbox: 0.1890, loss_mask: 0.2008, loss: 0.5798 +2022-09-23 05:50:46,344 - mmdet - INFO - Epoch [29][6750/7330] lr: 1.000e-05, eta: 6:32:03, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0286, loss_cls: 0.1343, acc: 94.8872, loss_bbox: 0.1830, loss_mask: 0.1935, loss: 0.5561 +2022-09-23 05:51:07,962 - mmdet - INFO - Epoch [29][6800/7330] lr: 1.000e-05, eta: 6:31:40, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0260, loss_cls: 0.1374, acc: 94.8083, loss_bbox: 0.1849, loss_mask: 0.1970, loss: 0.5631 +2022-09-23 05:51:29,569 - mmdet - INFO - Epoch [29][6850/7330] lr: 1.000e-05, eta: 6:31:17, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0266, loss_cls: 0.1325, acc: 94.9763, loss_bbox: 0.1794, loss_mask: 0.1942, loss: 0.5480 +2022-09-23 05:51:51,179 - mmdet - INFO - Epoch [29][6900/7330] lr: 1.000e-05, eta: 6:30:54, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0273, loss_cls: 0.1355, acc: 94.8613, loss_bbox: 0.1835, loss_mask: 0.1994, loss: 0.5632 +2022-09-23 05:52:12,836 - mmdet - INFO - Epoch [29][6950/7330] lr: 1.000e-05, eta: 6:30:31, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0278, loss_cls: 0.1316, acc: 95.0620, loss_bbox: 0.1809, loss_mask: 0.1930, loss: 0.5491 +2022-09-23 05:52:34,474 - mmdet - INFO - Epoch [29][7000/7330] lr: 1.000e-05, eta: 6:30:08, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0270, loss_cls: 0.1312, acc: 95.1130, loss_bbox: 0.1803, loss_mask: 0.1939, loss: 0.5483 +2022-09-23 05:52:55,967 - mmdet - INFO - Epoch [29][7050/7330] lr: 1.000e-05, eta: 6:29:45, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0268, loss_cls: 0.1370, acc: 94.8254, loss_bbox: 0.1849, loss_mask: 0.1939, loss: 0.5599 +2022-09-23 05:53:17,822 - mmdet - INFO - Epoch [29][7100/7330] lr: 1.000e-05, eta: 6:29:22, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0294, loss_cls: 0.1455, acc: 94.5554, loss_bbox: 0.1942, loss_mask: 0.2018, loss: 0.5892 +2022-09-23 05:53:39,422 - mmdet - INFO - Epoch [29][7150/7330] lr: 1.000e-05, eta: 6:28:59, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0277, loss_cls: 0.1315, acc: 95.0349, loss_bbox: 0.1792, loss_mask: 0.1919, loss: 0.5472 +2022-09-23 05:54:01,347 - mmdet - INFO - Epoch [29][7200/7330] lr: 1.000e-05, eta: 6:28:36, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0296, loss_cls: 0.1415, acc: 94.7566, loss_bbox: 0.1900, loss_mask: 0.1981, loss: 0.5762 +2022-09-23 05:54:23,134 - mmdet - INFO - Epoch [29][7250/7330] lr: 1.000e-05, eta: 6:28:13, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0271, loss_cls: 0.1344, acc: 95.0044, loss_bbox: 0.1787, loss_mask: 0.1904, loss: 0.5470 +2022-09-23 05:54:45,259 - mmdet - INFO - Epoch [29][7300/7330] lr: 1.000e-05, eta: 6:27:51, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0274, loss_cls: 0.1402, acc: 94.7583, loss_bbox: 0.1878, loss_mask: 0.2021, loss: 0.5754 +2022-09-23 05:55:08,109 - mmdet - INFO - Saving checkpoint at 29 epochs +2022-09-23 05:57:29,601 - mmdet - INFO - Evaluating bbox... +2022-09-23 05:57:55,222 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.509 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.723 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.559 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.349 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.543 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.653 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.628 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.628 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.628 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.463 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.664 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.775 + +2022-09-23 05:57:55,222 - mmdet - INFO - Evaluating segm... +2022-09-23 05:58:21,256 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.453 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.696 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.488 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.261 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.483 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.640 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.564 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.564 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.564 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.396 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.602 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.724 + +2022-09-23 05:58:21,738 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 05:58:21,739 - mmdet - INFO - Epoch(val) [29][625] bbox_mAP: 0.5090, bbox_mAP_50: 0.7230, bbox_mAP_75: 0.5590, bbox_mAP_s: 0.3490, bbox_mAP_m: 0.5430, bbox_mAP_l: 0.6530, bbox_mAP_copypaste: 0.509 0.723 0.559 0.349 0.543 0.653, segm_mAP: 0.4530, segm_mAP_50: 0.6960, segm_mAP_75: 0.4880, segm_mAP_s: 0.2610, segm_mAP_m: 0.4830, segm_mAP_l: 0.6400, segm_mAP_copypaste: 0.453 0.696 0.488 0.261 0.483 0.640 +2022-09-23 06:00:54,011 - mmdet - INFO - Epoch [30][50/7330] lr: 1.000e-05, eta: 6:27:53, time: 3.045, data_time: 2.599, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0285, loss_cls: 0.1419, acc: 94.6321, loss_bbox: 0.1913, loss_mask: 0.1981, loss: 0.5775 +2022-09-23 06:01:16,350 - mmdet - INFO - Epoch [30][100/7330] lr: 1.000e-05, eta: 6:27:30, time: 0.447, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0265, loss_cls: 0.1359, acc: 94.8999, loss_bbox: 0.1838, loss_mask: 0.1932, loss: 0.5561 +2022-09-23 06:01:38,134 - mmdet - INFO - Epoch [30][150/7330] lr: 1.000e-05, eta: 6:27:07, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0261, loss_cls: 0.1286, acc: 95.1511, loss_bbox: 0.1769, loss_mask: 0.1906, loss: 0.5400 +2022-09-23 06:02:00,249 - mmdet - INFO - Epoch [30][200/7330] lr: 1.000e-05, eta: 6:26:44, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0270, loss_cls: 0.1335, acc: 94.9480, loss_bbox: 0.1829, loss_mask: 0.1948, loss: 0.5550 +2022-09-23 06:02:22,279 - mmdet - INFO - Epoch [30][250/7330] lr: 1.000e-05, eta: 6:26:21, time: 0.441, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0274, loss_cls: 0.1326, acc: 94.9915, loss_bbox: 0.1798, loss_mask: 0.1918, loss: 0.5473 +2022-09-23 06:02:45,001 - mmdet - INFO - Epoch [30][300/7330] lr: 1.000e-05, eta: 6:25:58, time: 0.451, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0293, loss_cls: 0.1399, acc: 94.7024, loss_bbox: 0.1944, loss_mask: 0.2036, loss: 0.5846 +2022-09-23 06:03:07,139 - mmdet - INFO - Epoch [30][350/7330] lr: 1.000e-05, eta: 6:25:36, time: 0.446, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0262, loss_cls: 0.1328, acc: 94.9702, loss_bbox: 0.1820, loss_mask: 0.1974, loss: 0.5547 +2022-09-23 06:03:28,508 - mmdet - INFO - Epoch [30][400/7330] lr: 1.000e-05, eta: 6:25:12, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0263, loss_cls: 0.1331, acc: 95.0688, loss_bbox: 0.1819, loss_mask: 0.1952, loss: 0.5522 +2022-09-23 06:03:50,699 - mmdet - INFO - Epoch [30][450/7330] lr: 1.000e-05, eta: 6:24:50, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0296, loss_cls: 0.1399, acc: 94.7214, loss_bbox: 0.1899, loss_mask: 0.1978, loss: 0.5751 +2022-09-23 06:04:12,694 - mmdet - INFO - Epoch [30][500/7330] lr: 1.000e-05, eta: 6:24:27, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0241, loss_cls: 0.1254, acc: 95.1924, loss_bbox: 0.1735, loss_mask: 0.1900, loss: 0.5279 +2022-09-23 06:04:34,190 - mmdet - INFO - Epoch [30][550/7330] lr: 1.000e-05, eta: 6:24:04, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0260, loss_cls: 0.1300, acc: 95.1243, loss_bbox: 0.1730, loss_mask: 0.1955, loss: 0.5399 +2022-09-23 06:04:56,071 - mmdet - INFO - Epoch [30][600/7330] lr: 1.000e-05, eta: 6:23:41, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0256, loss_cls: 0.1308, acc: 95.1594, loss_bbox: 0.1747, loss_mask: 0.1966, loss: 0.5435 +2022-09-23 06:05:17,160 - mmdet - INFO - Epoch [30][650/7330] lr: 1.000e-05, eta: 6:23:17, time: 0.421, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0283, loss_cls: 0.1327, acc: 94.9319, loss_bbox: 0.1842, loss_mask: 0.2028, loss: 0.5648 +2022-09-23 06:05:39,229 - mmdet - INFO - Epoch [30][700/7330] lr: 1.000e-05, eta: 6:22:55, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0280, loss_cls: 0.1413, acc: 94.6389, loss_bbox: 0.1938, loss_mask: 0.2032, loss: 0.5825 +2022-09-23 06:06:01,411 - mmdet - INFO - Epoch [30][750/7330] lr: 1.000e-05, eta: 6:22:32, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0291, loss_cls: 0.1437, acc: 94.5840, loss_bbox: 0.1894, loss_mask: 0.2004, loss: 0.5817 +2022-09-23 06:06:23,133 - mmdet - INFO - Epoch [30][800/7330] lr: 1.000e-05, eta: 6:22:09, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0270, loss_cls: 0.1332, acc: 94.9287, loss_bbox: 0.1821, loss_mask: 0.1914, loss: 0.5511 +2022-09-23 06:06:45,013 - mmdet - INFO - Epoch [30][850/7330] lr: 1.000e-05, eta: 6:21:46, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0257, loss_cls: 0.1352, acc: 94.8752, loss_bbox: 0.1866, loss_mask: 0.1980, loss: 0.5619 +2022-09-23 06:07:06,540 - mmdet - INFO - Epoch [30][900/7330] lr: 1.000e-05, eta: 6:21:23, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0260, loss_cls: 0.1307, acc: 95.0510, loss_bbox: 0.1770, loss_mask: 0.1934, loss: 0.5442 +2022-09-23 06:07:27,658 - mmdet - INFO - Epoch [30][950/7330] lr: 1.000e-05, eta: 6:20:59, time: 0.422, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0268, loss_cls: 0.1369, acc: 94.8081, loss_bbox: 0.1827, loss_mask: 0.1973, loss: 0.5615 +2022-09-23 06:07:49,210 - mmdet - INFO - Epoch [30][1000/7330] lr: 1.000e-05, eta: 6:20:36, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0275, loss_cls: 0.1313, acc: 95.0310, loss_bbox: 0.1761, loss_mask: 0.1936, loss: 0.5463 +2022-09-23 06:08:10,998 - mmdet - INFO - Epoch [30][1050/7330] lr: 1.000e-05, eta: 6:20:13, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0280, loss_cls: 0.1322, acc: 94.9367, loss_bbox: 0.1839, loss_mask: 0.1943, loss: 0.5543 +2022-09-23 06:08:32,467 - mmdet - INFO - Epoch [30][1100/7330] lr: 1.000e-05, eta: 6:19:50, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0279, loss_cls: 0.1376, acc: 94.8091, loss_bbox: 0.1827, loss_mask: 0.1893, loss: 0.5567 +2022-09-23 06:08:53,959 - mmdet - INFO - Epoch [30][1150/7330] lr: 1.000e-05, eta: 6:19:27, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0267, loss_cls: 0.1325, acc: 95.0464, loss_bbox: 0.1759, loss_mask: 0.1977, loss: 0.5500 +2022-09-23 06:09:15,772 - mmdet - INFO - Epoch [30][1200/7330] lr: 1.000e-05, eta: 6:19:04, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0279, loss_cls: 0.1366, acc: 94.8213, loss_bbox: 0.1841, loss_mask: 0.1958, loss: 0.5623 +2022-09-23 06:09:37,451 - mmdet - INFO - Epoch [30][1250/7330] lr: 1.000e-05, eta: 6:18:41, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0266, loss_cls: 0.1342, acc: 94.9607, loss_bbox: 0.1865, loss_mask: 0.1996, loss: 0.5626 +2022-09-23 06:09:59,310 - mmdet - INFO - Epoch [30][1300/7330] lr: 1.000e-05, eta: 6:18:18, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0253, loss_cls: 0.1319, acc: 95.0344, loss_bbox: 0.1755, loss_mask: 0.1936, loss: 0.5416 +2022-09-23 06:10:21,141 - mmdet - INFO - Epoch [30][1350/7330] lr: 1.000e-05, eta: 6:17:55, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0264, loss_cls: 0.1310, acc: 94.9546, loss_bbox: 0.1824, loss_mask: 0.1937, loss: 0.5489 +2022-09-23 06:10:43,142 - mmdet - INFO - Epoch [30][1400/7330] lr: 1.000e-05, eta: 6:17:32, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0279, loss_cls: 0.1353, acc: 94.9696, loss_bbox: 0.1867, loss_mask: 0.1976, loss: 0.5666 +2022-09-23 06:11:05,232 - mmdet - INFO - Epoch [30][1450/7330] lr: 1.000e-05, eta: 6:17:09, time: 0.442, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0264, loss_cls: 0.1384, acc: 94.8362, loss_bbox: 0.1796, loss_mask: 0.2000, loss: 0.5616 +2022-09-23 06:11:26,908 - mmdet - INFO - Epoch [30][1500/7330] lr: 1.000e-05, eta: 6:16:46, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0264, loss_cls: 0.1288, acc: 95.1357, loss_bbox: 0.1790, loss_mask: 0.1986, loss: 0.5494 +2022-09-23 06:11:48,941 - mmdet - INFO - Epoch [30][1550/7330] lr: 1.000e-05, eta: 6:16:23, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0289, loss_cls: 0.1338, acc: 94.9509, loss_bbox: 0.1818, loss_mask: 0.1954, loss: 0.5581 +2022-09-23 06:12:11,018 - mmdet - INFO - Epoch [30][1600/7330] lr: 1.000e-05, eta: 6:16:01, time: 0.442, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0281, loss_cls: 0.1404, acc: 94.7278, loss_bbox: 0.1892, loss_mask: 0.1995, loss: 0.5750 +2022-09-23 06:12:33,045 - mmdet - INFO - Epoch [30][1650/7330] lr: 1.000e-05, eta: 6:15:38, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0284, loss_cls: 0.1378, acc: 94.7494, loss_bbox: 0.1830, loss_mask: 0.1966, loss: 0.5623 +2022-09-23 06:12:55,066 - mmdet - INFO - Epoch [30][1700/7330] lr: 1.000e-05, eta: 6:15:15, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0286, loss_cls: 0.1413, acc: 94.6912, loss_bbox: 0.1915, loss_mask: 0.1974, loss: 0.5760 +2022-09-23 06:13:16,794 - mmdet - INFO - Epoch [30][1750/7330] lr: 1.000e-05, eta: 6:14:52, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0271, loss_cls: 0.1319, acc: 95.0183, loss_bbox: 0.1774, loss_mask: 0.1923, loss: 0.5456 +2022-09-23 06:13:39,028 - mmdet - INFO - Epoch [30][1800/7330] lr: 1.000e-05, eta: 6:14:29, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0275, loss_cls: 0.1382, acc: 94.8489, loss_bbox: 0.1864, loss_mask: 0.1976, loss: 0.5660 +2022-09-23 06:14:01,265 - mmdet - INFO - Epoch [30][1850/7330] lr: 1.000e-05, eta: 6:14:06, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0282, loss_cls: 0.1363, acc: 94.8162, loss_bbox: 0.1811, loss_mask: 0.1920, loss: 0.5556 +2022-09-23 06:14:22,811 - mmdet - INFO - Epoch [30][1900/7330] lr: 1.000e-05, eta: 6:13:43, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0280, loss_cls: 0.1285, acc: 95.1401, loss_bbox: 0.1770, loss_mask: 0.1935, loss: 0.5442 +2022-09-23 06:14:44,910 - mmdet - INFO - Epoch [30][1950/7330] lr: 1.000e-05, eta: 6:13:20, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0280, loss_cls: 0.1348, acc: 94.9067, loss_bbox: 0.1812, loss_mask: 0.1969, loss: 0.5576 +2022-09-23 06:15:06,545 - mmdet - INFO - Epoch [30][2000/7330] lr: 1.000e-05, eta: 6:12:57, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0283, loss_cls: 0.1336, acc: 94.9604, loss_bbox: 0.1799, loss_mask: 0.1980, loss: 0.5590 +2022-09-23 06:15:28,234 - mmdet - INFO - Epoch [30][2050/7330] lr: 1.000e-05, eta: 6:12:34, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0277, loss_cls: 0.1359, acc: 94.8596, loss_bbox: 0.1853, loss_mask: 0.1963, loss: 0.5611 +2022-09-23 06:15:49,781 - mmdet - INFO - Epoch [30][2100/7330] lr: 1.000e-05, eta: 6:12:11, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0275, loss_cls: 0.1399, acc: 94.7324, loss_bbox: 0.1853, loss_mask: 0.1987, loss: 0.5699 +2022-09-23 06:16:12,487 - mmdet - INFO - Epoch [30][2150/7330] lr: 1.000e-05, eta: 6:11:48, time: 0.454, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0285, loss_cls: 0.1309, acc: 94.9082, loss_bbox: 0.1837, loss_mask: 0.1941, loss: 0.5542 +2022-09-23 06:16:34,211 - mmdet - INFO - Epoch [30][2200/7330] lr: 1.000e-05, eta: 6:11:25, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0257, loss_cls: 0.1326, acc: 95.0212, loss_bbox: 0.1761, loss_mask: 0.1942, loss: 0.5444 +2022-09-23 06:16:56,380 - mmdet - INFO - Epoch [30][2250/7330] lr: 1.000e-05, eta: 6:11:03, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0270, loss_cls: 0.1307, acc: 95.0922, loss_bbox: 0.1791, loss_mask: 0.1859, loss: 0.5381 +2022-09-23 06:17:18,361 - mmdet - INFO - Epoch [30][2300/7330] lr: 1.000e-05, eta: 6:10:40, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0289, loss_cls: 0.1410, acc: 94.7141, loss_bbox: 0.1879, loss_mask: 0.1985, loss: 0.5755 +2022-09-23 06:17:39,876 - mmdet - INFO - Epoch [30][2350/7330] lr: 1.000e-05, eta: 6:10:17, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0261, loss_cls: 0.1250, acc: 95.2803, loss_bbox: 0.1744, loss_mask: 0.1916, loss: 0.5314 +2022-09-23 06:18:02,135 - mmdet - INFO - Epoch [30][2400/7330] lr: 1.000e-05, eta: 6:09:54, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0275, loss_cls: 0.1344, acc: 94.9109, loss_bbox: 0.1838, loss_mask: 0.1930, loss: 0.5544 +2022-09-23 06:18:23,477 - mmdet - INFO - Epoch [30][2450/7330] lr: 1.000e-05, eta: 6:09:31, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0265, loss_cls: 0.1315, acc: 95.0979, loss_bbox: 0.1794, loss_mask: 0.1944, loss: 0.5479 +2022-09-23 06:18:45,188 - mmdet - INFO - Epoch [30][2500/7330] lr: 1.000e-05, eta: 6:09:08, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0291, loss_cls: 0.1396, acc: 94.7112, loss_bbox: 0.1885, loss_mask: 0.1999, loss: 0.5753 +2022-09-23 06:19:06,887 - mmdet - INFO - Epoch [30][2550/7330] lr: 1.000e-05, eta: 6:08:45, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1321, acc: 94.9624, loss_bbox: 0.1802, loss_mask: 0.1958, loss: 0.5512 +2022-09-23 06:19:28,385 - mmdet - INFO - Epoch [30][2600/7330] lr: 1.000e-05, eta: 6:08:22, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0277, loss_cls: 0.1336, acc: 94.9255, loss_bbox: 0.1843, loss_mask: 0.1915, loss: 0.5534 +2022-09-23 06:19:50,340 - mmdet - INFO - Epoch [30][2650/7330] lr: 1.000e-05, eta: 6:07:59, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0279, loss_cls: 0.1370, acc: 94.8347, loss_bbox: 0.1847, loss_mask: 0.1965, loss: 0.5638 +2022-09-23 06:20:12,089 - mmdet - INFO - Epoch [30][2700/7330] lr: 1.000e-05, eta: 6:07:36, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0258, loss_cls: 0.1365, acc: 94.7488, loss_bbox: 0.1869, loss_mask: 0.1921, loss: 0.5569 +2022-09-23 06:20:33,915 - mmdet - INFO - Epoch [30][2750/7330] lr: 1.000e-05, eta: 6:07:13, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0254, loss_cls: 0.1290, acc: 95.1277, loss_bbox: 0.1772, loss_mask: 0.1969, loss: 0.5432 +2022-09-23 06:20:55,942 - mmdet - INFO - Epoch [30][2800/7330] lr: 1.000e-05, eta: 6:06:50, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0293, loss_cls: 0.1373, acc: 94.8154, loss_bbox: 0.1859, loss_mask: 0.1953, loss: 0.5655 +2022-09-23 06:21:17,563 - mmdet - INFO - Epoch [30][2850/7330] lr: 1.000e-05, eta: 6:06:27, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0269, loss_cls: 0.1344, acc: 94.9570, loss_bbox: 0.1835, loss_mask: 0.1969, loss: 0.5578 +2022-09-23 06:21:39,735 - mmdet - INFO - Epoch [30][2900/7330] lr: 1.000e-05, eta: 6:06:04, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0280, loss_cls: 0.1368, acc: 94.7993, loss_bbox: 0.1809, loss_mask: 0.1910, loss: 0.5550 +2022-09-23 06:22:01,775 - mmdet - INFO - Epoch [30][2950/7330] lr: 1.000e-05, eta: 6:05:41, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0276, loss_cls: 0.1313, acc: 95.0159, loss_bbox: 0.1801, loss_mask: 0.1950, loss: 0.5498 +2022-09-23 06:22:23,908 - mmdet - INFO - Epoch [30][3000/7330] lr: 1.000e-05, eta: 6:05:18, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0282, loss_cls: 0.1383, acc: 94.7092, loss_bbox: 0.1876, loss_mask: 0.1970, loss: 0.5690 +2022-09-23 06:22:45,724 - mmdet - INFO - Epoch [30][3050/7330] lr: 1.000e-05, eta: 6:04:55, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0263, loss_cls: 0.1357, acc: 94.9492, loss_bbox: 0.1839, loss_mask: 0.1947, loss: 0.5565 +2022-09-23 06:23:07,604 - mmdet - INFO - Epoch [30][3100/7330] lr: 1.000e-05, eta: 6:04:32, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0264, loss_cls: 0.1301, acc: 95.0291, loss_bbox: 0.1821, loss_mask: 0.1960, loss: 0.5508 +2022-09-23 06:23:29,261 - mmdet - INFO - Epoch [30][3150/7330] lr: 1.000e-05, eta: 6:04:09, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0279, loss_cls: 0.1341, acc: 94.9832, loss_bbox: 0.1832, loss_mask: 0.1973, loss: 0.5601 +2022-09-23 06:23:51,999 - mmdet - INFO - Epoch [30][3200/7330] lr: 1.000e-05, eta: 6:03:47, time: 0.455, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0281, loss_cls: 0.1357, acc: 94.8794, loss_bbox: 0.1841, loss_mask: 0.1961, loss: 0.5636 +2022-09-23 06:24:14,102 - mmdet - INFO - Epoch [30][3250/7330] lr: 1.000e-05, eta: 6:03:24, time: 0.442, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0286, loss_cls: 0.1392, acc: 94.6855, loss_bbox: 0.1833, loss_mask: 0.1961, loss: 0.5652 +2022-09-23 06:24:36,838 - mmdet - INFO - Epoch [30][3300/7330] lr: 1.000e-05, eta: 6:03:01, time: 0.454, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0282, loss_cls: 0.1354, acc: 94.9038, loss_bbox: 0.1864, loss_mask: 0.2021, loss: 0.5689 +2022-09-23 06:24:58,559 - mmdet - INFO - Epoch [30][3350/7330] lr: 1.000e-05, eta: 6:02:38, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0272, loss_cls: 0.1317, acc: 94.9690, loss_bbox: 0.1816, loss_mask: 0.1892, loss: 0.5473 +2022-09-23 06:25:20,555 - mmdet - INFO - Epoch [30][3400/7330] lr: 1.000e-05, eta: 6:02:15, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0276, loss_cls: 0.1405, acc: 94.7373, loss_bbox: 0.1881, loss_mask: 0.1986, loss: 0.5724 +2022-09-23 06:25:42,595 - mmdet - INFO - Epoch [30][3450/7330] lr: 1.000e-05, eta: 6:01:52, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0257, loss_cls: 0.1321, acc: 95.0386, loss_bbox: 0.1808, loss_mask: 0.1984, loss: 0.5520 +2022-09-23 06:26:04,331 - mmdet - INFO - Epoch [30][3500/7330] lr: 1.000e-05, eta: 6:01:29, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0288, loss_cls: 0.1346, acc: 94.9148, loss_bbox: 0.1847, loss_mask: 0.1943, loss: 0.5590 +2022-09-23 06:26:26,530 - mmdet - INFO - Epoch [30][3550/7330] lr: 1.000e-05, eta: 6:01:07, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0274, loss_cls: 0.1278, acc: 95.1736, loss_bbox: 0.1739, loss_mask: 0.1951, loss: 0.5398 +2022-09-23 06:26:48,194 - mmdet - INFO - Epoch [30][3600/7330] lr: 1.000e-05, eta: 6:00:44, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0264, loss_cls: 0.1359, acc: 94.9497, loss_bbox: 0.1827, loss_mask: 0.1965, loss: 0.5586 +2022-09-23 06:27:10,411 - mmdet - INFO - Epoch [30][3650/7330] lr: 1.000e-05, eta: 6:00:21, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0280, loss_cls: 0.1335, acc: 94.9409, loss_bbox: 0.1811, loss_mask: 0.1895, loss: 0.5470 +2022-09-23 06:27:32,688 - mmdet - INFO - Epoch [30][3700/7330] lr: 1.000e-05, eta: 5:59:58, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0265, loss_cls: 0.1315, acc: 95.1012, loss_bbox: 0.1784, loss_mask: 0.1945, loss: 0.5475 +2022-09-23 06:27:54,742 - mmdet - INFO - Epoch [30][3750/7330] lr: 1.000e-05, eta: 5:59:35, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0265, loss_cls: 0.1389, acc: 94.7627, loss_bbox: 0.1848, loss_mask: 0.1986, loss: 0.5663 +2022-09-23 06:28:17,458 - mmdet - INFO - Epoch [30][3800/7330] lr: 1.000e-05, eta: 5:59:12, time: 0.454, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0260, loss_cls: 0.1330, acc: 95.0371, loss_bbox: 0.1802, loss_mask: 0.1997, loss: 0.5549 +2022-09-23 06:28:39,258 - mmdet - INFO - Epoch [30][3850/7330] lr: 1.000e-05, eta: 5:58:49, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0279, loss_cls: 0.1318, acc: 94.9792, loss_bbox: 0.1802, loss_mask: 0.1973, loss: 0.5526 +2022-09-23 06:29:01,473 - mmdet - INFO - Epoch [30][3900/7330] lr: 1.000e-05, eta: 5:58:27, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0259, loss_cls: 0.1349, acc: 94.9677, loss_bbox: 0.1809, loss_mask: 0.1969, loss: 0.5555 +2022-09-23 06:29:23,959 - mmdet - INFO - Epoch [30][3950/7330] lr: 1.000e-05, eta: 5:58:04, time: 0.450, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0278, loss_cls: 0.1322, acc: 95.0039, loss_bbox: 0.1775, loss_mask: 0.1970, loss: 0.5517 +2022-09-23 06:29:45,879 - mmdet - INFO - Epoch [30][4000/7330] lr: 1.000e-05, eta: 5:57:41, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0269, loss_cls: 0.1277, acc: 95.1770, loss_bbox: 0.1738, loss_mask: 0.1953, loss: 0.5403 +2022-09-23 06:30:08,276 - mmdet - INFO - Epoch [30][4050/7330] lr: 1.000e-05, eta: 5:57:18, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0278, loss_cls: 0.1394, acc: 94.8091, loss_bbox: 0.1832, loss_mask: 0.1976, loss: 0.5657 +2022-09-23 06:30:30,041 - mmdet - INFO - Epoch [30][4100/7330] lr: 1.000e-05, eta: 5:56:55, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0269, loss_cls: 0.1348, acc: 94.8767, loss_bbox: 0.1816, loss_mask: 0.1947, loss: 0.5552 +2022-09-23 06:30:51,862 - mmdet - INFO - Epoch [30][4150/7330] lr: 1.000e-05, eta: 5:56:32, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0279, loss_cls: 0.1369, acc: 94.8906, loss_bbox: 0.1805, loss_mask: 0.1990, loss: 0.5619 +2022-09-23 06:31:13,659 - mmdet - INFO - Epoch [30][4200/7330] lr: 1.000e-05, eta: 5:56:09, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0301, loss_cls: 0.1472, acc: 94.5493, loss_bbox: 0.1954, loss_mask: 0.1995, loss: 0.5914 +2022-09-23 06:31:35,911 - mmdet - INFO - Epoch [30][4250/7330] lr: 1.000e-05, eta: 5:55:47, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0272, loss_cls: 0.1288, acc: 95.1306, loss_bbox: 0.1746, loss_mask: 0.1902, loss: 0.5387 +2022-09-23 06:31:58,091 - mmdet - INFO - Epoch [30][4300/7330] lr: 1.000e-05, eta: 5:55:24, time: 0.443, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0280, loss_cls: 0.1364, acc: 94.8606, loss_bbox: 0.1826, loss_mask: 0.1943, loss: 0.5577 +2022-09-23 06:32:20,148 - mmdet - INFO - Epoch [30][4350/7330] lr: 1.000e-05, eta: 5:55:01, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0256, loss_cls: 0.1272, acc: 95.2468, loss_bbox: 0.1746, loss_mask: 0.1970, loss: 0.5400 +2022-09-23 06:32:41,804 - mmdet - INFO - Epoch [30][4400/7330] lr: 1.000e-05, eta: 5:54:38, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0271, loss_cls: 0.1302, acc: 95.1895, loss_bbox: 0.1735, loss_mask: 0.1905, loss: 0.5378 +2022-09-23 06:33:03,791 - mmdet - INFO - Epoch [30][4450/7330] lr: 1.000e-05, eta: 5:54:15, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0284, loss_cls: 0.1369, acc: 94.7769, loss_bbox: 0.1851, loss_mask: 0.1975, loss: 0.5649 +2022-09-23 06:33:25,395 - mmdet - INFO - Epoch [30][4500/7330] lr: 1.000e-05, eta: 5:53:52, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0270, loss_cls: 0.1363, acc: 94.8215, loss_bbox: 0.1831, loss_mask: 0.1993, loss: 0.5634 +2022-09-23 06:33:47,247 - mmdet - INFO - Epoch [30][4550/7330] lr: 1.000e-05, eta: 5:53:29, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0270, loss_cls: 0.1310, acc: 95.0413, loss_bbox: 0.1784, loss_mask: 0.1902, loss: 0.5424 +2022-09-23 06:34:09,186 - mmdet - INFO - Epoch [30][4600/7330] lr: 1.000e-05, eta: 5:53:06, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0293, loss_cls: 0.1457, acc: 94.5012, loss_bbox: 0.2002, loss_mask: 0.2026, loss: 0.5951 +2022-09-23 06:34:30,990 - mmdet - INFO - Epoch [30][4650/7330] lr: 1.000e-05, eta: 5:52:43, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0282, loss_cls: 0.1352, acc: 94.9441, loss_bbox: 0.1856, loss_mask: 0.1980, loss: 0.5627 +2022-09-23 06:34:52,539 - mmdet - INFO - Epoch [30][4700/7330] lr: 1.000e-05, eta: 5:52:20, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0258, loss_cls: 0.1295, acc: 95.1361, loss_bbox: 0.1725, loss_mask: 0.1903, loss: 0.5349 +2022-09-23 06:35:14,227 - mmdet - INFO - Epoch [30][4750/7330] lr: 1.000e-05, eta: 5:51:57, time: 0.434, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0286, loss_cls: 0.1369, acc: 94.7942, loss_bbox: 0.1853, loss_mask: 0.1976, loss: 0.5662 +2022-09-23 06:35:35,909 - mmdet - INFO - Epoch [30][4800/7330] lr: 1.000e-05, eta: 5:51:34, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0263, loss_cls: 0.1357, acc: 94.9758, loss_bbox: 0.1819, loss_mask: 0.1945, loss: 0.5562 +2022-09-23 06:35:57,786 - mmdet - INFO - Epoch [30][4850/7330] lr: 1.000e-05, eta: 5:51:11, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0272, loss_cls: 0.1401, acc: 94.7820, loss_bbox: 0.1913, loss_mask: 0.2038, loss: 0.5792 +2022-09-23 06:36:19,902 - mmdet - INFO - Epoch [30][4900/7330] lr: 1.000e-05, eta: 5:50:49, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0286, loss_cls: 0.1390, acc: 94.7451, loss_bbox: 0.1840, loss_mask: 0.1976, loss: 0.5663 +2022-09-23 06:36:42,000 - mmdet - INFO - Epoch [30][4950/7330] lr: 1.000e-05, eta: 5:50:26, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0277, loss_cls: 0.1353, acc: 94.9104, loss_bbox: 0.1848, loss_mask: 0.1945, loss: 0.5575 +2022-09-23 06:37:04,579 - mmdet - INFO - Epoch [30][5000/7330] lr: 1.000e-05, eta: 5:50:03, time: 0.452, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0297, loss_cls: 0.1391, acc: 94.7339, loss_bbox: 0.1882, loss_mask: 0.2007, loss: 0.5757 +2022-09-23 06:37:25,901 - mmdet - INFO - Epoch [30][5050/7330] lr: 1.000e-05, eta: 5:49:40, time: 0.426, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0271, loss_cls: 0.1325, acc: 94.9636, loss_bbox: 0.1819, loss_mask: 0.1934, loss: 0.5526 +2022-09-23 06:37:47,518 - mmdet - INFO - Epoch [30][5100/7330] lr: 1.000e-05, eta: 5:49:17, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0245, loss_cls: 0.1233, acc: 95.3206, loss_bbox: 0.1731, loss_mask: 0.1894, loss: 0.5249 +2022-09-23 06:38:09,654 - mmdet - INFO - Epoch [30][5150/7330] lr: 1.000e-05, eta: 5:48:54, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0259, loss_cls: 0.1315, acc: 95.0378, loss_bbox: 0.1776, loss_mask: 0.1924, loss: 0.5433 +2022-09-23 06:38:31,468 - mmdet - INFO - Epoch [30][5200/7330] lr: 1.000e-05, eta: 5:48:31, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0264, loss_cls: 0.1340, acc: 95.0620, loss_bbox: 0.1799, loss_mask: 0.1919, loss: 0.5491 +2022-09-23 06:38:53,203 - mmdet - INFO - Epoch [30][5250/7330] lr: 1.000e-05, eta: 5:48:08, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0273, loss_cls: 0.1358, acc: 94.9612, loss_bbox: 0.1834, loss_mask: 0.1928, loss: 0.5582 +2022-09-23 06:39:14,963 - mmdet - INFO - Epoch [30][5300/7330] lr: 1.000e-05, eta: 5:47:45, time: 0.435, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0290, loss_cls: 0.1378, acc: 94.8784, loss_bbox: 0.1876, loss_mask: 0.1993, loss: 0.5711 +2022-09-23 06:39:37,345 - mmdet - INFO - Epoch [30][5350/7330] lr: 1.000e-05, eta: 5:47:23, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0285, loss_cls: 0.1427, acc: 94.6239, loss_bbox: 0.1915, loss_mask: 0.2039, loss: 0.5854 +2022-09-23 06:39:59,000 - mmdet - INFO - Epoch [30][5400/7330] lr: 1.000e-05, eta: 5:47:00, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0277, loss_cls: 0.1334, acc: 95.0276, loss_bbox: 0.1786, loss_mask: 0.1941, loss: 0.5502 +2022-09-23 06:40:20,936 - mmdet - INFO - Epoch [30][5450/7330] lr: 1.000e-05, eta: 5:46:37, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0270, loss_cls: 0.1350, acc: 94.9363, loss_bbox: 0.1851, loss_mask: 0.1937, loss: 0.5571 +2022-09-23 06:40:42,300 - mmdet - INFO - Epoch [30][5500/7330] lr: 1.000e-05, eta: 5:46:14, time: 0.427, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0267, loss_cls: 0.1309, acc: 95.1279, loss_bbox: 0.1774, loss_mask: 0.1944, loss: 0.5450 +2022-09-23 06:41:03,618 - mmdet - INFO - Epoch [30][5550/7330] lr: 1.000e-05, eta: 5:45:51, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0257, loss_cls: 0.1300, acc: 95.0625, loss_bbox: 0.1783, loss_mask: 0.1953, loss: 0.5459 +2022-09-23 06:41:25,157 - mmdet - INFO - Epoch [30][5600/7330] lr: 1.000e-05, eta: 5:45:28, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0284, loss_cls: 0.1360, acc: 94.8777, loss_bbox: 0.1833, loss_mask: 0.1940, loss: 0.5584 +2022-09-23 06:41:46,897 - mmdet - INFO - Epoch [30][5650/7330] lr: 1.000e-05, eta: 5:45:05, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0268, loss_cls: 0.1286, acc: 95.2314, loss_bbox: 0.1774, loss_mask: 0.1913, loss: 0.5414 +2022-09-23 06:42:08,451 - mmdet - INFO - Epoch [30][5700/7330] lr: 1.000e-05, eta: 5:44:42, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0256, loss_cls: 0.1277, acc: 95.2554, loss_bbox: 0.1772, loss_mask: 0.1930, loss: 0.5397 +2022-09-23 06:42:30,244 - mmdet - INFO - Epoch [30][5750/7330] lr: 1.000e-05, eta: 5:44:19, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0275, loss_cls: 0.1370, acc: 94.8311, loss_bbox: 0.1828, loss_mask: 0.1967, loss: 0.5597 +2022-09-23 06:42:52,350 - mmdet - INFO - Epoch [30][5800/7330] lr: 1.000e-05, eta: 5:43:56, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0280, loss_cls: 0.1361, acc: 94.8987, loss_bbox: 0.1851, loss_mask: 0.1964, loss: 0.5630 +2022-09-23 06:43:13,840 - mmdet - INFO - Epoch [30][5850/7330] lr: 1.000e-05, eta: 5:43:33, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0286, loss_cls: 0.1370, acc: 94.8708, loss_bbox: 0.1884, loss_mask: 0.1967, loss: 0.5676 +2022-09-23 06:43:35,514 - mmdet - INFO - Epoch [30][5900/7330] lr: 1.000e-05, eta: 5:43:10, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0284, loss_cls: 0.1403, acc: 94.6348, loss_bbox: 0.1889, loss_mask: 0.2004, loss: 0.5755 +2022-09-23 06:43:56,733 - mmdet - INFO - Epoch [30][5950/7330] lr: 1.000e-05, eta: 5:42:47, time: 0.424, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0278, loss_cls: 0.1352, acc: 94.9185, loss_bbox: 0.1870, loss_mask: 0.1923, loss: 0.5581 +2022-09-23 06:44:18,476 - mmdet - INFO - Epoch [30][6000/7330] lr: 1.000e-05, eta: 5:42:24, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0280, loss_cls: 0.1408, acc: 94.7974, loss_bbox: 0.1824, loss_mask: 0.1987, loss: 0.5687 +2022-09-23 06:44:40,176 - mmdet - INFO - Epoch [30][6050/7330] lr: 1.000e-05, eta: 5:42:01, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0279, loss_cls: 0.1354, acc: 94.8513, loss_bbox: 0.1848, loss_mask: 0.1947, loss: 0.5588 +2022-09-23 06:45:01,751 - mmdet - INFO - Epoch [30][6100/7330] lr: 1.000e-05, eta: 5:41:38, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0291, loss_cls: 0.1410, acc: 94.5735, loss_bbox: 0.1920, loss_mask: 0.1995, loss: 0.5802 +2022-09-23 06:45:23,242 - mmdet - INFO - Epoch [30][6150/7330] lr: 1.000e-05, eta: 5:41:15, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0263, loss_cls: 0.1314, acc: 95.1104, loss_bbox: 0.1773, loss_mask: 0.1947, loss: 0.5464 +2022-09-23 06:45:45,122 - mmdet - INFO - Epoch [30][6200/7330] lr: 1.000e-05, eta: 5:40:52, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0282, loss_cls: 0.1377, acc: 94.9324, loss_bbox: 0.1813, loss_mask: 0.2010, loss: 0.5659 +2022-09-23 06:46:07,036 - mmdet - INFO - Epoch [30][6250/7330] lr: 1.000e-05, eta: 5:40:29, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0291, loss_cls: 0.1329, acc: 94.9048, loss_bbox: 0.1913, loss_mask: 0.2014, loss: 0.5719 +2022-09-23 06:46:28,671 - mmdet - INFO - Epoch [30][6300/7330] lr: 1.000e-05, eta: 5:40:06, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0258, loss_cls: 0.1324, acc: 95.0593, loss_bbox: 0.1797, loss_mask: 0.1941, loss: 0.5477 +2022-09-23 06:46:50,595 - mmdet - INFO - Epoch [30][6350/7330] lr: 1.000e-05, eta: 5:39:43, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0302, loss_cls: 0.1430, acc: 94.6333, loss_bbox: 0.1947, loss_mask: 0.1981, loss: 0.5825 +2022-09-23 06:47:12,231 - mmdet - INFO - Epoch [30][6400/7330] lr: 1.000e-05, eta: 5:39:20, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0275, loss_cls: 0.1340, acc: 94.9485, loss_bbox: 0.1820, loss_mask: 0.1971, loss: 0.5560 +2022-09-23 06:47:33,984 - mmdet - INFO - Epoch [30][6450/7330] lr: 1.000e-05, eta: 5:38:57, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0262, loss_cls: 0.1301, acc: 95.1436, loss_bbox: 0.1744, loss_mask: 0.1926, loss: 0.5397 +2022-09-23 06:47:56,238 - mmdet - INFO - Epoch [30][6500/7330] lr: 1.000e-05, eta: 5:38:35, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0254, loss_cls: 0.1296, acc: 95.1216, loss_bbox: 0.1778, loss_mask: 0.1903, loss: 0.5392 +2022-09-23 06:48:18,171 - mmdet - INFO - Epoch [30][6550/7330] lr: 1.000e-05, eta: 5:38:12, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0255, loss_cls: 0.1308, acc: 95.0532, loss_bbox: 0.1773, loss_mask: 0.1965, loss: 0.5462 +2022-09-23 06:48:40,371 - mmdet - INFO - Epoch [30][6600/7330] lr: 1.000e-05, eta: 5:37:49, time: 0.445, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0270, loss_cls: 0.1335, acc: 94.9150, loss_bbox: 0.1880, loss_mask: 0.1953, loss: 0.5602 +2022-09-23 06:49:01,765 - mmdet - INFO - Epoch [30][6650/7330] lr: 1.000e-05, eta: 5:37:26, time: 0.428, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0260, loss_cls: 0.1349, acc: 94.8357, loss_bbox: 0.1836, loss_mask: 0.1908, loss: 0.5536 +2022-09-23 06:49:23,650 - mmdet - INFO - Epoch [30][6700/7330] lr: 1.000e-05, eta: 5:37:03, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0244, loss_cls: 0.1225, acc: 95.4368, loss_bbox: 0.1694, loss_mask: 0.1852, loss: 0.5167 +2022-09-23 06:49:45,344 - mmdet - INFO - Epoch [30][6750/7330] lr: 1.000e-05, eta: 5:36:40, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0289, loss_cls: 0.1422, acc: 94.7278, loss_bbox: 0.1927, loss_mask: 0.1961, loss: 0.5764 +2022-09-23 06:50:07,183 - mmdet - INFO - Epoch [30][6800/7330] lr: 1.000e-05, eta: 5:36:17, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0283, loss_cls: 0.1406, acc: 94.7954, loss_bbox: 0.1850, loss_mask: 0.1974, loss: 0.5696 +2022-09-23 06:50:28,908 - mmdet - INFO - Epoch [30][6850/7330] lr: 1.000e-05, eta: 5:35:54, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0284, loss_cls: 0.1354, acc: 94.8997, loss_bbox: 0.1874, loss_mask: 0.1996, loss: 0.5686 +2022-09-23 06:50:50,579 - mmdet - INFO - Epoch [30][6900/7330] lr: 1.000e-05, eta: 5:35:31, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0274, loss_cls: 0.1398, acc: 94.7632, loss_bbox: 0.1936, loss_mask: 0.1989, loss: 0.5779 +2022-09-23 06:51:13,112 - mmdet - INFO - Epoch [30][6950/7330] lr: 1.000e-05, eta: 5:35:09, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0278, loss_cls: 0.1352, acc: 94.8311, loss_bbox: 0.1855, loss_mask: 0.1971, loss: 0.5631 +2022-09-23 06:51:35,223 - mmdet - INFO - Epoch [30][7000/7330] lr: 1.000e-05, eta: 5:34:46, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0276, loss_cls: 0.1385, acc: 94.8525, loss_bbox: 0.1830, loss_mask: 0.1971, loss: 0.5643 +2022-09-23 06:51:56,844 - mmdet - INFO - Epoch [30][7050/7330] lr: 1.000e-05, eta: 5:34:23, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0249, loss_cls: 0.1253, acc: 95.3481, loss_bbox: 0.1712, loss_mask: 0.1917, loss: 0.5280 +2022-09-23 06:52:18,578 - mmdet - INFO - Epoch [30][7100/7330] lr: 1.000e-05, eta: 5:34:00, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0264, loss_cls: 0.1337, acc: 94.9451, loss_bbox: 0.1819, loss_mask: 0.1965, loss: 0.5551 +2022-09-23 06:52:40,744 - mmdet - INFO - Epoch [30][7150/7330] lr: 1.000e-05, eta: 5:33:37, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0293, loss_cls: 0.1391, acc: 94.8442, loss_bbox: 0.1836, loss_mask: 0.1967, loss: 0.5680 +2022-09-23 06:53:02,420 - mmdet - INFO - Epoch [30][7200/7330] lr: 1.000e-05, eta: 5:33:14, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0263, loss_cls: 0.1315, acc: 95.0676, loss_bbox: 0.1788, loss_mask: 0.1959, loss: 0.5465 +2022-09-23 06:53:23,929 - mmdet - INFO - Epoch [30][7250/7330] lr: 1.000e-05, eta: 5:32:51, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0275, loss_cls: 0.1366, acc: 94.8882, loss_bbox: 0.1827, loss_mask: 0.1963, loss: 0.5591 +2022-09-23 06:53:45,651 - mmdet - INFO - Epoch [30][7300/7330] lr: 1.000e-05, eta: 5:32:28, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0267, loss_cls: 0.1304, acc: 95.0339, loss_bbox: 0.1785, loss_mask: 0.1890, loss: 0.5405 +2022-09-23 06:54:08,777 - mmdet - INFO - Saving checkpoint at 30 epochs +2022-09-23 06:56:12,370 - mmdet - INFO - Evaluating bbox... +2022-09-23 06:56:35,528 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.509 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.722 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.554 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.347 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.656 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.462 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.657 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.774 + +2022-09-23 06:56:35,528 - mmdet - INFO - Evaluating segm... +2022-09-23 06:57:03,348 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.450 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.693 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.484 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.258 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.481 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.638 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.393 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.596 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.720 + +2022-09-23 06:57:03,687 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 06:57:03,689 - mmdet - INFO - Epoch(val) [30][625] bbox_mAP: 0.5090, bbox_mAP_50: 0.7220, bbox_mAP_75: 0.5540, bbox_mAP_s: 0.3470, bbox_mAP_m: 0.5420, bbox_mAP_l: 0.6560, bbox_mAP_copypaste: 0.509 0.722 0.554 0.347 0.542 0.656, segm_mAP: 0.4500, segm_mAP_50: 0.6930, segm_mAP_75: 0.4840, segm_mAP_s: 0.2580, segm_mAP_m: 0.4810, segm_mAP_l: 0.6380, segm_mAP_copypaste: 0.450 0.693 0.484 0.258 0.481 0.638 +2022-09-23 06:59:37,353 - mmdet - INFO - Epoch [31][50/7330] lr: 1.000e-05, eta: 5:32:24, time: 3.072, data_time: 2.624, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0260, loss_cls: 0.1339, acc: 94.9194, loss_bbox: 0.1802, loss_mask: 0.1922, loss: 0.5485 +2022-09-23 06:59:59,720 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 06:59:59,731 - mmdet - INFO - Epoch [31][100/7330] lr: 1.000e-05, eta: 5:32:01, time: 0.449, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0271, loss_cls: 0.1328, acc: 95.0208, loss_bbox: 0.1765, loss_mask: 0.1944, loss: 0.5468 +2022-09-23 07:00:21,756 - mmdet - INFO - Epoch [31][150/7330] lr: 1.000e-05, eta: 5:31:38, time: 0.441, data_time: 0.023, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0279, loss_cls: 0.1322, acc: 95.0093, loss_bbox: 0.1835, loss_mask: 0.1950, loss: 0.5554 +2022-09-23 07:00:43,821 - mmdet - INFO - Epoch [31][200/7330] lr: 1.000e-05, eta: 5:31:16, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0297, loss_cls: 0.1379, acc: 94.7957, loss_bbox: 0.1842, loss_mask: 0.1946, loss: 0.5649 +2022-09-23 07:01:05,802 - mmdet - INFO - Epoch [31][250/7330] lr: 1.000e-05, eta: 5:30:53, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0270, loss_cls: 0.1299, acc: 95.1521, loss_bbox: 0.1790, loss_mask: 0.1967, loss: 0.5496 +2022-09-23 07:01:27,819 - mmdet - INFO - Epoch [31][300/7330] lr: 1.000e-05, eta: 5:30:30, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0275, loss_cls: 0.1406, acc: 94.7761, loss_bbox: 0.1915, loss_mask: 0.1971, loss: 0.5749 +2022-09-23 07:01:49,557 - mmdet - INFO - Epoch [31][350/7330] lr: 1.000e-05, eta: 5:30:07, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0245, loss_cls: 0.1238, acc: 95.2659, loss_bbox: 0.1735, loss_mask: 0.1906, loss: 0.5280 +2022-09-23 07:02:11,898 - mmdet - INFO - Epoch [31][400/7330] lr: 1.000e-05, eta: 5:29:44, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0278, loss_cls: 0.1390, acc: 94.7756, loss_bbox: 0.1867, loss_mask: 0.1954, loss: 0.5674 +2022-09-23 07:02:33,923 - mmdet - INFO - Epoch [31][450/7330] lr: 1.000e-05, eta: 5:29:21, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0258, loss_cls: 0.1310, acc: 95.0314, loss_bbox: 0.1780, loss_mask: 0.1895, loss: 0.5390 +2022-09-23 07:02:55,654 - mmdet - INFO - Epoch [31][500/7330] lr: 1.000e-05, eta: 5:28:58, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0276, loss_cls: 0.1345, acc: 94.8801, loss_bbox: 0.1812, loss_mask: 0.1899, loss: 0.5501 +2022-09-23 07:03:17,419 - mmdet - INFO - Epoch [31][550/7330] lr: 1.000e-05, eta: 5:28:35, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0263, loss_cls: 0.1386, acc: 94.8992, loss_bbox: 0.1809, loss_mask: 0.1953, loss: 0.5596 +2022-09-23 07:03:39,034 - mmdet - INFO - Epoch [31][600/7330] lr: 1.000e-05, eta: 5:28:12, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0252, loss_cls: 0.1265, acc: 95.3201, loss_bbox: 0.1684, loss_mask: 0.1873, loss: 0.5227 +2022-09-23 07:04:01,015 - mmdet - INFO - Epoch [31][650/7330] lr: 1.000e-05, eta: 5:27:49, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0277, loss_cls: 0.1342, acc: 94.9048, loss_bbox: 0.1826, loss_mask: 0.2004, loss: 0.5615 +2022-09-23 07:04:22,678 - mmdet - INFO - Epoch [31][700/7330] lr: 1.000e-05, eta: 5:27:26, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0276, loss_cls: 0.1291, acc: 95.1667, loss_bbox: 0.1793, loss_mask: 0.1944, loss: 0.5485 +2022-09-23 07:04:44,473 - mmdet - INFO - Epoch [31][750/7330] lr: 1.000e-05, eta: 5:27:03, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0270, loss_cls: 0.1309, acc: 95.0459, loss_bbox: 0.1808, loss_mask: 0.1967, loss: 0.5522 +2022-09-23 07:05:06,322 - mmdet - INFO - Epoch [31][800/7330] lr: 1.000e-05, eta: 5:26:41, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0261, loss_cls: 0.1287, acc: 95.2126, loss_bbox: 0.1738, loss_mask: 0.1909, loss: 0.5349 +2022-09-23 07:05:28,576 - mmdet - INFO - Epoch [31][850/7330] lr: 1.000e-05, eta: 5:26:18, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0295, loss_cls: 0.1375, acc: 94.8030, loss_bbox: 0.1859, loss_mask: 0.1963, loss: 0.5676 +2022-09-23 07:05:50,676 - mmdet - INFO - Epoch [31][900/7330] lr: 1.000e-05, eta: 5:25:55, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0280, loss_cls: 0.1341, acc: 94.9373, loss_bbox: 0.1820, loss_mask: 0.1979, loss: 0.5588 +2022-09-23 07:06:12,522 - mmdet - INFO - Epoch [31][950/7330] lr: 1.000e-05, eta: 5:25:32, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0283, loss_cls: 0.1375, acc: 94.8376, loss_bbox: 0.1826, loss_mask: 0.2014, loss: 0.5672 +2022-09-23 07:06:34,176 - mmdet - INFO - Epoch [31][1000/7330] lr: 1.000e-05, eta: 5:25:09, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0262, loss_cls: 0.1272, acc: 95.2273, loss_bbox: 0.1728, loss_mask: 0.1886, loss: 0.5315 +2022-09-23 07:06:55,936 - mmdet - INFO - Epoch [31][1050/7330] lr: 1.000e-05, eta: 5:24:46, time: 0.435, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0288, loss_cls: 0.1346, acc: 94.9998, loss_bbox: 0.1796, loss_mask: 0.1991, loss: 0.5588 +2022-09-23 07:07:18,179 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:07:18,181 - mmdet - INFO - Epoch [31][1100/7330] lr: 1.000e-05, eta: 5:24:23, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0287, loss_cls: 0.1330, acc: 94.9302, loss_bbox: 0.1840, loss_mask: 0.2023, loss: 0.5651 +2022-09-23 07:07:40,379 - mmdet - INFO - Epoch [31][1150/7330] lr: 1.000e-05, eta: 5:24:00, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0281, loss_cls: 0.1326, acc: 95.0012, loss_bbox: 0.1780, loss_mask: 0.1900, loss: 0.5447 +2022-09-23 07:08:02,243 - mmdet - INFO - Epoch [31][1200/7330] lr: 1.000e-05, eta: 5:23:37, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0272, loss_cls: 0.1340, acc: 94.9827, loss_bbox: 0.1825, loss_mask: 0.1985, loss: 0.5596 +2022-09-23 07:08:24,552 - mmdet - INFO - Epoch [31][1250/7330] lr: 1.000e-05, eta: 5:23:15, time: 0.446, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0255, loss_cls: 0.1263, acc: 95.2351, loss_bbox: 0.1747, loss_mask: 0.1939, loss: 0.5351 +2022-09-23 07:08:46,459 - mmdet - INFO - Epoch [31][1300/7330] lr: 1.000e-05, eta: 5:22:52, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0264, loss_cls: 0.1254, acc: 95.2563, loss_bbox: 0.1793, loss_mask: 0.1937, loss: 0.5422 +2022-09-23 07:09:08,945 - mmdet - INFO - Epoch [31][1350/7330] lr: 1.000e-05, eta: 5:22:29, time: 0.450, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0269, loss_cls: 0.1361, acc: 94.8967, loss_bbox: 0.1870, loss_mask: 0.2003, loss: 0.5679 +2022-09-23 07:09:30,992 - mmdet - INFO - Epoch [31][1400/7330] lr: 1.000e-05, eta: 5:22:06, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0281, loss_cls: 0.1324, acc: 94.9255, loss_bbox: 0.1839, loss_mask: 0.1935, loss: 0.5552 +2022-09-23 07:09:53,437 - mmdet - INFO - Epoch [31][1450/7330] lr: 1.000e-05, eta: 5:21:43, time: 0.449, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0281, loss_cls: 0.1354, acc: 94.9180, loss_bbox: 0.1890, loss_mask: 0.2003, loss: 0.5691 +2022-09-23 07:10:15,745 - mmdet - INFO - Epoch [31][1500/7330] lr: 1.000e-05, eta: 5:21:21, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0289, loss_cls: 0.1346, acc: 94.9243, loss_bbox: 0.1856, loss_mask: 0.1996, loss: 0.5660 +2022-09-23 07:10:37,727 - mmdet - INFO - Epoch [31][1550/7330] lr: 1.000e-05, eta: 5:20:58, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0290, loss_cls: 0.1352, acc: 94.9976, loss_bbox: 0.1805, loss_mask: 0.1990, loss: 0.5609 +2022-09-23 07:10:59,328 - mmdet - INFO - Epoch [31][1600/7330] lr: 1.000e-05, eta: 5:20:35, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0273, loss_cls: 0.1321, acc: 95.0005, loss_bbox: 0.1801, loss_mask: 0.1989, loss: 0.5549 +2022-09-23 07:11:20,633 - mmdet - INFO - Epoch [31][1650/7330] lr: 1.000e-05, eta: 5:20:12, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0244, loss_cls: 0.1230, acc: 95.4204, loss_bbox: 0.1677, loss_mask: 0.1909, loss: 0.5211 +2022-09-23 07:11:42,518 - mmdet - INFO - Epoch [31][1700/7330] lr: 1.000e-05, eta: 5:19:49, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0273, loss_cls: 0.1369, acc: 94.8281, loss_bbox: 0.1833, loss_mask: 0.1946, loss: 0.5600 +2022-09-23 07:12:04,251 - mmdet - INFO - Epoch [31][1750/7330] lr: 1.000e-05, eta: 5:19:26, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0274, loss_cls: 0.1350, acc: 94.9014, loss_bbox: 0.1808, loss_mask: 0.1945, loss: 0.5544 +2022-09-23 07:12:26,377 - mmdet - INFO - Epoch [31][1800/7330] lr: 1.000e-05, eta: 5:19:03, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0244, loss_cls: 0.1213, acc: 95.4043, loss_bbox: 0.1728, loss_mask: 0.1939, loss: 0.5269 +2022-09-23 07:12:48,074 - mmdet - INFO - Epoch [31][1850/7330] lr: 1.000e-05, eta: 5:18:40, time: 0.436, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0266, loss_cls: 0.1297, acc: 95.1165, loss_bbox: 0.1778, loss_mask: 0.1948, loss: 0.5447 +2022-09-23 07:13:10,166 - mmdet - INFO - Epoch [31][1900/7330] lr: 1.000e-05, eta: 5:18:17, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0269, loss_cls: 0.1352, acc: 95.0168, loss_bbox: 0.1794, loss_mask: 0.1938, loss: 0.5534 +2022-09-23 07:13:31,783 - mmdet - INFO - Epoch [31][1950/7330] lr: 1.000e-05, eta: 5:17:54, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0249, loss_cls: 0.1316, acc: 95.0950, loss_bbox: 0.1798, loss_mask: 0.1919, loss: 0.5427 +2022-09-23 07:13:53,711 - mmdet - INFO - Epoch [31][2000/7330] lr: 1.000e-05, eta: 5:17:31, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0284, loss_cls: 0.1314, acc: 95.0415, loss_bbox: 0.1824, loss_mask: 0.1941, loss: 0.5525 +2022-09-23 07:14:15,218 - mmdet - INFO - Epoch [31][2050/7330] lr: 1.000e-05, eta: 5:17:08, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0274, loss_cls: 0.1359, acc: 94.8672, loss_bbox: 0.1837, loss_mask: 0.1969, loss: 0.5587 +2022-09-23 07:14:37,021 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:14:37,022 - mmdet - INFO - Epoch [31][2100/7330] lr: 1.000e-05, eta: 5:16:45, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0261, loss_cls: 0.1305, acc: 95.0046, loss_bbox: 0.1808, loss_mask: 0.1972, loss: 0.5506 +2022-09-23 07:14:59,172 - mmdet - INFO - Epoch [31][2150/7330] lr: 1.000e-05, eta: 5:16:23, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0266, loss_cls: 0.1292, acc: 95.1548, loss_bbox: 0.1738, loss_mask: 0.1940, loss: 0.5387 +2022-09-23 07:15:20,903 - mmdet - INFO - Epoch [31][2200/7330] lr: 1.000e-05, eta: 5:16:00, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0249, loss_cls: 0.1266, acc: 95.1596, loss_bbox: 0.1767, loss_mask: 0.1883, loss: 0.5312 +2022-09-23 07:15:43,089 - mmdet - INFO - Epoch [31][2250/7330] lr: 1.000e-05, eta: 5:15:37, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0294, loss_cls: 0.1406, acc: 94.7095, loss_bbox: 0.1896, loss_mask: 0.2012, loss: 0.5790 +2022-09-23 07:16:04,783 - mmdet - INFO - Epoch [31][2300/7330] lr: 1.000e-05, eta: 5:15:14, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0270, loss_cls: 0.1292, acc: 95.0530, loss_bbox: 0.1783, loss_mask: 0.1932, loss: 0.5427 +2022-09-23 07:16:26,222 - mmdet - INFO - Epoch [31][2350/7330] lr: 1.000e-05, eta: 5:14:51, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0258, loss_cls: 0.1305, acc: 95.1138, loss_bbox: 0.1773, loss_mask: 0.1970, loss: 0.5458 +2022-09-23 07:16:47,992 - mmdet - INFO - Epoch [31][2400/7330] lr: 1.000e-05, eta: 5:14:28, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0283, loss_cls: 0.1389, acc: 94.8030, loss_bbox: 0.1884, loss_mask: 0.1989, loss: 0.5711 +2022-09-23 07:17:10,037 - mmdet - INFO - Epoch [31][2450/7330] lr: 1.000e-05, eta: 5:14:05, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0287, loss_cls: 0.1364, acc: 94.9136, loss_bbox: 0.1873, loss_mask: 0.1975, loss: 0.5679 +2022-09-23 07:17:31,923 - mmdet - INFO - Epoch [31][2500/7330] lr: 1.000e-05, eta: 5:13:42, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0285, loss_cls: 0.1375, acc: 94.8560, loss_bbox: 0.1903, loss_mask: 0.1998, loss: 0.5733 +2022-09-23 07:17:53,744 - mmdet - INFO - Epoch [31][2550/7330] lr: 1.000e-05, eta: 5:13:19, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0271, loss_cls: 0.1349, acc: 94.9333, loss_bbox: 0.1827, loss_mask: 0.1926, loss: 0.5548 +2022-09-23 07:18:15,565 - mmdet - INFO - Epoch [31][2600/7330] lr: 1.000e-05, eta: 5:12:56, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0270, loss_cls: 0.1295, acc: 95.0679, loss_bbox: 0.1785, loss_mask: 0.1908, loss: 0.5408 +2022-09-23 07:18:37,194 - mmdet - INFO - Epoch [31][2650/7330] lr: 1.000e-05, eta: 5:12:33, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0266, loss_cls: 0.1320, acc: 95.0376, loss_bbox: 0.1765, loss_mask: 0.1958, loss: 0.5481 +2022-09-23 07:18:58,898 - mmdet - INFO - Epoch [31][2700/7330] lr: 1.000e-05, eta: 5:12:10, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0275, loss_cls: 0.1369, acc: 94.8296, loss_bbox: 0.1885, loss_mask: 0.1912, loss: 0.5603 +2022-09-23 07:19:20,722 - mmdet - INFO - Epoch [31][2750/7330] lr: 1.000e-05, eta: 5:11:48, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0265, loss_cls: 0.1314, acc: 95.0544, loss_bbox: 0.1769, loss_mask: 0.1904, loss: 0.5424 +2022-09-23 07:19:42,594 - mmdet - INFO - Epoch [31][2800/7330] lr: 1.000e-05, eta: 5:11:25, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0264, loss_cls: 0.1274, acc: 95.1738, loss_bbox: 0.1747, loss_mask: 0.1961, loss: 0.5403 +2022-09-23 07:20:04,705 - mmdet - INFO - Epoch [31][2850/7330] lr: 1.000e-05, eta: 5:11:02, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0284, loss_cls: 0.1364, acc: 94.8388, loss_bbox: 0.1862, loss_mask: 0.2010, loss: 0.5700 +2022-09-23 07:20:26,698 - mmdet - INFO - Epoch [31][2900/7330] lr: 1.000e-05, eta: 5:10:39, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0270, loss_cls: 0.1346, acc: 94.9190, loss_bbox: 0.1825, loss_mask: 0.1955, loss: 0.5561 +2022-09-23 07:20:49,036 - mmdet - INFO - Epoch [31][2950/7330] lr: 1.000e-05, eta: 5:10:16, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0274, loss_cls: 0.1311, acc: 95.0891, loss_bbox: 0.1796, loss_mask: 0.1905, loss: 0.5447 +2022-09-23 07:21:11,005 - mmdet - INFO - Epoch [31][3000/7330] lr: 1.000e-05, eta: 5:09:53, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0278, loss_cls: 0.1322, acc: 95.0840, loss_bbox: 0.1780, loss_mask: 0.1919, loss: 0.5468 +2022-09-23 07:21:33,301 - mmdet - INFO - Epoch [31][3050/7330] lr: 1.000e-05, eta: 5:09:31, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0289, loss_cls: 0.1352, acc: 94.9707, loss_bbox: 0.1839, loss_mask: 0.1963, loss: 0.5611 +2022-09-23 07:21:55,275 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:21:55,280 - mmdet - INFO - Epoch [31][3100/7330] lr: 1.000e-05, eta: 5:09:08, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0257, loss_cls: 0.1312, acc: 95.0833, loss_bbox: 0.1781, loss_mask: 0.1902, loss: 0.5400 +2022-09-23 07:22:17,320 - mmdet - INFO - Epoch [31][3150/7330] lr: 1.000e-05, eta: 5:08:45, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0252, loss_cls: 0.1267, acc: 95.2041, loss_bbox: 0.1744, loss_mask: 0.1890, loss: 0.5302 +2022-09-23 07:22:39,191 - mmdet - INFO - Epoch [31][3200/7330] lr: 1.000e-05, eta: 5:08:22, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0290, loss_cls: 0.1390, acc: 94.7698, loss_bbox: 0.1884, loss_mask: 0.1983, loss: 0.5713 +2022-09-23 07:23:01,103 - mmdet - INFO - Epoch [31][3250/7330] lr: 1.000e-05, eta: 5:07:59, time: 0.437, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1328, acc: 95.0312, loss_bbox: 0.1841, loss_mask: 0.1948, loss: 0.5548 +2022-09-23 07:23:23,433 - mmdet - INFO - Epoch [31][3300/7330] lr: 1.000e-05, eta: 5:07:36, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0278, loss_cls: 0.1382, acc: 94.7932, loss_bbox: 0.1903, loss_mask: 0.1965, loss: 0.5708 +2022-09-23 07:23:45,224 - mmdet - INFO - Epoch [31][3350/7330] lr: 1.000e-05, eta: 5:07:13, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0256, loss_cls: 0.1325, acc: 95.0896, loss_bbox: 0.1770, loss_mask: 0.1919, loss: 0.5426 +2022-09-23 07:24:06,930 - mmdet - INFO - Epoch [31][3400/7330] lr: 1.000e-05, eta: 5:06:51, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0260, loss_cls: 0.1324, acc: 95.0088, loss_bbox: 0.1797, loss_mask: 0.1946, loss: 0.5500 +2022-09-23 07:24:28,815 - mmdet - INFO - Epoch [31][3450/7330] lr: 1.000e-05, eta: 5:06:28, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0259, loss_cls: 0.1347, acc: 94.9102, loss_bbox: 0.1862, loss_mask: 0.1985, loss: 0.5598 +2022-09-23 07:24:50,747 - mmdet - INFO - Epoch [31][3500/7330] lr: 1.000e-05, eta: 5:06:05, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0277, loss_cls: 0.1315, acc: 94.9812, loss_bbox: 0.1776, loss_mask: 0.1973, loss: 0.5527 +2022-09-23 07:25:12,612 - mmdet - INFO - Epoch [31][3550/7330] lr: 1.000e-05, eta: 5:05:42, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0271, loss_cls: 0.1346, acc: 94.9238, loss_bbox: 0.1825, loss_mask: 0.1907, loss: 0.5536 +2022-09-23 07:25:34,476 - mmdet - INFO - Epoch [31][3600/7330] lr: 1.000e-05, eta: 5:05:19, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0268, loss_cls: 0.1304, acc: 95.0178, loss_bbox: 0.1828, loss_mask: 0.1937, loss: 0.5501 +2022-09-23 07:25:56,483 - mmdet - INFO - Epoch [31][3650/7330] lr: 1.000e-05, eta: 5:04:56, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0253, loss_cls: 0.1261, acc: 95.2244, loss_bbox: 0.1726, loss_mask: 0.1911, loss: 0.5298 +2022-09-23 07:26:18,972 - mmdet - INFO - Epoch [31][3700/7330] lr: 1.000e-05, eta: 5:04:33, time: 0.450, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0308, loss_cls: 0.1392, acc: 94.7886, loss_bbox: 0.1871, loss_mask: 0.1984, loss: 0.5734 +2022-09-23 07:26:41,197 - mmdet - INFO - Epoch [31][3750/7330] lr: 1.000e-05, eta: 5:04:11, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0295, loss_cls: 0.1405, acc: 94.6470, loss_bbox: 0.1928, loss_mask: 0.1985, loss: 0.5805 +2022-09-23 07:27:03,052 - mmdet - INFO - Epoch [31][3800/7330] lr: 1.000e-05, eta: 5:03:48, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0283, loss_cls: 0.1335, acc: 94.9875, loss_bbox: 0.1820, loss_mask: 0.1961, loss: 0.5565 +2022-09-23 07:27:24,872 - mmdet - INFO - Epoch [31][3850/7330] lr: 1.000e-05, eta: 5:03:25, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0274, loss_cls: 0.1325, acc: 94.9941, loss_bbox: 0.1807, loss_mask: 0.1941, loss: 0.5531 +2022-09-23 07:27:46,858 - mmdet - INFO - Epoch [31][3900/7330] lr: 1.000e-05, eta: 5:03:02, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0272, loss_cls: 0.1316, acc: 95.0391, loss_bbox: 0.1793, loss_mask: 0.1958, loss: 0.5502 +2022-09-23 07:28:08,829 - mmdet - INFO - Epoch [31][3950/7330] lr: 1.000e-05, eta: 5:02:39, time: 0.439, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0284, loss_cls: 0.1375, acc: 94.8311, loss_bbox: 0.1853, loss_mask: 0.2000, loss: 0.5689 +2022-09-23 07:28:30,627 - mmdet - INFO - Epoch [31][4000/7330] lr: 1.000e-05, eta: 5:02:16, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0273, loss_cls: 0.1312, acc: 95.1138, loss_bbox: 0.1830, loss_mask: 0.1954, loss: 0.5526 +2022-09-23 07:28:52,148 - mmdet - INFO - Epoch [31][4050/7330] lr: 1.000e-05, eta: 5:01:53, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0263, loss_cls: 0.1292, acc: 95.0950, loss_bbox: 0.1766, loss_mask: 0.1960, loss: 0.5439 +2022-09-23 07:29:14,240 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:29:14,245 - mmdet - INFO - Epoch [31][4100/7330] lr: 1.000e-05, eta: 5:01:30, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0272, loss_cls: 0.1339, acc: 94.9280, loss_bbox: 0.1778, loss_mask: 0.1927, loss: 0.5490 +2022-09-23 07:29:36,093 - mmdet - INFO - Epoch [31][4150/7330] lr: 1.000e-05, eta: 5:01:08, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0296, loss_cls: 0.1413, acc: 94.6836, loss_bbox: 0.1875, loss_mask: 0.1996, loss: 0.5753 +2022-09-23 07:29:57,571 - mmdet - INFO - Epoch [31][4200/7330] lr: 1.000e-05, eta: 5:00:45, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0268, loss_cls: 0.1293, acc: 95.0481, loss_bbox: 0.1814, loss_mask: 0.1950, loss: 0.5479 +2022-09-23 07:30:19,157 - mmdet - INFO - Epoch [31][4250/7330] lr: 1.000e-05, eta: 5:00:22, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0261, loss_cls: 0.1335, acc: 95.0378, loss_bbox: 0.1783, loss_mask: 0.1916, loss: 0.5465 +2022-09-23 07:30:41,119 - mmdet - INFO - Epoch [31][4300/7330] lr: 1.000e-05, eta: 4:59:59, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0270, loss_cls: 0.1294, acc: 95.0881, loss_bbox: 0.1759, loss_mask: 0.1937, loss: 0.5412 +2022-09-23 07:31:02,682 - mmdet - INFO - Epoch [31][4350/7330] lr: 1.000e-05, eta: 4:59:36, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0277, loss_cls: 0.1379, acc: 94.8481, loss_bbox: 0.1836, loss_mask: 0.1952, loss: 0.5605 +2022-09-23 07:31:24,316 - mmdet - INFO - Epoch [31][4400/7330] lr: 1.000e-05, eta: 4:59:13, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0257, loss_cls: 0.1324, acc: 95.0500, loss_bbox: 0.1767, loss_mask: 0.1927, loss: 0.5438 +2022-09-23 07:31:45,988 - mmdet - INFO - Epoch [31][4450/7330] lr: 1.000e-05, eta: 4:58:50, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0275, loss_cls: 0.1262, acc: 95.2461, loss_bbox: 0.1782, loss_mask: 0.1901, loss: 0.5367 +2022-09-23 07:32:07,719 - mmdet - INFO - Epoch [31][4500/7330] lr: 1.000e-05, eta: 4:58:27, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0286, loss_cls: 0.1383, acc: 94.6946, loss_bbox: 0.1937, loss_mask: 0.1980, loss: 0.5760 +2022-09-23 07:32:29,702 - mmdet - INFO - Epoch [31][4550/7330] lr: 1.000e-05, eta: 4:58:04, time: 0.439, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1374, acc: 94.7930, loss_bbox: 0.1816, loss_mask: 0.1947, loss: 0.5608 +2022-09-23 07:32:51,979 - mmdet - INFO - Epoch [31][4600/7330] lr: 1.000e-05, eta: 4:57:41, time: 0.446, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0271, loss_cls: 0.1320, acc: 95.0471, loss_bbox: 0.1790, loss_mask: 0.1929, loss: 0.5472 +2022-09-23 07:33:14,172 - mmdet - INFO - Epoch [31][4650/7330] lr: 1.000e-05, eta: 4:57:19, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0296, loss_cls: 0.1301, acc: 95.1238, loss_bbox: 0.1787, loss_mask: 0.1940, loss: 0.5480 +2022-09-23 07:33:36,293 - mmdet - INFO - Epoch [31][4700/7330] lr: 1.000e-05, eta: 4:56:56, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0263, loss_cls: 0.1309, acc: 94.9698, loss_bbox: 0.1815, loss_mask: 0.1906, loss: 0.5461 +2022-09-23 07:33:58,002 - mmdet - INFO - Epoch [31][4750/7330] lr: 1.000e-05, eta: 4:56:33, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0288, loss_cls: 0.1362, acc: 94.8796, loss_bbox: 0.1871, loss_mask: 0.1993, loss: 0.5693 +2022-09-23 07:34:19,968 - mmdet - INFO - Epoch [31][4800/7330] lr: 1.000e-05, eta: 4:56:10, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0272, loss_cls: 0.1396, acc: 94.8186, loss_bbox: 0.1829, loss_mask: 0.1968, loss: 0.5635 +2022-09-23 07:34:42,076 - mmdet - INFO - Epoch [31][4850/7330] lr: 1.000e-05, eta: 4:55:47, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0257, loss_cls: 0.1238, acc: 95.3054, loss_bbox: 0.1724, loss_mask: 0.1910, loss: 0.5278 +2022-09-23 07:35:03,910 - mmdet - INFO - Epoch [31][4900/7330] lr: 1.000e-05, eta: 4:55:24, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0261, loss_cls: 0.1246, acc: 95.2756, loss_bbox: 0.1681, loss_mask: 0.1918, loss: 0.5255 +2022-09-23 07:35:25,870 - mmdet - INFO - Epoch [31][4950/7330] lr: 1.000e-05, eta: 4:55:02, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0257, loss_cls: 0.1311, acc: 95.0789, loss_bbox: 0.1796, loss_mask: 0.1925, loss: 0.5435 +2022-09-23 07:35:47,872 - mmdet - INFO - Epoch [31][5000/7330] lr: 1.000e-05, eta: 4:54:39, time: 0.440, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0298, loss_cls: 0.1360, acc: 94.8479, loss_bbox: 0.1881, loss_mask: 0.1985, loss: 0.5708 +2022-09-23 07:36:09,914 - mmdet - INFO - Epoch [31][5050/7330] lr: 1.000e-05, eta: 4:54:16, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0279, loss_cls: 0.1325, acc: 94.9167, loss_bbox: 0.1854, loss_mask: 0.1994, loss: 0.5617 +2022-09-23 07:36:31,966 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:36:31,969 - mmdet - INFO - Epoch [31][5100/7330] lr: 1.000e-05, eta: 4:53:53, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0302, loss_cls: 0.1405, acc: 94.5989, loss_bbox: 0.1942, loss_mask: 0.2011, loss: 0.5841 +2022-09-23 07:36:53,732 - mmdet - INFO - Epoch [31][5150/7330] lr: 1.000e-05, eta: 4:53:30, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0261, loss_cls: 0.1313, acc: 95.0483, loss_bbox: 0.1805, loss_mask: 0.1948, loss: 0.5488 +2022-09-23 07:37:15,820 - mmdet - INFO - Epoch [31][5200/7330] lr: 1.000e-05, eta: 4:53:07, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0262, loss_cls: 0.1368, acc: 94.8779, loss_bbox: 0.1796, loss_mask: 0.1917, loss: 0.5512 +2022-09-23 07:37:37,299 - mmdet - INFO - Epoch [31][5250/7330] lr: 1.000e-05, eta: 4:52:44, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0265, loss_cls: 0.1349, acc: 94.8698, loss_bbox: 0.1808, loss_mask: 0.1970, loss: 0.5557 +2022-09-23 07:37:59,794 - mmdet - INFO - Epoch [31][5300/7330] lr: 1.000e-05, eta: 4:52:22, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1377, acc: 94.8647, loss_bbox: 0.1807, loss_mask: 0.1962, loss: 0.5607 +2022-09-23 07:38:21,738 - mmdet - INFO - Epoch [31][5350/7330] lr: 1.000e-05, eta: 4:51:59, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0287, loss_cls: 0.1317, acc: 95.0073, loss_bbox: 0.1878, loss_mask: 0.1989, loss: 0.5622 +2022-09-23 07:38:43,847 - mmdet - INFO - Epoch [31][5400/7330] lr: 1.000e-05, eta: 4:51:36, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0278, loss_cls: 0.1353, acc: 94.9351, loss_bbox: 0.1834, loss_mask: 0.1971, loss: 0.5613 +2022-09-23 07:39:05,710 - mmdet - INFO - Epoch [31][5450/7330] lr: 1.000e-05, eta: 4:51:13, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0271, loss_cls: 0.1261, acc: 95.1960, loss_bbox: 0.1803, loss_mask: 0.1936, loss: 0.5424 +2022-09-23 07:39:27,798 - mmdet - INFO - Epoch [31][5500/7330] lr: 1.000e-05, eta: 4:50:50, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0272, loss_cls: 0.1298, acc: 95.0168, loss_bbox: 0.1786, loss_mask: 0.1913, loss: 0.5434 +2022-09-23 07:39:49,859 - mmdet - INFO - Epoch [31][5550/7330] lr: 1.000e-05, eta: 4:50:28, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0266, loss_cls: 0.1348, acc: 94.9705, loss_bbox: 0.1828, loss_mask: 0.1981, loss: 0.5592 +2022-09-23 07:40:12,401 - mmdet - INFO - Epoch [31][5600/7330] lr: 1.000e-05, eta: 4:50:05, time: 0.449, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0264, loss_cls: 0.1354, acc: 95.0049, loss_bbox: 0.1812, loss_mask: 0.1926, loss: 0.5533 +2022-09-23 07:40:34,278 - mmdet - INFO - Epoch [31][5650/7330] lr: 1.000e-05, eta: 4:49:42, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0281, loss_cls: 0.1328, acc: 95.0576, loss_bbox: 0.1857, loss_mask: 0.2009, loss: 0.5647 +2022-09-23 07:40:56,313 - mmdet - INFO - Epoch [31][5700/7330] lr: 1.000e-05, eta: 4:49:19, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0258, loss_cls: 0.1313, acc: 95.0105, loss_bbox: 0.1820, loss_mask: 0.1886, loss: 0.5438 +2022-09-23 07:41:18,366 - mmdet - INFO - Epoch [31][5750/7330] lr: 1.000e-05, eta: 4:48:56, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0268, loss_cls: 0.1310, acc: 95.0828, loss_bbox: 0.1767, loss_mask: 0.1941, loss: 0.5430 +2022-09-23 07:41:40,203 - mmdet - INFO - Epoch [31][5800/7330] lr: 1.000e-05, eta: 4:48:33, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0279, loss_cls: 0.1326, acc: 95.0269, loss_bbox: 0.1805, loss_mask: 0.1920, loss: 0.5496 +2022-09-23 07:42:01,945 - mmdet - INFO - Epoch [31][5850/7330] lr: 1.000e-05, eta: 4:48:11, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0271, loss_cls: 0.1310, acc: 95.0520, loss_bbox: 0.1831, loss_mask: 0.1979, loss: 0.5558 +2022-09-23 07:42:23,641 - mmdet - INFO - Epoch [31][5900/7330] lr: 1.000e-05, eta: 4:47:48, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0288, loss_cls: 0.1357, acc: 94.8555, loss_bbox: 0.1876, loss_mask: 0.2031, loss: 0.5718 +2022-09-23 07:42:45,256 - mmdet - INFO - Epoch [31][5950/7330] lr: 1.000e-05, eta: 4:47:25, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0271, loss_cls: 0.1337, acc: 94.9143, loss_bbox: 0.1860, loss_mask: 0.1931, loss: 0.5552 +2022-09-23 07:43:06,926 - mmdet - INFO - Epoch [31][6000/7330] lr: 1.000e-05, eta: 4:47:02, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0267, loss_cls: 0.1310, acc: 95.0974, loss_bbox: 0.1743, loss_mask: 0.1936, loss: 0.5419 +2022-09-23 07:43:28,929 - mmdet - INFO - Epoch [31][6050/7330] lr: 1.000e-05, eta: 4:46:39, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0269, loss_cls: 0.1285, acc: 95.0901, loss_bbox: 0.1801, loss_mask: 0.1965, loss: 0.5476 +2022-09-23 07:43:51,217 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:43:51,221 - mmdet - INFO - Epoch [31][6100/7330] lr: 1.000e-05, eta: 4:46:16, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0280, loss_cls: 0.1390, acc: 94.7825, loss_bbox: 0.1875, loss_mask: 0.1968, loss: 0.5677 +2022-09-23 07:44:13,447 - mmdet - INFO - Epoch [31][6150/7330] lr: 1.000e-05, eta: 4:45:54, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0289, loss_cls: 0.1351, acc: 94.8337, loss_bbox: 0.1828, loss_mask: 0.1940, loss: 0.5594 +2022-09-23 07:44:35,270 - mmdet - INFO - Epoch [31][6200/7330] lr: 1.000e-05, eta: 4:45:31, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0277, loss_cls: 0.1354, acc: 94.8703, loss_bbox: 0.1842, loss_mask: 0.1944, loss: 0.5577 +2022-09-23 07:44:57,498 - mmdet - INFO - Epoch [31][6250/7330] lr: 1.000e-05, eta: 4:45:08, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0257, loss_cls: 0.1315, acc: 95.0684, loss_bbox: 0.1765, loss_mask: 0.1916, loss: 0.5407 +2022-09-23 07:45:19,403 - mmdet - INFO - Epoch [31][6300/7330] lr: 1.000e-05, eta: 4:44:45, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0284, loss_cls: 0.1379, acc: 94.8850, loss_bbox: 0.1866, loss_mask: 0.1966, loss: 0.5669 +2022-09-23 07:45:41,117 - mmdet - INFO - Epoch [31][6350/7330] lr: 1.000e-05, eta: 4:44:22, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0255, loss_cls: 0.1304, acc: 95.1165, loss_bbox: 0.1749, loss_mask: 0.1901, loss: 0.5360 +2022-09-23 07:46:03,622 - mmdet - INFO - Epoch [31][6400/7330] lr: 1.000e-05, eta: 4:43:59, time: 0.450, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0264, loss_cls: 0.1347, acc: 94.9893, loss_bbox: 0.1827, loss_mask: 0.1959, loss: 0.5562 +2022-09-23 07:46:25,794 - mmdet - INFO - Epoch [31][6450/7330] lr: 1.000e-05, eta: 4:43:37, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0271, loss_cls: 0.1340, acc: 95.0400, loss_bbox: 0.1763, loss_mask: 0.1892, loss: 0.5438 +2022-09-23 07:46:47,313 - mmdet - INFO - Epoch [31][6500/7330] lr: 1.000e-05, eta: 4:43:14, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0265, loss_cls: 0.1305, acc: 95.1367, loss_bbox: 0.1792, loss_mask: 0.1951, loss: 0.5490 +2022-09-23 07:47:09,206 - mmdet - INFO - Epoch [31][6550/7330] lr: 1.000e-05, eta: 4:42:51, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0255, loss_cls: 0.1279, acc: 95.1284, loss_bbox: 0.1744, loss_mask: 0.1909, loss: 0.5344 +2022-09-23 07:47:31,149 - mmdet - INFO - Epoch [31][6600/7330] lr: 1.000e-05, eta: 4:42:28, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0269, loss_cls: 0.1246, acc: 95.3315, loss_bbox: 0.1777, loss_mask: 0.1935, loss: 0.5382 +2022-09-23 07:47:53,201 - mmdet - INFO - Epoch [31][6650/7330] lr: 1.000e-05, eta: 4:42:05, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0289, loss_cls: 0.1353, acc: 94.8540, loss_bbox: 0.1801, loss_mask: 0.1938, loss: 0.5555 +2022-09-23 07:48:14,938 - mmdet - INFO - Epoch [31][6700/7330] lr: 1.000e-05, eta: 4:41:42, time: 0.435, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0274, loss_cls: 0.1356, acc: 94.9209, loss_bbox: 0.1807, loss_mask: 0.1930, loss: 0.5529 +2022-09-23 07:48:36,472 - mmdet - INFO - Epoch [31][6750/7330] lr: 1.000e-05, eta: 4:41:19, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0267, loss_cls: 0.1350, acc: 94.9565, loss_bbox: 0.1845, loss_mask: 0.1964, loss: 0.5587 +2022-09-23 07:48:58,263 - mmdet - INFO - Epoch [31][6800/7330] lr: 1.000e-05, eta: 4:40:57, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0276, loss_cls: 0.1342, acc: 94.9692, loss_bbox: 0.1802, loss_mask: 0.1947, loss: 0.5552 +2022-09-23 07:49:20,092 - mmdet - INFO - Epoch [31][6850/7330] lr: 1.000e-05, eta: 4:40:34, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0294, loss_cls: 0.1348, acc: 94.8989, loss_bbox: 0.1866, loss_mask: 0.1996, loss: 0.5685 +2022-09-23 07:49:41,359 - mmdet - INFO - Epoch [31][6900/7330] lr: 1.000e-05, eta: 4:40:11, time: 0.425, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0256, loss_cls: 0.1351, acc: 94.9473, loss_bbox: 0.1814, loss_mask: 0.1952, loss: 0.5533 +2022-09-23 07:50:03,552 - mmdet - INFO - Epoch [31][6950/7330] lr: 1.000e-05, eta: 4:39:48, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0272, loss_cls: 0.1333, acc: 95.0039, loss_bbox: 0.1802, loss_mask: 0.1975, loss: 0.5541 +2022-09-23 07:50:25,690 - mmdet - INFO - Epoch [31][7000/7330] lr: 1.000e-05, eta: 4:39:25, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0262, loss_cls: 0.1276, acc: 95.1565, loss_bbox: 0.1755, loss_mask: 0.1889, loss: 0.5334 +2022-09-23 07:50:47,517 - mmdet - INFO - Epoch [31][7050/7330] lr: 1.000e-05, eta: 4:39:02, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0276, loss_cls: 0.1355, acc: 94.8652, loss_bbox: 0.1867, loss_mask: 0.1949, loss: 0.5606 +2022-09-23 07:51:09,898 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:51:09,901 - mmdet - INFO - Epoch [31][7100/7330] lr: 1.000e-05, eta: 4:38:40, time: 0.448, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0297, loss_cls: 0.1426, acc: 94.6394, loss_bbox: 0.1857, loss_mask: 0.1967, loss: 0.5740 +2022-09-23 07:51:31,979 - mmdet - INFO - Epoch [31][7150/7330] lr: 1.000e-05, eta: 4:38:17, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0275, loss_cls: 0.1350, acc: 94.9385, loss_bbox: 0.1805, loss_mask: 0.1937, loss: 0.5533 +2022-09-23 07:51:53,851 - mmdet - INFO - Epoch [31][7200/7330] lr: 1.000e-05, eta: 4:37:54, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0274, loss_cls: 0.1344, acc: 94.8694, loss_bbox: 0.1850, loss_mask: 0.1964, loss: 0.5591 +2022-09-23 07:52:15,732 - mmdet - INFO - Epoch [31][7250/7330] lr: 1.000e-05, eta: 4:37:31, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0276, loss_cls: 0.1359, acc: 94.9102, loss_bbox: 0.1821, loss_mask: 0.1959, loss: 0.5588 +2022-09-23 07:52:37,350 - mmdet - INFO - Epoch [31][7300/7330] lr: 1.000e-05, eta: 4:37:08, time: 0.432, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0244, loss_cls: 0.1289, acc: 95.2278, loss_bbox: 0.1742, loss_mask: 0.1925, loss: 0.5347 +2022-09-23 07:53:00,565 - mmdet - INFO - Saving checkpoint at 31 epochs +2022-09-23 07:55:09,362 - mmdet - INFO - Evaluating bbox... +2022-09-23 07:55:33,919 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.723 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.557 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.348 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.543 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.659 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.463 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.662 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.773 + +2022-09-23 07:55:33,919 - mmdet - INFO - Evaluating segm... +2022-09-23 07:55:59,178 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.452 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.694 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.488 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.261 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.482 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.640 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.563 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.563 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.563 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.396 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.599 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.722 + +2022-09-23 07:55:59,594 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 07:55:59,596 - mmdet - INFO - Epoch(val) [31][625] bbox_mAP: 0.5100, bbox_mAP_50: 0.7230, bbox_mAP_75: 0.5570, bbox_mAP_s: 0.3480, bbox_mAP_m: 0.5430, bbox_mAP_l: 0.6590, bbox_mAP_copypaste: 0.510 0.723 0.557 0.348 0.543 0.659, segm_mAP: 0.4520, segm_mAP_50: 0.6940, segm_mAP_75: 0.4880, segm_mAP_s: 0.2610, segm_mAP_m: 0.4820, segm_mAP_l: 0.6400, segm_mAP_copypaste: 0.452 0.694 0.488 0.261 0.482 0.640 +2022-09-23 07:58:29,700 - mmdet - INFO - Epoch [32][50/7330] lr: 1.000e-05, eta: 4:36:57, time: 3.001, data_time: 2.549, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0316, loss_cls: 0.1412, acc: 94.7949, loss_bbox: 0.1889, loss_mask: 0.2038, loss: 0.5841 +2022-09-23 07:58:51,824 - mmdet - INFO - Epoch [32][100/7330] lr: 1.000e-05, eta: 4:36:34, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0261, loss_cls: 0.1277, acc: 95.2656, loss_bbox: 0.1720, loss_mask: 0.1914, loss: 0.5341 +2022-09-23 07:59:13,944 - mmdet - INFO - Epoch [32][150/7330] lr: 1.000e-05, eta: 4:36:11, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0287, loss_cls: 0.1395, acc: 94.7407, loss_bbox: 0.1951, loss_mask: 0.2011, loss: 0.5820 +2022-09-23 07:59:36,748 - mmdet - INFO - Epoch [32][200/7330] lr: 1.000e-05, eta: 4:35:48, time: 0.457, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0272, loss_cls: 0.1309, acc: 95.0520, loss_bbox: 0.1774, loss_mask: 0.1956, loss: 0.5478 +2022-09-23 07:59:59,129 - mmdet - INFO - Epoch [32][250/7330] lr: 1.000e-05, eta: 4:35:26, time: 0.448, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0258, loss_cls: 0.1321, acc: 95.0569, loss_bbox: 0.1758, loss_mask: 0.1899, loss: 0.5393 +2022-09-23 08:00:21,325 - mmdet - INFO - Epoch [32][300/7330] lr: 1.000e-05, eta: 4:35:03, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0256, loss_cls: 0.1314, acc: 94.9685, loss_bbox: 0.1823, loss_mask: 0.1909, loss: 0.5454 +2022-09-23 08:00:43,801 - mmdet - INFO - Epoch [32][350/7330] lr: 1.000e-05, eta: 4:34:40, time: 0.450, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0274, loss_cls: 0.1300, acc: 95.0881, loss_bbox: 0.1806, loss_mask: 0.1922, loss: 0.5487 +2022-09-23 08:01:05,695 - mmdet - INFO - Epoch [32][400/7330] lr: 1.000e-05, eta: 4:34:17, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0261, loss_cls: 0.1367, acc: 94.8303, loss_bbox: 0.1857, loss_mask: 0.2017, loss: 0.5653 +2022-09-23 08:01:27,680 - mmdet - INFO - Epoch [32][450/7330] lr: 1.000e-05, eta: 4:33:54, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0270, loss_cls: 0.1364, acc: 94.8411, loss_bbox: 0.1863, loss_mask: 0.1969, loss: 0.5627 +2022-09-23 08:01:49,392 - mmdet - INFO - Epoch [32][500/7330] lr: 1.000e-05, eta: 4:33:31, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0248, loss_cls: 0.1327, acc: 95.0200, loss_bbox: 0.1777, loss_mask: 0.1949, loss: 0.5464 +2022-09-23 08:02:11,814 - mmdet - INFO - Epoch [32][550/7330] lr: 1.000e-05, eta: 4:33:09, time: 0.448, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0281, loss_cls: 0.1292, acc: 95.1606, loss_bbox: 0.1830, loss_mask: 0.1963, loss: 0.5524 +2022-09-23 08:02:33,494 - mmdet - INFO - Epoch [32][600/7330] lr: 1.000e-05, eta: 4:32:46, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0277, loss_cls: 0.1355, acc: 94.8123, loss_bbox: 0.1836, loss_mask: 0.1981, loss: 0.5620 +2022-09-23 08:02:55,066 - mmdet - INFO - Epoch [32][650/7330] lr: 1.000e-05, eta: 4:32:23, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0257, loss_cls: 0.1311, acc: 95.1204, loss_bbox: 0.1800, loss_mask: 0.1948, loss: 0.5478 +2022-09-23 08:03:17,121 - mmdet - INFO - Epoch [32][700/7330] lr: 1.000e-05, eta: 4:32:00, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0253, loss_cls: 0.1253, acc: 95.3018, loss_bbox: 0.1750, loss_mask: 0.1916, loss: 0.5326 +2022-09-23 08:03:39,295 - mmdet - INFO - Epoch [32][750/7330] lr: 1.000e-05, eta: 4:31:37, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0278, loss_cls: 0.1342, acc: 94.9629, loss_bbox: 0.1825, loss_mask: 0.1938, loss: 0.5546 +2022-09-23 08:04:01,321 - mmdet - INFO - Epoch [32][800/7330] lr: 1.000e-05, eta: 4:31:14, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0280, loss_cls: 0.1359, acc: 94.9402, loss_bbox: 0.1864, loss_mask: 0.1964, loss: 0.5641 +2022-09-23 08:04:23,273 - mmdet - INFO - Epoch [32][850/7330] lr: 1.000e-05, eta: 4:30:51, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0259, loss_cls: 0.1236, acc: 95.3167, loss_bbox: 0.1720, loss_mask: 0.1901, loss: 0.5251 +2022-09-23 08:04:45,721 - mmdet - INFO - Epoch [32][900/7330] lr: 1.000e-05, eta: 4:30:29, time: 0.449, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0277, loss_cls: 0.1334, acc: 94.9375, loss_bbox: 0.1806, loss_mask: 0.1949, loss: 0.5532 +2022-09-23 08:05:07,458 - mmdet - INFO - Epoch [32][950/7330] lr: 1.000e-05, eta: 4:30:06, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0264, loss_cls: 0.1340, acc: 94.9573, loss_bbox: 0.1832, loss_mask: 0.1894, loss: 0.5505 +2022-09-23 08:05:29,120 - mmdet - INFO - Epoch [32][1000/7330] lr: 1.000e-05, eta: 4:29:43, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0273, loss_cls: 0.1277, acc: 95.1758, loss_bbox: 0.1798, loss_mask: 0.1916, loss: 0.5410 +2022-09-23 08:05:51,257 - mmdet - INFO - Epoch [32][1050/7330] lr: 1.000e-05, eta: 4:29:20, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0259, loss_cls: 0.1344, acc: 94.9561, loss_bbox: 0.1778, loss_mask: 0.1925, loss: 0.5467 +2022-09-23 08:06:13,503 - mmdet - INFO - Epoch [32][1100/7330] lr: 1.000e-05, eta: 4:28:57, time: 0.445, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0271, loss_cls: 0.1286, acc: 95.1389, loss_bbox: 0.1755, loss_mask: 0.1939, loss: 0.5406 +2022-09-23 08:06:35,728 - mmdet - INFO - Epoch [32][1150/7330] lr: 1.000e-05, eta: 4:28:34, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0293, loss_cls: 0.1324, acc: 94.9072, loss_bbox: 0.1885, loss_mask: 0.1941, loss: 0.5605 +2022-09-23 08:06:57,270 - mmdet - INFO - Epoch [32][1200/7330] lr: 1.000e-05, eta: 4:28:12, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0255, loss_cls: 0.1269, acc: 95.2190, loss_bbox: 0.1739, loss_mask: 0.1891, loss: 0.5300 +2022-09-23 08:07:19,510 - mmdet - INFO - Epoch [32][1250/7330] lr: 1.000e-05, eta: 4:27:49, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0273, loss_cls: 0.1307, acc: 95.0381, loss_bbox: 0.1826, loss_mask: 0.1909, loss: 0.5487 +2022-09-23 08:07:41,417 - mmdet - INFO - Epoch [32][1300/7330] lr: 1.000e-05, eta: 4:27:26, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0279, loss_cls: 0.1376, acc: 94.8403, loss_bbox: 0.1783, loss_mask: 0.1947, loss: 0.5568 +2022-09-23 08:08:03,830 - mmdet - INFO - Epoch [32][1350/7330] lr: 1.000e-05, eta: 4:27:03, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0271, loss_cls: 0.1289, acc: 95.0710, loss_bbox: 0.1797, loss_mask: 0.1933, loss: 0.5460 +2022-09-23 08:08:25,723 - mmdet - INFO - Epoch [32][1400/7330] lr: 1.000e-05, eta: 4:26:40, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0269, loss_cls: 0.1343, acc: 94.9237, loss_bbox: 0.1860, loss_mask: 0.1993, loss: 0.5636 +2022-09-23 08:08:47,694 - mmdet - INFO - Epoch [32][1450/7330] lr: 1.000e-05, eta: 4:26:17, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0248, loss_cls: 0.1269, acc: 95.3271, loss_bbox: 0.1745, loss_mask: 0.1890, loss: 0.5312 +2022-09-23 08:09:10,038 - mmdet - INFO - Epoch [32][1500/7330] lr: 1.000e-05, eta: 4:25:55, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0263, loss_cls: 0.1303, acc: 95.0056, loss_bbox: 0.1794, loss_mask: 0.1989, loss: 0.5501 +2022-09-23 08:09:31,554 - mmdet - INFO - Epoch [32][1550/7330] lr: 1.000e-05, eta: 4:25:32, time: 0.430, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0249, loss_cls: 0.1245, acc: 95.3271, loss_bbox: 0.1708, loss_mask: 0.1881, loss: 0.5246 +2022-09-23 08:09:53,414 - mmdet - INFO - Epoch [32][1600/7330] lr: 1.000e-05, eta: 4:25:09, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0276, loss_cls: 0.1349, acc: 94.9089, loss_bbox: 0.1784, loss_mask: 0.1900, loss: 0.5490 +2022-09-23 08:10:14,987 - mmdet - INFO - Epoch [32][1650/7330] lr: 1.000e-05, eta: 4:24:46, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0269, loss_cls: 0.1344, acc: 94.8687, loss_bbox: 0.1871, loss_mask: 0.1945, loss: 0.5591 +2022-09-23 08:10:36,970 - mmdet - INFO - Epoch [32][1700/7330] lr: 1.000e-05, eta: 4:24:23, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0288, loss_cls: 0.1348, acc: 94.8831, loss_bbox: 0.1810, loss_mask: 0.1923, loss: 0.5552 +2022-09-23 08:10:58,799 - mmdet - INFO - Epoch [32][1750/7330] lr: 1.000e-05, eta: 4:24:00, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0287, loss_cls: 0.1392, acc: 94.7922, loss_bbox: 0.1872, loss_mask: 0.1993, loss: 0.5703 +2022-09-23 08:11:20,671 - mmdet - INFO - Epoch [32][1800/7330] lr: 1.000e-05, eta: 4:23:37, time: 0.437, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0257, loss_cls: 0.1292, acc: 95.1450, loss_bbox: 0.1788, loss_mask: 0.1892, loss: 0.5384 +2022-09-23 08:11:43,123 - mmdet - INFO - Epoch [32][1850/7330] lr: 1.000e-05, eta: 4:23:15, time: 0.449, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0293, loss_cls: 0.1331, acc: 94.9656, loss_bbox: 0.1833, loss_mask: 0.1935, loss: 0.5582 +2022-09-23 08:12:04,996 - mmdet - INFO - Epoch [32][1900/7330] lr: 1.000e-05, eta: 4:22:52, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0276, loss_cls: 0.1289, acc: 95.1528, loss_bbox: 0.1800, loss_mask: 0.1935, loss: 0.5464 +2022-09-23 08:12:26,385 - mmdet - INFO - Epoch [32][1950/7330] lr: 1.000e-05, eta: 4:22:29, time: 0.428, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0261, loss_cls: 0.1265, acc: 95.2405, loss_bbox: 0.1698, loss_mask: 0.1924, loss: 0.5308 +2022-09-23 08:12:48,209 - mmdet - INFO - Epoch [32][2000/7330] lr: 1.000e-05, eta: 4:22:06, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0268, loss_cls: 0.1381, acc: 94.7930, loss_bbox: 0.1871, loss_mask: 0.1983, loss: 0.5656 +2022-09-23 08:13:09,509 - mmdet - INFO - Epoch [32][2050/7330] lr: 1.000e-05, eta: 4:21:43, time: 0.426, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0262, loss_cls: 0.1299, acc: 95.1533, loss_bbox: 0.1780, loss_mask: 0.1932, loss: 0.5421 +2022-09-23 08:13:31,096 - mmdet - INFO - Epoch [32][2100/7330] lr: 1.000e-05, eta: 4:21:20, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0239, loss_cls: 0.1238, acc: 95.2488, loss_bbox: 0.1724, loss_mask: 0.1898, loss: 0.5231 +2022-09-23 08:13:53,047 - mmdet - INFO - Epoch [32][2150/7330] lr: 1.000e-05, eta: 4:20:57, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0274, loss_cls: 0.1392, acc: 94.8337, loss_bbox: 0.1854, loss_mask: 0.1959, loss: 0.5648 +2022-09-23 08:14:14,457 - mmdet - INFO - Epoch [32][2200/7330] lr: 1.000e-05, eta: 4:20:34, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0281, loss_cls: 0.1376, acc: 94.8489, loss_bbox: 0.1867, loss_mask: 0.1947, loss: 0.5655 +2022-09-23 08:14:36,553 - mmdet - INFO - Epoch [32][2250/7330] lr: 1.000e-05, eta: 4:20:11, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0285, loss_cls: 0.1368, acc: 94.7981, loss_bbox: 0.1839, loss_mask: 0.1909, loss: 0.5578 +2022-09-23 08:14:58,228 - mmdet - INFO - Epoch [32][2300/7330] lr: 1.000e-05, eta: 4:19:48, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0259, loss_cls: 0.1307, acc: 95.1052, loss_bbox: 0.1793, loss_mask: 0.1950, loss: 0.5465 +2022-09-23 08:15:20,515 - mmdet - INFO - Epoch [32][2350/7330] lr: 1.000e-05, eta: 4:19:26, time: 0.447, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0271, loss_cls: 0.1356, acc: 94.8877, loss_bbox: 0.1831, loss_mask: 0.1962, loss: 0.5588 +2022-09-23 08:15:42,855 - mmdet - INFO - Epoch [32][2400/7330] lr: 1.000e-05, eta: 4:19:03, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0280, loss_cls: 0.1348, acc: 94.8594, loss_bbox: 0.1861, loss_mask: 0.1963, loss: 0.5613 +2022-09-23 08:16:04,254 - mmdet - INFO - Epoch [32][2450/7330] lr: 1.000e-05, eta: 4:18:40, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0258, loss_cls: 0.1285, acc: 95.1816, loss_bbox: 0.1729, loss_mask: 0.1943, loss: 0.5362 +2022-09-23 08:16:26,149 - mmdet - INFO - Epoch [32][2500/7330] lr: 1.000e-05, eta: 4:18:17, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0270, loss_cls: 0.1376, acc: 94.8999, loss_bbox: 0.1842, loss_mask: 0.1933, loss: 0.5599 +2022-09-23 08:16:48,083 - mmdet - INFO - Epoch [32][2550/7330] lr: 1.000e-05, eta: 4:17:54, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0292, loss_cls: 0.1379, acc: 94.7922, loss_bbox: 0.1855, loss_mask: 0.1954, loss: 0.5668 +2022-09-23 08:17:09,878 - mmdet - INFO - Epoch [32][2600/7330] lr: 1.000e-05, eta: 4:17:31, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0283, loss_cls: 0.1369, acc: 94.7485, loss_bbox: 0.1883, loss_mask: 0.1958, loss: 0.5668 +2022-09-23 08:17:31,269 - mmdet - INFO - Epoch [32][2650/7330] lr: 1.000e-05, eta: 4:17:08, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0273, loss_cls: 0.1317, acc: 95.0095, loss_bbox: 0.1843, loss_mask: 0.2007, loss: 0.5604 +2022-09-23 08:17:52,792 - mmdet - INFO - Epoch [32][2700/7330] lr: 1.000e-05, eta: 4:16:46, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0291, loss_cls: 0.1371, acc: 94.8398, loss_bbox: 0.1860, loss_mask: 0.2005, loss: 0.5709 +2022-09-23 08:18:14,789 - mmdet - INFO - Epoch [32][2750/7330] lr: 1.000e-05, eta: 4:16:23, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0272, loss_cls: 0.1402, acc: 94.7944, loss_bbox: 0.1879, loss_mask: 0.1991, loss: 0.5699 +2022-09-23 08:18:36,363 - mmdet - INFO - Epoch [32][2800/7330] lr: 1.000e-05, eta: 4:16:00, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0262, loss_cls: 0.1285, acc: 95.1230, loss_bbox: 0.1761, loss_mask: 0.1920, loss: 0.5390 +2022-09-23 08:18:58,344 - mmdet - INFO - Epoch [32][2850/7330] lr: 1.000e-05, eta: 4:15:37, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0272, loss_cls: 0.1337, acc: 94.9773, loss_bbox: 0.1837, loss_mask: 0.1981, loss: 0.5591 +2022-09-23 08:19:19,617 - mmdet - INFO - Epoch [32][2900/7330] lr: 1.000e-05, eta: 4:15:14, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0251, loss_cls: 0.1265, acc: 95.1909, loss_bbox: 0.1746, loss_mask: 0.1957, loss: 0.5367 +2022-09-23 08:19:40,943 - mmdet - INFO - Epoch [32][2950/7330] lr: 1.000e-05, eta: 4:14:51, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0261, loss_cls: 0.1307, acc: 95.0579, loss_bbox: 0.1778, loss_mask: 0.1886, loss: 0.5393 +2022-09-23 08:20:02,944 - mmdet - INFO - Epoch [32][3000/7330] lr: 1.000e-05, eta: 4:14:28, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1335, acc: 94.9329, loss_bbox: 0.1820, loss_mask: 0.1923, loss: 0.5513 +2022-09-23 08:20:24,495 - mmdet - INFO - Epoch [32][3050/7330] lr: 1.000e-05, eta: 4:14:05, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0281, loss_cls: 0.1365, acc: 94.9207, loss_bbox: 0.1863, loss_mask: 0.1947, loss: 0.5635 +2022-09-23 08:20:46,131 - mmdet - INFO - Epoch [32][3100/7330] lr: 1.000e-05, eta: 4:13:42, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0293, loss_cls: 0.1415, acc: 94.7007, loss_bbox: 0.1941, loss_mask: 0.1978, loss: 0.5797 +2022-09-23 08:21:07,508 - mmdet - INFO - Epoch [32][3150/7330] lr: 1.000e-05, eta: 4:13:20, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0281, loss_cls: 0.1288, acc: 95.1331, loss_bbox: 0.1774, loss_mask: 0.1891, loss: 0.5389 +2022-09-23 08:21:28,987 - mmdet - INFO - Epoch [32][3200/7330] lr: 1.000e-05, eta: 4:12:57, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0262, loss_cls: 0.1343, acc: 94.9932, loss_bbox: 0.1810, loss_mask: 0.1933, loss: 0.5503 +2022-09-23 08:21:50,498 - mmdet - INFO - Epoch [32][3250/7330] lr: 1.000e-05, eta: 4:12:34, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0265, loss_cls: 0.1261, acc: 95.1904, loss_bbox: 0.1737, loss_mask: 0.1910, loss: 0.5320 +2022-09-23 08:22:12,151 - mmdet - INFO - Epoch [32][3300/7330] lr: 1.000e-05, eta: 4:12:11, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0280, loss_cls: 0.1318, acc: 95.0520, loss_bbox: 0.1800, loss_mask: 0.1959, loss: 0.5519 +2022-09-23 08:22:33,795 - mmdet - INFO - Epoch [32][3350/7330] lr: 1.000e-05, eta: 4:11:48, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0249, loss_cls: 0.1306, acc: 95.0506, loss_bbox: 0.1777, loss_mask: 0.1906, loss: 0.5391 +2022-09-23 08:22:55,943 - mmdet - INFO - Epoch [32][3400/7330] lr: 1.000e-05, eta: 4:11:25, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0275, loss_cls: 0.1308, acc: 95.1018, loss_bbox: 0.1804, loss_mask: 0.1982, loss: 0.5546 +2022-09-23 08:23:17,751 - mmdet - INFO - Epoch [32][3450/7330] lr: 1.000e-05, eta: 4:11:02, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0273, loss_cls: 0.1310, acc: 95.1235, loss_bbox: 0.1796, loss_mask: 0.1924, loss: 0.5469 +2022-09-23 08:23:39,709 - mmdet - INFO - Epoch [32][3500/7330] lr: 1.000e-05, eta: 4:10:39, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0264, loss_cls: 0.1288, acc: 95.1039, loss_bbox: 0.1775, loss_mask: 0.1904, loss: 0.5387 +2022-09-23 08:24:01,674 - mmdet - INFO - Epoch [32][3550/7330] lr: 1.000e-05, eta: 4:10:17, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0284, loss_cls: 0.1355, acc: 94.9253, loss_bbox: 0.1854, loss_mask: 0.1969, loss: 0.5639 +2022-09-23 08:24:23,581 - mmdet - INFO - Epoch [32][3600/7330] lr: 1.000e-05, eta: 4:09:54, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0282, loss_cls: 0.1380, acc: 94.7668, loss_bbox: 0.1829, loss_mask: 0.1951, loss: 0.5620 +2022-09-23 08:24:45,540 - mmdet - INFO - Epoch [32][3650/7330] lr: 1.000e-05, eta: 4:09:31, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0288, loss_cls: 0.1376, acc: 94.8792, loss_bbox: 0.1881, loss_mask: 0.1970, loss: 0.5683 +2022-09-23 08:25:07,431 - mmdet - INFO - Epoch [32][3700/7330] lr: 1.000e-05, eta: 4:09:08, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0273, loss_cls: 0.1358, acc: 94.8293, loss_bbox: 0.1855, loss_mask: 0.1979, loss: 0.5619 +2022-09-23 08:25:29,312 - mmdet - INFO - Epoch [32][3750/7330] lr: 1.000e-05, eta: 4:08:45, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0260, loss_cls: 0.1240, acc: 95.3569, loss_bbox: 0.1709, loss_mask: 0.1924, loss: 0.5289 +2022-09-23 08:25:51,374 - mmdet - INFO - Epoch [32][3800/7330] lr: 1.000e-05, eta: 4:08:22, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0278, loss_cls: 0.1392, acc: 94.7126, loss_bbox: 0.1881, loss_mask: 0.1982, loss: 0.5699 +2022-09-23 08:26:12,949 - mmdet - INFO - Epoch [32][3850/7330] lr: 1.000e-05, eta: 4:08:00, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0289, loss_cls: 0.1386, acc: 94.7253, loss_bbox: 0.1901, loss_mask: 0.2005, loss: 0.5746 +2022-09-23 08:26:34,309 - mmdet - INFO - Epoch [32][3900/7330] lr: 1.000e-05, eta: 4:07:37, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0265, loss_cls: 0.1296, acc: 95.1021, loss_bbox: 0.1802, loss_mask: 0.1945, loss: 0.5456 +2022-09-23 08:26:56,435 - mmdet - INFO - Epoch [32][3950/7330] lr: 1.000e-05, eta: 4:07:14, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0287, loss_cls: 0.1381, acc: 94.7573, loss_bbox: 0.1882, loss_mask: 0.1973, loss: 0.5710 +2022-09-23 08:27:18,222 - mmdet - INFO - Epoch [32][4000/7330] lr: 1.000e-05, eta: 4:06:51, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0256, loss_cls: 0.1317, acc: 95.0457, loss_bbox: 0.1782, loss_mask: 0.1909, loss: 0.5431 +2022-09-23 08:27:39,875 - mmdet - INFO - Epoch [32][4050/7330] lr: 1.000e-05, eta: 4:06:28, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0280, loss_cls: 0.1333, acc: 94.9275, loss_bbox: 0.1865, loss_mask: 0.1928, loss: 0.5562 +2022-09-23 08:28:01,438 - mmdet - INFO - Epoch [32][4100/7330] lr: 1.000e-05, eta: 4:06:05, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0257, loss_cls: 0.1340, acc: 94.9908, loss_bbox: 0.1809, loss_mask: 0.1904, loss: 0.5472 +2022-09-23 08:28:23,199 - mmdet - INFO - Epoch [32][4150/7330] lr: 1.000e-05, eta: 4:05:42, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0271, loss_cls: 0.1356, acc: 94.9106, loss_bbox: 0.1826, loss_mask: 0.1975, loss: 0.5599 +2022-09-23 08:28:44,595 - mmdet - INFO - Epoch [32][4200/7330] lr: 1.000e-05, eta: 4:05:19, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0250, loss_cls: 0.1335, acc: 94.9661, loss_bbox: 0.1830, loss_mask: 0.1933, loss: 0.5499 +2022-09-23 08:29:06,385 - mmdet - INFO - Epoch [32][4250/7330] lr: 1.000e-05, eta: 4:04:57, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0284, loss_cls: 0.1377, acc: 94.8643, loss_bbox: 0.1875, loss_mask: 0.1965, loss: 0.5690 +2022-09-23 08:29:27,951 - mmdet - INFO - Epoch [32][4300/7330] lr: 1.000e-05, eta: 4:04:34, time: 0.431, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0274, loss_cls: 0.1319, acc: 94.9700, loss_bbox: 0.1804, loss_mask: 0.1929, loss: 0.5499 +2022-09-23 08:29:49,670 - mmdet - INFO - Epoch [32][4350/7330] lr: 1.000e-05, eta: 4:04:11, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0259, loss_cls: 0.1240, acc: 95.2912, loss_bbox: 0.1741, loss_mask: 0.1935, loss: 0.5335 +2022-09-23 08:30:11,087 - mmdet - INFO - Epoch [32][4400/7330] lr: 1.000e-05, eta: 4:03:48, time: 0.428, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0265, loss_cls: 0.1309, acc: 95.0898, loss_bbox: 0.1766, loss_mask: 0.1920, loss: 0.5417 +2022-09-23 08:30:32,772 - mmdet - INFO - Epoch [32][4450/7330] lr: 1.000e-05, eta: 4:03:25, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0257, loss_cls: 0.1297, acc: 95.1077, loss_bbox: 0.1760, loss_mask: 0.1935, loss: 0.5388 +2022-09-23 08:30:54,527 - mmdet - INFO - Epoch [32][4500/7330] lr: 1.000e-05, eta: 4:03:02, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0262, loss_cls: 0.1262, acc: 95.2019, loss_bbox: 0.1744, loss_mask: 0.1941, loss: 0.5359 +2022-09-23 08:31:16,622 - mmdet - INFO - Epoch [32][4550/7330] lr: 1.000e-05, eta: 4:02:39, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0261, loss_cls: 0.1297, acc: 95.1755, loss_bbox: 0.1787, loss_mask: 0.1858, loss: 0.5369 +2022-09-23 08:31:38,856 - mmdet - INFO - Epoch [32][4600/7330] lr: 1.000e-05, eta: 4:02:17, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0287, loss_cls: 0.1406, acc: 94.7295, loss_bbox: 0.1882, loss_mask: 0.2021, loss: 0.5770 +2022-09-23 08:32:00,671 - mmdet - INFO - Epoch [32][4650/7330] lr: 1.000e-05, eta: 4:01:54, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0270, loss_cls: 0.1373, acc: 94.9009, loss_bbox: 0.1809, loss_mask: 0.1976, loss: 0.5597 +2022-09-23 08:32:22,651 - mmdet - INFO - Epoch [32][4700/7330] lr: 1.000e-05, eta: 4:01:31, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0245, loss_cls: 0.1276, acc: 95.1843, loss_bbox: 0.1751, loss_mask: 0.1877, loss: 0.5282 +2022-09-23 08:32:44,593 - mmdet - INFO - Epoch [32][4750/7330] lr: 1.000e-05, eta: 4:01:08, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0277, loss_cls: 0.1360, acc: 94.8286, loss_bbox: 0.1835, loss_mask: 0.1980, loss: 0.5628 +2022-09-23 08:33:06,450 - mmdet - INFO - Epoch [32][4800/7330] lr: 1.000e-05, eta: 4:00:45, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0271, loss_cls: 0.1294, acc: 95.1216, loss_bbox: 0.1773, loss_mask: 0.1957, loss: 0.5440 +2022-09-23 08:33:28,107 - mmdet - INFO - Epoch [32][4850/7330] lr: 1.000e-05, eta: 4:00:23, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0261, loss_cls: 0.1313, acc: 95.0774, loss_bbox: 0.1815, loss_mask: 0.1908, loss: 0.5467 +2022-09-23 08:33:49,945 - mmdet - INFO - Epoch [32][4900/7330] lr: 1.000e-05, eta: 4:00:00, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0283, loss_cls: 0.1362, acc: 94.8272, loss_bbox: 0.1848, loss_mask: 0.1953, loss: 0.5617 +2022-09-23 08:34:12,227 - mmdet - INFO - Epoch [32][4950/7330] lr: 1.000e-05, eta: 3:59:37, time: 0.446, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0273, loss_cls: 0.1352, acc: 94.8262, loss_bbox: 0.1840, loss_mask: 0.1975, loss: 0.5599 +2022-09-23 08:34:33,920 - mmdet - INFO - Epoch [32][5000/7330] lr: 1.000e-05, eta: 3:59:14, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0269, loss_cls: 0.1353, acc: 94.9241, loss_bbox: 0.1845, loss_mask: 0.2012, loss: 0.5647 +2022-09-23 08:34:55,529 - mmdet - INFO - Epoch [32][5050/7330] lr: 1.000e-05, eta: 3:58:51, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0264, loss_cls: 0.1312, acc: 95.0518, loss_bbox: 0.1795, loss_mask: 0.1924, loss: 0.5461 +2022-09-23 08:35:17,625 - mmdet - INFO - Epoch [32][5100/7330] lr: 1.000e-05, eta: 3:58:28, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0248, loss_cls: 0.1276, acc: 95.1941, loss_bbox: 0.1733, loss_mask: 0.1928, loss: 0.5340 +2022-09-23 08:35:39,811 - mmdet - INFO - Epoch [32][5150/7330] lr: 1.000e-05, eta: 3:58:06, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0289, loss_cls: 0.1382, acc: 94.7493, loss_bbox: 0.1892, loss_mask: 0.2004, loss: 0.5733 +2022-09-23 08:36:01,340 - mmdet - INFO - Epoch [32][5200/7330] lr: 1.000e-05, eta: 3:57:43, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0250, loss_cls: 0.1269, acc: 95.2070, loss_bbox: 0.1722, loss_mask: 0.1900, loss: 0.5288 +2022-09-23 08:36:23,001 - mmdet - INFO - Epoch [32][5250/7330] lr: 1.000e-05, eta: 3:57:20, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0286, loss_cls: 0.1367, acc: 94.7910, loss_bbox: 0.1836, loss_mask: 0.1967, loss: 0.5624 +2022-09-23 08:36:44,563 - mmdet - INFO - Epoch [32][5300/7330] lr: 1.000e-05, eta: 3:56:57, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0265, loss_cls: 0.1312, acc: 95.0818, loss_bbox: 0.1777, loss_mask: 0.1933, loss: 0.5452 +2022-09-23 08:37:06,309 - mmdet - INFO - Epoch [32][5350/7330] lr: 1.000e-05, eta: 3:56:34, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0253, loss_cls: 0.1276, acc: 95.1553, loss_bbox: 0.1760, loss_mask: 0.1926, loss: 0.5365 +2022-09-23 08:37:27,703 - mmdet - INFO - Epoch [32][5400/7330] lr: 1.000e-05, eta: 3:56:11, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0261, loss_cls: 0.1298, acc: 95.2282, loss_bbox: 0.1789, loss_mask: 0.1914, loss: 0.5417 +2022-09-23 08:37:49,882 - mmdet - INFO - Epoch [32][5450/7330] lr: 1.000e-05, eta: 3:55:49, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0256, loss_cls: 0.1303, acc: 95.1534, loss_bbox: 0.1733, loss_mask: 0.1900, loss: 0.5347 +2022-09-23 08:38:11,684 - mmdet - INFO - Epoch [32][5500/7330] lr: 1.000e-05, eta: 3:55:26, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0267, loss_cls: 0.1275, acc: 95.2263, loss_bbox: 0.1752, loss_mask: 0.1895, loss: 0.5351 +2022-09-23 08:38:33,423 - mmdet - INFO - Epoch [32][5550/7330] lr: 1.000e-05, eta: 3:55:03, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0277, loss_cls: 0.1387, acc: 94.8333, loss_bbox: 0.1852, loss_mask: 0.1964, loss: 0.5662 +2022-09-23 08:38:55,337 - mmdet - INFO - Epoch [32][5600/7330] lr: 1.000e-05, eta: 3:54:40, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0285, loss_cls: 0.1431, acc: 94.6250, loss_bbox: 0.1917, loss_mask: 0.1963, loss: 0.5774 +2022-09-23 08:39:17,400 - mmdet - INFO - Epoch [32][5650/7330] lr: 1.000e-05, eta: 3:54:17, time: 0.441, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0281, loss_cls: 0.1343, acc: 94.9478, loss_bbox: 0.1824, loss_mask: 0.1974, loss: 0.5587 +2022-09-23 08:39:39,296 - mmdet - INFO - Epoch [32][5700/7330] lr: 1.000e-05, eta: 3:53:54, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0275, loss_cls: 0.1359, acc: 94.7942, loss_bbox: 0.1850, loss_mask: 0.2010, loss: 0.5660 +2022-09-23 08:40:01,107 - mmdet - INFO - Epoch [32][5750/7330] lr: 1.000e-05, eta: 3:53:32, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0281, loss_cls: 0.1340, acc: 94.9238, loss_bbox: 0.1831, loss_mask: 0.1893, loss: 0.5519 +2022-09-23 08:40:23,334 - mmdet - INFO - Epoch [32][5800/7330] lr: 1.000e-05, eta: 3:53:09, time: 0.445, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0277, loss_cls: 0.1342, acc: 94.9380, loss_bbox: 0.1847, loss_mask: 0.1958, loss: 0.5586 +2022-09-23 08:40:45,935 - mmdet - INFO - Epoch [32][5850/7330] lr: 1.000e-05, eta: 3:52:46, time: 0.452, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0272, loss_cls: 0.1311, acc: 95.0146, loss_bbox: 0.1826, loss_mask: 0.1964, loss: 0.5527 +2022-09-23 08:41:07,926 - mmdet - INFO - Epoch [32][5900/7330] lr: 1.000e-05, eta: 3:52:23, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0265, loss_cls: 0.1309, acc: 95.0869, loss_bbox: 0.1786, loss_mask: 0.1913, loss: 0.5437 +2022-09-23 08:41:30,168 - mmdet - INFO - Epoch [32][5950/7330] lr: 1.000e-05, eta: 3:52:01, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0269, loss_cls: 0.1315, acc: 95.0988, loss_bbox: 0.1775, loss_mask: 0.1918, loss: 0.5426 +2022-09-23 08:41:52,017 - mmdet - INFO - Epoch [32][6000/7330] lr: 1.000e-05, eta: 3:51:38, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0275, loss_cls: 0.1349, acc: 94.9316, loss_bbox: 0.1870, loss_mask: 0.1939, loss: 0.5599 +2022-09-23 08:42:13,890 - mmdet - INFO - Epoch [32][6050/7330] lr: 1.000e-05, eta: 3:51:15, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0250, loss_cls: 0.1228, acc: 95.4582, loss_bbox: 0.1684, loss_mask: 0.1912, loss: 0.5212 +2022-09-23 08:42:35,746 - mmdet - INFO - Epoch [32][6100/7330] lr: 1.000e-05, eta: 3:50:52, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0263, loss_cls: 0.1295, acc: 95.0945, loss_bbox: 0.1770, loss_mask: 0.1966, loss: 0.5447 +2022-09-23 08:42:57,213 - mmdet - INFO - Epoch [32][6150/7330] lr: 1.000e-05, eta: 3:50:29, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0241, loss_cls: 0.1248, acc: 95.2563, loss_bbox: 0.1669, loss_mask: 0.1883, loss: 0.5191 +2022-09-23 08:43:19,107 - mmdet - INFO - Epoch [32][6200/7330] lr: 1.000e-05, eta: 3:50:07, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0275, loss_cls: 0.1321, acc: 95.0171, loss_bbox: 0.1787, loss_mask: 0.1939, loss: 0.5497 +2022-09-23 08:43:40,864 - mmdet - INFO - Epoch [32][6250/7330] lr: 1.000e-05, eta: 3:49:44, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0275, loss_cls: 0.1326, acc: 94.9971, loss_bbox: 0.1786, loss_mask: 0.1938, loss: 0.5485 +2022-09-23 08:44:02,611 - mmdet - INFO - Epoch [32][6300/7330] lr: 1.000e-05, eta: 3:49:21, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0274, loss_cls: 0.1333, acc: 95.0537, loss_bbox: 0.1809, loss_mask: 0.1944, loss: 0.5547 +2022-09-23 08:44:24,638 - mmdet - INFO - Epoch [32][6350/7330] lr: 1.000e-05, eta: 3:48:58, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0271, loss_cls: 0.1326, acc: 94.9897, loss_bbox: 0.1778, loss_mask: 0.1969, loss: 0.5508 +2022-09-23 08:44:46,107 - mmdet - INFO - Epoch [32][6400/7330] lr: 1.000e-05, eta: 3:48:35, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0241, loss_cls: 0.1273, acc: 95.1895, loss_bbox: 0.1747, loss_mask: 0.1900, loss: 0.5309 +2022-09-23 08:45:08,245 - mmdet - INFO - Epoch [32][6450/7330] lr: 1.000e-05, eta: 3:48:12, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0280, loss_cls: 0.1338, acc: 94.9075, loss_bbox: 0.1810, loss_mask: 0.1902, loss: 0.5488 +2022-09-23 08:45:30,602 - mmdet - INFO - Epoch [32][6500/7330] lr: 1.000e-05, eta: 3:47:50, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0268, loss_cls: 0.1314, acc: 95.0925, loss_bbox: 0.1737, loss_mask: 0.1912, loss: 0.5413 +2022-09-23 08:45:52,828 - mmdet - INFO - Epoch [32][6550/7330] lr: 1.000e-05, eta: 3:47:27, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0268, loss_cls: 0.1339, acc: 94.9724, loss_bbox: 0.1845, loss_mask: 0.1962, loss: 0.5564 +2022-09-23 08:46:14,953 - mmdet - INFO - Epoch [32][6600/7330] lr: 1.000e-05, eta: 3:47:04, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0260, loss_cls: 0.1293, acc: 95.1067, loss_bbox: 0.1770, loss_mask: 0.1928, loss: 0.5412 +2022-09-23 08:46:36,948 - mmdet - INFO - Epoch [32][6650/7330] lr: 1.000e-05, eta: 3:46:41, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0259, loss_cls: 0.1312, acc: 95.0520, loss_bbox: 0.1765, loss_mask: 0.1958, loss: 0.5466 +2022-09-23 08:46:58,894 - mmdet - INFO - Epoch [32][6700/7330] lr: 1.000e-05, eta: 3:46:19, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0281, loss_cls: 0.1276, acc: 95.1802, loss_bbox: 0.1791, loss_mask: 0.1990, loss: 0.5500 +2022-09-23 08:47:20,701 - mmdet - INFO - Epoch [32][6750/7330] lr: 1.000e-05, eta: 3:45:56, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0250, loss_cls: 0.1289, acc: 95.0759, loss_bbox: 0.1750, loss_mask: 0.1921, loss: 0.5365 +2022-09-23 08:47:42,557 - mmdet - INFO - Epoch [32][6800/7330] lr: 1.000e-05, eta: 3:45:33, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0269, loss_cls: 0.1294, acc: 95.0908, loss_bbox: 0.1807, loss_mask: 0.1929, loss: 0.5469 +2022-09-23 08:48:04,191 - mmdet - INFO - Epoch [32][6850/7330] lr: 1.000e-05, eta: 3:45:10, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0271, loss_cls: 0.1338, acc: 94.9009, loss_bbox: 0.1868, loss_mask: 0.1963, loss: 0.5604 +2022-09-23 08:48:25,853 - mmdet - INFO - Epoch [32][6900/7330] lr: 1.000e-05, eta: 3:44:47, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0270, loss_cls: 0.1336, acc: 94.8893, loss_bbox: 0.1834, loss_mask: 0.1916, loss: 0.5518 +2022-09-23 08:48:47,928 - mmdet - INFO - Epoch [32][6950/7330] lr: 1.000e-05, eta: 3:44:25, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0295, loss_cls: 0.1431, acc: 94.6392, loss_bbox: 0.1906, loss_mask: 0.1991, loss: 0.5805 +2022-09-23 08:49:09,296 - mmdet - INFO - Epoch [32][7000/7330] lr: 1.000e-05, eta: 3:44:02, time: 0.427, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0283, loss_cls: 0.1344, acc: 94.9626, loss_bbox: 0.1858, loss_mask: 0.1988, loss: 0.5646 +2022-09-23 08:49:30,991 - mmdet - INFO - Epoch [32][7050/7330] lr: 1.000e-05, eta: 3:43:39, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0284, loss_cls: 0.1355, acc: 94.9197, loss_bbox: 0.1861, loss_mask: 0.1963, loss: 0.5639 +2022-09-23 08:49:52,932 - mmdet - INFO - Epoch [32][7100/7330] lr: 1.000e-05, eta: 3:43:16, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0277, loss_cls: 0.1311, acc: 95.0449, loss_bbox: 0.1801, loss_mask: 0.1922, loss: 0.5483 +2022-09-23 08:50:14,713 - mmdet - INFO - Epoch [32][7150/7330] lr: 1.000e-05, eta: 3:42:53, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0266, loss_cls: 0.1317, acc: 95.0510, loss_bbox: 0.1798, loss_mask: 0.1971, loss: 0.5514 +2022-09-23 08:50:36,625 - mmdet - INFO - Epoch [32][7200/7330] lr: 1.000e-05, eta: 3:42:30, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0261, loss_cls: 0.1258, acc: 95.2349, loss_bbox: 0.1745, loss_mask: 0.1917, loss: 0.5328 +2022-09-23 08:50:58,467 - mmdet - INFO - Epoch [32][7250/7330] lr: 1.000e-05, eta: 3:42:08, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0271, loss_cls: 0.1336, acc: 95.0181, loss_bbox: 0.1798, loss_mask: 0.1912, loss: 0.5481 +2022-09-23 08:51:20,376 - mmdet - INFO - Epoch [32][7300/7330] lr: 1.000e-05, eta: 3:41:45, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0273, loss_cls: 0.1306, acc: 95.1345, loss_bbox: 0.1758, loss_mask: 0.1905, loss: 0.5406 +2022-09-23 08:51:42,926 - mmdet - INFO - Saving checkpoint at 32 epochs +2022-09-23 08:53:55,039 - mmdet - INFO - Evaluating bbox... +2022-09-23 08:54:17,913 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.510 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.724 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.556 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.348 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.542 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.653 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.464 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.658 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.769 + +2022-09-23 08:54:17,913 - mmdet - INFO - Evaluating segm... +2022-09-23 08:54:43,726 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.450 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.694 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.484 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.262 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.478 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.637 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.396 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.593 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.718 + +2022-09-23 08:54:44,120 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 08:54:44,121 - mmdet - INFO - Epoch(val) [32][625] bbox_mAP: 0.5100, bbox_mAP_50: 0.7240, bbox_mAP_75: 0.5560, bbox_mAP_s: 0.3480, bbox_mAP_m: 0.5420, bbox_mAP_l: 0.6530, bbox_mAP_copypaste: 0.510 0.724 0.556 0.348 0.542 0.653, segm_mAP: 0.4500, segm_mAP_50: 0.6940, segm_mAP_75: 0.4840, segm_mAP_s: 0.2620, segm_mAP_m: 0.4780, segm_mAP_l: 0.6370, segm_mAP_copypaste: 0.450 0.694 0.484 0.262 0.478 0.637 +2022-09-23 08:57:14,177 - mmdet - INFO - Epoch [33][50/7330] lr: 1.000e-05, eta: 3:41:27, time: 3.001, data_time: 2.554, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0282, loss_cls: 0.1339, acc: 94.8958, loss_bbox: 0.1835, loss_mask: 0.1971, loss: 0.5598 +2022-09-23 08:57:36,444 - mmdet - INFO - Epoch [33][100/7330] lr: 1.000e-05, eta: 3:41:05, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0270, loss_cls: 0.1353, acc: 94.9453, loss_bbox: 0.1796, loss_mask: 0.1945, loss: 0.5530 +2022-09-23 08:57:58,365 - mmdet - INFO - Epoch [33][150/7330] lr: 1.000e-05, eta: 3:40:42, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0281, loss_cls: 0.1304, acc: 95.1050, loss_bbox: 0.1819, loss_mask: 0.1924, loss: 0.5495 +2022-09-23 08:58:20,467 - mmdet - INFO - Epoch [33][200/7330] lr: 1.000e-05, eta: 3:40:19, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0279, loss_cls: 0.1322, acc: 95.0088, loss_bbox: 0.1809, loss_mask: 0.1958, loss: 0.5540 +2022-09-23 08:58:42,921 - mmdet - INFO - Epoch [33][250/7330] lr: 1.000e-05, eta: 3:39:56, time: 0.449, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0268, loss_cls: 0.1278, acc: 95.2249, loss_bbox: 0.1751, loss_mask: 0.1931, loss: 0.5381 +2022-09-23 08:59:05,822 - mmdet - INFO - Epoch [33][300/7330] lr: 1.000e-05, eta: 3:39:34, time: 0.458, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0285, loss_cls: 0.1376, acc: 94.7102, loss_bbox: 0.1884, loss_mask: 0.1963, loss: 0.5682 +2022-09-23 08:59:27,568 - mmdet - INFO - Epoch [33][350/7330] lr: 1.000e-05, eta: 3:39:11, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0261, loss_cls: 0.1317, acc: 95.0286, loss_bbox: 0.1786, loss_mask: 0.1862, loss: 0.5375 +2022-09-23 08:59:49,367 - mmdet - INFO - Epoch [33][400/7330] lr: 1.000e-05, eta: 3:38:48, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0275, loss_cls: 0.1343, acc: 94.8977, loss_bbox: 0.1831, loss_mask: 0.2005, loss: 0.5624 +2022-09-23 09:00:11,353 - mmdet - INFO - Epoch [33][450/7330] lr: 1.000e-05, eta: 3:38:25, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0262, loss_cls: 0.1344, acc: 95.0427, loss_bbox: 0.1824, loss_mask: 0.1932, loss: 0.5529 +2022-09-23 09:00:33,425 - mmdet - INFO - Epoch [33][500/7330] lr: 1.000e-05, eta: 3:38:02, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0244, loss_cls: 0.1208, acc: 95.4900, loss_bbox: 0.1684, loss_mask: 0.1867, loss: 0.5148 +2022-09-23 09:00:55,426 - mmdet - INFO - Epoch [33][550/7330] lr: 1.000e-05, eta: 3:37:40, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0259, loss_cls: 0.1314, acc: 94.9874, loss_bbox: 0.1780, loss_mask: 0.1888, loss: 0.5397 +2022-09-23 09:01:17,615 - mmdet - INFO - Epoch [33][600/7330] lr: 1.000e-05, eta: 3:37:17, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0267, loss_cls: 0.1390, acc: 94.6987, loss_bbox: 0.1891, loss_mask: 0.1998, loss: 0.5708 +2022-09-23 09:01:39,571 - mmdet - INFO - Epoch [33][650/7330] lr: 1.000e-05, eta: 3:36:54, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0276, loss_cls: 0.1334, acc: 94.9328, loss_bbox: 0.1793, loss_mask: 0.1929, loss: 0.5491 +2022-09-23 09:02:02,051 - mmdet - INFO - Epoch [33][700/7330] lr: 1.000e-05, eta: 3:36:31, time: 0.450, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0284, loss_cls: 0.1356, acc: 94.8667, loss_bbox: 0.1901, loss_mask: 0.1974, loss: 0.5685 +2022-09-23 09:02:24,080 - mmdet - INFO - Epoch [33][750/7330] lr: 1.000e-05, eta: 3:36:08, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0253, loss_cls: 0.1270, acc: 95.2241, loss_bbox: 0.1728, loss_mask: 0.1908, loss: 0.5307 +2022-09-23 09:02:46,051 - mmdet - INFO - Epoch [33][800/7330] lr: 1.000e-05, eta: 3:35:46, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0278, loss_cls: 0.1310, acc: 95.0056, loss_bbox: 0.1822, loss_mask: 0.1912, loss: 0.5476 +2022-09-23 09:03:07,899 - mmdet - INFO - Epoch [33][850/7330] lr: 1.000e-05, eta: 3:35:23, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0267, loss_cls: 0.1335, acc: 95.0115, loss_bbox: 0.1791, loss_mask: 0.1916, loss: 0.5467 +2022-09-23 09:03:29,802 - mmdet - INFO - Epoch [33][900/7330] lr: 1.000e-05, eta: 3:35:00, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0264, loss_cls: 0.1282, acc: 95.1885, loss_bbox: 0.1784, loss_mask: 0.1915, loss: 0.5406 +2022-09-23 09:03:51,250 - mmdet - INFO - Epoch [33][950/7330] lr: 1.000e-05, eta: 3:34:37, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0271, loss_cls: 0.1338, acc: 94.9746, loss_bbox: 0.1818, loss_mask: 0.1958, loss: 0.5549 +2022-09-23 09:04:12,801 - mmdet - INFO - Epoch [33][1000/7330] lr: 1.000e-05, eta: 3:34:14, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0271, loss_cls: 0.1286, acc: 95.0698, loss_bbox: 0.1781, loss_mask: 0.1906, loss: 0.5397 +2022-09-23 09:04:34,896 - mmdet - INFO - Epoch [33][1050/7330] lr: 1.000e-05, eta: 3:33:51, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0267, loss_cls: 0.1388, acc: 94.7405, loss_bbox: 0.1877, loss_mask: 0.1999, loss: 0.5696 +2022-09-23 09:04:57,223 - mmdet - INFO - Epoch [33][1100/7330] lr: 1.000e-05, eta: 3:33:29, time: 0.447, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0285, loss_cls: 0.1360, acc: 94.8408, loss_bbox: 0.1850, loss_mask: 0.1972, loss: 0.5636 +2022-09-23 09:05:19,135 - mmdet - INFO - Epoch [33][1150/7330] lr: 1.000e-05, eta: 3:33:06, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0270, loss_cls: 0.1332, acc: 94.9622, loss_bbox: 0.1788, loss_mask: 0.1955, loss: 0.5501 +2022-09-23 09:05:40,934 - mmdet - INFO - Epoch [33][1200/7330] lr: 1.000e-05, eta: 3:32:43, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0257, loss_cls: 0.1285, acc: 95.0813, loss_bbox: 0.1814, loss_mask: 0.1926, loss: 0.5430 +2022-09-23 09:06:02,811 - mmdet - INFO - Epoch [33][1250/7330] lr: 1.000e-05, eta: 3:32:20, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0254, loss_cls: 0.1258, acc: 95.3269, loss_bbox: 0.1725, loss_mask: 0.1885, loss: 0.5273 +2022-09-23 09:06:24,758 - mmdet - INFO - Epoch [33][1300/7330] lr: 1.000e-05, eta: 3:31:57, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0255, loss_cls: 0.1259, acc: 95.3418, loss_bbox: 0.1687, loss_mask: 0.1871, loss: 0.5215 +2022-09-23 09:06:46,623 - mmdet - INFO - Epoch [33][1350/7330] lr: 1.000e-05, eta: 3:31:35, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0287, loss_cls: 0.1338, acc: 94.9170, loss_bbox: 0.1821, loss_mask: 0.1966, loss: 0.5586 +2022-09-23 09:07:08,597 - mmdet - INFO - Epoch [33][1400/7330] lr: 1.000e-05, eta: 3:31:12, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0275, loss_cls: 0.1332, acc: 94.9745, loss_bbox: 0.1829, loss_mask: 0.1964, loss: 0.5560 +2022-09-23 09:07:30,443 - mmdet - INFO - Epoch [33][1450/7330] lr: 1.000e-05, eta: 3:30:49, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0265, loss_cls: 0.1237, acc: 95.3352, loss_bbox: 0.1742, loss_mask: 0.1886, loss: 0.5293 +2022-09-23 09:07:51,936 - mmdet - INFO - Epoch [33][1500/7330] lr: 1.000e-05, eta: 3:30:26, time: 0.430, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0244, loss_cls: 0.1262, acc: 95.2649, loss_bbox: 0.1758, loss_mask: 0.1906, loss: 0.5313 +2022-09-23 09:08:13,706 - mmdet - INFO - Epoch [33][1550/7330] lr: 1.000e-05, eta: 3:30:03, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0306, loss_cls: 0.1384, acc: 94.8181, loss_bbox: 0.1866, loss_mask: 0.1956, loss: 0.5700 +2022-09-23 09:08:35,649 - mmdet - INFO - Epoch [33][1600/7330] lr: 1.000e-05, eta: 3:29:40, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0275, loss_cls: 0.1335, acc: 94.9543, loss_bbox: 0.1870, loss_mask: 0.1943, loss: 0.5578 +2022-09-23 09:08:57,249 - mmdet - INFO - Epoch [33][1650/7330] lr: 1.000e-05, eta: 3:29:17, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0276, loss_cls: 0.1331, acc: 95.0208, loss_bbox: 0.1788, loss_mask: 0.1906, loss: 0.5472 +2022-09-23 09:09:18,793 - mmdet - INFO - Epoch [33][1700/7330] lr: 1.000e-05, eta: 3:28:55, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0262, loss_cls: 0.1253, acc: 95.2566, loss_bbox: 0.1766, loss_mask: 0.1912, loss: 0.5352 +2022-09-23 09:09:40,760 - mmdet - INFO - Epoch [33][1750/7330] lr: 1.000e-05, eta: 3:28:32, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0267, loss_cls: 0.1266, acc: 95.1541, loss_bbox: 0.1788, loss_mask: 0.1936, loss: 0.5413 +2022-09-23 09:10:02,790 - mmdet - INFO - Epoch [33][1800/7330] lr: 1.000e-05, eta: 3:28:09, time: 0.440, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0270, loss_cls: 0.1293, acc: 95.0986, loss_bbox: 0.1761, loss_mask: 0.1990, loss: 0.5494 +2022-09-23 09:10:24,839 - mmdet - INFO - Epoch [33][1850/7330] lr: 1.000e-05, eta: 3:27:46, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0271, loss_cls: 0.1323, acc: 94.9246, loss_bbox: 0.1824, loss_mask: 0.1958, loss: 0.5541 +2022-09-23 09:10:46,527 - mmdet - INFO - Epoch [33][1900/7330] lr: 1.000e-05, eta: 3:27:23, time: 0.434, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0257, loss_cls: 0.1291, acc: 95.1479, loss_bbox: 0.1756, loss_mask: 0.1890, loss: 0.5344 +2022-09-23 09:11:08,583 - mmdet - INFO - Epoch [33][1950/7330] lr: 1.000e-05, eta: 3:27:01, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1303, acc: 95.0093, loss_bbox: 0.1812, loss_mask: 0.1970, loss: 0.5554 +2022-09-23 09:11:31,368 - mmdet - INFO - Epoch [33][2000/7330] lr: 1.000e-05, eta: 3:26:38, time: 0.456, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0312, loss_cls: 0.1405, acc: 94.5918, loss_bbox: 0.1961, loss_mask: 0.1982, loss: 0.5844 +2022-09-23 09:11:53,481 - mmdet - INFO - Epoch [33][2050/7330] lr: 1.000e-05, eta: 3:26:15, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0264, loss_cls: 0.1252, acc: 95.2717, loss_bbox: 0.1738, loss_mask: 0.1913, loss: 0.5309 +2022-09-23 09:12:15,306 - mmdet - INFO - Epoch [33][2100/7330] lr: 1.000e-05, eta: 3:25:52, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0294, loss_cls: 0.1396, acc: 94.7632, loss_bbox: 0.1852, loss_mask: 0.1955, loss: 0.5681 +2022-09-23 09:12:36,947 - mmdet - INFO - Epoch [33][2150/7330] lr: 1.000e-05, eta: 3:25:29, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0256, loss_cls: 0.1292, acc: 95.2007, loss_bbox: 0.1759, loss_mask: 0.1924, loss: 0.5394 +2022-09-23 09:12:58,893 - mmdet - INFO - Epoch [33][2200/7330] lr: 1.000e-05, eta: 3:25:07, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0296, loss_cls: 0.1373, acc: 94.7439, loss_bbox: 0.1908, loss_mask: 0.2002, loss: 0.5764 +2022-09-23 09:13:20,503 - mmdet - INFO - Epoch [33][2250/7330] lr: 1.000e-05, eta: 3:24:44, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0276, loss_cls: 0.1347, acc: 94.8628, loss_bbox: 0.1826, loss_mask: 0.1988, loss: 0.5611 +2022-09-23 09:13:42,187 - mmdet - INFO - Epoch [33][2300/7330] lr: 1.000e-05, eta: 3:24:21, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0265, loss_cls: 0.1343, acc: 94.9346, loss_bbox: 0.1821, loss_mask: 0.1987, loss: 0.5578 +2022-09-23 09:14:03,701 - mmdet - INFO - Epoch [33][2350/7330] lr: 1.000e-05, eta: 3:23:58, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0256, loss_cls: 0.1263, acc: 95.2485, loss_bbox: 0.1746, loss_mask: 0.1921, loss: 0.5335 +2022-09-23 09:14:25,087 - mmdet - INFO - Epoch [33][2400/7330] lr: 1.000e-05, eta: 3:23:35, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0255, loss_cls: 0.1320, acc: 95.0833, loss_bbox: 0.1761, loss_mask: 0.1915, loss: 0.5404 +2022-09-23 09:14:46,918 - mmdet - INFO - Epoch [33][2450/7330] lr: 1.000e-05, eta: 3:23:12, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0256, loss_cls: 0.1276, acc: 95.2068, loss_bbox: 0.1786, loss_mask: 0.1926, loss: 0.5395 +2022-09-23 09:15:09,014 - mmdet - INFO - Epoch [33][2500/7330] lr: 1.000e-05, eta: 3:22:50, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0267, loss_cls: 0.1320, acc: 95.0332, loss_bbox: 0.1817, loss_mask: 0.1977, loss: 0.5543 +2022-09-23 09:15:30,893 - mmdet - INFO - Epoch [33][2550/7330] lr: 1.000e-05, eta: 3:22:27, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0274, loss_cls: 0.1284, acc: 95.1760, loss_bbox: 0.1801, loss_mask: 0.1943, loss: 0.5460 +2022-09-23 09:15:53,025 - mmdet - INFO - Epoch [33][2600/7330] lr: 1.000e-05, eta: 3:22:04, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0278, loss_cls: 0.1361, acc: 94.9102, loss_bbox: 0.1814, loss_mask: 0.1941, loss: 0.5560 +2022-09-23 09:16:14,907 - mmdet - INFO - Epoch [33][2650/7330] lr: 1.000e-05, eta: 3:21:41, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0262, loss_cls: 0.1328, acc: 94.9871, loss_bbox: 0.1789, loss_mask: 0.1925, loss: 0.5462 +2022-09-23 09:16:36,681 - mmdet - INFO - Epoch [33][2700/7330] lr: 1.000e-05, eta: 3:21:18, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0257, loss_cls: 0.1278, acc: 95.1592, loss_bbox: 0.1741, loss_mask: 0.1916, loss: 0.5341 +2022-09-23 09:16:58,531 - mmdet - INFO - Epoch [33][2750/7330] lr: 1.000e-05, eta: 3:20:56, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0275, loss_cls: 0.1322, acc: 94.9924, loss_bbox: 0.1819, loss_mask: 0.1897, loss: 0.5472 +2022-09-23 09:17:20,756 - mmdet - INFO - Epoch [33][2800/7330] lr: 1.000e-05, eta: 3:20:33, time: 0.445, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0273, loss_cls: 0.1283, acc: 95.1680, loss_bbox: 0.1779, loss_mask: 0.1911, loss: 0.5393 +2022-09-23 09:17:42,468 - mmdet - INFO - Epoch [33][2850/7330] lr: 1.000e-05, eta: 3:20:10, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0275, loss_cls: 0.1374, acc: 94.8523, loss_bbox: 0.1857, loss_mask: 0.1960, loss: 0.5633 +2022-09-23 09:18:04,616 - mmdet - INFO - Epoch [33][2900/7330] lr: 1.000e-05, eta: 3:19:47, time: 0.443, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0276, loss_cls: 0.1335, acc: 94.9451, loss_bbox: 0.1807, loss_mask: 0.1960, loss: 0.5538 +2022-09-23 09:18:26,390 - mmdet - INFO - Epoch [33][2950/7330] lr: 1.000e-05, eta: 3:19:24, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0261, loss_cls: 0.1208, acc: 95.4558, loss_bbox: 0.1695, loss_mask: 0.1912, loss: 0.5218 +2022-09-23 09:18:48,195 - mmdet - INFO - Epoch [33][3000/7330] lr: 1.000e-05, eta: 3:19:02, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0247, loss_cls: 0.1228, acc: 95.3948, loss_bbox: 0.1718, loss_mask: 0.1865, loss: 0.5188 +2022-09-23 09:19:09,833 - mmdet - INFO - Epoch [33][3050/7330] lr: 1.000e-05, eta: 3:18:39, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0277, loss_cls: 0.1301, acc: 95.1108, loss_bbox: 0.1787, loss_mask: 0.1959, loss: 0.5488 +2022-09-23 09:19:31,775 - mmdet - INFO - Epoch [33][3100/7330] lr: 1.000e-05, eta: 3:18:16, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0272, loss_cls: 0.1299, acc: 95.0349, loss_bbox: 0.1809, loss_mask: 0.1973, loss: 0.5496 +2022-09-23 09:19:53,115 - mmdet - INFO - Epoch [33][3150/7330] lr: 1.000e-05, eta: 3:17:53, time: 0.427, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0289, loss_cls: 0.1339, acc: 94.9426, loss_bbox: 0.1832, loss_mask: 0.1959, loss: 0.5600 +2022-09-23 09:20:15,107 - mmdet - INFO - Epoch [33][3200/7330] lr: 1.000e-05, eta: 3:17:30, time: 0.440, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0282, loss_cls: 0.1345, acc: 94.9412, loss_bbox: 0.1831, loss_mask: 0.1989, loss: 0.5623 +2022-09-23 09:20:36,695 - mmdet - INFO - Epoch [33][3250/7330] lr: 1.000e-05, eta: 3:17:07, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0270, loss_cls: 0.1308, acc: 95.1050, loss_bbox: 0.1815, loss_mask: 0.1967, loss: 0.5507 +2022-09-23 09:20:58,049 - mmdet - INFO - Epoch [33][3300/7330] lr: 1.000e-05, eta: 3:16:45, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0247, loss_cls: 0.1306, acc: 95.0662, loss_bbox: 0.1770, loss_mask: 0.1919, loss: 0.5390 +2022-09-23 09:21:19,804 - mmdet - INFO - Epoch [33][3350/7330] lr: 1.000e-05, eta: 3:16:22, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0258, loss_cls: 0.1264, acc: 95.1787, loss_bbox: 0.1795, loss_mask: 0.1964, loss: 0.5423 +2022-09-23 09:21:41,313 - mmdet - INFO - Epoch [33][3400/7330] lr: 1.000e-05, eta: 3:15:59, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0243, loss_cls: 0.1264, acc: 95.2781, loss_bbox: 0.1727, loss_mask: 0.1919, loss: 0.5302 +2022-09-23 09:22:02,989 - mmdet - INFO - Epoch [33][3450/7330] lr: 1.000e-05, eta: 3:15:36, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0265, loss_cls: 0.1275, acc: 95.1663, loss_bbox: 0.1752, loss_mask: 0.1930, loss: 0.5387 +2022-09-23 09:22:25,069 - mmdet - INFO - Epoch [33][3500/7330] lr: 1.000e-05, eta: 3:15:13, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0268, loss_cls: 0.1335, acc: 94.9233, loss_bbox: 0.1857, loss_mask: 0.1951, loss: 0.5567 +2022-09-23 09:22:46,971 - mmdet - INFO - Epoch [33][3550/7330] lr: 1.000e-05, eta: 3:14:50, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0284, loss_cls: 0.1376, acc: 94.8406, loss_bbox: 0.1852, loss_mask: 0.1968, loss: 0.5670 +2022-09-23 09:23:08,679 - mmdet - INFO - Epoch [33][3600/7330] lr: 1.000e-05, eta: 3:14:28, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0265, loss_cls: 0.1394, acc: 94.8076, loss_bbox: 0.1802, loss_mask: 0.1976, loss: 0.5605 +2022-09-23 09:23:30,494 - mmdet - INFO - Epoch [33][3650/7330] lr: 1.000e-05, eta: 3:14:05, time: 0.436, data_time: 0.022, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0265, loss_cls: 0.1245, acc: 95.2686, loss_bbox: 0.1747, loss_mask: 0.1891, loss: 0.5292 +2022-09-23 09:23:52,489 - mmdet - INFO - Epoch [33][3700/7330] lr: 1.000e-05, eta: 3:13:42, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0284, loss_cls: 0.1375, acc: 94.7637, loss_bbox: 0.1880, loss_mask: 0.2002, loss: 0.5721 +2022-09-23 09:24:14,884 - mmdet - INFO - Epoch [33][3750/7330] lr: 1.000e-05, eta: 3:13:19, time: 0.448, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0272, loss_cls: 0.1329, acc: 95.0046, loss_bbox: 0.1806, loss_mask: 0.1919, loss: 0.5477 +2022-09-23 09:24:36,992 - mmdet - INFO - Epoch [33][3800/7330] lr: 1.000e-05, eta: 3:12:57, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0284, loss_cls: 0.1342, acc: 94.9500, loss_bbox: 0.1820, loss_mask: 0.1955, loss: 0.5559 +2022-09-23 09:24:58,660 - mmdet - INFO - Epoch [33][3850/7330] lr: 1.000e-05, eta: 3:12:34, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0265, loss_cls: 0.1294, acc: 95.1069, loss_bbox: 0.1773, loss_mask: 0.1901, loss: 0.5410 +2022-09-23 09:25:20,513 - mmdet - INFO - Epoch [33][3900/7330] lr: 1.000e-05, eta: 3:12:11, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0264, loss_cls: 0.1307, acc: 95.0942, loss_bbox: 0.1820, loss_mask: 0.1924, loss: 0.5484 +2022-09-23 09:25:42,247 - mmdet - INFO - Epoch [33][3950/7330] lr: 1.000e-05, eta: 3:11:48, time: 0.435, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0291, loss_cls: 0.1380, acc: 94.7888, loss_bbox: 0.1872, loss_mask: 0.1976, loss: 0.5685 +2022-09-23 09:26:03,948 - mmdet - INFO - Epoch [33][4000/7330] lr: 1.000e-05, eta: 3:11:25, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0270, loss_cls: 0.1336, acc: 95.0334, loss_bbox: 0.1788, loss_mask: 0.1942, loss: 0.5497 +2022-09-23 09:26:25,702 - mmdet - INFO - Epoch [33][4050/7330] lr: 1.000e-05, eta: 3:11:03, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0290, loss_cls: 0.1353, acc: 94.8645, loss_bbox: 0.1847, loss_mask: 0.1985, loss: 0.5651 +2022-09-23 09:26:47,438 - mmdet - INFO - Epoch [33][4100/7330] lr: 1.000e-05, eta: 3:10:40, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0273, loss_cls: 0.1371, acc: 94.9104, loss_bbox: 0.1807, loss_mask: 0.1973, loss: 0.5600 +2022-09-23 09:27:09,530 - mmdet - INFO - Epoch [33][4150/7330] lr: 1.000e-05, eta: 3:10:17, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0278, loss_cls: 0.1359, acc: 94.9375, loss_bbox: 0.1857, loss_mask: 0.1967, loss: 0.5628 +2022-09-23 09:27:31,397 - mmdet - INFO - Epoch [33][4200/7330] lr: 1.000e-05, eta: 3:09:54, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0272, loss_cls: 0.1292, acc: 95.0688, loss_bbox: 0.1806, loss_mask: 0.1925, loss: 0.5436 +2022-09-23 09:27:52,816 - mmdet - INFO - Epoch [33][4250/7330] lr: 1.000e-05, eta: 3:09:31, time: 0.429, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0252, loss_cls: 0.1254, acc: 95.2571, loss_bbox: 0.1718, loss_mask: 0.1925, loss: 0.5290 +2022-09-23 09:28:14,388 - mmdet - INFO - Epoch [33][4300/7330] lr: 1.000e-05, eta: 3:09:08, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0255, loss_cls: 0.1298, acc: 95.1741, loss_bbox: 0.1761, loss_mask: 0.1894, loss: 0.5368 +2022-09-23 09:28:36,402 - mmdet - INFO - Epoch [33][4350/7330] lr: 1.000e-05, eta: 3:08:46, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0256, loss_cls: 0.1241, acc: 95.3196, loss_bbox: 0.1751, loss_mask: 0.1923, loss: 0.5344 +2022-09-23 09:28:58,405 - mmdet - INFO - Epoch [33][4400/7330] lr: 1.000e-05, eta: 3:08:23, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0279, loss_cls: 0.1325, acc: 94.9778, loss_bbox: 0.1835, loss_mask: 0.1977, loss: 0.5585 +2022-09-23 09:29:19,912 - mmdet - INFO - Epoch [33][4450/7330] lr: 1.000e-05, eta: 3:08:00, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0281, loss_cls: 0.1375, acc: 94.7756, loss_bbox: 0.1864, loss_mask: 0.1961, loss: 0.5643 +2022-09-23 09:29:41,674 - mmdet - INFO - Epoch [33][4500/7330] lr: 1.000e-05, eta: 3:07:37, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0267, loss_cls: 0.1270, acc: 95.1135, loss_bbox: 0.1753, loss_mask: 0.1906, loss: 0.5345 +2022-09-23 09:30:03,433 - mmdet - INFO - Epoch [33][4550/7330] lr: 1.000e-05, eta: 3:07:14, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0286, loss_cls: 0.1360, acc: 94.9131, loss_bbox: 0.1929, loss_mask: 0.1944, loss: 0.5684 +2022-09-23 09:30:25,085 - mmdet - INFO - Epoch [33][4600/7330] lr: 1.000e-05, eta: 3:06:52, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0264, loss_cls: 0.1314, acc: 95.1042, loss_bbox: 0.1787, loss_mask: 0.1907, loss: 0.5424 +2022-09-23 09:30:46,908 - mmdet - INFO - Epoch [33][4650/7330] lr: 1.000e-05, eta: 3:06:29, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0272, loss_cls: 0.1333, acc: 94.9741, loss_bbox: 0.1793, loss_mask: 0.1928, loss: 0.5494 +2022-09-23 09:31:08,610 - mmdet - INFO - Epoch [33][4700/7330] lr: 1.000e-05, eta: 3:06:06, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0279, loss_cls: 0.1261, acc: 95.2663, loss_bbox: 0.1741, loss_mask: 0.1861, loss: 0.5300 +2022-09-23 09:31:30,496 - mmdet - INFO - Epoch [33][4750/7330] lr: 1.000e-05, eta: 3:05:43, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0270, loss_cls: 0.1323, acc: 94.9749, loss_bbox: 0.1810, loss_mask: 0.1959, loss: 0.5523 +2022-09-23 09:31:52,109 - mmdet - INFO - Epoch [33][4800/7330] lr: 1.000e-05, eta: 3:05:20, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0264, loss_cls: 0.1318, acc: 95.0764, loss_bbox: 0.1787, loss_mask: 0.1945, loss: 0.5479 +2022-09-23 09:32:13,602 - mmdet - INFO - Epoch [33][4850/7330] lr: 1.000e-05, eta: 3:04:58, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0284, loss_cls: 0.1325, acc: 95.0308, loss_bbox: 0.1824, loss_mask: 0.1953, loss: 0.5563 +2022-09-23 09:32:35,469 - mmdet - INFO - Epoch [33][4900/7330] lr: 1.000e-05, eta: 3:04:35, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0258, loss_cls: 0.1248, acc: 95.2607, loss_bbox: 0.1734, loss_mask: 0.1897, loss: 0.5278 +2022-09-23 09:32:57,271 - mmdet - INFO - Epoch [33][4950/7330] lr: 1.000e-05, eta: 3:04:12, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0265, loss_cls: 0.1292, acc: 95.1936, loss_bbox: 0.1798, loss_mask: 0.1916, loss: 0.5437 +2022-09-23 09:33:19,153 - mmdet - INFO - Epoch [33][5000/7330] lr: 1.000e-05, eta: 3:03:49, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0276, loss_cls: 0.1366, acc: 94.8376, loss_bbox: 0.1884, loss_mask: 0.1970, loss: 0.5678 +2022-09-23 09:33:41,420 - mmdet - INFO - Epoch [33][5050/7330] lr: 1.000e-05, eta: 3:03:26, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0275, loss_cls: 0.1315, acc: 94.9680, loss_bbox: 0.1819, loss_mask: 0.1934, loss: 0.5518 +2022-09-23 09:34:03,583 - mmdet - INFO - Epoch [33][5100/7330] lr: 1.000e-05, eta: 3:03:04, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0254, loss_cls: 0.1271, acc: 95.1531, loss_bbox: 0.1759, loss_mask: 0.1953, loss: 0.5396 +2022-09-23 09:34:25,658 - mmdet - INFO - Epoch [33][5150/7330] lr: 1.000e-05, eta: 3:02:41, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0269, loss_cls: 0.1299, acc: 95.0920, loss_bbox: 0.1760, loss_mask: 0.1926, loss: 0.5415 +2022-09-23 09:34:47,827 - mmdet - INFO - Epoch [33][5200/7330] lr: 1.000e-05, eta: 3:02:18, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0279, loss_cls: 0.1307, acc: 95.0623, loss_bbox: 0.1817, loss_mask: 0.1933, loss: 0.5501 +2022-09-23 09:35:09,623 - mmdet - INFO - Epoch [33][5250/7330] lr: 1.000e-05, eta: 3:01:55, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0262, loss_cls: 0.1270, acc: 95.1599, loss_bbox: 0.1755, loss_mask: 0.1962, loss: 0.5402 +2022-09-23 09:35:31,278 - mmdet - INFO - Epoch [33][5300/7330] lr: 1.000e-05, eta: 3:01:33, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0243, loss_cls: 0.1216, acc: 95.4514, loss_bbox: 0.1637, loss_mask: 0.1866, loss: 0.5118 +2022-09-23 09:35:53,005 - mmdet - INFO - Epoch [33][5350/7330] lr: 1.000e-05, eta: 3:01:10, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0252, loss_cls: 0.1224, acc: 95.3823, loss_bbox: 0.1709, loss_mask: 0.1866, loss: 0.5200 +2022-09-23 09:36:14,869 - mmdet - INFO - Epoch [33][5400/7330] lr: 1.000e-05, eta: 3:00:47, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0264, loss_cls: 0.1262, acc: 95.2341, loss_bbox: 0.1737, loss_mask: 0.1895, loss: 0.5313 +2022-09-23 09:36:36,492 - mmdet - INFO - Epoch [33][5450/7330] lr: 1.000e-05, eta: 3:00:24, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0254, loss_cls: 0.1276, acc: 95.2622, loss_bbox: 0.1759, loss_mask: 0.1948, loss: 0.5399 +2022-09-23 09:36:58,080 - mmdet - INFO - Epoch [33][5500/7330] lr: 1.000e-05, eta: 3:00:01, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0269, loss_cls: 0.1339, acc: 94.9897, loss_bbox: 0.1888, loss_mask: 0.1959, loss: 0.5612 +2022-09-23 09:37:19,876 - mmdet - INFO - Epoch [33][5550/7330] lr: 1.000e-05, eta: 2:59:39, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0269, loss_cls: 0.1322, acc: 95.0259, loss_bbox: 0.1804, loss_mask: 0.1975, loss: 0.5534 +2022-09-23 09:37:41,709 - mmdet - INFO - Epoch [33][5600/7330] lr: 1.000e-05, eta: 2:59:16, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0280, loss_cls: 0.1299, acc: 95.1060, loss_bbox: 0.1767, loss_mask: 0.1960, loss: 0.5471 +2022-09-23 09:38:03,566 - mmdet - INFO - Epoch [33][5650/7330] lr: 1.000e-05, eta: 2:58:53, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0257, loss_cls: 0.1279, acc: 95.1904, loss_bbox: 0.1763, loss_mask: 0.1922, loss: 0.5382 +2022-09-23 09:38:25,365 - mmdet - INFO - Epoch [33][5700/7330] lr: 1.000e-05, eta: 2:58:30, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0259, loss_cls: 0.1315, acc: 95.0757, loss_bbox: 0.1781, loss_mask: 0.1920, loss: 0.5425 +2022-09-23 09:38:46,954 - mmdet - INFO - Epoch [33][5750/7330] lr: 1.000e-05, eta: 2:58:07, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0263, loss_cls: 0.1315, acc: 94.9929, loss_bbox: 0.1830, loss_mask: 0.1978, loss: 0.5566 +2022-09-23 09:39:08,693 - mmdet - INFO - Epoch [33][5800/7330] lr: 1.000e-05, eta: 2:57:45, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0265, loss_cls: 0.1351, acc: 94.9048, loss_bbox: 0.1860, loss_mask: 0.1965, loss: 0.5608 +2022-09-23 09:39:30,270 - mmdet - INFO - Epoch [33][5850/7330] lr: 1.000e-05, eta: 2:57:22, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0273, loss_cls: 0.1333, acc: 94.9041, loss_bbox: 0.1835, loss_mask: 0.1949, loss: 0.5549 +2022-09-23 09:39:52,114 - mmdet - INFO - Epoch [33][5900/7330] lr: 1.000e-05, eta: 2:56:59, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0261, loss_cls: 0.1297, acc: 95.0986, loss_bbox: 0.1782, loss_mask: 0.1911, loss: 0.5405 +2022-09-23 09:40:14,083 - mmdet - INFO - Epoch [33][5950/7330] lr: 1.000e-05, eta: 2:56:36, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0264, loss_cls: 0.1328, acc: 94.9309, loss_bbox: 0.1820, loss_mask: 0.1901, loss: 0.5464 +2022-09-23 09:40:35,548 - mmdet - INFO - Epoch [33][6000/7330] lr: 1.000e-05, eta: 2:56:13, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0284, loss_cls: 0.1360, acc: 94.8049, loss_bbox: 0.1879, loss_mask: 0.1962, loss: 0.5645 +2022-09-23 09:40:57,278 - mmdet - INFO - Epoch [33][6050/7330] lr: 1.000e-05, eta: 2:55:51, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0263, loss_cls: 0.1306, acc: 94.9807, loss_bbox: 0.1816, loss_mask: 0.1983, loss: 0.5519 +2022-09-23 09:41:19,019 - mmdet - INFO - Epoch [33][6100/7330] lr: 1.000e-05, eta: 2:55:28, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0277, loss_cls: 0.1303, acc: 95.0484, loss_bbox: 0.1821, loss_mask: 0.1939, loss: 0.5495 +2022-09-23 09:41:41,017 - mmdet - INFO - Epoch [33][6150/7330] lr: 1.000e-05, eta: 2:55:05, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0278, loss_cls: 0.1342, acc: 95.0020, loss_bbox: 0.1812, loss_mask: 0.1948, loss: 0.5548 +2022-09-23 09:42:02,854 - mmdet - INFO - Epoch [33][6200/7330] lr: 1.000e-05, eta: 2:54:42, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0269, loss_cls: 0.1327, acc: 94.9622, loss_bbox: 0.1807, loss_mask: 0.1938, loss: 0.5497 +2022-09-23 09:42:25,159 - mmdet - INFO - Epoch [33][6250/7330] lr: 1.000e-05, eta: 2:54:20, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0279, loss_cls: 0.1308, acc: 95.0295, loss_bbox: 0.1779, loss_mask: 0.1928, loss: 0.5451 +2022-09-23 09:42:47,063 - mmdet - INFO - Epoch [33][6300/7330] lr: 1.000e-05, eta: 2:53:57, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0263, loss_cls: 0.1317, acc: 95.0437, loss_bbox: 0.1815, loss_mask: 0.1952, loss: 0.5513 +2022-09-23 09:43:08,899 - mmdet - INFO - Epoch [33][6350/7330] lr: 1.000e-05, eta: 2:53:34, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0274, loss_cls: 0.1353, acc: 94.8452, loss_bbox: 0.1840, loss_mask: 0.1970, loss: 0.5608 +2022-09-23 09:43:30,856 - mmdet - INFO - Epoch [33][6400/7330] lr: 1.000e-05, eta: 2:53:11, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0259, loss_cls: 0.1264, acc: 95.2273, loss_bbox: 0.1693, loss_mask: 0.1917, loss: 0.5295 +2022-09-23 09:43:53,080 - mmdet - INFO - Epoch [33][6450/7330] lr: 1.000e-05, eta: 2:52:49, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0273, loss_cls: 0.1362, acc: 94.8250, loss_bbox: 0.1854, loss_mask: 0.1956, loss: 0.5621 +2022-09-23 09:44:15,317 - mmdet - INFO - Epoch [33][6500/7330] lr: 1.000e-05, eta: 2:52:26, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0290, loss_cls: 0.1340, acc: 94.9849, loss_bbox: 0.1789, loss_mask: 0.1924, loss: 0.5537 +2022-09-23 09:44:38,041 - mmdet - INFO - Epoch [33][6550/7330] lr: 1.000e-05, eta: 2:52:03, time: 0.454, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0291, loss_cls: 0.1367, acc: 94.8574, loss_bbox: 0.1886, loss_mask: 0.1975, loss: 0.5703 +2022-09-23 09:44:59,594 - mmdet - INFO - Epoch [33][6600/7330] lr: 1.000e-05, eta: 2:51:40, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0280, loss_cls: 0.1364, acc: 94.9079, loss_bbox: 0.1830, loss_mask: 0.1945, loss: 0.5596 +2022-09-23 09:45:21,890 - mmdet - INFO - Epoch [33][6650/7330] lr: 1.000e-05, eta: 2:51:18, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0254, loss_cls: 0.1347, acc: 95.0132, loss_bbox: 0.1748, loss_mask: 0.1965, loss: 0.5469 +2022-09-23 09:45:43,697 - mmdet - INFO - Epoch [33][6700/7330] lr: 1.000e-05, eta: 2:50:55, time: 0.436, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0271, loss_cls: 0.1322, acc: 94.9426, loss_bbox: 0.1827, loss_mask: 0.1986, loss: 0.5562 +2022-09-23 09:46:05,295 - mmdet - INFO - Epoch [33][6750/7330] lr: 1.000e-05, eta: 2:50:32, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0263, loss_cls: 0.1318, acc: 95.0674, loss_bbox: 0.1798, loss_mask: 0.1913, loss: 0.5442 +2022-09-23 09:46:27,181 - mmdet - INFO - Epoch [33][6800/7330] lr: 1.000e-05, eta: 2:50:09, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0262, loss_cls: 0.1262, acc: 95.1914, loss_bbox: 0.1756, loss_mask: 0.1928, loss: 0.5361 +2022-09-23 09:46:49,035 - mmdet - INFO - Epoch [33][6850/7330] lr: 1.000e-05, eta: 2:49:47, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0280, loss_cls: 0.1305, acc: 95.0532, loss_bbox: 0.1802, loss_mask: 0.1916, loss: 0.5470 +2022-09-23 09:47:11,281 - mmdet - INFO - Epoch [33][6900/7330] lr: 1.000e-05, eta: 2:49:24, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0279, loss_cls: 0.1359, acc: 94.9119, loss_bbox: 0.1851, loss_mask: 0.1960, loss: 0.5608 +2022-09-23 09:47:33,550 - mmdet - INFO - Epoch [33][6950/7330] lr: 1.000e-05, eta: 2:49:01, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0273, loss_cls: 0.1305, acc: 95.0325, loss_bbox: 0.1804, loss_mask: 0.1920, loss: 0.5464 +2022-09-23 09:47:55,562 - mmdet - INFO - Epoch [33][7000/7330] lr: 1.000e-05, eta: 2:48:38, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0274, loss_cls: 0.1272, acc: 95.1521, loss_bbox: 0.1782, loss_mask: 0.1925, loss: 0.5422 +2022-09-23 09:48:17,014 - mmdet - INFO - Epoch [33][7050/7330] lr: 1.000e-05, eta: 2:48:16, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0256, loss_cls: 0.1257, acc: 95.3091, loss_bbox: 0.1726, loss_mask: 0.1906, loss: 0.5293 +2022-09-23 09:48:38,963 - mmdet - INFO - Epoch [33][7100/7330] lr: 1.000e-05, eta: 2:47:53, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0283, loss_cls: 0.1296, acc: 95.0986, loss_bbox: 0.1792, loss_mask: 0.1975, loss: 0.5520 +2022-09-23 09:49:01,086 - mmdet - INFO - Epoch [33][7150/7330] lr: 1.000e-05, eta: 2:47:30, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0288, loss_cls: 0.1385, acc: 94.8213, loss_bbox: 0.1885, loss_mask: 0.1947, loss: 0.5677 +2022-09-23 09:49:23,312 - mmdet - INFO - Epoch [33][7200/7330] lr: 1.000e-05, eta: 2:47:07, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0266, loss_cls: 0.1333, acc: 95.0012, loss_bbox: 0.1808, loss_mask: 0.1941, loss: 0.5511 +2022-09-23 09:49:45,158 - mmdet - INFO - Epoch [33][7250/7330] lr: 1.000e-05, eta: 2:46:45, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1326, acc: 95.0532, loss_bbox: 0.1736, loss_mask: 0.1933, loss: 0.5427 +2022-09-23 09:50:06,985 - mmdet - INFO - Epoch [33][7300/7330] lr: 1.000e-05, eta: 2:46:22, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0259, loss_cls: 0.1310, acc: 95.1355, loss_bbox: 0.1755, loss_mask: 0.1935, loss: 0.5413 +2022-09-23 09:50:29,842 - mmdet - INFO - Saving checkpoint at 33 epochs +2022-09-23 09:52:40,198 - mmdet - INFO - Evaluating bbox... +2022-09-23 09:53:02,605 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.512 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.724 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.556 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.350 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.546 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.659 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.627 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.468 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.661 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.772 + +2022-09-23 09:53:02,606 - mmdet - INFO - Evaluating segm... +2022-09-23 09:53:27,785 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.453 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.695 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.488 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.263 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.484 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.642 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.562 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.562 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.562 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.398 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.599 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.719 + +2022-09-23 09:53:28,169 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 09:53:28,170 - mmdet - INFO - Epoch(val) [33][625] bbox_mAP: 0.5120, bbox_mAP_50: 0.7240, bbox_mAP_75: 0.5560, bbox_mAP_s: 0.3500, bbox_mAP_m: 0.5460, bbox_mAP_l: 0.6590, bbox_mAP_copypaste: 0.512 0.724 0.556 0.350 0.546 0.659, segm_mAP: 0.4530, segm_mAP_50: 0.6950, segm_mAP_75: 0.4880, segm_mAP_s: 0.2630, segm_mAP_m: 0.4840, segm_mAP_l: 0.6420, segm_mAP_copypaste: 0.453 0.695 0.488 0.263 0.484 0.642 +2022-09-23 09:55:57,213 - mmdet - INFO - Epoch [34][50/7330] lr: 1.000e-06, eta: 2:45:59, time: 2.981, data_time: 2.533, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0259, loss_cls: 0.1287, acc: 95.0950, loss_bbox: 0.1725, loss_mask: 0.1888, loss: 0.5328 +2022-09-23 09:56:19,449 - mmdet - INFO - Epoch [34][100/7330] lr: 1.000e-06, eta: 2:45:36, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0269, loss_cls: 0.1332, acc: 95.0354, loss_bbox: 0.1816, loss_mask: 0.1928, loss: 0.5504 +2022-09-23 09:56:41,312 - mmdet - INFO - Epoch [34][150/7330] lr: 1.000e-06, eta: 2:45:14, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0268, loss_cls: 0.1309, acc: 95.0632, loss_bbox: 0.1811, loss_mask: 0.1979, loss: 0.5544 +2022-09-23 09:57:03,407 - mmdet - INFO - Epoch [34][200/7330] lr: 1.000e-06, eta: 2:44:51, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0263, loss_cls: 0.1321, acc: 94.9172, loss_bbox: 0.1795, loss_mask: 0.1950, loss: 0.5486 +2022-09-23 09:57:25,825 - mmdet - INFO - Epoch [34][250/7330] lr: 1.000e-06, eta: 2:44:28, time: 0.447, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0273, loss_cls: 0.1320, acc: 95.0168, loss_bbox: 0.1861, loss_mask: 0.1962, loss: 0.5572 +2022-09-23 09:57:48,129 - mmdet - INFO - Epoch [34][300/7330] lr: 1.000e-06, eta: 2:44:05, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0282, loss_cls: 0.1344, acc: 94.9813, loss_bbox: 0.1815, loss_mask: 0.1928, loss: 0.5545 +2022-09-23 09:58:10,246 - mmdet - INFO - Epoch [34][350/7330] lr: 1.000e-06, eta: 2:43:43, time: 0.442, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0274, loss_cls: 0.1344, acc: 94.9153, loss_bbox: 0.1838, loss_mask: 0.1970, loss: 0.5594 +2022-09-23 09:58:31,910 - mmdet - INFO - Epoch [34][400/7330] lr: 1.000e-06, eta: 2:43:20, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0263, loss_cls: 0.1304, acc: 95.1072, loss_bbox: 0.1805, loss_mask: 0.1961, loss: 0.5487 +2022-09-23 09:58:53,508 - mmdet - INFO - Epoch [34][450/7330] lr: 1.000e-06, eta: 2:42:57, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0266, loss_cls: 0.1266, acc: 95.2236, loss_bbox: 0.1768, loss_mask: 0.1939, loss: 0.5397 +2022-09-23 09:59:15,578 - mmdet - INFO - Epoch [34][500/7330] lr: 1.000e-06, eta: 2:42:34, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0286, loss_cls: 0.1346, acc: 94.8879, loss_bbox: 0.1838, loss_mask: 0.1985, loss: 0.5642 +2022-09-23 09:59:37,857 - mmdet - INFO - Epoch [34][550/7330] lr: 1.000e-06, eta: 2:42:11, time: 0.446, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0285, loss_cls: 0.1313, acc: 95.0745, loss_bbox: 0.1784, loss_mask: 0.1915, loss: 0.5458 +2022-09-23 09:59:59,735 - mmdet - INFO - Epoch [34][600/7330] lr: 1.000e-06, eta: 2:41:49, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0262, loss_cls: 0.1268, acc: 95.1635, loss_bbox: 0.1743, loss_mask: 0.1916, loss: 0.5350 +2022-09-23 10:00:21,745 - mmdet - INFO - Epoch [34][650/7330] lr: 1.000e-06, eta: 2:41:26, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0275, loss_cls: 0.1329, acc: 94.9208, loss_bbox: 0.1824, loss_mask: 0.1946, loss: 0.5538 +2022-09-23 10:00:43,034 - mmdet - INFO - Epoch [34][700/7330] lr: 1.000e-06, eta: 2:41:03, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0251, loss_cls: 0.1249, acc: 95.2622, loss_bbox: 0.1744, loss_mask: 0.1914, loss: 0.5312 +2022-09-23 10:01:04,552 - mmdet - INFO - Epoch [34][750/7330] lr: 1.000e-06, eta: 2:40:40, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0257, loss_cls: 0.1271, acc: 95.1794, loss_bbox: 0.1754, loss_mask: 0.1948, loss: 0.5373 +2022-09-23 10:01:26,243 - mmdet - INFO - Epoch [34][800/7330] lr: 1.000e-06, eta: 2:40:17, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0278, loss_cls: 0.1344, acc: 94.9429, loss_bbox: 0.1853, loss_mask: 0.1993, loss: 0.5647 +2022-09-23 10:01:47,968 - mmdet - INFO - Epoch [34][850/7330] lr: 1.000e-06, eta: 2:39:55, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0261, loss_cls: 0.1251, acc: 95.2498, loss_bbox: 0.1769, loss_mask: 0.1945, loss: 0.5389 +2022-09-23 10:02:09,554 - mmdet - INFO - Epoch [34][900/7330] lr: 1.000e-06, eta: 2:39:32, time: 0.432, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0273, loss_cls: 0.1301, acc: 95.0967, loss_bbox: 0.1810, loss_mask: 0.1933, loss: 0.5474 +2022-09-23 10:02:31,125 - mmdet - INFO - Epoch [34][950/7330] lr: 1.000e-06, eta: 2:39:09, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0273, loss_cls: 0.1303, acc: 95.1011, loss_bbox: 0.1807, loss_mask: 0.1968, loss: 0.5522 +2022-09-23 10:02:52,770 - mmdet - INFO - Epoch [34][1000/7330] lr: 1.000e-06, eta: 2:38:46, time: 0.433, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0272, loss_cls: 0.1300, acc: 95.0442, loss_bbox: 0.1838, loss_mask: 0.1933, loss: 0.5504 +2022-09-23 10:03:14,457 - mmdet - INFO - Epoch [34][1050/7330] lr: 1.000e-06, eta: 2:38:23, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0265, loss_cls: 0.1334, acc: 95.0105, loss_bbox: 0.1810, loss_mask: 0.1943, loss: 0.5511 +2022-09-23 10:03:36,266 - mmdet - INFO - Epoch [34][1100/7330] lr: 1.000e-06, eta: 2:38:00, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0291, loss_cls: 0.1352, acc: 94.8381, loss_bbox: 0.1861, loss_mask: 0.1986, loss: 0.5665 +2022-09-23 10:03:58,259 - mmdet - INFO - Epoch [34][1150/7330] lr: 1.000e-06, eta: 2:37:38, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0263, loss_cls: 0.1241, acc: 95.3352, loss_bbox: 0.1702, loss_mask: 0.1866, loss: 0.5223 +2022-09-23 10:04:19,906 - mmdet - INFO - Epoch [34][1200/7330] lr: 1.000e-06, eta: 2:37:15, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0273, loss_cls: 0.1323, acc: 94.9841, loss_bbox: 0.1810, loss_mask: 0.1968, loss: 0.5531 +2022-09-23 10:04:41,605 - mmdet - INFO - Epoch [34][1250/7330] lr: 1.000e-06, eta: 2:36:52, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0260, loss_cls: 0.1279, acc: 95.1313, loss_bbox: 0.1742, loss_mask: 0.1937, loss: 0.5389 +2022-09-23 10:05:03,830 - mmdet - INFO - Epoch [34][1300/7330] lr: 1.000e-06, eta: 2:36:29, time: 0.444, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0272, loss_cls: 0.1359, acc: 94.9282, loss_bbox: 0.1852, loss_mask: 0.1967, loss: 0.5615 +2022-09-23 10:05:25,899 - mmdet - INFO - Epoch [34][1350/7330] lr: 1.000e-06, eta: 2:36:07, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0305, loss_cls: 0.1393, acc: 94.7588, loss_bbox: 0.1910, loss_mask: 0.1964, loss: 0.5756 +2022-09-23 10:05:47,737 - mmdet - INFO - Epoch [34][1400/7330] lr: 1.000e-06, eta: 2:35:44, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0271, loss_cls: 0.1310, acc: 95.0391, loss_bbox: 0.1823, loss_mask: 0.1955, loss: 0.5511 +2022-09-23 10:06:09,744 - mmdet - INFO - Epoch [34][1450/7330] lr: 1.000e-06, eta: 2:35:21, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0267, loss_cls: 0.1347, acc: 94.9111, loss_bbox: 0.1828, loss_mask: 0.1932, loss: 0.5542 +2022-09-23 10:06:31,468 - mmdet - INFO - Epoch [34][1500/7330] lr: 1.000e-06, eta: 2:34:58, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0294, loss_cls: 0.1401, acc: 94.6536, loss_bbox: 0.1875, loss_mask: 0.1977, loss: 0.5730 +2022-09-23 10:06:53,068 - mmdet - INFO - Epoch [34][1550/7330] lr: 1.000e-06, eta: 2:34:35, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0267, loss_cls: 0.1288, acc: 95.1931, loss_bbox: 0.1754, loss_mask: 0.1912, loss: 0.5388 +2022-09-23 10:07:14,755 - mmdet - INFO - Epoch [34][1600/7330] lr: 1.000e-06, eta: 2:34:13, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0268, loss_cls: 0.1289, acc: 95.1536, loss_bbox: 0.1775, loss_mask: 0.1948, loss: 0.5425 +2022-09-23 10:07:36,522 - mmdet - INFO - Epoch [34][1650/7330] lr: 1.000e-06, eta: 2:33:50, time: 0.435, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0272, loss_cls: 0.1282, acc: 95.1111, loss_bbox: 0.1798, loss_mask: 0.1909, loss: 0.5430 +2022-09-23 10:07:57,805 - mmdet - INFO - Epoch [34][1700/7330] lr: 1.000e-06, eta: 2:33:27, time: 0.426, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0240, loss_cls: 0.1278, acc: 95.2378, loss_bbox: 0.1746, loss_mask: 0.1927, loss: 0.5335 +2022-09-23 10:08:18,966 - mmdet - INFO - Epoch [34][1750/7330] lr: 1.000e-06, eta: 2:33:04, time: 0.423, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0249, loss_cls: 0.1267, acc: 95.2937, loss_bbox: 0.1748, loss_mask: 0.1915, loss: 0.5335 +2022-09-23 10:08:40,868 - mmdet - INFO - Epoch [34][1800/7330] lr: 1.000e-06, eta: 2:32:41, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0245, loss_cls: 0.1257, acc: 95.3430, loss_bbox: 0.1726, loss_mask: 0.1905, loss: 0.5278 +2022-09-23 10:09:02,397 - mmdet - INFO - Epoch [34][1850/7330] lr: 1.000e-06, eta: 2:32:19, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0250, loss_cls: 0.1266, acc: 95.2336, loss_bbox: 0.1752, loss_mask: 0.1925, loss: 0.5338 +2022-09-23 10:09:24,224 - mmdet - INFO - Epoch [34][1900/7330] lr: 1.000e-06, eta: 2:31:56, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0264, loss_cls: 0.1271, acc: 95.2314, loss_bbox: 0.1741, loss_mask: 0.1915, loss: 0.5348 +2022-09-23 10:09:45,527 - mmdet - INFO - Epoch [34][1950/7330] lr: 1.000e-06, eta: 2:31:33, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0272, loss_cls: 0.1330, acc: 94.9927, loss_bbox: 0.1808, loss_mask: 0.1939, loss: 0.5522 +2022-09-23 10:10:07,029 - mmdet - INFO - Epoch [34][2000/7330] lr: 1.000e-06, eta: 2:31:10, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0245, loss_cls: 0.1194, acc: 95.5112, loss_bbox: 0.1694, loss_mask: 0.1899, loss: 0.5182 +2022-09-23 10:10:28,432 - mmdet - INFO - Epoch [34][2050/7330] lr: 1.000e-06, eta: 2:30:47, time: 0.428, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0261, loss_cls: 0.1299, acc: 95.2485, loss_bbox: 0.1730, loss_mask: 0.1911, loss: 0.5363 +2022-09-23 10:10:50,518 - mmdet - INFO - Epoch [34][2100/7330] lr: 1.000e-06, eta: 2:30:25, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0302, loss_cls: 0.1340, acc: 94.8955, loss_bbox: 0.1850, loss_mask: 0.1958, loss: 0.5616 +2022-09-23 10:11:12,388 - mmdet - INFO - Epoch [34][2150/7330] lr: 1.000e-06, eta: 2:30:02, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0270, loss_cls: 0.1277, acc: 95.0818, loss_bbox: 0.1768, loss_mask: 0.1879, loss: 0.5335 +2022-09-23 10:11:33,864 - mmdet - INFO - Epoch [34][2200/7330] lr: 1.000e-06, eta: 2:29:39, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0254, loss_cls: 0.1299, acc: 95.1672, loss_bbox: 0.1795, loss_mask: 0.1927, loss: 0.5436 +2022-09-23 10:11:55,728 - mmdet - INFO - Epoch [34][2250/7330] lr: 1.000e-06, eta: 2:29:16, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0275, loss_cls: 0.1316, acc: 94.9746, loss_bbox: 0.1820, loss_mask: 0.1939, loss: 0.5514 +2022-09-23 10:12:17,876 - mmdet - INFO - Epoch [34][2300/7330] lr: 1.000e-06, eta: 2:28:53, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0266, loss_cls: 0.1287, acc: 95.1526, loss_bbox: 0.1814, loss_mask: 0.1924, loss: 0.5453 +2022-09-23 10:12:39,600 - mmdet - INFO - Epoch [34][2350/7330] lr: 1.000e-06, eta: 2:28:31, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0129, loss_rpn_bbox: 0.0229, loss_cls: 0.1181, acc: 95.4897, loss_bbox: 0.1685, loss_mask: 0.1827, loss: 0.5051 +2022-09-23 10:13:01,792 - mmdet - INFO - Epoch [34][2400/7330] lr: 1.000e-06, eta: 2:28:08, time: 0.444, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0264, loss_cls: 0.1335, acc: 94.9158, loss_bbox: 0.1833, loss_mask: 0.1958, loss: 0.5549 +2022-09-23 10:13:24,158 - mmdet - INFO - Epoch [34][2450/7330] lr: 1.000e-06, eta: 2:27:45, time: 0.447, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0276, loss_cls: 0.1278, acc: 95.1426, loss_bbox: 0.1801, loss_mask: 0.1918, loss: 0.5430 +2022-09-23 10:13:45,750 - mmdet - INFO - Epoch [34][2500/7330] lr: 1.000e-06, eta: 2:27:22, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0247, loss_cls: 0.1235, acc: 95.2951, loss_bbox: 0.1711, loss_mask: 0.1902, loss: 0.5246 +2022-09-23 10:14:07,454 - mmdet - INFO - Epoch [34][2550/7330] lr: 1.000e-06, eta: 2:27:00, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0255, loss_cls: 0.1219, acc: 95.4011, loss_bbox: 0.1718, loss_mask: 0.1915, loss: 0.5262 +2022-09-23 10:14:29,457 - mmdet - INFO - Epoch [34][2600/7330] lr: 1.000e-06, eta: 2:26:37, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0262, loss_cls: 0.1282, acc: 95.1167, loss_bbox: 0.1767, loss_mask: 0.1907, loss: 0.5382 +2022-09-23 10:14:51,585 - mmdet - INFO - Epoch [34][2650/7330] lr: 1.000e-06, eta: 2:26:14, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0266, loss_cls: 0.1290, acc: 95.1721, loss_bbox: 0.1768, loss_mask: 0.1907, loss: 0.5378 +2022-09-23 10:15:13,511 - mmdet - INFO - Epoch [34][2700/7330] lr: 1.000e-06, eta: 2:25:51, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0252, loss_cls: 0.1274, acc: 95.1708, loss_bbox: 0.1753, loss_mask: 0.1892, loss: 0.5326 +2022-09-23 10:15:35,544 - mmdet - INFO - Epoch [34][2750/7330] lr: 1.000e-06, eta: 2:25:29, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0265, loss_cls: 0.1318, acc: 94.9580, loss_bbox: 0.1816, loss_mask: 0.1948, loss: 0.5506 +2022-09-23 10:15:57,268 - mmdet - INFO - Epoch [34][2800/7330] lr: 1.000e-06, eta: 2:25:06, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0258, loss_cls: 0.1284, acc: 95.2063, loss_bbox: 0.1767, loss_mask: 0.1883, loss: 0.5352 +2022-09-23 10:16:18,661 - mmdet - INFO - Epoch [34][2850/7330] lr: 1.000e-06, eta: 2:24:43, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0264, loss_cls: 0.1314, acc: 95.0195, loss_bbox: 0.1817, loss_mask: 0.1947, loss: 0.5488 +2022-09-23 10:16:40,346 - mmdet - INFO - Epoch [34][2900/7330] lr: 1.000e-06, eta: 2:24:20, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0258, loss_cls: 0.1276, acc: 95.2129, loss_bbox: 0.1729, loss_mask: 0.1911, loss: 0.5326 +2022-09-23 10:17:02,177 - mmdet - INFO - Epoch [34][2950/7330] lr: 1.000e-06, eta: 2:23:57, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0254, loss_cls: 0.1233, acc: 95.2615, loss_bbox: 0.1725, loss_mask: 0.1927, loss: 0.5294 +2022-09-23 10:17:23,971 - mmdet - INFO - Epoch [34][3000/7330] lr: 1.000e-06, eta: 2:23:35, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0271, loss_cls: 0.1345, acc: 94.9053, loss_bbox: 0.1790, loss_mask: 0.1934, loss: 0.5506 +2022-09-23 10:17:45,820 - mmdet - INFO - Epoch [34][3050/7330] lr: 1.000e-06, eta: 2:23:12, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0269, loss_cls: 0.1292, acc: 95.0718, loss_bbox: 0.1779, loss_mask: 0.1870, loss: 0.5371 +2022-09-23 10:18:07,139 - mmdet - INFO - Epoch [34][3100/7330] lr: 1.000e-06, eta: 2:22:49, time: 0.426, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0260, loss_cls: 0.1255, acc: 95.1895, loss_bbox: 0.1730, loss_mask: 0.1866, loss: 0.5264 +2022-09-23 10:18:29,103 - mmdet - INFO - Epoch [34][3150/7330] lr: 1.000e-06, eta: 2:22:26, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0255, loss_cls: 0.1266, acc: 95.2180, loss_bbox: 0.1728, loss_mask: 0.1977, loss: 0.5395 +2022-09-23 10:18:51,287 - mmdet - INFO - Epoch [34][3200/7330] lr: 1.000e-06, eta: 2:22:04, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0284, loss_cls: 0.1354, acc: 94.8579, loss_bbox: 0.1885, loss_mask: 0.1966, loss: 0.5670 +2022-09-23 10:19:12,559 - mmdet - INFO - Epoch [34][3250/7330] lr: 1.000e-06, eta: 2:21:41, time: 0.425, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0281, loss_cls: 0.1276, acc: 95.1597, loss_bbox: 0.1796, loss_mask: 0.1971, loss: 0.5484 +2022-09-23 10:19:34,565 - mmdet - INFO - Epoch [34][3300/7330] lr: 1.000e-06, eta: 2:21:18, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0259, loss_cls: 0.1256, acc: 95.2666, loss_bbox: 0.1761, loss_mask: 0.1901, loss: 0.5335 +2022-09-23 10:19:56,339 - mmdet - INFO - Epoch [34][3350/7330] lr: 1.000e-06, eta: 2:20:55, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0274, loss_cls: 0.1285, acc: 95.2424, loss_bbox: 0.1739, loss_mask: 0.1875, loss: 0.5336 +2022-09-23 10:20:17,709 - mmdet - INFO - Epoch [34][3400/7330] lr: 1.000e-06, eta: 2:20:32, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0268, loss_cls: 0.1274, acc: 95.2246, loss_bbox: 0.1729, loss_mask: 0.1933, loss: 0.5359 +2022-09-23 10:20:39,294 - mmdet - INFO - Epoch [34][3450/7330] lr: 1.000e-06, eta: 2:20:10, time: 0.432, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0279, loss_cls: 0.1319, acc: 95.0092, loss_bbox: 0.1817, loss_mask: 0.1938, loss: 0.5531 +2022-09-23 10:21:00,838 - mmdet - INFO - Epoch [34][3500/7330] lr: 1.000e-06, eta: 2:19:47, time: 0.431, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0277, loss_cls: 0.1297, acc: 95.0415, loss_bbox: 0.1791, loss_mask: 0.1910, loss: 0.5450 +2022-09-23 10:21:22,805 - mmdet - INFO - Epoch [34][3550/7330] lr: 1.000e-06, eta: 2:19:24, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0286, loss_cls: 0.1396, acc: 94.7944, loss_bbox: 0.1855, loss_mask: 0.1970, loss: 0.5671 +2022-09-23 10:21:44,130 - mmdet - INFO - Epoch [34][3600/7330] lr: 1.000e-06, eta: 2:19:01, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0262, loss_cls: 0.1254, acc: 95.2957, loss_bbox: 0.1745, loss_mask: 0.1913, loss: 0.5337 +2022-09-23 10:22:05,726 - mmdet - INFO - Epoch [34][3650/7330] lr: 1.000e-06, eta: 2:18:38, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0278, loss_cls: 0.1275, acc: 95.2185, loss_bbox: 0.1780, loss_mask: 0.1904, loss: 0.5404 +2022-09-23 10:22:28,103 - mmdet - INFO - Epoch [34][3700/7330] lr: 1.000e-06, eta: 2:18:16, time: 0.448, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0280, loss_cls: 0.1302, acc: 95.1475, loss_bbox: 0.1752, loss_mask: 0.1898, loss: 0.5415 +2022-09-23 10:22:50,128 - mmdet - INFO - Epoch [34][3750/7330] lr: 1.000e-06, eta: 2:17:53, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0301, loss_cls: 0.1373, acc: 94.7642, loss_bbox: 0.1866, loss_mask: 0.2008, loss: 0.5731 +2022-09-23 10:23:11,667 - mmdet - INFO - Epoch [34][3800/7330] lr: 1.000e-06, eta: 2:17:30, time: 0.432, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0267, loss_cls: 0.1267, acc: 95.3335, loss_bbox: 0.1763, loss_mask: 0.1955, loss: 0.5411 +2022-09-23 10:23:33,504 - mmdet - INFO - Epoch [34][3850/7330] lr: 1.000e-06, eta: 2:17:07, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0273, loss_cls: 0.1344, acc: 94.9890, loss_bbox: 0.1800, loss_mask: 0.1920, loss: 0.5498 +2022-09-23 10:23:55,456 - mmdet - INFO - Epoch [34][3900/7330] lr: 1.000e-06, eta: 2:16:45, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0264, loss_cls: 0.1325, acc: 95.0768, loss_bbox: 0.1801, loss_mask: 0.1912, loss: 0.5464 +2022-09-23 10:24:17,053 - mmdet - INFO - Epoch [34][3950/7330] lr: 1.000e-06, eta: 2:16:22, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0268, loss_cls: 0.1316, acc: 95.0132, loss_bbox: 0.1765, loss_mask: 0.1933, loss: 0.5443 +2022-09-23 10:24:38,951 - mmdet - INFO - Epoch [34][4000/7330] lr: 1.000e-06, eta: 2:15:59, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0268, loss_cls: 0.1304, acc: 95.0620, loss_bbox: 0.1791, loss_mask: 0.1936, loss: 0.5464 +2022-09-23 10:25:00,804 - mmdet - INFO - Epoch [34][4050/7330] lr: 1.000e-06, eta: 2:15:36, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0272, loss_cls: 0.1284, acc: 95.1826, loss_bbox: 0.1746, loss_mask: 0.1888, loss: 0.5323 +2022-09-23 10:25:22,695 - mmdet - INFO - Epoch [34][4100/7330] lr: 1.000e-06, eta: 2:15:14, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0245, loss_cls: 0.1250, acc: 95.2480, loss_bbox: 0.1731, loss_mask: 0.1896, loss: 0.5268 +2022-09-23 10:25:44,212 - mmdet - INFO - Epoch [34][4150/7330] lr: 1.000e-06, eta: 2:14:51, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0259, loss_cls: 0.1307, acc: 95.1038, loss_bbox: 0.1768, loss_mask: 0.1900, loss: 0.5389 +2022-09-23 10:26:05,829 - mmdet - INFO - Epoch [34][4200/7330] lr: 1.000e-06, eta: 2:14:28, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0290, loss_cls: 0.1370, acc: 94.7891, loss_bbox: 0.1876, loss_mask: 0.1993, loss: 0.5705 +2022-09-23 10:26:27,556 - mmdet - INFO - Epoch [34][4250/7330] lr: 1.000e-06, eta: 2:14:05, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0276, loss_cls: 0.1345, acc: 94.8801, loss_bbox: 0.1834, loss_mask: 0.1955, loss: 0.5576 +2022-09-23 10:26:49,122 - mmdet - INFO - Epoch [34][4300/7330] lr: 1.000e-06, eta: 2:13:43, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0264, loss_cls: 0.1311, acc: 95.0258, loss_bbox: 0.1806, loss_mask: 0.1961, loss: 0.5493 +2022-09-23 10:27:10,774 - mmdet - INFO - Epoch [34][4350/7330] lr: 1.000e-06, eta: 2:13:20, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0262, loss_cls: 0.1297, acc: 95.1531, loss_bbox: 0.1771, loss_mask: 0.1922, loss: 0.5425 +2022-09-23 10:27:32,855 - mmdet - INFO - Epoch [34][4400/7330] lr: 1.000e-06, eta: 2:12:57, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0261, loss_cls: 0.1312, acc: 95.0284, loss_bbox: 0.1790, loss_mask: 0.1969, loss: 0.5484 +2022-09-23 10:27:54,120 - mmdet - INFO - Epoch [34][4450/7330] lr: 1.000e-06, eta: 2:12:34, time: 0.425, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0245, loss_cls: 0.1235, acc: 95.3649, loss_bbox: 0.1707, loss_mask: 0.1849, loss: 0.5197 +2022-09-23 10:28:15,659 - mmdet - INFO - Epoch [34][4500/7330] lr: 1.000e-06, eta: 2:12:11, time: 0.431, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0251, loss_cls: 0.1204, acc: 95.4341, loss_bbox: 0.1709, loss_mask: 0.1911, loss: 0.5217 +2022-09-23 10:28:37,177 - mmdet - INFO - Epoch [34][4550/7330] lr: 1.000e-06, eta: 2:11:49, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0271, loss_cls: 0.1299, acc: 95.1125, loss_bbox: 0.1762, loss_mask: 0.1942, loss: 0.5431 +2022-09-23 10:28:58,797 - mmdet - INFO - Epoch [34][4600/7330] lr: 1.000e-06, eta: 2:11:26, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0260, loss_cls: 0.1215, acc: 95.4187, loss_bbox: 0.1718, loss_mask: 0.1927, loss: 0.5267 +2022-09-23 10:29:20,050 - mmdet - INFO - Epoch [34][4650/7330] lr: 1.000e-06, eta: 2:11:03, time: 0.425, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0271, loss_cls: 0.1244, acc: 95.2173, loss_bbox: 0.1745, loss_mask: 0.1923, loss: 0.5338 +2022-09-23 10:29:41,656 - mmdet - INFO - Epoch [34][4700/7330] lr: 1.000e-06, eta: 2:10:40, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0260, loss_cls: 0.1259, acc: 95.2229, loss_bbox: 0.1747, loss_mask: 0.1922, loss: 0.5346 +2022-09-23 10:30:03,151 - mmdet - INFO - Epoch [34][4750/7330] lr: 1.000e-06, eta: 2:10:18, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0267, loss_cls: 0.1289, acc: 95.0640, loss_bbox: 0.1793, loss_mask: 0.1896, loss: 0.5406 +2022-09-23 10:30:25,018 - mmdet - INFO - Epoch [34][4800/7330] lr: 1.000e-06, eta: 2:09:55, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0282, loss_cls: 0.1347, acc: 94.9250, loss_bbox: 0.1839, loss_mask: 0.1971, loss: 0.5600 +2022-09-23 10:30:46,794 - mmdet - INFO - Epoch [34][4850/7330] lr: 1.000e-06, eta: 2:09:32, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0278, loss_cls: 0.1279, acc: 95.1240, loss_bbox: 0.1789, loss_mask: 0.1992, loss: 0.5492 +2022-09-23 10:31:08,364 - mmdet - INFO - Epoch [34][4900/7330] lr: 1.000e-06, eta: 2:09:09, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0257, loss_cls: 0.1299, acc: 95.1133, loss_bbox: 0.1796, loss_mask: 0.1918, loss: 0.5426 +2022-09-23 10:31:30,345 - mmdet - INFO - Epoch [34][4950/7330] lr: 1.000e-06, eta: 2:08:46, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0263, loss_cls: 0.1291, acc: 95.0725, loss_bbox: 0.1808, loss_mask: 0.1961, loss: 0.5472 +2022-09-23 10:31:52,424 - mmdet - INFO - Epoch [34][5000/7330] lr: 1.000e-06, eta: 2:08:24, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0262, loss_cls: 0.1305, acc: 95.0836, loss_bbox: 0.1796, loss_mask: 0.1915, loss: 0.5421 +2022-09-23 10:32:13,878 - mmdet - INFO - Epoch [34][5050/7330] lr: 1.000e-06, eta: 2:08:01, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0261, loss_cls: 0.1275, acc: 95.2444, loss_bbox: 0.1707, loss_mask: 0.1856, loss: 0.5254 +2022-09-23 10:32:35,319 - mmdet - INFO - Epoch [34][5100/7330] lr: 1.000e-06, eta: 2:07:38, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0248, loss_cls: 0.1246, acc: 95.2402, loss_bbox: 0.1723, loss_mask: 0.1861, loss: 0.5235 +2022-09-23 10:32:57,187 - mmdet - INFO - Epoch [34][5150/7330] lr: 1.000e-06, eta: 2:07:15, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0257, loss_cls: 0.1310, acc: 95.0332, loss_bbox: 0.1817, loss_mask: 0.1940, loss: 0.5480 +2022-09-23 10:33:19,125 - mmdet - INFO - Epoch [34][5200/7330] lr: 1.000e-06, eta: 2:06:53, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0267, loss_cls: 0.1277, acc: 95.1314, loss_bbox: 0.1772, loss_mask: 0.1920, loss: 0.5398 +2022-09-23 10:33:41,132 - mmdet - INFO - Epoch [34][5250/7330] lr: 1.000e-06, eta: 2:06:30, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0262, loss_cls: 0.1260, acc: 95.2200, loss_bbox: 0.1750, loss_mask: 0.1895, loss: 0.5311 +2022-09-23 10:34:02,434 - mmdet - INFO - Epoch [34][5300/7330] lr: 1.000e-06, eta: 2:06:07, time: 0.426, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0268, loss_cls: 0.1281, acc: 95.1697, loss_bbox: 0.1747, loss_mask: 0.1885, loss: 0.5343 +2022-09-23 10:34:23,951 - mmdet - INFO - Epoch [34][5350/7330] lr: 1.000e-06, eta: 2:05:44, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0260, loss_cls: 0.1219, acc: 95.4329, loss_bbox: 0.1726, loss_mask: 0.1881, loss: 0.5235 +2022-09-23 10:34:45,683 - mmdet - INFO - Epoch [34][5400/7330] lr: 1.000e-06, eta: 2:05:22, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0262, loss_cls: 0.1234, acc: 95.3604, loss_bbox: 0.1685, loss_mask: 0.1871, loss: 0.5198 +2022-09-23 10:35:07,868 - mmdet - INFO - Epoch [34][5450/7330] lr: 1.000e-06, eta: 2:04:59, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0284, loss_cls: 0.1323, acc: 95.0728, loss_bbox: 0.1809, loss_mask: 0.1919, loss: 0.5500 +2022-09-23 10:35:29,278 - mmdet - INFO - Epoch [34][5500/7330] lr: 1.000e-06, eta: 2:04:36, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0261, loss_cls: 0.1278, acc: 95.0979, loss_bbox: 0.1746, loss_mask: 0.1898, loss: 0.5330 +2022-09-23 10:35:50,944 - mmdet - INFO - Epoch [34][5550/7330] lr: 1.000e-06, eta: 2:04:13, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0287, loss_cls: 0.1400, acc: 94.7603, loss_bbox: 0.1893, loss_mask: 0.1956, loss: 0.5710 +2022-09-23 10:36:12,744 - mmdet - INFO - Epoch [34][5600/7330] lr: 1.000e-06, eta: 2:03:51, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0263, loss_cls: 0.1291, acc: 95.0608, loss_bbox: 0.1781, loss_mask: 0.1926, loss: 0.5411 +2022-09-23 10:36:34,690 - mmdet - INFO - Epoch [34][5650/7330] lr: 1.000e-06, eta: 2:03:28, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0258, loss_cls: 0.1325, acc: 94.9338, loss_bbox: 0.1807, loss_mask: 0.1943, loss: 0.5474 +2022-09-23 10:36:56,769 - mmdet - INFO - Epoch [34][5700/7330] lr: 1.000e-06, eta: 2:03:05, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0278, loss_cls: 0.1363, acc: 94.8052, loss_bbox: 0.1879, loss_mask: 0.1963, loss: 0.5655 +2022-09-23 10:37:18,341 - mmdet - INFO - Epoch [34][5750/7330] lr: 1.000e-06, eta: 2:02:42, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0255, loss_cls: 0.1230, acc: 95.3574, loss_bbox: 0.1698, loss_mask: 0.1879, loss: 0.5213 +2022-09-23 10:37:39,963 - mmdet - INFO - Epoch [34][5800/7330] lr: 1.000e-06, eta: 2:02:20, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0270, loss_cls: 0.1356, acc: 94.8469, loss_bbox: 0.1848, loss_mask: 0.2016, loss: 0.5652 +2022-09-23 10:38:01,739 - mmdet - INFO - Epoch [34][5850/7330] lr: 1.000e-06, eta: 2:01:57, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0278, loss_cls: 0.1381, acc: 94.7363, loss_bbox: 0.1891, loss_mask: 0.1954, loss: 0.5657 +2022-09-23 10:38:23,271 - mmdet - INFO - Epoch [34][5900/7330] lr: 1.000e-06, eta: 2:01:34, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0281, loss_cls: 0.1392, acc: 94.7783, loss_bbox: 0.1886, loss_mask: 0.1960, loss: 0.5685 +2022-09-23 10:38:45,372 - mmdet - INFO - Epoch [34][5950/7330] lr: 1.000e-06, eta: 2:01:11, time: 0.442, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0287, loss_cls: 0.1355, acc: 94.8618, loss_bbox: 0.1876, loss_mask: 0.1919, loss: 0.5623 +2022-09-23 10:39:07,382 - mmdet - INFO - Epoch [34][6000/7330] lr: 1.000e-06, eta: 2:00:49, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0289, loss_cls: 0.1348, acc: 94.9280, loss_bbox: 0.1853, loss_mask: 0.1978, loss: 0.5644 +2022-09-23 10:39:29,077 - mmdet - INFO - Epoch [34][6050/7330] lr: 1.000e-06, eta: 2:00:26, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0277, loss_cls: 0.1299, acc: 95.0945, loss_bbox: 0.1774, loss_mask: 0.1899, loss: 0.5410 +2022-09-23 10:39:51,219 - mmdet - INFO - Epoch [34][6100/7330] lr: 1.000e-06, eta: 2:00:03, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0268, loss_cls: 0.1272, acc: 95.1503, loss_bbox: 0.1765, loss_mask: 0.1935, loss: 0.5399 +2022-09-23 10:40:13,507 - mmdet - INFO - Epoch [34][6150/7330] lr: 1.000e-06, eta: 1:59:41, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0278, loss_cls: 0.1345, acc: 94.9177, loss_bbox: 0.1838, loss_mask: 0.1944, loss: 0.5571 +2022-09-23 10:40:35,307 - mmdet - INFO - Epoch [34][6200/7330] lr: 1.000e-06, eta: 1:59:18, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0266, loss_cls: 0.1290, acc: 95.1221, loss_bbox: 0.1780, loss_mask: 0.1889, loss: 0.5387 +2022-09-23 10:40:57,409 - mmdet - INFO - Epoch [34][6250/7330] lr: 1.000e-06, eta: 1:58:55, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0276, loss_cls: 0.1332, acc: 95.0085, loss_bbox: 0.1802, loss_mask: 0.1931, loss: 0.5504 +2022-09-23 10:41:18,831 - mmdet - INFO - Epoch [34][6300/7330] lr: 1.000e-06, eta: 1:58:32, time: 0.428, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0255, loss_cls: 0.1248, acc: 95.2832, loss_bbox: 0.1730, loss_mask: 0.1877, loss: 0.5259 +2022-09-23 10:41:40,574 - mmdet - INFO - Epoch [34][6350/7330] lr: 1.000e-06, eta: 1:58:10, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0271, loss_cls: 0.1323, acc: 95.1172, loss_bbox: 0.1780, loss_mask: 0.1939, loss: 0.5488 +2022-09-23 10:42:03,229 - mmdet - INFO - Epoch [34][6400/7330] lr: 1.000e-06, eta: 1:57:47, time: 0.453, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0262, loss_cls: 0.1306, acc: 95.1101, loss_bbox: 0.1767, loss_mask: 0.1944, loss: 0.5437 +2022-09-23 10:42:24,757 - mmdet - INFO - Epoch [34][6450/7330] lr: 1.000e-06, eta: 1:57:24, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0269, loss_cls: 0.1293, acc: 95.1069, loss_bbox: 0.1781, loss_mask: 0.1899, loss: 0.5401 +2022-09-23 10:42:46,636 - mmdet - INFO - Epoch [34][6500/7330] lr: 1.000e-06, eta: 1:57:01, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0253, loss_cls: 0.1271, acc: 95.2842, loss_bbox: 0.1762, loss_mask: 0.1939, loss: 0.5371 +2022-09-23 10:43:08,594 - mmdet - INFO - Epoch [34][6550/7330] lr: 1.000e-06, eta: 1:56:39, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0266, loss_cls: 0.1308, acc: 95.1099, loss_bbox: 0.1781, loss_mask: 0.1925, loss: 0.5431 +2022-09-23 10:43:30,530 - mmdet - INFO - Epoch [34][6600/7330] lr: 1.000e-06, eta: 1:56:16, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0278, loss_cls: 0.1303, acc: 95.0210, loss_bbox: 0.1809, loss_mask: 0.1944, loss: 0.5487 +2022-09-23 10:43:52,353 - mmdet - INFO - Epoch [34][6650/7330] lr: 1.000e-06, eta: 1:55:53, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0272, loss_cls: 0.1331, acc: 94.9539, loss_bbox: 0.1794, loss_mask: 0.1933, loss: 0.5488 +2022-09-23 10:44:14,087 - mmdet - INFO - Epoch [34][6700/7330] lr: 1.000e-06, eta: 1:55:31, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0272, loss_cls: 0.1369, acc: 94.8699, loss_bbox: 0.1837, loss_mask: 0.1926, loss: 0.5567 +2022-09-23 10:44:35,740 - mmdet - INFO - Epoch [34][6750/7330] lr: 1.000e-06, eta: 1:55:08, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0264, loss_cls: 0.1327, acc: 95.0195, loss_bbox: 0.1789, loss_mask: 0.1935, loss: 0.5466 +2022-09-23 10:44:57,728 - mmdet - INFO - Epoch [34][6800/7330] lr: 1.000e-06, eta: 1:54:45, time: 0.441, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0269, loss_cls: 0.1303, acc: 95.0842, loss_bbox: 0.1773, loss_mask: 0.1930, loss: 0.5437 +2022-09-23 10:45:19,936 - mmdet - INFO - Epoch [34][6850/7330] lr: 1.000e-06, eta: 1:54:22, time: 0.444, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0269, loss_cls: 0.1308, acc: 95.0642, loss_bbox: 0.1774, loss_mask: 0.1944, loss: 0.5464 +2022-09-23 10:45:41,807 - mmdet - INFO - Epoch [34][6900/7330] lr: 1.000e-06, eta: 1:54:00, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0268, loss_cls: 0.1271, acc: 95.1675, loss_bbox: 0.1778, loss_mask: 0.1909, loss: 0.5376 +2022-09-23 10:46:03,085 - mmdet - INFO - Epoch [34][6950/7330] lr: 1.000e-06, eta: 1:53:37, time: 0.426, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0258, loss_cls: 0.1228, acc: 95.3291, loss_bbox: 0.1723, loss_mask: 0.1902, loss: 0.5260 +2022-09-23 10:46:25,234 - mmdet - INFO - Epoch [34][7000/7330] lr: 1.000e-06, eta: 1:53:14, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0267, loss_cls: 0.1315, acc: 95.0671, loss_bbox: 0.1746, loss_mask: 0.1941, loss: 0.5436 +2022-09-23 10:46:47,661 - mmdet - INFO - Epoch [34][7050/7330] lr: 1.000e-06, eta: 1:52:51, time: 0.449, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0262, loss_cls: 0.1282, acc: 95.1838, loss_bbox: 0.1761, loss_mask: 0.1881, loss: 0.5365 +2022-09-23 10:47:09,452 - mmdet - INFO - Epoch [34][7100/7330] lr: 1.000e-06, eta: 1:52:29, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0282, loss_cls: 0.1307, acc: 95.0646, loss_bbox: 0.1769, loss_mask: 0.1936, loss: 0.5455 +2022-09-23 10:47:31,279 - mmdet - INFO - Epoch [34][7150/7330] lr: 1.000e-06, eta: 1:52:06, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0254, loss_cls: 0.1240, acc: 95.3035, loss_bbox: 0.1707, loss_mask: 0.1873, loss: 0.5218 +2022-09-23 10:47:52,993 - mmdet - INFO - Epoch [34][7200/7330] lr: 1.000e-06, eta: 1:51:43, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0258, loss_cls: 0.1328, acc: 94.9980, loss_bbox: 0.1810, loss_mask: 0.1966, loss: 0.5528 +2022-09-23 10:48:15,068 - mmdet - INFO - Epoch [34][7250/7330] lr: 1.000e-06, eta: 1:51:21, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0259, loss_cls: 0.1292, acc: 95.1741, loss_bbox: 0.1751, loss_mask: 0.1902, loss: 0.5371 +2022-09-23 10:48:36,859 - mmdet - INFO - Epoch [34][7300/7330] lr: 1.000e-06, eta: 1:50:58, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0255, loss_cls: 0.1274, acc: 95.2458, loss_bbox: 0.1725, loss_mask: 0.1880, loss: 0.5295 +2022-09-23 10:48:59,807 - mmdet - INFO - Saving checkpoint at 34 epochs +2022-09-23 10:51:03,416 - mmdet - INFO - Evaluating bbox... +2022-09-23 10:51:27,261 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.724 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.557 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.347 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.546 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.658 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.461 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.660 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.771 + +2022-09-23 10:51:27,261 - mmdet - INFO - Evaluating segm... +2022-09-23 10:51:52,325 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.453 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.696 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.488 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.262 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.484 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.642 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.393 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.598 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.719 + +2022-09-23 10:51:52,700 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 10:51:52,701 - mmdet - INFO - Epoch(val) [34][625] bbox_mAP: 0.5110, bbox_mAP_50: 0.7240, bbox_mAP_75: 0.5570, bbox_mAP_s: 0.3470, bbox_mAP_m: 0.5460, bbox_mAP_l: 0.6580, bbox_mAP_copypaste: 0.511 0.724 0.557 0.347 0.546 0.658, segm_mAP: 0.4530, segm_mAP_50: 0.6960, segm_mAP_75: 0.4880, segm_mAP_s: 0.2620, segm_mAP_m: 0.4840, segm_mAP_l: 0.6420, segm_mAP_copypaste: 0.453 0.696 0.488 0.262 0.484 0.642 +2022-09-23 10:54:24,797 - mmdet - INFO - Epoch [35][50/7330] lr: 1.000e-06, eta: 1:50:30, time: 3.041, data_time: 2.602, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0279, loss_cls: 0.1352, acc: 94.8704, loss_bbox: 0.1810, loss_mask: 0.1969, loss: 0.5578 +2022-09-23 10:54:47,049 - mmdet - INFO - Epoch [35][100/7330] lr: 1.000e-06, eta: 1:50:08, time: 0.445, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0260, loss_cls: 0.1262, acc: 95.2329, loss_bbox: 0.1715, loss_mask: 0.1891, loss: 0.5292 +2022-09-23 10:55:09,145 - mmdet - INFO - Epoch [35][150/7330] lr: 1.000e-06, eta: 1:49:45, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0285, loss_cls: 0.1298, acc: 95.0818, loss_bbox: 0.1848, loss_mask: 0.1968, loss: 0.5560 +2022-09-23 10:55:31,163 - mmdet - INFO - Epoch [35][200/7330] lr: 1.000e-06, eta: 1:49:22, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0269, loss_cls: 0.1289, acc: 95.1182, loss_bbox: 0.1825, loss_mask: 0.1960, loss: 0.5513 +2022-09-23 10:55:53,431 - mmdet - INFO - Epoch [35][250/7330] lr: 1.000e-06, eta: 1:49:00, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0295, loss_cls: 0.1357, acc: 94.9412, loss_bbox: 0.1821, loss_mask: 0.2010, loss: 0.5659 +2022-09-23 10:56:15,739 - mmdet - INFO - Epoch [35][300/7330] lr: 1.000e-06, eta: 1:48:37, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0252, loss_cls: 0.1215, acc: 95.3418, loss_bbox: 0.1719, loss_mask: 0.1851, loss: 0.5176 +2022-09-23 10:56:37,771 - mmdet - INFO - Epoch [35][350/7330] lr: 1.000e-06, eta: 1:48:14, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0276, loss_cls: 0.1334, acc: 94.9509, loss_bbox: 0.1811, loss_mask: 0.1985, loss: 0.5595 +2022-09-23 10:56:59,563 - mmdet - INFO - Epoch [35][400/7330] lr: 1.000e-06, eta: 1:47:51, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0265, loss_cls: 0.1259, acc: 95.3168, loss_bbox: 0.1744, loss_mask: 0.1910, loss: 0.5331 +2022-09-23 10:57:21,587 - mmdet - INFO - Epoch [35][450/7330] lr: 1.000e-06, eta: 1:47:29, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0249, loss_cls: 0.1282, acc: 95.2576, loss_bbox: 0.1762, loss_mask: 0.1902, loss: 0.5344 +2022-09-23 10:57:43,783 - mmdet - INFO - Epoch [35][500/7330] lr: 1.000e-06, eta: 1:47:06, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0258, loss_cls: 0.1229, acc: 95.3572, loss_bbox: 0.1722, loss_mask: 0.1910, loss: 0.5276 +2022-09-23 10:58:06,189 - mmdet - INFO - Epoch [35][550/7330] lr: 1.000e-06, eta: 1:46:43, time: 0.448, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0261, loss_cls: 0.1261, acc: 95.2715, loss_bbox: 0.1693, loss_mask: 0.1891, loss: 0.5264 +2022-09-23 10:58:28,035 - mmdet - INFO - Epoch [35][600/7330] lr: 1.000e-06, eta: 1:46:20, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0263, loss_cls: 0.1287, acc: 95.1072, loss_bbox: 0.1762, loss_mask: 0.1897, loss: 0.5374 +2022-09-23 10:58:50,287 - mmdet - INFO - Epoch [35][650/7330] lr: 1.000e-06, eta: 1:45:58, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0270, loss_cls: 0.1282, acc: 95.0757, loss_bbox: 0.1799, loss_mask: 0.1883, loss: 0.5388 +2022-09-23 10:59:12,504 - mmdet - INFO - Epoch [35][700/7330] lr: 1.000e-06, eta: 1:45:35, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0258, loss_cls: 0.1245, acc: 95.3240, loss_bbox: 0.1705, loss_mask: 0.1884, loss: 0.5254 +2022-09-23 10:59:34,534 - mmdet - INFO - Epoch [35][750/7330] lr: 1.000e-06, eta: 1:45:12, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0275, loss_cls: 0.1376, acc: 94.7993, loss_bbox: 0.1841, loss_mask: 0.1985, loss: 0.5629 +2022-09-23 10:59:56,522 - mmdet - INFO - Epoch [35][800/7330] lr: 1.000e-06, eta: 1:44:49, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0266, loss_cls: 0.1321, acc: 95.0271, loss_bbox: 0.1863, loss_mask: 0.1936, loss: 0.5560 +2022-09-23 11:00:18,575 - mmdet - INFO - Epoch [35][850/7330] lr: 1.000e-06, eta: 1:44:27, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0285, loss_cls: 0.1391, acc: 94.7064, loss_bbox: 0.1898, loss_mask: 0.2008, loss: 0.5748 +2022-09-23 11:00:41,105 - mmdet - INFO - Epoch [35][900/7330] lr: 1.000e-06, eta: 1:44:04, time: 0.450, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0271, loss_cls: 0.1295, acc: 95.0891, loss_bbox: 0.1793, loss_mask: 0.1921, loss: 0.5446 +2022-09-23 11:01:02,936 - mmdet - INFO - Epoch [35][950/7330] lr: 1.000e-06, eta: 1:43:41, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0259, loss_cls: 0.1248, acc: 95.2800, loss_bbox: 0.1724, loss_mask: 0.1893, loss: 0.5279 +2022-09-23 11:01:24,937 - mmdet - INFO - Epoch [35][1000/7330] lr: 1.000e-06, eta: 1:43:19, time: 0.440, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0267, loss_cls: 0.1266, acc: 95.1697, loss_bbox: 0.1763, loss_mask: 0.1911, loss: 0.5352 +2022-09-23 11:01:47,083 - mmdet - INFO - Epoch [35][1050/7330] lr: 1.000e-06, eta: 1:42:56, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0271, loss_cls: 0.1318, acc: 95.0142, loss_bbox: 0.1792, loss_mask: 0.1967, loss: 0.5510 +2022-09-23 11:02:08,440 - mmdet - INFO - Epoch [35][1100/7330] lr: 1.000e-06, eta: 1:42:33, time: 0.427, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0244, loss_cls: 0.1221, acc: 95.3552, loss_bbox: 0.1714, loss_mask: 0.1895, loss: 0.5222 +2022-09-23 11:02:30,759 - mmdet - INFO - Epoch [35][1150/7330] lr: 1.000e-06, eta: 1:42:10, time: 0.446, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0266, loss_cls: 0.1269, acc: 95.1914, loss_bbox: 0.1787, loss_mask: 0.1914, loss: 0.5390 +2022-09-23 11:02:52,286 - mmdet - INFO - Epoch [35][1200/7330] lr: 1.000e-06, eta: 1:41:48, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0242, loss_cls: 0.1258, acc: 95.2759, loss_bbox: 0.1712, loss_mask: 0.1889, loss: 0.5248 +2022-09-23 11:03:14,030 - mmdet - INFO - Epoch [35][1250/7330] lr: 1.000e-06, eta: 1:41:25, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0243, loss_cls: 0.1206, acc: 95.4331, loss_bbox: 0.1672, loss_mask: 0.1875, loss: 0.5134 +2022-09-23 11:03:36,185 - mmdet - INFO - Epoch [35][1300/7330] lr: 1.000e-06, eta: 1:41:02, time: 0.443, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0270, loss_cls: 0.1277, acc: 95.1657, loss_bbox: 0.1778, loss_mask: 0.1903, loss: 0.5379 +2022-09-23 11:03:58,188 - mmdet - INFO - Epoch [35][1350/7330] lr: 1.000e-06, eta: 1:40:39, time: 0.440, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0264, loss_cls: 0.1316, acc: 95.0332, loss_bbox: 0.1827, loss_mask: 0.1949, loss: 0.5505 +2022-09-23 11:04:19,936 - mmdet - INFO - Epoch [35][1400/7330] lr: 1.000e-06, eta: 1:40:17, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0270, loss_cls: 0.1257, acc: 95.2205, loss_bbox: 0.1727, loss_mask: 0.1915, loss: 0.5319 +2022-09-23 11:04:41,655 - mmdet - INFO - Epoch [35][1450/7330] lr: 1.000e-06, eta: 1:39:54, time: 0.434, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0265, loss_cls: 0.1269, acc: 95.1792, loss_bbox: 0.1767, loss_mask: 0.1894, loss: 0.5357 +2022-09-23 11:05:03,640 - mmdet - INFO - Epoch [35][1500/7330] lr: 1.000e-06, eta: 1:39:31, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0273, loss_cls: 0.1314, acc: 95.0869, loss_bbox: 0.1795, loss_mask: 0.1972, loss: 0.5506 +2022-09-23 11:05:25,491 - mmdet - INFO - Epoch [35][1550/7330] lr: 1.000e-06, eta: 1:39:08, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0246, loss_cls: 0.1215, acc: 95.5156, loss_bbox: 0.1641, loss_mask: 0.1826, loss: 0.5089 +2022-09-23 11:05:47,827 - mmdet - INFO - Epoch [35][1600/7330] lr: 1.000e-06, eta: 1:38:46, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0268, loss_cls: 0.1265, acc: 95.1990, loss_bbox: 0.1749, loss_mask: 0.1925, loss: 0.5342 +2022-09-23 11:06:09,891 - mmdet - INFO - Epoch [35][1650/7330] lr: 1.000e-06, eta: 1:38:23, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0288, loss_cls: 0.1338, acc: 94.9211, loss_bbox: 0.1833, loss_mask: 0.1961, loss: 0.5589 +2022-09-23 11:06:31,763 - mmdet - INFO - Epoch [35][1700/7330] lr: 1.000e-06, eta: 1:38:00, time: 0.436, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0269, loss_cls: 0.1349, acc: 94.9055, loss_bbox: 0.1798, loss_mask: 0.1949, loss: 0.5522 +2022-09-23 11:06:53,687 - mmdet - INFO - Epoch [35][1750/7330] lr: 1.000e-06, eta: 1:37:37, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0267, loss_cls: 0.1328, acc: 95.0062, loss_bbox: 0.1797, loss_mask: 0.1942, loss: 0.5491 +2022-09-23 11:07:15,775 - mmdet - INFO - Epoch [35][1800/7330] lr: 1.000e-06, eta: 1:37:15, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0278, loss_cls: 0.1331, acc: 94.9102, loss_bbox: 0.1866, loss_mask: 0.1976, loss: 0.5614 +2022-09-23 11:07:37,988 - mmdet - INFO - Epoch [35][1850/7330] lr: 1.000e-06, eta: 1:36:52, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0266, loss_cls: 0.1290, acc: 95.1101, loss_bbox: 0.1832, loss_mask: 0.1908, loss: 0.5460 +2022-09-23 11:08:00,150 - mmdet - INFO - Epoch [35][1900/7330] lr: 1.000e-06, eta: 1:36:29, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0269, loss_cls: 0.1341, acc: 94.9106, loss_bbox: 0.1877, loss_mask: 0.1962, loss: 0.5609 +2022-09-23 11:08:22,178 - mmdet - INFO - Epoch [35][1950/7330] lr: 1.000e-06, eta: 1:36:06, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0289, loss_cls: 0.1367, acc: 94.7888, loss_bbox: 0.1865, loss_mask: 0.1965, loss: 0.5653 +2022-09-23 11:08:43,811 - mmdet - INFO - Epoch [35][2000/7330] lr: 1.000e-06, eta: 1:35:44, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0283, loss_cls: 0.1305, acc: 95.0701, loss_bbox: 0.1802, loss_mask: 0.1926, loss: 0.5489 +2022-09-23 11:09:05,900 - mmdet - INFO - Epoch [35][2050/7330] lr: 1.000e-06, eta: 1:35:21, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0277, loss_cls: 0.1336, acc: 94.9822, loss_bbox: 0.1816, loss_mask: 0.1942, loss: 0.5533 +2022-09-23 11:09:28,070 - mmdet - INFO - Epoch [35][2100/7330] lr: 1.000e-06, eta: 1:34:58, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0277, loss_cls: 0.1333, acc: 94.9413, loss_bbox: 0.1820, loss_mask: 0.1934, loss: 0.5533 +2022-09-23 11:09:50,176 - mmdet - INFO - Epoch [35][2150/7330] lr: 1.000e-06, eta: 1:34:36, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0271, loss_cls: 0.1286, acc: 95.0740, loss_bbox: 0.1787, loss_mask: 0.1950, loss: 0.5450 +2022-09-23 11:10:12,642 - mmdet - INFO - Epoch [35][2200/7330] lr: 1.000e-06, eta: 1:34:13, time: 0.448, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0280, loss_cls: 0.1364, acc: 94.9133, loss_bbox: 0.1822, loss_mask: 0.1959, loss: 0.5601 +2022-09-23 11:10:34,511 - mmdet - INFO - Epoch [35][2250/7330] lr: 1.000e-06, eta: 1:33:50, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0260, loss_cls: 0.1260, acc: 95.2344, loss_bbox: 0.1750, loss_mask: 0.1881, loss: 0.5294 +2022-09-23 11:10:56,593 - mmdet - INFO - Epoch [35][2300/7330] lr: 1.000e-06, eta: 1:33:27, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0260, loss_cls: 0.1296, acc: 95.1035, loss_bbox: 0.1751, loss_mask: 0.1929, loss: 0.5399 +2022-09-23 11:11:18,766 - mmdet - INFO - Epoch [35][2350/7330] lr: 1.000e-06, eta: 1:33:05, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1291, acc: 95.1187, loss_bbox: 0.1800, loss_mask: 0.1919, loss: 0.5446 +2022-09-23 11:11:40,697 - mmdet - INFO - Epoch [35][2400/7330] lr: 1.000e-06, eta: 1:32:42, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0277, loss_cls: 0.1303, acc: 95.0608, loss_bbox: 0.1792, loss_mask: 0.1945, loss: 0.5483 +2022-09-23 11:12:02,301 - mmdet - INFO - Epoch [35][2450/7330] lr: 1.000e-06, eta: 1:32:19, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0270, loss_cls: 0.1307, acc: 95.0475, loss_bbox: 0.1776, loss_mask: 0.1888, loss: 0.5404 +2022-09-23 11:12:24,228 - mmdet - INFO - Epoch [35][2500/7330] lr: 1.000e-06, eta: 1:31:56, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0241, loss_cls: 0.1249, acc: 95.3227, loss_bbox: 0.1737, loss_mask: 0.1871, loss: 0.5229 +2022-09-23 11:12:46,106 - mmdet - INFO - Epoch [35][2550/7330] lr: 1.000e-06, eta: 1:31:34, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0251, loss_cls: 0.1266, acc: 95.1851, loss_bbox: 0.1779, loss_mask: 0.1910, loss: 0.5352 +2022-09-23 11:13:08,223 - mmdet - INFO - Epoch [35][2600/7330] lr: 1.000e-06, eta: 1:31:11, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0282, loss_cls: 0.1294, acc: 95.0342, loss_bbox: 0.1801, loss_mask: 0.1929, loss: 0.5461 +2022-09-23 11:13:29,893 - mmdet - INFO - Epoch [35][2650/7330] lr: 1.000e-06, eta: 1:30:48, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0256, loss_cls: 0.1284, acc: 95.1257, loss_bbox: 0.1763, loss_mask: 0.1884, loss: 0.5327 +2022-09-23 11:13:51,712 - mmdet - INFO - Epoch [35][2700/7330] lr: 1.000e-06, eta: 1:30:26, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0261, loss_cls: 0.1314, acc: 95.0242, loss_bbox: 0.1829, loss_mask: 0.1927, loss: 0.5491 +2022-09-23 11:14:13,350 - mmdet - INFO - Epoch [35][2750/7330] lr: 1.000e-06, eta: 1:30:03, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0260, loss_cls: 0.1260, acc: 95.2510, loss_bbox: 0.1769, loss_mask: 0.1903, loss: 0.5339 +2022-09-23 11:14:34,869 - mmdet - INFO - Epoch [35][2800/7330] lr: 1.000e-06, eta: 1:29:40, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0263, loss_cls: 0.1277, acc: 95.1558, loss_bbox: 0.1758, loss_mask: 0.1913, loss: 0.5371 +2022-09-23 11:14:56,376 - mmdet - INFO - Epoch [35][2850/7330] lr: 1.000e-06, eta: 1:29:17, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0256, loss_cls: 0.1234, acc: 95.2699, loss_bbox: 0.1752, loss_mask: 0.1886, loss: 0.5271 +2022-09-23 11:15:18,132 - mmdet - INFO - Epoch [35][2900/7330] lr: 1.000e-06, eta: 1:28:55, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0286, loss_cls: 0.1323, acc: 95.0781, loss_bbox: 0.1791, loss_mask: 0.1897, loss: 0.5465 +2022-09-23 11:15:40,312 - mmdet - INFO - Epoch [35][2950/7330] lr: 1.000e-06, eta: 1:28:32, time: 0.443, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0278, loss_cls: 0.1345, acc: 94.8547, loss_bbox: 0.1843, loss_mask: 0.1976, loss: 0.5608 +2022-09-23 11:16:01,852 - mmdet - INFO - Epoch [35][3000/7330] lr: 1.000e-06, eta: 1:28:09, time: 0.430, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0238, loss_cls: 0.1257, acc: 95.2533, loss_bbox: 0.1714, loss_mask: 0.1881, loss: 0.5231 +2022-09-23 11:16:23,462 - mmdet - INFO - Epoch [35][3050/7330] lr: 1.000e-06, eta: 1:27:46, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0268, loss_cls: 0.1284, acc: 95.1198, loss_bbox: 0.1750, loss_mask: 0.1889, loss: 0.5332 +2022-09-23 11:16:45,348 - mmdet - INFO - Epoch [35][3100/7330] lr: 1.000e-06, eta: 1:27:24, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0269, loss_cls: 0.1279, acc: 95.1843, loss_bbox: 0.1744, loss_mask: 0.1895, loss: 0.5349 +2022-09-23 11:17:07,208 - mmdet - INFO - Epoch [35][3150/7330] lr: 1.000e-06, eta: 1:27:01, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0264, loss_cls: 0.1307, acc: 95.0564, loss_bbox: 0.1781, loss_mask: 0.1979, loss: 0.5511 +2022-09-23 11:17:29,083 - mmdet - INFO - Epoch [35][3200/7330] lr: 1.000e-06, eta: 1:26:38, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0271, loss_cls: 0.1281, acc: 95.2166, loss_bbox: 0.1777, loss_mask: 0.1927, loss: 0.5428 +2022-09-23 11:17:50,352 - mmdet - INFO - Epoch [35][3250/7330] lr: 1.000e-06, eta: 1:26:15, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0252, loss_cls: 0.1214, acc: 95.3535, loss_bbox: 0.1715, loss_mask: 0.1880, loss: 0.5204 +2022-09-23 11:18:12,138 - mmdet - INFO - Epoch [35][3300/7330] lr: 1.000e-06, eta: 1:25:53, time: 0.436, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0274, loss_cls: 0.1332, acc: 94.9272, loss_bbox: 0.1827, loss_mask: 0.1957, loss: 0.5542 +2022-09-23 11:18:33,757 - mmdet - INFO - Epoch [35][3350/7330] lr: 1.000e-06, eta: 1:25:30, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0249, loss_cls: 0.1250, acc: 95.2910, loss_bbox: 0.1718, loss_mask: 0.1884, loss: 0.5255 +2022-09-23 11:18:55,544 - mmdet - INFO - Epoch [35][3400/7330] lr: 1.000e-06, eta: 1:25:07, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0251, loss_cls: 0.1268, acc: 95.1970, loss_bbox: 0.1736, loss_mask: 0.1914, loss: 0.5330 +2022-09-23 11:19:17,524 - mmdet - INFO - Epoch [35][3450/7330] lr: 1.000e-06, eta: 1:24:44, time: 0.440, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0260, loss_cls: 0.1343, acc: 95.0154, loss_bbox: 0.1802, loss_mask: 0.1929, loss: 0.5489 +2022-09-23 11:19:39,622 - mmdet - INFO - Epoch [35][3500/7330] lr: 1.000e-06, eta: 1:24:22, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0269, loss_cls: 0.1284, acc: 95.1130, loss_bbox: 0.1804, loss_mask: 0.1926, loss: 0.5445 +2022-09-23 11:20:01,512 - mmdet - INFO - Epoch [35][3550/7330] lr: 1.000e-06, eta: 1:23:59, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0269, loss_cls: 0.1331, acc: 95.0173, loss_bbox: 0.1816, loss_mask: 0.1952, loss: 0.5526 +2022-09-23 11:20:22,917 - mmdet - INFO - Epoch [35][3600/7330] lr: 1.000e-06, eta: 1:23:36, time: 0.428, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0271, loss_cls: 0.1328, acc: 94.9382, loss_bbox: 0.1819, loss_mask: 0.1956, loss: 0.5538 +2022-09-23 11:20:44,302 - mmdet - INFO - Epoch [35][3650/7330] lr: 1.000e-06, eta: 1:23:13, time: 0.428, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0268, loss_cls: 0.1289, acc: 95.1226, loss_bbox: 0.1766, loss_mask: 0.1940, loss: 0.5415 +2022-09-23 11:21:06,189 - mmdet - INFO - Epoch [35][3700/7330] lr: 1.000e-06, eta: 1:22:51, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0270, loss_cls: 0.1316, acc: 94.9539, loss_bbox: 0.1791, loss_mask: 0.1899, loss: 0.5431 +2022-09-23 11:21:27,767 - mmdet - INFO - Epoch [35][3750/7330] lr: 1.000e-06, eta: 1:22:28, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0278, loss_cls: 0.1355, acc: 94.9224, loss_bbox: 0.1826, loss_mask: 0.1952, loss: 0.5591 +2022-09-23 11:21:49,468 - mmdet - INFO - Epoch [35][3800/7330] lr: 1.000e-06, eta: 1:22:05, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0247, loss_cls: 0.1246, acc: 95.2129, loss_bbox: 0.1729, loss_mask: 0.1854, loss: 0.5221 +2022-09-23 11:22:11,375 - mmdet - INFO - Epoch [35][3850/7330] lr: 1.000e-06, eta: 1:21:43, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0254, loss_cls: 0.1225, acc: 95.3902, loss_bbox: 0.1710, loss_mask: 0.1908, loss: 0.5241 +2022-09-23 11:22:33,761 - mmdet - INFO - Epoch [35][3900/7330] lr: 1.000e-06, eta: 1:21:20, time: 0.448, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0279, loss_cls: 0.1302, acc: 95.0251, loss_bbox: 0.1821, loss_mask: 0.1963, loss: 0.5525 +2022-09-23 11:22:55,368 - mmdet - INFO - Epoch [35][3950/7330] lr: 1.000e-06, eta: 1:20:57, time: 0.432, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0256, loss_cls: 0.1263, acc: 95.1404, loss_bbox: 0.1722, loss_mask: 0.1871, loss: 0.5264 +2022-09-23 11:23:17,406 - mmdet - INFO - Epoch [35][4000/7330] lr: 1.000e-06, eta: 1:20:34, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0272, loss_cls: 0.1282, acc: 95.0886, loss_bbox: 0.1772, loss_mask: 0.1945, loss: 0.5423 +2022-09-23 11:23:39,636 - mmdet - INFO - Epoch [35][4050/7330] lr: 1.000e-06, eta: 1:20:12, time: 0.445, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0291, loss_cls: 0.1345, acc: 94.8948, loss_bbox: 0.1861, loss_mask: 0.2005, loss: 0.5665 +2022-09-23 11:24:01,784 - mmdet - INFO - Epoch [35][4100/7330] lr: 1.000e-06, eta: 1:19:49, time: 0.443, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0269, loss_cls: 0.1334, acc: 94.9470, loss_bbox: 0.1806, loss_mask: 0.1890, loss: 0.5466 +2022-09-23 11:24:23,672 - mmdet - INFO - Epoch [35][4150/7330] lr: 1.000e-06, eta: 1:19:26, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0279, loss_cls: 0.1308, acc: 94.9329, loss_bbox: 0.1809, loss_mask: 0.1941, loss: 0.5504 +2022-09-23 11:24:45,458 - mmdet - INFO - Epoch [35][4200/7330] lr: 1.000e-06, eta: 1:19:04, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0269, loss_cls: 0.1267, acc: 95.1626, loss_bbox: 0.1758, loss_mask: 0.1895, loss: 0.5352 +2022-09-23 11:25:07,739 - mmdet - INFO - Epoch [35][4250/7330] lr: 1.000e-06, eta: 1:18:41, time: 0.446, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0279, loss_cls: 0.1358, acc: 94.8962, loss_bbox: 0.1848, loss_mask: 0.1893, loss: 0.5543 +2022-09-23 11:25:29,742 - mmdet - INFO - Epoch [35][4300/7330] lr: 1.000e-06, eta: 1:18:18, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0284, loss_cls: 0.1354, acc: 94.9150, loss_bbox: 0.1860, loss_mask: 0.1951, loss: 0.5626 +2022-09-23 11:25:51,429 - mmdet - INFO - Epoch [35][4350/7330] lr: 1.000e-06, eta: 1:17:55, time: 0.434, data_time: 0.012, memory: 30693, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0235, loss_cls: 0.1213, acc: 95.4497, loss_bbox: 0.1705, loss_mask: 0.1879, loss: 0.5171 +2022-09-23 11:26:13,305 - mmdet - INFO - Epoch [35][4400/7330] lr: 1.000e-06, eta: 1:17:33, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0269, loss_cls: 0.1275, acc: 95.1201, loss_bbox: 0.1755, loss_mask: 0.1902, loss: 0.5362 +2022-09-23 11:26:35,112 - mmdet - INFO - Epoch [35][4450/7330] lr: 1.000e-06, eta: 1:17:10, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0263, loss_cls: 0.1284, acc: 95.1328, loss_bbox: 0.1791, loss_mask: 0.1897, loss: 0.5397 +2022-09-23 11:26:57,326 - mmdet - INFO - Epoch [35][4500/7330] lr: 1.000e-06, eta: 1:16:47, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0262, loss_cls: 0.1304, acc: 95.1239, loss_bbox: 0.1780, loss_mask: 0.1918, loss: 0.5423 +2022-09-23 11:27:18,772 - mmdet - INFO - Epoch [35][4550/7330] lr: 1.000e-06, eta: 1:16:25, time: 0.429, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0272, loss_cls: 0.1315, acc: 94.9575, loss_bbox: 0.1779, loss_mask: 0.1938, loss: 0.5471 +2022-09-23 11:27:41,045 - mmdet - INFO - Epoch [35][4600/7330] lr: 1.000e-06, eta: 1:16:02, time: 0.445, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0287, loss_cls: 0.1340, acc: 94.9336, loss_bbox: 0.1811, loss_mask: 0.1954, loss: 0.5559 +2022-09-23 11:28:03,122 - mmdet - INFO - Epoch [35][4650/7330] lr: 1.000e-06, eta: 1:15:39, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0249, loss_cls: 0.1230, acc: 95.3521, loss_bbox: 0.1713, loss_mask: 0.1893, loss: 0.5233 +2022-09-23 11:28:24,693 - mmdet - INFO - Epoch [35][4700/7330] lr: 1.000e-06, eta: 1:15:16, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0267, loss_cls: 0.1271, acc: 95.2156, loss_bbox: 0.1774, loss_mask: 0.1919, loss: 0.5403 +2022-09-23 11:28:46,718 - mmdet - INFO - Epoch [35][4750/7330] lr: 1.000e-06, eta: 1:14:54, time: 0.441, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0284, loss_cls: 0.1335, acc: 94.9763, loss_bbox: 0.1857, loss_mask: 0.1919, loss: 0.5570 +2022-09-23 11:29:08,554 - mmdet - INFO - Epoch [35][4800/7330] lr: 1.000e-06, eta: 1:14:31, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0263, loss_cls: 0.1288, acc: 95.0762, loss_bbox: 0.1850, loss_mask: 0.1943, loss: 0.5491 +2022-09-23 11:29:30,143 - mmdet - INFO - Epoch [35][4850/7330] lr: 1.000e-06, eta: 1:14:08, time: 0.432, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0241, loss_cls: 0.1149, acc: 95.6650, loss_bbox: 0.1647, loss_mask: 0.1872, loss: 0.5041 +2022-09-23 11:29:52,097 - mmdet - INFO - Epoch [35][4900/7330] lr: 1.000e-06, eta: 1:13:46, time: 0.439, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0265, loss_cls: 0.1259, acc: 95.1948, loss_bbox: 0.1766, loss_mask: 0.1971, loss: 0.5417 +2022-09-23 11:30:13,627 - mmdet - INFO - Epoch [35][4950/7330] lr: 1.000e-06, eta: 1:13:23, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0262, loss_cls: 0.1263, acc: 95.2637, loss_bbox: 0.1742, loss_mask: 0.1873, loss: 0.5290 +2022-09-23 11:30:35,587 - mmdet - INFO - Epoch [35][5000/7330] lr: 1.000e-06, eta: 1:13:00, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0282, loss_cls: 0.1387, acc: 94.8318, loss_bbox: 0.1898, loss_mask: 0.1986, loss: 0.5720 +2022-09-23 11:30:57,501 - mmdet - INFO - Epoch [35][5050/7330] lr: 1.000e-06, eta: 1:12:37, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0261, loss_cls: 0.1338, acc: 94.9568, loss_bbox: 0.1775, loss_mask: 0.1917, loss: 0.5474 +2022-09-23 11:31:19,590 - mmdet - INFO - Epoch [35][5100/7330] lr: 1.000e-06, eta: 1:12:15, time: 0.442, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0286, loss_cls: 0.1352, acc: 94.8647, loss_bbox: 0.1870, loss_mask: 0.1989, loss: 0.5664 +2022-09-23 11:31:41,640 - mmdet - INFO - Epoch [35][5150/7330] lr: 1.000e-06, eta: 1:11:52, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0270, loss_cls: 0.1283, acc: 95.1322, loss_bbox: 0.1809, loss_mask: 0.1884, loss: 0.5418 +2022-09-23 11:32:03,235 - mmdet - INFO - Epoch [35][5200/7330] lr: 1.000e-06, eta: 1:11:29, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0267, loss_cls: 0.1366, acc: 94.7917, loss_bbox: 0.1852, loss_mask: 0.1943, loss: 0.5602 +2022-09-23 11:32:24,955 - mmdet - INFO - Epoch [35][5250/7330] lr: 1.000e-06, eta: 1:11:07, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0280, loss_cls: 0.1348, acc: 94.9202, loss_bbox: 0.1880, loss_mask: 0.1971, loss: 0.5643 +2022-09-23 11:32:47,014 - mmdet - INFO - Epoch [35][5300/7330] lr: 1.000e-06, eta: 1:10:44, time: 0.441, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0293, loss_cls: 0.1343, acc: 94.9052, loss_bbox: 0.1850, loss_mask: 0.1961, loss: 0.5625 +2022-09-23 11:33:08,821 - mmdet - INFO - Epoch [35][5350/7330] lr: 1.000e-06, eta: 1:10:21, time: 0.436, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0269, loss_cls: 0.1351, acc: 94.8665, loss_bbox: 0.1831, loss_mask: 0.1901, loss: 0.5502 +2022-09-23 11:33:30,447 - mmdet - INFO - Epoch [35][5400/7330] lr: 1.000e-06, eta: 1:09:58, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0260, loss_cls: 0.1321, acc: 94.9719, loss_bbox: 0.1789, loss_mask: 0.1942, loss: 0.5486 +2022-09-23 11:33:52,218 - mmdet - INFO - Epoch [35][5450/7330] lr: 1.000e-06, eta: 1:09:36, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0265, loss_cls: 0.1250, acc: 95.2061, loss_bbox: 0.1713, loss_mask: 0.1886, loss: 0.5265 +2022-09-23 11:34:13,950 - mmdet - INFO - Epoch [35][5500/7330] lr: 1.000e-06, eta: 1:09:13, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0241, loss_cls: 0.1246, acc: 95.3411, loss_bbox: 0.1724, loss_mask: 0.1920, loss: 0.5279 +2022-09-23 11:34:35,588 - mmdet - INFO - Epoch [35][5550/7330] lr: 1.000e-06, eta: 1:08:50, time: 0.433, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0266, loss_cls: 0.1354, acc: 94.9062, loss_bbox: 0.1780, loss_mask: 0.1919, loss: 0.5491 +2022-09-23 11:34:57,424 - mmdet - INFO - Epoch [35][5600/7330] lr: 1.000e-06, eta: 1:08:28, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0289, loss_cls: 0.1387, acc: 94.7644, loss_bbox: 0.1841, loss_mask: 0.1943, loss: 0.5650 +2022-09-23 11:35:18,947 - mmdet - INFO - Epoch [35][5650/7330] lr: 1.000e-06, eta: 1:08:05, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0270, loss_cls: 0.1260, acc: 95.3850, loss_bbox: 0.1736, loss_mask: 0.1953, loss: 0.5379 +2022-09-23 11:35:40,595 - mmdet - INFO - Epoch [35][5700/7330] lr: 1.000e-06, eta: 1:07:42, time: 0.433, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0261, loss_cls: 0.1277, acc: 95.1763, loss_bbox: 0.1759, loss_mask: 0.1882, loss: 0.5335 +2022-09-23 11:36:02,351 - mmdet - INFO - Epoch [35][5750/7330] lr: 1.000e-06, eta: 1:07:19, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0274, loss_cls: 0.1342, acc: 94.9583, loss_bbox: 0.1838, loss_mask: 0.1962, loss: 0.5582 +2022-09-23 11:36:24,062 - mmdet - INFO - Epoch [35][5800/7330] lr: 1.000e-06, eta: 1:06:57, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0264, loss_cls: 0.1292, acc: 95.0435, loss_bbox: 0.1780, loss_mask: 0.1931, loss: 0.5424 +2022-09-23 11:36:45,939 - mmdet - INFO - Epoch [35][5850/7330] lr: 1.000e-06, eta: 1:06:34, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0266, loss_cls: 0.1281, acc: 95.1699, loss_bbox: 0.1795, loss_mask: 0.1894, loss: 0.5397 +2022-09-23 11:37:07,554 - mmdet - INFO - Epoch [35][5900/7330] lr: 1.000e-06, eta: 1:06:11, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0255, loss_cls: 0.1266, acc: 95.2504, loss_bbox: 0.1765, loss_mask: 0.1911, loss: 0.5363 +2022-09-23 11:37:29,423 - mmdet - INFO - Epoch [35][5950/7330] lr: 1.000e-06, eta: 1:05:49, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0268, loss_cls: 0.1293, acc: 95.1428, loss_bbox: 0.1764, loss_mask: 0.1908, loss: 0.5393 +2022-09-23 11:37:51,360 - mmdet - INFO - Epoch [35][6000/7330] lr: 1.000e-06, eta: 1:05:26, time: 0.439, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0263, loss_cls: 0.1266, acc: 95.1787, loss_bbox: 0.1737, loss_mask: 0.1953, loss: 0.5365 +2022-09-23 11:38:13,280 - mmdet - INFO - Epoch [35][6050/7330] lr: 1.000e-06, eta: 1:05:03, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0268, loss_cls: 0.1291, acc: 95.0962, loss_bbox: 0.1777, loss_mask: 0.1900, loss: 0.5406 +2022-09-23 11:38:35,123 - mmdet - INFO - Epoch [35][6100/7330] lr: 1.000e-06, eta: 1:04:40, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0245, loss_cls: 0.1270, acc: 95.1917, loss_bbox: 0.1783, loss_mask: 0.1953, loss: 0.5405 +2022-09-23 11:38:56,861 - mmdet - INFO - Epoch [35][6150/7330] lr: 1.000e-06, eta: 1:04:18, time: 0.435, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0277, loss_cls: 0.1296, acc: 95.0505, loss_bbox: 0.1799, loss_mask: 0.1940, loss: 0.5475 +2022-09-23 11:39:18,451 - mmdet - INFO - Epoch [35][6200/7330] lr: 1.000e-06, eta: 1:03:55, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0269, loss_cls: 0.1315, acc: 94.9899, loss_bbox: 0.1815, loss_mask: 0.1944, loss: 0.5500 +2022-09-23 11:39:40,837 - mmdet - INFO - Epoch [35][6250/7330] lr: 1.000e-06, eta: 1:03:32, time: 0.448, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0251, loss_cls: 0.1250, acc: 95.2434, loss_bbox: 0.1741, loss_mask: 0.1871, loss: 0.5264 +2022-09-23 11:40:02,924 - mmdet - INFO - Epoch [35][6300/7330] lr: 1.000e-06, eta: 1:03:10, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0264, loss_cls: 0.1263, acc: 95.3052, loss_bbox: 0.1781, loss_mask: 0.1919, loss: 0.5373 +2022-09-23 11:40:25,192 - mmdet - INFO - Epoch [35][6350/7330] lr: 1.000e-06, eta: 1:02:47, time: 0.445, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0280, loss_cls: 0.1357, acc: 94.9141, loss_bbox: 0.1861, loss_mask: 0.1967, loss: 0.5640 +2022-09-23 11:40:47,215 - mmdet - INFO - Epoch [35][6400/7330] lr: 1.000e-06, eta: 1:02:24, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0276, loss_cls: 0.1301, acc: 95.0962, loss_bbox: 0.1793, loss_mask: 0.1930, loss: 0.5461 +2022-09-23 11:41:08,893 - mmdet - INFO - Epoch [35][6450/7330] lr: 1.000e-06, eta: 1:02:02, time: 0.434, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0289, loss_cls: 0.1342, acc: 94.8706, loss_bbox: 0.1873, loss_mask: 0.1957, loss: 0.5614 +2022-09-23 11:41:30,424 - mmdet - INFO - Epoch [35][6500/7330] lr: 1.000e-06, eta: 1:01:39, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0273, loss_cls: 0.1273, acc: 95.1799, loss_bbox: 0.1748, loss_mask: 0.1909, loss: 0.5366 +2022-09-23 11:41:52,036 - mmdet - INFO - Epoch [35][6550/7330] lr: 1.000e-06, eta: 1:01:16, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0273, loss_cls: 0.1296, acc: 95.0930, loss_bbox: 0.1757, loss_mask: 0.1886, loss: 0.5370 +2022-09-23 11:42:14,729 - mmdet - INFO - Epoch [35][6600/7330] lr: 1.000e-06, eta: 1:00:53, time: 0.455, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0262, loss_cls: 0.1305, acc: 95.0437, loss_bbox: 0.1803, loss_mask: 0.1933, loss: 0.5460 +2022-09-23 11:42:36,267 - mmdet - INFO - Epoch [35][6650/7330] lr: 1.000e-06, eta: 1:00:31, time: 0.431, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0273, loss_cls: 0.1331, acc: 94.9265, loss_bbox: 0.1829, loss_mask: 0.1956, loss: 0.5543 +2022-09-23 11:42:58,177 - mmdet - INFO - Epoch [35][6700/7330] lr: 1.000e-06, eta: 1:00:08, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0259, loss_cls: 0.1390, acc: 94.7974, loss_bbox: 0.1862, loss_mask: 0.1944, loss: 0.5606 +2022-09-23 11:43:19,543 - mmdet - INFO - Epoch [35][6750/7330] lr: 1.000e-06, eta: 0:59:45, time: 0.426, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0261, loss_cls: 0.1306, acc: 95.1135, loss_bbox: 0.1760, loss_mask: 0.1946, loss: 0.5449 +2022-09-23 11:43:41,355 - mmdet - INFO - Epoch [35][6800/7330] lr: 1.000e-06, eta: 0:59:23, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0260, loss_cls: 0.1272, acc: 95.2063, loss_bbox: 0.1761, loss_mask: 0.1900, loss: 0.5340 +2022-09-23 11:44:03,276 - mmdet - INFO - Epoch [35][6850/7330] lr: 1.000e-06, eta: 0:59:00, time: 0.438, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0263, loss_cls: 0.1290, acc: 95.0930, loss_bbox: 0.1773, loss_mask: 0.1940, loss: 0.5420 +2022-09-23 11:44:24,778 - mmdet - INFO - Epoch [35][6900/7330] lr: 1.000e-06, eta: 0:58:37, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0248, loss_cls: 0.1281, acc: 95.1492, loss_bbox: 0.1785, loss_mask: 0.1886, loss: 0.5356 +2022-09-23 11:44:47,003 - mmdet - INFO - Epoch [35][6950/7330] lr: 1.000e-06, eta: 0:58:15, time: 0.444, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0273, loss_cls: 0.1246, acc: 95.1760, loss_bbox: 0.1764, loss_mask: 0.1897, loss: 0.5358 +2022-09-23 11:45:08,827 - mmdet - INFO - Epoch [35][7000/7330] lr: 1.000e-06, eta: 0:57:52, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0265, loss_cls: 0.1314, acc: 95.0386, loss_bbox: 0.1767, loss_mask: 0.1914, loss: 0.5409 +2022-09-23 11:45:30,291 - mmdet - INFO - Epoch [35][7050/7330] lr: 1.000e-06, eta: 0:57:29, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0258, loss_cls: 0.1256, acc: 95.2722, loss_bbox: 0.1731, loss_mask: 0.1939, loss: 0.5330 +2022-09-23 11:45:52,017 - mmdet - INFO - Epoch [35][7100/7330] lr: 1.000e-06, eta: 0:57:06, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0265, loss_cls: 0.1313, acc: 95.0469, loss_bbox: 0.1810, loss_mask: 0.1965, loss: 0.5517 +2022-09-23 11:46:14,287 - mmdet - INFO - Epoch [35][7150/7330] lr: 1.000e-06, eta: 0:56:44, time: 0.444, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0288, loss_cls: 0.1312, acc: 94.9941, loss_bbox: 0.1778, loss_mask: 0.1901, loss: 0.5455 +2022-09-23 11:46:36,252 - mmdet - INFO - Epoch [35][7200/7330] lr: 1.000e-06, eta: 0:56:21, time: 0.440, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0286, loss_cls: 0.1351, acc: 94.9126, loss_bbox: 0.1877, loss_mask: 0.1979, loss: 0.5662 +2022-09-23 11:46:58,092 - mmdet - INFO - Epoch [35][7250/7330] lr: 1.000e-06, eta: 0:55:58, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0267, loss_cls: 0.1239, acc: 95.3501, loss_bbox: 0.1753, loss_mask: 0.1908, loss: 0.5313 +2022-09-23 11:47:19,737 - mmdet - INFO - Epoch [35][7300/7330] lr: 1.000e-06, eta: 0:55:36, time: 0.433, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0263, loss_cls: 0.1283, acc: 95.1221, loss_bbox: 0.1751, loss_mask: 0.1940, loss: 0.5392 +2022-09-23 11:47:42,738 - mmdet - INFO - Saving checkpoint at 35 epochs +2022-09-23 11:50:02,437 - mmdet - INFO - Evaluating bbox... +2022-09-23 11:50:24,058 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.724 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.557 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.349 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.546 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.659 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.625 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.463 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.659 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.771 + +2022-09-23 11:50:24,059 - mmdet - INFO - Evaluating segm... +2022-09-23 11:50:48,634 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.453 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.696 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.489 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.263 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.483 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.642 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.561 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.394 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.718 + +2022-09-23 11:50:49,039 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 11:50:49,040 - mmdet - INFO - Epoch(val) [35][625] bbox_mAP: 0.5110, bbox_mAP_50: 0.7240, bbox_mAP_75: 0.5570, bbox_mAP_s: 0.3490, bbox_mAP_m: 0.5460, bbox_mAP_l: 0.6590, bbox_mAP_copypaste: 0.511 0.724 0.557 0.349 0.546 0.659, segm_mAP: 0.4530, segm_mAP_50: 0.6960, segm_mAP_75: 0.4890, segm_mAP_s: 0.2630, segm_mAP_m: 0.4830, segm_mAP_l: 0.6420, segm_mAP_copypaste: 0.453 0.696 0.489 0.263 0.483 0.642 +2022-09-23 11:53:32,458 - mmdet - INFO - Epoch [36][50/7330] lr: 1.000e-06, eta: 0:55:04, time: 3.267, data_time: 2.829, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0247, loss_cls: 0.1246, acc: 95.3457, loss_bbox: 0.1709, loss_mask: 0.1895, loss: 0.5270 +2022-09-23 11:53:54,547 - mmdet - INFO - Epoch [36][100/7330] lr: 1.000e-06, eta: 0:54:41, time: 0.443, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0278, loss_cls: 0.1300, acc: 95.0486, loss_bbox: 0.1794, loss_mask: 0.1949, loss: 0.5489 +2022-09-23 11:54:16,695 - mmdet - INFO - Epoch [36][150/7330] lr: 1.000e-06, eta: 0:54:19, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0283, loss_cls: 0.1339, acc: 94.9407, loss_bbox: 0.1862, loss_mask: 0.1932, loss: 0.5567 +2022-09-23 11:54:39,506 - mmdet - INFO - Epoch [36][200/7330] lr: 1.000e-06, eta: 0:53:56, time: 0.457, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0282, loss_cls: 0.1364, acc: 94.8440, loss_bbox: 0.1896, loss_mask: 0.2014, loss: 0.5717 +2022-09-23 11:55:02,192 - mmdet - INFO - Epoch [36][250/7330] lr: 1.000e-06, eta: 0:53:33, time: 0.453, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0265, loss_cls: 0.1240, acc: 95.3059, loss_bbox: 0.1747, loss_mask: 0.1922, loss: 0.5334 +2022-09-23 11:55:24,465 - mmdet - INFO - Epoch [36][300/7330] lr: 1.000e-06, eta: 0:53:11, time: 0.446, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0234, loss_cls: 0.1171, acc: 95.6155, loss_bbox: 0.1575, loss_mask: 0.1846, loss: 0.4971 +2022-09-23 11:55:46,779 - mmdet - INFO - Epoch [36][350/7330] lr: 1.000e-06, eta: 0:52:48, time: 0.447, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0260, loss_cls: 0.1281, acc: 95.1968, loss_bbox: 0.1763, loss_mask: 0.1944, loss: 0.5420 +2022-09-23 11:56:08,873 - mmdet - INFO - Epoch [36][400/7330] lr: 1.000e-06, eta: 0:52:25, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0264, loss_cls: 0.1263, acc: 95.2078, loss_bbox: 0.1792, loss_mask: 0.1948, loss: 0.5411 +2022-09-23 11:56:30,843 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 11:56:30,850 - mmdet - INFO - Epoch [36][450/7330] lr: 1.000e-06, eta: 0:52:02, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0255, loss_cls: 0.1305, acc: 95.1163, loss_bbox: 0.1772, loss_mask: 0.1946, loss: 0.5434 +2022-09-23 11:56:52,629 - mmdet - INFO - Epoch [36][500/7330] lr: 1.000e-06, eta: 0:51:40, time: 0.436, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0247, loss_cls: 0.1241, acc: 95.2905, loss_bbox: 0.1706, loss_mask: 0.1886, loss: 0.5243 +2022-09-23 11:57:14,134 - mmdet - INFO - Epoch [36][550/7330] lr: 1.000e-06, eta: 0:51:17, time: 0.430, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0270, loss_cls: 0.1271, acc: 95.2329, loss_bbox: 0.1745, loss_mask: 0.1893, loss: 0.5325 +2022-09-23 11:57:36,005 - mmdet - INFO - Epoch [36][600/7330] lr: 1.000e-06, eta: 0:50:54, time: 0.437, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0277, loss_cls: 0.1331, acc: 94.8857, loss_bbox: 0.1821, loss_mask: 0.1979, loss: 0.5570 +2022-09-23 11:57:57,951 - mmdet - INFO - Epoch [36][650/7330] lr: 1.000e-06, eta: 0:50:31, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0266, loss_cls: 0.1276, acc: 95.2856, loss_bbox: 0.1744, loss_mask: 0.1905, loss: 0.5334 +2022-09-23 11:58:19,930 - mmdet - INFO - Epoch [36][700/7330] lr: 1.000e-06, eta: 0:50:09, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0271, loss_cls: 0.1362, acc: 94.8499, loss_bbox: 0.1875, loss_mask: 0.1956, loss: 0.5637 +2022-09-23 11:58:41,459 - mmdet - INFO - Epoch [36][750/7330] lr: 1.000e-06, eta: 0:49:46, time: 0.431, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0273, loss_cls: 0.1313, acc: 95.0635, loss_bbox: 0.1838, loss_mask: 0.1895, loss: 0.5476 +2022-09-23 11:59:02,831 - mmdet - INFO - Epoch [36][800/7330] lr: 1.000e-06, eta: 0:49:23, time: 0.427, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0261, loss_cls: 0.1333, acc: 94.9570, loss_bbox: 0.1841, loss_mask: 0.1956, loss: 0.5551 +2022-09-23 11:59:24,549 - mmdet - INFO - Epoch [36][850/7330] lr: 1.000e-06, eta: 0:49:01, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0256, loss_cls: 0.1301, acc: 95.1182, loss_bbox: 0.1752, loss_mask: 0.1928, loss: 0.5391 +2022-09-23 11:59:46,657 - mmdet - INFO - Epoch [36][900/7330] lr: 1.000e-06, eta: 0:48:38, time: 0.442, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0264, loss_cls: 0.1266, acc: 95.2686, loss_bbox: 0.1755, loss_mask: 0.1943, loss: 0.5388 +2022-09-23 12:00:12,544 - mmdet - INFO - Epoch [36][950/7330] lr: 1.000e-06, eta: 0:48:15, time: 0.517, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0276, loss_cls: 0.1316, acc: 95.0334, loss_bbox: 0.1801, loss_mask: 0.1918, loss: 0.5465 +2022-09-23 12:00:34,406 - mmdet - INFO - Epoch [36][1000/7330] lr: 1.000e-06, eta: 0:47:53, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0294, loss_cls: 0.1353, acc: 94.9329, loss_bbox: 0.1854, loss_mask: 0.1972, loss: 0.5654 +2022-09-23 12:00:56,100 - mmdet - INFO - Epoch [36][1050/7330] lr: 1.000e-06, eta: 0:47:30, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0260, loss_cls: 0.1279, acc: 95.0667, loss_bbox: 0.1789, loss_mask: 0.1929, loss: 0.5395 +2022-09-23 12:01:17,944 - mmdet - INFO - Epoch [36][1100/7330] lr: 1.000e-06, eta: 0:47:07, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0275, loss_cls: 0.1331, acc: 94.9561, loss_bbox: 0.1845, loss_mask: 0.1930, loss: 0.5551 +2022-09-23 12:01:40,021 - mmdet - INFO - Epoch [36][1150/7330] lr: 1.000e-06, eta: 0:46:44, time: 0.441, data_time: 0.026, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0263, loss_cls: 0.1291, acc: 95.0857, loss_bbox: 0.1720, loss_mask: 0.1896, loss: 0.5333 +2022-09-23 12:02:01,945 - mmdet - INFO - Epoch [36][1200/7330] lr: 1.000e-06, eta: 0:46:22, time: 0.438, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0267, loss_cls: 0.1341, acc: 94.8918, loss_bbox: 0.1829, loss_mask: 0.1976, loss: 0.5564 +2022-09-23 12:02:23,845 - mmdet - INFO - Epoch [36][1250/7330] lr: 1.000e-06, eta: 0:45:59, time: 0.438, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0271, loss_cls: 0.1320, acc: 94.9485, loss_bbox: 0.1808, loss_mask: 0.1970, loss: 0.5536 +2022-09-23 12:02:46,154 - mmdet - INFO - Epoch [36][1300/7330] lr: 1.000e-06, eta: 0:45:36, time: 0.446, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0266, loss_cls: 0.1289, acc: 95.1479, loss_bbox: 0.1769, loss_mask: 0.1911, loss: 0.5394 +2022-09-23 12:03:08,241 - mmdet - INFO - Epoch [36][1350/7330] lr: 1.000e-06, eta: 0:45:14, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0259, loss_cls: 0.1280, acc: 95.1145, loss_bbox: 0.1769, loss_mask: 0.1942, loss: 0.5396 +2022-09-23 12:03:30,259 - mmdet - INFO - Epoch [36][1400/7330] lr: 1.000e-06, eta: 0:44:51, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0261, loss_cls: 0.1269, acc: 95.2139, loss_bbox: 0.1776, loss_mask: 0.1903, loss: 0.5352 +2022-09-23 12:03:51,904 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 12:03:51,904 - mmdet - INFO - Epoch [36][1450/7330] lr: 1.000e-06, eta: 0:44:28, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0249, loss_cls: 0.1253, acc: 95.2224, loss_bbox: 0.1722, loss_mask: 0.1897, loss: 0.5283 +2022-09-23 12:04:13,676 - mmdet - INFO - Epoch [36][1500/7330] lr: 1.000e-06, eta: 0:44:05, time: 0.436, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0254, loss_cls: 0.1205, acc: 95.3816, loss_bbox: 0.1715, loss_mask: 0.1909, loss: 0.5231 +2022-09-23 12:04:35,744 - mmdet - INFO - Epoch [36][1550/7330] lr: 1.000e-06, eta: 0:43:43, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0257, loss_cls: 0.1220, acc: 95.3727, loss_bbox: 0.1717, loss_mask: 0.1910, loss: 0.5246 +2022-09-23 12:04:57,393 - mmdet - INFO - Epoch [36][1600/7330] lr: 1.000e-06, eta: 0:43:20, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0259, loss_cls: 0.1267, acc: 95.1458, loss_bbox: 0.1762, loss_mask: 0.1915, loss: 0.5365 +2022-09-23 12:05:18,998 - mmdet - INFO - Epoch [36][1650/7330] lr: 1.000e-06, eta: 0:42:57, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0300, loss_cls: 0.1392, acc: 94.7368, loss_bbox: 0.1895, loss_mask: 0.1984, loss: 0.5748 +2022-09-23 12:05:40,597 - mmdet - INFO - Epoch [36][1700/7330] lr: 1.000e-06, eta: 0:42:34, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0261, loss_cls: 0.1312, acc: 95.0217, loss_bbox: 0.1798, loss_mask: 0.1938, loss: 0.5479 +2022-09-23 12:06:02,749 - mmdet - INFO - Epoch [36][1750/7330] lr: 1.000e-06, eta: 0:42:12, time: 0.443, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0274, loss_cls: 0.1290, acc: 95.0507, loss_bbox: 0.1773, loss_mask: 0.1879, loss: 0.5382 +2022-09-23 12:06:24,961 - mmdet - INFO - Epoch [36][1800/7330] lr: 1.000e-06, eta: 0:41:49, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0259, loss_cls: 0.1296, acc: 95.0581, loss_bbox: 0.1766, loss_mask: 0.1925, loss: 0.5410 +2022-09-23 12:06:46,682 - mmdet - INFO - Epoch [36][1850/7330] lr: 1.000e-06, eta: 0:41:26, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0264, loss_cls: 0.1280, acc: 95.1350, loss_bbox: 0.1732, loss_mask: 0.1913, loss: 0.5341 +2022-09-23 12:07:08,646 - mmdet - INFO - Epoch [36][1900/7330] lr: 1.000e-06, eta: 0:41:04, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0261, loss_cls: 0.1179, acc: 95.4568, loss_bbox: 0.1696, loss_mask: 0.1909, loss: 0.5184 +2022-09-23 12:07:30,368 - mmdet - INFO - Epoch [36][1950/7330] lr: 1.000e-06, eta: 0:40:41, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0277, loss_cls: 0.1297, acc: 95.0916, loss_bbox: 0.1822, loss_mask: 0.1936, loss: 0.5477 +2022-09-23 12:07:52,014 - mmdet - INFO - Epoch [36][2000/7330] lr: 1.000e-06, eta: 0:40:18, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0259, loss_cls: 0.1241, acc: 95.3418, loss_bbox: 0.1706, loss_mask: 0.1902, loss: 0.5268 +2022-09-23 12:08:14,089 - mmdet - INFO - Epoch [36][2050/7330] lr: 1.000e-06, eta: 0:39:56, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0271, loss_cls: 0.1287, acc: 95.1060, loss_bbox: 0.1765, loss_mask: 0.1916, loss: 0.5416 +2022-09-23 12:08:36,264 - mmdet - INFO - Epoch [36][2100/7330] lr: 1.000e-06, eta: 0:39:33, time: 0.444, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0284, loss_cls: 0.1373, acc: 94.8843, loss_bbox: 0.1848, loss_mask: 0.1957, loss: 0.5637 +2022-09-23 12:08:58,477 - mmdet - INFO - Epoch [36][2150/7330] lr: 1.000e-06, eta: 0:39:10, time: 0.444, data_time: 0.025, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0255, loss_cls: 0.1273, acc: 95.1921, loss_bbox: 0.1774, loss_mask: 0.1903, loss: 0.5349 +2022-09-23 12:09:20,424 - mmdet - INFO - Epoch [36][2200/7330] lr: 1.000e-06, eta: 0:38:47, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0250, loss_cls: 0.1236, acc: 95.3020, loss_bbox: 0.1732, loss_mask: 0.1882, loss: 0.5237 +2022-09-23 12:09:42,344 - mmdet - INFO - Epoch [36][2250/7330] lr: 1.000e-06, eta: 0:38:25, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0274, loss_cls: 0.1295, acc: 95.1639, loss_bbox: 0.1779, loss_mask: 0.1929, loss: 0.5432 +2022-09-23 12:10:04,250 - mmdet - INFO - Epoch [36][2300/7330] lr: 1.000e-06, eta: 0:38:02, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0246, loss_cls: 0.1281, acc: 95.2290, loss_bbox: 0.1767, loss_mask: 0.1942, loss: 0.5386 +2022-09-23 12:10:25,773 - mmdet - INFO - Epoch [36][2350/7330] lr: 1.000e-06, eta: 0:37:39, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0251, loss_cls: 0.1218, acc: 95.4028, loss_bbox: 0.1662, loss_mask: 0.1891, loss: 0.5167 +2022-09-23 12:10:47,650 - mmdet - INFO - Epoch [36][2400/7330] lr: 1.000e-06, eta: 0:37:17, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0269, loss_cls: 0.1322, acc: 94.9973, loss_bbox: 0.1815, loss_mask: 0.1943, loss: 0.5524 +2022-09-23 12:11:08,973 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 12:11:08,976 - mmdet - INFO - Epoch [36][2450/7330] lr: 1.000e-06, eta: 0:36:54, time: 0.427, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0264, loss_cls: 0.1324, acc: 95.0461, loss_bbox: 0.1842, loss_mask: 0.1919, loss: 0.5518 +2022-09-23 12:11:30,457 - mmdet - INFO - Epoch [36][2500/7330] lr: 1.000e-06, eta: 0:36:31, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0235, loss_cls: 0.1226, acc: 95.3906, loss_bbox: 0.1669, loss_mask: 0.1915, loss: 0.5182 +2022-09-23 12:11:52,323 - mmdet - INFO - Epoch [36][2550/7330] lr: 1.000e-06, eta: 0:36:08, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0295, loss_cls: 0.1355, acc: 94.9280, loss_bbox: 0.1861, loss_mask: 0.2008, loss: 0.5684 +2022-09-23 12:12:14,210 - mmdet - INFO - Epoch [36][2600/7330] lr: 1.000e-06, eta: 0:35:46, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0273, loss_cls: 0.1338, acc: 94.9243, loss_bbox: 0.1852, loss_mask: 0.1921, loss: 0.5543 +2022-09-23 12:12:35,793 - mmdet - INFO - Epoch [36][2650/7330] lr: 1.000e-06, eta: 0:35:23, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0257, loss_cls: 0.1269, acc: 95.2275, loss_bbox: 0.1692, loss_mask: 0.1930, loss: 0.5315 +2022-09-23 12:12:57,867 - mmdet - INFO - Epoch [36][2700/7330] lr: 1.000e-06, eta: 0:35:00, time: 0.441, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0285, loss_cls: 0.1359, acc: 94.8601, loss_bbox: 0.1844, loss_mask: 0.1934, loss: 0.5584 +2022-09-23 12:13:20,085 - mmdet - INFO - Epoch [36][2750/7330] lr: 1.000e-06, eta: 0:34:38, time: 0.444, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0274, loss_cls: 0.1338, acc: 94.9639, loss_bbox: 0.1843, loss_mask: 0.1905, loss: 0.5517 +2022-09-23 12:13:41,523 - mmdet - INFO - Epoch [36][2800/7330] lr: 1.000e-06, eta: 0:34:15, time: 0.430, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0275, loss_cls: 0.1300, acc: 95.0439, loss_bbox: 0.1764, loss_mask: 0.1900, loss: 0.5401 +2022-09-23 12:14:03,734 - mmdet - INFO - Epoch [36][2850/7330] lr: 1.000e-06, eta: 0:33:52, time: 0.444, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0276, loss_cls: 0.1324, acc: 94.9680, loss_bbox: 0.1859, loss_mask: 0.1936, loss: 0.5576 +2022-09-23 12:14:25,229 - mmdet - INFO - Epoch [36][2900/7330] lr: 1.000e-06, eta: 0:33:29, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0260, loss_cls: 0.1244, acc: 95.3628, loss_bbox: 0.1724, loss_mask: 0.1893, loss: 0.5282 +2022-09-23 12:14:46,957 - mmdet - INFO - Epoch [36][2950/7330] lr: 1.000e-06, eta: 0:33:07, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0282, loss_cls: 0.1317, acc: 94.9912, loss_bbox: 0.1805, loss_mask: 0.1967, loss: 0.5544 +2022-09-23 12:15:08,811 - mmdet - INFO - Epoch [36][3000/7330] lr: 1.000e-06, eta: 0:32:44, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0270, loss_cls: 0.1344, acc: 95.0181, loss_bbox: 0.1805, loss_mask: 0.1946, loss: 0.5519 +2022-09-23 12:15:30,790 - mmdet - INFO - Epoch [36][3050/7330] lr: 1.000e-06, eta: 0:32:21, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0272, loss_cls: 0.1258, acc: 95.2705, loss_bbox: 0.1788, loss_mask: 0.1930, loss: 0.5418 +2022-09-23 12:15:52,798 - mmdet - INFO - Epoch [36][3100/7330] lr: 1.000e-06, eta: 0:31:59, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0127, loss_rpn_bbox: 0.0234, loss_cls: 0.1203, acc: 95.4182, loss_bbox: 0.1726, loss_mask: 0.1895, loss: 0.5185 +2022-09-23 12:16:14,603 - mmdet - INFO - Epoch [36][3150/7330] lr: 1.000e-06, eta: 0:31:36, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0285, loss_cls: 0.1334, acc: 94.9429, loss_bbox: 0.1844, loss_mask: 0.1938, loss: 0.5575 +2022-09-23 12:16:36,249 - mmdet - INFO - Epoch [36][3200/7330] lr: 1.000e-06, eta: 0:31:13, time: 0.433, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0251, loss_cls: 0.1198, acc: 95.4509, loss_bbox: 0.1687, loss_mask: 0.1842, loss: 0.5113 +2022-09-23 12:16:58,006 - mmdet - INFO - Epoch [36][3250/7330] lr: 1.000e-06, eta: 0:30:51, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0259, loss_cls: 0.1300, acc: 95.1206, loss_bbox: 0.1804, loss_mask: 0.1911, loss: 0.5432 +2022-09-23 12:17:19,589 - mmdet - INFO - Epoch [36][3300/7330] lr: 1.000e-06, eta: 0:30:28, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0237, loss_cls: 0.1217, acc: 95.4495, loss_bbox: 0.1650, loss_mask: 0.1883, loss: 0.5131 +2022-09-23 12:17:41,145 - mmdet - INFO - Epoch [36][3350/7330] lr: 1.000e-06, eta: 0:30:05, time: 0.431, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0267, loss_cls: 0.1305, acc: 95.0447, loss_bbox: 0.1781, loss_mask: 0.1927, loss: 0.5448 +2022-09-23 12:18:02,635 - mmdet - INFO - Epoch [36][3400/7330] lr: 1.000e-06, eta: 0:29:42, time: 0.430, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0269, loss_cls: 0.1282, acc: 95.1941, loss_bbox: 0.1762, loss_mask: 0.1923, loss: 0.5395 +2022-09-23 12:18:24,316 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 12:18:24,316 - mmdet - INFO - Epoch [36][3450/7330] lr: 1.000e-06, eta: 0:29:20, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0287, loss_cls: 0.1283, acc: 95.1833, loss_bbox: 0.1805, loss_mask: 0.1955, loss: 0.5477 +2022-09-23 12:18:46,045 - mmdet - INFO - Epoch [36][3500/7330] lr: 1.000e-06, eta: 0:28:57, time: 0.435, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0260, loss_cls: 0.1285, acc: 95.1799, loss_bbox: 0.1770, loss_mask: 0.1954, loss: 0.5431 +2022-09-23 12:19:07,834 - mmdet - INFO - Epoch [36][3550/7330] lr: 1.000e-06, eta: 0:28:34, time: 0.436, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0282, loss_cls: 0.1381, acc: 94.8827, loss_bbox: 0.1825, loss_mask: 0.1968, loss: 0.5626 +2022-09-23 12:19:29,432 - mmdet - INFO - Epoch [36][3600/7330] lr: 1.000e-06, eta: 0:28:12, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0263, loss_cls: 0.1260, acc: 95.2051, loss_bbox: 0.1752, loss_mask: 0.1899, loss: 0.5326 +2022-09-23 12:19:51,276 - mmdet - INFO - Epoch [36][3650/7330] lr: 1.000e-06, eta: 0:27:49, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0277, loss_cls: 0.1311, acc: 94.9751, loss_bbox: 0.1826, loss_mask: 0.1940, loss: 0.5518 +2022-09-23 12:20:13,032 - mmdet - INFO - Epoch [36][3700/7330] lr: 1.000e-06, eta: 0:27:26, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0264, loss_cls: 0.1263, acc: 95.1733, loss_bbox: 0.1802, loss_mask: 0.1898, loss: 0.5366 +2022-09-23 12:20:34,727 - mmdet - INFO - Epoch [36][3750/7330] lr: 1.000e-06, eta: 0:27:04, time: 0.434, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0267, loss_cls: 0.1302, acc: 95.0640, loss_bbox: 0.1753, loss_mask: 0.1910, loss: 0.5402 +2022-09-23 12:20:56,826 - mmdet - INFO - Epoch [36][3800/7330] lr: 1.000e-06, eta: 0:26:41, time: 0.442, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0271, loss_cls: 0.1317, acc: 94.9802, loss_bbox: 0.1827, loss_mask: 0.1959, loss: 0.5523 +2022-09-23 12:21:18,276 - mmdet - INFO - Epoch [36][3850/7330] lr: 1.000e-06, eta: 0:26:18, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0240, loss_cls: 0.1253, acc: 95.2993, loss_bbox: 0.1692, loss_mask: 0.1870, loss: 0.5197 +2022-09-23 12:21:39,711 - mmdet - INFO - Epoch [36][3900/7330] lr: 1.000e-06, eta: 0:25:55, time: 0.429, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0255, loss_cls: 0.1266, acc: 95.2325, loss_bbox: 0.1759, loss_mask: 0.1901, loss: 0.5333 +2022-09-23 12:22:01,313 - mmdet - INFO - Epoch [36][3950/7330] lr: 1.000e-06, eta: 0:25:33, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0266, loss_cls: 0.1249, acc: 95.2671, loss_bbox: 0.1718, loss_mask: 0.1915, loss: 0.5310 +2022-09-23 12:22:23,208 - mmdet - INFO - Epoch [36][4000/7330] lr: 1.000e-06, eta: 0:25:10, time: 0.438, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0282, loss_cls: 0.1346, acc: 94.8386, loss_bbox: 0.1872, loss_mask: 0.2037, loss: 0.5701 +2022-09-23 12:22:44,844 - mmdet - INFO - Epoch [36][4050/7330] lr: 1.000e-06, eta: 0:24:47, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0261, loss_cls: 0.1278, acc: 95.2156, loss_bbox: 0.1761, loss_mask: 0.1925, loss: 0.5383 +2022-09-23 12:23:06,611 - mmdet - INFO - Epoch [36][4100/7330] lr: 1.000e-06, eta: 0:24:25, time: 0.437, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0269, loss_cls: 0.1349, acc: 94.8818, loss_bbox: 0.1792, loss_mask: 0.1952, loss: 0.5525 +2022-09-23 12:23:28,486 - mmdet - INFO - Epoch [36][4150/7330] lr: 1.000e-06, eta: 0:24:02, time: 0.438, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0286, loss_cls: 0.1316, acc: 94.9792, loss_bbox: 0.1829, loss_mask: 0.1966, loss: 0.5565 +2022-09-23 12:23:50,649 - mmdet - INFO - Epoch [36][4200/7330] lr: 1.000e-06, eta: 0:23:39, time: 0.443, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0284, loss_cls: 0.1340, acc: 94.9448, loss_bbox: 0.1847, loss_mask: 0.1943, loss: 0.5582 +2022-09-23 12:24:12,274 - mmdet - INFO - Epoch [36][4250/7330] lr: 1.000e-06, eta: 0:23:17, time: 0.433, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0269, loss_cls: 0.1339, acc: 95.0305, loss_bbox: 0.1833, loss_mask: 0.1929, loss: 0.5542 +2022-09-23 12:24:33,976 - mmdet - INFO - Epoch [36][4300/7330] lr: 1.000e-06, eta: 0:22:54, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0266, loss_cls: 0.1323, acc: 95.1183, loss_bbox: 0.1792, loss_mask: 0.1885, loss: 0.5423 +2022-09-23 12:24:55,701 - mmdet - INFO - Epoch [36][4350/7330] lr: 1.000e-06, eta: 0:22:31, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0135, loss_rpn_bbox: 0.0248, loss_cls: 0.1237, acc: 95.2632, loss_bbox: 0.1700, loss_mask: 0.1895, loss: 0.5214 +2022-09-23 12:25:17,618 - mmdet - INFO - Epoch [36][4400/7330] lr: 1.000e-06, eta: 0:22:08, time: 0.438, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0269, loss_cls: 0.1323, acc: 94.9954, loss_bbox: 0.1798, loss_mask: 0.1904, loss: 0.5460 +2022-09-23 12:25:39,139 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 12:25:39,142 - mmdet - INFO - Epoch [36][4450/7330] lr: 1.000e-06, eta: 0:21:46, time: 0.430, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0289, loss_cls: 0.1336, acc: 94.9663, loss_bbox: 0.1812, loss_mask: 0.1917, loss: 0.5515 +2022-09-23 12:26:00,829 - mmdet - INFO - Epoch [36][4500/7330] lr: 1.000e-06, eta: 0:21:23, time: 0.434, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0273, loss_cls: 0.1248, acc: 95.2673, loss_bbox: 0.1760, loss_mask: 0.1919, loss: 0.5349 +2022-09-23 12:26:22,438 - mmdet - INFO - Epoch [36][4550/7330] lr: 1.000e-06, eta: 0:21:00, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0285, loss_cls: 0.1296, acc: 95.0874, loss_bbox: 0.1804, loss_mask: 0.1922, loss: 0.5468 +2022-09-23 12:26:44,303 - mmdet - INFO - Epoch [36][4600/7330] lr: 1.000e-06, eta: 0:20:38, time: 0.437, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0271, loss_cls: 0.1304, acc: 95.1118, loss_bbox: 0.1779, loss_mask: 0.1918, loss: 0.5429 +2022-09-23 12:27:06,290 - mmdet - INFO - Epoch [36][4650/7330] lr: 1.000e-06, eta: 0:20:15, time: 0.439, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0277, loss_cls: 0.1323, acc: 94.9980, loss_bbox: 0.1849, loss_mask: 0.1986, loss: 0.5605 +2022-09-23 12:27:27,863 - mmdet - INFO - Epoch [36][4700/7330] lr: 1.000e-06, eta: 0:19:52, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1341, acc: 94.8923, loss_bbox: 0.1861, loss_mask: 0.1958, loss: 0.5620 +2022-09-23 12:27:49,224 - mmdet - INFO - Epoch [36][4750/7330] lr: 1.000e-06, eta: 0:19:30, time: 0.427, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0272, loss_cls: 0.1307, acc: 95.1248, loss_bbox: 0.1814, loss_mask: 0.1923, loss: 0.5481 +2022-09-23 12:28:11,088 - mmdet - INFO - Epoch [36][4800/7330] lr: 1.000e-06, eta: 0:19:07, time: 0.437, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0275, loss_cls: 0.1278, acc: 95.1479, loss_bbox: 0.1784, loss_mask: 0.1900, loss: 0.5403 +2022-09-23 12:28:32,816 - mmdet - INFO - Epoch [36][4850/7330] lr: 1.000e-06, eta: 0:18:44, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0262, loss_cls: 0.1289, acc: 95.0300, loss_bbox: 0.1791, loss_mask: 0.1894, loss: 0.5383 +2022-09-23 12:28:54,267 - mmdet - INFO - Epoch [36][4900/7330] lr: 1.000e-06, eta: 0:18:22, time: 0.429, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0132, loss_rpn_bbox: 0.0253, loss_cls: 0.1227, acc: 95.4111, loss_bbox: 0.1680, loss_mask: 0.1858, loss: 0.5150 +2022-09-23 12:29:15,551 - mmdet - INFO - Epoch [36][4950/7330] lr: 1.000e-06, eta: 0:17:59, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0258, loss_cls: 0.1234, acc: 95.3108, loss_bbox: 0.1756, loss_mask: 0.1916, loss: 0.5316 +2022-09-23 12:29:37,378 - mmdet - INFO - Epoch [36][5000/7330] lr: 1.000e-06, eta: 0:17:36, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0261, loss_cls: 0.1307, acc: 95.1311, loss_bbox: 0.1766, loss_mask: 0.1918, loss: 0.5409 +2022-09-23 12:29:59,208 - mmdet - INFO - Epoch [36][5050/7330] lr: 1.000e-06, eta: 0:17:14, time: 0.437, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0267, loss_cls: 0.1275, acc: 95.1694, loss_bbox: 0.1730, loss_mask: 0.1904, loss: 0.5332 +2022-09-23 12:30:21,042 - mmdet - INFO - Epoch [36][5100/7330] lr: 1.000e-06, eta: 0:16:51, time: 0.437, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0252, loss_cls: 0.1277, acc: 95.1414, loss_bbox: 0.1770, loss_mask: 0.1873, loss: 0.5316 +2022-09-23 12:30:42,763 - mmdet - INFO - Epoch [36][5150/7330] lr: 1.000e-06, eta: 0:16:28, time: 0.434, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0266, loss_cls: 0.1280, acc: 95.1792, loss_bbox: 0.1766, loss_mask: 0.1932, loss: 0.5410 +2022-09-23 12:31:04,274 - mmdet - INFO - Epoch [36][5200/7330] lr: 1.000e-06, eta: 0:16:05, time: 0.431, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0253, loss_cls: 0.1265, acc: 95.1892, loss_bbox: 0.1720, loss_mask: 0.1871, loss: 0.5251 +2022-09-23 12:31:26,033 - mmdet - INFO - Epoch [36][5250/7330] lr: 1.000e-06, eta: 0:15:43, time: 0.435, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0280, loss_cls: 0.1323, acc: 95.0288, loss_bbox: 0.1816, loss_mask: 0.1938, loss: 0.5533 +2022-09-23 12:31:47,969 - mmdet - INFO - Epoch [36][5300/7330] lr: 1.000e-06, eta: 0:15:20, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0259, loss_cls: 0.1281, acc: 95.1299, loss_bbox: 0.1803, loss_mask: 0.1959, loss: 0.5459 +2022-09-23 12:32:10,309 - mmdet - INFO - Epoch [36][5350/7330] lr: 1.000e-06, eta: 0:14:57, time: 0.447, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0247, loss_cls: 0.1271, acc: 95.1948, loss_bbox: 0.1755, loss_mask: 0.1931, loss: 0.5351 +2022-09-23 12:32:32,262 - mmdet - INFO - Epoch [36][5400/7330] lr: 1.000e-06, eta: 0:14:35, time: 0.439, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0255, loss_cls: 0.1295, acc: 95.0930, loss_bbox: 0.1753, loss_mask: 0.1921, loss: 0.5366 +2022-09-23 12:32:54,203 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 12:32:54,205 - mmdet - INFO - Epoch [36][5450/7330] lr: 1.000e-06, eta: 0:14:12, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0244, loss_cls: 0.1282, acc: 95.1086, loss_bbox: 0.1688, loss_mask: 0.1885, loss: 0.5253 +2022-09-23 12:33:16,132 - mmdet - INFO - Epoch [36][5500/7330] lr: 1.000e-06, eta: 0:13:49, time: 0.438, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0278, loss_cls: 0.1337, acc: 94.9667, loss_bbox: 0.1849, loss_mask: 0.1960, loss: 0.5590 +2022-09-23 12:33:38,066 - mmdet - INFO - Epoch [36][5550/7330] lr: 1.000e-06, eta: 0:13:27, time: 0.439, data_time: 0.019, memory: 30693, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0264, loss_cls: 0.1299, acc: 95.0942, loss_bbox: 0.1791, loss_mask: 0.1893, loss: 0.5398 +2022-09-23 12:34:00,297 - mmdet - INFO - Epoch [36][5600/7330] lr: 1.000e-06, eta: 0:13:04, time: 0.445, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0278, loss_cls: 0.1356, acc: 94.8970, loss_bbox: 0.1866, loss_mask: 0.1957, loss: 0.5613 +2022-09-23 12:34:22,142 - mmdet - INFO - Epoch [36][5650/7330] lr: 1.000e-06, eta: 0:12:41, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0280, loss_cls: 0.1320, acc: 95.0024, loss_bbox: 0.1834, loss_mask: 0.1966, loss: 0.5566 +2022-09-23 12:34:43,436 - mmdet - INFO - Epoch [36][5700/7330] lr: 1.000e-06, eta: 0:12:19, time: 0.426, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0239, loss_cls: 0.1195, acc: 95.5030, loss_bbox: 0.1656, loss_mask: 0.1839, loss: 0.5076 +2022-09-23 12:35:04,941 - mmdet - INFO - Epoch [36][5750/7330] lr: 1.000e-06, eta: 0:11:56, time: 0.430, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0266, loss_cls: 0.1304, acc: 95.1208, loss_bbox: 0.1758, loss_mask: 0.1938, loss: 0.5424 +2022-09-23 12:35:26,529 - mmdet - INFO - Epoch [36][5800/7330] lr: 1.000e-06, eta: 0:11:33, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0260, loss_cls: 0.1254, acc: 95.2764, loss_bbox: 0.1724, loss_mask: 0.1911, loss: 0.5301 +2022-09-23 12:35:48,461 - mmdet - INFO - Epoch [36][5850/7330] lr: 1.000e-06, eta: 0:11:11, time: 0.439, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0276, loss_cls: 0.1317, acc: 95.0369, loss_bbox: 0.1792, loss_mask: 0.1941, loss: 0.5486 +2022-09-23 12:36:10,306 - mmdet - INFO - Epoch [36][5900/7330] lr: 1.000e-06, eta: 0:10:48, time: 0.437, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0275, loss_cls: 0.1326, acc: 94.9294, loss_bbox: 0.1826, loss_mask: 0.1940, loss: 0.5525 +2022-09-23 12:36:32,121 - mmdet - INFO - Epoch [36][5950/7330] lr: 1.000e-06, eta: 0:10:25, time: 0.435, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0281, loss_cls: 0.1316, acc: 94.9438, loss_bbox: 0.1847, loss_mask: 0.1985, loss: 0.5594 +2022-09-23 12:36:53,591 - mmdet - INFO - Epoch [36][6000/7330] lr: 1.000e-06, eta: 0:10:03, time: 0.430, data_time: 0.020, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0263, loss_cls: 0.1269, acc: 95.2288, loss_bbox: 0.1749, loss_mask: 0.1928, loss: 0.5365 +2022-09-23 12:37:15,593 - mmdet - INFO - Epoch [36][6050/7330] lr: 1.000e-06, eta: 0:09:40, time: 0.440, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0266, loss_cls: 0.1314, acc: 95.0009, loss_bbox: 0.1812, loss_mask: 0.1932, loss: 0.5484 +2022-09-23 12:37:37,693 - mmdet - INFO - Epoch [36][6100/7330] lr: 1.000e-06, eta: 0:09:17, time: 0.441, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0138, loss_rpn_bbox: 0.0237, loss_cls: 0.1216, acc: 95.4231, loss_bbox: 0.1698, loss_mask: 0.1890, loss: 0.5179 +2022-09-23 12:37:59,799 - mmdet - INFO - Epoch [36][6150/7330] lr: 1.000e-06, eta: 0:08:55, time: 0.443, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0267, loss_cls: 0.1242, acc: 95.3176, loss_bbox: 0.1781, loss_mask: 0.1911, loss: 0.5350 +2022-09-23 12:38:22,037 - mmdet - INFO - Epoch [36][6200/7330] lr: 1.000e-06, eta: 0:08:32, time: 0.445, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0280, loss_cls: 0.1331, acc: 94.9001, loss_bbox: 0.1869, loss_mask: 0.1998, loss: 0.5633 +2022-09-23 12:38:44,027 - mmdet - INFO - Epoch [36][6250/7330] lr: 1.000e-06, eta: 0:08:09, time: 0.439, data_time: 0.018, memory: 30693, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0271, loss_cls: 0.1293, acc: 95.1452, loss_bbox: 0.1791, loss_mask: 0.1903, loss: 0.5425 +2022-09-23 12:39:06,147 - mmdet - INFO - Epoch [36][6300/7330] lr: 1.000e-06, eta: 0:07:47, time: 0.443, data_time: 0.021, memory: 30693, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0264, loss_cls: 0.1291, acc: 95.1306, loss_bbox: 0.1752, loss_mask: 0.1902, loss: 0.5366 +2022-09-23 12:39:28,077 - mmdet - INFO - Epoch [36][6350/7330] lr: 1.000e-06, eta: 0:07:24, time: 0.439, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0258, loss_cls: 0.1256, acc: 95.2511, loss_bbox: 0.1742, loss_mask: 0.1920, loss: 0.5348 +2022-09-23 12:39:50,132 - mmdet - INFO - Epoch [36][6400/7330] lr: 1.000e-06, eta: 0:07:01, time: 0.441, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0292, loss_cls: 0.1350, acc: 94.9580, loss_bbox: 0.1849, loss_mask: 0.1916, loss: 0.5578 +2022-09-23 12:40:11,817 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 12:40:11,820 - mmdet - INFO - Epoch [36][6450/7330] lr: 1.000e-06, eta: 0:06:38, time: 0.434, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0280, loss_cls: 0.1320, acc: 95.0457, loss_bbox: 0.1803, loss_mask: 0.1941, loss: 0.5508 +2022-09-23 12:40:33,473 - mmdet - INFO - Epoch [36][6500/7330] lr: 1.000e-06, eta: 0:06:16, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0263, loss_cls: 0.1236, acc: 95.2515, loss_bbox: 0.1753, loss_mask: 0.1908, loss: 0.5306 +2022-09-23 12:40:55,833 - mmdet - INFO - Epoch [36][6550/7330] lr: 1.000e-06, eta: 0:05:53, time: 0.447, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1308, acc: 95.0493, loss_bbox: 0.1798, loss_mask: 0.1940, loss: 0.5482 +2022-09-23 12:41:17,911 - mmdet - INFO - Epoch [36][6600/7330] lr: 1.000e-06, eta: 0:05:30, time: 0.442, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0267, loss_cls: 0.1300, acc: 95.0596, loss_bbox: 0.1783, loss_mask: 0.1938, loss: 0.5446 +2022-09-23 12:41:39,765 - mmdet - INFO - Epoch [36][6650/7330] lr: 1.000e-06, eta: 0:05:08, time: 0.436, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0276, loss_cls: 0.1329, acc: 94.9766, loss_bbox: 0.1843, loss_mask: 0.1968, loss: 0.5580 +2022-09-23 12:42:01,145 - mmdet - INFO - Epoch [36][6700/7330] lr: 1.000e-06, eta: 0:04:45, time: 0.429, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0260, loss_cls: 0.1263, acc: 95.2302, loss_bbox: 0.1724, loss_mask: 0.1908, loss: 0.5318 +2022-09-23 12:42:22,780 - mmdet - INFO - Epoch [36][6750/7330] lr: 1.000e-06, eta: 0:04:22, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0265, loss_cls: 0.1335, acc: 94.9858, loss_bbox: 0.1802, loss_mask: 0.1920, loss: 0.5467 +2022-09-23 12:42:44,397 - mmdet - INFO - Epoch [36][6800/7330] lr: 1.000e-06, eta: 0:04:00, time: 0.432, data_time: 0.016, memory: 30693, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0271, loss_cls: 0.1288, acc: 95.0686, loss_bbox: 0.1757, loss_mask: 0.1919, loss: 0.5398 +2022-09-23 12:43:06,402 - mmdet - INFO - Epoch [36][6850/7330] lr: 1.000e-06, eta: 0:03:37, time: 0.440, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0261, loss_cls: 0.1219, acc: 95.4233, loss_bbox: 0.1717, loss_mask: 0.1893, loss: 0.5243 +2022-09-23 12:43:28,125 - mmdet - INFO - Epoch [36][6900/7330] lr: 1.000e-06, eta: 0:03:14, time: 0.433, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0271, loss_cls: 0.1274, acc: 95.2141, loss_bbox: 0.1744, loss_mask: 0.1922, loss: 0.5369 +2022-09-23 12:43:50,034 - mmdet - INFO - Epoch [36][6950/7330] lr: 1.000e-06, eta: 0:02:52, time: 0.440, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0260, loss_cls: 0.1289, acc: 95.1284, loss_bbox: 0.1782, loss_mask: 0.1928, loss: 0.5424 +2022-09-23 12:44:12,297 - mmdet - INFO - Epoch [36][7000/7330] lr: 1.000e-06, eta: 0:02:29, time: 0.445, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0264, loss_cls: 0.1319, acc: 95.0908, loss_bbox: 0.1804, loss_mask: 0.1893, loss: 0.5455 +2022-09-23 12:44:33,862 - mmdet - INFO - Epoch [36][7050/7330] lr: 1.000e-06, eta: 0:02:06, time: 0.431, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0268, loss_cls: 0.1311, acc: 95.0317, loss_bbox: 0.1813, loss_mask: 0.1956, loss: 0.5521 +2022-09-23 12:44:55,470 - mmdet - INFO - Epoch [36][7100/7330] lr: 1.000e-06, eta: 0:01:44, time: 0.432, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0264, loss_cls: 0.1274, acc: 95.2416, loss_bbox: 0.1719, loss_mask: 0.1936, loss: 0.5354 +2022-09-23 12:45:17,395 - mmdet - INFO - Epoch [36][7150/7330] lr: 1.000e-06, eta: 0:01:21, time: 0.438, data_time: 0.015, memory: 30693, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0255, loss_cls: 0.1298, acc: 95.1072, loss_bbox: 0.1768, loss_mask: 0.1948, loss: 0.5418 +2022-09-23 12:45:39,546 - mmdet - INFO - Epoch [36][7200/7330] lr: 1.000e-06, eta: 0:00:58, time: 0.443, data_time: 0.017, memory: 30693, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0266, loss_cls: 0.1301, acc: 95.1013, loss_bbox: 0.1800, loss_mask: 0.1922, loss: 0.5447 +2022-09-23 12:46:01,517 - mmdet - INFO - Epoch [36][7250/7330] lr: 1.000e-06, eta: 0:00:36, time: 0.439, data_time: 0.014, memory: 30693, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0290, loss_cls: 0.1341, acc: 94.8960, loss_bbox: 0.1846, loss_mask: 0.1968, loss: 0.5621 +2022-09-23 12:46:23,478 - mmdet - INFO - Epoch [36][7300/7330] lr: 1.000e-06, eta: 0:00:13, time: 0.439, data_time: 0.013, memory: 30693, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0263, loss_cls: 0.1303, acc: 95.0366, loss_bbox: 0.1814, loss_mask: 0.1924, loss: 0.5456 +2022-09-23 12:46:46,574 - mmdet - INFO - Saving checkpoint at 36 epochs +2022-09-23 12:49:00,467 - mmdet - INFO - Evaluating bbox... +2022-09-23 12:49:22,673 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.511 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.723 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.556 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.348 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.546 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.659 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.624 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.624 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.624 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.462 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.657 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.772 + +2022-09-23 12:49:22,675 - mmdet - INFO - Evaluating segm... +2022-09-23 12:49:47,030 - mmdet - INFO - + Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.453 + Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.694 + Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.488 + Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.262 + Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.484 + Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.641 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.560 + Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.394 + Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.597 + Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.718 + +2022-09-23 12:49:47,410 - mmdet - INFO - Exp name: mask_rcnn_uniperceiver_new_adapter_base_fpn_3x_coco.py +2022-09-23 12:49:47,412 - mmdet - INFO - Epoch(val) [36][625] bbox_mAP: 0.5110, bbox_mAP_50: 0.7230, bbox_mAP_75: 0.5560, bbox_mAP_s: 0.3480, bbox_mAP_m: 0.5460, bbox_mAP_l: 0.6590, bbox_mAP_copypaste: 0.511 0.723 0.556 0.348 0.546 0.659, segm_mAP: 0.4530, segm_mAP_50: 0.6940, segm_mAP_75: 0.4880, segm_mAP_s: 0.2620, segm_mAP_m: 0.4840, segm_mAP_l: 0.6410, segm_mAP_copypaste: 0.453 0.694 0.488 0.262 0.484 0.641