2023-11-14 11:52:38,423 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.17 (default, Jul 5 2023, 21:04:15) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/petrelfs/share/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (GCC) 7.5.0 PyTorch: 1.12.0 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - 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_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.0 OpenCV: 4.8.0 MMCV: 1.5.0 MMCV Compiler: GCC 7.5 MMCV CUDA Compiler: 11.3 MMDetection: 2.28.1+a85a748 ------------------------------------------------------------ 2023-11-14 11:52:41,000 - mmdet - INFO - Distributed training: True 2023-11-14 11:52:43,485 - mmdet - INFO - Config: model = dict( type='MaskRCNN', backbone=dict( type='Flash_InternImage_nsmx', core_op='FlashDCNv3', channels=64, depths=[4, 4, 18, 4], groups=[4, 8, 16, 32], mlp_ratio=4.0, drop_path_rate=0.2, norm_layer='LN', layer_scale=1.0, offset_scale=1.0, post_norm=False, with_cp=True, op_bias=True, with_dw=False, out_indices=(0, 1, 2, 3), init_cfg=dict( type='Pretrained', checkpoint= '/mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_t_1k_224_nosmx/ckpt_epoch_ema_best.pth' )), neck=dict( type='FPN_vitdet', in_channels=[64, 128, 256, 512], out_channels=256, num_outs=5, norm_cfg=dict(type='LN', requires_grad=True), use_residual=True), 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='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='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'], classwise=True, save_best='auto') optimizer = dict( type='AdamW', lr=0.0001, weight_decay=0.05, constructor='CustomLayerDecayOptimizerConstructor', paramwise_cfg=dict( num_layers=30, layer_decay_rate=1.0, depths=[4, 4, 18, 4])) 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=1, 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 = '/mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_t_1k_224_nosmx/ckpt_epoch_ema_best.pth' work_dir = './work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco' auto_resume = False gpu_ids = range(0, 8) 2023-11-14 11:52:48,459 - mmdet - INFO - Set random seed to 1642124379, deterministic: False 2023-11-14 11:52:48,460 - mmdet - INFO - using core type: FlashDCNv3 2023-11-14 11:52:48,460 - mmdet - INFO - using activation layer: GELU 2023-11-14 11:52:48,460 - mmdet - INFO - using main norm layer: LN 2023-11-14 11:52:48,460 - mmdet - INFO - using dpr: linear, 0.2 2023-11-14 11:52:48,460 - mmdet - INFO - level2_post_norm: False 2023-11-14 11:52:48,460 - mmdet - INFO - level2_post_norm_block_ids: None 2023-11-14 11:52:48,460 - mmdet - INFO - res_post_norm: False 2023-11-14 11:52:49,236 - mmdet - INFO - load checkpoint from local path: /mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_t_1k_224_nosmx/ckpt_epoch_ema_best.pth 2023-11-14 11:52:50,516 - mmdet - INFO - _IncompatibleKeys(missing_keys=['levels.0.blocks.0.gamma1', 'levels.0.blocks.0.gamma2', 'levels.0.blocks.1.gamma1', 'levels.0.blocks.1.gamma2', 'levels.0.blocks.2.gamma1', 'levels.0.blocks.2.gamma2', 'levels.0.blocks.3.gamma1', 'levels.0.blocks.3.gamma2', 'levels.1.blocks.0.gamma1', 'levels.1.blocks.0.gamma2', 'levels.1.blocks.1.gamma1', 'levels.1.blocks.1.gamma2', 'levels.1.blocks.2.gamma1', 'levels.1.blocks.2.gamma2', 'levels.1.blocks.3.gamma1', 'levels.1.blocks.3.gamma2', 'levels.2.blocks.0.gamma1', 'levels.2.blocks.0.gamma2', 'levels.2.blocks.1.gamma1', 'levels.2.blocks.1.gamma2', 'levels.2.blocks.2.gamma1', 'levels.2.blocks.2.gamma2', 'levels.2.blocks.3.gamma1', 'levels.2.blocks.3.gamma2', 'levels.2.blocks.4.gamma1', 'levels.2.blocks.4.gamma2', 'levels.2.blocks.5.gamma1', 'levels.2.blocks.5.gamma2', 'levels.2.blocks.6.gamma1', 'levels.2.blocks.6.gamma2', 'levels.2.blocks.7.gamma1', 'levels.2.blocks.7.gamma2', 'levels.2.blocks.8.gamma1', 'levels.2.blocks.8.gamma2', 'levels.2.blocks.9.gamma1', 'levels.2.blocks.9.gamma2', 'levels.2.blocks.10.gamma1', 'levels.2.blocks.10.gamma2', 'levels.2.blocks.11.gamma1', 'levels.2.blocks.11.gamma2', 'levels.2.blocks.12.gamma1', 'levels.2.blocks.12.gamma2', 'levels.2.blocks.13.gamma1', 'levels.2.blocks.13.gamma2', 'levels.2.blocks.14.gamma1', 'levels.2.blocks.14.gamma2', 'levels.2.blocks.15.gamma1', 'levels.2.blocks.15.gamma2', 'levels.2.blocks.16.gamma1', 'levels.2.blocks.16.gamma2', 'levels.2.blocks.17.gamma1', 'levels.2.blocks.17.gamma2', 'levels.3.blocks.0.gamma1', 'levels.3.blocks.0.gamma2', 'levels.3.blocks.1.gamma1', 'levels.3.blocks.1.gamma2', 'levels.3.blocks.2.gamma1', 'levels.3.blocks.2.gamma2', 'levels.3.blocks.3.gamma1', 'levels.3.blocks.3.gamma2'], unexpected_keys=['conv_head.0.weight', 'conv_head.1.0.weight', 'conv_head.1.0.bias', 'conv_head.1.0.running_mean', 'conv_head.1.0.running_var', 'conv_head.1.0.num_batches_tracked', 'head.weight', 'head.bias']) 2023-11-14 11:52:50,536 - mmdet - INFO - initialize FPN_vitdet with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'} 2023-11-14 11:52:50,552 - mmdet - INFO - initialize RPNHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01} 2023-11-14 11:52:50,556 - 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.patch_embed.conv1.weight - torch.Size([32, 3, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv1.bias - torch.Size([32]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm1.1.weight - torch.Size([32]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm1.1.bias - torch.Size([32]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv2.weight - torch.Size([64, 32, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv2.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm2.1.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm2.1.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.gamma1 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.0.gamma2 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.0.norm1.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm1.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask.weight - torch.Size([108, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask.bias - torch.Size([108]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.value_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.value_proj.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.output_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm2.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm2.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc1.weight - torch.Size([256, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc2.weight - torch.Size([64, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.gamma1 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.1.gamma2 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.1.norm1.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm1.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask.weight - torch.Size([108, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask.bias - torch.Size([108]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.value_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.value_proj.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.output_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm2.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm2.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc1.weight - torch.Size([256, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc2.weight - torch.Size([64, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.gamma1 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.2.gamma2 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.2.norm1.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm1.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask.weight - torch.Size([108, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask.bias - torch.Size([108]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.value_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.value_proj.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.output_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm2.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm2.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc1.weight - torch.Size([256, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc2.weight - torch.Size([64, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.gamma1 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.3.gamma2 - torch.Size([64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.0.blocks.3.norm1.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm1.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask.weight - torch.Size([108, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask.bias - torch.Size([108]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.value_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.value_proj.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.output_proj.weight - torch.Size([64, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm2.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm2.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc1.weight - torch.Size([256, 64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc2.weight - torch.Size([64, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.norm.0.weight - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.norm.0.bias - torch.Size([64]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.conv.weight - torch.Size([128, 64, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.norm.1.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.norm.1.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.gamma1 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.0.gamma2 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.0.norm1.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm1.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask.weight - torch.Size([216, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask.bias - torch.Size([216]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.value_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.value_proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.output_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm2.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm2.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc1.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc2.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.gamma1 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.1.gamma2 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.1.norm1.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm1.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask.weight - torch.Size([216, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask.bias - torch.Size([216]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.value_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.value_proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.output_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm2.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm2.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc1.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc2.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.gamma1 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.2.gamma2 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.2.norm1.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm1.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask.weight - torch.Size([216, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask.bias - torch.Size([216]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.value_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.value_proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.output_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm2.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm2.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc1.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc2.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.gamma1 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.3.gamma2 - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.1.blocks.3.norm1.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm1.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask.weight - torch.Size([216, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask.bias - torch.Size([216]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.value_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.value_proj.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.output_proj.weight - torch.Size([128, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm2.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm2.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc1.weight - torch.Size([512, 128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc2.weight - torch.Size([128, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.norm.0.weight - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.norm.0.bias - torch.Size([128]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.conv.weight - torch.Size([256, 128, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.norm.1.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.norm.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.0.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.0.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.1.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.1.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.2.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.2.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.3.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.3.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.4.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.4.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.5.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.5.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.6.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.6.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.7.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.7.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.8.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.8.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.9.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.9.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.10.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.10.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.11.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.11.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.12.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.12.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.13.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.13.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.14.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.14.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.15.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.15.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.16.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.16.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.gamma1 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.17.gamma2 - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.2.blocks.17.norm1.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm1.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask.weight - torch.Size([432, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask.bias - torch.Size([432]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.value_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.value_proj.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.output_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm2.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm2.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc1.weight - torch.Size([1024, 256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc1.bias - torch.Size([1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc2.weight - torch.Size([256, 1024]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.norm.0.weight - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.norm.0.bias - torch.Size([256]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.conv.weight - torch.Size([512, 256, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.norm.1.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.norm.1.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.gamma1 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.0.gamma2 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.0.norm1.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm1.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask.weight - torch.Size([864, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask.bias - torch.Size([864]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.value_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.value_proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.output_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm2.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm2.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc1.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc1.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc2.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.gamma1 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.1.gamma2 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.1.norm1.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm1.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask.weight - torch.Size([864, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask.bias - torch.Size([864]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.value_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.value_proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.output_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm2.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm2.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc1.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc1.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc2.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.gamma1 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.2.gamma2 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.2.norm1.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm1.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask.weight - torch.Size([864, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask.bias - torch.Size([864]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.value_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.value_proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.output_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm2.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm2.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc1.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc1.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc2.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.gamma1 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.3.gamma2 - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.levels.3.blocks.3.norm1.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm1.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask.weight - torch.Size([864, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask.bias - torch.Size([864]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.value_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.value_proj.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.output_proj.weight - torch.Size([512, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm2.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm2.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc1.weight - torch.Size([2048, 512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc1.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc2.weight - torch.Size([512, 2048]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.norm.0.weight - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.norm.0.bias - torch.Size([512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx neck.lateral_convs.0.conv.weight - torch.Size([256, 64, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.0.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.0.ln.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, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.1.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.1.ln.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, 256, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.2.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.2.ln.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, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.3.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.3.ln.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.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.0.ln.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.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.1.ln.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.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.2.ln.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.ln.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.3.ln.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 2023-11-14 11:53:08,270 - mmdet - INFO - Automatic scaling of learning rate (LR) has been disabled. 2023-11-14 11:53:08,271 - mmdet - INFO - {'num_layers': 30, 'layer_decay_rate': 1.0, 'depths': [4, 4, 18, 4]} 2023-11-14 11:53:08,271 - mmdet - INFO - Build CustomLayerDecayOptimizerConstructor 1.000000 - 32 2023-11-14 11:53:08,274 - mmdet - INFO - Param groups = { "layer_0_decay": { "param_names": [ "backbone.patch_embed.conv1.weight", "backbone.patch_embed.conv2.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_0_no_decay": { "param_names": [ "backbone.patch_embed.conv1.bias", "backbone.patch_embed.norm1.1.weight", "backbone.patch_embed.norm1.1.bias", "backbone.patch_embed.conv2.bias", "backbone.patch_embed.norm2.1.weight", "backbone.patch_embed.norm2.1.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 }, "layer_1_no_decay": { "param_names": [ "backbone.levels.0.blocks.0.gamma1", "backbone.levels.0.blocks.0.gamma2", "backbone.levels.0.blocks.0.norm1.0.weight", "backbone.levels.0.blocks.0.norm1.0.bias", "backbone.levels.0.blocks.0.dcn.offset_mask.bias", "backbone.levels.0.blocks.0.dcn.value_proj.bias", "backbone.levels.0.blocks.0.norm2.0.weight", "backbone.levels.0.blocks.0.norm2.0.bias", "backbone.levels.0.blocks.0.mlp.fc1.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 }, "layer_1_decay": { "param_names": [ "backbone.levels.0.blocks.0.dcn.offset_mask.weight", "backbone.levels.0.blocks.0.dcn.value_proj.weight", "backbone.levels.0.blocks.0.dcn.output_proj.weight", "backbone.levels.0.blocks.0.mlp.fc1.weight", "backbone.levels.0.blocks.0.mlp.fc2.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_2_no_decay": { "param_names": [ "backbone.levels.0.blocks.1.gamma1", "backbone.levels.0.blocks.1.gamma2", "backbone.levels.0.blocks.1.norm1.0.weight", "backbone.levels.0.blocks.1.norm1.0.bias", "backbone.levels.0.blocks.1.dcn.offset_mask.bias", "backbone.levels.0.blocks.1.dcn.value_proj.bias", "backbone.levels.0.blocks.1.norm2.0.weight", "backbone.levels.0.blocks.1.norm2.0.bias", "backbone.levels.0.blocks.1.mlp.fc1.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 }, "layer_2_decay": { "param_names": [ "backbone.levels.0.blocks.1.dcn.offset_mask.weight", "backbone.levels.0.blocks.1.dcn.value_proj.weight", "backbone.levels.0.blocks.1.dcn.output_proj.weight", "backbone.levels.0.blocks.1.mlp.fc1.weight", "backbone.levels.0.blocks.1.mlp.fc2.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_3_no_decay": { "param_names": [ "backbone.levels.0.blocks.2.gamma1", "backbone.levels.0.blocks.2.gamma2", "backbone.levels.0.blocks.2.norm1.0.weight", "backbone.levels.0.blocks.2.norm1.0.bias", "backbone.levels.0.blocks.2.dcn.offset_mask.bias", "backbone.levels.0.blocks.2.dcn.value_proj.bias", "backbone.levels.0.blocks.2.norm2.0.weight", "backbone.levels.0.blocks.2.norm2.0.bias", "backbone.levels.0.blocks.2.mlp.fc1.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 }, "layer_3_decay": { "param_names": [ "backbone.levels.0.blocks.2.dcn.offset_mask.weight", "backbone.levels.0.blocks.2.dcn.value_proj.weight", "backbone.levels.0.blocks.2.dcn.output_proj.weight", "backbone.levels.0.blocks.2.mlp.fc1.weight", "backbone.levels.0.blocks.2.mlp.fc2.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_4_no_decay": { "param_names": [ "backbone.levels.0.blocks.3.gamma1", "backbone.levels.0.blocks.3.gamma2", "backbone.levels.0.blocks.3.norm1.0.weight", "backbone.levels.0.blocks.3.norm1.0.bias", "backbone.levels.0.blocks.3.dcn.offset_mask.bias", "backbone.levels.0.blocks.3.dcn.value_proj.bias", "backbone.levels.0.blocks.3.norm2.0.weight", "backbone.levels.0.blocks.3.norm2.0.bias", "backbone.levels.0.blocks.3.mlp.fc1.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 }, "layer_4_decay": { "param_names": [ "backbone.levels.0.blocks.3.dcn.offset_mask.weight", "backbone.levels.0.blocks.3.dcn.value_proj.weight", "backbone.levels.0.blocks.3.dcn.output_proj.weight", "backbone.levels.0.blocks.3.mlp.fc1.weight", "backbone.levels.0.blocks.3.mlp.fc2.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_5_no_decay": { "param_names": [ "backbone.levels.0.norm.0.weight", "backbone.levels.0.norm.0.bias", "backbone.levels.0.downsample.norm.1.weight", "backbone.levels.0.downsample.norm.1.bias", "backbone.levels.1.blocks.0.gamma1", "backbone.levels.1.blocks.0.gamma2", "backbone.levels.1.blocks.0.norm1.0.weight", "backbone.levels.1.blocks.0.norm1.0.bias", "backbone.levels.1.blocks.0.dcn.offset_mask.bias", "backbone.levels.1.blocks.0.dcn.value_proj.bias", "backbone.levels.1.blocks.0.norm2.0.weight", "backbone.levels.1.blocks.0.norm2.0.bias", "backbone.levels.1.blocks.0.mlp.fc1.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 }, "layer_5_decay": { "param_names": [ "backbone.levels.0.downsample.conv.weight", "backbone.levels.1.blocks.0.dcn.offset_mask.weight", "backbone.levels.1.blocks.0.dcn.value_proj.weight", "backbone.levels.1.blocks.0.dcn.output_proj.weight", "backbone.levels.1.blocks.0.mlp.fc1.weight", "backbone.levels.1.blocks.0.mlp.fc2.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_6_no_decay": { "param_names": [ "backbone.levels.1.blocks.1.gamma1", "backbone.levels.1.blocks.1.gamma2", "backbone.levels.1.blocks.1.norm1.0.weight", "backbone.levels.1.blocks.1.norm1.0.bias", "backbone.levels.1.blocks.1.dcn.offset_mask.bias", "backbone.levels.1.blocks.1.dcn.value_proj.bias", "backbone.levels.1.blocks.1.norm2.0.weight", "backbone.levels.1.blocks.1.norm2.0.bias", 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"param_names": [ "backbone.levels.3.blocks.3.dcn.offset_mask.weight", "backbone.levels.3.blocks.3.dcn.value_proj.weight", "backbone.levels.3.blocks.3.dcn.output_proj.weight", "backbone.levels.3.blocks.3.mlp.fc1.weight", "backbone.levels.3.blocks.3.mlp.fc2.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_31_decay": { "param_names": [ "neck.lateral_convs.0.conv.weight", "neck.lateral_convs.1.conv.weight", "neck.lateral_convs.2.conv.weight", "neck.lateral_convs.3.conv.weight", "neck.fpn_convs.0.conv.weight", "neck.fpn_convs.1.conv.weight", "neck.fpn_convs.2.conv.weight", "neck.fpn_convs.3.conv.weight", "rpn_head.rpn_conv.weight", "rpn_head.rpn_cls.weight", "rpn_head.rpn_reg.weight", "roi_head.bbox_head.fc_cls.weight", "roi_head.bbox_head.fc_reg.weight", "roi_head.bbox_head.shared_fcs.0.weight", "roi_head.bbox_head.shared_fcs.1.weight", "roi_head.mask_head.convs.0.conv.weight", "roi_head.mask_head.convs.1.conv.weight", "roi_head.mask_head.convs.2.conv.weight", "roi_head.mask_head.convs.3.conv.weight", "roi_head.mask_head.upsample.weight", "roi_head.mask_head.conv_logits.weight" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_31_no_decay": { "param_names": [ "neck.lateral_convs.0.ln.weight", "neck.lateral_convs.0.ln.bias", "neck.lateral_convs.1.ln.weight", "neck.lateral_convs.1.ln.bias", "neck.lateral_convs.2.ln.weight", "neck.lateral_convs.2.ln.bias", "neck.lateral_convs.3.ln.weight", "neck.lateral_convs.3.ln.bias", "neck.fpn_convs.0.ln.weight", "neck.fpn_convs.0.ln.bias", "neck.fpn_convs.1.ln.weight", "neck.fpn_convs.1.ln.bias", "neck.fpn_convs.2.ln.weight", "neck.fpn_convs.2.ln.bias", "neck.fpn_convs.3.ln.weight", "neck.fpn_convs.3.ln.bias", "rpn_head.rpn_conv.bias", "rpn_head.rpn_cls.bias", "rpn_head.rpn_reg.bias", "roi_head.bbox_head.fc_cls.bias", "roi_head.bbox_head.fc_reg.bias", "roi_head.bbox_head.shared_fcs.0.bias", "roi_head.bbox_head.shared_fcs.1.bias", "roi_head.mask_head.convs.0.conv.bias", "roi_head.mask_head.convs.1.conv.bias", "roi_head.mask_head.convs.2.conv.bias", "roi_head.mask_head.convs.3.conv.bias", "roi_head.mask_head.upsample.bias", "roi_head.mask_head.conv_logits.bias" ], "lr_scale": 1.0, "lr": 0.0001, "weight_decay": 0.0 } } 2023-11-14 11:53:08,903 - mmdet - INFO - Start running, host: lizhiqi@SH-IDC1-10-140-37-112, work_dir: /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco 2023-11-14 11:53:08,904 - 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 -------------------- 2023-11-14 11:53:08,904 - mmdet - INFO - workflow: [('train', 1)], max: 36 epochs 2023-11-14 11:53:08,904 - mmdet - INFO - Checkpoints will be saved to /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco by HardDiskBackend. 2023-11-14 11:53:28,467 - mmdet - INFO - Epoch [1][50/7330] lr: 9.890e-06, eta: 1 day, 4:39:30, time: 0.391, data_time: 0.080, memory: 3239, loss_rpn_cls: 0.6757, loss_rpn_bbox: 0.0915, loss_cls: 3.3965, acc: 53.3521, loss_bbox: 0.0533, loss_mask: 0.7434, loss: 4.9604 2023-11-14 11:53:41,349 - mmdet - INFO - Epoch [1][100/7330] lr: 1.988e-05, eta: 23:45:59, time: 0.258, data_time: 0.014, memory: 3367, loss_rpn_cls: 0.4932, loss_rpn_bbox: 0.0796, loss_cls: 0.4939, acc: 94.5430, loss_bbox: 0.1855, loss_mask: 0.6979, loss: 1.9500 2023-11-14 11:53:54,216 - mmdet - INFO - Epoch [1][150/7330] lr: 2.987e-05, eta: 22:07:08, time: 0.257, data_time: 0.016, memory: 3457, loss_rpn_cls: 0.2956, loss_rpn_bbox: 0.0832, loss_cls: 0.4016, acc: 94.1655, loss_bbox: 0.2022, loss_mask: 0.6768, loss: 1.6594 2023-11-14 11:54:07,090 - mmdet - INFO - Epoch [1][200/7330] lr: 3.986e-05, eta: 21:18:16, time: 0.258, data_time: 0.014, memory: 3727, loss_rpn_cls: 0.2250, loss_rpn_bbox: 0.0759, loss_cls: 0.4087, acc: 93.8601, loss_bbox: 0.2191, loss_mask: 0.6576, loss: 1.5862 2023-11-14 11:54:19,814 - mmdet - INFO - Epoch [1][250/7330] lr: 4.985e-05, eta: 20:46:01, time: 0.254, data_time: 0.018, memory: 3727, loss_rpn_cls: 0.1909, loss_rpn_bbox: 0.0836, loss_cls: 0.4612, acc: 92.5884, loss_bbox: 0.2702, loss_mask: 0.6321, loss: 1.6381 2023-11-14 11:54:32,652 - mmdet - INFO - Epoch [1][300/7330] lr: 5.984e-05, eta: 20:26:08, time: 0.257, data_time: 0.013, memory: 3727, loss_rpn_cls: 0.1393, loss_rpn_bbox: 0.0819, loss_cls: 0.4744, acc: 91.9192, loss_bbox: 0.3020, loss_mask: 0.5908, loss: 1.5884 2023-11-14 11:54:45,705 - mmdet - INFO - Epoch [1][350/7330] lr: 6.983e-05, eta: 20:14:34, time: 0.261, data_time: 0.013, memory: 3727, loss_rpn_cls: 0.1036, loss_rpn_bbox: 0.0701, loss_cls: 0.5001, acc: 91.0952, loss_bbox: 0.3427, loss_mask: 0.5463, loss: 1.5628 2023-11-14 11:54:58,666 - mmdet - INFO - Epoch [1][400/7330] lr: 7.982e-05, eta: 20:04:51, time: 0.259, data_time: 0.013, memory: 3734, loss_rpn_cls: 0.0915, loss_rpn_bbox: 0.0679, loss_cls: 0.4980, acc: 90.8965, loss_bbox: 0.3560, loss_mask: 0.5005, loss: 1.5139 2023-11-14 11:55:11,333 - mmdet - INFO - Epoch [1][450/7330] lr: 8.981e-05, eta: 19:54:21, time: 0.253, data_time: 0.014, memory: 3734, loss_rpn_cls: 0.0881, loss_rpn_bbox: 0.0692, loss_cls: 0.4791, acc: 90.7637, loss_bbox: 0.3599, loss_mask: 0.4747, loss: 1.4711 2023-11-14 11:55:24,279 - mmdet - INFO - Epoch [1][500/7330] lr: 9.980e-05, eta: 19:48:22, time: 0.259, data_time: 0.013, memory: 3734, loss_rpn_cls: 0.0910, loss_rpn_bbox: 0.0742, loss_cls: 0.4796, acc: 90.0728, loss_bbox: 0.3747, loss_mask: 0.4435, loss: 1.4630 2023-11-14 11:55:37,335 - mmdet - INFO - Epoch [1][550/7330] lr: 1.000e-04, eta: 19:44:18, time: 0.261, data_time: 0.014, memory: 3734, loss_rpn_cls: 0.0830, loss_rpn_bbox: 0.0684, loss_cls: 0.4761, acc: 89.7241, loss_bbox: 0.3761, loss_mask: 0.4364, loss: 1.4401 2023-11-14 11:55:50,188 - mmdet - INFO - Epoch [1][600/7330] lr: 1.000e-04, eta: 19:39:24, time: 0.257, data_time: 0.013, memory: 3762, loss_rpn_cls: 0.0832, loss_rpn_bbox: 0.0701, loss_cls: 0.4550, acc: 89.1467, loss_bbox: 0.3930, loss_mask: 0.4244, loss: 1.4256 2023-11-14 11:56:03,046 - mmdet - INFO - Epoch [1][650/7330] lr: 1.000e-04, eta: 19:35:15, time: 0.257, data_time: 0.013, memory: 3762, loss_rpn_cls: 0.0701, loss_rpn_bbox: 0.0620, loss_cls: 0.4139, acc: 89.6992, loss_bbox: 0.3759, loss_mask: 0.4150, loss: 1.3369 2023-11-14 11:56:15,437 - mmdet - INFO - Epoch [1][700/7330] lr: 1.000e-04, eta: 19:28:44, time: 0.248, data_time: 0.014, memory: 3762, loss_rpn_cls: 0.0742, loss_rpn_bbox: 0.0656, loss_cls: 0.4065, acc: 89.6545, loss_bbox: 0.3689, loss_mask: 0.4077, loss: 1.3229 2023-11-14 11:56:28,261 - mmdet - INFO - Epoch [1][750/7330] lr: 1.000e-04, eta: 19:25:36, time: 0.257, data_time: 0.013, memory: 3784, loss_rpn_cls: 0.0740, loss_rpn_bbox: 0.0612, loss_cls: 0.3716, acc: 90.0830, loss_bbox: 0.3535, loss_mask: 0.3837, loss: 1.2439 2023-11-14 11:56:41,403 - mmdet - INFO - Epoch [1][800/7330] lr: 1.000e-04, eta: 19:24:34, time: 0.263, data_time: 0.014, memory: 4052, loss_rpn_cls: 0.0751, loss_rpn_bbox: 0.0667, loss_cls: 0.3859, acc: 89.5874, loss_bbox: 0.3717, loss_mask: 0.3930, loss: 1.2924 2023-11-14 11:56:54,617 - mmdet - INFO - Epoch [1][850/7330] lr: 1.000e-04, eta: 19:24:00, time: 0.264, data_time: 0.014, memory: 4052, loss_rpn_cls: 0.0749, loss_rpn_bbox: 0.0661, loss_cls: 0.3735, acc: 89.8176, loss_bbox: 0.3586, loss_mask: 0.3772, loss: 1.2503 2023-11-14 11:57:07,512 - mmdet - INFO - Epoch [1][900/7330] lr: 1.000e-04, eta: 19:21:55, time: 0.258, data_time: 0.016, memory: 4052, loss_rpn_cls: 0.0665, loss_rpn_bbox: 0.0604, loss_cls: 0.3647, acc: 89.8091, loss_bbox: 0.3590, loss_mask: 0.3702, loss: 1.2208 2023-11-14 11:57:20,223 - mmdet - INFO - Epoch [1][950/7330] lr: 1.000e-04, eta: 19:19:12, time: 0.254, data_time: 0.012, memory: 4052, loss_rpn_cls: 0.0631, loss_rpn_bbox: 0.0582, loss_cls: 0.3498, acc: 89.9043, loss_bbox: 0.3484, loss_mask: 0.3638, loss: 1.1833 2023-11-14 11:57:32,742 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 11:57:32,743 - mmdet - INFO - Epoch [1][1000/7330] lr: 1.000e-04, eta: 19:15:52, time: 0.250, data_time: 0.013, memory: 4052, loss_rpn_cls: 0.0717, loss_rpn_bbox: 0.0605, loss_cls: 0.3410, acc: 90.1323, loss_bbox: 0.3510, loss_mask: 0.3574, loss: 1.1815 2023-11-14 11:57:45,486 - mmdet - INFO - Epoch [1][1050/7330] lr: 1.000e-04, eta: 19:13:47, time: 0.255, data_time: 0.016, memory: 4052, loss_rpn_cls: 0.0613, loss_rpn_bbox: 0.0568, loss_cls: 0.3376, acc: 90.1228, loss_bbox: 0.3489, loss_mask: 0.3530, loss: 1.1576 2023-11-14 11:57:58,120 - mmdet - INFO - Epoch [1][1100/7330] lr: 1.000e-04, eta: 19:11:26, time: 0.253, data_time: 0.013, memory: 4052, loss_rpn_cls: 0.0629, loss_rpn_bbox: 0.0621, loss_cls: 0.3351, acc: 90.1626, loss_bbox: 0.3473, loss_mask: 0.3548, loss: 1.1622 2023-11-14 11:58:10,795 - mmdet - INFO - Epoch [1][1150/7330] lr: 1.000e-04, eta: 19:09:25, time: 0.253, data_time: 0.011, memory: 4052, loss_rpn_cls: 0.0652, loss_rpn_bbox: 0.0608, loss_cls: 0.3295, acc: 90.2759, loss_bbox: 0.3430, loss_mask: 0.3447, loss: 1.1433 2023-11-14 11:58:23,757 - mmdet - INFO - Epoch [1][1200/7330] lr: 1.000e-04, eta: 19:08:36, time: 0.259, data_time: 0.015, memory: 4052, loss_rpn_cls: 0.0661, loss_rpn_bbox: 0.0609, loss_cls: 0.3224, acc: 90.4761, loss_bbox: 0.3320, loss_mask: 0.3438, loss: 1.1253 2023-11-14 11:58:36,519 - mmdet - INFO - Epoch [1][1250/7330] lr: 1.000e-04, eta: 19:07:08, time: 0.255, data_time: 0.013, memory: 4052, loss_rpn_cls: 0.0581, loss_rpn_bbox: 0.0557, loss_cls: 0.3206, acc: 90.3481, loss_bbox: 0.3378, loss_mask: 0.3355, loss: 1.1077 2023-11-14 11:58:49,334 - mmdet - INFO - Epoch [1][1300/7330] lr: 1.000e-04, eta: 19:05:57, time: 0.256, data_time: 0.012, memory: 4052, loss_rpn_cls: 0.0617, loss_rpn_bbox: 0.0585, loss_cls: 0.3193, acc: 90.4236, loss_bbox: 0.3330, loss_mask: 0.3382, loss: 1.1108 2023-11-14 11:59:01,993 - mmdet - INFO - Epoch [1][1350/7330] lr: 1.000e-04, eta: 19:04:19, time: 0.253, data_time: 0.012, memory: 4052, loss_rpn_cls: 0.0614, loss_rpn_bbox: 0.0596, loss_cls: 0.3133, acc: 90.3748, loss_bbox: 0.3374, loss_mask: 0.3346, loss: 1.1063 2023-11-14 11:59:14,935 - mmdet - INFO - Epoch [1][1400/7330] lr: 1.000e-04, eta: 19:03:41, time: 0.259, data_time: 0.016, memory: 4052, loss_rpn_cls: 0.0587, loss_rpn_bbox: 0.0579, loss_cls: 0.3189, acc: 90.3152, loss_bbox: 0.3409, loss_mask: 0.3379, loss: 1.1145 2023-11-14 11:59:27,567 - mmdet - INFO - Epoch [1][1450/7330] lr: 1.000e-04, eta: 19:02:08, time: 0.253, data_time: 0.012, memory: 4052, loss_rpn_cls: 0.0590, loss_rpn_bbox: 0.0538, loss_cls: 0.3097, acc: 90.5767, loss_bbox: 0.3263, loss_mask: 0.3293, loss: 1.0781 2023-11-14 11:59:40,231 - mmdet - INFO - Epoch [1][1500/7330] lr: 1.000e-04, eta: 19:00:46, time: 0.253, data_time: 0.014, memory: 4052, loss_rpn_cls: 0.0622, loss_rpn_bbox: 0.0594, loss_cls: 0.3312, acc: 89.9587, loss_bbox: 0.3380, loss_mask: 0.3353, loss: 1.1260 2023-11-14 11:59:52,943 - mmdet - INFO - Epoch [1][1550/7330] lr: 1.000e-04, eta: 18:59:37, time: 0.254, data_time: 0.014, memory: 4052, loss_rpn_cls: 0.0599, loss_rpn_bbox: 0.0581, loss_cls: 0.3181, acc: 90.2471, loss_bbox: 0.3322, loss_mask: 0.3254, loss: 1.0937 2023-11-14 12:00:05,674 - mmdet - INFO - Epoch [1][1600/7330] lr: 1.000e-04, eta: 18:58:34, time: 0.255, data_time: 0.013, memory: 4052, loss_rpn_cls: 0.0584, loss_rpn_bbox: 0.0544, loss_cls: 0.3033, acc: 90.7844, loss_bbox: 0.3193, loss_mask: 0.3400, loss: 1.0755 2023-11-14 12:00:18,391 - mmdet - INFO - Epoch [1][1650/7330] lr: 1.000e-04, eta: 18:57:33, time: 0.254, data_time: 0.014, memory: 4127, loss_rpn_cls: 0.0623, loss_rpn_bbox: 0.0586, loss_cls: 0.3052, acc: 90.5188, loss_bbox: 0.3304, loss_mask: 0.3298, loss: 1.0862 2023-11-14 12:00:31,138 - mmdet - INFO - Epoch [1][1700/7330] lr: 1.000e-04, eta: 18:56:39, time: 0.255, data_time: 0.017, memory: 4127, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0566, loss_cls: 0.3032, acc: 90.8047, loss_bbox: 0.3171, loss_mask: 0.3258, loss: 1.0604 2023-11-14 12:00:43,821 - mmdet - INFO - Epoch [1][1750/7330] lr: 1.000e-04, eta: 18:55:37, time: 0.254, data_time: 0.014, memory: 4127, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0573, loss_cls: 0.3003, acc: 90.6987, loss_bbox: 0.3226, loss_mask: 0.3323, loss: 1.0693 2023-11-14 12:00:56,624 - mmdet - INFO - Epoch [1][1800/7330] lr: 1.000e-04, eta: 18:54:56, time: 0.256, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0545, loss_cls: 0.2906, acc: 90.9653, loss_bbox: 0.3145, loss_mask: 0.3231, loss: 1.0390 2023-11-14 12:01:09,622 - mmdet - INFO - Epoch [1][1850/7330] lr: 1.000e-04, eta: 18:54:44, time: 0.260, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0577, loss_rpn_bbox: 0.0542, loss_cls: 0.2928, acc: 90.8481, loss_bbox: 0.3156, loss_mask: 0.3259, loss: 1.0462 2023-11-14 12:01:22,447 - mmdet - INFO - Epoch [1][1900/7330] lr: 1.000e-04, eta: 18:54:08, time: 0.256, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0537, loss_cls: 0.2878, acc: 91.0271, loss_bbox: 0.3116, loss_mask: 0.3216, loss: 1.0285 2023-11-14 12:01:35,271 - mmdet - INFO - Epoch [1][1950/7330] lr: 1.000e-04, eta: 18:53:33, time: 0.256, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0538, loss_rpn_bbox: 0.0547, loss_cls: 0.2934, acc: 90.8389, loss_bbox: 0.3210, loss_mask: 0.3193, loss: 1.0422 2023-11-14 12:01:48,185 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 12:01:48,185 - mmdet - INFO - Epoch [1][2000/7330] lr: 1.000e-04, eta: 18:53:11, time: 0.258, data_time: 0.014, memory: 4127, loss_rpn_cls: 0.0580, loss_rpn_bbox: 0.0512, loss_cls: 0.2987, acc: 90.6042, loss_bbox: 0.3199, loss_mask: 0.3148, loss: 1.0425 2023-11-14 12:02:01,155 - mmdet - INFO - Epoch [1][2050/7330] lr: 1.000e-04, eta: 18:52:56, time: 0.259, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0531, loss_cls: 0.2889, acc: 91.0366, loss_bbox: 0.3083, loss_mask: 0.3142, loss: 1.0177 2023-11-14 12:02:13,995 - mmdet - INFO - Epoch [1][2100/7330] lr: 1.000e-04, eta: 18:52:26, time: 0.257, data_time: 0.016, memory: 4127, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0538, loss_cls: 0.3014, acc: 90.5090, loss_bbox: 0.3235, loss_mask: 0.3174, loss: 1.0484 2023-11-14 12:02:26,899 - mmdet - INFO - Epoch [1][2150/7330] lr: 1.000e-04, eta: 18:52:04, time: 0.258, data_time: 0.014, memory: 4127, loss_rpn_cls: 0.0567, loss_rpn_bbox: 0.0537, loss_cls: 0.2901, acc: 90.8892, loss_bbox: 0.3099, loss_mask: 0.3130, loss: 1.0234 2023-11-14 12:02:39,873 - mmdet - INFO - Epoch [1][2200/7330] lr: 1.000e-04, eta: 18:51:50, time: 0.259, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0578, loss_rpn_bbox: 0.0559, loss_cls: 0.2850, acc: 91.0188, loss_bbox: 0.3143, loss_mask: 0.3130, loss: 1.0260 2023-11-14 12:02:52,876 - mmdet - INFO - Epoch [1][2250/7330] lr: 1.000e-04, eta: 18:51:40, time: 0.260, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0571, loss_rpn_bbox: 0.0534, loss_cls: 0.2796, acc: 91.0122, loss_bbox: 0.3028, loss_mask: 0.3142, loss: 1.0070 2023-11-14 12:03:05,681 - mmdet - INFO - Epoch [1][2300/7330] lr: 1.000e-04, eta: 18:51:08, time: 0.256, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0522, loss_cls: 0.2941, acc: 90.6953, loss_bbox: 0.3176, loss_mask: 0.3131, loss: 1.0279 2023-11-14 12:03:18,042 - mmdet - INFO - Epoch [1][2350/7330] lr: 1.000e-04, eta: 18:49:47, time: 0.247, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0575, loss_rpn_bbox: 0.0573, loss_cls: 0.2997, acc: 90.5759, loss_bbox: 0.3248, loss_mask: 0.3197, loss: 1.0589 2023-11-14 12:03:30,848 - mmdet - INFO - Epoch [1][2400/7330] lr: 1.000e-04, eta: 18:49:17, time: 0.256, data_time: 0.015, memory: 4127, loss_rpn_cls: 0.0504, loss_rpn_bbox: 0.0504, loss_cls: 0.2857, acc: 90.9033, loss_bbox: 0.3121, loss_mask: 0.3075, loss: 1.0062 2023-11-14 12:03:43,451 - mmdet - INFO - Epoch [1][2450/7330] lr: 1.000e-04, eta: 18:48:26, time: 0.252, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0506, loss_cls: 0.2789, acc: 91.0649, loss_bbox: 0.3113, loss_mask: 0.3074, loss: 0.9990 2023-11-14 12:03:55,977 - mmdet - INFO - Epoch [1][2500/7330] lr: 1.000e-04, eta: 18:47:29, time: 0.251, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0564, loss_rpn_bbox: 0.0514, loss_cls: 0.2718, acc: 91.3589, loss_bbox: 0.2984, loss_mask: 0.3002, loss: 0.9782 2023-11-14 12:04:08,380 - mmdet - INFO - Epoch [1][2550/7330] lr: 1.000e-04, eta: 18:46:21, time: 0.248, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0531, loss_rpn_bbox: 0.0502, loss_cls: 0.2804, acc: 91.0781, loss_bbox: 0.3031, loss_mask: 0.3002, loss: 0.9870 2023-11-14 12:04:21,208 - mmdet - INFO - Epoch [1][2600/7330] lr: 1.000e-04, eta: 18:45:58, time: 0.257, data_time: 0.011, memory: 4127, loss_rpn_cls: 0.0540, loss_rpn_bbox: 0.0531, loss_cls: 0.2835, acc: 90.8015, loss_bbox: 0.3134, loss_mask: 0.3095, loss: 1.0136 2023-11-14 12:04:33,765 - mmdet - INFO - Epoch [1][2650/7330] lr: 1.000e-04, eta: 18:45:08, time: 0.251, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0503, loss_cls: 0.2806, acc: 91.0503, loss_bbox: 0.3084, loss_mask: 0.3081, loss: 1.0007 2023-11-14 12:04:46,599 - mmdet - INFO - Epoch [1][2700/7330] lr: 1.000e-04, eta: 18:44:47, time: 0.257, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0513, loss_cls: 0.2656, acc: 91.5896, loss_bbox: 0.2914, loss_mask: 0.2984, loss: 0.9585 2023-11-14 12:04:59,244 - mmdet - INFO - Epoch [1][2750/7330] lr: 1.000e-04, eta: 18:44:08, time: 0.253, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0526, loss_rpn_bbox: 0.0525, loss_cls: 0.2833, acc: 91.0022, loss_bbox: 0.3065, loss_mask: 0.3051, loss: 1.0000 2023-11-14 12:05:11,882 - mmdet - INFO - Epoch [1][2800/7330] lr: 1.000e-04, eta: 18:43:29, time: 0.253, data_time: 0.011, memory: 4127, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0507, loss_cls: 0.2628, acc: 91.3770, loss_bbox: 0.2997, loss_mask: 0.3066, loss: 0.9662 2023-11-14 12:05:24,530 - mmdet - INFO - Epoch [1][2850/7330] lr: 1.000e-04, eta: 18:42:52, time: 0.253, data_time: 0.015, memory: 4127, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0507, loss_cls: 0.2665, acc: 91.4929, loss_bbox: 0.2958, loss_mask: 0.3104, loss: 0.9753 2023-11-14 12:05:37,214 - mmdet - INFO - Epoch [1][2900/7330] lr: 1.000e-04, eta: 18:42:19, time: 0.254, data_time: 0.011, memory: 4127, loss_rpn_cls: 0.0505, loss_rpn_bbox: 0.0503, loss_cls: 0.2688, acc: 91.4114, loss_bbox: 0.2914, loss_mask: 0.3106, loss: 0.9717 2023-11-14 12:05:49,821 - mmdet - INFO - Epoch [1][2950/7330] lr: 1.000e-04, eta: 18:41:40, time: 0.252, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0493, loss_rpn_bbox: 0.0506, loss_cls: 0.2686, acc: 91.4182, loss_bbox: 0.2991, loss_mask: 0.2960, loss: 0.9637 2023-11-14 12:06:02,475 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 12:06:02,476 - mmdet - INFO - Epoch [1][3000/7330] lr: 1.000e-04, eta: 18:41:06, time: 0.253, data_time: 0.012, memory: 4127, loss_rpn_cls: 0.0497, loss_rpn_bbox: 0.0510, loss_cls: 0.2691, acc: 91.4070, loss_bbox: 0.2960, loss_mask: 0.2997, loss: 0.9654 2023-11-14 12:06:15,397 - mmdet - INFO - Epoch [1][3050/7330] lr: 1.000e-04, eta: 18:40:56, time: 0.258, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0470, loss_rpn_bbox: 0.0485, loss_cls: 0.2685, acc: 91.1887, loss_bbox: 0.3016, loss_mask: 0.2972, loss: 0.9627 2023-11-14 12:06:28,283 - mmdet - INFO - Epoch [1][3100/7330] lr: 1.000e-04, eta: 18:40:43, time: 0.258, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0496, loss_rpn_bbox: 0.0499, loss_cls: 0.2667, acc: 91.3735, loss_bbox: 0.2954, loss_mask: 0.2945, loss: 0.9561 2023-11-14 12:06:41,027 - mmdet - INFO - Epoch [1][3150/7330] lr: 1.000e-04, eta: 18:40:17, time: 0.255, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0532, loss_rpn_bbox: 0.0516, loss_cls: 0.2694, acc: 91.3213, loss_bbox: 0.3014, loss_mask: 0.3003, loss: 0.9759 2023-11-14 12:06:53,920 - mmdet - INFO - Epoch [1][3200/7330] lr: 1.000e-04, eta: 18:40:05, time: 0.258, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0563, loss_rpn_bbox: 0.0573, loss_cls: 0.2843, acc: 90.7917, loss_bbox: 0.3190, loss_mask: 0.3066, loss: 1.0236 2023-11-14 12:07:06,777 - mmdet - INFO - Epoch [1][3250/7330] lr: 1.000e-04, eta: 18:39:49, time: 0.257, data_time: 0.014, memory: 4127, loss_rpn_cls: 0.0527, loss_rpn_bbox: 0.0513, loss_cls: 0.2731, acc: 91.3215, loss_bbox: 0.2976, loss_mask: 0.3009, loss: 0.9757 2023-11-14 12:07:19,602 - mmdet - INFO - Epoch [1][3300/7330] lr: 1.000e-04, eta: 18:39:31, time: 0.256, data_time: 0.013, memory: 4127, loss_rpn_cls: 0.0487, loss_rpn_bbox: 0.0511, loss_cls: 0.2653, acc: 91.3262, loss_bbox: 0.2962, loss_mask: 0.2939, loss: 0.9552 2023-11-14 12:07:32,498 - mmdet - INFO - Epoch [1][3350/7330] lr: 1.000e-04, eta: 18:39:19, time: 0.258, data_time: 0.014, memory: 4153, loss_rpn_cls: 0.0528, loss_rpn_bbox: 0.0532, loss_cls: 0.2735, acc: 91.1895, loss_bbox: 0.3073, loss_mask: 0.2943, loss: 0.9811 2023-11-14 12:07:45,413 - mmdet - INFO - Epoch [1][3400/7330] lr: 1.000e-04, eta: 18:39:08, time: 0.258, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0490, loss_cls: 0.2573, acc: 91.6404, loss_bbox: 0.2906, loss_mask: 0.3028, loss: 0.9503 2023-11-14 12:07:58,157 - mmdet - INFO - Epoch [1][3450/7330] lr: 1.000e-04, eta: 18:38:44, time: 0.255, data_time: 0.014, memory: 4153, loss_rpn_cls: 0.0520, loss_rpn_bbox: 0.0499, loss_cls: 0.2691, acc: 91.2754, loss_bbox: 0.3007, loss_mask: 0.2978, loss: 0.9695 2023-11-14 12:08:11,165 - mmdet - INFO - Epoch [1][3500/7330] lr: 1.000e-04, eta: 18:38:40, time: 0.260, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0508, loss_rpn_bbox: 0.0500, loss_cls: 0.2599, acc: 91.6433, loss_bbox: 0.2878, loss_mask: 0.2913, loss: 0.9399 2023-11-14 12:08:23,847 - mmdet - INFO - Epoch [1][3550/7330] lr: 1.000e-04, eta: 18:38:12, time: 0.254, data_time: 0.014, memory: 4153, loss_rpn_cls: 0.0471, loss_rpn_bbox: 0.0478, loss_cls: 0.2640, acc: 91.4634, loss_bbox: 0.2962, loss_mask: 0.2983, loss: 0.9534 2023-11-14 12:08:36,491 - mmdet - INFO - Epoch [1][3600/7330] lr: 1.000e-04, eta: 18:37:41, time: 0.253, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0554, loss_rpn_bbox: 0.0531, loss_cls: 0.2668, acc: 91.5549, loss_bbox: 0.2939, loss_mask: 0.2949, loss: 0.9641 2023-11-14 12:08:48,962 - mmdet - INFO - Epoch [1][3650/7330] lr: 1.000e-04, eta: 18:36:59, time: 0.249, data_time: 0.015, memory: 4153, loss_rpn_cls: 0.0523, loss_rpn_bbox: 0.0478, loss_cls: 0.2625, acc: 91.5706, loss_bbox: 0.2908, loss_mask: 0.2910, loss: 0.9445 2023-11-14 12:09:01,856 - mmdet - INFO - Epoch [1][3700/7330] lr: 1.000e-04, eta: 18:36:48, time: 0.258, data_time: 0.016, memory: 4153, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0522, loss_cls: 0.2696, acc: 91.2239, loss_bbox: 0.2981, loss_mask: 0.2978, loss: 0.9665 2023-11-14 12:09:14,561 - mmdet - INFO - Epoch [1][3750/7330] lr: 1.000e-04, eta: 18:36:22, time: 0.254, data_time: 0.012, memory: 4153, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0523, loss_cls: 0.2733, acc: 91.0803, loss_bbox: 0.3066, loss_mask: 0.3000, loss: 0.9831 2023-11-14 12:09:27,458 - mmdet - INFO - Epoch [1][3800/7330] lr: 1.000e-04, eta: 18:36:11, time: 0.258, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0485, loss_rpn_bbox: 0.0484, loss_cls: 0.2668, acc: 91.3904, loss_bbox: 0.2951, loss_mask: 0.2931, loss: 0.9518 2023-11-14 12:09:40,157 - mmdet - INFO - Epoch [1][3850/7330] lr: 1.000e-04, eta: 18:35:46, time: 0.254, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0482, loss_cls: 0.2638, acc: 91.2495, loss_bbox: 0.3003, loss_mask: 0.2941, loss: 0.9538 2023-11-14 12:09:52,832 - mmdet - INFO - Epoch [1][3900/7330] lr: 1.000e-04, eta: 18:35:20, time: 0.253, data_time: 0.012, memory: 4153, loss_rpn_cls: 0.0478, loss_rpn_bbox: 0.0479, loss_cls: 0.2710, acc: 91.2778, loss_bbox: 0.3034, loss_mask: 0.2947, loss: 0.9648 2023-11-14 12:10:05,346 - mmdet - INFO - Epoch [1][3950/7330] lr: 1.000e-04, eta: 18:34:44, time: 0.250, data_time: 0.014, memory: 4153, loss_rpn_cls: 0.0524, loss_rpn_bbox: 0.0522, loss_cls: 0.2639, acc: 91.3923, loss_bbox: 0.2941, loss_mask: 0.2948, loss: 0.9574 2023-11-14 12:10:17,962 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 12:10:17,963 - mmdet - INFO - Epoch [1][4000/7330] lr: 1.000e-04, eta: 18:34:15, time: 0.252, data_time: 0.015, memory: 4153, loss_rpn_cls: 0.0498, loss_rpn_bbox: 0.0500, loss_cls: 0.2641, acc: 91.3086, loss_bbox: 0.2942, loss_mask: 0.2892, loss: 0.9474 2023-11-14 12:10:30,272 - mmdet - INFO - Epoch [1][4050/7330] lr: 1.000e-04, eta: 18:33:27, time: 0.246, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0517, loss_rpn_bbox: 0.0507, loss_cls: 0.2683, acc: 91.4402, loss_bbox: 0.2954, loss_mask: 0.2833, loss: 0.9494 2023-11-14 12:10:42,903 - mmdet - INFO - Epoch [1][4100/7330] lr: 1.000e-04, eta: 18:32:59, time: 0.253, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0494, loss_rpn_bbox: 0.0506, loss_cls: 0.2715, acc: 91.2053, loss_bbox: 0.3030, loss_mask: 0.2940, loss: 0.9685 2023-11-14 12:10:55,807 - mmdet - INFO - Epoch [1][4150/7330] lr: 1.000e-04, eta: 18:32:50, time: 0.258, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0482, loss_rpn_bbox: 0.0510, loss_cls: 0.2606, acc: 91.5068, loss_bbox: 0.2991, loss_mask: 0.2932, loss: 0.9520 2023-11-14 12:11:08,519 - mmdet - INFO - Epoch [1][4200/7330] lr: 1.000e-04, eta: 18:32:28, time: 0.254, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0519, loss_rpn_bbox: 0.0531, loss_cls: 0.2680, acc: 91.2246, loss_bbox: 0.3003, loss_mask: 0.2957, loss: 0.9690 2023-11-14 12:11:21,257 - mmdet - INFO - Epoch [1][4250/7330] lr: 1.000e-04, eta: 18:32:08, time: 0.255, data_time: 0.012, memory: 4153, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0477, loss_cls: 0.2469, acc: 91.8953, loss_bbox: 0.2813, loss_mask: 0.2875, loss: 0.9086 2023-11-14 12:11:34,121 - mmdet - INFO - Epoch [1][4300/7330] lr: 1.000e-04, eta: 18:31:56, time: 0.257, data_time: 0.015, memory: 4153, loss_rpn_cls: 0.0510, loss_rpn_bbox: 0.0506, loss_cls: 0.2710, acc: 91.2698, loss_bbox: 0.3015, loss_mask: 0.2975, loss: 0.9716 2023-11-14 12:11:46,994 - mmdet - INFO - Epoch [1][4350/7330] lr: 1.000e-04, eta: 18:31:45, time: 0.257, data_time: 0.017, memory: 4153, loss_rpn_cls: 0.0481, loss_rpn_bbox: 0.0502, loss_cls: 0.2600, acc: 91.6697, loss_bbox: 0.2855, loss_mask: 0.2940, loss: 0.9379 2023-11-14 12:11:59,748 - mmdet - INFO - Epoch [1][4400/7330] lr: 1.000e-04, eta: 18:31:26, time: 0.255, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0477, loss_cls: 0.2646, acc: 91.3940, loss_bbox: 0.2980, loss_mask: 0.2900, loss: 0.9462 2023-11-14 12:12:12,631 - mmdet - INFO - Epoch [1][4450/7330] lr: 1.000e-04, eta: 18:31:15, time: 0.258, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0472, loss_rpn_bbox: 0.0480, loss_cls: 0.2576, acc: 91.5085, loss_bbox: 0.2934, loss_mask: 0.2871, loss: 0.9333 2023-11-14 12:12:25,295 - mmdet - INFO - Epoch [1][4500/7330] lr: 1.000e-04, eta: 18:30:51, time: 0.253, data_time: 0.016, memory: 4153, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0457, loss_cls: 0.2448, acc: 91.9221, loss_bbox: 0.2822, loss_mask: 0.2793, loss: 0.8981 2023-11-14 12:12:37,909 - mmdet - INFO - Epoch [1][4550/7330] lr: 1.000e-04, eta: 18:30:25, time: 0.252, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0501, loss_rpn_bbox: 0.0502, loss_cls: 0.2606, acc: 91.5393, loss_bbox: 0.2952, loss_mask: 0.2867, loss: 0.9428 2023-11-14 12:12:50,420 - mmdet - INFO - Epoch [1][4600/7330] lr: 1.000e-04, eta: 18:29:53, time: 0.250, data_time: 0.012, memory: 4153, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0451, loss_cls: 0.2405, acc: 92.0737, loss_bbox: 0.2804, loss_mask: 0.2814, loss: 0.8909 2023-11-14 12:13:03,273 - mmdet - INFO - Epoch [1][4650/7330] lr: 1.000e-04, eta: 18:29:41, time: 0.257, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0491, loss_rpn_bbox: 0.0486, loss_cls: 0.2678, acc: 91.3547, loss_bbox: 0.2954, loss_mask: 0.2884, loss: 0.9492 2023-11-14 12:13:16,103 - mmdet - INFO - Epoch [1][4700/7330] lr: 1.000e-04, eta: 18:29:28, time: 0.257, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0475, loss_cls: 0.2532, acc: 91.5293, loss_bbox: 0.2922, loss_mask: 0.2824, loss: 0.9230 2023-11-14 12:13:28,836 - mmdet - INFO - Epoch [1][4750/7330] lr: 1.000e-04, eta: 18:29:09, time: 0.255, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0441, loss_cls: 0.2453, acc: 91.8308, loss_bbox: 0.2774, loss_mask: 0.2864, loss: 0.8979 2023-11-14 12:13:41,671 - mmdet - INFO - Epoch [1][4800/7330] lr: 1.000e-04, eta: 18:28:56, time: 0.257, data_time: 0.012, memory: 4153, loss_rpn_cls: 0.0490, loss_rpn_bbox: 0.0462, loss_cls: 0.2602, acc: 91.5281, loss_bbox: 0.2936, loss_mask: 0.2836, loss: 0.9326 2023-11-14 12:13:54,419 - mmdet - INFO - Epoch [1][4850/7330] lr: 1.000e-04, eta: 18:28:38, time: 0.255, data_time: 0.012, memory: 4153, loss_rpn_cls: 0.0500, loss_rpn_bbox: 0.0503, loss_cls: 0.2700, acc: 91.1565, loss_bbox: 0.2981, loss_mask: 0.2911, loss: 0.9596 2023-11-14 12:14:07,044 - mmdet - INFO - Epoch [1][4900/7330] lr: 1.000e-04, eta: 18:28:14, time: 0.253, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0473, loss_cls: 0.2617, acc: 91.5354, loss_bbox: 0.2900, loss_mask: 0.2846, loss: 0.9297 2023-11-14 12:14:19,787 - mmdet - INFO - Epoch [1][4950/7330] lr: 1.000e-04, eta: 18:27:56, time: 0.255, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0509, loss_rpn_bbox: 0.0478, loss_cls: 0.2597, acc: 91.6982, loss_bbox: 0.2841, loss_mask: 0.2859, loss: 0.9284 2023-11-14 12:14:32,474 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 12:14:32,475 - mmdet - INFO - Epoch [1][5000/7330] lr: 1.000e-04, eta: 18:27:35, time: 0.254, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0489, loss_rpn_bbox: 0.0478, loss_cls: 0.2610, acc: 91.5039, loss_bbox: 0.2896, loss_mask: 0.2833, loss: 0.9307 2023-11-14 12:14:45,114 - mmdet - INFO - Epoch [1][5050/7330] lr: 1.000e-04, eta: 18:27:12, time: 0.253, data_time: 0.012, memory: 4153, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0472, loss_cls: 0.2461, acc: 91.9941, loss_bbox: 0.2785, loss_mask: 0.2808, loss: 0.8961 2023-11-14 12:14:57,611 - mmdet - INFO - Epoch [1][5100/7330] lr: 1.000e-04, eta: 18:26:43, time: 0.250, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0467, loss_rpn_bbox: 0.0482, loss_cls: 0.2498, acc: 91.8423, loss_bbox: 0.2800, loss_mask: 0.2737, loss: 0.8983 2023-11-14 12:15:10,361 - mmdet - INFO - Epoch [1][5150/7330] lr: 1.000e-04, eta: 18:26:26, time: 0.255, data_time: 0.014, memory: 4153, loss_rpn_cls: 0.0486, loss_rpn_bbox: 0.0466, loss_cls: 0.2457, acc: 91.8518, loss_bbox: 0.2826, loss_mask: 0.2833, loss: 0.9067 2023-11-14 12:15:23,311 - mmdet - INFO - Epoch [1][5200/7330] lr: 1.000e-04, eta: 18:26:19, time: 0.259, data_time: 0.017, memory: 4153, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0475, loss_cls: 0.2572, acc: 91.6716, loss_bbox: 0.2858, loss_mask: 0.2821, loss: 0.9202 2023-11-14 12:15:36,175 - mmdet - INFO - Epoch [1][5250/7330] lr: 1.000e-04, eta: 18:26:08, time: 0.257, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0479, loss_rpn_bbox: 0.0449, loss_cls: 0.2533, acc: 91.6233, loss_bbox: 0.2875, loss_mask: 0.2849, loss: 0.9184 2023-11-14 12:15:49,000 - mmdet - INFO - Epoch [1][5300/7330] lr: 1.000e-04, eta: 18:25:55, time: 0.256, data_time: 0.015, memory: 4153, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0456, loss_cls: 0.2424, acc: 92.0540, loss_bbox: 0.2745, loss_mask: 0.2816, loss: 0.8893 2023-11-14 12:16:01,805 - mmdet - INFO - Epoch [1][5350/7330] lr: 1.000e-04, eta: 18:25:40, time: 0.256, data_time: 0.013, memory: 4153, loss_rpn_cls: 0.0458, loss_rpn_bbox: 0.0473, loss_cls: 0.2520, acc: 91.6667, loss_bbox: 0.2819, loss_mask: 0.2804, loss: 0.9075 2023-11-14 12:16:14,426 - mmdet - INFO - Epoch [1][5400/7330] lr: 1.000e-04, eta: 18:25:18, time: 0.252, data_time: 0.016, memory: 4153, loss_rpn_cls: 0.0462, loss_rpn_bbox: 0.0472, loss_cls: 0.2544, acc: 91.6094, loss_bbox: 0.2859, loss_mask: 0.2749, loss: 0.9086 2023-11-14 12:16:26,950 - mmdet - INFO - Epoch [1][5450/7330] lr: 1.000e-04, eta: 18:24:50, time: 0.250, data_time: 0.014, memory: 4153, loss_rpn_cls: 0.0456, loss_rpn_bbox: 0.0462, loss_cls: 0.2525, acc: 91.5688, loss_bbox: 0.2911, loss_mask: 0.2796, loss: 0.9149 2023-11-14 12:16:39,635 - mmdet - INFO - Epoch [1][5500/7330] lr: 1.000e-04, eta: 18:24:31, time: 0.254, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0485, loss_cls: 0.2568, acc: 91.5706, loss_bbox: 0.2859, loss_mask: 0.2843, loss: 0.9203 2023-11-14 12:16:52,562 - mmdet - INFO - Epoch [1][5550/7330] lr: 1.000e-04, eta: 18:24:23, time: 0.259, data_time: 0.019, memory: 4242, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0470, loss_cls: 0.2477, acc: 91.7219, loss_bbox: 0.2851, loss_mask: 0.2776, loss: 0.9005 2023-11-14 12:17:05,417 - mmdet - INFO - Epoch [1][5600/7330] lr: 1.000e-04, eta: 18:24:11, time: 0.257, data_time: 0.014, memory: 4242, loss_rpn_cls: 0.0492, loss_rpn_bbox: 0.0477, loss_cls: 0.2546, acc: 91.7686, loss_bbox: 0.2868, loss_mask: 0.2874, loss: 0.9257 2023-11-14 12:17:17,971 - mmdet - INFO - Epoch [1][5650/7330] lr: 1.000e-04, eta: 18:23:46, time: 0.251, data_time: 0.014, memory: 4242, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0463, loss_cls: 0.2451, acc: 91.9497, loss_bbox: 0.2799, loss_mask: 0.2750, loss: 0.8884 2023-11-14 12:17:30,959 - mmdet - INFO - Epoch [1][5700/7330] lr: 1.000e-04, eta: 18:23:41, time: 0.260, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0463, loss_rpn_bbox: 0.0474, loss_cls: 0.2504, acc: 91.7771, loss_bbox: 0.2862, loss_mask: 0.2766, loss: 0.9069 2023-11-14 12:17:43,785 - mmdet - INFO - Epoch [1][5750/7330] lr: 1.000e-04, eta: 18:23:28, time: 0.257, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0484, loss_cls: 0.2512, acc: 91.7300, loss_bbox: 0.2842, loss_mask: 0.2751, loss: 0.9031 2023-11-14 12:17:56,456 - mmdet - INFO - Epoch [1][5800/7330] lr: 1.000e-04, eta: 18:23:08, time: 0.253, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0473, loss_rpn_bbox: 0.0445, loss_cls: 0.2375, acc: 92.3320, loss_bbox: 0.2681, loss_mask: 0.2686, loss: 0.8661 2023-11-14 12:18:09,161 - mmdet - INFO - Epoch [1][5850/7330] lr: 1.000e-04, eta: 18:22:50, time: 0.254, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0495, loss_rpn_bbox: 0.0486, loss_cls: 0.2503, acc: 91.8630, loss_bbox: 0.2812, loss_mask: 0.2768, loss: 0.9064 2023-11-14 12:18:21,728 - mmdet - INFO - Epoch [1][5900/7330] lr: 1.000e-04, eta: 18:22:26, time: 0.251, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0464, loss_rpn_bbox: 0.0479, loss_cls: 0.2368, acc: 92.1470, loss_bbox: 0.2728, loss_mask: 0.2736, loss: 0.8775 2023-11-14 12:18:34,294 - mmdet - INFO - Epoch [1][5950/7330] lr: 1.000e-04, eta: 18:22:02, time: 0.251, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0507, loss_rpn_bbox: 0.0503, loss_cls: 0.2613, acc: 91.4358, loss_bbox: 0.2944, loss_mask: 0.2866, loss: 0.9432 2023-11-14 12:18:47,021 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 12:18:47,021 - mmdet - INFO - Epoch [1][6000/7330] lr: 1.000e-04, eta: 18:21:46, time: 0.255, data_time: 0.015, memory: 4242, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0450, loss_cls: 0.2421, acc: 92.1458, loss_bbox: 0.2691, loss_mask: 0.2733, loss: 0.8735 2023-11-14 12:18:59,946 - mmdet - INFO - Epoch [1][6050/7330] lr: 1.000e-04, eta: 18:21:37, time: 0.258, data_time: 0.014, memory: 4242, loss_rpn_cls: 0.0474, loss_rpn_bbox: 0.0489, loss_cls: 0.2452, acc: 91.9487, loss_bbox: 0.2806, loss_mask: 0.2783, loss: 0.9003 2023-11-14 12:19:12,800 - mmdet - INFO - Epoch [1][6100/7330] lr: 1.000e-04, eta: 18:21:26, time: 0.257, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0433, loss_cls: 0.2390, acc: 92.1902, loss_bbox: 0.2674, loss_mask: 0.2736, loss: 0.8680 2023-11-14 12:19:25,548 - mmdet - INFO - Epoch [1][6150/7330] lr: 1.000e-04, eta: 18:21:10, time: 0.255, data_time: 0.015, memory: 4242, loss_rpn_cls: 0.0455, loss_rpn_bbox: 0.0484, loss_cls: 0.2728, acc: 91.0562, loss_bbox: 0.2970, loss_mask: 0.2775, loss: 0.9412 2023-11-14 12:19:38,271 - mmdet - INFO - Epoch [1][6200/7330] lr: 1.000e-04, eta: 18:20:53, time: 0.254, data_time: 0.011, memory: 4242, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0433, loss_cls: 0.2350, acc: 92.1277, loss_bbox: 0.2724, loss_mask: 0.2714, loss: 0.8644 2023-11-14 12:19:51,130 - mmdet - INFO - Epoch [1][6250/7330] lr: 1.000e-04, eta: 18:20:42, time: 0.257, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0473, loss_cls: 0.2480, acc: 91.6907, loss_bbox: 0.2899, loss_mask: 0.2773, loss: 0.9068 2023-11-14 12:20:04,283 - mmdet - INFO - Epoch [1][6300/7330] lr: 1.000e-04, eta: 18:20:43, time: 0.263, data_time: 0.014, memory: 4242, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0439, loss_cls: 0.2498, acc: 91.8540, loss_bbox: 0.2779, loss_mask: 0.2772, loss: 0.8918 2023-11-14 12:20:16,824 - mmdet - INFO - Epoch [1][6350/7330] lr: 1.000e-04, eta: 18:20:19, time: 0.251, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0451, loss_cls: 0.2486, acc: 91.8489, loss_bbox: 0.2811, loss_mask: 0.2793, loss: 0.8975 2023-11-14 12:20:29,614 - mmdet - INFO - Epoch [1][6400/7330] lr: 1.000e-04, eta: 18:20:05, time: 0.256, data_time: 0.014, memory: 4242, loss_rpn_cls: 0.0459, loss_rpn_bbox: 0.0482, loss_cls: 0.2491, acc: 91.6833, loss_bbox: 0.2866, loss_mask: 0.2817, loss: 0.9114 2023-11-14 12:20:42,476 - mmdet - INFO - Epoch [1][6450/7330] lr: 1.000e-04, eta: 18:19:54, time: 0.257, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0446, loss_cls: 0.2445, acc: 92.0232, loss_bbox: 0.2744, loss_mask: 0.2753, loss: 0.8823 2023-11-14 12:20:55,129 - mmdet - INFO - Epoch [1][6500/7330] lr: 1.000e-04, eta: 18:19:35, time: 0.253, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0450, loss_rpn_bbox: 0.0433, loss_cls: 0.2335, acc: 92.2036, loss_bbox: 0.2664, loss_mask: 0.2691, loss: 0.8573 2023-11-14 12:21:08,124 - mmdet - INFO - Epoch [1][6550/7330] lr: 1.000e-04, eta: 18:19:29, time: 0.260, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0453, loss_rpn_bbox: 0.0481, loss_cls: 0.2511, acc: 91.5759, loss_bbox: 0.2855, loss_mask: 0.2780, loss: 0.9081 2023-11-14 12:21:20,985 - mmdet - INFO - Epoch [1][6600/7330] lr: 1.000e-04, eta: 18:19:18, time: 0.257, data_time: 0.011, memory: 4242, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0462, loss_cls: 0.2458, acc: 91.8516, loss_bbox: 0.2776, loss_mask: 0.2736, loss: 0.8865 2023-11-14 12:21:33,535 - mmdet - INFO - Epoch [1][6650/7330] lr: 1.000e-04, eta: 18:18:55, time: 0.251, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0460, loss_cls: 0.2485, acc: 91.8701, loss_bbox: 0.2852, loss_mask: 0.2764, loss: 0.9010 2023-11-14 12:21:45,985 - mmdet - INFO - Epoch [1][6700/7330] lr: 1.000e-04, eta: 18:18:28, time: 0.249, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0436, loss_rpn_bbox: 0.0445, loss_cls: 0.2434, acc: 91.9724, loss_bbox: 0.2770, loss_mask: 0.2785, loss: 0.8871 2023-11-14 12:21:58,831 - mmdet - INFO - Epoch [1][6750/7330] lr: 1.000e-04, eta: 18:18:16, time: 0.257, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0441, loss_rpn_bbox: 0.0464, loss_cls: 0.2498, acc: 91.7134, loss_bbox: 0.2839, loss_mask: 0.2782, loss: 0.9025 2023-11-14 12:22:11,557 - mmdet - INFO - Epoch [1][6800/7330] lr: 1.000e-04, eta: 18:18:00, time: 0.255, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0445, loss_cls: 0.2443, acc: 91.9565, loss_bbox: 0.2736, loss_mask: 0.2776, loss: 0.8816 2023-11-14 12:22:24,347 - mmdet - INFO - Epoch [1][6850/7330] lr: 1.000e-04, eta: 18:17:46, time: 0.256, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0462, loss_cls: 0.2628, acc: 91.3865, loss_bbox: 0.2914, loss_mask: 0.2744, loss: 0.9185 2023-11-14 12:22:37,148 - mmdet - INFO - Epoch [1][6900/7330] lr: 1.000e-04, eta: 18:17:33, time: 0.256, data_time: 0.013, memory: 4242, loss_rpn_cls: 0.0447, loss_rpn_bbox: 0.0463, loss_cls: 0.2368, acc: 92.0859, loss_bbox: 0.2688, loss_mask: 0.2666, loss: 0.8632 2023-11-14 12:22:50,036 - mmdet - INFO - Epoch [1][6950/7330] lr: 1.000e-04, eta: 18:17:23, time: 0.258, data_time: 0.011, memory: 4242, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0443, loss_cls: 0.2420, acc: 91.9055, loss_bbox: 0.2758, loss_mask: 0.2758, loss: 0.8813 2023-11-14 12:23:02,688 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 12:23:02,688 - mmdet - INFO - Epoch [1][7000/7330] lr: 1.000e-04, eta: 18:17:04, time: 0.253, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0428, loss_rpn_bbox: 0.0446, loss_cls: 0.2454, acc: 91.8440, loss_bbox: 0.2769, loss_mask: 0.2752, loss: 0.8849 2023-11-14 12:23:15,084 - mmdet - INFO - Epoch [1][7050/7330] lr: 1.000e-04, eta: 18:16:36, time: 0.248, data_time: 0.014, memory: 4242, loss_rpn_cls: 0.0476, loss_rpn_bbox: 0.0467, loss_cls: 0.2553, acc: 91.6912, loss_bbox: 0.2840, loss_mask: 0.2819, loss: 0.9155 2023-11-14 12:23:27,937 - mmdet - INFO - Epoch [1][7100/7330] lr: 1.000e-04, eta: 18:16:25, time: 0.257, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0458, loss_cls: 0.2418, acc: 91.9543, loss_bbox: 0.2765, loss_mask: 0.2761, loss: 0.8795 2023-11-14 12:23:40,477 - mmdet - INFO - Epoch [1][7150/7330] lr: 1.000e-04, eta: 18:16:02, time: 0.251, data_time: 0.012, memory: 4242, loss_rpn_cls: 0.0438, loss_rpn_bbox: 0.0463, loss_cls: 0.2491, acc: 91.7070, loss_bbox: 0.2832, loss_mask: 0.2762, loss: 0.8987 2023-11-14 12:23:53,115 - mmdet - INFO - Epoch [1][7200/7330] lr: 1.000e-04, eta: 18:15:44, time: 0.253, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0451, loss_rpn_bbox: 0.0459, loss_cls: 0.2564, acc: 91.5132, loss_bbox: 0.2838, loss_mask: 0.2830, loss: 0.9141 2023-11-14 12:24:05,910 - mmdet - INFO - Epoch [1][7250/7330] lr: 1.000e-04, eta: 18:15:30, time: 0.256, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0439, loss_cls: 0.2381, acc: 92.2622, loss_bbox: 0.2654, loss_mask: 0.2692, loss: 0.8580 2023-11-14 12:24:18,536 - mmdet - INFO - Epoch [1][7300/7330] lr: 1.000e-04, eta: 18:15:11, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0422, loss_cls: 0.2405, acc: 92.0669, loss_bbox: 0.2711, loss_mask: 0.2700, loss: 0.8650 2023-11-14 12:24:26,797 - mmdet - INFO - Saving checkpoint at 1 epochs 2023-11-14 12:25:16,127 - mmdet - INFO - Evaluating bbox... 2023-11-14 12:25:52,692 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.348 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.588 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.373 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.220 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.386 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.445 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.493 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.493 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.493 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.332 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.537 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.618 2023-11-14 12:25:52,695 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.500 | bicycle | 0.247 | car | 0.378 | | motorcycle | 0.349 | airplane | 0.550 | bus | 0.594 | | train | 0.541 | truck | 0.314 | boat | 0.229 | | traffic light | 0.244 | fire hydrant | 0.591 | stop sign | 0.534 | | parking meter | 0.416 | bench | 0.181 | bird | 0.334 | | cat | 0.596 | dog | 0.562 | horse | 0.474 | | sheep | 0.422 | cow | 0.499 | elephant | 0.560 | | bear | 0.668 | zebra | 0.592 | giraffe | 0.592 | | backpack | 0.117 | umbrella | 0.321 | handbag | 0.102 | | tie | 0.235 | suitcase | 0.296 | frisbee | 0.593 | | skis | 0.169 | snowboard | 0.222 | sports ball | 0.387 | | kite | 0.387 | baseball bat | 0.229 | baseball glove | 0.340 | | skateboard | 0.410 | surfboard | 0.271 | tennis racket | 0.336 | | bottle | 0.343 | wine glass | 0.259 | cup | 0.401 | | fork | 0.195 | knife | 0.115 | spoon | 0.145 | | bowl | 0.368 | banana | 0.182 | apple | 0.155 | | sandwich | 0.323 | orange | 0.285 | broccoli | 0.204 | | carrot | 0.172 | hot dog | 0.253 | pizza | 0.478 | | donut | 0.428 | cake | 0.318 | chair | 0.235 | | couch | 0.343 | potted plant | 0.200 | bed | 0.366 | | dining table | 0.201 | toilet | 0.521 | tv | 0.514 | | laptop | 0.476 | mouse | 0.531 | remote | 0.219 | | keyboard | 0.457 | cell phone | 0.336 | microwave | 0.516 | | oven | 0.270 | toaster | 0.218 | sink | 0.321 | | refrigerator | 0.469 | book | 0.113 | clock | 0.484 | | vase | 0.368 | scissors | 0.177 | teddy bear | 0.397 | | hair drier | 0.031 | toothbrush | 0.064 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 12:25:52,695 - mmdet - INFO - Evaluating segm... 2023-11-14 12:26:33,139 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.331 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.553 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.346 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.162 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.366 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.481 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.287 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.510 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.608 2023-11-14 12:26:33,141 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.426 | bicycle | 0.140 | car | 0.352 | | motorcycle | 0.275 | airplane | 0.443 | bus | 0.593 | | train | 0.560 | truck | 0.322 | boat | 0.213 | | traffic light | 0.241 | fire hydrant | 0.618 | stop sign | 0.570 | | parking meter | 0.432 | bench | 0.141 | bird | 0.273 | | cat | 0.654 | dog | 0.546 | horse | 0.347 | | sheep | 0.370 | cow | 0.440 | elephant | 0.531 | | bear | 0.704 | zebra | 0.480 | giraffe | 0.428 | | backpack | 0.130 | umbrella | 0.427 | handbag | 0.117 | | tie | 0.245 | suitcase | 0.325 | frisbee | 0.604 | | skis | 0.006 | snowboard | 0.136 | sports ball | 0.391 | | kite | 0.282 | baseball bat | 0.177 | baseball glove | 0.372 | | skateboard | 0.209 | surfboard | 0.237 | tennis racket | 0.475 | | bottle | 0.334 | wine glass | 0.254 | cup | 0.418 | | fork | 0.076 | knife | 0.072 | spoon | 0.086 | | bowl | 0.364 | banana | 0.150 | apple | 0.155 | | sandwich | 0.351 | orange | 0.315 | broccoli | 0.203 | | carrot | 0.144 | hot dog | 0.199 | pizza | 0.488 | | donut | 0.451 | cake | 0.340 | chair | 0.171 | | couch | 0.312 | potted plant | 0.181 | bed | 0.288 | | dining table | 0.098 | toilet | 0.567 | tv | 0.564 | | laptop | 0.544 | mouse | 0.554 | remote | 0.218 | | keyboard | 0.459 | cell phone | 0.333 | microwave | 0.559 | | oven | 0.276 | toaster | 0.264 | sink | 0.328 | | refrigerator | 0.535 | book | 0.075 | clock | 0.491 | | vase | 0.362 | scissors | 0.155 | teddy bear | 0.389 | | hair drier | 0.026 | toothbrush | 0.074 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 12:26:35,207 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_1.pth. 2023-11-14 12:26:35,208 - mmdet - INFO - Best bbox_mAP is 0.3479 at 1 epoch. 2023-11-14 12:26:35,208 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 12:26:35,208 - mmdet - INFO - Epoch(val) [1][625] bbox_mAP: 0.3479, bbox_mAP_50: 0.5879, bbox_mAP_75: 0.3728, bbox_mAP_s: 0.2195, bbox_mAP_m: 0.3859, bbox_mAP_l: 0.4447, bbox_mAP_copypaste: 0.3479 0.5879 0.3728 0.2195 0.3859 0.4447, segm_mAP: 0.3307, segm_mAP_50: 0.5535, segm_mAP_75: 0.3460, segm_mAP_s: 0.1619, segm_mAP_m: 0.3655, segm_mAP_l: 0.4813, segm_mAP_copypaste: 0.3307 0.5535 0.3460 0.1619 0.3655 0.4813 2023-11-14 12:26:51,438 - mmdet - INFO - Epoch [2][50/7330] lr: 1.000e-04, eta: 18:12:22, time: 0.324, data_time: 0.074, memory: 4452, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0449, loss_cls: 0.2323, acc: 92.2473, loss_bbox: 0.2632, loss_mask: 0.2693, loss: 0.8490 2023-11-14 12:27:04,715 - mmdet - INFO - Epoch [2][100/7330] lr: 1.000e-04, eta: 18:12:27, time: 0.266, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0454, loss_rpn_bbox: 0.0449, loss_cls: 0.2419, acc: 91.9331, loss_bbox: 0.2756, loss_mask: 0.2711, loss: 0.8789 2023-11-14 12:27:18,095 - mmdet - INFO - Epoch [2][150/7330] lr: 1.000e-04, eta: 18:12:35, time: 0.268, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0465, loss_rpn_bbox: 0.0491, loss_cls: 0.2429, acc: 91.6855, loss_bbox: 0.2865, loss_mask: 0.2792, loss: 0.9041 2023-11-14 12:27:31,182 - mmdet - INFO - Epoch [2][200/7330] lr: 1.000e-04, eta: 18:12:32, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0439, loss_cls: 0.2364, acc: 92.0466, loss_bbox: 0.2730, loss_mask: 0.2627, loss: 0.8578 2023-11-14 12:27:44,317 - mmdet - INFO - Epoch [2][250/7330] lr: 1.000e-04, eta: 18:12:31, time: 0.263, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0437, loss_cls: 0.2395, acc: 91.9377, loss_bbox: 0.2752, loss_mask: 0.2696, loss: 0.8697 2023-11-14 12:27:57,551 - mmdet - INFO - Epoch [2][300/7330] lr: 1.000e-04, eta: 18:12:33, time: 0.265, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0426, loss_rpn_bbox: 0.0450, loss_cls: 0.2409, acc: 91.9285, loss_bbox: 0.2800, loss_mask: 0.2673, loss: 0.8758 2023-11-14 12:28:10,799 - mmdet - INFO - Epoch [2][350/7330] lr: 1.000e-04, eta: 18:12:36, time: 0.265, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0403, loss_rpn_bbox: 0.0449, loss_cls: 0.2354, acc: 92.1042, loss_bbox: 0.2748, loss_mask: 0.2668, loss: 0.8622 2023-11-14 12:28:24,133 - mmdet - INFO - Epoch [2][400/7330] lr: 1.000e-04, eta: 18:12:41, time: 0.267, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0458, loss_cls: 0.2411, acc: 92.0359, loss_bbox: 0.2738, loss_mask: 0.2722, loss: 0.8743 2023-11-14 12:28:37,197 - mmdet - INFO - Epoch [2][450/7330] lr: 1.000e-04, eta: 18:12:37, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0419, loss_cls: 0.2274, acc: 92.3931, loss_bbox: 0.2639, loss_mask: 0.2585, loss: 0.8322 2023-11-14 12:28:50,253 - mmdet - INFO - Epoch [2][500/7330] lr: 1.000e-04, eta: 18:12:32, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0449, loss_cls: 0.2362, acc: 92.0281, loss_bbox: 0.2710, loss_mask: 0.2688, loss: 0.8620 2023-11-14 12:29:03,688 - mmdet - INFO - Epoch [2][550/7330] lr: 1.000e-04, eta: 18:12:40, time: 0.269, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0443, loss_cls: 0.2310, acc: 92.3882, loss_bbox: 0.2661, loss_mask: 0.2731, loss: 0.8576 2023-11-14 12:29:16,724 - mmdet - INFO - Epoch [2][600/7330] lr: 1.000e-04, eta: 18:12:35, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0416, loss_cls: 0.2224, acc: 92.4268, loss_bbox: 0.2655, loss_mask: 0.2602, loss: 0.8289 2023-11-14 12:29:29,977 - mmdet - INFO - Epoch [2][650/7330] lr: 1.000e-04, eta: 18:12:36, time: 0.265, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0434, loss_cls: 0.2342, acc: 92.1367, loss_bbox: 0.2692, loss_mask: 0.2659, loss: 0.8535 2023-11-14 12:29:43,124 - mmdet - INFO - Epoch [2][700/7330] lr: 1.000e-04, eta: 18:12:34, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0422, loss_cls: 0.2363, acc: 92.2832, loss_bbox: 0.2648, loss_mask: 0.2656, loss: 0.8502 2023-11-14 12:29:56,143 - mmdet - INFO - Epoch [2][750/7330] lr: 1.000e-04, eta: 18:12:28, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0437, loss_cls: 0.2384, acc: 91.9392, loss_bbox: 0.2790, loss_mask: 0.2676, loss: 0.8681 2023-11-14 12:30:09,018 - mmdet - INFO - Epoch [2][800/7330] lr: 1.000e-04, eta: 18:12:17, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0418, loss_cls: 0.2307, acc: 92.3086, loss_bbox: 0.2634, loss_mask: 0.2713, loss: 0.8463 2023-11-14 12:30:22,031 - mmdet - INFO - Epoch [2][850/7330] lr: 1.000e-04, eta: 18:12:11, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0430, loss_cls: 0.2318, acc: 92.2659, loss_bbox: 0.2705, loss_mask: 0.2674, loss: 0.8548 2023-11-14 12:30:34,663 - mmdet - INFO - Epoch [2][900/7330] lr: 1.000e-04, eta: 18:11:52, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0448, loss_cls: 0.2363, acc: 92.1389, loss_bbox: 0.2721, loss_mask: 0.2613, loss: 0.8559 2023-11-14 12:30:47,607 - mmdet - INFO - Epoch [2][950/7330] lr: 1.000e-04, eta: 18:11:43, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0432, loss_cls: 0.2364, acc: 92.0347, loss_bbox: 0.2767, loss_mask: 0.2710, loss: 0.8672 2023-11-14 12:31:00,493 - mmdet - INFO - Epoch [2][1000/7330] lr: 1.000e-04, eta: 18:11:33, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0438, loss_cls: 0.2398, acc: 92.0278, loss_bbox: 0.2737, loss_mask: 0.2742, loss: 0.8721 2023-11-14 12:31:13,256 - mmdet - INFO - Epoch [2][1050/7330] lr: 1.000e-04, eta: 18:11:18, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0412, loss_rpn_bbox: 0.0404, loss_cls: 0.2260, acc: 92.5068, loss_bbox: 0.2588, loss_mask: 0.2662, loss: 0.8327 2023-11-14 12:31:26,671 - mmdet - INFO - Epoch [2][1100/7330] lr: 1.000e-04, eta: 18:11:24, time: 0.268, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0431, loss_rpn_bbox: 0.0468, loss_cls: 0.2413, acc: 91.8645, loss_bbox: 0.2822, loss_mask: 0.2725, loss: 0.8860 2023-11-14 12:31:39,640 - mmdet - INFO - Epoch [2][1150/7330] lr: 1.000e-04, eta: 18:11:15, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0461, loss_cls: 0.2414, acc: 91.9319, loss_bbox: 0.2761, loss_mask: 0.2721, loss: 0.8778 2023-11-14 12:31:52,296 - mmdet - INFO - Epoch [2][1200/7330] lr: 1.000e-04, eta: 18:10:58, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0448, loss_rpn_bbox: 0.0475, loss_cls: 0.2408, acc: 91.8760, loss_bbox: 0.2796, loss_mask: 0.2704, loss: 0.8831 2023-11-14 12:32:05,249 - mmdet - INFO - Epoch [2][1250/7330] lr: 1.000e-04, eta: 18:10:49, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0418, loss_cls: 0.2275, acc: 92.4155, loss_bbox: 0.2643, loss_mask: 0.2641, loss: 0.8363 2023-11-14 12:32:18,129 - mmdet - INFO - Epoch [2][1300/7330] lr: 1.000e-04, eta: 18:10:38, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0440, loss_cls: 0.2271, acc: 92.2039, loss_bbox: 0.2715, loss_mask: 0.2640, loss: 0.8464 2023-11-14 12:32:31,390 - mmdet - INFO - Epoch [2][1350/7330] lr: 1.000e-04, eta: 18:10:38, time: 0.265, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0451, loss_cls: 0.2410, acc: 91.9448, loss_bbox: 0.2733, loss_mask: 0.2677, loss: 0.8690 2023-11-14 12:32:44,475 - mmdet - INFO - Epoch [2][1400/7330] lr: 1.000e-04, eta: 18:10:33, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0450, loss_cls: 0.2424, acc: 91.7549, loss_bbox: 0.2757, loss_mask: 0.2677, loss: 0.8717 2023-11-14 12:32:57,348 - mmdet - INFO - Epoch [2][1450/7330] lr: 1.000e-04, eta: 18:10:22, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0420, loss_rpn_bbox: 0.0434, loss_cls: 0.2201, acc: 92.5498, loss_bbox: 0.2575, loss_mask: 0.2665, loss: 0.8295 2023-11-14 12:33:10,446 - mmdet - INFO - Epoch [2][1500/7330] lr: 1.000e-04, eta: 18:10:17, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0431, loss_cls: 0.2299, acc: 92.2014, loss_bbox: 0.2726, loss_mask: 0.2659, loss: 0.8500 2023-11-14 12:33:23,329 - mmdet - INFO - Epoch [2][1550/7330] lr: 1.000e-04, eta: 18:10:05, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0404, loss_rpn_bbox: 0.0418, loss_cls: 0.2296, acc: 92.2371, loss_bbox: 0.2663, loss_mask: 0.2587, loss: 0.8368 2023-11-14 12:33:36,164 - mmdet - INFO - Epoch [2][1600/7330] lr: 1.000e-04, eta: 18:09:53, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0434, loss_cls: 0.2300, acc: 92.2852, loss_bbox: 0.2708, loss_mask: 0.2598, loss: 0.8456 2023-11-14 12:33:49,024 - mmdet - INFO - Epoch [2][1650/7330] lr: 1.000e-04, eta: 18:09:41, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0435, loss_rpn_bbox: 0.0453, loss_cls: 0.2347, acc: 92.0532, loss_bbox: 0.2734, loss_mask: 0.2728, loss: 0.8697 2023-11-14 12:34:01,953 - mmdet - INFO - Epoch [2][1700/7330] lr: 1.000e-04, eta: 18:09:31, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0448, loss_cls: 0.2363, acc: 91.8840, loss_bbox: 0.2832, loss_mask: 0.2675, loss: 0.8728 2023-11-14 12:34:15,179 - mmdet - INFO - Epoch [2][1750/7330] lr: 1.000e-04, eta: 18:09:30, time: 0.264, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0471, loss_cls: 0.2445, acc: 91.7278, loss_bbox: 0.2791, loss_mask: 0.2783, loss: 0.8907 2023-11-14 12:34:28,065 - mmdet - INFO - Epoch [2][1800/7330] lr: 1.000e-04, eta: 18:09:18, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0434, loss_rpn_bbox: 0.0465, loss_cls: 0.2318, acc: 92.1484, loss_bbox: 0.2689, loss_mask: 0.2675, loss: 0.8582 2023-11-14 12:34:41,193 - mmdet - INFO - Epoch [2][1850/7330] lr: 1.000e-04, eta: 18:09:14, time: 0.263, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0419, loss_rpn_bbox: 0.0475, loss_cls: 0.2449, acc: 91.7222, loss_bbox: 0.2867, loss_mask: 0.2726, loss: 0.8936 2023-11-14 12:34:54,100 - mmdet - INFO - Epoch [2][1900/7330] lr: 1.000e-04, eta: 18:09:03, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0452, loss_cls: 0.2328, acc: 92.1084, loss_bbox: 0.2717, loss_mask: 0.2602, loss: 0.8513 2023-11-14 12:35:06,942 - mmdet - INFO - Epoch [2][1950/7330] lr: 1.000e-04, eta: 18:08:51, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0453, loss_cls: 0.2421, acc: 91.8711, loss_bbox: 0.2720, loss_mask: 0.2670, loss: 0.8679 2023-11-14 12:35:19,757 - mmdet - INFO - Epoch [2][2000/7330] lr: 1.000e-04, eta: 18:08:37, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0417, loss_rpn_bbox: 0.0458, loss_cls: 0.2368, acc: 92.0686, loss_bbox: 0.2830, loss_mask: 0.2695, loss: 0.8769 2023-11-14 12:35:32,838 - mmdet - INFO - Epoch [2][2050/7330] lr: 1.000e-04, eta: 18:08:31, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0405, loss_rpn_bbox: 0.0428, loss_cls: 0.2221, acc: 92.4819, loss_bbox: 0.2619, loss_mask: 0.2644, loss: 0.8316 2023-11-14 12:35:45,665 - mmdet - INFO - Epoch [2][2100/7330] lr: 1.000e-04, eta: 18:08:18, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0427, loss_rpn_bbox: 0.0436, loss_cls: 0.2299, acc: 92.2039, loss_bbox: 0.2681, loss_mask: 0.2628, loss: 0.8471 2023-11-14 12:35:58,459 - mmdet - INFO - Epoch [2][2150/7330] lr: 1.000e-04, eta: 18:08:05, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0431, loss_cls: 0.2317, acc: 92.1855, loss_bbox: 0.2678, loss_mask: 0.2656, loss: 0.8498 2023-11-14 12:36:11,799 - mmdet - INFO - Epoch [2][2200/7330] lr: 1.000e-04, eta: 18:08:05, time: 0.267, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0439, loss_cls: 0.2372, acc: 91.9585, loss_bbox: 0.2767, loss_mask: 0.2702, loss: 0.8680 2023-11-14 12:36:24,829 - mmdet - INFO - Epoch [2][2250/7330] lr: 1.000e-04, eta: 18:07:58, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0410, loss_rpn_bbox: 0.0439, loss_cls: 0.2332, acc: 92.1172, loss_bbox: 0.2727, loss_mask: 0.2683, loss: 0.8591 2023-11-14 12:36:37,398 - mmdet - INFO - Epoch [2][2300/7330] lr: 1.000e-04, eta: 18:07:38, time: 0.251, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0416, loss_cls: 0.2198, acc: 92.6145, loss_bbox: 0.2568, loss_mask: 0.2572, loss: 0.8130 2023-11-14 12:36:49,970 - mmdet - INFO - Epoch [2][2350/7330] lr: 1.000e-04, eta: 18:07:18, time: 0.251, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0415, loss_cls: 0.2348, acc: 92.2219, loss_bbox: 0.2614, loss_mask: 0.2650, loss: 0.8399 2023-11-14 12:37:02,875 - mmdet - INFO - Epoch [2][2400/7330] lr: 1.000e-04, eta: 18:07:07, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0418, loss_rpn_bbox: 0.0444, loss_cls: 0.2293, acc: 92.3572, loss_bbox: 0.2611, loss_mask: 0.2585, loss: 0.8351 2023-11-14 12:37:15,910 - mmdet - INFO - Epoch [2][2450/7330] lr: 1.000e-04, eta: 18:07:00, time: 0.261, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0435, loss_cls: 0.2343, acc: 92.1626, loss_bbox: 0.2634, loss_mask: 0.2619, loss: 0.8430 2023-11-14 12:37:28,914 - mmdet - INFO - Epoch [2][2500/7330] lr: 1.000e-04, eta: 18:06:51, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0444, loss_rpn_bbox: 0.0471, loss_cls: 0.2425, acc: 91.8713, loss_bbox: 0.2771, loss_mask: 0.2684, loss: 0.8796 2023-11-14 12:37:41,938 - mmdet - INFO - Epoch [2][2550/7330] lr: 1.000e-04, eta: 18:06:43, time: 0.261, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0432, loss_rpn_bbox: 0.0442, loss_cls: 0.2225, acc: 92.5161, loss_bbox: 0.2605, loss_mask: 0.2597, loss: 0.8300 2023-11-14 12:37:54,787 - mmdet - INFO - Epoch [2][2600/7330] lr: 1.000e-04, eta: 18:06:31, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0407, loss_cls: 0.2222, acc: 92.4360, loss_bbox: 0.2639, loss_mask: 0.2610, loss: 0.8256 2023-11-14 12:38:07,556 - mmdet - INFO - Epoch [2][2650/7330] lr: 1.000e-04, eta: 18:06:16, time: 0.255, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0413, loss_cls: 0.2286, acc: 92.3281, loss_bbox: 0.2631, loss_mask: 0.2589, loss: 0.8305 2023-11-14 12:38:20,579 - mmdet - INFO - Epoch [2][2700/7330] lr: 1.000e-04, eta: 18:06:08, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0437, loss_cls: 0.2410, acc: 91.8918, loss_bbox: 0.2778, loss_mask: 0.2648, loss: 0.8679 2023-11-14 12:38:33,373 - mmdet - INFO - Epoch [2][2750/7330] lr: 1.000e-04, eta: 18:05:54, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0405, loss_cls: 0.2281, acc: 92.3428, loss_bbox: 0.2616, loss_mask: 0.2562, loss: 0.8245 2023-11-14 12:38:46,473 - mmdet - INFO - Epoch [2][2800/7330] lr: 1.000e-04, eta: 18:05:48, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0420, loss_cls: 0.2365, acc: 92.0615, loss_bbox: 0.2720, loss_mask: 0.2619, loss: 0.8520 2023-11-14 12:38:59,402 - mmdet - INFO - Epoch [2][2850/7330] lr: 1.000e-04, eta: 18:05:37, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0404, loss_rpn_bbox: 0.0432, loss_cls: 0.2424, acc: 91.7739, loss_bbox: 0.2783, loss_mask: 0.2658, loss: 0.8701 2023-11-14 12:39:12,019 - mmdet - INFO - Epoch [2][2900/7330] lr: 1.000e-04, eta: 18:05:19, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0422, loss_rpn_bbox: 0.0456, loss_cls: 0.2332, acc: 92.1536, loss_bbox: 0.2715, loss_mask: 0.2705, loss: 0.8630 2023-11-14 12:39:24,761 - mmdet - INFO - Epoch [2][2950/7330] lr: 1.000e-04, eta: 18:05:04, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0435, loss_cls: 0.2307, acc: 92.2368, loss_bbox: 0.2693, loss_mask: 0.2686, loss: 0.8513 2023-11-14 12:39:37,446 - mmdet - INFO - Epoch [2][3000/7330] lr: 1.000e-04, eta: 18:04:47, time: 0.254, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0444, loss_cls: 0.2379, acc: 92.1177, loss_bbox: 0.2671, loss_mask: 0.2621, loss: 0.8522 2023-11-14 12:39:50,594 - mmdet - INFO - Epoch [2][3050/7330] lr: 1.000e-04, eta: 18:04:42, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0408, loss_rpn_bbox: 0.0445, loss_cls: 0.2343, acc: 92.0813, loss_bbox: 0.2720, loss_mask: 0.2569, loss: 0.8485 2023-11-14 12:40:03,215 - mmdet - INFO - Epoch [2][3100/7330] lr: 1.000e-04, eta: 18:04:24, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0447, loss_cls: 0.2289, acc: 92.1877, loss_bbox: 0.2709, loss_mask: 0.2650, loss: 0.8484 2023-11-14 12:40:16,144 - mmdet - INFO - Epoch [2][3150/7330] lr: 1.000e-04, eta: 18:04:13, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0415, loss_rpn_bbox: 0.0446, loss_cls: 0.2256, acc: 92.3699, loss_bbox: 0.2659, loss_mask: 0.2549, loss: 0.8324 2023-11-14 12:40:29,018 - mmdet - INFO - Epoch [2][3200/7330] lr: 1.000e-04, eta: 18:04:01, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0440, loss_cls: 0.2282, acc: 92.3267, loss_bbox: 0.2665, loss_mask: 0.2596, loss: 0.8371 2023-11-14 12:40:41,995 - mmdet - INFO - Epoch [2][3250/7330] lr: 1.000e-04, eta: 18:03:52, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0461, loss_rpn_bbox: 0.0473, loss_cls: 0.2388, acc: 91.9705, loss_bbox: 0.2741, loss_mask: 0.2629, loss: 0.8692 2023-11-14 12:40:54,989 - mmdet - INFO - Epoch [2][3300/7330] lr: 1.000e-04, eta: 18:03:43, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0421, loss_rpn_bbox: 0.0449, loss_cls: 0.2355, acc: 92.1406, loss_bbox: 0.2692, loss_mask: 0.2693, loss: 0.8609 2023-11-14 12:41:07,666 - mmdet - INFO - Epoch [2][3350/7330] lr: 1.000e-04, eta: 18:03:26, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0431, loss_cls: 0.2283, acc: 92.2703, loss_bbox: 0.2637, loss_mask: 0.2569, loss: 0.8321 2023-11-14 12:41:20,350 - mmdet - INFO - Epoch [2][3400/7330] lr: 1.000e-04, eta: 18:03:10, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0426, loss_cls: 0.2380, acc: 91.9041, loss_bbox: 0.2747, loss_mask: 0.2603, loss: 0.8553 2023-11-14 12:41:33,199 - mmdet - INFO - Epoch [2][3450/7330] lr: 1.000e-04, eta: 18:02:57, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0409, loss_cls: 0.2217, acc: 92.4119, loss_bbox: 0.2588, loss_mask: 0.2559, loss: 0.8154 2023-11-14 12:41:46,009 - mmdet - INFO - Epoch [2][3500/7330] lr: 1.000e-04, eta: 18:02:44, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0427, loss_cls: 0.2247, acc: 92.4036, loss_bbox: 0.2639, loss_mask: 0.2571, loss: 0.8257 2023-11-14 12:41:59,028 - mmdet - INFO - Epoch [2][3550/7330] lr: 1.000e-04, eta: 18:02:35, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0407, loss_cls: 0.2321, acc: 92.2471, loss_bbox: 0.2636, loss_mask: 0.2598, loss: 0.8372 2023-11-14 12:42:12,025 - mmdet - INFO - Epoch [2][3600/7330] lr: 1.000e-04, eta: 18:02:26, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0433, loss_cls: 0.2281, acc: 92.1902, loss_bbox: 0.2693, loss_mask: 0.2594, loss: 0.8401 2023-11-14 12:42:24,793 - mmdet - INFO - Epoch [2][3650/7330] lr: 1.000e-04, eta: 18:02:12, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0413, loss_cls: 0.2247, acc: 92.3352, loss_bbox: 0.2627, loss_mask: 0.2535, loss: 0.8220 2023-11-14 12:42:37,488 - mmdet - INFO - Epoch [2][3700/7330] lr: 1.000e-04, eta: 18:01:56, time: 0.254, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0391, loss_rpn_bbox: 0.0439, loss_cls: 0.2233, acc: 92.5457, loss_bbox: 0.2553, loss_mask: 0.2586, loss: 0.8202 2023-11-14 12:42:50,542 - mmdet - INFO - Epoch [2][3750/7330] lr: 1.000e-04, eta: 18:01:48, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0439, loss_cls: 0.2181, acc: 92.6138, loss_bbox: 0.2552, loss_mask: 0.2637, loss: 0.8204 2023-11-14 12:43:03,195 - mmdet - INFO - Epoch [2][3800/7330] lr: 1.000e-04, eta: 18:01:31, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0392, loss_cls: 0.2170, acc: 92.6104, loss_bbox: 0.2481, loss_mask: 0.2583, loss: 0.7992 2023-11-14 12:43:15,956 - mmdet - INFO - Epoch [2][3850/7330] lr: 1.000e-04, eta: 18:01:16, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0414, loss_cls: 0.2175, acc: 92.7327, loss_bbox: 0.2543, loss_mask: 0.2591, loss: 0.8128 2023-11-14 12:43:28,784 - mmdet - INFO - Epoch [2][3900/7330] lr: 1.000e-04, eta: 18:01:03, time: 0.257, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0411, loss_rpn_bbox: 0.0437, loss_cls: 0.2251, acc: 92.4946, loss_bbox: 0.2625, loss_mask: 0.2616, loss: 0.8341 2023-11-14 12:43:41,502 - mmdet - INFO - Epoch [2][3950/7330] lr: 1.000e-04, eta: 18:00:47, time: 0.254, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0376, loss_cls: 0.2222, acc: 92.5459, loss_bbox: 0.2591, loss_mask: 0.2587, loss: 0.8120 2023-11-14 12:43:54,529 - mmdet - INFO - Epoch [2][4000/7330] lr: 1.000e-04, eta: 18:00:39, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0429, loss_cls: 0.2221, acc: 92.4260, loss_bbox: 0.2593, loss_mask: 0.2633, loss: 0.8274 2023-11-14 12:44:09,155 - mmdet - INFO - Epoch [2][4050/7330] lr: 1.000e-04, eta: 18:01:06, time: 0.293, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0411, loss_cls: 0.2226, acc: 92.3477, loss_bbox: 0.2597, loss_mask: 0.2617, loss: 0.8223 2023-11-14 12:44:21,779 - mmdet - INFO - Epoch [2][4100/7330] lr: 1.000e-04, eta: 18:00:48, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0423, loss_cls: 0.2258, acc: 92.4495, loss_bbox: 0.2588, loss_mask: 0.2592, loss: 0.8254 2023-11-14 12:44:37,212 - mmdet - INFO - Epoch [2][4150/7330] lr: 1.000e-04, eta: 18:01:32, time: 0.309, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0453, loss_cls: 0.2291, acc: 92.1492, loss_bbox: 0.2706, loss_mask: 0.2631, loss: 0.8470 2023-11-14 12:44:49,945 - mmdet - INFO - Epoch [2][4200/7330] lr: 1.000e-04, eta: 18:01:17, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0415, loss_cls: 0.2256, acc: 92.3542, loss_bbox: 0.2617, loss_mask: 0.2633, loss: 0.8313 2023-11-14 12:45:05,256 - mmdet - INFO - Epoch [2][4250/7330] lr: 1.000e-04, eta: 18:01:57, time: 0.306, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0400, loss_rpn_bbox: 0.0453, loss_cls: 0.2310, acc: 92.1895, loss_bbox: 0.2672, loss_mask: 0.2645, loss: 0.8479 2023-11-14 12:45:20,467 - mmdet - INFO - Epoch [2][4300/7330] lr: 1.000e-04, eta: 18:02:35, time: 0.304, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0425, loss_rpn_bbox: 0.0457, loss_cls: 0.2211, acc: 92.5530, loss_bbox: 0.2623, loss_mask: 0.2653, loss: 0.8369 2023-11-14 12:45:33,739 - mmdet - INFO - Epoch [2][4350/7330] lr: 1.000e-04, eta: 18:02:31, time: 0.265, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0433, loss_rpn_bbox: 0.0449, loss_cls: 0.2346, acc: 92.1660, loss_bbox: 0.2623, loss_mask: 0.2618, loss: 0.8469 2023-11-14 12:45:47,074 - mmdet - INFO - Epoch [2][4400/7330] lr: 1.000e-04, eta: 18:02:28, time: 0.267, data_time: 0.023, memory: 4452, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0422, loss_cls: 0.2259, acc: 92.4834, loss_bbox: 0.2627, loss_mask: 0.2583, loss: 0.8266 2023-11-14 12:45:59,992 - mmdet - INFO - Epoch [2][4450/7330] lr: 1.000e-04, eta: 18:02:16, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0441, loss_cls: 0.2315, acc: 92.2507, loss_bbox: 0.2659, loss_mask: 0.2581, loss: 0.8397 2023-11-14 12:46:12,826 - mmdet - INFO - Epoch [2][4500/7330] lr: 1.000e-04, eta: 18:02:02, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0409, loss_rpn_bbox: 0.0449, loss_cls: 0.2321, acc: 92.1418, loss_bbox: 0.2626, loss_mask: 0.2640, loss: 0.8445 2023-11-14 12:46:25,557 - mmdet - INFO - Epoch [2][4550/7330] lr: 1.000e-04, eta: 18:01:46, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0413, loss_rpn_bbox: 0.0440, loss_cls: 0.2354, acc: 91.9949, loss_bbox: 0.2767, loss_mask: 0.2645, loss: 0.8619 2023-11-14 12:46:40,465 - mmdet - INFO - Epoch [2][4600/7330] lr: 1.000e-04, eta: 18:02:16, time: 0.298, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0421, loss_cls: 0.2272, acc: 92.3279, loss_bbox: 0.2610, loss_mask: 0.2556, loss: 0.8241 2023-11-14 12:46:53,661 - mmdet - INFO - Epoch [2][4650/7330] lr: 1.000e-04, eta: 18:02:10, time: 0.264, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0396, loss_rpn_bbox: 0.0423, loss_cls: 0.2229, acc: 92.4382, loss_bbox: 0.2565, loss_mask: 0.2559, loss: 0.8173 2023-11-14 12:47:06,542 - mmdet - INFO - Epoch [2][4700/7330] lr: 1.000e-04, eta: 18:01:56, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0413, loss_cls: 0.2255, acc: 92.4399, loss_bbox: 0.2545, loss_mask: 0.2610, loss: 0.8220 2023-11-14 12:47:19,406 - mmdet - INFO - Epoch [2][4750/7330] lr: 1.000e-04, eta: 18:01:43, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0430, loss_rpn_bbox: 0.0470, loss_cls: 0.2357, acc: 92.0903, loss_bbox: 0.2677, loss_mask: 0.2664, loss: 0.8598 2023-11-14 12:47:32,090 - mmdet - INFO - Epoch [2][4800/7330] lr: 1.000e-04, eta: 18:01:26, time: 0.254, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0406, loss_rpn_bbox: 0.0439, loss_cls: 0.2232, acc: 92.4460, loss_bbox: 0.2609, loss_mask: 0.2621, loss: 0.8307 2023-11-14 12:47:44,964 - mmdet - INFO - Epoch [2][4850/7330] lr: 1.000e-04, eta: 18:01:13, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0393, loss_rpn_bbox: 0.0450, loss_cls: 0.2293, acc: 92.3481, loss_bbox: 0.2622, loss_mask: 0.2609, loss: 0.8368 2023-11-14 12:47:57,537 - mmdet - INFO - Epoch [2][4900/7330] lr: 1.000e-04, eta: 18:00:53, time: 0.251, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0417, loss_cls: 0.2272, acc: 92.3545, loss_bbox: 0.2658, loss_mask: 0.2631, loss: 0.8357 2023-11-14 12:48:15,378 - mmdet - INFO - Epoch [2][4950/7330] lr: 1.000e-04, eta: 18:02:22, time: 0.357, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0396, loss_cls: 0.2319, acc: 92.2031, loss_bbox: 0.2641, loss_mask: 0.2559, loss: 0.8264 2023-11-14 12:48:28,254 - mmdet - INFO - Epoch [2][5000/7330] lr: 1.000e-04, eta: 18:02:09, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0438, loss_cls: 0.2343, acc: 92.0725, loss_bbox: 0.2675, loss_mask: 0.2598, loss: 0.8438 2023-11-14 12:48:41,170 - mmdet - INFO - Epoch [2][5050/7330] lr: 1.000e-04, eta: 18:01:56, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0438, loss_cls: 0.2348, acc: 92.1438, loss_bbox: 0.2654, loss_mask: 0.2587, loss: 0.8406 2023-11-14 12:48:54,069 - mmdet - INFO - Epoch [2][5100/7330] lr: 1.000e-04, eta: 18:01:43, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0412, loss_cls: 0.2129, acc: 92.7488, loss_bbox: 0.2502, loss_mask: 0.2614, loss: 0.8019 2023-11-14 12:49:06,985 - mmdet - INFO - Epoch [2][5150/7330] lr: 1.000e-04, eta: 18:01:30, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0410, loss_cls: 0.2245, acc: 92.4587, loss_bbox: 0.2596, loss_mask: 0.2662, loss: 0.8301 2023-11-14 12:49:20,180 - mmdet - INFO - Epoch [2][5200/7330] lr: 1.000e-04, eta: 18:01:23, time: 0.264, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0425, loss_cls: 0.2165, acc: 92.6040, loss_bbox: 0.2584, loss_mask: 0.2642, loss: 0.8211 2023-11-14 12:49:34,283 - mmdet - INFO - Epoch [2][5250/7330] lr: 1.000e-04, eta: 18:01:34, time: 0.282, data_time: 0.036, memory: 4452, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0435, loss_cls: 0.2281, acc: 92.3066, loss_bbox: 0.2643, loss_mask: 0.2565, loss: 0.8314 2023-11-14 12:49:47,056 - mmdet - INFO - Epoch [2][5300/7330] lr: 1.000e-04, eta: 18:01:18, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0431, loss_cls: 0.2260, acc: 92.2690, loss_bbox: 0.2629, loss_mask: 0.2624, loss: 0.8330 2023-11-14 12:50:00,203 - mmdet - INFO - Epoch [2][5350/7330] lr: 1.000e-04, eta: 18:01:10, time: 0.263, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0397, loss_rpn_bbox: 0.0421, loss_cls: 0.2259, acc: 92.4583, loss_bbox: 0.2616, loss_mask: 0.2593, loss: 0.8286 2023-11-14 12:50:13,265 - mmdet - INFO - Epoch [2][5400/7330] lr: 1.000e-04, eta: 18:01:00, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0391, loss_cls: 0.2222, acc: 92.4751, loss_bbox: 0.2562, loss_mask: 0.2568, loss: 0.8129 2023-11-14 12:50:26,070 - mmdet - INFO - Epoch [2][5450/7330] lr: 1.000e-04, eta: 18:00:45, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0401, loss_rpn_bbox: 0.0435, loss_cls: 0.2305, acc: 92.2087, loss_bbox: 0.2676, loss_mask: 0.2609, loss: 0.8425 2023-11-14 12:50:38,979 - mmdet - INFO - Epoch [2][5500/7330] lr: 1.000e-04, eta: 18:00:32, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0414, loss_rpn_bbox: 0.0429, loss_cls: 0.2259, acc: 92.3269, loss_bbox: 0.2640, loss_mask: 0.2645, loss: 0.8387 2023-11-14 12:50:52,120 - mmdet - INFO - Epoch [2][5550/7330] lr: 1.000e-04, eta: 18:00:24, time: 0.263, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0459, loss_cls: 0.2326, acc: 92.1411, loss_bbox: 0.2711, loss_mask: 0.2590, loss: 0.8488 2023-11-14 12:51:05,074 - mmdet - INFO - Epoch [2][5600/7330] lr: 1.000e-04, eta: 18:00:11, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0421, loss_cls: 0.2216, acc: 92.5491, loss_bbox: 0.2595, loss_mask: 0.2533, loss: 0.8144 2023-11-14 12:51:18,093 - mmdet - INFO - Epoch [2][5650/7330] lr: 1.000e-04, eta: 18:00:01, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0434, loss_cls: 0.2174, acc: 92.5635, loss_bbox: 0.2577, loss_mask: 0.2538, loss: 0.8090 2023-11-14 12:51:31,166 - mmdet - INFO - Epoch [2][5700/7330] lr: 1.000e-04, eta: 17:59:51, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0428, loss_cls: 0.2301, acc: 92.1404, loss_bbox: 0.2702, loss_mask: 0.2575, loss: 0.8387 2023-11-14 12:51:43,744 - mmdet - INFO - Epoch [2][5750/7330] lr: 1.000e-04, eta: 17:59:31, time: 0.252, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0403, loss_cls: 0.2273, acc: 92.2339, loss_bbox: 0.2620, loss_mask: 0.2554, loss: 0.8220 2023-11-14 12:51:56,588 - mmdet - INFO - Epoch [2][5800/7330] lr: 1.000e-04, eta: 17:59:17, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0416, loss_rpn_bbox: 0.0426, loss_cls: 0.2201, acc: 92.6313, loss_bbox: 0.2560, loss_mask: 0.2510, loss: 0.8112 2023-11-14 12:52:09,598 - mmdet - INFO - Epoch [2][5850/7330] lr: 1.000e-04, eta: 17:59:06, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0427, loss_cls: 0.2246, acc: 92.3601, loss_bbox: 0.2604, loss_mask: 0.2523, loss: 0.8192 2023-11-14 12:52:22,831 - mmdet - INFO - Epoch [2][5900/7330] lr: 1.000e-04, eta: 17:58:59, time: 0.265, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0409, loss_cls: 0.2195, acc: 92.5151, loss_bbox: 0.2564, loss_mask: 0.2504, loss: 0.8054 2023-11-14 12:52:35,571 - mmdet - INFO - Epoch [2][5950/7330] lr: 1.000e-04, eta: 17:58:43, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0431, loss_cls: 0.2293, acc: 92.3547, loss_bbox: 0.2599, loss_mask: 0.2508, loss: 0.8224 2023-11-14 12:52:48,461 - mmdet - INFO - Epoch [2][6000/7330] lr: 1.000e-04, eta: 17:58:30, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0408, loss_cls: 0.2212, acc: 92.4604, loss_bbox: 0.2613, loss_mask: 0.2567, loss: 0.8157 2023-11-14 12:53:01,379 - mmdet - INFO - Epoch [2][6050/7330] lr: 1.000e-04, eta: 17:58:17, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0436, loss_cls: 0.2252, acc: 92.3882, loss_bbox: 0.2638, loss_mask: 0.2575, loss: 0.8288 2023-11-14 12:53:13,977 - mmdet - INFO - Epoch [2][6100/7330] lr: 1.000e-04, eta: 17:57:58, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0434, loss_cls: 0.2322, acc: 92.1951, loss_bbox: 0.2662, loss_mask: 0.2626, loss: 0.8434 2023-11-14 12:53:26,732 - mmdet - INFO - Epoch [2][6150/7330] lr: 1.000e-04, eta: 17:57:42, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0390, loss_rpn_bbox: 0.0425, loss_cls: 0.2251, acc: 92.3306, loss_bbox: 0.2614, loss_mask: 0.2604, loss: 0.8284 2023-11-14 12:53:39,579 - mmdet - INFO - Epoch [2][6200/7330] lr: 1.000e-04, eta: 17:57:28, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0418, loss_cls: 0.2296, acc: 92.2493, loss_bbox: 0.2648, loss_mask: 0.2604, loss: 0.8345 2023-11-14 12:53:52,478 - mmdet - INFO - Epoch [2][6250/7330] lr: 1.000e-04, eta: 17:57:15, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0396, loss_cls: 0.2270, acc: 92.4036, loss_bbox: 0.2606, loss_mask: 0.2647, loss: 0.8286 2023-11-14 12:54:05,091 - mmdet - INFO - Epoch [2][6300/7330] lr: 1.000e-04, eta: 17:56:56, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0394, loss_rpn_bbox: 0.0421, loss_cls: 0.2231, acc: 92.3782, loss_bbox: 0.2646, loss_mask: 0.2511, loss: 0.8205 2023-11-14 12:54:17,732 - mmdet - INFO - Epoch [2][6350/7330] lr: 1.000e-04, eta: 17:56:39, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0408, loss_cls: 0.2261, acc: 92.4331, loss_bbox: 0.2572, loss_mask: 0.2589, loss: 0.8226 2023-11-14 12:54:30,555 - mmdet - INFO - Epoch [2][6400/7330] lr: 1.000e-04, eta: 17:56:24, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0399, loss_rpn_bbox: 0.0427, loss_cls: 0.2350, acc: 92.2063, loss_bbox: 0.2648, loss_mask: 0.2601, loss: 0.8424 2023-11-14 12:54:43,145 - mmdet - INFO - Epoch [2][6450/7330] lr: 1.000e-04, eta: 17:56:05, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0409, loss_cls: 0.2185, acc: 92.4868, loss_bbox: 0.2535, loss_mask: 0.2511, loss: 0.8027 2023-11-14 12:54:55,969 - mmdet - INFO - Epoch [2][6500/7330] lr: 1.000e-04, eta: 17:55:51, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0411, loss_cls: 0.2264, acc: 92.2791, loss_bbox: 0.2662, loss_mask: 0.2545, loss: 0.8263 2023-11-14 12:55:08,561 - mmdet - INFO - Epoch [2][6550/7330] lr: 1.000e-04, eta: 17:55:32, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0397, loss_cls: 0.2191, acc: 92.5347, loss_bbox: 0.2581, loss_mask: 0.2479, loss: 0.8012 2023-11-14 12:55:21,459 - mmdet - INFO - Epoch [2][6600/7330] lr: 1.000e-04, eta: 17:55:19, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0387, loss_rpn_bbox: 0.0428, loss_cls: 0.2232, acc: 92.4736, loss_bbox: 0.2549, loss_mask: 0.2537, loss: 0.8133 2023-11-14 12:55:34,307 - mmdet - INFO - Epoch [2][6650/7330] lr: 1.000e-04, eta: 17:55:05, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0404, loss_cls: 0.2154, acc: 92.7258, loss_bbox: 0.2469, loss_mask: 0.2563, loss: 0.7970 2023-11-14 12:55:46,909 - mmdet - INFO - Epoch [2][6700/7330] lr: 1.000e-04, eta: 17:54:47, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0392, loss_rpn_bbox: 0.0391, loss_cls: 0.2199, acc: 92.4709, loss_bbox: 0.2588, loss_mask: 0.2608, loss: 0.8177 2023-11-14 12:55:59,869 - mmdet - INFO - Epoch [2][6750/7330] lr: 1.000e-04, eta: 17:54:35, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0429, loss_cls: 0.2223, acc: 92.4431, loss_bbox: 0.2593, loss_mask: 0.2617, loss: 0.8250 2023-11-14 12:56:12,951 - mmdet - INFO - Epoch [2][6800/7330] lr: 1.000e-04, eta: 17:54:25, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0437, loss_cls: 0.2273, acc: 92.2114, loss_bbox: 0.2684, loss_mask: 0.2609, loss: 0.8384 2023-11-14 12:56:25,831 - mmdet - INFO - Epoch [2][6850/7330] lr: 1.000e-04, eta: 17:54:12, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0398, loss_rpn_bbox: 0.0440, loss_cls: 0.2263, acc: 92.1960, loss_bbox: 0.2670, loss_mask: 0.2570, loss: 0.8340 2023-11-14 12:56:38,730 - mmdet - INFO - Epoch [2][6900/7330] lr: 1.000e-04, eta: 17:53:59, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0407, loss_rpn_bbox: 0.0444, loss_cls: 0.2239, acc: 92.3699, loss_bbox: 0.2624, loss_mask: 0.2548, loss: 0.8262 2023-11-14 12:56:51,532 - mmdet - INFO - Epoch [2][6950/7330] lr: 1.000e-04, eta: 17:53:44, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0421, loss_cls: 0.2274, acc: 92.2542, loss_bbox: 0.2604, loss_mask: 0.2569, loss: 0.8258 2023-11-14 12:57:04,276 - mmdet - INFO - Epoch [2][7000/7330] lr: 1.000e-04, eta: 17:53:28, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0383, loss_rpn_bbox: 0.0420, loss_cls: 0.2222, acc: 92.5364, loss_bbox: 0.2537, loss_mask: 0.2534, loss: 0.8096 2023-11-14 12:57:17,480 - mmdet - INFO - Epoch [2][7050/7330] lr: 1.000e-04, eta: 17:53:21, time: 0.264, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0430, loss_cls: 0.2285, acc: 92.2026, loss_bbox: 0.2671, loss_mask: 0.2594, loss: 0.8357 2023-11-14 12:57:30,309 - mmdet - INFO - Epoch [2][7100/7330] lr: 1.000e-04, eta: 17:53:07, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0425, loss_cls: 0.2271, acc: 92.2209, loss_bbox: 0.2655, loss_mask: 0.2538, loss: 0.8263 2023-11-14 12:57:43,380 - mmdet - INFO - Epoch [2][7150/7330] lr: 1.000e-04, eta: 17:52:56, time: 0.261, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0407, loss_cls: 0.2193, acc: 92.5654, loss_bbox: 0.2579, loss_mask: 0.2568, loss: 0.8073 2023-11-14 12:57:56,250 - mmdet - INFO - Epoch [2][7200/7330] lr: 1.000e-04, eta: 17:52:43, time: 0.257, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0421, loss_cls: 0.2235, acc: 92.3711, loss_bbox: 0.2633, loss_mask: 0.2533, loss: 0.8195 2023-11-14 12:58:09,065 - mmdet - INFO - Epoch [2][7250/7330] lr: 1.000e-04, eta: 17:52:28, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0409, loss_cls: 0.2197, acc: 92.6179, loss_bbox: 0.2553, loss_mask: 0.2564, loss: 0.8106 2023-11-14 12:58:21,737 - mmdet - INFO - Epoch [2][7300/7330] lr: 1.000e-04, eta: 17:52:12, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0385, loss_cls: 0.2116, acc: 92.8716, loss_bbox: 0.2423, loss_mask: 0.2469, loss: 0.7737 2023-11-14 12:58:29,701 - mmdet - INFO - Saving checkpoint at 2 epochs 2023-11-14 12:59:18,957 - mmdet - INFO - Evaluating bbox... 2023-11-14 12:59:56,356 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.395 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.633 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.432 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 ] = 0.434 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.512 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.363 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.675 2023-11-14 12:59:56,358 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.534 | bicycle | 0.298 | car | 0.421 | | motorcycle | 0.375 | airplane | 0.622 | bus | 0.650 | | train | 0.597 | truck | 0.354 | boat | 0.291 | | traffic light | 0.270 | fire hydrant | 0.656 | stop sign | 0.616 | | parking meter | 0.435 | bench | 0.222 | bird | 0.377 | | cat | 0.621 | dog | 0.605 | horse | 0.534 | | sheep | 0.489 | cow | 0.537 | elephant | 0.629 | | bear | 0.706 | zebra | 0.632 | giraffe | 0.657 | | backpack | 0.148 | umbrella | 0.365 | handbag | 0.123 | | tie | 0.284 | suitcase | 0.334 | frisbee | 0.632 | | skis | 0.193 | snowboard | 0.305 | sports ball | 0.447 | | kite | 0.388 | baseball bat | 0.293 | baseball glove | 0.371 | | skateboard | 0.489 | surfboard | 0.347 | tennis racket | 0.437 | | bottle | 0.381 | wine glass | 0.326 | cup | 0.415 | | fork | 0.269 | knife | 0.179 | spoon | 0.165 | | bowl | 0.397 | banana | 0.237 | apple | 0.190 | | sandwich | 0.331 | orange | 0.281 | broccoli | 0.229 | | carrot | 0.193 | hot dog | 0.321 | pizza | 0.473 | | donut | 0.463 | cake | 0.362 | chair | 0.282 | | couch | 0.396 | potted plant | 0.246 | bed | 0.400 | | dining table | 0.234 | toilet | 0.575 | tv | 0.542 | | laptop | 0.561 | mouse | 0.587 | remote | 0.286 | | keyboard | 0.464 | cell phone | 0.344 | microwave | 0.589 | | oven | 0.318 | toaster | 0.425 | sink | 0.368 | | refrigerator | 0.546 | book | 0.134 | clock | 0.490 | | vase | 0.373 | scissors | 0.287 | teddy bear | 0.408 | | hair drier | 0.098 | toothbrush | 0.187 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 12:59:56,358 - mmdet - INFO - Evaluating segm... 2023-11-14 13:00:39,071 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.369 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.602 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.394 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.185 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.405 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.540 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.502 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.315 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.548 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.659 2023-11-14 13:00:39,073 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.462 | bicycle | 0.176 | car | 0.383 | | motorcycle | 0.308 | airplane | 0.470 | bus | 0.644 | | train | 0.601 | truck | 0.365 | boat | 0.251 | | traffic light | 0.253 | fire hydrant | 0.663 | stop sign | 0.636 | | parking meter | 0.491 | bench | 0.169 | bird | 0.303 | | cat | 0.678 | dog | 0.592 | horse | 0.396 | | sheep | 0.443 | cow | 0.456 | elephant | 0.580 | | bear | 0.710 | zebra | 0.547 | giraffe | 0.496 | | backpack | 0.158 | umbrella | 0.463 | handbag | 0.142 | | tie | 0.289 | suitcase | 0.378 | frisbee | 0.610 | | skis | 0.014 | snowboard | 0.191 | sports ball | 0.417 | | kite | 0.294 | baseball bat | 0.210 | baseball glove | 0.406 | | skateboard | 0.285 | surfboard | 0.301 | tennis racket | 0.527 | | bottle | 0.373 | wine glass | 0.292 | cup | 0.438 | | fork | 0.142 | knife | 0.127 | spoon | 0.119 | | bowl | 0.393 | banana | 0.192 | apple | 0.204 | | sandwich | 0.363 | orange | 0.291 | broccoli | 0.233 | | carrot | 0.167 | hot dog | 0.255 | pizza | 0.478 | | donut | 0.491 | cake | 0.383 | chair | 0.201 | | couch | 0.364 | potted plant | 0.219 | bed | 0.321 | | dining table | 0.130 | toilet | 0.593 | tv | 0.592 | | laptop | 0.595 | mouse | 0.594 | remote | 0.272 | | keyboard | 0.472 | cell phone | 0.352 | microwave | 0.616 | | oven | 0.332 | toaster | 0.467 | sink | 0.356 | | refrigerator | 0.582 | book | 0.080 | clock | 0.480 | | vase | 0.377 | scissors | 0.221 | teddy bear | 0.415 | | hair drier | 0.067 | toothbrush | 0.113 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 13:00:39,627 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_1.pth was removed 2023-11-14 13:00:41,226 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_2.pth. 2023-11-14 13:00:41,226 - mmdet - INFO - Best bbox_mAP is 0.3954 at 2 epoch. 2023-11-14 13:00:41,226 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 13:00:41,226 - mmdet - INFO - Epoch(val) [2][625] bbox_mAP: 0.3954, bbox_mAP_50: 0.6335, bbox_mAP_75: 0.4322, bbox_mAP_s: 0.2455, bbox_mAP_m: 0.4335, bbox_mAP_l: 0.5119, bbox_mAP_copypaste: 0.3954 0.6335 0.4322 0.2455 0.4335 0.5119, segm_mAP: 0.3689, segm_mAP_50: 0.6023, segm_mAP_75: 0.3944, segm_mAP_s: 0.1852, segm_mAP_m: 0.4048, segm_mAP_l: 0.5401, segm_mAP_copypaste: 0.3689 0.6023 0.3944 0.1852 0.4048 0.5401 2023-11-14 13:00:57,453 - mmdet - INFO - Epoch [3][50/7330] lr: 1.000e-04, eta: 17:50:36, time: 0.324, data_time: 0.075, memory: 4452, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0394, loss_cls: 0.2193, acc: 92.5886, loss_bbox: 0.2593, loss_mask: 0.2541, loss: 0.8081 2023-11-14 13:01:10,418 - mmdet - INFO - Epoch [3][100/7330] lr: 1.000e-04, eta: 17:50:24, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0408, loss_cls: 0.2169, acc: 92.4187, loss_bbox: 0.2628, loss_mask: 0.2500, loss: 0.8058 2023-11-14 13:01:23,631 - mmdet - INFO - Epoch [3][150/7330] lr: 1.000e-04, eta: 17:50:17, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0412, loss_cls: 0.2139, acc: 92.6104, loss_bbox: 0.2549, loss_mask: 0.2532, loss: 0.7998 2023-11-14 13:01:36,665 - mmdet - INFO - Epoch [3][200/7330] lr: 1.000e-04, eta: 17:50:06, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0403, loss_rpn_bbox: 0.0436, loss_cls: 0.2200, acc: 92.3982, loss_bbox: 0.2634, loss_mask: 0.2550, loss: 0.8222 2023-11-14 13:01:49,734 - mmdet - INFO - Epoch [3][250/7330] lr: 1.000e-04, eta: 17:49:56, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0420, loss_cls: 0.2124, acc: 92.6531, loss_bbox: 0.2581, loss_mask: 0.2531, loss: 0.8025 2023-11-14 13:02:02,928 - mmdet - INFO - Epoch [3][300/7330] lr: 1.000e-04, eta: 17:49:48, time: 0.264, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0389, loss_rpn_bbox: 0.0416, loss_cls: 0.2093, acc: 92.8594, loss_bbox: 0.2485, loss_mask: 0.2497, loss: 0.7880 2023-11-14 13:02:15,766 - mmdet - INFO - Epoch [3][350/7330] lr: 1.000e-04, eta: 17:49:35, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0440, loss_cls: 0.2263, acc: 92.3398, loss_bbox: 0.2620, loss_mask: 0.2577, loss: 0.8285 2023-11-14 13:02:28,761 - mmdet - INFO - Epoch [3][400/7330] lr: 1.000e-04, eta: 17:49:23, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0419, loss_cls: 0.2112, acc: 92.7322, loss_bbox: 0.2509, loss_mask: 0.2507, loss: 0.7920 2023-11-14 13:02:41,618 - mmdet - INFO - Epoch [3][450/7330] lr: 1.000e-04, eta: 17:49:10, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0406, loss_cls: 0.2236, acc: 92.3586, loss_bbox: 0.2568, loss_mask: 0.2527, loss: 0.8102 2023-11-14 13:02:54,917 - mmdet - INFO - Epoch [3][500/7330] lr: 1.000e-04, eta: 17:49:03, time: 0.266, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0402, loss_rpn_bbox: 0.0455, loss_cls: 0.2283, acc: 92.2161, loss_bbox: 0.2653, loss_mask: 0.2520, loss: 0.8313 2023-11-14 13:03:08,096 - mmdet - INFO - Epoch [3][550/7330] lr: 1.000e-04, eta: 17:48:55, time: 0.264, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0402, loss_cls: 0.2121, acc: 92.6941, loss_bbox: 0.2566, loss_mask: 0.2516, loss: 0.7963 2023-11-14 13:03:21,193 - mmdet - INFO - Epoch [3][600/7330] lr: 1.000e-04, eta: 17:48:46, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0424, loss_cls: 0.2196, acc: 92.5977, loss_bbox: 0.2576, loss_mask: 0.2523, loss: 0.8096 2023-11-14 13:03:34,109 - mmdet - INFO - Epoch [3][650/7330] lr: 1.000e-04, eta: 17:48:33, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0410, loss_cls: 0.2133, acc: 92.4292, loss_bbox: 0.2627, loss_mask: 0.2527, loss: 0.8055 2023-11-14 13:03:46,961 - mmdet - INFO - Epoch [3][700/7330] lr: 1.000e-04, eta: 17:48:19, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0378, loss_cls: 0.2124, acc: 92.6812, loss_bbox: 0.2484, loss_mask: 0.2481, loss: 0.7820 2023-11-14 13:04:00,212 - mmdet - INFO - Epoch [3][750/7330] lr: 1.000e-04, eta: 17:48:12, time: 0.265, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0399, loss_cls: 0.2155, acc: 92.6785, loss_bbox: 0.2500, loss_mask: 0.2490, loss: 0.7919 2023-11-14 13:04:13,254 - mmdet - INFO - Epoch [3][800/7330] lr: 1.000e-04, eta: 17:48:02, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0412, loss_cls: 0.2120, acc: 92.7307, loss_bbox: 0.2544, loss_mask: 0.2514, loss: 0.7955 2023-11-14 13:04:26,142 - mmdet - INFO - Epoch [3][850/7330] lr: 1.000e-04, eta: 17:47:49, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0421, loss_cls: 0.2156, acc: 92.6248, loss_bbox: 0.2539, loss_mask: 0.2470, loss: 0.7964 2023-11-14 13:04:39,177 - mmdet - INFO - Epoch [3][900/7330] lr: 1.000e-04, eta: 17:47:38, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0413, loss_cls: 0.2133, acc: 92.6155, loss_bbox: 0.2573, loss_mask: 0.2548, loss: 0.8024 2023-11-14 13:04:51,932 - mmdet - INFO - Epoch [3][950/7330] lr: 1.000e-04, eta: 17:47:23, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0458, loss_cls: 0.2226, acc: 92.3425, loss_bbox: 0.2628, loss_mask: 0.2510, loss: 0.8218 2023-11-14 13:05:04,714 - mmdet - INFO - Epoch [3][1000/7330] lr: 1.000e-04, eta: 17:47:08, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0420, loss_cls: 0.2256, acc: 92.2429, loss_bbox: 0.2709, loss_mask: 0.2572, loss: 0.8329 2023-11-14 13:05:17,529 - mmdet - INFO - Epoch [3][1050/7330] lr: 1.000e-04, eta: 17:46:54, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0376, loss_cls: 0.2066, acc: 92.8867, loss_bbox: 0.2521, loss_mask: 0.2455, loss: 0.7749 2023-11-14 13:05:30,566 - mmdet - INFO - Epoch [3][1100/7330] lr: 1.000e-04, eta: 17:46:43, time: 0.261, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0420, loss_cls: 0.2254, acc: 92.2263, loss_bbox: 0.2634, loss_mask: 0.2575, loss: 0.8258 2023-11-14 13:05:43,459 - mmdet - INFO - Epoch [3][1150/7330] lr: 1.000e-04, eta: 17:46:30, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0417, loss_cls: 0.2222, acc: 92.3201, loss_bbox: 0.2669, loss_mask: 0.2588, loss: 0.8265 2023-11-14 13:05:56,285 - mmdet - INFO - Epoch [3][1200/7330] lr: 1.000e-04, eta: 17:46:16, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0398, loss_cls: 0.2204, acc: 92.5090, loss_bbox: 0.2556, loss_mask: 0.2572, loss: 0.8097 2023-11-14 13:06:08,935 - mmdet - INFO - Epoch [3][1250/7330] lr: 1.000e-04, eta: 17:45:59, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0411, loss_cls: 0.2164, acc: 92.6519, loss_bbox: 0.2531, loss_mask: 0.2490, loss: 0.7968 2023-11-14 13:06:21,936 - mmdet - INFO - Epoch [3][1300/7330] lr: 1.000e-04, eta: 17:45:48, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0406, loss_cls: 0.2116, acc: 92.8406, loss_bbox: 0.2465, loss_mask: 0.2460, loss: 0.7784 2023-11-14 13:06:35,249 - mmdet - INFO - Epoch [3][1350/7330] lr: 1.000e-04, eta: 17:45:41, time: 0.266, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0384, loss_rpn_bbox: 0.0419, loss_cls: 0.2136, acc: 92.5251, loss_bbox: 0.2553, loss_mask: 0.2549, loss: 0.8041 2023-11-14 13:06:48,243 - mmdet - INFO - Epoch [3][1400/7330] lr: 1.000e-04, eta: 17:45:30, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0374, loss_rpn_bbox: 0.0417, loss_cls: 0.2132, acc: 92.4871, loss_bbox: 0.2655, loss_mask: 0.2536, loss: 0.8114 2023-11-14 13:07:01,395 - mmdet - INFO - Epoch [3][1450/7330] lr: 1.000e-04, eta: 17:45:21, time: 0.263, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0402, loss_cls: 0.2161, acc: 92.5293, loss_bbox: 0.2565, loss_mask: 0.2478, loss: 0.7978 2023-11-14 13:07:14,926 - mmdet - INFO - Epoch [3][1500/7330] lr: 1.000e-04, eta: 17:45:18, time: 0.271, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0439, loss_cls: 0.2098, acc: 92.5483, loss_bbox: 0.2585, loss_mask: 0.2515, loss: 0.7986 2023-11-14 13:07:28,269 - mmdet - INFO - Epoch [3][1550/7330] lr: 1.000e-04, eta: 17:45:12, time: 0.267, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0414, loss_cls: 0.2298, acc: 92.1482, loss_bbox: 0.2674, loss_mask: 0.2569, loss: 0.8341 2023-11-14 13:07:41,299 - mmdet - INFO - Epoch [3][1600/7330] lr: 1.000e-04, eta: 17:45:01, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0401, loss_cls: 0.2156, acc: 92.6345, loss_bbox: 0.2572, loss_mask: 0.2511, loss: 0.7999 2023-11-14 13:07:54,047 - mmdet - INFO - Epoch [3][1650/7330] lr: 1.000e-04, eta: 17:44:45, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0379, loss_cls: 0.2035, acc: 92.9761, loss_bbox: 0.2371, loss_mask: 0.2484, loss: 0.7626 2023-11-14 13:08:06,779 - mmdet - INFO - Epoch [3][1700/7330] lr: 1.000e-04, eta: 17:44:30, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0430, loss_cls: 0.2156, acc: 92.5366, loss_bbox: 0.2582, loss_mask: 0.2557, loss: 0.8085 2023-11-14 13:08:19,703 - mmdet - INFO - Epoch [3][1750/7330] lr: 1.000e-04, eta: 17:44:17, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0370, loss_rpn_bbox: 0.0410, loss_cls: 0.2146, acc: 92.6475, loss_bbox: 0.2538, loss_mask: 0.2478, loss: 0.7943 2023-11-14 13:08:32,630 - mmdet - INFO - Epoch [3][1800/7330] lr: 1.000e-04, eta: 17:44:05, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0412, loss_cls: 0.2216, acc: 92.4192, loss_bbox: 0.2528, loss_mask: 0.2489, loss: 0.8002 2023-11-14 13:08:45,815 - mmdet - INFO - Epoch [3][1850/7330] lr: 1.000e-04, eta: 17:43:56, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0406, loss_cls: 0.2065, acc: 92.9307, loss_bbox: 0.2471, loss_mask: 0.2461, loss: 0.7772 2023-11-14 13:08:58,637 - mmdet - INFO - Epoch [3][1900/7330] lr: 1.000e-04, eta: 17:43:42, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0400, loss_cls: 0.2087, acc: 92.7620, loss_bbox: 0.2478, loss_mask: 0.2508, loss: 0.7838 2023-11-14 13:09:11,690 - mmdet - INFO - Epoch [3][1950/7330] lr: 1.000e-04, eta: 17:43:31, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0418, loss_cls: 0.2197, acc: 92.4412, loss_bbox: 0.2590, loss_mask: 0.2547, loss: 0.8087 2023-11-14 13:09:24,409 - mmdet - INFO - Epoch [3][2000/7330] lr: 1.000e-04, eta: 17:43:16, time: 0.254, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0393, loss_cls: 0.2078, acc: 92.9226, loss_bbox: 0.2465, loss_mask: 0.2550, loss: 0.7822 2023-11-14 13:09:37,686 - mmdet - INFO - Epoch [3][2050/7330] lr: 1.000e-04, eta: 17:43:08, time: 0.266, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0413, loss_cls: 0.2054, acc: 92.8833, loss_bbox: 0.2489, loss_mask: 0.2518, loss: 0.7815 2023-11-14 13:09:50,685 - mmdet - INFO - Epoch [3][2100/7330] lr: 1.000e-04, eta: 17:42:57, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0403, loss_cls: 0.2129, acc: 92.5779, loss_bbox: 0.2515, loss_mask: 0.2527, loss: 0.7931 2023-11-14 13:10:03,970 - mmdet - INFO - Epoch [3][2150/7330] lr: 1.000e-04, eta: 17:42:50, time: 0.266, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0419, loss_cls: 0.2075, acc: 92.9023, loss_bbox: 0.2435, loss_mask: 0.2471, loss: 0.7777 2023-11-14 13:10:17,031 - mmdet - INFO - Epoch [3][2200/7330] lr: 1.000e-04, eta: 17:42:39, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0410, loss_cls: 0.2167, acc: 92.4768, loss_bbox: 0.2580, loss_mask: 0.2498, loss: 0.7994 2023-11-14 13:10:30,033 - mmdet - INFO - Epoch [3][2250/7330] lr: 1.000e-04, eta: 17:42:27, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0403, loss_rpn_bbox: 0.0425, loss_cls: 0.2174, acc: 92.7080, loss_bbox: 0.2532, loss_mask: 0.2487, loss: 0.8021 2023-11-14 13:10:43,446 - mmdet - INFO - Epoch [3][2300/7330] lr: 1.000e-04, eta: 17:42:22, time: 0.268, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0401, loss_cls: 0.2233, acc: 92.4055, loss_bbox: 0.2550, loss_mask: 0.2529, loss: 0.8071 2023-11-14 13:10:55,996 - mmdet - INFO - Epoch [3][2350/7330] lr: 1.000e-04, eta: 17:42:04, time: 0.251, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0388, loss_cls: 0.2077, acc: 92.9492, loss_bbox: 0.2464, loss_mask: 0.2507, loss: 0.7752 2023-11-14 13:11:08,740 - mmdet - INFO - Epoch [3][2400/7330] lr: 1.000e-04, eta: 17:41:49, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0377, loss_rpn_bbox: 0.0404, loss_cls: 0.2090, acc: 92.7146, loss_bbox: 0.2520, loss_mask: 0.2467, loss: 0.7858 2023-11-14 13:11:21,920 - mmdet - INFO - Epoch [3][2450/7330] lr: 1.000e-04, eta: 17:41:40, time: 0.264, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0380, loss_rpn_bbox: 0.0436, loss_cls: 0.2200, acc: 92.5103, loss_bbox: 0.2613, loss_mask: 0.2524, loss: 0.8153 2023-11-14 13:11:34,950 - mmdet - INFO - Epoch [3][2500/7330] lr: 1.000e-04, eta: 17:41:28, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0379, loss_rpn_bbox: 0.0417, loss_cls: 0.2154, acc: 92.5334, loss_bbox: 0.2565, loss_mask: 0.2530, loss: 0.8045 2023-11-14 13:11:47,763 - mmdet - INFO - Epoch [3][2550/7330] lr: 1.000e-04, eta: 17:41:14, time: 0.256, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0416, loss_cls: 0.2162, acc: 92.6523, loss_bbox: 0.2531, loss_mask: 0.2547, loss: 0.8019 2023-11-14 13:12:00,580 - mmdet - INFO - Epoch [3][2600/7330] lr: 1.000e-04, eta: 17:41:00, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0381, loss_rpn_bbox: 0.0406, loss_cls: 0.2154, acc: 92.5398, loss_bbox: 0.2566, loss_mask: 0.2526, loss: 0.8033 2023-11-14 13:12:13,702 - mmdet - INFO - Epoch [3][2650/7330] lr: 1.000e-04, eta: 17:40:50, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0403, loss_cls: 0.2151, acc: 92.6860, loss_bbox: 0.2504, loss_mask: 0.2513, loss: 0.7917 2023-11-14 13:12:26,687 - mmdet - INFO - Epoch [3][2700/7330] lr: 1.000e-04, eta: 17:40:38, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0396, loss_cls: 0.2054, acc: 93.0293, loss_bbox: 0.2428, loss_mask: 0.2499, loss: 0.7700 2023-11-14 13:12:39,832 - mmdet - INFO - Epoch [3][2750/7330] lr: 1.000e-04, eta: 17:40:29, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0416, loss_cls: 0.2164, acc: 92.5334, loss_bbox: 0.2553, loss_mask: 0.2488, loss: 0.7978 2023-11-14 13:12:52,565 - mmdet - INFO - Epoch [3][2800/7330] lr: 1.000e-04, eta: 17:40:13, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0396, loss_cls: 0.2124, acc: 92.7397, loss_bbox: 0.2539, loss_mask: 0.2476, loss: 0.7876 2023-11-14 13:13:05,376 - mmdet - INFO - Epoch [3][2850/7330] lr: 1.000e-04, eta: 17:39:59, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0416, loss_cls: 0.2126, acc: 92.6260, loss_bbox: 0.2539, loss_mask: 0.2496, loss: 0.7930 2023-11-14 13:13:18,003 - mmdet - INFO - Epoch [3][2900/7330] lr: 1.000e-04, eta: 17:39:42, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0394, loss_cls: 0.2128, acc: 92.6980, loss_bbox: 0.2485, loss_mask: 0.2483, loss: 0.7859 2023-11-14 13:13:30,882 - mmdet - INFO - Epoch [3][2950/7330] lr: 1.000e-04, eta: 17:39:29, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0409, loss_cls: 0.2214, acc: 92.4297, loss_bbox: 0.2579, loss_mask: 0.2521, loss: 0.8079 2023-11-14 13:13:43,703 - mmdet - INFO - Epoch [3][3000/7330] lr: 1.000e-04, eta: 17:39:15, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0403, loss_cls: 0.2074, acc: 92.8679, loss_bbox: 0.2457, loss_mask: 0.2501, loss: 0.7775 2023-11-14 13:13:56,712 - mmdet - INFO - Epoch [3][3050/7330] lr: 1.000e-04, eta: 17:39:03, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0388, loss_cls: 0.2076, acc: 92.8030, loss_bbox: 0.2501, loss_mask: 0.2459, loss: 0.7779 2023-11-14 13:14:09,528 - mmdet - INFO - Epoch [3][3100/7330] lr: 1.000e-04, eta: 17:38:49, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0382, loss_rpn_bbox: 0.0408, loss_cls: 0.2112, acc: 92.6868, loss_bbox: 0.2521, loss_mask: 0.2516, loss: 0.7939 2023-11-14 13:14:22,543 - mmdet - INFO - Epoch [3][3150/7330] lr: 1.000e-04, eta: 17:38:38, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0401, loss_cls: 0.2075, acc: 92.9182, loss_bbox: 0.2449, loss_mask: 0.2437, loss: 0.7728 2023-11-14 13:14:35,568 - mmdet - INFO - Epoch [3][3200/7330] lr: 1.000e-04, eta: 17:38:27, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0415, loss_cls: 0.2129, acc: 92.7649, loss_bbox: 0.2521, loss_mask: 0.2451, loss: 0.7880 2023-11-14 13:14:49,187 - mmdet - INFO - Epoch [3][3250/7330] lr: 1.000e-04, eta: 17:38:23, time: 0.272, data_time: 0.027, memory: 4452, loss_rpn_cls: 0.0386, loss_rpn_bbox: 0.0424, loss_cls: 0.2200, acc: 92.4961, loss_bbox: 0.2565, loss_mask: 0.2605, loss: 0.8181 2023-11-14 13:15:02,094 - mmdet - INFO - Epoch [3][3300/7330] lr: 1.000e-04, eta: 17:38:10, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0407, loss_cls: 0.2060, acc: 92.8403, loss_bbox: 0.2456, loss_mask: 0.2481, loss: 0.7765 2023-11-14 13:15:14,988 - mmdet - INFO - Epoch [3][3350/7330] lr: 1.000e-04, eta: 17:37:57, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0417, loss_cls: 0.2192, acc: 92.5103, loss_bbox: 0.2611, loss_mask: 0.2509, loss: 0.8090 2023-11-14 13:15:27,899 - mmdet - INFO - Epoch [3][3400/7330] lr: 1.000e-04, eta: 17:37:44, time: 0.258, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0408, loss_cls: 0.2171, acc: 92.5461, loss_bbox: 0.2556, loss_mask: 0.2430, loss: 0.7930 2023-11-14 13:15:40,888 - mmdet - INFO - Epoch [3][3450/7330] lr: 1.000e-04, eta: 17:37:33, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0398, loss_cls: 0.2083, acc: 92.8845, loss_bbox: 0.2431, loss_mask: 0.2499, loss: 0.7757 2023-11-14 13:15:53,997 - mmdet - INFO - Epoch [3][3500/7330] lr: 1.000e-04, eta: 17:37:22, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0403, loss_cls: 0.2220, acc: 92.4299, loss_bbox: 0.2576, loss_mask: 0.2540, loss: 0.8089 2023-11-14 13:16:07,334 - mmdet - INFO - Epoch [3][3550/7330] lr: 1.000e-04, eta: 17:37:15, time: 0.267, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0400, loss_cls: 0.2121, acc: 92.7488, loss_bbox: 0.2535, loss_mask: 0.2510, loss: 0.7907 2023-11-14 13:16:20,337 - mmdet - INFO - Epoch [3][3600/7330] lr: 1.000e-04, eta: 17:37:04, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0388, loss_cls: 0.2081, acc: 93.0544, loss_bbox: 0.2422, loss_mask: 0.2476, loss: 0.7690 2023-11-14 13:16:32,925 - mmdet - INFO - Epoch [3][3650/7330] lr: 1.000e-04, eta: 17:36:46, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0375, loss_rpn_bbox: 0.0430, loss_cls: 0.2103, acc: 92.7295, loss_bbox: 0.2520, loss_mask: 0.2501, loss: 0.7929 2023-11-14 13:16:45,925 - mmdet - INFO - Epoch [3][3700/7330] lr: 1.000e-04, eta: 17:36:35, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0391, loss_cls: 0.2073, acc: 92.8098, loss_bbox: 0.2452, loss_mask: 0.2477, loss: 0.7749 2023-11-14 13:16:59,053 - mmdet - INFO - Epoch [3][3750/7330] lr: 1.000e-04, eta: 17:36:25, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0389, loss_cls: 0.2031, acc: 93.0173, loss_bbox: 0.2425, loss_mask: 0.2467, loss: 0.7657 2023-11-14 13:17:12,202 - mmdet - INFO - Epoch [3][3800/7330] lr: 1.000e-04, eta: 17:36:15, time: 0.263, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0395, loss_cls: 0.2133, acc: 92.7229, loss_bbox: 0.2517, loss_mask: 0.2444, loss: 0.7841 2023-11-14 13:17:25,228 - mmdet - INFO - Epoch [3][3850/7330] lr: 1.000e-04, eta: 17:36:03, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0424, loss_cls: 0.2188, acc: 92.4922, loss_bbox: 0.2576, loss_mask: 0.2503, loss: 0.8064 2023-11-14 13:17:37,817 - mmdet - INFO - Epoch [3][3900/7330] lr: 1.000e-04, eta: 17:35:46, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0372, loss_cls: 0.2044, acc: 92.9951, loss_bbox: 0.2438, loss_mask: 0.2454, loss: 0.7638 2023-11-14 13:17:51,130 - mmdet - INFO - Epoch [3][3950/7330] lr: 1.000e-04, eta: 17:35:39, time: 0.266, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0442, loss_cls: 0.2237, acc: 92.3003, loss_bbox: 0.2693, loss_mask: 0.2529, loss: 0.8256 2023-11-14 13:18:03,948 - mmdet - INFO - Epoch [3][4000/7330] lr: 1.000e-04, eta: 17:35:24, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0395, loss_cls: 0.2035, acc: 93.0334, loss_bbox: 0.2410, loss_mask: 0.2427, loss: 0.7627 2023-11-14 13:18:16,633 - mmdet - INFO - Epoch [3][4050/7330] lr: 1.000e-04, eta: 17:35:09, time: 0.254, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0382, loss_cls: 0.2086, acc: 92.8225, loss_bbox: 0.2481, loss_mask: 0.2465, loss: 0.7772 2023-11-14 13:18:29,548 - mmdet - INFO - Epoch [3][4100/7330] lr: 1.000e-04, eta: 17:34:56, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0424, loss_cls: 0.2146, acc: 92.5095, loss_bbox: 0.2604, loss_mask: 0.2506, loss: 0.8053 2023-11-14 13:18:42,426 - mmdet - INFO - Epoch [3][4150/7330] lr: 1.000e-04, eta: 17:34:42, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0430, loss_cls: 0.2149, acc: 92.5488, loss_bbox: 0.2590, loss_mask: 0.2457, loss: 0.7993 2023-11-14 13:18:55,378 - mmdet - INFO - Epoch [3][4200/7330] lr: 1.000e-04, eta: 17:34:30, time: 0.259, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0350, loss_rpn_bbox: 0.0386, loss_cls: 0.2051, acc: 93.0186, loss_bbox: 0.2400, loss_mask: 0.2492, loss: 0.7680 2023-11-14 13:19:07,968 - mmdet - INFO - Epoch [3][4250/7330] lr: 1.000e-04, eta: 17:34:13, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0382, loss_cls: 0.2045, acc: 92.9265, loss_bbox: 0.2420, loss_mask: 0.2419, loss: 0.7607 2023-11-14 13:19:21,192 - mmdet - INFO - Epoch [3][4300/7330] lr: 1.000e-04, eta: 17:34:04, time: 0.265, data_time: 0.022, memory: 4452, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0419, loss_cls: 0.2214, acc: 92.3464, loss_bbox: 0.2550, loss_mask: 0.2422, loss: 0.7970 2023-11-14 13:19:33,857 - mmdet - INFO - Epoch [3][4350/7330] lr: 1.000e-04, eta: 17:33:48, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0401, loss_cls: 0.2125, acc: 92.5522, loss_bbox: 0.2526, loss_mask: 0.2549, loss: 0.7973 2023-11-14 13:19:46,781 - mmdet - INFO - Epoch [3][4400/7330] lr: 1.000e-04, eta: 17:33:35, time: 0.259, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0409, loss_cls: 0.2091, acc: 92.9087, loss_bbox: 0.2479, loss_mask: 0.2467, loss: 0.7800 2023-11-14 13:19:59,603 - mmdet - INFO - Epoch [3][4450/7330] lr: 1.000e-04, eta: 17:33:21, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0406, loss_cls: 0.2160, acc: 92.4888, loss_bbox: 0.2559, loss_mask: 0.2506, loss: 0.7963 2023-11-14 13:20:12,536 - mmdet - INFO - Epoch [3][4500/7330] lr: 1.000e-04, eta: 17:33:09, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0391, loss_cls: 0.2129, acc: 92.6284, loss_bbox: 0.2517, loss_mask: 0.2442, loss: 0.7808 2023-11-14 13:20:25,498 - mmdet - INFO - Epoch [3][4550/7330] lr: 1.000e-04, eta: 17:32:56, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0433, loss_cls: 0.2232, acc: 92.3323, loss_bbox: 0.2650, loss_mask: 0.2511, loss: 0.8192 2023-11-14 13:20:38,325 - mmdet - INFO - Epoch [3][4600/7330] lr: 1.000e-04, eta: 17:32:42, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0385, loss_cls: 0.2088, acc: 92.6602, loss_bbox: 0.2503, loss_mask: 0.2436, loss: 0.7741 2023-11-14 13:20:51,303 - mmdet - INFO - Epoch [3][4650/7330] lr: 1.000e-04, eta: 17:32:30, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0412, loss_cls: 0.2126, acc: 92.6882, loss_bbox: 0.2517, loss_mask: 0.2456, loss: 0.7876 2023-11-14 13:21:03,934 - mmdet - INFO - Epoch [3][4700/7330] lr: 1.000e-04, eta: 17:32:14, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0387, loss_cls: 0.2080, acc: 92.8301, loss_bbox: 0.2463, loss_mask: 0.2491, loss: 0.7746 2023-11-14 13:21:16,700 - mmdet - INFO - Epoch [3][4750/7330] lr: 1.000e-04, eta: 17:31:59, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0402, loss_cls: 0.2124, acc: 92.7495, loss_bbox: 0.2506, loss_mask: 0.2478, loss: 0.7859 2023-11-14 13:21:29,745 - mmdet - INFO - Epoch [3][4800/7330] lr: 1.000e-04, eta: 17:31:48, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0406, loss_cls: 0.2198, acc: 92.6223, loss_bbox: 0.2487, loss_mask: 0.2474, loss: 0.7940 2023-11-14 13:21:42,595 - mmdet - INFO - Epoch [3][4850/7330] lr: 1.000e-04, eta: 17:31:34, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0372, loss_rpn_bbox: 0.0408, loss_cls: 0.2076, acc: 92.9717, loss_bbox: 0.2453, loss_mask: 0.2475, loss: 0.7785 2023-11-14 13:21:55,338 - mmdet - INFO - Epoch [3][4900/7330] lr: 1.000e-04, eta: 17:31:19, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0408, loss_cls: 0.2161, acc: 92.5898, loss_bbox: 0.2509, loss_mask: 0.2480, loss: 0.7912 2023-11-14 13:22:08,112 - mmdet - INFO - Epoch [3][4950/7330] lr: 1.000e-04, eta: 17:31:05, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0358, loss_rpn_bbox: 0.0407, loss_cls: 0.2092, acc: 92.8032, loss_bbox: 0.2483, loss_mask: 0.2499, loss: 0.7839 2023-11-14 13:22:20,592 - mmdet - INFO - Epoch [3][5000/7330] lr: 1.000e-04, eta: 17:30:46, time: 0.250, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0381, loss_cls: 0.2033, acc: 93.0479, loss_bbox: 0.2399, loss_mask: 0.2383, loss: 0.7530 2023-11-14 13:22:33,565 - mmdet - INFO - Epoch [3][5050/7330] lr: 1.000e-04, eta: 17:30:34, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0414, loss_cls: 0.2199, acc: 92.3816, loss_bbox: 0.2586, loss_mask: 0.2560, loss: 0.8127 2023-11-14 13:22:46,462 - mmdet - INFO - Epoch [3][5100/7330] lr: 1.000e-04, eta: 17:30:21, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0426, loss_cls: 0.2175, acc: 92.5127, loss_bbox: 0.2579, loss_mask: 0.2543, loss: 0.8074 2023-11-14 13:22:59,643 - mmdet - INFO - Epoch [3][5150/7330] lr: 1.000e-04, eta: 17:30:12, time: 0.264, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0391, loss_cls: 0.2118, acc: 92.6318, loss_bbox: 0.2437, loss_mask: 0.2451, loss: 0.7724 2023-11-14 13:23:12,663 - mmdet - INFO - Epoch [3][5200/7330] lr: 1.000e-04, eta: 17:30:00, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0410, loss_cls: 0.2091, acc: 92.7280, loss_bbox: 0.2478, loss_mask: 0.2466, loss: 0.7812 2023-11-14 13:23:25,394 - mmdet - INFO - Epoch [3][5250/7330] lr: 1.000e-04, eta: 17:29:45, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0397, loss_cls: 0.2071, acc: 92.9106, loss_bbox: 0.2383, loss_mask: 0.2433, loss: 0.7642 2023-11-14 13:23:38,151 - mmdet - INFO - Epoch [3][5300/7330] lr: 1.000e-04, eta: 17:29:30, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0367, loss_cls: 0.2041, acc: 93.1191, loss_bbox: 0.2441, loss_mask: 0.2460, loss: 0.7614 2023-11-14 13:23:51,075 - mmdet - INFO - Epoch [3][5350/7330] lr: 1.000e-04, eta: 17:29:18, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0378, loss_cls: 0.2050, acc: 92.9282, loss_bbox: 0.2434, loss_mask: 0.2392, loss: 0.7578 2023-11-14 13:24:03,900 - mmdet - INFO - Epoch [3][5400/7330] lr: 1.000e-04, eta: 17:29:04, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0378, loss_rpn_bbox: 0.0421, loss_cls: 0.2139, acc: 92.5110, loss_bbox: 0.2555, loss_mask: 0.2512, loss: 0.8005 2023-11-14 13:24:16,778 - mmdet - INFO - Epoch [3][5450/7330] lr: 1.000e-04, eta: 17:28:50, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0397, loss_cls: 0.2090, acc: 92.8787, loss_bbox: 0.2442, loss_mask: 0.2535, loss: 0.7811 2023-11-14 13:24:29,588 - mmdet - INFO - Epoch [3][5500/7330] lr: 1.000e-04, eta: 17:28:36, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0395, loss_rpn_bbox: 0.0436, loss_cls: 0.2239, acc: 92.2466, loss_bbox: 0.2601, loss_mask: 0.2543, loss: 0.8214 2023-11-14 13:24:42,695 - mmdet - INFO - Epoch [3][5550/7330] lr: 1.000e-04, eta: 17:28:26, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0415, loss_cls: 0.2134, acc: 92.7427, loss_bbox: 0.2509, loss_mask: 0.2430, loss: 0.7840 2023-11-14 13:24:55,718 - mmdet - INFO - Epoch [3][5600/7330] lr: 1.000e-04, eta: 17:28:14, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0372, loss_cls: 0.2005, acc: 93.0825, loss_bbox: 0.2354, loss_mask: 0.2404, loss: 0.7470 2023-11-14 13:25:08,541 - mmdet - INFO - Epoch [3][5650/7330] lr: 1.000e-04, eta: 17:28:00, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0409, loss_cls: 0.2093, acc: 92.8201, loss_bbox: 0.2509, loss_mask: 0.2514, loss: 0.7885 2023-11-14 13:25:21,124 - mmdet - INFO - Epoch [3][5700/7330] lr: 1.000e-04, eta: 17:27:44, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0360, loss_cls: 0.2064, acc: 92.9807, loss_bbox: 0.2385, loss_mask: 0.2445, loss: 0.7580 2023-11-14 13:25:33,863 - mmdet - INFO - Epoch [3][5750/7330] lr: 1.000e-04, eta: 17:27:29, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0386, loss_cls: 0.2134, acc: 92.7632, loss_bbox: 0.2461, loss_mask: 0.2497, loss: 0.7809 2023-11-14 13:25:46,875 - mmdet - INFO - Epoch [3][5800/7330] lr: 1.000e-04, eta: 17:27:17, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0381, loss_cls: 0.2102, acc: 92.7551, loss_bbox: 0.2491, loss_mask: 0.2480, loss: 0.7786 2023-11-14 13:25:59,710 - mmdet - INFO - Epoch [3][5850/7330] lr: 1.000e-04, eta: 17:27:03, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0408, loss_cls: 0.2158, acc: 92.5259, loss_bbox: 0.2519, loss_mask: 0.2522, loss: 0.7957 2023-11-14 13:26:12,810 - mmdet - INFO - Epoch [3][5900/7330] lr: 1.000e-04, eta: 17:26:53, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0376, loss_rpn_bbox: 0.0404, loss_cls: 0.2062, acc: 92.9604, loss_bbox: 0.2473, loss_mask: 0.2495, loss: 0.7810 2023-11-14 13:26:25,823 - mmdet - INFO - Epoch [3][5950/7330] lr: 1.000e-04, eta: 17:26:41, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0421, loss_cls: 0.2076, acc: 92.7878, loss_bbox: 0.2473, loss_mask: 0.2483, loss: 0.7819 2023-11-14 13:26:38,830 - mmdet - INFO - Epoch [3][6000/7330] lr: 1.000e-04, eta: 17:26:29, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0403, loss_cls: 0.2087, acc: 92.7000, loss_bbox: 0.2468, loss_mask: 0.2527, loss: 0.7845 2023-11-14 13:26:51,503 - mmdet - INFO - Epoch [3][6050/7330] lr: 1.000e-04, eta: 17:26:13, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0378, loss_cls: 0.2094, acc: 92.8596, loss_bbox: 0.2440, loss_mask: 0.2432, loss: 0.7665 2023-11-14 13:27:04,462 - mmdet - INFO - Epoch [3][6100/7330] lr: 1.000e-04, eta: 17:26:01, time: 0.259, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0382, loss_cls: 0.2025, acc: 92.9609, loss_bbox: 0.2428, loss_mask: 0.2467, loss: 0.7652 2023-11-14 13:27:17,248 - mmdet - INFO - Epoch [3][6150/7330] lr: 1.000e-04, eta: 17:25:47, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0378, loss_cls: 0.2067, acc: 92.8994, loss_bbox: 0.2459, loss_mask: 0.2454, loss: 0.7707 2023-11-14 13:27:30,212 - mmdet - INFO - Epoch [3][6200/7330] lr: 1.000e-04, eta: 17:25:35, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0395, loss_cls: 0.2072, acc: 92.8811, loss_bbox: 0.2394, loss_mask: 0.2423, loss: 0.7636 2023-11-14 13:27:43,385 - mmdet - INFO - Epoch [3][6250/7330] lr: 1.000e-04, eta: 17:25:25, time: 0.263, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0373, loss_cls: 0.2039, acc: 92.8760, loss_bbox: 0.2469, loss_mask: 0.2444, loss: 0.7649 2023-11-14 13:27:56,687 - mmdet - INFO - Epoch [3][6300/7330] lr: 1.000e-04, eta: 17:25:16, time: 0.266, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0364, loss_rpn_bbox: 0.0427, loss_cls: 0.2175, acc: 92.5051, loss_bbox: 0.2503, loss_mask: 0.2510, loss: 0.7979 2023-11-14 13:28:09,310 - mmdet - INFO - Epoch [3][6350/7330] lr: 1.000e-04, eta: 17:25:00, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0413, loss_cls: 0.2218, acc: 92.3691, loss_bbox: 0.2621, loss_mask: 0.2461, loss: 0.8058 2023-11-14 13:28:22,028 - mmdet - INFO - Epoch [3][6400/7330] lr: 1.000e-04, eta: 17:24:45, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0387, loss_cls: 0.2082, acc: 92.9805, loss_bbox: 0.2464, loss_mask: 0.2450, loss: 0.7751 2023-11-14 13:28:34,925 - mmdet - INFO - Epoch [3][6450/7330] lr: 1.000e-04, eta: 17:24:32, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0393, loss_cls: 0.2167, acc: 92.5818, loss_bbox: 0.2518, loss_mask: 0.2448, loss: 0.7872 2023-11-14 13:28:47,676 - mmdet - INFO - Epoch [3][6500/7330] lr: 1.000e-04, eta: 17:24:17, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0396, loss_cls: 0.2102, acc: 92.7317, loss_bbox: 0.2484, loss_mask: 0.2483, loss: 0.7833 2023-11-14 13:29:00,429 - mmdet - INFO - Epoch [3][6550/7330] lr: 1.000e-04, eta: 17:24:03, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0425, loss_cls: 0.2189, acc: 92.4392, loss_bbox: 0.2581, loss_mask: 0.2482, loss: 0.8039 2023-11-14 13:29:13,326 - mmdet - INFO - Epoch [3][6600/7330] lr: 1.000e-04, eta: 17:23:50, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0398, loss_cls: 0.2109, acc: 92.7998, loss_bbox: 0.2473, loss_mask: 0.2455, loss: 0.7760 2023-11-14 13:29:26,206 - mmdet - INFO - Epoch [3][6650/7330] lr: 1.000e-04, eta: 17:23:36, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0410, loss_cls: 0.2136, acc: 92.6782, loss_bbox: 0.2493, loss_mask: 0.2482, loss: 0.7889 2023-11-14 13:29:38,809 - mmdet - INFO - Epoch [3][6700/7330] lr: 1.000e-04, eta: 17:23:20, time: 0.252, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0390, loss_cls: 0.2094, acc: 92.8289, loss_bbox: 0.2469, loss_mask: 0.2407, loss: 0.7695 2023-11-14 13:29:51,583 - mmdet - INFO - Epoch [3][6750/7330] lr: 1.000e-04, eta: 17:23:06, time: 0.255, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0432, loss_cls: 0.2138, acc: 92.5146, loss_bbox: 0.2529, loss_mask: 0.2404, loss: 0.7857 2023-11-14 13:30:04,490 - mmdet - INFO - Epoch [3][6800/7330] lr: 1.000e-04, eta: 17:22:53, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0424, loss_cls: 0.2188, acc: 92.3953, loss_bbox: 0.2541, loss_mask: 0.2484, loss: 0.7985 2023-11-14 13:30:17,113 - mmdet - INFO - Epoch [3][6850/7330] lr: 1.000e-04, eta: 17:22:37, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0387, loss_cls: 0.2054, acc: 92.7446, loss_bbox: 0.2475, loss_mask: 0.2495, loss: 0.7741 2023-11-14 13:30:29,992 - mmdet - INFO - Epoch [3][6900/7330] lr: 1.000e-04, eta: 17:22:23, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0385, loss_rpn_bbox: 0.0418, loss_cls: 0.2129, acc: 92.6863, loss_bbox: 0.2491, loss_mask: 0.2563, loss: 0.7985 2023-11-14 13:30:42,703 - mmdet - INFO - Epoch [3][6950/7330] lr: 1.000e-04, eta: 17:22:08, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0393, loss_cls: 0.2097, acc: 92.8850, loss_bbox: 0.2445, loss_mask: 0.2451, loss: 0.7742 2023-11-14 13:30:55,415 - mmdet - INFO - Epoch [3][7000/7330] lr: 1.000e-04, eta: 17:21:53, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0381, loss_cls: 0.2045, acc: 92.9194, loss_bbox: 0.2459, loss_mask: 0.2484, loss: 0.7717 2023-11-14 13:31:08,221 - mmdet - INFO - Epoch [3][7050/7330] lr: 1.000e-04, eta: 17:21:39, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0365, loss_rpn_bbox: 0.0394, loss_cls: 0.2182, acc: 92.5071, loss_bbox: 0.2542, loss_mask: 0.2553, loss: 0.8037 2023-11-14 13:31:21,183 - mmdet - INFO - Epoch [3][7100/7330] lr: 1.000e-04, eta: 17:21:27, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0369, loss_rpn_bbox: 0.0431, loss_cls: 0.2190, acc: 92.2888, loss_bbox: 0.2607, loss_mask: 0.2511, loss: 0.8108 2023-11-14 13:31:33,987 - mmdet - INFO - Epoch [3][7150/7330] lr: 1.000e-04, eta: 17:21:13, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0388, loss_cls: 0.2037, acc: 93.0247, loss_bbox: 0.2401, loss_mask: 0.2485, loss: 0.7683 2023-11-14 13:31:47,420 - mmdet - INFO - Epoch [3][7200/7330] lr: 1.000e-04, eta: 17:21:06, time: 0.269, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0423, loss_cls: 0.2067, acc: 92.8440, loss_bbox: 0.2462, loss_mask: 0.2504, loss: 0.7813 2023-11-14 13:32:00,300 - mmdet - INFO - Epoch [3][7250/7330] lr: 1.000e-04, eta: 17:20:53, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0407, loss_cls: 0.2066, acc: 93.0068, loss_bbox: 0.2412, loss_mask: 0.2464, loss: 0.7687 2023-11-14 13:32:13,142 - mmdet - INFO - Epoch [3][7300/7330] lr: 1.000e-04, eta: 17:20:39, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0385, loss_cls: 0.2085, acc: 92.8425, loss_bbox: 0.2447, loss_mask: 0.2456, loss: 0.7697 2023-11-14 13:32:21,317 - mmdet - INFO - Saving checkpoint at 3 epochs 2023-11-14 13:33:09,245 - mmdet - INFO - Evaluating bbox... 2023-11-14 13:33:41,964 - 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 ] = 0.650 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.458 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.269 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.454 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.534 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 ] = 0.385 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 ] = 0.690 2023-11-14 13:33:41,967 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.545 | bicycle | 0.323 | car | 0.437 | | motorcycle | 0.416 | airplane | 0.651 | bus | 0.641 | | train | 0.606 | truck | 0.363 | boat | 0.267 | | traffic light | 0.287 | fire hydrant | 0.667 | stop sign | 0.600 | | parking meter | 0.446 | bench | 0.240 | bird | 0.355 | | cat | 0.671 | dog | 0.621 | horse | 0.570 | | sheep | 0.517 | cow | 0.587 | elephant | 0.637 | | bear | 0.687 | zebra | 0.655 | giraffe | 0.628 | | backpack | 0.167 | umbrella | 0.396 | handbag | 0.157 | | tie | 0.296 | suitcase | 0.386 | frisbee | 0.641 | | skis | 0.235 | snowboard | 0.350 | sports ball | 0.429 | | kite | 0.421 | baseball bat | 0.315 | baseball glove | 0.402 | | skateboard | 0.516 | surfboard | 0.386 | tennis racket | 0.464 | | bottle | 0.401 | wine glass | 0.354 | cup | 0.445 | | fork | 0.329 | knife | 0.174 | spoon | 0.176 | | bowl | 0.439 | banana | 0.265 | apple | 0.214 | | sandwich | 0.313 | orange | 0.306 | broccoli | 0.222 | | carrot | 0.205 | hot dog | 0.365 | pizza | 0.496 | | donut | 0.503 | cake | 0.355 | chair | 0.305 | | couch | 0.412 | potted plant | 0.274 | bed | 0.440 | | dining table | 0.261 | toilet | 0.581 | tv | 0.575 | | laptop | 0.602 | mouse | 0.587 | remote | 0.310 | | keyboard | 0.489 | cell phone | 0.353 | microwave | 0.600 | | oven | 0.337 | toaster | 0.429 | sink | 0.371 | | refrigerator | 0.541 | book | 0.150 | clock | 0.509 | | vase | 0.382 | scissors | 0.360 | teddy bear | 0.453 | | hair drier | 0.051 | toothbrush | 0.193 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 13:33:41,967 - mmdet - INFO - Evaluating segm... 2023-11-14 13:34:21,269 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.381 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.614 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.404 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.192 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.419 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.558 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.509 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.509 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.509 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.320 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 ] = 0.670 2023-11-14 13:34:21,272 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.461 | bicycle | 0.197 | car | 0.391 | | motorcycle | 0.331 | airplane | 0.516 | bus | 0.644 | | train | 0.630 | truck | 0.365 | boat | 0.235 | | traffic light | 0.275 | fire hydrant | 0.642 | stop sign | 0.633 | | parking meter | 0.480 | bench | 0.178 | bird | 0.294 | | cat | 0.704 | dog | 0.606 | horse | 0.420 | | sheep | 0.475 | cow | 0.504 | elephant | 0.578 | | bear | 0.716 | zebra | 0.560 | giraffe | 0.494 | | backpack | 0.171 | umbrella | 0.487 | handbag | 0.172 | | tie | 0.293 | suitcase | 0.423 | frisbee | 0.604 | | skis | 0.022 | snowboard | 0.216 | sports ball | 0.409 | | kite | 0.296 | baseball bat | 0.232 | baseball glove | 0.426 | | skateboard | 0.296 | surfboard | 0.331 | tennis racket | 0.540 | | bottle | 0.390 | wine glass | 0.311 | cup | 0.450 | | fork | 0.163 | knife | 0.126 | spoon | 0.119 | | bowl | 0.417 | banana | 0.214 | apple | 0.204 | | sandwich | 0.363 | orange | 0.331 | broccoli | 0.214 | | carrot | 0.172 | hot dog | 0.289 | pizza | 0.488 | | donut | 0.524 | cake | 0.380 | chair | 0.220 | | couch | 0.373 | potted plant | 0.242 | bed | 0.363 | | dining table | 0.145 | toilet | 0.618 | tv | 0.618 | | laptop | 0.618 | mouse | 0.593 | remote | 0.289 | | keyboard | 0.501 | cell phone | 0.335 | microwave | 0.612 | | oven | 0.342 | toaster | 0.468 | sink | 0.376 | | refrigerator | 0.575 | book | 0.101 | clock | 0.496 | | vase | 0.397 | scissors | 0.245 | teddy bear | 0.454 | | hair drier | 0.014 | toothbrush | 0.115 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 13:34:21,813 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_2.pth was removed 2023-11-14 13:34:23,574 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_3.pth. 2023-11-14 13:34:23,574 - mmdet - INFO - Best bbox_mAP is 0.4138 at 3 epoch. 2023-11-14 13:34:23,574 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 13:34:23,575 - mmdet - INFO - Epoch(val) [3][625] bbox_mAP: 0.4138, bbox_mAP_50: 0.6501, bbox_mAP_75: 0.4576, bbox_mAP_s: 0.2691, bbox_mAP_m: 0.4538, bbox_mAP_l: 0.5342, bbox_mAP_copypaste: 0.4138 0.6501 0.4576 0.2691 0.4538 0.5342, segm_mAP: 0.3814, segm_mAP_50: 0.6143, segm_mAP_75: 0.4044, segm_mAP_s: 0.1919, segm_mAP_m: 0.4192, segm_mAP_l: 0.5582, segm_mAP_copypaste: 0.3814 0.6143 0.4044 0.1919 0.4192 0.5582 2023-11-14 13:34:39,927 - mmdet - INFO - Epoch [4][50/7330] lr: 1.000e-04, eta: 17:19:31, time: 0.327, data_time: 0.079, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0390, loss_cls: 0.2064, acc: 92.9673, loss_bbox: 0.2404, loss_mask: 0.2437, loss: 0.7618 2023-11-14 13:34:53,249 - mmdet - INFO - Epoch [4][100/7330] lr: 1.000e-04, eta: 17:19:23, time: 0.266, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0384, loss_cls: 0.1996, acc: 93.0322, loss_bbox: 0.2465, loss_mask: 0.2445, loss: 0.7619 2023-11-14 13:35:06,609 - mmdet - INFO - Epoch [4][150/7330] lr: 1.000e-04, eta: 17:19:15, time: 0.267, data_time: 0.019, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0374, loss_cls: 0.2033, acc: 92.9314, loss_bbox: 0.2441, loss_mask: 0.2358, loss: 0.7519 2023-11-14 13:35:19,698 - mmdet - INFO - Epoch [4][200/7330] lr: 1.000e-04, eta: 17:19:04, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0374, loss_cls: 0.1962, acc: 93.1477, loss_bbox: 0.2360, loss_mask: 0.2356, loss: 0.7352 2023-11-14 13:35:33,023 - mmdet - INFO - Epoch [4][250/7330] lr: 1.000e-04, eta: 17:18:56, time: 0.266, data_time: 0.019, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0393, loss_cls: 0.2088, acc: 92.7473, loss_bbox: 0.2516, loss_mask: 0.2402, loss: 0.7729 2023-11-14 13:35:46,561 - mmdet - INFO - Epoch [4][300/7330] lr: 1.000e-04, eta: 17:18:50, time: 0.271, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0396, loss_cls: 0.2101, acc: 92.6819, loss_bbox: 0.2480, loss_mask: 0.2542, loss: 0.7840 2023-11-14 13:35:59,569 - mmdet - INFO - Epoch [4][350/7330] lr: 1.000e-04, eta: 17:18:38, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0365, loss_cls: 0.2024, acc: 93.0564, loss_bbox: 0.2350, loss_mask: 0.2382, loss: 0.7414 2023-11-14 13:36:12,198 - mmdet - INFO - Epoch [4][400/7330] lr: 1.000e-04, eta: 17:18:23, time: 0.253, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0384, loss_cls: 0.2068, acc: 92.6418, loss_bbox: 0.2502, loss_mask: 0.2422, loss: 0.7690 2023-11-14 13:36:25,087 - mmdet - INFO - Epoch [4][450/7330] lr: 1.000e-04, eta: 17:18:10, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0403, loss_cls: 0.2048, acc: 92.8379, loss_bbox: 0.2480, loss_mask: 0.2459, loss: 0.7711 2023-11-14 13:36:38,566 - mmdet - INFO - Epoch [4][500/7330] lr: 1.000e-04, eta: 17:18:03, time: 0.270, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0368, loss_rpn_bbox: 0.0434, loss_cls: 0.2090, acc: 92.6538, loss_bbox: 0.2581, loss_mask: 0.2479, loss: 0.7952 2023-11-14 13:36:51,835 - mmdet - INFO - Epoch [4][550/7330] lr: 1.000e-04, eta: 17:17:54, time: 0.265, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0415, loss_cls: 0.1975, acc: 93.0723, loss_bbox: 0.2403, loss_mask: 0.2417, loss: 0.7554 2023-11-14 13:37:04,717 - mmdet - INFO - Epoch [4][600/7330] lr: 1.000e-04, eta: 17:17:41, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0374, loss_cls: 0.1954, acc: 93.2722, loss_bbox: 0.2341, loss_mask: 0.2367, loss: 0.7354 2023-11-14 13:37:17,449 - mmdet - INFO - Epoch [4][650/7330] lr: 1.000e-04, eta: 17:17:26, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0397, loss_cls: 0.2026, acc: 92.9021, loss_bbox: 0.2475, loss_mask: 0.2362, loss: 0.7616 2023-11-14 13:37:30,307 - mmdet - INFO - Epoch [4][700/7330] lr: 1.000e-04, eta: 17:17:13, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0381, loss_cls: 0.2026, acc: 92.9275, loss_bbox: 0.2441, loss_mask: 0.2399, loss: 0.7555 2023-11-14 13:37:43,292 - mmdet - INFO - Epoch [4][750/7330] lr: 1.000e-04, eta: 17:17:01, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0406, loss_cls: 0.2086, acc: 92.6924, loss_bbox: 0.2532, loss_mask: 0.2400, loss: 0.7767 2023-11-14 13:37:56,384 - mmdet - INFO - Epoch [4][800/7330] lr: 1.000e-04, eta: 17:16:50, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0376, loss_cls: 0.2067, acc: 92.8174, loss_bbox: 0.2412, loss_mask: 0.2391, loss: 0.7595 2023-11-14 13:38:09,472 - mmdet - INFO - Epoch [4][850/7330] lr: 1.000e-04, eta: 17:16:39, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0371, loss_rpn_bbox: 0.0418, loss_cls: 0.2070, acc: 92.7896, loss_bbox: 0.2525, loss_mask: 0.2483, loss: 0.7867 2023-11-14 13:38:22,485 - mmdet - INFO - Epoch [4][900/7330] lr: 1.000e-04, eta: 17:16:27, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0404, loss_cls: 0.1993, acc: 92.9768, loss_bbox: 0.2425, loss_mask: 0.2413, loss: 0.7575 2023-11-14 13:38:35,514 - mmdet - INFO - Epoch [4][950/7330] lr: 1.000e-04, eta: 17:16:15, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0373, loss_cls: 0.1927, acc: 93.2878, loss_bbox: 0.2325, loss_mask: 0.2371, loss: 0.7324 2023-11-14 13:38:48,601 - mmdet - INFO - Epoch [4][1000/7330] lr: 1.000e-04, eta: 17:16:04, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0410, loss_cls: 0.2067, acc: 92.7876, loss_bbox: 0.2470, loss_mask: 0.2452, loss: 0.7739 2023-11-14 13:39:01,633 - mmdet - INFO - Epoch [4][1050/7330] lr: 1.000e-04, eta: 17:15:53, time: 0.261, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0407, loss_cls: 0.2076, acc: 92.6692, loss_bbox: 0.2524, loss_mask: 0.2451, loss: 0.7808 2023-11-14 13:39:14,627 - mmdet - INFO - Epoch [4][1100/7330] lr: 1.000e-04, eta: 17:15:41, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0400, loss_cls: 0.2135, acc: 92.6057, loss_bbox: 0.2530, loss_mask: 0.2423, loss: 0.7817 2023-11-14 13:39:27,458 - mmdet - INFO - Epoch [4][1150/7330] lr: 1.000e-04, eta: 17:15:27, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0392, loss_cls: 0.2067, acc: 92.7742, loss_bbox: 0.2508, loss_mask: 0.2476, loss: 0.7772 2023-11-14 13:39:40,291 - mmdet - INFO - Epoch [4][1200/7330] lr: 1.000e-04, eta: 17:15:14, time: 0.257, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0359, loss_cls: 0.1983, acc: 92.9236, loss_bbox: 0.2410, loss_mask: 0.2391, loss: 0.7417 2023-11-14 13:39:53,200 - mmdet - INFO - Epoch [4][1250/7330] lr: 1.000e-04, eta: 17:15:01, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0403, loss_cls: 0.1972, acc: 93.2827, loss_bbox: 0.2327, loss_mask: 0.2432, loss: 0.7486 2023-11-14 13:40:06,231 - mmdet - INFO - Epoch [4][1300/7330] lr: 1.000e-04, eta: 17:14:49, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0398, loss_cls: 0.1970, acc: 93.0039, loss_bbox: 0.2401, loss_mask: 0.2469, loss: 0.7559 2023-11-14 13:40:18,813 - mmdet - INFO - Epoch [4][1350/7330] lr: 1.000e-04, eta: 17:14:33, time: 0.252, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0355, loss_cls: 0.1903, acc: 93.3545, loss_bbox: 0.2306, loss_mask: 0.2373, loss: 0.7243 2023-11-14 13:40:31,706 - mmdet - INFO - Epoch [4][1400/7330] lr: 1.000e-04, eta: 17:14:20, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0367, loss_cls: 0.1938, acc: 93.2759, loss_bbox: 0.2297, loss_mask: 0.2397, loss: 0.7327 2023-11-14 13:40:44,366 - mmdet - INFO - Epoch [4][1450/7330] lr: 1.000e-04, eta: 17:14:05, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0365, loss_cls: 0.1922, acc: 93.3169, loss_bbox: 0.2336, loss_mask: 0.2421, loss: 0.7363 2023-11-14 13:40:57,298 - mmdet - INFO - Epoch [4][1500/7330] lr: 1.000e-04, eta: 17:13:52, time: 0.259, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0360, loss_rpn_bbox: 0.0411, loss_cls: 0.2120, acc: 92.6292, loss_bbox: 0.2527, loss_mask: 0.2486, loss: 0.7904 2023-11-14 13:41:10,624 - mmdet - INFO - Epoch [4][1550/7330] lr: 1.000e-04, eta: 17:13:43, time: 0.266, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0385, loss_cls: 0.2099, acc: 92.7351, loss_bbox: 0.2515, loss_mask: 0.2412, loss: 0.7750 2023-11-14 13:41:23,906 - mmdet - INFO - Epoch [4][1600/7330] lr: 1.000e-04, eta: 17:13:34, time: 0.266, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0389, loss_cls: 0.2106, acc: 92.7285, loss_bbox: 0.2502, loss_mask: 0.2450, loss: 0.7776 2023-11-14 13:41:36,871 - mmdet - INFO - Epoch [4][1650/7330] lr: 1.000e-04, eta: 17:13:22, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0380, loss_cls: 0.1950, acc: 93.1599, loss_bbox: 0.2418, loss_mask: 0.2376, loss: 0.7447 2023-11-14 13:41:49,755 - mmdet - INFO - Epoch [4][1700/7330] lr: 1.000e-04, eta: 17:13:09, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0391, loss_cls: 0.1975, acc: 93.1411, loss_bbox: 0.2372, loss_mask: 0.2467, loss: 0.7527 2023-11-14 13:42:02,696 - mmdet - INFO - Epoch [4][1750/7330] lr: 1.000e-04, eta: 17:12:56, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0384, loss_cls: 0.2039, acc: 92.9502, loss_bbox: 0.2415, loss_mask: 0.2399, loss: 0.7563 2023-11-14 13:42:21,086 - mmdet - INFO - Epoch [4][1800/7330] lr: 1.000e-04, eta: 17:13:39, time: 0.368, data_time: 0.123, memory: 4452, loss_rpn_cls: 0.0361, loss_rpn_bbox: 0.0400, loss_cls: 0.2124, acc: 92.5198, loss_bbox: 0.2562, loss_mask: 0.2507, loss: 0.7955 2023-11-14 13:42:33,946 - mmdet - INFO - Epoch [4][1850/7330] lr: 1.000e-04, eta: 17:13:25, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0408, loss_cls: 0.2131, acc: 92.6218, loss_bbox: 0.2547, loss_mask: 0.2392, loss: 0.7809 2023-11-14 13:42:46,687 - mmdet - INFO - Epoch [4][1900/7330] lr: 1.000e-04, eta: 17:13:11, time: 0.255, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0418, loss_cls: 0.2168, acc: 92.3672, loss_bbox: 0.2560, loss_mask: 0.2460, loss: 0.7958 2023-11-14 13:42:59,457 - mmdet - INFO - Epoch [4][1950/7330] lr: 1.000e-04, eta: 17:12:56, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0371, loss_cls: 0.2013, acc: 92.9626, loss_bbox: 0.2422, loss_mask: 0.2413, loss: 0.7541 2023-11-14 13:43:12,440 - mmdet - INFO - Epoch [4][2000/7330] lr: 1.000e-04, eta: 17:12:44, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0397, loss_cls: 0.2073, acc: 92.7402, loss_bbox: 0.2497, loss_mask: 0.2482, loss: 0.7775 2023-11-14 13:43:25,654 - mmdet - INFO - Epoch [4][2050/7330] lr: 1.000e-04, eta: 17:12:34, time: 0.264, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0363, loss_rpn_bbox: 0.0412, loss_cls: 0.2136, acc: 92.4939, loss_bbox: 0.2512, loss_mask: 0.2414, loss: 0.7838 2023-11-14 13:43:38,456 - mmdet - INFO - Epoch [4][2100/7330] lr: 1.000e-04, eta: 17:12:20, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0375, loss_cls: 0.1972, acc: 93.2043, loss_bbox: 0.2441, loss_mask: 0.2358, loss: 0.7456 2023-11-14 13:43:51,331 - mmdet - INFO - Epoch [4][2150/7330] lr: 1.000e-04, eta: 17:12:07, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0393, loss_cls: 0.2035, acc: 92.9202, loss_bbox: 0.2387, loss_mask: 0.2411, loss: 0.7580 2023-11-14 13:44:04,174 - mmdet - INFO - Epoch [4][2200/7330] lr: 1.000e-04, eta: 17:11:53, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0380, loss_cls: 0.1997, acc: 93.1199, loss_bbox: 0.2378, loss_mask: 0.2361, loss: 0.7426 2023-11-14 13:44:17,279 - mmdet - INFO - Epoch [4][2250/7330] lr: 1.000e-04, eta: 17:11:42, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0403, loss_cls: 0.2017, acc: 93.0083, loss_bbox: 0.2404, loss_mask: 0.2379, loss: 0.7532 2023-11-14 13:44:30,120 - mmdet - INFO - Epoch [4][2300/7330] lr: 1.000e-04, eta: 17:11:28, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0381, loss_cls: 0.2020, acc: 92.9683, loss_bbox: 0.2427, loss_mask: 0.2390, loss: 0.7549 2023-11-14 13:44:43,012 - mmdet - INFO - Epoch [4][2350/7330] lr: 1.000e-04, eta: 17:11:15, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0400, loss_cls: 0.2037, acc: 92.8542, loss_bbox: 0.2455, loss_mask: 0.2490, loss: 0.7736 2023-11-14 13:44:55,684 - mmdet - INFO - Epoch [4][2400/7330] lr: 1.000e-04, eta: 17:11:00, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0350, loss_cls: 0.1874, acc: 93.6116, loss_bbox: 0.2221, loss_mask: 0.2323, loss: 0.7085 2023-11-14 13:45:08,250 - mmdet - INFO - Epoch [4][2450/7330] lr: 1.000e-04, eta: 17:10:44, time: 0.251, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0369, loss_cls: 0.1966, acc: 93.0981, loss_bbox: 0.2390, loss_mask: 0.2442, loss: 0.7475 2023-11-14 13:45:21,393 - mmdet - INFO - Epoch [4][2500/7330] lr: 1.000e-04, eta: 17:10:33, time: 0.263, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0382, loss_cls: 0.2031, acc: 93.0388, loss_bbox: 0.2408, loss_mask: 0.2486, loss: 0.7649 2023-11-14 13:45:34,417 - mmdet - INFO - Epoch [4][2550/7330] lr: 1.000e-04, eta: 17:10:21, time: 0.260, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0421, loss_cls: 0.2135, acc: 92.6445, loss_bbox: 0.2550, loss_mask: 0.2421, loss: 0.7875 2023-11-14 13:45:47,092 - mmdet - INFO - Epoch [4][2600/7330] lr: 1.000e-04, eta: 17:10:06, time: 0.253, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0387, loss_cls: 0.2031, acc: 92.9197, loss_bbox: 0.2410, loss_mask: 0.2442, loss: 0.7606 2023-11-14 13:46:00,083 - mmdet - INFO - Epoch [4][2650/7330] lr: 1.000e-04, eta: 17:09:54, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0391, loss_cls: 0.1973, acc: 93.0066, loss_bbox: 0.2413, loss_mask: 0.2420, loss: 0.7518 2023-11-14 13:46:13,270 - mmdet - INFO - Epoch [4][2700/7330] lr: 1.000e-04, eta: 17:09:43, time: 0.264, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0362, loss_rpn_bbox: 0.0414, loss_cls: 0.2207, acc: 92.2117, loss_bbox: 0.2658, loss_mask: 0.2522, loss: 0.8164 2023-11-14 13:46:26,290 - mmdet - INFO - Epoch [4][2750/7330] lr: 1.000e-04, eta: 17:09:31, time: 0.260, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0397, loss_cls: 0.2012, acc: 92.9714, loss_bbox: 0.2411, loss_mask: 0.2406, loss: 0.7552 2023-11-14 13:46:38,988 - mmdet - INFO - Epoch [4][2800/7330] lr: 1.000e-04, eta: 17:09:16, time: 0.254, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0372, loss_cls: 0.2027, acc: 92.8647, loss_bbox: 0.2391, loss_mask: 0.2383, loss: 0.7489 2023-11-14 13:46:52,098 - mmdet - INFO - Epoch [4][2850/7330] lr: 1.000e-04, eta: 17:09:05, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0388, loss_rpn_bbox: 0.0409, loss_cls: 0.2107, acc: 92.6929, loss_bbox: 0.2484, loss_mask: 0.2500, loss: 0.7887 2023-11-14 13:47:05,117 - mmdet - INFO - Epoch [4][2900/7330] lr: 1.000e-04, eta: 17:08:53, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0401, loss_cls: 0.2076, acc: 92.6780, loss_bbox: 0.2541, loss_mask: 0.2426, loss: 0.7790 2023-11-14 13:47:17,920 - mmdet - INFO - Epoch [4][2950/7330] lr: 1.000e-04, eta: 17:08:39, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0386, loss_cls: 0.2059, acc: 92.8464, loss_bbox: 0.2469, loss_mask: 0.2451, loss: 0.7700 2023-11-14 13:47:30,577 - mmdet - INFO - Epoch [4][3000/7330] lr: 1.000e-04, eta: 17:08:24, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0390, loss_cls: 0.2076, acc: 92.7202, loss_bbox: 0.2485, loss_mask: 0.2406, loss: 0.7673 2023-11-14 13:47:43,100 - mmdet - INFO - Epoch [4][3050/7330] lr: 1.000e-04, eta: 17:08:07, time: 0.250, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0379, loss_cls: 0.1966, acc: 93.2563, loss_bbox: 0.2365, loss_mask: 0.2279, loss: 0.7302 2023-11-14 13:47:55,888 - mmdet - INFO - Epoch [4][3100/7330] lr: 1.000e-04, eta: 17:07:53, time: 0.256, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0413, loss_cls: 0.2079, acc: 92.6919, loss_bbox: 0.2551, loss_mask: 0.2426, loss: 0.7811 2023-11-14 13:48:08,900 - mmdet - INFO - Epoch [4][3150/7330] lr: 1.000e-04, eta: 17:07:41, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0388, loss_cls: 0.2116, acc: 92.7014, loss_bbox: 0.2449, loss_mask: 0.2428, loss: 0.7723 2023-11-14 13:48:22,123 - mmdet - INFO - Epoch [4][3200/7330] lr: 1.000e-04, eta: 17:07:31, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0378, loss_cls: 0.2018, acc: 92.9614, loss_bbox: 0.2422, loss_mask: 0.2407, loss: 0.7543 2023-11-14 13:48:35,107 - mmdet - INFO - Epoch [4][3250/7330] lr: 1.000e-04, eta: 17:07:19, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0375, loss_cls: 0.1990, acc: 93.1223, loss_bbox: 0.2364, loss_mask: 0.2412, loss: 0.7449 2023-11-14 13:48:47,958 - mmdet - INFO - Epoch [4][3300/7330] lr: 1.000e-04, eta: 17:07:06, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0403, loss_cls: 0.2088, acc: 92.6111, loss_bbox: 0.2468, loss_mask: 0.2412, loss: 0.7700 2023-11-14 13:49:00,917 - mmdet - INFO - Epoch [4][3350/7330] lr: 1.000e-04, eta: 17:06:53, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0381, loss_cls: 0.1994, acc: 93.0959, loss_bbox: 0.2389, loss_mask: 0.2379, loss: 0.7456 2023-11-14 13:49:13,612 - mmdet - INFO - Epoch [4][3400/7330] lr: 1.000e-04, eta: 17:06:38, time: 0.254, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0378, loss_cls: 0.2004, acc: 93.0281, loss_bbox: 0.2395, loss_mask: 0.2336, loss: 0.7427 2023-11-14 13:49:26,577 - mmdet - INFO - Epoch [4][3450/7330] lr: 1.000e-04, eta: 17:06:26, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0404, loss_cls: 0.2039, acc: 92.9700, loss_bbox: 0.2437, loss_mask: 0.2439, loss: 0.7663 2023-11-14 13:49:39,562 - mmdet - INFO - Epoch [4][3500/7330] lr: 1.000e-04, eta: 17:06:13, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0359, loss_rpn_bbox: 0.0424, loss_cls: 0.2082, acc: 92.7463, loss_bbox: 0.2467, loss_mask: 0.2478, loss: 0.7809 2023-11-14 13:49:52,605 - mmdet - INFO - Epoch [4][3550/7330] lr: 1.000e-04, eta: 17:06:02, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0375, loss_cls: 0.2009, acc: 92.9912, loss_bbox: 0.2455, loss_mask: 0.2444, loss: 0.7605 2023-11-14 13:50:05,626 - mmdet - INFO - Epoch [4][3600/7330] lr: 1.000e-04, eta: 17:05:50, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0402, loss_cls: 0.2122, acc: 92.6045, loss_bbox: 0.2563, loss_mask: 0.2437, loss: 0.7869 2023-11-14 13:50:18,357 - mmdet - INFO - Epoch [4][3650/7330] lr: 1.000e-04, eta: 17:05:35, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0378, loss_cls: 0.1989, acc: 93.0396, loss_bbox: 0.2437, loss_mask: 0.2351, loss: 0.7457 2023-11-14 13:50:31,047 - mmdet - INFO - Epoch [4][3700/7330] lr: 1.000e-04, eta: 17:05:20, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0354, loss_cls: 0.1950, acc: 93.3408, loss_bbox: 0.2301, loss_mask: 0.2367, loss: 0.7278 2023-11-14 13:50:44,141 - mmdet - INFO - Epoch [4][3750/7330] lr: 1.000e-04, eta: 17:05:09, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0391, loss_cls: 0.1917, acc: 93.2307, loss_bbox: 0.2366, loss_mask: 0.2418, loss: 0.7401 2023-11-14 13:50:57,353 - mmdet - INFO - Epoch [4][3800/7330] lr: 1.000e-04, eta: 17:04:59, time: 0.264, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0387, loss_cls: 0.2017, acc: 93.0210, loss_bbox: 0.2422, loss_mask: 0.2381, loss: 0.7545 2023-11-14 13:51:10,270 - mmdet - INFO - Epoch [4][3850/7330] lr: 1.000e-04, eta: 17:04:46, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0377, loss_cls: 0.2074, acc: 92.7368, loss_bbox: 0.2471, loss_mask: 0.2433, loss: 0.7669 2023-11-14 13:51:23,269 - mmdet - INFO - Epoch [4][3900/7330] lr: 1.000e-04, eta: 17:04:34, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0388, loss_cls: 0.2009, acc: 92.9211, loss_bbox: 0.2445, loss_mask: 0.2406, loss: 0.7586 2023-11-14 13:51:36,133 - mmdet - INFO - Epoch [4][3950/7330] lr: 1.000e-04, eta: 17:04:20, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0382, loss_cls: 0.2007, acc: 92.8982, loss_bbox: 0.2458, loss_mask: 0.2422, loss: 0.7571 2023-11-14 13:51:49,105 - mmdet - INFO - Epoch [4][4000/7330] lr: 1.000e-04, eta: 17:04:08, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0380, loss_cls: 0.2057, acc: 92.9448, loss_bbox: 0.2450, loss_mask: 0.2437, loss: 0.7672 2023-11-14 13:52:01,984 - mmdet - INFO - Epoch [4][4050/7330] lr: 1.000e-04, eta: 17:03:55, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0355, loss_rpn_bbox: 0.0383, loss_cls: 0.2029, acc: 92.9854, loss_bbox: 0.2427, loss_mask: 0.2403, loss: 0.7597 2023-11-14 13:52:15,035 - mmdet - INFO - Epoch [4][4100/7330] lr: 1.000e-04, eta: 17:03:43, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0402, loss_cls: 0.2113, acc: 92.6155, loss_bbox: 0.2486, loss_mask: 0.2443, loss: 0.7800 2023-11-14 13:52:28,045 - mmdet - INFO - Epoch [4][4150/7330] lr: 1.000e-04, eta: 17:03:31, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0393, loss_cls: 0.2031, acc: 92.8921, loss_bbox: 0.2412, loss_mask: 0.2399, loss: 0.7568 2023-11-14 13:52:40,888 - mmdet - INFO - Epoch [4][4200/7330] lr: 1.000e-04, eta: 17:03:17, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0367, loss_rpn_bbox: 0.0412, loss_cls: 0.2044, acc: 92.8218, loss_bbox: 0.2454, loss_mask: 0.2411, loss: 0.7690 2023-11-14 13:52:53,735 - mmdet - INFO - Epoch [4][4250/7330] lr: 1.000e-04, eta: 17:03:04, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0377, loss_cls: 0.2028, acc: 93.0676, loss_bbox: 0.2384, loss_mask: 0.2417, loss: 0.7542 2023-11-14 13:53:06,668 - mmdet - INFO - Epoch [4][4300/7330] lr: 1.000e-04, eta: 17:02:51, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0390, loss_cls: 0.1942, acc: 93.2205, loss_bbox: 0.2355, loss_mask: 0.2374, loss: 0.7388 2023-11-14 13:53:19,676 - mmdet - INFO - Epoch [4][4350/7330] lr: 1.000e-04, eta: 17:02:39, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0369, loss_cls: 0.1932, acc: 93.2375, loss_bbox: 0.2377, loss_mask: 0.2440, loss: 0.7444 2023-11-14 13:53:32,410 - mmdet - INFO - Epoch [4][4400/7330] lr: 1.000e-04, eta: 17:02:24, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0368, loss_cls: 0.1969, acc: 93.2717, loss_bbox: 0.2279, loss_mask: 0.2385, loss: 0.7330 2023-11-14 13:53:45,420 - mmdet - INFO - Epoch [4][4450/7330] lr: 1.000e-04, eta: 17:02:12, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0412, loss_cls: 0.2016, acc: 93.0422, loss_bbox: 0.2372, loss_mask: 0.2335, loss: 0.7466 2023-11-14 13:53:58,206 - mmdet - INFO - Epoch [4][4500/7330] lr: 1.000e-04, eta: 17:01:58, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0391, loss_cls: 0.2070, acc: 92.8667, loss_bbox: 0.2439, loss_mask: 0.2430, loss: 0.7684 2023-11-14 13:54:11,061 - mmdet - INFO - Epoch [4][4550/7330] lr: 1.000e-04, eta: 17:01:45, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0373, loss_rpn_bbox: 0.0423, loss_cls: 0.2112, acc: 92.6267, loss_bbox: 0.2482, loss_mask: 0.2418, loss: 0.7807 2023-11-14 13:54:23,600 - mmdet - INFO - Epoch [4][4600/7330] lr: 1.000e-04, eta: 17:01:28, time: 0.251, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0382, loss_cls: 0.2002, acc: 93.1221, loss_bbox: 0.2410, loss_mask: 0.2431, loss: 0.7574 2023-11-14 13:54:36,402 - mmdet - INFO - Epoch [4][4650/7330] lr: 1.000e-04, eta: 17:01:15, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0388, loss_cls: 0.1961, acc: 93.1218, loss_bbox: 0.2378, loss_mask: 0.2390, loss: 0.7441 2023-11-14 13:54:49,271 - mmdet - INFO - Epoch [4][4700/7330] lr: 1.000e-04, eta: 17:01:01, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0339, loss_rpn_bbox: 0.0399, loss_cls: 0.2049, acc: 92.8337, loss_bbox: 0.2480, loss_mask: 0.2442, loss: 0.7709 2023-11-14 13:55:01,804 - mmdet - INFO - Epoch [4][4750/7330] lr: 1.000e-04, eta: 17:00:45, time: 0.251, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0356, loss_cls: 0.1960, acc: 93.2122, loss_bbox: 0.2346, loss_mask: 0.2324, loss: 0.7292 2023-11-14 13:55:14,614 - mmdet - INFO - Epoch [4][4800/7330] lr: 1.000e-04, eta: 17:00:31, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0374, loss_cls: 0.2017, acc: 92.8760, loss_bbox: 0.2464, loss_mask: 0.2381, loss: 0.7538 2023-11-14 13:55:27,479 - mmdet - INFO - Epoch [4][4850/7330] lr: 1.000e-04, eta: 17:00:18, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0344, loss_rpn_bbox: 0.0398, loss_cls: 0.2119, acc: 92.6848, loss_bbox: 0.2514, loss_mask: 0.2434, loss: 0.7810 2023-11-14 13:55:40,539 - mmdet - INFO - Epoch [4][4900/7330] lr: 1.000e-04, eta: 17:00:06, time: 0.261, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0347, loss_rpn_bbox: 0.0419, loss_cls: 0.2104, acc: 92.5710, loss_bbox: 0.2531, loss_mask: 0.2444, loss: 0.7844 2023-11-14 13:55:53,407 - mmdet - INFO - Epoch [4][4950/7330] lr: 1.000e-04, eta: 16:59:53, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0374, loss_cls: 0.2026, acc: 92.9800, loss_bbox: 0.2383, loss_mask: 0.2380, loss: 0.7489 2023-11-14 13:56:06,465 - mmdet - INFO - Epoch [4][5000/7330] lr: 1.000e-04, eta: 16:59:41, time: 0.261, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0398, loss_cls: 0.2089, acc: 92.8062, loss_bbox: 0.2424, loss_mask: 0.2510, loss: 0.7762 2023-11-14 13:56:19,282 - mmdet - INFO - Epoch [4][5050/7330] lr: 1.000e-04, eta: 16:59:27, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0400, loss_cls: 0.2113, acc: 92.5762, loss_bbox: 0.2500, loss_mask: 0.2436, loss: 0.7795 2023-11-14 13:56:32,105 - mmdet - INFO - Epoch [4][5100/7330] lr: 1.000e-04, eta: 16:59:14, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0366, loss_rpn_bbox: 0.0412, loss_cls: 0.1983, acc: 93.0413, loss_bbox: 0.2461, loss_mask: 0.2429, loss: 0.7651 2023-11-14 13:56:44,973 - mmdet - INFO - Epoch [4][5150/7330] lr: 1.000e-04, eta: 16:59:00, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0401, loss_cls: 0.1999, acc: 93.0498, loss_bbox: 0.2431, loss_mask: 0.2464, loss: 0.7617 2023-11-14 13:56:57,455 - mmdet - INFO - Epoch [4][5200/7330] lr: 1.000e-04, eta: 16:58:44, time: 0.250, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0376, loss_cls: 0.2012, acc: 93.0474, loss_bbox: 0.2418, loss_mask: 0.2393, loss: 0.7513 2023-11-14 13:57:10,273 - mmdet - INFO - Epoch [4][5250/7330] lr: 1.000e-04, eta: 16:58:30, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0398, loss_cls: 0.2074, acc: 92.7561, loss_bbox: 0.2497, loss_mask: 0.2428, loss: 0.7741 2023-11-14 13:57:23,159 - mmdet - INFO - Epoch [4][5300/7330] lr: 1.000e-04, eta: 16:58:17, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0391, loss_cls: 0.2084, acc: 92.6682, loss_bbox: 0.2498, loss_mask: 0.2443, loss: 0.7746 2023-11-14 13:57:36,152 - mmdet - INFO - Epoch [4][5350/7330] lr: 1.000e-04, eta: 16:58:05, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0378, loss_cls: 0.2033, acc: 92.9868, loss_bbox: 0.2437, loss_mask: 0.2400, loss: 0.7597 2023-11-14 13:57:48,731 - mmdet - INFO - Epoch [4][5400/7330] lr: 1.000e-04, eta: 16:57:49, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0370, loss_cls: 0.2019, acc: 93.0876, loss_bbox: 0.2385, loss_mask: 0.2453, loss: 0.7536 2023-11-14 13:58:01,636 - mmdet - INFO - Epoch [4][5450/7330] lr: 1.000e-04, eta: 16:57:36, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0382, loss_cls: 0.1937, acc: 93.1313, loss_bbox: 0.2341, loss_mask: 0.2365, loss: 0.7368 2023-11-14 13:58:14,664 - mmdet - INFO - Epoch [4][5500/7330] lr: 1.000e-04, eta: 16:57:24, time: 0.261, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0384, loss_cls: 0.2007, acc: 93.0522, loss_bbox: 0.2393, loss_mask: 0.2432, loss: 0.7565 2023-11-14 13:58:27,460 - mmdet - INFO - Epoch [4][5550/7330] lr: 1.000e-04, eta: 16:57:10, time: 0.256, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0414, loss_cls: 0.2060, acc: 92.8181, loss_bbox: 0.2483, loss_mask: 0.2464, loss: 0.7760 2023-11-14 13:58:40,622 - mmdet - INFO - Epoch [4][5600/7330] lr: 1.000e-04, eta: 16:56:59, time: 0.263, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0357, loss_rpn_bbox: 0.0411, loss_cls: 0.2085, acc: 92.6252, loss_bbox: 0.2539, loss_mask: 0.2433, loss: 0.7825 2023-11-14 13:58:53,233 - mmdet - INFO - Epoch [4][5650/7330] lr: 1.000e-04, eta: 16:56:44, time: 0.252, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0346, loss_rpn_bbox: 0.0407, loss_cls: 0.2145, acc: 92.6130, loss_bbox: 0.2542, loss_mask: 0.2414, loss: 0.7854 2023-11-14 13:59:06,104 - mmdet - INFO - Epoch [4][5700/7330] lr: 1.000e-04, eta: 16:56:30, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0337, loss_rpn_bbox: 0.0394, loss_cls: 0.2065, acc: 92.7585, loss_bbox: 0.2457, loss_mask: 0.2392, loss: 0.7645 2023-11-14 13:59:18,914 - mmdet - INFO - Epoch [4][5750/7330] lr: 1.000e-04, eta: 16:56:17, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0369, loss_cls: 0.2109, acc: 92.6775, loss_bbox: 0.2479, loss_mask: 0.2425, loss: 0.7718 2023-11-14 13:59:31,557 - mmdet - INFO - Epoch [4][5800/7330] lr: 1.000e-04, eta: 16:56:02, time: 0.253, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0371, loss_cls: 0.2071, acc: 92.7676, loss_bbox: 0.2442, loss_mask: 0.2407, loss: 0.7623 2023-11-14 13:59:44,410 - mmdet - INFO - Epoch [4][5850/7330] lr: 1.000e-04, eta: 16:55:48, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0396, loss_cls: 0.2020, acc: 93.0305, loss_bbox: 0.2417, loss_mask: 0.2424, loss: 0.7574 2023-11-14 13:59:57,120 - mmdet - INFO - Epoch [4][5900/7330] lr: 1.000e-04, eta: 16:55:33, time: 0.254, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0340, loss_rpn_bbox: 0.0382, loss_cls: 0.1945, acc: 93.2485, loss_bbox: 0.2375, loss_mask: 0.2380, loss: 0.7421 2023-11-14 14:00:09,709 - mmdet - INFO - Epoch [4][5950/7330] lr: 1.000e-04, eta: 16:55:18, time: 0.252, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0376, loss_cls: 0.2003, acc: 92.9412, loss_bbox: 0.2405, loss_mask: 0.2325, loss: 0.7443 2023-11-14 14:00:22,550 - mmdet - INFO - Epoch [4][6000/7330] lr: 1.000e-04, eta: 16:55:04, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0394, loss_cls: 0.2116, acc: 92.7324, loss_bbox: 0.2473, loss_mask: 0.2413, loss: 0.7715 2023-11-14 14:00:35,553 - mmdet - INFO - Epoch [4][6050/7330] lr: 1.000e-04, eta: 16:54:52, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0387, loss_cls: 0.1998, acc: 92.9607, loss_bbox: 0.2394, loss_mask: 0.2371, loss: 0.7471 2023-11-14 14:00:48,627 - mmdet - INFO - Epoch [4][6100/7330] lr: 1.000e-04, eta: 16:54:41, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0356, loss_rpn_bbox: 0.0424, loss_cls: 0.2136, acc: 92.5181, loss_bbox: 0.2526, loss_mask: 0.2475, loss: 0.7917 2023-11-14 14:01:01,439 - mmdet - INFO - Epoch [4][6150/7330] lr: 1.000e-04, eta: 16:54:27, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0383, loss_cls: 0.2012, acc: 93.0215, loss_bbox: 0.2415, loss_mask: 0.2388, loss: 0.7531 2023-11-14 14:01:14,198 - mmdet - INFO - Epoch [4][6200/7330] lr: 1.000e-04, eta: 16:54:13, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0388, loss_cls: 0.2017, acc: 93.0801, loss_bbox: 0.2391, loss_mask: 0.2422, loss: 0.7546 2023-11-14 14:01:27,077 - mmdet - INFO - Epoch [4][6250/7330] lr: 1.000e-04, eta: 16:54:00, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0364, loss_cls: 0.1993, acc: 93.0715, loss_bbox: 0.2341, loss_mask: 0.2395, loss: 0.7412 2023-11-14 14:01:39,870 - mmdet - INFO - Epoch [4][6300/7330] lr: 1.000e-04, eta: 16:53:46, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0373, loss_cls: 0.2005, acc: 93.0017, loss_bbox: 0.2378, loss_mask: 0.2384, loss: 0.7446 2023-11-14 14:01:52,708 - mmdet - INFO - Epoch [4][6350/7330] lr: 1.000e-04, eta: 16:53:32, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0376, loss_cls: 0.2018, acc: 93.0437, loss_bbox: 0.2438, loss_mask: 0.2416, loss: 0.7585 2023-11-14 14:02:05,580 - mmdet - INFO - Epoch [4][6400/7330] lr: 1.000e-04, eta: 16:53:19, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0378, loss_cls: 0.1999, acc: 93.1582, loss_bbox: 0.2337, loss_mask: 0.2361, loss: 0.7407 2023-11-14 14:02:18,240 - mmdet - INFO - Epoch [4][6450/7330] lr: 1.000e-04, eta: 16:53:04, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0367, loss_cls: 0.1920, acc: 93.3521, loss_bbox: 0.2311, loss_mask: 0.2402, loss: 0.7309 2023-11-14 14:02:30,952 - mmdet - INFO - Epoch [4][6500/7330] lr: 1.000e-04, eta: 16:52:50, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0374, loss_cls: 0.2007, acc: 93.0142, loss_bbox: 0.2431, loss_mask: 0.2391, loss: 0.7518 2023-11-14 14:02:43,619 - mmdet - INFO - Epoch [4][6550/7330] lr: 1.000e-04, eta: 16:52:35, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0345, loss_cls: 0.1833, acc: 93.5566, loss_bbox: 0.2276, loss_mask: 0.2319, loss: 0.7069 2023-11-14 14:02:56,296 - mmdet - INFO - Epoch [4][6600/7330] lr: 1.000e-04, eta: 16:52:20, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0366, loss_cls: 0.1965, acc: 93.0691, loss_bbox: 0.2337, loss_mask: 0.2434, loss: 0.7396 2023-11-14 14:03:09,477 - mmdet - INFO - Epoch [4][6650/7330] lr: 1.000e-04, eta: 16:52:09, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0392, loss_cls: 0.2040, acc: 92.9878, loss_bbox: 0.2406, loss_mask: 0.2432, loss: 0.7604 2023-11-14 14:03:22,170 - mmdet - INFO - Epoch [4][6700/7330] lr: 1.000e-04, eta: 16:51:54, time: 0.254, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0370, loss_cls: 0.1984, acc: 93.1077, loss_bbox: 0.2345, loss_mask: 0.2366, loss: 0.7368 2023-11-14 14:03:35,010 - mmdet - INFO - Epoch [4][6750/7330] lr: 1.000e-04, eta: 16:51:41, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0352, loss_rpn_bbox: 0.0404, loss_cls: 0.2141, acc: 92.6567, loss_bbox: 0.2535, loss_mask: 0.2409, loss: 0.7841 2023-11-14 14:03:48,100 - mmdet - INFO - Epoch [4][6800/7330] lr: 1.000e-04, eta: 16:51:30, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0354, loss_rpn_bbox: 0.0403, loss_cls: 0.2029, acc: 92.9075, loss_bbox: 0.2473, loss_mask: 0.2402, loss: 0.7660 2023-11-14 14:04:01,097 - mmdet - INFO - Epoch [4][6850/7330] lr: 1.000e-04, eta: 16:51:17, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0341, loss_rpn_bbox: 0.0403, loss_cls: 0.2028, acc: 92.8921, loss_bbox: 0.2508, loss_mask: 0.2393, loss: 0.7672 2023-11-14 14:04:14,122 - mmdet - INFO - Epoch [4][6900/7330] lr: 1.000e-04, eta: 16:51:05, time: 0.261, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0392, loss_cls: 0.1994, acc: 92.9929, loss_bbox: 0.2415, loss_mask: 0.2433, loss: 0.7556 2023-11-14 14:04:27,051 - mmdet - INFO - Epoch [4][6950/7330] lr: 1.000e-04, eta: 16:50:53, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0368, loss_cls: 0.2010, acc: 93.0693, loss_bbox: 0.2410, loss_mask: 0.2380, loss: 0.7473 2023-11-14 14:04:39,688 - mmdet - INFO - Epoch [4][7000/7330] lr: 1.000e-04, eta: 16:50:38, time: 0.253, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0370, loss_cls: 0.1962, acc: 93.1646, loss_bbox: 0.2345, loss_mask: 0.2392, loss: 0.7377 2023-11-14 14:04:52,389 - mmdet - INFO - Epoch [4][7050/7330] lr: 1.000e-04, eta: 16:50:23, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0348, loss_rpn_bbox: 0.0384, loss_cls: 0.1963, acc: 93.1592, loss_bbox: 0.2346, loss_mask: 0.2333, loss: 0.7374 2023-11-14 14:05:04,902 - mmdet - INFO - Epoch [4][7100/7330] lr: 1.000e-04, eta: 16:50:07, time: 0.250, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0372, loss_cls: 0.1944, acc: 93.2400, loss_bbox: 0.2337, loss_mask: 0.2354, loss: 0.7326 2023-11-14 14:05:17,525 - mmdet - INFO - Epoch [4][7150/7330] lr: 1.000e-04, eta: 16:49:52, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0375, loss_cls: 0.2051, acc: 92.8721, loss_bbox: 0.2443, loss_mask: 0.2357, loss: 0.7547 2023-11-14 14:05:30,153 - mmdet - INFO - Epoch [4][7200/7330] lr: 1.000e-04, eta: 16:49:37, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0364, loss_cls: 0.2004, acc: 93.1316, loss_bbox: 0.2385, loss_mask: 0.2338, loss: 0.7417 2023-11-14 14:05:42,960 - mmdet - INFO - Epoch [4][7250/7330] lr: 1.000e-04, eta: 16:49:23, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0366, loss_cls: 0.2013, acc: 93.0217, loss_bbox: 0.2359, loss_mask: 0.2437, loss: 0.7490 2023-11-14 14:05:55,950 - mmdet - INFO - Epoch [4][7300/7330] lr: 1.000e-04, eta: 16:49:11, time: 0.260, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0353, loss_rpn_bbox: 0.0400, loss_cls: 0.2120, acc: 92.6638, loss_bbox: 0.2499, loss_mask: 0.2427, loss: 0.7799 2023-11-14 14:06:04,213 - mmdet - INFO - Saving checkpoint at 4 epochs 2023-11-14 14:06:50,095 - mmdet - INFO - Evaluating bbox... 2023-11-14 14:07:25,501 - 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 ] = 0.663 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.478 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.282 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.476 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.554 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 ] = 0.394 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.616 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.700 2023-11-14 14:07:25,503 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.555 | bicycle | 0.337 | car | 0.438 | | motorcycle | 0.449 | airplane | 0.676 | bus | 0.665 | | train | 0.624 | truck | 0.390 | boat | 0.312 | | traffic light | 0.281 | fire hydrant | 0.670 | stop sign | 0.644 | | parking meter | 0.503 | bench | 0.269 | bird | 0.401 | | cat | 0.695 | dog | 0.655 | horse | 0.575 | | sheep | 0.557 | cow | 0.584 | elephant | 0.651 | | bear | 0.695 | zebra | 0.672 | giraffe | 0.657 | | backpack | 0.176 | umbrella | 0.399 | handbag | 0.161 | | tie | 0.313 | suitcase | 0.426 | frisbee | 0.649 | | skis | 0.243 | snowboard | 0.357 | sports ball | 0.436 | | kite | 0.432 | baseball bat | 0.348 | baseball glove | 0.402 | | skateboard | 0.531 | surfboard | 0.419 | tennis racket | 0.476 | | bottle | 0.414 | wine glass | 0.357 | cup | 0.464 | | fork | 0.338 | knife | 0.194 | spoon | 0.206 | | bowl | 0.443 | banana | 0.276 | apple | 0.196 | | sandwich | 0.398 | orange | 0.347 | broccoli | 0.262 | | carrot | 0.227 | hot dog | 0.418 | pizza | 0.521 | | donut | 0.496 | cake | 0.393 | chair | 0.309 | | couch | 0.439 | potted plant | 0.293 | bed | 0.431 | | dining table | 0.261 | toilet | 0.628 | tv | 0.594 | | laptop | 0.600 | mouse | 0.607 | remote | 0.329 | | keyboard | 0.539 | cell phone | 0.398 | microwave | 0.590 | | oven | 0.347 | toaster | 0.437 | sink | 0.390 | | refrigerator | 0.569 | book | 0.148 | clock | 0.515 | | vase | 0.393 | scissors | 0.339 | teddy bear | 0.479 | | hair drier | 0.100 | toothbrush | 0.233 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 14:07:25,503 - mmdet - INFO - Evaluating segm... 2023-11-14 14:08:02,271 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.396 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.631 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.419 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.203 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.431 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.573 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.517 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.517 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.517 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.332 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.572 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.672 2023-11-14 14:08:02,274 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.476 | bicycle | 0.205 | car | 0.403 | | motorcycle | 0.362 | airplane | 0.516 | bus | 0.652 | | train | 0.620 | truck | 0.380 | boat | 0.287 | | traffic light | 0.274 | fire hydrant | 0.655 | stop sign | 0.663 | | parking meter | 0.523 | bench | 0.198 | bird | 0.322 | | cat | 0.701 | dog | 0.613 | horse | 0.430 | | sheep | 0.488 | cow | 0.502 | elephant | 0.603 | | bear | 0.726 | zebra | 0.579 | giraffe | 0.505 | | backpack | 0.177 | umbrella | 0.486 | handbag | 0.186 | | tie | 0.305 | suitcase | 0.442 | frisbee | 0.627 | | skis | 0.039 | snowboard | 0.239 | sports ball | 0.412 | | kite | 0.302 | baseball bat | 0.256 | baseball glove | 0.418 | | skateboard | 0.312 | surfboard | 0.352 | tennis racket | 0.551 | | bottle | 0.395 | wine glass | 0.319 | cup | 0.469 | | fork | 0.175 | knife | 0.130 | spoon | 0.138 | | bowl | 0.424 | banana | 0.223 | apple | 0.193 | | sandwich | 0.431 | orange | 0.351 | broccoli | 0.247 | | carrot | 0.197 | hot dog | 0.342 | pizza | 0.508 | | donut | 0.515 | cake | 0.412 | chair | 0.221 | | couch | 0.381 | potted plant | 0.252 | bed | 0.352 | | dining table | 0.153 | toilet | 0.610 | tv | 0.613 | | laptop | 0.631 | mouse | 0.624 | remote | 0.294 | | keyboard | 0.531 | cell phone | 0.370 | microwave | 0.620 | | oven | 0.353 | toaster | 0.450 | sink | 0.379 | | refrigerator | 0.587 | book | 0.107 | clock | 0.506 | | vase | 0.397 | scissors | 0.260 | teddy bear | 0.484 | | hair drier | 0.065 | toothbrush | 0.154 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 14:08:02,852 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_3.pth was removed 2023-11-14 14:08:04,548 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_4.pth. 2023-11-14 14:08:04,549 - mmdet - INFO - Best bbox_mAP is 0.4330 at 4 epoch. 2023-11-14 14:08:04,549 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 14:08:04,549 - mmdet - INFO - Epoch(val) [4][625] bbox_mAP: 0.4330, bbox_mAP_50: 0.6632, bbox_mAP_75: 0.4776, bbox_mAP_s: 0.2821, bbox_mAP_m: 0.4757, bbox_mAP_l: 0.5538, bbox_mAP_copypaste: 0.4330 0.6632 0.4776 0.2821 0.4757 0.5538, segm_mAP: 0.3956, segm_mAP_50: 0.6313, segm_mAP_75: 0.4191, segm_mAP_s: 0.2029, segm_mAP_m: 0.4311, segm_mAP_l: 0.5731, segm_mAP_copypaste: 0.3956 0.6313 0.4191 0.2029 0.4311 0.5731 2023-11-14 14:08:20,823 - mmdet - INFO - Epoch [5][50/7330] lr: 1.000e-04, eta: 16:48:15, time: 0.325, data_time: 0.077, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0347, loss_cls: 0.1942, acc: 93.2371, loss_bbox: 0.2336, loss_mask: 0.2385, loss: 0.7312 2023-11-14 14:08:34,217 - mmdet - INFO - Epoch [5][100/7330] lr: 1.000e-04, eta: 16:48:06, time: 0.268, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0345, loss_rpn_bbox: 0.0398, loss_cls: 0.1966, acc: 93.0396, loss_bbox: 0.2379, loss_mask: 0.2329, loss: 0.7416 2023-11-14 14:08:47,383 - mmdet - INFO - Epoch [5][150/7330] lr: 1.000e-04, eta: 16:47:55, time: 0.263, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0381, loss_cls: 0.1952, acc: 93.1313, loss_bbox: 0.2368, loss_mask: 0.2355, loss: 0.7378 2023-11-14 14:09:00,641 - mmdet - INFO - Epoch [5][200/7330] lr: 1.000e-04, eta: 16:47:45, time: 0.265, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0338, loss_rpn_bbox: 0.0399, loss_cls: 0.1968, acc: 92.9255, loss_bbox: 0.2436, loss_mask: 0.2347, loss: 0.7489 2023-11-14 14:09:14,244 - mmdet - INFO - Epoch [5][250/7330] lr: 1.000e-04, eta: 16:47:38, time: 0.272, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0358, loss_cls: 0.1850, acc: 93.5000, loss_bbox: 0.2251, loss_mask: 0.2255, loss: 0.7011 2023-11-14 14:09:27,275 - mmdet - INFO - Epoch [5][300/7330] lr: 1.000e-04, eta: 16:47:26, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0382, loss_cls: 0.2009, acc: 92.8816, loss_bbox: 0.2515, loss_mask: 0.2362, loss: 0.7585 2023-11-14 14:09:40,589 - mmdet - INFO - Epoch [5][350/7330] lr: 1.000e-04, eta: 16:47:16, time: 0.266, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0374, loss_cls: 0.1959, acc: 93.1946, loss_bbox: 0.2338, loss_mask: 0.2307, loss: 0.7289 2023-11-14 14:09:53,601 - mmdet - INFO - Epoch [5][400/7330] lr: 1.000e-04, eta: 16:47:04, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0365, loss_cls: 0.1939, acc: 93.1716, loss_bbox: 0.2402, loss_mask: 0.2355, loss: 0.7337 2023-11-14 14:10:06,753 - mmdet - INFO - Epoch [5][450/7330] lr: 1.000e-04, eta: 16:46:53, time: 0.263, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0405, loss_cls: 0.2037, acc: 92.8545, loss_bbox: 0.2407, loss_mask: 0.2390, loss: 0.7552 2023-11-14 14:10:19,839 - mmdet - INFO - Epoch [5][500/7330] lr: 1.000e-04, eta: 16:46:42, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0378, loss_cls: 0.1989, acc: 92.9370, loss_bbox: 0.2419, loss_mask: 0.2410, loss: 0.7502 2023-11-14 14:10:32,972 - mmdet - INFO - Epoch [5][550/7330] lr: 1.000e-04, eta: 16:46:31, time: 0.263, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0384, loss_cls: 0.1981, acc: 93.0344, loss_bbox: 0.2406, loss_mask: 0.2398, loss: 0.7472 2023-11-14 14:10:46,426 - mmdet - INFO - Epoch [5][600/7330] lr: 1.000e-04, eta: 16:46:22, time: 0.269, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0387, loss_cls: 0.1947, acc: 93.1472, loss_bbox: 0.2349, loss_mask: 0.2409, loss: 0.7426 2023-11-14 14:10:59,484 - mmdet - INFO - Epoch [5][650/7330] lr: 1.000e-04, eta: 16:46:10, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0364, loss_cls: 0.1946, acc: 93.1169, loss_bbox: 0.2416, loss_mask: 0.2359, loss: 0.7404 2023-11-14 14:11:12,565 - mmdet - INFO - Epoch [5][700/7330] lr: 1.000e-04, eta: 16:45:59, time: 0.262, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0344, loss_cls: 0.1906, acc: 93.3389, loss_bbox: 0.2300, loss_mask: 0.2307, loss: 0.7162 2023-11-14 14:11:25,570 - mmdet - INFO - Epoch [5][750/7330] lr: 1.000e-04, eta: 16:45:47, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0410, loss_cls: 0.2029, acc: 92.8376, loss_bbox: 0.2472, loss_mask: 0.2405, loss: 0.7660 2023-11-14 14:11:38,537 - mmdet - INFO - Epoch [5][800/7330] lr: 1.000e-04, eta: 16:45:34, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0377, loss_cls: 0.1892, acc: 93.2395, loss_bbox: 0.2372, loss_mask: 0.2415, loss: 0.7354 2023-11-14 14:11:51,560 - mmdet - INFO - Epoch [5][850/7330] lr: 1.000e-04, eta: 16:45:22, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0367, loss_cls: 0.1853, acc: 93.3936, loss_bbox: 0.2309, loss_mask: 0.2401, loss: 0.7241 2023-11-14 14:12:04,910 - mmdet - INFO - Epoch [5][900/7330] lr: 1.000e-04, eta: 16:45:13, time: 0.267, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0354, loss_cls: 0.1905, acc: 93.3213, loss_bbox: 0.2329, loss_mask: 0.2352, loss: 0.7220 2023-11-14 14:12:17,652 - mmdet - INFO - Epoch [5][950/7330] lr: 1.000e-04, eta: 16:44:59, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0366, loss_cls: 0.1874, acc: 93.3604, loss_bbox: 0.2329, loss_mask: 0.2307, loss: 0.7169 2023-11-14 14:12:30,642 - mmdet - INFO - Epoch [5][1000/7330] lr: 1.000e-04, eta: 16:44:46, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0404, loss_cls: 0.2092, acc: 92.7256, loss_bbox: 0.2522, loss_mask: 0.2423, loss: 0.7766 2023-11-14 14:12:43,433 - mmdet - INFO - Epoch [5][1050/7330] lr: 1.000e-04, eta: 16:44:33, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0370, loss_cls: 0.1995, acc: 93.1543, loss_bbox: 0.2344, loss_mask: 0.2372, loss: 0.7401 2023-11-14 14:12:56,799 - mmdet - INFO - Epoch [5][1100/7330] lr: 1.000e-04, eta: 16:44:23, time: 0.267, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0381, loss_cls: 0.1909, acc: 93.2483, loss_bbox: 0.2303, loss_mask: 0.2326, loss: 0.7262 2023-11-14 14:13:09,964 - mmdet - INFO - Epoch [5][1150/7330] lr: 1.000e-04, eta: 16:44:12, time: 0.263, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0362, loss_cls: 0.1892, acc: 93.3325, loss_bbox: 0.2334, loss_mask: 0.2377, loss: 0.7267 2023-11-14 14:13:22,880 - mmdet - INFO - Epoch [5][1200/7330] lr: 1.000e-04, eta: 16:43:59, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0363, loss_cls: 0.1903, acc: 93.3633, loss_bbox: 0.2322, loss_mask: 0.2408, loss: 0.7303 2023-11-14 14:13:36,010 - mmdet - INFO - Epoch [5][1250/7330] lr: 1.000e-04, eta: 16:43:48, time: 0.263, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0374, loss_cls: 0.1943, acc: 93.2017, loss_bbox: 0.2335, loss_mask: 0.2312, loss: 0.7263 2023-11-14 14:13:49,128 - mmdet - INFO - Epoch [5][1300/7330] lr: 1.000e-04, eta: 16:43:37, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0385, loss_cls: 0.1979, acc: 93.1765, loss_bbox: 0.2352, loss_mask: 0.2368, loss: 0.7418 2023-11-14 14:14:02,177 - mmdet - INFO - Epoch [5][1350/7330] lr: 1.000e-04, eta: 16:43:25, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0375, loss_cls: 0.1976, acc: 93.1008, loss_bbox: 0.2390, loss_mask: 0.2399, loss: 0.7450 2023-11-14 14:14:15,429 - mmdet - INFO - Epoch [5][1400/7330] lr: 1.000e-04, eta: 16:43:15, time: 0.265, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0372, loss_cls: 0.1972, acc: 93.0308, loss_bbox: 0.2375, loss_mask: 0.2323, loss: 0.7345 2023-11-14 14:14:28,374 - mmdet - INFO - Epoch [5][1450/7330] lr: 1.000e-04, eta: 16:43:02, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0336, loss_rpn_bbox: 0.0370, loss_cls: 0.1971, acc: 93.0513, loss_bbox: 0.2380, loss_mask: 0.2378, loss: 0.7436 2023-11-14 14:14:41,456 - mmdet - INFO - Epoch [5][1500/7330] lr: 1.000e-04, eta: 16:42:51, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0390, loss_cls: 0.2033, acc: 92.8357, loss_bbox: 0.2468, loss_mask: 0.2330, loss: 0.7530 2023-11-14 14:14:54,572 - mmdet - INFO - Epoch [5][1550/7330] lr: 1.000e-04, eta: 16:42:39, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0395, loss_cls: 0.1925, acc: 93.1528, loss_bbox: 0.2393, loss_mask: 0.2352, loss: 0.7408 2023-11-14 14:15:07,492 - mmdet - INFO - Epoch [5][1600/7330] lr: 1.000e-04, eta: 16:42:26, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0405, loss_cls: 0.2034, acc: 92.8320, loss_bbox: 0.2411, loss_mask: 0.2305, loss: 0.7490 2023-11-14 14:15:20,575 - mmdet - INFO - Epoch [5][1650/7330] lr: 1.000e-04, eta: 16:42:15, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0382, loss_cls: 0.2008, acc: 92.8682, loss_bbox: 0.2477, loss_mask: 0.2424, loss: 0.7614 2023-11-14 14:15:33,358 - mmdet - INFO - Epoch [5][1700/7330] lr: 1.000e-04, eta: 16:42:01, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0368, loss_cls: 0.1988, acc: 92.9783, loss_bbox: 0.2442, loss_mask: 0.2403, loss: 0.7505 2023-11-14 14:15:46,122 - mmdet - INFO - Epoch [5][1750/7330] lr: 1.000e-04, eta: 16:41:47, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0369, loss_cls: 0.2012, acc: 92.9727, loss_bbox: 0.2481, loss_mask: 0.2393, loss: 0.7552 2023-11-14 14:15:59,375 - mmdet - INFO - Epoch [5][1800/7330] lr: 1.000e-04, eta: 16:41:37, time: 0.265, data_time: 0.019, memory: 4452, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0368, loss_cls: 0.1934, acc: 93.2026, loss_bbox: 0.2364, loss_mask: 0.2338, loss: 0.7295 2023-11-14 14:16:12,040 - mmdet - INFO - Epoch [5][1850/7330] lr: 1.000e-04, eta: 16:41:22, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0363, loss_cls: 0.1912, acc: 93.3748, loss_bbox: 0.2257, loss_mask: 0.2351, loss: 0.7186 2023-11-14 14:16:25,005 - mmdet - INFO - Epoch [5][1900/7330] lr: 1.000e-04, eta: 16:41:09, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0389, loss_cls: 0.1953, acc: 93.1201, loss_bbox: 0.2352, loss_mask: 0.2377, loss: 0.7403 2023-11-14 14:16:38,183 - mmdet - INFO - Epoch [5][1950/7330] lr: 1.000e-04, eta: 16:40:58, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0383, loss_cls: 0.1955, acc: 93.0962, loss_bbox: 0.2410, loss_mask: 0.2423, loss: 0.7458 2023-11-14 14:16:51,218 - mmdet - INFO - Epoch [5][2000/7330] lr: 1.000e-04, eta: 16:40:46, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0402, loss_cls: 0.1979, acc: 93.0874, loss_bbox: 0.2444, loss_mask: 0.2387, loss: 0.7542 2023-11-14 14:17:04,463 - mmdet - INFO - Epoch [5][2050/7330] lr: 1.000e-04, eta: 16:40:36, time: 0.265, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0404, loss_cls: 0.2018, acc: 92.8347, loss_bbox: 0.2449, loss_mask: 0.2379, loss: 0.7580 2023-11-14 14:17:17,358 - mmdet - INFO - Epoch [5][2100/7330] lr: 1.000e-04, eta: 16:40:23, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0405, loss_cls: 0.2017, acc: 92.8459, loss_bbox: 0.2459, loss_mask: 0.2381, loss: 0.7613 2023-11-14 14:17:30,422 - mmdet - INFO - Epoch [5][2150/7330] lr: 1.000e-04, eta: 16:40:11, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0334, loss_rpn_bbox: 0.0409, loss_cls: 0.2067, acc: 92.6411, loss_bbox: 0.2452, loss_mask: 0.2321, loss: 0.7583 2023-11-14 14:17:43,858 - mmdet - INFO - Epoch [5][2200/7330] lr: 1.000e-04, eta: 16:40:02, time: 0.269, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0402, loss_cls: 0.1985, acc: 93.0081, loss_bbox: 0.2415, loss_mask: 0.2391, loss: 0.7513 2023-11-14 14:17:57,204 - mmdet - INFO - Epoch [5][2250/7330] lr: 1.000e-04, eta: 16:39:52, time: 0.267, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0407, loss_cls: 0.2067, acc: 92.7356, loss_bbox: 0.2470, loss_mask: 0.2388, loss: 0.7659 2023-11-14 14:18:10,068 - mmdet - INFO - Epoch [5][2300/7330] lr: 1.000e-04, eta: 16:39:39, time: 0.257, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0373, loss_cls: 0.2005, acc: 93.0776, loss_bbox: 0.2372, loss_mask: 0.2321, loss: 0.7379 2023-11-14 14:18:22,705 - mmdet - INFO - Epoch [5][2350/7330] lr: 1.000e-04, eta: 16:39:24, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0360, loss_cls: 0.1991, acc: 93.0735, loss_bbox: 0.2404, loss_mask: 0.2393, loss: 0.7451 2023-11-14 14:18:35,513 - mmdet - INFO - Epoch [5][2400/7330] lr: 1.000e-04, eta: 16:39:11, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0372, loss_cls: 0.1941, acc: 93.1980, loss_bbox: 0.2369, loss_mask: 0.2344, loss: 0.7306 2023-11-14 14:18:48,467 - mmdet - INFO - Epoch [5][2450/7330] lr: 1.000e-04, eta: 16:38:58, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0371, loss_cls: 0.1966, acc: 93.0588, loss_bbox: 0.2398, loss_mask: 0.2380, loss: 0.7425 2023-11-14 14:19:01,418 - mmdet - INFO - Epoch [5][2500/7330] lr: 1.000e-04, eta: 16:38:45, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0347, loss_cls: 0.1864, acc: 93.4087, loss_bbox: 0.2292, loss_mask: 0.2345, loss: 0.7158 2023-11-14 14:19:14,168 - mmdet - INFO - Epoch [5][2550/7330] lr: 1.000e-04, eta: 16:38:31, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0363, loss_cls: 0.1925, acc: 93.2148, loss_bbox: 0.2343, loss_mask: 0.2331, loss: 0.7253 2023-11-14 14:19:26,929 - mmdet - INFO - Epoch [5][2600/7330] lr: 1.000e-04, eta: 16:38:17, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0384, loss_cls: 0.2000, acc: 92.9868, loss_bbox: 0.2413, loss_mask: 0.2386, loss: 0.7525 2023-11-14 14:19:40,040 - mmdet - INFO - Epoch [5][2650/7330] lr: 1.000e-04, eta: 16:38:06, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0405, loss_cls: 0.2032, acc: 92.7600, loss_bbox: 0.2460, loss_mask: 0.2394, loss: 0.7599 2023-11-14 14:19:52,923 - mmdet - INFO - Epoch [5][2700/7330] lr: 1.000e-04, eta: 16:37:53, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0376, loss_cls: 0.2008, acc: 92.9412, loss_bbox: 0.2394, loss_mask: 0.2351, loss: 0.7428 2023-11-14 14:20:05,751 - mmdet - INFO - Epoch [5][2750/7330] lr: 1.000e-04, eta: 16:37:39, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0389, loss_cls: 0.1990, acc: 92.9224, loss_bbox: 0.2412, loss_mask: 0.2329, loss: 0.7428 2023-11-14 14:20:20,390 - mmdet - INFO - Epoch [5][2800/7330] lr: 1.000e-04, eta: 16:37:39, time: 0.293, data_time: 0.042, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0365, loss_cls: 0.1955, acc: 93.1677, loss_bbox: 0.2359, loss_mask: 0.2303, loss: 0.7287 2023-11-14 14:20:33,216 - mmdet - INFO - Epoch [5][2850/7330] lr: 1.000e-04, eta: 16:37:25, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0360, loss_cls: 0.1967, acc: 93.1653, loss_bbox: 0.2304, loss_mask: 0.2391, loss: 0.7321 2023-11-14 14:20:46,059 - mmdet - INFO - Epoch [5][2900/7330] lr: 1.000e-04, eta: 16:37:12, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0351, loss_rpn_bbox: 0.0379, loss_cls: 0.2000, acc: 92.9377, loss_bbox: 0.2393, loss_mask: 0.2353, loss: 0.7476 2023-11-14 14:20:59,056 - mmdet - INFO - Epoch [5][2950/7330] lr: 1.000e-04, eta: 16:36:59, time: 0.260, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0387, loss_cls: 0.1889, acc: 93.2395, loss_bbox: 0.2269, loss_mask: 0.2324, loss: 0.7179 2023-11-14 14:21:12,030 - mmdet - INFO - Epoch [5][3000/7330] lr: 1.000e-04, eta: 16:36:47, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0390, loss_cls: 0.1969, acc: 93.2053, loss_bbox: 0.2332, loss_mask: 0.2386, loss: 0.7388 2023-11-14 14:21:24,781 - mmdet - INFO - Epoch [5][3050/7330] lr: 1.000e-04, eta: 16:36:33, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0391, loss_cls: 0.1926, acc: 93.1431, loss_bbox: 0.2344, loss_mask: 0.2403, loss: 0.7397 2023-11-14 14:21:37,666 - mmdet - INFO - Epoch [5][3100/7330] lr: 1.000e-04, eta: 16:36:20, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0392, loss_cls: 0.1908, acc: 93.1846, loss_bbox: 0.2340, loss_mask: 0.2359, loss: 0.7316 2023-11-14 14:21:50,678 - mmdet - INFO - Epoch [5][3150/7330] lr: 1.000e-04, eta: 16:36:07, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0353, loss_cls: 0.1891, acc: 93.3594, loss_bbox: 0.2299, loss_mask: 0.2335, loss: 0.7172 2023-11-14 14:22:03,931 - mmdet - INFO - Epoch [5][3200/7330] lr: 1.000e-04, eta: 16:35:57, time: 0.265, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0388, loss_cls: 0.2026, acc: 92.9031, loss_bbox: 0.2463, loss_mask: 0.2417, loss: 0.7589 2023-11-14 14:22:17,188 - mmdet - INFO - Epoch [5][3250/7330] lr: 1.000e-04, eta: 16:35:46, time: 0.265, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0391, loss_cls: 0.2028, acc: 92.8232, loss_bbox: 0.2453, loss_mask: 0.2326, loss: 0.7510 2023-11-14 14:22:29,962 - mmdet - INFO - Epoch [5][3300/7330] lr: 1.000e-04, eta: 16:35:33, time: 0.256, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0337, loss_cls: 0.1894, acc: 93.3413, loss_bbox: 0.2294, loss_mask: 0.2336, loss: 0.7157 2023-11-14 14:22:42,735 - mmdet - INFO - Epoch [5][3350/7330] lr: 1.000e-04, eta: 16:35:19, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0358, loss_cls: 0.1941, acc: 93.1790, loss_bbox: 0.2329, loss_mask: 0.2346, loss: 0.7262 2023-11-14 14:22:55,636 - mmdet - INFO - Epoch [5][3400/7330] lr: 1.000e-04, eta: 16:35:06, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0377, loss_cls: 0.1911, acc: 93.2705, loss_bbox: 0.2297, loss_mask: 0.2317, loss: 0.7214 2023-11-14 14:23:08,705 - mmdet - INFO - Epoch [5][3450/7330] lr: 1.000e-04, eta: 16:34:54, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0327, loss_rpn_bbox: 0.0379, loss_cls: 0.1911, acc: 93.2710, loss_bbox: 0.2324, loss_mask: 0.2317, loss: 0.7258 2023-11-14 14:23:21,687 - mmdet - INFO - Epoch [5][3500/7330] lr: 1.000e-04, eta: 16:34:41, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0389, loss_cls: 0.2063, acc: 92.7131, loss_bbox: 0.2501, loss_mask: 0.2427, loss: 0.7695 2023-11-14 14:23:34,477 - mmdet - INFO - Epoch [5][3550/7330] lr: 1.000e-04, eta: 16:34:28, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0385, loss_cls: 0.1925, acc: 93.2358, loss_bbox: 0.2301, loss_mask: 0.2373, loss: 0.7333 2023-11-14 14:23:47,450 - mmdet - INFO - Epoch [5][3600/7330] lr: 1.000e-04, eta: 16:34:15, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0384, loss_cls: 0.1902, acc: 93.3137, loss_bbox: 0.2342, loss_mask: 0.2401, loss: 0.7341 2023-11-14 14:23:59,978 - mmdet - INFO - Epoch [5][3650/7330] lr: 1.000e-04, eta: 16:33:59, time: 0.251, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0358, loss_cls: 0.1910, acc: 93.3030, loss_bbox: 0.2332, loss_mask: 0.2409, loss: 0.7303 2023-11-14 14:24:12,866 - mmdet - INFO - Epoch [5][3700/7330] lr: 1.000e-04, eta: 16:33:46, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0362, loss_cls: 0.1912, acc: 93.3320, loss_bbox: 0.2307, loss_mask: 0.2350, loss: 0.7236 2023-11-14 14:24:26,057 - mmdet - INFO - Epoch [5][3750/7330] lr: 1.000e-04, eta: 16:33:35, time: 0.264, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0383, loss_cls: 0.2052, acc: 92.7568, loss_bbox: 0.2451, loss_mask: 0.2370, loss: 0.7561 2023-11-14 14:24:39,552 - mmdet - INFO - Epoch [5][3800/7330] lr: 1.000e-04, eta: 16:33:26, time: 0.270, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0394, loss_cls: 0.2020, acc: 92.8403, loss_bbox: 0.2448, loss_mask: 0.2390, loss: 0.7567 2023-11-14 14:24:52,682 - mmdet - INFO - Epoch [5][3850/7330] lr: 1.000e-04, eta: 16:33:15, time: 0.263, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0371, loss_cls: 0.1991, acc: 93.0806, loss_bbox: 0.2421, loss_mask: 0.2354, loss: 0.7455 2023-11-14 14:25:05,281 - mmdet - INFO - Epoch [5][3900/7330] lr: 1.000e-04, eta: 16:33:00, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0375, loss_cls: 0.1932, acc: 93.2236, loss_bbox: 0.2339, loss_mask: 0.2349, loss: 0.7309 2023-11-14 14:25:18,227 - mmdet - INFO - Epoch [5][3950/7330] lr: 1.000e-04, eta: 16:32:47, time: 0.259, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0371, loss_cls: 0.2023, acc: 92.9358, loss_bbox: 0.2442, loss_mask: 0.2384, loss: 0.7528 2023-11-14 14:25:31,280 - mmdet - INFO - Epoch [5][4000/7330] lr: 1.000e-04, eta: 16:32:35, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0377, loss_cls: 0.1884, acc: 93.4543, loss_bbox: 0.2324, loss_mask: 0.2318, loss: 0.7206 2023-11-14 14:25:44,257 - mmdet - INFO - Epoch [5][4050/7330] lr: 1.000e-04, eta: 16:32:23, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0382, loss_cls: 0.1957, acc: 93.2236, loss_bbox: 0.2344, loss_mask: 0.2329, loss: 0.7335 2023-11-14 14:25:57,191 - mmdet - INFO - Epoch [5][4100/7330] lr: 1.000e-04, eta: 16:32:10, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0368, loss_cls: 0.1905, acc: 93.4026, loss_bbox: 0.2256, loss_mask: 0.2255, loss: 0.7111 2023-11-14 14:26:10,222 - mmdet - INFO - Epoch [5][4150/7330] lr: 1.000e-04, eta: 16:31:58, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0372, loss_cls: 0.1969, acc: 93.1135, loss_bbox: 0.2393, loss_mask: 0.2429, loss: 0.7461 2023-11-14 14:26:23,061 - mmdet - INFO - Epoch [5][4200/7330] lr: 1.000e-04, eta: 16:31:44, time: 0.257, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0365, loss_cls: 0.1949, acc: 93.1719, loss_bbox: 0.2345, loss_mask: 0.2317, loss: 0.7301 2023-11-14 14:26:36,016 - mmdet - INFO - Epoch [5][4250/7330] lr: 1.000e-04, eta: 16:31:32, time: 0.259, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0358, loss_cls: 0.1838, acc: 93.4558, loss_bbox: 0.2287, loss_mask: 0.2385, loss: 0.7151 2023-11-14 14:26:49,486 - mmdet - INFO - Epoch [5][4300/7330] lr: 1.000e-04, eta: 16:31:23, time: 0.269, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0379, loss_cls: 0.2008, acc: 93.1265, loss_bbox: 0.2326, loss_mask: 0.2293, loss: 0.7312 2023-11-14 14:27:02,296 - mmdet - INFO - Epoch [5][4350/7330] lr: 1.000e-04, eta: 16:31:09, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0332, loss_rpn_bbox: 0.0384, loss_cls: 0.1984, acc: 93.1052, loss_bbox: 0.2427, loss_mask: 0.2446, loss: 0.7572 2023-11-14 14:27:15,515 - mmdet - INFO - Epoch [5][4400/7330] lr: 1.000e-04, eta: 16:30:58, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0384, loss_cls: 0.2001, acc: 92.9634, loss_bbox: 0.2415, loss_mask: 0.2375, loss: 0.7488 2023-11-14 14:27:28,352 - mmdet - INFO - Epoch [5][4450/7330] lr: 1.000e-04, eta: 16:30:45, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0380, loss_cls: 0.1886, acc: 93.3625, loss_bbox: 0.2334, loss_mask: 0.2351, loss: 0.7258 2023-11-14 14:27:41,279 - mmdet - INFO - Epoch [5][4500/7330] lr: 1.000e-04, eta: 16:30:32, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0378, loss_cls: 0.2035, acc: 92.8989, loss_bbox: 0.2430, loss_mask: 0.2397, loss: 0.7538 2023-11-14 14:27:53,931 - mmdet - INFO - Epoch [5][4550/7330] lr: 1.000e-04, eta: 16:30:17, time: 0.253, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0363, loss_cls: 0.1897, acc: 93.2922, loss_bbox: 0.2305, loss_mask: 0.2334, loss: 0.7196 2023-11-14 14:28:07,214 - mmdet - INFO - Epoch [5][4600/7330] lr: 1.000e-04, eta: 16:30:07, time: 0.266, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0397, loss_cls: 0.2007, acc: 92.9531, loss_bbox: 0.2387, loss_mask: 0.2326, loss: 0.7445 2023-11-14 14:28:20,335 - mmdet - INFO - Epoch [5][4650/7330] lr: 1.000e-04, eta: 16:29:55, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0391, loss_cls: 0.1922, acc: 93.1980, loss_bbox: 0.2287, loss_mask: 0.2341, loss: 0.7269 2023-11-14 14:28:33,264 - mmdet - INFO - Epoch [5][4700/7330] lr: 1.000e-04, eta: 16:29:42, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0397, loss_cls: 0.1951, acc: 93.1660, loss_bbox: 0.2379, loss_mask: 0.2409, loss: 0.7462 2023-11-14 14:28:46,564 - mmdet - INFO - Epoch [5][4750/7330] lr: 1.000e-04, eta: 16:29:32, time: 0.266, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0393, loss_cls: 0.1980, acc: 93.0847, loss_bbox: 0.2396, loss_mask: 0.2403, loss: 0.7486 2023-11-14 14:28:59,487 - mmdet - INFO - Epoch [5][4800/7330] lr: 1.000e-04, eta: 16:29:19, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0369, loss_cls: 0.1881, acc: 93.4182, loss_bbox: 0.2312, loss_mask: 0.2381, loss: 0.7262 2023-11-14 14:29:12,697 - mmdet - INFO - Epoch [5][4850/7330] lr: 1.000e-04, eta: 16:29:08, time: 0.264, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0379, loss_cls: 0.1995, acc: 93.0068, loss_bbox: 0.2380, loss_mask: 0.2306, loss: 0.7360 2023-11-14 14:29:25,756 - mmdet - INFO - Epoch [5][4900/7330] lr: 1.000e-04, eta: 16:28:56, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0362, loss_cls: 0.1932, acc: 93.2603, loss_bbox: 0.2328, loss_mask: 0.2316, loss: 0.7226 2023-11-14 14:29:38,726 - mmdet - INFO - Epoch [5][4950/7330] lr: 1.000e-04, eta: 16:28:44, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0368, loss_cls: 0.1989, acc: 92.9805, loss_bbox: 0.2401, loss_mask: 0.2344, loss: 0.7401 2023-11-14 14:29:51,455 - mmdet - INFO - Epoch [5][5000/7330] lr: 1.000e-04, eta: 16:28:29, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0365, loss_cls: 0.1912, acc: 93.2163, loss_bbox: 0.2286, loss_mask: 0.2350, loss: 0.7221 2023-11-14 14:30:04,415 - mmdet - INFO - Epoch [5][5050/7330] lr: 1.000e-04, eta: 16:28:17, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0392, loss_cls: 0.1949, acc: 93.0913, loss_bbox: 0.2364, loss_mask: 0.2402, loss: 0.7410 2023-11-14 14:30:17,156 - mmdet - INFO - Epoch [5][5100/7330] lr: 1.000e-04, eta: 16:28:03, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0323, loss_rpn_bbox: 0.0378, loss_cls: 0.1970, acc: 93.1108, loss_bbox: 0.2392, loss_mask: 0.2390, loss: 0.7454 2023-11-14 14:30:30,071 - mmdet - INFO - Epoch [5][5150/7330] lr: 1.000e-04, eta: 16:27:50, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0379, loss_cls: 0.1899, acc: 93.2522, loss_bbox: 0.2309, loss_mask: 0.2318, loss: 0.7219 2023-11-14 14:30:43,176 - mmdet - INFO - Epoch [5][5200/7330] lr: 1.000e-04, eta: 16:27:38, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0352, loss_cls: 0.1838, acc: 93.6421, loss_bbox: 0.2194, loss_mask: 0.2280, loss: 0.6949 2023-11-14 14:30:56,207 - mmdet - INFO - Epoch [5][5250/7330] lr: 1.000e-04, eta: 16:27:26, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0379, loss_cls: 0.2028, acc: 92.8726, loss_bbox: 0.2451, loss_mask: 0.2331, loss: 0.7508 2023-11-14 14:31:08,955 - mmdet - INFO - Epoch [5][5300/7330] lr: 1.000e-04, eta: 16:27:12, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0367, loss_cls: 0.1908, acc: 93.3113, loss_bbox: 0.2315, loss_mask: 0.2372, loss: 0.7267 2023-11-14 14:31:21,912 - mmdet - INFO - Epoch [5][5350/7330] lr: 1.000e-04, eta: 16:26:59, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0379, loss_cls: 0.1927, acc: 93.2249, loss_bbox: 0.2330, loss_mask: 0.2338, loss: 0.7299 2023-11-14 14:31:34,658 - mmdet - INFO - Epoch [5][5400/7330] lr: 1.000e-04, eta: 16:26:45, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0335, loss_rpn_bbox: 0.0382, loss_cls: 0.1883, acc: 93.3154, loss_bbox: 0.2326, loss_mask: 0.2308, loss: 0.7235 2023-11-14 14:31:47,508 - mmdet - INFO - Epoch [5][5450/7330] lr: 1.000e-04, eta: 16:26:32, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0377, loss_cls: 0.1988, acc: 93.0752, loss_bbox: 0.2416, loss_mask: 0.2376, loss: 0.7466 2023-11-14 14:32:00,578 - mmdet - INFO - Epoch [5][5500/7330] lr: 1.000e-04, eta: 16:26:20, time: 0.261, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0380, loss_cls: 0.1996, acc: 92.9646, loss_bbox: 0.2439, loss_mask: 0.2358, loss: 0.7492 2023-11-14 14:32:13,300 - mmdet - INFO - Epoch [5][5550/7330] lr: 1.000e-04, eta: 16:26:06, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0374, loss_cls: 0.2040, acc: 92.8704, loss_bbox: 0.2452, loss_mask: 0.2391, loss: 0.7571 2023-11-14 14:32:26,282 - mmdet - INFO - Epoch [5][5600/7330] lr: 1.000e-04, eta: 16:25:53, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0390, loss_cls: 0.2053, acc: 92.7649, loss_bbox: 0.2437, loss_mask: 0.2337, loss: 0.7546 2023-11-14 14:32:39,086 - mmdet - INFO - Epoch [5][5650/7330] lr: 1.000e-04, eta: 16:25:39, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0331, loss_rpn_bbox: 0.0386, loss_cls: 0.1992, acc: 92.9780, loss_bbox: 0.2430, loss_mask: 0.2375, loss: 0.7515 2023-11-14 14:32:51,795 - mmdet - INFO - Epoch [5][5700/7330] lr: 1.000e-04, eta: 16:25:25, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0369, loss_cls: 0.1912, acc: 93.1511, loss_bbox: 0.2313, loss_mask: 0.2270, loss: 0.7172 2023-11-14 14:33:04,432 - mmdet - INFO - Epoch [5][5750/7330] lr: 1.000e-04, eta: 16:25:10, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0369, loss_cls: 0.1969, acc: 93.0786, loss_bbox: 0.2421, loss_mask: 0.2377, loss: 0.7447 2023-11-14 14:33:17,106 - mmdet - INFO - Epoch [5][5800/7330] lr: 1.000e-04, eta: 16:24:56, time: 0.253, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0357, loss_cls: 0.1922, acc: 93.2834, loss_bbox: 0.2326, loss_mask: 0.2362, loss: 0.7270 2023-11-14 14:33:30,173 - mmdet - INFO - Epoch [5][5850/7330] lr: 1.000e-04, eta: 16:24:44, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0381, loss_cls: 0.2053, acc: 92.6875, loss_bbox: 0.2454, loss_mask: 0.2361, loss: 0.7569 2023-11-14 14:33:43,414 - mmdet - INFO - Epoch [5][5900/7330] lr: 1.000e-04, eta: 16:24:33, time: 0.265, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0374, loss_cls: 0.1955, acc: 93.0793, loss_bbox: 0.2363, loss_mask: 0.2412, loss: 0.7426 2023-11-14 14:33:56,391 - mmdet - INFO - Epoch [5][5950/7330] lr: 1.000e-04, eta: 16:24:21, time: 0.260, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0330, loss_rpn_bbox: 0.0397, loss_cls: 0.2070, acc: 92.8467, loss_bbox: 0.2452, loss_mask: 0.2379, loss: 0.7628 2023-11-14 14:34:09,115 - mmdet - INFO - Epoch [5][6000/7330] lr: 1.000e-04, eta: 16:24:06, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0353, loss_cls: 0.1903, acc: 93.3220, loss_bbox: 0.2239, loss_mask: 0.2265, loss: 0.7074 2023-11-14 14:34:21,896 - mmdet - INFO - Epoch [5][6050/7330] lr: 1.000e-04, eta: 16:23:53, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0374, loss_cls: 0.1940, acc: 93.3186, loss_bbox: 0.2322, loss_mask: 0.2316, loss: 0.7248 2023-11-14 14:34:34,443 - mmdet - INFO - Epoch [5][6100/7330] lr: 1.000e-04, eta: 16:23:37, time: 0.251, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0355, loss_cls: 0.1874, acc: 93.3821, loss_bbox: 0.2302, loss_mask: 0.2364, loss: 0.7171 2023-11-14 14:34:47,553 - mmdet - INFO - Epoch [5][6150/7330] lr: 1.000e-04, eta: 16:23:26, time: 0.262, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0378, loss_cls: 0.1978, acc: 92.9844, loss_bbox: 0.2405, loss_mask: 0.2382, loss: 0.7459 2023-11-14 14:35:00,204 - mmdet - INFO - Epoch [5][6200/7330] lr: 1.000e-04, eta: 16:23:11, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0384, loss_cls: 0.2031, acc: 92.9480, loss_bbox: 0.2428, loss_mask: 0.2411, loss: 0.7578 2023-11-14 14:35:12,743 - mmdet - INFO - Epoch [5][6250/7330] lr: 1.000e-04, eta: 16:22:56, time: 0.251, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0333, loss_rpn_bbox: 0.0404, loss_cls: 0.2028, acc: 92.8904, loss_bbox: 0.2392, loss_mask: 0.2351, loss: 0.7508 2023-11-14 14:35:25,953 - mmdet - INFO - Epoch [5][6300/7330] lr: 1.000e-04, eta: 16:22:45, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0376, loss_cls: 0.1904, acc: 93.2466, loss_bbox: 0.2304, loss_mask: 0.2294, loss: 0.7188 2023-11-14 14:35:39,011 - mmdet - INFO - Epoch [5][6350/7330] lr: 1.000e-04, eta: 16:22:33, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0388, loss_cls: 0.1949, acc: 93.2036, loss_bbox: 0.2349, loss_mask: 0.2356, loss: 0.7372 2023-11-14 14:35:51,832 - mmdet - INFO - Epoch [5][6400/7330] lr: 1.000e-04, eta: 16:22:19, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0359, loss_cls: 0.1970, acc: 93.1077, loss_bbox: 0.2356, loss_mask: 0.2366, loss: 0.7357 2023-11-14 14:36:04,820 - mmdet - INFO - Epoch [5][6450/7330] lr: 1.000e-04, eta: 16:22:07, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0361, loss_cls: 0.1890, acc: 93.2722, loss_bbox: 0.2313, loss_mask: 0.2327, loss: 0.7185 2023-11-14 14:36:17,624 - mmdet - INFO - Epoch [5][6500/7330] lr: 1.000e-04, eta: 16:21:53, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0374, loss_cls: 0.2000, acc: 92.9678, loss_bbox: 0.2429, loss_mask: 0.2325, loss: 0.7449 2023-11-14 14:36:30,540 - mmdet - INFO - Epoch [5][6550/7330] lr: 1.000e-04, eta: 16:21:40, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0386, loss_cls: 0.1995, acc: 92.9722, loss_bbox: 0.2352, loss_mask: 0.2377, loss: 0.7424 2023-11-14 14:36:43,284 - mmdet - INFO - Epoch [5][6600/7330] lr: 1.000e-04, eta: 16:21:26, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0367, loss_cls: 0.1912, acc: 93.3945, loss_bbox: 0.2321, loss_mask: 0.2457, loss: 0.7364 2023-11-14 14:36:55,837 - mmdet - INFO - Epoch [5][6650/7330] lr: 1.000e-04, eta: 16:21:11, time: 0.251, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0360, loss_cls: 0.1966, acc: 93.2678, loss_bbox: 0.2326, loss_mask: 0.2335, loss: 0.7307 2023-11-14 14:37:09,094 - mmdet - INFO - Epoch [5][6700/7330] lr: 1.000e-04, eta: 16:21:00, time: 0.265, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0380, loss_cls: 0.2027, acc: 92.8618, loss_bbox: 0.2432, loss_mask: 0.2355, loss: 0.7502 2023-11-14 14:37:22,121 - mmdet - INFO - Epoch [5][6750/7330] lr: 1.000e-04, eta: 16:20:48, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0329, loss_rpn_bbox: 0.0390, loss_cls: 0.2035, acc: 92.8301, loss_bbox: 0.2415, loss_mask: 0.2320, loss: 0.7489 2023-11-14 14:37:35,072 - mmdet - INFO - Epoch [5][6800/7330] lr: 1.000e-04, eta: 16:20:35, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0358, loss_cls: 0.1949, acc: 93.2908, loss_bbox: 0.2324, loss_mask: 0.2362, loss: 0.7304 2023-11-14 14:37:47,853 - mmdet - INFO - Epoch [5][6850/7330] lr: 1.000e-04, eta: 16:20:21, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0363, loss_cls: 0.2018, acc: 93.0488, loss_bbox: 0.2348, loss_mask: 0.2331, loss: 0.7371 2023-11-14 14:38:01,030 - mmdet - INFO - Epoch [5][6900/7330] lr: 1.000e-04, eta: 16:20:10, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0388, loss_cls: 0.2075, acc: 92.5769, loss_bbox: 0.2529, loss_mask: 0.2422, loss: 0.7720 2023-11-14 14:38:13,927 - mmdet - INFO - Epoch [5][6950/7330] lr: 1.000e-04, eta: 16:19:57, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0398, loss_cls: 0.1970, acc: 92.9814, loss_bbox: 0.2433, loss_mask: 0.2408, loss: 0.7519 2023-11-14 14:38:26,855 - mmdet - INFO - Epoch [5][7000/7330] lr: 1.000e-04, eta: 16:19:44, time: 0.258, data_time: 0.011, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0382, loss_cls: 0.2009, acc: 92.8455, loss_bbox: 0.2462, loss_mask: 0.2398, loss: 0.7561 2023-11-14 14:38:39,637 - mmdet - INFO - Epoch [5][7050/7330] lr: 1.000e-04, eta: 16:19:31, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0347, loss_cls: 0.2031, acc: 92.8943, loss_bbox: 0.2399, loss_mask: 0.2329, loss: 0.7406 2023-11-14 14:38:52,559 - mmdet - INFO - Epoch [5][7100/7330] lr: 1.000e-04, eta: 16:19:18, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0397, loss_cls: 0.2040, acc: 92.8362, loss_bbox: 0.2461, loss_mask: 0.2358, loss: 0.7578 2023-11-14 14:39:05,264 - mmdet - INFO - Epoch [5][7150/7330] lr: 1.000e-04, eta: 16:19:03, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0365, loss_cls: 0.1946, acc: 93.1104, loss_bbox: 0.2346, loss_mask: 0.2369, loss: 0.7325 2023-11-14 14:39:17,922 - mmdet - INFO - Epoch [5][7200/7330] lr: 1.000e-04, eta: 16:18:49, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0379, loss_cls: 0.1957, acc: 93.1001, loss_bbox: 0.2357, loss_mask: 0.2325, loss: 0.7334 2023-11-14 14:39:30,982 - mmdet - INFO - Epoch [5][7250/7330] lr: 1.000e-04, eta: 16:18:37, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0351, loss_cls: 0.1905, acc: 93.2971, loss_bbox: 0.2286, loss_mask: 0.2339, loss: 0.7162 2023-11-14 14:39:43,621 - mmdet - INFO - Epoch [5][7300/7330] lr: 1.000e-04, eta: 16:18:22, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0364, loss_cls: 0.1927, acc: 93.2466, loss_bbox: 0.2315, loss_mask: 0.2351, loss: 0.7248 2023-11-14 14:39:51,995 - mmdet - INFO - Saving checkpoint at 5 epochs 2023-11-14 14:40:40,894 - mmdet - INFO - Evaluating bbox... 2023-11-14 14:41:15,484 - 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 ] = 0.668 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.483 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.277 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.485 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 ] = 0.572 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.572 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.572 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 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.712 2023-11-14 14:41:15,486 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.559 | bicycle | 0.346 | car | 0.463 | | motorcycle | 0.452 | airplane | 0.670 | bus | 0.652 | | train | 0.627 | truck | 0.370 | boat | 0.304 | | traffic light | 0.299 | fire hydrant | 0.680 | stop sign | 0.647 | | parking meter | 0.530 | bench | 0.268 | bird | 0.391 | | cat | 0.694 | dog | 0.661 | horse | 0.584 | | sheep | 0.564 | cow | 0.598 | elephant | 0.660 | | bear | 0.732 | zebra | 0.681 | giraffe | 0.648 | | backpack | 0.186 | umbrella | 0.433 | handbag | 0.179 | | tie | 0.329 | suitcase | 0.420 | frisbee | 0.679 | | skis | 0.251 | snowboard | 0.403 | sports ball | 0.444 | | kite | 0.451 | baseball bat | 0.363 | baseball glove | 0.405 | | skateboard | 0.545 | surfboard | 0.415 | tennis racket | 0.482 | | bottle | 0.415 | wine glass | 0.360 | cup | 0.477 | | fork | 0.365 | knife | 0.224 | spoon | 0.223 | | bowl | 0.447 | banana | 0.284 | apple | 0.225 | | sandwich | 0.379 | orange | 0.331 | broccoli | 0.252 | | carrot | 0.238 | hot dog | 0.405 | pizza | 0.510 | | donut | 0.518 | cake | 0.392 | chair | 0.320 | | couch | 0.423 | potted plant | 0.297 | bed | 0.442 | | dining table | 0.269 | toilet | 0.567 | tv | 0.588 | | laptop | 0.617 | mouse | 0.624 | remote | 0.371 | | keyboard | 0.518 | cell phone | 0.400 | microwave | 0.585 | | oven | 0.366 | toaster | 0.374 | sink | 0.402 | | refrigerator | 0.595 | book | 0.163 | clock | 0.534 | | vase | 0.395 | scissors | 0.302 | teddy bear | 0.504 | | hair drier | 0.098 | toothbrush | 0.278 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 14:41:15,486 - mmdet - INFO - Evaluating segm... 2023-11-14 14:41:52,613 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.398 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.634 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.425 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.200 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.435 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.580 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.520 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.336 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.566 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.676 2023-11-14 14:41:52,616 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.477 | bicycle | 0.195 | car | 0.415 | | motorcycle | 0.356 | airplane | 0.525 | bus | 0.648 | | train | 0.619 | truck | 0.371 | boat | 0.260 | | traffic light | 0.285 | fire hydrant | 0.656 | stop sign | 0.655 | | parking meter | 0.547 | bench | 0.195 | bird | 0.318 | | cat | 0.700 | dog | 0.629 | horse | 0.435 | | sheep | 0.500 | cow | 0.508 | elephant | 0.601 | | bear | 0.727 | zebra | 0.587 | giraffe | 0.499 | | backpack | 0.190 | umbrella | 0.498 | handbag | 0.184 | | tie | 0.311 | suitcase | 0.450 | frisbee | 0.642 | | skis | 0.025 | snowboard | 0.237 | sports ball | 0.430 | | kite | 0.296 | baseball bat | 0.265 | baseball glove | 0.426 | | skateboard | 0.329 | surfboard | 0.347 | tennis racket | 0.570 | | bottle | 0.387 | wine glass | 0.310 | cup | 0.479 | | fork | 0.184 | knife | 0.141 | spoon | 0.144 | | bowl | 0.431 | banana | 0.217 | apple | 0.225 | | sandwich | 0.415 | orange | 0.336 | broccoli | 0.233 | | carrot | 0.204 | hot dog | 0.342 | pizza | 0.492 | | donut | 0.525 | cake | 0.405 | chair | 0.212 | | couch | 0.373 | potted plant | 0.253 | bed | 0.369 | | dining table | 0.160 | toilet | 0.587 | tv | 0.617 | | laptop | 0.628 | mouse | 0.621 | remote | 0.334 | | keyboard | 0.514 | cell phone | 0.369 | microwave | 0.621 | | oven | 0.345 | toaster | 0.455 | sink | 0.399 | | refrigerator | 0.610 | book | 0.108 | clock | 0.533 | | vase | 0.384 | scissors | 0.240 | teddy bear | 0.486 | | hair drier | 0.048 | toothbrush | 0.185 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 14:41:53,156 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_4.pth was removed 2023-11-14 14:41:54,877 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_5.pth. 2023-11-14 14:41:54,877 - mmdet - INFO - Best bbox_mAP is 0.4393 at 5 epoch. 2023-11-14 14:41:54,878 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 14:41:54,878 - mmdet - INFO - Epoch(val) [5][625] bbox_mAP: 0.4393, bbox_mAP_50: 0.6685, bbox_mAP_75: 0.4831, bbox_mAP_s: 0.2770, bbox_mAP_m: 0.4853, bbox_mAP_l: 0.5677, bbox_mAP_copypaste: 0.4393 0.6685 0.4831 0.2770 0.4853 0.5677, segm_mAP: 0.3979, segm_mAP_50: 0.6337, segm_mAP_75: 0.4249, segm_mAP_s: 0.2005, segm_mAP_m: 0.4347, segm_mAP_l: 0.5795, segm_mAP_copypaste: 0.3979 0.6337 0.4249 0.2005 0.4347 0.5795 2023-11-14 14:42:11,460 - mmdet - INFO - Epoch [6][50/7330] lr: 1.000e-04, eta: 16:17:36, time: 0.331, data_time: 0.080, memory: 4452, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0386, loss_cls: 0.1834, acc: 93.4697, loss_bbox: 0.2300, loss_mask: 0.2339, loss: 0.7183 2023-11-14 14:42:24,929 - mmdet - INFO - Epoch [6][100/7330] lr: 1.000e-04, eta: 16:17:27, time: 0.269, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0377, loss_cls: 0.1867, acc: 93.4758, loss_bbox: 0.2273, loss_mask: 0.2269, loss: 0.7104 2023-11-14 14:42:38,575 - mmdet - INFO - Epoch [6][150/7330] lr: 1.000e-04, eta: 16:17:18, time: 0.273, data_time: 0.020, memory: 4452, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0363, loss_cls: 0.1828, acc: 93.4697, loss_bbox: 0.2288, loss_mask: 0.2304, loss: 0.7067 2023-11-14 14:42:51,597 - mmdet - INFO - Epoch [6][200/7330] lr: 1.000e-04, eta: 16:17:06, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0337, loss_cls: 0.1796, acc: 93.6714, loss_bbox: 0.2222, loss_mask: 0.2305, loss: 0.6931 2023-11-14 14:43:04,872 - mmdet - INFO - Epoch [6][250/7330] lr: 1.000e-04, eta: 16:16:55, time: 0.265, data_time: 0.019, memory: 4452, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0404, loss_cls: 0.1952, acc: 93.1003, loss_bbox: 0.2411, loss_mask: 0.2407, loss: 0.7516 2023-11-14 14:43:18,130 - mmdet - INFO - Epoch [6][300/7330] lr: 1.000e-04, eta: 16:16:45, time: 0.265, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0328, loss_rpn_bbox: 0.0388, loss_cls: 0.1885, acc: 93.2910, loss_bbox: 0.2332, loss_mask: 0.2328, loss: 0.7261 2023-11-14 14:43:31,280 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 14:43:31,280 - mmdet - INFO - Epoch [6][350/7330] lr: 1.000e-04, eta: 16:16:33, time: 0.263, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0382, loss_cls: 0.1931, acc: 93.2500, loss_bbox: 0.2372, loss_mask: 0.2335, loss: 0.7336 2023-11-14 14:43:44,233 - mmdet - INFO - Epoch [6][400/7330] lr: 1.000e-04, eta: 16:16:21, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0364, loss_cls: 0.1901, acc: 93.2446, loss_bbox: 0.2319, loss_mask: 0.2271, loss: 0.7149 2023-11-14 14:43:57,123 - mmdet - INFO - Epoch [6][450/7330] lr: 1.000e-04, eta: 16:16:07, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0361, loss_cls: 0.1903, acc: 93.2041, loss_bbox: 0.2279, loss_mask: 0.2259, loss: 0.7082 2023-11-14 14:44:10,142 - mmdet - INFO - Epoch [6][500/7330] lr: 1.000e-04, eta: 16:15:55, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0383, loss_cls: 0.1924, acc: 93.3096, loss_bbox: 0.2339, loss_mask: 0.2352, loss: 0.7307 2023-11-14 14:44:23,196 - mmdet - INFO - Epoch [6][550/7330] lr: 1.000e-04, eta: 16:15:43, time: 0.261, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0356, loss_cls: 0.1870, acc: 93.4109, loss_bbox: 0.2216, loss_mask: 0.2243, loss: 0.6976 2023-11-14 14:44:36,232 - mmdet - INFO - Epoch [6][600/7330] lr: 1.000e-04, eta: 16:15:31, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0380, loss_cls: 0.2030, acc: 92.8025, loss_bbox: 0.2461, loss_mask: 0.2360, loss: 0.7541 2023-11-14 14:44:49,326 - mmdet - INFO - Epoch [6][650/7330] lr: 1.000e-04, eta: 16:15:19, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0404, loss_cls: 0.2011, acc: 92.8840, loss_bbox: 0.2415, loss_mask: 0.2383, loss: 0.7530 2023-11-14 14:45:02,048 - mmdet - INFO - Epoch [6][700/7330] lr: 1.000e-04, eta: 16:15:05, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0343, loss_cls: 0.1862, acc: 93.5251, loss_bbox: 0.2251, loss_mask: 0.2248, loss: 0.7011 2023-11-14 14:45:15,097 - mmdet - INFO - Epoch [6][750/7330] lr: 1.000e-04, eta: 16:14:53, time: 0.261, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0386, loss_cls: 0.1906, acc: 93.2180, loss_bbox: 0.2342, loss_mask: 0.2364, loss: 0.7290 2023-11-14 14:45:27,920 - mmdet - INFO - Epoch [6][800/7330] lr: 1.000e-04, eta: 16:14:39, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0370, loss_cls: 0.1919, acc: 93.0715, loss_bbox: 0.2404, loss_mask: 0.2424, loss: 0.7426 2023-11-14 14:45:41,033 - mmdet - INFO - Epoch [6][850/7330] lr: 1.000e-04, eta: 16:14:28, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0377, loss_cls: 0.1908, acc: 93.3091, loss_bbox: 0.2296, loss_mask: 0.2314, loss: 0.7194 2023-11-14 14:45:53,701 - mmdet - INFO - Epoch [6][900/7330] lr: 1.000e-04, eta: 16:14:13, time: 0.253, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0363, loss_cls: 0.1968, acc: 93.0056, loss_bbox: 0.2373, loss_mask: 0.2359, loss: 0.7355 2023-11-14 14:46:06,453 - mmdet - INFO - Epoch [6][950/7330] lr: 1.000e-04, eta: 16:13:59, time: 0.255, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0388, loss_cls: 0.1987, acc: 93.0188, loss_bbox: 0.2367, loss_mask: 0.2340, loss: 0.7394 2023-11-14 14:46:19,443 - mmdet - INFO - Epoch [6][1000/7330] lr: 1.000e-04, eta: 16:13:47, time: 0.260, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0359, loss_cls: 0.1912, acc: 93.2439, loss_bbox: 0.2381, loss_mask: 0.2330, loss: 0.7278 2023-11-14 14:46:32,474 - mmdet - INFO - Epoch [6][1050/7330] lr: 1.000e-04, eta: 16:13:35, time: 0.261, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0371, loss_cls: 0.1905, acc: 93.0496, loss_bbox: 0.2413, loss_mask: 0.2356, loss: 0.7332 2023-11-14 14:46:45,668 - mmdet - INFO - Epoch [6][1100/7330] lr: 1.000e-04, eta: 16:13:24, time: 0.264, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0367, loss_cls: 0.1943, acc: 93.0583, loss_bbox: 0.2425, loss_mask: 0.2387, loss: 0.7428 2023-11-14 14:46:58,470 - mmdet - INFO - Epoch [6][1150/7330] lr: 1.000e-04, eta: 16:13:10, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0377, loss_cls: 0.1961, acc: 93.0649, loss_bbox: 0.2400, loss_mask: 0.2327, loss: 0.7388 2023-11-14 14:47:11,456 - mmdet - INFO - Epoch [6][1200/7330] lr: 1.000e-04, eta: 16:12:57, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0374, loss_cls: 0.1921, acc: 93.3059, loss_bbox: 0.2352, loss_mask: 0.2328, loss: 0.7256 2023-11-14 14:47:24,470 - mmdet - INFO - Epoch [6][1250/7330] lr: 1.000e-04, eta: 16:12:45, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0384, loss_cls: 0.1912, acc: 93.1150, loss_bbox: 0.2374, loss_mask: 0.2294, loss: 0.7244 2023-11-14 14:47:37,522 - mmdet - INFO - Epoch [6][1300/7330] lr: 1.000e-04, eta: 16:12:33, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0388, loss_cls: 0.1963, acc: 93.0916, loss_bbox: 0.2347, loss_mask: 0.2362, loss: 0.7368 2023-11-14 14:47:50,004 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 14:47:50,004 - mmdet - INFO - Epoch [6][1350/7330] lr: 1.000e-04, eta: 16:12:18, time: 0.250, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0358, loss_cls: 0.1896, acc: 93.3684, loss_bbox: 0.2219, loss_mask: 0.2283, loss: 0.7056 2023-11-14 14:48:03,160 - mmdet - INFO - Epoch [6][1400/7330] lr: 1.000e-04, eta: 16:12:06, time: 0.263, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0373, loss_cls: 0.1941, acc: 93.0540, loss_bbox: 0.2417, loss_mask: 0.2324, loss: 0.7344 2023-11-14 14:48:16,154 - mmdet - INFO - Epoch [6][1450/7330] lr: 1.000e-04, eta: 16:11:54, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0367, loss_cls: 0.1880, acc: 93.3481, loss_bbox: 0.2299, loss_mask: 0.2333, loss: 0.7193 2023-11-14 14:48:29,220 - mmdet - INFO - Epoch [6][1500/7330] lr: 1.000e-04, eta: 16:11:42, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0384, loss_cls: 0.1890, acc: 93.3584, loss_bbox: 0.2316, loss_mask: 0.2347, loss: 0.7224 2023-11-14 14:48:42,056 - mmdet - INFO - Epoch [6][1550/7330] lr: 1.000e-04, eta: 16:11:28, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0346, loss_cls: 0.1884, acc: 93.3474, loss_bbox: 0.2262, loss_mask: 0.2302, loss: 0.7075 2023-11-14 14:48:55,030 - mmdet - INFO - Epoch [6][1600/7330] lr: 1.000e-04, eta: 16:11:16, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0359, loss_cls: 0.1889, acc: 93.3347, loss_bbox: 0.2262, loss_mask: 0.2323, loss: 0.7133 2023-11-14 14:49:08,096 - mmdet - INFO - Epoch [6][1650/7330] lr: 1.000e-04, eta: 16:11:04, time: 0.261, data_time: 0.020, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0392, loss_cls: 0.1953, acc: 93.0764, loss_bbox: 0.2369, loss_mask: 0.2358, loss: 0.7388 2023-11-14 14:49:20,949 - mmdet - INFO - Epoch [6][1700/7330] lr: 1.000e-04, eta: 16:10:50, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0376, loss_cls: 0.1848, acc: 93.4104, loss_bbox: 0.2288, loss_mask: 0.2313, loss: 0.7147 2023-11-14 14:49:34,055 - mmdet - INFO - Epoch [6][1750/7330] lr: 1.000e-04, eta: 16:10:39, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0372, loss_cls: 0.1930, acc: 93.0281, loss_bbox: 0.2414, loss_mask: 0.2400, loss: 0.7433 2023-11-14 14:49:46,431 - mmdet - INFO - Epoch [6][1800/7330] lr: 1.000e-04, eta: 16:10:23, time: 0.247, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0361, loss_cls: 0.1868, acc: 93.3530, loss_bbox: 0.2232, loss_mask: 0.2322, loss: 0.7081 2023-11-14 14:49:59,629 - mmdet - INFO - Epoch [6][1850/7330] lr: 1.000e-04, eta: 16:10:11, time: 0.264, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0382, loss_cls: 0.1908, acc: 93.0938, loss_bbox: 0.2383, loss_mask: 0.2309, loss: 0.7294 2023-11-14 14:50:12,344 - mmdet - INFO - Epoch [6][1900/7330] lr: 1.000e-04, eta: 16:09:57, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0342, loss_cls: 0.1893, acc: 93.3254, loss_bbox: 0.2310, loss_mask: 0.2361, loss: 0.7199 2023-11-14 14:50:25,093 - mmdet - INFO - Epoch [6][1950/7330] lr: 1.000e-04, eta: 16:09:43, time: 0.255, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0344, loss_cls: 0.1817, acc: 93.6367, loss_bbox: 0.2241, loss_mask: 0.2316, loss: 0.7014 2023-11-14 14:50:38,191 - mmdet - INFO - Epoch [6][2000/7330] lr: 1.000e-04, eta: 16:09:31, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0364, loss_cls: 0.1908, acc: 93.1301, loss_bbox: 0.2341, loss_mask: 0.2264, loss: 0.7184 2023-11-14 14:50:51,376 - mmdet - INFO - Epoch [6][2050/7330] lr: 1.000e-04, eta: 16:09:20, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0359, loss_cls: 0.1858, acc: 93.4749, loss_bbox: 0.2258, loss_mask: 0.2339, loss: 0.7126 2023-11-14 14:51:04,493 - mmdet - INFO - Epoch [6][2100/7330] lr: 1.000e-04, eta: 16:09:08, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0364, loss_cls: 0.1958, acc: 93.0544, loss_bbox: 0.2417, loss_mask: 0.2344, loss: 0.7394 2023-11-14 14:51:17,439 - mmdet - INFO - Epoch [6][2150/7330] lr: 1.000e-04, eta: 16:08:56, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0359, loss_cls: 0.1836, acc: 93.5054, loss_bbox: 0.2240, loss_mask: 0.2335, loss: 0.7071 2023-11-14 14:51:30,602 - mmdet - INFO - Epoch [6][2200/7330] lr: 1.000e-04, eta: 16:08:44, time: 0.263, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0372, loss_cls: 0.1869, acc: 93.2847, loss_bbox: 0.2318, loss_mask: 0.2366, loss: 0.7246 2023-11-14 14:51:43,589 - mmdet - INFO - Epoch [6][2250/7330] lr: 1.000e-04, eta: 16:08:32, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0370, loss_cls: 0.1888, acc: 93.3403, loss_bbox: 0.2284, loss_mask: 0.2316, loss: 0.7156 2023-11-14 14:51:56,692 - mmdet - INFO - Epoch [6][2300/7330] lr: 1.000e-04, eta: 16:08:20, time: 0.262, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0371, loss_cls: 0.1883, acc: 93.3257, loss_bbox: 0.2318, loss_mask: 0.2315, loss: 0.7198 2023-11-14 14:52:09,614 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 14:52:09,614 - mmdet - INFO - Epoch [6][2350/7330] lr: 1.000e-04, eta: 16:08:07, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0373, loss_cls: 0.1912, acc: 93.2341, loss_bbox: 0.2340, loss_mask: 0.2314, loss: 0.7219 2023-11-14 14:52:22,687 - mmdet - INFO - Epoch [6][2400/7330] lr: 1.000e-04, eta: 16:07:55, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0369, loss_cls: 0.1811, acc: 93.6865, loss_bbox: 0.2273, loss_mask: 0.2268, loss: 0.7021 2023-11-14 14:52:35,658 - mmdet - INFO - Epoch [6][2450/7330] lr: 1.000e-04, eta: 16:07:42, time: 0.259, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0380, loss_cls: 0.1919, acc: 93.2104, loss_bbox: 0.2380, loss_mask: 0.2370, loss: 0.7345 2023-11-14 14:52:48,621 - mmdet - INFO - Epoch [6][2500/7330] lr: 1.000e-04, eta: 16:07:30, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0371, loss_cls: 0.1915, acc: 93.2051, loss_bbox: 0.2343, loss_mask: 0.2339, loss: 0.7283 2023-11-14 14:53:01,434 - mmdet - INFO - Epoch [6][2550/7330] lr: 1.000e-04, eta: 16:07:16, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0354, loss_cls: 0.1847, acc: 93.4634, loss_bbox: 0.2262, loss_mask: 0.2339, loss: 0.7100 2023-11-14 14:53:14,254 - mmdet - INFO - Epoch [6][2600/7330] lr: 1.000e-04, eta: 16:07:03, time: 0.256, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0386, loss_cls: 0.2004, acc: 92.9829, loss_bbox: 0.2441, loss_mask: 0.2388, loss: 0.7534 2023-11-14 14:53:27,247 - mmdet - INFO - Epoch [6][2650/7330] lr: 1.000e-04, eta: 16:06:50, time: 0.260, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0385, loss_cls: 0.1963, acc: 93.0496, loss_bbox: 0.2379, loss_mask: 0.2350, loss: 0.7382 2023-11-14 14:53:40,041 - mmdet - INFO - Epoch [6][2700/7330] lr: 1.000e-04, eta: 16:06:37, time: 0.256, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0353, loss_cls: 0.1870, acc: 93.3367, loss_bbox: 0.2313, loss_mask: 0.2315, loss: 0.7119 2023-11-14 14:53:53,167 - mmdet - INFO - Epoch [6][2750/7330] lr: 1.000e-04, eta: 16:06:25, time: 0.263, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0356, loss_cls: 0.1883, acc: 93.3845, loss_bbox: 0.2288, loss_mask: 0.2278, loss: 0.7076 2023-11-14 14:54:05,930 - mmdet - INFO - Epoch [6][2800/7330] lr: 1.000e-04, eta: 16:06:11, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0342, loss_rpn_bbox: 0.0387, loss_cls: 0.1990, acc: 93.0293, loss_bbox: 0.2381, loss_mask: 0.2290, loss: 0.7389 2023-11-14 14:54:19,832 - mmdet - INFO - Epoch [6][2850/7330] lr: 1.000e-04, eta: 16:06:04, time: 0.278, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0372, loss_cls: 0.1906, acc: 93.1794, loss_bbox: 0.2358, loss_mask: 0.2347, loss: 0.7285 2023-11-14 14:54:36,901 - mmdet - INFO - Epoch [6][2900/7330] lr: 1.000e-04, eta: 16:06:14, time: 0.341, data_time: 0.022, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0376, loss_cls: 0.1917, acc: 93.2837, loss_bbox: 0.2297, loss_mask: 0.2319, loss: 0.7212 2023-11-14 14:54:49,773 - mmdet - INFO - Epoch [6][2950/7330] lr: 1.000e-04, eta: 16:06:01, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0345, loss_cls: 0.1884, acc: 93.3154, loss_bbox: 0.2274, loss_mask: 0.2329, loss: 0.7104 2023-11-14 14:55:02,524 - mmdet - INFO - Epoch [6][3000/7330] lr: 1.000e-04, eta: 16:05:47, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0373, loss_cls: 0.1900, acc: 93.2534, loss_bbox: 0.2309, loss_mask: 0.2291, loss: 0.7166 2023-11-14 14:55:15,448 - mmdet - INFO - Epoch [6][3050/7330] lr: 1.000e-04, eta: 16:05:34, time: 0.259, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0352, loss_cls: 0.1857, acc: 93.5193, loss_bbox: 0.2216, loss_mask: 0.2341, loss: 0.7054 2023-11-14 14:55:28,255 - mmdet - INFO - Epoch [6][3100/7330] lr: 1.000e-04, eta: 16:05:21, time: 0.256, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0357, loss_cls: 0.1917, acc: 93.1511, loss_bbox: 0.2329, loss_mask: 0.2371, loss: 0.7253 2023-11-14 14:55:41,185 - mmdet - INFO - Epoch [6][3150/7330] lr: 1.000e-04, eta: 16:05:08, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0363, loss_cls: 0.1888, acc: 93.3108, loss_bbox: 0.2351, loss_mask: 0.2364, loss: 0.7272 2023-11-14 14:55:53,860 - mmdet - INFO - Epoch [6][3200/7330] lr: 1.000e-04, eta: 16:04:54, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0364, loss_cls: 0.1962, acc: 93.1208, loss_bbox: 0.2350, loss_mask: 0.2362, loss: 0.7317 2023-11-14 14:56:06,343 - mmdet - INFO - Epoch [6][3250/7330] lr: 1.000e-04, eta: 16:04:38, time: 0.250, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0365, loss_cls: 0.1949, acc: 93.0862, loss_bbox: 0.2337, loss_mask: 0.2269, loss: 0.7223 2023-11-14 14:56:19,242 - mmdet - INFO - Epoch [6][3300/7330] lr: 1.000e-04, eta: 16:04:25, time: 0.258, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0372, loss_cls: 0.1990, acc: 92.9451, loss_bbox: 0.2397, loss_mask: 0.2362, loss: 0.7409 2023-11-14 14:56:32,069 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 14:56:32,069 - mmdet - INFO - Epoch [6][3350/7330] lr: 1.000e-04, eta: 16:04:12, time: 0.256, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0327, loss_cls: 0.1869, acc: 93.4419, loss_bbox: 0.2228, loss_mask: 0.2276, loss: 0.6962 2023-11-14 14:56:44,989 - mmdet - INFO - Epoch [6][3400/7330] lr: 1.000e-04, eta: 16:03:59, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0364, loss_cls: 0.1952, acc: 93.1411, loss_bbox: 0.2326, loss_mask: 0.2258, loss: 0.7178 2023-11-14 14:56:58,068 - mmdet - INFO - Epoch [6][3450/7330] lr: 1.000e-04, eta: 16:03:47, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0372, loss_cls: 0.1948, acc: 93.1116, loss_bbox: 0.2338, loss_mask: 0.2335, loss: 0.7294 2023-11-14 14:57:10,749 - mmdet - INFO - Epoch [6][3500/7330] lr: 1.000e-04, eta: 16:03:33, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0369, loss_cls: 0.1928, acc: 93.3521, loss_bbox: 0.2333, loss_mask: 0.2360, loss: 0.7303 2023-11-14 14:57:23,639 - mmdet - INFO - Epoch [6][3550/7330] lr: 1.000e-04, eta: 16:03:20, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0348, loss_cls: 0.1838, acc: 93.5647, loss_bbox: 0.2272, loss_mask: 0.2319, loss: 0.7061 2023-11-14 14:57:36,507 - mmdet - INFO - Epoch [6][3600/7330] lr: 1.000e-04, eta: 16:03:06, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0370, loss_cls: 0.1904, acc: 93.3708, loss_bbox: 0.2284, loss_mask: 0.2325, loss: 0.7190 2023-11-14 14:57:49,001 - mmdet - INFO - Epoch [6][3650/7330] lr: 1.000e-04, eta: 16:02:51, time: 0.250, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0340, loss_cls: 0.1763, acc: 93.6990, loss_bbox: 0.2207, loss_mask: 0.2216, loss: 0.6817 2023-11-14 14:58:01,870 - mmdet - INFO - Epoch [6][3700/7330] lr: 1.000e-04, eta: 16:02:38, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0378, loss_cls: 0.1872, acc: 93.2878, loss_bbox: 0.2350, loss_mask: 0.2366, loss: 0.7268 2023-11-14 14:58:15,012 - mmdet - INFO - Epoch [6][3750/7330] lr: 1.000e-04, eta: 16:02:26, time: 0.263, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0370, loss_cls: 0.1863, acc: 93.3550, loss_bbox: 0.2275, loss_mask: 0.2316, loss: 0.7108 2023-11-14 14:58:28,094 - mmdet - INFO - Epoch [6][3800/7330] lr: 1.000e-04, eta: 16:02:14, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0371, loss_cls: 0.1870, acc: 93.2317, loss_bbox: 0.2306, loss_mask: 0.2356, loss: 0.7195 2023-11-14 14:58:41,100 - mmdet - INFO - Epoch [6][3850/7330] lr: 1.000e-04, eta: 16:02:02, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0363, loss_cls: 0.1941, acc: 93.2163, loss_bbox: 0.2312, loss_mask: 0.2334, loss: 0.7241 2023-11-14 14:58:54,090 - mmdet - INFO - Epoch [6][3900/7330] lr: 1.000e-04, eta: 16:01:49, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0364, loss_cls: 0.1878, acc: 93.3262, loss_bbox: 0.2274, loss_mask: 0.2359, loss: 0.7171 2023-11-14 14:59:06,968 - mmdet - INFO - Epoch [6][3950/7330] lr: 1.000e-04, eta: 16:01:36, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0370, loss_cls: 0.1900, acc: 93.0884, loss_bbox: 0.2372, loss_mask: 0.2371, loss: 0.7335 2023-11-14 14:59:19,562 - mmdet - INFO - Epoch [6][4000/7330] lr: 1.000e-04, eta: 16:01:21, time: 0.252, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0400, loss_cls: 0.1949, acc: 93.0220, loss_bbox: 0.2407, loss_mask: 0.2407, loss: 0.7488 2023-11-14 14:59:32,701 - mmdet - INFO - Epoch [6][4050/7330] lr: 1.000e-04, eta: 16:01:10, time: 0.263, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0393, loss_cls: 0.1998, acc: 92.9875, loss_bbox: 0.2377, loss_mask: 0.2322, loss: 0.7396 2023-11-14 14:59:45,506 - mmdet - INFO - Epoch [6][4100/7330] lr: 1.000e-04, eta: 16:00:56, time: 0.256, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0373, loss_cls: 0.1960, acc: 93.1582, loss_bbox: 0.2351, loss_mask: 0.2322, loss: 0.7319 2023-11-14 15:00:08,213 - mmdet - INFO - Epoch [6][4150/7330] lr: 1.000e-04, eta: 16:01:37, time: 0.454, data_time: 0.132, memory: 4452, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0379, loss_cls: 0.1946, acc: 93.1211, loss_bbox: 0.2340, loss_mask: 0.2306, loss: 0.7261 2023-11-14 15:00:24,013 - mmdet - INFO - Epoch [6][4200/7330] lr: 1.000e-04, eta: 16:01:39, time: 0.316, data_time: 0.072, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0343, loss_cls: 0.1920, acc: 93.3579, loss_bbox: 0.2312, loss_mask: 0.2268, loss: 0.7147 2023-11-14 15:00:36,872 - mmdet - INFO - Epoch [6][4250/7330] lr: 1.000e-04, eta: 16:01:26, time: 0.257, data_time: 0.019, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0359, loss_cls: 0.1951, acc: 92.9463, loss_bbox: 0.2381, loss_mask: 0.2306, loss: 0.7294 2023-11-14 15:00:49,537 - mmdet - INFO - Epoch [6][4300/7330] lr: 1.000e-04, eta: 16:01:12, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0339, loss_cls: 0.1848, acc: 93.5505, loss_bbox: 0.2238, loss_mask: 0.2302, loss: 0.7005 2023-11-14 15:01:02,447 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 15:01:02,448 - mmdet - INFO - Epoch [6][4350/7330] lr: 1.000e-04, eta: 16:00:58, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0356, loss_cls: 0.1864, acc: 93.3904, loss_bbox: 0.2287, loss_mask: 0.2245, loss: 0.7039 2023-11-14 15:01:15,399 - mmdet - INFO - Epoch [6][4400/7330] lr: 1.000e-04, eta: 16:00:46, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0358, loss_cls: 0.1929, acc: 93.0662, loss_bbox: 0.2366, loss_mask: 0.2311, loss: 0.7250 2023-11-14 15:01:28,535 - mmdet - INFO - Epoch [6][4450/7330] lr: 1.000e-04, eta: 16:00:34, time: 0.263, data_time: 0.019, memory: 4452, loss_rpn_cls: 0.0343, loss_rpn_bbox: 0.0379, loss_cls: 0.1892, acc: 93.2766, loss_bbox: 0.2288, loss_mask: 0.2326, loss: 0.7228 2023-11-14 15:01:41,473 - mmdet - INFO - Epoch [6][4500/7330] lr: 1.000e-04, eta: 16:00:21, time: 0.259, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0375, loss_cls: 0.1906, acc: 93.3452, loss_bbox: 0.2287, loss_mask: 0.2292, loss: 0.7181 2023-11-14 15:01:54,456 - mmdet - INFO - Epoch [6][4550/7330] lr: 1.000e-04, eta: 16:00:08, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0378, loss_cls: 0.1942, acc: 93.0566, loss_bbox: 0.2344, loss_mask: 0.2353, loss: 0.7309 2023-11-14 15:02:07,329 - mmdet - INFO - Epoch [6][4600/7330] lr: 1.000e-04, eta: 15:59:55, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0374, loss_cls: 0.1894, acc: 93.1794, loss_bbox: 0.2366, loss_mask: 0.2320, loss: 0.7257 2023-11-14 15:02:20,102 - mmdet - INFO - Epoch [6][4650/7330] lr: 1.000e-04, eta: 15:59:41, time: 0.255, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0381, loss_cls: 0.1962, acc: 93.0930, loss_bbox: 0.2364, loss_mask: 0.2358, loss: 0.7354 2023-11-14 15:02:32,823 - mmdet - INFO - Epoch [6][4700/7330] lr: 1.000e-04, eta: 15:59:27, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0382, loss_cls: 0.1982, acc: 92.9375, loss_bbox: 0.2421, loss_mask: 0.2357, loss: 0.7449 2023-11-14 15:02:45,505 - mmdet - INFO - Epoch [6][4750/7330] lr: 1.000e-04, eta: 15:59:13, time: 0.254, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0343, loss_cls: 0.1857, acc: 93.5088, loss_bbox: 0.2242, loss_mask: 0.2285, loss: 0.7019 2023-11-14 15:02:58,253 - mmdet - INFO - Epoch [6][4800/7330] lr: 1.000e-04, eta: 15:58:59, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0374, loss_cls: 0.1900, acc: 93.3350, loss_bbox: 0.2272, loss_mask: 0.2315, loss: 0.7166 2023-11-14 15:03:11,454 - mmdet - INFO - Epoch [6][4850/7330] lr: 1.000e-04, eta: 15:58:47, time: 0.264, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0351, loss_cls: 0.1786, acc: 93.6523, loss_bbox: 0.2181, loss_mask: 0.2222, loss: 0.6814 2023-11-14 15:03:24,301 - mmdet - INFO - Epoch [6][4900/7330] lr: 1.000e-04, eta: 15:58:34, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0326, loss_rpn_bbox: 0.0399, loss_cls: 0.1928, acc: 93.2495, loss_bbox: 0.2342, loss_mask: 0.2344, loss: 0.7339 2023-11-14 15:03:37,166 - mmdet - INFO - Epoch [6][4950/7330] lr: 1.000e-04, eta: 15:58:21, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0318, loss_rpn_bbox: 0.0370, loss_cls: 0.1889, acc: 93.2896, loss_bbox: 0.2287, loss_mask: 0.2321, loss: 0.7185 2023-11-14 15:03:52,823 - mmdet - INFO - Epoch [6][5000/7330] lr: 1.000e-04, eta: 15:58:22, time: 0.313, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0349, loss_cls: 0.1892, acc: 93.2637, loss_bbox: 0.2323, loss_mask: 0.2351, loss: 0.7211 2023-11-14 15:04:05,771 - mmdet - INFO - Epoch [6][5050/7330] lr: 1.000e-04, eta: 15:58:09, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0381, loss_cls: 0.1924, acc: 93.3052, loss_bbox: 0.2319, loss_mask: 0.2325, loss: 0.7253 2023-11-14 15:04:18,811 - mmdet - INFO - Epoch [6][5100/7330] lr: 1.000e-04, eta: 15:57:57, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0355, loss_cls: 0.1881, acc: 93.3855, loss_bbox: 0.2304, loss_mask: 0.2311, loss: 0.7147 2023-11-14 15:04:31,871 - mmdet - INFO - Epoch [6][5150/7330] lr: 1.000e-04, eta: 15:57:45, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0366, loss_cls: 0.1873, acc: 93.3474, loss_bbox: 0.2288, loss_mask: 0.2357, loss: 0.7197 2023-11-14 15:04:44,851 - mmdet - INFO - Epoch [6][5200/7330] lr: 1.000e-04, eta: 15:57:32, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0372, loss_cls: 0.1933, acc: 93.2893, loss_bbox: 0.2285, loss_mask: 0.2296, loss: 0.7186 2023-11-14 15:04:57,887 - mmdet - INFO - Epoch [6][5250/7330] lr: 1.000e-04, eta: 15:57:19, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0367, loss_cls: 0.1923, acc: 93.2385, loss_bbox: 0.2355, loss_mask: 0.2295, loss: 0.7248 2023-11-14 15:05:10,834 - mmdet - INFO - Epoch [6][5300/7330] lr: 1.000e-04, eta: 15:57:07, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0392, loss_cls: 0.1939, acc: 93.1096, loss_bbox: 0.2340, loss_mask: 0.2316, loss: 0.7277 2023-11-14 15:05:23,985 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 15:05:23,986 - mmdet - INFO - Epoch [6][5350/7330] lr: 1.000e-04, eta: 15:56:55, time: 0.263, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0380, loss_cls: 0.1936, acc: 93.1123, loss_bbox: 0.2356, loss_mask: 0.2320, loss: 0.7298 2023-11-14 15:05:37,136 - mmdet - INFO - Epoch [6][5400/7330] lr: 1.000e-04, eta: 15:56:43, time: 0.263, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0365, loss_cls: 0.1907, acc: 93.3223, loss_bbox: 0.2267, loss_mask: 0.2287, loss: 0.7127 2023-11-14 15:05:50,166 - mmdet - INFO - Epoch [6][5450/7330] lr: 1.000e-04, eta: 15:56:30, time: 0.261, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0364, loss_cls: 0.1831, acc: 93.5125, loss_bbox: 0.2248, loss_mask: 0.2261, loss: 0.6979 2023-11-14 15:06:02,957 - mmdet - INFO - Epoch [6][5500/7330] lr: 1.000e-04, eta: 15:56:17, time: 0.255, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0375, loss_cls: 0.1917, acc: 93.4277, loss_bbox: 0.2296, loss_mask: 0.2308, loss: 0.7211 2023-11-14 15:06:16,001 - mmdet - INFO - Epoch [6][5550/7330] lr: 1.000e-04, eta: 15:56:04, time: 0.261, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0357, loss_cls: 0.1919, acc: 93.2461, loss_bbox: 0.2361, loss_mask: 0.2347, loss: 0.7287 2023-11-14 15:06:28,688 - mmdet - INFO - Epoch [6][5600/7330] lr: 1.000e-04, eta: 15:55:50, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0362, loss_cls: 0.1836, acc: 93.5483, loss_bbox: 0.2239, loss_mask: 0.2349, loss: 0.7089 2023-11-14 15:06:41,476 - mmdet - INFO - Epoch [6][5650/7330] lr: 1.000e-04, eta: 15:55:36, time: 0.256, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0357, loss_cls: 0.1872, acc: 93.4802, loss_bbox: 0.2279, loss_mask: 0.2281, loss: 0.7108 2023-11-14 15:06:54,230 - mmdet - INFO - Epoch [6][5700/7330] lr: 1.000e-04, eta: 15:55:22, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0316, loss_rpn_bbox: 0.0373, loss_cls: 0.1927, acc: 93.1484, loss_bbox: 0.2363, loss_mask: 0.2379, loss: 0.7358 2023-11-14 15:07:07,060 - mmdet - INFO - Epoch [6][5750/7330] lr: 1.000e-04, eta: 15:55:09, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0356, loss_cls: 0.1912, acc: 93.1995, loss_bbox: 0.2274, loss_mask: 0.2342, loss: 0.7177 2023-11-14 15:07:19,794 - mmdet - INFO - Epoch [6][5800/7330] lr: 1.000e-04, eta: 15:54:55, time: 0.255, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0355, loss_cls: 0.1946, acc: 92.9480, loss_bbox: 0.2411, loss_mask: 0.2383, loss: 0.7397 2023-11-14 15:07:32,661 - mmdet - INFO - Epoch [6][5850/7330] lr: 1.000e-04, eta: 15:54:42, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0371, loss_cls: 0.1882, acc: 93.2661, loss_bbox: 0.2296, loss_mask: 0.2330, loss: 0.7166 2023-11-14 15:07:45,630 - mmdet - INFO - Epoch [6][5900/7330] lr: 1.000e-04, eta: 15:54:29, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0365, loss_cls: 0.1923, acc: 93.2900, loss_bbox: 0.2317, loss_mask: 0.2364, loss: 0.7274 2023-11-14 15:07:58,801 - mmdet - INFO - Epoch [6][5950/7330] lr: 1.000e-04, eta: 15:54:17, time: 0.263, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0349, loss_rpn_bbox: 0.0375, loss_cls: 0.1928, acc: 93.2498, loss_bbox: 0.2304, loss_mask: 0.2320, loss: 0.7276 2023-11-14 15:08:11,562 - mmdet - INFO - Epoch [6][6000/7330] lr: 1.000e-04, eta: 15:54:03, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0373, loss_cls: 0.1969, acc: 93.1926, loss_bbox: 0.2317, loss_mask: 0.2311, loss: 0.7270 2023-11-14 15:08:24,291 - mmdet - INFO - Epoch [6][6050/7330] lr: 1.000e-04, eta: 15:53:49, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0380, loss_cls: 0.1936, acc: 93.0134, loss_bbox: 0.2389, loss_mask: 0.2377, loss: 0.7395 2023-11-14 15:08:37,191 - mmdet - INFO - Epoch [6][6100/7330] lr: 1.000e-04, eta: 15:53:36, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0355, loss_cls: 0.1853, acc: 93.4221, loss_bbox: 0.2297, loss_mask: 0.2323, loss: 0.7125 2023-11-14 15:08:49,793 - mmdet - INFO - Epoch [6][6150/7330] lr: 1.000e-04, eta: 15:53:21, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0349, loss_cls: 0.1785, acc: 93.7363, loss_bbox: 0.2197, loss_mask: 0.2279, loss: 0.6887 2023-11-14 15:09:02,865 - mmdet - INFO - Epoch [6][6200/7330] lr: 1.000e-04, eta: 15:53:09, time: 0.261, data_time: 0.021, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0351, loss_cls: 0.1801, acc: 93.7024, loss_bbox: 0.2193, loss_mask: 0.2292, loss: 0.6938 2023-11-14 15:09:15,644 - mmdet - INFO - Epoch [6][6250/7330] lr: 1.000e-04, eta: 15:52:55, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0362, loss_cls: 0.1840, acc: 93.4141, loss_bbox: 0.2266, loss_mask: 0.2291, loss: 0.7060 2023-11-14 15:09:28,656 - mmdet - INFO - Epoch [6][6300/7330] lr: 1.000e-04, eta: 15:52:43, time: 0.260, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0362, loss_cls: 0.1947, acc: 93.2258, loss_bbox: 0.2327, loss_mask: 0.2241, loss: 0.7199 2023-11-14 15:09:41,807 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 15:09:41,808 - mmdet - INFO - Epoch [6][6350/7330] lr: 1.000e-04, eta: 15:52:31, time: 0.263, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0322, loss_rpn_bbox: 0.0363, loss_cls: 0.1906, acc: 93.3357, loss_bbox: 0.2344, loss_mask: 0.2279, loss: 0.7214 2023-11-14 15:09:54,576 - mmdet - INFO - Epoch [6][6400/7330] lr: 1.000e-04, eta: 15:52:17, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0363, loss_cls: 0.1838, acc: 93.4216, loss_bbox: 0.2299, loss_mask: 0.2362, loss: 0.7164 2023-11-14 15:10:07,607 - mmdet - INFO - Epoch [6][6450/7330] lr: 1.000e-04, eta: 15:52:05, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0343, loss_cls: 0.1821, acc: 93.5020, loss_bbox: 0.2214, loss_mask: 0.2216, loss: 0.6869 2023-11-14 15:10:20,325 - mmdet - INFO - Epoch [6][6500/7330] lr: 1.000e-04, eta: 15:51:51, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0352, loss_cls: 0.1849, acc: 93.4192, loss_bbox: 0.2289, loss_mask: 0.2339, loss: 0.7118 2023-11-14 15:10:33,392 - mmdet - INFO - Epoch [6][6550/7330] lr: 1.000e-04, eta: 15:51:38, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0343, loss_cls: 0.1863, acc: 93.4578, loss_bbox: 0.2251, loss_mask: 0.2332, loss: 0.7073 2023-11-14 15:10:46,472 - mmdet - INFO - Epoch [6][6600/7330] lr: 1.000e-04, eta: 15:51:26, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0321, loss_rpn_bbox: 0.0385, loss_cls: 0.1956, acc: 93.1360, loss_bbox: 0.2370, loss_mask: 0.2375, loss: 0.7407 2023-11-14 15:10:59,353 - mmdet - INFO - Epoch [6][6650/7330] lr: 1.000e-04, eta: 15:51:13, time: 0.258, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0366, loss_cls: 0.1804, acc: 93.5071, loss_bbox: 0.2271, loss_mask: 0.2336, loss: 0.7085 2023-11-14 15:11:12,590 - mmdet - INFO - Epoch [6][6700/7330] lr: 1.000e-04, eta: 15:51:02, time: 0.265, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0393, loss_cls: 0.1978, acc: 93.0383, loss_bbox: 0.2399, loss_mask: 0.2348, loss: 0.7423 2023-11-14 15:11:25,475 - mmdet - INFO - Epoch [6][6750/7330] lr: 1.000e-04, eta: 15:50:48, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0349, loss_cls: 0.1816, acc: 93.4734, loss_bbox: 0.2257, loss_mask: 0.2303, loss: 0.6996 2023-11-14 15:11:38,427 - mmdet - INFO - Epoch [6][6800/7330] lr: 1.000e-04, eta: 15:50:36, time: 0.259, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0390, loss_cls: 0.1827, acc: 93.4814, loss_bbox: 0.2311, loss_mask: 0.2328, loss: 0.7166 2023-11-14 15:11:51,257 - mmdet - INFO - Epoch [6][6850/7330] lr: 1.000e-04, eta: 15:50:22, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0317, loss_rpn_bbox: 0.0382, loss_cls: 0.1851, acc: 93.4509, loss_bbox: 0.2252, loss_mask: 0.2323, loss: 0.7124 2023-11-14 15:12:04,066 - mmdet - INFO - Epoch [6][6900/7330] lr: 1.000e-04, eta: 15:50:08, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0363, loss_cls: 0.1933, acc: 93.1470, loss_bbox: 0.2298, loss_mask: 0.2362, loss: 0.7253 2023-11-14 15:12:17,080 - mmdet - INFO - Epoch [6][6950/7330] lr: 1.000e-04, eta: 15:49:56, time: 0.260, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0370, loss_cls: 0.1901, acc: 93.1887, loss_bbox: 0.2317, loss_mask: 0.2282, loss: 0.7158 2023-11-14 15:12:30,064 - mmdet - INFO - Epoch [6][7000/7330] lr: 1.000e-04, eta: 15:49:43, time: 0.260, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0376, loss_cls: 0.1992, acc: 92.9944, loss_bbox: 0.2406, loss_mask: 0.2366, loss: 0.7453 2023-11-14 15:12:42,817 - mmdet - INFO - Epoch [6][7050/7330] lr: 1.000e-04, eta: 15:49:29, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0356, loss_cls: 0.1891, acc: 93.3308, loss_bbox: 0.2323, loss_mask: 0.2366, loss: 0.7234 2023-11-14 15:12:55,468 - mmdet - INFO - Epoch [6][7100/7330] lr: 1.000e-04, eta: 15:49:15, time: 0.253, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0370, loss_cls: 0.1887, acc: 93.4058, loss_bbox: 0.2287, loss_mask: 0.2337, loss: 0.7178 2023-11-14 15:13:08,189 - mmdet - INFO - Epoch [6][7150/7330] lr: 1.000e-04, eta: 15:49:01, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0331, loss_cls: 0.1783, acc: 93.7087, loss_bbox: 0.2206, loss_mask: 0.2298, loss: 0.6879 2023-11-14 15:13:21,256 - mmdet - INFO - Epoch [6][7200/7330] lr: 1.000e-04, eta: 15:48:49, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0365, loss_cls: 0.1856, acc: 93.4150, loss_bbox: 0.2262, loss_mask: 0.2282, loss: 0.7049 2023-11-14 15:13:36,913 - mmdet - INFO - Epoch [6][7250/7330] lr: 1.000e-04, eta: 15:48:49, time: 0.313, data_time: 0.037, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0352, loss_cls: 0.1939, acc: 93.2576, loss_bbox: 0.2283, loss_mask: 0.2328, loss: 0.7202 2023-11-14 15:13:49,519 - mmdet - INFO - Epoch [6][7300/7330] lr: 1.000e-04, eta: 15:48:35, time: 0.252, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0347, loss_cls: 0.1823, acc: 93.5098, loss_bbox: 0.2200, loss_mask: 0.2292, loss: 0.6921 2023-11-14 15:13:57,715 - mmdet - INFO - Saving checkpoint at 6 epochs 2023-11-14 15:14:45,577 - mmdet - INFO - Evaluating bbox... 2023-11-14 15:15:19,314 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.446 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.675 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.491 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.288 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.489 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.577 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 ] = 0.620 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.725 2023-11-14 15:15:19,317 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.559 | bicycle | 0.361 | car | 0.463 | | motorcycle | 0.438 | airplane | 0.683 | bus | 0.687 | | train | 0.670 | truck | 0.395 | boat | 0.311 | | traffic light | 0.298 | fire hydrant | 0.665 | stop sign | 0.646 | | parking meter | 0.511 | bench | 0.273 | bird | 0.392 | | cat | 0.687 | dog | 0.646 | horse | 0.604 | | sheep | 0.563 | cow | 0.613 | elephant | 0.671 | | bear | 0.708 | zebra | 0.652 | giraffe | 0.658 | | backpack | 0.192 | umbrella | 0.411 | handbag | 0.184 | | tie | 0.342 | suitcase | 0.431 | frisbee | 0.676 | | skis | 0.270 | snowboard | 0.371 | sports ball | 0.456 | | kite | 0.440 | baseball bat | 0.381 | baseball glove | 0.391 | | skateboard | 0.552 | surfboard | 0.440 | tennis racket | 0.507 | | bottle | 0.426 | wine glass | 0.382 | cup | 0.478 | | fork | 0.374 | knife | 0.225 | spoon | 0.235 | | bowl | 0.454 | banana | 0.251 | apple | 0.250 | | sandwich | 0.392 | orange | 0.323 | broccoli | 0.248 | | carrot | 0.237 | hot dog | 0.411 | pizza | 0.499 | | donut | 0.518 | cake | 0.396 | chair | 0.326 | | couch | 0.457 | potted plant | 0.298 | bed | 0.445 | | dining table | 0.291 | toilet | 0.650 | tv | 0.606 | | laptop | 0.619 | mouse | 0.621 | remote | 0.361 | | keyboard | 0.554 | cell phone | 0.386 | microwave | 0.590 | | oven | 0.350 | toaster | 0.417 | sink | 0.429 | | refrigerator | 0.616 | book | 0.155 | clock | 0.522 | | vase | 0.406 | scissors | 0.315 | teddy bear | 0.484 | | hair drier | 0.168 | toothbrush | 0.282 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 15:15:19,317 - mmdet - INFO - Evaluating segm... 2023-11-14 15:15:57,968 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.403 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.642 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.431 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.211 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.440 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.526 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.526 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.526 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.349 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.571 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.691 2023-11-14 15:15:57,971 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.479 | bicycle | 0.214 | car | 0.423 | | motorcycle | 0.351 | airplane | 0.529 | bus | 0.667 | | train | 0.646 | truck | 0.396 | boat | 0.273 | | traffic light | 0.287 | fire hydrant | 0.651 | stop sign | 0.664 | | parking meter | 0.521 | bench | 0.209 | bird | 0.308 | | cat | 0.701 | dog | 0.613 | horse | 0.448 | | sheep | 0.496 | cow | 0.512 | elephant | 0.608 | | bear | 0.697 | zebra | 0.563 | giraffe | 0.511 | | backpack | 0.204 | umbrella | 0.482 | handbag | 0.186 | | tie | 0.320 | suitcase | 0.456 | frisbee | 0.625 | | skis | 0.035 | snowboard | 0.254 | sports ball | 0.425 | | kite | 0.293 | baseball bat | 0.269 | baseball glove | 0.408 | | skateboard | 0.304 | surfboard | 0.357 | tennis racket | 0.566 | | bottle | 0.405 | wine glass | 0.326 | cup | 0.477 | | fork | 0.185 | knife | 0.146 | spoon | 0.154 | | bowl | 0.429 | banana | 0.199 | apple | 0.252 | | sandwich | 0.410 | orange | 0.326 | broccoli | 0.238 | | carrot | 0.194 | hot dog | 0.334 | pizza | 0.484 | | donut | 0.524 | cake | 0.411 | chair | 0.236 | | couch | 0.407 | potted plant | 0.264 | bed | 0.370 | | dining table | 0.165 | toilet | 0.636 | tv | 0.630 | | laptop | 0.654 | mouse | 0.624 | remote | 0.326 | | keyboard | 0.528 | cell phone | 0.352 | microwave | 0.618 | | oven | 0.349 | toaster | 0.484 | sink | 0.403 | | refrigerator | 0.629 | book | 0.114 | clock | 0.512 | | vase | 0.411 | scissors | 0.275 | teddy bear | 0.475 | | hair drier | 0.119 | toothbrush | 0.184 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 15:15:58,493 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_5.pth was removed 2023-11-14 15:16:00,067 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_6.pth. 2023-11-14 15:16:00,067 - mmdet - INFO - Best bbox_mAP is 0.4456 at 6 epoch. 2023-11-14 15:16:00,068 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 15:16:00,068 - mmdet - INFO - Epoch(val) [6][625] bbox_mAP: 0.4456, bbox_mAP_50: 0.6746, bbox_mAP_75: 0.4908, bbox_mAP_s: 0.2876, bbox_mAP_m: 0.4892, bbox_mAP_l: 0.5817, bbox_mAP_copypaste: 0.4456 0.6746 0.4908 0.2876 0.4892 0.5817, segm_mAP: 0.4026, segm_mAP_50: 0.6415, segm_mAP_75: 0.4313, segm_mAP_s: 0.2111, segm_mAP_m: 0.4396, segm_mAP_l: 0.5914, segm_mAP_copypaste: 0.4026 0.6415 0.4313 0.2111 0.4396 0.5914 2023-11-14 15:16:24,637 - mmdet - INFO - Epoch [7][50/7330] lr: 1.000e-04, eta: 15:48:33, time: 0.491, data_time: 0.247, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0361, loss_cls: 0.1801, acc: 93.5908, loss_bbox: 0.2244, loss_mask: 0.2344, loss: 0.7050 2023-11-14 15:16:56,824 - mmdet - INFO - Epoch [7][100/7330] lr: 1.000e-04, eta: 15:49:56, time: 0.644, data_time: 0.309, memory: 4452, loss_rpn_cls: 0.0319, loss_rpn_bbox: 0.0354, loss_cls: 0.1828, acc: 93.4609, loss_bbox: 0.2240, loss_mask: 0.2275, loss: 0.7016 2023-11-14 15:17:30,251 - mmdet - INFO - Epoch [7][150/7330] lr: 1.000e-04, eta: 15:51:25, time: 0.668, data_time: 0.370, memory: 4452, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0343, loss_cls: 0.1789, acc: 93.7002, loss_bbox: 0.2214, loss_mask: 0.2306, loss: 0.6947 2023-11-14 15:18:03,019 - mmdet - INFO - Epoch [7][200/7330] lr: 1.000e-04, eta: 15:52:50, time: 0.655, data_time: 0.346, memory: 4452, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0384, loss_cls: 0.1852, acc: 93.4075, loss_bbox: 0.2311, loss_mask: 0.2288, loss: 0.7130 2023-11-14 15:18:30,250 - mmdet - INFO - Epoch [7][250/7330] lr: 1.000e-04, eta: 15:53:48, time: 0.545, data_time: 0.075, memory: 4452, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0349, loss_cls: 0.1825, acc: 93.5034, loss_bbox: 0.2267, loss_mask: 0.2318, loss: 0.7042 2023-11-14 15:18:43,506 - mmdet - INFO - Epoch [7][300/7330] lr: 1.000e-04, eta: 15:53:36, time: 0.265, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0344, loss_cls: 0.1833, acc: 93.4539, loss_bbox: 0.2305, loss_mask: 0.2303, loss: 0.7057 2023-11-14 15:18:56,795 - mmdet - INFO - Epoch [7][350/7330] lr: 1.000e-04, eta: 15:53:24, time: 0.266, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0357, loss_cls: 0.1801, acc: 93.6289, loss_bbox: 0.2219, loss_mask: 0.2213, loss: 0.6900 2023-11-14 15:19:09,877 - mmdet - INFO - Epoch [7][400/7330] lr: 1.000e-04, eta: 15:53:12, time: 0.262, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0343, loss_cls: 0.1806, acc: 93.5293, loss_bbox: 0.2272, loss_mask: 0.2279, loss: 0.6971 2023-11-14 15:19:22,895 - mmdet - INFO - Epoch [7][450/7330] lr: 1.000e-04, eta: 15:52:59, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0362, loss_cls: 0.1837, acc: 93.4705, loss_bbox: 0.2252, loss_mask: 0.2261, loss: 0.7009 2023-11-14 15:19:36,013 - mmdet - INFO - Epoch [7][500/7330] lr: 1.000e-04, eta: 15:52:46, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0383, loss_cls: 0.1919, acc: 93.2180, loss_bbox: 0.2330, loss_mask: 0.2303, loss: 0.7238 2023-11-14 15:19:49,196 - mmdet - INFO - Epoch [7][550/7330] lr: 1.000e-04, eta: 15:52:34, time: 0.264, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0357, loss_cls: 0.1797, acc: 93.6082, loss_bbox: 0.2246, loss_mask: 0.2285, loss: 0.6970 2023-11-14 15:20:02,171 - mmdet - INFO - Epoch [7][600/7330] lr: 1.000e-04, eta: 15:52:20, time: 0.259, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0355, loss_cls: 0.1874, acc: 93.2852, loss_bbox: 0.2318, loss_mask: 0.2288, loss: 0.7116 2023-11-14 15:20:15,321 - mmdet - INFO - Epoch [7][650/7330] lr: 1.000e-04, eta: 15:52:08, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0356, loss_cls: 0.1841, acc: 93.4062, loss_bbox: 0.2333, loss_mask: 0.2298, loss: 0.7121 2023-11-14 15:20:28,064 - mmdet - INFO - Epoch [7][700/7330] lr: 1.000e-04, eta: 15:51:54, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0365, loss_cls: 0.1770, acc: 93.7529, loss_bbox: 0.2190, loss_mask: 0.2309, loss: 0.6927 2023-11-14 15:20:40,562 - mmdet - INFO - Epoch [7][750/7330] lr: 1.000e-04, eta: 15:51:38, time: 0.250, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0362, loss_cls: 0.1840, acc: 93.4995, loss_bbox: 0.2278, loss_mask: 0.2300, loss: 0.7082 2023-11-14 15:20:53,459 - mmdet - INFO - Epoch [7][800/7330] lr: 1.000e-04, eta: 15:51:24, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0354, loss_cls: 0.1745, acc: 93.7778, loss_bbox: 0.2212, loss_mask: 0.2299, loss: 0.6888 2023-11-14 15:21:06,300 - mmdet - INFO - Epoch [7][850/7330] lr: 1.000e-04, eta: 15:51:10, time: 0.257, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0367, loss_cls: 0.1965, acc: 93.0015, loss_bbox: 0.2395, loss_mask: 0.2313, loss: 0.7341 2023-11-14 15:21:19,227 - mmdet - INFO - Epoch [7][900/7330] lr: 1.000e-04, eta: 15:50:57, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0365, loss_cls: 0.1841, acc: 93.4023, loss_bbox: 0.2277, loss_mask: 0.2281, loss: 0.7064 2023-11-14 15:21:31,942 - mmdet - INFO - Epoch [7][950/7330] lr: 1.000e-04, eta: 15:50:42, time: 0.254, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0364, loss_cls: 0.1840, acc: 93.3940, loss_bbox: 0.2276, loss_mask: 0.2325, loss: 0.7085 2023-11-14 15:21:44,825 - mmdet - INFO - Epoch [7][1000/7330] lr: 1.000e-04, eta: 15:50:29, time: 0.258, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0361, loss_cls: 0.1830, acc: 93.4250, loss_bbox: 0.2260, loss_mask: 0.2238, loss: 0.6983 2023-11-14 15:21:57,710 - mmdet - INFO - Epoch [7][1050/7330] lr: 1.000e-04, eta: 15:50:15, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0344, loss_cls: 0.1838, acc: 93.4448, loss_bbox: 0.2269, loss_mask: 0.2287, loss: 0.7015 2023-11-14 15:22:10,857 - mmdet - INFO - Epoch [7][1100/7330] lr: 1.000e-04, eta: 15:50:02, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0371, loss_cls: 0.1887, acc: 93.2083, loss_bbox: 0.2315, loss_mask: 0.2287, loss: 0.7157 2023-11-14 15:22:23,491 - mmdet - INFO - Epoch [7][1150/7330] lr: 1.000e-04, eta: 15:49:47, time: 0.253, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0351, loss_cls: 0.1851, acc: 93.4583, loss_bbox: 0.2274, loss_mask: 0.2334, loss: 0.7086 2023-11-14 15:22:36,505 - mmdet - INFO - Epoch [7][1200/7330] lr: 1.000e-04, eta: 15:49:34, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0352, loss_cls: 0.1787, acc: 93.6489, loss_bbox: 0.2135, loss_mask: 0.2225, loss: 0.6770 2023-11-14 15:22:49,354 - mmdet - INFO - Epoch [7][1250/7330] lr: 1.000e-04, eta: 15:49:21, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0358, loss_cls: 0.1846, acc: 93.3818, loss_bbox: 0.2289, loss_mask: 0.2310, loss: 0.7065 2023-11-14 15:23:02,571 - mmdet - INFO - Epoch [7][1300/7330] lr: 1.000e-04, eta: 15:49:08, time: 0.264, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0385, loss_cls: 0.1907, acc: 93.2356, loss_bbox: 0.2346, loss_mask: 0.2347, loss: 0.7275 2023-11-14 15:23:15,788 - mmdet - INFO - Epoch [7][1350/7330] lr: 1.000e-04, eta: 15:48:56, time: 0.264, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0369, loss_cls: 0.1900, acc: 93.1240, loss_bbox: 0.2364, loss_mask: 0.2236, loss: 0.7146 2023-11-14 15:23:28,826 - mmdet - INFO - Epoch [7][1400/7330] lr: 1.000e-04, eta: 15:48:43, time: 0.261, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0388, loss_cls: 0.1911, acc: 93.1438, loss_bbox: 0.2336, loss_mask: 0.2292, loss: 0.7214 2023-11-14 15:23:41,391 - mmdet - INFO - Epoch [7][1450/7330] lr: 1.000e-04, eta: 15:48:28, time: 0.251, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0347, loss_cls: 0.1854, acc: 93.3079, loss_bbox: 0.2271, loss_mask: 0.2262, loss: 0.7017 2023-11-14 15:23:54,495 - mmdet - INFO - Epoch [7][1500/7330] lr: 1.000e-04, eta: 15:48:15, time: 0.262, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0364, loss_cls: 0.1879, acc: 93.3093, loss_bbox: 0.2309, loss_mask: 0.2328, loss: 0.7138 2023-11-14 15:24:07,070 - mmdet - INFO - Epoch [7][1550/7330] lr: 1.000e-04, eta: 15:48:00, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0360, loss_cls: 0.1922, acc: 93.2061, loss_bbox: 0.2323, loss_mask: 0.2303, loss: 0.7192 2023-11-14 15:24:20,029 - mmdet - INFO - Epoch [7][1600/7330] lr: 1.000e-04, eta: 15:47:47, time: 0.259, data_time: 0.020, memory: 4452, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0351, loss_cls: 0.1889, acc: 93.3357, loss_bbox: 0.2267, loss_mask: 0.2278, loss: 0.7076 2023-11-14 15:24:33,022 - mmdet - INFO - Epoch [7][1650/7330] lr: 1.000e-04, eta: 15:47:34, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0391, loss_cls: 0.1980, acc: 92.9734, loss_bbox: 0.2409, loss_mask: 0.2329, loss: 0.7417 2023-11-14 15:24:45,909 - mmdet - INFO - Epoch [7][1700/7330] lr: 1.000e-04, eta: 15:47:20, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0358, loss_cls: 0.1823, acc: 93.4417, loss_bbox: 0.2282, loss_mask: 0.2255, loss: 0.6980 2023-11-14 15:24:58,807 - mmdet - INFO - Epoch [7][1750/7330] lr: 1.000e-04, eta: 15:47:06, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0364, loss_cls: 0.1836, acc: 93.4138, loss_bbox: 0.2252, loss_mask: 0.2295, loss: 0.7043 2023-11-14 15:25:12,032 - mmdet - INFO - Epoch [7][1800/7330] lr: 1.000e-04, eta: 15:46:54, time: 0.265, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0379, loss_cls: 0.1867, acc: 93.3062, loss_bbox: 0.2348, loss_mask: 0.2293, loss: 0.7199 2023-11-14 15:25:24,674 - mmdet - INFO - Epoch [7][1850/7330] lr: 1.000e-04, eta: 15:46:39, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0386, loss_cls: 0.1915, acc: 93.1470, loss_bbox: 0.2399, loss_mask: 0.2289, loss: 0.7293 2023-11-14 15:25:37,397 - mmdet - INFO - Epoch [7][1900/7330] lr: 1.000e-04, eta: 15:46:25, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0355, loss_cls: 0.1842, acc: 93.5015, loss_bbox: 0.2233, loss_mask: 0.2266, loss: 0.6968 2023-11-14 15:25:50,234 - mmdet - INFO - Epoch [7][1950/7330] lr: 1.000e-04, eta: 15:46:11, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0324, loss_rpn_bbox: 0.0397, loss_cls: 0.1927, acc: 93.0276, loss_bbox: 0.2379, loss_mask: 0.2331, loss: 0.7358 2023-11-14 15:26:02,966 - mmdet - INFO - Epoch [7][2000/7330] lr: 1.000e-04, eta: 15:45:57, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0360, loss_cls: 0.1926, acc: 93.1895, loss_bbox: 0.2363, loss_mask: 0.2292, loss: 0.7226 2023-11-14 15:26:15,899 - mmdet - INFO - Epoch [7][2050/7330] lr: 1.000e-04, eta: 15:45:43, time: 0.259, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0357, loss_cls: 0.1803, acc: 93.5935, loss_bbox: 0.2240, loss_mask: 0.2257, loss: 0.6928 2023-11-14 15:26:29,139 - mmdet - INFO - Epoch [7][2100/7330] lr: 1.000e-04, eta: 15:45:31, time: 0.265, data_time: 0.017, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0370, loss_cls: 0.1883, acc: 93.3147, loss_bbox: 0.2296, loss_mask: 0.2308, loss: 0.7148 2023-11-14 15:26:42,201 - mmdet - INFO - Epoch [7][2150/7330] lr: 1.000e-04, eta: 15:45:18, time: 0.261, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0348, loss_cls: 0.1801, acc: 93.5728, loss_bbox: 0.2230, loss_mask: 0.2329, loss: 0.6995 2023-11-14 15:26:55,172 - mmdet - INFO - Epoch [7][2200/7330] lr: 1.000e-04, eta: 15:45:05, time: 0.259, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0377, loss_cls: 0.1922, acc: 93.2065, loss_bbox: 0.2301, loss_mask: 0.2332, loss: 0.7233 2023-11-14 15:27:07,869 - mmdet - INFO - Epoch [7][2250/7330] lr: 1.000e-04, eta: 15:44:51, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0347, loss_cls: 0.1727, acc: 93.9138, loss_bbox: 0.2133, loss_mask: 0.2184, loss: 0.6672 2023-11-14 15:27:20,592 - mmdet - INFO - Epoch [7][2300/7330] lr: 1.000e-04, eta: 15:44:36, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0339, loss_cls: 0.1735, acc: 93.8577, loss_bbox: 0.2162, loss_mask: 0.2281, loss: 0.6790 2023-11-14 15:27:33,288 - mmdet - INFO - Epoch [7][2350/7330] lr: 1.000e-04, eta: 15:44:22, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0343, loss_cls: 0.1772, acc: 93.6477, loss_bbox: 0.2154, loss_mask: 0.2236, loss: 0.6790 2023-11-14 15:27:46,113 - mmdet - INFO - Epoch [7][2400/7330] lr: 1.000e-04, eta: 15:44:08, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0365, loss_cls: 0.1777, acc: 93.6653, loss_bbox: 0.2224, loss_mask: 0.2275, loss: 0.6955 2023-11-14 15:27:58,713 - mmdet - INFO - Epoch [7][2450/7330] lr: 1.000e-04, eta: 15:43:53, time: 0.252, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0334, loss_cls: 0.1823, acc: 93.6201, loss_bbox: 0.2192, loss_mask: 0.2261, loss: 0.6875 2023-11-14 15:28:11,501 - mmdet - INFO - Epoch [7][2500/7330] lr: 1.000e-04, eta: 15:43:38, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0370, loss_cls: 0.1975, acc: 93.0676, loss_bbox: 0.2382, loss_mask: 0.2400, loss: 0.7428 2023-11-14 15:28:24,221 - mmdet - INFO - Epoch [7][2550/7330] lr: 1.000e-04, eta: 15:43:24, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0364, loss_cls: 0.1858, acc: 93.3069, loss_bbox: 0.2288, loss_mask: 0.2278, loss: 0.7079 2023-11-14 15:28:37,252 - mmdet - INFO - Epoch [7][2600/7330] lr: 1.000e-04, eta: 15:43:11, time: 0.261, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0376, loss_cls: 0.1836, acc: 93.4875, loss_bbox: 0.2282, loss_mask: 0.2248, loss: 0.7036 2023-11-14 15:28:50,121 - mmdet - INFO - Epoch [7][2650/7330] lr: 1.000e-04, eta: 15:42:57, time: 0.257, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0361, loss_cls: 0.1872, acc: 93.3804, loss_bbox: 0.2310, loss_mask: 0.2332, loss: 0.7176 2023-11-14 15:29:02,941 - mmdet - INFO - Epoch [7][2700/7330] lr: 1.000e-04, eta: 15:42:43, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0351, loss_cls: 0.1823, acc: 93.4900, loss_bbox: 0.2198, loss_mask: 0.2234, loss: 0.6882 2023-11-14 15:29:15,658 - mmdet - INFO - Epoch [7][2750/7330] lr: 1.000e-04, eta: 15:42:29, time: 0.254, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0383, loss_cls: 0.1857, acc: 93.4185, loss_bbox: 0.2287, loss_mask: 0.2256, loss: 0.7073 2023-11-14 15:29:28,553 - mmdet - INFO - Epoch [7][2800/7330] lr: 1.000e-04, eta: 15:42:15, time: 0.258, data_time: 0.018, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0402, loss_cls: 0.1864, acc: 93.2761, loss_bbox: 0.2333, loss_mask: 0.2334, loss: 0.7231 2023-11-14 15:29:41,203 - mmdet - INFO - Epoch [7][2850/7330] lr: 1.000e-04, eta: 15:42:01, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0380, loss_cls: 0.1847, acc: 93.3618, loss_bbox: 0.2275, loss_mask: 0.2262, loss: 0.7070 2023-11-14 15:29:54,006 - mmdet - INFO - Epoch [7][2900/7330] lr: 1.000e-04, eta: 15:41:47, time: 0.256, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0370, loss_cls: 0.1820, acc: 93.5305, loss_bbox: 0.2260, loss_mask: 0.2297, loss: 0.7032 2023-11-14 15:30:06,826 - mmdet - INFO - Epoch [7][2950/7330] lr: 1.000e-04, eta: 15:41:33, time: 0.256, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0345, loss_cls: 0.1863, acc: 93.4465, loss_bbox: 0.2260, loss_mask: 0.2338, loss: 0.7100 2023-11-14 15:30:19,698 - mmdet - INFO - Epoch [7][3000/7330] lr: 1.000e-04, eta: 15:41:19, time: 0.257, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0362, loss_cls: 0.1866, acc: 93.3306, loss_bbox: 0.2277, loss_mask: 0.2287, loss: 0.7082 2023-11-14 15:30:32,346 - mmdet - INFO - Epoch [7][3050/7330] lr: 1.000e-04, eta: 15:41:04, time: 0.253, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0385, loss_cls: 0.1916, acc: 93.2061, loss_bbox: 0.2350, loss_mask: 0.2347, loss: 0.7292 2023-11-14 15:30:44,942 - mmdet - INFO - Epoch [7][3100/7330] lr: 1.000e-04, eta: 15:40:49, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0353, loss_cls: 0.1830, acc: 93.5303, loss_bbox: 0.2224, loss_mask: 0.2276, loss: 0.6970 2023-11-14 15:30:57,921 - mmdet - INFO - Epoch [7][3150/7330] lr: 1.000e-04, eta: 15:40:36, time: 0.260, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0370, loss_cls: 0.1872, acc: 93.2605, loss_bbox: 0.2348, loss_mask: 0.2350, loss: 0.7228 2023-11-14 15:31:10,722 - mmdet - INFO - Epoch [7][3200/7330] lr: 1.000e-04, eta: 15:40:22, time: 0.256, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0350, loss_cls: 0.1847, acc: 93.3508, loss_bbox: 0.2283, loss_mask: 0.2277, loss: 0.7021 2023-11-14 15:31:23,326 - mmdet - INFO - Epoch [7][3250/7330] lr: 1.000e-04, eta: 15:40:07, time: 0.252, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0356, loss_cls: 0.1861, acc: 93.4285, loss_bbox: 0.2300, loss_mask: 0.2352, loss: 0.7158 2023-11-14 15:31:35,948 - mmdet - INFO - Epoch [7][3300/7330] lr: 1.000e-04, eta: 15:39:52, time: 0.252, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0361, loss_cls: 0.1917, acc: 93.2397, loss_bbox: 0.2315, loss_mask: 0.2301, loss: 0.7196 2023-11-14 15:31:48,732 - mmdet - INFO - Epoch [7][3350/7330] lr: 1.000e-04, eta: 15:39:38, time: 0.256, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0350, loss_cls: 0.1868, acc: 93.3313, loss_bbox: 0.2261, loss_mask: 0.2288, loss: 0.7055 2023-11-14 15:32:01,671 - mmdet - INFO - Epoch [7][3400/7330] lr: 1.000e-04, eta: 15:39:25, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0367, loss_cls: 0.1863, acc: 93.3174, loss_bbox: 0.2298, loss_mask: 0.2294, loss: 0.7121 2023-11-14 15:32:14,754 - mmdet - INFO - Epoch [7][3450/7330] lr: 1.000e-04, eta: 15:39:12, time: 0.262, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0386, loss_cls: 0.1893, acc: 93.2524, loss_bbox: 0.2298, loss_mask: 0.2293, loss: 0.7162 2023-11-14 15:32:27,668 - mmdet - INFO - Epoch [7][3500/7330] lr: 1.000e-04, eta: 15:38:59, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0355, loss_cls: 0.1871, acc: 93.3188, loss_bbox: 0.2255, loss_mask: 0.2224, loss: 0.6989 2023-11-14 15:32:40,378 - mmdet - INFO - Epoch [7][3550/7330] lr: 1.000e-04, eta: 15:38:44, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0367, loss_cls: 0.1947, acc: 93.1118, loss_bbox: 0.2426, loss_mask: 0.2342, loss: 0.7370 2023-11-14 15:32:53,283 - mmdet - INFO - Epoch [7][3600/7330] lr: 1.000e-04, eta: 15:38:31, time: 0.258, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0353, loss_cls: 0.1856, acc: 93.4644, loss_bbox: 0.2259, loss_mask: 0.2273, loss: 0.7042 2023-11-14 15:33:06,015 - mmdet - INFO - Epoch [7][3650/7330] lr: 1.000e-04, eta: 15:38:16, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0351, loss_cls: 0.1889, acc: 93.2351, loss_bbox: 0.2246, loss_mask: 0.2289, loss: 0.7063 2023-11-14 15:33:18,910 - mmdet - INFO - Epoch [7][3700/7330] lr: 1.000e-04, eta: 15:38:03, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0367, loss_cls: 0.1913, acc: 93.1267, loss_bbox: 0.2325, loss_mask: 0.2337, loss: 0.7222 2023-11-14 15:33:31,896 - mmdet - INFO - Epoch [7][3750/7330] lr: 1.000e-04, eta: 15:37:50, time: 0.260, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0360, loss_cls: 0.1847, acc: 93.3704, loss_bbox: 0.2300, loss_mask: 0.2303, loss: 0.7096 2023-11-14 15:33:44,620 - mmdet - INFO - Epoch [7][3800/7330] lr: 1.000e-04, eta: 15:37:35, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0347, loss_cls: 0.1797, acc: 93.6375, loss_bbox: 0.2206, loss_mask: 0.2281, loss: 0.6906 2023-11-14 15:33:57,300 - mmdet - INFO - Epoch [7][3850/7330] lr: 1.000e-04, eta: 15:37:21, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0338, loss_cls: 0.1759, acc: 93.7188, loss_bbox: 0.2189, loss_mask: 0.2295, loss: 0.6874 2023-11-14 15:34:09,888 - mmdet - INFO - Epoch [7][3900/7330] lr: 1.000e-04, eta: 15:37:06, time: 0.252, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0361, loss_cls: 0.1718, acc: 93.7188, loss_bbox: 0.2157, loss_mask: 0.2273, loss: 0.6800 2023-11-14 15:34:23,004 - mmdet - INFO - Epoch [7][3950/7330] lr: 1.000e-04, eta: 15:36:53, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0357, loss_cls: 0.1886, acc: 93.2673, loss_bbox: 0.2286, loss_mask: 0.2264, loss: 0.7072 2023-11-14 15:34:35,768 - mmdet - INFO - Epoch [7][4000/7330] lr: 1.000e-04, eta: 15:36:39, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0358, loss_cls: 0.1830, acc: 93.5347, loss_bbox: 0.2271, loss_mask: 0.2316, loss: 0.7043 2023-11-14 15:34:48,403 - mmdet - INFO - Epoch [7][4050/7330] lr: 1.000e-04, eta: 15:36:24, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0348, loss_cls: 0.1783, acc: 93.6897, loss_bbox: 0.2172, loss_mask: 0.2215, loss: 0.6794 2023-11-14 15:35:01,046 - mmdet - INFO - Epoch [7][4100/7330] lr: 1.000e-04, eta: 15:36:10, time: 0.253, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0359, loss_cls: 0.1913, acc: 93.2551, loss_bbox: 0.2282, loss_mask: 0.2324, loss: 0.7176 2023-11-14 15:35:13,991 - mmdet - INFO - Epoch [7][4150/7330] lr: 1.000e-04, eta: 15:35:56, time: 0.259, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0382, loss_cls: 0.1957, acc: 93.0115, loss_bbox: 0.2380, loss_mask: 0.2332, loss: 0.7326 2023-11-14 15:35:26,848 - mmdet - INFO - Epoch [7][4200/7330] lr: 1.000e-04, eta: 15:35:43, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0375, loss_cls: 0.1960, acc: 93.0181, loss_bbox: 0.2336, loss_mask: 0.2322, loss: 0.7292 2023-11-14 15:35:39,556 - mmdet - INFO - Epoch [7][4250/7330] lr: 1.000e-04, eta: 15:35:28, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0345, loss_cls: 0.1780, acc: 93.6194, loss_bbox: 0.2203, loss_mask: 0.2293, loss: 0.6914 2023-11-14 15:35:52,303 - mmdet - INFO - Epoch [7][4300/7330] lr: 1.000e-04, eta: 15:35:14, time: 0.255, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0372, loss_cls: 0.2006, acc: 92.8879, loss_bbox: 0.2393, loss_mask: 0.2375, loss: 0.7444 2023-11-14 15:36:05,038 - mmdet - INFO - Epoch [7][4350/7330] lr: 1.000e-04, eta: 15:35:00, time: 0.255, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0362, loss_cls: 0.1855, acc: 93.4233, loss_bbox: 0.2304, loss_mask: 0.2262, loss: 0.7080 2023-11-14 15:36:17,903 - mmdet - INFO - Epoch [7][4400/7330] lr: 1.000e-04, eta: 15:34:46, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0363, loss_cls: 0.1810, acc: 93.6309, loss_bbox: 0.2230, loss_mask: 0.2334, loss: 0.7020 2023-11-14 15:36:30,729 - mmdet - INFO - Epoch [7][4450/7330] lr: 1.000e-04, eta: 15:34:32, time: 0.257, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0382, loss_cls: 0.1848, acc: 93.4197, loss_bbox: 0.2308, loss_mask: 0.2334, loss: 0.7161 2023-11-14 15:36:43,348 - mmdet - INFO - Epoch [7][4500/7330] lr: 1.000e-04, eta: 15:34:17, time: 0.252, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0370, loss_cls: 0.1767, acc: 93.7102, loss_bbox: 0.2218, loss_mask: 0.2291, loss: 0.6928 2023-11-14 15:36:56,089 - mmdet - INFO - Epoch [7][4550/7330] lr: 1.000e-04, eta: 15:34:03, time: 0.255, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0385, loss_cls: 0.1919, acc: 93.2058, loss_bbox: 0.2333, loss_mask: 0.2370, loss: 0.7301 2023-11-14 15:37:08,797 - mmdet - INFO - Epoch [7][4600/7330] lr: 1.000e-04, eta: 15:33:49, time: 0.254, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0341, loss_cls: 0.1844, acc: 93.4814, loss_bbox: 0.2267, loss_mask: 0.2277, loss: 0.7006 2023-11-14 15:37:21,529 - mmdet - INFO - Epoch [7][4650/7330] lr: 1.000e-04, eta: 15:33:35, time: 0.255, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0342, loss_cls: 0.1818, acc: 93.5876, loss_bbox: 0.2205, loss_mask: 0.2260, loss: 0.6901 2023-11-14 15:37:34,234 - mmdet - INFO - Epoch [7][4700/7330] lr: 1.000e-04, eta: 15:33:20, time: 0.254, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0357, loss_cls: 0.1801, acc: 93.5496, loss_bbox: 0.2284, loss_mask: 0.2220, loss: 0.6938 2023-11-14 15:37:47,364 - mmdet - INFO - Epoch [7][4750/7330] lr: 1.000e-04, eta: 15:33:08, time: 0.263, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0308, loss_rpn_bbox: 0.0387, loss_cls: 0.1923, acc: 93.2478, loss_bbox: 0.2430, loss_mask: 0.2295, loss: 0.7344 2023-11-14 15:38:00,200 - mmdet - INFO - Epoch [7][4800/7330] lr: 1.000e-04, eta: 15:32:54, time: 0.257, data_time: 0.014, memory: 4452, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0368, loss_cls: 0.1888, acc: 93.2693, loss_bbox: 0.2326, loss_mask: 0.2339, loss: 0.7208 2023-11-14 15:38:13,045 - mmdet - INFO - Epoch [7][4850/7330] lr: 1.000e-04, eta: 15:32:40, time: 0.257, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0328, loss_cls: 0.1746, acc: 93.8247, loss_bbox: 0.2119, loss_mask: 0.2193, loss: 0.6649 2023-11-14 15:38:26,206 - mmdet - INFO - Epoch [7][4900/7330] lr: 1.000e-04, eta: 15:32:28, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0370, loss_cls: 0.1849, acc: 93.2969, loss_bbox: 0.2313, loss_mask: 0.2281, loss: 0.7112 2023-11-14 15:38:39,366 - mmdet - INFO - Epoch [7][4950/7330] lr: 1.000e-04, eta: 15:32:15, time: 0.263, data_time: 0.013, memory: 4452, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0352, loss_cls: 0.1867, acc: 93.3508, loss_bbox: 0.2318, loss_mask: 0.2268, loss: 0.7098 2023-11-14 15:38:52,247 - mmdet - INFO - Epoch [7][5000/7330] lr: 1.000e-04, eta: 15:32:02, time: 0.258, data_time: 0.012, memory: 4452, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0375, loss_cls: 0.1886, acc: 93.2766, loss_bbox: 0.2282, loss_mask: 0.2347, loss: 0.7189 2023-11-14 15:39:05,143 - mmdet - INFO - Epoch [7][5050/7330] lr: 1.000e-04, eta: 15:31:48, time: 0.258, data_time: 0.016, memory: 4452, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0361, loss_cls: 0.1918, acc: 93.1904, loss_bbox: 0.2382, loss_mask: 0.2279, loss: 0.7233 2023-11-14 15:39:18,248 - mmdet - INFO - Epoch [7][5100/7330] lr: 1.000e-04, eta: 15:31:36, time: 0.262, data_time: 0.015, memory: 4452, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0350, loss_cls: 0.1777, acc: 93.6406, loss_bbox: 0.2194, loss_mask: 0.2261, loss: 0.6851 2023-11-14 15:39:31,008 - mmdet - INFO - Epoch [7][5150/7330] lr: 1.000e-04, eta: 15:31:22, time: 0.255, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0343, loss_cls: 0.1890, acc: 93.2705, loss_bbox: 0.2307, loss_mask: 0.2307, loss: 0.7130 2023-11-14 15:39:43,879 - mmdet - INFO - Epoch [7][5200/7330] lr: 1.000e-04, eta: 15:31:08, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0367, loss_cls: 0.1862, acc: 93.3865, loss_bbox: 0.2271, loss_mask: 0.2278, loss: 0.7055 2023-11-14 15:39:56,632 - mmdet - INFO - Epoch [7][5250/7330] lr: 1.000e-04, eta: 15:30:54, time: 0.255, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0384, loss_cls: 0.1969, acc: 93.0530, loss_bbox: 0.2360, loss_mask: 0.2315, loss: 0.7325 2023-11-14 15:40:09,280 - mmdet - INFO - Epoch [7][5300/7330] lr: 1.000e-04, eta: 15:30:39, time: 0.253, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0347, loss_cls: 0.1855, acc: 93.5054, loss_bbox: 0.2262, loss_mask: 0.2296, loss: 0.7043 2023-11-14 15:40:22,137 - mmdet - INFO - Epoch [7][5350/7330] lr: 1.000e-04, eta: 15:30:26, time: 0.257, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0356, loss_cls: 0.1861, acc: 93.4880, loss_bbox: 0.2230, loss_mask: 0.2308, loss: 0.7042 2023-11-14 15:40:35,084 - mmdet - INFO - Epoch [7][5400/7330] lr: 1.000e-04, eta: 15:30:12, time: 0.259, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0364, loss_cls: 0.1833, acc: 93.3127, loss_bbox: 0.2274, loss_mask: 0.2292, loss: 0.7051 2023-11-14 15:40:47,677 - mmdet - INFO - Epoch [7][5450/7330] lr: 1.000e-04, eta: 15:29:58, time: 0.252, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0358, loss_cls: 0.1914, acc: 93.2781, loss_bbox: 0.2282, loss_mask: 0.2294, loss: 0.7150 2023-11-14 15:41:00,457 - mmdet - INFO - Epoch [7][5500/7330] lr: 1.000e-04, eta: 15:29:44, time: 0.256, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0353, loss_cls: 0.1835, acc: 93.4497, loss_bbox: 0.2250, loss_mask: 0.2288, loss: 0.7021 2023-11-14 15:41:13,132 - mmdet - INFO - Epoch [7][5550/7330] lr: 1.000e-04, eta: 15:29:29, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0352, loss_cls: 0.1866, acc: 93.4407, loss_bbox: 0.2248, loss_mask: 0.2264, loss: 0.6999 2023-11-14 15:41:25,835 - mmdet - INFO - Epoch [7][5600/7330] lr: 1.000e-04, eta: 15:29:15, time: 0.254, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0351, loss_cls: 0.1867, acc: 93.3679, loss_bbox: 0.2272, loss_mask: 0.2260, loss: 0.7036 2023-11-14 15:41:38,757 - mmdet - INFO - Epoch [7][5650/7330] lr: 1.000e-04, eta: 15:29:01, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0376, loss_cls: 0.1901, acc: 93.1482, loss_bbox: 0.2349, loss_mask: 0.2269, loss: 0.7185 2023-11-14 15:41:51,591 - mmdet - INFO - Epoch [7][5700/7330] lr: 1.000e-04, eta: 15:28:48, time: 0.257, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0356, loss_cls: 0.1830, acc: 93.5332, loss_bbox: 0.2201, loss_mask: 0.2230, loss: 0.6913 2023-11-14 15:42:04,339 - mmdet - INFO - Epoch [7][5750/7330] lr: 1.000e-04, eta: 15:28:33, time: 0.255, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0357, loss_cls: 0.1942, acc: 93.1072, loss_bbox: 0.2352, loss_mask: 0.2305, loss: 0.7250 2023-11-14 15:42:18,237 - mmdet - INFO - Epoch [7][5800/7330] lr: 1.000e-04, eta: 15:28:24, time: 0.278, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0334, loss_cls: 0.1789, acc: 93.5686, loss_bbox: 0.2218, loss_mask: 0.2304, loss: 0.6918 2023-11-14 15:42:31,081 - mmdet - INFO - Epoch [7][5850/7330] lr: 1.000e-04, eta: 15:28:11, time: 0.257, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0359, loss_cls: 0.1818, acc: 93.6189, loss_bbox: 0.2238, loss_mask: 0.2271, loss: 0.6963 2023-11-14 15:42:43,961 - mmdet - INFO - Epoch [7][5900/7330] lr: 1.000e-04, eta: 15:27:57, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0373, loss_cls: 0.1968, acc: 92.9861, loss_bbox: 0.2360, loss_mask: 0.2346, loss: 0.7360 2023-11-14 15:42:56,722 - mmdet - INFO - Epoch [7][5950/7330] lr: 1.000e-04, eta: 15:27:43, time: 0.255, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0343, loss_cls: 0.1761, acc: 93.8149, loss_bbox: 0.2208, loss_mask: 0.2271, loss: 0.6839 2023-11-14 15:43:09,237 - mmdet - INFO - Epoch [7][6000/7330] lr: 1.000e-04, eta: 15:27:28, time: 0.250, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0357, loss_cls: 0.1843, acc: 93.4260, loss_bbox: 0.2228, loss_mask: 0.2247, loss: 0.6948 2023-11-14 15:43:22,005 - mmdet - INFO - Epoch [7][6050/7330] lr: 1.000e-04, eta: 15:27:14, time: 0.255, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0341, loss_cls: 0.1790, acc: 93.6072, loss_bbox: 0.2261, loss_mask: 0.2261, loss: 0.6919 2023-11-14 15:43:34,634 - mmdet - INFO - Epoch [7][6100/7330] lr: 1.000e-04, eta: 15:26:59, time: 0.253, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0333, loss_cls: 0.1819, acc: 93.5913, loss_bbox: 0.2192, loss_mask: 0.2217, loss: 0.6844 2023-11-14 15:43:47,418 - mmdet - INFO - Epoch [7][6150/7330] lr: 1.000e-04, eta: 15:26:45, time: 0.256, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0378, loss_cls: 0.1865, acc: 93.3938, loss_bbox: 0.2258, loss_mask: 0.2328, loss: 0.7123 2023-11-14 15:44:00,280 - mmdet - INFO - Epoch [7][6200/7330] lr: 1.000e-04, eta: 15:26:32, time: 0.257, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0363, loss_cls: 0.1847, acc: 93.4595, loss_bbox: 0.2290, loss_mask: 0.2306, loss: 0.7104 2023-11-14 15:44:13,412 - mmdet - INFO - Epoch [7][6250/7330] lr: 1.000e-04, eta: 15:26:19, time: 0.263, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0368, loss_cls: 0.1872, acc: 93.4312, loss_bbox: 0.2288, loss_mask: 0.2285, loss: 0.7110 2023-11-14 15:44:26,168 - mmdet - INFO - Epoch [7][6300/7330] lr: 1.000e-04, eta: 15:26:05, time: 0.255, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0359, loss_cls: 0.1938, acc: 93.3062, loss_bbox: 0.2292, loss_mask: 0.2297, loss: 0.7191 2023-11-14 15:44:39,054 - mmdet - INFO - Epoch [7][6350/7330] lr: 1.000e-04, eta: 15:25:51, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0369, loss_cls: 0.1847, acc: 93.4531, loss_bbox: 0.2241, loss_mask: 0.2303, loss: 0.7057 2023-11-14 15:44:51,618 - mmdet - INFO - Epoch [7][6400/7330] lr: 1.000e-04, eta: 15:25:37, time: 0.251, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0359, loss_cls: 0.1817, acc: 93.5137, loss_bbox: 0.2234, loss_mask: 0.2331, loss: 0.7030 2023-11-14 15:45:04,307 - mmdet - INFO - Epoch [7][6450/7330] lr: 1.000e-04, eta: 15:25:22, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0381, loss_cls: 0.1898, acc: 93.2004, loss_bbox: 0.2308, loss_mask: 0.2339, loss: 0.7233 2023-11-14 15:45:16,900 - mmdet - INFO - Epoch [7][6500/7330] lr: 1.000e-04, eta: 15:25:07, time: 0.252, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0357, loss_cls: 0.1921, acc: 93.3127, loss_bbox: 0.2289, loss_mask: 0.2313, loss: 0.7174 2023-11-14 15:45:29,605 - mmdet - INFO - Epoch [7][6550/7330] lr: 1.000e-04, eta: 15:24:53, time: 0.254, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0350, loss_cls: 0.1792, acc: 93.5745, loss_bbox: 0.2271, loss_mask: 0.2285, loss: 0.6981 2023-11-14 15:45:42,618 - mmdet - INFO - Epoch [7][6600/7330] lr: 1.000e-04, eta: 15:24:40, time: 0.260, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0362, loss_cls: 0.1880, acc: 93.3506, loss_bbox: 0.2297, loss_mask: 0.2353, loss: 0.7194 2023-11-14 15:45:55,352 - mmdet - INFO - Epoch [7][6650/7330] lr: 1.000e-04, eta: 15:24:26, time: 0.255, data_time: 0.011, memory: 4506, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0339, loss_cls: 0.1738, acc: 93.8481, loss_bbox: 0.2127, loss_mask: 0.2263, loss: 0.6719 2023-11-14 15:46:07,936 - mmdet - INFO - Epoch [7][6700/7330] lr: 1.000e-04, eta: 15:24:11, time: 0.252, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0352, loss_cls: 0.1850, acc: 93.5615, loss_bbox: 0.2251, loss_mask: 0.2273, loss: 0.7014 2023-11-14 15:46:20,721 - mmdet - INFO - Epoch [7][6750/7330] lr: 1.000e-04, eta: 15:23:57, time: 0.256, data_time: 0.011, memory: 4506, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0363, loss_cls: 0.1883, acc: 93.3594, loss_bbox: 0.2320, loss_mask: 0.2334, loss: 0.7201 2023-11-14 15:46:33,672 - mmdet - INFO - Epoch [7][6800/7330] lr: 1.000e-04, eta: 15:23:44, time: 0.259, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0339, loss_cls: 0.1775, acc: 93.6929, loss_bbox: 0.2141, loss_mask: 0.2193, loss: 0.6724 2023-11-14 15:46:46,343 - mmdet - INFO - Epoch [7][6850/7330] lr: 1.000e-04, eta: 15:23:30, time: 0.253, data_time: 0.011, memory: 4506, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0331, loss_cls: 0.1736, acc: 93.9260, loss_bbox: 0.2141, loss_mask: 0.2297, loss: 0.6758 2023-11-14 15:46:59,392 - mmdet - INFO - Epoch [7][6900/7330] lr: 1.000e-04, eta: 15:23:17, time: 0.261, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0357, loss_cls: 0.1877, acc: 93.1902, loss_bbox: 0.2282, loss_mask: 0.2309, loss: 0.7124 2023-11-14 15:47:12,315 - mmdet - INFO - Epoch [7][6950/7330] lr: 1.000e-04, eta: 15:23:04, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0353, loss_cls: 0.1810, acc: 93.5056, loss_bbox: 0.2212, loss_mask: 0.2352, loss: 0.7033 2023-11-14 15:47:24,988 - mmdet - INFO - Epoch [7][7000/7330] lr: 1.000e-04, eta: 15:22:49, time: 0.254, data_time: 0.012, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0352, loss_cls: 0.1766, acc: 93.7510, loss_bbox: 0.2204, loss_mask: 0.2239, loss: 0.6845 2023-11-14 15:47:37,621 - mmdet - INFO - Epoch [7][7050/7330] lr: 1.000e-04, eta: 15:22:35, time: 0.253, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0341, loss_cls: 0.1755, acc: 93.8357, loss_bbox: 0.2107, loss_mask: 0.2297, loss: 0.6769 2023-11-14 15:47:50,319 - mmdet - INFO - Epoch [7][7100/7330] lr: 1.000e-04, eta: 15:22:20, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0357, loss_cls: 0.1896, acc: 93.2681, loss_bbox: 0.2279, loss_mask: 0.2296, loss: 0.7120 2023-11-14 15:48:02,879 - mmdet - INFO - Epoch [7][7150/7330] lr: 1.000e-04, eta: 15:22:06, time: 0.251, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0335, loss_cls: 0.1838, acc: 93.5364, loss_bbox: 0.2181, loss_mask: 0.2237, loss: 0.6881 2023-11-14 15:48:15,570 - mmdet - INFO - Epoch [7][7200/7330] lr: 1.000e-04, eta: 15:21:51, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0354, loss_cls: 0.1865, acc: 93.3499, loss_bbox: 0.2281, loss_mask: 0.2246, loss: 0.7019 2023-11-14 15:48:28,043 - mmdet - INFO - Epoch [7][7250/7330] lr: 1.000e-04, eta: 15:21:36, time: 0.250, data_time: 0.011, memory: 4506, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0329, loss_cls: 0.1787, acc: 93.6980, loss_bbox: 0.2144, loss_mask: 0.2226, loss: 0.6745 2023-11-14 15:48:40,881 - mmdet - INFO - Epoch [7][7300/7330] lr: 1.000e-04, eta: 15:21:22, time: 0.257, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0343, loss_cls: 0.1789, acc: 93.6267, loss_bbox: 0.2165, loss_mask: 0.2228, loss: 0.6784 2023-11-14 15:48:49,234 - mmdet - INFO - Saving checkpoint at 7 epochs 2023-11-14 15:49:35,580 - mmdet - INFO - Evaluating bbox... 2023-11-14 15:50:06,339 - 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 ] = 0.679 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.505 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.311 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.493 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.582 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.585 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.585 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.585 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 ] = 0.627 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.725 2023-11-14 15:50:06,342 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.566 | bicycle | 0.364 | car | 0.464 | | motorcycle | 0.473 | airplane | 0.686 | bus | 0.685 | | train | 0.631 | truck | 0.412 | boat | 0.325 | | traffic light | 0.298 | fire hydrant | 0.696 | stop sign | 0.665 | | parking meter | 0.463 | bench | 0.276 | bird | 0.404 | | cat | 0.661 | dog | 0.682 | horse | 0.607 | | sheep | 0.584 | cow | 0.610 | elephant | 0.678 | | bear | 0.718 | zebra | 0.696 | giraffe | 0.663 | | backpack | 0.189 | umbrella | 0.434 | handbag | 0.197 | | tie | 0.343 | suitcase | 0.449 | frisbee | 0.658 | | skis | 0.252 | snowboard | 0.413 | sports ball | 0.463 | | kite | 0.432 | baseball bat | 0.361 | baseball glove | 0.417 | | skateboard | 0.524 | surfboard | 0.440 | tennis racket | 0.519 | | bottle | 0.420 | wine glass | 0.385 | cup | 0.488 | | fork | 0.358 | knife | 0.240 | spoon | 0.243 | | bowl | 0.460 | banana | 0.285 | apple | 0.263 | | sandwich | 0.383 | orange | 0.345 | broccoli | 0.259 | | carrot | 0.240 | hot dog | 0.430 | pizza | 0.530 | | donut | 0.541 | cake | 0.434 | chair | 0.332 | | couch | 0.456 | potted plant | 0.315 | bed | 0.489 | | dining table | 0.290 | toilet | 0.643 | tv | 0.607 | | laptop | 0.641 | mouse | 0.616 | remote | 0.378 | | keyboard | 0.514 | cell phone | 0.412 | microwave | 0.621 | | oven | 0.375 | toaster | 0.502 | sink | 0.423 | | refrigerator | 0.627 | book | 0.178 | clock | 0.519 | | vase | 0.430 | scissors | 0.348 | teddy bear | 0.496 | | hair drier | 0.092 | toothbrush | 0.272 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 15:50:06,342 - mmdet - INFO - Evaluating segm... 2023-11-14 15:50:40,983 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.412 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.649 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.443 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.231 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 ] = 0.596 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.536 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 ] = 0.581 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.694 2023-11-14 15:50:40,985 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.487 | bicycle | 0.226 | car | 0.428 | | motorcycle | 0.379 | airplane | 0.543 | bus | 0.676 | | train | 0.623 | truck | 0.405 | boat | 0.289 | | traffic light | 0.284 | fire hydrant | 0.693 | stop sign | 0.661 | | parking meter | 0.495 | bench | 0.211 | bird | 0.319 | | cat | 0.668 | dog | 0.638 | horse | 0.453 | | sheep | 0.515 | cow | 0.521 | elephant | 0.613 | | bear | 0.729 | zebra | 0.604 | giraffe | 0.524 | | backpack | 0.192 | umbrella | 0.503 | handbag | 0.194 | | tie | 0.322 | suitcase | 0.477 | frisbee | 0.616 | | skis | 0.046 | snowboard | 0.270 | sports ball | 0.427 | | kite | 0.312 | baseball bat | 0.289 | baseball glove | 0.431 | | skateboard | 0.353 | surfboard | 0.353 | tennis racket | 0.556 | | bottle | 0.406 | wine glass | 0.349 | cup | 0.488 | | fork | 0.200 | knife | 0.164 | spoon | 0.166 | | bowl | 0.427 | banana | 0.222 | apple | 0.262 | | sandwich | 0.420 | orange | 0.348 | broccoli | 0.243 | | carrot | 0.210 | hot dog | 0.353 | pizza | 0.516 | | donut | 0.547 | cake | 0.437 | chair | 0.241 | | couch | 0.398 | potted plant | 0.274 | bed | 0.384 | | dining table | 0.160 | toilet | 0.620 | tv | 0.628 | | laptop | 0.661 | mouse | 0.628 | remote | 0.343 | | keyboard | 0.505 | cell phone | 0.388 | microwave | 0.640 | | oven | 0.359 | toaster | 0.527 | sink | 0.414 | | refrigerator | 0.638 | book | 0.129 | clock | 0.521 | | vase | 0.434 | scissors | 0.260 | teddy bear | 0.490 | | hair drier | 0.079 | toothbrush | 0.191 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 15:50:41,486 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_6.pth was removed 2023-11-14 15:50:43,085 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_7.pth. 2023-11-14 15:50:43,085 - mmdet - INFO - Best bbox_mAP is 0.4534 at 7 epoch. 2023-11-14 15:50:43,086 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 15:50:43,086 - mmdet - INFO - Epoch(val) [7][625] bbox_mAP: 0.4534, bbox_mAP_50: 0.6792, bbox_mAP_75: 0.5054, bbox_mAP_s: 0.3108, bbox_mAP_m: 0.4929, bbox_mAP_l: 0.5817, bbox_mAP_copypaste: 0.4534 0.6792 0.5054 0.3108 0.4929 0.5817, segm_mAP: 0.4124, segm_mAP_50: 0.6488, segm_mAP_75: 0.4428, segm_mAP_s: 0.2305, segm_mAP_m: 0.4498, segm_mAP_l: 0.5963, segm_mAP_copypaste: 0.4124 0.6488 0.4428 0.2305 0.4498 0.5963 2023-11-14 15:50:59,678 - mmdet - INFO - Epoch [8][50/7330] lr: 1.000e-04, eta: 15:20:44, time: 0.331, data_time: 0.080, memory: 4506, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0334, loss_cls: 0.1836, acc: 93.4968, loss_bbox: 0.2259, loss_mask: 0.2291, loss: 0.6972 2023-11-14 15:51:12,955 - mmdet - INFO - Epoch [8][100/7330] lr: 1.000e-04, eta: 15:20:32, time: 0.266, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0349, loss_cls: 0.1808, acc: 93.5088, loss_bbox: 0.2234, loss_mask: 0.2250, loss: 0.6912 2023-11-14 15:51:26,597 - mmdet - INFO - Epoch [8][150/7330] lr: 1.000e-04, eta: 15:20:22, time: 0.273, data_time: 0.019, memory: 4506, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0372, loss_cls: 0.1906, acc: 93.1096, loss_bbox: 0.2382, loss_mask: 0.2276, loss: 0.7213 2023-11-14 15:51:40,082 - mmdet - INFO - Epoch [8][200/7330] lr: 1.000e-04, eta: 15:20:11, time: 0.270, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0355, loss_cls: 0.1848, acc: 93.3008, loss_bbox: 0.2319, loss_mask: 0.2248, loss: 0.7037 2023-11-14 15:51:53,381 - mmdet - INFO - Epoch [8][250/7330] lr: 1.000e-04, eta: 15:19:59, time: 0.266, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0359, loss_cls: 0.1847, acc: 93.4678, loss_bbox: 0.2252, loss_mask: 0.2283, loss: 0.7022 2023-11-14 15:52:06,707 - mmdet - INFO - Epoch [8][300/7330] lr: 1.000e-04, eta: 15:19:47, time: 0.267, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0361, loss_cls: 0.1815, acc: 93.4944, loss_bbox: 0.2277, loss_mask: 0.2276, loss: 0.7016 2023-11-14 15:52:20,010 - mmdet - INFO - Epoch [8][350/7330] lr: 1.000e-04, eta: 15:19:36, time: 0.266, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0372, loss_cls: 0.1874, acc: 93.3237, loss_bbox: 0.2318, loss_mask: 0.2284, loss: 0.7126 2023-11-14 15:52:33,265 - mmdet - INFO - Epoch [8][400/7330] lr: 1.000e-04, eta: 15:19:24, time: 0.265, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0348, loss_cls: 0.1855, acc: 93.3391, loss_bbox: 0.2272, loss_mask: 0.2276, loss: 0.7012 2023-11-14 15:52:46,587 - mmdet - INFO - Epoch [8][450/7330] lr: 1.000e-04, eta: 15:19:12, time: 0.266, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0357, loss_cls: 0.1912, acc: 93.2393, loss_bbox: 0.2339, loss_mask: 0.2223, loss: 0.7124 2023-11-14 15:53:00,478 - mmdet - INFO - Epoch [8][500/7330] lr: 1.000e-04, eta: 15:19:03, time: 0.278, data_time: 0.029, memory: 4506, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0358, loss_cls: 0.1819, acc: 93.4783, loss_bbox: 0.2250, loss_mask: 0.2256, loss: 0.6952 2023-11-14 15:53:14,913 - mmdet - INFO - Epoch [8][550/7330] lr: 1.000e-04, eta: 15:18:56, time: 0.289, data_time: 0.044, memory: 4506, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0392, loss_cls: 0.1830, acc: 93.5078, loss_bbox: 0.2297, loss_mask: 0.2249, loss: 0.7053 2023-11-14 15:53:27,919 - mmdet - INFO - Epoch [8][600/7330] lr: 1.000e-04, eta: 15:18:43, time: 0.260, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0345, loss_cls: 0.1773, acc: 93.6987, loss_bbox: 0.2188, loss_mask: 0.2261, loss: 0.6834 2023-11-14 15:53:41,054 - mmdet - INFO - Epoch [8][650/7330] lr: 1.000e-04, eta: 15:18:30, time: 0.263, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0367, loss_cls: 0.1798, acc: 93.5518, loss_bbox: 0.2267, loss_mask: 0.2243, loss: 0.6950 2023-11-14 15:53:54,078 - mmdet - INFO - Epoch [8][700/7330] lr: 1.000e-04, eta: 15:18:17, time: 0.260, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0351, loss_cls: 0.1852, acc: 93.3782, loss_bbox: 0.2273, loss_mask: 0.2275, loss: 0.7014 2023-11-14 15:54:06,866 - mmdet - INFO - Epoch [8][750/7330] lr: 1.000e-04, eta: 15:18:03, time: 0.256, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0356, loss_cls: 0.1836, acc: 93.4041, loss_bbox: 0.2294, loss_mask: 0.2277, loss: 0.7057 2023-11-14 15:54:19,572 - mmdet - INFO - Epoch [8][800/7330] lr: 1.000e-04, eta: 15:17:49, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0346, loss_cls: 0.1791, acc: 93.6152, loss_bbox: 0.2230, loss_mask: 0.2226, loss: 0.6850 2023-11-14 15:54:32,681 - mmdet - INFO - Epoch [8][850/7330] lr: 1.000e-04, eta: 15:17:37, time: 0.262, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0374, loss_cls: 0.1863, acc: 93.3643, loss_bbox: 0.2297, loss_mask: 0.2250, loss: 0.7073 2023-11-14 15:54:45,398 - mmdet - INFO - Epoch [8][900/7330] lr: 1.000e-04, eta: 15:17:22, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0356, loss_cls: 0.1831, acc: 93.5405, loss_bbox: 0.2254, loss_mask: 0.2291, loss: 0.7023 2023-11-14 15:55:03,479 - mmdet - INFO - Epoch [8][950/7330] lr: 1.000e-04, eta: 15:17:30, time: 0.362, data_time: 0.058, memory: 4506, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0360, loss_cls: 0.1824, acc: 93.4409, loss_bbox: 0.2305, loss_mask: 0.2253, loss: 0.7028 2023-11-14 15:55:23,118 - mmdet - INFO - Epoch [8][1000/7330] lr: 1.000e-04, eta: 15:17:44, time: 0.392, data_time: 0.035, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0361, loss_cls: 0.1755, acc: 93.7417, loss_bbox: 0.2178, loss_mask: 0.2216, loss: 0.6783 2023-11-14 15:55:36,059 - mmdet - INFO - Epoch [8][1050/7330] lr: 1.000e-04, eta: 15:17:30, time: 0.259, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0326, loss_cls: 0.1683, acc: 93.9980, loss_bbox: 0.2137, loss_mask: 0.2216, loss: 0.6616 2023-11-14 15:55:59,193 - mmdet - INFO - Epoch [8][1100/7330] lr: 1.000e-04, eta: 15:17:58, time: 0.463, data_time: 0.116, memory: 4506, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0367, loss_cls: 0.1786, acc: 93.4495, loss_bbox: 0.2276, loss_mask: 0.2225, loss: 0.6918 2023-11-14 15:56:21,106 - mmdet - INFO - Epoch [8][1150/7330] lr: 1.000e-04, eta: 15:18:21, time: 0.438, data_time: 0.035, memory: 4506, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0338, loss_cls: 0.1772, acc: 93.7769, loss_bbox: 0.2207, loss_mask: 0.2213, loss: 0.6788 2023-11-14 15:56:33,903 - mmdet - INFO - Epoch [8][1200/7330] lr: 1.000e-04, eta: 15:18:07, time: 0.256, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0350, loss_cls: 0.1858, acc: 93.4463, loss_bbox: 0.2239, loss_mask: 0.2288, loss: 0.7018 2023-11-14 15:56:46,781 - mmdet - INFO - Epoch [8][1250/7330] lr: 1.000e-04, eta: 15:17:53, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0370, loss_cls: 0.1833, acc: 93.5071, loss_bbox: 0.2212, loss_mask: 0.2257, loss: 0.6951 2023-11-14 15:56:59,706 - mmdet - INFO - Epoch [8][1300/7330] lr: 1.000e-04, eta: 15:17:40, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0349, loss_cls: 0.1859, acc: 93.3875, loss_bbox: 0.2280, loss_mask: 0.2260, loss: 0.7032 2023-11-14 15:57:12,580 - mmdet - INFO - Epoch [8][1350/7330] lr: 1.000e-04, eta: 15:17:26, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0311, loss_rpn_bbox: 0.0396, loss_cls: 0.1872, acc: 93.2449, loss_bbox: 0.2304, loss_mask: 0.2367, loss: 0.7250 2023-11-14 15:57:25,271 - mmdet - INFO - Epoch [8][1400/7330] lr: 1.000e-04, eta: 15:17:12, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0362, loss_cls: 0.1812, acc: 93.4412, loss_bbox: 0.2281, loss_mask: 0.2333, loss: 0.7079 2023-11-14 15:57:38,121 - mmdet - INFO - Epoch [8][1450/7330] lr: 1.000e-04, eta: 15:16:58, time: 0.257, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0366, loss_cls: 0.1818, acc: 93.4509, loss_bbox: 0.2286, loss_mask: 0.2253, loss: 0.7004 2023-11-14 15:57:51,175 - mmdet - INFO - Epoch [8][1500/7330] lr: 1.000e-04, eta: 15:16:45, time: 0.261, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0377, loss_cls: 0.1872, acc: 93.2976, loss_bbox: 0.2277, loss_mask: 0.2317, loss: 0.7116 2023-11-14 15:58:03,988 - mmdet - INFO - Epoch [8][1550/7330] lr: 1.000e-04, eta: 15:16:31, time: 0.256, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0361, loss_cls: 0.1824, acc: 93.4185, loss_bbox: 0.2281, loss_mask: 0.2239, loss: 0.7005 2023-11-14 15:58:16,712 - mmdet - INFO - Epoch [8][1600/7330] lr: 1.000e-04, eta: 15:16:17, time: 0.254, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0356, loss_cls: 0.1781, acc: 93.6907, loss_bbox: 0.2205, loss_mask: 0.2199, loss: 0.6809 2023-11-14 15:58:29,666 - mmdet - INFO - Epoch [8][1650/7330] lr: 1.000e-04, eta: 15:16:04, time: 0.259, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0362, loss_cls: 0.1876, acc: 93.2100, loss_bbox: 0.2301, loss_mask: 0.2304, loss: 0.7141 2023-11-14 15:58:42,382 - mmdet - INFO - Epoch [8][1700/7330] lr: 1.000e-04, eta: 15:15:49, time: 0.254, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0300, loss_rpn_bbox: 0.0378, loss_cls: 0.1944, acc: 92.9883, loss_bbox: 0.2371, loss_mask: 0.2322, loss: 0.7315 2023-11-14 15:58:55,002 - mmdet - INFO - Epoch [8][1750/7330] lr: 1.000e-04, eta: 15:15:35, time: 0.252, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0335, loss_cls: 0.1742, acc: 93.7991, loss_bbox: 0.2154, loss_mask: 0.2272, loss: 0.6784 2023-11-14 15:59:07,619 - mmdet - INFO - Epoch [8][1800/7330] lr: 1.000e-04, eta: 15:15:20, time: 0.252, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0325, loss_cls: 0.1744, acc: 93.7505, loss_bbox: 0.2182, loss_mask: 0.2246, loss: 0.6762 2023-11-14 15:59:20,492 - mmdet - INFO - Epoch [8][1850/7330] lr: 1.000e-04, eta: 15:15:06, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0363, loss_cls: 0.1752, acc: 93.6001, loss_bbox: 0.2257, loss_mask: 0.2219, loss: 0.6868 2023-11-14 15:59:33,371 - mmdet - INFO - Epoch [8][1900/7330] lr: 1.000e-04, eta: 15:14:53, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0354, loss_cls: 0.1787, acc: 93.5769, loss_bbox: 0.2235, loss_mask: 0.2249, loss: 0.6904 2023-11-14 15:59:45,889 - mmdet - INFO - Epoch [8][1950/7330] lr: 1.000e-04, eta: 15:14:38, time: 0.250, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0328, loss_cls: 0.1762, acc: 93.7612, loss_bbox: 0.2136, loss_mask: 0.2199, loss: 0.6676 2023-11-14 15:59:58,847 - mmdet - INFO - Epoch [8][2000/7330] lr: 1.000e-04, eta: 15:14:25, time: 0.259, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0329, loss_cls: 0.1738, acc: 93.8083, loss_bbox: 0.2127, loss_mask: 0.2210, loss: 0.6678 2023-11-14 16:00:11,746 - mmdet - INFO - Epoch [8][2050/7330] lr: 1.000e-04, eta: 15:14:11, time: 0.258, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0334, loss_cls: 0.1724, acc: 93.7744, loss_bbox: 0.2167, loss_mask: 0.2186, loss: 0.6663 2023-11-14 16:00:24,457 - mmdet - INFO - Epoch [8][2100/7330] lr: 1.000e-04, eta: 15:13:57, time: 0.254, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0345, loss_cls: 0.1832, acc: 93.6050, loss_bbox: 0.2220, loss_mask: 0.2217, loss: 0.6889 2023-11-14 16:00:37,526 - mmdet - INFO - Epoch [8][2150/7330] lr: 1.000e-04, eta: 15:13:44, time: 0.261, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0353, loss_cls: 0.1798, acc: 93.6067, loss_bbox: 0.2247, loss_mask: 0.2258, loss: 0.6910 2023-11-14 16:00:50,398 - mmdet - INFO - Epoch [8][2200/7330] lr: 1.000e-04, eta: 15:13:30, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0347, loss_cls: 0.1783, acc: 93.6240, loss_bbox: 0.2249, loss_mask: 0.2235, loss: 0.6875 2023-11-14 16:01:03,442 - mmdet - INFO - Epoch [8][2250/7330] lr: 1.000e-04, eta: 15:13:17, time: 0.261, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0399, loss_cls: 0.1973, acc: 92.9697, loss_bbox: 0.2440, loss_mask: 0.2336, loss: 0.7451 2023-11-14 16:01:16,148 - mmdet - INFO - Epoch [8][2300/7330] lr: 1.000e-04, eta: 15:13:03, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0353, loss_cls: 0.1784, acc: 93.6641, loss_bbox: 0.2210, loss_mask: 0.2213, loss: 0.6836 2023-11-14 16:01:28,941 - mmdet - INFO - Epoch [8][2350/7330] lr: 1.000e-04, eta: 15:12:49, time: 0.256, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0353, loss_cls: 0.1825, acc: 93.5410, loss_bbox: 0.2246, loss_mask: 0.2253, loss: 0.6975 2023-11-14 16:01:41,964 - mmdet - INFO - Epoch [8][2400/7330] lr: 1.000e-04, eta: 15:12:36, time: 0.260, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0385, loss_cls: 0.1897, acc: 93.2339, loss_bbox: 0.2357, loss_mask: 0.2328, loss: 0.7247 2023-11-14 16:01:54,778 - mmdet - INFO - Epoch [8][2450/7330] lr: 1.000e-04, eta: 15:12:22, time: 0.256, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0331, loss_cls: 0.1761, acc: 93.7219, loss_bbox: 0.2152, loss_mask: 0.2250, loss: 0.6756 2023-11-14 16:02:07,557 - mmdet - INFO - Epoch [8][2500/7330] lr: 1.000e-04, eta: 15:12:08, time: 0.256, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0335, loss_cls: 0.1713, acc: 93.8472, loss_bbox: 0.2134, loss_mask: 0.2248, loss: 0.6686 2023-11-14 16:02:20,267 - mmdet - INFO - Epoch [8][2550/7330] lr: 1.000e-04, eta: 15:11:54, time: 0.254, data_time: 0.019, memory: 4506, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0337, loss_cls: 0.1852, acc: 93.4419, loss_bbox: 0.2197, loss_mask: 0.2254, loss: 0.6910 2023-11-14 16:02:33,076 - mmdet - INFO - Epoch [8][2600/7330] lr: 1.000e-04, eta: 15:11:40, time: 0.256, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0368, loss_cls: 0.1841, acc: 93.4011, loss_bbox: 0.2263, loss_mask: 0.2324, loss: 0.7077 2023-11-14 16:02:45,783 - mmdet - INFO - Epoch [8][2650/7330] lr: 1.000e-04, eta: 15:11:26, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0368, loss_cls: 0.1852, acc: 93.4036, loss_bbox: 0.2294, loss_mask: 0.2317, loss: 0.7103 2023-11-14 16:02:58,707 - mmdet - INFO - Epoch [8][2700/7330] lr: 1.000e-04, eta: 15:11:12, time: 0.258, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0357, loss_cls: 0.1800, acc: 93.5923, loss_bbox: 0.2195, loss_mask: 0.2208, loss: 0.6837 2023-11-14 16:03:11,540 - mmdet - INFO - Epoch [8][2750/7330] lr: 1.000e-04, eta: 15:10:59, time: 0.257, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0369, loss_cls: 0.1792, acc: 93.5957, loss_bbox: 0.2175, loss_mask: 0.2272, loss: 0.6897 2023-11-14 16:03:24,252 - mmdet - INFO - Epoch [8][2800/7330] lr: 1.000e-04, eta: 15:10:44, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0353, loss_cls: 0.1731, acc: 93.9177, loss_bbox: 0.2184, loss_mask: 0.2285, loss: 0.6847 2023-11-14 16:03:37,074 - mmdet - INFO - Epoch [8][2850/7330] lr: 1.000e-04, eta: 15:10:30, time: 0.256, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0352, loss_cls: 0.1877, acc: 93.3586, loss_bbox: 0.2252, loss_mask: 0.2296, loss: 0.7066 2023-11-14 16:03:49,860 - mmdet - INFO - Epoch [8][2900/7330] lr: 1.000e-04, eta: 15:10:16, time: 0.256, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0339, loss_cls: 0.1845, acc: 93.3784, loss_bbox: 0.2239, loss_mask: 0.2290, loss: 0.6985 2023-11-14 16:04:02,585 - mmdet - INFO - Epoch [8][2950/7330] lr: 1.000e-04, eta: 15:10:02, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0348, loss_cls: 0.1821, acc: 93.5693, loss_bbox: 0.2185, loss_mask: 0.2237, loss: 0.6875 2023-11-14 16:04:15,438 - mmdet - INFO - Epoch [8][3000/7330] lr: 1.000e-04, eta: 15:09:49, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0329, loss_cls: 0.1781, acc: 93.8276, loss_bbox: 0.2168, loss_mask: 0.2246, loss: 0.6777 2023-11-14 16:04:28,155 - mmdet - INFO - Epoch [8][3050/7330] lr: 1.000e-04, eta: 15:09:34, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0329, loss_cls: 0.1798, acc: 93.5684, loss_bbox: 0.2174, loss_mask: 0.2228, loss: 0.6804 2023-11-14 16:04:40,823 - mmdet - INFO - Epoch [8][3100/7330] lr: 1.000e-04, eta: 15:09:20, time: 0.253, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0358, loss_cls: 0.1800, acc: 93.4944, loss_bbox: 0.2225, loss_mask: 0.2236, loss: 0.6884 2023-11-14 16:04:53,689 - mmdet - INFO - Epoch [8][3150/7330] lr: 1.000e-04, eta: 15:09:06, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0356, loss_cls: 0.1830, acc: 93.4395, loss_bbox: 0.2229, loss_mask: 0.2331, loss: 0.7016 2023-11-14 16:05:06,729 - mmdet - INFO - Epoch [8][3200/7330] lr: 1.000e-04, eta: 15:08:53, time: 0.261, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0332, loss_cls: 0.1807, acc: 93.5549, loss_bbox: 0.2187, loss_mask: 0.2282, loss: 0.6873 2023-11-14 16:05:19,647 - mmdet - INFO - Epoch [8][3250/7330] lr: 1.000e-04, eta: 15:08:40, time: 0.258, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0365, loss_cls: 0.1857, acc: 93.4575, loss_bbox: 0.2293, loss_mask: 0.2314, loss: 0.7112 2023-11-14 16:05:32,558 - mmdet - INFO - Epoch [8][3300/7330] lr: 1.000e-04, eta: 15:08:27, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0347, loss_cls: 0.1779, acc: 93.7039, loss_bbox: 0.2188, loss_mask: 0.2227, loss: 0.6814 2023-11-14 16:05:45,396 - mmdet - INFO - Epoch [8][3350/7330] lr: 1.000e-04, eta: 15:08:13, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0336, loss_cls: 0.1765, acc: 93.6765, loss_bbox: 0.2186, loss_mask: 0.2250, loss: 0.6798 2023-11-14 16:05:58,143 - mmdet - INFO - Epoch [8][3400/7330] lr: 1.000e-04, eta: 15:07:59, time: 0.255, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0355, loss_cls: 0.1749, acc: 93.7014, loss_bbox: 0.2180, loss_mask: 0.2245, loss: 0.6803 2023-11-14 16:06:10,870 - mmdet - INFO - Epoch [8][3450/7330] lr: 1.000e-04, eta: 15:07:45, time: 0.255, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0344, loss_cls: 0.1794, acc: 93.6123, loss_bbox: 0.2241, loss_mask: 0.2254, loss: 0.6877 2023-11-14 16:06:23,556 - mmdet - INFO - Epoch [8][3500/7330] lr: 1.000e-04, eta: 15:07:30, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0353, loss_cls: 0.1820, acc: 93.4468, loss_bbox: 0.2289, loss_mask: 0.2316, loss: 0.7060 2023-11-14 16:06:36,654 - mmdet - INFO - Epoch [8][3550/7330] lr: 1.000e-04, eta: 15:07:18, time: 0.262, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0343, loss_cls: 0.1807, acc: 93.5977, loss_bbox: 0.2194, loss_mask: 0.2250, loss: 0.6873 2023-11-14 16:06:49,348 - mmdet - INFO - Epoch [8][3600/7330] lr: 1.000e-04, eta: 15:07:03, time: 0.254, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0346, loss_cls: 0.1794, acc: 93.6211, loss_bbox: 0.2225, loss_mask: 0.2259, loss: 0.6891 2023-11-14 16:07:02,056 - mmdet - INFO - Epoch [8][3650/7330] lr: 1.000e-04, eta: 15:06:49, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0310, loss_rpn_bbox: 0.0352, loss_cls: 0.1765, acc: 93.6909, loss_bbox: 0.2177, loss_mask: 0.2226, loss: 0.6831 2023-11-14 16:07:15,521 - mmdet - INFO - Epoch [8][3700/7330] lr: 1.000e-04, eta: 15:06:38, time: 0.269, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0345, loss_cls: 0.1811, acc: 93.5684, loss_bbox: 0.2223, loss_mask: 0.2269, loss: 0.6921 2023-11-14 16:07:28,595 - mmdet - INFO - Epoch [8][3750/7330] lr: 1.000e-04, eta: 15:06:25, time: 0.261, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0369, loss_cls: 0.1902, acc: 93.3027, loss_bbox: 0.2332, loss_mask: 0.2306, loss: 0.7187 2023-11-14 16:07:41,460 - mmdet - INFO - Epoch [8][3800/7330] lr: 1.000e-04, eta: 15:06:11, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0359, loss_cls: 0.1877, acc: 93.2881, loss_bbox: 0.2293, loss_mask: 0.2281, loss: 0.7084 2023-11-14 16:07:54,339 - mmdet - INFO - Epoch [8][3850/7330] lr: 1.000e-04, eta: 15:05:58, time: 0.258, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0352, loss_cls: 0.1768, acc: 93.6597, loss_bbox: 0.2207, loss_mask: 0.2319, loss: 0.6906 2023-11-14 16:08:07,261 - mmdet - INFO - Epoch [8][3900/7330] lr: 1.000e-04, eta: 15:05:44, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0365, loss_cls: 0.1793, acc: 93.6948, loss_bbox: 0.2238, loss_mask: 0.2256, loss: 0.6933 2023-11-14 16:08:20,046 - mmdet - INFO - Epoch [8][3950/7330] lr: 1.000e-04, eta: 15:05:30, time: 0.256, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0314, loss_rpn_bbox: 0.0390, loss_cls: 0.1907, acc: 93.2339, loss_bbox: 0.2312, loss_mask: 0.2283, loss: 0.7207 2023-11-14 16:08:32,817 - mmdet - INFO - Epoch [8][4000/7330] lr: 1.000e-04, eta: 15:05:16, time: 0.255, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0351, loss_cls: 0.1825, acc: 93.4526, loss_bbox: 0.2257, loss_mask: 0.2248, loss: 0.6974 2023-11-14 16:08:45,480 - mmdet - INFO - Epoch [8][4050/7330] lr: 1.000e-04, eta: 15:05:02, time: 0.253, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0330, loss_cls: 0.1738, acc: 93.7917, loss_bbox: 0.2119, loss_mask: 0.2279, loss: 0.6740 2023-11-14 16:08:58,364 - mmdet - INFO - Epoch [8][4100/7330] lr: 1.000e-04, eta: 15:04:49, time: 0.258, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0368, loss_cls: 0.1880, acc: 93.2063, loss_bbox: 0.2327, loss_mask: 0.2260, loss: 0.7109 2023-11-14 16:09:10,956 - mmdet - INFO - Epoch [8][4150/7330] lr: 1.000e-04, eta: 15:04:34, time: 0.252, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0336, loss_cls: 0.1867, acc: 93.4512, loss_bbox: 0.2214, loss_mask: 0.2269, loss: 0.6968 2023-11-14 16:09:23,587 - mmdet - INFO - Epoch [8][4200/7330] lr: 1.000e-04, eta: 15:04:19, time: 0.253, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0375, loss_cls: 0.1854, acc: 93.4949, loss_bbox: 0.2255, loss_mask: 0.2249, loss: 0.7026 2023-11-14 16:09:36,051 - mmdet - INFO - Epoch [8][4250/7330] lr: 1.000e-04, eta: 15:04:04, time: 0.249, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0318, loss_cls: 0.1742, acc: 93.9990, loss_bbox: 0.2127, loss_mask: 0.2235, loss: 0.6674 2023-11-14 16:09:48,784 - mmdet - INFO - Epoch [8][4300/7330] lr: 1.000e-04, eta: 15:03:50, time: 0.255, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0368, loss_cls: 0.1873, acc: 93.2595, loss_bbox: 0.2333, loss_mask: 0.2290, loss: 0.7147 2023-11-14 16:10:01,571 - mmdet - INFO - Epoch [8][4350/7330] lr: 1.000e-04, eta: 15:03:36, time: 0.256, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0371, loss_cls: 0.1841, acc: 93.4634, loss_bbox: 0.2258, loss_mask: 0.2261, loss: 0.7020 2023-11-14 16:10:14,961 - mmdet - INFO - Epoch [8][4400/7330] lr: 1.000e-04, eta: 15:03:25, time: 0.268, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0380, loss_cls: 0.1815, acc: 93.4739, loss_bbox: 0.2266, loss_mask: 0.2294, loss: 0.7043 2023-11-14 16:10:27,636 - mmdet - INFO - Epoch [8][4450/7330] lr: 1.000e-04, eta: 15:03:10, time: 0.254, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0369, loss_cls: 0.1851, acc: 93.2981, loss_bbox: 0.2273, loss_mask: 0.2268, loss: 0.7050 2023-11-14 16:10:40,615 - mmdet - INFO - Epoch [8][4500/7330] lr: 1.000e-04, eta: 15:02:57, time: 0.260, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0361, loss_cls: 0.1811, acc: 93.4666, loss_bbox: 0.2281, loss_mask: 0.2302, loss: 0.7022 2023-11-14 16:10:53,572 - mmdet - INFO - Epoch [8][4550/7330] lr: 1.000e-04, eta: 15:02:44, time: 0.259, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0370, loss_cls: 0.1861, acc: 93.4670, loss_bbox: 0.2291, loss_mask: 0.2224, loss: 0.7040 2023-11-14 16:11:06,497 - mmdet - INFO - Epoch [8][4600/7330] lr: 1.000e-04, eta: 15:02:31, time: 0.258, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0317, loss_cls: 0.1695, acc: 93.9292, loss_bbox: 0.2133, loss_mask: 0.2194, loss: 0.6596 2023-11-14 16:11:19,364 - mmdet - INFO - Epoch [8][4650/7330] lr: 1.000e-04, eta: 15:02:17, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0354, loss_cls: 0.1891, acc: 93.2881, loss_bbox: 0.2317, loss_mask: 0.2351, loss: 0.7204 2023-11-14 16:11:31,953 - mmdet - INFO - Epoch [8][4700/7330] lr: 1.000e-04, eta: 15:02:02, time: 0.252, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0340, loss_cls: 0.1756, acc: 93.7290, loss_bbox: 0.2197, loss_mask: 0.2312, loss: 0.6895 2023-11-14 16:11:44,656 - mmdet - INFO - Epoch [8][4750/7330] lr: 1.000e-04, eta: 15:01:48, time: 0.254, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0348, loss_cls: 0.1708, acc: 93.8247, loss_bbox: 0.2165, loss_mask: 0.2276, loss: 0.6741 2023-11-14 16:11:57,484 - mmdet - INFO - Epoch [8][4800/7330] lr: 1.000e-04, eta: 15:01:34, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0338, loss_cls: 0.1831, acc: 93.4431, loss_bbox: 0.2258, loss_mask: 0.2211, loss: 0.6932 2023-11-14 16:12:10,169 - mmdet - INFO - Epoch [8][4850/7330] lr: 1.000e-04, eta: 15:01:20, time: 0.254, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0349, loss_cls: 0.1826, acc: 93.5554, loss_bbox: 0.2228, loss_mask: 0.2274, loss: 0.6940 2023-11-14 16:12:22,745 - mmdet - INFO - Epoch [8][4900/7330] lr: 1.000e-04, eta: 15:01:06, time: 0.252, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0339, loss_cls: 0.1893, acc: 93.4033, loss_bbox: 0.2212, loss_mask: 0.2265, loss: 0.7007 2023-11-14 16:12:35,413 - mmdet - INFO - Epoch [8][4950/7330] lr: 1.000e-04, eta: 15:00:51, time: 0.253, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0363, loss_cls: 0.1864, acc: 93.3879, loss_bbox: 0.2255, loss_mask: 0.2283, loss: 0.7053 2023-11-14 16:12:48,339 - mmdet - INFO - Epoch [8][5000/7330] lr: 1.000e-04, eta: 15:00:38, time: 0.259, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0367, loss_cls: 0.1869, acc: 93.3262, loss_bbox: 0.2289, loss_mask: 0.2353, loss: 0.7158 2023-11-14 16:13:00,894 - mmdet - INFO - Epoch [8][5050/7330] lr: 1.000e-04, eta: 15:00:23, time: 0.251, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0336, loss_cls: 0.1762, acc: 93.7432, loss_bbox: 0.2172, loss_mask: 0.2208, loss: 0.6718 2023-11-14 16:13:13,687 - mmdet - INFO - Epoch [8][5100/7330] lr: 1.000e-04, eta: 15:00:09, time: 0.256, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0320, loss_rpn_bbox: 0.0374, loss_cls: 0.1834, acc: 93.4526, loss_bbox: 0.2257, loss_mask: 0.2295, loss: 0.7080 2023-11-14 16:13:26,390 - mmdet - INFO - Epoch [8][5150/7330] lr: 1.000e-04, eta: 14:59:55, time: 0.254, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0346, loss_cls: 0.1841, acc: 93.3965, loss_bbox: 0.2256, loss_mask: 0.2299, loss: 0.7010 2023-11-14 16:13:39,502 - mmdet - INFO - Epoch [8][5200/7330] lr: 1.000e-04, eta: 14:59:42, time: 0.262, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0368, loss_cls: 0.1862, acc: 93.2224, loss_bbox: 0.2327, loss_mask: 0.2315, loss: 0.7162 2023-11-14 16:13:52,389 - mmdet - INFO - Epoch [8][5250/7330] lr: 1.000e-04, eta: 14:59:29, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0350, loss_cls: 0.1860, acc: 93.3667, loss_bbox: 0.2257, loss_mask: 0.2254, loss: 0.6996 2023-11-14 16:14:05,134 - mmdet - INFO - Epoch [8][5300/7330] lr: 1.000e-04, eta: 14:59:15, time: 0.255, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0350, loss_cls: 0.1820, acc: 93.5889, loss_bbox: 0.2259, loss_mask: 0.2298, loss: 0.6988 2023-11-14 16:14:17,986 - mmdet - INFO - Epoch [8][5350/7330] lr: 1.000e-04, eta: 14:59:01, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0364, loss_cls: 0.1841, acc: 93.3801, loss_bbox: 0.2256, loss_mask: 0.2241, loss: 0.6991 2023-11-14 16:14:30,912 - mmdet - INFO - Epoch [8][5400/7330] lr: 1.000e-04, eta: 14:58:48, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0363, loss_cls: 0.1813, acc: 93.5339, loss_bbox: 0.2221, loss_mask: 0.2276, loss: 0.6974 2023-11-14 16:14:43,474 - mmdet - INFO - Epoch [8][5450/7330] lr: 1.000e-04, eta: 14:58:33, time: 0.251, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0358, loss_cls: 0.1883, acc: 93.4543, loss_bbox: 0.2246, loss_mask: 0.2319, loss: 0.7096 2023-11-14 16:14:56,152 - mmdet - INFO - Epoch [8][5500/7330] lr: 1.000e-04, eta: 14:58:19, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0333, loss_cls: 0.1732, acc: 93.9087, loss_bbox: 0.2101, loss_mask: 0.2219, loss: 0.6650 2023-11-14 16:15:08,827 - mmdet - INFO - Epoch [8][5550/7330] lr: 1.000e-04, eta: 14:58:05, time: 0.253, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0353, loss_cls: 0.1757, acc: 93.7461, loss_bbox: 0.2193, loss_mask: 0.2256, loss: 0.6841 2023-11-14 16:15:24,468 - mmdet - INFO - Epoch [8][5600/7330] lr: 1.000e-04, eta: 14:58:01, time: 0.313, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0352, loss_cls: 0.1827, acc: 93.4753, loss_bbox: 0.2243, loss_mask: 0.2235, loss: 0.6924 2023-11-14 16:15:36,991 - mmdet - INFO - Epoch [8][5650/7330] lr: 1.000e-04, eta: 14:57:47, time: 0.250, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0321, loss_cls: 0.1711, acc: 93.9468, loss_bbox: 0.2131, loss_mask: 0.2224, loss: 0.6649 2023-11-14 16:15:49,648 - mmdet - INFO - Epoch [8][5700/7330] lr: 1.000e-04, eta: 14:57:32, time: 0.253, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0365, loss_cls: 0.1786, acc: 93.7688, loss_bbox: 0.2176, loss_mask: 0.2276, loss: 0.6877 2023-11-14 16:16:02,379 - mmdet - INFO - Epoch [8][5750/7330] lr: 1.000e-04, eta: 14:57:18, time: 0.255, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0351, loss_cls: 0.1849, acc: 93.5212, loss_bbox: 0.2201, loss_mask: 0.2276, loss: 0.6963 2023-11-14 16:16:15,071 - mmdet - INFO - Epoch [8][5800/7330] lr: 1.000e-04, eta: 14:57:04, time: 0.254, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0304, loss_rpn_bbox: 0.0357, loss_cls: 0.1770, acc: 93.5989, loss_bbox: 0.2228, loss_mask: 0.2284, loss: 0.6942 2023-11-14 16:16:27,707 - mmdet - INFO - Epoch [8][5850/7330] lr: 1.000e-04, eta: 14:56:50, time: 0.253, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0307, loss_rpn_bbox: 0.0384, loss_cls: 0.1973, acc: 92.9570, loss_bbox: 0.2369, loss_mask: 0.2295, loss: 0.7329 2023-11-14 16:16:40,564 - mmdet - INFO - Epoch [8][5900/7330] lr: 1.000e-04, eta: 14:56:36, time: 0.257, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0352, loss_cls: 0.1849, acc: 93.3794, loss_bbox: 0.2263, loss_mask: 0.2254, loss: 0.6995 2023-11-14 16:16:53,346 - mmdet - INFO - Epoch [8][5950/7330] lr: 1.000e-04, eta: 14:56:22, time: 0.256, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0371, loss_cls: 0.1865, acc: 93.3372, loss_bbox: 0.2292, loss_mask: 0.2257, loss: 0.7062 2023-11-14 16:17:05,905 - mmdet - INFO - Epoch [8][6000/7330] lr: 1.000e-04, eta: 14:56:08, time: 0.251, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0357, loss_cls: 0.1896, acc: 93.3860, loss_bbox: 0.2244, loss_mask: 0.2272, loss: 0.7047 2023-11-14 16:17:18,465 - mmdet - INFO - Epoch [8][6050/7330] lr: 1.000e-04, eta: 14:55:53, time: 0.251, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0349, loss_cls: 0.1829, acc: 93.6177, loss_bbox: 0.2249, loss_mask: 0.2199, loss: 0.6895 2023-11-14 16:17:31,136 - mmdet - INFO - Epoch [8][6100/7330] lr: 1.000e-04, eta: 14:55:39, time: 0.253, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0323, loss_cls: 0.1804, acc: 93.5901, loss_bbox: 0.2239, loss_mask: 0.2237, loss: 0.6852 2023-11-14 16:17:44,004 - mmdet - INFO - Epoch [8][6150/7330] lr: 1.000e-04, eta: 14:55:25, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0325, loss_rpn_bbox: 0.0386, loss_cls: 0.1995, acc: 92.7488, loss_bbox: 0.2491, loss_mask: 0.2379, loss: 0.7576 2023-11-14 16:17:56,618 - mmdet - INFO - Epoch [8][6200/7330] lr: 1.000e-04, eta: 14:55:11, time: 0.252, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0347, loss_cls: 0.1738, acc: 93.7273, loss_bbox: 0.2166, loss_mask: 0.2245, loss: 0.6770 2023-11-14 16:18:09,617 - mmdet - INFO - Epoch [8][6250/7330] lr: 1.000e-04, eta: 14:54:58, time: 0.260, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0348, loss_cls: 0.1812, acc: 93.4783, loss_bbox: 0.2293, loss_mask: 0.2258, loss: 0.6994 2023-11-14 16:18:22,263 - mmdet - INFO - Epoch [8][6300/7330] lr: 1.000e-04, eta: 14:54:43, time: 0.253, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0372, loss_cls: 0.1877, acc: 93.3447, loss_bbox: 0.2306, loss_mask: 0.2289, loss: 0.7127 2023-11-14 16:18:35,134 - mmdet - INFO - Epoch [8][6350/7330] lr: 1.000e-04, eta: 14:54:30, time: 0.257, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0362, loss_cls: 0.1846, acc: 93.4075, loss_bbox: 0.2226, loss_mask: 0.2246, loss: 0.6985 2023-11-14 16:18:48,004 - mmdet - INFO - Epoch [8][6400/7330] lr: 1.000e-04, eta: 14:54:16, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0338, loss_cls: 0.1776, acc: 93.7646, loss_bbox: 0.2190, loss_mask: 0.2276, loss: 0.6828 2023-11-14 16:19:00,919 - mmdet - INFO - Epoch [8][6450/7330] lr: 1.000e-04, eta: 14:54:03, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0363, loss_cls: 0.1814, acc: 93.5667, loss_bbox: 0.2234, loss_mask: 0.2265, loss: 0.6954 2023-11-14 16:19:13,632 - mmdet - INFO - Epoch [8][6500/7330] lr: 1.000e-04, eta: 14:53:49, time: 0.254, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0365, loss_cls: 0.1863, acc: 93.4204, loss_bbox: 0.2292, loss_mask: 0.2277, loss: 0.7076 2023-11-14 16:19:26,371 - mmdet - INFO - Epoch [8][6550/7330] lr: 1.000e-04, eta: 14:53:35, time: 0.255, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0327, loss_cls: 0.1791, acc: 93.5747, loss_bbox: 0.2195, loss_mask: 0.2224, loss: 0.6823 2023-11-14 16:19:39,173 - mmdet - INFO - Epoch [8][6600/7330] lr: 1.000e-04, eta: 14:53:21, time: 0.256, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0351, loss_cls: 0.1804, acc: 93.5317, loss_bbox: 0.2259, loss_mask: 0.2260, loss: 0.6957 2023-11-14 16:19:51,887 - mmdet - INFO - Epoch [8][6650/7330] lr: 1.000e-04, eta: 14:53:07, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0360, loss_cls: 0.1868, acc: 93.3611, loss_bbox: 0.2262, loss_mask: 0.2272, loss: 0.7033 2023-11-14 16:20:04,527 - mmdet - INFO - Epoch [8][6700/7330] lr: 1.000e-04, eta: 14:52:53, time: 0.253, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0339, loss_cls: 0.1867, acc: 93.5281, loss_bbox: 0.2219, loss_mask: 0.2310, loss: 0.7015 2023-11-14 16:20:17,426 - mmdet - INFO - Epoch [8][6750/7330] lr: 1.000e-04, eta: 14:52:39, time: 0.258, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0373, loss_cls: 0.1879, acc: 93.3257, loss_bbox: 0.2339, loss_mask: 0.2307, loss: 0.7181 2023-11-14 16:20:30,121 - mmdet - INFO - Epoch [8][6800/7330] lr: 1.000e-04, eta: 14:52:25, time: 0.254, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0342, loss_cls: 0.1816, acc: 93.6062, loss_bbox: 0.2233, loss_mask: 0.2250, loss: 0.6905 2023-11-14 16:20:42,875 - mmdet - INFO - Epoch [8][6850/7330] lr: 1.000e-04, eta: 14:52:11, time: 0.255, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0357, loss_cls: 0.1838, acc: 93.5300, loss_bbox: 0.2257, loss_mask: 0.2279, loss: 0.7019 2023-11-14 16:20:55,910 - mmdet - INFO - Epoch [8][6900/7330] lr: 1.000e-04, eta: 14:51:58, time: 0.261, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0363, loss_cls: 0.1783, acc: 93.6777, loss_bbox: 0.2158, loss_mask: 0.2254, loss: 0.6857 2023-11-14 16:21:08,814 - mmdet - INFO - Epoch [8][6950/7330] lr: 1.000e-04, eta: 14:51:45, time: 0.258, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0360, loss_cls: 0.1835, acc: 93.4380, loss_bbox: 0.2238, loss_mask: 0.2317, loss: 0.7044 2023-11-14 16:21:21,576 - mmdet - INFO - Epoch [8][7000/7330] lr: 1.000e-04, eta: 14:51:31, time: 0.255, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0365, loss_cls: 0.1843, acc: 93.4548, loss_bbox: 0.2229, loss_mask: 0.2284, loss: 0.7015 2023-11-14 16:21:34,236 - mmdet - INFO - Epoch [8][7050/7330] lr: 1.000e-04, eta: 14:51:17, time: 0.253, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0342, loss_cls: 0.1723, acc: 93.8462, loss_bbox: 0.2183, loss_mask: 0.2250, loss: 0.6765 2023-11-14 16:21:47,370 - mmdet - INFO - Epoch [8][7100/7330] lr: 1.000e-04, eta: 14:51:04, time: 0.263, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0361, loss_cls: 0.1930, acc: 93.0088, loss_bbox: 0.2422, loss_mask: 0.2291, loss: 0.7283 2023-11-14 16:22:00,078 - mmdet - INFO - Epoch [8][7150/7330] lr: 1.000e-04, eta: 14:50:50, time: 0.254, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0388, loss_cls: 0.1871, acc: 93.2061, loss_bbox: 0.2351, loss_mask: 0.2316, loss: 0.7202 2023-11-14 16:22:12,574 - mmdet - INFO - Epoch [8][7200/7330] lr: 1.000e-04, eta: 14:50:35, time: 0.250, data_time: 0.013, memory: 4506, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0340, loss_cls: 0.1853, acc: 93.4834, loss_bbox: 0.2243, loss_mask: 0.2278, loss: 0.6987 2023-11-14 16:22:25,264 - mmdet - INFO - Epoch [8][7250/7330] lr: 1.000e-04, eta: 14:50:21, time: 0.254, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0366, loss_cls: 0.1864, acc: 93.3010, loss_bbox: 0.2244, loss_mask: 0.2340, loss: 0.7103 2023-11-14 16:22:38,147 - mmdet - INFO - Epoch [8][7300/7330] lr: 1.000e-04, eta: 14:50:08, time: 0.258, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0373, loss_cls: 0.1853, acc: 93.4014, loss_bbox: 0.2271, loss_mask: 0.2266, loss: 0.7052 2023-11-14 16:22:46,338 - mmdet - INFO - Saving checkpoint at 8 epochs 2023-11-14 16:23:33,740 - mmdet - INFO - Evaluating bbox... 2023-11-14 16:24:06,754 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.451 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.678 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.502 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.293 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 ] = 0.580 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.581 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.581 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.581 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.417 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 ] = 0.718 2023-11-14 16:24:06,756 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.567 | bicycle | 0.363 | car | 0.458 | | motorcycle | 0.472 | airplane | 0.691 | bus | 0.683 | | train | 0.637 | truck | 0.411 | boat | 0.320 | | traffic light | 0.295 | fire hydrant | 0.673 | stop sign | 0.662 | | parking meter | 0.524 | bench | 0.282 | bird | 0.389 | | cat | 0.718 | dog | 0.673 | horse | 0.613 | | sheep | 0.553 | cow | 0.609 | elephant | 0.676 | | bear | 0.742 | zebra | 0.673 | giraffe | 0.674 | | backpack | 0.172 | umbrella | 0.424 | handbag | 0.192 | | tie | 0.353 | suitcase | 0.432 | frisbee | 0.658 | | skis | 0.260 | snowboard | 0.400 | sports ball | 0.452 | | kite | 0.461 | baseball bat | 0.386 | baseball glove | 0.410 | | skateboard | 0.551 | surfboard | 0.440 | tennis racket | 0.473 | | bottle | 0.434 | wine glass | 0.388 | cup | 0.472 | | fork | 0.390 | knife | 0.231 | spoon | 0.238 | | bowl | 0.433 | banana | 0.279 | apple | 0.252 | | sandwich | 0.346 | orange | 0.366 | broccoli | 0.249 | | carrot | 0.244 | hot dog | 0.416 | pizza | 0.524 | | donut | 0.532 | cake | 0.402 | chair | 0.331 | | couch | 0.462 | potted plant | 0.311 | bed | 0.462 | | dining table | 0.281 | toilet | 0.644 | tv | 0.595 | | laptop | 0.630 | mouse | 0.618 | remote | 0.384 | | keyboard | 0.518 | cell phone | 0.399 | microwave | 0.627 | | oven | 0.368 | toaster | 0.414 | sink | 0.424 | | refrigerator | 0.616 | book | 0.176 | clock | 0.505 | | vase | 0.391 | scissors | 0.329 | teddy bear | 0.490 | | hair drier | 0.183 | toothbrush | 0.294 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 16:24:06,756 - mmdet - INFO - Evaluating segm... 2023-11-14 16:24:45,334 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.410 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.644 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.438 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 ] = 0.449 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 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.353 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.690 2023-11-14 16:24:45,337 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.491 | bicycle | 0.216 | car | 0.420 | | motorcycle | 0.380 | airplane | 0.531 | bus | 0.671 | | train | 0.646 | truck | 0.400 | boat | 0.288 | | traffic light | 0.285 | fire hydrant | 0.679 | stop sign | 0.660 | | parking meter | 0.539 | bench | 0.205 | bird | 0.314 | | cat | 0.715 | dog | 0.631 | horse | 0.455 | | sheep | 0.506 | cow | 0.527 | elephant | 0.616 | | bear | 0.710 | zebra | 0.604 | giraffe | 0.525 | | backpack | 0.195 | umbrella | 0.491 | handbag | 0.184 | | tie | 0.321 | suitcase | 0.469 | frisbee | 0.643 | | skis | 0.035 | snowboard | 0.250 | sports ball | 0.438 | | kite | 0.320 | baseball bat | 0.277 | baseball glove | 0.433 | | skateboard | 0.330 | surfboard | 0.362 | tennis racket | 0.570 | | bottle | 0.415 | wine glass | 0.339 | cup | 0.476 | | fork | 0.191 | knife | 0.138 | spoon | 0.153 | | bowl | 0.420 | banana | 0.237 | apple | 0.245 | | sandwich | 0.393 | orange | 0.367 | broccoli | 0.240 | | carrot | 0.213 | hot dog | 0.352 | pizza | 0.520 | | donut | 0.537 | cake | 0.419 | chair | 0.235 | | couch | 0.410 | potted plant | 0.277 | bed | 0.373 | | dining table | 0.164 | toilet | 0.623 | tv | 0.636 | | laptop | 0.639 | mouse | 0.626 | remote | 0.350 | | keyboard | 0.521 | cell phone | 0.374 | microwave | 0.632 | | oven | 0.348 | toaster | 0.486 | sink | 0.415 | | refrigerator | 0.637 | book | 0.119 | clock | 0.509 | | vase | 0.396 | scissors | 0.261 | teddy bear | 0.488 | | hair drier | 0.113 | toothbrush | 0.175 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 16:24:45,856 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 16:24:45,857 - mmdet - INFO - Epoch(val) [8][625] bbox_mAP: 0.4509, bbox_mAP_50: 0.6782, bbox_mAP_75: 0.5015, bbox_mAP_s: 0.2929, bbox_mAP_m: 0.4975, bbox_mAP_l: 0.5795, bbox_mAP_copypaste: 0.4509 0.6782 0.5015 0.2929 0.4975 0.5795, segm_mAP: 0.4099, segm_mAP_50: 0.6443, segm_mAP_75: 0.4382, segm_mAP_s: 0.2152, segm_mAP_m: 0.4492, segm_mAP_l: 0.5925, segm_mAP_copypaste: 0.4099 0.6443 0.4382 0.2152 0.4492 0.5925 2023-11-14 16:25:02,631 - mmdet - INFO - Epoch [9][50/7330] lr: 1.000e-04, eta: 14:49:33, time: 0.335, data_time: 0.080, memory: 4506, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0361, loss_cls: 0.1785, acc: 93.6177, loss_bbox: 0.2237, loss_mask: 0.2236, loss: 0.6885 2023-11-14 16:25:15,918 - mmdet - INFO - Epoch [9][100/7330] lr: 1.000e-04, eta: 14:49:21, time: 0.266, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0343, loss_cls: 0.1726, acc: 93.7070, loss_bbox: 0.2214, loss_mask: 0.2273, loss: 0.6818 2023-11-14 16:25:29,239 - mmdet - INFO - Epoch [9][150/7330] lr: 1.000e-04, eta: 14:49:09, time: 0.266, data_time: 0.019, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0360, loss_cls: 0.1781, acc: 93.5833, loss_bbox: 0.2285, loss_mask: 0.2253, loss: 0.6959 2023-11-14 16:25:42,324 - mmdet - INFO - Epoch [9][200/7330] lr: 1.000e-04, eta: 14:48:56, time: 0.262, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0342, loss_cls: 0.1722, acc: 93.7886, loss_bbox: 0.2165, loss_mask: 0.2261, loss: 0.6757 2023-11-14 16:25:55,519 - mmdet - INFO - Epoch [9][250/7330] lr: 1.000e-04, eta: 14:48:44, time: 0.264, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0367, loss_cls: 0.1821, acc: 93.3293, loss_bbox: 0.2288, loss_mask: 0.2248, loss: 0.6983 2023-11-14 16:26:08,534 - mmdet - INFO - Epoch [9][300/7330] lr: 1.000e-04, eta: 14:48:31, time: 0.260, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0339, loss_cls: 0.1760, acc: 93.6597, loss_bbox: 0.2214, loss_mask: 0.2226, loss: 0.6814 2023-11-14 16:26:21,904 - mmdet - INFO - Epoch [9][350/7330] lr: 1.000e-04, eta: 14:48:19, time: 0.267, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0332, loss_cls: 0.1718, acc: 93.8008, loss_bbox: 0.2162, loss_mask: 0.2208, loss: 0.6689 2023-11-14 16:26:34,924 - mmdet - INFO - Epoch [9][400/7330] lr: 1.000e-04, eta: 14:48:06, time: 0.260, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0344, loss_cls: 0.1771, acc: 93.5669, loss_bbox: 0.2280, loss_mask: 0.2294, loss: 0.6951 2023-11-14 16:26:47,874 - mmdet - INFO - Epoch [9][450/7330] lr: 1.000e-04, eta: 14:47:53, time: 0.259, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0348, loss_cls: 0.1740, acc: 93.7908, loss_bbox: 0.2192, loss_mask: 0.2228, loss: 0.6794 2023-11-14 16:27:01,105 - mmdet - INFO - Epoch [9][500/7330] lr: 1.000e-04, eta: 14:47:40, time: 0.265, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0371, loss_cls: 0.1809, acc: 93.4895, loss_bbox: 0.2253, loss_mask: 0.2283, loss: 0.7012 2023-11-14 16:27:14,306 - mmdet - INFO - Epoch [9][550/7330] lr: 1.000e-04, eta: 14:47:28, time: 0.264, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0354, loss_cls: 0.1760, acc: 93.6238, loss_bbox: 0.2195, loss_mask: 0.2252, loss: 0.6822 2023-11-14 16:27:27,274 - mmdet - INFO - Epoch [9][600/7330] lr: 1.000e-04, eta: 14:47:15, time: 0.259, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0324, loss_cls: 0.1703, acc: 93.8979, loss_bbox: 0.2126, loss_mask: 0.2198, loss: 0.6600 2023-11-14 16:27:40,100 - mmdet - INFO - Epoch [9][650/7330] lr: 1.000e-04, eta: 14:47:01, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0313, loss_rpn_bbox: 0.0352, loss_cls: 0.1722, acc: 93.6589, loss_bbox: 0.2179, loss_mask: 0.2265, loss: 0.6830 2023-11-14 16:27:53,004 - mmdet - INFO - Epoch [9][700/7330] lr: 1.000e-04, eta: 14:46:48, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0341, loss_cls: 0.1733, acc: 93.8330, loss_bbox: 0.2164, loss_mask: 0.2215, loss: 0.6709 2023-11-14 16:28:05,862 - mmdet - INFO - Epoch [9][750/7330] lr: 1.000e-04, eta: 14:46:34, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0356, loss_cls: 0.1762, acc: 93.7874, loss_bbox: 0.2211, loss_mask: 0.2273, loss: 0.6899 2023-11-14 16:28:18,488 - mmdet - INFO - Epoch [9][800/7330] lr: 1.000e-04, eta: 14:46:20, time: 0.252, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0306, loss_cls: 0.1604, acc: 94.2671, loss_bbox: 0.1993, loss_mask: 0.2182, loss: 0.6329 2023-11-14 16:28:31,603 - mmdet - INFO - Epoch [9][850/7330] lr: 1.000e-04, eta: 14:46:08, time: 0.262, data_time: 0.019, memory: 4506, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0366, loss_cls: 0.1848, acc: 93.3672, loss_bbox: 0.2290, loss_mask: 0.2293, loss: 0.7084 2023-11-14 16:28:44,647 - mmdet - INFO - Epoch [9][900/7330] lr: 1.000e-04, eta: 14:45:55, time: 0.261, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0366, loss_cls: 0.1817, acc: 93.5161, loss_bbox: 0.2284, loss_mask: 0.2253, loss: 0.7022 2023-11-14 16:28:57,648 - mmdet - INFO - Epoch [9][950/7330] lr: 1.000e-04, eta: 14:45:42, time: 0.260, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0374, loss_cls: 0.1828, acc: 93.4585, loss_bbox: 0.2232, loss_mask: 0.2249, loss: 0.6954 2023-11-14 16:29:10,455 - mmdet - INFO - Epoch [9][1000/7330] lr: 1.000e-04, eta: 14:45:28, time: 0.256, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0354, loss_cls: 0.1767, acc: 93.6343, loss_bbox: 0.2224, loss_mask: 0.2310, loss: 0.6922 2023-11-14 16:29:23,082 - mmdet - INFO - Epoch [9][1050/7330] lr: 1.000e-04, eta: 14:45:14, time: 0.253, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0342, loss_cls: 0.1744, acc: 93.7190, loss_bbox: 0.2168, loss_mask: 0.2262, loss: 0.6777 2023-11-14 16:29:36,039 - mmdet - INFO - Epoch [9][1100/7330] lr: 1.000e-04, eta: 14:45:00, time: 0.259, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0329, loss_cls: 0.1709, acc: 93.8877, loss_bbox: 0.2119, loss_mask: 0.2215, loss: 0.6645 2023-11-14 16:29:48,852 - mmdet - INFO - Epoch [9][1150/7330] lr: 1.000e-04, eta: 14:44:47, time: 0.256, data_time: 0.018, memory: 4506, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0342, loss_cls: 0.1805, acc: 93.5750, loss_bbox: 0.2231, loss_mask: 0.2216, loss: 0.6887 2023-11-14 16:30:01,787 - mmdet - INFO - Epoch [9][1200/7330] lr: 1.000e-04, eta: 14:44:34, time: 0.259, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0366, loss_cls: 0.1839, acc: 93.4070, loss_bbox: 0.2304, loss_mask: 0.2294, loss: 0.7070 2023-11-14 16:30:14,933 - mmdet - INFO - Epoch [9][1250/7330] lr: 1.000e-04, eta: 14:44:21, time: 0.263, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0363, loss_cls: 0.1796, acc: 93.4695, loss_bbox: 0.2244, loss_mask: 0.2207, loss: 0.6882 2023-11-14 16:30:27,940 - mmdet - INFO - Epoch [9][1300/7330] lr: 1.000e-04, eta: 14:44:08, time: 0.260, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0339, loss_cls: 0.1720, acc: 93.6494, loss_bbox: 0.2241, loss_mask: 0.2269, loss: 0.6816 2023-11-14 16:30:40,793 - mmdet - INFO - Epoch [9][1350/7330] lr: 1.000e-04, eta: 14:43:54, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0328, loss_cls: 0.1738, acc: 93.7605, loss_bbox: 0.2179, loss_mask: 0.2242, loss: 0.6751 2023-11-14 16:30:53,664 - mmdet - INFO - Epoch [9][1400/7330] lr: 1.000e-04, eta: 14:43:41, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0346, loss_cls: 0.1735, acc: 93.7610, loss_bbox: 0.2206, loss_mask: 0.2208, loss: 0.6749 2023-11-14 16:31:06,733 - mmdet - INFO - Epoch [9][1450/7330] lr: 1.000e-04, eta: 14:43:28, time: 0.262, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0330, loss_cls: 0.1713, acc: 93.8167, loss_bbox: 0.2143, loss_mask: 0.2158, loss: 0.6601 2023-11-14 16:31:19,654 - mmdet - INFO - Epoch [9][1500/7330] lr: 1.000e-04, eta: 14:43:15, time: 0.258, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0337, loss_cls: 0.1762, acc: 93.7341, loss_bbox: 0.2176, loss_mask: 0.2195, loss: 0.6739 2023-11-14 16:31:32,475 - mmdet - INFO - Epoch [9][1550/7330] lr: 1.000e-04, eta: 14:43:01, time: 0.256, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0354, loss_cls: 0.1726, acc: 93.7114, loss_bbox: 0.2236, loss_mask: 0.2244, loss: 0.6817 2023-11-14 16:31:45,427 - mmdet - INFO - Epoch [9][1600/7330] lr: 1.000e-04, eta: 14:42:48, time: 0.259, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0329, loss_cls: 0.1762, acc: 93.7222, loss_bbox: 0.2193, loss_mask: 0.2242, loss: 0.6777 2023-11-14 16:31:58,136 - mmdet - INFO - Epoch [9][1650/7330] lr: 1.000e-04, eta: 14:42:34, time: 0.254, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0332, loss_cls: 0.1798, acc: 93.5876, loss_bbox: 0.2204, loss_mask: 0.2248, loss: 0.6838 2023-11-14 16:32:10,976 - mmdet - INFO - Epoch [9][1700/7330] lr: 1.000e-04, eta: 14:42:21, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0358, loss_cls: 0.1815, acc: 93.5195, loss_bbox: 0.2243, loss_mask: 0.2259, loss: 0.6955 2023-11-14 16:32:23,931 - mmdet - INFO - Epoch [9][1750/7330] lr: 1.000e-04, eta: 14:42:07, time: 0.259, data_time: 0.019, memory: 4506, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0360, loss_cls: 0.1814, acc: 93.3054, loss_bbox: 0.2306, loss_mask: 0.2240, loss: 0.6989 2023-11-14 16:32:36,909 - mmdet - INFO - Epoch [9][1800/7330] lr: 1.000e-04, eta: 14:41:54, time: 0.260, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0345, loss_cls: 0.1667, acc: 94.0063, loss_bbox: 0.2087, loss_mask: 0.2169, loss: 0.6539 2023-11-14 16:32:49,952 - mmdet - INFO - Epoch [9][1850/7330] lr: 1.000e-04, eta: 14:41:41, time: 0.261, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0350, loss_cls: 0.1762, acc: 93.7058, loss_bbox: 0.2195, loss_mask: 0.2257, loss: 0.6828 2023-11-14 16:33:02,798 - mmdet - INFO - Epoch [9][1900/7330] lr: 1.000e-04, eta: 14:41:28, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0363, loss_cls: 0.1742, acc: 93.6577, loss_bbox: 0.2184, loss_mask: 0.2251, loss: 0.6819 2023-11-14 16:33:15,742 - mmdet - INFO - Epoch [9][1950/7330] lr: 1.000e-04, eta: 14:41:15, time: 0.259, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0352, loss_cls: 0.1742, acc: 93.5908, loss_bbox: 0.2229, loss_mask: 0.2226, loss: 0.6809 2023-11-14 16:33:28,650 - mmdet - INFO - Epoch [9][2000/7330] lr: 1.000e-04, eta: 14:41:01, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0350, loss_cls: 0.1841, acc: 93.3560, loss_bbox: 0.2261, loss_mask: 0.2299, loss: 0.7037 2023-11-14 16:33:41,723 - mmdet - INFO - Epoch [9][2050/7330] lr: 1.000e-04, eta: 14:40:49, time: 0.261, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0328, loss_cls: 0.1704, acc: 93.9014, loss_bbox: 0.2147, loss_mask: 0.2288, loss: 0.6718 2023-11-14 16:33:54,681 - mmdet - INFO - Epoch [9][2100/7330] lr: 1.000e-04, eta: 14:40:35, time: 0.259, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0378, loss_cls: 0.1835, acc: 93.4006, loss_bbox: 0.2265, loss_mask: 0.2296, loss: 0.7063 2023-11-14 16:34:07,547 - mmdet - INFO - Epoch [9][2150/7330] lr: 1.000e-04, eta: 14:40:22, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0355, loss_cls: 0.1770, acc: 93.6831, loss_bbox: 0.2170, loss_mask: 0.2274, loss: 0.6821 2023-11-14 16:34:20,521 - mmdet - INFO - Epoch [9][2200/7330] lr: 1.000e-04, eta: 14:40:09, time: 0.259, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0355, loss_cls: 0.1789, acc: 93.5090, loss_bbox: 0.2216, loss_mask: 0.2209, loss: 0.6826 2023-11-14 16:34:33,561 - mmdet - INFO - Epoch [9][2250/7330] lr: 1.000e-04, eta: 14:39:56, time: 0.261, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0372, loss_cls: 0.1877, acc: 93.3872, loss_bbox: 0.2287, loss_mask: 0.2259, loss: 0.7066 2023-11-14 16:34:46,538 - mmdet - INFO - Epoch [9][2300/7330] lr: 1.000e-04, eta: 14:39:43, time: 0.260, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0353, loss_cls: 0.1820, acc: 93.4553, loss_bbox: 0.2268, loss_mask: 0.2235, loss: 0.6927 2023-11-14 16:34:59,287 - mmdet - INFO - Epoch [9][2350/7330] lr: 1.000e-04, eta: 14:39:29, time: 0.255, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0330, loss_cls: 0.1744, acc: 93.7866, loss_bbox: 0.2135, loss_mask: 0.2253, loss: 0.6740 2023-11-14 16:35:12,173 - mmdet - INFO - Epoch [9][2400/7330] lr: 1.000e-04, eta: 14:39:16, time: 0.258, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0354, loss_cls: 0.1774, acc: 93.6328, loss_bbox: 0.2216, loss_mask: 0.2232, loss: 0.6851 2023-11-14 16:35:24,869 - mmdet - INFO - Epoch [9][2450/7330] lr: 1.000e-04, eta: 14:39:01, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0366, loss_cls: 0.1787, acc: 93.6738, loss_bbox: 0.2205, loss_mask: 0.2261, loss: 0.6889 2023-11-14 16:35:37,666 - mmdet - INFO - Epoch [9][2500/7330] lr: 1.000e-04, eta: 14:38:48, time: 0.256, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0302, loss_rpn_bbox: 0.0363, loss_cls: 0.1871, acc: 93.3225, loss_bbox: 0.2304, loss_mask: 0.2258, loss: 0.7096 2023-11-14 16:35:50,536 - mmdet - INFO - Epoch [9][2550/7330] lr: 1.000e-04, eta: 14:38:34, time: 0.257, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0363, loss_cls: 0.1828, acc: 93.4265, loss_bbox: 0.2284, loss_mask: 0.2236, loss: 0.7001 2023-11-14 16:36:03,327 - mmdet - INFO - Epoch [9][2600/7330] lr: 1.000e-04, eta: 14:38:21, time: 0.256, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0307, loss_cls: 0.1666, acc: 94.0161, loss_bbox: 0.2068, loss_mask: 0.2166, loss: 0.6446 2023-11-14 16:36:16,334 - mmdet - INFO - Epoch [9][2650/7330] lr: 1.000e-04, eta: 14:38:08, time: 0.260, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0332, loss_cls: 0.1714, acc: 93.8501, loss_bbox: 0.2156, loss_mask: 0.2209, loss: 0.6662 2023-11-14 16:36:29,396 - mmdet - INFO - Epoch [9][2700/7330] lr: 1.000e-04, eta: 14:37:55, time: 0.261, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0355, loss_cls: 0.1878, acc: 93.2830, loss_bbox: 0.2288, loss_mask: 0.2301, loss: 0.7102 2023-11-14 16:36:42,579 - mmdet - INFO - Epoch [9][2750/7330] lr: 1.000e-04, eta: 14:37:42, time: 0.264, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0353, loss_cls: 0.1814, acc: 93.5212, loss_bbox: 0.2238, loss_mask: 0.2251, loss: 0.6952 2023-11-14 16:36:55,434 - mmdet - INFO - Epoch [9][2800/7330] lr: 1.000e-04, eta: 14:37:29, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0349, loss_cls: 0.1804, acc: 93.4851, loss_bbox: 0.2253, loss_mask: 0.2220, loss: 0.6896 2023-11-14 16:37:08,155 - mmdet - INFO - Epoch [9][2850/7330] lr: 1.000e-04, eta: 14:37:15, time: 0.254, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0329, loss_cls: 0.1737, acc: 93.7551, loss_bbox: 0.2178, loss_mask: 0.2207, loss: 0.6695 2023-11-14 16:37:20,727 - mmdet - INFO - Epoch [9][2900/7330] lr: 1.000e-04, eta: 14:37:01, time: 0.251, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0354, loss_cls: 0.1802, acc: 93.4243, loss_bbox: 0.2275, loss_mask: 0.2231, loss: 0.6955 2023-11-14 16:37:33,452 - mmdet - INFO - Epoch [9][2950/7330] lr: 1.000e-04, eta: 14:36:47, time: 0.255, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0383, loss_cls: 0.1863, acc: 93.2964, loss_bbox: 0.2321, loss_mask: 0.2225, loss: 0.7075 2023-11-14 16:37:46,173 - mmdet - INFO - Epoch [9][3000/7330] lr: 1.000e-04, eta: 14:36:33, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0369, loss_cls: 0.1768, acc: 93.7410, loss_bbox: 0.2220, loss_mask: 0.2252, loss: 0.6902 2023-11-14 16:37:59,048 - mmdet - INFO - Epoch [9][3050/7330] lr: 1.000e-04, eta: 14:36:19, time: 0.258, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0328, loss_cls: 0.1714, acc: 93.9634, loss_bbox: 0.2112, loss_mask: 0.2182, loss: 0.6571 2023-11-14 16:38:11,757 - mmdet - INFO - Epoch [9][3100/7330] lr: 1.000e-04, eta: 14:36:05, time: 0.254, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0330, loss_cls: 0.1746, acc: 93.7078, loss_bbox: 0.2169, loss_mask: 0.2156, loss: 0.6650 2023-11-14 16:38:25,063 - mmdet - INFO - Epoch [9][3150/7330] lr: 1.000e-04, eta: 14:35:53, time: 0.266, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0379, loss_cls: 0.1840, acc: 93.4514, loss_bbox: 0.2283, loss_mask: 0.2295, loss: 0.7076 2023-11-14 16:38:37,901 - mmdet - INFO - Epoch [9][3200/7330] lr: 1.000e-04, eta: 14:35:40, time: 0.257, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0351, loss_cls: 0.1717, acc: 93.8689, loss_bbox: 0.2192, loss_mask: 0.2210, loss: 0.6731 2023-11-14 16:38:50,480 - mmdet - INFO - Epoch [9][3250/7330] lr: 1.000e-04, eta: 14:35:25, time: 0.252, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0331, loss_cls: 0.1693, acc: 93.9253, loss_bbox: 0.2128, loss_mask: 0.2242, loss: 0.6645 2023-11-14 16:39:03,422 - mmdet - INFO - Epoch [9][3300/7330] lr: 1.000e-04, eta: 14:35:12, time: 0.259, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0362, loss_cls: 0.1844, acc: 93.2920, loss_bbox: 0.2327, loss_mask: 0.2255, loss: 0.7068 2023-11-14 16:39:16,175 - mmdet - INFO - Epoch [9][3350/7330] lr: 1.000e-04, eta: 14:34:58, time: 0.255, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0336, loss_cls: 0.1785, acc: 93.7866, loss_bbox: 0.2171, loss_mask: 0.2174, loss: 0.6734 2023-11-14 16:39:28,632 - mmdet - INFO - Epoch [9][3400/7330] lr: 1.000e-04, eta: 14:34:44, time: 0.249, data_time: 0.015, memory: 4506, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0330, loss_cls: 0.1763, acc: 93.7312, loss_bbox: 0.2151, loss_mask: 0.2265, loss: 0.6744 2023-11-14 16:39:41,923 - mmdet - INFO - Epoch [9][3450/7330] lr: 1.000e-04, eta: 14:34:32, time: 0.266, data_time: 0.014, memory: 4506, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0358, loss_cls: 0.1812, acc: 93.5757, loss_bbox: 0.2238, loss_mask: 0.2281, loss: 0.6970 2023-11-14 16:39:54,821 - mmdet - INFO - Epoch [9][3500/7330] lr: 1.000e-04, eta: 14:34:18, time: 0.258, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0357, loss_cls: 0.1758, acc: 93.6042, loss_bbox: 0.2211, loss_mask: 0.2285, loss: 0.6870 2023-11-14 16:40:07,940 - mmdet - INFO - Epoch [9][3550/7330] lr: 1.000e-04, eta: 14:34:06, time: 0.262, data_time: 0.016, memory: 4506, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0319, loss_cls: 0.1662, acc: 94.0698, loss_bbox: 0.2084, loss_mask: 0.2244, loss: 0.6563 2023-11-14 16:40:20,670 - mmdet - INFO - Epoch [9][3600/7330] lr: 1.000e-04, eta: 14:33:52, time: 0.255, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0346, loss_cls: 0.1750, acc: 93.7520, loss_bbox: 0.2198, loss_mask: 0.2215, loss: 0.6783 2023-11-14 16:40:33,207 - mmdet - INFO - Epoch [9][3650/7330] lr: 1.000e-04, eta: 14:33:37, time: 0.251, data_time: 0.017, memory: 4506, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0337, loss_cls: 0.1812, acc: 93.5544, loss_bbox: 0.2224, loss_mask: 0.2244, loss: 0.6889 2023-11-14 16:40:46,546 - mmdet - INFO - Epoch [9][3700/7330] lr: 1.000e-04, eta: 14:33:25, time: 0.267, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0362, loss_cls: 0.1785, acc: 93.5063, loss_bbox: 0.2251, loss_mask: 0.2242, loss: 0.6913 2023-11-14 16:40:59,576 - mmdet - INFO - Epoch [9][3750/7330] lr: 1.000e-04, eta: 14:33:12, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0355, loss_cls: 0.1774, acc: 93.6160, loss_bbox: 0.2198, loss_mask: 0.2234, loss: 0.6834 2023-11-14 16:41:12,812 - mmdet - INFO - Epoch [9][3800/7330] lr: 1.000e-04, eta: 14:33:00, time: 0.265, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0361, loss_cls: 0.1881, acc: 93.2805, loss_bbox: 0.2361, loss_mask: 0.2355, loss: 0.7223 2023-11-14 16:41:25,549 - mmdet - INFO - Epoch [9][3850/7330] lr: 1.000e-04, eta: 14:32:46, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0320, loss_cls: 0.1780, acc: 93.7048, loss_bbox: 0.2178, loss_mask: 0.2234, loss: 0.6767 2023-11-14 16:41:38,202 - mmdet - INFO - Epoch [9][3900/7330] lr: 1.000e-04, eta: 14:32:32, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0354, loss_cls: 0.1817, acc: 93.4888, loss_bbox: 0.2216, loss_mask: 0.2238, loss: 0.6917 2023-11-14 16:41:50,926 - mmdet - INFO - Epoch [9][3950/7330] lr: 1.000e-04, eta: 14:32:18, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0345, loss_cls: 0.1763, acc: 93.6338, loss_bbox: 0.2216, loss_mask: 0.2310, loss: 0.6901 2023-11-14 16:42:03,676 - mmdet - INFO - Epoch [9][4000/7330] lr: 1.000e-04, eta: 14:32:04, time: 0.255, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0324, loss_cls: 0.1718, acc: 93.9294, loss_bbox: 0.2096, loss_mask: 0.2174, loss: 0.6547 2023-11-14 16:42:16,438 - mmdet - INFO - Epoch [9][4050/7330] lr: 1.000e-04, eta: 14:31:51, time: 0.255, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0353, loss_cls: 0.1761, acc: 93.6401, loss_bbox: 0.2194, loss_mask: 0.2305, loss: 0.6883 2023-11-14 16:42:29,058 - mmdet - INFO - Epoch [9][4100/7330] lr: 1.000e-04, eta: 14:31:36, time: 0.252, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0351, loss_cls: 0.1799, acc: 93.5586, loss_bbox: 0.2210, loss_mask: 0.2271, loss: 0.6923 2023-11-14 16:42:41,945 - mmdet - INFO - Epoch [9][4150/7330] lr: 1.000e-04, eta: 14:31:23, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0355, loss_cls: 0.1731, acc: 93.8508, loss_bbox: 0.2168, loss_mask: 0.2208, loss: 0.6713 2023-11-14 16:42:54,559 - mmdet - INFO - Epoch [9][4200/7330] lr: 1.000e-04, eta: 14:31:09, time: 0.252, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0349, loss_cls: 0.1757, acc: 93.7473, loss_bbox: 0.2177, loss_mask: 0.2284, loss: 0.6863 2023-11-14 16:43:07,272 - mmdet - INFO - Epoch [9][4250/7330] lr: 1.000e-04, eta: 14:30:55, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0359, loss_cls: 0.1817, acc: 93.5420, loss_bbox: 0.2234, loss_mask: 0.2237, loss: 0.6930 2023-11-14 16:43:20,114 - mmdet - INFO - Epoch [9][4300/7330] lr: 1.000e-04, eta: 14:30:41, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0356, loss_cls: 0.1814, acc: 93.5222, loss_bbox: 0.2190, loss_mask: 0.2225, loss: 0.6859 2023-11-14 16:43:33,064 - mmdet - INFO - Epoch [9][4350/7330] lr: 1.000e-04, eta: 14:30:28, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0365, loss_cls: 0.1835, acc: 93.3992, loss_bbox: 0.2288, loss_mask: 0.2325, loss: 0.7098 2023-11-14 16:43:45,829 - mmdet - INFO - Epoch [9][4400/7330] lr: 1.000e-04, eta: 14:30:15, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0336, loss_cls: 0.1782, acc: 93.6440, loss_bbox: 0.2191, loss_mask: 0.2269, loss: 0.6845 2023-11-14 16:43:58,791 - mmdet - INFO - Epoch [9][4450/7330] lr: 1.000e-04, eta: 14:30:01, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0358, loss_cls: 0.1836, acc: 93.5371, loss_bbox: 0.2237, loss_mask: 0.2255, loss: 0.6952 2023-11-14 16:44:11,807 - mmdet - INFO - Epoch [9][4500/7330] lr: 1.000e-04, eta: 14:29:48, time: 0.260, data_time: 0.019, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0324, loss_cls: 0.1779, acc: 93.7693, loss_bbox: 0.2188, loss_mask: 0.2224, loss: 0.6775 2023-11-14 16:44:24,823 - mmdet - INFO - Epoch [9][4550/7330] lr: 1.000e-04, eta: 14:29:36, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0346, loss_cls: 0.1808, acc: 93.5430, loss_bbox: 0.2190, loss_mask: 0.2272, loss: 0.6882 2023-11-14 16:44:37,901 - mmdet - INFO - Epoch [9][4600/7330] lr: 1.000e-04, eta: 14:29:23, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0354, loss_cls: 0.1795, acc: 93.6729, loss_bbox: 0.2188, loss_mask: 0.2262, loss: 0.6882 2023-11-14 16:44:50,706 - mmdet - INFO - Epoch [9][4650/7330] lr: 1.000e-04, eta: 14:29:09, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0348, loss_cls: 0.1795, acc: 93.6357, loss_bbox: 0.2231, loss_mask: 0.2242, loss: 0.6899 2023-11-14 16:45:03,750 - mmdet - INFO - Epoch [9][4700/7330] lr: 1.000e-04, eta: 14:28:56, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0361, loss_cls: 0.1800, acc: 93.4973, loss_bbox: 0.2238, loss_mask: 0.2220, loss: 0.6886 2023-11-14 16:45:16,697 - mmdet - INFO - Epoch [9][4750/7330] lr: 1.000e-04, eta: 14:28:43, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0322, loss_cls: 0.1742, acc: 93.8799, loss_bbox: 0.2105, loss_mask: 0.2186, loss: 0.6605 2023-11-14 16:45:29,742 - mmdet - INFO - Epoch [9][4800/7330] lr: 1.000e-04, eta: 14:28:30, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0312, loss_rpn_bbox: 0.0373, loss_cls: 0.1937, acc: 93.0449, loss_bbox: 0.2359, loss_mask: 0.2273, loss: 0.7254 2023-11-14 16:45:42,541 - mmdet - INFO - Epoch [9][4850/7330] lr: 1.000e-04, eta: 14:28:17, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0353, loss_cls: 0.1764, acc: 93.6406, loss_bbox: 0.2243, loss_mask: 0.2283, loss: 0.6925 2023-11-14 16:45:55,091 - mmdet - INFO - Epoch [9][4900/7330] lr: 1.000e-04, eta: 14:28:02, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0304, loss_cls: 0.1712, acc: 93.8933, loss_bbox: 0.2091, loss_mask: 0.2199, loss: 0.6537 2023-11-14 16:46:07,810 - mmdet - INFO - Epoch [9][4950/7330] lr: 1.000e-04, eta: 14:27:48, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0346, loss_cls: 0.1768, acc: 93.5898, loss_bbox: 0.2188, loss_mask: 0.2295, loss: 0.6861 2023-11-14 16:46:20,730 - mmdet - INFO - Epoch [9][5000/7330] lr: 1.000e-04, eta: 14:27:35, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0322, loss_cls: 0.1789, acc: 93.6353, loss_bbox: 0.2182, loss_mask: 0.2268, loss: 0.6810 2023-11-14 16:46:33,415 - mmdet - INFO - Epoch [9][5050/7330] lr: 1.000e-04, eta: 14:27:21, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0345, loss_cls: 0.1782, acc: 93.6555, loss_bbox: 0.2211, loss_mask: 0.2277, loss: 0.6894 2023-11-14 16:46:46,109 - mmdet - INFO - Epoch [9][5100/7330] lr: 1.000e-04, eta: 14:27:07, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0334, loss_cls: 0.1753, acc: 93.7561, loss_bbox: 0.2152, loss_mask: 0.2287, loss: 0.6799 2023-11-14 16:46:58,839 - mmdet - INFO - Epoch [9][5150/7330] lr: 1.000e-04, eta: 14:26:53, time: 0.255, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0351, loss_cls: 0.1863, acc: 93.2751, loss_bbox: 0.2325, loss_mask: 0.2226, loss: 0.7014 2023-11-14 16:47:11,810 - mmdet - INFO - Epoch [9][5200/7330] lr: 1.000e-04, eta: 14:26:40, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0354, loss_cls: 0.1756, acc: 93.6531, loss_bbox: 0.2156, loss_mask: 0.2199, loss: 0.6747 2023-11-14 16:47:24,580 - mmdet - INFO - Epoch [9][5250/7330] lr: 1.000e-04, eta: 14:26:27, time: 0.255, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0373, loss_cls: 0.1859, acc: 93.3877, loss_bbox: 0.2290, loss_mask: 0.2268, loss: 0.7073 2023-11-14 16:47:37,551 - mmdet - INFO - Epoch [9][5300/7330] lr: 1.000e-04, eta: 14:26:13, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0340, loss_cls: 0.1812, acc: 93.5232, loss_bbox: 0.2248, loss_mask: 0.2209, loss: 0.6878 2023-11-14 16:47:50,292 - mmdet - INFO - Epoch [9][5350/7330] lr: 1.000e-04, eta: 14:26:00, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0348, loss_cls: 0.1856, acc: 93.3154, loss_bbox: 0.2293, loss_mask: 0.2273, loss: 0.7042 2023-11-14 16:48:03,055 - mmdet - INFO - Epoch [9][5400/7330] lr: 1.000e-04, eta: 14:25:46, time: 0.255, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0354, loss_cls: 0.1917, acc: 93.2844, loss_bbox: 0.2267, loss_mask: 0.2263, loss: 0.7083 2023-11-14 16:48:15,574 - mmdet - INFO - Epoch [9][5450/7330] lr: 1.000e-04, eta: 14:25:31, time: 0.250, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0332, loss_cls: 0.1756, acc: 93.6191, loss_bbox: 0.2183, loss_mask: 0.2158, loss: 0.6674 2023-11-14 16:48:28,343 - mmdet - INFO - Epoch [9][5500/7330] lr: 1.000e-04, eta: 14:25:18, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0365, loss_cls: 0.1845, acc: 93.5569, loss_bbox: 0.2264, loss_mask: 0.2310, loss: 0.7071 2023-11-14 16:48:41,287 - mmdet - INFO - Epoch [9][5550/7330] lr: 1.000e-04, eta: 14:25:05, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0337, loss_cls: 0.1751, acc: 93.6450, loss_bbox: 0.2186, loss_mask: 0.2298, loss: 0.6826 2023-11-14 16:48:54,158 - mmdet - INFO - Epoch [9][5600/7330] lr: 1.000e-04, eta: 14:24:51, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0346, loss_cls: 0.1833, acc: 93.4097, loss_bbox: 0.2306, loss_mask: 0.2258, loss: 0.7003 2023-11-14 16:49:06,833 - mmdet - INFO - Epoch [9][5650/7330] lr: 1.000e-04, eta: 14:24:37, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0349, loss_cls: 0.1897, acc: 93.2080, loss_bbox: 0.2252, loss_mask: 0.2245, loss: 0.7018 2023-11-14 16:49:19,619 - mmdet - INFO - Epoch [9][5700/7330] lr: 1.000e-04, eta: 14:24:24, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0334, loss_cls: 0.1749, acc: 93.8252, loss_bbox: 0.2099, loss_mask: 0.2229, loss: 0.6682 2023-11-14 16:49:32,453 - mmdet - INFO - Epoch [9][5750/7330] lr: 1.000e-04, eta: 14:24:10, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0372, loss_cls: 0.1873, acc: 93.2969, loss_bbox: 0.2306, loss_mask: 0.2288, loss: 0.7131 2023-11-14 16:49:45,349 - mmdet - INFO - Epoch [9][5800/7330] lr: 1.000e-04, eta: 14:23:57, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0350, loss_cls: 0.1745, acc: 93.7041, loss_bbox: 0.2175, loss_mask: 0.2203, loss: 0.6750 2023-11-14 16:49:58,257 - mmdet - INFO - Epoch [9][5850/7330] lr: 1.000e-04, eta: 14:23:43, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0350, loss_cls: 0.1865, acc: 93.3511, loss_bbox: 0.2291, loss_mask: 0.2273, loss: 0.7057 2023-11-14 16:50:11,124 - mmdet - INFO - Epoch [9][5900/7330] lr: 1.000e-04, eta: 14:23:30, time: 0.257, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0334, loss_cls: 0.1804, acc: 93.5244, loss_bbox: 0.2199, loss_mask: 0.2174, loss: 0.6772 2023-11-14 16:50:24,116 - mmdet - INFO - Epoch [9][5950/7330] lr: 1.000e-04, eta: 14:23:17, time: 0.260, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0303, loss_rpn_bbox: 0.0367, loss_cls: 0.1838, acc: 93.4705, loss_bbox: 0.2279, loss_mask: 0.2339, loss: 0.7125 2023-11-14 16:50:37,154 - mmdet - INFO - Epoch [9][6000/7330] lr: 1.000e-04, eta: 14:23:04, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0346, loss_cls: 0.1823, acc: 93.4412, loss_bbox: 0.2223, loss_mask: 0.2328, loss: 0.6997 2023-11-14 16:50:49,945 - mmdet - INFO - Epoch [9][6050/7330] lr: 1.000e-04, eta: 14:22:51, time: 0.256, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0364, loss_cls: 0.1852, acc: 93.4431, loss_bbox: 0.2305, loss_mask: 0.2262, loss: 0.7069 2023-11-14 16:51:02,668 - mmdet - INFO - Epoch [9][6100/7330] lr: 1.000e-04, eta: 14:22:37, time: 0.254, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0315, loss_rpn_bbox: 0.0369, loss_cls: 0.1775, acc: 93.6699, loss_bbox: 0.2187, loss_mask: 0.2218, loss: 0.6864 2023-11-14 16:51:15,350 - mmdet - INFO - Epoch [9][6150/7330] lr: 1.000e-04, eta: 14:22:23, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0340, loss_cls: 0.1778, acc: 93.6458, loss_bbox: 0.2214, loss_mask: 0.2267, loss: 0.6864 2023-11-14 16:51:28,026 - mmdet - INFO - Epoch [9][6200/7330] lr: 1.000e-04, eta: 14:22:09, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0357, loss_cls: 0.1746, acc: 93.7244, loss_bbox: 0.2207, loss_mask: 0.2249, loss: 0.6827 2023-11-14 16:51:40,803 - mmdet - INFO - Epoch [9][6250/7330] lr: 1.000e-04, eta: 14:21:55, time: 0.256, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0366, loss_cls: 0.1842, acc: 93.3489, loss_bbox: 0.2266, loss_mask: 0.2252, loss: 0.7019 2023-11-14 16:51:53,954 - mmdet - INFO - Epoch [9][6300/7330] lr: 1.000e-04, eta: 14:21:43, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0357, loss_cls: 0.1803, acc: 93.5542, loss_bbox: 0.2204, loss_mask: 0.2300, loss: 0.6948 2023-11-14 16:52:06,787 - mmdet - INFO - Epoch [9][6350/7330] lr: 1.000e-04, eta: 14:21:29, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0321, loss_cls: 0.1659, acc: 94.0112, loss_bbox: 0.2077, loss_mask: 0.2209, loss: 0.6500 2023-11-14 16:52:19,764 - mmdet - INFO - Epoch [9][6400/7330] lr: 1.000e-04, eta: 14:21:16, time: 0.260, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0371, loss_cls: 0.1796, acc: 93.4314, loss_bbox: 0.2243, loss_mask: 0.2266, loss: 0.6967 2023-11-14 16:52:32,661 - mmdet - INFO - Epoch [9][6450/7330] lr: 1.000e-04, eta: 14:21:03, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0334, loss_cls: 0.1723, acc: 93.8403, loss_bbox: 0.2151, loss_mask: 0.2207, loss: 0.6690 2023-11-14 16:52:45,620 - mmdet - INFO - Epoch [9][6500/7330] lr: 1.000e-04, eta: 14:20:50, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0335, loss_cls: 0.1820, acc: 93.4702, loss_bbox: 0.2226, loss_mask: 0.2242, loss: 0.6893 2023-11-14 16:52:58,344 - mmdet - INFO - Epoch [9][6550/7330] lr: 1.000e-04, eta: 14:20:36, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0339, loss_cls: 0.1791, acc: 93.5847, loss_bbox: 0.2192, loss_mask: 0.2214, loss: 0.6799 2023-11-14 16:53:11,226 - mmdet - INFO - Epoch [9][6600/7330] lr: 1.000e-04, eta: 14:20:23, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0346, loss_cls: 0.1765, acc: 93.6453, loss_bbox: 0.2175, loss_mask: 0.2188, loss: 0.6740 2023-11-14 16:53:24,134 - mmdet - INFO - Epoch [9][6650/7330] lr: 1.000e-04, eta: 14:20:09, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0357, loss_cls: 0.1781, acc: 93.6353, loss_bbox: 0.2227, loss_mask: 0.2238, loss: 0.6890 2023-11-14 16:53:36,932 - mmdet - INFO - Epoch [9][6700/7330] lr: 1.000e-04, eta: 14:19:56, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0335, loss_cls: 0.1828, acc: 93.5022, loss_bbox: 0.2258, loss_mask: 0.2219, loss: 0.6909 2023-11-14 16:53:49,624 - mmdet - INFO - Epoch [9][6750/7330] lr: 1.000e-04, eta: 14:19:42, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0343, loss_cls: 0.1852, acc: 93.3743, loss_bbox: 0.2293, loss_mask: 0.2238, loss: 0.6999 2023-11-14 16:54:02,340 - mmdet - INFO - Epoch [9][6800/7330] lr: 1.000e-04, eta: 14:19:28, time: 0.254, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0335, loss_cls: 0.1743, acc: 93.7312, loss_bbox: 0.2178, loss_mask: 0.2232, loss: 0.6750 2023-11-14 16:54:15,025 - mmdet - INFO - Epoch [9][6850/7330] lr: 1.000e-04, eta: 14:19:14, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0358, loss_cls: 0.1845, acc: 93.3816, loss_bbox: 0.2248, loss_mask: 0.2278, loss: 0.7035 2023-11-14 16:54:27,922 - mmdet - INFO - Epoch [9][6900/7330] lr: 1.000e-04, eta: 14:19:01, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0345, loss_cls: 0.1848, acc: 93.4612, loss_bbox: 0.2262, loss_mask: 0.2271, loss: 0.6981 2023-11-14 16:54:40,704 - mmdet - INFO - Epoch [9][6950/7330] lr: 1.000e-04, eta: 14:18:47, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0345, loss_cls: 0.1769, acc: 93.7390, loss_bbox: 0.2188, loss_mask: 0.2199, loss: 0.6798 2023-11-14 16:54:53,279 - mmdet - INFO - Epoch [9][7000/7330] lr: 1.000e-04, eta: 14:18:33, time: 0.252, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0361, loss_cls: 0.1784, acc: 93.5681, loss_bbox: 0.2242, loss_mask: 0.2266, loss: 0.6931 2023-11-14 16:55:05,996 - mmdet - INFO - Epoch [9][7050/7330] lr: 1.000e-04, eta: 14:18:19, time: 0.254, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0355, loss_cls: 0.1858, acc: 93.3997, loss_bbox: 0.2249, loss_mask: 0.2231, loss: 0.6974 2023-11-14 16:55:18,867 - mmdet - INFO - Epoch [9][7100/7330] lr: 1.000e-04, eta: 14:18:06, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0354, loss_cls: 0.1819, acc: 93.5315, loss_bbox: 0.2183, loss_mask: 0.2249, loss: 0.6895 2023-11-14 16:55:31,533 - mmdet - INFO - Epoch [9][7150/7330] lr: 1.000e-04, eta: 14:17:52, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0342, loss_cls: 0.1782, acc: 93.6113, loss_bbox: 0.2149, loss_mask: 0.2212, loss: 0.6728 2023-11-14 16:55:44,673 - mmdet - INFO - Epoch [9][7200/7330] lr: 1.000e-04, eta: 14:17:39, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0344, loss_cls: 0.1704, acc: 93.9148, loss_bbox: 0.2140, loss_mask: 0.2214, loss: 0.6675 2023-11-14 16:55:57,608 - mmdet - INFO - Epoch [9][7250/7330] lr: 1.000e-04, eta: 14:17:26, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0372, loss_cls: 0.1792, acc: 93.5723, loss_bbox: 0.2211, loss_mask: 0.2271, loss: 0.6936 2023-11-14 16:56:10,418 - mmdet - INFO - Epoch [9][7300/7330] lr: 1.000e-04, eta: 14:17:12, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0340, loss_cls: 0.1698, acc: 93.8838, loss_bbox: 0.2194, loss_mask: 0.2248, loss: 0.6738 2023-11-14 16:56:18,551 - mmdet - INFO - Saving checkpoint at 9 epochs 2023-11-14 16:57:05,406 - mmdet - INFO - Evaluating bbox... 2023-11-14 16:57:37,852 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.458 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.683 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.508 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.311 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 ] = 0.589 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.437 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.732 2023-11-14 16:57:37,855 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.571 | bicycle | 0.360 | car | 0.482 | | motorcycle | 0.474 | airplane | 0.662 | bus | 0.688 | | train | 0.657 | truck | 0.385 | boat | 0.328 | | traffic light | 0.299 | fire hydrant | 0.690 | stop sign | 0.687 | | parking meter | 0.526 | bench | 0.290 | bird | 0.409 | | cat | 0.704 | dog | 0.678 | horse | 0.601 | | sheep | 0.571 | cow | 0.610 | elephant | 0.679 | | bear | 0.745 | zebra | 0.673 | giraffe | 0.679 | | backpack | 0.185 | umbrella | 0.434 | handbag | 0.195 | | tie | 0.357 | suitcase | 0.464 | frisbee | 0.669 | | skis | 0.259 | snowboard | 0.406 | sports ball | 0.468 | | kite | 0.445 | baseball bat | 0.403 | baseball glove | 0.397 | | skateboard | 0.566 | surfboard | 0.446 | tennis racket | 0.511 | | bottle | 0.437 | wine glass | 0.378 | cup | 0.495 | | fork | 0.430 | knife | 0.243 | spoon | 0.233 | | bowl | 0.450 | banana | 0.293 | apple | 0.230 | | sandwich | 0.388 | orange | 0.343 | broccoli | 0.245 | | carrot | 0.238 | hot dog | 0.412 | pizza | 0.540 | | donut | 0.542 | cake | 0.426 | chair | 0.346 | | couch | 0.480 | potted plant | 0.330 | bed | 0.473 | | dining table | 0.289 | toilet | 0.631 | tv | 0.632 | | laptop | 0.646 | mouse | 0.624 | remote | 0.399 | | keyboard | 0.531 | cell phone | 0.405 | microwave | 0.610 | | oven | 0.377 | toaster | 0.444 | sink | 0.421 | | refrigerator | 0.610 | book | 0.189 | clock | 0.513 | | vase | 0.426 | scissors | 0.367 | teddy bear | 0.505 | | hair drier | 0.127 | toothbrush | 0.335 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 16:57:37,855 - mmdet - INFO - Evaluating segm... 2023-11-14 16:58:13,600 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.416 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.653 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.447 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 ] = 0.454 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 ] = 0.540 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 ] = 0.588 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.698 2023-11-14 16:58:13,603 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.494 | bicycle | 0.218 | car | 0.443 | | motorcycle | 0.383 | airplane | 0.529 | bus | 0.685 | | train | 0.656 | truck | 0.376 | boat | 0.290 | | traffic light | 0.293 | fire hydrant | 0.679 | stop sign | 0.659 | | parking meter | 0.528 | bench | 0.218 | bird | 0.338 | | cat | 0.702 | dog | 0.639 | horse | 0.458 | | sheep | 0.505 | cow | 0.532 | elephant | 0.625 | | bear | 0.730 | zebra | 0.571 | giraffe | 0.544 | | backpack | 0.205 | umbrella | 0.507 | handbag | 0.198 | | tie | 0.340 | suitcase | 0.481 | frisbee | 0.643 | | skis | 0.039 | snowboard | 0.256 | sports ball | 0.448 | | kite | 0.318 | baseball bat | 0.294 | baseball glove | 0.430 | | skateboard | 0.344 | surfboard | 0.373 | tennis racket | 0.577 | | bottle | 0.426 | wine glass | 0.338 | cup | 0.497 | | fork | 0.220 | knife | 0.157 | spoon | 0.169 | | bowl | 0.430 | banana | 0.235 | apple | 0.227 | | sandwich | 0.419 | orange | 0.350 | broccoli | 0.228 | | carrot | 0.210 | hot dog | 0.333 | pizza | 0.513 | | donut | 0.545 | cake | 0.429 | chair | 0.253 | | couch | 0.410 | potted plant | 0.274 | bed | 0.365 | | dining table | 0.171 | toilet | 0.619 | tv | 0.657 | | laptop | 0.659 | mouse | 0.626 | remote | 0.356 | | keyboard | 0.521 | cell phone | 0.386 | microwave | 0.650 | | oven | 0.374 | toaster | 0.483 | sink | 0.410 | | refrigerator | 0.623 | book | 0.139 | clock | 0.515 | | vase | 0.424 | scissors | 0.286 | teddy bear | 0.485 | | hair drier | 0.066 | toothbrush | 0.224 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 16:58:14,156 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_7.pth was removed 2023-11-14 16:58:15,724 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_9.pth. 2023-11-14 16:58:15,725 - mmdet - INFO - Best bbox_mAP is 0.4585 at 9 epoch. 2023-11-14 16:58:15,725 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 16:58:15,725 - mmdet - INFO - Epoch(val) [9][625] bbox_mAP: 0.4585, bbox_mAP_50: 0.6825, bbox_mAP_75: 0.5083, bbox_mAP_s: 0.3110, bbox_mAP_m: 0.5013, bbox_mAP_l: 0.5886, bbox_mAP_copypaste: 0.4585 0.6825 0.5083 0.3110 0.5013 0.5886, segm_mAP: 0.4157, segm_mAP_50: 0.6531, segm_mAP_75: 0.4473, segm_mAP_s: 0.2335, segm_mAP_m: 0.4540, segm_mAP_l: 0.5967, segm_mAP_copypaste: 0.4157 0.6531 0.4473 0.2335 0.4540 0.5967 2023-11-14 16:58:34,141 - mmdet - INFO - Epoch [10][50/7330] lr: 1.000e-04, eta: 14:16:44, time: 0.368, data_time: 0.123, memory: 4697, loss_rpn_cls: 0.0301, loss_rpn_bbox: 0.0362, loss_cls: 0.1749, acc: 93.6865, loss_bbox: 0.2200, loss_mask: 0.2230, loss: 0.6842 2023-11-14 16:58:47,343 - mmdet - INFO - Epoch [10][100/7330] lr: 1.000e-04, eta: 14:16:32, time: 0.264, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0347, loss_cls: 0.1770, acc: 93.6389, loss_bbox: 0.2183, loss_mask: 0.2251, loss: 0.6821 2023-11-14 16:59:00,569 - mmdet - INFO - Epoch [10][150/7330] lr: 1.000e-04, eta: 14:16:20, time: 0.265, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0363, loss_cls: 0.1823, acc: 93.5513, loss_bbox: 0.2238, loss_mask: 0.2258, loss: 0.6946 2023-11-14 16:59:13,674 - mmdet - INFO - Epoch [10][200/7330] lr: 1.000e-04, eta: 14:16:07, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0355, loss_cls: 0.1722, acc: 93.8018, loss_bbox: 0.2178, loss_mask: 0.2191, loss: 0.6715 2023-11-14 16:59:26,619 - mmdet - INFO - Epoch [10][250/7330] lr: 1.000e-04, eta: 14:15:54, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0360, loss_cls: 0.1750, acc: 93.6169, loss_bbox: 0.2284, loss_mask: 0.2252, loss: 0.6915 2023-11-14 16:59:39,818 - mmdet - INFO - Epoch [10][300/7330] lr: 1.000e-04, eta: 14:15:42, time: 0.264, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0355, loss_cls: 0.1775, acc: 93.6765, loss_bbox: 0.2242, loss_mask: 0.2262, loss: 0.6903 2023-11-14 16:59:53,067 - mmdet - INFO - Epoch [10][350/7330] lr: 1.000e-04, eta: 14:15:29, time: 0.265, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0333, loss_cls: 0.1735, acc: 93.6851, loss_bbox: 0.2189, loss_mask: 0.2217, loss: 0.6714 2023-11-14 17:00:06,093 - mmdet - INFO - Epoch [10][400/7330] lr: 1.000e-04, eta: 14:15:17, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0354, loss_cls: 0.1889, acc: 93.2495, loss_bbox: 0.2281, loss_mask: 0.2264, loss: 0.7058 2023-11-14 17:00:18,673 - mmdet - INFO - Epoch [10][450/7330] lr: 1.000e-04, eta: 14:15:02, time: 0.252, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0340, loss_cls: 0.1693, acc: 93.8542, loss_bbox: 0.2157, loss_mask: 0.2243, loss: 0.6697 2023-11-14 17:00:31,573 - mmdet - INFO - Epoch [10][500/7330] lr: 1.000e-04, eta: 14:14:49, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0352, loss_cls: 0.1810, acc: 93.4338, loss_bbox: 0.2255, loss_mask: 0.2272, loss: 0.6947 2023-11-14 17:00:44,377 - mmdet - INFO - Epoch [10][550/7330] lr: 1.000e-04, eta: 14:14:36, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0313, loss_cls: 0.1659, acc: 94.0527, loss_bbox: 0.2096, loss_mask: 0.2149, loss: 0.6462 2023-11-14 17:00:56,996 - mmdet - INFO - Epoch [10][600/7330] lr: 1.000e-04, eta: 14:14:21, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0347, loss_cls: 0.1736, acc: 93.7256, loss_bbox: 0.2228, loss_mask: 0.2192, loss: 0.6770 2023-11-14 17:01:09,819 - mmdet - INFO - Epoch [10][650/7330] lr: 1.000e-04, eta: 14:14:08, time: 0.256, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0330, loss_cls: 0.1735, acc: 93.7864, loss_bbox: 0.2192, loss_mask: 0.2239, loss: 0.6767 2023-11-14 17:01:22,730 - mmdet - INFO - Epoch [10][700/7330] lr: 1.000e-04, eta: 14:13:55, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0329, loss_cls: 0.1684, acc: 93.9353, loss_bbox: 0.2115, loss_mask: 0.2166, loss: 0.6544 2023-11-14 17:01:35,763 - mmdet - INFO - Epoch [10][750/7330] lr: 1.000e-04, eta: 14:13:42, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0337, loss_cls: 0.1660, acc: 94.1299, loss_bbox: 0.2065, loss_mask: 0.2210, loss: 0.6523 2023-11-14 17:01:48,757 - mmdet - INFO - Epoch [10][800/7330] lr: 1.000e-04, eta: 14:13:29, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0343, loss_cls: 0.1801, acc: 93.5437, loss_bbox: 0.2255, loss_mask: 0.2206, loss: 0.6859 2023-11-14 17:02:01,596 - mmdet - INFO - Epoch [10][850/7330] lr: 1.000e-04, eta: 14:13:15, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0350, loss_cls: 0.1719, acc: 93.8684, loss_bbox: 0.2122, loss_mask: 0.2156, loss: 0.6604 2023-11-14 17:02:14,421 - mmdet - INFO - Epoch [10][900/7330] lr: 1.000e-04, eta: 14:13:02, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0344, loss_cls: 0.1710, acc: 93.9270, loss_bbox: 0.2131, loss_mask: 0.2175, loss: 0.6608 2023-11-14 17:02:27,240 - mmdet - INFO - Epoch [10][950/7330] lr: 1.000e-04, eta: 14:12:48, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0358, loss_cls: 0.1704, acc: 93.8640, loss_bbox: 0.2184, loss_mask: 0.2191, loss: 0.6719 2023-11-14 17:02:40,278 - mmdet - INFO - Epoch [10][1000/7330] lr: 1.000e-04, eta: 14:12:36, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0337, loss_cls: 0.1705, acc: 93.8013, loss_bbox: 0.2184, loss_mask: 0.2231, loss: 0.6708 2023-11-14 17:02:52,924 - mmdet - INFO - Epoch [10][1050/7330] lr: 1.000e-04, eta: 14:12:22, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0353, loss_cls: 0.1757, acc: 93.5862, loss_bbox: 0.2224, loss_mask: 0.2261, loss: 0.6873 2023-11-14 17:03:06,070 - mmdet - INFO - Epoch [10][1100/7330] lr: 1.000e-04, eta: 14:12:09, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0341, loss_cls: 0.1678, acc: 93.9441, loss_bbox: 0.2108, loss_mask: 0.2199, loss: 0.6571 2023-11-14 17:03:18,648 - mmdet - INFO - Epoch [10][1150/7330] lr: 1.000e-04, eta: 14:11:55, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0329, loss_cls: 0.1817, acc: 93.5842, loss_bbox: 0.2236, loss_mask: 0.2257, loss: 0.6886 2023-11-14 17:03:31,333 - mmdet - INFO - Epoch [10][1200/7330] lr: 1.000e-04, eta: 14:11:41, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0338, loss_cls: 0.1844, acc: 93.3772, loss_bbox: 0.2244, loss_mask: 0.2218, loss: 0.6910 2023-11-14 17:03:44,627 - mmdet - INFO - Epoch [10][1250/7330] lr: 1.000e-04, eta: 14:11:29, time: 0.266, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0354, loss_cls: 0.1807, acc: 93.4392, loss_bbox: 0.2266, loss_mask: 0.2236, loss: 0.6936 2023-11-14 17:03:57,531 - mmdet - INFO - Epoch [10][1300/7330] lr: 1.000e-04, eta: 14:11:16, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0326, loss_cls: 0.1721, acc: 93.7751, loss_bbox: 0.2118, loss_mask: 0.2214, loss: 0.6635 2023-11-14 17:04:10,252 - mmdet - INFO - Epoch [10][1350/7330] lr: 1.000e-04, eta: 14:11:02, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0298, loss_rpn_bbox: 0.0359, loss_cls: 0.1789, acc: 93.5779, loss_bbox: 0.2264, loss_mask: 0.2219, loss: 0.6928 2023-11-14 17:04:23,295 - mmdet - INFO - Epoch [10][1400/7330] lr: 1.000e-04, eta: 14:10:49, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0360, loss_cls: 0.1733, acc: 93.6672, loss_bbox: 0.2203, loss_mask: 0.2247, loss: 0.6813 2023-11-14 17:04:36,424 - mmdet - INFO - Epoch [10][1450/7330] lr: 1.000e-04, eta: 14:10:36, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0306, loss_rpn_bbox: 0.0372, loss_cls: 0.1777, acc: 93.5371, loss_bbox: 0.2262, loss_mask: 0.2243, loss: 0.6959 2023-11-14 17:04:49,339 - mmdet - INFO - Epoch [10][1500/7330] lr: 1.000e-04, eta: 14:10:23, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0377, loss_cls: 0.1716, acc: 93.7334, loss_bbox: 0.2211, loss_mask: 0.2210, loss: 0.6793 2023-11-14 17:05:02,267 - mmdet - INFO - Epoch [10][1550/7330] lr: 1.000e-04, eta: 14:10:10, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0344, loss_cls: 0.1739, acc: 93.7234, loss_bbox: 0.2242, loss_mask: 0.2204, loss: 0.6792 2023-11-14 17:05:15,405 - mmdet - INFO - Epoch [10][1600/7330] lr: 1.000e-04, eta: 14:09:58, time: 0.263, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0354, loss_cls: 0.1719, acc: 93.7207, loss_bbox: 0.2172, loss_mask: 0.2224, loss: 0.6750 2023-11-14 17:05:28,204 - mmdet - INFO - Epoch [10][1650/7330] lr: 1.000e-04, eta: 14:09:44, time: 0.256, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0327, loss_cls: 0.1707, acc: 93.8840, loss_bbox: 0.2117, loss_mask: 0.2212, loss: 0.6628 2023-11-14 17:05:40,968 - mmdet - INFO - Epoch [10][1700/7330] lr: 1.000e-04, eta: 14:09:30, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0338, loss_cls: 0.1702, acc: 93.8794, loss_bbox: 0.2128, loss_mask: 0.2176, loss: 0.6597 2023-11-14 17:05:53,806 - mmdet - INFO - Epoch [10][1750/7330] lr: 1.000e-04, eta: 14:09:17, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0342, loss_cls: 0.1748, acc: 93.6116, loss_bbox: 0.2266, loss_mask: 0.2249, loss: 0.6841 2023-11-14 17:06:06,724 - mmdet - INFO - Epoch [10][1800/7330] lr: 1.000e-04, eta: 14:09:04, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0332, loss_cls: 0.1600, acc: 94.2432, loss_bbox: 0.1998, loss_mask: 0.2191, loss: 0.6364 2023-11-14 17:06:19,694 - mmdet - INFO - Epoch [10][1850/7330] lr: 1.000e-04, eta: 14:08:51, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0357, loss_cls: 0.1784, acc: 93.5042, loss_bbox: 0.2194, loss_mask: 0.2232, loss: 0.6821 2023-11-14 17:06:32,287 - mmdet - INFO - Epoch [10][1900/7330] lr: 1.000e-04, eta: 14:08:37, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0338, loss_cls: 0.1672, acc: 93.8435, loss_bbox: 0.2094, loss_mask: 0.2206, loss: 0.6554 2023-11-14 17:06:45,384 - mmdet - INFO - Epoch [10][1950/7330] lr: 1.000e-04, eta: 14:08:24, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0335, loss_cls: 0.1728, acc: 93.7295, loss_bbox: 0.2144, loss_mask: 0.2237, loss: 0.6685 2023-11-14 17:06:58,348 - mmdet - INFO - Epoch [10][2000/7330] lr: 1.000e-04, eta: 14:08:11, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0357, loss_cls: 0.1806, acc: 93.5261, loss_bbox: 0.2228, loss_mask: 0.2231, loss: 0.6884 2023-11-14 17:07:11,424 - mmdet - INFO - Epoch [10][2050/7330] lr: 1.000e-04, eta: 14:07:58, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0337, loss_cls: 0.1756, acc: 93.6638, loss_bbox: 0.2164, loss_mask: 0.2253, loss: 0.6763 2023-11-14 17:07:24,383 - mmdet - INFO - Epoch [10][2100/7330] lr: 1.000e-04, eta: 14:07:45, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0338, loss_cls: 0.1759, acc: 93.6628, loss_bbox: 0.2214, loss_mask: 0.2216, loss: 0.6788 2023-11-14 17:07:37,182 - mmdet - INFO - Epoch [10][2150/7330] lr: 1.000e-04, eta: 14:07:31, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0365, loss_cls: 0.1840, acc: 93.4690, loss_bbox: 0.2232, loss_mask: 0.2250, loss: 0.6950 2023-11-14 17:07:50,107 - mmdet - INFO - Epoch [10][2200/7330] lr: 1.000e-04, eta: 14:07:18, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0309, loss_rpn_bbox: 0.0388, loss_cls: 0.1847, acc: 93.3438, loss_bbox: 0.2267, loss_mask: 0.2330, loss: 0.7141 2023-11-14 17:08:02,983 - mmdet - INFO - Epoch [10][2250/7330] lr: 1.000e-04, eta: 14:07:05, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0370, loss_cls: 0.1785, acc: 93.5881, loss_bbox: 0.2228, loss_mask: 0.2209, loss: 0.6881 2023-11-14 17:08:15,907 - mmdet - INFO - Epoch [10][2300/7330] lr: 1.000e-04, eta: 14:06:52, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0345, loss_cls: 0.1747, acc: 93.6584, loss_bbox: 0.2254, loss_mask: 0.2263, loss: 0.6875 2023-11-14 17:08:28,598 - mmdet - INFO - Epoch [10][2350/7330] lr: 1.000e-04, eta: 14:06:38, time: 0.254, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0334, loss_cls: 0.1724, acc: 93.7498, loss_bbox: 0.2193, loss_mask: 0.2195, loss: 0.6722 2023-11-14 17:08:41,614 - mmdet - INFO - Epoch [10][2400/7330] lr: 1.000e-04, eta: 14:06:25, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0317, loss_cls: 0.1636, acc: 94.1150, loss_bbox: 0.2082, loss_mask: 0.2139, loss: 0.6429 2023-11-14 17:08:54,205 - mmdet - INFO - Epoch [10][2450/7330] lr: 1.000e-04, eta: 14:06:11, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0332, loss_cls: 0.1721, acc: 93.8555, loss_bbox: 0.2157, loss_mask: 0.2207, loss: 0.6672 2023-11-14 17:09:06,743 - mmdet - INFO - Epoch [10][2500/7330] lr: 1.000e-04, eta: 14:05:57, time: 0.251, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0317, loss_cls: 0.1716, acc: 93.8042, loss_bbox: 0.2141, loss_mask: 0.2176, loss: 0.6605 2023-11-14 17:09:19,502 - mmdet - INFO - Epoch [10][2550/7330] lr: 1.000e-04, eta: 14:05:43, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0328, loss_cls: 0.1760, acc: 93.7166, loss_bbox: 0.2173, loss_mask: 0.2229, loss: 0.6732 2023-11-14 17:09:32,264 - mmdet - INFO - Epoch [10][2600/7330] lr: 1.000e-04, eta: 14:05:29, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0346, loss_cls: 0.1700, acc: 93.7356, loss_bbox: 0.2161, loss_mask: 0.2208, loss: 0.6665 2023-11-14 17:09:45,298 - mmdet - INFO - Epoch [10][2650/7330] lr: 1.000e-04, eta: 14:05:17, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0347, loss_cls: 0.1783, acc: 93.6501, loss_bbox: 0.2208, loss_mask: 0.2206, loss: 0.6805 2023-11-14 17:09:58,055 - mmdet - INFO - Epoch [10][2700/7330] lr: 1.000e-04, eta: 14:05:03, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0353, loss_cls: 0.1759, acc: 93.6982, loss_bbox: 0.2202, loss_mask: 0.2209, loss: 0.6762 2023-11-14 17:10:11,166 - mmdet - INFO - Epoch [10][2750/7330] lr: 1.000e-04, eta: 14:04:50, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0345, loss_cls: 0.1795, acc: 93.6743, loss_bbox: 0.2205, loss_mask: 0.2157, loss: 0.6794 2023-11-14 17:10:24,030 - mmdet - INFO - Epoch [10][2800/7330] lr: 1.000e-04, eta: 14:04:37, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0359, loss_cls: 0.1767, acc: 93.7517, loss_bbox: 0.2189, loss_mask: 0.2164, loss: 0.6749 2023-11-14 17:10:36,614 - mmdet - INFO - Epoch [10][2850/7330] lr: 1.000e-04, eta: 14:04:23, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0322, loss_cls: 0.1701, acc: 93.8828, loss_bbox: 0.2081, loss_mask: 0.2233, loss: 0.6584 2023-11-14 17:10:49,671 - mmdet - INFO - Epoch [10][2900/7330] lr: 1.000e-04, eta: 14:04:10, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0296, loss_rpn_bbox: 0.0348, loss_cls: 0.1825, acc: 93.4846, loss_bbox: 0.2204, loss_mask: 0.2311, loss: 0.6985 2023-11-14 17:11:02,850 - mmdet - INFO - Epoch [10][2950/7330] lr: 1.000e-04, eta: 14:03:58, time: 0.264, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0338, loss_cls: 0.1747, acc: 93.8130, loss_bbox: 0.2138, loss_mask: 0.2183, loss: 0.6654 2023-11-14 17:11:15,601 - mmdet - INFO - Epoch [10][3000/7330] lr: 1.000e-04, eta: 14:03:44, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0329, loss_cls: 0.1761, acc: 93.7305, loss_bbox: 0.2108, loss_mask: 0.2196, loss: 0.6659 2023-11-14 17:11:28,213 - mmdet - INFO - Epoch [10][3050/7330] lr: 1.000e-04, eta: 14:03:30, time: 0.252, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0344, loss_cls: 0.1748, acc: 93.7178, loss_bbox: 0.2149, loss_mask: 0.2225, loss: 0.6740 2023-11-14 17:11:40,964 - mmdet - INFO - Epoch [10][3100/7330] lr: 1.000e-04, eta: 14:03:16, time: 0.255, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0356, loss_cls: 0.1806, acc: 93.5945, loss_bbox: 0.2233, loss_mask: 0.2268, loss: 0.6927 2023-11-14 17:11:53,905 - mmdet - INFO - Epoch [10][3150/7330] lr: 1.000e-04, eta: 14:03:03, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0348, loss_cls: 0.1801, acc: 93.6086, loss_bbox: 0.2227, loss_mask: 0.2174, loss: 0.6808 2023-11-14 17:12:06,696 - mmdet - INFO - Epoch [10][3200/7330] lr: 1.000e-04, eta: 14:02:50, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0338, loss_cls: 0.1747, acc: 93.6951, loss_bbox: 0.2192, loss_mask: 0.2225, loss: 0.6781 2023-11-14 17:12:19,412 - mmdet - INFO - Epoch [10][3250/7330] lr: 1.000e-04, eta: 14:02:36, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0358, loss_cls: 0.1774, acc: 93.6589, loss_bbox: 0.2191, loss_mask: 0.2229, loss: 0.6801 2023-11-14 17:12:32,302 - mmdet - INFO - Epoch [10][3300/7330] lr: 1.000e-04, eta: 14:02:23, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0348, loss_cls: 0.1805, acc: 93.5251, loss_bbox: 0.2272, loss_mask: 0.2235, loss: 0.6918 2023-11-14 17:12:45,246 - mmdet - INFO - Epoch [10][3350/7330] lr: 1.000e-04, eta: 14:02:09, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0364, loss_cls: 0.1837, acc: 93.3535, loss_bbox: 0.2275, loss_mask: 0.2238, loss: 0.6967 2023-11-14 17:12:57,932 - mmdet - INFO - Epoch [10][3400/7330] lr: 1.000e-04, eta: 14:01:56, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0356, loss_cls: 0.1850, acc: 93.3914, loss_bbox: 0.2292, loss_mask: 0.2301, loss: 0.7083 2023-11-14 17:13:10,825 - mmdet - INFO - Epoch [10][3450/7330] lr: 1.000e-04, eta: 14:01:42, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0366, loss_cls: 0.1804, acc: 93.5315, loss_bbox: 0.2218, loss_mask: 0.2227, loss: 0.6889 2023-11-14 17:13:23,693 - mmdet - INFO - Epoch [10][3500/7330] lr: 1.000e-04, eta: 14:01:29, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0348, loss_cls: 0.1762, acc: 93.6970, loss_bbox: 0.2195, loss_mask: 0.2223, loss: 0.6782 2023-11-14 17:13:36,463 - mmdet - INFO - Epoch [10][3550/7330] lr: 1.000e-04, eta: 14:01:16, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0339, loss_cls: 0.1815, acc: 93.3926, loss_bbox: 0.2238, loss_mask: 0.2225, loss: 0.6877 2023-11-14 17:13:49,152 - mmdet - INFO - Epoch [10][3600/7330] lr: 1.000e-04, eta: 14:01:02, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0368, loss_cls: 0.1754, acc: 93.6565, loss_bbox: 0.2163, loss_mask: 0.2255, loss: 0.6804 2023-11-14 17:14:02,220 - mmdet - INFO - Epoch [10][3650/7330] lr: 1.000e-04, eta: 14:00:49, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0358, loss_cls: 0.1694, acc: 93.7468, loss_bbox: 0.2184, loss_mask: 0.2200, loss: 0.6700 2023-11-14 17:14:14,937 - mmdet - INFO - Epoch [10][3700/7330] lr: 1.000e-04, eta: 14:00:35, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0351, loss_cls: 0.1784, acc: 93.6543, loss_bbox: 0.2224, loss_mask: 0.2241, loss: 0.6855 2023-11-14 17:14:27,845 - mmdet - INFO - Epoch [10][3750/7330] lr: 1.000e-04, eta: 14:00:22, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0330, loss_cls: 0.1755, acc: 93.7871, loss_bbox: 0.2159, loss_mask: 0.2234, loss: 0.6729 2023-11-14 17:14:40,598 - mmdet - INFO - Epoch [10][3800/7330] lr: 1.000e-04, eta: 14:00:08, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0332, loss_cls: 0.1689, acc: 93.8538, loss_bbox: 0.2152, loss_mask: 0.2239, loss: 0.6643 2023-11-14 17:14:53,461 - mmdet - INFO - Epoch [10][3850/7330] lr: 1.000e-04, eta: 13:59:55, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0333, loss_cls: 0.1730, acc: 93.8093, loss_bbox: 0.2147, loss_mask: 0.2193, loss: 0.6676 2023-11-14 17:15:06,463 - mmdet - INFO - Epoch [10][3900/7330] lr: 1.000e-04, eta: 13:59:42, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0331, loss_cls: 0.1688, acc: 93.9407, loss_bbox: 0.2118, loss_mask: 0.2209, loss: 0.6599 2023-11-14 17:15:19,213 - mmdet - INFO - Epoch [10][3950/7330] lr: 1.000e-04, eta: 13:59:28, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0330, loss_cls: 0.1688, acc: 93.9358, loss_bbox: 0.2133, loss_mask: 0.2192, loss: 0.6603 2023-11-14 17:15:31,948 - mmdet - INFO - Epoch [10][4000/7330] lr: 1.000e-04, eta: 13:59:15, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0356, loss_cls: 0.1757, acc: 93.5950, loss_bbox: 0.2214, loss_mask: 0.2260, loss: 0.6871 2023-11-14 17:15:44,672 - mmdet - INFO - Epoch [10][4050/7330] lr: 1.000e-04, eta: 13:59:01, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0347, loss_cls: 0.1720, acc: 93.7515, loss_bbox: 0.2149, loss_mask: 0.2186, loss: 0.6680 2023-11-14 17:15:56,969 - mmdet - INFO - Epoch [10][4100/7330] lr: 1.000e-04, eta: 13:58:46, time: 0.246, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0322, loss_cls: 0.1705, acc: 93.8877, loss_bbox: 0.2119, loss_mask: 0.2239, loss: 0.6644 2023-11-14 17:16:10,032 - mmdet - INFO - Epoch [10][4150/7330] lr: 1.000e-04, eta: 13:58:33, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0383, loss_cls: 0.1865, acc: 93.3003, loss_bbox: 0.2303, loss_mask: 0.2263, loss: 0.7097 2023-11-14 17:16:23,135 - mmdet - INFO - Epoch [10][4200/7330] lr: 1.000e-04, eta: 13:58:21, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0287, loss_rpn_bbox: 0.0357, loss_cls: 0.1805, acc: 93.4299, loss_bbox: 0.2221, loss_mask: 0.2242, loss: 0.6912 2023-11-14 17:16:35,659 - mmdet - INFO - Epoch [10][4250/7330] lr: 1.000e-04, eta: 13:58:07, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0334, loss_cls: 0.1762, acc: 93.7825, loss_bbox: 0.2161, loss_mask: 0.2191, loss: 0.6715 2023-11-14 17:16:48,522 - mmdet - INFO - Epoch [10][4300/7330] lr: 1.000e-04, eta: 13:57:53, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0353, loss_cls: 0.1783, acc: 93.5889, loss_bbox: 0.2178, loss_mask: 0.2239, loss: 0.6825 2023-11-14 17:17:01,443 - mmdet - INFO - Epoch [10][4350/7330] lr: 1.000e-04, eta: 13:57:40, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0338, loss_cls: 0.1766, acc: 93.6995, loss_bbox: 0.2186, loss_mask: 0.2209, loss: 0.6750 2023-11-14 17:17:14,522 - mmdet - INFO - Epoch [10][4400/7330] lr: 1.000e-04, eta: 13:57:27, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0338, loss_cls: 0.1742, acc: 93.6826, loss_bbox: 0.2207, loss_mask: 0.2251, loss: 0.6791 2023-11-14 17:17:27,303 - mmdet - INFO - Epoch [10][4450/7330] lr: 1.000e-04, eta: 13:57:14, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0342, loss_cls: 0.1787, acc: 93.6111, loss_bbox: 0.2215, loss_mask: 0.2266, loss: 0.6871 2023-11-14 17:17:40,220 - mmdet - INFO - Epoch [10][4500/7330] lr: 1.000e-04, eta: 13:57:01, time: 0.258, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0338, loss_cls: 0.1709, acc: 93.8833, loss_bbox: 0.2134, loss_mask: 0.2206, loss: 0.6652 2023-11-14 17:17:53,058 - mmdet - INFO - Epoch [10][4550/7330] lr: 1.000e-04, eta: 13:56:47, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0361, loss_cls: 0.1797, acc: 93.4719, loss_bbox: 0.2250, loss_mask: 0.2307, loss: 0.6979 2023-11-14 17:18:05,951 - mmdet - INFO - Epoch [10][4600/7330] lr: 1.000e-04, eta: 13:56:34, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0335, loss_cls: 0.1718, acc: 93.7812, loss_bbox: 0.2147, loss_mask: 0.2184, loss: 0.6636 2023-11-14 17:18:18,806 - mmdet - INFO - Epoch [10][4650/7330] lr: 1.000e-04, eta: 13:56:21, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0342, loss_cls: 0.1743, acc: 93.7710, loss_bbox: 0.2170, loss_mask: 0.2204, loss: 0.6715 2023-11-14 17:18:31,562 - mmdet - INFO - Epoch [10][4700/7330] lr: 1.000e-04, eta: 13:56:07, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0351, loss_cls: 0.1763, acc: 93.6777, loss_bbox: 0.2220, loss_mask: 0.2225, loss: 0.6822 2023-11-14 17:18:44,250 - mmdet - INFO - Epoch [10][4750/7330] lr: 1.000e-04, eta: 13:55:53, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0345, loss_cls: 0.1732, acc: 93.8372, loss_bbox: 0.2148, loss_mask: 0.2217, loss: 0.6722 2023-11-14 17:18:56,917 - mmdet - INFO - Epoch [10][4800/7330] lr: 1.000e-04, eta: 13:55:39, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0330, loss_cls: 0.1752, acc: 93.7021, loss_bbox: 0.2122, loss_mask: 0.2206, loss: 0.6669 2023-11-14 17:19:09,777 - mmdet - INFO - Epoch [10][4850/7330] lr: 1.000e-04, eta: 13:55:26, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0352, loss_cls: 0.1776, acc: 93.6741, loss_bbox: 0.2182, loss_mask: 0.2274, loss: 0.6869 2023-11-14 17:19:22,849 - mmdet - INFO - Epoch [10][4900/7330] lr: 1.000e-04, eta: 13:55:13, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0350, loss_cls: 0.1811, acc: 93.4646, loss_bbox: 0.2250, loss_mask: 0.2188, loss: 0.6860 2023-11-14 17:19:35,527 - mmdet - INFO - Epoch [10][4950/7330] lr: 1.000e-04, eta: 13:55:00, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0333, loss_cls: 0.1772, acc: 93.6885, loss_bbox: 0.2134, loss_mask: 0.2223, loss: 0.6726 2023-11-14 17:19:48,011 - mmdet - INFO - Epoch [10][5000/7330] lr: 1.000e-04, eta: 13:54:45, time: 0.250, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0326, loss_cls: 0.1681, acc: 93.9194, loss_bbox: 0.2121, loss_mask: 0.2177, loss: 0.6555 2023-11-14 17:20:00,858 - mmdet - INFO - Epoch [10][5050/7330] lr: 1.000e-04, eta: 13:54:32, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0351, loss_cls: 0.1723, acc: 93.7202, loss_bbox: 0.2152, loss_mask: 0.2172, loss: 0.6672 2023-11-14 17:20:13,736 - mmdet - INFO - Epoch [10][5100/7330] lr: 1.000e-04, eta: 13:54:19, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0355, loss_cls: 0.1715, acc: 93.8435, loss_bbox: 0.2156, loss_mask: 0.2201, loss: 0.6701 2023-11-14 17:20:26,303 - mmdet - INFO - Epoch [10][5150/7330] lr: 1.000e-04, eta: 13:54:05, time: 0.251, data_time: 0.010, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0325, loss_cls: 0.1713, acc: 93.9387, loss_bbox: 0.2108, loss_mask: 0.2220, loss: 0.6614 2023-11-14 17:20:39,077 - mmdet - INFO - Epoch [10][5200/7330] lr: 1.000e-04, eta: 13:53:51, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0334, loss_cls: 0.1659, acc: 94.0486, loss_bbox: 0.2084, loss_mask: 0.2175, loss: 0.6509 2023-11-14 17:20:51,580 - mmdet - INFO - Epoch [10][5250/7330] lr: 1.000e-04, eta: 13:53:37, time: 0.250, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0328, loss_cls: 0.1696, acc: 93.8906, loss_bbox: 0.2155, loss_mask: 0.2222, loss: 0.6643 2023-11-14 17:21:04,076 - mmdet - INFO - Epoch [10][5300/7330] lr: 1.000e-04, eta: 13:53:22, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0336, loss_cls: 0.1742, acc: 93.8457, loss_bbox: 0.2174, loss_mask: 0.2282, loss: 0.6785 2023-11-14 17:21:16,842 - mmdet - INFO - Epoch [10][5350/7330] lr: 1.000e-04, eta: 13:53:09, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0370, loss_cls: 0.1853, acc: 93.2847, loss_bbox: 0.2292, loss_mask: 0.2300, loss: 0.7074 2023-11-14 17:21:29,591 - mmdet - INFO - Epoch [10][5400/7330] lr: 1.000e-04, eta: 13:52:55, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0338, loss_cls: 0.1736, acc: 93.7896, loss_bbox: 0.2185, loss_mask: 0.2204, loss: 0.6723 2023-11-14 17:21:42,551 - mmdet - INFO - Epoch [10][5450/7330] lr: 1.000e-04, eta: 13:52:42, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0341, loss_cls: 0.1767, acc: 93.6018, loss_bbox: 0.2188, loss_mask: 0.2223, loss: 0.6794 2023-11-14 17:21:55,626 - mmdet - INFO - Epoch [10][5500/7330] lr: 1.000e-04, eta: 13:52:30, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0367, loss_cls: 0.1782, acc: 93.4536, loss_bbox: 0.2241, loss_mask: 0.2285, loss: 0.6958 2023-11-14 17:22:08,236 - mmdet - INFO - Epoch [10][5550/7330] lr: 1.000e-04, eta: 13:52:16, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0363, loss_cls: 0.1821, acc: 93.5476, loss_bbox: 0.2233, loss_mask: 0.2289, loss: 0.6989 2023-11-14 17:22:21,451 - mmdet - INFO - Epoch [10][5600/7330] lr: 1.000e-04, eta: 13:52:03, time: 0.264, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0348, loss_cls: 0.1840, acc: 93.5886, loss_bbox: 0.2264, loss_mask: 0.2180, loss: 0.6902 2023-11-14 17:22:34,354 - mmdet - INFO - Epoch [10][5650/7330] lr: 1.000e-04, eta: 13:51:50, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0361, loss_cls: 0.1803, acc: 93.4958, loss_bbox: 0.2271, loss_mask: 0.2243, loss: 0.6958 2023-11-14 17:22:47,281 - mmdet - INFO - Epoch [10][5700/7330] lr: 1.000e-04, eta: 13:51:37, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0364, loss_cls: 0.1854, acc: 93.2324, loss_bbox: 0.2300, loss_mask: 0.2282, loss: 0.7071 2023-11-14 17:22:59,883 - mmdet - INFO - Epoch [10][5750/7330] lr: 1.000e-04, eta: 13:51:23, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0353, loss_cls: 0.1754, acc: 93.8184, loss_bbox: 0.2126, loss_mask: 0.2170, loss: 0.6672 2023-11-14 17:23:12,677 - mmdet - INFO - Epoch [10][5800/7330] lr: 1.000e-04, eta: 13:51:09, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0326, loss_cls: 0.1699, acc: 93.8584, loss_bbox: 0.2119, loss_mask: 0.2146, loss: 0.6544 2023-11-14 17:23:25,674 - mmdet - INFO - Epoch [10][5850/7330] lr: 1.000e-04, eta: 13:50:56, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0338, loss_cls: 0.1788, acc: 93.6399, loss_bbox: 0.2265, loss_mask: 0.2264, loss: 0.6931 2023-11-14 17:23:38,257 - mmdet - INFO - Epoch [10][5900/7330] lr: 1.000e-04, eta: 13:50:42, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0353, loss_cls: 0.1821, acc: 93.5117, loss_bbox: 0.2209, loss_mask: 0.2214, loss: 0.6864 2023-11-14 17:23:51,005 - mmdet - INFO - Epoch [10][5950/7330] lr: 1.000e-04, eta: 13:50:29, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0348, loss_cls: 0.1836, acc: 93.5669, loss_bbox: 0.2247, loss_mask: 0.2240, loss: 0.6937 2023-11-14 17:24:03,606 - mmdet - INFO - Epoch [10][6000/7330] lr: 1.000e-04, eta: 13:50:15, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0342, loss_cls: 0.1759, acc: 93.5674, loss_bbox: 0.2214, loss_mask: 0.2270, loss: 0.6838 2023-11-14 17:24:16,630 - mmdet - INFO - Epoch [10][6050/7330] lr: 1.000e-04, eta: 13:50:02, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0292, loss_rpn_bbox: 0.0374, loss_cls: 0.1901, acc: 93.2266, loss_bbox: 0.2315, loss_mask: 0.2304, loss: 0.7185 2023-11-14 17:24:29,756 - mmdet - INFO - Epoch [10][6100/7330] lr: 1.000e-04, eta: 13:49:49, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0346, loss_cls: 0.1825, acc: 93.4048, loss_bbox: 0.2261, loss_mask: 0.2281, loss: 0.6980 2023-11-14 17:24:42,469 - mmdet - INFO - Epoch [10][6150/7330] lr: 1.000e-04, eta: 13:49:36, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0351, loss_cls: 0.1719, acc: 93.7136, loss_bbox: 0.2166, loss_mask: 0.2225, loss: 0.6747 2023-11-14 17:24:55,065 - mmdet - INFO - Epoch [10][6200/7330] lr: 1.000e-04, eta: 13:49:22, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0324, loss_cls: 0.1705, acc: 93.8718, loss_bbox: 0.2127, loss_mask: 0.2230, loss: 0.6663 2023-11-14 17:25:07,876 - mmdet - INFO - Epoch [10][6250/7330] lr: 1.000e-04, eta: 13:49:08, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0346, loss_cls: 0.1728, acc: 93.7749, loss_bbox: 0.2168, loss_mask: 0.2275, loss: 0.6789 2023-11-14 17:25:20,438 - mmdet - INFO - Epoch [10][6300/7330] lr: 1.000e-04, eta: 13:48:54, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0321, loss_cls: 0.1679, acc: 93.9465, loss_bbox: 0.2123, loss_mask: 0.2206, loss: 0.6591 2023-11-14 17:25:33,193 - mmdet - INFO - Epoch [10][6350/7330] lr: 1.000e-04, eta: 13:48:41, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0321, loss_cls: 0.1703, acc: 93.9529, loss_bbox: 0.2097, loss_mask: 0.2209, loss: 0.6562 2023-11-14 17:25:46,133 - mmdet - INFO - Epoch [10][6400/7330] lr: 1.000e-04, eta: 13:48:28, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0321, loss_cls: 0.1671, acc: 94.0413, loss_bbox: 0.2073, loss_mask: 0.2129, loss: 0.6446 2023-11-14 17:25:58,846 - mmdet - INFO - Epoch [10][6450/7330] lr: 1.000e-04, eta: 13:48:14, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0342, loss_cls: 0.1818, acc: 93.5859, loss_bbox: 0.2214, loss_mask: 0.2265, loss: 0.6907 2023-11-14 17:26:11,323 - mmdet - INFO - Epoch [10][6500/7330] lr: 1.000e-04, eta: 13:48:00, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0366, loss_cls: 0.1824, acc: 93.4375, loss_bbox: 0.2249, loss_mask: 0.2264, loss: 0.6970 2023-11-14 17:26:24,207 - mmdet - INFO - Epoch [10][6550/7330] lr: 1.000e-04, eta: 13:47:46, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0280, loss_rpn_bbox: 0.0367, loss_cls: 0.1774, acc: 93.6592, loss_bbox: 0.2204, loss_mask: 0.2241, loss: 0.6867 2023-11-14 17:26:37,071 - mmdet - INFO - Epoch [10][6600/7330] lr: 1.000e-04, eta: 13:47:33, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0358, loss_cls: 0.1860, acc: 93.3337, loss_bbox: 0.2251, loss_mask: 0.2248, loss: 0.6982 2023-11-14 17:26:49,822 - mmdet - INFO - Epoch [10][6650/7330] lr: 1.000e-04, eta: 13:47:19, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0332, loss_cls: 0.1718, acc: 93.8435, loss_bbox: 0.2130, loss_mask: 0.2217, loss: 0.6654 2023-11-14 17:27:02,684 - mmdet - INFO - Epoch [10][6700/7330] lr: 1.000e-04, eta: 13:47:06, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0332, loss_cls: 0.1736, acc: 93.7195, loss_bbox: 0.2133, loss_mask: 0.2174, loss: 0.6651 2023-11-14 17:27:15,355 - mmdet - INFO - Epoch [10][6750/7330] lr: 1.000e-04, eta: 13:46:52, time: 0.253, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0337, loss_cls: 0.1782, acc: 93.6499, loss_bbox: 0.2175, loss_mask: 0.2179, loss: 0.6744 2023-11-14 17:27:28,308 - mmdet - INFO - Epoch [10][6800/7330] lr: 1.000e-04, eta: 13:46:39, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0341, loss_cls: 0.1829, acc: 93.4363, loss_bbox: 0.2256, loss_mask: 0.2232, loss: 0.6926 2023-11-14 17:27:40,914 - mmdet - INFO - Epoch [10][6850/7330] lr: 1.000e-04, eta: 13:46:25, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0330, loss_cls: 0.1737, acc: 93.8647, loss_bbox: 0.2122, loss_mask: 0.2160, loss: 0.6610 2023-11-14 17:27:53,779 - mmdet - INFO - Epoch [10][6900/7330] lr: 1.000e-04, eta: 13:46:12, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0340, loss_cls: 0.1797, acc: 93.5979, loss_bbox: 0.2187, loss_mask: 0.2241, loss: 0.6822 2023-11-14 17:28:06,879 - mmdet - INFO - Epoch [10][6950/7330] lr: 1.000e-04, eta: 13:46:00, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0369, loss_cls: 0.1828, acc: 93.3945, loss_bbox: 0.2296, loss_mask: 0.2219, loss: 0.6987 2023-11-14 17:28:20,270 - mmdet - INFO - Epoch [10][7000/7330] lr: 1.000e-04, eta: 13:45:48, time: 0.268, data_time: 0.025, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0356, loss_cls: 0.1821, acc: 93.4580, loss_bbox: 0.2261, loss_mask: 0.2201, loss: 0.6910 2023-11-14 17:28:35,496 - mmdet - INFO - Epoch [10][7050/7330] lr: 1.000e-04, eta: 13:45:41, time: 0.305, data_time: 0.061, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0362, loss_cls: 0.1795, acc: 93.4434, loss_bbox: 0.2281, loss_mask: 0.2239, loss: 0.6951 2023-11-14 17:28:48,216 - mmdet - INFO - Epoch [10][7100/7330] lr: 1.000e-04, eta: 13:45:27, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0347, loss_cls: 0.1775, acc: 93.6387, loss_bbox: 0.2220, loss_mask: 0.2249, loss: 0.6872 2023-11-14 17:29:01,358 - mmdet - INFO - Epoch [10][7150/7330] lr: 1.000e-04, eta: 13:45:14, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0331, loss_cls: 0.1777, acc: 93.7542, loss_bbox: 0.2151, loss_mask: 0.2261, loss: 0.6787 2023-11-14 17:29:14,203 - mmdet - INFO - Epoch [10][7200/7330] lr: 1.000e-04, eta: 13:45:01, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0348, loss_cls: 0.1750, acc: 93.6897, loss_bbox: 0.2218, loss_mask: 0.2224, loss: 0.6807 2023-11-14 17:29:27,094 - mmdet - INFO - Epoch [10][7250/7330] lr: 1.000e-04, eta: 13:44:48, time: 0.258, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0321, loss_cls: 0.1731, acc: 93.7979, loss_bbox: 0.2130, loss_mask: 0.2162, loss: 0.6587 2023-11-14 17:29:39,946 - mmdet - INFO - Epoch [10][7300/7330] lr: 1.000e-04, eta: 13:44:34, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0340, loss_cls: 0.1783, acc: 93.6418, loss_bbox: 0.2186, loss_mask: 0.2274, loss: 0.6830 2023-11-14 17:29:48,172 - mmdet - INFO - Saving checkpoint at 10 epochs 2023-11-14 17:30:32,998 - mmdet - INFO - Evaluating bbox... 2023-11-14 17:31:03,337 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.458 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.684 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.507 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.299 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 ] = 0.587 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 ] = 0.426 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 ] = 0.722 2023-11-14 17:31:03,339 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.569 | bicycle | 0.365 | car | 0.481 | | motorcycle | 0.460 | airplane | 0.681 | bus | 0.671 | | train | 0.647 | truck | 0.394 | boat | 0.315 | | traffic light | 0.306 | fire hydrant | 0.701 | stop sign | 0.674 | | parking meter | 0.497 | bench | 0.288 | bird | 0.412 | | cat | 0.706 | dog | 0.674 | horse | 0.599 | | sheep | 0.583 | cow | 0.606 | elephant | 0.656 | | bear | 0.712 | zebra | 0.674 | giraffe | 0.674 | | backpack | 0.211 | umbrella | 0.425 | handbag | 0.199 | | tie | 0.349 | suitcase | 0.439 | frisbee | 0.677 | | skis | 0.250 | snowboard | 0.416 | sports ball | 0.475 | | kite | 0.444 | baseball bat | 0.381 | baseball glove | 0.402 | | skateboard | 0.569 | surfboard | 0.442 | tennis racket | 0.537 | | bottle | 0.431 | wine glass | 0.415 | cup | 0.475 | | fork | 0.424 | knife | 0.251 | spoon | 0.238 | | bowl | 0.442 | banana | 0.289 | apple | 0.234 | | sandwich | 0.406 | orange | 0.349 | broccoli | 0.255 | | carrot | 0.234 | hot dog | 0.440 | pizza | 0.515 | | donut | 0.538 | cake | 0.403 | chair | 0.349 | | couch | 0.467 | potted plant | 0.340 | bed | 0.454 | | dining table | 0.292 | toilet | 0.630 | tv | 0.611 | | laptop | 0.661 | mouse | 0.622 | remote | 0.402 | | keyboard | 0.535 | cell phone | 0.425 | microwave | 0.604 | | oven | 0.400 | toaster | 0.412 | sink | 0.437 | | refrigerator | 0.617 | book | 0.169 | clock | 0.517 | | vase | 0.429 | scissors | 0.384 | teddy bear | 0.493 | | hair drier | 0.154 | toothbrush | 0.323 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 17:31:03,339 - mmdet - INFO - Evaluating segm... 2023-11-14 17:31:39,761 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.412 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.649 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.441 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.218 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 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.537 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.537 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.537 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.361 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 ] = 0.688 2023-11-14 17:31:39,763 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.495 | bicycle | 0.227 | car | 0.439 | | motorcycle | 0.365 | airplane | 0.510 | bus | 0.665 | | train | 0.640 | truck | 0.389 | boat | 0.280 | | traffic light | 0.289 | fire hydrant | 0.672 | stop sign | 0.669 | | parking meter | 0.523 | bench | 0.214 | bird | 0.323 | | cat | 0.705 | dog | 0.632 | horse | 0.430 | | sheep | 0.518 | cow | 0.515 | elephant | 0.598 | | bear | 0.705 | zebra | 0.573 | giraffe | 0.522 | | backpack | 0.212 | umbrella | 0.488 | handbag | 0.198 | | tie | 0.321 | suitcase | 0.464 | frisbee | 0.637 | | skis | 0.048 | snowboard | 0.261 | sports ball | 0.451 | | kite | 0.304 | baseball bat | 0.273 | baseball glove | 0.435 | | skateboard | 0.334 | surfboard | 0.365 | tennis racket | 0.582 | | bottle | 0.414 | wine glass | 0.358 | cup | 0.473 | | fork | 0.222 | knife | 0.163 | spoon | 0.170 | | bowl | 0.426 | banana | 0.232 | apple | 0.229 | | sandwich | 0.427 | orange | 0.348 | broccoli | 0.238 | | carrot | 0.201 | hot dog | 0.336 | pizza | 0.498 | | donut | 0.553 | cake | 0.424 | chair | 0.245 | | couch | 0.403 | potted plant | 0.286 | bed | 0.354 | | dining table | 0.173 | toilet | 0.608 | tv | 0.640 | | laptop | 0.665 | mouse | 0.640 | remote | 0.361 | | keyboard | 0.527 | cell phone | 0.390 | microwave | 0.632 | | oven | 0.374 | toaster | 0.454 | sink | 0.420 | | refrigerator | 0.634 | book | 0.125 | clock | 0.518 | | vase | 0.422 | scissors | 0.280 | teddy bear | 0.499 | | hair drier | 0.155 | toothbrush | 0.192 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 17:31:40,198 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 17:31:40,200 - mmdet - INFO - Epoch(val) [10][625] bbox_mAP: 0.4579, bbox_mAP_50: 0.6840, bbox_mAP_75: 0.5067, bbox_mAP_s: 0.2990, bbox_mAP_m: 0.5012, bbox_mAP_l: 0.5867, bbox_mAP_copypaste: 0.4579 0.6840 0.5067 0.2990 0.5012 0.5867, segm_mAP: 0.4122, segm_mAP_50: 0.6494, segm_mAP_75: 0.4410, segm_mAP_s: 0.2176, segm_mAP_m: 0.4505, segm_mAP_l: 0.5924, segm_mAP_copypaste: 0.4122 0.6494 0.4410 0.2176 0.4505 0.5924 2023-11-14 17:31:56,376 - mmdet - INFO - Epoch [11][50/7330] lr: 1.000e-04, eta: 13:44:02, time: 0.323, data_time: 0.075, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0358, loss_cls: 0.1703, acc: 93.8254, loss_bbox: 0.2163, loss_mask: 0.2183, loss: 0.6669 2023-11-14 17:32:09,629 - mmdet - INFO - Epoch [11][100/7330] lr: 1.000e-04, eta: 13:43:50, time: 0.265, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0338, loss_cls: 0.1674, acc: 93.9304, loss_bbox: 0.2126, loss_mask: 0.2170, loss: 0.6563 2023-11-14 17:32:22,720 - mmdet - INFO - Epoch [11][150/7330] lr: 1.000e-04, eta: 13:43:37, time: 0.262, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0373, loss_cls: 0.1813, acc: 93.4475, loss_bbox: 0.2268, loss_mask: 0.2151, loss: 0.6877 2023-11-14 17:32:35,766 - mmdet - INFO - Epoch [11][200/7330] lr: 1.000e-04, eta: 13:43:24, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0351, loss_cls: 0.1747, acc: 93.5938, loss_bbox: 0.2191, loss_mask: 0.2215, loss: 0.6755 2023-11-14 17:32:48,562 - mmdet - INFO - Epoch [11][250/7330] lr: 1.000e-04, eta: 13:43:11, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0370, loss_cls: 0.1777, acc: 93.5627, loss_bbox: 0.2277, loss_mask: 0.2245, loss: 0.6947 2023-11-14 17:33:01,539 - mmdet - INFO - Epoch [11][300/7330] lr: 1.000e-04, eta: 13:42:58, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0333, loss_cls: 0.1646, acc: 93.9829, loss_bbox: 0.2092, loss_mask: 0.2137, loss: 0.6456 2023-11-14 17:33:14,444 - mmdet - INFO - Epoch [11][350/7330] lr: 1.000e-04, eta: 13:42:44, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0311, loss_cls: 0.1665, acc: 94.0000, loss_bbox: 0.2124, loss_mask: 0.2137, loss: 0.6466 2023-11-14 17:33:27,241 - mmdet - INFO - Epoch [11][400/7330] lr: 1.000e-04, eta: 13:42:31, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0319, loss_cls: 0.1662, acc: 93.9480, loss_bbox: 0.2107, loss_mask: 0.2204, loss: 0.6540 2023-11-14 17:33:40,172 - mmdet - INFO - Epoch [11][450/7330] lr: 1.000e-04, eta: 13:42:18, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0341, loss_cls: 0.1755, acc: 93.6538, loss_bbox: 0.2216, loss_mask: 0.2187, loss: 0.6744 2023-11-14 17:33:53,088 - mmdet - INFO - Epoch [11][500/7330] lr: 1.000e-04, eta: 13:42:05, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0331, loss_cls: 0.1681, acc: 93.9880, loss_bbox: 0.2142, loss_mask: 0.2177, loss: 0.6604 2023-11-14 17:34:05,952 - mmdet - INFO - Epoch [11][550/7330] lr: 1.000e-04, eta: 13:41:52, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0357, loss_cls: 0.1723, acc: 93.7695, loss_bbox: 0.2194, loss_mask: 0.2189, loss: 0.6720 2023-11-14 17:34:18,737 - mmdet - INFO - Epoch [11][600/7330] lr: 1.000e-04, eta: 13:41:38, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0319, loss_cls: 0.1671, acc: 93.8867, loss_bbox: 0.2156, loss_mask: 0.2178, loss: 0.6578 2023-11-14 17:34:31,386 - mmdet - INFO - Epoch [11][650/7330] lr: 1.000e-04, eta: 13:41:24, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0344, loss_cls: 0.1749, acc: 93.6873, loss_bbox: 0.2184, loss_mask: 0.2181, loss: 0.6715 2023-11-14 17:34:44,047 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 17:34:44,047 - mmdet - INFO - Epoch [11][700/7330] lr: 1.000e-04, eta: 13:41:10, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0346, loss_cls: 0.1715, acc: 93.8423, loss_bbox: 0.2147, loss_mask: 0.2198, loss: 0.6660 2023-11-14 17:34:56,590 - mmdet - INFO - Epoch [11][750/7330] lr: 1.000e-04, eta: 13:40:56, time: 0.251, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0332, loss_cls: 0.1760, acc: 93.7410, loss_bbox: 0.2162, loss_mask: 0.2201, loss: 0.6720 2023-11-14 17:35:09,111 - mmdet - INFO - Epoch [11][800/7330] lr: 1.000e-04, eta: 13:40:42, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0332, loss_cls: 0.1739, acc: 93.7849, loss_bbox: 0.2158, loss_mask: 0.2152, loss: 0.6629 2023-11-14 17:35:21,917 - mmdet - INFO - Epoch [11][850/7330] lr: 1.000e-04, eta: 13:40:29, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0340, loss_cls: 0.1662, acc: 93.8748, loss_bbox: 0.2120, loss_mask: 0.2173, loss: 0.6542 2023-11-14 17:35:34,711 - mmdet - INFO - Epoch [11][900/7330] lr: 1.000e-04, eta: 13:40:15, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0314, loss_cls: 0.1617, acc: 94.0701, loss_bbox: 0.2135, loss_mask: 0.2166, loss: 0.6462 2023-11-14 17:35:47,570 - mmdet - INFO - Epoch [11][950/7330] lr: 1.000e-04, eta: 13:40:02, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0374, loss_cls: 0.1866, acc: 93.2576, loss_bbox: 0.2321, loss_mask: 0.2313, loss: 0.7149 2023-11-14 17:36:00,711 - mmdet - INFO - Epoch [11][1000/7330] lr: 1.000e-04, eta: 13:39:50, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0351, loss_cls: 0.1768, acc: 93.5732, loss_bbox: 0.2191, loss_mask: 0.2194, loss: 0.6784 2023-11-14 17:36:13,550 - mmdet - INFO - Epoch [11][1050/7330] lr: 1.000e-04, eta: 13:39:36, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0320, loss_cls: 0.1675, acc: 93.9502, loss_bbox: 0.2094, loss_mask: 0.2183, loss: 0.6508 2023-11-14 17:36:26,473 - mmdet - INFO - Epoch [11][1100/7330] lr: 1.000e-04, eta: 13:39:23, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0319, loss_cls: 0.1700, acc: 93.9104, loss_bbox: 0.2123, loss_mask: 0.2147, loss: 0.6524 2023-11-14 17:36:39,288 - mmdet - INFO - Epoch [11][1150/7330] lr: 1.000e-04, eta: 13:39:10, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0352, loss_cls: 0.1790, acc: 93.5266, loss_bbox: 0.2244, loss_mask: 0.2290, loss: 0.6927 2023-11-14 17:36:51,928 - mmdet - INFO - Epoch [11][1200/7330] lr: 1.000e-04, eta: 13:38:56, time: 0.253, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0348, loss_cls: 0.1728, acc: 93.6545, loss_bbox: 0.2171, loss_mask: 0.2209, loss: 0.6706 2023-11-14 17:37:04,767 - mmdet - INFO - Epoch [11][1250/7330] lr: 1.000e-04, eta: 13:38:43, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0354, loss_cls: 0.1685, acc: 93.8188, loss_bbox: 0.2175, loss_mask: 0.2177, loss: 0.6646 2023-11-14 17:37:17,846 - mmdet - INFO - Epoch [11][1300/7330] lr: 1.000e-04, eta: 13:38:30, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0353, loss_cls: 0.1790, acc: 93.4353, loss_bbox: 0.2218, loss_mask: 0.2182, loss: 0.6779 2023-11-14 17:37:30,618 - mmdet - INFO - Epoch [11][1350/7330] lr: 1.000e-04, eta: 13:38:17, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0346, loss_cls: 0.1764, acc: 93.5769, loss_bbox: 0.2192, loss_mask: 0.2197, loss: 0.6744 2023-11-14 17:37:43,823 - mmdet - INFO - Epoch [11][1400/7330] lr: 1.000e-04, eta: 13:38:04, time: 0.264, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0337, loss_cls: 0.1749, acc: 93.6577, loss_bbox: 0.2176, loss_mask: 0.2206, loss: 0.6720 2023-11-14 17:37:56,483 - mmdet - INFO - Epoch [11][1450/7330] lr: 1.000e-04, eta: 13:37:50, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0342, loss_cls: 0.1805, acc: 93.4448, loss_bbox: 0.2238, loss_mask: 0.2202, loss: 0.6835 2023-11-14 17:38:09,295 - mmdet - INFO - Epoch [11][1500/7330] lr: 1.000e-04, eta: 13:37:37, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0351, loss_cls: 0.1834, acc: 93.4890, loss_bbox: 0.2234, loss_mask: 0.2250, loss: 0.6946 2023-11-14 17:38:21,927 - mmdet - INFO - Epoch [11][1550/7330] lr: 1.000e-04, eta: 13:37:23, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0314, loss_cls: 0.1721, acc: 93.7253, loss_bbox: 0.2158, loss_mask: 0.2196, loss: 0.6607 2023-11-14 17:38:34,758 - mmdet - INFO - Epoch [11][1600/7330] lr: 1.000e-04, eta: 13:37:10, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0336, loss_cls: 0.1765, acc: 93.6160, loss_bbox: 0.2217, loss_mask: 0.2183, loss: 0.6743 2023-11-14 17:38:47,605 - mmdet - INFO - Epoch [11][1650/7330] lr: 1.000e-04, eta: 13:36:57, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0347, loss_cls: 0.1753, acc: 93.7195, loss_bbox: 0.2163, loss_mask: 0.2204, loss: 0.6741 2023-11-14 17:39:00,622 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 17:39:00,622 - mmdet - INFO - Epoch [11][1700/7330] lr: 1.000e-04, eta: 13:36:44, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0329, loss_cls: 0.1738, acc: 93.7163, loss_bbox: 0.2172, loss_mask: 0.2249, loss: 0.6740 2023-11-14 17:39:13,727 - mmdet - INFO - Epoch [11][1750/7330] lr: 1.000e-04, eta: 13:36:31, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0360, loss_cls: 0.1827, acc: 93.4492, loss_bbox: 0.2223, loss_mask: 0.2247, loss: 0.6925 2023-11-14 17:39:26,350 - mmdet - INFO - Epoch [11][1800/7330] lr: 1.000e-04, eta: 13:36:17, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0333, loss_cls: 0.1700, acc: 93.9702, loss_bbox: 0.2115, loss_mask: 0.2199, loss: 0.6602 2023-11-14 17:39:39,340 - mmdet - INFO - Epoch [11][1850/7330] lr: 1.000e-04, eta: 13:36:04, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0325, loss_cls: 0.1677, acc: 93.8440, loss_bbox: 0.2138, loss_mask: 0.2155, loss: 0.6536 2023-11-14 17:39:52,386 - mmdet - INFO - Epoch [11][1900/7330] lr: 1.000e-04, eta: 13:35:51, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0350, loss_cls: 0.1748, acc: 93.6648, loss_bbox: 0.2237, loss_mask: 0.2219, loss: 0.6807 2023-11-14 17:40:05,377 - mmdet - INFO - Epoch [11][1950/7330] lr: 1.000e-04, eta: 13:35:39, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0336, loss_cls: 0.1633, acc: 94.0198, loss_bbox: 0.2120, loss_mask: 0.2198, loss: 0.6543 2023-11-14 17:40:18,285 - mmdet - INFO - Epoch [11][2000/7330] lr: 1.000e-04, eta: 13:35:25, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0359, loss_cls: 0.1761, acc: 93.6777, loss_bbox: 0.2233, loss_mask: 0.2262, loss: 0.6886 2023-11-14 17:40:31,085 - mmdet - INFO - Epoch [11][2050/7330] lr: 1.000e-04, eta: 13:35:12, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0352, loss_cls: 0.1779, acc: 93.6165, loss_bbox: 0.2211, loss_mask: 0.2269, loss: 0.6868 2023-11-14 17:40:44,000 - mmdet - INFO - Epoch [11][2100/7330] lr: 1.000e-04, eta: 13:34:59, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0338, loss_cls: 0.1748, acc: 93.7544, loss_bbox: 0.2184, loss_mask: 0.2241, loss: 0.6767 2023-11-14 17:40:56,825 - mmdet - INFO - Epoch [11][2150/7330] lr: 1.000e-04, eta: 13:34:46, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0321, loss_cls: 0.1719, acc: 93.8699, loss_bbox: 0.2162, loss_mask: 0.2194, loss: 0.6621 2023-11-14 17:41:09,605 - mmdet - INFO - Epoch [11][2200/7330] lr: 1.000e-04, eta: 13:34:32, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0354, loss_cls: 0.1716, acc: 93.8428, loss_bbox: 0.2158, loss_mask: 0.2180, loss: 0.6667 2023-11-14 17:41:22,670 - mmdet - INFO - Epoch [11][2250/7330] lr: 1.000e-04, eta: 13:34:19, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0336, loss_cls: 0.1703, acc: 93.8682, loss_bbox: 0.2138, loss_mask: 0.2192, loss: 0.6624 2023-11-14 17:41:35,447 - mmdet - INFO - Epoch [11][2300/7330] lr: 1.000e-04, eta: 13:34:06, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0336, loss_cls: 0.1711, acc: 93.8127, loss_bbox: 0.2158, loss_mask: 0.2230, loss: 0.6682 2023-11-14 17:41:48,343 - mmdet - INFO - Epoch [11][2350/7330] lr: 1.000e-04, eta: 13:33:53, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0347, loss_cls: 0.1705, acc: 93.8826, loss_bbox: 0.2142, loss_mask: 0.2201, loss: 0.6656 2023-11-14 17:42:01,137 - mmdet - INFO - Epoch [11][2400/7330] lr: 1.000e-04, eta: 13:33:39, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0336, loss_cls: 0.1750, acc: 93.5894, loss_bbox: 0.2236, loss_mask: 0.2205, loss: 0.6789 2023-11-14 17:42:14,043 - mmdet - INFO - Epoch [11][2450/7330] lr: 1.000e-04, eta: 13:33:26, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0362, loss_cls: 0.1816, acc: 93.3623, loss_bbox: 0.2283, loss_mask: 0.2261, loss: 0.6998 2023-11-14 17:42:26,856 - mmdet - INFO - Epoch [11][2500/7330] lr: 1.000e-04, eta: 13:33:13, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0361, loss_cls: 0.1802, acc: 93.4880, loss_bbox: 0.2240, loss_mask: 0.2246, loss: 0.6911 2023-11-14 17:42:39,331 - mmdet - INFO - Epoch [11][2550/7330] lr: 1.000e-04, eta: 13:32:59, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0283, loss_rpn_bbox: 0.0360, loss_cls: 0.1778, acc: 93.6111, loss_bbox: 0.2188, loss_mask: 0.2186, loss: 0.6796 2023-11-14 17:42:52,154 - mmdet - INFO - Epoch [11][2600/7330] lr: 1.000e-04, eta: 13:32:45, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0367, loss_cls: 0.1802, acc: 93.4407, loss_bbox: 0.2263, loss_mask: 0.2260, loss: 0.6970 2023-11-14 17:43:05,237 - mmdet - INFO - Epoch [11][2650/7330] lr: 1.000e-04, eta: 13:32:33, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0333, loss_cls: 0.1691, acc: 93.9116, loss_bbox: 0.2140, loss_mask: 0.2185, loss: 0.6598 2023-11-14 17:43:18,307 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 17:43:18,307 - mmdet - INFO - Epoch [11][2700/7330] lr: 1.000e-04, eta: 13:32:20, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0331, loss_cls: 0.1700, acc: 93.8340, loss_bbox: 0.2149, loss_mask: 0.2225, loss: 0.6651 2023-11-14 17:43:31,175 - mmdet - INFO - Epoch [11][2750/7330] lr: 1.000e-04, eta: 13:32:07, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0308, loss_cls: 0.1595, acc: 94.3323, loss_bbox: 0.2015, loss_mask: 0.2190, loss: 0.6338 2023-11-14 17:43:43,742 - mmdet - INFO - Epoch [11][2800/7330] lr: 1.000e-04, eta: 13:31:53, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0319, loss_cls: 0.1682, acc: 93.9705, loss_bbox: 0.2129, loss_mask: 0.2179, loss: 0.6559 2023-11-14 17:43:56,778 - mmdet - INFO - Epoch [11][2850/7330] lr: 1.000e-04, eta: 13:31:40, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0360, loss_cls: 0.1824, acc: 93.4221, loss_bbox: 0.2247, loss_mask: 0.2263, loss: 0.6958 2023-11-14 17:44:09,490 - mmdet - INFO - Epoch [11][2900/7330] lr: 1.000e-04, eta: 13:31:26, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0325, loss_cls: 0.1660, acc: 94.0657, loss_bbox: 0.2066, loss_mask: 0.2206, loss: 0.6512 2023-11-14 17:44:22,552 - mmdet - INFO - Epoch [11][2950/7330] lr: 1.000e-04, eta: 13:31:13, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0333, loss_cls: 0.1647, acc: 93.9565, loss_bbox: 0.2134, loss_mask: 0.2141, loss: 0.6507 2023-11-14 17:44:35,505 - mmdet - INFO - Epoch [11][3000/7330] lr: 1.000e-04, eta: 13:31:00, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0352, loss_cls: 0.1789, acc: 93.6272, loss_bbox: 0.2162, loss_mask: 0.2268, loss: 0.6823 2023-11-14 17:44:48,196 - mmdet - INFO - Epoch [11][3050/7330] lr: 1.000e-04, eta: 13:30:47, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0352, loss_cls: 0.1797, acc: 93.6047, loss_bbox: 0.2190, loss_mask: 0.2221, loss: 0.6831 2023-11-14 17:45:01,029 - mmdet - INFO - Epoch [11][3100/7330] lr: 1.000e-04, eta: 13:30:33, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0345, loss_cls: 0.1818, acc: 93.5974, loss_bbox: 0.2176, loss_mask: 0.2187, loss: 0.6802 2023-11-14 17:45:13,928 - mmdet - INFO - Epoch [11][3150/7330] lr: 1.000e-04, eta: 13:30:20, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0349, loss_cls: 0.1816, acc: 93.4734, loss_bbox: 0.2255, loss_mask: 0.2285, loss: 0.6983 2023-11-14 17:45:26,840 - mmdet - INFO - Epoch [11][3200/7330] lr: 1.000e-04, eta: 13:30:07, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0341, loss_cls: 0.1771, acc: 93.5198, loss_bbox: 0.2211, loss_mask: 0.2206, loss: 0.6776 2023-11-14 17:45:39,757 - mmdet - INFO - Epoch [11][3250/7330] lr: 1.000e-04, eta: 13:29:54, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0293, loss_rpn_bbox: 0.0368, loss_cls: 0.1815, acc: 93.5342, loss_bbox: 0.2213, loss_mask: 0.2251, loss: 0.6941 2023-11-14 17:45:52,675 - mmdet - INFO - Epoch [11][3300/7330] lr: 1.000e-04, eta: 13:29:41, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0348, loss_cls: 0.1746, acc: 93.7607, loss_bbox: 0.2120, loss_mask: 0.2145, loss: 0.6607 2023-11-14 17:46:05,493 - mmdet - INFO - Epoch [11][3350/7330] lr: 1.000e-04, eta: 13:29:28, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0356, loss_cls: 0.1768, acc: 93.6194, loss_bbox: 0.2201, loss_mask: 0.2276, loss: 0.6873 2023-11-14 17:46:18,247 - mmdet - INFO - Epoch [11][3400/7330] lr: 1.000e-04, eta: 13:29:14, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0332, loss_cls: 0.1703, acc: 93.7764, loss_bbox: 0.2132, loss_mask: 0.2183, loss: 0.6617 2023-11-14 17:46:31,258 - mmdet - INFO - Epoch [11][3450/7330] lr: 1.000e-04, eta: 13:29:01, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0350, loss_cls: 0.1811, acc: 93.5139, loss_bbox: 0.2225, loss_mask: 0.2233, loss: 0.6875 2023-11-14 17:46:44,090 - mmdet - INFO - Epoch [11][3500/7330] lr: 1.000e-04, eta: 13:28:48, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0325, loss_cls: 0.1737, acc: 93.8318, loss_bbox: 0.2126, loss_mask: 0.2148, loss: 0.6597 2023-11-14 17:46:57,204 - mmdet - INFO - Epoch [11][3550/7330] lr: 1.000e-04, eta: 13:28:35, time: 0.262, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0340, loss_cls: 0.1788, acc: 93.5754, loss_bbox: 0.2228, loss_mask: 0.2207, loss: 0.6830 2023-11-14 17:47:09,984 - mmdet - INFO - Epoch [11][3600/7330] lr: 1.000e-04, eta: 13:28:22, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0336, loss_cls: 0.1794, acc: 93.5076, loss_bbox: 0.2232, loss_mask: 0.2260, loss: 0.6872 2023-11-14 17:47:22,517 - mmdet - INFO - Epoch [11][3650/7330] lr: 1.000e-04, eta: 13:28:08, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0336, loss_cls: 0.1758, acc: 93.7163, loss_bbox: 0.2163, loss_mask: 0.2190, loss: 0.6722 2023-11-14 17:47:35,387 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 17:47:35,387 - mmdet - INFO - Epoch [11][3700/7330] lr: 1.000e-04, eta: 13:27:55, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0324, loss_cls: 0.1737, acc: 93.8215, loss_bbox: 0.2118, loss_mask: 0.2166, loss: 0.6588 2023-11-14 17:47:48,333 - mmdet - INFO - Epoch [11][3750/7330] lr: 1.000e-04, eta: 13:27:42, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0327, loss_cls: 0.1739, acc: 93.7068, loss_bbox: 0.2139, loss_mask: 0.2167, loss: 0.6627 2023-11-14 17:48:01,046 - mmdet - INFO - Epoch [11][3800/7330] lr: 1.000e-04, eta: 13:27:28, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0329, loss_cls: 0.1662, acc: 94.0312, loss_bbox: 0.2101, loss_mask: 0.2243, loss: 0.6584 2023-11-14 17:48:13,752 - mmdet - INFO - Epoch [11][3850/7330] lr: 1.000e-04, eta: 13:27:14, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0328, loss_cls: 0.1701, acc: 93.9070, loss_bbox: 0.2099, loss_mask: 0.2211, loss: 0.6598 2023-11-14 17:48:26,439 - mmdet - INFO - Epoch [11][3900/7330] lr: 1.000e-04, eta: 13:27:01, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0343, loss_cls: 0.1771, acc: 93.6123, loss_bbox: 0.2177, loss_mask: 0.2211, loss: 0.6765 2023-11-14 17:48:39,114 - mmdet - INFO - Epoch [11][3950/7330] lr: 1.000e-04, eta: 13:26:47, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0343, loss_cls: 0.1718, acc: 93.7854, loss_bbox: 0.2197, loss_mask: 0.2207, loss: 0.6741 2023-11-14 17:48:51,895 - mmdet - INFO - Epoch [11][4000/7330] lr: 1.000e-04, eta: 13:26:34, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0356, loss_cls: 0.1765, acc: 93.6868, loss_bbox: 0.2196, loss_mask: 0.2200, loss: 0.6786 2023-11-14 17:49:05,776 - mmdet - INFO - Epoch [11][4050/7330] lr: 1.000e-04, eta: 13:26:23, time: 0.278, data_time: 0.037, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0335, loss_cls: 0.1678, acc: 93.9587, loss_bbox: 0.2075, loss_mask: 0.2174, loss: 0.6525 2023-11-14 17:49:18,385 - mmdet - INFO - Epoch [11][4100/7330] lr: 1.000e-04, eta: 13:26:09, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0347, loss_cls: 0.1814, acc: 93.4929, loss_bbox: 0.2169, loss_mask: 0.2187, loss: 0.6797 2023-11-14 17:49:31,151 - mmdet - INFO - Epoch [11][4150/7330] lr: 1.000e-04, eta: 13:25:56, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0336, loss_cls: 0.1665, acc: 93.9644, loss_bbox: 0.2112, loss_mask: 0.2103, loss: 0.6471 2023-11-14 17:49:43,703 - mmdet - INFO - Epoch [11][4200/7330] lr: 1.000e-04, eta: 13:25:42, time: 0.251, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0323, loss_cls: 0.1632, acc: 94.1211, loss_bbox: 0.2033, loss_mask: 0.2172, loss: 0.6403 2023-11-14 17:49:56,740 - mmdet - INFO - Epoch [11][4250/7330] lr: 1.000e-04, eta: 13:25:29, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0363, loss_cls: 0.1762, acc: 93.6360, loss_bbox: 0.2218, loss_mask: 0.2190, loss: 0.6823 2023-11-14 17:50:09,315 - mmdet - INFO - Epoch [11][4300/7330] lr: 1.000e-04, eta: 13:25:15, time: 0.251, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0333, loss_cls: 0.1707, acc: 93.8652, loss_bbox: 0.2136, loss_mask: 0.2200, loss: 0.6639 2023-11-14 17:50:22,100 - mmdet - INFO - Epoch [11][4350/7330] lr: 1.000e-04, eta: 13:25:02, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0345, loss_cls: 0.1710, acc: 93.9622, loss_bbox: 0.2118, loss_mask: 0.2231, loss: 0.6653 2023-11-14 17:50:34,885 - mmdet - INFO - Epoch [11][4400/7330] lr: 1.000e-04, eta: 13:24:48, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0345, loss_cls: 0.1754, acc: 93.8167, loss_bbox: 0.2160, loss_mask: 0.2201, loss: 0.6721 2023-11-14 17:50:47,924 - mmdet - INFO - Epoch [11][4450/7330] lr: 1.000e-04, eta: 13:24:35, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0367, loss_cls: 0.1777, acc: 93.5039, loss_bbox: 0.2199, loss_mask: 0.2207, loss: 0.6812 2023-11-14 17:51:00,709 - mmdet - INFO - Epoch [11][4500/7330] lr: 1.000e-04, eta: 13:24:22, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0317, loss_cls: 0.1675, acc: 93.9343, loss_bbox: 0.2103, loss_mask: 0.2115, loss: 0.6444 2023-11-14 17:51:13,704 - mmdet - INFO - Epoch [11][4550/7330] lr: 1.000e-04, eta: 13:24:09, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0342, loss_cls: 0.1702, acc: 93.8721, loss_bbox: 0.2083, loss_mask: 0.2176, loss: 0.6562 2023-11-14 17:51:26,462 - mmdet - INFO - Epoch [11][4600/7330] lr: 1.000e-04, eta: 13:23:56, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0332, loss_cls: 0.1727, acc: 93.9172, loss_bbox: 0.2122, loss_mask: 0.2247, loss: 0.6698 2023-11-14 17:51:39,173 - mmdet - INFO - Epoch [11][4650/7330] lr: 1.000e-04, eta: 13:23:42, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0327, loss_cls: 0.1715, acc: 93.8030, loss_bbox: 0.2141, loss_mask: 0.2187, loss: 0.6604 2023-11-14 17:51:51,932 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 17:51:51,932 - mmdet - INFO - Epoch [11][4700/7330] lr: 1.000e-04, eta: 13:23:29, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0327, loss_cls: 0.1708, acc: 93.7444, loss_bbox: 0.2148, loss_mask: 0.2187, loss: 0.6629 2023-11-14 17:52:04,567 - mmdet - INFO - Epoch [11][4750/7330] lr: 1.000e-04, eta: 13:23:15, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0329, loss_cls: 0.1634, acc: 94.0413, loss_bbox: 0.2095, loss_mask: 0.2188, loss: 0.6487 2023-11-14 17:52:17,195 - mmdet - INFO - Epoch [11][4800/7330] lr: 1.000e-04, eta: 13:23:01, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0366, loss_cls: 0.1855, acc: 93.1790, loss_bbox: 0.2316, loss_mask: 0.2241, loss: 0.7069 2023-11-14 17:52:30,168 - mmdet - INFO - Epoch [11][4850/7330] lr: 1.000e-04, eta: 13:22:48, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0359, loss_cls: 0.1751, acc: 93.6833, loss_bbox: 0.2190, loss_mask: 0.2172, loss: 0.6747 2023-11-14 17:52:43,111 - mmdet - INFO - Epoch [11][4900/7330] lr: 1.000e-04, eta: 13:22:35, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0333, loss_cls: 0.1764, acc: 93.6699, loss_bbox: 0.2152, loss_mask: 0.2225, loss: 0.6729 2023-11-14 17:52:55,870 - mmdet - INFO - Epoch [11][4950/7330] lr: 1.000e-04, eta: 13:22:22, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0355, loss_cls: 0.1796, acc: 93.5544, loss_bbox: 0.2246, loss_mask: 0.2234, loss: 0.6888 2023-11-14 17:53:08,310 - mmdet - INFO - Epoch [11][5000/7330] lr: 1.000e-04, eta: 13:22:07, time: 0.249, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0311, loss_cls: 0.1660, acc: 94.1282, loss_bbox: 0.2070, loss_mask: 0.2196, loss: 0.6480 2023-11-14 17:53:21,284 - mmdet - INFO - Epoch [11][5050/7330] lr: 1.000e-04, eta: 13:21:54, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0356, loss_cls: 0.1751, acc: 93.6279, loss_bbox: 0.2168, loss_mask: 0.2242, loss: 0.6788 2023-11-14 17:53:33,889 - mmdet - INFO - Epoch [11][5100/7330] lr: 1.000e-04, eta: 13:21:41, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0305, loss_cls: 0.1701, acc: 93.7791, loss_bbox: 0.2204, loss_mask: 0.2216, loss: 0.6667 2023-11-14 17:53:46,642 - mmdet - INFO - Epoch [11][5150/7330] lr: 1.000e-04, eta: 13:21:27, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0334, loss_cls: 0.1780, acc: 93.4980, loss_bbox: 0.2175, loss_mask: 0.2239, loss: 0.6781 2023-11-14 17:53:59,281 - mmdet - INFO - Epoch [11][5200/7330] lr: 1.000e-04, eta: 13:21:13, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0332, loss_cls: 0.1822, acc: 93.3767, loss_bbox: 0.2227, loss_mask: 0.2293, loss: 0.6923 2023-11-14 17:54:12,032 - mmdet - INFO - Epoch [11][5250/7330] lr: 1.000e-04, eta: 13:21:00, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0360, loss_cls: 0.1858, acc: 93.3899, loss_bbox: 0.2263, loss_mask: 0.2256, loss: 0.7019 2023-11-14 17:54:24,749 - mmdet - INFO - Epoch [11][5300/7330] lr: 1.000e-04, eta: 13:20:46, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0339, loss_cls: 0.1768, acc: 93.6069, loss_bbox: 0.2225, loss_mask: 0.2244, loss: 0.6833 2023-11-14 17:54:37,675 - mmdet - INFO - Epoch [11][5350/7330] lr: 1.000e-04, eta: 13:20:33, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0329, loss_cls: 0.1750, acc: 93.7642, loss_bbox: 0.2098, loss_mask: 0.2201, loss: 0.6624 2023-11-14 17:54:50,441 - mmdet - INFO - Epoch [11][5400/7330] lr: 1.000e-04, eta: 13:20:20, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0350, loss_cls: 0.1808, acc: 93.5854, loss_bbox: 0.2227, loss_mask: 0.2238, loss: 0.6880 2023-11-14 17:55:02,931 - mmdet - INFO - Epoch [11][5450/7330] lr: 1.000e-04, eta: 13:20:06, time: 0.250, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0338, loss_cls: 0.1715, acc: 93.7988, loss_bbox: 0.2147, loss_mask: 0.2187, loss: 0.6642 2023-11-14 17:55:15,677 - mmdet - INFO - Epoch [11][5500/7330] lr: 1.000e-04, eta: 13:19:52, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0345, loss_cls: 0.1790, acc: 93.5454, loss_bbox: 0.2256, loss_mask: 0.2205, loss: 0.6855 2023-11-14 17:55:28,500 - mmdet - INFO - Epoch [11][5550/7330] lr: 1.000e-04, eta: 13:19:39, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0346, loss_cls: 0.1768, acc: 93.6455, loss_bbox: 0.2245, loss_mask: 0.2262, loss: 0.6874 2023-11-14 17:55:41,360 - mmdet - INFO - Epoch [11][5600/7330] lr: 1.000e-04, eta: 13:19:26, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0355, loss_cls: 0.1762, acc: 93.7014, loss_bbox: 0.2187, loss_mask: 0.2253, loss: 0.6842 2023-11-14 17:55:54,158 - mmdet - INFO - Epoch [11][5650/7330] lr: 1.000e-04, eta: 13:19:12, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0289, loss_rpn_bbox: 0.0356, loss_cls: 0.1753, acc: 93.7424, loss_bbox: 0.2138, loss_mask: 0.2214, loss: 0.6750 2023-11-14 17:56:06,780 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 17:56:06,780 - mmdet - INFO - Epoch [11][5700/7330] lr: 1.000e-04, eta: 13:18:59, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0355, loss_cls: 0.1780, acc: 93.5908, loss_bbox: 0.2207, loss_mask: 0.2257, loss: 0.6863 2023-11-14 17:56:19,300 - mmdet - INFO - Epoch [11][5750/7330] lr: 1.000e-04, eta: 13:18:45, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0367, loss_cls: 0.1783, acc: 93.6597, loss_bbox: 0.2195, loss_mask: 0.2217, loss: 0.6859 2023-11-14 17:56:32,073 - mmdet - INFO - Epoch [11][5800/7330] lr: 1.000e-04, eta: 13:18:31, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0339, loss_cls: 0.1738, acc: 93.8354, loss_bbox: 0.2099, loss_mask: 0.2182, loss: 0.6610 2023-11-14 17:56:44,734 - mmdet - INFO - Epoch [11][5850/7330] lr: 1.000e-04, eta: 13:18:18, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0315, loss_cls: 0.1704, acc: 93.8455, loss_bbox: 0.2099, loss_mask: 0.2153, loss: 0.6519 2023-11-14 17:56:57,622 - mmdet - INFO - Epoch [11][5900/7330] lr: 1.000e-04, eta: 13:18:04, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0358, loss_cls: 0.1734, acc: 93.7778, loss_bbox: 0.2155, loss_mask: 0.2170, loss: 0.6676 2023-11-14 17:57:10,205 - mmdet - INFO - Epoch [11][5950/7330] lr: 1.000e-04, eta: 13:17:51, time: 0.252, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0322, loss_cls: 0.1694, acc: 93.9617, loss_bbox: 0.2091, loss_mask: 0.2141, loss: 0.6510 2023-11-14 17:57:23,056 - mmdet - INFO - Epoch [11][6000/7330] lr: 1.000e-04, eta: 13:17:37, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0356, loss_cls: 0.1756, acc: 93.8066, loss_bbox: 0.2185, loss_mask: 0.2219, loss: 0.6776 2023-11-14 17:57:35,997 - mmdet - INFO - Epoch [11][6050/7330] lr: 1.000e-04, eta: 13:17:24, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0290, loss_rpn_bbox: 0.0364, loss_cls: 0.1803, acc: 93.5100, loss_bbox: 0.2205, loss_mask: 0.2222, loss: 0.6884 2023-11-14 17:57:48,682 - mmdet - INFO - Epoch [11][6100/7330] lr: 1.000e-04, eta: 13:17:11, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0330, loss_cls: 0.1773, acc: 93.6494, loss_bbox: 0.2214, loss_mask: 0.2211, loss: 0.6777 2023-11-14 17:58:01,449 - mmdet - INFO - Epoch [11][6150/7330] lr: 1.000e-04, eta: 13:16:57, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0325, loss_cls: 0.1694, acc: 93.9666, loss_bbox: 0.2137, loss_mask: 0.2230, loss: 0.6633 2023-11-14 17:58:14,256 - mmdet - INFO - Epoch [11][6200/7330] lr: 1.000e-04, eta: 13:16:44, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0339, loss_cls: 0.1709, acc: 93.8079, loss_bbox: 0.2176, loss_mask: 0.2252, loss: 0.6735 2023-11-14 17:58:26,817 - mmdet - INFO - Epoch [11][6250/7330] lr: 1.000e-04, eta: 13:16:30, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0336, loss_cls: 0.1669, acc: 94.0276, loss_bbox: 0.2112, loss_mask: 0.2203, loss: 0.6586 2023-11-14 17:58:39,513 - mmdet - INFO - Epoch [11][6300/7330] lr: 1.000e-04, eta: 13:16:16, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0332, loss_cls: 0.1667, acc: 94.0232, loss_bbox: 0.2049, loss_mask: 0.2142, loss: 0.6447 2023-11-14 17:58:52,195 - mmdet - INFO - Epoch [11][6350/7330] lr: 1.000e-04, eta: 13:16:03, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0352, loss_cls: 0.1746, acc: 93.6394, loss_bbox: 0.2199, loss_mask: 0.2189, loss: 0.6768 2023-11-14 17:59:04,802 - mmdet - INFO - Epoch [11][6400/7330] lr: 1.000e-04, eta: 13:15:49, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0334, loss_cls: 0.1721, acc: 93.8184, loss_bbox: 0.2192, loss_mask: 0.2196, loss: 0.6699 2023-11-14 17:59:17,629 - mmdet - INFO - Epoch [11][6450/7330] lr: 1.000e-04, eta: 13:15:36, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0323, loss_cls: 0.1667, acc: 93.8760, loss_bbox: 0.2056, loss_mask: 0.2200, loss: 0.6499 2023-11-14 17:59:30,582 - mmdet - INFO - Epoch [11][6500/7330] lr: 1.000e-04, eta: 13:15:23, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0334, loss_cls: 0.1759, acc: 93.5789, loss_bbox: 0.2209, loss_mask: 0.2229, loss: 0.6774 2023-11-14 17:59:43,432 - mmdet - INFO - Epoch [11][6550/7330] lr: 1.000e-04, eta: 13:15:10, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0337, loss_cls: 0.1712, acc: 93.9272, loss_bbox: 0.2119, loss_mask: 0.2199, loss: 0.6644 2023-11-14 17:59:56,331 - mmdet - INFO - Epoch [11][6600/7330] lr: 1.000e-04, eta: 13:14:56, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0305, loss_rpn_bbox: 0.0367, loss_cls: 0.1836, acc: 93.3506, loss_bbox: 0.2276, loss_mask: 0.2337, loss: 0.7121 2023-11-14 18:00:09,081 - mmdet - INFO - Epoch [11][6650/7330] lr: 1.000e-04, eta: 13:14:43, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0322, loss_cls: 0.1712, acc: 93.7710, loss_bbox: 0.2159, loss_mask: 0.2217, loss: 0.6661 2023-11-14 18:00:21,961 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 18:00:21,961 - mmdet - INFO - Epoch [11][6700/7330] lr: 1.000e-04, eta: 13:14:30, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0350, loss_cls: 0.1765, acc: 93.6428, loss_bbox: 0.2224, loss_mask: 0.2230, loss: 0.6853 2023-11-14 18:00:34,683 - mmdet - INFO - Epoch [11][6750/7330] lr: 1.000e-04, eta: 13:14:16, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0324, loss_cls: 0.1789, acc: 93.5459, loss_bbox: 0.2204, loss_mask: 0.2198, loss: 0.6762 2023-11-14 18:00:47,736 - mmdet - INFO - Epoch [11][6800/7330] lr: 1.000e-04, eta: 13:14:04, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0324, loss_cls: 0.1755, acc: 93.6260, loss_bbox: 0.2185, loss_mask: 0.2215, loss: 0.6713 2023-11-14 18:01:00,542 - mmdet - INFO - Epoch [11][6850/7330] lr: 1.000e-04, eta: 13:13:50, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0336, loss_cls: 0.1797, acc: 93.6504, loss_bbox: 0.2207, loss_mask: 0.2260, loss: 0.6861 2023-11-14 18:01:13,490 - mmdet - INFO - Epoch [11][6900/7330] lr: 1.000e-04, eta: 13:13:37, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0351, loss_cls: 0.1738, acc: 93.7444, loss_bbox: 0.2190, loss_mask: 0.2233, loss: 0.6770 2023-11-14 18:01:26,421 - mmdet - INFO - Epoch [11][6950/7330] lr: 1.000e-04, eta: 13:13:24, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0334, loss_cls: 0.1733, acc: 93.8159, loss_bbox: 0.2124, loss_mask: 0.2226, loss: 0.6655 2023-11-14 18:01:39,379 - mmdet - INFO - Epoch [11][7000/7330] lr: 1.000e-04, eta: 13:13:11, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0350, loss_cls: 0.1703, acc: 93.6707, loss_bbox: 0.2139, loss_mask: 0.2176, loss: 0.6634 2023-11-14 18:01:51,933 - mmdet - INFO - Epoch [11][7050/7330] lr: 1.000e-04, eta: 13:12:57, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0325, loss_cls: 0.1739, acc: 93.8503, loss_bbox: 0.2154, loss_mask: 0.2156, loss: 0.6635 2023-11-14 18:02:04,687 - mmdet - INFO - Epoch [11][7100/7330] lr: 1.000e-04, eta: 13:12:44, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0333, loss_cls: 0.1748, acc: 93.7502, loss_bbox: 0.2175, loss_mask: 0.2266, loss: 0.6779 2023-11-14 18:02:17,086 - mmdet - INFO - Epoch [11][7150/7330] lr: 1.000e-04, eta: 13:12:30, time: 0.248, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0343, loss_cls: 0.1743, acc: 93.8281, loss_bbox: 0.2163, loss_mask: 0.2220, loss: 0.6716 2023-11-14 18:02:29,806 - mmdet - INFO - Epoch [11][7200/7330] lr: 1.000e-04, eta: 13:12:16, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0330, loss_cls: 0.1686, acc: 93.9429, loss_bbox: 0.2122, loss_mask: 0.2162, loss: 0.6566 2023-11-14 18:02:42,770 - mmdet - INFO - Epoch [11][7250/7330] lr: 1.000e-04, eta: 13:12:03, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0295, loss_rpn_bbox: 0.0357, loss_cls: 0.1758, acc: 93.7703, loss_bbox: 0.2182, loss_mask: 0.2195, loss: 0.6787 2023-11-14 18:02:55,924 - mmdet - INFO - Epoch [11][7300/7330] lr: 1.000e-04, eta: 13:11:51, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0347, loss_cls: 0.1758, acc: 93.5779, loss_bbox: 0.2191, loss_mask: 0.2223, loss: 0.6787 2023-11-14 18:03:04,077 - mmdet - INFO - Saving checkpoint at 11 epochs 2023-11-14 18:03:48,267 - mmdet - INFO - Evaluating bbox... 2023-11-14 18:04:20,002 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.686 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.303 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.503 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.603 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 ] = 0.415 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.628 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.737 2023-11-14 18:04:20,005 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.575 | bicycle | 0.371 | car | 0.490 | | motorcycle | 0.480 | airplane | 0.694 | bus | 0.678 | | train | 0.661 | truck | 0.412 | boat | 0.333 | | traffic light | 0.302 | fire hydrant | 0.714 | stop sign | 0.662 | | parking meter | 0.497 | bench | 0.288 | bird | 0.406 | | cat | 0.728 | dog | 0.684 | horse | 0.606 | | sheep | 0.577 | cow | 0.610 | elephant | 0.671 | | bear | 0.727 | zebra | 0.685 | giraffe | 0.663 | | backpack | 0.183 | umbrella | 0.445 | handbag | 0.203 | | tie | 0.373 | suitcase | 0.469 | frisbee | 0.701 | | skis | 0.274 | snowboard | 0.405 | sports ball | 0.472 | | kite | 0.448 | baseball bat | 0.377 | baseball glove | 0.411 | | skateboard | 0.573 | surfboard | 0.457 | tennis racket | 0.544 | | bottle | 0.442 | wine glass | 0.400 | cup | 0.490 | | fork | 0.419 | knife | 0.263 | spoon | 0.266 | | bowl | 0.467 | banana | 0.292 | apple | 0.255 | | sandwich | 0.381 | orange | 0.369 | broccoli | 0.254 | | carrot | 0.242 | hot dog | 0.423 | pizza | 0.529 | | donut | 0.570 | cake | 0.415 | chair | 0.347 | | couch | 0.468 | potted plant | 0.320 | bed | 0.505 | | dining table | 0.303 | toilet | 0.657 | tv | 0.601 | | laptop | 0.665 | mouse | 0.655 | remote | 0.397 | | keyboard | 0.537 | cell phone | 0.406 | microwave | 0.636 | | oven | 0.399 | toaster | 0.380 | sink | 0.436 | | refrigerator | 0.634 | book | 0.191 | clock | 0.525 | | vase | 0.427 | scissors | 0.388 | teddy bear | 0.515 | | hair drier | 0.146 | toothbrush | 0.294 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 18:04:20,005 - mmdet - INFO - Evaluating segm... 2023-11-14 18:04:55,037 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.416 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.652 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.447 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.219 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.452 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.609 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.533 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.533 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 ] = 0.574 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.702 2023-11-14 18:04:55,040 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.495 | bicycle | 0.225 | car | 0.447 | | motorcycle | 0.383 | airplane | 0.535 | bus | 0.677 | | train | 0.655 | truck | 0.397 | boat | 0.290 | | traffic light | 0.267 | fire hydrant | 0.686 | stop sign | 0.665 | | parking meter | 0.505 | bench | 0.211 | bird | 0.326 | | cat | 0.719 | dog | 0.652 | horse | 0.434 | | sheep | 0.501 | cow | 0.517 | elephant | 0.614 | | bear | 0.728 | zebra | 0.564 | giraffe | 0.522 | | backpack | 0.199 | umbrella | 0.512 | handbag | 0.194 | | tie | 0.333 | suitcase | 0.501 | frisbee | 0.639 | | skis | 0.049 | snowboard | 0.252 | sports ball | 0.440 | | kite | 0.303 | baseball bat | 0.288 | baseball glove | 0.432 | | skateboard | 0.352 | surfboard | 0.370 | tennis racket | 0.588 | | bottle | 0.423 | wine glass | 0.357 | cup | 0.487 | | fork | 0.222 | knife | 0.173 | spoon | 0.181 | | bowl | 0.437 | banana | 0.234 | apple | 0.245 | | sandwich | 0.422 | orange | 0.363 | broccoli | 0.243 | | carrot | 0.215 | hot dog | 0.323 | pizza | 0.507 | | donut | 0.568 | cake | 0.422 | chair | 0.250 | | couch | 0.399 | potted plant | 0.272 | bed | 0.381 | | dining table | 0.184 | toilet | 0.646 | tv | 0.641 | | laptop | 0.661 | mouse | 0.639 | remote | 0.355 | | keyboard | 0.535 | cell phone | 0.383 | microwave | 0.641 | | oven | 0.364 | toaster | 0.446 | sink | 0.417 | | refrigerator | 0.632 | book | 0.138 | clock | 0.522 | | vase | 0.418 | scissors | 0.267 | teddy bear | 0.497 | | hair drier | 0.109 | toothbrush | 0.198 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 18:04:55,460 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_9.pth was removed 2023-11-14 18:04:57,103 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_11.pth. 2023-11-14 18:04:57,103 - mmdet - INFO - Best bbox_mAP is 0.4645 at 11 epoch. 2023-11-14 18:04:57,103 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 18:04:57,103 - mmdet - INFO - Epoch(val) [11][625] bbox_mAP: 0.4645, bbox_mAP_50: 0.6862, bbox_mAP_75: 0.5133, bbox_mAP_s: 0.3033, bbox_mAP_m: 0.5028, bbox_mAP_l: 0.6027, bbox_mAP_copypaste: 0.4645 0.6862 0.5133 0.3033 0.5028 0.6027, segm_mAP: 0.4161, segm_mAP_50: 0.6523, segm_mAP_75: 0.4473, segm_mAP_s: 0.2190, segm_mAP_m: 0.4524, segm_mAP_l: 0.6090, segm_mAP_copypaste: 0.4161 0.6523 0.4473 0.2190 0.4524 0.6090 2023-11-14 18:05:13,104 - mmdet - INFO - Epoch [12][50/7330] lr: 1.000e-04, eta: 13:11:19, time: 0.319, data_time: 0.074, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0341, loss_cls: 0.1780, acc: 93.5811, loss_bbox: 0.2237, loss_mask: 0.2229, loss: 0.6840 2023-11-14 18:05:26,751 - mmdet - INFO - Epoch [12][100/7330] lr: 1.000e-04, eta: 13:11:08, time: 0.273, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0360, loss_cls: 0.1725, acc: 93.6218, loss_bbox: 0.2218, loss_mask: 0.2169, loss: 0.6733 2023-11-14 18:05:39,856 - mmdet - INFO - Epoch [12][150/7330] lr: 1.000e-04, eta: 13:10:55, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0324, loss_cls: 0.1679, acc: 93.8782, loss_bbox: 0.2147, loss_mask: 0.2178, loss: 0.6564 2023-11-14 18:05:52,680 - mmdet - INFO - Epoch [12][200/7330] lr: 1.000e-04, eta: 13:10:42, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0342, loss_cls: 0.1695, acc: 93.7705, loss_bbox: 0.2207, loss_mask: 0.2205, loss: 0.6696 2023-11-14 18:06:05,384 - mmdet - INFO - Epoch [12][250/7330] lr: 1.000e-04, eta: 13:10:28, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0330, loss_cls: 0.1659, acc: 93.9631, loss_bbox: 0.2063, loss_mask: 0.2147, loss: 0.6454 2023-11-14 18:06:18,795 - mmdet - INFO - Epoch [12][300/7330] lr: 1.000e-04, eta: 13:10:16, time: 0.268, data_time: 0.019, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0336, loss_cls: 0.1694, acc: 93.7493, loss_bbox: 0.2199, loss_mask: 0.2233, loss: 0.6697 2023-11-14 18:06:31,563 - mmdet - INFO - Epoch [12][350/7330] lr: 1.000e-04, eta: 13:10:03, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0351, loss_cls: 0.1645, acc: 93.8967, loss_bbox: 0.2129, loss_mask: 0.2179, loss: 0.6553 2023-11-14 18:06:44,315 - mmdet - INFO - Epoch [12][400/7330] lr: 1.000e-04, eta: 13:09:49, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0356, loss_cls: 0.1748, acc: 93.6506, loss_bbox: 0.2225, loss_mask: 0.2184, loss: 0.6775 2023-11-14 18:06:56,934 - mmdet - INFO - Epoch [12][450/7330] lr: 1.000e-04, eta: 13:09:36, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0316, loss_cls: 0.1648, acc: 94.0635, loss_bbox: 0.2095, loss_mask: 0.2144, loss: 0.6456 2023-11-14 18:07:09,820 - mmdet - INFO - Epoch [12][500/7330] lr: 1.000e-04, eta: 13:09:23, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0331, loss_cls: 0.1671, acc: 93.9932, loss_bbox: 0.2105, loss_mask: 0.2159, loss: 0.6524 2023-11-14 18:07:22,883 - mmdet - INFO - Epoch [12][550/7330] lr: 1.000e-04, eta: 13:09:10, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0356, loss_cls: 0.1765, acc: 93.5322, loss_bbox: 0.2240, loss_mask: 0.2238, loss: 0.6860 2023-11-14 18:07:35,684 - mmdet - INFO - Epoch [12][600/7330] lr: 1.000e-04, eta: 13:08:57, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0345, loss_cls: 0.1731, acc: 93.7034, loss_bbox: 0.2206, loss_mask: 0.2216, loss: 0.6774 2023-11-14 18:07:48,705 - mmdet - INFO - Epoch [12][650/7330] lr: 1.000e-04, eta: 13:08:44, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0361, loss_cls: 0.1734, acc: 93.5952, loss_bbox: 0.2208, loss_mask: 0.2218, loss: 0.6779 2023-11-14 18:08:01,413 - mmdet - INFO - Epoch [12][700/7330] lr: 1.000e-04, eta: 13:08:30, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0328, loss_cls: 0.1673, acc: 93.9868, loss_bbox: 0.2083, loss_mask: 0.2221, loss: 0.6537 2023-11-14 18:08:14,139 - mmdet - INFO - Epoch [12][750/7330] lr: 1.000e-04, eta: 13:08:17, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0299, loss_cls: 0.1542, acc: 94.3533, loss_bbox: 0.2032, loss_mask: 0.2165, loss: 0.6248 2023-11-14 18:08:27,102 - mmdet - INFO - Epoch [12][800/7330] lr: 1.000e-04, eta: 13:08:04, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0337, loss_cls: 0.1720, acc: 93.6614, loss_bbox: 0.2199, loss_mask: 0.2177, loss: 0.6690 2023-11-14 18:08:40,290 - mmdet - INFO - Epoch [12][850/7330] lr: 1.000e-04, eta: 13:07:51, time: 0.264, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0327, loss_cls: 0.1714, acc: 93.7678, loss_bbox: 0.2164, loss_mask: 0.2132, loss: 0.6595 2023-11-14 18:08:52,968 - mmdet - INFO - Epoch [12][900/7330] lr: 1.000e-04, eta: 13:07:38, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0356, loss_cls: 0.1789, acc: 93.4858, loss_bbox: 0.2185, loss_mask: 0.2176, loss: 0.6787 2023-11-14 18:09:05,782 - mmdet - INFO - Epoch [12][950/7330] lr: 1.000e-04, eta: 13:07:25, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0329, loss_cls: 0.1698, acc: 93.8408, loss_bbox: 0.2135, loss_mask: 0.2153, loss: 0.6557 2023-11-14 18:09:18,478 - mmdet - INFO - Epoch [12][1000/7330] lr: 1.000e-04, eta: 13:07:11, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0341, loss_cls: 0.1710, acc: 93.7747, loss_bbox: 0.2184, loss_mask: 0.2174, loss: 0.6653 2023-11-14 18:09:31,559 - mmdet - INFO - Epoch [12][1050/7330] lr: 1.000e-04, eta: 13:06:58, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0344, loss_cls: 0.1766, acc: 93.5852, loss_bbox: 0.2214, loss_mask: 0.2199, loss: 0.6788 2023-11-14 18:09:44,635 - mmdet - INFO - Epoch [12][1100/7330] lr: 1.000e-04, eta: 13:06:46, time: 0.262, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0322, loss_cls: 0.1693, acc: 93.8572, loss_bbox: 0.2135, loss_mask: 0.2114, loss: 0.6516 2023-11-14 18:09:57,494 - mmdet - INFO - Epoch [12][1150/7330] lr: 1.000e-04, eta: 13:06:32, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0341, loss_cls: 0.1732, acc: 93.7766, loss_bbox: 0.2225, loss_mask: 0.2174, loss: 0.6726 2023-11-14 18:10:10,458 - mmdet - INFO - Epoch [12][1200/7330] lr: 1.000e-04, eta: 13:06:19, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0325, loss_cls: 0.1692, acc: 93.8704, loss_bbox: 0.2121, loss_mask: 0.2201, loss: 0.6595 2023-11-14 18:10:23,326 - mmdet - INFO - Epoch [12][1250/7330] lr: 1.000e-04, eta: 13:06:06, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0338, loss_cls: 0.1702, acc: 93.9004, loss_bbox: 0.2107, loss_mask: 0.2215, loss: 0.6632 2023-11-14 18:10:36,307 - mmdet - INFO - Epoch [12][1300/7330] lr: 1.000e-04, eta: 13:05:53, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0366, loss_cls: 0.1756, acc: 93.6433, loss_bbox: 0.2182, loss_mask: 0.2285, loss: 0.6865 2023-11-14 18:10:48,909 - mmdet - INFO - Epoch [12][1350/7330] lr: 1.000e-04, eta: 13:05:40, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0326, loss_cls: 0.1705, acc: 93.7776, loss_bbox: 0.2145, loss_mask: 0.2105, loss: 0.6518 2023-11-14 18:11:01,725 - mmdet - INFO - Epoch [12][1400/7330] lr: 1.000e-04, eta: 13:05:26, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0343, loss_cls: 0.1686, acc: 93.9451, loss_bbox: 0.2102, loss_mask: 0.2161, loss: 0.6545 2023-11-14 18:11:14,756 - mmdet - INFO - Epoch [12][1450/7330] lr: 1.000e-04, eta: 13:05:14, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0337, loss_cls: 0.1735, acc: 93.6750, loss_bbox: 0.2206, loss_mask: 0.2217, loss: 0.6744 2023-11-14 18:11:27,961 - mmdet - INFO - Epoch [12][1500/7330] lr: 1.000e-04, eta: 13:05:01, time: 0.264, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0350, loss_cls: 0.1711, acc: 93.6768, loss_bbox: 0.2162, loss_mask: 0.2166, loss: 0.6644 2023-11-14 18:11:40,980 - mmdet - INFO - Epoch [12][1550/7330] lr: 1.000e-04, eta: 13:04:48, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0354, loss_cls: 0.1774, acc: 93.6396, loss_bbox: 0.2252, loss_mask: 0.2217, loss: 0.6864 2023-11-14 18:11:53,906 - mmdet - INFO - Epoch [12][1600/7330] lr: 1.000e-04, eta: 13:04:35, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0313, loss_cls: 0.1659, acc: 94.0364, loss_bbox: 0.2094, loss_mask: 0.2112, loss: 0.6426 2023-11-14 18:12:06,758 - mmdet - INFO - Epoch [12][1650/7330] lr: 1.000e-04, eta: 13:04:22, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0332, loss_cls: 0.1654, acc: 94.0540, loss_bbox: 0.2104, loss_mask: 0.2132, loss: 0.6463 2023-11-14 18:12:19,376 - mmdet - INFO - Epoch [12][1700/7330] lr: 1.000e-04, eta: 13:04:08, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0332, loss_cls: 0.1668, acc: 93.9675, loss_bbox: 0.2095, loss_mask: 0.2088, loss: 0.6420 2023-11-14 18:12:32,338 - mmdet - INFO - Epoch [12][1750/7330] lr: 1.000e-04, eta: 13:03:55, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0306, loss_cls: 0.1642, acc: 94.0994, loss_bbox: 0.2064, loss_mask: 0.2160, loss: 0.6420 2023-11-14 18:12:44,939 - mmdet - INFO - Epoch [12][1800/7330] lr: 1.000e-04, eta: 13:03:42, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0335, loss_cls: 0.1688, acc: 93.8135, loss_bbox: 0.2177, loss_mask: 0.2212, loss: 0.6642 2023-11-14 18:12:57,894 - mmdet - INFO - Epoch [12][1850/7330] lr: 1.000e-04, eta: 13:03:29, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0340, loss_cls: 0.1644, acc: 94.0129, loss_bbox: 0.2072, loss_mask: 0.2145, loss: 0.6435 2023-11-14 18:13:10,979 - mmdet - INFO - Epoch [12][1900/7330] lr: 1.000e-04, eta: 13:03:16, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0355, loss_cls: 0.1770, acc: 93.6895, loss_bbox: 0.2186, loss_mask: 0.2220, loss: 0.6786 2023-11-14 18:13:23,840 - mmdet - INFO - Epoch [12][1950/7330] lr: 1.000e-04, eta: 13:03:03, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0321, loss_cls: 0.1681, acc: 93.8259, loss_bbox: 0.2181, loss_mask: 0.2215, loss: 0.6631 2023-11-14 18:13:36,575 - mmdet - INFO - Epoch [12][2000/7330] lr: 1.000e-04, eta: 13:02:49, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0347, loss_cls: 0.1724, acc: 93.6355, loss_bbox: 0.2168, loss_mask: 0.2187, loss: 0.6695 2023-11-14 18:13:49,498 - mmdet - INFO - Epoch [12][2050/7330] lr: 1.000e-04, eta: 13:02:36, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0335, loss_cls: 0.1746, acc: 93.7014, loss_bbox: 0.2196, loss_mask: 0.2231, loss: 0.6771 2023-11-14 18:14:02,411 - mmdet - INFO - Epoch [12][2100/7330] lr: 1.000e-04, eta: 13:02:23, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0344, loss_cls: 0.1728, acc: 93.7327, loss_bbox: 0.2160, loss_mask: 0.2170, loss: 0.6656 2023-11-14 18:14:14,970 - mmdet - INFO - Epoch [12][2150/7330] lr: 1.000e-04, eta: 13:02:10, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0326, loss_cls: 0.1656, acc: 94.0012, loss_bbox: 0.2068, loss_mask: 0.2151, loss: 0.6436 2023-11-14 18:14:27,690 - mmdet - INFO - Epoch [12][2200/7330] lr: 1.000e-04, eta: 13:01:56, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0307, loss_cls: 0.1752, acc: 93.8398, loss_bbox: 0.2099, loss_mask: 0.2207, loss: 0.6633 2023-11-14 18:14:40,545 - mmdet - INFO - Epoch [12][2250/7330] lr: 1.000e-04, eta: 13:01:43, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0316, loss_cls: 0.1631, acc: 94.0344, loss_bbox: 0.2070, loss_mask: 0.2176, loss: 0.6429 2023-11-14 18:14:53,434 - mmdet - INFO - Epoch [12][2300/7330] lr: 1.000e-04, eta: 13:01:30, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0356, loss_cls: 0.1784, acc: 93.5310, loss_bbox: 0.2219, loss_mask: 0.2160, loss: 0.6789 2023-11-14 18:15:06,226 - mmdet - INFO - Epoch [12][2350/7330] lr: 1.000e-04, eta: 13:01:16, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0338, loss_cls: 0.1742, acc: 93.7314, loss_bbox: 0.2167, loss_mask: 0.2152, loss: 0.6645 2023-11-14 18:15:19,201 - mmdet - INFO - Epoch [12][2400/7330] lr: 1.000e-04, eta: 13:01:04, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0344, loss_cls: 0.1744, acc: 93.6423, loss_bbox: 0.2186, loss_mask: 0.2181, loss: 0.6715 2023-11-14 18:15:32,101 - mmdet - INFO - Epoch [12][2450/7330] lr: 1.000e-04, eta: 13:00:50, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0336, loss_cls: 0.1671, acc: 93.8970, loss_bbox: 0.2145, loss_mask: 0.2149, loss: 0.6553 2023-11-14 18:15:45,069 - mmdet - INFO - Epoch [12][2500/7330] lr: 1.000e-04, eta: 13:00:38, time: 0.259, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0308, loss_cls: 0.1628, acc: 94.0872, loss_bbox: 0.2052, loss_mask: 0.2088, loss: 0.6314 2023-11-14 18:15:57,975 - mmdet - INFO - Epoch [12][2550/7330] lr: 1.000e-04, eta: 13:00:24, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0326, loss_cls: 0.1732, acc: 93.8284, loss_bbox: 0.2166, loss_mask: 0.2169, loss: 0.6646 2023-11-14 18:16:10,595 - mmdet - INFO - Epoch [12][2600/7330] lr: 1.000e-04, eta: 13:00:11, time: 0.252, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0345, loss_cls: 0.1785, acc: 93.6958, loss_bbox: 0.2187, loss_mask: 0.2148, loss: 0.6729 2023-11-14 18:16:23,419 - mmdet - INFO - Epoch [12][2650/7330] lr: 1.000e-04, eta: 12:59:58, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0311, loss_cls: 0.1720, acc: 93.9260, loss_bbox: 0.2104, loss_mask: 0.2157, loss: 0.6530 2023-11-14 18:16:36,473 - mmdet - INFO - Epoch [12][2700/7330] lr: 1.000e-04, eta: 12:59:45, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0378, loss_cls: 0.1805, acc: 93.4783, loss_bbox: 0.2292, loss_mask: 0.2247, loss: 0.7012 2023-11-14 18:16:49,493 - mmdet - INFO - Epoch [12][2750/7330] lr: 1.000e-04, eta: 12:59:32, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0281, loss_rpn_bbox: 0.0377, loss_cls: 0.1764, acc: 93.5781, loss_bbox: 0.2229, loss_mask: 0.2212, loss: 0.6863 2023-11-14 18:17:02,243 - mmdet - INFO - Epoch [12][2800/7330] lr: 1.000e-04, eta: 12:59:19, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0344, loss_cls: 0.1738, acc: 93.6609, loss_bbox: 0.2196, loss_mask: 0.2225, loss: 0.6779 2023-11-14 18:17:14,802 - mmdet - INFO - Epoch [12][2850/7330] lr: 1.000e-04, eta: 12:59:05, time: 0.251, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0326, loss_cls: 0.1738, acc: 93.7654, loss_bbox: 0.2182, loss_mask: 0.2209, loss: 0.6711 2023-11-14 18:17:27,672 - mmdet - INFO - Epoch [12][2900/7330] lr: 1.000e-04, eta: 12:58:52, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0346, loss_cls: 0.1761, acc: 93.6626, loss_bbox: 0.2138, loss_mask: 0.2165, loss: 0.6653 2023-11-14 18:17:40,472 - mmdet - INFO - Epoch [12][2950/7330] lr: 1.000e-04, eta: 12:58:38, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0322, loss_cls: 0.1688, acc: 93.8442, loss_bbox: 0.2126, loss_mask: 0.2174, loss: 0.6545 2023-11-14 18:17:53,482 - mmdet - INFO - Epoch [12][3000/7330] lr: 1.000e-04, eta: 12:58:25, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0354, loss_cls: 0.1746, acc: 93.6377, loss_bbox: 0.2171, loss_mask: 0.2187, loss: 0.6723 2023-11-14 18:18:06,487 - mmdet - INFO - Epoch [12][3050/7330] lr: 1.000e-04, eta: 12:58:13, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0352, loss_cls: 0.1744, acc: 93.6562, loss_bbox: 0.2207, loss_mask: 0.2189, loss: 0.6748 2023-11-14 18:18:19,474 - mmdet - INFO - Epoch [12][3100/7330] lr: 1.000e-04, eta: 12:58:00, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0340, loss_cls: 0.1820, acc: 93.4871, loss_bbox: 0.2219, loss_mask: 0.2190, loss: 0.6799 2023-11-14 18:18:32,351 - mmdet - INFO - Epoch [12][3150/7330] lr: 1.000e-04, eta: 12:57:47, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0330, loss_cls: 0.1709, acc: 93.8503, loss_bbox: 0.2092, loss_mask: 0.2208, loss: 0.6583 2023-11-14 18:18:45,132 - mmdet - INFO - Epoch [12][3200/7330] lr: 1.000e-04, eta: 12:57:33, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0340, loss_cls: 0.1656, acc: 94.0085, loss_bbox: 0.2079, loss_mask: 0.2137, loss: 0.6447 2023-11-14 18:18:58,351 - mmdet - INFO - Epoch [12][3250/7330] lr: 1.000e-04, eta: 12:57:21, time: 0.264, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0351, loss_cls: 0.1796, acc: 93.6804, loss_bbox: 0.2185, loss_mask: 0.2264, loss: 0.6870 2023-11-14 18:19:11,049 - mmdet - INFO - Epoch [12][3300/7330] lr: 1.000e-04, eta: 12:57:07, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0339, loss_cls: 0.1721, acc: 93.8843, loss_bbox: 0.2100, loss_mask: 0.2188, loss: 0.6595 2023-11-14 18:19:23,897 - mmdet - INFO - Epoch [12][3350/7330] lr: 1.000e-04, eta: 12:56:54, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0330, loss_cls: 0.1677, acc: 93.9841, loss_bbox: 0.2115, loss_mask: 0.2155, loss: 0.6519 2023-11-14 18:19:36,808 - mmdet - INFO - Epoch [12][3400/7330] lr: 1.000e-04, eta: 12:56:41, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0354, loss_cls: 0.1737, acc: 93.6995, loss_bbox: 0.2209, loss_mask: 0.2217, loss: 0.6783 2023-11-14 18:19:49,593 - mmdet - INFO - Epoch [12][3450/7330] lr: 1.000e-04, eta: 12:56:28, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0346, loss_cls: 0.1719, acc: 93.7883, loss_bbox: 0.2121, loss_mask: 0.2174, loss: 0.6623 2023-11-14 18:20:02,210 - mmdet - INFO - Epoch [12][3500/7330] lr: 1.000e-04, eta: 12:56:14, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0339, loss_cls: 0.1617, acc: 94.1531, loss_bbox: 0.2059, loss_mask: 0.2140, loss: 0.6399 2023-11-14 18:20:15,274 - mmdet - INFO - Epoch [12][3550/7330] lr: 1.000e-04, eta: 12:56:01, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0348, loss_cls: 0.1770, acc: 93.7141, loss_bbox: 0.2230, loss_mask: 0.2171, loss: 0.6777 2023-11-14 18:20:28,166 - mmdet - INFO - Epoch [12][3600/7330] lr: 1.000e-04, eta: 12:55:48, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0347, loss_cls: 0.1729, acc: 93.7524, loss_bbox: 0.2227, loss_mask: 0.2202, loss: 0.6773 2023-11-14 18:20:41,095 - mmdet - INFO - Epoch [12][3650/7330] lr: 1.000e-04, eta: 12:55:35, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0286, loss_rpn_bbox: 0.0348, loss_cls: 0.1778, acc: 93.5735, loss_bbox: 0.2202, loss_mask: 0.2214, loss: 0.6828 2023-11-14 18:20:54,027 - mmdet - INFO - Epoch [12][3700/7330] lr: 1.000e-04, eta: 12:55:22, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0333, loss_cls: 0.1723, acc: 93.9016, loss_bbox: 0.2095, loss_mask: 0.2249, loss: 0.6646 2023-11-14 18:21:06,934 - mmdet - INFO - Epoch [12][3750/7330] lr: 1.000e-04, eta: 12:55:09, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0348, loss_cls: 0.1688, acc: 93.9109, loss_bbox: 0.2123, loss_mask: 0.2157, loss: 0.6570 2023-11-14 18:21:19,535 - mmdet - INFO - Epoch [12][3800/7330] lr: 1.000e-04, eta: 12:54:56, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0331, loss_cls: 0.1700, acc: 93.8423, loss_bbox: 0.2151, loss_mask: 0.2226, loss: 0.6654 2023-11-14 18:21:32,640 - mmdet - INFO - Epoch [12][3850/7330] lr: 1.000e-04, eta: 12:54:43, time: 0.262, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0327, loss_cls: 0.1628, acc: 94.0752, loss_bbox: 0.2078, loss_mask: 0.2138, loss: 0.6418 2023-11-14 18:21:45,185 - mmdet - INFO - Epoch [12][3900/7330] lr: 1.000e-04, eta: 12:54:29, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0317, loss_cls: 0.1692, acc: 93.9451, loss_bbox: 0.2112, loss_mask: 0.2189, loss: 0.6561 2023-11-14 18:21:58,190 - mmdet - INFO - Epoch [12][3950/7330] lr: 1.000e-04, eta: 12:54:16, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0325, loss_cls: 0.1692, acc: 93.9448, loss_bbox: 0.2091, loss_mask: 0.2158, loss: 0.6511 2023-11-14 18:22:10,965 - mmdet - INFO - Epoch [12][4000/7330] lr: 1.000e-04, eta: 12:54:03, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0349, loss_cls: 0.1724, acc: 93.8003, loss_bbox: 0.2153, loss_mask: 0.2221, loss: 0.6700 2023-11-14 18:22:24,027 - mmdet - INFO - Epoch [12][4050/7330] lr: 1.000e-04, eta: 12:53:50, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0361, loss_cls: 0.1733, acc: 93.7024, loss_bbox: 0.2208, loss_mask: 0.2239, loss: 0.6789 2023-11-14 18:22:36,702 - mmdet - INFO - Epoch [12][4100/7330] lr: 1.000e-04, eta: 12:53:37, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0314, loss_cls: 0.1701, acc: 93.9629, loss_bbox: 0.2121, loss_mask: 0.2179, loss: 0.6559 2023-11-14 18:22:49,481 - mmdet - INFO - Epoch [12][4150/7330] lr: 1.000e-04, eta: 12:53:23, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0323, loss_cls: 0.1688, acc: 93.9729, loss_bbox: 0.2087, loss_mask: 0.2136, loss: 0.6464 2023-11-14 18:23:01,987 - mmdet - INFO - Epoch [12][4200/7330] lr: 1.000e-04, eta: 12:53:09, time: 0.250, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0330, loss_cls: 0.1808, acc: 93.4766, loss_bbox: 0.2187, loss_mask: 0.2223, loss: 0.6813 2023-11-14 18:23:14,510 - mmdet - INFO - Epoch [12][4250/7330] lr: 1.000e-04, eta: 12:52:56, time: 0.250, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0334, loss_cls: 0.1680, acc: 93.8657, loss_bbox: 0.2098, loss_mask: 0.2193, loss: 0.6542 2023-11-14 18:23:27,459 - mmdet - INFO - Epoch [12][4300/7330] lr: 1.000e-04, eta: 12:52:43, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0346, loss_cls: 0.1755, acc: 93.6514, loss_bbox: 0.2151, loss_mask: 0.2185, loss: 0.6683 2023-11-14 18:23:40,338 - mmdet - INFO - Epoch [12][4350/7330] lr: 1.000e-04, eta: 12:52:29, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0327, loss_cls: 0.1743, acc: 93.6650, loss_bbox: 0.2162, loss_mask: 0.2172, loss: 0.6625 2023-11-14 18:23:53,331 - mmdet - INFO - Epoch [12][4400/7330] lr: 1.000e-04, eta: 12:52:17, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0344, loss_cls: 0.1688, acc: 93.8450, loss_bbox: 0.2115, loss_mask: 0.2169, loss: 0.6575 2023-11-14 18:24:06,368 - mmdet - INFO - Epoch [12][4450/7330] lr: 1.000e-04, eta: 12:52:04, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0358, loss_cls: 0.1755, acc: 93.6028, loss_bbox: 0.2208, loss_mask: 0.2246, loss: 0.6840 2023-11-14 18:24:18,935 - mmdet - INFO - Epoch [12][4500/7330] lr: 1.000e-04, eta: 12:51:50, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0344, loss_cls: 0.1679, acc: 93.9128, loss_bbox: 0.2140, loss_mask: 0.2218, loss: 0.6621 2023-11-14 18:24:31,700 - mmdet - INFO - Epoch [12][4550/7330] lr: 1.000e-04, eta: 12:51:37, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0317, loss_cls: 0.1669, acc: 93.9573, loss_bbox: 0.2088, loss_mask: 0.2165, loss: 0.6480 2023-11-14 18:24:44,569 - mmdet - INFO - Epoch [12][4600/7330] lr: 1.000e-04, eta: 12:51:24, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0344, loss_cls: 0.1691, acc: 93.9189, loss_bbox: 0.2132, loss_mask: 0.2194, loss: 0.6601 2023-11-14 18:24:57,337 - mmdet - INFO - Epoch [12][4650/7330] lr: 1.000e-04, eta: 12:51:10, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0350, loss_cls: 0.1746, acc: 93.7170, loss_bbox: 0.2180, loss_mask: 0.2274, loss: 0.6801 2023-11-14 18:25:10,333 - mmdet - INFO - Epoch [12][4700/7330] lr: 1.000e-04, eta: 12:50:57, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0365, loss_cls: 0.1773, acc: 93.5730, loss_bbox: 0.2199, loss_mask: 0.2311, loss: 0.6925 2023-11-14 18:25:23,074 - mmdet - INFO - Epoch [12][4750/7330] lr: 1.000e-04, eta: 12:50:44, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0324, loss_cls: 0.1682, acc: 93.9807, loss_bbox: 0.2144, loss_mask: 0.2181, loss: 0.6570 2023-11-14 18:25:35,708 - mmdet - INFO - Epoch [12][4800/7330] lr: 1.000e-04, eta: 12:50:30, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0345, loss_cls: 0.1740, acc: 93.7822, loss_bbox: 0.2188, loss_mask: 0.2227, loss: 0.6778 2023-11-14 18:25:48,469 - mmdet - INFO - Epoch [12][4850/7330] lr: 1.000e-04, eta: 12:50:17, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0343, loss_cls: 0.1682, acc: 93.9573, loss_bbox: 0.2121, loss_mask: 0.2183, loss: 0.6583 2023-11-14 18:26:01,234 - mmdet - INFO - Epoch [12][4900/7330] lr: 1.000e-04, eta: 12:50:04, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0347, loss_cls: 0.1769, acc: 93.5708, loss_bbox: 0.2186, loss_mask: 0.2228, loss: 0.6785 2023-11-14 18:26:14,059 - mmdet - INFO - Epoch [12][4950/7330] lr: 1.000e-04, eta: 12:49:50, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0341, loss_cls: 0.1742, acc: 93.7175, loss_bbox: 0.2183, loss_mask: 0.2234, loss: 0.6761 2023-11-14 18:26:26,672 - mmdet - INFO - Epoch [12][5000/7330] lr: 1.000e-04, eta: 12:49:37, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0348, loss_cls: 0.1764, acc: 93.5842, loss_bbox: 0.2221, loss_mask: 0.2187, loss: 0.6782 2023-11-14 18:26:39,435 - mmdet - INFO - Epoch [12][5050/7330] lr: 1.000e-04, eta: 12:49:23, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0334, loss_cls: 0.1748, acc: 93.7183, loss_bbox: 0.2173, loss_mask: 0.2215, loss: 0.6724 2023-11-14 18:26:52,163 - mmdet - INFO - Epoch [12][5100/7330] lr: 1.000e-04, eta: 12:49:10, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0345, loss_cls: 0.1715, acc: 93.8682, loss_bbox: 0.2136, loss_mask: 0.2161, loss: 0.6607 2023-11-14 18:27:04,788 - mmdet - INFO - Epoch [12][5150/7330] lr: 1.000e-04, eta: 12:48:56, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0337, loss_cls: 0.1754, acc: 93.6672, loss_bbox: 0.2201, loss_mask: 0.2155, loss: 0.6690 2023-11-14 18:27:17,667 - mmdet - INFO - Epoch [12][5200/7330] lr: 1.000e-04, eta: 12:48:43, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0337, loss_cls: 0.1692, acc: 93.9150, loss_bbox: 0.2101, loss_mask: 0.2129, loss: 0.6489 2023-11-14 18:27:30,394 - mmdet - INFO - Epoch [12][5250/7330] lr: 1.000e-04, eta: 12:48:30, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0322, loss_cls: 0.1678, acc: 93.9478, loss_bbox: 0.2101, loss_mask: 0.2201, loss: 0.6539 2023-11-14 18:27:43,245 - mmdet - INFO - Epoch [12][5300/7330] lr: 1.000e-04, eta: 12:48:17, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0347, loss_cls: 0.1835, acc: 93.3335, loss_bbox: 0.2260, loss_mask: 0.2211, loss: 0.6928 2023-11-14 18:27:55,932 - mmdet - INFO - Epoch [12][5350/7330] lr: 1.000e-04, eta: 12:48:03, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0345, loss_cls: 0.1787, acc: 93.5779, loss_bbox: 0.2240, loss_mask: 0.2154, loss: 0.6781 2023-11-14 18:28:08,640 - mmdet - INFO - Epoch [12][5400/7330] lr: 1.000e-04, eta: 12:47:50, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0337, loss_cls: 0.1735, acc: 93.7285, loss_bbox: 0.2160, loss_mask: 0.2233, loss: 0.6730 2023-11-14 18:28:21,432 - mmdet - INFO - Epoch [12][5450/7330] lr: 1.000e-04, eta: 12:47:36, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0343, loss_cls: 0.1738, acc: 93.7456, loss_bbox: 0.2137, loss_mask: 0.2144, loss: 0.6610 2023-11-14 18:28:34,202 - mmdet - INFO - Epoch [12][5500/7330] lr: 1.000e-04, eta: 12:47:23, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0348, loss_cls: 0.1746, acc: 93.7300, loss_bbox: 0.2200, loss_mask: 0.2205, loss: 0.6758 2023-11-14 18:28:47,136 - mmdet - INFO - Epoch [12][5550/7330] lr: 1.000e-04, eta: 12:47:10, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0353, loss_cls: 0.1708, acc: 93.8027, loss_bbox: 0.2188, loss_mask: 0.2202, loss: 0.6706 2023-11-14 18:28:59,808 - mmdet - INFO - Epoch [12][5600/7330] lr: 1.000e-04, eta: 12:46:57, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0324, loss_cls: 0.1698, acc: 93.8357, loss_bbox: 0.2105, loss_mask: 0.2150, loss: 0.6533 2023-11-14 18:29:12,631 - mmdet - INFO - Epoch [12][5650/7330] lr: 1.000e-04, eta: 12:46:43, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0360, loss_cls: 0.1815, acc: 93.4697, loss_bbox: 0.2219, loss_mask: 0.2216, loss: 0.6870 2023-11-14 18:29:25,232 - mmdet - INFO - Epoch [12][5700/7330] lr: 1.000e-04, eta: 12:46:30, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0353, loss_cls: 0.1713, acc: 93.7539, loss_bbox: 0.2139, loss_mask: 0.2267, loss: 0.6737 2023-11-14 18:29:37,958 - mmdet - INFO - Epoch [12][5750/7330] lr: 1.000e-04, eta: 12:46:16, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0334, loss_cls: 0.1744, acc: 93.7603, loss_bbox: 0.2146, loss_mask: 0.2180, loss: 0.6652 2023-11-14 18:29:50,709 - mmdet - INFO - Epoch [12][5800/7330] lr: 1.000e-04, eta: 12:46:03, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0312, loss_cls: 0.1625, acc: 94.2312, loss_bbox: 0.2028, loss_mask: 0.2123, loss: 0.6325 2023-11-14 18:30:03,473 - mmdet - INFO - Epoch [12][5850/7330] lr: 1.000e-04, eta: 12:45:50, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0338, loss_cls: 0.1746, acc: 93.7021, loss_bbox: 0.2198, loss_mask: 0.2193, loss: 0.6741 2023-11-14 18:30:16,323 - mmdet - INFO - Epoch [12][5900/7330] lr: 1.000e-04, eta: 12:45:36, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0374, loss_cls: 0.1859, acc: 93.3875, loss_bbox: 0.2299, loss_mask: 0.2256, loss: 0.7055 2023-11-14 18:30:29,056 - mmdet - INFO - Epoch [12][5950/7330] lr: 1.000e-04, eta: 12:45:23, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0361, loss_cls: 0.1731, acc: 93.6299, loss_bbox: 0.2196, loss_mask: 0.2245, loss: 0.6789 2023-11-14 18:30:41,783 - mmdet - INFO - Epoch [12][6000/7330] lr: 1.000e-04, eta: 12:45:10, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0339, loss_cls: 0.1713, acc: 93.8335, loss_bbox: 0.2071, loss_mask: 0.2181, loss: 0.6575 2023-11-14 18:30:54,289 - mmdet - INFO - Epoch [12][6050/7330] lr: 1.000e-04, eta: 12:44:56, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0331, loss_cls: 0.1736, acc: 93.9014, loss_bbox: 0.2163, loss_mask: 0.2200, loss: 0.6698 2023-11-14 18:31:07,193 - mmdet - INFO - Epoch [12][6100/7330] lr: 1.000e-04, eta: 12:44:43, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0347, loss_cls: 0.1710, acc: 93.8623, loss_bbox: 0.2127, loss_mask: 0.2157, loss: 0.6591 2023-11-14 18:31:19,994 - mmdet - INFO - Epoch [12][6150/7330] lr: 1.000e-04, eta: 12:44:29, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0349, loss_cls: 0.1742, acc: 93.6851, loss_bbox: 0.2161, loss_mask: 0.2238, loss: 0.6757 2023-11-14 18:31:32,806 - mmdet - INFO - Epoch [12][6200/7330] lr: 1.000e-04, eta: 12:44:16, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0331, loss_cls: 0.1708, acc: 93.7737, loss_bbox: 0.2176, loss_mask: 0.2209, loss: 0.6667 2023-11-14 18:31:45,631 - mmdet - INFO - Epoch [12][6250/7330] lr: 1.000e-04, eta: 12:44:03, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0333, loss_cls: 0.1767, acc: 93.6587, loss_bbox: 0.2177, loss_mask: 0.2218, loss: 0.6766 2023-11-14 18:31:58,221 - mmdet - INFO - Epoch [12][6300/7330] lr: 1.000e-04, eta: 12:43:49, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0317, loss_cls: 0.1649, acc: 94.0039, loss_bbox: 0.2053, loss_mask: 0.2149, loss: 0.6417 2023-11-14 18:32:10,872 - mmdet - INFO - Epoch [12][6350/7330] lr: 1.000e-04, eta: 12:43:36, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0345, loss_cls: 0.1696, acc: 93.8567, loss_bbox: 0.2132, loss_mask: 0.2148, loss: 0.6603 2023-11-14 18:32:23,626 - mmdet - INFO - Epoch [12][6400/7330] lr: 1.000e-04, eta: 12:43:22, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0331, loss_cls: 0.1705, acc: 93.9307, loss_bbox: 0.2099, loss_mask: 0.2182, loss: 0.6553 2023-11-14 18:32:36,161 - mmdet - INFO - Epoch [12][6450/7330] lr: 1.000e-04, eta: 12:43:09, time: 0.251, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0331, loss_cls: 0.1628, acc: 94.0737, loss_bbox: 0.2047, loss_mask: 0.2127, loss: 0.6393 2023-11-14 18:32:48,907 - mmdet - INFO - Epoch [12][6500/7330] lr: 1.000e-04, eta: 12:42:55, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0299, loss_rpn_bbox: 0.0335, loss_cls: 0.1707, acc: 93.8064, loss_bbox: 0.2160, loss_mask: 0.2195, loss: 0.6695 2023-11-14 18:33:01,800 - mmdet - INFO - Epoch [12][6550/7330] lr: 1.000e-04, eta: 12:42:42, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0349, loss_cls: 0.1689, acc: 93.9409, loss_bbox: 0.2085, loss_mask: 0.2176, loss: 0.6552 2023-11-14 18:33:14,508 - mmdet - INFO - Epoch [12][6600/7330] lr: 1.000e-04, eta: 12:42:29, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0362, loss_cls: 0.1773, acc: 93.6128, loss_bbox: 0.2239, loss_mask: 0.2252, loss: 0.6905 2023-11-14 18:33:27,302 - mmdet - INFO - Epoch [12][6650/7330] lr: 1.000e-04, eta: 12:42:15, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0347, loss_cls: 0.1771, acc: 93.5459, loss_bbox: 0.2203, loss_mask: 0.2217, loss: 0.6800 2023-11-14 18:33:40,248 - mmdet - INFO - Epoch [12][6700/7330] lr: 1.000e-04, eta: 12:42:03, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0330, loss_cls: 0.1711, acc: 93.7866, loss_bbox: 0.2130, loss_mask: 0.2172, loss: 0.6607 2023-11-14 18:33:53,075 - mmdet - INFO - Epoch [12][6750/7330] lr: 1.000e-04, eta: 12:41:49, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0320, loss_cls: 0.1695, acc: 93.8052, loss_bbox: 0.2165, loss_mask: 0.2209, loss: 0.6631 2023-11-14 18:34:06,032 - mmdet - INFO - Epoch [12][6800/7330] lr: 1.000e-04, eta: 12:41:36, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0314, loss_cls: 0.1620, acc: 94.1597, loss_bbox: 0.2055, loss_mask: 0.2163, loss: 0.6397 2023-11-14 18:34:18,703 - mmdet - INFO - Epoch [12][6850/7330] lr: 1.000e-04, eta: 12:41:23, time: 0.253, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0279, loss_rpn_bbox: 0.0348, loss_cls: 0.1777, acc: 93.6450, loss_bbox: 0.2171, loss_mask: 0.2235, loss: 0.6810 2023-11-14 18:34:31,317 - mmdet - INFO - Epoch [12][6900/7330] lr: 1.000e-04, eta: 12:41:09, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0353, loss_cls: 0.1740, acc: 93.6973, loss_bbox: 0.2213, loss_mask: 0.2216, loss: 0.6793 2023-11-14 18:34:44,022 - mmdet - INFO - Epoch [12][6950/7330] lr: 1.000e-04, eta: 12:40:56, time: 0.254, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0317, loss_cls: 0.1713, acc: 93.7075, loss_bbox: 0.2142, loss_mask: 0.2229, loss: 0.6642 2023-11-14 18:34:56,634 - mmdet - INFO - Epoch [12][7000/7330] lr: 1.000e-04, eta: 12:40:42, time: 0.252, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0322, loss_cls: 0.1708, acc: 93.9285, loss_bbox: 0.2128, loss_mask: 0.2179, loss: 0.6593 2023-11-14 18:35:09,366 - mmdet - INFO - Epoch [12][7050/7330] lr: 1.000e-04, eta: 12:40:29, time: 0.255, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0332, loss_cls: 0.1730, acc: 93.7114, loss_bbox: 0.2127, loss_mask: 0.2163, loss: 0.6603 2023-11-14 18:35:22,060 - mmdet - INFO - Epoch [12][7100/7330] lr: 1.000e-04, eta: 12:40:15, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0331, loss_cls: 0.1691, acc: 93.8660, loss_bbox: 0.2114, loss_mask: 0.2178, loss: 0.6569 2023-11-14 18:35:34,612 - mmdet - INFO - Epoch [12][7150/7330] lr: 1.000e-04, eta: 12:40:02, time: 0.251, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0301, loss_cls: 0.1644, acc: 94.1692, loss_bbox: 0.2020, loss_mask: 0.2146, loss: 0.6323 2023-11-14 18:35:47,333 - mmdet - INFO - Epoch [12][7200/7330] lr: 1.000e-04, eta: 12:39:48, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0282, loss_rpn_bbox: 0.0360, loss_cls: 0.1841, acc: 93.3333, loss_bbox: 0.2302, loss_mask: 0.2249, loss: 0.7034 2023-11-14 18:36:00,150 - mmdet - INFO - Epoch [12][7250/7330] lr: 1.000e-04, eta: 12:39:35, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0329, loss_cls: 0.1718, acc: 93.8459, loss_bbox: 0.2126, loss_mask: 0.2221, loss: 0.6624 2023-11-14 18:36:12,900 - mmdet - INFO - Epoch [12][7300/7330] lr: 1.000e-04, eta: 12:39:22, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0340, loss_cls: 0.1706, acc: 93.9148, loss_bbox: 0.2126, loss_mask: 0.2181, loss: 0.6625 2023-11-14 18:36:21,161 - mmdet - INFO - Saving checkpoint at 12 epochs 2023-11-14 18:37:05,830 - mmdet - INFO - Evaluating bbox... 2023-11-14 18:37:35,328 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.465 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.687 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.512 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.298 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 ] = 0.606 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.594 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.594 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.594 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.420 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.734 2023-11-14 18:37:35,331 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.574 | bicycle | 0.377 | car | 0.484 | | motorcycle | 0.464 | airplane | 0.689 | bus | 0.687 | | train | 0.681 | truck | 0.427 | boat | 0.325 | | traffic light | 0.305 | fire hydrant | 0.712 | stop sign | 0.671 | | parking meter | 0.508 | bench | 0.291 | bird | 0.401 | | cat | 0.715 | dog | 0.676 | horse | 0.623 | | sheep | 0.575 | cow | 0.626 | elephant | 0.676 | | bear | 0.741 | zebra | 0.685 | giraffe | 0.681 | | backpack | 0.211 | umbrella | 0.445 | handbag | 0.206 | | tie | 0.364 | suitcase | 0.474 | frisbee | 0.675 | | skis | 0.278 | snowboard | 0.388 | sports ball | 0.471 | | kite | 0.436 | baseball bat | 0.401 | baseball glove | 0.424 | | skateboard | 0.590 | surfboard | 0.449 | tennis racket | 0.537 | | bottle | 0.435 | wine glass | 0.410 | cup | 0.487 | | fork | 0.409 | knife | 0.267 | spoon | 0.247 | | bowl | 0.439 | banana | 0.283 | apple | 0.265 | | sandwich | 0.390 | orange | 0.339 | broccoli | 0.247 | | carrot | 0.237 | hot dog | 0.429 | pizza | 0.545 | | donut | 0.534 | cake | 0.416 | chair | 0.343 | | couch | 0.480 | potted plant | 0.343 | bed | 0.479 | | dining table | 0.299 | toilet | 0.654 | tv | 0.616 | | laptop | 0.660 | mouse | 0.654 | remote | 0.415 | | keyboard | 0.560 | cell phone | 0.416 | microwave | 0.589 | | oven | 0.397 | toaster | 0.435 | sink | 0.432 | | refrigerator | 0.633 | book | 0.178 | clock | 0.510 | | vase | 0.400 | scissors | 0.407 | teddy bear | 0.485 | | hair drier | 0.166 | toothbrush | 0.333 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 18:37:35,331 - mmdet - INFO - Evaluating segm... 2023-11-14 18:38:10,171 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.418 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.657 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.449 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.216 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 ] = 0.604 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.541 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 ] = 0.587 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.698 2023-11-14 18:38:10,173 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.496 | bicycle | 0.219 | car | 0.440 | | motorcycle | 0.378 | airplane | 0.546 | bus | 0.670 | | train | 0.678 | truck | 0.416 | boat | 0.294 | | traffic light | 0.296 | fire hydrant | 0.688 | stop sign | 0.665 | | parking meter | 0.525 | bench | 0.224 | bird | 0.326 | | cat | 0.712 | dog | 0.615 | horse | 0.448 | | sheep | 0.507 | cow | 0.528 | elephant | 0.614 | | bear | 0.720 | zebra | 0.589 | giraffe | 0.539 | | backpack | 0.214 | umbrella | 0.511 | handbag | 0.203 | | tie | 0.344 | suitcase | 0.477 | frisbee | 0.630 | | skis | 0.048 | snowboard | 0.254 | sports ball | 0.449 | | kite | 0.321 | baseball bat | 0.286 | baseball glove | 0.442 | | skateboard | 0.357 | surfboard | 0.380 | tennis racket | 0.569 | | bottle | 0.421 | wine glass | 0.373 | cup | 0.483 | | fork | 0.194 | knife | 0.178 | spoon | 0.168 | | bowl | 0.414 | banana | 0.240 | apple | 0.253 | | sandwich | 0.413 | orange | 0.345 | broccoli | 0.236 | | carrot | 0.206 | hot dog | 0.343 | pizza | 0.533 | | donut | 0.555 | cake | 0.442 | chair | 0.242 | | couch | 0.416 | potted plant | 0.290 | bed | 0.383 | | dining table | 0.183 | toilet | 0.639 | tv | 0.651 | | laptop | 0.660 | mouse | 0.639 | remote | 0.368 | | keyboard | 0.534 | cell phone | 0.379 | microwave | 0.630 | | oven | 0.366 | toaster | 0.509 | sink | 0.406 | | refrigerator | 0.634 | book | 0.137 | clock | 0.508 | | vase | 0.391 | scissors | 0.303 | teddy bear | 0.476 | | hair drier | 0.107 | toothbrush | 0.207 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 18:38:10,666 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_11.pth was removed 2023-11-14 18:38:12,213 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_12.pth. 2023-11-14 18:38:12,213 - mmdet - INFO - Best bbox_mAP is 0.4651 at 12 epoch. 2023-11-14 18:38:12,213 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 18:38:12,213 - mmdet - INFO - Epoch(val) [12][625] bbox_mAP: 0.4651, bbox_mAP_50: 0.6872, bbox_mAP_75: 0.5120, bbox_mAP_s: 0.2983, bbox_mAP_m: 0.5108, bbox_mAP_l: 0.6057, bbox_mAP_copypaste: 0.4651 0.6872 0.5120 0.2983 0.5108 0.6057, segm_mAP: 0.4184, segm_mAP_50: 0.6570, segm_mAP_75: 0.4493, segm_mAP_s: 0.2159, segm_mAP_m: 0.4550, segm_mAP_l: 0.6038, segm_mAP_copypaste: 0.4184 0.6570 0.4493 0.2159 0.4550 0.6038 2023-11-14 18:38:28,300 - mmdet - INFO - Epoch [13][50/7330] lr: 1.000e-04, eta: 12:38:52, time: 0.321, data_time: 0.075, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0329, loss_cls: 0.1627, acc: 94.0645, loss_bbox: 0.2035, loss_mask: 0.2156, loss: 0.6391 2023-11-14 18:38:41,107 - mmdet - INFO - Epoch [13][100/7330] lr: 1.000e-04, eta: 12:38:38, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0340, loss_cls: 0.1619, acc: 94.0574, loss_bbox: 0.2105, loss_mask: 0.2156, loss: 0.6463 2023-11-14 18:38:53,983 - mmdet - INFO - Epoch [13][150/7330] lr: 1.000e-04, eta: 12:38:25, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0316, loss_cls: 0.1671, acc: 93.9404, loss_bbox: 0.2088, loss_mask: 0.2212, loss: 0.6556 2023-11-14 18:39:06,880 - mmdet - INFO - Epoch [13][200/7330] lr: 1.000e-04, eta: 12:38:12, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0344, loss_cls: 0.1702, acc: 93.7898, loss_bbox: 0.2155, loss_mask: 0.2163, loss: 0.6613 2023-11-14 18:39:19,779 - mmdet - INFO - Epoch [13][250/7330] lr: 1.000e-04, eta: 12:37:59, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0328, loss_cls: 0.1568, acc: 94.1938, loss_bbox: 0.2011, loss_mask: 0.2141, loss: 0.6278 2023-11-14 18:39:32,600 - mmdet - INFO - Epoch [13][300/7330] lr: 1.000e-04, eta: 12:37:46, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0342, loss_cls: 0.1628, acc: 94.1001, loss_bbox: 0.2053, loss_mask: 0.2191, loss: 0.6466 2023-11-14 18:39:45,519 - mmdet - INFO - Epoch [13][350/7330] lr: 1.000e-04, eta: 12:37:33, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0327, loss_cls: 0.1629, acc: 93.9905, loss_bbox: 0.2140, loss_mask: 0.2203, loss: 0.6538 2023-11-14 18:39:58,821 - mmdet - INFO - Epoch [13][400/7330] lr: 1.000e-04, eta: 12:37:21, time: 0.266, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0351, loss_cls: 0.1704, acc: 93.7866, loss_bbox: 0.2182, loss_mask: 0.2194, loss: 0.6686 2023-11-14 18:40:11,396 - mmdet - INFO - Epoch [13][450/7330] lr: 1.000e-04, eta: 12:37:07, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0355, loss_cls: 0.1713, acc: 93.8069, loss_bbox: 0.2134, loss_mask: 0.2205, loss: 0.6668 2023-11-14 18:40:24,418 - mmdet - INFO - Epoch [13][500/7330] lr: 1.000e-04, eta: 12:36:54, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0331, loss_cls: 0.1729, acc: 93.8267, loss_bbox: 0.2123, loss_mask: 0.2194, loss: 0.6654 2023-11-14 18:40:37,616 - mmdet - INFO - Epoch [13][550/7330] lr: 1.000e-04, eta: 12:36:42, time: 0.264, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0352, loss_cls: 0.1750, acc: 93.6672, loss_bbox: 0.2230, loss_mask: 0.2220, loss: 0.6805 2023-11-14 18:40:50,265 - mmdet - INFO - Epoch [13][600/7330] lr: 1.000e-04, eta: 12:36:28, time: 0.253, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0327, loss_cls: 0.1670, acc: 94.0183, loss_bbox: 0.2112, loss_mask: 0.2214, loss: 0.6578 2023-11-14 18:41:03,004 - mmdet - INFO - Epoch [13][650/7330] lr: 1.000e-04, eta: 12:36:15, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0335, loss_cls: 0.1652, acc: 93.9016, loss_bbox: 0.2150, loss_mask: 0.2184, loss: 0.6559 2023-11-14 18:41:15,721 - mmdet - INFO - Epoch [13][700/7330] lr: 1.000e-04, eta: 12:36:02, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0331, loss_cls: 0.1628, acc: 94.1523, loss_bbox: 0.2074, loss_mask: 0.2133, loss: 0.6409 2023-11-14 18:41:28,730 - mmdet - INFO - Epoch [13][750/7330] lr: 1.000e-04, eta: 12:35:49, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0338, loss_cls: 0.1798, acc: 93.3887, loss_bbox: 0.2246, loss_mask: 0.2238, loss: 0.6866 2023-11-14 18:41:41,472 - mmdet - INFO - Epoch [13][800/7330] lr: 1.000e-04, eta: 12:35:35, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0333, loss_cls: 0.1670, acc: 93.9517, loss_bbox: 0.2103, loss_mask: 0.2190, loss: 0.6537 2023-11-14 18:41:54,482 - mmdet - INFO - Epoch [13][850/7330] lr: 1.000e-04, eta: 12:35:23, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0329, loss_cls: 0.1721, acc: 93.7561, loss_bbox: 0.2168, loss_mask: 0.2154, loss: 0.6614 2023-11-14 18:42:07,306 - mmdet - INFO - Epoch [13][900/7330] lr: 1.000e-04, eta: 12:35:09, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0329, loss_cls: 0.1612, acc: 94.0999, loss_bbox: 0.2082, loss_mask: 0.2116, loss: 0.6378 2023-11-14 18:42:20,324 - mmdet - INFO - Epoch [13][950/7330] lr: 1.000e-04, eta: 12:34:57, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0342, loss_cls: 0.1726, acc: 93.6978, loss_bbox: 0.2226, loss_mask: 0.2177, loss: 0.6737 2023-11-14 18:42:33,223 - mmdet - INFO - Epoch [13][1000/7330] lr: 1.000e-04, eta: 12:34:44, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0323, loss_cls: 0.1627, acc: 93.9761, loss_bbox: 0.2078, loss_mask: 0.2167, loss: 0.6414 2023-11-14 18:42:46,024 - mmdet - INFO - Epoch [13][1050/7330] lr: 1.000e-04, eta: 12:34:30, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0320, loss_cls: 0.1666, acc: 93.9729, loss_bbox: 0.2138, loss_mask: 0.2177, loss: 0.6537 2023-11-14 18:42:59,064 - mmdet - INFO - Epoch [13][1100/7330] lr: 1.000e-04, eta: 12:34:18, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0311, loss_cls: 0.1650, acc: 94.0630, loss_bbox: 0.2076, loss_mask: 0.2189, loss: 0.6459 2023-11-14 18:43:12,104 - mmdet - INFO - Epoch [13][1150/7330] lr: 1.000e-04, eta: 12:34:05, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0348, loss_cls: 0.1693, acc: 93.8074, loss_bbox: 0.2184, loss_mask: 0.2190, loss: 0.6670 2023-11-14 18:43:24,897 - mmdet - INFO - Epoch [13][1200/7330] lr: 1.000e-04, eta: 12:33:52, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0331, loss_cls: 0.1649, acc: 94.0632, loss_bbox: 0.2076, loss_mask: 0.2186, loss: 0.6480 2023-11-14 18:43:37,597 - mmdet - INFO - Epoch [13][1250/7330] lr: 1.000e-04, eta: 12:33:38, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0309, loss_cls: 0.1587, acc: 94.2410, loss_bbox: 0.2028, loss_mask: 0.2108, loss: 0.6284 2023-11-14 18:43:50,637 - mmdet - INFO - Epoch [13][1300/7330] lr: 1.000e-04, eta: 12:33:25, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0347, loss_cls: 0.1748, acc: 93.7168, loss_bbox: 0.2194, loss_mask: 0.2181, loss: 0.6722 2023-11-14 18:44:03,625 - mmdet - INFO - Epoch [13][1350/7330] lr: 1.000e-04, eta: 12:33:13, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0294, loss_rpn_bbox: 0.0345, loss_cls: 0.1693, acc: 93.9097, loss_bbox: 0.2150, loss_mask: 0.2225, loss: 0.6708 2023-11-14 18:44:16,432 - mmdet - INFO - Epoch [13][1400/7330] lr: 1.000e-04, eta: 12:32:59, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0343, loss_cls: 0.1682, acc: 93.9385, loss_bbox: 0.2178, loss_mask: 0.2204, loss: 0.6653 2023-11-14 18:44:29,439 - mmdet - INFO - Epoch [13][1450/7330] lr: 1.000e-04, eta: 12:32:47, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0358, loss_cls: 0.1815, acc: 93.4026, loss_bbox: 0.2276, loss_mask: 0.2266, loss: 0.6993 2023-11-14 18:44:42,216 - mmdet - INFO - Epoch [13][1500/7330] lr: 1.000e-04, eta: 12:32:33, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0297, loss_cls: 0.1512, acc: 94.4229, loss_bbox: 0.2001, loss_mask: 0.2112, loss: 0.6132 2023-11-14 18:44:55,189 - mmdet - INFO - Epoch [13][1550/7330] lr: 1.000e-04, eta: 12:32:20, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0328, loss_cls: 0.1658, acc: 93.9546, loss_bbox: 0.2109, loss_mask: 0.2150, loss: 0.6481 2023-11-14 18:45:07,916 - mmdet - INFO - Epoch [13][1600/7330] lr: 1.000e-04, eta: 12:32:07, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0348, loss_cls: 0.1706, acc: 93.8699, loss_bbox: 0.2139, loss_mask: 0.2203, loss: 0.6662 2023-11-14 18:45:20,641 - mmdet - INFO - Epoch [13][1650/7330] lr: 1.000e-04, eta: 12:31:54, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0330, loss_cls: 0.1679, acc: 93.9846, loss_bbox: 0.2089, loss_mask: 0.2208, loss: 0.6554 2023-11-14 18:45:33,680 - mmdet - INFO - Epoch [13][1700/7330] lr: 1.000e-04, eta: 12:31:41, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0346, loss_cls: 0.1754, acc: 93.6279, loss_bbox: 0.2212, loss_mask: 0.2250, loss: 0.6824 2023-11-14 18:45:46,547 - mmdet - INFO - Epoch [13][1750/7330] lr: 1.000e-04, eta: 12:31:28, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0330, loss_cls: 0.1733, acc: 93.7744, loss_bbox: 0.2176, loss_mask: 0.2160, loss: 0.6642 2023-11-14 18:45:59,259 - mmdet - INFO - Epoch [13][1800/7330] lr: 1.000e-04, eta: 12:31:14, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0329, loss_cls: 0.1690, acc: 93.9688, loss_bbox: 0.2127, loss_mask: 0.2188, loss: 0.6569 2023-11-14 18:46:12,188 - mmdet - INFO - Epoch [13][1850/7330] lr: 1.000e-04, eta: 12:31:01, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0324, loss_cls: 0.1687, acc: 93.9937, loss_bbox: 0.2101, loss_mask: 0.2189, loss: 0.6553 2023-11-14 18:46:25,167 - mmdet - INFO - Epoch [13][1900/7330] lr: 1.000e-04, eta: 12:30:49, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0355, loss_cls: 0.1790, acc: 93.5681, loss_bbox: 0.2212, loss_mask: 0.2201, loss: 0.6822 2023-11-14 18:46:37,941 - mmdet - INFO - Epoch [13][1950/7330] lr: 1.000e-04, eta: 12:30:35, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0335, loss_cls: 0.1668, acc: 93.8760, loss_bbox: 0.2108, loss_mask: 0.2167, loss: 0.6527 2023-11-14 18:46:50,884 - mmdet - INFO - Epoch [13][2000/7330] lr: 1.000e-04, eta: 12:30:22, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0363, loss_cls: 0.1749, acc: 93.6379, loss_bbox: 0.2215, loss_mask: 0.2223, loss: 0.6813 2023-11-14 18:47:04,032 - mmdet - INFO - Epoch [13][2050/7330] lr: 1.000e-04, eta: 12:30:10, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0358, loss_cls: 0.1774, acc: 93.7061, loss_bbox: 0.2174, loss_mask: 0.2251, loss: 0.6826 2023-11-14 18:47:17,097 - mmdet - INFO - Epoch [13][2100/7330] lr: 1.000e-04, eta: 12:29:57, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0347, loss_cls: 0.1752, acc: 93.7542, loss_bbox: 0.2158, loss_mask: 0.2227, loss: 0.6740 2023-11-14 18:47:29,869 - mmdet - INFO - Epoch [13][2150/7330] lr: 1.000e-04, eta: 12:29:44, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0326, loss_cls: 0.1682, acc: 93.8738, loss_bbox: 0.2057, loss_mask: 0.2183, loss: 0.6481 2023-11-14 18:47:43,012 - mmdet - INFO - Epoch [13][2200/7330] lr: 1.000e-04, eta: 12:29:31, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0372, loss_cls: 0.1750, acc: 93.6511, loss_bbox: 0.2178, loss_mask: 0.2217, loss: 0.6772 2023-11-14 18:47:56,111 - mmdet - INFO - Epoch [13][2250/7330] lr: 1.000e-04, eta: 12:29:19, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0326, loss_cls: 0.1625, acc: 94.0139, loss_bbox: 0.2102, loss_mask: 0.2153, loss: 0.6419 2023-11-14 18:48:08,851 - mmdet - INFO - Epoch [13][2300/7330] lr: 1.000e-04, eta: 12:29:05, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0340, loss_cls: 0.1691, acc: 93.8438, loss_bbox: 0.2151, loss_mask: 0.2162, loss: 0.6585 2023-11-14 18:48:21,669 - mmdet - INFO - Epoch [13][2350/7330] lr: 1.000e-04, eta: 12:28:52, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0351, loss_cls: 0.1709, acc: 93.9006, loss_bbox: 0.2088, loss_mask: 0.2136, loss: 0.6529 2023-11-14 18:48:34,479 - mmdet - INFO - Epoch [13][2400/7330] lr: 1.000e-04, eta: 12:28:39, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0340, loss_cls: 0.1650, acc: 94.0315, loss_bbox: 0.2107, loss_mask: 0.2114, loss: 0.6451 2023-11-14 18:48:47,165 - mmdet - INFO - Epoch [13][2450/7330] lr: 1.000e-04, eta: 12:28:25, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0301, loss_cls: 0.1600, acc: 94.2556, loss_bbox: 0.1984, loss_mask: 0.2092, loss: 0.6208 2023-11-14 18:48:59,768 - mmdet - INFO - Epoch [13][2500/7330] lr: 1.000e-04, eta: 12:28:12, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0314, loss_cls: 0.1678, acc: 93.9617, loss_bbox: 0.2101, loss_mask: 0.2185, loss: 0.6523 2023-11-14 18:49:12,639 - mmdet - INFO - Epoch [13][2550/7330] lr: 1.000e-04, eta: 12:27:59, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0314, loss_cls: 0.1692, acc: 93.8423, loss_bbox: 0.2111, loss_mask: 0.2180, loss: 0.6540 2023-11-14 18:49:25,489 - mmdet - INFO - Epoch [13][2600/7330] lr: 1.000e-04, eta: 12:27:46, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0332, loss_cls: 0.1714, acc: 93.7822, loss_bbox: 0.2180, loss_mask: 0.2205, loss: 0.6680 2023-11-14 18:49:38,173 - mmdet - INFO - Epoch [13][2650/7330] lr: 1.000e-04, eta: 12:27:32, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0318, loss_cls: 0.1647, acc: 94.0005, loss_bbox: 0.2121, loss_mask: 0.2182, loss: 0.6500 2023-11-14 18:49:51,153 - mmdet - INFO - Epoch [13][2700/7330] lr: 1.000e-04, eta: 12:27:19, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0344, loss_cls: 0.1772, acc: 93.6377, loss_bbox: 0.2205, loss_mask: 0.2205, loss: 0.6783 2023-11-14 18:50:04,011 - mmdet - INFO - Epoch [13][2750/7330] lr: 1.000e-04, eta: 12:27:06, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0353, loss_cls: 0.1711, acc: 93.7314, loss_bbox: 0.2169, loss_mask: 0.2220, loss: 0.6713 2023-11-14 18:50:16,567 - mmdet - INFO - Epoch [13][2800/7330] lr: 1.000e-04, eta: 12:26:53, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0322, loss_cls: 0.1762, acc: 93.7380, loss_bbox: 0.2168, loss_mask: 0.2149, loss: 0.6642 2023-11-14 18:50:29,466 - mmdet - INFO - Epoch [13][2850/7330] lr: 1.000e-04, eta: 12:26:40, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0363, loss_cls: 0.1785, acc: 93.4844, loss_bbox: 0.2246, loss_mask: 0.2231, loss: 0.6894 2023-11-14 18:50:42,401 - mmdet - INFO - Epoch [13][2900/7330] lr: 1.000e-04, eta: 12:26:27, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0363, loss_cls: 0.1711, acc: 93.7104, loss_bbox: 0.2186, loss_mask: 0.2226, loss: 0.6743 2023-11-14 18:50:54,957 - mmdet - INFO - Epoch [13][2950/7330] lr: 1.000e-04, eta: 12:26:13, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0303, loss_cls: 0.1615, acc: 94.1538, loss_bbox: 0.2031, loss_mask: 0.2122, loss: 0.6305 2023-11-14 18:51:07,804 - mmdet - INFO - Epoch [13][3000/7330] lr: 1.000e-04, eta: 12:26:00, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0319, loss_cls: 0.1687, acc: 93.9060, loss_bbox: 0.2123, loss_mask: 0.2124, loss: 0.6486 2023-11-14 18:51:20,735 - mmdet - INFO - Epoch [13][3050/7330] lr: 1.000e-04, eta: 12:25:47, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0318, loss_cls: 0.1681, acc: 93.9631, loss_bbox: 0.2080, loss_mask: 0.2152, loss: 0.6455 2023-11-14 18:51:33,658 - mmdet - INFO - Epoch [13][3100/7330] lr: 1.000e-04, eta: 12:25:34, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0347, loss_cls: 0.1745, acc: 93.7000, loss_bbox: 0.2209, loss_mask: 0.2175, loss: 0.6749 2023-11-14 18:51:46,935 - mmdet - INFO - Epoch [13][3150/7330] lr: 1.000e-04, eta: 12:25:22, time: 0.266, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0336, loss_cls: 0.1647, acc: 94.0747, loss_bbox: 0.2100, loss_mask: 0.2146, loss: 0.6471 2023-11-14 18:51:59,595 - mmdet - INFO - Epoch [13][3200/7330] lr: 1.000e-04, eta: 12:25:08, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0343, loss_cls: 0.1673, acc: 93.9844, loss_bbox: 0.2138, loss_mask: 0.2189, loss: 0.6596 2023-11-14 18:52:12,535 - mmdet - INFO - Epoch [13][3250/7330] lr: 1.000e-04, eta: 12:24:55, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0343, loss_cls: 0.1733, acc: 93.7222, loss_bbox: 0.2144, loss_mask: 0.2178, loss: 0.6646 2023-11-14 18:52:25,334 - mmdet - INFO - Epoch [13][3300/7330] lr: 1.000e-04, eta: 12:24:42, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0291, loss_rpn_bbox: 0.0363, loss_cls: 0.1788, acc: 93.5503, loss_bbox: 0.2212, loss_mask: 0.2277, loss: 0.6930 2023-11-14 18:52:37,997 - mmdet - INFO - Epoch [13][3350/7330] lr: 1.000e-04, eta: 12:24:28, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0314, loss_cls: 0.1620, acc: 94.1047, loss_bbox: 0.2071, loss_mask: 0.2171, loss: 0.6408 2023-11-14 18:52:50,774 - mmdet - INFO - Epoch [13][3400/7330] lr: 1.000e-04, eta: 12:24:15, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0328, loss_cls: 0.1706, acc: 93.8877, loss_bbox: 0.2119, loss_mask: 0.2149, loss: 0.6548 2023-11-14 18:53:03,609 - mmdet - INFO - Epoch [13][3450/7330] lr: 1.000e-04, eta: 12:24:02, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0330, loss_cls: 0.1647, acc: 94.0820, loss_bbox: 0.2033, loss_mask: 0.2114, loss: 0.6409 2023-11-14 18:53:16,188 - mmdet - INFO - Epoch [13][3500/7330] lr: 1.000e-04, eta: 12:23:48, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0326, loss_cls: 0.1706, acc: 93.7886, loss_bbox: 0.2148, loss_mask: 0.2170, loss: 0.6610 2023-11-14 18:53:29,376 - mmdet - INFO - Epoch [13][3550/7330] lr: 1.000e-04, eta: 12:23:36, time: 0.264, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0357, loss_cls: 0.1751, acc: 93.6575, loss_bbox: 0.2200, loss_mask: 0.2196, loss: 0.6761 2023-11-14 18:53:42,122 - mmdet - INFO - Epoch [13][3600/7330] lr: 1.000e-04, eta: 12:23:23, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0337, loss_cls: 0.1737, acc: 93.6985, loss_bbox: 0.2167, loss_mask: 0.2231, loss: 0.6731 2023-11-14 18:53:54,766 - mmdet - INFO - Epoch [13][3650/7330] lr: 1.000e-04, eta: 12:23:09, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0319, loss_cls: 0.1676, acc: 93.9495, loss_bbox: 0.2056, loss_mask: 0.2208, loss: 0.6498 2023-11-14 18:54:07,643 - mmdet - INFO - Epoch [13][3700/7330] lr: 1.000e-04, eta: 12:22:56, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0337, loss_cls: 0.1682, acc: 93.8784, loss_bbox: 0.2123, loss_mask: 0.2171, loss: 0.6564 2023-11-14 18:54:20,671 - mmdet - INFO - Epoch [13][3750/7330] lr: 1.000e-04, eta: 12:22:43, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0346, loss_cls: 0.1691, acc: 93.8645, loss_bbox: 0.2149, loss_mask: 0.2205, loss: 0.6653 2023-11-14 18:54:33,593 - mmdet - INFO - Epoch [13][3800/7330] lr: 1.000e-04, eta: 12:22:30, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0327, loss_cls: 0.1710, acc: 93.8967, loss_bbox: 0.2110, loss_mask: 0.2193, loss: 0.6594 2023-11-14 18:54:46,398 - mmdet - INFO - Epoch [13][3850/7330] lr: 1.000e-04, eta: 12:22:17, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0323, loss_cls: 0.1631, acc: 94.1470, loss_bbox: 0.2043, loss_mask: 0.2141, loss: 0.6372 2023-11-14 18:54:59,089 - mmdet - INFO - Epoch [13][3900/7330] lr: 1.000e-04, eta: 12:22:04, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0318, loss_cls: 0.1671, acc: 94.1003, loss_bbox: 0.2068, loss_mask: 0.2146, loss: 0.6447 2023-11-14 18:55:11,907 - mmdet - INFO - Epoch [13][3950/7330] lr: 1.000e-04, eta: 12:21:50, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0321, loss_cls: 0.1621, acc: 94.1858, loss_bbox: 0.2068, loss_mask: 0.2174, loss: 0.6420 2023-11-14 18:55:24,789 - mmdet - INFO - Epoch [13][4000/7330] lr: 1.000e-04, eta: 12:21:37, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0350, loss_cls: 0.1674, acc: 93.8884, loss_bbox: 0.2131, loss_mask: 0.2165, loss: 0.6597 2023-11-14 18:55:37,587 - mmdet - INFO - Epoch [13][4050/7330] lr: 1.000e-04, eta: 12:21:24, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0352, loss_cls: 0.1731, acc: 93.6653, loss_bbox: 0.2204, loss_mask: 0.2148, loss: 0.6692 2023-11-14 18:55:50,183 - mmdet - INFO - Epoch [13][4100/7330] lr: 1.000e-04, eta: 12:21:11, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0314, loss_cls: 0.1611, acc: 94.2146, loss_bbox: 0.2063, loss_mask: 0.2132, loss: 0.6330 2023-11-14 18:56:02,787 - mmdet - INFO - Epoch [13][4150/7330] lr: 1.000e-04, eta: 12:20:57, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0302, loss_cls: 0.1567, acc: 94.4058, loss_bbox: 0.1935, loss_mask: 0.2110, loss: 0.6148 2023-11-14 18:56:15,808 - mmdet - INFO - Epoch [13][4200/7330] lr: 1.000e-04, eta: 12:20:44, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0365, loss_cls: 0.1809, acc: 93.5803, loss_bbox: 0.2250, loss_mask: 0.2274, loss: 0.6964 2023-11-14 18:56:28,553 - mmdet - INFO - Epoch [13][4250/7330] lr: 1.000e-04, eta: 12:20:31, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0345, loss_cls: 0.1735, acc: 93.7344, loss_bbox: 0.2207, loss_mask: 0.2204, loss: 0.6761 2023-11-14 18:56:41,095 - mmdet - INFO - Epoch [13][4300/7330] lr: 1.000e-04, eta: 12:20:17, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0337, loss_cls: 0.1692, acc: 93.7903, loss_bbox: 0.2134, loss_mask: 0.2178, loss: 0.6588 2023-11-14 18:56:53,888 - mmdet - INFO - Epoch [13][4350/7330] lr: 1.000e-04, eta: 12:20:04, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0344, loss_cls: 0.1661, acc: 94.0105, loss_bbox: 0.2082, loss_mask: 0.2197, loss: 0.6539 2023-11-14 18:57:06,740 - mmdet - INFO - Epoch [13][4400/7330] lr: 1.000e-04, eta: 12:19:51, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0341, loss_cls: 0.1719, acc: 93.7341, loss_bbox: 0.2153, loss_mask: 0.2186, loss: 0.6642 2023-11-14 18:57:19,337 - mmdet - INFO - Epoch [13][4450/7330] lr: 1.000e-04, eta: 12:19:37, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0317, loss_cls: 0.1721, acc: 93.9070, loss_bbox: 0.2124, loss_mask: 0.2234, loss: 0.6647 2023-11-14 18:57:32,354 - mmdet - INFO - Epoch [13][4500/7330] lr: 1.000e-04, eta: 12:19:25, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0327, loss_cls: 0.1666, acc: 94.0244, loss_bbox: 0.2106, loss_mask: 0.2167, loss: 0.6495 2023-11-14 18:57:45,076 - mmdet - INFO - Epoch [13][4550/7330] lr: 1.000e-04, eta: 12:19:11, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0336, loss_cls: 0.1707, acc: 93.8245, loss_bbox: 0.2176, loss_mask: 0.2183, loss: 0.6658 2023-11-14 18:57:57,955 - mmdet - INFO - Epoch [13][4600/7330] lr: 1.000e-04, eta: 12:18:58, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0351, loss_cls: 0.1777, acc: 93.6709, loss_bbox: 0.2214, loss_mask: 0.2240, loss: 0.6832 2023-11-14 18:58:10,801 - mmdet - INFO - Epoch [13][4650/7330] lr: 1.000e-04, eta: 12:18:45, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0343, loss_cls: 0.1722, acc: 93.8867, loss_bbox: 0.2168, loss_mask: 0.2196, loss: 0.6675 2023-11-14 18:58:23,417 - mmdet - INFO - Epoch [13][4700/7330] lr: 1.000e-04, eta: 12:18:32, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0310, loss_cls: 0.1626, acc: 94.1631, loss_bbox: 0.2013, loss_mask: 0.2113, loss: 0.6286 2023-11-14 18:58:36,107 - mmdet - INFO - Epoch [13][4750/7330] lr: 1.000e-04, eta: 12:18:18, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0332, loss_cls: 0.1687, acc: 93.8169, loss_bbox: 0.2122, loss_mask: 0.2196, loss: 0.6578 2023-11-14 18:58:48,884 - mmdet - INFO - Epoch [13][4800/7330] lr: 1.000e-04, eta: 12:18:05, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0314, loss_cls: 0.1662, acc: 94.0239, loss_bbox: 0.2053, loss_mask: 0.2154, loss: 0.6427 2023-11-14 18:59:01,749 - mmdet - INFO - Epoch [13][4850/7330] lr: 1.000e-04, eta: 12:17:52, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0326, loss_cls: 0.1714, acc: 93.8269, loss_bbox: 0.2201, loss_mask: 0.2176, loss: 0.6657 2023-11-14 18:59:14,407 - mmdet - INFO - Epoch [13][4900/7330] lr: 1.000e-04, eta: 12:17:38, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0347, loss_cls: 0.1802, acc: 93.5959, loss_bbox: 0.2231, loss_mask: 0.2237, loss: 0.6871 2023-11-14 18:59:26,992 - mmdet - INFO - Epoch [13][4950/7330] lr: 1.000e-04, eta: 12:17:25, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0340, loss_cls: 0.1707, acc: 93.8682, loss_bbox: 0.2154, loss_mask: 0.2184, loss: 0.6646 2023-11-14 18:59:39,748 - mmdet - INFO - Epoch [13][5000/7330] lr: 1.000e-04, eta: 12:17:11, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0316, loss_cls: 0.1580, acc: 94.3196, loss_bbox: 0.2017, loss_mask: 0.2158, loss: 0.6304 2023-11-14 18:59:52,471 - mmdet - INFO - Epoch [13][5050/7330] lr: 1.000e-04, eta: 12:16:58, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0315, loss_cls: 0.1552, acc: 94.4233, loss_bbox: 0.2002, loss_mask: 0.2144, loss: 0.6251 2023-11-14 19:00:05,195 - mmdet - INFO - Epoch [13][5100/7330] lr: 1.000e-04, eta: 12:16:45, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0327, loss_cls: 0.1736, acc: 93.8306, loss_bbox: 0.2119, loss_mask: 0.2191, loss: 0.6622 2023-11-14 19:00:17,830 - mmdet - INFO - Epoch [13][5150/7330] lr: 1.000e-04, eta: 12:16:31, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0331, loss_cls: 0.1652, acc: 93.9863, loss_bbox: 0.2106, loss_mask: 0.2158, loss: 0.6474 2023-11-14 19:00:30,668 - mmdet - INFO - Epoch [13][5200/7330] lr: 1.000e-04, eta: 12:16:18, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0331, loss_cls: 0.1626, acc: 94.1531, loss_bbox: 0.2042, loss_mask: 0.2140, loss: 0.6399 2023-11-14 19:00:43,520 - mmdet - INFO - Epoch [13][5250/7330] lr: 1.000e-04, eta: 12:16:05, time: 0.257, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0316, loss_cls: 0.1600, acc: 94.2305, loss_bbox: 0.2025, loss_mask: 0.2113, loss: 0.6296 2023-11-14 19:00:56,197 - mmdet - INFO - Epoch [13][5300/7330] lr: 1.000e-04, eta: 12:15:52, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0294, loss_cls: 0.1575, acc: 94.2793, loss_bbox: 0.1980, loss_mask: 0.2136, loss: 0.6206 2023-11-14 19:01:08,925 - mmdet - INFO - Epoch [13][5350/7330] lr: 1.000e-04, eta: 12:15:38, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0349, loss_cls: 0.1700, acc: 93.8396, loss_bbox: 0.2162, loss_mask: 0.2180, loss: 0.6663 2023-11-14 19:01:21,607 - mmdet - INFO - Epoch [13][5400/7330] lr: 1.000e-04, eta: 12:15:25, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0361, loss_cls: 0.1801, acc: 93.4558, loss_bbox: 0.2256, loss_mask: 0.2212, loss: 0.6882 2023-11-14 19:01:34,339 - mmdet - INFO - Epoch [13][5450/7330] lr: 1.000e-04, eta: 12:15:12, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0325, loss_cls: 0.1651, acc: 94.0188, loss_bbox: 0.2102, loss_mask: 0.2191, loss: 0.6517 2023-11-14 19:01:47,250 - mmdet - INFO - Epoch [13][5500/7330] lr: 1.000e-04, eta: 12:14:59, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0340, loss_cls: 0.1707, acc: 93.8118, loss_bbox: 0.2179, loss_mask: 0.2275, loss: 0.6763 2023-11-14 19:02:00,016 - mmdet - INFO - Epoch [13][5550/7330] lr: 1.000e-04, eta: 12:14:45, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0288, loss_rpn_bbox: 0.0356, loss_cls: 0.1787, acc: 93.6484, loss_bbox: 0.2196, loss_mask: 0.2232, loss: 0.6859 2023-11-14 19:02:12,807 - mmdet - INFO - Epoch [13][5600/7330] lr: 1.000e-04, eta: 12:14:32, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0332, loss_cls: 0.1785, acc: 93.5557, loss_bbox: 0.2199, loss_mask: 0.2185, loss: 0.6758 2023-11-14 19:02:25,533 - mmdet - INFO - Epoch [13][5650/7330] lr: 1.000e-04, eta: 12:14:19, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0353, loss_cls: 0.1691, acc: 93.9062, loss_bbox: 0.2134, loss_mask: 0.2193, loss: 0.6620 2023-11-14 19:02:38,566 - mmdet - INFO - Epoch [13][5700/7330] lr: 1.000e-04, eta: 12:14:06, time: 0.261, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0331, loss_cls: 0.1681, acc: 93.9248, loss_bbox: 0.2084, loss_mask: 0.2204, loss: 0.6552 2023-11-14 19:02:51,247 - mmdet - INFO - Epoch [13][5750/7330] lr: 1.000e-04, eta: 12:13:53, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1732, acc: 93.6057, loss_bbox: 0.2232, loss_mask: 0.2205, loss: 0.6726 2023-11-14 19:03:03,899 - mmdet - INFO - Epoch [13][5800/7330] lr: 1.000e-04, eta: 12:13:39, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0334, loss_cls: 0.1713, acc: 93.7974, loss_bbox: 0.2135, loss_mask: 0.2199, loss: 0.6632 2023-11-14 19:03:16,478 - mmdet - INFO - Epoch [13][5850/7330] lr: 1.000e-04, eta: 12:13:26, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0334, loss_cls: 0.1701, acc: 93.8135, loss_bbox: 0.2137, loss_mask: 0.2195, loss: 0.6623 2023-11-14 19:03:29,234 - mmdet - INFO - Epoch [13][5900/7330] lr: 1.000e-04, eta: 12:13:12, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0346, loss_cls: 0.1678, acc: 93.8621, loss_bbox: 0.2121, loss_mask: 0.2194, loss: 0.6604 2023-11-14 19:03:42,130 - mmdet - INFO - Epoch [13][5950/7330] lr: 1.000e-04, eta: 12:12:59, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0360, loss_cls: 0.1882, acc: 93.2139, loss_bbox: 0.2228, loss_mask: 0.2259, loss: 0.7002 2023-11-14 19:03:55,089 - mmdet - INFO - Epoch [13][6000/7330] lr: 1.000e-04, eta: 12:12:46, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0357, loss_cls: 0.1714, acc: 93.8467, loss_bbox: 0.2177, loss_mask: 0.2204, loss: 0.6712 2023-11-14 19:04:07,712 - mmdet - INFO - Epoch [13][6050/7330] lr: 1.000e-04, eta: 12:12:33, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1630, acc: 94.0723, loss_bbox: 0.2068, loss_mask: 0.2134, loss: 0.6397 2023-11-14 19:04:20,406 - mmdet - INFO - Epoch [13][6100/7330] lr: 1.000e-04, eta: 12:12:20, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0337, loss_cls: 0.1703, acc: 93.8560, loss_bbox: 0.2106, loss_mask: 0.2176, loss: 0.6564 2023-11-14 19:04:33,156 - mmdet - INFO - Epoch [13][6150/7330] lr: 1.000e-04, eta: 12:12:06, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0335, loss_cls: 0.1732, acc: 93.7368, loss_bbox: 0.2156, loss_mask: 0.2154, loss: 0.6641 2023-11-14 19:04:45,810 - mmdet - INFO - Epoch [13][6200/7330] lr: 1.000e-04, eta: 12:11:53, time: 0.253, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0309, loss_cls: 0.1662, acc: 94.0730, loss_bbox: 0.2109, loss_mask: 0.2198, loss: 0.6489 2023-11-14 19:04:58,758 - mmdet - INFO - Epoch [13][6250/7330] lr: 1.000e-04, eta: 12:11:40, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0355, loss_cls: 0.1791, acc: 93.5789, loss_bbox: 0.2205, loss_mask: 0.2222, loss: 0.6847 2023-11-14 19:05:11,630 - mmdet - INFO - Epoch [13][6300/7330] lr: 1.000e-04, eta: 12:11:27, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0349, loss_cls: 0.1797, acc: 93.5369, loss_bbox: 0.2220, loss_mask: 0.2193, loss: 0.6827 2023-11-14 19:05:24,952 - mmdet - INFO - Epoch [13][6350/7330] lr: 1.000e-04, eta: 12:11:15, time: 0.266, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0362, loss_cls: 0.1753, acc: 93.6506, loss_bbox: 0.2187, loss_mask: 0.2197, loss: 0.6752 2023-11-14 19:05:37,837 - mmdet - INFO - Epoch [13][6400/7330] lr: 1.000e-04, eta: 12:11:02, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0330, loss_cls: 0.1661, acc: 94.0168, loss_bbox: 0.2104, loss_mask: 0.2184, loss: 0.6539 2023-11-14 19:05:50,695 - mmdet - INFO - Epoch [13][6450/7330] lr: 1.000e-04, eta: 12:10:49, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0340, loss_cls: 0.1651, acc: 94.0198, loss_bbox: 0.2072, loss_mask: 0.2232, loss: 0.6544 2023-11-14 19:06:03,482 - mmdet - INFO - Epoch [13][6500/7330] lr: 1.000e-04, eta: 12:10:35, time: 0.256, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0339, loss_cls: 0.1698, acc: 93.9785, loss_bbox: 0.2097, loss_mask: 0.2196, loss: 0.6587 2023-11-14 19:06:16,380 - mmdet - INFO - Epoch [13][6550/7330] lr: 1.000e-04, eta: 12:10:22, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0337, loss_cls: 0.1676, acc: 93.9912, loss_bbox: 0.2116, loss_mask: 0.2158, loss: 0.6550 2023-11-14 19:06:29,317 - mmdet - INFO - Epoch [13][6600/7330] lr: 1.000e-04, eta: 12:10:09, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0338, loss_cls: 0.1701, acc: 93.8042, loss_bbox: 0.2179, loss_mask: 0.2273, loss: 0.6743 2023-11-14 19:06:42,141 - mmdet - INFO - Epoch [13][6650/7330] lr: 1.000e-04, eta: 12:09:56, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0344, loss_cls: 0.1728, acc: 93.6919, loss_bbox: 0.2153, loss_mask: 0.2202, loss: 0.6690 2023-11-14 19:06:54,807 - mmdet - INFO - Epoch [13][6700/7330] lr: 1.000e-04, eta: 12:09:43, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0318, loss_cls: 0.1697, acc: 93.8447, loss_bbox: 0.2113, loss_mask: 0.2194, loss: 0.6552 2023-11-14 19:07:07,428 - mmdet - INFO - Epoch [13][6750/7330] lr: 1.000e-04, eta: 12:09:29, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0333, loss_cls: 0.1742, acc: 93.6750, loss_bbox: 0.2168, loss_mask: 0.2185, loss: 0.6673 2023-11-14 19:07:20,196 - mmdet - INFO - Epoch [13][6800/7330] lr: 1.000e-04, eta: 12:09:16, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0334, loss_cls: 0.1733, acc: 93.5913, loss_bbox: 0.2185, loss_mask: 0.2197, loss: 0.6708 2023-11-14 19:07:33,169 - mmdet - INFO - Epoch [13][6850/7330] lr: 1.000e-04, eta: 12:09:03, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0343, loss_cls: 0.1756, acc: 93.6809, loss_bbox: 0.2203, loss_mask: 0.2152, loss: 0.6703 2023-11-14 19:07:45,977 - mmdet - INFO - Epoch [13][6900/7330] lr: 1.000e-04, eta: 12:08:50, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0297, loss_rpn_bbox: 0.0350, loss_cls: 0.1876, acc: 93.4138, loss_bbox: 0.2210, loss_mask: 0.2196, loss: 0.6930 2023-11-14 19:07:58,942 - mmdet - INFO - Epoch [13][6950/7330] lr: 1.000e-04, eta: 12:08:37, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0320, loss_cls: 0.1646, acc: 94.0635, loss_bbox: 0.2058, loss_mask: 0.2143, loss: 0.6416 2023-11-14 19:08:11,873 - mmdet - INFO - Epoch [13][7000/7330] lr: 1.000e-04, eta: 12:08:24, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0339, loss_cls: 0.1673, acc: 93.8604, loss_bbox: 0.2095, loss_mask: 0.2149, loss: 0.6496 2023-11-14 19:08:24,595 - mmdet - INFO - Epoch [13][7050/7330] lr: 1.000e-04, eta: 12:08:11, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0334, loss_cls: 0.1754, acc: 93.6875, loss_bbox: 0.2141, loss_mask: 0.2179, loss: 0.6682 2023-11-14 19:08:37,343 - mmdet - INFO - Epoch [13][7100/7330] lr: 1.000e-04, eta: 12:07:58, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0327, loss_cls: 0.1680, acc: 93.8816, loss_bbox: 0.2108, loss_mask: 0.2152, loss: 0.6507 2023-11-14 19:08:50,350 - mmdet - INFO - Epoch [13][7150/7330] lr: 1.000e-04, eta: 12:07:45, time: 0.260, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0345, loss_cls: 0.1730, acc: 93.7026, loss_bbox: 0.2168, loss_mask: 0.2205, loss: 0.6700 2023-11-14 19:09:03,158 - mmdet - INFO - Epoch [13][7200/7330] lr: 1.000e-04, eta: 12:07:32, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0327, loss_cls: 0.1701, acc: 93.8435, loss_bbox: 0.2149, loss_mask: 0.2202, loss: 0.6635 2023-11-14 19:09:15,633 - mmdet - INFO - Epoch [13][7250/7330] lr: 1.000e-04, eta: 12:07:18, time: 0.250, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0313, loss_cls: 0.1638, acc: 94.0823, loss_bbox: 0.2108, loss_mask: 0.2147, loss: 0.6426 2023-11-14 19:09:28,389 - mmdet - INFO - Epoch [13][7300/7330] lr: 1.000e-04, eta: 12:07:05, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0324, loss_cls: 0.1689, acc: 93.8843, loss_bbox: 0.2133, loss_mask: 0.2163, loss: 0.6546 2023-11-14 19:09:36,587 - mmdet - INFO - Saving checkpoint at 13 epochs 2023-11-14 19:10:21,374 - mmdet - INFO - Evaluating bbox... 2023-11-14 19:10:50,921 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.465 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.685 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.312 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 ] = 0.605 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.591 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 ] = 0.631 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.727 2023-11-14 19:10:50,923 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.574 | bicycle | 0.373 | car | 0.489 | | motorcycle | 0.494 | airplane | 0.677 | bus | 0.687 | | train | 0.667 | truck | 0.406 | boat | 0.319 | | traffic light | 0.298 | fire hydrant | 0.701 | stop sign | 0.682 | | parking meter | 0.492 | bench | 0.290 | bird | 0.410 | | cat | 0.729 | dog | 0.678 | horse | 0.642 | | sheep | 0.575 | cow | 0.618 | elephant | 0.688 | | bear | 0.713 | zebra | 0.680 | giraffe | 0.680 | | backpack | 0.221 | umbrella | 0.437 | handbag | 0.210 | | tie | 0.375 | suitcase | 0.454 | frisbee | 0.677 | | skis | 0.291 | snowboard | 0.414 | sports ball | 0.466 | | kite | 0.449 | baseball bat | 0.379 | baseball glove | 0.402 | | skateboard | 0.587 | surfboard | 0.454 | tennis racket | 0.544 | | bottle | 0.433 | wine glass | 0.410 | cup | 0.485 | | fork | 0.432 | knife | 0.257 | spoon | 0.256 | | bowl | 0.457 | banana | 0.287 | apple | 0.226 | | sandwich | 0.402 | orange | 0.351 | broccoli | 0.232 | | carrot | 0.237 | hot dog | 0.459 | pizza | 0.557 | | donut | 0.526 | cake | 0.420 | chair | 0.353 | | couch | 0.492 | potted plant | 0.328 | bed | 0.467 | | dining table | 0.302 | toilet | 0.646 | tv | 0.617 | | laptop | 0.675 | mouse | 0.664 | remote | 0.393 | | keyboard | 0.560 | cell phone | 0.437 | microwave | 0.646 | | oven | 0.387 | toaster | 0.401 | sink | 0.438 | | refrigerator | 0.639 | book | 0.178 | clock | 0.503 | | vase | 0.413 | scissors | 0.350 | teddy bear | 0.503 | | hair drier | 0.080 | toothbrush | 0.345 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 19:10:50,924 - mmdet - INFO - Evaluating segm... 2023-11-14 19:11:24,002 - 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 ] = 0.657 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.448 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.233 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.451 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.605 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.537 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.537 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.537 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 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 2023-11-14 19:11:24,004 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.499 | bicycle | 0.218 | car | 0.449 | | motorcycle | 0.392 | airplane | 0.531 | bus | 0.683 | | train | 0.654 | truck | 0.393 | boat | 0.291 | | traffic light | 0.291 | fire hydrant | 0.685 | stop sign | 0.679 | | parking meter | 0.494 | bench | 0.212 | bird | 0.332 | | cat | 0.713 | dog | 0.642 | horse | 0.468 | | sheep | 0.518 | cow | 0.532 | elephant | 0.630 | | bear | 0.721 | zebra | 0.584 | giraffe | 0.543 | | backpack | 0.228 | umbrella | 0.512 | handbag | 0.200 | | tie | 0.348 | suitcase | 0.469 | frisbee | 0.664 | | skis | 0.052 | snowboard | 0.282 | sports ball | 0.456 | | kite | 0.306 | baseball bat | 0.286 | baseball glove | 0.434 | | skateboard | 0.366 | surfboard | 0.370 | tennis racket | 0.569 | | bottle | 0.414 | wine glass | 0.353 | cup | 0.486 | | fork | 0.213 | knife | 0.181 | spoon | 0.173 | | bowl | 0.426 | banana | 0.231 | apple | 0.223 | | sandwich | 0.436 | orange | 0.346 | broccoli | 0.225 | | carrot | 0.217 | hot dog | 0.390 | pizza | 0.540 | | donut | 0.548 | cake | 0.423 | chair | 0.252 | | couch | 0.415 | potted plant | 0.280 | bed | 0.373 | | dining table | 0.164 | toilet | 0.631 | tv | 0.637 | | laptop | 0.663 | mouse | 0.647 | remote | 0.355 | | keyboard | 0.539 | cell phone | 0.406 | microwave | 0.658 | | oven | 0.366 | toaster | 0.468 | sink | 0.410 | | refrigerator | 0.650 | book | 0.134 | clock | 0.502 | | vase | 0.402 | scissors | 0.256 | teddy bear | 0.493 | | hair drier | 0.090 | toothbrush | 0.230 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 19:11:24,441 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 19:11:24,442 - mmdet - INFO - Epoch(val) [13][625] bbox_mAP: 0.4646, bbox_mAP_50: 0.6852, bbox_mAP_75: 0.5137, bbox_mAP_s: 0.3122, bbox_mAP_m: 0.5012, bbox_mAP_l: 0.6054, bbox_mAP_copypaste: 0.4646 0.6852 0.5137 0.3122 0.5012 0.6054, segm_mAP: 0.4193, segm_mAP_50: 0.6565, segm_mAP_75: 0.4478, segm_mAP_s: 0.2332, segm_mAP_m: 0.4515, segm_mAP_l: 0.6053, segm_mAP_copypaste: 0.4193 0.6565 0.4478 0.2332 0.4515 0.6053 2023-11-14 19:11:42,957 - mmdet - INFO - Epoch [14][50/7330] lr: 1.000e-04, eta: 12:06:40, time: 0.370, data_time: 0.118, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0346, loss_cls: 0.1675, acc: 93.7810, loss_bbox: 0.2128, loss_mask: 0.2148, loss: 0.6546 2023-11-14 19:11:56,057 - mmdet - INFO - Epoch [14][100/7330] lr: 1.000e-04, eta: 12:06:27, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0339, loss_cls: 0.1666, acc: 93.9265, loss_bbox: 0.2092, loss_mask: 0.2189, loss: 0.6530 2023-11-14 19:12:09,377 - mmdet - INFO - Epoch [14][150/7330] lr: 1.000e-04, eta: 12:06:15, time: 0.266, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0322, loss_cls: 0.1609, acc: 94.1140, loss_bbox: 0.2065, loss_mask: 0.2166, loss: 0.6397 2023-11-14 19:12:22,414 - mmdet - INFO - Epoch [14][200/7330] lr: 1.000e-04, eta: 12:06:02, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0319, loss_cls: 0.1620, acc: 94.1670, loss_bbox: 0.1998, loss_mask: 0.2112, loss: 0.6277 2023-11-14 19:12:35,431 - mmdet - INFO - Epoch [14][250/7330] lr: 1.000e-04, eta: 12:05:50, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0323, loss_cls: 0.1654, acc: 93.9417, loss_bbox: 0.2073, loss_mask: 0.2143, loss: 0.6437 2023-11-14 19:12:48,527 - mmdet - INFO - Epoch [14][300/7330] lr: 1.000e-04, eta: 12:05:37, time: 0.262, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0313, loss_cls: 0.1539, acc: 94.3704, loss_bbox: 0.2030, loss_mask: 0.2161, loss: 0.6274 2023-11-14 19:13:01,467 - mmdet - INFO - Epoch [14][350/7330] lr: 1.000e-04, eta: 12:05:24, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0333, loss_cls: 0.1636, acc: 94.0667, loss_bbox: 0.2066, loss_mask: 0.2149, loss: 0.6406 2023-11-14 19:13:14,759 - mmdet - INFO - Epoch [14][400/7330] lr: 1.000e-04, eta: 12:05:12, time: 0.266, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0340, loss_cls: 0.1692, acc: 93.8181, loss_bbox: 0.2148, loss_mask: 0.2192, loss: 0.6626 2023-11-14 19:13:27,690 - mmdet - INFO - Epoch [14][450/7330] lr: 1.000e-04, eta: 12:04:59, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0288, loss_cls: 0.1603, acc: 94.2803, loss_bbox: 0.1966, loss_mask: 0.2060, loss: 0.6144 2023-11-14 19:13:40,866 - mmdet - INFO - Epoch [14][500/7330] lr: 1.000e-04, eta: 12:04:46, time: 0.264, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0341, loss_cls: 0.1694, acc: 93.8306, loss_bbox: 0.2126, loss_mask: 0.2177, loss: 0.6589 2023-11-14 19:13:54,124 - mmdet - INFO - Epoch [14][550/7330] lr: 1.000e-04, eta: 12:04:34, time: 0.265, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0342, loss_cls: 0.1693, acc: 93.8811, loss_bbox: 0.2151, loss_mask: 0.2159, loss: 0.6593 2023-11-14 19:14:07,329 - mmdet - INFO - Epoch [14][600/7330] lr: 1.000e-04, eta: 12:04:21, time: 0.264, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0328, loss_cls: 0.1669, acc: 93.8503, loss_bbox: 0.2130, loss_mask: 0.2171, loss: 0.6540 2023-11-14 19:14:20,397 - mmdet - INFO - Epoch [14][650/7330] lr: 1.000e-04, eta: 12:04:09, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0349, loss_cls: 0.1693, acc: 93.8489, loss_bbox: 0.2113, loss_mask: 0.2186, loss: 0.6595 2023-11-14 19:14:33,408 - mmdet - INFO - Epoch [14][700/7330] lr: 1.000e-04, eta: 12:03:56, time: 0.260, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0319, loss_cls: 0.1636, acc: 94.0371, loss_bbox: 0.2047, loss_mask: 0.2123, loss: 0.6377 2023-11-14 19:14:46,264 - mmdet - INFO - Epoch [14][750/7330] lr: 1.000e-04, eta: 12:03:43, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0335, loss_cls: 0.1662, acc: 93.9368, loss_bbox: 0.2078, loss_mask: 0.2159, loss: 0.6451 2023-11-14 19:14:58,988 - mmdet - INFO - Epoch [14][800/7330] lr: 1.000e-04, eta: 12:03:29, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0286, loss_cls: 0.1569, acc: 94.3123, loss_bbox: 0.1981, loss_mask: 0.2116, loss: 0.6164 2023-11-14 19:15:12,067 - mmdet - INFO - Epoch [14][850/7330] lr: 1.000e-04, eta: 12:03:17, time: 0.262, data_time: 0.020, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0332, loss_cls: 0.1653, acc: 93.8618, loss_bbox: 0.2103, loss_mask: 0.2159, loss: 0.6488 2023-11-14 19:15:25,070 - mmdet - INFO - Epoch [14][900/7330] lr: 1.000e-04, eta: 12:03:04, time: 0.260, data_time: 0.019, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0353, loss_cls: 0.1745, acc: 93.6372, loss_bbox: 0.2193, loss_mask: 0.2191, loss: 0.6747 2023-11-14 19:15:38,007 - mmdet - INFO - Epoch [14][950/7330] lr: 1.000e-04, eta: 12:02:51, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0314, loss_cls: 0.1631, acc: 94.0476, loss_bbox: 0.2086, loss_mask: 0.2223, loss: 0.6501 2023-11-14 19:15:51,005 - mmdet - INFO - Epoch [14][1000/7330] lr: 1.000e-04, eta: 12:02:38, time: 0.260, data_time: 0.019, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0324, loss_cls: 0.1609, acc: 94.1545, loss_bbox: 0.2070, loss_mask: 0.2117, loss: 0.6360 2023-11-14 19:16:04,045 - mmdet - INFO - Epoch [14][1050/7330] lr: 1.000e-04, eta: 12:02:25, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0332, loss_cls: 0.1711, acc: 93.7454, loss_bbox: 0.2142, loss_mask: 0.2158, loss: 0.6591 2023-11-14 19:16:16,849 - mmdet - INFO - Epoch [14][1100/7330] lr: 1.000e-04, eta: 12:02:12, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0325, loss_cls: 0.1581, acc: 94.1021, loss_bbox: 0.2074, loss_mask: 0.2117, loss: 0.6330 2023-11-14 19:16:29,766 - mmdet - INFO - Epoch [14][1150/7330] lr: 1.000e-04, eta: 12:01:59, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0326, loss_cls: 0.1662, acc: 93.9504, loss_bbox: 0.2101, loss_mask: 0.2166, loss: 0.6499 2023-11-14 19:16:42,457 - mmdet - INFO - Epoch [14][1200/7330] lr: 1.000e-04, eta: 12:01:46, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0348, loss_cls: 0.1745, acc: 93.5405, loss_bbox: 0.2209, loss_mask: 0.2199, loss: 0.6742 2023-11-14 19:16:55,628 - mmdet - INFO - Epoch [14][1250/7330] lr: 1.000e-04, eta: 12:01:33, time: 0.263, data_time: 0.019, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0337, loss_cls: 0.1711, acc: 93.7534, loss_bbox: 0.2136, loss_mask: 0.2144, loss: 0.6572 2023-11-14 19:17:08,332 - mmdet - INFO - Epoch [14][1300/7330] lr: 1.000e-04, eta: 12:01:20, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0335, loss_cls: 0.1736, acc: 93.6663, loss_bbox: 0.2198, loss_mask: 0.2151, loss: 0.6668 2023-11-14 19:17:21,050 - mmdet - INFO - Epoch [14][1350/7330] lr: 1.000e-04, eta: 12:01:07, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0327, loss_cls: 0.1746, acc: 93.6765, loss_bbox: 0.2177, loss_mask: 0.2191, loss: 0.6697 2023-11-14 19:17:34,220 - mmdet - INFO - Epoch [14][1400/7330] lr: 1.000e-04, eta: 12:00:54, time: 0.263, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0329, loss_cls: 0.1738, acc: 93.6870, loss_bbox: 0.2169, loss_mask: 0.2186, loss: 0.6674 2023-11-14 19:17:47,339 - mmdet - INFO - Epoch [14][1450/7330] lr: 1.000e-04, eta: 12:00:42, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0328, loss_cls: 0.1702, acc: 93.8662, loss_bbox: 0.2136, loss_mask: 0.2198, loss: 0.6611 2023-11-14 19:18:00,372 - mmdet - INFO - Epoch [14][1500/7330] lr: 1.000e-04, eta: 12:00:29, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0335, loss_cls: 0.1726, acc: 93.9255, loss_bbox: 0.2097, loss_mask: 0.2118, loss: 0.6500 2023-11-14 19:18:13,364 - mmdet - INFO - Epoch [14][1550/7330] lr: 1.000e-04, eta: 12:00:16, time: 0.260, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0336, loss_cls: 0.1622, acc: 94.0723, loss_bbox: 0.2095, loss_mask: 0.2139, loss: 0.6423 2023-11-14 19:18:26,386 - mmdet - INFO - Epoch [14][1600/7330] lr: 1.000e-04, eta: 12:00:03, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0349, loss_cls: 0.1753, acc: 93.6079, loss_bbox: 0.2167, loss_mask: 0.2172, loss: 0.6709 2023-11-14 19:18:39,567 - mmdet - INFO - Epoch [14][1650/7330] lr: 1.000e-04, eta: 11:59:51, time: 0.264, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0348, loss_cls: 0.1730, acc: 93.7644, loss_bbox: 0.2145, loss_mask: 0.2189, loss: 0.6647 2023-11-14 19:18:52,508 - mmdet - INFO - Epoch [14][1700/7330] lr: 1.000e-04, eta: 11:59:38, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0331, loss_cls: 0.1733, acc: 93.7461, loss_bbox: 0.2168, loss_mask: 0.2154, loss: 0.6648 2023-11-14 19:19:05,373 - mmdet - INFO - Epoch [14][1750/7330] lr: 1.000e-04, eta: 11:59:25, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0318, loss_cls: 0.1623, acc: 94.1296, loss_bbox: 0.2014, loss_mask: 0.2118, loss: 0.6323 2023-11-14 19:19:18,003 - mmdet - INFO - Epoch [14][1800/7330] lr: 1.000e-04, eta: 11:59:11, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0344, loss_cls: 0.1665, acc: 94.0725, loss_bbox: 0.2091, loss_mask: 0.2167, loss: 0.6512 2023-11-14 19:19:30,896 - mmdet - INFO - Epoch [14][1850/7330] lr: 1.000e-04, eta: 11:58:58, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0346, loss_cls: 0.1701, acc: 93.8723, loss_bbox: 0.2117, loss_mask: 0.2177, loss: 0.6600 2023-11-14 19:19:44,060 - mmdet - INFO - Epoch [14][1900/7330] lr: 1.000e-04, eta: 11:58:46, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0358, loss_cls: 0.1725, acc: 93.8040, loss_bbox: 0.2143, loss_mask: 0.2202, loss: 0.6691 2023-11-14 19:19:57,154 - mmdet - INFO - Epoch [14][1950/7330] lr: 1.000e-04, eta: 11:58:33, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0349, loss_cls: 0.1680, acc: 93.8354, loss_bbox: 0.2143, loss_mask: 0.2210, loss: 0.6636 2023-11-14 19:20:10,110 - mmdet - INFO - Epoch [14][2000/7330] lr: 1.000e-04, eta: 11:58:20, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0333, loss_cls: 0.1625, acc: 93.9961, loss_bbox: 0.2069, loss_mask: 0.2136, loss: 0.6389 2023-11-14 19:20:23,087 - mmdet - INFO - Epoch [14][2050/7330] lr: 1.000e-04, eta: 11:58:07, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0353, loss_cls: 0.1654, acc: 93.9622, loss_bbox: 0.2109, loss_mask: 0.2171, loss: 0.6520 2023-11-14 19:20:36,048 - mmdet - INFO - Epoch [14][2100/7330] lr: 1.000e-04, eta: 11:57:54, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0311, loss_cls: 0.1549, acc: 94.4236, loss_bbox: 0.2005, loss_mask: 0.2114, loss: 0.6194 2023-11-14 19:20:48,875 - mmdet - INFO - Epoch [14][2150/7330] lr: 1.000e-04, eta: 11:57:41, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0325, loss_cls: 0.1671, acc: 93.9316, loss_bbox: 0.2055, loss_mask: 0.2104, loss: 0.6390 2023-11-14 19:21:01,733 - mmdet - INFO - Epoch [14][2200/7330] lr: 1.000e-04, eta: 11:57:28, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0335, loss_cls: 0.1697, acc: 93.9404, loss_bbox: 0.2129, loss_mask: 0.2127, loss: 0.6536 2023-11-14 19:21:14,762 - mmdet - INFO - Epoch [14][2250/7330] lr: 1.000e-04, eta: 11:57:15, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0347, loss_cls: 0.1715, acc: 93.7854, loss_bbox: 0.2183, loss_mask: 0.2168, loss: 0.6680 2023-11-14 19:21:27,609 - mmdet - INFO - Epoch [14][2300/7330] lr: 1.000e-04, eta: 11:57:02, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0333, loss_cls: 0.1625, acc: 94.1052, loss_bbox: 0.2081, loss_mask: 0.2135, loss: 0.6416 2023-11-14 19:21:40,513 - mmdet - INFO - Epoch [14][2350/7330] lr: 1.000e-04, eta: 11:56:49, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0330, loss_cls: 0.1671, acc: 93.9939, loss_bbox: 0.2093, loss_mask: 0.2170, loss: 0.6519 2023-11-14 19:21:53,760 - mmdet - INFO - Epoch [14][2400/7330] lr: 1.000e-04, eta: 11:56:37, time: 0.265, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0317, loss_cls: 0.1651, acc: 93.9741, loss_bbox: 0.2106, loss_mask: 0.2146, loss: 0.6454 2023-11-14 19:22:06,818 - mmdet - INFO - Epoch [14][2450/7330] lr: 1.000e-04, eta: 11:56:24, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0303, loss_cls: 0.1572, acc: 94.3416, loss_bbox: 0.1974, loss_mask: 0.2109, loss: 0.6185 2023-11-14 19:22:20,100 - mmdet - INFO - Epoch [14][2500/7330] lr: 1.000e-04, eta: 11:56:12, time: 0.266, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0343, loss_cls: 0.1693, acc: 93.8542, loss_bbox: 0.2158, loss_mask: 0.2183, loss: 0.6648 2023-11-14 19:22:33,067 - mmdet - INFO - Epoch [14][2550/7330] lr: 1.000e-04, eta: 11:55:59, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0343, loss_cls: 0.1651, acc: 94.0601, loss_bbox: 0.2123, loss_mask: 0.2193, loss: 0.6566 2023-11-14 19:22:45,641 - mmdet - INFO - Epoch [14][2600/7330] lr: 1.000e-04, eta: 11:55:45, time: 0.251, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0333, loss_cls: 0.1657, acc: 94.0078, loss_bbox: 0.2096, loss_mask: 0.2195, loss: 0.6533 2023-11-14 19:22:58,716 - mmdet - INFO - Epoch [14][2650/7330] lr: 1.000e-04, eta: 11:55:33, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0346, loss_cls: 0.1692, acc: 93.8672, loss_bbox: 0.2150, loss_mask: 0.2145, loss: 0.6582 2023-11-14 19:23:11,878 - mmdet - INFO - Epoch [14][2700/7330] lr: 1.000e-04, eta: 11:55:20, time: 0.263, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0342, loss_cls: 0.1647, acc: 93.9592, loss_bbox: 0.2086, loss_mask: 0.2155, loss: 0.6493 2023-11-14 19:23:24,744 - mmdet - INFO - Epoch [14][2750/7330] lr: 1.000e-04, eta: 11:55:07, time: 0.257, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0312, loss_cls: 0.1600, acc: 94.1816, loss_bbox: 0.2023, loss_mask: 0.2122, loss: 0.6279 2023-11-14 19:23:37,575 - mmdet - INFO - Epoch [14][2800/7330] lr: 1.000e-04, eta: 11:54:54, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0328, loss_cls: 0.1602, acc: 94.2449, loss_bbox: 0.2022, loss_mask: 0.2145, loss: 0.6350 2023-11-14 19:23:50,041 - mmdet - INFO - Epoch [14][2850/7330] lr: 1.000e-04, eta: 11:54:40, time: 0.249, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0334, loss_cls: 0.1676, acc: 93.9377, loss_bbox: 0.2142, loss_mask: 0.2185, loss: 0.6577 2023-11-14 19:24:02,891 - mmdet - INFO - Epoch [14][2900/7330] lr: 1.000e-04, eta: 11:54:27, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0334, loss_cls: 0.1652, acc: 93.9880, loss_bbox: 0.2074, loss_mask: 0.2165, loss: 0.6470 2023-11-14 19:24:15,812 - mmdet - INFO - Epoch [14][2950/7330] lr: 1.000e-04, eta: 11:54:14, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0366, loss_cls: 0.1720, acc: 93.7754, loss_bbox: 0.2219, loss_mask: 0.2264, loss: 0.6838 2023-11-14 19:24:28,530 - mmdet - INFO - Epoch [14][3000/7330] lr: 1.000e-04, eta: 11:54:01, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0318, loss_cls: 0.1672, acc: 93.8911, loss_bbox: 0.2059, loss_mask: 0.2170, loss: 0.6455 2023-11-14 19:24:41,303 - mmdet - INFO - Epoch [14][3050/7330] lr: 1.000e-04, eta: 11:53:48, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0326, loss_cls: 0.1568, acc: 94.3005, loss_bbox: 0.2015, loss_mask: 0.2165, loss: 0.6306 2023-11-14 19:24:54,137 - mmdet - INFO - Epoch [14][3100/7330] lr: 1.000e-04, eta: 11:53:35, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0335, loss_cls: 0.1705, acc: 93.8213, loss_bbox: 0.2172, loss_mask: 0.2215, loss: 0.6678 2023-11-14 19:25:06,955 - mmdet - INFO - Epoch [14][3150/7330] lr: 1.000e-04, eta: 11:53:21, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0320, loss_cls: 0.1667, acc: 94.0181, loss_bbox: 0.2066, loss_mask: 0.2157, loss: 0.6467 2023-11-14 19:25:19,885 - mmdet - INFO - Epoch [14][3200/7330] lr: 1.000e-04, eta: 11:53:08, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0350, loss_cls: 0.1742, acc: 93.6519, loss_bbox: 0.2177, loss_mask: 0.2211, loss: 0.6732 2023-11-14 19:25:32,732 - mmdet - INFO - Epoch [14][3250/7330] lr: 1.000e-04, eta: 11:52:55, time: 0.257, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0336, loss_cls: 0.1671, acc: 94.0132, loss_bbox: 0.2140, loss_mask: 0.2202, loss: 0.6585 2023-11-14 19:25:45,639 - mmdet - INFO - Epoch [14][3300/7330] lr: 1.000e-04, eta: 11:52:42, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0330, loss_cls: 0.1631, acc: 94.1433, loss_bbox: 0.2051, loss_mask: 0.2118, loss: 0.6355 2023-11-14 19:25:58,453 - mmdet - INFO - Epoch [14][3350/7330] lr: 1.000e-04, eta: 11:52:29, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0326, loss_cls: 0.1668, acc: 94.0198, loss_bbox: 0.2070, loss_mask: 0.2171, loss: 0.6475 2023-11-14 19:26:11,169 - mmdet - INFO - Epoch [14][3400/7330] lr: 1.000e-04, eta: 11:52:16, time: 0.254, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0324, loss_cls: 0.1697, acc: 93.8674, loss_bbox: 0.2089, loss_mask: 0.2152, loss: 0.6505 2023-11-14 19:26:23,930 - mmdet - INFO - Epoch [14][3450/7330] lr: 1.000e-04, eta: 11:52:03, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0320, loss_cls: 0.1677, acc: 93.8445, loss_bbox: 0.2135, loss_mask: 0.2223, loss: 0.6609 2023-11-14 19:26:36,678 - mmdet - INFO - Epoch [14][3500/7330] lr: 1.000e-04, eta: 11:51:50, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0357, loss_cls: 0.1742, acc: 93.7073, loss_bbox: 0.2177, loss_mask: 0.2200, loss: 0.6747 2023-11-14 19:26:49,647 - mmdet - INFO - Epoch [14][3550/7330] lr: 1.000e-04, eta: 11:51:37, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0348, loss_cls: 0.1684, acc: 93.8491, loss_bbox: 0.2147, loss_mask: 0.2231, loss: 0.6672 2023-11-14 19:27:02,673 - mmdet - INFO - Epoch [14][3600/7330] lr: 1.000e-04, eta: 11:51:24, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0337, loss_cls: 0.1666, acc: 94.0017, loss_bbox: 0.2125, loss_mask: 0.2240, loss: 0.6614 2023-11-14 19:27:15,360 - mmdet - INFO - Epoch [14][3650/7330] lr: 1.000e-04, eta: 11:51:10, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0331, loss_cls: 0.1682, acc: 93.9685, loss_bbox: 0.2132, loss_mask: 0.2150, loss: 0.6559 2023-11-14 19:27:28,290 - mmdet - INFO - Epoch [14][3700/7330] lr: 1.000e-04, eta: 11:50:58, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0328, loss_cls: 0.1656, acc: 93.9631, loss_bbox: 0.2073, loss_mask: 0.2130, loss: 0.6408 2023-11-14 19:27:41,119 - mmdet - INFO - Epoch [14][3750/7330] lr: 1.000e-04, eta: 11:50:44, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0329, loss_cls: 0.1634, acc: 94.0630, loss_bbox: 0.2030, loss_mask: 0.2123, loss: 0.6365 2023-11-14 19:27:53,748 - mmdet - INFO - Epoch [14][3800/7330] lr: 1.000e-04, eta: 11:50:31, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0330, loss_cls: 0.1649, acc: 94.0840, loss_bbox: 0.2082, loss_mask: 0.2150, loss: 0.6465 2023-11-14 19:28:06,696 - mmdet - INFO - Epoch [14][3850/7330] lr: 1.000e-04, eta: 11:50:18, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0356, loss_cls: 0.1708, acc: 93.7786, loss_bbox: 0.2246, loss_mask: 0.2199, loss: 0.6751 2023-11-14 19:28:19,642 - mmdet - INFO - Epoch [14][3900/7330] lr: 1.000e-04, eta: 11:50:05, time: 0.259, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0342, loss_cls: 0.1700, acc: 93.7844, loss_bbox: 0.2144, loss_mask: 0.2126, loss: 0.6560 2023-11-14 19:28:32,491 - mmdet - INFO - Epoch [14][3950/7330] lr: 1.000e-04, eta: 11:49:52, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0356, loss_cls: 0.1763, acc: 93.7131, loss_bbox: 0.2183, loss_mask: 0.2193, loss: 0.6756 2023-11-14 19:28:45,348 - mmdet - INFO - Epoch [14][4000/7330] lr: 1.000e-04, eta: 11:49:39, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0327, loss_cls: 0.1689, acc: 94.0916, loss_bbox: 0.2112, loss_mask: 0.2178, loss: 0.6547 2023-11-14 19:28:58,039 - mmdet - INFO - Epoch [14][4050/7330] lr: 1.000e-04, eta: 11:49:26, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0304, loss_cls: 0.1606, acc: 94.2034, loss_bbox: 0.2037, loss_mask: 0.2140, loss: 0.6317 2023-11-14 19:29:10,553 - mmdet - INFO - Epoch [14][4100/7330] lr: 1.000e-04, eta: 11:49:12, time: 0.250, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0325, loss_cls: 0.1669, acc: 93.9504, loss_bbox: 0.2077, loss_mask: 0.2126, loss: 0.6433 2023-11-14 19:29:23,394 - mmdet - INFO - Epoch [14][4150/7330] lr: 1.000e-04, eta: 11:48:59, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0357, loss_cls: 0.1754, acc: 93.6960, loss_bbox: 0.2179, loss_mask: 0.2223, loss: 0.6789 2023-11-14 19:29:36,290 - mmdet - INFO - Epoch [14][4200/7330] lr: 1.000e-04, eta: 11:48:46, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0333, loss_cls: 0.1621, acc: 94.0732, loss_bbox: 0.2105, loss_mask: 0.2136, loss: 0.6419 2023-11-14 19:29:48,931 - mmdet - INFO - Epoch [14][4250/7330] lr: 1.000e-04, eta: 11:48:33, time: 0.253, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0322, loss_cls: 0.1630, acc: 94.0144, loss_bbox: 0.2095, loss_mask: 0.2149, loss: 0.6427 2023-11-14 19:30:01,590 - mmdet - INFO - Epoch [14][4300/7330] lr: 1.000e-04, eta: 11:48:19, time: 0.253, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0339, loss_cls: 0.1666, acc: 93.9695, loss_bbox: 0.2020, loss_mask: 0.2124, loss: 0.6408 2023-11-14 19:30:14,432 - mmdet - INFO - Epoch [14][4350/7330] lr: 1.000e-04, eta: 11:48:06, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0329, loss_cls: 0.1609, acc: 94.0574, loss_bbox: 0.2019, loss_mask: 0.2129, loss: 0.6319 2023-11-14 19:30:27,314 - mmdet - INFO - Epoch [14][4400/7330] lr: 1.000e-04, eta: 11:47:53, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0347, loss_cls: 0.1737, acc: 93.7156, loss_bbox: 0.2139, loss_mask: 0.2230, loss: 0.6708 2023-11-14 19:30:40,237 - mmdet - INFO - Epoch [14][4450/7330] lr: 1.000e-04, eta: 11:47:40, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0327, loss_cls: 0.1693, acc: 93.9268, loss_bbox: 0.2101, loss_mask: 0.2142, loss: 0.6513 2023-11-14 19:30:52,935 - mmdet - INFO - Epoch [14][4500/7330] lr: 1.000e-04, eta: 11:47:27, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0323, loss_cls: 0.1685, acc: 93.8975, loss_bbox: 0.2115, loss_mask: 0.2158, loss: 0.6519 2023-11-14 19:31:05,853 - mmdet - INFO - Epoch [14][4550/7330] lr: 1.000e-04, eta: 11:47:14, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0353, loss_cls: 0.1788, acc: 93.4895, loss_bbox: 0.2237, loss_mask: 0.2207, loss: 0.6830 2023-11-14 19:31:18,517 - mmdet - INFO - Epoch [14][4600/7330] lr: 1.000e-04, eta: 11:47:00, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0300, loss_cls: 0.1566, acc: 94.4058, loss_bbox: 0.1965, loss_mask: 0.2111, loss: 0.6183 2023-11-14 19:31:31,624 - mmdet - INFO - Epoch [14][4650/7330] lr: 1.000e-04, eta: 11:46:48, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0344, loss_cls: 0.1631, acc: 94.0505, loss_bbox: 0.2069, loss_mask: 0.2146, loss: 0.6442 2023-11-14 19:31:44,136 - mmdet - INFO - Epoch [14][4700/7330] lr: 1.000e-04, eta: 11:46:34, time: 0.250, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0294, loss_cls: 0.1526, acc: 94.4565, loss_bbox: 0.1982, loss_mask: 0.2079, loss: 0.6086 2023-11-14 19:31:56,853 - mmdet - INFO - Epoch [14][4750/7330] lr: 1.000e-04, eta: 11:46:21, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0328, loss_cls: 0.1725, acc: 93.8237, loss_bbox: 0.2175, loss_mask: 0.2210, loss: 0.6677 2023-11-14 19:32:09,723 - mmdet - INFO - Epoch [14][4800/7330] lr: 1.000e-04, eta: 11:46:08, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0332, loss_cls: 0.1615, acc: 94.1418, loss_bbox: 0.2072, loss_mask: 0.2160, loss: 0.6424 2023-11-14 19:32:22,825 - mmdet - INFO - Epoch [14][4850/7330] lr: 1.000e-04, eta: 11:45:55, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0285, loss_rpn_bbox: 0.0365, loss_cls: 0.1752, acc: 93.6687, loss_bbox: 0.2184, loss_mask: 0.2243, loss: 0.6829 2023-11-14 19:32:35,604 - mmdet - INFO - Epoch [14][4900/7330] lr: 1.000e-04, eta: 11:45:42, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0357, loss_cls: 0.1856, acc: 93.2886, loss_bbox: 0.2261, loss_mask: 0.2227, loss: 0.6953 2023-11-14 19:32:48,423 - mmdet - INFO - Epoch [14][4950/7330] lr: 1.000e-04, eta: 11:45:29, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0314, loss_cls: 0.1676, acc: 93.9570, loss_bbox: 0.2086, loss_mask: 0.2089, loss: 0.6411 2023-11-14 19:33:01,253 - mmdet - INFO - Epoch [14][5000/7330] lr: 1.000e-04, eta: 11:45:16, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0344, loss_cls: 0.1736, acc: 93.7822, loss_bbox: 0.2188, loss_mask: 0.2180, loss: 0.6699 2023-11-14 19:33:14,154 - mmdet - INFO - Epoch [14][5050/7330] lr: 1.000e-04, eta: 11:45:03, time: 0.258, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0340, loss_cls: 0.1668, acc: 93.9534, loss_bbox: 0.2086, loss_mask: 0.2152, loss: 0.6490 2023-11-14 19:33:27,095 - mmdet - INFO - Epoch [14][5100/7330] lr: 1.000e-04, eta: 11:44:50, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0336, loss_cls: 0.1718, acc: 93.8245, loss_bbox: 0.2124, loss_mask: 0.2148, loss: 0.6552 2023-11-14 19:33:39,857 - mmdet - INFO - Epoch [14][5150/7330] lr: 1.000e-04, eta: 11:44:37, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0350, loss_cls: 0.1740, acc: 93.7205, loss_bbox: 0.2181, loss_mask: 0.2174, loss: 0.6708 2023-11-14 19:33:52,785 - mmdet - INFO - Epoch [14][5200/7330] lr: 1.000e-04, eta: 11:44:24, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0321, loss_cls: 0.1674, acc: 93.9136, loss_bbox: 0.2112, loss_mask: 0.2162, loss: 0.6497 2023-11-14 19:34:05,699 - mmdet - INFO - Epoch [14][5250/7330] lr: 1.000e-04, eta: 11:44:11, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0348, loss_cls: 0.1802, acc: 93.6235, loss_bbox: 0.2170, loss_mask: 0.2171, loss: 0.6744 2023-11-14 19:34:18,526 - mmdet - INFO - Epoch [14][5300/7330] lr: 1.000e-04, eta: 11:43:58, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0333, loss_cls: 0.1702, acc: 93.8608, loss_bbox: 0.2138, loss_mask: 0.2210, loss: 0.6649 2023-11-14 19:34:31,266 - mmdet - INFO - Epoch [14][5350/7330] lr: 1.000e-04, eta: 11:43:44, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0333, loss_cls: 0.1702, acc: 93.8220, loss_bbox: 0.2100, loss_mask: 0.2165, loss: 0.6532 2023-11-14 19:34:44,247 - mmdet - INFO - Epoch [14][5400/7330] lr: 1.000e-04, eta: 11:43:31, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0318, loss_cls: 0.1664, acc: 93.9077, loss_bbox: 0.2132, loss_mask: 0.2168, loss: 0.6520 2023-11-14 19:34:56,984 - mmdet - INFO - Epoch [14][5450/7330] lr: 1.000e-04, eta: 11:43:18, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0341, loss_cls: 0.1644, acc: 94.0042, loss_bbox: 0.2136, loss_mask: 0.2174, loss: 0.6540 2023-11-14 19:35:10,070 - mmdet - INFO - Epoch [14][5500/7330] lr: 1.000e-04, eta: 11:43:06, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0346, loss_cls: 0.1743, acc: 93.6926, loss_bbox: 0.2183, loss_mask: 0.2181, loss: 0.6715 2023-11-14 19:35:22,880 - mmdet - INFO - Epoch [14][5550/7330] lr: 1.000e-04, eta: 11:42:52, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0332, loss_cls: 0.1714, acc: 93.8438, loss_bbox: 0.2145, loss_mask: 0.2199, loss: 0.6626 2023-11-14 19:35:35,627 - mmdet - INFO - Epoch [14][5600/7330] lr: 1.000e-04, eta: 11:42:39, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0336, loss_cls: 0.1695, acc: 93.7727, loss_bbox: 0.2134, loss_mask: 0.2194, loss: 0.6601 2023-11-14 19:35:48,247 - mmdet - INFO - Epoch [14][5650/7330] lr: 1.000e-04, eta: 11:42:26, time: 0.252, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0349, loss_cls: 0.1709, acc: 93.8279, loss_bbox: 0.2116, loss_mask: 0.2168, loss: 0.6598 2023-11-14 19:36:01,021 - mmdet - INFO - Epoch [14][5700/7330] lr: 1.000e-04, eta: 11:42:13, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0335, loss_cls: 0.1762, acc: 93.6799, loss_bbox: 0.2227, loss_mask: 0.2266, loss: 0.6853 2023-11-14 19:36:13,431 - mmdet - INFO - Epoch [14][5750/7330] lr: 1.000e-04, eta: 11:41:59, time: 0.248, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0285, loss_cls: 0.1641, acc: 94.1802, loss_bbox: 0.2066, loss_mask: 0.2128, loss: 0.6350 2023-11-14 19:36:26,244 - mmdet - INFO - Epoch [14][5800/7330] lr: 1.000e-04, eta: 11:41:46, time: 0.256, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0325, loss_cls: 0.1607, acc: 94.2454, loss_bbox: 0.1997, loss_mask: 0.2139, loss: 0.6319 2023-11-14 19:36:39,352 - mmdet - INFO - Epoch [14][5850/7330] lr: 1.000e-04, eta: 11:41:33, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0338, loss_cls: 0.1725, acc: 93.7336, loss_bbox: 0.2145, loss_mask: 0.2242, loss: 0.6689 2023-11-14 19:36:52,355 - mmdet - INFO - Epoch [14][5900/7330] lr: 1.000e-04, eta: 11:41:20, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0337, loss_cls: 0.1722, acc: 93.8606, loss_bbox: 0.2134, loss_mask: 0.2137, loss: 0.6584 2023-11-14 19:37:05,059 - mmdet - INFO - Epoch [14][5950/7330] lr: 1.000e-04, eta: 11:41:07, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0323, loss_cls: 0.1700, acc: 93.8513, loss_bbox: 0.2192, loss_mask: 0.2158, loss: 0.6642 2023-11-14 19:37:18,473 - mmdet - INFO - Epoch [14][6000/7330] lr: 1.000e-04, eta: 11:40:55, time: 0.268, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0329, loss_cls: 0.1652, acc: 94.0745, loss_bbox: 0.2115, loss_mask: 0.2172, loss: 0.6500 2023-11-14 19:37:31,628 - mmdet - INFO - Epoch [14][6050/7330] lr: 1.000e-04, eta: 11:40:42, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0269, loss_rpn_bbox: 0.0333, loss_cls: 0.1680, acc: 93.9158, loss_bbox: 0.2106, loss_mask: 0.2151, loss: 0.6539 2023-11-14 19:37:44,675 - mmdet - INFO - Epoch [14][6100/7330] lr: 1.000e-04, eta: 11:40:29, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0345, loss_cls: 0.1602, acc: 94.1594, loss_bbox: 0.2035, loss_mask: 0.2140, loss: 0.6378 2023-11-14 19:37:57,880 - mmdet - INFO - Epoch [14][6150/7330] lr: 1.000e-04, eta: 11:40:17, time: 0.264, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0323, loss_cls: 0.1672, acc: 94.0374, loss_bbox: 0.2069, loss_mask: 0.2137, loss: 0.6458 2023-11-14 19:38:10,837 - mmdet - INFO - Epoch [14][6200/7330] lr: 1.000e-04, eta: 11:40:04, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0330, loss_cls: 0.1740, acc: 93.6782, loss_bbox: 0.2174, loss_mask: 0.2173, loss: 0.6654 2023-11-14 19:38:24,086 - mmdet - INFO - Epoch [14][6250/7330] lr: 1.000e-04, eta: 11:39:52, time: 0.265, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0309, loss_cls: 0.1618, acc: 94.1021, loss_bbox: 0.2046, loss_mask: 0.2181, loss: 0.6382 2023-11-14 19:38:37,164 - mmdet - INFO - Epoch [14][6300/7330] lr: 1.000e-04, eta: 11:39:39, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0319, loss_cls: 0.1714, acc: 93.8855, loss_bbox: 0.2096, loss_mask: 0.2140, loss: 0.6501 2023-11-14 19:38:50,467 - mmdet - INFO - Epoch [14][6350/7330] lr: 1.000e-04, eta: 11:39:27, time: 0.266, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0326, loss_cls: 0.1668, acc: 93.9602, loss_bbox: 0.2075, loss_mask: 0.2190, loss: 0.6495 2023-11-14 19:39:03,597 - mmdet - INFO - Epoch [14][6400/7330] lr: 1.000e-04, eta: 11:39:14, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0348, loss_cls: 0.1785, acc: 93.5916, loss_bbox: 0.2201, loss_mask: 0.2207, loss: 0.6805 2023-11-14 19:39:16,487 - mmdet - INFO - Epoch [14][6450/7330] lr: 1.000e-04, eta: 11:39:01, time: 0.258, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0338, loss_cls: 0.1691, acc: 93.8879, loss_bbox: 0.2095, loss_mask: 0.2125, loss: 0.6487 2023-11-14 19:39:29,246 - mmdet - INFO - Epoch [14][6500/7330] lr: 1.000e-04, eta: 11:38:48, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0303, loss_cls: 0.1643, acc: 93.9919, loss_bbox: 0.2102, loss_mask: 0.2233, loss: 0.6501 2023-11-14 19:39:42,309 - mmdet - INFO - Epoch [14][6550/7330] lr: 1.000e-04, eta: 11:38:35, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0343, loss_cls: 0.1790, acc: 93.5073, loss_bbox: 0.2180, loss_mask: 0.2204, loss: 0.6761 2023-11-14 19:39:54,951 - mmdet - INFO - Epoch [14][6600/7330] lr: 1.000e-04, eta: 11:38:22, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0306, loss_cls: 0.1609, acc: 94.1509, loss_bbox: 0.2005, loss_mask: 0.2121, loss: 0.6280 2023-11-14 19:40:08,196 - mmdet - INFO - Epoch [14][6650/7330] lr: 1.000e-04, eta: 11:38:09, time: 0.265, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0334, loss_cls: 0.1766, acc: 93.5586, loss_bbox: 0.2189, loss_mask: 0.2206, loss: 0.6741 2023-11-14 19:40:21,134 - mmdet - INFO - Epoch [14][6700/7330] lr: 1.000e-04, eta: 11:37:56, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0330, loss_cls: 0.1706, acc: 93.7686, loss_bbox: 0.2108, loss_mask: 0.2167, loss: 0.6572 2023-11-14 19:40:34,213 - mmdet - INFO - Epoch [14][6750/7330] lr: 1.000e-04, eta: 11:37:43, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0356, loss_cls: 0.1717, acc: 93.7979, loss_bbox: 0.2142, loss_mask: 0.2187, loss: 0.6647 2023-11-14 19:40:46,794 - mmdet - INFO - Epoch [14][6800/7330] lr: 1.000e-04, eta: 11:37:30, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0340, loss_cls: 0.1653, acc: 93.9578, loss_bbox: 0.2026, loss_mask: 0.2171, loss: 0.6448 2023-11-14 19:40:59,611 - mmdet - INFO - Epoch [14][6850/7330] lr: 1.000e-04, eta: 11:37:17, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0348, loss_cls: 0.1719, acc: 93.6553, loss_bbox: 0.2146, loss_mask: 0.2183, loss: 0.6650 2023-11-14 19:41:12,479 - mmdet - INFO - Epoch [14][6900/7330] lr: 1.000e-04, eta: 11:37:04, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0338, loss_cls: 0.1702, acc: 93.9182, loss_bbox: 0.2152, loss_mask: 0.2243, loss: 0.6671 2023-11-14 19:41:25,192 - mmdet - INFO - Epoch [14][6950/7330] lr: 1.000e-04, eta: 11:36:51, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0351, loss_cls: 0.1710, acc: 93.8694, loss_bbox: 0.2095, loss_mask: 0.2195, loss: 0.6604 2023-11-14 19:41:38,062 - mmdet - INFO - Epoch [14][7000/7330] lr: 1.000e-04, eta: 11:36:38, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0342, loss_cls: 0.1746, acc: 93.5371, loss_bbox: 0.2236, loss_mask: 0.2271, loss: 0.6835 2023-11-14 19:41:50,682 - mmdet - INFO - Epoch [14][7050/7330] lr: 1.000e-04, eta: 11:36:24, time: 0.252, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0326, loss_cls: 0.1735, acc: 93.7483, loss_bbox: 0.2203, loss_mask: 0.2238, loss: 0.6749 2023-11-14 19:42:03,362 - mmdet - INFO - Epoch [14][7100/7330] lr: 1.000e-04, eta: 11:36:11, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0330, loss_cls: 0.1665, acc: 93.9055, loss_bbox: 0.2131, loss_mask: 0.2168, loss: 0.6548 2023-11-14 19:42:16,404 - mmdet - INFO - Epoch [14][7150/7330] lr: 1.000e-04, eta: 11:35:58, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0344, loss_cls: 0.1720, acc: 93.7026, loss_bbox: 0.2201, loss_mask: 0.2201, loss: 0.6710 2023-11-14 19:42:29,140 - mmdet - INFO - Epoch [14][7200/7330] lr: 1.000e-04, eta: 11:35:45, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0321, loss_cls: 0.1648, acc: 94.0225, loss_bbox: 0.2091, loss_mask: 0.2138, loss: 0.6436 2023-11-14 19:42:42,138 - mmdet - INFO - Epoch [14][7250/7330] lr: 1.000e-04, eta: 11:35:32, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0301, loss_cls: 0.1661, acc: 94.1653, loss_bbox: 0.1998, loss_mask: 0.2113, loss: 0.6317 2023-11-14 19:42:55,194 - mmdet - INFO - Epoch [14][7300/7330] lr: 1.000e-04, eta: 11:35:19, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0327, loss_cls: 0.1695, acc: 93.8977, loss_bbox: 0.2061, loss_mask: 0.2163, loss: 0.6490 2023-11-14 19:43:03,569 - mmdet - INFO - Saving checkpoint at 14 epochs 2023-11-14 19:43:49,666 - mmdet - INFO - Evaluating bbox... 2023-11-14 19:44:20,388 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.464 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.686 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.299 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.509 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.601 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.422 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.632 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.733 2023-11-14 19:44:20,391 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.573 | bicycle | 0.373 | car | 0.488 | | motorcycle | 0.476 | airplane | 0.675 | bus | 0.679 | | train | 0.670 | truck | 0.408 | boat | 0.335 | | traffic light | 0.306 | fire hydrant | 0.713 | stop sign | 0.659 | | parking meter | 0.506 | bench | 0.288 | bird | 0.396 | | cat | 0.720 | dog | 0.689 | horse | 0.612 | | sheep | 0.584 | cow | 0.603 | elephant | 0.664 | | bear | 0.706 | zebra | 0.662 | giraffe | 0.664 | | backpack | 0.191 | umbrella | 0.448 | handbag | 0.208 | | tie | 0.368 | suitcase | 0.469 | frisbee | 0.695 | | skis | 0.283 | snowboard | 0.419 | sports ball | 0.466 | | kite | 0.452 | baseball bat | 0.380 | baseball glove | 0.440 | | skateboard | 0.573 | surfboard | 0.461 | tennis racket | 0.523 | | bottle | 0.446 | wine glass | 0.410 | cup | 0.484 | | fork | 0.434 | knife | 0.257 | spoon | 0.243 | | bowl | 0.443 | banana | 0.242 | apple | 0.249 | | sandwich | 0.390 | orange | 0.338 | broccoli | 0.246 | | carrot | 0.241 | hot dog | 0.454 | pizza | 0.533 | | donut | 0.527 | cake | 0.419 | chair | 0.355 | | couch | 0.482 | potted plant | 0.354 | bed | 0.476 | | dining table | 0.309 | toilet | 0.650 | tv | 0.621 | | laptop | 0.662 | mouse | 0.645 | remote | 0.410 | | keyboard | 0.564 | cell phone | 0.412 | microwave | 0.622 | | oven | 0.392 | toaster | 0.535 | sink | 0.445 | | refrigerator | 0.607 | book | 0.177 | clock | 0.525 | | vase | 0.416 | scissors | 0.321 | teddy bear | 0.502 | | hair drier | 0.105 | toothbrush | 0.341 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 19:44:20,391 - mmdet - INFO - Evaluating segm... 2023-11-14 19:44:54,729 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.417 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.656 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.446 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.226 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.454 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.601 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.362 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 ] = 0.698 2023-11-14 19:44:54,732 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.495 | bicycle | 0.220 | car | 0.451 | | motorcycle | 0.391 | airplane | 0.519 | bus | 0.672 | | train | 0.671 | truck | 0.400 | boat | 0.293 | | traffic light | 0.295 | fire hydrant | 0.679 | stop sign | 0.654 | | parking meter | 0.508 | bench | 0.222 | bird | 0.330 | | cat | 0.712 | dog | 0.642 | horse | 0.456 | | sheep | 0.507 | cow | 0.503 | elephant | 0.607 | | bear | 0.687 | zebra | 0.575 | giraffe | 0.525 | | backpack | 0.194 | umbrella | 0.505 | handbag | 0.202 | | tie | 0.336 | suitcase | 0.480 | frisbee | 0.641 | | skis | 0.047 | snowboard | 0.267 | sports ball | 0.446 | | kite | 0.322 | baseball bat | 0.283 | baseball glove | 0.459 | | skateboard | 0.355 | surfboard | 0.379 | tennis racket | 0.578 | | bottle | 0.423 | wine glass | 0.349 | cup | 0.486 | | fork | 0.213 | knife | 0.172 | spoon | 0.185 | | bowl | 0.430 | banana | 0.197 | apple | 0.244 | | sandwich | 0.405 | orange | 0.338 | broccoli | 0.233 | | carrot | 0.209 | hot dog | 0.373 | pizza | 0.522 | | donut | 0.528 | cake | 0.432 | chair | 0.257 | | couch | 0.409 | potted plant | 0.291 | bed | 0.362 | | dining table | 0.184 | toilet | 0.627 | tv | 0.655 | | laptop | 0.665 | mouse | 0.637 | remote | 0.368 | | keyboard | 0.554 | cell phone | 0.385 | microwave | 0.646 | | oven | 0.375 | toaster | 0.573 | sink | 0.413 | | refrigerator | 0.628 | book | 0.129 | clock | 0.522 | | vase | 0.412 | scissors | 0.252 | teddy bear | 0.484 | | hair drier | 0.089 | toothbrush | 0.231 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 19:44:55,219 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 19:44:55,220 - mmdet - INFO - Epoch(val) [14][625] bbox_mAP: 0.4639, bbox_mAP_50: 0.6856, bbox_mAP_75: 0.5131, bbox_mAP_s: 0.2991, bbox_mAP_m: 0.5094, bbox_mAP_l: 0.6012, bbox_mAP_copypaste: 0.4639 0.6856 0.5131 0.2991 0.5094 0.6012, segm_mAP: 0.4175, segm_mAP_50: 0.6556, segm_mAP_75: 0.4462, segm_mAP_s: 0.2257, segm_mAP_m: 0.4540, segm_mAP_l: 0.6009, segm_mAP_copypaste: 0.4175 0.6556 0.4462 0.2257 0.4540 0.6009 2023-11-14 19:45:13,928 - mmdet - INFO - Epoch [15][50/7330] lr: 1.000e-04, eta: 11:34:55, time: 0.374, data_time: 0.124, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0327, loss_cls: 0.1702, acc: 93.7903, loss_bbox: 0.2153, loss_mask: 0.2122, loss: 0.6540 2023-11-14 19:45:27,202 - mmdet - INFO - Epoch [15][100/7330] lr: 1.000e-04, eta: 11:34:43, time: 0.266, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0320, loss_cls: 0.1658, acc: 93.8843, loss_bbox: 0.2110, loss_mask: 0.2111, loss: 0.6424 2023-11-14 19:45:40,270 - mmdet - INFO - Epoch [15][150/7330] lr: 1.000e-04, eta: 11:34:30, time: 0.261, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0339, loss_cls: 0.1622, acc: 94.0605, loss_bbox: 0.2066, loss_mask: 0.2137, loss: 0.6402 2023-11-14 19:45:53,554 - mmdet - INFO - Epoch [15][200/7330] lr: 1.000e-04, eta: 11:34:18, time: 0.266, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0318, loss_cls: 0.1598, acc: 94.0974, loss_bbox: 0.2098, loss_mask: 0.2160, loss: 0.6392 2023-11-14 19:46:06,805 - mmdet - INFO - Epoch [15][250/7330] lr: 1.000e-04, eta: 11:34:05, time: 0.265, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0316, loss_cls: 0.1635, acc: 94.0364, loss_bbox: 0.2083, loss_mask: 0.2133, loss: 0.6401 2023-11-14 19:46:19,977 - mmdet - INFO - Epoch [15][300/7330] lr: 1.000e-04, eta: 11:33:53, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0308, loss_cls: 0.1632, acc: 94.1909, loss_bbox: 0.2007, loss_mask: 0.2103, loss: 0.6280 2023-11-14 19:46:33,130 - mmdet - INFO - Epoch [15][350/7330] lr: 1.000e-04, eta: 11:33:40, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0307, loss_cls: 0.1558, acc: 94.3118, loss_bbox: 0.1991, loss_mask: 0.2169, loss: 0.6236 2023-11-14 19:46:46,110 - mmdet - INFO - Epoch [15][400/7330] lr: 1.000e-04, eta: 11:33:27, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0318, loss_cls: 0.1590, acc: 94.2295, loss_bbox: 0.2010, loss_mask: 0.2079, loss: 0.6221 2023-11-14 19:46:59,284 - mmdet - INFO - Epoch [15][450/7330] lr: 1.000e-04, eta: 11:33:15, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0341, loss_cls: 0.1678, acc: 93.7910, loss_bbox: 0.2158, loss_mask: 0.2156, loss: 0.6579 2023-11-14 19:47:12,563 - mmdet - INFO - Epoch [15][500/7330] lr: 1.000e-04, eta: 11:33:02, time: 0.266, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0332, loss_cls: 0.1684, acc: 93.9216, loss_bbox: 0.2143, loss_mask: 0.2150, loss: 0.6535 2023-11-14 19:47:25,583 - mmdet - INFO - Epoch [15][550/7330] lr: 1.000e-04, eta: 11:32:50, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0328, loss_cls: 0.1589, acc: 94.2200, loss_bbox: 0.2074, loss_mask: 0.2141, loss: 0.6361 2023-11-14 19:47:38,599 - mmdet - INFO - Epoch [15][600/7330] lr: 1.000e-04, eta: 11:32:37, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0322, loss_cls: 0.1611, acc: 94.1943, loss_bbox: 0.2009, loss_mask: 0.2088, loss: 0.6264 2023-11-14 19:47:51,655 - mmdet - INFO - Epoch [15][650/7330] lr: 1.000e-04, eta: 11:32:24, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0307, loss_cls: 0.1577, acc: 94.2986, loss_bbox: 0.2008, loss_mask: 0.2120, loss: 0.6246 2023-11-14 19:48:04,757 - mmdet - INFO - Epoch [15][700/7330] lr: 1.000e-04, eta: 11:32:11, time: 0.262, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0341, loss_cls: 0.1660, acc: 93.9956, loss_bbox: 0.2106, loss_mask: 0.2152, loss: 0.6504 2023-11-14 19:48:17,672 - mmdet - INFO - Epoch [15][750/7330] lr: 1.000e-04, eta: 11:31:58, time: 0.258, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0337, loss_cls: 0.1564, acc: 94.2949, loss_bbox: 0.2028, loss_mask: 0.2167, loss: 0.6334 2023-11-14 19:48:30,500 - mmdet - INFO - Epoch [15][800/7330] lr: 1.000e-04, eta: 11:31:45, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0336, loss_cls: 0.1603, acc: 94.2563, loss_bbox: 0.2056, loss_mask: 0.2131, loss: 0.6356 2023-11-14 19:48:43,220 - mmdet - INFO - Epoch [15][850/7330] lr: 1.000e-04, eta: 11:31:32, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0303, loss_cls: 0.1613, acc: 94.0737, loss_bbox: 0.2061, loss_mask: 0.2100, loss: 0.6290 2023-11-14 19:48:56,175 - mmdet - INFO - Epoch [15][900/7330] lr: 1.000e-04, eta: 11:31:19, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0343, loss_cls: 0.1666, acc: 93.8511, loss_bbox: 0.2149, loss_mask: 0.2120, loss: 0.6520 2023-11-14 19:49:09,208 - mmdet - INFO - Epoch [15][950/7330] lr: 1.000e-04, eta: 11:31:06, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0368, loss_cls: 0.1670, acc: 93.9106, loss_bbox: 0.2132, loss_mask: 0.2178, loss: 0.6619 2023-11-14 19:49:22,291 - mmdet - INFO - Epoch [15][1000/7330] lr: 1.000e-04, eta: 11:30:54, time: 0.262, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0317, loss_cls: 0.1591, acc: 94.1506, loss_bbox: 0.2042, loss_mask: 0.2116, loss: 0.6302 2023-11-14 19:49:35,088 - mmdet - INFO - Epoch [15][1050/7330] lr: 1.000e-04, eta: 11:30:41, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0313, loss_cls: 0.1554, acc: 94.3157, loss_bbox: 0.2011, loss_mask: 0.2132, loss: 0.6219 2023-11-14 19:49:48,097 - mmdet - INFO - Epoch [15][1100/7330] lr: 1.000e-04, eta: 11:30:28, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0335, loss_cls: 0.1628, acc: 94.1841, loss_bbox: 0.2043, loss_mask: 0.2124, loss: 0.6373 2023-11-14 19:50:00,951 - mmdet - INFO - Epoch [15][1150/7330] lr: 1.000e-04, eta: 11:30:15, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0315, loss_cls: 0.1650, acc: 93.9541, loss_bbox: 0.2109, loss_mask: 0.2148, loss: 0.6451 2023-11-14 19:50:13,605 - mmdet - INFO - Epoch [15][1200/7330] lr: 1.000e-04, eta: 11:30:01, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0318, loss_cls: 0.1588, acc: 94.1863, loss_bbox: 0.2069, loss_mask: 0.2134, loss: 0.6335 2023-11-14 19:50:26,663 - mmdet - INFO - Epoch [15][1250/7330] lr: 1.000e-04, eta: 11:29:49, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0332, loss_cls: 0.1621, acc: 94.0232, loss_bbox: 0.2074, loss_mask: 0.2197, loss: 0.6472 2023-11-14 19:50:39,627 - mmdet - INFO - Epoch [15][1300/7330] lr: 1.000e-04, eta: 11:29:36, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0357, loss_cls: 0.1701, acc: 93.8394, loss_bbox: 0.2136, loss_mask: 0.2236, loss: 0.6673 2023-11-14 19:50:52,225 - mmdet - INFO - Epoch [15][1350/7330] lr: 1.000e-04, eta: 11:29:22, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0326, loss_cls: 0.1690, acc: 93.8755, loss_bbox: 0.2110, loss_mask: 0.2194, loss: 0.6559 2023-11-14 19:51:05,039 - mmdet - INFO - Epoch [15][1400/7330] lr: 1.000e-04, eta: 11:29:09, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0311, loss_cls: 0.1612, acc: 94.2561, loss_bbox: 0.2007, loss_mask: 0.2088, loss: 0.6238 2023-11-14 19:51:18,076 - mmdet - INFO - Epoch [15][1450/7330] lr: 1.000e-04, eta: 11:28:56, time: 0.261, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0324, loss_cls: 0.1683, acc: 93.8171, loss_bbox: 0.2102, loss_mask: 0.2162, loss: 0.6504 2023-11-14 19:51:30,976 - mmdet - INFO - Epoch [15][1500/7330] lr: 1.000e-04, eta: 11:28:43, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0327, loss_cls: 0.1683, acc: 93.8455, loss_bbox: 0.2132, loss_mask: 0.2167, loss: 0.6544 2023-11-14 19:51:43,954 - mmdet - INFO - Epoch [15][1550/7330] lr: 1.000e-04, eta: 11:28:31, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0324, loss_cls: 0.1621, acc: 94.1582, loss_bbox: 0.2040, loss_mask: 0.2116, loss: 0.6336 2023-11-14 19:51:56,751 - mmdet - INFO - Epoch [15][1600/7330] lr: 1.000e-04, eta: 11:28:17, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0311, loss_cls: 0.1568, acc: 94.3403, loss_bbox: 0.1997, loss_mask: 0.2125, loss: 0.6238 2023-11-14 19:52:09,669 - mmdet - INFO - Epoch [15][1650/7330] lr: 1.000e-04, eta: 11:28:04, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0345, loss_cls: 0.1628, acc: 93.9910, loss_bbox: 0.2087, loss_mask: 0.2159, loss: 0.6478 2023-11-14 19:52:22,648 - mmdet - INFO - Epoch [15][1700/7330] lr: 1.000e-04, eta: 11:27:52, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0334, loss_cls: 0.1636, acc: 94.0381, loss_bbox: 0.2118, loss_mask: 0.2143, loss: 0.6472 2023-11-14 19:52:35,975 - mmdet - INFO - Epoch [15][1750/7330] lr: 1.000e-04, eta: 11:27:39, time: 0.267, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0354, loss_cls: 0.1639, acc: 93.9971, loss_bbox: 0.2120, loss_mask: 0.2176, loss: 0.6556 2023-11-14 19:52:48,664 - mmdet - INFO - Epoch [15][1800/7330] lr: 1.000e-04, eta: 11:27:26, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0317, loss_cls: 0.1592, acc: 94.2656, loss_bbox: 0.2021, loss_mask: 0.2136, loss: 0.6309 2023-11-14 19:53:01,723 - mmdet - INFO - Epoch [15][1850/7330] lr: 1.000e-04, eta: 11:27:13, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0314, loss_cls: 0.1698, acc: 93.8145, loss_bbox: 0.2097, loss_mask: 0.2154, loss: 0.6484 2023-11-14 19:53:14,676 - mmdet - INFO - Epoch [15][1900/7330] lr: 1.000e-04, eta: 11:27:00, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0326, loss_cls: 0.1601, acc: 94.1604, loss_bbox: 0.2045, loss_mask: 0.2142, loss: 0.6344 2023-11-14 19:53:27,597 - mmdet - INFO - Epoch [15][1950/7330] lr: 1.000e-04, eta: 11:26:47, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0356, loss_cls: 0.1734, acc: 93.6416, loss_bbox: 0.2219, loss_mask: 0.2250, loss: 0.6822 2023-11-14 19:53:40,874 - mmdet - INFO - Epoch [15][2000/7330] lr: 1.000e-04, eta: 11:26:35, time: 0.266, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0327, loss_cls: 0.1672, acc: 93.9565, loss_bbox: 0.2100, loss_mask: 0.2162, loss: 0.6519 2023-11-14 19:53:53,764 - mmdet - INFO - Epoch [15][2050/7330] lr: 1.000e-04, eta: 11:26:22, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0301, loss_cls: 0.1581, acc: 94.3064, loss_bbox: 0.2060, loss_mask: 0.2134, loss: 0.6291 2023-11-14 19:54:06,933 - mmdet - INFO - Epoch [15][2100/7330] lr: 1.000e-04, eta: 11:26:09, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0351, loss_cls: 0.1705, acc: 93.8345, loss_bbox: 0.2140, loss_mask: 0.2130, loss: 0.6566 2023-11-14 19:54:19,813 - mmdet - INFO - Epoch [15][2150/7330] lr: 1.000e-04, eta: 11:25:56, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0319, loss_cls: 0.1624, acc: 94.1814, loss_bbox: 0.2101, loss_mask: 0.2163, loss: 0.6442 2023-11-14 19:54:32,936 - mmdet - INFO - Epoch [15][2200/7330] lr: 1.000e-04, eta: 11:25:44, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0347, loss_cls: 0.1717, acc: 93.8279, loss_bbox: 0.2125, loss_mask: 0.2122, loss: 0.6558 2023-11-14 19:54:46,190 - mmdet - INFO - Epoch [15][2250/7330] lr: 1.000e-04, eta: 11:25:31, time: 0.265, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0347, loss_cls: 0.1702, acc: 93.8013, loss_bbox: 0.2154, loss_mask: 0.2155, loss: 0.6593 2023-11-14 19:54:59,146 - mmdet - INFO - Epoch [15][2300/7330] lr: 1.000e-04, eta: 11:25:18, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0337, loss_cls: 0.1717, acc: 93.9141, loss_bbox: 0.2080, loss_mask: 0.2190, loss: 0.6594 2023-11-14 19:55:12,394 - mmdet - INFO - Epoch [15][2350/7330] lr: 1.000e-04, eta: 11:25:06, time: 0.265, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0331, loss_cls: 0.1602, acc: 94.1865, loss_bbox: 0.2057, loss_mask: 0.2155, loss: 0.6374 2023-11-14 19:55:25,403 - mmdet - INFO - Epoch [15][2400/7330] lr: 1.000e-04, eta: 11:24:53, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0342, loss_cls: 0.1688, acc: 93.8845, loss_bbox: 0.2129, loss_mask: 0.2213, loss: 0.6649 2023-11-14 19:55:38,309 - mmdet - INFO - Epoch [15][2450/7330] lr: 1.000e-04, eta: 11:24:40, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0327, loss_cls: 0.1597, acc: 94.0811, loss_bbox: 0.2135, loss_mask: 0.2185, loss: 0.6499 2023-11-14 19:55:51,103 - mmdet - INFO - Epoch [15][2500/7330] lr: 1.000e-04, eta: 11:24:27, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0296, loss_cls: 0.1485, acc: 94.6157, loss_bbox: 0.1937, loss_mask: 0.2079, loss: 0.6010 2023-11-14 19:56:03,837 - mmdet - INFO - Epoch [15][2550/7330] lr: 1.000e-04, eta: 11:24:14, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0335, loss_cls: 0.1617, acc: 94.0815, loss_bbox: 0.2088, loss_mask: 0.2130, loss: 0.6423 2023-11-14 19:56:16,969 - mmdet - INFO - Epoch [15][2600/7330] lr: 1.000e-04, eta: 11:24:01, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0345, loss_cls: 0.1619, acc: 93.9927, loss_bbox: 0.2090, loss_mask: 0.2180, loss: 0.6474 2023-11-14 19:56:29,939 - mmdet - INFO - Epoch [15][2650/7330] lr: 1.000e-04, eta: 11:23:48, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0336, loss_cls: 0.1645, acc: 94.0552, loss_bbox: 0.2071, loss_mask: 0.2173, loss: 0.6480 2023-11-14 19:56:43,156 - mmdet - INFO - Epoch [15][2700/7330] lr: 1.000e-04, eta: 11:23:36, time: 0.264, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0331, loss_cls: 0.1714, acc: 93.7771, loss_bbox: 0.2118, loss_mask: 0.2139, loss: 0.6554 2023-11-14 19:56:55,933 - mmdet - INFO - Epoch [15][2750/7330] lr: 1.000e-04, eta: 11:23:22, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0340, loss_cls: 0.1652, acc: 94.0266, loss_bbox: 0.2094, loss_mask: 0.2138, loss: 0.6482 2023-11-14 19:57:08,621 - mmdet - INFO - Epoch [15][2800/7330] lr: 1.000e-04, eta: 11:23:09, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0331, loss_cls: 0.1633, acc: 94.1204, loss_bbox: 0.2096, loss_mask: 0.2158, loss: 0.6451 2023-11-14 19:57:21,527 - mmdet - INFO - Epoch [15][2850/7330] lr: 1.000e-04, eta: 11:22:56, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0338, loss_cls: 0.1707, acc: 93.7842, loss_bbox: 0.2190, loss_mask: 0.2190, loss: 0.6689 2023-11-14 19:57:34,461 - mmdet - INFO - Epoch [15][2900/7330] lr: 1.000e-04, eta: 11:22:43, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0323, loss_cls: 0.1635, acc: 94.0745, loss_bbox: 0.2074, loss_mask: 0.2143, loss: 0.6404 2023-11-14 19:57:47,495 - mmdet - INFO - Epoch [15][2950/7330] lr: 1.000e-04, eta: 11:22:30, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0312, loss_cls: 0.1583, acc: 94.3042, loss_bbox: 0.2041, loss_mask: 0.2145, loss: 0.6317 2023-11-14 19:58:00,265 - mmdet - INFO - Epoch [15][3000/7330] lr: 1.000e-04, eta: 11:22:17, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0331, loss_cls: 0.1642, acc: 93.9629, loss_bbox: 0.2119, loss_mask: 0.2160, loss: 0.6497 2023-11-14 19:58:13,135 - mmdet - INFO - Epoch [15][3050/7330] lr: 1.000e-04, eta: 11:22:04, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0324, loss_cls: 0.1643, acc: 94.0376, loss_bbox: 0.2086, loss_mask: 0.2134, loss: 0.6422 2023-11-14 19:58:25,993 - mmdet - INFO - Epoch [15][3100/7330] lr: 1.000e-04, eta: 11:21:51, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0318, loss_cls: 0.1612, acc: 94.0215, loss_bbox: 0.2102, loss_mask: 0.2148, loss: 0.6421 2023-11-14 19:58:38,740 - mmdet - INFO - Epoch [15][3150/7330] lr: 1.000e-04, eta: 11:21:38, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0328, loss_cls: 0.1672, acc: 93.8291, loss_bbox: 0.2156, loss_mask: 0.2183, loss: 0.6580 2023-11-14 19:58:51,655 - mmdet - INFO - Epoch [15][3200/7330] lr: 1.000e-04, eta: 11:21:25, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0324, loss_cls: 0.1639, acc: 93.9680, loss_bbox: 0.2080, loss_mask: 0.2095, loss: 0.6362 2023-11-14 19:59:04,430 - mmdet - INFO - Epoch [15][3250/7330] lr: 1.000e-04, eta: 11:21:12, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1701, acc: 93.7693, loss_bbox: 0.2151, loss_mask: 0.2184, loss: 0.6593 2023-11-14 19:59:17,354 - mmdet - INFO - Epoch [15][3300/7330] lr: 1.000e-04, eta: 11:20:59, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0329, loss_cls: 0.1672, acc: 93.9138, loss_bbox: 0.2163, loss_mask: 0.2165, loss: 0.6552 2023-11-14 19:59:30,191 - mmdet - INFO - Epoch [15][3350/7330] lr: 1.000e-04, eta: 11:20:46, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0333, loss_cls: 0.1754, acc: 93.7437, loss_bbox: 0.2132, loss_mask: 0.2143, loss: 0.6600 2023-11-14 19:59:43,200 - mmdet - INFO - Epoch [15][3400/7330] lr: 1.000e-04, eta: 11:20:33, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0322, loss_cls: 0.1604, acc: 94.2109, loss_bbox: 0.2017, loss_mask: 0.2113, loss: 0.6283 2023-11-14 19:59:55,981 - mmdet - INFO - Epoch [15][3450/7330] lr: 1.000e-04, eta: 11:20:20, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0341, loss_cls: 0.1692, acc: 93.7942, loss_bbox: 0.2177, loss_mask: 0.2166, loss: 0.6618 2023-11-14 20:00:08,944 - mmdet - INFO - Epoch [15][3500/7330] lr: 1.000e-04, eta: 11:20:07, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0319, loss_cls: 0.1609, acc: 94.0347, loss_bbox: 0.2088, loss_mask: 0.2157, loss: 0.6405 2023-11-14 20:00:21,623 - mmdet - INFO - Epoch [15][3550/7330] lr: 1.000e-04, eta: 11:19:54, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0337, loss_cls: 0.1688, acc: 93.8296, loss_bbox: 0.2168, loss_mask: 0.2180, loss: 0.6637 2023-11-14 20:00:34,777 - mmdet - INFO - Epoch [15][3600/7330] lr: 1.000e-04, eta: 11:19:41, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0314, loss_cls: 0.1628, acc: 94.1001, loss_bbox: 0.2076, loss_mask: 0.2149, loss: 0.6407 2023-11-14 20:00:47,542 - mmdet - INFO - Epoch [15][3650/7330] lr: 1.000e-04, eta: 11:19:28, time: 0.255, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0318, loss_cls: 0.1601, acc: 94.2532, loss_bbox: 0.2015, loss_mask: 0.2126, loss: 0.6301 2023-11-14 20:01:00,394 - mmdet - INFO - Epoch [15][3700/7330] lr: 1.000e-04, eta: 11:19:15, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0333, loss_cls: 0.1735, acc: 93.6582, loss_bbox: 0.2184, loss_mask: 0.2188, loss: 0.6682 2023-11-14 20:01:13,521 - mmdet - INFO - Epoch [15][3750/7330] lr: 1.000e-04, eta: 11:19:02, time: 0.263, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0356, loss_cls: 0.1742, acc: 93.6453, loss_bbox: 0.2252, loss_mask: 0.2162, loss: 0.6760 2023-11-14 20:01:26,423 - mmdet - INFO - Epoch [15][3800/7330] lr: 1.000e-04, eta: 11:18:49, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0333, loss_cls: 0.1733, acc: 93.7571, loss_bbox: 0.2117, loss_mask: 0.2138, loss: 0.6562 2023-11-14 20:01:39,335 - mmdet - INFO - Epoch [15][3850/7330] lr: 1.000e-04, eta: 11:18:36, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0340, loss_cls: 0.1725, acc: 93.8105, loss_bbox: 0.2178, loss_mask: 0.2212, loss: 0.6685 2023-11-14 20:01:52,044 - mmdet - INFO - Epoch [15][3900/7330] lr: 1.000e-04, eta: 11:18:23, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0315, loss_cls: 0.1624, acc: 94.2107, loss_bbox: 0.2019, loss_mask: 0.2090, loss: 0.6293 2023-11-14 20:02:04,783 - mmdet - INFO - Epoch [15][3950/7330] lr: 1.000e-04, eta: 11:18:10, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0348, loss_cls: 0.1684, acc: 93.9434, loss_bbox: 0.2092, loss_mask: 0.2127, loss: 0.6522 2023-11-14 20:02:17,758 - mmdet - INFO - Epoch [15][4000/7330] lr: 1.000e-04, eta: 11:17:57, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0351, loss_cls: 0.1685, acc: 93.8186, loss_bbox: 0.2125, loss_mask: 0.2145, loss: 0.6567 2023-11-14 20:02:30,649 - mmdet - INFO - Epoch [15][4050/7330] lr: 1.000e-04, eta: 11:17:44, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0357, loss_cls: 0.1754, acc: 93.5852, loss_bbox: 0.2199, loss_mask: 0.2209, loss: 0.6776 2023-11-14 20:02:43,294 - mmdet - INFO - Epoch [15][4100/7330] lr: 1.000e-04, eta: 11:17:31, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0343, loss_cls: 0.1814, acc: 93.5210, loss_bbox: 0.2236, loss_mask: 0.2244, loss: 0.6890 2023-11-14 20:02:56,244 - mmdet - INFO - Epoch [15][4150/7330] lr: 1.000e-04, eta: 11:17:18, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0340, loss_cls: 0.1722, acc: 93.7822, loss_bbox: 0.2182, loss_mask: 0.2208, loss: 0.6707 2023-11-14 20:03:08,887 - mmdet - INFO - Epoch [15][4200/7330] lr: 1.000e-04, eta: 11:17:04, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0342, loss_cls: 0.1725, acc: 93.8469, loss_bbox: 0.2142, loss_mask: 0.2215, loss: 0.6678 2023-11-14 20:03:21,620 - mmdet - INFO - Epoch [15][4250/7330] lr: 1.000e-04, eta: 11:16:51, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0344, loss_cls: 0.1664, acc: 93.7766, loss_bbox: 0.2165, loss_mask: 0.2168, loss: 0.6585 2023-11-14 20:03:34,554 - mmdet - INFO - Epoch [15][4300/7330] lr: 1.000e-04, eta: 11:16:38, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0273, loss_rpn_bbox: 0.0348, loss_cls: 0.1716, acc: 93.6853, loss_bbox: 0.2195, loss_mask: 0.2209, loss: 0.6741 2023-11-14 20:03:47,037 - mmdet - INFO - Epoch [15][4350/7330] lr: 1.000e-04, eta: 11:16:25, time: 0.250, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0329, loss_cls: 0.1627, acc: 94.0349, loss_bbox: 0.2051, loss_mask: 0.2133, loss: 0.6365 2023-11-14 20:04:00,111 - mmdet - INFO - Epoch [15][4400/7330] lr: 1.000e-04, eta: 11:16:12, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0337, loss_cls: 0.1614, acc: 94.0498, loss_bbox: 0.2098, loss_mask: 0.2125, loss: 0.6400 2023-11-14 20:04:12,624 - mmdet - INFO - Epoch [15][4450/7330] lr: 1.000e-04, eta: 11:15:58, time: 0.250, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0347, loss_cls: 0.1687, acc: 93.8745, loss_bbox: 0.2108, loss_mask: 0.2181, loss: 0.6555 2023-11-14 20:04:25,373 - mmdet - INFO - Epoch [15][4500/7330] lr: 1.000e-04, eta: 11:15:45, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0337, loss_cls: 0.1713, acc: 93.6621, loss_bbox: 0.2158, loss_mask: 0.2146, loss: 0.6581 2023-11-14 20:04:38,575 - mmdet - INFO - Epoch [15][4550/7330] lr: 1.000e-04, eta: 11:15:32, time: 0.264, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0347, loss_cls: 0.1703, acc: 93.7869, loss_bbox: 0.2102, loss_mask: 0.2138, loss: 0.6545 2023-11-14 20:04:51,006 - mmdet - INFO - Epoch [15][4600/7330] lr: 1.000e-04, eta: 11:15:19, time: 0.249, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0326, loss_cls: 0.1686, acc: 93.9297, loss_bbox: 0.2124, loss_mask: 0.2173, loss: 0.6550 2023-11-14 20:05:03,965 - mmdet - INFO - Epoch [15][4650/7330] lr: 1.000e-04, eta: 11:15:06, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0323, loss_cls: 0.1627, acc: 94.1741, loss_bbox: 0.2026, loss_mask: 0.2161, loss: 0.6374 2023-11-14 20:05:16,733 - mmdet - INFO - Epoch [15][4700/7330] lr: 1.000e-04, eta: 11:14:53, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0307, loss_cls: 0.1556, acc: 94.4456, loss_bbox: 0.1940, loss_mask: 0.2065, loss: 0.6102 2023-11-14 20:05:29,511 - mmdet - INFO - Epoch [15][4750/7330] lr: 1.000e-04, eta: 11:14:40, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0327, loss_cls: 0.1681, acc: 93.8850, loss_bbox: 0.2131, loss_mask: 0.2123, loss: 0.6501 2023-11-14 20:05:42,374 - mmdet - INFO - Epoch [15][4800/7330] lr: 1.000e-04, eta: 11:14:27, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0346, loss_cls: 0.1712, acc: 93.9023, loss_bbox: 0.2097, loss_mask: 0.2197, loss: 0.6607 2023-11-14 20:05:55,097 - mmdet - INFO - Epoch [15][4850/7330] lr: 1.000e-04, eta: 11:14:13, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0318, loss_cls: 0.1619, acc: 94.1697, loss_bbox: 0.2060, loss_mask: 0.2169, loss: 0.6403 2023-11-14 20:06:08,353 - mmdet - INFO - Epoch [15][4900/7330] lr: 1.000e-04, eta: 11:14:01, time: 0.265, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0331, loss_cls: 0.1666, acc: 93.9673, loss_bbox: 0.2111, loss_mask: 0.2184, loss: 0.6522 2023-11-14 20:06:21,187 - mmdet - INFO - Epoch [15][4950/7330] lr: 1.000e-04, eta: 11:13:48, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0353, loss_cls: 0.1743, acc: 93.7717, loss_bbox: 0.2123, loss_mask: 0.2231, loss: 0.6727 2023-11-14 20:06:33,926 - mmdet - INFO - Epoch [15][5000/7330] lr: 1.000e-04, eta: 11:13:35, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0334, loss_cls: 0.1645, acc: 93.9585, loss_bbox: 0.2126, loss_mask: 0.2146, loss: 0.6495 2023-11-14 20:06:46,493 - mmdet - INFO - Epoch [15][5050/7330] lr: 1.000e-04, eta: 11:13:21, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0328, loss_cls: 0.1651, acc: 94.0889, loss_bbox: 0.2087, loss_mask: 0.2163, loss: 0.6474 2023-11-14 20:06:59,340 - mmdet - INFO - Epoch [15][5100/7330] lr: 1.000e-04, eta: 11:13:08, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0341, loss_cls: 0.1706, acc: 93.8203, loss_bbox: 0.2132, loss_mask: 0.2186, loss: 0.6621 2023-11-14 20:07:11,910 - mmdet - INFO - Epoch [15][5150/7330] lr: 1.000e-04, eta: 11:12:55, time: 0.251, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0360, loss_cls: 0.1784, acc: 93.4980, loss_bbox: 0.2211, loss_mask: 0.2186, loss: 0.6812 2023-11-14 20:07:24,582 - mmdet - INFO - Epoch [15][5200/7330] lr: 1.000e-04, eta: 11:12:41, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0334, loss_cls: 0.1644, acc: 93.9814, loss_bbox: 0.2094, loss_mask: 0.2181, loss: 0.6503 2023-11-14 20:07:37,287 - mmdet - INFO - Epoch [15][5250/7330] lr: 1.000e-04, eta: 11:12:28, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0309, loss_cls: 0.1585, acc: 94.1853, loss_bbox: 0.2037, loss_mask: 0.2108, loss: 0.6270 2023-11-14 20:07:49,984 - mmdet - INFO - Epoch [15][5300/7330] lr: 1.000e-04, eta: 11:12:15, time: 0.254, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0335, loss_cls: 0.1710, acc: 93.7407, loss_bbox: 0.2159, loss_mask: 0.2138, loss: 0.6590 2023-11-14 20:08:02,786 - mmdet - INFO - Epoch [15][5350/7330] lr: 1.000e-04, eta: 11:12:02, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0314, loss_cls: 0.1646, acc: 94.0916, loss_bbox: 0.2066, loss_mask: 0.2133, loss: 0.6373 2023-11-14 20:08:15,702 - mmdet - INFO - Epoch [15][5400/7330] lr: 1.000e-04, eta: 11:11:49, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0333, loss_cls: 0.1715, acc: 93.7515, loss_bbox: 0.2155, loss_mask: 0.2116, loss: 0.6564 2023-11-14 20:08:28,409 - mmdet - INFO - Epoch [15][5450/7330] lr: 1.000e-04, eta: 11:11:35, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0332, loss_cls: 0.1713, acc: 93.8750, loss_bbox: 0.2115, loss_mask: 0.2133, loss: 0.6533 2023-11-14 20:08:41,216 - mmdet - INFO - Epoch [15][5500/7330] lr: 1.000e-04, eta: 11:11:22, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0325, loss_cls: 0.1606, acc: 94.1294, loss_bbox: 0.2032, loss_mask: 0.2201, loss: 0.6411 2023-11-14 20:08:54,041 - mmdet - INFO - Epoch [15][5550/7330] lr: 1.000e-04, eta: 11:11:09, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0356, loss_cls: 0.1703, acc: 93.7666, loss_bbox: 0.2153, loss_mask: 0.2202, loss: 0.6677 2023-11-14 20:09:06,835 - mmdet - INFO - Epoch [15][5600/7330] lr: 1.000e-04, eta: 11:10:56, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0314, loss_cls: 0.1650, acc: 94.0474, loss_bbox: 0.2084, loss_mask: 0.2159, loss: 0.6440 2023-11-14 20:09:19,528 - mmdet - INFO - Epoch [15][5650/7330] lr: 1.000e-04, eta: 11:10:43, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0337, loss_cls: 0.1708, acc: 93.8682, loss_bbox: 0.2160, loss_mask: 0.2163, loss: 0.6621 2023-11-14 20:09:32,322 - mmdet - INFO - Epoch [15][5700/7330] lr: 1.000e-04, eta: 11:10:30, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0320, loss_cls: 0.1689, acc: 93.9172, loss_bbox: 0.2154, loss_mask: 0.2141, loss: 0.6538 2023-11-14 20:09:45,246 - mmdet - INFO - Epoch [15][5750/7330] lr: 1.000e-04, eta: 11:10:17, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0315, loss_cls: 0.1602, acc: 94.2532, loss_bbox: 0.1979, loss_mask: 0.2106, loss: 0.6226 2023-11-14 20:09:58,164 - mmdet - INFO - Epoch [15][5800/7330] lr: 1.000e-04, eta: 11:10:04, time: 0.258, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0333, loss_cls: 0.1686, acc: 93.9097, loss_bbox: 0.2154, loss_mask: 0.2200, loss: 0.6620 2023-11-14 20:10:10,785 - mmdet - INFO - Epoch [15][5850/7330] lr: 1.000e-04, eta: 11:09:50, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0319, loss_cls: 0.1603, acc: 94.1116, loss_bbox: 0.2092, loss_mask: 0.2155, loss: 0.6399 2023-11-14 20:10:23,648 - mmdet - INFO - Epoch [15][5900/7330] lr: 1.000e-04, eta: 11:09:37, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0327, loss_cls: 0.1663, acc: 93.9509, loss_bbox: 0.2086, loss_mask: 0.2195, loss: 0.6516 2023-11-14 20:10:36,287 - mmdet - INFO - Epoch [15][5950/7330] lr: 1.000e-04, eta: 11:09:24, time: 0.253, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0337, loss_cls: 0.1634, acc: 94.1726, loss_bbox: 0.2039, loss_mask: 0.2183, loss: 0.6449 2023-11-14 20:10:49,144 - mmdet - INFO - Epoch [15][6000/7330] lr: 1.000e-04, eta: 11:09:11, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0327, loss_cls: 0.1632, acc: 94.0708, loss_bbox: 0.2068, loss_mask: 0.2158, loss: 0.6448 2023-11-14 20:11:02,126 - mmdet - INFO - Epoch [15][6050/7330] lr: 1.000e-04, eta: 11:08:58, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0344, loss_cls: 0.1629, acc: 94.0166, loss_bbox: 0.2019, loss_mask: 0.2148, loss: 0.6382 2023-11-14 20:11:14,904 - mmdet - INFO - Epoch [15][6100/7330] lr: 1.000e-04, eta: 11:08:45, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0319, loss_cls: 0.1693, acc: 93.8718, loss_bbox: 0.2098, loss_mask: 0.2167, loss: 0.6510 2023-11-14 20:11:27,367 - mmdet - INFO - Epoch [15][6150/7330] lr: 1.000e-04, eta: 11:08:31, time: 0.249, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0276, loss_rpn_bbox: 0.0335, loss_cls: 0.1761, acc: 93.4790, loss_bbox: 0.2248, loss_mask: 0.2239, loss: 0.6859 2023-11-14 20:11:40,249 - mmdet - INFO - Epoch [15][6200/7330] lr: 1.000e-04, eta: 11:08:18, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0332, loss_cls: 0.1730, acc: 93.7952, loss_bbox: 0.2139, loss_mask: 0.2162, loss: 0.6617 2023-11-14 20:11:53,128 - mmdet - INFO - Epoch [15][6250/7330] lr: 1.000e-04, eta: 11:08:05, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0328, loss_cls: 0.1743, acc: 93.7031, loss_bbox: 0.2202, loss_mask: 0.2235, loss: 0.6774 2023-11-14 20:12:05,918 - mmdet - INFO - Epoch [15][6300/7330] lr: 1.000e-04, eta: 11:07:52, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0340, loss_cls: 0.1652, acc: 93.9250, loss_bbox: 0.2153, loss_mask: 0.2161, loss: 0.6563 2023-11-14 20:12:18,614 - mmdet - INFO - Epoch [15][6350/7330] lr: 1.000e-04, eta: 11:07:39, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0328, loss_cls: 0.1674, acc: 93.9600, loss_bbox: 0.2114, loss_mask: 0.2184, loss: 0.6526 2023-11-14 20:12:31,702 - mmdet - INFO - Epoch [15][6400/7330] lr: 1.000e-04, eta: 11:07:26, time: 0.262, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0360, loss_cls: 0.1764, acc: 93.7310, loss_bbox: 0.2169, loss_mask: 0.2211, loss: 0.6764 2023-11-14 20:12:44,394 - mmdet - INFO - Epoch [15][6450/7330] lr: 1.000e-04, eta: 11:07:13, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0334, loss_cls: 0.1719, acc: 93.6323, loss_bbox: 0.2145, loss_mask: 0.2158, loss: 0.6608 2023-11-14 20:12:57,177 - mmdet - INFO - Epoch [15][6500/7330] lr: 1.000e-04, eta: 11:07:00, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0323, loss_cls: 0.1695, acc: 93.9646, loss_bbox: 0.2092, loss_mask: 0.2161, loss: 0.6513 2023-11-14 20:13:09,811 - mmdet - INFO - Epoch [15][6550/7330] lr: 1.000e-04, eta: 11:06:47, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0332, loss_cls: 0.1656, acc: 94.0542, loss_bbox: 0.2063, loss_mask: 0.2162, loss: 0.6475 2023-11-14 20:13:23,186 - mmdet - INFO - Epoch [15][6600/7330] lr: 1.000e-04, eta: 11:06:34, time: 0.268, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0278, loss_rpn_bbox: 0.0357, loss_cls: 0.1728, acc: 93.7180, loss_bbox: 0.2141, loss_mask: 0.2225, loss: 0.6729 2023-11-14 20:13:36,120 - mmdet - INFO - Epoch [15][6650/7330] lr: 1.000e-04, eta: 11:06:21, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0334, loss_cls: 0.1665, acc: 94.0168, loss_bbox: 0.2097, loss_mask: 0.2131, loss: 0.6481 2023-11-14 20:13:48,950 - mmdet - INFO - Epoch [15][6700/7330] lr: 1.000e-04, eta: 11:06:08, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0330, loss_cls: 0.1722, acc: 93.8359, loss_bbox: 0.2130, loss_mask: 0.2172, loss: 0.6604 2023-11-14 20:14:01,797 - mmdet - INFO - Epoch [15][6750/7330] lr: 1.000e-04, eta: 11:05:55, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0334, loss_cls: 0.1692, acc: 93.7588, loss_bbox: 0.2088, loss_mask: 0.2163, loss: 0.6517 2023-11-14 20:14:14,728 - mmdet - INFO - Epoch [15][6800/7330] lr: 1.000e-04, eta: 11:05:42, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0327, loss_cls: 0.1632, acc: 94.1357, loss_bbox: 0.2027, loss_mask: 0.2139, loss: 0.6360 2023-11-14 20:14:27,680 - mmdet - INFO - Epoch [15][6850/7330] lr: 1.000e-04, eta: 11:05:29, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0333, loss_cls: 0.1737, acc: 93.7859, loss_bbox: 0.2059, loss_mask: 0.2194, loss: 0.6565 2023-11-14 20:14:40,576 - mmdet - INFO - Epoch [15][6900/7330] lr: 1.000e-04, eta: 11:05:16, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0328, loss_cls: 0.1680, acc: 93.9958, loss_bbox: 0.2102, loss_mask: 0.2166, loss: 0.6533 2023-11-14 20:14:53,575 - mmdet - INFO - Epoch [15][6950/7330] lr: 1.000e-04, eta: 11:05:04, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0332, loss_cls: 0.1724, acc: 93.7070, loss_bbox: 0.2116, loss_mask: 0.2176, loss: 0.6582 2023-11-14 20:15:06,331 - mmdet - INFO - Epoch [15][7000/7330] lr: 1.000e-04, eta: 11:04:50, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0338, loss_cls: 0.1770, acc: 93.6333, loss_bbox: 0.2125, loss_mask: 0.2183, loss: 0.6659 2023-11-14 20:15:18,964 - mmdet - INFO - Epoch [15][7050/7330] lr: 1.000e-04, eta: 11:04:37, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0326, loss_cls: 0.1634, acc: 94.1177, loss_bbox: 0.2099, loss_mask: 0.2159, loss: 0.6450 2023-11-14 20:15:31,719 - mmdet - INFO - Epoch [15][7100/7330] lr: 1.000e-04, eta: 11:04:24, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0342, loss_cls: 0.1644, acc: 93.9480, loss_bbox: 0.2125, loss_mask: 0.2140, loss: 0.6494 2023-11-14 20:15:44,314 - mmdet - INFO - Epoch [15][7150/7330] lr: 1.000e-04, eta: 11:04:11, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0325, loss_cls: 0.1681, acc: 93.9905, loss_bbox: 0.2109, loss_mask: 0.2206, loss: 0.6563 2023-11-14 20:15:57,009 - mmdet - INFO - Epoch [15][7200/7330] lr: 1.000e-04, eta: 11:03:57, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0317, loss_cls: 0.1637, acc: 94.1958, loss_bbox: 0.2035, loss_mask: 0.2120, loss: 0.6362 2023-11-14 20:16:09,690 - mmdet - INFO - Epoch [15][7250/7330] lr: 1.000e-04, eta: 11:03:44, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0321, loss_cls: 0.1676, acc: 93.8840, loss_bbox: 0.2115, loss_mask: 0.2184, loss: 0.6538 2023-11-14 20:16:22,270 - mmdet - INFO - Epoch [15][7300/7330] lr: 1.000e-04, eta: 11:03:31, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0326, loss_cls: 0.1722, acc: 93.8020, loss_bbox: 0.2133, loss_mask: 0.2214, loss: 0.6641 2023-11-14 20:16:30,503 - mmdet - INFO - Saving checkpoint at 15 epochs 2023-11-14 20:17:13,770 - mmdet - INFO - Evaluating bbox... 2023-11-14 20:17:42,417 - 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 ] = 0.689 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.518 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.313 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.603 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.591 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.429 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.735 2023-11-14 20:17:42,420 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.579 | bicycle | 0.383 | car | 0.489 | | motorcycle | 0.478 | airplane | 0.677 | bus | 0.693 | | train | 0.670 | truck | 0.395 | boat | 0.330 | | traffic light | 0.293 | fire hydrant | 0.713 | stop sign | 0.673 | | parking meter | 0.510 | bench | 0.305 | bird | 0.413 | | cat | 0.709 | dog | 0.689 | horse | 0.627 | | sheep | 0.591 | cow | 0.628 | elephant | 0.669 | | bear | 0.767 | zebra | 0.675 | giraffe | 0.679 | | backpack | 0.213 | umbrella | 0.441 | handbag | 0.211 | | tie | 0.371 | suitcase | 0.472 | frisbee | 0.683 | | skis | 0.290 | snowboard | 0.411 | sports ball | 0.464 | | kite | 0.445 | baseball bat | 0.417 | baseball glove | 0.434 | | skateboard | 0.575 | surfboard | 0.451 | tennis racket | 0.558 | | bottle | 0.448 | wine glass | 0.391 | cup | 0.497 | | fork | 0.439 | knife | 0.253 | spoon | 0.265 | | bowl | 0.470 | banana | 0.286 | apple | 0.258 | | sandwich | 0.420 | orange | 0.371 | broccoli | 0.276 | | carrot | 0.240 | hot dog | 0.426 | pizza | 0.523 | | donut | 0.552 | cake | 0.438 | chair | 0.352 | | couch | 0.465 | potted plant | 0.354 | bed | 0.447 | | dining table | 0.312 | toilet | 0.627 | tv | 0.616 | | laptop | 0.665 | mouse | 0.637 | remote | 0.390 | | keyboard | 0.560 | cell phone | 0.433 | microwave | 0.594 | | oven | 0.387 | toaster | 0.447 | sink | 0.447 | | refrigerator | 0.618 | book | 0.178 | clock | 0.511 | | vase | 0.425 | scissors | 0.400 | teddy bear | 0.498 | | hair drier | 0.207 | toothbrush | 0.317 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 20:17:42,420 - mmdet - INFO - Evaluating segm... 2023-11-14 20:18:14,377 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.420 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.659 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.454 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.227 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.456 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 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.360 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.580 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.693 2023-11-14 20:18:14,380 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.497 | bicycle | 0.233 | car | 0.449 | | motorcycle | 0.390 | airplane | 0.536 | bus | 0.687 | | train | 0.661 | truck | 0.387 | boat | 0.295 | | traffic light | 0.285 | fire hydrant | 0.693 | stop sign | 0.662 | | parking meter | 0.517 | bench | 0.220 | bird | 0.334 | | cat | 0.712 | dog | 0.645 | horse | 0.464 | | sheep | 0.521 | cow | 0.524 | elephant | 0.607 | | bear | 0.753 | zebra | 0.578 | giraffe | 0.533 | | backpack | 0.214 | umbrella | 0.498 | handbag | 0.210 | | tie | 0.339 | suitcase | 0.477 | frisbee | 0.638 | | skis | 0.051 | snowboard | 0.262 | sports ball | 0.447 | | kite | 0.302 | baseball bat | 0.300 | baseball glove | 0.454 | | skateboard | 0.358 | surfboard | 0.369 | tennis racket | 0.569 | | bottle | 0.416 | wine glass | 0.341 | cup | 0.494 | | fork | 0.234 | knife | 0.165 | spoon | 0.183 | | bowl | 0.442 | banana | 0.236 | apple | 0.253 | | sandwich | 0.440 | orange | 0.371 | broccoli | 0.260 | | carrot | 0.216 | hot dog | 0.312 | pizza | 0.514 | | donut | 0.548 | cake | 0.439 | chair | 0.254 | | couch | 0.396 | potted plant | 0.296 | bed | 0.363 | | dining table | 0.189 | toilet | 0.622 | tv | 0.646 | | laptop | 0.655 | mouse | 0.648 | remote | 0.354 | | keyboard | 0.543 | cell phone | 0.400 | microwave | 0.643 | | oven | 0.365 | toaster | 0.488 | sink | 0.416 | | refrigerator | 0.626 | book | 0.132 | clock | 0.519 | | vase | 0.411 | scissors | 0.298 | teddy bear | 0.476 | | hair drier | 0.123 | toothbrush | 0.221 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 20:18:14,804 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_12.pth was removed 2023-11-14 20:18:16,374 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_15.pth. 2023-11-14 20:18:16,374 - mmdet - INFO - Best bbox_mAP is 0.4689 at 15 epoch. 2023-11-14 20:18:16,374 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:18:16,374 - mmdet - INFO - Epoch(val) [15][625] bbox_mAP: 0.4689, bbox_mAP_50: 0.6894, bbox_mAP_75: 0.5179, bbox_mAP_s: 0.3125, bbox_mAP_m: 0.5135, bbox_mAP_l: 0.6030, bbox_mAP_copypaste: 0.4689 0.6894 0.5179 0.3125 0.5135 0.6030, segm_mAP: 0.4203, segm_mAP_50: 0.6586, segm_mAP_75: 0.4535, segm_mAP_s: 0.2268, segm_mAP_m: 0.4564, segm_mAP_l: 0.6043, segm_mAP_copypaste: 0.4203 0.6586 0.4535 0.2268 0.4564 0.6043 2023-11-14 20:18:32,566 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:18:32,567 - mmdet - INFO - Epoch [16][50/7330] lr: 1.000e-04, eta: 11:03:04, time: 0.324, data_time: 0.075, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0318, loss_cls: 0.1541, acc: 94.3525, loss_bbox: 0.2024, loss_mask: 0.2111, loss: 0.6229 2023-11-14 20:18:45,731 - mmdet - INFO - Epoch [16][100/7330] lr: 1.000e-04, eta: 11:02:51, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0336, loss_cls: 0.1687, acc: 93.9026, loss_bbox: 0.2163, loss_mask: 0.2183, loss: 0.6623 2023-11-14 20:18:58,821 - mmdet - INFO - Epoch [16][150/7330] lr: 1.000e-04, eta: 11:02:38, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0317, loss_cls: 0.1662, acc: 94.0779, loss_bbox: 0.2048, loss_mask: 0.2158, loss: 0.6419 2023-11-14 20:19:11,840 - mmdet - INFO - Epoch [16][200/7330] lr: 1.000e-04, eta: 11:02:25, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1572, acc: 94.2449, loss_bbox: 0.2069, loss_mask: 0.2124, loss: 0.6320 2023-11-14 20:19:24,918 - mmdet - INFO - Epoch [16][250/7330] lr: 1.000e-04, eta: 11:02:13, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0329, loss_cls: 0.1618, acc: 94.0725, loss_bbox: 0.2076, loss_mask: 0.2107, loss: 0.6366 2023-11-14 20:19:38,003 - mmdet - INFO - Epoch [16][300/7330] lr: 1.000e-04, eta: 11:02:00, time: 0.262, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0331, loss_cls: 0.1629, acc: 93.9263, loss_bbox: 0.2102, loss_mask: 0.2143, loss: 0.6441 2023-11-14 20:19:50,949 - mmdet - INFO - Epoch [16][350/7330] lr: 1.000e-04, eta: 11:01:47, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0319, loss_cls: 0.1664, acc: 94.0195, loss_bbox: 0.2097, loss_mask: 0.2168, loss: 0.6493 2023-11-14 20:20:04,035 - mmdet - INFO - Epoch [16][400/7330] lr: 1.000e-04, eta: 11:01:34, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0336, loss_cls: 0.1612, acc: 94.0068, loss_bbox: 0.2123, loss_mask: 0.2160, loss: 0.6462 2023-11-14 20:20:16,837 - mmdet - INFO - Epoch [16][450/7330] lr: 1.000e-04, eta: 11:01:21, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0317, loss_cls: 0.1572, acc: 94.3171, loss_bbox: 0.1997, loss_mask: 0.2081, loss: 0.6187 2023-11-14 20:20:29,974 - mmdet - INFO - Epoch [16][500/7330] lr: 1.000e-04, eta: 11:01:09, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0347, loss_cls: 0.1626, acc: 94.0371, loss_bbox: 0.2097, loss_mask: 0.2117, loss: 0.6435 2023-11-14 20:20:42,954 - mmdet - INFO - Epoch [16][550/7330] lr: 1.000e-04, eta: 11:00:56, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0310, loss_cls: 0.1590, acc: 94.1353, loss_bbox: 0.2056, loss_mask: 0.2119, loss: 0.6308 2023-11-14 20:20:56,096 - mmdet - INFO - Epoch [16][600/7330] lr: 1.000e-04, eta: 11:00:43, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0346, loss_cls: 0.1672, acc: 93.8936, loss_bbox: 0.2112, loss_mask: 0.2126, loss: 0.6518 2023-11-14 20:21:09,184 - mmdet - INFO - Epoch [16][650/7330] lr: 1.000e-04, eta: 11:00:30, time: 0.262, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0336, loss_cls: 0.1633, acc: 94.1487, loss_bbox: 0.2066, loss_mask: 0.2165, loss: 0.6431 2023-11-14 20:21:22,122 - mmdet - INFO - Epoch [16][700/7330] lr: 1.000e-04, eta: 11:00:18, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0342, loss_cls: 0.1616, acc: 94.0696, loss_bbox: 0.2076, loss_mask: 0.2142, loss: 0.6424 2023-11-14 20:21:35,241 - mmdet - INFO - Epoch [16][750/7330] lr: 1.000e-04, eta: 11:00:05, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0332, loss_cls: 0.1618, acc: 94.0193, loss_bbox: 0.2125, loss_mask: 0.2160, loss: 0.6485 2023-11-14 20:21:48,150 - mmdet - INFO - Epoch [16][800/7330] lr: 1.000e-04, eta: 10:59:52, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0328, loss_cls: 0.1624, acc: 94.0742, loss_bbox: 0.2076, loss_mask: 0.2117, loss: 0.6390 2023-11-14 20:22:01,275 - mmdet - INFO - Epoch [16][850/7330] lr: 1.000e-04, eta: 10:59:39, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0332, loss_cls: 0.1512, acc: 94.5005, loss_bbox: 0.1974, loss_mask: 0.2078, loss: 0.6110 2023-11-14 20:22:14,059 - mmdet - INFO - Epoch [16][900/7330] lr: 1.000e-04, eta: 10:59:26, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0319, loss_cls: 0.1663, acc: 93.9395, loss_bbox: 0.2121, loss_mask: 0.2112, loss: 0.6430 2023-11-14 20:22:27,042 - mmdet - INFO - Epoch [16][950/7330] lr: 1.000e-04, eta: 10:59:13, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0346, loss_cls: 0.1727, acc: 93.6780, loss_bbox: 0.2184, loss_mask: 0.2181, loss: 0.6679 2023-11-14 20:22:40,067 - mmdet - INFO - Epoch [16][1000/7330] lr: 1.000e-04, eta: 10:59:01, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0343, loss_cls: 0.1734, acc: 93.6899, loss_bbox: 0.2161, loss_mask: 0.2144, loss: 0.6632 2023-11-14 20:22:52,819 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:22:52,819 - mmdet - INFO - Epoch [16][1050/7330] lr: 1.000e-04, eta: 10:58:47, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0329, loss_cls: 0.1691, acc: 93.8079, loss_bbox: 0.2109, loss_mask: 0.2127, loss: 0.6500 2023-11-14 20:23:05,772 - mmdet - INFO - Epoch [16][1100/7330] lr: 1.000e-04, eta: 10:58:34, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0334, loss_cls: 0.1634, acc: 94.0132, loss_bbox: 0.2112, loss_mask: 0.2156, loss: 0.6477 2023-11-14 20:23:18,790 - mmdet - INFO - Epoch [16][1150/7330] lr: 1.000e-04, eta: 10:58:22, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0340, loss_cls: 0.1702, acc: 93.6963, loss_bbox: 0.2174, loss_mask: 0.2177, loss: 0.6636 2023-11-14 20:23:31,624 - mmdet - INFO - Epoch [16][1200/7330] lr: 1.000e-04, eta: 10:58:09, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0319, loss_cls: 0.1575, acc: 94.2065, loss_bbox: 0.2042, loss_mask: 0.2107, loss: 0.6280 2023-11-14 20:23:44,697 - mmdet - INFO - Epoch [16][1250/7330] lr: 1.000e-04, eta: 10:57:56, time: 0.261, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0324, loss_cls: 0.1679, acc: 93.8855, loss_bbox: 0.2121, loss_mask: 0.2147, loss: 0.6505 2023-11-14 20:23:58,216 - mmdet - INFO - Epoch [16][1300/7330] lr: 1.000e-04, eta: 10:57:44, time: 0.270, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0356, loss_cls: 0.1664, acc: 93.8142, loss_bbox: 0.2156, loss_mask: 0.2171, loss: 0.6592 2023-11-14 20:24:11,257 - mmdet - INFO - Epoch [16][1350/7330] lr: 1.000e-04, eta: 10:57:31, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0353, loss_cls: 0.1670, acc: 93.8049, loss_bbox: 0.2159, loss_mask: 0.2208, loss: 0.6656 2023-11-14 20:24:24,721 - mmdet - INFO - Epoch [16][1400/7330] lr: 1.000e-04, eta: 10:57:19, time: 0.269, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0342, loss_cls: 0.1665, acc: 93.9731, loss_bbox: 0.2109, loss_mask: 0.2205, loss: 0.6548 2023-11-14 20:24:37,608 - mmdet - INFO - Epoch [16][1450/7330] lr: 1.000e-04, eta: 10:57:06, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0316, loss_cls: 0.1603, acc: 94.1472, loss_bbox: 0.2003, loss_mask: 0.2145, loss: 0.6277 2023-11-14 20:24:50,906 - mmdet - INFO - Epoch [16][1500/7330] lr: 1.000e-04, eta: 10:56:53, time: 0.266, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0319, loss_cls: 0.1608, acc: 94.1570, loss_bbox: 0.2056, loss_mask: 0.2078, loss: 0.6286 2023-11-14 20:25:04,135 - mmdet - INFO - Epoch [16][1550/7330] lr: 1.000e-04, eta: 10:56:41, time: 0.265, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0332, loss_cls: 0.1621, acc: 94.0798, loss_bbox: 0.2057, loss_mask: 0.2133, loss: 0.6371 2023-11-14 20:25:17,180 - mmdet - INFO - Epoch [16][1600/7330] lr: 1.000e-04, eta: 10:56:28, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0356, loss_cls: 0.1686, acc: 93.9229, loss_bbox: 0.2127, loss_mask: 0.2145, loss: 0.6556 2023-11-14 20:25:30,017 - mmdet - INFO - Epoch [16][1650/7330] lr: 1.000e-04, eta: 10:56:15, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0317, loss_cls: 0.1639, acc: 94.0073, loss_bbox: 0.2094, loss_mask: 0.2151, loss: 0.6431 2023-11-14 20:25:42,869 - mmdet - INFO - Epoch [16][1700/7330] lr: 1.000e-04, eta: 10:56:02, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0298, loss_cls: 0.1615, acc: 94.1807, loss_bbox: 0.2017, loss_mask: 0.2113, loss: 0.6242 2023-11-14 20:25:55,757 - mmdet - INFO - Epoch [16][1750/7330] lr: 1.000e-04, eta: 10:55:49, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0320, loss_cls: 0.1628, acc: 94.0833, loss_bbox: 0.2015, loss_mask: 0.2146, loss: 0.6337 2023-11-14 20:26:08,785 - mmdet - INFO - Epoch [16][1800/7330] lr: 1.000e-04, eta: 10:55:36, time: 0.261, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0322, loss_cls: 0.1561, acc: 94.3882, loss_bbox: 0.1974, loss_mask: 0.2082, loss: 0.6177 2023-11-14 20:26:21,583 - mmdet - INFO - Epoch [16][1850/7330] lr: 1.000e-04, eta: 10:55:23, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0321, loss_cls: 0.1628, acc: 94.1133, loss_bbox: 0.2037, loss_mask: 0.2157, loss: 0.6384 2023-11-14 20:26:34,492 - mmdet - INFO - Epoch [16][1900/7330] lr: 1.000e-04, eta: 10:55:10, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0339, loss_cls: 0.1661, acc: 93.9485, loss_bbox: 0.2110, loss_mask: 0.2130, loss: 0.6459 2023-11-14 20:26:47,393 - mmdet - INFO - Epoch [16][1950/7330] lr: 1.000e-04, eta: 10:54:57, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0327, loss_cls: 0.1666, acc: 93.9287, loss_bbox: 0.2094, loss_mask: 0.2151, loss: 0.6479 2023-11-14 20:27:00,634 - mmdet - INFO - Epoch [16][2000/7330] lr: 1.000e-04, eta: 10:54:45, time: 0.265, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0330, loss_cls: 0.1685, acc: 94.0049, loss_bbox: 0.2118, loss_mask: 0.2237, loss: 0.6608 2023-11-14 20:27:13,632 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:27:13,632 - mmdet - INFO - Epoch [16][2050/7330] lr: 1.000e-04, eta: 10:54:32, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0319, loss_cls: 0.1628, acc: 94.0732, loss_bbox: 0.2108, loss_mask: 0.2155, loss: 0.6441 2023-11-14 20:27:26,752 - mmdet - INFO - Epoch [16][2100/7330] lr: 1.000e-04, eta: 10:54:19, time: 0.262, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0349, loss_cls: 0.1689, acc: 93.8159, loss_bbox: 0.2192, loss_mask: 0.2195, loss: 0.6668 2023-11-14 20:27:39,620 - mmdet - INFO - Epoch [16][2150/7330] lr: 1.000e-04, eta: 10:54:06, time: 0.257, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0350, loss_cls: 0.1734, acc: 93.7639, loss_bbox: 0.2170, loss_mask: 0.2139, loss: 0.6654 2023-11-14 20:27:52,706 - mmdet - INFO - Epoch [16][2200/7330] lr: 1.000e-04, eta: 10:53:53, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0368, loss_cls: 0.1737, acc: 93.6372, loss_bbox: 0.2222, loss_mask: 0.2193, loss: 0.6782 2023-11-14 20:28:05,611 - mmdet - INFO - Epoch [16][2250/7330] lr: 1.000e-04, eta: 10:53:40, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0320, loss_cls: 0.1629, acc: 94.1455, loss_bbox: 0.2089, loss_mask: 0.2129, loss: 0.6396 2023-11-14 20:28:18,631 - mmdet - INFO - Epoch [16][2300/7330] lr: 1.000e-04, eta: 10:53:28, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0330, loss_cls: 0.1694, acc: 93.8103, loss_bbox: 0.2136, loss_mask: 0.2193, loss: 0.6589 2023-11-14 20:28:31,410 - mmdet - INFO - Epoch [16][2350/7330] lr: 1.000e-04, eta: 10:53:15, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0342, loss_cls: 0.1692, acc: 93.8210, loss_bbox: 0.2154, loss_mask: 0.2128, loss: 0.6554 2023-11-14 20:28:44,351 - mmdet - INFO - Epoch [16][2400/7330] lr: 1.000e-04, eta: 10:53:02, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0329, loss_cls: 0.1649, acc: 94.0186, loss_bbox: 0.2094, loss_mask: 0.2169, loss: 0.6473 2023-11-14 20:28:57,228 - mmdet - INFO - Epoch [16][2450/7330] lr: 1.000e-04, eta: 10:52:49, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0297, loss_cls: 0.1644, acc: 93.9814, loss_bbox: 0.2129, loss_mask: 0.2131, loss: 0.6413 2023-11-14 20:29:09,954 - mmdet - INFO - Epoch [16][2500/7330] lr: 1.000e-04, eta: 10:52:35, time: 0.255, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0318, loss_cls: 0.1569, acc: 94.3323, loss_bbox: 0.2029, loss_mask: 0.2113, loss: 0.6255 2023-11-14 20:29:22,658 - mmdet - INFO - Epoch [16][2550/7330] lr: 1.000e-04, eta: 10:52:22, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0335, loss_cls: 0.1652, acc: 93.9402, loss_bbox: 0.2113, loss_mask: 0.2159, loss: 0.6506 2023-11-14 20:29:35,752 - mmdet - INFO - Epoch [16][2600/7330] lr: 1.000e-04, eta: 10:52:10, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0363, loss_cls: 0.1712, acc: 93.7751, loss_bbox: 0.2149, loss_mask: 0.2175, loss: 0.6666 2023-11-14 20:29:48,486 - mmdet - INFO - Epoch [16][2650/7330] lr: 1.000e-04, eta: 10:51:56, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0322, loss_cls: 0.1641, acc: 93.9724, loss_bbox: 0.2067, loss_mask: 0.2182, loss: 0.6462 2023-11-14 20:30:01,623 - mmdet - INFO - Epoch [16][2700/7330] lr: 1.000e-04, eta: 10:51:44, time: 0.263, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0329, loss_cls: 0.1597, acc: 94.2725, loss_bbox: 0.2018, loss_mask: 0.2080, loss: 0.6263 2023-11-14 20:30:14,502 - mmdet - INFO - Epoch [16][2750/7330] lr: 1.000e-04, eta: 10:51:31, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0332, loss_cls: 0.1619, acc: 94.0708, loss_bbox: 0.2084, loss_mask: 0.2154, loss: 0.6423 2023-11-14 20:30:27,236 - mmdet - INFO - Epoch [16][2800/7330] lr: 1.000e-04, eta: 10:51:17, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0325, loss_cls: 0.1648, acc: 93.9956, loss_bbox: 0.2069, loss_mask: 0.2157, loss: 0.6436 2023-11-14 20:30:39,665 - mmdet - INFO - Epoch [16][2850/7330] lr: 1.000e-04, eta: 10:51:04, time: 0.249, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0312, loss_cls: 0.1634, acc: 94.0139, loss_bbox: 0.2065, loss_mask: 0.2166, loss: 0.6403 2023-11-14 20:30:52,597 - mmdet - INFO - Epoch [16][2900/7330] lr: 1.000e-04, eta: 10:50:51, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0321, loss_cls: 0.1646, acc: 94.0403, loss_bbox: 0.2087, loss_mask: 0.2173, loss: 0.6455 2023-11-14 20:31:05,692 - mmdet - INFO - Epoch [16][2950/7330] lr: 1.000e-04, eta: 10:50:38, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0303, loss_cls: 0.1559, acc: 94.3440, loss_bbox: 0.1962, loss_mask: 0.2063, loss: 0.6107 2023-11-14 20:31:18,480 - mmdet - INFO - Epoch [16][3000/7330] lr: 1.000e-04, eta: 10:50:25, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0330, loss_cls: 0.1670, acc: 94.0447, loss_bbox: 0.2127, loss_mask: 0.2143, loss: 0.6512 2023-11-14 20:31:31,271 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:31:31,271 - mmdet - INFO - Epoch [16][3050/7330] lr: 1.000e-04, eta: 10:50:12, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0357, loss_cls: 0.1709, acc: 93.7686, loss_bbox: 0.2252, loss_mask: 0.2207, loss: 0.6775 2023-11-14 20:31:44,222 - mmdet - INFO - Epoch [16][3100/7330] lr: 1.000e-04, eta: 10:49:59, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0312, loss_cls: 0.1643, acc: 94.1431, loss_bbox: 0.2049, loss_mask: 0.2144, loss: 0.6393 2023-11-14 20:31:57,056 - mmdet - INFO - Epoch [16][3150/7330] lr: 1.000e-04, eta: 10:49:46, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0323, loss_cls: 0.1632, acc: 94.1846, loss_bbox: 0.2046, loss_mask: 0.2131, loss: 0.6391 2023-11-14 20:32:10,265 - mmdet - INFO - Epoch [16][3200/7330] lr: 1.000e-04, eta: 10:49:34, time: 0.264, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0334, loss_cls: 0.1672, acc: 93.9441, loss_bbox: 0.2096, loss_mask: 0.2187, loss: 0.6519 2023-11-14 20:32:23,067 - mmdet - INFO - Epoch [16][3250/7330] lr: 1.000e-04, eta: 10:49:20, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0322, loss_cls: 0.1583, acc: 94.2368, loss_bbox: 0.1994, loss_mask: 0.2077, loss: 0.6206 2023-11-14 20:32:35,935 - mmdet - INFO - Epoch [16][3300/7330] lr: 1.000e-04, eta: 10:49:07, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0308, loss_cls: 0.1606, acc: 94.1565, loss_bbox: 0.2032, loss_mask: 0.2111, loss: 0.6295 2023-11-14 20:32:49,013 - mmdet - INFO - Epoch [16][3350/7330] lr: 1.000e-04, eta: 10:48:55, time: 0.262, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0309, loss_cls: 0.1595, acc: 94.2847, loss_bbox: 0.1984, loss_mask: 0.2090, loss: 0.6212 2023-11-14 20:33:01,835 - mmdet - INFO - Epoch [16][3400/7330] lr: 1.000e-04, eta: 10:48:42, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0307, loss_cls: 0.1589, acc: 94.2405, loss_bbox: 0.2016, loss_mask: 0.2090, loss: 0.6231 2023-11-14 20:33:14,613 - mmdet - INFO - Epoch [16][3450/7330] lr: 1.000e-04, eta: 10:48:28, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0334, loss_cls: 0.1649, acc: 94.0042, loss_bbox: 0.2079, loss_mask: 0.2164, loss: 0.6481 2023-11-14 20:33:27,762 - mmdet - INFO - Epoch [16][3500/7330] lr: 1.000e-04, eta: 10:48:16, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0321, loss_cls: 0.1626, acc: 94.0935, loss_bbox: 0.2060, loss_mask: 0.2168, loss: 0.6410 2023-11-14 20:33:40,552 - mmdet - INFO - Epoch [16][3550/7330] lr: 1.000e-04, eta: 10:48:03, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0301, loss_cls: 0.1631, acc: 94.1284, loss_bbox: 0.2054, loss_mask: 0.2192, loss: 0.6402 2023-11-14 20:33:53,578 - mmdet - INFO - Epoch [16][3600/7330] lr: 1.000e-04, eta: 10:47:50, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0356, loss_cls: 0.1737, acc: 93.6506, loss_bbox: 0.2171, loss_mask: 0.2180, loss: 0.6692 2023-11-14 20:34:06,108 - mmdet - INFO - Epoch [16][3650/7330] lr: 1.000e-04, eta: 10:47:36, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0323, loss_cls: 0.1683, acc: 94.0046, loss_bbox: 0.2114, loss_mask: 0.2147, loss: 0.6524 2023-11-14 20:34:19,167 - mmdet - INFO - Epoch [16][3700/7330] lr: 1.000e-04, eta: 10:47:24, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0334, loss_cls: 0.1699, acc: 93.8164, loss_bbox: 0.2178, loss_mask: 0.2160, loss: 0.6618 2023-11-14 20:34:32,164 - mmdet - INFO - Epoch [16][3750/7330] lr: 1.000e-04, eta: 10:47:11, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0357, loss_cls: 0.1732, acc: 93.7283, loss_bbox: 0.2178, loss_mask: 0.2194, loss: 0.6727 2023-11-14 20:34:44,999 - mmdet - INFO - Epoch [16][3800/7330] lr: 1.000e-04, eta: 10:46:58, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0320, loss_cls: 0.1622, acc: 94.0713, loss_bbox: 0.2053, loss_mask: 0.2181, loss: 0.6401 2023-11-14 20:34:58,873 - mmdet - INFO - Epoch [16][3850/7330] lr: 1.000e-04, eta: 10:46:46, time: 0.278, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0330, loss_cls: 0.1681, acc: 93.9377, loss_bbox: 0.2122, loss_mask: 0.2150, loss: 0.6525 2023-11-14 20:35:11,746 - mmdet - INFO - Epoch [16][3900/7330] lr: 1.000e-04, eta: 10:46:33, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0338, loss_cls: 0.1632, acc: 93.9932, loss_bbox: 0.2088, loss_mask: 0.2213, loss: 0.6507 2023-11-14 20:35:24,545 - mmdet - INFO - Epoch [16][3950/7330] lr: 1.000e-04, eta: 10:46:20, time: 0.256, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0335, loss_cls: 0.1677, acc: 93.8354, loss_bbox: 0.2149, loss_mask: 0.2151, loss: 0.6532 2023-11-14 20:35:37,169 - mmdet - INFO - Epoch [16][4000/7330] lr: 1.000e-04, eta: 10:46:07, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0324, loss_cls: 0.1635, acc: 94.1240, loss_bbox: 0.2053, loss_mask: 0.2150, loss: 0.6392 2023-11-14 20:35:50,271 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:35:50,271 - mmdet - INFO - Epoch [16][4050/7330] lr: 1.000e-04, eta: 10:45:54, time: 0.262, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0319, loss_cls: 0.1596, acc: 94.2734, loss_bbox: 0.1975, loss_mask: 0.2069, loss: 0.6193 2023-11-14 20:36:03,034 - mmdet - INFO - Epoch [16][4100/7330] lr: 1.000e-04, eta: 10:45:41, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0322, loss_cls: 0.1613, acc: 94.1135, loss_bbox: 0.2072, loss_mask: 0.2119, loss: 0.6349 2023-11-14 20:36:16,104 - mmdet - INFO - Epoch [16][4150/7330] lr: 1.000e-04, eta: 10:45:28, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0324, loss_cls: 0.1640, acc: 94.0403, loss_bbox: 0.2062, loss_mask: 0.2132, loss: 0.6382 2023-11-14 20:36:29,421 - mmdet - INFO - Epoch [16][4200/7330] lr: 1.000e-04, eta: 10:45:16, time: 0.266, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0342, loss_cls: 0.1700, acc: 93.8745, loss_bbox: 0.2115, loss_mask: 0.2134, loss: 0.6540 2023-11-14 20:36:42,221 - mmdet - INFO - Epoch [16][4250/7330] lr: 1.000e-04, eta: 10:45:03, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1630, acc: 94.1382, loss_bbox: 0.2048, loss_mask: 0.2115, loss: 0.6311 2023-11-14 20:36:55,373 - mmdet - INFO - Epoch [16][4300/7330] lr: 1.000e-04, eta: 10:44:50, time: 0.263, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0323, loss_cls: 0.1639, acc: 94.0930, loss_bbox: 0.2099, loss_mask: 0.2120, loss: 0.6414 2023-11-14 20:37:08,205 - mmdet - INFO - Epoch [16][4350/7330] lr: 1.000e-04, eta: 10:44:37, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0320, loss_cls: 0.1683, acc: 93.8650, loss_bbox: 0.2104, loss_mask: 0.2202, loss: 0.6544 2023-11-14 20:37:20,782 - mmdet - INFO - Epoch [16][4400/7330] lr: 1.000e-04, eta: 10:44:24, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0318, loss_cls: 0.1645, acc: 94.0378, loss_bbox: 0.2094, loss_mask: 0.2124, loss: 0.6403 2023-11-14 20:37:33,792 - mmdet - INFO - Epoch [16][4450/7330] lr: 1.000e-04, eta: 10:44:11, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0337, loss_cls: 0.1694, acc: 93.8167, loss_bbox: 0.2157, loss_mask: 0.2143, loss: 0.6573 2023-11-14 20:37:46,759 - mmdet - INFO - Epoch [16][4500/7330] lr: 1.000e-04, eta: 10:43:58, time: 0.259, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0334, loss_cls: 0.1671, acc: 93.9500, loss_bbox: 0.2061, loss_mask: 0.2134, loss: 0.6438 2023-11-14 20:37:59,946 - mmdet - INFO - Epoch [16][4550/7330] lr: 1.000e-04, eta: 10:43:45, time: 0.264, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0347, loss_cls: 0.1756, acc: 93.6287, loss_bbox: 0.2148, loss_mask: 0.2180, loss: 0.6700 2023-11-14 20:38:12,682 - mmdet - INFO - Epoch [16][4600/7330] lr: 1.000e-04, eta: 10:43:32, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0292, loss_cls: 0.1586, acc: 94.2727, loss_bbox: 0.1983, loss_mask: 0.2122, loss: 0.6198 2023-11-14 20:38:25,494 - mmdet - INFO - Epoch [16][4650/7330] lr: 1.000e-04, eta: 10:43:19, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0352, loss_cls: 0.1687, acc: 93.8533, loss_bbox: 0.2144, loss_mask: 0.2154, loss: 0.6599 2023-11-14 20:38:38,085 - mmdet - INFO - Epoch [16][4700/7330] lr: 1.000e-04, eta: 10:43:06, time: 0.252, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0317, loss_cls: 0.1672, acc: 93.9019, loss_bbox: 0.2098, loss_mask: 0.2191, loss: 0.6533 2023-11-14 20:38:51,084 - mmdet - INFO - Epoch [16][4750/7330] lr: 1.000e-04, eta: 10:42:53, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0310, loss_cls: 0.1611, acc: 94.1812, loss_bbox: 0.2039, loss_mask: 0.2085, loss: 0.6285 2023-11-14 20:39:03,922 - mmdet - INFO - Epoch [16][4800/7330] lr: 1.000e-04, eta: 10:42:40, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0344, loss_cls: 0.1735, acc: 93.6587, loss_bbox: 0.2201, loss_mask: 0.2158, loss: 0.6697 2023-11-14 20:39:16,792 - mmdet - INFO - Epoch [16][4850/7330] lr: 1.000e-04, eta: 10:42:27, time: 0.257, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0311, loss_cls: 0.1599, acc: 94.1633, loss_bbox: 0.1999, loss_mask: 0.2102, loss: 0.6239 2023-11-14 20:39:29,673 - mmdet - INFO - Epoch [16][4900/7330] lr: 1.000e-04, eta: 10:42:14, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0307, loss_cls: 0.1730, acc: 93.7173, loss_bbox: 0.2123, loss_mask: 0.2094, loss: 0.6483 2023-11-14 20:39:42,586 - mmdet - INFO - Epoch [16][4950/7330] lr: 1.000e-04, eta: 10:42:01, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0324, loss_cls: 0.1630, acc: 94.0720, loss_bbox: 0.2032, loss_mask: 0.2071, loss: 0.6298 2023-11-14 20:39:55,593 - mmdet - INFO - Epoch [16][5000/7330] lr: 1.000e-04, eta: 10:41:48, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0339, loss_cls: 0.1693, acc: 93.8787, loss_bbox: 0.2129, loss_mask: 0.2152, loss: 0.6574 2023-11-14 20:40:08,324 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:40:08,324 - mmdet - INFO - Epoch [16][5050/7330] lr: 1.000e-04, eta: 10:41:35, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0323, loss_cls: 0.1644, acc: 94.0635, loss_bbox: 0.2053, loss_mask: 0.2134, loss: 0.6399 2023-11-14 20:40:21,302 - mmdet - INFO - Epoch [16][5100/7330] lr: 1.000e-04, eta: 10:41:22, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0315, loss_cls: 0.1757, acc: 93.6892, loss_bbox: 0.2195, loss_mask: 0.2180, loss: 0.6667 2023-11-14 20:40:36,202 - mmdet - INFO - Epoch [16][5150/7330] lr: 1.000e-04, eta: 10:41:12, time: 0.298, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0320, loss_cls: 0.1617, acc: 94.1257, loss_bbox: 0.2043, loss_mask: 0.2134, loss: 0.6331 2023-11-14 20:40:48,893 - mmdet - INFO - Epoch [16][5200/7330] lr: 1.000e-04, eta: 10:40:58, time: 0.254, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0322, loss_cls: 0.1645, acc: 94.0691, loss_bbox: 0.2027, loss_mask: 0.2129, loss: 0.6333 2023-11-14 20:41:01,514 - mmdet - INFO - Epoch [16][5250/7330] lr: 1.000e-04, eta: 10:40:45, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0320, loss_cls: 0.1683, acc: 93.8347, loss_bbox: 0.2125, loss_mask: 0.2198, loss: 0.6569 2023-11-14 20:41:14,487 - mmdet - INFO - Epoch [16][5300/7330] lr: 1.000e-04, eta: 10:40:32, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0356, loss_cls: 0.1745, acc: 93.6509, loss_bbox: 0.2240, loss_mask: 0.2165, loss: 0.6762 2023-11-14 20:41:27,190 - mmdet - INFO - Epoch [16][5350/7330] lr: 1.000e-04, eta: 10:40:19, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0316, loss_cls: 0.1652, acc: 94.0728, loss_bbox: 0.2077, loss_mask: 0.2172, loss: 0.6457 2023-11-14 20:41:39,992 - mmdet - INFO - Epoch [16][5400/7330] lr: 1.000e-04, eta: 10:40:06, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0317, loss_cls: 0.1662, acc: 93.9800, loss_bbox: 0.2068, loss_mask: 0.2109, loss: 0.6375 2023-11-14 20:41:53,020 - mmdet - INFO - Epoch [16][5450/7330] lr: 1.000e-04, eta: 10:39:53, time: 0.261, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0320, loss_cls: 0.1686, acc: 93.9277, loss_bbox: 0.2066, loss_mask: 0.2152, loss: 0.6468 2023-11-14 20:42:05,610 - mmdet - INFO - Epoch [16][5500/7330] lr: 1.000e-04, eta: 10:39:40, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0316, loss_cls: 0.1714, acc: 93.8755, loss_bbox: 0.2078, loss_mask: 0.2170, loss: 0.6506 2023-11-14 20:42:18,201 - mmdet - INFO - Epoch [16][5550/7330] lr: 1.000e-04, eta: 10:39:26, time: 0.252, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0338, loss_cls: 0.1662, acc: 94.0054, loss_bbox: 0.2036, loss_mask: 0.2184, loss: 0.6475 2023-11-14 20:42:31,145 - mmdet - INFO - Epoch [16][5600/7330] lr: 1.000e-04, eta: 10:39:13, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0339, loss_cls: 0.1652, acc: 94.0007, loss_bbox: 0.2071, loss_mask: 0.2165, loss: 0.6483 2023-11-14 20:42:43,833 - mmdet - INFO - Epoch [16][5650/7330] lr: 1.000e-04, eta: 10:39:00, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0338, loss_cls: 0.1570, acc: 94.2881, loss_bbox: 0.1988, loss_mask: 0.2159, loss: 0.6298 2023-11-14 20:42:56,985 - mmdet - INFO - Epoch [16][5700/7330] lr: 1.000e-04, eta: 10:38:47, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0340, loss_cls: 0.1647, acc: 94.0439, loss_bbox: 0.2078, loss_mask: 0.2159, loss: 0.6466 2023-11-14 20:43:09,711 - mmdet - INFO - Epoch [16][5750/7330] lr: 1.000e-04, eta: 10:38:34, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0318, loss_cls: 0.1594, acc: 94.1787, loss_bbox: 0.2021, loss_mask: 0.2161, loss: 0.6329 2023-11-14 20:43:22,233 - mmdet - INFO - Epoch [16][5800/7330] lr: 1.000e-04, eta: 10:38:21, time: 0.250, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0306, loss_cls: 0.1606, acc: 94.1624, loss_bbox: 0.1988, loss_mask: 0.2082, loss: 0.6220 2023-11-14 20:43:35,331 - mmdet - INFO - Epoch [16][5850/7330] lr: 1.000e-04, eta: 10:38:08, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0337, loss_cls: 0.1715, acc: 93.8132, loss_bbox: 0.2139, loss_mask: 0.2187, loss: 0.6631 2023-11-14 20:43:48,073 - mmdet - INFO - Epoch [16][5900/7330] lr: 1.000e-04, eta: 10:37:55, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0321, loss_cls: 0.1578, acc: 94.3025, loss_bbox: 0.1958, loss_mask: 0.2059, loss: 0.6142 2023-11-14 20:44:00,756 - mmdet - INFO - Epoch [16][5950/7330] lr: 1.000e-04, eta: 10:37:42, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0335, loss_cls: 0.1663, acc: 93.9236, loss_bbox: 0.2145, loss_mask: 0.2081, loss: 0.6475 2023-11-14 20:44:13,680 - mmdet - INFO - Epoch [16][6000/7330] lr: 1.000e-04, eta: 10:37:29, time: 0.258, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0342, loss_cls: 0.1703, acc: 93.6816, loss_bbox: 0.2178, loss_mask: 0.2120, loss: 0.6594 2023-11-14 20:44:26,524 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:44:26,525 - mmdet - INFO - Epoch [16][6050/7330] lr: 1.000e-04, eta: 10:37:16, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0315, loss_cls: 0.1607, acc: 94.0576, loss_bbox: 0.2030, loss_mask: 0.2107, loss: 0.6275 2023-11-14 20:44:39,270 - mmdet - INFO - Epoch [16][6100/7330] lr: 1.000e-04, eta: 10:37:03, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0346, loss_cls: 0.1741, acc: 93.6987, loss_bbox: 0.2170, loss_mask: 0.2184, loss: 0.6686 2023-11-14 20:44:52,210 - mmdet - INFO - Epoch [16][6150/7330] lr: 1.000e-04, eta: 10:36:50, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0325, loss_cls: 0.1672, acc: 93.9351, loss_bbox: 0.2106, loss_mask: 0.2134, loss: 0.6468 2023-11-14 20:45:05,007 - mmdet - INFO - Epoch [16][6200/7330] lr: 1.000e-04, eta: 10:36:37, time: 0.256, data_time: 0.011, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0314, loss_cls: 0.1669, acc: 93.9836, loss_bbox: 0.2024, loss_mask: 0.2102, loss: 0.6339 2023-11-14 20:45:17,944 - mmdet - INFO - Epoch [16][6250/7330] lr: 1.000e-04, eta: 10:36:24, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0336, loss_cls: 0.1747, acc: 93.6028, loss_bbox: 0.2131, loss_mask: 0.2237, loss: 0.6706 2023-11-14 20:45:30,808 - mmdet - INFO - Epoch [16][6300/7330] lr: 1.000e-04, eta: 10:36:11, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0303, loss_cls: 0.1618, acc: 94.1533, loss_bbox: 0.2074, loss_mask: 0.2183, loss: 0.6398 2023-11-14 20:45:43,595 - mmdet - INFO - Epoch [16][6350/7330] lr: 1.000e-04, eta: 10:35:58, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0345, loss_cls: 0.1707, acc: 93.8149, loss_bbox: 0.2125, loss_mask: 0.2199, loss: 0.6639 2023-11-14 20:45:56,640 - mmdet - INFO - Epoch [16][6400/7330] lr: 1.000e-04, eta: 10:35:45, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0317, loss_cls: 0.1750, acc: 93.6526, loss_bbox: 0.2132, loss_mask: 0.2158, loss: 0.6618 2023-11-14 20:46:09,369 - mmdet - INFO - Epoch [16][6450/7330] lr: 1.000e-04, eta: 10:35:32, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0316, loss_cls: 0.1673, acc: 93.9368, loss_bbox: 0.2096, loss_mask: 0.2143, loss: 0.6464 2023-11-14 20:46:22,053 - mmdet - INFO - Epoch [16][6500/7330] lr: 1.000e-04, eta: 10:35:18, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0304, loss_cls: 0.1613, acc: 94.1707, loss_bbox: 0.2053, loss_mask: 0.2183, loss: 0.6380 2023-11-14 20:46:34,913 - mmdet - INFO - Epoch [16][6550/7330] lr: 1.000e-04, eta: 10:35:05, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0316, loss_cls: 0.1672, acc: 93.8062, loss_bbox: 0.2105, loss_mask: 0.2158, loss: 0.6488 2023-11-14 20:46:47,780 - mmdet - INFO - Epoch [16][6600/7330] lr: 1.000e-04, eta: 10:34:52, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0346, loss_cls: 0.1719, acc: 93.7468, loss_bbox: 0.2143, loss_mask: 0.2174, loss: 0.6631 2023-11-14 20:47:00,574 - mmdet - INFO - Epoch [16][6650/7330] lr: 1.000e-04, eta: 10:34:39, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0329, loss_cls: 0.1640, acc: 93.9316, loss_bbox: 0.2091, loss_mask: 0.2117, loss: 0.6420 2023-11-14 20:47:13,573 - mmdet - INFO - Epoch [16][6700/7330] lr: 1.000e-04, eta: 10:34:26, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0307, loss_cls: 0.1618, acc: 94.0916, loss_bbox: 0.2021, loss_mask: 0.2120, loss: 0.6269 2023-11-14 20:47:26,381 - mmdet - INFO - Epoch [16][6750/7330] lr: 1.000e-04, eta: 10:34:13, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0346, loss_cls: 0.1694, acc: 93.9119, loss_bbox: 0.2136, loss_mask: 0.2139, loss: 0.6565 2023-11-14 20:47:39,446 - mmdet - INFO - Epoch [16][6800/7330] lr: 1.000e-04, eta: 10:34:01, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0318, loss_cls: 0.1639, acc: 94.1633, loss_bbox: 0.2015, loss_mask: 0.2105, loss: 0.6314 2023-11-14 20:47:52,224 - mmdet - INFO - Epoch [16][6850/7330] lr: 1.000e-04, eta: 10:33:47, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0314, loss_cls: 0.1612, acc: 94.1660, loss_bbox: 0.2049, loss_mask: 0.2122, loss: 0.6311 2023-11-14 20:48:05,019 - mmdet - INFO - Epoch [16][6900/7330] lr: 1.000e-04, eta: 10:33:34, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0348, loss_cls: 0.1745, acc: 93.6648, loss_bbox: 0.2184, loss_mask: 0.2178, loss: 0.6719 2023-11-14 20:48:18,055 - mmdet - INFO - Epoch [16][6950/7330] lr: 1.000e-04, eta: 10:33:22, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0323, loss_cls: 0.1644, acc: 94.1062, loss_bbox: 0.2042, loss_mask: 0.2162, loss: 0.6407 2023-11-14 20:48:30,850 - mmdet - INFO - Epoch [16][7000/7330] lr: 1.000e-04, eta: 10:33:08, time: 0.256, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0320, loss_cls: 0.1587, acc: 94.2441, loss_bbox: 0.1996, loss_mask: 0.2084, loss: 0.6212 2023-11-14 20:48:43,508 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:48:43,509 - mmdet - INFO - Epoch [16][7050/7330] lr: 1.000e-04, eta: 10:32:55, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0337, loss_cls: 0.1727, acc: 93.6357, loss_bbox: 0.2160, loss_mask: 0.2158, loss: 0.6621 2023-11-14 20:48:56,183 - mmdet - INFO - Epoch [16][7100/7330] lr: 1.000e-04, eta: 10:32:42, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0339, loss_cls: 0.1662, acc: 93.8926, loss_bbox: 0.2117, loss_mask: 0.2106, loss: 0.6461 2023-11-14 20:49:09,230 - mmdet - INFO - Epoch [16][7150/7330] lr: 1.000e-04, eta: 10:32:29, time: 0.261, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0326, loss_cls: 0.1627, acc: 94.0266, loss_bbox: 0.2032, loss_mask: 0.2125, loss: 0.6355 2023-11-14 20:49:22,001 - mmdet - INFO - Epoch [16][7200/7330] lr: 1.000e-04, eta: 10:32:16, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0347, loss_cls: 0.1673, acc: 93.9258, loss_bbox: 0.2112, loss_mask: 0.2241, loss: 0.6619 2023-11-14 20:49:35,002 - mmdet - INFO - Epoch [16][7250/7330] lr: 1.000e-04, eta: 10:32:03, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0320, loss_cls: 0.1709, acc: 93.8557, loss_bbox: 0.2123, loss_mask: 0.2144, loss: 0.6540 2023-11-14 20:49:47,698 - mmdet - INFO - Epoch [16][7300/7330] lr: 1.000e-04, eta: 10:31:50, time: 0.254, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0294, loss_cls: 0.1605, acc: 94.1899, loss_bbox: 0.2050, loss_mask: 0.2138, loss: 0.6328 2023-11-14 20:49:55,859 - mmdet - INFO - Saving checkpoint at 16 epochs 2023-11-14 20:50:40,622 - mmdet - INFO - Evaluating bbox... 2023-11-14 20:51:08,341 - 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 ] = 0.687 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.307 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 ] = 0.604 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.592 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 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.731 2023-11-14 20:51:08,344 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.579 | bicycle | 0.363 | car | 0.475 | | motorcycle | 0.471 | airplane | 0.709 | bus | 0.696 | | train | 0.658 | truck | 0.430 | boat | 0.330 | | traffic light | 0.290 | fire hydrant | 0.692 | stop sign | 0.668 | | parking meter | 0.528 | bench | 0.297 | bird | 0.401 | | cat | 0.705 | dog | 0.679 | horse | 0.625 | | sheep | 0.573 | cow | 0.632 | elephant | 0.680 | | bear | 0.774 | zebra | 0.663 | giraffe | 0.691 | | backpack | 0.206 | umbrella | 0.441 | handbag | 0.223 | | tie | 0.367 | suitcase | 0.459 | frisbee | 0.689 | | skis | 0.282 | snowboard | 0.429 | sports ball | 0.470 | | kite | 0.443 | baseball bat | 0.405 | baseball glove | 0.413 | | skateboard | 0.588 | surfboard | 0.445 | tennis racket | 0.526 | | bottle | 0.442 | wine glass | 0.423 | cup | 0.483 | | fork | 0.442 | knife | 0.257 | spoon | 0.273 | | bowl | 0.460 | banana | 0.279 | apple | 0.251 | | sandwich | 0.393 | orange | 0.325 | broccoli | 0.248 | | carrot | 0.228 | hot dog | 0.432 | pizza | 0.559 | | donut | 0.541 | cake | 0.399 | chair | 0.355 | | couch | 0.496 | potted plant | 0.334 | bed | 0.457 | | dining table | 0.299 | toilet | 0.630 | tv | 0.626 | | laptop | 0.671 | mouse | 0.651 | remote | 0.411 | | keyboard | 0.542 | cell phone | 0.412 | microwave | 0.574 | | oven | 0.405 | toaster | 0.448 | sink | 0.444 | | refrigerator | 0.645 | book | 0.186 | clock | 0.518 | | vase | 0.411 | scissors | 0.460 | teddy bear | 0.500 | | hair drier | 0.068 | toothbrush | 0.338 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 20:51:08,344 - mmdet - INFO - Evaluating segm... 2023-11-14 20:51:41,137 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.418 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.655 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.449 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 ] = 0.454 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.600 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.362 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 ] = 0.693 2023-11-14 20:51:41,139 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.501 | bicycle | 0.224 | car | 0.440 | | motorcycle | 0.379 | airplane | 0.554 | bus | 0.682 | | train | 0.653 | truck | 0.422 | boat | 0.301 | | traffic light | 0.284 | fire hydrant | 0.661 | stop sign | 0.664 | | parking meter | 0.528 | bench | 0.227 | bird | 0.331 | | cat | 0.696 | dog | 0.645 | horse | 0.451 | | sheep | 0.510 | cow | 0.537 | elephant | 0.619 | | bear | 0.767 | zebra | 0.569 | giraffe | 0.547 | | backpack | 0.206 | umbrella | 0.507 | handbag | 0.202 | | tie | 0.330 | suitcase | 0.479 | frisbee | 0.631 | | skis | 0.048 | snowboard | 0.288 | sports ball | 0.441 | | kite | 0.302 | baseball bat | 0.296 | baseball glove | 0.445 | | skateboard | 0.379 | surfboard | 0.362 | tennis racket | 0.573 | | bottle | 0.423 | wine glass | 0.364 | cup | 0.487 | | fork | 0.227 | knife | 0.174 | spoon | 0.182 | | bowl | 0.425 | banana | 0.228 | apple | 0.248 | | sandwich | 0.414 | orange | 0.331 | broccoli | 0.236 | | carrot | 0.197 | hot dog | 0.356 | pizza | 0.523 | | donut | 0.547 | cake | 0.413 | chair | 0.253 | | couch | 0.424 | potted plant | 0.287 | bed | 0.356 | | dining table | 0.169 | toilet | 0.610 | tv | 0.654 | | laptop | 0.667 | mouse | 0.645 | remote | 0.366 | | keyboard | 0.533 | cell phone | 0.397 | microwave | 0.611 | | oven | 0.375 | toaster | 0.514 | sink | 0.418 | | refrigerator | 0.654 | book | 0.129 | clock | 0.514 | | vase | 0.409 | scissors | 0.294 | teddy bear | 0.479 | | hair drier | 0.054 | toothbrush | 0.207 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 20:51:41,547 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 20:51:41,547 - mmdet - INFO - Epoch(val) [16][625] bbox_mAP: 0.4664, bbox_mAP_50: 0.6869, bbox_mAP_75: 0.5126, bbox_mAP_s: 0.3070, bbox_mAP_m: 0.5067, bbox_mAP_l: 0.6038, bbox_mAP_copypaste: 0.4664 0.6869 0.5126 0.3070 0.5067 0.6038, segm_mAP: 0.4184, segm_mAP_50: 0.6546, segm_mAP_75: 0.4490, segm_mAP_s: 0.2337, segm_mAP_m: 0.4545, segm_mAP_l: 0.6003, segm_mAP_copypaste: 0.4184 0.6546 0.4490 0.2337 0.4545 0.6003 2023-11-14 20:51:57,872 - mmdet - INFO - Epoch [17][50/7330] lr: 1.000e-04, eta: 10:31:24, time: 0.326, data_time: 0.077, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0333, loss_cls: 0.1610, acc: 94.1123, loss_bbox: 0.2083, loss_mask: 0.2171, loss: 0.6434 2023-11-14 20:52:11,163 - mmdet - INFO - Epoch [17][100/7330] lr: 1.000e-04, eta: 10:31:11, time: 0.266, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0336, loss_cls: 0.1540, acc: 94.2722, loss_bbox: 0.2039, loss_mask: 0.2158, loss: 0.6306 2023-11-14 20:52:24,233 - mmdet - INFO - Epoch [17][150/7330] lr: 1.000e-04, eta: 10:30:59, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0319, loss_cls: 0.1581, acc: 94.2788, loss_bbox: 0.2030, loss_mask: 0.2183, loss: 0.6347 2023-11-14 20:52:37,675 - mmdet - INFO - Epoch [17][200/7330] lr: 1.000e-04, eta: 10:30:46, time: 0.269, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0356, loss_cls: 0.1665, acc: 93.8743, loss_bbox: 0.2126, loss_mask: 0.2157, loss: 0.6559 2023-11-14 20:52:50,695 - mmdet - INFO - Epoch [17][250/7330] lr: 1.000e-04, eta: 10:30:34, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0324, loss_cls: 0.1621, acc: 94.1597, loss_bbox: 0.2038, loss_mask: 0.2088, loss: 0.6291 2023-11-14 20:53:04,147 - mmdet - INFO - Epoch [17][300/7330] lr: 1.000e-04, eta: 10:30:21, time: 0.269, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0337, loss_cls: 0.1653, acc: 93.8293, loss_bbox: 0.2156, loss_mask: 0.2143, loss: 0.6530 2023-11-14 20:53:17,367 - mmdet - INFO - Epoch [17][350/7330] lr: 1.000e-04, eta: 10:30:09, time: 0.264, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0350, loss_cls: 0.1642, acc: 93.9495, loss_bbox: 0.2131, loss_mask: 0.2100, loss: 0.6451 2023-11-14 20:53:30,266 - mmdet - INFO - Epoch [17][400/7330] lr: 1.000e-04, eta: 10:29:56, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0310, loss_cls: 0.1588, acc: 94.3147, loss_bbox: 0.1962, loss_mask: 0.2151, loss: 0.6253 2023-11-14 20:53:43,300 - mmdet - INFO - Epoch [17][450/7330] lr: 1.000e-04, eta: 10:29:43, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0314, loss_cls: 0.1624, acc: 94.0454, loss_bbox: 0.2071, loss_mask: 0.2139, loss: 0.6382 2023-11-14 20:53:56,540 - mmdet - INFO - Epoch [17][500/7330] lr: 1.000e-04, eta: 10:29:30, time: 0.265, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0325, loss_cls: 0.1682, acc: 93.9045, loss_bbox: 0.2089, loss_mask: 0.2101, loss: 0.6415 2023-11-14 20:54:09,573 - mmdet - INFO - Epoch [17][550/7330] lr: 1.000e-04, eta: 10:29:18, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0304, loss_cls: 0.1548, acc: 94.4006, loss_bbox: 0.2007, loss_mask: 0.2059, loss: 0.6135 2023-11-14 20:54:22,726 - mmdet - INFO - Epoch [17][600/7330] lr: 1.000e-04, eta: 10:29:05, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0308, loss_cls: 0.1593, acc: 94.2266, loss_bbox: 0.2020, loss_mask: 0.2140, loss: 0.6286 2023-11-14 20:54:35,983 - mmdet - INFO - Epoch [17][650/7330] lr: 1.000e-04, eta: 10:28:52, time: 0.265, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0332, loss_cls: 0.1643, acc: 93.9517, loss_bbox: 0.2124, loss_mask: 0.2151, loss: 0.6472 2023-11-14 20:54:48,853 - mmdet - INFO - Epoch [17][700/7330] lr: 1.000e-04, eta: 10:28:39, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0323, loss_cls: 0.1671, acc: 93.9985, loss_bbox: 0.2097, loss_mask: 0.2124, loss: 0.6469 2023-11-14 20:55:01,560 - mmdet - INFO - Epoch [17][750/7330] lr: 1.000e-04, eta: 10:28:26, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0287, loss_cls: 0.1575, acc: 94.1670, loss_bbox: 0.2019, loss_mask: 0.2125, loss: 0.6211 2023-11-14 20:55:14,780 - mmdet - INFO - Epoch [17][800/7330] lr: 1.000e-04, eta: 10:28:14, time: 0.264, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0307, loss_cls: 0.1541, acc: 94.3623, loss_bbox: 0.1981, loss_mask: 0.2074, loss: 0.6117 2023-11-14 20:55:27,644 - mmdet - INFO - Epoch [17][850/7330] lr: 1.000e-04, eta: 10:28:01, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0319, loss_cls: 0.1636, acc: 94.0864, loss_bbox: 0.2038, loss_mask: 0.2116, loss: 0.6346 2023-11-14 20:55:40,893 - mmdet - INFO - Epoch [17][900/7330] lr: 1.000e-04, eta: 10:27:48, time: 0.265, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0338, loss_cls: 0.1660, acc: 94.0618, loss_bbox: 0.2071, loss_mask: 0.2149, loss: 0.6462 2023-11-14 20:55:53,951 - mmdet - INFO - Epoch [17][950/7330] lr: 1.000e-04, eta: 10:27:35, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0331, loss_cls: 0.1613, acc: 94.0244, loss_bbox: 0.2073, loss_mask: 0.2114, loss: 0.6368 2023-11-14 20:56:06,861 - mmdet - INFO - Epoch [17][1000/7330] lr: 1.000e-04, eta: 10:27:22, time: 0.258, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0333, loss_cls: 0.1727, acc: 93.6450, loss_bbox: 0.2168, loss_mask: 0.2159, loss: 0.6615 2023-11-14 20:56:19,830 - mmdet - INFO - Epoch [17][1050/7330] lr: 1.000e-04, eta: 10:27:10, time: 0.259, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0317, loss_cls: 0.1627, acc: 94.0698, loss_bbox: 0.2051, loss_mask: 0.2115, loss: 0.6355 2023-11-14 20:56:32,977 - mmdet - INFO - Epoch [17][1100/7330] lr: 1.000e-04, eta: 10:26:57, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0334, loss_cls: 0.1638, acc: 93.9634, loss_bbox: 0.2115, loss_mask: 0.2110, loss: 0.6439 2023-11-14 20:56:45,846 - mmdet - INFO - Epoch [17][1150/7330] lr: 1.000e-04, eta: 10:26:44, time: 0.257, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1679, acc: 93.8740, loss_bbox: 0.2109, loss_mask: 0.2176, loss: 0.6495 2023-11-14 20:56:58,765 - mmdet - INFO - Epoch [17][1200/7330] lr: 1.000e-04, eta: 10:26:31, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0311, loss_cls: 0.1606, acc: 94.0203, loss_bbox: 0.2060, loss_mask: 0.2115, loss: 0.6334 2023-11-14 20:57:11,970 - mmdet - INFO - Epoch [17][1250/7330] lr: 1.000e-04, eta: 10:26:18, time: 0.264, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0316, loss_cls: 0.1693, acc: 93.9912, loss_bbox: 0.2087, loss_mask: 0.2100, loss: 0.6442 2023-11-14 20:57:25,117 - mmdet - INFO - Epoch [17][1300/7330] lr: 1.000e-04, eta: 10:26:06, time: 0.263, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0334, loss_cls: 0.1677, acc: 93.8762, loss_bbox: 0.2142, loss_mask: 0.2148, loss: 0.6534 2023-11-14 20:57:38,356 - mmdet - INFO - Epoch [17][1350/7330] lr: 1.000e-04, eta: 10:25:53, time: 0.265, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0326, loss_cls: 0.1635, acc: 94.0007, loss_bbox: 0.2102, loss_mask: 0.2116, loss: 0.6417 2023-11-14 20:57:51,226 - mmdet - INFO - Epoch [17][1400/7330] lr: 1.000e-04, eta: 10:25:40, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0322, loss_cls: 0.1607, acc: 94.3174, loss_bbox: 0.2010, loss_mask: 0.2110, loss: 0.6280 2023-11-14 20:58:04,488 - mmdet - INFO - Epoch [17][1450/7330] lr: 1.000e-04, eta: 10:25:28, time: 0.265, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0327, loss_cls: 0.1650, acc: 94.1084, loss_bbox: 0.1996, loss_mask: 0.2108, loss: 0.6323 2023-11-14 20:58:17,628 - mmdet - INFO - Epoch [17][1500/7330] lr: 1.000e-04, eta: 10:25:15, time: 0.263, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0294, loss_cls: 0.1564, acc: 94.3621, loss_bbox: 0.1986, loss_mask: 0.2058, loss: 0.6111 2023-11-14 20:58:30,693 - mmdet - INFO - Epoch [17][1550/7330] lr: 1.000e-04, eta: 10:25:02, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0311, loss_cls: 0.1619, acc: 94.0916, loss_bbox: 0.2073, loss_mask: 0.2143, loss: 0.6362 2023-11-14 20:58:43,792 - mmdet - INFO - Epoch [17][1600/7330] lr: 1.000e-04, eta: 10:24:49, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0314, loss_cls: 0.1650, acc: 93.9421, loss_bbox: 0.2082, loss_mask: 0.2141, loss: 0.6413 2023-11-14 20:58:56,945 - mmdet - INFO - Epoch [17][1650/7330] lr: 1.000e-04, eta: 10:24:37, time: 0.263, data_time: 0.020, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0351, loss_cls: 0.1646, acc: 94.0605, loss_bbox: 0.2095, loss_mask: 0.2132, loss: 0.6489 2023-11-14 20:59:09,809 - mmdet - INFO - Epoch [17][1700/7330] lr: 1.000e-04, eta: 10:24:24, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0302, loss_cls: 0.1561, acc: 94.4258, loss_bbox: 0.2029, loss_mask: 0.2111, loss: 0.6218 2023-11-14 20:59:22,661 - mmdet - INFO - Epoch [17][1750/7330] lr: 1.000e-04, eta: 10:24:11, time: 0.257, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0342, loss_cls: 0.1638, acc: 93.9861, loss_bbox: 0.2093, loss_mask: 0.2136, loss: 0.6451 2023-11-14 20:59:35,601 - mmdet - INFO - Epoch [17][1800/7330] lr: 1.000e-04, eta: 10:23:58, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0333, loss_cls: 0.1659, acc: 93.9717, loss_bbox: 0.2095, loss_mask: 0.2117, loss: 0.6462 2023-11-14 20:59:48,310 - mmdet - INFO - Epoch [17][1850/7330] lr: 1.000e-04, eta: 10:23:45, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0314, loss_cls: 0.1574, acc: 94.4353, loss_bbox: 0.1970, loss_mask: 0.2076, loss: 0.6150 2023-11-14 21:00:01,320 - mmdet - INFO - Epoch [17][1900/7330] lr: 1.000e-04, eta: 10:23:32, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0336, loss_cls: 0.1657, acc: 93.9807, loss_bbox: 0.2049, loss_mask: 0.2133, loss: 0.6406 2023-11-14 21:00:14,284 - mmdet - INFO - Epoch [17][1950/7330] lr: 1.000e-04, eta: 10:23:19, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0326, loss_cls: 0.1653, acc: 94.0110, loss_bbox: 0.2071, loss_mask: 0.2169, loss: 0.6444 2023-11-14 21:00:27,544 - mmdet - INFO - Epoch [17][2000/7330] lr: 1.000e-04, eta: 10:23:06, time: 0.265, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0313, loss_cls: 0.1606, acc: 94.1538, loss_bbox: 0.2057, loss_mask: 0.2152, loss: 0.6354 2023-11-14 21:00:40,781 - mmdet - INFO - Epoch [17][2050/7330] lr: 1.000e-04, eta: 10:22:54, time: 0.265, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0302, loss_cls: 0.1598, acc: 94.2649, loss_bbox: 0.1981, loss_mask: 0.2152, loss: 0.6263 2023-11-14 21:00:53,758 - mmdet - INFO - Epoch [17][2100/7330] lr: 1.000e-04, eta: 10:22:41, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0329, loss_cls: 0.1653, acc: 94.0413, loss_bbox: 0.2030, loss_mask: 0.2108, loss: 0.6370 2023-11-14 21:01:06,615 - mmdet - INFO - Epoch [17][2150/7330] lr: 1.000e-04, eta: 10:22:28, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0326, loss_cls: 0.1668, acc: 93.9316, loss_bbox: 0.2089, loss_mask: 0.2116, loss: 0.6437 2023-11-14 21:01:19,553 - mmdet - INFO - Epoch [17][2200/7330] lr: 1.000e-04, eta: 10:22:15, time: 0.259, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0335, loss_cls: 0.1580, acc: 94.1936, loss_bbox: 0.2082, loss_mask: 0.2169, loss: 0.6412 2023-11-14 21:01:32,621 - mmdet - INFO - Epoch [17][2250/7330] lr: 1.000e-04, eta: 10:22:02, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0322, loss_cls: 0.1623, acc: 94.0715, loss_bbox: 0.2075, loss_mask: 0.2103, loss: 0.6346 2023-11-14 21:01:45,660 - mmdet - INFO - Epoch [17][2300/7330] lr: 1.000e-04, eta: 10:21:50, time: 0.261, data_time: 0.020, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0325, loss_cls: 0.1638, acc: 93.9944, loss_bbox: 0.2092, loss_mask: 0.2152, loss: 0.6443 2023-11-14 21:01:58,742 - mmdet - INFO - Epoch [17][2350/7330] lr: 1.000e-04, eta: 10:21:37, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0313, loss_cls: 0.1598, acc: 94.1914, loss_bbox: 0.2057, loss_mask: 0.2138, loss: 0.6330 2023-11-14 21:02:11,678 - mmdet - INFO - Epoch [17][2400/7330] lr: 1.000e-04, eta: 10:21:24, time: 0.259, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0321, loss_cls: 0.1638, acc: 93.9990, loss_bbox: 0.2082, loss_mask: 0.2119, loss: 0.6413 2023-11-14 21:02:24,975 - mmdet - INFO - Epoch [17][2450/7330] lr: 1.000e-04, eta: 10:21:11, time: 0.266, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0343, loss_cls: 0.1671, acc: 93.8440, loss_bbox: 0.2140, loss_mask: 0.2125, loss: 0.6546 2023-11-14 21:02:37,860 - mmdet - INFO - Epoch [17][2500/7330] lr: 1.000e-04, eta: 10:20:58, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0310, loss_cls: 0.1612, acc: 94.1995, loss_bbox: 0.2021, loss_mask: 0.2128, loss: 0.6312 2023-11-14 21:02:50,723 - mmdet - INFO - Epoch [17][2550/7330] lr: 1.000e-04, eta: 10:20:45, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1594, acc: 94.2312, loss_bbox: 0.2035, loss_mask: 0.2148, loss: 0.6294 2023-11-14 21:03:03,408 - mmdet - INFO - Epoch [17][2600/7330] lr: 1.000e-04, eta: 10:20:32, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0318, loss_cls: 0.1626, acc: 94.1279, loss_bbox: 0.2078, loss_mask: 0.2147, loss: 0.6421 2023-11-14 21:03:16,290 - mmdet - INFO - Epoch [17][2650/7330] lr: 1.000e-04, eta: 10:20:19, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0330, loss_cls: 0.1609, acc: 94.2024, loss_bbox: 0.2028, loss_mask: 0.2150, loss: 0.6357 2023-11-14 21:03:29,169 - mmdet - INFO - Epoch [17][2700/7330] lr: 1.000e-04, eta: 10:20:06, time: 0.258, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0318, loss_cls: 0.1643, acc: 94.0623, loss_bbox: 0.2074, loss_mask: 0.2167, loss: 0.6411 2023-11-14 21:03:42,180 - mmdet - INFO - Epoch [17][2750/7330] lr: 1.000e-04, eta: 10:19:53, time: 0.260, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0316, loss_cls: 0.1651, acc: 93.9827, loss_bbox: 0.2111, loss_mask: 0.2151, loss: 0.6445 2023-11-14 21:03:54,962 - mmdet - INFO - Epoch [17][2800/7330] lr: 1.000e-04, eta: 10:19:40, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0320, loss_cls: 0.1694, acc: 93.9622, loss_bbox: 0.2127, loss_mask: 0.2133, loss: 0.6496 2023-11-14 21:04:07,928 - mmdet - INFO - Epoch [17][2850/7330] lr: 1.000e-04, eta: 10:19:27, time: 0.259, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0331, loss_cls: 0.1648, acc: 93.8809, loss_bbox: 0.2140, loss_mask: 0.2121, loss: 0.6478 2023-11-14 21:04:20,823 - mmdet - INFO - Epoch [17][2900/7330] lr: 1.000e-04, eta: 10:19:14, time: 0.258, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0309, loss_cls: 0.1636, acc: 94.0396, loss_bbox: 0.2029, loss_mask: 0.2118, loss: 0.6332 2023-11-14 21:04:33,999 - mmdet - INFO - Epoch [17][2950/7330] lr: 1.000e-04, eta: 10:19:02, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0305, loss_cls: 0.1625, acc: 94.1301, loss_bbox: 0.1971, loss_mask: 0.2083, loss: 0.6209 2023-11-14 21:04:46,927 - mmdet - INFO - Epoch [17][3000/7330] lr: 1.000e-04, eta: 10:18:49, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0341, loss_cls: 0.1719, acc: 93.7476, loss_bbox: 0.2144, loss_mask: 0.2213, loss: 0.6658 2023-11-14 21:04:59,863 - mmdet - INFO - Epoch [17][3050/7330] lr: 1.000e-04, eta: 10:18:36, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0324, loss_cls: 0.1646, acc: 94.0305, loss_bbox: 0.2091, loss_mask: 0.2167, loss: 0.6468 2023-11-14 21:05:12,899 - mmdet - INFO - Epoch [17][3100/7330] lr: 1.000e-04, eta: 10:18:23, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0267, loss_rpn_bbox: 0.0351, loss_cls: 0.1734, acc: 93.6804, loss_bbox: 0.2162, loss_mask: 0.2173, loss: 0.6687 2023-11-14 21:05:25,818 - mmdet - INFO - Epoch [17][3150/7330] lr: 1.000e-04, eta: 10:18:10, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0300, loss_cls: 0.1638, acc: 94.1545, loss_bbox: 0.2048, loss_mask: 0.2084, loss: 0.6301 2023-11-14 21:05:38,498 - mmdet - INFO - Epoch [17][3200/7330] lr: 1.000e-04, eta: 10:17:57, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0297, loss_cls: 0.1586, acc: 94.2263, loss_bbox: 0.1979, loss_mask: 0.2118, loss: 0.6210 2023-11-14 21:05:51,605 - mmdet - INFO - Epoch [17][3250/7330] lr: 1.000e-04, eta: 10:17:44, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0320, loss_cls: 0.1615, acc: 94.0964, loss_bbox: 0.2043, loss_mask: 0.2121, loss: 0.6322 2023-11-14 21:06:04,327 - mmdet - INFO - Epoch [17][3300/7330] lr: 1.000e-04, eta: 10:17:31, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0311, loss_cls: 0.1581, acc: 94.2114, loss_bbox: 0.2018, loss_mask: 0.2172, loss: 0.6315 2023-11-14 21:06:17,195 - mmdet - INFO - Epoch [17][3350/7330] lr: 1.000e-04, eta: 10:17:18, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0324, loss_cls: 0.1685, acc: 94.0037, loss_bbox: 0.2115, loss_mask: 0.2201, loss: 0.6559 2023-11-14 21:06:30,066 - mmdet - INFO - Epoch [17][3400/7330] lr: 1.000e-04, eta: 10:17:05, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0329, loss_cls: 0.1690, acc: 93.8960, loss_bbox: 0.2121, loss_mask: 0.2123, loss: 0.6493 2023-11-14 21:06:42,916 - mmdet - INFO - Epoch [17][3450/7330] lr: 1.000e-04, eta: 10:16:52, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0324, loss_cls: 0.1693, acc: 93.8052, loss_bbox: 0.2188, loss_mask: 0.2186, loss: 0.6616 2023-11-14 21:06:55,848 - mmdet - INFO - Epoch [17][3500/7330] lr: 1.000e-04, eta: 10:16:39, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0332, loss_cls: 0.1662, acc: 93.8979, loss_bbox: 0.2108, loss_mask: 0.2212, loss: 0.6555 2023-11-14 21:07:08,748 - mmdet - INFO - Epoch [17][3550/7330] lr: 1.000e-04, eta: 10:16:26, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0345, loss_cls: 0.1672, acc: 93.9653, loss_bbox: 0.2108, loss_mask: 0.2151, loss: 0.6526 2023-11-14 21:07:21,508 - mmdet - INFO - Epoch [17][3600/7330] lr: 1.000e-04, eta: 10:16:13, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0319, loss_cls: 0.1632, acc: 94.0879, loss_bbox: 0.2091, loss_mask: 0.2148, loss: 0.6433 2023-11-14 21:07:34,284 - mmdet - INFO - Epoch [17][3650/7330] lr: 1.000e-04, eta: 10:16:00, time: 0.256, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0321, loss_cls: 0.1638, acc: 94.1157, loss_bbox: 0.2015, loss_mask: 0.2167, loss: 0.6386 2023-11-14 21:07:47,364 - mmdet - INFO - Epoch [17][3700/7330] lr: 1.000e-04, eta: 10:15:47, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0322, loss_cls: 0.1615, acc: 94.1233, loss_bbox: 0.2052, loss_mask: 0.2208, loss: 0.6426 2023-11-14 21:08:00,454 - mmdet - INFO - Epoch [17][3750/7330] lr: 1.000e-04, eta: 10:15:35, time: 0.262, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0315, loss_cls: 0.1637, acc: 94.0701, loss_bbox: 0.2068, loss_mask: 0.2139, loss: 0.6386 2023-11-14 21:08:13,374 - mmdet - INFO - Epoch [17][3800/7330] lr: 1.000e-04, eta: 10:15:22, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0309, loss_cls: 0.1503, acc: 94.5188, loss_bbox: 0.1985, loss_mask: 0.2107, loss: 0.6118 2023-11-14 21:08:26,293 - mmdet - INFO - Epoch [17][3850/7330] lr: 1.000e-04, eta: 10:15:09, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0346, loss_cls: 0.1690, acc: 93.8938, loss_bbox: 0.2145, loss_mask: 0.2172, loss: 0.6604 2023-11-14 21:08:39,305 - mmdet - INFO - Epoch [17][3900/7330] lr: 1.000e-04, eta: 10:14:56, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0328, loss_cls: 0.1683, acc: 93.9146, loss_bbox: 0.2092, loss_mask: 0.2159, loss: 0.6500 2023-11-14 21:08:52,178 - mmdet - INFO - Epoch [17][3950/7330] lr: 1.000e-04, eta: 10:14:43, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0348, loss_cls: 0.1697, acc: 93.8335, loss_bbox: 0.2163, loss_mask: 0.2186, loss: 0.6629 2023-11-14 21:09:05,028 - mmdet - INFO - Epoch [17][4000/7330] lr: 1.000e-04, eta: 10:14:30, time: 0.257, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0308, loss_cls: 0.1605, acc: 94.1699, loss_bbox: 0.2067, loss_mask: 0.2137, loss: 0.6337 2023-11-14 21:09:17,578 - mmdet - INFO - Epoch [17][4050/7330] lr: 1.000e-04, eta: 10:14:16, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0315, loss_cls: 0.1633, acc: 93.9431, loss_bbox: 0.2070, loss_mask: 0.2156, loss: 0.6411 2023-11-14 21:09:30,353 - mmdet - INFO - Epoch [17][4100/7330] lr: 1.000e-04, eta: 10:14:03, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0315, loss_cls: 0.1655, acc: 94.0520, loss_bbox: 0.2081, loss_mask: 0.2089, loss: 0.6353 2023-11-14 21:09:43,042 - mmdet - INFO - Epoch [17][4150/7330] lr: 1.000e-04, eta: 10:13:50, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0312, loss_cls: 0.1565, acc: 94.2236, loss_bbox: 0.1991, loss_mask: 0.2135, loss: 0.6235 2023-11-14 21:09:55,839 - mmdet - INFO - Epoch [17][4200/7330] lr: 1.000e-04, eta: 10:13:37, time: 0.256, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0336, loss_cls: 0.1669, acc: 93.9277, loss_bbox: 0.2135, loss_mask: 0.2164, loss: 0.6554 2023-11-14 21:10:08,783 - mmdet - INFO - Epoch [17][4250/7330] lr: 1.000e-04, eta: 10:13:24, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0346, loss_cls: 0.1689, acc: 93.8188, loss_bbox: 0.2114, loss_mask: 0.2157, loss: 0.6558 2023-11-14 21:10:21,412 - mmdet - INFO - Epoch [17][4300/7330] lr: 1.000e-04, eta: 10:13:11, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1669, acc: 94.0488, loss_bbox: 0.2081, loss_mask: 0.2137, loss: 0.6454 2023-11-14 21:10:34,561 - mmdet - INFO - Epoch [17][4350/7330] lr: 1.000e-04, eta: 10:12:58, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0312, loss_cls: 0.1617, acc: 94.0840, loss_bbox: 0.2051, loss_mask: 0.2182, loss: 0.6380 2023-11-14 21:10:47,495 - mmdet - INFO - Epoch [17][4400/7330] lr: 1.000e-04, eta: 10:12:45, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0327, loss_cls: 0.1677, acc: 93.8882, loss_bbox: 0.2080, loss_mask: 0.2102, loss: 0.6421 2023-11-14 21:11:00,291 - mmdet - INFO - Epoch [17][4450/7330] lr: 1.000e-04, eta: 10:12:32, time: 0.256, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0318, loss_cls: 0.1617, acc: 94.1484, loss_bbox: 0.2051, loss_mask: 0.2165, loss: 0.6387 2023-11-14 21:11:13,634 - mmdet - INFO - Epoch [17][4500/7330] lr: 1.000e-04, eta: 10:12:20, time: 0.267, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0348, loss_cls: 0.1677, acc: 93.9504, loss_bbox: 0.2042, loss_mask: 0.2138, loss: 0.6476 2023-11-14 21:11:26,557 - mmdet - INFO - Epoch [17][4550/7330] lr: 1.000e-04, eta: 10:12:07, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0322, loss_cls: 0.1638, acc: 94.0454, loss_bbox: 0.2095, loss_mask: 0.2142, loss: 0.6427 2023-11-14 21:11:39,475 - mmdet - INFO - Epoch [17][4600/7330] lr: 1.000e-04, eta: 10:11:54, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0304, loss_cls: 0.1584, acc: 94.2192, loss_bbox: 0.2022, loss_mask: 0.2088, loss: 0.6217 2023-11-14 21:11:52,311 - mmdet - INFO - Epoch [17][4650/7330] lr: 1.000e-04, eta: 10:11:41, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0338, loss_cls: 0.1675, acc: 93.9651, loss_bbox: 0.2074, loss_mask: 0.2099, loss: 0.6428 2023-11-14 21:12:05,379 - mmdet - INFO - Epoch [17][4700/7330] lr: 1.000e-04, eta: 10:11:28, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0326, loss_cls: 0.1637, acc: 94.0310, loss_bbox: 0.2033, loss_mask: 0.2148, loss: 0.6388 2023-11-14 21:12:18,357 - mmdet - INFO - Epoch [17][4750/7330] lr: 1.000e-04, eta: 10:11:15, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0322, loss_cls: 0.1711, acc: 93.7998, loss_bbox: 0.2117, loss_mask: 0.2150, loss: 0.6528 2023-11-14 21:12:31,419 - mmdet - INFO - Epoch [17][4800/7330] lr: 1.000e-04, eta: 10:11:02, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0353, loss_cls: 0.1640, acc: 94.0371, loss_bbox: 0.2100, loss_mask: 0.2106, loss: 0.6458 2023-11-14 21:12:44,115 - mmdet - INFO - Epoch [17][4850/7330] lr: 1.000e-04, eta: 10:10:49, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0312, loss_cls: 0.1636, acc: 94.1157, loss_bbox: 0.2044, loss_mask: 0.2135, loss: 0.6358 2023-11-14 21:12:56,814 - mmdet - INFO - Epoch [17][4900/7330] lr: 1.000e-04, eta: 10:10:36, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0302, loss_cls: 0.1565, acc: 94.3560, loss_bbox: 0.1966, loss_mask: 0.2092, loss: 0.6146 2023-11-14 21:13:09,856 - mmdet - INFO - Epoch [17][4950/7330] lr: 1.000e-04, eta: 10:10:23, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0338, loss_cls: 0.1659, acc: 93.9695, loss_bbox: 0.2113, loss_mask: 0.2198, loss: 0.6553 2023-11-14 21:13:22,855 - mmdet - INFO - Epoch [17][5000/7330] lr: 1.000e-04, eta: 10:10:10, time: 0.260, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0312, loss_cls: 0.1597, acc: 94.1682, loss_bbox: 0.2015, loss_mask: 0.2091, loss: 0.6256 2023-11-14 21:13:37,257 - mmdet - INFO - Epoch [17][5050/7330] lr: 1.000e-04, eta: 10:09:59, time: 0.288, data_time: 0.031, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0325, loss_cls: 0.1665, acc: 93.9746, loss_bbox: 0.2058, loss_mask: 0.2160, loss: 0.6443 2023-11-14 21:13:50,330 - mmdet - INFO - Epoch [17][5100/7330] lr: 1.000e-04, eta: 10:09:46, time: 0.261, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0337, loss_cls: 0.1657, acc: 94.0049, loss_bbox: 0.2079, loss_mask: 0.2147, loss: 0.6450 2023-11-14 21:14:03,309 - mmdet - INFO - Epoch [17][5150/7330] lr: 1.000e-04, eta: 10:09:34, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0354, loss_cls: 0.1799, acc: 93.4065, loss_bbox: 0.2272, loss_mask: 0.2223, loss: 0.6910 2023-11-14 21:14:16,432 - mmdet - INFO - Epoch [17][5200/7330] lr: 1.000e-04, eta: 10:09:21, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1669, acc: 93.8918, loss_bbox: 0.2110, loss_mask: 0.2111, loss: 0.6446 2023-11-14 21:14:29,075 - mmdet - INFO - Epoch [17][5250/7330] lr: 1.000e-04, eta: 10:09:08, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0311, loss_cls: 0.1552, acc: 94.3608, loss_bbox: 0.2003, loss_mask: 0.2108, loss: 0.6204 2023-11-14 21:14:42,020 - mmdet - INFO - Epoch [17][5300/7330] lr: 1.000e-04, eta: 10:08:55, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0326, loss_cls: 0.1668, acc: 93.9404, loss_bbox: 0.2092, loss_mask: 0.2164, loss: 0.6505 2023-11-14 21:14:55,094 - mmdet - INFO - Epoch [17][5350/7330] lr: 1.000e-04, eta: 10:08:42, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0333, loss_cls: 0.1704, acc: 93.9473, loss_bbox: 0.2071, loss_mask: 0.2137, loss: 0.6505 2023-11-14 21:15:08,202 - mmdet - INFO - Epoch [17][5400/7330] lr: 1.000e-04, eta: 10:08:29, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0327, loss_cls: 0.1685, acc: 93.8877, loss_bbox: 0.2135, loss_mask: 0.2154, loss: 0.6546 2023-11-14 21:15:20,948 - mmdet - INFO - Epoch [17][5450/7330] lr: 1.000e-04, eta: 10:08:16, time: 0.255, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0319, loss_cls: 0.1606, acc: 94.1316, loss_bbox: 0.2034, loss_mask: 0.2122, loss: 0.6334 2023-11-14 21:15:33,667 - mmdet - INFO - Epoch [17][5500/7330] lr: 1.000e-04, eta: 10:08:03, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0304, loss_cls: 0.1608, acc: 94.1567, loss_bbox: 0.2080, loss_mask: 0.2108, loss: 0.6343 2023-11-14 21:15:46,378 - mmdet - INFO - Epoch [17][5550/7330] lr: 1.000e-04, eta: 10:07:50, time: 0.254, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0320, loss_cls: 0.1634, acc: 94.0637, loss_bbox: 0.2064, loss_mask: 0.2081, loss: 0.6333 2023-11-14 21:15:59,092 - mmdet - INFO - Epoch [17][5600/7330] lr: 1.000e-04, eta: 10:07:37, time: 0.254, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0322, loss_cls: 0.1633, acc: 94.0493, loss_bbox: 0.2069, loss_mask: 0.2109, loss: 0.6345 2023-11-14 21:16:12,121 - mmdet - INFO - Epoch [17][5650/7330] lr: 1.000e-04, eta: 10:07:24, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0330, loss_cls: 0.1707, acc: 93.7900, loss_bbox: 0.2164, loss_mask: 0.2093, loss: 0.6531 2023-11-14 21:16:25,178 - mmdet - INFO - Epoch [17][5700/7330] lr: 1.000e-04, eta: 10:07:11, time: 0.261, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0326, loss_cls: 0.1614, acc: 94.1782, loss_bbox: 0.2089, loss_mask: 0.2137, loss: 0.6387 2023-11-14 21:16:37,817 - mmdet - INFO - Epoch [17][5750/7330] lr: 1.000e-04, eta: 10:06:58, time: 0.253, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0311, loss_cls: 0.1604, acc: 94.1885, loss_bbox: 0.2027, loss_mask: 0.2100, loss: 0.6276 2023-11-14 21:16:50,689 - mmdet - INFO - Epoch [17][5800/7330] lr: 1.000e-04, eta: 10:06:45, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0315, loss_cls: 0.1635, acc: 94.0449, loss_bbox: 0.2075, loss_mask: 0.2126, loss: 0.6395 2023-11-14 21:17:03,719 - mmdet - INFO - Epoch [17][5850/7330] lr: 1.000e-04, eta: 10:06:32, time: 0.261, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0347, loss_cls: 0.1704, acc: 93.8374, loss_bbox: 0.2167, loss_mask: 0.2177, loss: 0.6654 2023-11-14 21:17:16,792 - mmdet - INFO - Epoch [17][5900/7330] lr: 1.000e-04, eta: 10:06:19, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0327, loss_cls: 0.1666, acc: 93.9573, loss_bbox: 0.2082, loss_mask: 0.2106, loss: 0.6435 2023-11-14 21:17:29,927 - mmdet - INFO - Epoch [17][5950/7330] lr: 1.000e-04, eta: 10:06:06, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0337, loss_cls: 0.1609, acc: 94.0894, loss_bbox: 0.2082, loss_mask: 0.2118, loss: 0.6383 2023-11-14 21:17:43,078 - mmdet - INFO - Epoch [17][6000/7330] lr: 1.000e-04, eta: 10:05:54, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0332, loss_cls: 0.1636, acc: 93.9517, loss_bbox: 0.2109, loss_mask: 0.2161, loss: 0.6484 2023-11-14 21:17:56,061 - mmdet - INFO - Epoch [17][6050/7330] lr: 1.000e-04, eta: 10:05:41, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0334, loss_cls: 0.1652, acc: 93.8870, loss_bbox: 0.2106, loss_mask: 0.2142, loss: 0.6467 2023-11-14 21:18:08,966 - mmdet - INFO - Epoch [17][6100/7330] lr: 1.000e-04, eta: 10:05:28, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0347, loss_cls: 0.1695, acc: 93.7969, loss_bbox: 0.2147, loss_mask: 0.2168, loss: 0.6622 2023-11-14 21:18:21,516 - mmdet - INFO - Epoch [17][6150/7330] lr: 1.000e-04, eta: 10:05:15, time: 0.251, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0294, loss_cls: 0.1535, acc: 94.4255, loss_bbox: 0.1977, loss_mask: 0.2092, loss: 0.6096 2023-11-14 21:18:33,992 - mmdet - INFO - Epoch [17][6200/7330] lr: 1.000e-04, eta: 10:05:01, time: 0.250, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0315, loss_cls: 0.1635, acc: 93.9849, loss_bbox: 0.2042, loss_mask: 0.2120, loss: 0.6359 2023-11-14 21:18:46,822 - mmdet - INFO - Epoch [17][6250/7330] lr: 1.000e-04, eta: 10:04:48, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0297, loss_cls: 0.1517, acc: 94.4014, loss_bbox: 0.1974, loss_mask: 0.2066, loss: 0.6073 2023-11-14 21:18:59,938 - mmdet - INFO - Epoch [17][6300/7330] lr: 1.000e-04, eta: 10:04:35, time: 0.262, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0346, loss_cls: 0.1694, acc: 93.8171, loss_bbox: 0.2112, loss_mask: 0.2154, loss: 0.6568 2023-11-14 21:19:13,034 - mmdet - INFO - Epoch [17][6350/7330] lr: 1.000e-04, eta: 10:04:23, time: 0.262, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0341, loss_cls: 0.1693, acc: 93.8384, loss_bbox: 0.2163, loss_mask: 0.2188, loss: 0.6637 2023-11-14 21:19:26,142 - mmdet - INFO - Epoch [17][6400/7330] lr: 1.000e-04, eta: 10:04:10, time: 0.262, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0321, loss_cls: 0.1649, acc: 93.9780, loss_bbox: 0.2087, loss_mask: 0.2158, loss: 0.6447 2023-11-14 21:19:38,915 - mmdet - INFO - Epoch [17][6450/7330] lr: 1.000e-04, eta: 10:03:57, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0339, loss_cls: 0.1606, acc: 94.1497, loss_bbox: 0.2038, loss_mask: 0.2174, loss: 0.6401 2023-11-14 21:19:51,730 - mmdet - INFO - Epoch [17][6500/7330] lr: 1.000e-04, eta: 10:03:44, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0331, loss_cls: 0.1644, acc: 94.0364, loss_bbox: 0.2079, loss_mask: 0.2138, loss: 0.6453 2023-11-14 21:20:04,561 - mmdet - INFO - Epoch [17][6550/7330] lr: 1.000e-04, eta: 10:03:31, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0345, loss_cls: 0.1726, acc: 93.7019, loss_bbox: 0.2196, loss_mask: 0.2228, loss: 0.6754 2023-11-14 21:20:17,613 - mmdet - INFO - Epoch [17][6600/7330] lr: 1.000e-04, eta: 10:03:18, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0341, loss_cls: 0.1706, acc: 93.7920, loss_bbox: 0.2122, loss_mask: 0.2170, loss: 0.6575 2023-11-14 21:20:30,503 - mmdet - INFO - Epoch [17][6650/7330] lr: 1.000e-04, eta: 10:03:05, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0318, loss_cls: 0.1669, acc: 94.0710, loss_bbox: 0.2087, loss_mask: 0.2123, loss: 0.6430 2023-11-14 21:20:43,477 - mmdet - INFO - Epoch [17][6700/7330] lr: 1.000e-04, eta: 10:02:52, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0309, loss_cls: 0.1606, acc: 94.1760, loss_bbox: 0.2052, loss_mask: 0.2133, loss: 0.6351 2023-11-14 21:20:56,372 - mmdet - INFO - Epoch [17][6750/7330] lr: 1.000e-04, eta: 10:02:39, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0335, loss_cls: 0.1671, acc: 93.8879, loss_bbox: 0.2152, loss_mask: 0.2115, loss: 0.6513 2023-11-14 21:21:09,269 - mmdet - INFO - Epoch [17][6800/7330] lr: 1.000e-04, eta: 10:02:26, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0264, loss_rpn_bbox: 0.0325, loss_cls: 0.1701, acc: 93.7769, loss_bbox: 0.2127, loss_mask: 0.2192, loss: 0.6609 2023-11-14 21:21:22,262 - mmdet - INFO - Epoch [17][6850/7330] lr: 1.000e-04, eta: 10:02:13, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0335, loss_cls: 0.1659, acc: 94.0159, loss_bbox: 0.2114, loss_mask: 0.2211, loss: 0.6576 2023-11-14 21:21:35,044 - mmdet - INFO - Epoch [17][6900/7330] lr: 1.000e-04, eta: 10:02:00, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0331, loss_cls: 0.1690, acc: 93.9072, loss_bbox: 0.2080, loss_mask: 0.2133, loss: 0.6483 2023-11-14 21:21:47,915 - mmdet - INFO - Epoch [17][6950/7330] lr: 1.000e-04, eta: 10:01:47, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0324, loss_cls: 0.1607, acc: 94.1248, loss_bbox: 0.2025, loss_mask: 0.2110, loss: 0.6273 2023-11-14 21:22:00,468 - mmdet - INFO - Epoch [17][7000/7330] lr: 1.000e-04, eta: 10:01:34, time: 0.251, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0326, loss_cls: 0.1687, acc: 94.0015, loss_bbox: 0.2084, loss_mask: 0.2151, loss: 0.6494 2023-11-14 21:22:13,364 - mmdet - INFO - Epoch [17][7050/7330] lr: 1.000e-04, eta: 10:01:21, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0302, loss_cls: 0.1588, acc: 94.1567, loss_bbox: 0.2041, loss_mask: 0.2157, loss: 0.6311 2023-11-14 21:22:26,230 - mmdet - INFO - Epoch [17][7100/7330] lr: 1.000e-04, eta: 10:01:08, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0327, loss_cls: 0.1625, acc: 94.1113, loss_bbox: 0.2078, loss_mask: 0.2136, loss: 0.6399 2023-11-14 21:22:39,234 - mmdet - INFO - Epoch [17][7150/7330] lr: 1.000e-04, eta: 10:00:55, time: 0.260, data_time: 0.019, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0355, loss_cls: 0.1696, acc: 93.8943, loss_bbox: 0.2143, loss_mask: 0.2147, loss: 0.6594 2023-11-14 21:22:53,206 - mmdet - INFO - Epoch [17][7200/7330] lr: 1.000e-04, eta: 10:00:43, time: 0.279, data_time: 0.035, memory: 4697, loss_rpn_cls: 0.0274, loss_rpn_bbox: 0.0339, loss_cls: 0.1736, acc: 93.6929, loss_bbox: 0.2179, loss_mask: 0.2127, loss: 0.6653 2023-11-14 21:23:06,070 - mmdet - INFO - Epoch [17][7250/7330] lr: 1.000e-04, eta: 10:00:30, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0349, loss_cls: 0.1605, acc: 94.2620, loss_bbox: 0.2048, loss_mask: 0.2143, loss: 0.6388 2023-11-14 21:23:18,923 - mmdet - INFO - Epoch [17][7300/7330] lr: 1.000e-04, eta: 10:00:17, time: 0.257, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0333, loss_cls: 0.1684, acc: 93.9253, loss_bbox: 0.2072, loss_mask: 0.2146, loss: 0.6460 2023-11-14 21:23:26,948 - mmdet - INFO - Saving checkpoint at 17 epochs 2023-11-14 21:24:08,055 - mmdet - INFO - Evaluating bbox... 2023-11-14 21:24:39,220 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.465 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.682 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.293 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.509 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.601 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.589 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.589 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.589 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.409 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.634 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.731 2023-11-14 21:24:39,223 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.575 | bicycle | 0.361 | car | 0.479 | | motorcycle | 0.479 | airplane | 0.711 | bus | 0.675 | | train | 0.679 | truck | 0.430 | boat | 0.332 | | traffic light | 0.299 | fire hydrant | 0.721 | stop sign | 0.670 | | parking meter | 0.535 | bench | 0.305 | bird | 0.400 | | cat | 0.719 | dog | 0.673 | horse | 0.612 | | sheep | 0.565 | cow | 0.602 | elephant | 0.673 | | bear | 0.699 | zebra | 0.682 | giraffe | 0.678 | | backpack | 0.202 | umbrella | 0.453 | handbag | 0.218 | | tie | 0.383 | suitcase | 0.434 | frisbee | 0.695 | | skis | 0.291 | snowboard | 0.415 | sports ball | 0.455 | | kite | 0.460 | baseball bat | 0.410 | baseball glove | 0.414 | | skateboard | 0.588 | surfboard | 0.456 | tennis racket | 0.534 | | bottle | 0.439 | wine glass | 0.409 | cup | 0.486 | | fork | 0.432 | knife | 0.270 | spoon | 0.280 | | bowl | 0.445 | banana | 0.292 | apple | 0.227 | | sandwich | 0.369 | orange | 0.330 | broccoli | 0.244 | | carrot | 0.245 | hot dog | 0.424 | pizza | 0.542 | | donut | 0.547 | cake | 0.414 | chair | 0.339 | | couch | 0.490 | potted plant | 0.350 | bed | 0.482 | | dining table | 0.303 | toilet | 0.664 | tv | 0.641 | | laptop | 0.660 | mouse | 0.649 | remote | 0.406 | | keyboard | 0.557 | cell phone | 0.408 | microwave | 0.573 | | oven | 0.424 | toaster | 0.427 | sink | 0.424 | | refrigerator | 0.620 | book | 0.180 | clock | 0.519 | | vase | 0.422 | scissors | 0.363 | teddy bear | 0.504 | | hair drier | 0.078 | toothbrush | 0.340 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 21:24:39,223 - mmdet - INFO - Evaluating segm... 2023-11-14 21:25:12,954 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.415 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.652 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.447 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 ] = 0.452 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.600 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.348 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.577 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.691 2023-11-14 21:25:12,956 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.500 | bicycle | 0.222 | car | 0.433 | | motorcycle | 0.383 | airplane | 0.545 | bus | 0.660 | | train | 0.648 | truck | 0.415 | boat | 0.286 | | traffic light | 0.287 | fire hydrant | 0.696 | stop sign | 0.661 | | parking meter | 0.517 | bench | 0.218 | bird | 0.329 | | cat | 0.717 | dog | 0.626 | horse | 0.456 | | sheep | 0.499 | cow | 0.518 | elephant | 0.615 | | bear | 0.711 | zebra | 0.586 | giraffe | 0.535 | | backpack | 0.204 | umbrella | 0.518 | handbag | 0.200 | | tie | 0.347 | suitcase | 0.455 | frisbee | 0.632 | | skis | 0.049 | snowboard | 0.264 | sports ball | 0.446 | | kite | 0.328 | baseball bat | 0.304 | baseball glove | 0.434 | | skateboard | 0.368 | surfboard | 0.371 | tennis racket | 0.570 | | bottle | 0.414 | wine glass | 0.352 | cup | 0.484 | | fork | 0.234 | knife | 0.175 | spoon | 0.182 | | bowl | 0.416 | banana | 0.240 | apple | 0.221 | | sandwich | 0.408 | orange | 0.329 | broccoli | 0.232 | | carrot | 0.216 | hot dog | 0.345 | pizza | 0.521 | | donut | 0.540 | cake | 0.418 | chair | 0.236 | | couch | 0.416 | potted plant | 0.291 | bed | 0.377 | | dining table | 0.172 | toilet | 0.638 | tv | 0.656 | | laptop | 0.662 | mouse | 0.645 | remote | 0.363 | | keyboard | 0.527 | cell phone | 0.379 | microwave | 0.608 | | oven | 0.382 | toaster | 0.494 | sink | 0.413 | | refrigerator | 0.615 | book | 0.133 | clock | 0.518 | | vase | 0.407 | scissors | 0.286 | teddy bear | 0.475 | | hair drier | 0.042 | toothbrush | 0.214 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 21:25:13,416 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 21:25:13,417 - mmdet - INFO - Epoch(val) [17][625] bbox_mAP: 0.4648, bbox_mAP_50: 0.6816, bbox_mAP_75: 0.5137, bbox_mAP_s: 0.2926, bbox_mAP_m: 0.5088, bbox_mAP_l: 0.6013, bbox_mAP_copypaste: 0.4648 0.6816 0.5137 0.2926 0.5088 0.6013, segm_mAP: 0.4154, segm_mAP_50: 0.6519, segm_mAP_75: 0.4475, segm_mAP_s: 0.2169, segm_mAP_m: 0.4520, segm_mAP_l: 0.6000, segm_mAP_copypaste: 0.4154 0.6519 0.4475 0.2169 0.4520 0.6000 2023-11-14 21:25:30,124 - mmdet - INFO - Epoch [18][50/7330] lr: 1.000e-04, eta: 9:59:52, time: 0.334, data_time: 0.078, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0328, loss_cls: 0.1555, acc: 94.1963, loss_bbox: 0.2028, loss_mask: 0.2068, loss: 0.6203 2023-11-14 21:25:43,299 - mmdet - INFO - Epoch [18][100/7330] lr: 1.000e-04, eta: 9:59:39, time: 0.264, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0311, loss_cls: 0.1606, acc: 94.1082, loss_bbox: 0.2092, loss_mask: 0.2137, loss: 0.6372 2023-11-14 21:25:56,315 - mmdet - INFO - Epoch [18][150/7330] lr: 1.000e-04, eta: 9:59:27, time: 0.260, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0332, loss_cls: 0.1672, acc: 93.8914, loss_bbox: 0.2141, loss_mask: 0.2172, loss: 0.6545 2023-11-14 21:26:09,351 - mmdet - INFO - Epoch [18][200/7330] lr: 1.000e-04, eta: 9:59:14, time: 0.261, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0298, loss_cls: 0.1599, acc: 94.2021, loss_bbox: 0.2044, loss_mask: 0.2091, loss: 0.6254 2023-11-14 21:26:22,587 - mmdet - INFO - Epoch [18][250/7330] lr: 1.000e-04, eta: 9:59:01, time: 0.265, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0343, loss_cls: 0.1626, acc: 93.9575, loss_bbox: 0.2109, loss_mask: 0.2152, loss: 0.6494 2023-11-14 21:26:35,730 - mmdet - INFO - Epoch [18][300/7330] lr: 1.000e-04, eta: 9:58:49, time: 0.263, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0320, loss_cls: 0.1619, acc: 94.1084, loss_bbox: 0.2075, loss_mask: 0.2093, loss: 0.6346 2023-11-14 21:26:48,712 - mmdet - INFO - Epoch [18][350/7330] lr: 1.000e-04, eta: 9:58:36, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0330, loss_cls: 0.1629, acc: 94.1028, loss_bbox: 0.2076, loss_mask: 0.2151, loss: 0.6409 2023-11-14 21:27:01,513 - mmdet - INFO - Epoch [18][400/7330] lr: 1.000e-04, eta: 9:58:23, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0320, loss_cls: 0.1614, acc: 94.0916, loss_bbox: 0.2078, loss_mask: 0.2114, loss: 0.6344 2023-11-14 21:27:14,447 - mmdet - INFO - Epoch [18][450/7330] lr: 1.000e-04, eta: 9:58:10, time: 0.259, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0308, loss_cls: 0.1609, acc: 94.2339, loss_bbox: 0.1979, loss_mask: 0.2107, loss: 0.6242 2023-11-14 21:27:27,881 - mmdet - INFO - Epoch [18][500/7330] lr: 1.000e-04, eta: 9:57:57, time: 0.269, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0321, loss_cls: 0.1660, acc: 93.9685, loss_bbox: 0.2088, loss_mask: 0.2092, loss: 0.6399 2023-11-14 21:27:40,983 - mmdet - INFO - Epoch [18][550/7330] lr: 1.000e-04, eta: 9:57:45, time: 0.262, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0324, loss_cls: 0.1685, acc: 93.8555, loss_bbox: 0.2122, loss_mask: 0.2111, loss: 0.6469 2023-11-14 21:27:53,914 - mmdet - INFO - Epoch [18][600/7330] lr: 1.000e-04, eta: 9:57:32, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0328, loss_cls: 0.1587, acc: 94.2102, loss_bbox: 0.2003, loss_mask: 0.2135, loss: 0.6284 2023-11-14 21:28:06,784 - mmdet - INFO - Epoch [18][650/7330] lr: 1.000e-04, eta: 9:57:19, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0328, loss_cls: 0.1627, acc: 94.0325, loss_bbox: 0.2067, loss_mask: 0.2130, loss: 0.6378 2023-11-14 21:28:19,522 - mmdet - INFO - Epoch [18][700/7330] lr: 1.000e-04, eta: 9:57:06, time: 0.255, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1630, acc: 94.0977, loss_bbox: 0.2120, loss_mask: 0.2183, loss: 0.6500 2023-11-14 21:28:32,667 - mmdet - INFO - Epoch [18][750/7330] lr: 1.000e-04, eta: 9:56:53, time: 0.263, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0322, loss_cls: 0.1645, acc: 94.0579, loss_bbox: 0.2095, loss_mask: 0.2150, loss: 0.6452 2023-11-14 21:28:45,763 - mmdet - INFO - Epoch [18][800/7330] lr: 1.000e-04, eta: 9:56:40, time: 0.262, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0340, loss_cls: 0.1679, acc: 93.8518, loss_bbox: 0.2118, loss_mask: 0.2127, loss: 0.6491 2023-11-14 21:28:59,443 - mmdet - INFO - Epoch [18][850/7330] lr: 1.000e-04, eta: 9:56:28, time: 0.274, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0340, loss_cls: 0.1692, acc: 93.8694, loss_bbox: 0.2122, loss_mask: 0.2111, loss: 0.6508 2023-11-14 21:29:12,170 - mmdet - INFO - Epoch [18][900/7330] lr: 1.000e-04, eta: 9:56:15, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0334, loss_cls: 0.1705, acc: 93.8584, loss_bbox: 0.2123, loss_mask: 0.2141, loss: 0.6546 2023-11-14 21:29:24,843 - mmdet - INFO - Epoch [18][950/7330] lr: 1.000e-04, eta: 9:56:02, time: 0.254, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0313, loss_cls: 0.1566, acc: 94.3169, loss_bbox: 0.1999, loss_mask: 0.2116, loss: 0.6215 2023-11-14 21:29:37,433 - mmdet - INFO - Epoch [18][1000/7330] lr: 1.000e-04, eta: 9:55:48, time: 0.252, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0298, loss_cls: 0.1562, acc: 94.2439, loss_bbox: 0.2001, loss_mask: 0.2095, loss: 0.6182 2023-11-14 21:29:50,101 - mmdet - INFO - Epoch [18][1050/7330] lr: 1.000e-04, eta: 9:55:35, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0305, loss_cls: 0.1497, acc: 94.5393, loss_bbox: 0.1952, loss_mask: 0.2097, loss: 0.6062 2023-11-14 21:30:03,433 - mmdet - INFO - Epoch [18][1100/7330] lr: 1.000e-04, eta: 9:55:23, time: 0.267, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0330, loss_cls: 0.1661, acc: 93.9529, loss_bbox: 0.2128, loss_mask: 0.2163, loss: 0.6537 2023-11-14 21:30:16,481 - mmdet - INFO - Epoch [18][1150/7330] lr: 1.000e-04, eta: 9:55:10, time: 0.261, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0322, loss_cls: 0.1597, acc: 94.1746, loss_bbox: 0.2020, loss_mask: 0.2112, loss: 0.6300 2023-11-14 21:30:29,246 - mmdet - INFO - Epoch [18][1200/7330] lr: 1.000e-04, eta: 9:54:57, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0316, loss_cls: 0.1593, acc: 94.2686, loss_bbox: 0.2049, loss_mask: 0.2118, loss: 0.6312 2023-11-14 21:30:42,308 - mmdet - INFO - Epoch [18][1250/7330] lr: 1.000e-04, eta: 9:54:44, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0312, loss_cls: 0.1503, acc: 94.5361, loss_bbox: 0.1922, loss_mask: 0.2055, loss: 0.5997 2023-11-14 21:30:55,477 - mmdet - INFO - Epoch [18][1300/7330] lr: 1.000e-04, eta: 9:54:31, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0340, loss_cls: 0.1664, acc: 93.8943, loss_bbox: 0.2107, loss_mask: 0.2133, loss: 0.6497 2023-11-14 21:31:08,218 - mmdet - INFO - Epoch [18][1350/7330] lr: 1.000e-04, eta: 9:54:18, time: 0.255, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0309, loss_cls: 0.1631, acc: 94.0334, loss_bbox: 0.2092, loss_mask: 0.2118, loss: 0.6380 2023-11-14 21:31:21,238 - mmdet - INFO - Epoch [18][1400/7330] lr: 1.000e-04, eta: 9:54:05, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0335, loss_cls: 0.1614, acc: 94.0825, loss_bbox: 0.2078, loss_mask: 0.2096, loss: 0.6354 2023-11-14 21:31:34,111 - mmdet - INFO - Epoch [18][1450/7330] lr: 1.000e-04, eta: 9:53:52, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0319, loss_cls: 0.1573, acc: 94.2563, loss_bbox: 0.2047, loss_mask: 0.2120, loss: 0.6268 2023-11-14 21:31:47,108 - mmdet - INFO - Epoch [18][1500/7330] lr: 1.000e-04, eta: 9:53:40, time: 0.260, data_time: 0.020, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0352, loss_cls: 0.1693, acc: 93.9170, loss_bbox: 0.2108, loss_mask: 0.2167, loss: 0.6571 2023-11-14 21:31:59,995 - mmdet - INFO - Epoch [18][1550/7330] lr: 1.000e-04, eta: 9:53:27, time: 0.258, data_time: 0.018, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0323, loss_cls: 0.1612, acc: 94.1130, loss_bbox: 0.2090, loss_mask: 0.2101, loss: 0.6353 2023-11-14 21:32:12,903 - mmdet - INFO - Epoch [18][1600/7330] lr: 1.000e-04, eta: 9:53:14, time: 0.258, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0320, loss_cls: 0.1555, acc: 94.3445, loss_bbox: 0.1999, loss_mask: 0.2113, loss: 0.6212 2023-11-14 21:32:26,014 - mmdet - INFO - Epoch [18][1650/7330] lr: 1.000e-04, eta: 9:53:01, time: 0.262, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0327, loss_cls: 0.1568, acc: 94.3481, loss_bbox: 0.2032, loss_mask: 0.2126, loss: 0.6276 2023-11-14 21:32:39,148 - mmdet - INFO - Epoch [18][1700/7330] lr: 1.000e-04, eta: 9:52:48, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0341, loss_cls: 0.1637, acc: 94.0635, loss_bbox: 0.2071, loss_mask: 0.2077, loss: 0.6353 2023-11-14 21:32:51,863 - mmdet - INFO - Epoch [18][1750/7330] lr: 1.000e-04, eta: 9:52:35, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0323, loss_cls: 0.1600, acc: 94.1868, loss_bbox: 0.2033, loss_mask: 0.2112, loss: 0.6298 2023-11-14 21:33:04,585 - mmdet - INFO - Epoch [18][1800/7330] lr: 1.000e-04, eta: 9:52:22, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0336, loss_cls: 0.1696, acc: 93.8081, loss_bbox: 0.2193, loss_mask: 0.2164, loss: 0.6643 2023-11-14 21:33:17,426 - mmdet - INFO - Epoch [18][1850/7330] lr: 1.000e-04, eta: 9:52:09, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0315, loss_cls: 0.1618, acc: 94.1577, loss_bbox: 0.2015, loss_mask: 0.2107, loss: 0.6273 2023-11-14 21:33:30,360 - mmdet - INFO - Epoch [18][1900/7330] lr: 1.000e-04, eta: 9:51:56, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0316, loss_cls: 0.1576, acc: 94.3123, loss_bbox: 0.1997, loss_mask: 0.2140, loss: 0.6246 2023-11-14 21:33:43,006 - mmdet - INFO - Epoch [18][1950/7330] lr: 1.000e-04, eta: 9:51:43, time: 0.253, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0316, loss_cls: 0.1564, acc: 94.3738, loss_bbox: 0.2014, loss_mask: 0.2113, loss: 0.6234 2023-11-14 21:33:56,219 - mmdet - INFO - Epoch [18][2000/7330] lr: 1.000e-04, eta: 9:51:30, time: 0.264, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0342, loss_cls: 0.1648, acc: 93.9873, loss_bbox: 0.2118, loss_mask: 0.2134, loss: 0.6473 2023-11-14 21:34:09,060 - mmdet - INFO - Epoch [18][2050/7330] lr: 1.000e-04, eta: 9:51:17, time: 0.257, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0323, loss_cls: 0.1655, acc: 93.8547, loss_bbox: 0.2052, loss_mask: 0.2100, loss: 0.6359 2023-11-14 21:34:22,071 - mmdet - INFO - Epoch [18][2100/7330] lr: 1.000e-04, eta: 9:51:04, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0304, loss_cls: 0.1608, acc: 94.1018, loss_bbox: 0.2056, loss_mask: 0.2153, loss: 0.6354 2023-11-14 21:34:34,982 - mmdet - INFO - Epoch [18][2150/7330] lr: 1.000e-04, eta: 9:50:51, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0315, loss_cls: 0.1655, acc: 93.9724, loss_bbox: 0.2107, loss_mask: 0.2151, loss: 0.6466 2023-11-14 21:34:47,708 - mmdet - INFO - Epoch [18][2200/7330] lr: 1.000e-04, eta: 9:50:38, time: 0.255, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0321, loss_cls: 0.1586, acc: 94.1748, loss_bbox: 0.2039, loss_mask: 0.2093, loss: 0.6264 2023-11-14 21:35:00,699 - mmdet - INFO - Epoch [18][2250/7330] lr: 1.000e-04, eta: 9:50:25, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0334, loss_cls: 0.1597, acc: 94.1995, loss_bbox: 0.2026, loss_mask: 0.2059, loss: 0.6243 2023-11-14 21:35:13,631 - mmdet - INFO - Epoch [18][2300/7330] lr: 1.000e-04, eta: 9:50:12, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0336, loss_cls: 0.1661, acc: 93.9675, loss_bbox: 0.2107, loss_mask: 0.2133, loss: 0.6477 2023-11-14 21:35:26,323 - mmdet - INFO - Epoch [18][2350/7330] lr: 1.000e-04, eta: 9:49:59, time: 0.254, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0323, loss_cls: 0.1643, acc: 94.0942, loss_bbox: 0.2052, loss_mask: 0.2111, loss: 0.6374 2023-11-14 21:35:39,326 - mmdet - INFO - Epoch [18][2400/7330] lr: 1.000e-04, eta: 9:49:46, time: 0.260, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0338, loss_cls: 0.1731, acc: 93.7407, loss_bbox: 0.2138, loss_mask: 0.2113, loss: 0.6538 2023-11-14 21:35:52,161 - mmdet - INFO - Epoch [18][2450/7330] lr: 1.000e-04, eta: 9:49:33, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0327, loss_cls: 0.1569, acc: 94.2993, loss_bbox: 0.2028, loss_mask: 0.2115, loss: 0.6264 2023-11-14 21:36:04,852 - mmdet - INFO - Epoch [18][2500/7330] lr: 1.000e-04, eta: 9:49:20, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0332, loss_cls: 0.1623, acc: 94.1089, loss_bbox: 0.2056, loss_mask: 0.2105, loss: 0.6361 2023-11-14 21:36:18,045 - mmdet - INFO - Epoch [18][2550/7330] lr: 1.000e-04, eta: 9:49:07, time: 0.264, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0346, loss_cls: 0.1721, acc: 93.7781, loss_bbox: 0.2189, loss_mask: 0.2229, loss: 0.6713 2023-11-14 21:36:30,898 - mmdet - INFO - Epoch [18][2600/7330] lr: 1.000e-04, eta: 9:48:54, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0321, loss_cls: 0.1675, acc: 93.8926, loss_bbox: 0.2152, loss_mask: 0.2161, loss: 0.6525 2023-11-14 21:36:43,850 - mmdet - INFO - Epoch [18][2650/7330] lr: 1.000e-04, eta: 9:48:42, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0260, loss_rpn_bbox: 0.0341, loss_cls: 0.1704, acc: 93.7183, loss_bbox: 0.2182, loss_mask: 0.2183, loss: 0.6671 2023-11-14 21:36:56,818 - mmdet - INFO - Epoch [18][2700/7330] lr: 1.000e-04, eta: 9:48:29, time: 0.259, data_time: 0.017, memory: 4697, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0318, loss_cls: 0.1673, acc: 93.9272, loss_bbox: 0.2063, loss_mask: 0.2105, loss: 0.6372 2023-11-14 21:37:10,104 - mmdet - INFO - Epoch [18][2750/7330] lr: 1.000e-04, eta: 9:48:16, time: 0.266, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0324, loss_cls: 0.1632, acc: 94.0471, loss_bbox: 0.2072, loss_mask: 0.2139, loss: 0.6390 2023-11-14 21:37:23,095 - mmdet - INFO - Epoch [18][2800/7330] lr: 1.000e-04, eta: 9:48:03, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0327, loss_cls: 0.1641, acc: 94.0171, loss_bbox: 0.2054, loss_mask: 0.2115, loss: 0.6363 2023-11-14 21:37:35,588 - mmdet - INFO - Epoch [18][2850/7330] lr: 1.000e-04, eta: 9:47:50, time: 0.250, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0321, loss_cls: 0.1595, acc: 94.1650, loss_bbox: 0.2026, loss_mask: 0.2115, loss: 0.6305 2023-11-14 21:37:48,293 - mmdet - INFO - Epoch [18][2900/7330] lr: 1.000e-04, eta: 9:47:37, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0321, loss_cls: 0.1630, acc: 94.0249, loss_bbox: 0.2078, loss_mask: 0.2134, loss: 0.6400 2023-11-14 21:38:01,290 - mmdet - INFO - Epoch [18][2950/7330] lr: 1.000e-04, eta: 9:47:24, time: 0.260, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0317, loss_cls: 0.1664, acc: 93.9846, loss_bbox: 0.2126, loss_mask: 0.2109, loss: 0.6425 2023-11-14 21:38:14,164 - mmdet - INFO - Epoch [18][3000/7330] lr: 1.000e-04, eta: 9:47:11, time: 0.258, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0318, loss_cls: 0.1631, acc: 94.0872, loss_bbox: 0.2031, loss_mask: 0.2091, loss: 0.6285 2023-11-14 21:38:27,139 - mmdet - INFO - Epoch [18][3050/7330] lr: 1.000e-04, eta: 9:46:58, time: 0.259, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0344, loss_cls: 0.1711, acc: 93.7468, loss_bbox: 0.2151, loss_mask: 0.2119, loss: 0.6576 2023-11-14 21:38:39,982 - mmdet - INFO - Epoch [18][3100/7330] lr: 1.000e-04, eta: 9:46:45, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0343, loss_cls: 0.1677, acc: 93.8774, loss_bbox: 0.2128, loss_mask: 0.2142, loss: 0.6519 2023-11-14 21:38:52,873 - mmdet - INFO - Epoch [18][3150/7330] lr: 1.000e-04, eta: 9:46:32, time: 0.258, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0310, loss_cls: 0.1610, acc: 94.1738, loss_bbox: 0.2037, loss_mask: 0.2151, loss: 0.6316 2023-11-14 21:39:05,942 - mmdet - INFO - Epoch [18][3200/7330] lr: 1.000e-04, eta: 9:46:19, time: 0.261, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0306, loss_cls: 0.1653, acc: 94.0742, loss_bbox: 0.2061, loss_mask: 0.2093, loss: 0.6339 2023-11-14 21:39:18,838 - mmdet - INFO - Epoch [18][3250/7330] lr: 1.000e-04, eta: 9:46:06, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0314, loss_cls: 0.1626, acc: 94.1355, loss_bbox: 0.2017, loss_mask: 0.2093, loss: 0.6272 2023-11-14 21:39:31,810 - mmdet - INFO - Epoch [18][3300/7330] lr: 1.000e-04, eta: 9:45:53, time: 0.259, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0322, loss_cls: 0.1664, acc: 93.8494, loss_bbox: 0.2120, loss_mask: 0.2129, loss: 0.6464 2023-11-14 21:39:45,029 - mmdet - INFO - Epoch [18][3350/7330] lr: 1.000e-04, eta: 9:45:41, time: 0.264, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0329, loss_cls: 0.1678, acc: 93.8711, loss_bbox: 0.2123, loss_mask: 0.2175, loss: 0.6553 2023-11-14 21:39:57,658 - mmdet - INFO - Epoch [18][3400/7330] lr: 1.000e-04, eta: 9:45:28, time: 0.253, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0325, loss_cls: 0.1605, acc: 94.1313, loss_bbox: 0.2079, loss_mask: 0.2175, loss: 0.6419 2023-11-14 21:40:10,461 - mmdet - INFO - Epoch [18][3450/7330] lr: 1.000e-04, eta: 9:45:14, time: 0.256, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0309, loss_cls: 0.1574, acc: 94.2856, loss_bbox: 0.2027, loss_mask: 0.2122, loss: 0.6255 2023-11-14 21:40:23,480 - mmdet - INFO - Epoch [18][3500/7330] lr: 1.000e-04, eta: 9:45:02, time: 0.260, data_time: 0.016, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0301, loss_cls: 0.1561, acc: 94.4678, loss_bbox: 0.1922, loss_mask: 0.2106, loss: 0.6115 2023-11-14 21:40:36,264 - mmdet - INFO - Epoch [18][3550/7330] lr: 1.000e-04, eta: 9:44:49, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0338, loss_cls: 0.1689, acc: 93.7861, loss_bbox: 0.2153, loss_mask: 0.2193, loss: 0.6635 2023-11-14 21:40:49,129 - mmdet - INFO - Epoch [18][3600/7330] lr: 1.000e-04, eta: 9:44:36, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0329, loss_cls: 0.1631, acc: 94.0579, loss_bbox: 0.2052, loss_mask: 0.2106, loss: 0.6348 2023-11-14 21:41:01,873 - mmdet - INFO - Epoch [18][3650/7330] lr: 1.000e-04, eta: 9:44:22, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0315, loss_cls: 0.1582, acc: 94.1643, loss_bbox: 0.2052, loss_mask: 0.2138, loss: 0.6310 2023-11-14 21:41:14,723 - mmdet - INFO - Epoch [18][3700/7330] lr: 1.000e-04, eta: 9:44:09, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0321, loss_cls: 0.1616, acc: 94.1204, loss_bbox: 0.2087, loss_mask: 0.2147, loss: 0.6415 2023-11-14 21:41:27,724 - mmdet - INFO - Epoch [18][3750/7330] lr: 1.000e-04, eta: 9:43:57, time: 0.260, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0319, loss_cls: 0.1559, acc: 94.4036, loss_bbox: 0.1986, loss_mask: 0.2120, loss: 0.6211 2023-11-14 21:41:40,560 - mmdet - INFO - Epoch [18][3800/7330] lr: 1.000e-04, eta: 9:43:44, time: 0.257, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0309, loss_cls: 0.1611, acc: 94.0901, loss_bbox: 0.1993, loss_mask: 0.2087, loss: 0.6210 2023-11-14 21:41:53,525 - mmdet - INFO - Epoch [18][3850/7330] lr: 1.000e-04, eta: 9:43:31, time: 0.259, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0308, loss_cls: 0.1629, acc: 94.1240, loss_bbox: 0.2070, loss_mask: 0.2151, loss: 0.6376 2023-11-14 21:42:06,508 - mmdet - INFO - Epoch [18][3900/7330] lr: 1.000e-04, eta: 9:43:18, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0330, loss_cls: 0.1565, acc: 94.2839, loss_bbox: 0.2016, loss_mask: 0.2124, loss: 0.6257 2023-11-14 21:42:19,251 - mmdet - INFO - Epoch [18][3950/7330] lr: 1.000e-04, eta: 9:43:05, time: 0.255, data_time: 0.012, memory: 4697, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0314, loss_cls: 0.1601, acc: 94.2598, loss_bbox: 0.1996, loss_mask: 0.2142, loss: 0.6302 2023-11-14 21:42:32,388 - mmdet - INFO - Epoch [18][4000/7330] lr: 1.000e-04, eta: 9:42:52, time: 0.263, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0343, loss_cls: 0.1699, acc: 93.8938, loss_bbox: 0.2122, loss_mask: 0.2156, loss: 0.6555 2023-11-14 21:42:45,175 - mmdet - INFO - Epoch [18][4050/7330] lr: 1.000e-04, eta: 9:42:39, time: 0.256, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0322, loss_cls: 0.1606, acc: 94.1680, loss_bbox: 0.2074, loss_mask: 0.2146, loss: 0.6383 2023-11-14 21:42:57,640 - mmdet - INFO - Epoch [18][4100/7330] lr: 1.000e-04, eta: 9:42:26, time: 0.249, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0284, loss_cls: 0.1605, acc: 94.2715, loss_bbox: 0.1972, loss_mask: 0.2104, loss: 0.6186 2023-11-14 21:43:10,637 - mmdet - INFO - Epoch [18][4150/7330] lr: 1.000e-04, eta: 9:42:13, time: 0.260, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0301, loss_cls: 0.1632, acc: 93.9988, loss_bbox: 0.2097, loss_mask: 0.2118, loss: 0.6374 2023-11-14 21:43:23,158 - mmdet - INFO - Epoch [18][4200/7330] lr: 1.000e-04, eta: 9:41:59, time: 0.250, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0305, loss_cls: 0.1583, acc: 94.2585, loss_bbox: 0.1964, loss_mask: 0.2106, loss: 0.6170 2023-11-14 21:43:36,010 - mmdet - INFO - Epoch [18][4250/7330] lr: 1.000e-04, eta: 9:41:46, time: 0.257, data_time: 0.013, memory: 4697, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0336, loss_cls: 0.1632, acc: 93.9844, loss_bbox: 0.2099, loss_mask: 0.2164, loss: 0.6466 2023-11-14 21:43:48,880 - mmdet - INFO - Epoch [18][4300/7330] lr: 1.000e-04, eta: 9:41:33, time: 0.257, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0321, loss_cls: 0.1610, acc: 94.1025, loss_bbox: 0.2052, loss_mask: 0.2154, loss: 0.6361 2023-11-14 21:44:01,637 - mmdet - INFO - Epoch [18][4350/7330] lr: 1.000e-04, eta: 9:41:20, time: 0.255, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0322, loss_cls: 0.1610, acc: 94.0652, loss_bbox: 0.2071, loss_mask: 0.2137, loss: 0.6363 2023-11-14 21:44:14,694 - mmdet - INFO - Epoch [18][4400/7330] lr: 1.000e-04, eta: 9:41:07, time: 0.261, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0331, loss_cls: 0.1616, acc: 94.0659, loss_bbox: 0.2037, loss_mask: 0.2106, loss: 0.6319 2023-11-14 21:44:27,379 - mmdet - INFO - Epoch [18][4450/7330] lr: 1.000e-04, eta: 9:40:54, time: 0.254, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0297, loss_cls: 0.1549, acc: 94.3267, loss_bbox: 0.1996, loss_mask: 0.2089, loss: 0.6141 2023-11-14 21:44:40,268 - mmdet - INFO - Epoch [18][4500/7330] lr: 1.000e-04, eta: 9:40:41, time: 0.258, data_time: 0.015, memory: 4697, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0322, loss_cls: 0.1663, acc: 93.9473, loss_bbox: 0.2055, loss_mask: 0.2115, loss: 0.6399 2023-11-14 21:44:52,765 - mmdet - INFO - Epoch [18][4550/7330] lr: 1.000e-04, eta: 9:40:28, time: 0.250, data_time: 0.014, memory: 4697, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0301, loss_cls: 0.1569, acc: 94.3586, loss_bbox: 0.1945, loss_mask: 0.2072, loss: 0.6110 2023-11-14 21:45:05,984 - mmdet - INFO - Epoch [18][4600/7330] lr: 1.000e-04, eta: 9:40:15, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0329, loss_cls: 0.1608, acc: 94.0623, loss_bbox: 0.2086, loss_mask: 0.2120, loss: 0.6362 2023-11-14 21:45:18,863 - mmdet - INFO - Epoch [18][4650/7330] lr: 1.000e-04, eta: 9:40:02, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0335, loss_cls: 0.1668, acc: 93.8477, loss_bbox: 0.2087, loss_mask: 0.2129, loss: 0.6452 2023-11-14 21:45:31,457 - mmdet - INFO - Epoch [18][4700/7330] lr: 1.000e-04, eta: 9:39:49, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0314, loss_cls: 0.1607, acc: 94.2000, loss_bbox: 0.2026, loss_mask: 0.2148, loss: 0.6337 2023-11-14 21:45:44,250 - mmdet - INFO - Epoch [18][4750/7330] lr: 1.000e-04, eta: 9:39:36, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0277, loss_rpn_bbox: 0.0333, loss_cls: 0.1699, acc: 93.8765, loss_bbox: 0.2123, loss_mask: 0.2198, loss: 0.6630 2023-11-14 21:45:57,187 - mmdet - INFO - Epoch [18][4800/7330] lr: 1.000e-04, eta: 9:39:23, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0271, loss_rpn_bbox: 0.0352, loss_cls: 0.1665, acc: 93.9722, loss_bbox: 0.2106, loss_mask: 0.2154, loss: 0.6548 2023-11-14 21:46:09,860 - mmdet - INFO - Epoch [18][4850/7330] lr: 1.000e-04, eta: 9:39:10, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0314, loss_cls: 0.1633, acc: 94.1941, loss_bbox: 0.2009, loss_mask: 0.2135, loss: 0.6315 2023-11-14 21:46:22,474 - mmdet - INFO - Epoch [18][4900/7330] lr: 1.000e-04, eta: 9:38:57, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0305, loss_cls: 0.1560, acc: 94.3745, loss_bbox: 0.2006, loss_mask: 0.2113, loss: 0.6193 2023-11-14 21:46:35,321 - mmdet - INFO - Epoch [18][4950/7330] lr: 1.000e-04, eta: 9:38:44, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0309, loss_cls: 0.1613, acc: 94.2344, loss_bbox: 0.1996, loss_mask: 0.2105, loss: 0.6264 2023-11-14 21:46:48,215 - mmdet - INFO - Epoch [18][5000/7330] lr: 1.000e-04, eta: 9:38:31, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0339, loss_cls: 0.1665, acc: 93.9626, loss_bbox: 0.2100, loss_mask: 0.2131, loss: 0.6470 2023-11-14 21:47:00,742 - mmdet - INFO - Epoch [18][5050/7330] lr: 1.000e-04, eta: 9:38:17, time: 0.251, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0321, loss_cls: 0.1670, acc: 93.9094, loss_bbox: 0.2156, loss_mask: 0.2173, loss: 0.6553 2023-11-14 21:47:13,828 - mmdet - INFO - Epoch [18][5100/7330] lr: 1.000e-04, eta: 9:38:05, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0330, loss_cls: 0.1692, acc: 93.8787, loss_bbox: 0.2081, loss_mask: 0.2142, loss: 0.6473 2023-11-14 21:47:26,932 - mmdet - INFO - Epoch [18][5150/7330] lr: 1.000e-04, eta: 9:37:52, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0323, loss_cls: 0.1591, acc: 94.2556, loss_bbox: 0.2025, loss_mask: 0.2123, loss: 0.6312 2023-11-14 21:47:39,785 - mmdet - INFO - Epoch [18][5200/7330] lr: 1.000e-04, eta: 9:37:39, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0339, loss_cls: 0.1659, acc: 93.9790, loss_bbox: 0.2104, loss_mask: 0.2123, loss: 0.6463 2023-11-14 21:47:52,453 - mmdet - INFO - Epoch [18][5250/7330] lr: 1.000e-04, eta: 9:37:26, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0320, loss_cls: 0.1610, acc: 94.1130, loss_bbox: 0.2036, loss_mask: 0.2150, loss: 0.6351 2023-11-14 21:48:05,560 - mmdet - INFO - Epoch [18][5300/7330] lr: 1.000e-04, eta: 9:37:13, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0326, loss_cls: 0.1634, acc: 94.1050, loss_bbox: 0.2077, loss_mask: 0.2120, loss: 0.6404 2023-11-14 21:48:18,379 - mmdet - INFO - Epoch [18][5350/7330] lr: 1.000e-04, eta: 9:37:00, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0325, loss_cls: 0.1663, acc: 93.9014, loss_bbox: 0.2111, loss_mask: 0.2167, loss: 0.6490 2023-11-14 21:48:31,029 - mmdet - INFO - Epoch [18][5400/7330] lr: 1.000e-04, eta: 9:36:47, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0313, loss_cls: 0.1584, acc: 94.2683, loss_bbox: 0.1965, loss_mask: 0.2083, loss: 0.6177 2023-11-14 21:48:43,850 - mmdet - INFO - Epoch [18][5450/7330] lr: 1.000e-04, eta: 9:36:34, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0318, loss_cls: 0.1604, acc: 94.2000, loss_bbox: 0.2036, loss_mask: 0.2107, loss: 0.6289 2023-11-14 21:48:56,687 - mmdet - INFO - Epoch [18][5500/7330] lr: 1.000e-04, eta: 9:36:21, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0302, loss_cls: 0.1551, acc: 94.3240, loss_bbox: 0.1966, loss_mask: 0.2089, loss: 0.6138 2023-11-14 21:49:09,737 - mmdet - INFO - Epoch [18][5550/7330] lr: 1.000e-04, eta: 9:36:08, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0338, loss_cls: 0.1737, acc: 93.7336, loss_bbox: 0.2180, loss_mask: 0.2189, loss: 0.6697 2023-11-14 21:49:22,401 - mmdet - INFO - Epoch [18][5600/7330] lr: 1.000e-04, eta: 9:35:55, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0306, loss_cls: 0.1651, acc: 93.9170, loss_bbox: 0.2094, loss_mask: 0.2134, loss: 0.6419 2023-11-14 21:49:35,502 - mmdet - INFO - Epoch [18][5650/7330] lr: 1.000e-04, eta: 9:35:42, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0336, loss_cls: 0.1664, acc: 93.8733, loss_bbox: 0.2069, loss_mask: 0.2153, loss: 0.6474 2023-11-14 21:49:48,329 - mmdet - INFO - Epoch [18][5700/7330] lr: 1.000e-04, eta: 9:35:29, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0336, loss_cls: 0.1663, acc: 93.9165, loss_bbox: 0.2097, loss_mask: 0.2210, loss: 0.6551 2023-11-14 21:50:00,887 - mmdet - INFO - Epoch [18][5750/7330] lr: 1.000e-04, eta: 9:35:15, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0303, loss_cls: 0.1543, acc: 94.3323, loss_bbox: 0.1930, loss_mask: 0.2047, loss: 0.6063 2023-11-14 21:50:13,549 - mmdet - INFO - Epoch [18][5800/7330] lr: 1.000e-04, eta: 9:35:02, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0324, loss_cls: 0.1571, acc: 94.1841, loss_bbox: 0.2035, loss_mask: 0.2134, loss: 0.6307 2023-11-14 21:50:26,123 - mmdet - INFO - Epoch [18][5850/7330] lr: 1.000e-04, eta: 9:34:49, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0312, loss_cls: 0.1628, acc: 94.1377, loss_bbox: 0.2066, loss_mask: 0.2118, loss: 0.6370 2023-11-14 21:50:38,587 - mmdet - INFO - Epoch [18][5900/7330] lr: 1.000e-04, eta: 9:34:36, time: 0.249, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0335, loss_cls: 0.1609, acc: 94.2224, loss_bbox: 0.2035, loss_mask: 0.2180, loss: 0.6388 2023-11-14 21:50:51,275 - mmdet - INFO - Epoch [18][5950/7330] lr: 1.000e-04, eta: 9:34:22, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0333, loss_cls: 0.1718, acc: 93.8210, loss_bbox: 0.2114, loss_mask: 0.2170, loss: 0.6578 2023-11-14 21:51:03,994 - mmdet - INFO - Epoch [18][6000/7330] lr: 1.000e-04, eta: 9:34:09, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0333, loss_cls: 0.1636, acc: 93.9575, loss_bbox: 0.2139, loss_mask: 0.2193, loss: 0.6537 2023-11-14 21:51:16,748 - mmdet - INFO - Epoch [18][6050/7330] lr: 1.000e-04, eta: 9:33:56, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0312, loss_cls: 0.1627, acc: 94.1492, loss_bbox: 0.1993, loss_mask: 0.2107, loss: 0.6277 2023-11-14 21:51:29,238 - mmdet - INFO - Epoch [18][6100/7330] lr: 1.000e-04, eta: 9:33:43, time: 0.250, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0314, loss_cls: 0.1643, acc: 94.0598, loss_bbox: 0.2059, loss_mask: 0.2159, loss: 0.6396 2023-11-14 21:51:42,093 - mmdet - INFO - Epoch [18][6150/7330] lr: 1.000e-04, eta: 9:33:30, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0325, loss_cls: 0.1641, acc: 94.0588, loss_bbox: 0.2052, loss_mask: 0.2124, loss: 0.6371 2023-11-14 21:51:54,756 - mmdet - INFO - Epoch [18][6200/7330] lr: 1.000e-04, eta: 9:33:17, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0312, loss_cls: 0.1654, acc: 94.0203, loss_bbox: 0.2045, loss_mask: 0.2123, loss: 0.6389 2023-11-14 21:52:07,824 - mmdet - INFO - Epoch [18][6250/7330] lr: 1.000e-04, eta: 9:33:04, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0338, loss_cls: 0.1637, acc: 94.0264, loss_bbox: 0.2091, loss_mask: 0.2159, loss: 0.6477 2023-11-14 21:52:20,980 - mmdet - INFO - Epoch [18][6300/7330] lr: 1.000e-04, eta: 9:32:51, time: 0.263, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0272, loss_rpn_bbox: 0.0353, loss_cls: 0.1788, acc: 93.5354, loss_bbox: 0.2220, loss_mask: 0.2185, loss: 0.6819 2023-11-14 21:52:35,241 - mmdet - INFO - Epoch [18][6350/7330] lr: 1.000e-04, eta: 9:32:40, time: 0.285, data_time: 0.045, memory: 4734, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0347, loss_cls: 0.1684, acc: 93.8037, loss_bbox: 0.2162, loss_mask: 0.2213, loss: 0.6667 2023-11-14 21:52:48,602 - mmdet - INFO - Epoch [18][6400/7330] lr: 1.000e-04, eta: 9:32:27, time: 0.267, data_time: 0.022, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0337, loss_cls: 0.1687, acc: 93.9438, loss_bbox: 0.2182, loss_mask: 0.2155, loss: 0.6607 2023-11-14 21:53:01,726 - mmdet - INFO - Epoch [18][6450/7330] lr: 1.000e-04, eta: 9:32:14, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0342, loss_cls: 0.1689, acc: 93.8982, loss_bbox: 0.2121, loss_mask: 0.2148, loss: 0.6547 2023-11-14 21:53:14,755 - mmdet - INFO - Epoch [18][6500/7330] lr: 1.000e-04, eta: 9:32:02, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0315, loss_cls: 0.1581, acc: 94.3518, loss_bbox: 0.2040, loss_mask: 0.2145, loss: 0.6301 2023-11-14 21:53:27,543 - mmdet - INFO - Epoch [18][6550/7330] lr: 1.000e-04, eta: 9:31:49, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0332, loss_cls: 0.1670, acc: 93.9243, loss_bbox: 0.2133, loss_mask: 0.2147, loss: 0.6524 2023-11-14 21:53:40,477 - mmdet - INFO - Epoch [18][6600/7330] lr: 1.000e-04, eta: 9:31:36, time: 0.259, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0338, loss_cls: 0.1595, acc: 94.0876, loss_bbox: 0.2010, loss_mask: 0.2125, loss: 0.6304 2023-11-14 21:53:53,430 - mmdet - INFO - Epoch [18][6650/7330] lr: 1.000e-04, eta: 9:31:23, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0339, loss_cls: 0.1682, acc: 93.9448, loss_bbox: 0.2095, loss_mask: 0.2181, loss: 0.6556 2023-11-14 21:54:06,369 - mmdet - INFO - Epoch [18][6700/7330] lr: 1.000e-04, eta: 9:31:10, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0318, loss_cls: 0.1612, acc: 94.0918, loss_bbox: 0.2077, loss_mask: 0.2093, loss: 0.6345 2023-11-14 21:54:19,115 - mmdet - INFO - Epoch [18][6750/7330] lr: 1.000e-04, eta: 9:30:57, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0325, loss_cls: 0.1630, acc: 94.0645, loss_bbox: 0.2068, loss_mask: 0.2148, loss: 0.6411 2023-11-14 21:54:31,950 - mmdet - INFO - Epoch [18][6800/7330] lr: 1.000e-04, eta: 9:30:44, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0326, loss_cls: 0.1640, acc: 94.0430, loss_bbox: 0.2073, loss_mask: 0.2156, loss: 0.6418 2023-11-14 21:54:44,789 - mmdet - INFO - Epoch [18][6850/7330] lr: 1.000e-04, eta: 9:30:31, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0343, loss_cls: 0.1708, acc: 93.6504, loss_bbox: 0.2173, loss_mask: 0.2147, loss: 0.6619 2023-11-14 21:54:57,721 - mmdet - INFO - Epoch [18][6900/7330] lr: 1.000e-04, eta: 9:30:18, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0313, loss_cls: 0.1613, acc: 94.2217, loss_bbox: 0.2044, loss_mask: 0.2157, loss: 0.6358 2023-11-14 21:55:10,510 - mmdet - INFO - Epoch [18][6950/7330] lr: 1.000e-04, eta: 9:30:05, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0305, loss_cls: 0.1578, acc: 94.2397, loss_bbox: 0.1916, loss_mask: 0.2070, loss: 0.6082 2023-11-14 21:55:23,259 - mmdet - INFO - Epoch [18][7000/7330] lr: 1.000e-04, eta: 9:29:52, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0322, loss_cls: 0.1622, acc: 94.1809, loss_bbox: 0.2025, loss_mask: 0.2097, loss: 0.6310 2023-11-14 21:55:36,005 - mmdet - INFO - Epoch [18][7050/7330] lr: 1.000e-04, eta: 9:29:38, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0327, loss_cls: 0.1711, acc: 93.7742, loss_bbox: 0.2120, loss_mask: 0.2219, loss: 0.6637 2023-11-14 21:55:48,788 - mmdet - INFO - Epoch [18][7100/7330] lr: 1.000e-04, eta: 9:29:25, time: 0.256, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0299, loss_cls: 0.1649, acc: 93.9749, loss_bbox: 0.2066, loss_mask: 0.2116, loss: 0.6365 2023-11-14 21:56:01,782 - mmdet - INFO - Epoch [18][7150/7330] lr: 1.000e-04, eta: 9:29:13, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0342, loss_cls: 0.1701, acc: 93.8982, loss_bbox: 0.2151, loss_mask: 0.2161, loss: 0.6599 2023-11-14 21:56:14,368 - mmdet - INFO - Epoch [18][7200/7330] lr: 1.000e-04, eta: 9:28:59, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0327, loss_cls: 0.1648, acc: 94.1013, loss_bbox: 0.2039, loss_mask: 0.2138, loss: 0.6398 2023-11-14 21:56:27,282 - mmdet - INFO - Epoch [18][7250/7330] lr: 1.000e-04, eta: 9:28:46, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0330, loss_cls: 0.1709, acc: 93.7061, loss_bbox: 0.2154, loss_mask: 0.2155, loss: 0.6600 2023-11-14 21:56:40,203 - mmdet - INFO - Epoch [18][7300/7330] lr: 1.000e-04, eta: 9:28:33, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0329, loss_cls: 0.1585, acc: 94.2280, loss_bbox: 0.2011, loss_mask: 0.2118, loss: 0.6273 2023-11-14 21:56:48,295 - mmdet - INFO - Saving checkpoint at 18 epochs 2023-11-14 21:57:30,429 - mmdet - INFO - Evaluating bbox... 2023-11-14 21:58:01,809 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.468 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.687 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.517 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.320 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.509 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.605 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.594 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.594 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.594 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.436 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.637 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.734 2023-11-14 21:58:01,811 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.577 | bicycle | 0.363 | car | 0.491 | | motorcycle | 0.484 | airplane | 0.714 | bus | 0.689 | | train | 0.673 | truck | 0.396 | boat | 0.331 | | traffic light | 0.306 | fire hydrant | 0.718 | stop sign | 0.686 | | parking meter | 0.542 | bench | 0.285 | bird | 0.404 | | cat | 0.718 | dog | 0.698 | horse | 0.628 | | sheep | 0.583 | cow | 0.611 | elephant | 0.662 | | bear | 0.759 | zebra | 0.698 | giraffe | 0.692 | | backpack | 0.194 | umbrella | 0.458 | handbag | 0.223 | | tie | 0.372 | suitcase | 0.461 | frisbee | 0.687 | | skis | 0.296 | snowboard | 0.420 | sports ball | 0.457 | | kite | 0.448 | baseball bat | 0.407 | baseball glove | 0.426 | | skateboard | 0.593 | surfboard | 0.455 | tennis racket | 0.546 | | bottle | 0.441 | wine glass | 0.415 | cup | 0.488 | | fork | 0.434 | knife | 0.265 | spoon | 0.258 | | bowl | 0.458 | banana | 0.273 | apple | 0.228 | | sandwich | 0.412 | orange | 0.351 | broccoli | 0.236 | | carrot | 0.251 | hot dog | 0.416 | pizza | 0.528 | | donut | 0.528 | cake | 0.409 | chair | 0.363 | | couch | 0.448 | potted plant | 0.330 | bed | 0.476 | | dining table | 0.317 | toilet | 0.625 | tv | 0.617 | | laptop | 0.655 | mouse | 0.651 | remote | 0.412 | | keyboard | 0.534 | cell phone | 0.410 | microwave | 0.639 | | oven | 0.374 | toaster | 0.478 | sink | 0.447 | | refrigerator | 0.624 | book | 0.185 | clock | 0.481 | | vase | 0.434 | scissors | 0.415 | teddy bear | 0.511 | | hair drier | 0.113 | toothbrush | 0.329 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 21:58:01,811 - mmdet - INFO - Evaluating segm... 2023-11-14 21:58:36,526 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.421 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.657 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.455 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.240 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.454 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.601 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 ] = 0.365 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.693 2023-11-14 21:58:36,529 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.500 | bicycle | 0.220 | car | 0.449 | | motorcycle | 0.387 | airplane | 0.548 | bus | 0.688 | | train | 0.671 | truck | 0.389 | boat | 0.297 | | traffic light | 0.291 | fire hydrant | 0.679 | stop sign | 0.671 | | parking meter | 0.539 | bench | 0.213 | bird | 0.337 | | cat | 0.707 | dog | 0.650 | horse | 0.470 | | sheep | 0.521 | cow | 0.526 | elephant | 0.611 | | bear | 0.758 | zebra | 0.602 | giraffe | 0.541 | | backpack | 0.200 | umbrella | 0.519 | handbag | 0.212 | | tie | 0.351 | suitcase | 0.475 | frisbee | 0.643 | | skis | 0.055 | snowboard | 0.253 | sports ball | 0.444 | | kite | 0.327 | baseball bat | 0.315 | baseball glove | 0.452 | | skateboard | 0.376 | surfboard | 0.372 | tennis racket | 0.585 | | bottle | 0.421 | wine glass | 0.366 | cup | 0.484 | | fork | 0.233 | knife | 0.174 | spoon | 0.175 | | bowl | 0.431 | banana | 0.227 | apple | 0.231 | | sandwich | 0.444 | orange | 0.350 | broccoli | 0.224 | | carrot | 0.214 | hot dog | 0.347 | pizza | 0.505 | | donut | 0.528 | cake | 0.423 | chair | 0.259 | | couch | 0.388 | potted plant | 0.282 | bed | 0.384 | | dining table | 0.184 | toilet | 0.622 | tv | 0.658 | | laptop | 0.649 | mouse | 0.635 | remote | 0.361 | | keyboard | 0.514 | cell phone | 0.390 | microwave | 0.672 | | oven | 0.344 | toaster | 0.523 | sink | 0.431 | | refrigerator | 0.629 | book | 0.134 | clock | 0.482 | | vase | 0.423 | scissors | 0.314 | teddy bear | 0.487 | | hair drier | 0.081 | toothbrush | 0.232 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 21:58:36,994 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 21:58:36,995 - mmdet - INFO - Epoch(val) [18][625] bbox_mAP: 0.4676, bbox_mAP_50: 0.6865, bbox_mAP_75: 0.5173, bbox_mAP_s: 0.3202, bbox_mAP_m: 0.5095, bbox_mAP_l: 0.6046, bbox_mAP_copypaste: 0.4676 0.6865 0.5173 0.3202 0.5095 0.6046, segm_mAP: 0.4212, segm_mAP_50: 0.6568, segm_mAP_75: 0.4554, segm_mAP_s: 0.2399, segm_mAP_m: 0.4542, segm_mAP_l: 0.6009, segm_mAP_copypaste: 0.4212 0.6568 0.4554 0.2399 0.4542 0.6009 2023-11-14 21:58:53,280 - mmdet - INFO - Epoch [19][50/7330] lr: 1.000e-04, eta: 9:28:08, time: 0.325, data_time: 0.080, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0291, loss_cls: 0.1535, acc: 94.4253, loss_bbox: 0.1971, loss_mask: 0.1997, loss: 0.5993 2023-11-14 21:59:06,469 - mmdet - INFO - Epoch [19][100/7330] lr: 1.000e-04, eta: 9:27:56, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0312, loss_cls: 0.1586, acc: 94.3003, loss_bbox: 0.2020, loss_mask: 0.2106, loss: 0.6255 2023-11-14 21:59:19,514 - mmdet - INFO - Epoch [19][150/7330] lr: 1.000e-04, eta: 9:27:43, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0335, loss_cls: 0.1606, acc: 94.0740, loss_bbox: 0.2077, loss_mask: 0.2162, loss: 0.6413 2023-11-14 21:59:32,693 - mmdet - INFO - Epoch [19][200/7330] lr: 1.000e-04, eta: 9:27:30, time: 0.264, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0311, loss_cls: 0.1602, acc: 94.0859, loss_bbox: 0.2069, loss_mask: 0.2093, loss: 0.6284 2023-11-14 21:59:45,418 - mmdet - INFO - Epoch [19][250/7330] lr: 1.000e-04, eta: 9:27:17, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0295, loss_cls: 0.1546, acc: 94.4297, loss_bbox: 0.1960, loss_mask: 0.2103, loss: 0.6115 2023-11-14 21:59:58,475 - mmdet - INFO - Epoch [19][300/7330] lr: 1.000e-04, eta: 9:27:04, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0328, loss_cls: 0.1582, acc: 94.1963, loss_bbox: 0.2038, loss_mask: 0.2118, loss: 0.6287 2023-11-14 22:00:11,323 - mmdet - INFO - Epoch [19][350/7330] lr: 1.000e-04, eta: 9:26:51, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0334, loss_cls: 0.1641, acc: 94.0552, loss_bbox: 0.2054, loss_mask: 0.2142, loss: 0.6406 2023-11-14 22:00:24,189 - mmdet - INFO - Epoch [19][400/7330] lr: 1.000e-04, eta: 9:26:38, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0314, loss_cls: 0.1557, acc: 94.3511, loss_bbox: 0.2020, loss_mask: 0.2146, loss: 0.6264 2023-11-14 22:00:36,878 - mmdet - INFO - Epoch [19][450/7330] lr: 1.000e-04, eta: 9:26:25, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0319, loss_cls: 0.1510, acc: 94.3975, loss_bbox: 0.1936, loss_mask: 0.2073, loss: 0.6064 2023-11-14 22:00:49,619 - mmdet - INFO - Epoch [19][500/7330] lr: 1.000e-04, eta: 9:26:12, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0313, loss_cls: 0.1595, acc: 94.1338, loss_bbox: 0.2044, loss_mask: 0.2172, loss: 0.6346 2023-11-14 22:01:02,942 - mmdet - INFO - Epoch [19][550/7330] lr: 1.000e-04, eta: 9:26:00, time: 0.266, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0340, loss_cls: 0.1641, acc: 93.9717, loss_bbox: 0.2064, loss_mask: 0.2136, loss: 0.6432 2023-11-14 22:01:16,000 - mmdet - INFO - Epoch [19][600/7330] lr: 1.000e-04, eta: 9:25:47, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0319, loss_cls: 0.1572, acc: 94.3784, loss_bbox: 0.1962, loss_mask: 0.2095, loss: 0.6191 2023-11-14 22:01:28,636 - mmdet - INFO - Epoch [19][650/7330] lr: 1.000e-04, eta: 9:25:34, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0282, loss_cls: 0.1482, acc: 94.6531, loss_bbox: 0.1863, loss_mask: 0.2058, loss: 0.5892 2023-11-14 22:01:41,591 - mmdet - INFO - Epoch [19][700/7330] lr: 1.000e-04, eta: 9:25:21, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0308, loss_cls: 0.1550, acc: 94.2708, loss_bbox: 0.2053, loss_mask: 0.2074, loss: 0.6209 2023-11-14 22:01:54,540 - mmdet - INFO - Epoch [19][750/7330] lr: 1.000e-04, eta: 9:25:08, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0323, loss_cls: 0.1517, acc: 94.3606, loss_bbox: 0.2036, loss_mask: 0.2141, loss: 0.6233 2023-11-14 22:02:07,489 - mmdet - INFO - Epoch [19][800/7330] lr: 1.000e-04, eta: 9:24:55, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0330, loss_cls: 0.1607, acc: 94.1270, loss_bbox: 0.2034, loss_mask: 0.2067, loss: 0.6258 2023-11-14 22:02:20,288 - mmdet - INFO - Epoch [19][850/7330] lr: 1.000e-04, eta: 9:24:42, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0305, loss_cls: 0.1539, acc: 94.4343, loss_bbox: 0.1970, loss_mask: 0.2059, loss: 0.6089 2023-11-14 22:02:33,059 - mmdet - INFO - Epoch [19][900/7330] lr: 1.000e-04, eta: 9:24:29, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0314, loss_cls: 0.1535, acc: 94.3945, loss_bbox: 0.1984, loss_mask: 0.2075, loss: 0.6129 2023-11-14 22:02:46,313 - mmdet - INFO - Epoch [19][950/7330] lr: 1.000e-04, eta: 9:24:16, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0352, loss_cls: 0.1647, acc: 93.9871, loss_bbox: 0.2130, loss_mask: 0.2172, loss: 0.6564 2023-11-14 22:02:59,291 - mmdet - INFO - Epoch [19][1000/7330] lr: 1.000e-04, eta: 9:24:03, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0336, loss_cls: 0.1625, acc: 94.0544, loss_bbox: 0.2104, loss_mask: 0.2132, loss: 0.6418 2023-11-14 22:03:12,175 - mmdet - INFO - Epoch [19][1050/7330] lr: 1.000e-04, eta: 9:23:50, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0332, loss_cls: 0.1663, acc: 93.8950, loss_bbox: 0.2146, loss_mask: 0.2145, loss: 0.6533 2023-11-14 22:03:25,141 - mmdet - INFO - Epoch [19][1100/7330] lr: 1.000e-04, eta: 9:23:37, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0327, loss_cls: 0.1611, acc: 94.1624, loss_bbox: 0.2067, loss_mask: 0.2101, loss: 0.6335 2023-11-14 22:03:38,279 - mmdet - INFO - Epoch [19][1150/7330] lr: 1.000e-04, eta: 9:23:25, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0316, loss_cls: 0.1606, acc: 94.1575, loss_bbox: 0.2064, loss_mask: 0.2094, loss: 0.6298 2023-11-14 22:03:50,959 - mmdet - INFO - Epoch [19][1200/7330] lr: 1.000e-04, eta: 9:23:12, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0306, loss_cls: 0.1593, acc: 94.1611, loss_bbox: 0.2034, loss_mask: 0.2113, loss: 0.6270 2023-11-14 22:04:03,751 - mmdet - INFO - Epoch [19][1250/7330] lr: 1.000e-04, eta: 9:22:58, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0308, loss_cls: 0.1590, acc: 94.1116, loss_bbox: 0.1995, loss_mask: 0.2146, loss: 0.6281 2023-11-14 22:04:16,827 - mmdet - INFO - Epoch [19][1300/7330] lr: 1.000e-04, eta: 9:22:46, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0325, loss_cls: 0.1613, acc: 94.2166, loss_bbox: 0.2039, loss_mask: 0.2095, loss: 0.6313 2023-11-14 22:04:29,767 - mmdet - INFO - Epoch [19][1350/7330] lr: 1.000e-04, eta: 9:22:33, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0317, loss_cls: 0.1559, acc: 94.3367, loss_bbox: 0.1972, loss_mask: 0.2108, loss: 0.6195 2023-11-14 22:04:42,608 - mmdet - INFO - Epoch [19][1400/7330] lr: 1.000e-04, eta: 9:22:20, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0308, loss_cls: 0.1599, acc: 94.1907, loss_bbox: 0.2042, loss_mask: 0.2136, loss: 0.6306 2023-11-14 22:04:55,521 - mmdet - INFO - Epoch [19][1450/7330] lr: 1.000e-04, eta: 9:22:07, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0336, loss_cls: 0.1598, acc: 94.2102, loss_bbox: 0.2036, loss_mask: 0.2120, loss: 0.6340 2023-11-14 22:05:08,672 - mmdet - INFO - Epoch [19][1500/7330] lr: 1.000e-04, eta: 9:21:54, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0332, loss_cls: 0.1568, acc: 94.2756, loss_bbox: 0.2041, loss_mask: 0.2068, loss: 0.6237 2023-11-14 22:05:21,594 - mmdet - INFO - Epoch [19][1550/7330] lr: 1.000e-04, eta: 9:21:41, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0328, loss_cls: 0.1600, acc: 94.1672, loss_bbox: 0.2007, loss_mask: 0.2070, loss: 0.6226 2023-11-14 22:05:34,356 - mmdet - INFO - Epoch [19][1600/7330] lr: 1.000e-04, eta: 9:21:28, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0310, loss_cls: 0.1589, acc: 94.2290, loss_bbox: 0.2031, loss_mask: 0.2080, loss: 0.6242 2023-11-14 22:05:47,527 - mmdet - INFO - Epoch [19][1650/7330] lr: 1.000e-04, eta: 9:21:15, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0323, loss_cls: 0.1622, acc: 94.1230, loss_bbox: 0.2027, loss_mask: 0.2115, loss: 0.6296 2023-11-14 22:06:00,293 - mmdet - INFO - Epoch [19][1700/7330] lr: 1.000e-04, eta: 9:21:02, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0312, loss_cls: 0.1650, acc: 94.0088, loss_bbox: 0.2086, loss_mask: 0.2099, loss: 0.6376 2023-11-14 22:06:13,075 - mmdet - INFO - Epoch [19][1750/7330] lr: 1.000e-04, eta: 9:20:49, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0298, loss_cls: 0.1557, acc: 94.3840, loss_bbox: 0.1971, loss_mask: 0.2124, loss: 0.6154 2023-11-14 22:06:25,924 - mmdet - INFO - Epoch [19][1800/7330] lr: 1.000e-04, eta: 9:20:36, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0311, loss_cls: 0.1628, acc: 94.0339, loss_bbox: 0.2076, loss_mask: 0.2094, loss: 0.6353 2023-11-14 22:06:38,918 - mmdet - INFO - Epoch [19][1850/7330] lr: 1.000e-04, eta: 9:20:23, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0313, loss_cls: 0.1583, acc: 94.2822, loss_bbox: 0.2044, loss_mask: 0.2144, loss: 0.6309 2023-11-14 22:06:52,066 - mmdet - INFO - Epoch [19][1900/7330] lr: 1.000e-04, eta: 9:20:11, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0346, loss_cls: 0.1621, acc: 94.0986, loss_bbox: 0.2114, loss_mask: 0.2125, loss: 0.6442 2023-11-14 22:07:04,815 - mmdet - INFO - Epoch [19][1950/7330] lr: 1.000e-04, eta: 9:19:58, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0328, loss_cls: 0.1669, acc: 93.9321, loss_bbox: 0.2187, loss_mask: 0.2111, loss: 0.6517 2023-11-14 22:07:18,307 - mmdet - INFO - Epoch [19][2000/7330] lr: 1.000e-04, eta: 9:19:45, time: 0.270, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0336, loss_cls: 0.1633, acc: 94.0972, loss_bbox: 0.2110, loss_mask: 0.2121, loss: 0.6433 2023-11-14 22:07:31,403 - mmdet - INFO - Epoch [19][2050/7330] lr: 1.000e-04, eta: 9:19:33, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1621, acc: 94.1025, loss_bbox: 0.2072, loss_mask: 0.2097, loss: 0.6356 2023-11-14 22:07:44,254 - mmdet - INFO - Epoch [19][2100/7330] lr: 1.000e-04, eta: 9:19:20, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0311, loss_cls: 0.1604, acc: 94.1809, loss_bbox: 0.2065, loss_mask: 0.2109, loss: 0.6297 2023-11-14 22:07:57,441 - mmdet - INFO - Epoch [19][2150/7330] lr: 1.000e-04, eta: 9:19:07, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0331, loss_cls: 0.1644, acc: 93.9978, loss_bbox: 0.2085, loss_mask: 0.2126, loss: 0.6417 2023-11-14 22:08:10,448 - mmdet - INFO - Epoch [19][2200/7330] lr: 1.000e-04, eta: 9:18:54, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0328, loss_cls: 0.1565, acc: 94.2959, loss_bbox: 0.1958, loss_mask: 0.2089, loss: 0.6170 2023-11-14 22:08:23,512 - mmdet - INFO - Epoch [19][2250/7330] lr: 1.000e-04, eta: 9:18:41, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0329, loss_cls: 0.1676, acc: 93.8721, loss_bbox: 0.2150, loss_mask: 0.2117, loss: 0.6501 2023-11-14 22:08:36,713 - mmdet - INFO - Epoch [19][2300/7330] lr: 1.000e-04, eta: 9:18:29, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0320, loss_cls: 0.1678, acc: 93.9133, loss_bbox: 0.2085, loss_mask: 0.2119, loss: 0.6458 2023-11-14 22:08:49,504 - mmdet - INFO - Epoch [19][2350/7330] lr: 1.000e-04, eta: 9:18:16, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0314, loss_cls: 0.1659, acc: 93.9993, loss_bbox: 0.2111, loss_mask: 0.2161, loss: 0.6475 2023-11-14 22:09:02,713 - mmdet - INFO - Epoch [19][2400/7330] lr: 1.000e-04, eta: 9:18:03, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0338, loss_cls: 0.1709, acc: 93.8618, loss_bbox: 0.2110, loss_mask: 0.2153, loss: 0.6541 2023-11-14 22:09:15,698 - mmdet - INFO - Epoch [19][2450/7330] lr: 1.000e-04, eta: 9:17:50, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0328, loss_cls: 0.1633, acc: 94.1248, loss_bbox: 0.2057, loss_mask: 0.2118, loss: 0.6389 2023-11-14 22:09:28,710 - mmdet - INFO - Epoch [19][2500/7330] lr: 1.000e-04, eta: 9:17:37, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0338, loss_cls: 0.1629, acc: 93.9419, loss_bbox: 0.2062, loss_mask: 0.2172, loss: 0.6437 2023-11-14 22:09:41,480 - mmdet - INFO - Epoch [19][2550/7330] lr: 1.000e-04, eta: 9:17:24, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0327, loss_cls: 0.1681, acc: 93.9402, loss_bbox: 0.2083, loss_mask: 0.2150, loss: 0.6466 2023-11-14 22:09:54,391 - mmdet - INFO - Epoch [19][2600/7330] lr: 1.000e-04, eta: 9:17:11, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0318, loss_cls: 0.1608, acc: 94.2490, loss_bbox: 0.1992, loss_mask: 0.2127, loss: 0.6284 2023-11-14 22:10:07,465 - mmdet - INFO - Epoch [19][2650/7330] lr: 1.000e-04, eta: 9:16:58, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0331, loss_cls: 0.1655, acc: 93.9602, loss_bbox: 0.2138, loss_mask: 0.2131, loss: 0.6499 2023-11-14 22:10:20,585 - mmdet - INFO - Epoch [19][2700/7330] lr: 1.000e-04, eta: 9:16:46, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0335, loss_cls: 0.1638, acc: 94.0828, loss_bbox: 0.2110, loss_mask: 0.2154, loss: 0.6461 2023-11-14 22:10:33,495 - mmdet - INFO - Epoch [19][2750/7330] lr: 1.000e-04, eta: 9:16:33, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0318, loss_cls: 0.1607, acc: 94.0901, loss_bbox: 0.2055, loss_mask: 0.2157, loss: 0.6362 2023-11-14 22:10:46,229 - mmdet - INFO - Epoch [19][2800/7330] lr: 1.000e-04, eta: 9:16:20, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0325, loss_cls: 0.1646, acc: 93.9727, loss_bbox: 0.2119, loss_mask: 0.2150, loss: 0.6463 2023-11-14 22:10:58,800 - mmdet - INFO - Epoch [19][2850/7330] lr: 1.000e-04, eta: 9:16:06, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0296, loss_cls: 0.1592, acc: 94.1123, loss_bbox: 0.2072, loss_mask: 0.2072, loss: 0.6247 2023-11-14 22:11:12,555 - mmdet - INFO - Epoch [19][2900/7330] lr: 1.000e-04, eta: 9:15:54, time: 0.275, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0323, loss_cls: 0.1600, acc: 94.1477, loss_bbox: 0.2048, loss_mask: 0.2106, loss: 0.6298 2023-11-14 22:11:25,513 - mmdet - INFO - Epoch [19][2950/7330] lr: 1.000e-04, eta: 9:15:41, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0332, loss_cls: 0.1638, acc: 94.1331, loss_bbox: 0.2016, loss_mask: 0.2115, loss: 0.6354 2023-11-14 22:11:38,144 - mmdet - INFO - Epoch [19][3000/7330] lr: 1.000e-04, eta: 9:15:28, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0325, loss_cls: 0.1624, acc: 94.0044, loss_bbox: 0.2063, loss_mask: 0.2145, loss: 0.6387 2023-11-14 22:11:51,024 - mmdet - INFO - Epoch [19][3050/7330] lr: 1.000e-04, eta: 9:15:15, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0322, loss_cls: 0.1644, acc: 93.9614, loss_bbox: 0.2115, loss_mask: 0.2094, loss: 0.6406 2023-11-14 22:12:03,760 - mmdet - INFO - Epoch [19][3100/7330] lr: 1.000e-04, eta: 9:15:02, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0316, loss_cls: 0.1582, acc: 94.2446, loss_bbox: 0.2006, loss_mask: 0.2053, loss: 0.6172 2023-11-14 22:12:16,893 - mmdet - INFO - Epoch [19][3150/7330] lr: 1.000e-04, eta: 9:14:49, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0331, loss_cls: 0.1714, acc: 93.6858, loss_bbox: 0.2127, loss_mask: 0.2113, loss: 0.6525 2023-11-14 22:12:30,123 - mmdet - INFO - Epoch [19][3200/7330] lr: 1.000e-04, eta: 9:14:37, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0338, loss_cls: 0.1625, acc: 94.1125, loss_bbox: 0.2021, loss_mask: 0.2126, loss: 0.6359 2023-11-14 22:12:42,719 - mmdet - INFO - Epoch [19][3250/7330] lr: 1.000e-04, eta: 9:14:23, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0315, loss_cls: 0.1656, acc: 94.0427, loss_bbox: 0.2075, loss_mask: 0.2181, loss: 0.6452 2023-11-14 22:12:55,882 - mmdet - INFO - Epoch [19][3300/7330] lr: 1.000e-04, eta: 9:14:11, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0333, loss_cls: 0.1641, acc: 94.1150, loss_bbox: 0.2042, loss_mask: 0.2113, loss: 0.6387 2023-11-14 22:13:08,902 - mmdet - INFO - Epoch [19][3350/7330] lr: 1.000e-04, eta: 9:13:58, time: 0.260, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0330, loss_cls: 0.1661, acc: 93.9285, loss_bbox: 0.2134, loss_mask: 0.2137, loss: 0.6503 2023-11-14 22:13:21,901 - mmdet - INFO - Epoch [19][3400/7330] lr: 1.000e-04, eta: 9:13:45, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0319, loss_cls: 0.1620, acc: 94.1350, loss_bbox: 0.2068, loss_mask: 0.2103, loss: 0.6353 2023-11-14 22:13:35,046 - mmdet - INFO - Epoch [19][3450/7330] lr: 1.000e-04, eta: 9:13:32, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0321, loss_cls: 0.1602, acc: 94.1348, loss_bbox: 0.2060, loss_mask: 0.2119, loss: 0.6342 2023-11-14 22:13:48,260 - mmdet - INFO - Epoch [19][3500/7330] lr: 1.000e-04, eta: 9:13:20, time: 0.264, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0344, loss_cls: 0.1719, acc: 93.8733, loss_bbox: 0.2148, loss_mask: 0.2168, loss: 0.6619 2023-11-14 22:14:01,347 - mmdet - INFO - Epoch [19][3550/7330] lr: 1.000e-04, eta: 9:13:07, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0323, loss_cls: 0.1649, acc: 94.0681, loss_bbox: 0.2067, loss_mask: 0.2146, loss: 0.6424 2023-11-14 22:14:14,318 - mmdet - INFO - Epoch [19][3600/7330] lr: 1.000e-04, eta: 9:12:54, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0335, loss_cls: 0.1689, acc: 93.8923, loss_bbox: 0.2107, loss_mask: 0.2159, loss: 0.6541 2023-11-14 22:14:27,248 - mmdet - INFO - Epoch [19][3650/7330] lr: 1.000e-04, eta: 9:12:41, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0308, loss_cls: 0.1566, acc: 94.3518, loss_bbox: 0.1992, loss_mask: 0.2084, loss: 0.6176 2023-11-14 22:14:40,084 - mmdet - INFO - Epoch [19][3700/7330] lr: 1.000e-04, eta: 9:12:28, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0298, loss_cls: 0.1575, acc: 94.2034, loss_bbox: 0.2028, loss_mask: 0.2044, loss: 0.6168 2023-11-14 22:14:53,017 - mmdet - INFO - Epoch [19][3750/7330] lr: 1.000e-04, eta: 9:12:15, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0311, loss_cls: 0.1574, acc: 94.1670, loss_bbox: 0.2039, loss_mask: 0.2140, loss: 0.6276 2023-11-14 22:15:05,882 - mmdet - INFO - Epoch [19][3800/7330] lr: 1.000e-04, eta: 9:12:02, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0327, loss_cls: 0.1586, acc: 94.1355, loss_bbox: 0.2048, loss_mask: 0.2120, loss: 0.6309 2023-11-14 22:15:19,359 - mmdet - INFO - Epoch [19][3850/7330] lr: 1.000e-04, eta: 9:11:50, time: 0.269, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0334, loss_cls: 0.1677, acc: 93.8123, loss_bbox: 0.2114, loss_mask: 0.2095, loss: 0.6457 2023-11-14 22:15:32,035 - mmdet - INFO - Epoch [19][3900/7330] lr: 1.000e-04, eta: 9:11:37, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0316, loss_cls: 0.1645, acc: 94.1030, loss_bbox: 0.2094, loss_mask: 0.2120, loss: 0.6411 2023-11-14 22:15:44,825 - mmdet - INFO - Epoch [19][3950/7330] lr: 1.000e-04, eta: 9:11:24, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0323, loss_cls: 0.1618, acc: 94.1494, loss_bbox: 0.2050, loss_mask: 0.2037, loss: 0.6255 2023-11-14 22:15:57,645 - mmdet - INFO - Epoch [19][4000/7330] lr: 1.000e-04, eta: 9:11:11, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0292, loss_cls: 0.1533, acc: 94.3645, loss_bbox: 0.1982, loss_mask: 0.2110, loss: 0.6140 2023-11-14 22:16:10,310 - mmdet - INFO - Epoch [19][4050/7330] lr: 1.000e-04, eta: 9:10:57, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0337, loss_cls: 0.1654, acc: 94.0332, loss_bbox: 0.2120, loss_mask: 0.2122, loss: 0.6478 2023-11-14 22:16:23,189 - mmdet - INFO - Epoch [19][4100/7330] lr: 1.000e-04, eta: 9:10:44, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0312, loss_cls: 0.1628, acc: 94.0781, loss_bbox: 0.2053, loss_mask: 0.2126, loss: 0.6342 2023-11-14 22:16:36,640 - mmdet - INFO - Epoch [19][4150/7330] lr: 1.000e-04, eta: 9:10:32, time: 0.269, data_time: 0.022, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0311, loss_cls: 0.1604, acc: 94.1787, loss_bbox: 0.2044, loss_mask: 0.2172, loss: 0.6352 2023-11-14 22:16:49,439 - mmdet - INFO - Epoch [19][4200/7330] lr: 1.000e-04, eta: 9:10:19, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1632, acc: 94.0959, loss_bbox: 0.2066, loss_mask: 0.2141, loss: 0.6396 2023-11-14 22:17:02,370 - mmdet - INFO - Epoch [19][4250/7330] lr: 1.000e-04, eta: 9:10:06, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0334, loss_cls: 0.1665, acc: 94.0283, loss_bbox: 0.2088, loss_mask: 0.2143, loss: 0.6474 2023-11-14 22:17:15,231 - mmdet - INFO - Epoch [19][4300/7330] lr: 1.000e-04, eta: 9:09:53, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0324, loss_cls: 0.1581, acc: 94.2336, loss_bbox: 0.2010, loss_mask: 0.2076, loss: 0.6226 2023-11-14 22:17:28,116 - mmdet - INFO - Epoch [19][4350/7330] lr: 1.000e-04, eta: 9:09:40, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0320, loss_cls: 0.1582, acc: 94.2261, loss_bbox: 0.2022, loss_mask: 0.2115, loss: 0.6261 2023-11-14 22:17:40,999 - mmdet - INFO - Epoch [19][4400/7330] lr: 1.000e-04, eta: 9:09:27, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0345, loss_cls: 0.1678, acc: 93.9375, loss_bbox: 0.2092, loss_mask: 0.2187, loss: 0.6533 2023-11-14 22:17:53,772 - mmdet - INFO - Epoch [19][4450/7330] lr: 1.000e-04, eta: 9:09:14, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0339, loss_cls: 0.1710, acc: 93.7932, loss_bbox: 0.2148, loss_mask: 0.2151, loss: 0.6588 2023-11-14 22:18:06,428 - mmdet - INFO - Epoch [19][4500/7330] lr: 1.000e-04, eta: 9:09:01, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0294, loss_cls: 0.1510, acc: 94.5059, loss_bbox: 0.1957, loss_mask: 0.2066, loss: 0.6038 2023-11-14 22:18:19,298 - mmdet - INFO - Epoch [19][4550/7330] lr: 1.000e-04, eta: 9:08:48, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0315, loss_cls: 0.1641, acc: 94.0039, loss_bbox: 0.2070, loss_mask: 0.2138, loss: 0.6397 2023-11-14 22:18:32,010 - mmdet - INFO - Epoch [19][4600/7330] lr: 1.000e-04, eta: 9:08:35, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0324, loss_cls: 0.1580, acc: 94.2822, loss_bbox: 0.2024, loss_mask: 0.2080, loss: 0.6228 2023-11-14 22:18:44,878 - mmdet - INFO - Epoch [19][4650/7330] lr: 1.000e-04, eta: 9:08:22, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0333, loss_cls: 0.1671, acc: 94.0999, loss_bbox: 0.2079, loss_mask: 0.2109, loss: 0.6423 2023-11-14 22:18:57,814 - mmdet - INFO - Epoch [19][4700/7330] lr: 1.000e-04, eta: 9:08:09, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0304, loss_cls: 0.1604, acc: 94.1472, loss_bbox: 0.2015, loss_mask: 0.2109, loss: 0.6249 2023-11-14 22:19:10,888 - mmdet - INFO - Epoch [19][4750/7330] lr: 1.000e-04, eta: 9:07:56, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0316, loss_cls: 0.1621, acc: 94.0920, loss_bbox: 0.2066, loss_mask: 0.2099, loss: 0.6321 2023-11-14 22:19:23,518 - mmdet - INFO - Epoch [19][4800/7330] lr: 1.000e-04, eta: 9:07:43, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0332, loss_cls: 0.1673, acc: 93.9524, loss_bbox: 0.2108, loss_mask: 0.2134, loss: 0.6478 2023-11-14 22:19:36,416 - mmdet - INFO - Epoch [19][4850/7330] lr: 1.000e-04, eta: 9:07:30, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0334, loss_cls: 0.1668, acc: 93.8962, loss_bbox: 0.2132, loss_mask: 0.2181, loss: 0.6553 2023-11-14 22:19:49,463 - mmdet - INFO - Epoch [19][4900/7330] lr: 1.000e-04, eta: 9:07:17, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0337, loss_cls: 0.1642, acc: 93.9546, loss_bbox: 0.2069, loss_mask: 0.2140, loss: 0.6455 2023-11-14 22:20:02,541 - mmdet - INFO - Epoch [19][4950/7330] lr: 1.000e-04, eta: 9:07:04, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0317, loss_cls: 0.1657, acc: 93.9731, loss_bbox: 0.2034, loss_mask: 0.2113, loss: 0.6370 2023-11-14 22:20:15,218 - mmdet - INFO - Epoch [19][5000/7330] lr: 1.000e-04, eta: 9:06:51, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0319, loss_cls: 0.1606, acc: 94.2344, loss_bbox: 0.1985, loss_mask: 0.2065, loss: 0.6229 2023-11-14 22:20:28,019 - mmdet - INFO - Epoch [19][5050/7330] lr: 1.000e-04, eta: 9:06:38, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0288, loss_cls: 0.1556, acc: 94.2874, loss_bbox: 0.1984, loss_mask: 0.2069, loss: 0.6122 2023-11-14 22:20:40,498 - mmdet - INFO - Epoch [19][5100/7330] lr: 1.000e-04, eta: 9:06:25, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0296, loss_cls: 0.1549, acc: 94.2876, loss_bbox: 0.1992, loss_mask: 0.2127, loss: 0.6178 2023-11-14 22:20:53,087 - mmdet - INFO - Epoch [19][5150/7330] lr: 1.000e-04, eta: 9:06:12, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0328, loss_cls: 0.1660, acc: 93.9292, loss_bbox: 0.2116, loss_mask: 0.2083, loss: 0.6426 2023-11-14 22:21:06,177 - mmdet - INFO - Epoch [19][5200/7330] lr: 1.000e-04, eta: 9:05:59, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0268, loss_rpn_bbox: 0.0323, loss_cls: 0.1610, acc: 94.2014, loss_bbox: 0.2022, loss_mask: 0.2093, loss: 0.6318 2023-11-14 22:21:18,692 - mmdet - INFO - Epoch [19][5250/7330] lr: 1.000e-04, eta: 9:05:46, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0313, loss_cls: 0.1604, acc: 94.2837, loss_bbox: 0.1992, loss_mask: 0.2087, loss: 0.6216 2023-11-14 22:21:31,399 - mmdet - INFO - Epoch [19][5300/7330] lr: 1.000e-04, eta: 9:05:32, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0339, loss_cls: 0.1707, acc: 93.7737, loss_bbox: 0.2127, loss_mask: 0.2233, loss: 0.6640 2023-11-14 22:21:44,091 - mmdet - INFO - Epoch [19][5350/7330] lr: 1.000e-04, eta: 9:05:19, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0332, loss_cls: 0.1622, acc: 94.0762, loss_bbox: 0.2074, loss_mask: 0.2184, loss: 0.6443 2023-11-14 22:21:57,021 - mmdet - INFO - Epoch [19][5400/7330] lr: 1.000e-04, eta: 9:05:06, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0305, loss_cls: 0.1575, acc: 94.2280, loss_bbox: 0.2009, loss_mask: 0.2137, loss: 0.6231 2023-11-14 22:22:09,969 - mmdet - INFO - Epoch [19][5450/7330] lr: 1.000e-04, eta: 9:04:53, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0325, loss_cls: 0.1670, acc: 93.8574, loss_bbox: 0.2103, loss_mask: 0.2144, loss: 0.6454 2023-11-14 22:22:22,856 - mmdet - INFO - Epoch [19][5500/7330] lr: 1.000e-04, eta: 9:04:41, time: 0.258, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0324, loss_cls: 0.1608, acc: 94.2463, loss_bbox: 0.2046, loss_mask: 0.2081, loss: 0.6280 2023-11-14 22:22:35,746 - mmdet - INFO - Epoch [19][5550/7330] lr: 1.000e-04, eta: 9:04:28, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0328, loss_cls: 0.1583, acc: 94.1394, loss_bbox: 0.2061, loss_mask: 0.2110, loss: 0.6312 2023-11-14 22:22:48,656 - mmdet - INFO - Epoch [19][5600/7330] lr: 1.000e-04, eta: 9:04:15, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0288, loss_cls: 0.1603, acc: 94.1328, loss_bbox: 0.2004, loss_mask: 0.2150, loss: 0.6250 2023-11-14 22:23:01,625 - mmdet - INFO - Epoch [19][5650/7330] lr: 1.000e-04, eta: 9:04:02, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0321, loss_cls: 0.1609, acc: 94.0845, loss_bbox: 0.2090, loss_mask: 0.2159, loss: 0.6424 2023-11-14 22:23:14,570 - mmdet - INFO - Epoch [19][5700/7330] lr: 1.000e-04, eta: 9:03:49, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0333, loss_cls: 0.1677, acc: 93.8601, loss_bbox: 0.2118, loss_mask: 0.2164, loss: 0.6538 2023-11-14 22:23:27,553 - mmdet - INFO - Epoch [19][5750/7330] lr: 1.000e-04, eta: 9:03:36, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0315, loss_cls: 0.1665, acc: 93.9351, loss_bbox: 0.2044, loss_mask: 0.2124, loss: 0.6372 2023-11-14 22:23:40,171 - mmdet - INFO - Epoch [19][5800/7330] lr: 1.000e-04, eta: 9:03:23, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0313, loss_cls: 0.1605, acc: 94.2087, loss_bbox: 0.1988, loss_mask: 0.2157, loss: 0.6311 2023-11-14 22:23:53,029 - mmdet - INFO - Epoch [19][5850/7330] lr: 1.000e-04, eta: 9:03:10, time: 0.257, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0343, loss_cls: 0.1717, acc: 93.7732, loss_bbox: 0.2132, loss_mask: 0.2198, loss: 0.6652 2023-11-14 22:24:06,209 - mmdet - INFO - Epoch [19][5900/7330] lr: 1.000e-04, eta: 9:02:57, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0339, loss_cls: 0.1685, acc: 93.9280, loss_bbox: 0.2062, loss_mask: 0.2181, loss: 0.6528 2023-11-14 22:24:18,994 - mmdet - INFO - Epoch [19][5950/7330] lr: 1.000e-04, eta: 9:02:44, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0343, loss_cls: 0.1672, acc: 93.9009, loss_bbox: 0.2131, loss_mask: 0.2097, loss: 0.6495 2023-11-14 22:24:31,880 - mmdet - INFO - Epoch [19][6000/7330] lr: 1.000e-04, eta: 9:02:31, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0296, loss_cls: 0.1558, acc: 94.4014, loss_bbox: 0.1956, loss_mask: 0.2003, loss: 0.6027 2023-11-14 22:24:44,523 - mmdet - INFO - Epoch [19][6050/7330] lr: 1.000e-04, eta: 9:02:18, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0312, loss_cls: 0.1651, acc: 94.0386, loss_bbox: 0.2049, loss_mask: 0.2096, loss: 0.6339 2023-11-14 22:24:57,299 - mmdet - INFO - Epoch [19][6100/7330] lr: 1.000e-04, eta: 9:02:05, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0321, loss_cls: 0.1679, acc: 93.9353, loss_bbox: 0.2093, loss_mask: 0.2143, loss: 0.6472 2023-11-14 22:25:10,082 - mmdet - INFO - Epoch [19][6150/7330] lr: 1.000e-04, eta: 9:01:52, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0328, loss_cls: 0.1597, acc: 94.1543, loss_bbox: 0.2059, loss_mask: 0.2101, loss: 0.6310 2023-11-14 22:25:22,977 - mmdet - INFO - Epoch [19][6200/7330] lr: 1.000e-04, eta: 9:01:39, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0338, loss_cls: 0.1645, acc: 93.9263, loss_bbox: 0.2072, loss_mask: 0.2194, loss: 0.6497 2023-11-14 22:25:35,733 - mmdet - INFO - Epoch [19][6250/7330] lr: 1.000e-04, eta: 9:01:26, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0305, loss_cls: 0.1619, acc: 94.1462, loss_bbox: 0.2040, loss_mask: 0.2115, loss: 0.6301 2023-11-14 22:25:48,530 - mmdet - INFO - Epoch [19][6300/7330] lr: 1.000e-04, eta: 9:01:13, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0311, loss_cls: 0.1617, acc: 94.0696, loss_bbox: 0.2045, loss_mask: 0.2155, loss: 0.6346 2023-11-14 22:26:01,461 - mmdet - INFO - Epoch [19][6350/7330] lr: 1.000e-04, eta: 9:01:00, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0320, loss_cls: 0.1636, acc: 93.9988, loss_bbox: 0.2059, loss_mask: 0.2110, loss: 0.6342 2023-11-14 22:26:14,830 - mmdet - INFO - Epoch [19][6400/7330] lr: 1.000e-04, eta: 9:00:47, time: 0.267, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0340, loss_cls: 0.1673, acc: 93.8875, loss_bbox: 0.2114, loss_mask: 0.2152, loss: 0.6517 2023-11-14 22:26:27,690 - mmdet - INFO - Epoch [19][6450/7330] lr: 1.000e-04, eta: 9:00:34, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0334, loss_cls: 0.1719, acc: 93.7085, loss_bbox: 0.2161, loss_mask: 0.2237, loss: 0.6702 2023-11-14 22:26:40,695 - mmdet - INFO - Epoch [19][6500/7330] lr: 1.000e-04, eta: 9:00:21, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0336, loss_cls: 0.1607, acc: 94.0417, loss_bbox: 0.2097, loss_mask: 0.2186, loss: 0.6461 2023-11-14 22:26:53,887 - mmdet - INFO - Epoch [19][6550/7330] lr: 1.000e-04, eta: 9:00:09, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0352, loss_cls: 0.1684, acc: 93.8413, loss_bbox: 0.2106, loss_mask: 0.2140, loss: 0.6532 2023-11-14 22:27:06,733 - mmdet - INFO - Epoch [19][6600/7330] lr: 1.000e-04, eta: 8:59:56, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0319, loss_cls: 0.1607, acc: 94.1484, loss_bbox: 0.2056, loss_mask: 0.2108, loss: 0.6315 2023-11-14 22:27:19,835 - mmdet - INFO - Epoch [19][6650/7330] lr: 1.000e-04, eta: 8:59:43, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0284, loss_rpn_bbox: 0.0360, loss_cls: 0.1772, acc: 93.5940, loss_bbox: 0.2203, loss_mask: 0.2184, loss: 0.6804 2023-11-14 22:27:32,828 - mmdet - INFO - Epoch [19][6700/7330] lr: 1.000e-04, eta: 8:59:30, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0312, loss_cls: 0.1632, acc: 94.0989, loss_bbox: 0.2009, loss_mask: 0.2128, loss: 0.6319 2023-11-14 22:27:46,109 - mmdet - INFO - Epoch [19][6750/7330] lr: 1.000e-04, eta: 8:59:18, time: 0.266, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0348, loss_cls: 0.1581, acc: 94.1567, loss_bbox: 0.2068, loss_mask: 0.2148, loss: 0.6396 2023-11-14 22:27:58,762 - mmdet - INFO - Epoch [19][6800/7330] lr: 1.000e-04, eta: 8:59:04, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0332, loss_cls: 0.1632, acc: 94.1431, loss_bbox: 0.2051, loss_mask: 0.2089, loss: 0.6349 2023-11-14 22:28:11,622 - mmdet - INFO - Epoch [19][6850/7330] lr: 1.000e-04, eta: 8:58:51, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0322, loss_cls: 0.1635, acc: 94.0652, loss_bbox: 0.2095, loss_mask: 0.2123, loss: 0.6418 2023-11-14 22:28:24,694 - mmdet - INFO - Epoch [19][6900/7330] lr: 1.000e-04, eta: 8:58:39, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0313, loss_cls: 0.1600, acc: 94.1860, loss_bbox: 0.2005, loss_mask: 0.2108, loss: 0.6245 2023-11-14 22:28:37,531 - mmdet - INFO - Epoch [19][6950/7330] lr: 1.000e-04, eta: 8:58:26, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0333, loss_cls: 0.1613, acc: 94.1714, loss_bbox: 0.2032, loss_mask: 0.2087, loss: 0.6305 2023-11-14 22:28:50,379 - mmdet - INFO - Epoch [19][7000/7330] lr: 1.000e-04, eta: 8:58:13, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0314, loss_cls: 0.1622, acc: 94.1704, loss_bbox: 0.2046, loss_mask: 0.2172, loss: 0.6383 2023-11-14 22:29:02,906 - mmdet - INFO - Epoch [19][7050/7330] lr: 1.000e-04, eta: 8:57:59, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0257, loss_rpn_bbox: 0.0327, loss_cls: 0.1654, acc: 94.0059, loss_bbox: 0.2050, loss_mask: 0.2100, loss: 0.6388 2023-11-14 22:29:15,538 - mmdet - INFO - Epoch [19][7100/7330] lr: 1.000e-04, eta: 8:57:46, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0299, loss_cls: 0.1597, acc: 94.2473, loss_bbox: 0.2001, loss_mask: 0.2104, loss: 0.6220 2023-11-14 22:29:28,533 - mmdet - INFO - Epoch [19][7150/7330] lr: 1.000e-04, eta: 8:57:33, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0322, loss_cls: 0.1609, acc: 94.2202, loss_bbox: 0.2013, loss_mask: 0.2167, loss: 0.6351 2023-11-14 22:29:41,606 - mmdet - INFO - Epoch [19][7200/7330] lr: 1.000e-04, eta: 8:57:21, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0321, loss_cls: 0.1618, acc: 94.1184, loss_bbox: 0.2054, loss_mask: 0.2127, loss: 0.6344 2023-11-14 22:29:54,407 - mmdet - INFO - Epoch [19][7250/7330] lr: 1.000e-04, eta: 8:57:08, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0321, loss_cls: 0.1610, acc: 94.1687, loss_bbox: 0.2021, loss_mask: 0.2081, loss: 0.6257 2023-11-14 22:30:07,272 - mmdet - INFO - Epoch [19][7300/7330] lr: 1.000e-04, eta: 8:56:55, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0329, loss_cls: 0.1644, acc: 94.0571, loss_bbox: 0.2074, loss_mask: 0.2165, loss: 0.6430 2023-11-14 22:30:15,587 - mmdet - INFO - Saving checkpoint at 19 epochs 2023-11-14 22:30:56,974 - mmdet - INFO - Evaluating bbox... 2023-11-14 22:31:27,256 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.468 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.684 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.519 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.293 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.510 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.612 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 ] = 0.399 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.633 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.738 2023-11-14 22:31:27,259 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.579 | bicycle | 0.359 | car | 0.493 | | motorcycle | 0.476 | airplane | 0.707 | bus | 0.692 | | train | 0.659 | truck | 0.403 | boat | 0.316 | | traffic light | 0.296 | fire hydrant | 0.709 | stop sign | 0.675 | | parking meter | 0.522 | bench | 0.293 | bird | 0.405 | | cat | 0.728 | dog | 0.676 | horse | 0.629 | | sheep | 0.584 | cow | 0.605 | elephant | 0.661 | | bear | 0.741 | zebra | 0.677 | giraffe | 0.681 | | backpack | 0.204 | umbrella | 0.435 | handbag | 0.212 | | tie | 0.390 | suitcase | 0.442 | frisbee | 0.687 | | skis | 0.317 | snowboard | 0.427 | sports ball | 0.452 | | kite | 0.447 | baseball bat | 0.398 | baseball glove | 0.435 | | skateboard | 0.587 | surfboard | 0.450 | tennis racket | 0.533 | | bottle | 0.447 | wine glass | 0.425 | cup | 0.473 | | fork | 0.447 | knife | 0.288 | spoon | 0.308 | | bowl | 0.458 | banana | 0.284 | apple | 0.262 | | sandwich | 0.389 | orange | 0.344 | broccoli | 0.237 | | carrot | 0.245 | hot dog | 0.431 | pizza | 0.539 | | donut | 0.531 | cake | 0.393 | chair | 0.353 | | couch | 0.458 | potted plant | 0.333 | bed | 0.468 | | dining table | 0.315 | toilet | 0.645 | tv | 0.604 | | laptop | 0.659 | mouse | 0.646 | remote | 0.399 | | keyboard | 0.547 | cell phone | 0.426 | microwave | 0.595 | | oven | 0.392 | toaster | 0.549 | sink | 0.430 | | refrigerator | 0.636 | book | 0.185 | clock | 0.506 | | vase | 0.408 | scissors | 0.411 | teddy bear | 0.513 | | hair drier | 0.107 | toothbrush | 0.364 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 22:31:27,259 - mmdet - INFO - Evaluating segm... 2023-11-14 22:31:58,001 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.417 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.652 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.449 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.212 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.452 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 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.531 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.334 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 ] = 0.696 2023-11-14 22:31:58,004 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.500 | bicycle | 0.213 | car | 0.441 | | motorcycle | 0.377 | airplane | 0.524 | bus | 0.685 | | train | 0.635 | truck | 0.389 | boat | 0.277 | | traffic light | 0.285 | fire hydrant | 0.672 | stop sign | 0.654 | | parking meter | 0.516 | bench | 0.208 | bird | 0.329 | | cat | 0.713 | dog | 0.631 | horse | 0.464 | | sheep | 0.514 | cow | 0.499 | elephant | 0.609 | | bear | 0.707 | zebra | 0.571 | giraffe | 0.532 | | backpack | 0.222 | umbrella | 0.502 | handbag | 0.201 | | tie | 0.356 | suitcase | 0.461 | frisbee | 0.617 | | skis | 0.046 | snowboard | 0.261 | sports ball | 0.436 | | kite | 0.302 | baseball bat | 0.294 | baseball glove | 0.453 | | skateboard | 0.366 | surfboard | 0.366 | tennis racket | 0.587 | | bottle | 0.430 | wine glass | 0.382 | cup | 0.475 | | fork | 0.235 | knife | 0.180 | spoon | 0.206 | | bowl | 0.425 | banana | 0.226 | apple | 0.248 | | sandwich | 0.398 | orange | 0.341 | broccoli | 0.232 | | carrot | 0.219 | hot dog | 0.380 | pizza | 0.518 | | donut | 0.531 | cake | 0.400 | chair | 0.241 | | couch | 0.376 | potted plant | 0.282 | bed | 0.371 | | dining table | 0.178 | toilet | 0.629 | tv | 0.638 | | laptop | 0.660 | mouse | 0.633 | remote | 0.358 | | keyboard | 0.547 | cell phone | 0.400 | microwave | 0.642 | | oven | 0.359 | toaster | 0.591 | sink | 0.412 | | refrigerator | 0.642 | book | 0.132 | clock | 0.503 | | vase | 0.400 | scissors | 0.299 | teddy bear | 0.495 | | hair drier | 0.082 | toothbrush | 0.224 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 22:31:58,423 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 22:31:58,424 - mmdet - INFO - Epoch(val) [19][625] bbox_mAP: 0.4679, bbox_mAP_50: 0.6841, bbox_mAP_75: 0.5191, bbox_mAP_s: 0.2929, bbox_mAP_m: 0.5100, bbox_mAP_l: 0.6118, bbox_mAP_copypaste: 0.4679 0.6841 0.5191 0.2929 0.5100 0.6118, segm_mAP: 0.4167, segm_mAP_50: 0.6519, segm_mAP_75: 0.4490, segm_mAP_s: 0.2116, segm_mAP_m: 0.4519, segm_mAP_l: 0.6039, segm_mAP_copypaste: 0.4167 0.6519 0.4490 0.2116 0.4519 0.6039 2023-11-14 22:32:17,069 - mmdet - INFO - Epoch [20][50/7330] lr: 1.000e-04, eta: 8:56:32, time: 0.373, data_time: 0.121, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0337, loss_cls: 0.1619, acc: 94.0283, loss_bbox: 0.2086, loss_mask: 0.2111, loss: 0.6386 2023-11-14 22:32:30,137 - mmdet - INFO - Epoch [20][100/7330] lr: 1.000e-04, eta: 8:56:19, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0314, loss_cls: 0.1623, acc: 94.1204, loss_bbox: 0.2078, loss_mask: 0.2145, loss: 0.6391 2023-11-14 22:32:43,516 - mmdet - INFO - Epoch [20][150/7330] lr: 1.000e-04, eta: 8:56:07, time: 0.268, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0329, loss_cls: 0.1597, acc: 94.0886, loss_bbox: 0.2068, loss_mask: 0.2097, loss: 0.6315 2023-11-14 22:32:56,410 - mmdet - INFO - Epoch [20][200/7330] lr: 1.000e-04, eta: 8:55:54, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0303, loss_cls: 0.1571, acc: 94.2747, loss_bbox: 0.2036, loss_mask: 0.2080, loss: 0.6205 2023-11-14 22:33:09,344 - mmdet - INFO - Epoch [20][250/7330] lr: 1.000e-04, eta: 8:55:41, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0305, loss_cls: 0.1578, acc: 94.3528, loss_bbox: 0.1997, loss_mask: 0.2107, loss: 0.6204 2023-11-14 22:33:22,556 - mmdet - INFO - Epoch [20][300/7330] lr: 1.000e-04, eta: 8:55:28, time: 0.264, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0301, loss_cls: 0.1524, acc: 94.4202, loss_bbox: 0.1965, loss_mask: 0.2111, loss: 0.6107 2023-11-14 22:33:35,591 - mmdet - INFO - Epoch [20][350/7330] lr: 1.000e-04, eta: 8:55:15, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0321, loss_cls: 0.1639, acc: 94.0471, loss_bbox: 0.2077, loss_mask: 0.2131, loss: 0.6388 2023-11-14 22:33:48,847 - mmdet - INFO - Epoch [20][400/7330] lr: 1.000e-04, eta: 8:55:03, time: 0.265, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0338, loss_cls: 0.1615, acc: 94.1638, loss_bbox: 0.2041, loss_mask: 0.2144, loss: 0.6372 2023-11-14 22:34:01,885 - mmdet - INFO - Epoch [20][450/7330] lr: 1.000e-04, eta: 8:54:50, time: 0.261, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0307, loss_cls: 0.1592, acc: 94.0803, loss_bbox: 0.2062, loss_mask: 0.2044, loss: 0.6227 2023-11-14 22:34:15,264 - mmdet - INFO - Epoch [20][500/7330] lr: 1.000e-04, eta: 8:54:37, time: 0.268, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0315, loss_cls: 0.1584, acc: 94.2012, loss_bbox: 0.2012, loss_mask: 0.2063, loss: 0.6178 2023-11-14 22:34:28,537 - mmdet - INFO - Epoch [20][550/7330] lr: 1.000e-04, eta: 8:54:25, time: 0.265, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0330, loss_cls: 0.1577, acc: 94.2332, loss_bbox: 0.2014, loss_mask: 0.2110, loss: 0.6255 2023-11-14 22:34:41,376 - mmdet - INFO - Epoch [20][600/7330] lr: 1.000e-04, eta: 8:54:12, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0336, loss_cls: 0.1649, acc: 93.8743, loss_bbox: 0.2146, loss_mask: 0.2201, loss: 0.6572 2023-11-14 22:34:54,072 - mmdet - INFO - Epoch [20][650/7330] lr: 1.000e-04, eta: 8:53:59, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0323, loss_cls: 0.1568, acc: 94.3982, loss_bbox: 0.2019, loss_mask: 0.2118, loss: 0.6276 2023-11-14 22:35:07,013 - mmdet - INFO - Epoch [20][700/7330] lr: 1.000e-04, eta: 8:53:46, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0331, loss_cls: 0.1620, acc: 94.1218, loss_bbox: 0.2070, loss_mask: 0.2159, loss: 0.6397 2023-11-14 22:35:19,854 - mmdet - INFO - Epoch [20][750/7330] lr: 1.000e-04, eta: 8:53:33, time: 0.257, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0327, loss_cls: 0.1586, acc: 94.2390, loss_bbox: 0.1974, loss_mask: 0.2119, loss: 0.6252 2023-11-14 22:35:32,749 - mmdet - INFO - Epoch [20][800/7330] lr: 1.000e-04, eta: 8:53:20, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0296, loss_cls: 0.1511, acc: 94.3823, loss_bbox: 0.1955, loss_mask: 0.2080, loss: 0.6051 2023-11-14 22:35:45,962 - mmdet - INFO - Epoch [20][850/7330] lr: 1.000e-04, eta: 8:53:07, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0318, loss_cls: 0.1616, acc: 94.1191, loss_bbox: 0.2037, loss_mask: 0.2091, loss: 0.6275 2023-11-14 22:35:59,158 - mmdet - INFO - Epoch [20][900/7330] lr: 1.000e-04, eta: 8:52:54, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0314, loss_cls: 0.1589, acc: 94.2534, loss_bbox: 0.2037, loss_mask: 0.2117, loss: 0.6276 2023-11-14 22:36:12,364 - mmdet - INFO - Epoch [20][950/7330] lr: 1.000e-04, eta: 8:52:42, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0317, loss_cls: 0.1611, acc: 94.0308, loss_bbox: 0.2054, loss_mask: 0.2118, loss: 0.6316 2023-11-14 22:36:25,412 - mmdet - INFO - Epoch [20][1000/7330] lr: 1.000e-04, eta: 8:52:29, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0295, loss_cls: 0.1550, acc: 94.3503, loss_bbox: 0.1974, loss_mask: 0.2084, loss: 0.6109 2023-11-14 22:36:38,420 - mmdet - INFO - Epoch [20][1050/7330] lr: 1.000e-04, eta: 8:52:16, time: 0.260, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0328, loss_cls: 0.1571, acc: 94.1465, loss_bbox: 0.1991, loss_mask: 0.2066, loss: 0.6177 2023-11-14 22:36:51,694 - mmdet - INFO - Epoch [20][1100/7330] lr: 1.000e-04, eta: 8:52:04, time: 0.265, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0339, loss_cls: 0.1613, acc: 94.0850, loss_bbox: 0.2117, loss_mask: 0.2165, loss: 0.6471 2023-11-14 22:37:04,503 - mmdet - INFO - Epoch [20][1150/7330] lr: 1.000e-04, eta: 8:51:50, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0334, loss_cls: 0.1619, acc: 94.0669, loss_bbox: 0.2044, loss_mask: 0.2117, loss: 0.6336 2023-11-14 22:37:17,130 - mmdet - INFO - Epoch [20][1200/7330] lr: 1.000e-04, eta: 8:51:37, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0310, loss_cls: 0.1570, acc: 94.2593, loss_bbox: 0.2006, loss_mask: 0.2055, loss: 0.6170 2023-11-14 22:37:30,102 - mmdet - INFO - Epoch [20][1250/7330] lr: 1.000e-04, eta: 8:51:24, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0304, loss_cls: 0.1496, acc: 94.4280, loss_bbox: 0.1960, loss_mask: 0.2097, loss: 0.6063 2023-11-14 22:37:43,457 - mmdet - INFO - Epoch [20][1300/7330] lr: 1.000e-04, eta: 8:51:12, time: 0.267, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0263, loss_rpn_bbox: 0.0343, loss_cls: 0.1664, acc: 93.9197, loss_bbox: 0.2134, loss_mask: 0.2203, loss: 0.6608 2023-11-14 22:37:56,365 - mmdet - INFO - Epoch [20][1350/7330] lr: 1.000e-04, eta: 8:50:59, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0338, loss_cls: 0.1601, acc: 94.1072, loss_bbox: 0.2108, loss_mask: 0.2133, loss: 0.6415 2023-11-14 22:38:09,524 - mmdet - INFO - Epoch [20][1400/7330] lr: 1.000e-04, eta: 8:50:46, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0302, loss_cls: 0.1584, acc: 94.2908, loss_bbox: 0.2033, loss_mask: 0.2097, loss: 0.6229 2023-11-14 22:38:22,676 - mmdet - INFO - Epoch [20][1450/7330] lr: 1.000e-04, eta: 8:50:33, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0318, loss_cls: 0.1566, acc: 94.2278, loss_bbox: 0.2096, loss_mask: 0.2114, loss: 0.6303 2023-11-14 22:38:36,023 - mmdet - INFO - Epoch [20][1500/7330] lr: 1.000e-04, eta: 8:50:21, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0319, loss_cls: 0.1566, acc: 94.2905, loss_bbox: 0.1980, loss_mask: 0.2139, loss: 0.6208 2023-11-14 22:38:49,205 - mmdet - INFO - Epoch [20][1550/7330] lr: 1.000e-04, eta: 8:50:08, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0341, loss_cls: 0.1607, acc: 94.0718, loss_bbox: 0.2049, loss_mask: 0.2113, loss: 0.6352 2023-11-14 22:39:02,004 - mmdet - INFO - Epoch [20][1600/7330] lr: 1.000e-04, eta: 8:49:55, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0299, loss_cls: 0.1469, acc: 94.5298, loss_bbox: 0.1943, loss_mask: 0.2082, loss: 0.6000 2023-11-14 22:39:14,946 - mmdet - INFO - Epoch [20][1650/7330] lr: 1.000e-04, eta: 8:49:42, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0309, loss_cls: 0.1669, acc: 93.8962, loss_bbox: 0.2170, loss_mask: 0.2130, loss: 0.6491 2023-11-14 22:39:27,697 - mmdet - INFO - Epoch [20][1700/7330] lr: 1.000e-04, eta: 8:49:29, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0306, loss_cls: 0.1564, acc: 94.3965, loss_bbox: 0.1969, loss_mask: 0.2099, loss: 0.6158 2023-11-14 22:39:40,782 - mmdet - INFO - Epoch [20][1750/7330] lr: 1.000e-04, eta: 8:49:16, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0318, loss_cls: 0.1582, acc: 94.2378, loss_bbox: 0.2022, loss_mask: 0.2097, loss: 0.6226 2023-11-14 22:39:53,917 - mmdet - INFO - Epoch [20][1800/7330] lr: 1.000e-04, eta: 8:49:04, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0327, loss_cls: 0.1673, acc: 93.8994, loss_bbox: 0.2127, loss_mask: 0.2171, loss: 0.6507 2023-11-14 22:40:07,070 - mmdet - INFO - Epoch [20][1850/7330] lr: 1.000e-04, eta: 8:48:51, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0333, loss_cls: 0.1676, acc: 93.8667, loss_bbox: 0.2100, loss_mask: 0.2193, loss: 0.6543 2023-11-14 22:40:19,920 - mmdet - INFO - Epoch [20][1900/7330] lr: 1.000e-04, eta: 8:48:38, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0317, loss_cls: 0.1579, acc: 94.2935, loss_bbox: 0.1997, loss_mask: 0.2103, loss: 0.6221 2023-11-14 22:40:32,859 - mmdet - INFO - Epoch [20][1950/7330] lr: 1.000e-04, eta: 8:48:25, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0293, loss_cls: 0.1549, acc: 94.4500, loss_bbox: 0.1961, loss_mask: 0.2166, loss: 0.6182 2023-11-14 22:40:46,008 - mmdet - INFO - Epoch [20][2000/7330] lr: 1.000e-04, eta: 8:48:12, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0315, loss_cls: 0.1615, acc: 94.1460, loss_bbox: 0.2020, loss_mask: 0.2108, loss: 0.6284 2023-11-14 22:40:59,347 - mmdet - INFO - Epoch [20][2050/7330] lr: 1.000e-04, eta: 8:48:00, time: 0.267, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0336, loss_cls: 0.1670, acc: 93.7913, loss_bbox: 0.2177, loss_mask: 0.2117, loss: 0.6542 2023-11-14 22:41:12,462 - mmdet - INFO - Epoch [20][2100/7330] lr: 1.000e-04, eta: 8:47:47, time: 0.262, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0342, loss_cls: 0.1627, acc: 94.0842, loss_bbox: 0.2076, loss_mask: 0.2104, loss: 0.6396 2023-11-14 22:41:25,508 - mmdet - INFO - Epoch [20][2150/7330] lr: 1.000e-04, eta: 8:47:34, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0298, loss_cls: 0.1588, acc: 94.1855, loss_bbox: 0.2058, loss_mask: 0.2064, loss: 0.6226 2023-11-14 22:41:38,691 - mmdet - INFO - Epoch [20][2200/7330] lr: 1.000e-04, eta: 8:47:21, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0334, loss_cls: 0.1614, acc: 94.1394, loss_bbox: 0.2020, loss_mask: 0.2085, loss: 0.6285 2023-11-14 22:41:51,896 - mmdet - INFO - Epoch [20][2250/7330] lr: 1.000e-04, eta: 8:47:09, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0338, loss_cls: 0.1610, acc: 94.0278, loss_bbox: 0.2046, loss_mask: 0.2104, loss: 0.6331 2023-11-14 22:42:04,576 - mmdet - INFO - Epoch [20][2300/7330] lr: 1.000e-04, eta: 8:46:56, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0306, loss_cls: 0.1581, acc: 94.1816, loss_bbox: 0.2011, loss_mask: 0.2096, loss: 0.6217 2023-11-14 22:42:17,597 - mmdet - INFO - Epoch [20][2350/7330] lr: 1.000e-04, eta: 8:46:43, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0329, loss_cls: 0.1619, acc: 93.9963, loss_bbox: 0.2111, loss_mask: 0.2171, loss: 0.6444 2023-11-14 22:42:30,408 - mmdet - INFO - Epoch [20][2400/7330] lr: 1.000e-04, eta: 8:46:30, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0299, loss_cls: 0.1527, acc: 94.4265, loss_bbox: 0.1995, loss_mask: 0.2074, loss: 0.6092 2023-11-14 22:42:43,416 - mmdet - INFO - Epoch [20][2450/7330] lr: 1.000e-04, eta: 8:46:17, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0335, loss_cls: 0.1579, acc: 94.2102, loss_bbox: 0.2016, loss_mask: 0.2086, loss: 0.6246 2023-11-14 22:42:56,164 - mmdet - INFO - Epoch [20][2500/7330] lr: 1.000e-04, eta: 8:46:04, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0347, loss_cls: 0.1628, acc: 94.0649, loss_bbox: 0.2103, loss_mask: 0.2120, loss: 0.6431 2023-11-14 22:43:09,097 - mmdet - INFO - Epoch [20][2550/7330] lr: 1.000e-04, eta: 8:45:51, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0323, loss_cls: 0.1604, acc: 94.1296, loss_bbox: 0.2038, loss_mask: 0.2112, loss: 0.6297 2023-11-14 22:43:21,903 - mmdet - INFO - Epoch [20][2600/7330] lr: 1.000e-04, eta: 8:45:38, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0322, loss_cls: 0.1646, acc: 93.9885, loss_bbox: 0.2091, loss_mask: 0.2165, loss: 0.6463 2023-11-14 22:43:34,518 - mmdet - INFO - Epoch [20][2650/7330] lr: 1.000e-04, eta: 8:45:25, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0294, loss_cls: 0.1489, acc: 94.6157, loss_bbox: 0.1923, loss_mask: 0.2100, loss: 0.6040 2023-11-14 22:43:47,156 - mmdet - INFO - Epoch [20][2700/7330] lr: 1.000e-04, eta: 8:45:12, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0314, loss_cls: 0.1554, acc: 94.4136, loss_bbox: 0.1968, loss_mask: 0.2064, loss: 0.6133 2023-11-14 22:44:00,384 - mmdet - INFO - Epoch [20][2750/7330] lr: 1.000e-04, eta: 8:44:59, time: 0.264, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0330, loss_cls: 0.1604, acc: 94.2080, loss_bbox: 0.2044, loss_mask: 0.2137, loss: 0.6351 2023-11-14 22:44:13,007 - mmdet - INFO - Epoch [20][2800/7330] lr: 1.000e-04, eta: 8:44:46, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0337, loss_cls: 0.1610, acc: 94.0713, loss_bbox: 0.2072, loss_mask: 0.2165, loss: 0.6439 2023-11-14 22:44:25,787 - mmdet - INFO - Epoch [20][2850/7330] lr: 1.000e-04, eta: 8:44:33, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0314, loss_cls: 0.1617, acc: 94.2598, loss_bbox: 0.2054, loss_mask: 0.2163, loss: 0.6367 2023-11-14 22:44:38,527 - mmdet - INFO - Epoch [20][2900/7330] lr: 1.000e-04, eta: 8:44:20, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0324, loss_cls: 0.1604, acc: 94.0554, loss_bbox: 0.2078, loss_mask: 0.2144, loss: 0.6367 2023-11-14 22:44:51,444 - mmdet - INFO - Epoch [20][2950/7330] lr: 1.000e-04, eta: 8:44:07, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0333, loss_cls: 0.1681, acc: 93.8674, loss_bbox: 0.2133, loss_mask: 0.2110, loss: 0.6489 2023-11-14 22:45:04,034 - mmdet - INFO - Epoch [20][3000/7330] lr: 1.000e-04, eta: 8:43:53, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0311, loss_cls: 0.1620, acc: 94.1243, loss_bbox: 0.2060, loss_mask: 0.2090, loss: 0.6288 2023-11-14 22:45:16,911 - mmdet - INFO - Epoch [20][3050/7330] lr: 1.000e-04, eta: 8:43:40, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0336, loss_cls: 0.1618, acc: 94.1057, loss_bbox: 0.2056, loss_mask: 0.2129, loss: 0.6373 2023-11-14 22:45:29,675 - mmdet - INFO - Epoch [20][3100/7330] lr: 1.000e-04, eta: 8:43:27, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1572, acc: 94.1958, loss_bbox: 0.2032, loss_mask: 0.2096, loss: 0.6217 2023-11-14 22:45:42,882 - mmdet - INFO - Epoch [20][3150/7330] lr: 1.000e-04, eta: 8:43:15, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0259, loss_rpn_bbox: 0.0343, loss_cls: 0.1642, acc: 94.0728, loss_bbox: 0.2090, loss_mask: 0.2146, loss: 0.6478 2023-11-14 22:45:55,932 - mmdet - INFO - Epoch [20][3200/7330] lr: 1.000e-04, eta: 8:43:02, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0325, loss_cls: 0.1586, acc: 94.1929, loss_bbox: 0.2025, loss_mask: 0.2089, loss: 0.6266 2023-11-14 22:46:08,712 - mmdet - INFO - Epoch [20][3250/7330] lr: 1.000e-04, eta: 8:42:49, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0326, loss_cls: 0.1621, acc: 94.0649, loss_bbox: 0.2082, loss_mask: 0.2130, loss: 0.6383 2023-11-14 22:46:21,446 - mmdet - INFO - Epoch [20][3300/7330] lr: 1.000e-04, eta: 8:42:36, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0306, loss_cls: 0.1608, acc: 94.1736, loss_bbox: 0.2001, loss_mask: 0.2107, loss: 0.6253 2023-11-14 22:46:34,414 - mmdet - INFO - Epoch [20][3350/7330] lr: 1.000e-04, eta: 8:42:23, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0310, loss_cls: 0.1628, acc: 94.0676, loss_bbox: 0.2057, loss_mask: 0.2105, loss: 0.6306 2023-11-14 22:46:47,611 - mmdet - INFO - Epoch [20][3400/7330] lr: 1.000e-04, eta: 8:42:10, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0363, loss_cls: 0.1700, acc: 93.8469, loss_bbox: 0.2149, loss_mask: 0.2177, loss: 0.6626 2023-11-14 22:47:00,121 - mmdet - INFO - Epoch [20][3450/7330] lr: 1.000e-04, eta: 8:41:57, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0299, loss_cls: 0.1559, acc: 94.3208, loss_bbox: 0.1985, loss_mask: 0.2048, loss: 0.6111 2023-11-14 22:47:13,219 - mmdet - INFO - Epoch [20][3500/7330] lr: 1.000e-04, eta: 8:41:44, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0316, loss_cls: 0.1551, acc: 94.3062, loss_bbox: 0.1994, loss_mask: 0.2067, loss: 0.6148 2023-11-14 22:47:25,965 - mmdet - INFO - Epoch [20][3550/7330] lr: 1.000e-04, eta: 8:41:31, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0306, loss_cls: 0.1556, acc: 94.3203, loss_bbox: 0.1998, loss_mask: 0.2089, loss: 0.6168 2023-11-14 22:47:38,754 - mmdet - INFO - Epoch [20][3600/7330] lr: 1.000e-04, eta: 8:41:18, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0307, loss_cls: 0.1584, acc: 94.2375, loss_bbox: 0.2026, loss_mask: 0.2173, loss: 0.6312 2023-11-14 22:47:51,476 - mmdet - INFO - Epoch [20][3650/7330] lr: 1.000e-04, eta: 8:41:05, time: 0.255, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0337, loss_cls: 0.1699, acc: 93.8320, loss_bbox: 0.2127, loss_mask: 0.2153, loss: 0.6577 2023-11-14 22:48:04,337 - mmdet - INFO - Epoch [20][3700/7330] lr: 1.000e-04, eta: 8:40:52, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0307, loss_cls: 0.1485, acc: 94.5410, loss_bbox: 0.1911, loss_mask: 0.2028, loss: 0.5955 2023-11-14 22:48:17,526 - mmdet - INFO - Epoch [20][3750/7330] lr: 1.000e-04, eta: 8:40:39, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0334, loss_cls: 0.1632, acc: 93.9868, loss_bbox: 0.2098, loss_mask: 0.2145, loss: 0.6451 2023-11-14 22:48:30,542 - mmdet - INFO - Epoch [20][3800/7330] lr: 1.000e-04, eta: 8:40:26, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0318, loss_cls: 0.1557, acc: 94.2803, loss_bbox: 0.2006, loss_mask: 0.2045, loss: 0.6160 2023-11-14 22:48:43,175 - mmdet - INFO - Epoch [20][3850/7330] lr: 1.000e-04, eta: 8:40:13, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0298, loss_cls: 0.1552, acc: 94.3879, loss_bbox: 0.1941, loss_mask: 0.2082, loss: 0.6105 2023-11-14 22:48:56,000 - mmdet - INFO - Epoch [20][3900/7330] lr: 1.000e-04, eta: 8:40:00, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0301, loss_cls: 0.1592, acc: 94.1665, loss_bbox: 0.1992, loss_mask: 0.2117, loss: 0.6223 2023-11-14 22:49:08,835 - mmdet - INFO - Epoch [20][3950/7330] lr: 1.000e-04, eta: 8:39:47, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0325, loss_cls: 0.1645, acc: 94.0132, loss_bbox: 0.2081, loss_mask: 0.2085, loss: 0.6381 2023-11-14 22:49:21,665 - mmdet - INFO - Epoch [20][4000/7330] lr: 1.000e-04, eta: 8:39:34, time: 0.257, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0339, loss_cls: 0.1656, acc: 93.9485, loss_bbox: 0.2107, loss_mask: 0.2171, loss: 0.6524 2023-11-14 22:49:34,462 - mmdet - INFO - Epoch [20][4050/7330] lr: 1.000e-04, eta: 8:39:21, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0325, loss_cls: 0.1641, acc: 93.9683, loss_bbox: 0.2092, loss_mask: 0.2155, loss: 0.6462 2023-11-14 22:49:47,551 - mmdet - INFO - Epoch [20][4100/7330] lr: 1.000e-04, eta: 8:39:08, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0336, loss_cls: 0.1648, acc: 93.9895, loss_bbox: 0.2057, loss_mask: 0.2083, loss: 0.6356 2023-11-14 22:50:00,182 - mmdet - INFO - Epoch [20][4150/7330] lr: 1.000e-04, eta: 8:38:55, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0325, loss_cls: 0.1619, acc: 94.0442, loss_bbox: 0.2087, loss_mask: 0.2166, loss: 0.6410 2023-11-14 22:50:12,994 - mmdet - INFO - Epoch [20][4200/7330] lr: 1.000e-04, eta: 8:38:42, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0307, loss_cls: 0.1568, acc: 94.3450, loss_bbox: 0.1974, loss_mask: 0.2081, loss: 0.6163 2023-11-14 22:50:26,179 - mmdet - INFO - Epoch [20][4250/7330] lr: 1.000e-04, eta: 8:38:30, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0315, loss_cls: 0.1587, acc: 94.1970, loss_bbox: 0.1989, loss_mask: 0.2080, loss: 0.6201 2023-11-14 22:50:38,898 - mmdet - INFO - Epoch [20][4300/7330] lr: 1.000e-04, eta: 8:38:16, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0335, loss_cls: 0.1670, acc: 93.9285, loss_bbox: 0.2046, loss_mask: 0.2083, loss: 0.6389 2023-11-14 22:50:51,768 - mmdet - INFO - Epoch [20][4350/7330] lr: 1.000e-04, eta: 8:38:03, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0303, loss_cls: 0.1592, acc: 94.2703, loss_bbox: 0.1987, loss_mask: 0.2106, loss: 0.6195 2023-11-14 22:51:04,712 - mmdet - INFO - Epoch [20][4400/7330] lr: 1.000e-04, eta: 8:37:51, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0319, loss_cls: 0.1567, acc: 94.2473, loss_bbox: 0.2008, loss_mask: 0.2103, loss: 0.6213 2023-11-14 22:51:17,405 - mmdet - INFO - Epoch [20][4450/7330] lr: 1.000e-04, eta: 8:37:37, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0306, loss_cls: 0.1585, acc: 94.3655, loss_bbox: 0.1938, loss_mask: 0.2128, loss: 0.6184 2023-11-14 22:51:30,456 - mmdet - INFO - Epoch [20][4500/7330] lr: 1.000e-04, eta: 8:37:25, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0333, loss_cls: 0.1540, acc: 94.3484, loss_bbox: 0.1953, loss_mask: 0.2109, loss: 0.6182 2023-11-14 22:51:43,159 - mmdet - INFO - Epoch [20][4550/7330] lr: 1.000e-04, eta: 8:37:12, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0319, loss_cls: 0.1639, acc: 93.9771, loss_bbox: 0.2120, loss_mask: 0.2142, loss: 0.6441 2023-11-14 22:51:55,927 - mmdet - INFO - Epoch [20][4600/7330] lr: 1.000e-04, eta: 8:36:58, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0308, loss_cls: 0.1609, acc: 94.1741, loss_bbox: 0.2032, loss_mask: 0.2124, loss: 0.6298 2023-11-14 22:52:09,086 - mmdet - INFO - Epoch [20][4650/7330] lr: 1.000e-04, eta: 8:36:46, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0344, loss_cls: 0.1612, acc: 94.1108, loss_bbox: 0.2110, loss_mask: 0.2179, loss: 0.6482 2023-11-14 22:52:22,046 - mmdet - INFO - Epoch [20][4700/7330] lr: 1.000e-04, eta: 8:36:33, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0309, loss_cls: 0.1597, acc: 94.1858, loss_bbox: 0.2044, loss_mask: 0.2093, loss: 0.6263 2023-11-14 22:52:34,575 - mmdet - INFO - Epoch [20][4750/7330] lr: 1.000e-04, eta: 8:36:20, time: 0.251, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0304, loss_cls: 0.1631, acc: 94.1743, loss_bbox: 0.2027, loss_mask: 0.2127, loss: 0.6319 2023-11-14 22:52:47,222 - mmdet - INFO - Epoch [20][4800/7330] lr: 1.000e-04, eta: 8:36:06, time: 0.253, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0300, loss_cls: 0.1585, acc: 94.2585, loss_bbox: 0.2035, loss_mask: 0.2105, loss: 0.6245 2023-11-14 22:53:00,025 - mmdet - INFO - Epoch [20][4850/7330] lr: 1.000e-04, eta: 8:35:53, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0306, loss_cls: 0.1609, acc: 94.1458, loss_bbox: 0.2057, loss_mask: 0.2101, loss: 0.6290 2023-11-14 22:53:13,063 - mmdet - INFO - Epoch [20][4900/7330] lr: 1.000e-04, eta: 8:35:41, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0340, loss_cls: 0.1635, acc: 94.1506, loss_bbox: 0.2063, loss_mask: 0.2154, loss: 0.6432 2023-11-14 22:53:26,374 - mmdet - INFO - Epoch [20][4950/7330] lr: 1.000e-04, eta: 8:35:28, time: 0.266, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0324, loss_cls: 0.1653, acc: 94.0146, loss_bbox: 0.2096, loss_mask: 0.2146, loss: 0.6446 2023-11-14 22:53:39,168 - mmdet - INFO - Epoch [20][5000/7330] lr: 1.000e-04, eta: 8:35:15, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0295, loss_cls: 0.1571, acc: 94.2344, loss_bbox: 0.2006, loss_mask: 0.2083, loss: 0.6172 2023-11-14 22:53:52,035 - mmdet - INFO - Epoch [20][5050/7330] lr: 1.000e-04, eta: 8:35:02, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0323, loss_cls: 0.1620, acc: 94.1448, loss_bbox: 0.2025, loss_mask: 0.2119, loss: 0.6330 2023-11-14 22:54:04,900 - mmdet - INFO - Epoch [20][5100/7330] lr: 1.000e-04, eta: 8:34:49, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0320, loss_cls: 0.1622, acc: 94.0613, loss_bbox: 0.2039, loss_mask: 0.2048, loss: 0.6260 2023-11-14 22:54:17,784 - mmdet - INFO - Epoch [20][5150/7330] lr: 1.000e-04, eta: 8:34:36, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0265, loss_rpn_bbox: 0.0338, loss_cls: 0.1662, acc: 94.0144, loss_bbox: 0.2124, loss_mask: 0.2185, loss: 0.6575 2023-11-14 22:54:30,769 - mmdet - INFO - Epoch [20][5200/7330] lr: 1.000e-04, eta: 8:34:23, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0326, loss_cls: 0.1636, acc: 94.0969, loss_bbox: 0.2073, loss_mask: 0.2101, loss: 0.6367 2023-11-14 22:54:43,396 - mmdet - INFO - Epoch [20][5250/7330] lr: 1.000e-04, eta: 8:34:10, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0300, loss_cls: 0.1545, acc: 94.4324, loss_bbox: 0.1915, loss_mask: 0.2081, loss: 0.6062 2023-11-14 22:54:56,313 - mmdet - INFO - Epoch [20][5300/7330] lr: 1.000e-04, eta: 8:33:57, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0328, loss_cls: 0.1682, acc: 93.9492, loss_bbox: 0.2082, loss_mask: 0.2126, loss: 0.6450 2023-11-14 22:55:09,230 - mmdet - INFO - Epoch [20][5350/7330] lr: 1.000e-04, eta: 8:33:44, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0322, loss_cls: 0.1605, acc: 94.1646, loss_bbox: 0.2048, loss_mask: 0.2075, loss: 0.6289 2023-11-14 22:55:22,003 - mmdet - INFO - Epoch [20][5400/7330] lr: 1.000e-04, eta: 8:33:31, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0312, loss_cls: 0.1585, acc: 94.2490, loss_bbox: 0.1997, loss_mask: 0.2064, loss: 0.6178 2023-11-14 22:55:34,768 - mmdet - INFO - Epoch [20][5450/7330] lr: 1.000e-04, eta: 8:33:18, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0305, loss_cls: 0.1602, acc: 94.0803, loss_bbox: 0.2033, loss_mask: 0.2114, loss: 0.6280 2023-11-14 22:55:47,303 - mmdet - INFO - Epoch [20][5500/7330] lr: 1.000e-04, eta: 8:33:05, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0303, loss_cls: 0.1568, acc: 94.3125, loss_bbox: 0.2015, loss_mask: 0.2112, loss: 0.6212 2023-11-14 22:56:00,115 - mmdet - INFO - Epoch [20][5550/7330] lr: 1.000e-04, eta: 8:32:52, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0341, loss_cls: 0.1640, acc: 94.0544, loss_bbox: 0.2056, loss_mask: 0.2149, loss: 0.6435 2023-11-14 22:56:12,614 - mmdet - INFO - Epoch [20][5600/7330] lr: 1.000e-04, eta: 8:32:39, time: 0.250, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0340, loss_cls: 0.1655, acc: 93.9636, loss_bbox: 0.2095, loss_mask: 0.2141, loss: 0.6475 2023-11-14 22:56:25,242 - mmdet - INFO - Epoch [20][5650/7330] lr: 1.000e-04, eta: 8:32:25, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0301, loss_cls: 0.1545, acc: 94.4021, loss_bbox: 0.1962, loss_mask: 0.2116, loss: 0.6139 2023-11-14 22:56:38,173 - mmdet - INFO - Epoch [20][5700/7330] lr: 1.000e-04, eta: 8:32:12, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0337, loss_cls: 0.1621, acc: 94.0566, loss_bbox: 0.2048, loss_mask: 0.2130, loss: 0.6369 2023-11-14 22:56:50,898 - mmdet - INFO - Epoch [20][5750/7330] lr: 1.000e-04, eta: 8:31:59, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0317, loss_cls: 0.1648, acc: 93.9905, loss_bbox: 0.2051, loss_mask: 0.2071, loss: 0.6310 2023-11-14 22:57:03,739 - mmdet - INFO - Epoch [20][5800/7330] lr: 1.000e-04, eta: 8:31:46, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0318, loss_cls: 0.1613, acc: 94.0569, loss_bbox: 0.2056, loss_mask: 0.2102, loss: 0.6310 2023-11-14 22:57:16,424 - mmdet - INFO - Epoch [20][5850/7330] lr: 1.000e-04, eta: 8:31:33, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0332, loss_cls: 0.1700, acc: 93.9001, loss_bbox: 0.2103, loss_mask: 0.2136, loss: 0.6525 2023-11-14 22:57:29,028 - mmdet - INFO - Epoch [20][5900/7330] lr: 1.000e-04, eta: 8:31:20, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0335, loss_cls: 0.1648, acc: 94.0247, loss_bbox: 0.2061, loss_mask: 0.2134, loss: 0.6419 2023-11-14 22:57:41,626 - mmdet - INFO - Epoch [20][5950/7330] lr: 1.000e-04, eta: 8:31:07, time: 0.252, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0329, loss_cls: 0.1691, acc: 93.8367, loss_bbox: 0.2130, loss_mask: 0.2120, loss: 0.6501 2023-11-14 22:57:54,496 - mmdet - INFO - Epoch [20][6000/7330] lr: 1.000e-04, eta: 8:30:54, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0324, loss_cls: 0.1612, acc: 94.1755, loss_bbox: 0.2035, loss_mask: 0.2081, loss: 0.6288 2023-11-14 22:58:07,305 - mmdet - INFO - Epoch [20][6050/7330] lr: 1.000e-04, eta: 8:30:41, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0330, loss_cls: 0.1654, acc: 94.0066, loss_bbox: 0.2070, loss_mask: 0.2136, loss: 0.6419 2023-11-14 22:58:20,014 - mmdet - INFO - Epoch [20][6100/7330] lr: 1.000e-04, eta: 8:30:28, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0332, loss_cls: 0.1631, acc: 94.0037, loss_bbox: 0.2074, loss_mask: 0.2071, loss: 0.6356 2023-11-14 22:58:32,705 - mmdet - INFO - Epoch [20][6150/7330] lr: 1.000e-04, eta: 8:30:15, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0327, loss_cls: 0.1620, acc: 94.1279, loss_bbox: 0.2055, loss_mask: 0.2100, loss: 0.6359 2023-11-14 22:58:45,682 - mmdet - INFO - Epoch [20][6200/7330] lr: 1.000e-04, eta: 8:30:02, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0346, loss_cls: 0.1687, acc: 93.8000, loss_bbox: 0.2153, loss_mask: 0.2154, loss: 0.6580 2023-11-14 22:58:58,609 - mmdet - INFO - Epoch [20][6250/7330] lr: 1.000e-04, eta: 8:29:49, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0350, loss_cls: 0.1677, acc: 93.7810, loss_bbox: 0.2143, loss_mask: 0.2105, loss: 0.6513 2023-11-14 22:59:11,389 - mmdet - INFO - Epoch [20][6300/7330] lr: 1.000e-04, eta: 8:29:36, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0336, loss_cls: 0.1669, acc: 93.9375, loss_bbox: 0.2090, loss_mask: 0.2112, loss: 0.6457 2023-11-14 22:59:24,341 - mmdet - INFO - Epoch [20][6350/7330] lr: 1.000e-04, eta: 8:29:23, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0321, loss_cls: 0.1585, acc: 94.1965, loss_bbox: 0.2001, loss_mask: 0.2047, loss: 0.6165 2023-11-14 22:59:37,250 - mmdet - INFO - Epoch [20][6400/7330] lr: 1.000e-04, eta: 8:29:10, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0314, loss_cls: 0.1622, acc: 94.1006, loss_bbox: 0.2063, loss_mask: 0.2079, loss: 0.6301 2023-11-14 22:59:50,098 - mmdet - INFO - Epoch [20][6450/7330] lr: 1.000e-04, eta: 8:28:57, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0322, loss_cls: 0.1614, acc: 94.1177, loss_bbox: 0.2054, loss_mask: 0.2128, loss: 0.6343 2023-11-14 23:00:02,791 - mmdet - INFO - Epoch [20][6500/7330] lr: 1.000e-04, eta: 8:28:44, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0311, loss_cls: 0.1622, acc: 94.1243, loss_bbox: 0.2018, loss_mask: 0.2105, loss: 0.6284 2023-11-14 23:00:15,737 - mmdet - INFO - Epoch [20][6550/7330] lr: 1.000e-04, eta: 8:28:31, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0354, loss_cls: 0.1630, acc: 94.0056, loss_bbox: 0.2127, loss_mask: 0.2117, loss: 0.6483 2023-11-14 23:00:28,543 - mmdet - INFO - Epoch [20][6600/7330] lr: 1.000e-04, eta: 8:28:18, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0313, loss_cls: 0.1623, acc: 94.0828, loss_bbox: 0.2040, loss_mask: 0.2130, loss: 0.6330 2023-11-14 23:00:41,286 - mmdet - INFO - Epoch [20][6650/7330] lr: 1.000e-04, eta: 8:28:05, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0336, loss_cls: 0.1711, acc: 93.7732, loss_bbox: 0.2149, loss_mask: 0.2143, loss: 0.6590 2023-11-14 23:00:54,283 - mmdet - INFO - Epoch [20][6700/7330] lr: 1.000e-04, eta: 8:27:52, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0311, loss_cls: 0.1619, acc: 94.1648, loss_bbox: 0.2020, loss_mask: 0.2190, loss: 0.6357 2023-11-14 23:01:07,302 - mmdet - INFO - Epoch [20][6750/7330] lr: 1.000e-04, eta: 8:27:39, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0342, loss_cls: 0.1708, acc: 93.8450, loss_bbox: 0.2137, loss_mask: 0.2164, loss: 0.6612 2023-11-14 23:01:20,053 - mmdet - INFO - Epoch [20][6800/7330] lr: 1.000e-04, eta: 8:27:26, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0309, loss_cls: 0.1615, acc: 94.1904, loss_bbox: 0.2039, loss_mask: 0.2121, loss: 0.6306 2023-11-14 23:01:32,852 - mmdet - INFO - Epoch [20][6850/7330] lr: 1.000e-04, eta: 8:27:13, time: 0.256, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0311, loss_cls: 0.1633, acc: 94.1348, loss_bbox: 0.2057, loss_mask: 0.2049, loss: 0.6270 2023-11-14 23:01:45,905 - mmdet - INFO - Epoch [20][6900/7330] lr: 1.000e-04, eta: 8:27:00, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0331, loss_cls: 0.1657, acc: 93.8789, loss_bbox: 0.2135, loss_mask: 0.2121, loss: 0.6503 2023-11-14 23:01:58,718 - mmdet - INFO - Epoch [20][6950/7330] lr: 1.000e-04, eta: 8:26:47, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0327, loss_cls: 0.1665, acc: 93.9141, loss_bbox: 0.2070, loss_mask: 0.2140, loss: 0.6441 2023-11-14 23:02:11,666 - mmdet - INFO - Epoch [20][7000/7330] lr: 1.000e-04, eta: 8:26:34, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0323, loss_cls: 0.1643, acc: 94.1155, loss_bbox: 0.2025, loss_mask: 0.2053, loss: 0.6296 2023-11-14 23:02:24,428 - mmdet - INFO - Epoch [20][7050/7330] lr: 1.000e-04, eta: 8:26:21, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0324, loss_cls: 0.1653, acc: 94.0515, loss_bbox: 0.2041, loss_mask: 0.2097, loss: 0.6337 2023-11-14 23:02:37,147 - mmdet - INFO - Epoch [20][7100/7330] lr: 1.000e-04, eta: 8:26:08, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0333, loss_cls: 0.1587, acc: 94.1038, loss_bbox: 0.2079, loss_mask: 0.2098, loss: 0.6330 2023-11-14 23:02:49,830 - mmdet - INFO - Epoch [20][7150/7330] lr: 1.000e-04, eta: 8:25:55, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0350, loss_cls: 0.1733, acc: 93.6414, loss_bbox: 0.2191, loss_mask: 0.2145, loss: 0.6670 2023-11-14 23:03:02,628 - mmdet - INFO - Epoch [20][7200/7330] lr: 1.000e-04, eta: 8:25:42, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0313, loss_cls: 0.1626, acc: 94.0898, loss_bbox: 0.2024, loss_mask: 0.2121, loss: 0.6323 2023-11-14 23:03:15,731 - mmdet - INFO - Epoch [20][7250/7330] lr: 1.000e-04, eta: 8:25:29, time: 0.262, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0326, loss_cls: 0.1652, acc: 94.0471, loss_bbox: 0.2056, loss_mask: 0.2162, loss: 0.6423 2023-11-14 23:03:28,655 - mmdet - INFO - Epoch [20][7300/7330] lr: 1.000e-04, eta: 8:25:16, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0329, loss_cls: 0.1611, acc: 94.0837, loss_bbox: 0.2091, loss_mask: 0.2146, loss: 0.6409 2023-11-14 23:03:37,026 - mmdet - INFO - Saving checkpoint at 20 epochs 2023-11-14 23:04:22,268 - mmdet - INFO - Evaluating bbox... 2023-11-14 23:04:51,798 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.467 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.685 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.513 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.314 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.502 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.592 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.419 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 ] = 0.728 2023-11-14 23:04:51,801 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.575 | bicycle | 0.388 | car | 0.489 | | motorcycle | 0.488 | airplane | 0.705 | bus | 0.679 | | train | 0.678 | truck | 0.406 | boat | 0.313 | | traffic light | 0.300 | fire hydrant | 0.708 | stop sign | 0.662 | | parking meter | 0.499 | bench | 0.290 | bird | 0.409 | | cat | 0.708 | dog | 0.686 | horse | 0.634 | | sheep | 0.572 | cow | 0.595 | elephant | 0.681 | | bear | 0.715 | zebra | 0.694 | giraffe | 0.698 | | backpack | 0.211 | umbrella | 0.453 | handbag | 0.216 | | tie | 0.381 | suitcase | 0.467 | frisbee | 0.705 | | skis | 0.297 | snowboard | 0.420 | sports ball | 0.468 | | kite | 0.460 | baseball bat | 0.398 | baseball glove | 0.427 | | skateboard | 0.590 | surfboard | 0.469 | tennis racket | 0.541 | | bottle | 0.453 | wine glass | 0.412 | cup | 0.488 | | fork | 0.439 | knife | 0.241 | spoon | 0.286 | | bowl | 0.441 | banana | 0.280 | apple | 0.251 | | sandwich | 0.374 | orange | 0.327 | broccoli | 0.242 | | carrot | 0.240 | hot dog | 0.405 | pizza | 0.545 | | donut | 0.523 | cake | 0.430 | chair | 0.357 | | couch | 0.466 | potted plant | 0.333 | bed | 0.467 | | dining table | 0.305 | toilet | 0.660 | tv | 0.616 | | laptop | 0.666 | mouse | 0.646 | remote | 0.416 | | keyboard | 0.555 | cell phone | 0.417 | microwave | 0.588 | | oven | 0.411 | toaster | 0.440 | sink | 0.451 | | refrigerator | 0.622 | book | 0.188 | clock | 0.509 | | vase | 0.409 | scissors | 0.404 | teddy bear | 0.503 | | hair drier | 0.158 | toothbrush | 0.312 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 23:04:51,801 - mmdet - INFO - Evaluating segm... 2023-11-14 23:05:24,671 - 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 ] = 0.655 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.451 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.223 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.448 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.603 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.536 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.536 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 ] = 0.576 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 2023-11-14 23:05:24,674 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.497 | bicycle | 0.241 | car | 0.445 | | motorcycle | 0.395 | airplane | 0.546 | bus | 0.672 | | train | 0.668 | truck | 0.397 | boat | 0.270 | | traffic light | 0.291 | fire hydrant | 0.685 | stop sign | 0.652 | | parking meter | 0.515 | bench | 0.222 | bird | 0.341 | | cat | 0.705 | dog | 0.658 | horse | 0.465 | | sheep | 0.509 | cow | 0.501 | elephant | 0.629 | | bear | 0.685 | zebra | 0.597 | giraffe | 0.555 | | backpack | 0.208 | umbrella | 0.508 | handbag | 0.211 | | tie | 0.347 | suitcase | 0.481 | frisbee | 0.633 | | skis | 0.058 | snowboard | 0.272 | sports ball | 0.446 | | kite | 0.329 | baseball bat | 0.288 | baseball glove | 0.451 | | skateboard | 0.385 | surfboard | 0.384 | tennis racket | 0.586 | | bottle | 0.426 | wine glass | 0.353 | cup | 0.488 | | fork | 0.226 | knife | 0.169 | spoon | 0.190 | | bowl | 0.405 | banana | 0.221 | apple | 0.241 | | sandwich | 0.400 | orange | 0.326 | broccoli | 0.228 | | carrot | 0.212 | hot dog | 0.334 | pizza | 0.519 | | donut | 0.524 | cake | 0.440 | chair | 0.253 | | couch | 0.393 | potted plant | 0.281 | bed | 0.366 | | dining table | 0.180 | toilet | 0.635 | tv | 0.638 | | laptop | 0.667 | mouse | 0.636 | remote | 0.368 | | keyboard | 0.544 | cell phone | 0.394 | microwave | 0.619 | | oven | 0.381 | toaster | 0.481 | sink | 0.421 | | refrigerator | 0.642 | book | 0.136 | clock | 0.508 | | vase | 0.403 | scissors | 0.299 | teddy bear | 0.485 | | hair drier | 0.107 | toothbrush | 0.220 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 23:05:25,136 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:05:25,138 - mmdet - INFO - Epoch(val) [20][625] bbox_mAP: 0.4669, bbox_mAP_50: 0.6854, bbox_mAP_75: 0.5133, bbox_mAP_s: 0.3136, bbox_mAP_m: 0.5022, bbox_mAP_l: 0.6074, bbox_mAP_copypaste: 0.4669 0.6854 0.5133 0.3136 0.5022 0.6074, segm_mAP: 0.4186, segm_mAP_50: 0.6555, segm_mAP_75: 0.4510, segm_mAP_s: 0.2232, segm_mAP_m: 0.4480, segm_mAP_l: 0.6033, segm_mAP_copypaste: 0.4186 0.6555 0.4510 0.2232 0.4480 0.6033 2023-11-14 23:05:43,798 - mmdet - INFO - Epoch [21][50/7330] lr: 1.000e-04, eta: 8:24:54, time: 0.373, data_time: 0.122, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0295, loss_cls: 0.1467, acc: 94.6135, loss_bbox: 0.1873, loss_mask: 0.2046, loss: 0.5885 2023-11-14 23:05:56,909 - mmdet - INFO - Epoch [21][100/7330] lr: 1.000e-04, eta: 8:24:41, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0308, loss_cls: 0.1621, acc: 94.0403, loss_bbox: 0.2057, loss_mask: 0.2108, loss: 0.6322 2023-11-14 23:06:10,271 - mmdet - INFO - Epoch [21][150/7330] lr: 1.000e-04, eta: 8:24:29, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0327, loss_cls: 0.1587, acc: 94.0811, loss_bbox: 0.2039, loss_mask: 0.2194, loss: 0.6374 2023-11-14 23:06:23,557 - mmdet - INFO - Epoch [21][200/7330] lr: 1.000e-04, eta: 8:24:16, time: 0.266, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0334, loss_cls: 0.1598, acc: 94.2241, loss_bbox: 0.2016, loss_mask: 0.2083, loss: 0.6259 2023-11-14 23:06:36,665 - mmdet - INFO - Epoch [21][250/7330] lr: 1.000e-04, eta: 8:24:03, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0313, loss_cls: 0.1589, acc: 94.2590, loss_bbox: 0.2046, loss_mask: 0.2120, loss: 0.6281 2023-11-14 23:06:49,829 - mmdet - INFO - Epoch [21][300/7330] lr: 1.000e-04, eta: 8:23:51, time: 0.263, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0302, loss_cls: 0.1539, acc: 94.4592, loss_bbox: 0.1951, loss_mask: 0.2118, loss: 0.6141 2023-11-14 23:07:02,808 - mmdet - INFO - Epoch [21][350/7330] lr: 1.000e-04, eta: 8:23:38, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0317, loss_cls: 0.1619, acc: 94.2031, loss_bbox: 0.2036, loss_mask: 0.2120, loss: 0.6326 2023-11-14 23:07:15,648 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:07:15,648 - mmdet - INFO - Epoch [21][400/7330] lr: 1.000e-04, eta: 8:23:25, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0293, loss_cls: 0.1509, acc: 94.4766, loss_bbox: 0.1954, loss_mask: 0.2068, loss: 0.6036 2023-11-14 23:07:28,667 - mmdet - INFO - Epoch [21][450/7330] lr: 1.000e-04, eta: 8:23:12, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0320, loss_cls: 0.1563, acc: 94.2710, loss_bbox: 0.2035, loss_mask: 0.2121, loss: 0.6250 2023-11-14 23:07:41,570 - mmdet - INFO - Epoch [21][500/7330] lr: 1.000e-04, eta: 8:22:59, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0330, loss_cls: 0.1595, acc: 94.1174, loss_bbox: 0.2062, loss_mask: 0.2118, loss: 0.6341 2023-11-14 23:07:54,557 - mmdet - INFO - Epoch [21][550/7330] lr: 1.000e-04, eta: 8:22:46, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0318, loss_cls: 0.1596, acc: 94.1440, loss_bbox: 0.2054, loss_mask: 0.2141, loss: 0.6342 2023-11-14 23:08:07,247 - mmdet - INFO - Epoch [21][600/7330] lr: 1.000e-04, eta: 8:22:33, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0315, loss_cls: 0.1647, acc: 93.9717, loss_bbox: 0.2095, loss_mask: 0.2174, loss: 0.6438 2023-11-14 23:08:20,157 - mmdet - INFO - Epoch [21][650/7330] lr: 1.000e-04, eta: 8:22:20, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0301, loss_cls: 0.1572, acc: 94.1816, loss_bbox: 0.2005, loss_mask: 0.2063, loss: 0.6160 2023-11-14 23:08:32,959 - mmdet - INFO - Epoch [21][700/7330] lr: 1.000e-04, eta: 8:22:07, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0303, loss_cls: 0.1576, acc: 94.2661, loss_bbox: 0.1969, loss_mask: 0.2072, loss: 0.6141 2023-11-14 23:08:45,810 - mmdet - INFO - Epoch [21][750/7330] lr: 1.000e-04, eta: 8:21:54, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0317, loss_cls: 0.1621, acc: 94.0911, loss_bbox: 0.2084, loss_mask: 0.2177, loss: 0.6431 2023-11-14 23:08:58,968 - mmdet - INFO - Epoch [21][800/7330] lr: 1.000e-04, eta: 8:21:41, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0308, loss_cls: 0.1519, acc: 94.4902, loss_bbox: 0.2007, loss_mask: 0.2110, loss: 0.6159 2023-11-14 23:09:11,722 - mmdet - INFO - Epoch [21][850/7330] lr: 1.000e-04, eta: 8:21:28, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0305, loss_cls: 0.1510, acc: 94.3096, loss_bbox: 0.1989, loss_mask: 0.2091, loss: 0.6104 2023-11-14 23:09:24,876 - mmdet - INFO - Epoch [21][900/7330] lr: 1.000e-04, eta: 8:21:16, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0317, loss_cls: 0.1625, acc: 93.9741, loss_bbox: 0.2066, loss_mask: 0.2089, loss: 0.6318 2023-11-14 23:09:37,712 - mmdet - INFO - Epoch [21][950/7330] lr: 1.000e-04, eta: 8:21:03, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0325, loss_cls: 0.1626, acc: 94.0391, loss_bbox: 0.2005, loss_mask: 0.2067, loss: 0.6245 2023-11-14 23:09:50,513 - mmdet - INFO - Epoch [21][1000/7330] lr: 1.000e-04, eta: 8:20:50, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0317, loss_cls: 0.1617, acc: 94.0698, loss_bbox: 0.2046, loss_mask: 0.2103, loss: 0.6310 2023-11-14 23:10:03,623 - mmdet - INFO - Epoch [21][1050/7330] lr: 1.000e-04, eta: 8:20:37, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0329, loss_cls: 0.1616, acc: 94.0481, loss_bbox: 0.2075, loss_mask: 0.2112, loss: 0.6365 2023-11-14 23:10:16,619 - mmdet - INFO - Epoch [21][1100/7330] lr: 1.000e-04, eta: 8:20:24, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0308, loss_cls: 0.1542, acc: 94.3687, loss_bbox: 0.2028, loss_mask: 0.2087, loss: 0.6200 2023-11-14 23:10:29,501 - mmdet - INFO - Epoch [21][1150/7330] lr: 1.000e-04, eta: 8:20:11, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0300, loss_cls: 0.1531, acc: 94.5237, loss_bbox: 0.1929, loss_mask: 0.2076, loss: 0.6042 2023-11-14 23:10:42,369 - mmdet - INFO - Epoch [21][1200/7330] lr: 1.000e-04, eta: 8:19:58, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0305, loss_cls: 0.1545, acc: 94.3323, loss_bbox: 0.2023, loss_mask: 0.2050, loss: 0.6136 2023-11-14 23:10:55,245 - mmdet - INFO - Epoch [21][1250/7330] lr: 1.000e-04, eta: 8:19:45, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0310, loss_cls: 0.1608, acc: 94.1348, loss_bbox: 0.2047, loss_mask: 0.2082, loss: 0.6263 2023-11-14 23:11:08,103 - mmdet - INFO - Epoch [21][1300/7330] lr: 1.000e-04, eta: 8:19:32, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0262, loss_rpn_bbox: 0.0362, loss_cls: 0.1679, acc: 93.9495, loss_bbox: 0.2108, loss_mask: 0.2145, loss: 0.6556 2023-11-14 23:11:20,806 - mmdet - INFO - Epoch [21][1350/7330] lr: 1.000e-04, eta: 8:19:19, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0311, loss_cls: 0.1562, acc: 94.2742, loss_bbox: 0.2028, loss_mask: 0.2100, loss: 0.6219 2023-11-14 23:11:34,142 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:11:34,142 - mmdet - INFO - Epoch [21][1400/7330] lr: 1.000e-04, eta: 8:19:06, time: 0.267, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0318, loss_cls: 0.1578, acc: 94.2083, loss_bbox: 0.2044, loss_mask: 0.2127, loss: 0.6300 2023-11-14 23:11:47,293 - mmdet - INFO - Epoch [21][1450/7330] lr: 1.000e-04, eta: 8:18:54, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0325, loss_cls: 0.1611, acc: 94.0735, loss_bbox: 0.2076, loss_mask: 0.2062, loss: 0.6291 2023-11-14 23:12:00,410 - mmdet - INFO - Epoch [21][1500/7330] lr: 1.000e-04, eta: 8:18:41, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0345, loss_cls: 0.1642, acc: 93.9807, loss_bbox: 0.2113, loss_mask: 0.2118, loss: 0.6454 2023-11-14 23:12:13,445 - mmdet - INFO - Epoch [21][1550/7330] lr: 1.000e-04, eta: 8:18:28, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0317, loss_cls: 0.1515, acc: 94.3696, loss_bbox: 0.2018, loss_mask: 0.2061, loss: 0.6130 2023-11-14 23:12:26,185 - mmdet - INFO - Epoch [21][1600/7330] lr: 1.000e-04, eta: 8:18:15, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0309, loss_cls: 0.1577, acc: 94.2812, loss_bbox: 0.2029, loss_mask: 0.2105, loss: 0.6228 2023-11-14 23:12:39,158 - mmdet - INFO - Epoch [21][1650/7330] lr: 1.000e-04, eta: 8:18:02, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0329, loss_cls: 0.1688, acc: 93.8713, loss_bbox: 0.2158, loss_mask: 0.2123, loss: 0.6539 2023-11-14 23:12:52,122 - mmdet - INFO - Epoch [21][1700/7330] lr: 1.000e-04, eta: 8:17:49, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0289, loss_cls: 0.1506, acc: 94.4893, loss_bbox: 0.1947, loss_mask: 0.2057, loss: 0.6019 2023-11-14 23:13:05,032 - mmdet - INFO - Epoch [21][1750/7330] lr: 1.000e-04, eta: 8:17:36, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0334, loss_cls: 0.1650, acc: 93.9185, loss_bbox: 0.2078, loss_mask: 0.2106, loss: 0.6409 2023-11-14 23:13:18,028 - mmdet - INFO - Epoch [21][1800/7330] lr: 1.000e-04, eta: 8:17:23, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0310, loss_cls: 0.1611, acc: 94.2332, loss_bbox: 0.2027, loss_mask: 0.2149, loss: 0.6340 2023-11-14 23:13:31,335 - mmdet - INFO - Epoch [21][1850/7330] lr: 1.000e-04, eta: 8:17:11, time: 0.266, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0320, loss_cls: 0.1586, acc: 94.2188, loss_bbox: 0.2036, loss_mask: 0.2108, loss: 0.6281 2023-11-14 23:13:44,080 - mmdet - INFO - Epoch [21][1900/7330] lr: 1.000e-04, eta: 8:16:58, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0313, loss_cls: 0.1601, acc: 94.2329, loss_bbox: 0.2003, loss_mask: 0.2096, loss: 0.6228 2023-11-14 23:13:57,031 - mmdet - INFO - Epoch [21][1950/7330] lr: 1.000e-04, eta: 8:16:45, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0314, loss_cls: 0.1666, acc: 93.8950, loss_bbox: 0.2103, loss_mask: 0.2139, loss: 0.6417 2023-11-14 23:14:09,802 - mmdet - INFO - Epoch [21][2000/7330] lr: 1.000e-04, eta: 8:16:32, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0293, loss_cls: 0.1498, acc: 94.6465, loss_bbox: 0.1922, loss_mask: 0.2073, loss: 0.6000 2023-11-14 23:14:22,527 - mmdet - INFO - Epoch [21][2050/7330] lr: 1.000e-04, eta: 8:16:19, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0302, loss_cls: 0.1605, acc: 94.2451, loss_bbox: 0.2025, loss_mask: 0.2100, loss: 0.6258 2023-11-14 23:14:35,539 - mmdet - INFO - Epoch [21][2100/7330] lr: 1.000e-04, eta: 8:16:06, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0320, loss_cls: 0.1593, acc: 94.1833, loss_bbox: 0.1982, loss_mask: 0.2085, loss: 0.6222 2023-11-14 23:14:48,463 - mmdet - INFO - Epoch [21][2150/7330] lr: 1.000e-04, eta: 8:15:53, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0313, loss_cls: 0.1634, acc: 94.0752, loss_bbox: 0.2072, loss_mask: 0.2108, loss: 0.6352 2023-11-14 23:15:01,560 - mmdet - INFO - Epoch [21][2200/7330] lr: 1.000e-04, eta: 8:15:40, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0321, loss_cls: 0.1538, acc: 94.4084, loss_bbox: 0.1957, loss_mask: 0.2058, loss: 0.6093 2023-11-14 23:15:17,096 - mmdet - INFO - Epoch [21][2250/7330] lr: 1.000e-04, eta: 8:15:29, time: 0.311, data_time: 0.055, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0329, loss_cls: 0.1626, acc: 93.9802, loss_bbox: 0.2090, loss_mask: 0.2086, loss: 0.6350 2023-11-14 23:15:30,072 - mmdet - INFO - Epoch [21][2300/7330] lr: 1.000e-04, eta: 8:15:16, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0331, loss_cls: 0.1633, acc: 94.0381, loss_bbox: 0.2044, loss_mask: 0.2090, loss: 0.6331 2023-11-14 23:15:42,891 - mmdet - INFO - Epoch [21][2350/7330] lr: 1.000e-04, eta: 8:15:03, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0298, loss_cls: 0.1579, acc: 94.1484, loss_bbox: 0.2017, loss_mask: 0.2126, loss: 0.6217 2023-11-14 23:15:55,775 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:15:55,775 - mmdet - INFO - Epoch [21][2400/7330] lr: 1.000e-04, eta: 8:14:50, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0318, loss_cls: 0.1705, acc: 93.8181, loss_bbox: 0.2070, loss_mask: 0.2080, loss: 0.6411 2023-11-14 23:16:08,344 - mmdet - INFO - Epoch [21][2450/7330] lr: 1.000e-04, eta: 8:14:37, time: 0.251, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0317, loss_cls: 0.1637, acc: 94.1052, loss_bbox: 0.2089, loss_mask: 0.2078, loss: 0.6333 2023-11-14 23:16:21,028 - mmdet - INFO - Epoch [21][2500/7330] lr: 1.000e-04, eta: 8:14:24, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0319, loss_cls: 0.1548, acc: 94.3608, loss_bbox: 0.2042, loss_mask: 0.2080, loss: 0.6221 2023-11-14 23:16:33,993 - mmdet - INFO - Epoch [21][2550/7330] lr: 1.000e-04, eta: 8:14:11, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0313, loss_cls: 0.1548, acc: 94.3374, loss_bbox: 0.2004, loss_mask: 0.2112, loss: 0.6210 2023-11-14 23:16:46,808 - mmdet - INFO - Epoch [21][2600/7330] lr: 1.000e-04, eta: 8:13:58, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0322, loss_cls: 0.1553, acc: 94.3010, loss_bbox: 0.2016, loss_mask: 0.2077, loss: 0.6189 2023-11-14 23:16:59,912 - mmdet - INFO - Epoch [21][2650/7330] lr: 1.000e-04, eta: 8:13:45, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0331, loss_cls: 0.1590, acc: 94.2891, loss_bbox: 0.2015, loss_mask: 0.2103, loss: 0.6272 2023-11-14 23:17:12,565 - mmdet - INFO - Epoch [21][2700/7330] lr: 1.000e-04, eta: 8:13:32, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0296, loss_cls: 0.1538, acc: 94.3916, loss_bbox: 0.1981, loss_mask: 0.2059, loss: 0.6086 2023-11-14 23:17:25,471 - mmdet - INFO - Epoch [21][2750/7330] lr: 1.000e-04, eta: 8:13:19, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0327, loss_cls: 0.1636, acc: 94.0881, loss_bbox: 0.2017, loss_mask: 0.2092, loss: 0.6297 2023-11-14 23:17:38,187 - mmdet - INFO - Epoch [21][2800/7330] lr: 1.000e-04, eta: 8:13:06, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0276, loss_cls: 0.1470, acc: 94.6514, loss_bbox: 0.1896, loss_mask: 0.2041, loss: 0.5867 2023-11-14 23:17:50,799 - mmdet - INFO - Epoch [21][2850/7330] lr: 1.000e-04, eta: 8:12:53, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0293, loss_cls: 0.1607, acc: 94.1978, loss_bbox: 0.1971, loss_mask: 0.2074, loss: 0.6173 2023-11-14 23:18:03,571 - mmdet - INFO - Epoch [21][2900/7330] lr: 1.000e-04, eta: 8:12:40, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0330, loss_cls: 0.1645, acc: 94.0591, loss_bbox: 0.2058, loss_mask: 0.2123, loss: 0.6387 2023-11-14 23:18:16,446 - mmdet - INFO - Epoch [21][2950/7330] lr: 1.000e-04, eta: 8:12:27, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0308, loss_cls: 0.1574, acc: 94.2749, loss_bbox: 0.2005, loss_mask: 0.2091, loss: 0.6192 2023-11-14 23:18:29,566 - mmdet - INFO - Epoch [21][3000/7330] lr: 1.000e-04, eta: 8:12:14, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0323, loss_cls: 0.1626, acc: 94.1257, loss_bbox: 0.2049, loss_mask: 0.2107, loss: 0.6336 2023-11-14 23:18:42,055 - mmdet - INFO - Epoch [21][3050/7330] lr: 1.000e-04, eta: 8:12:01, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0310, loss_cls: 0.1595, acc: 94.1355, loss_bbox: 0.2035, loss_mask: 0.2183, loss: 0.6333 2023-11-14 23:18:55,267 - mmdet - INFO - Epoch [21][3100/7330] lr: 1.000e-04, eta: 8:11:48, time: 0.264, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0275, loss_rpn_bbox: 0.0366, loss_cls: 0.1666, acc: 93.8674, loss_bbox: 0.2114, loss_mask: 0.2117, loss: 0.6538 2023-11-14 23:19:08,350 - mmdet - INFO - Epoch [21][3150/7330] lr: 1.000e-04, eta: 8:11:36, time: 0.262, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0313, loss_cls: 0.1568, acc: 94.3459, loss_bbox: 0.1957, loss_mask: 0.2103, loss: 0.6171 2023-11-14 23:19:21,324 - mmdet - INFO - Epoch [21][3200/7330] lr: 1.000e-04, eta: 8:11:23, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0341, loss_cls: 0.1688, acc: 93.9006, loss_bbox: 0.2093, loss_mask: 0.2141, loss: 0.6515 2023-11-14 23:19:34,181 - mmdet - INFO - Epoch [21][3250/7330] lr: 1.000e-04, eta: 8:11:10, time: 0.257, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0329, loss_cls: 0.1603, acc: 94.2410, loss_bbox: 0.2011, loss_mask: 0.2084, loss: 0.6241 2023-11-14 23:19:47,164 - mmdet - INFO - Epoch [21][3300/7330] lr: 1.000e-04, eta: 8:10:57, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0332, loss_cls: 0.1605, acc: 94.1658, loss_bbox: 0.2047, loss_mask: 0.2119, loss: 0.6330 2023-11-14 23:19:59,969 - mmdet - INFO - Epoch [21][3350/7330] lr: 1.000e-04, eta: 8:10:44, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0308, loss_cls: 0.1533, acc: 94.3792, loss_bbox: 0.1976, loss_mask: 0.2074, loss: 0.6108 2023-11-14 23:20:12,559 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:20:12,559 - mmdet - INFO - Epoch [21][3400/7330] lr: 1.000e-04, eta: 8:10:31, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0312, loss_cls: 0.1569, acc: 94.3069, loss_bbox: 0.2023, loss_mask: 0.2082, loss: 0.6211 2023-11-14 23:20:25,363 - mmdet - INFO - Epoch [21][3450/7330] lr: 1.000e-04, eta: 8:10:18, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0318, loss_cls: 0.1614, acc: 94.1223, loss_bbox: 0.2052, loss_mask: 0.2134, loss: 0.6332 2023-11-14 23:20:38,260 - mmdet - INFO - Epoch [21][3500/7330] lr: 1.000e-04, eta: 8:10:05, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0343, loss_cls: 0.1659, acc: 93.9287, loss_bbox: 0.2126, loss_mask: 0.2097, loss: 0.6467 2023-11-14 23:20:50,914 - mmdet - INFO - Epoch [21][3550/7330] lr: 1.000e-04, eta: 8:09:52, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0327, loss_cls: 0.1602, acc: 94.1096, loss_bbox: 0.2084, loss_mask: 0.2123, loss: 0.6358 2023-11-14 23:21:03,855 - mmdet - INFO - Epoch [21][3600/7330] lr: 1.000e-04, eta: 8:09:39, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0309, loss_cls: 0.1603, acc: 94.1899, loss_bbox: 0.2043, loss_mask: 0.2062, loss: 0.6237 2023-11-14 23:21:16,432 - mmdet - INFO - Epoch [21][3650/7330] lr: 1.000e-04, eta: 8:09:26, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0322, loss_cls: 0.1621, acc: 94.1375, loss_bbox: 0.2042, loss_mask: 0.2155, loss: 0.6366 2023-11-14 23:21:29,092 - mmdet - INFO - Epoch [21][3700/7330] lr: 1.000e-04, eta: 8:09:12, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0325, loss_cls: 0.1533, acc: 94.3401, loss_bbox: 0.1975, loss_mask: 0.2060, loss: 0.6119 2023-11-14 23:21:41,769 - mmdet - INFO - Epoch [21][3750/7330] lr: 1.000e-04, eta: 8:08:59, time: 0.253, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0291, loss_cls: 0.1553, acc: 94.3423, loss_bbox: 0.1989, loss_mask: 0.2090, loss: 0.6141 2023-11-14 23:21:54,494 - mmdet - INFO - Epoch [21][3800/7330] lr: 1.000e-04, eta: 8:08:46, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0306, loss_cls: 0.1596, acc: 94.2283, loss_bbox: 0.2014, loss_mask: 0.2069, loss: 0.6215 2023-11-14 23:22:07,212 - mmdet - INFO - Epoch [21][3850/7330] lr: 1.000e-04, eta: 8:08:33, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0330, loss_cls: 0.1654, acc: 93.9990, loss_bbox: 0.2056, loss_mask: 0.2120, loss: 0.6401 2023-11-14 23:22:19,787 - mmdet - INFO - Epoch [21][3900/7330] lr: 1.000e-04, eta: 8:08:20, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0331, loss_cls: 0.1598, acc: 94.1453, loss_bbox: 0.2051, loss_mask: 0.2088, loss: 0.6297 2023-11-14 23:22:32,437 - mmdet - INFO - Epoch [21][3950/7330] lr: 1.000e-04, eta: 8:08:07, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0330, loss_cls: 0.1653, acc: 93.9719, loss_bbox: 0.2077, loss_mask: 0.2157, loss: 0.6449 2023-11-14 23:22:45,453 - mmdet - INFO - Epoch [21][4000/7330] lr: 1.000e-04, eta: 8:07:54, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0301, loss_cls: 0.1537, acc: 94.4109, loss_bbox: 0.1980, loss_mask: 0.2079, loss: 0.6115 2023-11-14 23:22:58,019 - mmdet - INFO - Epoch [21][4050/7330] lr: 1.000e-04, eta: 8:07:41, time: 0.251, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0309, loss_cls: 0.1597, acc: 94.1743, loss_bbox: 0.2049, loss_mask: 0.2101, loss: 0.6279 2023-11-14 23:23:10,749 - mmdet - INFO - Epoch [21][4100/7330] lr: 1.000e-04, eta: 8:07:28, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0299, loss_cls: 0.1479, acc: 94.6299, loss_bbox: 0.1896, loss_mask: 0.2036, loss: 0.5911 2023-11-14 23:23:23,430 - mmdet - INFO - Epoch [21][4150/7330] lr: 1.000e-04, eta: 8:07:15, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0310, loss_cls: 0.1522, acc: 94.3821, loss_bbox: 0.1978, loss_mask: 0.2062, loss: 0.6103 2023-11-14 23:23:36,318 - mmdet - INFO - Epoch [21][4200/7330] lr: 1.000e-04, eta: 8:07:02, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0310, loss_cls: 0.1498, acc: 94.3735, loss_bbox: 0.1996, loss_mask: 0.2086, loss: 0.6112 2023-11-14 23:23:49,060 - mmdet - INFO - Epoch [21][4250/7330] lr: 1.000e-04, eta: 8:06:49, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0319, loss_cls: 0.1616, acc: 94.0474, loss_bbox: 0.2010, loss_mask: 0.2112, loss: 0.6290 2023-11-14 23:24:02,234 - mmdet - INFO - Epoch [21][4300/7330] lr: 1.000e-04, eta: 8:06:36, time: 0.263, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0334, loss_cls: 0.1654, acc: 93.9912, loss_bbox: 0.2076, loss_mask: 0.2128, loss: 0.6421 2023-11-14 23:24:14,866 - mmdet - INFO - Epoch [21][4350/7330] lr: 1.000e-04, eta: 8:06:23, time: 0.253, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0334, loss_cls: 0.1679, acc: 93.9314, loss_bbox: 0.2093, loss_mask: 0.2146, loss: 0.6491 2023-11-14 23:24:27,503 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:24:27,503 - mmdet - INFO - Epoch [21][4400/7330] lr: 1.000e-04, eta: 8:06:10, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0321, loss_cls: 0.1627, acc: 94.0830, loss_bbox: 0.2065, loss_mask: 0.2072, loss: 0.6306 2023-11-14 23:24:40,269 - mmdet - INFO - Epoch [21][4450/7330] lr: 1.000e-04, eta: 8:05:57, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0294, loss_cls: 0.1570, acc: 94.2341, loss_bbox: 0.2028, loss_mask: 0.2085, loss: 0.6177 2023-11-14 23:24:53,207 - mmdet - INFO - Epoch [21][4500/7330] lr: 1.000e-04, eta: 8:05:44, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0310, loss_cls: 0.1637, acc: 94.1064, loss_bbox: 0.2036, loss_mask: 0.2127, loss: 0.6331 2023-11-14 23:25:06,146 - mmdet - INFO - Epoch [21][4550/7330] lr: 1.000e-04, eta: 8:05:31, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0335, loss_cls: 0.1646, acc: 94.0024, loss_bbox: 0.2132, loss_mask: 0.2130, loss: 0.6499 2023-11-14 23:25:18,913 - mmdet - INFO - Epoch [21][4600/7330] lr: 1.000e-04, eta: 8:05:18, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0327, loss_cls: 0.1632, acc: 94.1072, loss_bbox: 0.2067, loss_mask: 0.2130, loss: 0.6402 2023-11-14 23:25:31,784 - mmdet - INFO - Epoch [21][4650/7330] lr: 1.000e-04, eta: 8:05:05, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0340, loss_cls: 0.1679, acc: 93.8872, loss_bbox: 0.2165, loss_mask: 0.2161, loss: 0.6584 2023-11-14 23:25:44,482 - mmdet - INFO - Epoch [21][4700/7330] lr: 1.000e-04, eta: 8:04:52, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0342, loss_cls: 0.1688, acc: 93.8689, loss_bbox: 0.2110, loss_mask: 0.2121, loss: 0.6504 2023-11-14 23:25:57,324 - mmdet - INFO - Epoch [21][4750/7330] lr: 1.000e-04, eta: 8:04:39, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0261, loss_rpn_bbox: 0.0358, loss_cls: 0.1665, acc: 93.9282, loss_bbox: 0.2130, loss_mask: 0.2138, loss: 0.6552 2023-11-14 23:26:09,889 - mmdet - INFO - Epoch [21][4800/7330] lr: 1.000e-04, eta: 8:04:26, time: 0.251, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1636, acc: 93.9792, loss_bbox: 0.2130, loss_mask: 0.2133, loss: 0.6455 2023-11-14 23:26:22,874 - mmdet - INFO - Epoch [21][4850/7330] lr: 1.000e-04, eta: 8:04:13, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0310, loss_cls: 0.1575, acc: 94.2371, loss_bbox: 0.2008, loss_mask: 0.2081, loss: 0.6211 2023-11-14 23:26:35,671 - mmdet - INFO - Epoch [21][4900/7330] lr: 1.000e-04, eta: 8:04:00, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0320, loss_cls: 0.1551, acc: 94.3906, loss_bbox: 0.1998, loss_mask: 0.2135, loss: 0.6245 2023-11-14 23:26:48,469 - mmdet - INFO - Epoch [21][4950/7330] lr: 1.000e-04, eta: 8:03:47, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0329, loss_cls: 0.1620, acc: 94.1606, loss_bbox: 0.2000, loss_mask: 0.2089, loss: 0.6285 2023-11-14 23:27:01,269 - mmdet - INFO - Epoch [21][5000/7330] lr: 1.000e-04, eta: 8:03:34, time: 0.256, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0302, loss_cls: 0.1475, acc: 94.6494, loss_bbox: 0.1851, loss_mask: 0.2114, loss: 0.5948 2023-11-14 23:27:14,271 - mmdet - INFO - Epoch [21][5050/7330] lr: 1.000e-04, eta: 8:03:21, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0308, loss_cls: 0.1484, acc: 94.5557, loss_bbox: 0.1891, loss_mask: 0.2096, loss: 0.6018 2023-11-14 23:27:26,974 - mmdet - INFO - Epoch [21][5100/7330] lr: 1.000e-04, eta: 8:03:08, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0343, loss_cls: 0.1663, acc: 93.9888, loss_bbox: 0.2075, loss_mask: 0.2169, loss: 0.6486 2023-11-14 23:27:39,759 - mmdet - INFO - Epoch [21][5150/7330] lr: 1.000e-04, eta: 8:02:55, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0310, loss_cls: 0.1569, acc: 94.3264, loss_bbox: 0.1980, loss_mask: 0.2104, loss: 0.6182 2023-11-14 23:27:52,597 - mmdet - INFO - Epoch [21][5200/7330] lr: 1.000e-04, eta: 8:02:42, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0304, loss_cls: 0.1562, acc: 94.1875, loss_bbox: 0.2039, loss_mask: 0.2169, loss: 0.6289 2023-11-14 23:28:05,385 - mmdet - INFO - Epoch [21][5250/7330] lr: 1.000e-04, eta: 8:02:29, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0296, loss_cls: 0.1583, acc: 94.4082, loss_bbox: 0.1991, loss_mask: 0.2109, loss: 0.6173 2023-11-14 23:28:18,335 - mmdet - INFO - Epoch [21][5300/7330] lr: 1.000e-04, eta: 8:02:16, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0338, loss_cls: 0.1681, acc: 93.8574, loss_bbox: 0.2113, loss_mask: 0.2130, loss: 0.6513 2023-11-14 23:28:31,376 - mmdet - INFO - Epoch [21][5350/7330] lr: 1.000e-04, eta: 8:02:03, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0324, loss_cls: 0.1586, acc: 94.1445, loss_bbox: 0.2038, loss_mask: 0.2049, loss: 0.6220 2023-11-14 23:28:44,228 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:28:44,228 - mmdet - INFO - Epoch [21][5400/7330] lr: 1.000e-04, eta: 8:01:50, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0325, loss_cls: 0.1641, acc: 94.0195, loss_bbox: 0.2080, loss_mask: 0.2130, loss: 0.6397 2023-11-14 23:28:56,671 - mmdet - INFO - Epoch [21][5450/7330] lr: 1.000e-04, eta: 8:01:37, time: 0.249, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0321, loss_cls: 0.1623, acc: 94.1091, loss_bbox: 0.2027, loss_mask: 0.2107, loss: 0.6323 2023-11-14 23:29:09,451 - mmdet - INFO - Epoch [21][5500/7330] lr: 1.000e-04, eta: 8:01:24, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0336, loss_cls: 0.1713, acc: 93.7642, loss_bbox: 0.2158, loss_mask: 0.2165, loss: 0.6615 2023-11-14 23:29:22,570 - mmdet - INFO - Epoch [21][5550/7330] lr: 1.000e-04, eta: 8:01:11, time: 0.262, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0319, loss_cls: 0.1575, acc: 94.2214, loss_bbox: 0.2011, loss_mask: 0.2147, loss: 0.6273 2023-11-14 23:29:35,766 - mmdet - INFO - Epoch [21][5600/7330] lr: 1.000e-04, eta: 8:00:58, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0338, loss_cls: 0.1680, acc: 93.9944, loss_bbox: 0.2115, loss_mask: 0.2132, loss: 0.6503 2023-11-14 23:29:48,380 - mmdet - INFO - Epoch [21][5650/7330] lr: 1.000e-04, eta: 8:00:45, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0309, loss_cls: 0.1545, acc: 94.3311, loss_bbox: 0.1995, loss_mask: 0.2112, loss: 0.6160 2023-11-14 23:30:01,515 - mmdet - INFO - Epoch [21][5700/7330] lr: 1.000e-04, eta: 8:00:32, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0324, loss_cls: 0.1722, acc: 93.8103, loss_bbox: 0.2107, loss_mask: 0.2135, loss: 0.6525 2023-11-14 23:30:14,724 - mmdet - INFO - Epoch [21][5750/7330] lr: 1.000e-04, eta: 8:00:20, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0311, loss_cls: 0.1603, acc: 94.1543, loss_bbox: 0.1985, loss_mask: 0.2147, loss: 0.6271 2023-11-14 23:30:27,445 - mmdet - INFO - Epoch [21][5800/7330] lr: 1.000e-04, eta: 8:00:07, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0320, loss_cls: 0.1708, acc: 93.8982, loss_bbox: 0.2106, loss_mask: 0.2151, loss: 0.6520 2023-11-14 23:30:40,104 - mmdet - INFO - Epoch [21][5850/7330] lr: 1.000e-04, eta: 7:59:53, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0333, loss_cls: 0.1675, acc: 93.8464, loss_bbox: 0.2123, loss_mask: 0.2172, loss: 0.6546 2023-11-14 23:30:52,959 - mmdet - INFO - Epoch [21][5900/7330] lr: 1.000e-04, eta: 7:59:40, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0326, loss_cls: 0.1628, acc: 94.0410, loss_bbox: 0.1978, loss_mask: 0.2104, loss: 0.6261 2023-11-14 23:31:05,658 - mmdet - INFO - Epoch [21][5950/7330] lr: 1.000e-04, eta: 7:59:27, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0315, loss_cls: 0.1606, acc: 94.2566, loss_bbox: 0.1992, loss_mask: 0.2068, loss: 0.6227 2023-11-14 23:31:18,276 - mmdet - INFO - Epoch [21][6000/7330] lr: 1.000e-04, eta: 7:59:14, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0321, loss_cls: 0.1682, acc: 93.9265, loss_bbox: 0.2092, loss_mask: 0.2149, loss: 0.6482 2023-11-14 23:31:31,125 - mmdet - INFO - Epoch [21][6050/7330] lr: 1.000e-04, eta: 7:59:01, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0339, loss_cls: 0.1641, acc: 94.0444, loss_bbox: 0.2075, loss_mask: 0.2162, loss: 0.6459 2023-11-14 23:31:43,947 - mmdet - INFO - Epoch [21][6100/7330] lr: 1.000e-04, eta: 7:58:48, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0324, loss_cls: 0.1688, acc: 93.8201, loss_bbox: 0.2139, loss_mask: 0.2158, loss: 0.6547 2023-11-14 23:31:56,958 - mmdet - INFO - Epoch [21][6150/7330] lr: 1.000e-04, eta: 7:58:35, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0327, loss_cls: 0.1624, acc: 94.0698, loss_bbox: 0.2078, loss_mask: 0.2137, loss: 0.6415 2023-11-14 23:32:09,682 - mmdet - INFO - Epoch [21][6200/7330] lr: 1.000e-04, eta: 7:58:22, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0313, loss_cls: 0.1626, acc: 94.1165, loss_bbox: 0.2065, loss_mask: 0.2094, loss: 0.6335 2023-11-14 23:32:22,468 - mmdet - INFO - Epoch [21][6250/7330] lr: 1.000e-04, eta: 7:58:09, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0329, loss_cls: 0.1645, acc: 93.8970, loss_bbox: 0.2094, loss_mask: 0.2144, loss: 0.6453 2023-11-14 23:32:34,980 - mmdet - INFO - Epoch [21][6300/7330] lr: 1.000e-04, eta: 7:57:56, time: 0.250, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0315, loss_cls: 0.1659, acc: 94.0139, loss_bbox: 0.2120, loss_mask: 0.2169, loss: 0.6514 2023-11-14 23:32:47,799 - mmdet - INFO - Epoch [21][6350/7330] lr: 1.000e-04, eta: 7:57:43, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0299, loss_cls: 0.1556, acc: 94.4377, loss_bbox: 0.1988, loss_mask: 0.2158, loss: 0.6211 2023-11-14 23:33:00,635 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:33:00,636 - mmdet - INFO - Epoch [21][6400/7330] lr: 1.000e-04, eta: 7:57:30, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0321, loss_cls: 0.1581, acc: 94.2466, loss_bbox: 0.1978, loss_mask: 0.2098, loss: 0.6222 2023-11-14 23:33:13,509 - mmdet - INFO - Epoch [21][6450/7330] lr: 1.000e-04, eta: 7:57:17, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0324, loss_cls: 0.1693, acc: 93.8643, loss_bbox: 0.2112, loss_mask: 0.2175, loss: 0.6540 2023-11-14 23:33:26,462 - mmdet - INFO - Epoch [21][6500/7330] lr: 1.000e-04, eta: 7:57:04, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0353, loss_cls: 0.1655, acc: 93.9250, loss_bbox: 0.2110, loss_mask: 0.2090, loss: 0.6455 2023-11-14 23:33:39,494 - mmdet - INFO - Epoch [21][6550/7330] lr: 1.000e-04, eta: 7:56:51, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0328, loss_cls: 0.1694, acc: 93.8286, loss_bbox: 0.2113, loss_mask: 0.2138, loss: 0.6498 2023-11-14 23:33:52,186 - mmdet - INFO - Epoch [21][6600/7330] lr: 1.000e-04, eta: 7:56:38, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0270, loss_rpn_bbox: 0.0334, loss_cls: 0.1685, acc: 93.9453, loss_bbox: 0.2122, loss_mask: 0.2180, loss: 0.6591 2023-11-14 23:34:04,998 - mmdet - INFO - Epoch [21][6650/7330] lr: 1.000e-04, eta: 7:56:25, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0334, loss_cls: 0.1629, acc: 94.0330, loss_bbox: 0.2115, loss_mask: 0.2176, loss: 0.6491 2023-11-14 23:34:17,730 - mmdet - INFO - Epoch [21][6700/7330] lr: 1.000e-04, eta: 7:56:12, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0328, loss_cls: 0.1622, acc: 94.0271, loss_bbox: 0.2015, loss_mask: 0.2164, loss: 0.6364 2023-11-14 23:34:30,582 - mmdet - INFO - Epoch [21][6750/7330] lr: 1.000e-04, eta: 7:55:59, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0328, loss_cls: 0.1624, acc: 94.0312, loss_bbox: 0.2067, loss_mask: 0.2120, loss: 0.6369 2023-11-14 23:34:43,330 - mmdet - INFO - Epoch [21][6800/7330] lr: 1.000e-04, eta: 7:55:46, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0328, loss_cls: 0.1629, acc: 94.0889, loss_bbox: 0.2055, loss_mask: 0.2124, loss: 0.6369 2023-11-14 23:34:56,271 - mmdet - INFO - Epoch [21][6850/7330] lr: 1.000e-04, eta: 7:55:33, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0327, loss_cls: 0.1627, acc: 94.1187, loss_bbox: 0.2070, loss_mask: 0.2160, loss: 0.6414 2023-11-14 23:35:09,036 - mmdet - INFO - Epoch [21][6900/7330] lr: 1.000e-04, eta: 7:55:20, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0307, loss_cls: 0.1538, acc: 94.3916, loss_bbox: 0.1974, loss_mask: 0.2095, loss: 0.6123 2023-11-14 23:35:21,459 - mmdet - INFO - Epoch [21][6950/7330] lr: 1.000e-04, eta: 7:55:07, time: 0.248, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0322, loss_cls: 0.1573, acc: 94.1938, loss_bbox: 0.1984, loss_mask: 0.2116, loss: 0.6220 2023-11-14 23:35:36,779 - mmdet - INFO - Epoch [21][7000/7330] lr: 1.000e-04, eta: 7:54:56, time: 0.306, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0328, loss_cls: 0.1653, acc: 94.0408, loss_bbox: 0.2093, loss_mask: 0.2136, loss: 0.6441 2023-11-14 23:35:49,301 - mmdet - INFO - Epoch [21][7050/7330] lr: 1.000e-04, eta: 7:54:43, time: 0.250, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0297, loss_cls: 0.1595, acc: 94.1445, loss_bbox: 0.2020, loss_mask: 0.2122, loss: 0.6238 2023-11-14 23:36:01,950 - mmdet - INFO - Epoch [21][7100/7330] lr: 1.000e-04, eta: 7:54:30, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0338, loss_cls: 0.1597, acc: 94.1633, loss_bbox: 0.2064, loss_mask: 0.2184, loss: 0.6421 2023-11-14 23:36:14,655 - mmdet - INFO - Epoch [21][7150/7330] lr: 1.000e-04, eta: 7:54:17, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0314, loss_cls: 0.1632, acc: 94.1753, loss_bbox: 0.2015, loss_mask: 0.2077, loss: 0.6287 2023-11-14 23:36:27,294 - mmdet - INFO - Epoch [21][7200/7330] lr: 1.000e-04, eta: 7:54:03, time: 0.253, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0306, loss_cls: 0.1658, acc: 94.0728, loss_bbox: 0.2050, loss_mask: 0.2134, loss: 0.6375 2023-11-14 23:36:40,203 - mmdet - INFO - Epoch [21][7250/7330] lr: 1.000e-04, eta: 7:53:50, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0328, loss_cls: 0.1624, acc: 94.0581, loss_bbox: 0.2064, loss_mask: 0.2126, loss: 0.6373 2023-11-14 23:36:53,055 - mmdet - INFO - Epoch [21][7300/7330] lr: 1.000e-04, eta: 7:53:38, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0328, loss_cls: 0.1687, acc: 93.9475, loss_bbox: 0.2092, loss_mask: 0.2153, loss: 0.6502 2023-11-14 23:37:01,232 - mmdet - INFO - Saving checkpoint at 21 epochs 2023-11-14 23:37:46,792 - mmdet - INFO - Evaluating bbox... 2023-11-14 23:38:15,736 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.467 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.686 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.512 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.306 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.510 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.600 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.596 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.596 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.596 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.429 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.640 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.734 2023-11-14 23:38:15,739 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.572 | bicycle | 0.362 | car | 0.500 | | motorcycle | 0.479 | airplane | 0.696 | bus | 0.673 | | train | 0.660 | truck | 0.392 | boat | 0.330 | | traffic light | 0.296 | fire hydrant | 0.708 | stop sign | 0.663 | | parking meter | 0.503 | bench | 0.278 | bird | 0.407 | | cat | 0.703 | dog | 0.673 | horse | 0.612 | | sheep | 0.557 | cow | 0.610 | elephant | 0.676 | | bear | 0.775 | zebra | 0.678 | giraffe | 0.690 | | backpack | 0.197 | umbrella | 0.450 | handbag | 0.226 | | tie | 0.386 | suitcase | 0.441 | frisbee | 0.687 | | skis | 0.285 | snowboard | 0.410 | sports ball | 0.474 | | kite | 0.458 | baseball bat | 0.386 | baseball glove | 0.435 | | skateboard | 0.567 | surfboard | 0.446 | tennis racket | 0.545 | | bottle | 0.454 | wine glass | 0.406 | cup | 0.486 | | fork | 0.439 | knife | 0.254 | spoon | 0.269 | | bowl | 0.453 | banana | 0.308 | apple | 0.253 | | sandwich | 0.409 | orange | 0.330 | broccoli | 0.246 | | carrot | 0.239 | hot dog | 0.449 | pizza | 0.553 | | donut | 0.526 | cake | 0.440 | chair | 0.351 | | couch | 0.489 | potted plant | 0.318 | bed | 0.463 | | dining table | 0.322 | toilet | 0.657 | tv | 0.618 | | laptop | 0.664 | mouse | 0.655 | remote | 0.424 | | keyboard | 0.546 | cell phone | 0.419 | microwave | 0.607 | | oven | 0.412 | toaster | 0.458 | sink | 0.423 | | refrigerator | 0.641 | book | 0.198 | clock | 0.519 | | vase | 0.414 | scissors | 0.351 | teddy bear | 0.511 | | hair drier | 0.152 | toothbrush | 0.324 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 23:38:15,739 - mmdet - INFO - Evaluating segm... 2023-11-14 23:38:48,220 - 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 ] = 0.656 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.450 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.228 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.456 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 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.365 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 ] = 0.695 2023-11-14 23:38:48,223 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.500 | bicycle | 0.215 | car | 0.458 | | motorcycle | 0.387 | airplane | 0.543 | bus | 0.669 | | train | 0.655 | truck | 0.387 | boat | 0.295 | | traffic light | 0.289 | fire hydrant | 0.671 | stop sign | 0.655 | | parking meter | 0.518 | bench | 0.208 | bird | 0.333 | | cat | 0.703 | dog | 0.638 | horse | 0.449 | | sheep | 0.481 | cow | 0.526 | elephant | 0.605 | | bear | 0.748 | zebra | 0.583 | giraffe | 0.549 | | backpack | 0.197 | umbrella | 0.507 | handbag | 0.208 | | tie | 0.351 | suitcase | 0.461 | frisbee | 0.637 | | skis | 0.052 | snowboard | 0.258 | sports ball | 0.444 | | kite | 0.332 | baseball bat | 0.297 | baseball glove | 0.450 | | skateboard | 0.347 | surfboard | 0.371 | tennis racket | 0.589 | | bottle | 0.429 | wine glass | 0.371 | cup | 0.493 | | fork | 0.234 | knife | 0.174 | spoon | 0.193 | | bowl | 0.422 | banana | 0.252 | apple | 0.246 | | sandwich | 0.439 | orange | 0.332 | broccoli | 0.233 | | carrot | 0.210 | hot dog | 0.363 | pizza | 0.531 | | donut | 0.532 | cake | 0.448 | chair | 0.240 | | couch | 0.405 | potted plant | 0.273 | bed | 0.359 | | dining table | 0.184 | toilet | 0.630 | tv | 0.650 | | laptop | 0.669 | mouse | 0.634 | remote | 0.370 | | keyboard | 0.530 | cell phone | 0.394 | microwave | 0.636 | | oven | 0.376 | toaster | 0.527 | sink | 0.403 | | refrigerator | 0.636 | book | 0.143 | clock | 0.530 | | vase | 0.411 | scissors | 0.228 | teddy bear | 0.495 | | hair drier | 0.117 | toothbrush | 0.191 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-14 23:38:48,660 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-14 23:38:48,662 - mmdet - INFO - Epoch(val) [21][625] bbox_mAP: 0.4667, bbox_mAP_50: 0.6863, bbox_mAP_75: 0.5124, bbox_mAP_s: 0.3059, bbox_mAP_m: 0.5095, bbox_mAP_l: 0.6003, bbox_mAP_copypaste: 0.4667 0.6863 0.5124 0.3059 0.5095 0.6003, segm_mAP: 0.4188, segm_mAP_50: 0.6564, segm_mAP_75: 0.4501, segm_mAP_s: 0.2277, segm_mAP_m: 0.4564, segm_mAP_l: 0.6036, segm_mAP_copypaste: 0.4188 0.6564 0.4501 0.2277 0.4564 0.6036 2023-11-14 23:39:07,269 - mmdet - INFO - Epoch [22][50/7330] lr: 1.000e-04, eta: 7:53:15, time: 0.372, data_time: 0.119, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0346, loss_cls: 0.1593, acc: 94.1917, loss_bbox: 0.2096, loss_mask: 0.2143, loss: 0.6412 2023-11-14 23:39:20,277 - mmdet - INFO - Epoch [22][100/7330] lr: 1.000e-04, eta: 7:53:02, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0308, loss_cls: 0.1550, acc: 94.3315, loss_bbox: 0.2054, loss_mask: 0.2087, loss: 0.6210 2023-11-14 23:39:33,448 - mmdet - INFO - Epoch [22][150/7330] lr: 1.000e-04, eta: 7:52:50, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0324, loss_cls: 0.1635, acc: 93.9312, loss_bbox: 0.2080, loss_mask: 0.2114, loss: 0.6385 2023-11-14 23:39:46,519 - mmdet - INFO - Epoch [22][200/7330] lr: 1.000e-04, eta: 7:52:37, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0324, loss_cls: 0.1569, acc: 94.2061, loss_bbox: 0.2035, loss_mask: 0.2088, loss: 0.6222 2023-11-14 23:39:59,426 - mmdet - INFO - Epoch [22][250/7330] lr: 1.000e-04, eta: 7:52:24, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0327, loss_cls: 0.1610, acc: 94.2273, loss_bbox: 0.2063, loss_mask: 0.2128, loss: 0.6363 2023-11-14 23:40:12,566 - mmdet - INFO - Epoch [22][300/7330] lr: 1.000e-04, eta: 7:52:11, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0328, loss_cls: 0.1580, acc: 94.1880, loss_bbox: 0.2073, loss_mask: 0.2125, loss: 0.6343 2023-11-14 23:40:25,714 - mmdet - INFO - Epoch [22][350/7330] lr: 1.000e-04, eta: 7:51:58, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0319, loss_cls: 0.1590, acc: 94.2214, loss_bbox: 0.2025, loss_mask: 0.2073, loss: 0.6230 2023-11-14 23:40:38,674 - mmdet - INFO - Epoch [22][400/7330] lr: 1.000e-04, eta: 7:51:46, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0362, loss_cls: 0.1667, acc: 93.8533, loss_bbox: 0.2145, loss_mask: 0.2172, loss: 0.6575 2023-11-14 23:40:51,869 - mmdet - INFO - Epoch [22][450/7330] lr: 1.000e-04, eta: 7:51:33, time: 0.264, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0308, loss_cls: 0.1510, acc: 94.5002, loss_bbox: 0.1929, loss_mask: 0.2058, loss: 0.6014 2023-11-14 23:41:05,008 - mmdet - INFO - Epoch [22][500/7330] lr: 1.000e-04, eta: 7:51:20, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0316, loss_cls: 0.1535, acc: 94.3481, loss_bbox: 0.1991, loss_mask: 0.2076, loss: 0.6122 2023-11-14 23:41:18,251 - mmdet - INFO - Epoch [22][550/7330] lr: 1.000e-04, eta: 7:51:07, time: 0.265, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0329, loss_cls: 0.1623, acc: 94.0405, loss_bbox: 0.2088, loss_mask: 0.2133, loss: 0.6404 2023-11-14 23:41:31,480 - mmdet - INFO - Epoch [22][600/7330] lr: 1.000e-04, eta: 7:50:55, time: 0.265, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0315, loss_cls: 0.1547, acc: 94.3611, loss_bbox: 0.1996, loss_mask: 0.2080, loss: 0.6148 2023-11-14 23:41:44,366 - mmdet - INFO - Epoch [22][650/7330] lr: 1.000e-04, eta: 7:50:42, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0308, loss_cls: 0.1586, acc: 94.2944, loss_bbox: 0.2058, loss_mask: 0.2116, loss: 0.6289 2023-11-14 23:41:57,035 - mmdet - INFO - Epoch [22][700/7330] lr: 1.000e-04, eta: 7:50:29, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0289, loss_cls: 0.1569, acc: 94.2637, loss_bbox: 0.1987, loss_mask: 0.2092, loss: 0.6135 2023-11-14 23:42:09,965 - mmdet - INFO - Epoch [22][750/7330] lr: 1.000e-04, eta: 7:50:16, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0255, loss_rpn_bbox: 0.0312, loss_cls: 0.1582, acc: 94.2429, loss_bbox: 0.2014, loss_mask: 0.2084, loss: 0.6248 2023-11-14 23:42:23,193 - mmdet - INFO - Epoch [22][800/7330] lr: 1.000e-04, eta: 7:50:03, time: 0.265, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0356, loss_cls: 0.1648, acc: 93.9104, loss_bbox: 0.2150, loss_mask: 0.2174, loss: 0.6568 2023-11-14 23:42:36,412 - mmdet - INFO - Epoch [22][850/7330] lr: 1.000e-04, eta: 7:49:50, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0317, loss_cls: 0.1541, acc: 94.4102, loss_bbox: 0.1969, loss_mask: 0.2083, loss: 0.6133 2023-11-14 23:42:49,415 - mmdet - INFO - Epoch [22][900/7330] lr: 1.000e-04, eta: 7:49:37, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0338, loss_cls: 0.1544, acc: 94.3892, loss_bbox: 0.2003, loss_mask: 0.2117, loss: 0.6223 2023-11-14 23:43:02,401 - mmdet - INFO - Epoch [22][950/7330] lr: 1.000e-04, eta: 7:49:25, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0327, loss_cls: 0.1589, acc: 94.1387, loss_bbox: 0.2104, loss_mask: 0.2135, loss: 0.6377 2023-11-14 23:43:15,270 - mmdet - INFO - Epoch [22][1000/7330] lr: 1.000e-04, eta: 7:49:12, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0311, loss_cls: 0.1556, acc: 94.2771, loss_bbox: 0.2024, loss_mask: 0.2090, loss: 0.6189 2023-11-14 23:43:28,096 - mmdet - INFO - Epoch [22][1050/7330] lr: 1.000e-04, eta: 7:48:59, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0318, loss_cls: 0.1548, acc: 94.3252, loss_bbox: 0.2017, loss_mask: 0.2127, loss: 0.6218 2023-11-14 23:43:41,261 - mmdet - INFO - Epoch [22][1100/7330] lr: 1.000e-04, eta: 7:48:46, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0308, loss_cls: 0.1594, acc: 94.1980, loss_bbox: 0.1996, loss_mask: 0.2088, loss: 0.6217 2023-11-14 23:43:54,248 - mmdet - INFO - Epoch [22][1150/7330] lr: 1.000e-04, eta: 7:48:33, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0306, loss_cls: 0.1495, acc: 94.5603, loss_bbox: 0.1937, loss_mask: 0.2093, loss: 0.6043 2023-11-14 23:44:07,249 - mmdet - INFO - Epoch [22][1200/7330] lr: 1.000e-04, eta: 7:48:20, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0315, loss_cls: 0.1604, acc: 94.2100, loss_bbox: 0.1978, loss_mask: 0.2074, loss: 0.6185 2023-11-14 23:44:20,290 - mmdet - INFO - Epoch [22][1250/7330] lr: 1.000e-04, eta: 7:48:07, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0311, loss_cls: 0.1559, acc: 94.2646, loss_bbox: 0.2036, loss_mask: 0.2159, loss: 0.6287 2023-11-14 23:44:33,303 - mmdet - INFO - Epoch [22][1300/7330] lr: 1.000e-04, eta: 7:47:55, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0319, loss_cls: 0.1562, acc: 94.3069, loss_bbox: 0.2018, loss_mask: 0.2070, loss: 0.6179 2023-11-14 23:44:46,180 - mmdet - INFO - Epoch [22][1350/7330] lr: 1.000e-04, eta: 7:47:42, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0299, loss_cls: 0.1517, acc: 94.4126, loss_bbox: 0.1944, loss_mask: 0.2078, loss: 0.6029 2023-11-14 23:44:59,037 - mmdet - INFO - Epoch [22][1400/7330] lr: 1.000e-04, eta: 7:47:29, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0314, loss_cls: 0.1612, acc: 94.1287, loss_bbox: 0.2017, loss_mask: 0.2051, loss: 0.6219 2023-11-14 23:45:11,893 - mmdet - INFO - Epoch [22][1450/7330] lr: 1.000e-04, eta: 7:47:16, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0300, loss_cls: 0.1541, acc: 94.3289, loss_bbox: 0.1974, loss_mask: 0.2127, loss: 0.6145 2023-11-14 23:45:24,876 - mmdet - INFO - Epoch [22][1500/7330] lr: 1.000e-04, eta: 7:47:03, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0295, loss_cls: 0.1548, acc: 94.3247, loss_bbox: 0.2034, loss_mask: 0.2111, loss: 0.6188 2023-11-14 23:45:37,766 - mmdet - INFO - Epoch [22][1550/7330] lr: 1.000e-04, eta: 7:46:50, time: 0.258, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0314, loss_cls: 0.1597, acc: 94.2227, loss_bbox: 0.2060, loss_mask: 0.2126, loss: 0.6334 2023-11-14 23:45:50,725 - mmdet - INFO - Epoch [22][1600/7330] lr: 1.000e-04, eta: 7:46:37, time: 0.259, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0300, loss_cls: 0.1495, acc: 94.4890, loss_bbox: 0.1911, loss_mask: 0.2015, loss: 0.5943 2023-11-14 23:46:03,418 - mmdet - INFO - Epoch [22][1650/7330] lr: 1.000e-04, eta: 7:46:24, time: 0.254, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0334, loss_cls: 0.1648, acc: 93.9399, loss_bbox: 0.2114, loss_mask: 0.2146, loss: 0.6486 2023-11-14 23:46:16,207 - mmdet - INFO - Epoch [22][1700/7330] lr: 1.000e-04, eta: 7:46:11, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0307, loss_cls: 0.1604, acc: 94.2249, loss_bbox: 0.2025, loss_mask: 0.2024, loss: 0.6197 2023-11-14 23:46:29,369 - mmdet - INFO - Epoch [22][1750/7330] lr: 1.000e-04, eta: 7:45:58, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0333, loss_cls: 0.1607, acc: 94.1836, loss_bbox: 0.2003, loss_mask: 0.2110, loss: 0.6272 2023-11-14 23:46:42,101 - mmdet - INFO - Epoch [22][1800/7330] lr: 1.000e-04, eta: 7:45:45, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0303, loss_cls: 0.1584, acc: 94.2380, loss_bbox: 0.2015, loss_mask: 0.2119, loss: 0.6243 2023-11-14 23:46:55,202 - mmdet - INFO - Epoch [22][1850/7330] lr: 1.000e-04, eta: 7:45:32, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0324, loss_cls: 0.1609, acc: 94.2573, loss_bbox: 0.1985, loss_mask: 0.2085, loss: 0.6199 2023-11-14 23:47:08,080 - mmdet - INFO - Epoch [22][1900/7330] lr: 1.000e-04, eta: 7:45:19, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0301, loss_cls: 0.1559, acc: 94.2544, loss_bbox: 0.2028, loss_mask: 0.2156, loss: 0.6243 2023-11-14 23:47:20,971 - mmdet - INFO - Epoch [22][1950/7330] lr: 1.000e-04, eta: 7:45:06, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0305, loss_cls: 0.1559, acc: 94.3896, loss_bbox: 0.1920, loss_mask: 0.2058, loss: 0.6034 2023-11-14 23:47:33,853 - mmdet - INFO - Epoch [22][2000/7330] lr: 1.000e-04, eta: 7:44:53, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0322, loss_cls: 0.1598, acc: 94.2136, loss_bbox: 0.2032, loss_mask: 0.2102, loss: 0.6277 2023-11-14 23:47:46,662 - mmdet - INFO - Epoch [22][2050/7330] lr: 1.000e-04, eta: 7:44:40, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0309, loss_cls: 0.1548, acc: 94.3826, loss_bbox: 0.1996, loss_mask: 0.2063, loss: 0.6135 2023-11-14 23:47:59,796 - mmdet - INFO - Epoch [22][2100/7330] lr: 1.000e-04, eta: 7:44:28, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0292, loss_cls: 0.1504, acc: 94.5151, loss_bbox: 0.1944, loss_mask: 0.2011, loss: 0.5949 2023-11-14 23:48:12,621 - mmdet - INFO - Epoch [22][2150/7330] lr: 1.000e-04, eta: 7:44:15, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0336, loss_cls: 0.1650, acc: 93.9180, loss_bbox: 0.2048, loss_mask: 0.2120, loss: 0.6362 2023-11-14 23:48:25,440 - mmdet - INFO - Epoch [22][2200/7330] lr: 1.000e-04, eta: 7:44:02, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0325, loss_cls: 0.1644, acc: 93.8835, loss_bbox: 0.2084, loss_mask: 0.2120, loss: 0.6386 2023-11-14 23:48:38,324 - mmdet - INFO - Epoch [22][2250/7330] lr: 1.000e-04, eta: 7:43:49, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0304, loss_cls: 0.1570, acc: 94.1675, loss_bbox: 0.1991, loss_mask: 0.2113, loss: 0.6190 2023-11-14 23:48:51,039 - mmdet - INFO - Epoch [22][2300/7330] lr: 1.000e-04, eta: 7:43:36, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0319, loss_cls: 0.1643, acc: 94.1421, loss_bbox: 0.2034, loss_mask: 0.2065, loss: 0.6292 2023-11-14 23:49:03,638 - mmdet - INFO - Epoch [22][2350/7330] lr: 1.000e-04, eta: 7:43:23, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0319, loss_cls: 0.1546, acc: 94.3496, loss_bbox: 0.1971, loss_mask: 0.2096, loss: 0.6163 2023-11-14 23:49:16,646 - mmdet - INFO - Epoch [22][2400/7330] lr: 1.000e-04, eta: 7:43:10, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0324, loss_cls: 0.1600, acc: 94.1189, loss_bbox: 0.2018, loss_mask: 0.2127, loss: 0.6298 2023-11-14 23:49:29,540 - mmdet - INFO - Epoch [22][2450/7330] lr: 1.000e-04, eta: 7:42:57, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0339, loss_cls: 0.1673, acc: 93.8625, loss_bbox: 0.2132, loss_mask: 0.2171, loss: 0.6553 2023-11-14 23:49:42,539 - mmdet - INFO - Epoch [22][2500/7330] lr: 1.000e-04, eta: 7:42:44, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0323, loss_cls: 0.1623, acc: 94.0842, loss_bbox: 0.2048, loss_mask: 0.2104, loss: 0.6318 2023-11-14 23:49:55,389 - mmdet - INFO - Epoch [22][2550/7330] lr: 1.000e-04, eta: 7:42:31, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0330, loss_cls: 0.1654, acc: 93.9106, loss_bbox: 0.2096, loss_mask: 0.2162, loss: 0.6467 2023-11-14 23:50:08,509 - mmdet - INFO - Epoch [22][2600/7330] lr: 1.000e-04, eta: 7:42:18, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0337, loss_cls: 0.1664, acc: 93.9316, loss_bbox: 0.2109, loss_mask: 0.2089, loss: 0.6421 2023-11-14 23:50:21,571 - mmdet - INFO - Epoch [22][2650/7330] lr: 1.000e-04, eta: 7:42:05, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0328, loss_cls: 0.1606, acc: 94.0681, loss_bbox: 0.2100, loss_mask: 0.2112, loss: 0.6369 2023-11-14 23:50:34,434 - mmdet - INFO - Epoch [22][2700/7330] lr: 1.000e-04, eta: 7:41:52, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0327, loss_cls: 0.1643, acc: 93.9431, loss_bbox: 0.2093, loss_mask: 0.2147, loss: 0.6413 2023-11-14 23:50:47,503 - mmdet - INFO - Epoch [22][2750/7330] lr: 1.000e-04, eta: 7:41:39, time: 0.261, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0320, loss_cls: 0.1572, acc: 94.2698, loss_bbox: 0.2004, loss_mask: 0.2094, loss: 0.6221 2023-11-14 23:51:00,315 - mmdet - INFO - Epoch [22][2800/7330] lr: 1.000e-04, eta: 7:41:26, time: 0.256, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0317, loss_cls: 0.1551, acc: 94.2866, loss_bbox: 0.1990, loss_mask: 0.2074, loss: 0.6162 2023-11-14 23:51:13,216 - mmdet - INFO - Epoch [22][2850/7330] lr: 1.000e-04, eta: 7:41:14, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0331, loss_cls: 0.1581, acc: 94.1399, loss_bbox: 0.2046, loss_mask: 0.2103, loss: 0.6291 2023-11-14 23:51:26,001 - mmdet - INFO - Epoch [22][2900/7330] lr: 1.000e-04, eta: 7:41:01, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0300, loss_cls: 0.1543, acc: 94.3557, loss_bbox: 0.1964, loss_mask: 0.2070, loss: 0.6102 2023-11-14 23:51:39,418 - mmdet - INFO - Epoch [22][2950/7330] lr: 1.000e-04, eta: 7:40:48, time: 0.268, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0338, loss_cls: 0.1640, acc: 93.9670, loss_bbox: 0.2062, loss_mask: 0.2120, loss: 0.6386 2023-11-14 23:51:52,494 - mmdet - INFO - Epoch [22][3000/7330] lr: 1.000e-04, eta: 7:40:35, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0335, loss_cls: 0.1653, acc: 94.0151, loss_bbox: 0.2053, loss_mask: 0.2114, loss: 0.6388 2023-11-14 23:52:05,174 - mmdet - INFO - Epoch [22][3050/7330] lr: 1.000e-04, eta: 7:40:22, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0304, loss_cls: 0.1498, acc: 94.5024, loss_bbox: 0.1963, loss_mask: 0.2070, loss: 0.6045 2023-11-14 23:52:18,052 - mmdet - INFO - Epoch [22][3100/7330] lr: 1.000e-04, eta: 7:40:09, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0332, loss_cls: 0.1585, acc: 94.1851, loss_bbox: 0.2030, loss_mask: 0.2103, loss: 0.6274 2023-11-14 23:52:31,026 - mmdet - INFO - Epoch [22][3150/7330] lr: 1.000e-04, eta: 7:39:56, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0341, loss_cls: 0.1592, acc: 94.1313, loss_bbox: 0.2038, loss_mask: 0.2134, loss: 0.6326 2023-11-14 23:52:43,661 - mmdet - INFO - Epoch [22][3200/7330] lr: 1.000e-04, eta: 7:39:43, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0303, loss_cls: 0.1552, acc: 94.3035, loss_bbox: 0.1971, loss_mask: 0.2098, loss: 0.6129 2023-11-14 23:52:56,505 - mmdet - INFO - Epoch [22][3250/7330] lr: 1.000e-04, eta: 7:39:30, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0302, loss_cls: 0.1522, acc: 94.4143, loss_bbox: 0.1957, loss_mask: 0.2115, loss: 0.6117 2023-11-14 23:53:09,244 - mmdet - INFO - Epoch [22][3300/7330] lr: 1.000e-04, eta: 7:39:17, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1596, acc: 94.1702, loss_bbox: 0.2071, loss_mask: 0.2075, loss: 0.6297 2023-11-14 23:53:22,106 - mmdet - INFO - Epoch [22][3350/7330] lr: 1.000e-04, eta: 7:39:04, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0331, loss_cls: 0.1624, acc: 94.0032, loss_bbox: 0.2059, loss_mask: 0.2076, loss: 0.6308 2023-11-14 23:53:35,096 - mmdet - INFO - Epoch [22][3400/7330] lr: 1.000e-04, eta: 7:38:51, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0289, loss_cls: 0.1530, acc: 94.3779, loss_bbox: 0.1929, loss_mask: 0.2072, loss: 0.6032 2023-11-14 23:53:48,065 - mmdet - INFO - Epoch [22][3450/7330] lr: 1.000e-04, eta: 7:38:38, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0327, loss_cls: 0.1669, acc: 93.9563, loss_bbox: 0.2145, loss_mask: 0.2160, loss: 0.6551 2023-11-14 23:54:01,053 - mmdet - INFO - Epoch [22][3500/7330] lr: 1.000e-04, eta: 7:38:26, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0316, loss_cls: 0.1613, acc: 94.0894, loss_bbox: 0.2029, loss_mask: 0.2063, loss: 0.6218 2023-11-14 23:54:13,566 - mmdet - INFO - Epoch [22][3550/7330] lr: 1.000e-04, eta: 7:38:12, time: 0.250, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0300, loss_cls: 0.1577, acc: 94.2378, loss_bbox: 0.2050, loss_mask: 0.2149, loss: 0.6286 2023-11-14 23:54:26,454 - mmdet - INFO - Epoch [22][3600/7330] lr: 1.000e-04, eta: 7:37:59, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0324, loss_cls: 0.1575, acc: 94.2666, loss_bbox: 0.2014, loss_mask: 0.2098, loss: 0.6232 2023-11-14 23:54:39,274 - mmdet - INFO - Epoch [22][3650/7330] lr: 1.000e-04, eta: 7:37:46, time: 0.256, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0332, loss_cls: 0.1649, acc: 93.9841, loss_bbox: 0.2073, loss_mask: 0.2137, loss: 0.6411 2023-11-14 23:54:52,047 - mmdet - INFO - Epoch [22][3700/7330] lr: 1.000e-04, eta: 7:37:33, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0318, loss_cls: 0.1656, acc: 93.9099, loss_bbox: 0.2080, loss_mask: 0.2108, loss: 0.6411 2023-11-14 23:55:05,004 - mmdet - INFO - Epoch [22][3750/7330] lr: 1.000e-04, eta: 7:37:20, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0302, loss_cls: 0.1573, acc: 94.1743, loss_bbox: 0.1994, loss_mask: 0.2080, loss: 0.6165 2023-11-14 23:55:17,893 - mmdet - INFO - Epoch [22][3800/7330] lr: 1.000e-04, eta: 7:37:08, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0310, loss_cls: 0.1562, acc: 94.3335, loss_bbox: 0.1964, loss_mask: 0.2076, loss: 0.6137 2023-11-14 23:55:30,871 - mmdet - INFO - Epoch [22][3850/7330] lr: 1.000e-04, eta: 7:36:55, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0325, loss_cls: 0.1629, acc: 94.2019, loss_bbox: 0.2000, loss_mask: 0.2109, loss: 0.6308 2023-11-14 23:55:43,715 - mmdet - INFO - Epoch [22][3900/7330] lr: 1.000e-04, eta: 7:36:42, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0291, loss_cls: 0.1507, acc: 94.4722, loss_bbox: 0.1978, loss_mask: 0.2047, loss: 0.6040 2023-11-14 23:55:56,435 - mmdet - INFO - Epoch [22][3950/7330] lr: 1.000e-04, eta: 7:36:29, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0314, loss_cls: 0.1565, acc: 94.2869, loss_bbox: 0.1998, loss_mask: 0.2106, loss: 0.6188 2023-11-14 23:56:09,322 - mmdet - INFO - Epoch [22][4000/7330] lr: 1.000e-04, eta: 7:36:16, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0316, loss_cls: 0.1504, acc: 94.4934, loss_bbox: 0.1986, loss_mask: 0.2110, loss: 0.6130 2023-11-14 23:56:22,062 - mmdet - INFO - Epoch [22][4050/7330] lr: 1.000e-04, eta: 7:36:03, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0303, loss_cls: 0.1544, acc: 94.4331, loss_bbox: 0.1973, loss_mask: 0.2087, loss: 0.6115 2023-11-14 23:56:34,829 - mmdet - INFO - Epoch [22][4100/7330] lr: 1.000e-04, eta: 7:35:50, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0333, loss_cls: 0.1627, acc: 94.0610, loss_bbox: 0.2022, loss_mask: 0.2097, loss: 0.6318 2023-11-14 23:56:47,853 - mmdet - INFO - Epoch [22][4150/7330] lr: 1.000e-04, eta: 7:35:37, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0305, loss_cls: 0.1616, acc: 94.1421, loss_bbox: 0.2048, loss_mask: 0.2131, loss: 0.6317 2023-11-14 23:57:00,461 - mmdet - INFO - Epoch [22][4200/7330] lr: 1.000e-04, eta: 7:35:24, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0307, loss_cls: 0.1558, acc: 94.3049, loss_bbox: 0.1974, loss_mask: 0.2068, loss: 0.6119 2023-11-14 23:57:13,201 - mmdet - INFO - Epoch [22][4250/7330] lr: 1.000e-04, eta: 7:35:11, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0308, loss_cls: 0.1661, acc: 94.0112, loss_bbox: 0.2106, loss_mask: 0.2179, loss: 0.6482 2023-11-14 23:57:25,843 - mmdet - INFO - Epoch [22][4300/7330] lr: 1.000e-04, eta: 7:34:58, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0339, loss_cls: 0.1665, acc: 93.9194, loss_bbox: 0.2106, loss_mask: 0.2198, loss: 0.6549 2023-11-14 23:57:38,772 - mmdet - INFO - Epoch [22][4350/7330] lr: 1.000e-04, eta: 7:34:45, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0317, loss_cls: 0.1612, acc: 94.1577, loss_bbox: 0.2040, loss_mask: 0.2124, loss: 0.6325 2023-11-14 23:57:51,445 - mmdet - INFO - Epoch [22][4400/7330] lr: 1.000e-04, eta: 7:34:32, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0305, loss_cls: 0.1551, acc: 94.2568, loss_bbox: 0.1974, loss_mask: 0.2025, loss: 0.6070 2023-11-14 23:58:04,616 - mmdet - INFO - Epoch [22][4450/7330] lr: 1.000e-04, eta: 7:34:19, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0342, loss_cls: 0.1700, acc: 93.9294, loss_bbox: 0.2102, loss_mask: 0.2171, loss: 0.6550 2023-11-14 23:58:17,432 - mmdet - INFO - Epoch [22][4500/7330] lr: 1.000e-04, eta: 7:34:06, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0306, loss_cls: 0.1583, acc: 94.2427, loss_bbox: 0.1956, loss_mask: 0.2094, loss: 0.6168 2023-11-14 23:58:30,267 - mmdet - INFO - Epoch [22][4550/7330] lr: 1.000e-04, eta: 7:33:53, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0315, loss_cls: 0.1649, acc: 94.0647, loss_bbox: 0.2106, loss_mask: 0.2134, loss: 0.6429 2023-11-14 23:58:43,156 - mmdet - INFO - Epoch [22][4600/7330] lr: 1.000e-04, eta: 7:33:40, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0317, loss_cls: 0.1641, acc: 94.0137, loss_bbox: 0.2089, loss_mask: 0.2118, loss: 0.6388 2023-11-14 23:58:56,080 - mmdet - INFO - Epoch [22][4650/7330] lr: 1.000e-04, eta: 7:33:27, time: 0.259, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0258, loss_rpn_bbox: 0.0335, loss_cls: 0.1602, acc: 94.0752, loss_bbox: 0.2077, loss_mask: 0.2148, loss: 0.6421 2023-11-14 23:59:08,853 - mmdet - INFO - Epoch [22][4700/7330] lr: 1.000e-04, eta: 7:33:14, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0321, loss_cls: 0.1589, acc: 94.1370, loss_bbox: 0.2045, loss_mask: 0.2115, loss: 0.6306 2023-11-14 23:59:21,697 - mmdet - INFO - Epoch [22][4750/7330] lr: 1.000e-04, eta: 7:33:01, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0301, loss_cls: 0.1540, acc: 94.4326, loss_bbox: 0.1949, loss_mask: 0.2089, loss: 0.6080 2023-11-14 23:59:34,598 - mmdet - INFO - Epoch [22][4800/7330] lr: 1.000e-04, eta: 7:32:48, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0304, loss_cls: 0.1604, acc: 94.1616, loss_bbox: 0.1987, loss_mask: 0.2115, loss: 0.6246 2023-11-14 23:59:47,389 - mmdet - INFO - Epoch [22][4850/7330] lr: 1.000e-04, eta: 7:32:35, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0313, loss_cls: 0.1630, acc: 93.9749, loss_bbox: 0.2095, loss_mask: 0.2125, loss: 0.6392 2023-11-15 00:00:04,063 - mmdet - INFO - Epoch [22][4900/7330] lr: 1.000e-04, eta: 7:32:25, time: 0.333, data_time: 0.067, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0332, loss_cls: 0.1689, acc: 93.8716, loss_bbox: 0.2139, loss_mask: 0.2106, loss: 0.6515 2023-11-15 00:00:16,913 - mmdet - INFO - Epoch [22][4950/7330] lr: 1.000e-04, eta: 7:32:12, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0327, loss_cls: 0.1599, acc: 94.1392, loss_bbox: 0.2054, loss_mask: 0.2113, loss: 0.6332 2023-11-15 00:00:29,833 - mmdet - INFO - Epoch [22][5000/7330] lr: 1.000e-04, eta: 7:31:59, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0285, loss_cls: 0.1545, acc: 94.3372, loss_bbox: 0.1965, loss_mask: 0.2085, loss: 0.6099 2023-11-15 00:00:42,750 - mmdet - INFO - Epoch [22][5050/7330] lr: 1.000e-04, eta: 7:31:46, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0319, loss_cls: 0.1618, acc: 94.1340, loss_bbox: 0.2087, loss_mask: 0.2110, loss: 0.6366 2023-11-15 00:00:55,479 - mmdet - INFO - Epoch [22][5100/7330] lr: 1.000e-04, eta: 7:31:33, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0249, loss_rpn_bbox: 0.0316, loss_cls: 0.1583, acc: 94.2825, loss_bbox: 0.2028, loss_mask: 0.2068, loss: 0.6244 2023-11-15 00:01:08,210 - mmdet - INFO - Epoch [22][5150/7330] lr: 1.000e-04, eta: 7:31:20, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0303, loss_cls: 0.1537, acc: 94.4231, loss_bbox: 0.2001, loss_mask: 0.2091, loss: 0.6163 2023-11-15 00:01:21,124 - mmdet - INFO - Epoch [22][5200/7330] lr: 1.000e-04, eta: 7:31:07, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0327, loss_cls: 0.1593, acc: 94.1682, loss_bbox: 0.2072, loss_mask: 0.2088, loss: 0.6309 2023-11-15 00:01:33,990 - mmdet - INFO - Epoch [22][5250/7330] lr: 1.000e-04, eta: 7:30:54, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0311, loss_cls: 0.1606, acc: 94.1956, loss_bbox: 0.2023, loss_mask: 0.2130, loss: 0.6270 2023-11-15 00:01:46,943 - mmdet - INFO - Epoch [22][5300/7330] lr: 1.000e-04, eta: 7:30:41, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0304, loss_cls: 0.1565, acc: 94.3877, loss_bbox: 0.1911, loss_mask: 0.2045, loss: 0.6039 2023-11-15 00:01:59,881 - mmdet - INFO - Epoch [22][5350/7330] lr: 1.000e-04, eta: 7:30:28, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0301, loss_cls: 0.1634, acc: 94.1470, loss_bbox: 0.1958, loss_mask: 0.2048, loss: 0.6169 2023-11-15 00:02:12,527 - mmdet - INFO - Epoch [22][5400/7330] lr: 1.000e-04, eta: 7:30:15, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0314, loss_cls: 0.1560, acc: 94.3301, loss_bbox: 0.1984, loss_mask: 0.2147, loss: 0.6215 2023-11-15 00:02:25,486 - mmdet - INFO - Epoch [22][5450/7330] lr: 1.000e-04, eta: 7:30:02, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0332, loss_cls: 0.1551, acc: 94.3452, loss_bbox: 0.2000, loss_mask: 0.2110, loss: 0.6216 2023-11-15 00:02:38,437 - mmdet - INFO - Epoch [22][5500/7330] lr: 1.000e-04, eta: 7:29:49, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0347, loss_cls: 0.1697, acc: 93.7397, loss_bbox: 0.2151, loss_mask: 0.2130, loss: 0.6578 2023-11-15 00:02:51,360 - mmdet - INFO - Epoch [22][5550/7330] lr: 1.000e-04, eta: 7:29:36, time: 0.258, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0334, loss_cls: 0.1677, acc: 93.8252, loss_bbox: 0.2117, loss_mask: 0.2136, loss: 0.6486 2023-11-15 00:03:04,173 - mmdet - INFO - Epoch [22][5600/7330] lr: 1.000e-04, eta: 7:29:23, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0329, loss_cls: 0.1629, acc: 94.0635, loss_bbox: 0.2061, loss_mask: 0.2094, loss: 0.6326 2023-11-15 00:03:16,939 - mmdet - INFO - Epoch [22][5650/7330] lr: 1.000e-04, eta: 7:29:10, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0292, loss_cls: 0.1545, acc: 94.3462, loss_bbox: 0.1990, loss_mask: 0.2122, loss: 0.6174 2023-11-15 00:03:29,896 - mmdet - INFO - Epoch [22][5700/7330] lr: 1.000e-04, eta: 7:28:57, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0293, loss_cls: 0.1529, acc: 94.5012, loss_bbox: 0.1933, loss_mask: 0.2063, loss: 0.6023 2023-11-15 00:03:42,834 - mmdet - INFO - Epoch [22][5750/7330] lr: 1.000e-04, eta: 7:28:44, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0304, loss_cls: 0.1569, acc: 94.2756, loss_bbox: 0.1973, loss_mask: 0.2122, loss: 0.6204 2023-11-15 00:03:55,596 - mmdet - INFO - Epoch [22][5800/7330] lr: 1.000e-04, eta: 7:28:31, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0303, loss_cls: 0.1566, acc: 94.2329, loss_bbox: 0.1985, loss_mask: 0.2086, loss: 0.6160 2023-11-15 00:04:08,377 - mmdet - INFO - Epoch [22][5850/7330] lr: 1.000e-04, eta: 7:28:18, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0312, loss_cls: 0.1619, acc: 94.1641, loss_bbox: 0.2000, loss_mask: 0.2089, loss: 0.6239 2023-11-15 00:04:21,112 - mmdet - INFO - Epoch [22][5900/7330] lr: 1.000e-04, eta: 7:28:05, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0347, loss_cls: 0.1672, acc: 93.8843, loss_bbox: 0.2132, loss_mask: 0.2164, loss: 0.6550 2023-11-15 00:04:34,027 - mmdet - INFO - Epoch [22][5950/7330] lr: 1.000e-04, eta: 7:27:52, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0340, loss_cls: 0.1664, acc: 93.8091, loss_bbox: 0.2079, loss_mask: 0.2103, loss: 0.6416 2023-11-15 00:04:46,948 - mmdet - INFO - Epoch [22][6000/7330] lr: 1.000e-04, eta: 7:27:39, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0325, loss_cls: 0.1616, acc: 94.0796, loss_bbox: 0.2038, loss_mask: 0.2142, loss: 0.6362 2023-11-15 00:04:59,638 - mmdet - INFO - Epoch [22][6050/7330] lr: 1.000e-04, eta: 7:27:26, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0328, loss_cls: 0.1610, acc: 94.1553, loss_bbox: 0.2013, loss_mask: 0.2116, loss: 0.6313 2023-11-15 00:05:12,228 - mmdet - INFO - Epoch [22][6100/7330] lr: 1.000e-04, eta: 7:27:13, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0305, loss_cls: 0.1649, acc: 93.9827, loss_bbox: 0.2012, loss_mask: 0.2099, loss: 0.6289 2023-11-15 00:05:25,212 - mmdet - INFO - Epoch [22][6150/7330] lr: 1.000e-04, eta: 7:27:00, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0315, loss_cls: 0.1605, acc: 94.1887, loss_bbox: 0.1988, loss_mask: 0.2095, loss: 0.6221 2023-11-15 00:05:38,123 - mmdet - INFO - Epoch [22][6200/7330] lr: 1.000e-04, eta: 7:26:47, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0315, loss_cls: 0.1608, acc: 94.2656, loss_bbox: 0.1981, loss_mask: 0.2063, loss: 0.6198 2023-11-15 00:05:50,994 - mmdet - INFO - Epoch [22][6250/7330] lr: 1.000e-04, eta: 7:26:35, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0308, loss_cls: 0.1616, acc: 94.1338, loss_bbox: 0.2018, loss_mask: 0.2082, loss: 0.6245 2023-11-15 00:06:03,810 - mmdet - INFO - Epoch [22][6300/7330] lr: 1.000e-04, eta: 7:26:22, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0295, loss_cls: 0.1582, acc: 94.2803, loss_bbox: 0.2004, loss_mask: 0.2094, loss: 0.6189 2023-11-15 00:06:16,939 - mmdet - INFO - Epoch [22][6350/7330] lr: 1.000e-04, eta: 7:26:09, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0307, loss_cls: 0.1509, acc: 94.4995, loss_bbox: 0.1930, loss_mask: 0.2090, loss: 0.6054 2023-11-15 00:06:29,800 - mmdet - INFO - Epoch [22][6400/7330] lr: 1.000e-04, eta: 7:25:56, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0299, loss_cls: 0.1576, acc: 94.0837, loss_bbox: 0.2040, loss_mask: 0.2073, loss: 0.6202 2023-11-15 00:06:42,885 - mmdet - INFO - Epoch [22][6450/7330] lr: 1.000e-04, eta: 7:25:43, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0343, loss_cls: 0.1635, acc: 93.9453, loss_bbox: 0.2094, loss_mask: 0.2123, loss: 0.6439 2023-11-15 00:06:55,941 - mmdet - INFO - Epoch [22][6500/7330] lr: 1.000e-04, eta: 7:25:30, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0300, loss_cls: 0.1576, acc: 94.3230, loss_bbox: 0.1963, loss_mask: 0.2093, loss: 0.6125 2023-11-15 00:07:08,500 - mmdet - INFO - Epoch [22][6550/7330] lr: 1.000e-04, eta: 7:25:17, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0316, loss_cls: 0.1618, acc: 94.0730, loss_bbox: 0.1994, loss_mask: 0.2066, loss: 0.6224 2023-11-15 00:07:21,944 - mmdet - INFO - Epoch [22][6600/7330] lr: 1.000e-04, eta: 7:25:04, time: 0.269, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0338, loss_cls: 0.1667, acc: 93.8909, loss_bbox: 0.2083, loss_mask: 0.2143, loss: 0.6485 2023-11-15 00:07:35,175 - mmdet - INFO - Epoch [22][6650/7330] lr: 1.000e-04, eta: 7:24:52, time: 0.265, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0336, loss_cls: 0.1703, acc: 93.7888, loss_bbox: 0.2148, loss_mask: 0.2215, loss: 0.6652 2023-11-15 00:07:47,930 - mmdet - INFO - Epoch [22][6700/7330] lr: 1.000e-04, eta: 7:24:39, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0296, loss_cls: 0.1510, acc: 94.4990, loss_bbox: 0.1921, loss_mask: 0.2028, loss: 0.5958 2023-11-15 00:08:01,072 - mmdet - INFO - Epoch [22][6750/7330] lr: 1.000e-04, eta: 7:24:26, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0305, loss_cls: 0.1559, acc: 94.3232, loss_bbox: 0.1998, loss_mask: 0.2138, loss: 0.6218 2023-11-15 00:08:13,952 - mmdet - INFO - Epoch [22][6800/7330] lr: 1.000e-04, eta: 7:24:13, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0312, loss_cls: 0.1523, acc: 94.4680, loss_bbox: 0.1919, loss_mask: 0.2106, loss: 0.6082 2023-11-15 00:08:26,795 - mmdet - INFO - Epoch [22][6850/7330] lr: 1.000e-04, eta: 7:24:00, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0300, loss_cls: 0.1608, acc: 94.2112, loss_bbox: 0.2017, loss_mask: 0.2142, loss: 0.6287 2023-11-15 00:08:39,509 - mmdet - INFO - Epoch [22][6900/7330] lr: 1.000e-04, eta: 7:23:47, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0331, loss_cls: 0.1642, acc: 93.9600, loss_bbox: 0.2085, loss_mask: 0.2129, loss: 0.6426 2023-11-15 00:08:52,362 - mmdet - INFO - Epoch [22][6950/7330] lr: 1.000e-04, eta: 7:23:34, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0330, loss_cls: 0.1685, acc: 93.7866, loss_bbox: 0.2094, loss_mask: 0.2124, loss: 0.6473 2023-11-15 00:09:05,112 - mmdet - INFO - Epoch [22][7000/7330] lr: 1.000e-04, eta: 7:23:21, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0327, loss_cls: 0.1675, acc: 93.9165, loss_bbox: 0.2052, loss_mask: 0.2085, loss: 0.6376 2023-11-15 00:09:17,851 - mmdet - INFO - Epoch [22][7050/7330] lr: 1.000e-04, eta: 7:23:08, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0335, loss_cls: 0.1730, acc: 93.7937, loss_bbox: 0.2129, loss_mask: 0.2140, loss: 0.6584 2023-11-15 00:09:30,618 - mmdet - INFO - Epoch [22][7100/7330] lr: 1.000e-04, eta: 7:22:55, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0329, loss_cls: 0.1642, acc: 94.1294, loss_bbox: 0.1997, loss_mask: 0.2079, loss: 0.6269 2023-11-15 00:09:43,421 - mmdet - INFO - Epoch [22][7150/7330] lr: 1.000e-04, eta: 7:22:42, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0330, loss_cls: 0.1716, acc: 93.8479, loss_bbox: 0.2117, loss_mask: 0.2172, loss: 0.6574 2023-11-15 00:09:56,080 - mmdet - INFO - Epoch [22][7200/7330] lr: 1.000e-04, eta: 7:22:29, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0304, loss_cls: 0.1639, acc: 94.0603, loss_bbox: 0.2024, loss_mask: 0.2126, loss: 0.6307 2023-11-15 00:10:09,017 - mmdet - INFO - Epoch [22][7250/7330] lr: 1.000e-04, eta: 7:22:16, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0321, loss_cls: 0.1650, acc: 94.0115, loss_bbox: 0.2031, loss_mask: 0.2150, loss: 0.6389 2023-11-15 00:10:21,742 - mmdet - INFO - Epoch [22][7300/7330] lr: 1.000e-04, eta: 7:22:03, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0314, loss_cls: 0.1616, acc: 94.2039, loss_bbox: 0.2029, loss_mask: 0.2132, loss: 0.6317 2023-11-15 00:10:30,097 - mmdet - INFO - Saving checkpoint at 22 epochs 2023-11-15 00:11:15,572 - mmdet - INFO - Evaluating bbox... 2023-11-15 00:11:46,686 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.470 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.688 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.518 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.311 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.601 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.598 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 ] = 0.640 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.734 2023-11-15 00:11:46,688 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.574 | bicycle | 0.364 | car | 0.486 | | motorcycle | 0.485 | airplane | 0.717 | bus | 0.676 | | train | 0.673 | truck | 0.380 | boat | 0.337 | | traffic light | 0.298 | fire hydrant | 0.704 | stop sign | 0.676 | | parking meter | 0.508 | bench | 0.308 | bird | 0.402 | | cat | 0.700 | dog | 0.702 | horse | 0.622 | | sheep | 0.574 | cow | 0.608 | elephant | 0.660 | | bear | 0.747 | zebra | 0.713 | giraffe | 0.694 | | backpack | 0.201 | umbrella | 0.456 | handbag | 0.241 | | tie | 0.384 | suitcase | 0.444 | frisbee | 0.686 | | skis | 0.304 | snowboard | 0.394 | sports ball | 0.476 | | kite | 0.446 | baseball bat | 0.446 | baseball glove | 0.443 | | skateboard | 0.582 | surfboard | 0.467 | tennis racket | 0.545 | | bottle | 0.436 | wine glass | 0.410 | cup | 0.498 | | fork | 0.460 | knife | 0.266 | spoon | 0.270 | | bowl | 0.465 | banana | 0.296 | apple | 0.221 | | sandwich | 0.432 | orange | 0.346 | broccoli | 0.253 | | carrot | 0.247 | hot dog | 0.426 | pizza | 0.548 | | donut | 0.537 | cake | 0.417 | chair | 0.352 | | couch | 0.465 | potted plant | 0.344 | bed | 0.432 | | dining table | 0.323 | toilet | 0.629 | tv | 0.611 | | laptop | 0.662 | mouse | 0.644 | remote | 0.433 | | keyboard | 0.551 | cell phone | 0.417 | microwave | 0.596 | | oven | 0.393 | toaster | 0.527 | sink | 0.433 | | refrigerator | 0.616 | book | 0.191 | clock | 0.509 | | vase | 0.408 | scissors | 0.414 | teddy bear | 0.495 | | hair drier | 0.179 | toothbrush | 0.343 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 00:11:46,689 - mmdet - INFO - Evaluating segm... 2023-11-15 00:12:20,318 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.422 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.659 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.455 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.229 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 ] = 0.602 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.541 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.374 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.692 2023-11-15 00:12:20,320 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.499 | bicycle | 0.227 | car | 0.447 | | motorcycle | 0.386 | airplane | 0.557 | bus | 0.680 | | train | 0.656 | truck | 0.365 | boat | 0.300 | | traffic light | 0.283 | fire hydrant | 0.677 | stop sign | 0.667 | | parking meter | 0.522 | bench | 0.224 | bird | 0.331 | | cat | 0.690 | dog | 0.654 | horse | 0.463 | | sheep | 0.507 | cow | 0.512 | elephant | 0.607 | | bear | 0.733 | zebra | 0.622 | giraffe | 0.552 | | backpack | 0.213 | umbrella | 0.515 | handbag | 0.228 | | tie | 0.353 | suitcase | 0.467 | frisbee | 0.662 | | skis | 0.059 | snowboard | 0.279 | sports ball | 0.459 | | kite | 0.319 | baseball bat | 0.311 | baseball glove | 0.448 | | skateboard | 0.384 | surfboard | 0.393 | tennis racket | 0.592 | | bottle | 0.420 | wine glass | 0.357 | cup | 0.493 | | fork | 0.239 | knife | 0.174 | spoon | 0.184 | | bowl | 0.437 | banana | 0.251 | apple | 0.223 | | sandwich | 0.445 | orange | 0.347 | broccoli | 0.231 | | carrot | 0.223 | hot dog | 0.346 | pizza | 0.524 | | donut | 0.549 | cake | 0.429 | chair | 0.249 | | couch | 0.383 | potted plant | 0.283 | bed | 0.319 | | dining table | 0.180 | toilet | 0.623 | tv | 0.648 | | laptop | 0.664 | mouse | 0.618 | remote | 0.400 | | keyboard | 0.531 | cell phone | 0.392 | microwave | 0.619 | | oven | 0.359 | toaster | 0.553 | sink | 0.425 | | refrigerator | 0.645 | book | 0.137 | clock | 0.513 | | vase | 0.398 | scissors | 0.306 | teddy bear | 0.473 | | hair drier | 0.136 | toothbrush | 0.212 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 00:12:20,812 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_15.pth was removed 2023-11-15 00:12:22,527 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_22.pth. 2023-11-15 00:12:22,528 - mmdet - INFO - Best bbox_mAP is 0.4702 at 22 epoch. 2023-11-15 00:12:22,528 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 00:12:22,528 - mmdet - INFO - Epoch(val) [22][625] bbox_mAP: 0.4702, bbox_mAP_50: 0.6875, bbox_mAP_75: 0.5178, bbox_mAP_s: 0.3105, bbox_mAP_m: 0.5141, bbox_mAP_l: 0.6013, bbox_mAP_copypaste: 0.4702 0.6875 0.5178 0.3105 0.5141 0.6013, segm_mAP: 0.4222, segm_mAP_50: 0.6593, segm_mAP_75: 0.4550, segm_mAP_s: 0.2291, segm_mAP_m: 0.4582, segm_mAP_l: 0.6018, segm_mAP_copypaste: 0.4222 0.6593 0.4550 0.2291 0.4582 0.6018 2023-11-15 00:12:41,577 - mmdet - INFO - Epoch [23][50/7330] lr: 1.000e-04, eta: 7:21:41, time: 0.381, data_time: 0.125, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0332, loss_cls: 0.1597, acc: 94.1025, loss_bbox: 0.2098, loss_mask: 0.2149, loss: 0.6405 2023-11-15 00:12:55,017 - mmdet - INFO - Epoch [23][100/7330] lr: 1.000e-04, eta: 7:21:29, time: 0.269, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0331, loss_cls: 0.1620, acc: 94.0032, loss_bbox: 0.2135, loss_mask: 0.2113, loss: 0.6420 2023-11-15 00:13:08,372 - mmdet - INFO - Epoch [23][150/7330] lr: 1.000e-04, eta: 7:21:16, time: 0.267, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0335, loss_cls: 0.1624, acc: 93.9978, loss_bbox: 0.2097, loss_mask: 0.2125, loss: 0.6419 2023-11-15 00:13:21,392 - mmdet - INFO - Epoch [23][200/7330] lr: 1.000e-04, eta: 7:21:03, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0297, loss_cls: 0.1531, acc: 94.3555, loss_bbox: 0.1998, loss_mask: 0.2090, loss: 0.6112 2023-11-15 00:13:34,449 - mmdet - INFO - Epoch [23][250/7330] lr: 1.000e-04, eta: 7:20:50, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0325, loss_cls: 0.1596, acc: 94.1501, loss_bbox: 0.2083, loss_mask: 0.2069, loss: 0.6304 2023-11-15 00:13:47,531 - mmdet - INFO - Epoch [23][300/7330] lr: 1.000e-04, eta: 7:20:37, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0288, loss_cls: 0.1535, acc: 94.3992, loss_bbox: 0.1993, loss_mask: 0.2067, loss: 0.6074 2023-11-15 00:14:00,837 - mmdet - INFO - Epoch [23][350/7330] lr: 1.000e-04, eta: 7:20:25, time: 0.266, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0309, loss_cls: 0.1512, acc: 94.5249, loss_bbox: 0.1965, loss_mask: 0.2080, loss: 0.6063 2023-11-15 00:14:14,080 - mmdet - INFO - Epoch [23][400/7330] lr: 1.000e-04, eta: 7:20:12, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0319, loss_cls: 0.1550, acc: 94.2656, loss_bbox: 0.2051, loss_mask: 0.2095, loss: 0.6233 2023-11-15 00:14:26,934 - mmdet - INFO - Epoch [23][450/7330] lr: 1.000e-04, eta: 7:19:59, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0293, loss_cls: 0.1522, acc: 94.4985, loss_bbox: 0.1974, loss_mask: 0.2040, loss: 0.6020 2023-11-15 00:14:40,007 - mmdet - INFO - Epoch [23][500/7330] lr: 1.000e-04, eta: 7:19:46, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0322, loss_cls: 0.1568, acc: 94.2061, loss_bbox: 0.2062, loss_mask: 0.2117, loss: 0.6297 2023-11-15 00:14:53,123 - mmdet - INFO - Epoch [23][550/7330] lr: 1.000e-04, eta: 7:19:33, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0326, loss_cls: 0.1644, acc: 93.9526, loss_bbox: 0.2113, loss_mask: 0.2080, loss: 0.6364 2023-11-15 00:15:06,390 - mmdet - INFO - Epoch [23][600/7330] lr: 1.000e-04, eta: 7:19:21, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0325, loss_cls: 0.1667, acc: 93.9993, loss_bbox: 0.2084, loss_mask: 0.2131, loss: 0.6447 2023-11-15 00:15:19,272 - mmdet - INFO - Epoch [23][650/7330] lr: 1.000e-04, eta: 7:19:08, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0310, loss_cls: 0.1515, acc: 94.3325, loss_bbox: 0.2006, loss_mask: 0.2130, loss: 0.6166 2023-11-15 00:15:32,431 - mmdet - INFO - Epoch [23][700/7330] lr: 1.000e-04, eta: 7:18:55, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0312, loss_cls: 0.1585, acc: 94.1575, loss_bbox: 0.2047, loss_mask: 0.2171, loss: 0.6339 2023-11-15 00:15:45,352 - mmdet - INFO - Epoch [23][750/7330] lr: 1.000e-04, eta: 7:18:42, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0288, loss_cls: 0.1449, acc: 94.7180, loss_bbox: 0.1909, loss_mask: 0.2025, loss: 0.5889 2023-11-15 00:15:58,458 - mmdet - INFO - Epoch [23][800/7330] lr: 1.000e-04, eta: 7:18:29, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0318, loss_cls: 0.1585, acc: 94.1440, loss_bbox: 0.2058, loss_mask: 0.2101, loss: 0.6278 2023-11-15 00:16:11,586 - mmdet - INFO - Epoch [23][850/7330] lr: 1.000e-04, eta: 7:18:16, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0296, loss_cls: 0.1531, acc: 94.4563, loss_bbox: 0.1958, loss_mask: 0.2044, loss: 0.6042 2023-11-15 00:16:24,321 - mmdet - INFO - Epoch [23][900/7330] lr: 1.000e-04, eta: 7:18:03, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0290, loss_cls: 0.1557, acc: 94.3379, loss_bbox: 0.1990, loss_mask: 0.2086, loss: 0.6113 2023-11-15 00:16:36,980 - mmdet - INFO - Epoch [23][950/7330] lr: 1.000e-04, eta: 7:17:50, time: 0.253, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0306, loss_cls: 0.1509, acc: 94.5017, loss_bbox: 0.1936, loss_mask: 0.2113, loss: 0.6076 2023-11-15 00:16:49,964 - mmdet - INFO - Epoch [23][1000/7330] lr: 1.000e-04, eta: 7:17:37, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0322, loss_cls: 0.1603, acc: 94.0378, loss_bbox: 0.2101, loss_mask: 0.2106, loss: 0.6348 2023-11-15 00:17:02,786 - mmdet - INFO - Epoch [23][1050/7330] lr: 1.000e-04, eta: 7:17:25, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0302, loss_cls: 0.1539, acc: 94.2961, loss_bbox: 0.2017, loss_mask: 0.2028, loss: 0.6094 2023-11-15 00:17:15,984 - mmdet - INFO - Epoch [23][1100/7330] lr: 1.000e-04, eta: 7:17:12, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0324, loss_cls: 0.1621, acc: 94.0439, loss_bbox: 0.2085, loss_mask: 0.2113, loss: 0.6345 2023-11-15 00:17:28,791 - mmdet - INFO - Epoch [23][1150/7330] lr: 1.000e-04, eta: 7:16:59, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0316, loss_cls: 0.1585, acc: 94.0781, loss_bbox: 0.2099, loss_mask: 0.2107, loss: 0.6313 2023-11-15 00:17:41,620 - mmdet - INFO - Epoch [23][1200/7330] lr: 1.000e-04, eta: 7:16:46, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0309, loss_cls: 0.1570, acc: 94.2195, loss_bbox: 0.2049, loss_mask: 0.2105, loss: 0.6223 2023-11-15 00:17:54,810 - mmdet - INFO - Epoch [23][1250/7330] lr: 1.000e-04, eta: 7:16:33, time: 0.264, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0327, loss_cls: 0.1631, acc: 94.1125, loss_bbox: 0.2069, loss_mask: 0.2113, loss: 0.6340 2023-11-15 00:18:08,053 - mmdet - INFO - Epoch [23][1300/7330] lr: 1.000e-04, eta: 7:16:20, time: 0.265, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0304, loss_cls: 0.1537, acc: 94.3518, loss_bbox: 0.1990, loss_mask: 0.2087, loss: 0.6140 2023-11-15 00:18:20,924 - mmdet - INFO - Epoch [23][1350/7330] lr: 1.000e-04, eta: 7:16:07, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0302, loss_cls: 0.1563, acc: 94.2874, loss_bbox: 0.2013, loss_mask: 0.2049, loss: 0.6128 2023-11-15 00:18:34,176 - mmdet - INFO - Epoch [23][1400/7330] lr: 1.000e-04, eta: 7:15:55, time: 0.265, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0333, loss_cls: 0.1656, acc: 93.9841, loss_bbox: 0.2096, loss_mask: 0.2122, loss: 0.6446 2023-11-15 00:18:47,209 - mmdet - INFO - Epoch [23][1450/7330] lr: 1.000e-04, eta: 7:15:42, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0310, loss_cls: 0.1556, acc: 94.3591, loss_bbox: 0.1999, loss_mask: 0.2105, loss: 0.6194 2023-11-15 00:19:00,154 - mmdet - INFO - Epoch [23][1500/7330] lr: 1.000e-04, eta: 7:15:29, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0326, loss_cls: 0.1555, acc: 94.3474, loss_bbox: 0.2010, loss_mask: 0.2035, loss: 0.6145 2023-11-15 00:19:13,067 - mmdet - INFO - Epoch [23][1550/7330] lr: 1.000e-04, eta: 7:15:16, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0323, loss_cls: 0.1589, acc: 94.2146, loss_bbox: 0.2049, loss_mask: 0.2035, loss: 0.6227 2023-11-15 00:19:25,941 - mmdet - INFO - Epoch [23][1600/7330] lr: 1.000e-04, eta: 7:15:03, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0305, loss_cls: 0.1503, acc: 94.4648, loss_bbox: 0.1972, loss_mask: 0.2079, loss: 0.6082 2023-11-15 00:19:38,820 - mmdet - INFO - Epoch [23][1650/7330] lr: 1.000e-04, eta: 7:14:50, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0311, loss_cls: 0.1576, acc: 94.2900, loss_bbox: 0.2028, loss_mask: 0.2065, loss: 0.6209 2023-11-15 00:19:51,691 - mmdet - INFO - Epoch [23][1700/7330] lr: 1.000e-04, eta: 7:14:37, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0339, loss_cls: 0.1642, acc: 93.9382, loss_bbox: 0.2154, loss_mask: 0.2134, loss: 0.6503 2023-11-15 00:20:04,508 - mmdet - INFO - Epoch [23][1750/7330] lr: 1.000e-04, eta: 7:14:24, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0302, loss_cls: 0.1545, acc: 94.4570, loss_bbox: 0.1977, loss_mask: 0.2098, loss: 0.6133 2023-11-15 00:20:17,535 - mmdet - INFO - Epoch [23][1800/7330] lr: 1.000e-04, eta: 7:14:11, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0319, loss_cls: 0.1556, acc: 94.3606, loss_bbox: 0.1992, loss_mask: 0.2077, loss: 0.6164 2023-11-15 00:20:30,716 - mmdet - INFO - Epoch [23][1850/7330] lr: 1.000e-04, eta: 7:13:59, time: 0.264, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0322, loss_cls: 0.1633, acc: 94.0112, loss_bbox: 0.2080, loss_mask: 0.2126, loss: 0.6400 2023-11-15 00:20:44,115 - mmdet - INFO - Epoch [23][1900/7330] lr: 1.000e-04, eta: 7:13:46, time: 0.268, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0327, loss_cls: 0.1600, acc: 94.2217, loss_bbox: 0.2003, loss_mask: 0.2091, loss: 0.6248 2023-11-15 00:20:56,979 - mmdet - INFO - Epoch [23][1950/7330] lr: 1.000e-04, eta: 7:13:33, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0314, loss_cls: 0.1539, acc: 94.3777, loss_bbox: 0.1968, loss_mask: 0.2062, loss: 0.6108 2023-11-15 00:21:09,945 - mmdet - INFO - Epoch [23][2000/7330] lr: 1.000e-04, eta: 7:13:20, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0306, loss_cls: 0.1461, acc: 94.6514, loss_bbox: 0.1893, loss_mask: 0.2045, loss: 0.5916 2023-11-15 00:21:23,026 - mmdet - INFO - Epoch [23][2050/7330] lr: 1.000e-04, eta: 7:13:07, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0305, loss_cls: 0.1511, acc: 94.4878, loss_bbox: 0.1943, loss_mask: 0.2045, loss: 0.6018 2023-11-15 00:21:35,894 - mmdet - INFO - Epoch [23][2100/7330] lr: 1.000e-04, eta: 7:12:54, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0329, loss_cls: 0.1593, acc: 94.0959, loss_bbox: 0.2063, loss_mask: 0.2153, loss: 0.6371 2023-11-15 00:21:48,580 - mmdet - INFO - Epoch [23][2150/7330] lr: 1.000e-04, eta: 7:12:41, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0292, loss_cls: 0.1488, acc: 94.5867, loss_bbox: 0.1874, loss_mask: 0.1994, loss: 0.5872 2023-11-15 00:22:01,425 - mmdet - INFO - Epoch [23][2200/7330] lr: 1.000e-04, eta: 7:12:28, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0323, loss_cls: 0.1594, acc: 94.1587, loss_bbox: 0.2027, loss_mask: 0.2118, loss: 0.6287 2023-11-15 00:22:14,503 - mmdet - INFO - Epoch [23][2250/7330] lr: 1.000e-04, eta: 7:12:15, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0309, loss_cls: 0.1586, acc: 94.1807, loss_bbox: 0.2028, loss_mask: 0.2064, loss: 0.6194 2023-11-15 00:22:27,828 - mmdet - INFO - Epoch [23][2300/7330] lr: 1.000e-04, eta: 7:12:03, time: 0.267, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0349, loss_cls: 0.1629, acc: 94.0159, loss_bbox: 0.2085, loss_mask: 0.2092, loss: 0.6383 2023-11-15 00:22:40,511 - mmdet - INFO - Epoch [23][2350/7330] lr: 1.000e-04, eta: 7:11:50, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0299, loss_cls: 0.1552, acc: 94.3333, loss_bbox: 0.1970, loss_mask: 0.2104, loss: 0.6118 2023-11-15 00:22:53,242 - mmdet - INFO - Epoch [23][2400/7330] lr: 1.000e-04, eta: 7:11:37, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0303, loss_cls: 0.1586, acc: 94.3015, loss_bbox: 0.2017, loss_mask: 0.2089, loss: 0.6210 2023-11-15 00:23:06,160 - mmdet - INFO - Epoch [23][2450/7330] lr: 1.000e-04, eta: 7:11:24, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0312, loss_cls: 0.1575, acc: 94.2439, loss_bbox: 0.2018, loss_mask: 0.2114, loss: 0.6223 2023-11-15 00:23:19,435 - mmdet - INFO - Epoch [23][2500/7330] lr: 1.000e-04, eta: 7:11:11, time: 0.265, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0340, loss_cls: 0.1649, acc: 94.0151, loss_bbox: 0.2077, loss_mask: 0.2134, loss: 0.6447 2023-11-15 00:23:32,190 - mmdet - INFO - Epoch [23][2550/7330] lr: 1.000e-04, eta: 7:10:58, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0331, loss_cls: 0.1611, acc: 94.0425, loss_bbox: 0.2087, loss_mask: 0.2149, loss: 0.6399 2023-11-15 00:23:45,273 - mmdet - INFO - Epoch [23][2600/7330] lr: 1.000e-04, eta: 7:10:45, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0334, loss_cls: 0.1661, acc: 93.9746, loss_bbox: 0.2078, loss_mask: 0.2083, loss: 0.6384 2023-11-15 00:23:57,969 - mmdet - INFO - Epoch [23][2650/7330] lr: 1.000e-04, eta: 7:10:32, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0328, loss_cls: 0.1605, acc: 94.1343, loss_bbox: 0.2041, loss_mask: 0.2126, loss: 0.6319 2023-11-15 00:24:11,110 - mmdet - INFO - Epoch [23][2700/7330] lr: 1.000e-04, eta: 7:10:19, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0266, loss_rpn_bbox: 0.0319, loss_cls: 0.1582, acc: 94.1907, loss_bbox: 0.2029, loss_mask: 0.2066, loss: 0.6263 2023-11-15 00:24:23,984 - mmdet - INFO - Epoch [23][2750/7330] lr: 1.000e-04, eta: 7:10:06, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0321, loss_cls: 0.1648, acc: 94.0110, loss_bbox: 0.2057, loss_mask: 0.2143, loss: 0.6400 2023-11-15 00:24:36,836 - mmdet - INFO - Epoch [23][2800/7330] lr: 1.000e-04, eta: 7:09:53, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0311, loss_cls: 0.1551, acc: 94.2915, loss_bbox: 0.2010, loss_mask: 0.2093, loss: 0.6199 2023-11-15 00:24:49,390 - mmdet - INFO - Epoch [23][2850/7330] lr: 1.000e-04, eta: 7:09:40, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0330, loss_cls: 0.1648, acc: 94.0359, loss_bbox: 0.2092, loss_mask: 0.2146, loss: 0.6456 2023-11-15 00:25:02,562 - mmdet - INFO - Epoch [23][2900/7330] lr: 1.000e-04, eta: 7:09:28, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0323, loss_cls: 0.1569, acc: 94.1570, loss_bbox: 0.2018, loss_mask: 0.2101, loss: 0.6222 2023-11-15 00:25:15,726 - mmdet - INFO - Epoch [23][2950/7330] lr: 1.000e-04, eta: 7:09:15, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0324, loss_cls: 0.1606, acc: 94.1348, loss_bbox: 0.2037, loss_mask: 0.2111, loss: 0.6301 2023-11-15 00:25:28,616 - mmdet - INFO - Epoch [23][3000/7330] lr: 1.000e-04, eta: 7:09:02, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0308, loss_cls: 0.1535, acc: 94.3889, loss_bbox: 0.1995, loss_mask: 0.2087, loss: 0.6144 2023-11-15 00:25:41,507 - mmdet - INFO - Epoch [23][3050/7330] lr: 1.000e-04, eta: 7:08:49, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0308, loss_cls: 0.1608, acc: 94.2571, loss_bbox: 0.2064, loss_mask: 0.2125, loss: 0.6327 2023-11-15 00:25:54,331 - mmdet - INFO - Epoch [23][3100/7330] lr: 1.000e-04, eta: 7:08:36, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0320, loss_cls: 0.1558, acc: 94.3667, loss_bbox: 0.1973, loss_mask: 0.2129, loss: 0.6206 2023-11-15 00:26:07,267 - mmdet - INFO - Epoch [23][3150/7330] lr: 1.000e-04, eta: 7:08:23, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0305, loss_cls: 0.1535, acc: 94.3906, loss_bbox: 0.1978, loss_mask: 0.2097, loss: 0.6129 2023-11-15 00:26:20,000 - mmdet - INFO - Epoch [23][3200/7330] lr: 1.000e-04, eta: 7:08:10, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0302, loss_cls: 0.1539, acc: 94.3645, loss_bbox: 0.1968, loss_mask: 0.2093, loss: 0.6126 2023-11-15 00:26:32,803 - mmdet - INFO - Epoch [23][3250/7330] lr: 1.000e-04, eta: 7:07:57, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0323, loss_cls: 0.1619, acc: 94.0259, loss_bbox: 0.2055, loss_mask: 0.2138, loss: 0.6359 2023-11-15 00:26:45,774 - mmdet - INFO - Epoch [23][3300/7330] lr: 1.000e-04, eta: 7:07:44, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0311, loss_cls: 0.1510, acc: 94.4641, loss_bbox: 0.1972, loss_mask: 0.2034, loss: 0.6052 2023-11-15 00:26:58,562 - mmdet - INFO - Epoch [23][3350/7330] lr: 1.000e-04, eta: 7:07:31, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0323, loss_cls: 0.1516, acc: 94.4302, loss_bbox: 0.1979, loss_mask: 0.2057, loss: 0.6106 2023-11-15 00:27:11,326 - mmdet - INFO - Epoch [23][3400/7330] lr: 1.000e-04, eta: 7:07:18, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0323, loss_cls: 0.1564, acc: 94.1406, loss_bbox: 0.2028, loss_mask: 0.2115, loss: 0.6270 2023-11-15 00:27:24,042 - mmdet - INFO - Epoch [23][3450/7330] lr: 1.000e-04, eta: 7:07:05, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0324, loss_cls: 0.1602, acc: 94.1113, loss_bbox: 0.2051, loss_mask: 0.2081, loss: 0.6292 2023-11-15 00:27:37,052 - mmdet - INFO - Epoch [23][3500/7330] lr: 1.000e-04, eta: 7:06:52, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0317, loss_cls: 0.1601, acc: 94.1099, loss_bbox: 0.2042, loss_mask: 0.2092, loss: 0.6273 2023-11-15 00:27:50,144 - mmdet - INFO - Epoch [23][3550/7330] lr: 1.000e-04, eta: 7:06:39, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0322, loss_cls: 0.1616, acc: 94.0889, loss_bbox: 0.2056, loss_mask: 0.2113, loss: 0.6339 2023-11-15 00:28:03,231 - mmdet - INFO - Epoch [23][3600/7330] lr: 1.000e-04, eta: 7:06:27, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0338, loss_cls: 0.1658, acc: 93.8884, loss_bbox: 0.2108, loss_mask: 0.2099, loss: 0.6434 2023-11-15 00:28:15,860 - mmdet - INFO - Epoch [23][3650/7330] lr: 1.000e-04, eta: 7:06:13, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0334, loss_cls: 0.1643, acc: 94.0205, loss_bbox: 0.2116, loss_mask: 0.2166, loss: 0.6482 2023-11-15 00:28:28,598 - mmdet - INFO - Epoch [23][3700/7330] lr: 1.000e-04, eta: 7:06:00, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0321, loss_cls: 0.1623, acc: 94.0020, loss_bbox: 0.2034, loss_mask: 0.2095, loss: 0.6313 2023-11-15 00:28:41,531 - mmdet - INFO - Epoch [23][3750/7330] lr: 1.000e-04, eta: 7:05:47, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0322, loss_cls: 0.1621, acc: 94.0317, loss_bbox: 0.2092, loss_mask: 0.2132, loss: 0.6385 2023-11-15 00:28:54,386 - mmdet - INFO - Epoch [23][3800/7330] lr: 1.000e-04, eta: 7:05:35, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0301, loss_cls: 0.1529, acc: 94.3826, loss_bbox: 0.1955, loss_mask: 0.2096, loss: 0.6083 2023-11-15 00:29:07,443 - mmdet - INFO - Epoch [23][3850/7330] lr: 1.000e-04, eta: 7:05:22, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0315, loss_cls: 0.1639, acc: 94.0105, loss_bbox: 0.2098, loss_mask: 0.2160, loss: 0.6419 2023-11-15 00:29:20,209 - mmdet - INFO - Epoch [23][3900/7330] lr: 1.000e-04, eta: 7:05:09, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0286, loss_cls: 0.1569, acc: 94.2749, loss_bbox: 0.1941, loss_mask: 0.2092, loss: 0.6094 2023-11-15 00:29:33,153 - mmdet - INFO - Epoch [23][3950/7330] lr: 1.000e-04, eta: 7:04:56, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0325, loss_cls: 0.1593, acc: 94.2554, loss_bbox: 0.1983, loss_mask: 0.2096, loss: 0.6219 2023-11-15 00:29:46,017 - mmdet - INFO - Epoch [23][4000/7330] lr: 1.000e-04, eta: 7:04:43, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0327, loss_cls: 0.1673, acc: 93.9331, loss_bbox: 0.2067, loss_mask: 0.2114, loss: 0.6413 2023-11-15 00:29:58,872 - mmdet - INFO - Epoch [23][4050/7330] lr: 1.000e-04, eta: 7:04:30, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0304, loss_cls: 0.1618, acc: 94.1562, loss_bbox: 0.2031, loss_mask: 0.2073, loss: 0.6246 2023-11-15 00:30:11,778 - mmdet - INFO - Epoch [23][4100/7330] lr: 1.000e-04, eta: 7:04:17, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0298, loss_cls: 0.1542, acc: 94.4077, loss_bbox: 0.1984, loss_mask: 0.2101, loss: 0.6132 2023-11-15 00:30:24,488 - mmdet - INFO - Epoch [23][4150/7330] lr: 1.000e-04, eta: 7:04:04, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0310, loss_cls: 0.1567, acc: 94.3450, loss_bbox: 0.1976, loss_mask: 0.2074, loss: 0.6148 2023-11-15 00:30:37,298 - mmdet - INFO - Epoch [23][4200/7330] lr: 1.000e-04, eta: 7:03:51, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0319, loss_cls: 0.1529, acc: 94.3633, loss_bbox: 0.1929, loss_mask: 0.2123, loss: 0.6117 2023-11-15 00:30:49,880 - mmdet - INFO - Epoch [23][4250/7330] lr: 1.000e-04, eta: 7:03:38, time: 0.252, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0314, loss_cls: 0.1578, acc: 94.2556, loss_bbox: 0.2048, loss_mask: 0.2130, loss: 0.6296 2023-11-15 00:31:02,684 - mmdet - INFO - Epoch [23][4300/7330] lr: 1.000e-04, eta: 7:03:25, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0327, loss_cls: 0.1654, acc: 93.9644, loss_bbox: 0.2097, loss_mask: 0.2094, loss: 0.6386 2023-11-15 00:31:15,841 - mmdet - INFO - Epoch [23][4350/7330] lr: 1.000e-04, eta: 7:03:12, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0311, loss_cls: 0.1573, acc: 94.2803, loss_bbox: 0.1989, loss_mask: 0.2106, loss: 0.6206 2023-11-15 00:31:28,700 - mmdet - INFO - Epoch [23][4400/7330] lr: 1.000e-04, eta: 7:02:59, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0314, loss_cls: 0.1675, acc: 94.0249, loss_bbox: 0.2075, loss_mask: 0.2138, loss: 0.6429 2023-11-15 00:31:41,341 - mmdet - INFO - Epoch [23][4450/7330] lr: 1.000e-04, eta: 7:02:46, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0322, loss_cls: 0.1578, acc: 94.2708, loss_bbox: 0.1965, loss_mask: 0.2080, loss: 0.6183 2023-11-15 00:31:54,109 - mmdet - INFO - Epoch [23][4500/7330] lr: 1.000e-04, eta: 7:02:33, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0318, loss_cls: 0.1544, acc: 94.3967, loss_bbox: 0.1958, loss_mask: 0.2104, loss: 0.6136 2023-11-15 00:32:07,094 - mmdet - INFO - Epoch [23][4550/7330] lr: 1.000e-04, eta: 7:02:20, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0319, loss_cls: 0.1583, acc: 94.1899, loss_bbox: 0.2002, loss_mask: 0.2114, loss: 0.6242 2023-11-15 00:32:21,799 - mmdet - INFO - Epoch [23][4600/7330] lr: 1.000e-04, eta: 7:02:08, time: 0.294, data_time: 0.049, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0312, loss_cls: 0.1511, acc: 94.4583, loss_bbox: 0.1926, loss_mask: 0.2079, loss: 0.6030 2023-11-15 00:32:34,691 - mmdet - INFO - Epoch [23][4650/7330] lr: 1.000e-04, eta: 7:01:55, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0330, loss_cls: 0.1607, acc: 94.1562, loss_bbox: 0.2024, loss_mask: 0.2079, loss: 0.6266 2023-11-15 00:32:47,327 - mmdet - INFO - Epoch [23][4700/7330] lr: 1.000e-04, eta: 7:01:42, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0307, loss_cls: 0.1506, acc: 94.4966, loss_bbox: 0.2011, loss_mask: 0.2111, loss: 0.6126 2023-11-15 00:33:00,315 - mmdet - INFO - Epoch [23][4750/7330] lr: 1.000e-04, eta: 7:01:29, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0308, loss_cls: 0.1585, acc: 94.1987, loss_bbox: 0.2017, loss_mask: 0.2092, loss: 0.6233 2023-11-15 00:33:13,004 - mmdet - INFO - Epoch [23][4800/7330] lr: 1.000e-04, eta: 7:01:16, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0308, loss_cls: 0.1672, acc: 93.9941, loss_bbox: 0.2106, loss_mask: 0.2084, loss: 0.6400 2023-11-15 00:33:25,598 - mmdet - INFO - Epoch [23][4850/7330] lr: 1.000e-04, eta: 7:01:03, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0307, loss_cls: 0.1600, acc: 94.2070, loss_bbox: 0.2029, loss_mask: 0.2121, loss: 0.6286 2023-11-15 00:33:38,383 - mmdet - INFO - Epoch [23][4900/7330] lr: 1.000e-04, eta: 7:00:50, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0319, loss_cls: 0.1595, acc: 94.1848, loss_bbox: 0.2006, loss_mask: 0.2132, loss: 0.6276 2023-11-15 00:33:51,332 - mmdet - INFO - Epoch [23][4950/7330] lr: 1.000e-04, eta: 7:00:37, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0311, loss_cls: 0.1591, acc: 94.1741, loss_bbox: 0.2017, loss_mask: 0.2095, loss: 0.6236 2023-11-15 00:34:04,124 - mmdet - INFO - Epoch [23][5000/7330] lr: 1.000e-04, eta: 7:00:24, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0304, loss_cls: 0.1561, acc: 94.2783, loss_bbox: 0.1977, loss_mask: 0.2053, loss: 0.6119 2023-11-15 00:34:17,010 - mmdet - INFO - Epoch [23][5050/7330] lr: 1.000e-04, eta: 7:00:11, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0330, loss_cls: 0.1571, acc: 94.2527, loss_bbox: 0.2032, loss_mask: 0.2099, loss: 0.6252 2023-11-15 00:34:29,860 - mmdet - INFO - Epoch [23][5100/7330] lr: 1.000e-04, eta: 6:59:58, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0338, loss_cls: 0.1665, acc: 93.8064, loss_bbox: 0.2148, loss_mask: 0.2174, loss: 0.6552 2023-11-15 00:34:42,698 - mmdet - INFO - Epoch [23][5150/7330] lr: 1.000e-04, eta: 6:59:45, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0326, loss_cls: 0.1570, acc: 94.2385, loss_bbox: 0.2035, loss_mask: 0.2047, loss: 0.6201 2023-11-15 00:34:55,740 - mmdet - INFO - Epoch [23][5200/7330] lr: 1.000e-04, eta: 6:59:33, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0294, loss_cls: 0.1502, acc: 94.6211, loss_bbox: 0.1906, loss_mask: 0.2073, loss: 0.5989 2023-11-15 00:35:08,649 - mmdet - INFO - Epoch [23][5250/7330] lr: 1.000e-04, eta: 6:59:20, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0335, loss_cls: 0.1694, acc: 93.7053, loss_bbox: 0.2154, loss_mask: 0.2119, loss: 0.6540 2023-11-15 00:35:21,651 - mmdet - INFO - Epoch [23][5300/7330] lr: 1.000e-04, eta: 6:59:07, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0317, loss_cls: 0.1580, acc: 94.2131, loss_bbox: 0.2047, loss_mask: 0.2091, loss: 0.6252 2023-11-15 00:35:34,758 - mmdet - INFO - Epoch [23][5350/7330] lr: 1.000e-04, eta: 6:58:54, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0329, loss_cls: 0.1524, acc: 94.4331, loss_bbox: 0.1984, loss_mask: 0.2065, loss: 0.6107 2023-11-15 00:35:47,275 - mmdet - INFO - Epoch [23][5400/7330] lr: 1.000e-04, eta: 6:58:41, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0316, loss_cls: 0.1629, acc: 94.1035, loss_bbox: 0.2014, loss_mask: 0.2191, loss: 0.6400 2023-11-15 00:36:00,105 - mmdet - INFO - Epoch [23][5450/7330] lr: 1.000e-04, eta: 6:58:28, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0328, loss_cls: 0.1595, acc: 94.1404, loss_bbox: 0.2016, loss_mask: 0.2066, loss: 0.6233 2023-11-15 00:36:12,805 - mmdet - INFO - Epoch [23][5500/7330] lr: 1.000e-04, eta: 6:58:15, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0293, loss_cls: 0.1533, acc: 94.4260, loss_bbox: 0.1949, loss_mask: 0.2067, loss: 0.6056 2023-11-15 00:36:25,742 - mmdet - INFO - Epoch [23][5550/7330] lr: 1.000e-04, eta: 6:58:02, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0326, loss_cls: 0.1615, acc: 94.2803, loss_bbox: 0.2030, loss_mask: 0.2091, loss: 0.6303 2023-11-15 00:36:38,261 - mmdet - INFO - Epoch [23][5600/7330] lr: 1.000e-04, eta: 6:57:49, time: 0.250, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0310, loss_cls: 0.1550, acc: 94.3052, loss_bbox: 0.1970, loss_mask: 0.2134, loss: 0.6197 2023-11-15 00:36:50,981 - mmdet - INFO - Epoch [23][5650/7330] lr: 1.000e-04, eta: 6:57:36, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0333, loss_cls: 0.1592, acc: 94.2227, loss_bbox: 0.1997, loss_mask: 0.2086, loss: 0.6231 2023-11-15 00:37:03,824 - mmdet - INFO - Epoch [23][5700/7330] lr: 1.000e-04, eta: 6:57:23, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0323, loss_cls: 0.1623, acc: 94.0586, loss_bbox: 0.2081, loss_mask: 0.2117, loss: 0.6386 2023-11-15 00:37:16,700 - mmdet - INFO - Epoch [23][5750/7330] lr: 1.000e-04, eta: 6:57:10, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0308, loss_cls: 0.1602, acc: 94.2068, loss_bbox: 0.2000, loss_mask: 0.2108, loss: 0.6235 2023-11-15 00:37:29,383 - mmdet - INFO - Epoch [23][5800/7330] lr: 1.000e-04, eta: 6:56:57, time: 0.254, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0300, loss_cls: 0.1525, acc: 94.4680, loss_bbox: 0.1903, loss_mask: 0.2046, loss: 0.5999 2023-11-15 00:37:42,364 - mmdet - INFO - Epoch [23][5850/7330] lr: 1.000e-04, eta: 6:56:44, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0337, loss_cls: 0.1571, acc: 94.2708, loss_bbox: 0.2020, loss_mask: 0.2068, loss: 0.6242 2023-11-15 00:37:55,149 - mmdet - INFO - Epoch [23][5900/7330] lr: 1.000e-04, eta: 6:56:31, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0329, loss_cls: 0.1613, acc: 94.0896, loss_bbox: 0.2056, loss_mask: 0.2139, loss: 0.6379 2023-11-15 00:38:08,091 - mmdet - INFO - Epoch [23][5950/7330] lr: 1.000e-04, eta: 6:56:18, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0329, loss_cls: 0.1663, acc: 93.9363, loss_bbox: 0.2095, loss_mask: 0.2112, loss: 0.6447 2023-11-15 00:38:20,738 - mmdet - INFO - Epoch [23][6000/7330] lr: 1.000e-04, eta: 6:56:05, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0318, loss_cls: 0.1559, acc: 94.3862, loss_bbox: 0.1985, loss_mask: 0.2076, loss: 0.6179 2023-11-15 00:38:33,450 - mmdet - INFO - Epoch [23][6050/7330] lr: 1.000e-04, eta: 6:55:52, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0319, loss_cls: 0.1598, acc: 94.1348, loss_bbox: 0.2036, loss_mask: 0.2148, loss: 0.6345 2023-11-15 00:38:45,989 - mmdet - INFO - Epoch [23][6100/7330] lr: 1.000e-04, eta: 6:55:39, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0324, loss_cls: 0.1586, acc: 94.2017, loss_bbox: 0.2024, loss_mask: 0.2102, loss: 0.6246 2023-11-15 00:38:58,859 - mmdet - INFO - Epoch [23][6150/7330] lr: 1.000e-04, eta: 6:55:26, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0327, loss_cls: 0.1655, acc: 93.9446, loss_bbox: 0.2077, loss_mask: 0.2120, loss: 0.6401 2023-11-15 00:39:11,719 - mmdet - INFO - Epoch [23][6200/7330] lr: 1.000e-04, eta: 6:55:13, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0325, loss_cls: 0.1612, acc: 94.2708, loss_bbox: 0.2012, loss_mask: 0.2083, loss: 0.6277 2023-11-15 00:39:24,753 - mmdet - INFO - Epoch [23][6250/7330] lr: 1.000e-04, eta: 6:55:00, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0316, loss_cls: 0.1614, acc: 94.0376, loss_bbox: 0.2065, loss_mask: 0.2136, loss: 0.6361 2023-11-15 00:39:37,537 - mmdet - INFO - Epoch [23][6300/7330] lr: 1.000e-04, eta: 6:54:47, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0311, loss_cls: 0.1603, acc: 94.1497, loss_bbox: 0.2035, loss_mask: 0.2098, loss: 0.6286 2023-11-15 00:39:50,597 - mmdet - INFO - Epoch [23][6350/7330] lr: 1.000e-04, eta: 6:54:34, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0332, loss_cls: 0.1659, acc: 93.9790, loss_bbox: 0.2083, loss_mask: 0.2165, loss: 0.6457 2023-11-15 00:40:03,565 - mmdet - INFO - Epoch [23][6400/7330] lr: 1.000e-04, eta: 6:54:21, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0342, loss_cls: 0.1637, acc: 93.9543, loss_bbox: 0.2046, loss_mask: 0.2184, loss: 0.6443 2023-11-15 00:40:16,269 - mmdet - INFO - Epoch [23][6450/7330] lr: 1.000e-04, eta: 6:54:08, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0339, loss_cls: 0.1597, acc: 94.1682, loss_bbox: 0.2040, loss_mask: 0.2120, loss: 0.6328 2023-11-15 00:40:28,928 - mmdet - INFO - Epoch [23][6500/7330] lr: 1.000e-04, eta: 6:53:55, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0312, loss_cls: 0.1577, acc: 94.1509, loss_bbox: 0.2061, loss_mask: 0.2135, loss: 0.6309 2023-11-15 00:40:41,809 - mmdet - INFO - Epoch [23][6550/7330] lr: 1.000e-04, eta: 6:53:42, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0304, loss_cls: 0.1553, acc: 94.3784, loss_bbox: 0.1966, loss_mask: 0.2117, loss: 0.6161 2023-11-15 00:40:54,975 - mmdet - INFO - Epoch [23][6600/7330] lr: 1.000e-04, eta: 6:53:29, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0304, loss_cls: 0.1638, acc: 94.1719, loss_bbox: 0.2022, loss_mask: 0.2105, loss: 0.6298 2023-11-15 00:41:07,625 - mmdet - INFO - Epoch [23][6650/7330] lr: 1.000e-04, eta: 6:53:16, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0299, loss_cls: 0.1576, acc: 94.3132, loss_bbox: 0.1935, loss_mask: 0.2054, loss: 0.6091 2023-11-15 00:41:20,901 - mmdet - INFO - Epoch [23][6700/7330] lr: 1.000e-04, eta: 6:53:04, time: 0.266, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0342, loss_cls: 0.1733, acc: 93.7302, loss_bbox: 0.2178, loss_mask: 0.2153, loss: 0.6638 2023-11-15 00:41:33,707 - mmdet - INFO - Epoch [23][6750/7330] lr: 1.000e-04, eta: 6:52:51, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0335, loss_cls: 0.1614, acc: 94.0852, loss_bbox: 0.2054, loss_mask: 0.2126, loss: 0.6351 2023-11-15 00:41:46,514 - mmdet - INFO - Epoch [23][6800/7330] lr: 1.000e-04, eta: 6:52:38, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0330, loss_cls: 0.1684, acc: 93.8813, loss_bbox: 0.2084, loss_mask: 0.2127, loss: 0.6462 2023-11-15 00:41:59,514 - mmdet - INFO - Epoch [23][6850/7330] lr: 1.000e-04, eta: 6:52:25, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0341, loss_cls: 0.1647, acc: 94.0525, loss_bbox: 0.2093, loss_mask: 0.2115, loss: 0.6430 2023-11-15 00:42:12,242 - mmdet - INFO - Epoch [23][6900/7330] lr: 1.000e-04, eta: 6:52:12, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0297, loss_cls: 0.1511, acc: 94.5779, loss_bbox: 0.1894, loss_mask: 0.2074, loss: 0.5999 2023-11-15 00:42:25,166 - mmdet - INFO - Epoch [23][6950/7330] lr: 1.000e-04, eta: 6:51:59, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0330, loss_cls: 0.1689, acc: 93.8792, loss_bbox: 0.2069, loss_mask: 0.2149, loss: 0.6478 2023-11-15 00:42:38,256 - mmdet - INFO - Epoch [23][7000/7330] lr: 1.000e-04, eta: 6:51:46, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0314, loss_cls: 0.1593, acc: 94.1880, loss_bbox: 0.2017, loss_mask: 0.2118, loss: 0.6276 2023-11-15 00:42:50,886 - mmdet - INFO - Epoch [23][7050/7330] lr: 1.000e-04, eta: 6:51:33, time: 0.253, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0320, loss_cls: 0.1636, acc: 93.9841, loss_bbox: 0.2063, loss_mask: 0.2090, loss: 0.6340 2023-11-15 00:43:03,565 - mmdet - INFO - Epoch [23][7100/7330] lr: 1.000e-04, eta: 6:51:20, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0326, loss_cls: 0.1602, acc: 94.1731, loss_bbox: 0.2047, loss_mask: 0.2146, loss: 0.6342 2023-11-15 00:43:16,331 - mmdet - INFO - Epoch [23][7150/7330] lr: 1.000e-04, eta: 6:51:07, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0298, loss_cls: 0.1574, acc: 94.2563, loss_bbox: 0.2019, loss_mask: 0.2099, loss: 0.6214 2023-11-15 00:43:28,923 - mmdet - INFO - Epoch [23][7200/7330] lr: 1.000e-04, eta: 6:50:54, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0304, loss_cls: 0.1575, acc: 94.3110, loss_bbox: 0.1977, loss_mask: 0.2036, loss: 0.6096 2023-11-15 00:43:41,900 - mmdet - INFO - Epoch [23][7250/7330] lr: 1.000e-04, eta: 6:50:41, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0325, loss_cls: 0.1614, acc: 94.0691, loss_bbox: 0.2050, loss_mask: 0.2154, loss: 0.6375 2023-11-15 00:43:54,326 - mmdet - INFO - Epoch [23][7300/7330] lr: 1.000e-04, eta: 6:50:28, time: 0.249, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0316, loss_cls: 0.1606, acc: 94.1831, loss_bbox: 0.1982, loss_mask: 0.2071, loss: 0.6206 2023-11-15 00:44:02,554 - mmdet - INFO - Saving checkpoint at 23 epochs 2023-11-15 00:44:46,534 - mmdet - INFO - Evaluating bbox... 2023-11-15 00:45:14,712 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.470 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.687 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.517 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 ] = 0.515 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 ] = 0.599 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.599 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.599 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.443 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 ] = 0.736 2023-11-15 00:45:14,714 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.581 | bicycle | 0.372 | car | 0.491 | | motorcycle | 0.502 | airplane | 0.716 | bus | 0.718 | | train | 0.679 | truck | 0.418 | boat | 0.325 | | traffic light | 0.305 | fire hydrant | 0.698 | stop sign | 0.659 | | parking meter | 0.463 | bench | 0.293 | bird | 0.394 | | cat | 0.711 | dog | 0.677 | horse | 0.648 | | sheep | 0.587 | cow | 0.614 | elephant | 0.671 | | bear | 0.736 | zebra | 0.710 | giraffe | 0.692 | | backpack | 0.206 | umbrella | 0.456 | handbag | 0.222 | | tie | 0.388 | suitcase | 0.458 | frisbee | 0.686 | | skis | 0.286 | snowboard | 0.418 | sports ball | 0.470 | | kite | 0.449 | baseball bat | 0.397 | baseball glove | 0.422 | | skateboard | 0.605 | surfboard | 0.463 | tennis racket | 0.553 | | bottle | 0.449 | wine glass | 0.415 | cup | 0.475 | | fork | 0.463 | knife | 0.268 | spoon | 0.283 | | bowl | 0.452 | banana | 0.262 | apple | 0.244 | | sandwich | 0.412 | orange | 0.348 | broccoli | 0.232 | | carrot | 0.219 | hot dog | 0.437 | pizza | 0.515 | | donut | 0.541 | cake | 0.428 | chair | 0.352 | | couch | 0.460 | potted plant | 0.344 | bed | 0.437 | | dining table | 0.299 | toilet | 0.645 | tv | 0.628 | | laptop | 0.672 | mouse | 0.642 | remote | 0.430 | | keyboard | 0.558 | cell phone | 0.425 | microwave | 0.634 | | oven | 0.387 | toaster | 0.456 | sink | 0.426 | | refrigerator | 0.643 | book | 0.190 | clock | 0.509 | | vase | 0.418 | scissors | 0.402 | teddy bear | 0.518 | | hair drier | 0.180 | toothbrush | 0.358 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 00:45:14,714 - mmdet - INFO - Evaluating segm... 2023-11-15 00:45:46,146 - 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 ] = 0.654 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.450 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.228 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.456 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 ] = 0.539 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 ] = 0.371 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 ] = 0.695 2023-11-15 00:45:46,149 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.498 | bicycle | 0.228 | car | 0.445 | | motorcycle | 0.384 | airplane | 0.559 | bus | 0.694 | | train | 0.666 | truck | 0.401 | boat | 0.292 | | traffic light | 0.289 | fire hydrant | 0.654 | stop sign | 0.666 | | parking meter | 0.474 | bench | 0.213 | bird | 0.328 | | cat | 0.712 | dog | 0.635 | horse | 0.475 | | sheep | 0.506 | cow | 0.526 | elephant | 0.599 | | bear | 0.721 | zebra | 0.594 | giraffe | 0.540 | | backpack | 0.213 | umbrella | 0.508 | handbag | 0.207 | | tie | 0.353 | suitcase | 0.481 | frisbee | 0.635 | | skis | 0.051 | snowboard | 0.286 | sports ball | 0.434 | | kite | 0.305 | baseball bat | 0.314 | baseball glove | 0.442 | | skateboard | 0.370 | surfboard | 0.399 | tennis racket | 0.589 | | bottle | 0.422 | wine glass | 0.364 | cup | 0.464 | | fork | 0.225 | knife | 0.170 | spoon | 0.190 | | bowl | 0.420 | banana | 0.208 | apple | 0.236 | | sandwich | 0.444 | orange | 0.353 | broccoli | 0.222 | | carrot | 0.194 | hot dog | 0.338 | pizza | 0.481 | | donut | 0.545 | cake | 0.428 | chair | 0.234 | | couch | 0.394 | potted plant | 0.282 | bed | 0.346 | | dining table | 0.182 | toilet | 0.629 | tv | 0.655 | | laptop | 0.660 | mouse | 0.621 | remote | 0.368 | | keyboard | 0.543 | cell phone | 0.401 | microwave | 0.634 | | oven | 0.359 | toaster | 0.546 | sink | 0.414 | | refrigerator | 0.649 | book | 0.130 | clock | 0.510 | | vase | 0.401 | scissors | 0.315 | teddy bear | 0.500 | | hair drier | 0.143 | toothbrush | 0.215 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 00:45:46,572 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 00:45:46,573 - mmdet - INFO - Epoch(val) [23][625] bbox_mAP: 0.4699, bbox_mAP_50: 0.6867, bbox_mAP_75: 0.5166, bbox_mAP_s: 0.3131, bbox_mAP_m: 0.5152, bbox_mAP_l: 0.6041, bbox_mAP_copypaste: 0.4699 0.6867 0.5166 0.3131 0.5152 0.6041, segm_mAP: 0.4190, segm_mAP_50: 0.6536, segm_mAP_75: 0.4495, segm_mAP_s: 0.2280, segm_mAP_m: 0.4558, segm_mAP_l: 0.6017, segm_mAP_copypaste: 0.4190 0.6536 0.4495 0.2280 0.4558 0.6017 2023-11-15 00:46:02,578 - mmdet - INFO - Epoch [24][50/7330] lr: 1.000e-04, eta: 6:50:04, time: 0.320, data_time: 0.076, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0309, loss_cls: 0.1546, acc: 94.4690, loss_bbox: 0.1970, loss_mask: 0.2120, loss: 0.6164 2023-11-15 00:46:15,966 - mmdet - INFO - Epoch [24][100/7330] lr: 1.000e-04, eta: 6:49:52, time: 0.268, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0285, loss_cls: 0.1491, acc: 94.5396, loss_bbox: 0.1915, loss_mask: 0.2068, loss: 0.5959 2023-11-15 00:46:29,317 - mmdet - INFO - Epoch [24][150/7330] lr: 1.000e-04, eta: 6:49:39, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0307, loss_cls: 0.1545, acc: 94.3384, loss_bbox: 0.1958, loss_mask: 0.2036, loss: 0.6054 2023-11-15 00:46:42,385 - mmdet - INFO - Epoch [24][200/7330] lr: 1.000e-04, eta: 6:49:26, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0312, loss_cls: 0.1445, acc: 94.6069, loss_bbox: 0.1896, loss_mask: 0.2064, loss: 0.5923 2023-11-15 00:46:55,443 - mmdet - INFO - Epoch [24][250/7330] lr: 1.000e-04, eta: 6:49:13, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0310, loss_cls: 0.1538, acc: 94.3184, loss_bbox: 0.2003, loss_mask: 0.2100, loss: 0.6171 2023-11-15 00:47:08,483 - mmdet - INFO - Epoch [24][300/7330] lr: 1.000e-04, eta: 6:49:00, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0289, loss_cls: 0.1450, acc: 94.6392, loss_bbox: 0.1914, loss_mask: 0.2072, loss: 0.5916 2023-11-15 00:47:21,548 - mmdet - INFO - Epoch [24][350/7330] lr: 1.000e-04, eta: 6:48:48, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0309, loss_cls: 0.1524, acc: 94.4539, loss_bbox: 0.1961, loss_mask: 0.2072, loss: 0.6080 2023-11-15 00:47:35,897 - mmdet - INFO - Epoch [24][400/7330] lr: 1.000e-04, eta: 6:48:35, time: 0.287, data_time: 0.046, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0316, loss_cls: 0.1571, acc: 94.3459, loss_bbox: 0.1983, loss_mask: 0.2030, loss: 0.6111 2023-11-15 00:47:48,921 - mmdet - INFO - Epoch [24][450/7330] lr: 1.000e-04, eta: 6:48:23, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0305, loss_cls: 0.1544, acc: 94.3281, loss_bbox: 0.1993, loss_mask: 0.2065, loss: 0.6117 2023-11-15 00:48:01,927 - mmdet - INFO - Epoch [24][500/7330] lr: 1.000e-04, eta: 6:48:10, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0312, loss_cls: 0.1528, acc: 94.3997, loss_bbox: 0.1974, loss_mask: 0.2092, loss: 0.6123 2023-11-15 00:48:15,161 - mmdet - INFO - Epoch [24][550/7330] lr: 1.000e-04, eta: 6:47:57, time: 0.265, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0302, loss_cls: 0.1543, acc: 94.2981, loss_bbox: 0.1992, loss_mask: 0.2054, loss: 0.6091 2023-11-15 00:48:28,207 - mmdet - INFO - Epoch [24][600/7330] lr: 1.000e-04, eta: 6:47:44, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0301, loss_cls: 0.1589, acc: 94.2424, loss_bbox: 0.2014, loss_mask: 0.2070, loss: 0.6167 2023-11-15 00:48:41,065 - mmdet - INFO - Epoch [24][650/7330] lr: 1.000e-04, eta: 6:47:31, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0301, loss_cls: 0.1575, acc: 94.2595, loss_bbox: 0.2024, loss_mask: 0.2102, loss: 0.6204 2023-11-15 00:48:54,009 - mmdet - INFO - Epoch [24][700/7330] lr: 1.000e-04, eta: 6:47:18, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0295, loss_cls: 0.1469, acc: 94.5715, loss_bbox: 0.1933, loss_mask: 0.2108, loss: 0.6014 2023-11-15 00:49:06,830 - mmdet - INFO - Epoch [24][750/7330] lr: 1.000e-04, eta: 6:47:05, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0320, loss_cls: 0.1589, acc: 94.1326, loss_bbox: 0.2058, loss_mask: 0.2107, loss: 0.6289 2023-11-15 00:49:19,556 - mmdet - INFO - Epoch [24][800/7330] lr: 1.000e-04, eta: 6:46:52, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0284, loss_cls: 0.1469, acc: 94.6758, loss_bbox: 0.1920, loss_mask: 0.2026, loss: 0.5892 2023-11-15 00:49:32,547 - mmdet - INFO - Epoch [24][850/7330] lr: 1.000e-04, eta: 6:46:39, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0307, loss_cls: 0.1481, acc: 94.5710, loss_bbox: 0.1950, loss_mask: 0.2035, loss: 0.5968 2023-11-15 00:49:45,252 - mmdet - INFO - Epoch [24][900/7330] lr: 1.000e-04, eta: 6:46:26, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0318, loss_cls: 0.1502, acc: 94.4282, loss_bbox: 0.1998, loss_mask: 0.2080, loss: 0.6113 2023-11-15 00:49:58,433 - mmdet - INFO - Epoch [24][950/7330] lr: 1.000e-04, eta: 6:46:14, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0325, loss_cls: 0.1545, acc: 94.2947, loss_bbox: 0.2009, loss_mask: 0.2155, loss: 0.6249 2023-11-15 00:50:11,076 - mmdet - INFO - Epoch [24][1000/7330] lr: 1.000e-04, eta: 6:46:01, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0297, loss_cls: 0.1507, acc: 94.6125, loss_bbox: 0.1927, loss_mask: 0.2010, loss: 0.5964 2023-11-15 00:50:23,860 - mmdet - INFO - Epoch [24][1050/7330] lr: 1.000e-04, eta: 6:45:48, time: 0.256, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0339, loss_cls: 0.1581, acc: 94.1743, loss_bbox: 0.2020, loss_mask: 0.2124, loss: 0.6292 2023-11-15 00:50:36,918 - mmdet - INFO - Epoch [24][1100/7330] lr: 1.000e-04, eta: 6:45:35, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0320, loss_cls: 0.1539, acc: 94.2976, loss_bbox: 0.2035, loss_mask: 0.2113, loss: 0.6240 2023-11-15 00:50:50,008 - mmdet - INFO - Epoch [24][1150/7330] lr: 1.000e-04, eta: 6:45:22, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0297, loss_cls: 0.1479, acc: 94.5667, loss_bbox: 0.1919, loss_mask: 0.2020, loss: 0.5921 2023-11-15 00:51:02,743 - mmdet - INFO - Epoch [24][1200/7330] lr: 1.000e-04, eta: 6:45:09, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0305, loss_cls: 0.1531, acc: 94.3918, loss_bbox: 0.1991, loss_mask: 0.2081, loss: 0.6140 2023-11-15 00:51:15,889 - mmdet - INFO - Epoch [24][1250/7330] lr: 1.000e-04, eta: 6:44:56, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0323, loss_cls: 0.1600, acc: 94.2566, loss_bbox: 0.1959, loss_mask: 0.2066, loss: 0.6184 2023-11-15 00:51:29,007 - mmdet - INFO - Epoch [24][1300/7330] lr: 1.000e-04, eta: 6:44:43, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0313, loss_cls: 0.1521, acc: 94.4299, loss_bbox: 0.1986, loss_mask: 0.2115, loss: 0.6154 2023-11-15 00:51:41,875 - mmdet - INFO - Epoch [24][1350/7330] lr: 1.000e-04, eta: 6:44:30, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0303, loss_cls: 0.1525, acc: 94.4539, loss_bbox: 0.1989, loss_mask: 0.2073, loss: 0.6103 2023-11-15 00:51:55,148 - mmdet - INFO - Epoch [24][1400/7330] lr: 1.000e-04, eta: 6:44:18, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0329, loss_cls: 0.1582, acc: 94.0925, loss_bbox: 0.2067, loss_mask: 0.2122, loss: 0.6329 2023-11-15 00:52:08,209 - mmdet - INFO - Epoch [24][1450/7330] lr: 1.000e-04, eta: 6:44:05, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0318, loss_cls: 0.1541, acc: 94.3657, loss_bbox: 0.1984, loss_mask: 0.2041, loss: 0.6089 2023-11-15 00:52:21,227 - mmdet - INFO - Epoch [24][1500/7330] lr: 1.000e-04, eta: 6:43:52, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0340, loss_cls: 0.1598, acc: 94.1208, loss_bbox: 0.2038, loss_mask: 0.2090, loss: 0.6296 2023-11-15 00:52:34,449 - mmdet - INFO - Epoch [24][1550/7330] lr: 1.000e-04, eta: 6:43:39, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0310, loss_cls: 0.1595, acc: 94.0806, loss_bbox: 0.2072, loss_mask: 0.2084, loss: 0.6264 2023-11-15 00:52:47,436 - mmdet - INFO - Epoch [24][1600/7330] lr: 1.000e-04, eta: 6:43:26, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0316, loss_cls: 0.1591, acc: 94.2517, loss_bbox: 0.2025, loss_mask: 0.2097, loss: 0.6268 2023-11-15 00:53:00,127 - mmdet - INFO - Epoch [24][1650/7330] lr: 1.000e-04, eta: 6:43:13, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0299, loss_cls: 0.1562, acc: 94.2371, loss_bbox: 0.1985, loss_mask: 0.2086, loss: 0.6138 2023-11-15 00:53:12,721 - mmdet - INFO - Epoch [24][1700/7330] lr: 1.000e-04, eta: 6:43:00, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0317, loss_cls: 0.1514, acc: 94.4446, loss_bbox: 0.1965, loss_mask: 0.2117, loss: 0.6119 2023-11-15 00:53:25,677 - mmdet - INFO - Epoch [24][1750/7330] lr: 1.000e-04, eta: 6:42:47, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0297, loss_cls: 0.1532, acc: 94.3870, loss_bbox: 0.2009, loss_mask: 0.2080, loss: 0.6122 2023-11-15 00:53:38,497 - mmdet - INFO - Epoch [24][1800/7330] lr: 1.000e-04, eta: 6:42:34, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0303, loss_cls: 0.1510, acc: 94.5298, loss_bbox: 0.1930, loss_mask: 0.2018, loss: 0.5963 2023-11-15 00:53:51,392 - mmdet - INFO - Epoch [24][1850/7330] lr: 1.000e-04, eta: 6:42:21, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0303, loss_cls: 0.1569, acc: 94.2654, loss_bbox: 0.1963, loss_mask: 0.2081, loss: 0.6124 2023-11-15 00:54:04,373 - mmdet - INFO - Epoch [24][1900/7330] lr: 1.000e-04, eta: 6:42:08, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0330, loss_cls: 0.1606, acc: 94.1108, loss_bbox: 0.2004, loss_mask: 0.2106, loss: 0.6283 2023-11-15 00:54:17,380 - mmdet - INFO - Epoch [24][1950/7330] lr: 1.000e-04, eta: 6:41:56, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0334, loss_cls: 0.1660, acc: 94.0029, loss_bbox: 0.2105, loss_mask: 0.2131, loss: 0.6463 2023-11-15 00:54:30,529 - mmdet - INFO - Epoch [24][2000/7330] lr: 1.000e-04, eta: 6:41:43, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0327, loss_cls: 0.1617, acc: 94.0803, loss_bbox: 0.2099, loss_mask: 0.2141, loss: 0.6416 2023-11-15 00:54:43,782 - mmdet - INFO - Epoch [24][2050/7330] lr: 1.000e-04, eta: 6:41:30, time: 0.265, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0326, loss_cls: 0.1586, acc: 94.2351, loss_bbox: 0.2010, loss_mask: 0.2092, loss: 0.6244 2023-11-15 00:54:56,893 - mmdet - INFO - Epoch [24][2100/7330] lr: 1.000e-04, eta: 6:41:17, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0310, loss_cls: 0.1585, acc: 94.1609, loss_bbox: 0.2020, loss_mask: 0.2095, loss: 0.6212 2023-11-15 00:55:09,729 - mmdet - INFO - Epoch [24][2150/7330] lr: 1.000e-04, eta: 6:41:04, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0315, loss_cls: 0.1551, acc: 94.2710, loss_bbox: 0.1966, loss_mask: 0.2084, loss: 0.6142 2023-11-15 00:55:22,701 - mmdet - INFO - Epoch [24][2200/7330] lr: 1.000e-04, eta: 6:40:51, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0317, loss_cls: 0.1560, acc: 94.2505, loss_bbox: 0.2053, loss_mask: 0.2072, loss: 0.6212 2023-11-15 00:55:35,976 - mmdet - INFO - Epoch [24][2250/7330] lr: 1.000e-04, eta: 6:40:39, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0314, loss_cls: 0.1542, acc: 94.2771, loss_bbox: 0.2008, loss_mask: 0.2070, loss: 0.6143 2023-11-15 00:55:48,942 - mmdet - INFO - Epoch [24][2300/7330] lr: 1.000e-04, eta: 6:40:26, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0329, loss_cls: 0.1606, acc: 94.0667, loss_bbox: 0.2052, loss_mask: 0.2150, loss: 0.6374 2023-11-15 00:56:01,690 - mmdet - INFO - Epoch [24][2350/7330] lr: 1.000e-04, eta: 6:40:13, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0298, loss_cls: 0.1536, acc: 94.5015, loss_bbox: 0.1923, loss_mask: 0.2100, loss: 0.6062 2023-11-15 00:56:14,690 - mmdet - INFO - Epoch [24][2400/7330] lr: 1.000e-04, eta: 6:40:00, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0300, loss_cls: 0.1519, acc: 94.4692, loss_bbox: 0.1984, loss_mask: 0.2100, loss: 0.6112 2023-11-15 00:56:27,512 - mmdet - INFO - Epoch [24][2450/7330] lr: 1.000e-04, eta: 6:39:47, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0314, loss_cls: 0.1616, acc: 94.1130, loss_bbox: 0.2073, loss_mask: 0.2090, loss: 0.6318 2023-11-15 00:56:40,214 - mmdet - INFO - Epoch [24][2500/7330] lr: 1.000e-04, eta: 6:39:34, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0316, loss_cls: 0.1550, acc: 94.3113, loss_bbox: 0.2013, loss_mask: 0.2023, loss: 0.6121 2023-11-15 00:56:52,925 - mmdet - INFO - Epoch [24][2550/7330] lr: 1.000e-04, eta: 6:39:21, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0300, loss_cls: 0.1619, acc: 94.1008, loss_bbox: 0.2082, loss_mask: 0.2121, loss: 0.6332 2023-11-15 00:57:05,881 - mmdet - INFO - Epoch [24][2600/7330] lr: 1.000e-04, eta: 6:39:08, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0307, loss_cls: 0.1579, acc: 94.2388, loss_bbox: 0.2006, loss_mask: 0.2100, loss: 0.6227 2023-11-15 00:57:18,603 - mmdet - INFO - Epoch [24][2650/7330] lr: 1.000e-04, eta: 6:38:55, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0312, loss_cls: 0.1624, acc: 93.9419, loss_bbox: 0.2086, loss_mask: 0.2107, loss: 0.6337 2023-11-15 00:57:31,302 - mmdet - INFO - Epoch [24][2700/7330] lr: 1.000e-04, eta: 6:38:42, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0310, loss_cls: 0.1563, acc: 94.2056, loss_bbox: 0.1993, loss_mask: 0.2113, loss: 0.6184 2023-11-15 00:57:44,364 - mmdet - INFO - Epoch [24][2750/7330] lr: 1.000e-04, eta: 6:38:29, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0320, loss_cls: 0.1567, acc: 94.2251, loss_bbox: 0.2008, loss_mask: 0.2104, loss: 0.6200 2023-11-15 00:57:57,354 - mmdet - INFO - Epoch [24][2800/7330] lr: 1.000e-04, eta: 6:38:16, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0332, loss_cls: 0.1662, acc: 93.8633, loss_bbox: 0.2072, loss_mask: 0.2080, loss: 0.6385 2023-11-15 00:58:10,130 - mmdet - INFO - Epoch [24][2850/7330] lr: 1.000e-04, eta: 6:38:03, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0320, loss_cls: 0.1599, acc: 94.1582, loss_bbox: 0.2039, loss_mask: 0.2075, loss: 0.6269 2023-11-15 00:58:23,103 - mmdet - INFO - Epoch [24][2900/7330] lr: 1.000e-04, eta: 6:37:50, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0317, loss_cls: 0.1534, acc: 94.3306, loss_bbox: 0.2002, loss_mask: 0.2091, loss: 0.6170 2023-11-15 00:58:35,807 - mmdet - INFO - Epoch [24][2950/7330] lr: 1.000e-04, eta: 6:37:37, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0348, loss_cls: 0.1645, acc: 93.9509, loss_bbox: 0.2091, loss_mask: 0.2105, loss: 0.6422 2023-11-15 00:58:48,653 - mmdet - INFO - Epoch [24][3000/7330] lr: 1.000e-04, eta: 6:37:24, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0282, loss_cls: 0.1520, acc: 94.3760, loss_bbox: 0.1925, loss_mask: 0.2022, loss: 0.5945 2023-11-15 00:59:01,203 - mmdet - INFO - Epoch [24][3050/7330] lr: 1.000e-04, eta: 6:37:11, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0313, loss_cls: 0.1554, acc: 94.3809, loss_bbox: 0.1992, loss_mask: 0.2102, loss: 0.6200 2023-11-15 00:59:14,036 - mmdet - INFO - Epoch [24][3100/7330] lr: 1.000e-04, eta: 6:36:58, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0305, loss_cls: 0.1523, acc: 94.3938, loss_bbox: 0.1972, loss_mask: 0.2085, loss: 0.6098 2023-11-15 00:59:27,009 - mmdet - INFO - Epoch [24][3150/7330] lr: 1.000e-04, eta: 6:36:45, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0337, loss_cls: 0.1592, acc: 94.1567, loss_bbox: 0.2072, loss_mask: 0.2143, loss: 0.6376 2023-11-15 00:59:40,177 - mmdet - INFO - Epoch [24][3200/7330] lr: 1.000e-04, eta: 6:36:33, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0328, loss_cls: 0.1630, acc: 94.0295, loss_bbox: 0.2084, loss_mask: 0.2114, loss: 0.6369 2023-11-15 00:59:53,063 - mmdet - INFO - Epoch [24][3250/7330] lr: 1.000e-04, eta: 6:36:20, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0314, loss_cls: 0.1553, acc: 94.3215, loss_bbox: 0.1996, loss_mask: 0.2078, loss: 0.6167 2023-11-15 01:00:05,864 - mmdet - INFO - Epoch [24][3300/7330] lr: 1.000e-04, eta: 6:36:07, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0295, loss_cls: 0.1493, acc: 94.4553, loss_bbox: 0.1913, loss_mask: 0.2121, loss: 0.6030 2023-11-15 01:00:22,061 - mmdet - INFO - Epoch [24][3350/7330] lr: 1.000e-04, eta: 6:35:55, time: 0.324, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0332, loss_cls: 0.1641, acc: 94.0649, loss_bbox: 0.2032, loss_mask: 0.2093, loss: 0.6345 2023-11-15 01:00:34,808 - mmdet - INFO - Epoch [24][3400/7330] lr: 1.000e-04, eta: 6:35:42, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0307, loss_cls: 0.1508, acc: 94.6221, loss_bbox: 0.1901, loss_mask: 0.2053, loss: 0.6010 2023-11-15 01:00:47,726 - mmdet - INFO - Epoch [24][3450/7330] lr: 1.000e-04, eta: 6:35:30, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0322, loss_cls: 0.1612, acc: 94.1360, loss_bbox: 0.2062, loss_mask: 0.2077, loss: 0.6306 2023-11-15 01:01:01,033 - mmdet - INFO - Epoch [24][3500/7330] lr: 1.000e-04, eta: 6:35:17, time: 0.266, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0310, loss_cls: 0.1560, acc: 94.3923, loss_bbox: 0.1973, loss_mask: 0.2074, loss: 0.6132 2023-11-15 01:01:13,947 - mmdet - INFO - Epoch [24][3550/7330] lr: 1.000e-04, eta: 6:35:04, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0293, loss_cls: 0.1597, acc: 94.1816, loss_bbox: 0.2022, loss_mask: 0.2098, loss: 0.6222 2023-11-15 01:01:26,959 - mmdet - INFO - Epoch [24][3600/7330] lr: 1.000e-04, eta: 6:34:51, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0363, loss_cls: 0.1736, acc: 93.7065, loss_bbox: 0.2183, loss_mask: 0.2161, loss: 0.6698 2023-11-15 01:01:39,782 - mmdet - INFO - Epoch [24][3650/7330] lr: 1.000e-04, eta: 6:34:38, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0312, loss_cls: 0.1565, acc: 94.2180, loss_bbox: 0.2024, loss_mask: 0.2087, loss: 0.6205 2023-11-15 01:01:52,775 - mmdet - INFO - Epoch [24][3700/7330] lr: 1.000e-04, eta: 6:34:25, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0284, loss_cls: 0.1541, acc: 94.3232, loss_bbox: 0.2002, loss_mask: 0.2085, loss: 0.6091 2023-11-15 01:02:05,753 - mmdet - INFO - Epoch [24][3750/7330] lr: 1.000e-04, eta: 6:34:12, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0310, loss_cls: 0.1608, acc: 94.1504, loss_bbox: 0.1992, loss_mask: 0.2105, loss: 0.6234 2023-11-15 01:02:18,905 - mmdet - INFO - Epoch [24][3800/7330] lr: 1.000e-04, eta: 6:33:59, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0335, loss_cls: 0.1622, acc: 94.0149, loss_bbox: 0.2057, loss_mask: 0.2131, loss: 0.6391 2023-11-15 01:02:31,733 - mmdet - INFO - Epoch [24][3850/7330] lr: 1.000e-04, eta: 6:33:46, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0302, loss_cls: 0.1638, acc: 94.1133, loss_bbox: 0.2071, loss_mask: 0.2111, loss: 0.6338 2023-11-15 01:02:44,481 - mmdet - INFO - Epoch [24][3900/7330] lr: 1.000e-04, eta: 6:33:33, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0357, loss_cls: 0.1649, acc: 93.9236, loss_bbox: 0.2139, loss_mask: 0.2156, loss: 0.6547 2023-11-15 01:02:57,254 - mmdet - INFO - Epoch [24][3950/7330] lr: 1.000e-04, eta: 6:33:20, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0342, loss_cls: 0.1689, acc: 93.8296, loss_bbox: 0.2091, loss_mask: 0.2101, loss: 0.6469 2023-11-15 01:03:10,200 - mmdet - INFO - Epoch [24][4000/7330] lr: 1.000e-04, eta: 6:33:08, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0338, loss_cls: 0.1684, acc: 93.8979, loss_bbox: 0.2114, loss_mask: 0.2186, loss: 0.6567 2023-11-15 01:03:23,105 - mmdet - INFO - Epoch [24][4050/7330] lr: 1.000e-04, eta: 6:32:55, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0293, loss_cls: 0.1520, acc: 94.4011, loss_bbox: 0.1947, loss_mask: 0.2086, loss: 0.6057 2023-11-15 01:03:35,950 - mmdet - INFO - Epoch [24][4100/7330] lr: 1.000e-04, eta: 6:32:42, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0331, loss_cls: 0.1561, acc: 94.3313, loss_bbox: 0.1942, loss_mask: 0.2044, loss: 0.6098 2023-11-15 01:03:48,619 - mmdet - INFO - Epoch [24][4150/7330] lr: 1.000e-04, eta: 6:32:29, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0323, loss_cls: 0.1627, acc: 94.0188, loss_bbox: 0.2074, loss_mask: 0.2103, loss: 0.6340 2023-11-15 01:04:01,422 - mmdet - INFO - Epoch [24][4200/7330] lr: 1.000e-04, eta: 6:32:16, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0306, loss_cls: 0.1609, acc: 94.2185, loss_bbox: 0.1954, loss_mask: 0.2063, loss: 0.6152 2023-11-15 01:04:14,360 - mmdet - INFO - Epoch [24][4250/7330] lr: 1.000e-04, eta: 6:32:03, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0343, loss_cls: 0.1636, acc: 94.0808, loss_bbox: 0.2060, loss_mask: 0.2125, loss: 0.6417 2023-11-15 01:04:27,151 - mmdet - INFO - Epoch [24][4300/7330] lr: 1.000e-04, eta: 6:31:50, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0309, loss_cls: 0.1544, acc: 94.3845, loss_bbox: 0.1953, loss_mask: 0.2082, loss: 0.6105 2023-11-15 01:04:40,169 - mmdet - INFO - Epoch [24][4350/7330] lr: 1.000e-04, eta: 6:31:37, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0334, loss_cls: 0.1653, acc: 94.0127, loss_bbox: 0.2080, loss_mask: 0.2183, loss: 0.6483 2023-11-15 01:04:53,129 - mmdet - INFO - Epoch [24][4400/7330] lr: 1.000e-04, eta: 6:31:24, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0318, loss_cls: 0.1592, acc: 94.0947, loss_bbox: 0.2048, loss_mask: 0.2072, loss: 0.6266 2023-11-15 01:05:05,856 - mmdet - INFO - Epoch [24][4450/7330] lr: 1.000e-04, eta: 6:31:11, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0323, loss_cls: 0.1654, acc: 93.9790, loss_bbox: 0.2083, loss_mask: 0.2134, loss: 0.6421 2023-11-15 01:05:18,774 - mmdet - INFO - Epoch [24][4500/7330] lr: 1.000e-04, eta: 6:30:58, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0315, loss_cls: 0.1623, acc: 94.0386, loss_bbox: 0.2005, loss_mask: 0.2048, loss: 0.6213 2023-11-15 01:05:31,542 - mmdet - INFO - Epoch [24][4550/7330] lr: 1.000e-04, eta: 6:30:45, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0306, loss_cls: 0.1595, acc: 94.0312, loss_bbox: 0.2058, loss_mask: 0.2054, loss: 0.6213 2023-11-15 01:05:44,275 - mmdet - INFO - Epoch [24][4600/7330] lr: 1.000e-04, eta: 6:30:32, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0286, loss_cls: 0.1548, acc: 94.3428, loss_bbox: 0.1956, loss_mask: 0.2086, loss: 0.6089 2023-11-15 01:05:57,026 - mmdet - INFO - Epoch [24][4650/7330] lr: 1.000e-04, eta: 6:30:19, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0309, loss_cls: 0.1555, acc: 94.3467, loss_bbox: 0.2004, loss_mask: 0.2101, loss: 0.6192 2023-11-15 01:06:09,778 - mmdet - INFO - Epoch [24][4700/7330] lr: 1.000e-04, eta: 6:30:06, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0335, loss_cls: 0.1727, acc: 93.7844, loss_bbox: 0.2121, loss_mask: 0.2176, loss: 0.6595 2023-11-15 01:06:22,742 - mmdet - INFO - Epoch [24][4750/7330] lr: 1.000e-04, eta: 6:29:53, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0323, loss_cls: 0.1680, acc: 93.8818, loss_bbox: 0.2082, loss_mask: 0.2127, loss: 0.6452 2023-11-15 01:06:35,523 - mmdet - INFO - Epoch [24][4800/7330] lr: 1.000e-04, eta: 6:29:40, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0330, loss_cls: 0.1567, acc: 94.2175, loss_bbox: 0.1989, loss_mask: 0.2127, loss: 0.6264 2023-11-15 01:06:48,057 - mmdet - INFO - Epoch [24][4850/7330] lr: 1.000e-04, eta: 6:29:27, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0313, loss_cls: 0.1528, acc: 94.3938, loss_bbox: 0.1960, loss_mask: 0.2066, loss: 0.6068 2023-11-15 01:07:00,867 - mmdet - INFO - Epoch [24][4900/7330] lr: 1.000e-04, eta: 6:29:14, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0302, loss_cls: 0.1553, acc: 94.5051, loss_bbox: 0.1922, loss_mask: 0.2056, loss: 0.6046 2023-11-15 01:07:13,437 - mmdet - INFO - Epoch [24][4950/7330] lr: 1.000e-04, eta: 6:29:01, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0316, loss_cls: 0.1548, acc: 94.2710, loss_bbox: 0.1979, loss_mask: 0.2066, loss: 0.6127 2023-11-15 01:07:26,234 - mmdet - INFO - Epoch [24][5000/7330] lr: 1.000e-04, eta: 6:28:48, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0322, loss_cls: 0.1613, acc: 94.1194, loss_bbox: 0.1998, loss_mask: 0.2056, loss: 0.6221 2023-11-15 01:07:39,324 - mmdet - INFO - Epoch [24][5050/7330] lr: 1.000e-04, eta: 6:28:35, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0318, loss_cls: 0.1601, acc: 94.1375, loss_bbox: 0.2015, loss_mask: 0.2099, loss: 0.6261 2023-11-15 01:07:52,039 - mmdet - INFO - Epoch [24][5100/7330] lr: 1.000e-04, eta: 6:28:22, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0311, loss_cls: 0.1533, acc: 94.3062, loss_bbox: 0.2013, loss_mask: 0.2107, loss: 0.6193 2023-11-15 01:08:05,250 - mmdet - INFO - Epoch [24][5150/7330] lr: 1.000e-04, eta: 6:28:09, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0319, loss_cls: 0.1579, acc: 94.2280, loss_bbox: 0.2024, loss_mask: 0.2118, loss: 0.6248 2023-11-15 01:08:17,991 - mmdet - INFO - Epoch [24][5200/7330] lr: 1.000e-04, eta: 6:27:56, time: 0.255, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0319, loss_cls: 0.1615, acc: 94.0312, loss_bbox: 0.2072, loss_mask: 0.2112, loss: 0.6347 2023-11-15 01:08:30,837 - mmdet - INFO - Epoch [24][5250/7330] lr: 1.000e-04, eta: 6:27:43, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0345, loss_cls: 0.1605, acc: 94.0886, loss_bbox: 0.2087, loss_mask: 0.2134, loss: 0.6411 2023-11-15 01:08:43,671 - mmdet - INFO - Epoch [24][5300/7330] lr: 1.000e-04, eta: 6:27:30, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0297, loss_cls: 0.1560, acc: 94.3196, loss_bbox: 0.1950, loss_mask: 0.2057, loss: 0.6073 2023-11-15 01:08:56,542 - mmdet - INFO - Epoch [24][5350/7330] lr: 1.000e-04, eta: 6:27:17, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0318, loss_cls: 0.1598, acc: 94.1853, loss_bbox: 0.2036, loss_mask: 0.2039, loss: 0.6211 2023-11-15 01:09:09,242 - mmdet - INFO - Epoch [24][5400/7330] lr: 1.000e-04, eta: 6:27:04, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0304, loss_cls: 0.1570, acc: 94.2485, loss_bbox: 0.1990, loss_mask: 0.2071, loss: 0.6143 2023-11-15 01:09:22,076 - mmdet - INFO - Epoch [24][5450/7330] lr: 1.000e-04, eta: 6:26:51, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0309, loss_cls: 0.1633, acc: 94.1743, loss_bbox: 0.2035, loss_mask: 0.2184, loss: 0.6377 2023-11-15 01:09:34,733 - mmdet - INFO - Epoch [24][5500/7330] lr: 1.000e-04, eta: 6:26:38, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0312, loss_cls: 0.1607, acc: 94.1343, loss_bbox: 0.2000, loss_mask: 0.2096, loss: 0.6246 2023-11-15 01:09:47,405 - mmdet - INFO - Epoch [24][5550/7330] lr: 1.000e-04, eta: 6:26:25, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0329, loss_cls: 0.1604, acc: 94.1558, loss_bbox: 0.2018, loss_mask: 0.2129, loss: 0.6323 2023-11-15 01:10:00,113 - mmdet - INFO - Epoch [24][5600/7330] lr: 1.000e-04, eta: 6:26:12, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0308, loss_cls: 0.1559, acc: 94.3054, loss_bbox: 0.2032, loss_mask: 0.2138, loss: 0.6276 2023-11-15 01:10:12,707 - mmdet - INFO - Epoch [24][5650/7330] lr: 1.000e-04, eta: 6:25:59, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0323, loss_cls: 0.1654, acc: 93.9656, loss_bbox: 0.2109, loss_mask: 0.2148, loss: 0.6467 2023-11-15 01:10:25,350 - mmdet - INFO - Epoch [24][5700/7330] lr: 1.000e-04, eta: 6:25:46, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0322, loss_cls: 0.1632, acc: 93.9834, loss_bbox: 0.2060, loss_mask: 0.2142, loss: 0.6393 2023-11-15 01:10:38,094 - mmdet - INFO - Epoch [24][5750/7330] lr: 1.000e-04, eta: 6:25:33, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0321, loss_cls: 0.1630, acc: 94.0093, loss_bbox: 0.2083, loss_mask: 0.2179, loss: 0.6432 2023-11-15 01:10:51,011 - mmdet - INFO - Epoch [24][5800/7330] lr: 1.000e-04, eta: 6:25:20, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0315, loss_cls: 0.1571, acc: 94.2432, loss_bbox: 0.2045, loss_mask: 0.2127, loss: 0.6258 2023-11-15 01:11:03,962 - mmdet - INFO - Epoch [24][5850/7330] lr: 1.000e-04, eta: 6:25:07, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0315, loss_cls: 0.1618, acc: 94.0798, loss_bbox: 0.2083, loss_mask: 0.2121, loss: 0.6359 2023-11-15 01:11:16,688 - mmdet - INFO - Epoch [24][5900/7330] lr: 1.000e-04, eta: 6:24:54, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0310, loss_cls: 0.1552, acc: 94.3813, loss_bbox: 0.1980, loss_mask: 0.2084, loss: 0.6137 2023-11-15 01:11:29,349 - mmdet - INFO - Epoch [24][5950/7330] lr: 1.000e-04, eta: 6:24:41, time: 0.253, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0322, loss_cls: 0.1565, acc: 94.2090, loss_bbox: 0.1997, loss_mask: 0.2083, loss: 0.6180 2023-11-15 01:11:42,259 - mmdet - INFO - Epoch [24][6000/7330] lr: 1.000e-04, eta: 6:24:28, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0283, loss_cls: 0.1558, acc: 94.3652, loss_bbox: 0.1982, loss_mask: 0.2105, loss: 0.6139 2023-11-15 01:11:54,880 - mmdet - INFO - Epoch [24][6050/7330] lr: 1.000e-04, eta: 6:24:15, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0321, loss_cls: 0.1594, acc: 94.2312, loss_bbox: 0.2043, loss_mask: 0.2125, loss: 0.6308 2023-11-15 01:12:07,666 - mmdet - INFO - Epoch [24][6100/7330] lr: 1.000e-04, eta: 6:24:02, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0351, loss_cls: 0.1659, acc: 93.8931, loss_bbox: 0.2140, loss_mask: 0.2204, loss: 0.6602 2023-11-15 01:12:20,166 - mmdet - INFO - Epoch [24][6150/7330] lr: 1.000e-04, eta: 6:23:49, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0319, loss_cls: 0.1677, acc: 94.0198, loss_bbox: 0.2108, loss_mask: 0.2175, loss: 0.6526 2023-11-15 01:12:32,922 - mmdet - INFO - Epoch [24][6200/7330] lr: 1.000e-04, eta: 6:23:36, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0311, loss_cls: 0.1609, acc: 94.2229, loss_bbox: 0.2016, loss_mask: 0.2080, loss: 0.6241 2023-11-15 01:12:45,709 - mmdet - INFO - Epoch [24][6250/7330] lr: 1.000e-04, eta: 6:23:23, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0320, loss_cls: 0.1598, acc: 94.1409, loss_bbox: 0.2058, loss_mask: 0.2171, loss: 0.6361 2023-11-15 01:12:58,388 - mmdet - INFO - Epoch [24][6300/7330] lr: 1.000e-04, eta: 6:23:10, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0306, loss_cls: 0.1548, acc: 94.4304, loss_bbox: 0.1953, loss_mask: 0.2050, loss: 0.6082 2023-11-15 01:13:11,286 - mmdet - INFO - Epoch [24][6350/7330] lr: 1.000e-04, eta: 6:22:57, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0300, loss_cls: 0.1513, acc: 94.4429, loss_bbox: 0.1951, loss_mask: 0.2084, loss: 0.6034 2023-11-15 01:13:23,916 - mmdet - INFO - Epoch [24][6400/7330] lr: 1.000e-04, eta: 6:22:44, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0295, loss_cls: 0.1575, acc: 94.1912, loss_bbox: 0.2020, loss_mask: 0.2074, loss: 0.6189 2023-11-15 01:13:36,405 - mmdet - INFO - Epoch [24][6450/7330] lr: 1.000e-04, eta: 6:22:31, time: 0.250, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0288, loss_cls: 0.1542, acc: 94.4714, loss_bbox: 0.1934, loss_mask: 0.2063, loss: 0.6048 2023-11-15 01:13:49,141 - mmdet - INFO - Epoch [24][6500/7330] lr: 1.000e-04, eta: 6:22:18, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0324, loss_cls: 0.1686, acc: 93.9297, loss_bbox: 0.2077, loss_mask: 0.2130, loss: 0.6441 2023-11-15 01:14:02,130 - mmdet - INFO - Epoch [24][6550/7330] lr: 1.000e-04, eta: 6:22:05, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0297, loss_cls: 0.1607, acc: 94.0461, loss_bbox: 0.2047, loss_mask: 0.2117, loss: 0.6297 2023-11-15 01:14:14,900 - mmdet - INFO - Epoch [24][6600/7330] lr: 1.000e-04, eta: 6:21:52, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0323, loss_cls: 0.1627, acc: 94.0793, loss_bbox: 0.2082, loss_mask: 0.2135, loss: 0.6402 2023-11-15 01:14:27,518 - mmdet - INFO - Epoch [24][6650/7330] lr: 1.000e-04, eta: 6:21:39, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0320, loss_cls: 0.1602, acc: 94.2095, loss_bbox: 0.1989, loss_mask: 0.2081, loss: 0.6200 2023-11-15 01:14:40,303 - mmdet - INFO - Epoch [24][6700/7330] lr: 1.000e-04, eta: 6:21:26, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0347, loss_cls: 0.1623, acc: 94.0222, loss_bbox: 0.2029, loss_mask: 0.2063, loss: 0.6309 2023-11-15 01:14:53,226 - mmdet - INFO - Epoch [24][6750/7330] lr: 1.000e-04, eta: 6:21:13, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0335, loss_cls: 0.1677, acc: 93.9595, loss_bbox: 0.2111, loss_mask: 0.2084, loss: 0.6451 2023-11-15 01:15:05,970 - mmdet - INFO - Epoch [24][6800/7330] lr: 1.000e-04, eta: 6:21:00, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0332, loss_cls: 0.1643, acc: 94.0220, loss_bbox: 0.2049, loss_mask: 0.2098, loss: 0.6345 2023-11-15 01:15:18,725 - mmdet - INFO - Epoch [24][6850/7330] lr: 1.000e-04, eta: 6:20:47, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0308, loss_cls: 0.1677, acc: 93.9888, loss_bbox: 0.2041, loss_mask: 0.2113, loss: 0.6366 2023-11-15 01:15:31,642 - mmdet - INFO - Epoch [24][6900/7330] lr: 1.000e-04, eta: 6:20:34, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0302, loss_cls: 0.1521, acc: 94.4946, loss_bbox: 0.1956, loss_mask: 0.2030, loss: 0.6012 2023-11-15 01:15:44,383 - mmdet - INFO - Epoch [24][6950/7330] lr: 1.000e-04, eta: 6:20:21, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0308, loss_cls: 0.1559, acc: 94.2646, loss_bbox: 0.2025, loss_mask: 0.2073, loss: 0.6199 2023-11-15 01:15:57,190 - mmdet - INFO - Epoch [24][7000/7330] lr: 1.000e-04, eta: 6:20:08, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0313, loss_cls: 0.1540, acc: 94.3711, loss_bbox: 0.1990, loss_mask: 0.2114, loss: 0.6169 2023-11-15 01:16:09,682 - mmdet - INFO - Epoch [24][7050/7330] lr: 1.000e-04, eta: 6:19:55, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0305, loss_cls: 0.1618, acc: 94.2434, loss_bbox: 0.2006, loss_mask: 0.2176, loss: 0.6335 2023-11-15 01:16:22,400 - mmdet - INFO - Epoch [24][7100/7330] lr: 1.000e-04, eta: 6:19:42, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0328, loss_cls: 0.1571, acc: 94.2053, loss_bbox: 0.2020, loss_mask: 0.2109, loss: 0.6256 2023-11-15 01:16:35,208 - mmdet - INFO - Epoch [24][7150/7330] lr: 1.000e-04, eta: 6:19:29, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0298, loss_cls: 0.1554, acc: 94.4067, loss_bbox: 0.1958, loss_mask: 0.2116, loss: 0.6147 2023-11-15 01:16:47,975 - mmdet - INFO - Epoch [24][7200/7330] lr: 1.000e-04, eta: 6:19:16, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0315, loss_cls: 0.1594, acc: 94.2007, loss_bbox: 0.2035, loss_mask: 0.2132, loss: 0.6314 2023-11-15 01:17:00,862 - mmdet - INFO - Epoch [24][7250/7330] lr: 1.000e-04, eta: 6:19:03, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0251, loss_rpn_bbox: 0.0339, loss_cls: 0.1673, acc: 93.9541, loss_bbox: 0.2072, loss_mask: 0.2108, loss: 0.6443 2023-11-15 01:17:13,634 - mmdet - INFO - Epoch [24][7300/7330] lr: 1.000e-04, eta: 6:18:50, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0335, loss_cls: 0.1628, acc: 94.1846, loss_bbox: 0.2020, loss_mask: 0.2068, loss: 0.6276 2023-11-15 01:17:21,930 - mmdet - INFO - Saving checkpoint at 24 epochs 2023-11-15 01:18:08,296 - mmdet - INFO - Evaluating bbox... 2023-11-15 01:18:39,199 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.468 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.685 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.300 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.510 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 ] = 0.597 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 ] = 0.414 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 ] = 0.732 2023-11-15 01:18:39,201 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.579 | bicycle | 0.377 | car | 0.487 | | motorcycle | 0.491 | airplane | 0.692 | bus | 0.696 | | train | 0.664 | truck | 0.432 | boat | 0.322 | | traffic light | 0.315 | fire hydrant | 0.701 | stop sign | 0.649 | | parking meter | 0.520 | bench | 0.290 | bird | 0.387 | | cat | 0.724 | dog | 0.693 | horse | 0.629 | | sheep | 0.539 | cow | 0.593 | elephant | 0.681 | | bear | 0.730 | zebra | 0.686 | giraffe | 0.682 | | backpack | 0.203 | umbrella | 0.450 | handbag | 0.218 | | tie | 0.390 | suitcase | 0.441 | frisbee | 0.704 | | skis | 0.288 | snowboard | 0.411 | sports ball | 0.472 | | kite | 0.470 | baseball bat | 0.414 | baseball glove | 0.438 | | skateboard | 0.598 | surfboard | 0.435 | tennis racket | 0.562 | | bottle | 0.451 | wine glass | 0.432 | cup | 0.479 | | fork | 0.467 | knife | 0.274 | spoon | 0.283 | | bowl | 0.447 | banana | 0.267 | apple | 0.249 | | sandwich | 0.374 | orange | 0.341 | broccoli | 0.274 | | carrot | 0.241 | hot dog | 0.437 | pizza | 0.567 | | donut | 0.550 | cake | 0.398 | chair | 0.349 | | couch | 0.471 | potted plant | 0.339 | bed | 0.471 | | dining table | 0.307 | toilet | 0.637 | tv | 0.618 | | laptop | 0.666 | mouse | 0.644 | remote | 0.408 | | keyboard | 0.539 | cell phone | 0.425 | microwave | 0.604 | | oven | 0.399 | toaster | 0.466 | sink | 0.432 | | refrigerator | 0.618 | book | 0.191 | clock | 0.533 | | vase | 0.427 | scissors | 0.357 | teddy bear | 0.514 | | hair drier | 0.125 | toothbrush | 0.286 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 01:18:39,201 - mmdet - INFO - Evaluating segm... 2023-11-15 01:19:13,098 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.417 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.653 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.452 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.213 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.453 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.600 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.538 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.349 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.579 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.691 2023-11-15 01:19:13,100 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.498 | bicycle | 0.225 | car | 0.435 | | motorcycle | 0.402 | airplane | 0.542 | bus | 0.676 | | train | 0.656 | truck | 0.418 | boat | 0.296 | | traffic light | 0.288 | fire hydrant | 0.682 | stop sign | 0.637 | | parking meter | 0.524 | bench | 0.220 | bird | 0.319 | | cat | 0.701 | dog | 0.641 | horse | 0.460 | | sheep | 0.485 | cow | 0.506 | elephant | 0.615 | | bear | 0.718 | zebra | 0.588 | giraffe | 0.545 | | backpack | 0.194 | umbrella | 0.511 | handbag | 0.205 | | tie | 0.334 | suitcase | 0.459 | frisbee | 0.657 | | skis | 0.048 | snowboard | 0.242 | sports ball | 0.438 | | kite | 0.317 | baseball bat | 0.310 | baseball glove | 0.433 | | skateboard | 0.389 | surfboard | 0.355 | tennis racket | 0.587 | | bottle | 0.411 | wine glass | 0.363 | cup | 0.471 | | fork | 0.234 | knife | 0.170 | spoon | 0.202 | | bowl | 0.410 | banana | 0.220 | apple | 0.236 | | sandwich | 0.398 | orange | 0.339 | broccoli | 0.250 | | carrot | 0.213 | hot dog | 0.353 | pizza | 0.531 | | donut | 0.553 | cake | 0.404 | chair | 0.242 | | couch | 0.395 | potted plant | 0.280 | bed | 0.368 | | dining table | 0.173 | toilet | 0.608 | tv | 0.645 | | laptop | 0.664 | mouse | 0.618 | remote | 0.352 | | keyboard | 0.534 | cell phone | 0.399 | microwave | 0.628 | | oven | 0.372 | toaster | 0.517 | sink | 0.410 | | refrigerator | 0.633 | book | 0.135 | clock | 0.520 | | vase | 0.409 | scissors | 0.288 | teddy bear | 0.481 | | hair drier | 0.135 | toothbrush | 0.229 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 01:19:13,577 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 01:19:13,577 - mmdet - INFO - Epoch(val) [24][625] bbox_mAP: 0.4676, bbox_mAP_50: 0.6845, bbox_mAP_75: 0.5142, bbox_mAP_s: 0.2999, bbox_mAP_m: 0.5096, bbox_mAP_l: 0.6020, bbox_mAP_copypaste: 0.4676 0.6845 0.5142 0.2999 0.5096 0.6020, segm_mAP: 0.4169, segm_mAP_50: 0.6535, segm_mAP_75: 0.4516, segm_mAP_s: 0.2133, segm_mAP_m: 0.4528, segm_mAP_l: 0.6000, segm_mAP_copypaste: 0.4169 0.6535 0.4516 0.2133 0.4528 0.6000 2023-11-15 01:19:32,228 - mmdet - INFO - Epoch [25][50/7330] lr: 1.000e-04, eta: 6:18:29, time: 0.373, data_time: 0.120, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0304, loss_cls: 0.1503, acc: 94.4353, loss_bbox: 0.1988, loss_mask: 0.2106, loss: 0.6111 2023-11-15 01:19:45,480 - mmdet - INFO - Epoch [25][100/7330] lr: 1.000e-04, eta: 6:18:16, time: 0.265, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0322, loss_cls: 0.1545, acc: 94.1794, loss_bbox: 0.2045, loss_mask: 0.2094, loss: 0.6230 2023-11-15 01:19:58,701 - mmdet - INFO - Epoch [25][150/7330] lr: 1.000e-04, eta: 6:18:03, time: 0.264, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0333, loss_cls: 0.1533, acc: 94.3057, loss_bbox: 0.2048, loss_mask: 0.2088, loss: 0.6220 2023-11-15 01:20:11,845 - mmdet - INFO - Epoch [25][200/7330] lr: 1.000e-04, eta: 6:17:50, time: 0.263, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0303, loss_cls: 0.1498, acc: 94.4709, loss_bbox: 0.1972, loss_mask: 0.2123, loss: 0.6107 2023-11-15 01:20:25,010 - mmdet - INFO - Epoch [25][250/7330] lr: 1.000e-04, eta: 6:17:37, time: 0.263, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0311, loss_cls: 0.1600, acc: 94.2153, loss_bbox: 0.2015, loss_mask: 0.2104, loss: 0.6240 2023-11-15 01:20:38,287 - mmdet - INFO - Epoch [25][300/7330] lr: 1.000e-04, eta: 6:17:25, time: 0.265, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0333, loss_cls: 0.1606, acc: 94.0955, loss_bbox: 0.2052, loss_mask: 0.2102, loss: 0.6330 2023-11-15 01:20:51,745 - mmdet - INFO - Epoch [25][350/7330] lr: 1.000e-04, eta: 6:17:12, time: 0.269, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0322, loss_cls: 0.1585, acc: 94.1907, loss_bbox: 0.2038, loss_mask: 0.2080, loss: 0.6222 2023-11-15 01:21:04,437 - mmdet - INFO - Epoch [25][400/7330] lr: 1.000e-04, eta: 6:16:59, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0310, loss_cls: 0.1520, acc: 94.3606, loss_bbox: 0.1950, loss_mask: 0.2020, loss: 0.6000 2023-11-15 01:21:17,139 - mmdet - INFO - Epoch [25][450/7330] lr: 1.000e-04, eta: 6:16:46, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0315, loss_cls: 0.1527, acc: 94.4275, loss_bbox: 0.2023, loss_mask: 0.2130, loss: 0.6215 2023-11-15 01:21:30,287 - mmdet - INFO - Epoch [25][500/7330] lr: 1.000e-04, eta: 6:16:33, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0246, loss_rpn_bbox: 0.0330, loss_cls: 0.1553, acc: 94.3479, loss_bbox: 0.2025, loss_mask: 0.2097, loss: 0.6251 2023-11-15 01:21:43,172 - mmdet - INFO - Epoch [25][550/7330] lr: 1.000e-04, eta: 6:16:20, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0305, loss_cls: 0.1467, acc: 94.6099, loss_bbox: 0.1883, loss_mask: 0.2049, loss: 0.5897 2023-11-15 01:21:56,094 - mmdet - INFO - Epoch [25][600/7330] lr: 1.000e-04, eta: 6:16:07, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0308, loss_cls: 0.1508, acc: 94.4412, loss_bbox: 0.1946, loss_mask: 0.1995, loss: 0.5956 2023-11-15 01:22:09,248 - mmdet - INFO - Epoch [25][650/7330] lr: 1.000e-04, eta: 6:15:55, time: 0.263, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0323, loss_cls: 0.1564, acc: 94.2200, loss_bbox: 0.2004, loss_mask: 0.2085, loss: 0.6202 2023-11-15 01:22:22,252 - mmdet - INFO - Epoch [25][700/7330] lr: 1.000e-04, eta: 6:15:42, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0324, loss_cls: 0.1550, acc: 94.2742, loss_bbox: 0.2014, loss_mask: 0.2058, loss: 0.6170 2023-11-15 01:22:35,143 - mmdet - INFO - Epoch [25][750/7330] lr: 1.000e-04, eta: 6:15:29, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0334, loss_cls: 0.1604, acc: 94.1077, loss_bbox: 0.2028, loss_mask: 0.2085, loss: 0.6287 2023-11-15 01:22:47,801 - mmdet - INFO - Epoch [25][800/7330] lr: 1.000e-04, eta: 6:15:16, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0296, loss_cls: 0.1555, acc: 94.2903, loss_bbox: 0.2006, loss_mask: 0.2094, loss: 0.6159 2023-11-15 01:23:00,954 - mmdet - INFO - Epoch [25][850/7330] lr: 1.000e-04, eta: 6:15:03, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0290, loss_cls: 0.1516, acc: 94.4924, loss_bbox: 0.1980, loss_mask: 0.2075, loss: 0.6064 2023-11-15 01:23:13,858 - mmdet - INFO - Epoch [25][900/7330] lr: 1.000e-04, eta: 6:14:50, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0318, loss_cls: 0.1539, acc: 94.2358, loss_bbox: 0.2026, loss_mask: 0.2057, loss: 0.6152 2023-11-15 01:23:26,815 - mmdet - INFO - Epoch [25][950/7330] lr: 1.000e-04, eta: 6:14:37, time: 0.259, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0340, loss_cls: 0.1583, acc: 94.2090, loss_bbox: 0.2082, loss_mask: 0.2077, loss: 0.6302 2023-11-15 01:23:39,627 - mmdet - INFO - Epoch [25][1000/7330] lr: 1.000e-04, eta: 6:14:24, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0319, loss_cls: 0.1572, acc: 94.2922, loss_bbox: 0.1996, loss_mask: 0.2094, loss: 0.6212 2023-11-15 01:23:52,876 - mmdet - INFO - Epoch [25][1050/7330] lr: 1.000e-04, eta: 6:14:11, time: 0.265, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0334, loss_cls: 0.1615, acc: 94.0789, loss_bbox: 0.2060, loss_mask: 0.2196, loss: 0.6430 2023-11-15 01:24:05,871 - mmdet - INFO - Epoch [25][1100/7330] lr: 1.000e-04, eta: 6:13:59, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0309, loss_cls: 0.1562, acc: 94.2876, loss_bbox: 0.1979, loss_mask: 0.2106, loss: 0.6153 2023-11-15 01:24:18,751 - mmdet - INFO - Epoch [25][1150/7330] lr: 1.000e-04, eta: 6:13:46, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0299, loss_cls: 0.1523, acc: 94.4453, loss_bbox: 0.2001, loss_mask: 0.2095, loss: 0.6119 2023-11-15 01:24:31,417 - mmdet - INFO - Epoch [25][1200/7330] lr: 1.000e-04, eta: 6:13:33, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0298, loss_cls: 0.1537, acc: 94.3728, loss_bbox: 0.1962, loss_mask: 0.2074, loss: 0.6079 2023-11-15 01:24:44,314 - mmdet - INFO - Epoch [25][1250/7330] lr: 1.000e-04, eta: 6:13:20, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0292, loss_cls: 0.1460, acc: 94.6562, loss_bbox: 0.1890, loss_mask: 0.1987, loss: 0.5822 2023-11-15 01:24:57,400 - mmdet - INFO - Epoch [25][1300/7330] lr: 1.000e-04, eta: 6:13:07, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0285, loss_cls: 0.1458, acc: 94.5996, loss_bbox: 0.1870, loss_mask: 0.2065, loss: 0.5860 2023-11-15 01:25:10,278 - mmdet - INFO - Epoch [25][1350/7330] lr: 1.000e-04, eta: 6:12:54, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0301, loss_cls: 0.1583, acc: 94.1838, loss_bbox: 0.1995, loss_mask: 0.2060, loss: 0.6149 2023-11-15 01:25:23,309 - mmdet - INFO - Epoch [25][1400/7330] lr: 1.000e-04, eta: 6:12:41, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0318, loss_cls: 0.1602, acc: 94.1702, loss_bbox: 0.2017, loss_mask: 0.2042, loss: 0.6206 2023-11-15 01:25:36,309 - mmdet - INFO - Epoch [25][1450/7330] lr: 1.000e-04, eta: 6:12:28, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0315, loss_cls: 0.1513, acc: 94.4961, loss_bbox: 0.2002, loss_mask: 0.2079, loss: 0.6131 2023-11-15 01:25:49,582 - mmdet - INFO - Epoch [25][1500/7330] lr: 1.000e-04, eta: 6:12:15, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0306, loss_cls: 0.1498, acc: 94.4663, loss_bbox: 0.1995, loss_mask: 0.2058, loss: 0.6060 2023-11-15 01:26:02,477 - mmdet - INFO - Epoch [25][1550/7330] lr: 1.000e-04, eta: 6:12:02, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0298, loss_cls: 0.1494, acc: 94.5015, loss_bbox: 0.1939, loss_mask: 0.2099, loss: 0.6028 2023-11-15 01:26:15,242 - mmdet - INFO - Epoch [25][1600/7330] lr: 1.000e-04, eta: 6:11:49, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0322, loss_cls: 0.1610, acc: 94.0457, loss_bbox: 0.2083, loss_mask: 0.2081, loss: 0.6339 2023-11-15 01:26:27,808 - mmdet - INFO - Epoch [25][1650/7330] lr: 1.000e-04, eta: 6:11:36, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0311, loss_cls: 0.1550, acc: 94.3269, loss_bbox: 0.2007, loss_mask: 0.2074, loss: 0.6140 2023-11-15 01:26:40,716 - mmdet - INFO - Epoch [25][1700/7330] lr: 1.000e-04, eta: 6:11:23, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0307, loss_cls: 0.1512, acc: 94.4746, loss_bbox: 0.1993, loss_mask: 0.2094, loss: 0.6112 2023-11-15 01:26:53,420 - mmdet - INFO - Epoch [25][1750/7330] lr: 1.000e-04, eta: 6:11:10, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0333, loss_cls: 0.1597, acc: 94.1604, loss_bbox: 0.2032, loss_mask: 0.2113, loss: 0.6310 2023-11-15 01:27:06,306 - mmdet - INFO - Epoch [25][1800/7330] lr: 1.000e-04, eta: 6:10:57, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0329, loss_cls: 0.1613, acc: 94.0308, loss_bbox: 0.2072, loss_mask: 0.2084, loss: 0.6306 2023-11-15 01:27:19,452 - mmdet - INFO - Epoch [25][1850/7330] lr: 1.000e-04, eta: 6:10:45, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0331, loss_cls: 0.1540, acc: 94.3672, loss_bbox: 0.1972, loss_mask: 0.2013, loss: 0.6079 2023-11-15 01:27:32,337 - mmdet - INFO - Epoch [25][1900/7330] lr: 1.000e-04, eta: 6:10:32, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0307, loss_cls: 0.1566, acc: 94.3381, loss_bbox: 0.2051, loss_mask: 0.2084, loss: 0.6220 2023-11-15 01:27:45,284 - mmdet - INFO - Epoch [25][1950/7330] lr: 1.000e-04, eta: 6:10:19, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0288, loss_cls: 0.1470, acc: 94.5781, loss_bbox: 0.1897, loss_mask: 0.2055, loss: 0.5912 2023-11-15 01:27:58,535 - mmdet - INFO - Epoch [25][2000/7330] lr: 1.000e-04, eta: 6:10:06, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0326, loss_cls: 0.1582, acc: 94.1262, loss_bbox: 0.2027, loss_mask: 0.2073, loss: 0.6229 2023-11-15 01:28:11,598 - mmdet - INFO - Epoch [25][2050/7330] lr: 1.000e-04, eta: 6:09:53, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0313, loss_cls: 0.1581, acc: 94.1631, loss_bbox: 0.2050, loss_mask: 0.2078, loss: 0.6233 2023-11-15 01:28:24,674 - mmdet - INFO - Epoch [25][2100/7330] lr: 1.000e-04, eta: 6:09:40, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0343, loss_cls: 0.1626, acc: 94.1318, loss_bbox: 0.2030, loss_mask: 0.2111, loss: 0.6338 2023-11-15 01:28:37,339 - mmdet - INFO - Epoch [25][2150/7330] lr: 1.000e-04, eta: 6:09:27, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0283, loss_cls: 0.1484, acc: 94.6199, loss_bbox: 0.1899, loss_mask: 0.2008, loss: 0.5882 2023-11-15 01:28:50,219 - mmdet - INFO - Epoch [25][2200/7330] lr: 1.000e-04, eta: 6:09:14, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0309, loss_cls: 0.1570, acc: 94.2317, loss_bbox: 0.1988, loss_mask: 0.2058, loss: 0.6127 2023-11-15 01:29:03,324 - mmdet - INFO - Epoch [25][2250/7330] lr: 1.000e-04, eta: 6:09:02, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0317, loss_cls: 0.1536, acc: 94.3560, loss_bbox: 0.2012, loss_mask: 0.2066, loss: 0.6165 2023-11-15 01:29:16,479 - mmdet - INFO - Epoch [25][2300/7330] lr: 1.000e-04, eta: 6:08:49, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0304, loss_cls: 0.1534, acc: 94.3545, loss_bbox: 0.1931, loss_mask: 0.2043, loss: 0.6020 2023-11-15 01:29:29,333 - mmdet - INFO - Epoch [25][2350/7330] lr: 1.000e-04, eta: 6:08:36, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0323, loss_cls: 0.1641, acc: 93.9897, loss_bbox: 0.2070, loss_mask: 0.2117, loss: 0.6362 2023-11-15 01:29:42,069 - mmdet - INFO - Epoch [25][2400/7330] lr: 1.000e-04, eta: 6:08:23, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0315, loss_cls: 0.1563, acc: 94.3164, loss_bbox: 0.2014, loss_mask: 0.2037, loss: 0.6142 2023-11-15 01:29:54,880 - mmdet - INFO - Epoch [25][2450/7330] lr: 1.000e-04, eta: 6:08:10, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0331, loss_cls: 0.1565, acc: 94.2446, loss_bbox: 0.2022, loss_mask: 0.2062, loss: 0.6199 2023-11-15 01:30:07,573 - mmdet - INFO - Epoch [25][2500/7330] lr: 1.000e-04, eta: 6:07:57, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0310, loss_cls: 0.1510, acc: 94.4434, loss_bbox: 0.1995, loss_mask: 0.2093, loss: 0.6120 2023-11-15 01:30:20,401 - mmdet - INFO - Epoch [25][2550/7330] lr: 1.000e-04, eta: 6:07:44, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0319, loss_cls: 0.1583, acc: 94.2080, loss_bbox: 0.2041, loss_mask: 0.2119, loss: 0.6264 2023-11-15 01:30:33,232 - mmdet - INFO - Epoch [25][2600/7330] lr: 1.000e-04, eta: 6:07:31, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0314, loss_cls: 0.1598, acc: 94.1467, loss_bbox: 0.2011, loss_mask: 0.2145, loss: 0.6289 2023-11-15 01:30:46,380 - mmdet - INFO - Epoch [25][2650/7330] lr: 1.000e-04, eta: 6:07:18, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0312, loss_cls: 0.1590, acc: 94.2607, loss_bbox: 0.1991, loss_mask: 0.2072, loss: 0.6177 2023-11-15 01:30:59,386 - mmdet - INFO - Epoch [25][2700/7330] lr: 1.000e-04, eta: 6:07:05, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0334, loss_cls: 0.1594, acc: 94.1914, loss_bbox: 0.2063, loss_mask: 0.2118, loss: 0.6322 2023-11-15 01:31:12,173 - mmdet - INFO - Epoch [25][2750/7330] lr: 1.000e-04, eta: 6:06:52, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0300, loss_cls: 0.1528, acc: 94.4187, loss_bbox: 0.1973, loss_mask: 0.2079, loss: 0.6089 2023-11-15 01:31:25,060 - mmdet - INFO - Epoch [25][2800/7330] lr: 1.000e-04, eta: 6:06:39, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0308, loss_cls: 0.1546, acc: 94.3704, loss_bbox: 0.1951, loss_mask: 0.2029, loss: 0.6059 2023-11-15 01:31:37,473 - mmdet - INFO - Epoch [25][2850/7330] lr: 1.000e-04, eta: 6:06:26, time: 0.248, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0297, loss_cls: 0.1481, acc: 94.5027, loss_bbox: 0.1989, loss_mask: 0.2085, loss: 0.6077 2023-11-15 01:31:50,723 - mmdet - INFO - Epoch [25][2900/7330] lr: 1.000e-04, eta: 6:06:13, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0328, loss_cls: 0.1506, acc: 94.4163, loss_bbox: 0.2012, loss_mask: 0.2105, loss: 0.6165 2023-11-15 01:32:03,397 - mmdet - INFO - Epoch [25][2950/7330] lr: 1.000e-04, eta: 6:06:00, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0333, loss_cls: 0.1661, acc: 93.8997, loss_bbox: 0.2123, loss_mask: 0.2139, loss: 0.6485 2023-11-15 01:32:16,317 - mmdet - INFO - Epoch [25][3000/7330] lr: 1.000e-04, eta: 6:05:47, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0294, loss_cls: 0.1554, acc: 94.3013, loss_bbox: 0.1996, loss_mask: 0.2088, loss: 0.6132 2023-11-15 01:32:29,197 - mmdet - INFO - Epoch [25][3050/7330] lr: 1.000e-04, eta: 6:05:35, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0341, loss_cls: 0.1612, acc: 94.1340, loss_bbox: 0.2029, loss_mask: 0.2132, loss: 0.6344 2023-11-15 01:32:42,301 - mmdet - INFO - Epoch [25][3100/7330] lr: 1.000e-04, eta: 6:05:22, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0323, loss_cls: 0.1593, acc: 94.1997, loss_bbox: 0.2038, loss_mask: 0.2150, loss: 0.6329 2023-11-15 01:32:55,356 - mmdet - INFO - Epoch [25][3150/7330] lr: 1.000e-04, eta: 6:05:09, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0319, loss_cls: 0.1578, acc: 94.3303, loss_bbox: 0.1983, loss_mask: 0.2080, loss: 0.6183 2023-11-15 01:33:08,556 - mmdet - INFO - Epoch [25][3200/7330] lr: 1.000e-04, eta: 6:04:56, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0323, loss_cls: 0.1612, acc: 94.1619, loss_bbox: 0.2013, loss_mask: 0.2097, loss: 0.6279 2023-11-15 01:33:21,662 - mmdet - INFO - Epoch [25][3250/7330] lr: 1.000e-04, eta: 6:04:43, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0325, loss_cls: 0.1593, acc: 94.2463, loss_bbox: 0.2028, loss_mask: 0.2135, loss: 0.6310 2023-11-15 01:33:34,415 - mmdet - INFO - Epoch [25][3300/7330] lr: 1.000e-04, eta: 6:04:30, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0316, loss_cls: 0.1540, acc: 94.4080, loss_bbox: 0.1985, loss_mask: 0.2081, loss: 0.6142 2023-11-15 01:33:47,587 - mmdet - INFO - Epoch [25][3350/7330] lr: 1.000e-04, eta: 6:04:17, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0330, loss_cls: 0.1587, acc: 94.1990, loss_bbox: 0.2012, loss_mask: 0.2128, loss: 0.6292 2023-11-15 01:34:00,195 - mmdet - INFO - Epoch [25][3400/7330] lr: 1.000e-04, eta: 6:04:04, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0311, loss_cls: 0.1550, acc: 94.3254, loss_bbox: 0.2014, loss_mask: 0.2064, loss: 0.6148 2023-11-15 01:34:13,033 - mmdet - INFO - Epoch [25][3450/7330] lr: 1.000e-04, eta: 6:03:51, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0272, loss_cls: 0.1460, acc: 94.6470, loss_bbox: 0.1893, loss_mask: 0.2041, loss: 0.5853 2023-11-15 01:34:25,871 - mmdet - INFO - Epoch [25][3500/7330] lr: 1.000e-04, eta: 6:03:39, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0308, loss_cls: 0.1585, acc: 94.2053, loss_bbox: 0.1997, loss_mask: 0.2094, loss: 0.6201 2023-11-15 01:34:38,937 - mmdet - INFO - Epoch [25][3550/7330] lr: 1.000e-04, eta: 6:03:26, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0324, loss_cls: 0.1649, acc: 94.0081, loss_bbox: 0.2095, loss_mask: 0.2164, loss: 0.6471 2023-11-15 01:34:52,059 - mmdet - INFO - Epoch [25][3600/7330] lr: 1.000e-04, eta: 6:03:13, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0327, loss_cls: 0.1564, acc: 94.3440, loss_bbox: 0.1990, loss_mask: 0.2067, loss: 0.6176 2023-11-15 01:35:05,035 - mmdet - INFO - Epoch [25][3650/7330] lr: 1.000e-04, eta: 6:03:00, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0308, loss_cls: 0.1592, acc: 94.2864, loss_bbox: 0.1999, loss_mask: 0.2098, loss: 0.6209 2023-11-15 01:35:18,384 - mmdet - INFO - Epoch [25][3700/7330] lr: 1.000e-04, eta: 6:02:47, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0329, loss_cls: 0.1573, acc: 94.2065, loss_bbox: 0.2045, loss_mask: 0.2116, loss: 0.6288 2023-11-15 01:35:31,546 - mmdet - INFO - Epoch [25][3750/7330] lr: 1.000e-04, eta: 6:02:34, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0309, loss_cls: 0.1560, acc: 94.3137, loss_bbox: 0.1950, loss_mask: 0.2005, loss: 0.6044 2023-11-15 01:35:44,377 - mmdet - INFO - Epoch [25][3800/7330] lr: 1.000e-04, eta: 6:02:21, time: 0.257, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0325, loss_cls: 0.1617, acc: 94.1255, loss_bbox: 0.2042, loss_mask: 0.2141, loss: 0.6347 2023-11-15 01:35:57,263 - mmdet - INFO - Epoch [25][3850/7330] lr: 1.000e-04, eta: 6:02:09, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0289, loss_cls: 0.1487, acc: 94.6858, loss_bbox: 0.1879, loss_mask: 0.2015, loss: 0.5867 2023-11-15 01:36:10,045 - mmdet - INFO - Epoch [25][3900/7330] lr: 1.000e-04, eta: 6:01:56, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0296, loss_cls: 0.1496, acc: 94.4956, loss_bbox: 0.1929, loss_mask: 0.2043, loss: 0.5974 2023-11-15 01:36:22,733 - mmdet - INFO - Epoch [25][3950/7330] lr: 1.000e-04, eta: 6:01:43, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0320, loss_cls: 0.1596, acc: 94.1880, loss_bbox: 0.2021, loss_mask: 0.2050, loss: 0.6224 2023-11-15 01:36:35,576 - mmdet - INFO - Epoch [25][4000/7330] lr: 1.000e-04, eta: 6:01:30, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0305, loss_cls: 0.1557, acc: 94.3508, loss_bbox: 0.1991, loss_mask: 0.2060, loss: 0.6131 2023-11-15 01:36:48,281 - mmdet - INFO - Epoch [25][4050/7330] lr: 1.000e-04, eta: 6:01:17, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0320, loss_cls: 0.1541, acc: 94.3479, loss_bbox: 0.1984, loss_mask: 0.2030, loss: 0.6100 2023-11-15 01:37:00,907 - mmdet - INFO - Epoch [25][4100/7330] lr: 1.000e-04, eta: 6:01:04, time: 0.253, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0307, loss_cls: 0.1543, acc: 94.3918, loss_bbox: 0.1972, loss_mask: 0.2073, loss: 0.6112 2023-11-15 01:37:14,016 - mmdet - INFO - Epoch [25][4150/7330] lr: 1.000e-04, eta: 6:00:51, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0348, loss_cls: 0.1710, acc: 93.7917, loss_bbox: 0.2124, loss_mask: 0.2146, loss: 0.6571 2023-11-15 01:37:26,633 - mmdet - INFO - Epoch [25][4200/7330] lr: 1.000e-04, eta: 6:00:38, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0308, loss_cls: 0.1563, acc: 94.3057, loss_bbox: 0.1953, loss_mask: 0.2088, loss: 0.6136 2023-11-15 01:37:39,227 - mmdet - INFO - Epoch [25][4250/7330] lr: 1.000e-04, eta: 6:00:25, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0301, loss_cls: 0.1560, acc: 94.3711, loss_bbox: 0.1960, loss_mask: 0.2097, loss: 0.6151 2023-11-15 01:37:52,053 - mmdet - INFO - Epoch [25][4300/7330] lr: 1.000e-04, eta: 6:00:12, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0295, loss_cls: 0.1577, acc: 94.3630, loss_bbox: 0.1976, loss_mask: 0.2091, loss: 0.6144 2023-11-15 01:38:04,836 - mmdet - INFO - Epoch [25][4350/7330] lr: 1.000e-04, eta: 5:59:59, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0316, loss_cls: 0.1573, acc: 94.2075, loss_bbox: 0.2030, loss_mask: 0.2100, loss: 0.6249 2023-11-15 01:38:17,847 - mmdet - INFO - Epoch [25][4400/7330] lr: 1.000e-04, eta: 5:59:46, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0328, loss_cls: 0.1599, acc: 94.0713, loss_bbox: 0.2026, loss_mask: 0.2074, loss: 0.6264 2023-11-15 01:38:30,678 - mmdet - INFO - Epoch [25][4450/7330] lr: 1.000e-04, eta: 5:59:33, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0348, loss_cls: 0.1614, acc: 94.0798, loss_bbox: 0.2083, loss_mask: 0.2136, loss: 0.6409 2023-11-15 01:38:43,212 - mmdet - INFO - Epoch [25][4500/7330] lr: 1.000e-04, eta: 5:59:20, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0256, loss_rpn_bbox: 0.0344, loss_cls: 0.1692, acc: 94.0007, loss_bbox: 0.2120, loss_mask: 0.2197, loss: 0.6609 2023-11-15 01:38:56,073 - mmdet - INFO - Epoch [25][4550/7330] lr: 1.000e-04, eta: 5:59:07, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0324, loss_cls: 0.1585, acc: 94.2251, loss_bbox: 0.2044, loss_mask: 0.2094, loss: 0.6278 2023-11-15 01:39:08,778 - mmdet - INFO - Epoch [25][4600/7330] lr: 1.000e-04, eta: 5:58:54, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0302, loss_cls: 0.1614, acc: 94.2004, loss_bbox: 0.2064, loss_mask: 0.2069, loss: 0.6264 2023-11-15 01:39:21,508 - mmdet - INFO - Epoch [25][4650/7330] lr: 1.000e-04, eta: 5:58:41, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0329, loss_cls: 0.1628, acc: 94.0857, loss_bbox: 0.2017, loss_mask: 0.2078, loss: 0.6278 2023-11-15 01:39:34,247 - mmdet - INFO - Epoch [25][4700/7330] lr: 1.000e-04, eta: 5:58:28, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0310, loss_cls: 0.1546, acc: 94.2625, loss_bbox: 0.1999, loss_mask: 0.2138, loss: 0.6207 2023-11-15 01:39:47,058 - mmdet - INFO - Epoch [25][4750/7330] lr: 1.000e-04, eta: 5:58:15, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0326, loss_cls: 0.1613, acc: 94.2476, loss_bbox: 0.2012, loss_mask: 0.2208, loss: 0.6393 2023-11-15 01:39:59,603 - mmdet - INFO - Epoch [25][4800/7330] lr: 1.000e-04, eta: 5:58:02, time: 0.251, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0316, loss_cls: 0.1575, acc: 94.2166, loss_bbox: 0.2000, loss_mask: 0.2141, loss: 0.6245 2023-11-15 01:40:12,149 - mmdet - INFO - Epoch [25][4850/7330] lr: 1.000e-04, eta: 5:57:49, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0303, loss_cls: 0.1567, acc: 94.3162, loss_bbox: 0.1970, loss_mask: 0.2092, loss: 0.6156 2023-11-15 01:40:25,492 - mmdet - INFO - Epoch [25][4900/7330] lr: 1.000e-04, eta: 5:57:36, time: 0.267, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0326, loss_cls: 0.1622, acc: 94.0129, loss_bbox: 0.2100, loss_mask: 0.2146, loss: 0.6430 2023-11-15 01:40:38,251 - mmdet - INFO - Epoch [25][4950/7330] lr: 1.000e-04, eta: 5:57:23, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0333, loss_cls: 0.1593, acc: 94.1631, loss_bbox: 0.2017, loss_mask: 0.2092, loss: 0.6241 2023-11-15 01:40:51,035 - mmdet - INFO - Epoch [25][5000/7330] lr: 1.000e-04, eta: 5:57:10, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0326, loss_cls: 0.1597, acc: 94.2354, loss_bbox: 0.2069, loss_mask: 0.2110, loss: 0.6331 2023-11-15 01:41:03,719 - mmdet - INFO - Epoch [25][5050/7330] lr: 1.000e-04, eta: 5:56:57, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0288, loss_cls: 0.1560, acc: 94.2859, loss_bbox: 0.1954, loss_mask: 0.2057, loss: 0.6085 2023-11-15 01:41:16,565 - mmdet - INFO - Epoch [25][5100/7330] lr: 1.000e-04, eta: 5:56:44, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0324, loss_cls: 0.1647, acc: 93.8555, loss_bbox: 0.2120, loss_mask: 0.2116, loss: 0.6447 2023-11-15 01:41:29,480 - mmdet - INFO - Epoch [25][5150/7330] lr: 1.000e-04, eta: 5:56:31, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0318, loss_cls: 0.1569, acc: 94.2905, loss_bbox: 0.2003, loss_mask: 0.2086, loss: 0.6196 2023-11-15 01:41:42,212 - mmdet - INFO - Epoch [25][5200/7330] lr: 1.000e-04, eta: 5:56:18, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0334, loss_cls: 0.1652, acc: 94.0635, loss_bbox: 0.2062, loss_mask: 0.2142, loss: 0.6439 2023-11-15 01:41:54,852 - mmdet - INFO - Epoch [25][5250/7330] lr: 1.000e-04, eta: 5:56:05, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0317, loss_cls: 0.1635, acc: 94.0723, loss_bbox: 0.2051, loss_mask: 0.2079, loss: 0.6301 2023-11-15 01:42:07,651 - mmdet - INFO - Epoch [25][5300/7330] lr: 1.000e-04, eta: 5:55:52, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0314, loss_cls: 0.1632, acc: 94.0669, loss_bbox: 0.2063, loss_mask: 0.2140, loss: 0.6368 2023-11-15 01:42:20,610 - mmdet - INFO - Epoch [25][5350/7330] lr: 1.000e-04, eta: 5:55:39, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0305, loss_cls: 0.1624, acc: 93.9849, loss_bbox: 0.2079, loss_mask: 0.2152, loss: 0.6375 2023-11-15 01:42:33,110 - mmdet - INFO - Epoch [25][5400/7330] lr: 1.000e-04, eta: 5:55:26, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0299, loss_cls: 0.1568, acc: 94.3259, loss_bbox: 0.1971, loss_mask: 0.2099, loss: 0.6154 2023-11-15 01:42:45,792 - mmdet - INFO - Epoch [25][5450/7330] lr: 1.000e-04, eta: 5:55:13, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0313, loss_cls: 0.1678, acc: 93.8794, loss_bbox: 0.2083, loss_mask: 0.2141, loss: 0.6431 2023-11-15 01:42:58,473 - mmdet - INFO - Epoch [25][5500/7330] lr: 1.000e-04, eta: 5:55:00, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0295, loss_cls: 0.1598, acc: 94.3044, loss_bbox: 0.1982, loss_mask: 0.2033, loss: 0.6135 2023-11-15 01:43:11,372 - mmdet - INFO - Epoch [25][5550/7330] lr: 1.000e-04, eta: 5:54:47, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0332, loss_cls: 0.1591, acc: 94.2654, loss_bbox: 0.2010, loss_mask: 0.2120, loss: 0.6276 2023-11-15 01:43:23,993 - mmdet - INFO - Epoch [25][5600/7330] lr: 1.000e-04, eta: 5:54:34, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0298, loss_cls: 0.1503, acc: 94.6465, loss_bbox: 0.1901, loss_mask: 0.2023, loss: 0.5916 2023-11-15 01:43:36,984 - mmdet - INFO - Epoch [25][5650/7330] lr: 1.000e-04, eta: 5:54:21, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0319, loss_cls: 0.1585, acc: 94.0911, loss_bbox: 0.2039, loss_mask: 0.2112, loss: 0.6260 2023-11-15 01:43:49,829 - mmdet - INFO - Epoch [25][5700/7330] lr: 1.000e-04, eta: 5:54:08, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0254, loss_rpn_bbox: 0.0318, loss_cls: 0.1589, acc: 94.2590, loss_bbox: 0.1989, loss_mask: 0.2101, loss: 0.6252 2023-11-15 01:44:02,340 - mmdet - INFO - Epoch [25][5750/7330] lr: 1.000e-04, eta: 5:53:55, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0311, loss_cls: 0.1600, acc: 94.2546, loss_bbox: 0.1966, loss_mask: 0.2116, loss: 0.6213 2023-11-15 01:44:15,152 - mmdet - INFO - Epoch [25][5800/7330] lr: 1.000e-04, eta: 5:53:42, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0318, loss_cls: 0.1542, acc: 94.3557, loss_bbox: 0.1998, loss_mask: 0.2147, loss: 0.6241 2023-11-15 01:44:27,975 - mmdet - INFO - Epoch [25][5850/7330] lr: 1.000e-04, eta: 5:53:29, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0305, loss_cls: 0.1482, acc: 94.6340, loss_bbox: 0.1942, loss_mask: 0.2067, loss: 0.5996 2023-11-15 01:44:40,721 - mmdet - INFO - Epoch [25][5900/7330] lr: 1.000e-04, eta: 5:53:16, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0329, loss_cls: 0.1624, acc: 94.0911, loss_bbox: 0.2031, loss_mask: 0.2104, loss: 0.6313 2023-11-15 01:44:53,893 - mmdet - INFO - Epoch [25][5950/7330] lr: 1.000e-04, eta: 5:53:03, time: 0.263, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0344, loss_cls: 0.1622, acc: 94.1008, loss_bbox: 0.2045, loss_mask: 0.2132, loss: 0.6383 2023-11-15 01:45:06,592 - mmdet - INFO - Epoch [25][6000/7330] lr: 1.000e-04, eta: 5:52:50, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0292, loss_cls: 0.1568, acc: 94.3230, loss_bbox: 0.1960, loss_mask: 0.2063, loss: 0.6091 2023-11-15 01:45:19,325 - mmdet - INFO - Epoch [25][6050/7330] lr: 1.000e-04, eta: 5:52:37, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0312, loss_cls: 0.1639, acc: 94.0310, loss_bbox: 0.2001, loss_mask: 0.2114, loss: 0.6296 2023-11-15 01:45:32,011 - mmdet - INFO - Epoch [25][6100/7330] lr: 1.000e-04, eta: 5:52:24, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0309, loss_cls: 0.1597, acc: 94.2227, loss_bbox: 0.2042, loss_mask: 0.2113, loss: 0.6280 2023-11-15 01:45:44,616 - mmdet - INFO - Epoch [25][6150/7330] lr: 1.000e-04, eta: 5:52:11, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0301, loss_cls: 0.1566, acc: 94.2390, loss_bbox: 0.1955, loss_mask: 0.2033, loss: 0.6064 2023-11-15 01:45:57,337 - mmdet - INFO - Epoch [25][6200/7330] lr: 1.000e-04, eta: 5:51:58, time: 0.254, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0310, loss_cls: 0.1590, acc: 94.2419, loss_bbox: 0.2016, loss_mask: 0.2081, loss: 0.6232 2023-11-15 01:46:10,136 - mmdet - INFO - Epoch [25][6250/7330] lr: 1.000e-04, eta: 5:51:45, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0342, loss_cls: 0.1642, acc: 93.9561, loss_bbox: 0.2118, loss_mask: 0.2166, loss: 0.6508 2023-11-15 01:46:23,023 - mmdet - INFO - Epoch [25][6300/7330] lr: 1.000e-04, eta: 5:51:32, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0300, loss_cls: 0.1542, acc: 94.3726, loss_bbox: 0.1943, loss_mask: 0.2087, loss: 0.6074 2023-11-15 01:46:35,933 - mmdet - INFO - Epoch [25][6350/7330] lr: 1.000e-04, eta: 5:51:19, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0291, loss_cls: 0.1573, acc: 94.4258, loss_bbox: 0.1936, loss_mask: 0.2085, loss: 0.6097 2023-11-15 01:46:48,866 - mmdet - INFO - Epoch [25][6400/7330] lr: 1.000e-04, eta: 5:51:07, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0314, loss_cls: 0.1631, acc: 94.0286, loss_bbox: 0.2095, loss_mask: 0.2139, loss: 0.6414 2023-11-15 01:47:01,554 - mmdet - INFO - Epoch [25][6450/7330] lr: 1.000e-04, eta: 5:50:54, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0315, loss_cls: 0.1640, acc: 93.9446, loss_bbox: 0.2129, loss_mask: 0.2149, loss: 0.6463 2023-11-15 01:47:14,049 - mmdet - INFO - Epoch [25][6500/7330] lr: 1.000e-04, eta: 5:50:40, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0304, loss_cls: 0.1583, acc: 94.2444, loss_bbox: 0.1953, loss_mask: 0.2091, loss: 0.6155 2023-11-15 01:47:26,897 - mmdet - INFO - Epoch [25][6550/7330] lr: 1.000e-04, eta: 5:50:27, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0318, loss_cls: 0.1646, acc: 94.0107, loss_bbox: 0.2060, loss_mask: 0.2166, loss: 0.6429 2023-11-15 01:47:40,097 - mmdet - INFO - Epoch [25][6600/7330] lr: 1.000e-04, eta: 5:50:15, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0327, loss_cls: 0.1587, acc: 94.2822, loss_bbox: 0.1987, loss_mask: 0.2071, loss: 0.6205 2023-11-15 01:47:52,858 - mmdet - INFO - Epoch [25][6650/7330] lr: 1.000e-04, eta: 5:50:02, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0323, loss_cls: 0.1638, acc: 93.9438, loss_bbox: 0.2062, loss_mask: 0.2126, loss: 0.6376 2023-11-15 01:48:05,874 - mmdet - INFO - Epoch [25][6700/7330] lr: 1.000e-04, eta: 5:49:49, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0313, loss_cls: 0.1571, acc: 94.3293, loss_bbox: 0.1976, loss_mask: 0.2120, loss: 0.6214 2023-11-15 01:48:18,775 - mmdet - INFO - Epoch [25][6750/7330] lr: 1.000e-04, eta: 5:49:36, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0305, loss_cls: 0.1482, acc: 94.5176, loss_bbox: 0.1958, loss_mask: 0.2101, loss: 0.6052 2023-11-15 01:48:31,918 - mmdet - INFO - Epoch [25][6800/7330] lr: 1.000e-04, eta: 5:49:23, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0341, loss_cls: 0.1637, acc: 94.0491, loss_bbox: 0.2081, loss_mask: 0.2131, loss: 0.6411 2023-11-15 01:48:44,618 - mmdet - INFO - Epoch [25][6850/7330] lr: 1.000e-04, eta: 5:49:10, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0299, loss_cls: 0.1544, acc: 94.4043, loss_bbox: 0.1984, loss_mask: 0.2079, loss: 0.6102 2023-11-15 01:48:57,369 - mmdet - INFO - Epoch [25][6900/7330] lr: 1.000e-04, eta: 5:48:57, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0296, loss_cls: 0.1498, acc: 94.5627, loss_bbox: 0.1920, loss_mask: 0.2062, loss: 0.5980 2023-11-15 01:49:10,265 - mmdet - INFO - Epoch [25][6950/7330] lr: 1.000e-04, eta: 5:48:44, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0311, loss_cls: 0.1625, acc: 94.1807, loss_bbox: 0.2027, loss_mask: 0.2124, loss: 0.6302 2023-11-15 01:49:23,223 - mmdet - INFO - Epoch [25][7000/7330] lr: 1.000e-04, eta: 5:48:31, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0323, loss_cls: 0.1571, acc: 94.3052, loss_bbox: 0.2013, loss_mask: 0.2163, loss: 0.6290 2023-11-15 01:49:35,980 - mmdet - INFO - Epoch [25][7050/7330] lr: 1.000e-04, eta: 5:48:18, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0336, loss_cls: 0.1641, acc: 94.1460, loss_bbox: 0.2082, loss_mask: 0.2165, loss: 0.6463 2023-11-15 01:49:48,749 - mmdet - INFO - Epoch [25][7100/7330] lr: 1.000e-04, eta: 5:48:05, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0330, loss_cls: 0.1633, acc: 93.9661, loss_bbox: 0.2106, loss_mask: 0.2130, loss: 0.6428 2023-11-15 01:50:01,603 - mmdet - INFO - Epoch [25][7150/7330] lr: 1.000e-04, eta: 5:47:52, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0296, loss_cls: 0.1537, acc: 94.3716, loss_bbox: 0.1970, loss_mask: 0.2076, loss: 0.6079 2023-11-15 01:50:14,261 - mmdet - INFO - Epoch [25][7200/7330] lr: 1.000e-04, eta: 5:47:39, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0291, loss_cls: 0.1615, acc: 94.1318, loss_bbox: 0.2045, loss_mask: 0.2106, loss: 0.6258 2023-11-15 01:50:27,168 - mmdet - INFO - Epoch [25][7250/7330] lr: 1.000e-04, eta: 5:47:26, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0338, loss_cls: 0.1668, acc: 93.8494, loss_bbox: 0.2083, loss_mask: 0.2191, loss: 0.6525 2023-11-15 01:50:40,094 - mmdet - INFO - Epoch [25][7300/7330] lr: 1.000e-04, eta: 5:47:14, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0321, loss_cls: 0.1602, acc: 94.0786, loss_bbox: 0.2036, loss_mask: 0.2057, loss: 0.6239 2023-11-15 01:50:48,693 - mmdet - INFO - Saving checkpoint at 25 epochs 2023-11-15 01:51:33,828 - mmdet - INFO - Evaluating bbox... 2023-11-15 01:52:04,018 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.468 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.681 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.518 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.303 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.508 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.609 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.422 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.741 2023-11-15 01:52:04,021 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.581 | bicycle | 0.377 | car | 0.477 | | motorcycle | 0.493 | airplane | 0.697 | bus | 0.663 | | train | 0.676 | truck | 0.410 | boat | 0.306 | | traffic light | 0.281 | fire hydrant | 0.703 | stop sign | 0.661 | | parking meter | 0.484 | bench | 0.297 | bird | 0.413 | | cat | 0.700 | dog | 0.682 | horse | 0.628 | | sheep | 0.587 | cow | 0.615 | elephant | 0.699 | | bear | 0.727 | zebra | 0.701 | giraffe | 0.711 | | backpack | 0.206 | umbrella | 0.443 | handbag | 0.238 | | tie | 0.384 | suitcase | 0.477 | frisbee | 0.702 | | skis | 0.287 | snowboard | 0.423 | sports ball | 0.474 | | kite | 0.433 | baseball bat | 0.389 | baseball glove | 0.399 | | skateboard | 0.579 | surfboard | 0.473 | tennis racket | 0.534 | | bottle | 0.445 | wine glass | 0.401 | cup | 0.488 | | fork | 0.436 | knife | 0.278 | spoon | 0.291 | | bowl | 0.458 | banana | 0.281 | apple | 0.239 | | sandwich | 0.414 | orange | 0.350 | broccoli | 0.254 | | carrot | 0.232 | hot dog | 0.358 | pizza | 0.536 | | donut | 0.527 | cake | 0.429 | chair | 0.349 | | couch | 0.473 | potted plant | 0.340 | bed | 0.475 | | dining table | 0.304 | toilet | 0.670 | tv | 0.610 | | laptop | 0.651 | mouse | 0.649 | remote | 0.401 | | keyboard | 0.546 | cell phone | 0.421 | microwave | 0.606 | | oven | 0.410 | toaster | 0.471 | sink | 0.451 | | refrigerator | 0.633 | book | 0.195 | clock | 0.504 | | vase | 0.396 | scissors | 0.452 | teddy bear | 0.487 | | hair drier | 0.167 | toothbrush | 0.313 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 01:52:04,021 - mmdet - INFO - Evaluating segm... 2023-11-15 01:52:36,957 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.418 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.651 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.449 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.221 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 ] = 0.601 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 ] = 0.365 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.694 2023-11-15 01:52:36,960 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.504 | bicycle | 0.232 | car | 0.436 | | motorcycle | 0.386 | airplane | 0.531 | bus | 0.639 | | train | 0.648 | truck | 0.399 | boat | 0.268 | | traffic light | 0.276 | fire hydrant | 0.673 | stop sign | 0.666 | | parking meter | 0.502 | bench | 0.210 | bird | 0.334 | | cat | 0.699 | dog | 0.650 | horse | 0.470 | | sheep | 0.525 | cow | 0.520 | elephant | 0.626 | | bear | 0.716 | zebra | 0.611 | giraffe | 0.555 | | backpack | 0.206 | umbrella | 0.492 | handbag | 0.214 | | tie | 0.351 | suitcase | 0.504 | frisbee | 0.658 | | skis | 0.044 | snowboard | 0.258 | sports ball | 0.457 | | kite | 0.306 | baseball bat | 0.306 | baseball glove | 0.423 | | skateboard | 0.381 | surfboard | 0.387 | tennis racket | 0.594 | | bottle | 0.425 | wine glass | 0.365 | cup | 0.482 | | fork | 0.215 | knife | 0.195 | spoon | 0.190 | | bowl | 0.419 | banana | 0.234 | apple | 0.230 | | sandwich | 0.433 | orange | 0.345 | broccoli | 0.240 | | carrot | 0.208 | hot dog | 0.290 | pizza | 0.511 | | donut | 0.531 | cake | 0.424 | chair | 0.245 | | couch | 0.397 | potted plant | 0.279 | bed | 0.383 | | dining table | 0.185 | toilet | 0.628 | tv | 0.637 | | laptop | 0.653 | mouse | 0.644 | remote | 0.368 | | keyboard | 0.527 | cell phone | 0.400 | microwave | 0.631 | | oven | 0.365 | toaster | 0.517 | sink | 0.418 | | refrigerator | 0.645 | book | 0.142 | clock | 0.502 | | vase | 0.387 | scissors | 0.295 | teddy bear | 0.470 | | hair drier | 0.126 | toothbrush | 0.204 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 01:52:37,408 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 01:52:37,408 - mmdet - INFO - Epoch(val) [25][625] bbox_mAP: 0.4675, bbox_mAP_50: 0.6809, bbox_mAP_75: 0.5183, bbox_mAP_s: 0.3031, bbox_mAP_m: 0.5079, bbox_mAP_l: 0.6086, bbox_mAP_copypaste: 0.4675 0.6809 0.5183 0.3031 0.5079 0.6086, segm_mAP: 0.4181, segm_mAP_50: 0.6514, segm_mAP_75: 0.4492, segm_mAP_s: 0.2214, segm_mAP_m: 0.4546, segm_mAP_l: 0.6011, segm_mAP_copypaste: 0.4181 0.6514 0.4492 0.2214 0.4546 0.6011 2023-11-15 01:52:53,669 - mmdet - INFO - Epoch [26][50/7330] lr: 1.000e-04, eta: 5:46:51, time: 0.325, data_time: 0.075, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0318, loss_cls: 0.1525, acc: 94.4158, loss_bbox: 0.1954, loss_mask: 0.2038, loss: 0.6054 2023-11-15 01:53:07,134 - mmdet - INFO - Epoch [26][100/7330] lr: 1.000e-04, eta: 5:46:38, time: 0.269, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0327, loss_cls: 0.1617, acc: 94.0811, loss_bbox: 0.2089, loss_mask: 0.2116, loss: 0.6384 2023-11-15 01:53:20,299 - mmdet - INFO - Epoch [26][150/7330] lr: 1.000e-04, eta: 5:46:25, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0317, loss_cls: 0.1585, acc: 94.1580, loss_bbox: 0.2037, loss_mask: 0.2148, loss: 0.6285 2023-11-15 01:53:33,127 - mmdet - INFO - Epoch [26][200/7330] lr: 1.000e-04, eta: 5:46:13, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0281, loss_cls: 0.1440, acc: 94.7688, loss_bbox: 0.1882, loss_mask: 0.1980, loss: 0.5769 2023-11-15 01:53:46,379 - mmdet - INFO - Epoch [26][250/7330] lr: 1.000e-04, eta: 5:46:00, time: 0.265, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0301, loss_cls: 0.1511, acc: 94.4358, loss_bbox: 0.1961, loss_mask: 0.2026, loss: 0.6017 2023-11-15 01:53:59,559 - mmdet - INFO - Epoch [26][300/7330] lr: 1.000e-04, eta: 5:45:47, time: 0.264, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0315, loss_cls: 0.1605, acc: 94.2078, loss_bbox: 0.2036, loss_mask: 0.2068, loss: 0.6262 2023-11-15 01:54:12,541 - mmdet - INFO - Epoch [26][350/7330] lr: 1.000e-04, eta: 5:45:34, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0303, loss_cls: 0.1546, acc: 94.3359, loss_bbox: 0.1994, loss_mask: 0.2016, loss: 0.6054 2023-11-15 01:54:25,319 - mmdet - INFO - Epoch [26][400/7330] lr: 1.000e-04, eta: 5:45:21, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0290, loss_cls: 0.1528, acc: 94.4333, loss_bbox: 0.1896, loss_mask: 0.2047, loss: 0.5967 2023-11-15 01:54:38,009 - mmdet - INFO - Epoch [26][450/7330] lr: 1.000e-04, eta: 5:45:08, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0287, loss_cls: 0.1483, acc: 94.5947, loss_bbox: 0.1913, loss_mask: 0.2050, loss: 0.5944 2023-11-15 01:54:51,014 - mmdet - INFO - Epoch [26][500/7330] lr: 1.000e-04, eta: 5:44:55, time: 0.260, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0294, loss_cls: 0.1468, acc: 94.6101, loss_bbox: 0.1915, loss_mask: 0.2093, loss: 0.5960 2023-11-15 01:55:04,159 - mmdet - INFO - Epoch [26][550/7330] lr: 1.000e-04, eta: 5:44:42, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0301, loss_cls: 0.1521, acc: 94.4067, loss_bbox: 0.1996, loss_mask: 0.2094, loss: 0.6115 2023-11-15 01:55:17,162 - mmdet - INFO - Epoch [26][600/7330] lr: 1.000e-04, eta: 5:44:30, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0317, loss_cls: 0.1595, acc: 94.1570, loss_bbox: 0.2010, loss_mask: 0.2112, loss: 0.6248 2023-11-15 01:55:30,162 - mmdet - INFO - Epoch [26][650/7330] lr: 1.000e-04, eta: 5:44:17, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0314, loss_cls: 0.1532, acc: 94.3049, loss_bbox: 0.2044, loss_mask: 0.2074, loss: 0.6169 2023-11-15 01:55:42,916 - mmdet - INFO - Epoch [26][700/7330] lr: 1.000e-04, eta: 5:44:04, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0297, loss_cls: 0.1521, acc: 94.4709, loss_bbox: 0.1932, loss_mask: 0.1990, loss: 0.5941 2023-11-15 01:55:55,876 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 01:55:55,876 - mmdet - INFO - Epoch [26][750/7330] lr: 1.000e-04, eta: 5:43:51, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0314, loss_cls: 0.1503, acc: 94.4800, loss_bbox: 0.1921, loss_mask: 0.2018, loss: 0.5966 2023-11-15 01:56:08,583 - mmdet - INFO - Epoch [26][800/7330] lr: 1.000e-04, eta: 5:43:38, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0314, loss_cls: 0.1488, acc: 94.5273, loss_bbox: 0.1936, loss_mask: 0.2106, loss: 0.6060 2023-11-15 01:56:21,837 - mmdet - INFO - Epoch [26][850/7330] lr: 1.000e-04, eta: 5:43:25, time: 0.265, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0322, loss_cls: 0.1597, acc: 94.1331, loss_bbox: 0.2105, loss_mask: 0.2117, loss: 0.6342 2023-11-15 01:56:34,585 - mmdet - INFO - Epoch [26][900/7330] lr: 1.000e-04, eta: 5:43:12, time: 0.255, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0337, loss_cls: 0.1639, acc: 93.9880, loss_bbox: 0.2071, loss_mask: 0.2124, loss: 0.6397 2023-11-15 01:56:47,576 - mmdet - INFO - Epoch [26][950/7330] lr: 1.000e-04, eta: 5:42:59, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0322, loss_cls: 0.1624, acc: 94.0195, loss_bbox: 0.2097, loss_mask: 0.2118, loss: 0.6381 2023-11-15 01:57:00,411 - mmdet - INFO - Epoch [26][1000/7330] lr: 1.000e-04, eta: 5:42:46, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0307, loss_cls: 0.1568, acc: 94.2612, loss_bbox: 0.2014, loss_mask: 0.2082, loss: 0.6185 2023-11-15 01:57:13,315 - mmdet - INFO - Epoch [26][1050/7330] lr: 1.000e-04, eta: 5:42:33, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0250, loss_rpn_bbox: 0.0337, loss_cls: 0.1629, acc: 94.0156, loss_bbox: 0.2100, loss_mask: 0.2138, loss: 0.6454 2023-11-15 01:57:26,565 - mmdet - INFO - Epoch [26][1100/7330] lr: 1.000e-04, eta: 5:42:20, time: 0.265, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0324, loss_cls: 0.1623, acc: 94.1304, loss_bbox: 0.2044, loss_mask: 0.2042, loss: 0.6256 2023-11-15 01:57:39,460 - mmdet - INFO - Epoch [26][1150/7330] lr: 1.000e-04, eta: 5:42:08, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0320, loss_cls: 0.1492, acc: 94.4875, loss_bbox: 0.1978, loss_mask: 0.2052, loss: 0.6057 2023-11-15 01:57:52,198 - mmdet - INFO - Epoch [26][1200/7330] lr: 1.000e-04, eta: 5:41:55, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0278, loss_cls: 0.1482, acc: 94.5920, loss_bbox: 0.1893, loss_mask: 0.2018, loss: 0.5864 2023-11-15 01:58:05,229 - mmdet - INFO - Epoch [26][1250/7330] lr: 1.000e-04, eta: 5:41:42, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0305, loss_cls: 0.1611, acc: 94.1643, loss_bbox: 0.2036, loss_mask: 0.2154, loss: 0.6319 2023-11-15 01:58:18,151 - mmdet - INFO - Epoch [26][1300/7330] lr: 1.000e-04, eta: 5:41:29, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0311, loss_cls: 0.1657, acc: 93.9707, loss_bbox: 0.2094, loss_mask: 0.2030, loss: 0.6299 2023-11-15 01:58:31,071 - mmdet - INFO - Epoch [26][1350/7330] lr: 1.000e-04, eta: 5:41:16, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0314, loss_cls: 0.1585, acc: 94.1655, loss_bbox: 0.1993, loss_mask: 0.2082, loss: 0.6178 2023-11-15 01:58:44,237 - mmdet - INFO - Epoch [26][1400/7330] lr: 1.000e-04, eta: 5:41:03, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0304, loss_cls: 0.1591, acc: 94.2339, loss_bbox: 0.2042, loss_mask: 0.2121, loss: 0.6274 2023-11-15 01:58:57,256 - mmdet - INFO - Epoch [26][1450/7330] lr: 1.000e-04, eta: 5:40:50, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0307, loss_cls: 0.1557, acc: 94.2432, loss_bbox: 0.1997, loss_mask: 0.2092, loss: 0.6160 2023-11-15 01:59:10,308 - mmdet - INFO - Epoch [26][1500/7330] lr: 1.000e-04, eta: 5:40:37, time: 0.261, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0321, loss_cls: 0.1550, acc: 94.2395, loss_bbox: 0.2022, loss_mask: 0.2125, loss: 0.6233 2023-11-15 01:59:22,861 - mmdet - INFO - Epoch [26][1550/7330] lr: 1.000e-04, eta: 5:40:24, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0291, loss_cls: 0.1539, acc: 94.3438, loss_bbox: 0.1970, loss_mask: 0.2116, loss: 0.6129 2023-11-15 01:59:35,776 - mmdet - INFO - Epoch [26][1600/7330] lr: 1.000e-04, eta: 5:40:11, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0291, loss_cls: 0.1537, acc: 94.3237, loss_bbox: 0.1966, loss_mask: 0.2074, loss: 0.6058 2023-11-15 01:59:48,709 - mmdet - INFO - Epoch [26][1650/7330] lr: 1.000e-04, eta: 5:39:58, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0287, loss_cls: 0.1444, acc: 94.7231, loss_bbox: 0.1888, loss_mask: 0.2034, loss: 0.5855 2023-11-15 02:00:01,543 - mmdet - INFO - Epoch [26][1700/7330] lr: 1.000e-04, eta: 5:39:46, time: 0.257, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0319, loss_cls: 0.1549, acc: 94.3271, loss_bbox: 0.2010, loss_mask: 0.2088, loss: 0.6175 2023-11-15 02:00:14,414 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 02:00:14,414 - mmdet - INFO - Epoch [26][1750/7330] lr: 1.000e-04, eta: 5:39:33, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0311, loss_cls: 0.1527, acc: 94.4272, loss_bbox: 0.2000, loss_mask: 0.2054, loss: 0.6128 2023-11-15 02:00:27,178 - mmdet - INFO - Epoch [26][1800/7330] lr: 1.000e-04, eta: 5:39:20, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0307, loss_cls: 0.1569, acc: 94.3132, loss_bbox: 0.1979, loss_mask: 0.2081, loss: 0.6138 2023-11-15 02:00:40,164 - mmdet - INFO - Epoch [26][1850/7330] lr: 1.000e-04, eta: 5:39:07, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0316, loss_cls: 0.1579, acc: 94.2327, loss_bbox: 0.2036, loss_mask: 0.2118, loss: 0.6252 2023-11-15 02:00:52,763 - mmdet - INFO - Epoch [26][1900/7330] lr: 1.000e-04, eta: 5:38:54, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0297, loss_cls: 0.1488, acc: 94.5933, loss_bbox: 0.1923, loss_mask: 0.2067, loss: 0.5981 2023-11-15 02:01:05,837 - mmdet - INFO - Epoch [26][1950/7330] lr: 1.000e-04, eta: 5:38:41, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0315, loss_cls: 0.1543, acc: 94.3840, loss_bbox: 0.1978, loss_mask: 0.2070, loss: 0.6139 2023-11-15 02:01:18,803 - mmdet - INFO - Epoch [26][2000/7330] lr: 1.000e-04, eta: 5:38:28, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0340, loss_cls: 0.1642, acc: 93.9412, loss_bbox: 0.2100, loss_mask: 0.2110, loss: 0.6412 2023-11-15 02:01:31,657 - mmdet - INFO - Epoch [26][2050/7330] lr: 1.000e-04, eta: 5:38:15, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0328, loss_cls: 0.1561, acc: 94.3254, loss_bbox: 0.2008, loss_mask: 0.2061, loss: 0.6191 2023-11-15 02:01:44,523 - mmdet - INFO - Epoch [26][2100/7330] lr: 1.000e-04, eta: 5:38:02, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0306, loss_cls: 0.1545, acc: 94.3176, loss_bbox: 0.2016, loss_mask: 0.2114, loss: 0.6187 2023-11-15 02:01:57,696 - mmdet - INFO - Epoch [26][2150/7330] lr: 1.000e-04, eta: 5:37:49, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0336, loss_cls: 0.1652, acc: 93.9993, loss_bbox: 0.2115, loss_mask: 0.2100, loss: 0.6440 2023-11-15 02:02:10,296 - mmdet - INFO - Epoch [26][2200/7330] lr: 1.000e-04, eta: 5:37:36, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0307, loss_cls: 0.1485, acc: 94.5659, loss_bbox: 0.1947, loss_mask: 0.2040, loss: 0.5989 2023-11-15 02:02:23,168 - mmdet - INFO - Epoch [26][2250/7330] lr: 1.000e-04, eta: 5:37:23, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0331, loss_cls: 0.1561, acc: 94.2942, loss_bbox: 0.2016, loss_mask: 0.2103, loss: 0.6230 2023-11-15 02:02:36,072 - mmdet - INFO - Epoch [26][2300/7330] lr: 1.000e-04, eta: 5:37:10, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0326, loss_cls: 0.1543, acc: 94.3694, loss_bbox: 0.1987, loss_mask: 0.2060, loss: 0.6152 2023-11-15 02:02:48,951 - mmdet - INFO - Epoch [26][2350/7330] lr: 1.000e-04, eta: 5:36:57, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0319, loss_cls: 0.1579, acc: 94.2041, loss_bbox: 0.2047, loss_mask: 0.2119, loss: 0.6285 2023-11-15 02:03:01,953 - mmdet - INFO - Epoch [26][2400/7330] lr: 1.000e-04, eta: 5:36:45, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0319, loss_cls: 0.1547, acc: 94.2307, loss_bbox: 0.2014, loss_mask: 0.2099, loss: 0.6183 2023-11-15 02:03:14,606 - mmdet - INFO - Epoch [26][2450/7330] lr: 1.000e-04, eta: 5:36:32, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0297, loss_cls: 0.1484, acc: 94.5552, loss_bbox: 0.1926, loss_mask: 0.2031, loss: 0.5944 2023-11-15 02:03:27,165 - mmdet - INFO - Epoch [26][2500/7330] lr: 1.000e-04, eta: 5:36:18, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0308, loss_cls: 0.1516, acc: 94.5276, loss_bbox: 0.1958, loss_mask: 0.2074, loss: 0.6076 2023-11-15 02:03:40,143 - mmdet - INFO - Epoch [26][2550/7330] lr: 1.000e-04, eta: 5:36:06, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0289, loss_cls: 0.1480, acc: 94.6912, loss_bbox: 0.1914, loss_mask: 0.2042, loss: 0.5917 2023-11-15 02:03:55,650 - mmdet - INFO - Epoch [26][2600/7330] lr: 1.000e-04, eta: 5:35:54, time: 0.310, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0304, loss_cls: 0.1480, acc: 94.5925, loss_bbox: 0.1909, loss_mask: 0.2047, loss: 0.5959 2023-11-15 02:04:08,702 - mmdet - INFO - Epoch [26][2650/7330] lr: 1.000e-04, eta: 5:35:41, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0303, loss_cls: 0.1565, acc: 94.2209, loss_bbox: 0.2011, loss_mask: 0.2094, loss: 0.6201 2023-11-15 02:04:21,530 - mmdet - INFO - Epoch [26][2700/7330] lr: 1.000e-04, eta: 5:35:28, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0322, loss_cls: 0.1604, acc: 94.1279, loss_bbox: 0.2067, loss_mask: 0.2129, loss: 0.6349 2023-11-15 02:04:34,667 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 02:04:34,667 - mmdet - INFO - Epoch [26][2750/7330] lr: 1.000e-04, eta: 5:35:15, time: 0.263, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0327, loss_cls: 0.1606, acc: 94.2634, loss_bbox: 0.2013, loss_mask: 0.2110, loss: 0.6285 2023-11-15 02:04:47,512 - mmdet - INFO - Epoch [26][2800/7330] lr: 1.000e-04, eta: 5:35:02, time: 0.257, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0330, loss_cls: 0.1615, acc: 94.1558, loss_bbox: 0.2027, loss_mask: 0.2065, loss: 0.6284 2023-11-15 02:05:00,155 - mmdet - INFO - Epoch [26][2850/7330] lr: 1.000e-04, eta: 5:34:49, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0286, loss_cls: 0.1514, acc: 94.3677, loss_bbox: 0.2001, loss_mask: 0.2073, loss: 0.6044 2023-11-15 02:05:12,975 - mmdet - INFO - Epoch [26][2900/7330] lr: 1.000e-04, eta: 5:34:36, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0293, loss_cls: 0.1565, acc: 94.3440, loss_bbox: 0.2017, loss_mask: 0.2079, loss: 0.6180 2023-11-15 02:05:25,937 - mmdet - INFO - Epoch [26][2950/7330] lr: 1.000e-04, eta: 5:34:23, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0326, loss_cls: 0.1546, acc: 94.1785, loss_bbox: 0.2099, loss_mask: 0.2172, loss: 0.6351 2023-11-15 02:05:38,952 - mmdet - INFO - Epoch [26][3000/7330] lr: 1.000e-04, eta: 5:34:10, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0323, loss_cls: 0.1549, acc: 94.3235, loss_bbox: 0.1994, loss_mask: 0.2105, loss: 0.6191 2023-11-15 02:05:51,911 - mmdet - INFO - Epoch [26][3050/7330] lr: 1.000e-04, eta: 5:33:58, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0236, loss_rpn_bbox: 0.0343, loss_cls: 0.1616, acc: 94.0559, loss_bbox: 0.2100, loss_mask: 0.2073, loss: 0.6368 2023-11-15 02:06:04,534 - mmdet - INFO - Epoch [26][3100/7330] lr: 1.000e-04, eta: 5:33:45, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0308, loss_cls: 0.1551, acc: 94.2947, loss_bbox: 0.1987, loss_mask: 0.2120, loss: 0.6185 2023-11-15 02:06:17,271 - mmdet - INFO - Epoch [26][3150/7330] lr: 1.000e-04, eta: 5:33:32, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0330, loss_cls: 0.1560, acc: 94.2825, loss_bbox: 0.2013, loss_mask: 0.2063, loss: 0.6187 2023-11-15 02:06:30,146 - mmdet - INFO - Epoch [26][3200/7330] lr: 1.000e-04, eta: 5:33:19, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0312, loss_cls: 0.1501, acc: 94.4629, loss_bbox: 0.1938, loss_mask: 0.2075, loss: 0.6056 2023-11-15 02:06:43,098 - mmdet - INFO - Epoch [26][3250/7330] lr: 1.000e-04, eta: 5:33:06, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0306, loss_cls: 0.1599, acc: 94.2476, loss_bbox: 0.2003, loss_mask: 0.2077, loss: 0.6197 2023-11-15 02:06:56,353 - mmdet - INFO - Epoch [26][3300/7330] lr: 1.000e-04, eta: 5:32:53, time: 0.265, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0337, loss_cls: 0.1656, acc: 93.9314, loss_bbox: 0.2118, loss_mask: 0.2159, loss: 0.6507 2023-11-15 02:07:09,051 - mmdet - INFO - Epoch [26][3350/7330] lr: 1.000e-04, eta: 5:32:40, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0291, loss_cls: 0.1503, acc: 94.5898, loss_bbox: 0.1940, loss_mask: 0.2080, loss: 0.6016 2023-11-15 02:07:21,751 - mmdet - INFO - Epoch [26][3400/7330] lr: 1.000e-04, eta: 5:32:27, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0306, loss_cls: 0.1576, acc: 94.1560, loss_bbox: 0.1983, loss_mask: 0.2106, loss: 0.6183 2023-11-15 02:07:34,542 - mmdet - INFO - Epoch [26][3450/7330] lr: 1.000e-04, eta: 5:32:14, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0304, loss_cls: 0.1488, acc: 94.6875, loss_bbox: 0.1869, loss_mask: 0.2039, loss: 0.5914 2023-11-15 02:07:47,396 - mmdet - INFO - Epoch [26][3500/7330] lr: 1.000e-04, eta: 5:32:01, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0303, loss_cls: 0.1595, acc: 94.0847, loss_bbox: 0.2037, loss_mask: 0.2124, loss: 0.6265 2023-11-15 02:08:00,111 - mmdet - INFO - Epoch [26][3550/7330] lr: 1.000e-04, eta: 5:31:48, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0317, loss_cls: 0.1595, acc: 94.2175, loss_bbox: 0.1991, loss_mask: 0.2114, loss: 0.6242 2023-11-15 02:08:13,156 - mmdet - INFO - Epoch [26][3600/7330] lr: 1.000e-04, eta: 5:31:35, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0306, loss_cls: 0.1570, acc: 94.2742, loss_bbox: 0.2025, loss_mask: 0.2085, loss: 0.6199 2023-11-15 02:08:25,761 - mmdet - INFO - Epoch [26][3650/7330] lr: 1.000e-04, eta: 5:31:22, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0311, loss_cls: 0.1553, acc: 94.3625, loss_bbox: 0.1988, loss_mask: 0.2082, loss: 0.6143 2023-11-15 02:08:38,607 - mmdet - INFO - Epoch [26][3700/7330] lr: 1.000e-04, eta: 5:31:09, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0332, loss_cls: 0.1550, acc: 94.2949, loss_bbox: 0.1970, loss_mask: 0.2024, loss: 0.6101 2023-11-15 02:08:51,451 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 02:08:51,451 - mmdet - INFO - Epoch [26][3750/7330] lr: 1.000e-04, eta: 5:30:56, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0319, loss_cls: 0.1606, acc: 94.1831, loss_bbox: 0.2054, loss_mask: 0.2094, loss: 0.6288 2023-11-15 02:09:04,037 - mmdet - INFO - Epoch [26][3800/7330] lr: 1.000e-04, eta: 5:30:43, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0316, loss_cls: 0.1514, acc: 94.3875, loss_bbox: 0.1988, loss_mask: 0.2079, loss: 0.6127 2023-11-15 02:09:16,756 - mmdet - INFO - Epoch [26][3850/7330] lr: 1.000e-04, eta: 5:30:30, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0316, loss_cls: 0.1592, acc: 94.1379, loss_bbox: 0.2037, loss_mask: 0.2146, loss: 0.6292 2023-11-15 02:09:29,530 - mmdet - INFO - Epoch [26][3900/7330] lr: 1.000e-04, eta: 5:30:17, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0313, loss_cls: 0.1610, acc: 94.1340, loss_bbox: 0.2018, loss_mask: 0.2044, loss: 0.6188 2023-11-15 02:09:42,213 - mmdet - INFO - Epoch [26][3950/7330] lr: 1.000e-04, eta: 5:30:04, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0324, loss_cls: 0.1575, acc: 94.2314, loss_bbox: 0.2007, loss_mask: 0.2098, loss: 0.6216 2023-11-15 02:09:55,022 - mmdet - INFO - Epoch [26][4000/7330] lr: 1.000e-04, eta: 5:29:51, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0311, loss_cls: 0.1534, acc: 94.4377, loss_bbox: 0.1933, loss_mask: 0.2045, loss: 0.6050 2023-11-15 02:10:07,502 - mmdet - INFO - Epoch [26][4050/7330] lr: 1.000e-04, eta: 5:29:38, time: 0.250, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0314, loss_cls: 0.1662, acc: 94.0129, loss_bbox: 0.2054, loss_mask: 0.2149, loss: 0.6403 2023-11-15 02:10:20,225 - mmdet - INFO - Epoch [26][4100/7330] lr: 1.000e-04, eta: 5:29:25, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0311, loss_cls: 0.1563, acc: 94.2119, loss_bbox: 0.2057, loss_mask: 0.2131, loss: 0.6277 2023-11-15 02:10:33,113 - mmdet - INFO - Epoch [26][4150/7330] lr: 1.000e-04, eta: 5:29:12, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0320, loss_cls: 0.1572, acc: 94.2874, loss_bbox: 0.1986, loss_mask: 0.2116, loss: 0.6224 2023-11-15 02:10:46,090 - mmdet - INFO - Epoch [26][4200/7330] lr: 1.000e-04, eta: 5:28:59, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0329, loss_cls: 0.1620, acc: 94.0845, loss_bbox: 0.2087, loss_mask: 0.2125, loss: 0.6393 2023-11-15 02:10:58,948 - mmdet - INFO - Epoch [26][4250/7330] lr: 1.000e-04, eta: 5:28:46, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0311, loss_cls: 0.1607, acc: 94.1243, loss_bbox: 0.2065, loss_mask: 0.2163, loss: 0.6362 2023-11-15 02:11:11,729 - mmdet - INFO - Epoch [26][4300/7330] lr: 1.000e-04, eta: 5:28:33, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0314, loss_cls: 0.1560, acc: 94.3618, loss_bbox: 0.1993, loss_mask: 0.2112, loss: 0.6216 2023-11-15 02:11:25,045 - mmdet - INFO - Epoch [26][4350/7330] lr: 1.000e-04, eta: 5:28:21, time: 0.266, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0335, loss_cls: 0.1597, acc: 94.0754, loss_bbox: 0.2056, loss_mask: 0.2101, loss: 0.6323 2023-11-15 02:11:38,043 - mmdet - INFO - Epoch [26][4400/7330] lr: 1.000e-04, eta: 5:28:08, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0340, loss_cls: 0.1651, acc: 94.0100, loss_bbox: 0.2068, loss_mask: 0.2115, loss: 0.6394 2023-11-15 02:11:50,729 - mmdet - INFO - Epoch [26][4450/7330] lr: 1.000e-04, eta: 5:27:55, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0301, loss_cls: 0.1522, acc: 94.3708, loss_bbox: 0.1994, loss_mask: 0.2095, loss: 0.6141 2023-11-15 02:12:03,418 - mmdet - INFO - Epoch [26][4500/7330] lr: 1.000e-04, eta: 5:27:42, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0350, loss_cls: 0.1698, acc: 93.7932, loss_bbox: 0.2126, loss_mask: 0.2135, loss: 0.6536 2023-11-15 02:12:16,270 - mmdet - INFO - Epoch [26][4550/7330] lr: 1.000e-04, eta: 5:27:29, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0318, loss_cls: 0.1620, acc: 94.2048, loss_bbox: 0.2019, loss_mask: 0.2032, loss: 0.6214 2023-11-15 02:12:28,867 - mmdet - INFO - Epoch [26][4600/7330] lr: 1.000e-04, eta: 5:27:16, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0303, loss_cls: 0.1581, acc: 94.2571, loss_bbox: 0.2014, loss_mask: 0.2061, loss: 0.6176 2023-11-15 02:12:41,491 - mmdet - INFO - Epoch [26][4650/7330] lr: 1.000e-04, eta: 5:27:03, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0294, loss_cls: 0.1592, acc: 94.2026, loss_bbox: 0.2005, loss_mask: 0.2081, loss: 0.6169 2023-11-15 02:12:53,966 - mmdet - INFO - Epoch [26][4700/7330] lr: 1.000e-04, eta: 5:26:50, time: 0.249, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0296, loss_cls: 0.1588, acc: 94.2832, loss_bbox: 0.1942, loss_mask: 0.2104, loss: 0.6155 2023-11-15 02:13:06,678 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 02:13:06,678 - mmdet - INFO - Epoch [26][4750/7330] lr: 1.000e-04, eta: 5:26:37, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0331, loss_cls: 0.1590, acc: 94.2917, loss_bbox: 0.2022, loss_mask: 0.2117, loss: 0.6284 2023-11-15 02:13:19,417 - mmdet - INFO - Epoch [26][4800/7330] lr: 1.000e-04, eta: 5:26:24, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0315, loss_cls: 0.1567, acc: 94.2717, loss_bbox: 0.1992, loss_mask: 0.2074, loss: 0.6143 2023-11-15 02:13:32,151 - mmdet - INFO - Epoch [26][4850/7330] lr: 1.000e-04, eta: 5:26:11, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0328, loss_cls: 0.1689, acc: 93.8411, loss_bbox: 0.2124, loss_mask: 0.2072, loss: 0.6447 2023-11-15 02:13:45,129 - mmdet - INFO - Epoch [26][4900/7330] lr: 1.000e-04, eta: 5:25:58, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0327, loss_cls: 0.1665, acc: 94.0850, loss_bbox: 0.2035, loss_mask: 0.2077, loss: 0.6352 2023-11-15 02:13:57,706 - mmdet - INFO - Epoch [26][4950/7330] lr: 1.000e-04, eta: 5:25:45, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0281, loss_cls: 0.1547, acc: 94.3240, loss_bbox: 0.1956, loss_mask: 0.2112, loss: 0.6096 2023-11-15 02:14:10,290 - mmdet - INFO - Epoch [26][5000/7330] lr: 1.000e-04, eta: 5:25:32, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0245, loss_rpn_bbox: 0.0333, loss_cls: 0.1653, acc: 93.9922, loss_bbox: 0.2080, loss_mask: 0.2131, loss: 0.6442 2023-11-15 02:14:22,836 - mmdet - INFO - Epoch [26][5050/7330] lr: 1.000e-04, eta: 5:25:19, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0336, loss_cls: 0.1609, acc: 94.0447, loss_bbox: 0.2062, loss_mask: 0.2133, loss: 0.6378 2023-11-15 02:14:35,465 - mmdet - INFO - Epoch [26][5100/7330] lr: 1.000e-04, eta: 5:25:06, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0283, loss_cls: 0.1467, acc: 94.5964, loss_bbox: 0.1864, loss_mask: 0.2018, loss: 0.5829 2023-11-15 02:14:48,299 - mmdet - INFO - Epoch [26][5150/7330] lr: 1.000e-04, eta: 5:24:53, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0324, loss_cls: 0.1520, acc: 94.3228, loss_bbox: 0.2000, loss_mask: 0.2153, loss: 0.6216 2023-11-15 02:15:01,030 - mmdet - INFO - Epoch [26][5200/7330] lr: 1.000e-04, eta: 5:24:40, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0328, loss_cls: 0.1573, acc: 94.2515, loss_bbox: 0.1997, loss_mask: 0.2094, loss: 0.6217 2023-11-15 02:15:13,760 - mmdet - INFO - Epoch [26][5250/7330] lr: 1.000e-04, eta: 5:24:27, time: 0.255, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0333, loss_cls: 0.1604, acc: 94.2031, loss_bbox: 0.2013, loss_mask: 0.2120, loss: 0.6304 2023-11-15 02:15:26,423 - mmdet - INFO - Epoch [26][5300/7330] lr: 1.000e-04, eta: 5:24:14, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0305, loss_cls: 0.1521, acc: 94.3328, loss_bbox: 0.1963, loss_mask: 0.2085, loss: 0.6093 2023-11-15 02:15:39,113 - mmdet - INFO - Epoch [26][5350/7330] lr: 1.000e-04, eta: 5:24:01, time: 0.254, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0330, loss_cls: 0.1691, acc: 93.8433, loss_bbox: 0.2123, loss_mask: 0.2198, loss: 0.6577 2023-11-15 02:15:54,980 - mmdet - INFO - Epoch [26][5400/7330] lr: 1.000e-04, eta: 5:23:49, time: 0.317, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0318, loss_cls: 0.1586, acc: 94.2002, loss_bbox: 0.2030, loss_mask: 0.2149, loss: 0.6311 2023-11-15 02:16:07,944 - mmdet - INFO - Epoch [26][5450/7330] lr: 1.000e-04, eta: 5:23:36, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0310, loss_cls: 0.1583, acc: 94.3901, loss_bbox: 0.1975, loss_mask: 0.2095, loss: 0.6177 2023-11-15 02:16:20,898 - mmdet - INFO - Epoch [26][5500/7330] lr: 1.000e-04, eta: 5:23:23, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0332, loss_cls: 0.1588, acc: 94.1572, loss_bbox: 0.2062, loss_mask: 0.2089, loss: 0.6310 2023-11-15 02:16:33,706 - mmdet - INFO - Epoch [26][5550/7330] lr: 1.000e-04, eta: 5:23:10, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0290, loss_cls: 0.1518, acc: 94.5298, loss_bbox: 0.1875, loss_mask: 0.2065, loss: 0.5957 2023-11-15 02:16:46,675 - mmdet - INFO - Epoch [26][5600/7330] lr: 1.000e-04, eta: 5:22:57, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0322, loss_cls: 0.1588, acc: 94.1741, loss_bbox: 0.2023, loss_mask: 0.2057, loss: 0.6213 2023-11-15 02:16:59,493 - mmdet - INFO - Epoch [26][5650/7330] lr: 1.000e-04, eta: 5:22:44, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0335, loss_cls: 0.1687, acc: 93.8918, loss_bbox: 0.2098, loss_mask: 0.2109, loss: 0.6462 2023-11-15 02:17:12,254 - mmdet - INFO - Epoch [26][5700/7330] lr: 1.000e-04, eta: 5:22:31, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0309, loss_cls: 0.1522, acc: 94.4880, loss_bbox: 0.1962, loss_mask: 0.2116, loss: 0.6128 2023-11-15 02:17:25,152 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 02:17:25,153 - mmdet - INFO - Epoch [26][5750/7330] lr: 1.000e-04, eta: 5:22:19, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0319, loss_cls: 0.1656, acc: 93.9819, loss_bbox: 0.2062, loss_mask: 0.2133, loss: 0.6400 2023-11-15 02:17:38,114 - mmdet - INFO - Epoch [26][5800/7330] lr: 1.000e-04, eta: 5:22:06, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0321, loss_cls: 0.1617, acc: 94.0842, loss_bbox: 0.2069, loss_mask: 0.2123, loss: 0.6358 2023-11-15 02:17:51,081 - mmdet - INFO - Epoch [26][5850/7330] lr: 1.000e-04, eta: 5:21:53, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0319, loss_cls: 0.1634, acc: 94.1096, loss_bbox: 0.2010, loss_mask: 0.2117, loss: 0.6323 2023-11-15 02:18:04,055 - mmdet - INFO - Epoch [26][5900/7330] lr: 1.000e-04, eta: 5:21:40, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0313, loss_cls: 0.1636, acc: 94.0312, loss_bbox: 0.2101, loss_mask: 0.2134, loss: 0.6406 2023-11-15 02:18:16,825 - mmdet - INFO - Epoch [26][5950/7330] lr: 1.000e-04, eta: 5:21:27, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0285, loss_cls: 0.1532, acc: 94.4182, loss_bbox: 0.1966, loss_mask: 0.2084, loss: 0.6090 2023-11-15 02:18:29,849 - mmdet - INFO - Epoch [26][6000/7330] lr: 1.000e-04, eta: 5:21:14, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0307, loss_cls: 0.1600, acc: 94.1565, loss_bbox: 0.2052, loss_mask: 0.2122, loss: 0.6287 2023-11-15 02:18:42,741 - mmdet - INFO - Epoch [26][6050/7330] lr: 1.000e-04, eta: 5:21:01, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0307, loss_cls: 0.1588, acc: 94.1445, loss_bbox: 0.1987, loss_mask: 0.2117, loss: 0.6222 2023-11-15 02:18:55,418 - mmdet - INFO - Epoch [26][6100/7330] lr: 1.000e-04, eta: 5:20:48, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0319, loss_cls: 0.1606, acc: 94.2214, loss_bbox: 0.2004, loss_mask: 0.2075, loss: 0.6221 2023-11-15 02:19:08,176 - mmdet - INFO - Epoch [26][6150/7330] lr: 1.000e-04, eta: 5:20:35, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0300, loss_cls: 0.1544, acc: 94.3970, loss_bbox: 0.1985, loss_mask: 0.2143, loss: 0.6185 2023-11-15 02:19:20,860 - mmdet - INFO - Epoch [26][6200/7330] lr: 1.000e-04, eta: 5:20:22, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0298, loss_cls: 0.1541, acc: 94.3418, loss_bbox: 0.1919, loss_mask: 0.2031, loss: 0.6013 2023-11-15 02:19:33,624 - mmdet - INFO - Epoch [26][6250/7330] lr: 1.000e-04, eta: 5:20:09, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0241, loss_rpn_bbox: 0.0314, loss_cls: 0.1659, acc: 93.9600, loss_bbox: 0.2056, loss_mask: 0.2110, loss: 0.6379 2023-11-15 02:19:46,174 - mmdet - INFO - Epoch [26][6300/7330] lr: 1.000e-04, eta: 5:19:56, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0319, loss_cls: 0.1586, acc: 94.1978, loss_bbox: 0.2011, loss_mask: 0.2113, loss: 0.6259 2023-11-15 02:19:59,184 - mmdet - INFO - Epoch [26][6350/7330] lr: 1.000e-04, eta: 5:19:43, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0247, loss_rpn_bbox: 0.0348, loss_cls: 0.1701, acc: 93.7891, loss_bbox: 0.2121, loss_mask: 0.2118, loss: 0.6535 2023-11-15 02:20:12,027 - mmdet - INFO - Epoch [26][6400/7330] lr: 1.000e-04, eta: 5:19:30, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0322, loss_cls: 0.1585, acc: 94.2092, loss_bbox: 0.1952, loss_mask: 0.2047, loss: 0.6126 2023-11-15 02:20:24,816 - mmdet - INFO - Epoch [26][6450/7330] lr: 1.000e-04, eta: 5:19:17, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0311, loss_cls: 0.1603, acc: 94.0769, loss_bbox: 0.2036, loss_mask: 0.2142, loss: 0.6325 2023-11-15 02:20:37,844 - mmdet - INFO - Epoch [26][6500/7330] lr: 1.000e-04, eta: 5:19:04, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0326, loss_cls: 0.1627, acc: 94.0828, loss_bbox: 0.2039, loss_mask: 0.2107, loss: 0.6331 2023-11-15 02:20:50,778 - mmdet - INFO - Epoch [26][6550/7330] lr: 1.000e-04, eta: 5:18:52, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0303, loss_cls: 0.1576, acc: 94.2227, loss_bbox: 0.1969, loss_mask: 0.2111, loss: 0.6159 2023-11-15 02:21:03,586 - mmdet - INFO - Epoch [26][6600/7330] lr: 1.000e-04, eta: 5:18:39, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0321, loss_cls: 0.1601, acc: 94.1196, loss_bbox: 0.2041, loss_mask: 0.2084, loss: 0.6268 2023-11-15 02:21:36,927 - mmdet - INFO - Epoch [26][6650/7330] lr: 1.000e-04, eta: 5:18:34, time: 0.667, data_time: 0.074, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0315, loss_cls: 0.1504, acc: 94.3386, loss_bbox: 0.1940, loss_mask: 0.2063, loss: 0.6030 2023-11-15 02:22:13,120 - mmdet - INFO - Epoch [26][6700/7330] lr: 1.000e-04, eta: 5:18:30, time: 0.724, data_time: 0.158, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0301, loss_cls: 0.1545, acc: 94.4033, loss_bbox: 0.1970, loss_mask: 0.2079, loss: 0.6126 2023-11-15 02:22:30,843 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 02:22:30,843 - mmdet - INFO - Epoch [26][6750/7330] lr: 1.000e-04, eta: 5:18:19, time: 0.355, data_time: 0.055, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0302, loss_cls: 0.1554, acc: 94.3533, loss_bbox: 0.1952, loss_mask: 0.2039, loss: 0.6064 2023-11-15 02:22:55,935 - mmdet - INFO - Epoch [26][6800/7330] lr: 1.000e-04, eta: 5:18:10, time: 0.502, data_time: 0.247, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0287, loss_cls: 0.1449, acc: 94.7522, loss_bbox: 0.1852, loss_mask: 0.1951, loss: 0.5738 2023-11-15 02:23:08,943 - mmdet - INFO - Epoch [26][6850/7330] lr: 1.000e-04, eta: 5:17:58, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0304, loss_cls: 0.1588, acc: 94.1624, loss_bbox: 0.1958, loss_mask: 0.2074, loss: 0.6154 2023-11-15 02:23:22,102 - mmdet - INFO - Epoch [26][6900/7330] lr: 1.000e-04, eta: 5:17:45, time: 0.263, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0325, loss_cls: 0.1581, acc: 94.1631, loss_bbox: 0.1998, loss_mask: 0.2126, loss: 0.6259 2023-11-15 02:23:35,029 - mmdet - INFO - Epoch [26][6950/7330] lr: 1.000e-04, eta: 5:17:32, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0316, loss_cls: 0.1582, acc: 94.2078, loss_bbox: 0.2016, loss_mask: 0.2116, loss: 0.6266 2023-11-15 02:23:48,036 - mmdet - INFO - Epoch [26][7000/7330] lr: 1.000e-04, eta: 5:17:19, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0304, loss_cls: 0.1492, acc: 94.5491, loss_bbox: 0.1922, loss_mask: 0.2085, loss: 0.6005 2023-11-15 02:24:00,896 - mmdet - INFO - Epoch [26][7050/7330] lr: 1.000e-04, eta: 5:17:06, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0305, loss_cls: 0.1570, acc: 94.3452, loss_bbox: 0.1968, loss_mask: 0.2059, loss: 0.6107 2023-11-15 02:24:15,867 - mmdet - INFO - Epoch [26][7100/7330] lr: 1.000e-04, eta: 5:16:54, time: 0.299, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0318, loss_cls: 0.1603, acc: 94.1570, loss_bbox: 0.2030, loss_mask: 0.2060, loss: 0.6224 2023-11-15 02:24:28,861 - mmdet - INFO - Epoch [26][7150/7330] lr: 1.000e-04, eta: 5:16:41, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0310, loss_cls: 0.1642, acc: 93.9863, loss_bbox: 0.2057, loss_mask: 0.2122, loss: 0.6348 2023-11-15 02:24:41,856 - mmdet - INFO - Epoch [26][7200/7330] lr: 1.000e-04, eta: 5:16:28, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0304, loss_cls: 0.1610, acc: 94.0637, loss_bbox: 0.2039, loss_mask: 0.2044, loss: 0.6199 2023-11-15 02:24:54,634 - mmdet - INFO - Epoch [26][7250/7330] lr: 1.000e-04, eta: 5:16:15, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0325, loss_cls: 0.1577, acc: 94.2705, loss_bbox: 0.1972, loss_mask: 0.2085, loss: 0.6185 2023-11-15 02:25:07,833 - mmdet - INFO - Epoch [26][7300/7330] lr: 1.000e-04, eta: 5:16:02, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0326, loss_cls: 0.1611, acc: 94.0510, loss_bbox: 0.2051, loss_mask: 0.2117, loss: 0.6330 2023-11-15 02:25:16,034 - mmdet - INFO - Saving checkpoint at 26 epochs 2023-11-15 02:26:03,089 - mmdet - INFO - Evaluating bbox... 2023-11-15 02:26:33,082 - 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 ] = 0.689 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.518 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.315 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.514 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.608 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.427 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.735 2023-11-15 02:26:33,084 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.580 | bicycle | 0.373 | car | 0.490 | | motorcycle | 0.496 | airplane | 0.716 | bus | 0.704 | | train | 0.682 | truck | 0.436 | boat | 0.322 | | traffic light | 0.299 | fire hydrant | 0.697 | stop sign | 0.683 | | parking meter | 0.506 | bench | 0.304 | bird | 0.407 | | cat | 0.714 | dog | 0.704 | horse | 0.616 | | sheep | 0.593 | cow | 0.618 | elephant | 0.681 | | bear | 0.717 | zebra | 0.677 | giraffe | 0.683 | | backpack | 0.198 | umbrella | 0.442 | handbag | 0.232 | | tie | 0.404 | suitcase | 0.480 | frisbee | 0.689 | | skis | 0.306 | snowboard | 0.400 | sports ball | 0.469 | | kite | 0.458 | baseball bat | 0.412 | baseball glove | 0.427 | | skateboard | 0.584 | surfboard | 0.447 | tennis racket | 0.556 | | bottle | 0.450 | wine glass | 0.391 | cup | 0.488 | | fork | 0.452 | knife | 0.277 | spoon | 0.299 | | bowl | 0.466 | banana | 0.288 | apple | 0.243 | | sandwich | 0.416 | orange | 0.338 | broccoli | 0.243 | | carrot | 0.258 | hot dog | 0.415 | pizza | 0.545 | | donut | 0.527 | cake | 0.437 | chair | 0.358 | | couch | 0.468 | potted plant | 0.337 | bed | 0.457 | | dining table | 0.306 | toilet | 0.653 | tv | 0.603 | | laptop | 0.662 | mouse | 0.627 | remote | 0.410 | | keyboard | 0.543 | cell phone | 0.422 | microwave | 0.600 | | oven | 0.391 | toaster | 0.611 | sink | 0.439 | | refrigerator | 0.634 | book | 0.195 | clock | 0.507 | | vase | 0.438 | scissors | 0.371 | teddy bear | 0.514 | | hair drier | 0.168 | toothbrush | 0.333 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 02:26:33,085 - mmdet - INFO - Evaluating segm... 2023-11-15 02:27:07,589 - 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 ] = 0.660 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.457 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.232 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.460 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.608 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.542 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.362 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 ] = 0.698 2023-11-15 02:27:07,592 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.508 | bicycle | 0.230 | car | 0.453 | | motorcycle | 0.384 | airplane | 0.567 | bus | 0.696 | | train | 0.665 | truck | 0.419 | boat | 0.294 | | traffic light | 0.285 | fire hydrant | 0.669 | stop sign | 0.665 | | parking meter | 0.514 | bench | 0.224 | bird | 0.343 | | cat | 0.701 | dog | 0.651 | horse | 0.465 | | sheep | 0.523 | cow | 0.534 | elephant | 0.624 | | bear | 0.722 | zebra | 0.602 | giraffe | 0.521 | | backpack | 0.200 | umbrella | 0.515 | handbag | 0.215 | | tie | 0.353 | suitcase | 0.494 | frisbee | 0.656 | | skis | 0.044 | snowboard | 0.241 | sports ball | 0.451 | | kite | 0.340 | baseball bat | 0.305 | baseball glove | 0.451 | | skateboard | 0.344 | surfboard | 0.361 | tennis racket | 0.579 | | bottle | 0.430 | wine glass | 0.344 | cup | 0.485 | | fork | 0.220 | knife | 0.186 | spoon | 0.205 | | bowl | 0.427 | banana | 0.242 | apple | 0.239 | | sandwich | 0.429 | orange | 0.337 | broccoli | 0.230 | | carrot | 0.227 | hot dog | 0.322 | pizza | 0.523 | | donut | 0.528 | cake | 0.447 | chair | 0.252 | | couch | 0.399 | potted plant | 0.295 | bed | 0.381 | | dining table | 0.181 | toilet | 0.643 | tv | 0.638 | | laptop | 0.653 | mouse | 0.634 | remote | 0.379 | | keyboard | 0.523 | cell phone | 0.403 | microwave | 0.635 | | oven | 0.373 | toaster | 0.660 | sink | 0.418 | | refrigerator | 0.634 | book | 0.147 | clock | 0.502 | | vase | 0.429 | scissors | 0.299 | teddy bear | 0.492 | | hair drier | 0.137 | toothbrush | 0.226 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 02:27:07,989 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_22.pth was removed 2023-11-15 02:27:09,642 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_26.pth. 2023-11-15 02:27:09,642 - mmdet - INFO - Best bbox_mAP is 0.4722 at 26 epoch. 2023-11-15 02:27:09,643 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 02:27:09,643 - mmdet - INFO - Epoch(val) [26][625] bbox_mAP: 0.4722, bbox_mAP_50: 0.6894, bbox_mAP_75: 0.5183, bbox_mAP_s: 0.3153, bbox_mAP_m: 0.5139, bbox_mAP_l: 0.6081, bbox_mAP_copypaste: 0.4722 0.6894 0.5183 0.3153 0.5139 0.6081, segm_mAP: 0.4245, segm_mAP_50: 0.6599, segm_mAP_75: 0.4575, segm_mAP_s: 0.2321, segm_mAP_m: 0.4600, segm_mAP_l: 0.6077, segm_mAP_copypaste: 0.4245 0.6599 0.4575 0.2321 0.4600 0.6077 2023-11-15 02:27:25,933 - mmdet - INFO - Epoch [27][50/7330] lr: 1.000e-04, eta: 5:15:40, time: 0.326, data_time: 0.079, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0279, loss_cls: 0.1434, acc: 94.6921, loss_bbox: 0.1878, loss_mask: 0.2004, loss: 0.5778 2023-11-15 02:27:39,336 - mmdet - INFO - Epoch [27][100/7330] lr: 1.000e-04, eta: 5:15:27, time: 0.268, data_time: 0.021, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0317, loss_cls: 0.1534, acc: 94.3311, loss_bbox: 0.2002, loss_mask: 0.2045, loss: 0.6109 2023-11-15 02:27:52,601 - mmdet - INFO - Epoch [27][150/7330] lr: 1.000e-04, eta: 5:15:14, time: 0.265, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0296, loss_cls: 0.1478, acc: 94.5173, loss_bbox: 0.1874, loss_mask: 0.2026, loss: 0.5869 2023-11-15 02:28:05,621 - mmdet - INFO - Epoch [27][200/7330] lr: 1.000e-04, eta: 5:15:01, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0329, loss_cls: 0.1638, acc: 94.0208, loss_bbox: 0.2091, loss_mask: 0.2095, loss: 0.6388 2023-11-15 02:28:18,722 - mmdet - INFO - Epoch [27][250/7330] lr: 1.000e-04, eta: 5:14:49, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0301, loss_cls: 0.1514, acc: 94.5959, loss_bbox: 0.1906, loss_mask: 0.2031, loss: 0.5977 2023-11-15 02:28:31,655 - mmdet - INFO - Epoch [27][300/7330] lr: 1.000e-04, eta: 5:14:36, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0300, loss_cls: 0.1503, acc: 94.5076, loss_bbox: 0.1913, loss_mask: 0.2055, loss: 0.5980 2023-11-15 02:28:45,173 - mmdet - INFO - Epoch [27][350/7330] lr: 1.000e-04, eta: 5:14:23, time: 0.270, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0316, loss_cls: 0.1479, acc: 94.5012, loss_bbox: 0.1912, loss_mask: 0.2001, loss: 0.5927 2023-11-15 02:28:58,541 - mmdet - INFO - Epoch [27][400/7330] lr: 1.000e-04, eta: 5:14:10, time: 0.267, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0239, loss_rpn_bbox: 0.0342, loss_cls: 0.1620, acc: 93.9614, loss_bbox: 0.2093, loss_mask: 0.2166, loss: 0.6459 2023-11-15 02:29:11,443 - mmdet - INFO - Epoch [27][450/7330] lr: 1.000e-04, eta: 5:13:57, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0290, loss_cls: 0.1431, acc: 94.7251, loss_bbox: 0.1890, loss_mask: 0.2037, loss: 0.5853 2023-11-15 02:29:24,900 - mmdet - INFO - Epoch [27][500/7330] lr: 1.000e-04, eta: 5:13:44, time: 0.269, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0297, loss_cls: 0.1560, acc: 94.3662, loss_bbox: 0.1917, loss_mask: 0.2025, loss: 0.5981 2023-11-15 02:29:38,405 - mmdet - INFO - Epoch [27][550/7330] lr: 1.000e-04, eta: 5:13:32, time: 0.270, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0312, loss_cls: 0.1556, acc: 94.3000, loss_bbox: 0.1998, loss_mask: 0.2080, loss: 0.6149 2023-11-15 02:29:51,453 - mmdet - INFO - Epoch [27][600/7330] lr: 1.000e-04, eta: 5:13:19, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0298, loss_cls: 0.1546, acc: 94.3889, loss_bbox: 0.1965, loss_mask: 0.2065, loss: 0.6092 2023-11-15 02:30:04,723 - mmdet - INFO - Epoch [27][650/7330] lr: 1.000e-04, eta: 5:13:06, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0334, loss_cls: 0.1577, acc: 94.2161, loss_bbox: 0.2024, loss_mask: 0.2091, loss: 0.6236 2023-11-15 02:30:17,512 - mmdet - INFO - Epoch [27][700/7330] lr: 1.000e-04, eta: 5:12:53, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0222, loss_rpn_bbox: 0.0319, loss_cls: 0.1545, acc: 94.2004, loss_bbox: 0.2035, loss_mask: 0.2108, loss: 0.6229 2023-11-15 02:30:30,311 - mmdet - INFO - Epoch [27][750/7330] lr: 1.000e-04, eta: 5:12:40, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0275, loss_cls: 0.1458, acc: 94.6567, loss_bbox: 0.1903, loss_mask: 0.2030, loss: 0.5866 2023-11-15 02:30:43,213 - mmdet - INFO - Epoch [27][800/7330] lr: 1.000e-04, eta: 5:12:27, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0311, loss_cls: 0.1586, acc: 94.1748, loss_bbox: 0.2044, loss_mask: 0.2047, loss: 0.6209 2023-11-15 02:30:56,229 - mmdet - INFO - Epoch [27][850/7330] lr: 1.000e-04, eta: 5:12:14, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0307, loss_cls: 0.1536, acc: 94.2349, loss_bbox: 0.2004, loss_mask: 0.2044, loss: 0.6096 2023-11-15 02:31:09,686 - mmdet - INFO - Epoch [27][900/7330] lr: 1.000e-04, eta: 5:12:02, time: 0.269, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0309, loss_cls: 0.1581, acc: 94.2058, loss_bbox: 0.2045, loss_mask: 0.2114, loss: 0.6266 2023-11-15 02:31:22,729 - mmdet - INFO - Epoch [27][950/7330] lr: 1.000e-04, eta: 5:11:49, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0305, loss_cls: 0.1504, acc: 94.5540, loss_bbox: 0.1897, loss_mask: 0.2042, loss: 0.5956 2023-11-15 02:31:35,556 - mmdet - INFO - Epoch [27][1000/7330] lr: 1.000e-04, eta: 5:11:36, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0312, loss_cls: 0.1534, acc: 94.2783, loss_bbox: 0.1988, loss_mask: 0.2109, loss: 0.6162 2023-11-15 02:31:48,517 - mmdet - INFO - Epoch [27][1050/7330] lr: 1.000e-04, eta: 5:11:23, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0331, loss_cls: 0.1559, acc: 94.2979, loss_bbox: 0.2024, loss_mask: 0.2057, loss: 0.6174 2023-11-15 02:32:01,858 - mmdet - INFO - Epoch [27][1100/7330] lr: 1.000e-04, eta: 5:11:10, time: 0.267, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0336, loss_cls: 0.1581, acc: 94.1072, loss_bbox: 0.2082, loss_mask: 0.2070, loss: 0.6312 2023-11-15 02:32:14,928 - mmdet - INFO - Epoch [27][1150/7330] lr: 1.000e-04, eta: 5:10:57, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0337, loss_cls: 0.1618, acc: 94.0732, loss_bbox: 0.2123, loss_mask: 0.2086, loss: 0.6391 2023-11-15 02:32:28,112 - mmdet - INFO - Epoch [27][1200/7330] lr: 1.000e-04, eta: 5:10:44, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0305, loss_cls: 0.1521, acc: 94.4871, loss_bbox: 0.1943, loss_mask: 0.2017, loss: 0.5999 2023-11-15 02:32:40,977 - mmdet - INFO - Epoch [27][1250/7330] lr: 1.000e-04, eta: 5:10:31, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0300, loss_cls: 0.1523, acc: 94.2776, loss_bbox: 0.1981, loss_mask: 0.2055, loss: 0.6061 2023-11-15 02:32:54,077 - mmdet - INFO - Epoch [27][1300/7330] lr: 1.000e-04, eta: 5:10:18, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0320, loss_cls: 0.1585, acc: 94.2439, loss_bbox: 0.1993, loss_mask: 0.2048, loss: 0.6167 2023-11-15 02:33:06,816 - mmdet - INFO - Epoch [27][1350/7330] lr: 1.000e-04, eta: 5:10:05, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0282, loss_cls: 0.1465, acc: 94.7236, loss_bbox: 0.1911, loss_mask: 0.2071, loss: 0.5936 2023-11-15 02:33:20,092 - mmdet - INFO - Epoch [27][1400/7330] lr: 1.000e-04, eta: 5:09:53, time: 0.266, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0301, loss_cls: 0.1554, acc: 94.2590, loss_bbox: 0.2015, loss_mask: 0.2108, loss: 0.6177 2023-11-15 02:33:33,264 - mmdet - INFO - Epoch [27][1450/7330] lr: 1.000e-04, eta: 5:09:40, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0327, loss_cls: 0.1643, acc: 93.8748, loss_bbox: 0.2115, loss_mask: 0.2100, loss: 0.6413 2023-11-15 02:33:46,441 - mmdet - INFO - Epoch [27][1500/7330] lr: 1.000e-04, eta: 5:09:27, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0312, loss_cls: 0.1581, acc: 94.1697, loss_bbox: 0.1997, loss_mask: 0.2094, loss: 0.6186 2023-11-15 02:33:59,629 - mmdet - INFO - Epoch [27][1550/7330] lr: 1.000e-04, eta: 5:09:14, time: 0.264, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0314, loss_cls: 0.1648, acc: 94.0571, loss_bbox: 0.2052, loss_mask: 0.2109, loss: 0.6345 2023-11-15 02:34:12,738 - mmdet - INFO - Epoch [27][1600/7330] lr: 1.000e-04, eta: 5:09:01, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0301, loss_cls: 0.1540, acc: 94.4082, loss_bbox: 0.1944, loss_mask: 0.2055, loss: 0.6044 2023-11-15 02:34:25,445 - mmdet - INFO - Epoch [27][1650/7330] lr: 1.000e-04, eta: 5:08:48, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0316, loss_cls: 0.1612, acc: 94.1829, loss_bbox: 0.2028, loss_mask: 0.2084, loss: 0.6270 2023-11-15 02:34:38,238 - mmdet - INFO - Epoch [27][1700/7330] lr: 1.000e-04, eta: 5:08:35, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0303, loss_cls: 0.1564, acc: 94.3657, loss_bbox: 0.2020, loss_mask: 0.2094, loss: 0.6180 2023-11-15 02:34:51,230 - mmdet - INFO - Epoch [27][1750/7330] lr: 1.000e-04, eta: 5:08:22, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0279, loss_cls: 0.1524, acc: 94.4490, loss_bbox: 0.1920, loss_mask: 0.2118, loss: 0.6029 2023-11-15 02:35:04,583 - mmdet - INFO - Epoch [27][1800/7330] lr: 1.000e-04, eta: 5:08:10, time: 0.267, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0312, loss_cls: 0.1551, acc: 94.4331, loss_bbox: 0.1980, loss_mask: 0.2067, loss: 0.6138 2023-11-15 02:35:17,759 - mmdet - INFO - Epoch [27][1850/7330] lr: 1.000e-04, eta: 5:07:57, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0291, loss_cls: 0.1509, acc: 94.4429, loss_bbox: 0.1945, loss_mask: 0.2104, loss: 0.6065 2023-11-15 02:35:30,858 - mmdet - INFO - Epoch [27][1900/7330] lr: 1.000e-04, eta: 5:07:44, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0309, loss_cls: 0.1578, acc: 94.3518, loss_bbox: 0.2017, loss_mask: 0.2167, loss: 0.6271 2023-11-15 02:35:43,861 - mmdet - INFO - Epoch [27][1950/7330] lr: 1.000e-04, eta: 5:07:31, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0304, loss_cls: 0.1550, acc: 94.2957, loss_bbox: 0.1963, loss_mask: 0.2029, loss: 0.6051 2023-11-15 02:35:56,853 - mmdet - INFO - Epoch [27][2000/7330] lr: 1.000e-04, eta: 5:07:18, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0311, loss_cls: 0.1550, acc: 94.3767, loss_bbox: 0.1980, loss_mask: 0.2029, loss: 0.6094 2023-11-15 02:36:09,943 - mmdet - INFO - Epoch [27][2050/7330] lr: 1.000e-04, eta: 5:07:05, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0296, loss_cls: 0.1548, acc: 94.3635, loss_bbox: 0.1962, loss_mask: 0.2061, loss: 0.6068 2023-11-15 02:36:22,828 - mmdet - INFO - Epoch [27][2100/7330] lr: 1.000e-04, eta: 5:06:52, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0312, loss_cls: 0.1583, acc: 94.2178, loss_bbox: 0.2016, loss_mask: 0.2133, loss: 0.6271 2023-11-15 02:36:35,923 - mmdet - INFO - Epoch [27][2150/7330] lr: 1.000e-04, eta: 5:06:39, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0312, loss_cls: 0.1513, acc: 94.3911, loss_bbox: 0.1967, loss_mask: 0.2086, loss: 0.6084 2023-11-15 02:36:48,753 - mmdet - INFO - Epoch [27][2200/7330] lr: 1.000e-04, eta: 5:06:26, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0293, loss_cls: 0.1517, acc: 94.4006, loss_bbox: 0.1960, loss_mask: 0.2064, loss: 0.6017 2023-11-15 02:37:01,555 - mmdet - INFO - Epoch [27][2250/7330] lr: 1.000e-04, eta: 5:06:13, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0323, loss_cls: 0.1556, acc: 94.3628, loss_bbox: 0.1994, loss_mask: 0.2078, loss: 0.6168 2023-11-15 02:37:14,510 - mmdet - INFO - Epoch [27][2300/7330] lr: 1.000e-04, eta: 5:06:01, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0310, loss_cls: 0.1559, acc: 94.4802, loss_bbox: 0.1902, loss_mask: 0.1994, loss: 0.5985 2023-11-15 02:37:27,067 - mmdet - INFO - Epoch [27][2350/7330] lr: 1.000e-04, eta: 5:05:47, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0314, loss_cls: 0.1500, acc: 94.5205, loss_bbox: 0.1926, loss_mask: 0.2048, loss: 0.6001 2023-11-15 02:37:40,121 - mmdet - INFO - Epoch [27][2400/7330] lr: 1.000e-04, eta: 5:05:35, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0315, loss_cls: 0.1599, acc: 94.0627, loss_bbox: 0.2077, loss_mask: 0.2171, loss: 0.6380 2023-11-15 02:37:53,002 - mmdet - INFO - Epoch [27][2450/7330] lr: 1.000e-04, eta: 5:05:22, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0301, loss_cls: 0.1536, acc: 94.3464, loss_bbox: 0.1951, loss_mask: 0.2048, loss: 0.6048 2023-11-15 02:38:06,035 - mmdet - INFO - Epoch [27][2500/7330] lr: 1.000e-04, eta: 5:05:09, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0316, loss_cls: 0.1572, acc: 94.1963, loss_bbox: 0.1994, loss_mask: 0.2103, loss: 0.6204 2023-11-15 02:38:19,017 - mmdet - INFO - Epoch [27][2550/7330] lr: 1.000e-04, eta: 5:04:56, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0311, loss_cls: 0.1571, acc: 94.1042, loss_bbox: 0.2019, loss_mask: 0.2110, loss: 0.6210 2023-11-15 02:38:31,654 - mmdet - INFO - Epoch [27][2600/7330] lr: 1.000e-04, eta: 5:04:43, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0286, loss_cls: 0.1489, acc: 94.5400, loss_bbox: 0.1902, loss_mask: 0.2079, loss: 0.5956 2023-11-15 02:38:44,328 - mmdet - INFO - Epoch [27][2650/7330] lr: 1.000e-04, eta: 5:04:30, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0237, loss_rpn_bbox: 0.0309, loss_cls: 0.1556, acc: 94.2874, loss_bbox: 0.1976, loss_mask: 0.2119, loss: 0.6197 2023-11-15 02:38:57,257 - mmdet - INFO - Epoch [27][2700/7330] lr: 1.000e-04, eta: 5:04:17, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0320, loss_cls: 0.1557, acc: 94.2498, loss_bbox: 0.1995, loss_mask: 0.2049, loss: 0.6132 2023-11-15 02:39:10,228 - mmdet - INFO - Epoch [27][2750/7330] lr: 1.000e-04, eta: 5:04:04, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0335, loss_cls: 0.1628, acc: 93.9717, loss_bbox: 0.2107, loss_mask: 0.2140, loss: 0.6443 2023-11-15 02:39:22,947 - mmdet - INFO - Epoch [27][2800/7330] lr: 1.000e-04, eta: 5:03:51, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0227, loss_rpn_bbox: 0.0321, loss_cls: 0.1621, acc: 94.0786, loss_bbox: 0.2031, loss_mask: 0.2069, loss: 0.6270 2023-11-15 02:39:35,659 - mmdet - INFO - Epoch [27][2850/7330] lr: 1.000e-04, eta: 5:03:38, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0325, loss_cls: 0.1556, acc: 94.2712, loss_bbox: 0.2029, loss_mask: 0.2107, loss: 0.6235 2023-11-15 02:39:48,300 - mmdet - INFO - Epoch [27][2900/7330] lr: 1.000e-04, eta: 5:03:25, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0306, loss_cls: 0.1597, acc: 94.1614, loss_bbox: 0.2036, loss_mask: 0.2056, loss: 0.6219 2023-11-15 02:40:01,112 - mmdet - INFO - Epoch [27][2950/7330] lr: 1.000e-04, eta: 5:03:12, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0319, loss_cls: 0.1535, acc: 94.3879, loss_bbox: 0.2003, loss_mask: 0.2060, loss: 0.6151 2023-11-15 02:40:13,929 - mmdet - INFO - Epoch [27][3000/7330] lr: 1.000e-04, eta: 5:02:59, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0323, loss_cls: 0.1563, acc: 94.2488, loss_bbox: 0.2029, loss_mask: 0.2106, loss: 0.6246 2023-11-15 02:40:26,635 - mmdet - INFO - Epoch [27][3050/7330] lr: 1.000e-04, eta: 5:02:46, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0302, loss_cls: 0.1510, acc: 94.5293, loss_bbox: 0.1933, loss_mask: 0.2045, loss: 0.6016 2023-11-15 02:40:39,610 - mmdet - INFO - Epoch [27][3100/7330] lr: 1.000e-04, eta: 5:02:33, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0307, loss_cls: 0.1583, acc: 94.2959, loss_bbox: 0.2032, loss_mask: 0.2078, loss: 0.6202 2023-11-15 02:40:52,781 - mmdet - INFO - Epoch [27][3150/7330] lr: 1.000e-04, eta: 5:02:20, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0311, loss_cls: 0.1555, acc: 94.2776, loss_bbox: 0.2006, loss_mask: 0.2050, loss: 0.6128 2023-11-15 02:41:05,815 - mmdet - INFO - Epoch [27][3200/7330] lr: 1.000e-04, eta: 5:02:07, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0308, loss_cls: 0.1524, acc: 94.4380, loss_bbox: 0.1941, loss_mask: 0.2047, loss: 0.6019 2023-11-15 02:41:18,469 - mmdet - INFO - Epoch [27][3250/7330] lr: 1.000e-04, eta: 5:01:54, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0298, loss_cls: 0.1560, acc: 94.3369, loss_bbox: 0.1958, loss_mask: 0.2081, loss: 0.6114 2023-11-15 02:41:31,365 - mmdet - INFO - Epoch [27][3300/7330] lr: 1.000e-04, eta: 5:01:41, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0312, loss_cls: 0.1512, acc: 94.4197, loss_bbox: 0.1996, loss_mask: 0.2090, loss: 0.6120 2023-11-15 02:41:43,915 - mmdet - INFO - Epoch [27][3350/7330] lr: 1.000e-04, eta: 5:01:28, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0306, loss_cls: 0.1601, acc: 94.1458, loss_bbox: 0.2029, loss_mask: 0.2137, loss: 0.6302 2023-11-15 02:41:56,742 - mmdet - INFO - Epoch [27][3400/7330] lr: 1.000e-04, eta: 5:01:15, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0300, loss_cls: 0.1573, acc: 94.3037, loss_bbox: 0.2026, loss_mask: 0.2076, loss: 0.6173 2023-11-15 02:42:09,464 - mmdet - INFO - Epoch [27][3450/7330] lr: 1.000e-04, eta: 5:01:02, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0306, loss_cls: 0.1588, acc: 94.1414, loss_bbox: 0.2013, loss_mask: 0.2054, loss: 0.6174 2023-11-15 02:42:22,254 - mmdet - INFO - Epoch [27][3500/7330] lr: 1.000e-04, eta: 5:00:49, time: 0.256, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0319, loss_cls: 0.1571, acc: 94.3450, loss_bbox: 0.2010, loss_mask: 0.2078, loss: 0.6197 2023-11-15 02:42:35,146 - mmdet - INFO - Epoch [27][3550/7330] lr: 1.000e-04, eta: 5:00:36, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0327, loss_cls: 0.1519, acc: 94.3875, loss_bbox: 0.1974, loss_mask: 0.2107, loss: 0.6134 2023-11-15 02:42:47,943 - mmdet - INFO - Epoch [27][3600/7330] lr: 1.000e-04, eta: 5:00:23, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0316, loss_cls: 0.1536, acc: 94.4011, loss_bbox: 0.1987, loss_mask: 0.2073, loss: 0.6127 2023-11-15 02:43:00,836 - mmdet - INFO - Epoch [27][3650/7330] lr: 1.000e-04, eta: 5:00:10, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0337, loss_cls: 0.1595, acc: 94.1917, loss_bbox: 0.2052, loss_mask: 0.2115, loss: 0.6328 2023-11-15 02:43:13,511 - mmdet - INFO - Epoch [27][3700/7330] lr: 1.000e-04, eta: 4:59:57, time: 0.253, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0302, loss_cls: 0.1551, acc: 94.3523, loss_bbox: 0.1995, loss_mask: 0.2069, loss: 0.6148 2023-11-15 02:43:26,456 - mmdet - INFO - Epoch [27][3750/7330] lr: 1.000e-04, eta: 4:59:44, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0329, loss_cls: 0.1592, acc: 94.1914, loss_bbox: 0.2048, loss_mask: 0.2115, loss: 0.6314 2023-11-15 02:43:39,277 - mmdet - INFO - Epoch [27][3800/7330] lr: 1.000e-04, eta: 4:59:31, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0288, loss_cls: 0.1501, acc: 94.4604, loss_bbox: 0.1926, loss_mask: 0.2094, loss: 0.6016 2023-11-15 02:43:52,160 - mmdet - INFO - Epoch [27][3850/7330] lr: 1.000e-04, eta: 4:59:19, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0317, loss_cls: 0.1585, acc: 94.2068, loss_bbox: 0.2027, loss_mask: 0.2114, loss: 0.6273 2023-11-15 02:44:04,977 - mmdet - INFO - Epoch [27][3900/7330] lr: 1.000e-04, eta: 4:59:06, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0309, loss_cls: 0.1567, acc: 94.3477, loss_bbox: 0.1967, loss_mask: 0.2082, loss: 0.6146 2023-11-15 02:44:17,858 - mmdet - INFO - Epoch [27][3950/7330] lr: 1.000e-04, eta: 4:58:53, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0313, loss_cls: 0.1576, acc: 94.2595, loss_bbox: 0.2000, loss_mask: 0.2060, loss: 0.6160 2023-11-15 02:44:30,533 - mmdet - INFO - Epoch [27][4000/7330] lr: 1.000e-04, eta: 4:58:40, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0304, loss_cls: 0.1519, acc: 94.3679, loss_bbox: 0.1964, loss_mask: 0.2061, loss: 0.6065 2023-11-15 02:44:43,213 - mmdet - INFO - Epoch [27][4050/7330] lr: 1.000e-04, eta: 4:58:27, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0331, loss_cls: 0.1583, acc: 94.2236, loss_bbox: 0.2040, loss_mask: 0.2138, loss: 0.6315 2023-11-15 02:44:55,842 - mmdet - INFO - Epoch [27][4100/7330] lr: 1.000e-04, eta: 4:58:14, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0331, loss_cls: 0.1600, acc: 94.1118, loss_bbox: 0.2050, loss_mask: 0.2114, loss: 0.6323 2023-11-15 02:45:08,656 - mmdet - INFO - Epoch [27][4150/7330] lr: 1.000e-04, eta: 4:58:01, time: 0.256, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0248, loss_rpn_bbox: 0.0307, loss_cls: 0.1608, acc: 94.1641, loss_bbox: 0.1984, loss_mask: 0.2129, loss: 0.6276 2023-11-15 02:45:21,586 - mmdet - INFO - Epoch [27][4200/7330] lr: 1.000e-04, eta: 4:57:48, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0328, loss_cls: 0.1605, acc: 94.1526, loss_bbox: 0.2025, loss_mask: 0.2066, loss: 0.6249 2023-11-15 02:45:34,387 - mmdet - INFO - Epoch [27][4250/7330] lr: 1.000e-04, eta: 4:57:35, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0301, loss_cls: 0.1539, acc: 94.3176, loss_bbox: 0.1980, loss_mask: 0.2068, loss: 0.6100 2023-11-15 02:45:47,260 - mmdet - INFO - Epoch [27][4300/7330] lr: 1.000e-04, eta: 4:57:22, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0311, loss_cls: 0.1579, acc: 94.2275, loss_bbox: 0.1992, loss_mask: 0.2087, loss: 0.6183 2023-11-15 02:46:00,060 - mmdet - INFO - Epoch [27][4350/7330] lr: 1.000e-04, eta: 4:57:09, time: 0.256, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0324, loss_cls: 0.1585, acc: 94.2021, loss_bbox: 0.2016, loss_mask: 0.2084, loss: 0.6243 2023-11-15 02:46:12,793 - mmdet - INFO - Epoch [27][4400/7330] lr: 1.000e-04, eta: 4:56:56, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0305, loss_cls: 0.1533, acc: 94.3938, loss_bbox: 0.1982, loss_mask: 0.2092, loss: 0.6130 2023-11-15 02:46:25,956 - mmdet - INFO - Epoch [27][4450/7330] lr: 1.000e-04, eta: 4:56:43, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0303, loss_cls: 0.1591, acc: 94.1814, loss_bbox: 0.2027, loss_mask: 0.2102, loss: 0.6237 2023-11-15 02:46:38,807 - mmdet - INFO - Epoch [27][4500/7330] lr: 1.000e-04, eta: 4:56:30, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0311, loss_cls: 0.1578, acc: 94.1423, loss_bbox: 0.2002, loss_mask: 0.2087, loss: 0.6184 2023-11-15 02:46:51,825 - mmdet - INFO - Epoch [27][4550/7330] lr: 1.000e-04, eta: 4:56:17, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0320, loss_cls: 0.1623, acc: 94.0068, loss_bbox: 0.2056, loss_mask: 0.2057, loss: 0.6253 2023-11-15 02:47:04,446 - mmdet - INFO - Epoch [27][4600/7330] lr: 1.000e-04, eta: 4:56:04, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0304, loss_cls: 0.1566, acc: 94.3452, loss_bbox: 0.1982, loss_mask: 0.2079, loss: 0.6131 2023-11-15 02:47:17,433 - mmdet - INFO - Epoch [27][4650/7330] lr: 1.000e-04, eta: 4:55:51, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0253, loss_rpn_bbox: 0.0339, loss_cls: 0.1656, acc: 93.8655, loss_bbox: 0.2126, loss_mask: 0.2176, loss: 0.6550 2023-11-15 02:47:30,234 - mmdet - INFO - Epoch [27][4700/7330] lr: 1.000e-04, eta: 4:55:38, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0306, loss_cls: 0.1532, acc: 94.3406, loss_bbox: 0.1985, loss_mask: 0.2116, loss: 0.6154 2023-11-15 02:47:43,178 - mmdet - INFO - Epoch [27][4750/7330] lr: 1.000e-04, eta: 4:55:25, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0240, loss_rpn_bbox: 0.0307, loss_cls: 0.1589, acc: 94.1396, loss_bbox: 0.2006, loss_mask: 0.2103, loss: 0.6245 2023-11-15 02:47:56,025 - mmdet - INFO - Epoch [27][4800/7330] lr: 1.000e-04, eta: 4:55:12, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0322, loss_cls: 0.1583, acc: 94.2104, loss_bbox: 0.2019, loss_mask: 0.2108, loss: 0.6256 2023-11-15 02:48:08,867 - mmdet - INFO - Epoch [27][4850/7330] lr: 1.000e-04, eta: 4:54:59, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0324, loss_cls: 0.1551, acc: 94.2769, loss_bbox: 0.2028, loss_mask: 0.2130, loss: 0.6230 2023-11-15 02:48:21,526 - mmdet - INFO - Epoch [27][4900/7330] lr: 1.000e-04, eta: 4:54:46, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0300, loss_cls: 0.1543, acc: 94.3870, loss_bbox: 0.2003, loss_mask: 0.2106, loss: 0.6168 2023-11-15 02:48:34,503 - mmdet - INFO - Epoch [27][4950/7330] lr: 1.000e-04, eta: 4:54:33, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0328, loss_cls: 0.1574, acc: 94.2566, loss_bbox: 0.1981, loss_mask: 0.2059, loss: 0.6164 2023-11-15 02:48:47,231 - mmdet - INFO - Epoch [27][5000/7330] lr: 1.000e-04, eta: 4:54:20, time: 0.255, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0242, loss_rpn_bbox: 0.0318, loss_cls: 0.1613, acc: 94.1472, loss_bbox: 0.2029, loss_mask: 0.2133, loss: 0.6335 2023-11-15 02:49:00,244 - mmdet - INFO - Epoch [27][5050/7330] lr: 1.000e-04, eta: 4:54:07, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0323, loss_cls: 0.1550, acc: 94.1838, loss_bbox: 0.2049, loss_mask: 0.2125, loss: 0.6281 2023-11-15 02:49:12,884 - mmdet - INFO - Epoch [27][5100/7330] lr: 1.000e-04, eta: 4:53:54, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0310, loss_cls: 0.1578, acc: 94.2788, loss_bbox: 0.2009, loss_mask: 0.2124, loss: 0.6244 2023-11-15 02:49:25,554 - mmdet - INFO - Epoch [27][5150/7330] lr: 1.000e-04, eta: 4:53:41, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0225, loss_rpn_bbox: 0.0308, loss_cls: 0.1497, acc: 94.5100, loss_bbox: 0.1914, loss_mask: 0.2087, loss: 0.6031 2023-11-15 02:49:38,366 - mmdet - INFO - Epoch [27][5200/7330] lr: 1.000e-04, eta: 4:53:28, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0209, loss_rpn_bbox: 0.0314, loss_cls: 0.1580, acc: 94.2671, loss_bbox: 0.2009, loss_mask: 0.2121, loss: 0.6233 2023-11-15 02:49:51,308 - mmdet - INFO - Epoch [27][5250/7330] lr: 1.000e-04, eta: 4:53:16, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0343, loss_cls: 0.1647, acc: 93.8511, loss_bbox: 0.2054, loss_mask: 0.2086, loss: 0.6363 2023-11-15 02:50:04,144 - mmdet - INFO - Epoch [27][5300/7330] lr: 1.000e-04, eta: 4:53:03, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0307, loss_cls: 0.1604, acc: 94.1084, loss_bbox: 0.2041, loss_mask: 0.2116, loss: 0.6269 2023-11-15 02:50:17,066 - mmdet - INFO - Epoch [27][5350/7330] lr: 1.000e-04, eta: 4:52:50, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0328, loss_cls: 0.1584, acc: 94.1558, loss_bbox: 0.2020, loss_mask: 0.2044, loss: 0.6198 2023-11-15 02:50:29,726 - mmdet - INFO - Epoch [27][5400/7330] lr: 1.000e-04, eta: 4:52:37, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0289, loss_cls: 0.1532, acc: 94.4277, loss_bbox: 0.1966, loss_mask: 0.2038, loss: 0.6012 2023-11-15 02:50:42,651 - mmdet - INFO - Epoch [27][5450/7330] lr: 1.000e-04, eta: 4:52:24, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0320, loss_cls: 0.1623, acc: 94.1167, loss_bbox: 0.2043, loss_mask: 0.2069, loss: 0.6261 2023-11-15 02:50:55,404 - mmdet - INFO - Epoch [27][5500/7330] lr: 1.000e-04, eta: 4:52:11, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0312, loss_cls: 0.1610, acc: 94.0342, loss_bbox: 0.2088, loss_mask: 0.2157, loss: 0.6402 2023-11-15 02:51:08,087 - mmdet - INFO - Epoch [27][5550/7330] lr: 1.000e-04, eta: 4:51:58, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0302, loss_cls: 0.1560, acc: 94.3477, loss_bbox: 0.1970, loss_mask: 0.2080, loss: 0.6120 2023-11-15 02:51:21,046 - mmdet - INFO - Epoch [27][5600/7330] lr: 1.000e-04, eta: 4:51:45, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0312, loss_cls: 0.1546, acc: 94.4163, loss_bbox: 0.1957, loss_mask: 0.2108, loss: 0.6147 2023-11-15 02:51:33,871 - mmdet - INFO - Epoch [27][5650/7330] lr: 1.000e-04, eta: 4:51:32, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0311, loss_cls: 0.1588, acc: 94.2219, loss_bbox: 0.2001, loss_mask: 0.2108, loss: 0.6231 2023-11-15 02:51:46,837 - mmdet - INFO - Epoch [27][5700/7330] lr: 1.000e-04, eta: 4:51:19, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0244, loss_rpn_bbox: 0.0315, loss_cls: 0.1591, acc: 94.3074, loss_bbox: 0.1983, loss_mask: 0.2159, loss: 0.6292 2023-11-15 02:51:59,501 - mmdet - INFO - Epoch [27][5750/7330] lr: 1.000e-04, eta: 4:51:06, time: 0.253, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0226, loss_rpn_bbox: 0.0305, loss_cls: 0.1560, acc: 94.3875, loss_bbox: 0.1963, loss_mask: 0.2071, loss: 0.6126 2023-11-15 02:52:12,459 - mmdet - INFO - Epoch [27][5800/7330] lr: 1.000e-04, eta: 4:50:53, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0302, loss_cls: 0.1546, acc: 94.3389, loss_bbox: 0.2007, loss_mask: 0.2088, loss: 0.6136 2023-11-15 02:52:25,721 - mmdet - INFO - Epoch [27][5850/7330] lr: 1.000e-04, eta: 4:50:40, time: 0.265, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0337, loss_cls: 0.1666, acc: 93.9614, loss_bbox: 0.2097, loss_mask: 0.2151, loss: 0.6485 2023-11-15 02:52:38,399 - mmdet - INFO - Epoch [27][5900/7330] lr: 1.000e-04, eta: 4:50:27, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0319, loss_cls: 0.1602, acc: 94.2573, loss_bbox: 0.2008, loss_mask: 0.2100, loss: 0.6262 2023-11-15 02:52:51,129 - mmdet - INFO - Epoch [27][5950/7330] lr: 1.000e-04, eta: 4:50:14, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0292, loss_cls: 0.1529, acc: 94.4019, loss_bbox: 0.1939, loss_mask: 0.2071, loss: 0.6036 2023-11-15 02:53:03,883 - mmdet - INFO - Epoch [27][6000/7330] lr: 1.000e-04, eta: 4:50:01, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0302, loss_cls: 0.1579, acc: 94.2375, loss_bbox: 0.1980, loss_mask: 0.2042, loss: 0.6123 2023-11-15 02:53:16,608 - mmdet - INFO - Epoch [27][6050/7330] lr: 1.000e-04, eta: 4:49:48, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0305, loss_cls: 0.1540, acc: 94.3896, loss_bbox: 0.1986, loss_mask: 0.2067, loss: 0.6133 2023-11-15 02:53:29,474 - mmdet - INFO - Epoch [27][6100/7330] lr: 1.000e-04, eta: 4:49:35, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0243, loss_rpn_bbox: 0.0333, loss_cls: 0.1596, acc: 94.2307, loss_bbox: 0.2052, loss_mask: 0.2060, loss: 0.6285 2023-11-15 02:53:42,353 - mmdet - INFO - Epoch [27][6150/7330] lr: 1.000e-04, eta: 4:49:22, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0220, loss_rpn_bbox: 0.0308, loss_cls: 0.1613, acc: 94.1863, loss_bbox: 0.2009, loss_mask: 0.2041, loss: 0.6193 2023-11-15 02:53:55,081 - mmdet - INFO - Epoch [27][6200/7330] lr: 1.000e-04, eta: 4:49:09, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0301, loss_cls: 0.1529, acc: 94.3665, loss_bbox: 0.1986, loss_mask: 0.2121, loss: 0.6136 2023-11-15 02:54:07,792 - mmdet - INFO - Epoch [27][6250/7330] lr: 1.000e-04, eta: 4:48:56, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0307, loss_cls: 0.1625, acc: 94.0544, loss_bbox: 0.2038, loss_mask: 0.2134, loss: 0.6308 2023-11-15 02:54:20,537 - mmdet - INFO - Epoch [27][6300/7330] lr: 1.000e-04, eta: 4:48:43, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0287, loss_cls: 0.1496, acc: 94.5439, loss_bbox: 0.1952, loss_mask: 0.2021, loss: 0.5933 2023-11-15 02:54:33,709 - mmdet - INFO - Epoch [27][6350/7330] lr: 1.000e-04, eta: 4:48:30, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0232, loss_rpn_bbox: 0.0318, loss_cls: 0.1649, acc: 93.9072, loss_bbox: 0.2055, loss_mask: 0.2164, loss: 0.6418 2023-11-15 02:54:46,648 - mmdet - INFO - Epoch [27][6400/7330] lr: 1.000e-04, eta: 4:48:17, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0238, loss_rpn_bbox: 0.0324, loss_cls: 0.1625, acc: 94.0845, loss_bbox: 0.2031, loss_mask: 0.2123, loss: 0.6340 2023-11-15 02:54:59,487 - mmdet - INFO - Epoch [27][6450/7330] lr: 1.000e-04, eta: 4:48:04, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0212, loss_rpn_bbox: 0.0311, loss_cls: 0.1513, acc: 94.3848, loss_bbox: 0.1994, loss_mask: 0.2060, loss: 0.6089 2023-11-15 02:55:12,368 - mmdet - INFO - Epoch [27][6500/7330] lr: 1.000e-04, eta: 4:47:52, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0308, loss_cls: 0.1573, acc: 94.2644, loss_bbox: 0.1977, loss_mask: 0.2160, loss: 0.6248 2023-11-15 02:55:25,230 - mmdet - INFO - Epoch [27][6550/7330] lr: 1.000e-04, eta: 4:47:39, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0319, loss_cls: 0.1609, acc: 94.1035, loss_bbox: 0.2016, loss_mask: 0.2129, loss: 0.6290 2023-11-15 02:55:38,181 - mmdet - INFO - Epoch [27][6600/7330] lr: 1.000e-04, eta: 4:47:26, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0228, loss_rpn_bbox: 0.0330, loss_cls: 0.1649, acc: 94.1262, loss_bbox: 0.2017, loss_mask: 0.2107, loss: 0.6332 2023-11-15 02:55:51,247 - mmdet - INFO - Epoch [27][6650/7330] lr: 1.000e-04, eta: 4:47:13, time: 0.261, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0235, loss_rpn_bbox: 0.0322, loss_cls: 0.1560, acc: 94.2837, loss_bbox: 0.1980, loss_mask: 0.2099, loss: 0.6196 2023-11-15 02:56:04,242 - mmdet - INFO - Epoch [27][6700/7330] lr: 1.000e-04, eta: 4:47:00, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0252, loss_rpn_bbox: 0.0330, loss_cls: 0.1644, acc: 94.0015, loss_bbox: 0.2018, loss_mask: 0.2113, loss: 0.6356 2023-11-15 02:56:17,078 - mmdet - INFO - Epoch [27][6750/7330] lr: 1.000e-04, eta: 4:46:47, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0233, loss_rpn_bbox: 0.0315, loss_cls: 0.1593, acc: 94.2634, loss_bbox: 0.1997, loss_mask: 0.2096, loss: 0.6233 2023-11-15 02:56:29,690 - mmdet - INFO - Epoch [27][6800/7330] lr: 1.000e-04, eta: 4:46:34, time: 0.252, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0316, loss_cls: 0.1579, acc: 94.2344, loss_bbox: 0.2029, loss_mask: 0.2109, loss: 0.6256 2023-11-15 02:56:42,653 - mmdet - INFO - Epoch [27][6850/7330] lr: 1.000e-04, eta: 4:46:21, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0231, loss_rpn_bbox: 0.0318, loss_cls: 0.1571, acc: 94.2021, loss_bbox: 0.2037, loss_mask: 0.2093, loss: 0.6251 2023-11-15 02:56:55,685 - mmdet - INFO - Epoch [27][6900/7330] lr: 1.000e-04, eta: 4:46:08, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0224, loss_rpn_bbox: 0.0328, loss_cls: 0.1574, acc: 94.2444, loss_bbox: 0.1968, loss_mask: 0.2139, loss: 0.6232 2023-11-15 02:57:08,661 - mmdet - INFO - Epoch [27][6950/7330] lr: 1.000e-04, eta: 4:45:55, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0300, loss_cls: 0.1531, acc: 94.3972, loss_bbox: 0.1949, loss_mask: 0.2113, loss: 0.6114 2023-11-15 02:57:21,293 - mmdet - INFO - Epoch [27][7000/7330] lr: 1.000e-04, eta: 4:45:42, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0301, loss_cls: 0.1524, acc: 94.4788, loss_bbox: 0.1975, loss_mask: 0.2086, loss: 0.6074 2023-11-15 02:57:33,915 - mmdet - INFO - Epoch [27][7050/7330] lr: 1.000e-04, eta: 4:45:29, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0304, loss_cls: 0.1591, acc: 94.1707, loss_bbox: 0.2006, loss_mask: 0.2120, loss: 0.6228 2023-11-15 02:57:46,807 - mmdet - INFO - Epoch [27][7100/7330] lr: 1.000e-04, eta: 4:45:16, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0315, loss_cls: 0.1663, acc: 94.0176, loss_bbox: 0.2042, loss_mask: 0.2054, loss: 0.6295 2023-11-15 02:57:59,549 - mmdet - INFO - Epoch [27][7150/7330] lr: 1.000e-04, eta: 4:45:03, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0306, loss_cls: 0.1602, acc: 94.1809, loss_bbox: 0.2016, loss_mask: 0.2102, loss: 0.6240 2023-11-15 02:58:12,284 - mmdet - INFO - Epoch [27][7200/7330] lr: 1.000e-04, eta: 4:44:50, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0218, loss_rpn_bbox: 0.0314, loss_cls: 0.1618, acc: 94.1755, loss_bbox: 0.2031, loss_mask: 0.2120, loss: 0.6300 2023-11-15 02:58:25,119 - mmdet - INFO - Epoch [27][7250/7330] lr: 1.000e-04, eta: 4:44:37, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0234, loss_rpn_bbox: 0.0331, loss_cls: 0.1619, acc: 94.0386, loss_bbox: 0.2083, loss_mask: 0.2143, loss: 0.6411 2023-11-15 02:58:37,839 - mmdet - INFO - Epoch [27][7300/7330] lr: 1.000e-04, eta: 4:44:24, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0230, loss_rpn_bbox: 0.0304, loss_cls: 0.1550, acc: 94.4182, loss_bbox: 0.1878, loss_mask: 0.2068, loss: 0.6029 2023-11-15 02:58:45,933 - mmdet - INFO - Saving checkpoint at 27 epochs 2023-11-15 02:59:29,386 - mmdet - INFO - Evaluating bbox... 2023-11-15 02:59:59,436 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.465 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.682 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.511 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 ] = 0.500 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.605 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 ] = 0.419 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.622 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.732 2023-11-15 02:59:59,439 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.574 | bicycle | 0.379 | car | 0.484 | | motorcycle | 0.488 | airplane | 0.671 | bus | 0.684 | | train | 0.683 | truck | 0.403 | boat | 0.307 | | traffic light | 0.313 | fire hydrant | 0.704 | stop sign | 0.696 | | parking meter | 0.529 | bench | 0.316 | bird | 0.409 | | cat | 0.726 | dog | 0.700 | horse | 0.614 | | sheep | 0.564 | cow | 0.618 | elephant | 0.672 | | bear | 0.736 | zebra | 0.675 | giraffe | 0.695 | | backpack | 0.197 | umbrella | 0.444 | handbag | 0.225 | | tie | 0.393 | suitcase | 0.447 | frisbee | 0.707 | | skis | 0.307 | snowboard | 0.408 | sports ball | 0.463 | | kite | 0.446 | baseball bat | 0.403 | baseball glove | 0.430 | | skateboard | 0.578 | surfboard | 0.430 | tennis racket | 0.542 | | bottle | 0.436 | wine glass | 0.402 | cup | 0.469 | | fork | 0.449 | knife | 0.268 | spoon | 0.271 | | bowl | 0.451 | banana | 0.287 | apple | 0.225 | | sandwich | 0.406 | orange | 0.336 | broccoli | 0.234 | | carrot | 0.225 | hot dog | 0.395 | pizza | 0.535 | | donut | 0.516 | cake | 0.408 | chair | 0.351 | | couch | 0.485 | potted plant | 0.347 | bed | 0.443 | | dining table | 0.314 | toilet | 0.624 | tv | 0.616 | | laptop | 0.658 | mouse | 0.639 | remote | 0.423 | | keyboard | 0.558 | cell phone | 0.405 | microwave | 0.607 | | oven | 0.402 | toaster | 0.508 | sink | 0.431 | | refrigerator | 0.599 | book | 0.192 | clock | 0.509 | | vase | 0.409 | scissors | 0.361 | teddy bear | 0.481 | | hair drier | 0.142 | toothbrush | 0.311 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 02:59:59,439 - mmdet - INFO - Evaluating segm... 2023-11-15 03:00:34,425 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.418 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.651 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.451 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.222 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.448 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.603 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.534 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.363 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.572 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.688 2023-11-15 03:00:34,428 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.499 | bicycle | 0.234 | car | 0.440 | | motorcycle | 0.382 | airplane | 0.524 | bus | 0.680 | | train | 0.674 | truck | 0.394 | boat | 0.278 | | traffic light | 0.305 | fire hydrant | 0.666 | stop sign | 0.680 | | parking meter | 0.539 | bench | 0.232 | bird | 0.333 | | cat | 0.701 | dog | 0.642 | horse | 0.455 | | sheep | 0.498 | cow | 0.532 | elephant | 0.622 | | bear | 0.725 | zebra | 0.572 | giraffe | 0.548 | | backpack | 0.209 | umbrella | 0.493 | handbag | 0.216 | | tie | 0.356 | suitcase | 0.473 | frisbee | 0.663 | | skis | 0.047 | snowboard | 0.282 | sports ball | 0.452 | | kite | 0.314 | baseball bat | 0.283 | baseball glove | 0.453 | | skateboard | 0.365 | surfboard | 0.370 | tennis racket | 0.593 | | bottle | 0.424 | wine glass | 0.359 | cup | 0.471 | | fork | 0.223 | knife | 0.174 | spoon | 0.197 | | bowl | 0.415 | banana | 0.235 | apple | 0.218 | | sandwich | 0.423 | orange | 0.335 | broccoli | 0.221 | | carrot | 0.198 | hot dog | 0.337 | pizza | 0.519 | | donut | 0.523 | cake | 0.423 | chair | 0.248 | | couch | 0.412 | potted plant | 0.283 | bed | 0.365 | | dining table | 0.194 | toilet | 0.590 | tv | 0.648 | | laptop | 0.658 | mouse | 0.644 | remote | 0.377 | | keyboard | 0.540 | cell phone | 0.388 | microwave | 0.636 | | oven | 0.380 | toaster | 0.560 | sink | 0.408 | | refrigerator | 0.613 | book | 0.142 | clock | 0.506 | | vase | 0.396 | scissors | 0.248 | teddy bear | 0.465 | | hair drier | 0.113 | toothbrush | 0.211 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 03:00:34,904 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 03:00:34,905 - mmdet - INFO - Epoch(val) [27][625] bbox_mAP: 0.4649, bbox_mAP_50: 0.6823, bbox_mAP_75: 0.5107, bbox_mAP_s: 0.3038, bbox_mAP_m: 0.4998, bbox_mAP_l: 0.6048, bbox_mAP_copypaste: 0.4649 0.6823 0.5107 0.3038 0.4998 0.6048, segm_mAP: 0.4181, segm_mAP_50: 0.6508, segm_mAP_75: 0.4508, segm_mAP_s: 0.2220, segm_mAP_m: 0.4482, segm_mAP_l: 0.6029, segm_mAP_copypaste: 0.4181 0.6508 0.4508 0.2220 0.4482 0.6029 2023-11-15 03:00:51,483 - mmdet - INFO - Epoch [28][50/7330] lr: 1.000e-05, eta: 4:44:02, time: 0.331, data_time: 0.080, memory: 4734, loss_rpn_cls: 0.0221, loss_rpn_bbox: 0.0307, loss_cls: 0.1503, acc: 94.4150, loss_bbox: 0.1982, loss_mask: 0.2054, loss: 0.6067 2023-11-15 03:01:04,541 - mmdet - INFO - Epoch [28][100/7330] lr: 1.000e-05, eta: 4:43:49, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0315, loss_cls: 0.1507, acc: 94.4167, loss_bbox: 0.1981, loss_mask: 0.2084, loss: 0.6093 2023-11-15 03:01:17,591 - mmdet - INFO - Epoch [28][150/7330] lr: 1.000e-05, eta: 4:43:36, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0281, loss_cls: 0.1449, acc: 94.6616, loss_bbox: 0.1883, loss_mask: 0.2011, loss: 0.5821 2023-11-15 03:01:30,708 - mmdet - INFO - Epoch [28][200/7330] lr: 1.000e-05, eta: 4:43:24, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0320, loss_cls: 0.1528, acc: 94.3074, loss_bbox: 0.2035, loss_mask: 0.2046, loss: 0.6136 2023-11-15 03:01:43,724 - mmdet - INFO - Epoch [28][250/7330] lr: 1.000e-05, eta: 4:43:11, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0295, loss_cls: 0.1419, acc: 94.7949, loss_bbox: 0.1874, loss_mask: 0.1980, loss: 0.5769 2023-11-15 03:01:57,069 - mmdet - INFO - Epoch [28][300/7330] lr: 1.000e-05, eta: 4:42:58, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0292, loss_cls: 0.1482, acc: 94.5686, loss_bbox: 0.1931, loss_mask: 0.2046, loss: 0.5948 2023-11-15 03:02:09,982 - mmdet - INFO - Epoch [28][350/7330] lr: 1.000e-05, eta: 4:42:45, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0265, loss_cls: 0.1356, acc: 94.9287, loss_bbox: 0.1822, loss_mask: 0.1967, loss: 0.5584 2023-11-15 03:02:23,086 - mmdet - INFO - Epoch [28][400/7330] lr: 1.000e-05, eta: 4:42:32, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0309, loss_cls: 0.1490, acc: 94.5686, loss_bbox: 0.1926, loss_mask: 0.2041, loss: 0.5951 2023-11-15 03:02:35,968 - mmdet - INFO - Epoch [28][450/7330] lr: 1.000e-05, eta: 4:42:19, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0313, loss_cls: 0.1482, acc: 94.5273, loss_bbox: 0.1907, loss_mask: 0.2021, loss: 0.5941 2023-11-15 03:02:49,089 - mmdet - INFO - Epoch [28][500/7330] lr: 1.000e-05, eta: 4:42:06, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0300, loss_cls: 0.1441, acc: 94.6270, loss_bbox: 0.1942, loss_mask: 0.2010, loss: 0.5899 2023-11-15 03:03:02,377 - mmdet - INFO - Epoch [28][550/7330] lr: 1.000e-05, eta: 4:41:53, time: 0.266, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0329, loss_cls: 0.1488, acc: 94.4329, loss_bbox: 0.1991, loss_mask: 0.2073, loss: 0.6076 2023-11-15 03:03:15,446 - mmdet - INFO - Epoch [28][600/7330] lr: 1.000e-05, eta: 4:41:41, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0214, loss_rpn_bbox: 0.0321, loss_cls: 0.1516, acc: 94.3203, loss_bbox: 0.1970, loss_mask: 0.2048, loss: 0.6069 2023-11-15 03:03:28,324 - mmdet - INFO - Epoch [28][650/7330] lr: 1.000e-05, eta: 4:41:28, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0278, loss_cls: 0.1394, acc: 94.8503, loss_bbox: 0.1826, loss_mask: 0.2045, loss: 0.5725 2023-11-15 03:03:41,099 - mmdet - INFO - Epoch [28][700/7330] lr: 1.000e-05, eta: 4:41:15, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0290, loss_cls: 0.1434, acc: 94.7258, loss_bbox: 0.1881, loss_mask: 0.2013, loss: 0.5811 2023-11-15 03:03:53,951 - mmdet - INFO - Epoch [28][750/7330] lr: 1.000e-05, eta: 4:41:02, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0270, loss_cls: 0.1362, acc: 94.9233, loss_bbox: 0.1862, loss_mask: 0.2002, loss: 0.5666 2023-11-15 03:04:06,981 - mmdet - INFO - Epoch [28][800/7330] lr: 1.000e-05, eta: 4:40:49, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0313, loss_cls: 0.1380, acc: 94.8386, loss_bbox: 0.1852, loss_mask: 0.2033, loss: 0.5790 2023-11-15 03:04:20,278 - mmdet - INFO - Epoch [28][850/7330] lr: 1.000e-05, eta: 4:40:36, time: 0.266, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0288, loss_cls: 0.1397, acc: 94.8267, loss_bbox: 0.1858, loss_mask: 0.1987, loss: 0.5719 2023-11-15 03:04:33,340 - mmdet - INFO - Epoch [28][900/7330] lr: 1.000e-05, eta: 4:40:23, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0283, loss_cls: 0.1442, acc: 94.5813, loss_bbox: 0.1892, loss_mask: 0.2005, loss: 0.5807 2023-11-15 03:04:46,186 - mmdet - INFO - Epoch [28][950/7330] lr: 1.000e-05, eta: 4:40:10, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0223, loss_rpn_bbox: 0.0300, loss_cls: 0.1432, acc: 94.7891, loss_bbox: 0.1855, loss_mask: 0.1972, loss: 0.5782 2023-11-15 03:04:59,143 - mmdet - INFO - Epoch [28][1000/7330] lr: 1.000e-05, eta: 4:39:57, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0308, loss_cls: 0.1382, acc: 94.8440, loss_bbox: 0.1864, loss_mask: 0.2024, loss: 0.5779 2023-11-15 03:05:11,833 - mmdet - INFO - Epoch [28][1050/7330] lr: 1.000e-05, eta: 4:39:44, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0286, loss_cls: 0.1379, acc: 94.8127, loss_bbox: 0.1850, loss_mask: 0.1966, loss: 0.5660 2023-11-15 03:05:24,933 - mmdet - INFO - Epoch [28][1100/7330] lr: 1.000e-05, eta: 4:39:31, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0215, loss_rpn_bbox: 0.0329, loss_cls: 0.1511, acc: 94.3809, loss_bbox: 0.1998, loss_mask: 0.2068, loss: 0.6122 2023-11-15 03:05:38,096 - mmdet - INFO - Epoch [28][1150/7330] lr: 1.000e-05, eta: 4:39:19, time: 0.263, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0204, loss_rpn_bbox: 0.0298, loss_cls: 0.1473, acc: 94.5027, loss_bbox: 0.1976, loss_mask: 0.2041, loss: 0.5993 2023-11-15 03:05:51,281 - mmdet - INFO - Epoch [28][1200/7330] lr: 1.000e-05, eta: 4:39:06, time: 0.264, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0295, loss_cls: 0.1454, acc: 94.5957, loss_bbox: 0.1903, loss_mask: 0.1988, loss: 0.5829 2023-11-15 03:06:04,349 - mmdet - INFO - Epoch [28][1250/7330] lr: 1.000e-05, eta: 4:38:53, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0296, loss_cls: 0.1460, acc: 94.5164, loss_bbox: 0.1912, loss_mask: 0.2046, loss: 0.5911 2023-11-15 03:06:17,550 - mmdet - INFO - Epoch [28][1300/7330] lr: 1.000e-05, eta: 4:38:40, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0296, loss_cls: 0.1430, acc: 94.6646, loss_bbox: 0.1908, loss_mask: 0.2008, loss: 0.5820 2023-11-15 03:06:30,771 - mmdet - INFO - Epoch [28][1350/7330] lr: 1.000e-05, eta: 4:38:27, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0292, loss_cls: 0.1423, acc: 94.6108, loss_bbox: 0.1909, loss_mask: 0.1983, loss: 0.5801 2023-11-15 03:06:43,444 - mmdet - INFO - Epoch [28][1400/7330] lr: 1.000e-05, eta: 4:38:14, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0281, loss_cls: 0.1410, acc: 94.6638, loss_bbox: 0.1910, loss_mask: 0.2042, loss: 0.5831 2023-11-15 03:06:56,136 - mmdet - INFO - Epoch [28][1450/7330] lr: 1.000e-05, eta: 4:38:01, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0299, loss_cls: 0.1404, acc: 94.8181, loss_bbox: 0.1887, loss_mask: 0.2002, loss: 0.5795 2023-11-15 03:07:09,320 - mmdet - INFO - Epoch [28][1500/7330] lr: 1.000e-05, eta: 4:37:48, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0288, loss_cls: 0.1386, acc: 94.7544, loss_bbox: 0.1890, loss_mask: 0.1979, loss: 0.5739 2023-11-15 03:07:22,067 - mmdet - INFO - Epoch [28][1550/7330] lr: 1.000e-05, eta: 4:37:35, time: 0.255, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0284, loss_cls: 0.1444, acc: 94.5605, loss_bbox: 0.1897, loss_mask: 0.2013, loss: 0.5823 2023-11-15 03:07:35,127 - mmdet - INFO - Epoch [28][1600/7330] lr: 1.000e-05, eta: 4:37:22, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0288, loss_cls: 0.1415, acc: 94.6680, loss_bbox: 0.1919, loss_mask: 0.1991, loss: 0.5801 2023-11-15 03:07:48,006 - mmdet - INFO - Epoch [28][1650/7330] lr: 1.000e-05, eta: 4:37:09, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0287, loss_cls: 0.1433, acc: 94.7000, loss_bbox: 0.1886, loss_mask: 0.1996, loss: 0.5777 2023-11-15 03:08:00,706 - mmdet - INFO - Epoch [28][1700/7330] lr: 1.000e-05, eta: 4:36:56, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0292, loss_cls: 0.1405, acc: 94.7268, loss_bbox: 0.1925, loss_mask: 0.1998, loss: 0.5797 2023-11-15 03:08:13,668 - mmdet - INFO - Epoch [28][1750/7330] lr: 1.000e-05, eta: 4:36:44, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0277, loss_cls: 0.1350, acc: 94.9727, loss_bbox: 0.1824, loss_mask: 0.1973, loss: 0.5602 2023-11-15 03:08:26,745 - mmdet - INFO - Epoch [28][1800/7330] lr: 1.000e-05, eta: 4:36:31, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0281, loss_cls: 0.1428, acc: 94.6555, loss_bbox: 0.1879, loss_mask: 0.1978, loss: 0.5748 2023-11-15 03:08:39,711 - mmdet - INFO - Epoch [28][1850/7330] lr: 1.000e-05, eta: 4:36:18, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0304, loss_cls: 0.1413, acc: 94.8579, loss_bbox: 0.1876, loss_mask: 0.1970, loss: 0.5762 2023-11-15 03:08:52,606 - mmdet - INFO - Epoch [28][1900/7330] lr: 1.000e-05, eta: 4:36:05, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0298, loss_cls: 0.1401, acc: 94.7004, loss_bbox: 0.1945, loss_mask: 0.1988, loss: 0.5835 2023-11-15 03:09:05,759 - mmdet - INFO - Epoch [28][1950/7330] lr: 1.000e-05, eta: 4:35:52, time: 0.263, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0288, loss_cls: 0.1423, acc: 94.7522, loss_bbox: 0.1889, loss_mask: 0.1970, loss: 0.5741 2023-11-15 03:09:18,733 - mmdet - INFO - Epoch [28][2000/7330] lr: 1.000e-05, eta: 4:35:39, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0293, loss_cls: 0.1419, acc: 94.8110, loss_bbox: 0.1852, loss_mask: 0.1965, loss: 0.5715 2023-11-15 03:09:31,985 - mmdet - INFO - Epoch [28][2050/7330] lr: 1.000e-05, eta: 4:35:26, time: 0.265, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0293, loss_cls: 0.1403, acc: 94.8562, loss_bbox: 0.1887, loss_mask: 0.2005, loss: 0.5779 2023-11-15 03:09:44,685 - mmdet - INFO - Epoch [28][2100/7330] lr: 1.000e-05, eta: 4:35:13, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0279, loss_cls: 0.1372, acc: 94.9434, loss_bbox: 0.1862, loss_mask: 0.2008, loss: 0.5700 2023-11-15 03:09:57,619 - mmdet - INFO - Epoch [28][2150/7330] lr: 1.000e-05, eta: 4:35:00, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0271, loss_cls: 0.1378, acc: 94.8994, loss_bbox: 0.1822, loss_mask: 0.1955, loss: 0.5624 2023-11-15 03:10:10,374 - mmdet - INFO - Epoch [28][2200/7330] lr: 1.000e-05, eta: 4:34:47, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0257, loss_cls: 0.1330, acc: 95.0891, loss_bbox: 0.1744, loss_mask: 0.1939, loss: 0.5441 2023-11-15 03:10:23,643 - mmdet - INFO - Epoch [28][2250/7330] lr: 1.000e-05, eta: 4:34:34, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0309, loss_cls: 0.1420, acc: 94.7769, loss_bbox: 0.1883, loss_mask: 0.1968, loss: 0.5780 2023-11-15 03:10:36,472 - mmdet - INFO - Epoch [28][2300/7330] lr: 1.000e-05, eta: 4:34:22, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0301, loss_cls: 0.1396, acc: 94.8853, loss_bbox: 0.1858, loss_mask: 0.1992, loss: 0.5736 2023-11-15 03:10:49,510 - mmdet - INFO - Epoch [28][2350/7330] lr: 1.000e-05, eta: 4:34:09, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0298, loss_cls: 0.1437, acc: 94.5386, loss_bbox: 0.1959, loss_mask: 0.2043, loss: 0.5928 2023-11-15 03:11:02,446 - mmdet - INFO - Epoch [28][2400/7330] lr: 1.000e-05, eta: 4:33:56, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0269, loss_cls: 0.1351, acc: 94.9966, loss_bbox: 0.1816, loss_mask: 0.1934, loss: 0.5566 2023-11-15 03:11:15,359 - mmdet - INFO - Epoch [28][2450/7330] lr: 1.000e-05, eta: 4:33:43, time: 0.258, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0308, loss_cls: 0.1453, acc: 94.6013, loss_bbox: 0.1905, loss_mask: 0.1992, loss: 0.5853 2023-11-15 03:11:28,198 - mmdet - INFO - Epoch [28][2500/7330] lr: 1.000e-05, eta: 4:33:30, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0206, loss_rpn_bbox: 0.0295, loss_cls: 0.1449, acc: 94.5642, loss_bbox: 0.1931, loss_mask: 0.1977, loss: 0.5857 2023-11-15 03:11:41,155 - mmdet - INFO - Epoch [28][2550/7330] lr: 1.000e-05, eta: 4:33:17, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0289, loss_cls: 0.1414, acc: 94.7036, loss_bbox: 0.1941, loss_mask: 0.2027, loss: 0.5860 2023-11-15 03:11:53,959 - mmdet - INFO - Epoch [28][2600/7330] lr: 1.000e-05, eta: 4:33:04, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0305, loss_cls: 0.1455, acc: 94.5471, loss_bbox: 0.1964, loss_mask: 0.2033, loss: 0.5967 2023-11-15 03:12:06,706 - mmdet - INFO - Epoch [28][2650/7330] lr: 1.000e-05, eta: 4:32:51, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0299, loss_cls: 0.1405, acc: 94.7156, loss_bbox: 0.1908, loss_mask: 0.1992, loss: 0.5783 2023-11-15 03:12:19,957 - mmdet - INFO - Epoch [28][2700/7330] lr: 1.000e-05, eta: 4:32:38, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0216, loss_rpn_bbox: 0.0321, loss_cls: 0.1442, acc: 94.5217, loss_bbox: 0.1949, loss_mask: 0.2025, loss: 0.5952 2023-11-15 03:12:33,013 - mmdet - INFO - Epoch [28][2750/7330] lr: 1.000e-05, eta: 4:32:25, time: 0.261, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0296, loss_cls: 0.1435, acc: 94.5994, loss_bbox: 0.1949, loss_mask: 0.2018, loss: 0.5901 2023-11-15 03:12:45,666 - mmdet - INFO - Epoch [28][2800/7330] lr: 1.000e-05, eta: 4:32:12, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0284, loss_cls: 0.1388, acc: 94.7913, loss_bbox: 0.1893, loss_mask: 0.2005, loss: 0.5744 2023-11-15 03:12:58,835 - mmdet - INFO - Epoch [28][2850/7330] lr: 1.000e-05, eta: 4:31:59, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0295, loss_cls: 0.1424, acc: 94.6606, loss_bbox: 0.1911, loss_mask: 0.2017, loss: 0.5830 2023-11-15 03:13:11,658 - mmdet - INFO - Epoch [28][2900/7330] lr: 1.000e-05, eta: 4:31:46, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0266, loss_cls: 0.1318, acc: 95.0217, loss_bbox: 0.1801, loss_mask: 0.2000, loss: 0.5549 2023-11-15 03:13:24,471 - mmdet - INFO - Epoch [28][2950/7330] lr: 1.000e-05, eta: 4:31:33, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0287, loss_cls: 0.1354, acc: 95.0261, loss_bbox: 0.1806, loss_mask: 0.1984, loss: 0.5625 2023-11-15 03:13:37,638 - mmdet - INFO - Epoch [28][3000/7330] lr: 1.000e-05, eta: 4:31:21, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0315, loss_cls: 0.1436, acc: 94.5872, loss_bbox: 0.1921, loss_mask: 0.2042, loss: 0.5914 2023-11-15 03:13:50,471 - mmdet - INFO - Epoch [28][3050/7330] lr: 1.000e-05, eta: 4:31:08, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0310, loss_cls: 0.1437, acc: 94.6399, loss_bbox: 0.1944, loss_mask: 0.2045, loss: 0.5929 2023-11-15 03:14:03,391 - mmdet - INFO - Epoch [28][3100/7330] lr: 1.000e-05, eta: 4:30:55, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0300, loss_cls: 0.1384, acc: 94.8032, loss_bbox: 0.1922, loss_mask: 0.1996, loss: 0.5799 2023-11-15 03:14:16,435 - mmdet - INFO - Epoch [28][3150/7330] lr: 1.000e-05, eta: 4:30:42, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0299, loss_cls: 0.1437, acc: 94.6487, loss_bbox: 0.1910, loss_mask: 0.2009, loss: 0.5837 2023-11-15 03:14:29,552 - mmdet - INFO - Epoch [28][3200/7330] lr: 1.000e-05, eta: 4:30:29, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0277, loss_cls: 0.1387, acc: 94.7690, loss_bbox: 0.1879, loss_mask: 0.1988, loss: 0.5710 2023-11-15 03:14:42,388 - mmdet - INFO - Epoch [28][3250/7330] lr: 1.000e-05, eta: 4:30:16, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0282, loss_cls: 0.1354, acc: 94.8796, loss_bbox: 0.1856, loss_mask: 0.2019, loss: 0.5705 2023-11-15 03:14:55,450 - mmdet - INFO - Epoch [28][3300/7330] lr: 1.000e-05, eta: 4:30:03, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0285, loss_cls: 0.1375, acc: 94.9138, loss_bbox: 0.1876, loss_mask: 0.1982, loss: 0.5691 2023-11-15 03:15:08,027 - mmdet - INFO - Epoch [28][3350/7330] lr: 1.000e-05, eta: 4:29:50, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0262, loss_cls: 0.1288, acc: 95.2610, loss_bbox: 0.1761, loss_mask: 0.1942, loss: 0.5420 2023-11-15 03:15:20,894 - mmdet - INFO - Epoch [28][3400/7330] lr: 1.000e-05, eta: 4:29:37, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0288, loss_cls: 0.1387, acc: 94.8486, loss_bbox: 0.1857, loss_mask: 0.1920, loss: 0.5643 2023-11-15 03:15:33,622 - mmdet - INFO - Epoch [28][3450/7330] lr: 1.000e-05, eta: 4:29:24, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0279, loss_cls: 0.1398, acc: 94.7988, loss_bbox: 0.1892, loss_mask: 0.2011, loss: 0.5766 2023-11-15 03:15:46,598 - mmdet - INFO - Epoch [28][3500/7330] lr: 1.000e-05, eta: 4:29:11, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0298, loss_cls: 0.1408, acc: 94.6116, loss_bbox: 0.1945, loss_mask: 0.2035, loss: 0.5870 2023-11-15 03:15:59,428 - mmdet - INFO - Epoch [28][3550/7330] lr: 1.000e-05, eta: 4:28:58, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0276, loss_cls: 0.1386, acc: 94.8008, loss_bbox: 0.1864, loss_mask: 0.1961, loss: 0.5665 2023-11-15 03:16:12,344 - mmdet - INFO - Epoch [28][3600/7330] lr: 1.000e-05, eta: 4:28:45, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0294, loss_cls: 0.1417, acc: 94.7065, loss_bbox: 0.1906, loss_mask: 0.1986, loss: 0.5787 2023-11-15 03:16:25,000 - mmdet - INFO - Epoch [28][3650/7330] lr: 1.000e-05, eta: 4:28:32, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0296, loss_cls: 0.1423, acc: 94.7439, loss_bbox: 0.1876, loss_mask: 0.1960, loss: 0.5743 2023-11-15 03:16:37,764 - mmdet - INFO - Epoch [28][3700/7330] lr: 1.000e-05, eta: 4:28:19, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0279, loss_cls: 0.1358, acc: 94.9304, loss_bbox: 0.1846, loss_mask: 0.1994, loss: 0.5666 2023-11-15 03:16:50,578 - mmdet - INFO - Epoch [28][3750/7330] lr: 1.000e-05, eta: 4:28:06, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0285, loss_cls: 0.1378, acc: 94.8198, loss_bbox: 0.1861, loss_mask: 0.1988, loss: 0.5699 2023-11-15 03:17:03,265 - mmdet - INFO - Epoch [28][3800/7330] lr: 1.000e-05, eta: 4:27:53, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0303, loss_cls: 0.1433, acc: 94.5867, loss_bbox: 0.1910, loss_mask: 0.1946, loss: 0.5780 2023-11-15 03:17:16,057 - mmdet - INFO - Epoch [28][3850/7330] lr: 1.000e-05, eta: 4:27:40, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0285, loss_cls: 0.1401, acc: 94.8955, loss_bbox: 0.1855, loss_mask: 0.1968, loss: 0.5702 2023-11-15 03:17:28,779 - mmdet - INFO - Epoch [28][3900/7330] lr: 1.000e-05, eta: 4:27:27, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0282, loss_cls: 0.1354, acc: 94.9351, loss_bbox: 0.1910, loss_mask: 0.1990, loss: 0.5718 2023-11-15 03:17:41,821 - mmdet - INFO - Epoch [28][3950/7330] lr: 1.000e-05, eta: 4:27:15, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0285, loss_cls: 0.1350, acc: 94.9573, loss_bbox: 0.1860, loss_mask: 0.1942, loss: 0.5624 2023-11-15 03:17:54,889 - mmdet - INFO - Epoch [28][4000/7330] lr: 1.000e-05, eta: 4:27:02, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0314, loss_cls: 0.1451, acc: 94.5881, loss_bbox: 0.1927, loss_mask: 0.2027, loss: 0.5914 2023-11-15 03:18:07,563 - mmdet - INFO - Epoch [28][4050/7330] lr: 1.000e-05, eta: 4:26:49, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0290, loss_cls: 0.1347, acc: 94.9888, loss_bbox: 0.1772, loss_mask: 0.1926, loss: 0.5512 2023-11-15 03:18:20,260 - mmdet - INFO - Epoch [28][4100/7330] lr: 1.000e-05, eta: 4:26:36, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0268, loss_cls: 0.1276, acc: 95.2805, loss_bbox: 0.1794, loss_mask: 0.1939, loss: 0.5438 2023-11-15 03:18:33,225 - mmdet - INFO - Epoch [28][4150/7330] lr: 1.000e-05, eta: 4:26:23, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0297, loss_cls: 0.1441, acc: 94.6677, loss_bbox: 0.1908, loss_mask: 0.2002, loss: 0.5841 2023-11-15 03:18:45,787 - mmdet - INFO - Epoch [28][4200/7330] lr: 1.000e-05, eta: 4:26:10, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0287, loss_cls: 0.1395, acc: 94.8337, loss_bbox: 0.1892, loss_mask: 0.2014, loss: 0.5754 2023-11-15 03:18:58,833 - mmdet - INFO - Epoch [28][4250/7330] lr: 1.000e-05, eta: 4:25:57, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0280, loss_cls: 0.1368, acc: 94.8965, loss_bbox: 0.1867, loss_mask: 0.1966, loss: 0.5651 2023-11-15 03:19:11,828 - mmdet - INFO - Epoch [28][4300/7330] lr: 1.000e-05, eta: 4:25:44, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0284, loss_cls: 0.1396, acc: 94.7571, loss_bbox: 0.1897, loss_mask: 0.2006, loss: 0.5767 2023-11-15 03:19:24,658 - mmdet - INFO - Epoch [28][4350/7330] lr: 1.000e-05, eta: 4:25:31, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0288, loss_cls: 0.1420, acc: 94.7043, loss_bbox: 0.1926, loss_mask: 0.2007, loss: 0.5821 2023-11-15 03:19:37,919 - mmdet - INFO - Epoch [28][4400/7330] lr: 1.000e-05, eta: 4:25:18, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0306, loss_cls: 0.1463, acc: 94.5083, loss_bbox: 0.1950, loss_mask: 0.1980, loss: 0.5894 2023-11-15 03:19:51,001 - mmdet - INFO - Epoch [28][4450/7330] lr: 1.000e-05, eta: 4:25:05, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0300, loss_cls: 0.1435, acc: 94.5725, loss_bbox: 0.1920, loss_mask: 0.2012, loss: 0.5864 2023-11-15 03:20:03,826 - mmdet - INFO - Epoch [28][4500/7330] lr: 1.000e-05, eta: 4:24:52, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0274, loss_cls: 0.1316, acc: 95.0867, loss_bbox: 0.1762, loss_mask: 0.1961, loss: 0.5484 2023-11-15 03:20:16,913 - mmdet - INFO - Epoch [28][4550/7330] lr: 1.000e-05, eta: 4:24:39, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0289, loss_cls: 0.1426, acc: 94.6396, loss_bbox: 0.1945, loss_mask: 0.2010, loss: 0.5856 2023-11-15 03:20:30,042 - mmdet - INFO - Epoch [28][4600/7330] lr: 1.000e-05, eta: 4:24:27, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0315, loss_cls: 0.1499, acc: 94.3967, loss_bbox: 0.2004, loss_mask: 0.2026, loss: 0.6031 2023-11-15 03:20:43,121 - mmdet - INFO - Epoch [28][4650/7330] lr: 1.000e-05, eta: 4:24:14, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0288, loss_cls: 0.1363, acc: 94.8679, loss_bbox: 0.1882, loss_mask: 0.1997, loss: 0.5709 2023-11-15 03:20:56,182 - mmdet - INFO - Epoch [28][4700/7330] lr: 1.000e-05, eta: 4:24:01, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0304, loss_cls: 0.1429, acc: 94.6418, loss_bbox: 0.1943, loss_mask: 0.2006, loss: 0.5885 2023-11-15 03:21:09,007 - mmdet - INFO - Epoch [28][4750/7330] lr: 1.000e-05, eta: 4:23:48, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0277, loss_cls: 0.1404, acc: 94.7144, loss_bbox: 0.1879, loss_mask: 0.1941, loss: 0.5669 2023-11-15 03:21:21,951 - mmdet - INFO - Epoch [28][4800/7330] lr: 1.000e-05, eta: 4:23:35, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0289, loss_cls: 0.1352, acc: 94.8774, loss_bbox: 0.1847, loss_mask: 0.1968, loss: 0.5628 2023-11-15 03:21:34,794 - mmdet - INFO - Epoch [28][4850/7330] lr: 1.000e-05, eta: 4:23:22, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0303, loss_cls: 0.1410, acc: 94.6211, loss_bbox: 0.1925, loss_mask: 0.2004, loss: 0.5833 2023-11-15 03:21:47,715 - mmdet - INFO - Epoch [28][4900/7330] lr: 1.000e-05, eta: 4:23:09, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0270, loss_cls: 0.1360, acc: 94.9702, loss_bbox: 0.1775, loss_mask: 0.1960, loss: 0.5545 2023-11-15 03:22:00,680 - mmdet - INFO - Epoch [28][4950/7330] lr: 1.000e-05, eta: 4:22:56, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0301, loss_cls: 0.1389, acc: 94.7410, loss_bbox: 0.1877, loss_mask: 0.1964, loss: 0.5704 2023-11-15 03:22:13,603 - mmdet - INFO - Epoch [28][5000/7330] lr: 1.000e-05, eta: 4:22:43, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0272, loss_cls: 0.1370, acc: 94.9114, loss_bbox: 0.1876, loss_mask: 0.1974, loss: 0.5661 2023-11-15 03:22:26,346 - mmdet - INFO - Epoch [28][5050/7330] lr: 1.000e-05, eta: 4:22:30, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0276, loss_cls: 0.1301, acc: 95.1138, loss_bbox: 0.1802, loss_mask: 0.1946, loss: 0.5487 2023-11-15 03:22:39,219 - mmdet - INFO - Epoch [28][5100/7330] lr: 1.000e-05, eta: 4:22:17, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0289, loss_cls: 0.1345, acc: 94.9773, loss_bbox: 0.1796, loss_mask: 0.1952, loss: 0.5564 2023-11-15 03:22:52,183 - mmdet - INFO - Epoch [28][5150/7330] lr: 1.000e-05, eta: 4:22:04, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0208, loss_rpn_bbox: 0.0312, loss_cls: 0.1480, acc: 94.4624, loss_bbox: 0.1992, loss_mask: 0.2024, loss: 0.6017 2023-11-15 03:23:05,111 - mmdet - INFO - Epoch [28][5200/7330] lr: 1.000e-05, eta: 4:21:51, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0311, loss_cls: 0.1404, acc: 94.7219, loss_bbox: 0.1903, loss_mask: 0.2028, loss: 0.5848 2023-11-15 03:23:18,012 - mmdet - INFO - Epoch [28][5250/7330] lr: 1.000e-05, eta: 4:21:38, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0303, loss_cls: 0.1421, acc: 94.5989, loss_bbox: 0.1922, loss_mask: 0.1990, loss: 0.5817 2023-11-15 03:23:31,004 - mmdet - INFO - Epoch [28][5300/7330] lr: 1.000e-05, eta: 4:21:26, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0302, loss_cls: 0.1392, acc: 94.7422, loss_bbox: 0.1881, loss_mask: 0.1987, loss: 0.5746 2023-11-15 03:23:44,107 - mmdet - INFO - Epoch [28][5350/7330] lr: 1.000e-05, eta: 4:21:13, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0279, loss_cls: 0.1367, acc: 94.9509, loss_bbox: 0.1843, loss_mask: 0.1998, loss: 0.5661 2023-11-15 03:23:56,949 - mmdet - INFO - Epoch [28][5400/7330] lr: 1.000e-05, eta: 4:21:00, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0289, loss_cls: 0.1385, acc: 94.7700, loss_bbox: 0.1874, loss_mask: 0.2015, loss: 0.5729 2023-11-15 03:24:09,976 - mmdet - INFO - Epoch [28][5450/7330] lr: 1.000e-05, eta: 4:20:47, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0290, loss_cls: 0.1419, acc: 94.7100, loss_bbox: 0.1927, loss_mask: 0.1978, loss: 0.5780 2023-11-15 03:24:22,841 - mmdet - INFO - Epoch [28][5500/7330] lr: 1.000e-05, eta: 4:20:34, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0299, loss_cls: 0.1468, acc: 94.4683, loss_bbox: 0.1995, loss_mask: 0.2073, loss: 0.6038 2023-11-15 03:24:35,715 - mmdet - INFO - Epoch [28][5550/7330] lr: 1.000e-05, eta: 4:20:21, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0273, loss_cls: 0.1358, acc: 94.9824, loss_bbox: 0.1819, loss_mask: 0.1964, loss: 0.5599 2023-11-15 03:24:48,672 - mmdet - INFO - Epoch [28][5600/7330] lr: 1.000e-05, eta: 4:20:08, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0217, loss_rpn_bbox: 0.0315, loss_cls: 0.1425, acc: 94.7048, loss_bbox: 0.1894, loss_mask: 0.1982, loss: 0.5834 2023-11-15 03:25:01,659 - mmdet - INFO - Epoch [28][5650/7330] lr: 1.000e-05, eta: 4:19:55, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0297, loss_cls: 0.1399, acc: 94.8464, loss_bbox: 0.1838, loss_mask: 0.1982, loss: 0.5697 2023-11-15 03:25:14,448 - mmdet - INFO - Epoch [28][5700/7330] lr: 1.000e-05, eta: 4:19:42, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0299, loss_cls: 0.1428, acc: 94.7573, loss_bbox: 0.1898, loss_mask: 0.2014, loss: 0.5819 2023-11-15 03:25:27,129 - mmdet - INFO - Epoch [28][5750/7330] lr: 1.000e-05, eta: 4:19:29, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0291, loss_cls: 0.1393, acc: 94.7981, loss_bbox: 0.1874, loss_mask: 0.1940, loss: 0.5691 2023-11-15 03:25:40,227 - mmdet - INFO - Epoch [28][5800/7330] lr: 1.000e-05, eta: 4:19:16, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0229, loss_rpn_bbox: 0.0318, loss_cls: 0.1503, acc: 94.3110, loss_bbox: 0.2017, loss_mask: 0.2082, loss: 0.6148 2023-11-15 03:25:52,757 - mmdet - INFO - Epoch [28][5850/7330] lr: 1.000e-05, eta: 4:19:03, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0271, loss_cls: 0.1378, acc: 94.8108, loss_bbox: 0.1851, loss_mask: 0.2006, loss: 0.5676 2023-11-15 03:26:05,656 - mmdet - INFO - Epoch [28][5900/7330] lr: 1.000e-05, eta: 4:18:50, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0303, loss_cls: 0.1412, acc: 94.7302, loss_bbox: 0.1890, loss_mask: 0.1966, loss: 0.5760 2023-11-15 03:26:18,477 - mmdet - INFO - Epoch [28][5950/7330] lr: 1.000e-05, eta: 4:18:37, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0278, loss_cls: 0.1415, acc: 94.7263, loss_bbox: 0.1891, loss_mask: 0.1995, loss: 0.5771 2023-11-15 03:26:31,111 - mmdet - INFO - Epoch [28][6000/7330] lr: 1.000e-05, eta: 4:18:24, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0270, loss_cls: 0.1315, acc: 95.0750, loss_bbox: 0.1784, loss_mask: 0.1907, loss: 0.5439 2023-11-15 03:26:43,805 - mmdet - INFO - Epoch [28][6050/7330] lr: 1.000e-05, eta: 4:18:11, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0276, loss_cls: 0.1364, acc: 94.8464, loss_bbox: 0.1828, loss_mask: 0.1950, loss: 0.5592 2023-11-15 03:26:56,471 - mmdet - INFO - Epoch [28][6100/7330] lr: 1.000e-05, eta: 4:17:58, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0298, loss_cls: 0.1375, acc: 94.8296, loss_bbox: 0.1854, loss_mask: 0.1981, loss: 0.5681 2023-11-15 03:27:09,500 - mmdet - INFO - Epoch [28][6150/7330] lr: 1.000e-05, eta: 4:17:45, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0200, loss_rpn_bbox: 0.0310, loss_cls: 0.1473, acc: 94.4951, loss_bbox: 0.1972, loss_mask: 0.1968, loss: 0.5923 2023-11-15 03:27:22,098 - mmdet - INFO - Epoch [28][6200/7330] lr: 1.000e-05, eta: 4:17:32, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0249, loss_cls: 0.1292, acc: 95.1357, loss_bbox: 0.1788, loss_mask: 0.1897, loss: 0.5371 2023-11-15 03:27:34,989 - mmdet - INFO - Epoch [28][6250/7330] lr: 1.000e-05, eta: 4:17:19, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0302, loss_cls: 0.1392, acc: 94.7722, loss_bbox: 0.1904, loss_mask: 0.1988, loss: 0.5769 2023-11-15 03:27:47,851 - mmdet - INFO - Epoch [28][6300/7330] lr: 1.000e-05, eta: 4:17:06, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0275, loss_cls: 0.1382, acc: 94.7913, loss_bbox: 0.1832, loss_mask: 0.1985, loss: 0.5665 2023-11-15 03:28:00,583 - mmdet - INFO - Epoch [28][6350/7330] lr: 1.000e-05, eta: 4:16:53, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0295, loss_cls: 0.1336, acc: 94.9465, loss_bbox: 0.1817, loss_mask: 0.1959, loss: 0.5571 2023-11-15 03:28:13,467 - mmdet - INFO - Epoch [28][6400/7330] lr: 1.000e-05, eta: 4:16:41, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0300, loss_cls: 0.1378, acc: 94.8040, loss_bbox: 0.1908, loss_mask: 0.1995, loss: 0.5770 2023-11-15 03:28:26,492 - mmdet - INFO - Epoch [28][6450/7330] lr: 1.000e-05, eta: 4:16:28, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0284, loss_cls: 0.1384, acc: 94.7510, loss_bbox: 0.1885, loss_mask: 0.1927, loss: 0.5656 2023-11-15 03:28:39,296 - mmdet - INFO - Epoch [28][6500/7330] lr: 1.000e-05, eta: 4:16:15, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0294, loss_cls: 0.1444, acc: 94.6741, loss_bbox: 0.1947, loss_mask: 0.2023, loss: 0.5900 2023-11-15 03:28:52,382 - mmdet - INFO - Epoch [28][6550/7330] lr: 1.000e-05, eta: 4:16:02, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0296, loss_cls: 0.1352, acc: 94.8940, loss_bbox: 0.1820, loss_mask: 0.1935, loss: 0.5580 2023-11-15 03:29:05,335 - mmdet - INFO - Epoch [28][6600/7330] lr: 1.000e-05, eta: 4:15:49, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0289, loss_cls: 0.1381, acc: 94.8845, loss_bbox: 0.1856, loss_mask: 0.1960, loss: 0.5669 2023-11-15 03:29:18,328 - mmdet - INFO - Epoch [28][6650/7330] lr: 1.000e-05, eta: 4:15:36, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0279, loss_cls: 0.1329, acc: 95.0503, loss_bbox: 0.1792, loss_mask: 0.1978, loss: 0.5568 2023-11-15 03:29:31,512 - mmdet - INFO - Epoch [28][6700/7330] lr: 1.000e-05, eta: 4:15:23, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0311, loss_cls: 0.1438, acc: 94.6367, loss_bbox: 0.1970, loss_mask: 0.2010, loss: 0.5914 2023-11-15 03:29:44,476 - mmdet - INFO - Epoch [28][6750/7330] lr: 1.000e-05, eta: 4:15:10, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0199, loss_rpn_bbox: 0.0294, loss_cls: 0.1361, acc: 94.8640, loss_bbox: 0.1857, loss_mask: 0.1984, loss: 0.5696 2023-11-15 03:29:56,952 - mmdet - INFO - Epoch [28][6800/7330] lr: 1.000e-05, eta: 4:14:57, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0276, loss_cls: 0.1343, acc: 95.0420, loss_bbox: 0.1819, loss_mask: 0.1978, loss: 0.5599 2023-11-15 03:30:10,056 - mmdet - INFO - Epoch [28][6850/7330] lr: 1.000e-05, eta: 4:14:44, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0287, loss_cls: 0.1387, acc: 94.8176, loss_bbox: 0.1854, loss_mask: 0.1971, loss: 0.5677 2023-11-15 03:30:22,973 - mmdet - INFO - Epoch [28][6900/7330] lr: 1.000e-05, eta: 4:14:31, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0271, loss_cls: 0.1287, acc: 95.1726, loss_bbox: 0.1787, loss_mask: 0.1927, loss: 0.5437 2023-11-15 03:30:35,895 - mmdet - INFO - Epoch [28][6950/7330] lr: 1.000e-05, eta: 4:14:18, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0262, loss_cls: 0.1327, acc: 95.0625, loss_bbox: 0.1787, loss_mask: 0.1946, loss: 0.5486 2023-11-15 03:30:48,740 - mmdet - INFO - Epoch [28][7000/7330] lr: 1.000e-05, eta: 4:14:05, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0289, loss_cls: 0.1374, acc: 94.8401, loss_bbox: 0.1917, loss_mask: 0.1979, loss: 0.5749 2023-11-15 03:31:01,675 - mmdet - INFO - Epoch [28][7050/7330] lr: 1.000e-05, eta: 4:13:53, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0314, loss_cls: 0.1394, acc: 94.7930, loss_bbox: 0.1935, loss_mask: 0.2017, loss: 0.5851 2023-11-15 03:31:14,687 - mmdet - INFO - Epoch [28][7100/7330] lr: 1.000e-05, eta: 4:13:40, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0283, loss_cls: 0.1346, acc: 95.0190, loss_bbox: 0.1822, loss_mask: 0.1938, loss: 0.5559 2023-11-15 03:31:27,692 - mmdet - INFO - Epoch [28][7150/7330] lr: 1.000e-05, eta: 4:13:27, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0284, loss_cls: 0.1400, acc: 94.7559, loss_bbox: 0.1908, loss_mask: 0.1966, loss: 0.5739 2023-11-15 03:31:40,424 - mmdet - INFO - Epoch [28][7200/7330] lr: 1.000e-05, eta: 4:13:14, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0250, loss_cls: 0.1243, acc: 95.3386, loss_bbox: 0.1688, loss_mask: 0.1936, loss: 0.5276 2023-11-15 03:31:53,165 - mmdet - INFO - Epoch [28][7250/7330] lr: 1.000e-05, eta: 4:13:01, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0280, loss_cls: 0.1366, acc: 94.8845, loss_bbox: 0.1859, loss_mask: 0.1961, loss: 0.5644 2023-11-15 03:32:06,026 - mmdet - INFO - Epoch [28][7300/7330] lr: 1.000e-05, eta: 4:12:48, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0289, loss_cls: 0.1408, acc: 94.7458, loss_bbox: 0.1887, loss_mask: 0.1970, loss: 0.5737 2023-11-15 03:32:14,341 - mmdet - INFO - Saving checkpoint at 28 epochs 2023-11-15 03:32:53,782 - mmdet - INFO - Evaluating bbox... 2023-11-15 03:33:23,366 - 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 ] = 0.705 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.537 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 ] = 0.528 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.635 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.607 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 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.755 2023-11-15 03:33:23,369 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.593 | bicycle | 0.403 | car | 0.497 | | motorcycle | 0.510 | airplane | 0.711 | bus | 0.700 | | train | 0.706 | truck | 0.433 | boat | 0.334 | | traffic light | 0.317 | fire hydrant | 0.741 | stop sign | 0.716 | | parking meter | 0.524 | bench | 0.313 | bird | 0.431 | | cat | 0.735 | dog | 0.721 | horse | 0.654 | | sheep | 0.604 | cow | 0.642 | elephant | 0.705 | | bear | 0.779 | zebra | 0.711 | giraffe | 0.717 | | backpack | 0.226 | umbrella | 0.467 | handbag | 0.245 | | tie | 0.416 | suitcase | 0.499 | frisbee | 0.705 | | skis | 0.319 | snowboard | 0.439 | sports ball | 0.478 | | kite | 0.464 | baseball bat | 0.428 | baseball glove | 0.462 | | skateboard | 0.596 | surfboard | 0.459 | tennis racket | 0.576 | | bottle | 0.463 | wine glass | 0.420 | cup | 0.501 | | fork | 0.490 | knife | 0.305 | spoon | 0.312 | | bowl | 0.471 | banana | 0.312 | apple | 0.265 | | sandwich | 0.431 | orange | 0.353 | broccoli | 0.255 | | carrot | 0.250 | hot dog | 0.439 | pizza | 0.562 | | donut | 0.561 | cake | 0.440 | chair | 0.373 | | couch | 0.495 | potted plant | 0.352 | bed | 0.486 | | dining table | 0.318 | toilet | 0.665 | tv | 0.637 | | laptop | 0.694 | mouse | 0.657 | remote | 0.453 | | keyboard | 0.561 | cell phone | 0.447 | microwave | 0.664 | | oven | 0.419 | toaster | 0.513 | sink | 0.464 | | refrigerator | 0.661 | book | 0.210 | clock | 0.520 | | vase | 0.427 | scissors | 0.416 | teddy bear | 0.543 | | hair drier | 0.147 | toothbrush | 0.345 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 03:33:23,369 - mmdet - INFO - Evaluating segm... 2023-11-15 03:33:56,788 - 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 ] = 0.676 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.468 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 ] = 0.467 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 ] = 0.547 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 ] = 0.383 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.704 2023-11-15 03:33:56,791 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.514 | bicycle | 0.244 | car | 0.457 | | motorcycle | 0.403 | airplane | 0.552 | bus | 0.689 | | train | 0.684 | truck | 0.421 | boat | 0.304 | | traffic light | 0.303 | fire hydrant | 0.694 | stop sign | 0.693 | | parking meter | 0.533 | bench | 0.235 | bird | 0.351 | | cat | 0.709 | dog | 0.667 | horse | 0.489 | | sheep | 0.531 | cow | 0.548 | elephant | 0.639 | | bear | 0.764 | zebra | 0.601 | giraffe | 0.567 | | backpack | 0.233 | umbrella | 0.511 | handbag | 0.228 | | tie | 0.378 | suitcase | 0.511 | frisbee | 0.651 | | skis | 0.062 | snowboard | 0.273 | sports ball | 0.461 | | kite | 0.326 | baseball bat | 0.322 | baseball glove | 0.472 | | skateboard | 0.381 | surfboard | 0.388 | tennis racket | 0.603 | | bottle | 0.438 | wine glass | 0.383 | cup | 0.497 | | fork | 0.243 | knife | 0.199 | spoon | 0.220 | | bowl | 0.434 | banana | 0.251 | apple | 0.255 | | sandwich | 0.457 | orange | 0.352 | broccoli | 0.235 | | carrot | 0.215 | hot dog | 0.343 | pizza | 0.543 | | donut | 0.559 | cake | 0.451 | chair | 0.264 | | couch | 0.410 | potted plant | 0.295 | bed | 0.393 | | dining table | 0.189 | toilet | 0.631 | tv | 0.663 | | laptop | 0.685 | mouse | 0.649 | remote | 0.393 | | keyboard | 0.544 | cell phone | 0.417 | microwave | 0.667 | | oven | 0.386 | toaster | 0.543 | sink | 0.430 | | refrigerator | 0.656 | book | 0.156 | clock | 0.514 | | vase | 0.410 | scissors | 0.314 | teddy bear | 0.507 | | hair drier | 0.132 | toothbrush | 0.250 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 03:33:57,278 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_26.pth was removed 2023-11-15 03:33:58,873 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_28.pth. 2023-11-15 03:33:58,873 - mmdet - INFO - Best bbox_mAP is 0.4909 at 28 epoch. 2023-11-15 03:33:58,873 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 03:33:58,873 - mmdet - INFO - Epoch(val) [28][625] bbox_mAP: 0.4909, bbox_mAP_50: 0.7055, bbox_mAP_75: 0.5365, bbox_mAP_s: 0.3327, bbox_mAP_m: 0.5277, bbox_mAP_l: 0.6349, bbox_mAP_copypaste: 0.4909 0.7055 0.5365 0.3327 0.5277 0.6349, segm_mAP: 0.4371, segm_mAP_50: 0.6759, segm_mAP_75: 0.4680, segm_mAP_s: 0.2580, segm_mAP_m: 0.4669, segm_mAP_l: 0.6197, segm_mAP_copypaste: 0.4371 0.6759 0.4680 0.2580 0.4669 0.6197 2023-11-15 03:34:15,274 - mmdet - INFO - Epoch [29][50/7330] lr: 1.000e-05, eta: 4:12:26, time: 0.328, data_time: 0.076, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0262, loss_cls: 0.1314, acc: 95.1326, loss_bbox: 0.1811, loss_mask: 0.1902, loss: 0.5454 2023-11-15 03:34:28,602 - mmdet - INFO - Epoch [29][100/7330] lr: 1.000e-05, eta: 4:12:13, time: 0.266, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0270, loss_cls: 0.1360, acc: 94.8989, loss_bbox: 0.1876, loss_mask: 0.1975, loss: 0.5648 2023-11-15 03:34:41,655 - mmdet - INFO - Epoch [29][150/7330] lr: 1.000e-05, eta: 4:12:00, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0285, loss_cls: 0.1325, acc: 95.0457, loss_bbox: 0.1799, loss_mask: 0.1915, loss: 0.5491 2023-11-15 03:34:54,990 - mmdet - INFO - Epoch [29][200/7330] lr: 1.000e-05, eta: 4:11:47, time: 0.267, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0284, loss_cls: 0.1354, acc: 94.9204, loss_bbox: 0.1850, loss_mask: 0.1957, loss: 0.5620 2023-11-15 03:35:08,404 - mmdet - INFO - Epoch [29][250/7330] lr: 1.000e-05, eta: 4:11:35, time: 0.268, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0288, loss_cls: 0.1394, acc: 94.8064, loss_bbox: 0.1883, loss_mask: 0.1988, loss: 0.5732 2023-11-15 03:35:21,454 - mmdet - INFO - Epoch [29][300/7330] lr: 1.000e-05, eta: 4:11:22, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0286, loss_cls: 0.1385, acc: 94.7241, loss_bbox: 0.1922, loss_mask: 0.1959, loss: 0.5728 2023-11-15 03:35:34,815 - mmdet - INFO - Epoch [29][350/7330] lr: 1.000e-05, eta: 4:11:09, time: 0.267, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0297, loss_cls: 0.1382, acc: 94.7637, loss_bbox: 0.1863, loss_mask: 0.2015, loss: 0.5742 2023-11-15 03:35:47,488 - mmdet - INFO - Epoch [29][400/7330] lr: 1.000e-05, eta: 4:10:56, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0270, loss_cls: 0.1351, acc: 94.9739, loss_bbox: 0.1849, loss_mask: 0.1950, loss: 0.5599 2023-11-15 03:36:00,359 - mmdet - INFO - Epoch [29][450/7330] lr: 1.000e-05, eta: 4:10:43, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0277, loss_cls: 0.1344, acc: 94.9792, loss_bbox: 0.1829, loss_mask: 0.1923, loss: 0.5544 2023-11-15 03:36:13,495 - mmdet - INFO - Epoch [29][500/7330] lr: 1.000e-05, eta: 4:10:30, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0213, loss_rpn_bbox: 0.0317, loss_cls: 0.1441, acc: 94.5955, loss_bbox: 0.1994, loss_mask: 0.2008, loss: 0.5974 2023-11-15 03:36:27,040 - mmdet - INFO - Epoch [29][550/7330] lr: 1.000e-05, eta: 4:10:17, time: 0.271, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0284, loss_cls: 0.1414, acc: 94.7056, loss_bbox: 0.1916, loss_mask: 0.2004, loss: 0.5801 2023-11-15 03:36:40,212 - mmdet - INFO - Epoch [29][600/7330] lr: 1.000e-05, eta: 4:10:05, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0302, loss_cls: 0.1398, acc: 94.6953, loss_bbox: 0.1907, loss_mask: 0.1958, loss: 0.5737 2023-11-15 03:36:52,961 - mmdet - INFO - Epoch [29][650/7330] lr: 1.000e-05, eta: 4:09:52, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0201, loss_rpn_bbox: 0.0277, loss_cls: 0.1307, acc: 95.0481, loss_bbox: 0.1805, loss_mask: 0.1939, loss: 0.5530 2023-11-15 03:37:05,875 - mmdet - INFO - Epoch [29][700/7330] lr: 1.000e-05, eta: 4:09:39, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0291, loss_cls: 0.1437, acc: 94.6079, loss_bbox: 0.1918, loss_mask: 0.1997, loss: 0.5836 2023-11-15 03:37:18,854 - mmdet - INFO - Epoch [29][750/7330] lr: 1.000e-05, eta: 4:09:26, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0307, loss_cls: 0.1477, acc: 94.4138, loss_bbox: 0.1972, loss_mask: 0.1995, loss: 0.5933 2023-11-15 03:37:31,933 - mmdet - INFO - Epoch [29][800/7330] lr: 1.000e-05, eta: 4:09:13, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0291, loss_cls: 0.1379, acc: 94.7600, loss_bbox: 0.1886, loss_mask: 0.1936, loss: 0.5657 2023-11-15 03:37:45,139 - mmdet - INFO - Epoch [29][850/7330] lr: 1.000e-05, eta: 4:09:00, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0293, loss_cls: 0.1326, acc: 94.9990, loss_bbox: 0.1796, loss_mask: 0.1960, loss: 0.5561 2023-11-15 03:37:58,080 - mmdet - INFO - Epoch [29][900/7330] lr: 1.000e-05, eta: 4:08:47, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0288, loss_cls: 0.1326, acc: 94.9790, loss_bbox: 0.1817, loss_mask: 0.1986, loss: 0.5600 2023-11-15 03:38:10,866 - mmdet - INFO - Epoch [29][950/7330] lr: 1.000e-05, eta: 4:08:34, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0299, loss_cls: 0.1370, acc: 94.8020, loss_bbox: 0.1886, loss_mask: 0.1946, loss: 0.5673 2023-11-15 03:38:23,802 - mmdet - INFO - Epoch [29][1000/7330] lr: 1.000e-05, eta: 4:08:21, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0298, loss_cls: 0.1317, acc: 95.0046, loss_bbox: 0.1822, loss_mask: 0.1939, loss: 0.5556 2023-11-15 03:38:36,566 - mmdet - INFO - Epoch [29][1050/7330] lr: 1.000e-05, eta: 4:08:08, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0269, loss_cls: 0.1308, acc: 95.0891, loss_bbox: 0.1799, loss_mask: 0.1994, loss: 0.5544 2023-11-15 03:38:49,730 - mmdet - INFO - Epoch [29][1100/7330] lr: 1.000e-05, eta: 4:07:55, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0304, loss_cls: 0.1359, acc: 94.7563, loss_bbox: 0.1899, loss_mask: 0.2004, loss: 0.5737 2023-11-15 03:39:02,956 - mmdet - INFO - Epoch [29][1150/7330] lr: 1.000e-05, eta: 4:07:42, time: 0.265, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0274, loss_cls: 0.1366, acc: 94.8669, loss_bbox: 0.1839, loss_mask: 0.1946, loss: 0.5613 2023-11-15 03:39:15,801 - mmdet - INFO - Epoch [29][1200/7330] lr: 1.000e-05, eta: 4:07:30, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0275, loss_cls: 0.1283, acc: 95.2358, loss_bbox: 0.1738, loss_mask: 0.1912, loss: 0.5374 2023-11-15 03:39:28,879 - mmdet - INFO - Epoch [29][1250/7330] lr: 1.000e-05, eta: 4:07:17, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0306, loss_cls: 0.1400, acc: 94.7561, loss_bbox: 0.1905, loss_mask: 0.1997, loss: 0.5792 2023-11-15 03:39:41,751 - mmdet - INFO - Epoch [29][1300/7330] lr: 1.000e-05, eta: 4:07:04, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0275, loss_cls: 0.1354, acc: 94.8379, loss_bbox: 0.1861, loss_mask: 0.1953, loss: 0.5622 2023-11-15 03:39:54,727 - mmdet - INFO - Epoch [29][1350/7330] lr: 1.000e-05, eta: 4:06:51, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0295, loss_cls: 0.1367, acc: 94.8713, loss_bbox: 0.1862, loss_mask: 0.1954, loss: 0.5664 2023-11-15 03:40:07,684 - mmdet - INFO - Epoch [29][1400/7330] lr: 1.000e-05, eta: 4:06:38, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0290, loss_cls: 0.1392, acc: 94.7356, loss_bbox: 0.1880, loss_mask: 0.1969, loss: 0.5713 2023-11-15 03:40:20,694 - mmdet - INFO - Epoch [29][1450/7330] lr: 1.000e-05, eta: 4:06:25, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0296, loss_cls: 0.1320, acc: 95.0103, loss_bbox: 0.1828, loss_mask: 0.1943, loss: 0.5584 2023-11-15 03:40:33,942 - mmdet - INFO - Epoch [29][1500/7330] lr: 1.000e-05, eta: 4:06:12, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0284, loss_cls: 0.1295, acc: 95.1460, loss_bbox: 0.1742, loss_mask: 0.1914, loss: 0.5402 2023-11-15 03:40:46,727 - mmdet - INFO - Epoch [29][1550/7330] lr: 1.000e-05, eta: 4:05:59, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0285, loss_cls: 0.1338, acc: 95.0688, loss_bbox: 0.1796, loss_mask: 0.1907, loss: 0.5509 2023-11-15 03:40:59,792 - mmdet - INFO - Epoch [29][1600/7330] lr: 1.000e-05, eta: 4:05:46, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0315, loss_cls: 0.1419, acc: 94.5886, loss_bbox: 0.1952, loss_mask: 0.2021, loss: 0.5903 2023-11-15 03:41:12,662 - mmdet - INFO - Epoch [29][1650/7330] lr: 1.000e-05, eta: 4:05:33, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0285, loss_cls: 0.1339, acc: 94.8999, loss_bbox: 0.1886, loss_mask: 0.1964, loss: 0.5645 2023-11-15 03:41:25,388 - mmdet - INFO - Epoch [29][1700/7330] lr: 1.000e-05, eta: 4:05:20, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0285, loss_cls: 0.1383, acc: 94.7847, loss_bbox: 0.1909, loss_mask: 0.2016, loss: 0.5781 2023-11-15 03:41:38,396 - mmdet - INFO - Epoch [29][1750/7330] lr: 1.000e-05, eta: 4:05:07, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0295, loss_cls: 0.1371, acc: 94.9058, loss_bbox: 0.1840, loss_mask: 0.1982, loss: 0.5668 2023-11-15 03:41:51,230 - mmdet - INFO - Epoch [29][1800/7330] lr: 1.000e-05, eta: 4:04:54, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0289, loss_cls: 0.1370, acc: 94.9131, loss_bbox: 0.1833, loss_mask: 0.1943, loss: 0.5614 2023-11-15 03:42:04,043 - mmdet - INFO - Epoch [29][1850/7330] lr: 1.000e-05, eta: 4:04:42, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0281, loss_cls: 0.1381, acc: 94.7810, loss_bbox: 0.1872, loss_mask: 0.1989, loss: 0.5715 2023-11-15 03:42:16,665 - mmdet - INFO - Epoch [29][1900/7330] lr: 1.000e-05, eta: 4:04:29, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0260, loss_cls: 0.1331, acc: 95.0010, loss_bbox: 0.1850, loss_mask: 0.1957, loss: 0.5561 2023-11-15 03:42:29,807 - mmdet - INFO - Epoch [29][1950/7330] lr: 1.000e-05, eta: 4:04:16, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0287, loss_cls: 0.1316, acc: 95.0093, loss_bbox: 0.1826, loss_mask: 0.1970, loss: 0.5565 2023-11-15 03:42:42,999 - mmdet - INFO - Epoch [29][2000/7330] lr: 1.000e-05, eta: 4:04:03, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0299, loss_cls: 0.1384, acc: 94.7952, loss_bbox: 0.1878, loss_mask: 0.1970, loss: 0.5716 2023-11-15 03:42:56,188 - mmdet - INFO - Epoch [29][2050/7330] lr: 1.000e-05, eta: 4:03:50, time: 0.264, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0288, loss_cls: 0.1431, acc: 94.6187, loss_bbox: 0.1960, loss_mask: 0.1994, loss: 0.5853 2023-11-15 03:43:08,977 - mmdet - INFO - Epoch [29][2100/7330] lr: 1.000e-05, eta: 4:03:37, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0275, loss_cls: 0.1344, acc: 94.9185, loss_bbox: 0.1834, loss_mask: 0.1948, loss: 0.5568 2023-11-15 03:43:21,950 - mmdet - INFO - Epoch [29][2150/7330] lr: 1.000e-05, eta: 4:03:24, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0285, loss_cls: 0.1352, acc: 95.0203, loss_bbox: 0.1850, loss_mask: 0.1934, loss: 0.5601 2023-11-15 03:43:34,715 - mmdet - INFO - Epoch [29][2200/7330] lr: 1.000e-05, eta: 4:03:11, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0263, loss_cls: 0.1300, acc: 95.0952, loss_bbox: 0.1775, loss_mask: 0.1914, loss: 0.5418 2023-11-15 03:43:47,688 - mmdet - INFO - Epoch [29][2250/7330] lr: 1.000e-05, eta: 4:02:58, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0290, loss_cls: 0.1368, acc: 94.8247, loss_bbox: 0.1916, loss_mask: 0.1995, loss: 0.5723 2023-11-15 03:44:00,416 - mmdet - INFO - Epoch [29][2300/7330] lr: 1.000e-05, eta: 4:02:45, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0286, loss_cls: 0.1362, acc: 94.8967, loss_bbox: 0.1831, loss_mask: 0.1973, loss: 0.5634 2023-11-15 03:44:13,075 - mmdet - INFO - Epoch [29][2350/7330] lr: 1.000e-05, eta: 4:02:32, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0275, loss_cls: 0.1370, acc: 94.8423, loss_bbox: 0.1862, loss_mask: 0.1935, loss: 0.5618 2023-11-15 03:44:25,854 - mmdet - INFO - Epoch [29][2400/7330] lr: 1.000e-05, eta: 4:02:19, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0283, loss_cls: 0.1383, acc: 94.8669, loss_bbox: 0.1844, loss_mask: 0.1988, loss: 0.5668 2023-11-15 03:44:38,729 - mmdet - INFO - Epoch [29][2450/7330] lr: 1.000e-05, eta: 4:02:06, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0298, loss_cls: 0.1460, acc: 94.4958, loss_bbox: 0.1996, loss_mask: 0.1997, loss: 0.5947 2023-11-15 03:44:51,553 - mmdet - INFO - Epoch [29][2500/7330] lr: 1.000e-05, eta: 4:01:53, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0300, loss_cls: 0.1350, acc: 94.9155, loss_bbox: 0.1866, loss_mask: 0.1971, loss: 0.5652 2023-11-15 03:45:04,177 - mmdet - INFO - Epoch [29][2550/7330] lr: 1.000e-05, eta: 4:01:40, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0273, loss_cls: 0.1353, acc: 94.9973, loss_bbox: 0.1794, loss_mask: 0.1958, loss: 0.5560 2023-11-15 03:45:16,750 - mmdet - INFO - Epoch [29][2600/7330] lr: 1.000e-05, eta: 4:01:27, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0297, loss_cls: 0.1338, acc: 95.0068, loss_bbox: 0.1822, loss_mask: 0.2042, loss: 0.5670 2023-11-15 03:45:29,813 - mmdet - INFO - Epoch [29][2650/7330] lr: 1.000e-05, eta: 4:01:14, time: 0.261, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0207, loss_rpn_bbox: 0.0304, loss_cls: 0.1387, acc: 94.7705, loss_bbox: 0.1894, loss_mask: 0.2000, loss: 0.5793 2023-11-15 03:45:42,692 - mmdet - INFO - Epoch [29][2700/7330] lr: 1.000e-05, eta: 4:01:01, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0301, loss_cls: 0.1359, acc: 94.8335, loss_bbox: 0.1871, loss_mask: 0.1998, loss: 0.5712 2023-11-15 03:45:55,540 - mmdet - INFO - Epoch [29][2750/7330] lr: 1.000e-05, eta: 4:00:49, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0288, loss_cls: 0.1353, acc: 94.8291, loss_bbox: 0.1852, loss_mask: 0.1960, loss: 0.5636 2023-11-15 03:46:08,453 - mmdet - INFO - Epoch [29][2800/7330] lr: 1.000e-05, eta: 4:00:36, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0302, loss_cls: 0.1370, acc: 94.8408, loss_bbox: 0.1901, loss_mask: 0.1984, loss: 0.5752 2023-11-15 03:46:20,820 - mmdet - INFO - Epoch [29][2850/7330] lr: 1.000e-05, eta: 4:00:23, time: 0.247, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0277, loss_cls: 0.1322, acc: 95.1062, loss_bbox: 0.1798, loss_mask: 0.1956, loss: 0.5536 2023-11-15 03:46:33,560 - mmdet - INFO - Epoch [29][2900/7330] lr: 1.000e-05, eta: 4:00:10, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0277, loss_cls: 0.1332, acc: 95.0203, loss_bbox: 0.1798, loss_mask: 0.1938, loss: 0.5525 2023-11-15 03:46:46,314 - mmdet - INFO - Epoch [29][2950/7330] lr: 1.000e-05, eta: 3:59:57, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0271, loss_cls: 0.1341, acc: 94.9368, loss_bbox: 0.1837, loss_mask: 0.1955, loss: 0.5566 2023-11-15 03:46:59,335 - mmdet - INFO - Epoch [29][3000/7330] lr: 1.000e-05, eta: 3:59:44, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0279, loss_cls: 0.1319, acc: 95.0393, loss_bbox: 0.1806, loss_mask: 0.1961, loss: 0.5533 2023-11-15 03:47:12,095 - mmdet - INFO - Epoch [29][3050/7330] lr: 1.000e-05, eta: 3:59:31, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0291, loss_cls: 0.1416, acc: 94.7820, loss_bbox: 0.1871, loss_mask: 0.1980, loss: 0.5742 2023-11-15 03:47:24,824 - mmdet - INFO - Epoch [29][3100/7330] lr: 1.000e-05, eta: 3:59:18, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0295, loss_cls: 0.1407, acc: 94.7124, loss_bbox: 0.1927, loss_mask: 0.1992, loss: 0.5808 2023-11-15 03:47:37,612 - mmdet - INFO - Epoch [29][3150/7330] lr: 1.000e-05, eta: 3:59:05, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0283, loss_cls: 0.1360, acc: 94.8364, loss_bbox: 0.1833, loss_mask: 0.1964, loss: 0.5617 2023-11-15 03:47:50,500 - mmdet - INFO - Epoch [29][3200/7330] lr: 1.000e-05, eta: 3:58:52, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0277, loss_cls: 0.1301, acc: 95.1343, loss_bbox: 0.1773, loss_mask: 0.1918, loss: 0.5432 2023-11-15 03:48:03,230 - mmdet - INFO - Epoch [29][3250/7330] lr: 1.000e-05, eta: 3:58:39, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0288, loss_cls: 0.1319, acc: 95.0396, loss_bbox: 0.1817, loss_mask: 0.1932, loss: 0.5534 2023-11-15 03:48:15,961 - mmdet - INFO - Epoch [29][3300/7330] lr: 1.000e-05, eta: 3:58:26, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0260, loss_cls: 0.1288, acc: 95.1594, loss_bbox: 0.1734, loss_mask: 0.1877, loss: 0.5336 2023-11-15 03:48:28,493 - mmdet - INFO - Epoch [29][3350/7330] lr: 1.000e-05, eta: 3:58:13, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0275, loss_cls: 0.1354, acc: 94.9956, loss_bbox: 0.1831, loss_mask: 0.1967, loss: 0.5614 2023-11-15 03:48:41,455 - mmdet - INFO - Epoch [29][3400/7330] lr: 1.000e-05, eta: 3:58:00, time: 0.259, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0266, loss_cls: 0.1286, acc: 95.1736, loss_bbox: 0.1745, loss_mask: 0.1881, loss: 0.5337 2023-11-15 03:48:54,041 - mmdet - INFO - Epoch [29][3450/7330] lr: 1.000e-05, eta: 3:57:47, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0277, loss_cls: 0.1325, acc: 94.9700, loss_bbox: 0.1826, loss_mask: 0.1943, loss: 0.5551 2023-11-15 03:49:06,904 - mmdet - INFO - Epoch [29][3500/7330] lr: 1.000e-05, eta: 3:57:34, time: 0.257, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0277, loss_cls: 0.1317, acc: 95.0603, loss_bbox: 0.1814, loss_mask: 0.1947, loss: 0.5535 2023-11-15 03:49:19,852 - mmdet - INFO - Epoch [29][3550/7330] lr: 1.000e-05, eta: 3:57:21, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0285, loss_cls: 0.1354, acc: 94.9314, loss_bbox: 0.1883, loss_mask: 0.1956, loss: 0.5651 2023-11-15 03:49:32,603 - mmdet - INFO - Epoch [29][3600/7330] lr: 1.000e-05, eta: 3:57:08, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0286, loss_cls: 0.1386, acc: 94.8286, loss_bbox: 0.1857, loss_mask: 0.1969, loss: 0.5687 2023-11-15 03:49:45,400 - mmdet - INFO - Epoch [29][3650/7330] lr: 1.000e-05, eta: 3:56:55, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0288, loss_cls: 0.1321, acc: 95.0027, loss_bbox: 0.1819, loss_mask: 0.1920, loss: 0.5531 2023-11-15 03:49:58,677 - mmdet - INFO - Epoch [29][3700/7330] lr: 1.000e-05, eta: 3:56:42, time: 0.266, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0285, loss_cls: 0.1305, acc: 95.0774, loss_bbox: 0.1821, loss_mask: 0.1932, loss: 0.5506 2023-11-15 03:50:11,693 - mmdet - INFO - Epoch [29][3750/7330] lr: 1.000e-05, eta: 3:56:29, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0291, loss_cls: 0.1354, acc: 94.8762, loss_bbox: 0.1837, loss_mask: 0.1993, loss: 0.5654 2023-11-15 03:50:24,766 - mmdet - INFO - Epoch [29][3800/7330] lr: 1.000e-05, eta: 3:56:16, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0281, loss_cls: 0.1313, acc: 95.0488, loss_bbox: 0.1816, loss_mask: 0.1919, loss: 0.5501 2023-11-15 03:50:37,505 - mmdet - INFO - Epoch [29][3850/7330] lr: 1.000e-05, eta: 3:56:04, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0294, loss_cls: 0.1350, acc: 94.9644, loss_bbox: 0.1848, loss_mask: 0.1996, loss: 0.5663 2023-11-15 03:50:50,207 - mmdet - INFO - Epoch [29][3900/7330] lr: 1.000e-05, eta: 3:55:51, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0286, loss_cls: 0.1341, acc: 94.8813, loss_bbox: 0.1831, loss_mask: 0.1977, loss: 0.5608 2023-11-15 03:51:03,035 - mmdet - INFO - Epoch [29][3950/7330] lr: 1.000e-05, eta: 3:55:38, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0280, loss_cls: 0.1351, acc: 94.9902, loss_bbox: 0.1815, loss_mask: 0.1950, loss: 0.5583 2023-11-15 03:51:15,722 - mmdet - INFO - Epoch [29][4000/7330] lr: 1.000e-05, eta: 3:55:25, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0287, loss_cls: 0.1343, acc: 94.9907, loss_bbox: 0.1821, loss_mask: 0.1981, loss: 0.5627 2023-11-15 03:51:28,567 - mmdet - INFO - Epoch [29][4050/7330] lr: 1.000e-05, eta: 3:55:12, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0278, loss_cls: 0.1356, acc: 94.8555, loss_bbox: 0.1870, loss_mask: 0.1979, loss: 0.5659 2023-11-15 03:51:41,697 - mmdet - INFO - Epoch [29][4100/7330] lr: 1.000e-05, eta: 3:54:59, time: 0.263, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0276, loss_cls: 0.1348, acc: 94.8884, loss_bbox: 0.1861, loss_mask: 0.1964, loss: 0.5612 2023-11-15 03:51:54,652 - mmdet - INFO - Epoch [29][4150/7330] lr: 1.000e-05, eta: 3:54:46, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0295, loss_cls: 0.1368, acc: 94.8425, loss_bbox: 0.1896, loss_mask: 0.1990, loss: 0.5737 2023-11-15 03:52:07,500 - mmdet - INFO - Epoch [29][4200/7330] lr: 1.000e-05, eta: 3:54:33, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0270, loss_cls: 0.1327, acc: 95.0474, loss_bbox: 0.1805, loss_mask: 0.1916, loss: 0.5478 2023-11-15 03:52:20,313 - mmdet - INFO - Epoch [29][4250/7330] lr: 1.000e-05, eta: 3:54:20, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0282, loss_cls: 0.1406, acc: 94.7617, loss_bbox: 0.1918, loss_mask: 0.1966, loss: 0.5766 2023-11-15 03:52:33,469 - mmdet - INFO - Epoch [29][4300/7330] lr: 1.000e-05, eta: 3:54:07, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0289, loss_cls: 0.1334, acc: 94.8997, loss_bbox: 0.1858, loss_mask: 0.1926, loss: 0.5606 2023-11-15 03:52:46,352 - mmdet - INFO - Epoch [29][4350/7330] lr: 1.000e-05, eta: 3:53:54, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0285, loss_cls: 0.1381, acc: 94.8682, loss_bbox: 0.1880, loss_mask: 0.2010, loss: 0.5740 2023-11-15 03:52:59,220 - mmdet - INFO - Epoch [29][4400/7330] lr: 1.000e-05, eta: 3:53:41, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0286, loss_cls: 0.1332, acc: 94.9766, loss_bbox: 0.1841, loss_mask: 0.1957, loss: 0.5597 2023-11-15 03:53:12,429 - mmdet - INFO - Epoch [29][4450/7330] lr: 1.000e-05, eta: 3:53:28, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0280, loss_cls: 0.1323, acc: 94.9536, loss_bbox: 0.1830, loss_mask: 0.1956, loss: 0.5564 2023-11-15 03:53:25,284 - mmdet - INFO - Epoch [29][4500/7330] lr: 1.000e-05, eta: 3:53:15, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0294, loss_cls: 0.1383, acc: 94.8669, loss_bbox: 0.1837, loss_mask: 0.1989, loss: 0.5679 2023-11-15 03:53:38,032 - mmdet - INFO - Epoch [29][4550/7330] lr: 1.000e-05, eta: 3:53:02, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0255, loss_cls: 0.1244, acc: 95.3696, loss_bbox: 0.1678, loss_mask: 0.1927, loss: 0.5259 2023-11-15 03:53:50,993 - mmdet - INFO - Epoch [29][4600/7330] lr: 1.000e-05, eta: 3:52:50, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0290, loss_cls: 0.1364, acc: 94.8831, loss_bbox: 0.1889, loss_mask: 0.2020, loss: 0.5744 2023-11-15 03:54:03,846 - mmdet - INFO - Epoch [29][4650/7330] lr: 1.000e-05, eta: 3:52:37, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0278, loss_cls: 0.1376, acc: 94.8372, loss_bbox: 0.1860, loss_mask: 0.1991, loss: 0.5686 2023-11-15 03:54:16,450 - mmdet - INFO - Epoch [29][4700/7330] lr: 1.000e-05, eta: 3:52:24, time: 0.252, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0282, loss_cls: 0.1318, acc: 94.9944, loss_bbox: 0.1814, loss_mask: 0.1976, loss: 0.5565 2023-11-15 03:54:29,499 - mmdet - INFO - Epoch [29][4750/7330] lr: 1.000e-05, eta: 3:52:11, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0301, loss_cls: 0.1409, acc: 94.7505, loss_bbox: 0.1936, loss_mask: 0.1969, loss: 0.5790 2023-11-15 03:54:42,407 - mmdet - INFO - Epoch [29][4800/7330] lr: 1.000e-05, eta: 3:51:58, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0280, loss_cls: 0.1292, acc: 95.1382, loss_bbox: 0.1776, loss_mask: 0.1917, loss: 0.5437 2023-11-15 03:54:55,319 - mmdet - INFO - Epoch [29][4850/7330] lr: 1.000e-05, eta: 3:51:45, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0283, loss_cls: 0.1297, acc: 95.0410, loss_bbox: 0.1817, loss_mask: 0.1934, loss: 0.5498 2023-11-15 03:55:08,243 - mmdet - INFO - Epoch [29][4900/7330] lr: 1.000e-05, eta: 3:51:32, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0298, loss_cls: 0.1368, acc: 94.8772, loss_bbox: 0.1882, loss_mask: 0.1961, loss: 0.5683 2023-11-15 03:55:21,092 - mmdet - INFO - Epoch [29][4950/7330] lr: 1.000e-05, eta: 3:51:19, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0266, loss_cls: 0.1307, acc: 95.0603, loss_bbox: 0.1839, loss_mask: 0.1919, loss: 0.5505 2023-11-15 03:55:33,819 - mmdet - INFO - Epoch [29][5000/7330] lr: 1.000e-05, eta: 3:51:06, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0281, loss_cls: 0.1379, acc: 94.8174, loss_bbox: 0.1860, loss_mask: 0.1945, loss: 0.5654 2023-11-15 03:55:47,060 - mmdet - INFO - Epoch [29][5050/7330] lr: 1.000e-05, eta: 3:50:53, time: 0.265, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0322, loss_cls: 0.1460, acc: 94.5388, loss_bbox: 0.1932, loss_mask: 0.1990, loss: 0.5898 2023-11-15 03:56:00,034 - mmdet - INFO - Epoch [29][5100/7330] lr: 1.000e-05, eta: 3:50:40, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0296, loss_cls: 0.1349, acc: 94.8384, loss_bbox: 0.1872, loss_mask: 0.1999, loss: 0.5688 2023-11-15 03:56:13,000 - mmdet - INFO - Epoch [29][5150/7330] lr: 1.000e-05, eta: 3:50:27, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0276, loss_cls: 0.1332, acc: 95.0398, loss_bbox: 0.1806, loss_mask: 0.1909, loss: 0.5496 2023-11-15 03:56:25,723 - mmdet - INFO - Epoch [29][5200/7330] lr: 1.000e-05, eta: 3:50:14, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0270, loss_cls: 0.1308, acc: 95.0461, loss_bbox: 0.1778, loss_mask: 0.1927, loss: 0.5462 2023-11-15 03:56:38,629 - mmdet - INFO - Epoch [29][5250/7330] lr: 1.000e-05, eta: 3:50:01, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0303, loss_cls: 0.1375, acc: 94.8328, loss_bbox: 0.1884, loss_mask: 0.1939, loss: 0.5688 2023-11-15 03:56:51,556 - mmdet - INFO - Epoch [29][5300/7330] lr: 1.000e-05, eta: 3:49:48, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0283, loss_cls: 0.1366, acc: 94.9043, loss_bbox: 0.1865, loss_mask: 0.1970, loss: 0.5659 2023-11-15 03:57:04,438 - mmdet - INFO - Epoch [29][5350/7330] lr: 1.000e-05, eta: 3:49:36, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0291, loss_cls: 0.1437, acc: 94.5366, loss_bbox: 0.1975, loss_mask: 0.2013, loss: 0.5898 2023-11-15 03:57:17,277 - mmdet - INFO - Epoch [29][5400/7330] lr: 1.000e-05, eta: 3:49:23, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0289, loss_cls: 0.1398, acc: 94.6655, loss_bbox: 0.1907, loss_mask: 0.1966, loss: 0.5731 2023-11-15 03:57:30,010 - mmdet - INFO - Epoch [29][5450/7330] lr: 1.000e-05, eta: 3:49:10, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0274, loss_cls: 0.1324, acc: 94.9558, loss_bbox: 0.1816, loss_mask: 0.1949, loss: 0.5543 2023-11-15 03:57:42,924 - mmdet - INFO - Epoch [29][5500/7330] lr: 1.000e-05, eta: 3:48:57, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0294, loss_cls: 0.1385, acc: 94.7939, loss_bbox: 0.1887, loss_mask: 0.1985, loss: 0.5730 2023-11-15 03:57:55,829 - mmdet - INFO - Epoch [29][5550/7330] lr: 1.000e-05, eta: 3:48:44, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0205, loss_rpn_bbox: 0.0299, loss_cls: 0.1379, acc: 94.7791, loss_bbox: 0.1916, loss_mask: 0.1992, loss: 0.5790 2023-11-15 03:58:08,631 - mmdet - INFO - Epoch [29][5600/7330] lr: 1.000e-05, eta: 3:48:31, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0288, loss_cls: 0.1333, acc: 94.9963, loss_bbox: 0.1874, loss_mask: 0.1939, loss: 0.5602 2023-11-15 03:58:21,496 - mmdet - INFO - Epoch [29][5650/7330] lr: 1.000e-05, eta: 3:48:18, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0278, loss_cls: 0.1406, acc: 94.7437, loss_bbox: 0.1877, loss_mask: 0.1986, loss: 0.5727 2023-11-15 03:58:34,389 - mmdet - INFO - Epoch [29][5700/7330] lr: 1.000e-05, eta: 3:48:05, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0283, loss_cls: 0.1363, acc: 94.8992, loss_bbox: 0.1857, loss_mask: 0.1960, loss: 0.5626 2023-11-15 03:58:46,982 - mmdet - INFO - Epoch [29][5750/7330] lr: 1.000e-05, eta: 3:47:52, time: 0.252, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0264, loss_cls: 0.1332, acc: 95.0366, loss_bbox: 0.1805, loss_mask: 0.1931, loss: 0.5509 2023-11-15 03:58:59,748 - mmdet - INFO - Epoch [29][5800/7330] lr: 1.000e-05, eta: 3:47:39, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0284, loss_cls: 0.1356, acc: 94.9419, loss_bbox: 0.1827, loss_mask: 0.1953, loss: 0.5607 2023-11-15 03:59:12,525 - mmdet - INFO - Epoch [29][5850/7330] lr: 1.000e-05, eta: 3:47:26, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0293, loss_cls: 0.1354, acc: 94.8459, loss_bbox: 0.1864, loss_mask: 0.2012, loss: 0.5700 2023-11-15 03:59:25,315 - mmdet - INFO - Epoch [29][5900/7330] lr: 1.000e-05, eta: 3:47:13, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0282, loss_cls: 0.1337, acc: 95.0166, loss_bbox: 0.1851, loss_mask: 0.1995, loss: 0.5653 2023-11-15 03:59:38,561 - mmdet - INFO - Epoch [29][5950/7330] lr: 1.000e-05, eta: 3:47:00, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0291, loss_cls: 0.1345, acc: 94.9905, loss_bbox: 0.1827, loss_mask: 0.2003, loss: 0.5653 2023-11-15 03:59:51,398 - mmdet - INFO - Epoch [29][6000/7330] lr: 1.000e-05, eta: 3:46:47, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0283, loss_cls: 0.1324, acc: 95.0796, loss_bbox: 0.1796, loss_mask: 0.1977, loss: 0.5551 2023-11-15 04:00:04,300 - mmdet - INFO - Epoch [29][6050/7330] lr: 1.000e-05, eta: 3:46:34, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0293, loss_cls: 0.1318, acc: 95.0342, loss_bbox: 0.1840, loss_mask: 0.1939, loss: 0.5568 2023-11-15 04:00:17,107 - mmdet - INFO - Epoch [29][6100/7330] lr: 1.000e-05, eta: 3:46:21, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0283, loss_cls: 0.1320, acc: 94.9875, loss_bbox: 0.1814, loss_mask: 0.1932, loss: 0.5527 2023-11-15 04:00:29,820 - mmdet - INFO - Epoch [29][6150/7330] lr: 1.000e-05, eta: 3:46:08, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0250, loss_cls: 0.1248, acc: 95.3577, loss_bbox: 0.1700, loss_mask: 0.1904, loss: 0.5253 2023-11-15 04:00:42,549 - mmdet - INFO - Epoch [29][6200/7330] lr: 1.000e-05, eta: 3:45:55, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0252, loss_cls: 0.1261, acc: 95.2083, loss_bbox: 0.1749, loss_mask: 0.1905, loss: 0.5320 2023-11-15 04:00:55,348 - mmdet - INFO - Epoch [29][6250/7330] lr: 1.000e-05, eta: 3:45:42, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0290, loss_cls: 0.1361, acc: 94.8674, loss_bbox: 0.1894, loss_mask: 0.1985, loss: 0.5725 2023-11-15 04:01:08,348 - mmdet - INFO - Epoch [29][6300/7330] lr: 1.000e-05, eta: 3:45:30, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0285, loss_cls: 0.1359, acc: 94.8557, loss_bbox: 0.1830, loss_mask: 0.1950, loss: 0.5603 2023-11-15 04:01:21,150 - mmdet - INFO - Epoch [29][6350/7330] lr: 1.000e-05, eta: 3:45:17, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0269, loss_cls: 0.1288, acc: 95.0962, loss_bbox: 0.1788, loss_mask: 0.1938, loss: 0.5452 2023-11-15 04:01:34,134 - mmdet - INFO - Epoch [29][6400/7330] lr: 1.000e-05, eta: 3:45:04, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0286, loss_cls: 0.1314, acc: 95.1492, loss_bbox: 0.1801, loss_mask: 0.1960, loss: 0.5522 2023-11-15 04:01:47,034 - mmdet - INFO - Epoch [29][6450/7330] lr: 1.000e-05, eta: 3:44:51, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0293, loss_cls: 0.1416, acc: 94.7305, loss_bbox: 0.1928, loss_mask: 0.1971, loss: 0.5793 2023-11-15 04:01:59,767 - mmdet - INFO - Epoch [29][6500/7330] lr: 1.000e-05, eta: 3:44:38, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0271, loss_cls: 0.1301, acc: 95.1174, loss_bbox: 0.1757, loss_mask: 0.1934, loss: 0.5434 2023-11-15 04:02:12,490 - mmdet - INFO - Epoch [29][6550/7330] lr: 1.000e-05, eta: 3:44:25, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0291, loss_cls: 0.1389, acc: 94.7932, loss_bbox: 0.1858, loss_mask: 0.1987, loss: 0.5715 2023-11-15 04:02:25,423 - mmdet - INFO - Epoch [29][6600/7330] lr: 1.000e-05, eta: 3:44:12, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0259, loss_cls: 0.1343, acc: 95.1047, loss_bbox: 0.1782, loss_mask: 0.1888, loss: 0.5448 2023-11-15 04:02:38,442 - mmdet - INFO - Epoch [29][6650/7330] lr: 1.000e-05, eta: 3:43:59, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0311, loss_cls: 0.1392, acc: 94.6919, loss_bbox: 0.1939, loss_mask: 0.2009, loss: 0.5831 2023-11-15 04:02:51,289 - mmdet - INFO - Epoch [29][6700/7330] lr: 1.000e-05, eta: 3:43:46, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0265, loss_cls: 0.1296, acc: 95.1270, loss_bbox: 0.1760, loss_mask: 0.1909, loss: 0.5394 2023-11-15 04:03:04,244 - mmdet - INFO - Epoch [29][6750/7330] lr: 1.000e-05, eta: 3:43:33, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0271, loss_cls: 0.1344, acc: 94.8857, loss_bbox: 0.1844, loss_mask: 0.1945, loss: 0.5559 2023-11-15 04:03:17,286 - mmdet - INFO - Epoch [29][6800/7330] lr: 1.000e-05, eta: 3:43:20, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0289, loss_cls: 0.1403, acc: 94.7739, loss_bbox: 0.1874, loss_mask: 0.1937, loss: 0.5673 2023-11-15 04:03:31,417 - mmdet - INFO - Epoch [29][6850/7330] lr: 1.000e-05, eta: 3:43:08, time: 0.283, data_time: 0.040, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0272, loss_cls: 0.1316, acc: 95.0403, loss_bbox: 0.1779, loss_mask: 0.1932, loss: 0.5482 2023-11-15 04:03:44,590 - mmdet - INFO - Epoch [29][6900/7330] lr: 1.000e-05, eta: 3:42:55, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0298, loss_cls: 0.1397, acc: 94.6821, loss_bbox: 0.1941, loss_mask: 0.2007, loss: 0.5829 2023-11-15 04:03:57,262 - mmdet - INFO - Epoch [29][6950/7330] lr: 1.000e-05, eta: 3:42:42, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0297, loss_cls: 0.1361, acc: 94.8391, loss_bbox: 0.1931, loss_mask: 0.1995, loss: 0.5780 2023-11-15 04:04:10,162 - mmdet - INFO - Epoch [29][7000/7330] lr: 1.000e-05, eta: 3:42:29, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0305, loss_cls: 0.1329, acc: 94.9341, loss_bbox: 0.1799, loss_mask: 0.1937, loss: 0.5556 2023-11-15 04:04:22,821 - mmdet - INFO - Epoch [29][7050/7330] lr: 1.000e-05, eta: 3:42:16, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0291, loss_cls: 0.1348, acc: 94.9785, loss_bbox: 0.1843, loss_mask: 0.1941, loss: 0.5607 2023-11-15 04:04:35,668 - mmdet - INFO - Epoch [29][7100/7330] lr: 1.000e-05, eta: 3:42:03, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0273, loss_cls: 0.1289, acc: 95.1311, loss_bbox: 0.1789, loss_mask: 0.1921, loss: 0.5443 2023-11-15 04:04:48,658 - mmdet - INFO - Epoch [29][7150/7330] lr: 1.000e-05, eta: 3:41:50, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0302, loss_cls: 0.1380, acc: 94.7542, loss_bbox: 0.1898, loss_mask: 0.2011, loss: 0.5763 2023-11-15 04:05:01,769 - mmdet - INFO - Epoch [29][7200/7330] lr: 1.000e-05, eta: 3:41:37, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0288, loss_cls: 0.1336, acc: 94.8787, loss_bbox: 0.1839, loss_mask: 0.1933, loss: 0.5580 2023-11-15 04:05:14,538 - mmdet - INFO - Epoch [29][7250/7330] lr: 1.000e-05, eta: 3:41:24, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0287, loss_cls: 0.1349, acc: 94.9685, loss_bbox: 0.1856, loss_mask: 0.1974, loss: 0.5638 2023-11-15 04:05:27,605 - mmdet - INFO - Epoch [29][7300/7330] lr: 1.000e-05, eta: 3:41:11, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0280, loss_cls: 0.1319, acc: 95.0503, loss_bbox: 0.1804, loss_mask: 0.1906, loss: 0.5480 2023-11-15 04:05:35,966 - mmdet - INFO - Saving checkpoint at 29 epochs 2023-11-15 04:06:18,200 - mmdet - INFO - Evaluating bbox... 2023-11-15 04:06:45,975 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.492 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.705 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.538 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.336 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.529 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.639 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 ] = 0.444 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 ] = 0.755 2023-11-15 04:06:45,977 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.592 | bicycle | 0.398 | car | 0.500 | | motorcycle | 0.512 | airplane | 0.722 | bus | 0.713 | | train | 0.694 | truck | 0.435 | boat | 0.342 | | traffic light | 0.319 | fire hydrant | 0.744 | stop sign | 0.705 | | parking meter | 0.535 | bench | 0.314 | bird | 0.429 | | cat | 0.736 | dog | 0.711 | horse | 0.655 | | sheep | 0.609 | cow | 0.643 | elephant | 0.695 | | bear | 0.786 | zebra | 0.703 | giraffe | 0.710 | | backpack | 0.230 | umbrella | 0.462 | handbag | 0.248 | | tie | 0.411 | suitcase | 0.501 | frisbee | 0.708 | | skis | 0.323 | snowboard | 0.433 | sports ball | 0.480 | | kite | 0.463 | baseball bat | 0.423 | baseball glove | 0.462 | | skateboard | 0.594 | surfboard | 0.471 | tennis racket | 0.569 | | bottle | 0.463 | wine glass | 0.430 | cup | 0.500 | | fork | 0.490 | knife | 0.310 | spoon | 0.315 | | bowl | 0.474 | banana | 0.298 | apple | 0.275 | | sandwich | 0.427 | orange | 0.351 | broccoli | 0.258 | | carrot | 0.242 | hot dog | 0.447 | pizza | 0.568 | | donut | 0.561 | cake | 0.440 | chair | 0.374 | | couch | 0.495 | potted plant | 0.350 | bed | 0.484 | | dining table | 0.322 | toilet | 0.671 | tv | 0.646 | | laptop | 0.704 | mouse | 0.653 | remote | 0.456 | | keyboard | 0.565 | cell phone | 0.448 | microwave | 0.663 | | oven | 0.425 | toaster | 0.519 | sink | 0.466 | | refrigerator | 0.666 | book | 0.212 | clock | 0.524 | | vase | 0.427 | scissors | 0.442 | teddy bear | 0.544 | | hair drier | 0.127 | toothbrush | 0.361 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 04:06:45,977 - mmdet - INFO - Evaluating segm... 2023-11-15 04:07:14,481 - 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 ] = 0.679 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 ] = 0.471 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 ] = 0.548 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.548 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.548 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 ] = 0.585 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.708 2023-11-15 04:07:14,483 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.514 | bicycle | 0.240 | car | 0.458 | | motorcycle | 0.405 | airplane | 0.551 | bus | 0.690 | | train | 0.686 | truck | 0.423 | boat | 0.307 | | traffic light | 0.309 | fire hydrant | 0.699 | stop sign | 0.679 | | parking meter | 0.537 | bench | 0.237 | bird | 0.350 | | cat | 0.720 | dog | 0.666 | horse | 0.486 | | sheep | 0.539 | cow | 0.547 | elephant | 0.631 | | bear | 0.766 | zebra | 0.603 | giraffe | 0.560 | | backpack | 0.237 | umbrella | 0.514 | handbag | 0.231 | | tie | 0.377 | suitcase | 0.518 | frisbee | 0.653 | | skis | 0.064 | snowboard | 0.283 | sports ball | 0.459 | | kite | 0.323 | baseball bat | 0.318 | baseball glove | 0.472 | | skateboard | 0.388 | surfboard | 0.396 | tennis racket | 0.601 | | bottle | 0.436 | wine glass | 0.388 | cup | 0.496 | | fork | 0.245 | knife | 0.204 | spoon | 0.228 | | bowl | 0.441 | banana | 0.246 | apple | 0.267 | | sandwich | 0.453 | orange | 0.349 | broccoli | 0.235 | | carrot | 0.214 | hot dog | 0.361 | pizza | 0.538 | | donut | 0.555 | cake | 0.446 | chair | 0.263 | | couch | 0.414 | potted plant | 0.294 | bed | 0.392 | | dining table | 0.195 | toilet | 0.635 | tv | 0.667 | | laptop | 0.693 | mouse | 0.648 | remote | 0.400 | | keyboard | 0.547 | cell phone | 0.425 | microwave | 0.671 | | oven | 0.378 | toaster | 0.545 | sink | 0.432 | | refrigerator | 0.666 | book | 0.157 | clock | 0.514 | | vase | 0.406 | scissors | 0.326 | teddy bear | 0.514 | | hair drier | 0.125 | toothbrush | 0.248 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 04:07:14,859 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_28.pth was removed 2023-11-15 04:07:16,478 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_29.pth. 2023-11-15 04:07:16,479 - mmdet - INFO - Best bbox_mAP is 0.4921 at 29 epoch. 2023-11-15 04:07:16,479 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 04:07:16,479 - mmdet - INFO - Epoch(val) [29][625] bbox_mAP: 0.4921, bbox_mAP_50: 0.7052, bbox_mAP_75: 0.5381, bbox_mAP_s: 0.3358, bbox_mAP_m: 0.5290, bbox_mAP_l: 0.6390, bbox_mAP_copypaste: 0.4921 0.7052 0.5381 0.3358 0.5290 0.6390, segm_mAP: 0.4387, segm_mAP_50: 0.6786, segm_mAP_75: 0.4715, segm_mAP_s: 0.2520, segm_mAP_m: 0.4713, segm_mAP_l: 0.6243, segm_mAP_copypaste: 0.4387 0.6786 0.4715 0.2520 0.4713 0.6243 2023-11-15 04:07:33,083 - mmdet - INFO - Epoch [30][50/7330] lr: 1.000e-05, eta: 3:40:50, time: 0.332, data_time: 0.079, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0297, loss_cls: 0.1376, acc: 94.7944, loss_bbox: 0.1891, loss_mask: 0.1965, loss: 0.5706 2023-11-15 04:07:46,313 - mmdet - INFO - Epoch [30][100/7330] lr: 1.000e-05, eta: 3:40:37, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0298, loss_cls: 0.1306, acc: 95.0867, loss_bbox: 0.1822, loss_mask: 0.1931, loss: 0.5534 2023-11-15 04:07:59,039 - mmdet - INFO - Epoch [30][150/7330] lr: 1.000e-05, eta: 3:40:24, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0251, loss_cls: 0.1267, acc: 95.1768, loss_bbox: 0.1758, loss_mask: 0.1984, loss: 0.5415 2023-11-15 04:08:12,140 - mmdet - INFO - Epoch [30][200/7330] lr: 1.000e-05, eta: 3:40:11, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0290, loss_cls: 0.1378, acc: 94.8076, loss_bbox: 0.1897, loss_mask: 0.1942, loss: 0.5700 2023-11-15 04:08:25,077 - mmdet - INFO - Epoch [30][250/7330] lr: 1.000e-05, eta: 3:39:58, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0277, loss_cls: 0.1331, acc: 95.0017, loss_bbox: 0.1815, loss_mask: 0.1969, loss: 0.5563 2023-11-15 04:08:38,129 - mmdet - INFO - Epoch [30][300/7330] lr: 1.000e-05, eta: 3:39:45, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0296, loss_cls: 0.1332, acc: 95.0146, loss_bbox: 0.1809, loss_mask: 0.1993, loss: 0.5616 2023-11-15 04:08:51,033 - mmdet - INFO - Epoch [30][350/7330] lr: 1.000e-05, eta: 3:39:32, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0285, loss_cls: 0.1308, acc: 95.0151, loss_bbox: 0.1826, loss_mask: 0.1926, loss: 0.5518 2023-11-15 04:09:04,253 - mmdet - INFO - Epoch [30][400/7330] lr: 1.000e-05, eta: 3:39:19, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0294, loss_cls: 0.1351, acc: 94.9421, loss_bbox: 0.1851, loss_mask: 0.1950, loss: 0.5626 2023-11-15 04:09:17,078 - mmdet - INFO - Epoch [30][450/7330] lr: 1.000e-05, eta: 3:39:06, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0276, loss_cls: 0.1305, acc: 95.0325, loss_bbox: 0.1821, loss_mask: 0.1923, loss: 0.5490 2023-11-15 04:09:30,143 - mmdet - INFO - Epoch [30][500/7330] lr: 1.000e-05, eta: 3:38:53, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1385, acc: 94.7322, loss_bbox: 0.1908, loss_mask: 0.1970, loss: 0.5733 2023-11-15 04:09:43,409 - mmdet - INFO - Epoch [30][550/7330] lr: 1.000e-05, eta: 3:38:41, time: 0.265, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0273, loss_cls: 0.1295, acc: 95.1841, loss_bbox: 0.1789, loss_mask: 0.1919, loss: 0.5452 2023-11-15 04:09:56,163 - mmdet - INFO - Epoch [30][600/7330] lr: 1.000e-05, eta: 3:38:28, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0308, loss_cls: 0.1371, acc: 94.8511, loss_bbox: 0.1921, loss_mask: 0.1990, loss: 0.5776 2023-11-15 04:10:09,215 - mmdet - INFO - Epoch [30][650/7330] lr: 1.000e-05, eta: 3:38:15, time: 0.261, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0290, loss_cls: 0.1327, acc: 95.0601, loss_bbox: 0.1823, loss_mask: 0.1924, loss: 0.5531 2023-11-15 04:10:21,995 - mmdet - INFO - Epoch [30][700/7330] lr: 1.000e-05, eta: 3:38:02, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0285, loss_cls: 0.1370, acc: 94.8660, loss_bbox: 0.1891, loss_mask: 0.1951, loss: 0.5674 2023-11-15 04:10:34,742 - mmdet - INFO - Epoch [30][750/7330] lr: 1.000e-05, eta: 3:37:49, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0275, loss_cls: 0.1288, acc: 95.0581, loss_bbox: 0.1790, loss_mask: 0.1929, loss: 0.5440 2023-11-15 04:10:47,432 - mmdet - INFO - Epoch [30][800/7330] lr: 1.000e-05, eta: 3:37:36, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0294, loss_cls: 0.1329, acc: 94.9966, loss_bbox: 0.1825, loss_mask: 0.1923, loss: 0.5557 2023-11-15 04:11:00,314 - mmdet - INFO - Epoch [30][850/7330] lr: 1.000e-05, eta: 3:37:23, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0304, loss_cls: 0.1410, acc: 94.7124, loss_bbox: 0.1909, loss_mask: 0.1977, loss: 0.5786 2023-11-15 04:11:13,321 - mmdet - INFO - Epoch [30][900/7330] lr: 1.000e-05, eta: 3:37:10, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0300, loss_cls: 0.1340, acc: 94.8567, loss_bbox: 0.1832, loss_mask: 0.1981, loss: 0.5634 2023-11-15 04:11:25,785 - mmdet - INFO - Epoch [30][950/7330] lr: 1.000e-05, eta: 3:36:57, time: 0.249, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0274, loss_cls: 0.1342, acc: 94.9612, loss_bbox: 0.1825, loss_mask: 0.1955, loss: 0.5566 2023-11-15 04:11:38,713 - mmdet - INFO - Epoch [30][1000/7330] lr: 1.000e-05, eta: 3:36:44, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0295, loss_cls: 0.1386, acc: 94.8203, loss_bbox: 0.1923, loss_mask: 0.1928, loss: 0.5714 2023-11-15 04:11:51,525 - mmdet - INFO - Epoch [30][1050/7330] lr: 1.000e-05, eta: 3:36:31, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0287, loss_cls: 0.1382, acc: 94.7402, loss_bbox: 0.1899, loss_mask: 0.2024, loss: 0.5776 2023-11-15 04:12:04,298 - mmdet - INFO - Epoch [30][1100/7330] lr: 1.000e-05, eta: 3:36:18, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0297, loss_cls: 0.1373, acc: 94.8547, loss_bbox: 0.1852, loss_mask: 0.1960, loss: 0.5666 2023-11-15 04:12:17,071 - mmdet - INFO - Epoch [30][1150/7330] lr: 1.000e-05, eta: 3:36:05, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0288, loss_cls: 0.1373, acc: 94.8130, loss_bbox: 0.1862, loss_mask: 0.1992, loss: 0.5692 2023-11-15 04:12:29,598 - mmdet - INFO - Epoch [30][1200/7330] lr: 1.000e-05, eta: 3:35:52, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0288, loss_cls: 0.1310, acc: 95.0051, loss_bbox: 0.1840, loss_mask: 0.1934, loss: 0.5542 2023-11-15 04:12:42,442 - mmdet - INFO - Epoch [30][1250/7330] lr: 1.000e-05, eta: 3:35:39, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0293, loss_cls: 0.1319, acc: 95.0645, loss_bbox: 0.1853, loss_mask: 0.1966, loss: 0.5622 2023-11-15 04:12:55,348 - mmdet - INFO - Epoch [30][1300/7330] lr: 1.000e-05, eta: 3:35:26, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0281, loss_cls: 0.1275, acc: 95.2795, loss_bbox: 0.1774, loss_mask: 0.1949, loss: 0.5442 2023-11-15 04:13:08,167 - mmdet - INFO - Epoch [30][1350/7330] lr: 1.000e-05, eta: 3:35:13, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0268, loss_cls: 0.1309, acc: 95.0815, loss_bbox: 0.1838, loss_mask: 0.1923, loss: 0.5510 2023-11-15 04:13:21,043 - mmdet - INFO - Epoch [30][1400/7330] lr: 1.000e-05, eta: 3:35:00, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0310, loss_cls: 0.1404, acc: 94.7268, loss_bbox: 0.1955, loss_mask: 0.1985, loss: 0.5838 2023-11-15 04:13:33,865 - mmdet - INFO - Epoch [30][1450/7330] lr: 1.000e-05, eta: 3:34:47, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0288, loss_cls: 0.1342, acc: 94.9685, loss_bbox: 0.1831, loss_mask: 0.1944, loss: 0.5607 2023-11-15 04:13:46,992 - mmdet - INFO - Epoch [30][1500/7330] lr: 1.000e-05, eta: 3:34:35, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0284, loss_cls: 0.1321, acc: 95.0295, loss_bbox: 0.1795, loss_mask: 0.1935, loss: 0.5513 2023-11-15 04:13:59,891 - mmdet - INFO - Epoch [30][1550/7330] lr: 1.000e-05, eta: 3:34:22, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0296, loss_cls: 0.1409, acc: 94.7485, loss_bbox: 0.1875, loss_mask: 0.1982, loss: 0.5753 2023-11-15 04:14:13,000 - mmdet - INFO - Epoch [30][1600/7330] lr: 1.000e-05, eta: 3:34:09, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0280, loss_cls: 0.1308, acc: 95.1064, loss_bbox: 0.1819, loss_mask: 0.1915, loss: 0.5492 2023-11-15 04:14:25,896 - mmdet - INFO - Epoch [30][1650/7330] lr: 1.000e-05, eta: 3:33:56, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0289, loss_cls: 0.1344, acc: 94.9104, loss_bbox: 0.1828, loss_mask: 0.1948, loss: 0.5595 2023-11-15 04:14:38,792 - mmdet - INFO - Epoch [30][1700/7330] lr: 1.000e-05, eta: 3:33:43, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0277, loss_cls: 0.1260, acc: 95.1489, loss_bbox: 0.1735, loss_mask: 0.1888, loss: 0.5325 2023-11-15 04:14:51,813 - mmdet - INFO - Epoch [30][1750/7330] lr: 1.000e-05, eta: 3:33:30, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0272, loss_cls: 0.1293, acc: 95.2266, loss_bbox: 0.1755, loss_mask: 0.1921, loss: 0.5402 2023-11-15 04:15:04,552 - mmdet - INFO - Epoch [30][1800/7330] lr: 1.000e-05, eta: 3:33:17, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0271, loss_cls: 0.1301, acc: 95.1809, loss_bbox: 0.1781, loss_mask: 0.1897, loss: 0.5410 2023-11-15 04:15:17,483 - mmdet - INFO - Epoch [30][1850/7330] lr: 1.000e-05, eta: 3:33:04, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0281, loss_cls: 0.1333, acc: 95.0156, loss_bbox: 0.1838, loss_mask: 0.1924, loss: 0.5547 2023-11-15 04:15:30,094 - mmdet - INFO - Epoch [30][1900/7330] lr: 1.000e-05, eta: 3:32:51, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0268, loss_cls: 0.1310, acc: 95.1301, loss_bbox: 0.1832, loss_mask: 0.1916, loss: 0.5495 2023-11-15 04:15:43,137 - mmdet - INFO - Epoch [30][1950/7330] lr: 1.000e-05, eta: 3:32:38, time: 0.261, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0275, loss_cls: 0.1283, acc: 95.1008, loss_bbox: 0.1815, loss_mask: 0.1910, loss: 0.5447 2023-11-15 04:15:56,181 - mmdet - INFO - Epoch [30][2000/7330] lr: 1.000e-05, eta: 3:32:25, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0275, loss_cls: 0.1333, acc: 94.9958, loss_bbox: 0.1839, loss_mask: 0.1910, loss: 0.5534 2023-11-15 04:16:09,295 - mmdet - INFO - Epoch [30][2050/7330] lr: 1.000e-05, eta: 3:32:12, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0287, loss_cls: 0.1346, acc: 94.8706, loss_bbox: 0.1852, loss_mask: 0.1952, loss: 0.5618 2023-11-15 04:16:22,356 - mmdet - INFO - Epoch [30][2100/7330] lr: 1.000e-05, eta: 3:31:59, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0277, loss_cls: 0.1292, acc: 95.1665, loss_bbox: 0.1784, loss_mask: 0.1911, loss: 0.5439 2023-11-15 04:16:35,026 - mmdet - INFO - Epoch [30][2150/7330] lr: 1.000e-05, eta: 3:31:47, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0263, loss_cls: 0.1253, acc: 95.2136, loss_bbox: 0.1772, loss_mask: 0.1900, loss: 0.5347 2023-11-15 04:16:47,885 - mmdet - INFO - Epoch [30][2200/7330] lr: 1.000e-05, eta: 3:31:34, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0287, loss_cls: 0.1354, acc: 94.9468, loss_bbox: 0.1830, loss_mask: 0.1971, loss: 0.5609 2023-11-15 04:17:01,197 - mmdet - INFO - Epoch [30][2250/7330] lr: 1.000e-05, eta: 3:31:21, time: 0.266, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0292, loss_cls: 0.1328, acc: 95.0227, loss_bbox: 0.1826, loss_mask: 0.1958, loss: 0.5568 2023-11-15 04:17:14,040 - mmdet - INFO - Epoch [30][2300/7330] lr: 1.000e-05, eta: 3:31:08, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0295, loss_cls: 0.1390, acc: 94.7109, loss_bbox: 0.1943, loss_mask: 0.2007, loss: 0.5809 2023-11-15 04:17:29,376 - mmdet - INFO - Epoch [30][2350/7330] lr: 1.000e-05, eta: 3:30:55, time: 0.307, data_time: 0.061, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0292, loss_cls: 0.1355, acc: 94.8706, loss_bbox: 0.1873, loss_mask: 0.1949, loss: 0.5650 2023-11-15 04:17:42,240 - mmdet - INFO - Epoch [30][2400/7330] lr: 1.000e-05, eta: 3:30:42, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0283, loss_cls: 0.1361, acc: 94.8982, loss_bbox: 0.1861, loss_mask: 0.1979, loss: 0.5646 2023-11-15 04:17:54,974 - mmdet - INFO - Epoch [30][2450/7330] lr: 1.000e-05, eta: 3:30:30, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0284, loss_cls: 0.1335, acc: 94.9375, loss_bbox: 0.1859, loss_mask: 0.1937, loss: 0.5582 2023-11-15 04:18:07,682 - mmdet - INFO - Epoch [30][2500/7330] lr: 1.000e-05, eta: 3:30:17, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0286, loss_cls: 0.1370, acc: 94.9485, loss_bbox: 0.1901, loss_mask: 0.1940, loss: 0.5687 2023-11-15 04:18:20,665 - mmdet - INFO - Epoch [30][2550/7330] lr: 1.000e-05, eta: 3:30:04, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0287, loss_cls: 0.1367, acc: 94.8408, loss_bbox: 0.1869, loss_mask: 0.1942, loss: 0.5629 2023-11-15 04:18:33,444 - mmdet - INFO - Epoch [30][2600/7330] lr: 1.000e-05, eta: 3:29:51, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0285, loss_cls: 0.1351, acc: 94.8306, loss_bbox: 0.1886, loss_mask: 0.1997, loss: 0.5682 2023-11-15 04:18:46,570 - mmdet - INFO - Epoch [30][2650/7330] lr: 1.000e-05, eta: 3:29:38, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0278, loss_cls: 0.1324, acc: 94.9719, loss_bbox: 0.1823, loss_mask: 0.1952, loss: 0.5573 2023-11-15 04:18:59,652 - mmdet - INFO - Epoch [30][2700/7330] lr: 1.000e-05, eta: 3:29:25, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0300, loss_cls: 0.1339, acc: 94.9192, loss_bbox: 0.1831, loss_mask: 0.1971, loss: 0.5613 2023-11-15 04:19:12,466 - mmdet - INFO - Epoch [30][2750/7330] lr: 1.000e-05, eta: 3:29:12, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0286, loss_cls: 0.1343, acc: 94.9731, loss_bbox: 0.1867, loss_mask: 0.1992, loss: 0.5668 2023-11-15 04:19:25,313 - mmdet - INFO - Epoch [30][2800/7330] lr: 1.000e-05, eta: 3:28:59, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0292, loss_cls: 0.1362, acc: 94.9551, loss_bbox: 0.1841, loss_mask: 0.2013, loss: 0.5690 2023-11-15 04:19:37,838 - mmdet - INFO - Epoch [30][2850/7330] lr: 1.000e-05, eta: 3:28:46, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0284, loss_cls: 0.1339, acc: 94.9783, loss_bbox: 0.1851, loss_mask: 0.1970, loss: 0.5613 2023-11-15 04:19:50,779 - mmdet - INFO - Epoch [30][2900/7330] lr: 1.000e-05, eta: 3:28:33, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0261, loss_cls: 0.1293, acc: 95.1885, loss_bbox: 0.1764, loss_mask: 0.1919, loss: 0.5386 2023-11-15 04:20:03,738 - mmdet - INFO - Epoch [30][2950/7330] lr: 1.000e-05, eta: 3:28:20, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0137, loss_rpn_bbox: 0.0250, loss_cls: 0.1263, acc: 95.2378, loss_bbox: 0.1771, loss_mask: 0.1911, loss: 0.5333 2023-11-15 04:20:16,392 - mmdet - INFO - Epoch [30][3000/7330] lr: 1.000e-05, eta: 3:28:07, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0285, loss_cls: 0.1342, acc: 94.8855, loss_bbox: 0.1843, loss_mask: 0.1931, loss: 0.5581 2023-11-15 04:20:29,419 - mmdet - INFO - Epoch [30][3050/7330] lr: 1.000e-05, eta: 3:27:54, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0293, loss_cls: 0.1402, acc: 94.6780, loss_bbox: 0.1944, loss_mask: 0.1966, loss: 0.5793 2023-11-15 04:20:42,585 - mmdet - INFO - Epoch [30][3100/7330] lr: 1.000e-05, eta: 3:27:41, time: 0.263, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0318, loss_cls: 0.1413, acc: 94.6787, loss_bbox: 0.1921, loss_mask: 0.2027, loss: 0.5872 2023-11-15 04:20:55,658 - mmdet - INFO - Epoch [30][3150/7330] lr: 1.000e-05, eta: 3:27:29, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0219, loss_rpn_bbox: 0.0316, loss_cls: 0.1407, acc: 94.7012, loss_bbox: 0.1910, loss_mask: 0.1957, loss: 0.5809 2023-11-15 04:21:08,792 - mmdet - INFO - Epoch [30][3200/7330] lr: 1.000e-05, eta: 3:27:16, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0280, loss_cls: 0.1346, acc: 94.8901, loss_bbox: 0.1839, loss_mask: 0.1986, loss: 0.5630 2023-11-15 04:21:21,514 - mmdet - INFO - Epoch [30][3250/7330] lr: 1.000e-05, eta: 3:27:03, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0260, loss_cls: 0.1277, acc: 95.1650, loss_bbox: 0.1793, loss_mask: 0.1897, loss: 0.5392 2023-11-15 04:21:34,509 - mmdet - INFO - Epoch [30][3300/7330] lr: 1.000e-05, eta: 3:26:50, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0305, loss_cls: 0.1379, acc: 94.7593, loss_bbox: 0.1878, loss_mask: 0.1960, loss: 0.5718 2023-11-15 04:21:47,260 - mmdet - INFO - Epoch [30][3350/7330] lr: 1.000e-05, eta: 3:26:37, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0294, loss_cls: 0.1389, acc: 94.7908, loss_bbox: 0.1899, loss_mask: 0.1955, loss: 0.5713 2023-11-15 04:22:00,225 - mmdet - INFO - Epoch [30][3400/7330] lr: 1.000e-05, eta: 3:26:24, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0273, loss_cls: 0.1327, acc: 95.0212, loss_bbox: 0.1861, loss_mask: 0.1891, loss: 0.5526 2023-11-15 04:22:12,961 - mmdet - INFO - Epoch [30][3450/7330] lr: 1.000e-05, eta: 3:26:11, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1350, acc: 94.9451, loss_bbox: 0.1882, loss_mask: 0.1976, loss: 0.5668 2023-11-15 04:22:26,313 - mmdet - INFO - Epoch [30][3500/7330] lr: 1.000e-05, eta: 3:25:58, time: 0.267, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0286, loss_cls: 0.1369, acc: 94.9248, loss_bbox: 0.1867, loss_mask: 0.1931, loss: 0.5632 2023-11-15 04:22:39,304 - mmdet - INFO - Epoch [30][3550/7330] lr: 1.000e-05, eta: 3:25:45, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0293, loss_cls: 0.1348, acc: 94.9871, loss_bbox: 0.1852, loss_mask: 0.1952, loss: 0.5630 2023-11-15 04:22:52,183 - mmdet - INFO - Epoch [30][3600/7330] lr: 1.000e-05, eta: 3:25:32, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0277, loss_cls: 0.1265, acc: 95.1477, loss_bbox: 0.1782, loss_mask: 0.1912, loss: 0.5411 2023-11-15 04:23:05,068 - mmdet - INFO - Epoch [30][3650/7330] lr: 1.000e-05, eta: 3:25:19, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0272, loss_cls: 0.1289, acc: 95.1467, loss_bbox: 0.1807, loss_mask: 0.1918, loss: 0.5452 2023-11-15 04:23:17,908 - mmdet - INFO - Epoch [30][3700/7330] lr: 1.000e-05, eta: 3:25:06, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0285, loss_cls: 0.1328, acc: 94.9861, loss_bbox: 0.1849, loss_mask: 0.1931, loss: 0.5583 2023-11-15 04:23:30,900 - mmdet - INFO - Epoch [30][3750/7330] lr: 1.000e-05, eta: 3:24:53, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0261, loss_cls: 0.1291, acc: 95.1394, loss_bbox: 0.1795, loss_mask: 0.1973, loss: 0.5494 2023-11-15 04:23:43,975 - mmdet - INFO - Epoch [30][3800/7330] lr: 1.000e-05, eta: 3:24:41, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0270, loss_cls: 0.1261, acc: 95.1873, loss_bbox: 0.1779, loss_mask: 0.1888, loss: 0.5365 2023-11-15 04:23:56,562 - mmdet - INFO - Epoch [30][3850/7330] lr: 1.000e-05, eta: 3:24:28, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0273, loss_cls: 0.1333, acc: 94.9905, loss_bbox: 0.1827, loss_mask: 0.1877, loss: 0.5457 2023-11-15 04:24:09,491 - mmdet - INFO - Epoch [30][3900/7330] lr: 1.000e-05, eta: 3:24:15, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0294, loss_cls: 0.1323, acc: 95.0369, loss_bbox: 0.1825, loss_mask: 0.1925, loss: 0.5547 2023-11-15 04:24:22,238 - mmdet - INFO - Epoch [30][3950/7330] lr: 1.000e-05, eta: 3:24:02, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0290, loss_cls: 0.1327, acc: 94.9612, loss_bbox: 0.1791, loss_mask: 0.1917, loss: 0.5511 2023-11-15 04:24:35,184 - mmdet - INFO - Epoch [30][4000/7330] lr: 1.000e-05, eta: 3:23:49, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0282, loss_cls: 0.1316, acc: 95.0298, loss_bbox: 0.1808, loss_mask: 0.1935, loss: 0.5508 2023-11-15 04:24:47,880 - mmdet - INFO - Epoch [30][4050/7330] lr: 1.000e-05, eta: 3:23:36, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0190, loss_rpn_bbox: 0.0300, loss_cls: 0.1364, acc: 94.8503, loss_bbox: 0.1861, loss_mask: 0.1972, loss: 0.5687 2023-11-15 04:25:00,567 - mmdet - INFO - Epoch [30][4100/7330] lr: 1.000e-05, eta: 3:23:23, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0269, loss_cls: 0.1351, acc: 94.9302, loss_bbox: 0.1831, loss_mask: 0.1949, loss: 0.5575 2023-11-15 04:25:13,644 - mmdet - INFO - Epoch [30][4150/7330] lr: 1.000e-05, eta: 3:23:10, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0278, loss_cls: 0.1295, acc: 95.0725, loss_bbox: 0.1781, loss_mask: 0.1905, loss: 0.5431 2023-11-15 04:25:26,235 - mmdet - INFO - Epoch [30][4200/7330] lr: 1.000e-05, eta: 3:22:57, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0296, loss_cls: 0.1366, acc: 94.8613, loss_bbox: 0.1875, loss_mask: 0.1921, loss: 0.5651 2023-11-15 04:25:38,807 - mmdet - INFO - Epoch [30][4250/7330] lr: 1.000e-05, eta: 3:22:44, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0277, loss_cls: 0.1365, acc: 94.9067, loss_bbox: 0.1886, loss_mask: 0.1955, loss: 0.5648 2023-11-15 04:25:51,618 - mmdet - INFO - Epoch [30][4300/7330] lr: 1.000e-05, eta: 3:22:31, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0247, loss_cls: 0.1283, acc: 95.2339, loss_bbox: 0.1751, loss_mask: 0.1913, loss: 0.5351 2023-11-15 04:26:04,527 - mmdet - INFO - Epoch [30][4350/7330] lr: 1.000e-05, eta: 3:22:18, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0262, loss_cls: 0.1282, acc: 95.0994, loss_bbox: 0.1774, loss_mask: 0.1920, loss: 0.5401 2023-11-15 04:26:17,637 - mmdet - INFO - Epoch [30][4400/7330] lr: 1.000e-05, eta: 3:22:05, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0257, loss_cls: 0.1257, acc: 95.2490, loss_bbox: 0.1746, loss_mask: 0.1932, loss: 0.5349 2023-11-15 04:26:30,571 - mmdet - INFO - Epoch [30][4450/7330] lr: 1.000e-05, eta: 3:21:52, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0282, loss_cls: 0.1348, acc: 94.8418, loss_bbox: 0.1878, loss_mask: 0.1962, loss: 0.5629 2023-11-15 04:26:43,472 - mmdet - INFO - Epoch [30][4500/7330] lr: 1.000e-05, eta: 3:21:39, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0278, loss_cls: 0.1343, acc: 95.0232, loss_bbox: 0.1808, loss_mask: 0.1914, loss: 0.5528 2023-11-15 04:26:56,532 - mmdet - INFO - Epoch [30][4550/7330] lr: 1.000e-05, eta: 3:21:26, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0278, loss_cls: 0.1335, acc: 95.0029, loss_bbox: 0.1810, loss_mask: 0.1922, loss: 0.5507 2023-11-15 04:27:09,125 - mmdet - INFO - Epoch [30][4600/7330] lr: 1.000e-05, eta: 3:21:13, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0296, loss_cls: 0.1370, acc: 94.8647, loss_bbox: 0.1845, loss_mask: 0.1967, loss: 0.5651 2023-11-15 04:27:21,478 - mmdet - INFO - Epoch [30][4650/7330] lr: 1.000e-05, eta: 3:21:00, time: 0.247, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0257, loss_cls: 0.1204, acc: 95.4692, loss_bbox: 0.1688, loss_mask: 0.1920, loss: 0.5244 2023-11-15 04:27:34,270 - mmdet - INFO - Epoch [30][4700/7330] lr: 1.000e-05, eta: 3:20:47, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0277, loss_cls: 0.1352, acc: 94.9585, loss_bbox: 0.1870, loss_mask: 0.1990, loss: 0.5673 2023-11-15 04:27:47,384 - mmdet - INFO - Epoch [30][4750/7330] lr: 1.000e-05, eta: 3:20:35, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0296, loss_cls: 0.1394, acc: 94.7405, loss_bbox: 0.1882, loss_mask: 0.1977, loss: 0.5725 2023-11-15 04:28:00,563 - mmdet - INFO - Epoch [30][4800/7330] lr: 1.000e-05, eta: 3:20:22, time: 0.264, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0271, loss_cls: 0.1272, acc: 95.1838, loss_bbox: 0.1771, loss_mask: 0.1890, loss: 0.5368 2023-11-15 04:28:13,569 - mmdet - INFO - Epoch [30][4850/7330] lr: 1.000e-05, eta: 3:20:09, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0296, loss_cls: 0.1304, acc: 95.1367, loss_bbox: 0.1818, loss_mask: 0.1929, loss: 0.5525 2023-11-15 04:28:26,226 - mmdet - INFO - Epoch [30][4900/7330] lr: 1.000e-05, eta: 3:19:56, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0272, loss_cls: 0.1313, acc: 95.0337, loss_bbox: 0.1823, loss_mask: 0.1959, loss: 0.5535 2023-11-15 04:28:39,083 - mmdet - INFO - Epoch [30][4950/7330] lr: 1.000e-05, eta: 3:19:43, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0203, loss_rpn_bbox: 0.0323, loss_cls: 0.1471, acc: 94.4788, loss_bbox: 0.1976, loss_mask: 0.2061, loss: 0.6033 2023-11-15 04:28:51,887 - mmdet - INFO - Epoch [30][5000/7330] lr: 1.000e-05, eta: 3:19:30, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0281, loss_cls: 0.1305, acc: 95.0759, loss_bbox: 0.1795, loss_mask: 0.1940, loss: 0.5483 2023-11-15 04:29:04,346 - mmdet - INFO - Epoch [30][5050/7330] lr: 1.000e-05, eta: 3:19:17, time: 0.249, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0269, loss_cls: 0.1295, acc: 95.1172, loss_bbox: 0.1789, loss_mask: 0.1945, loss: 0.5482 2023-11-15 04:29:17,092 - mmdet - INFO - Epoch [30][5100/7330] lr: 1.000e-05, eta: 3:19:04, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0283, loss_cls: 0.1368, acc: 94.8213, loss_bbox: 0.1887, loss_mask: 0.1974, loss: 0.5686 2023-11-15 04:29:29,709 - mmdet - INFO - Epoch [30][5150/7330] lr: 1.000e-05, eta: 3:18:51, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0270, loss_cls: 0.1339, acc: 94.9180, loss_bbox: 0.1843, loss_mask: 0.1976, loss: 0.5605 2023-11-15 04:29:42,695 - mmdet - INFO - Epoch [30][5200/7330] lr: 1.000e-05, eta: 3:18:38, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0315, loss_cls: 0.1325, acc: 95.0398, loss_bbox: 0.1835, loss_mask: 0.1988, loss: 0.5649 2023-11-15 04:29:55,496 - mmdet - INFO - Epoch [30][5250/7330] lr: 1.000e-05, eta: 3:18:25, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0276, loss_cls: 0.1344, acc: 95.0286, loss_bbox: 0.1839, loss_mask: 0.1980, loss: 0.5610 2023-11-15 04:30:08,407 - mmdet - INFO - Epoch [30][5300/7330] lr: 1.000e-05, eta: 3:18:12, time: 0.258, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0272, loss_cls: 0.1265, acc: 95.2314, loss_bbox: 0.1794, loss_mask: 0.1942, loss: 0.5442 2023-11-15 04:30:21,193 - mmdet - INFO - Epoch [30][5350/7330] lr: 1.000e-05, eta: 3:17:59, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0283, loss_cls: 0.1349, acc: 94.9473, loss_bbox: 0.1846, loss_mask: 0.1974, loss: 0.5623 2023-11-15 04:30:33,991 - mmdet - INFO - Epoch [30][5400/7330] lr: 1.000e-05, eta: 3:17:46, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0282, loss_cls: 0.1298, acc: 95.0999, loss_bbox: 0.1767, loss_mask: 0.1902, loss: 0.5435 2023-11-15 04:30:46,665 - mmdet - INFO - Epoch [30][5450/7330] lr: 1.000e-05, eta: 3:17:33, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0286, loss_cls: 0.1341, acc: 94.8848, loss_bbox: 0.1857, loss_mask: 0.1960, loss: 0.5622 2023-11-15 04:30:59,208 - mmdet - INFO - Epoch [30][5500/7330] lr: 1.000e-05, eta: 3:17:20, time: 0.251, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0260, loss_cls: 0.1242, acc: 95.2920, loss_bbox: 0.1731, loss_mask: 0.1918, loss: 0.5310 2023-11-15 04:31:12,155 - mmdet - INFO - Epoch [30][5550/7330] lr: 1.000e-05, eta: 3:17:07, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0298, loss_cls: 0.1348, acc: 94.7954, loss_bbox: 0.1828, loss_mask: 0.1933, loss: 0.5583 2023-11-15 04:31:24,952 - mmdet - INFO - Epoch [30][5600/7330] lr: 1.000e-05, eta: 3:16:54, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0294, loss_cls: 0.1300, acc: 95.0920, loss_bbox: 0.1850, loss_mask: 0.1996, loss: 0.5609 2023-11-15 04:31:38,009 - mmdet - INFO - Epoch [30][5650/7330] lr: 1.000e-05, eta: 3:16:41, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0210, loss_rpn_bbox: 0.0301, loss_cls: 0.1398, acc: 94.7368, loss_bbox: 0.1873, loss_mask: 0.1960, loss: 0.5742 2023-11-15 04:31:51,151 - mmdet - INFO - Epoch [30][5700/7330] lr: 1.000e-05, eta: 3:16:29, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0310, loss_cls: 0.1365, acc: 94.8997, loss_bbox: 0.1857, loss_mask: 0.1963, loss: 0.5678 2023-11-15 04:32:03,815 - mmdet - INFO - Epoch [30][5750/7330] lr: 1.000e-05, eta: 3:16:16, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0284, loss_cls: 0.1314, acc: 95.1150, loss_bbox: 0.1836, loss_mask: 0.1950, loss: 0.5548 2023-11-15 04:32:16,622 - mmdet - INFO - Epoch [30][5800/7330] lr: 1.000e-05, eta: 3:16:03, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0290, loss_cls: 0.1303, acc: 95.0574, loss_bbox: 0.1831, loss_mask: 0.1924, loss: 0.5519 2023-11-15 04:32:29,474 - mmdet - INFO - Epoch [30][5850/7330] lr: 1.000e-05, eta: 3:15:50, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0288, loss_cls: 0.1311, acc: 95.0020, loss_bbox: 0.1804, loss_mask: 0.1915, loss: 0.5480 2023-11-15 04:32:42,390 - mmdet - INFO - Epoch [30][5900/7330] lr: 1.000e-05, eta: 3:15:37, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0273, loss_cls: 0.1287, acc: 95.0806, loss_bbox: 0.1823, loss_mask: 0.1948, loss: 0.5489 2023-11-15 04:32:55,239 - mmdet - INFO - Epoch [30][5950/7330] lr: 1.000e-05, eta: 3:15:24, time: 0.257, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0273, loss_cls: 0.1333, acc: 94.9648, loss_bbox: 0.1850, loss_mask: 0.1924, loss: 0.5556 2023-11-15 04:33:08,145 - mmdet - INFO - Epoch [30][6000/7330] lr: 1.000e-05, eta: 3:15:11, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0280, loss_cls: 0.1323, acc: 95.0342, loss_bbox: 0.1805, loss_mask: 0.1936, loss: 0.5522 2023-11-15 04:33:20,573 - mmdet - INFO - Epoch [30][6050/7330] lr: 1.000e-05, eta: 3:14:58, time: 0.249, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0266, loss_cls: 0.1288, acc: 95.1040, loss_bbox: 0.1765, loss_mask: 0.1917, loss: 0.5402 2023-11-15 04:33:33,385 - mmdet - INFO - Epoch [30][6100/7330] lr: 1.000e-05, eta: 3:14:45, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0286, loss_cls: 0.1381, acc: 94.8301, loss_bbox: 0.1864, loss_mask: 0.1974, loss: 0.5693 2023-11-15 04:33:45,775 - mmdet - INFO - Epoch [30][6150/7330] lr: 1.000e-05, eta: 3:14:32, time: 0.248, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0265, loss_cls: 0.1321, acc: 94.9849, loss_bbox: 0.1798, loss_mask: 0.1895, loss: 0.5446 2023-11-15 04:33:58,681 - mmdet - INFO - Epoch [30][6200/7330] lr: 1.000e-05, eta: 3:14:19, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0267, loss_cls: 0.1291, acc: 95.1289, loss_bbox: 0.1787, loss_mask: 0.1897, loss: 0.5418 2023-11-15 04:34:11,815 - mmdet - INFO - Epoch [30][6250/7330] lr: 1.000e-05, eta: 3:14:06, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0289, loss_cls: 0.1349, acc: 94.8433, loss_bbox: 0.1871, loss_mask: 0.1944, loss: 0.5620 2023-11-15 04:34:24,775 - mmdet - INFO - Epoch [30][6300/7330] lr: 1.000e-05, eta: 3:13:53, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0285, loss_cls: 0.1331, acc: 94.9800, loss_bbox: 0.1833, loss_mask: 0.1934, loss: 0.5567 2023-11-15 04:34:37,407 - mmdet - INFO - Epoch [30][6350/7330] lr: 1.000e-05, eta: 3:13:40, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0273, loss_cls: 0.1279, acc: 95.2063, loss_bbox: 0.1769, loss_mask: 0.1926, loss: 0.5413 2023-11-15 04:34:50,111 - mmdet - INFO - Epoch [30][6400/7330] lr: 1.000e-05, eta: 3:13:27, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0279, loss_cls: 0.1357, acc: 94.9041, loss_bbox: 0.1853, loss_mask: 0.1968, loss: 0.5618 2023-11-15 04:35:02,926 - mmdet - INFO - Epoch [30][6450/7330] lr: 1.000e-05, eta: 3:13:14, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0285, loss_cls: 0.1346, acc: 94.9553, loss_bbox: 0.1821, loss_mask: 0.1995, loss: 0.5631 2023-11-15 04:35:15,783 - mmdet - INFO - Epoch [30][6500/7330] lr: 1.000e-05, eta: 3:13:01, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0305, loss_cls: 0.1444, acc: 94.4900, loss_bbox: 0.1981, loss_mask: 0.2017, loss: 0.5943 2023-11-15 04:35:28,501 - mmdet - INFO - Epoch [30][6550/7330] lr: 1.000e-05, eta: 3:12:48, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0276, loss_cls: 0.1333, acc: 95.0674, loss_bbox: 0.1840, loss_mask: 0.1906, loss: 0.5525 2023-11-15 04:35:41,056 - mmdet - INFO - Epoch [30][6600/7330] lr: 1.000e-05, eta: 3:12:35, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0258, loss_cls: 0.1318, acc: 95.0688, loss_bbox: 0.1800, loss_mask: 0.1942, loss: 0.5473 2023-11-15 04:35:53,514 - mmdet - INFO - Epoch [30][6650/7330] lr: 1.000e-05, eta: 3:12:22, time: 0.249, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0274, loss_cls: 0.1320, acc: 95.0325, loss_bbox: 0.1835, loss_mask: 0.1932, loss: 0.5532 2023-11-15 04:36:06,472 - mmdet - INFO - Epoch [30][6700/7330] lr: 1.000e-05, eta: 3:12:09, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0287, loss_cls: 0.1326, acc: 95.0408, loss_bbox: 0.1819, loss_mask: 0.1970, loss: 0.5573 2023-11-15 04:36:19,067 - mmdet - INFO - Epoch [30][6750/7330] lr: 1.000e-05, eta: 3:11:56, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0279, loss_cls: 0.1326, acc: 95.0378, loss_bbox: 0.1802, loss_mask: 0.1922, loss: 0.5500 2023-11-15 04:36:31,780 - mmdet - INFO - Epoch [30][6800/7330] lr: 1.000e-05, eta: 3:11:44, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0260, loss_cls: 0.1305, acc: 95.1436, loss_bbox: 0.1776, loss_mask: 0.1932, loss: 0.5438 2023-11-15 04:36:44,603 - mmdet - INFO - Epoch [30][6850/7330] lr: 1.000e-05, eta: 3:11:31, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0286, loss_cls: 0.1323, acc: 94.9968, loss_bbox: 0.1820, loss_mask: 0.1912, loss: 0.5504 2023-11-15 04:36:57,414 - mmdet - INFO - Epoch [30][6900/7330] lr: 1.000e-05, eta: 3:11:18, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0299, loss_cls: 0.1347, acc: 95.0183, loss_bbox: 0.1815, loss_mask: 0.1974, loss: 0.5620 2023-11-15 04:37:10,173 - mmdet - INFO - Epoch [30][6950/7330] lr: 1.000e-05, eta: 3:11:05, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0300, loss_cls: 0.1386, acc: 94.7959, loss_bbox: 0.1911, loss_mask: 0.1966, loss: 0.5759 2023-11-15 04:37:22,643 - mmdet - INFO - Epoch [30][7000/7330] lr: 1.000e-05, eta: 3:10:52, time: 0.249, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0277, loss_cls: 0.1329, acc: 95.0198, loss_bbox: 0.1744, loss_mask: 0.1925, loss: 0.5441 2023-11-15 04:37:35,335 - mmdet - INFO - Epoch [30][7050/7330] lr: 1.000e-05, eta: 3:10:39, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0281, loss_cls: 0.1350, acc: 94.9041, loss_bbox: 0.1870, loss_mask: 0.1968, loss: 0.5640 2023-11-15 04:37:47,797 - mmdet - INFO - Epoch [30][7100/7330] lr: 1.000e-05, eta: 3:10:26, time: 0.249, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0276, loss_cls: 0.1310, acc: 95.0107, loss_bbox: 0.1829, loss_mask: 0.1957, loss: 0.5547 2023-11-15 04:38:00,368 - mmdet - INFO - Epoch [30][7150/7330] lr: 1.000e-05, eta: 3:10:13, time: 0.251, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0290, loss_cls: 0.1305, acc: 95.0525, loss_bbox: 0.1814, loss_mask: 0.1950, loss: 0.5542 2023-11-15 04:38:13,262 - mmdet - INFO - Epoch [30][7200/7330] lr: 1.000e-05, eta: 3:10:00, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0273, loss_cls: 0.1312, acc: 95.0505, loss_bbox: 0.1819, loss_mask: 0.1942, loss: 0.5498 2023-11-15 04:38:25,982 - mmdet - INFO - Epoch [30][7250/7330] lr: 1.000e-05, eta: 3:09:47, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0286, loss_cls: 0.1385, acc: 94.7764, loss_bbox: 0.1902, loss_mask: 0.2028, loss: 0.5778 2023-11-15 04:38:38,788 - mmdet - INFO - Epoch [30][7300/7330] lr: 1.000e-05, eta: 3:09:34, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0274, loss_cls: 0.1243, acc: 95.3325, loss_bbox: 0.1721, loss_mask: 0.1889, loss: 0.5294 2023-11-15 04:38:47,389 - mmdet - INFO - Saving checkpoint at 30 epochs 2023-11-15 04:39:29,659 - mmdet - INFO - Evaluating bbox... 2023-11-15 04:39:58,818 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.495 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.706 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.543 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 ] = 0.532 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 ] = 0.609 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 ] = 0.447 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 2023-11-15 04:39:58,820 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.597 | bicycle | 0.399 | car | 0.504 | | motorcycle | 0.509 | airplane | 0.724 | bus | 0.714 | | train | 0.701 | truck | 0.449 | boat | 0.343 | | traffic light | 0.312 | fire hydrant | 0.733 | stop sign | 0.703 | | parking meter | 0.531 | bench | 0.315 | bird | 0.433 | | cat | 0.747 | dog | 0.713 | horse | 0.648 | | sheep | 0.606 | cow | 0.647 | elephant | 0.695 | | bear | 0.787 | zebra | 0.703 | giraffe | 0.723 | | backpack | 0.233 | umbrella | 0.467 | handbag | 0.253 | | tie | 0.413 | suitcase | 0.504 | frisbee | 0.699 | | skis | 0.326 | snowboard | 0.446 | sports ball | 0.478 | | kite | 0.465 | baseball bat | 0.417 | baseball glove | 0.458 | | skateboard | 0.600 | surfboard | 0.465 | tennis racket | 0.577 | | bottle | 0.466 | wine glass | 0.423 | cup | 0.504 | | fork | 0.485 | knife | 0.313 | spoon | 0.319 | | bowl | 0.472 | banana | 0.297 | apple | 0.286 | | sandwich | 0.420 | orange | 0.360 | broccoli | 0.256 | | carrot | 0.248 | hot dog | 0.445 | pizza | 0.571 | | donut | 0.566 | cake | 0.452 | chair | 0.374 | | couch | 0.504 | potted plant | 0.349 | bed | 0.482 | | dining table | 0.321 | toilet | 0.666 | tv | 0.637 | | laptop | 0.708 | mouse | 0.668 | remote | 0.454 | | keyboard | 0.572 | cell phone | 0.450 | microwave | 0.666 | | oven | 0.427 | toaster | 0.598 | sink | 0.469 | | refrigerator | 0.669 | book | 0.210 | clock | 0.522 | | vase | 0.418 | scissors | 0.467 | teddy bear | 0.537 | | hair drier | 0.133 | toothbrush | 0.347 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 04:39:58,820 - mmdet - INFO - Evaluating segm... 2023-11-15 04:40:27,484 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.440 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.678 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.474 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.255 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 ] = 0.623 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 ] = 0.384 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.584 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.705 2023-11-15 04:40:27,486 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.517 | bicycle | 0.243 | car | 0.460 | | motorcycle | 0.405 | airplane | 0.551 | bus | 0.699 | | train | 0.685 | truck | 0.429 | boat | 0.302 | | traffic light | 0.300 | fire hydrant | 0.691 | stop sign | 0.684 | | parking meter | 0.543 | bench | 0.233 | bird | 0.356 | | cat | 0.723 | dog | 0.659 | horse | 0.482 | | sheep | 0.533 | cow | 0.548 | elephant | 0.633 | | bear | 0.769 | zebra | 0.595 | giraffe | 0.575 | | backpack | 0.237 | umbrella | 0.517 | handbag | 0.236 | | tie | 0.381 | suitcase | 0.511 | frisbee | 0.650 | | skis | 0.066 | snowboard | 0.285 | sports ball | 0.458 | | kite | 0.324 | baseball bat | 0.319 | baseball glove | 0.471 | | skateboard | 0.393 | surfboard | 0.389 | tennis racket | 0.600 | | bottle | 0.438 | wine glass | 0.389 | cup | 0.497 | | fork | 0.246 | knife | 0.211 | spoon | 0.225 | | bowl | 0.433 | banana | 0.235 | apple | 0.272 | | sandwich | 0.453 | orange | 0.355 | broccoli | 0.234 | | carrot | 0.216 | hot dog | 0.361 | pizza | 0.549 | | donut | 0.564 | cake | 0.453 | chair | 0.264 | | couch | 0.409 | potted plant | 0.289 | bed | 0.395 | | dining table | 0.188 | toilet | 0.633 | tv | 0.666 | | laptop | 0.682 | mouse | 0.647 | remote | 0.402 | | keyboard | 0.553 | cell phone | 0.430 | microwave | 0.675 | | oven | 0.391 | toaster | 0.610 | sink | 0.429 | | refrigerator | 0.666 | book | 0.157 | clock | 0.510 | | vase | 0.403 | scissors | 0.325 | teddy bear | 0.515 | | hair drier | 0.120 | toothbrush | 0.257 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 04:40:28,535 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_29.pth was removed 2023-11-15 04:40:30,077 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_30.pth. 2023-11-15 04:40:30,078 - mmdet - INFO - Best bbox_mAP is 0.4946 at 30 epoch. 2023-11-15 04:40:30,078 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 04:40:30,078 - mmdet - INFO - Epoch(val) [30][625] bbox_mAP: 0.4946, bbox_mAP_50: 0.7062, bbox_mAP_75: 0.5427, bbox_mAP_s: 0.3388, bbox_mAP_m: 0.5317, bbox_mAP_l: 0.6367, bbox_mAP_copypaste: 0.4946 0.7062 0.5427 0.3388 0.5317 0.6367, segm_mAP: 0.4400, segm_mAP_50: 0.6785, segm_mAP_75: 0.4741, segm_mAP_s: 0.2554, segm_mAP_m: 0.4721, segm_mAP_l: 0.6230, segm_mAP_copypaste: 0.4400 0.6785 0.4741 0.2554 0.4721 0.6230 2023-11-15 04:40:46,422 - mmdet - INFO - Epoch [31][50/7330] lr: 1.000e-05, eta: 3:09:12, time: 0.327, data_time: 0.074, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0260, loss_cls: 0.1334, acc: 94.9707, loss_bbox: 0.1792, loss_mask: 0.1917, loss: 0.5476 2023-11-15 04:40:59,359 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 04:40:59,359 - mmdet - INFO - Epoch [31][100/7330] lr: 1.000e-05, eta: 3:08:59, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0277, loss_cls: 0.1256, acc: 95.2056, loss_bbox: 0.1773, loss_mask: 0.1906, loss: 0.5379 2023-11-15 04:41:12,197 - mmdet - INFO - Epoch [31][150/7330] lr: 1.000e-05, eta: 3:08:46, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0274, loss_cls: 0.1256, acc: 95.2383, loss_bbox: 0.1761, loss_mask: 0.1907, loss: 0.5359 2023-11-15 04:41:25,204 - mmdet - INFO - Epoch [31][200/7330] lr: 1.000e-05, eta: 3:08:34, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0267, loss_cls: 0.1271, acc: 95.3203, loss_bbox: 0.1772, loss_mask: 0.1966, loss: 0.5427 2023-11-15 04:41:38,317 - mmdet - INFO - Epoch [31][250/7330] lr: 1.000e-05, eta: 3:08:21, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0277, loss_cls: 0.1326, acc: 95.0029, loss_bbox: 0.1862, loss_mask: 0.1941, loss: 0.5591 2023-11-15 04:41:51,468 - mmdet - INFO - Epoch [31][300/7330] lr: 1.000e-05, eta: 3:08:08, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0267, loss_cls: 0.1284, acc: 95.2095, loss_bbox: 0.1777, loss_mask: 0.1933, loss: 0.5409 2023-11-15 04:42:04,532 - mmdet - INFO - Epoch [31][350/7330] lr: 1.000e-05, eta: 3:07:55, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0273, loss_cls: 0.1316, acc: 95.0173, loss_bbox: 0.1809, loss_mask: 0.1942, loss: 0.5499 2023-11-15 04:42:17,788 - mmdet - INFO - Epoch [31][400/7330] lr: 1.000e-05, eta: 3:07:42, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0285, loss_cls: 0.1357, acc: 94.9089, loss_bbox: 0.1864, loss_mask: 0.1950, loss: 0.5633 2023-11-15 04:42:30,637 - mmdet - INFO - Epoch [31][450/7330] lr: 1.000e-05, eta: 3:07:29, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0268, loss_cls: 0.1242, acc: 95.2715, loss_bbox: 0.1781, loss_mask: 0.1933, loss: 0.5386 2023-11-15 04:42:43,715 - mmdet - INFO - Epoch [31][500/7330] lr: 1.000e-05, eta: 3:07:16, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0144, loss_rpn_bbox: 0.0245, loss_cls: 0.1250, acc: 95.2627, loss_bbox: 0.1726, loss_mask: 0.1883, loss: 0.5248 2023-11-15 04:42:56,802 - mmdet - INFO - Epoch [31][550/7330] lr: 1.000e-05, eta: 3:07:03, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0289, loss_cls: 0.1361, acc: 94.8794, loss_bbox: 0.1880, loss_mask: 0.1912, loss: 0.5607 2023-11-15 04:43:09,814 - mmdet - INFO - Epoch [31][600/7330] lr: 1.000e-05, eta: 3:06:50, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0276, loss_cls: 0.1291, acc: 95.2234, loss_bbox: 0.1773, loss_mask: 0.1952, loss: 0.5469 2023-11-15 04:43:22,736 - mmdet - INFO - Epoch [31][650/7330] lr: 1.000e-05, eta: 3:06:37, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0290, loss_cls: 0.1339, acc: 94.9768, loss_bbox: 0.1848, loss_mask: 0.1908, loss: 0.5551 2023-11-15 04:43:35,752 - mmdet - INFO - Epoch [31][700/7330] lr: 1.000e-05, eta: 3:06:25, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0283, loss_cls: 0.1294, acc: 95.0615, loss_bbox: 0.1852, loss_mask: 0.1976, loss: 0.5586 2023-11-15 04:43:48,509 - mmdet - INFO - Epoch [31][750/7330] lr: 1.000e-05, eta: 3:06:12, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0270, loss_cls: 0.1364, acc: 94.8694, loss_bbox: 0.1875, loss_mask: 0.1954, loss: 0.5646 2023-11-15 04:44:01,690 - mmdet - INFO - Epoch [31][800/7330] lr: 1.000e-05, eta: 3:05:59, time: 0.264, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0252, loss_cls: 0.1290, acc: 95.1892, loss_bbox: 0.1764, loss_mask: 0.1877, loss: 0.5350 2023-11-15 04:44:14,614 - mmdet - INFO - Epoch [31][850/7330] lr: 1.000e-05, eta: 3:05:46, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0286, loss_cls: 0.1336, acc: 94.9629, loss_bbox: 0.1898, loss_mask: 0.1938, loss: 0.5633 2023-11-15 04:44:27,516 - mmdet - INFO - Epoch [31][900/7330] lr: 1.000e-05, eta: 3:05:33, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0270, loss_cls: 0.1250, acc: 95.2905, loss_bbox: 0.1769, loss_mask: 0.1888, loss: 0.5340 2023-11-15 04:44:40,529 - mmdet - INFO - Epoch [31][950/7330] lr: 1.000e-05, eta: 3:05:20, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0284, loss_cls: 0.1353, acc: 94.8960, loss_bbox: 0.1838, loss_mask: 0.1958, loss: 0.5612 2023-11-15 04:44:53,645 - mmdet - INFO - Epoch [31][1000/7330] lr: 1.000e-05, eta: 3:05:07, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0308, loss_cls: 0.1366, acc: 94.7620, loss_bbox: 0.1913, loss_mask: 0.1950, loss: 0.5730 2023-11-15 04:45:06,510 - mmdet - INFO - Epoch [31][1050/7330] lr: 1.000e-05, eta: 3:04:54, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0293, loss_cls: 0.1292, acc: 95.1343, loss_bbox: 0.1836, loss_mask: 0.1957, loss: 0.5549 2023-11-15 04:45:19,587 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 04:45:19,587 - mmdet - INFO - Epoch [31][1100/7330] lr: 1.000e-05, eta: 3:04:41, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0266, loss_cls: 0.1281, acc: 95.1824, loss_bbox: 0.1833, loss_mask: 0.1973, loss: 0.5510 2023-11-15 04:45:32,547 - mmdet - INFO - Epoch [31][1150/7330] lr: 1.000e-05, eta: 3:04:28, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0266, loss_cls: 0.1265, acc: 95.2393, loss_bbox: 0.1785, loss_mask: 0.1906, loss: 0.5382 2023-11-15 04:45:45,663 - mmdet - INFO - Epoch [31][1200/7330] lr: 1.000e-05, eta: 3:04:15, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0285, loss_cls: 0.1376, acc: 94.8816, loss_bbox: 0.1841, loss_mask: 0.1918, loss: 0.5602 2023-11-15 04:45:58,857 - mmdet - INFO - Epoch [31][1250/7330] lr: 1.000e-05, eta: 3:04:03, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0281, loss_cls: 0.1340, acc: 94.8958, loss_bbox: 0.1860, loss_mask: 0.1985, loss: 0.5635 2023-11-15 04:46:11,939 - mmdet - INFO - Epoch [31][1300/7330] lr: 1.000e-05, eta: 3:03:50, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0299, loss_cls: 0.1402, acc: 94.6904, loss_bbox: 0.1953, loss_mask: 0.2022, loss: 0.5853 2023-11-15 04:46:24,881 - mmdet - INFO - Epoch [31][1350/7330] lr: 1.000e-05, eta: 3:03:37, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0288, loss_cls: 0.1385, acc: 94.7791, loss_bbox: 0.1856, loss_mask: 0.1953, loss: 0.5660 2023-11-15 04:46:37,676 - mmdet - INFO - Epoch [31][1400/7330] lr: 1.000e-05, eta: 3:03:24, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1299, acc: 95.1694, loss_bbox: 0.1775, loss_mask: 0.1892, loss: 0.5426 2023-11-15 04:46:50,665 - mmdet - INFO - Epoch [31][1450/7330] lr: 1.000e-05, eta: 3:03:11, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0288, loss_cls: 0.1339, acc: 94.9656, loss_bbox: 0.1862, loss_mask: 0.1955, loss: 0.5620 2023-11-15 04:47:03,819 - mmdet - INFO - Epoch [31][1500/7330] lr: 1.000e-05, eta: 3:02:58, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0297, loss_cls: 0.1351, acc: 94.9343, loss_bbox: 0.1887, loss_mask: 0.1928, loss: 0.5647 2023-11-15 04:47:16,804 - mmdet - INFO - Epoch [31][1550/7330] lr: 1.000e-05, eta: 3:02:45, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0268, loss_cls: 0.1313, acc: 95.0249, loss_bbox: 0.1791, loss_mask: 0.1933, loss: 0.5461 2023-11-15 04:47:29,634 - mmdet - INFO - Epoch [31][1600/7330] lr: 1.000e-05, eta: 3:02:32, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0298, loss_cls: 0.1374, acc: 94.8301, loss_bbox: 0.1931, loss_mask: 0.2015, loss: 0.5790 2023-11-15 04:47:42,108 - mmdet - INFO - Epoch [31][1650/7330] lr: 1.000e-05, eta: 3:02:19, time: 0.249, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0279, loss_cls: 0.1333, acc: 95.0122, loss_bbox: 0.1855, loss_mask: 0.1905, loss: 0.5533 2023-11-15 04:47:54,934 - mmdet - INFO - Epoch [31][1700/7330] lr: 1.000e-05, eta: 3:02:06, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0274, loss_cls: 0.1321, acc: 95.0557, loss_bbox: 0.1864, loss_mask: 0.1957, loss: 0.5577 2023-11-15 04:48:08,048 - mmdet - INFO - Epoch [31][1750/7330] lr: 1.000e-05, eta: 3:01:53, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0274, loss_cls: 0.1278, acc: 95.2148, loss_bbox: 0.1775, loss_mask: 0.1949, loss: 0.5431 2023-11-15 04:48:21,223 - mmdet - INFO - Epoch [31][1800/7330] lr: 1.000e-05, eta: 3:01:41, time: 0.264, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0286, loss_cls: 0.1312, acc: 95.0205, loss_bbox: 0.1784, loss_mask: 0.1949, loss: 0.5519 2023-11-15 04:48:34,202 - mmdet - INFO - Epoch [31][1850/7330] lr: 1.000e-05, eta: 3:01:28, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0285, loss_cls: 0.1354, acc: 94.9282, loss_bbox: 0.1841, loss_mask: 0.1928, loss: 0.5576 2023-11-15 04:48:47,110 - mmdet - INFO - Epoch [31][1900/7330] lr: 1.000e-05, eta: 3:01:15, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0288, loss_cls: 0.1326, acc: 94.8706, loss_bbox: 0.1887, loss_mask: 0.1941, loss: 0.5608 2023-11-15 04:49:00,181 - mmdet - INFO - Epoch [31][1950/7330] lr: 1.000e-05, eta: 3:01:02, time: 0.261, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0286, loss_cls: 0.1323, acc: 95.0474, loss_bbox: 0.1796, loss_mask: 0.1910, loss: 0.5486 2023-11-15 04:49:13,413 - mmdet - INFO - Epoch [31][2000/7330] lr: 1.000e-05, eta: 3:00:49, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0294, loss_cls: 0.1336, acc: 94.9221, loss_bbox: 0.1857, loss_mask: 0.1930, loss: 0.5590 2023-11-15 04:49:26,218 - mmdet - INFO - Epoch [31][2050/7330] lr: 1.000e-05, eta: 3:00:36, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0275, loss_cls: 0.1292, acc: 95.0557, loss_bbox: 0.1815, loss_mask: 0.1942, loss: 0.5499 2023-11-15 04:49:39,262 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 04:49:39,262 - mmdet - INFO - Epoch [31][2100/7330] lr: 1.000e-05, eta: 3:00:23, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0279, loss_cls: 0.1323, acc: 94.9954, loss_bbox: 0.1859, loss_mask: 0.1968, loss: 0.5603 2023-11-15 04:49:52,026 - mmdet - INFO - Epoch [31][2150/7330] lr: 1.000e-05, eta: 3:00:10, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0289, loss_cls: 0.1353, acc: 94.8557, loss_bbox: 0.1817, loss_mask: 0.1962, loss: 0.5608 2023-11-15 04:50:05,294 - mmdet - INFO - Epoch [31][2200/7330] lr: 1.000e-05, eta: 2:59:57, time: 0.265, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0276, loss_cls: 0.1344, acc: 94.9309, loss_bbox: 0.1862, loss_mask: 0.1974, loss: 0.5635 2023-11-15 04:50:18,197 - mmdet - INFO - Epoch [31][2250/7330] lr: 1.000e-05, eta: 2:59:44, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0263, loss_cls: 0.1287, acc: 95.0964, loss_bbox: 0.1780, loss_mask: 0.1904, loss: 0.5400 2023-11-15 04:50:30,950 - mmdet - INFO - Epoch [31][2300/7330] lr: 1.000e-05, eta: 2:59:31, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0289, loss_cls: 0.1373, acc: 94.7209, loss_bbox: 0.1881, loss_mask: 0.1952, loss: 0.5672 2023-11-15 04:50:43,678 - mmdet - INFO - Epoch [31][2350/7330] lr: 1.000e-05, eta: 2:59:18, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0282, loss_cls: 0.1305, acc: 95.1023, loss_bbox: 0.1747, loss_mask: 0.1918, loss: 0.5438 2023-11-15 04:50:56,303 - mmdet - INFO - Epoch [31][2400/7330] lr: 1.000e-05, eta: 2:59:05, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0261, loss_cls: 0.1272, acc: 95.2095, loss_bbox: 0.1751, loss_mask: 0.1909, loss: 0.5350 2023-11-15 04:51:09,313 - mmdet - INFO - Epoch [31][2450/7330] lr: 1.000e-05, eta: 2:58:53, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0284, loss_cls: 0.1362, acc: 94.8708, loss_bbox: 0.1872, loss_mask: 0.1943, loss: 0.5632 2023-11-15 04:51:22,126 - mmdet - INFO - Epoch [31][2500/7330] lr: 1.000e-05, eta: 2:58:40, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0283, loss_cls: 0.1363, acc: 94.8694, loss_bbox: 0.1873, loss_mask: 0.1941, loss: 0.5641 2023-11-15 04:51:34,906 - mmdet - INFO - Epoch [31][2550/7330] lr: 1.000e-05, eta: 2:58:27, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0288, loss_cls: 0.1377, acc: 94.8354, loss_bbox: 0.1877, loss_mask: 0.1986, loss: 0.5702 2023-11-15 04:51:47,835 - mmdet - INFO - Epoch [31][2600/7330] lr: 1.000e-05, eta: 2:58:14, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0289, loss_cls: 0.1284, acc: 95.1055, loss_bbox: 0.1777, loss_mask: 0.1960, loss: 0.5491 2023-11-15 04:52:00,822 - mmdet - INFO - Epoch [31][2650/7330] lr: 1.000e-05, eta: 2:58:01, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0299, loss_cls: 0.1340, acc: 94.8953, loss_bbox: 0.1834, loss_mask: 0.1952, loss: 0.5620 2023-11-15 04:52:13,811 - mmdet - INFO - Epoch [31][2700/7330] lr: 1.000e-05, eta: 2:57:48, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0296, loss_cls: 0.1355, acc: 94.8369, loss_bbox: 0.1908, loss_mask: 0.2012, loss: 0.5743 2023-11-15 04:52:26,660 - mmdet - INFO - Epoch [31][2750/7330] lr: 1.000e-05, eta: 2:57:35, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0283, loss_cls: 0.1259, acc: 95.2285, loss_bbox: 0.1784, loss_mask: 0.1944, loss: 0.5427 2023-11-15 04:52:39,211 - mmdet - INFO - Epoch [31][2800/7330] lr: 1.000e-05, eta: 2:57:22, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0278, loss_cls: 0.1257, acc: 95.2563, loss_bbox: 0.1766, loss_mask: 0.1909, loss: 0.5371 2023-11-15 04:52:51,759 - mmdet - INFO - Epoch [31][2850/7330] lr: 1.000e-05, eta: 2:57:09, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1290, acc: 95.1101, loss_bbox: 0.1797, loss_mask: 0.1930, loss: 0.5448 2023-11-15 04:53:04,534 - mmdet - INFO - Epoch [31][2900/7330] lr: 1.000e-05, eta: 2:56:56, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0299, loss_cls: 0.1336, acc: 94.9634, loss_bbox: 0.1841, loss_mask: 0.1944, loss: 0.5603 2023-11-15 04:53:17,390 - mmdet - INFO - Epoch [31][2950/7330] lr: 1.000e-05, eta: 2:56:43, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0285, loss_cls: 0.1296, acc: 95.1331, loss_bbox: 0.1816, loss_mask: 0.1927, loss: 0.5498 2023-11-15 04:53:30,347 - mmdet - INFO - Epoch [31][3000/7330] lr: 1.000e-05, eta: 2:56:30, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0287, loss_cls: 0.1290, acc: 95.0725, loss_bbox: 0.1797, loss_mask: 0.1928, loss: 0.5456 2023-11-15 04:53:43,396 - mmdet - INFO - Epoch [31][3050/7330] lr: 1.000e-05, eta: 2:56:17, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0287, loss_cls: 0.1342, acc: 94.9839, loss_bbox: 0.1824, loss_mask: 0.2001, loss: 0.5623 2023-11-15 04:53:55,942 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 04:53:55,943 - mmdet - INFO - Epoch [31][3100/7330] lr: 1.000e-05, eta: 2:56:04, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0282, loss_cls: 0.1327, acc: 95.0388, loss_bbox: 0.1836, loss_mask: 0.1916, loss: 0.5535 2023-11-15 04:54:08,851 - mmdet - INFO - Epoch [31][3150/7330] lr: 1.000e-05, eta: 2:55:51, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0284, loss_cls: 0.1297, acc: 95.1125, loss_bbox: 0.1825, loss_mask: 0.1953, loss: 0.5525 2023-11-15 04:54:21,696 - mmdet - INFO - Epoch [31][3200/7330] lr: 1.000e-05, eta: 2:55:38, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0287, loss_cls: 0.1325, acc: 95.0054, loss_bbox: 0.1829, loss_mask: 0.1949, loss: 0.5571 2023-11-15 04:54:34,575 - mmdet - INFO - Epoch [31][3250/7330] lr: 1.000e-05, eta: 2:55:26, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0306, loss_cls: 0.1333, acc: 94.9436, loss_bbox: 0.1868, loss_mask: 0.1971, loss: 0.5675 2023-11-15 04:54:47,631 - mmdet - INFO - Epoch [31][3300/7330] lr: 1.000e-05, eta: 2:55:13, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0305, loss_cls: 0.1385, acc: 94.7944, loss_bbox: 0.1865, loss_mask: 0.1952, loss: 0.5700 2023-11-15 04:55:03,088 - mmdet - INFO - Epoch [31][3350/7330] lr: 1.000e-05, eta: 2:55:00, time: 0.309, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0275, loss_cls: 0.1361, acc: 94.8533, loss_bbox: 0.1852, loss_mask: 0.1976, loss: 0.5639 2023-11-15 04:55:15,727 - mmdet - INFO - Epoch [31][3400/7330] lr: 1.000e-05, eta: 2:54:47, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0269, loss_cls: 0.1256, acc: 95.2568, loss_bbox: 0.1728, loss_mask: 0.1951, loss: 0.5381 2023-11-15 04:55:28,582 - mmdet - INFO - Epoch [31][3450/7330] lr: 1.000e-05, eta: 2:54:34, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0290, loss_cls: 0.1362, acc: 94.8303, loss_bbox: 0.1877, loss_mask: 0.1971, loss: 0.5685 2023-11-15 04:55:41,301 - mmdet - INFO - Epoch [31][3500/7330] lr: 1.000e-05, eta: 2:54:21, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0282, loss_cls: 0.1307, acc: 95.0581, loss_bbox: 0.1846, loss_mask: 0.1943, loss: 0.5540 2023-11-15 04:55:54,093 - mmdet - INFO - Epoch [31][3550/7330] lr: 1.000e-05, eta: 2:54:08, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0287, loss_cls: 0.1351, acc: 94.8828, loss_bbox: 0.1874, loss_mask: 0.1938, loss: 0.5627 2023-11-15 04:56:07,031 - mmdet - INFO - Epoch [31][3600/7330] lr: 1.000e-05, eta: 2:53:55, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1344, acc: 94.9126, loss_bbox: 0.1818, loss_mask: 0.1965, loss: 0.5563 2023-11-15 04:56:19,683 - mmdet - INFO - Epoch [31][3650/7330] lr: 1.000e-05, eta: 2:53:42, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0281, loss_cls: 0.1301, acc: 95.0334, loss_bbox: 0.1812, loss_mask: 0.1904, loss: 0.5454 2023-11-15 04:56:32,485 - mmdet - INFO - Epoch [31][3700/7330] lr: 1.000e-05, eta: 2:53:30, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0292, loss_cls: 0.1376, acc: 94.7883, loss_bbox: 0.1888, loss_mask: 0.1960, loss: 0.5710 2023-11-15 04:56:45,336 - mmdet - INFO - Epoch [31][3750/7330] lr: 1.000e-05, eta: 2:53:17, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0260, loss_cls: 0.1270, acc: 95.2478, loss_bbox: 0.1738, loss_mask: 0.1917, loss: 0.5346 2023-11-15 04:56:58,157 - mmdet - INFO - Epoch [31][3800/7330] lr: 1.000e-05, eta: 2:53:04, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0291, loss_cls: 0.1378, acc: 94.7883, loss_bbox: 0.1899, loss_mask: 0.1957, loss: 0.5712 2023-11-15 04:57:10,846 - mmdet - INFO - Epoch [31][3850/7330] lr: 1.000e-05, eta: 2:52:51, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0248, loss_cls: 0.1248, acc: 95.3916, loss_bbox: 0.1711, loss_mask: 0.1878, loss: 0.5235 2023-11-15 04:57:24,248 - mmdet - INFO - Epoch [31][3900/7330] lr: 1.000e-05, eta: 2:52:38, time: 0.268, data_time: 0.027, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0254, loss_cls: 0.1239, acc: 95.3691, loss_bbox: 0.1699, loss_mask: 0.1859, loss: 0.5226 2023-11-15 04:57:37,802 - mmdet - INFO - Epoch [31][3950/7330] lr: 1.000e-05, eta: 2:52:25, time: 0.271, data_time: 0.028, memory: 4734, loss_rpn_cls: 0.0141, loss_rpn_bbox: 0.0264, loss_cls: 0.1295, acc: 95.0581, loss_bbox: 0.1792, loss_mask: 0.1900, loss: 0.5392 2023-11-15 04:57:50,240 - mmdet - INFO - Epoch [31][4000/7330] lr: 1.000e-05, eta: 2:52:12, time: 0.249, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0275, loss_cls: 0.1326, acc: 95.0562, loss_bbox: 0.1803, loss_mask: 0.1951, loss: 0.5533 2023-11-15 04:58:02,864 - mmdet - INFO - Epoch [31][4050/7330] lr: 1.000e-05, eta: 2:51:59, time: 0.252, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1320, acc: 95.0510, loss_bbox: 0.1821, loss_mask: 0.1919, loss: 0.5521 2023-11-15 04:58:15,727 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 04:58:15,727 - mmdet - INFO - Epoch [31][4100/7330] lr: 1.000e-05, eta: 2:51:46, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0282, loss_cls: 0.1337, acc: 95.0242, loss_bbox: 0.1833, loss_mask: 0.1937, loss: 0.5555 2023-11-15 04:58:28,446 - mmdet - INFO - Epoch [31][4150/7330] lr: 1.000e-05, eta: 2:51:33, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0278, loss_cls: 0.1373, acc: 94.8218, loss_bbox: 0.1879, loss_mask: 0.1959, loss: 0.5665 2023-11-15 04:58:41,199 - mmdet - INFO - Epoch [31][4200/7330] lr: 1.000e-05, eta: 2:51:20, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0279, loss_cls: 0.1316, acc: 95.1079, loss_bbox: 0.1768, loss_mask: 0.1894, loss: 0.5433 2023-11-15 04:58:53,698 - mmdet - INFO - Epoch [31][4250/7330] lr: 1.000e-05, eta: 2:51:07, time: 0.250, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0281, loss_cls: 0.1324, acc: 94.9924, loss_bbox: 0.1838, loss_mask: 0.1918, loss: 0.5526 2023-11-15 04:59:06,454 - mmdet - INFO - Epoch [31][4300/7330] lr: 1.000e-05, eta: 2:50:54, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0279, loss_cls: 0.1360, acc: 94.9253, loss_bbox: 0.1837, loss_mask: 0.1944, loss: 0.5598 2023-11-15 04:59:19,625 - mmdet - INFO - Epoch [31][4350/7330] lr: 1.000e-05, eta: 2:50:41, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0302, loss_cls: 0.1397, acc: 94.7617, loss_bbox: 0.1903, loss_mask: 0.1977, loss: 0.5767 2023-11-15 04:59:32,846 - mmdet - INFO - Epoch [31][4400/7330] lr: 1.000e-05, eta: 2:50:29, time: 0.264, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0311, loss_cls: 0.1406, acc: 94.7205, loss_bbox: 0.1858, loss_mask: 0.1932, loss: 0.5692 2023-11-15 04:59:46,138 - mmdet - INFO - Epoch [31][4450/7330] lr: 1.000e-05, eta: 2:50:16, time: 0.266, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0211, loss_rpn_bbox: 0.0302, loss_cls: 0.1370, acc: 94.9392, loss_bbox: 0.1839, loss_mask: 0.1957, loss: 0.5678 2023-11-15 04:59:58,980 - mmdet - INFO - Epoch [31][4500/7330] lr: 1.000e-05, eta: 2:50:03, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0285, loss_cls: 0.1308, acc: 95.0508, loss_bbox: 0.1830, loss_mask: 0.1961, loss: 0.5563 2023-11-15 05:00:11,993 - mmdet - INFO - Epoch [31][4550/7330] lr: 1.000e-05, eta: 2:49:50, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0280, loss_cls: 0.1283, acc: 95.0605, loss_bbox: 0.1790, loss_mask: 0.1919, loss: 0.5439 2023-11-15 05:00:25,105 - mmdet - INFO - Epoch [31][4600/7330] lr: 1.000e-05, eta: 2:49:37, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0287, loss_cls: 0.1344, acc: 94.9263, loss_bbox: 0.1879, loss_mask: 0.1974, loss: 0.5650 2023-11-15 05:00:38,197 - mmdet - INFO - Epoch [31][4650/7330] lr: 1.000e-05, eta: 2:49:24, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0268, loss_cls: 0.1308, acc: 95.0977, loss_bbox: 0.1786, loss_mask: 0.1932, loss: 0.5454 2023-11-15 05:00:51,173 - mmdet - INFO - Epoch [31][4700/7330] lr: 1.000e-05, eta: 2:49:11, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0282, loss_cls: 0.1289, acc: 95.1492, loss_bbox: 0.1764, loss_mask: 0.1940, loss: 0.5446 2023-11-15 05:01:04,210 - mmdet - INFO - Epoch [31][4750/7330] lr: 1.000e-05, eta: 2:48:58, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0289, loss_cls: 0.1338, acc: 94.9360, loss_bbox: 0.1800, loss_mask: 0.1901, loss: 0.5495 2023-11-15 05:01:17,118 - mmdet - INFO - Epoch [31][4800/7330] lr: 1.000e-05, eta: 2:48:45, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0290, loss_cls: 0.1346, acc: 94.9583, loss_bbox: 0.1823, loss_mask: 0.1944, loss: 0.5577 2023-11-15 05:01:30,158 - mmdet - INFO - Epoch [31][4850/7330] lr: 1.000e-05, eta: 2:48:32, time: 0.261, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0272, loss_cls: 0.1291, acc: 95.0688, loss_bbox: 0.1815, loss_mask: 0.1932, loss: 0.5470 2023-11-15 05:01:43,188 - mmdet - INFO - Epoch [31][4900/7330] lr: 1.000e-05, eta: 2:48:19, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0274, loss_cls: 0.1278, acc: 95.1978, loss_bbox: 0.1801, loss_mask: 0.1913, loss: 0.5435 2023-11-15 05:01:56,040 - mmdet - INFO - Epoch [31][4950/7330] lr: 1.000e-05, eta: 2:48:07, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0271, loss_cls: 0.1285, acc: 95.2151, loss_bbox: 0.1787, loss_mask: 0.1932, loss: 0.5429 2023-11-15 05:02:08,703 - mmdet - INFO - Epoch [31][5000/7330] lr: 1.000e-05, eta: 2:47:54, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0262, loss_cls: 0.1239, acc: 95.2981, loss_bbox: 0.1744, loss_mask: 0.1902, loss: 0.5306 2023-11-15 05:02:21,659 - mmdet - INFO - Epoch [31][5050/7330] lr: 1.000e-05, eta: 2:47:41, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0278, loss_cls: 0.1308, acc: 95.0991, loss_bbox: 0.1793, loss_mask: 0.1953, loss: 0.5496 2023-11-15 05:02:34,670 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 05:02:34,670 - mmdet - INFO - Epoch [31][5100/7330] lr: 1.000e-05, eta: 2:47:28, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0280, loss_cls: 0.1366, acc: 94.9680, loss_bbox: 0.1840, loss_mask: 0.1955, loss: 0.5629 2023-11-15 05:02:47,495 - mmdet - INFO - Epoch [31][5150/7330] lr: 1.000e-05, eta: 2:47:15, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0257, loss_cls: 0.1243, acc: 95.3406, loss_bbox: 0.1747, loss_mask: 0.1922, loss: 0.5327 2023-11-15 05:03:00,563 - mmdet - INFO - Epoch [31][5200/7330] lr: 1.000e-05, eta: 2:47:02, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0294, loss_cls: 0.1316, acc: 94.9033, loss_bbox: 0.1870, loss_mask: 0.1952, loss: 0.5615 2023-11-15 05:03:13,385 - mmdet - INFO - Epoch [31][5250/7330] lr: 1.000e-05, eta: 2:46:49, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0303, loss_cls: 0.1312, acc: 95.0728, loss_bbox: 0.1849, loss_mask: 0.1970, loss: 0.5612 2023-11-15 05:03:26,458 - mmdet - INFO - Epoch [31][5300/7330] lr: 1.000e-05, eta: 2:46:36, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0290, loss_cls: 0.1350, acc: 94.9932, loss_bbox: 0.1876, loss_mask: 0.1950, loss: 0.5638 2023-11-15 05:03:39,419 - mmdet - INFO - Epoch [31][5350/7330] lr: 1.000e-05, eta: 2:46:23, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0292, loss_cls: 0.1321, acc: 94.9495, loss_bbox: 0.1870, loss_mask: 0.1929, loss: 0.5597 2023-11-15 05:03:52,551 - mmdet - INFO - Epoch [31][5400/7330] lr: 1.000e-05, eta: 2:46:10, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0286, loss_cls: 0.1337, acc: 94.9250, loss_bbox: 0.1828, loss_mask: 0.1901, loss: 0.5533 2023-11-15 05:04:05,711 - mmdet - INFO - Epoch [31][5450/7330] lr: 1.000e-05, eta: 2:45:57, time: 0.263, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0293, loss_cls: 0.1312, acc: 95.0378, loss_bbox: 0.1847, loss_mask: 0.1927, loss: 0.5545 2023-11-15 05:04:18,557 - mmdet - INFO - Epoch [31][5500/7330] lr: 1.000e-05, eta: 2:45:44, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0276, loss_cls: 0.1325, acc: 95.0261, loss_bbox: 0.1830, loss_mask: 0.1933, loss: 0.5545 2023-11-15 05:04:31,584 - mmdet - INFO - Epoch [31][5550/7330] lr: 1.000e-05, eta: 2:45:32, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0283, loss_cls: 0.1352, acc: 94.8979, loss_bbox: 0.1854, loss_mask: 0.1894, loss: 0.5557 2023-11-15 05:04:45,109 - mmdet - INFO - Epoch [31][5600/7330] lr: 1.000e-05, eta: 2:45:19, time: 0.271, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0289, loss_cls: 0.1382, acc: 94.8259, loss_bbox: 0.1904, loss_mask: 0.1977, loss: 0.5737 2023-11-15 05:04:58,024 - mmdet - INFO - Epoch [31][5650/7330] lr: 1.000e-05, eta: 2:45:06, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0280, loss_cls: 0.1280, acc: 95.1536, loss_bbox: 0.1766, loss_mask: 0.1911, loss: 0.5397 2023-11-15 05:05:10,857 - mmdet - INFO - Epoch [31][5700/7330] lr: 1.000e-05, eta: 2:44:53, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0275, loss_cls: 0.1281, acc: 95.1729, loss_bbox: 0.1797, loss_mask: 0.1936, loss: 0.5443 2023-11-15 05:05:23,352 - mmdet - INFO - Epoch [31][5750/7330] lr: 1.000e-05, eta: 2:44:40, time: 0.250, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0248, loss_cls: 0.1193, acc: 95.5310, loss_bbox: 0.1716, loss_mask: 0.1885, loss: 0.5197 2023-11-15 05:05:36,252 - mmdet - INFO - Epoch [31][5800/7330] lr: 1.000e-05, eta: 2:44:27, time: 0.258, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0296, loss_cls: 0.1314, acc: 95.0562, loss_bbox: 0.1827, loss_mask: 0.1934, loss: 0.5551 2023-11-15 05:05:48,812 - mmdet - INFO - Epoch [31][5850/7330] lr: 1.000e-05, eta: 2:44:14, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0287, loss_cls: 0.1309, acc: 95.0691, loss_bbox: 0.1806, loss_mask: 0.1906, loss: 0.5475 2023-11-15 05:06:01,750 - mmdet - INFO - Epoch [31][5900/7330] lr: 1.000e-05, eta: 2:44:01, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0293, loss_cls: 0.1326, acc: 94.9434, loss_bbox: 0.1844, loss_mask: 0.1957, loss: 0.5596 2023-11-15 05:06:14,659 - mmdet - INFO - Epoch [31][5950/7330] lr: 1.000e-05, eta: 2:43:48, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0295, loss_cls: 0.1349, acc: 94.9736, loss_bbox: 0.1849, loss_mask: 0.1930, loss: 0.5612 2023-11-15 05:06:30,330 - mmdet - INFO - Epoch [31][6000/7330] lr: 1.000e-05, eta: 2:43:36, time: 0.313, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0295, loss_cls: 0.1291, acc: 95.0559, loss_bbox: 0.1781, loss_mask: 0.1916, loss: 0.5468 2023-11-15 05:06:43,213 - mmdet - INFO - Epoch [31][6050/7330] lr: 1.000e-05, eta: 2:43:23, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0288, loss_cls: 0.1344, acc: 94.8870, loss_bbox: 0.1894, loss_mask: 0.1964, loss: 0.5660 2023-11-15 05:06:55,853 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 05:06:55,853 - mmdet - INFO - Epoch [31][6100/7330] lr: 1.000e-05, eta: 2:43:10, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0277, loss_cls: 0.1313, acc: 95.0928, loss_bbox: 0.1787, loss_mask: 0.1942, loss: 0.5491 2023-11-15 05:07:08,805 - mmdet - INFO - Epoch [31][6150/7330] lr: 1.000e-05, eta: 2:42:57, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0278, loss_cls: 0.1328, acc: 94.9978, loss_bbox: 0.1832, loss_mask: 0.1962, loss: 0.5563 2023-11-15 05:07:21,486 - mmdet - INFO - Epoch [31][6200/7330] lr: 1.000e-05, eta: 2:42:44, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0287, loss_cls: 0.1354, acc: 94.8655, loss_bbox: 0.1866, loss_mask: 0.1989, loss: 0.5679 2023-11-15 05:07:34,493 - mmdet - INFO - Epoch [31][6250/7330] lr: 1.000e-05, eta: 2:42:31, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0265, loss_cls: 0.1293, acc: 95.1387, loss_bbox: 0.1786, loss_mask: 0.1949, loss: 0.5467 2023-11-15 05:07:47,244 - mmdet - INFO - Epoch [31][6300/7330] lr: 1.000e-05, eta: 2:42:18, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0261, loss_cls: 0.1254, acc: 95.2961, loss_bbox: 0.1731, loss_mask: 0.1881, loss: 0.5303 2023-11-15 05:08:00,234 - mmdet - INFO - Epoch [31][6350/7330] lr: 1.000e-05, eta: 2:42:05, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0291, loss_cls: 0.1336, acc: 94.8770, loss_bbox: 0.1842, loss_mask: 0.1940, loss: 0.5587 2023-11-15 05:08:13,045 - mmdet - INFO - Epoch [31][6400/7330] lr: 1.000e-05, eta: 2:41:52, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0255, loss_cls: 0.1253, acc: 95.3086, loss_bbox: 0.1718, loss_mask: 0.1896, loss: 0.5284 2023-11-15 05:08:26,062 - mmdet - INFO - Epoch [31][6450/7330] lr: 1.000e-05, eta: 2:41:39, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0291, loss_cls: 0.1327, acc: 94.9126, loss_bbox: 0.1819, loss_mask: 0.1949, loss: 0.5554 2023-11-15 05:08:39,275 - mmdet - INFO - Epoch [31][6500/7330] lr: 1.000e-05, eta: 2:41:26, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0290, loss_cls: 0.1367, acc: 94.8582, loss_bbox: 0.1847, loss_mask: 0.1918, loss: 0.5606 2023-11-15 05:08:52,615 - mmdet - INFO - Epoch [31][6550/7330] lr: 1.000e-05, eta: 2:41:14, time: 0.267, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0269, loss_cls: 0.1305, acc: 95.0742, loss_bbox: 0.1788, loss_mask: 0.1935, loss: 0.5462 2023-11-15 05:09:05,505 - mmdet - INFO - Epoch [31][6600/7330] lr: 1.000e-05, eta: 2:41:01, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0196, loss_rpn_bbox: 0.0301, loss_cls: 0.1352, acc: 94.8623, loss_bbox: 0.1884, loss_mask: 0.1961, loss: 0.5693 2023-11-15 05:09:18,274 - mmdet - INFO - Epoch [31][6650/7330] lr: 1.000e-05, eta: 2:40:48, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1319, acc: 94.9778, loss_bbox: 0.1796, loss_mask: 0.1964, loss: 0.5540 2023-11-15 05:09:31,132 - mmdet - INFO - Epoch [31][6700/7330] lr: 1.000e-05, eta: 2:40:35, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0275, loss_cls: 0.1268, acc: 95.2300, loss_bbox: 0.1768, loss_mask: 0.1942, loss: 0.5421 2023-11-15 05:09:43,935 - mmdet - INFO - Epoch [31][6750/7330] lr: 1.000e-05, eta: 2:40:22, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1334, acc: 94.9858, loss_bbox: 0.1892, loss_mask: 0.1990, loss: 0.5685 2023-11-15 05:09:56,729 - mmdet - INFO - Epoch [31][6800/7330] lr: 1.000e-05, eta: 2:40:09, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0258, loss_cls: 0.1249, acc: 95.2043, loss_bbox: 0.1767, loss_mask: 0.1872, loss: 0.5301 2023-11-15 05:10:09,606 - mmdet - INFO - Epoch [31][6850/7330] lr: 1.000e-05, eta: 2:39:56, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0276, loss_cls: 0.1305, acc: 95.1233, loss_bbox: 0.1771, loss_mask: 0.1944, loss: 0.5457 2023-11-15 05:10:22,577 - mmdet - INFO - Epoch [31][6900/7330] lr: 1.000e-05, eta: 2:39:43, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0202, loss_rpn_bbox: 0.0310, loss_cls: 0.1406, acc: 94.6565, loss_bbox: 0.1917, loss_mask: 0.2032, loss: 0.5867 2023-11-15 05:10:35,319 - mmdet - INFO - Epoch [31][6950/7330] lr: 1.000e-05, eta: 2:39:30, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0278, loss_cls: 0.1299, acc: 95.1462, loss_bbox: 0.1793, loss_mask: 0.1920, loss: 0.5450 2023-11-15 05:10:48,404 - mmdet - INFO - Epoch [31][7000/7330] lr: 1.000e-05, eta: 2:39:17, time: 0.262, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0301, loss_cls: 0.1316, acc: 94.9373, loss_bbox: 0.1869, loss_mask: 0.1949, loss: 0.5627 2023-11-15 05:11:01,173 - mmdet - INFO - Epoch [31][7050/7330] lr: 1.000e-05, eta: 2:39:04, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0272, loss_cls: 0.1289, acc: 95.2014, loss_bbox: 0.1789, loss_mask: 0.1969, loss: 0.5485 2023-11-15 05:11:13,996 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 05:11:13,996 - mmdet - INFO - Epoch [31][7100/7330] lr: 1.000e-05, eta: 2:38:51, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0266, loss_cls: 0.1335, acc: 95.0708, loss_bbox: 0.1831, loss_mask: 0.1964, loss: 0.5562 2023-11-15 05:11:26,905 - mmdet - INFO - Epoch [31][7150/7330] lr: 1.000e-05, eta: 2:38:38, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0288, loss_cls: 0.1338, acc: 94.9395, loss_bbox: 0.1864, loss_mask: 0.1947, loss: 0.5602 2023-11-15 05:11:40,020 - mmdet - INFO - Epoch [31][7200/7330] lr: 1.000e-05, eta: 2:38:25, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0275, loss_cls: 0.1266, acc: 95.1338, loss_bbox: 0.1769, loss_mask: 0.1915, loss: 0.5380 2023-11-15 05:11:52,961 - mmdet - INFO - Epoch [31][7250/7330] lr: 1.000e-05, eta: 2:38:13, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0290, loss_cls: 0.1336, acc: 94.9521, loss_bbox: 0.1826, loss_mask: 0.2003, loss: 0.5626 2023-11-15 05:12:05,697 - mmdet - INFO - Epoch [31][7300/7330] lr: 1.000e-05, eta: 2:38:00, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0242, loss_cls: 0.1197, acc: 95.5339, loss_bbox: 0.1711, loss_mask: 0.1905, loss: 0.5209 2023-11-15 05:12:13,886 - mmdet - INFO - Saving checkpoint at 31 epochs 2023-11-15 05:12:56,327 - mmdet - INFO - Evaluating bbox... 2023-11-15 05:13:22,317 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.494 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.707 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.540 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.339 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.529 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 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.447 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.640 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.753 2023-11-15 05:13:22,320 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.597 | bicycle | 0.391 | car | 0.504 | | motorcycle | 0.516 | airplane | 0.711 | bus | 0.708 | | train | 0.695 | truck | 0.441 | boat | 0.340 | | traffic light | 0.316 | fire hydrant | 0.738 | stop sign | 0.723 | | parking meter | 0.527 | bench | 0.312 | bird | 0.430 | | cat | 0.741 | dog | 0.711 | horse | 0.655 | | sheep | 0.611 | cow | 0.638 | elephant | 0.707 | | bear | 0.781 | zebra | 0.693 | giraffe | 0.722 | | backpack | 0.234 | umbrella | 0.464 | handbag | 0.249 | | tie | 0.419 | suitcase | 0.504 | frisbee | 0.704 | | skis | 0.326 | snowboard | 0.446 | sports ball | 0.478 | | kite | 0.466 | baseball bat | 0.417 | baseball glove | 0.459 | | skateboard | 0.591 | surfboard | 0.475 | tennis racket | 0.566 | | bottle | 0.465 | wine glass | 0.430 | cup | 0.499 | | fork | 0.499 | knife | 0.308 | spoon | 0.320 | | bowl | 0.468 | banana | 0.301 | apple | 0.285 | | sandwich | 0.430 | orange | 0.356 | broccoli | 0.255 | | carrot | 0.246 | hot dog | 0.441 | pizza | 0.570 | | donut | 0.562 | cake | 0.447 | chair | 0.374 | | couch | 0.501 | potted plant | 0.355 | bed | 0.480 | | dining table | 0.326 | toilet | 0.647 | tv | 0.646 | | laptop | 0.698 | mouse | 0.665 | remote | 0.455 | | keyboard | 0.574 | cell phone | 0.459 | microwave | 0.672 | | oven | 0.417 | toaster | 0.555 | sink | 0.462 | | refrigerator | 0.673 | book | 0.210 | clock | 0.520 | | vase | 0.419 | scissors | 0.463 | teddy bear | 0.531 | | hair drier | 0.156 | toothbrush | 0.356 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 05:13:22,320 - mmdet - INFO - Evaluating segm... 2023-11-15 05:13:52,508 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.440 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.678 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.472 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.254 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 ] = 0.625 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 ] = 0.383 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 ] = 0.705 2023-11-15 05:13:52,510 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.515 | bicycle | 0.245 | car | 0.461 | | motorcycle | 0.412 | airplane | 0.551 | bus | 0.693 | | train | 0.683 | truck | 0.425 | boat | 0.306 | | traffic light | 0.304 | fire hydrant | 0.686 | stop sign | 0.690 | | parking meter | 0.540 | bench | 0.232 | bird | 0.356 | | cat | 0.722 | dog | 0.668 | horse | 0.492 | | sheep | 0.539 | cow | 0.551 | elephant | 0.636 | | bear | 0.759 | zebra | 0.594 | giraffe | 0.570 | | backpack | 0.238 | umbrella | 0.518 | handbag | 0.233 | | tie | 0.375 | suitcase | 0.513 | frisbee | 0.649 | | skis | 0.067 | snowboard | 0.299 | sports ball | 0.459 | | kite | 0.327 | baseball bat | 0.320 | baseball glove | 0.473 | | skateboard | 0.396 | surfboard | 0.397 | tennis racket | 0.599 | | bottle | 0.438 | wine glass | 0.389 | cup | 0.496 | | fork | 0.251 | knife | 0.209 | spoon | 0.228 | | bowl | 0.428 | banana | 0.241 | apple | 0.277 | | sandwich | 0.459 | orange | 0.349 | broccoli | 0.234 | | carrot | 0.214 | hot dog | 0.362 | pizza | 0.546 | | donut | 0.560 | cake | 0.452 | chair | 0.267 | | couch | 0.412 | potted plant | 0.300 | bed | 0.391 | | dining table | 0.196 | toilet | 0.617 | tv | 0.672 | | laptop | 0.689 | mouse | 0.646 | remote | 0.399 | | keyboard | 0.561 | cell phone | 0.435 | microwave | 0.680 | | oven | 0.377 | toaster | 0.529 | sink | 0.427 | | refrigerator | 0.662 | book | 0.156 | clock | 0.510 | | vase | 0.403 | scissors | 0.355 | teddy bear | 0.510 | | hair drier | 0.145 | toothbrush | 0.245 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 05:13:52,861 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 05:13:52,861 - mmdet - INFO - Epoch(val) [31][625] bbox_mAP: 0.4937, bbox_mAP_50: 0.7071, bbox_mAP_75: 0.5401, bbox_mAP_s: 0.3392, bbox_mAP_m: 0.5285, bbox_mAP_l: 0.6419, bbox_mAP_copypaste: 0.4937 0.7071 0.5401 0.3392 0.5285 0.6419, segm_mAP: 0.4401, segm_mAP_50: 0.6784, segm_mAP_75: 0.4724, segm_mAP_s: 0.2543, segm_mAP_m: 0.4718, segm_mAP_l: 0.6251, segm_mAP_copypaste: 0.4401 0.6784 0.4724 0.2543 0.4718 0.6251 2023-11-15 05:14:09,388 - mmdet - INFO - Epoch [32][50/7330] lr: 1.000e-05, eta: 2:37:38, time: 0.330, data_time: 0.078, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0281, loss_cls: 0.1309, acc: 95.1340, loss_bbox: 0.1808, loss_mask: 0.1918, loss: 0.5480 2023-11-15 05:14:22,835 - mmdet - INFO - Epoch [32][100/7330] lr: 1.000e-05, eta: 2:37:25, time: 0.269, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0273, loss_cls: 0.1243, acc: 95.2927, loss_bbox: 0.1760, loss_mask: 0.1909, loss: 0.5329 2023-11-15 05:14:36,362 - mmdet - INFO - Epoch [32][150/7330] lr: 1.000e-05, eta: 2:37:13, time: 0.270, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0287, loss_cls: 0.1336, acc: 94.9551, loss_bbox: 0.1865, loss_mask: 0.1935, loss: 0.5603 2023-11-15 05:14:49,512 - mmdet - INFO - Epoch [32][200/7330] lr: 1.000e-05, eta: 2:37:00, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0284, loss_cls: 0.1278, acc: 95.1792, loss_bbox: 0.1813, loss_mask: 0.1938, loss: 0.5483 2023-11-15 05:15:02,830 - mmdet - INFO - Epoch [32][250/7330] lr: 1.000e-05, eta: 2:36:47, time: 0.266, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0297, loss_cls: 0.1333, acc: 94.9043, loss_bbox: 0.1837, loss_mask: 0.1935, loss: 0.5584 2023-11-15 05:15:16,049 - mmdet - INFO - Epoch [32][300/7330] lr: 1.000e-05, eta: 2:36:34, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0271, loss_cls: 0.1231, acc: 95.2297, loss_bbox: 0.1767, loss_mask: 0.1940, loss: 0.5363 2023-11-15 05:15:29,421 - mmdet - INFO - Epoch [32][350/7330] lr: 1.000e-05, eta: 2:36:21, time: 0.267, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0285, loss_cls: 0.1360, acc: 94.9392, loss_bbox: 0.1855, loss_mask: 0.1960, loss: 0.5655 2023-11-15 05:15:42,331 - mmdet - INFO - Epoch [32][400/7330] lr: 1.000e-05, eta: 2:36:08, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0289, loss_cls: 0.1276, acc: 95.1548, loss_bbox: 0.1822, loss_mask: 0.1961, loss: 0.5514 2023-11-15 05:15:55,329 - mmdet - INFO - Epoch [32][450/7330] lr: 1.000e-05, eta: 2:35:55, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0269, loss_cls: 0.1327, acc: 95.0481, loss_bbox: 0.1785, loss_mask: 0.1956, loss: 0.5502 2023-11-15 05:16:08,422 - mmdet - INFO - Epoch [32][500/7330] lr: 1.000e-05, eta: 2:35:42, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0276, loss_cls: 0.1282, acc: 95.1960, loss_bbox: 0.1797, loss_mask: 0.1902, loss: 0.5416 2023-11-15 05:16:21,567 - mmdet - INFO - Epoch [32][550/7330] lr: 1.000e-05, eta: 2:35:29, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0270, loss_cls: 0.1284, acc: 95.1802, loss_bbox: 0.1791, loss_mask: 0.1968, loss: 0.5485 2023-11-15 05:16:34,899 - mmdet - INFO - Epoch [32][600/7330] lr: 1.000e-05, eta: 2:35:17, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0297, loss_cls: 0.1313, acc: 95.0837, loss_bbox: 0.1828, loss_mask: 0.1938, loss: 0.5554 2023-11-15 05:16:47,953 - mmdet - INFO - Epoch [32][650/7330] lr: 1.000e-05, eta: 2:35:04, time: 0.261, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0296, loss_cls: 0.1332, acc: 94.9250, loss_bbox: 0.1834, loss_mask: 0.1945, loss: 0.5577 2023-11-15 05:17:01,021 - mmdet - INFO - Epoch [32][700/7330] lr: 1.000e-05, eta: 2:34:51, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0294, loss_cls: 0.1305, acc: 95.0371, loss_bbox: 0.1791, loss_mask: 0.1924, loss: 0.5486 2023-11-15 05:17:13,950 - mmdet - INFO - Epoch [32][750/7330] lr: 1.000e-05, eta: 2:34:38, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0278, loss_cls: 0.1290, acc: 95.1760, loss_bbox: 0.1814, loss_mask: 0.1903, loss: 0.5440 2023-11-15 05:17:27,239 - mmdet - INFO - Epoch [32][800/7330] lr: 1.000e-05, eta: 2:34:25, time: 0.266, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0274, loss_cls: 0.1233, acc: 95.3389, loss_bbox: 0.1737, loss_mask: 0.1884, loss: 0.5291 2023-11-15 05:17:40,345 - mmdet - INFO - Epoch [32][850/7330] lr: 1.000e-05, eta: 2:34:12, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0287, loss_cls: 0.1323, acc: 95.0430, loss_bbox: 0.1811, loss_mask: 0.1946, loss: 0.5542 2023-11-15 05:17:53,253 - mmdet - INFO - Epoch [32][900/7330] lr: 1.000e-05, eta: 2:33:59, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0269, loss_cls: 0.1272, acc: 95.1758, loss_bbox: 0.1769, loss_mask: 0.1868, loss: 0.5353 2023-11-15 05:18:06,082 - mmdet - INFO - Epoch [32][950/7330] lr: 1.000e-05, eta: 2:33:46, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0277, loss_cls: 0.1370, acc: 94.7908, loss_bbox: 0.1870, loss_mask: 0.1970, loss: 0.5649 2023-11-15 05:18:18,963 - mmdet - INFO - Epoch [32][1000/7330] lr: 1.000e-05, eta: 2:33:33, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0305, loss_cls: 0.1385, acc: 94.7815, loss_bbox: 0.1896, loss_mask: 0.1973, loss: 0.5750 2023-11-15 05:18:31,883 - mmdet - INFO - Epoch [32][1050/7330] lr: 1.000e-05, eta: 2:33:20, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0269, loss_cls: 0.1274, acc: 95.2556, loss_bbox: 0.1753, loss_mask: 0.1933, loss: 0.5415 2023-11-15 05:18:45,052 - mmdet - INFO - Epoch [32][1100/7330] lr: 1.000e-05, eta: 2:33:08, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0268, loss_cls: 0.1259, acc: 95.2483, loss_bbox: 0.1750, loss_mask: 0.1888, loss: 0.5340 2023-11-15 05:18:58,157 - mmdet - INFO - Epoch [32][1150/7330] lr: 1.000e-05, eta: 2:32:55, time: 0.262, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0295, loss_cls: 0.1332, acc: 95.0095, loss_bbox: 0.1857, loss_mask: 0.1983, loss: 0.5633 2023-11-15 05:19:11,139 - mmdet - INFO - Epoch [32][1200/7330] lr: 1.000e-05, eta: 2:32:42, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0275, loss_cls: 0.1268, acc: 95.3284, loss_bbox: 0.1743, loss_mask: 0.1884, loss: 0.5335 2023-11-15 05:19:23,969 - mmdet - INFO - Epoch [32][1250/7330] lr: 1.000e-05, eta: 2:32:29, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0273, loss_cls: 0.1259, acc: 95.2063, loss_bbox: 0.1765, loss_mask: 0.1915, loss: 0.5369 2023-11-15 05:19:36,907 - mmdet - INFO - Epoch [32][1300/7330] lr: 1.000e-05, eta: 2:32:16, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0298, loss_cls: 0.1350, acc: 94.9121, loss_bbox: 0.1864, loss_mask: 0.1901, loss: 0.5585 2023-11-15 05:19:49,934 - mmdet - INFO - Epoch [32][1350/7330] lr: 1.000e-05, eta: 2:32:03, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0287, loss_cls: 0.1301, acc: 95.2249, loss_bbox: 0.1782, loss_mask: 0.1919, loss: 0.5474 2023-11-15 05:20:02,886 - mmdet - INFO - Epoch [32][1400/7330] lr: 1.000e-05, eta: 2:31:50, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0270, loss_cls: 0.1288, acc: 95.0774, loss_bbox: 0.1800, loss_mask: 0.1884, loss: 0.5400 2023-11-15 05:20:15,633 - mmdet - INFO - Epoch [32][1450/7330] lr: 1.000e-05, eta: 2:31:37, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0288, loss_cls: 0.1321, acc: 95.0376, loss_bbox: 0.1841, loss_mask: 0.1972, loss: 0.5586 2023-11-15 05:20:29,007 - mmdet - INFO - Epoch [32][1500/7330] lr: 1.000e-05, eta: 2:31:24, time: 0.267, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0301, loss_cls: 0.1366, acc: 94.8486, loss_bbox: 0.1931, loss_mask: 0.1990, loss: 0.5775 2023-11-15 05:20:42,044 - mmdet - INFO - Epoch [32][1550/7330] lr: 1.000e-05, eta: 2:31:11, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0271, loss_cls: 0.1275, acc: 95.2065, loss_bbox: 0.1789, loss_mask: 0.1906, loss: 0.5395 2023-11-15 05:20:55,047 - mmdet - INFO - Epoch [32][1600/7330] lr: 1.000e-05, eta: 2:30:58, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0272, loss_cls: 0.1263, acc: 95.2109, loss_bbox: 0.1787, loss_mask: 0.1923, loss: 0.5420 2023-11-15 05:21:08,004 - mmdet - INFO - Epoch [32][1650/7330] lr: 1.000e-05, eta: 2:30:46, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0271, loss_cls: 0.1263, acc: 95.1846, loss_bbox: 0.1779, loss_mask: 0.1937, loss: 0.5408 2023-11-15 05:21:21,099 - mmdet - INFO - Epoch [32][1700/7330] lr: 1.000e-05, eta: 2:30:33, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0282, loss_cls: 0.1299, acc: 95.0981, loss_bbox: 0.1835, loss_mask: 0.1931, loss: 0.5518 2023-11-15 05:21:34,202 - mmdet - INFO - Epoch [32][1750/7330] lr: 1.000e-05, eta: 2:30:20, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0309, loss_cls: 0.1408, acc: 94.7629, loss_bbox: 0.1934, loss_mask: 0.1935, loss: 0.5766 2023-11-15 05:21:46,998 - mmdet - INFO - Epoch [32][1800/7330] lr: 1.000e-05, eta: 2:30:07, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0270, loss_cls: 0.1302, acc: 95.1624, loss_bbox: 0.1775, loss_mask: 0.1911, loss: 0.5437 2023-11-15 05:21:59,929 - mmdet - INFO - Epoch [32][1850/7330] lr: 1.000e-05, eta: 2:29:54, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0281, loss_cls: 0.1255, acc: 95.2563, loss_bbox: 0.1732, loss_mask: 0.1946, loss: 0.5368 2023-11-15 05:22:12,898 - mmdet - INFO - Epoch [32][1900/7330] lr: 1.000e-05, eta: 2:29:41, time: 0.259, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0274, loss_cls: 0.1342, acc: 94.9543, loss_bbox: 0.1856, loss_mask: 0.1926, loss: 0.5564 2023-11-15 05:22:25,655 - mmdet - INFO - Epoch [32][1950/7330] lr: 1.000e-05, eta: 2:29:28, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0292, loss_cls: 0.1338, acc: 94.9541, loss_bbox: 0.1859, loss_mask: 0.1934, loss: 0.5602 2023-11-15 05:22:38,535 - mmdet - INFO - Epoch [32][2000/7330] lr: 1.000e-05, eta: 2:29:15, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0277, loss_cls: 0.1320, acc: 94.9749, loss_bbox: 0.1845, loss_mask: 0.1928, loss: 0.5534 2023-11-15 05:22:51,852 - mmdet - INFO - Epoch [32][2050/7330] lr: 1.000e-05, eta: 2:29:02, time: 0.266, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0265, loss_cls: 0.1258, acc: 95.2468, loss_bbox: 0.1771, loss_mask: 0.1884, loss: 0.5334 2023-11-15 05:23:04,732 - mmdet - INFO - Epoch [32][2100/7330] lr: 1.000e-05, eta: 2:28:49, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0280, loss_cls: 0.1318, acc: 95.0723, loss_bbox: 0.1806, loss_mask: 0.1899, loss: 0.5478 2023-11-15 05:23:17,598 - mmdet - INFO - Epoch [32][2150/7330] lr: 1.000e-05, eta: 2:28:36, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0269, loss_cls: 0.1264, acc: 95.2534, loss_bbox: 0.1772, loss_mask: 0.1865, loss: 0.5334 2023-11-15 05:23:30,691 - mmdet - INFO - Epoch [32][2200/7330] lr: 1.000e-05, eta: 2:28:23, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0272, loss_cls: 0.1310, acc: 95.0991, loss_bbox: 0.1807, loss_mask: 0.1932, loss: 0.5488 2023-11-15 05:23:43,781 - mmdet - INFO - Epoch [32][2250/7330] lr: 1.000e-05, eta: 2:28:11, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0283, loss_cls: 0.1283, acc: 95.1230, loss_bbox: 0.1778, loss_mask: 0.1914, loss: 0.5427 2023-11-15 05:23:56,654 - mmdet - INFO - Epoch [32][2300/7330] lr: 1.000e-05, eta: 2:27:58, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0271, loss_cls: 0.1298, acc: 95.0347, loss_bbox: 0.1784, loss_mask: 0.2000, loss: 0.5519 2023-11-15 05:24:09,704 - mmdet - INFO - Epoch [32][2350/7330] lr: 1.000e-05, eta: 2:27:45, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1264, acc: 95.2229, loss_bbox: 0.1778, loss_mask: 0.1878, loss: 0.5355 2023-11-15 05:24:22,478 - mmdet - INFO - Epoch [32][2400/7330] lr: 1.000e-05, eta: 2:27:32, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0258, loss_cls: 0.1249, acc: 95.3213, loss_bbox: 0.1716, loss_mask: 0.1844, loss: 0.5226 2023-11-15 05:24:35,398 - mmdet - INFO - Epoch [32][2450/7330] lr: 1.000e-05, eta: 2:27:19, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0264, loss_cls: 0.1277, acc: 95.0762, loss_bbox: 0.1817, loss_mask: 0.1919, loss: 0.5423 2023-11-15 05:24:48,267 - mmdet - INFO - Epoch [32][2500/7330] lr: 1.000e-05, eta: 2:27:06, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0285, loss_cls: 0.1301, acc: 95.0630, loss_bbox: 0.1820, loss_mask: 0.1933, loss: 0.5519 2023-11-15 05:25:00,974 - mmdet - INFO - Epoch [32][2550/7330] lr: 1.000e-05, eta: 2:26:53, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0278, loss_cls: 0.1270, acc: 95.2566, loss_bbox: 0.1752, loss_mask: 0.1886, loss: 0.5346 2023-11-15 05:25:14,089 - mmdet - INFO - Epoch [32][2600/7330] lr: 1.000e-05, eta: 2:26:40, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0292, loss_cls: 0.1321, acc: 95.0247, loss_bbox: 0.1871, loss_mask: 0.1958, loss: 0.5619 2023-11-15 05:25:26,992 - mmdet - INFO - Epoch [32][2650/7330] lr: 1.000e-05, eta: 2:26:27, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0299, loss_cls: 0.1393, acc: 94.7612, loss_bbox: 0.1963, loss_mask: 0.1996, loss: 0.5818 2023-11-15 05:25:39,970 - mmdet - INFO - Epoch [32][2700/7330] lr: 1.000e-05, eta: 2:26:14, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0292, loss_cls: 0.1339, acc: 95.0720, loss_bbox: 0.1782, loss_mask: 0.1913, loss: 0.5502 2023-11-15 05:25:52,801 - mmdet - INFO - Epoch [32][2750/7330] lr: 1.000e-05, eta: 2:26:01, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0268, loss_cls: 0.1258, acc: 95.2483, loss_bbox: 0.1783, loss_mask: 0.1948, loss: 0.5428 2023-11-15 05:26:05,686 - mmdet - INFO - Epoch [32][2800/7330] lr: 1.000e-05, eta: 2:25:48, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0275, loss_cls: 0.1295, acc: 95.0876, loss_bbox: 0.1806, loss_mask: 0.1928, loss: 0.5463 2023-11-15 05:26:18,534 - mmdet - INFO - Epoch [32][2850/7330] lr: 1.000e-05, eta: 2:25:35, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0273, loss_cls: 0.1278, acc: 95.1428, loss_bbox: 0.1774, loss_mask: 0.1918, loss: 0.5404 2023-11-15 05:26:31,311 - mmdet - INFO - Epoch [32][2900/7330] lr: 1.000e-05, eta: 2:25:22, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0265, loss_cls: 0.1291, acc: 95.1541, loss_bbox: 0.1768, loss_mask: 0.1919, loss: 0.5412 2023-11-15 05:26:44,167 - mmdet - INFO - Epoch [32][2950/7330] lr: 1.000e-05, eta: 2:25:10, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0289, loss_cls: 0.1318, acc: 94.9556, loss_bbox: 0.1853, loss_mask: 0.1930, loss: 0.5559 2023-11-15 05:26:57,087 - mmdet - INFO - Epoch [32][3000/7330] lr: 1.000e-05, eta: 2:24:57, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0289, loss_cls: 0.1278, acc: 95.0920, loss_bbox: 0.1788, loss_mask: 0.1955, loss: 0.5475 2023-11-15 05:27:09,909 - mmdet - INFO - Epoch [32][3050/7330] lr: 1.000e-05, eta: 2:24:44, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0291, loss_cls: 0.1327, acc: 94.9473, loss_bbox: 0.1804, loss_mask: 0.1936, loss: 0.5542 2023-11-15 05:27:23,052 - mmdet - INFO - Epoch [32][3100/7330] lr: 1.000e-05, eta: 2:24:31, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0283, loss_cls: 0.1297, acc: 95.1201, loss_bbox: 0.1781, loss_mask: 0.1882, loss: 0.5413 2023-11-15 05:27:35,909 - mmdet - INFO - Epoch [32][3150/7330] lr: 1.000e-05, eta: 2:24:18, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0280, loss_cls: 0.1289, acc: 95.0405, loss_bbox: 0.1818, loss_mask: 0.1905, loss: 0.5472 2023-11-15 05:27:48,655 - mmdet - INFO - Epoch [32][3200/7330] lr: 1.000e-05, eta: 2:24:05, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0258, loss_cls: 0.1255, acc: 95.2874, loss_bbox: 0.1755, loss_mask: 0.1926, loss: 0.5359 2023-11-15 05:28:01,752 - mmdet - INFO - Epoch [32][3250/7330] lr: 1.000e-05, eta: 2:23:52, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0282, loss_cls: 0.1311, acc: 95.0989, loss_bbox: 0.1810, loss_mask: 0.1969, loss: 0.5538 2023-11-15 05:28:14,624 - mmdet - INFO - Epoch [32][3300/7330] lr: 1.000e-05, eta: 2:23:39, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0195, loss_rpn_bbox: 0.0299, loss_cls: 0.1390, acc: 94.7834, loss_bbox: 0.1894, loss_mask: 0.1984, loss: 0.5762 2023-11-15 05:28:27,305 - mmdet - INFO - Epoch [32][3350/7330] lr: 1.000e-05, eta: 2:23:26, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0266, loss_cls: 0.1300, acc: 95.1323, loss_bbox: 0.1769, loss_mask: 0.1923, loss: 0.5424 2023-11-15 05:28:39,950 - mmdet - INFO - Epoch [32][3400/7330] lr: 1.000e-05, eta: 2:23:13, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0266, loss_cls: 0.1242, acc: 95.3425, loss_bbox: 0.1752, loss_mask: 0.1900, loss: 0.5328 2023-11-15 05:28:53,133 - mmdet - INFO - Epoch [32][3450/7330] lr: 1.000e-05, eta: 2:23:00, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0292, loss_cls: 0.1322, acc: 95.0220, loss_bbox: 0.1812, loss_mask: 0.1922, loss: 0.5515 2023-11-15 05:29:06,105 - mmdet - INFO - Epoch [32][3500/7330] lr: 1.000e-05, eta: 2:22:47, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0277, loss_cls: 0.1321, acc: 95.0127, loss_bbox: 0.1804, loss_mask: 0.1964, loss: 0.5538 2023-11-15 05:29:19,030 - mmdet - INFO - Epoch [32][3550/7330] lr: 1.000e-05, eta: 2:22:34, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0287, loss_cls: 0.1297, acc: 95.0613, loss_bbox: 0.1839, loss_mask: 0.1966, loss: 0.5559 2023-11-15 05:29:31,957 - mmdet - INFO - Epoch [32][3600/7330] lr: 1.000e-05, eta: 2:22:22, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0283, loss_cls: 0.1318, acc: 95.0554, loss_bbox: 0.1791, loss_mask: 0.1924, loss: 0.5493 2023-11-15 05:29:44,616 - mmdet - INFO - Epoch [32][3650/7330] lr: 1.000e-05, eta: 2:22:09, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0255, loss_cls: 0.1272, acc: 95.2600, loss_bbox: 0.1757, loss_mask: 0.1905, loss: 0.5338 2023-11-15 05:29:57,534 - mmdet - INFO - Epoch [32][3700/7330] lr: 1.000e-05, eta: 2:21:56, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0192, loss_rpn_bbox: 0.0299, loss_cls: 0.1310, acc: 95.1172, loss_bbox: 0.1821, loss_mask: 0.1953, loss: 0.5575 2023-11-15 05:30:10,331 - mmdet - INFO - Epoch [32][3750/7330] lr: 1.000e-05, eta: 2:21:43, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0279, loss_cls: 0.1334, acc: 94.9619, loss_bbox: 0.1820, loss_mask: 0.1977, loss: 0.5595 2023-11-15 05:30:23,022 - mmdet - INFO - Epoch [32][3800/7330] lr: 1.000e-05, eta: 2:21:30, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0287, loss_cls: 0.1315, acc: 95.0315, loss_bbox: 0.1837, loss_mask: 0.1954, loss: 0.5574 2023-11-15 05:30:35,848 - mmdet - INFO - Epoch [32][3850/7330] lr: 1.000e-05, eta: 2:21:17, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0278, loss_cls: 0.1277, acc: 95.1604, loss_bbox: 0.1813, loss_mask: 0.1901, loss: 0.5432 2023-11-15 05:30:48,593 - mmdet - INFO - Epoch [32][3900/7330] lr: 1.000e-05, eta: 2:21:04, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0266, loss_cls: 0.1266, acc: 95.2517, loss_bbox: 0.1785, loss_mask: 0.1939, loss: 0.5420 2023-11-15 05:31:01,553 - mmdet - INFO - Epoch [32][3950/7330] lr: 1.000e-05, eta: 2:20:51, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0318, loss_cls: 0.1410, acc: 94.7034, loss_bbox: 0.1965, loss_mask: 0.1989, loss: 0.5861 2023-11-15 05:31:14,617 - mmdet - INFO - Epoch [32][4000/7330] lr: 1.000e-05, eta: 2:20:38, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0292, loss_cls: 0.1300, acc: 95.0957, loss_bbox: 0.1793, loss_mask: 0.1908, loss: 0.5464 2023-11-15 05:31:27,548 - mmdet - INFO - Epoch [32][4050/7330] lr: 1.000e-05, eta: 2:20:25, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0298, loss_cls: 0.1349, acc: 94.8760, loss_bbox: 0.1874, loss_mask: 0.1973, loss: 0.5672 2023-11-15 05:31:40,479 - mmdet - INFO - Epoch [32][4100/7330] lr: 1.000e-05, eta: 2:20:12, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0284, loss_cls: 0.1258, acc: 95.2668, loss_bbox: 0.1777, loss_mask: 0.1907, loss: 0.5383 2023-11-15 05:31:53,263 - mmdet - INFO - Epoch [32][4150/7330] lr: 1.000e-05, eta: 2:19:59, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0289, loss_cls: 0.1305, acc: 95.0750, loss_bbox: 0.1833, loss_mask: 0.1946, loss: 0.5555 2023-11-15 05:32:06,279 - mmdet - INFO - Epoch [32][4200/7330] lr: 1.000e-05, eta: 2:19:46, time: 0.260, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0283, loss_cls: 0.1299, acc: 95.1113, loss_bbox: 0.1807, loss_mask: 0.1936, loss: 0.5503 2023-11-15 05:32:19,077 - mmdet - INFO - Epoch [32][4250/7330] lr: 1.000e-05, eta: 2:19:33, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0278, loss_cls: 0.1339, acc: 94.9944, loss_bbox: 0.1806, loss_mask: 0.1953, loss: 0.5555 2023-11-15 05:32:31,881 - mmdet - INFO - Epoch [32][4300/7330] lr: 1.000e-05, eta: 2:19:20, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0299, loss_cls: 0.1371, acc: 94.8257, loss_bbox: 0.1913, loss_mask: 0.1971, loss: 0.5728 2023-11-15 05:32:45,197 - mmdet - INFO - Epoch [32][4350/7330] lr: 1.000e-05, eta: 2:19:08, time: 0.266, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0291, loss_cls: 0.1289, acc: 95.1531, loss_bbox: 0.1829, loss_mask: 0.1940, loss: 0.5511 2023-11-15 05:32:58,013 - mmdet - INFO - Epoch [32][4400/7330] lr: 1.000e-05, eta: 2:18:55, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0288, loss_cls: 0.1281, acc: 95.0864, loss_bbox: 0.1863, loss_mask: 0.1972, loss: 0.5589 2023-11-15 05:33:10,767 - mmdet - INFO - Epoch [32][4450/7330] lr: 1.000e-05, eta: 2:18:42, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0272, loss_cls: 0.1281, acc: 95.1936, loss_bbox: 0.1769, loss_mask: 0.1909, loss: 0.5391 2023-11-15 05:33:23,743 - mmdet - INFO - Epoch [32][4500/7330] lr: 1.000e-05, eta: 2:18:29, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0286, loss_cls: 0.1352, acc: 94.8928, loss_bbox: 0.1836, loss_mask: 0.1932, loss: 0.5574 2023-11-15 05:33:36,598 - mmdet - INFO - Epoch [32][4550/7330] lr: 1.000e-05, eta: 2:18:16, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0276, loss_cls: 0.1347, acc: 94.8062, loss_bbox: 0.1860, loss_mask: 0.1926, loss: 0.5579 2023-11-15 05:33:49,412 - mmdet - INFO - Epoch [32][4600/7330] lr: 1.000e-05, eta: 2:18:03, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0262, loss_cls: 0.1267, acc: 95.1960, loss_bbox: 0.1776, loss_mask: 0.1902, loss: 0.5364 2023-11-15 05:34:02,286 - mmdet - INFO - Epoch [32][4650/7330] lr: 1.000e-05, eta: 2:17:50, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0193, loss_rpn_bbox: 0.0283, loss_cls: 0.1299, acc: 95.1147, loss_bbox: 0.1792, loss_mask: 0.1951, loss: 0.5519 2023-11-15 05:34:15,231 - mmdet - INFO - Epoch [32][4700/7330] lr: 1.000e-05, eta: 2:17:37, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0270, loss_cls: 0.1322, acc: 95.0564, loss_bbox: 0.1784, loss_mask: 0.1938, loss: 0.5479 2023-11-15 05:34:27,936 - mmdet - INFO - Epoch [32][4750/7330] lr: 1.000e-05, eta: 2:17:24, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0289, loss_cls: 0.1327, acc: 94.9333, loss_bbox: 0.1829, loss_mask: 0.1971, loss: 0.5593 2023-11-15 05:34:40,715 - mmdet - INFO - Epoch [32][4800/7330] lr: 1.000e-05, eta: 2:17:11, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0279, loss_cls: 0.1283, acc: 95.1665, loss_bbox: 0.1784, loss_mask: 0.1934, loss: 0.5457 2023-11-15 05:34:53,513 - mmdet - INFO - Epoch [32][4850/7330] lr: 1.000e-05, eta: 2:16:58, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0276, loss_cls: 0.1309, acc: 95.0437, loss_bbox: 0.1829, loss_mask: 0.1907, loss: 0.5502 2023-11-15 05:35:06,165 - mmdet - INFO - Epoch [32][4900/7330] lr: 1.000e-05, eta: 2:16:45, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0272, loss_cls: 0.1287, acc: 95.1353, loss_bbox: 0.1802, loss_mask: 0.1889, loss: 0.5412 2023-11-15 05:35:18,906 - mmdet - INFO - Epoch [32][4950/7330] lr: 1.000e-05, eta: 2:16:32, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0285, loss_cls: 0.1355, acc: 94.9397, loss_bbox: 0.1860, loss_mask: 0.1959, loss: 0.5626 2023-11-15 05:35:31,869 - mmdet - INFO - Epoch [32][5000/7330] lr: 1.000e-05, eta: 2:16:19, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0306, loss_cls: 0.1417, acc: 94.5918, loss_bbox: 0.1962, loss_mask: 0.2038, loss: 0.5892 2023-11-15 05:35:44,921 - mmdet - INFO - Epoch [32][5050/7330] lr: 1.000e-05, eta: 2:16:07, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0285, loss_cls: 0.1319, acc: 95.0957, loss_bbox: 0.1833, loss_mask: 0.1931, loss: 0.5543 2023-11-15 05:35:57,522 - mmdet - INFO - Epoch [32][5100/7330] lr: 1.000e-05, eta: 2:15:54, time: 0.252, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0280, loss_cls: 0.1321, acc: 95.0493, loss_bbox: 0.1832, loss_mask: 0.1927, loss: 0.5534 2023-11-15 05:36:10,513 - mmdet - INFO - Epoch [32][5150/7330] lr: 1.000e-05, eta: 2:15:41, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0254, loss_cls: 0.1218, acc: 95.3679, loss_bbox: 0.1732, loss_mask: 0.1875, loss: 0.5227 2023-11-15 05:36:23,524 - mmdet - INFO - Epoch [32][5200/7330] lr: 1.000e-05, eta: 2:15:28, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0284, loss_cls: 0.1315, acc: 94.9976, loss_bbox: 0.1783, loss_mask: 0.1925, loss: 0.5486 2023-11-15 05:36:36,646 - mmdet - INFO - Epoch [32][5250/7330] lr: 1.000e-05, eta: 2:15:15, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0280, loss_cls: 0.1355, acc: 94.9214, loss_bbox: 0.1862, loss_mask: 0.1958, loss: 0.5628 2023-11-15 05:36:49,263 - mmdet - INFO - Epoch [32][5300/7330] lr: 1.000e-05, eta: 2:15:02, time: 0.252, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0262, loss_cls: 0.1230, acc: 95.3145, loss_bbox: 0.1733, loss_mask: 0.1911, loss: 0.5299 2023-11-15 05:37:02,001 - mmdet - INFO - Epoch [32][5350/7330] lr: 1.000e-05, eta: 2:14:49, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0289, loss_cls: 0.1338, acc: 94.9429, loss_bbox: 0.1845, loss_mask: 0.1963, loss: 0.5607 2023-11-15 05:37:15,117 - mmdet - INFO - Epoch [32][5400/7330] lr: 1.000e-05, eta: 2:14:36, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0293, loss_cls: 0.1318, acc: 95.0283, loss_bbox: 0.1842, loss_mask: 0.1940, loss: 0.5558 2023-11-15 05:37:27,853 - mmdet - INFO - Epoch [32][5450/7330] lr: 1.000e-05, eta: 2:14:23, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0278, loss_cls: 0.1308, acc: 95.0276, loss_bbox: 0.1807, loss_mask: 0.1944, loss: 0.5504 2023-11-15 05:37:40,744 - mmdet - INFO - Epoch [32][5500/7330] lr: 1.000e-05, eta: 2:14:10, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0267, loss_cls: 0.1290, acc: 95.0691, loss_bbox: 0.1787, loss_mask: 0.1934, loss: 0.5445 2023-11-15 05:37:53,438 - mmdet - INFO - Epoch [32][5550/7330] lr: 1.000e-05, eta: 2:13:57, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0283, loss_cls: 0.1326, acc: 95.0884, loss_bbox: 0.1785, loss_mask: 0.1928, loss: 0.5501 2023-11-15 05:38:05,996 - mmdet - INFO - Epoch [32][5600/7330] lr: 1.000e-05, eta: 2:13:44, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0284, loss_cls: 0.1318, acc: 95.0039, loss_bbox: 0.1835, loss_mask: 0.1954, loss: 0.5576 2023-11-15 05:38:19,023 - mmdet - INFO - Epoch [32][5650/7330] lr: 1.000e-05, eta: 2:13:31, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0298, loss_cls: 0.1329, acc: 94.9675, loss_bbox: 0.1812, loss_mask: 0.1961, loss: 0.5597 2023-11-15 05:38:31,874 - mmdet - INFO - Epoch [32][5700/7330] lr: 1.000e-05, eta: 2:13:18, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0289, loss_cls: 0.1336, acc: 95.0730, loss_bbox: 0.1790, loss_mask: 0.1925, loss: 0.5523 2023-11-15 05:38:44,885 - mmdet - INFO - Epoch [32][5750/7330] lr: 1.000e-05, eta: 2:13:05, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0286, loss_cls: 0.1306, acc: 94.9932, loss_bbox: 0.1816, loss_mask: 0.1937, loss: 0.5512 2023-11-15 05:38:57,693 - mmdet - INFO - Epoch [32][5800/7330] lr: 1.000e-05, eta: 2:12:53, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0269, loss_cls: 0.1291, acc: 95.1021, loss_bbox: 0.1830, loss_mask: 0.1951, loss: 0.5507 2023-11-15 05:39:10,599 - mmdet - INFO - Epoch [32][5850/7330] lr: 1.000e-05, eta: 2:12:40, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0289, loss_cls: 0.1287, acc: 95.0759, loss_bbox: 0.1823, loss_mask: 0.1951, loss: 0.5510 2023-11-15 05:39:23,522 - mmdet - INFO - Epoch [32][5900/7330] lr: 1.000e-05, eta: 2:12:27, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0289, loss_cls: 0.1317, acc: 95.0393, loss_bbox: 0.1813, loss_mask: 0.1952, loss: 0.5563 2023-11-15 05:39:36,158 - mmdet - INFO - Epoch [32][5950/7330] lr: 1.000e-05, eta: 2:12:14, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0291, loss_cls: 0.1302, acc: 95.1001, loss_bbox: 0.1830, loss_mask: 0.1909, loss: 0.5493 2023-11-15 05:39:49,091 - mmdet - INFO - Epoch [32][6000/7330] lr: 1.000e-05, eta: 2:12:01, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0280, loss_cls: 0.1264, acc: 95.2209, loss_bbox: 0.1780, loss_mask: 0.1879, loss: 0.5389 2023-11-15 05:40:01,988 - mmdet - INFO - Epoch [32][6050/7330] lr: 1.000e-05, eta: 2:11:48, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0266, loss_cls: 0.1297, acc: 95.1067, loss_bbox: 0.1775, loss_mask: 0.1908, loss: 0.5408 2023-11-15 05:40:14,772 - mmdet - INFO - Epoch [32][6100/7330] lr: 1.000e-05, eta: 2:11:35, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0194, loss_rpn_bbox: 0.0313, loss_cls: 0.1420, acc: 94.6929, loss_bbox: 0.1959, loss_mask: 0.2004, loss: 0.5890 2023-11-15 05:40:27,592 - mmdet - INFO - Epoch [32][6150/7330] lr: 1.000e-05, eta: 2:11:22, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0276, loss_cls: 0.1248, acc: 95.2546, loss_bbox: 0.1770, loss_mask: 0.1872, loss: 0.5321 2023-11-15 05:40:40,425 - mmdet - INFO - Epoch [32][6200/7330] lr: 1.000e-05, eta: 2:11:09, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0257, loss_cls: 0.1209, acc: 95.4397, loss_bbox: 0.1731, loss_mask: 0.1899, loss: 0.5250 2023-11-15 05:40:53,435 - mmdet - INFO - Epoch [32][6250/7330] lr: 1.000e-05, eta: 2:10:56, time: 0.260, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0264, loss_cls: 0.1298, acc: 95.1067, loss_bbox: 0.1813, loss_mask: 0.1917, loss: 0.5463 2023-11-15 05:41:06,607 - mmdet - INFO - Epoch [32][6300/7330] lr: 1.000e-05, eta: 2:10:43, time: 0.263, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0288, loss_cls: 0.1337, acc: 94.9055, loss_bbox: 0.1883, loss_mask: 0.1959, loss: 0.5648 2023-11-15 05:41:19,525 - mmdet - INFO - Epoch [32][6350/7330] lr: 1.000e-05, eta: 2:10:30, time: 0.258, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0260, loss_cls: 0.1241, acc: 95.3193, loss_bbox: 0.1754, loss_mask: 0.1897, loss: 0.5309 2023-11-15 05:41:32,673 - mmdet - INFO - Epoch [32][6400/7330] lr: 1.000e-05, eta: 2:10:17, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0297, loss_cls: 0.1346, acc: 94.7810, loss_bbox: 0.1847, loss_mask: 0.1959, loss: 0.5615 2023-11-15 05:41:45,601 - mmdet - INFO - Epoch [32][6450/7330] lr: 1.000e-05, eta: 2:10:05, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0278, loss_cls: 0.1333, acc: 94.9514, loss_bbox: 0.1849, loss_mask: 0.2018, loss: 0.5654 2023-11-15 05:41:58,339 - mmdet - INFO - Epoch [32][6500/7330] lr: 1.000e-05, eta: 2:09:52, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0259, loss_cls: 0.1260, acc: 95.2378, loss_bbox: 0.1756, loss_mask: 0.1928, loss: 0.5367 2023-11-15 05:42:11,514 - mmdet - INFO - Epoch [32][6550/7330] lr: 1.000e-05, eta: 2:09:39, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0287, loss_cls: 0.1366, acc: 94.8628, loss_bbox: 0.1871, loss_mask: 0.1971, loss: 0.5664 2023-11-15 05:42:24,568 - mmdet - INFO - Epoch [32][6600/7330] lr: 1.000e-05, eta: 2:09:26, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0283, loss_cls: 0.1351, acc: 94.9346, loss_bbox: 0.1872, loss_mask: 0.1944, loss: 0.5610 2023-11-15 05:42:37,592 - mmdet - INFO - Epoch [32][6650/7330] lr: 1.000e-05, eta: 2:09:13, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0274, loss_cls: 0.1317, acc: 94.9944, loss_bbox: 0.1847, loss_mask: 0.1935, loss: 0.5531 2023-11-15 05:42:50,555 - mmdet - INFO - Epoch [32][6700/7330] lr: 1.000e-05, eta: 2:09:00, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0279, loss_cls: 0.1297, acc: 95.1157, loss_bbox: 0.1803, loss_mask: 0.1894, loss: 0.5435 2023-11-15 05:43:03,362 - mmdet - INFO - Epoch [32][6750/7330] lr: 1.000e-05, eta: 2:08:47, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0265, loss_cls: 0.1304, acc: 95.0569, loss_bbox: 0.1831, loss_mask: 0.1910, loss: 0.5482 2023-11-15 05:43:16,139 - mmdet - INFO - Epoch [32][6800/7330] lr: 1.000e-05, eta: 2:08:34, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0288, loss_cls: 0.1329, acc: 94.9607, loss_bbox: 0.1822, loss_mask: 0.1937, loss: 0.5543 2023-11-15 05:43:28,862 - mmdet - INFO - Epoch [32][6850/7330] lr: 1.000e-05, eta: 2:08:21, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0281, loss_cls: 0.1294, acc: 95.1243, loss_bbox: 0.1811, loss_mask: 0.1914, loss: 0.5460 2023-11-15 05:43:41,604 - mmdet - INFO - Epoch [32][6900/7330] lr: 1.000e-05, eta: 2:08:08, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0270, loss_cls: 0.1284, acc: 95.1523, loss_bbox: 0.1810, loss_mask: 0.1944, loss: 0.5469 2023-11-15 05:43:54,044 - mmdet - INFO - Epoch [32][6950/7330] lr: 1.000e-05, eta: 2:07:55, time: 0.249, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0254, loss_cls: 0.1262, acc: 95.1602, loss_bbox: 0.1775, loss_mask: 0.1928, loss: 0.5374 2023-11-15 05:44:06,485 - mmdet - INFO - Epoch [32][7000/7330] lr: 1.000e-05, eta: 2:07:42, time: 0.249, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0264, loss_cls: 0.1252, acc: 95.3164, loss_bbox: 0.1732, loss_mask: 0.1973, loss: 0.5381 2023-11-15 05:44:19,194 - mmdet - INFO - Epoch [32][7050/7330] lr: 1.000e-05, eta: 2:07:29, time: 0.254, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0280, loss_cls: 0.1312, acc: 95.0442, loss_bbox: 0.1815, loss_mask: 0.1914, loss: 0.5482 2023-11-15 05:44:31,744 - mmdet - INFO - Epoch [32][7100/7330] lr: 1.000e-05, eta: 2:07:16, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0288, loss_cls: 0.1336, acc: 94.9504, loss_bbox: 0.1799, loss_mask: 0.1912, loss: 0.5519 2023-11-15 05:44:44,516 - mmdet - INFO - Epoch [32][7150/7330] lr: 1.000e-05, eta: 2:07:03, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0289, loss_cls: 0.1316, acc: 95.0706, loss_bbox: 0.1799, loss_mask: 0.1897, loss: 0.5481 2023-11-15 05:44:57,092 - mmdet - INFO - Epoch [32][7200/7330] lr: 1.000e-05, eta: 2:06:50, time: 0.251, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0251, loss_cls: 0.1275, acc: 95.2324, loss_bbox: 0.1761, loss_mask: 0.1850, loss: 0.5290 2023-11-15 05:45:10,028 - mmdet - INFO - Epoch [32][7250/7330] lr: 1.000e-05, eta: 2:06:37, time: 0.259, data_time: 0.011, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0267, loss_cls: 0.1263, acc: 95.2031, loss_bbox: 0.1766, loss_mask: 0.1877, loss: 0.5341 2023-11-15 05:45:23,011 - mmdet - INFO - Epoch [32][7300/7330] lr: 1.000e-05, eta: 2:06:25, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0283, loss_cls: 0.1276, acc: 95.1355, loss_bbox: 0.1813, loss_mask: 0.1961, loss: 0.5493 2023-11-15 05:45:31,290 - mmdet - INFO - Saving checkpoint at 32 epochs 2023-11-15 05:46:10,001 - mmdet - INFO - Evaluating bbox... 2023-11-15 05:46:37,401 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.493 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.707 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.541 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.334 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.530 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 ] = 0.606 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 ] = 0.440 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.641 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.752 2023-11-15 05:46:37,403 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.595 | bicycle | 0.392 | car | 0.503 | | motorcycle | 0.512 | airplane | 0.715 | bus | 0.707 | | train | 0.693 | truck | 0.442 | boat | 0.343 | | traffic light | 0.316 | fire hydrant | 0.739 | stop sign | 0.714 | | parking meter | 0.525 | bench | 0.319 | bird | 0.428 | | cat | 0.746 | dog | 0.709 | horse | 0.650 | | sheep | 0.603 | cow | 0.639 | elephant | 0.706 | | bear | 0.788 | zebra | 0.694 | giraffe | 0.718 | | backpack | 0.235 | umbrella | 0.467 | handbag | 0.254 | | tie | 0.415 | suitcase | 0.502 | frisbee | 0.715 | | skis | 0.329 | snowboard | 0.448 | sports ball | 0.475 | | kite | 0.465 | baseball bat | 0.419 | baseball glove | 0.455 | | skateboard | 0.596 | surfboard | 0.471 | tennis racket | 0.582 | | bottle | 0.463 | wine glass | 0.426 | cup | 0.502 | | fork | 0.491 | knife | 0.315 | spoon | 0.318 | | bowl | 0.465 | banana | 0.299 | apple | 0.284 | | sandwich | 0.421 | orange | 0.341 | broccoli | 0.261 | | carrot | 0.249 | hot dog | 0.438 | pizza | 0.567 | | donut | 0.564 | cake | 0.430 | chair | 0.368 | | couch | 0.501 | potted plant | 0.345 | bed | 0.487 | | dining table | 0.323 | toilet | 0.650 | tv | 0.647 | | laptop | 0.701 | mouse | 0.670 | remote | 0.451 | | keyboard | 0.570 | cell phone | 0.455 | microwave | 0.674 | | oven | 0.413 | toaster | 0.562 | sink | 0.457 | | refrigerator | 0.660 | book | 0.205 | clock | 0.521 | | vase | 0.413 | scissors | 0.458 | teddy bear | 0.530 | | hair drier | 0.173 | toothbrush | 0.366 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 05:46:37,403 - mmdet - INFO - Evaluating segm... 2023-11-15 05:47:05,125 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.438 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.679 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.472 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.251 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.471 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 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.381 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 ] = 0.704 2023-11-15 05:47:05,128 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.514 | bicycle | 0.247 | car | 0.460 | | motorcycle | 0.402 | airplane | 0.547 | bus | 0.694 | | train | 0.682 | truck | 0.422 | boat | 0.305 | | traffic light | 0.304 | fire hydrant | 0.689 | stop sign | 0.683 | | parking meter | 0.528 | bench | 0.235 | bird | 0.352 | | cat | 0.722 | dog | 0.665 | horse | 0.486 | | sheep | 0.529 | cow | 0.544 | elephant | 0.637 | | bear | 0.759 | zebra | 0.593 | giraffe | 0.567 | | backpack | 0.242 | umbrella | 0.511 | handbag | 0.236 | | tie | 0.373 | suitcase | 0.515 | frisbee | 0.654 | | skis | 0.070 | snowboard | 0.288 | sports ball | 0.451 | | kite | 0.328 | baseball bat | 0.321 | baseball glove | 0.466 | | skateboard | 0.389 | surfboard | 0.387 | tennis racket | 0.605 | | bottle | 0.438 | wine glass | 0.388 | cup | 0.501 | | fork | 0.253 | knife | 0.209 | spoon | 0.226 | | bowl | 0.425 | banana | 0.235 | apple | 0.273 | | sandwich | 0.444 | orange | 0.340 | broccoli | 0.237 | | carrot | 0.222 | hot dog | 0.376 | pizza | 0.545 | | donut | 0.559 | cake | 0.442 | chair | 0.260 | | couch | 0.417 | potted plant | 0.295 | bed | 0.391 | | dining table | 0.190 | toilet | 0.620 | tv | 0.668 | | laptop | 0.687 | mouse | 0.648 | remote | 0.394 | | keyboard | 0.553 | cell phone | 0.436 | microwave | 0.682 | | oven | 0.368 | toaster | 0.555 | sink | 0.425 | | refrigerator | 0.655 | book | 0.155 | clock | 0.508 | | vase | 0.398 | scissors | 0.334 | teddy bear | 0.505 | | hair drier | 0.150 | toothbrush | 0.253 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 05:47:05,457 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 05:47:05,458 - mmdet - INFO - Epoch(val) [32][625] bbox_mAP: 0.4932, bbox_mAP_50: 0.7067, bbox_mAP_75: 0.5415, bbox_mAP_s: 0.3343, bbox_mAP_m: 0.5303, bbox_mAP_l: 0.6404, bbox_mAP_copypaste: 0.4932 0.7067 0.5415 0.3343 0.5303 0.6404, segm_mAP: 0.4383, segm_mAP_50: 0.6788, segm_mAP_75: 0.4722, segm_mAP_s: 0.2512, segm_mAP_m: 0.4715, segm_mAP_l: 0.6227, segm_mAP_copypaste: 0.4383 0.6788 0.4722 0.2512 0.4715 0.6227 2023-11-15 05:47:22,024 - mmdet - INFO - Epoch [33][50/7330] lr: 1.000e-05, eta: 2:06:03, time: 0.331, data_time: 0.085, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0298, loss_cls: 0.1382, acc: 94.8220, loss_bbox: 0.1884, loss_mask: 0.1982, loss: 0.5727 2023-11-15 05:47:35,282 - mmdet - INFO - Epoch [33][100/7330] lr: 1.000e-05, eta: 2:05:50, time: 0.265, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0274, loss_cls: 0.1297, acc: 95.0034, loss_bbox: 0.1822, loss_mask: 0.1909, loss: 0.5466 2023-11-15 05:47:47,936 - mmdet - INFO - Epoch [33][150/7330] lr: 1.000e-05, eta: 2:05:38, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0276, loss_cls: 0.1304, acc: 95.1089, loss_bbox: 0.1802, loss_mask: 0.1902, loss: 0.5450 2023-11-15 05:48:01,026 - mmdet - INFO - Epoch [33][200/7330] lr: 1.000e-05, eta: 2:05:25, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0255, loss_cls: 0.1219, acc: 95.4666, loss_bbox: 0.1673, loss_mask: 0.1899, loss: 0.5205 2023-11-15 05:48:13,973 - mmdet - INFO - Epoch [33][250/7330] lr: 1.000e-05, eta: 2:05:12, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1269, acc: 95.1753, loss_bbox: 0.1770, loss_mask: 0.1898, loss: 0.5369 2023-11-15 05:48:27,115 - mmdet - INFO - Epoch [33][300/7330] lr: 1.000e-05, eta: 2:04:59, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0266, loss_cls: 0.1267, acc: 95.2522, loss_bbox: 0.1766, loss_mask: 0.1891, loss: 0.5353 2023-11-15 05:48:40,327 - mmdet - INFO - Epoch [33][350/7330] lr: 1.000e-05, eta: 2:04:46, time: 0.264, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0304, loss_cls: 0.1321, acc: 95.0435, loss_bbox: 0.1846, loss_mask: 0.1948, loss: 0.5603 2023-11-15 05:48:53,249 - mmdet - INFO - Epoch [33][400/7330] lr: 1.000e-05, eta: 2:04:33, time: 0.258, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0274, loss_cls: 0.1295, acc: 95.1387, loss_bbox: 0.1783, loss_mask: 0.1917, loss: 0.5434 2023-11-15 05:49:06,384 - mmdet - INFO - Epoch [33][450/7330] lr: 1.000e-05, eta: 2:04:20, time: 0.263, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0289, loss_cls: 0.1331, acc: 94.9651, loss_bbox: 0.1855, loss_mask: 0.1958, loss: 0.5606 2023-11-15 05:49:19,236 - mmdet - INFO - Epoch [33][500/7330] lr: 1.000e-05, eta: 2:04:07, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0267, loss_cls: 0.1289, acc: 95.0745, loss_bbox: 0.1819, loss_mask: 0.1927, loss: 0.5461 2023-11-15 05:49:32,373 - mmdet - INFO - Epoch [33][550/7330] lr: 1.000e-05, eta: 2:03:54, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0287, loss_cls: 0.1328, acc: 94.9724, loss_bbox: 0.1826, loss_mask: 0.1930, loss: 0.5541 2023-11-15 05:49:45,269 - mmdet - INFO - Epoch [33][600/7330] lr: 1.000e-05, eta: 2:03:41, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0267, loss_cls: 0.1230, acc: 95.3101, loss_bbox: 0.1753, loss_mask: 0.1869, loss: 0.5274 2023-11-15 05:49:58,061 - mmdet - INFO - Epoch [33][650/7330] lr: 1.000e-05, eta: 2:03:28, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0256, loss_cls: 0.1259, acc: 95.2563, loss_bbox: 0.1785, loss_mask: 0.1884, loss: 0.5343 2023-11-15 05:50:10,948 - mmdet - INFO - Epoch [33][700/7330] lr: 1.000e-05, eta: 2:03:16, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0308, loss_cls: 0.1422, acc: 94.6482, loss_bbox: 0.1976, loss_mask: 0.1973, loss: 0.5877 2023-11-15 05:50:23,693 - mmdet - INFO - Epoch [33][750/7330] lr: 1.000e-05, eta: 2:03:03, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0275, loss_cls: 0.1319, acc: 95.0305, loss_bbox: 0.1840, loss_mask: 0.1984, loss: 0.5583 2023-11-15 05:50:36,651 - mmdet - INFO - Epoch [33][800/7330] lr: 1.000e-05, eta: 2:02:50, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0256, loss_cls: 0.1224, acc: 95.4397, loss_bbox: 0.1723, loss_mask: 0.1879, loss: 0.5234 2023-11-15 05:50:49,598 - mmdet - INFO - Epoch [33][850/7330] lr: 1.000e-05, eta: 2:02:37, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0267, loss_cls: 0.1290, acc: 95.1023, loss_bbox: 0.1813, loss_mask: 0.1919, loss: 0.5433 2023-11-15 05:51:02,534 - mmdet - INFO - Epoch [33][900/7330] lr: 1.000e-05, eta: 2:02:24, time: 0.259, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0284, loss_cls: 0.1316, acc: 95.0247, loss_bbox: 0.1864, loss_mask: 0.1892, loss: 0.5522 2023-11-15 05:51:15,869 - mmdet - INFO - Epoch [33][950/7330] lr: 1.000e-05, eta: 2:02:11, time: 0.267, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0300, loss_cls: 0.1284, acc: 95.0981, loss_bbox: 0.1861, loss_mask: 0.1944, loss: 0.5575 2023-11-15 05:51:29,268 - mmdet - INFO - Epoch [33][1000/7330] lr: 1.000e-05, eta: 2:01:58, time: 0.268, data_time: 0.024, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0286, loss_cls: 0.1329, acc: 94.9656, loss_bbox: 0.1847, loss_mask: 0.2004, loss: 0.5655 2023-11-15 05:51:42,077 - mmdet - INFO - Epoch [33][1050/7330] lr: 1.000e-05, eta: 2:01:45, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0281, loss_cls: 0.1276, acc: 95.1262, loss_bbox: 0.1829, loss_mask: 0.1932, loss: 0.5482 2023-11-15 05:51:54,982 - mmdet - INFO - Epoch [33][1100/7330] lr: 1.000e-05, eta: 2:01:32, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0285, loss_cls: 0.1315, acc: 94.9480, loss_bbox: 0.1834, loss_mask: 0.1940, loss: 0.5537 2023-11-15 05:52:07,990 - mmdet - INFO - Epoch [33][1150/7330] lr: 1.000e-05, eta: 2:01:19, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0270, loss_cls: 0.1258, acc: 95.2012, loss_bbox: 0.1747, loss_mask: 0.1894, loss: 0.5341 2023-11-15 05:52:20,963 - mmdet - INFO - Epoch [33][1200/7330] lr: 1.000e-05, eta: 2:01:06, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0294, loss_cls: 0.1316, acc: 95.0298, loss_bbox: 0.1815, loss_mask: 0.1938, loss: 0.5547 2023-11-15 05:52:33,682 - mmdet - INFO - Epoch [33][1250/7330] lr: 1.000e-05, eta: 2:00:53, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0278, loss_cls: 0.1298, acc: 95.1470, loss_bbox: 0.1807, loss_mask: 0.1949, loss: 0.5508 2023-11-15 05:52:46,739 - mmdet - INFO - Epoch [33][1300/7330] lr: 1.000e-05, eta: 2:00:41, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0285, loss_cls: 0.1348, acc: 94.9521, loss_bbox: 0.1846, loss_mask: 0.1920, loss: 0.5583 2023-11-15 05:52:59,724 - mmdet - INFO - Epoch [33][1350/7330] lr: 1.000e-05, eta: 2:00:28, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0282, loss_cls: 0.1359, acc: 94.8892, loss_bbox: 0.1875, loss_mask: 0.1956, loss: 0.5627 2023-11-15 05:53:12,722 - mmdet - INFO - Epoch [33][1400/7330] lr: 1.000e-05, eta: 2:00:15, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0277, loss_cls: 0.1315, acc: 95.0054, loss_bbox: 0.1827, loss_mask: 0.1911, loss: 0.5495 2023-11-15 05:53:25,762 - mmdet - INFO - Epoch [33][1450/7330] lr: 1.000e-05, eta: 2:00:02, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0269, loss_cls: 0.1282, acc: 95.2007, loss_bbox: 0.1755, loss_mask: 0.1926, loss: 0.5393 2023-11-15 05:53:38,931 - mmdet - INFO - Epoch [33][1500/7330] lr: 1.000e-05, eta: 1:59:49, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0268, loss_cls: 0.1258, acc: 95.2312, loss_bbox: 0.1815, loss_mask: 0.1929, loss: 0.5441 2023-11-15 05:53:51,908 - mmdet - INFO - Epoch [33][1550/7330] lr: 1.000e-05, eta: 1:59:36, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0269, loss_cls: 0.1278, acc: 95.1663, loss_bbox: 0.1759, loss_mask: 0.1883, loss: 0.5354 2023-11-15 05:54:04,889 - mmdet - INFO - Epoch [33][1600/7330] lr: 1.000e-05, eta: 1:59:23, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0272, loss_cls: 0.1256, acc: 95.2202, loss_bbox: 0.1784, loss_mask: 0.1890, loss: 0.5364 2023-11-15 05:54:18,130 - mmdet - INFO - Epoch [33][1650/7330] lr: 1.000e-05, eta: 1:59:10, time: 0.265, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0294, loss_cls: 0.1335, acc: 94.8789, loss_bbox: 0.1857, loss_mask: 0.1945, loss: 0.5605 2023-11-15 05:54:31,019 - mmdet - INFO - Epoch [33][1700/7330] lr: 1.000e-05, eta: 1:58:57, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0284, loss_cls: 0.1300, acc: 95.0442, loss_bbox: 0.1789, loss_mask: 0.1943, loss: 0.5480 2023-11-15 05:54:43,925 - mmdet - INFO - Epoch [33][1750/7330] lr: 1.000e-05, eta: 1:58:44, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0274, loss_cls: 0.1263, acc: 95.2283, loss_bbox: 0.1777, loss_mask: 0.1949, loss: 0.5416 2023-11-15 05:54:56,684 - mmdet - INFO - Epoch [33][1800/7330] lr: 1.000e-05, eta: 1:58:31, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0262, loss_cls: 0.1275, acc: 95.1929, loss_bbox: 0.1780, loss_mask: 0.1879, loss: 0.5356 2023-11-15 05:55:09,590 - mmdet - INFO - Epoch [33][1850/7330] lr: 1.000e-05, eta: 1:58:19, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0279, loss_cls: 0.1292, acc: 95.1248, loss_bbox: 0.1787, loss_mask: 0.1928, loss: 0.5443 2023-11-15 05:55:22,453 - mmdet - INFO - Epoch [33][1900/7330] lr: 1.000e-05, eta: 1:58:06, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0268, loss_cls: 0.1269, acc: 95.2363, loss_bbox: 0.1769, loss_mask: 0.1883, loss: 0.5337 2023-11-15 05:55:35,255 - mmdet - INFO - Epoch [33][1950/7330] lr: 1.000e-05, eta: 1:57:53, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0268, loss_cls: 0.1267, acc: 95.1987, loss_bbox: 0.1735, loss_mask: 0.1878, loss: 0.5311 2023-11-15 05:55:48,088 - mmdet - INFO - Epoch [33][2000/7330] lr: 1.000e-05, eta: 1:57:40, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0261, loss_cls: 0.1242, acc: 95.3611, loss_bbox: 0.1742, loss_mask: 0.1897, loss: 0.5293 2023-11-15 05:56:01,103 - mmdet - INFO - Epoch [33][2050/7330] lr: 1.000e-05, eta: 1:57:27, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0252, loss_cls: 0.1277, acc: 95.2480, loss_bbox: 0.1762, loss_mask: 0.1908, loss: 0.5357 2023-11-15 05:56:14,255 - mmdet - INFO - Epoch [33][2100/7330] lr: 1.000e-05, eta: 1:57:14, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0296, loss_cls: 0.1320, acc: 95.0075, loss_bbox: 0.1842, loss_mask: 0.1939, loss: 0.5577 2023-11-15 05:56:27,269 - mmdet - INFO - Epoch [33][2150/7330] lr: 1.000e-05, eta: 1:57:01, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0278, loss_cls: 0.1267, acc: 95.2590, loss_bbox: 0.1760, loss_mask: 0.1899, loss: 0.5368 2023-11-15 05:56:40,233 - mmdet - INFO - Epoch [33][2200/7330] lr: 1.000e-05, eta: 1:56:48, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0256, loss_cls: 0.1240, acc: 95.3376, loss_bbox: 0.1765, loss_mask: 0.1920, loss: 0.5333 2023-11-15 05:56:53,165 - mmdet - INFO - Epoch [33][2250/7330] lr: 1.000e-05, eta: 1:56:35, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0263, loss_cls: 0.1269, acc: 95.1853, loss_bbox: 0.1786, loss_mask: 0.1904, loss: 0.5375 2023-11-15 05:57:05,940 - mmdet - INFO - Epoch [33][2300/7330] lr: 1.000e-05, eta: 1:56:22, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0270, loss_cls: 0.1288, acc: 95.1658, loss_bbox: 0.1803, loss_mask: 0.1912, loss: 0.5438 2023-11-15 05:57:18,938 - mmdet - INFO - Epoch [33][2350/7330] lr: 1.000e-05, eta: 1:56:09, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0295, loss_cls: 0.1323, acc: 95.0051, loss_bbox: 0.1845, loss_mask: 0.1977, loss: 0.5614 2023-11-15 05:57:32,102 - mmdet - INFO - Epoch [33][2400/7330] lr: 1.000e-05, eta: 1:55:56, time: 0.263, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0286, loss_cls: 0.1309, acc: 95.0781, loss_bbox: 0.1811, loss_mask: 0.1937, loss: 0.5526 2023-11-15 05:57:45,037 - mmdet - INFO - Epoch [33][2450/7330] lr: 1.000e-05, eta: 1:55:43, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0294, loss_cls: 0.1380, acc: 94.7712, loss_bbox: 0.1894, loss_mask: 0.1965, loss: 0.5715 2023-11-15 05:57:57,955 - mmdet - INFO - Epoch [33][2500/7330] lr: 1.000e-05, eta: 1:55:31, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0279, loss_cls: 0.1311, acc: 95.1047, loss_bbox: 0.1832, loss_mask: 0.1914, loss: 0.5510 2023-11-15 05:58:10,589 - mmdet - INFO - Epoch [33][2550/7330] lr: 1.000e-05, eta: 1:55:18, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0268, loss_cls: 0.1244, acc: 95.3828, loss_bbox: 0.1763, loss_mask: 0.1928, loss: 0.5366 2023-11-15 05:58:23,525 - mmdet - INFO - Epoch [33][2600/7330] lr: 1.000e-05, eta: 1:55:05, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0284, loss_cls: 0.1322, acc: 95.0415, loss_bbox: 0.1793, loss_mask: 0.1947, loss: 0.5508 2023-11-15 05:58:36,376 - mmdet - INFO - Epoch [33][2650/7330] lr: 1.000e-05, eta: 1:54:52, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0277, loss_cls: 0.1279, acc: 95.1628, loss_bbox: 0.1812, loss_mask: 0.1901, loss: 0.5421 2023-11-15 05:58:49,568 - mmdet - INFO - Epoch [33][2700/7330] lr: 1.000e-05, eta: 1:54:39, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0278, loss_cls: 0.1272, acc: 95.1987, loss_bbox: 0.1771, loss_mask: 0.1922, loss: 0.5417 2023-11-15 05:59:02,594 - mmdet - INFO - Epoch [33][2750/7330] lr: 1.000e-05, eta: 1:54:26, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0277, loss_cls: 0.1289, acc: 95.0811, loss_bbox: 0.1793, loss_mask: 0.1966, loss: 0.5483 2023-11-15 05:59:15,360 - mmdet - INFO - Epoch [33][2800/7330] lr: 1.000e-05, eta: 1:54:13, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0278, loss_cls: 0.1293, acc: 95.1733, loss_bbox: 0.1778, loss_mask: 0.1912, loss: 0.5436 2023-11-15 05:59:27,984 - mmdet - INFO - Epoch [33][2850/7330] lr: 1.000e-05, eta: 1:54:00, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0275, loss_cls: 0.1227, acc: 95.3623, loss_bbox: 0.1746, loss_mask: 0.1882, loss: 0.5312 2023-11-15 05:59:41,036 - mmdet - INFO - Epoch [33][2900/7330] lr: 1.000e-05, eta: 1:53:47, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0288, loss_cls: 0.1332, acc: 94.8855, loss_bbox: 0.1826, loss_mask: 0.1938, loss: 0.5571 2023-11-15 05:59:53,927 - mmdet - INFO - Epoch [33][2950/7330] lr: 1.000e-05, eta: 1:53:34, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0260, loss_cls: 0.1276, acc: 95.2102, loss_bbox: 0.1753, loss_mask: 0.1913, loss: 0.5374 2023-11-15 06:00:07,047 - mmdet - INFO - Epoch [33][3000/7330] lr: 1.000e-05, eta: 1:53:21, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0281, loss_cls: 0.1318, acc: 94.9385, loss_bbox: 0.1842, loss_mask: 0.1958, loss: 0.5563 2023-11-15 06:00:20,290 - mmdet - INFO - Epoch [33][3050/7330] lr: 1.000e-05, eta: 1:53:08, time: 0.265, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0291, loss_cls: 0.1325, acc: 95.0005, loss_bbox: 0.1827, loss_mask: 0.1932, loss: 0.5563 2023-11-15 06:00:33,631 - mmdet - INFO - Epoch [33][3100/7330] lr: 1.000e-05, eta: 1:52:56, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0296, loss_cls: 0.1323, acc: 94.9143, loss_bbox: 0.1848, loss_mask: 0.1974, loss: 0.5619 2023-11-15 06:00:46,821 - mmdet - INFO - Epoch [33][3150/7330] lr: 1.000e-05, eta: 1:52:43, time: 0.264, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0292, loss_cls: 0.1311, acc: 95.0796, loss_bbox: 0.1828, loss_mask: 0.1943, loss: 0.5546 2023-11-15 06:00:59,489 - mmdet - INFO - Epoch [33][3200/7330] lr: 1.000e-05, eta: 1:52:30, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0274, loss_cls: 0.1276, acc: 95.0906, loss_bbox: 0.1818, loss_mask: 0.1932, loss: 0.5481 2023-11-15 06:01:12,471 - mmdet - INFO - Epoch [33][3250/7330] lr: 1.000e-05, eta: 1:52:17, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0281, loss_cls: 0.1317, acc: 94.9949, loss_bbox: 0.1815, loss_mask: 0.1952, loss: 0.5540 2023-11-15 06:01:25,578 - mmdet - INFO - Epoch [33][3300/7330] lr: 1.000e-05, eta: 1:52:04, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0282, loss_cls: 0.1289, acc: 95.1594, loss_bbox: 0.1804, loss_mask: 0.1947, loss: 0.5496 2023-11-15 06:01:38,527 - mmdet - INFO - Epoch [33][3350/7330] lr: 1.000e-05, eta: 1:51:51, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0265, loss_cls: 0.1284, acc: 95.1008, loss_bbox: 0.1799, loss_mask: 0.1943, loss: 0.5455 2023-11-15 06:01:51,255 - mmdet - INFO - Epoch [33][3400/7330] lr: 1.000e-05, eta: 1:51:38, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0280, loss_cls: 0.1319, acc: 95.0549, loss_bbox: 0.1821, loss_mask: 0.1915, loss: 0.5511 2023-11-15 06:02:04,113 - mmdet - INFO - Epoch [33][3450/7330] lr: 1.000e-05, eta: 1:51:25, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0274, loss_cls: 0.1265, acc: 95.2502, loss_bbox: 0.1787, loss_mask: 0.1847, loss: 0.5343 2023-11-15 06:02:17,139 - mmdet - INFO - Epoch [33][3500/7330] lr: 1.000e-05, eta: 1:51:12, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0262, loss_cls: 0.1273, acc: 95.2227, loss_bbox: 0.1749, loss_mask: 0.1903, loss: 0.5348 2023-11-15 06:02:29,910 - mmdet - INFO - Epoch [33][3550/7330] lr: 1.000e-05, eta: 1:50:59, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0268, loss_cls: 0.1324, acc: 94.9893, loss_bbox: 0.1833, loss_mask: 0.1930, loss: 0.5519 2023-11-15 06:02:42,893 - mmdet - INFO - Epoch [33][3600/7330] lr: 1.000e-05, eta: 1:50:46, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0318, loss_cls: 0.1389, acc: 94.8269, loss_bbox: 0.1942, loss_mask: 0.2007, loss: 0.5844 2023-11-15 06:02:55,725 - mmdet - INFO - Epoch [33][3650/7330] lr: 1.000e-05, eta: 1:50:33, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0253, loss_cls: 0.1242, acc: 95.3125, loss_bbox: 0.1773, loss_mask: 0.1887, loss: 0.5317 2023-11-15 06:03:08,316 - mmdet - INFO - Epoch [33][3700/7330] lr: 1.000e-05, eta: 1:50:20, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0267, loss_cls: 0.1299, acc: 95.1096, loss_bbox: 0.1788, loss_mask: 0.1917, loss: 0.5438 2023-11-15 06:03:21,466 - mmdet - INFO - Epoch [33][3750/7330] lr: 1.000e-05, eta: 1:50:08, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0276, loss_cls: 0.1353, acc: 94.9170, loss_bbox: 0.1845, loss_mask: 0.1932, loss: 0.5572 2023-11-15 06:03:34,305 - mmdet - INFO - Epoch [33][3800/7330] lr: 1.000e-05, eta: 1:49:55, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0282, loss_cls: 0.1301, acc: 95.0754, loss_bbox: 0.1825, loss_mask: 0.1941, loss: 0.5526 2023-11-15 06:03:47,261 - mmdet - INFO - Epoch [33][3850/7330] lr: 1.000e-05, eta: 1:49:42, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0298, loss_cls: 0.1325, acc: 94.9297, loss_bbox: 0.1832, loss_mask: 0.1945, loss: 0.5578 2023-11-15 06:04:00,137 - mmdet - INFO - Epoch [33][3900/7330] lr: 1.000e-05, eta: 1:49:29, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0265, loss_cls: 0.1251, acc: 95.2173, loss_bbox: 0.1753, loss_mask: 0.1861, loss: 0.5284 2023-11-15 06:04:13,162 - mmdet - INFO - Epoch [33][3950/7330] lr: 1.000e-05, eta: 1:49:16, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0287, loss_cls: 0.1330, acc: 94.9529, loss_bbox: 0.1862, loss_mask: 0.1905, loss: 0.5546 2023-11-15 06:04:26,041 - mmdet - INFO - Epoch [33][4000/7330] lr: 1.000e-05, eta: 1:49:03, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0276, loss_cls: 0.1305, acc: 95.0563, loss_bbox: 0.1803, loss_mask: 0.1887, loss: 0.5443 2023-11-15 06:04:38,819 - mmdet - INFO - Epoch [33][4050/7330] lr: 1.000e-05, eta: 1:48:50, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0279, loss_cls: 0.1322, acc: 94.9077, loss_bbox: 0.1879, loss_mask: 0.1946, loss: 0.5584 2023-11-15 06:04:52,145 - mmdet - INFO - Epoch [33][4100/7330] lr: 1.000e-05, eta: 1:48:37, time: 0.267, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0291, loss_cls: 0.1284, acc: 95.0864, loss_bbox: 0.1796, loss_mask: 0.1970, loss: 0.5510 2023-11-15 06:05:05,016 - mmdet - INFO - Epoch [33][4150/7330] lr: 1.000e-05, eta: 1:48:24, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0284, loss_cls: 0.1304, acc: 95.0681, loss_bbox: 0.1866, loss_mask: 0.1938, loss: 0.5571 2023-11-15 06:05:18,091 - mmdet - INFO - Epoch [33][4200/7330] lr: 1.000e-05, eta: 1:48:11, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0271, loss_cls: 0.1293, acc: 95.1760, loss_bbox: 0.1784, loss_mask: 0.1904, loss: 0.5412 2023-11-15 06:05:30,851 - mmdet - INFO - Epoch [33][4250/7330] lr: 1.000e-05, eta: 1:47:58, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0271, loss_cls: 0.1288, acc: 95.1460, loss_bbox: 0.1761, loss_mask: 0.1967, loss: 0.5461 2023-11-15 06:05:43,708 - mmdet - INFO - Epoch [33][4300/7330] lr: 1.000e-05, eta: 1:47:45, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0306, loss_cls: 0.1360, acc: 94.7961, loss_bbox: 0.1907, loss_mask: 0.1979, loss: 0.5740 2023-11-15 06:05:56,530 - mmdet - INFO - Epoch [33][4350/7330] lr: 1.000e-05, eta: 1:47:33, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0302, loss_cls: 0.1322, acc: 94.9233, loss_bbox: 0.1866, loss_mask: 0.1956, loss: 0.5630 2023-11-15 06:06:09,404 - mmdet - INFO - Epoch [33][4400/7330] lr: 1.000e-05, eta: 1:47:20, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0289, loss_cls: 0.1308, acc: 95.0496, loss_bbox: 0.1860, loss_mask: 0.1956, loss: 0.5585 2023-11-15 06:06:22,071 - mmdet - INFO - Epoch [33][4450/7330] lr: 1.000e-05, eta: 1:47:07, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0259, loss_cls: 0.1273, acc: 95.2300, loss_bbox: 0.1761, loss_mask: 0.1882, loss: 0.5342 2023-11-15 06:06:34,878 - mmdet - INFO - Epoch [33][4500/7330] lr: 1.000e-05, eta: 1:46:54, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0261, loss_cls: 0.1188, acc: 95.4634, loss_bbox: 0.1698, loss_mask: 0.1867, loss: 0.5174 2023-11-15 06:06:48,026 - mmdet - INFO - Epoch [33][4550/7330] lr: 1.000e-05, eta: 1:46:41, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0277, loss_cls: 0.1323, acc: 94.9888, loss_bbox: 0.1822, loss_mask: 0.1896, loss: 0.5479 2023-11-15 06:07:00,581 - mmdet - INFO - Epoch [33][4600/7330] lr: 1.000e-05, eta: 1:46:28, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0266, loss_cls: 0.1287, acc: 95.1235, loss_bbox: 0.1759, loss_mask: 0.1899, loss: 0.5377 2023-11-15 06:07:13,499 - mmdet - INFO - Epoch [33][4650/7330] lr: 1.000e-05, eta: 1:46:15, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0295, loss_cls: 0.1315, acc: 95.1389, loss_bbox: 0.1816, loss_mask: 0.1946, loss: 0.5547 2023-11-15 06:07:26,299 - mmdet - INFO - Epoch [33][4700/7330] lr: 1.000e-05, eta: 1:46:02, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0253, loss_cls: 0.1256, acc: 95.2759, loss_bbox: 0.1713, loss_mask: 0.1886, loss: 0.5260 2023-11-15 06:07:39,063 - mmdet - INFO - Epoch [33][4750/7330] lr: 1.000e-05, eta: 1:45:49, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0279, loss_cls: 0.1243, acc: 95.3005, loss_bbox: 0.1754, loss_mask: 0.1932, loss: 0.5372 2023-11-15 06:07:52,031 - mmdet - INFO - Epoch [33][4800/7330] lr: 1.000e-05, eta: 1:45:36, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0264, loss_cls: 0.1226, acc: 95.3538, loss_bbox: 0.1744, loss_mask: 0.1897, loss: 0.5305 2023-11-15 06:08:04,652 - mmdet - INFO - Epoch [33][4850/7330] lr: 1.000e-05, eta: 1:45:23, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0277, loss_cls: 0.1247, acc: 95.2258, loss_bbox: 0.1765, loss_mask: 0.1920, loss: 0.5363 2023-11-15 06:08:17,655 - mmdet - INFO - Epoch [33][4900/7330] lr: 1.000e-05, eta: 1:45:10, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0268, loss_cls: 0.1275, acc: 95.1614, loss_bbox: 0.1804, loss_mask: 0.1910, loss: 0.5416 2023-11-15 06:08:30,684 - mmdet - INFO - Epoch [33][4950/7330] lr: 1.000e-05, eta: 1:44:57, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0272, loss_cls: 0.1253, acc: 95.3123, loss_bbox: 0.1774, loss_mask: 0.1955, loss: 0.5408 2023-11-15 06:08:43,365 - mmdet - INFO - Epoch [33][5000/7330] lr: 1.000e-05, eta: 1:44:44, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0189, loss_rpn_bbox: 0.0304, loss_cls: 0.1307, acc: 95.0339, loss_bbox: 0.1847, loss_mask: 0.1961, loss: 0.5607 2023-11-15 06:08:56,390 - mmdet - INFO - Epoch [33][5050/7330] lr: 1.000e-05, eta: 1:44:32, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0269, loss_cls: 0.1314, acc: 95.1216, loss_bbox: 0.1800, loss_mask: 0.1923, loss: 0.5471 2023-11-15 06:09:09,183 - mmdet - INFO - Epoch [33][5100/7330] lr: 1.000e-05, eta: 1:44:19, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0262, loss_cls: 0.1262, acc: 95.2500, loss_bbox: 0.1755, loss_mask: 0.1893, loss: 0.5349 2023-11-15 06:09:21,994 - mmdet - INFO - Epoch [33][5150/7330] lr: 1.000e-05, eta: 1:44:06, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0281, loss_cls: 0.1284, acc: 95.1501, loss_bbox: 0.1773, loss_mask: 0.1906, loss: 0.5416 2023-11-15 06:09:34,775 - mmdet - INFO - Epoch [33][5200/7330] lr: 1.000e-05, eta: 1:43:53, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0284, loss_cls: 0.1298, acc: 95.1033, loss_bbox: 0.1865, loss_mask: 0.1993, loss: 0.5618 2023-11-15 06:09:47,552 - mmdet - INFO - Epoch [33][5250/7330] lr: 1.000e-05, eta: 1:43:40, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0287, loss_cls: 0.1275, acc: 95.1440, loss_bbox: 0.1816, loss_mask: 0.1978, loss: 0.5526 2023-11-15 06:10:00,730 - mmdet - INFO - Epoch [33][5300/7330] lr: 1.000e-05, eta: 1:43:27, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0296, loss_cls: 0.1329, acc: 95.0632, loss_bbox: 0.1858, loss_mask: 0.1902, loss: 0.5568 2023-11-15 06:10:13,559 - mmdet - INFO - Epoch [33][5350/7330] lr: 1.000e-05, eta: 1:43:14, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0252, loss_cls: 0.1166, acc: 95.6750, loss_bbox: 0.1681, loss_mask: 0.1866, loss: 0.5115 2023-11-15 06:10:26,183 - mmdet - INFO - Epoch [33][5400/7330] lr: 1.000e-05, eta: 1:43:01, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0297, loss_cls: 0.1314, acc: 95.0024, loss_bbox: 0.1828, loss_mask: 0.1951, loss: 0.5565 2023-11-15 06:10:39,161 - mmdet - INFO - Epoch [33][5450/7330] lr: 1.000e-05, eta: 1:42:48, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0279, loss_cls: 0.1250, acc: 95.2351, loss_bbox: 0.1806, loss_mask: 0.1909, loss: 0.5414 2023-11-15 06:10:51,960 - mmdet - INFO - Epoch [33][5500/7330] lr: 1.000e-05, eta: 1:42:35, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0299, loss_cls: 0.1350, acc: 94.8850, loss_bbox: 0.1863, loss_mask: 0.1977, loss: 0.5669 2023-11-15 06:11:04,881 - mmdet - INFO - Epoch [33][5550/7330] lr: 1.000e-05, eta: 1:42:22, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0275, loss_cls: 0.1337, acc: 94.9607, loss_bbox: 0.1831, loss_mask: 0.1957, loss: 0.5577 2023-11-15 06:11:17,566 - mmdet - INFO - Epoch [33][5600/7330] lr: 1.000e-05, eta: 1:42:09, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0304, loss_cls: 0.1287, acc: 95.1433, loss_bbox: 0.1782, loss_mask: 0.1922, loss: 0.5463 2023-11-15 06:11:30,388 - mmdet - INFO - Epoch [33][5650/7330] lr: 1.000e-05, eta: 1:41:56, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0272, loss_cls: 0.1295, acc: 95.0500, loss_bbox: 0.1836, loss_mask: 0.1915, loss: 0.5489 2023-11-15 06:11:43,229 - mmdet - INFO - Epoch [33][5700/7330] lr: 1.000e-05, eta: 1:41:43, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0273, loss_cls: 0.1245, acc: 95.2615, loss_bbox: 0.1753, loss_mask: 0.1887, loss: 0.5314 2023-11-15 06:11:56,141 - mmdet - INFO - Epoch [33][5750/7330] lr: 1.000e-05, eta: 1:41:31, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0279, loss_cls: 0.1283, acc: 95.1035, loss_bbox: 0.1801, loss_mask: 0.1907, loss: 0.5437 2023-11-15 06:12:08,792 - mmdet - INFO - Epoch [33][5800/7330] lr: 1.000e-05, eta: 1:41:18, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0280, loss_cls: 0.1321, acc: 95.0566, loss_bbox: 0.1843, loss_mask: 0.1957, loss: 0.5568 2023-11-15 06:12:21,646 - mmdet - INFO - Epoch [33][5850/7330] lr: 1.000e-05, eta: 1:41:05, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0257, loss_cls: 0.1263, acc: 95.2861, loss_bbox: 0.1774, loss_mask: 0.1916, loss: 0.5371 2023-11-15 06:12:34,478 - mmdet - INFO - Epoch [33][5900/7330] lr: 1.000e-05, eta: 1:40:52, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0255, loss_cls: 0.1265, acc: 95.1741, loss_bbox: 0.1764, loss_mask: 0.1931, loss: 0.5377 2023-11-15 06:12:47,587 - mmdet - INFO - Epoch [33][5950/7330] lr: 1.000e-05, eta: 1:40:39, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0268, loss_cls: 0.1257, acc: 95.1711, loss_bbox: 0.1748, loss_mask: 0.1828, loss: 0.5257 2023-11-15 06:13:00,251 - mmdet - INFO - Epoch [33][6000/7330] lr: 1.000e-05, eta: 1:40:26, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0275, loss_cls: 0.1255, acc: 95.2056, loss_bbox: 0.1772, loss_mask: 0.1941, loss: 0.5405 2023-11-15 06:13:13,088 - mmdet - INFO - Epoch [33][6050/7330] lr: 1.000e-05, eta: 1:40:13, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0273, loss_cls: 0.1280, acc: 95.2451, loss_bbox: 0.1779, loss_mask: 0.1910, loss: 0.5418 2023-11-15 06:13:25,853 - mmdet - INFO - Epoch [33][6100/7330] lr: 1.000e-05, eta: 1:40:00, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0258, loss_cls: 0.1213, acc: 95.4036, loss_bbox: 0.1731, loss_mask: 0.1887, loss: 0.5245 2023-11-15 06:13:38,624 - mmdet - INFO - Epoch [33][6150/7330] lr: 1.000e-05, eta: 1:39:47, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0281, loss_cls: 0.1348, acc: 94.9956, loss_bbox: 0.1850, loss_mask: 0.1943, loss: 0.5598 2023-11-15 06:13:51,511 - mmdet - INFO - Epoch [33][6200/7330] lr: 1.000e-05, eta: 1:39:34, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0289, loss_cls: 0.1283, acc: 95.1360, loss_bbox: 0.1776, loss_mask: 0.1914, loss: 0.5437 2023-11-15 06:14:04,358 - mmdet - INFO - Epoch [33][6250/7330] lr: 1.000e-05, eta: 1:39:21, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0286, loss_cls: 0.1322, acc: 95.0071, loss_bbox: 0.1868, loss_mask: 0.1943, loss: 0.5586 2023-11-15 06:14:17,449 - mmdet - INFO - Epoch [33][6300/7330] lr: 1.000e-05, eta: 1:39:08, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1285, acc: 95.2324, loss_bbox: 0.1770, loss_mask: 0.1919, loss: 0.5406 2023-11-15 06:14:30,533 - mmdet - INFO - Epoch [33][6350/7330] lr: 1.000e-05, eta: 1:38:55, time: 0.262, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0289, loss_cls: 0.1317, acc: 94.9919, loss_bbox: 0.1892, loss_mask: 0.1967, loss: 0.5632 2023-11-15 06:14:43,881 - mmdet - INFO - Epoch [33][6400/7330] lr: 1.000e-05, eta: 1:38:43, time: 0.267, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0288, loss_cls: 0.1312, acc: 95.0630, loss_bbox: 0.1843, loss_mask: 0.1916, loss: 0.5518 2023-11-15 06:14:56,952 - mmdet - INFO - Epoch [33][6450/7330] lr: 1.000e-05, eta: 1:38:30, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0264, loss_cls: 0.1262, acc: 95.2163, loss_bbox: 0.1750, loss_mask: 0.1936, loss: 0.5368 2023-11-15 06:15:10,188 - mmdet - INFO - Epoch [33][6500/7330] lr: 1.000e-05, eta: 1:38:17, time: 0.265, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0285, loss_cls: 0.1284, acc: 95.1309, loss_bbox: 0.1793, loss_mask: 0.1915, loss: 0.5441 2023-11-15 06:15:23,088 - mmdet - INFO - Epoch [33][6550/7330] lr: 1.000e-05, eta: 1:38:04, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0271, loss_cls: 0.1247, acc: 95.3296, loss_bbox: 0.1755, loss_mask: 0.1876, loss: 0.5324 2023-11-15 06:15:36,110 - mmdet - INFO - Epoch [33][6600/7330] lr: 1.000e-05, eta: 1:37:51, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0265, loss_cls: 0.1260, acc: 95.2380, loss_bbox: 0.1741, loss_mask: 0.1868, loss: 0.5301 2023-11-15 06:15:49,139 - mmdet - INFO - Epoch [33][6650/7330] lr: 1.000e-05, eta: 1:37:38, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0295, loss_cls: 0.1358, acc: 94.8635, loss_bbox: 0.1882, loss_mask: 0.1951, loss: 0.5665 2023-11-15 06:16:01,960 - mmdet - INFO - Epoch [33][6700/7330] lr: 1.000e-05, eta: 1:37:25, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0282, loss_cls: 0.1349, acc: 94.8713, loss_bbox: 0.1881, loss_mask: 0.1979, loss: 0.5671 2023-11-15 06:16:14,809 - mmdet - INFO - Epoch [33][6750/7330] lr: 1.000e-05, eta: 1:37:12, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0275, loss_cls: 0.1259, acc: 95.2705, loss_bbox: 0.1765, loss_mask: 0.1900, loss: 0.5366 2023-11-15 06:16:27,850 - mmdet - INFO - Epoch [33][6800/7330] lr: 1.000e-05, eta: 1:36:59, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0272, loss_cls: 0.1323, acc: 94.9758, loss_bbox: 0.1825, loss_mask: 0.1935, loss: 0.5516 2023-11-15 06:16:40,801 - mmdet - INFO - Epoch [33][6850/7330] lr: 1.000e-05, eta: 1:36:46, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0282, loss_cls: 0.1277, acc: 95.2197, loss_bbox: 0.1809, loss_mask: 0.1985, loss: 0.5537 2023-11-15 06:16:53,635 - mmdet - INFO - Epoch [33][6900/7330] lr: 1.000e-05, eta: 1:36:33, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0259, loss_cls: 0.1237, acc: 95.3652, loss_bbox: 0.1728, loss_mask: 0.1895, loss: 0.5288 2023-11-15 06:17:06,571 - mmdet - INFO - Epoch [33][6950/7330] lr: 1.000e-05, eta: 1:36:20, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0284, loss_cls: 0.1335, acc: 95.0000, loss_bbox: 0.1847, loss_mask: 0.1979, loss: 0.5624 2023-11-15 06:17:19,235 - mmdet - INFO - Epoch [33][7000/7330] lr: 1.000e-05, eta: 1:36:07, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0287, loss_cls: 0.1287, acc: 95.1677, loss_bbox: 0.1785, loss_mask: 0.1931, loss: 0.5464 2023-11-15 06:17:32,097 - mmdet - INFO - Epoch [33][7050/7330] lr: 1.000e-05, eta: 1:35:55, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0291, loss_cls: 0.1327, acc: 95.0051, loss_bbox: 0.1816, loss_mask: 0.1931, loss: 0.5552 2023-11-15 06:17:44,973 - mmdet - INFO - Epoch [33][7100/7330] lr: 1.000e-05, eta: 1:35:42, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0284, loss_cls: 0.1288, acc: 95.1731, loss_bbox: 0.1803, loss_mask: 0.1910, loss: 0.5433 2023-11-15 06:17:57,840 - mmdet - INFO - Epoch [33][7150/7330] lr: 1.000e-05, eta: 1:35:29, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0292, loss_cls: 0.1297, acc: 95.1006, loss_bbox: 0.1822, loss_mask: 0.1929, loss: 0.5524 2023-11-15 06:18:10,690 - mmdet - INFO - Epoch [33][7200/7330] lr: 1.000e-05, eta: 1:35:16, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0290, loss_cls: 0.1355, acc: 94.8306, loss_bbox: 0.1903, loss_mask: 0.1915, loss: 0.5642 2023-11-15 06:18:23,744 - mmdet - INFO - Epoch [33][7250/7330] lr: 1.000e-05, eta: 1:35:03, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0265, loss_cls: 0.1255, acc: 95.1841, loss_bbox: 0.1797, loss_mask: 0.1937, loss: 0.5410 2023-11-15 06:18:36,416 - mmdet - INFO - Epoch [33][7300/7330] lr: 1.000e-05, eta: 1:34:50, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0274, loss_cls: 0.1295, acc: 95.1130, loss_bbox: 0.1774, loss_mask: 0.1924, loss: 0.5439 2023-11-15 06:18:44,601 - mmdet - INFO - Saving checkpoint at 33 epochs 2023-11-15 06:19:25,574 - mmdet - INFO - Evaluating bbox... 2023-11-15 06:19:53,013 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.493 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.704 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.539 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.335 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.530 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 ] = 0.604 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 ] = 0.638 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.750 2023-11-15 06:19:53,016 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.597 | bicycle | 0.391 | car | 0.502 | | motorcycle | 0.516 | airplane | 0.708 | bus | 0.710 | | train | 0.700 | truck | 0.448 | boat | 0.347 | | traffic light | 0.315 | fire hydrant | 0.747 | stop sign | 0.709 | | parking meter | 0.508 | bench | 0.317 | bird | 0.427 | | cat | 0.751 | dog | 0.706 | horse | 0.650 | | sheep | 0.610 | cow | 0.640 | elephant | 0.706 | | bear | 0.797 | zebra | 0.696 | giraffe | 0.723 | | backpack | 0.236 | umbrella | 0.464 | handbag | 0.247 | | tie | 0.417 | suitcase | 0.496 | frisbee | 0.712 | | skis | 0.321 | snowboard | 0.455 | sports ball | 0.476 | | kite | 0.463 | baseball bat | 0.413 | baseball glove | 0.459 | | skateboard | 0.595 | surfboard | 0.469 | tennis racket | 0.569 | | bottle | 0.461 | wine glass | 0.428 | cup | 0.500 | | fork | 0.496 | knife | 0.310 | spoon | 0.317 | | bowl | 0.469 | banana | 0.294 | apple | 0.275 | | sandwich | 0.419 | orange | 0.347 | broccoli | 0.257 | | carrot | 0.250 | hot dog | 0.437 | pizza | 0.572 | | donut | 0.554 | cake | 0.448 | chair | 0.367 | | couch | 0.506 | potted plant | 0.356 | bed | 0.486 | | dining table | 0.328 | toilet | 0.663 | tv | 0.639 | | laptop | 0.707 | mouse | 0.656 | remote | 0.443 | | keyboard | 0.575 | cell phone | 0.465 | microwave | 0.664 | | oven | 0.418 | toaster | 0.539 | sink | 0.456 | | refrigerator | 0.657 | book | 0.211 | clock | 0.515 | | vase | 0.420 | scissors | 0.481 | teddy bear | 0.546 | | hair drier | 0.127 | toothbrush | 0.366 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 06:19:53,016 - mmdet - INFO - Evaluating segm... 2023-11-15 06:20:20,852 - 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 ] = 0.676 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.473 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 ] = 0.471 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 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.544 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 ] = 0.579 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.701 2023-11-15 06:20:20,855 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.515 | bicycle | 0.244 | car | 0.462 | | motorcycle | 0.407 | airplane | 0.551 | bus | 0.692 | | train | 0.680 | truck | 0.424 | boat | 0.310 | | traffic light | 0.303 | fire hydrant | 0.697 | stop sign | 0.680 | | parking meter | 0.518 | bench | 0.229 | bird | 0.354 | | cat | 0.730 | dog | 0.660 | horse | 0.484 | | sheep | 0.531 | cow | 0.549 | elephant | 0.637 | | bear | 0.766 | zebra | 0.587 | giraffe | 0.571 | | backpack | 0.242 | umbrella | 0.515 | handbag | 0.233 | | tie | 0.373 | suitcase | 0.497 | frisbee | 0.654 | | skis | 0.065 | snowboard | 0.290 | sports ball | 0.458 | | kite | 0.324 | baseball bat | 0.320 | baseball glove | 0.468 | | skateboard | 0.386 | surfboard | 0.385 | tennis racket | 0.597 | | bottle | 0.436 | wine glass | 0.383 | cup | 0.498 | | fork | 0.250 | knife | 0.202 | spoon | 0.233 | | bowl | 0.427 | banana | 0.229 | apple | 0.264 | | sandwich | 0.442 | orange | 0.347 | broccoli | 0.232 | | carrot | 0.214 | hot dog | 0.365 | pizza | 0.546 | | donut | 0.553 | cake | 0.451 | chair | 0.263 | | couch | 0.422 | potted plant | 0.297 | bed | 0.402 | | dining table | 0.197 | toilet | 0.639 | tv | 0.668 | | laptop | 0.685 | mouse | 0.646 | remote | 0.391 | | keyboard | 0.561 | cell phone | 0.435 | microwave | 0.680 | | oven | 0.378 | toaster | 0.564 | sink | 0.420 | | refrigerator | 0.664 | book | 0.153 | clock | 0.512 | | vase | 0.402 | scissors | 0.338 | teddy bear | 0.527 | | hair drier | 0.121 | toothbrush | 0.255 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 06:20:21,197 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 06:20:21,199 - mmdet - INFO - Epoch(val) [33][625] bbox_mAP: 0.4930, bbox_mAP_50: 0.7043, bbox_mAP_75: 0.5387, bbox_mAP_s: 0.3348, bbox_mAP_m: 0.5297, bbox_mAP_l: 0.6382, bbox_mAP_copypaste: 0.4930 0.7043 0.5387 0.3348 0.5297 0.6382, segm_mAP: 0.4386, segm_mAP_50: 0.6762, segm_mAP_75: 0.4726, segm_mAP_s: 0.2525, segm_mAP_m: 0.4707, segm_mAP_l: 0.6236, segm_mAP_copypaste: 0.4386 0.6762 0.4726 0.2525 0.4707 0.6236 2023-11-15 06:20:37,582 - mmdet - INFO - Epoch [34][50/7330] lr: 1.000e-06, eta: 1:34:29, time: 0.327, data_time: 0.076, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0271, loss_cls: 0.1262, acc: 95.1240, loss_bbox: 0.1798, loss_mask: 0.1929, loss: 0.5424 2023-11-15 06:20:50,869 - mmdet - INFO - Epoch [34][100/7330] lr: 1.000e-06, eta: 1:34:16, time: 0.266, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0289, loss_cls: 0.1319, acc: 95.0198, loss_bbox: 0.1839, loss_mask: 0.1954, loss: 0.5577 2023-11-15 06:21:04,061 - mmdet - INFO - Epoch [34][150/7330] lr: 1.000e-06, eta: 1:34:03, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0251, loss_cls: 0.1234, acc: 95.2849, loss_bbox: 0.1735, loss_mask: 0.1869, loss: 0.5255 2023-11-15 06:21:17,062 - mmdet - INFO - Epoch [34][200/7330] lr: 1.000e-06, eta: 1:33:50, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0292, loss_cls: 0.1327, acc: 94.9958, loss_bbox: 0.1887, loss_mask: 0.1973, loss: 0.5655 2023-11-15 06:21:30,130 - mmdet - INFO - Epoch [34][250/7330] lr: 1.000e-06, eta: 1:33:37, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0275, loss_cls: 0.1277, acc: 95.2026, loss_bbox: 0.1794, loss_mask: 0.1951, loss: 0.5456 2023-11-15 06:21:42,973 - mmdet - INFO - Epoch [34][300/7330] lr: 1.000e-06, eta: 1:33:24, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0268, loss_cls: 0.1271, acc: 95.1958, loss_bbox: 0.1774, loss_mask: 0.1918, loss: 0.5396 2023-11-15 06:21:56,044 - mmdet - INFO - Epoch [34][350/7330] lr: 1.000e-06, eta: 1:33:11, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0278, loss_cls: 0.1251, acc: 95.2122, loss_bbox: 0.1780, loss_mask: 0.1899, loss: 0.5373 2023-11-15 06:22:08,836 - mmdet - INFO - Epoch [34][400/7330] lr: 1.000e-06, eta: 1:32:58, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0274, loss_cls: 0.1256, acc: 95.3164, loss_bbox: 0.1768, loss_mask: 0.1897, loss: 0.5363 2023-11-15 06:22:21,702 - mmdet - INFO - Epoch [34][450/7330] lr: 1.000e-06, eta: 1:32:46, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0267, loss_cls: 0.1248, acc: 95.2268, loss_bbox: 0.1768, loss_mask: 0.1892, loss: 0.5335 2023-11-15 06:22:34,908 - mmdet - INFO - Epoch [34][500/7330] lr: 1.000e-06, eta: 1:32:33, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0284, loss_cls: 0.1201, acc: 95.4517, loss_bbox: 0.1723, loss_mask: 0.1908, loss: 0.5288 2023-11-15 06:22:48,053 - mmdet - INFO - Epoch [34][550/7330] lr: 1.000e-06, eta: 1:32:20, time: 0.263, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0277, loss_cls: 0.1254, acc: 95.2473, loss_bbox: 0.1761, loss_mask: 0.1901, loss: 0.5350 2023-11-15 06:23:01,037 - mmdet - INFO - Epoch [34][600/7330] lr: 1.000e-06, eta: 1:32:07, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0280, loss_cls: 0.1305, acc: 95.0703, loss_bbox: 0.1824, loss_mask: 0.1922, loss: 0.5497 2023-11-15 06:23:14,350 - mmdet - INFO - Epoch [34][650/7330] lr: 1.000e-06, eta: 1:31:54, time: 0.266, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0303, loss_cls: 0.1352, acc: 94.8313, loss_bbox: 0.1903, loss_mask: 0.1983, loss: 0.5727 2023-11-15 06:23:27,042 - mmdet - INFO - Epoch [34][700/7330] lr: 1.000e-06, eta: 1:31:41, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0273, loss_cls: 0.1285, acc: 95.1890, loss_bbox: 0.1790, loss_mask: 0.1940, loss: 0.5460 2023-11-15 06:23:40,034 - mmdet - INFO - Epoch [34][750/7330] lr: 1.000e-06, eta: 1:31:28, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0187, loss_rpn_bbox: 0.0287, loss_cls: 0.1334, acc: 94.9692, loss_bbox: 0.1821, loss_mask: 0.1955, loss: 0.5584 2023-11-15 06:23:53,089 - mmdet - INFO - Epoch [34][800/7330] lr: 1.000e-06, eta: 1:31:15, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0279, loss_cls: 0.1258, acc: 95.1936, loss_bbox: 0.1790, loss_mask: 0.1915, loss: 0.5406 2023-11-15 06:24:06,360 - mmdet - INFO - Epoch [34][850/7330] lr: 1.000e-06, eta: 1:31:02, time: 0.265, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0277, loss_cls: 0.1310, acc: 95.0691, loss_bbox: 0.1799, loss_mask: 0.1917, loss: 0.5481 2023-11-15 06:24:19,395 - mmdet - INFO - Epoch [34][900/7330] lr: 1.000e-06, eta: 1:30:49, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0277, loss_cls: 0.1254, acc: 95.2441, loss_bbox: 0.1783, loss_mask: 0.1885, loss: 0.5371 2023-11-15 06:24:32,350 - mmdet - INFO - Epoch [34][950/7330] lr: 1.000e-06, eta: 1:30:36, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0274, loss_cls: 0.1258, acc: 95.2339, loss_bbox: 0.1784, loss_mask: 0.1892, loss: 0.5364 2023-11-15 06:24:45,072 - mmdet - INFO - Epoch [34][1000/7330] lr: 1.000e-06, eta: 1:30:24, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0277, loss_cls: 0.1227, acc: 95.3513, loss_bbox: 0.1743, loss_mask: 0.1887, loss: 0.5287 2023-11-15 06:24:57,969 - mmdet - INFO - Epoch [34][1050/7330] lr: 1.000e-06, eta: 1:30:11, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0270, loss_cls: 0.1220, acc: 95.3318, loss_bbox: 0.1716, loss_mask: 0.1891, loss: 0.5254 2023-11-15 06:25:11,198 - mmdet - INFO - Epoch [34][1100/7330] lr: 1.000e-06, eta: 1:29:58, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0268, loss_cls: 0.1258, acc: 95.2734, loss_bbox: 0.1772, loss_mask: 0.1888, loss: 0.5349 2023-11-15 06:25:24,199 - mmdet - INFO - Epoch [34][1150/7330] lr: 1.000e-06, eta: 1:29:45, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0262, loss_cls: 0.1246, acc: 95.2986, loss_bbox: 0.1794, loss_mask: 0.1898, loss: 0.5357 2023-11-15 06:25:36,969 - mmdet - INFO - Epoch [34][1200/7330] lr: 1.000e-06, eta: 1:29:32, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0197, loss_rpn_bbox: 0.0268, loss_cls: 0.1330, acc: 94.9917, loss_bbox: 0.1826, loss_mask: 0.1924, loss: 0.5545 2023-11-15 06:25:49,878 - mmdet - INFO - Epoch [34][1250/7330] lr: 1.000e-06, eta: 1:29:19, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0282, loss_cls: 0.1290, acc: 95.1030, loss_bbox: 0.1789, loss_mask: 0.1955, loss: 0.5479 2023-11-15 06:26:02,673 - mmdet - INFO - Epoch [34][1300/7330] lr: 1.000e-06, eta: 1:29:06, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0261, loss_cls: 0.1190, acc: 95.5332, loss_bbox: 0.1689, loss_mask: 0.1888, loss: 0.5173 2023-11-15 06:26:15,565 - mmdet - INFO - Epoch [34][1350/7330] lr: 1.000e-06, eta: 1:28:53, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0275, loss_cls: 0.1220, acc: 95.3533, loss_bbox: 0.1769, loss_mask: 0.1886, loss: 0.5316 2023-11-15 06:26:28,513 - mmdet - INFO - Epoch [34][1400/7330] lr: 1.000e-06, eta: 1:28:40, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0270, loss_cls: 0.1265, acc: 95.2141, loss_bbox: 0.1781, loss_mask: 0.1922, loss: 0.5405 2023-11-15 06:26:41,407 - mmdet - INFO - Epoch [34][1450/7330] lr: 1.000e-06, eta: 1:28:27, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0288, loss_cls: 0.1336, acc: 94.9448, loss_bbox: 0.1872, loss_mask: 0.1947, loss: 0.5625 2023-11-15 06:26:54,376 - mmdet - INFO - Epoch [34][1500/7330] lr: 1.000e-06, eta: 1:28:14, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0265, loss_cls: 0.1221, acc: 95.3867, loss_bbox: 0.1705, loss_mask: 0.1888, loss: 0.5239 2023-11-15 06:27:07,355 - mmdet - INFO - Epoch [34][1550/7330] lr: 1.000e-06, eta: 1:28:01, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0283, loss_cls: 0.1316, acc: 95.0220, loss_bbox: 0.1835, loss_mask: 0.1953, loss: 0.5552 2023-11-15 06:27:20,493 - mmdet - INFO - Epoch [34][1600/7330] lr: 1.000e-06, eta: 1:27:49, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0294, loss_cls: 0.1310, acc: 95.0059, loss_bbox: 0.1805, loss_mask: 0.1893, loss: 0.5481 2023-11-15 06:27:33,316 - mmdet - INFO - Epoch [34][1650/7330] lr: 1.000e-06, eta: 1:27:36, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0288, loss_cls: 0.1272, acc: 95.2197, loss_bbox: 0.1790, loss_mask: 0.1926, loss: 0.5443 2023-11-15 06:27:46,249 - mmdet - INFO - Epoch [34][1700/7330] lr: 1.000e-06, eta: 1:27:23, time: 0.259, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0267, loss_cls: 0.1268, acc: 95.2617, loss_bbox: 0.1774, loss_mask: 0.1949, loss: 0.5426 2023-11-15 06:27:59,217 - mmdet - INFO - Epoch [34][1750/7330] lr: 1.000e-06, eta: 1:27:10, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0279, loss_cls: 0.1298, acc: 95.0725, loss_bbox: 0.1819, loss_mask: 0.1896, loss: 0.5465 2023-11-15 06:28:12,299 - mmdet - INFO - Epoch [34][1800/7330] lr: 1.000e-06, eta: 1:26:57, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0267, loss_cls: 0.1260, acc: 95.2432, loss_bbox: 0.1762, loss_mask: 0.1900, loss: 0.5346 2023-11-15 06:28:25,383 - mmdet - INFO - Epoch [34][1850/7330] lr: 1.000e-06, eta: 1:26:44, time: 0.262, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0288, loss_cls: 0.1344, acc: 94.9128, loss_bbox: 0.1880, loss_mask: 0.1978, loss: 0.5673 2023-11-15 06:28:38,269 - mmdet - INFO - Epoch [34][1900/7330] lr: 1.000e-06, eta: 1:26:31, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0258, loss_cls: 0.1251, acc: 95.2456, loss_bbox: 0.1784, loss_mask: 0.1896, loss: 0.5341 2023-11-15 06:28:51,204 - mmdet - INFO - Epoch [34][1950/7330] lr: 1.000e-06, eta: 1:26:18, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0260, loss_cls: 0.1268, acc: 95.2048, loss_bbox: 0.1803, loss_mask: 0.1886, loss: 0.5374 2023-11-15 06:29:04,233 - mmdet - INFO - Epoch [34][2000/7330] lr: 1.000e-06, eta: 1:26:05, time: 0.261, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0256, loss_cls: 0.1236, acc: 95.2866, loss_bbox: 0.1767, loss_mask: 0.1839, loss: 0.5252 2023-11-15 06:29:17,388 - mmdet - INFO - Epoch [34][2050/7330] lr: 1.000e-06, eta: 1:25:52, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0271, loss_cls: 0.1242, acc: 95.2959, loss_bbox: 0.1746, loss_mask: 0.1915, loss: 0.5325 2023-11-15 06:29:30,300 - mmdet - INFO - Epoch [34][2100/7330] lr: 1.000e-06, eta: 1:25:39, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0293, loss_cls: 0.1319, acc: 94.9766, loss_bbox: 0.1827, loss_mask: 0.1937, loss: 0.5543 2023-11-15 06:29:43,136 - mmdet - INFO - Epoch [34][2150/7330] lr: 1.000e-06, eta: 1:25:26, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0282, loss_cls: 0.1301, acc: 95.0540, loss_bbox: 0.1868, loss_mask: 0.1898, loss: 0.5510 2023-11-15 06:29:56,092 - mmdet - INFO - Epoch [34][2200/7330] lr: 1.000e-06, eta: 1:25:14, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0273, loss_cls: 0.1238, acc: 95.2939, loss_bbox: 0.1727, loss_mask: 0.1901, loss: 0.5307 2023-11-15 06:30:09,327 - mmdet - INFO - Epoch [34][2250/7330] lr: 1.000e-06, eta: 1:25:01, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0280, loss_cls: 0.1260, acc: 95.2275, loss_bbox: 0.1745, loss_mask: 0.1889, loss: 0.5330 2023-11-15 06:30:22,338 - mmdet - INFO - Epoch [34][2300/7330] lr: 1.000e-06, eta: 1:24:48, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0275, loss_cls: 0.1290, acc: 95.1104, loss_bbox: 0.1800, loss_mask: 0.1929, loss: 0.5459 2023-11-15 06:30:35,159 - mmdet - INFO - Epoch [34][2350/7330] lr: 1.000e-06, eta: 1:24:35, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0268, loss_cls: 0.1284, acc: 95.1653, loss_bbox: 0.1783, loss_mask: 0.1915, loss: 0.5406 2023-11-15 06:30:48,020 - mmdet - INFO - Epoch [34][2400/7330] lr: 1.000e-06, eta: 1:24:22, time: 0.257, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0243, loss_cls: 0.1183, acc: 95.6133, loss_bbox: 0.1678, loss_mask: 0.1875, loss: 0.5117 2023-11-15 06:31:00,901 - mmdet - INFO - Epoch [34][2450/7330] lr: 1.000e-06, eta: 1:24:09, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0289, loss_cls: 0.1306, acc: 95.0889, loss_bbox: 0.1811, loss_mask: 0.1982, loss: 0.5571 2023-11-15 06:31:13,685 - mmdet - INFO - Epoch [34][2500/7330] lr: 1.000e-06, eta: 1:23:56, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0257, loss_cls: 0.1298, acc: 95.1096, loss_bbox: 0.1774, loss_mask: 0.1934, loss: 0.5430 2023-11-15 06:31:26,380 - mmdet - INFO - Epoch [34][2550/7330] lr: 1.000e-06, eta: 1:23:43, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0272, loss_cls: 0.1319, acc: 95.0393, loss_bbox: 0.1830, loss_mask: 0.1930, loss: 0.5531 2023-11-15 06:31:38,775 - mmdet - INFO - Epoch [34][2600/7330] lr: 1.000e-06, eta: 1:23:30, time: 0.248, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0254, loss_cls: 0.1207, acc: 95.4620, loss_bbox: 0.1726, loss_mask: 0.1873, loss: 0.5212 2023-11-15 06:31:51,508 - mmdet - INFO - Epoch [34][2650/7330] lr: 1.000e-06, eta: 1:23:17, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0285, loss_cls: 0.1300, acc: 95.0823, loss_bbox: 0.1810, loss_mask: 0.1901, loss: 0.5463 2023-11-15 06:32:04,402 - mmdet - INFO - Epoch [34][2700/7330] lr: 1.000e-06, eta: 1:23:04, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0260, loss_cls: 0.1208, acc: 95.3879, loss_bbox: 0.1728, loss_mask: 0.1907, loss: 0.5261 2023-11-15 06:32:17,621 - mmdet - INFO - Epoch [34][2750/7330] lr: 1.000e-06, eta: 1:22:51, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0278, loss_cls: 0.1305, acc: 95.0369, loss_bbox: 0.1826, loss_mask: 0.1898, loss: 0.5481 2023-11-15 06:32:30,371 - mmdet - INFO - Epoch [34][2800/7330] lr: 1.000e-06, eta: 1:22:38, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0261, loss_cls: 0.1218, acc: 95.3772, loss_bbox: 0.1724, loss_mask: 0.1896, loss: 0.5243 2023-11-15 06:32:42,811 - mmdet - INFO - Epoch [34][2850/7330] lr: 1.000e-06, eta: 1:22:25, time: 0.249, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0256, loss_cls: 0.1270, acc: 95.2336, loss_bbox: 0.1822, loss_mask: 0.1920, loss: 0.5418 2023-11-15 06:32:55,302 - mmdet - INFO - Epoch [34][2900/7330] lr: 1.000e-06, eta: 1:22:13, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0264, loss_cls: 0.1295, acc: 95.1265, loss_bbox: 0.1776, loss_mask: 0.1875, loss: 0.5379 2023-11-15 06:33:08,371 - mmdet - INFO - Epoch [34][2950/7330] lr: 1.000e-06, eta: 1:22:00, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0257, loss_cls: 0.1249, acc: 95.2971, loss_bbox: 0.1747, loss_mask: 0.1895, loss: 0.5296 2023-11-15 06:33:21,220 - mmdet - INFO - Epoch [34][3000/7330] lr: 1.000e-06, eta: 1:21:47, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0266, loss_cls: 0.1279, acc: 95.2500, loss_bbox: 0.1760, loss_mask: 0.1949, loss: 0.5409 2023-11-15 06:33:33,903 - mmdet - INFO - Epoch [34][3050/7330] lr: 1.000e-06, eta: 1:21:34, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0281, loss_cls: 0.1288, acc: 95.1777, loss_bbox: 0.1817, loss_mask: 0.1930, loss: 0.5474 2023-11-15 06:33:46,838 - mmdet - INFO - Epoch [34][3100/7330] lr: 1.000e-06, eta: 1:21:21, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0270, loss_cls: 0.1245, acc: 95.3557, loss_bbox: 0.1732, loss_mask: 0.1907, loss: 0.5312 2023-11-15 06:33:59,973 - mmdet - INFO - Epoch [34][3150/7330] lr: 1.000e-06, eta: 1:21:08, time: 0.263, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0277, loss_cls: 0.1306, acc: 95.0762, loss_bbox: 0.1797, loss_mask: 0.1919, loss: 0.5478 2023-11-15 06:34:13,117 - mmdet - INFO - Epoch [34][3200/7330] lr: 1.000e-06, eta: 1:20:55, time: 0.263, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0287, loss_cls: 0.1321, acc: 94.9800, loss_bbox: 0.1786, loss_mask: 0.1919, loss: 0.5464 2023-11-15 06:34:25,869 - mmdet - INFO - Epoch [34][3250/7330] lr: 1.000e-06, eta: 1:20:42, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0294, loss_cls: 0.1382, acc: 94.8088, loss_bbox: 0.1892, loss_mask: 0.1965, loss: 0.5717 2023-11-15 06:34:38,962 - mmdet - INFO - Epoch [34][3300/7330] lr: 1.000e-06, eta: 1:20:29, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0274, loss_cls: 0.1258, acc: 95.1890, loss_bbox: 0.1799, loss_mask: 0.1923, loss: 0.5419 2023-11-15 06:34:51,497 - mmdet - INFO - Epoch [34][3350/7330] lr: 1.000e-06, eta: 1:20:16, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0271, loss_cls: 0.1246, acc: 95.2041, loss_bbox: 0.1745, loss_mask: 0.1926, loss: 0.5366 2023-11-15 06:35:04,177 - mmdet - INFO - Epoch [34][3400/7330] lr: 1.000e-06, eta: 1:20:03, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0269, loss_cls: 0.1266, acc: 95.2041, loss_bbox: 0.1747, loss_mask: 0.1909, loss: 0.5338 2023-11-15 06:35:17,135 - mmdet - INFO - Epoch [34][3450/7330] lr: 1.000e-06, eta: 1:19:50, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0283, loss_cls: 0.1258, acc: 95.2654, loss_bbox: 0.1771, loss_mask: 0.1893, loss: 0.5356 2023-11-15 06:35:30,330 - mmdet - INFO - Epoch [34][3500/7330] lr: 1.000e-06, eta: 1:19:37, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0280, loss_cls: 0.1283, acc: 95.0923, loss_bbox: 0.1804, loss_mask: 0.1889, loss: 0.5410 2023-11-15 06:35:43,198 - mmdet - INFO - Epoch [34][3550/7330] lr: 1.000e-06, eta: 1:19:25, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0257, loss_cls: 0.1251, acc: 95.3391, loss_bbox: 0.1758, loss_mask: 0.1899, loss: 0.5344 2023-11-15 06:35:56,104 - mmdet - INFO - Epoch [34][3600/7330] lr: 1.000e-06, eta: 1:19:12, time: 0.258, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0274, loss_cls: 0.1302, acc: 95.1138, loss_bbox: 0.1791, loss_mask: 0.1882, loss: 0.5410 2023-11-15 06:36:08,951 - mmdet - INFO - Epoch [34][3650/7330] lr: 1.000e-06, eta: 1:18:59, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0301, loss_cls: 0.1359, acc: 94.8896, loss_bbox: 0.1863, loss_mask: 0.1936, loss: 0.5633 2023-11-15 06:36:21,818 - mmdet - INFO - Epoch [34][3700/7330] lr: 1.000e-06, eta: 1:18:46, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0296, loss_cls: 0.1321, acc: 95.0371, loss_bbox: 0.1839, loss_mask: 0.1924, loss: 0.5562 2023-11-15 06:36:34,930 - mmdet - INFO - Epoch [34][3750/7330] lr: 1.000e-06, eta: 1:18:33, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0273, loss_cls: 0.1278, acc: 95.1230, loss_bbox: 0.1804, loss_mask: 0.1912, loss: 0.5426 2023-11-15 06:36:47,665 - mmdet - INFO - Epoch [34][3800/7330] lr: 1.000e-06, eta: 1:18:20, time: 0.255, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0284, loss_cls: 0.1293, acc: 95.0476, loss_bbox: 0.1834, loss_mask: 0.1916, loss: 0.5497 2023-11-15 06:37:00,347 - mmdet - INFO - Epoch [34][3850/7330] lr: 1.000e-06, eta: 1:18:07, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0244, loss_cls: 0.1213, acc: 95.4270, loss_bbox: 0.1702, loss_mask: 0.1851, loss: 0.5153 2023-11-15 06:37:13,216 - mmdet - INFO - Epoch [34][3900/7330] lr: 1.000e-06, eta: 1:17:54, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0283, loss_cls: 0.1305, acc: 95.0591, loss_bbox: 0.1849, loss_mask: 0.1942, loss: 0.5548 2023-11-15 06:37:26,047 - mmdet - INFO - Epoch [34][3950/7330] lr: 1.000e-06, eta: 1:17:41, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0267, loss_cls: 0.1235, acc: 95.2539, loss_bbox: 0.1776, loss_mask: 0.1913, loss: 0.5342 2023-11-15 06:37:42,964 - mmdet - INFO - Epoch [34][4000/7330] lr: 1.000e-06, eta: 1:17:29, time: 0.338, data_time: 0.089, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0282, loss_cls: 0.1276, acc: 95.2478, loss_bbox: 0.1806, loss_mask: 0.1869, loss: 0.5404 2023-11-15 06:37:55,645 - mmdet - INFO - Epoch [34][4050/7330] lr: 1.000e-06, eta: 1:17:16, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0285, loss_cls: 0.1317, acc: 95.0269, loss_bbox: 0.1805, loss_mask: 0.1905, loss: 0.5482 2023-11-15 06:38:08,482 - mmdet - INFO - Epoch [34][4100/7330] lr: 1.000e-06, eta: 1:17:03, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0278, loss_cls: 0.1289, acc: 95.0815, loss_bbox: 0.1785, loss_mask: 0.1887, loss: 0.5413 2023-11-15 06:38:21,517 - mmdet - INFO - Epoch [34][4150/7330] lr: 1.000e-06, eta: 1:16:50, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0276, loss_cls: 0.1238, acc: 95.3406, loss_bbox: 0.1754, loss_mask: 0.1881, loss: 0.5306 2023-11-15 06:38:34,205 - mmdet - INFO - Epoch [34][4200/7330] lr: 1.000e-06, eta: 1:16:37, time: 0.254, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0271, loss_cls: 0.1287, acc: 95.1890, loss_bbox: 0.1806, loss_mask: 0.1880, loss: 0.5408 2023-11-15 06:38:46,817 - mmdet - INFO - Epoch [34][4250/7330] lr: 1.000e-06, eta: 1:16:24, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0272, loss_cls: 0.1287, acc: 95.1458, loss_bbox: 0.1785, loss_mask: 0.1918, loss: 0.5440 2023-11-15 06:39:00,037 - mmdet - INFO - Epoch [34][4300/7330] lr: 1.000e-06, eta: 1:16:11, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0267, loss_cls: 0.1240, acc: 95.3274, loss_bbox: 0.1755, loss_mask: 0.1859, loss: 0.5278 2023-11-15 06:39:13,090 - mmdet - INFO - Epoch [34][4350/7330] lr: 1.000e-06, eta: 1:15:58, time: 0.261, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0139, loss_rpn_bbox: 0.0262, loss_cls: 0.1230, acc: 95.2378, loss_bbox: 0.1783, loss_mask: 0.1923, loss: 0.5336 2023-11-15 06:39:26,005 - mmdet - INFO - Epoch [34][4400/7330] lr: 1.000e-06, eta: 1:15:45, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0271, loss_cls: 0.1223, acc: 95.3938, loss_bbox: 0.1710, loss_mask: 0.1871, loss: 0.5241 2023-11-15 06:39:38,913 - mmdet - INFO - Epoch [34][4450/7330] lr: 1.000e-06, eta: 1:15:32, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0285, loss_cls: 0.1287, acc: 95.1208, loss_bbox: 0.1813, loss_mask: 0.1969, loss: 0.5526 2023-11-15 06:39:51,896 - mmdet - INFO - Epoch [34][4500/7330] lr: 1.000e-06, eta: 1:15:19, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0288, loss_cls: 0.1281, acc: 95.1587, loss_bbox: 0.1806, loss_mask: 0.1932, loss: 0.5465 2023-11-15 06:40:04,632 - mmdet - INFO - Epoch [34][4550/7330] lr: 1.000e-06, eta: 1:15:06, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0253, loss_cls: 0.1207, acc: 95.4297, loss_bbox: 0.1707, loss_mask: 0.1933, loss: 0.5241 2023-11-15 06:40:17,727 - mmdet - INFO - Epoch [34][4600/7330] lr: 1.000e-06, eta: 1:14:53, time: 0.262, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0304, loss_cls: 0.1329, acc: 94.9399, loss_bbox: 0.1847, loss_mask: 0.1958, loss: 0.5622 2023-11-15 06:40:30,878 - mmdet - INFO - Epoch [34][4650/7330] lr: 1.000e-06, eta: 1:14:41, time: 0.263, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0277, loss_cls: 0.1282, acc: 95.1750, loss_bbox: 0.1807, loss_mask: 0.1918, loss: 0.5445 2023-11-15 06:40:43,825 - mmdet - INFO - Epoch [34][4700/7330] lr: 1.000e-06, eta: 1:14:28, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0280, loss_cls: 0.1258, acc: 95.2100, loss_bbox: 0.1765, loss_mask: 0.1892, loss: 0.5347 2023-11-15 06:40:56,861 - mmdet - INFO - Epoch [34][4750/7330] lr: 1.000e-06, eta: 1:14:15, time: 0.261, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0281, loss_cls: 0.1279, acc: 95.2329, loss_bbox: 0.1791, loss_mask: 0.1934, loss: 0.5441 2023-11-15 06:41:09,463 - mmdet - INFO - Epoch [34][4800/7330] lr: 1.000e-06, eta: 1:14:02, time: 0.252, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0280, loss_cls: 0.1311, acc: 95.0664, loss_bbox: 0.1823, loss_mask: 0.1893, loss: 0.5478 2023-11-15 06:41:22,661 - mmdet - INFO - Epoch [34][4850/7330] lr: 1.000e-06, eta: 1:13:49, time: 0.264, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0289, loss_cls: 0.1288, acc: 95.1328, loss_bbox: 0.1821, loss_mask: 0.1960, loss: 0.5525 2023-11-15 06:41:35,780 - mmdet - INFO - Epoch [34][4900/7330] lr: 1.000e-06, eta: 1:13:36, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0280, loss_cls: 0.1279, acc: 95.2625, loss_bbox: 0.1778, loss_mask: 0.1861, loss: 0.5375 2023-11-15 06:41:48,544 - mmdet - INFO - Epoch [34][4950/7330] lr: 1.000e-06, eta: 1:13:23, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0287, loss_cls: 0.1274, acc: 95.1982, loss_bbox: 0.1828, loss_mask: 0.1981, loss: 0.5536 2023-11-15 06:42:01,148 - mmdet - INFO - Epoch [34][5000/7330] lr: 1.000e-06, eta: 1:13:10, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0266, loss_cls: 0.1287, acc: 95.1133, loss_bbox: 0.1790, loss_mask: 0.1922, loss: 0.5432 2023-11-15 06:42:13,902 - mmdet - INFO - Epoch [34][5050/7330] lr: 1.000e-06, eta: 1:12:57, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0252, loss_cls: 0.1188, acc: 95.5010, loss_bbox: 0.1718, loss_mask: 0.1894, loss: 0.5207 2023-11-15 06:42:26,835 - mmdet - INFO - Epoch [34][5100/7330] lr: 1.000e-06, eta: 1:12:44, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0276, loss_cls: 0.1260, acc: 95.2280, loss_bbox: 0.1747, loss_mask: 0.1886, loss: 0.5331 2023-11-15 06:42:39,506 - mmdet - INFO - Epoch [34][5150/7330] lr: 1.000e-06, eta: 1:12:31, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0255, loss_cls: 0.1210, acc: 95.4409, loss_bbox: 0.1719, loss_mask: 0.1901, loss: 0.5233 2023-11-15 06:42:52,165 - mmdet - INFO - Epoch [34][5200/7330] lr: 1.000e-06, eta: 1:12:18, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0273, loss_cls: 0.1310, acc: 95.0583, loss_bbox: 0.1834, loss_mask: 0.1928, loss: 0.5503 2023-11-15 06:43:05,354 - mmdet - INFO - Epoch [34][5250/7330] lr: 1.000e-06, eta: 1:12:05, time: 0.264, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0279, loss_cls: 0.1246, acc: 95.1689, loss_bbox: 0.1782, loss_mask: 0.1905, loss: 0.5360 2023-11-15 06:43:18,153 - mmdet - INFO - Epoch [34][5300/7330] lr: 1.000e-06, eta: 1:11:53, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0275, loss_cls: 0.1274, acc: 95.1326, loss_bbox: 0.1764, loss_mask: 0.1928, loss: 0.5397 2023-11-15 06:43:30,840 - mmdet - INFO - Epoch [34][5350/7330] lr: 1.000e-06, eta: 1:11:40, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0254, loss_cls: 0.1178, acc: 95.5234, loss_bbox: 0.1689, loss_mask: 0.1885, loss: 0.5154 2023-11-15 06:43:43,831 - mmdet - INFO - Epoch [34][5400/7330] lr: 1.000e-06, eta: 1:11:27, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0282, loss_cls: 0.1255, acc: 95.3196, loss_bbox: 0.1793, loss_mask: 0.1919, loss: 0.5415 2023-11-15 06:43:56,739 - mmdet - INFO - Epoch [34][5450/7330] lr: 1.000e-06, eta: 1:11:14, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0198, loss_rpn_bbox: 0.0294, loss_cls: 0.1321, acc: 94.9700, loss_bbox: 0.1842, loss_mask: 0.1959, loss: 0.5615 2023-11-15 06:44:09,640 - mmdet - INFO - Epoch [34][5500/7330] lr: 1.000e-06, eta: 1:11:01, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0287, loss_cls: 0.1320, acc: 95.0869, loss_bbox: 0.1821, loss_mask: 0.1911, loss: 0.5509 2023-11-15 06:44:22,528 - mmdet - INFO - Epoch [34][5550/7330] lr: 1.000e-06, eta: 1:10:48, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0267, loss_cls: 0.1282, acc: 95.2288, loss_bbox: 0.1836, loss_mask: 0.1924, loss: 0.5471 2023-11-15 06:44:35,328 - mmdet - INFO - Epoch [34][5600/7330] lr: 1.000e-06, eta: 1:10:35, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0285, loss_cls: 0.1279, acc: 95.0715, loss_bbox: 0.1811, loss_mask: 0.1955, loss: 0.5498 2023-11-15 06:44:48,171 - mmdet - INFO - Epoch [34][5650/7330] lr: 1.000e-06, eta: 1:10:22, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0281, loss_cls: 0.1270, acc: 95.2087, loss_bbox: 0.1772, loss_mask: 0.1906, loss: 0.5391 2023-11-15 06:45:01,232 - mmdet - INFO - Epoch [34][5700/7330] lr: 1.000e-06, eta: 1:10:09, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0285, loss_cls: 0.1331, acc: 94.9404, loss_bbox: 0.1838, loss_mask: 0.1959, loss: 0.5582 2023-11-15 06:45:13,871 - mmdet - INFO - Epoch [34][5750/7330] lr: 1.000e-06, eta: 1:09:56, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0266, loss_cls: 0.1238, acc: 95.3154, loss_bbox: 0.1762, loss_mask: 0.1891, loss: 0.5314 2023-11-15 06:45:26,458 - mmdet - INFO - Epoch [34][5800/7330] lr: 1.000e-06, eta: 1:09:43, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0274, loss_cls: 0.1265, acc: 95.2205, loss_bbox: 0.1797, loss_mask: 0.1901, loss: 0.5405 2023-11-15 06:45:39,117 - mmdet - INFO - Epoch [34][5850/7330] lr: 1.000e-06, eta: 1:09:30, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0275, loss_cls: 0.1260, acc: 95.2803, loss_bbox: 0.1743, loss_mask: 0.1915, loss: 0.5351 2023-11-15 06:45:52,444 - mmdet - INFO - Epoch [34][5900/7330] lr: 1.000e-06, eta: 1:09:17, time: 0.267, data_time: 0.030, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0296, loss_cls: 0.1334, acc: 94.9626, loss_bbox: 0.1863, loss_mask: 0.1946, loss: 0.5614 2023-11-15 06:46:05,614 - mmdet - INFO - Epoch [34][5950/7330] lr: 1.000e-06, eta: 1:09:05, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0289, loss_cls: 0.1261, acc: 95.2380, loss_bbox: 0.1755, loss_mask: 0.1866, loss: 0.5337 2023-11-15 06:46:18,631 - mmdet - INFO - Epoch [34][6000/7330] lr: 1.000e-06, eta: 1:08:52, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0268, loss_cls: 0.1259, acc: 95.0967, loss_bbox: 0.1764, loss_mask: 0.1948, loss: 0.5392 2023-11-15 06:46:31,405 - mmdet - INFO - Epoch [34][6050/7330] lr: 1.000e-06, eta: 1:08:39, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0265, loss_cls: 0.1285, acc: 95.1304, loss_bbox: 0.1785, loss_mask: 0.1880, loss: 0.5389 2023-11-15 06:46:44,133 - mmdet - INFO - Epoch [34][6100/7330] lr: 1.000e-06, eta: 1:08:26, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0282, loss_cls: 0.1294, acc: 95.1223, loss_bbox: 0.1821, loss_mask: 0.1927, loss: 0.5493 2023-11-15 06:46:56,804 - mmdet - INFO - Epoch [34][6150/7330] lr: 1.000e-06, eta: 1:08:13, time: 0.253, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0289, loss_cls: 0.1307, acc: 95.0537, loss_bbox: 0.1852, loss_mask: 0.1946, loss: 0.5561 2023-11-15 06:47:09,649 - mmdet - INFO - Epoch [34][6200/7330] lr: 1.000e-06, eta: 1:08:00, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0280, loss_cls: 0.1245, acc: 95.2644, loss_bbox: 0.1748, loss_mask: 0.1910, loss: 0.5343 2023-11-15 06:47:22,512 - mmdet - INFO - Epoch [34][6250/7330] lr: 1.000e-06, eta: 1:07:47, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0269, loss_cls: 0.1227, acc: 95.3430, loss_bbox: 0.1760, loss_mask: 0.1900, loss: 0.5315 2023-11-15 06:47:35,399 - mmdet - INFO - Epoch [34][6300/7330] lr: 1.000e-06, eta: 1:07:34, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0274, loss_cls: 0.1228, acc: 95.3611, loss_bbox: 0.1720, loss_mask: 0.1931, loss: 0.5324 2023-11-15 06:47:48,135 - mmdet - INFO - Epoch [34][6350/7330] lr: 1.000e-06, eta: 1:07:21, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0277, loss_cls: 0.1241, acc: 95.2583, loss_bbox: 0.1747, loss_mask: 0.1924, loss: 0.5351 2023-11-15 06:48:00,853 - mmdet - INFO - Epoch [34][6400/7330] lr: 1.000e-06, eta: 1:07:08, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0285, loss_cls: 0.1319, acc: 94.9968, loss_bbox: 0.1871, loss_mask: 0.1983, loss: 0.5617 2023-11-15 06:48:13,840 - mmdet - INFO - Epoch [34][6450/7330] lr: 1.000e-06, eta: 1:06:55, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0260, loss_cls: 0.1216, acc: 95.3904, loss_bbox: 0.1752, loss_mask: 0.1882, loss: 0.5260 2023-11-15 06:48:26,577 - mmdet - INFO - Epoch [34][6500/7330] lr: 1.000e-06, eta: 1:06:42, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0272, loss_cls: 0.1269, acc: 95.2002, loss_bbox: 0.1808, loss_mask: 0.1926, loss: 0.5428 2023-11-15 06:48:39,306 - mmdet - INFO - Epoch [34][6550/7330] lr: 1.000e-06, eta: 1:06:29, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0280, loss_cls: 0.1249, acc: 95.2297, loss_bbox: 0.1777, loss_mask: 0.1909, loss: 0.5365 2023-11-15 06:48:52,202 - mmdet - INFO - Epoch [34][6600/7330] lr: 1.000e-06, eta: 1:06:16, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0300, loss_cls: 0.1338, acc: 94.9536, loss_bbox: 0.1863, loss_mask: 0.1971, loss: 0.5652 2023-11-15 06:49:05,168 - mmdet - INFO - Epoch [34][6650/7330] lr: 1.000e-06, eta: 1:06:04, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0282, loss_cls: 0.1275, acc: 95.1479, loss_bbox: 0.1759, loss_mask: 0.1846, loss: 0.5326 2023-11-15 06:49:17,961 - mmdet - INFO - Epoch [34][6700/7330] lr: 1.000e-06, eta: 1:05:51, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0279, loss_cls: 0.1275, acc: 95.2278, loss_bbox: 0.1784, loss_mask: 0.1895, loss: 0.5395 2023-11-15 06:49:30,906 - mmdet - INFO - Epoch [34][6750/7330] lr: 1.000e-06, eta: 1:05:38, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0279, loss_cls: 0.1250, acc: 95.3059, loss_bbox: 0.1731, loss_mask: 0.1879, loss: 0.5304 2023-11-15 06:49:43,795 - mmdet - INFO - Epoch [34][6800/7330] lr: 1.000e-06, eta: 1:05:25, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0283, loss_cls: 0.1299, acc: 95.1365, loss_bbox: 0.1820, loss_mask: 0.1930, loss: 0.5507 2023-11-15 06:49:56,650 - mmdet - INFO - Epoch [34][6850/7330] lr: 1.000e-06, eta: 1:05:12, time: 0.257, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0267, loss_cls: 0.1235, acc: 95.2485, loss_bbox: 0.1765, loss_mask: 0.1903, loss: 0.5330 2023-11-15 06:50:09,858 - mmdet - INFO - Epoch [34][6900/7330] lr: 1.000e-06, eta: 1:04:59, time: 0.264, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0287, loss_cls: 0.1318, acc: 94.9131, loss_bbox: 0.1874, loss_mask: 0.1915, loss: 0.5552 2023-11-15 06:50:22,956 - mmdet - INFO - Epoch [34][6950/7330] lr: 1.000e-06, eta: 1:04:46, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0279, loss_cls: 0.1275, acc: 95.1357, loss_bbox: 0.1787, loss_mask: 0.1887, loss: 0.5393 2023-11-15 06:50:35,773 - mmdet - INFO - Epoch [34][7000/7330] lr: 1.000e-06, eta: 1:04:33, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0289, loss_cls: 0.1346, acc: 94.9082, loss_bbox: 0.1846, loss_mask: 0.1919, loss: 0.5573 2023-11-15 06:50:48,569 - mmdet - INFO - Epoch [34][7050/7330] lr: 1.000e-06, eta: 1:04:20, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0288, loss_cls: 0.1326, acc: 94.9604, loss_bbox: 0.1877, loss_mask: 0.1985, loss: 0.5642 2023-11-15 06:51:01,398 - mmdet - INFO - Epoch [34][7100/7330] lr: 1.000e-06, eta: 1:04:07, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0294, loss_cls: 0.1359, acc: 94.8135, loss_bbox: 0.1868, loss_mask: 0.1897, loss: 0.5602 2023-11-15 06:51:14,086 - mmdet - INFO - Epoch [34][7150/7330] lr: 1.000e-06, eta: 1:03:54, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0264, loss_cls: 0.1291, acc: 95.1733, loss_bbox: 0.1791, loss_mask: 0.1926, loss: 0.5444 2023-11-15 06:51:27,049 - mmdet - INFO - Epoch [34][7200/7330] lr: 1.000e-06, eta: 1:03:41, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0280, loss_cls: 0.1305, acc: 95.0610, loss_bbox: 0.1814, loss_mask: 0.1908, loss: 0.5486 2023-11-15 06:51:40,069 - mmdet - INFO - Epoch [34][7250/7330] lr: 1.000e-06, eta: 1:03:28, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0305, loss_cls: 0.1316, acc: 94.9851, loss_bbox: 0.1863, loss_mask: 0.1943, loss: 0.5587 2023-11-15 06:51:52,789 - mmdet - INFO - Epoch [34][7300/7330] lr: 1.000e-06, eta: 1:03:16, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0268, loss_cls: 0.1231, acc: 95.2429, loss_bbox: 0.1759, loss_mask: 0.1881, loss: 0.5299 2023-11-15 06:52:00,976 - mmdet - INFO - Saving checkpoint at 34 epochs 2023-11-15 06:52:42,372 - mmdet - INFO - Evaluating bbox... 2023-11-15 06:53:10,965 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.494 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.705 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.336 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.531 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 ] = 0.605 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 ] = 0.442 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.637 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.751 2023-11-15 06:53:10,967 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.598 | bicycle | 0.400 | car | 0.503 | | motorcycle | 0.511 | airplane | 0.715 | bus | 0.714 | | train | 0.703 | truck | 0.448 | boat | 0.347 | | traffic light | 0.314 | fire hydrant | 0.742 | stop sign | 0.705 | | parking meter | 0.528 | bench | 0.321 | bird | 0.426 | | cat | 0.752 | dog | 0.697 | horse | 0.651 | | sheep | 0.615 | cow | 0.644 | elephant | 0.709 | | bear | 0.795 | zebra | 0.691 | giraffe | 0.719 | | backpack | 0.237 | umbrella | 0.467 | handbag | 0.251 | | tie | 0.415 | suitcase | 0.502 | frisbee | 0.712 | | skis | 0.322 | snowboard | 0.446 | sports ball | 0.475 | | kite | 0.467 | baseball bat | 0.423 | baseball glove | 0.455 | | skateboard | 0.598 | surfboard | 0.475 | tennis racket | 0.575 | | bottle | 0.463 | wine glass | 0.427 | cup | 0.502 | | fork | 0.490 | knife | 0.314 | spoon | 0.317 | | bowl | 0.469 | banana | 0.296 | apple | 0.277 | | sandwich | 0.433 | orange | 0.354 | broccoli | 0.261 | | carrot | 0.250 | hot dog | 0.445 | pizza | 0.568 | | donut | 0.557 | cake | 0.449 | chair | 0.371 | | couch | 0.500 | potted plant | 0.359 | bed | 0.489 | | dining table | 0.326 | toilet | 0.654 | tv | 0.648 | | laptop | 0.710 | mouse | 0.652 | remote | 0.447 | | keyboard | 0.571 | cell phone | 0.459 | microwave | 0.672 | | oven | 0.414 | toaster | 0.551 | sink | 0.456 | | refrigerator | 0.662 | book | 0.212 | clock | 0.513 | | vase | 0.422 | scissors | 0.494 | teddy bear | 0.542 | | hair drier | 0.133 | toothbrush | 0.355 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 06:53:10,967 - mmdet - INFO - Evaluating segm... 2023-11-15 06:53:39,068 - 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 ] = 0.677 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.473 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 ] = 0.626 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.544 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.381 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.579 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.703 2023-11-15 06:53:39,070 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.516 | bicycle | 0.246 | car | 0.462 | | motorcycle | 0.409 | airplane | 0.554 | bus | 0.693 | | train | 0.682 | truck | 0.428 | boat | 0.309 | | traffic light | 0.299 | fire hydrant | 0.694 | stop sign | 0.674 | | parking meter | 0.529 | bench | 0.235 | bird | 0.351 | | cat | 0.727 | dog | 0.652 | horse | 0.486 | | sheep | 0.534 | cow | 0.549 | elephant | 0.638 | | bear | 0.763 | zebra | 0.585 | giraffe | 0.573 | | backpack | 0.241 | umbrella | 0.516 | handbag | 0.233 | | tie | 0.378 | suitcase | 0.501 | frisbee | 0.654 | | skis | 0.068 | snowboard | 0.285 | sports ball | 0.459 | | kite | 0.327 | baseball bat | 0.322 | baseball glove | 0.467 | | skateboard | 0.395 | surfboard | 0.393 | tennis racket | 0.600 | | bottle | 0.437 | wine glass | 0.387 | cup | 0.496 | | fork | 0.246 | knife | 0.206 | spoon | 0.225 | | bowl | 0.427 | banana | 0.236 | apple | 0.263 | | sandwich | 0.450 | orange | 0.352 | broccoli | 0.235 | | carrot | 0.217 | hot dog | 0.374 | pizza | 0.545 | | donut | 0.553 | cake | 0.454 | chair | 0.264 | | couch | 0.415 | potted plant | 0.300 | bed | 0.402 | | dining table | 0.196 | toilet | 0.625 | tv | 0.670 | | laptop | 0.689 | mouse | 0.640 | remote | 0.394 | | keyboard | 0.555 | cell phone | 0.431 | microwave | 0.674 | | oven | 0.375 | toaster | 0.562 | sink | 0.424 | | refrigerator | 0.662 | book | 0.154 | clock | 0.507 | | vase | 0.408 | scissors | 0.347 | teddy bear | 0.524 | | hair drier | 0.123 | toothbrush | 0.253 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 06:53:39,452 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 06:53:39,453 - mmdet - INFO - Epoch(val) [34][625] bbox_mAP: 0.4944, bbox_mAP_50: 0.7050, bbox_mAP_75: 0.5416, bbox_mAP_s: 0.3361, bbox_mAP_m: 0.5305, bbox_mAP_l: 0.6409, bbox_mAP_copypaste: 0.4944 0.7050 0.5416 0.3361 0.5305 0.6409, segm_mAP: 0.4391, segm_mAP_50: 0.6765, segm_mAP_75: 0.4729, segm_mAP_s: 0.2541, segm_mAP_m: 0.4716, segm_mAP_l: 0.6263, segm_mAP_copypaste: 0.4391 0.6765 0.4729 0.2541 0.4716 0.6263 2023-11-15 06:53:55,791 - mmdet - INFO - Epoch [35][50/7330] lr: 1.000e-06, eta: 1:02:55, time: 0.327, data_time: 0.077, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0277, loss_cls: 0.1246, acc: 95.2634, loss_bbox: 0.1797, loss_mask: 0.1964, loss: 0.5439 2023-11-15 06:54:08,605 - mmdet - INFO - Epoch [35][100/7330] lr: 1.000e-06, eta: 1:02:42, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0278, loss_cls: 0.1327, acc: 94.9500, loss_bbox: 0.1817, loss_mask: 0.1932, loss: 0.5523 2023-11-15 06:54:21,735 - mmdet - INFO - Epoch [35][150/7330] lr: 1.000e-06, eta: 1:02:29, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0290, loss_cls: 0.1349, acc: 94.9443, loss_bbox: 0.1877, loss_mask: 0.1941, loss: 0.5638 2023-11-15 06:54:34,520 - mmdet - INFO - Epoch [35][200/7330] lr: 1.000e-06, eta: 1:02:16, time: 0.256, data_time: 0.012, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0273, loss_cls: 0.1277, acc: 95.1636, loss_bbox: 0.1805, loss_mask: 0.1952, loss: 0.5483 2023-11-15 06:54:47,566 - mmdet - INFO - Epoch [35][250/7330] lr: 1.000e-06, eta: 1:02:03, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0270, loss_cls: 0.1237, acc: 95.2546, loss_bbox: 0.1751, loss_mask: 0.1870, loss: 0.5284 2023-11-15 06:55:00,533 - mmdet - INFO - Epoch [35][300/7330] lr: 1.000e-06, eta: 1:01:50, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0283, loss_cls: 0.1259, acc: 95.2212, loss_bbox: 0.1773, loss_mask: 0.1916, loss: 0.5377 2023-11-15 06:55:13,753 - mmdet - INFO - Epoch [35][350/7330] lr: 1.000e-06, eta: 1:01:37, time: 0.264, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0277, loss_cls: 0.1274, acc: 95.1128, loss_bbox: 0.1791, loss_mask: 0.1939, loss: 0.5445 2023-11-15 06:55:26,599 - mmdet - INFO - Epoch [35][400/7330] lr: 1.000e-06, eta: 1:01:24, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0263, loss_cls: 0.1219, acc: 95.3870, loss_bbox: 0.1706, loss_mask: 0.1912, loss: 0.5253 2023-11-15 06:55:39,583 - mmdet - INFO - Epoch [35][450/7330] lr: 1.000e-06, eta: 1:01:11, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0277, loss_cls: 0.1282, acc: 95.1895, loss_bbox: 0.1804, loss_mask: 0.1926, loss: 0.5449 2023-11-15 06:55:52,434 - mmdet - INFO - Epoch [35][500/7330] lr: 1.000e-06, eta: 1:00:58, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0277, loss_cls: 0.1237, acc: 95.2866, loss_bbox: 0.1772, loss_mask: 0.1906, loss: 0.5346 2023-11-15 06:56:05,482 - mmdet - INFO - Epoch [35][550/7330] lr: 1.000e-06, eta: 1:00:45, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0271, loss_cls: 0.1249, acc: 95.3491, loss_bbox: 0.1756, loss_mask: 0.1883, loss: 0.5311 2023-11-15 06:56:18,576 - mmdet - INFO - Epoch [35][600/7330] lr: 1.000e-06, eta: 1:00:33, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0246, loss_cls: 0.1185, acc: 95.4812, loss_bbox: 0.1657, loss_mask: 0.1869, loss: 0.5104 2023-11-15 06:56:31,481 - mmdet - INFO - Epoch [35][650/7330] lr: 1.000e-06, eta: 1:00:20, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0291, loss_cls: 0.1337, acc: 94.9973, loss_bbox: 0.1843, loss_mask: 0.1941, loss: 0.5569 2023-11-15 06:56:44,451 - mmdet - INFO - Epoch [35][700/7330] lr: 1.000e-06, eta: 1:00:07, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0273, loss_cls: 0.1325, acc: 95.0249, loss_bbox: 0.1817, loss_mask: 0.1937, loss: 0.5526 2023-11-15 06:56:57,305 - mmdet - INFO - Epoch [35][750/7330] lr: 1.000e-06, eta: 0:59:54, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0291, loss_cls: 0.1299, acc: 95.0881, loss_bbox: 0.1813, loss_mask: 0.1933, loss: 0.5517 2023-11-15 06:57:10,386 - mmdet - INFO - Epoch [35][800/7330] lr: 1.000e-06, eta: 0:59:41, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0291, loss_cls: 0.1311, acc: 94.9939, loss_bbox: 0.1810, loss_mask: 0.1891, loss: 0.5479 2023-11-15 06:57:23,484 - mmdet - INFO - Epoch [35][850/7330] lr: 1.000e-06, eta: 0:59:28, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0270, loss_cls: 0.1273, acc: 95.2664, loss_bbox: 0.1734, loss_mask: 0.1878, loss: 0.5306 2023-11-15 06:57:36,588 - mmdet - INFO - Epoch [35][900/7330] lr: 1.000e-06, eta: 0:59:15, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0282, loss_cls: 0.1289, acc: 95.1323, loss_bbox: 0.1837, loss_mask: 0.1950, loss: 0.5516 2023-11-15 06:57:49,477 - mmdet - INFO - Epoch [35][950/7330] lr: 1.000e-06, eta: 0:59:02, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0276, loss_cls: 0.1248, acc: 95.2271, loss_bbox: 0.1758, loss_mask: 0.1887, loss: 0.5316 2023-11-15 06:58:02,769 - mmdet - INFO - Epoch [35][1000/7330] lr: 1.000e-06, eta: 0:58:49, time: 0.266, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0262, loss_cls: 0.1246, acc: 95.2727, loss_bbox: 0.1770, loss_mask: 0.1914, loss: 0.5360 2023-11-15 06:58:15,583 - mmdet - INFO - Epoch [35][1050/7330] lr: 1.000e-06, eta: 0:58:36, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0295, loss_cls: 0.1302, acc: 94.9741, loss_bbox: 0.1832, loss_mask: 0.1959, loss: 0.5563 2023-11-15 06:58:28,908 - mmdet - INFO - Epoch [35][1100/7330] lr: 1.000e-06, eta: 0:58:23, time: 0.267, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0279, loss_cls: 0.1252, acc: 95.2158, loss_bbox: 0.1753, loss_mask: 0.1891, loss: 0.5343 2023-11-15 06:58:41,839 - mmdet - INFO - Epoch [35][1150/7330] lr: 1.000e-06, eta: 0:58:10, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0276, loss_cls: 0.1301, acc: 95.0730, loss_bbox: 0.1814, loss_mask: 0.1938, loss: 0.5488 2023-11-15 06:58:55,059 - mmdet - INFO - Epoch [35][1200/7330] lr: 1.000e-06, eta: 0:57:58, time: 0.264, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0292, loss_cls: 0.1362, acc: 94.8076, loss_bbox: 0.1881, loss_mask: 0.1942, loss: 0.5645 2023-11-15 06:59:08,048 - mmdet - INFO - Epoch [35][1250/7330] lr: 1.000e-06, eta: 0:57:45, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0140, loss_rpn_bbox: 0.0252, loss_cls: 0.1214, acc: 95.3645, loss_bbox: 0.1716, loss_mask: 0.1858, loss: 0.5179 2023-11-15 06:59:20,900 - mmdet - INFO - Epoch [35][1300/7330] lr: 1.000e-06, eta: 0:57:32, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0262, loss_cls: 0.1179, acc: 95.5498, loss_bbox: 0.1695, loss_mask: 0.1852, loss: 0.5143 2023-11-15 06:59:33,899 - mmdet - INFO - Epoch [35][1350/7330] lr: 1.000e-06, eta: 0:57:19, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0272, loss_cls: 0.1264, acc: 95.3306, loss_bbox: 0.1777, loss_mask: 0.1891, loss: 0.5354 2023-11-15 06:59:47,289 - mmdet - INFO - Epoch [35][1400/7330] lr: 1.000e-06, eta: 0:57:06, time: 0.268, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0281, loss_cls: 0.1272, acc: 95.2200, loss_bbox: 0.1792, loss_mask: 0.1877, loss: 0.5372 2023-11-15 06:59:59,938 - mmdet - INFO - Epoch [35][1450/7330] lr: 1.000e-06, eta: 0:56:53, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0271, loss_cls: 0.1267, acc: 95.2068, loss_bbox: 0.1775, loss_mask: 0.1893, loss: 0.5372 2023-11-15 07:00:12,871 - mmdet - INFO - Epoch [35][1500/7330] lr: 1.000e-06, eta: 0:56:40, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0250, loss_cls: 0.1180, acc: 95.5081, loss_bbox: 0.1672, loss_mask: 0.1879, loss: 0.5139 2023-11-15 07:00:25,898 - mmdet - INFO - Epoch [35][1550/7330] lr: 1.000e-06, eta: 0:56:27, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0273, loss_cls: 0.1264, acc: 95.2058, loss_bbox: 0.1749, loss_mask: 0.1902, loss: 0.5343 2023-11-15 07:00:38,478 - mmdet - INFO - Epoch [35][1600/7330] lr: 1.000e-06, eta: 0:56:14, time: 0.252, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0260, loss_cls: 0.1234, acc: 95.3228, loss_bbox: 0.1764, loss_mask: 0.1942, loss: 0.5361 2023-11-15 07:00:51,331 - mmdet - INFO - Epoch [35][1650/7330] lr: 1.000e-06, eta: 0:56:01, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0259, loss_cls: 0.1287, acc: 95.1787, loss_bbox: 0.1769, loss_mask: 0.1915, loss: 0.5381 2023-11-15 07:01:04,169 - mmdet - INFO - Epoch [35][1700/7330] lr: 1.000e-06, eta: 0:55:48, time: 0.257, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0289, loss_cls: 0.1301, acc: 95.1018, loss_bbox: 0.1847, loss_mask: 0.1958, loss: 0.5553 2023-11-15 07:01:17,036 - mmdet - INFO - Epoch [35][1750/7330] lr: 1.000e-06, eta: 0:55:35, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0279, loss_cls: 0.1260, acc: 95.2007, loss_bbox: 0.1761, loss_mask: 0.1873, loss: 0.5342 2023-11-15 07:01:29,814 - mmdet - INFO - Epoch [35][1800/7330] lr: 1.000e-06, eta: 0:55:23, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0267, loss_cls: 0.1251, acc: 95.2329, loss_bbox: 0.1802, loss_mask: 0.1933, loss: 0.5410 2023-11-15 07:01:42,374 - mmdet - INFO - Epoch [35][1850/7330] lr: 1.000e-06, eta: 0:55:10, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0270, loss_cls: 0.1250, acc: 95.2493, loss_bbox: 0.1783, loss_mask: 0.1867, loss: 0.5325 2023-11-15 07:01:55,520 - mmdet - INFO - Epoch [35][1900/7330] lr: 1.000e-06, eta: 0:54:57, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0279, loss_cls: 0.1260, acc: 95.2458, loss_bbox: 0.1781, loss_mask: 0.1885, loss: 0.5371 2023-11-15 07:02:08,410 - mmdet - INFO - Epoch [35][1950/7330] lr: 1.000e-06, eta: 0:54:44, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0284, loss_cls: 0.1302, acc: 95.0837, loss_bbox: 0.1832, loss_mask: 0.1923, loss: 0.5509 2023-11-15 07:02:21,741 - mmdet - INFO - Epoch [35][2000/7330] lr: 1.000e-06, eta: 0:54:31, time: 0.267, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0296, loss_cls: 0.1299, acc: 95.1394, loss_bbox: 0.1814, loss_mask: 0.1941, loss: 0.5525 2023-11-15 07:02:34,735 - mmdet - INFO - Epoch [35][2050/7330] lr: 1.000e-06, eta: 0:54:18, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0260, loss_cls: 0.1253, acc: 95.1724, loss_bbox: 0.1773, loss_mask: 0.1911, loss: 0.5354 2023-11-15 07:02:47,754 - mmdet - INFO - Epoch [35][2100/7330] lr: 1.000e-06, eta: 0:54:05, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0281, loss_cls: 0.1268, acc: 95.2605, loss_bbox: 0.1753, loss_mask: 0.1920, loss: 0.5379 2023-11-15 07:03:00,780 - mmdet - INFO - Epoch [35][2150/7330] lr: 1.000e-06, eta: 0:53:52, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0254, loss_cls: 0.1233, acc: 95.3455, loss_bbox: 0.1727, loss_mask: 0.1864, loss: 0.5229 2023-11-15 07:03:13,802 - mmdet - INFO - Epoch [35][2200/7330] lr: 1.000e-06, eta: 0:53:39, time: 0.260, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0279, loss_cls: 0.1260, acc: 95.2344, loss_bbox: 0.1801, loss_mask: 0.1913, loss: 0.5420 2023-11-15 07:03:26,727 - mmdet - INFO - Epoch [35][2250/7330] lr: 1.000e-06, eta: 0:53:26, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0281, loss_cls: 0.1280, acc: 95.1858, loss_bbox: 0.1751, loss_mask: 0.1903, loss: 0.5368 2023-11-15 07:03:39,814 - mmdet - INFO - Epoch [35][2300/7330] lr: 1.000e-06, eta: 0:53:13, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0281, loss_cls: 0.1272, acc: 95.1792, loss_bbox: 0.1809, loss_mask: 0.1904, loss: 0.5425 2023-11-15 07:03:52,350 - mmdet - INFO - Epoch [35][2350/7330] lr: 1.000e-06, eta: 0:53:00, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0247, loss_cls: 0.1214, acc: 95.3525, loss_bbox: 0.1721, loss_mask: 0.1867, loss: 0.5211 2023-11-15 07:04:05,105 - mmdet - INFO - Epoch [35][2400/7330] lr: 1.000e-06, eta: 0:52:47, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0268, loss_cls: 0.1286, acc: 95.1345, loss_bbox: 0.1794, loss_mask: 0.1892, loss: 0.5404 2023-11-15 07:04:17,857 - mmdet - INFO - Epoch [35][2450/7330] lr: 1.000e-06, eta: 0:52:35, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0259, loss_cls: 0.1188, acc: 95.5322, loss_bbox: 0.1693, loss_mask: 0.1871, loss: 0.5164 2023-11-15 07:04:30,704 - mmdet - INFO - Epoch [35][2500/7330] lr: 1.000e-06, eta: 0:52:22, time: 0.257, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0269, loss_cls: 0.1266, acc: 95.2544, loss_bbox: 0.1808, loss_mask: 0.1959, loss: 0.5472 2023-11-15 07:04:43,484 - mmdet - INFO - Epoch [35][2550/7330] lr: 1.000e-06, eta: 0:52:09, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0275, loss_cls: 0.1291, acc: 95.1250, loss_bbox: 0.1783, loss_mask: 0.1920, loss: 0.5440 2023-11-15 07:04:56,452 - mmdet - INFO - Epoch [35][2600/7330] lr: 1.000e-06, eta: 0:51:56, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0273, loss_cls: 0.1303, acc: 95.1624, loss_bbox: 0.1796, loss_mask: 0.1913, loss: 0.5444 2023-11-15 07:05:09,205 - mmdet - INFO - Epoch [35][2650/7330] lr: 1.000e-06, eta: 0:51:43, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0290, loss_cls: 0.1326, acc: 94.9822, loss_bbox: 0.1828, loss_mask: 0.1940, loss: 0.5562 2023-11-15 07:05:21,952 - mmdet - INFO - Epoch [35][2700/7330] lr: 1.000e-06, eta: 0:51:30, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0276, loss_cls: 0.1226, acc: 95.3262, loss_bbox: 0.1738, loss_mask: 0.1863, loss: 0.5268 2023-11-15 07:05:35,116 - mmdet - INFO - Epoch [35][2750/7330] lr: 1.000e-06, eta: 0:51:17, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0278, loss_cls: 0.1293, acc: 95.0183, loss_bbox: 0.1817, loss_mask: 0.1922, loss: 0.5480 2023-11-15 07:05:47,656 - mmdet - INFO - Epoch [35][2800/7330] lr: 1.000e-06, eta: 0:51:04, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0261, loss_cls: 0.1248, acc: 95.2368, loss_bbox: 0.1794, loss_mask: 0.1872, loss: 0.5334 2023-11-15 07:06:00,582 - mmdet - INFO - Epoch [35][2850/7330] lr: 1.000e-06, eta: 0:50:51, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0279, loss_cls: 0.1293, acc: 95.1167, loss_bbox: 0.1797, loss_mask: 0.1904, loss: 0.5457 2023-11-15 07:06:13,626 - mmdet - INFO - Epoch [35][2900/7330] lr: 1.000e-06, eta: 0:50:38, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0274, loss_cls: 0.1265, acc: 95.1274, loss_bbox: 0.1789, loss_mask: 0.1936, loss: 0.5432 2023-11-15 07:06:26,684 - mmdet - INFO - Epoch [35][2950/7330] lr: 1.000e-06, eta: 0:50:25, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0267, loss_cls: 0.1222, acc: 95.3420, loss_bbox: 0.1737, loss_mask: 0.1962, loss: 0.5339 2023-11-15 07:06:39,358 - mmdet - INFO - Epoch [35][3000/7330] lr: 1.000e-06, eta: 0:50:12, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0274, loss_cls: 0.1261, acc: 95.2251, loss_bbox: 0.1773, loss_mask: 0.1890, loss: 0.5361 2023-11-15 07:06:52,180 - mmdet - INFO - Epoch [35][3050/7330] lr: 1.000e-06, eta: 0:49:59, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0278, loss_cls: 0.1285, acc: 95.1260, loss_bbox: 0.1795, loss_mask: 0.1899, loss: 0.5426 2023-11-15 07:07:05,216 - mmdet - INFO - Epoch [35][3100/7330] lr: 1.000e-06, eta: 0:49:47, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0300, loss_cls: 0.1333, acc: 94.9429, loss_bbox: 0.1872, loss_mask: 0.1943, loss: 0.5619 2023-11-15 07:07:18,301 - mmdet - INFO - Epoch [35][3150/7330] lr: 1.000e-06, eta: 0:49:34, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0286, loss_cls: 0.1271, acc: 95.1355, loss_bbox: 0.1831, loss_mask: 0.1961, loss: 0.5517 2023-11-15 07:07:31,055 - mmdet - INFO - Epoch [35][3200/7330] lr: 1.000e-06, eta: 0:49:21, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0270, loss_cls: 0.1268, acc: 95.1204, loss_bbox: 0.1789, loss_mask: 0.1892, loss: 0.5362 2023-11-15 07:07:43,802 - mmdet - INFO - Epoch [35][3250/7330] lr: 1.000e-06, eta: 0:49:08, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0294, loss_cls: 0.1336, acc: 94.9326, loss_bbox: 0.1826, loss_mask: 0.1874, loss: 0.5497 2023-11-15 07:07:56,554 - mmdet - INFO - Epoch [35][3300/7330] lr: 1.000e-06, eta: 0:48:55, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0271, loss_cls: 0.1247, acc: 95.3340, loss_bbox: 0.1764, loss_mask: 0.1916, loss: 0.5368 2023-11-15 07:08:09,436 - mmdet - INFO - Epoch [35][3350/7330] lr: 1.000e-06, eta: 0:48:42, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0290, loss_cls: 0.1259, acc: 95.2085, loss_bbox: 0.1819, loss_mask: 0.1939, loss: 0.5475 2023-11-15 07:08:22,230 - mmdet - INFO - Epoch [35][3400/7330] lr: 1.000e-06, eta: 0:48:29, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0277, loss_cls: 0.1286, acc: 95.1401, loss_bbox: 0.1789, loss_mask: 0.1912, loss: 0.5429 2023-11-15 07:08:35,036 - mmdet - INFO - Epoch [35][3450/7330] lr: 1.000e-06, eta: 0:48:16, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0271, loss_cls: 0.1294, acc: 95.0308, loss_bbox: 0.1816, loss_mask: 0.1936, loss: 0.5485 2023-11-15 07:08:47,730 - mmdet - INFO - Epoch [35][3500/7330] lr: 1.000e-06, eta: 0:48:03, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0265, loss_cls: 0.1233, acc: 95.3154, loss_bbox: 0.1719, loss_mask: 0.1852, loss: 0.5229 2023-11-15 07:09:00,506 - mmdet - INFO - Epoch [35][3550/7330] lr: 1.000e-06, eta: 0:47:50, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0277, loss_cls: 0.1247, acc: 95.2192, loss_bbox: 0.1732, loss_mask: 0.1861, loss: 0.5287 2023-11-15 07:09:13,489 - mmdet - INFO - Epoch [35][3600/7330] lr: 1.000e-06, eta: 0:47:37, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0288, loss_cls: 0.1312, acc: 94.9941, loss_bbox: 0.1851, loss_mask: 0.1972, loss: 0.5586 2023-11-15 07:09:26,148 - mmdet - INFO - Epoch [35][3650/7330] lr: 1.000e-06, eta: 0:47:24, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0269, loss_cls: 0.1264, acc: 95.3352, loss_bbox: 0.1749, loss_mask: 0.1880, loss: 0.5338 2023-11-15 07:09:39,084 - mmdet - INFO - Epoch [35][3700/7330] lr: 1.000e-06, eta: 0:47:11, time: 0.259, data_time: 0.020, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0274, loss_cls: 0.1208, acc: 95.3699, loss_bbox: 0.1708, loss_mask: 0.1852, loss: 0.5201 2023-11-15 07:09:52,011 - mmdet - INFO - Epoch [35][3750/7330] lr: 1.000e-06, eta: 0:46:59, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0274, loss_cls: 0.1273, acc: 95.2246, loss_bbox: 0.1756, loss_mask: 0.1907, loss: 0.5380 2023-11-15 07:10:04,795 - mmdet - INFO - Epoch [35][3800/7330] lr: 1.000e-06, eta: 0:46:46, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0264, loss_cls: 0.1259, acc: 95.3230, loss_bbox: 0.1747, loss_mask: 0.1958, loss: 0.5397 2023-11-15 07:10:17,536 - mmdet - INFO - Epoch [35][3850/7330] lr: 1.000e-06, eta: 0:46:33, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0251, loss_cls: 0.1167, acc: 95.6265, loss_bbox: 0.1635, loss_mask: 0.1855, loss: 0.5053 2023-11-15 07:10:30,399 - mmdet - INFO - Epoch [35][3900/7330] lr: 1.000e-06, eta: 0:46:20, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0301, loss_cls: 0.1344, acc: 94.8525, loss_bbox: 0.1916, loss_mask: 0.1963, loss: 0.5704 2023-11-15 07:10:42,988 - mmdet - INFO - Epoch [35][3950/7330] lr: 1.000e-06, eta: 0:46:07, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0262, loss_cls: 0.1218, acc: 95.3855, loss_bbox: 0.1735, loss_mask: 0.1868, loss: 0.5235 2023-11-15 07:10:55,561 - mmdet - INFO - Epoch [35][4000/7330] lr: 1.000e-06, eta: 0:45:54, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0133, loss_rpn_bbox: 0.0247, loss_cls: 0.1199, acc: 95.4492, loss_bbox: 0.1668, loss_mask: 0.1854, loss: 0.5100 2023-11-15 07:11:08,198 - mmdet - INFO - Epoch [35][4050/7330] lr: 1.000e-06, eta: 0:45:41, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0256, loss_cls: 0.1270, acc: 95.1255, loss_bbox: 0.1811, loss_mask: 0.1911, loss: 0.5406 2023-11-15 07:11:21,080 - mmdet - INFO - Epoch [35][4100/7330] lr: 1.000e-06, eta: 0:45:28, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0293, loss_cls: 0.1313, acc: 95.0361, loss_bbox: 0.1823, loss_mask: 0.1962, loss: 0.5574 2023-11-15 07:11:33,929 - mmdet - INFO - Epoch [35][4150/7330] lr: 1.000e-06, eta: 0:45:15, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0273, loss_cls: 0.1226, acc: 95.3450, loss_bbox: 0.1737, loss_mask: 0.1876, loss: 0.5278 2023-11-15 07:11:46,946 - mmdet - INFO - Epoch [35][4200/7330] lr: 1.000e-06, eta: 0:45:02, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0266, loss_cls: 0.1300, acc: 95.1084, loss_bbox: 0.1796, loss_mask: 0.1928, loss: 0.5453 2023-11-15 07:11:59,767 - mmdet - INFO - Epoch [35][4250/7330] lr: 1.000e-06, eta: 0:44:49, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0298, loss_cls: 0.1336, acc: 94.9990, loss_bbox: 0.1819, loss_mask: 0.1932, loss: 0.5559 2023-11-15 07:12:12,501 - mmdet - INFO - Epoch [35][4300/7330] lr: 1.000e-06, eta: 0:44:36, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0287, loss_cls: 0.1364, acc: 94.8464, loss_bbox: 0.1908, loss_mask: 0.1971, loss: 0.5699 2023-11-15 07:12:25,357 - mmdet - INFO - Epoch [35][4350/7330] lr: 1.000e-06, eta: 0:44:23, time: 0.257, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0300, loss_cls: 0.1339, acc: 94.9509, loss_bbox: 0.1842, loss_mask: 0.1929, loss: 0.5588 2023-11-15 07:12:38,256 - mmdet - INFO - Epoch [35][4400/7330] lr: 1.000e-06, eta: 0:44:11, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0293, loss_cls: 0.1300, acc: 95.0942, loss_bbox: 0.1816, loss_mask: 0.1960, loss: 0.5526 2023-11-15 07:12:51,116 - mmdet - INFO - Epoch [35][4450/7330] lr: 1.000e-06, eta: 0:43:58, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0264, loss_cls: 0.1246, acc: 95.2686, loss_bbox: 0.1740, loss_mask: 0.1864, loss: 0.5275 2023-11-15 07:13:03,697 - mmdet - INFO - Epoch [35][4500/7330] lr: 1.000e-06, eta: 0:43:45, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0266, loss_cls: 0.1282, acc: 95.0591, loss_bbox: 0.1801, loss_mask: 0.1937, loss: 0.5442 2023-11-15 07:13:16,476 - mmdet - INFO - Epoch [35][4550/7330] lr: 1.000e-06, eta: 0:43:32, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0269, loss_cls: 0.1243, acc: 95.2429, loss_bbox: 0.1713, loss_mask: 0.1898, loss: 0.5275 2023-11-15 07:13:29,108 - mmdet - INFO - Epoch [35][4600/7330] lr: 1.000e-06, eta: 0:43:19, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0275, loss_cls: 0.1229, acc: 95.3455, loss_bbox: 0.1746, loss_mask: 0.1908, loss: 0.5322 2023-11-15 07:13:41,736 - mmdet - INFO - Epoch [35][4650/7330] lr: 1.000e-06, eta: 0:43:06, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0268, loss_cls: 0.1253, acc: 95.3291, loss_bbox: 0.1782, loss_mask: 0.1916, loss: 0.5382 2023-11-15 07:13:54,417 - mmdet - INFO - Epoch [35][4700/7330] lr: 1.000e-06, eta: 0:42:53, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0293, loss_cls: 0.1328, acc: 94.9885, loss_bbox: 0.1829, loss_mask: 0.1934, loss: 0.5544 2023-11-15 07:14:07,146 - mmdet - INFO - Epoch [35][4750/7330] lr: 1.000e-06, eta: 0:42:40, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0266, loss_cls: 0.1202, acc: 95.4731, loss_bbox: 0.1690, loss_mask: 0.1826, loss: 0.5132 2023-11-15 07:14:19,881 - mmdet - INFO - Epoch [35][4800/7330] lr: 1.000e-06, eta: 0:42:27, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0283, loss_cls: 0.1342, acc: 94.9331, loss_bbox: 0.1880, loss_mask: 0.1994, loss: 0.5671 2023-11-15 07:14:32,643 - mmdet - INFO - Epoch [35][4850/7330] lr: 1.000e-06, eta: 0:42:14, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0268, loss_cls: 0.1264, acc: 95.2175, loss_bbox: 0.1782, loss_mask: 0.1868, loss: 0.5330 2023-11-15 07:14:45,673 - mmdet - INFO - Epoch [35][4900/7330] lr: 1.000e-06, eta: 0:42:01, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0179, loss_rpn_bbox: 0.0294, loss_cls: 0.1301, acc: 94.9895, loss_bbox: 0.1856, loss_mask: 0.1900, loss: 0.5530 2023-11-15 07:14:58,393 - mmdet - INFO - Epoch [35][4950/7330] lr: 1.000e-06, eta: 0:41:48, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0281, loss_cls: 0.1267, acc: 95.2156, loss_bbox: 0.1761, loss_mask: 0.1915, loss: 0.5391 2023-11-15 07:15:10,973 - mmdet - INFO - Epoch [35][5000/7330] lr: 1.000e-06, eta: 0:41:35, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0278, loss_cls: 0.1312, acc: 95.0476, loss_bbox: 0.1863, loss_mask: 0.1935, loss: 0.5557 2023-11-15 07:15:23,876 - mmdet - INFO - Epoch [35][5050/7330] lr: 1.000e-06, eta: 0:41:23, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0282, loss_cls: 0.1269, acc: 95.2673, loss_bbox: 0.1776, loss_mask: 0.1913, loss: 0.5403 2023-11-15 07:15:36,498 - mmdet - INFO - Epoch [35][5100/7330] lr: 1.000e-06, eta: 0:41:10, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0280, loss_cls: 0.1236, acc: 95.2725, loss_bbox: 0.1783, loss_mask: 0.1905, loss: 0.5356 2023-11-15 07:15:49,167 - mmdet - INFO - Epoch [35][5150/7330] lr: 1.000e-06, eta: 0:40:57, time: 0.253, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0249, loss_cls: 0.1234, acc: 95.2944, loss_bbox: 0.1753, loss_mask: 0.1909, loss: 0.5302 2023-11-15 07:16:01,949 - mmdet - INFO - Epoch [35][5200/7330] lr: 1.000e-06, eta: 0:40:44, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0283, loss_cls: 0.1309, acc: 95.0425, loss_bbox: 0.1808, loss_mask: 0.1894, loss: 0.5467 2023-11-15 07:16:14,855 - mmdet - INFO - Epoch [35][5250/7330] lr: 1.000e-06, eta: 0:40:31, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0269, loss_cls: 0.1245, acc: 95.3611, loss_bbox: 0.1721, loss_mask: 0.1899, loss: 0.5282 2023-11-15 07:16:27,490 - mmdet - INFO - Epoch [35][5300/7330] lr: 1.000e-06, eta: 0:40:18, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0269, loss_cls: 0.1288, acc: 95.2043, loss_bbox: 0.1745, loss_mask: 0.1911, loss: 0.5382 2023-11-15 07:16:40,063 - mmdet - INFO - Epoch [35][5350/7330] lr: 1.000e-06, eta: 0:40:05, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0290, loss_cls: 0.1319, acc: 94.9995, loss_bbox: 0.1883, loss_mask: 0.1960, loss: 0.5622 2023-11-15 07:16:52,629 - mmdet - INFO - Epoch [35][5400/7330] lr: 1.000e-06, eta: 0:39:52, time: 0.251, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0261, loss_cls: 0.1239, acc: 95.3574, loss_bbox: 0.1738, loss_mask: 0.1859, loss: 0.5244 2023-11-15 07:17:05,478 - mmdet - INFO - Epoch [35][5450/7330] lr: 1.000e-06, eta: 0:39:39, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0271, loss_cls: 0.1263, acc: 95.1418, loss_bbox: 0.1760, loss_mask: 0.1903, loss: 0.5371 2023-11-15 07:17:18,526 - mmdet - INFO - Epoch [35][5500/7330] lr: 1.000e-06, eta: 0:39:26, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0268, loss_cls: 0.1275, acc: 95.0852, loss_bbox: 0.1780, loss_mask: 0.1905, loss: 0.5397 2023-11-15 07:17:31,206 - mmdet - INFO - Epoch [35][5550/7330] lr: 1.000e-06, eta: 0:39:13, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0254, loss_cls: 0.1258, acc: 95.3362, loss_bbox: 0.1748, loss_mask: 0.1868, loss: 0.5286 2023-11-15 07:17:44,005 - mmdet - INFO - Epoch [35][5600/7330] lr: 1.000e-06, eta: 0:39:00, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0285, loss_cls: 0.1315, acc: 94.9990, loss_bbox: 0.1858, loss_mask: 0.1970, loss: 0.5596 2023-11-15 07:17:56,905 - mmdet - INFO - Epoch [35][5650/7330] lr: 1.000e-06, eta: 0:38:47, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0275, loss_cls: 0.1298, acc: 95.0630, loss_bbox: 0.1806, loss_mask: 0.1895, loss: 0.5435 2023-11-15 07:18:09,661 - mmdet - INFO - Epoch [35][5700/7330] lr: 1.000e-06, eta: 0:38:34, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0276, loss_cls: 0.1288, acc: 95.1084, loss_bbox: 0.1818, loss_mask: 0.1923, loss: 0.5455 2023-11-15 07:18:22,400 - mmdet - INFO - Epoch [35][5750/7330] lr: 1.000e-06, eta: 0:38:22, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0267, loss_cls: 0.1266, acc: 95.2793, loss_bbox: 0.1787, loss_mask: 0.1900, loss: 0.5393 2023-11-15 07:18:35,202 - mmdet - INFO - Epoch [35][5800/7330] lr: 1.000e-06, eta: 0:38:09, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0279, loss_cls: 0.1268, acc: 95.2556, loss_bbox: 0.1769, loss_mask: 0.1904, loss: 0.5386 2023-11-15 07:18:48,025 - mmdet - INFO - Epoch [35][5850/7330] lr: 1.000e-06, eta: 0:37:56, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0272, loss_cls: 0.1287, acc: 95.1445, loss_bbox: 0.1779, loss_mask: 0.1936, loss: 0.5439 2023-11-15 07:19:00,690 - mmdet - INFO - Epoch [35][5900/7330] lr: 1.000e-06, eta: 0:37:43, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0269, loss_cls: 0.1268, acc: 95.1951, loss_bbox: 0.1790, loss_mask: 0.1922, loss: 0.5411 2023-11-15 07:19:13,394 - mmdet - INFO - Epoch [35][5950/7330] lr: 1.000e-06, eta: 0:37:30, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0290, loss_cls: 0.1294, acc: 95.0642, loss_bbox: 0.1823, loss_mask: 0.1959, loss: 0.5528 2023-11-15 07:19:26,238 - mmdet - INFO - Epoch [35][6000/7330] lr: 1.000e-06, eta: 0:37:17, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0267, loss_cls: 0.1271, acc: 95.2124, loss_bbox: 0.1735, loss_mask: 0.1914, loss: 0.5346 2023-11-15 07:19:39,213 - mmdet - INFO - Epoch [35][6050/7330] lr: 1.000e-06, eta: 0:37:04, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0261, loss_cls: 0.1212, acc: 95.3733, loss_bbox: 0.1710, loss_mask: 0.1890, loss: 0.5225 2023-11-15 07:19:52,190 - mmdet - INFO - Epoch [35][6100/7330] lr: 1.000e-06, eta: 0:36:51, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0281, loss_cls: 0.1331, acc: 95.0437, loss_bbox: 0.1834, loss_mask: 0.1940, loss: 0.5556 2023-11-15 07:20:04,858 - mmdet - INFO - Epoch [35][6150/7330] lr: 1.000e-06, eta: 0:36:38, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0280, loss_cls: 0.1310, acc: 95.0730, loss_bbox: 0.1829, loss_mask: 0.1940, loss: 0.5528 2023-11-15 07:20:17,560 - mmdet - INFO - Epoch [35][6200/7330] lr: 1.000e-06, eta: 0:36:25, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0286, loss_cls: 0.1293, acc: 95.1238, loss_bbox: 0.1825, loss_mask: 0.1905, loss: 0.5470 2023-11-15 07:20:30,698 - mmdet - INFO - Epoch [35][6250/7330] lr: 1.000e-06, eta: 0:36:12, time: 0.263, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0283, loss_cls: 0.1298, acc: 95.0979, loss_bbox: 0.1803, loss_mask: 0.1888, loss: 0.5443 2023-11-15 07:20:43,424 - mmdet - INFO - Epoch [35][6300/7330] lr: 1.000e-06, eta: 0:35:59, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0271, loss_cls: 0.1253, acc: 95.2717, loss_bbox: 0.1751, loss_mask: 0.1882, loss: 0.5313 2023-11-15 07:20:56,828 - mmdet - INFO - Epoch [35][6350/7330] lr: 1.000e-06, eta: 0:35:47, time: 0.268, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0286, loss_cls: 0.1325, acc: 94.9395, loss_bbox: 0.1835, loss_mask: 0.1926, loss: 0.5528 2023-11-15 07:21:09,626 - mmdet - INFO - Epoch [35][6400/7330] lr: 1.000e-06, eta: 0:35:34, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0291, loss_cls: 0.1320, acc: 95.0747, loss_bbox: 0.1823, loss_mask: 0.1927, loss: 0.5528 2023-11-15 07:21:22,405 - mmdet - INFO - Epoch [35][6450/7330] lr: 1.000e-06, eta: 0:35:21, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0289, loss_cls: 0.1273, acc: 95.1470, loss_bbox: 0.1799, loss_mask: 0.1981, loss: 0.5530 2023-11-15 07:21:35,398 - mmdet - INFO - Epoch [35][6500/7330] lr: 1.000e-06, eta: 0:35:08, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0262, loss_cls: 0.1265, acc: 95.2266, loss_bbox: 0.1780, loss_mask: 0.1944, loss: 0.5408 2023-11-15 07:21:48,235 - mmdet - INFO - Epoch [35][6550/7330] lr: 1.000e-06, eta: 0:34:55, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0286, loss_cls: 0.1260, acc: 95.1885, loss_bbox: 0.1797, loss_mask: 0.1923, loss: 0.5432 2023-11-15 07:22:01,011 - mmdet - INFO - Epoch [35][6600/7330] lr: 1.000e-06, eta: 0:34:42, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0267, loss_cls: 0.1278, acc: 95.1494, loss_bbox: 0.1793, loss_mask: 0.1915, loss: 0.5413 2023-11-15 07:22:13,830 - mmdet - INFO - Epoch [35][6650/7330] lr: 1.000e-06, eta: 0:34:29, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0260, loss_cls: 0.1228, acc: 95.3921, loss_bbox: 0.1722, loss_mask: 0.1854, loss: 0.5211 2023-11-15 07:22:26,803 - mmdet - INFO - Epoch [35][6700/7330] lr: 1.000e-06, eta: 0:34:16, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0288, loss_cls: 0.1288, acc: 95.0581, loss_bbox: 0.1801, loss_mask: 0.1943, loss: 0.5496 2023-11-15 07:22:39,726 - mmdet - INFO - Epoch [35][6750/7330] lr: 1.000e-06, eta: 0:34:03, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0278, loss_cls: 0.1291, acc: 95.1499, loss_bbox: 0.1805, loss_mask: 0.1935, loss: 0.5481 2023-11-15 07:22:52,811 - mmdet - INFO - Epoch [35][6800/7330] lr: 1.000e-06, eta: 0:33:50, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0272, loss_cls: 0.1300, acc: 95.1038, loss_bbox: 0.1828, loss_mask: 0.1911, loss: 0.5474 2023-11-15 07:23:05,474 - mmdet - INFO - Epoch [35][6850/7330] lr: 1.000e-06, eta: 0:33:37, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0276, loss_cls: 0.1301, acc: 95.1445, loss_bbox: 0.1808, loss_mask: 0.1897, loss: 0.5447 2023-11-15 07:23:18,293 - mmdet - INFO - Epoch [35][6900/7330] lr: 1.000e-06, eta: 0:33:24, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0271, loss_cls: 0.1277, acc: 95.2207, loss_bbox: 0.1799, loss_mask: 0.1907, loss: 0.5425 2023-11-15 07:23:31,211 - mmdet - INFO - Epoch [35][6950/7330] lr: 1.000e-06, eta: 0:33:11, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0283, loss_cls: 0.1330, acc: 95.0210, loss_bbox: 0.1887, loss_mask: 0.1945, loss: 0.5617 2023-11-15 07:23:43,935 - mmdet - INFO - Epoch [35][7000/7330] lr: 1.000e-06, eta: 0:32:59, time: 0.254, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0284, loss_cls: 0.1313, acc: 95.0488, loss_bbox: 0.1856, loss_mask: 0.1975, loss: 0.5587 2023-11-15 07:23:56,587 - mmdet - INFO - Epoch [35][7050/7330] lr: 1.000e-06, eta: 0:32:46, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0281, loss_cls: 0.1267, acc: 95.1284, loss_bbox: 0.1793, loss_mask: 0.1915, loss: 0.5431 2023-11-15 07:24:09,447 - mmdet - INFO - Epoch [35][7100/7330] lr: 1.000e-06, eta: 0:32:33, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0270, loss_cls: 0.1263, acc: 95.2583, loss_bbox: 0.1806, loss_mask: 0.1902, loss: 0.5398 2023-11-15 07:24:22,105 - mmdet - INFO - Epoch [35][7150/7330] lr: 1.000e-06, eta: 0:32:20, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0265, loss_cls: 0.1249, acc: 95.2336, loss_bbox: 0.1790, loss_mask: 0.1950, loss: 0.5402 2023-11-15 07:24:34,643 - mmdet - INFO - Epoch [35][7200/7330] lr: 1.000e-06, eta: 0:32:07, time: 0.251, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0299, loss_cls: 0.1313, acc: 95.0112, loss_bbox: 0.1853, loss_mask: 0.1932, loss: 0.5556 2023-11-15 07:24:47,303 - mmdet - INFO - Epoch [35][7250/7330] lr: 1.000e-06, eta: 0:31:54, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0280, loss_cls: 0.1251, acc: 95.2402, loss_bbox: 0.1791, loss_mask: 0.1895, loss: 0.5381 2023-11-15 07:25:00,159 - mmdet - INFO - Epoch [35][7300/7330] lr: 1.000e-06, eta: 0:31:41, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0300, loss_cls: 0.1333, acc: 94.9963, loss_bbox: 0.1868, loss_mask: 0.1929, loss: 0.5610 2023-11-15 07:25:08,217 - mmdet - INFO - Saving checkpoint at 35 epochs 2023-11-15 07:25:46,779 - mmdet - INFO - Evaluating bbox... 2023-11-15 07:26:14,838 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.494 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.706 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.542 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.337 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.531 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 ] = 0.606 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 ] = 0.443 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.639 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.751 2023-11-15 07:26:14,841 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.597 | bicycle | 0.400 | car | 0.504 | | motorcycle | 0.508 | airplane | 0.717 | bus | 0.715 | | train | 0.702 | truck | 0.451 | boat | 0.349 | | traffic light | 0.315 | fire hydrant | 0.745 | stop sign | 0.707 | | parking meter | 0.530 | bench | 0.320 | bird | 0.432 | | cat | 0.747 | dog | 0.704 | horse | 0.655 | | sheep | 0.612 | cow | 0.642 | elephant | 0.703 | | bear | 0.798 | zebra | 0.691 | giraffe | 0.719 | | backpack | 0.236 | umbrella | 0.467 | handbag | 0.252 | | tie | 0.413 | suitcase | 0.502 | frisbee | 0.714 | | skis | 0.322 | snowboard | 0.448 | sports ball | 0.475 | | kite | 0.468 | baseball bat | 0.416 | baseball glove | 0.450 | | skateboard | 0.594 | surfboard | 0.478 | tennis racket | 0.572 | | bottle | 0.462 | wine glass | 0.428 | cup | 0.503 | | fork | 0.497 | knife | 0.311 | spoon | 0.321 | | bowl | 0.469 | banana | 0.294 | apple | 0.281 | | sandwich | 0.432 | orange | 0.350 | broccoli | 0.256 | | carrot | 0.247 | hot dog | 0.445 | pizza | 0.569 | | donut | 0.556 | cake | 0.451 | chair | 0.372 | | couch | 0.500 | potted plant | 0.357 | bed | 0.491 | | dining table | 0.323 | toilet | 0.659 | tv | 0.646 | | laptop | 0.709 | mouse | 0.661 | remote | 0.446 | | keyboard | 0.577 | cell phone | 0.462 | microwave | 0.666 | | oven | 0.415 | toaster | 0.538 | sink | 0.453 | | refrigerator | 0.655 | book | 0.214 | clock | 0.515 | | vase | 0.423 | scissors | 0.483 | teddy bear | 0.550 | | hair drier | 0.137 | toothbrush | 0.356 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 07:26:14,841 - mmdet - INFO - Evaluating segm... 2023-11-15 07:26:43,069 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.440 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.678 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.474 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.255 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 ] = 0.626 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.545 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 ] = 0.580 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.705 2023-11-15 07:26:43,072 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.516 | bicycle | 0.249 | car | 0.463 | | motorcycle | 0.408 | airplane | 0.555 | bus | 0.694 | | train | 0.683 | truck | 0.430 | boat | 0.309 | | traffic light | 0.303 | fire hydrant | 0.696 | stop sign | 0.675 | | parking meter | 0.532 | bench | 0.234 | bird | 0.354 | | cat | 0.725 | dog | 0.658 | horse | 0.485 | | sheep | 0.537 | cow | 0.550 | elephant | 0.636 | | bear | 0.766 | zebra | 0.590 | giraffe | 0.572 | | backpack | 0.240 | umbrella | 0.513 | handbag | 0.235 | | tie | 0.376 | suitcase | 0.509 | frisbee | 0.656 | | skis | 0.067 | snowboard | 0.287 | sports ball | 0.455 | | kite | 0.328 | baseball bat | 0.321 | baseball glove | 0.465 | | skateboard | 0.394 | surfboard | 0.394 | tennis racket | 0.602 | | bottle | 0.439 | wine glass | 0.385 | cup | 0.498 | | fork | 0.247 | knife | 0.206 | spoon | 0.227 | | bowl | 0.429 | banana | 0.237 | apple | 0.263 | | sandwich | 0.453 | orange | 0.350 | broccoli | 0.233 | | carrot | 0.216 | hot dog | 0.370 | pizza | 0.542 | | donut | 0.558 | cake | 0.455 | chair | 0.264 | | couch | 0.412 | potted plant | 0.300 | bed | 0.398 | | dining table | 0.194 | toilet | 0.629 | tv | 0.669 | | laptop | 0.689 | mouse | 0.643 | remote | 0.395 | | keyboard | 0.559 | cell phone | 0.433 | microwave | 0.678 | | oven | 0.372 | toaster | 0.555 | sink | 0.419 | | refrigerator | 0.658 | book | 0.156 | clock | 0.509 | | vase | 0.410 | scissors | 0.334 | teddy bear | 0.529 | | hair drier | 0.130 | toothbrush | 0.257 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 07:26:43,452 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:26:43,452 - mmdet - INFO - Epoch(val) [35][625] bbox_mAP: 0.4944, bbox_mAP_50: 0.7058, bbox_mAP_75: 0.5425, bbox_mAP_s: 0.3371, bbox_mAP_m: 0.5311, bbox_mAP_l: 0.6413, bbox_mAP_copypaste: 0.4944 0.7058 0.5425 0.3371 0.5311 0.6413, segm_mAP: 0.4395, segm_mAP_50: 0.6776, segm_mAP_75: 0.4740, segm_mAP_s: 0.2553, segm_mAP_m: 0.4720, segm_mAP_l: 0.6263, segm_mAP_copypaste: 0.4395 0.6776 0.4740 0.2553 0.4720 0.6263 2023-11-15 07:27:00,045 - mmdet - INFO - Epoch [36][50/7330] lr: 1.000e-06, eta: 0:31:20, time: 0.332, data_time: 0.080, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0293, loss_cls: 0.1308, acc: 95.0261, loss_bbox: 0.1806, loss_mask: 0.1901, loss: 0.5489 2023-11-15 07:27:12,845 - mmdet - INFO - Epoch [36][100/7330] lr: 1.000e-06, eta: 0:31:07, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0250, loss_cls: 0.1252, acc: 95.2427, loss_bbox: 0.1756, loss_mask: 0.1851, loss: 0.5238 2023-11-15 07:27:26,017 - mmdet - INFO - Epoch [36][150/7330] lr: 1.000e-06, eta: 0:30:54, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0286, loss_cls: 0.1303, acc: 95.0500, loss_bbox: 0.1832, loss_mask: 0.1960, loss: 0.5540 2023-11-15 07:27:38,959 - mmdet - INFO - Epoch [36][200/7330] lr: 1.000e-06, eta: 0:30:41, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0279, loss_cls: 0.1288, acc: 95.1975, loss_bbox: 0.1780, loss_mask: 0.1904, loss: 0.5429 2023-11-15 07:27:52,371 - mmdet - INFO - Epoch [36][250/7330] lr: 1.000e-06, eta: 0:30:29, time: 0.268, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0308, loss_cls: 0.1296, acc: 95.0771, loss_bbox: 0.1818, loss_mask: 0.1924, loss: 0.5526 2023-11-15 07:28:05,624 - mmdet - INFO - Epoch [36][300/7330] lr: 1.000e-06, eta: 0:30:16, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0283, loss_cls: 0.1286, acc: 95.0339, loss_bbox: 0.1813, loss_mask: 0.1941, loss: 0.5473 2023-11-15 07:28:18,911 - mmdet - INFO - Epoch [36][350/7330] lr: 1.000e-06, eta: 0:30:03, time: 0.266, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0292, loss_cls: 0.1323, acc: 94.9697, loss_bbox: 0.1820, loss_mask: 0.1898, loss: 0.5506 2023-11-15 07:28:32,288 - mmdet - INFO - Epoch [36][400/7330] lr: 1.000e-06, eta: 0:29:50, time: 0.268, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0176, loss_rpn_bbox: 0.0284, loss_cls: 0.1289, acc: 95.1255, loss_bbox: 0.1779, loss_mask: 0.1927, loss: 0.5454 2023-11-15 07:28:45,267 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:28:45,267 - mmdet - INFO - Epoch [36][450/7330] lr: 1.000e-06, eta: 0:29:37, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0266, loss_cls: 0.1206, acc: 95.3376, loss_bbox: 0.1745, loss_mask: 0.1899, loss: 0.5259 2023-11-15 07:28:58,247 - mmdet - INFO - Epoch [36][500/7330] lr: 1.000e-06, eta: 0:29:24, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0285, loss_cls: 0.1326, acc: 94.9924, loss_bbox: 0.1839, loss_mask: 0.1937, loss: 0.5564 2023-11-15 07:29:11,360 - mmdet - INFO - Epoch [36][550/7330] lr: 1.000e-06, eta: 0:29:11, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0289, loss_cls: 0.1343, acc: 94.8965, loss_bbox: 0.1854, loss_mask: 0.1928, loss: 0.5598 2023-11-15 07:29:24,410 - mmdet - INFO - Epoch [36][600/7330] lr: 1.000e-06, eta: 0:28:58, time: 0.261, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0264, loss_cls: 0.1246, acc: 95.2944, loss_bbox: 0.1762, loss_mask: 0.1886, loss: 0.5316 2023-11-15 07:29:37,289 - mmdet - INFO - Epoch [36][650/7330] lr: 1.000e-06, eta: 0:28:45, time: 0.258, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0289, loss_cls: 0.1317, acc: 95.0251, loss_bbox: 0.1853, loss_mask: 0.1963, loss: 0.5613 2023-11-15 07:29:50,238 - mmdet - INFO - Epoch [36][700/7330] lr: 1.000e-06, eta: 0:28:32, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0259, loss_cls: 0.1262, acc: 95.2034, loss_bbox: 0.1773, loss_mask: 0.1910, loss: 0.5364 2023-11-15 07:30:03,132 - mmdet - INFO - Epoch [36][750/7330] lr: 1.000e-06, eta: 0:28:19, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0284, loss_cls: 0.1258, acc: 95.1895, loss_bbox: 0.1771, loss_mask: 0.1893, loss: 0.5372 2023-11-15 07:30:15,943 - mmdet - INFO - Epoch [36][800/7330] lr: 1.000e-06, eta: 0:28:07, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0277, loss_cls: 0.1250, acc: 95.2139, loss_bbox: 0.1753, loss_mask: 0.1883, loss: 0.5328 2023-11-15 07:30:29,207 - mmdet - INFO - Epoch [36][850/7330] lr: 1.000e-06, eta: 0:27:54, time: 0.265, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0291, loss_cls: 0.1282, acc: 95.1853, loss_bbox: 0.1816, loss_mask: 0.1908, loss: 0.5461 2023-11-15 07:30:42,117 - mmdet - INFO - Epoch [36][900/7330] lr: 1.000e-06, eta: 0:27:41, time: 0.258, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0266, loss_cls: 0.1300, acc: 95.0874, loss_bbox: 0.1813, loss_mask: 0.1944, loss: 0.5480 2023-11-15 07:30:55,017 - mmdet - INFO - Epoch [36][950/7330] lr: 1.000e-06, eta: 0:27:28, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0262, loss_cls: 0.1285, acc: 95.2329, loss_bbox: 0.1751, loss_mask: 0.1910, loss: 0.5370 2023-11-15 07:31:08,063 - mmdet - INFO - Epoch [36][1000/7330] lr: 1.000e-06, eta: 0:27:15, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0294, loss_cls: 0.1293, acc: 95.0823, loss_bbox: 0.1809, loss_mask: 0.1925, loss: 0.5492 2023-11-15 07:31:20,796 - mmdet - INFO - Epoch [36][1050/7330] lr: 1.000e-06, eta: 0:27:02, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0246, loss_cls: 0.1220, acc: 95.3916, loss_bbox: 0.1732, loss_mask: 0.1853, loss: 0.5201 2023-11-15 07:31:34,206 - mmdet - INFO - Epoch [36][1100/7330] lr: 1.000e-06, eta: 0:26:49, time: 0.268, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0295, loss_cls: 0.1319, acc: 94.9844, loss_bbox: 0.1818, loss_mask: 0.1904, loss: 0.5513 2023-11-15 07:31:47,274 - mmdet - INFO - Epoch [36][1150/7330] lr: 1.000e-06, eta: 0:26:36, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0286, loss_cls: 0.1289, acc: 95.0916, loss_bbox: 0.1810, loss_mask: 0.1948, loss: 0.5494 2023-11-15 07:32:00,160 - mmdet - INFO - Epoch [36][1200/7330] lr: 1.000e-06, eta: 0:26:23, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0284, loss_cls: 0.1333, acc: 94.9932, loss_bbox: 0.1843, loss_mask: 0.1861, loss: 0.5492 2023-11-15 07:32:13,085 - mmdet - INFO - Epoch [36][1250/7330] lr: 1.000e-06, eta: 0:26:10, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0288, loss_cls: 0.1293, acc: 95.0210, loss_bbox: 0.1826, loss_mask: 0.1931, loss: 0.5492 2023-11-15 07:32:26,061 - mmdet - INFO - Epoch [36][1300/7330] lr: 1.000e-06, eta: 0:25:57, time: 0.259, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0147, loss_rpn_bbox: 0.0269, loss_cls: 0.1284, acc: 95.1665, loss_bbox: 0.1824, loss_mask: 0.1935, loss: 0.5459 2023-11-15 07:32:39,223 - mmdet - INFO - Epoch [36][1350/7330] lr: 1.000e-06, eta: 0:25:44, time: 0.263, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0283, loss_cls: 0.1312, acc: 95.0278, loss_bbox: 0.1781, loss_mask: 0.1929, loss: 0.5483 2023-11-15 07:32:52,369 - mmdet - INFO - Epoch [36][1400/7330] lr: 1.000e-06, eta: 0:25:32, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0296, loss_cls: 0.1324, acc: 95.0425, loss_bbox: 0.1838, loss_mask: 0.1963, loss: 0.5592 2023-11-15 07:33:05,185 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:33:05,185 - mmdet - INFO - Epoch [36][1450/7330] lr: 1.000e-06, eta: 0:25:19, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0267, loss_cls: 0.1201, acc: 95.5271, loss_bbox: 0.1750, loss_mask: 0.1864, loss: 0.5245 2023-11-15 07:33:18,051 - mmdet - INFO - Epoch [36][1500/7330] lr: 1.000e-06, eta: 0:25:06, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0290, loss_cls: 0.1299, acc: 95.0515, loss_bbox: 0.1827, loss_mask: 0.1949, loss: 0.5538 2023-11-15 07:33:30,851 - mmdet - INFO - Epoch [36][1550/7330] lr: 1.000e-06, eta: 0:24:53, time: 0.256, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0284, loss_cls: 0.1301, acc: 95.1040, loss_bbox: 0.1828, loss_mask: 0.1952, loss: 0.5541 2023-11-15 07:33:43,804 - mmdet - INFO - Epoch [36][1600/7330] lr: 1.000e-06, eta: 0:24:40, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0270, loss_cls: 0.1225, acc: 95.3687, loss_bbox: 0.1743, loss_mask: 0.1888, loss: 0.5296 2023-11-15 07:33:56,926 - mmdet - INFO - Epoch [36][1650/7330] lr: 1.000e-06, eta: 0:24:27, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0175, loss_rpn_bbox: 0.0291, loss_cls: 0.1325, acc: 94.9824, loss_bbox: 0.1895, loss_mask: 0.1961, loss: 0.5647 2023-11-15 07:34:09,646 - mmdet - INFO - Epoch [36][1700/7330] lr: 1.000e-06, eta: 0:24:14, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0130, loss_rpn_bbox: 0.0233, loss_cls: 0.1144, acc: 95.7158, loss_bbox: 0.1624, loss_mask: 0.1876, loss: 0.5008 2023-11-15 07:34:22,833 - mmdet - INFO - Epoch [36][1750/7330] lr: 1.000e-06, eta: 0:24:01, time: 0.264, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0282, loss_cls: 0.1322, acc: 95.0320, loss_bbox: 0.1799, loss_mask: 0.1908, loss: 0.5477 2023-11-15 07:34:35,984 - mmdet - INFO - Epoch [36][1800/7330] lr: 1.000e-06, eta: 0:23:48, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0272, loss_cls: 0.1281, acc: 95.1921, loss_bbox: 0.1826, loss_mask: 0.1941, loss: 0.5474 2023-11-15 07:34:48,960 - mmdet - INFO - Epoch [36][1850/7330] lr: 1.000e-06, eta: 0:23:35, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0284, loss_cls: 0.1292, acc: 95.0378, loss_bbox: 0.1818, loss_mask: 0.1947, loss: 0.5509 2023-11-15 07:35:01,920 - mmdet - INFO - Epoch [36][1900/7330] lr: 1.000e-06, eta: 0:23:22, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0289, loss_cls: 0.1267, acc: 95.1687, loss_bbox: 0.1807, loss_mask: 0.1928, loss: 0.5445 2023-11-15 07:35:14,873 - mmdet - INFO - Epoch [36][1950/7330] lr: 1.000e-06, eta: 0:23:09, time: 0.259, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0279, loss_cls: 0.1246, acc: 95.3428, loss_bbox: 0.1740, loss_mask: 0.1864, loss: 0.5310 2023-11-15 07:35:32,633 - mmdet - INFO - Epoch [36][2000/7330] lr: 1.000e-06, eta: 0:22:57, time: 0.355, data_time: 0.107, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0270, loss_cls: 0.1230, acc: 95.4043, loss_bbox: 0.1718, loss_mask: 0.1858, loss: 0.5230 2023-11-15 07:35:45,304 - mmdet - INFO - Epoch [36][2050/7330] lr: 1.000e-06, eta: 0:22:44, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0257, loss_cls: 0.1236, acc: 95.3020, loss_bbox: 0.1736, loss_mask: 0.1891, loss: 0.5273 2023-11-15 07:35:58,312 - mmdet - INFO - Epoch [36][2100/7330] lr: 1.000e-06, eta: 0:22:31, time: 0.260, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0170, loss_rpn_bbox: 0.0292, loss_cls: 0.1322, acc: 94.9590, loss_bbox: 0.1903, loss_mask: 0.1946, loss: 0.5633 2023-11-15 07:36:11,120 - mmdet - INFO - Epoch [36][2150/7330] lr: 1.000e-06, eta: 0:22:18, time: 0.256, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0294, loss_cls: 0.1290, acc: 95.1536, loss_bbox: 0.1795, loss_mask: 0.1922, loss: 0.5475 2023-11-15 07:36:24,145 - mmdet - INFO - Epoch [36][2200/7330] lr: 1.000e-06, eta: 0:22:05, time: 0.261, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0271, loss_cls: 0.1252, acc: 95.2195, loss_bbox: 0.1755, loss_mask: 0.1885, loss: 0.5313 2023-11-15 07:36:37,261 - mmdet - INFO - Epoch [36][2250/7330] lr: 1.000e-06, eta: 0:21:52, time: 0.262, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0265, loss_cls: 0.1241, acc: 95.2861, loss_bbox: 0.1764, loss_mask: 0.1916, loss: 0.5349 2023-11-15 07:36:50,459 - mmdet - INFO - Epoch [36][2300/7330] lr: 1.000e-06, eta: 0:21:39, time: 0.264, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0267, loss_cls: 0.1194, acc: 95.4182, loss_bbox: 0.1704, loss_mask: 0.1890, loss: 0.5214 2023-11-15 07:37:03,069 - mmdet - INFO - Epoch [36][2350/7330] lr: 1.000e-06, eta: 0:21:26, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0257, loss_cls: 0.1194, acc: 95.5010, loss_bbox: 0.1663, loss_mask: 0.1861, loss: 0.5140 2023-11-15 07:37:15,815 - mmdet - INFO - Epoch [36][2400/7330] lr: 1.000e-06, eta: 0:21:13, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0281, loss_cls: 0.1316, acc: 95.1213, loss_bbox: 0.1837, loss_mask: 0.1933, loss: 0.5540 2023-11-15 07:37:28,638 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:37:28,638 - mmdet - INFO - Epoch [36][2450/7330] lr: 1.000e-06, eta: 0:21:00, time: 0.256, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0290, loss_cls: 0.1300, acc: 95.0115, loss_bbox: 0.1863, loss_mask: 0.1978, loss: 0.5598 2023-11-15 07:37:41,582 - mmdet - INFO - Epoch [36][2500/7330] lr: 1.000e-06, eta: 0:20:47, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0297, loss_cls: 0.1321, acc: 94.9263, loss_bbox: 0.1867, loss_mask: 0.1934, loss: 0.5600 2023-11-15 07:37:57,255 - mmdet - INFO - Epoch [36][2550/7330] lr: 1.000e-06, eta: 0:20:35, time: 0.313, data_time: 0.071, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0287, loss_cls: 0.1296, acc: 95.0405, loss_bbox: 0.1807, loss_mask: 0.1928, loss: 0.5498 2023-11-15 07:38:09,747 - mmdet - INFO - Epoch [36][2600/7330] lr: 1.000e-06, eta: 0:20:22, time: 0.250, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0255, loss_cls: 0.1223, acc: 95.4021, loss_bbox: 0.1703, loss_mask: 0.1881, loss: 0.5226 2023-11-15 07:38:22,568 - mmdet - INFO - Epoch [36][2650/7330] lr: 1.000e-06, eta: 0:20:09, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0267, loss_cls: 0.1227, acc: 95.3696, loss_bbox: 0.1747, loss_mask: 0.1886, loss: 0.5292 2023-11-15 07:38:35,533 - mmdet - INFO - Epoch [36][2700/7330] lr: 1.000e-06, eta: 0:19:56, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0157, loss_rpn_bbox: 0.0281, loss_cls: 0.1263, acc: 95.2551, loss_bbox: 0.1736, loss_mask: 0.1873, loss: 0.5309 2023-11-15 07:38:48,331 - mmdet - INFO - Epoch [36][2750/7330] lr: 1.000e-06, eta: 0:19:43, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0285, loss_cls: 0.1238, acc: 95.2981, loss_bbox: 0.1731, loss_mask: 0.1885, loss: 0.5306 2023-11-15 07:39:01,215 - mmdet - INFO - Epoch [36][2800/7330] lr: 1.000e-06, eta: 0:19:30, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0248, loss_cls: 0.1241, acc: 95.3394, loss_bbox: 0.1735, loss_mask: 0.1896, loss: 0.5263 2023-11-15 07:39:13,925 - mmdet - INFO - Epoch [36][2850/7330] lr: 1.000e-06, eta: 0:19:17, time: 0.254, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0183, loss_rpn_bbox: 0.0284, loss_cls: 0.1302, acc: 95.0205, loss_bbox: 0.1828, loss_mask: 0.1924, loss: 0.5521 2023-11-15 07:39:27,089 - mmdet - INFO - Epoch [36][2900/7330] lr: 1.000e-06, eta: 0:19:04, time: 0.263, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0281, loss_cls: 0.1249, acc: 95.3264, loss_bbox: 0.1760, loss_mask: 0.1900, loss: 0.5341 2023-11-15 07:39:39,751 - mmdet - INFO - Epoch [36][2950/7330] lr: 1.000e-06, eta: 0:18:51, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0284, loss_cls: 0.1315, acc: 95.0862, loss_bbox: 0.1863, loss_mask: 0.1932, loss: 0.5568 2023-11-15 07:39:52,786 - mmdet - INFO - Epoch [36][3000/7330] lr: 1.000e-06, eta: 0:18:38, time: 0.261, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0276, loss_cls: 0.1255, acc: 95.2275, loss_bbox: 0.1779, loss_mask: 0.1903, loss: 0.5365 2023-11-15 07:40:05,300 - mmdet - INFO - Epoch [36][3050/7330] lr: 1.000e-06, eta: 0:18:25, time: 0.250, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0267, loss_cls: 0.1215, acc: 95.4277, loss_bbox: 0.1717, loss_mask: 0.1893, loss: 0.5238 2023-11-15 07:40:18,189 - mmdet - INFO - Epoch [36][3100/7330] lr: 1.000e-06, eta: 0:18:12, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0277, loss_cls: 0.1311, acc: 95.0908, loss_bbox: 0.1834, loss_mask: 0.1934, loss: 0.5537 2023-11-15 07:40:33,704 - mmdet - INFO - Epoch [36][3150/7330] lr: 1.000e-06, eta: 0:18:00, time: 0.310, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0264, loss_cls: 0.1269, acc: 95.3076, loss_bbox: 0.1760, loss_mask: 0.1930, loss: 0.5394 2023-11-15 07:40:46,779 - mmdet - INFO - Epoch [36][3200/7330] lr: 1.000e-06, eta: 0:17:47, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0289, loss_cls: 0.1302, acc: 95.0051, loss_bbox: 0.1863, loss_mask: 0.1952, loss: 0.5587 2023-11-15 07:40:59,615 - mmdet - INFO - Epoch [36][3250/7330] lr: 1.000e-06, eta: 0:17:34, time: 0.257, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0276, loss_cls: 0.1258, acc: 95.3101, loss_bbox: 0.1751, loss_mask: 0.1904, loss: 0.5336 2023-11-15 07:41:12,506 - mmdet - INFO - Epoch [36][3300/7330] lr: 1.000e-06, eta: 0:17:21, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0262, loss_cls: 0.1233, acc: 95.3176, loss_bbox: 0.1743, loss_mask: 0.1936, loss: 0.5324 2023-11-15 07:41:25,269 - mmdet - INFO - Epoch [36][3350/7330] lr: 1.000e-06, eta: 0:17:08, time: 0.255, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0276, loss_cls: 0.1294, acc: 95.1531, loss_bbox: 0.1816, loss_mask: 0.1906, loss: 0.5457 2023-11-15 07:41:38,040 - mmdet - INFO - Epoch [36][3400/7330] lr: 1.000e-06, eta: 0:16:55, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0145, loss_rpn_bbox: 0.0269, loss_cls: 0.1275, acc: 95.1011, loss_bbox: 0.1791, loss_mask: 0.1935, loss: 0.5414 2023-11-15 07:41:50,819 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:41:50,819 - mmdet - INFO - Epoch [36][3450/7330] lr: 1.000e-06, eta: 0:16:42, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0166, loss_rpn_bbox: 0.0268, loss_cls: 0.1251, acc: 95.3237, loss_bbox: 0.1757, loss_mask: 0.1914, loss: 0.5356 2023-11-15 07:42:03,513 - mmdet - INFO - Epoch [36][3500/7330] lr: 1.000e-06, eta: 0:16:29, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0261, loss_cls: 0.1260, acc: 95.2913, loss_bbox: 0.1743, loss_mask: 0.1886, loss: 0.5305 2023-11-15 07:42:16,286 - mmdet - INFO - Epoch [36][3550/7330] lr: 1.000e-06, eta: 0:16:16, time: 0.255, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0287, loss_cls: 0.1266, acc: 95.2456, loss_bbox: 0.1815, loss_mask: 0.1919, loss: 0.5459 2023-11-15 07:42:29,021 - mmdet - INFO - Epoch [36][3600/7330] lr: 1.000e-06, eta: 0:16:03, time: 0.255, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0150, loss_rpn_bbox: 0.0281, loss_cls: 0.1261, acc: 95.2827, loss_bbox: 0.1727, loss_mask: 0.1951, loss: 0.5371 2023-11-15 07:42:41,611 - mmdet - INFO - Epoch [36][3650/7330] lr: 1.000e-06, eta: 0:15:50, time: 0.252, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0270, loss_cls: 0.1261, acc: 95.2444, loss_bbox: 0.1735, loss_mask: 0.1927, loss: 0.5360 2023-11-15 07:42:54,124 - mmdet - INFO - Epoch [36][3700/7330] lr: 1.000e-06, eta: 0:15:37, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0280, loss_cls: 0.1257, acc: 95.1792, loss_bbox: 0.1802, loss_mask: 0.1944, loss: 0.5446 2023-11-15 07:43:07,102 - mmdet - INFO - Epoch [36][3750/7330] lr: 1.000e-06, eta: 0:15:25, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0269, loss_cls: 0.1218, acc: 95.3726, loss_bbox: 0.1741, loss_mask: 0.1869, loss: 0.5257 2023-11-15 07:43:20,064 - mmdet - INFO - Epoch [36][3800/7330] lr: 1.000e-06, eta: 0:15:12, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0142, loss_rpn_bbox: 0.0245, loss_cls: 0.1210, acc: 95.4680, loss_bbox: 0.1682, loss_mask: 0.1872, loss: 0.5151 2023-11-15 07:43:32,931 - mmdet - INFO - Epoch [36][3850/7330] lr: 1.000e-06, eta: 0:14:59, time: 0.257, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0279, loss_cls: 0.1275, acc: 95.1201, loss_bbox: 0.1778, loss_mask: 0.1904, loss: 0.5398 2023-11-15 07:43:46,009 - mmdet - INFO - Epoch [36][3900/7330] lr: 1.000e-06, eta: 0:14:46, time: 0.262, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0277, loss_cls: 0.1269, acc: 95.1375, loss_bbox: 0.1776, loss_mask: 0.1882, loss: 0.5367 2023-11-15 07:43:59,109 - mmdet - INFO - Epoch [36][3950/7330] lr: 1.000e-06, eta: 0:14:33, time: 0.262, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0276, loss_cls: 0.1302, acc: 95.0637, loss_bbox: 0.1831, loss_mask: 0.1925, loss: 0.5498 2023-11-15 07:44:11,871 - mmdet - INFO - Epoch [36][4000/7330] lr: 1.000e-06, eta: 0:14:20, time: 0.255, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0263, loss_cls: 0.1180, acc: 95.5159, loss_bbox: 0.1683, loss_mask: 0.1911, loss: 0.5198 2023-11-15 07:44:24,441 - mmdet - INFO - Epoch [36][4050/7330] lr: 1.000e-06, eta: 0:14:07, time: 0.251, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0276, loss_cls: 0.1270, acc: 95.1213, loss_bbox: 0.1768, loss_mask: 0.1902, loss: 0.5372 2023-11-15 07:44:37,185 - mmdet - INFO - Epoch [36][4100/7330] lr: 1.000e-06, eta: 0:13:54, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0172, loss_rpn_bbox: 0.0272, loss_cls: 0.1218, acc: 95.3672, loss_bbox: 0.1724, loss_mask: 0.1843, loss: 0.5230 2023-11-15 07:44:50,204 - mmdet - INFO - Epoch [36][4150/7330] lr: 1.000e-06, eta: 0:13:41, time: 0.260, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0171, loss_rpn_bbox: 0.0273, loss_cls: 0.1307, acc: 95.1055, loss_bbox: 0.1834, loss_mask: 0.1917, loss: 0.5501 2023-11-15 07:45:02,866 - mmdet - INFO - Epoch [36][4200/7330] lr: 1.000e-06, eta: 0:13:28, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0188, loss_rpn_bbox: 0.0290, loss_cls: 0.1309, acc: 95.0522, loss_bbox: 0.1833, loss_mask: 0.1954, loss: 0.5575 2023-11-15 07:45:15,453 - mmdet - INFO - Epoch [36][4250/7330] lr: 1.000e-06, eta: 0:13:15, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0173, loss_rpn_bbox: 0.0289, loss_cls: 0.1277, acc: 95.0898, loss_bbox: 0.1829, loss_mask: 0.1920, loss: 0.5488 2023-11-15 07:45:28,270 - mmdet - INFO - Epoch [36][4300/7330] lr: 1.000e-06, eta: 0:13:02, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0287, loss_cls: 0.1284, acc: 95.1631, loss_bbox: 0.1821, loss_mask: 0.1926, loss: 0.5470 2023-11-15 07:45:41,091 - mmdet - INFO - Epoch [36][4350/7330] lr: 1.000e-06, eta: 0:12:49, time: 0.256, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0260, loss_cls: 0.1271, acc: 95.2046, loss_bbox: 0.1790, loss_mask: 0.1904, loss: 0.5402 2023-11-15 07:45:54,005 - mmdet - INFO - Epoch [36][4400/7330] lr: 1.000e-06, eta: 0:12:37, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0177, loss_rpn_bbox: 0.0278, loss_cls: 0.1317, acc: 95.0208, loss_bbox: 0.1809, loss_mask: 0.1927, loss: 0.5508 2023-11-15 07:46:06,593 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:46:06,593 - mmdet - INFO - Epoch [36][4450/7330] lr: 1.000e-06, eta: 0:12:24, time: 0.252, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0251, loss_cls: 0.1195, acc: 95.4744, loss_bbox: 0.1677, loss_mask: 0.1854, loss: 0.5137 2023-11-15 07:46:19,390 - mmdet - INFO - Epoch [36][4500/7330] lr: 1.000e-06, eta: 0:12:11, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0279, loss_cls: 0.1306, acc: 95.0125, loss_bbox: 0.1802, loss_mask: 0.1875, loss: 0.5424 2023-11-15 07:46:32,302 - mmdet - INFO - Epoch [36][4550/7330] lr: 1.000e-06, eta: 0:11:58, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0272, loss_cls: 0.1271, acc: 95.1619, loss_bbox: 0.1801, loss_mask: 0.1914, loss: 0.5411 2023-11-15 07:46:44,967 - mmdet - INFO - Epoch [36][4600/7330] lr: 1.000e-06, eta: 0:11:45, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0291, loss_cls: 0.1267, acc: 95.2644, loss_bbox: 0.1767, loss_mask: 0.1935, loss: 0.5438 2023-11-15 07:46:57,892 - mmdet - INFO - Epoch [36][4650/7330] lr: 1.000e-06, eta: 0:11:32, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0300, loss_cls: 0.1351, acc: 94.8843, loss_bbox: 0.1849, loss_mask: 0.1940, loss: 0.5625 2023-11-15 07:47:10,539 - mmdet - INFO - Epoch [36][4700/7330] lr: 1.000e-06, eta: 0:11:19, time: 0.253, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0277, loss_cls: 0.1238, acc: 95.2737, loss_bbox: 0.1761, loss_mask: 0.1921, loss: 0.5350 2023-11-15 07:47:23,339 - mmdet - INFO - Epoch [36][4750/7330] lr: 1.000e-06, eta: 0:11:06, time: 0.256, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0168, loss_rpn_bbox: 0.0283, loss_cls: 0.1287, acc: 95.1057, loss_bbox: 0.1809, loss_mask: 0.1946, loss: 0.5493 2023-11-15 07:47:35,912 - mmdet - INFO - Epoch [36][4800/7330] lr: 1.000e-06, eta: 0:10:53, time: 0.251, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0268, loss_cls: 0.1230, acc: 95.2737, loss_bbox: 0.1777, loss_mask: 0.1916, loss: 0.5346 2023-11-15 07:47:48,867 - mmdet - INFO - Epoch [36][4850/7330] lr: 1.000e-06, eta: 0:10:40, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0265, loss_cls: 0.1250, acc: 95.2903, loss_bbox: 0.1743, loss_mask: 0.1871, loss: 0.5288 2023-11-15 07:48:01,863 - mmdet - INFO - Epoch [36][4900/7330] lr: 1.000e-06, eta: 0:10:27, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0289, loss_cls: 0.1273, acc: 95.1589, loss_bbox: 0.1769, loss_mask: 0.1885, loss: 0.5380 2023-11-15 07:48:14,587 - mmdet - INFO - Epoch [36][4950/7330] lr: 1.000e-06, eta: 0:10:14, time: 0.254, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0165, loss_rpn_bbox: 0.0268, loss_cls: 0.1291, acc: 95.1514, loss_bbox: 0.1776, loss_mask: 0.1871, loss: 0.5371 2023-11-15 07:48:27,331 - mmdet - INFO - Epoch [36][5000/7330] lr: 1.000e-06, eta: 0:10:02, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0266, loss_cls: 0.1228, acc: 95.2961, loss_bbox: 0.1712, loss_mask: 0.1837, loss: 0.5205 2023-11-15 07:48:40,202 - mmdet - INFO - Epoch [36][5050/7330] lr: 1.000e-06, eta: 0:09:49, time: 0.257, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0178, loss_rpn_bbox: 0.0288, loss_cls: 0.1334, acc: 94.9573, loss_bbox: 0.1854, loss_mask: 0.1930, loss: 0.5584 2023-11-15 07:48:55,684 - mmdet - INFO - Epoch [36][5100/7330] lr: 1.000e-06, eta: 0:09:36, time: 0.310, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0185, loss_rpn_bbox: 0.0282, loss_cls: 0.1266, acc: 95.2219, loss_bbox: 0.1811, loss_mask: 0.1862, loss: 0.5406 2023-11-15 07:49:08,445 - mmdet - INFO - Epoch [36][5150/7330] lr: 1.000e-06, eta: 0:09:23, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0269, loss_cls: 0.1250, acc: 95.2004, loss_bbox: 0.1766, loss_mask: 0.1909, loss: 0.5361 2023-11-15 07:49:21,333 - mmdet - INFO - Epoch [36][5200/7330] lr: 1.000e-06, eta: 0:09:10, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0155, loss_rpn_bbox: 0.0273, loss_cls: 0.1261, acc: 95.2351, loss_bbox: 0.1757, loss_mask: 0.1908, loss: 0.5354 2023-11-15 07:49:34,215 - mmdet - INFO - Epoch [36][5250/7330] lr: 1.000e-06, eta: 0:08:57, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0267, loss_cls: 0.1261, acc: 95.1787, loss_bbox: 0.1771, loss_mask: 0.1853, loss: 0.5319 2023-11-15 07:49:47,048 - mmdet - INFO - Epoch [36][5300/7330] lr: 1.000e-06, eta: 0:08:44, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0274, loss_cls: 0.1281, acc: 95.1792, loss_bbox: 0.1778, loss_mask: 0.1907, loss: 0.5404 2023-11-15 07:49:59,993 - mmdet - INFO - Epoch [36][5350/7330] lr: 1.000e-06, eta: 0:08:31, time: 0.259, data_time: 0.022, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0274, loss_cls: 0.1298, acc: 95.0894, loss_bbox: 0.1790, loss_mask: 0.1936, loss: 0.5451 2023-11-15 07:50:12,727 - mmdet - INFO - Epoch [36][5400/7330] lr: 1.000e-06, eta: 0:08:18, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0158, loss_rpn_bbox: 0.0265, loss_cls: 0.1220, acc: 95.4146, loss_bbox: 0.1721, loss_mask: 0.1894, loss: 0.5258 2023-11-15 07:50:25,251 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:50:25,251 - mmdet - INFO - Epoch [36][5450/7330] lr: 1.000e-06, eta: 0:08:05, time: 0.250, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0156, loss_rpn_bbox: 0.0258, loss_cls: 0.1250, acc: 95.2478, loss_bbox: 0.1762, loss_mask: 0.1907, loss: 0.5334 2023-11-15 07:50:38,189 - mmdet - INFO - Epoch [36][5500/7330] lr: 1.000e-06, eta: 0:07:52, time: 0.259, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0281, loss_cls: 0.1257, acc: 95.2136, loss_bbox: 0.1784, loss_mask: 0.1887, loss: 0.5357 2023-11-15 07:50:50,914 - mmdet - INFO - Epoch [36][5550/7330] lr: 1.000e-06, eta: 0:07:39, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0148, loss_rpn_bbox: 0.0264, loss_cls: 0.1272, acc: 95.1970, loss_bbox: 0.1812, loss_mask: 0.1917, loss: 0.5413 2023-11-15 07:51:03,593 - mmdet - INFO - Epoch [36][5600/7330] lr: 1.000e-06, eta: 0:07:26, time: 0.254, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0182, loss_rpn_bbox: 0.0275, loss_cls: 0.1287, acc: 95.0352, loss_bbox: 0.1792, loss_mask: 0.1932, loss: 0.5468 2023-11-15 07:51:16,239 - mmdet - INFO - Epoch [36][5650/7330] lr: 1.000e-06, eta: 0:07:14, time: 0.253, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0251, loss_cls: 0.1253, acc: 95.3123, loss_bbox: 0.1745, loss_mask: 0.1870, loss: 0.5280 2023-11-15 07:51:28,995 - mmdet - INFO - Epoch [36][5700/7330] lr: 1.000e-06, eta: 0:07:01, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0162, loss_rpn_bbox: 0.0290, loss_cls: 0.1288, acc: 95.1125, loss_bbox: 0.1845, loss_mask: 0.1956, loss: 0.5541 2023-11-15 07:51:41,896 - mmdet - INFO - Epoch [36][5750/7330] lr: 1.000e-06, eta: 0:06:48, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0169, loss_rpn_bbox: 0.0288, loss_cls: 0.1291, acc: 94.9656, loss_bbox: 0.1820, loss_mask: 0.1865, loss: 0.5434 2023-11-15 07:51:54,385 - mmdet - INFO - Epoch [36][5800/7330] lr: 1.000e-06, eta: 0:06:35, time: 0.250, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0186, loss_rpn_bbox: 0.0300, loss_cls: 0.1275, acc: 95.1130, loss_bbox: 0.1824, loss_mask: 0.1935, loss: 0.5521 2023-11-15 07:52:07,057 - mmdet - INFO - Epoch [36][5850/7330] lr: 1.000e-06, eta: 0:06:22, time: 0.253, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0267, loss_cls: 0.1303, acc: 95.0195, loss_bbox: 0.1822, loss_mask: 0.1952, loss: 0.5506 2023-11-15 07:52:19,752 - mmdet - INFO - Epoch [36][5900/7330] lr: 1.000e-06, eta: 0:06:09, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0255, loss_cls: 0.1202, acc: 95.4321, loss_bbox: 0.1715, loss_mask: 0.1897, loss: 0.5222 2023-11-15 07:52:32,965 - mmdet - INFO - Epoch [36][5950/7330] lr: 1.000e-06, eta: 0:05:56, time: 0.264, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0286, loss_cls: 0.1305, acc: 95.0454, loss_bbox: 0.1818, loss_mask: 0.1946, loss: 0.5516 2023-11-15 07:52:45,802 - mmdet - INFO - Epoch [36][6000/7330] lr: 1.000e-06, eta: 0:05:43, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0277, loss_cls: 0.1283, acc: 95.1929, loss_bbox: 0.1773, loss_mask: 0.1923, loss: 0.5415 2023-11-15 07:52:58,810 - mmdet - INFO - Epoch [36][6050/7330] lr: 1.000e-06, eta: 0:05:30, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0180, loss_rpn_bbox: 0.0276, loss_cls: 0.1292, acc: 95.1646, loss_bbox: 0.1779, loss_mask: 0.1910, loss: 0.5437 2023-11-15 07:53:11,913 - mmdet - INFO - Epoch [36][6100/7330] lr: 1.000e-06, eta: 0:05:17, time: 0.262, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0160, loss_rpn_bbox: 0.0277, loss_cls: 0.1266, acc: 95.1643, loss_bbox: 0.1774, loss_mask: 0.1888, loss: 0.5365 2023-11-15 07:53:24,663 - mmdet - INFO - Epoch [36][6150/7330] lr: 1.000e-06, eta: 0:05:04, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0287, loss_cls: 0.1263, acc: 95.1855, loss_bbox: 0.1835, loss_mask: 0.1965, loss: 0.5508 2023-11-15 07:53:37,401 - mmdet - INFO - Epoch [36][6200/7330] lr: 1.000e-06, eta: 0:04:51, time: 0.255, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0245, loss_cls: 0.1214, acc: 95.4570, loss_bbox: 0.1725, loss_mask: 0.1865, loss: 0.5200 2023-11-15 07:53:50,106 - mmdet - INFO - Epoch [36][6250/7330] lr: 1.000e-06, eta: 0:04:39, time: 0.254, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0255, loss_cls: 0.1227, acc: 95.3723, loss_bbox: 0.1705, loss_mask: 0.1905, loss: 0.5252 2023-11-15 07:54:03,063 - mmdet - INFO - Epoch [36][6300/7330] lr: 1.000e-06, eta: 0:04:26, time: 0.259, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0184, loss_rpn_bbox: 0.0299, loss_cls: 0.1312, acc: 95.1128, loss_bbox: 0.1794, loss_mask: 0.1943, loss: 0.5532 2023-11-15 07:54:15,953 - mmdet - INFO - Epoch [36][6350/7330] lr: 1.000e-06, eta: 0:04:13, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0276, loss_cls: 0.1266, acc: 95.1201, loss_bbox: 0.1819, loss_mask: 0.1930, loss: 0.5446 2023-11-15 07:54:28,964 - mmdet - INFO - Epoch [36][6400/7330] lr: 1.000e-06, eta: 0:04:00, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0191, loss_rpn_bbox: 0.0289, loss_cls: 0.1320, acc: 95.0691, loss_bbox: 0.1813, loss_mask: 0.1920, loss: 0.5533 2023-11-15 07:54:41,507 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 07:54:41,507 - mmdet - INFO - Epoch [36][6450/7330] lr: 1.000e-06, eta: 0:03:47, time: 0.251, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0163, loss_rpn_bbox: 0.0273, loss_cls: 0.1268, acc: 95.1934, loss_bbox: 0.1734, loss_mask: 0.1897, loss: 0.5335 2023-11-15 07:54:54,638 - mmdet - INFO - Epoch [36][6500/7330] lr: 1.000e-06, eta: 0:03:34, time: 0.263, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0146, loss_rpn_bbox: 0.0287, loss_cls: 0.1240, acc: 95.2317, loss_bbox: 0.1782, loss_mask: 0.1915, loss: 0.5370 2023-11-15 07:55:10,199 - mmdet - INFO - Epoch [36][6550/7330] lr: 1.000e-06, eta: 0:03:21, time: 0.311, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0265, loss_cls: 0.1207, acc: 95.4436, loss_bbox: 0.1741, loss_mask: 0.1885, loss: 0.5260 2023-11-15 07:55:23,088 - mmdet - INFO - Epoch [36][6600/7330] lr: 1.000e-06, eta: 0:03:08, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0164, loss_rpn_bbox: 0.0282, loss_cls: 0.1287, acc: 95.1555, loss_bbox: 0.1808, loss_mask: 0.1916, loss: 0.5456 2023-11-15 07:55:36,051 - mmdet - INFO - Epoch [36][6650/7330] lr: 1.000e-06, eta: 0:02:55, time: 0.259, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0257, loss_cls: 0.1244, acc: 95.2732, loss_bbox: 0.1757, loss_mask: 0.1902, loss: 0.5319 2023-11-15 07:55:48,963 - mmdet - INFO - Epoch [36][6700/7330] lr: 1.000e-06, eta: 0:02:42, time: 0.258, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0152, loss_rpn_bbox: 0.0253, loss_cls: 0.1226, acc: 95.3296, loss_bbox: 0.1766, loss_mask: 0.1919, loss: 0.5317 2023-11-15 07:56:01,857 - mmdet - INFO - Epoch [36][6750/7330] lr: 1.000e-06, eta: 0:02:29, time: 0.258, data_time: 0.018, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0277, loss_cls: 0.1271, acc: 95.2239, loss_bbox: 0.1785, loss_mask: 0.1859, loss: 0.5345 2023-11-15 07:56:14,594 - mmdet - INFO - Epoch [36][6800/7330] lr: 1.000e-06, eta: 0:02:16, time: 0.255, data_time: 0.013, memory: 4734, loss_rpn_cls: 0.0143, loss_rpn_bbox: 0.0254, loss_cls: 0.1219, acc: 95.4248, loss_bbox: 0.1748, loss_mask: 0.1891, loss: 0.5256 2023-11-15 07:56:27,512 - mmdet - INFO - Epoch [36][6850/7330] lr: 1.000e-06, eta: 0:02:04, time: 0.258, data_time: 0.015, memory: 4734, loss_rpn_cls: 0.0151, loss_rpn_bbox: 0.0266, loss_cls: 0.1284, acc: 95.1831, loss_bbox: 0.1771, loss_mask: 0.1897, loss: 0.5369 2023-11-15 07:56:40,522 - mmdet - INFO - Epoch [36][6900/7330] lr: 1.000e-06, eta: 0:01:51, time: 0.260, data_time: 0.019, memory: 4734, loss_rpn_cls: 0.0161, loss_rpn_bbox: 0.0273, loss_cls: 0.1283, acc: 95.1907, loss_bbox: 0.1778, loss_mask: 0.1899, loss: 0.5394 2023-11-15 07:56:53,308 - mmdet - INFO - Epoch [36][6950/7330] lr: 1.000e-06, eta: 0:01:38, time: 0.256, data_time: 0.014, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0271, loss_cls: 0.1298, acc: 95.0874, loss_bbox: 0.1827, loss_mask: 0.1916, loss: 0.5464 2023-11-15 07:57:06,053 - mmdet - INFO - Epoch [36][7000/7330] lr: 1.000e-06, eta: 0:01:25, time: 0.255, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0181, loss_rpn_bbox: 0.0290, loss_cls: 0.1300, acc: 95.0862, loss_bbox: 0.1790, loss_mask: 0.1914, loss: 0.5475 2023-11-15 07:57:19,016 - mmdet - INFO - Epoch [36][7050/7330] lr: 1.000e-06, eta: 0:01:12, time: 0.259, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0159, loss_rpn_bbox: 0.0263, loss_cls: 0.1227, acc: 95.4265, loss_bbox: 0.1713, loss_mask: 0.1856, loss: 0.5217 2023-11-15 07:57:31,881 - mmdet - INFO - Epoch [36][7100/7330] lr: 1.000e-06, eta: 0:00:59, time: 0.257, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0167, loss_rpn_bbox: 0.0286, loss_cls: 0.1288, acc: 95.0798, loss_bbox: 0.1809, loss_mask: 0.1929, loss: 0.5478 2023-11-15 07:57:44,987 - mmdet - INFO - Epoch [36][7150/7330] lr: 1.000e-06, eta: 0:00:46, time: 0.262, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0174, loss_rpn_bbox: 0.0277, loss_cls: 0.1259, acc: 95.2534, loss_bbox: 0.1785, loss_mask: 0.1934, loss: 0.5429 2023-11-15 07:57:57,991 - mmdet - INFO - Epoch [36][7200/7330] lr: 1.000e-06, eta: 0:00:33, time: 0.260, data_time: 0.016, memory: 4734, loss_rpn_cls: 0.0149, loss_rpn_bbox: 0.0277, loss_cls: 0.1221, acc: 95.3044, loss_bbox: 0.1773, loss_mask: 0.1914, loss: 0.5333 2023-11-15 07:58:11,032 - mmdet - INFO - Epoch [36][7250/7330] lr: 1.000e-06, eta: 0:00:20, time: 0.260, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0154, loss_rpn_bbox: 0.0279, loss_cls: 0.1291, acc: 95.1592, loss_bbox: 0.1798, loss_mask: 0.1961, loss: 0.5483 2023-11-15 07:58:23,939 - mmdet - INFO - Epoch [36][7300/7330] lr: 1.000e-06, eta: 0:00:07, time: 0.258, data_time: 0.017, memory: 4734, loss_rpn_cls: 0.0153, loss_rpn_bbox: 0.0273, loss_cls: 0.1255, acc: 95.2380, loss_bbox: 0.1785, loss_mask: 0.1892, loss: 0.5358 2023-11-15 07:58:32,238 - mmdet - INFO - Saving checkpoint at 36 epochs 2023-11-15 07:59:12,627 - mmdet - INFO - Evaluating bbox... 2023-11-15 07:59:41,704 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.495 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.707 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.543 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 ] = 0.532 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 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.607 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.443 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.643 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.751 2023-11-15 07:59:41,707 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.598 | bicycle | 0.400 | car | 0.508 | | motorcycle | 0.510 | airplane | 0.713 | bus | 0.715 | | train | 0.706 | truck | 0.445 | boat | 0.347 | | traffic light | 0.320 | fire hydrant | 0.737 | stop sign | 0.708 | | parking meter | 0.521 | bench | 0.319 | bird | 0.431 | | cat | 0.750 | dog | 0.704 | horse | 0.656 | | sheep | 0.613 | cow | 0.644 | elephant | 0.709 | | bear | 0.804 | zebra | 0.689 | giraffe | 0.726 | | backpack | 0.238 | umbrella | 0.467 | handbag | 0.252 | | tie | 0.416 | suitcase | 0.506 | frisbee | 0.714 | | skis | 0.325 | snowboard | 0.438 | sports ball | 0.475 | | kite | 0.470 | baseball bat | 0.414 | baseball glove | 0.453 | | skateboard | 0.594 | surfboard | 0.476 | tennis racket | 0.575 | | bottle | 0.463 | wine glass | 0.430 | cup | 0.502 | | fork | 0.496 | knife | 0.312 | spoon | 0.317 | | bowl | 0.470 | banana | 0.293 | apple | 0.280 | | sandwich | 0.431 | orange | 0.348 | broccoli | 0.261 | | carrot | 0.248 | hot dog | 0.443 | pizza | 0.570 | | donut | 0.560 | cake | 0.453 | chair | 0.372 | | couch | 0.498 | potted plant | 0.354 | bed | 0.491 | | dining table | 0.324 | toilet | 0.663 | tv | 0.647 | | laptop | 0.709 | mouse | 0.656 | remote | 0.446 | | keyboard | 0.573 | cell phone | 0.462 | microwave | 0.671 | | oven | 0.410 | toaster | 0.545 | sink | 0.455 | | refrigerator | 0.652 | book | 0.214 | clock | 0.513 | | vase | 0.420 | scissors | 0.484 | teddy bear | 0.536 | | hair drier | 0.151 | toothbrush | 0.363 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 07:59:41,707 - mmdet - INFO - Evaluating segm... 2023-11-15 08:00:10,282 - mmdet - INFO - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.440 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1000 ] = 0.678 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1000 ] = 0.474 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1000 ] = 0.255 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1000 ] = 0.473 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 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.545 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1000 ] = 0.545 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 ] = 0.583 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=1000 ] = 0.704 2023-11-15 08:00:10,285 - mmdet - INFO - +---------------+-------+--------------+-------+----------------+-------+ | category | AP | category | AP | category | AP | +---------------+-------+--------------+-------+----------------+-------+ | person | 0.517 | bicycle | 0.245 | car | 0.465 | | motorcycle | 0.405 | airplane | 0.556 | bus | 0.694 | | train | 0.686 | truck | 0.425 | boat | 0.311 | | traffic light | 0.302 | fire hydrant | 0.696 | stop sign | 0.674 | | parking meter | 0.526 | bench | 0.234 | bird | 0.352 | | cat | 0.728 | dog | 0.658 | horse | 0.489 | | sheep | 0.536 | cow | 0.550 | elephant | 0.640 | | bear | 0.772 | zebra | 0.582 | giraffe | 0.574 | | backpack | 0.242 | umbrella | 0.511 | handbag | 0.236 | | tie | 0.377 | suitcase | 0.511 | frisbee | 0.656 | | skis | 0.066 | snowboard | 0.284 | sports ball | 0.453 | | kite | 0.328 | baseball bat | 0.326 | baseball glove | 0.468 | | skateboard | 0.393 | surfboard | 0.395 | tennis racket | 0.600 | | bottle | 0.437 | wine glass | 0.389 | cup | 0.495 | | fork | 0.251 | knife | 0.205 | spoon | 0.225 | | bowl | 0.429 | banana | 0.236 | apple | 0.265 | | sandwich | 0.457 | orange | 0.349 | broccoli | 0.235 | | carrot | 0.217 | hot dog | 0.366 | pizza | 0.545 | | donut | 0.560 | cake | 0.456 | chair | 0.263 | | couch | 0.417 | potted plant | 0.301 | bed | 0.397 | | dining table | 0.196 | toilet | 0.627 | tv | 0.671 | | laptop | 0.690 | mouse | 0.646 | remote | 0.393 | | keyboard | 0.559 | cell phone | 0.431 | microwave | 0.675 | | oven | 0.369 | toaster | 0.556 | sink | 0.417 | | refrigerator | 0.659 | book | 0.157 | clock | 0.506 | | vase | 0.408 | scissors | 0.340 | teddy bear | 0.517 | | hair drier | 0.139 | toothbrush | 0.253 | None | None | +---------------+-------+--------------+-------+----------------+-------+ 2023-11-15 08:00:10,708 - mmdet - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/detection/work_dirs/mask_rcnn_flash_internimage_t_fpn_3x_coco/best_bbox_mAP_epoch_30.pth was removed 2023-11-15 08:00:12,308 - mmdet - INFO - Now best checkpoint is saved as best_bbox_mAP_epoch_36.pth. 2023-11-15 08:00:12,309 - mmdet - INFO - Best bbox_mAP is 0.4947 at 36 epoch. 2023-11-15 08:00:12,309 - mmdet - INFO - Exp name: mask_rcnn_flash_internimage_t_fpn_3x_coco.py 2023-11-15 08:00:12,309 - mmdet - INFO - Epoch(val) [36][625] bbox_mAP: 0.4947, bbox_mAP_50: 0.7067, bbox_mAP_75: 0.5430, bbox_mAP_s: 0.3385, bbox_mAP_m: 0.5320, bbox_mAP_l: 0.6407, bbox_mAP_copypaste: 0.4947 0.7067 0.5430 0.3385 0.5320 0.6407, segm_mAP: 0.4396, segm_mAP_50: 0.6775, segm_mAP_75: 0.4737, segm_mAP_s: 0.2552, segm_mAP_m: 0.4727, segm_mAP_l: 0.6244, segm_mAP_copypaste: 0.4396 0.6775 0.4737 0.2552 0.4727 0.6244