2022/08/26 15:47:55 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] CUDA available: True numpy_random_seed: 1137921029 GPU 0: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.5.4 MMEngine: 0.0.1 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 1 ------------------------------------------------------------ 2022/08/26 15:47:56 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='MMDetWrapper', text_repr_type='poly', cfg=dict( type='MaskRCNN', data_preprocessor=dict( type='DetDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_size_divisor=32), backbone=dict( type='ResNet', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, norm_cfg=dict(type='BN', requires_grad=True), norm_eval=True, style='pytorch', init_cfg=dict( type='Pretrained', checkpoint='torchvision://resnet50')), neck=dict( type='FPN', in_channels=[256, 512, 1024, 2048], out_channels=256, num_outs=5), rpn_head=dict( type='RPNHead', in_channels=256, feat_channels=256, anchor_generator=dict( type='AnchorGenerator', scales=[4], ratios=[0.17, 0.44, 1.13, 2.9, 7.46], 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=0.0), 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=1, 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=0.0), 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=1, 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)))) train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5, contrast=0.5), dict( type='RandomResize', scale=(640, 640), ratio_range=(1.0, 4.125), keep_ratio=True), dict(type='RandomFlip', prob=0.5), dict(type='TextDetRandomCrop', target_size=(640, 640)), dict(type='MMOCR2MMDet', poly2mask=True), dict( type='mmdet.PackDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'flip', 'scale_factor', 'flip_direction')) ] test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1920, 1920), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] ctw_det_data_root = 'data/det/ctw1500' ctw_det_train = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5, contrast=0.5), dict( type='RandomResize', scale=(640, 640), ratio_range=(1.0, 4.125), keep_ratio=True), dict(type='RandomFlip', prob=0.5), dict(type='TextDetRandomCrop', target_size=(640, 640)), dict(type='MMOCR2MMDet', poly2mask=True), dict( type='mmdet.PackDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'flip', 'scale_factor', 'flip_direction')) ]) ctw_det_test = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1600, 1600), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) default_scope = 'mmocr' env_cfg = dict( cudnn_benchmark=True, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) randomness = dict(seed=None) default_hooks = dict( timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=5), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=20, out_dir=''), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffer=dict(type='SyncBuffersHook'), visualization=dict( type='VisualizationHook', interval=1, enable=False, show=False, draw_gt=False, draw_pred=False)) log_level = 'INFO' log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True) load_from = None resume = True val_evaluator = dict(type='HmeanIOUMetric') test_evaluator = dict(type='HmeanIOUMetric') vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='TextDetLocalVisualizer', name='visualizer', vis_backends=[dict(type='LocalVisBackend')]) optim_wrapper = dict( type='OptimWrapper', optimizer=dict(type='SGD', lr=0.08, momentum=0.9, weight_decay=0.0001)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=160, val_interval=20) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict(type='LinearLR', end=500, start_factor=0.001, by_epoch=False), dict(type='MultiStepLR', milestones=[80, 128], end=160) ] ctw_test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1600, 1600), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ] train_dataloader = dict( batch_size=8, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5, contrast=0.5), dict( type='RandomResize', scale=(640, 640), ratio_range=(1.0, 4.125), keep_ratio=True), dict(type='RandomFlip', prob=0.5), dict(type='TextDetRandomCrop', target_size=(640, 640)), dict(type='MMOCR2MMDet', poly2mask=True), dict( type='mmdet.PackDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'flip', 'scale_factor', 'flip_direction')) ])) val_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1600, 1600), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) test_dataloader = dict( batch_size=1, num_workers=1, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1600, 1600), keep_ratio=True), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ])) launcher = 'slurm' work_dir = './work_dirs/mask-rcnn_resnet50_fpn_160e_ctw1500' Name of parameter - Initialization information wrapped_model.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 wrapped_model.neck.lateral_convs.0.conv.weight - torch.Size([256, 256, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.neck.lateral_convs.1.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.neck.lateral_convs.2.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.neck.lateral_convs.3.conv.weight - torch.Size([256, 2048, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.rpn_head.rpn_cls.weight - torch.Size([5, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.rpn_head.rpn_cls.bias - torch.Size([5]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.rpn_head.rpn_reg.weight - torch.Size([20, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.rpn_head.rpn_reg.bias - torch.Size([20]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.roi_head.bbox_head.fc_cls.weight - torch.Size([2, 1024]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.roi_head.bbox_head.fc_cls.bias - torch.Size([2]): NormalInit: mean=0, std=0.01, bias=0 wrapped_model.roi_head.bbox_head.fc_reg.weight - torch.Size([4, 1024]): NormalInit: mean=0, std=0.001, bias=0 wrapped_model.roi_head.bbox_head.fc_reg.bias - torch.Size([4]): NormalInit: mean=0, std=0.001, bias=0 wrapped_model.roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.roi_head.bbox_head.shared_fcs.1.weight - torch.Size([1024, 1024]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.roi_head.bbox_head.shared_fcs.1.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 wrapped_model.roi_head.mask_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule wrapped_model.roi_head.mask_head.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.roi_head.mask_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule wrapped_model.roi_head.mask_head.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.roi_head.mask_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule wrapped_model.roi_head.mask_head.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.roi_head.mask_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule wrapped_model.roi_head.mask_head.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MMDetWrapper wrapped_model.roi_head.mask_head.upsample.weight - torch.Size([256, 256, 2, 2]): Initialized by user-defined `init_weights` in FCNMaskHead wrapped_model.roi_head.mask_head.upsample.bias - torch.Size([256]): Initialized by user-defined `init_weights` in FCNMaskHead wrapped_model.roi_head.mask_head.conv_logits.weight - torch.Size([1, 256, 1, 1]): Initialized by user-defined `init_weights` in FCNMaskHead wrapped_model.roi_head.mask_head.conv_logits.bias - torch.Size([1]): Initialized by user-defined `init_weights` in FCNMaskHead 2022/08/26 15:53:08 - mmengine - INFO - Auto resumed from the latest checkpoint None. 2022/08/26 15:57:46 - mmengine - INFO - Epoch(train) [1][5/125] lr: 7.2064e-04 memory: 38601 data_time: 53.2515 loss_rpn_cls: 0.7008 loss_rpn_bbox: 0.0161 loss_cls: 0.5490 acc: 99.6338 loss_bbox: 0.0024 loss_mask: 2.1685 loss: 3.4368 time: 55.5887 2022/08/26 15:57:48 - mmengine - INFO - Epoch(train) [1][10/125] lr: 1.5214e-03 eta: 6 days, 11:32:22 time: 28.0111 data_time: 26.7139 memory: 5559 loss_rpn_cls: 0.6975 loss_rpn_bbox: 0.0199 loss_cls: 0.3315 acc: 99.1699 loss_bbox: 0.0013 loss_mask: 1.7300 loss: 2.7803 2022/08/26 15:57:50 - mmengine - INFO - Epoch(train) [1][15/125] lr: 2.3222e-03 eta: 6 days, 11:32:22 time: 0.4106 data_time: 0.1455 memory: 5607 loss_rpn_cls: 0.6895 loss_rpn_bbox: 0.0316 loss_cls: 0.0921 acc: 98.1689 loss_bbox: 0.0019 loss_mask: 0.9982 loss: 1.8134 2022/08/26 15:57:52 - mmengine - INFO - Epoch(train) [1][20/125] lr: 3.1230e-03 eta: 3 days, 6:48:45 time: 0.3899 data_time: 0.1146 memory: 5558 loss_rpn_cls: 0.6735 loss_rpn_bbox: 0.0346 loss_cls: 0.0651 acc: 99.2920 loss_bbox: 0.0046 loss_mask: 0.6547 loss: 1.4326 2022/08/26 15:57:54 - mmengine - INFO - Epoch(train) [1][25/125] lr: 3.9238e-03 eta: 3 days, 6:48:45 time: 0.3708 data_time: 0.0822 memory: 5652 loss_rpn_cls: 0.6447 loss_rpn_bbox: 0.0276 loss_cls: 0.0813 acc: 97.9004 loss_bbox: 0.0200 loss_mask: 0.6137 loss: 1.3873 2022/08/26 15:57:56 - mmengine - INFO - Epoch(train) [1][30/125] lr: 4.7246e-03 eta: 2 days, 5:12:58 time: 0.3790 data_time: 0.0977 memory: 5559 loss_rpn_cls: 0.5938 loss_rpn_bbox: 0.0199 loss_cls: 0.0823 acc: 99.1211 loss_bbox: 0.0297 loss_mask: 0.6360 loss: 1.3618 2022/08/26 15:57:59 - mmengine - INFO - Epoch(train) [1][35/125] lr: 5.5255e-03 eta: 2 days, 5:12:58 time: 0.4543 data_time: 0.1017 memory: 5780 loss_rpn_cls: 0.4796 loss_rpn_bbox: 0.0225 loss_cls: 0.0959 acc: 97.1191 loss_bbox: 0.0368 loss_mask: 0.6614 loss: 1.2963 2022/08/26 15:58:01 - mmengine - INFO - Epoch(train) [1][40/125] lr: 6.3263e-03 eta: 1 day, 16:33:59 time: 0.4865 data_time: 0.1173 memory: 5760 loss_rpn_cls: 0.2881 loss_rpn_bbox: 0.0314 loss_cls: 0.1203 acc: 98.0469 loss_bbox: 0.0551 loss_mask: 0.6924 loss: 1.1873 2022/08/26 15:58:03 - mmengine - INFO - Epoch(train) [1][45/125] lr: 7.1271e-03 eta: 1 day, 16:33:59 time: 0.4213 data_time: 0.1264 memory: 5829 loss_rpn_cls: 0.1460 loss_rpn_bbox: 0.0283 loss_cls: 0.1133 acc: 98.3154 loss_bbox: 0.0612 loss_mask: 0.6854 loss: 1.0343 2022/08/26 15:58:05 - mmengine - INFO - Epoch(train) [1][50/125] lr: 7.9279e-03 eta: 1 day, 8:49:50 time: 0.3552 data_time: 0.0684 memory: 5768 loss_rpn_cls: 0.0921 loss_rpn_bbox: 0.0222 loss_cls: 0.1024 acc: 98.3398 loss_bbox: 0.0554 loss_mask: 0.6628 loss: 0.9349 2022/08/26 15:58:07 - mmengine - INFO - Epoch(train) [1][55/125] lr: 8.7287e-03 eta: 1 day, 8:49:50 time: 0.4310 data_time: 0.1375 memory: 5729 loss_rpn_cls: 0.0635 loss_rpn_bbox: 0.0193 loss_cls: 0.0903 acc: 97.9492 loss_bbox: 0.0543 loss_mask: 0.6474 loss: 0.8747 2022/08/26 15:58:09 - mmengine - INFO - Epoch(train) [1][60/125] lr: 9.5295e-03 eta: 1 day, 3:45:43 time: 0.4516 data_time: 0.1389 memory: 5752 loss_rpn_cls: 0.0673 loss_rpn_bbox: 0.0231 loss_cls: 0.0988 acc: 97.4609 loss_bbox: 0.0636 loss_mask: 0.6018 loss: 0.8547 2022/08/26 15:58:11 - mmengine - INFO - Epoch(train) [1][65/125] lr: 1.0330e-02 eta: 1 day, 3:45:43 time: 0.4124 data_time: 0.0917 memory: 5817 loss_rpn_cls: 0.0803 loss_rpn_bbox: 0.0239 loss_cls: 0.0988 acc: 98.3154 loss_bbox: 0.0624 loss_mask: 0.5898 loss: 0.8553 2022/08/26 15:58:13 - mmengine - INFO - Epoch(train) [1][70/125] lr: 1.1131e-02 eta: 1 day, 0:06:21 time: 0.4069 data_time: 0.0998 memory: 5785 loss_rpn_cls: 0.0718 loss_rpn_bbox: 0.0197 loss_cls: 0.0920 acc: 98.4375 loss_bbox: 0.0570 loss_mask: 0.5769 loss: 0.8175 2022/08/26 15:58:15 - mmengine - INFO - Epoch(train) [1][75/125] lr: 1.1932e-02 eta: 1 day, 0:06:21 time: 0.3657 data_time: 0.0794 memory: 5617 loss_rpn_cls: 0.0626 loss_rpn_bbox: 0.0205 loss_cls: 0.0922 acc: 98.3887 loss_bbox: 0.0565 loss_mask: 0.5381 loss: 0.7699 2022/08/26 15:58:17 - mmengine - INFO - Epoch(train) [1][80/125] lr: 1.2733e-02 eta: 21:20:19 time: 0.3712 data_time: 0.0822 memory: 5800 loss_rpn_cls: 0.0694 loss_rpn_bbox: 0.0242 loss_cls: 0.1012 acc: 97.2900 loss_bbox: 0.0636 loss_mask: 0.6165 loss: 0.8750 2022/08/26 15:58:20 - mmengine - INFO - Epoch(train) [1][85/125] lr: 1.3533e-02 eta: 21:20:19 time: 0.4696 data_time: 0.0983 memory: 5740 loss_rpn_cls: 0.0725 loss_rpn_bbox: 0.0242 loss_cls: 0.1078 acc: 97.3633 loss_bbox: 0.0712 loss_mask: 0.6670 loss: 0.9427 2022/08/26 15:58:22 - mmengine - INFO - Epoch(train) [1][90/125] lr: 1.4334e-02 eta: 19:15:17 time: 0.4828 data_time: 0.1211 memory: 5789 loss_rpn_cls: 0.0656 loss_rpn_bbox: 0.0186 loss_cls: 0.0981 acc: 98.2910 loss_bbox: 0.0657 loss_mask: 0.6213 loss: 0.8693 2022/08/26 15:58:24 - mmengine - INFO - Epoch(train) [1][95/125] lr: 1.5135e-02 eta: 19:15:17 time: 0.4171 data_time: 0.1113 memory: 5743 loss_rpn_cls: 0.0597 loss_rpn_bbox: 0.0209 loss_cls: 0.0867 acc: 97.6807 loss_bbox: 0.0608 loss_mask: 0.5708 loss: 0.7988 2022/08/26 15:58:26 - mmengine - INFO - Epoch(train) [1][100/125] lr: 1.5936e-02 eta: 17:34:30 time: 0.4603 data_time: 0.0904 memory: 5841 loss_rpn_cls: 0.0535 loss_rpn_bbox: 0.0214 loss_cls: 0.0888 acc: 97.3145 loss_bbox: 0.0705 loss_mask: 0.5398 loss: 0.7739 2022/08/26 15:58:28 - mmengine - INFO - Epoch(train) [1][105/125] lr: 1.6737e-02 eta: 17:34:30 time: 0.4262 data_time: 0.0769 memory: 5599 loss_rpn_cls: 0.0506 loss_rpn_bbox: 0.0163 loss_cls: 0.0849 acc: 99.0723 loss_bbox: 0.0644 loss_mask: 0.5488 loss: 0.7651 2022/08/26 15:58:30 - mmengine - INFO - Epoch(train) [1][110/125] lr: 1.7537e-02 eta: 16:08:54 time: 0.3565 data_time: 0.0643 memory: 5958 loss_rpn_cls: 0.0631 loss_rpn_bbox: 0.0206 loss_cls: 0.0904 acc: 99.0723 loss_bbox: 0.0588 loss_mask: 0.5704 loss: 0.8033 2022/08/26 15:58:33 - mmengine - INFO - Epoch(train) [1][115/125] lr: 1.8338e-02 eta: 16:08:54 time: 0.4719 data_time: 0.1870 memory: 5756 loss_rpn_cls: 0.0687 loss_rpn_bbox: 0.0247 loss_cls: 0.0961 acc: 98.2910 loss_bbox: 0.0638 loss_mask: 0.5746 loss: 0.8279 2022/08/26 15:58:36 - mmengine - INFO - Epoch(train) [1][120/125] lr: 1.9139e-02 eta: 15:04:07 time: 0.5944 data_time: 0.3193 memory: 5684 loss_rpn_cls: 0.0688 loss_rpn_bbox: 0.0271 loss_cls: 0.0879 acc: 97.8760 loss_bbox: 0.0584 loss_mask: 0.5106 loss: 0.7528 2022/08/26 15:58:38 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 15:58:38 - mmengine - INFO - Epoch(train) [1][125/125] lr: 1.9940e-02 eta: 15:04:07 time: 0.4731 data_time: 0.1790 memory: 5991 loss_rpn_cls: 0.0691 loss_rpn_bbox: 0.0285 loss_cls: 0.1036 acc: 98.8281 loss_bbox: 0.0744 loss_mask: 0.5051 loss: 0.7807 2022/08/26 15:58:41 - mmengine - INFO - Epoch(train) [2][5/125] lr: 2.0741e-02 eta: 15:04:07 time: 0.5197 data_time: 0.1581 memory: 5812 loss_rpn_cls: 0.0585 loss_rpn_bbox: 0.0234 loss_cls: 0.1127 acc: 96.7529 loss_bbox: 0.0881 loss_mask: 0.5077 loss: 0.7903 2022/08/26 15:58:43 - mmengine - INFO - Epoch(train) [2][10/125] lr: 2.1541e-02 eta: 13:36:42 time: 0.5559 data_time: 0.2225 memory: 5600 loss_rpn_cls: 0.0447 loss_rpn_bbox: 0.0170 loss_cls: 0.0977 acc: 97.5342 loss_bbox: 0.0770 loss_mask: 0.4847 loss: 0.7211 2022/08/26 15:58:45 - mmengine - INFO - Epoch(train) [2][15/125] lr: 2.2342e-02 eta: 13:36:42 time: 0.3937 data_time: 0.1249 memory: 5869 loss_rpn_cls: 0.0549 loss_rpn_bbox: 0.0196 loss_cls: 0.0908 acc: 97.3633 loss_bbox: 0.0662 loss_mask: 0.5342 loss: 0.7657 2022/08/26 15:58:48 - mmengine - INFO - Epoch(train) [2][20/125] lr: 2.3143e-02 eta: 12:49:51 time: 0.4324 data_time: 0.1535 memory: 5902 loss_rpn_cls: 0.0630 loss_rpn_bbox: 0.0233 loss_cls: 0.0995 acc: 96.3867 loss_bbox: 0.0733 loss_mask: 0.6117 loss: 0.8709 2022/08/26 15:58:50 - mmengine - INFO - Epoch(train) [2][25/125] lr: 2.3944e-02 eta: 12:49:51 time: 0.5158 data_time: 0.2101 memory: 6168 loss_rpn_cls: 0.0606 loss_rpn_bbox: 0.0232 loss_cls: 0.1180 acc: 94.7754 loss_bbox: 0.0978 loss_mask: 0.6321 loss: 0.9318 2022/08/26 15:58:52 - mmengine - INFO - Epoch(train) [2][30/125] lr: 2.4745e-02 eta: 12:09:40 time: 0.4611 data_time: 0.1611 memory: 5603 loss_rpn_cls: 0.0524 loss_rpn_bbox: 0.0219 loss_cls: 0.1082 acc: 98.1934 loss_bbox: 0.0877 loss_mask: 0.5887 loss: 0.8589 2022/08/26 15:58:55 - mmengine - INFO - Epoch(train) [2][35/125] lr: 2.5545e-02 eta: 12:09:40 time: 0.4508 data_time: 0.1460 memory: 5865 loss_rpn_cls: 0.0561 loss_rpn_bbox: 0.0288 loss_cls: 0.0995 acc: 97.0215 loss_bbox: 0.0724 loss_mask: 0.6069 loss: 0.8638 2022/08/26 15:58:57 - mmengine - INFO - Epoch(train) [2][40/125] lr: 2.6346e-02 eta: 11:34:03 time: 0.4467 data_time: 0.1220 memory: 5914 loss_rpn_cls: 0.0655 loss_rpn_bbox: 0.0301 loss_cls: 0.1185 acc: 96.4355 loss_bbox: 0.0945 loss_mask: 0.5946 loss: 0.9032 2022/08/26 15:58:58 - mmengine - INFO - Epoch(train) [2][45/125] lr: 2.7147e-02 eta: 11:34:03 time: 0.3532 data_time: 0.0595 memory: 5586 loss_rpn_cls: 0.0518 loss_rpn_bbox: 0.0230 loss_cls: 0.1102 acc: 97.8760 loss_bbox: 0.0946 loss_mask: 0.5087 loss: 0.7883 2022/08/26 15:59:01 - mmengine - INFO - Epoch(train) [2][50/125] lr: 2.7948e-02 eta: 11:01:31 time: 0.3956 data_time: 0.1173 memory: 5675 loss_rpn_cls: 0.0466 loss_rpn_bbox: 0.0260 loss_cls: 0.0972 acc: 97.1191 loss_bbox: 0.0833 loss_mask: 0.4779 loss: 0.7311 2022/08/26 15:59:02 - mmengine - INFO - Epoch(train) [2][55/125] lr: 2.8749e-02 eta: 11:01:31 time: 0.3979 data_time: 0.1137 memory: 5805 loss_rpn_cls: 0.0496 loss_rpn_bbox: 0.0288 loss_cls: 0.1032 acc: 97.3633 loss_bbox: 0.0828 loss_mask: 0.4932 loss: 0.7577 2022/08/26 15:59:04 - mmengine - INFO - Epoch(train) [2][60/125] lr: 2.9549e-02 eta: 10:32:05 time: 0.3721 data_time: 0.0831 memory: 5962 loss_rpn_cls: 0.0496 loss_rpn_bbox: 0.0251 loss_cls: 0.1102 acc: 98.7305 loss_bbox: 0.0866 loss_mask: 0.4944 loss: 0.7658 2022/08/26 15:59:06 - mmengine - INFO - Epoch(train) [2][65/125] lr: 3.0350e-02 eta: 10:32:05 time: 0.3707 data_time: 0.0946 memory: 5611 loss_rpn_cls: 0.0497 loss_rpn_bbox: 0.0243 loss_cls: 0.1026 acc: 96.7529 loss_bbox: 0.0829 loss_mask: 0.4948 loss: 0.7545 2022/08/26 15:59:09 - mmengine - INFO - Epoch(train) [2][70/125] lr: 3.1151e-02 eta: 10:07:05 time: 0.4557 data_time: 0.0937 memory: 5596 loss_rpn_cls: 0.0567 loss_rpn_bbox: 0.0261 loss_cls: 0.0964 acc: 97.9980 loss_bbox: 0.0762 loss_mask: 0.4925 loss: 0.7480 2022/08/26 15:59:11 - mmengine - INFO - Epoch(train) [2][75/125] lr: 3.1952e-02 eta: 10:07:05 time: 0.4795 data_time: 0.0991 memory: 5889 loss_rpn_cls: 0.0570 loss_rpn_bbox: 0.0294 loss_cls: 0.0927 acc: 98.4131 loss_bbox: 0.0738 loss_mask: 0.4545 loss: 0.7073 2022/08/26 15:59:13 - mmengine - INFO - Epoch(train) [2][80/125] lr: 3.2753e-02 eta: 9:43:31 time: 0.3935 data_time: 0.0951 memory: 5873 loss_rpn_cls: 0.0565 loss_rpn_bbox: 0.0307 loss_cls: 0.0914 acc: 97.6318 loss_bbox: 0.0725 loss_mask: 0.4583 loss: 0.7093 2022/08/26 15:59:15 - mmengine - INFO - Epoch(train) [2][85/125] lr: 3.3554e-02 eta: 9:43:31 time: 0.4011 data_time: 0.1177 memory: 5849 loss_rpn_cls: 0.0592 loss_rpn_bbox: 0.0254 loss_cls: 0.0943 acc: 96.7041 loss_bbox: 0.0737 loss_mask: 0.4807 loss: 0.7333 2022/08/26 15:59:17 - mmengine - INFO - Epoch(train) [2][90/125] lr: 3.4354e-02 eta: 9:21:48 time: 0.3726 data_time: 0.1065 memory: 5604 loss_rpn_cls: 0.0506 loss_rpn_bbox: 0.0228 loss_cls: 0.0857 acc: 97.8760 loss_bbox: 0.0712 loss_mask: 0.4608 loss: 0.6911 2022/08/26 15:59:18 - mmengine - INFO - Epoch(train) [2][95/125] lr: 3.5155e-02 eta: 9:21:48 time: 0.3399 data_time: 0.0787 memory: 5603 loss_rpn_cls: 0.0423 loss_rpn_bbox: 0.0226 loss_cls: 0.0749 acc: 98.5352 loss_bbox: 0.0616 loss_mask: 0.4301 loss: 0.6314 2022/08/26 15:59:20 - mmengine - INFO - Epoch(train) [2][100/125] lr: 3.5956e-02 eta: 9:01:33 time: 0.3400 data_time: 0.0675 memory: 5732 loss_rpn_cls: 0.0446 loss_rpn_bbox: 0.0250 loss_cls: 0.0799 acc: 98.5840 loss_bbox: 0.0614 loss_mask: 0.4337 loss: 0.6446 2022/08/26 15:59:22 - mmengine - INFO - Epoch(train) [2][105/125] lr: 3.6757e-02 eta: 9:01:33 time: 0.3363 data_time: 0.0611 memory: 5586 loss_rpn_cls: 0.0436 loss_rpn_bbox: 0.0232 loss_cls: 0.0930 acc: 98.1689 loss_bbox: 0.0707 loss_mask: 0.4390 loss: 0.6695 2022/08/26 15:59:23 - mmengine - INFO - Epoch(train) [2][110/125] lr: 3.7558e-02 eta: 8:42:56 time: 0.3348 data_time: 0.0658 memory: 5593 loss_rpn_cls: 0.0432 loss_rpn_bbox: 0.0211 loss_cls: 0.1062 acc: 97.3633 loss_bbox: 0.0824 loss_mask: 0.4575 loss: 0.7105 2022/08/26 15:59:25 - mmengine - INFO - Epoch(train) [2][115/125] lr: 3.8358e-02 eta: 8:42:56 time: 0.3709 data_time: 0.1037 memory: 5604 loss_rpn_cls: 0.0494 loss_rpn_bbox: 0.0249 loss_cls: 0.0931 acc: 97.3145 loss_bbox: 0.0718 loss_mask: 0.4534 loss: 0.6927 2022/08/26 15:59:27 - mmengine - INFO - Epoch(train) [2][120/125] lr: 3.9159e-02 eta: 8:26:14 time: 0.3643 data_time: 0.1026 memory: 5599 loss_rpn_cls: 0.0492 loss_rpn_bbox: 0.0243 loss_cls: 0.0773 acc: 96.8994 loss_bbox: 0.0652 loss_mask: 0.4332 loss: 0.6491 2022/08/26 15:59:31 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 15:59:31 - mmengine - INFO - Epoch(train) [2][125/125] lr: 3.9960e-02 eta: 8:26:14 time: 0.5347 data_time: 0.2256 memory: 5583 loss_rpn_cls: 0.0460 loss_rpn_bbox: 0.0175 loss_cls: 0.0820 acc: 98.2422 loss_bbox: 0.0658 loss_mask: 0.4952 loss: 0.7065 2022/08/26 15:59:34 - mmengine - INFO - Epoch(train) [3][5/125] lr: 4.0761e-02 eta: 8:26:14 time: 0.6610 data_time: 0.3317 memory: 5999 loss_rpn_cls: 0.0518 loss_rpn_bbox: 0.0175 loss_cls: 0.1015 acc: 95.8008 loss_bbox: 0.0662 loss_mask: 0.4994 loss: 0.7364 2022/08/26 15:59:37 - mmengine - INFO - Epoch(train) [3][10/125] lr: 4.1562e-02 eta: 8:04:11 time: 0.5939 data_time: 0.3057 memory: 5837 loss_rpn_cls: 0.0530 loss_rpn_bbox: 0.0249 loss_cls: 0.1106 acc: 96.7773 loss_bbox: 0.0804 loss_mask: 0.4395 loss: 0.7085 2022/08/26 15:59:39 - mmengine - INFO - Epoch(train) [3][15/125] lr: 4.2362e-02 eta: 8:04:11 time: 0.5185 data_time: 0.2230 memory: 6031 loss_rpn_cls: 0.0547 loss_rpn_bbox: 0.0290 loss_cls: 0.1069 acc: 97.6074 loss_bbox: 0.0898 loss_mask: 0.4413 loss: 0.7217 2022/08/26 15:59:41 - mmengine - INFO - Epoch(train) [3][20/125] lr: 4.3163e-02 eta: 7:50:39 time: 0.3813 data_time: 0.0805 memory: 5986 loss_rpn_cls: 0.0484 loss_rpn_bbox: 0.0233 loss_cls: 0.1085 acc: 97.0215 loss_bbox: 0.0962 loss_mask: 0.4436 loss: 0.7200 2022/08/26 15:59:42 - mmengine - INFO - Epoch(train) [3][25/125] lr: 4.3964e-02 eta: 7:50:39 time: 0.3489 data_time: 0.0640 memory: 5925 loss_rpn_cls: 0.0412 loss_rpn_bbox: 0.0180 loss_cls: 0.1021 acc: 96.3867 loss_bbox: 0.0920 loss_mask: 0.4445 loss: 0.6979 2022/08/26 15:59:44 - mmengine - INFO - Epoch(train) [3][30/125] lr: 4.4765e-02 eta: 7:37:55 time: 0.3673 data_time: 0.0715 memory: 5885 loss_rpn_cls: 0.0401 loss_rpn_bbox: 0.0174 loss_cls: 0.1047 acc: 97.5830 loss_bbox: 0.0955 loss_mask: 0.4651 loss: 0.7228 2022/08/26 15:59:46 - mmengine - INFO - Epoch(train) [3][35/125] lr: 4.5566e-02 eta: 7:37:55 time: 0.4021 data_time: 0.1135 memory: 5593 loss_rpn_cls: 0.0415 loss_rpn_bbox: 0.0171 loss_cls: 0.0964 acc: 97.8760 loss_bbox: 0.0885 loss_mask: 0.4829 loss: 0.7263 2022/08/26 15:59:49 - mmengine - INFO - Epoch(train) [3][40/125] lr: 4.6366e-02 eta: 7:27:02 time: 0.4529 data_time: 0.1536 memory: 5975 loss_rpn_cls: 0.0427 loss_rpn_bbox: 0.0170 loss_cls: 0.0937 acc: 97.6074 loss_bbox: 0.0776 loss_mask: 0.4612 loss: 0.6922 2022/08/26 15:59:51 - mmengine - INFO - Epoch(train) [3][45/125] lr: 4.7167e-02 eta: 7:27:02 time: 0.4167 data_time: 0.1023 memory: 6177 loss_rpn_cls: 0.0479 loss_rpn_bbox: 0.0233 loss_cls: 0.1084 acc: 97.1436 loss_bbox: 0.0838 loss_mask: 0.4344 loss: 0.6978 2022/08/26 15:59:52 - mmengine - INFO - Epoch(train) [3][50/125] lr: 4.7968e-02 eta: 7:15:48 time: 0.3543 data_time: 0.0661 memory: 5832 loss_rpn_cls: 0.0472 loss_rpn_bbox: 0.0235 loss_cls: 0.1111 acc: 97.4609 loss_bbox: 0.0911 loss_mask: 0.4303 loss: 0.7033 2022/08/26 15:59:54 - mmengine - INFO - Epoch(train) [3][55/125] lr: 4.8769e-02 eta: 7:15:48 time: 0.3516 data_time: 0.0803 memory: 5580 loss_rpn_cls: 0.0407 loss_rpn_bbox: 0.0247 loss_cls: 0.0984 acc: 97.5586 loss_bbox: 0.0874 loss_mask: 0.4199 loss: 0.6711 2022/08/26 15:59:57 - mmengine - INFO - Epoch(train) [3][60/125] lr: 4.9570e-02 eta: 7:06:06 time: 0.4330 data_time: 0.1562 memory: 5982 loss_rpn_cls: 0.0429 loss_rpn_bbox: 0.0299 loss_cls: 0.0960 acc: 97.1680 loss_bbox: 0.0894 loss_mask: 0.4295 loss: 0.6877 2022/08/26 15:59:59 - mmengine - INFO - Epoch(train) [3][65/125] lr: 5.0370e-02 eta: 7:06:06 time: 0.4558 data_time: 0.1730 memory: 5587 loss_rpn_cls: 0.0423 loss_rpn_bbox: 0.0212 loss_cls: 0.0884 acc: 98.6084 loss_bbox: 0.0833 loss_mask: 0.4441 loss: 0.6793 2022/08/26 16:00:00 - mmengine - INFO - Epoch(train) [3][70/125] lr: 5.1171e-02 eta: 6:56:18 time: 0.3629 data_time: 0.0858 memory: 5935 loss_rpn_cls: 0.0481 loss_rpn_bbox: 0.0211 loss_cls: 0.0898 acc: 97.0459 loss_bbox: 0.0812 loss_mask: 0.4471 loss: 0.6872 2022/08/26 16:00:02 - mmengine - INFO - Epoch(train) [3][75/125] lr: 5.1972e-02 eta: 6:56:18 time: 0.3322 data_time: 0.0614 memory: 5623 loss_rpn_cls: 0.0533 loss_rpn_bbox: 0.0260 loss_cls: 0.1083 acc: 96.3867 loss_bbox: 0.0941 loss_mask: 0.4782 loss: 0.7600 2022/08/26 16:00:04 - mmengine - INFO - Epoch(train) [3][80/125] lr: 5.2773e-02 eta: 6:46:51 time: 0.3385 data_time: 0.0757 memory: 5592 loss_rpn_cls: 0.0475 loss_rpn_bbox: 0.0239 loss_cls: 0.0992 acc: 98.4375 loss_bbox: 0.0874 loss_mask: 0.4962 loss: 0.7543 2022/08/26 16:00:06 - mmengine - INFO - Epoch(train) [3][85/125] lr: 5.3574e-02 eta: 6:46:51 time: 0.4020 data_time: 0.1229 memory: 6051 loss_rpn_cls: 0.0482 loss_rpn_bbox: 0.0292 loss_cls: 0.0973 acc: 97.3633 loss_bbox: 0.0832 loss_mask: 0.5223 loss: 0.7801 2022/08/26 16:00:08 - mmengine - INFO - Epoch(train) [3][90/125] lr: 5.4374e-02 eta: 6:38:33 time: 0.4017 data_time: 0.1082 memory: 5946 loss_rpn_cls: 0.0523 loss_rpn_bbox: 0.0303 loss_cls: 0.1038 acc: 97.3145 loss_bbox: 0.0865 loss_mask: 0.5092 loss: 0.7822 2022/08/26 16:00:10 - mmengine - INFO - Epoch(train) [3][95/125] lr: 5.5175e-02 eta: 6:38:33 time: 0.3965 data_time: 0.0703 memory: 5602 loss_rpn_cls: 0.0451 loss_rpn_bbox: 0.0209 loss_cls: 0.0921 acc: 96.6553 loss_bbox: 0.0858 loss_mask: 0.4299 loss: 0.6738 2022/08/26 16:00:11 - mmengine - INFO - Epoch(train) [3][100/125] lr: 5.5976e-02 eta: 6:30:33 time: 0.3840 data_time: 0.0729 memory: 5597 loss_rpn_cls: 0.0463 loss_rpn_bbox: 0.0225 loss_cls: 0.0879 acc: 97.1680 loss_bbox: 0.0860 loss_mask: 0.4173 loss: 0.6601 2022/08/26 16:00:13 - mmengine - INFO - Epoch(train) [3][105/125] lr: 5.6777e-02 eta: 6:30:33 time: 0.3386 data_time: 0.0744 memory: 5599 loss_rpn_cls: 0.0430 loss_rpn_bbox: 0.0226 loss_cls: 0.0788 acc: 98.2422 loss_bbox: 0.0736 loss_mask: 0.4046 loss: 0.6226 2022/08/26 16:00:15 - mmengine - INFO - Epoch(train) [3][110/125] lr: 5.7578e-02 eta: 6:22:43 time: 0.3519 data_time: 0.0812 memory: 5898 loss_rpn_cls: 0.0413 loss_rpn_bbox: 0.0206 loss_cls: 0.0780 acc: 97.9980 loss_bbox: 0.0705 loss_mask: 0.4046 loss: 0.6150 2022/08/26 16:00:17 - mmengine - INFO - Epoch(train) [3][115/125] lr: 5.8378e-02 eta: 6:22:43 time: 0.3240 data_time: 0.0509 memory: 5950 loss_rpn_cls: 0.0430 loss_rpn_bbox: 0.0225 loss_cls: 0.0919 acc: 97.6318 loss_bbox: 0.0824 loss_mask: 0.4758 loss: 0.7157 2022/08/26 16:00:18 - mmengine - INFO - Epoch(train) [3][120/125] lr: 5.9179e-02 eta: 6:15:11 time: 0.3397 data_time: 0.0629 memory: 5583 loss_rpn_cls: 0.0442 loss_rpn_bbox: 0.0223 loss_cls: 0.0892 acc: 97.4365 loss_bbox: 0.0803 loss_mask: 0.5334 loss: 0.7694 2022/08/26 16:00:20 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:00:20 - mmengine - INFO - Epoch(train) [3][125/125] lr: 5.9980e-02 eta: 6:15:11 time: 0.3734 data_time: 0.0961 memory: 5593 loss_rpn_cls: 0.0542 loss_rpn_bbox: 0.0238 loss_cls: 0.0999 acc: 96.7041 loss_bbox: 0.0827 loss_mask: 0.5317 loss: 0.7924 2022/08/26 16:00:25 - mmengine - INFO - Epoch(train) [4][5/125] lr: 6.0781e-02 eta: 6:15:11 time: 0.5969 data_time: 0.3096 memory: 6270 loss_rpn_cls: 0.0606 loss_rpn_bbox: 0.0305 loss_cls: 0.1218 acc: 93.8965 loss_bbox: 0.1007 loss_mask: 0.4815 loss: 0.7950 2022/08/26 16:00:27 - mmengine - INFO - Epoch(train) [4][10/125] lr: 6.1582e-02 eta: 6:05:59 time: 0.6701 data_time: 0.3863 memory: 5639 loss_rpn_cls: 0.0591 loss_rpn_bbox: 0.0294 loss_cls: 0.1132 acc: 96.9971 loss_bbox: 0.1018 loss_mask: 0.4873 loss: 0.7908 2022/08/26 16:00:30 - mmengine - INFO - Epoch(train) [4][15/125] lr: 6.2382e-02 eta: 6:05:59 time: 0.4998 data_time: 0.2047 memory: 5825 loss_rpn_cls: 0.0456 loss_rpn_bbox: 0.0189 loss_cls: 0.0927 acc: 96.8994 loss_bbox: 0.0834 loss_mask: 0.5198 loss: 0.7604 2022/08/26 16:00:32 - mmengine - INFO - Epoch(train) [4][20/125] lr: 6.3183e-02 eta: 6:00:11 time: 0.4406 data_time: 0.1393 memory: 5909 loss_rpn_cls: 0.0429 loss_rpn_bbox: 0.0233 loss_cls: 0.0923 acc: 97.2900 loss_bbox: 0.0800 loss_mask: 0.4744 loss: 0.7130 2022/08/26 16:00:34 - mmengine - INFO - Epoch(train) [4][25/125] lr: 6.3984e-02 eta: 6:00:11 time: 0.4137 data_time: 0.1421 memory: 5572 loss_rpn_cls: 0.0459 loss_rpn_bbox: 0.0284 loss_cls: 0.1001 acc: 97.8027 loss_bbox: 0.0860 loss_mask: 0.4527 loss: 0.7130 2022/08/26 16:00:36 - mmengine - INFO - Epoch(train) [4][30/125] lr: 6.4785e-02 eta: 5:54:17 time: 0.3935 data_time: 0.1249 memory: 5580 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0240 loss_cls: 0.1016 acc: 96.4844 loss_bbox: 0.0926 loss_mask: 0.4566 loss: 0.7202 2022/08/26 16:00:38 - mmengine - INFO - Epoch(train) [4][35/125] lr: 6.5586e-02 eta: 5:54:17 time: 0.3841 data_time: 0.0871 memory: 6366 loss_rpn_cls: 0.0572 loss_rpn_bbox: 0.0290 loss_cls: 0.1189 acc: 95.9229 loss_bbox: 0.1138 loss_mask: 0.4341 loss: 0.7530 2022/08/26 16:00:39 - mmengine - INFO - Epoch(train) [4][40/125] lr: 6.6386e-02 eta: 5:48:32 time: 0.3779 data_time: 0.0789 memory: 5581 loss_rpn_cls: 0.0509 loss_rpn_bbox: 0.0262 loss_cls: 0.1102 acc: 98.5596 loss_bbox: 0.1006 loss_mask: 0.4392 loss: 0.7271 2022/08/26 16:00:41 - mmengine - INFO - Epoch(train) [4][45/125] lr: 6.7187e-02 eta: 5:48:32 time: 0.3540 data_time: 0.0735 memory: 5593 loss_rpn_cls: 0.0412 loss_rpn_bbox: 0.0179 loss_cls: 0.0880 acc: 96.3867 loss_bbox: 0.0755 loss_mask: 0.4720 loss: 0.6946 2022/08/26 16:00:43 - mmengine - INFO - Epoch(train) [4][50/125] lr: 6.7988e-02 eta: 5:43:14 time: 0.3995 data_time: 0.1131 memory: 6369 loss_rpn_cls: 0.0468 loss_rpn_bbox: 0.0188 loss_cls: 0.1044 acc: 93.6768 loss_bbox: 0.0969 loss_mask: 0.4680 loss: 0.7350 2022/08/26 16:00:45 - mmengine - INFO - Epoch(train) [4][55/125] lr: 6.8789e-02 eta: 5:43:14 time: 0.4212 data_time: 0.1463 memory: 5594 loss_rpn_cls: 0.0406 loss_rpn_bbox: 0.0165 loss_cls: 0.1031 acc: 98.6816 loss_bbox: 0.0953 loss_mask: 0.4417 loss: 0.6971 2022/08/26 16:00:48 - mmengine - INFO - Epoch(train) [4][60/125] lr: 6.9590e-02 eta: 5:38:27 time: 0.4382 data_time: 0.1668 memory: 6100 loss_rpn_cls: 0.0394 loss_rpn_bbox: 0.0161 loss_cls: 0.1035 acc: 97.7295 loss_bbox: 0.0898 loss_mask: 0.4394 loss: 0.6883 2022/08/26 16:00:50 - mmengine - INFO - Epoch(train) [4][65/125] lr: 7.0390e-02 eta: 5:38:27 time: 0.4618 data_time: 0.1295 memory: 5594 loss_rpn_cls: 0.0429 loss_rpn_bbox: 0.0247 loss_cls: 0.1018 acc: 98.6084 loss_bbox: 0.0882 loss_mask: 0.4656 loss: 0.7232 2022/08/26 16:00:52 - mmengine - INFO - Epoch(train) [4][70/125] lr: 7.1191e-02 eta: 5:33:46 time: 0.4223 data_time: 0.0671 memory: 6189 loss_rpn_cls: 0.0421 loss_rpn_bbox: 0.0312 loss_cls: 0.1076 acc: 97.7051 loss_bbox: 0.1005 loss_mask: 0.4618 loss: 0.7433 2022/08/26 16:00:54 - mmengine - INFO - Epoch(train) [4][75/125] lr: 7.1992e-02 eta: 5:33:46 time: 0.4101 data_time: 0.1131 memory: 5590 loss_rpn_cls: 0.0413 loss_rpn_bbox: 0.0281 loss_cls: 0.1184 acc: 96.2891 loss_bbox: 0.1142 loss_mask: 0.4326 loss: 0.7346 2022/08/26 16:00:56 - mmengine - INFO - Epoch(train) [4][80/125] lr: 7.2793e-02 eta: 5:29:10 time: 0.4045 data_time: 0.1117 memory: 5571 loss_rpn_cls: 0.0375 loss_rpn_bbox: 0.0216 loss_cls: 0.1025 acc: 96.5820 loss_bbox: 0.0915 loss_mask: 0.4181 loss: 0.6712 2022/08/26 16:00:58 - mmengine - INFO - Epoch(train) [4][85/125] lr: 7.3594e-02 eta: 5:29:10 time: 0.3950 data_time: 0.0859 memory: 6164 loss_rpn_cls: 0.0388 loss_rpn_bbox: 0.0206 loss_cls: 0.1113 acc: 95.4590 loss_bbox: 0.0959 loss_mask: 0.4001 loss: 0.6668 2022/08/26 16:01:00 - mmengine - INFO - Epoch(train) [4][90/125] lr: 7.4394e-02 eta: 5:24:25 time: 0.3569 data_time: 0.0689 memory: 5922 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0229 loss_cls: 0.1079 acc: 96.9238 loss_bbox: 0.0984 loss_mask: 0.3662 loss: 0.6314 2022/08/26 16:01:01 - mmengine - INFO - Epoch(train) [4][95/125] lr: 7.5195e-02 eta: 5:24:25 time: 0.3539 data_time: 0.0631 memory: 6003 loss_rpn_cls: 0.0403 loss_rpn_bbox: 0.0243 loss_cls: 0.1026 acc: 97.2656 loss_bbox: 0.0989 loss_mask: 0.3559 loss: 0.6219 2022/08/26 16:01:03 - mmengine - INFO - Epoch(train) [4][100/125] lr: 7.5996e-02 eta: 5:20:04 time: 0.3848 data_time: 0.0958 memory: 5578 loss_rpn_cls: 0.0427 loss_rpn_bbox: 0.0227 loss_cls: 0.1115 acc: 96.3623 loss_bbox: 0.1016 loss_mask: 0.3803 loss: 0.6588 2022/08/26 16:01:05 - mmengine - INFO - Epoch(train) [4][105/125] lr: 7.6797e-02 eta: 5:20:04 time: 0.3759 data_time: 0.1038 memory: 5930 loss_rpn_cls: 0.0344 loss_rpn_bbox: 0.0180 loss_cls: 0.1099 acc: 97.1680 loss_bbox: 0.0985 loss_mask: 0.4053 loss: 0.6661 2022/08/26 16:01:07 - mmengine - INFO - Epoch(train) [4][110/125] lr: 7.7598e-02 eta: 5:15:45 time: 0.3648 data_time: 0.0910 memory: 6019 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0186 loss_cls: 0.1051 acc: 95.6543 loss_bbox: 0.0966 loss_mask: 0.4119 loss: 0.6672 2022/08/26 16:01:09 - mmengine - INFO - Epoch(train) [4][115/125] lr: 7.8398e-02 eta: 5:15:45 time: 0.4210 data_time: 0.0859 memory: 5582 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0212 loss_cls: 0.0953 acc: 96.8750 loss_bbox: 0.0864 loss_mask: 0.3914 loss: 0.6299 2022/08/26 16:01:11 - mmengine - INFO - Epoch(train) [4][120/125] lr: 7.9199e-02 eta: 5:11:53 time: 0.4073 data_time: 0.0727 memory: 5663 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0158 loss_cls: 0.0881 acc: 97.3145 loss_bbox: 0.0787 loss_mask: 0.4019 loss: 0.6139 2022/08/26 16:01:13 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:01:13 - mmengine - INFO - Epoch(train) [4][125/125] lr: 8.0000e-02 eta: 5:11:53 time: 0.3335 data_time: 0.0565 memory: 6192 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0159 loss_cls: 0.1025 acc: 96.9482 loss_bbox: 0.0910 loss_mask: 0.4056 loss: 0.6446 2022/08/26 16:01:15 - mmengine - INFO - Epoch(train) [5][5/125] lr: 8.0000e-02 eta: 5:11:53 time: 0.4274 data_time: 0.1531 memory: 5571 loss_rpn_cls: 0.0352 loss_rpn_bbox: 0.0236 loss_cls: 0.1030 acc: 97.6074 loss_bbox: 0.0930 loss_mask: 0.3942 loss: 0.6490 2022/08/26 16:01:18 - mmengine - INFO - Epoch(train) [5][10/125] lr: 8.0000e-02 eta: 5:05:31 time: 0.4779 data_time: 0.1885 memory: 5753 loss_rpn_cls: 0.0381 loss_rpn_bbox: 0.0242 loss_cls: 0.0873 acc: 96.7529 loss_bbox: 0.0803 loss_mask: 0.4001 loss: 0.6299 2022/08/26 16:01:19 - mmengine - INFO - Epoch(train) [5][15/125] lr: 8.0000e-02 eta: 5:05:31 time: 0.3685 data_time: 0.0848 memory: 5586 loss_rpn_cls: 0.0363 loss_rpn_bbox: 0.0204 loss_cls: 0.0859 acc: 98.2422 loss_bbox: 0.0811 loss_mask: 0.3866 loss: 0.6103 2022/08/26 16:01:21 - mmengine - INFO - Epoch(train) [5][20/125] lr: 8.0000e-02 eta: 5:01:28 time: 0.3169 data_time: 0.0507 memory: 5943 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0195 loss_cls: 0.0841 acc: 96.5332 loss_bbox: 0.0843 loss_mask: 0.3711 loss: 0.5878 2022/08/26 16:01:22 - mmengine - INFO - Epoch(train) [5][25/125] lr: 8.0000e-02 eta: 5:01:28 time: 0.3321 data_time: 0.0477 memory: 6139 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0208 loss_cls: 0.0953 acc: 98.3887 loss_bbox: 0.0906 loss_mask: 0.3659 loss: 0.6037 2022/08/26 16:01:24 - mmengine - INFO - Epoch(train) [5][30/125] lr: 8.0000e-02 eta: 4:57:48 time: 0.3541 data_time: 0.0626 memory: 6132 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0224 loss_cls: 0.1115 acc: 96.9482 loss_bbox: 0.0978 loss_mask: 0.3677 loss: 0.6446 2022/08/26 16:01:27 - mmengine - INFO - Epoch(train) [5][35/125] lr: 8.0000e-02 eta: 4:57:48 time: 0.4133 data_time: 0.1373 memory: 5613 loss_rpn_cls: 0.0485 loss_rpn_bbox: 0.0291 loss_cls: 0.1199 acc: 96.0449 loss_bbox: 0.1000 loss_mask: 0.4042 loss: 0.7017 2022/08/26 16:01:29 - mmengine - INFO - Epoch(train) [5][40/125] lr: 8.0000e-02 eta: 4:54:57 time: 0.4673 data_time: 0.1530 memory: 5576 loss_rpn_cls: 0.0354 loss_rpn_bbox: 0.0261 loss_cls: 0.0967 acc: 98.5352 loss_bbox: 0.0726 loss_mask: 0.4082 loss: 0.6392 2022/08/26 16:01:31 - mmengine - INFO - Epoch(train) [5][45/125] lr: 8.0000e-02 eta: 4:54:57 time: 0.4145 data_time: 0.0992 memory: 5582 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0196 loss_cls: 0.0877 acc: 97.5098 loss_bbox: 0.0677 loss_mask: 0.4584 loss: 0.6648 2022/08/26 16:01:32 - mmengine - INFO - Epoch(train) [5][50/125] lr: 8.0000e-02 eta: 4:51:27 time: 0.3428 data_time: 0.0717 memory: 5596 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0192 loss_cls: 0.0988 acc: 96.3623 loss_bbox: 0.0875 loss_mask: 0.4894 loss: 0.7289 2022/08/26 16:01:34 - mmengine - INFO - Epoch(train) [5][55/125] lr: 8.0000e-02 eta: 4:51:27 time: 0.3407 data_time: 0.0627 memory: 5938 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0246 loss_cls: 0.1060 acc: 97.1924 loss_bbox: 0.0965 loss_mask: 0.4531 loss: 0.7129 2022/08/26 16:01:36 - mmengine - INFO - Epoch(train) [5][60/125] lr: 8.0000e-02 eta: 4:48:02 time: 0.3342 data_time: 0.0652 memory: 5560 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0245 loss_cls: 0.1123 acc: 96.8018 loss_bbox: 0.0933 loss_mask: 0.4342 loss: 0.6974 2022/08/26 16:01:37 - mmengine - INFO - Epoch(train) [5][65/125] lr: 8.0000e-02 eta: 4:48:02 time: 0.3200 data_time: 0.0621 memory: 5559 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0175 loss_cls: 0.1017 acc: 97.7295 loss_bbox: 0.0826 loss_mask: 0.4042 loss: 0.6378 2022/08/26 16:01:39 - mmengine - INFO - Epoch(train) [5][70/125] lr: 8.0000e-02 eta: 4:44:50 time: 0.3528 data_time: 0.0852 memory: 5678 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0192 loss_cls: 0.0984 acc: 95.3125 loss_bbox: 0.0854 loss_mask: 0.3782 loss: 0.6128 2022/08/26 16:01:41 - mmengine - INFO - Epoch(train) [5][75/125] lr: 8.0000e-02 eta: 4:44:50 time: 0.3617 data_time: 0.0888 memory: 5557 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0235 loss_cls: 0.0978 acc: 97.0215 loss_bbox: 0.0901 loss_mask: 0.3673 loss: 0.6101 2022/08/26 16:01:42 - mmengine - INFO - Epoch(train) [5][80/125] lr: 8.0000e-02 eta: 4:41:35 time: 0.3215 data_time: 0.0491 memory: 5844 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0267 loss_cls: 0.0938 acc: 96.9971 loss_bbox: 0.0884 loss_mask: 0.3830 loss: 0.6187 2022/08/26 16:01:44 - mmengine - INFO - Epoch(train) [5][85/125] lr: 8.0000e-02 eta: 4:41:35 time: 0.3375 data_time: 0.0616 memory: 6015 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0276 loss_cls: 0.0967 acc: 97.3389 loss_bbox: 0.0873 loss_mask: 0.4125 loss: 0.6544 2022/08/26 16:01:46 - mmengine - INFO - Epoch(train) [5][90/125] lr: 8.0000e-02 eta: 4:38:33 time: 0.3449 data_time: 0.0768 memory: 5578 loss_rpn_cls: 0.0345 loss_rpn_bbox: 0.0251 loss_cls: 0.0897 acc: 97.2412 loss_bbox: 0.0808 loss_mask: 0.4181 loss: 0.6484 2022/08/26 16:01:48 - mmengine - INFO - Epoch(train) [5][95/125] lr: 8.0000e-02 eta: 4:38:33 time: 0.3288 data_time: 0.0662 memory: 5567 loss_rpn_cls: 0.0344 loss_rpn_bbox: 0.0211 loss_cls: 0.0797 acc: 96.1914 loss_bbox: 0.0758 loss_mask: 0.3781 loss: 0.5892 2022/08/26 16:01:51 - mmengine - INFO - Epoch(train) [5][100/125] lr: 8.0000e-02 eta: 4:36:20 time: 0.4751 data_time: 0.1048 memory: 5953 loss_rpn_cls: 0.0380 loss_rpn_bbox: 0.0205 loss_cls: 0.0925 acc: 96.9482 loss_bbox: 0.0941 loss_mask: 0.3750 loss: 0.6202 2022/08/26 16:01:52 - mmengine - INFO - Epoch(train) [5][105/125] lr: 8.0000e-02 eta: 4:36:20 time: 0.4798 data_time: 0.0982 memory: 6221 loss_rpn_cls: 0.0397 loss_rpn_bbox: 0.0308 loss_cls: 0.0965 acc: 98.3643 loss_bbox: 0.1003 loss_mask: 0.3636 loss: 0.6309 2022/08/26 16:01:55 - mmengine - INFO - Epoch(train) [5][110/125] lr: 8.0000e-02 eta: 4:33:43 time: 0.3882 data_time: 0.0922 memory: 6476 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0333 loss_cls: 0.1004 acc: 94.1895 loss_bbox: 0.1019 loss_mask: 0.3676 loss: 0.6367 2022/08/26 16:01:57 - mmengine - INFO - Epoch(train) [5][115/125] lr: 8.0000e-02 eta: 4:33:43 time: 0.4127 data_time: 0.1092 memory: 6129 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0262 loss_cls: 0.1097 acc: 97.2168 loss_bbox: 0.1106 loss_mask: 0.3940 loss: 0.6727 2022/08/26 16:01:59 - mmengine - INFO - Epoch(train) [5][120/125] lr: 8.0000e-02 eta: 4:31:15 time: 0.3993 data_time: 0.0852 memory: 5994 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0265 loss_cls: 0.1038 acc: 97.5098 loss_bbox: 0.0999 loss_mask: 0.3809 loss: 0.6460 2022/08/26 16:02:01 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:02:01 - mmengine - INFO - Epoch(train) [5][125/125] lr: 8.0000e-02 eta: 4:31:15 time: 0.4116 data_time: 0.1071 memory: 6208 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0220 loss_cls: 0.1028 acc: 94.8242 loss_bbox: 0.0926 loss_mask: 0.3851 loss: 0.6352 2022/08/26 16:02:04 - mmengine - INFO - Epoch(train) [6][5/125] lr: 8.0000e-02 eta: 4:31:15 time: 0.5264 data_time: 0.2554 memory: 5622 loss_rpn_cls: 0.0326 loss_rpn_bbox: 0.0165 loss_cls: 0.0981 acc: 97.9980 loss_bbox: 0.0938 loss_mask: 0.4038 loss: 0.6448 2022/08/26 16:02:06 - mmengine - INFO - Epoch(train) [6][10/125] lr: 8.0000e-02 eta: 4:27:10 time: 0.4975 data_time: 0.2367 memory: 5981 loss_rpn_cls: 0.0430 loss_rpn_bbox: 0.0224 loss_cls: 0.0940 acc: 98.6328 loss_bbox: 0.0927 loss_mask: 0.3874 loss: 0.6395 2022/08/26 16:02:07 - mmengine - INFO - Epoch(train) [6][15/125] lr: 8.0000e-02 eta: 4:27:10 time: 0.3428 data_time: 0.0692 memory: 6023 loss_rpn_cls: 0.0424 loss_rpn_bbox: 0.0230 loss_cls: 0.1022 acc: 96.8018 loss_bbox: 0.1010 loss_mask: 0.3825 loss: 0.6512 2022/08/26 16:02:09 - mmengine - INFO - Epoch(train) [6][20/125] lr: 8.0000e-02 eta: 4:24:34 time: 0.3372 data_time: 0.0574 memory: 5633 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0155 loss_cls: 0.0918 acc: 98.3154 loss_bbox: 0.0906 loss_mask: 0.4036 loss: 0.6320 2022/08/26 16:02:11 - mmengine - INFO - Epoch(train) [6][25/125] lr: 8.0000e-02 eta: 4:24:34 time: 0.3913 data_time: 0.1136 memory: 5861 loss_rpn_cls: 0.0377 loss_rpn_bbox: 0.0195 loss_cls: 0.0855 acc: 96.7041 loss_bbox: 0.0790 loss_mask: 0.3955 loss: 0.6172 2022/08/26 16:02:13 - mmengine - INFO - Epoch(train) [6][30/125] lr: 8.0000e-02 eta: 4:22:22 time: 0.4023 data_time: 0.1066 memory: 6245 loss_rpn_cls: 0.0437 loss_rpn_bbox: 0.0306 loss_cls: 0.0967 acc: 96.7285 loss_bbox: 0.0893 loss_mask: 0.3743 loss: 0.6347 2022/08/26 16:02:15 - mmengine - INFO - Epoch(train) [6][35/125] lr: 8.0000e-02 eta: 4:22:22 time: 0.3354 data_time: 0.0481 memory: 5815 loss_rpn_cls: 0.0379 loss_rpn_bbox: 0.0300 loss_cls: 0.1081 acc: 97.5098 loss_bbox: 0.1050 loss_mask: 0.3740 loss: 0.6550 2022/08/26 16:02:18 - mmengine - INFO - Epoch(train) [6][40/125] lr: 8.0000e-02 eta: 4:20:38 time: 0.4834 data_time: 0.2022 memory: 5600 loss_rpn_cls: 0.0383 loss_rpn_bbox: 0.0218 loss_cls: 0.1115 acc: 98.2910 loss_bbox: 0.1088 loss_mask: 0.4327 loss: 0.7130 2022/08/26 16:02:20 - mmengine - INFO - Epoch(train) [6][45/125] lr: 8.0000e-02 eta: 4:20:38 time: 0.5222 data_time: 0.2192 memory: 6228 loss_rpn_cls: 0.0410 loss_rpn_bbox: 0.0227 loss_cls: 0.1120 acc: 94.8486 loss_bbox: 0.1038 loss_mask: 0.4359 loss: 0.7155 2022/08/26 16:02:22 - mmengine - INFO - Epoch(train) [6][50/125] lr: 8.0000e-02 eta: 4:18:41 time: 0.4263 data_time: 0.1319 memory: 6027 loss_rpn_cls: 0.0360 loss_rpn_bbox: 0.0260 loss_cls: 0.1148 acc: 97.5098 loss_bbox: 0.1073 loss_mask: 0.3781 loss: 0.6623 2022/08/26 16:02:24 - mmengine - INFO - Epoch(train) [6][55/125] lr: 8.0000e-02 eta: 4:18:41 time: 0.4000 data_time: 0.1269 memory: 5574 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0309 loss_cls: 0.1016 acc: 97.9980 loss_bbox: 0.0921 loss_mask: 0.3719 loss: 0.6251 2022/08/26 16:02:26 - mmengine - INFO - Epoch(train) [6][60/125] lr: 8.0000e-02 eta: 4:16:26 time: 0.3534 data_time: 0.0863 memory: 5678 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0286 loss_cls: 0.0985 acc: 96.9727 loss_bbox: 0.0913 loss_mask: 0.3668 loss: 0.6145 2022/08/26 16:02:27 - mmengine - INFO - Epoch(train) [6][65/125] lr: 8.0000e-02 eta: 4:16:26 time: 0.3674 data_time: 0.0894 memory: 6172 loss_rpn_cls: 0.0546 loss_rpn_bbox: 0.0279 loss_cls: 0.0982 acc: 98.8037 loss_bbox: 0.0986 loss_mask: 0.3848 loss: 0.6641 2022/08/26 16:02:30 - mmengine - INFO - Epoch(train) [6][70/125] lr: 8.0000e-02 eta: 4:14:28 time: 0.4026 data_time: 0.0680 memory: 5577 loss_rpn_cls: 0.0575 loss_rpn_bbox: 0.0256 loss_cls: 0.0817 acc: 98.5352 loss_bbox: 0.0773 loss_mask: 0.3817 loss: 0.6238 2022/08/26 16:02:32 - mmengine - INFO - Epoch(train) [6][75/125] lr: 8.0000e-02 eta: 4:14:28 time: 0.4043 data_time: 0.0663 memory: 6411 loss_rpn_cls: 0.0404 loss_rpn_bbox: 0.0229 loss_cls: 0.0977 acc: 94.6289 loss_bbox: 0.0960 loss_mask: 0.3421 loss: 0.5990 2022/08/26 16:02:33 - mmengine - INFO - Epoch(train) [6][80/125] lr: 8.0000e-02 eta: 4:12:19 time: 0.3457 data_time: 0.0666 memory: 5679 loss_rpn_cls: 0.0411 loss_rpn_bbox: 0.0251 loss_cls: 0.1198 acc: 96.1426 loss_bbox: 0.1221 loss_mask: 0.3538 loss: 0.6619 2022/08/26 16:02:35 - mmengine - INFO - Epoch(train) [6][85/125] lr: 8.0000e-02 eta: 4:12:19 time: 0.3342 data_time: 0.0555 memory: 6439 loss_rpn_cls: 0.0352 loss_rpn_bbox: 0.0244 loss_cls: 0.1066 acc: 97.6562 loss_bbox: 0.1063 loss_mask: 0.3632 loss: 0.6357 2022/08/26 16:02:37 - mmengine - INFO - Epoch(train) [6][90/125] lr: 8.0000e-02 eta: 4:10:18 time: 0.3648 data_time: 0.0655 memory: 6337 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0243 loss_cls: 0.1047 acc: 97.1680 loss_bbox: 0.1094 loss_mask: 0.3403 loss: 0.6084 2022/08/26 16:02:39 - mmengine - INFO - Epoch(train) [6][95/125] lr: 8.0000e-02 eta: 4:10:18 time: 0.4023 data_time: 0.0827 memory: 6325 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0296 loss_cls: 0.1190 acc: 96.8506 loss_bbox: 0.1293 loss_mask: 0.3319 loss: 0.6421 2022/08/26 16:02:41 - mmengine - INFO - Epoch(train) [6][100/125] lr: 8.0000e-02 eta: 4:08:27 time: 0.3921 data_time: 0.0750 memory: 6059 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0295 loss_cls: 0.1095 acc: 95.9717 loss_bbox: 0.1163 loss_mask: 0.3466 loss: 0.6350 2022/08/26 16:02:43 - mmengine - INFO - Epoch(train) [6][105/125] lr: 8.0000e-02 eta: 4:08:27 time: 0.4002 data_time: 0.1032 memory: 5596 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0211 loss_cls: 0.0905 acc: 96.6064 loss_bbox: 0.0910 loss_mask: 0.3442 loss: 0.5777 2022/08/26 16:02:45 - mmengine - INFO - Epoch(train) [6][110/125] lr: 8.0000e-02 eta: 4:06:47 time: 0.4218 data_time: 0.1439 memory: 5622 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0201 loss_cls: 0.0925 acc: 95.9229 loss_bbox: 0.0957 loss_mask: 0.3515 loss: 0.5927 2022/08/26 16:02:47 - mmengine - INFO - Epoch(train) [6][115/125] lr: 8.0000e-02 eta: 4:06:47 time: 0.3848 data_time: 0.1208 memory: 5679 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0157 loss_cls: 0.0907 acc: 97.6074 loss_bbox: 0.0971 loss_mask: 0.3547 loss: 0.5859 2022/08/26 16:02:49 - mmengine - INFO - Epoch(train) [6][120/125] lr: 8.0000e-02 eta: 4:05:02 time: 0.3925 data_time: 0.0826 memory: 6265 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0212 loss_cls: 0.0992 acc: 95.7520 loss_bbox: 0.1111 loss_mask: 0.3390 loss: 0.5963 2022/08/26 16:02:51 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:02:51 - mmengine - INFO - Epoch(train) [6][125/125] lr: 8.0000e-02 eta: 4:05:02 time: 0.3852 data_time: 0.0553 memory: 6282 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0241 loss_cls: 0.1079 acc: 96.4600 loss_bbox: 0.1225 loss_mask: 0.3508 loss: 0.6351 2022/08/26 16:02:54 - mmengine - INFO - Epoch(train) [7][5/125] lr: 8.0000e-02 eta: 4:05:02 time: 0.4976 data_time: 0.2062 memory: 6071 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0214 loss_cls: 0.0949 acc: 96.2646 loss_bbox: 0.1019 loss_mask: 0.3591 loss: 0.6107 2022/08/26 16:02:56 - mmengine - INFO - Epoch(train) [7][10/125] lr: 8.0000e-02 eta: 4:02:25 time: 0.5682 data_time: 0.2580 memory: 5580 loss_rpn_cls: 0.0342 loss_rpn_bbox: 0.0204 loss_cls: 0.0812 acc: 97.8516 loss_bbox: 0.0795 loss_mask: 0.3681 loss: 0.5834 2022/08/26 16:02:58 - mmengine - INFO - Epoch(train) [7][15/125] lr: 8.0000e-02 eta: 4:02:25 time: 0.4310 data_time: 0.1269 memory: 5757 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0193 loss_cls: 0.0825 acc: 98.6816 loss_bbox: 0.0780 loss_mask: 0.3479 loss: 0.5580 2022/08/26 16:03:00 - mmengine - INFO - Epoch(train) [7][20/125] lr: 8.0000e-02 eta: 4:00:38 time: 0.3604 data_time: 0.0912 memory: 5586 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0178 loss_cls: 0.0924 acc: 97.3145 loss_bbox: 0.0930 loss_mask: 0.3442 loss: 0.5725 2022/08/26 16:03:02 - mmengine - INFO - Epoch(train) [7][25/125] lr: 8.0000e-02 eta: 4:00:38 time: 0.3510 data_time: 0.0718 memory: 6124 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0123 loss_cls: 0.0905 acc: 98.3643 loss_bbox: 0.0996 loss_mask: 0.3427 loss: 0.5657 2022/08/26 16:03:04 - mmengine - INFO - Epoch(train) [7][30/125] lr: 8.0000e-02 eta: 3:58:55 time: 0.3624 data_time: 0.0774 memory: 6091 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0148 loss_cls: 0.0918 acc: 97.9248 loss_bbox: 0.1007 loss_mask: 0.3165 loss: 0.5465 2022/08/26 16:03:05 - mmengine - INFO - Epoch(train) [7][35/125] lr: 8.0000e-02 eta: 3:58:55 time: 0.3563 data_time: 0.0747 memory: 6042 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0154 loss_cls: 0.0980 acc: 96.3379 loss_bbox: 0.1026 loss_mask: 0.3307 loss: 0.5716 2022/08/26 16:03:08 - mmengine - INFO - Epoch(train) [7][40/125] lr: 8.0000e-02 eta: 3:57:26 time: 0.4123 data_time: 0.1269 memory: 6301 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0201 loss_cls: 0.1044 acc: 95.8496 loss_bbox: 0.1086 loss_mask: 0.3388 loss: 0.6006 2022/08/26 16:03:11 - mmengine - INFO - Epoch(train) [7][45/125] lr: 8.0000e-02 eta: 3:57:26 time: 0.5185 data_time: 0.1456 memory: 5603 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0238 loss_cls: 0.1037 acc: 97.3389 loss_bbox: 0.1038 loss_mask: 0.3467 loss: 0.6080 2022/08/26 16:03:12 - mmengine - INFO - Epoch(train) [7][50/125] lr: 8.0000e-02 eta: 3:56:13 time: 0.4685 data_time: 0.0924 memory: 6742 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0210 loss_cls: 0.1100 acc: 96.2891 loss_bbox: 0.1145 loss_mask: 0.3650 loss: 0.6406 2022/08/26 16:03:14 - mmengine - INFO - Epoch(train) [7][55/125] lr: 8.0000e-02 eta: 3:56:13 time: 0.3493 data_time: 0.0597 memory: 6067 loss_rpn_cls: 0.0346 loss_rpn_bbox: 0.0269 loss_cls: 0.1093 acc: 98.2910 loss_bbox: 0.1168 loss_mask: 0.3430 loss: 0.6306 2022/08/26 16:03:16 - mmengine - INFO - Epoch(train) [7][60/125] lr: 8.0000e-02 eta: 3:54:31 time: 0.3358 data_time: 0.0513 memory: 6156 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0272 loss_cls: 0.0996 acc: 97.8516 loss_bbox: 0.1038 loss_mask: 0.3124 loss: 0.5748 2022/08/26 16:03:18 - mmengine - INFO - Epoch(train) [7][65/125] lr: 8.0000e-02 eta: 3:54:31 time: 0.3851 data_time: 0.1059 memory: 5656 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0174 loss_cls: 0.0975 acc: 98.2666 loss_bbox: 0.1042 loss_mask: 0.3197 loss: 0.5643 2022/08/26 16:03:20 - mmengine - INFO - Epoch(train) [7][70/125] lr: 8.0000e-02 eta: 3:53:07 time: 0.4071 data_time: 0.1266 memory: 6010 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0258 loss_cls: 0.1065 acc: 96.6553 loss_bbox: 0.1165 loss_mask: 0.3183 loss: 0.5939 2022/08/26 16:03:22 - mmengine - INFO - Epoch(train) [7][75/125] lr: 8.0000e-02 eta: 3:53:07 time: 0.4286 data_time: 0.1096 memory: 6109 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0322 loss_cls: 0.1128 acc: 97.7295 loss_bbox: 0.1202 loss_mask: 0.3354 loss: 0.6296 2022/08/26 16:03:25 - mmengine - INFO - Epoch(train) [7][80/125] lr: 8.0000e-02 eta: 3:52:06 time: 0.4947 data_time: 0.0936 memory: 6524 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0237 loss_cls: 0.1095 acc: 96.6064 loss_bbox: 0.1222 loss_mask: 0.3459 loss: 0.6264 2022/08/26 16:03:27 - mmengine - INFO - Epoch(train) [7][85/125] lr: 8.0000e-02 eta: 3:52:06 time: 0.5001 data_time: 0.0919 memory: 6095 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0212 loss_cls: 0.1072 acc: 97.4365 loss_bbox: 0.1226 loss_mask: 0.3116 loss: 0.5881 2022/08/26 16:03:30 - mmengine - INFO - Epoch(train) [7][90/125] lr: 8.0000e-02 eta: 3:51:05 time: 0.4934 data_time: 0.1446 memory: 6249 loss_rpn_cls: 0.0365 loss_rpn_bbox: 0.0241 loss_cls: 0.1068 acc: 97.9004 loss_bbox: 0.1128 loss_mask: 0.3095 loss: 0.5897 2022/08/26 16:03:31 - mmengine - INFO - Epoch(train) [7][95/125] lr: 8.0000e-02 eta: 3:51:05 time: 0.4223 data_time: 0.1276 memory: 5567 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0262 loss_cls: 0.0886 acc: 97.2412 loss_bbox: 0.0924 loss_mask: 0.3298 loss: 0.5731 2022/08/26 16:03:33 - mmengine - INFO - Epoch(train) [7][100/125] lr: 8.0000e-02 eta: 3:49:35 time: 0.3541 data_time: 0.0851 memory: 6120 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0231 loss_cls: 0.0804 acc: 97.8027 loss_bbox: 0.0843 loss_mask: 0.3515 loss: 0.5666 2022/08/26 16:03:35 - mmengine - INFO - Epoch(train) [7][105/125] lr: 8.0000e-02 eta: 3:49:35 time: 0.3949 data_time: 0.1084 memory: 6184 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0206 loss_cls: 0.1004 acc: 95.8984 loss_bbox: 0.1040 loss_mask: 0.3603 loss: 0.6185 2022/08/26 16:03:38 - mmengine - INFO - Epoch(train) [7][110/125] lr: 8.0000e-02 eta: 3:48:40 time: 0.5074 data_time: 0.1391 memory: 6103 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0229 loss_cls: 0.1149 acc: 96.3379 loss_bbox: 0.1248 loss_mask: 0.3235 loss: 0.6208 2022/08/26 16:03:41 - mmengine - INFO - Epoch(train) [7][115/125] lr: 8.0000e-02 eta: 3:48:40 time: 0.5379 data_time: 0.1676 memory: 6398 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0250 loss_cls: 0.1180 acc: 96.5820 loss_bbox: 0.1283 loss_mask: 0.3170 loss: 0.6161 2022/08/26 16:03:43 - mmengine - INFO - Epoch(train) [7][120/125] lr: 8.0000e-02 eta: 3:47:32 time: 0.4397 data_time: 0.1609 memory: 5980 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0226 loss_cls: 0.1088 acc: 96.8506 loss_bbox: 0.1120 loss_mask: 0.3153 loss: 0.5836 2022/08/26 16:03:46 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:03:46 - mmengine - INFO - Epoch(train) [7][125/125] lr: 8.0000e-02 eta: 3:47:32 time: 0.4959 data_time: 0.2297 memory: 5737 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0189 loss_cls: 0.1052 acc: 98.0469 loss_bbox: 0.1067 loss_mask: 0.3302 loss: 0.5870 2022/08/26 16:03:49 - mmengine - INFO - Epoch(train) [8][5/125] lr: 8.0000e-02 eta: 3:47:32 time: 0.6154 data_time: 0.3042 memory: 6431 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0181 loss_cls: 0.1081 acc: 95.1416 loss_bbox: 0.1141 loss_mask: 0.3363 loss: 0.6003 2022/08/26 16:03:51 - mmengine - INFO - Epoch(train) [8][10/125] lr: 8.0000e-02 eta: 3:45:30 time: 0.5548 data_time: 0.2140 memory: 7212 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0219 loss_cls: 0.1284 acc: 96.2646 loss_bbox: 0.1488 loss_mask: 0.3094 loss: 0.6330 2022/08/26 16:03:53 - mmengine - INFO - Epoch(train) [8][15/125] lr: 8.0000e-02 eta: 3:45:30 time: 0.4258 data_time: 0.1141 memory: 6236 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0232 loss_cls: 0.1228 acc: 96.8506 loss_bbox: 0.1483 loss_mask: 0.3264 loss: 0.6483 2022/08/26 16:03:55 - mmengine - INFO - Epoch(train) [8][20/125] lr: 8.0000e-02 eta: 3:44:12 time: 0.3746 data_time: 0.0814 memory: 6794 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0246 loss_cls: 0.0969 acc: 97.6807 loss_bbox: 0.1149 loss_mask: 0.3083 loss: 0.5692 2022/08/26 16:03:58 - mmengine - INFO - Epoch(train) [8][25/125] lr: 8.0000e-02 eta: 3:44:12 time: 0.4417 data_time: 0.0850 memory: 6831 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0350 loss_cls: 0.1135 acc: 96.3867 loss_bbox: 0.1375 loss_mask: 0.2954 loss: 0.6074 2022/08/26 16:03:59 - mmengine - INFO - Epoch(train) [8][30/125] lr: 8.0000e-02 eta: 3:43:06 time: 0.4265 data_time: 0.0823 memory: 5980 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0294 loss_cls: 0.1215 acc: 95.3613 loss_bbox: 0.1368 loss_mask: 0.3023 loss: 0.6130 2022/08/26 16:04:02 - mmengine - INFO - Epoch(train) [8][35/125] lr: 8.0000e-02 eta: 3:43:06 time: 0.3976 data_time: 0.1075 memory: 6378 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0252 loss_cls: 0.1183 acc: 96.6797 loss_bbox: 0.1220 loss_mask: 0.3109 loss: 0.6003 2022/08/26 16:04:03 - mmengine - INFO - Epoch(train) [8][40/125] lr: 8.0000e-02 eta: 3:41:56 time: 0.3998 data_time: 0.0986 memory: 6144 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0359 loss_cls: 0.1139 acc: 97.1680 loss_bbox: 0.1131 loss_mask: 0.3379 loss: 0.6318 2022/08/26 16:04:05 - mmengine - INFO - Epoch(train) [8][45/125] lr: 8.0000e-02 eta: 3:41:56 time: 0.3569 data_time: 0.0779 memory: 5980 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0270 loss_cls: 0.0894 acc: 95.7764 loss_bbox: 0.0879 loss_mask: 0.3408 loss: 0.5746 2022/08/26 16:04:07 - mmengine - INFO - Epoch(train) [8][50/125] lr: 8.0000e-02 eta: 3:40:42 time: 0.3682 data_time: 0.0844 memory: 6386 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0259 loss_cls: 0.0886 acc: 95.2881 loss_bbox: 0.1011 loss_mask: 0.3195 loss: 0.5625 2022/08/26 16:04:10 - mmengine - INFO - Epoch(train) [8][55/125] lr: 8.0000e-02 eta: 3:40:42 time: 0.4303 data_time: 0.1137 memory: 5620 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0249 loss_cls: 0.0946 acc: 98.2910 loss_bbox: 0.1048 loss_mask: 0.3442 loss: 0.5951 2022/08/26 16:04:12 - mmengine - INFO - Epoch(train) [8][60/125] lr: 8.0000e-02 eta: 3:39:46 time: 0.4561 data_time: 0.1490 memory: 5950 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0192 loss_cls: 0.0917 acc: 94.8975 loss_bbox: 0.0996 loss_mask: 0.3409 loss: 0.5760 2022/08/26 16:04:13 - mmengine - INFO - Epoch(train) [8][65/125] lr: 8.0000e-02 eta: 3:39:46 time: 0.3686 data_time: 0.0977 memory: 5563 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0187 loss_cls: 0.0834 acc: 97.1924 loss_bbox: 0.0912 loss_mask: 0.3171 loss: 0.5332 2022/08/26 16:04:15 - mmengine - INFO - Epoch(train) [8][70/125] lr: 8.0000e-02 eta: 3:38:24 time: 0.3186 data_time: 0.0526 memory: 5790 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0161 loss_cls: 0.0867 acc: 97.8271 loss_bbox: 0.0888 loss_mask: 0.3323 loss: 0.5462 2022/08/26 16:04:17 - mmengine - INFO - Epoch(train) [8][75/125] lr: 8.0000e-02 eta: 3:38:24 time: 0.3597 data_time: 0.0735 memory: 6321 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0181 loss_cls: 0.1044 acc: 96.1914 loss_bbox: 0.1139 loss_mask: 0.3444 loss: 0.6088 2022/08/26 16:04:19 - mmengine - INFO - Epoch(train) [8][80/125] lr: 8.0000e-02 eta: 3:37:15 time: 0.3750 data_time: 0.0854 memory: 5713 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0240 loss_cls: 0.1013 acc: 97.5830 loss_bbox: 0.1172 loss_mask: 0.3502 loss: 0.6268 2022/08/26 16:04:20 - mmengine - INFO - Epoch(train) [8][85/125] lr: 8.0000e-02 eta: 3:37:15 time: 0.3572 data_time: 0.0670 memory: 6350 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0297 loss_cls: 0.0976 acc: 95.3369 loss_bbox: 0.1126 loss_mask: 0.3176 loss: 0.5856 2022/08/26 16:04:23 - mmengine - INFO - Epoch(train) [8][90/125] lr: 8.0000e-02 eta: 3:36:12 time: 0.4035 data_time: 0.1043 memory: 6419 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0268 loss_cls: 0.1169 acc: 94.3115 loss_bbox: 0.1260 loss_mask: 0.3003 loss: 0.5932 2022/08/26 16:04:25 - mmengine - INFO - Epoch(train) [8][95/125] lr: 8.0000e-02 eta: 3:36:12 time: 0.4270 data_time: 0.1122 memory: 6508 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0323 loss_cls: 0.1366 acc: 94.8242 loss_bbox: 0.1530 loss_mask: 0.3167 loss: 0.6668 2022/08/26 16:04:26 - mmengine - INFO - Epoch(train) [8][100/125] lr: 8.0000e-02 eta: 3:35:05 time: 0.3730 data_time: 0.0695 memory: 5740 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0359 loss_cls: 0.1271 acc: 95.5811 loss_bbox: 0.1448 loss_mask: 0.3200 loss: 0.6572 2022/08/26 16:04:28 - mmengine - INFO - Epoch(train) [8][105/125] lr: 8.0000e-02 eta: 3:35:05 time: 0.3309 data_time: 0.0642 memory: 5651 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0258 loss_cls: 0.1056 acc: 96.4844 loss_bbox: 0.1078 loss_mask: 0.3116 loss: 0.5774 2022/08/26 16:04:30 - mmengine - INFO - Epoch(train) [8][110/125] lr: 8.0000e-02 eta: 3:34:06 time: 0.4083 data_time: 0.0774 memory: 6063 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0238 loss_cls: 0.1058 acc: 96.5820 loss_bbox: 0.1165 loss_mask: 0.3171 loss: 0.5895 2022/08/26 16:04:32 - mmengine - INFO - Epoch(train) [8][115/125] lr: 8.0000e-02 eta: 3:34:06 time: 0.4160 data_time: 0.0723 memory: 6297 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0238 loss_cls: 0.1052 acc: 97.4365 loss_bbox: 0.1177 loss_mask: 0.3082 loss: 0.5845 2022/08/26 16:04:34 - mmengine - INFO - Epoch(train) [8][120/125] lr: 8.0000e-02 eta: 3:33:02 time: 0.3747 data_time: 0.1007 memory: 5672 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0212 loss_cls: 0.0894 acc: 97.3389 loss_bbox: 0.0942 loss_mask: 0.2985 loss: 0.5336 2022/08/26 16:04:37 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:04:37 - mmengine - INFO - Epoch(train) [8][125/125] lr: 8.0000e-02 eta: 3:33:02 time: 0.4482 data_time: 0.1897 memory: 5633 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0167 loss_cls: 0.0727 acc: 98.0469 loss_bbox: 0.0798 loss_mask: 0.3171 loss: 0.5089 2022/08/26 16:04:40 - mmengine - INFO - Epoch(train) [9][5/125] lr: 8.0000e-02 eta: 3:33:02 time: 0.5514 data_time: 0.2577 memory: 6375 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0185 loss_cls: 0.0829 acc: 96.1182 loss_bbox: 0.0970 loss_mask: 0.3197 loss: 0.5404 2022/08/26 16:04:42 - mmengine - INFO - Epoch(train) [9][10/125] lr: 8.0000e-02 eta: 3:31:19 time: 0.5135 data_time: 0.1870 memory: 5682 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0277 loss_cls: 0.0999 acc: 98.2422 loss_bbox: 0.1081 loss_mask: 0.3183 loss: 0.5899 2022/08/26 16:04:44 - mmengine - INFO - Epoch(train) [9][15/125] lr: 8.0000e-02 eta: 3:31:19 time: 0.4323 data_time: 0.1348 memory: 5879 loss_rpn_cls: 0.0381 loss_rpn_bbox: 0.0266 loss_cls: 0.1045 acc: 96.8506 loss_bbox: 0.1059 loss_mask: 0.3268 loss: 0.6019 2022/08/26 16:04:46 - mmengine - INFO - Epoch(train) [9][20/125] lr: 8.0000e-02 eta: 3:30:26 time: 0.4212 data_time: 0.1445 memory: 6083 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0213 loss_cls: 0.1060 acc: 96.6797 loss_bbox: 0.1178 loss_mask: 0.3280 loss: 0.6049 2022/08/26 16:04:48 - mmengine - INFO - Epoch(train) [9][25/125] lr: 8.0000e-02 eta: 3:30:26 time: 0.3933 data_time: 0.1109 memory: 6201 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0234 loss_cls: 0.1063 acc: 95.8984 loss_bbox: 0.1197 loss_mask: 0.3145 loss: 0.5914 2022/08/26 16:04:50 - mmengine - INFO - Epoch(train) [9][30/125] lr: 8.0000e-02 eta: 3:29:29 time: 0.3870 data_time: 0.0802 memory: 6286 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0237 loss_cls: 0.1133 acc: 96.5820 loss_bbox: 0.1204 loss_mask: 0.3002 loss: 0.5845 2022/08/26 16:04:52 - mmengine - INFO - Epoch(train) [9][35/125] lr: 8.0000e-02 eta: 3:29:29 time: 0.3786 data_time: 0.0665 memory: 6310 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0175 loss_cls: 0.1087 acc: 96.9971 loss_bbox: 0.1183 loss_mask: 0.3054 loss: 0.5756 2022/08/26 16:04:53 - mmengine - INFO - Epoch(train) [9][40/125] lr: 8.0000e-02 eta: 3:28:24 time: 0.3454 data_time: 0.0643 memory: 5749 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0191 loss_cls: 0.0982 acc: 97.9492 loss_bbox: 0.1118 loss_mask: 0.3139 loss: 0.5670 2022/08/26 16:04:55 - mmengine - INFO - Epoch(train) [9][45/125] lr: 8.0000e-02 eta: 3:28:24 time: 0.3364 data_time: 0.0700 memory: 5584 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0179 loss_cls: 0.0951 acc: 96.9971 loss_bbox: 0.1045 loss_mask: 0.3232 loss: 0.5659 2022/08/26 16:04:59 - mmengine - INFO - Epoch(train) [9][50/125] lr: 8.0000e-02 eta: 3:27:59 time: 0.5573 data_time: 0.2408 memory: 6613 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0193 loss_cls: 0.1064 acc: 94.6289 loss_bbox: 0.1185 loss_mask: 0.3270 loss: 0.5988 2022/08/26 16:05:01 - mmengine - INFO - Epoch(train) [9][55/125] lr: 8.0000e-02 eta: 3:27:59 time: 0.5657 data_time: 0.2171 memory: 6666 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0233 loss_cls: 0.1140 acc: 96.2891 loss_bbox: 0.1355 loss_mask: 0.3161 loss: 0.6206 2022/08/26 16:05:03 - mmengine - INFO - Epoch(train) [9][60/125] lr: 8.0000e-02 eta: 3:27:00 time: 0.3671 data_time: 0.0568 memory: 6479 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0236 loss_cls: 0.1162 acc: 95.4346 loss_bbox: 0.1408 loss_mask: 0.2978 loss: 0.6083 2022/08/26 16:05:05 - mmengine - INFO - Epoch(train) [9][65/125] lr: 8.0000e-02 eta: 3:27:00 time: 0.3954 data_time: 0.1013 memory: 6423 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0208 loss_cls: 0.1116 acc: 96.2646 loss_bbox: 0.1331 loss_mask: 0.2940 loss: 0.5848 2022/08/26 16:05:07 - mmengine - INFO - Epoch(train) [9][70/125] lr: 8.0000e-02 eta: 3:26:10 time: 0.4063 data_time: 0.1126 memory: 6274 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0183 loss_cls: 0.1028 acc: 95.7764 loss_bbox: 0.1180 loss_mask: 0.3076 loss: 0.5690 2022/08/26 16:05:09 - mmengine - INFO - Epoch(train) [9][75/125] lr: 8.0000e-02 eta: 3:26:10 time: 0.4286 data_time: 0.1296 memory: 6528 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0213 loss_cls: 0.1015 acc: 98.0713 loss_bbox: 0.1162 loss_mask: 0.3062 loss: 0.5666 2022/08/26 16:05:12 - mmengine - INFO - Epoch(train) [9][80/125] lr: 8.0000e-02 eta: 3:25:33 time: 0.4839 data_time: 0.1395 memory: 6592 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0300 loss_cls: 0.1162 acc: 95.3857 loss_bbox: 0.1340 loss_mask: 0.2959 loss: 0.5975 2022/08/26 16:05:14 - mmengine - INFO - Epoch(train) [9][85/125] lr: 8.0000e-02 eta: 3:25:33 time: 0.4408 data_time: 0.1034 memory: 6289 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0345 loss_cls: 0.1257 acc: 96.5576 loss_bbox: 0.1399 loss_mask: 0.3029 loss: 0.6267 2022/08/26 16:05:15 - mmengine - INFO - Epoch(train) [9][90/125] lr: 8.0000e-02 eta: 3:24:35 time: 0.3508 data_time: 0.0716 memory: 6012 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0246 loss_cls: 0.1032 acc: 97.8760 loss_bbox: 0.1160 loss_mask: 0.3141 loss: 0.5794 2022/08/26 16:05:17 - mmengine - INFO - Epoch(train) [9][95/125] lr: 8.0000e-02 eta: 3:24:35 time: 0.3319 data_time: 0.0680 memory: 5773 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0163 loss_cls: 0.0941 acc: 95.6055 loss_bbox: 0.1095 loss_mask: 0.3219 loss: 0.5600 2022/08/26 16:05:19 - mmengine - INFO - Epoch(train) [9][100/125] lr: 8.0000e-02 eta: 3:23:46 time: 0.4042 data_time: 0.1030 memory: 6487 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0199 loss_cls: 0.1049 acc: 96.1914 loss_bbox: 0.1255 loss_mask: 0.3102 loss: 0.5794 2022/08/26 16:05:21 - mmengine - INFO - Epoch(train) [9][105/125] lr: 8.0000e-02 eta: 3:23:46 time: 0.4378 data_time: 0.1097 memory: 6019 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0232 loss_cls: 0.1062 acc: 97.3633 loss_bbox: 0.1300 loss_mask: 0.2946 loss: 0.5730 2022/08/26 16:05:23 - mmengine - INFO - Epoch(train) [9][110/125] lr: 8.0000e-02 eta: 3:22:53 time: 0.3713 data_time: 0.0800 memory: 5934 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0167 loss_cls: 0.1053 acc: 98.0957 loss_bbox: 0.1196 loss_mask: 0.2955 loss: 0.5593 2022/08/26 16:05:25 - mmengine - INFO - Epoch(train) [9][115/125] lr: 8.0000e-02 eta: 3:22:53 time: 0.3511 data_time: 0.0722 memory: 6213 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0177 loss_cls: 0.1104 acc: 96.5820 loss_bbox: 0.1193 loss_mask: 0.3021 loss: 0.5739 2022/08/26 16:05:26 - mmengine - INFO - Epoch(train) [9][120/125] lr: 8.0000e-02 eta: 3:21:54 time: 0.3360 data_time: 0.0600 memory: 5793 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0207 loss_cls: 0.0995 acc: 95.1904 loss_bbox: 0.1115 loss_mask: 0.2962 loss: 0.5487 2022/08/26 16:05:28 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:05:28 - mmengine - INFO - Epoch(train) [9][125/125] lr: 8.0000e-02 eta: 3:21:54 time: 0.3226 data_time: 0.0472 memory: 6535 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0225 loss_cls: 0.0948 acc: 94.9219 loss_bbox: 0.1156 loss_mask: 0.2921 loss: 0.5468 2022/08/26 16:05:32 - mmengine - INFO - Epoch(train) [10][5/125] lr: 8.0000e-02 eta: 3:21:54 time: 0.5116 data_time: 0.1420 memory: 6451 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0235 loss_cls: 0.0988 acc: 96.7285 loss_bbox: 0.1255 loss_mask: 0.2975 loss: 0.5687 2022/08/26 16:05:34 - mmengine - INFO - Epoch(train) [10][10/125] lr: 8.0000e-02 eta: 3:20:32 time: 0.5232 data_time: 0.1495 memory: 6406 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0247 loss_cls: 0.1008 acc: 96.4844 loss_bbox: 0.1287 loss_mask: 0.2956 loss: 0.5730 2022/08/26 16:05:36 - mmengine - INFO - Epoch(train) [10][15/125] lr: 8.0000e-02 eta: 3:20:32 time: 0.3705 data_time: 0.0886 memory: 5809 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0263 loss_cls: 0.1039 acc: 97.9492 loss_bbox: 0.1232 loss_mask: 0.3133 loss: 0.5961 2022/08/26 16:05:39 - mmengine - INFO - Epoch(train) [10][20/125] lr: 8.0000e-02 eta: 3:20:05 time: 0.5118 data_time: 0.1926 memory: 6499 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0227 loss_cls: 0.1046 acc: 94.0674 loss_bbox: 0.1142 loss_mask: 0.2991 loss: 0.5682 2022/08/26 16:05:41 - mmengine - INFO - Epoch(train) [10][25/125] lr: 8.0000e-02 eta: 3:20:05 time: 0.5502 data_time: 0.1997 memory: 6847 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0204 loss_cls: 0.1232 acc: 95.7275 loss_bbox: 0.1424 loss_mask: 0.3056 loss: 0.6161 2022/08/26 16:05:43 - mmengine - INFO - Epoch(train) [10][30/125] lr: 8.0000e-02 eta: 3:19:18 time: 0.3909 data_time: 0.0945 memory: 5666 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0183 loss_cls: 0.1161 acc: 96.9482 loss_bbox: 0.1340 loss_mask: 0.3237 loss: 0.6150 2022/08/26 16:05:45 - mmengine - INFO - Epoch(train) [10][35/125] lr: 8.0000e-02 eta: 3:19:18 time: 0.3942 data_time: 0.1032 memory: 6746 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0223 loss_cls: 0.1161 acc: 95.1660 loss_bbox: 0.1325 loss_mask: 0.3064 loss: 0.6003 2022/08/26 16:05:47 - mmengine - INFO - Epoch(train) [10][40/125] lr: 8.0000e-02 eta: 3:18:38 time: 0.4234 data_time: 0.1108 memory: 6471 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0262 loss_cls: 0.1295 acc: 95.5811 loss_bbox: 0.1533 loss_mask: 0.3010 loss: 0.6426 2022/08/26 16:05:49 - mmengine - INFO - Epoch(train) [10][45/125] lr: 8.0000e-02 eta: 3:18:38 time: 0.3692 data_time: 0.0799 memory: 5862 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0242 loss_cls: 0.1073 acc: 95.6055 loss_bbox: 0.1292 loss_mask: 0.2915 loss: 0.5830 2022/08/26 16:05:50 - mmengine - INFO - Epoch(train) [10][50/125] lr: 8.0000e-02 eta: 3:17:46 time: 0.3496 data_time: 0.0675 memory: 6492 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0219 loss_cls: 0.0940 acc: 93.8232 loss_bbox: 0.1084 loss_mask: 0.2902 loss: 0.5396 2022/08/26 16:05:52 - mmengine - INFO - Epoch(train) [10][55/125] lr: 8.0000e-02 eta: 3:17:46 time: 0.3826 data_time: 0.1019 memory: 5759 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0215 loss_cls: 0.0977 acc: 96.3135 loss_bbox: 0.1058 loss_mask: 0.2967 loss: 0.5461 2022/08/26 16:05:54 - mmengine - INFO - Epoch(train) [10][60/125] lr: 8.0000e-02 eta: 3:16:57 time: 0.3599 data_time: 0.0925 memory: 5918 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0202 loss_cls: 0.0942 acc: 95.1904 loss_bbox: 0.1061 loss_mask: 0.2953 loss: 0.5372 2022/08/26 16:05:56 - mmengine - INFO - Epoch(train) [10][65/125] lr: 8.0000e-02 eta: 3:16:57 time: 0.3587 data_time: 0.0693 memory: 6940 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0250 loss_cls: 0.1060 acc: 96.2646 loss_bbox: 0.1254 loss_mask: 0.2852 loss: 0.5645 2022/08/26 16:05:58 - mmengine - INFO - Epoch(train) [10][70/125] lr: 8.0000e-02 eta: 3:16:09 time: 0.3670 data_time: 0.0794 memory: 5627 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0242 loss_cls: 0.1108 acc: 96.0449 loss_bbox: 0.1259 loss_mask: 0.3046 loss: 0.5903 2022/08/26 16:06:01 - mmengine - INFO - Epoch(train) [10][75/125] lr: 8.0000e-02 eta: 3:16:09 time: 0.4488 data_time: 0.1236 memory: 6362 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0161 loss_cls: 0.0990 acc: 97.7295 loss_bbox: 0.1065 loss_mask: 0.3128 loss: 0.5567 2022/08/26 16:06:03 - mmengine - INFO - Epoch(train) [10][80/125] lr: 8.0000e-02 eta: 3:15:46 time: 0.5165 data_time: 0.1611 memory: 6952 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0189 loss_cls: 0.1090 acc: 94.3115 loss_bbox: 0.1289 loss_mask: 0.2939 loss: 0.5708 2022/08/26 16:06:05 - mmengine - INFO - Epoch(train) [10][85/125] lr: 8.0000e-02 eta: 3:15:46 time: 0.3949 data_time: 0.0979 memory: 5802 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0191 loss_cls: 0.1090 acc: 97.0703 loss_bbox: 0.1295 loss_mask: 0.3162 loss: 0.5936 2022/08/26 16:06:07 - mmengine - INFO - Epoch(train) [10][90/125] lr: 8.0000e-02 eta: 3:15:01 time: 0.3742 data_time: 0.0975 memory: 6343 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0143 loss_cls: 0.1028 acc: 98.0225 loss_bbox: 0.1137 loss_mask: 0.3333 loss: 0.5837 2022/08/26 16:06:08 - mmengine - INFO - Epoch(train) [10][95/125] lr: 8.0000e-02 eta: 3:15:01 time: 0.3737 data_time: 0.0990 memory: 5980 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0134 loss_cls: 0.1045 acc: 97.2412 loss_bbox: 0.1207 loss_mask: 0.3069 loss: 0.5644 2022/08/26 16:06:10 - mmengine - INFO - Epoch(train) [10][100/125] lr: 8.0000e-02 eta: 3:14:11 time: 0.3404 data_time: 0.0553 memory: 6448 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0188 loss_cls: 0.1072 acc: 97.3145 loss_bbox: 0.1255 loss_mask: 0.2918 loss: 0.5634 2022/08/26 16:06:12 - mmengine - INFO - Epoch(train) [10][105/125] lr: 8.0000e-02 eta: 3:14:11 time: 0.3507 data_time: 0.0512 memory: 6645 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0228 loss_cls: 0.1263 acc: 94.6045 loss_bbox: 0.1515 loss_mask: 0.3073 loss: 0.6323 2022/08/26 16:06:14 - mmengine - INFO - Epoch(train) [10][110/125] lr: 8.0000e-02 eta: 3:13:31 time: 0.3973 data_time: 0.1065 memory: 6382 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0183 loss_cls: 0.1311 acc: 97.6318 loss_bbox: 0.1526 loss_mask: 0.3067 loss: 0.6326 2022/08/26 16:06:16 - mmengine - INFO - Epoch(train) [10][115/125] lr: 8.0000e-02 eta: 3:13:31 time: 0.4109 data_time: 0.1229 memory: 6495 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0178 loss_cls: 0.1107 acc: 96.6797 loss_bbox: 0.1285 loss_mask: 0.2918 loss: 0.5705 2022/08/26 16:06:17 - mmengine - INFO - Epoch(train) [10][120/125] lr: 8.0000e-02 eta: 3:12:43 time: 0.3425 data_time: 0.0619 memory: 5896 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0223 loss_cls: 0.1026 acc: 96.7041 loss_bbox: 0.1260 loss_mask: 0.2789 loss: 0.5505 2022/08/26 16:06:20 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:06:20 - mmengine - INFO - Epoch(train) [10][125/125] lr: 8.0000e-02 eta: 3:12:43 time: 0.4540 data_time: 0.0395 memory: 5696 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0185 loss_cls: 0.0915 acc: 98.5840 loss_bbox: 0.1026 loss_mask: 0.3101 loss: 0.5445 2022/08/26 16:06:24 - mmengine - INFO - Epoch(train) [11][5/125] lr: 8.0000e-02 eta: 3:12:43 time: 0.6526 data_time: 0.2183 memory: 6565 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0200 loss_cls: 0.0977 acc: 94.9707 loss_bbox: 0.1169 loss_mask: 0.3261 loss: 0.5843 2022/08/26 16:06:26 - mmengine - INFO - Epoch(train) [11][10/125] lr: 8.0000e-02 eta: 3:11:36 time: 0.5323 data_time: 0.2457 memory: 5776 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0208 loss_cls: 0.1059 acc: 97.6807 loss_bbox: 0.1310 loss_mask: 0.3030 loss: 0.5826 2022/08/26 16:06:28 - mmengine - INFO - Epoch(train) [11][15/125] lr: 8.0000e-02 eta: 3:11:36 time: 0.3715 data_time: 0.0909 memory: 6520 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0195 loss_cls: 0.1094 acc: 95.6055 loss_bbox: 0.1328 loss_mask: 0.3142 loss: 0.5973 2022/08/26 16:06:30 - mmengine - INFO - Epoch(train) [11][20/125] lr: 8.0000e-02 eta: 3:10:56 time: 0.3860 data_time: 0.0865 memory: 6751 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0184 loss_cls: 0.1143 acc: 96.2891 loss_bbox: 0.1489 loss_mask: 0.3014 loss: 0.6027 2022/08/26 16:06:32 - mmengine - INFO - Epoch(train) [11][25/125] lr: 8.0000e-02 eta: 3:10:56 time: 0.3719 data_time: 0.0715 memory: 6415 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0160 loss_cls: 0.1050 acc: 96.7529 loss_bbox: 0.1284 loss_mask: 0.2808 loss: 0.5517 2022/08/26 16:06:33 - mmengine - INFO - Epoch(train) [11][30/125] lr: 8.0000e-02 eta: 3:10:13 time: 0.3593 data_time: 0.0675 memory: 6358 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0187 loss_cls: 0.1015 acc: 96.5820 loss_bbox: 0.1131 loss_mask: 0.2864 loss: 0.5447 2022/08/26 16:06:36 - mmengine - INFO - Epoch(train) [11][35/125] lr: 8.0000e-02 eta: 3:10:13 time: 0.4207 data_time: 0.1322 memory: 6402 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0239 loss_cls: 0.1055 acc: 97.5342 loss_bbox: 0.1152 loss_mask: 0.2897 loss: 0.5602 2022/08/26 16:06:38 - mmengine - INFO - Epoch(train) [11][40/125] lr: 8.0000e-02 eta: 3:09:48 time: 0.4759 data_time: 0.1587 memory: 6641 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0280 loss_cls: 0.1234 acc: 93.5303 loss_bbox: 0.1425 loss_mask: 0.2906 loss: 0.6095 2022/08/26 16:06:41 - mmengine - INFO - Epoch(train) [11][45/125] lr: 8.0000e-02 eta: 3:09:48 time: 0.4944 data_time: 0.1094 memory: 6629 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0246 loss_cls: 0.1307 acc: 95.8496 loss_bbox: 0.1624 loss_mask: 0.3071 loss: 0.6475 2022/08/26 16:06:42 - mmengine - INFO - Epoch(train) [11][50/125] lr: 8.0000e-02 eta: 3:09:16 time: 0.4308 data_time: 0.0859 memory: 5848 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0182 loss_cls: 0.1140 acc: 96.4111 loss_bbox: 0.1375 loss_mask: 0.3072 loss: 0.6008 2022/08/26 16:06:44 - mmengine - INFO - Epoch(train) [11][55/125] lr: 8.0000e-02 eta: 3:09:16 time: 0.3542 data_time: 0.0926 memory: 5727 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0177 loss_cls: 0.0973 acc: 96.7285 loss_bbox: 0.1144 loss_mask: 0.2926 loss: 0.5431 2022/08/26 16:06:46 - mmengine - INFO - Epoch(train) [11][60/125] lr: 8.0000e-02 eta: 3:08:36 time: 0.3704 data_time: 0.1077 memory: 5731 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0202 loss_cls: 0.0967 acc: 96.5576 loss_bbox: 0.1136 loss_mask: 0.3090 loss: 0.5568 2022/08/26 16:06:48 - mmengine - INFO - Epoch(train) [11][65/125] lr: 8.0000e-02 eta: 3:08:36 time: 0.3834 data_time: 0.1211 memory: 5820 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0191 loss_cls: 0.1057 acc: 96.5088 loss_bbox: 0.1153 loss_mask: 0.3411 loss: 0.6020 2022/08/26 16:06:50 - mmengine - INFO - Epoch(train) [11][70/125] lr: 8.0000e-02 eta: 3:07:56 time: 0.3685 data_time: 0.1006 memory: 6197 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0202 loss_cls: 0.1150 acc: 94.9463 loss_bbox: 0.1278 loss_mask: 0.3349 loss: 0.6198 2022/08/26 16:06:52 - mmengine - INFO - Epoch(train) [11][75/125] lr: 8.0000e-02 eta: 3:07:56 time: 0.3466 data_time: 0.0747 memory: 5979 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0203 loss_cls: 0.1108 acc: 96.4600 loss_bbox: 0.1332 loss_mask: 0.2956 loss: 0.5798 2022/08/26 16:06:53 - mmengine - INFO - Epoch(train) [11][80/125] lr: 8.0000e-02 eta: 3:07:11 time: 0.3234 data_time: 0.0576 memory: 5646 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0152 loss_cls: 0.0962 acc: 97.7783 loss_bbox: 0.1118 loss_mask: 0.3010 loss: 0.5411 2022/08/26 16:06:55 - mmengine - INFO - Epoch(train) [11][85/125] lr: 8.0000e-02 eta: 3:07:11 time: 0.3433 data_time: 0.0754 memory: 5969 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0148 loss_cls: 0.1003 acc: 97.1924 loss_bbox: 0.1163 loss_mask: 0.3270 loss: 0.5750 2022/08/26 16:06:57 - mmengine - INFO - Epoch(train) [11][90/125] lr: 8.0000e-02 eta: 3:06:42 time: 0.4332 data_time: 0.1635 memory: 6019 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0201 loss_cls: 0.1112 acc: 96.3379 loss_bbox: 0.1376 loss_mask: 0.3398 loss: 0.6306 2022/08/26 16:07:00 - mmengine - INFO - Epoch(train) [11][95/125] lr: 8.0000e-02 eta: 3:06:42 time: 0.5140 data_time: 0.1673 memory: 6681 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0187 loss_cls: 0.1090 acc: 96.2402 loss_bbox: 0.1379 loss_mask: 0.3198 loss: 0.6070 2022/08/26 16:07:02 - mmengine - INFO - Epoch(train) [11][100/125] lr: 8.0000e-02 eta: 3:06:14 time: 0.4469 data_time: 0.0943 memory: 5928 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0183 loss_cls: 0.1195 acc: 95.6055 loss_bbox: 0.1471 loss_mask: 0.3006 loss: 0.6063 2022/08/26 16:07:04 - mmengine - INFO - Epoch(train) [11][105/125] lr: 8.0000e-02 eta: 3:06:14 time: 0.3471 data_time: 0.0751 memory: 5851 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0172 loss_cls: 0.1175 acc: 96.1670 loss_bbox: 0.1406 loss_mask: 0.3203 loss: 0.6141 2022/08/26 16:07:06 - mmengine - INFO - Epoch(train) [11][110/125] lr: 8.0000e-02 eta: 3:05:39 time: 0.3875 data_time: 0.0938 memory: 6697 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0236 loss_cls: 0.1065 acc: 94.6289 loss_bbox: 0.1346 loss_mask: 0.3099 loss: 0.5954 2022/08/26 16:07:08 - mmengine - INFO - Epoch(train) [11][115/125] lr: 8.0000e-02 eta: 3:05:39 time: 0.4000 data_time: 0.0962 memory: 6907 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0273 loss_cls: 0.1060 acc: 96.5332 loss_bbox: 0.1277 loss_mask: 0.2904 loss: 0.5751 2022/08/26 16:07:10 - mmengine - INFO - Epoch(train) [11][120/125] lr: 8.0000e-02 eta: 3:05:05 time: 0.3889 data_time: 0.1028 memory: 6577 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0193 loss_cls: 0.1062 acc: 96.5088 loss_bbox: 0.1181 loss_mask: 0.2934 loss: 0.5544 2022/08/26 16:07:12 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:07:12 - mmengine - INFO - Epoch(train) [11][125/125] lr: 8.0000e-02 eta: 3:05:05 time: 0.4530 data_time: 0.1272 memory: 6705 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0211 loss_cls: 0.1213 acc: 95.4102 loss_bbox: 0.1421 loss_mask: 0.2999 loss: 0.6118 2022/08/26 16:07:15 - mmengine - INFO - Epoch(train) [12][5/125] lr: 8.0000e-02 eta: 3:05:05 time: 0.5118 data_time: 0.1637 memory: 6886 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0240 loss_cls: 0.1325 acc: 93.8477 loss_bbox: 0.1678 loss_mask: 0.2952 loss: 0.6518 2022/08/26 16:07:17 - mmengine - INFO - Epoch(train) [12][10/125] lr: 8.0000e-02 eta: 3:03:57 time: 0.4553 data_time: 0.1430 memory: 6353 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0216 loss_cls: 0.1246 acc: 96.0449 loss_bbox: 0.1540 loss_mask: 0.2981 loss: 0.6223 2022/08/26 16:07:19 - mmengine - INFO - Epoch(train) [12][15/125] lr: 8.0000e-02 eta: 3:03:57 time: 0.3684 data_time: 0.0760 memory: 6225 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0197 loss_cls: 0.1145 acc: 95.4590 loss_bbox: 0.1408 loss_mask: 0.2974 loss: 0.5953 2022/08/26 16:07:21 - mmengine - INFO - Epoch(train) [12][20/125] lr: 8.0000e-02 eta: 3:03:27 time: 0.4148 data_time: 0.1056 memory: 6569 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0186 loss_cls: 0.1092 acc: 97.2656 loss_bbox: 0.1433 loss_mask: 0.2811 loss: 0.5728 2022/08/26 16:07:23 - mmengine - INFO - Epoch(train) [12][25/125] lr: 8.0000e-02 eta: 3:03:27 time: 0.4210 data_time: 0.1277 memory: 5872 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0180 loss_cls: 0.1064 acc: 97.5586 loss_bbox: 0.1239 loss_mask: 0.2769 loss: 0.5522 2022/08/26 16:07:24 - mmengine - INFO - Epoch(train) [12][30/125] lr: 8.0000e-02 eta: 3:02:49 time: 0.3496 data_time: 0.0883 memory: 5884 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0163 loss_cls: 0.1104 acc: 96.6064 loss_bbox: 0.1237 loss_mask: 0.2814 loss: 0.5597 2022/08/26 16:07:26 - mmengine - INFO - Epoch(train) [12][35/125] lr: 8.0000e-02 eta: 3:02:49 time: 0.3369 data_time: 0.0738 memory: 6075 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0147 loss_cls: 0.1107 acc: 95.0439 loss_bbox: 0.1339 loss_mask: 0.2911 loss: 0.5700 2022/08/26 16:07:28 - mmengine - INFO - Epoch(train) [12][40/125] lr: 8.0000e-02 eta: 3:02:12 time: 0.3471 data_time: 0.0744 memory: 6394 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0158 loss_cls: 0.1070 acc: 96.5332 loss_bbox: 0.1358 loss_mask: 0.2912 loss: 0.5693 2022/08/26 16:07:30 - mmengine - INFO - Epoch(train) [12][45/125] lr: 8.0000e-02 eta: 3:02:12 time: 0.3720 data_time: 0.0706 memory: 5958 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0185 loss_cls: 0.1124 acc: 95.6299 loss_bbox: 0.1389 loss_mask: 0.2890 loss: 0.5793 2022/08/26 16:07:32 - mmengine - INFO - Epoch(train) [12][50/125] lr: 8.0000e-02 eta: 3:01:41 time: 0.3955 data_time: 0.0875 memory: 6608 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0230 loss_cls: 0.1208 acc: 95.8496 loss_bbox: 0.1463 loss_mask: 0.2886 loss: 0.5979 2022/08/26 16:07:34 - mmengine - INFO - Epoch(train) [12][55/125] lr: 8.0000e-02 eta: 3:01:41 time: 0.3931 data_time: 0.0953 memory: 6874 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0215 loss_cls: 0.1113 acc: 98.1689 loss_bbox: 0.1408 loss_mask: 0.2725 loss: 0.5658 2022/08/26 16:07:36 - mmengine - INFO - Epoch(train) [12][60/125] lr: 8.0000e-02 eta: 3:01:07 time: 0.3729 data_time: 0.0780 memory: 6560 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0229 loss_cls: 0.1047 acc: 97.4854 loss_bbox: 0.1259 loss_mask: 0.2744 loss: 0.5504 2022/08/26 16:07:37 - mmengine - INFO - Epoch(train) [12][65/125] lr: 8.0000e-02 eta: 3:01:07 time: 0.3648 data_time: 0.0811 memory: 6091 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0226 loss_cls: 0.1143 acc: 98.1934 loss_bbox: 0.1298 loss_mask: 0.2833 loss: 0.5748 2022/08/26 16:07:39 - mmengine - INFO - Epoch(train) [12][70/125] lr: 8.0000e-02 eta: 3:00:31 time: 0.3463 data_time: 0.0643 memory: 6757 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0168 loss_cls: 0.1056 acc: 98.1445 loss_bbox: 0.1254 loss_mask: 0.2808 loss: 0.5499 2022/08/26 16:07:41 - mmengine - INFO - Epoch(train) [12][75/125] lr: 8.0000e-02 eta: 3:00:31 time: 0.3556 data_time: 0.0610 memory: 6718 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0185 loss_cls: 0.1093 acc: 96.1670 loss_bbox: 0.1381 loss_mask: 0.2879 loss: 0.5735 2022/08/26 16:07:43 - mmengine - INFO - Epoch(train) [12][80/125] lr: 8.0000e-02 eta: 2:59:58 time: 0.3714 data_time: 0.0886 memory: 6177 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0172 loss_cls: 0.1134 acc: 93.7988 loss_bbox: 0.1432 loss_mask: 0.2782 loss: 0.5718 2022/08/26 16:07:45 - mmengine - INFO - Epoch(train) [12][85/125] lr: 8.0000e-02 eta: 2:59:58 time: 0.4115 data_time: 0.1418 memory: 5957 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0206 loss_cls: 0.1190 acc: 93.9941 loss_bbox: 0.1389 loss_mask: 0.2805 loss: 0.5784 2022/08/26 16:07:48 - mmengine - INFO - Epoch(train) [12][90/125] lr: 8.0000e-02 eta: 2:59:48 time: 0.5486 data_time: 0.1665 memory: 6268 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0270 loss_cls: 0.1220 acc: 95.4590 loss_bbox: 0.1417 loss_mask: 0.2858 loss: 0.5979 2022/08/26 16:07:50 - mmengine - INFO - Epoch(train) [12][95/125] lr: 8.0000e-02 eta: 2:59:48 time: 0.4862 data_time: 0.0929 memory: 6580 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0221 loss_cls: 0.1057 acc: 96.1426 loss_bbox: 0.1283 loss_mask: 0.2862 loss: 0.5633 2022/08/26 16:07:52 - mmengine - INFO - Epoch(train) [12][100/125] lr: 8.0000e-02 eta: 2:59:13 time: 0.3522 data_time: 0.0553 memory: 6673 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0170 loss_cls: 0.1113 acc: 96.1670 loss_bbox: 0.1320 loss_mask: 0.3271 loss: 0.6083 2022/08/26 16:07:54 - mmengine - INFO - Epoch(train) [12][105/125] lr: 8.0000e-02 eta: 2:59:13 time: 0.4106 data_time: 0.1317 memory: 5789 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0154 loss_cls: 0.1095 acc: 97.0947 loss_bbox: 0.1282 loss_mask: 0.3518 loss: 0.6245 2022/08/26 16:07:56 - mmengine - INFO - Epoch(train) [12][110/125] lr: 8.0000e-02 eta: 2:58:48 time: 0.4260 data_time: 0.1363 memory: 6802 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0165 loss_cls: 0.1077 acc: 98.2178 loss_bbox: 0.1337 loss_mask: 0.3318 loss: 0.6120 2022/08/26 16:07:58 - mmengine - INFO - Epoch(train) [12][115/125] lr: 8.0000e-02 eta: 2:58:48 time: 0.4116 data_time: 0.1182 memory: 6160 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0216 loss_cls: 0.1190 acc: 96.1670 loss_bbox: 0.1527 loss_mask: 0.3150 loss: 0.6330 2022/08/26 16:08:01 - mmengine - INFO - Epoch(train) [12][120/125] lr: 8.0000e-02 eta: 2:58:31 time: 0.4866 data_time: 0.1651 memory: 6782 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0237 loss_cls: 0.1262 acc: 94.9707 loss_bbox: 0.1554 loss_mask: 0.3075 loss: 0.6342 2022/08/26 16:08:02 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:08:03 - mmengine - INFO - Epoch(train) [12][125/125] lr: 8.0000e-02 eta: 2:58:31 time: 0.4326 data_time: 0.1173 memory: 5793 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0178 loss_cls: 0.1150 acc: 97.5830 loss_bbox: 0.1350 loss_mask: 0.3323 loss: 0.6200 2022/08/26 16:08:07 - mmengine - INFO - Epoch(train) [13][5/125] lr: 8.0000e-02 eta: 2:58:31 time: 0.5766 data_time: 0.2537 memory: 6996 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0197 loss_cls: 0.1156 acc: 95.8984 loss_bbox: 0.1473 loss_mask: 0.3492 loss: 0.6545 2022/08/26 16:08:09 - mmengine - INFO - Epoch(train) [13][10/125] lr: 8.0000e-02 eta: 2:57:47 time: 0.5859 data_time: 0.2540 memory: 5825 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0206 loss_cls: 0.1139 acc: 96.8262 loss_bbox: 0.1512 loss_mask: 0.3316 loss: 0.6386 2022/08/26 16:08:11 - mmengine - INFO - Epoch(train) [13][15/125] lr: 8.0000e-02 eta: 2:57:47 time: 0.4269 data_time: 0.1192 memory: 6945 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0189 loss_cls: 0.1096 acc: 93.2861 loss_bbox: 0.1429 loss_mask: 0.3250 loss: 0.6151 2022/08/26 16:08:13 - mmengine - INFO - Epoch(train) [13][20/125] lr: 8.0000e-02 eta: 2:57:23 time: 0.4280 data_time: 0.1182 memory: 5957 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0193 loss_cls: 0.1102 acc: 97.2168 loss_bbox: 0.1422 loss_mask: 0.2932 loss: 0.5831 2022/08/26 16:08:15 - mmengine - INFO - Epoch(train) [13][25/125] lr: 8.0000e-02 eta: 2:57:23 time: 0.3762 data_time: 0.1049 memory: 5981 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0167 loss_cls: 0.0983 acc: 96.6064 loss_bbox: 0.1177 loss_mask: 0.2726 loss: 0.5224 2022/08/26 16:08:17 - mmengine - INFO - Epoch(train) [13][30/125] lr: 8.0000e-02 eta: 2:56:55 time: 0.3856 data_time: 0.1070 memory: 6512 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0165 loss_cls: 0.1065 acc: 95.1904 loss_bbox: 0.1281 loss_mask: 0.2763 loss: 0.5448 2022/08/26 16:08:20 - mmengine - INFO - Epoch(train) [13][35/125] lr: 8.0000e-02 eta: 2:56:55 time: 0.4737 data_time: 0.1021 memory: 6726 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0152 loss_cls: 0.1229 acc: 94.8242 loss_bbox: 0.1562 loss_mask: 0.2763 loss: 0.5893 2022/08/26 16:08:21 - mmengine - INFO - Epoch(train) [13][40/125] lr: 8.0000e-02 eta: 2:56:35 time: 0.4624 data_time: 0.1071 memory: 5773 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0166 loss_cls: 0.1323 acc: 95.5811 loss_bbox: 0.1446 loss_mask: 0.2957 loss: 0.6127 2022/08/26 16:08:23 - mmengine - INFO - Epoch(train) [13][45/125] lr: 8.0000e-02 eta: 2:56:35 time: 0.3489 data_time: 0.0866 memory: 5793 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0174 loss_cls: 0.1296 acc: 96.2646 loss_bbox: 0.1206 loss_mask: 0.3223 loss: 0.6153 2022/08/26 16:08:26 - mmengine - INFO - Epoch(train) [13][50/125] lr: 8.0000e-02 eta: 2:56:18 time: 0.4733 data_time: 0.1183 memory: 6701 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0241 loss_cls: 0.1296 acc: 95.2148 loss_bbox: 0.1414 loss_mask: 0.3122 loss: 0.6324 2022/08/26 16:08:28 - mmengine - INFO - Epoch(train) [13][55/125] lr: 8.0000e-02 eta: 2:56:18 time: 0.4823 data_time: 0.1141 memory: 6621 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0224 loss_cls: 0.1236 acc: 95.9717 loss_bbox: 0.1483 loss_mask: 0.2911 loss: 0.6055 2022/08/26 16:08:30 - mmengine - INFO - Epoch(train) [13][60/125] lr: 8.0000e-02 eta: 2:55:47 time: 0.3624 data_time: 0.0795 memory: 5885 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0150 loss_cls: 0.1092 acc: 96.7041 loss_bbox: 0.1325 loss_mask: 0.2974 loss: 0.5688 2022/08/26 16:08:32 - mmengine - INFO - Epoch(train) [13][65/125] lr: 8.0000e-02 eta: 2:55:47 time: 0.4365 data_time: 0.1640 memory: 6022 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0153 loss_cls: 0.1002 acc: 97.1191 loss_bbox: 0.1188 loss_mask: 0.3063 loss: 0.5586 2022/08/26 16:08:35 - mmengine - INFO - Epoch(train) [13][70/125] lr: 8.0000e-02 eta: 2:55:34 time: 0.5131 data_time: 0.2026 memory: 5855 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0182 loss_cls: 0.1031 acc: 97.4609 loss_bbox: 0.1212 loss_mask: 0.2890 loss: 0.5517 2022/08/26 16:08:37 - mmengine - INFO - Epoch(train) [13][75/125] lr: 8.0000e-02 eta: 2:55:34 time: 0.4784 data_time: 0.1395 memory: 6653 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0181 loss_cls: 0.1095 acc: 94.1650 loss_bbox: 0.1299 loss_mask: 0.2735 loss: 0.5491 2022/08/26 16:08:39 - mmengine - INFO - Epoch(train) [13][80/125] lr: 8.0000e-02 eta: 2:55:10 time: 0.4142 data_time: 0.1096 memory: 6204 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0131 loss_cls: 0.1093 acc: 96.9727 loss_bbox: 0.1338 loss_mask: 0.2734 loss: 0.5474 2022/08/26 16:08:41 - mmengine - INFO - Epoch(train) [13][85/125] lr: 8.0000e-02 eta: 2:55:10 time: 0.3461 data_time: 0.0705 memory: 6098 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0158 loss_cls: 0.1122 acc: 94.6045 loss_bbox: 0.1379 loss_mask: 0.2799 loss: 0.5666 2022/08/26 16:08:43 - mmengine - INFO - Epoch(train) [13][90/125] lr: 8.0000e-02 eta: 2:54:44 time: 0.3921 data_time: 0.0942 memory: 7175 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0248 loss_cls: 0.1186 acc: 95.8740 loss_bbox: 0.1466 loss_mask: 0.2945 loss: 0.6067 2022/08/26 16:08:45 - mmengine - INFO - Epoch(train) [13][95/125] lr: 8.0000e-02 eta: 2:54:44 time: 0.4274 data_time: 0.1285 memory: 6074 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0236 loss_cls: 0.1147 acc: 96.3379 loss_bbox: 0.1451 loss_mask: 0.3031 loss: 0.6058 2022/08/26 16:08:47 - mmengine - INFO - Epoch(train) [13][100/125] lr: 8.0000e-02 eta: 2:54:19 time: 0.4022 data_time: 0.1114 memory: 6835 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0243 loss_cls: 0.1276 acc: 95.6543 loss_bbox: 0.1630 loss_mask: 0.3033 loss: 0.6382 2022/08/26 16:08:49 - mmengine - INFO - Epoch(train) [13][105/125] lr: 8.0000e-02 eta: 2:54:19 time: 0.3958 data_time: 0.0763 memory: 6685 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0253 loss_cls: 0.1312 acc: 97.2412 loss_bbox: 0.1683 loss_mask: 0.3079 loss: 0.6531 2022/08/26 16:08:51 - mmengine - INFO - Epoch(train) [13][110/125] lr: 8.0000e-02 eta: 2:53:54 time: 0.4006 data_time: 0.0745 memory: 7231 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0180 loss_cls: 0.1230 acc: 95.9717 loss_bbox: 0.1520 loss_mask: 0.3034 loss: 0.6191 2022/08/26 16:08:53 - mmengine - INFO - Epoch(train) [13][115/125] lr: 8.0000e-02 eta: 2:53:54 time: 0.3743 data_time: 0.0774 memory: 6229 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0203 loss_cls: 0.1331 acc: 96.2891 loss_bbox: 0.1544 loss_mask: 0.2915 loss: 0.6224 2022/08/26 16:08:54 - mmengine - INFO - Epoch(train) [13][120/125] lr: 8.0000e-02 eta: 2:53:21 time: 0.3278 data_time: 0.0573 memory: 6164 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0218 loss_cls: 0.1212 acc: 95.3857 loss_bbox: 0.1453 loss_mask: 0.2891 loss: 0.5946 2022/08/26 16:08:57 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:08:57 - mmengine - INFO - Epoch(train) [13][125/125] lr: 8.0000e-02 eta: 2:53:21 time: 0.4642 data_time: 0.1968 memory: 5933 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0194 loss_cls: 0.1090 acc: 96.1182 loss_bbox: 0.1284 loss_mask: 0.2837 loss: 0.5568 2022/08/26 16:09:01 - mmengine - INFO - Epoch(train) [14][5/125] lr: 8.0000e-02 eta: 2:53:21 time: 0.6282 data_time: 0.3265 memory: 6532 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0204 loss_cls: 0.1241 acc: 93.6279 loss_bbox: 0.1376 loss_mask: 0.2868 loss: 0.5873 2022/08/26 16:09:03 - mmengine - INFO - Epoch(train) [14][10/125] lr: 8.0000e-02 eta: 2:52:35 time: 0.5149 data_time: 0.1840 memory: 6677 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0200 loss_cls: 0.1325 acc: 93.3838 loss_bbox: 0.1629 loss_mask: 0.2787 loss: 0.6130 2022/08/26 16:09:04 - mmengine - INFO - Epoch(train) [14][15/125] lr: 8.0000e-02 eta: 2:52:35 time: 0.3430 data_time: 0.0477 memory: 5983 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0176 loss_cls: 0.1246 acc: 95.8740 loss_bbox: 0.1551 loss_mask: 0.2745 loss: 0.5893 2022/08/26 16:09:07 - mmengine - INFO - Epoch(train) [14][20/125] lr: 8.0000e-02 eta: 2:52:17 time: 0.4488 data_time: 0.1149 memory: 5954 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0153 loss_cls: 0.1202 acc: 97.1191 loss_bbox: 0.1416 loss_mask: 0.2898 loss: 0.5830 2022/08/26 16:09:10 - mmengine - INFO - Epoch(train) [14][25/125] lr: 8.0000e-02 eta: 2:52:17 time: 0.5150 data_time: 0.1471 memory: 6113 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0153 loss_cls: 0.1208 acc: 95.4834 loss_bbox: 0.1427 loss_mask: 0.2978 loss: 0.5920 2022/08/26 16:09:12 - mmengine - INFO - Epoch(train) [14][30/125] lr: 8.0000e-02 eta: 2:52:00 time: 0.4627 data_time: 0.1200 memory: 7013 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0191 loss_cls: 0.1331 acc: 94.6289 loss_bbox: 0.1644 loss_mask: 0.3068 loss: 0.6459 2022/08/26 16:09:14 - mmengine - INFO - Epoch(train) [14][35/125] lr: 8.0000e-02 eta: 2:52:00 time: 0.4396 data_time: 0.1303 memory: 6402 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0271 loss_cls: 0.1364 acc: 96.7041 loss_bbox: 0.1727 loss_mask: 0.2860 loss: 0.6533 2022/08/26 16:09:17 - mmengine - INFO - Epoch(train) [14][40/125] lr: 8.0000e-02 eta: 2:51:46 time: 0.4815 data_time: 0.1952 memory: 6661 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0296 loss_cls: 0.1208 acc: 96.4600 loss_bbox: 0.1546 loss_mask: 0.2788 loss: 0.6134 2022/08/26 16:09:18 - mmengine - INFO - Epoch(train) [14][45/125] lr: 8.0000e-02 eta: 2:51:46 time: 0.4492 data_time: 0.1626 memory: 6019 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0246 loss_cls: 0.1076 acc: 94.3115 loss_bbox: 0.1338 loss_mask: 0.2740 loss: 0.5649 2022/08/26 16:09:21 - mmengine - INFO - Epoch(train) [14][50/125] lr: 8.0000e-02 eta: 2:51:20 time: 0.3824 data_time: 0.0784 memory: 5914 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0193 loss_cls: 0.1085 acc: 96.1426 loss_bbox: 0.1317 loss_mask: 0.2538 loss: 0.5314 2022/08/26 16:09:23 - mmengine - INFO - Epoch(train) [14][55/125] lr: 8.0000e-02 eta: 2:51:20 time: 0.4124 data_time: 0.1044 memory: 6200 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0153 loss_cls: 0.1102 acc: 98.1934 loss_bbox: 0.1392 loss_mask: 0.2848 loss: 0.5639 2022/08/26 16:09:24 - mmengine - INFO - Epoch(train) [14][60/125] lr: 8.0000e-02 eta: 2:50:54 time: 0.3686 data_time: 0.0912 memory: 6009 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0146 loss_cls: 0.1070 acc: 96.1670 loss_bbox: 0.1356 loss_mask: 0.3180 loss: 0.5923 2022/08/26 16:09:26 - mmengine - INFO - Epoch(train) [14][65/125] lr: 8.0000e-02 eta: 2:50:54 time: 0.3331 data_time: 0.0568 memory: 6051 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0155 loss_cls: 0.1048 acc: 95.5078 loss_bbox: 0.1329 loss_mask: 0.3115 loss: 0.5888 2022/08/26 16:09:28 - mmengine - INFO - Epoch(train) [14][70/125] lr: 8.0000e-02 eta: 2:50:25 time: 0.3430 data_time: 0.0485 memory: 6617 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0142 loss_cls: 0.1019 acc: 96.7529 loss_bbox: 0.1246 loss_mask: 0.2928 loss: 0.5540 2022/08/26 16:09:30 - mmengine - INFO - Epoch(train) [14][75/125] lr: 8.0000e-02 eta: 2:50:25 time: 0.3653 data_time: 0.0730 memory: 5766 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0099 loss_cls: 0.0976 acc: 96.8262 loss_bbox: 0.1142 loss_mask: 0.2875 loss: 0.5222 2022/08/26 16:09:32 - mmengine - INFO - Epoch(train) [14][80/125] lr: 8.0000e-02 eta: 2:50:03 time: 0.4093 data_time: 0.1232 memory: 6843 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0110 loss_cls: 0.1094 acc: 96.8262 loss_bbox: 0.1339 loss_mask: 0.2972 loss: 0.5678 2022/08/26 16:09:34 - mmengine - INFO - Epoch(train) [14][85/125] lr: 8.0000e-02 eta: 2:50:03 time: 0.4149 data_time: 0.1327 memory: 5831 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0153 loss_cls: 0.1137 acc: 96.1670 loss_bbox: 0.1347 loss_mask: 0.3007 loss: 0.5861 2022/08/26 16:09:36 - mmengine - INFO - Epoch(train) [14][90/125] lr: 8.0000e-02 eta: 2:49:39 time: 0.3829 data_time: 0.1017 memory: 6584 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0193 loss_cls: 0.1143 acc: 94.4092 loss_bbox: 0.1266 loss_mask: 0.3001 loss: 0.5852 2022/08/26 16:09:37 - mmengine - INFO - Epoch(train) [14][95/125] lr: 8.0000e-02 eta: 2:49:39 time: 0.3740 data_time: 0.0900 memory: 6094 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0216 loss_cls: 0.1106 acc: 96.9971 loss_bbox: 0.1280 loss_mask: 0.2988 loss: 0.5795 2022/08/26 16:09:40 - mmengine - INFO - Epoch(train) [14][100/125] lr: 8.0000e-02 eta: 2:49:25 time: 0.4822 data_time: 0.1080 memory: 6823 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0201 loss_cls: 0.1048 acc: 95.8496 loss_bbox: 0.1244 loss_mask: 0.2978 loss: 0.5639 2022/08/26 16:09:43 - mmengine - INFO - Epoch(train) [14][105/125] lr: 8.0000e-02 eta: 2:49:25 time: 0.5419 data_time: 0.1425 memory: 6980 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0210 loss_cls: 0.1229 acc: 96.6797 loss_bbox: 0.1558 loss_mask: 0.3007 loss: 0.6165 2022/08/26 16:09:45 - mmengine - INFO - Epoch(train) [14][110/125] lr: 8.0000e-02 eta: 2:49:07 time: 0.4315 data_time: 0.1227 memory: 6596 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0210 loss_cls: 0.1200 acc: 97.2656 loss_bbox: 0.1483 loss_mask: 0.2872 loss: 0.5943 2022/08/26 16:09:47 - mmengine - INFO - Epoch(train) [14][115/125] lr: 8.0000e-02 eta: 2:49:07 time: 0.3688 data_time: 0.0816 memory: 5950 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0170 loss_cls: 0.1021 acc: 97.2412 loss_bbox: 0.1135 loss_mask: 0.2911 loss: 0.5434 2022/08/26 16:09:48 - mmengine - INFO - Epoch(train) [14][120/125] lr: 8.0000e-02 eta: 2:48:39 time: 0.3472 data_time: 0.0669 memory: 5928 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0177 loss_cls: 0.1023 acc: 95.7275 loss_bbox: 0.1224 loss_mask: 0.2977 loss: 0.5623 2022/08/26 16:09:50 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:09:50 - mmengine - INFO - Epoch(train) [14][125/125] lr: 8.0000e-02 eta: 2:48:39 time: 0.3918 data_time: 0.0660 memory: 6544 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0173 loss_cls: 0.1021 acc: 96.6553 loss_bbox: 0.1268 loss_mask: 0.2918 loss: 0.5580 2022/08/26 16:09:54 - mmengine - INFO - Epoch(train) [15][5/125] lr: 8.0000e-02 eta: 2:48:39 time: 0.5394 data_time: 0.2013 memory: 6786 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0133 loss_cls: 0.1034 acc: 95.6055 loss_bbox: 0.1291 loss_mask: 0.3021 loss: 0.5625 2022/08/26 16:09:56 - mmengine - INFO - Epoch(train) [15][10/125] lr: 8.0000e-02 eta: 2:47:57 time: 0.5045 data_time: 0.2016 memory: 6858 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0155 loss_cls: 0.1187 acc: 94.9463 loss_bbox: 0.1502 loss_mask: 0.2901 loss: 0.5906 2022/08/26 16:09:58 - mmengine - INFO - Epoch(train) [15][15/125] lr: 8.0000e-02 eta: 2:47:57 time: 0.3457 data_time: 0.0636 memory: 5848 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0165 loss_cls: 0.1168 acc: 94.7266 loss_bbox: 0.1428 loss_mask: 0.2843 loss: 0.5775 2022/08/26 16:09:59 - mmengine - INFO - Epoch(train) [15][20/125] lr: 8.0000e-02 eta: 2:47:31 time: 0.3548 data_time: 0.0682 memory: 6210 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0181 loss_cls: 0.1246 acc: 95.3125 loss_bbox: 0.1514 loss_mask: 0.2932 loss: 0.6045 2022/08/26 16:10:01 - mmengine - INFO - Epoch(train) [15][25/125] lr: 8.0000e-02 eta: 2:47:31 time: 0.3616 data_time: 0.0760 memory: 5966 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0215 loss_cls: 0.1240 acc: 94.8975 loss_bbox: 0.1506 loss_mask: 0.2859 loss: 0.6022 2022/08/26 16:10:03 - mmengine - INFO - Epoch(train) [15][30/125] lr: 8.0000e-02 eta: 2:47:08 time: 0.3734 data_time: 0.1067 memory: 6150 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0193 loss_cls: 0.1092 acc: 94.7998 loss_bbox: 0.1279 loss_mask: 0.2865 loss: 0.5614 2022/08/26 16:10:05 - mmengine - INFO - Epoch(train) [15][35/125] lr: 8.0000e-02 eta: 2:47:08 time: 0.4151 data_time: 0.1159 memory: 6855 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0161 loss_cls: 0.1156 acc: 96.1426 loss_bbox: 0.1456 loss_mask: 0.2938 loss: 0.5863 2022/08/26 16:10:07 - mmengine - INFO - Epoch(train) [15][40/125] lr: 8.0000e-02 eta: 2:46:45 time: 0.3830 data_time: 0.0816 memory: 6019 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0160 loss_cls: 0.1172 acc: 96.3135 loss_bbox: 0.1483 loss_mask: 0.2939 loss: 0.5912 2022/08/26 16:10:09 - mmengine - INFO - Epoch(train) [15][45/125] lr: 8.0000e-02 eta: 2:46:45 time: 0.3436 data_time: 0.0756 memory: 6022 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0201 loss_cls: 0.1125 acc: 95.8252 loss_bbox: 0.1368 loss_mask: 0.2803 loss: 0.5659 2022/08/26 16:10:11 - mmengine - INFO - Epoch(train) [15][50/125] lr: 8.0000e-02 eta: 2:46:21 time: 0.3707 data_time: 0.0746 memory: 6131 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0236 loss_cls: 0.1155 acc: 96.4844 loss_bbox: 0.1396 loss_mask: 0.2764 loss: 0.5717 2022/08/26 16:10:13 - mmengine - INFO - Epoch(train) [15][55/125] lr: 8.0000e-02 eta: 2:46:21 time: 0.3797 data_time: 0.0787 memory: 6074 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0205 loss_cls: 0.1113 acc: 96.5576 loss_bbox: 0.1355 loss_mask: 0.2662 loss: 0.5490 2022/08/26 16:10:15 - mmengine - INFO - Epoch(train) [15][60/125] lr: 8.0000e-02 eta: 2:45:59 time: 0.3778 data_time: 0.0950 memory: 6588 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0190 loss_cls: 0.1018 acc: 95.9473 loss_bbox: 0.1302 loss_mask: 0.2858 loss: 0.5541 2022/08/26 16:10:16 - mmengine - INFO - Epoch(train) [15][65/125] lr: 8.0000e-02 eta: 2:45:59 time: 0.3657 data_time: 0.0875 memory: 5891 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0200 loss_cls: 0.1002 acc: 95.5078 loss_bbox: 0.1280 loss_mask: 0.3153 loss: 0.5819 2022/08/26 16:10:18 - mmengine - INFO - Epoch(train) [15][70/125] lr: 8.0000e-02 eta: 2:45:34 time: 0.3507 data_time: 0.0814 memory: 6177 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0202 loss_cls: 0.1110 acc: 96.6553 loss_bbox: 0.1317 loss_mask: 0.3236 loss: 0.6048 2022/08/26 16:10:20 - mmengine - INFO - Epoch(train) [15][75/125] lr: 8.0000e-02 eta: 2:45:34 time: 0.3997 data_time: 0.1245 memory: 5843 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0202 loss_cls: 0.1165 acc: 94.6777 loss_bbox: 0.1285 loss_mask: 0.3172 loss: 0.6040 2022/08/26 16:10:22 - mmengine - INFO - Epoch(train) [15][80/125] lr: 8.0000e-02 eta: 2:45:16 time: 0.4207 data_time: 0.1399 memory: 6435 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0165 loss_cls: 0.1104 acc: 95.9717 loss_bbox: 0.1242 loss_mask: 0.2880 loss: 0.5606 2022/08/26 16:10:24 - mmengine - INFO - Epoch(train) [15][85/125] lr: 8.0000e-02 eta: 2:45:16 time: 0.3597 data_time: 0.0834 memory: 6061 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0173 loss_cls: 0.1161 acc: 96.2891 loss_bbox: 0.1332 loss_mask: 0.2791 loss: 0.5633 2022/08/26 16:10:26 - mmengine - INFO - Epoch(train) [15][90/125] lr: 8.0000e-02 eta: 2:44:52 time: 0.3580 data_time: 0.0954 memory: 5834 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0172 loss_cls: 0.1115 acc: 96.0693 loss_bbox: 0.1210 loss_mask: 0.2937 loss: 0.5584 2022/08/26 16:10:27 - mmengine - INFO - Epoch(train) [15][95/125] lr: 8.0000e-02 eta: 2:44:52 time: 0.3709 data_time: 0.1006 memory: 6200 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0240 loss_cls: 0.1278 acc: 95.7764 loss_bbox: 0.1385 loss_mask: 0.3062 loss: 0.6191 2022/08/26 16:10:31 - mmengine - INFO - Epoch(train) [15][100/125] lr: 8.0000e-02 eta: 2:44:40 time: 0.4831 data_time: 0.1171 memory: 6313 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0274 loss_cls: 0.1385 acc: 92.1631 loss_bbox: 0.1641 loss_mask: 0.3035 loss: 0.6587 2022/08/26 16:10:33 - mmengine - INFO - Epoch(train) [15][105/125] lr: 8.0000e-02 eta: 2:44:40 time: 0.5027 data_time: 0.1372 memory: 6042 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0232 loss_cls: 0.1178 acc: 94.8730 loss_bbox: 0.1454 loss_mask: 0.2838 loss: 0.5916 2022/08/26 16:10:35 - mmengine - INFO - Epoch(train) [15][110/125] lr: 8.0000e-02 eta: 2:44:22 time: 0.4120 data_time: 0.1245 memory: 6503 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0223 loss_cls: 0.1130 acc: 95.6055 loss_bbox: 0.1380 loss_mask: 0.2662 loss: 0.5612 2022/08/26 16:10:37 - mmengine - INFO - Epoch(train) [15][115/125] lr: 8.0000e-02 eta: 2:44:22 time: 0.4224 data_time: 0.1410 memory: 6019 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0165 loss_cls: 0.1067 acc: 96.7041 loss_bbox: 0.1334 loss_mask: 0.2725 loss: 0.5452 2022/08/26 16:10:40 - mmengine - INFO - Epoch(train) [15][120/125] lr: 8.0000e-02 eta: 2:44:16 time: 0.5363 data_time: 0.1936 memory: 6722 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0151 loss_cls: 0.1079 acc: 94.0918 loss_bbox: 0.1356 loss_mask: 0.2824 loss: 0.5531 2022/08/26 16:10:42 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:10:42 - mmengine - INFO - Epoch(train) [15][125/125] lr: 8.0000e-02 eta: 2:44:16 time: 0.4961 data_time: 0.1529 memory: 6067 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0146 loss_cls: 0.1156 acc: 98.7305 loss_bbox: 0.1376 loss_mask: 0.3044 loss: 0.5854 2022/08/26 16:10:45 - mmengine - INFO - Epoch(train) [16][5/125] lr: 8.0000e-02 eta: 2:44:16 time: 0.5153 data_time: 0.2222 memory: 6738 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0165 loss_cls: 0.1255 acc: 94.3848 loss_bbox: 0.1517 loss_mask: 0.3338 loss: 0.6454 2022/08/26 16:10:48 - mmengine - INFO - Epoch(train) [16][10/125] lr: 8.0000e-02 eta: 2:43:44 time: 0.5741 data_time: 0.2782 memory: 6120 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0170 loss_cls: 0.1381 acc: 94.3848 loss_bbox: 0.1698 loss_mask: 0.3522 loss: 0.6980 2022/08/26 16:10:49 - mmengine - INFO - Epoch(train) [16][15/125] lr: 8.0000e-02 eta: 2:43:44 time: 0.3758 data_time: 0.0984 memory: 5878 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0181 loss_cls: 0.1149 acc: 96.9482 loss_bbox: 0.1347 loss_mask: 0.3281 loss: 0.6126 2022/08/26 16:10:51 - mmengine - INFO - Epoch(train) [16][20/125] lr: 8.0000e-02 eta: 2:43:23 time: 0.3741 data_time: 0.0806 memory: 7020 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0261 loss_cls: 0.1101 acc: 96.4600 loss_bbox: 0.1301 loss_mask: 0.2931 loss: 0.5792 2022/08/26 16:10:54 - mmengine - INFO - Epoch(train) [16][25/125] lr: 8.0000e-02 eta: 2:43:23 time: 0.4266 data_time: 0.1194 memory: 6245 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0278 loss_cls: 0.1281 acc: 96.4600 loss_bbox: 0.1573 loss_mask: 0.2931 loss: 0.6276 2022/08/26 16:10:55 - mmengine - INFO - Epoch(train) [16][30/125] lr: 8.0000e-02 eta: 2:43:03 time: 0.3864 data_time: 0.0952 memory: 6160 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0237 loss_cls: 0.1269 acc: 96.3867 loss_bbox: 0.1564 loss_mask: 0.3162 loss: 0.6463 2022/08/26 16:10:57 - mmengine - INFO - Epoch(train) [16][35/125] lr: 8.0000e-02 eta: 2:43:03 time: 0.3607 data_time: 0.0724 memory: 6600 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0199 loss_cls: 0.1184 acc: 97.1436 loss_bbox: 0.1427 loss_mask: 0.3151 loss: 0.6222 2022/08/26 16:11:00 - mmengine - INFO - Epoch(train) [16][40/125] lr: 8.0000e-02 eta: 2:42:47 time: 0.4335 data_time: 0.1311 memory: 6547 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0182 loss_cls: 0.1110 acc: 95.0928 loss_bbox: 0.1346 loss_mask: 0.2838 loss: 0.5692 2022/08/26 16:11:01 - mmengine - INFO - Epoch(train) [16][45/125] lr: 8.0000e-02 eta: 2:42:47 time: 0.4132 data_time: 0.1289 memory: 5870 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0157 loss_cls: 0.1074 acc: 97.0459 loss_bbox: 0.1321 loss_mask: 0.2873 loss: 0.5581 2022/08/26 16:11:03 - mmengine - INFO - Epoch(train) [16][50/125] lr: 8.0000e-02 eta: 2:42:26 time: 0.3759 data_time: 0.0686 memory: 6657 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0162 loss_cls: 0.1076 acc: 95.6787 loss_bbox: 0.1406 loss_mask: 0.2817 loss: 0.5589 2022/08/26 16:11:05 - mmengine - INFO - Epoch(train) [16][55/125] lr: 8.0000e-02 eta: 2:42:26 time: 0.4231 data_time: 0.0944 memory: 6669 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0181 loss_cls: 0.1201 acc: 97.5098 loss_bbox: 0.1474 loss_mask: 0.2881 loss: 0.5907 2022/08/26 16:11:08 - mmengine - INFO - Epoch(train) [16][60/125] lr: 8.0000e-02 eta: 2:42:11 time: 0.4323 data_time: 0.1313 memory: 6467 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0148 loss_cls: 0.1190 acc: 97.1680 loss_bbox: 0.1389 loss_mask: 0.3031 loss: 0.5954 2022/08/26 16:11:10 - mmengine - INFO - Epoch(train) [16][65/125] lr: 8.0000e-02 eta: 2:42:11 time: 0.4346 data_time: 0.1235 memory: 6714 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0123 loss_cls: 0.1087 acc: 96.5332 loss_bbox: 0.1355 loss_mask: 0.2902 loss: 0.5626 2022/08/26 16:11:12 - mmengine - INFO - Epoch(train) [16][70/125] lr: 8.0000e-02 eta: 2:41:53 time: 0.3983 data_time: 0.0965 memory: 5902 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0138 loss_cls: 0.0990 acc: 96.0205 loss_bbox: 0.1260 loss_mask: 0.2630 loss: 0.5157 2022/08/26 16:11:14 - mmengine - INFO - Epoch(train) [16][75/125] lr: 8.0000e-02 eta: 2:41:53 time: 0.3887 data_time: 0.0881 memory: 6964 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0138 loss_cls: 0.1005 acc: 95.7520 loss_bbox: 0.1292 loss_mask: 0.2584 loss: 0.5166 2022/08/26 16:11:16 - mmengine - INFO - Epoch(train) [16][80/125] lr: 8.0000e-02 eta: 2:41:36 time: 0.4175 data_time: 0.0838 memory: 6091 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0139 loss_cls: 0.1143 acc: 95.5811 loss_bbox: 0.1456 loss_mask: 0.2677 loss: 0.5562 2022/08/26 16:11:18 - mmengine - INFO - Epoch(train) [16][85/125] lr: 8.0000e-02 eta: 2:41:36 time: 0.4169 data_time: 0.1017 memory: 6810 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0174 loss_cls: 0.1075 acc: 94.4580 loss_bbox: 0.1418 loss_mask: 0.2559 loss: 0.5410 2022/08/26 16:11:20 - mmengine - INFO - Epoch(train) [16][90/125] lr: 8.0000e-02 eta: 2:41:19 time: 0.4078 data_time: 0.1281 memory: 6080 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0185 loss_cls: 0.1077 acc: 95.5322 loss_bbox: 0.1443 loss_mask: 0.2667 loss: 0.5533 2022/08/26 16:11:22 - mmengine - INFO - Epoch(train) [16][95/125] lr: 8.0000e-02 eta: 2:41:19 time: 0.3895 data_time: 0.1006 memory: 7126 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0208 loss_cls: 0.1250 acc: 96.0938 loss_bbox: 0.1644 loss_mask: 0.2751 loss: 0.5996 2022/08/26 16:11:23 - mmengine - INFO - Epoch(train) [16][100/125] lr: 8.0000e-02 eta: 2:40:57 time: 0.3517 data_time: 0.0617 memory: 5979 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0205 loss_cls: 0.1150 acc: 95.5566 loss_bbox: 0.1428 loss_mask: 0.2643 loss: 0.5577 2022/08/26 16:11:25 - mmengine - INFO - Epoch(train) [16][105/125] lr: 8.0000e-02 eta: 2:40:57 time: 0.3371 data_time: 0.0642 memory: 5845 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0211 loss_cls: 0.1054 acc: 98.2666 loss_bbox: 0.1130 loss_mask: 0.2638 loss: 0.5200 2022/08/26 16:11:27 - mmengine - INFO - Epoch(train) [16][110/125] lr: 8.0000e-02 eta: 2:40:35 time: 0.3542 data_time: 0.0825 memory: 5859 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0197 loss_cls: 0.1043 acc: 96.3135 loss_bbox: 0.1183 loss_mask: 0.2699 loss: 0.5315 2022/08/26 16:11:29 - mmengine - INFO - Epoch(train) [16][115/125] lr: 8.0000e-02 eta: 2:40:35 time: 0.3572 data_time: 0.0860 memory: 6415 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0187 loss_cls: 0.1034 acc: 97.2168 loss_bbox: 0.1340 loss_mask: 0.2925 loss: 0.5670 2022/08/26 16:11:31 - mmengine - INFO - Epoch(train) [16][120/125] lr: 8.0000e-02 eta: 2:40:15 time: 0.3804 data_time: 0.0934 memory: 6147 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0184 loss_cls: 0.1119 acc: 95.8252 loss_bbox: 0.1401 loss_mask: 0.2963 loss: 0.5839 2022/08/26 16:11:32 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:11:32 - mmengine - INFO - Epoch(train) [16][125/125] lr: 8.0000e-02 eta: 2:40:15 time: 0.3599 data_time: 0.0745 memory: 5931 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0156 loss_cls: 0.1169 acc: 94.7998 loss_bbox: 0.1421 loss_mask: 0.2787 loss: 0.5710 2022/08/26 16:11:35 - mmengine - INFO - Epoch(train) [17][5/125] lr: 8.0000e-02 eta: 2:40:15 time: 0.4485 data_time: 0.1773 memory: 5964 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0197 loss_cls: 0.1100 acc: 96.0693 loss_bbox: 0.1356 loss_mask: 0.2541 loss: 0.5372 2022/08/26 16:11:38 - mmengine - INFO - Epoch(train) [17][10/125] lr: 8.0000e-02 eta: 2:39:42 time: 0.5193 data_time: 0.2404 memory: 6183 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0184 loss_cls: 0.1040 acc: 96.2158 loss_bbox: 0.1268 loss_mask: 0.2370 loss: 0.5009 2022/08/26 16:11:40 - mmengine - INFO - Epoch(train) [17][15/125] lr: 8.0000e-02 eta: 2:39:42 time: 0.4172 data_time: 0.1260 memory: 5980 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0167 loss_cls: 0.1064 acc: 96.2158 loss_bbox: 0.1286 loss_mask: 0.2572 loss: 0.5233 2022/08/26 16:11:42 - mmengine - INFO - Epoch(train) [17][20/125] lr: 8.0000e-02 eta: 2:39:24 time: 0.3840 data_time: 0.1007 memory: 5924 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0175 loss_cls: 0.1085 acc: 96.2646 loss_bbox: 0.1281 loss_mask: 0.2791 loss: 0.5515 2022/08/26 16:11:43 - mmengine - INFO - Epoch(train) [17][25/125] lr: 8.0000e-02 eta: 2:39:24 time: 0.3717 data_time: 0.1007 memory: 6028 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0165 loss_cls: 0.1144 acc: 95.8496 loss_bbox: 0.1386 loss_mask: 0.2897 loss: 0.5776 2022/08/26 16:11:45 - mmengine - INFO - Epoch(train) [17][30/125] lr: 8.0000e-02 eta: 2:39:06 time: 0.3975 data_time: 0.1256 memory: 5848 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0149 loss_cls: 0.1100 acc: 96.6064 loss_bbox: 0.1335 loss_mask: 0.2870 loss: 0.5630 2022/08/26 16:11:48 - mmengine - INFO - Epoch(train) [17][35/125] lr: 8.0000e-02 eta: 2:39:06 time: 0.4694 data_time: 0.1688 memory: 6765 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0167 loss_cls: 0.1125 acc: 95.5322 loss_bbox: 0.1374 loss_mask: 0.2756 loss: 0.5630 2022/08/26 16:11:50 - mmengine - INFO - Epoch(train) [17][40/125] lr: 8.0000e-02 eta: 2:38:53 time: 0.4364 data_time: 0.1093 memory: 6799 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0191 loss_cls: 0.1227 acc: 95.9229 loss_bbox: 0.1581 loss_mask: 0.2814 loss: 0.6027 2022/08/26 16:11:53 - mmengine - INFO - Epoch(train) [17][45/125] lr: 8.0000e-02 eta: 2:38:53 time: 0.4567 data_time: 0.1635 memory: 6005 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0190 loss_cls: 0.1131 acc: 96.7041 loss_bbox: 0.1412 loss_mask: 0.2768 loss: 0.5680 2022/08/26 16:11:54 - mmengine - INFO - Epoch(train) [17][50/125] lr: 8.0000e-02 eta: 2:38:39 time: 0.4352 data_time: 0.1684 memory: 6094 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0229 loss_cls: 0.1072 acc: 95.6299 loss_bbox: 0.1338 loss_mask: 0.2587 loss: 0.5426 2022/08/26 16:11:57 - mmengine - INFO - Epoch(train) [17][55/125] lr: 8.0000e-02 eta: 2:38:39 time: 0.4062 data_time: 0.1349 memory: 5911 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0191 loss_cls: 0.1143 acc: 96.1182 loss_bbox: 0.1449 loss_mask: 0.2763 loss: 0.5739 2022/08/26 16:11:58 - mmengine - INFO - Epoch(train) [17][60/125] lr: 8.0000e-02 eta: 2:38:23 time: 0.4081 data_time: 0.1248 memory: 6790 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0142 loss_cls: 0.1124 acc: 96.1670 loss_bbox: 0.1411 loss_mask: 0.2813 loss: 0.5646 2022/08/26 16:12:01 - mmengine - INFO - Epoch(train) [17][65/125] lr: 8.0000e-02 eta: 2:38:23 time: 0.3971 data_time: 0.0749 memory: 6232 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0183 loss_cls: 0.1178 acc: 95.3857 loss_bbox: 0.1525 loss_mask: 0.2732 loss: 0.5802 2022/08/26 16:12:03 - mmengine - INFO - Epoch(train) [17][70/125] lr: 8.0000e-02 eta: 2:38:10 time: 0.4424 data_time: 0.1307 memory: 6039 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0176 loss_cls: 0.1162 acc: 95.7031 loss_bbox: 0.1451 loss_mask: 0.2748 loss: 0.5716 2022/08/26 16:12:05 - mmengine - INFO - Epoch(train) [17][75/125] lr: 8.0000e-02 eta: 2:38:10 time: 0.3922 data_time: 0.1211 memory: 6098 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0161 loss_cls: 0.1083 acc: 95.4346 loss_bbox: 0.1354 loss_mask: 0.2744 loss: 0.5506 2022/08/26 16:12:06 - mmengine - INFO - Epoch(train) [17][80/125] lr: 8.0000e-02 eta: 2:37:49 time: 0.3432 data_time: 0.0799 memory: 5747 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0150 loss_cls: 0.1001 acc: 97.0703 loss_bbox: 0.1248 loss_mask: 0.2981 loss: 0.5552 2022/08/26 16:12:08 - mmengine - INFO - Epoch(train) [17][85/125] lr: 8.0000e-02 eta: 2:37:49 time: 0.3661 data_time: 0.1009 memory: 6114 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0156 loss_cls: 0.0991 acc: 95.3613 loss_bbox: 0.1227 loss_mask: 0.2914 loss: 0.5434 2022/08/26 16:12:11 - mmengine - INFO - Epoch(train) [17][90/125] lr: 8.0000e-02 eta: 2:37:44 time: 0.5300 data_time: 0.1216 memory: 6144 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0194 loss_cls: 0.1177 acc: 96.2646 loss_bbox: 0.1542 loss_mask: 0.2665 loss: 0.5733 2022/08/26 16:12:14 - mmengine - INFO - Epoch(train) [17][95/125] lr: 8.0000e-02 eta: 2:37:44 time: 0.5695 data_time: 0.1371 memory: 7503 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0186 loss_cls: 0.1315 acc: 95.9961 loss_bbox: 0.1693 loss_mask: 0.2817 loss: 0.6199 2022/08/26 16:12:16 - mmengine - INFO - Epoch(train) [17][100/125] lr: 8.0000e-02 eta: 2:37:29 time: 0.4144 data_time: 0.1163 memory: 6145 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0213 loss_cls: 0.1318 acc: 94.2871 loss_bbox: 0.1658 loss_mask: 0.2830 loss: 0.6212 2022/08/26 16:12:18 - mmengine - INFO - Epoch(train) [17][105/125] lr: 8.0000e-02 eta: 2:37:29 time: 0.3779 data_time: 0.0926 memory: 6838 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0214 loss_cls: 0.1284 acc: 95.2393 loss_bbox: 0.1610 loss_mask: 0.2676 loss: 0.5994 2022/08/26 16:12:20 - mmengine - INFO - Epoch(train) [17][110/125] lr: 8.0000e-02 eta: 2:37:13 time: 0.4027 data_time: 0.0888 memory: 6540 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0244 loss_cls: 0.1230 acc: 95.2148 loss_bbox: 0.1557 loss_mask: 0.2510 loss: 0.5744 2022/08/26 16:12:22 - mmengine - INFO - Epoch(train) [17][115/125] lr: 8.0000e-02 eta: 2:37:13 time: 0.4009 data_time: 0.0974 memory: 6246 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0225 loss_cls: 0.1104 acc: 95.5811 loss_bbox: 0.1393 loss_mask: 0.2650 loss: 0.5549 2022/08/26 16:12:24 - mmengine - INFO - Epoch(train) [17][120/125] lr: 8.0000e-02 eta: 2:36:58 time: 0.4101 data_time: 0.1423 memory: 5954 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0178 loss_cls: 0.1032 acc: 98.4375 loss_bbox: 0.1326 loss_mask: 0.2780 loss: 0.5472 2022/08/26 16:12:25 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:12:25 - mmengine - INFO - Epoch(train) [17][125/125] lr: 8.0000e-02 eta: 2:36:58 time: 0.3727 data_time: 0.0969 memory: 6899 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0174 loss_cls: 0.0990 acc: 98.1689 loss_bbox: 0.1353 loss_mask: 0.2622 loss: 0.5292 2022/08/26 16:12:28 - mmengine - INFO - Epoch(train) [18][5/125] lr: 8.0000e-02 eta: 2:36:58 time: 0.4570 data_time: 0.1629 memory: 6920 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0182 loss_cls: 0.1078 acc: 96.6064 loss_bbox: 0.1418 loss_mask: 0.2618 loss: 0.5481 2022/08/26 16:12:31 - mmengine - INFO - Epoch(train) [18][10/125] lr: 8.0000e-02 eta: 2:36:28 time: 0.5337 data_time: 0.1974 memory: 6555 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0228 loss_cls: 0.1175 acc: 95.8008 loss_bbox: 0.1439 loss_mask: 0.2824 loss: 0.5850 2022/08/26 16:12:33 - mmengine - INFO - Epoch(train) [18][15/125] lr: 8.0000e-02 eta: 2:36:28 time: 0.4461 data_time: 0.1188 memory: 6061 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0230 loss_cls: 0.1217 acc: 95.9229 loss_bbox: 0.1487 loss_mask: 0.2987 loss: 0.6136 2022/08/26 16:12:35 - mmengine - INFO - Epoch(train) [18][20/125] lr: 8.0000e-02 eta: 2:36:14 time: 0.4147 data_time: 0.1383 memory: 6094 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0198 loss_cls: 0.1181 acc: 95.0928 loss_bbox: 0.1476 loss_mask: 0.2799 loss: 0.5876 2022/08/26 16:12:37 - mmengine - INFO - Epoch(train) [18][25/125] lr: 8.0000e-02 eta: 2:36:14 time: 0.3961 data_time: 0.1137 memory: 6778 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0194 loss_cls: 0.1041 acc: 98.0469 loss_bbox: 0.1268 loss_mask: 0.2695 loss: 0.5377 2022/08/26 16:12:39 - mmengine - INFO - Epoch(train) [18][30/125] lr: 8.0000e-02 eta: 2:35:56 time: 0.3716 data_time: 0.0688 memory: 7093 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0222 loss_cls: 0.1099 acc: 93.3594 loss_bbox: 0.1440 loss_mask: 0.2615 loss: 0.5544 2022/08/26 16:12:41 - mmengine - INFO - Epoch(train) [18][35/125] lr: 8.0000e-02 eta: 2:35:56 time: 0.3983 data_time: 0.0749 memory: 6949 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0214 loss_cls: 0.1201 acc: 94.7510 loss_bbox: 0.1685 loss_mask: 0.2455 loss: 0.5713 2022/08/26 16:12:43 - mmengine - INFO - Epoch(train) [18][40/125] lr: 8.0000e-02 eta: 2:35:39 time: 0.3863 data_time: 0.0857 memory: 5918 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0197 loss_cls: 0.1123 acc: 95.6543 loss_bbox: 0.1501 loss_mask: 0.2604 loss: 0.5632 2022/08/26 16:12:44 - mmengine - INFO - Epoch(train) [18][45/125] lr: 8.0000e-02 eta: 2:35:39 time: 0.3544 data_time: 0.0881 memory: 5967 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0184 loss_cls: 0.1059 acc: 94.8486 loss_bbox: 0.1330 loss_mask: 0.2861 loss: 0.5653 2022/08/26 16:12:47 - mmengine - INFO - Epoch(train) [18][50/125] lr: 8.0000e-02 eta: 2:35:24 time: 0.4033 data_time: 0.1227 memory: 6625 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0191 loss_cls: 0.1065 acc: 96.4844 loss_bbox: 0.1316 loss_mask: 0.2899 loss: 0.5675 2022/08/26 16:12:48 - mmengine - INFO - Epoch(train) [18][55/125] lr: 8.0000e-02 eta: 2:35:24 time: 0.3935 data_time: 0.1117 memory: 6045 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0185 loss_cls: 0.0987 acc: 96.3867 loss_bbox: 0.1251 loss_mask: 0.2725 loss: 0.5333 2022/08/26 16:12:51 - mmengine - INFO - Epoch(train) [18][60/125] lr: 8.0000e-02 eta: 2:35:16 time: 0.4802 data_time: 0.0884 memory: 7193 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0217 loss_cls: 0.1107 acc: 93.9209 loss_bbox: 0.1395 loss_mask: 0.2694 loss: 0.5571 2022/08/26 16:12:53 - mmengine - INFO - Epoch(train) [18][65/125] lr: 8.0000e-02 eta: 2:35:16 time: 0.4943 data_time: 0.0864 memory: 6636 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0222 loss_cls: 0.1297 acc: 94.3604 loss_bbox: 0.1640 loss_mask: 0.2623 loss: 0.5935 2022/08/26 16:12:55 - mmengine - INFO - Epoch(train) [18][70/125] lr: 8.0000e-02 eta: 2:34:58 time: 0.3680 data_time: 0.0800 memory: 6071 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0200 loss_cls: 0.1305 acc: 95.5566 loss_bbox: 0.1643 loss_mask: 0.2648 loss: 0.5972 2022/08/26 16:12:57 - mmengine - INFO - Epoch(train) [18][75/125] lr: 8.0000e-02 eta: 2:34:58 time: 0.3969 data_time: 0.1127 memory: 6975 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0178 loss_cls: 0.1226 acc: 97.6074 loss_bbox: 0.1517 loss_mask: 0.2856 loss: 0.5959 2022/08/26 16:12:59 - mmengine - INFO - Epoch(train) [18][80/125] lr: 8.0000e-02 eta: 2:34:42 time: 0.3922 data_time: 0.1135 memory: 5809 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0165 loss_cls: 0.1072 acc: 97.7295 loss_bbox: 0.1257 loss_mask: 0.2926 loss: 0.5594 2022/08/26 16:13:01 - mmengine - INFO - Epoch(train) [18][85/125] lr: 8.0000e-02 eta: 2:34:42 time: 0.3673 data_time: 0.0801 memory: 6690 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0200 loss_cls: 0.1182 acc: 96.1426 loss_bbox: 0.1383 loss_mask: 0.2978 loss: 0.5924 2022/08/26 16:13:04 - mmengine - INFO - Epoch(train) [18][90/125] lr: 8.0000e-02 eta: 2:34:35 time: 0.4996 data_time: 0.1669 memory: 5939 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0156 loss_cls: 0.1199 acc: 96.9238 loss_bbox: 0.1463 loss_mask: 0.3027 loss: 0.6003 2022/08/26 16:13:06 - mmengine - INFO - Epoch(train) [18][95/125] lr: 8.0000e-02 eta: 2:34:35 time: 0.4839 data_time: 0.1701 memory: 6114 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0130 loss_cls: 0.1053 acc: 96.0449 loss_bbox: 0.1331 loss_mask: 0.2849 loss: 0.5510 2022/08/26 16:13:08 - mmengine - INFO - Epoch(train) [18][100/125] lr: 8.0000e-02 eta: 2:34:22 time: 0.4200 data_time: 0.1290 memory: 7350 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0179 loss_cls: 0.1086 acc: 95.8740 loss_bbox: 0.1399 loss_mask: 0.2744 loss: 0.5548 2022/08/26 16:13:10 - mmengine - INFO - Epoch(train) [18][105/125] lr: 8.0000e-02 eta: 2:34:22 time: 0.4651 data_time: 0.1176 memory: 7105 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0212 loss_cls: 0.1316 acc: 94.7266 loss_bbox: 0.1667 loss_mask: 0.2715 loss: 0.6078 2022/08/26 16:13:12 - mmengine - INFO - Epoch(train) [18][110/125] lr: 8.0000e-02 eta: 2:34:06 time: 0.3833 data_time: 0.0557 memory: 5825 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0184 loss_cls: 0.1365 acc: 96.0205 loss_bbox: 0.1572 loss_mask: 0.2731 loss: 0.6040 2022/08/26 16:13:14 - mmengine - INFO - Epoch(train) [18][115/125] lr: 8.0000e-02 eta: 2:34:06 time: 0.3322 data_time: 0.0658 memory: 6090 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0143 loss_cls: 0.1096 acc: 96.2158 loss_bbox: 0.1184 loss_mask: 0.2774 loss: 0.5377 2022/08/26 16:13:16 - mmengine - INFO - Epoch(train) [18][120/125] lr: 8.0000e-02 eta: 2:33:47 time: 0.3578 data_time: 0.0902 memory: 6019 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0145 loss_cls: 0.1019 acc: 96.8994 loss_bbox: 0.1192 loss_mask: 0.2662 loss: 0.5211 2022/08/26 16:13:17 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:13:17 - mmengine - INFO - Epoch(train) [18][125/125] lr: 8.0000e-02 eta: 2:33:47 time: 0.3559 data_time: 0.0864 memory: 6228 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0185 loss_cls: 0.1096 acc: 96.7529 loss_bbox: 0.1277 loss_mask: 0.2642 loss: 0.5364 2022/08/26 16:13:21 - mmengine - INFO - Epoch(train) [19][5/125] lr: 8.0000e-02 eta: 2:33:47 time: 0.5035 data_time: 0.2126 memory: 6226 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0200 loss_cls: 0.1174 acc: 97.9248 loss_bbox: 0.1398 loss_mask: 0.2727 loss: 0.5648 2022/08/26 16:13:23 - mmengine - INFO - Epoch(train) [19][10/125] lr: 8.0000e-02 eta: 2:33:20 time: 0.5344 data_time: 0.2228 memory: 7138 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0199 loss_cls: 0.1188 acc: 96.0693 loss_bbox: 0.1457 loss_mask: 0.2722 loss: 0.5765 2022/08/26 16:13:25 - mmengine - INFO - Epoch(train) [19][15/125] lr: 8.0000e-02 eta: 2:33:20 time: 0.3612 data_time: 0.0786 memory: 5911 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0158 loss_cls: 0.1050 acc: 96.0693 loss_bbox: 0.1313 loss_mask: 0.2791 loss: 0.5496 2022/08/26 16:13:27 - mmengine - INFO - Epoch(train) [19][20/125] lr: 8.0000e-02 eta: 2:33:08 time: 0.4255 data_time: 0.0721 memory: 6753 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0135 loss_cls: 0.1097 acc: 95.2393 loss_bbox: 0.1368 loss_mask: 0.2877 loss: 0.5643 2022/08/26 16:13:29 - mmengine - INFO - Epoch(train) [19][25/125] lr: 8.0000e-02 eta: 2:33:08 time: 0.4548 data_time: 0.0933 memory: 6339 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0155 loss_cls: 0.1274 acc: 94.8486 loss_bbox: 0.1559 loss_mask: 0.2935 loss: 0.6116 2022/08/26 16:13:31 - mmengine - INFO - Epoch(train) [19][30/125] lr: 8.0000e-02 eta: 2:32:55 time: 0.4159 data_time: 0.1327 memory: 6213 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0187 loss_cls: 0.1313 acc: 95.3369 loss_bbox: 0.1629 loss_mask: 0.2997 loss: 0.6361 2022/08/26 16:13:33 - mmengine - INFO - Epoch(train) [19][35/125] lr: 8.0000e-02 eta: 2:32:55 time: 0.4170 data_time: 0.1163 memory: 7109 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0227 loss_cls: 0.1300 acc: 96.1182 loss_bbox: 0.1765 loss_mask: 0.2763 loss: 0.6282 2022/08/26 16:13:35 - mmengine - INFO - Epoch(train) [19][40/125] lr: 8.0000e-02 eta: 2:32:39 time: 0.3801 data_time: 0.0924 memory: 6088 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0180 loss_cls: 0.1066 acc: 96.3135 loss_bbox: 0.1532 loss_mask: 0.2626 loss: 0.5556 2022/08/26 16:13:37 - mmengine - INFO - Epoch(train) [19][45/125] lr: 8.0000e-02 eta: 2:32:39 time: 0.3515 data_time: 0.0820 memory: 6143 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0122 loss_cls: 0.0929 acc: 96.9482 loss_bbox: 0.1256 loss_mask: 0.2590 loss: 0.5042 2022/08/26 16:13:39 - mmengine - INFO - Epoch(train) [19][50/125] lr: 8.0000e-02 eta: 2:32:22 time: 0.3590 data_time: 0.0719 memory: 6915 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0151 loss_cls: 0.1094 acc: 95.3125 loss_bbox: 0.1468 loss_mask: 0.2613 loss: 0.5481 2022/08/26 16:13:42 - mmengine - INFO - Epoch(train) [19][55/125] lr: 8.0000e-02 eta: 2:32:22 time: 0.5389 data_time: 0.1021 memory: 6851 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0174 loss_cls: 0.1203 acc: 94.0918 loss_bbox: 0.1662 loss_mask: 0.2842 loss: 0.6043 2022/08/26 16:13:44 - mmengine - INFO - Epoch(train) [19][60/125] lr: 8.0000e-02 eta: 2:32:19 time: 0.5535 data_time: 0.1310 memory: 5861 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0162 loss_cls: 0.1105 acc: 97.2900 loss_bbox: 0.1451 loss_mask: 0.2950 loss: 0.5827 2022/08/26 16:13:46 - mmengine - INFO - Epoch(train) [19][65/125] lr: 8.0000e-02 eta: 2:32:19 time: 0.4190 data_time: 0.1111 memory: 7188 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0191 loss_cls: 0.1163 acc: 94.0674 loss_bbox: 0.1486 loss_mask: 0.2849 loss: 0.5855 2022/08/26 16:13:48 - mmengine - INFO - Epoch(train) [19][70/125] lr: 8.0000e-02 eta: 2:32:04 time: 0.3837 data_time: 0.0792 memory: 6120 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0169 loss_cls: 0.1118 acc: 96.7529 loss_bbox: 0.1439 loss_mask: 0.2882 loss: 0.5782 2022/08/26 16:13:50 - mmengine - INFO - Epoch(train) [19][75/125] lr: 8.0000e-02 eta: 2:32:04 time: 0.3887 data_time: 0.0806 memory: 7088 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0162 loss_cls: 0.1236 acc: 92.4805 loss_bbox: 0.1565 loss_mask: 0.3022 loss: 0.6183 2022/08/26 16:13:52 - mmengine - INFO - Epoch(train) [19][80/125] lr: 8.0000e-02 eta: 2:31:49 time: 0.3876 data_time: 0.0757 memory: 5861 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0177 loss_cls: 0.1266 acc: 95.7520 loss_bbox: 0.1579 loss_mask: 0.2916 loss: 0.6143 2022/08/26 16:13:55 - mmengine - INFO - Epoch(train) [19][85/125] lr: 8.0000e-02 eta: 2:31:49 time: 0.4911 data_time: 0.2182 memory: 6170 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0181 loss_cls: 0.1057 acc: 97.7295 loss_bbox: 0.1309 loss_mask: 0.2832 loss: 0.5561 2022/08/26 16:13:57 - mmengine - INFO - Epoch(train) [19][90/125] lr: 8.0000e-02 eta: 2:31:46 time: 0.5431 data_time: 0.2363 memory: 6827 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0235 loss_cls: 0.1108 acc: 97.4121 loss_bbox: 0.1385 loss_mask: 0.2841 loss: 0.5756 2022/08/26 16:14:01 - mmengine - INFO - Epoch(train) [19][95/125] lr: 8.0000e-02 eta: 2:31:46 time: 0.5359 data_time: 0.1932 memory: 6209 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0249 loss_cls: 0.1190 acc: 94.1895 loss_bbox: 0.1477 loss_mask: 0.2791 loss: 0.5900 2022/08/26 16:14:02 - mmengine - INFO - Epoch(train) [19][100/125] lr: 8.0000e-02 eta: 2:31:39 time: 0.4850 data_time: 0.1636 memory: 6484 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0205 loss_cls: 0.1227 acc: 96.7285 loss_bbox: 0.1631 loss_mask: 0.2721 loss: 0.5948 2022/08/26 16:14:04 - mmengine - INFO - Epoch(train) [19][105/125] lr: 8.0000e-02 eta: 2:31:39 time: 0.3596 data_time: 0.0727 memory: 6326 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0195 loss_cls: 0.1132 acc: 96.1182 loss_bbox: 0.1489 loss_mask: 0.2662 loss: 0.5633 2022/08/26 16:14:06 - mmengine - INFO - Epoch(train) [19][110/125] lr: 8.0000e-02 eta: 2:31:20 time: 0.3417 data_time: 0.0689 memory: 6262 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0196 loss_cls: 0.1109 acc: 96.5576 loss_bbox: 0.1357 loss_mask: 0.2760 loss: 0.5588 2022/08/26 16:14:08 - mmengine - INFO - Epoch(train) [19][115/125] lr: 8.0000e-02 eta: 2:31:20 time: 0.3695 data_time: 0.0949 memory: 6153 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0156 loss_cls: 0.1106 acc: 95.8008 loss_bbox: 0.1487 loss_mask: 0.2804 loss: 0.5687 2022/08/26 16:14:10 - mmengine - INFO - Epoch(train) [19][120/125] lr: 8.0000e-02 eta: 2:31:07 time: 0.4069 data_time: 0.1126 memory: 6239 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0151 loss_cls: 0.1273 acc: 93.7500 loss_bbox: 0.1658 loss_mask: 0.2819 loss: 0.6066 2022/08/26 16:14:11 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:14:11 - mmengine - INFO - Epoch(train) [19][125/125] lr: 8.0000e-02 eta: 2:31:07 time: 0.3360 data_time: 0.0458 memory: 6170 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0179 loss_cls: 0.1352 acc: 94.5557 loss_bbox: 0.1628 loss_mask: 0.2685 loss: 0.6056 2022/08/26 16:14:14 - mmengine - INFO - Epoch(train) [20][5/125] lr: 8.0000e-02 eta: 2:31:07 time: 0.4107 data_time: 0.1360 memory: 6160 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0168 loss_cls: 0.1255 acc: 94.0430 loss_bbox: 0.1498 loss_mask: 0.2493 loss: 0.5609 2022/08/26 16:14:16 - mmengine - INFO - Epoch(train) [20][10/125] lr: 8.0000e-02 eta: 2:30:36 time: 0.4497 data_time: 0.1705 memory: 6369 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0170 loss_cls: 0.1338 acc: 96.6309 loss_bbox: 0.1652 loss_mask: 0.2652 loss: 0.6023 2022/08/26 16:14:18 - mmengine - INFO - Epoch(train) [20][15/125] lr: 8.0000e-02 eta: 2:30:36 time: 0.3504 data_time: 0.0758 memory: 5966 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0190 loss_cls: 0.1178 acc: 96.8506 loss_bbox: 0.1516 loss_mask: 0.2627 loss: 0.5696 2022/08/26 16:14:19 - mmengine - INFO - Epoch(train) [20][20/125] lr: 8.0000e-02 eta: 2:30:16 time: 0.3206 data_time: 0.0498 memory: 6053 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0169 loss_cls: 0.0995 acc: 94.7266 loss_bbox: 0.1334 loss_mask: 0.2501 loss: 0.5123 2022/08/26 16:14:21 - mmengine - INFO - Epoch(train) [20][25/125] lr: 8.0000e-02 eta: 2:30:16 time: 0.3354 data_time: 0.0352 memory: 6862 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0171 loss_cls: 0.1086 acc: 96.1670 loss_bbox: 0.1534 loss_mask: 0.2500 loss: 0.5402 2022/08/26 16:14:23 - mmengine - INFO - Epoch(train) [20][30/125] lr: 8.0000e-02 eta: 2:30:03 time: 0.4037 data_time: 0.0768 memory: 6206 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0180 loss_cls: 0.1059 acc: 97.3633 loss_bbox: 0.1505 loss_mask: 0.2503 loss: 0.5385 2022/08/26 16:14:25 - mmengine - INFO - Epoch(train) [20][35/125] lr: 8.0000e-02 eta: 2:30:03 time: 0.4180 data_time: 0.1095 memory: 6137 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0184 loss_cls: 0.1082 acc: 96.6797 loss_bbox: 0.1526 loss_mask: 0.2509 loss: 0.5490 2022/08/26 16:14:27 - mmengine - INFO - Epoch(train) [20][40/125] lr: 8.0000e-02 eta: 2:29:48 time: 0.3671 data_time: 0.0846 memory: 6209 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0181 loss_cls: 0.1161 acc: 95.0928 loss_bbox: 0.1641 loss_mask: 0.2509 loss: 0.5662 2022/08/26 16:14:29 - mmengine - INFO - Epoch(train) [20][45/125] lr: 8.0000e-02 eta: 2:29:48 time: 0.4000 data_time: 0.1245 memory: 6124 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0183 loss_cls: 0.1161 acc: 94.9707 loss_bbox: 0.1547 loss_mask: 0.2567 loss: 0.5599 2022/08/26 16:14:31 - mmengine - INFO - Epoch(train) [20][50/125] lr: 8.0000e-02 eta: 2:29:39 time: 0.4606 data_time: 0.1627 memory: 6294 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0184 loss_cls: 0.1168 acc: 96.0938 loss_bbox: 0.1463 loss_mask: 0.2604 loss: 0.5578 2022/08/26 16:14:33 - mmengine - INFO - Epoch(train) [20][55/125] lr: 8.0000e-02 eta: 2:29:39 time: 0.4372 data_time: 0.1063 memory: 7141 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0209 loss_cls: 0.1198 acc: 93.6523 loss_bbox: 0.1588 loss_mask: 0.2510 loss: 0.5666 2022/08/26 16:14:35 - mmengine - INFO - Epoch(train) [20][60/125] lr: 8.0000e-02 eta: 2:29:24 time: 0.3749 data_time: 0.0697 memory: 6051 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0187 loss_cls: 0.1138 acc: 95.8008 loss_bbox: 0.1491 loss_mask: 0.2522 loss: 0.5464 2022/08/26 16:14:37 - mmengine - INFO - Epoch(train) [20][65/125] lr: 8.0000e-02 eta: 2:29:24 time: 0.3230 data_time: 0.0572 memory: 6173 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0135 loss_cls: 0.1224 acc: 95.6055 loss_bbox: 0.1403 loss_mask: 0.2796 loss: 0.5699 2022/08/26 16:14:38 - mmengine - INFO - Epoch(train) [20][70/125] lr: 8.0000e-02 eta: 2:29:06 time: 0.3280 data_time: 0.0641 memory: 5979 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0124 loss_cls: 0.1171 acc: 98.0469 loss_bbox: 0.1308 loss_mask: 0.2792 loss: 0.5552 2022/08/26 16:14:41 - mmengine - INFO - Epoch(train) [20][75/125] lr: 8.0000e-02 eta: 2:29:06 time: 0.4646 data_time: 0.1390 memory: 6389 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0150 loss_cls: 0.1009 acc: 97.3633 loss_bbox: 0.1233 loss_mask: 0.2638 loss: 0.5211 2022/08/26 16:14:43 - mmengine - INFO - Epoch(train) [20][80/125] lr: 8.0000e-02 eta: 2:28:59 time: 0.4863 data_time: 0.1108 memory: 7286 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0229 loss_cls: 0.1162 acc: 95.3613 loss_bbox: 0.1522 loss_mask: 0.2674 loss: 0.5819 2022/08/26 16:14:45 - mmengine - INFO - Epoch(train) [20][85/125] lr: 8.0000e-02 eta: 2:28:59 time: 0.4063 data_time: 0.0722 memory: 6883 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0243 loss_cls: 0.1106 acc: 95.7764 loss_bbox: 0.1502 loss_mask: 0.2621 loss: 0.5659 2022/08/26 16:14:47 - mmengine - INFO - Epoch(train) [20][90/125] lr: 8.0000e-02 eta: 2:28:44 time: 0.3746 data_time: 0.0850 memory: 6216 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0236 loss_cls: 0.1112 acc: 95.0928 loss_bbox: 0.1472 loss_mask: 0.2605 loss: 0.5605 2022/08/26 16:14:49 - mmengine - INFO - Epoch(train) [20][95/125] lr: 8.0000e-02 eta: 2:28:44 time: 0.3367 data_time: 0.0643 memory: 6366 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0206 loss_cls: 0.1263 acc: 94.2627 loss_bbox: 0.1649 loss_mask: 0.2716 loss: 0.6038 2022/08/26 16:14:51 - mmengine - INFO - Epoch(train) [20][100/125] lr: 8.0000e-02 eta: 2:28:32 time: 0.4114 data_time: 0.1247 memory: 6806 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0166 loss_cls: 0.1182 acc: 96.3135 loss_bbox: 0.1563 loss_mask: 0.2668 loss: 0.5784 2022/08/26 16:14:53 - mmengine - INFO - Epoch(train) [20][105/125] lr: 8.0000e-02 eta: 2:28:32 time: 0.4167 data_time: 0.1242 memory: 5954 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0192 loss_cls: 0.1105 acc: 95.2637 loss_bbox: 0.1417 loss_mask: 0.2680 loss: 0.5608 2022/08/26 16:14:55 - mmengine - INFO - Epoch(train) [20][110/125] lr: 8.0000e-02 eta: 2:28:21 time: 0.4158 data_time: 0.1374 memory: 5950 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0197 loss_cls: 0.1017 acc: 97.6074 loss_bbox: 0.1326 loss_mask: 0.2654 loss: 0.5357 2022/08/26 16:14:57 - mmengine - INFO - Epoch(train) [20][115/125] lr: 8.0000e-02 eta: 2:28:21 time: 0.4006 data_time: 0.1266 memory: 6193 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0179 loss_cls: 0.1052 acc: 95.0195 loss_bbox: 0.1415 loss_mask: 0.2589 loss: 0.5371 2022/08/26 16:14:59 - mmengine - INFO - Epoch(train) [20][120/125] lr: 8.0000e-02 eta: 2:28:04 time: 0.3345 data_time: 0.0636 memory: 6006 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0144 loss_cls: 0.1117 acc: 95.6055 loss_bbox: 0.1456 loss_mask: 0.2640 loss: 0.5510 2022/08/26 16:15:01 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:15:01 - mmengine - INFO - Epoch(train) [20][125/125] lr: 8.0000e-02 eta: 2:28:04 time: 0.4172 data_time: 0.0614 memory: 5838 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0091 loss_cls: 0.0946 acc: 97.3633 loss_bbox: 0.1191 loss_mask: 0.2745 loss: 0.5094 2022/08/26 16:15:01 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/26 16:19:25 - mmengine - INFO - Epoch(val) [20][5/500] eta: 2:28:04 time: 51.2828 data_time: 44.7562 memory: 34860 2022/08/26 16:19:42 - mmengine - INFO - Epoch(val) [20][10/500] eta: 3:43:03 time: 27.3132 data_time: 22.3943 memory: 34866 2022/08/26 16:20:06 - mmengine - INFO - Epoch(val) [20][15/500] eta: 3:43:03 time: 4.1284 data_time: 0.0259 memory: 34794 2022/08/26 16:20:23 - mmengine - INFO - Epoch(val) [20][20/500] eta: 0:33:01 time: 4.1285 data_time: 0.0209 memory: 34781 2022/08/26 16:20:31 - mmengine - INFO - Epoch(val) [20][25/500] eta: 0:33:01 time: 2.4298 data_time: 0.0203 memory: 34768 2022/08/26 16:20:39 - mmengine - INFO - Epoch(val) [20][30/500] eta: 0:12:12 time: 1.5589 data_time: 0.0108 memory: 34762 2022/08/26 16:20:39 - mmengine - INFO - Epoch(val) [20][35/500] eta: 0:12:12 time: 0.8454 data_time: 0.0058 memory: 1320 2022/08/26 16:20:47 - mmengine - INFO - Epoch(val) [20][40/500] eta: 0:06:24 time: 0.8364 data_time: 0.0052 memory: 34794 2022/08/26 16:20:48 - mmengine - INFO - Epoch(val) [20][45/500] eta: 0:06:24 time: 0.8380 data_time: 0.0062 memory: 1522 2022/08/26 16:21:12 - mmengine - INFO - Epoch(val) [20][50/500] eta: 0:18:41 time: 2.4914 data_time: 0.0131 memory: 34808 2022/08/26 16:21:29 - mmengine - INFO - Epoch(val) [20][55/500] eta: 0:18:41 time: 4.1274 data_time: 0.0230 memory: 34802 2022/08/26 16:21:29 - mmengine - INFO - Epoch(val) [20][60/500] eta: 0:12:41 time: 1.7317 data_time: 0.0199 memory: 1320 2022/08/26 16:21:37 - mmengine - INFO - Epoch(val) [20][65/500] eta: 0:12:41 time: 0.7809 data_time: 0.0065 memory: 34697 2022/08/26 16:21:37 - mmengine - INFO - Epoch(val) [20][70/500] eta: 0:05:30 time: 0.7678 data_time: 0.0026 memory: 1522 2022/08/26 16:21:52 - mmengine - INFO - Epoch(val) [20][75/500] eta: 0:05:30 time: 1.5738 data_time: 0.0062 memory: 34814 2022/08/26 16:21:53 - mmengine - INFO - Epoch(val) [20][80/500] eta: 0:11:03 time: 1.5799 data_time: 0.0081 memory: 1320 2022/08/26 16:22:17 - mmengine - INFO - Epoch(val) [20][85/500] eta: 0:11:03 time: 2.4237 data_time: 0.0103 memory: 34755 2022/08/26 16:22:26 - mmengine - INFO - Epoch(val) [20][90/500] eta: 0:22:41 time: 3.3208 data_time: 0.0159 memory: 34840 2022/08/26 16:22:50 - mmengine - INFO - Epoch(val) [20][95/500] eta: 0:22:41 time: 3.3062 data_time: 0.0166 memory: 34742 2022/08/26 16:22:50 - mmengine - INFO - Epoch(val) [20][100/500] eta: 0:16:05 time: 2.4146 data_time: 0.0192 memory: 1506 2022/08/26 16:22:51 - mmengine - INFO - Epoch(val) [20][105/500] eta: 0:16:05 time: 0.0891 data_time: 0.0123 memory: 1320 2022/08/26 16:23:07 - mmengine - INFO - Epoch(val) [20][110/500] eta: 0:11:00 time: 1.6942 data_time: 0.0025 memory: 34834 2022/08/26 16:23:08 - mmengine - INFO - Epoch(val) [20][115/500] eta: 0:11:00 time: 1.7138 data_time: 0.0157 memory: 1320 2022/08/26 16:23:08 - mmengine - INFO - Epoch(val) [20][120/500] eta: 0:00:39 time: 0.1050 data_time: 0.0155 memory: 1320 2022/08/26 16:23:09 - mmengine - INFO - Epoch(val) [20][125/500] eta: 0:00:39 time: 0.0932 data_time: 0.0023 memory: 1522 2022/08/26 16:23:09 - mmengine - INFO - Epoch(val) [20][130/500] eta: 0:00:32 time: 0.0889 data_time: 0.0024 memory: 1320 2022/08/26 16:23:10 - mmengine - INFO - Epoch(val) [20][135/500] eta: 0:00:32 time: 0.0815 data_time: 0.0026 memory: 1387 2022/08/26 16:23:10 - mmengine - INFO - Epoch(val) [20][140/500] eta: 0:00:29 time: 0.0826 data_time: 0.0024 memory: 1320 2022/08/26 16:23:27 - mmengine - INFO - Epoch(val) [20][145/500] eta: 0:00:29 time: 1.7495 data_time: 0.0064 memory: 34860 2022/08/26 16:23:27 - mmengine - INFO - Epoch(val) [20][150/500] eta: 0:10:12 time: 1.7490 data_time: 0.0100 memory: 1320 2022/08/26 16:23:35 - mmengine - INFO - Epoch(val) [20][155/500] eta: 0:10:12 time: 0.7733 data_time: 0.0059 memory: 34802 2022/08/26 16:23:35 - mmengine - INFO - Epoch(val) [20][160/500] eta: 0:04:21 time: 0.7692 data_time: 0.0022 memory: 1522 2022/08/26 16:23:36 - mmengine - INFO - Epoch(val) [20][165/500] eta: 0:04:21 time: 0.0772 data_time: 0.0021 memory: 1354 2022/08/26 16:23:51 - mmengine - INFO - Epoch(val) [20][170/500] eta: 0:08:50 time: 1.6064 data_time: 0.0071 memory: 34847 2022/08/26 16:23:52 - mmengine - INFO - Epoch(val) [20][175/500] eta: 0:08:50 time: 1.6092 data_time: 0.0145 memory: 1522 2022/08/26 16:23:52 - mmengine - INFO - Epoch(val) [20][180/500] eta: 0:00:26 time: 0.0813 data_time: 0.0094 memory: 1522 2022/08/26 16:23:52 - mmengine - INFO - Epoch(val) [20][185/500] eta: 0:00:26 time: 0.0731 data_time: 0.0020 memory: 1320 2022/08/26 16:23:53 - mmengine - INFO - Epoch(val) [20][190/500] eta: 0:00:22 time: 0.0739 data_time: 0.0021 memory: 1370 2022/08/26 16:23:53 - mmengine - INFO - Epoch(val) [20][195/500] eta: 0:00:22 time: 0.0721 data_time: 0.0023 memory: 1354 2022/08/26 16:24:01 - mmengine - INFO - Epoch(val) [20][200/500] eta: 0:03:58 time: 0.7962 data_time: 0.0052 memory: 34749 2022/08/26 16:24:09 - mmengine - INFO - Epoch(val) [20][205/500] eta: 0:03:58 time: 1.5636 data_time: 0.0061 memory: 34670 2022/08/26 16:24:09 - mmengine - INFO - Epoch(val) [20][210/500] eta: 0:04:04 time: 0.8438 data_time: 0.0068 memory: 1522 2022/08/26 16:24:10 - mmengine - INFO - Epoch(val) 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0:00:19 time: 1.7149 data_time: 0.0082 memory: 34781 2022/08/26 16:24:44 - mmengine - INFO - Epoch(val) [20][260/500] eta: 0:06:51 time: 1.7147 data_time: 0.0111 memory: 1320 2022/08/26 16:24:59 - mmengine - INFO - Epoch(val) [20][265/500] eta: 0:06:51 time: 1.5589 data_time: 0.0058 memory: 34834 2022/08/26 16:25:00 - mmengine - INFO - Epoch(val) [20][270/500] eta: 0:05:59 time: 1.5635 data_time: 0.0087 memory: 1438 2022/08/26 16:25:00 - mmengine - INFO - Epoch(val) [20][275/500] eta: 0:05:59 time: 0.0880 data_time: 0.0079 memory: 1506 2022/08/26 16:25:08 - mmengine - INFO - Epoch(val) [20][280/500] eta: 0:03:05 time: 0.8450 data_time: 0.0054 memory: 34853 2022/08/26 16:25:09 - mmengine - INFO - Epoch(val) [20][285/500] eta: 0:03:05 time: 0.8396 data_time: 0.0060 memory: 1320 2022/08/26 16:25:16 - mmengine - INFO - Epoch(val) [20][290/500] eta: 0:02:50 time: 0.8121 data_time: 0.0044 memory: 34828 2022/08/26 16:25:17 - mmengine - INFO - Epoch(val) [20][295/500] eta: 0:02:50 time: 0.8123 data_time: 0.0057 memory: 1370 2022/08/26 16:25:17 - mmengine - INFO - Epoch(val) [20][300/500] eta: 0:00:15 time: 0.0765 data_time: 0.0038 memory: 1320 2022/08/26 16:25:17 - mmengine - INFO - Epoch(val) [20][305/500] eta: 0:00:15 time: 0.0713 data_time: 0.0019 memory: 1303 2022/08/26 16:25:18 - mmengine - INFO - Epoch(val) [20][310/500] eta: 0:00:12 time: 0.0645 data_time: 0.0019 memory: 1354 2022/08/26 16:25:18 - mmengine - INFO - Epoch(val) [20][315/500] eta: 0:00:12 time: 0.0710 data_time: 0.0020 memory: 1472 2022/08/26 16:25:19 - mmengine - INFO - Epoch(val) [20][320/500] eta: 0:00:14 time: 0.0797 data_time: 0.0020 memory: 1472 2022/08/26 16:25:19 - mmengine - INFO - Epoch(val) [20][325/500] eta: 0:00:14 time: 0.0789 data_time: 0.0021 memory: 1522 2022/08/26 16:25:19 - mmengine - INFO - Epoch(val) [20][330/500] eta: 0:00:13 time: 0.0789 data_time: 0.0021 memory: 1320 2022/08/26 16:25:20 - mmengine - INFO - Epoch(val) [20][335/500] eta: 0:00:13 time: 0.0781 data_time: 0.0020 memory: 1438 2022/08/26 16:25:20 - mmengine - INFO - Epoch(val) [20][340/500] eta: 0:00:12 time: 0.0759 data_time: 0.0020 memory: 1506 2022/08/26 16:25:21 - mmengine - INFO - Epoch(val) [20][345/500] eta: 0:00:12 time: 0.0954 data_time: 0.0034 memory: 1438 2022/08/26 16:25:28 - mmengine - INFO - Epoch(val) [20][350/500] eta: 0:01:58 time: 0.7903 data_time: 0.0041 memory: 34775 2022/08/26 16:25:38 - mmengine - INFO - Epoch(val) [20][355/500] eta: 0:01:58 time: 1.7025 data_time: 0.0100 memory: 34749 2022/08/26 16:25:38 - mmengine - INFO - Epoch(val) [20][360/500] eta: 0:02:21 time: 1.0103 data_time: 0.0109 memory: 1337 2022/08/26 16:25:45 - mmengine - INFO - Epoch(val) [20][365/500] eta: 0:02:21 time: 0.7713 data_time: 0.0035 memory: 34664 2022/08/26 16:25:54 - mmengine - INFO - Epoch(val) [20][370/500] eta: 0:03:30 time: 1.6168 data_time: 0.0095 memory: 34814 2022/08/26 16:25:55 - mmengine - INFO - Epoch(val) [20][375/500] eta: 0:03:30 time: 0.9199 data_time: 0.0103 memory: 1320 2022/08/26 16:25:55 - mmengine - INFO - Epoch(val) [20][380/500] eta: 0:00:09 time: 0.0754 data_time: 0.0028 memory: 1506 2022/08/26 16:25:55 - mmengine - INFO - Epoch(val) [20][385/500] eta: 0:00:09 time: 0.0787 data_time: 0.0022 memory: 1489 2022/08/26 16:25:56 - mmengine - INFO - Epoch(val) [20][390/500] eta: 0:00:08 time: 0.0786 data_time: 0.0024 memory: 1522 2022/08/26 16:25:57 - mmengine - INFO - Epoch(val) [20][395/500] eta: 0:00:08 time: 0.1187 data_time: 0.0024 memory: 1320 2022/08/26 16:25:57 - mmengine - INFO - Epoch(val) [20][400/500] eta: 0:00:12 time: 0.1217 data_time: 0.0023 memory: 1506 2022/08/26 16:25:57 - mmengine - INFO - Epoch(val) [20][405/500] eta: 0:00:12 time: 0.0786 data_time: 0.0021 memory: 1489 2022/08/26 16:25:58 - mmengine - INFO - Epoch(val) [20][410/500] eta: 0:00:06 time: 0.0727 data_time: 0.0021 memory: 1387 2022/08/26 16:25:58 - mmengine - INFO - Epoch(val) [20][415/500] eta: 0:00:06 time: 0.0850 data_time: 0.0021 memory: 1320 2022/08/26 16:25:59 - mmengine - INFO - Epoch(val) [20][420/500] eta: 0:00:07 time: 0.0939 data_time: 0.0023 memory: 1489 2022/08/26 16:25:59 - mmengine - INFO - Epoch(val) [20][425/500] eta: 0:00:07 time: 0.0885 data_time: 0.0022 memory: 1320 2022/08/26 16:25:59 - mmengine - INFO - Epoch(val) [20][430/500] eta: 0:00:05 time: 0.0747 data_time: 0.0020 memory: 1522 2022/08/26 16:26:00 - mmengine - INFO - Epoch(val) [20][435/500] eta: 0:00:05 time: 0.0737 data_time: 0.0046 memory: 1320 2022/08/26 16:26:00 - mmengine - INFO - Epoch(val) [20][440/500] eta: 0:00:04 time: 0.0788 data_time: 0.0045 memory: 1404 2022/08/26 16:26:01 - mmengine - INFO - Epoch(val) [20][445/500] eta: 0:00:04 time: 0.0737 data_time: 0.0019 memory: 1472 2022/08/26 16:26:01 - mmengine - INFO - Epoch(val) [20][450/500] eta: 0:00:03 time: 0.0673 data_time: 0.0020 memory: 1320 2022/08/26 16:26:01 - mmengine - INFO - Epoch(val) [20][455/500] eta: 0:00:03 time: 0.0690 data_time: 0.0019 memory: 1522 2022/08/26 16:26:02 - mmengine - INFO - Epoch(val) [20][460/500] eta: 0:00:02 time: 0.0708 data_time: 0.0019 memory: 1354 2022/08/26 16:26:02 - mmengine - INFO - Epoch(val) [20][465/500] eta: 0:00:02 time: 0.0702 data_time: 0.0019 memory: 1454 2022/08/26 16:26:02 - mmengine - INFO - Epoch(val) [20][470/500] eta: 0:00:02 time: 0.0705 data_time: 0.0019 memory: 1354 2022/08/26 16:26:03 - mmengine - INFO - Epoch(val) [20][475/500] eta: 0:00:02 time: 0.0710 data_time: 0.0022 memory: 1522 2022/08/26 16:26:10 - mmengine - INFO - Epoch(val) [20][480/500] eta: 0:00:15 time: 0.7693 data_time: 0.0026 memory: 34853 2022/08/26 16:26:11 - mmengine - INFO - Epoch(val) [20][485/500] eta: 0:00:15 time: 0.8247 data_time: 0.0052 memory: 1320 2022/08/26 16:26:11 - mmengine - INFO - Epoch(val) [20][490/500] eta: 0:00:01 time: 0.1335 data_time: 0.0088 memory: 1454 2022/08/26 16:26:12 - mmengine - INFO - Epoch(val) [20][495/500] eta: 0:00:01 time: 0.0815 data_time: 0.0061 memory: 1522 2022/08/26 16:26:12 - mmengine - INFO - Epoch(val) [20][500/500] eta: 0:00:00 time: 0.0724 data_time: 0.0021 memory: 1320 2022/08/26 16:26:12 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:26:12 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7964, precision: 0.3101, hmean: 0.4464 2022/08/26 16:26:12 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7672, precision: 0.3904, hmean: 0.5175 2022/08/26 16:26:12 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7301, precision: 0.4698, hmean: 0.5717 2022/08/26 16:26:12 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6761, precision: 0.5450, hmean: 0.6035 2022/08/26 16:26:12 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6068, precision: 0.6230, hmean: 0.6148 2022/08/26 16:26:12 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.4950, precision: 0.7076, hmean: 0.5825 2022/08/26 16:26:12 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.3233, precision: 0.8168, hmean: 0.4632 2022/08/26 16:26:12 - mmengine - INFO - Epoch(val) [20][500/500] icdar/precision: 0.6230 icdar/recall: 0.6068 icdar/hmean: 0.6148 2022/08/26 16:26:17 - mmengine - INFO - Epoch(train) [21][5/125] lr: 8.0000e-02 eta: 0:00:00 time: 0.6341 data_time: 0.2326 memory: 6087 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0091 loss_cls: 0.0928 acc: 96.7041 loss_bbox: 0.1192 loss_mask: 0.2857 loss: 0.5176 2022/08/26 16:26:19 - mmengine - INFO - Epoch(train) [21][10/125] lr: 8.0000e-02 eta: 2:27:45 time: 0.6093 data_time: 0.2570 memory: 7004 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0164 loss_cls: 0.1157 acc: 96.6797 loss_bbox: 0.1513 loss_mask: 0.2817 loss: 0.5829 2022/08/26 16:26:21 - mmengine - INFO - Epoch(train) [21][15/125] lr: 8.0000e-02 eta: 2:27:45 time: 0.4118 data_time: 0.1005 memory: 6236 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0208 loss_cls: 0.1153 acc: 97.5830 loss_bbox: 0.1508 loss_mask: 0.2780 loss: 0.5838 2022/08/26 16:26:23 - mmengine - INFO - Epoch(train) [21][20/125] lr: 8.0000e-02 eta: 2:27:33 time: 0.4051 data_time: 0.1221 memory: 6331 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0233 loss_cls: 0.1188 acc: 94.1895 loss_bbox: 0.1549 loss_mask: 0.2830 loss: 0.5982 2022/08/26 16:26:25 - mmengine - INFO - Epoch(train) [21][25/125] lr: 8.0000e-02 eta: 2:27:33 time: 0.3958 data_time: 0.1127 memory: 6167 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0239 loss_cls: 0.1335 acc: 95.3125 loss_bbox: 0.1750 loss_mask: 0.2774 loss: 0.6286 2022/08/26 16:26:26 - mmengine - INFO - Epoch(train) [21][30/125] lr: 8.0000e-02 eta: 2:27:18 time: 0.3571 data_time: 0.0818 memory: 6016 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0213 loss_cls: 0.1120 acc: 96.5088 loss_bbox: 0.1497 loss_mask: 0.2687 loss: 0.5660 2022/08/26 16:26:28 - mmengine - INFO - Epoch(train) [21][35/125] lr: 8.0000e-02 eta: 2:27:18 time: 0.3796 data_time: 0.0820 memory: 7711 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0222 loss_cls: 0.1146 acc: 90.4785 loss_bbox: 0.1485 loss_mask: 0.2617 loss: 0.5631 2022/08/26 16:26:30 - mmengine - INFO - Epoch(train) [21][40/125] lr: 8.0000e-02 eta: 2:27:05 time: 0.3981 data_time: 0.0798 memory: 6235 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0216 loss_cls: 0.1247 acc: 94.8975 loss_bbox: 0.1548 loss_mask: 0.2643 loss: 0.5831 2022/08/26 16:26:32 - mmengine - INFO - Epoch(train) [21][45/125] lr: 8.0000e-02 eta: 2:27:05 time: 0.3998 data_time: 0.1046 memory: 6225 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0200 loss_cls: 0.1172 acc: 95.3857 loss_bbox: 0.1416 loss_mask: 0.2641 loss: 0.5643 2022/08/26 16:26:35 - mmengine - INFO - Epoch(train) [21][50/125] lr: 8.0000e-02 eta: 2:26:55 time: 0.4283 data_time: 0.1461 memory: 6448 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0189 loss_cls: 0.1268 acc: 94.3848 loss_bbox: 0.1624 loss_mask: 0.2681 loss: 0.5975 2022/08/26 16:26:37 - mmengine - INFO - Epoch(train) [21][55/125] lr: 8.0000e-02 eta: 2:26:55 time: 0.4373 data_time: 0.1517 memory: 6206 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0152 loss_cls: 0.1245 acc: 96.1426 loss_bbox: 0.1674 loss_mask: 0.2803 loss: 0.6034 2022/08/26 16:26:39 - mmengine - INFO - Epoch(train) [21][60/125] lr: 8.0000e-02 eta: 2:26:44 time: 0.4164 data_time: 0.1192 memory: 6992 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0141 loss_cls: 0.1203 acc: 94.2139 loss_bbox: 0.1575 loss_mask: 0.2826 loss: 0.5936 2022/08/26 16:26:41 - mmengine - INFO - Epoch(train) [21][65/125] lr: 8.0000e-02 eta: 2:26:44 time: 0.3982 data_time: 0.0831 memory: 6363 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0182 loss_cls: 0.1262 acc: 96.3623 loss_bbox: 0.1601 loss_mask: 0.2740 loss: 0.6010 2022/08/26 16:26:43 - mmengine - INFO - Epoch(train) [21][70/125] lr: 8.0000e-02 eta: 2:26:32 time: 0.4032 data_time: 0.0892 memory: 6924 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0192 loss_cls: 0.1220 acc: 96.5820 loss_bbox: 0.1590 loss_mask: 0.2568 loss: 0.5762 2022/08/26 16:26:44 - mmengine - INFO - Epoch(train) [21][75/125] lr: 8.0000e-02 eta: 2:26:32 time: 0.3719 data_time: 0.0793 memory: 6248 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0158 loss_cls: 0.1103 acc: 95.8008 loss_bbox: 0.1504 loss_mask: 0.2579 loss: 0.5490 2022/08/26 16:26:46 - mmengine - INFO - Epoch(train) [21][80/125] lr: 8.0000e-02 eta: 2:26:17 time: 0.3577 data_time: 0.0570 memory: 7855 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0149 loss_cls: 0.1235 acc: 95.1660 loss_bbox: 0.1635 loss_mask: 0.2585 loss: 0.5731 2022/08/26 16:26:49 - mmengine - INFO - Epoch(train) [21][85/125] lr: 8.0000e-02 eta: 2:26:17 time: 0.4253 data_time: 0.1018 memory: 7041 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0170 loss_cls: 0.1285 acc: 96.3623 loss_bbox: 0.1753 loss_mask: 0.2630 loss: 0.5982 2022/08/26 16:26:51 - mmengine - INFO - Epoch(train) [21][90/125] lr: 8.0000e-02 eta: 2:26:08 time: 0.4413 data_time: 0.1395 memory: 6088 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0165 loss_cls: 0.1141 acc: 94.7754 loss_bbox: 0.1551 loss_mask: 0.2564 loss: 0.5590 2022/08/26 16:26:53 - mmengine - INFO - Epoch(train) [21][95/125] lr: 8.0000e-02 eta: 2:26:08 time: 0.4097 data_time: 0.1105 memory: 6243 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0184 loss_cls: 0.1138 acc: 97.1436 loss_bbox: 0.1446 loss_mask: 0.2486 loss: 0.5434 2022/08/26 16:26:54 - mmengine - INFO - Epoch(train) [21][100/125] lr: 8.0000e-02 eta: 2:25:53 time: 0.3651 data_time: 0.0695 memory: 6022 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0216 loss_cls: 0.1143 acc: 95.9473 loss_bbox: 0.1362 loss_mask: 0.2683 loss: 0.5582 2022/08/26 16:26:56 - mmengine - INFO - Epoch(train) [21][105/125] lr: 8.0000e-02 eta: 2:25:53 time: 0.3386 data_time: 0.0621 memory: 6084 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0218 loss_cls: 0.1159 acc: 95.1904 loss_bbox: 0.1367 loss_mask: 0.2813 loss: 0.5719 2022/08/26 16:26:58 - mmengine - INFO - Epoch(train) [21][110/125] lr: 8.0000e-02 eta: 2:25:42 time: 0.4021 data_time: 0.0840 memory: 6098 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0182 loss_cls: 0.1175 acc: 96.3379 loss_bbox: 0.1441 loss_mask: 0.2852 loss: 0.5796 2022/08/26 16:27:01 - mmengine - INFO - Epoch(train) [21][115/125] lr: 8.0000e-02 eta: 2:25:42 time: 0.4399 data_time: 0.1174 memory: 6215 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0139 loss_cls: 0.1084 acc: 96.6553 loss_bbox: 0.1346 loss_mask: 0.2718 loss: 0.5419 2022/08/26 16:27:02 - mmengine - INFO - Epoch(train) [21][120/125] lr: 8.0000e-02 eta: 2:25:30 time: 0.3970 data_time: 0.1154 memory: 5809 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0157 loss_cls: 0.1009 acc: 96.9727 loss_bbox: 0.1219 loss_mask: 0.2621 loss: 0.5180 2022/08/26 16:27:04 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:27:04 - mmengine - INFO - Epoch(train) [21][125/125] lr: 8.0000e-02 eta: 2:25:30 time: 0.3294 data_time: 0.0586 memory: 5922 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0138 loss_cls: 0.0975 acc: 97.4121 loss_bbox: 0.1116 loss_mask: 0.2584 loss: 0.5016 2022/08/26 16:27:08 - mmengine - INFO - Epoch(train) [22][5/125] lr: 8.0000e-02 eta: 2:25:30 time: 0.5726 data_time: 0.2841 memory: 6868 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0227 loss_cls: 0.1066 acc: 92.7246 loss_bbox: 0.1340 loss_mask: 0.2433 loss: 0.5241 2022/08/26 16:27:10 - mmengine - INFO - Epoch(train) [22][10/125] lr: 8.0000e-02 eta: 2:25:13 time: 0.6076 data_time: 0.3117 memory: 6242 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0252 loss_cls: 0.1248 acc: 95.7764 loss_bbox: 0.1594 loss_mask: 0.2468 loss: 0.5706 2022/08/26 16:27:12 - mmengine - INFO - Epoch(train) [22][15/125] lr: 8.0000e-02 eta: 2:25:13 time: 0.4054 data_time: 0.1234 memory: 6263 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0160 loss_cls: 0.1277 acc: 95.2148 loss_bbox: 0.1493 loss_mask: 0.2633 loss: 0.5731 2022/08/26 16:27:14 - mmengine - INFO - Epoch(train) [22][20/125] lr: 8.0000e-02 eta: 2:25:01 time: 0.4061 data_time: 0.1279 memory: 6134 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0162 loss_cls: 0.1253 acc: 96.2402 loss_bbox: 0.1452 loss_mask: 0.2786 loss: 0.5838 2022/08/26 16:27:16 - mmengine - INFO - Epoch(train) [22][25/125] lr: 8.0000e-02 eta: 2:25:01 time: 0.3565 data_time: 0.0861 memory: 5939 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0157 loss_cls: 0.1114 acc: 97.1924 loss_bbox: 0.1256 loss_mask: 0.2733 loss: 0.5401 2022/08/26 16:27:18 - mmengine - INFO - Epoch(train) [22][30/125] lr: 8.0000e-02 eta: 2:24:49 time: 0.3946 data_time: 0.0930 memory: 6814 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0165 loss_cls: 0.1070 acc: 95.6787 loss_bbox: 0.1243 loss_mask: 0.2635 loss: 0.5266 2022/08/26 16:27:20 - mmengine - INFO - Epoch(train) [22][35/125] lr: 8.0000e-02 eta: 2:24:49 time: 0.4488 data_time: 0.1012 memory: 6087 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0157 loss_cls: 0.1094 acc: 96.1426 loss_bbox: 0.1398 loss_mask: 0.2641 loss: 0.5432 2022/08/26 16:27:23 - mmengine - INFO - Epoch(train) [22][40/125] lr: 8.0000e-02 eta: 2:24:41 time: 0.4570 data_time: 0.1293 memory: 6245 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0164 loss_cls: 0.1133 acc: 95.3857 loss_bbox: 0.1498 loss_mask: 0.2658 loss: 0.5581 2022/08/26 16:27:25 - mmengine - INFO - Epoch(train) [22][45/125] lr: 8.0000e-02 eta: 2:24:41 time: 0.4183 data_time: 0.1358 memory: 6232 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0199 loss_cls: 0.1214 acc: 95.2637 loss_bbox: 0.1633 loss_mask: 0.2732 loss: 0.5949 2022/08/26 16:27:27 - mmengine - INFO - Epoch(train) [22][50/125] lr: 8.0000e-02 eta: 2:24:32 time: 0.4413 data_time: 0.1507 memory: 7102 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0187 loss_cls: 0.1193 acc: 92.5781 loss_bbox: 0.1574 loss_mask: 0.2737 loss: 0.5864 2022/08/26 16:27:29 - mmengine - INFO - Epoch(train) [22][55/125] lr: 8.0000e-02 eta: 2:24:32 time: 0.4222 data_time: 0.1291 memory: 6140 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0162 loss_cls: 0.1169 acc: 95.9473 loss_bbox: 0.1486 loss_mask: 0.2763 loss: 0.5732 2022/08/26 16:27:31 - mmengine - INFO - Epoch(train) [22][60/125] lr: 8.0000e-02 eta: 2:24:17 time: 0.3449 data_time: 0.0681 memory: 6170 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0177 loss_cls: 0.1164 acc: 95.3857 loss_bbox: 0.1400 loss_mask: 0.2593 loss: 0.5478 2022/08/26 16:27:33 - mmengine - INFO - Epoch(train) [22][65/125] lr: 8.0000e-02 eta: 2:24:17 time: 0.4029 data_time: 0.1259 memory: 6171 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0151 loss_cls: 0.1117 acc: 97.3877 loss_bbox: 0.1353 loss_mask: 0.2484 loss: 0.5245 2022/08/26 16:27:35 - mmengine - INFO - Epoch(train) [22][70/125] lr: 8.0000e-02 eta: 2:24:09 time: 0.4449 data_time: 0.1387 memory: 7060 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0135 loss_cls: 0.1186 acc: 93.5059 loss_bbox: 0.1544 loss_mask: 0.2567 loss: 0.5605 2022/08/26 16:27:37 - mmengine - INFO - Epoch(train) [22][75/125] lr: 8.0000e-02 eta: 2:24:09 time: 0.4148 data_time: 0.0911 memory: 7045 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0162 loss_cls: 0.1302 acc: 97.3389 loss_bbox: 0.1637 loss_mask: 0.2649 loss: 0.5953 2022/08/26 16:27:39 - mmengine - INFO - Epoch(train) [22][80/125] lr: 8.0000e-02 eta: 2:23:55 time: 0.3599 data_time: 0.0651 memory: 6227 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0163 loss_cls: 0.1254 acc: 93.6768 loss_bbox: 0.1495 loss_mask: 0.2700 loss: 0.5816 2022/08/26 16:27:42 - mmengine - INFO - Epoch(train) [22][85/125] lr: 8.0000e-02 eta: 2:23:55 time: 0.4886 data_time: 0.1094 memory: 6200 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0189 loss_cls: 0.1146 acc: 96.0205 loss_bbox: 0.1523 loss_mask: 0.2576 loss: 0.5610 2022/08/26 16:27:44 - mmengine - INFO - Epoch(train) [22][90/125] lr: 8.0000e-02 eta: 2:23:52 time: 0.5317 data_time: 0.1301 memory: 6912 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0197 loss_cls: 0.1169 acc: 94.4092 loss_bbox: 0.1642 loss_mask: 0.2680 loss: 0.5855 2022/08/26 16:27:45 - mmengine - INFO - Epoch(train) [22][95/125] lr: 8.0000e-02 eta: 2:23:52 time: 0.3548 data_time: 0.0539 memory: 6234 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0148 loss_cls: 0.1216 acc: 95.4834 loss_bbox: 0.1582 loss_mask: 0.2764 loss: 0.5868 2022/08/26 16:27:47 - mmengine - INFO - Epoch(train) [22][100/125] lr: 8.0000e-02 eta: 2:23:36 time: 0.3328 data_time: 0.0595 memory: 6291 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0115 loss_cls: 0.1157 acc: 96.2891 loss_bbox: 0.1481 loss_mask: 0.2643 loss: 0.5524 2022/08/26 16:27:49 - mmengine - INFO - Epoch(train) [22][105/125] lr: 8.0000e-02 eta: 2:23:36 time: 0.3275 data_time: 0.0636 memory: 6134 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0099 loss_cls: 0.1128 acc: 94.2139 loss_bbox: 0.1415 loss_mask: 0.2615 loss: 0.5378 2022/08/26 16:27:51 - mmengine - INFO - Epoch(train) [22][110/125] lr: 8.0000e-02 eta: 2:23:24 time: 0.3851 data_time: 0.1036 memory: 6337 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0114 loss_cls: 0.1169 acc: 94.6289 loss_bbox: 0.1438 loss_mask: 0.2787 loss: 0.5643 2022/08/26 16:27:53 - mmengine - INFO - Epoch(train) [22][115/125] lr: 8.0000e-02 eta: 2:23:24 time: 0.4555 data_time: 0.1388 memory: 6216 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0142 loss_cls: 0.1148 acc: 96.3135 loss_bbox: 0.1440 loss_mask: 0.2732 loss: 0.5624 2022/08/26 16:27:57 - mmengine - INFO - Epoch(train) [22][120/125] lr: 8.0000e-02 eta: 2:23:22 time: 0.5456 data_time: 0.2201 memory: 6113 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0182 loss_cls: 0.1162 acc: 93.6035 loss_bbox: 0.1451 loss_mask: 0.2601 loss: 0.5596 2022/08/26 16:27:58 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:27:58 - mmengine - INFO - Epoch(train) [22][125/125] lr: 8.0000e-02 eta: 2:23:22 time: 0.4934 data_time: 0.1906 memory: 6196 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0222 loss_cls: 0.1148 acc: 96.6309 loss_bbox: 0.1514 loss_mask: 0.2663 loss: 0.5774 2022/08/26 16:28:02 - mmengine - INFO - Epoch(train) [23][5/125] lr: 8.0000e-02 eta: 2:23:22 time: 0.5406 data_time: 0.2576 memory: 6028 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0178 loss_cls: 0.1082 acc: 94.9951 loss_bbox: 0.1397 loss_mask: 0.2789 loss: 0.5647 2022/08/26 16:28:04 - mmengine - INFO - Epoch(train) [23][10/125] lr: 8.0000e-02 eta: 2:23:03 time: 0.5523 data_time: 0.2695 memory: 6340 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0195 loss_cls: 0.1226 acc: 95.8008 loss_bbox: 0.1590 loss_mask: 0.2823 loss: 0.6028 2022/08/26 16:28:06 - mmengine - INFO - Epoch(train) [23][15/125] lr: 8.0000e-02 eta: 2:23:03 time: 0.4033 data_time: 0.1238 memory: 6144 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0219 loss_cls: 0.1169 acc: 95.3613 loss_bbox: 0.1598 loss_mask: 0.2529 loss: 0.5677 2022/08/26 16:28:08 - mmengine - INFO - Epoch(train) [23][20/125] lr: 8.0000e-02 eta: 2:22:52 time: 0.4145 data_time: 0.1415 memory: 6009 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0142 loss_cls: 0.1031 acc: 96.8750 loss_bbox: 0.1364 loss_mask: 0.2543 loss: 0.5197 2022/08/26 16:28:10 - mmengine - INFO - Epoch(train) [23][25/125] lr: 8.0000e-02 eta: 2:22:52 time: 0.4063 data_time: 0.1131 memory: 6961 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0162 loss_cls: 0.1112 acc: 96.3379 loss_bbox: 0.1554 loss_mask: 0.2736 loss: 0.5687 2022/08/26 16:28:13 - mmengine - INFO - Epoch(train) [23][30/125] lr: 8.0000e-02 eta: 2:22:46 time: 0.4737 data_time: 0.1196 memory: 6281 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0248 loss_cls: 0.1177 acc: 94.9219 loss_bbox: 0.1644 loss_mask: 0.2610 loss: 0.5855 2022/08/26 16:28:15 - mmengine - INFO - Epoch(train) [23][35/125] lr: 8.0000e-02 eta: 2:22:46 time: 0.4446 data_time: 0.1103 memory: 5947 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0213 loss_cls: 0.1154 acc: 95.1904 loss_bbox: 0.1405 loss_mask: 0.2532 loss: 0.5523 2022/08/26 16:28:17 - mmengine - INFO - Epoch(train) [23][40/125] lr: 8.0000e-02 eta: 2:22:34 time: 0.3843 data_time: 0.1059 memory: 6111 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0180 loss_cls: 0.1074 acc: 96.9971 loss_bbox: 0.1297 loss_mask: 0.2628 loss: 0.5359 2022/08/26 16:28:18 - mmengine - INFO - Epoch(train) [23][45/125] lr: 8.0000e-02 eta: 2:22:34 time: 0.3628 data_time: 0.0814 memory: 6204 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0256 loss_cls: 0.1029 acc: 94.9463 loss_bbox: 0.1266 loss_mask: 0.2602 loss: 0.5315 2022/08/26 16:28:22 - mmengine - INFO - Epoch(train) [23][50/125] lr: 8.0000e-02 eta: 2:22:32 time: 0.5484 data_time: 0.1974 memory: 6226 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0263 loss_cls: 0.1100 acc: 93.9453 loss_bbox: 0.1348 loss_mask: 0.2688 loss: 0.5592 2022/08/26 16:28:24 - mmengine - INFO - Epoch(train) [23][55/125] lr: 8.0000e-02 eta: 2:22:32 time: 0.5325 data_time: 0.1874 memory: 6389 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0189 loss_cls: 0.1075 acc: 97.2168 loss_bbox: 0.1444 loss_mask: 0.2735 loss: 0.5637 2022/08/26 16:28:25 - mmengine - INFO - Epoch(train) [23][60/125] lr: 8.0000e-02 eta: 2:22:17 time: 0.3289 data_time: 0.0559 memory: 6232 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0150 loss_cls: 0.0979 acc: 97.8027 loss_bbox: 0.1342 loss_mask: 0.2698 loss: 0.5325 2022/08/26 16:28:28 - mmengine - INFO - Epoch(train) [23][65/125] lr: 8.0000e-02 eta: 2:22:17 time: 0.4786 data_time: 0.1153 memory: 7016 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0205 loss_cls: 0.1081 acc: 96.1914 loss_bbox: 0.1387 loss_mask: 0.2636 loss: 0.5501 2022/08/26 16:28:30 - mmengine - INFO - Epoch(train) [23][70/125] lr: 8.0000e-02 eta: 2:22:10 time: 0.4681 data_time: 0.1069 memory: 6058 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0209 loss_cls: 0.1084 acc: 94.7510 loss_bbox: 0.1344 loss_mask: 0.2497 loss: 0.5344 2022/08/26 16:28:32 - mmengine - INFO - Epoch(train) [23][75/125] lr: 8.0000e-02 eta: 2:22:10 time: 0.3467 data_time: 0.0655 memory: 6291 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0150 loss_cls: 0.0939 acc: 96.6797 loss_bbox: 0.1192 loss_mask: 0.2403 loss: 0.4838 2022/08/26 16:28:33 - mmengine - INFO - Epoch(train) [23][80/125] lr: 8.0000e-02 eta: 2:21:56 time: 0.3515 data_time: 0.0688 memory: 6164 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0162 loss_cls: 0.0996 acc: 97.1436 loss_bbox: 0.1290 loss_mask: 0.2480 loss: 0.5115 2022/08/26 16:28:35 - mmengine - INFO - Epoch(train) [23][85/125] lr: 8.0000e-02 eta: 2:21:56 time: 0.3521 data_time: 0.0788 memory: 6170 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0148 loss_cls: 0.1064 acc: 96.3623 loss_bbox: 0.1358 loss_mask: 0.2715 loss: 0.5489 2022/08/26 16:28:37 - mmengine - INFO - Epoch(train) [23][90/125] lr: 8.0000e-02 eta: 2:21:45 time: 0.3883 data_time: 0.0921 memory: 7406 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0141 loss_cls: 0.1079 acc: 96.7773 loss_bbox: 0.1408 loss_mask: 0.2714 loss: 0.5511 2022/08/26 16:28:39 - mmengine - INFO - Epoch(train) [23][95/125] lr: 8.0000e-02 eta: 2:21:45 time: 0.3741 data_time: 0.0770 memory: 6103 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0151 loss_cls: 0.1172 acc: 94.3604 loss_bbox: 0.1467 loss_mask: 0.2787 loss: 0.5755 2022/08/26 16:28:42 - mmengine - INFO - Epoch(train) [23][100/125] lr: 8.0000e-02 eta: 2:21:38 time: 0.4615 data_time: 0.1274 memory: 6081 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0162 loss_cls: 0.1161 acc: 95.4102 loss_bbox: 0.1367 loss_mask: 0.2971 loss: 0.5834 2022/08/26 16:28:44 - mmengine - INFO - Epoch(train) [23][105/125] lr: 8.0000e-02 eta: 2:21:38 time: 0.4705 data_time: 0.1384 memory: 6117 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0166 loss_cls: 0.1052 acc: 94.4824 loss_bbox: 0.1294 loss_mask: 0.2799 loss: 0.5469 2022/08/26 16:28:46 - mmengine - INFO - Epoch(train) [23][110/125] lr: 8.0000e-02 eta: 2:21:24 time: 0.3519 data_time: 0.0781 memory: 5997 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0153 loss_cls: 0.1005 acc: 96.4844 loss_bbox: 0.1295 loss_mask: 0.2527 loss: 0.5130 2022/08/26 16:28:47 - mmengine - INFO - Epoch(train) [23][115/125] lr: 8.0000e-02 eta: 2:21:24 time: 0.3698 data_time: 0.0918 memory: 6265 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0168 loss_cls: 0.1091 acc: 95.7275 loss_bbox: 0.1428 loss_mask: 0.2476 loss: 0.5334 2022/08/26 16:28:50 - mmengine - INFO - Epoch(train) [23][120/125] lr: 8.0000e-02 eta: 2:21:14 time: 0.4029 data_time: 0.1072 memory: 7304 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0175 loss_cls: 0.1210 acc: 96.7529 loss_bbox: 0.1630 loss_mask: 0.2546 loss: 0.5746 2022/08/26 16:28:51 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:28:51 - mmengine - INFO - Epoch(train) [23][125/125] lr: 8.0000e-02 eta: 2:21:14 time: 0.3758 data_time: 0.0656 memory: 6229 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0149 loss_cls: 0.1184 acc: 94.9707 loss_bbox: 0.1640 loss_mask: 0.2517 loss: 0.5635 2022/08/26 16:28:55 - mmengine - INFO - Epoch(train) [24][5/125] lr: 8.0000e-02 eta: 2:21:14 time: 0.5500 data_time: 0.2591 memory: 5950 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0152 loss_cls: 0.1011 acc: 96.3135 loss_bbox: 0.1384 loss_mask: 0.2555 loss: 0.5229 2022/08/26 16:28:58 - mmengine - INFO - Epoch(train) [24][10/125] lr: 8.0000e-02 eta: 2:21:00 time: 0.6397 data_time: 0.3448 memory: 7077 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0187 loss_cls: 0.1049 acc: 97.3877 loss_bbox: 0.1387 loss_mask: 0.2552 loss: 0.5430 2022/08/26 16:29:00 - mmengine - INFO - Epoch(train) [24][15/125] lr: 8.0000e-02 eta: 2:21:00 time: 0.4401 data_time: 0.1460 memory: 6025 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0169 loss_cls: 0.1135 acc: 96.3379 loss_bbox: 0.1352 loss_mask: 0.2455 loss: 0.5380 2022/08/26 16:29:01 - mmengine - INFO - Epoch(train) [24][20/125] lr: 8.0000e-02 eta: 2:20:47 time: 0.3573 data_time: 0.0817 memory: 6019 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0124 loss_cls: 0.1097 acc: 96.3867 loss_bbox: 0.1254 loss_mask: 0.2601 loss: 0.5234 2022/08/26 16:29:04 - mmengine - INFO - Epoch(train) [24][25/125] lr: 8.0000e-02 eta: 2:20:47 time: 0.4561 data_time: 0.1611 memory: 6932 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0172 loss_cls: 0.1274 acc: 97.0947 loss_bbox: 0.1565 loss_mask: 0.2710 loss: 0.5926 2022/08/26 16:29:06 - mmengine - INFO - Epoch(train) [24][30/125] lr: 8.0000e-02 eta: 2:20:39 time: 0.4414 data_time: 0.1432 memory: 6588 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0206 loss_cls: 0.1366 acc: 96.5576 loss_bbox: 0.1736 loss_mask: 0.2703 loss: 0.6264 2022/08/26 16:29:08 - mmengine - INFO - Epoch(train) [24][35/125] lr: 8.0000e-02 eta: 2:20:39 time: 0.3522 data_time: 0.0484 memory: 6320 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0178 loss_cls: 0.1245 acc: 95.7031 loss_bbox: 0.1616 loss_mask: 0.2606 loss: 0.5838 2022/08/26 16:29:09 - mmengine - INFO - Epoch(train) [24][40/125] lr: 8.0000e-02 eta: 2:20:27 time: 0.3628 data_time: 0.0650 memory: 6303 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0164 loss_cls: 0.1114 acc: 96.5820 loss_bbox: 0.1521 loss_mask: 0.2504 loss: 0.5459 2022/08/26 16:29:12 - mmengine - INFO - Epoch(train) [24][45/125] lr: 8.0000e-02 eta: 2:20:27 time: 0.4396 data_time: 0.1641 memory: 6209 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0161 loss_cls: 0.1116 acc: 97.3389 loss_bbox: 0.1506 loss_mask: 0.2505 loss: 0.5477 2022/08/26 16:29:14 - mmengine - INFO - Epoch(train) [24][50/125] lr: 8.0000e-02 eta: 2:20:19 time: 0.4471 data_time: 0.1675 memory: 6377 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0199 loss_cls: 0.1224 acc: 94.2627 loss_bbox: 0.1535 loss_mask: 0.2570 loss: 0.5712 2022/08/26 16:29:15 - mmengine - INFO - Epoch(train) [24][55/125] lr: 8.0000e-02 eta: 2:20:19 time: 0.3419 data_time: 0.0653 memory: 6313 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0187 loss_cls: 0.1254 acc: 93.8721 loss_bbox: 0.1588 loss_mask: 0.2464 loss: 0.5651 2022/08/26 16:29:18 - mmengine - INFO - Epoch(train) [24][60/125] lr: 8.0000e-02 eta: 2:20:08 time: 0.3868 data_time: 0.0783 memory: 6330 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0176 loss_cls: 0.1259 acc: 96.2158 loss_bbox: 0.1719 loss_mask: 0.2479 loss: 0.5795 2022/08/26 16:29:20 - mmengine - INFO - Epoch(train) [24][65/125] lr: 8.0000e-02 eta: 2:20:08 time: 0.4085 data_time: 0.0875 memory: 6771 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0172 loss_cls: 0.1225 acc: 96.0938 loss_bbox: 0.1668 loss_mask: 0.2533 loss: 0.5766 2022/08/26 16:29:22 - mmengine - INFO - Epoch(train) [24][70/125] lr: 8.0000e-02 eta: 2:19:58 time: 0.4115 data_time: 0.1221 memory: 6304 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0120 loss_cls: 0.1087 acc: 94.1406 loss_bbox: 0.1395 loss_mask: 0.2521 loss: 0.5256 2022/08/26 16:29:24 - mmengine - INFO - Epoch(train) [24][75/125] lr: 8.0000e-02 eta: 2:19:58 time: 0.4248 data_time: 0.1413 memory: 6343 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0143 loss_cls: 0.1126 acc: 96.6553 loss_bbox: 0.1519 loss_mask: 0.2600 loss: 0.5523 2022/08/26 16:29:26 - mmengine - INFO - Epoch(train) [24][80/125] lr: 8.0000e-02 eta: 2:19:47 time: 0.3736 data_time: 0.0974 memory: 6003 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0158 loss_cls: 0.1204 acc: 95.7031 loss_bbox: 0.1529 loss_mask: 0.2736 loss: 0.5797 2022/08/26 16:29:29 - mmengine - INFO - Epoch(train) [24][85/125] lr: 8.0000e-02 eta: 2:19:47 time: 0.4714 data_time: 0.1649 memory: 7332 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0169 loss_cls: 0.1214 acc: 93.4814 loss_bbox: 0.1577 loss_mask: 0.2794 loss: 0.5947 2022/08/26 16:29:32 - mmengine - INFO - Epoch(train) [24][90/125] lr: 8.0000e-02 eta: 2:19:50 time: 0.6411 data_time: 0.2900 memory: 6369 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0208 loss_cls: 0.1315 acc: 95.2393 loss_bbox: 0.1746 loss_mask: 0.2737 loss: 0.6216 2022/08/26 16:29:35 - mmengine - INFO - Epoch(train) [24][95/125] lr: 8.0000e-02 eta: 2:19:50 time: 0.6230 data_time: 0.3129 memory: 6032 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0155 loss_cls: 0.1121 acc: 96.5088 loss_bbox: 0.1414 loss_mask: 0.2588 loss: 0.5449 2022/08/26 16:29:36 - mmengine - INFO - Epoch(train) [24][100/125] lr: 8.0000e-02 eta: 2:19:42 time: 0.4280 data_time: 0.1622 memory: 6271 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0131 loss_cls: 0.1037 acc: 95.1660 loss_bbox: 0.1340 loss_mask: 0.2542 loss: 0.5206 2022/08/26 16:29:40 - mmengine - INFO - Epoch(train) [24][105/125] lr: 8.0000e-02 eta: 2:19:42 time: 0.4856 data_time: 0.2154 memory: 6177 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0161 loss_cls: 0.1054 acc: 96.9238 loss_bbox: 0.1422 loss_mask: 0.2506 loss: 0.5299 2022/08/26 16:29:42 - mmengine - INFO - Epoch(train) [24][110/125] lr: 8.0000e-02 eta: 2:19:40 time: 0.5437 data_time: 0.2230 memory: 6104 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0151 loss_cls: 0.1012 acc: 96.1914 loss_bbox: 0.1313 loss_mask: 0.2293 loss: 0.4894 2022/08/26 16:29:43 - mmengine - INFO - Epoch(train) [24][115/125] lr: 8.0000e-02 eta: 2:19:40 time: 0.3717 data_time: 0.0494 memory: 6321 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0152 loss_cls: 0.1090 acc: 95.6299 loss_bbox: 0.1313 loss_mask: 0.2402 loss: 0.5068 2022/08/26 16:29:45 - mmengine - INFO - Epoch(train) [24][120/125] lr: 8.0000e-02 eta: 2:19:28 time: 0.3777 data_time: 0.0992 memory: 6470 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0183 loss_cls: 0.1076 acc: 95.4834 loss_bbox: 0.1376 loss_mask: 0.2436 loss: 0.5197 2022/08/26 16:29:47 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:29:47 - mmengine - INFO - Epoch(train) [24][125/125] lr: 8.0000e-02 eta: 2:19:28 time: 0.3656 data_time: 0.0943 memory: 5973 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0175 loss_cls: 0.1038 acc: 96.6797 loss_bbox: 0.1320 loss_mask: 0.2597 loss: 0.5285 2022/08/26 16:29:50 - mmengine - INFO - Epoch(train) [25][5/125] lr: 8.0000e-02 eta: 2:19:28 time: 0.4201 data_time: 0.1494 memory: 6207 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0139 loss_cls: 0.1137 acc: 96.0205 loss_bbox: 0.1278 loss_mask: 0.2725 loss: 0.5438 2022/08/26 16:29:52 - mmengine - INFO - Epoch(train) [25][10/125] lr: 8.0000e-02 eta: 2:19:06 time: 0.4768 data_time: 0.1890 memory: 6118 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0135 loss_cls: 0.1274 acc: 93.8232 loss_bbox: 0.1431 loss_mask: 0.2709 loss: 0.5714 2022/08/26 16:29:54 - mmengine - INFO - Epoch(train) [25][15/125] lr: 8.0000e-02 eta: 2:19:06 time: 0.3987 data_time: 0.1160 memory: 5996 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0144 loss_cls: 0.1164 acc: 98.0957 loss_bbox: 0.1358 loss_mask: 0.2738 loss: 0.5561 2022/08/26 16:29:56 - mmengine - INFO - Epoch(train) [25][20/125] lr: 8.0000e-02 eta: 2:18:55 time: 0.3834 data_time: 0.1089 memory: 6389 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0177 loss_cls: 0.1102 acc: 95.2881 loss_bbox: 0.1323 loss_mask: 0.2591 loss: 0.5355 2022/08/26 16:29:58 - mmengine - INFO - Epoch(train) [25][25/125] lr: 8.0000e-02 eta: 2:18:55 time: 0.4120 data_time: 0.1180 memory: 7053 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0218 loss_cls: 0.1072 acc: 96.6064 loss_bbox: 0.1414 loss_mask: 0.2489 loss: 0.5365 2022/08/26 16:30:00 - mmengine - INFO - Epoch(train) [25][30/125] lr: 8.0000e-02 eta: 2:18:47 time: 0.4398 data_time: 0.1167 memory: 6493 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0231 loss_cls: 0.1054 acc: 96.8506 loss_bbox: 0.1444 loss_mask: 0.2402 loss: 0.5298 2022/08/26 16:30:02 - mmengine - INFO - Epoch(train) [25][35/125] lr: 8.0000e-02 eta: 2:18:47 time: 0.4521 data_time: 0.1403 memory: 6389 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0179 loss_cls: 0.1169 acc: 96.7041 loss_bbox: 0.1533 loss_mask: 0.2481 loss: 0.5515 2022/08/26 16:30:05 - mmengine - INFO - Epoch(train) [25][40/125] lr: 8.0000e-02 eta: 2:18:40 time: 0.4418 data_time: 0.1645 memory: 6207 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0150 loss_cls: 0.1119 acc: 96.6309 loss_bbox: 0.1486 loss_mask: 0.2566 loss: 0.5468 2022/08/26 16:30:07 - mmengine - INFO - Epoch(train) [25][45/125] lr: 8.0000e-02 eta: 2:18:40 time: 0.4395 data_time: 0.1460 memory: 7277 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0166 loss_cls: 0.1080 acc: 93.1396 loss_bbox: 0.1463 loss_mask: 0.2506 loss: 0.5415 2022/08/26 16:30:08 - mmengine - INFO - Epoch(train) [25][50/125] lr: 8.0000e-02 eta: 2:18:29 time: 0.3917 data_time: 0.1003 memory: 6369 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0166 loss_cls: 0.1112 acc: 97.6318 loss_bbox: 0.1464 loss_mask: 0.2571 loss: 0.5526 2022/08/26 16:30:12 - mmengine - INFO - Epoch(train) [25][55/125] lr: 8.0000e-02 eta: 2:18:29 time: 0.5406 data_time: 0.1161 memory: 7146 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0185 loss_cls: 0.1106 acc: 94.9463 loss_bbox: 0.1557 loss_mask: 0.2627 loss: 0.5662 2022/08/26 16:30:14 - mmengine - INFO - Epoch(train) [25][60/125] lr: 8.0000e-02 eta: 2:18:30 time: 0.5841 data_time: 0.1459 memory: 6206 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0159 loss_cls: 0.1022 acc: 95.9229 loss_bbox: 0.1438 loss_mask: 0.2458 loss: 0.5241 2022/08/26 16:30:16 - mmengine - INFO - Epoch(train) [25][65/125] lr: 8.0000e-02 eta: 2:18:30 time: 0.3754 data_time: 0.0918 memory: 6575 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0158 loss_cls: 0.1033 acc: 94.9951 loss_bbox: 0.1405 loss_mask: 0.2399 loss: 0.5132 2022/08/26 16:30:18 - mmengine - INFO - Epoch(train) [25][70/125] lr: 8.0000e-02 eta: 2:18:18 time: 0.3614 data_time: 0.0903 memory: 6130 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0168 loss_cls: 0.1080 acc: 96.4111 loss_bbox: 0.1502 loss_mask: 0.2565 loss: 0.5475 2022/08/26 16:30:20 - mmengine - INFO - Epoch(train) [25][75/125] lr: 8.0000e-02 eta: 2:18:18 time: 0.3885 data_time: 0.0999 memory: 6870 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0139 loss_cls: 0.1078 acc: 96.5088 loss_bbox: 0.1452 loss_mask: 0.2695 loss: 0.5545 2022/08/26 16:30:22 - mmengine - INFO - Epoch(train) [25][80/125] lr: 8.0000e-02 eta: 2:18:06 time: 0.3730 data_time: 0.0791 memory: 6111 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0146 loss_cls: 0.1042 acc: 96.3867 loss_bbox: 0.1437 loss_mask: 0.2712 loss: 0.5478 2022/08/26 16:30:23 - mmengine - INFO - Epoch(train) [25][85/125] lr: 8.0000e-02 eta: 2:18:06 time: 0.3458 data_time: 0.0698 memory: 6303 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0167 loss_cls: 0.0951 acc: 97.0459 loss_bbox: 0.1308 loss_mask: 0.2455 loss: 0.4991 2022/08/26 16:30:25 - mmengine - INFO - Epoch(train) [25][90/125] lr: 8.0000e-02 eta: 2:17:55 time: 0.3678 data_time: 0.0978 memory: 5947 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0142 loss_cls: 0.0956 acc: 97.4365 loss_bbox: 0.1234 loss_mask: 0.2674 loss: 0.5130 2022/08/26 16:30:29 - mmengine - INFO - Epoch(train) [25][95/125] lr: 8.0000e-02 eta: 2:17:55 time: 0.5372 data_time: 0.2472 memory: 7253 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0159 loss_cls: 0.1060 acc: 93.4326 loss_bbox: 0.1373 loss_mask: 0.2889 loss: 0.5601 2022/08/26 16:30:31 - mmengine - INFO - Epoch(train) [25][100/125] lr: 8.0000e-02 eta: 2:17:52 time: 0.5392 data_time: 0.2458 memory: 6090 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0157 loss_cls: 0.1057 acc: 95.4102 loss_bbox: 0.1405 loss_mask: 0.2584 loss: 0.5307 2022/08/26 16:30:33 - mmengine - INFO - Epoch(train) [25][105/125] lr: 8.0000e-02 eta: 2:17:52 time: 0.4439 data_time: 0.1225 memory: 6089 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0136 loss_cls: 0.0980 acc: 97.5830 loss_bbox: 0.1325 loss_mask: 0.2472 loss: 0.5046 2022/08/26 16:30:35 - mmengine - INFO - Epoch(train) [25][110/125] lr: 8.0000e-02 eta: 2:17:44 time: 0.4287 data_time: 0.0936 memory: 6733 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0152 loss_cls: 0.1057 acc: 96.1914 loss_bbox: 0.1434 loss_mask: 0.2614 loss: 0.5403 2022/08/26 16:30:37 - mmengine - INFO - Epoch(train) [25][115/125] lr: 8.0000e-02 eta: 2:17:44 time: 0.3477 data_time: 0.0626 memory: 6239 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0137 loss_cls: 0.1172 acc: 97.8516 loss_bbox: 0.1534 loss_mask: 0.2693 loss: 0.5694 2022/08/26 16:30:39 - mmengine - INFO - Epoch(train) [25][120/125] lr: 8.0000e-02 eta: 2:17:33 time: 0.3634 data_time: 0.0944 memory: 6422 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0155 loss_cls: 0.1211 acc: 95.8740 loss_bbox: 0.1560 loss_mask: 0.2544 loss: 0.5633 2022/08/26 16:30:40 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:30:40 - mmengine - INFO - Epoch(train) [25][125/125] lr: 8.0000e-02 eta: 2:17:33 time: 0.3648 data_time: 0.0985 memory: 6305 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0154 loss_cls: 0.1106 acc: 95.0195 loss_bbox: 0.1455 loss_mask: 0.2674 loss: 0.5559 2022/08/26 16:30:44 - mmengine - INFO - Epoch(train) [26][5/125] lr: 8.0000e-02 eta: 2:17:33 time: 0.4582 data_time: 0.1897 memory: 6147 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0144 loss_cls: 0.1000 acc: 96.4844 loss_bbox: 0.1324 loss_mask: 0.2737 loss: 0.5398 2022/08/26 16:30:46 - mmengine - INFO - Epoch(train) [26][10/125] lr: 8.0000e-02 eta: 2:17:14 time: 0.5324 data_time: 0.2552 memory: 6222 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0173 loss_cls: 0.1099 acc: 95.5322 loss_bbox: 0.1408 loss_mask: 0.2580 loss: 0.5444 2022/08/26 16:30:49 - mmengine - INFO - Epoch(train) [26][15/125] lr: 8.0000e-02 eta: 2:17:14 time: 0.5170 data_time: 0.1954 memory: 7590 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0190 loss_cls: 0.1317 acc: 93.2617 loss_bbox: 0.1765 loss_mask: 0.2518 loss: 0.5956 2022/08/26 16:30:50 - mmengine - INFO - Epoch(train) [26][20/125] lr: 8.0000e-02 eta: 2:17:07 time: 0.4323 data_time: 0.1178 memory: 6121 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0154 loss_cls: 0.1188 acc: 96.1182 loss_bbox: 0.1605 loss_mask: 0.2537 loss: 0.5604 2022/08/26 16:30:53 - mmengine - INFO - Epoch(train) [26][25/125] lr: 8.0000e-02 eta: 2:17:07 time: 0.4102 data_time: 0.1118 memory: 6121 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0127 loss_cls: 0.1059 acc: 96.4844 loss_bbox: 0.1331 loss_mask: 0.2551 loss: 0.5181 2022/08/26 16:30:54 - mmengine - INFO - Epoch(train) [26][30/125] lr: 8.0000e-02 eta: 2:16:58 time: 0.4165 data_time: 0.1171 memory: 6271 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0123 loss_cls: 0.1159 acc: 94.3359 loss_bbox: 0.1479 loss_mask: 0.2605 loss: 0.5498 2022/08/26 16:30:56 - mmengine - INFO - Epoch(train) [26][35/125] lr: 8.0000e-02 eta: 2:16:58 time: 0.3398 data_time: 0.0660 memory: 6183 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0175 loss_cls: 0.1145 acc: 96.7285 loss_bbox: 0.1465 loss_mask: 0.2539 loss: 0.5519 2022/08/26 16:30:58 - mmengine - INFO - Epoch(train) [26][40/125] lr: 8.0000e-02 eta: 2:16:45 time: 0.3435 data_time: 0.0700 memory: 6094 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0186 loss_cls: 0.1087 acc: 96.9238 loss_bbox: 0.1388 loss_mask: 0.2400 loss: 0.5338 2022/08/26 16:31:00 - mmengine - INFO - Epoch(train) [26][45/125] lr: 8.0000e-02 eta: 2:16:45 time: 0.3561 data_time: 0.0841 memory: 6144 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0117 loss_cls: 0.1038 acc: 96.5820 loss_bbox: 0.1383 loss_mask: 0.2466 loss: 0.5214 2022/08/26 16:31:02 - mmengine - INFO - Epoch(train) [26][50/125] lr: 8.0000e-02 eta: 2:16:38 time: 0.4345 data_time: 0.1523 memory: 6161 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0137 loss_cls: 0.1099 acc: 94.3848 loss_bbox: 0.1467 loss_mask: 0.2693 loss: 0.5572 2022/08/26 16:31:04 - mmengine - INFO - Epoch(train) [26][55/125] lr: 8.0000e-02 eta: 2:16:38 time: 0.4558 data_time: 0.1495 memory: 6207 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0147 loss_cls: 0.1136 acc: 93.7744 loss_bbox: 0.1481 loss_mask: 0.2766 loss: 0.5722 2022/08/26 16:31:06 - mmengine - INFO - Epoch(train) [26][60/125] lr: 8.0000e-02 eta: 2:16:27 time: 0.3854 data_time: 0.0856 memory: 6187 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0133 loss_cls: 0.1019 acc: 94.5801 loss_bbox: 0.1387 loss_mask: 0.2565 loss: 0.5246 2022/08/26 16:31:08 - mmengine - INFO - Epoch(train) [26][65/125] lr: 8.0000e-02 eta: 2:16:27 time: 0.3712 data_time: 0.0805 memory: 6819 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0157 loss_cls: 0.0969 acc: 97.5586 loss_bbox: 0.1382 loss_mask: 0.2639 loss: 0.5267 2022/08/26 16:31:10 - mmengine - INFO - Epoch(train) [26][70/125] lr: 8.0000e-02 eta: 2:16:18 time: 0.3941 data_time: 0.1045 memory: 5963 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0121 loss_cls: 0.0980 acc: 97.7295 loss_bbox: 0.1326 loss_mask: 0.2728 loss: 0.5264 2022/08/26 16:31:12 - mmengine - INFO - Epoch(train) [26][75/125] lr: 8.0000e-02 eta: 2:16:18 time: 0.3514 data_time: 0.0770 memory: 6098 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0108 loss_cls: 0.1046 acc: 96.7773 loss_bbox: 0.1272 loss_mask: 0.2636 loss: 0.5209 2022/08/26 16:31:14 - mmengine - INFO - Epoch(train) [26][80/125] lr: 8.0000e-02 eta: 2:16:08 time: 0.3909 data_time: 0.0560 memory: 7809 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0144 loss_cls: 0.1060 acc: 97.3389 loss_bbox: 0.1393 loss_mask: 0.2652 loss: 0.5408 2022/08/26 16:31:16 - mmengine - INFO - Epoch(train) [26][85/125] lr: 8.0000e-02 eta: 2:16:08 time: 0.4755 data_time: 0.1076 memory: 7341 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0154 loss_cls: 0.1099 acc: 95.7764 loss_bbox: 0.1558 loss_mask: 0.2629 loss: 0.5576 2022/08/26 16:31:19 - mmengine - INFO - Epoch(train) [26][90/125] lr: 8.0000e-02 eta: 2:16:02 time: 0.4612 data_time: 0.1441 memory: 6098 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0146 loss_cls: 0.1081 acc: 95.0439 loss_bbox: 0.1427 loss_mask: 0.2591 loss: 0.5405 2022/08/26 16:31:20 - mmengine - INFO - Epoch(train) [26][95/125] lr: 8.0000e-02 eta: 2:16:02 time: 0.3829 data_time: 0.1027 memory: 6473 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0132 loss_cls: 0.1006 acc: 96.9727 loss_bbox: 0.1297 loss_mask: 0.2650 loss: 0.5251 2022/08/26 16:31:22 - mmengine - INFO - Epoch(train) [26][100/125] lr: 8.0000e-02 eta: 2:15:51 time: 0.3744 data_time: 0.0701 memory: 7198 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0176 loss_cls: 0.1054 acc: 94.1162 loss_bbox: 0.1451 loss_mask: 0.2521 loss: 0.5377 2022/08/26 16:31:24 - mmengine - INFO - Epoch(train) [26][105/125] lr: 8.0000e-02 eta: 2:15:51 time: 0.3894 data_time: 0.0771 memory: 6389 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0217 loss_cls: 0.1131 acc: 97.3633 loss_bbox: 0.1574 loss_mask: 0.2474 loss: 0.5584 2022/08/26 16:31:26 - mmengine - INFO - Epoch(train) [26][110/125] lr: 8.0000e-02 eta: 2:15:41 time: 0.3969 data_time: 0.1165 memory: 6472 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0172 loss_cls: 0.1130 acc: 94.3115 loss_bbox: 0.1534 loss_mask: 0.2694 loss: 0.5693 2022/08/26 16:31:28 - mmengine - INFO - Epoch(train) [26][115/125] lr: 8.0000e-02 eta: 2:15:41 time: 0.3872 data_time: 0.1148 memory: 6330 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0116 loss_cls: 0.1094 acc: 94.3359 loss_bbox: 0.1433 loss_mask: 0.2585 loss: 0.5360 2022/08/26 16:31:30 - mmengine - INFO - Epoch(train) [26][120/125] lr: 8.0000e-02 eta: 2:15:30 time: 0.3511 data_time: 0.0807 memory: 6235 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0117 loss_cls: 0.1103 acc: 96.0449 loss_bbox: 0.1359 loss_mask: 0.2502 loss: 0.5228 2022/08/26 16:31:32 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:31:32 - mmengine - INFO - Epoch(train) [26][125/125] lr: 8.0000e-02 eta: 2:15:30 time: 0.3580 data_time: 0.0664 memory: 6079 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0144 loss_cls: 0.1041 acc: 98.2910 loss_bbox: 0.1305 loss_mask: 0.2513 loss: 0.5156 2022/08/26 16:31:35 - mmengine - INFO - Epoch(train) [27][5/125] lr: 8.0000e-02 eta: 2:15:30 time: 0.5383 data_time: 0.2271 memory: 6311 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0183 loss_cls: 0.1094 acc: 96.1914 loss_bbox: 0.1399 loss_mask: 0.2678 loss: 0.5521 2022/08/26 16:31:38 - mmengine - INFO - Epoch(train) [27][10/125] lr: 8.0000e-02 eta: 2:15:18 time: 0.6388 data_time: 0.3514 memory: 6196 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0187 loss_cls: 0.1142 acc: 96.0449 loss_bbox: 0.1437 loss_mask: 0.2939 loss: 0.5866 2022/08/26 16:31:40 - mmengine - INFO - Epoch(train) [27][15/125] lr: 8.0000e-02 eta: 2:15:18 time: 0.4562 data_time: 0.1856 memory: 6235 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0223 loss_cls: 0.1093 acc: 96.0205 loss_bbox: 0.1428 loss_mask: 0.2891 loss: 0.5769 2022/08/26 16:31:42 - mmengine - INFO - Epoch(train) [27][20/125] lr: 8.0000e-02 eta: 2:15:10 time: 0.4235 data_time: 0.0769 memory: 6311 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0261 loss_cls: 0.1175 acc: 93.4814 loss_bbox: 0.1527 loss_mask: 0.2717 loss: 0.5879 2022/08/26 16:31:44 - mmengine - INFO - Epoch(train) [27][25/125] lr: 8.0000e-02 eta: 2:15:10 time: 0.4201 data_time: 0.0777 memory: 5980 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0254 loss_cls: 0.1143 acc: 96.9238 loss_bbox: 0.1355 loss_mask: 0.2568 loss: 0.5541 2022/08/26 16:31:47 - mmengine - INFO - Epoch(train) [27][30/125] lr: 8.0000e-02 eta: 2:15:01 time: 0.4183 data_time: 0.1190 memory: 6094 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0223 loss_cls: 0.1052 acc: 96.7529 loss_bbox: 0.1203 loss_mask: 0.2548 loss: 0.5199 2022/08/26 16:31:49 - mmengine - INFO - Epoch(train) [27][35/125] lr: 8.0000e-02 eta: 2:15:01 time: 0.4407 data_time: 0.1359 memory: 6480 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0179 loss_cls: 0.1249 acc: 94.0430 loss_bbox: 0.1497 loss_mask: 0.2663 loss: 0.5764 2022/08/26 16:31:50 - mmengine - INFO - Epoch(train) [27][40/125] lr: 8.0000e-02 eta: 2:14:51 time: 0.3717 data_time: 0.0948 memory: 5973 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0185 loss_cls: 0.1174 acc: 96.2891 loss_bbox: 0.1421 loss_mask: 0.2701 loss: 0.5654 2022/08/26 16:31:52 - mmengine - INFO - Epoch(train) [27][45/125] lr: 8.0000e-02 eta: 2:14:51 time: 0.3598 data_time: 0.0768 memory: 6509 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0230 loss_cls: 0.1094 acc: 93.0908 loss_bbox: 0.1410 loss_mask: 0.2603 loss: 0.5496 2022/08/26 16:31:54 - mmengine - INFO - Epoch(train) [27][50/125] lr: 8.0000e-02 eta: 2:14:40 time: 0.3574 data_time: 0.0793 memory: 5930 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0175 loss_cls: 0.1098 acc: 96.3135 loss_bbox: 0.1446 loss_mask: 0.2706 loss: 0.5563 2022/08/26 16:31:56 - mmengine - INFO - Epoch(train) [27][55/125] lr: 8.0000e-02 eta: 2:14:40 time: 0.3816 data_time: 0.0915 memory: 7029 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0117 loss_cls: 0.1052 acc: 97.3877 loss_bbox: 0.1404 loss_mask: 0.2651 loss: 0.5363 2022/08/26 16:31:58 - mmengine - INFO - Epoch(train) [27][60/125] lr: 8.0000e-02 eta: 2:14:31 time: 0.4058 data_time: 0.1103 memory: 6418 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0153 loss_cls: 0.1195 acc: 95.7764 loss_bbox: 0.1684 loss_mask: 0.2575 loss: 0.5776 2022/08/26 16:32:00 - mmengine - INFO - Epoch(train) [27][65/125] lr: 8.0000e-02 eta: 2:14:31 time: 0.3995 data_time: 0.1259 memory: 6177 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0132 loss_cls: 0.1205 acc: 95.7031 loss_bbox: 0.1678 loss_mask: 0.2619 loss: 0.5782 2022/08/26 16:32:02 - mmengine - INFO - Epoch(train) [27][70/125] lr: 8.0000e-02 eta: 2:14:23 time: 0.4272 data_time: 0.1239 memory: 6196 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0140 loss_cls: 0.1209 acc: 95.3857 loss_bbox: 0.1580 loss_mask: 0.2642 loss: 0.5713 2022/08/26 16:32:04 - mmengine - INFO - Epoch(train) [27][75/125] lr: 8.0000e-02 eta: 2:14:23 time: 0.3917 data_time: 0.0877 memory: 6209 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0145 loss_cls: 0.1151 acc: 97.1680 loss_bbox: 0.1456 loss_mask: 0.2646 loss: 0.5549 2022/08/26 16:32:06 - mmengine - INFO - Epoch(train) [27][80/125] lr: 8.0000e-02 eta: 2:14:11 time: 0.3408 data_time: 0.0676 memory: 6360 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0115 loss_cls: 0.1092 acc: 96.6553 loss_bbox: 0.1405 loss_mask: 0.2640 loss: 0.5374 2022/08/26 16:32:07 - mmengine - INFO - Epoch(train) [27][85/125] lr: 8.0000e-02 eta: 2:14:11 time: 0.3435 data_time: 0.0704 memory: 6493 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0132 loss_cls: 0.1078 acc: 95.3125 loss_bbox: 0.1382 loss_mask: 0.2481 loss: 0.5171 2022/08/26 16:32:09 - mmengine - INFO - Epoch(train) [27][90/125] lr: 8.0000e-02 eta: 2:14:01 time: 0.3693 data_time: 0.0767 memory: 6693 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0156 loss_cls: 0.1159 acc: 92.4805 loss_bbox: 0.1462 loss_mask: 0.2418 loss: 0.5308 2022/08/26 16:32:11 - mmengine - INFO - Epoch(train) [27][95/125] lr: 8.0000e-02 eta: 2:14:01 time: 0.3975 data_time: 0.0974 memory: 6292 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0158 loss_cls: 0.1248 acc: 95.1172 loss_bbox: 0.1619 loss_mask: 0.2514 loss: 0.5666 2022/08/26 16:32:13 - mmengine - INFO - Epoch(train) [27][100/125] lr: 8.0000e-02 eta: 2:13:52 time: 0.4091 data_time: 0.1092 memory: 6878 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0173 loss_cls: 0.1192 acc: 96.6797 loss_bbox: 0.1554 loss_mask: 0.2453 loss: 0.5483 2022/08/26 16:32:15 - mmengine - INFO - Epoch(train) [27][105/125] lr: 8.0000e-02 eta: 2:13:52 time: 0.3826 data_time: 0.0904 memory: 5956 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0148 loss_cls: 0.1089 acc: 96.6064 loss_bbox: 0.1333 loss_mask: 0.2615 loss: 0.5309 2022/08/26 16:32:17 - mmengine - INFO - Epoch(train) [27][110/125] lr: 8.0000e-02 eta: 2:13:40 time: 0.3380 data_time: 0.0662 memory: 6170 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0174 loss_cls: 0.1080 acc: 95.2637 loss_bbox: 0.1334 loss_mask: 0.2885 loss: 0.5621 2022/08/26 16:32:19 - mmengine - INFO - Epoch(train) [27][115/125] lr: 8.0000e-02 eta: 2:13:40 time: 0.3507 data_time: 0.0813 memory: 6150 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0205 loss_cls: 0.1125 acc: 96.5820 loss_bbox: 0.1470 loss_mask: 0.2950 loss: 0.5900 2022/08/26 16:32:20 - mmengine - INFO - Epoch(train) [27][120/125] lr: 8.0000e-02 eta: 2:13:29 time: 0.3522 data_time: 0.0772 memory: 6320 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0190 loss_cls: 0.1136 acc: 97.5098 loss_bbox: 0.1505 loss_mask: 0.2667 loss: 0.5638 2022/08/26 16:32:23 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:32:23 - mmengine - INFO - Epoch(train) [27][125/125] lr: 8.0000e-02 eta: 2:13:29 time: 0.4386 data_time: 0.0864 memory: 6043 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0206 loss_cls: 0.1201 acc: 95.4346 loss_bbox: 0.1543 loss_mask: 0.2817 loss: 0.5918 2022/08/26 16:32:26 - mmengine - INFO - Epoch(train) [28][5/125] lr: 8.0000e-02 eta: 2:13:29 time: 0.5495 data_time: 0.1961 memory: 6147 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0212 loss_cls: 0.1140 acc: 95.8252 loss_bbox: 0.1509 loss_mask: 0.2982 loss: 0.6002 2022/08/26 16:32:28 - mmengine - INFO - Epoch(train) [28][10/125] lr: 8.0000e-02 eta: 2:13:09 time: 0.4557 data_time: 0.1797 memory: 6295 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0175 loss_cls: 0.1071 acc: 97.7539 loss_bbox: 0.1472 loss_mask: 0.2713 loss: 0.5555 2022/08/26 16:32:31 - mmengine - INFO - Epoch(train) [28][15/125] lr: 8.0000e-02 eta: 2:13:09 time: 0.5083 data_time: 0.2319 memory: 6301 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0163 loss_cls: 0.1146 acc: 95.3369 loss_bbox: 0.1516 loss_mask: 0.2672 loss: 0.5631 2022/08/26 16:32:33 - mmengine - INFO - Epoch(train) [28][20/125] lr: 8.0000e-02 eta: 2:13:07 time: 0.5345 data_time: 0.2486 memory: 6369 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0189 loss_cls: 0.1176 acc: 94.9463 loss_bbox: 0.1542 loss_mask: 0.2660 loss: 0.5740 2022/08/26 16:32:35 - mmengine - INFO - Epoch(train) [28][25/125] lr: 8.0000e-02 eta: 2:13:07 time: 0.3715 data_time: 0.0924 memory: 6239 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0151 loss_cls: 0.1120 acc: 94.4336 loss_bbox: 0.1517 loss_mask: 0.2643 loss: 0.5588 2022/08/26 16:32:37 - mmengine - INFO - Epoch(train) [28][30/125] lr: 8.0000e-02 eta: 2:13:00 time: 0.4355 data_time: 0.1450 memory: 6604 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0141 loss_cls: 0.1209 acc: 96.1914 loss_bbox: 0.1662 loss_mask: 0.2606 loss: 0.5743 2022/08/26 16:32:39 - mmengine - INFO - Epoch(train) [28][35/125] lr: 8.0000e-02 eta: 2:13:00 time: 0.4615 data_time: 0.1694 memory: 6088 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0149 loss_cls: 0.1202 acc: 97.0947 loss_bbox: 0.1644 loss_mask: 0.2554 loss: 0.5655 2022/08/26 16:32:41 - mmengine - INFO - Epoch(train) [28][40/125] lr: 8.0000e-02 eta: 2:12:49 time: 0.3674 data_time: 0.0906 memory: 6265 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0142 loss_cls: 0.1104 acc: 96.1182 loss_bbox: 0.1488 loss_mask: 0.2574 loss: 0.5439 2022/08/26 16:32:43 - mmengine - INFO - Epoch(train) [28][45/125] lr: 8.0000e-02 eta: 2:12:49 time: 0.3941 data_time: 0.0812 memory: 6891 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0157 loss_cls: 0.1211 acc: 96.6309 loss_bbox: 0.1560 loss_mask: 0.2595 loss: 0.5711 2022/08/26 16:32:46 - mmengine - INFO - Epoch(train) [28][50/125] lr: 8.0000e-02 eta: 2:12:43 time: 0.4602 data_time: 0.1506 memory: 6489 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0188 loss_cls: 0.1246 acc: 96.1670 loss_bbox: 0.1699 loss_mask: 0.2594 loss: 0.5905 2022/08/26 16:32:48 - mmengine - INFO - Epoch(train) [28][55/125] lr: 8.0000e-02 eta: 2:12:43 time: 0.4588 data_time: 0.1867 memory: 6071 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0173 loss_cls: 0.1111 acc: 95.9717 loss_bbox: 0.1525 loss_mask: 0.2725 loss: 0.5666 2022/08/26 16:32:51 - mmengine - INFO - Epoch(train) [28][60/125] lr: 8.0000e-02 eta: 2:12:40 time: 0.5114 data_time: 0.2103 memory: 6984 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0153 loss_cls: 0.1011 acc: 95.7031 loss_bbox: 0.1331 loss_mask: 0.2655 loss: 0.5282 2022/08/26 16:32:52 - mmengine - INFO - Epoch(train) [28][65/125] lr: 8.0000e-02 eta: 2:12:40 time: 0.4526 data_time: 0.1500 memory: 6242 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0209 loss_cls: 0.1110 acc: 94.9219 loss_bbox: 0.1525 loss_mask: 0.2461 loss: 0.5459 2022/08/26 16:32:54 - mmengine - INFO - Epoch(train) [28][70/125] lr: 8.0000e-02 eta: 2:12:30 time: 0.3708 data_time: 0.0787 memory: 7346 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0198 loss_cls: 0.1243 acc: 93.9697 loss_bbox: 0.1737 loss_mask: 0.2525 loss: 0.5845 2022/08/26 16:32:57 - mmengine - INFO - Epoch(train) [28][75/125] lr: 8.0000e-02 eta: 2:12:30 time: 0.4392 data_time: 0.1196 memory: 7471 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0168 loss_cls: 0.1284 acc: 96.0938 loss_bbox: 0.1797 loss_mask: 0.2672 loss: 0.6063 2022/08/26 16:32:58 - mmengine - INFO - Epoch(train) [28][80/125] lr: 8.0000e-02 eta: 2:12:21 time: 0.3964 data_time: 0.0948 memory: 6356 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0180 loss_cls: 0.1195 acc: 94.8730 loss_bbox: 0.1641 loss_mask: 0.2540 loss: 0.5710 2022/08/26 16:33:00 - mmengine - INFO - Epoch(train) [28][85/125] lr: 8.0000e-02 eta: 2:12:21 time: 0.3529 data_time: 0.0625 memory: 7073 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0172 loss_cls: 0.1161 acc: 95.2637 loss_bbox: 0.1597 loss_mask: 0.2529 loss: 0.5602 2022/08/26 16:33:02 - mmengine - INFO - Epoch(train) [28][90/125] lr: 8.0000e-02 eta: 2:12:13 time: 0.4038 data_time: 0.0734 memory: 6117 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0167 loss_cls: 0.1189 acc: 96.2891 loss_bbox: 0.1593 loss_mask: 0.2647 loss: 0.5737 2022/08/26 16:33:04 - mmengine - INFO - Epoch(train) [28][95/125] lr: 8.0000e-02 eta: 2:12:13 time: 0.3787 data_time: 0.0696 memory: 6013 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0139 loss_cls: 0.1126 acc: 96.4600 loss_bbox: 0.1327 loss_mask: 0.2609 loss: 0.5335 2022/08/26 16:33:06 - mmengine - INFO - Epoch(train) [28][100/125] lr: 8.0000e-02 eta: 2:12:01 time: 0.3235 data_time: 0.0540 memory: 5986 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0116 loss_cls: 0.1083 acc: 95.0195 loss_bbox: 0.1222 loss_mask: 0.2672 loss: 0.5211 2022/08/26 16:33:08 - mmengine - INFO - Epoch(train) [28][105/125] lr: 8.0000e-02 eta: 2:12:01 time: 0.3682 data_time: 0.0945 memory: 5939 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0130 loss_cls: 0.1082 acc: 96.7773 loss_bbox: 0.1334 loss_mask: 0.2640 loss: 0.5317 2022/08/26 16:33:09 - mmengine - INFO - Epoch(train) [28][110/125] lr: 8.0000e-02 eta: 2:11:51 time: 0.3720 data_time: 0.1009 memory: 6271 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0133 loss_cls: 0.1022 acc: 97.2900 loss_bbox: 0.1368 loss_mask: 0.2375 loss: 0.5038 2022/08/26 16:33:11 - mmengine - INFO - Epoch(train) [28][115/125] lr: 8.0000e-02 eta: 2:11:51 time: 0.3578 data_time: 0.0737 memory: 6147 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0111 loss_cls: 0.1034 acc: 95.9473 loss_bbox: 0.1372 loss_mask: 0.2437 loss: 0.5086 2022/08/26 16:33:13 - mmengine - INFO - Epoch(train) [28][120/125] lr: 8.0000e-02 eta: 2:11:40 time: 0.3491 data_time: 0.0677 memory: 5999 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0103 loss_cls: 0.1026 acc: 96.6064 loss_bbox: 0.1366 loss_mask: 0.2658 loss: 0.5283 2022/08/26 16:33:14 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:33:14 - mmengine - INFO - Epoch(train) [28][125/125] lr: 8.0000e-02 eta: 2:11:40 time: 0.3064 data_time: 0.0406 memory: 6128 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0130 loss_cls: 0.0939 acc: 96.5576 loss_bbox: 0.1279 loss_mask: 0.2589 loss: 0.5080 2022/08/26 16:33:18 - mmengine - INFO - Epoch(train) [29][5/125] lr: 8.0000e-02 eta: 2:11:40 time: 0.4533 data_time: 0.1810 memory: 6337 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0196 loss_cls: 0.1113 acc: 95.7520 loss_bbox: 0.1573 loss_mask: 0.2633 loss: 0.5659 2022/08/26 16:33:19 - mmengine - INFO - Epoch(train) [29][10/125] lr: 8.0000e-02 eta: 2:11:22 time: 0.4911 data_time: 0.2156 memory: 6042 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0197 loss_cls: 0.1162 acc: 95.9717 loss_bbox: 0.1641 loss_mask: 0.2592 loss: 0.5729 2022/08/26 16:33:21 - mmengine - INFO - Epoch(train) [29][15/125] lr: 8.0000e-02 eta: 2:11:22 time: 0.3500 data_time: 0.0756 memory: 6028 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0177 loss_cls: 0.1078 acc: 96.9238 loss_bbox: 0.1405 loss_mask: 0.2654 loss: 0.5452 2022/08/26 16:33:24 - mmengine - INFO - Epoch(train) [29][20/125] lr: 8.0000e-02 eta: 2:11:15 time: 0.4279 data_time: 0.0767 memory: 6447 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0206 loss_cls: 0.1185 acc: 94.8975 loss_bbox: 0.1574 loss_mask: 0.2822 loss: 0.5973 2022/08/26 16:33:26 - mmengine - INFO - Epoch(train) [29][25/125] lr: 8.0000e-02 eta: 2:11:15 time: 0.4544 data_time: 0.0979 memory: 6440 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0207 loss_cls: 0.1176 acc: 96.7529 loss_bbox: 0.1550 loss_mask: 0.2634 loss: 0.5755 2022/08/26 16:33:28 - mmengine - INFO - Epoch(train) [29][30/125] lr: 8.0000e-02 eta: 2:11:07 time: 0.4084 data_time: 0.1040 memory: 7150 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0209 loss_cls: 0.1205 acc: 93.0908 loss_bbox: 0.1531 loss_mask: 0.2575 loss: 0.5685 2022/08/26 16:33:30 - mmengine - INFO - Epoch(train) [29][35/125] lr: 8.0000e-02 eta: 2:11:07 time: 0.4200 data_time: 0.1177 memory: 6447 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0198 loss_cls: 0.1265 acc: 93.0176 loss_bbox: 0.1643 loss_mask: 0.2658 loss: 0.5941 2022/08/26 16:33:32 - mmengine - INFO - Epoch(train) [29][40/125] lr: 8.0000e-02 eta: 2:10:58 time: 0.3915 data_time: 0.1081 memory: 5917 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0147 loss_cls: 0.1049 acc: 95.5566 loss_bbox: 0.1389 loss_mask: 0.2531 loss: 0.5238 2022/08/26 16:33:34 - mmengine - INFO - Epoch(train) [29][45/125] lr: 8.0000e-02 eta: 2:10:58 time: 0.3972 data_time: 0.0913 memory: 7582 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0141 loss_cls: 0.1069 acc: 92.8223 loss_bbox: 0.1443 loss_mask: 0.2550 loss: 0.5317 2022/08/26 16:33:36 - mmengine - INFO - Epoch(train) [29][50/125] lr: 8.0000e-02 eta: 2:10:49 time: 0.3912 data_time: 0.0918 memory: 6324 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0158 loss_cls: 0.1071 acc: 98.4619 loss_bbox: 0.1483 loss_mask: 0.2460 loss: 0.5297 2022/08/26 16:33:37 - mmengine - INFO - Epoch(train) [29][55/125] lr: 8.0000e-02 eta: 2:10:49 time: 0.3422 data_time: 0.0695 memory: 6077 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0155 loss_cls: 0.0930 acc: 96.3135 loss_bbox: 0.1234 loss_mask: 0.2436 loss: 0.4870 2022/08/26 16:33:40 - mmengine - INFO - Epoch(train) [29][60/125] lr: 8.0000e-02 eta: 2:10:43 time: 0.4449 data_time: 0.1525 memory: 7008 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0140 loss_cls: 0.1055 acc: 95.0684 loss_bbox: 0.1331 loss_mask: 0.2408 loss: 0.5050 2022/08/26 16:33:43 - mmengine - INFO - Epoch(train) [29][65/125] lr: 8.0000e-02 eta: 2:10:43 time: 0.5591 data_time: 0.2066 memory: 7203 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0156 loss_cls: 0.1186 acc: 96.3135 loss_bbox: 0.1574 loss_mask: 0.2402 loss: 0.5429 2022/08/26 16:33:44 - mmengine - INFO - Epoch(train) [29][70/125] lr: 8.0000e-02 eta: 2:10:36 time: 0.4352 data_time: 0.1037 memory: 6005 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0158 loss_cls: 0.1226 acc: 93.7012 loss_bbox: 0.1647 loss_mask: 0.2700 loss: 0.5884 2022/08/26 16:33:47 - mmengine - INFO - Epoch(train) [29][75/125] lr: 8.0000e-02 eta: 2:10:36 time: 0.3849 data_time: 0.0957 memory: 5940 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0150 loss_cls: 0.1094 acc: 95.2881 loss_bbox: 0.1431 loss_mask: 0.2672 loss: 0.5483 2022/08/26 16:33:49 - mmengine - INFO - Epoch(train) [29][80/125] lr: 8.0000e-02 eta: 2:10:30 time: 0.4463 data_time: 0.1177 memory: 6267 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0168 loss_cls: 0.1054 acc: 96.1426 loss_bbox: 0.1415 loss_mask: 0.2635 loss: 0.5388 2022/08/26 16:33:51 - mmengine - INFO - Epoch(train) [29][85/125] lr: 8.0000e-02 eta: 2:10:30 time: 0.4546 data_time: 0.1356 memory: 6124 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0157 loss_cls: 0.1054 acc: 96.8994 loss_bbox: 0.1450 loss_mask: 0.2754 loss: 0.5568 2022/08/26 16:33:53 - mmengine - INFO - Epoch(train) [29][90/125] lr: 8.0000e-02 eta: 2:10:23 time: 0.4194 data_time: 0.1382 memory: 6078 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0132 loss_cls: 0.1013 acc: 96.0938 loss_bbox: 0.1371 loss_mask: 0.2682 loss: 0.5354 2022/08/26 16:33:55 - mmengine - INFO - Epoch(train) [29][95/125] lr: 8.0000e-02 eta: 2:10:23 time: 0.4248 data_time: 0.1290 memory: 6405 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0159 loss_cls: 0.1158 acc: 95.0684 loss_bbox: 0.1642 loss_mask: 0.2484 loss: 0.5590 2022/08/26 16:33:57 - mmengine - INFO - Epoch(train) [29][100/125] lr: 8.0000e-02 eta: 2:10:15 time: 0.4147 data_time: 0.1188 memory: 6275 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0171 loss_cls: 0.1086 acc: 96.4111 loss_bbox: 0.1632 loss_mask: 0.2361 loss: 0.5381 2022/08/26 16:33:59 - mmengine - INFO - Epoch(train) [29][105/125] lr: 8.0000e-02 eta: 2:10:15 time: 0.3339 data_time: 0.0636 memory: 6294 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0132 loss_cls: 0.0985 acc: 94.5801 loss_bbox: 0.1342 loss_mask: 0.2437 loss: 0.5037 2022/08/26 16:34:00 - mmengine - INFO - Epoch(train) [29][110/125] lr: 8.0000e-02 eta: 2:10:03 time: 0.3247 data_time: 0.0562 memory: 6058 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0129 loss_cls: 0.1043 acc: 95.8008 loss_bbox: 0.1360 loss_mask: 0.2568 loss: 0.5242 2022/08/26 16:34:03 - mmengine - INFO - Epoch(train) [29][115/125] lr: 8.0000e-02 eta: 2:10:03 time: 0.4572 data_time: 0.1592 memory: 6142 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0154 loss_cls: 0.1045 acc: 95.5078 loss_bbox: 0.1336 loss_mask: 0.2652 loss: 0.5318 2022/08/26 16:34:06 - mmengine - INFO - Epoch(train) [29][120/125] lr: 8.0000e-02 eta: 2:10:03 time: 0.5677 data_time: 0.2674 memory: 6194 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0168 loss_cls: 0.1152 acc: 95.0928 loss_bbox: 0.1447 loss_mask: 0.2672 loss: 0.5596 2022/08/26 16:34:08 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:34:08 - mmengine - INFO - Epoch(train) [29][125/125] lr: 8.0000e-02 eta: 2:10:03 time: 0.4428 data_time: 0.1705 memory: 6463 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0177 loss_cls: 0.1208 acc: 94.2383 loss_bbox: 0.1649 loss_mask: 0.2597 loss: 0.5783 2022/08/26 16:34:11 - mmengine - INFO - Epoch(train) [30][5/125] lr: 8.0000e-02 eta: 2:10:03 time: 0.4384 data_time: 0.1698 memory: 6071 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0168 loss_cls: 0.1093 acc: 97.6074 loss_bbox: 0.1482 loss_mask: 0.2605 loss: 0.5466 2022/08/26 16:34:13 - mmengine - INFO - Epoch(train) [30][10/125] lr: 8.0000e-02 eta: 2:09:45 time: 0.4862 data_time: 0.1817 memory: 6111 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0144 loss_cls: 0.1046 acc: 97.0215 loss_bbox: 0.1335 loss_mask: 0.2496 loss: 0.5147 2022/08/26 16:34:15 - mmengine - INFO - Epoch(train) [30][15/125] lr: 8.0000e-02 eta: 2:09:45 time: 0.3999 data_time: 0.0887 memory: 6114 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0148 loss_cls: 0.1082 acc: 95.1904 loss_bbox: 0.1377 loss_mask: 0.2472 loss: 0.5235 2022/08/26 16:34:16 - mmengine - INFO - Epoch(train) [30][20/125] lr: 8.0000e-02 eta: 2:09:36 time: 0.3748 data_time: 0.1020 memory: 6124 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0146 loss_cls: 0.1021 acc: 95.1172 loss_bbox: 0.1326 loss_mask: 0.2499 loss: 0.5135 2022/08/26 16:34:18 - mmengine - INFO - Epoch(train) [30][25/125] lr: 8.0000e-02 eta: 2:09:36 time: 0.3607 data_time: 0.0923 memory: 6392 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0203 loss_cls: 0.1101 acc: 95.4102 loss_bbox: 0.1457 loss_mask: 0.2476 loss: 0.5408 2022/08/26 16:34:20 - mmengine - INFO - Epoch(train) [30][30/125] lr: 8.0000e-02 eta: 2:09:25 time: 0.3407 data_time: 0.0673 memory: 6094 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0212 loss_cls: 0.1094 acc: 96.3135 loss_bbox: 0.1419 loss_mask: 0.2616 loss: 0.5541 2022/08/26 16:34:23 - mmengine - INFO - Epoch(train) [30][35/125] lr: 8.0000e-02 eta: 2:09:25 time: 0.4413 data_time: 0.1583 memory: 6709 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0161 loss_cls: 0.1051 acc: 96.6797 loss_bbox: 0.1376 loss_mask: 0.2663 loss: 0.5414 2022/08/26 16:34:24 - mmengine - INFO - Epoch(train) [30][40/125] lr: 8.0000e-02 eta: 2:09:19 time: 0.4320 data_time: 0.1498 memory: 6168 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0139 loss_cls: 0.1065 acc: 96.6064 loss_bbox: 0.1469 loss_mask: 0.2498 loss: 0.5299 2022/08/26 16:34:26 - mmengine - INFO - Epoch(train) [30][45/125] lr: 8.0000e-02 eta: 2:09:19 time: 0.3421 data_time: 0.0455 memory: 7416 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0160 loss_cls: 0.1182 acc: 93.7744 loss_bbox: 0.1687 loss_mask: 0.2447 loss: 0.5624 2022/08/26 16:34:28 - mmengine - INFO - Epoch(train) [30][50/125] lr: 8.0000e-02 eta: 2:09:09 time: 0.3571 data_time: 0.0607 memory: 6137 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0175 loss_cls: 0.1297 acc: 96.4600 loss_bbox: 0.1774 loss_mask: 0.2554 loss: 0.5947 2022/08/26 16:34:31 - mmengine - INFO - Epoch(train) [30][55/125] lr: 8.0000e-02 eta: 2:09:09 time: 0.4579 data_time: 0.1709 memory: 6307 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0170 loss_cls: 0.1189 acc: 96.4355 loss_bbox: 0.1532 loss_mask: 0.2605 loss: 0.5634 2022/08/26 16:34:32 - mmengine - INFO - Epoch(train) [30][60/125] lr: 8.0000e-02 eta: 2:09:02 time: 0.4338 data_time: 0.1498 memory: 6225 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0191 loss_cls: 0.1162 acc: 95.0195 loss_bbox: 0.1627 loss_mask: 0.2511 loss: 0.5679 2022/08/26 16:34:34 - mmengine - INFO - Epoch(train) [30][65/125] lr: 8.0000e-02 eta: 2:09:02 time: 0.3235 data_time: 0.0531 memory: 6412 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0164 loss_cls: 0.1200 acc: 94.9707 loss_bbox: 0.1734 loss_mask: 0.2618 loss: 0.5900 2022/08/26 16:34:35 - mmengine - INFO - Epoch(train) [30][70/125] lr: 8.0000e-02 eta: 2:08:51 time: 0.3325 data_time: 0.0605 memory: 6212 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0132 loss_cls: 0.1080 acc: 98.1934 loss_bbox: 0.1486 loss_mask: 0.2715 loss: 0.5554 2022/08/26 16:34:38 - mmengine - INFO - Epoch(train) [30][75/125] lr: 8.0000e-02 eta: 2:08:51 time: 0.4059 data_time: 0.0989 memory: 7258 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0162 loss_cls: 0.1063 acc: 97.3633 loss_bbox: 0.1477 loss_mask: 0.2518 loss: 0.5388 2022/08/26 16:34:40 - mmengine - INFO - Epoch(train) [30][80/125] lr: 8.0000e-02 eta: 2:08:44 time: 0.4276 data_time: 0.1233 memory: 6418 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0172 loss_cls: 0.1092 acc: 97.0459 loss_bbox: 0.1524 loss_mask: 0.2523 loss: 0.5507 2022/08/26 16:34:42 - mmengine - INFO - Epoch(train) [30][85/125] lr: 8.0000e-02 eta: 2:08:44 time: 0.3885 data_time: 0.0907 memory: 6268 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0168 loss_cls: 0.1012 acc: 96.7529 loss_bbox: 0.1372 loss_mask: 0.2498 loss: 0.5206 2022/08/26 16:34:44 - mmengine - INFO - Epoch(train) [30][90/125] lr: 8.0000e-02 eta: 2:08:36 time: 0.4004 data_time: 0.0949 memory: 6333 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0186 loss_cls: 0.1214 acc: 96.7041 loss_bbox: 0.1602 loss_mask: 0.2432 loss: 0.5584 2022/08/26 16:34:46 - mmengine - INFO - Epoch(train) [30][95/125] lr: 8.0000e-02 eta: 2:08:36 time: 0.3777 data_time: 0.0996 memory: 6262 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0205 loss_cls: 0.1324 acc: 95.5811 loss_bbox: 0.1693 loss_mask: 0.2611 loss: 0.6013 2022/08/26 16:34:47 - mmengine - INFO - Epoch(train) [30][100/125] lr: 8.0000e-02 eta: 2:08:26 time: 0.3554 data_time: 0.0811 memory: 6290 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0202 loss_cls: 0.1255 acc: 96.4844 loss_bbox: 0.1554 loss_mask: 0.2548 loss: 0.5724 2022/08/26 16:34:49 - mmengine - INFO - Epoch(train) [30][105/125] lr: 8.0000e-02 eta: 2:08:26 time: 0.3564 data_time: 0.0787 memory: 6443 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0154 loss_cls: 0.1245 acc: 93.7744 loss_bbox: 0.1593 loss_mask: 0.2342 loss: 0.5466 2022/08/26 16:34:51 - mmengine - INFO - Epoch(train) [30][110/125] lr: 8.0000e-02 eta: 2:08:18 time: 0.3993 data_time: 0.1158 memory: 6298 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0149 loss_cls: 0.1137 acc: 95.7520 loss_bbox: 0.1494 loss_mask: 0.2336 loss: 0.5232 2022/08/26 16:34:54 - mmengine - INFO - Epoch(train) [30][115/125] lr: 8.0000e-02 eta: 2:08:18 time: 0.4795 data_time: 0.1119 memory: 6463 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0174 loss_cls: 0.1148 acc: 94.7998 loss_bbox: 0.1529 loss_mask: 0.2594 loss: 0.5606 2022/08/26 16:34:56 - mmengine - INFO - Epoch(train) [30][120/125] lr: 8.0000e-02 eta: 2:08:12 time: 0.4250 data_time: 0.0657 memory: 6659 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0151 loss_cls: 0.1252 acc: 95.7275 loss_bbox: 0.1654 loss_mask: 0.2779 loss: 0.6019 2022/08/26 16:34:58 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:34:58 - mmengine - INFO - Epoch(train) [30][125/125] lr: 8.0000e-02 eta: 2:08:12 time: 0.3793 data_time: 0.1081 memory: 6290 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0121 loss_cls: 0.1150 acc: 94.3115 loss_bbox: 0.1453 loss_mask: 0.2742 loss: 0.5608 2022/08/26 16:35:01 - mmengine - INFO - Epoch(train) [31][5/125] lr: 8.0000e-02 eta: 2:08:12 time: 0.5471 data_time: 0.2728 memory: 6275 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0117 loss_cls: 0.1133 acc: 94.9463 loss_bbox: 0.1370 loss_mask: 0.2675 loss: 0.5439 2022/08/26 16:35:03 - mmengine - INFO - Epoch(train) [31][10/125] lr: 8.0000e-02 eta: 2:07:58 time: 0.5505 data_time: 0.2760 memory: 6388 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0143 loss_cls: 0.1150 acc: 95.1416 loss_bbox: 0.1423 loss_mask: 0.2435 loss: 0.5287 2022/08/26 16:35:05 - mmengine - INFO - Epoch(train) [31][15/125] lr: 8.0000e-02 eta: 2:07:58 time: 0.3737 data_time: 0.1058 memory: 5902 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0126 loss_cls: 0.0998 acc: 97.9004 loss_bbox: 0.1280 loss_mask: 0.2499 loss: 0.5015 2022/08/26 16:35:07 - mmengine - INFO - Epoch(train) [31][20/125] lr: 8.0000e-02 eta: 2:07:48 time: 0.3515 data_time: 0.0790 memory: 6377 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0113 loss_cls: 0.0957 acc: 97.2412 loss_bbox: 0.1233 loss_mask: 0.2521 loss: 0.4945 2022/08/26 16:35:10 - mmengine - INFO - Epoch(train) [31][25/125] lr: 8.0000e-02 eta: 2:07:48 time: 0.5493 data_time: 0.2201 memory: 7609 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0162 loss_cls: 0.1159 acc: 94.8730 loss_bbox: 0.1596 loss_mask: 0.2537 loss: 0.5606 2022/08/26 16:35:12 - mmengine - INFO - Epoch(train) [31][30/125] lr: 8.0000e-02 eta: 2:07:46 time: 0.5377 data_time: 0.1851 memory: 6356 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0179 loss_cls: 0.1136 acc: 96.3135 loss_bbox: 0.1588 loss_mask: 0.2543 loss: 0.5575 2022/08/26 16:35:15 - mmengine - INFO - Epoch(train) [31][35/125] lr: 8.0000e-02 eta: 2:07:46 time: 0.4194 data_time: 0.0831 memory: 7300 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0169 loss_cls: 0.1135 acc: 95.1172 loss_bbox: 0.1495 loss_mask: 0.2360 loss: 0.5315 2022/08/26 16:35:16 - mmengine - INFO - Epoch(train) [31][40/125] lr: 8.0000e-02 eta: 2:07:38 time: 0.4040 data_time: 0.0956 memory: 6356 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0156 loss_cls: 0.1200 acc: 95.4834 loss_bbox: 0.1522 loss_mask: 0.2441 loss: 0.5506 2022/08/26 16:35:18 - mmengine - INFO - Epoch(train) [31][45/125] lr: 8.0000e-02 eta: 2:07:38 time: 0.3762 data_time: 0.0858 memory: 7249 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0168 loss_cls: 0.1249 acc: 95.0439 loss_bbox: 0.1608 loss_mask: 0.2613 loss: 0.5787 2022/08/26 16:35:20 - mmengine - INFO - Epoch(train) [31][50/125] lr: 8.0000e-02 eta: 2:07:29 time: 0.3694 data_time: 0.0827 memory: 5872 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0141 loss_cls: 0.1160 acc: 96.8262 loss_bbox: 0.1485 loss_mask: 0.2627 loss: 0.5543 2022/08/26 16:35:22 - mmengine - INFO - Epoch(train) [31][55/125] lr: 8.0000e-02 eta: 2:07:29 time: 0.3628 data_time: 0.0689 memory: 6261 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0142 loss_cls: 0.0950 acc: 94.6289 loss_bbox: 0.1175 loss_mask: 0.2743 loss: 0.5142 2022/08/26 16:35:24 - mmengine - INFO - Epoch(train) [31][60/125] lr: 8.0000e-02 eta: 2:07:21 time: 0.3951 data_time: 0.0729 memory: 7480 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0175 loss_cls: 0.1022 acc: 94.7754 loss_bbox: 0.1337 loss_mask: 0.2658 loss: 0.5352 2022/08/26 16:35:26 - mmengine - INFO - Epoch(train) [31][65/125] lr: 8.0000e-02 eta: 2:07:21 time: 0.3768 data_time: 0.0827 memory: 6153 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0138 loss_cls: 0.1075 acc: 94.4092 loss_bbox: 0.1471 loss_mask: 0.2623 loss: 0.5454 2022/08/26 16:35:28 - mmengine - INFO - Epoch(train) [31][70/125] lr: 8.0000e-02 eta: 2:07:11 time: 0.3601 data_time: 0.0892 memory: 6206 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0117 loss_cls: 0.1118 acc: 96.6797 loss_bbox: 0.1493 loss_mask: 0.2571 loss: 0.5419 2022/08/26 16:35:29 - mmengine - INFO - Epoch(train) [31][75/125] lr: 8.0000e-02 eta: 2:07:11 time: 0.3391 data_time: 0.0708 memory: 5869 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0137 loss_cls: 0.1016 acc: 97.6074 loss_bbox: 0.1257 loss_mask: 0.2564 loss: 0.5095 2022/08/26 16:35:31 - mmengine - INFO - Epoch(train) [31][80/125] lr: 8.0000e-02 eta: 2:07:00 time: 0.3169 data_time: 0.0542 memory: 6058 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0129 loss_cls: 0.0929 acc: 96.5332 loss_bbox: 0.1072 loss_mask: 0.2776 loss: 0.5024 2022/08/26 16:35:35 - mmengine - INFO - Epoch(train) [31][85/125] lr: 8.0000e-02 eta: 2:07:00 time: 0.5485 data_time: 0.2524 memory: 6232 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0135 loss_cls: 0.1159 acc: 94.9707 loss_bbox: 0.1378 loss_mask: 0.2712 loss: 0.5527 2022/08/26 16:35:37 - mmengine - INFO - Epoch(train) [31][90/125] lr: 8.0000e-02 eta: 2:07:02 time: 0.6366 data_time: 0.3382 memory: 6471 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0150 loss_cls: 0.1243 acc: 93.2861 loss_bbox: 0.1555 loss_mask: 0.2610 loss: 0.5704 2022/08/26 16:35:39 - mmengine - INFO - Epoch(train) [31][95/125] lr: 8.0000e-02 eta: 2:07:02 time: 0.4011 data_time: 0.1292 memory: 6113 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0140 loss_cls: 0.1131 acc: 97.1191 loss_bbox: 0.1443 loss_mask: 0.2483 loss: 0.5340 2022/08/26 16:35:40 - mmengine - INFO - Epoch(train) [31][100/125] lr: 8.0000e-02 eta: 2:06:52 time: 0.3256 data_time: 0.0534 memory: 6045 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0109 loss_cls: 0.1020 acc: 96.0205 loss_bbox: 0.1303 loss_mask: 0.2484 loss: 0.5041 2022/08/26 16:35:43 - mmengine - INFO - Epoch(train) [31][105/125] lr: 8.0000e-02 eta: 2:06:52 time: 0.3924 data_time: 0.0982 memory: 6235 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0128 loss_cls: 0.1076 acc: 93.9697 loss_bbox: 0.1419 loss_mask: 0.2508 loss: 0.5261 2022/08/26 16:35:45 - mmengine - INFO - Epoch(train) [31][110/125] lr: 8.0000e-02 eta: 2:06:45 time: 0.4323 data_time: 0.1184 memory: 6928 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0166 loss_cls: 0.1175 acc: 95.0928 loss_bbox: 0.1633 loss_mask: 0.2557 loss: 0.5718 2022/08/26 16:35:47 - mmengine - INFO - Epoch(train) [31][115/125] lr: 8.0000e-02 eta: 2:06:45 time: 0.4202 data_time: 0.1095 memory: 7058 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0181 loss_cls: 0.1199 acc: 94.3848 loss_bbox: 0.1641 loss_mask: 0.2613 loss: 0.5811 2022/08/26 16:35:48 - mmengine - INFO - Epoch(train) [31][120/125] lr: 8.0000e-02 eta: 2:06:36 time: 0.3655 data_time: 0.0709 memory: 6232 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0186 loss_cls: 0.1221 acc: 95.5566 loss_bbox: 0.1583 loss_mask: 0.2532 loss: 0.5661 2022/08/26 16:35:50 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:35:50 - mmengine - INFO - Epoch(train) [31][125/125] lr: 8.0000e-02 eta: 2:06:36 time: 0.3665 data_time: 0.0377 memory: 6278 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0177 loss_cls: 0.1133 acc: 95.6299 loss_bbox: 0.1511 loss_mask: 0.2442 loss: 0.5401 2022/08/26 16:35:54 - mmengine - INFO - Epoch(train) [32][5/125] lr: 8.0000e-02 eta: 2:06:36 time: 0.5969 data_time: 0.2517 memory: 7033 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0196 loss_cls: 0.1091 acc: 97.9248 loss_bbox: 0.1507 loss_mask: 0.2412 loss: 0.5346 2022/08/26 16:35:56 - mmengine - INFO - Epoch(train) [32][10/125] lr: 8.0000e-02 eta: 2:06:25 time: 0.6000 data_time: 0.3005 memory: 6039 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0175 loss_cls: 0.1099 acc: 97.0703 loss_bbox: 0.1459 loss_mask: 0.2686 loss: 0.5562 2022/08/26 16:35:58 - mmengine - INFO - Epoch(train) [32][15/125] lr: 8.0000e-02 eta: 2:06:25 time: 0.4022 data_time: 0.1177 memory: 6493 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0196 loss_cls: 0.1142 acc: 95.3857 loss_bbox: 0.1451 loss_mask: 0.2824 loss: 0.5796 2022/08/26 16:36:01 - mmengine - INFO - Epoch(train) [32][20/125] lr: 8.0000e-02 eta: 2:06:18 time: 0.4120 data_time: 0.1412 memory: 6218 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0210 loss_cls: 0.1077 acc: 94.5801 loss_bbox: 0.1315 loss_mask: 0.2479 loss: 0.5266 2022/08/26 16:36:02 - mmengine - INFO - Epoch(train) [32][25/125] lr: 8.0000e-02 eta: 2:06:18 time: 0.4073 data_time: 0.1289 memory: 6855 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0165 loss_cls: 0.1069 acc: 95.7275 loss_bbox: 0.1359 loss_mask: 0.2330 loss: 0.5067 2022/08/26 16:36:04 - mmengine - INFO - Epoch(train) [32][30/125] lr: 8.0000e-02 eta: 2:06:09 time: 0.3682 data_time: 0.0847 memory: 6262 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0165 loss_cls: 0.1106 acc: 94.4580 loss_bbox: 0.1530 loss_mask: 0.2629 loss: 0.5567 2022/08/26 16:36:06 - mmengine - INFO - Epoch(train) [32][35/125] lr: 8.0000e-02 eta: 2:06:09 time: 0.3612 data_time: 0.0861 memory: 6269 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0171 loss_cls: 0.1054 acc: 96.9238 loss_bbox: 0.1491 loss_mask: 0.2661 loss: 0.5513 2022/08/26 16:36:08 - mmengine - INFO - Epoch(train) [32][40/125] lr: 8.0000e-02 eta: 2:06:01 time: 0.4005 data_time: 0.1255 memory: 6412 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0169 loss_cls: 0.1075 acc: 93.2617 loss_bbox: 0.1504 loss_mask: 0.2499 loss: 0.5366 2022/08/26 16:36:10 - mmengine - INFO - Epoch(train) [32][45/125] lr: 8.0000e-02 eta: 2:06:01 time: 0.4049 data_time: 0.1345 memory: 6134 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0137 loss_cls: 0.1121 acc: 96.4844 loss_bbox: 0.1454 loss_mask: 0.2493 loss: 0.5319 2022/08/26 16:36:13 - mmengine - INFO - Epoch(train) [32][50/125] lr: 8.0000e-02 eta: 2:05:58 time: 0.5058 data_time: 0.1103 memory: 6166 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0137 loss_cls: 0.1127 acc: 96.0938 loss_bbox: 0.1441 loss_mask: 0.2426 loss: 0.5233 2022/08/26 16:36:15 - mmengine - INFO - Epoch(train) [32][55/125] lr: 8.0000e-02 eta: 2:05:58 time: 0.5014 data_time: 0.1019 memory: 6367 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0176 loss_cls: 0.1151 acc: 95.0928 loss_bbox: 0.1593 loss_mask: 0.2515 loss: 0.5554 2022/08/26 16:36:17 - mmengine - INFO - Epoch(train) [32][60/125] lr: 8.0000e-02 eta: 2:05:49 time: 0.3785 data_time: 0.1065 memory: 6137 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0148 loss_cls: 0.1109 acc: 97.9736 loss_bbox: 0.1523 loss_mask: 0.2531 loss: 0.5480 2022/08/26 16:36:19 - mmengine - INFO - Epoch(train) [32][65/125] lr: 8.0000e-02 eta: 2:05:49 time: 0.4237 data_time: 0.1082 memory: 7697 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0146 loss_cls: 0.1195 acc: 94.6533 loss_bbox: 0.1668 loss_mask: 0.2499 loss: 0.5712 2022/08/26 16:36:22 - mmengine - INFO - Epoch(train) [32][70/125] lr: 8.0000e-02 eta: 2:05:44 time: 0.4586 data_time: 0.1300 memory: 6470 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0165 loss_cls: 0.1274 acc: 96.1182 loss_bbox: 0.1773 loss_mask: 0.2514 loss: 0.5897 2022/08/26 16:36:23 - mmengine - INFO - Epoch(train) [32][75/125] lr: 8.0000e-02 eta: 2:05:44 time: 0.4076 data_time: 0.1269 memory: 6114 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0138 loss_cls: 0.1235 acc: 93.8721 loss_bbox: 0.1548 loss_mask: 0.2600 loss: 0.5667 2022/08/26 16:36:25 - mmengine - INFO - Epoch(train) [32][80/125] lr: 8.0000e-02 eta: 2:05:35 time: 0.3497 data_time: 0.0838 memory: 6340 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0136 loss_cls: 0.1160 acc: 94.0918 loss_bbox: 0.1505 loss_mask: 0.2616 loss: 0.5572 2022/08/26 16:36:27 - mmengine - INFO - Epoch(train) [32][85/125] lr: 8.0000e-02 eta: 2:05:35 time: 0.3668 data_time: 0.0807 memory: 7130 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0164 loss_cls: 0.1103 acc: 95.0928 loss_bbox: 0.1464 loss_mask: 0.2529 loss: 0.5409 2022/08/26 16:36:29 - mmengine - INFO - Epoch(train) [32][90/125] lr: 8.0000e-02 eta: 2:05:26 time: 0.3764 data_time: 0.0833 memory: 6422 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0208 loss_cls: 0.1261 acc: 94.9463 loss_bbox: 0.1516 loss_mask: 0.2592 loss: 0.5753 2022/08/26 16:36:32 - mmengine - INFO - Epoch(train) [32][95/125] lr: 8.0000e-02 eta: 2:05:26 time: 0.4372 data_time: 0.1507 memory: 6356 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0177 loss_cls: 0.1275 acc: 94.4824 loss_bbox: 0.1475 loss_mask: 0.2660 loss: 0.5773 2022/08/26 16:36:34 - mmengine - INFO - Epoch(train) [32][100/125] lr: 8.0000e-02 eta: 2:05:22 time: 0.4770 data_time: 0.1718 memory: 6176 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0128 loss_cls: 0.1112 acc: 96.2646 loss_bbox: 0.1362 loss_mask: 0.2570 loss: 0.5349 2022/08/26 16:36:35 - mmengine - INFO - Epoch(train) [32][105/125] lr: 8.0000e-02 eta: 2:05:22 time: 0.3963 data_time: 0.1079 memory: 6144 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0158 loss_cls: 0.0977 acc: 96.7773 loss_bbox: 0.1325 loss_mask: 0.2436 loss: 0.5048 2022/08/26 16:36:37 - mmengine - INFO - Epoch(train) [32][110/125] lr: 8.0000e-02 eta: 2:05:12 time: 0.3453 data_time: 0.0801 memory: 6266 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0204 loss_cls: 0.1039 acc: 96.7773 loss_bbox: 0.1455 loss_mask: 0.2497 loss: 0.5354 2022/08/26 16:36:40 - mmengine - INFO - Epoch(train) [32][115/125] lr: 8.0000e-02 eta: 2:05:12 time: 0.4092 data_time: 0.1411 memory: 6311 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0171 loss_cls: 0.1102 acc: 95.1416 loss_bbox: 0.1554 loss_mask: 0.2560 loss: 0.5532 2022/08/26 16:36:41 - mmengine - INFO - Epoch(train) [32][120/125] lr: 8.0000e-02 eta: 2:05:04 time: 0.3931 data_time: 0.1242 memory: 5935 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0130 loss_cls: 0.1050 acc: 96.0693 loss_bbox: 0.1399 loss_mask: 0.2550 loss: 0.5270 2022/08/26 16:36:43 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:36:43 - mmengine - INFO - Epoch(train) [32][125/125] lr: 8.0000e-02 eta: 2:05:04 time: 0.3520 data_time: 0.0632 memory: 7065 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0168 loss_cls: 0.1152 acc: 97.3633 loss_bbox: 0.1460 loss_mask: 0.2525 loss: 0.5483 2022/08/26 16:36:47 - mmengine - INFO - Epoch(train) [33][5/125] lr: 8.0000e-02 eta: 2:05:04 time: 0.5540 data_time: 0.2669 memory: 6141 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0182 loss_cls: 0.1137 acc: 95.7520 loss_bbox: 0.1489 loss_mask: 0.2555 loss: 0.5515 2022/08/26 16:36:49 - mmengine - INFO - Epoch(train) [33][10/125] lr: 8.0000e-02 eta: 2:04:51 time: 0.5466 data_time: 0.2780 memory: 6278 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0134 loss_cls: 0.1005 acc: 96.5820 loss_bbox: 0.1347 loss_mask: 0.2594 loss: 0.5195 2022/08/26 16:36:51 - mmengine - INFO - Epoch(train) [33][15/125] lr: 8.0000e-02 eta: 2:04:51 time: 0.3935 data_time: 0.0814 memory: 7411 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0128 loss_cls: 0.1103 acc: 95.5078 loss_bbox: 0.1571 loss_mask: 0.2538 loss: 0.5461 2022/08/26 16:36:54 - mmengine - INFO - Epoch(train) [33][20/125] lr: 8.0000e-02 eta: 2:04:46 time: 0.4613 data_time: 0.0962 memory: 6936 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0175 loss_cls: 0.1113 acc: 96.9727 loss_bbox: 0.1562 loss_mask: 0.2638 loss: 0.5721 2022/08/26 16:36:56 - mmengine - INFO - Epoch(train) [33][25/125] lr: 8.0000e-02 eta: 2:04:46 time: 0.4669 data_time: 0.1435 memory: 6156 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0155 loss_cls: 0.0948 acc: 96.1914 loss_bbox: 0.1287 loss_mask: 0.2531 loss: 0.5133 2022/08/26 16:36:58 - mmengine - INFO - Epoch(train) [33][30/125] lr: 8.0000e-02 eta: 2:04:39 time: 0.3976 data_time: 0.1307 memory: 6095 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0107 loss_cls: 0.0841 acc: 97.4854 loss_bbox: 0.1204 loss_mask: 0.2379 loss: 0.4648 2022/08/26 16:37:00 - mmengine - INFO - Epoch(train) [33][35/125] lr: 8.0000e-02 eta: 2:04:39 time: 0.3904 data_time: 0.1014 memory: 7573 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0135 loss_cls: 0.0965 acc: 95.5566 loss_bbox: 0.1474 loss_mask: 0.2355 loss: 0.5055 2022/08/26 16:37:02 - mmengine - INFO - Epoch(train) [33][40/125] lr: 8.0000e-02 eta: 2:04:31 time: 0.4064 data_time: 0.0957 memory: 7085 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0185 loss_cls: 0.1192 acc: 95.0195 loss_bbox: 0.1801 loss_mask: 0.2467 loss: 0.5797 2022/08/26 16:37:03 - mmengine - INFO - Epoch(train) [33][45/125] lr: 8.0000e-02 eta: 2:04:31 time: 0.3644 data_time: 0.0789 memory: 6339 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0167 loss_cls: 0.1132 acc: 97.7539 loss_bbox: 0.1548 loss_mask: 0.2623 loss: 0.5630 2022/08/26 16:37:05 - mmengine - INFO - Epoch(train) [33][50/125] lr: 8.0000e-02 eta: 2:04:22 time: 0.3524 data_time: 0.0817 memory: 6026 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0130 loss_cls: 0.0955 acc: 95.0195 loss_bbox: 0.1217 loss_mask: 0.2572 loss: 0.5002 2022/08/26 16:37:07 - mmengine - INFO - Epoch(train) [33][55/125] lr: 8.0000e-02 eta: 2:04:22 time: 0.4056 data_time: 0.1340 memory: 6045 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0122 loss_cls: 0.0896 acc: 95.8984 loss_bbox: 0.1097 loss_mask: 0.2551 loss: 0.4789 2022/08/26 16:37:09 - mmengine - INFO - Epoch(train) [33][60/125] lr: 8.0000e-02 eta: 2:04:15 time: 0.4078 data_time: 0.1177 memory: 7536 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0175 loss_cls: 0.1082 acc: 95.3369 loss_bbox: 0.1406 loss_mask: 0.2502 loss: 0.5325 2022/08/26 16:37:12 - mmengine - INFO - Epoch(train) [33][65/125] lr: 8.0000e-02 eta: 2:04:15 time: 0.4317 data_time: 0.0826 memory: 6242 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0195 loss_cls: 0.1165 acc: 97.7539 loss_bbox: 0.1623 loss_mask: 0.2486 loss: 0.5644 2022/08/26 16:37:15 - mmengine - INFO - Epoch(train) [33][70/125] lr: 8.0000e-02 eta: 2:04:13 time: 0.5308 data_time: 0.1968 memory: 6045 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0136 loss_cls: 0.1053 acc: 96.8262 loss_bbox: 0.1397 loss_mask: 0.2544 loss: 0.5307 2022/08/26 16:37:16 - mmengine - INFO - Epoch(train) [33][75/125] lr: 8.0000e-02 eta: 2:04:13 time: 0.4641 data_time: 0.1825 memory: 6232 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0144 loss_cls: 0.0996 acc: 96.2891 loss_bbox: 0.1329 loss_mask: 0.2455 loss: 0.5093 2022/08/26 16:37:18 - mmengine - INFO - Epoch(train) [33][80/125] lr: 8.0000e-02 eta: 2:04:05 time: 0.3805 data_time: 0.1084 memory: 6271 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0138 loss_cls: 0.0931 acc: 96.5820 loss_bbox: 0.1259 loss_mask: 0.2396 loss: 0.4845 2022/08/26 16:37:20 - mmengine - INFO - Epoch(train) [33][85/125] lr: 8.0000e-02 eta: 2:04:05 time: 0.3898 data_time: 0.1190 memory: 6288 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0137 loss_cls: 0.1149 acc: 93.7988 loss_bbox: 0.1419 loss_mask: 0.2557 loss: 0.5416 2022/08/26 16:37:22 - mmengine - INFO - Epoch(train) [33][90/125] lr: 8.0000e-02 eta: 2:03:56 time: 0.3677 data_time: 0.0744 memory: 6271 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0152 loss_cls: 0.1205 acc: 95.2637 loss_bbox: 0.1453 loss_mask: 0.2617 loss: 0.5594 2022/08/26 16:37:24 - mmengine - INFO - Epoch(train) [33][95/125] lr: 8.0000e-02 eta: 2:03:56 time: 0.3472 data_time: 0.0597 memory: 5911 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0146 loss_cls: 0.1018 acc: 95.5322 loss_bbox: 0.1211 loss_mask: 0.2524 loss: 0.5030 2022/08/26 16:37:25 - mmengine - INFO - Epoch(train) [33][100/125] lr: 8.0000e-02 eta: 2:03:46 time: 0.3198 data_time: 0.0524 memory: 6313 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0163 loss_cls: 0.1097 acc: 95.8496 loss_bbox: 0.1376 loss_mask: 0.2664 loss: 0.5421 2022/08/26 16:37:27 - mmengine - INFO - Epoch(train) [33][105/125] lr: 8.0000e-02 eta: 2:03:46 time: 0.3338 data_time: 0.0665 memory: 6203 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0135 loss_cls: 0.1054 acc: 95.5322 loss_bbox: 0.1358 loss_mask: 0.2643 loss: 0.5323 2022/08/26 16:37:29 - mmengine - INFO - Epoch(train) [33][110/125] lr: 8.0000e-02 eta: 2:03:38 time: 0.3849 data_time: 0.1076 memory: 6273 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0140 loss_cls: 0.1037 acc: 95.2393 loss_bbox: 0.1296 loss_mask: 0.2462 loss: 0.5098 2022/08/26 16:37:32 - mmengine - INFO - Epoch(train) [33][115/125] lr: 8.0000e-02 eta: 2:03:38 time: 0.4485 data_time: 0.1026 memory: 6369 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0153 loss_cls: 0.1184 acc: 96.2891 loss_bbox: 0.1570 loss_mask: 0.2541 loss: 0.5601 2022/08/26 16:37:34 - mmengine - INFO - Epoch(train) [33][120/125] lr: 8.0000e-02 eta: 2:03:33 time: 0.4517 data_time: 0.0878 memory: 6197 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0144 loss_cls: 0.1139 acc: 95.0195 loss_bbox: 0.1590 loss_mask: 0.2531 loss: 0.5530 2022/08/26 16:37:35 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:37:35 - mmengine - INFO - Epoch(train) [33][125/125] lr: 8.0000e-02 eta: 2:03:33 time: 0.3628 data_time: 0.0633 memory: 6120 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0151 loss_cls: 0.1095 acc: 95.8740 loss_bbox: 0.1538 loss_mask: 0.2423 loss: 0.5318 2022/08/26 16:37:38 - mmengine - INFO - Epoch(train) [34][5/125] lr: 8.0000e-02 eta: 2:03:33 time: 0.4301 data_time: 0.1355 memory: 6160 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0141 loss_cls: 0.1014 acc: 96.0938 loss_bbox: 0.1389 loss_mask: 0.2308 loss: 0.4954 2022/08/26 16:37:40 - mmengine - INFO - Epoch(train) [34][10/125] lr: 8.0000e-02 eta: 2:03:17 time: 0.4806 data_time: 0.1859 memory: 6104 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0141 loss_cls: 0.1008 acc: 96.3623 loss_bbox: 0.1347 loss_mask: 0.2471 loss: 0.5111 2022/08/26 16:37:42 - mmengine - INFO - Epoch(train) [34][15/125] lr: 8.0000e-02 eta: 2:03:17 time: 0.3828 data_time: 0.1069 memory: 6412 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0154 loss_cls: 0.1091 acc: 96.3623 loss_bbox: 0.1544 loss_mask: 0.2679 loss: 0.5626 2022/08/26 16:37:44 - mmengine - INFO - Epoch(train) [34][20/125] lr: 8.0000e-02 eta: 2:03:08 time: 0.3430 data_time: 0.0677 memory: 6222 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0124 loss_cls: 0.1081 acc: 94.5801 loss_bbox: 0.1445 loss_mask: 0.2616 loss: 0.5373 2022/08/26 16:37:46 - mmengine - INFO - Epoch(train) [34][25/125] lr: 8.0000e-02 eta: 2:03:08 time: 0.4022 data_time: 0.1358 memory: 6153 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0106 loss_cls: 0.0921 acc: 96.8750 loss_bbox: 0.1102 loss_mask: 0.2352 loss: 0.4584 2022/08/26 16:37:48 - mmengine - INFO - Epoch(train) [34][30/125] lr: 8.0000e-02 eta: 2:03:02 time: 0.4272 data_time: 0.1381 memory: 7037 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0167 loss_cls: 0.1047 acc: 95.6299 loss_bbox: 0.1376 loss_mask: 0.2456 loss: 0.5207 2022/08/26 16:37:50 - mmengine - INFO - Epoch(train) [34][35/125] lr: 8.0000e-02 eta: 2:03:02 time: 0.3675 data_time: 0.0722 memory: 5822 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0156 loss_cls: 0.1072 acc: 96.5820 loss_bbox: 0.1447 loss_mask: 0.2700 loss: 0.5513 2022/08/26 16:37:53 - mmengine - INFO - Epoch(train) [34][40/125] lr: 8.0000e-02 eta: 2:02:58 time: 0.4966 data_time: 0.1663 memory: 7716 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0138 loss_cls: 0.1116 acc: 94.7266 loss_bbox: 0.1429 loss_mask: 0.2645 loss: 0.5465 2022/08/26 16:37:54 - mmengine - INFO - Epoch(train) [34][45/125] lr: 8.0000e-02 eta: 2:02:58 time: 0.4750 data_time: 0.1461 memory: 6232 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0190 loss_cls: 0.1255 acc: 96.5576 loss_bbox: 0.1617 loss_mask: 0.2436 loss: 0.5649 2022/08/26 16:37:56 - mmengine - INFO - Epoch(train) [34][50/125] lr: 8.0000e-02 eta: 2:02:50 time: 0.3568 data_time: 0.0846 memory: 6382 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0203 loss_cls: 0.1123 acc: 95.4346 loss_bbox: 0.1422 loss_mask: 0.2416 loss: 0.5322 2022/08/26 16:37:58 - mmengine - INFO - Epoch(train) [34][55/125] lr: 8.0000e-02 eta: 2:02:50 time: 0.3859 data_time: 0.1127 memory: 6463 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0208 loss_cls: 0.1146 acc: 96.1426 loss_bbox: 0.1432 loss_mask: 0.2410 loss: 0.5362 2022/08/26 16:38:00 - mmengine - INFO - Epoch(train) [34][60/125] lr: 8.0000e-02 eta: 2:02:41 time: 0.3524 data_time: 0.0774 memory: 6245 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0171 loss_cls: 0.1149 acc: 96.2891 loss_bbox: 0.1500 loss_mask: 0.2252 loss: 0.5198 2022/08/26 16:38:02 - mmengine - INFO - Epoch(train) [34][65/125] lr: 8.0000e-02 eta: 2:02:41 time: 0.4067 data_time: 0.1074 memory: 6392 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0157 loss_cls: 0.1112 acc: 94.4580 loss_bbox: 0.1477 loss_mask: 0.2316 loss: 0.5200 2022/08/26 16:38:04 - mmengine - INFO - Epoch(train) [34][70/125] lr: 8.0000e-02 eta: 2:02:35 time: 0.4379 data_time: 0.1451 memory: 6164 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0168 loss_cls: 0.1081 acc: 97.2900 loss_bbox: 0.1393 loss_mask: 0.2413 loss: 0.5190 2022/08/26 16:38:06 - mmengine - INFO - Epoch(train) [34][75/125] lr: 8.0000e-02 eta: 2:02:35 time: 0.3793 data_time: 0.1171 memory: 6128 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0143 loss_cls: 0.0901 acc: 98.7549 loss_bbox: 0.1169 loss_mask: 0.2399 loss: 0.4735 2022/08/26 16:38:09 - mmengine - INFO - Epoch(train) [34][80/125] lr: 8.0000e-02 eta: 2:02:30 time: 0.4546 data_time: 0.1686 memory: 7097 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0131 loss_cls: 0.0882 acc: 96.2402 loss_bbox: 0.1189 loss_mask: 0.2587 loss: 0.4924 2022/08/26 16:38:11 - mmengine - INFO - Epoch(train) [34][85/125] lr: 8.0000e-02 eta: 2:02:30 time: 0.4598 data_time: 0.1608 memory: 6496 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0146 loss_cls: 0.1089 acc: 94.0186 loss_bbox: 0.1449 loss_mask: 0.2543 loss: 0.5379 2022/08/26 16:38:13 - mmengine - INFO - Epoch(train) [34][90/125] lr: 8.0000e-02 eta: 2:02:23 time: 0.4014 data_time: 0.1146 memory: 6298 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0163 loss_cls: 0.1131 acc: 94.8975 loss_bbox: 0.1491 loss_mask: 0.2485 loss: 0.5430 2022/08/26 16:38:15 - mmengine - INFO - Epoch(train) [34][95/125] lr: 8.0000e-02 eta: 2:02:23 time: 0.3885 data_time: 0.1080 memory: 6357 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0193 loss_cls: 0.1098 acc: 95.4590 loss_bbox: 0.1494 loss_mask: 0.2750 loss: 0.5698 2022/08/26 16:38:16 - mmengine - INFO - Epoch(train) [34][100/125] lr: 8.0000e-02 eta: 2:02:13 time: 0.3380 data_time: 0.0687 memory: 5867 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0146 loss_cls: 0.0900 acc: 97.9736 loss_bbox: 0.1283 loss_mask: 0.2652 loss: 0.5099 2022/08/26 16:38:18 - mmengine - INFO - Epoch(train) [34][105/125] lr: 8.0000e-02 eta: 2:02:13 time: 0.3349 data_time: 0.0582 memory: 6329 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0099 loss_cls: 0.0914 acc: 95.7031 loss_bbox: 0.1359 loss_mask: 0.2621 loss: 0.5088 2022/08/26 16:38:20 - mmengine - INFO - Epoch(train) [34][110/125] lr: 8.0000e-02 eta: 2:02:05 time: 0.3578 data_time: 0.0745 memory: 6343 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0193 loss_cls: 0.1114 acc: 96.1670 loss_bbox: 0.1647 loss_mask: 0.2523 loss: 0.5632 2022/08/26 16:38:22 - mmengine - INFO - Epoch(train) [34][115/125] lr: 8.0000e-02 eta: 2:02:05 time: 0.3854 data_time: 0.1014 memory: 6339 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0224 loss_cls: 0.1144 acc: 95.7764 loss_bbox: 0.1587 loss_mask: 0.2585 loss: 0.5715 2022/08/26 16:38:24 - mmengine - INFO - Epoch(train) [34][120/125] lr: 8.0000e-02 eta: 2:01:58 time: 0.3989 data_time: 0.1208 memory: 6366 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0169 loss_cls: 0.1059 acc: 98.6572 loss_bbox: 0.1475 loss_mask: 0.2755 loss: 0.5607 2022/08/26 16:38:26 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:38:26 - mmengine - INFO - Epoch(train) [34][125/125] lr: 8.0000e-02 eta: 2:01:58 time: 0.3804 data_time: 0.0922 memory: 7179 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0145 loss_cls: 0.1097 acc: 94.3604 loss_bbox: 0.1583 loss_mask: 0.2609 loss: 0.5586 2022/08/26 16:38:28 - mmengine - INFO - Epoch(train) [35][5/125] lr: 8.0000e-02 eta: 2:01:58 time: 0.4212 data_time: 0.1366 memory: 5977 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0143 loss_cls: 0.1082 acc: 96.1182 loss_bbox: 0.1440 loss_mask: 0.2615 loss: 0.5427 2022/08/26 16:38:31 - mmengine - INFO - Epoch(train) [35][10/125] lr: 8.0000e-02 eta: 2:01:43 time: 0.4802 data_time: 0.2125 memory: 6345 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0194 loss_cls: 0.1092 acc: 94.0430 loss_bbox: 0.1401 loss_mask: 0.2738 loss: 0.5552 2022/08/26 16:38:33 - mmengine - INFO - Epoch(train) [35][15/125] lr: 8.0000e-02 eta: 2:01:43 time: 0.4914 data_time: 0.1799 memory: 7114 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0171 loss_cls: 0.1181 acc: 95.6055 loss_bbox: 0.1569 loss_mask: 0.2660 loss: 0.5712 2022/08/26 16:38:35 - mmengine - INFO - Epoch(train) [35][20/125] lr: 8.0000e-02 eta: 2:01:39 time: 0.4792 data_time: 0.1503 memory: 7121 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0143 loss_cls: 0.1151 acc: 96.4600 loss_bbox: 0.1471 loss_mask: 0.2711 loss: 0.5649 2022/08/26 16:38:37 - mmengine - INFO - Epoch(train) [35][25/125] lr: 8.0000e-02 eta: 2:01:39 time: 0.4026 data_time: 0.1122 memory: 6210 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0160 loss_cls: 0.1131 acc: 96.8994 loss_bbox: 0.1414 loss_mask: 0.2724 loss: 0.5594 2022/08/26 16:38:40 - mmengine - INFO - Epoch(train) [35][30/125] lr: 8.0000e-02 eta: 2:01:34 time: 0.4732 data_time: 0.1661 memory: 5973 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0126 loss_cls: 0.1105 acc: 95.8496 loss_bbox: 0.1359 loss_mask: 0.2634 loss: 0.5359 2022/08/26 16:38:42 - mmengine - INFO - Epoch(train) [35][35/125] lr: 8.0000e-02 eta: 2:01:34 time: 0.4740 data_time: 0.1580 memory: 6489 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0160 loss_cls: 0.1266 acc: 93.8232 loss_bbox: 0.1628 loss_mask: 0.2599 loss: 0.5844 2022/08/26 16:38:44 - mmengine - INFO - Epoch(train) [35][40/125] lr: 8.0000e-02 eta: 2:01:26 time: 0.3586 data_time: 0.0777 memory: 6145 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0161 loss_cls: 0.1231 acc: 96.5576 loss_bbox: 0.1734 loss_mask: 0.2603 loss: 0.5889 2022/08/26 16:38:46 - mmengine - INFO - Epoch(train) [35][45/125] lr: 8.0000e-02 eta: 2:01:26 time: 0.4662 data_time: 0.1932 memory: 6298 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0138 loss_cls: 0.1067 acc: 96.6553 loss_bbox: 0.1513 loss_mask: 0.2556 loss: 0.5401 2022/08/26 16:38:48 - mmengine - INFO - Epoch(train) [35][50/125] lr: 8.0000e-02 eta: 2:01:20 time: 0.4431 data_time: 0.1700 memory: 6506 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0159 loss_cls: 0.1079 acc: 95.3613 loss_bbox: 0.1522 loss_mask: 0.2542 loss: 0.5450 2022/08/26 16:38:50 - mmengine - INFO - Epoch(train) [35][55/125] lr: 8.0000e-02 eta: 2:01:20 time: 0.3724 data_time: 0.0955 memory: 6842 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0209 loss_cls: 0.1128 acc: 93.8477 loss_bbox: 0.1665 loss_mask: 0.2517 loss: 0.5654 2022/08/26 16:38:53 - mmengine - INFO - Epoch(train) [35][60/125] lr: 8.0000e-02 eta: 2:01:17 time: 0.4987 data_time: 0.1167 memory: 5911 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0180 loss_cls: 0.1064 acc: 95.8496 loss_bbox: 0.1437 loss_mask: 0.2509 loss: 0.5306 2022/08/26 16:38:55 - mmengine - INFO - Epoch(train) [35][65/125] lr: 8.0000e-02 eta: 2:01:17 time: 0.4424 data_time: 0.0684 memory: 6386 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0099 loss_cls: 0.0988 acc: 96.6064 loss_bbox: 0.1209 loss_mask: 0.2595 loss: 0.5000 2022/08/26 16:38:57 - mmengine - INFO - Epoch(train) [35][70/125] lr: 8.0000e-02 eta: 2:01:09 time: 0.3559 data_time: 0.0856 memory: 6019 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0095 loss_cls: 0.1066 acc: 95.6299 loss_bbox: 0.1348 loss_mask: 0.2606 loss: 0.5234 2022/08/26 16:38:58 - mmengine - INFO - Epoch(train) [35][75/125] lr: 8.0000e-02 eta: 2:01:09 time: 0.3697 data_time: 0.0977 memory: 6029 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0098 loss_cls: 0.1051 acc: 95.5811 loss_bbox: 0.1302 loss_mask: 0.2649 loss: 0.5212 2022/08/26 16:39:01 - mmengine - INFO - Epoch(train) [35][80/125] lr: 8.0000e-02 eta: 2:01:03 time: 0.4298 data_time: 0.1564 memory: 6225 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0147 loss_cls: 0.1018 acc: 95.4346 loss_bbox: 0.1261 loss_mask: 0.2642 loss: 0.5213 2022/08/26 16:39:04 - mmengine - INFO - Epoch(train) [35][85/125] lr: 8.0000e-02 eta: 2:01:03 time: 0.5820 data_time: 0.2592 memory: 7475 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0207 loss_cls: 0.1163 acc: 96.9727 loss_bbox: 0.1600 loss_mask: 0.2540 loss: 0.5660 2022/08/26 16:39:07 - mmengine - INFO - Epoch(train) [35][90/125] lr: 8.0000e-02 eta: 2:01:03 time: 0.5992 data_time: 0.2796 memory: 6419 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0195 loss_cls: 0.1248 acc: 95.6543 loss_bbox: 0.1775 loss_mask: 0.2495 loss: 0.5863 2022/08/26 16:39:10 - mmengine - INFO - Epoch(train) [35][95/125] lr: 8.0000e-02 eta: 2:01:03 time: 0.5721 data_time: 0.2972 memory: 6388 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0158 loss_cls: 0.1215 acc: 97.3877 loss_bbox: 0.1683 loss_mask: 0.2629 loss: 0.5863 2022/08/26 16:39:13 - mmengine - INFO - Epoch(train) [35][100/125] lr: 8.0000e-02 eta: 2:01:03 time: 0.5872 data_time: 0.2657 memory: 6228 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0135 loss_cls: 0.1130 acc: 97.0215 loss_bbox: 0.1588 loss_mask: 0.2611 loss: 0.5607 2022/08/26 16:39:15 - mmengine - INFO - Epoch(train) [35][105/125] lr: 8.0000e-02 eta: 2:01:03 time: 0.4829 data_time: 0.1641 memory: 6496 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0134 loss_cls: 0.1170 acc: 94.8975 loss_bbox: 0.1685 loss_mask: 0.2529 loss: 0.5663 2022/08/26 16:39:17 - mmengine - INFO - Epoch(train) [35][110/125] lr: 8.0000e-02 eta: 2:00:55 time: 0.3836 data_time: 0.0894 memory: 7670 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0203 loss_cls: 0.1280 acc: 91.2842 loss_bbox: 0.1822 loss_mask: 0.2470 loss: 0.5939 2022/08/26 16:39:18 - mmengine - INFO - Epoch(train) [35][115/125] lr: 8.0000e-02 eta: 2:00:55 time: 0.3588 data_time: 0.0603 memory: 6418 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0205 loss_cls: 0.1222 acc: 95.9229 loss_bbox: 0.1691 loss_mask: 0.2548 loss: 0.5818 2022/08/26 16:39:20 - mmengine - INFO - Epoch(train) [35][120/125] lr: 8.0000e-02 eta: 2:00:47 time: 0.3728 data_time: 0.0927 memory: 6301 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0197 loss_cls: 0.1141 acc: 95.5811 loss_bbox: 0.1526 loss_mask: 0.2472 loss: 0.5488 2022/08/26 16:39:22 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:39:22 - mmengine - INFO - Epoch(train) [35][125/125] lr: 8.0000e-02 eta: 2:00:47 time: 0.3962 data_time: 0.0975 memory: 6252 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0199 loss_cls: 0.1060 acc: 96.1670 loss_bbox: 0.1402 loss_mask: 0.2347 loss: 0.5157 2022/08/26 16:39:27 - mmengine - INFO - Epoch(train) [36][5/125] lr: 8.0000e-02 eta: 2:00:47 time: 0.6738 data_time: 0.3748 memory: 6101 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0128 loss_cls: 0.1056 acc: 95.7031 loss_bbox: 0.1420 loss_mask: 0.2710 loss: 0.5427 2022/08/26 16:39:29 - mmengine - INFO - Epoch(train) [36][10/125] lr: 8.0000e-02 eta: 2:00:38 time: 0.6406 data_time: 0.3649 memory: 6340 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0103 loss_cls: 0.0996 acc: 96.2891 loss_bbox: 0.1440 loss_mask: 0.2688 loss: 0.5297 2022/08/26 16:39:31 - mmengine - INFO - Epoch(train) [36][15/125] lr: 8.0000e-02 eta: 2:00:38 time: 0.3563 data_time: 0.0809 memory: 6463 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0223 loss_cls: 0.1004 acc: 95.1660 loss_bbox: 0.1486 loss_mask: 0.2585 loss: 0.5411 2022/08/26 16:39:32 - mmengine - INFO - Epoch(train) [36][20/125] lr: 8.0000e-02 eta: 2:00:31 time: 0.3715 data_time: 0.0969 memory: 5868 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0284 loss_cls: 0.0970 acc: 96.9971 loss_bbox: 0.1301 loss_mask: 0.2673 loss: 0.5373 2022/08/26 16:39:35 - mmengine - INFO - Epoch(train) [36][25/125] lr: 8.0000e-02 eta: 2:00:31 time: 0.4286 data_time: 0.1376 memory: 6177 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0218 loss_cls: 0.0957 acc: 94.9707 loss_bbox: 0.1222 loss_mask: 0.2477 loss: 0.5027 2022/08/26 16:39:37 - mmengine - INFO - Epoch(train) [36][30/125] lr: 8.0000e-02 eta: 2:00:24 time: 0.4149 data_time: 0.1220 memory: 6217 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0169 loss_cls: 0.1030 acc: 97.6562 loss_bbox: 0.1342 loss_mask: 0.2613 loss: 0.5303 2022/08/26 16:39:39 - mmengine - INFO - Epoch(train) [36][35/125] lr: 8.0000e-02 eta: 2:00:24 time: 0.3984 data_time: 0.0984 memory: 6431 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0124 loss_cls: 0.0975 acc: 97.5342 loss_bbox: 0.1262 loss_mask: 0.2620 loss: 0.5096 2022/08/26 16:39:41 - mmengine - INFO - Epoch(train) [36][40/125] lr: 8.0000e-02 eta: 2:00:19 time: 0.4425 data_time: 0.1058 memory: 6206 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0165 loss_cls: 0.1044 acc: 96.7041 loss_bbox: 0.1385 loss_mask: 0.2505 loss: 0.5237 2022/08/26 16:39:43 - mmengine - INFO - Epoch(train) [36][45/125] lr: 8.0000e-02 eta: 2:00:19 time: 0.3780 data_time: 0.0622 memory: 6362 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0189 loss_cls: 0.1272 acc: 95.5566 loss_bbox: 0.1659 loss_mask: 0.2673 loss: 0.5949 2022/08/26 16:39:44 - mmengine - INFO - Epoch(train) [36][50/125] lr: 8.0000e-02 eta: 2:00:10 time: 0.3457 data_time: 0.0634 memory: 6490 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0238 loss_cls: 0.1307 acc: 95.4834 loss_bbox: 0.1631 loss_mask: 0.2667 loss: 0.6049 2022/08/26 16:39:47 - mmengine - INFO - Epoch(train) [36][55/125] lr: 8.0000e-02 eta: 2:00:10 time: 0.3715 data_time: 0.0937 memory: 6281 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0239 loss_cls: 0.1138 acc: 95.7764 loss_bbox: 0.1512 loss_mask: 0.2462 loss: 0.5540 2022/08/26 16:39:48 - mmengine - INFO - Epoch(train) [36][60/125] lr: 8.0000e-02 eta: 2:00:03 time: 0.3881 data_time: 0.0966 memory: 7184 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0164 loss_cls: 0.1175 acc: 95.0928 loss_bbox: 0.1607 loss_mask: 0.2504 loss: 0.5583 2022/08/26 16:39:51 - mmengine - INFO - Epoch(train) [36][65/125] lr: 8.0000e-02 eta: 2:00:03 time: 0.3998 data_time: 0.1079 memory: 6385 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0158 loss_cls: 0.1140 acc: 94.8975 loss_bbox: 0.1522 loss_mask: 0.2611 loss: 0.5572 2022/08/26 16:39:53 - mmengine - INFO - Epoch(train) [36][70/125] lr: 8.0000e-02 eta: 1:59:58 time: 0.4645 data_time: 0.1434 memory: 6493 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0139 loss_cls: 0.1032 acc: 96.6309 loss_bbox: 0.1442 loss_mask: 0.2512 loss: 0.5242 2022/08/26 16:39:55 - mmengine - INFO - Epoch(train) [36][75/125] lr: 8.0000e-02 eta: 1:59:58 time: 0.4283 data_time: 0.1049 memory: 6308 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0142 loss_cls: 0.1158 acc: 96.2158 loss_bbox: 0.1606 loss_mask: 0.2466 loss: 0.5501 2022/08/26 16:39:57 - mmengine - INFO - Epoch(train) [36][80/125] lr: 8.0000e-02 eta: 1:59:50 time: 0.3593 data_time: 0.0776 memory: 6457 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0169 loss_cls: 0.1253 acc: 96.4111 loss_bbox: 0.1637 loss_mask: 0.2581 loss: 0.5871 2022/08/26 16:39:58 - mmengine - INFO - Epoch(train) [36][85/125] lr: 8.0000e-02 eta: 1:59:50 time: 0.3610 data_time: 0.0839 memory: 5999 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0151 loss_cls: 0.1103 acc: 97.6318 loss_bbox: 0.1393 loss_mask: 0.2771 loss: 0.5646 2022/08/26 16:40:00 - mmengine - INFO - Epoch(train) [36][90/125] lr: 8.0000e-02 eta: 1:59:41 time: 0.3464 data_time: 0.0721 memory: 6204 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0139 loss_cls: 0.1018 acc: 95.8008 loss_bbox: 0.1288 loss_mask: 0.2801 loss: 0.5406 2022/08/26 16:40:02 - mmengine - INFO - Epoch(train) [36][95/125] lr: 8.0000e-02 eta: 1:59:41 time: 0.3307 data_time: 0.0515 memory: 6390 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0157 loss_cls: 0.1041 acc: 96.8262 loss_bbox: 0.1384 loss_mask: 0.2573 loss: 0.5301 2022/08/26 16:40:05 - mmengine - INFO - Epoch(train) [36][100/125] lr: 8.0000e-02 eta: 1:59:38 time: 0.5115 data_time: 0.1729 memory: 6463 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0145 loss_cls: 0.1041 acc: 97.8271 loss_bbox: 0.1368 loss_mask: 0.2410 loss: 0.5076 2022/08/26 16:40:07 - mmengine - INFO - Epoch(train) [36][105/125] lr: 8.0000e-02 eta: 1:59:38 time: 0.5162 data_time: 0.1784 memory: 6828 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0147 loss_cls: 0.1309 acc: 96.3135 loss_bbox: 0.1596 loss_mask: 0.2504 loss: 0.5690 2022/08/26 16:40:09 - mmengine - INFO - Epoch(train) [36][110/125] lr: 8.0000e-02 eta: 1:59:30 time: 0.3515 data_time: 0.0770 memory: 6292 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0146 loss_cls: 0.1297 acc: 96.9238 loss_bbox: 0.1572 loss_mask: 0.2507 loss: 0.5665 2022/08/26 16:40:11 - mmengine - INFO - Epoch(train) [36][115/125] lr: 8.0000e-02 eta: 1:59:30 time: 0.3654 data_time: 0.0769 memory: 7235 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0136 loss_cls: 0.1098 acc: 97.6318 loss_bbox: 0.1486 loss_mask: 0.2528 loss: 0.5377 2022/08/26 16:40:12 - mmengine - INFO - Epoch(train) [36][120/125] lr: 8.0000e-02 eta: 1:59:22 time: 0.3590 data_time: 0.0521 memory: 6226 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0127 loss_cls: 0.1124 acc: 94.5557 loss_bbox: 0.1564 loss_mask: 0.2537 loss: 0.5477 2022/08/26 16:40:14 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:40:14 - mmengine - INFO - Epoch(train) [36][125/125] lr: 8.0000e-02 eta: 1:59:22 time: 0.3673 data_time: 0.0792 memory: 6492 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0116 loss_cls: 0.1070 acc: 96.3135 loss_bbox: 0.1495 loss_mask: 0.2423 loss: 0.5226 2022/08/26 16:40:17 - mmengine - INFO - Epoch(train) [37][5/125] lr: 8.0000e-02 eta: 1:59:22 time: 0.4868 data_time: 0.2145 memory: 6324 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0158 loss_cls: 0.1062 acc: 95.2393 loss_bbox: 0.1472 loss_mask: 0.2367 loss: 0.5191 2022/08/26 16:40:19 - mmengine - INFO - Epoch(train) [37][10/125] lr: 8.0000e-02 eta: 1:59:08 time: 0.5083 data_time: 0.2103 memory: 7387 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0188 loss_cls: 0.1222 acc: 95.2393 loss_bbox: 0.1670 loss_mask: 0.2552 loss: 0.5812 2022/08/26 16:40:21 - mmengine - INFO - Epoch(train) [37][15/125] lr: 8.0000e-02 eta: 1:59:08 time: 0.3957 data_time: 0.0917 memory: 6235 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0189 loss_cls: 0.1405 acc: 94.4092 loss_bbox: 0.1881 loss_mask: 0.2652 loss: 0.6333 2022/08/26 16:40:24 - mmengine - INFO - Epoch(train) [37][20/125] lr: 8.0000e-02 eta: 1:59:04 time: 0.4546 data_time: 0.1556 memory: 6068 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0162 loss_cls: 0.1258 acc: 94.6777 loss_bbox: 0.1595 loss_mask: 0.2511 loss: 0.5686 2022/08/26 16:40:26 - mmengine - INFO - Epoch(train) [37][25/125] lr: 8.0000e-02 eta: 1:59:04 time: 0.4990 data_time: 0.1835 memory: 7162 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0144 loss_cls: 0.1094 acc: 96.4111 loss_bbox: 0.1437 loss_mask: 0.2590 loss: 0.5383 2022/08/26 16:40:28 - mmengine - INFO - Epoch(train) [37][30/125] lr: 8.0000e-02 eta: 1:58:57 time: 0.3906 data_time: 0.0961 memory: 6104 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0158 loss_cls: 0.1096 acc: 96.0449 loss_bbox: 0.1410 loss_mask: 0.2570 loss: 0.5362 2022/08/26 16:40:30 - mmengine - INFO - Epoch(train) [37][35/125] lr: 8.0000e-02 eta: 1:58:57 time: 0.3369 data_time: 0.0634 memory: 6343 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0156 loss_cls: 0.1061 acc: 95.8496 loss_bbox: 0.1389 loss_mask: 0.2503 loss: 0.5251 2022/08/26 16:40:31 - mmengine - INFO - Epoch(train) [37][40/125] lr: 8.0000e-02 eta: 1:58:48 time: 0.3401 data_time: 0.0665 memory: 6369 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0149 loss_cls: 0.1035 acc: 95.4590 loss_bbox: 0.1475 loss_mask: 0.2369 loss: 0.5151 2022/08/26 16:40:33 - mmengine - INFO - Epoch(train) [37][45/125] lr: 8.0000e-02 eta: 1:58:48 time: 0.3636 data_time: 0.0835 memory: 6447 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0143 loss_cls: 0.1169 acc: 94.5801 loss_bbox: 0.1593 loss_mask: 0.2319 loss: 0.5365 2022/08/26 16:40:35 - mmengine - INFO - Epoch(train) [37][50/125] lr: 8.0000e-02 eta: 1:58:40 time: 0.3728 data_time: 0.0935 memory: 6154 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0131 loss_cls: 0.1165 acc: 94.6045 loss_bbox: 0.1448 loss_mask: 0.2418 loss: 0.5334 2022/08/26 16:40:37 - mmengine - INFO - Epoch(train) [37][55/125] lr: 8.0000e-02 eta: 1:58:40 time: 0.3861 data_time: 0.1154 memory: 6542 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0138 loss_cls: 0.1011 acc: 93.5791 loss_bbox: 0.1260 loss_mask: 0.2407 loss: 0.4964 2022/08/26 16:40:39 - mmengine - INFO - Epoch(train) [37][60/125] lr: 8.0000e-02 eta: 1:58:33 time: 0.3781 data_time: 0.1087 memory: 5944 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0125 loss_cls: 0.0967 acc: 95.7764 loss_bbox: 0.1281 loss_mask: 0.2351 loss: 0.4831 2022/08/26 16:40:41 - mmengine - INFO - Epoch(train) [37][65/125] lr: 8.0000e-02 eta: 1:58:33 time: 0.3593 data_time: 0.0866 memory: 6350 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0132 loss_cls: 0.0966 acc: 96.9482 loss_bbox: 0.1304 loss_mask: 0.2386 loss: 0.4909 2022/08/26 16:40:43 - mmengine - INFO - Epoch(train) [37][70/125] lr: 8.0000e-02 eta: 1:58:27 time: 0.4363 data_time: 0.1024 memory: 6431 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0147 loss_cls: 0.1076 acc: 96.4600 loss_bbox: 0.1518 loss_mask: 0.2503 loss: 0.5372 2022/08/26 16:40:45 - mmengine - INFO - Epoch(train) [37][75/125] lr: 8.0000e-02 eta: 1:58:27 time: 0.4273 data_time: 0.0874 memory: 6232 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0124 loss_cls: 0.1105 acc: 95.1660 loss_bbox: 0.1521 loss_mask: 0.2553 loss: 0.5415 2022/08/26 16:40:47 - mmengine - INFO - Epoch(train) [37][80/125] lr: 8.0000e-02 eta: 1:58:19 time: 0.3598 data_time: 0.0681 memory: 6698 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0136 loss_cls: 0.1167 acc: 95.5811 loss_bbox: 0.1553 loss_mask: 0.2684 loss: 0.5653 2022/08/26 16:40:49 - mmengine - INFO - Epoch(train) [37][85/125] lr: 8.0000e-02 eta: 1:58:19 time: 0.3760 data_time: 0.0920 memory: 6183 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0179 loss_cls: 0.1176 acc: 95.2393 loss_bbox: 0.1558 loss_mask: 0.2586 loss: 0.5674 2022/08/26 16:40:51 - mmengine - INFO - Epoch(train) [37][90/125] lr: 8.0000e-02 eta: 1:58:13 time: 0.3991 data_time: 0.1253 memory: 6218 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0176 loss_cls: 0.1020 acc: 96.7529 loss_bbox: 0.1353 loss_mask: 0.2456 loss: 0.5182 2022/08/26 16:40:52 - mmengine - INFO - Epoch(train) [37][95/125] lr: 8.0000e-02 eta: 1:58:13 time: 0.3639 data_time: 0.0948 memory: 6045 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0119 loss_cls: 0.0944 acc: 95.8984 loss_bbox: 0.1277 loss_mask: 0.2460 loss: 0.4899 2022/08/26 16:40:54 - mmengine - INFO - Epoch(train) [37][100/125] lr: 8.0000e-02 eta: 1:58:04 time: 0.3265 data_time: 0.0411 memory: 7226 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0109 loss_cls: 0.1010 acc: 97.2656 loss_bbox: 0.1347 loss_mask: 0.2433 loss: 0.5007 2022/08/26 16:40:57 - mmengine - INFO - Epoch(train) [37][105/125] lr: 8.0000e-02 eta: 1:58:04 time: 0.4440 data_time: 0.1568 memory: 6035 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0124 loss_cls: 0.1029 acc: 98.2666 loss_bbox: 0.1387 loss_mask: 0.2572 loss: 0.5244 2022/08/26 16:40:58 - mmengine - INFO - Epoch(train) [37][110/125] lr: 8.0000e-02 eta: 1:57:58 time: 0.4403 data_time: 0.1706 memory: 5999 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0124 loss_cls: 0.0991 acc: 97.9248 loss_bbox: 0.1259 loss_mask: 0.2597 loss: 0.5114 2022/08/26 16:41:00 - mmengine - INFO - Epoch(train) [37][115/125] lr: 8.0000e-02 eta: 1:57:58 time: 0.3315 data_time: 0.0604 memory: 6164 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0121 loss_cls: 0.0924 acc: 97.6807 loss_bbox: 0.1180 loss_mask: 0.2340 loss: 0.4682 2022/08/26 16:41:02 - mmengine - INFO - Epoch(train) [37][120/125] lr: 8.0000e-02 eta: 1:57:50 time: 0.3501 data_time: 0.0633 memory: 6480 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0148 loss_cls: 0.0987 acc: 94.5312 loss_bbox: 0.1449 loss_mask: 0.2270 loss: 0.4963 2022/08/26 16:41:06 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:41:06 - mmengine - INFO - Epoch(train) [37][125/125] lr: 8.0000e-02 eta: 1:57:50 time: 0.5370 data_time: 0.2008 memory: 7245 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0148 loss_cls: 0.1144 acc: 95.8740 loss_bbox: 0.1614 loss_mask: 0.2463 loss: 0.5477 2022/08/26 16:41:09 - mmengine - INFO - Epoch(train) [38][5/125] lr: 8.0000e-02 eta: 1:57:50 time: 0.7372 data_time: 0.4118 memory: 6456 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0136 loss_cls: 0.1163 acc: 97.4365 loss_bbox: 0.1449 loss_mask: 0.2435 loss: 0.5316 2022/08/26 16:41:11 - mmengine - INFO - Epoch(train) [38][10/125] lr: 8.0000e-02 eta: 1:57:39 time: 0.5557 data_time: 0.2793 memory: 6209 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0126 loss_cls: 0.1090 acc: 95.9717 loss_bbox: 0.1366 loss_mask: 0.2292 loss: 0.5012 2022/08/26 16:41:13 - mmengine - INFO - Epoch(train) [38][15/125] lr: 8.0000e-02 eta: 1:57:39 time: 0.3738 data_time: 0.0778 memory: 7154 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0141 loss_cls: 0.1163 acc: 96.1914 loss_bbox: 0.1539 loss_mask: 0.2431 loss: 0.5395 2022/08/26 16:41:15 - mmengine - INFO - Epoch(train) [38][20/125] lr: 8.0000e-02 eta: 1:57:31 time: 0.3619 data_time: 0.0686 memory: 5946 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0167 loss_cls: 0.1107 acc: 97.2412 loss_bbox: 0.1431 loss_mask: 0.2527 loss: 0.5386 2022/08/26 16:41:16 - mmengine - INFO - Epoch(train) [38][25/125] lr: 8.0000e-02 eta: 1:57:31 time: 0.3321 data_time: 0.0614 memory: 5939 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0150 loss_cls: 0.0970 acc: 96.3867 loss_bbox: 0.1223 loss_mask: 0.2735 loss: 0.5228 2022/08/26 16:41:18 - mmengine - INFO - Epoch(train) [38][30/125] lr: 8.0000e-02 eta: 1:57:23 time: 0.3611 data_time: 0.0861 memory: 6492 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0184 loss_cls: 0.1066 acc: 96.5576 loss_bbox: 0.1419 loss_mask: 0.2785 loss: 0.5614 2022/08/26 16:41:20 - mmengine - INFO - Epoch(train) [38][35/125] lr: 8.0000e-02 eta: 1:57:23 time: 0.3545 data_time: 0.0826 memory: 6042 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0159 loss_cls: 0.1060 acc: 95.9961 loss_bbox: 0.1380 loss_mask: 0.2600 loss: 0.5338 2022/08/26 16:41:22 - mmengine - INFO - Epoch(train) [38][40/125] lr: 8.0000e-02 eta: 1:57:15 time: 0.3428 data_time: 0.0702 memory: 5969 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0115 loss_cls: 0.1067 acc: 96.0205 loss_bbox: 0.1288 loss_mask: 0.2638 loss: 0.5212 2022/08/26 16:41:24 - mmengine - INFO - Epoch(train) [38][45/125] lr: 8.0000e-02 eta: 1:57:15 time: 0.4398 data_time: 0.0855 memory: 6988 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0162 loss_cls: 0.1178 acc: 95.3125 loss_bbox: 0.1557 loss_mask: 0.2609 loss: 0.5660 2022/08/26 16:41:26 - mmengine - INFO - Epoch(train) [38][50/125] lr: 8.0000e-02 eta: 1:57:10 time: 0.4440 data_time: 0.0900 memory: 6311 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0204 loss_cls: 0.1183 acc: 95.4346 loss_bbox: 0.1644 loss_mask: 0.2490 loss: 0.5694 2022/08/26 16:41:28 - mmengine - INFO - Epoch(train) [38][55/125] lr: 8.0000e-02 eta: 1:57:10 time: 0.3757 data_time: 0.0766 memory: 7327 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0198 loss_cls: 0.1192 acc: 96.3135 loss_bbox: 0.1623 loss_mask: 0.2451 loss: 0.5610 2022/08/26 16:41:30 - mmengine - INFO - Epoch(train) [38][60/125] lr: 8.0000e-02 eta: 1:57:01 time: 0.3483 data_time: 0.0530 memory: 6072 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0187 loss_cls: 0.1265 acc: 94.8486 loss_bbox: 0.1604 loss_mask: 0.2488 loss: 0.5692 2022/08/26 16:41:32 - mmengine - INFO - Epoch(train) [38][65/125] lr: 8.0000e-02 eta: 1:57:01 time: 0.3412 data_time: 0.0715 memory: 6376 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0176 loss_cls: 0.1097 acc: 97.1924 loss_bbox: 0.1390 loss_mask: 0.2521 loss: 0.5317 2022/08/26 16:41:33 - mmengine - INFO - Epoch(train) [38][70/125] lr: 8.0000e-02 eta: 1:56:54 time: 0.3565 data_time: 0.0780 memory: 6529 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0155 loss_cls: 0.1100 acc: 96.2891 loss_bbox: 0.1485 loss_mask: 0.2477 loss: 0.5329 2022/08/26 16:41:35 - mmengine - INFO - Epoch(train) [38][75/125] lr: 8.0000e-02 eta: 1:56:54 time: 0.3353 data_time: 0.0586 memory: 6341 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0129 loss_cls: 0.1179 acc: 95.4346 loss_bbox: 0.1519 loss_mask: 0.2603 loss: 0.5540 2022/08/26 16:41:37 - mmengine - INFO - Epoch(train) [38][80/125] lr: 8.0000e-02 eta: 1:56:45 time: 0.3327 data_time: 0.0617 memory: 6316 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0119 loss_cls: 0.1067 acc: 95.3125 loss_bbox: 0.1388 loss_mask: 0.2580 loss: 0.5264 2022/08/26 16:41:38 - mmengine - INFO - Epoch(train) [38][85/125] lr: 8.0000e-02 eta: 1:56:45 time: 0.3399 data_time: 0.0586 memory: 6780 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0175 loss_cls: 0.1184 acc: 94.6777 loss_bbox: 0.1617 loss_mask: 0.2405 loss: 0.5556 2022/08/26 16:41:40 - mmengine - INFO - Epoch(train) [38][90/125] lr: 8.0000e-02 eta: 1:56:37 time: 0.3706 data_time: 0.0882 memory: 6219 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0198 loss_cls: 0.1244 acc: 96.5576 loss_bbox: 0.1622 loss_mask: 0.2455 loss: 0.5702 2022/08/26 16:41:43 - mmengine - INFO - Epoch(train) [38][95/125] lr: 8.0000e-02 eta: 1:56:37 time: 0.4769 data_time: 0.1058 memory: 6353 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0145 loss_cls: 0.1105 acc: 96.7285 loss_bbox: 0.1392 loss_mask: 0.2461 loss: 0.5227 2022/08/26 16:41:45 - mmengine - INFO - Epoch(train) [38][100/125] lr: 8.0000e-02 eta: 1:56:33 time: 0.4633 data_time: 0.1027 memory: 5999 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0142 loss_cls: 0.0990 acc: 97.5830 loss_bbox: 0.1233 loss_mask: 0.2564 loss: 0.5078 2022/08/26 16:41:47 - mmengine - INFO - Epoch(train) [38][105/125] lr: 8.0000e-02 eta: 1:56:33 time: 0.3710 data_time: 0.0937 memory: 6447 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0142 loss_cls: 0.1001 acc: 95.7520 loss_bbox: 0.1245 loss_mask: 0.2534 loss: 0.5074 2022/08/26 16:41:49 - mmengine - INFO - Epoch(train) [38][110/125] lr: 8.0000e-02 eta: 1:56:26 time: 0.3935 data_time: 0.0896 memory: 7448 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0131 loss_cls: 0.1107 acc: 95.9717 loss_bbox: 0.1468 loss_mask: 0.2489 loss: 0.5312 2022/08/26 16:41:52 - mmengine - INFO - Epoch(train) [38][115/125] lr: 8.0000e-02 eta: 1:56:26 time: 0.5163 data_time: 0.2070 memory: 7221 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0157 loss_cls: 0.1178 acc: 95.7031 loss_bbox: 0.1536 loss_mask: 0.2645 loss: 0.5641 2022/08/26 16:41:54 - mmengine - INFO - Epoch(train) [38][120/125] lr: 8.0000e-02 eta: 1:56:23 time: 0.4813 data_time: 0.1876 memory: 6375 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0170 loss_cls: 0.1131 acc: 97.8760 loss_bbox: 0.1456 loss_mask: 0.2578 loss: 0.5489 2022/08/26 16:41:56 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:41:56 - mmengine - INFO - Epoch(train) [38][125/125] lr: 8.0000e-02 eta: 1:56:23 time: 0.3528 data_time: 0.0736 memory: 6252 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0157 loss_cls: 0.1035 acc: 97.1436 loss_bbox: 0.1402 loss_mask: 0.2391 loss: 0.5122 2022/08/26 16:41:59 - mmengine - INFO - Epoch(train) [39][5/125] lr: 8.0000e-02 eta: 1:56:23 time: 0.5043 data_time: 0.2282 memory: 6349 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0129 loss_cls: 0.1042 acc: 96.4600 loss_bbox: 0.1457 loss_mask: 0.2333 loss: 0.5086 2022/08/26 16:42:01 - mmengine - INFO - Epoch(train) [39][10/125] lr: 8.0000e-02 eta: 1:56:09 time: 0.4883 data_time: 0.2085 memory: 6094 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0145 loss_cls: 0.1080 acc: 95.4834 loss_bbox: 0.1426 loss_mask: 0.2412 loss: 0.5209 2022/08/26 16:42:02 - mmengine - INFO - Epoch(train) [39][15/125] lr: 8.0000e-02 eta: 1:56:09 time: 0.3401 data_time: 0.0423 memory: 6206 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0164 loss_cls: 0.1028 acc: 96.5820 loss_bbox: 0.1327 loss_mask: 0.2364 loss: 0.5013 2022/08/26 16:42:05 - mmengine - INFO - Epoch(train) [39][20/125] lr: 8.0000e-02 eta: 1:56:05 time: 0.4700 data_time: 0.1835 memory: 6009 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0131 loss_cls: 0.0927 acc: 98.1445 loss_bbox: 0.1264 loss_mask: 0.2427 loss: 0.4851 2022/08/26 16:42:07 - mmengine - INFO - Epoch(train) [39][25/125] lr: 8.0000e-02 eta: 1:56:05 time: 0.5068 data_time: 0.2316 memory: 6535 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0144 loss_cls: 0.1014 acc: 96.0938 loss_bbox: 0.1441 loss_mask: 0.2523 loss: 0.5242 2022/08/26 16:42:09 - mmengine - INFO - Epoch(train) [39][30/125] lr: 8.0000e-02 eta: 1:55:58 time: 0.3890 data_time: 0.0980 memory: 6116 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0167 loss_cls: 0.1138 acc: 95.0195 loss_bbox: 0.1533 loss_mask: 0.2444 loss: 0.5407 2022/08/26 16:42:11 - mmengine - INFO - Epoch(train) [39][35/125] lr: 8.0000e-02 eta: 1:55:58 time: 0.3951 data_time: 0.1113 memory: 6422 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0125 loss_cls: 0.1103 acc: 97.3877 loss_bbox: 0.1469 loss_mask: 0.2350 loss: 0.5159 2022/08/26 16:42:13 - mmengine - INFO - Epoch(train) [39][40/125] lr: 8.0000e-02 eta: 1:55:52 time: 0.3968 data_time: 0.1175 memory: 6541 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0133 loss_cls: 0.1079 acc: 95.8496 loss_bbox: 0.1569 loss_mask: 0.2199 loss: 0.5074 2022/08/26 16:42:16 - mmengine - INFO - Epoch(train) [39][45/125] lr: 8.0000e-02 eta: 1:55:52 time: 0.4361 data_time: 0.1568 memory: 6339 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0145 loss_cls: 0.1147 acc: 94.8730 loss_bbox: 0.1665 loss_mask: 0.2121 loss: 0.5178 2022/08/26 16:42:18 - mmengine - INFO - Epoch(train) [39][50/125] lr: 8.0000e-02 eta: 1:55:48 time: 0.4675 data_time: 0.1753 memory: 7355 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0119 loss_cls: 0.1189 acc: 94.6777 loss_bbox: 0.1689 loss_mask: 0.2246 loss: 0.5344 2022/08/26 16:42:19 - mmengine - INFO - Epoch(train) [39][55/125] lr: 8.0000e-02 eta: 1:55:48 time: 0.3608 data_time: 0.0662 memory: 6262 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0116 loss_cls: 0.1094 acc: 97.4854 loss_bbox: 0.1577 loss_mask: 0.2500 loss: 0.5363 2022/08/26 16:42:21 - mmengine - INFO - Epoch(train) [39][60/125] lr: 8.0000e-02 eta: 1:55:39 time: 0.3327 data_time: 0.0598 memory: 6213 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0125 loss_cls: 0.1060 acc: 96.6797 loss_bbox: 0.1412 loss_mask: 0.2501 loss: 0.5224 2022/08/26 16:42:23 - mmengine - INFO - Epoch(train) [39][65/125] lr: 8.0000e-02 eta: 1:55:39 time: 0.3968 data_time: 0.0898 memory: 6124 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0142 loss_cls: 0.1168 acc: 95.8740 loss_bbox: 0.1477 loss_mask: 0.2582 loss: 0.5572 2022/08/26 16:42:25 - mmengine - INFO - Epoch(train) [39][70/125] lr: 8.0000e-02 eta: 1:55:33 time: 0.4081 data_time: 0.0968 memory: 6200 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0225 loss_cls: 0.1148 acc: 95.3369 loss_bbox: 0.1544 loss_mask: 0.2595 loss: 0.5680 2022/08/26 16:42:27 - mmengine - INFO - Epoch(train) [39][75/125] lr: 8.0000e-02 eta: 1:55:33 time: 0.3383 data_time: 0.0687 memory: 6108 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0202 loss_cls: 0.0929 acc: 96.4355 loss_bbox: 0.1263 loss_mask: 0.2547 loss: 0.5052 2022/08/26 16:42:29 - mmengine - INFO - Epoch(train) [39][80/125] lr: 8.0000e-02 eta: 1:55:25 time: 0.3565 data_time: 0.0909 memory: 6128 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0104 loss_cls: 0.0850 acc: 96.8750 loss_bbox: 0.1099 loss_mask: 0.2538 loss: 0.4706 2022/08/26 16:42:31 - mmengine - INFO - Epoch(train) [39][85/125] lr: 8.0000e-02 eta: 1:55:25 time: 0.3927 data_time: 0.1101 memory: 6144 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0128 loss_cls: 0.0902 acc: 97.9980 loss_bbox: 0.1146 loss_mask: 0.2301 loss: 0.4614 2022/08/26 16:42:33 - mmengine - INFO - Epoch(train) [39][90/125] lr: 8.0000e-02 eta: 1:55:20 time: 0.4142 data_time: 0.0886 memory: 6157 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0141 loss_cls: 0.0981 acc: 94.7510 loss_bbox: 0.1268 loss_mask: 0.2280 loss: 0.4821 2022/08/26 16:42:35 - mmengine - INFO - Epoch(train) [39][95/125] lr: 8.0000e-02 eta: 1:55:20 time: 0.4125 data_time: 0.1014 memory: 6128 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0123 loss_cls: 0.1010 acc: 96.5576 loss_bbox: 0.1325 loss_mask: 0.2293 loss: 0.4868 2022/08/26 16:42:37 - mmengine - INFO - Epoch(train) [39][100/125] lr: 8.0000e-02 eta: 1:55:12 time: 0.3751 data_time: 0.1057 memory: 6331 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0131 loss_cls: 0.0998 acc: 95.8496 loss_bbox: 0.1342 loss_mask: 0.2413 loss: 0.5001 2022/08/26 16:42:38 - mmengine - INFO - Epoch(train) [39][105/125] lr: 8.0000e-02 eta: 1:55:12 time: 0.3619 data_time: 0.0877 memory: 6601 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0163 loss_cls: 0.1184 acc: 95.8252 loss_bbox: 0.1611 loss_mask: 0.2539 loss: 0.5658 2022/08/26 16:42:41 - mmengine - INFO - Epoch(train) [39][110/125] lr: 8.0000e-02 eta: 1:55:06 time: 0.3966 data_time: 0.1224 memory: 6561 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0182 loss_cls: 0.1151 acc: 96.8994 loss_bbox: 0.1559 loss_mask: 0.2505 loss: 0.5553 2022/08/26 16:42:43 - mmengine - INFO - Epoch(train) [39][115/125] lr: 8.0000e-02 eta: 1:55:06 time: 0.4546 data_time: 0.1380 memory: 6453 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0237 loss_cls: 0.1093 acc: 96.3135 loss_bbox: 0.1369 loss_mask: 0.2450 loss: 0.5303 2022/08/26 16:42:45 - mmengine - INFO - Epoch(train) [39][120/125] lr: 8.0000e-02 eta: 1:55:00 time: 0.4068 data_time: 0.0942 memory: 6003 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0205 loss_cls: 0.1090 acc: 96.0693 loss_bbox: 0.1252 loss_mask: 0.2410 loss: 0.5126 2022/08/26 16:42:47 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:42:47 - mmengine - INFO - Epoch(train) [39][125/125] lr: 8.0000e-02 eta: 1:55:00 time: 0.3946 data_time: 0.0995 memory: 7290 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0144 loss_cls: 0.1131 acc: 96.2891 loss_bbox: 0.1428 loss_mask: 0.2604 loss: 0.5468 2022/08/26 16:42:51 - mmengine - INFO - Epoch(train) [40][5/125] lr: 8.0000e-02 eta: 1:55:00 time: 0.6002 data_time: 0.2935 memory: 6412 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0163 loss_cls: 0.1297 acc: 95.4590 loss_bbox: 0.1717 loss_mask: 0.2704 loss: 0.6037 2022/08/26 16:42:54 - mmengine - INFO - Epoch(train) [40][10/125] lr: 8.0000e-02 eta: 1:54:55 time: 0.7413 data_time: 0.4603 memory: 6343 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0153 loss_cls: 0.1228 acc: 94.6777 loss_bbox: 0.1589 loss_mask: 0.2734 loss: 0.5859 2022/08/26 16:42:56 - mmengine - INFO - Epoch(train) [40][15/125] lr: 8.0000e-02 eta: 1:54:55 time: 0.5377 data_time: 0.2443 memory: 7466 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0152 loss_cls: 0.1154 acc: 96.5576 loss_bbox: 0.1485 loss_mask: 0.2720 loss: 0.5667 2022/08/26 16:42:59 - mmengine - INFO - Epoch(train) [40][20/125] lr: 8.0000e-02 eta: 1:54:49 time: 0.4059 data_time: 0.0535 memory: 7882 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0149 loss_cls: 0.1219 acc: 94.2871 loss_bbox: 0.1745 loss_mask: 0.2485 loss: 0.5741 2022/08/26 16:43:00 - mmengine - INFO - Epoch(train) [40][25/125] lr: 8.0000e-02 eta: 1:54:49 time: 0.3824 data_time: 0.0493 memory: 6239 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0142 loss_cls: 0.1166 acc: 95.8252 loss_bbox: 0.1735 loss_mask: 0.2405 loss: 0.5564 2022/08/26 16:43:02 - mmengine - INFO - Epoch(train) [40][30/125] lr: 8.0000e-02 eta: 1:54:40 time: 0.3248 data_time: 0.0544 memory: 6431 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0121 loss_cls: 0.1012 acc: 95.8252 loss_bbox: 0.1454 loss_mask: 0.2335 loss: 0.5020 2022/08/26 16:43:04 - mmengine - INFO - Epoch(train) [40][35/125] lr: 8.0000e-02 eta: 1:54:40 time: 0.4297 data_time: 0.1003 memory: 6463 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0141 loss_cls: 0.1166 acc: 96.4111 loss_bbox: 0.1659 loss_mask: 0.2301 loss: 0.5372 2022/08/26 16:43:06 - mmengine - INFO - Epoch(train) [40][40/125] lr: 8.0000e-02 eta: 1:54:35 time: 0.4267 data_time: 0.0986 memory: 6232 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0139 loss_cls: 0.1131 acc: 96.8262 loss_bbox: 0.1478 loss_mask: 0.2414 loss: 0.5275 2022/08/26 16:43:08 - mmengine - INFO - Epoch(train) [40][45/125] lr: 8.0000e-02 eta: 1:54:35 time: 0.3331 data_time: 0.0673 memory: 6157 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0107 loss_cls: 0.0967 acc: 97.5342 loss_bbox: 0.1161 loss_mask: 0.2343 loss: 0.4688 2022/08/26 16:43:09 - mmengine - INFO - Epoch(train) [40][50/125] lr: 8.0000e-02 eta: 1:54:27 time: 0.3457 data_time: 0.0778 memory: 6107 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0112 loss_cls: 0.1008 acc: 97.4121 loss_bbox: 0.1213 loss_mask: 0.2374 loss: 0.4825 2022/08/26 16:43:11 - mmengine - INFO - Epoch(train) [40][55/125] lr: 8.0000e-02 eta: 1:54:27 time: 0.3551 data_time: 0.0799 memory: 6415 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0155 loss_cls: 0.1032 acc: 96.3135 loss_bbox: 0.1358 loss_mask: 0.2438 loss: 0.5091 2022/08/26 16:43:13 - mmengine - INFO - Epoch(train) [40][60/125] lr: 8.0000e-02 eta: 1:54:19 time: 0.3511 data_time: 0.0689 memory: 6069 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0146 loss_cls: 0.0983 acc: 97.0947 loss_bbox: 0.1345 loss_mask: 0.2503 loss: 0.5088 2022/08/26 16:43:15 - mmengine - INFO - Epoch(train) [40][65/125] lr: 8.0000e-02 eta: 1:54:19 time: 0.4115 data_time: 0.1162 memory: 6207 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0113 loss_cls: 0.0925 acc: 97.6074 loss_bbox: 0.1140 loss_mask: 0.2606 loss: 0.4907 2022/08/26 16:43:17 - mmengine - INFO - Epoch(train) [40][70/125] lr: 8.0000e-02 eta: 1:54:13 time: 0.4167 data_time: 0.1289 memory: 6111 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0126 loss_cls: 0.0916 acc: 96.9971 loss_bbox: 0.1180 loss_mask: 0.2504 loss: 0.4853 2022/08/26 16:43:19 - mmengine - INFO - Epoch(train) [40][75/125] lr: 8.0000e-02 eta: 1:54:13 time: 0.3544 data_time: 0.0808 memory: 6278 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0185 loss_cls: 0.0973 acc: 95.9961 loss_bbox: 0.1436 loss_mask: 0.2389 loss: 0.5102 2022/08/26 16:43:21 - mmengine - INFO - Epoch(train) [40][80/125] lr: 8.0000e-02 eta: 1:54:05 time: 0.3419 data_time: 0.0625 memory: 6581 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0261 loss_cls: 0.1152 acc: 94.7510 loss_bbox: 0.1745 loss_mask: 0.2316 loss: 0.5610 2022/08/26 16:43:24 - mmengine - INFO - Epoch(train) [40][85/125] lr: 8.0000e-02 eta: 1:54:05 time: 0.4646 data_time: 0.0802 memory: 6169 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0199 loss_cls: 0.1096 acc: 93.7744 loss_bbox: 0.1568 loss_mask: 0.2318 loss: 0.5317 2022/08/26 16:43:26 - mmengine - INFO - Epoch(train) [40][90/125] lr: 8.0000e-02 eta: 1:54:04 time: 0.5593 data_time: 0.1444 memory: 7998 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0153 loss_cls: 0.1084 acc: 91.4062 loss_bbox: 0.1475 loss_mask: 0.2424 loss: 0.5266 2022/08/26 16:43:28 - mmengine - INFO - Epoch(train) [40][95/125] lr: 8.0000e-02 eta: 1:54:04 time: 0.4555 data_time: 0.1483 memory: 6199 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0160 loss_cls: 0.1168 acc: 95.8252 loss_bbox: 0.1556 loss_mask: 0.2480 loss: 0.5516 2022/08/26 16:43:30 - mmengine - INFO - Epoch(train) [40][100/125] lr: 8.0000e-02 eta: 1:53:56 time: 0.3514 data_time: 0.0759 memory: 6311 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0154 loss_cls: 0.1225 acc: 94.2627 loss_bbox: 0.1534 loss_mask: 0.2617 loss: 0.5697 2022/08/26 16:43:32 - mmengine - INFO - Epoch(train) [40][105/125] lr: 8.0000e-02 eta: 1:53:56 time: 0.3469 data_time: 0.0647 memory: 6457 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0162 loss_cls: 0.1347 acc: 94.4824 loss_bbox: 0.1664 loss_mask: 0.2754 loss: 0.6090 2022/08/26 16:43:34 - mmengine - INFO - Epoch(train) [40][110/125] lr: 8.0000e-02 eta: 1:53:50 time: 0.4059 data_time: 0.1103 memory: 7314 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0163 loss_cls: 0.1234 acc: 97.0215 loss_bbox: 0.1552 loss_mask: 0.2584 loss: 0.5676 2022/08/26 16:43:36 - mmengine - INFO - Epoch(train) [40][115/125] lr: 8.0000e-02 eta: 1:53:50 time: 0.4227 data_time: 0.1342 memory: 5999 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0140 loss_cls: 0.0965 acc: 97.3389 loss_bbox: 0.1279 loss_mask: 0.2441 loss: 0.4941 2022/08/26 16:43:38 - mmengine - INFO - Epoch(train) [40][120/125] lr: 8.0000e-02 eta: 1:53:44 time: 0.3916 data_time: 0.1130 memory: 6645 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0130 loss_cls: 0.1012 acc: 95.2393 loss_bbox: 0.1420 loss_mask: 0.2476 loss: 0.5163 2022/08/26 16:43:40 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:43:40 - mmengine - INFO - Epoch(train) [40][125/125] lr: 8.0000e-02 eta: 1:53:44 time: 0.4074 data_time: 0.1306 memory: 6302 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0118 loss_cls: 0.1100 acc: 95.1172 loss_bbox: 0.1501 loss_mask: 0.2453 loss: 0.5287 2022/08/26 16:43:40 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/26 16:43:47 - mmengine - INFO - Epoch(val) [40][5/500] eta: 1:53:44 time: 0.1034 data_time: 0.0077 memory: 1506 2022/08/26 16:43:48 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:00:56 time: 0.1158 data_time: 0.0079 memory: 1522 2022/08/26 16:43:48 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:00:56 time: 0.0894 data_time: 0.0024 memory: 1472 2022/08/26 16:43:49 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:01:04 time: 0.1349 data_time: 0.0570 memory: 1320 2022/08/26 16:43:50 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:01:04 time: 0.1274 data_time: 0.0570 memory: 1320 2022/08/26 16:43:50 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:33 time: 0.0705 data_time: 0.0024 memory: 1320 2022/08/26 16:43:50 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:33 time: 0.0745 data_time: 0.0023 memory: 1320 2022/08/26 16:43:51 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:37 time: 0.0819 data_time: 0.0041 memory: 1337 2022/08/26 16:43:51 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:37 time: 0.0774 data_time: 0.0044 memory: 1522 2022/08/26 16:43:52 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:35 time: 0.0797 data_time: 0.0026 memory: 1370 2022/08/26 16:43:52 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:35 time: 0.0799 data_time: 0.0025 memory: 1354 2022/08/26 16:43:52 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:00:34 time: 0.0781 data_time: 0.0024 memory: 1320 2022/08/26 16:43:53 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:00:34 time: 0.0814 data_time: 0.0023 memory: 1370 2022/08/26 16:43:53 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:00:30 time: 0.0719 data_time: 0.0022 memory: 1522 2022/08/26 16:43:54 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:00:30 time: 0.0736 data_time: 0.0022 memory: 1387 2022/08/26 16:43:54 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:00:31 time: 0.0761 data_time: 0.0022 memory: 1320 2022/08/26 16:43:54 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:00:31 time: 0.0695 data_time: 0.0021 memory: 1320 2022/08/26 16:43:55 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:00:30 time: 0.0736 data_time: 0.0022 memory: 1522 2022/08/26 16:43:55 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:00:30 time: 0.0751 data_time: 0.0024 memory: 1337 2022/08/26 16:43:55 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:00:27 time: 0.0699 data_time: 0.0025 memory: 1506 2022/08/26 16:43:56 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:00:27 time: 0.0758 data_time: 0.0024 memory: 1320 2022/08/26 16:43:56 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:00:29 time: 0.0765 data_time: 0.0023 memory: 1522 2022/08/26 16:43:56 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:00:29 time: 0.0687 data_time: 0.0022 memory: 1320 2022/08/26 16:43:57 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:29 time: 0.0763 data_time: 0.0022 memory: 1320 2022/08/26 16:43:57 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:29 time: 0.0909 data_time: 0.0023 memory: 1522 2022/08/26 16:43:58 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:30 time: 0.0819 data_time: 0.0022 memory: 1320 2022/08/26 16:43:58 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:30 time: 0.0725 data_time: 0.0021 memory: 1387 2022/08/26 16:43:58 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:28 time: 0.0782 data_time: 0.0023 memory: 1320 2022/08/26 16:43:59 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:28 time: 0.0732 data_time: 0.0023 memory: 1506 2022/08/26 16:43:59 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:00:24 time: 0.0697 data_time: 0.0023 memory: 1320 2022/08/26 16:43:59 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:00:24 time: 0.0710 data_time: 0.0021 memory: 1454 2022/08/26 16:44:00 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:23 time: 0.0701 data_time: 0.0021 memory: 1522 2022/08/26 16:44:00 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:23 time: 0.0729 data_time: 0.0023 memory: 1354 2022/08/26 16:44:01 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:24 time: 0.0730 data_time: 0.0023 memory: 1472 2022/08/26 16:44:01 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:24 time: 0.0693 data_time: 0.0050 memory: 1522 2022/08/26 16:44:01 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:22 time: 0.0703 data_time: 0.0050 memory: 1522 2022/08/26 16:44:02 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:22 time: 0.0689 data_time: 0.0022 memory: 1320 2022/08/26 16:44:02 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:20 time: 0.0671 data_time: 0.0023 memory: 1370 2022/08/26 16:44:03 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:20 time: 0.1642 data_time: 0.0070 memory: 1354 2022/08/26 16:44:04 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:49 time: 0.1666 data_time: 0.0081 memory: 1354 2022/08/26 16:44:04 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:49 time: 0.0716 data_time: 0.0032 memory: 1320 2022/08/26 16:44:04 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:00:20 time: 0.0723 data_time: 0.0022 memory: 1522 2022/08/26 16:44:05 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:00:20 time: 0.0716 data_time: 0.0022 memory: 1320 2022/08/26 16:44:05 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:19 time: 0.0703 data_time: 0.0023 memory: 1387 2022/08/26 16:44:06 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:19 time: 0.1033 data_time: 0.0025 memory: 1522 2022/08/26 16:44:06 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:30 time: 0.1147 data_time: 0.0024 memory: 1320 2022/08/26 16:44:07 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:30 time: 0.0876 data_time: 0.0022 memory: 1522 2022/08/26 16:44:07 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:20 time: 0.0781 data_time: 0.0022 memory: 1522 2022/08/26 16:44:07 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:20 time: 0.0733 data_time: 0.0021 memory: 1522 2022/08/26 16:44:08 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:18 time: 0.0722 data_time: 0.0021 memory: 1320 2022/08/26 16:44:08 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:18 time: 0.1125 data_time: 0.0022 memory: 1337 2022/08/26 16:44:09 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:25 time: 0.1067 data_time: 0.0022 memory: 1320 2022/08/26 16:44:09 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:25 time: 0.0651 data_time: 0.0022 memory: 1472 2022/08/26 16:44:09 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:15 time: 0.0694 data_time: 0.0022 memory: 1438 2022/08/26 16:44:10 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:15 time: 0.0739 data_time: 0.0022 memory: 1506 2022/08/26 16:44:10 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:15 time: 0.0694 data_time: 0.0022 memory: 1489 2022/08/26 16:44:10 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:15 time: 0.0654 data_time: 0.0020 memory: 1320 2022/08/26 16:44:11 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:14 time: 0.0700 data_time: 0.0019 memory: 1522 2022/08/26 16:44:11 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:14 time: 0.0694 data_time: 0.0021 memory: 1370 2022/08/26 16:44:12 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:14 time: 0.0709 data_time: 0.0022 memory: 1320 2022/08/26 16:44:12 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:14 time: 0.0659 data_time: 0.0021 memory: 1303 2022/08/26 16:44:12 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:12 time: 0.0639 data_time: 0.0021 memory: 1354 2022/08/26 16:44:13 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:12 time: 0.0717 data_time: 0.0022 memory: 1472 2022/08/26 16:44:13 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:14 time: 0.0787 data_time: 0.0051 memory: 1472 2022/08/26 16:44:13 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:14 time: 0.0798 data_time: 0.0052 memory: 1522 2022/08/26 16:44:15 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:25 time: 0.1519 data_time: 0.0126 memory: 1320 2022/08/26 16:44:15 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:25 time: 0.1523 data_time: 0.0133 memory: 1438 2022/08/26 16:44:15 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:12 time: 0.0795 data_time: 0.0032 memory: 1506 2022/08/26 16:44:16 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:12 time: 0.0726 data_time: 0.0025 memory: 1438 2022/08/26 16:44:16 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:11 time: 0.0763 data_time: 0.0024 memory: 1320 2022/08/26 16:44:17 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:11 time: 0.0935 data_time: 0.0025 memory: 1506 2022/08/26 16:44:17 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:11 time: 0.0837 data_time: 0.0027 memory: 1337 2022/08/26 16:44:17 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:11 time: 0.0699 data_time: 0.0023 memory: 1252 2022/08/26 16:44:18 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:08 time: 0.0661 data_time: 0.0020 memory: 1387 2022/08/26 16:44:18 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:08 time: 0.0601 data_time: 0.0019 memory: 1320 2022/08/26 16:44:18 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:08 time: 0.0676 data_time: 0.0018 memory: 1506 2022/08/26 16:44:19 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:08 time: 0.0733 data_time: 0.0019 memory: 1489 2022/08/26 16:44:19 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:08 time: 0.0730 data_time: 0.0021 memory: 1522 2022/08/26 16:44:20 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:08 time: 0.1194 data_time: 0.0073 memory: 1320 2022/08/26 16:44:20 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:12 time: 0.1298 data_time: 0.0076 memory: 1506 2022/08/26 16:44:21 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:12 time: 0.0832 data_time: 0.0026 memory: 1489 2022/08/26 16:44:21 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:06 time: 0.0738 data_time: 0.0023 memory: 1387 2022/08/26 16:44:21 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:06 time: 0.0819 data_time: 0.0022 memory: 1320 2022/08/26 16:44:22 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:06 time: 0.0870 data_time: 0.0021 memory: 1489 2022/08/26 16:44:22 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:06 time: 0.0845 data_time: 0.0020 memory: 1320 2022/08/26 16:44:23 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:05 time: 0.0741 data_time: 0.0022 memory: 1522 2022/08/26 16:44:23 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:05 time: 0.0770 data_time: 0.0024 memory: 1320 2022/08/26 16:44:23 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:04 time: 0.0791 data_time: 0.0024 memory: 1404 2022/08/26 16:44:24 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:04 time: 0.0723 data_time: 0.0024 memory: 1472 2022/08/26 16:44:24 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:03 time: 0.0685 data_time: 0.0024 memory: 1320 2022/08/26 16:44:24 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:03 time: 0.0703 data_time: 0.0022 memory: 1522 2022/08/26 16:44:25 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:02 time: 0.0710 data_time: 0.0022 memory: 1354 2022/08/26 16:44:25 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:02 time: 0.0662 data_time: 0.0020 memory: 1454 2022/08/26 16:44:25 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:01 time: 0.0634 data_time: 0.0018 memory: 1354 2022/08/26 16:44:26 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:01 time: 0.0664 data_time: 0.0020 memory: 1522 2022/08/26 16:44:26 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:01 time: 0.0705 data_time: 0.0042 memory: 1489 2022/08/26 16:44:26 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:01 time: 0.0664 data_time: 0.0042 memory: 1320 2022/08/26 16:44:27 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0647 data_time: 0.0024 memory: 1454 2022/08/26 16:44:27 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0706 data_time: 0.0025 memory: 1522 2022/08/26 16:44:28 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0705 data_time: 0.0025 memory: 1320 2022/08/26 16:44:28 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:44:28 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8592, precision: 0.3878, hmean: 0.5344 2022/08/26 16:44:28 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8351, precision: 0.4603, hmean: 0.5935 2022/08/26 16:44:28 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8127, precision: 0.5307, hmean: 0.6421 2022/08/26 16:44:28 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7824, precision: 0.5981, hmean: 0.6779 2022/08/26 16:44:28 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7255, precision: 0.6676, hmean: 0.6953 2022/08/26 16:44:28 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6354, precision: 0.7318, hmean: 0.6802 2022/08/26 16:44:28 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.4735, precision: 0.8268, hmean: 0.6022 2022/08/26 16:44:28 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.6676 icdar/recall: 0.7255 icdar/hmean: 0.6953 2022/08/26 16:44:31 - mmengine - INFO - Epoch(train) [41][5/125] lr: 8.0000e-02 eta: 0:00:00 time: 0.5563 data_time: 0.1696 memory: 6431 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0157 loss_cls: 0.1058 acc: 96.1670 loss_bbox: 0.1395 loss_mask: 0.2379 loss: 0.5092 2022/08/26 16:44:33 - mmengine - INFO - Epoch(train) [41][10/125] lr: 8.0000e-02 eta: 1:53:32 time: 0.5137 data_time: 0.1228 memory: 6206 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0180 loss_cls: 0.1001 acc: 97.2168 loss_bbox: 0.1346 loss_mask: 0.2288 loss: 0.4933 2022/08/26 16:44:35 - mmengine - INFO - Epoch(train) [41][15/125] lr: 8.0000e-02 eta: 1:53:32 time: 0.3759 data_time: 0.0922 memory: 6676 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0192 loss_cls: 0.1125 acc: 95.4102 loss_bbox: 0.1486 loss_mask: 0.2418 loss: 0.5368 2022/08/26 16:44:37 - mmengine - INFO - Epoch(train) [41][20/125] lr: 8.0000e-02 eta: 1:53:24 time: 0.3601 data_time: 0.0756 memory: 6025 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0206 loss_cls: 0.1127 acc: 98.0713 loss_bbox: 0.1504 loss_mask: 0.2534 loss: 0.5522 2022/08/26 16:44:39 - mmengine - INFO - Epoch(train) [41][25/125] lr: 8.0000e-02 eta: 1:53:24 time: 0.3404 data_time: 0.0631 memory: 6196 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0148 loss_cls: 0.0983 acc: 96.9971 loss_bbox: 0.1366 loss_mask: 0.2492 loss: 0.5104 2022/08/26 16:44:41 - mmengine - INFO - Epoch(train) [41][30/125] lr: 8.0000e-02 eta: 1:53:19 time: 0.4311 data_time: 0.1371 memory: 7117 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0154 loss_cls: 0.1025 acc: 96.8506 loss_bbox: 0.1415 loss_mask: 0.2514 loss: 0.5245 2022/08/26 16:44:43 - mmengine - INFO - Epoch(train) [41][35/125] lr: 8.0000e-02 eta: 1:53:19 time: 0.4795 data_time: 0.1447 memory: 6704 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0196 loss_cls: 0.1073 acc: 95.3369 loss_bbox: 0.1548 loss_mask: 0.2433 loss: 0.5409 2022/08/26 16:44:45 - mmengine - INFO - Epoch(train) [41][40/125] lr: 8.0000e-02 eta: 1:53:13 time: 0.4088 data_time: 0.0932 memory: 6301 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0183 loss_cls: 0.1155 acc: 94.5557 loss_bbox: 0.1655 loss_mask: 0.2440 loss: 0.5575 2022/08/26 16:44:47 - mmengine - INFO - Epoch(train) [41][45/125] lr: 8.0000e-02 eta: 1:53:13 time: 0.3633 data_time: 0.0920 memory: 6529 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0141 loss_cls: 0.1087 acc: 97.9492 loss_bbox: 0.1467 loss_mask: 0.2413 loss: 0.5249 2022/08/26 16:44:49 - mmengine - INFO - Epoch(train) [41][50/125] lr: 8.0000e-02 eta: 1:53:06 time: 0.3592 data_time: 0.0802 memory: 6343 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0174 loss_cls: 0.1119 acc: 94.5801 loss_bbox: 0.1488 loss_mask: 0.2354 loss: 0.5285 2022/08/26 16:44:51 - mmengine - INFO - Epoch(train) [41][55/125] lr: 8.0000e-02 eta: 1:53:06 time: 0.3849 data_time: 0.1061 memory: 6409 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0175 loss_cls: 0.1172 acc: 96.3623 loss_bbox: 0.1524 loss_mask: 0.2464 loss: 0.5474 2022/08/26 16:44:53 - mmengine - INFO - Epoch(train) [41][60/125] lr: 8.0000e-02 eta: 1:53:00 time: 0.4038 data_time: 0.1319 memory: 6039 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0129 loss_cls: 0.1075 acc: 96.2646 loss_bbox: 0.1446 loss_mask: 0.2502 loss: 0.5279 2022/08/26 16:44:55 - mmengine - INFO - Epoch(train) [41][65/125] lr: 8.0000e-02 eta: 1:53:00 time: 0.3998 data_time: 0.0994 memory: 7549 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0154 loss_cls: 0.1107 acc: 95.2393 loss_bbox: 0.1546 loss_mask: 0.2372 loss: 0.5324 2022/08/26 16:44:57 - mmengine - INFO - Epoch(train) [41][70/125] lr: 8.0000e-02 eta: 1:52:53 time: 0.3748 data_time: 0.0737 memory: 6210 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0140 loss_cls: 0.1102 acc: 96.7041 loss_bbox: 0.1452 loss_mask: 0.2313 loss: 0.5148 2022/08/26 16:44:58 - mmengine - INFO - Epoch(train) [41][75/125] lr: 8.0000e-02 eta: 1:52:53 time: 0.3621 data_time: 0.0884 memory: 6512 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0126 loss_cls: 0.1059 acc: 95.3857 loss_bbox: 0.1367 loss_mask: 0.2453 loss: 0.5151 2022/08/26 16:45:00 - mmengine - INFO - Epoch(train) [41][80/125] lr: 8.0000e-02 eta: 1:52:46 time: 0.3527 data_time: 0.0818 memory: 6245 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0145 loss_cls: 0.1183 acc: 94.2139 loss_bbox: 0.1561 loss_mask: 0.2489 loss: 0.5528 2022/08/26 16:45:03 - mmengine - INFO - Epoch(train) [41][85/125] lr: 8.0000e-02 eta: 1:52:46 time: 0.4436 data_time: 0.1502 memory: 6382 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0140 loss_cls: 0.1233 acc: 94.1406 loss_bbox: 0.1593 loss_mask: 0.2503 loss: 0.5603 2022/08/26 16:45:05 - mmengine - INFO - Epoch(train) [41][90/125] lr: 8.0000e-02 eta: 1:52:41 time: 0.4608 data_time: 0.1694 memory: 6154 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0151 loss_cls: 0.1154 acc: 96.3623 loss_bbox: 0.1484 loss_mask: 0.2508 loss: 0.5427 2022/08/26 16:45:06 - mmengine - INFO - Epoch(train) [41][95/125] lr: 8.0000e-02 eta: 1:52:41 time: 0.3576 data_time: 0.0859 memory: 6467 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0188 loss_cls: 0.1167 acc: 92.3828 loss_bbox: 0.1538 loss_mask: 0.2467 loss: 0.5508 2022/08/26 16:45:08 - mmengine - INFO - Epoch(train) [41][100/125] lr: 8.0000e-02 eta: 1:52:35 time: 0.3776 data_time: 0.0829 memory: 7526 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0184 loss_cls: 0.1176 acc: 97.5342 loss_bbox: 0.1613 loss_mask: 0.2619 loss: 0.5754 2022/08/26 16:45:10 - mmengine - INFO - Epoch(train) [41][105/125] lr: 8.0000e-02 eta: 1:52:35 time: 0.3698 data_time: 0.0756 memory: 6229 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0137 loss_cls: 0.1118 acc: 96.4111 loss_bbox: 0.1491 loss_mask: 0.2666 loss: 0.5541 2022/08/26 16:45:14 - mmengine - INFO - Epoch(train) [41][110/125] lr: 8.0000e-02 eta: 1:52:33 time: 0.5523 data_time: 0.1945 memory: 6536 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0134 loss_cls: 0.1127 acc: 94.8486 loss_bbox: 0.1512 loss_mask: 0.2568 loss: 0.5452 2022/08/26 16:45:16 - mmengine - INFO - Epoch(train) [41][115/125] lr: 8.0000e-02 eta: 1:52:33 time: 0.6199 data_time: 0.2333 memory: 6459 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0134 loss_cls: 0.1080 acc: 94.6045 loss_bbox: 0.1578 loss_mask: 0.2412 loss: 0.5318 2022/08/26 16:45:18 - mmengine - INFO - Epoch(train) [41][120/125] lr: 8.0000e-02 eta: 1:52:27 time: 0.4047 data_time: 0.1022 memory: 6764 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0199 loss_cls: 0.1150 acc: 94.0186 loss_bbox: 0.1605 loss_mask: 0.2495 loss: 0.5592 2022/08/26 16:45:20 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:45:20 - mmengine - INFO - Epoch(train) [41][125/125] lr: 8.0000e-02 eta: 1:52:27 time: 0.3299 data_time: 0.0627 memory: 6080 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0196 loss_cls: 0.1188 acc: 96.1182 loss_bbox: 0.1509 loss_mask: 0.2693 loss: 0.5751 2022/08/26 16:45:22 - mmengine - INFO - Epoch(train) [42][5/125] lr: 8.0000e-02 eta: 1:52:27 time: 0.4267 data_time: 0.1560 memory: 6555 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0163 loss_cls: 0.1179 acc: 94.2139 loss_bbox: 0.1524 loss_mask: 0.2562 loss: 0.5566 2022/08/26 16:45:24 - mmengine - INFO - Epoch(train) [42][10/125] lr: 8.0000e-02 eta: 1:52:13 time: 0.4423 data_time: 0.1657 memory: 6058 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0178 loss_cls: 0.1148 acc: 97.6074 loss_bbox: 0.1482 loss_mask: 0.2415 loss: 0.5361 2022/08/26 16:45:27 - mmengine - INFO - Epoch(train) [42][15/125] lr: 8.0000e-02 eta: 1:52:13 time: 0.4246 data_time: 0.1439 memory: 6176 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0146 loss_cls: 0.1030 acc: 96.7285 loss_bbox: 0.1286 loss_mask: 0.2421 loss: 0.5034 2022/08/26 16:45:28 - mmengine - INFO - Epoch(train) [42][20/125] lr: 8.0000e-02 eta: 1:52:08 time: 0.4119 data_time: 0.1352 memory: 6092 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0124 loss_cls: 0.0930 acc: 97.0215 loss_bbox: 0.1237 loss_mask: 0.2341 loss: 0.4746 2022/08/26 16:45:30 - mmengine - INFO - Epoch(train) [42][25/125] lr: 8.0000e-02 eta: 1:52:08 time: 0.3342 data_time: 0.0667 memory: 6228 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0119 loss_cls: 0.0884 acc: 97.3633 loss_bbox: 0.1274 loss_mask: 0.2414 loss: 0.4784 2022/08/26 16:45:32 - mmengine - INFO - Epoch(train) [42][30/125] lr: 8.0000e-02 eta: 1:52:00 time: 0.3652 data_time: 0.0963 memory: 5986 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0148 loss_cls: 0.0918 acc: 96.8750 loss_bbox: 0.1257 loss_mask: 0.2571 loss: 0.5089 2022/08/26 16:45:34 - mmengine - INFO - Epoch(train) [42][35/125] lr: 8.0000e-02 eta: 1:52:00 time: 0.4094 data_time: 0.0976 memory: 5980 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0174 loss_cls: 0.1010 acc: 96.4844 loss_bbox: 0.1216 loss_mask: 0.2673 loss: 0.5322 2022/08/26 16:45:36 - mmengine - INFO - Epoch(train) [42][40/125] lr: 8.0000e-02 eta: 1:51:54 time: 0.4005 data_time: 0.0862 memory: 6369 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0153 loss_cls: 0.1149 acc: 96.8018 loss_bbox: 0.1430 loss_mask: 0.2736 loss: 0.5639 2022/08/26 16:45:38 - mmengine - INFO - Epoch(train) [42][45/125] lr: 8.0000e-02 eta: 1:51:54 time: 0.3668 data_time: 0.0933 memory: 6288 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0161 loss_cls: 0.1092 acc: 97.3389 loss_bbox: 0.1480 loss_mask: 0.2543 loss: 0.5400 2022/08/26 16:45:40 - mmengine - INFO - Epoch(train) [42][50/125] lr: 8.0000e-02 eta: 1:51:47 time: 0.3633 data_time: 0.0781 memory: 6307 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0157 loss_cls: 0.0923 acc: 97.3633 loss_bbox: 0.1275 loss_mask: 0.2458 loss: 0.4910 2022/08/26 16:45:42 - mmengine - INFO - Epoch(train) [42][55/125] lr: 8.0000e-02 eta: 1:51:47 time: 0.3850 data_time: 0.0749 memory: 7267 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0142 loss_cls: 0.0927 acc: 95.6299 loss_bbox: 0.1315 loss_mask: 0.2353 loss: 0.4831 2022/08/26 16:45:43 - mmengine - INFO - Epoch(train) [42][60/125] lr: 8.0000e-02 eta: 1:51:41 time: 0.3771 data_time: 0.0832 memory: 6409 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0135 loss_cls: 0.0991 acc: 95.7031 loss_bbox: 0.1405 loss_mask: 0.2359 loss: 0.4979 2022/08/26 16:45:45 - mmengine - INFO - Epoch(train) [42][65/125] lr: 8.0000e-02 eta: 1:51:41 time: 0.3846 data_time: 0.0961 memory: 6968 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0161 loss_cls: 0.1030 acc: 97.2412 loss_bbox: 0.1424 loss_mask: 0.2483 loss: 0.5199 2022/08/26 16:45:48 - mmengine - INFO - Epoch(train) [42][70/125] lr: 8.0000e-02 eta: 1:51:35 time: 0.4163 data_time: 0.1214 memory: 6506 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0185 loss_cls: 0.1059 acc: 97.2168 loss_bbox: 0.1507 loss_mask: 0.2496 loss: 0.5377 2022/08/26 16:45:49 - mmengine - INFO - Epoch(train) [42][75/125] lr: 8.0000e-02 eta: 1:51:35 time: 0.3979 data_time: 0.1076 memory: 6375 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0193 loss_cls: 0.1091 acc: 96.4844 loss_bbox: 0.1503 loss_mask: 0.2390 loss: 0.5328 2022/08/26 16:45:51 - mmengine - INFO - Epoch(train) [42][80/125] lr: 8.0000e-02 eta: 1:51:28 time: 0.3618 data_time: 0.0749 memory: 6222 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0192 loss_cls: 0.1019 acc: 97.6074 loss_bbox: 0.1315 loss_mask: 0.2252 loss: 0.4912 2022/08/26 16:45:54 - mmengine - INFO - Epoch(train) [42][85/125] lr: 8.0000e-02 eta: 1:51:28 time: 0.4287 data_time: 0.0751 memory: 6288 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0159 loss_cls: 0.1045 acc: 95.4590 loss_bbox: 0.1241 loss_mask: 0.2431 loss: 0.5005 2022/08/26 16:45:55 - mmengine - INFO - Epoch(train) [42][90/125] lr: 8.0000e-02 eta: 1:51:23 time: 0.4337 data_time: 0.0795 memory: 6026 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0146 loss_cls: 0.1124 acc: 96.4111 loss_bbox: 0.1325 loss_mask: 0.2510 loss: 0.5267 2022/08/26 16:45:58 - mmengine - INFO - Epoch(train) [42][95/125] lr: 8.0000e-02 eta: 1:51:23 time: 0.3799 data_time: 0.1087 memory: 6030 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0122 loss_cls: 0.0955 acc: 96.8506 loss_bbox: 0.1165 loss_mask: 0.2387 loss: 0.4764 2022/08/26 16:45:59 - mmengine - INFO - Epoch(train) [42][100/125] lr: 8.0000e-02 eta: 1:51:16 time: 0.3662 data_time: 0.0976 memory: 6327 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0148 loss_cls: 0.0960 acc: 96.0693 loss_bbox: 0.1212 loss_mask: 0.2399 loss: 0.4820 2022/08/26 16:46:01 - mmengine - INFO - Epoch(train) [42][105/125] lr: 8.0000e-02 eta: 1:51:16 time: 0.3333 data_time: 0.0598 memory: 6340 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0164 loss_cls: 0.1064 acc: 96.5332 loss_bbox: 0.1350 loss_mask: 0.2496 loss: 0.5193 2022/08/26 16:46:03 - mmengine - INFO - Epoch(train) [42][110/125] lr: 8.0000e-02 eta: 1:51:09 time: 0.3659 data_time: 0.0863 memory: 6568 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0128 loss_cls: 0.1050 acc: 96.1182 loss_bbox: 0.1396 loss_mask: 0.2538 loss: 0.5239 2022/08/26 16:46:05 - mmengine - INFO - Epoch(train) [42][115/125] lr: 8.0000e-02 eta: 1:51:09 time: 0.3683 data_time: 0.0928 memory: 6333 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0114 loss_cls: 0.1082 acc: 96.2646 loss_bbox: 0.1446 loss_mask: 0.2530 loss: 0.5276 2022/08/26 16:46:06 - mmengine - INFO - Epoch(train) [42][120/125] lr: 8.0000e-02 eta: 1:51:02 time: 0.3689 data_time: 0.0754 memory: 7425 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0168 loss_cls: 0.1279 acc: 93.8477 loss_bbox: 0.1665 loss_mask: 0.2580 loss: 0.5835 2022/08/26 16:46:08 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:46:08 - mmengine - INFO - Epoch(train) [42][125/125] lr: 8.0000e-02 eta: 1:51:02 time: 0.3725 data_time: 0.0800 memory: 6226 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0180 loss_cls: 0.1358 acc: 96.0205 loss_bbox: 0.1743 loss_mask: 0.2567 loss: 0.5993 2022/08/26 16:46:11 - mmengine - INFO - Epoch(train) [43][5/125] lr: 8.0000e-02 eta: 1:51:02 time: 0.4741 data_time: 0.2042 memory: 6416 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0141 loss_cls: 0.1229 acc: 95.8496 loss_bbox: 0.1540 loss_mask: 0.2471 loss: 0.5484 2022/08/26 16:46:14 - mmengine - INFO - Epoch(train) [43][10/125] lr: 8.0000e-02 eta: 1:50:51 time: 0.5069 data_time: 0.2184 memory: 6294 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0142 loss_cls: 0.1185 acc: 94.8242 loss_bbox: 0.1538 loss_mask: 0.2452 loss: 0.5438 2022/08/26 16:46:15 - mmengine - INFO - Epoch(train) [43][15/125] lr: 8.0000e-02 eta: 1:50:51 time: 0.3677 data_time: 0.0757 memory: 6124 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0133 loss_cls: 0.1074 acc: 97.6807 loss_bbox: 0.1364 loss_mask: 0.2495 loss: 0.5194 2022/08/26 16:46:17 - mmengine - INFO - Epoch(train) [43][20/125] lr: 8.0000e-02 eta: 1:50:43 time: 0.3221 data_time: 0.0471 memory: 5939 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0109 loss_cls: 0.0937 acc: 97.3389 loss_bbox: 0.1140 loss_mask: 0.2421 loss: 0.4722 2022/08/26 16:46:19 - mmengine - INFO - Epoch(train) [43][25/125] lr: 8.0000e-02 eta: 1:50:43 time: 0.3422 data_time: 0.0699 memory: 6103 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0097 loss_cls: 0.0975 acc: 95.3613 loss_bbox: 0.1260 loss_mask: 0.2411 loss: 0.4854 2022/08/26 16:46:21 - mmengine - INFO - Epoch(train) [43][30/125] lr: 8.0000e-02 eta: 1:50:39 time: 0.4725 data_time: 0.1825 memory: 6547 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0114 loss_cls: 0.1003 acc: 96.2891 loss_bbox: 0.1452 loss_mask: 0.2519 loss: 0.5189 2022/08/26 16:46:23 - mmengine - INFO - Epoch(train) [43][35/125] lr: 8.0000e-02 eta: 1:50:39 time: 0.4703 data_time: 0.1750 memory: 6216 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0119 loss_cls: 0.1029 acc: 95.9229 loss_bbox: 0.1546 loss_mask: 0.2473 loss: 0.5282 2022/08/26 16:46:25 - mmengine - INFO - Epoch(train) [43][40/125] lr: 8.0000e-02 eta: 1:50:32 time: 0.3570 data_time: 0.0738 memory: 6485 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0113 loss_cls: 0.1096 acc: 94.6289 loss_bbox: 0.1610 loss_mask: 0.2392 loss: 0.5328 2022/08/26 16:46:27 - mmengine - INFO - Epoch(train) [43][45/125] lr: 8.0000e-02 eta: 1:50:32 time: 0.3782 data_time: 0.0976 memory: 6477 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0129 loss_cls: 0.1105 acc: 96.3867 loss_bbox: 0.1589 loss_mask: 0.2398 loss: 0.5354 2022/08/26 16:46:29 - mmengine - INFO - Epoch(train) [43][50/125] lr: 8.0000e-02 eta: 1:50:26 time: 0.4074 data_time: 0.1285 memory: 6424 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0145 loss_cls: 0.1090 acc: 96.0449 loss_bbox: 0.1537 loss_mask: 0.2355 loss: 0.5261 2022/08/26 16:46:31 - mmengine - INFO - Epoch(train) [43][55/125] lr: 8.0000e-02 eta: 1:50:26 time: 0.3691 data_time: 0.0934 memory: 6421 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0157 loss_cls: 0.1142 acc: 96.8506 loss_bbox: 0.1608 loss_mask: 0.2593 loss: 0.5613 2022/08/26 16:46:33 - mmengine - INFO - Epoch(train) [43][60/125] lr: 8.0000e-02 eta: 1:50:20 time: 0.4114 data_time: 0.1098 memory: 5964 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0127 loss_cls: 0.1039 acc: 97.5830 loss_bbox: 0.1380 loss_mask: 0.2741 loss: 0.5411 2022/08/26 16:46:35 - mmengine - INFO - Epoch(train) [43][65/125] lr: 8.0000e-02 eta: 1:50:20 time: 0.4290 data_time: 0.1281 memory: 6502 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0137 loss_cls: 0.0854 acc: 97.6074 loss_bbox: 0.1129 loss_mask: 0.2517 loss: 0.4748 2022/08/26 16:46:38 - mmengine - INFO - Epoch(train) [43][70/125] lr: 8.0000e-02 eta: 1:50:17 time: 0.4900 data_time: 0.2211 memory: 6065 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0171 loss_cls: 0.0899 acc: 96.8018 loss_bbox: 0.1237 loss_mask: 0.2571 loss: 0.5004 2022/08/26 16:46:40 - mmengine - INFO - Epoch(train) [43][75/125] lr: 8.0000e-02 eta: 1:50:17 time: 0.4985 data_time: 0.2312 memory: 6157 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0151 loss_cls: 0.0865 acc: 96.2646 loss_bbox: 0.1204 loss_mask: 0.2431 loss: 0.4787 2022/08/26 16:46:42 - mmengine - INFO - Epoch(train) [43][80/125] lr: 8.0000e-02 eta: 1:50:10 time: 0.3611 data_time: 0.0954 memory: 6094 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0120 loss_cls: 0.0851 acc: 95.7031 loss_bbox: 0.1166 loss_mask: 0.2372 loss: 0.4615 2022/08/26 16:46:44 - mmengine - INFO - Epoch(train) [43][85/125] lr: 8.0000e-02 eta: 1:50:10 time: 0.3695 data_time: 0.0802 memory: 6476 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0139 loss_cls: 0.1079 acc: 95.6055 loss_bbox: 0.1478 loss_mask: 0.2594 loss: 0.5405 2022/08/26 16:46:45 - mmengine - INFO - Epoch(train) [43][90/125] lr: 8.0000e-02 eta: 1:50:03 time: 0.3591 data_time: 0.0660 memory: 6324 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0175 loss_cls: 0.1194 acc: 96.2891 loss_bbox: 0.1660 loss_mask: 0.2543 loss: 0.5746 2022/08/26 16:46:47 - mmengine - INFO - Epoch(train) [43][95/125] lr: 8.0000e-02 eta: 1:50:03 time: 0.3428 data_time: 0.0675 memory: 6582 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0147 loss_cls: 0.1100 acc: 93.7012 loss_bbox: 0.1451 loss_mask: 0.2420 loss: 0.5294 2022/08/26 16:46:49 - mmengine - INFO - Epoch(train) [43][100/125] lr: 8.0000e-02 eta: 1:49:56 time: 0.3488 data_time: 0.0743 memory: 6592 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0147 loss_cls: 0.1018 acc: 96.8994 loss_bbox: 0.1387 loss_mask: 0.2296 loss: 0.4968 2022/08/26 16:46:51 - mmengine - INFO - Epoch(train) [43][105/125] lr: 8.0000e-02 eta: 1:49:56 time: 0.3856 data_time: 0.1135 memory: 6304 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0140 loss_cls: 0.1009 acc: 96.2402 loss_bbox: 0.1383 loss_mask: 0.2317 loss: 0.4936 2022/08/26 16:46:53 - mmengine - INFO - Epoch(train) [43][110/125] lr: 8.0000e-02 eta: 1:49:51 time: 0.4337 data_time: 0.1019 memory: 6193 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0127 loss_cls: 0.1019 acc: 97.4609 loss_bbox: 0.1293 loss_mask: 0.2404 loss: 0.4952 2022/08/26 16:46:55 - mmengine - INFO - Epoch(train) [43][115/125] lr: 8.0000e-02 eta: 1:49:51 time: 0.3951 data_time: 0.0595 memory: 6311 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0162 loss_cls: 0.1034 acc: 96.7041 loss_bbox: 0.1407 loss_mask: 0.2450 loss: 0.5194 2022/08/26 16:46:57 - mmengine - INFO - Epoch(train) [43][120/125] lr: 8.0000e-02 eta: 1:49:43 time: 0.3438 data_time: 0.0704 memory: 6186 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0148 loss_cls: 0.1095 acc: 94.6045 loss_bbox: 0.1460 loss_mask: 0.2436 loss: 0.5314 2022/08/26 16:46:59 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:46:59 - mmengine - INFO - Epoch(train) [43][125/125] lr: 8.0000e-02 eta: 1:49:43 time: 0.3788 data_time: 0.1100 memory: 6311 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0119 loss_cls: 0.1195 acc: 95.5566 loss_bbox: 0.1509 loss_mask: 0.2439 loss: 0.5431 2022/08/26 16:47:03 - mmengine - INFO - Epoch(train) [44][5/125] lr: 8.0000e-02 eta: 1:49:43 time: 0.6571 data_time: 0.3009 memory: 6292 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0147 loss_cls: 0.1194 acc: 94.6289 loss_bbox: 0.1612 loss_mask: 0.2405 loss: 0.5493 2022/08/26 16:47:05 - mmengine - INFO - Epoch(train) [44][10/125] lr: 8.0000e-02 eta: 1:49:36 time: 0.6614 data_time: 0.2781 memory: 6232 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0159 loss_cls: 0.1021 acc: 96.8262 loss_bbox: 0.1360 loss_mask: 0.2221 loss: 0.4871 2022/08/26 16:47:07 - mmengine - INFO - Epoch(train) [44][15/125] lr: 8.0000e-02 eta: 1:49:36 time: 0.3855 data_time: 0.0772 memory: 6551 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0152 loss_cls: 0.1005 acc: 97.0215 loss_bbox: 0.1287 loss_mask: 0.2280 loss: 0.4825 2022/08/26 16:47:09 - mmengine - INFO - Epoch(train) [44][20/125] lr: 8.0000e-02 eta: 1:49:29 time: 0.3507 data_time: 0.0688 memory: 6111 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0153 loss_cls: 0.1099 acc: 96.7773 loss_bbox: 0.1492 loss_mask: 0.2406 loss: 0.5276 2022/08/26 16:47:11 - mmengine - INFO - Epoch(train) [44][25/125] lr: 8.0000e-02 eta: 1:49:29 time: 0.3558 data_time: 0.0839 memory: 6313 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0144 loss_cls: 0.1067 acc: 95.5322 loss_bbox: 0.1467 loss_mask: 0.2320 loss: 0.5125 2022/08/26 16:47:13 - mmengine - INFO - Epoch(train) [44][30/125] lr: 8.0000e-02 eta: 1:49:22 time: 0.3679 data_time: 0.0868 memory: 6163 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0142 loss_cls: 0.0987 acc: 95.2148 loss_bbox: 0.1319 loss_mask: 0.2348 loss: 0.4916 2022/08/26 16:47:14 - mmengine - INFO - Epoch(train) [44][35/125] lr: 8.0000e-02 eta: 1:49:22 time: 0.3660 data_time: 0.0818 memory: 5968 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0136 loss_cls: 0.0939 acc: 97.6562 loss_bbox: 0.1214 loss_mask: 0.2393 loss: 0.4812 2022/08/26 16:47:17 - mmengine - INFO - Epoch(train) [44][40/125] lr: 8.0000e-02 eta: 1:49:16 time: 0.3937 data_time: 0.1150 memory: 6601 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0155 loss_cls: 0.1078 acc: 97.1191 loss_bbox: 0.1414 loss_mask: 0.2453 loss: 0.5227 2022/08/26 16:47:18 - mmengine - INFO - Epoch(train) [44][45/125] lr: 8.0000e-02 eta: 1:49:16 time: 0.4072 data_time: 0.1016 memory: 7604 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0165 loss_cls: 0.1139 acc: 96.9971 loss_bbox: 0.1560 loss_mask: 0.2365 loss: 0.5355 2022/08/26 16:47:20 - mmengine - INFO - Epoch(train) [44][50/125] lr: 8.0000e-02 eta: 1:49:10 time: 0.3703 data_time: 0.0637 memory: 6327 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0130 loss_cls: 0.1144 acc: 95.9717 loss_bbox: 0.1526 loss_mask: 0.2339 loss: 0.5275 2022/08/26 16:47:23 - mmengine - INFO - Epoch(train) [44][55/125] lr: 8.0000e-02 eta: 1:49:10 time: 0.4269 data_time: 0.1091 memory: 7687 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0147 loss_cls: 0.1114 acc: 94.0430 loss_bbox: 0.1595 loss_mask: 0.2485 loss: 0.5472 2022/08/26 16:47:25 - mmengine - INFO - Epoch(train) [44][60/125] lr: 8.0000e-02 eta: 1:49:05 time: 0.4371 data_time: 0.1212 memory: 6584 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0153 loss_cls: 0.0975 acc: 97.3877 loss_bbox: 0.1519 loss_mask: 0.2358 loss: 0.5116 2022/08/26 16:47:27 - mmengine - INFO - Epoch(train) [44][65/125] lr: 8.0000e-02 eta: 1:49:05 time: 0.3848 data_time: 0.1119 memory: 6314 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0143 loss_cls: 0.0963 acc: 96.8018 loss_bbox: 0.1350 loss_mask: 0.2504 loss: 0.5084 2022/08/26 16:47:29 - mmengine - INFO - Epoch(train) [44][70/125] lr: 8.0000e-02 eta: 1:48:59 time: 0.4002 data_time: 0.1320 memory: 6098 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0165 loss_cls: 0.1024 acc: 96.0693 loss_bbox: 0.1318 loss_mask: 0.2594 loss: 0.5264 2022/08/26 16:47:31 - mmengine - INFO - Epoch(train) [44][75/125] lr: 8.0000e-02 eta: 1:48:59 time: 0.4171 data_time: 0.1315 memory: 6282 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0239 loss_cls: 0.1148 acc: 96.2646 loss_bbox: 0.1570 loss_mask: 0.2531 loss: 0.5660 2022/08/26 16:47:32 - mmengine - INFO - Epoch(train) [44][80/125] lr: 8.0000e-02 eta: 1:48:52 time: 0.3686 data_time: 0.0753 memory: 6569 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0241 loss_cls: 0.1179 acc: 96.8994 loss_bbox: 0.1701 loss_mask: 0.2560 loss: 0.5842 2022/08/26 16:47:34 - mmengine - INFO - Epoch(train) [44][85/125] lr: 8.0000e-02 eta: 1:48:52 time: 0.3302 data_time: 0.0412 memory: 6107 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0154 loss_cls: 0.1036 acc: 95.4102 loss_bbox: 0.1456 loss_mask: 0.2440 loss: 0.5213 2022/08/26 16:47:37 - mmengine - INFO - Epoch(train) [44][90/125] lr: 8.0000e-02 eta: 1:48:47 time: 0.4355 data_time: 0.1522 memory: 6157 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0141 loss_cls: 0.1023 acc: 95.6787 loss_bbox: 0.1318 loss_mask: 0.2531 loss: 0.5151 2022/08/26 16:47:38 - mmengine - INFO - Epoch(train) [44][95/125] lr: 8.0000e-02 eta: 1:48:47 time: 0.4276 data_time: 0.1572 memory: 6353 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0147 loss_cls: 0.1059 acc: 96.5088 loss_bbox: 0.1342 loss_mask: 0.2495 loss: 0.5192 2022/08/26 16:47:41 - mmengine - INFO - Epoch(train) [44][100/125] lr: 8.0000e-02 eta: 1:48:42 time: 0.4128 data_time: 0.1385 memory: 6245 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0136 loss_cls: 0.1094 acc: 95.7031 loss_bbox: 0.1465 loss_mask: 0.2383 loss: 0.5201 2022/08/26 16:47:43 - mmengine - INFO - Epoch(train) [44][105/125] lr: 8.0000e-02 eta: 1:48:42 time: 0.4233 data_time: 0.1356 memory: 6359 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0124 loss_cls: 0.1066 acc: 97.7783 loss_bbox: 0.1520 loss_mask: 0.2474 loss: 0.5309 2022/08/26 16:47:44 - mmengine - INFO - Epoch(train) [44][110/125] lr: 8.0000e-02 eta: 1:48:35 time: 0.3646 data_time: 0.0615 memory: 6512 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0139 loss_cls: 0.1194 acc: 94.9951 loss_bbox: 0.1750 loss_mask: 0.2620 loss: 0.5835 2022/08/26 16:47:46 - mmengine - INFO - Epoch(train) [44][115/125] lr: 8.0000e-02 eta: 1:48:35 time: 0.3524 data_time: 0.0614 memory: 6207 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0151 loss_cls: 0.1120 acc: 95.8496 loss_bbox: 0.1623 loss_mask: 0.2622 loss: 0.5638 2022/08/26 16:47:48 - mmengine - INFO - Epoch(train) [44][120/125] lr: 8.0000e-02 eta: 1:48:28 time: 0.3381 data_time: 0.0658 memory: 6548 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0149 loss_cls: 0.0899 acc: 98.3643 loss_bbox: 0.1316 loss_mask: 0.2461 loss: 0.4921 2022/08/26 16:47:50 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:47:50 - mmengine - INFO - Epoch(train) [44][125/125] lr: 8.0000e-02 eta: 1:48:28 time: 0.3660 data_time: 0.0927 memory: 6797 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0171 loss_cls: 0.1050 acc: 96.6064 loss_bbox: 0.1466 loss_mask: 0.2340 loss: 0.5127 2022/08/26 16:47:53 - mmengine - INFO - Epoch(train) [45][5/125] lr: 8.0000e-02 eta: 1:48:28 time: 0.4816 data_time: 0.2057 memory: 6373 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0186 loss_cls: 0.1027 acc: 95.9961 loss_bbox: 0.1369 loss_mask: 0.2304 loss: 0.4996 2022/08/26 16:47:55 - mmengine - INFO - Epoch(train) [45][10/125] lr: 8.0000e-02 eta: 1:48:17 time: 0.5277 data_time: 0.2554 memory: 6107 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0156 loss_cls: 0.0893 acc: 97.6074 loss_bbox: 0.1190 loss_mask: 0.2303 loss: 0.4663 2022/08/26 16:47:58 - mmengine - INFO - Epoch(train) [45][15/125] lr: 8.0000e-02 eta: 1:48:17 time: 0.5192 data_time: 0.2501 memory: 6390 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0169 loss_cls: 0.1018 acc: 95.5078 loss_bbox: 0.1346 loss_mask: 0.2435 loss: 0.5116 2022/08/26 16:48:00 - mmengine - INFO - Epoch(train) [45][20/125] lr: 8.0000e-02 eta: 1:48:14 time: 0.5066 data_time: 0.2338 memory: 6226 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0182 loss_cls: 0.1141 acc: 95.9717 loss_bbox: 0.1522 loss_mask: 0.2568 loss: 0.5582 2022/08/26 16:48:02 - mmengine - INFO - Epoch(train) [45][25/125] lr: 8.0000e-02 eta: 1:48:14 time: 0.3847 data_time: 0.1190 memory: 6005 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0152 loss_cls: 0.0963 acc: 97.0947 loss_bbox: 0.1283 loss_mask: 0.2571 loss: 0.5140 2022/08/26 16:48:04 - mmengine - INFO - Epoch(train) [45][30/125] lr: 8.0000e-02 eta: 1:48:09 time: 0.3981 data_time: 0.0655 memory: 6363 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0140 loss_cls: 0.0916 acc: 95.5078 loss_bbox: 0.1182 loss_mask: 0.2423 loss: 0.4814 2022/08/26 16:48:06 - mmengine - INFO - Epoch(train) [45][35/125] lr: 8.0000e-02 eta: 1:48:09 time: 0.4051 data_time: 0.0660 memory: 6659 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0155 loss_cls: 0.1080 acc: 94.4092 loss_bbox: 0.1496 loss_mask: 0.2393 loss: 0.5262 2022/08/26 16:48:08 - mmengine - INFO - Epoch(train) [45][40/125] lr: 8.0000e-02 eta: 1:48:01 time: 0.3364 data_time: 0.0718 memory: 5832 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0145 loss_cls: 0.0966 acc: 97.4365 loss_bbox: 0.1324 loss_mask: 0.2508 loss: 0.5085 2022/08/26 16:48:10 - mmengine - INFO - Epoch(train) [45][45/125] lr: 8.0000e-02 eta: 1:48:01 time: 0.4055 data_time: 0.1385 memory: 6426 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0149 loss_cls: 0.1009 acc: 96.4355 loss_bbox: 0.1361 loss_mask: 0.2372 loss: 0.5066 2022/08/26 16:48:12 - mmengine - INFO - Epoch(train) [45][50/125] lr: 8.0000e-02 eta: 1:47:56 time: 0.4335 data_time: 0.1631 memory: 6287 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0173 loss_cls: 0.1137 acc: 94.7998 loss_bbox: 0.1591 loss_mask: 0.2508 loss: 0.5576 2022/08/26 16:48:13 - mmengine - INFO - Epoch(train) [45][55/125] lr: 8.0000e-02 eta: 1:47:56 time: 0.3517 data_time: 0.0853 memory: 6156 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0125 loss_cls: 0.1013 acc: 95.4590 loss_bbox: 0.1329 loss_mask: 0.2703 loss: 0.5298 2022/08/26 16:48:15 - mmengine - INFO - Epoch(train) [45][60/125] lr: 8.0000e-02 eta: 1:47:49 time: 0.3605 data_time: 0.0641 memory: 7887 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0143 loss_cls: 0.1177 acc: 95.8740 loss_bbox: 0.1605 loss_mask: 0.2599 loss: 0.5713 2022/08/26 16:48:17 - mmengine - INFO - Epoch(train) [45][65/125] lr: 8.0000e-02 eta: 1:47:49 time: 0.3972 data_time: 0.0988 memory: 6503 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0228 loss_cls: 0.1275 acc: 97.0703 loss_bbox: 0.1779 loss_mask: 0.2573 loss: 0.6073 2022/08/26 16:48:21 - mmengine - INFO - Epoch(train) [45][70/125] lr: 8.0000e-02 eta: 1:47:48 time: 0.5508 data_time: 0.1990 memory: 6412 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0191 loss_cls: 0.1160 acc: 96.7285 loss_bbox: 0.1548 loss_mask: 0.2554 loss: 0.5608 2022/08/26 16:48:23 - mmengine - INFO - Epoch(train) [45][75/125] lr: 8.0000e-02 eta: 1:47:48 time: 0.5655 data_time: 0.1960 memory: 6489 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0138 loss_cls: 0.1094 acc: 96.7529 loss_bbox: 0.1436 loss_mask: 0.2475 loss: 0.5251 2022/08/26 16:48:25 - mmengine - INFO - Epoch(train) [45][80/125] lr: 8.0000e-02 eta: 1:47:41 time: 0.3669 data_time: 0.0790 memory: 5963 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0148 loss_cls: 0.0992 acc: 97.1680 loss_bbox: 0.1264 loss_mask: 0.2472 loss: 0.4989 2022/08/26 16:48:26 - mmengine - INFO - Epoch(train) [45][85/125] lr: 8.0000e-02 eta: 1:47:41 time: 0.3242 data_time: 0.0545 memory: 6217 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0158 loss_cls: 0.0938 acc: 95.3857 loss_bbox: 0.1225 loss_mask: 0.2415 loss: 0.4853 2022/08/26 16:48:29 - mmengine - INFO - Epoch(train) [45][90/125] lr: 8.0000e-02 eta: 1:47:35 time: 0.4010 data_time: 0.0711 memory: 6246 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0174 loss_cls: 0.1000 acc: 95.8252 loss_bbox: 0.1416 loss_mask: 0.2384 loss: 0.5073 2022/08/26 16:48:30 - mmengine - INFO - Epoch(train) [45][95/125] lr: 8.0000e-02 eta: 1:47:35 time: 0.3949 data_time: 0.0618 memory: 6329 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0187 loss_cls: 0.1090 acc: 96.9971 loss_bbox: 0.1600 loss_mask: 0.2506 loss: 0.5483 2022/08/26 16:48:32 - mmengine - INFO - Epoch(train) [45][100/125] lr: 8.0000e-02 eta: 1:47:28 time: 0.3333 data_time: 0.0611 memory: 6140 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0161 loss_cls: 0.1017 acc: 97.4121 loss_bbox: 0.1465 loss_mask: 0.2499 loss: 0.5255 2022/08/26 16:48:35 - mmengine - INFO - Epoch(train) [45][105/125] lr: 8.0000e-02 eta: 1:47:28 time: 0.4264 data_time: 0.1146 memory: 6369 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0140 loss_cls: 0.1076 acc: 94.7754 loss_bbox: 0.1521 loss_mask: 0.2512 loss: 0.5383 2022/08/26 16:48:36 - mmengine - INFO - Epoch(train) [45][110/125] lr: 8.0000e-02 eta: 1:47:23 time: 0.4312 data_time: 0.1155 memory: 6473 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0137 loss_cls: 0.1195 acc: 94.6045 loss_bbox: 0.1640 loss_mask: 0.2473 loss: 0.5572 2022/08/26 16:48:38 - mmengine - INFO - Epoch(train) [45][115/125] lr: 8.0000e-02 eta: 1:47:23 time: 0.3476 data_time: 0.0730 memory: 6229 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0126 loss_cls: 0.1086 acc: 96.0449 loss_bbox: 0.1454 loss_mask: 0.2427 loss: 0.5216 2022/08/26 16:48:40 - mmengine - INFO - Epoch(train) [45][120/125] lr: 8.0000e-02 eta: 1:47:16 time: 0.3391 data_time: 0.0679 memory: 6213 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0120 loss_cls: 0.1015 acc: 95.3613 loss_bbox: 0.1400 loss_mask: 0.2381 loss: 0.5030 2022/08/26 16:48:41 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:48:41 - mmengine - INFO - Epoch(train) [45][125/125] lr: 8.0000e-02 eta: 1:47:16 time: 0.3215 data_time: 0.0568 memory: 5961 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0088 loss_cls: 0.0964 acc: 95.0684 loss_bbox: 0.1322 loss_mask: 0.2412 loss: 0.4890 2022/08/26 16:48:45 - mmengine - INFO - Epoch(train) [46][5/125] lr: 8.0000e-02 eta: 1:47:16 time: 0.5227 data_time: 0.2239 memory: 6156 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0108 loss_cls: 0.1094 acc: 96.4355 loss_bbox: 0.1363 loss_mask: 0.2571 loss: 0.5244 2022/08/26 16:48:47 - mmengine - INFO - Epoch(train) [46][10/125] lr: 8.0000e-02 eta: 1:47:06 time: 0.5535 data_time: 0.2492 memory: 6412 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0153 loss_cls: 0.1136 acc: 97.2656 loss_bbox: 0.1412 loss_mask: 0.2509 loss: 0.5325 2022/08/26 16:48:48 - mmengine - INFO - Epoch(train) [46][15/125] lr: 8.0000e-02 eta: 1:47:06 time: 0.3337 data_time: 0.0657 memory: 6078 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0134 loss_cls: 0.0921 acc: 97.8760 loss_bbox: 0.1233 loss_mask: 0.2456 loss: 0.4847 2022/08/26 16:48:50 - mmengine - INFO - Epoch(train) [46][20/125] lr: 8.0000e-02 eta: 1:46:58 time: 0.3249 data_time: 0.0587 memory: 6080 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0137 loss_cls: 0.0904 acc: 95.9473 loss_bbox: 0.1162 loss_mask: 0.2569 loss: 0.4904 2022/08/26 16:48:52 - mmengine - INFO - Epoch(train) [46][25/125] lr: 8.0000e-02 eta: 1:46:58 time: 0.3775 data_time: 0.0870 memory: 7365 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0187 loss_cls: 0.1089 acc: 97.5342 loss_bbox: 0.1409 loss_mask: 0.2556 loss: 0.5404 2022/08/26 16:48:54 - mmengine - INFO - Epoch(train) [46][30/125] lr: 8.0000e-02 eta: 1:46:53 time: 0.3943 data_time: 0.0860 memory: 6120 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0184 loss_cls: 0.1099 acc: 96.1914 loss_bbox: 0.1475 loss_mask: 0.2406 loss: 0.5294 2022/08/26 16:48:56 - mmengine - INFO - Epoch(train) [46][35/125] lr: 8.0000e-02 eta: 1:46:53 time: 0.3448 data_time: 0.0554 memory: 6528 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0151 loss_cls: 0.1097 acc: 94.7754 loss_bbox: 0.1547 loss_mask: 0.2427 loss: 0.5325 2022/08/26 16:48:58 - mmengine - INFO - Epoch(train) [46][40/125] lr: 8.0000e-02 eta: 1:46:46 time: 0.3477 data_time: 0.0751 memory: 6062 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0140 loss_cls: 0.1122 acc: 96.5332 loss_bbox: 0.1518 loss_mask: 0.2607 loss: 0.5526 2022/08/26 16:48:59 - mmengine - INFO - Epoch(train) [46][45/125] lr: 8.0000e-02 eta: 1:46:46 time: 0.3648 data_time: 0.0948 memory: 6506 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0142 loss_cls: 0.1039 acc: 95.7520 loss_bbox: 0.1316 loss_mask: 0.2584 loss: 0.5232 2022/08/26 16:49:01 - mmengine - INFO - Epoch(train) [46][50/125] lr: 8.0000e-02 eta: 1:46:39 time: 0.3430 data_time: 0.0689 memory: 6173 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0139 loss_cls: 0.1032 acc: 97.1680 loss_bbox: 0.1377 loss_mask: 0.2279 loss: 0.4952 2022/08/26 16:49:03 - mmengine - INFO - Epoch(train) [46][55/125] lr: 8.0000e-02 eta: 1:46:39 time: 0.3648 data_time: 0.0822 memory: 6212 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0148 loss_cls: 0.1045 acc: 97.1680 loss_bbox: 0.1341 loss_mask: 0.2285 loss: 0.4946 2022/08/26 16:49:05 - mmengine - INFO - Epoch(train) [46][60/125] lr: 8.0000e-02 eta: 1:46:32 time: 0.3636 data_time: 0.0641 memory: 6337 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0133 loss_cls: 0.1014 acc: 95.9961 loss_bbox: 0.1265 loss_mask: 0.2291 loss: 0.4824 2022/08/26 16:49:07 - mmengine - INFO - Epoch(train) [46][65/125] lr: 8.0000e-02 eta: 1:46:32 time: 0.4558 data_time: 0.1632 memory: 6196 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0134 loss_cls: 0.1020 acc: 95.8984 loss_bbox: 0.1433 loss_mask: 0.2341 loss: 0.5055 2022/08/26 16:49:09 - mmengine - INFO - Epoch(train) [46][70/125] lr: 8.0000e-02 eta: 1:46:28 time: 0.4721 data_time: 0.1999 memory: 6607 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0126 loss_cls: 0.0971 acc: 93.9209 loss_bbox: 0.1390 loss_mask: 0.2582 loss: 0.5185 2022/08/26 16:49:11 - mmengine - INFO - Epoch(train) [46][75/125] lr: 8.0000e-02 eta: 1:46:28 time: 0.3409 data_time: 0.0751 memory: 6104 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0100 loss_cls: 0.0886 acc: 96.7041 loss_bbox: 0.1178 loss_mask: 0.2607 loss: 0.4895 2022/08/26 16:49:14 - mmengine - INFO - Epoch(train) [46][80/125] lr: 8.0000e-02 eta: 1:46:24 time: 0.4613 data_time: 0.1370 memory: 7767 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0144 loss_cls: 0.1039 acc: 92.4805 loss_bbox: 0.1423 loss_mask: 0.2511 loss: 0.5269 2022/08/26 16:49:16 - mmengine - INFO - Epoch(train) [46][85/125] lr: 8.0000e-02 eta: 1:46:24 time: 0.4719 data_time: 0.1393 memory: 6408 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0159 loss_cls: 0.1066 acc: 97.0703 loss_bbox: 0.1541 loss_mask: 0.2286 loss: 0.5178 2022/08/26 16:49:18 - mmengine - INFO - Epoch(train) [46][90/125] lr: 8.0000e-02 eta: 1:46:19 time: 0.4212 data_time: 0.1471 memory: 6365 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0149 loss_cls: 0.0968 acc: 96.9971 loss_bbox: 0.1427 loss_mask: 0.2244 loss: 0.4888 2022/08/26 16:49:20 - mmengine - INFO - Epoch(train) [46][95/125] lr: 8.0000e-02 eta: 1:46:19 time: 0.4454 data_time: 0.1667 memory: 6271 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0173 loss_cls: 0.1086 acc: 96.4600 loss_bbox: 0.1528 loss_mask: 0.2551 loss: 0.5464 2022/08/26 16:49:22 - mmengine - INFO - Epoch(train) [46][100/125] lr: 8.0000e-02 eta: 1:46:12 time: 0.3560 data_time: 0.0792 memory: 6186 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0172 loss_cls: 0.1147 acc: 97.5098 loss_bbox: 0.1479 loss_mask: 0.2652 loss: 0.5601 2022/08/26 16:49:24 - mmengine - INFO - Epoch(train) [46][105/125] lr: 8.0000e-02 eta: 1:46:12 time: 0.3862 data_time: 0.0694 memory: 6450 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0153 loss_cls: 0.1131 acc: 95.1904 loss_bbox: 0.1478 loss_mask: 0.2477 loss: 0.5359 2022/08/26 16:49:27 - mmengine - INFO - Epoch(train) [46][110/125] lr: 8.0000e-02 eta: 1:46:10 time: 0.5484 data_time: 0.0831 memory: 6369 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0160 loss_cls: 0.1120 acc: 96.3867 loss_bbox: 0.1567 loss_mask: 0.2408 loss: 0.5381 2022/08/26 16:49:29 - mmengine - INFO - Epoch(train) [46][115/125] lr: 8.0000e-02 eta: 1:46:10 time: 0.5081 data_time: 0.0874 memory: 6672 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0182 loss_cls: 0.1072 acc: 97.8516 loss_bbox: 0.1476 loss_mask: 0.2353 loss: 0.5212 2022/08/26 16:49:31 - mmengine - INFO - Epoch(train) [46][120/125] lr: 8.0000e-02 eta: 1:46:05 time: 0.4211 data_time: 0.1184 memory: 7726 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0218 loss_cls: 0.1104 acc: 96.7773 loss_bbox: 0.1521 loss_mask: 0.2295 loss: 0.5264 2022/08/26 16:49:33 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:49:33 - mmengine - INFO - Epoch(train) [46][125/125] lr: 8.0000e-02 eta: 1:46:05 time: 0.4105 data_time: 0.0970 memory: 6328 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0190 loss_cls: 0.1173 acc: 96.7041 loss_bbox: 0.1624 loss_mask: 0.2374 loss: 0.5503 2022/08/26 16:49:36 - mmengine - INFO - Epoch(train) [47][5/125] lr: 8.0000e-02 eta: 1:46:05 time: 0.4909 data_time: 0.2002 memory: 6416 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0182 loss_cls: 0.1122 acc: 98.1689 loss_bbox: 0.1547 loss_mask: 0.2325 loss: 0.5316 2022/08/26 16:49:38 - mmengine - INFO - Epoch(train) [47][10/125] lr: 8.0000e-02 eta: 1:45:54 time: 0.4967 data_time: 0.2209 memory: 5950 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0173 loss_cls: 0.0949 acc: 97.1924 loss_bbox: 0.1308 loss_mask: 0.2316 loss: 0.4855 2022/08/26 16:49:40 - mmengine - INFO - Epoch(train) [47][15/125] lr: 8.0000e-02 eta: 1:45:54 time: 0.3400 data_time: 0.0661 memory: 6107 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0145 loss_cls: 0.0959 acc: 95.6787 loss_bbox: 0.1346 loss_mask: 0.2366 loss: 0.4915 2022/08/26 16:49:42 - mmengine - INFO - Epoch(train) [47][20/125] lr: 8.0000e-02 eta: 1:45:48 time: 0.3772 data_time: 0.1008 memory: 5966 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0175 loss_cls: 0.0956 acc: 97.3145 loss_bbox: 0.1274 loss_mask: 0.2464 loss: 0.4987 2022/08/26 16:49:44 - mmengine - INFO - Epoch(train) [47][25/125] lr: 8.0000e-02 eta: 1:45:48 time: 0.3843 data_time: 0.1052 memory: 6193 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0147 loss_cls: 0.0925 acc: 95.3125 loss_bbox: 0.1204 loss_mask: 0.2507 loss: 0.4886 2022/08/26 16:49:47 - mmengine - INFO - Epoch(train) [47][30/125] lr: 8.0000e-02 eta: 1:45:44 time: 0.4659 data_time: 0.1762 memory: 6346 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0112 loss_cls: 0.1070 acc: 94.7266 loss_bbox: 0.1412 loss_mask: 0.2307 loss: 0.5003 2022/08/26 16:49:48 - mmengine - INFO - Epoch(train) [47][35/125] lr: 8.0000e-02 eta: 1:45:44 time: 0.4693 data_time: 0.1824 memory: 6399 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0137 loss_cls: 0.1213 acc: 95.6787 loss_bbox: 0.1558 loss_mask: 0.2408 loss: 0.5442 2022/08/26 16:49:50 - mmengine - INFO - Epoch(train) [47][40/125] lr: 8.0000e-02 eta: 1:45:37 time: 0.3259 data_time: 0.0546 memory: 5954 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0121 loss_cls: 0.1097 acc: 96.3379 loss_bbox: 0.1375 loss_mask: 0.2714 loss: 0.5439 2022/08/26 16:49:52 - mmengine - INFO - Epoch(train) [47][45/125] lr: 8.0000e-02 eta: 1:45:37 time: 0.3425 data_time: 0.0734 memory: 6278 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0131 loss_cls: 0.0958 acc: 98.6084 loss_bbox: 0.1192 loss_mask: 0.2611 loss: 0.5002 2022/08/26 16:49:54 - mmengine - INFO - Epoch(train) [47][50/125] lr: 8.0000e-02 eta: 1:45:32 time: 0.4374 data_time: 0.1380 memory: 6498 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0203 loss_cls: 0.1016 acc: 98.4863 loss_bbox: 0.1450 loss_mask: 0.2395 loss: 0.5177 2022/08/26 16:49:56 - mmengine - INFO - Epoch(train) [47][55/125] lr: 8.0000e-02 eta: 1:45:32 time: 0.4066 data_time: 0.1098 memory: 6084 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0168 loss_cls: 0.1028 acc: 95.9473 loss_bbox: 0.1468 loss_mask: 0.2431 loss: 0.5226 2022/08/26 16:49:58 - mmengine - INFO - Epoch(train) [47][60/125] lr: 8.0000e-02 eta: 1:45:25 time: 0.3425 data_time: 0.0708 memory: 6317 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0164 loss_cls: 0.1130 acc: 94.0186 loss_bbox: 0.1550 loss_mask: 0.2538 loss: 0.5549 2022/08/26 16:49:59 - mmengine - INFO - Epoch(train) [47][65/125] lr: 8.0000e-02 eta: 1:45:25 time: 0.3633 data_time: 0.0923 memory: 6239 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0192 loss_cls: 0.1104 acc: 97.0215 loss_bbox: 0.1472 loss_mask: 0.2513 loss: 0.5439 2022/08/26 16:50:01 - mmengine - INFO - Epoch(train) [47][70/125] lr: 8.0000e-02 eta: 1:45:18 time: 0.3563 data_time: 0.0859 memory: 6264 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0181 loss_cls: 0.1079 acc: 96.5576 loss_bbox: 0.1335 loss_mask: 0.2428 loss: 0.5206 2022/08/26 16:50:04 - mmengine - INFO - Epoch(train) [47][75/125] lr: 8.0000e-02 eta: 1:45:18 time: 0.4433 data_time: 0.1158 memory: 6555 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0163 loss_cls: 0.1113 acc: 95.8008 loss_bbox: 0.1555 loss_mask: 0.2408 loss: 0.5413 2022/08/26 16:50:06 - mmengine - INFO - Epoch(train) [47][80/125] lr: 8.0000e-02 eta: 1:45:15 time: 0.4735 data_time: 0.1252 memory: 7207 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0128 loss_cls: 0.1002 acc: 97.9736 loss_bbox: 0.1448 loss_mask: 0.2323 loss: 0.5016 2022/08/26 16:50:08 - mmengine - INFO - Epoch(train) [47][85/125] lr: 8.0000e-02 eta: 1:45:15 time: 0.3838 data_time: 0.0906 memory: 6003 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0143 loss_cls: 0.0973 acc: 95.7275 loss_bbox: 0.1299 loss_mask: 0.2448 loss: 0.4985 2022/08/26 16:50:10 - mmengine - INFO - Epoch(train) [47][90/125] lr: 8.0000e-02 eta: 1:45:08 time: 0.3631 data_time: 0.0916 memory: 6440 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0137 loss_cls: 0.0970 acc: 94.7754 loss_bbox: 0.1267 loss_mask: 0.2549 loss: 0.5044 2022/08/26 16:50:12 - mmengine - INFO - Epoch(train) [47][95/125] lr: 8.0000e-02 eta: 1:45:08 time: 0.4781 data_time: 0.2085 memory: 6124 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0135 loss_cls: 0.0987 acc: 95.6787 loss_bbox: 0.1277 loss_mask: 0.2636 loss: 0.5182 2022/08/26 16:50:15 - mmengine - INFO - Epoch(train) [47][100/125] lr: 8.0000e-02 eta: 1:45:05 time: 0.5018 data_time: 0.2104 memory: 6298 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0158 loss_cls: 0.1112 acc: 95.6543 loss_bbox: 0.1408 loss_mask: 0.2834 loss: 0.5682 2022/08/26 16:50:16 - mmengine - INFO - Epoch(train) [47][105/125] lr: 8.0000e-02 eta: 1:45:05 time: 0.3860 data_time: 0.0918 memory: 6203 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0155 loss_cls: 0.1142 acc: 97.0947 loss_bbox: 0.1487 loss_mask: 0.2653 loss: 0.5575 2022/08/26 16:50:18 - mmengine - INFO - Epoch(train) [47][110/125] lr: 8.0000e-02 eta: 1:44:58 time: 0.3482 data_time: 0.0640 memory: 6555 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0167 loss_cls: 0.1164 acc: 92.8711 loss_bbox: 0.1589 loss_mask: 0.2512 loss: 0.5540 2022/08/26 16:50:20 - mmengine - INFO - Epoch(train) [47][115/125] lr: 8.0000e-02 eta: 1:44:58 time: 0.3483 data_time: 0.0609 memory: 6360 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0143 loss_cls: 0.1224 acc: 94.6045 loss_bbox: 0.1670 loss_mask: 0.2582 loss: 0.5729 2022/08/26 16:50:21 - mmengine - INFO - Epoch(train) [47][120/125] lr: 8.0000e-02 eta: 1:44:51 time: 0.3416 data_time: 0.0687 memory: 6377 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0123 loss_cls: 0.1182 acc: 94.5557 loss_bbox: 0.1576 loss_mask: 0.2490 loss: 0.5518 2022/08/26 16:50:24 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:50:24 - mmengine - INFO - Epoch(train) [47][125/125] lr: 8.0000e-02 eta: 1:44:51 time: 0.4403 data_time: 0.0971 memory: 6467 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0147 loss_cls: 0.1134 acc: 96.5820 loss_bbox: 0.1494 loss_mask: 0.2335 loss: 0.5271 2022/08/26 16:50:28 - mmengine - INFO - Epoch(train) [48][5/125] lr: 8.0000e-02 eta: 1:44:51 time: 0.6402 data_time: 0.2688 memory: 6486 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0141 loss_cls: 0.1092 acc: 98.2178 loss_bbox: 0.1475 loss_mask: 0.2322 loss: 0.5151 2022/08/26 16:50:30 - mmengine - INFO - Epoch(train) [48][10/125] lr: 8.0000e-02 eta: 1:44:42 time: 0.5563 data_time: 0.2557 memory: 6116 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0130 loss_cls: 0.1050 acc: 95.8984 loss_bbox: 0.1386 loss_mask: 0.2362 loss: 0.5016 2022/08/26 16:50:32 - mmengine - INFO - Epoch(train) [48][15/125] lr: 8.0000e-02 eta: 1:44:42 time: 0.3540 data_time: 0.0836 memory: 6029 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0124 loss_cls: 0.1049 acc: 97.0703 loss_bbox: 0.1333 loss_mask: 0.2330 loss: 0.4939 2022/08/26 16:50:34 - mmengine - INFO - Epoch(train) [48][20/125] lr: 8.0000e-02 eta: 1:44:35 time: 0.3470 data_time: 0.0782 memory: 6419 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0130 loss_cls: 0.1159 acc: 94.9463 loss_bbox: 0.1485 loss_mask: 0.2533 loss: 0.5451 2022/08/26 16:50:36 - mmengine - INFO - Epoch(train) [48][25/125] lr: 8.0000e-02 eta: 1:44:35 time: 0.4292 data_time: 0.1521 memory: 6074 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0174 loss_cls: 0.1186 acc: 95.4834 loss_bbox: 0.1513 loss_mask: 0.2506 loss: 0.5514 2022/08/26 16:50:38 - mmengine - INFO - Epoch(train) [48][30/125] lr: 8.0000e-02 eta: 1:44:31 time: 0.4483 data_time: 0.1654 memory: 6413 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0182 loss_cls: 0.1158 acc: 95.6543 loss_bbox: 0.1521 loss_mask: 0.2432 loss: 0.5411 2022/08/26 16:50:40 - mmengine - INFO - Epoch(train) [48][35/125] lr: 8.0000e-02 eta: 1:44:31 time: 0.3904 data_time: 0.1085 memory: 6329 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0176 loss_cls: 0.1110 acc: 96.1426 loss_bbox: 0.1519 loss_mask: 0.2508 loss: 0.5403 2022/08/26 16:50:42 - mmengine - INFO - Epoch(train) [48][40/125] lr: 8.0000e-02 eta: 1:44:25 time: 0.4030 data_time: 0.0798 memory: 7378 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0204 loss_cls: 0.1079 acc: 96.8262 loss_bbox: 0.1501 loss_mask: 0.2479 loss: 0.5370 2022/08/26 16:50:45 - mmengine - INFO - Epoch(train) [48][45/125] lr: 8.0000e-02 eta: 1:44:25 time: 0.4610 data_time: 0.1061 memory: 6440 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0180 loss_cls: 0.1143 acc: 96.9482 loss_bbox: 0.1573 loss_mask: 0.2426 loss: 0.5459 2022/08/26 16:50:46 - mmengine - INFO - Epoch(train) [48][50/125] lr: 8.0000e-02 eta: 1:44:21 time: 0.4292 data_time: 0.1200 memory: 6619 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0152 loss_cls: 0.1122 acc: 96.9482 loss_bbox: 0.1554 loss_mask: 0.2341 loss: 0.5284 2022/08/26 16:50:48 - mmengine - INFO - Epoch(train) [48][55/125] lr: 8.0000e-02 eta: 1:44:21 time: 0.3874 data_time: 0.1097 memory: 6565 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0191 loss_cls: 0.1112 acc: 94.9219 loss_bbox: 0.1527 loss_mask: 0.2332 loss: 0.5300 2022/08/26 16:50:50 - mmengine - INFO - Epoch(train) [48][60/125] lr: 8.0000e-02 eta: 1:44:14 time: 0.3729 data_time: 0.0969 memory: 6337 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0177 loss_cls: 0.1074 acc: 95.0684 loss_bbox: 0.1417 loss_mask: 0.2265 loss: 0.5068 2022/08/26 16:50:52 - mmengine - INFO - Epoch(train) [48][65/125] lr: 8.0000e-02 eta: 1:44:14 time: 0.3326 data_time: 0.0637 memory: 5960 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0125 loss_cls: 0.0922 acc: 96.7285 loss_bbox: 0.1248 loss_mask: 0.2211 loss: 0.4612 2022/08/26 16:50:54 - mmengine - INFO - Epoch(train) [48][70/125] lr: 8.0000e-02 eta: 1:44:07 time: 0.3357 data_time: 0.0506 memory: 6330 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0123 loss_cls: 0.0898 acc: 95.0439 loss_bbox: 0.1256 loss_mask: 0.2304 loss: 0.4687 2022/08/26 16:50:55 - mmengine - INFO - Epoch(train) [48][75/125] lr: 8.0000e-02 eta: 1:44:07 time: 0.3489 data_time: 0.0563 memory: 6705 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0142 loss_cls: 0.1152 acc: 95.3369 loss_bbox: 0.1608 loss_mask: 0.2340 loss: 0.5346 2022/08/26 16:50:57 - mmengine - INFO - Epoch(train) [48][80/125] lr: 8.0000e-02 eta: 1:44:01 time: 0.3507 data_time: 0.0764 memory: 6235 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0143 loss_cls: 0.1135 acc: 97.3877 loss_bbox: 0.1556 loss_mask: 0.2281 loss: 0.5209 2022/08/26 16:51:01 - mmengine - INFO - Epoch(train) [48][85/125] lr: 8.0000e-02 eta: 1:44:01 time: 0.5318 data_time: 0.2551 memory: 6170 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0143 loss_cls: 0.0985 acc: 97.2168 loss_bbox: 0.1267 loss_mask: 0.2212 loss: 0.4755 2022/08/26 16:51:02 - mmengine - INFO - Epoch(train) [48][90/125] lr: 8.0000e-02 eta: 1:43:58 time: 0.5197 data_time: 0.2391 memory: 6271 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0173 loss_cls: 0.1058 acc: 95.9473 loss_bbox: 0.1332 loss_mask: 0.2211 loss: 0.4943 2022/08/26 16:51:05 - mmengine - INFO - Epoch(train) [48][95/125] lr: 8.0000e-02 eta: 1:43:58 time: 0.4264 data_time: 0.0920 memory: 6091 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0165 loss_cls: 0.1028 acc: 94.7754 loss_bbox: 0.1416 loss_mask: 0.2448 loss: 0.5172 2022/08/26 16:51:07 - mmengine - INFO - Epoch(train) [48][100/125] lr: 8.0000e-02 eta: 1:43:55 time: 0.4841 data_time: 0.1475 memory: 6692 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0183 loss_cls: 0.0988 acc: 95.9717 loss_bbox: 0.1454 loss_mask: 0.2464 loss: 0.5198 2022/08/26 16:51:09 - mmengine - INFO - Epoch(train) [48][105/125] lr: 8.0000e-02 eta: 1:43:55 time: 0.4226 data_time: 0.1453 memory: 6098 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0187 loss_cls: 0.1015 acc: 97.8271 loss_bbox: 0.1385 loss_mask: 0.2487 loss: 0.5223 2022/08/26 16:51:11 - mmengine - INFO - Epoch(train) [48][110/125] lr: 8.0000e-02 eta: 1:43:48 time: 0.3739 data_time: 0.1031 memory: 6330 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0144 loss_cls: 0.0984 acc: 94.5312 loss_bbox: 0.1309 loss_mask: 0.2554 loss: 0.5140 2022/08/26 16:51:13 - mmengine - INFO - Epoch(train) [48][115/125] lr: 8.0000e-02 eta: 1:43:48 time: 0.3713 data_time: 0.0987 memory: 6369 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0145 loss_cls: 0.0991 acc: 95.3857 loss_bbox: 0.1399 loss_mask: 0.2438 loss: 0.5109 2022/08/26 16:51:15 - mmengine - INFO - Epoch(train) [48][120/125] lr: 8.0000e-02 eta: 1:43:42 time: 0.3791 data_time: 0.1063 memory: 6107 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0143 loss_cls: 0.1054 acc: 96.7285 loss_bbox: 0.1466 loss_mask: 0.2334 loss: 0.5143 2022/08/26 16:51:16 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:51:16 - mmengine - INFO - Epoch(train) [48][125/125] lr: 8.0000e-02 eta: 1:43:42 time: 0.3423 data_time: 0.0714 memory: 6463 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0134 loss_cls: 0.1128 acc: 96.6553 loss_bbox: 0.1560 loss_mask: 0.2348 loss: 0.5299 2022/08/26 16:51:19 - mmengine - INFO - Epoch(train) [49][5/125] lr: 8.0000e-02 eta: 1:43:42 time: 0.4686 data_time: 0.1934 memory: 6353 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0135 loss_cls: 0.1148 acc: 97.7539 loss_bbox: 0.1600 loss_mask: 0.2428 loss: 0.5432 2022/08/26 16:51:21 - mmengine - INFO - Epoch(train) [49][10/125] lr: 8.0000e-02 eta: 1:43:32 time: 0.5139 data_time: 0.2407 memory: 6137 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0121 loss_cls: 0.1022 acc: 96.5576 loss_bbox: 0.1379 loss_mask: 0.2526 loss: 0.5156 2022/08/26 16:51:24 - mmengine - INFO - Epoch(train) [49][15/125] lr: 8.0000e-02 eta: 1:43:32 time: 0.4386 data_time: 0.1249 memory: 6241 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0122 loss_cls: 0.1011 acc: 95.7275 loss_bbox: 0.1345 loss_mask: 0.2639 loss: 0.5218 2022/08/26 16:51:26 - mmengine - INFO - Epoch(train) [49][20/125] lr: 8.0000e-02 eta: 1:43:28 time: 0.4552 data_time: 0.1121 memory: 7753 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0139 loss_cls: 0.0988 acc: 96.9482 loss_bbox: 0.1405 loss_mask: 0.2439 loss: 0.5110 2022/08/26 16:51:28 - mmengine - INFO - Epoch(train) [49][25/125] lr: 8.0000e-02 eta: 1:43:28 time: 0.3817 data_time: 0.0850 memory: 6164 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0115 loss_cls: 0.0907 acc: 98.0225 loss_bbox: 0.1291 loss_mask: 0.2193 loss: 0.4634 2022/08/26 16:51:30 - mmengine - INFO - Epoch(train) [49][30/125] lr: 8.0000e-02 eta: 1:43:22 time: 0.3538 data_time: 0.0766 memory: 6548 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0119 loss_cls: 0.1031 acc: 96.5088 loss_bbox: 0.1472 loss_mask: 0.2292 loss: 0.5046 2022/08/26 16:51:32 - mmengine - INFO - Epoch(train) [49][35/125] lr: 8.0000e-02 eta: 1:43:22 time: 0.4312 data_time: 0.1496 memory: 6360 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0166 loss_cls: 0.1122 acc: 96.7773 loss_bbox: 0.1685 loss_mask: 0.2386 loss: 0.5501 2022/08/26 16:51:34 - mmengine - INFO - Epoch(train) [49][40/125] lr: 8.0000e-02 eta: 1:43:16 time: 0.4175 data_time: 0.1442 memory: 6287 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0161 loss_cls: 0.1083 acc: 96.6797 loss_bbox: 0.1505 loss_mask: 0.2462 loss: 0.5323 2022/08/26 16:51:36 - mmengine - INFO - Epoch(train) [49][45/125] lr: 8.0000e-02 eta: 1:43:16 time: 0.3641 data_time: 0.0873 memory: 6691 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0171 loss_cls: 0.1160 acc: 96.4600 loss_bbox: 0.1582 loss_mask: 0.2387 loss: 0.5443 2022/08/26 16:51:39 - mmengine - INFO - Epoch(train) [49][50/125] lr: 8.0000e-02 eta: 1:43:13 time: 0.4872 data_time: 0.0987 memory: 6408 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0178 loss_cls: 0.1129 acc: 95.4346 loss_bbox: 0.1638 loss_mask: 0.2333 loss: 0.5413 2022/08/26 16:51:40 - mmengine - INFO - Epoch(train) [49][55/125] lr: 8.0000e-02 eta: 1:43:13 time: 0.4754 data_time: 0.0915 memory: 6289 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0138 loss_cls: 0.0974 acc: 97.5830 loss_bbox: 0.1335 loss_mask: 0.2347 loss: 0.4912 2022/08/26 16:51:42 - mmengine - INFO - Epoch(train) [49][60/125] lr: 8.0000e-02 eta: 1:43:07 time: 0.3876 data_time: 0.1146 memory: 6324 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0131 loss_cls: 0.0969 acc: 97.0215 loss_bbox: 0.1272 loss_mask: 0.2459 loss: 0.4963 2022/08/26 16:51:44 - mmengine - INFO - Epoch(train) [49][65/125] lr: 8.0000e-02 eta: 1:43:07 time: 0.4124 data_time: 0.1310 memory: 6207 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0133 loss_cls: 0.1061 acc: 96.2646 loss_bbox: 0.1326 loss_mask: 0.2600 loss: 0.5294 2022/08/26 16:51:47 - mmengine - INFO - Epoch(train) [49][70/125] lr: 8.0000e-02 eta: 1:43:03 time: 0.4537 data_time: 0.1693 memory: 6392 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0139 loss_cls: 0.1151 acc: 94.8486 loss_bbox: 0.1471 loss_mask: 0.2354 loss: 0.5296 2022/08/26 16:51:49 - mmengine - INFO - Epoch(train) [49][75/125] lr: 8.0000e-02 eta: 1:43:03 time: 0.4424 data_time: 0.1663 memory: 6336 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0133 loss_cls: 0.1142 acc: 95.4834 loss_bbox: 0.1597 loss_mask: 0.2360 loss: 0.5349 2022/08/26 16:51:52 - mmengine - INFO - Epoch(train) [49][80/125] lr: 8.0000e-02 eta: 1:43:00 time: 0.4963 data_time: 0.2209 memory: 6649 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0136 loss_cls: 0.1189 acc: 97.0459 loss_bbox: 0.1702 loss_mask: 0.2417 loss: 0.5547 2022/08/26 16:51:55 - mmengine - INFO - Epoch(train) [49][85/125] lr: 8.0000e-02 eta: 1:43:00 time: 0.5698 data_time: 0.2241 memory: 6071 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0146 loss_cls: 0.1190 acc: 96.4844 loss_bbox: 0.1618 loss_mask: 0.2264 loss: 0.5340 2022/08/26 16:51:57 - mmengine - INFO - Epoch(train) [49][90/125] lr: 8.0000e-02 eta: 1:42:56 time: 0.4535 data_time: 0.1135 memory: 6512 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0150 loss_cls: 0.1012 acc: 96.3623 loss_bbox: 0.1361 loss_mask: 0.2337 loss: 0.4972 2022/08/26 16:51:58 - mmengine - INFO - Epoch(train) [49][95/125] lr: 8.0000e-02 eta: 1:42:56 time: 0.3768 data_time: 0.1058 memory: 6431 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0158 loss_cls: 0.1004 acc: 96.1426 loss_bbox: 0.1422 loss_mask: 0.2603 loss: 0.5308 2022/08/26 16:52:00 - mmengine - INFO - Epoch(train) [49][100/125] lr: 8.0000e-02 eta: 1:42:49 time: 0.3509 data_time: 0.0771 memory: 6269 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0140 loss_cls: 0.1067 acc: 96.9238 loss_bbox: 0.1499 loss_mask: 0.2550 loss: 0.5386 2022/08/26 16:52:02 - mmengine - INFO - Epoch(train) [49][105/125] lr: 8.0000e-02 eta: 1:42:49 time: 0.3581 data_time: 0.0915 memory: 6075 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0101 loss_cls: 0.0971 acc: 95.3125 loss_bbox: 0.1275 loss_mask: 0.2434 loss: 0.4883 2022/08/26 16:52:04 - mmengine - INFO - Epoch(train) [49][110/125] lr: 8.0000e-02 eta: 1:42:43 time: 0.3919 data_time: 0.0851 memory: 7369 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0127 loss_cls: 0.1003 acc: 96.4355 loss_bbox: 0.1386 loss_mask: 0.2378 loss: 0.4997 2022/08/26 16:52:06 - mmengine - INFO - Epoch(train) [49][115/125] lr: 8.0000e-02 eta: 1:42:43 time: 0.4080 data_time: 0.0747 memory: 7374 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0184 loss_cls: 0.1130 acc: 97.0459 loss_bbox: 0.1727 loss_mask: 0.2308 loss: 0.5462 2022/08/26 16:52:08 - mmengine - INFO - Epoch(train) [49][120/125] lr: 8.0000e-02 eta: 1:42:38 time: 0.4013 data_time: 0.1039 memory: 6434 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0147 loss_cls: 0.1081 acc: 96.2646 loss_bbox: 0.1596 loss_mask: 0.2210 loss: 0.5133 2022/08/26 16:52:10 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:52:10 - mmengine - INFO - Epoch(train) [49][125/125] lr: 8.0000e-02 eta: 1:42:38 time: 0.4033 data_time: 0.1252 memory: 6473 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0144 loss_cls: 0.1143 acc: 95.4346 loss_bbox: 0.1587 loss_mask: 0.2285 loss: 0.5319 2022/08/26 16:52:14 - mmengine - INFO - Epoch(train) [50][5/125] lr: 8.0000e-02 eta: 1:42:38 time: 0.5365 data_time: 0.2517 memory: 6151 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0138 loss_cls: 0.1125 acc: 96.3867 loss_bbox: 0.1533 loss_mask: 0.2471 loss: 0.5453 2022/08/26 16:52:16 - mmengine - INFO - Epoch(train) [50][10/125] lr: 8.0000e-02 eta: 1:42:28 time: 0.5364 data_time: 0.2327 memory: 6183 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0094 loss_cls: 0.0959 acc: 97.0215 loss_bbox: 0.1264 loss_mask: 0.2356 loss: 0.4796 2022/08/26 16:52:17 - mmengine - INFO - Epoch(train) [50][15/125] lr: 8.0000e-02 eta: 1:42:28 time: 0.3957 data_time: 0.0995 memory: 6223 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0113 loss_cls: 0.0991 acc: 96.2891 loss_bbox: 0.1348 loss_mask: 0.2395 loss: 0.4948 2022/08/26 16:52:19 - mmengine - INFO - Epoch(train) [50][20/125] lr: 8.0000e-02 eta: 1:42:22 time: 0.3548 data_time: 0.0729 memory: 6493 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0132 loss_cls: 0.1090 acc: 96.6064 loss_bbox: 0.1609 loss_mask: 0.2443 loss: 0.5390 2022/08/26 16:52:22 - mmengine - INFO - Epoch(train) [50][25/125] lr: 8.0000e-02 eta: 1:42:22 time: 0.4799 data_time: 0.2008 memory: 6301 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0145 loss_cls: 0.1166 acc: 95.8984 loss_bbox: 0.1701 loss_mask: 0.2418 loss: 0.5562 2022/08/26 16:52:24 - mmengine - INFO - Epoch(train) [50][30/125] lr: 8.0000e-02 eta: 1:42:18 time: 0.4675 data_time: 0.1965 memory: 6291 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0138 loss_cls: 0.1096 acc: 97.1436 loss_bbox: 0.1469 loss_mask: 0.2489 loss: 0.5309 2022/08/26 16:52:26 - mmengine - INFO - Epoch(train) [50][35/125] lr: 8.0000e-02 eta: 1:42:18 time: 0.3795 data_time: 0.1139 memory: 5986 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0124 loss_cls: 0.1017 acc: 98.5107 loss_bbox: 0.1217 loss_mask: 0.2480 loss: 0.4969 2022/08/26 16:52:28 - mmengine - INFO - Epoch(train) [50][40/125] lr: 8.0000e-02 eta: 1:42:13 time: 0.4205 data_time: 0.1494 memory: 6499 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0158 loss_cls: 0.1080 acc: 97.5586 loss_bbox: 0.1408 loss_mask: 0.2399 loss: 0.5180 2022/08/26 16:52:30 - mmengine - INFO - Epoch(train) [50][45/125] lr: 8.0000e-02 eta: 1:42:13 time: 0.3833 data_time: 0.1004 memory: 6168 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0185 loss_cls: 0.1047 acc: 96.4844 loss_bbox: 0.1520 loss_mask: 0.2249 loss: 0.5109 2022/08/26 16:52:32 - mmengine - INFO - Epoch(train) [50][50/125] lr: 8.0000e-02 eta: 1:42:08 time: 0.3897 data_time: 0.0946 memory: 7296 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0174 loss_cls: 0.0955 acc: 96.9727 loss_bbox: 0.1365 loss_mask: 0.2243 loss: 0.4837 2022/08/26 16:52:34 - mmengine - INFO - Epoch(train) [50][55/125] lr: 8.0000e-02 eta: 1:42:08 time: 0.4084 data_time: 0.0798 memory: 6249 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0148 loss_cls: 0.1023 acc: 95.1904 loss_bbox: 0.1492 loss_mask: 0.2370 loss: 0.5153 2022/08/26 16:52:36 - mmengine - INFO - Epoch(train) [50][60/125] lr: 8.0000e-02 eta: 1:42:03 time: 0.4226 data_time: 0.0996 memory: 6275 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0159 loss_cls: 0.1127 acc: 96.6553 loss_bbox: 0.1610 loss_mask: 0.2394 loss: 0.5415 2022/08/26 16:52:38 - mmengine - INFO - Epoch(train) [50][65/125] lr: 8.0000e-02 eta: 1:42:03 time: 0.4359 data_time: 0.1345 memory: 7600 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0160 loss_cls: 0.1127 acc: 96.0693 loss_bbox: 0.1541 loss_mask: 0.2500 loss: 0.5437 2022/08/26 16:52:40 - mmengine - INFO - Epoch(train) [50][70/125] lr: 8.0000e-02 eta: 1:41:57 time: 0.4079 data_time: 0.1184 memory: 6278 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0143 loss_cls: 0.1168 acc: 94.4580 loss_bbox: 0.1549 loss_mask: 0.2562 loss: 0.5556 2022/08/26 16:52:42 - mmengine - INFO - Epoch(train) [50][75/125] lr: 8.0000e-02 eta: 1:41:57 time: 0.3649 data_time: 0.0959 memory: 6373 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0147 loss_cls: 0.1143 acc: 95.2881 loss_bbox: 0.1472 loss_mask: 0.2674 loss: 0.5588 2022/08/26 16:52:44 - mmengine - INFO - Epoch(train) [50][80/125] lr: 8.0000e-02 eta: 1:41:52 time: 0.3954 data_time: 0.1147 memory: 6699 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0169 loss_cls: 0.1237 acc: 93.7256 loss_bbox: 0.1647 loss_mask: 0.2698 loss: 0.5915 2022/08/26 16:52:46 - mmengine - INFO - Epoch(train) [50][85/125] lr: 8.0000e-02 eta: 1:41:52 time: 0.3915 data_time: 0.1055 memory: 6124 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0166 loss_cls: 0.1225 acc: 97.0215 loss_bbox: 0.1607 loss_mask: 0.2395 loss: 0.5569 2022/08/26 16:52:48 - mmengine - INFO - Epoch(train) [50][90/125] lr: 8.0000e-02 eta: 1:41:45 time: 0.3386 data_time: 0.0668 memory: 6274 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0141 loss_cls: 0.1004 acc: 96.6553 loss_bbox: 0.1335 loss_mask: 0.2324 loss: 0.4995 2022/08/26 16:52:49 - mmengine - INFO - Epoch(train) [50][95/125] lr: 8.0000e-02 eta: 1:41:45 time: 0.3508 data_time: 0.0785 memory: 6601 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0140 loss_cls: 0.1071 acc: 96.2402 loss_bbox: 0.1521 loss_mask: 0.2400 loss: 0.5303 2022/08/26 16:52:51 - mmengine - INFO - Epoch(train) [50][100/125] lr: 8.0000e-02 eta: 1:41:39 time: 0.3708 data_time: 0.0929 memory: 6157 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0138 loss_cls: 0.1025 acc: 98.2422 loss_bbox: 0.1416 loss_mask: 0.2365 loss: 0.5076 2022/08/26 16:52:53 - mmengine - INFO - Epoch(train) [50][105/125] lr: 8.0000e-02 eta: 1:41:39 time: 0.3451 data_time: 0.0702 memory: 6268 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0122 loss_cls: 0.0924 acc: 96.6797 loss_bbox: 0.1251 loss_mask: 0.2406 loss: 0.4838 2022/08/26 16:52:56 - mmengine - INFO - Epoch(train) [50][110/125] lr: 8.0000e-02 eta: 1:41:34 time: 0.4297 data_time: 0.0784 memory: 5928 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0115 loss_cls: 0.0908 acc: 96.8750 loss_bbox: 0.1207 loss_mask: 0.2472 loss: 0.4850 2022/08/26 16:52:58 - mmengine - INFO - Epoch(train) [50][115/125] lr: 8.0000e-02 eta: 1:41:34 time: 0.4736 data_time: 0.0956 memory: 6564 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0127 loss_cls: 0.0962 acc: 95.4590 loss_bbox: 0.1269 loss_mask: 0.2466 loss: 0.4971 2022/08/26 16:53:00 - mmengine - INFO - Epoch(train) [50][120/125] lr: 8.0000e-02 eta: 1:41:29 time: 0.4009 data_time: 0.1027 memory: 6601 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0116 loss_cls: 0.1036 acc: 97.1680 loss_bbox: 0.1364 loss_mask: 0.2451 loss: 0.5097 2022/08/26 16:53:01 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:53:01 - mmengine - INFO - Epoch(train) [50][125/125] lr: 8.0000e-02 eta: 1:41:29 time: 0.3533 data_time: 0.0842 memory: 6353 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0128 loss_cls: 0.1020 acc: 97.3389 loss_bbox: 0.1342 loss_mask: 0.2495 loss: 0.5101 2022/08/26 16:53:04 - mmengine - INFO - Epoch(train) [51][5/125] lr: 8.0000e-02 eta: 1:41:29 time: 0.4654 data_time: 0.1937 memory: 6340 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0137 loss_cls: 0.1067 acc: 96.3623 loss_bbox: 0.1402 loss_mask: 0.2418 loss: 0.5149 2022/08/26 16:53:06 - mmengine - INFO - Epoch(train) [51][10/125] lr: 8.0000e-02 eta: 1:41:19 time: 0.5191 data_time: 0.2457 memory: 6483 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0137 loss_cls: 0.1117 acc: 94.4092 loss_bbox: 0.1477 loss_mask: 0.2347 loss: 0.5233 2022/08/26 16:53:08 - mmengine - INFO - Epoch(train) [51][15/125] lr: 8.0000e-02 eta: 1:41:19 time: 0.3733 data_time: 0.1040 memory: 6229 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0175 loss_cls: 0.1053 acc: 96.0449 loss_bbox: 0.1437 loss_mask: 0.2353 loss: 0.5169 2022/08/26 16:53:10 - mmengine - INFO - Epoch(train) [51][20/125] lr: 8.0000e-02 eta: 1:41:13 time: 0.3566 data_time: 0.0887 memory: 6842 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0172 loss_cls: 0.1059 acc: 96.1182 loss_bbox: 0.1487 loss_mask: 0.2226 loss: 0.5064 2022/08/26 16:53:12 - mmengine - INFO - Epoch(train) [51][25/125] lr: 8.0000e-02 eta: 1:41:13 time: 0.3689 data_time: 0.1014 memory: 6226 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0150 loss_cls: 0.1081 acc: 97.7539 loss_bbox: 0.1539 loss_mask: 0.2338 loss: 0.5212 2022/08/26 16:53:14 - mmengine - INFO - Epoch(train) [51][30/125] lr: 8.0000e-02 eta: 1:41:08 time: 0.4148 data_time: 0.0846 memory: 6388 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0164 loss_cls: 0.1060 acc: 96.4111 loss_bbox: 0.1481 loss_mask: 0.2419 loss: 0.5279 2022/08/26 16:53:16 - mmengine - INFO - Epoch(train) [51][35/125] lr: 8.0000e-02 eta: 1:41:08 time: 0.4077 data_time: 0.0731 memory: 6339 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0169 loss_cls: 0.1099 acc: 96.6309 loss_bbox: 0.1457 loss_mask: 0.2310 loss: 0.5218 2022/08/26 16:53:18 - mmengine - INFO - Epoch(train) [51][40/125] lr: 8.0000e-02 eta: 1:41:02 time: 0.3543 data_time: 0.0789 memory: 6356 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0192 loss_cls: 0.1059 acc: 93.9941 loss_bbox: 0.1424 loss_mask: 0.2262 loss: 0.5066 2022/08/26 16:53:19 - mmengine - INFO - Epoch(train) [51][45/125] lr: 8.0000e-02 eta: 1:41:02 time: 0.3540 data_time: 0.0851 memory: 5930 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0168 loss_cls: 0.0905 acc: 97.3145 loss_bbox: 0.1231 loss_mask: 0.2156 loss: 0.4576 2022/08/26 16:53:22 - mmengine - INFO - Epoch(train) [51][50/125] lr: 8.0000e-02 eta: 1:40:56 time: 0.3830 data_time: 0.1145 memory: 6124 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0144 loss_cls: 0.0838 acc: 97.0947 loss_bbox: 0.1110 loss_mask: 0.2292 loss: 0.4504 2022/08/26 16:53:24 - mmengine - INFO - Epoch(train) [51][55/125] lr: 8.0000e-02 eta: 1:40:56 time: 0.4396 data_time: 0.1604 memory: 6330 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0147 loss_cls: 0.0958 acc: 96.4355 loss_bbox: 0.1254 loss_mask: 0.2529 loss: 0.5031 2022/08/26 16:53:26 - mmengine - INFO - Epoch(train) [51][60/125] lr: 8.0000e-02 eta: 1:40:51 time: 0.4048 data_time: 0.1172 memory: 6561 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0170 loss_cls: 0.1096 acc: 95.1172 loss_bbox: 0.1439 loss_mask: 0.2544 loss: 0.5417 2022/08/26 16:53:29 - mmengine - INFO - Epoch(train) [51][65/125] lr: 8.0000e-02 eta: 1:40:51 time: 0.4925 data_time: 0.1834 memory: 7429 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0196 loss_cls: 0.1177 acc: 94.7510 loss_bbox: 0.1752 loss_mask: 0.2486 loss: 0.5733 2022/08/26 16:53:31 - mmengine - INFO - Epoch(train) [51][70/125] lr: 8.0000e-02 eta: 1:40:48 time: 0.5405 data_time: 0.2377 memory: 6492 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0154 loss_cls: 0.1157 acc: 94.8975 loss_bbox: 0.1781 loss_mask: 0.2394 loss: 0.5587 2022/08/26 16:53:34 - mmengine - INFO - Epoch(train) [51][75/125] lr: 8.0000e-02 eta: 1:40:48 time: 0.4956 data_time: 0.2166 memory: 6480 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0108 loss_cls: 0.1063 acc: 97.5098 loss_bbox: 0.1476 loss_mask: 0.2374 loss: 0.5122 2022/08/26 16:53:35 - mmengine - INFO - Epoch(train) [51][80/125] lr: 8.0000e-02 eta: 1:40:44 time: 0.4383 data_time: 0.1629 memory: 6508 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0122 loss_cls: 0.1024 acc: 96.2891 loss_bbox: 0.1330 loss_mask: 0.2407 loss: 0.4993 2022/08/26 16:53:37 - mmengine - INFO - Epoch(train) [51][85/125] lr: 8.0000e-02 eta: 1:40:44 time: 0.3404 data_time: 0.0694 memory: 6754 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0164 loss_cls: 0.1098 acc: 95.1904 loss_bbox: 0.1452 loss_mask: 0.2463 loss: 0.5338 2022/08/26 16:53:39 - mmengine - INFO - Epoch(train) [51][90/125] lr: 8.0000e-02 eta: 1:40:37 time: 0.3258 data_time: 0.0531 memory: 6243 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0156 loss_cls: 0.1052 acc: 98.4863 loss_bbox: 0.1442 loss_mask: 0.2472 loss: 0.5276 2022/08/26 16:53:41 - mmengine - INFO - Epoch(train) [51][95/125] lr: 8.0000e-02 eta: 1:40:37 time: 0.3816 data_time: 0.0841 memory: 6009 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0134 loss_cls: 0.0913 acc: 96.2646 loss_bbox: 0.1241 loss_mask: 0.2438 loss: 0.4866 2022/08/26 16:53:42 - mmengine - INFO - Epoch(train) [51][100/125] lr: 8.0000e-02 eta: 1:40:31 time: 0.3842 data_time: 0.0854 memory: 6048 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0121 loss_cls: 0.0921 acc: 96.5088 loss_bbox: 0.1184 loss_mask: 0.2470 loss: 0.4865 2022/08/26 16:53:45 - mmengine - INFO - Epoch(train) [51][105/125] lr: 8.0000e-02 eta: 1:40:31 time: 0.3995 data_time: 0.1106 memory: 6440 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0145 loss_cls: 0.1060 acc: 95.3857 loss_bbox: 0.1405 loss_mask: 0.2424 loss: 0.5180 2022/08/26 16:53:47 - mmengine - INFO - Epoch(train) [51][110/125] lr: 8.0000e-02 eta: 1:40:26 time: 0.4243 data_time: 0.1371 memory: 6542 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0216 loss_cls: 0.1124 acc: 98.1445 loss_bbox: 0.1558 loss_mask: 0.2394 loss: 0.5425 2022/08/26 16:53:48 - mmengine - INFO - Epoch(train) [51][115/125] lr: 8.0000e-02 eta: 1:40:26 time: 0.3591 data_time: 0.0915 memory: 5956 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0181 loss_cls: 0.1031 acc: 96.0449 loss_bbox: 0.1418 loss_mask: 0.2443 loss: 0.5185 2022/08/26 16:53:50 - mmengine - INFO - Epoch(train) [51][120/125] lr: 8.0000e-02 eta: 1:40:20 time: 0.3526 data_time: 0.0872 memory: 6344 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0120 loss_cls: 0.1046 acc: 96.2402 loss_bbox: 0.1314 loss_mask: 0.2558 loss: 0.5137 2022/08/26 16:53:52 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:53:52 - mmengine - INFO - Epoch(train) [51][125/125] lr: 8.0000e-02 eta: 1:40:20 time: 0.3389 data_time: 0.0716 memory: 6337 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0161 loss_cls: 0.1153 acc: 95.0928 loss_bbox: 0.1413 loss_mask: 0.2602 loss: 0.5463 2022/08/26 16:53:56 - mmengine - INFO - Epoch(train) [52][5/125] lr: 8.0000e-02 eta: 1:40:20 time: 0.5803 data_time: 0.3028 memory: 6386 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0176 loss_cls: 0.1152 acc: 95.8252 loss_bbox: 0.1463 loss_mask: 0.2432 loss: 0.5375 2022/08/26 16:53:58 - mmengine - INFO - Epoch(train) [52][10/125] lr: 8.0000e-02 eta: 1:40:12 time: 0.5989 data_time: 0.3158 memory: 6639 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0160 loss_cls: 0.1145 acc: 95.4834 loss_bbox: 0.1432 loss_mask: 0.2368 loss: 0.5269 2022/08/26 16:54:00 - mmengine - INFO - Epoch(train) [52][15/125] lr: 8.0000e-02 eta: 1:40:12 time: 0.3584 data_time: 0.0778 memory: 6591 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0171 loss_cls: 0.1152 acc: 92.7002 loss_bbox: 0.1542 loss_mask: 0.2245 loss: 0.5256 2022/08/26 16:54:02 - mmengine - INFO - Epoch(train) [52][20/125] lr: 8.0000e-02 eta: 1:40:07 time: 0.4267 data_time: 0.0709 memory: 6268 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0153 loss_cls: 0.1074 acc: 96.3379 loss_bbox: 0.1518 loss_mask: 0.2127 loss: 0.4969 2022/08/26 16:54:04 - mmengine - INFO - Epoch(train) [52][25/125] lr: 8.0000e-02 eta: 1:40:07 time: 0.4609 data_time: 0.0602 memory: 6331 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0139 loss_cls: 0.1017 acc: 95.8496 loss_bbox: 0.1367 loss_mask: 0.2210 loss: 0.4833 2022/08/26 16:54:06 - mmengine - INFO - Epoch(train) [52][30/125] lr: 8.0000e-02 eta: 1:40:02 time: 0.4053 data_time: 0.0786 memory: 6307 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0138 loss_cls: 0.0961 acc: 96.9727 loss_bbox: 0.1254 loss_mask: 0.2189 loss: 0.4659 2022/08/26 16:54:09 - mmengine - INFO - Epoch(train) [52][35/125] lr: 8.0000e-02 eta: 1:40:02 time: 0.4163 data_time: 0.1409 memory: 6416 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0164 loss_cls: 0.1008 acc: 96.2646 loss_bbox: 0.1397 loss_mask: 0.2185 loss: 0.4897 2022/08/26 16:54:10 - mmengine - INFO - Epoch(train) [52][40/125] lr: 8.0000e-02 eta: 1:39:57 time: 0.3893 data_time: 0.1190 memory: 5960 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0157 loss_cls: 0.1050 acc: 96.9482 loss_bbox: 0.1423 loss_mask: 0.2334 loss: 0.5118 2022/08/26 16:54:12 - mmengine - INFO - Epoch(train) [52][45/125] lr: 8.0000e-02 eta: 1:39:57 time: 0.3237 data_time: 0.0600 memory: 6304 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0109 loss_cls: 0.1000 acc: 95.3857 loss_bbox: 0.1283 loss_mask: 0.2411 loss: 0.4934 2022/08/26 16:54:14 - mmengine - INFO - Epoch(train) [52][50/125] lr: 8.0000e-02 eta: 1:39:51 time: 0.3914 data_time: 0.0994 memory: 6108 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0119 loss_cls: 0.0977 acc: 94.7510 loss_bbox: 0.1295 loss_mask: 0.2406 loss: 0.4929 2022/08/26 16:54:18 - mmengine - INFO - Epoch(train) [52][55/125] lr: 8.0000e-02 eta: 1:39:51 time: 0.5796 data_time: 0.2571 memory: 6177 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0110 loss_cls: 0.0980 acc: 96.4600 loss_bbox: 0.1277 loss_mask: 0.2470 loss: 0.4947 2022/08/26 16:54:19 - mmengine - INFO - Epoch(train) [52][60/125] lr: 8.0000e-02 eta: 1:39:48 time: 0.5054 data_time: 0.2067 memory: 6200 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0144 loss_cls: 0.1063 acc: 95.4102 loss_bbox: 0.1368 loss_mask: 0.2395 loss: 0.5068 2022/08/26 16:54:21 - mmengine - INFO - Epoch(train) [52][65/125] lr: 8.0000e-02 eta: 1:39:48 time: 0.3301 data_time: 0.0561 memory: 6068 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0160 loss_cls: 0.1020 acc: 94.4336 loss_bbox: 0.1323 loss_mask: 0.2355 loss: 0.5000 2022/08/26 16:54:22 - mmengine - INFO - Epoch(train) [52][70/125] lr: 8.0000e-02 eta: 1:39:41 time: 0.3323 data_time: 0.0640 memory: 5995 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0121 loss_cls: 0.0864 acc: 96.8262 loss_bbox: 0.1169 loss_mask: 0.2333 loss: 0.4619 2022/08/26 16:54:24 - mmengine - INFO - Epoch(train) [52][75/125] lr: 8.0000e-02 eta: 1:39:41 time: 0.3349 data_time: 0.0683 memory: 6225 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0127 loss_cls: 0.0800 acc: 96.0938 loss_bbox: 0.1186 loss_mask: 0.2321 loss: 0.4539 2022/08/26 16:54:26 - mmengine - INFO - Epoch(train) [52][80/125] lr: 8.0000e-02 eta: 1:39:36 time: 0.3766 data_time: 0.0935 memory: 6415 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0143 loss_cls: 0.0944 acc: 94.6777 loss_bbox: 0.1423 loss_mask: 0.2427 loss: 0.5040 2022/08/26 16:54:28 - mmengine - INFO - Epoch(train) [52][85/125] lr: 8.0000e-02 eta: 1:39:36 time: 0.3859 data_time: 0.0963 memory: 6291 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0153 loss_cls: 0.0999 acc: 95.9961 loss_bbox: 0.1471 loss_mask: 0.2374 loss: 0.5097 2022/08/26 16:54:30 - mmengine - INFO - Epoch(train) [52][90/125] lr: 8.0000e-02 eta: 1:39:31 time: 0.4217 data_time: 0.1028 memory: 7419 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0230 loss_cls: 0.1058 acc: 95.6787 loss_bbox: 0.1524 loss_mask: 0.2357 loss: 0.5327 2022/08/26 16:54:32 - mmengine - INFO - Epoch(train) [52][95/125] lr: 8.0000e-02 eta: 1:39:31 time: 0.4118 data_time: 0.1015 memory: 6453 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0200 loss_cls: 0.1053 acc: 98.2178 loss_bbox: 0.1461 loss_mask: 0.2503 loss: 0.5373 2022/08/26 16:54:35 - mmengine - INFO - Epoch(train) [52][100/125] lr: 8.0000e-02 eta: 1:39:26 time: 0.4089 data_time: 0.1142 memory: 6496 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0151 loss_cls: 0.1126 acc: 94.2383 loss_bbox: 0.1566 loss_mask: 0.2441 loss: 0.5419 2022/08/26 16:54:36 - mmengine - INFO - Epoch(train) [52][105/125] lr: 8.0000e-02 eta: 1:39:26 time: 0.3929 data_time: 0.0980 memory: 6049 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0167 loss_cls: 0.1112 acc: 97.0215 loss_bbox: 0.1546 loss_mask: 0.2446 loss: 0.5414 2022/08/26 16:54:38 - mmengine - INFO - Epoch(train) [52][110/125] lr: 8.0000e-02 eta: 1:39:19 time: 0.3300 data_time: 0.0631 memory: 6385 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0156 loss_cls: 0.1033 acc: 94.7754 loss_bbox: 0.1312 loss_mask: 0.2485 loss: 0.5117 2022/08/26 16:54:39 - mmengine - INFO - Epoch(train) [52][115/125] lr: 8.0000e-02 eta: 1:39:19 time: 0.3329 data_time: 0.0638 memory: 6402 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0174 loss_cls: 0.1146 acc: 97.1924 loss_bbox: 0.1473 loss_mask: 0.2443 loss: 0.5386 2022/08/26 16:54:41 - mmengine - INFO - Epoch(train) [52][120/125] lr: 8.0000e-02 eta: 1:39:13 time: 0.3512 data_time: 0.0845 memory: 6425 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0154 loss_cls: 0.0957 acc: 98.4375 loss_bbox: 0.1306 loss_mask: 0.2516 loss: 0.5066 2022/08/26 16:54:43 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:54:43 - mmengine - INFO - Epoch(train) [52][125/125] lr: 8.0000e-02 eta: 1:39:13 time: 0.3692 data_time: 0.0940 memory: 6277 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0141 loss_cls: 0.1021 acc: 95.5078 loss_bbox: 0.1354 loss_mask: 0.2605 loss: 0.5254 2022/08/26 16:54:47 - mmengine - INFO - Epoch(train) [53][5/125] lr: 8.0000e-02 eta: 1:39:13 time: 0.5471 data_time: 0.2463 memory: 6343 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0142 loss_cls: 0.1056 acc: 97.7539 loss_bbox: 0.1434 loss_mask: 0.2425 loss: 0.5175 2022/08/26 16:54:49 - mmengine - INFO - Epoch(train) [53][10/125] lr: 8.0000e-02 eta: 1:39:04 time: 0.5327 data_time: 0.2347 memory: 6147 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0121 loss_cls: 0.0949 acc: 95.9961 loss_bbox: 0.1375 loss_mask: 0.2264 loss: 0.4792 2022/08/26 16:54:51 - mmengine - INFO - Epoch(train) [53][15/125] lr: 8.0000e-02 eta: 1:39:04 time: 0.3594 data_time: 0.0823 memory: 6311 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0147 loss_cls: 0.1133 acc: 96.7041 loss_bbox: 0.1565 loss_mask: 0.2219 loss: 0.5180 2022/08/26 16:54:54 - mmengine - INFO - Epoch(train) [53][20/125] lr: 8.0000e-02 eta: 1:39:01 time: 0.5188 data_time: 0.2428 memory: 6316 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0155 loss_cls: 0.1113 acc: 96.8262 loss_bbox: 0.1487 loss_mask: 0.2150 loss: 0.5046 2022/08/26 16:54:56 - mmengine - INFO - Epoch(train) [53][25/125] lr: 8.0000e-02 eta: 1:39:01 time: 0.5713 data_time: 0.2757 memory: 6232 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0170 loss_cls: 0.1055 acc: 96.5576 loss_bbox: 0.1448 loss_mask: 0.2223 loss: 0.5040 2022/08/26 16:54:58 - mmengine - INFO - Epoch(train) [53][30/125] lr: 8.0000e-02 eta: 1:38:56 time: 0.4456 data_time: 0.1534 memory: 6601 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0191 loss_cls: 0.1136 acc: 96.9971 loss_bbox: 0.1554 loss_mask: 0.2347 loss: 0.5354 2022/08/26 16:55:01 - mmengine - INFO - Epoch(train) [53][35/125] lr: 8.0000e-02 eta: 1:38:56 time: 0.4411 data_time: 0.1665 memory: 6482 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0154 loss_cls: 0.1172 acc: 96.6553 loss_bbox: 0.1618 loss_mask: 0.2479 loss: 0.5536 2022/08/26 16:55:03 - mmengine - INFO - Epoch(train) [53][40/125] lr: 8.0000e-02 eta: 1:38:52 time: 0.4390 data_time: 0.1616 memory: 6232 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0126 loss_cls: 0.1086 acc: 97.5586 loss_bbox: 0.1485 loss_mask: 0.2646 loss: 0.5451 2022/08/26 16:55:06 - mmengine - INFO - Epoch(train) [53][45/125] lr: 8.0000e-02 eta: 1:38:52 time: 0.5595 data_time: 0.2404 memory: 6779 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0152 loss_cls: 0.1079 acc: 93.5547 loss_bbox: 0.1415 loss_mask: 0.2523 loss: 0.5294 2022/08/26 16:55:08 - mmengine - INFO - Epoch(train) [53][50/125] lr: 8.0000e-02 eta: 1:38:50 time: 0.5415 data_time: 0.2230 memory: 6347 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0156 loss_cls: 0.1084 acc: 95.5566 loss_bbox: 0.1442 loss_mask: 0.2302 loss: 0.5110 2022/08/26 16:55:10 - mmengine - INFO - Epoch(train) [53][55/125] lr: 8.0000e-02 eta: 1:38:50 time: 0.3353 data_time: 0.0608 memory: 6239 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0119 loss_cls: 0.1060 acc: 95.1660 loss_bbox: 0.1387 loss_mask: 0.2379 loss: 0.5063 2022/08/26 16:55:11 - mmengine - INFO - Epoch(train) [53][60/125] lr: 8.0000e-02 eta: 1:38:43 time: 0.3144 data_time: 0.0369 memory: 6307 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0122 loss_cls: 0.1129 acc: 97.4854 loss_bbox: 0.1399 loss_mask: 0.2411 loss: 0.5178 2022/08/26 16:55:13 - mmengine - INFO - Epoch(train) [53][65/125] lr: 8.0000e-02 eta: 1:38:43 time: 0.3374 data_time: 0.0606 memory: 5980 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0112 loss_cls: 0.0998 acc: 97.0459 loss_bbox: 0.1244 loss_mask: 0.2462 loss: 0.4915 2022/08/26 16:55:15 - mmengine - INFO - Epoch(train) [53][70/125] lr: 8.0000e-02 eta: 1:38:37 time: 0.3893 data_time: 0.0867 memory: 6301 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0101 loss_cls: 0.0896 acc: 97.5342 loss_bbox: 0.1205 loss_mask: 0.2407 loss: 0.4701 2022/08/26 16:55:17 - mmengine - INFO - Epoch(train) [53][75/125] lr: 8.0000e-02 eta: 1:38:37 time: 0.3615 data_time: 0.0599 memory: 6522 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0137 loss_cls: 0.0987 acc: 96.7773 loss_bbox: 0.1346 loss_mask: 0.2450 loss: 0.5044 2022/08/26 16:55:18 - mmengine - INFO - Epoch(train) [53][80/125] lr: 8.0000e-02 eta: 1:38:30 time: 0.3276 data_time: 0.0608 memory: 6226 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0133 loss_cls: 0.0961 acc: 97.2900 loss_bbox: 0.1304 loss_mask: 0.2571 loss: 0.5088 2022/08/26 16:55:20 - mmengine - INFO - Epoch(train) [53][85/125] lr: 8.0000e-02 eta: 1:38:30 time: 0.3673 data_time: 0.0960 memory: 6415 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0132 loss_cls: 0.0910 acc: 95.6787 loss_bbox: 0.1230 loss_mask: 0.2524 loss: 0.4881 2022/08/26 16:55:22 - mmengine - INFO - Epoch(train) [53][90/125] lr: 8.0000e-02 eta: 1:38:25 time: 0.3985 data_time: 0.1255 memory: 6206 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0136 loss_cls: 0.0953 acc: 96.6064 loss_bbox: 0.1248 loss_mask: 0.2705 loss: 0.5173 2022/08/26 16:55:25 - mmengine - INFO - Epoch(train) [53][95/125] lr: 8.0000e-02 eta: 1:38:25 time: 0.4957 data_time: 0.1952 memory: 6487 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0140 loss_cls: 0.1018 acc: 96.1670 loss_bbox: 0.1405 loss_mask: 0.2597 loss: 0.5316 2022/08/26 16:55:27 - mmengine - INFO - Epoch(train) [53][100/125] lr: 8.0000e-02 eta: 1:38:21 time: 0.4744 data_time: 0.1538 memory: 7134 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0148 loss_cls: 0.1125 acc: 97.4365 loss_bbox: 0.1606 loss_mask: 0.2461 loss: 0.5480 2022/08/26 16:55:29 - mmengine - INFO - Epoch(train) [53][105/125] lr: 8.0000e-02 eta: 1:38:21 time: 0.3499 data_time: 0.0628 memory: 5946 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0125 loss_cls: 0.1008 acc: 96.4600 loss_bbox: 0.1372 loss_mask: 0.2603 loss: 0.5237 2022/08/26 16:55:32 - mmengine - INFO - Epoch(train) [53][110/125] lr: 8.0000e-02 eta: 1:38:18 time: 0.4799 data_time: 0.1996 memory: 6253 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0144 loss_cls: 0.0968 acc: 94.5557 loss_bbox: 0.1305 loss_mask: 0.2511 loss: 0.5058 2022/08/26 16:55:34 - mmengine - INFO - Epoch(train) [53][115/125] lr: 8.0000e-02 eta: 1:38:18 time: 0.5500 data_time: 0.2643 memory: 6226 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0134 loss_cls: 0.1016 acc: 97.2900 loss_bbox: 0.1453 loss_mask: 0.2272 loss: 0.4993 2022/08/26 16:55:36 - mmengine - INFO - Epoch(train) [53][120/125] lr: 8.0000e-02 eta: 1:38:13 time: 0.4040 data_time: 0.1289 memory: 6392 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0122 loss_cls: 0.1009 acc: 97.5830 loss_bbox: 0.1415 loss_mask: 0.2394 loss: 0.5075 2022/08/26 16:55:38 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:55:38 - mmengine - INFO - Epoch(train) [53][125/125] lr: 8.0000e-02 eta: 1:38:13 time: 0.3505 data_time: 0.0796 memory: 6249 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0167 loss_cls: 0.1080 acc: 94.7510 loss_bbox: 0.1409 loss_mask: 0.2700 loss: 0.5550 2022/08/26 16:55:42 - mmengine - INFO - Epoch(train) [54][5/125] lr: 8.0000e-02 eta: 1:38:13 time: 0.5688 data_time: 0.2060 memory: 5937 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0177 loss_cls: 0.1036 acc: 97.2656 loss_bbox: 0.1330 loss_mask: 0.2619 loss: 0.5326 2022/08/26 16:55:44 - mmengine - INFO - Epoch(train) [54][10/125] lr: 8.0000e-02 eta: 1:38:04 time: 0.5585 data_time: 0.1911 memory: 6243 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0178 loss_cls: 0.1073 acc: 94.3604 loss_bbox: 0.1399 loss_mask: 0.2586 loss: 0.5368 2022/08/26 16:55:45 - mmengine - INFO - Epoch(train) [54][15/125] lr: 8.0000e-02 eta: 1:38:04 time: 0.3422 data_time: 0.0670 memory: 6199 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0215 loss_cls: 0.1043 acc: 97.2168 loss_bbox: 0.1427 loss_mask: 0.2281 loss: 0.5108 2022/08/26 16:55:47 - mmengine - INFO - Epoch(train) [54][20/125] lr: 8.0000e-02 eta: 1:37:58 time: 0.3804 data_time: 0.1067 memory: 6075 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0166 loss_cls: 0.0926 acc: 96.6797 loss_bbox: 0.1292 loss_mask: 0.2120 loss: 0.4603 2022/08/26 16:55:49 - mmengine - INFO - Epoch(train) [54][25/125] lr: 8.0000e-02 eta: 1:37:58 time: 0.4080 data_time: 0.1348 memory: 6272 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0124 loss_cls: 0.0959 acc: 97.0947 loss_bbox: 0.1337 loss_mask: 0.2286 loss: 0.4798 2022/08/26 16:55:51 - mmengine - INFO - Epoch(train) [54][30/125] lr: 8.0000e-02 eta: 1:37:53 time: 0.3704 data_time: 0.0977 memory: 6190 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0125 loss_cls: 0.1026 acc: 96.6309 loss_bbox: 0.1410 loss_mask: 0.2334 loss: 0.4998 2022/08/26 16:55:53 - mmengine - INFO - Epoch(train) [54][35/125] lr: 8.0000e-02 eta: 1:37:53 time: 0.3413 data_time: 0.0671 memory: 6196 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0119 loss_cls: 0.1023 acc: 97.8760 loss_bbox: 0.1383 loss_mask: 0.2232 loss: 0.4857 2022/08/26 16:55:56 - mmengine - INFO - Epoch(train) [54][40/125] lr: 8.0000e-02 eta: 1:37:49 time: 0.4624 data_time: 0.0810 memory: 7933 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0153 loss_cls: 0.1030 acc: 95.6787 loss_bbox: 0.1453 loss_mask: 0.2305 loss: 0.5069 2022/08/26 16:55:58 - mmengine - INFO - Epoch(train) [54][45/125] lr: 8.0000e-02 eta: 1:37:49 time: 0.5271 data_time: 0.1277 memory: 7264 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0136 loss_cls: 0.1065 acc: 96.1670 loss_bbox: 0.1517 loss_mask: 0.2328 loss: 0.5165 2022/08/26 16:56:00 - mmengine - INFO - Epoch(train) [54][50/125] lr: 8.0000e-02 eta: 1:37:44 time: 0.4008 data_time: 0.1136 memory: 6574 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0114 loss_cls: 0.1077 acc: 96.9727 loss_bbox: 0.1509 loss_mask: 0.2363 loss: 0.5178 2022/08/26 16:56:01 - mmengine - INFO - Epoch(train) [54][55/125] lr: 8.0000e-02 eta: 1:37:44 time: 0.3331 data_time: 0.0677 memory: 6052 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0114 loss_cls: 0.1027 acc: 96.2891 loss_bbox: 0.1391 loss_mask: 0.2437 loss: 0.5089 2022/08/26 16:56:03 - mmengine - INFO - Epoch(train) [54][60/125] lr: 8.0000e-02 eta: 1:37:37 time: 0.3496 data_time: 0.0806 memory: 6431 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0112 loss_cls: 0.1016 acc: 94.4580 loss_bbox: 0.1383 loss_mask: 0.2411 loss: 0.5044 2022/08/26 16:56:05 - mmengine - INFO - Epoch(train) [54][65/125] lr: 8.0000e-02 eta: 1:37:37 time: 0.3691 data_time: 0.0743 memory: 7360 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0136 loss_cls: 0.1129 acc: 95.7520 loss_bbox: 0.1616 loss_mask: 0.2517 loss: 0.5549 2022/08/26 16:56:07 - mmengine - INFO - Epoch(train) [54][70/125] lr: 8.0000e-02 eta: 1:37:31 time: 0.3602 data_time: 0.0652 memory: 6252 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0145 loss_cls: 0.1153 acc: 94.5801 loss_bbox: 0.1596 loss_mask: 0.2542 loss: 0.5566 2022/08/26 16:56:09 - mmengine - INFO - Epoch(train) [54][75/125] lr: 8.0000e-02 eta: 1:37:31 time: 0.3935 data_time: 0.1035 memory: 7272 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0164 loss_cls: 0.1182 acc: 94.4092 loss_bbox: 0.1606 loss_mask: 0.2563 loss: 0.5640 2022/08/26 16:56:11 - mmengine - INFO - Epoch(train) [54][80/125] lr: 8.0000e-02 eta: 1:37:26 time: 0.3859 data_time: 0.0923 memory: 6480 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0160 loss_cls: 0.1149 acc: 95.6787 loss_bbox: 0.1597 loss_mask: 0.2421 loss: 0.5467 2022/08/26 16:56:13 - mmengine - INFO - Epoch(train) [54][85/125] lr: 8.0000e-02 eta: 1:37:26 time: 0.4360 data_time: 0.1520 memory: 6461 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0135 loss_cls: 0.1006 acc: 96.4355 loss_bbox: 0.1315 loss_mask: 0.2408 loss: 0.5020 2022/08/26 16:56:15 - mmengine - INFO - Epoch(train) [54][90/125] lr: 8.0000e-02 eta: 1:37:22 time: 0.4527 data_time: 0.1415 memory: 5842 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0110 loss_cls: 0.0834 acc: 96.7285 loss_bbox: 0.1073 loss_mask: 0.2597 loss: 0.4758 2022/08/26 16:56:17 - mmengine - INFO - Epoch(train) [54][95/125] lr: 8.0000e-02 eta: 1:37:22 time: 0.3516 data_time: 0.0475 memory: 6389 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0148 loss_cls: 0.0932 acc: 95.4834 loss_bbox: 0.1331 loss_mask: 0.2615 loss: 0.5164 2022/08/26 16:56:19 - mmengine - INFO - Epoch(train) [54][100/125] lr: 8.0000e-02 eta: 1:37:16 time: 0.3835 data_time: 0.1109 memory: 6415 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0187 loss_cls: 0.1162 acc: 94.0186 loss_bbox: 0.1591 loss_mask: 0.2583 loss: 0.5715 2022/08/26 16:56:21 - mmengine - INFO - Epoch(train) [54][105/125] lr: 8.0000e-02 eta: 1:37:16 time: 0.4139 data_time: 0.1409 memory: 6725 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0160 loss_cls: 0.1096 acc: 92.5049 loss_bbox: 0.1389 loss_mask: 0.2512 loss: 0.5357 2022/08/26 16:56:23 - mmengine - INFO - Epoch(train) [54][110/125] lr: 8.0000e-02 eta: 1:37:11 time: 0.4120 data_time: 0.0935 memory: 7517 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0165 loss_cls: 0.1100 acc: 94.1162 loss_bbox: 0.1562 loss_mask: 0.2453 loss: 0.5443 2022/08/26 16:56:25 - mmengine - INFO - Epoch(train) [54][115/125] lr: 8.0000e-02 eta: 1:37:11 time: 0.3913 data_time: 0.0711 memory: 6480 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0151 loss_cls: 0.1117 acc: 96.1182 loss_bbox: 0.1628 loss_mask: 0.2514 loss: 0.5554 2022/08/26 16:56:27 - mmengine - INFO - Epoch(train) [54][120/125] lr: 8.0000e-02 eta: 1:37:06 time: 0.3772 data_time: 0.0762 memory: 7596 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0137 loss_cls: 0.1183 acc: 97.1680 loss_bbox: 0.1539 loss_mask: 0.2418 loss: 0.5431 2022/08/26 16:56:29 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:56:29 - mmengine - INFO - Epoch(train) [54][125/125] lr: 8.0000e-02 eta: 1:37:06 time: 0.3920 data_time: 0.0949 memory: 6210 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0154 loss_cls: 0.1294 acc: 94.9951 loss_bbox: 0.1663 loss_mask: 0.2320 loss: 0.5616 2022/08/26 16:56:33 - mmengine - INFO - Epoch(train) [55][5/125] lr: 8.0000e-02 eta: 1:37:06 time: 0.5521 data_time: 0.2799 memory: 6313 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0144 loss_cls: 0.1189 acc: 94.5557 loss_bbox: 0.1522 loss_mask: 0.2302 loss: 0.5337 2022/08/26 16:56:34 - mmengine - INFO - Epoch(train) [55][10/125] lr: 8.0000e-02 eta: 1:36:57 time: 0.5445 data_time: 0.2565 memory: 5937 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0139 loss_cls: 0.1075 acc: 95.7275 loss_bbox: 0.1352 loss_mask: 0.2461 loss: 0.5189 2022/08/26 16:56:36 - mmengine - INFO - Epoch(train) [55][15/125] lr: 8.0000e-02 eta: 1:36:57 time: 0.3490 data_time: 0.0613 memory: 5982 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0123 loss_cls: 0.1015 acc: 96.6064 loss_bbox: 0.1252 loss_mask: 0.2573 loss: 0.5110 2022/08/26 16:56:38 - mmengine - INFO - Epoch(train) [55][20/125] lr: 8.0000e-02 eta: 1:36:51 time: 0.3492 data_time: 0.0774 memory: 6215 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0117 loss_cls: 0.0997 acc: 96.1914 loss_bbox: 0.1254 loss_mask: 0.2542 loss: 0.5028 2022/08/26 16:56:40 - mmengine - INFO - Epoch(train) [55][25/125] lr: 8.0000e-02 eta: 1:36:51 time: 0.4026 data_time: 0.1268 memory: 6571 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0167 loss_cls: 0.1164 acc: 93.6768 loss_bbox: 0.1611 loss_mask: 0.2452 loss: 0.5534 2022/08/26 16:56:42 - mmengine - INFO - Epoch(train) [55][30/125] lr: 8.0000e-02 eta: 1:36:45 time: 0.3972 data_time: 0.1239 memory: 5954 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0151 loss_cls: 0.1087 acc: 96.4355 loss_bbox: 0.1529 loss_mask: 0.2355 loss: 0.5253 2022/08/26 16:56:44 - mmengine - INFO - Epoch(train) [55][35/125] lr: 8.0000e-02 eta: 1:36:45 time: 0.4074 data_time: 0.0951 memory: 6220 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0093 loss_cls: 0.0931 acc: 95.9229 loss_bbox: 0.1278 loss_mask: 0.2332 loss: 0.4720 2022/08/26 16:56:46 - mmengine - INFO - Epoch(train) [55][40/125] lr: 8.0000e-02 eta: 1:36:40 time: 0.4023 data_time: 0.0719 memory: 6103 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0115 loss_cls: 0.1025 acc: 97.4854 loss_bbox: 0.1386 loss_mask: 0.2375 loss: 0.5003 2022/08/26 16:56:48 - mmengine - INFO - Epoch(train) [55][45/125] lr: 8.0000e-02 eta: 1:36:40 time: 0.3700 data_time: 0.0773 memory: 6911 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0164 loss_cls: 0.1108 acc: 96.1426 loss_bbox: 0.1591 loss_mask: 0.2308 loss: 0.5297 2022/08/26 16:56:50 - mmengine - INFO - Epoch(train) [55][50/125] lr: 8.0000e-02 eta: 1:36:35 time: 0.3823 data_time: 0.1023 memory: 6698 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0190 loss_cls: 0.1154 acc: 97.4365 loss_bbox: 0.1709 loss_mask: 0.2253 loss: 0.5441 2022/08/26 16:56:52 - mmengine - INFO - Epoch(train) [55][55/125] lr: 8.0000e-02 eta: 1:36:35 time: 0.3785 data_time: 0.1030 memory: 6160 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0165 loss_cls: 0.1188 acc: 94.9951 loss_bbox: 0.1677 loss_mask: 0.2680 loss: 0.5851 2022/08/26 16:56:54 - mmengine - INFO - Epoch(train) [55][60/125] lr: 8.0000e-02 eta: 1:36:29 time: 0.3753 data_time: 0.1054 memory: 6117 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0144 loss_cls: 0.1151 acc: 97.6318 loss_bbox: 0.1624 loss_mask: 0.2981 loss: 0.6025 2022/08/26 16:56:55 - mmengine - INFO - Epoch(train) [55][65/125] lr: 8.0000e-02 eta: 1:36:29 time: 0.3573 data_time: 0.0894 memory: 6186 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0172 loss_cls: 0.1085 acc: 95.6787 loss_bbox: 0.1468 loss_mask: 0.2650 loss: 0.5530 2022/08/26 16:56:57 - mmengine - INFO - Epoch(train) [55][70/125] lr: 8.0000e-02 eta: 1:36:23 time: 0.3576 data_time: 0.0858 memory: 6360 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0198 loss_cls: 0.1074 acc: 96.4355 loss_bbox: 0.1419 loss_mask: 0.2357 loss: 0.5212 2022/08/26 16:56:59 - mmengine - INFO - Epoch(train) [55][75/125] lr: 8.0000e-02 eta: 1:36:23 time: 0.3663 data_time: 0.0678 memory: 7512 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0198 loss_cls: 0.1116 acc: 93.7012 loss_bbox: 0.1600 loss_mask: 0.2344 loss: 0.5367 2022/08/26 16:57:01 - mmengine - INFO - Epoch(train) [55][80/125] lr: 8.0000e-02 eta: 1:36:18 time: 0.3803 data_time: 0.0599 memory: 6154 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0156 loss_cls: 0.1111 acc: 96.6553 loss_bbox: 0.1603 loss_mask: 0.2409 loss: 0.5402 2022/08/26 16:57:03 - mmengine - INFO - Epoch(train) [55][85/125] lr: 8.0000e-02 eta: 1:36:18 time: 0.3939 data_time: 0.1006 memory: 6117 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0135 loss_cls: 0.0982 acc: 97.1436 loss_bbox: 0.1347 loss_mask: 0.2591 loss: 0.5189 2022/08/26 16:57:05 - mmengine - INFO - Epoch(train) [55][90/125] lr: 8.0000e-02 eta: 1:36:12 time: 0.3911 data_time: 0.1182 memory: 6489 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0136 loss_cls: 0.0954 acc: 97.2168 loss_bbox: 0.1313 loss_mask: 0.2627 loss: 0.5147 2022/08/26 16:57:06 - mmengine - INFO - Epoch(train) [55][95/125] lr: 8.0000e-02 eta: 1:36:12 time: 0.3621 data_time: 0.0877 memory: 6101 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0130 loss_cls: 0.0966 acc: 97.2900 loss_bbox: 0.1302 loss_mask: 0.2434 loss: 0.4943 2022/08/26 16:57:08 - mmengine - INFO - Epoch(train) [55][100/125] lr: 8.0000e-02 eta: 1:36:06 time: 0.3495 data_time: 0.0700 memory: 6507 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0148 loss_cls: 0.1037 acc: 95.5566 loss_bbox: 0.1408 loss_mask: 0.2192 loss: 0.4905 2022/08/26 16:57:11 - mmengine - INFO - Epoch(train) [55][105/125] lr: 8.0000e-02 eta: 1:36:06 time: 0.4149 data_time: 0.0937 memory: 7240 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0170 loss_cls: 0.1076 acc: 95.1172 loss_bbox: 0.1574 loss_mask: 0.2155 loss: 0.5125 2022/08/26 16:57:12 - mmengine - INFO - Epoch(train) [55][110/125] lr: 8.0000e-02 eta: 1:36:01 time: 0.3881 data_time: 0.0768 memory: 6238 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0131 loss_cls: 0.0938 acc: 97.7051 loss_bbox: 0.1282 loss_mask: 0.2290 loss: 0.4768 2022/08/26 16:57:15 - mmengine - INFO - Epoch(train) [55][115/125] lr: 8.0000e-02 eta: 1:36:01 time: 0.4222 data_time: 0.1022 memory: 6241 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0133 loss_cls: 0.0979 acc: 97.3389 loss_bbox: 0.1228 loss_mask: 0.2427 loss: 0.4891 2022/08/26 16:57:17 - mmengine - INFO - Epoch(train) [55][120/125] lr: 8.0000e-02 eta: 1:35:57 time: 0.4510 data_time: 0.1285 memory: 6594 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0155 loss_cls: 0.1148 acc: 95.2393 loss_bbox: 0.1594 loss_mask: 0.2529 loss: 0.5566 2022/08/26 16:57:19 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:57:19 - mmengine - INFO - Epoch(train) [55][125/125] lr: 8.0000e-02 eta: 1:35:57 time: 0.3949 data_time: 0.1268 memory: 6035 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0108 loss_cls: 0.1029 acc: 97.3145 loss_bbox: 0.1420 loss_mask: 0.2365 loss: 0.5019 2022/08/26 16:57:21 - mmengine - INFO - Epoch(train) [56][5/125] lr: 8.0000e-02 eta: 1:35:57 time: 0.4672 data_time: 0.2028 memory: 6078 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0105 loss_cls: 0.0858 acc: 96.3623 loss_bbox: 0.1150 loss_mask: 0.2185 loss: 0.4397 2022/08/26 16:57:23 - mmengine - INFO - Epoch(train) [56][10/125] lr: 8.0000e-02 eta: 1:35:46 time: 0.4136 data_time: 0.1463 memory: 6295 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0112 loss_cls: 0.0988 acc: 97.1436 loss_bbox: 0.1333 loss_mask: 0.2221 loss: 0.4772 2022/08/26 16:57:26 - mmengine - INFO - Epoch(train) [56][15/125] lr: 8.0000e-02 eta: 1:35:46 time: 0.4675 data_time: 0.0856 memory: 6698 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0109 loss_cls: 0.1236 acc: 95.3125 loss_bbox: 0.1591 loss_mask: 0.2364 loss: 0.5400 2022/08/26 16:57:28 - mmengine - INFO - Epoch(train) [56][20/125] lr: 8.0000e-02 eta: 1:35:42 time: 0.4845 data_time: 0.0974 memory: 6377 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0122 loss_cls: 0.1148 acc: 98.0225 loss_bbox: 0.1584 loss_mask: 0.2357 loss: 0.5312 2022/08/26 16:57:30 - mmengine - INFO - Epoch(train) [56][25/125] lr: 8.0000e-02 eta: 1:35:42 time: 0.3763 data_time: 0.0765 memory: 6360 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0131 loss_cls: 0.1077 acc: 94.6777 loss_bbox: 0.1449 loss_mask: 0.2244 loss: 0.5042 2022/08/26 16:57:31 - mmengine - INFO - Epoch(train) [56][30/125] lr: 8.0000e-02 eta: 1:35:36 time: 0.3592 data_time: 0.0680 memory: 6337 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0131 loss_cls: 0.1086 acc: 95.1904 loss_bbox: 0.1348 loss_mask: 0.2268 loss: 0.5003 2022/08/26 16:57:34 - mmengine - INFO - Epoch(train) [56][35/125] lr: 8.0000e-02 eta: 1:35:36 time: 0.4468 data_time: 0.1589 memory: 6567 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0121 loss_cls: 0.1094 acc: 95.6787 loss_bbox: 0.1387 loss_mask: 0.2355 loss: 0.5102 2022/08/26 16:57:36 - mmengine - INFO - Epoch(train) [56][40/125] lr: 8.0000e-02 eta: 1:35:33 time: 0.4796 data_time: 0.1881 memory: 6594 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0109 loss_cls: 0.1068 acc: 96.9238 loss_bbox: 0.1436 loss_mask: 0.2528 loss: 0.5245 2022/08/26 16:57:38 - mmengine - INFO - Epoch(train) [56][45/125] lr: 8.0000e-02 eta: 1:35:33 time: 0.3586 data_time: 0.0844 memory: 6541 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0122 loss_cls: 0.1082 acc: 95.7520 loss_bbox: 0.1535 loss_mask: 0.2454 loss: 0.5310 2022/08/26 16:57:40 - mmengine - INFO - Epoch(train) [56][50/125] lr: 8.0000e-02 eta: 1:35:26 time: 0.3387 data_time: 0.0641 memory: 6029 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0128 loss_cls: 0.1104 acc: 97.1436 loss_bbox: 0.1475 loss_mask: 0.2431 loss: 0.5270 2022/08/26 16:57:41 - mmengine - INFO - Epoch(train) [56][55/125] lr: 8.0000e-02 eta: 1:35:26 time: 0.3371 data_time: 0.0617 memory: 6117 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0114 loss_cls: 0.1040 acc: 95.2393 loss_bbox: 0.1353 loss_mask: 0.2518 loss: 0.5156 2022/08/26 16:57:44 - mmengine - INFO - Epoch(train) [56][60/125] lr: 8.0000e-02 eta: 1:35:23 time: 0.4802 data_time: 0.1672 memory: 6930 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0148 loss_cls: 0.1220 acc: 93.8232 loss_bbox: 0.1633 loss_mask: 0.2491 loss: 0.5662 2022/08/26 16:57:47 - mmengine - INFO - Epoch(train) [56][65/125] lr: 8.0000e-02 eta: 1:35:23 time: 0.5814 data_time: 0.2641 memory: 6727 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0171 loss_cls: 0.1316 acc: 95.1660 loss_bbox: 0.1827 loss_mask: 0.2478 loss: 0.5935 2022/08/26 16:57:50 - mmengine - INFO - Epoch(train) [56][70/125] lr: 8.0000e-02 eta: 1:35:20 time: 0.5047 data_time: 0.1719 memory: 6434 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0140 loss_cls: 0.1178 acc: 96.3379 loss_bbox: 0.1671 loss_mask: 0.2476 loss: 0.5557 2022/08/26 16:57:51 - mmengine - INFO - Epoch(train) [56][75/125] lr: 8.0000e-02 eta: 1:35:20 time: 0.3928 data_time: 0.0627 memory: 6317 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0138 loss_cls: 0.0988 acc: 97.3145 loss_bbox: 0.1449 loss_mask: 0.2388 loss: 0.5047 2022/08/26 16:57:53 - mmengine - INFO - Epoch(train) [56][80/125] lr: 8.0000e-02 eta: 1:35:13 time: 0.3277 data_time: 0.0502 memory: 6402 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0186 loss_cls: 0.1005 acc: 96.9482 loss_bbox: 0.1411 loss_mask: 0.2269 loss: 0.5036 2022/08/26 16:57:55 - mmengine - INFO - Epoch(train) [56][85/125] lr: 8.0000e-02 eta: 1:35:13 time: 0.3783 data_time: 0.0819 memory: 7545 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0173 loss_cls: 0.1136 acc: 95.7764 loss_bbox: 0.1423 loss_mask: 0.2322 loss: 0.5268 2022/08/26 16:57:57 - mmengine - INFO - Epoch(train) [56][90/125] lr: 8.0000e-02 eta: 1:35:08 time: 0.4090 data_time: 0.1148 memory: 6314 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0150 loss_cls: 0.1198 acc: 94.1406 loss_bbox: 0.1480 loss_mask: 0.2531 loss: 0.5545 2022/08/26 16:57:58 - mmengine - INFO - Epoch(train) [56][95/125] lr: 8.0000e-02 eta: 1:35:08 time: 0.3640 data_time: 0.0962 memory: 5944 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0147 loss_cls: 0.1048 acc: 97.1191 loss_bbox: 0.1392 loss_mask: 0.2637 loss: 0.5387 2022/08/26 16:58:00 - mmengine - INFO - Epoch(train) [56][100/125] lr: 8.0000e-02 eta: 1:35:02 time: 0.3404 data_time: 0.0716 memory: 6304 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0106 loss_cls: 0.0886 acc: 96.7285 loss_bbox: 0.1227 loss_mask: 0.2574 loss: 0.4914 2022/08/26 16:58:02 - mmengine - INFO - Epoch(train) [56][105/125] lr: 8.0000e-02 eta: 1:35:02 time: 0.3448 data_time: 0.0674 memory: 6568 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0144 loss_cls: 0.1090 acc: 95.5078 loss_bbox: 0.1432 loss_mask: 0.2427 loss: 0.5238 2022/08/26 16:58:04 - mmengine - INFO - Epoch(train) [56][110/125] lr: 8.0000e-02 eta: 1:34:57 time: 0.3744 data_time: 0.0635 memory: 6640 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0178 loss_cls: 0.1222 acc: 98.2178 loss_bbox: 0.1688 loss_mask: 0.2281 loss: 0.5522 2022/08/26 16:58:07 - mmengine - INFO - Epoch(train) [56][115/125] lr: 8.0000e-02 eta: 1:34:57 time: 0.5461 data_time: 0.2397 memory: 6610 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0167 loss_cls: 0.1162 acc: 94.9707 loss_bbox: 0.1700 loss_mask: 0.2366 loss: 0.5507 2022/08/26 16:58:09 - mmengine - INFO - Epoch(train) [56][120/125] lr: 8.0000e-02 eta: 1:34:54 time: 0.5297 data_time: 0.2573 memory: 6186 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0177 loss_cls: 0.1101 acc: 96.6797 loss_bbox: 0.1526 loss_mask: 0.2520 loss: 0.5443 2022/08/26 16:58:11 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:58:11 - mmengine - INFO - Epoch(train) [56][125/125] lr: 8.0000e-02 eta: 1:34:54 time: 0.3705 data_time: 0.0810 memory: 6104 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0133 loss_cls: 0.0949 acc: 95.7031 loss_bbox: 0.1279 loss_mask: 0.2533 loss: 0.5019 2022/08/26 16:58:15 - mmengine - INFO - Epoch(train) [57][5/125] lr: 8.0000e-02 eta: 1:34:54 time: 0.5300 data_time: 0.2099 memory: 7892 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0144 loss_cls: 0.1024 acc: 94.7754 loss_bbox: 0.1490 loss_mask: 0.2423 loss: 0.5201 2022/08/26 16:58:17 - mmengine - INFO - Epoch(train) [57][10/125] lr: 8.0000e-02 eta: 1:34:46 time: 0.5745 data_time: 0.2691 memory: 6409 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0195 loss_cls: 0.1096 acc: 96.9238 loss_bbox: 0.1567 loss_mask: 0.2196 loss: 0.5175 2022/08/26 16:58:19 - mmengine - INFO - Epoch(train) [57][15/125] lr: 8.0000e-02 eta: 1:34:46 time: 0.4064 data_time: 0.1081 memory: 7522 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0173 loss_cls: 0.1164 acc: 95.8008 loss_bbox: 0.1487 loss_mask: 0.2264 loss: 0.5209 2022/08/26 16:58:21 - mmengine - INFO - Epoch(train) [57][20/125] lr: 8.0000e-02 eta: 1:34:41 time: 0.3938 data_time: 0.0962 memory: 6307 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0136 loss_cls: 0.1281 acc: 96.4111 loss_bbox: 0.1585 loss_mask: 0.2461 loss: 0.5582 2022/08/26 16:58:23 - mmengine - INFO - Epoch(train) [57][25/125] lr: 8.0000e-02 eta: 1:34:41 time: 0.4044 data_time: 0.1248 memory: 6649 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0154 loss_cls: 0.1221 acc: 96.1670 loss_bbox: 0.1585 loss_mask: 0.2672 loss: 0.5762 2022/08/26 16:58:25 - mmengine - INFO - Epoch(train) [57][30/125] lr: 8.0000e-02 eta: 1:34:36 time: 0.4324 data_time: 0.0905 memory: 6333 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0169 loss_cls: 0.1085 acc: 95.2637 loss_bbox: 0.1454 loss_mask: 0.2524 loss: 0.5355 2022/08/26 16:58:27 - mmengine - INFO - Epoch(train) [57][35/125] lr: 8.0000e-02 eta: 1:34:36 time: 0.4216 data_time: 0.0876 memory: 5992 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0132 loss_cls: 0.0975 acc: 95.7275 loss_bbox: 0.1243 loss_mask: 0.2282 loss: 0.4748 2022/08/26 16:58:29 - mmengine - INFO - Epoch(train) [57][40/125] lr: 8.0000e-02 eta: 1:34:30 time: 0.3525 data_time: 0.0832 memory: 6151 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0109 loss_cls: 0.0967 acc: 95.0195 loss_bbox: 0.1190 loss_mask: 0.2402 loss: 0.4784 2022/08/26 16:58:30 - mmengine - INFO - Epoch(train) [57][45/125] lr: 8.0000e-02 eta: 1:34:30 time: 0.3405 data_time: 0.0674 memory: 6222 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0112 loss_cls: 0.0896 acc: 96.0938 loss_bbox: 0.1178 loss_mask: 0.2366 loss: 0.4636 2022/08/26 16:58:33 - mmengine - INFO - Epoch(train) [57][50/125] lr: 8.0000e-02 eta: 1:34:26 time: 0.4580 data_time: 0.1837 memory: 6547 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0135 loss_cls: 0.0988 acc: 95.0684 loss_bbox: 0.1276 loss_mask: 0.2325 loss: 0.4813 2022/08/26 16:58:35 - mmengine - INFO - Epoch(train) [57][55/125] lr: 8.0000e-02 eta: 1:34:26 time: 0.4594 data_time: 0.1775 memory: 6460 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0168 loss_cls: 0.1048 acc: 96.6309 loss_bbox: 0.1324 loss_mask: 0.2279 loss: 0.4944 2022/08/26 16:58:37 - mmengine - INFO - Epoch(train) [57][60/125] lr: 8.0000e-02 eta: 1:34:21 time: 0.3675 data_time: 0.0867 memory: 6189 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0150 loss_cls: 0.1009 acc: 97.0947 loss_bbox: 0.1310 loss_mask: 0.2489 loss: 0.5088 2022/08/26 16:58:39 - mmengine - INFO - Epoch(train) [57][65/125] lr: 8.0000e-02 eta: 1:34:21 time: 0.3569 data_time: 0.0838 memory: 6666 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0119 loss_cls: 0.1143 acc: 97.1191 loss_bbox: 0.1416 loss_mask: 0.2666 loss: 0.5458 2022/08/26 16:58:40 - mmengine - INFO - Epoch(train) [57][70/125] lr: 8.0000e-02 eta: 1:34:14 time: 0.3438 data_time: 0.0728 memory: 6649 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0133 loss_cls: 0.1230 acc: 93.9453 loss_bbox: 0.1510 loss_mask: 0.2585 loss: 0.5580 2022/08/26 16:58:42 - mmengine - INFO - Epoch(train) [57][75/125] lr: 8.0000e-02 eta: 1:34:14 time: 0.3895 data_time: 0.1201 memory: 6258 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0140 loss_cls: 0.1089 acc: 96.6309 loss_bbox: 0.1432 loss_mask: 0.2396 loss: 0.5191 2022/08/26 16:58:45 - mmengine - INFO - Epoch(train) [57][80/125] lr: 8.0000e-02 eta: 1:34:11 time: 0.4965 data_time: 0.1416 memory: 6845 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0152 loss_cls: 0.1092 acc: 92.1143 loss_bbox: 0.1526 loss_mask: 0.2283 loss: 0.5210 2022/08/26 16:58:47 - mmengine - INFO - Epoch(train) [57][85/125] lr: 8.0000e-02 eta: 1:34:11 time: 0.4458 data_time: 0.0906 memory: 6336 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0173 loss_cls: 0.1089 acc: 96.3379 loss_bbox: 0.1540 loss_mask: 0.2216 loss: 0.5160 2022/08/26 16:58:49 - mmengine - INFO - Epoch(train) [57][90/125] lr: 8.0000e-02 eta: 1:34:05 time: 0.3285 data_time: 0.0508 memory: 6604 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0156 loss_cls: 0.1022 acc: 95.9473 loss_bbox: 0.1442 loss_mask: 0.2259 loss: 0.4992 2022/08/26 16:58:52 - mmengine - INFO - Epoch(train) [57][95/125] lr: 8.0000e-02 eta: 1:34:05 time: 0.4588 data_time: 0.1504 memory: 6346 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0146 loss_cls: 0.1114 acc: 95.2881 loss_bbox: 0.1520 loss_mask: 0.2470 loss: 0.5374 2022/08/26 16:58:54 - mmengine - INFO - Epoch(train) [57][100/125] lr: 8.0000e-02 eta: 1:34:02 time: 0.5066 data_time: 0.1826 memory: 6353 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0160 loss_cls: 0.1092 acc: 95.5322 loss_bbox: 0.1477 loss_mask: 0.2422 loss: 0.5285 2022/08/26 16:58:55 - mmengine - INFO - Epoch(train) [57][105/125] lr: 8.0000e-02 eta: 1:34:02 time: 0.3927 data_time: 0.0977 memory: 6412 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0171 loss_cls: 0.1116 acc: 96.3135 loss_bbox: 0.1464 loss_mask: 0.2379 loss: 0.5279 2022/08/26 16:58:57 - mmengine - INFO - Epoch(train) [57][110/125] lr: 8.0000e-02 eta: 1:33:56 time: 0.3496 data_time: 0.0763 memory: 6189 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0150 loss_cls: 0.1042 acc: 96.3623 loss_bbox: 0.1352 loss_mask: 0.2293 loss: 0.4971 2022/08/26 16:58:59 - mmengine - INFO - Epoch(train) [57][115/125] lr: 8.0000e-02 eta: 1:33:56 time: 0.3438 data_time: 0.0693 memory: 6389 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0123 loss_cls: 0.0935 acc: 97.4121 loss_bbox: 0.1211 loss_mask: 0.2377 loss: 0.4775 2022/08/26 16:59:01 - mmengine - INFO - Epoch(train) [57][120/125] lr: 8.0000e-02 eta: 1:33:49 time: 0.3342 data_time: 0.0581 memory: 6245 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0140 loss_cls: 0.1094 acc: 95.5322 loss_bbox: 0.1418 loss_mask: 0.2523 loss: 0.5308 2022/08/26 16:59:02 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:59:02 - mmengine - INFO - Epoch(train) [57][125/125] lr: 8.0000e-02 eta: 1:33:49 time: 0.3308 data_time: 0.0537 memory: 6320 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0139 loss_cls: 0.1195 acc: 95.3857 loss_bbox: 0.1596 loss_mask: 0.2449 loss: 0.5507 2022/08/26 16:59:05 - mmengine - INFO - Epoch(train) [58][5/125] lr: 8.0000e-02 eta: 1:33:49 time: 0.4302 data_time: 0.1222 memory: 6262 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0118 loss_cls: 0.1077 acc: 97.2168 loss_bbox: 0.1456 loss_mask: 0.2419 loss: 0.5199 2022/08/26 16:59:08 - mmengine - INFO - Epoch(train) [58][10/125] lr: 8.0000e-02 eta: 1:33:41 time: 0.5345 data_time: 0.2284 memory: 6532 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0107 loss_cls: 0.1049 acc: 96.1914 loss_bbox: 0.1398 loss_mask: 0.2574 loss: 0.5251 2022/08/26 16:59:10 - mmengine - INFO - Epoch(train) [58][15/125] lr: 8.0000e-02 eta: 1:33:41 time: 0.5105 data_time: 0.2401 memory: 6346 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0121 loss_cls: 0.1050 acc: 95.5811 loss_bbox: 0.1414 loss_mask: 0.2568 loss: 0.5294 2022/08/26 16:59:12 - mmengine - INFO - Epoch(train) [58][20/125] lr: 8.0000e-02 eta: 1:33:36 time: 0.4021 data_time: 0.1341 memory: 6401 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0129 loss_cls: 0.0989 acc: 94.7510 loss_bbox: 0.1385 loss_mask: 0.2401 loss: 0.5057 2022/08/26 16:59:14 - mmengine - INFO - Epoch(train) [58][25/125] lr: 8.0000e-02 eta: 1:33:36 time: 0.3790 data_time: 0.0655 memory: 6613 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0154 loss_cls: 0.1110 acc: 94.2871 loss_bbox: 0.1557 loss_mask: 0.2436 loss: 0.5394 2022/08/26 16:59:16 - mmengine - INFO - Epoch(train) [58][30/125] lr: 8.0000e-02 eta: 1:33:32 time: 0.4528 data_time: 0.1117 memory: 6183 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0149 loss_cls: 0.1127 acc: 95.5078 loss_bbox: 0.1512 loss_mask: 0.2635 loss: 0.5535 2022/08/26 16:59:19 - mmengine - INFO - Epoch(train) [58][35/125] lr: 8.0000e-02 eta: 1:33:32 time: 0.4465 data_time: 0.1150 memory: 7962 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0197 loss_cls: 0.1155 acc: 93.8721 loss_bbox: 0.1636 loss_mask: 0.2769 loss: 0.5882 2022/08/26 16:59:20 - mmengine - INFO - Epoch(train) [58][40/125] lr: 8.0000e-02 eta: 1:33:26 time: 0.3881 data_time: 0.0826 memory: 6369 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0237 loss_cls: 0.1118 acc: 96.0938 loss_bbox: 0.1607 loss_mask: 0.2443 loss: 0.5536 2022/08/26 16:59:22 - mmengine - INFO - Epoch(train) [58][45/125] lr: 8.0000e-02 eta: 1:33:26 time: 0.3454 data_time: 0.0691 memory: 6328 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0177 loss_cls: 0.0934 acc: 97.3145 loss_bbox: 0.1237 loss_mask: 0.2348 loss: 0.4786 2022/08/26 16:59:24 - mmengine - INFO - Epoch(train) [58][50/125] lr: 8.0000e-02 eta: 1:33:21 time: 0.3544 data_time: 0.0625 memory: 6206 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0138 loss_cls: 0.0952 acc: 95.6543 loss_bbox: 0.1256 loss_mask: 0.2494 loss: 0.4918 2022/08/26 16:59:26 - mmengine - INFO - Epoch(train) [58][55/125] lr: 8.0000e-02 eta: 1:33:21 time: 0.3652 data_time: 0.0701 memory: 6551 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0145 loss_cls: 0.1083 acc: 94.5312 loss_bbox: 0.1498 loss_mask: 0.2561 loss: 0.5440 2022/08/26 16:59:28 - mmengine - INFO - Epoch(train) [58][60/125] lr: 8.0000e-02 eta: 1:33:15 time: 0.3934 data_time: 0.1089 memory: 6305 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0181 loss_cls: 0.1150 acc: 97.3389 loss_bbox: 0.1585 loss_mask: 0.2465 loss: 0.5567 2022/08/26 16:59:30 - mmengine - INFO - Epoch(train) [58][65/125] lr: 8.0000e-02 eta: 1:33:15 time: 0.3898 data_time: 0.1080 memory: 6219 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0188 loss_cls: 0.1074 acc: 95.9717 loss_bbox: 0.1454 loss_mask: 0.2350 loss: 0.5206 2022/08/26 16:59:31 - mmengine - INFO - Epoch(train) [58][70/125] lr: 8.0000e-02 eta: 1:33:10 time: 0.3727 data_time: 0.0871 memory: 6480 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0210 loss_cls: 0.1117 acc: 95.0928 loss_bbox: 0.1550 loss_mask: 0.2404 loss: 0.5413 2022/08/26 16:59:33 - mmengine - INFO - Epoch(train) [58][75/125] lr: 8.0000e-02 eta: 1:33:10 time: 0.3839 data_time: 0.0980 memory: 6344 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0187 loss_cls: 0.1124 acc: 94.6533 loss_bbox: 0.1619 loss_mask: 0.2354 loss: 0.5417 2022/08/26 16:59:35 - mmengine - INFO - Epoch(train) [58][80/125] lr: 8.0000e-02 eta: 1:33:04 time: 0.3750 data_time: 0.0711 memory: 6369 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0141 loss_cls: 0.0923 acc: 97.4609 loss_bbox: 0.1356 loss_mask: 0.2374 loss: 0.4923 2022/08/26 16:59:37 - mmengine - INFO - Epoch(train) [58][85/125] lr: 8.0000e-02 eta: 1:33:04 time: 0.3651 data_time: 0.0649 memory: 6298 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0124 loss_cls: 0.0907 acc: 96.6797 loss_bbox: 0.1270 loss_mask: 0.2433 loss: 0.4881 2022/08/26 16:59:39 - mmengine - INFO - Epoch(train) [58][90/125] lr: 8.0000e-02 eta: 1:32:59 time: 0.3769 data_time: 0.1024 memory: 6173 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0127 loss_cls: 0.0998 acc: 95.0195 loss_bbox: 0.1406 loss_mask: 0.2301 loss: 0.4963 2022/08/26 16:59:41 - mmengine - INFO - Epoch(train) [58][95/125] lr: 8.0000e-02 eta: 1:32:59 time: 0.3622 data_time: 0.0937 memory: 6189 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0124 loss_cls: 0.0896 acc: 95.9961 loss_bbox: 0.1281 loss_mask: 0.2248 loss: 0.4647 2022/08/26 16:59:42 - mmengine - INFO - Epoch(train) [58][100/125] lr: 8.0000e-02 eta: 1:32:53 time: 0.3352 data_time: 0.0671 memory: 6307 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0119 loss_cls: 0.0780 acc: 97.9980 loss_bbox: 0.1111 loss_mask: 0.2337 loss: 0.4438 2022/08/26 16:59:46 - mmengine - INFO - Epoch(train) [58][105/125] lr: 8.0000e-02 eta: 1:32:53 time: 0.5219 data_time: 0.1476 memory: 6836 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0140 loss_cls: 0.1001 acc: 92.1387 loss_bbox: 0.1460 loss_mask: 0.2367 loss: 0.5063 2022/08/26 16:59:47 - mmengine - INFO - Epoch(train) [58][110/125] lr: 8.0000e-02 eta: 1:32:50 time: 0.5066 data_time: 0.1289 memory: 6324 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0137 loss_cls: 0.1107 acc: 95.0928 loss_bbox: 0.1579 loss_mask: 0.2419 loss: 0.5328 2022/08/26 16:59:49 - mmengine - INFO - Epoch(train) [58][115/125] lr: 8.0000e-02 eta: 1:32:50 time: 0.3561 data_time: 0.0625 memory: 6709 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0167 loss_cls: 0.1163 acc: 94.9951 loss_bbox: 0.1620 loss_mask: 0.2549 loss: 0.5605 2022/08/26 16:59:51 - mmengine - INFO - Epoch(train) [58][120/125] lr: 8.0000e-02 eta: 1:32:44 time: 0.3745 data_time: 0.0881 memory: 6525 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0168 loss_cls: 0.1284 acc: 95.2637 loss_bbox: 0.1746 loss_mask: 0.2472 loss: 0.5817 2022/08/26 16:59:53 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 16:59:53 - mmengine - INFO - Epoch(train) [58][125/125] lr: 8.0000e-02 eta: 1:32:44 time: 0.3347 data_time: 0.0657 memory: 6411 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0154 loss_cls: 0.1128 acc: 96.4111 loss_bbox: 0.1492 loss_mask: 0.2218 loss: 0.5115 2022/08/26 16:59:55 - mmengine - INFO - Epoch(train) [59][5/125] lr: 8.0000e-02 eta: 1:32:44 time: 0.3961 data_time: 0.1262 memory: 6405 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0146 loss_cls: 0.1013 acc: 97.2412 loss_bbox: 0.1397 loss_mask: 0.2195 loss: 0.4840 2022/08/26 16:59:57 - mmengine - INFO - Epoch(train) [59][10/125] lr: 8.0000e-02 eta: 1:32:33 time: 0.3962 data_time: 0.1292 memory: 6291 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0103 loss_cls: 0.1013 acc: 97.1680 loss_bbox: 0.1335 loss_mask: 0.2215 loss: 0.4773 2022/08/26 17:00:00 - mmengine - INFO - Epoch(train) [59][15/125] lr: 8.0000e-02 eta: 1:32:33 time: 0.4307 data_time: 0.1379 memory: 6583 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0144 loss_cls: 0.1131 acc: 94.2383 loss_bbox: 0.1501 loss_mask: 0.2259 loss: 0.5153 2022/08/26 17:00:02 - mmengine - INFO - Epoch(train) [59][20/125] lr: 8.0000e-02 eta: 1:32:30 time: 0.4764 data_time: 0.1771 memory: 6301 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0166 loss_cls: 0.1148 acc: 96.1426 loss_bbox: 0.1596 loss_mask: 0.2385 loss: 0.5392 2022/08/26 17:00:05 - mmengine - INFO - Epoch(train) [59][25/125] lr: 8.0000e-02 eta: 1:32:30 time: 0.5082 data_time: 0.2185 memory: 6570 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0170 loss_cls: 0.1214 acc: 95.7275 loss_bbox: 0.1676 loss_mask: 0.2435 loss: 0.5619 2022/08/26 17:00:06 - mmengine - INFO - Epoch(train) [59][30/125] lr: 8.0000e-02 eta: 1:32:26 time: 0.4528 data_time: 0.1667 memory: 6183 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0210 loss_cls: 0.1085 acc: 96.2891 loss_bbox: 0.1477 loss_mask: 0.2301 loss: 0.5214 2022/08/26 17:00:08 - mmengine - INFO - Epoch(train) [59][35/125] lr: 8.0000e-02 eta: 1:32:26 time: 0.3238 data_time: 0.0467 memory: 6346 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0209 loss_cls: 0.0870 acc: 95.7520 loss_bbox: 0.1203 loss_mask: 0.2140 loss: 0.4551 2022/08/26 17:00:11 - mmengine - INFO - Epoch(train) [59][40/125] lr: 8.0000e-02 eta: 1:32:21 time: 0.4497 data_time: 0.1723 memory: 6058 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0162 loss_cls: 0.0950 acc: 95.7520 loss_bbox: 0.1317 loss_mask: 0.2368 loss: 0.4926 2022/08/26 17:00:12 - mmengine - INFO - Epoch(train) [59][45/125] lr: 8.0000e-02 eta: 1:32:21 time: 0.4568 data_time: 0.1826 memory: 6405 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0153 loss_cls: 0.1054 acc: 95.4590 loss_bbox: 0.1503 loss_mask: 0.2425 loss: 0.5284 2022/08/26 17:00:15 - mmengine - INFO - Epoch(train) [59][50/125] lr: 8.0000e-02 eta: 1:32:16 time: 0.3994 data_time: 0.1076 memory: 6378 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0185 loss_cls: 0.1178 acc: 95.3857 loss_bbox: 0.1621 loss_mask: 0.2274 loss: 0.5423 2022/08/26 17:00:17 - mmengine - INFO - Epoch(train) [59][55/125] lr: 8.0000e-02 eta: 1:32:16 time: 0.4251 data_time: 0.1125 memory: 7442 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0153 loss_cls: 0.1110 acc: 94.2871 loss_bbox: 0.1504 loss_mask: 0.2335 loss: 0.5233 2022/08/26 17:00:19 - mmengine - INFO - Epoch(train) [59][60/125] lr: 8.0000e-02 eta: 1:32:12 time: 0.4081 data_time: 0.0853 memory: 7822 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0164 loss_cls: 0.1147 acc: 95.3125 loss_bbox: 0.1688 loss_mask: 0.2357 loss: 0.5471 2022/08/26 17:00:21 - mmengine - INFO - Epoch(train) [59][65/125] lr: 8.0000e-02 eta: 1:32:12 time: 0.4309 data_time: 0.0614 memory: 6210 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0162 loss_cls: 0.1185 acc: 95.4346 loss_bbox: 0.1512 loss_mask: 0.2530 loss: 0.5507 2022/08/26 17:00:23 - mmengine - INFO - Epoch(train) [59][70/125] lr: 8.0000e-02 eta: 1:32:07 time: 0.4376 data_time: 0.0948 memory: 6167 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0132 loss_cls: 0.1065 acc: 96.8750 loss_bbox: 0.1250 loss_mask: 0.2472 loss: 0.5026 2022/08/26 17:00:25 - mmengine - INFO - Epoch(train) [59][75/125] lr: 8.0000e-02 eta: 1:32:07 time: 0.3851 data_time: 0.1122 memory: 6353 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0132 loss_cls: 0.1044 acc: 97.4609 loss_bbox: 0.1413 loss_mask: 0.2259 loss: 0.4947 2022/08/26 17:00:27 - mmengine - INFO - Epoch(train) [59][80/125] lr: 8.0000e-02 eta: 1:32:02 time: 0.3606 data_time: 0.0902 memory: 6292 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0126 loss_cls: 0.1002 acc: 95.9473 loss_bbox: 0.1368 loss_mask: 0.2303 loss: 0.4895 2022/08/26 17:00:29 - mmengine - INFO - Epoch(train) [59][85/125] lr: 8.0000e-02 eta: 1:32:02 time: 0.4455 data_time: 0.1718 memory: 6343 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0144 loss_cls: 0.1078 acc: 95.2393 loss_bbox: 0.1410 loss_mask: 0.2423 loss: 0.5184 2022/08/26 17:00:31 - mmengine - INFO - Epoch(train) [59][90/125] lr: 8.0000e-02 eta: 1:31:57 time: 0.4166 data_time: 0.1459 memory: 6337 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0145 loss_cls: 0.1177 acc: 95.6055 loss_bbox: 0.1498 loss_mask: 0.2709 loss: 0.5672 2022/08/26 17:00:32 - mmengine - INFO - Epoch(train) [59][95/125] lr: 8.0000e-02 eta: 1:31:57 time: 0.3078 data_time: 0.0432 memory: 6242 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0134 loss_cls: 0.1101 acc: 96.0693 loss_bbox: 0.1366 loss_mask: 0.2651 loss: 0.5362 2022/08/26 17:00:36 - mmengine - INFO - Epoch(train) [59][100/125] lr: 8.0000e-02 eta: 1:31:54 time: 0.5124 data_time: 0.1009 memory: 6385 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0148 loss_cls: 0.1087 acc: 96.9238 loss_bbox: 0.1416 loss_mask: 0.2426 loss: 0.5182 2022/08/26 17:00:38 - mmengine - INFO - Epoch(train) [59][105/125] lr: 8.0000e-02 eta: 1:31:54 time: 0.5338 data_time: 0.1196 memory: 6549 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0162 loss_cls: 0.1180 acc: 96.5576 loss_bbox: 0.1526 loss_mask: 0.2445 loss: 0.5439 2022/08/26 17:00:39 - mmengine - INFO - Epoch(train) [59][110/125] lr: 8.0000e-02 eta: 1:31:48 time: 0.3307 data_time: 0.0584 memory: 5970 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0123 loss_cls: 0.1102 acc: 97.1191 loss_bbox: 0.1394 loss_mask: 0.2444 loss: 0.5189 2022/08/26 17:00:41 - mmengine - INFO - Epoch(train) [59][115/125] lr: 8.0000e-02 eta: 1:31:48 time: 0.3275 data_time: 0.0504 memory: 6803 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0106 loss_cls: 0.1077 acc: 97.2168 loss_bbox: 0.1455 loss_mask: 0.2561 loss: 0.5302 2022/08/26 17:00:43 - mmengine - INFO - Epoch(train) [59][120/125] lr: 8.0000e-02 eta: 1:31:42 time: 0.3471 data_time: 0.0687 memory: 6107 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0125 loss_cls: 0.1061 acc: 95.6787 loss_bbox: 0.1428 loss_mask: 0.2377 loss: 0.5079 2022/08/26 17:00:44 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:00:44 - mmengine - INFO - Epoch(train) [59][125/125] lr: 8.0000e-02 eta: 1:31:42 time: 0.3322 data_time: 0.0593 memory: 6409 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0114 loss_cls: 0.1028 acc: 97.3633 loss_bbox: 0.1371 loss_mask: 0.2162 loss: 0.4778 2022/08/26 17:00:47 - mmengine - INFO - Epoch(train) [60][5/125] lr: 8.0000e-02 eta: 1:31:42 time: 0.4606 data_time: 0.1864 memory: 6095 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0118 loss_cls: 0.0962 acc: 96.6553 loss_bbox: 0.1319 loss_mask: 0.2433 loss: 0.4936 2022/08/26 17:00:50 - mmengine - INFO - Epoch(train) [60][10/125] lr: 8.0000e-02 eta: 1:31:33 time: 0.5456 data_time: 0.2524 memory: 6337 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0135 loss_cls: 0.0904 acc: 94.7998 loss_bbox: 0.1256 loss_mask: 0.2558 loss: 0.4950 2022/08/26 17:00:51 - mmengine - INFO - Epoch(train) [60][15/125] lr: 8.0000e-02 eta: 1:31:33 time: 0.3922 data_time: 0.1026 memory: 6190 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0125 loss_cls: 0.0962 acc: 94.9219 loss_bbox: 0.1386 loss_mask: 0.2392 loss: 0.4986 2022/08/26 17:00:54 - mmengine - INFO - Epoch(train) [60][20/125] lr: 8.0000e-02 eta: 1:31:28 time: 0.4021 data_time: 0.1204 memory: 6154 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0117 loss_cls: 0.0970 acc: 96.0205 loss_bbox: 0.1433 loss_mask: 0.2312 loss: 0.4964 2022/08/26 17:00:55 - mmengine - INFO - Epoch(train) [60][25/125] lr: 8.0000e-02 eta: 1:31:28 time: 0.4145 data_time: 0.1292 memory: 6275 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0135 loss_cls: 0.1061 acc: 96.0205 loss_bbox: 0.1454 loss_mask: 0.2475 loss: 0.5257 2022/08/26 17:00:57 - mmengine - INFO - Epoch(train) [60][30/125] lr: 8.0000e-02 eta: 1:31:23 time: 0.3478 data_time: 0.0720 memory: 6466 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0143 loss_cls: 0.1049 acc: 95.7520 loss_bbox: 0.1372 loss_mask: 0.2509 loss: 0.5199 2022/08/26 17:01:00 - mmengine - INFO - Epoch(train) [60][35/125] lr: 8.0000e-02 eta: 1:31:23 time: 0.4406 data_time: 0.1085 memory: 7540 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0143 loss_cls: 0.1067 acc: 94.8242 loss_bbox: 0.1465 loss_mask: 0.2413 loss: 0.5237 2022/08/26 17:01:02 - mmengine - INFO - Epoch(train) [60][40/125] lr: 8.0000e-02 eta: 1:31:18 time: 0.4263 data_time: 0.0924 memory: 6692 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0171 loss_cls: 0.1257 acc: 92.7246 loss_bbox: 0.1766 loss_mask: 0.2357 loss: 0.5717 2022/08/26 17:01:05 - mmengine - INFO - Epoch(train) [60][45/125] lr: 8.0000e-02 eta: 1:31:18 time: 0.4608 data_time: 0.1904 memory: 6080 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0163 loss_cls: 0.1150 acc: 95.9229 loss_bbox: 0.1589 loss_mask: 0.2364 loss: 0.5402 2022/08/26 17:01:07 - mmengine - INFO - Epoch(train) [60][50/125] lr: 8.0000e-02 eta: 1:31:15 time: 0.4959 data_time: 0.2028 memory: 7832 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0151 loss_cls: 0.1042 acc: 95.9473 loss_bbox: 0.1508 loss_mask: 0.2431 loss: 0.5245 2022/08/26 17:01:08 - mmengine - INFO - Epoch(train) [60][55/125] lr: 8.0000e-02 eta: 1:31:15 time: 0.3708 data_time: 0.0706 memory: 6434 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0199 loss_cls: 0.1104 acc: 96.3379 loss_bbox: 0.1595 loss_mask: 0.2539 loss: 0.5578 2022/08/26 17:01:10 - mmengine - INFO - Epoch(train) [60][60/125] lr: 8.0000e-02 eta: 1:31:09 time: 0.3412 data_time: 0.0604 memory: 6378 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0206 loss_cls: 0.1114 acc: 94.4336 loss_bbox: 0.1553 loss_mask: 0.2546 loss: 0.5587 2022/08/26 17:01:12 - mmengine - INFO - Epoch(train) [60][65/125] lr: 8.0000e-02 eta: 1:31:09 time: 0.3376 data_time: 0.0646 memory: 6268 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0144 loss_cls: 0.1032 acc: 94.9219 loss_bbox: 0.1407 loss_mask: 0.2421 loss: 0.5129 2022/08/26 17:01:15 - mmengine - INFO - Epoch(train) [60][70/125] lr: 8.0000e-02 eta: 1:31:06 time: 0.5264 data_time: 0.2058 memory: 6206 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0167 loss_cls: 0.0904 acc: 96.2646 loss_bbox: 0.1170 loss_mask: 0.2368 loss: 0.4718 2022/08/26 17:01:17 - mmengine - INFO - Epoch(train) [60][75/125] lr: 8.0000e-02 eta: 1:31:06 time: 0.5458 data_time: 0.2184 memory: 6473 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0192 loss_cls: 0.0968 acc: 94.6289 loss_bbox: 0.1314 loss_mask: 0.2292 loss: 0.4883 2022/08/26 17:01:19 - mmengine - INFO - Epoch(train) [60][80/125] lr: 8.0000e-02 eta: 1:31:00 time: 0.3635 data_time: 0.0822 memory: 6487 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0171 loss_cls: 0.0991 acc: 98.0225 loss_bbox: 0.1372 loss_mask: 0.2211 loss: 0.4852 2022/08/26 17:01:21 - mmengine - INFO - Epoch(train) [60][85/125] lr: 8.0000e-02 eta: 1:31:00 time: 0.3655 data_time: 0.0832 memory: 6640 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0161 loss_cls: 0.0953 acc: 97.3145 loss_bbox: 0.1294 loss_mask: 0.2137 loss: 0.4653 2022/08/26 17:01:22 - mmengine - INFO - Epoch(train) [60][90/125] lr: 8.0000e-02 eta: 1:30:55 time: 0.3611 data_time: 0.0855 memory: 6356 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0138 loss_cls: 0.1009 acc: 96.8506 loss_bbox: 0.1352 loss_mask: 0.2369 loss: 0.4986 2022/08/26 17:01:24 - mmengine - INFO - Epoch(train) [60][95/125] lr: 8.0000e-02 eta: 1:30:55 time: 0.3587 data_time: 0.0868 memory: 6022 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0135 loss_cls: 0.0914 acc: 95.1904 loss_bbox: 0.1204 loss_mask: 0.2323 loss: 0.4696 2022/08/26 17:01:26 - mmengine - INFO - Epoch(train) [60][100/125] lr: 8.0000e-02 eta: 1:30:49 time: 0.3683 data_time: 0.0942 memory: 6095 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0124 loss_cls: 0.0916 acc: 97.2656 loss_bbox: 0.1114 loss_mask: 0.2224 loss: 0.4497 2022/08/26 17:01:28 - mmengine - INFO - Epoch(train) [60][105/125] lr: 8.0000e-02 eta: 1:30:49 time: 0.3972 data_time: 0.1011 memory: 7493 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0127 loss_cls: 0.1178 acc: 96.2158 loss_bbox: 0.1402 loss_mask: 0.2358 loss: 0.5247 2022/08/26 17:01:30 - mmengine - INFO - Epoch(train) [60][110/125] lr: 8.0000e-02 eta: 1:30:44 time: 0.3694 data_time: 0.0774 memory: 6538 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0133 loss_cls: 0.1181 acc: 96.4844 loss_bbox: 0.1517 loss_mask: 0.2263 loss: 0.5260 2022/08/26 17:01:32 - mmengine - INFO - Epoch(train) [60][115/125] lr: 8.0000e-02 eta: 1:30:44 time: 0.3422 data_time: 0.0729 memory: 6467 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0118 loss_cls: 0.1079 acc: 97.3877 loss_bbox: 0.1428 loss_mask: 0.2303 loss: 0.5036 2022/08/26 17:01:33 - mmengine - INFO - Epoch(train) [60][120/125] lr: 8.0000e-02 eta: 1:30:38 time: 0.3639 data_time: 0.0886 memory: 6513 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0114 loss_cls: 0.1130 acc: 93.8477 loss_bbox: 0.1440 loss_mask: 0.2384 loss: 0.5194 2022/08/26 17:01:36 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:01:36 - mmengine - INFO - Epoch(train) [60][125/125] lr: 8.0000e-02 eta: 1:30:38 time: 0.4116 data_time: 0.0648 memory: 6724 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0136 loss_cls: 0.1109 acc: 95.1904 loss_bbox: 0.1376 loss_mask: 0.2529 loss: 0.5294 2022/08/26 17:01:36 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/26 17:01:43 - mmengine - INFO - Epoch(val) [60][5/500] eta: 1:30:38 time: 0.0904 data_time: 0.0064 memory: 1506 2022/08/26 17:01:44 - mmengine - INFO - Epoch(val) [60][10/500] eta: 0:00:51 time: 0.1054 data_time: 0.0098 memory: 1522 2022/08/26 17:01:44 - mmengine - INFO - Epoch(val) [60][15/500] eta: 0:00:51 time: 0.0872 data_time: 0.0057 memory: 1472 2022/08/26 17:01:45 - mmengine - INFO - Epoch(val) [60][20/500] eta: 0:00:35 time: 0.0748 data_time: 0.0022 memory: 1320 2022/08/26 17:01:45 - mmengine - INFO - Epoch(val) [60][25/500] eta: 0:00:35 time: 0.0659 data_time: 0.0022 memory: 1320 2022/08/26 17:01:45 - mmengine - INFO - Epoch(val) [60][30/500] eta: 0:00:29 time: 0.0627 data_time: 0.0022 memory: 1320 2022/08/26 17:01:46 - mmengine - INFO - Epoch(val) [60][35/500] eta: 0:00:29 time: 0.0684 data_time: 0.0021 memory: 1320 2022/08/26 17:01:46 - mmengine - INFO - Epoch(val) [60][40/500] eta: 0:00:32 time: 0.0708 data_time: 0.0021 memory: 1337 2022/08/26 17:01:46 - mmengine - INFO - Epoch(val) [60][45/500] eta: 0:00:32 time: 0.0676 data_time: 0.0021 memory: 1522 2022/08/26 17:01:47 - mmengine - INFO - Epoch(val) [60][50/500] eta: 0:00:30 time: 0.0673 data_time: 0.0021 memory: 1370 2022/08/26 17:01:47 - mmengine - INFO - Epoch(val) [60][55/500] eta: 0:00:30 time: 0.0654 data_time: 0.0020 memory: 1354 2022/08/26 17:01:47 - mmengine - INFO - Epoch(val) [60][60/500] eta: 0:00:31 time: 0.0710 data_time: 0.0020 memory: 1320 2022/08/26 17:01:48 - mmengine - INFO - Epoch(val) [60][65/500] eta: 0:00:31 time: 0.0731 data_time: 0.0022 memory: 1370 2022/08/26 17:01:48 - mmengine - INFO - Epoch(val) [60][70/500] eta: 0:00:28 time: 0.0656 data_time: 0.0022 memory: 1522 2022/08/26 17:01:48 - mmengine - INFO - Epoch(val) [60][75/500] eta: 0:00:28 time: 0.0726 data_time: 0.0022 memory: 1387 2022/08/26 17:01:49 - mmengine - INFO - Epoch(val) [60][80/500] eta: 0:00:31 time: 0.0747 data_time: 0.0022 memory: 1320 2022/08/26 17:01:49 - mmengine - INFO - Epoch(val) [60][85/500] eta: 0:00:31 time: 0.0666 data_time: 0.0022 memory: 1320 2022/08/26 17:01:49 - mmengine - INFO - Epoch(val) [60][90/500] eta: 0:00:28 time: 0.0698 data_time: 0.0022 memory: 1522 2022/08/26 17:01:50 - mmengine - INFO - Epoch(val) [60][95/500] eta: 0:00:28 time: 0.0694 data_time: 0.0021 memory: 1337 2022/08/26 17:01:50 - mmengine - INFO - Epoch(val) [60][100/500] eta: 0:00:25 time: 0.0627 data_time: 0.0020 memory: 1506 2022/08/26 17:01:50 - mmengine - INFO - Epoch(val) [60][105/500] eta: 0:00:25 time: 0.0653 data_time: 0.0021 memory: 1320 2022/08/26 17:01:51 - mmengine - INFO - Epoch(val) [60][110/500] eta: 0:00:25 time: 0.0658 data_time: 0.0022 memory: 1522 2022/08/26 17:01:51 - mmengine - INFO - Epoch(val) [60][115/500] eta: 0:00:25 time: 0.0647 data_time: 0.0030 memory: 1320 2022/08/26 17:01:51 - mmengine - INFO - Epoch(val) [60][120/500] eta: 0:00:29 time: 0.0764 data_time: 0.0031 memory: 1320 2022/08/26 17:01:52 - mmengine - INFO - Epoch(val) [60][125/500] eta: 0:00:29 time: 0.0872 data_time: 0.0024 memory: 1522 2022/08/26 17:01:52 - mmengine - INFO - Epoch(val) [60][130/500] eta: 0:00:29 time: 0.0789 data_time: 0.0024 memory: 1320 2022/08/26 17:01:53 - mmengine - INFO - Epoch(val) [60][135/500] eta: 0:00:29 time: 0.0688 data_time: 0.0022 memory: 1387 2022/08/26 17:01:53 - mmengine - INFO - Epoch(val) [60][140/500] eta: 0:00:25 time: 0.0703 data_time: 0.0021 memory: 1320 2022/08/26 17:01:53 - mmengine - INFO - Epoch(val) [60][145/500] eta: 0:00:25 time: 0.0662 data_time: 0.0022 memory: 1506 2022/08/26 17:01:54 - mmengine - INFO - Epoch(val) [60][150/500] eta: 0:00:22 time: 0.0642 data_time: 0.0022 memory: 1320 2022/08/26 17:01:55 - mmengine - INFO - Epoch(val) [60][155/500] eta: 0:00:22 time: 0.1616 data_time: 0.0055 memory: 1454 2022/08/26 17:01:55 - mmengine - INFO - Epoch(val) [60][160/500] eta: 0:00:54 time: 0.1601 data_time: 0.0063 memory: 1522 2022/08/26 17:01:56 - mmengine - INFO - Epoch(val) [60][165/500] eta: 0:00:54 time: 0.0683 data_time: 0.0030 memory: 1354 2022/08/26 17:01:56 - mmengine - INFO - Epoch(val) [60][170/500] eta: 0:00:23 time: 0.0711 data_time: 0.0023 memory: 1472 2022/08/26 17:01:56 - mmengine - INFO - Epoch(val) [60][175/500] eta: 0:00:23 time: 0.0686 data_time: 0.0043 memory: 1522 2022/08/26 17:01:57 - mmengine - INFO - Epoch(val) [60][180/500] eta: 0:00:22 time: 0.0689 data_time: 0.0043 memory: 1522 2022/08/26 17:01:57 - mmengine - INFO - Epoch(val) [60][185/500] eta: 0:00:22 time: 0.0666 data_time: 0.0023 memory: 1320 2022/08/26 17:01:57 - mmengine - INFO - Epoch(val) [60][190/500] eta: 0:00:19 time: 0.0630 data_time: 0.0021 memory: 1370 2022/08/26 17:01:57 - mmengine - INFO - Epoch(val) [60][195/500] eta: 0:00:19 time: 0.0634 data_time: 0.0020 memory: 1354 2022/08/26 17:01:58 - mmengine - INFO - Epoch(val) [60][200/500] eta: 0:00:18 time: 0.0632 data_time: 0.0023 memory: 1354 2022/08/26 17:01:58 - mmengine - INFO - Epoch(val) [60][205/500] eta: 0:00:18 time: 0.0645 data_time: 0.0023 memory: 1320 2022/08/26 17:01:59 - mmengine - INFO - Epoch(val) [60][210/500] eta: 0:00:20 time: 0.0692 data_time: 0.0022 memory: 1522 2022/08/26 17:01:59 - mmengine - INFO - Epoch(val) [60][215/500] eta: 0:00:20 time: 0.0680 data_time: 0.0022 memory: 1320 2022/08/26 17:01:59 - mmengine - INFO - Epoch(val) [60][220/500] eta: 0:00:17 time: 0.0642 data_time: 0.0021 memory: 1387 2022/08/26 17:01:59 - mmengine - INFO - Epoch(val) [60][225/500] eta: 0:00:17 time: 0.0652 data_time: 0.0022 memory: 1522 2022/08/26 17:02:00 - mmengine - INFO - Epoch(val) [60][230/500] eta: 0:00:21 time: 0.0784 data_time: 0.0023 memory: 1320 2022/08/26 17:02:00 - mmengine - INFO - Epoch(val) [60][235/500] eta: 0:00:21 time: 0.0810 data_time: 0.0023 memory: 1522 2022/08/26 17:02:01 - mmengine - INFO - Epoch(val) [60][240/500] eta: 0:00:18 time: 0.0699 data_time: 0.0023 memory: 1522 2022/08/26 17:02:01 - mmengine - INFO - Epoch(val) [60][245/500] eta: 0:00:18 time: 0.0670 data_time: 0.0023 memory: 1522 2022/08/26 17:02:01 - mmengine - INFO - Epoch(val) [60][250/500] eta: 0:00:16 time: 0.0656 data_time: 0.0022 memory: 1320 2022/08/26 17:02:02 - mmengine - INFO - Epoch(val) [60][255/500] eta: 0:00:16 time: 0.1031 data_time: 0.0022 memory: 1337 2022/08/26 17:02:02 - mmengine - INFO - Epoch(val) [60][260/500] eta: 0:00:23 time: 0.0993 data_time: 0.0022 memory: 1320 2022/08/26 17:02:03 - mmengine - INFO - Epoch(val) [60][265/500] eta: 0:00:23 time: 0.0644 data_time: 0.0022 memory: 1472 2022/08/26 17:02:03 - mmengine - INFO - Epoch(val) [60][270/500] eta: 0:00:15 time: 0.0666 data_time: 0.0021 memory: 1438 2022/08/26 17:02:03 - mmengine - INFO - Epoch(val) [60][275/500] eta: 0:00:15 time: 0.0728 data_time: 0.0020 memory: 1506 2022/08/26 17:02:04 - mmengine - INFO - Epoch(val) [60][280/500] eta: 0:00:16 time: 0.0728 data_time: 0.0023 memory: 1489 2022/08/26 17:02:04 - mmengine - INFO - Epoch(val) [60][285/500] eta: 0:00:16 time: 0.0671 data_time: 0.0024 memory: 1320 2022/08/26 17:02:04 - mmengine - INFO - Epoch(val) [60][290/500] eta: 0:00:14 time: 0.0703 data_time: 0.0024 memory: 1522 2022/08/26 17:02:05 - mmengine - INFO - Epoch(val) [60][295/500] eta: 0:00:14 time: 0.0679 data_time: 0.0023 memory: 1370 2022/08/26 17:02:05 - mmengine - INFO - Epoch(val) [60][300/500] eta: 0:00:13 time: 0.0689 data_time: 0.0024 memory: 1320 2022/08/26 17:02:05 - mmengine - INFO - Epoch(val) [60][305/500] eta: 0:00:13 time: 0.0630 data_time: 0.0023 memory: 1303 2022/08/26 17:02:06 - mmengine - INFO - Epoch(val) [60][310/500] eta: 0:00:10 time: 0.0576 data_time: 0.0021 memory: 1354 2022/08/26 17:02:06 - mmengine - INFO - Epoch(val) [60][315/500] eta: 0:00:10 time: 0.0643 data_time: 0.0021 memory: 1472 2022/08/26 17:02:06 - mmengine - INFO - Epoch(val) [60][320/500] eta: 0:00:12 time: 0.0712 data_time: 0.0041 memory: 1472 2022/08/26 17:02:07 - mmengine - INFO - Epoch(val) [60][325/500] eta: 0:00:12 time: 0.0721 data_time: 0.0043 memory: 1522 2022/08/26 17:02:07 - mmengine - INFO - Epoch(val) [60][330/500] eta: 0:00:11 time: 0.0696 data_time: 0.0023 memory: 1320 2022/08/26 17:02:07 - mmengine - INFO - Epoch(val) [60][335/500] eta: 0:00:11 time: 0.0700 data_time: 0.0022 memory: 1438 2022/08/26 17:02:08 - mmengine - INFO - Epoch(val) [60][340/500] eta: 0:00:11 time: 0.0717 data_time: 0.0023 memory: 1506 2022/08/26 17:02:08 - mmengine - INFO - Epoch(val) [60][345/500] eta: 0:00:11 time: 0.0669 data_time: 0.0024 memory: 1438 2022/08/26 17:02:09 - mmengine - INFO - Epoch(val) [60][350/500] eta: 0:00:11 time: 0.0764 data_time: 0.0022 memory: 1320 2022/08/26 17:02:09 - mmengine - INFO - Epoch(val) [60][355/500] eta: 0:00:11 time: 0.0840 data_time: 0.0022 memory: 1506 2022/08/26 17:02:09 - mmengine - INFO - Epoch(val) [60][360/500] eta: 0:00:09 time: 0.0679 data_time: 0.0022 memory: 1337 2022/08/26 17:02:10 - mmengine - INFO - Epoch(val) [60][365/500] eta: 0:00:09 time: 0.0632 data_time: 0.0021 memory: 1252 2022/08/26 17:02:10 - mmengine - INFO - Epoch(val) [60][370/500] eta: 0:00:08 time: 0.0631 data_time: 0.0021 memory: 1387 2022/08/26 17:02:10 - mmengine - INFO - Epoch(val) [60][375/500] eta: 0:00:08 time: 0.0584 data_time: 0.0020 memory: 1320 2022/08/26 17:02:11 - mmengine - INFO - Epoch(val) [60][380/500] eta: 0:00:07 time: 0.0658 data_time: 0.0020 memory: 1506 2022/08/26 17:02:11 - mmengine - INFO - Epoch(val) [60][385/500] eta: 0:00:07 time: 0.0704 data_time: 0.0021 memory: 1489 2022/08/26 17:02:11 - mmengine - INFO - Epoch(val) [60][390/500] eta: 0:00:07 time: 0.0721 data_time: 0.0023 memory: 1522 2022/08/26 17:02:12 - mmengine - INFO - Epoch(val) [60][395/500] eta: 0:00:07 time: 0.1008 data_time: 0.0023 memory: 1320 2022/08/26 17:02:12 - mmengine - INFO - Epoch(val) [60][400/500] eta: 0:00:10 time: 0.1039 data_time: 0.0023 memory: 1506 2022/08/26 17:02:13 - mmengine - INFO - Epoch(val) [60][405/500] eta: 0:00:10 time: 0.0734 data_time: 0.0022 memory: 1489 2022/08/26 17:02:13 - mmengine - INFO - Epoch(val) [60][410/500] eta: 0:00:05 time: 0.0648 data_time: 0.0022 memory: 1387 2022/08/26 17:02:13 - mmengine - INFO - Epoch(val) [60][415/500] eta: 0:00:05 time: 0.0749 data_time: 0.0021 memory: 1320 2022/08/26 17:02:14 - mmengine - INFO - Epoch(val) [60][420/500] eta: 0:00:06 time: 0.0850 data_time: 0.0021 memory: 1489 2022/08/26 17:02:15 - mmengine - INFO - Epoch(val) [60][425/500] eta: 0:00:06 time: 0.1709 data_time: 0.0037 memory: 1320 2022/08/26 17:02:15 - mmengine - INFO - Epoch(val) [60][430/500] eta: 0:00:11 time: 0.1589 data_time: 0.0046 memory: 1522 2022/08/26 17:02:16 - mmengine - INFO - Epoch(val) [60][435/500] eta: 0:00:11 time: 0.0679 data_time: 0.0031 memory: 1320 2022/08/26 17:02:16 - mmengine - INFO - Epoch(val) [60][440/500] eta: 0:00:04 time: 0.0704 data_time: 0.0022 memory: 1404 2022/08/26 17:02:16 - mmengine - INFO - Epoch(val) [60][445/500] eta: 0:00:04 time: 0.0687 data_time: 0.0023 memory: 1472 2022/08/26 17:02:17 - mmengine - INFO - Epoch(val) [60][450/500] eta: 0:00:03 time: 0.0680 data_time: 0.0047 memory: 1320 2022/08/26 17:02:17 - mmengine - INFO - Epoch(val) [60][455/500] eta: 0:00:03 time: 0.0684 data_time: 0.0048 memory: 1522 2022/08/26 17:02:17 - mmengine - INFO - Epoch(val) [60][460/500] eta: 0:00:02 time: 0.0663 data_time: 0.0022 memory: 1354 2022/08/26 17:02:18 - mmengine - INFO - Epoch(val) [60][465/500] eta: 0:00:02 time: 0.0624 data_time: 0.0019 memory: 1454 2022/08/26 17:02:18 - mmengine - INFO - Epoch(val) [60][470/500] eta: 0:00:01 time: 0.0607 data_time: 0.0019 memory: 1354 2022/08/26 17:02:18 - mmengine - INFO - Epoch(val) [60][475/500] eta: 0:00:01 time: 0.0629 data_time: 0.0020 memory: 1522 2022/08/26 17:02:19 - mmengine - INFO - Epoch(val) [60][480/500] eta: 0:00:01 time: 0.0655 data_time: 0.0022 memory: 1489 2022/08/26 17:02:19 - mmengine - INFO - Epoch(val) [60][485/500] eta: 0:00:01 time: 0.0637 data_time: 0.0023 memory: 1320 2022/08/26 17:02:19 - mmengine - INFO - Epoch(val) [60][490/500] eta: 0:00:00 time: 0.0630 data_time: 0.0023 memory: 1454 2022/08/26 17:02:20 - mmengine - INFO - Epoch(val) [60][495/500] eta: 0:00:00 time: 0.0661 data_time: 0.0024 memory: 1522 2022/08/26 17:02:20 - mmengine - INFO - Epoch(val) [60][500/500] eta: 0:00:00 time: 0.0647 data_time: 0.0022 memory: 1320 2022/08/26 17:02:20 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:02:20 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8524, precision: 0.4679, hmean: 0.6041 2022/08/26 17:02:20 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8322, precision: 0.5257, hmean: 0.6443 2022/08/26 17:02:20 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8094, precision: 0.5693, hmean: 0.6685 2022/08/26 17:02:20 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7886, precision: 0.6193, hmean: 0.6937 2022/08/26 17:02:20 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7506, precision: 0.6713, hmean: 0.7087 2022/08/26 17:02:20 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6904, precision: 0.7241, hmean: 0.7068 2022/08/26 17:02:20 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.5558, precision: 0.8035, hmean: 0.6571 2022/08/26 17:02:20 - mmengine - INFO - Epoch(val) [60][500/500] icdar/precision: 0.6713 icdar/recall: 0.7506 icdar/hmean: 0.7087 2022/08/26 17:02:24 - mmengine - INFO - Epoch(train) [61][5/125] lr: 8.0000e-02 eta: 0:00:00 time: 0.5998 data_time: 0.2369 memory: 6205 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0151 loss_cls: 0.1017 acc: 95.8496 loss_bbox: 0.1271 loss_mask: 0.2611 loss: 0.5192 2022/08/26 17:02:25 - mmengine - INFO - Epoch(train) [61][10/125] lr: 8.0000e-02 eta: 1:30:30 time: 0.5280 data_time: 0.2366 memory: 6386 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0141 loss_cls: 0.0999 acc: 95.3125 loss_bbox: 0.1393 loss_mask: 0.2433 loss: 0.5088 2022/08/26 17:02:27 - mmengine - INFO - Epoch(train) [61][15/125] lr: 8.0000e-02 eta: 1:30:30 time: 0.3583 data_time: 0.0901 memory: 6029 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0113 loss_cls: 0.0944 acc: 96.6797 loss_bbox: 0.1317 loss_mask: 0.2480 loss: 0.4961 2022/08/26 17:02:29 - mmengine - INFO - Epoch(train) [61][20/125] lr: 8.0000e-02 eta: 1:30:25 time: 0.4048 data_time: 0.1302 memory: 6412 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0111 loss_cls: 0.0979 acc: 95.3369 loss_bbox: 0.1281 loss_mask: 0.2629 loss: 0.5115 2022/08/26 17:02:31 - mmengine - INFO - Epoch(train) [61][25/125] lr: 8.0000e-02 eta: 1:30:25 time: 0.3885 data_time: 0.1077 memory: 6493 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0135 loss_cls: 0.1115 acc: 95.0684 loss_bbox: 0.1477 loss_mask: 0.2556 loss: 0.5399 2022/08/26 17:02:34 - mmengine - INFO - Epoch(train) [61][30/125] lr: 8.0000e-02 eta: 1:30:20 time: 0.4133 data_time: 0.1140 memory: 7309 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0153 loss_cls: 0.1129 acc: 96.8262 loss_bbox: 0.1537 loss_mask: 0.2405 loss: 0.5336 2022/08/26 17:02:36 - mmengine - INFO - Epoch(train) [61][35/125] lr: 8.0000e-02 eta: 1:30:20 time: 0.5234 data_time: 0.1541 memory: 6375 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0152 loss_cls: 0.1098 acc: 96.7529 loss_bbox: 0.1485 loss_mask: 0.2225 loss: 0.5105 2022/08/26 17:02:38 - mmengine - INFO - Epoch(train) [61][40/125] lr: 8.0000e-02 eta: 1:30:17 time: 0.4770 data_time: 0.1300 memory: 6278 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0125 loss_cls: 0.1085 acc: 95.4102 loss_bbox: 0.1414 loss_mask: 0.2157 loss: 0.4927 2022/08/26 17:02:40 - mmengine - INFO - Epoch(train) [61][45/125] lr: 8.0000e-02 eta: 1:30:17 time: 0.3668 data_time: 0.0924 memory: 6470 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0122 loss_cls: 0.1055 acc: 94.7510 loss_bbox: 0.1415 loss_mask: 0.2315 loss: 0.5012 2022/08/26 17:02:42 - mmengine - INFO - Epoch(train) [61][50/125] lr: 8.0000e-02 eta: 1:30:11 time: 0.3561 data_time: 0.0826 memory: 6575 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0158 loss_cls: 0.1055 acc: 95.9473 loss_bbox: 0.1481 loss_mask: 0.2433 loss: 0.5225 2022/08/26 17:02:44 - mmengine - INFO - Epoch(train) [61][55/125] lr: 8.0000e-02 eta: 1:30:11 time: 0.3802 data_time: 0.1079 memory: 6295 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0164 loss_cls: 0.1107 acc: 95.5078 loss_bbox: 0.1507 loss_mask: 0.2312 loss: 0.5194 2022/08/26 17:02:46 - mmengine - INFO - Epoch(train) [61][60/125] lr: 8.0000e-02 eta: 1:30:06 time: 0.3825 data_time: 0.1086 memory: 6538 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0156 loss_cls: 0.1210 acc: 96.1426 loss_bbox: 0.1558 loss_mask: 0.2239 loss: 0.5270 2022/08/26 17:02:48 - mmengine - INFO - Epoch(train) [61][65/125] lr: 8.0000e-02 eta: 1:30:06 time: 0.3710 data_time: 0.0994 memory: 6041 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0146 loss_cls: 0.1119 acc: 97.3145 loss_bbox: 0.1418 loss_mask: 0.2402 loss: 0.5197 2022/08/26 17:02:49 - mmengine - INFO - Epoch(train) [61][70/125] lr: 8.0000e-02 eta: 1:30:00 time: 0.3696 data_time: 0.0998 memory: 6555 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0126 loss_cls: 0.1018 acc: 97.0947 loss_bbox: 0.1286 loss_mask: 0.2468 loss: 0.4994 2022/08/26 17:02:51 - mmengine - INFO - Epoch(train) [61][75/125] lr: 8.0000e-02 eta: 1:30:00 time: 0.3609 data_time: 0.0888 memory: 6565 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0118 loss_cls: 0.1173 acc: 94.9951 loss_bbox: 0.1494 loss_mask: 0.2476 loss: 0.5361 2022/08/26 17:02:53 - mmengine - INFO - Epoch(train) [61][80/125] lr: 8.0000e-02 eta: 1:29:55 time: 0.3954 data_time: 0.0886 memory: 6542 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0161 loss_cls: 0.1171 acc: 93.5303 loss_bbox: 0.1524 loss_mask: 0.2380 loss: 0.5342 2022/08/26 17:02:56 - mmengine - INFO - Epoch(train) [61][85/125] lr: 8.0000e-02 eta: 1:29:55 time: 0.4856 data_time: 0.1119 memory: 6519 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0156 loss_cls: 0.1101 acc: 95.1416 loss_bbox: 0.1479 loss_mask: 0.2265 loss: 0.5104 2022/08/26 17:02:58 - mmengine - INFO - Epoch(train) [61][90/125] lr: 8.0000e-02 eta: 1:29:51 time: 0.4420 data_time: 0.1061 memory: 6187 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0102 loss_cls: 0.0984 acc: 95.7031 loss_bbox: 0.1339 loss_mask: 0.2482 loss: 0.5021 2022/08/26 17:03:00 - mmengine - INFO - Epoch(train) [61][95/125] lr: 8.0000e-02 eta: 1:29:51 time: 0.3518 data_time: 0.0862 memory: 5967 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0100 loss_cls: 0.0983 acc: 97.1680 loss_bbox: 0.1262 loss_mask: 0.2537 loss: 0.4990 2022/08/26 17:03:02 - mmengine - INFO - Epoch(train) [61][100/125] lr: 8.0000e-02 eta: 1:29:47 time: 0.4612 data_time: 0.1951 memory: 6222 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0112 loss_cls: 0.1039 acc: 95.0684 loss_bbox: 0.1329 loss_mask: 0.2438 loss: 0.5022 2022/08/26 17:03:04 - mmengine - INFO - Epoch(train) [61][105/125] lr: 8.0000e-02 eta: 1:29:47 time: 0.4293 data_time: 0.1635 memory: 6252 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0116 loss_cls: 0.0971 acc: 97.1436 loss_bbox: 0.1332 loss_mask: 0.2435 loss: 0.4952 2022/08/26 17:03:06 - mmengine - INFO - Epoch(train) [61][110/125] lr: 8.0000e-02 eta: 1:29:41 time: 0.3219 data_time: 0.0442 memory: 6722 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0138 loss_cls: 0.0963 acc: 96.5576 loss_bbox: 0.1424 loss_mask: 0.2391 loss: 0.5008 2022/08/26 17:03:08 - mmengine - INFO - Epoch(train) [61][115/125] lr: 8.0000e-02 eta: 1:29:41 time: 0.3979 data_time: 0.1195 memory: 6327 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0148 loss_cls: 0.0959 acc: 96.0938 loss_bbox: 0.1395 loss_mask: 0.2289 loss: 0.4896 2022/08/26 17:03:09 - mmengine - INFO - Epoch(train) [61][120/125] lr: 8.0000e-02 eta: 1:29:36 time: 0.3889 data_time: 0.1152 memory: 6196 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0147 loss_cls: 0.1056 acc: 95.5811 loss_bbox: 0.1399 loss_mask: 0.2352 loss: 0.5064 2022/08/26 17:03:11 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:03:11 - mmengine - INFO - Epoch(train) [61][125/125] lr: 8.0000e-02 eta: 1:29:36 time: 0.3141 data_time: 0.0375 memory: 6064 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0162 loss_cls: 0.1032 acc: 96.7529 loss_bbox: 0.1401 loss_mask: 0.2467 loss: 0.5189 2022/08/26 17:03:14 - mmengine - INFO - Epoch(train) [62][5/125] lr: 8.0000e-02 eta: 1:29:36 time: 0.4613 data_time: 0.1780 memory: 6529 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0134 loss_cls: 0.0973 acc: 98.4375 loss_bbox: 0.1341 loss_mask: 0.2466 loss: 0.5040 2022/08/26 17:03:16 - mmengine - INFO - Epoch(train) [62][10/125] lr: 8.0000e-02 eta: 1:29:27 time: 0.5202 data_time: 0.2255 memory: 6313 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0104 loss_cls: 0.0991 acc: 96.2646 loss_bbox: 0.1319 loss_mask: 0.2420 loss: 0.4944 2022/08/26 17:03:19 - mmengine - INFO - Epoch(train) [62][15/125] lr: 8.0000e-02 eta: 1:29:27 time: 0.4333 data_time: 0.1506 memory: 6262 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0108 loss_cls: 0.1023 acc: 95.8008 loss_bbox: 0.1307 loss_mask: 0.2284 loss: 0.4844 2022/08/26 17:03:20 - mmengine - INFO - Epoch(train) [62][20/125] lr: 8.0000e-02 eta: 1:29:22 time: 0.3801 data_time: 0.1077 memory: 6649 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0143 loss_cls: 0.1046 acc: 97.3145 loss_bbox: 0.1416 loss_mask: 0.2290 loss: 0.5006 2022/08/26 17:03:22 - mmengine - INFO - Epoch(train) [62][25/125] lr: 8.0000e-02 eta: 1:29:22 time: 0.3320 data_time: 0.0628 memory: 6107 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0121 loss_cls: 0.1003 acc: 96.2402 loss_bbox: 0.1376 loss_mask: 0.2361 loss: 0.4949 2022/08/26 17:03:24 - mmengine - INFO - Epoch(train) [62][30/125] lr: 8.0000e-02 eta: 1:29:16 time: 0.3433 data_time: 0.0691 memory: 6597 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0119 loss_cls: 0.1020 acc: 97.8271 loss_bbox: 0.1383 loss_mask: 0.2257 loss: 0.4867 2022/08/26 17:03:26 - mmengine - INFO - Epoch(train) [62][35/125] lr: 8.0000e-02 eta: 1:29:16 time: 0.4514 data_time: 0.0750 memory: 6688 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0155 loss_cls: 0.1071 acc: 93.1152 loss_bbox: 0.1481 loss_mask: 0.2342 loss: 0.5143 2022/08/26 17:03:28 - mmengine - INFO - Epoch(train) [62][40/125] lr: 8.0000e-02 eta: 1:29:13 time: 0.4840 data_time: 0.1060 memory: 6226 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0117 loss_cls: 0.0984 acc: 99.0967 loss_bbox: 0.1248 loss_mask: 0.2434 loss: 0.4878 2022/08/26 17:03:30 - mmengine - INFO - Epoch(train) [62][45/125] lr: 8.0000e-02 eta: 1:29:13 time: 0.4017 data_time: 0.1184 memory: 6446 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0105 loss_cls: 0.0966 acc: 95.6543 loss_bbox: 0.1285 loss_mask: 0.2371 loss: 0.4845 2022/08/26 17:03:32 - mmengine - INFO - Epoch(train) [62][50/125] lr: 8.0000e-02 eta: 1:29:08 time: 0.3871 data_time: 0.1063 memory: 6294 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0140 loss_cls: 0.1074 acc: 96.1426 loss_bbox: 0.1449 loss_mask: 0.2449 loss: 0.5258 2022/08/26 17:03:34 - mmengine - INFO - Epoch(train) [62][55/125] lr: 8.0000e-02 eta: 1:29:08 time: 0.3674 data_time: 0.0782 memory: 6213 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0151 loss_cls: 0.1102 acc: 94.7510 loss_bbox: 0.1373 loss_mask: 0.2538 loss: 0.5306 2022/08/26 17:03:36 - mmengine - INFO - Epoch(train) [62][60/125] lr: 8.0000e-02 eta: 1:29:02 time: 0.3691 data_time: 0.0850 memory: 6278 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0132 loss_cls: 0.1019 acc: 97.1680 loss_bbox: 0.1294 loss_mask: 0.2428 loss: 0.4985 2022/08/26 17:03:38 - mmengine - INFO - Epoch(train) [62][65/125] lr: 8.0000e-02 eta: 1:29:02 time: 0.3984 data_time: 0.1259 memory: 6473 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0135 loss_cls: 0.0969 acc: 93.3105 loss_bbox: 0.1308 loss_mask: 0.2356 loss: 0.4886 2022/08/26 17:03:40 - mmengine - INFO - Epoch(train) [62][70/125] lr: 8.0000e-02 eta: 1:28:58 time: 0.4189 data_time: 0.1464 memory: 6075 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0134 loss_cls: 0.1087 acc: 95.7031 loss_bbox: 0.1426 loss_mask: 0.2402 loss: 0.5196 2022/08/26 17:03:42 - mmengine - INFO - Epoch(train) [62][75/125] lr: 8.0000e-02 eta: 1:28:58 time: 0.4085 data_time: 0.1311 memory: 7055 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0146 loss_cls: 0.1137 acc: 94.9219 loss_bbox: 0.1483 loss_mask: 0.2306 loss: 0.5200 2022/08/26 17:03:45 - mmengine - INFO - Epoch(train) [62][80/125] lr: 8.0000e-02 eta: 1:28:54 time: 0.4565 data_time: 0.1007 memory: 6386 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0177 loss_cls: 0.1036 acc: 96.1182 loss_bbox: 0.1433 loss_mask: 0.2167 loss: 0.4918 2022/08/26 17:03:47 - mmengine - INFO - Epoch(train) [62][85/125] lr: 8.0000e-02 eta: 1:28:54 time: 0.4442 data_time: 0.0968 memory: 6304 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0169 loss_cls: 0.0999 acc: 97.9004 loss_bbox: 0.1354 loss_mask: 0.2120 loss: 0.4786 2022/08/26 17:03:48 - mmengine - INFO - Epoch(train) [62][90/125] lr: 8.0000e-02 eta: 1:28:48 time: 0.3696 data_time: 0.0996 memory: 6463 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0166 loss_cls: 0.1108 acc: 96.1426 loss_bbox: 0.1395 loss_mask: 0.2456 loss: 0.5289 2022/08/26 17:03:50 - mmengine - INFO - Epoch(train) [62][95/125] lr: 8.0000e-02 eta: 1:28:48 time: 0.3925 data_time: 0.1240 memory: 6095 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0158 loss_cls: 0.0988 acc: 97.5098 loss_bbox: 0.1247 loss_mask: 0.2488 loss: 0.5006 2022/08/26 17:03:52 - mmengine - INFO - Epoch(train) [62][100/125] lr: 8.0000e-02 eta: 1:28:44 time: 0.4015 data_time: 0.1302 memory: 6434 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0152 loss_cls: 0.0896 acc: 96.9238 loss_bbox: 0.1182 loss_mask: 0.2259 loss: 0.4600 2022/08/26 17:03:55 - mmengine - INFO - Epoch(train) [62][105/125] lr: 8.0000e-02 eta: 1:28:44 time: 0.4381 data_time: 0.1213 memory: 6274 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0191 loss_cls: 0.1059 acc: 95.7764 loss_bbox: 0.1397 loss_mask: 0.2554 loss: 0.5323 2022/08/26 17:03:57 - mmengine - INFO - Epoch(train) [62][110/125] lr: 8.0000e-02 eta: 1:28:39 time: 0.4400 data_time: 0.1159 memory: 6116 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0177 loss_cls: 0.1075 acc: 96.8750 loss_bbox: 0.1339 loss_mask: 0.2524 loss: 0.5236 2022/08/26 17:03:59 - mmengine - INFO - Epoch(train) [62][115/125] lr: 8.0000e-02 eta: 1:28:39 time: 0.3975 data_time: 0.1158 memory: 6287 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0143 loss_cls: 0.0995 acc: 97.9980 loss_bbox: 0.1183 loss_mask: 0.2503 loss: 0.4958 2022/08/26 17:04:01 - mmengine - INFO - Epoch(train) [62][120/125] lr: 8.0000e-02 eta: 1:28:34 time: 0.3867 data_time: 0.1152 memory: 6320 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0158 loss_cls: 0.1009 acc: 96.1670 loss_bbox: 0.1254 loss_mask: 0.2597 loss: 0.5186 2022/08/26 17:04:03 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:04:03 - mmengine - INFO - Epoch(train) [62][125/125] lr: 8.0000e-02 eta: 1:28:34 time: 0.4018 data_time: 0.1292 memory: 6633 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0168 loss_cls: 0.1062 acc: 96.6309 loss_bbox: 0.1366 loss_mask: 0.2446 loss: 0.5184 2022/08/26 17:04:06 - mmengine - INFO - Epoch(train) [63][5/125] lr: 8.0000e-02 eta: 1:28:34 time: 0.5311 data_time: 0.2498 memory: 6258 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0139 loss_cls: 0.1075 acc: 96.9727 loss_bbox: 0.1499 loss_mask: 0.2494 loss: 0.5313 2022/08/26 17:04:08 - mmengine - INFO - Epoch(train) [63][10/125] lr: 8.0000e-02 eta: 1:28:25 time: 0.4868 data_time: 0.1995 memory: 6235 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0116 loss_cls: 0.1005 acc: 97.2412 loss_bbox: 0.1437 loss_mask: 0.2420 loss: 0.5083 2022/08/26 17:04:10 - mmengine - INFO - Epoch(train) [63][15/125] lr: 8.0000e-02 eta: 1:28:25 time: 0.3487 data_time: 0.0689 memory: 6639 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0152 loss_cls: 0.0990 acc: 96.9238 loss_bbox: 0.1440 loss_mask: 0.2117 loss: 0.4812 2022/08/26 17:04:12 - mmengine - INFO - Epoch(train) [63][20/125] lr: 8.0000e-02 eta: 1:28:20 time: 0.3668 data_time: 0.0931 memory: 6476 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0153 loss_cls: 0.1101 acc: 95.4590 loss_bbox: 0.1579 loss_mask: 0.2198 loss: 0.5135 2022/08/26 17:04:14 - mmengine - INFO - Epoch(train) [63][25/125] lr: 8.0000e-02 eta: 1:28:20 time: 0.4055 data_time: 0.1289 memory: 6541 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0125 loss_cls: 0.1179 acc: 95.1416 loss_bbox: 0.1620 loss_mask: 0.2404 loss: 0.5429 2022/08/26 17:04:16 - mmengine - INFO - Epoch(train) [63][30/125] lr: 8.0000e-02 eta: 1:28:16 time: 0.4584 data_time: 0.1556 memory: 6609 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0166 loss_cls: 0.1123 acc: 96.5820 loss_bbox: 0.1626 loss_mask: 0.2470 loss: 0.5548 2022/08/26 17:04:18 - mmengine - INFO - Epoch(train) [63][35/125] lr: 8.0000e-02 eta: 1:28:16 time: 0.4206 data_time: 0.1205 memory: 6375 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0182 loss_cls: 0.1071 acc: 97.1680 loss_bbox: 0.1503 loss_mask: 0.2517 loss: 0.5427 2022/08/26 17:04:19 - mmengine - INFO - Epoch(train) [63][40/125] lr: 8.0000e-02 eta: 1:28:10 time: 0.3355 data_time: 0.0580 memory: 6665 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0123 loss_cls: 0.1031 acc: 97.2412 loss_bbox: 0.1439 loss_mask: 0.2348 loss: 0.5040 2022/08/26 17:04:21 - mmengine - INFO - Epoch(train) [63][45/125] lr: 8.0000e-02 eta: 1:28:10 time: 0.3184 data_time: 0.0421 memory: 6118 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0095 loss_cls: 0.0887 acc: 97.2656 loss_bbox: 0.1236 loss_mask: 0.2300 loss: 0.4614 2022/08/26 17:04:23 - mmengine - INFO - Epoch(train) [63][50/125] lr: 8.0000e-02 eta: 1:28:05 time: 0.3695 data_time: 0.0909 memory: 6447 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0111 loss_cls: 0.0924 acc: 94.7510 loss_bbox: 0.1264 loss_mask: 0.2416 loss: 0.4823 2022/08/26 17:04:26 - mmengine - INFO - Epoch(train) [63][55/125] lr: 8.0000e-02 eta: 1:28:05 time: 0.4425 data_time: 0.1193 memory: 6026 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0140 loss_cls: 0.0982 acc: 96.2402 loss_bbox: 0.1286 loss_mask: 0.2321 loss: 0.4839 2022/08/26 17:04:27 - mmengine - INFO - Epoch(train) [63][60/125] lr: 8.0000e-02 eta: 1:28:00 time: 0.4106 data_time: 0.0867 memory: 5999 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0207 loss_cls: 0.0913 acc: 97.2412 loss_bbox: 0.1131 loss_mask: 0.2188 loss: 0.4549 2022/08/26 17:04:29 - mmengine - INFO - Epoch(train) [63][65/125] lr: 8.0000e-02 eta: 1:28:00 time: 0.3590 data_time: 0.0814 memory: 6321 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0191 loss_cls: 0.0843 acc: 96.1670 loss_bbox: 0.1226 loss_mask: 0.2184 loss: 0.4560 2022/08/26 17:04:31 - mmengine - INFO - Epoch(train) [63][70/125] lr: 8.0000e-02 eta: 1:27:55 time: 0.3662 data_time: 0.0934 memory: 6347 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0142 loss_cls: 0.0936 acc: 95.0439 loss_bbox: 0.1430 loss_mask: 0.2227 loss: 0.4867 2022/08/26 17:04:33 - mmengine - INFO - Epoch(train) [63][75/125] lr: 8.0000e-02 eta: 1:27:55 time: 0.3494 data_time: 0.0778 memory: 6239 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0168 loss_cls: 0.1028 acc: 97.0703 loss_bbox: 0.1459 loss_mask: 0.2231 loss: 0.5005 2022/08/26 17:04:35 - mmengine - INFO - Epoch(train) [63][80/125] lr: 8.0000e-02 eta: 1:27:50 time: 0.3904 data_time: 0.0902 memory: 6167 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0144 loss_cls: 0.0984 acc: 96.2646 loss_bbox: 0.1359 loss_mask: 0.2269 loss: 0.4860 2022/08/26 17:04:37 - mmengine - INFO - Epoch(train) [63][85/125] lr: 8.0000e-02 eta: 1:27:50 time: 0.4154 data_time: 0.1103 memory: 6450 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0159 loss_cls: 0.1087 acc: 97.2900 loss_bbox: 0.1516 loss_mask: 0.2511 loss: 0.5402 2022/08/26 17:04:39 - mmengine - INFO - Epoch(train) [63][90/125] lr: 8.0000e-02 eta: 1:27:44 time: 0.3672 data_time: 0.0871 memory: 6264 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0204 loss_cls: 0.1118 acc: 96.3623 loss_bbox: 0.1537 loss_mask: 0.2524 loss: 0.5529 2022/08/26 17:04:41 - mmengine - INFO - Epoch(train) [63][95/125] lr: 8.0000e-02 eta: 1:27:44 time: 0.4002 data_time: 0.0775 memory: 6796 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0170 loss_cls: 0.1251 acc: 94.4824 loss_bbox: 0.1683 loss_mask: 0.2602 loss: 0.5858 2022/08/26 17:04:43 - mmengine - INFO - Epoch(train) [63][100/125] lr: 8.0000e-02 eta: 1:27:40 time: 0.4425 data_time: 0.1017 memory: 7530 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0157 loss_cls: 0.1285 acc: 94.2139 loss_bbox: 0.1630 loss_mask: 0.2605 loss: 0.5817 2022/08/26 17:04:45 - mmengine - INFO - Epoch(train) [63][105/125] lr: 8.0000e-02 eta: 1:27:40 time: 0.4019 data_time: 0.1050 memory: 6268 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0158 loss_cls: 0.1076 acc: 96.2158 loss_bbox: 0.1357 loss_mask: 0.2317 loss: 0.5017 2022/08/26 17:04:48 - mmengine - INFO - Epoch(train) [63][110/125] lr: 8.0000e-02 eta: 1:27:36 time: 0.4710 data_time: 0.1939 memory: 6474 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0127 loss_cls: 0.1124 acc: 94.9707 loss_bbox: 0.1442 loss_mask: 0.2281 loss: 0.5087 2022/08/26 17:04:50 - mmengine - INFO - Epoch(train) [63][115/125] lr: 8.0000e-02 eta: 1:27:36 time: 0.5081 data_time: 0.2218 memory: 6177 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0108 loss_cls: 0.1132 acc: 96.5576 loss_bbox: 0.1469 loss_mask: 0.2272 loss: 0.5120 2022/08/26 17:04:52 - mmengine - INFO - Epoch(train) [63][120/125] lr: 8.0000e-02 eta: 1:27:31 time: 0.3859 data_time: 0.0997 memory: 6321 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0106 loss_cls: 0.1050 acc: 96.2646 loss_bbox: 0.1347 loss_mask: 0.2343 loss: 0.4976 2022/08/26 17:04:53 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:04:53 - mmengine - INFO - Epoch(train) [63][125/125] lr: 8.0000e-02 eta: 1:27:31 time: 0.3230 data_time: 0.0442 memory: 6492 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0129 loss_cls: 0.1010 acc: 96.9727 loss_bbox: 0.1389 loss_mask: 0.2317 loss: 0.4948 2022/08/26 17:04:58 - mmengine - INFO - Epoch(train) [64][5/125] lr: 8.0000e-02 eta: 1:27:31 time: 0.5801 data_time: 0.2042 memory: 6363 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0139 loss_cls: 0.0999 acc: 96.4600 loss_bbox: 0.1501 loss_mask: 0.2273 loss: 0.5017 2022/08/26 17:04:59 - mmengine - INFO - Epoch(train) [64][10/125] lr: 8.0000e-02 eta: 1:27:24 time: 0.5920 data_time: 0.2190 memory: 6506 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0121 loss_cls: 0.1064 acc: 95.1660 loss_bbox: 0.1509 loss_mask: 0.2406 loss: 0.5206 2022/08/26 17:05:01 - mmengine - INFO - Epoch(train) [64][15/125] lr: 8.0000e-02 eta: 1:27:24 time: 0.3378 data_time: 0.0638 memory: 6760 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0127 loss_cls: 0.1199 acc: 95.8740 loss_bbox: 0.1663 loss_mask: 0.2418 loss: 0.5524 2022/08/26 17:05:03 - mmengine - INFO - Epoch(train) [64][20/125] lr: 8.0000e-02 eta: 1:27:18 time: 0.3558 data_time: 0.0815 memory: 6416 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0135 loss_cls: 0.1269 acc: 95.9717 loss_bbox: 0.1769 loss_mask: 0.2555 loss: 0.5881 2022/08/26 17:05:07 - mmengine - INFO - Epoch(train) [64][25/125] lr: 8.0000e-02 eta: 1:27:18 time: 0.6041 data_time: 0.2991 memory: 6297 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0124 loss_cls: 0.1101 acc: 95.0684 loss_bbox: 0.1528 loss_mask: 0.2493 loss: 0.5378 2022/08/26 17:05:09 - mmengine - INFO - Epoch(train) [64][30/125] lr: 8.0000e-02 eta: 1:27:16 time: 0.5879 data_time: 0.2787 memory: 6480 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0116 loss_cls: 0.1005 acc: 95.7764 loss_bbox: 0.1412 loss_mask: 0.2254 loss: 0.4881 2022/08/26 17:05:11 - mmengine - INFO - Epoch(train) [64][35/125] lr: 8.0000e-02 eta: 1:27:16 time: 0.3679 data_time: 0.0608 memory: 7721 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0156 loss_cls: 0.1052 acc: 96.1670 loss_bbox: 0.1480 loss_mask: 0.2224 loss: 0.5001 2022/08/26 17:05:13 - mmengine - INFO - Epoch(train) [64][40/125] lr: 8.0000e-02 eta: 1:27:11 time: 0.3666 data_time: 0.0604 memory: 6339 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0161 loss_cls: 0.1091 acc: 95.1416 loss_bbox: 0.1451 loss_mask: 0.2244 loss: 0.5061 2022/08/26 17:05:15 - mmengine - INFO - Epoch(train) [64][45/125] lr: 8.0000e-02 eta: 1:27:11 time: 0.3884 data_time: 0.0621 memory: 6529 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0133 loss_cls: 0.1085 acc: 97.1191 loss_bbox: 0.1342 loss_mask: 0.2274 loss: 0.4980 2022/08/26 17:05:17 - mmengine - INFO - Epoch(train) [64][50/125] lr: 8.0000e-02 eta: 1:27:06 time: 0.4142 data_time: 0.0964 memory: 6107 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0134 loss_cls: 0.0931 acc: 98.3643 loss_bbox: 0.1146 loss_mask: 0.2445 loss: 0.4790 2022/08/26 17:05:19 - mmengine - INFO - Epoch(train) [64][55/125] lr: 8.0000e-02 eta: 1:27:06 time: 0.3799 data_time: 0.1159 memory: 6116 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0117 loss_cls: 0.0787 acc: 97.3877 loss_bbox: 0.1016 loss_mask: 0.2453 loss: 0.4478 2022/08/26 17:05:20 - mmengine - INFO - Epoch(train) [64][60/125] lr: 8.0000e-02 eta: 1:27:01 time: 0.3738 data_time: 0.1064 memory: 6304 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0129 loss_cls: 0.0888 acc: 95.8008 loss_bbox: 0.1212 loss_mask: 0.2391 loss: 0.4735 2022/08/26 17:05:22 - mmengine - INFO - Epoch(train) [64][65/125] lr: 8.0000e-02 eta: 1:27:01 time: 0.3764 data_time: 0.1003 memory: 6542 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0152 loss_cls: 0.1070 acc: 95.6299 loss_bbox: 0.1550 loss_mask: 0.2428 loss: 0.5305 2022/08/26 17:05:25 - mmengine - INFO - Epoch(train) [64][70/125] lr: 8.0000e-02 eta: 1:26:57 time: 0.4208 data_time: 0.0952 memory: 6385 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0154 loss_cls: 0.1027 acc: 97.3389 loss_bbox: 0.1514 loss_mask: 0.2258 loss: 0.5044 2022/08/26 17:05:27 - mmengine - INFO - Epoch(train) [64][75/125] lr: 8.0000e-02 eta: 1:26:57 time: 0.4246 data_time: 0.0995 memory: 6712 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0158 loss_cls: 0.0955 acc: 97.1191 loss_bbox: 0.1481 loss_mask: 0.2169 loss: 0.4870 2022/08/26 17:05:29 - mmengine - INFO - Epoch(train) [64][80/125] lr: 8.0000e-02 eta: 1:26:52 time: 0.4162 data_time: 0.1213 memory: 7457 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0140 loss_cls: 0.1000 acc: 97.0703 loss_bbox: 0.1431 loss_mask: 0.2151 loss: 0.4844 2022/08/26 17:05:31 - mmengine - INFO - Epoch(train) [64][85/125] lr: 8.0000e-02 eta: 1:26:52 time: 0.4071 data_time: 0.1195 memory: 6170 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0133 loss_cls: 0.1029 acc: 94.9951 loss_bbox: 0.1414 loss_mask: 0.2297 loss: 0.4984 2022/08/26 17:05:32 - mmengine - INFO - Epoch(train) [64][90/125] lr: 8.0000e-02 eta: 1:26:47 time: 0.3473 data_time: 0.0785 memory: 6151 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0127 loss_cls: 0.0998 acc: 97.2656 loss_bbox: 0.1415 loss_mask: 0.2403 loss: 0.5051 2022/08/26 17:05:35 - mmengine - INFO - Epoch(train) [64][95/125] lr: 8.0000e-02 eta: 1:26:47 time: 0.4172 data_time: 0.1288 memory: 6379 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0108 loss_cls: 0.1000 acc: 96.3867 loss_bbox: 0.1306 loss_mask: 0.2361 loss: 0.4872 2022/08/26 17:05:37 - mmengine - INFO - Epoch(train) [64][100/125] lr: 8.0000e-02 eta: 1:26:42 time: 0.4204 data_time: 0.1281 memory: 6386 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0098 loss_cls: 0.1124 acc: 95.1416 loss_bbox: 0.1439 loss_mask: 0.2411 loss: 0.5170 2022/08/26 17:05:38 - mmengine - INFO - Epoch(train) [64][105/125] lr: 8.0000e-02 eta: 1:26:42 time: 0.3417 data_time: 0.0619 memory: 6154 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0147 loss_cls: 0.1061 acc: 96.8750 loss_bbox: 0.1426 loss_mask: 0.2378 loss: 0.5124 2022/08/26 17:05:40 - mmengine - INFO - Epoch(train) [64][110/125] lr: 8.0000e-02 eta: 1:26:37 time: 0.3875 data_time: 0.1035 memory: 6542 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0192 loss_cls: 0.1021 acc: 96.2891 loss_bbox: 0.1445 loss_mask: 0.2318 loss: 0.5107 2022/08/26 17:05:42 - mmengine - INFO - Epoch(train) [64][115/125] lr: 8.0000e-02 eta: 1:26:37 time: 0.4033 data_time: 0.1211 memory: 6249 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0176 loss_cls: 0.1043 acc: 94.6777 loss_bbox: 0.1519 loss_mask: 0.2427 loss: 0.5304 2022/08/26 17:05:46 - mmengine - INFO - Epoch(train) [64][120/125] lr: 8.0000e-02 eta: 1:26:35 time: 0.5593 data_time: 0.1553 memory: 6594 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0207 loss_cls: 0.1063 acc: 95.9473 loss_bbox: 0.1570 loss_mask: 0.2587 loss: 0.5575 2022/08/26 17:05:48 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:05:48 - mmengine - INFO - Epoch(train) [64][125/125] lr: 8.0000e-02 eta: 1:26:35 time: 0.5433 data_time: 0.1317 memory: 6431 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0198 loss_cls: 0.1127 acc: 95.3369 loss_bbox: 0.1660 loss_mask: 0.2519 loss: 0.5642 2022/08/26 17:05:52 - mmengine - INFO - Epoch(train) [65][5/125] lr: 8.0000e-02 eta: 1:26:35 time: 0.5504 data_time: 0.2645 memory: 6379 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0156 loss_cls: 0.1050 acc: 94.5312 loss_bbox: 0.1530 loss_mask: 0.2472 loss: 0.5305 2022/08/26 17:05:54 - mmengine - INFO - Epoch(train) [65][10/125] lr: 8.0000e-02 eta: 1:26:27 time: 0.5715 data_time: 0.2919 memory: 6128 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0133 loss_cls: 0.0978 acc: 95.6055 loss_bbox: 0.1351 loss_mask: 0.2482 loss: 0.5025 2022/08/26 17:05:55 - mmengine - INFO - Epoch(train) [65][15/125] lr: 8.0000e-02 eta: 1:26:27 time: 0.3633 data_time: 0.0728 memory: 6344 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0092 loss_cls: 0.0884 acc: 96.7285 loss_bbox: 0.1146 loss_mask: 0.2387 loss: 0.4581 2022/08/26 17:05:57 - mmengine - INFO - Epoch(train) [65][20/125] lr: 8.0000e-02 eta: 1:26:21 time: 0.3395 data_time: 0.0469 memory: 6258 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0095 loss_cls: 0.0937 acc: 94.1406 loss_bbox: 0.1247 loss_mask: 0.2312 loss: 0.4674 2022/08/26 17:05:59 - mmengine - INFO - Epoch(train) [65][25/125] lr: 8.0000e-02 eta: 1:26:21 time: 0.3460 data_time: 0.0567 memory: 6266 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0117 loss_cls: 0.0938 acc: 98.2178 loss_bbox: 0.1229 loss_mask: 0.2191 loss: 0.4564 2022/08/26 17:06:00 - mmengine - INFO - Epoch(train) [65][30/125] lr: 8.0000e-02 eta: 1:26:16 time: 0.3444 data_time: 0.0594 memory: 6591 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0129 loss_cls: 0.0913 acc: 95.9717 loss_bbox: 0.1199 loss_mask: 0.2327 loss: 0.4650 2022/08/26 17:06:02 - mmengine - INFO - Epoch(train) [65][35/125] lr: 8.0000e-02 eta: 1:26:16 time: 0.3378 data_time: 0.0615 memory: 6392 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0143 loss_cls: 0.1096 acc: 94.7998 loss_bbox: 0.1583 loss_mask: 0.2548 loss: 0.5463 2022/08/26 17:06:06 - mmengine - INFO - Epoch(train) [65][40/125] lr: 8.0000e-02 eta: 1:26:14 time: 0.5876 data_time: 0.2757 memory: 6473 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0139 loss_cls: 0.1115 acc: 96.2646 loss_bbox: 0.1634 loss_mask: 0.2417 loss: 0.5398 2022/08/26 17:06:08 - mmengine - INFO - Epoch(train) [65][45/125] lr: 8.0000e-02 eta: 1:26:14 time: 0.5764 data_time: 0.2675 memory: 6229 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0117 loss_cls: 0.1029 acc: 96.3867 loss_bbox: 0.1460 loss_mask: 0.2256 loss: 0.4940 2022/08/26 17:06:10 - mmengine - INFO - Epoch(train) [65][50/125] lr: 8.0000e-02 eta: 1:26:08 time: 0.3784 data_time: 0.1057 memory: 6422 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0128 loss_cls: 0.1009 acc: 95.6055 loss_bbox: 0.1398 loss_mask: 0.2257 loss: 0.4875 2022/08/26 17:06:12 - mmengine - INFO - Epoch(train) [65][55/125] lr: 8.0000e-02 eta: 1:26:08 time: 0.3792 data_time: 0.1013 memory: 6114 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0161 loss_cls: 0.1046 acc: 96.0205 loss_bbox: 0.1398 loss_mask: 0.2402 loss: 0.5102 2022/08/26 17:06:13 - mmengine - INFO - Epoch(train) [65][60/125] lr: 8.0000e-02 eta: 1:26:03 time: 0.3258 data_time: 0.0449 memory: 6564 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0188 loss_cls: 0.1109 acc: 96.4844 loss_bbox: 0.1428 loss_mask: 0.2390 loss: 0.5229 2022/08/26 17:06:16 - mmengine - INFO - Epoch(train) [65][65/125] lr: 8.0000e-02 eta: 1:26:03 time: 0.4267 data_time: 0.1094 memory: 6705 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0178 loss_cls: 0.1278 acc: 96.8994 loss_bbox: 0.1709 loss_mask: 0.2308 loss: 0.5603 2022/08/26 17:06:18 - mmengine - INFO - Epoch(train) [65][70/125] lr: 8.0000e-02 eta: 1:25:59 time: 0.4751 data_time: 0.1595 memory: 6594 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0149 loss_cls: 0.1261 acc: 95.6787 loss_bbox: 0.1759 loss_mask: 0.2253 loss: 0.5531 2022/08/26 17:06:20 - mmengine - INFO - Epoch(train) [65][75/125] lr: 8.0000e-02 eta: 1:25:59 time: 0.3783 data_time: 0.1027 memory: 6304 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0131 loss_cls: 0.1092 acc: 97.3145 loss_bbox: 0.1496 loss_mask: 0.2348 loss: 0.5155 2022/08/26 17:06:21 - mmengine - INFO - Epoch(train) [65][80/125] lr: 8.0000e-02 eta: 1:25:53 time: 0.3284 data_time: 0.0596 memory: 6301 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0121 loss_cls: 0.1072 acc: 96.6309 loss_bbox: 0.1361 loss_mask: 0.2402 loss: 0.5075 2022/08/26 17:06:23 - mmengine - INFO - Epoch(train) [65][85/125] lr: 8.0000e-02 eta: 1:25:53 time: 0.3410 data_time: 0.0731 memory: 6375 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0119 loss_cls: 0.1009 acc: 95.1172 loss_bbox: 0.1332 loss_mask: 0.2219 loss: 0.4805 2022/08/26 17:06:25 - mmengine - INFO - Epoch(train) [65][90/125] lr: 8.0000e-02 eta: 1:25:48 time: 0.3769 data_time: 0.0797 memory: 6373 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0128 loss_cls: 0.0993 acc: 96.0938 loss_bbox: 0.1395 loss_mask: 0.2274 loss: 0.4894 2022/08/26 17:06:27 - mmengine - INFO - Epoch(train) [65][95/125] lr: 8.0000e-02 eta: 1:25:48 time: 0.4053 data_time: 0.1044 memory: 6414 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0155 loss_cls: 0.1109 acc: 95.5811 loss_bbox: 0.1467 loss_mask: 0.2490 loss: 0.5372 2022/08/26 17:06:29 - mmengine - INFO - Epoch(train) [65][100/125] lr: 8.0000e-02 eta: 1:25:43 time: 0.3689 data_time: 0.0931 memory: 6301 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0126 loss_cls: 0.1005 acc: 97.5586 loss_bbox: 0.1286 loss_mask: 0.2434 loss: 0.4991 2022/08/26 17:06:31 - mmengine - INFO - Epoch(train) [65][105/125] lr: 8.0000e-02 eta: 1:25:43 time: 0.3813 data_time: 0.1038 memory: 6692 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0128 loss_cls: 0.1034 acc: 96.2402 loss_bbox: 0.1392 loss_mask: 0.2403 loss: 0.5086 2022/08/26 17:06:33 - mmengine - INFO - Epoch(train) [65][110/125] lr: 8.0000e-02 eta: 1:25:38 time: 0.4270 data_time: 0.1239 memory: 7560 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0154 loss_cls: 0.1201 acc: 94.3604 loss_bbox: 0.1706 loss_mask: 0.2506 loss: 0.5739 2022/08/26 17:06:36 - mmengine - INFO - Epoch(train) [65][115/125] lr: 8.0000e-02 eta: 1:25:38 time: 0.4696 data_time: 0.1090 memory: 6147 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0120 loss_cls: 0.1060 acc: 96.2402 loss_bbox: 0.1529 loss_mask: 0.2306 loss: 0.5140 2022/08/26 17:06:38 - mmengine - INFO - Epoch(train) [65][120/125] lr: 8.0000e-02 eta: 1:25:34 time: 0.4751 data_time: 0.1410 memory: 6298 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0133 loss_cls: 0.0942 acc: 97.0947 loss_bbox: 0.1321 loss_mask: 0.2079 loss: 0.4566 2022/08/26 17:06:39 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:06:39 - mmengine - INFO - Epoch(train) [65][125/125] lr: 8.0000e-02 eta: 1:25:34 time: 0.3742 data_time: 0.1019 memory: 6437 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0146 loss_cls: 0.1061 acc: 94.6533 loss_bbox: 0.1399 loss_mask: 0.2275 loss: 0.4981 2022/08/26 17:06:42 - mmengine - INFO - Epoch(train) [66][5/125] lr: 8.0000e-02 eta: 1:25:34 time: 0.3718 data_time: 0.1012 memory: 6234 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0155 loss_cls: 0.1066 acc: 95.5078 loss_bbox: 0.1434 loss_mask: 0.2315 loss: 0.5068 2022/08/26 17:06:44 - mmengine - INFO - Epoch(train) [66][10/125] lr: 8.0000e-02 eta: 1:25:24 time: 0.4046 data_time: 0.1402 memory: 5894 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0136 loss_cls: 0.0866 acc: 96.9238 loss_bbox: 0.1176 loss_mask: 0.2081 loss: 0.4346 2022/08/26 17:06:46 - mmengine - INFO - Epoch(train) [66][15/125] lr: 8.0000e-02 eta: 1:25:24 time: 0.3993 data_time: 0.1063 memory: 6288 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0105 loss_cls: 0.0823 acc: 96.8994 loss_bbox: 0.1107 loss_mask: 0.2143 loss: 0.4262 2022/08/26 17:06:48 - mmengine - INFO - Epoch(train) [66][20/125] lr: 8.0000e-02 eta: 1:25:20 time: 0.4366 data_time: 0.1149 memory: 7577 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0144 loss_cls: 0.1002 acc: 94.9707 loss_bbox: 0.1516 loss_mask: 0.2182 loss: 0.4966 2022/08/26 17:06:50 - mmengine - INFO - Epoch(train) [66][25/125] lr: 8.0000e-02 eta: 1:25:20 time: 0.3989 data_time: 0.1069 memory: 6249 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0122 loss_cls: 0.1012 acc: 96.5820 loss_bbox: 0.1584 loss_mask: 0.2338 loss: 0.5179 2022/08/26 17:06:52 - mmengine - INFO - Epoch(train) [66][30/125] lr: 8.0000e-02 eta: 1:25:15 time: 0.3528 data_time: 0.0853 memory: 6206 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0113 loss_cls: 0.0891 acc: 96.9238 loss_bbox: 0.1338 loss_mask: 0.2549 loss: 0.4991 2022/08/26 17:06:53 - mmengine - INFO - Epoch(train) [66][35/125] lr: 8.0000e-02 eta: 1:25:15 time: 0.3587 data_time: 0.0881 memory: 6476 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0153 loss_cls: 0.0979 acc: 94.7754 loss_bbox: 0.1347 loss_mask: 0.2505 loss: 0.5089 2022/08/26 17:06:56 - mmengine - INFO - Epoch(train) [66][40/125] lr: 8.0000e-02 eta: 1:25:10 time: 0.4177 data_time: 0.0817 memory: 6160 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0167 loss_cls: 0.1002 acc: 97.0947 loss_bbox: 0.1320 loss_mask: 0.2552 loss: 0.5144 2022/08/26 17:06:57 - mmengine - INFO - Epoch(train) [66][45/125] lr: 8.0000e-02 eta: 1:25:10 time: 0.4216 data_time: 0.0859 memory: 6667 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0185 loss_cls: 0.1022 acc: 96.4355 loss_bbox: 0.1365 loss_mask: 0.2679 loss: 0.5374 2022/08/26 17:07:00 - mmengine - INFO - Epoch(train) [66][50/125] lr: 8.0000e-02 eta: 1:25:05 time: 0.3982 data_time: 0.1030 memory: 6223 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0160 loss_cls: 0.1063 acc: 95.5322 loss_bbox: 0.1385 loss_mask: 0.2605 loss: 0.5352 2022/08/26 17:07:02 - mmengine - INFO - Epoch(train) [66][55/125] lr: 8.0000e-02 eta: 1:25:05 time: 0.4196 data_time: 0.0947 memory: 7614 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0188 loss_cls: 0.1186 acc: 92.8223 loss_bbox: 0.1588 loss_mask: 0.2392 loss: 0.5503 2022/08/26 17:07:03 - mmengine - INFO - Epoch(train) [66][60/125] lr: 8.0000e-02 eta: 1:25:00 time: 0.3796 data_time: 0.0769 memory: 6297 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0212 loss_cls: 0.1203 acc: 96.2646 loss_bbox: 0.1641 loss_mask: 0.2215 loss: 0.5404 2022/08/26 17:07:05 - mmengine - INFO - Epoch(train) [66][65/125] lr: 8.0000e-02 eta: 1:25:00 time: 0.3506 data_time: 0.0764 memory: 6222 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0156 loss_cls: 0.1032 acc: 96.2891 loss_bbox: 0.1424 loss_mask: 0.2174 loss: 0.4894 2022/08/26 17:07:07 - mmengine - INFO - Epoch(train) [66][70/125] lr: 8.0000e-02 eta: 1:24:55 time: 0.3589 data_time: 0.0861 memory: 6597 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0133 loss_cls: 0.1083 acc: 95.6299 loss_bbox: 0.1531 loss_mask: 0.2307 loss: 0.5166 2022/08/26 17:07:09 - mmengine - INFO - Epoch(train) [66][75/125] lr: 8.0000e-02 eta: 1:24:55 time: 0.3512 data_time: 0.0756 memory: 6849 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0131 loss_cls: 0.1106 acc: 97.8516 loss_bbox: 0.1624 loss_mask: 0.2385 loss: 0.5368 2022/08/26 17:07:11 - mmengine - INFO - Epoch(train) [66][80/125] lr: 8.0000e-02 eta: 1:24:50 time: 0.3611 data_time: 0.0873 memory: 6313 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0129 loss_cls: 0.1017 acc: 97.7539 loss_bbox: 0.1523 loss_mask: 0.2357 loss: 0.5139 2022/08/26 17:07:13 - mmengine - INFO - Epoch(train) [66][85/125] lr: 8.0000e-02 eta: 1:24:50 time: 0.3837 data_time: 0.1092 memory: 6422 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0113 loss_cls: 0.1034 acc: 97.1191 loss_bbox: 0.1482 loss_mask: 0.2308 loss: 0.5049 2022/08/26 17:07:14 - mmengine - INFO - Epoch(train) [66][90/125] lr: 8.0000e-02 eta: 1:24:44 time: 0.3491 data_time: 0.0740 memory: 6405 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0110 loss_cls: 0.1054 acc: 95.0439 loss_bbox: 0.1491 loss_mask: 0.2245 loss: 0.5012 2022/08/26 17:07:16 - mmengine - INFO - Epoch(train) [66][95/125] lr: 8.0000e-02 eta: 1:24:44 time: 0.3904 data_time: 0.0953 memory: 6187 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0115 loss_cls: 0.0977 acc: 97.7051 loss_bbox: 0.1353 loss_mask: 0.2355 loss: 0.4901 2022/08/26 17:07:18 - mmengine - INFO - Epoch(train) [66][100/125] lr: 8.0000e-02 eta: 1:24:39 time: 0.3971 data_time: 0.1002 memory: 6278 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0120 loss_cls: 0.0980 acc: 95.6543 loss_bbox: 0.1303 loss_mask: 0.2365 loss: 0.4885 2022/08/26 17:07:20 - mmengine - INFO - Epoch(train) [66][105/125] lr: 8.0000e-02 eta: 1:24:39 time: 0.3487 data_time: 0.0674 memory: 6525 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0152 loss_cls: 0.1083 acc: 96.9238 loss_bbox: 0.1476 loss_mask: 0.2191 loss: 0.5019 2022/08/26 17:07:22 - mmengine - INFO - Epoch(train) [66][110/125] lr: 8.0000e-02 eta: 1:24:34 time: 0.3851 data_time: 0.1016 memory: 6203 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0141 loss_cls: 0.1044 acc: 96.2891 loss_bbox: 0.1455 loss_mask: 0.2250 loss: 0.4999 2022/08/26 17:07:24 - mmengine - INFO - Epoch(train) [66][115/125] lr: 8.0000e-02 eta: 1:24:34 time: 0.3874 data_time: 0.1115 memory: 6460 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0109 loss_cls: 0.1079 acc: 96.2891 loss_bbox: 0.1500 loss_mask: 0.2439 loss: 0.5228 2022/08/26 17:07:26 - mmengine - INFO - Epoch(train) [66][120/125] lr: 8.0000e-02 eta: 1:24:29 time: 0.3837 data_time: 0.1036 memory: 6585 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0139 loss_cls: 0.1218 acc: 91.8213 loss_bbox: 0.1697 loss_mask: 0.2358 loss: 0.5516 2022/08/26 17:07:27 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:07:27 - mmengine - INFO - Epoch(train) [66][125/125] lr: 8.0000e-02 eta: 1:24:29 time: 0.3514 data_time: 0.0694 memory: 6476 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0140 loss_cls: 0.1235 acc: 95.4590 loss_bbox: 0.1617 loss_mask: 0.2363 loss: 0.5493 2022/08/26 17:07:31 - mmengine - INFO - Epoch(train) [67][5/125] lr: 8.0000e-02 eta: 1:24:29 time: 0.5270 data_time: 0.2467 memory: 6568 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0140 loss_cls: 0.1208 acc: 93.9209 loss_bbox: 0.1572 loss_mask: 0.2489 loss: 0.5548 2022/08/26 17:07:33 - mmengine - INFO - Epoch(train) [67][10/125] lr: 8.0000e-02 eta: 1:24:21 time: 0.5429 data_time: 0.2663 memory: 6016 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0133 loss_cls: 0.1014 acc: 96.5088 loss_bbox: 0.1364 loss_mask: 0.2506 loss: 0.5128 2022/08/26 17:07:35 - mmengine - INFO - Epoch(train) [67][15/125] lr: 8.0000e-02 eta: 1:24:21 time: 0.3900 data_time: 0.0463 memory: 6571 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0140 loss_cls: 0.1019 acc: 94.7998 loss_bbox: 0.1394 loss_mask: 0.2356 loss: 0.5007 2022/08/26 17:07:37 - mmengine - INFO - Epoch(train) [67][20/125] lr: 8.0000e-02 eta: 1:24:17 time: 0.4508 data_time: 0.0469 memory: 6483 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0159 loss_cls: 0.1098 acc: 97.1436 loss_bbox: 0.1559 loss_mask: 0.2314 loss: 0.5267 2022/08/26 17:07:39 - mmengine - INFO - Epoch(train) [67][25/125] lr: 8.0000e-02 eta: 1:24:17 time: 0.4350 data_time: 0.0803 memory: 6347 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0140 loss_cls: 0.1048 acc: 96.0938 loss_bbox: 0.1480 loss_mask: 0.2283 loss: 0.5100 2022/08/26 17:07:41 - mmengine - INFO - Epoch(train) [67][30/125] lr: 8.0000e-02 eta: 1:24:12 time: 0.3771 data_time: 0.0834 memory: 6113 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0136 loss_cls: 0.1022 acc: 96.0449 loss_bbox: 0.1397 loss_mask: 0.2172 loss: 0.4857 2022/08/26 17:07:43 - mmengine - INFO - Epoch(train) [67][35/125] lr: 8.0000e-02 eta: 1:24:12 time: 0.3296 data_time: 0.0554 memory: 6548 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0142 loss_cls: 0.0997 acc: 96.7285 loss_bbox: 0.1414 loss_mask: 0.2368 loss: 0.5051 2022/08/26 17:07:45 - mmengine - INFO - Epoch(train) [67][40/125] lr: 8.0000e-02 eta: 1:24:07 time: 0.3748 data_time: 0.0920 memory: 6288 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0134 loss_cls: 0.1018 acc: 95.2148 loss_bbox: 0.1462 loss_mask: 0.2342 loss: 0.5059 2022/08/26 17:07:47 - mmengine - INFO - Epoch(train) [67][45/125] lr: 8.0000e-02 eta: 1:24:07 time: 0.4339 data_time: 0.1251 memory: 7693 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0132 loss_cls: 0.0975 acc: 95.9961 loss_bbox: 0.1448 loss_mask: 0.2182 loss: 0.4837 2022/08/26 17:07:49 - mmengine - INFO - Epoch(train) [67][50/125] lr: 8.0000e-02 eta: 1:24:02 time: 0.3991 data_time: 0.0797 memory: 7383 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0148 loss_cls: 0.0974 acc: 94.9219 loss_bbox: 0.1436 loss_mask: 0.2161 loss: 0.4840 2022/08/26 17:07:50 - mmengine - INFO - Epoch(train) [67][55/125] lr: 8.0000e-02 eta: 1:24:02 time: 0.3430 data_time: 0.0539 memory: 6308 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0152 loss_cls: 0.0964 acc: 95.9473 loss_bbox: 0.1325 loss_mask: 0.2214 loss: 0.4809 2022/08/26 17:07:53 - mmengine - INFO - Epoch(train) [67][60/125] lr: 8.0000e-02 eta: 1:23:58 time: 0.4162 data_time: 0.1479 memory: 5963 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0131 loss_cls: 0.0888 acc: 96.5088 loss_bbox: 0.1141 loss_mask: 0.2407 loss: 0.4714 2022/08/26 17:07:56 - mmengine - INFO - Epoch(train) [67][65/125] lr: 8.0000e-02 eta: 1:23:58 time: 0.5712 data_time: 0.1816 memory: 7216 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0130 loss_cls: 0.1070 acc: 96.6553 loss_bbox: 0.1346 loss_mask: 0.2511 loss: 0.5196 2022/08/26 17:07:58 - mmengine - INFO - Epoch(train) [67][70/125] lr: 8.0000e-02 eta: 1:23:54 time: 0.4852 data_time: 0.0917 memory: 6298 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0136 loss_cls: 0.1154 acc: 97.9492 loss_bbox: 0.1475 loss_mask: 0.2384 loss: 0.5313 2022/08/26 17:08:00 - mmengine - INFO - Epoch(train) [67][75/125] lr: 8.0000e-02 eta: 1:23:54 time: 0.3432 data_time: 0.0707 memory: 6337 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0130 loss_cls: 0.1075 acc: 95.9229 loss_bbox: 0.1379 loss_mask: 0.2386 loss: 0.5122 2022/08/26 17:08:02 - mmengine - INFO - Epoch(train) [67][80/125] lr: 8.0000e-02 eta: 1:23:50 time: 0.4166 data_time: 0.1342 memory: 6026 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0122 loss_cls: 0.0952 acc: 95.8984 loss_bbox: 0.1277 loss_mask: 0.2298 loss: 0.4764 2022/08/26 17:08:04 - mmengine - INFO - Epoch(train) [67][85/125] lr: 8.0000e-02 eta: 1:23:50 time: 0.4307 data_time: 0.1418 memory: 6564 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0117 loss_cls: 0.0901 acc: 96.6797 loss_bbox: 0.1292 loss_mask: 0.2122 loss: 0.4528 2022/08/26 17:08:06 - mmengine - INFO - Epoch(train) [67][90/125] lr: 8.0000e-02 eta: 1:23:45 time: 0.3981 data_time: 0.1177 memory: 6225 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0139 loss_cls: 0.0981 acc: 96.1426 loss_bbox: 0.1413 loss_mask: 0.2259 loss: 0.4909 2022/08/26 17:08:08 - mmengine - INFO - Epoch(train) [67][95/125] lr: 8.0000e-02 eta: 1:23:45 time: 0.3766 data_time: 0.0980 memory: 6264 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0113 loss_cls: 0.0967 acc: 96.1182 loss_bbox: 0.1420 loss_mask: 0.2404 loss: 0.5024 2022/08/26 17:08:10 - mmengine - INFO - Epoch(train) [67][100/125] lr: 8.0000e-02 eta: 1:23:40 time: 0.3559 data_time: 0.0729 memory: 6581 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0124 loss_cls: 0.1137 acc: 94.4580 loss_bbox: 0.1647 loss_mask: 0.2395 loss: 0.5442 2022/08/26 17:08:11 - mmengine - INFO - Epoch(train) [67][105/125] lr: 8.0000e-02 eta: 1:23:40 time: 0.3587 data_time: 0.0820 memory: 6512 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0166 loss_cls: 0.1156 acc: 94.7510 loss_bbox: 0.1492 loss_mask: 0.2447 loss: 0.5423 2022/08/26 17:08:13 - mmengine - INFO - Epoch(train) [67][110/125] lr: 8.0000e-02 eta: 1:23:35 time: 0.3754 data_time: 0.1052 memory: 6476 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0162 loss_cls: 0.1073 acc: 97.6562 loss_bbox: 0.1374 loss_mask: 0.2472 loss: 0.5221 2022/08/26 17:08:17 - mmengine - INFO - Epoch(train) [67][115/125] lr: 8.0000e-02 eta: 1:23:35 time: 0.5260 data_time: 0.1078 memory: 6228 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0137 loss_cls: 0.1059 acc: 96.3623 loss_bbox: 0.1497 loss_mask: 0.2339 loss: 0.5142 2022/08/26 17:08:18 - mmengine - INFO - Epoch(train) [67][120/125] lr: 8.0000e-02 eta: 1:23:31 time: 0.5031 data_time: 0.0847 memory: 6074 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0119 loss_cls: 0.0922 acc: 96.1182 loss_bbox: 0.1362 loss_mask: 0.2333 loss: 0.4811 2022/08/26 17:08:20 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:08:20 - mmengine - INFO - Epoch(train) [67][125/125] lr: 8.0000e-02 eta: 1:23:31 time: 0.3611 data_time: 0.0823 memory: 6398 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0135 loss_cls: 0.0979 acc: 95.6299 loss_bbox: 0.1427 loss_mask: 0.2277 loss: 0.4911 2022/08/26 17:08:24 - mmengine - INFO - Epoch(train) [68][5/125] lr: 8.0000e-02 eta: 1:23:31 time: 0.5992 data_time: 0.3170 memory: 6304 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0133 loss_cls: 0.1062 acc: 96.2402 loss_bbox: 0.1494 loss_mask: 0.2163 loss: 0.4969 2022/08/26 17:08:26 - mmengine - INFO - Epoch(train) [68][10/125] lr: 8.0000e-02 eta: 1:23:24 time: 0.6134 data_time: 0.3344 memory: 6803 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0119 loss_cls: 0.0979 acc: 96.0938 loss_bbox: 0.1385 loss_mask: 0.2186 loss: 0.4764 2022/08/26 17:08:28 - mmengine - INFO - Epoch(train) [68][15/125] lr: 8.0000e-02 eta: 1:23:24 time: 0.3953 data_time: 0.1205 memory: 6088 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0135 loss_cls: 0.0967 acc: 97.5830 loss_bbox: 0.1323 loss_mask: 0.2338 loss: 0.4860 2022/08/26 17:08:30 - mmengine - INFO - Epoch(train) [68][20/125] lr: 8.0000e-02 eta: 1:23:19 time: 0.3851 data_time: 0.1148 memory: 6558 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0131 loss_cls: 0.1064 acc: 96.8750 loss_bbox: 0.1418 loss_mask: 0.2510 loss: 0.5238 2022/08/26 17:08:32 - mmengine - INFO - Epoch(train) [68][25/125] lr: 8.0000e-02 eta: 1:23:19 time: 0.3577 data_time: 0.0912 memory: 6120 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0101 loss_cls: 0.1085 acc: 97.0947 loss_bbox: 0.1393 loss_mask: 0.2534 loss: 0.5234 2022/08/26 17:08:34 - mmengine - INFO - Epoch(train) [68][30/125] lr: 8.0000e-02 eta: 1:23:14 time: 0.3370 data_time: 0.0655 memory: 6460 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0113 loss_cls: 0.1129 acc: 95.0928 loss_bbox: 0.1363 loss_mask: 0.2448 loss: 0.5165 2022/08/26 17:08:37 - mmengine - INFO - Epoch(train) [68][35/125] lr: 8.0000e-02 eta: 1:23:14 time: 0.4918 data_time: 0.0438 memory: 6232 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0114 loss_cls: 0.1092 acc: 96.4844 loss_bbox: 0.1388 loss_mask: 0.2268 loss: 0.4943 2022/08/26 17:08:39 - mmengine - INFO - Epoch(train) [68][40/125] lr: 8.0000e-02 eta: 1:23:11 time: 0.5036 data_time: 0.0531 memory: 6258 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0107 loss_cls: 0.1036 acc: 97.0459 loss_bbox: 0.1408 loss_mask: 0.2242 loss: 0.4892 2022/08/26 17:08:41 - mmengine - INFO - Epoch(train) [68][45/125] lr: 8.0000e-02 eta: 1:23:11 time: 0.3769 data_time: 0.1003 memory: 6291 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0119 loss_cls: 0.1081 acc: 95.3613 loss_bbox: 0.1499 loss_mask: 0.2296 loss: 0.5108 2022/08/26 17:08:43 - mmengine - INFO - Epoch(train) [68][50/125] lr: 8.0000e-02 eta: 1:23:06 time: 0.4145 data_time: 0.1169 memory: 7439 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0137 loss_cls: 0.1073 acc: 95.9717 loss_bbox: 0.1452 loss_mask: 0.2248 loss: 0.5027 2022/08/26 17:08:45 - mmengine - INFO - Epoch(train) [68][55/125] lr: 8.0000e-02 eta: 1:23:06 time: 0.4544 data_time: 0.1516 memory: 6845 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0138 loss_cls: 0.1109 acc: 95.8984 loss_bbox: 0.1577 loss_mask: 0.2285 loss: 0.5224 2022/08/26 17:08:47 - mmengine - INFO - Epoch(train) [68][60/125] lr: 8.0000e-02 eta: 1:23:01 time: 0.3900 data_time: 0.1158 memory: 6253 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0136 loss_cls: 0.1025 acc: 96.7041 loss_bbox: 0.1476 loss_mask: 0.2430 loss: 0.5166 2022/08/26 17:08:48 - mmengine - INFO - Epoch(train) [68][65/125] lr: 8.0000e-02 eta: 1:23:01 time: 0.3086 data_time: 0.0411 memory: 6026 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0144 loss_cls: 0.0950 acc: 95.8740 loss_bbox: 0.1200 loss_mask: 0.2545 loss: 0.4947 2022/08/26 17:08:50 - mmengine - INFO - Epoch(train) [68][70/125] lr: 8.0000e-02 eta: 1:22:56 time: 0.3473 data_time: 0.0725 memory: 6669 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0132 loss_cls: 0.1065 acc: 96.5820 loss_bbox: 0.1336 loss_mask: 0.2480 loss: 0.5125 2022/08/26 17:08:52 - mmengine - INFO - Epoch(train) [68][75/125] lr: 8.0000e-02 eta: 1:22:56 time: 0.3613 data_time: 0.0872 memory: 6656 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0131 loss_cls: 0.1009 acc: 98.8281 loss_bbox: 0.1337 loss_mask: 0.2178 loss: 0.4780 2022/08/26 17:08:54 - mmengine - INFO - Epoch(train) [68][80/125] lr: 8.0000e-02 eta: 1:22:51 time: 0.3931 data_time: 0.1240 memory: 6045 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0109 loss_cls: 0.0871 acc: 96.8018 loss_bbox: 0.1195 loss_mask: 0.2288 loss: 0.4572 2022/08/26 17:08:57 - mmengine - INFO - Epoch(train) [68][85/125] lr: 8.0000e-02 eta: 1:22:51 time: 0.5229 data_time: 0.1852 memory: 6509 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0142 loss_cls: 0.0991 acc: 95.5078 loss_bbox: 0.1363 loss_mask: 0.2424 loss: 0.5002 2022/08/26 17:08:59 - mmengine - INFO - Epoch(train) [68][90/125] lr: 8.0000e-02 eta: 1:22:47 time: 0.4756 data_time: 0.1411 memory: 6515 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0166 loss_cls: 0.1051 acc: 97.6807 loss_bbox: 0.1375 loss_mask: 0.2273 loss: 0.4980 2022/08/26 17:09:01 - mmengine - INFO - Epoch(train) [68][95/125] lr: 8.0000e-02 eta: 1:22:47 time: 0.3543 data_time: 0.0799 memory: 6515 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0140 loss_cls: 0.1057 acc: 95.7031 loss_bbox: 0.1442 loss_mask: 0.2378 loss: 0.5152 2022/08/26 17:09:02 - mmengine - INFO - Epoch(train) [68][100/125] lr: 8.0000e-02 eta: 1:22:42 time: 0.3377 data_time: 0.0568 memory: 6376 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0145 loss_cls: 0.1156 acc: 96.4111 loss_bbox: 0.1587 loss_mask: 0.2381 loss: 0.5387 2022/08/26 17:09:04 - mmengine - INFO - Epoch(train) [68][105/125] lr: 8.0000e-02 eta: 1:22:42 time: 0.3593 data_time: 0.0780 memory: 6696 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0165 loss_cls: 0.1143 acc: 92.8467 loss_bbox: 0.1577 loss_mask: 0.2323 loss: 0.5321 2022/08/26 17:09:06 - mmengine - INFO - Epoch(train) [68][110/125] lr: 8.0000e-02 eta: 1:22:37 time: 0.3883 data_time: 0.1094 memory: 6756 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0147 loss_cls: 0.1098 acc: 97.8027 loss_bbox: 0.1579 loss_mask: 0.2357 loss: 0.5287 2022/08/26 17:09:08 - mmengine - INFO - Epoch(train) [68][115/125] lr: 8.0000e-02 eta: 1:22:37 time: 0.3495 data_time: 0.0743 memory: 6836 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0116 loss_cls: 0.1036 acc: 95.2881 loss_bbox: 0.1467 loss_mask: 0.2359 loss: 0.5094 2022/08/26 17:09:09 - mmengine - INFO - Epoch(train) [68][120/125] lr: 8.0000e-02 eta: 1:22:31 time: 0.3205 data_time: 0.0528 memory: 6242 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0126 loss_cls: 0.0981 acc: 95.8008 loss_bbox: 0.1340 loss_mask: 0.2376 loss: 0.4947 2022/08/26 17:09:11 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:09:11 - mmengine - INFO - Epoch(train) [68][125/125] lr: 8.0000e-02 eta: 1:22:31 time: 0.3274 data_time: 0.0549 memory: 6601 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0199 loss_cls: 0.1094 acc: 97.7051 loss_bbox: 0.1417 loss_mask: 0.2385 loss: 0.5230 2022/08/26 17:09:14 - mmengine - INFO - Epoch(train) [69][5/125] lr: 8.0000e-02 eta: 1:22:31 time: 0.4509 data_time: 0.1389 memory: 5927 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0198 loss_cls: 0.1022 acc: 96.9971 loss_bbox: 0.1376 loss_mask: 0.2475 loss: 0.5208 2022/08/26 17:09:16 - mmengine - INFO - Epoch(train) [69][10/125] lr: 8.0000e-02 eta: 1:22:22 time: 0.4911 data_time: 0.1505 memory: 5999 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0110 loss_cls: 0.0887 acc: 95.9229 loss_bbox: 0.1217 loss_mask: 0.2484 loss: 0.4799 2022/08/26 17:09:19 - mmengine - INFO - Epoch(train) [69][15/125] lr: 8.0000e-02 eta: 1:22:22 time: 0.4225 data_time: 0.1143 memory: 6154 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0096 loss_cls: 0.0965 acc: 96.4600 loss_bbox: 0.1357 loss_mask: 0.2347 loss: 0.4846 2022/08/26 17:09:20 - mmengine - INFO - Epoch(train) [69][20/125] lr: 8.0000e-02 eta: 1:22:17 time: 0.3810 data_time: 0.1039 memory: 6457 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0122 loss_cls: 0.1040 acc: 97.6807 loss_bbox: 0.1527 loss_mask: 0.2277 loss: 0.5049 2022/08/26 17:09:22 - mmengine - INFO - Epoch(train) [69][25/125] lr: 8.0000e-02 eta: 1:22:17 time: 0.3818 data_time: 0.0721 memory: 7322 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0141 loss_cls: 0.1093 acc: 97.0215 loss_bbox: 0.1555 loss_mask: 0.2372 loss: 0.5283 2022/08/26 17:09:25 - mmengine - INFO - Epoch(train) [69][30/125] lr: 8.0000e-02 eta: 1:22:13 time: 0.4367 data_time: 0.1056 memory: 7499 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0140 loss_cls: 0.1102 acc: 98.1689 loss_bbox: 0.1548 loss_mask: 0.2460 loss: 0.5387 2022/08/26 17:09:26 - mmengine - INFO - Epoch(train) [69][35/125] lr: 8.0000e-02 eta: 1:22:13 time: 0.4111 data_time: 0.1093 memory: 6173 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0137 loss_cls: 0.1021 acc: 96.8262 loss_bbox: 0.1354 loss_mask: 0.2364 loss: 0.4986 2022/08/26 17:09:28 - mmengine - INFO - Epoch(train) [69][40/125] lr: 8.0000e-02 eta: 1:22:08 time: 0.3580 data_time: 0.0755 memory: 6170 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0125 loss_cls: 0.0984 acc: 97.3389 loss_bbox: 0.1275 loss_mask: 0.2264 loss: 0.4750 2022/08/26 17:09:31 - mmengine - INFO - Epoch(train) [69][45/125] lr: 8.0000e-02 eta: 1:22:08 time: 0.4140 data_time: 0.1281 memory: 6503 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0182 loss_cls: 0.0997 acc: 96.8994 loss_bbox: 0.1422 loss_mask: 0.2224 loss: 0.4937 2022/08/26 17:09:32 - mmengine - INFO - Epoch(train) [69][50/125] lr: 8.0000e-02 eta: 1:22:03 time: 0.4176 data_time: 0.1345 memory: 6276 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0174 loss_cls: 0.0987 acc: 95.6787 loss_bbox: 0.1370 loss_mask: 0.2199 loss: 0.4833 2022/08/26 17:09:36 - mmengine - INFO - Epoch(train) [69][55/125] lr: 8.0000e-02 eta: 1:22:03 time: 0.5101 data_time: 0.1154 memory: 6693 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0136 loss_cls: 0.1042 acc: 96.6064 loss_bbox: 0.1437 loss_mask: 0.2236 loss: 0.4946 2022/08/26 17:09:38 - mmengine - INFO - Epoch(train) [69][60/125] lr: 8.0000e-02 eta: 1:22:00 time: 0.5185 data_time: 0.1280 memory: 6444 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0148 loss_cls: 0.1056 acc: 93.5059 loss_bbox: 0.1517 loss_mask: 0.2386 loss: 0.5205 2022/08/26 17:09:40 - mmengine - INFO - Epoch(train) [69][65/125] lr: 8.0000e-02 eta: 1:22:00 time: 0.3834 data_time: 0.1117 memory: 6389 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0144 loss_cls: 0.0984 acc: 94.5312 loss_bbox: 0.1344 loss_mask: 0.2423 loss: 0.4987 2022/08/26 17:09:41 - mmengine - INFO - Epoch(train) [69][70/125] lr: 8.0000e-02 eta: 1:21:55 time: 0.3615 data_time: 0.0881 memory: 6209 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0163 loss_cls: 0.1046 acc: 95.3369 loss_bbox: 0.1369 loss_mask: 0.2361 loss: 0.5056 2022/08/26 17:09:43 - mmengine - INFO - Epoch(train) [69][75/125] lr: 8.0000e-02 eta: 1:21:55 time: 0.3564 data_time: 0.0790 memory: 6705 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0166 loss_cls: 0.1143 acc: 97.9004 loss_bbox: 0.1568 loss_mask: 0.2274 loss: 0.5298 2022/08/26 17:09:45 - mmengine - INFO - Epoch(train) [69][80/125] lr: 8.0000e-02 eta: 1:21:50 time: 0.3971 data_time: 0.1104 memory: 6252 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0137 loss_cls: 0.1101 acc: 95.5078 loss_bbox: 0.1458 loss_mask: 0.2282 loss: 0.5095 2022/08/26 17:09:47 - mmengine - INFO - Epoch(train) [69][85/125] lr: 8.0000e-02 eta: 1:21:50 time: 0.3896 data_time: 0.1041 memory: 6656 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0110 loss_cls: 0.1007 acc: 97.7539 loss_bbox: 0.1296 loss_mask: 0.2297 loss: 0.4821 2022/08/26 17:09:49 - mmengine - INFO - Epoch(train) [69][90/125] lr: 8.0000e-02 eta: 1:21:45 time: 0.3745 data_time: 0.1020 memory: 6232 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0120 loss_cls: 0.1024 acc: 96.4600 loss_bbox: 0.1392 loss_mask: 0.2437 loss: 0.5108 2022/08/26 17:09:51 - mmengine - INFO - Epoch(train) [69][95/125] lr: 8.0000e-02 eta: 1:21:45 time: 0.3971 data_time: 0.0885 memory: 6645 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0123 loss_cls: 0.1141 acc: 95.6055 loss_bbox: 0.1585 loss_mask: 0.2544 loss: 0.5509 2022/08/26 17:09:53 - mmengine - INFO - Epoch(train) [69][100/125] lr: 8.0000e-02 eta: 1:21:40 time: 0.3786 data_time: 0.0684 memory: 6226 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0126 loss_cls: 0.1135 acc: 94.5557 loss_bbox: 0.1602 loss_mask: 0.2451 loss: 0.5418 2022/08/26 17:09:54 - mmengine - INFO - Epoch(train) [69][105/125] lr: 8.0000e-02 eta: 1:21:40 time: 0.3400 data_time: 0.0695 memory: 6382 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0118 loss_cls: 0.1083 acc: 96.1914 loss_bbox: 0.1483 loss_mask: 0.2404 loss: 0.5204 2022/08/26 17:09:57 - mmengine - INFO - Epoch(train) [69][110/125] lr: 8.0000e-02 eta: 1:21:36 time: 0.4244 data_time: 0.1271 memory: 6360 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0117 loss_cls: 0.1166 acc: 94.3604 loss_bbox: 0.1598 loss_mask: 0.2345 loss: 0.5364 2022/08/26 17:09:59 - mmengine - INFO - Epoch(train) [69][115/125] lr: 8.0000e-02 eta: 1:21:36 time: 0.4283 data_time: 0.1310 memory: 6613 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0148 loss_cls: 0.1177 acc: 96.0449 loss_bbox: 0.1668 loss_mask: 0.2357 loss: 0.5493 2022/08/26 17:10:01 - mmengine - INFO - Epoch(train) [69][120/125] lr: 8.0000e-02 eta: 1:21:31 time: 0.3723 data_time: 0.0989 memory: 6196 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0145 loss_cls: 0.1052 acc: 97.5098 loss_bbox: 0.1463 loss_mask: 0.2370 loss: 0.5159 2022/08/26 17:10:02 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:10:02 - mmengine - INFO - Epoch(train) [69][125/125] lr: 8.0000e-02 eta: 1:21:31 time: 0.3577 data_time: 0.0793 memory: 6470 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0113 loss_cls: 0.0992 acc: 96.4111 loss_bbox: 0.1324 loss_mask: 0.2322 loss: 0.4849 2022/08/26 17:10:06 - mmengine - INFO - Epoch(train) [70][5/125] lr: 8.0000e-02 eta: 1:21:31 time: 0.5154 data_time: 0.2039 memory: 6447 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0125 loss_cls: 0.1056 acc: 97.2412 loss_bbox: 0.1419 loss_mask: 0.2381 loss: 0.5081 2022/08/26 17:10:08 - mmengine - INFO - Epoch(train) [70][10/125] lr: 8.0000e-02 eta: 1:21:24 time: 0.6095 data_time: 0.2964 memory: 6898 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0153 loss_cls: 0.1042 acc: 96.7773 loss_bbox: 0.1401 loss_mask: 0.2308 loss: 0.5024 2022/08/26 17:10:10 - mmengine - INFO - Epoch(train) [70][15/125] lr: 8.0000e-02 eta: 1:21:24 time: 0.4572 data_time: 0.1726 memory: 6721 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0155 loss_cls: 0.1110 acc: 96.7285 loss_bbox: 0.1557 loss_mask: 0.2387 loss: 0.5350 2022/08/26 17:10:12 - mmengine - INFO - Epoch(train) [70][20/125] lr: 8.0000e-02 eta: 1:21:19 time: 0.3707 data_time: 0.0892 memory: 6695 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0120 loss_cls: 0.1107 acc: 96.9727 loss_bbox: 0.1597 loss_mask: 0.2612 loss: 0.5571 2022/08/26 17:10:14 - mmengine - INFO - Epoch(train) [70][25/125] lr: 8.0000e-02 eta: 1:21:19 time: 0.3230 data_time: 0.0488 memory: 6542 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0113 loss_cls: 0.0995 acc: 97.1436 loss_bbox: 0.1360 loss_mask: 0.2659 loss: 0.5248 2022/08/26 17:10:17 - mmengine - INFO - Epoch(train) [70][30/125] lr: 8.0000e-02 eta: 1:21:16 time: 0.5028 data_time: 0.1108 memory: 6313 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0171 loss_cls: 0.1136 acc: 94.5312 loss_bbox: 0.1470 loss_mask: 0.2652 loss: 0.5567 2022/08/26 17:10:19 - mmengine - INFO - Epoch(train) [70][35/125] lr: 8.0000e-02 eta: 1:21:16 time: 0.5248 data_time: 0.1305 memory: 6029 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0166 loss_cls: 0.1153 acc: 94.8486 loss_bbox: 0.1412 loss_mask: 0.2561 loss: 0.5434 2022/08/26 17:10:21 - mmengine - INFO - Epoch(train) [70][40/125] lr: 8.0000e-02 eta: 1:21:10 time: 0.3657 data_time: 0.0918 memory: 6091 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0125 loss_cls: 0.0981 acc: 96.9482 loss_bbox: 0.1184 loss_mask: 0.2459 loss: 0.4861 2022/08/26 17:10:23 - mmengine - INFO - Epoch(train) [70][45/125] lr: 8.0000e-02 eta: 1:21:10 time: 0.4206 data_time: 0.1434 memory: 6167 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0141 loss_cls: 0.1023 acc: 94.4336 loss_bbox: 0.1294 loss_mask: 0.2309 loss: 0.4871 2022/08/26 17:10:25 - mmengine - INFO - Epoch(train) [70][50/125] lr: 8.0000e-02 eta: 1:21:07 time: 0.4636 data_time: 0.1814 memory: 6548 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0189 loss_cls: 0.1059 acc: 97.1924 loss_bbox: 0.1372 loss_mask: 0.2274 loss: 0.5023 2022/08/26 17:10:27 - mmengine - INFO - Epoch(train) [70][55/125] lr: 8.0000e-02 eta: 1:21:07 time: 0.3844 data_time: 0.1048 memory: 6241 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0177 loss_cls: 0.0966 acc: 97.4609 loss_bbox: 0.1302 loss_mask: 0.2289 loss: 0.4856 2022/08/26 17:10:29 - mmengine - INFO - Epoch(train) [70][60/125] lr: 8.0000e-02 eta: 1:21:01 time: 0.3555 data_time: 0.0354 memory: 6513 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0166 loss_cls: 0.1000 acc: 95.9473 loss_bbox: 0.1358 loss_mask: 0.2541 loss: 0.5175 2022/08/26 17:10:32 - mmengine - INFO - Epoch(train) [70][65/125] lr: 8.0000e-02 eta: 1:21:01 time: 0.5286 data_time: 0.2100 memory: 6116 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0146 loss_cls: 0.1007 acc: 95.8740 loss_bbox: 0.1377 loss_mask: 0.2632 loss: 0.5263 2022/08/26 17:10:34 - mmengine - INFO - Epoch(train) [70][70/125] lr: 8.0000e-02 eta: 1:20:58 time: 0.4868 data_time: 0.2117 memory: 6088 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0100 loss_cls: 0.0917 acc: 96.8750 loss_bbox: 0.1279 loss_mask: 0.2365 loss: 0.4749 2022/08/26 17:10:36 - mmengine - INFO - Epoch(train) [70][75/125] lr: 8.0000e-02 eta: 1:20:58 time: 0.3291 data_time: 0.0505 memory: 6630 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0113 loss_cls: 0.0986 acc: 93.7012 loss_bbox: 0.1407 loss_mask: 0.2249 loss: 0.4846 2022/08/26 17:10:38 - mmengine - INFO - Epoch(train) [70][80/125] lr: 8.0000e-02 eta: 1:20:53 time: 0.3832 data_time: 0.1049 memory: 6709 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0133 loss_cls: 0.1124 acc: 93.1152 loss_bbox: 0.1638 loss_mask: 0.2257 loss: 0.5258 2022/08/26 17:10:39 - mmengine - INFO - Epoch(train) [70][85/125] lr: 8.0000e-02 eta: 1:20:53 time: 0.3708 data_time: 0.0995 memory: 6048 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0118 loss_cls: 0.1039 acc: 97.9004 loss_bbox: 0.1384 loss_mask: 0.2399 loss: 0.5044 2022/08/26 17:10:41 - mmengine - INFO - Epoch(train) [70][90/125] lr: 8.0000e-02 eta: 1:20:47 time: 0.3395 data_time: 0.0686 memory: 6323 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0135 loss_cls: 0.0948 acc: 95.8496 loss_bbox: 0.1233 loss_mask: 0.2373 loss: 0.4797 2022/08/26 17:10:43 - mmengine - INFO - Epoch(train) [70][95/125] lr: 8.0000e-02 eta: 1:20:47 time: 0.3618 data_time: 0.0891 memory: 6460 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0136 loss_cls: 0.0934 acc: 96.3623 loss_bbox: 0.1338 loss_mask: 0.2198 loss: 0.4700 2022/08/26 17:10:45 - mmengine - INFO - Epoch(train) [70][100/125] lr: 8.0000e-02 eta: 1:20:42 time: 0.3722 data_time: 0.0797 memory: 6669 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0131 loss_cls: 0.1061 acc: 94.0674 loss_bbox: 0.1507 loss_mask: 0.2230 loss: 0.5020 2022/08/26 17:10:47 - mmengine - INFO - Epoch(train) [70][105/125] lr: 8.0000e-02 eta: 1:20:42 time: 0.4195 data_time: 0.0842 memory: 5977 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0134 loss_cls: 0.1038 acc: 97.2656 loss_bbox: 0.1431 loss_mask: 0.2485 loss: 0.5209 2022/08/26 17:10:49 - mmengine - INFO - Epoch(train) [70][110/125] lr: 8.0000e-02 eta: 1:20:38 time: 0.3915 data_time: 0.0804 memory: 6467 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0088 loss_cls: 0.0912 acc: 94.4336 loss_bbox: 0.1220 loss_mask: 0.2459 loss: 0.4791 2022/08/26 17:10:51 - mmengine - INFO - Epoch(train) [70][115/125] lr: 8.0000e-02 eta: 1:20:38 time: 0.3764 data_time: 0.0931 memory: 6695 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0103 loss_cls: 0.1101 acc: 93.8477 loss_bbox: 0.1534 loss_mask: 0.2403 loss: 0.5250 2022/08/26 17:10:53 - mmengine - INFO - Epoch(train) [70][120/125] lr: 8.0000e-02 eta: 1:20:33 time: 0.4033 data_time: 0.1179 memory: 6416 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0119 loss_cls: 0.1171 acc: 94.7510 loss_bbox: 0.1507 loss_mask: 0.2461 loss: 0.5378 2022/08/26 17:10:55 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:10:55 - mmengine - INFO - Epoch(train) [70][125/125] lr: 8.0000e-02 eta: 1:20:33 time: 0.4105 data_time: 0.1378 memory: 6403 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0165 loss_cls: 0.1159 acc: 95.8008 loss_bbox: 0.1465 loss_mask: 0.2401 loss: 0.5324 2022/08/26 17:10:59 - mmengine - INFO - Epoch(train) [71][5/125] lr: 8.0000e-02 eta: 1:20:33 time: 0.5884 data_time: 0.3163 memory: 6077 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0179 loss_cls: 0.1126 acc: 97.1680 loss_bbox: 0.1424 loss_mask: 0.2360 loss: 0.5225 2022/08/26 17:11:01 - mmengine - INFO - Epoch(train) [71][10/125] lr: 8.0000e-02 eta: 1:20:26 time: 0.5758 data_time: 0.3064 memory: 6278 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0129 loss_cls: 0.0929 acc: 96.1182 loss_bbox: 0.1182 loss_mask: 0.2390 loss: 0.4735 2022/08/26 17:11:04 - mmengine - INFO - Epoch(train) [71][15/125] lr: 8.0000e-02 eta: 1:20:26 time: 0.4907 data_time: 0.1805 memory: 6206 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0116 loss_cls: 0.0823 acc: 98.0225 loss_bbox: 0.1213 loss_mask: 0.2533 loss: 0.4789 2022/08/26 17:11:06 - mmengine - INFO - Epoch(train) [71][20/125] lr: 8.0000e-02 eta: 1:20:22 time: 0.5065 data_time: 0.1892 memory: 6431 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0160 loss_cls: 0.0948 acc: 96.9238 loss_bbox: 0.1338 loss_mask: 0.2491 loss: 0.5073 2022/08/26 17:11:09 - mmengine - INFO - Epoch(train) [71][25/125] lr: 8.0000e-02 eta: 1:20:22 time: 0.5570 data_time: 0.2227 memory: 7452 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0190 loss_cls: 0.1154 acc: 97.2900 loss_bbox: 0.1564 loss_mask: 0.2421 loss: 0.5474 2022/08/26 17:11:12 - mmengine - INFO - Epoch(train) [71][30/125] lr: 8.0000e-02 eta: 1:20:20 time: 0.5661 data_time: 0.2363 memory: 6193 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0134 loss_cls: 0.1126 acc: 95.7520 loss_bbox: 0.1483 loss_mask: 0.2398 loss: 0.5260 2022/08/26 17:11:15 - mmengine - INFO - Epoch(train) [71][35/125] lr: 8.0000e-02 eta: 1:20:20 time: 0.5287 data_time: 0.2543 memory: 6389 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0110 loss_cls: 0.0943 acc: 96.8750 loss_bbox: 0.1277 loss_mask: 0.2128 loss: 0.4572 2022/08/26 17:11:17 - mmengine - INFO - Epoch(train) [71][40/125] lr: 8.0000e-02 eta: 1:20:17 time: 0.5238 data_time: 0.2448 memory: 6443 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0111 loss_cls: 0.0967 acc: 96.6797 loss_bbox: 0.1385 loss_mask: 0.2208 loss: 0.4782 2022/08/26 17:11:19 - mmengine - INFO - Epoch(train) [71][45/125] lr: 8.0000e-02 eta: 1:20:17 time: 0.4106 data_time: 0.1362 memory: 5999 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0126 loss_cls: 0.0999 acc: 96.4111 loss_bbox: 0.1303 loss_mask: 0.2409 loss: 0.4951 2022/08/26 17:11:20 - mmengine - INFO - Epoch(train) [71][50/125] lr: 8.0000e-02 eta: 1:20:11 time: 0.3407 data_time: 0.0697 memory: 6450 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0138 loss_cls: 0.1017 acc: 97.9248 loss_bbox: 0.1358 loss_mask: 0.2313 loss: 0.4934 2022/08/26 17:11:22 - mmengine - INFO - Epoch(train) [71][55/125] lr: 8.0000e-02 eta: 1:20:11 time: 0.3134 data_time: 0.0385 memory: 6225 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0136 loss_cls: 0.1106 acc: 95.0439 loss_bbox: 0.1482 loss_mask: 0.2267 loss: 0.5101 2022/08/26 17:11:24 - mmengine - INFO - Epoch(train) [71][60/125] lr: 8.0000e-02 eta: 1:20:06 time: 0.3404 data_time: 0.0645 memory: 6376 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0144 loss_cls: 0.1048 acc: 97.3877 loss_bbox: 0.1335 loss_mask: 0.2272 loss: 0.4919 2022/08/26 17:11:26 - mmengine - INFO - Epoch(train) [71][65/125] lr: 8.0000e-02 eta: 1:20:06 time: 0.4364 data_time: 0.1093 memory: 6308 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0152 loss_cls: 0.1029 acc: 95.1416 loss_bbox: 0.1416 loss_mask: 0.2397 loss: 0.5120 2022/08/26 17:11:28 - mmengine - INFO - Epoch(train) [71][70/125] lr: 8.0000e-02 eta: 1:20:02 time: 0.4314 data_time: 0.1027 memory: 6399 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0146 loss_cls: 0.1045 acc: 97.1191 loss_bbox: 0.1484 loss_mask: 0.2457 loss: 0.5276 2022/08/26 17:11:30 - mmengine - INFO - Epoch(train) [71][75/125] lr: 8.0000e-02 eta: 1:20:02 time: 0.3470 data_time: 0.0692 memory: 5892 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0101 loss_cls: 0.0938 acc: 96.8994 loss_bbox: 0.1228 loss_mask: 0.2443 loss: 0.4850 2022/08/26 17:11:31 - mmengine - INFO - Epoch(train) [71][80/125] lr: 8.0000e-02 eta: 1:19:56 time: 0.3322 data_time: 0.0569 memory: 5934 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0120 loss_cls: 0.0872 acc: 94.9707 loss_bbox: 0.1066 loss_mask: 0.2320 loss: 0.4505 2022/08/26 17:11:33 - mmengine - INFO - Epoch(train) [71][85/125] lr: 8.0000e-02 eta: 1:19:56 time: 0.3307 data_time: 0.0529 memory: 6425 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0179 loss_cls: 0.0994 acc: 96.5332 loss_bbox: 0.1278 loss_mask: 0.2402 loss: 0.4999 2022/08/26 17:11:35 - mmengine - INFO - Epoch(train) [71][90/125] lr: 8.0000e-02 eta: 1:19:51 time: 0.3633 data_time: 0.0776 memory: 6268 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0164 loss_cls: 0.0951 acc: 95.4590 loss_bbox: 0.1259 loss_mask: 0.2395 loss: 0.4904 2022/08/26 17:11:38 - mmengine - INFO - Epoch(train) [71][95/125] lr: 8.0000e-02 eta: 1:19:51 time: 0.4717 data_time: 0.1848 memory: 6350 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0141 loss_cls: 0.0964 acc: 95.1904 loss_bbox: 0.1298 loss_mask: 0.2468 loss: 0.5004 2022/08/26 17:11:40 - mmengine - INFO - Epoch(train) [71][100/125] lr: 8.0000e-02 eta: 1:19:47 time: 0.4631 data_time: 0.1829 memory: 6499 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0216 loss_cls: 0.1071 acc: 96.8018 loss_bbox: 0.1444 loss_mask: 0.2451 loss: 0.5341 2022/08/26 17:11:41 - mmengine - INFO - Epoch(train) [71][105/125] lr: 8.0000e-02 eta: 1:19:47 time: 0.3602 data_time: 0.0833 memory: 6206 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0233 loss_cls: 0.0872 acc: 97.2168 loss_bbox: 0.1226 loss_mask: 0.2177 loss: 0.4630 2022/08/26 17:11:43 - mmengine - INFO - Epoch(train) [71][110/125] lr: 8.0000e-02 eta: 1:19:42 time: 0.3430 data_time: 0.0723 memory: 6164 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0168 loss_cls: 0.0938 acc: 96.9971 loss_bbox: 0.1312 loss_mask: 0.2294 loss: 0.4816 2022/08/26 17:11:47 - mmengine - INFO - Epoch(train) [71][115/125] lr: 8.0000e-02 eta: 1:19:42 time: 0.5555 data_time: 0.1893 memory: 6094 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0116 loss_cls: 0.1015 acc: 96.6064 loss_bbox: 0.1427 loss_mask: 0.2503 loss: 0.5156 2022/08/26 17:11:49 - mmengine - INFO - Epoch(train) [71][120/125] lr: 8.0000e-02 eta: 1:19:39 time: 0.5625 data_time: 0.1893 memory: 6236 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0112 loss_cls: 0.0930 acc: 97.2900 loss_bbox: 0.1290 loss_mask: 0.2552 loss: 0.4982 2022/08/26 17:11:50 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:11:50 - mmengine - INFO - Epoch(train) [71][125/125] lr: 8.0000e-02 eta: 1:19:39 time: 0.3295 data_time: 0.0504 memory: 6564 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0139 loss_cls: 0.0931 acc: 95.8984 loss_bbox: 0.1239 loss_mask: 0.2437 loss: 0.4855 2022/08/26 17:11:54 - mmengine - INFO - Epoch(train) [72][5/125] lr: 8.0000e-02 eta: 1:19:39 time: 0.5294 data_time: 0.2219 memory: 6356 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0153 loss_cls: 0.0990 acc: 94.7510 loss_bbox: 0.1404 loss_mask: 0.2389 loss: 0.5023 2022/08/26 17:11:56 - mmengine - INFO - Epoch(train) [72][10/125] lr: 8.0000e-02 eta: 1:19:32 time: 0.5908 data_time: 0.2786 memory: 6741 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0177 loss_cls: 0.1077 acc: 96.4355 loss_bbox: 0.1501 loss_mask: 0.2456 loss: 0.5302 2022/08/26 17:11:58 - mmengine - INFO - Epoch(train) [72][15/125] lr: 8.0000e-02 eta: 1:19:32 time: 0.3712 data_time: 0.0875 memory: 6409 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0143 loss_cls: 0.1047 acc: 96.8018 loss_bbox: 0.1423 loss_mask: 0.2311 loss: 0.5022 2022/08/26 17:12:00 - mmengine - INFO - Epoch(train) [72][20/125] lr: 8.0000e-02 eta: 1:19:27 time: 0.3508 data_time: 0.0639 memory: 6698 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0129 loss_cls: 0.1086 acc: 96.9971 loss_bbox: 0.1465 loss_mask: 0.2368 loss: 0.5150 2022/08/26 17:12:02 - mmengine - INFO - Epoch(train) [72][25/125] lr: 8.0000e-02 eta: 1:19:27 time: 0.3915 data_time: 0.1061 memory: 6334 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0175 loss_cls: 0.1114 acc: 96.1426 loss_bbox: 0.1497 loss_mask: 0.2493 loss: 0.5385 2022/08/26 17:12:04 - mmengine - INFO - Epoch(train) [72][30/125] lr: 8.0000e-02 eta: 1:19:22 time: 0.4000 data_time: 0.1138 memory: 6796 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0193 loss_cls: 0.1117 acc: 97.7295 loss_bbox: 0.1579 loss_mask: 0.2268 loss: 0.5279 2022/08/26 17:12:05 - mmengine - INFO - Epoch(train) [72][35/125] lr: 8.0000e-02 eta: 1:19:22 time: 0.3618 data_time: 0.0780 memory: 6187 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0145 loss_cls: 0.1068 acc: 94.3604 loss_bbox: 0.1458 loss_mask: 0.2281 loss: 0.5073 2022/08/26 17:12:07 - mmengine - INFO - Epoch(train) [72][40/125] lr: 8.0000e-02 eta: 1:19:17 time: 0.3536 data_time: 0.0813 memory: 6356 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0115 loss_cls: 0.1045 acc: 97.9736 loss_bbox: 0.1383 loss_mask: 0.2321 loss: 0.4952 2022/08/26 17:12:09 - mmengine - INFO - Epoch(train) [72][45/125] lr: 8.0000e-02 eta: 1:19:17 time: 0.3636 data_time: 0.0882 memory: 6103 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0130 loss_cls: 0.1011 acc: 95.3369 loss_bbox: 0.1316 loss_mask: 0.2329 loss: 0.4883 2022/08/26 17:12:11 - mmengine - INFO - Epoch(train) [72][50/125] lr: 8.0000e-02 eta: 1:19:12 time: 0.3918 data_time: 0.1130 memory: 6519 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0167 loss_cls: 0.1000 acc: 96.2158 loss_bbox: 0.1239 loss_mask: 0.2434 loss: 0.4978 2022/08/26 17:12:13 - mmengine - INFO - Epoch(train) [72][55/125] lr: 8.0000e-02 eta: 1:19:12 time: 0.3784 data_time: 0.1022 memory: 6200 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0153 loss_cls: 0.0953 acc: 97.2900 loss_bbox: 0.1251 loss_mask: 0.2288 loss: 0.4770 2022/08/26 17:12:15 - mmengine - INFO - Epoch(train) [72][60/125] lr: 8.0000e-02 eta: 1:19:07 time: 0.3615 data_time: 0.0634 memory: 6528 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0139 loss_cls: 0.1003 acc: 96.8994 loss_bbox: 0.1345 loss_mask: 0.2304 loss: 0.4888 2022/08/26 17:12:17 - mmengine - INFO - Epoch(train) [72][65/125] lr: 8.0000e-02 eta: 1:19:07 time: 0.3754 data_time: 0.0808 memory: 5954 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0152 loss_cls: 0.1058 acc: 96.2158 loss_bbox: 0.1344 loss_mask: 0.2478 loss: 0.5139 2022/08/26 17:12:19 - mmengine - INFO - Epoch(train) [72][70/125] lr: 8.0000e-02 eta: 1:19:02 time: 0.3898 data_time: 0.1174 memory: 6512 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0165 loss_cls: 0.1024 acc: 95.9717 loss_bbox: 0.1428 loss_mask: 0.2359 loss: 0.5089 2022/08/26 17:12:20 - mmengine - INFO - Epoch(train) [72][75/125] lr: 8.0000e-02 eta: 1:19:02 time: 0.3848 data_time: 0.1078 memory: 6359 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0167 loss_cls: 0.1028 acc: 97.9248 loss_bbox: 0.1487 loss_mask: 0.2322 loss: 0.5130 2022/08/26 17:12:22 - mmengine - INFO - Epoch(train) [72][80/125] lr: 8.0000e-02 eta: 1:18:57 time: 0.3208 data_time: 0.0502 memory: 6363 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0139 loss_cls: 0.0983 acc: 96.9238 loss_bbox: 0.1310 loss_mask: 0.2406 loss: 0.4963 2022/08/26 17:12:24 - mmengine - INFO - Epoch(train) [72][85/125] lr: 8.0000e-02 eta: 1:18:57 time: 0.3433 data_time: 0.0751 memory: 6386 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0162 loss_cls: 0.0998 acc: 97.7295 loss_bbox: 0.1306 loss_mask: 0.2551 loss: 0.5152 2022/08/26 17:12:27 - mmengine - INFO - Epoch(train) [72][90/125] lr: 8.0000e-02 eta: 1:18:53 time: 0.5186 data_time: 0.1213 memory: 6659 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0163 loss_cls: 0.1095 acc: 93.1152 loss_bbox: 0.1473 loss_mask: 0.2517 loss: 0.5392 2022/08/26 17:12:29 - mmengine - INFO - Epoch(train) [72][95/125] lr: 8.0000e-02 eta: 1:18:53 time: 0.5190 data_time: 0.1223 memory: 6558 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0141 loss_cls: 0.1131 acc: 95.7275 loss_bbox: 0.1563 loss_mask: 0.2492 loss: 0.5449 2022/08/26 17:12:31 - mmengine - INFO - Epoch(train) [72][100/125] lr: 8.0000e-02 eta: 1:18:48 time: 0.3638 data_time: 0.0924 memory: 6692 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0126 loss_cls: 0.1076 acc: 97.5586 loss_bbox: 0.1435 loss_mask: 0.2513 loss: 0.5251 2022/08/26 17:12:33 - mmengine - INFO - Epoch(train) [72][105/125] lr: 8.0000e-02 eta: 1:18:48 time: 0.4326 data_time: 0.1600 memory: 5983 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0120 loss_cls: 0.1042 acc: 97.7539 loss_bbox: 0.1320 loss_mask: 0.2323 loss: 0.4911 2022/08/26 17:12:35 - mmengine - INFO - Epoch(train) [72][110/125] lr: 8.0000e-02 eta: 1:18:44 time: 0.4453 data_time: 0.1498 memory: 6787 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0118 loss_cls: 0.1099 acc: 96.6309 loss_bbox: 0.1406 loss_mask: 0.2379 loss: 0.5111 2022/08/26 17:12:37 - mmengine - INFO - Epoch(train) [72][115/125] lr: 8.0000e-02 eta: 1:18:44 time: 0.3799 data_time: 0.0809 memory: 6173 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0126 loss_cls: 0.1106 acc: 97.0215 loss_bbox: 0.1479 loss_mask: 0.2530 loss: 0.5330 2022/08/26 17:12:39 - mmengine - INFO - Epoch(train) [72][120/125] lr: 8.0000e-02 eta: 1:18:40 time: 0.4127 data_time: 0.1342 memory: 6748 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0140 loss_cls: 0.1031 acc: 96.2646 loss_bbox: 0.1395 loss_mask: 0.2480 loss: 0.5146 2022/08/26 17:12:42 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:12:42 - mmengine - INFO - Epoch(train) [72][125/125] lr: 8.0000e-02 eta: 1:18:40 time: 0.4710 data_time: 0.1980 memory: 6191 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0129 loss_cls: 0.0916 acc: 97.1680 loss_bbox: 0.1271 loss_mask: 0.2459 loss: 0.4903 2022/08/26 17:12:46 - mmengine - INFO - Epoch(train) [73][5/125] lr: 8.0000e-02 eta: 1:18:40 time: 0.5961 data_time: 0.2981 memory: 6226 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0112 loss_cls: 0.0962 acc: 95.9717 loss_bbox: 0.1251 loss_mask: 0.2440 loss: 0.4871 2022/08/26 17:12:47 - mmengine - INFO - Epoch(train) [73][10/125] lr: 8.0000e-02 eta: 1:18:32 time: 0.5275 data_time: 0.2259 memory: 6235 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0129 loss_cls: 0.1079 acc: 96.7041 loss_bbox: 0.1371 loss_mask: 0.2287 loss: 0.4963 2022/08/26 17:12:49 - mmengine - INFO - Epoch(train) [73][15/125] lr: 8.0000e-02 eta: 1:18:32 time: 0.3793 data_time: 0.1017 memory: 6425 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0152 loss_cls: 0.1076 acc: 96.6064 loss_bbox: 0.1438 loss_mask: 0.2338 loss: 0.5139 2022/08/26 17:12:51 - mmengine - INFO - Epoch(train) [73][20/125] lr: 8.0000e-02 eta: 1:18:27 time: 0.3677 data_time: 0.0924 memory: 6212 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0122 loss_cls: 0.1053 acc: 96.1670 loss_bbox: 0.1380 loss_mask: 0.2613 loss: 0.5290 2022/08/26 17:12:53 - mmengine - INFO - Epoch(train) [73][25/125] lr: 8.0000e-02 eta: 1:18:27 time: 0.3501 data_time: 0.0836 memory: 6646 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0125 loss_cls: 0.0956 acc: 95.6543 loss_bbox: 0.1235 loss_mask: 0.2557 loss: 0.4988 2022/08/26 17:12:56 - mmengine - INFO - Epoch(train) [73][30/125] lr: 8.0000e-02 eta: 1:18:23 time: 0.4865 data_time: 0.1324 memory: 7873 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0191 loss_cls: 0.1149 acc: 95.6543 loss_bbox: 0.1497 loss_mask: 0.2264 loss: 0.5232 2022/08/26 17:12:58 - mmengine - INFO - Epoch(train) [73][35/125] lr: 8.0000e-02 eta: 1:18:23 time: 0.4960 data_time: 0.1397 memory: 6176 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0175 loss_cls: 0.1108 acc: 95.8252 loss_bbox: 0.1488 loss_mask: 0.2228 loss: 0.5118 2022/08/26 17:13:00 - mmengine - INFO - Epoch(train) [73][40/125] lr: 8.0000e-02 eta: 1:18:18 time: 0.3655 data_time: 0.0944 memory: 6167 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0108 loss_cls: 0.0881 acc: 96.8018 loss_bbox: 0.1231 loss_mask: 0.2305 loss: 0.4646 2022/08/26 17:13:01 - mmengine - INFO - Epoch(train) [73][45/125] lr: 8.0000e-02 eta: 1:18:18 time: 0.3561 data_time: 0.0821 memory: 5948 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0099 loss_cls: 0.0836 acc: 96.1914 loss_bbox: 0.1172 loss_mask: 0.2315 loss: 0.4547 2022/08/26 17:13:03 - mmengine - INFO - Epoch(train) [73][50/125] lr: 8.0000e-02 eta: 1:18:13 time: 0.3426 data_time: 0.0672 memory: 6401 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0110 loss_cls: 0.0837 acc: 97.9004 loss_bbox: 0.1284 loss_mask: 0.2235 loss: 0.4567 2022/08/26 17:13:05 - mmengine - INFO - Epoch(train) [73][55/125] lr: 8.0000e-02 eta: 1:18:13 time: 0.3258 data_time: 0.0463 memory: 6483 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0131 loss_cls: 0.0941 acc: 96.9482 loss_bbox: 0.1444 loss_mask: 0.2208 loss: 0.4817 2022/08/26 17:13:07 - mmengine - INFO - Epoch(train) [73][60/125] lr: 8.0000e-02 eta: 1:18:08 time: 0.3796 data_time: 0.0758 memory: 6287 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0119 loss_cls: 0.0864 acc: 97.2656 loss_bbox: 0.1218 loss_mask: 0.2220 loss: 0.4510 2022/08/26 17:13:09 - mmengine - INFO - Epoch(train) [73][65/125] lr: 8.0000e-02 eta: 1:18:08 time: 0.4196 data_time: 0.1157 memory: 6490 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0116 loss_cls: 0.0884 acc: 95.8984 loss_bbox: 0.1273 loss_mask: 0.2329 loss: 0.4702 2022/08/26 17:13:11 - mmengine - INFO - Epoch(train) [73][70/125] lr: 8.0000e-02 eta: 1:18:03 time: 0.4029 data_time: 0.1224 memory: 6378 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0144 loss_cls: 0.1069 acc: 94.0430 loss_bbox: 0.1521 loss_mask: 0.2466 loss: 0.5324 2022/08/26 17:13:13 - mmengine - INFO - Epoch(train) [73][75/125] lr: 8.0000e-02 eta: 1:18:03 time: 0.4008 data_time: 0.0961 memory: 6425 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0126 loss_cls: 0.1061 acc: 95.7520 loss_bbox: 0.1534 loss_mask: 0.2321 loss: 0.5154 2022/08/26 17:13:15 - mmengine - INFO - Epoch(train) [73][80/125] lr: 8.0000e-02 eta: 1:17:58 time: 0.3762 data_time: 0.0692 memory: 6561 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0136 loss_cls: 0.1044 acc: 95.3125 loss_bbox: 0.1509 loss_mask: 0.2164 loss: 0.4978 2022/08/26 17:13:17 - mmengine - INFO - Epoch(train) [73][85/125] lr: 8.0000e-02 eta: 1:17:58 time: 0.3737 data_time: 0.0873 memory: 6591 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0146 loss_cls: 0.1142 acc: 94.7754 loss_bbox: 0.1585 loss_mask: 0.2316 loss: 0.5329 2022/08/26 17:13:18 - mmengine - INFO - Epoch(train) [73][90/125] lr: 8.0000e-02 eta: 1:17:54 time: 0.3924 data_time: 0.1097 memory: 6669 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0131 loss_cls: 0.1130 acc: 95.9473 loss_bbox: 0.1588 loss_mask: 0.2310 loss: 0.5289 2022/08/26 17:13:20 - mmengine - INFO - Epoch(train) [73][95/125] lr: 8.0000e-02 eta: 1:17:54 time: 0.3508 data_time: 0.0811 memory: 6239 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0126 loss_cls: 0.1016 acc: 96.2891 loss_bbox: 0.1373 loss_mask: 0.2177 loss: 0.4809 2022/08/26 17:13:22 - mmengine - INFO - Epoch(train) [73][100/125] lr: 8.0000e-02 eta: 1:17:48 time: 0.3436 data_time: 0.0786 memory: 6203 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0104 loss_cls: 0.0931 acc: 97.9736 loss_bbox: 0.1209 loss_mask: 0.2349 loss: 0.4683 2022/08/26 17:13:24 - mmengine - INFO - Epoch(train) [73][105/125] lr: 8.0000e-02 eta: 1:17:48 time: 0.3683 data_time: 0.0994 memory: 6376 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0128 loss_cls: 0.1009 acc: 95.7031 loss_bbox: 0.1320 loss_mask: 0.2559 loss: 0.5104 2022/08/26 17:13:26 - mmengine - INFO - Epoch(train) [73][110/125] lr: 8.0000e-02 eta: 1:17:44 time: 0.4170 data_time: 0.1175 memory: 6542 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0141 loss_cls: 0.1079 acc: 95.0439 loss_bbox: 0.1438 loss_mask: 0.2462 loss: 0.5248 2022/08/26 17:13:28 - mmengine - INFO - Epoch(train) [73][115/125] lr: 8.0000e-02 eta: 1:17:44 time: 0.3947 data_time: 0.0937 memory: 6271 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0109 loss_cls: 0.1013 acc: 95.9717 loss_bbox: 0.1430 loss_mask: 0.2299 loss: 0.4972 2022/08/26 17:13:30 - mmengine - INFO - Epoch(train) [73][120/125] lr: 8.0000e-02 eta: 1:17:39 time: 0.3541 data_time: 0.0775 memory: 6426 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0127 loss_cls: 0.0955 acc: 97.0459 loss_bbox: 0.1380 loss_mask: 0.2220 loss: 0.4777 2022/08/26 17:13:32 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:13:32 - mmengine - INFO - Epoch(train) [73][125/125] lr: 8.0000e-02 eta: 1:17:39 time: 0.3908 data_time: 0.1062 memory: 6780 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0180 loss_cls: 0.1090 acc: 94.0918 loss_bbox: 0.1578 loss_mask: 0.2215 loss: 0.5172 2022/08/26 17:13:36 - mmengine - INFO - Epoch(train) [74][5/125] lr: 8.0000e-02 eta: 1:17:39 time: 0.6084 data_time: 0.2372 memory: 6431 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0166 loss_cls: 0.1206 acc: 93.7988 loss_bbox: 0.1740 loss_mask: 0.2234 loss: 0.5460 2022/08/26 17:13:38 - mmengine - INFO - Epoch(train) [74][10/125] lr: 8.0000e-02 eta: 1:17:32 time: 0.5956 data_time: 0.2343 memory: 6425 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0110 loss_cls: 0.1054 acc: 96.9238 loss_bbox: 0.1523 loss_mask: 0.2224 loss: 0.5012 2022/08/26 17:13:40 - mmengine - INFO - Epoch(train) [74][15/125] lr: 8.0000e-02 eta: 1:17:32 time: 0.4389 data_time: 0.1636 memory: 6567 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0096 loss_cls: 0.1047 acc: 97.2656 loss_bbox: 0.1419 loss_mask: 0.2298 loss: 0.4958 2022/08/26 17:13:42 - mmengine - INFO - Epoch(train) [74][20/125] lr: 8.0000e-02 eta: 1:17:28 time: 0.4566 data_time: 0.1785 memory: 6763 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0130 loss_cls: 0.1143 acc: 92.9932 loss_bbox: 0.1474 loss_mask: 0.2274 loss: 0.5124 2022/08/26 17:13:44 - mmengine - INFO - Epoch(train) [74][25/125] lr: 8.0000e-02 eta: 1:17:28 time: 0.3961 data_time: 0.1180 memory: 6059 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0133 loss_cls: 0.1079 acc: 95.7520 loss_bbox: 0.1408 loss_mask: 0.2232 loss: 0.4963 2022/08/26 17:13:46 - mmengine - INFO - Epoch(train) [74][30/125] lr: 8.0000e-02 eta: 1:17:23 time: 0.3983 data_time: 0.1025 memory: 6786 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0126 loss_cls: 0.1010 acc: 96.7041 loss_bbox: 0.1392 loss_mask: 0.2220 loss: 0.4848 2022/08/26 17:13:48 - mmengine - INFO - Epoch(train) [74][35/125] lr: 8.0000e-02 eta: 1:17:23 time: 0.3683 data_time: 0.0770 memory: 6064 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0114 loss_cls: 0.0894 acc: 95.7520 loss_bbox: 0.1315 loss_mask: 0.2259 loss: 0.4669 2022/08/26 17:13:50 - mmengine - INFO - Epoch(train) [74][40/125] lr: 8.0000e-02 eta: 1:17:18 time: 0.3385 data_time: 0.0656 memory: 6045 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0096 loss_cls: 0.0956 acc: 96.9238 loss_bbox: 0.1249 loss_mask: 0.2444 loss: 0.4859 2022/08/26 17:13:52 - mmengine - INFO - Epoch(train) [74][45/125] lr: 8.0000e-02 eta: 1:17:18 time: 0.3573 data_time: 0.0816 memory: 6041 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0125 loss_cls: 0.1094 acc: 96.0205 loss_bbox: 0.1349 loss_mask: 0.2411 loss: 0.5105 2022/08/26 17:13:54 - mmengine - INFO - Epoch(train) [74][50/125] lr: 8.0000e-02 eta: 1:17:13 time: 0.3977 data_time: 0.1174 memory: 6479 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0139 loss_cls: 0.1072 acc: 95.0439 loss_bbox: 0.1372 loss_mask: 0.2297 loss: 0.4997 2022/08/26 17:13:56 - mmengine - INFO - Epoch(train) [74][55/125] lr: 8.0000e-02 eta: 1:17:13 time: 0.4309 data_time: 0.1309 memory: 6173 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0137 loss_cls: 0.1027 acc: 95.8496 loss_bbox: 0.1334 loss_mask: 0.2476 loss: 0.5090 2022/08/26 17:13:57 - mmengine - INFO - Epoch(train) [74][60/125] lr: 8.0000e-02 eta: 1:17:08 time: 0.3674 data_time: 0.0725 memory: 6434 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0108 loss_cls: 0.1005 acc: 96.7529 loss_bbox: 0.1310 loss_mask: 0.2640 loss: 0.5160 2022/08/26 17:13:59 - mmengine - INFO - Epoch(train) [74][65/125] lr: 8.0000e-02 eta: 1:17:08 time: 0.3173 data_time: 0.0429 memory: 6217 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0135 loss_cls: 0.1092 acc: 96.2891 loss_bbox: 0.1411 loss_mask: 0.2552 loss: 0.5293 2022/08/26 17:14:01 - mmengine - INFO - Epoch(train) [74][70/125] lr: 8.0000e-02 eta: 1:17:03 time: 0.3329 data_time: 0.0553 memory: 6207 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0196 loss_cls: 0.1111 acc: 94.3359 loss_bbox: 0.1414 loss_mask: 0.2537 loss: 0.5377 2022/08/26 17:14:03 - mmengine - INFO - Epoch(train) [74][75/125] lr: 8.0000e-02 eta: 1:17:03 time: 0.3568 data_time: 0.0782 memory: 6311 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0208 loss_cls: 0.1130 acc: 95.8984 loss_bbox: 0.1505 loss_mask: 0.2536 loss: 0.5489 2022/08/26 17:14:05 - mmengine - INFO - Epoch(train) [74][80/125] lr: 8.0000e-02 eta: 1:16:58 time: 0.3931 data_time: 0.1177 memory: 6225 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0164 loss_cls: 0.1092 acc: 97.5830 loss_bbox: 0.1476 loss_mask: 0.2427 loss: 0.5272 2022/08/26 17:14:07 - mmengine - INFO - Epoch(train) [74][85/125] lr: 8.0000e-02 eta: 1:16:58 time: 0.4243 data_time: 0.1205 memory: 6235 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0183 loss_cls: 0.1024 acc: 96.7041 loss_bbox: 0.1355 loss_mask: 0.2341 loss: 0.5061 2022/08/26 17:14:09 - mmengine - INFO - Epoch(train) [74][90/125] lr: 8.0000e-02 eta: 1:16:54 time: 0.4253 data_time: 0.1235 memory: 6041 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0180 loss_cls: 0.0933 acc: 97.1680 loss_bbox: 0.1217 loss_mask: 0.2252 loss: 0.4724 2022/08/26 17:14:10 - mmengine - INFO - Epoch(train) [74][95/125] lr: 8.0000e-02 eta: 1:16:54 time: 0.3516 data_time: 0.0873 memory: 6242 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0120 loss_cls: 0.0876 acc: 96.0449 loss_bbox: 0.1083 loss_mask: 0.2362 loss: 0.4542 2022/08/26 17:14:12 - mmengine - INFO - Epoch(train) [74][100/125] lr: 8.0000e-02 eta: 1:16:49 time: 0.3383 data_time: 0.0714 memory: 6561 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0152 loss_cls: 0.0979 acc: 95.0684 loss_bbox: 0.1366 loss_mask: 0.2363 loss: 0.5001 2022/08/26 17:14:14 - mmengine - INFO - Epoch(train) [74][105/125] lr: 8.0000e-02 eta: 1:16:49 time: 0.3630 data_time: 0.0866 memory: 6562 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0155 loss_cls: 0.0973 acc: 97.7783 loss_bbox: 0.1458 loss_mask: 0.2199 loss: 0.4931 2022/08/26 17:14:17 - mmengine - INFO - Epoch(train) [74][110/125] lr: 8.0000e-02 eta: 1:16:44 time: 0.4257 data_time: 0.1266 memory: 6137 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0122 loss_cls: 0.0944 acc: 96.2646 loss_bbox: 0.1310 loss_mask: 0.2329 loss: 0.4813 2022/08/26 17:14:18 - mmengine - INFO - Epoch(train) [74][115/125] lr: 8.0000e-02 eta: 1:16:44 time: 0.4348 data_time: 0.1316 memory: 6467 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0125 loss_cls: 0.1048 acc: 95.6299 loss_bbox: 0.1389 loss_mask: 0.2369 loss: 0.5050 2022/08/26 17:14:20 - mmengine - INFO - Epoch(train) [74][120/125] lr: 8.0000e-02 eta: 1:16:39 time: 0.3832 data_time: 0.0841 memory: 6598 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0155 loss_cls: 0.1183 acc: 95.8252 loss_bbox: 0.1603 loss_mask: 0.2301 loss: 0.5398 2022/08/26 17:14:22 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:14:22 - mmengine - INFO - Epoch(train) [74][125/125] lr: 8.0000e-02 eta: 1:16:39 time: 0.3596 data_time: 0.0667 memory: 6663 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0188 loss_cls: 0.1204 acc: 95.4590 loss_bbox: 0.1676 loss_mask: 0.2462 loss: 0.5658 2022/08/26 17:14:25 - mmengine - INFO - Epoch(train) [75][5/125] lr: 8.0000e-02 eta: 1:16:39 time: 0.4739 data_time: 0.1996 memory: 6813 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0182 loss_cls: 0.1035 acc: 96.1914 loss_bbox: 0.1523 loss_mask: 0.2298 loss: 0.5144 2022/08/26 17:14:28 - mmengine - INFO - Epoch(train) [75][10/125] lr: 8.0000e-02 eta: 1:16:32 time: 0.5557 data_time: 0.2580 memory: 7280 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0153 loss_cls: 0.1031 acc: 96.6309 loss_bbox: 0.1602 loss_mask: 0.2083 loss: 0.4983 2022/08/26 17:14:30 - mmengine - INFO - Epoch(train) [75][15/125] lr: 8.0000e-02 eta: 1:16:32 time: 0.4318 data_time: 0.1316 memory: 6467 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0156 loss_cls: 0.1118 acc: 96.8750 loss_bbox: 0.1632 loss_mask: 0.2251 loss: 0.5260 2022/08/26 17:14:31 - mmengine - INFO - Epoch(train) [75][20/125] lr: 8.0000e-02 eta: 1:16:27 time: 0.3682 data_time: 0.0928 memory: 6278 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0153 loss_cls: 0.1039 acc: 96.6553 loss_bbox: 0.1394 loss_mask: 0.2344 loss: 0.5014 2022/08/26 17:14:33 - mmengine - INFO - Epoch(train) [75][25/125] lr: 8.0000e-02 eta: 1:16:27 time: 0.3329 data_time: 0.0602 memory: 6617 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0159 loss_cls: 0.1138 acc: 94.9219 loss_bbox: 0.1474 loss_mask: 0.2366 loss: 0.5234 2022/08/26 17:14:36 - mmengine - INFO - Epoch(train) [75][30/125] lr: 8.0000e-02 eta: 1:16:23 time: 0.4357 data_time: 0.1004 memory: 6646 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0175 loss_cls: 0.1168 acc: 96.4600 loss_bbox: 0.1662 loss_mask: 0.2335 loss: 0.5445 2022/08/26 17:14:38 - mmengine - INFO - Epoch(train) [75][35/125] lr: 8.0000e-02 eta: 1:16:23 time: 0.4629 data_time: 0.1188 memory: 6460 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0145 loss_cls: 0.1038 acc: 96.8506 loss_bbox: 0.1504 loss_mask: 0.2182 loss: 0.4950 2022/08/26 17:14:39 - mmengine - INFO - Epoch(train) [75][40/125] lr: 8.0000e-02 eta: 1:16:18 time: 0.3622 data_time: 0.0779 memory: 6672 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0150 loss_cls: 0.1106 acc: 97.0459 loss_bbox: 0.1488 loss_mask: 0.2296 loss: 0.5151 2022/08/26 17:14:41 - mmengine - INFO - Epoch(train) [75][45/125] lr: 8.0000e-02 eta: 1:16:18 time: 0.3747 data_time: 0.0911 memory: 6499 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0158 loss_cls: 0.1092 acc: 98.0957 loss_bbox: 0.1458 loss_mask: 0.2406 loss: 0.5253 2022/08/26 17:14:43 - mmengine - INFO - Epoch(train) [75][50/125] lr: 8.0000e-02 eta: 1:16:13 time: 0.3753 data_time: 0.0922 memory: 6402 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0137 loss_cls: 0.1063 acc: 94.0918 loss_bbox: 0.1384 loss_mask: 0.2437 loss: 0.5149 2022/08/26 17:14:45 - mmengine - INFO - Epoch(train) [75][55/125] lr: 8.0000e-02 eta: 1:16:13 time: 0.3482 data_time: 0.0722 memory: 6107 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0153 loss_cls: 0.1011 acc: 96.0693 loss_bbox: 0.1399 loss_mask: 0.2409 loss: 0.5088 2022/08/26 17:14:47 - mmengine - INFO - Epoch(train) [75][60/125] lr: 8.0000e-02 eta: 1:16:09 time: 0.4150 data_time: 0.0714 memory: 6170 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0134 loss_cls: 0.0865 acc: 97.6074 loss_bbox: 0.1183 loss_mask: 0.2366 loss: 0.4659 2022/08/26 17:14:49 - mmengine - INFO - Epoch(train) [75][65/125] lr: 8.0000e-02 eta: 1:16:09 time: 0.4590 data_time: 0.0949 memory: 6160 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0112 loss_cls: 0.0906 acc: 96.6553 loss_bbox: 0.1130 loss_mask: 0.2432 loss: 0.4679 2022/08/26 17:14:51 - mmengine - INFO - Epoch(train) [75][70/125] lr: 8.0000e-02 eta: 1:16:04 time: 0.4138 data_time: 0.1152 memory: 6564 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0125 loss_cls: 0.0971 acc: 96.7529 loss_bbox: 0.1232 loss_mask: 0.2444 loss: 0.4871 2022/08/26 17:14:53 - mmengine - INFO - Epoch(train) [75][75/125] lr: 8.0000e-02 eta: 1:16:04 time: 0.3688 data_time: 0.0929 memory: 6632 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0140 loss_cls: 0.0992 acc: 96.5088 loss_bbox: 0.1349 loss_mask: 0.2335 loss: 0.4923 2022/08/26 17:14:55 - mmengine - INFO - Epoch(train) [75][80/125] lr: 8.0000e-02 eta: 1:15:59 time: 0.3330 data_time: 0.0604 memory: 6169 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0160 loss_cls: 0.1016 acc: 95.0195 loss_bbox: 0.1412 loss_mask: 0.2152 loss: 0.4835 2022/08/26 17:14:56 - mmengine - INFO - Epoch(train) [75][85/125] lr: 8.0000e-02 eta: 1:15:59 time: 0.3364 data_time: 0.0638 memory: 6378 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0134 loss_cls: 0.0964 acc: 96.3867 loss_bbox: 0.1358 loss_mask: 0.2149 loss: 0.4706 2022/08/26 17:14:58 - mmengine - INFO - Epoch(train) [75][90/125] lr: 8.0000e-02 eta: 1:15:54 time: 0.3726 data_time: 0.0755 memory: 7435 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0125 loss_cls: 0.0974 acc: 97.4854 loss_bbox: 0.1476 loss_mask: 0.2229 loss: 0.4908 2022/08/26 17:15:00 - mmengine - INFO - Epoch(train) [75][95/125] lr: 8.0000e-02 eta: 1:15:54 time: 0.4041 data_time: 0.0808 memory: 7980 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0153 loss_cls: 0.1161 acc: 95.8496 loss_bbox: 0.1777 loss_mask: 0.2285 loss: 0.5475 2022/08/26 17:15:02 - mmengine - INFO - Epoch(train) [75][100/125] lr: 8.0000e-02 eta: 1:15:49 time: 0.4040 data_time: 0.0993 memory: 6303 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0163 loss_cls: 0.1198 acc: 95.3369 loss_bbox: 0.1728 loss_mask: 0.2304 loss: 0.5494 2022/08/26 17:15:04 - mmengine - INFO - Epoch(train) [75][105/125] lr: 8.0000e-02 eta: 1:15:49 time: 0.3877 data_time: 0.1065 memory: 6200 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0142 loss_cls: 0.1089 acc: 97.9492 loss_bbox: 0.1435 loss_mask: 0.2322 loss: 0.5091 2022/08/26 17:15:06 - mmengine - INFO - Epoch(train) [75][110/125] lr: 8.0000e-02 eta: 1:15:45 time: 0.3819 data_time: 0.0909 memory: 6189 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0111 loss_cls: 0.0981 acc: 97.0215 loss_bbox: 0.1196 loss_mask: 0.2458 loss: 0.4847 2022/08/26 17:15:08 - mmengine - INFO - Epoch(train) [75][115/125] lr: 8.0000e-02 eta: 1:15:45 time: 0.3658 data_time: 0.0733 memory: 6480 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0127 loss_cls: 0.1048 acc: 95.3857 loss_bbox: 0.1327 loss_mask: 0.2403 loss: 0.5016 2022/08/26 17:15:10 - mmengine - INFO - Epoch(train) [75][120/125] lr: 8.0000e-02 eta: 1:15:39 time: 0.3493 data_time: 0.0728 memory: 5997 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0147 loss_cls: 0.1096 acc: 96.7041 loss_bbox: 0.1376 loss_mask: 0.2343 loss: 0.5110 2022/08/26 17:15:11 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:15:11 - mmengine - INFO - Epoch(train) [75][125/125] lr: 8.0000e-02 eta: 1:15:39 time: 0.3342 data_time: 0.0614 memory: 6434 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0154 loss_cls: 0.1047 acc: 96.6553 loss_bbox: 0.1279 loss_mask: 0.2512 loss: 0.5154 2022/08/26 17:15:16 - mmengine - INFO - Epoch(train) [76][5/125] lr: 8.0000e-02 eta: 1:15:39 time: 0.5446 data_time: 0.2408 memory: 6144 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0143 loss_cls: 0.1013 acc: 96.4844 loss_bbox: 0.1317 loss_mask: 0.2439 loss: 0.5045 2022/08/26 17:15:17 - mmengine - INFO - Epoch(train) [76][10/125] lr: 8.0000e-02 eta: 1:15:32 time: 0.5720 data_time: 0.2665 memory: 6532 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0126 loss_cls: 0.1076 acc: 95.9473 loss_bbox: 0.1359 loss_mask: 0.2220 loss: 0.4913 2022/08/26 17:15:19 - mmengine - INFO - Epoch(train) [76][15/125] lr: 8.0000e-02 eta: 1:15:32 time: 0.3461 data_time: 0.0673 memory: 6470 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0134 loss_cls: 0.1092 acc: 97.4121 loss_bbox: 0.1354 loss_mask: 0.2071 loss: 0.4787 2022/08/26 17:15:21 - mmengine - INFO - Epoch(train) [76][20/125] lr: 8.0000e-02 eta: 1:15:27 time: 0.3374 data_time: 0.0625 memory: 6085 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0117 loss_cls: 0.0927 acc: 96.6309 loss_bbox: 0.1211 loss_mask: 0.2190 loss: 0.4544 2022/08/26 17:15:23 - mmengine - INFO - Epoch(train) [76][25/125] lr: 8.0000e-02 eta: 1:15:27 time: 0.3973 data_time: 0.1193 memory: 6281 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0144 loss_cls: 0.0978 acc: 96.2158 loss_bbox: 0.1242 loss_mask: 0.2401 loss: 0.4844 2022/08/26 17:15:25 - mmengine - INFO - Epoch(train) [76][30/125] lr: 8.0000e-02 eta: 1:15:23 time: 0.4100 data_time: 0.1325 memory: 6480 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0181 loss_cls: 0.1079 acc: 97.4365 loss_bbox: 0.1312 loss_mask: 0.2452 loss: 0.5121 2022/08/26 17:15:27 - mmengine - INFO - Epoch(train) [76][35/125] lr: 8.0000e-02 eta: 1:15:23 time: 0.3680 data_time: 0.0947 memory: 6300 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0148 loss_cls: 0.1080 acc: 96.1426 loss_bbox: 0.1340 loss_mask: 0.2307 loss: 0.4977 2022/08/26 17:15:28 - mmengine - INFO - Epoch(train) [76][40/125] lr: 8.0000e-02 eta: 1:15:17 time: 0.3440 data_time: 0.0707 memory: 6140 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0111 loss_cls: 0.0942 acc: 96.7529 loss_bbox: 0.1223 loss_mask: 0.2273 loss: 0.4639 2022/08/26 17:15:30 - mmengine - INFO - Epoch(train) [76][45/125] lr: 8.0000e-02 eta: 1:15:17 time: 0.3537 data_time: 0.0700 memory: 6577 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0114 loss_cls: 0.0997 acc: 95.2148 loss_bbox: 0.1347 loss_mask: 0.2360 loss: 0.4933 2022/08/26 17:15:32 - mmengine - INFO - Epoch(train) [76][50/125] lr: 8.0000e-02 eta: 1:15:12 time: 0.3615 data_time: 0.0752 memory: 6235 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0139 loss_cls: 0.1059 acc: 97.4365 loss_bbox: 0.1458 loss_mask: 0.2529 loss: 0.5306 2022/08/26 17:15:34 - mmengine - INFO - Epoch(train) [76][55/125] lr: 8.0000e-02 eta: 1:15:12 time: 0.3555 data_time: 0.0792 memory: 6356 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0130 loss_cls: 0.0988 acc: 96.0938 loss_bbox: 0.1382 loss_mask: 0.2617 loss: 0.5201 2022/08/26 17:15:37 - mmengine - INFO - Epoch(train) [76][60/125] lr: 8.0000e-02 eta: 1:15:09 time: 0.5239 data_time: 0.0911 memory: 6558 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0121 loss_cls: 0.1086 acc: 95.5811 loss_bbox: 0.1480 loss_mask: 0.2502 loss: 0.5300 2022/08/26 17:15:39 - mmengine - INFO - Epoch(train) [76][65/125] lr: 8.0000e-02 eta: 1:15:09 time: 0.5182 data_time: 0.0860 memory: 6512 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0151 loss_cls: 0.1146 acc: 93.3350 loss_bbox: 0.1528 loss_mask: 0.2419 loss: 0.5415 2022/08/26 17:15:41 - mmengine - INFO - Epoch(train) [76][70/125] lr: 8.0000e-02 eta: 1:15:04 time: 0.3655 data_time: 0.0883 memory: 6022 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0142 loss_cls: 0.0981 acc: 96.4600 loss_bbox: 0.1309 loss_mask: 0.2400 loss: 0.4978 2022/08/26 17:15:43 - mmengine - INFO - Epoch(train) [76][75/125] lr: 8.0000e-02 eta: 1:15:04 time: 0.3632 data_time: 0.0842 memory: 6399 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0118 loss_cls: 0.0912 acc: 96.7773 loss_bbox: 0.1303 loss_mask: 0.2313 loss: 0.4751 2022/08/26 17:15:44 - mmengine - INFO - Epoch(train) [76][80/125] lr: 8.0000e-02 eta: 1:14:59 time: 0.3376 data_time: 0.0611 memory: 6388 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0116 loss_cls: 0.1064 acc: 97.2412 loss_bbox: 0.1471 loss_mask: 0.2271 loss: 0.5017 2022/08/26 17:15:47 - mmengine - INFO - Epoch(train) [76][85/125] lr: 8.0000e-02 eta: 1:14:59 time: 0.4328 data_time: 0.1596 memory: 6453 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0133 loss_cls: 0.1079 acc: 95.9229 loss_bbox: 0.1456 loss_mask: 0.2346 loss: 0.5115 2022/08/26 17:15:49 - mmengine - INFO - Epoch(train) [76][90/125] lr: 8.0000e-02 eta: 1:14:55 time: 0.4496 data_time: 0.1733 memory: 6489 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0167 loss_cls: 0.1073 acc: 96.5820 loss_bbox: 0.1497 loss_mask: 0.2282 loss: 0.5121 2022/08/26 17:15:51 - mmengine - INFO - Epoch(train) [76][95/125] lr: 8.0000e-02 eta: 1:14:55 time: 0.3769 data_time: 0.0743 memory: 7587 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0153 loss_cls: 0.1049 acc: 97.7051 loss_bbox: 0.1416 loss_mask: 0.2254 loss: 0.4962 2022/08/26 17:15:52 - mmengine - INFO - Epoch(train) [76][100/125] lr: 8.0000e-02 eta: 1:14:50 time: 0.3799 data_time: 0.0728 memory: 6672 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0150 loss_cls: 0.1133 acc: 92.5293 loss_bbox: 0.1561 loss_mask: 0.2370 loss: 0.5334 2022/08/26 17:15:54 - mmengine - INFO - Epoch(train) [76][105/125] lr: 8.0000e-02 eta: 1:14:50 time: 0.3578 data_time: 0.0775 memory: 6022 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0163 loss_cls: 0.1112 acc: 96.0693 loss_bbox: 0.1538 loss_mask: 0.2387 loss: 0.5326 2022/08/26 17:15:57 - mmengine - INFO - Epoch(train) [76][110/125] lr: 8.0000e-02 eta: 1:14:47 time: 0.4883 data_time: 0.1502 memory: 6467 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0167 loss_cls: 0.0942 acc: 95.6055 loss_bbox: 0.1394 loss_mask: 0.2201 loss: 0.4803 2022/08/26 17:15:59 - mmengine - INFO - Epoch(train) [76][115/125] lr: 8.0000e-02 eta: 1:14:47 time: 0.4863 data_time: 0.1501 memory: 6346 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0146 loss_cls: 0.0959 acc: 96.5576 loss_bbox: 0.1409 loss_mask: 0.2308 loss: 0.4928 2022/08/26 17:16:01 - mmengine - INFO - Epoch(train) [76][120/125] lr: 8.0000e-02 eta: 1:14:42 time: 0.3860 data_time: 0.1114 memory: 6372 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0138 loss_cls: 0.1012 acc: 94.2871 loss_bbox: 0.1356 loss_mask: 0.2375 loss: 0.5017 2022/08/26 17:16:03 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:16:03 - mmengine - INFO - Epoch(train) [76][125/125] lr: 8.0000e-02 eta: 1:14:42 time: 0.3613 data_time: 0.0929 memory: 6077 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0124 loss_cls: 0.0904 acc: 96.6797 loss_bbox: 0.1221 loss_mask: 0.2184 loss: 0.4544 2022/08/26 17:16:06 - mmengine - INFO - Epoch(train) [77][5/125] lr: 8.0000e-02 eta: 1:14:42 time: 0.4777 data_time: 0.1853 memory: 6431 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0103 loss_cls: 0.0860 acc: 96.0449 loss_bbox: 0.1255 loss_mask: 0.2178 loss: 0.4476 2022/08/26 17:16:08 - mmengine - INFO - Epoch(train) [77][10/125] lr: 8.0000e-02 eta: 1:14:34 time: 0.5359 data_time: 0.2288 memory: 6363 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0115 loss_cls: 0.1048 acc: 95.4346 loss_bbox: 0.1474 loss_mask: 0.2368 loss: 0.5110 2022/08/26 17:16:10 - mmengine - INFO - Epoch(train) [77][15/125] lr: 8.0000e-02 eta: 1:14:34 time: 0.3866 data_time: 0.0996 memory: 6506 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0162 loss_cls: 0.1149 acc: 93.5303 loss_bbox: 0.1605 loss_mask: 0.2445 loss: 0.5485 2022/08/26 17:16:12 - mmengine - INFO - Epoch(train) [77][20/125] lr: 8.0000e-02 eta: 1:14:29 time: 0.3502 data_time: 0.0710 memory: 6685 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0207 loss_cls: 0.1024 acc: 96.0693 loss_bbox: 0.1487 loss_mask: 0.2364 loss: 0.5203 2022/08/26 17:16:13 - mmengine - INFO - Epoch(train) [77][25/125] lr: 8.0000e-02 eta: 1:14:29 time: 0.3333 data_time: 0.0591 memory: 6363 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0179 loss_cls: 0.1000 acc: 94.9219 loss_bbox: 0.1353 loss_mask: 0.2332 loss: 0.4975 2022/08/26 17:16:16 - mmengine - INFO - Epoch(train) [77][30/125] lr: 8.0000e-02 eta: 1:14:25 time: 0.4243 data_time: 0.1117 memory: 6311 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0177 loss_cls: 0.1075 acc: 96.2646 loss_bbox: 0.1475 loss_mask: 0.2349 loss: 0.5170 2022/08/26 17:16:18 - mmengine - INFO - Epoch(train) [77][35/125] lr: 8.0000e-02 eta: 1:14:25 time: 0.4464 data_time: 0.1161 memory: 7641 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0171 loss_cls: 0.1033 acc: 96.9971 loss_bbox: 0.1491 loss_mask: 0.2308 loss: 0.5086 2022/08/26 17:16:20 - mmengine - INFO - Epoch(train) [77][40/125] lr: 8.0000e-02 eta: 1:14:20 time: 0.3842 data_time: 0.0982 memory: 6080 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0141 loss_cls: 0.0961 acc: 97.0947 loss_bbox: 0.1352 loss_mask: 0.2233 loss: 0.4783 2022/08/26 17:16:22 - mmengine - INFO - Epoch(train) [77][45/125] lr: 8.0000e-02 eta: 1:14:20 time: 0.3759 data_time: 0.1090 memory: 6554 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0125 loss_cls: 0.0927 acc: 96.4111 loss_bbox: 0.1255 loss_mask: 0.2264 loss: 0.4671 2022/08/26 17:16:23 - mmengine - INFO - Epoch(train) [77][50/125] lr: 8.0000e-02 eta: 1:14:15 time: 0.3592 data_time: 0.0838 memory: 6675 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0137 loss_cls: 0.0981 acc: 97.8516 loss_bbox: 0.1310 loss_mask: 0.2418 loss: 0.4969 2022/08/26 17:16:25 - mmengine - INFO - Epoch(train) [77][55/125] lr: 8.0000e-02 eta: 1:14:15 time: 0.3888 data_time: 0.0988 memory: 6235 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0175 loss_cls: 0.0936 acc: 96.1914 loss_bbox: 0.1291 loss_mask: 0.2427 loss: 0.4975 2022/08/26 17:16:28 - mmengine - INFO - Epoch(train) [77][60/125] lr: 8.0000e-02 eta: 1:14:11 time: 0.4405 data_time: 0.1324 memory: 6787 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0174 loss_cls: 0.0989 acc: 94.9707 loss_bbox: 0.1413 loss_mask: 0.2372 loss: 0.5078 2022/08/26 17:16:30 - mmengine - INFO - Epoch(train) [77][65/125] lr: 8.0000e-02 eta: 1:14:11 time: 0.4262 data_time: 0.1284 memory: 6163 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0125 loss_cls: 0.0922 acc: 96.1914 loss_bbox: 0.1308 loss_mask: 0.2213 loss: 0.4653 2022/08/26 17:16:32 - mmengine - INFO - Epoch(train) [77][70/125] lr: 8.0000e-02 eta: 1:14:06 time: 0.3689 data_time: 0.0868 memory: 6441 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0140 loss_cls: 0.0802 acc: 96.6797 loss_bbox: 0.1242 loss_mask: 0.2130 loss: 0.4425 2022/08/26 17:16:34 - mmengine - INFO - Epoch(train) [77][75/125] lr: 8.0000e-02 eta: 1:14:06 time: 0.4119 data_time: 0.1094 memory: 7564 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0161 loss_cls: 0.0938 acc: 92.7246 loss_bbox: 0.1466 loss_mask: 0.2244 loss: 0.4930 2022/08/26 17:16:35 - mmengine - INFO - Epoch(train) [77][80/125] lr: 8.0000e-02 eta: 1:14:02 time: 0.3981 data_time: 0.1009 memory: 6200 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0116 loss_cls: 0.0977 acc: 96.4844 loss_bbox: 0.1344 loss_mask: 0.2351 loss: 0.4866 2022/08/26 17:16:37 - mmengine - INFO - Epoch(train) [77][85/125] lr: 8.0000e-02 eta: 1:14:02 time: 0.3358 data_time: 0.0624 memory: 6539 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0131 loss_cls: 0.1005 acc: 97.0215 loss_bbox: 0.1239 loss_mask: 0.2328 loss: 0.4791 2022/08/26 17:16:39 - mmengine - INFO - Epoch(train) [77][90/125] lr: 8.0000e-02 eta: 1:13:56 time: 0.3451 data_time: 0.0728 memory: 6100 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0158 loss_cls: 0.0978 acc: 96.6064 loss_bbox: 0.1219 loss_mask: 0.2218 loss: 0.4677 2022/08/26 17:16:41 - mmengine - INFO - Epoch(train) [77][95/125] lr: 8.0000e-02 eta: 1:13:56 time: 0.3639 data_time: 0.0907 memory: 6310 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0128 loss_cls: 0.0956 acc: 97.0459 loss_bbox: 0.1243 loss_mask: 0.2334 loss: 0.4765 2022/08/26 17:16:43 - mmengine - INFO - Epoch(train) [77][100/125] lr: 8.0000e-02 eta: 1:13:52 time: 0.3749 data_time: 0.0957 memory: 6544 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0092 loss_cls: 0.0975 acc: 96.8994 loss_bbox: 0.1358 loss_mask: 0.2251 loss: 0.4760 2022/08/26 17:16:44 - mmengine - INFO - Epoch(train) [77][105/125] lr: 8.0000e-02 eta: 1:13:52 time: 0.3615 data_time: 0.0841 memory: 6311 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0114 loss_cls: 0.1033 acc: 97.2656 loss_bbox: 0.1390 loss_mask: 0.2228 loss: 0.4896 2022/08/26 17:16:48 - mmengine - INFO - Epoch(train) [77][110/125] lr: 8.0000e-02 eta: 1:13:48 time: 0.4815 data_time: 0.0923 memory: 6252 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0154 loss_cls: 0.1017 acc: 97.1680 loss_bbox: 0.1352 loss_mask: 0.2218 loss: 0.4904 2022/08/26 17:16:49 - mmengine - INFO - Epoch(train) [77][115/125] lr: 8.0000e-02 eta: 1:13:48 time: 0.4805 data_time: 0.0888 memory: 6649 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0157 loss_cls: 0.0904 acc: 97.1436 loss_bbox: 0.1275 loss_mask: 0.2250 loss: 0.4700 2022/08/26 17:16:51 - mmengine - INFO - Epoch(train) [77][120/125] lr: 8.0000e-02 eta: 1:13:43 time: 0.3676 data_time: 0.0956 memory: 6000 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0152 loss_cls: 0.0915 acc: 96.8262 loss_bbox: 0.1207 loss_mask: 0.2389 loss: 0.4756 2022/08/26 17:16:53 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:16:53 - mmengine - INFO - Epoch(train) [77][125/125] lr: 8.0000e-02 eta: 1:13:43 time: 0.3562 data_time: 0.0860 memory: 6492 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0133 loss_cls: 0.0966 acc: 97.0703 loss_bbox: 0.1272 loss_mask: 0.2299 loss: 0.4777 2022/08/26 17:16:56 - mmengine - INFO - Epoch(train) [78][5/125] lr: 8.0000e-02 eta: 1:13:43 time: 0.4528 data_time: 0.1774 memory: 6431 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0118 loss_cls: 0.0999 acc: 95.9229 loss_bbox: 0.1415 loss_mask: 0.2442 loss: 0.5094 2022/08/26 17:16:59 - mmengine - INFO - Epoch(train) [78][10/125] lr: 8.0000e-02 eta: 1:13:36 time: 0.5622 data_time: 0.2206 memory: 6509 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0114 loss_cls: 0.0993 acc: 96.6064 loss_bbox: 0.1467 loss_mask: 0.2398 loss: 0.5094 2022/08/26 17:17:00 - mmengine - INFO - Epoch(train) [78][15/125] lr: 8.0000e-02 eta: 1:13:36 time: 0.4644 data_time: 0.1118 memory: 6627 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0102 loss_cls: 0.0994 acc: 97.6562 loss_bbox: 0.1439 loss_mask: 0.2226 loss: 0.4857 2022/08/26 17:17:02 - mmengine - INFO - Epoch(train) [78][20/125] lr: 8.0000e-02 eta: 1:13:31 time: 0.3838 data_time: 0.0980 memory: 6153 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0091 loss_cls: 0.0924 acc: 95.9717 loss_bbox: 0.1319 loss_mask: 0.2160 loss: 0.4569 2022/08/26 17:17:05 - mmengine - INFO - Epoch(train) [78][25/125] lr: 8.0000e-02 eta: 1:13:31 time: 0.4485 data_time: 0.1288 memory: 6147 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0099 loss_cls: 0.0973 acc: 97.0703 loss_bbox: 0.1389 loss_mask: 0.2208 loss: 0.4783 2022/08/26 17:17:07 - mmengine - INFO - Epoch(train) [78][30/125] lr: 8.0000e-02 eta: 1:13:27 time: 0.4393 data_time: 0.1167 memory: 6734 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0127 loss_cls: 0.1058 acc: 97.1924 loss_bbox: 0.1521 loss_mask: 0.2457 loss: 0.5290 2022/08/26 17:17:09 - mmengine - INFO - Epoch(train) [78][35/125] lr: 8.0000e-02 eta: 1:13:27 time: 0.3766 data_time: 0.1045 memory: 6183 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0146 loss_cls: 0.1027 acc: 95.1416 loss_bbox: 0.1441 loss_mask: 0.2385 loss: 0.5119 2022/08/26 17:17:11 - mmengine - INFO - Epoch(train) [78][40/125] lr: 8.0000e-02 eta: 1:13:22 time: 0.3898 data_time: 0.0957 memory: 6311 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0159 loss_cls: 0.1013 acc: 97.1680 loss_bbox: 0.1318 loss_mask: 0.2269 loss: 0.4892 2022/08/26 17:17:13 - mmengine - INFO - Epoch(train) [78][45/125] lr: 8.0000e-02 eta: 1:13:22 time: 0.4643 data_time: 0.1661 memory: 6333 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0140 loss_cls: 0.1041 acc: 96.8262 loss_bbox: 0.1345 loss_mask: 0.2360 loss: 0.4997 2022/08/26 17:17:15 - mmengine - INFO - Epoch(train) [78][50/125] lr: 8.0000e-02 eta: 1:13:18 time: 0.4326 data_time: 0.1608 memory: 6140 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0107 loss_cls: 0.0985 acc: 96.5576 loss_bbox: 0.1307 loss_mask: 0.2331 loss: 0.4815 2022/08/26 17:17:17 - mmengine - INFO - Epoch(train) [78][55/125] lr: 8.0000e-02 eta: 1:13:18 time: 0.3914 data_time: 0.0695 memory: 6630 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0160 loss_cls: 0.0984 acc: 96.7285 loss_bbox: 0.1406 loss_mask: 0.2206 loss: 0.4836 2022/08/26 17:17:19 - mmengine - INFO - Epoch(train) [78][60/125] lr: 8.0000e-02 eta: 1:13:14 time: 0.4265 data_time: 0.0950 memory: 6029 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0186 loss_cls: 0.1040 acc: 95.3125 loss_bbox: 0.1412 loss_mask: 0.2173 loss: 0.4904 2022/08/26 17:17:21 - mmengine - INFO - Epoch(train) [78][65/125] lr: 8.0000e-02 eta: 1:13:14 time: 0.3809 data_time: 0.0918 memory: 6538 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0167 loss_cls: 0.1065 acc: 95.1416 loss_bbox: 0.1413 loss_mask: 0.2225 loss: 0.4980 2022/08/26 17:17:24 - mmengine - INFO - Epoch(train) [78][70/125] lr: 8.0000e-02 eta: 1:13:10 time: 0.4304 data_time: 0.1220 memory: 7762 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0183 loss_cls: 0.1117 acc: 96.6797 loss_bbox: 0.1570 loss_mask: 0.2214 loss: 0.5199 2022/08/26 17:17:25 - mmengine - INFO - Epoch(train) [78][75/125] lr: 8.0000e-02 eta: 1:13:10 time: 0.4202 data_time: 0.1126 memory: 6542 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0170 loss_cls: 0.1133 acc: 94.6533 loss_bbox: 0.1563 loss_mask: 0.2255 loss: 0.5254 2022/08/26 17:17:27 - mmengine - INFO - Epoch(train) [78][80/125] lr: 8.0000e-02 eta: 1:13:04 time: 0.3328 data_time: 0.0519 memory: 6692 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0173 loss_cls: 0.1138 acc: 94.2627 loss_bbox: 0.1599 loss_mask: 0.2341 loss: 0.5376 2022/08/26 17:17:29 - mmengine - INFO - Epoch(train) [78][85/125] lr: 8.0000e-02 eta: 1:13:04 time: 0.3972 data_time: 0.1163 memory: 6587 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0169 loss_cls: 0.1109 acc: 98.2666 loss_bbox: 0.1597 loss_mask: 0.2284 loss: 0.5273 2022/08/26 17:17:31 - mmengine - INFO - Epoch(train) [78][90/125] lr: 8.0000e-02 eta: 1:13:00 time: 0.4208 data_time: 0.1372 memory: 6476 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0129 loss_cls: 0.1022 acc: 96.2402 loss_bbox: 0.1503 loss_mask: 0.2266 loss: 0.5037 2022/08/26 17:17:33 - mmengine - INFO - Epoch(train) [78][95/125] lr: 8.0000e-02 eta: 1:13:00 time: 0.3523 data_time: 0.0694 memory: 6532 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0162 loss_cls: 0.1087 acc: 95.6787 loss_bbox: 0.1513 loss_mask: 0.2388 loss: 0.5266 2022/08/26 17:17:35 - mmengine - INFO - Epoch(train) [78][100/125] lr: 8.0000e-02 eta: 1:12:55 time: 0.3537 data_time: 0.0744 memory: 6406 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0217 loss_cls: 0.1091 acc: 97.0215 loss_bbox: 0.1496 loss_mask: 0.2433 loss: 0.5358 2022/08/26 17:17:37 - mmengine - INFO - Epoch(train) [78][105/125] lr: 8.0000e-02 eta: 1:12:55 time: 0.3933 data_time: 0.0937 memory: 6193 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0169 loss_cls: 0.0932 acc: 97.4365 loss_bbox: 0.1294 loss_mask: 0.2293 loss: 0.4785 2022/08/26 17:17:39 - mmengine - INFO - Epoch(train) [78][110/125] lr: 8.0000e-02 eta: 1:12:50 time: 0.3882 data_time: 0.0922 memory: 6409 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0104 loss_cls: 0.0889 acc: 96.0449 loss_bbox: 0.1240 loss_mask: 0.2188 loss: 0.4538 2022/08/26 17:17:40 - mmengine - INFO - Epoch(train) [78][115/125] lr: 8.0000e-02 eta: 1:12:50 time: 0.3484 data_time: 0.0821 memory: 6555 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0096 loss_cls: 0.0971 acc: 96.8994 loss_bbox: 0.1340 loss_mask: 0.2261 loss: 0.4791 2022/08/26 17:17:42 - mmengine - INFO - Epoch(train) [78][120/125] lr: 8.0000e-02 eta: 1:12:45 time: 0.3562 data_time: 0.0915 memory: 6137 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0123 loss_cls: 0.0964 acc: 96.0449 loss_bbox: 0.1309 loss_mask: 0.2310 loss: 0.4799 2022/08/26 17:17:44 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:17:44 - mmengine - INFO - Epoch(train) [78][125/125] lr: 8.0000e-02 eta: 1:12:45 time: 0.3591 data_time: 0.0909 memory: 6321 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0178 loss_cls: 0.0939 acc: 96.5576 loss_bbox: 0.1368 loss_mask: 0.2268 loss: 0.4873 2022/08/26 17:17:48 - mmengine - INFO - Epoch(train) [79][5/125] lr: 8.0000e-02 eta: 1:12:45 time: 0.5422 data_time: 0.2428 memory: 6643 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0185 loss_cls: 0.0971 acc: 93.8965 loss_bbox: 0.1440 loss_mask: 0.2208 loss: 0.4926 2022/08/26 17:17:50 - mmengine - INFO - Epoch(train) [79][10/125] lr: 8.0000e-02 eta: 1:12:38 time: 0.5628 data_time: 0.2642 memory: 6258 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0157 loss_cls: 0.0874 acc: 96.7041 loss_bbox: 0.1266 loss_mask: 0.2330 loss: 0.4724 2022/08/26 17:17:52 - mmengine - INFO - Epoch(train) [79][15/125] lr: 8.0000e-02 eta: 1:12:38 time: 0.3665 data_time: 0.0919 memory: 6431 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0182 loss_cls: 0.0880 acc: 96.9238 loss_bbox: 0.1315 loss_mask: 0.2398 loss: 0.4903 2022/08/26 17:17:54 - mmengine - INFO - Epoch(train) [79][20/125] lr: 8.0000e-02 eta: 1:12:34 time: 0.4225 data_time: 0.0809 memory: 6609 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0188 loss_cls: 0.1037 acc: 94.6045 loss_bbox: 0.1494 loss_mask: 0.2233 loss: 0.5117 2022/08/26 17:17:56 - mmengine - INFO - Epoch(train) [79][25/125] lr: 8.0000e-02 eta: 1:12:34 time: 0.4418 data_time: 0.0832 memory: 6141 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0125 loss_cls: 0.0979 acc: 95.3125 loss_bbox: 0.1377 loss_mask: 0.2359 loss: 0.4969 2022/08/26 17:17:58 - mmengine - INFO - Epoch(train) [79][30/125] lr: 8.0000e-02 eta: 1:12:29 time: 0.3625 data_time: 0.0693 memory: 6542 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0097 loss_cls: 0.1016 acc: 95.7275 loss_bbox: 0.1437 loss_mask: 0.2423 loss: 0.5079 2022/08/26 17:17:59 - mmengine - INFO - Epoch(train) [79][35/125] lr: 8.0000e-02 eta: 1:12:29 time: 0.3260 data_time: 0.0542 memory: 6656 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0111 loss_cls: 0.1066 acc: 97.6807 loss_bbox: 0.1439 loss_mask: 0.2308 loss: 0.5042 2022/08/26 17:18:01 - mmengine - INFO - Epoch(train) [79][40/125] lr: 8.0000e-02 eta: 1:12:24 time: 0.3459 data_time: 0.0783 memory: 6111 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0118 loss_cls: 0.0925 acc: 96.5820 loss_bbox: 0.1213 loss_mask: 0.2467 loss: 0.4859 2022/08/26 17:18:03 - mmengine - INFO - Epoch(train) [79][45/125] lr: 8.0000e-02 eta: 1:12:24 time: 0.3685 data_time: 0.1003 memory: 6042 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0146 loss_cls: 0.0928 acc: 95.3125 loss_bbox: 0.1184 loss_mask: 0.2493 loss: 0.4888 2022/08/26 17:18:05 - mmengine - INFO - Epoch(train) [79][50/125] lr: 8.0000e-02 eta: 1:12:19 time: 0.3704 data_time: 0.0951 memory: 6444 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0140 loss_cls: 0.0988 acc: 96.2891 loss_bbox: 0.1355 loss_mask: 0.2412 loss: 0.5012 2022/08/26 17:18:08 - mmengine - INFO - Epoch(train) [79][55/125] lr: 8.0000e-02 eta: 1:12:19 time: 0.4581 data_time: 0.1002 memory: 6627 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0133 loss_cls: 0.1076 acc: 95.7275 loss_bbox: 0.1586 loss_mask: 0.2415 loss: 0.5357 2022/08/26 17:18:09 - mmengine - INFO - Epoch(train) [79][60/125] lr: 8.0000e-02 eta: 1:12:15 time: 0.4376 data_time: 0.0860 memory: 6386 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0121 loss_cls: 0.0990 acc: 96.7041 loss_bbox: 0.1459 loss_mask: 0.2235 loss: 0.4946 2022/08/26 17:18:11 - mmengine - INFO - Epoch(train) [79][65/125] lr: 8.0000e-02 eta: 1:12:15 time: 0.3504 data_time: 0.0797 memory: 6333 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0108 loss_cls: 0.0880 acc: 95.7520 loss_bbox: 0.1348 loss_mask: 0.2192 loss: 0.4632 2022/08/26 17:18:13 - mmengine - INFO - Epoch(train) [79][70/125] lr: 8.0000e-02 eta: 1:12:10 time: 0.3704 data_time: 0.0996 memory: 6610 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0143 loss_cls: 0.0972 acc: 96.4844 loss_bbox: 0.1421 loss_mask: 0.2192 loss: 0.4844 2022/08/26 17:18:15 - mmengine - INFO - Epoch(train) [79][75/125] lr: 8.0000e-02 eta: 1:12:10 time: 0.3689 data_time: 0.1043 memory: 6029 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0141 loss_cls: 0.1023 acc: 96.6553 loss_bbox: 0.1318 loss_mask: 0.2185 loss: 0.4779 2022/08/26 17:18:16 - mmengine - INFO - Epoch(train) [79][80/125] lr: 8.0000e-02 eta: 1:12:05 time: 0.3559 data_time: 0.0836 memory: 6321 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0125 loss_cls: 0.1005 acc: 97.9492 loss_bbox: 0.1338 loss_mask: 0.2249 loss: 0.4829 2022/08/26 17:18:19 - mmengine - INFO - Epoch(train) [79][85/125] lr: 8.0000e-02 eta: 1:12:05 time: 0.3977 data_time: 0.1169 memory: 6624 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0128 loss_cls: 0.1067 acc: 95.5811 loss_bbox: 0.1564 loss_mask: 0.2298 loss: 0.5174 2022/08/26 17:18:20 - mmengine - INFO - Epoch(train) [79][90/125] lr: 8.0000e-02 eta: 1:12:01 time: 0.3887 data_time: 0.1146 memory: 6476 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0156 loss_cls: 0.1012 acc: 96.0205 loss_bbox: 0.1489 loss_mask: 0.2349 loss: 0.5123 2022/08/26 17:18:22 - mmengine - INFO - Epoch(train) [79][95/125] lr: 8.0000e-02 eta: 1:12:01 time: 0.3191 data_time: 0.0474 memory: 6333 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0161 loss_cls: 0.0973 acc: 98.0713 loss_bbox: 0.1283 loss_mask: 0.2233 loss: 0.4765 2022/08/26 17:18:24 - mmengine - INFO - Epoch(train) [79][100/125] lr: 8.0000e-02 eta: 1:11:56 time: 0.3510 data_time: 0.0520 memory: 7865 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0126 loss_cls: 0.1019 acc: 93.6035 loss_bbox: 0.1327 loss_mask: 0.2167 loss: 0.4733 2022/08/26 17:18:27 - mmengine - INFO - Epoch(train) [79][105/125] lr: 8.0000e-02 eta: 1:11:56 time: 0.5182 data_time: 0.0963 memory: 6535 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0118 loss_cls: 0.1072 acc: 95.9717 loss_bbox: 0.1539 loss_mask: 0.2228 loss: 0.5040 2022/08/26 17:18:29 - mmengine - INFO - Epoch(train) [79][110/125] lr: 8.0000e-02 eta: 1:11:52 time: 0.5293 data_time: 0.1314 memory: 6212 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0117 loss_cls: 0.1113 acc: 95.7031 loss_bbox: 0.1544 loss_mask: 0.2242 loss: 0.5112 2022/08/26 17:18:31 - mmengine - INFO - Epoch(train) [79][115/125] lr: 8.0000e-02 eta: 1:11:52 time: 0.3833 data_time: 0.1047 memory: 6529 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0126 loss_cls: 0.1149 acc: 93.4326 loss_bbox: 0.1530 loss_mask: 0.2292 loss: 0.5221 2022/08/26 17:18:33 - mmengine - INFO - Epoch(train) [79][120/125] lr: 8.0000e-02 eta: 1:11:47 time: 0.3428 data_time: 0.0677 memory: 6323 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0132 loss_cls: 0.1089 acc: 97.9492 loss_bbox: 0.1469 loss_mask: 0.2287 loss: 0.5113 2022/08/26 17:18:34 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:18:34 - mmengine - INFO - Epoch(train) [79][125/125] lr: 8.0000e-02 eta: 1:11:47 time: 0.3266 data_time: 0.0581 memory: 6161 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0121 loss_cls: 0.0998 acc: 96.7529 loss_bbox: 0.1352 loss_mask: 0.2188 loss: 0.4784 2022/08/26 17:18:37 - mmengine - INFO - Epoch(train) [80][5/125] lr: 8.0000e-02 eta: 1:11:47 time: 0.4657 data_time: 0.1703 memory: 6353 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0123 loss_cls: 0.0959 acc: 96.2646 loss_bbox: 0.1334 loss_mask: 0.2234 loss: 0.4780 2022/08/26 17:18:40 - mmengine - INFO - Epoch(train) [80][10/125] lr: 8.0000e-02 eta: 1:11:40 time: 0.5264 data_time: 0.2268 memory: 6228 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0158 loss_cls: 0.0927 acc: 95.6543 loss_bbox: 0.1299 loss_mask: 0.2276 loss: 0.4784 2022/08/26 17:18:41 - mmengine - INFO - Epoch(train) [80][15/125] lr: 8.0000e-02 eta: 1:11:40 time: 0.3999 data_time: 0.1235 memory: 6503 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0170 loss_cls: 0.1084 acc: 96.1670 loss_bbox: 0.1538 loss_mask: 0.2378 loss: 0.5274 2022/08/26 17:18:43 - mmengine - INFO - Epoch(train) [80][20/125] lr: 8.0000e-02 eta: 1:11:35 time: 0.3434 data_time: 0.0718 memory: 6493 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0133 loss_cls: 0.1116 acc: 96.9971 loss_bbox: 0.1526 loss_mask: 0.2463 loss: 0.5338 2022/08/26 17:18:46 - mmengine - INFO - Epoch(train) [80][25/125] lr: 8.0000e-02 eta: 1:11:35 time: 0.4174 data_time: 0.1395 memory: 6173 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0123 loss_cls: 0.1098 acc: 96.5088 loss_bbox: 0.1373 loss_mask: 0.2557 loss: 0.5281 2022/08/26 17:18:48 - mmengine - INFO - Epoch(train) [80][30/125] lr: 8.0000e-02 eta: 1:11:31 time: 0.4695 data_time: 0.1460 memory: 6374 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0121 loss_cls: 0.1111 acc: 95.8984 loss_bbox: 0.1429 loss_mask: 0.2412 loss: 0.5215 2022/08/26 17:18:51 - mmengine - INFO - Epoch(train) [80][35/125] lr: 8.0000e-02 eta: 1:11:31 time: 0.5048 data_time: 0.1000 memory: 6389 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0110 loss_cls: 0.0981 acc: 97.1924 loss_bbox: 0.1354 loss_mask: 0.2146 loss: 0.4714 2022/08/26 17:18:52 - mmengine - INFO - Epoch(train) [80][40/125] lr: 8.0000e-02 eta: 1:11:27 time: 0.4555 data_time: 0.0962 memory: 5879 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0110 loss_cls: 0.0881 acc: 96.5088 loss_bbox: 0.1189 loss_mask: 0.2296 loss: 0.4588 2022/08/26 17:18:54 - mmengine - INFO - Epoch(train) [80][45/125] lr: 8.0000e-02 eta: 1:11:27 time: 0.3539 data_time: 0.0814 memory: 6317 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0158 loss_cls: 0.1085 acc: 95.2393 loss_bbox: 0.1412 loss_mask: 0.2540 loss: 0.5325 2022/08/26 17:18:56 - mmengine - INFO - Epoch(train) [80][50/125] lr: 8.0000e-02 eta: 1:11:22 time: 0.3526 data_time: 0.0771 memory: 6613 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0165 loss_cls: 0.1146 acc: 94.6533 loss_bbox: 0.1528 loss_mask: 0.2465 loss: 0.5445 2022/08/26 17:18:58 - mmengine - INFO - Epoch(train) [80][55/125] lr: 8.0000e-02 eta: 1:11:22 time: 0.3748 data_time: 0.0777 memory: 6258 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0109 loss_cls: 0.0957 acc: 97.4854 loss_bbox: 0.1299 loss_mask: 0.2204 loss: 0.4674 2022/08/26 17:19:00 - mmengine - INFO - Epoch(train) [80][60/125] lr: 8.0000e-02 eta: 1:11:18 time: 0.4227 data_time: 0.1185 memory: 6548 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0120 loss_cls: 0.1019 acc: 95.0684 loss_bbox: 0.1454 loss_mask: 0.2169 loss: 0.4846 2022/08/26 17:19:02 - mmengine - INFO - Epoch(train) [80][65/125] lr: 8.0000e-02 eta: 1:11:18 time: 0.3870 data_time: 0.1107 memory: 6088 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0112 loss_cls: 0.0970 acc: 95.7031 loss_bbox: 0.1348 loss_mask: 0.2272 loss: 0.4782 2022/08/26 17:19:03 - mmengine - INFO - Epoch(train) [80][70/125] lr: 8.0000e-02 eta: 1:11:13 time: 0.3374 data_time: 0.0689 memory: 6318 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0112 loss_cls: 0.0938 acc: 96.5332 loss_bbox: 0.1259 loss_mask: 0.2280 loss: 0.4668 2022/08/26 17:19:05 - mmengine - INFO - Epoch(train) [80][75/125] lr: 8.0000e-02 eta: 1:11:13 time: 0.3448 data_time: 0.0725 memory: 6275 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0126 loss_cls: 0.0997 acc: 96.7041 loss_bbox: 0.1407 loss_mask: 0.2255 loss: 0.4860 2022/08/26 17:19:07 - mmengine - INFO - Epoch(train) [80][80/125] lr: 8.0000e-02 eta: 1:11:08 time: 0.3680 data_time: 0.0816 memory: 6764 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0122 loss_cls: 0.0982 acc: 96.7773 loss_bbox: 0.1392 loss_mask: 0.2333 loss: 0.4915 2022/08/26 17:19:09 - mmengine - INFO - Epoch(train) [80][85/125] lr: 8.0000e-02 eta: 1:11:08 time: 0.4051 data_time: 0.0925 memory: 7674 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0158 loss_cls: 0.1119 acc: 97.4854 loss_bbox: 0.1568 loss_mask: 0.2356 loss: 0.5314 2022/08/26 17:19:12 - mmengine - INFO - Epoch(train) [80][90/125] lr: 8.0000e-02 eta: 1:11:04 time: 0.4953 data_time: 0.1750 memory: 6275 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0164 loss_cls: 0.1136 acc: 96.9727 loss_bbox: 0.1506 loss_mask: 0.2346 loss: 0.5269 2022/08/26 17:19:13 - mmengine - INFO - Epoch(train) [80][95/125] lr: 8.0000e-02 eta: 1:11:04 time: 0.4303 data_time: 0.1374 memory: 6787 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0147 loss_cls: 0.1015 acc: 94.6533 loss_bbox: 0.1326 loss_mask: 0.2264 loss: 0.4852 2022/08/26 17:19:15 - mmengine - INFO - Epoch(train) [80][100/125] lr: 8.0000e-02 eta: 1:10:59 time: 0.3315 data_time: 0.0593 memory: 6150 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0150 loss_cls: 0.1002 acc: 96.2158 loss_bbox: 0.1417 loss_mask: 0.2336 loss: 0.4999 2022/08/26 17:19:17 - mmengine - INFO - Epoch(train) [80][105/125] lr: 8.0000e-02 eta: 1:10:59 time: 0.3560 data_time: 0.0804 memory: 6271 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0153 loss_cls: 0.0952 acc: 97.5342 loss_bbox: 0.1384 loss_mask: 0.2271 loss: 0.4854 2022/08/26 17:19:19 - mmengine - INFO - Epoch(train) [80][110/125] lr: 8.0000e-02 eta: 1:10:54 time: 0.3524 data_time: 0.0692 memory: 5979 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0121 loss_cls: 0.0831 acc: 98.2666 loss_bbox: 0.1128 loss_mask: 0.2129 loss: 0.4293 2022/08/26 17:19:21 - mmengine - INFO - Epoch(train) [80][115/125] lr: 8.0000e-02 eta: 1:10:54 time: 0.4329 data_time: 0.1529 memory: 6562 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0087 loss_cls: 0.0848 acc: 96.6309 loss_bbox: 0.1133 loss_mask: 0.2211 loss: 0.4357 2022/08/26 17:19:23 - mmengine - INFO - Epoch(train) [80][120/125] lr: 8.0000e-02 eta: 1:10:50 time: 0.4516 data_time: 0.1744 memory: 6490 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0124 loss_cls: 0.1022 acc: 94.2139 loss_bbox: 0.1425 loss_mask: 0.2316 loss: 0.4971 2022/08/26 17:19:25 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:19:26 - mmengine - INFO - Epoch(train) [80][125/125] lr: 8.0000e-02 eta: 1:10:50 time: 0.4061 data_time: 0.1261 memory: 6434 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0148 loss_cls: 0.1116 acc: 97.5830 loss_bbox: 0.1511 loss_mask: 0.2440 loss: 0.5355 2022/08/26 17:19:26 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/26 17:19:34 - mmengine - INFO - Epoch(val) [80][5/500] eta: 1:10:50 time: 0.1658 data_time: 0.0095 memory: 1506 2022/08/26 17:19:34 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:01:31 time: 0.1858 data_time: 0.0099 memory: 1522 2022/08/26 17:19:35 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:01:31 time: 0.0953 data_time: 0.0025 memory: 1472 2022/08/26 17:19:35 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:41 time: 0.0861 data_time: 0.0021 memory: 1320 2022/08/26 17:19:36 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:41 time: 0.0774 data_time: 0.0020 memory: 1320 2022/08/26 17:19:36 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:33 time: 0.0716 data_time: 0.0027 memory: 1320 2022/08/26 17:19:36 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:33 time: 0.0838 data_time: 0.0028 memory: 1320 2022/08/26 17:19:37 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:40 time: 0.0873 data_time: 0.0022 memory: 1337 2022/08/26 17:19:37 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:40 time: 0.0741 data_time: 0.0021 memory: 1522 2022/08/26 17:19:38 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:35 time: 0.0783 data_time: 0.0021 memory: 1370 2022/08/26 17:19:38 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:35 time: 0.0799 data_time: 0.0023 memory: 1354 2022/08/26 17:19:38 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:37 time: 0.0853 data_time: 0.0023 memory: 1320 2022/08/26 17:19:39 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:37 time: 0.0878 data_time: 0.0022 memory: 1370 2022/08/26 17:19:39 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:33 time: 0.0769 data_time: 0.0023 memory: 1522 2022/08/26 17:19:40 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:33 time: 0.0905 data_time: 0.0047 memory: 1387 2022/08/26 17:19:40 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:37 time: 0.0895 data_time: 0.0049 memory: 1320 2022/08/26 17:19:40 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:37 time: 0.0765 data_time: 0.0066 memory: 1320 2022/08/26 17:19:41 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:32 time: 0.0802 data_time: 0.0064 memory: 1522 2022/08/26 17:19:41 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:32 time: 0.0756 data_time: 0.0022 memory: 1337 2022/08/26 17:19:42 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:27 time: 0.0692 data_time: 0.0020 memory: 1506 2022/08/26 17:19:42 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:27 time: 0.0744 data_time: 0.0021 memory: 1320 2022/08/26 17:19:42 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:29 time: 0.0768 data_time: 0.0021 memory: 1522 2022/08/26 17:19:43 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:29 time: 0.0821 data_time: 0.0023 memory: 1320 2022/08/26 17:19:43 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:38 time: 0.1025 data_time: 0.0023 memory: 1320 2022/08/26 17:19:44 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:38 time: 0.1164 data_time: 0.0024 memory: 1522 2022/08/26 17:19:44 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:35 time: 0.0971 data_time: 0.0023 memory: 1320 2022/08/26 17:19:45 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:35 time: 0.0771 data_time: 0.0022 memory: 1387 2022/08/26 17:19:45 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:30 time: 0.0848 data_time: 0.0020 memory: 1320 2022/08/26 17:19:46 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:30 time: 0.1067 data_time: 0.0019 memory: 1506 2022/08/26 17:19:47 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:50 time: 0.1456 data_time: 0.0099 memory: 1320 2022/08/26 17:19:47 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:50 time: 0.1303 data_time: 0.0103 memory: 1454 2022/08/26 17:19:47 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:28 time: 0.0834 data_time: 0.0024 memory: 1522 2022/08/26 17:19:48 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:28 time: 0.0771 data_time: 0.0023 memory: 1354 2022/08/26 17:19:48 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:25 time: 0.0781 data_time: 0.0024 memory: 1472 2022/08/26 17:19:49 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:25 time: 0.0724 data_time: 0.0023 memory: 1522 2022/08/26 17:19:49 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:24 time: 0.0762 data_time: 0.0021 memory: 1522 2022/08/26 17:19:49 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:24 time: 0.0804 data_time: 0.0019 memory: 1320 2022/08/26 17:19:50 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:23 time: 0.0743 data_time: 0.0020 memory: 1370 2022/08/26 17:19:50 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:23 time: 0.0703 data_time: 0.0024 memory: 1354 2022/08/26 17:19:50 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:21 time: 0.0704 data_time: 0.0025 memory: 1354 2022/08/26 17:19:51 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:21 time: 0.0750 data_time: 0.0022 memory: 1320 2022/08/26 17:19:51 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:23 time: 0.0795 data_time: 0.0023 memory: 1522 2022/08/26 17:19:52 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:23 time: 0.0781 data_time: 0.0023 memory: 1320 2022/08/26 17:19:52 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:20 time: 0.0738 data_time: 0.0020 memory: 1387 2022/08/26 17:19:52 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:20 time: 0.0720 data_time: 0.0019 memory: 1522 2022/08/26 17:19:53 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:22 time: 0.0845 data_time: 0.0019 memory: 1320 2022/08/26 17:19:53 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:22 time: 0.0935 data_time: 0.0020 memory: 1522 2022/08/26 17:19:54 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:21 time: 0.0826 data_time: 0.0022 memory: 1522 2022/08/26 17:19:54 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:21 time: 0.0747 data_time: 0.0024 memory: 1522 2022/08/26 17:19:54 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:18 time: 0.0733 data_time: 0.0023 memory: 1320 2022/08/26 17:19:55 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:18 time: 0.1289 data_time: 0.0022 memory: 1337 2022/08/26 17:19:56 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:32 time: 0.1374 data_time: 0.0094 memory: 1320 2022/08/26 17:19:56 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:32 time: 0.0851 data_time: 0.0093 memory: 1472 2022/08/26 17:19:57 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:17 time: 0.0743 data_time: 0.0019 memory: 1438 2022/08/26 17:19:57 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:17 time: 0.0914 data_time: 0.0034 memory: 1506 2022/08/26 17:19:57 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:20 time: 0.0923 data_time: 0.0035 memory: 1489 2022/08/26 17:19:58 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:20 time: 0.0742 data_time: 0.0022 memory: 1320 2022/08/26 17:19:58 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:16 time: 0.0789 data_time: 0.0023 memory: 1522 2022/08/26 17:19:59 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:16 time: 0.0776 data_time: 0.0023 memory: 1370 2022/08/26 17:19:59 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:15 time: 0.0798 data_time: 0.0023 memory: 1320 2022/08/26 17:19:59 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:15 time: 0.0736 data_time: 0.0022 memory: 1303 2022/08/26 17:20:00 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:12 time: 0.0651 data_time: 0.0021 memory: 1354 2022/08/26 17:20:00 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:12 time: 0.0715 data_time: 0.0019 memory: 1472 2022/08/26 17:20:01 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:16 time: 0.0901 data_time: 0.0030 memory: 1472 2022/08/26 17:20:01 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:16 time: 0.0886 data_time: 0.0034 memory: 1522 2022/08/26 17:20:01 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:13 time: 0.0789 data_time: 0.0025 memory: 1320 2022/08/26 17:20:02 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:13 time: 0.0822 data_time: 0.0025 memory: 1438 2022/08/26 17:20:02 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:13 time: 0.0828 data_time: 0.0025 memory: 1506 2022/08/26 17:20:03 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:13 time: 0.0759 data_time: 0.0023 memory: 1438 2022/08/26 17:20:03 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:12 time: 0.0828 data_time: 0.0021 memory: 1320 2022/08/26 17:20:03 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:12 time: 0.0980 data_time: 0.0021 memory: 1506 2022/08/26 17:20:04 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:11 time: 0.0822 data_time: 0.0019 memory: 1337 2022/08/26 17:20:04 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:11 time: 0.0712 data_time: 0.0020 memory: 1252 2022/08/26 17:20:05 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:09 time: 0.0712 data_time: 0.0021 memory: 1387 2022/08/26 17:20:05 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:09 time: 0.0658 data_time: 0.0022 memory: 1320 2022/08/26 17:20:05 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:09 time: 0.0756 data_time: 0.0022 memory: 1506 2022/08/26 17:20:06 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:09 time: 0.1148 data_time: 0.0043 memory: 1489 2022/08/26 17:20:07 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:13 time: 0.1225 data_time: 0.0051 memory: 1522 2022/08/26 17:20:07 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:13 time: 0.1187 data_time: 0.0030 memory: 1320 2022/08/26 17:20:08 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:11 time: 0.1167 data_time: 0.0023 memory: 1506 2022/08/26 17:20:08 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:11 time: 0.0843 data_time: 0.0024 memory: 1489 2022/08/26 17:20:08 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:06 time: 0.0743 data_time: 0.0023 memory: 1387 2022/08/26 17:20:09 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:06 time: 0.0856 data_time: 0.0022 memory: 1320 2022/08/26 17:20:09 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:07 time: 0.0955 data_time: 0.0023 memory: 1489 2022/08/26 17:20:10 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:07 time: 0.0960 data_time: 0.0046 memory: 1320 2022/08/26 17:20:10 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:05 time: 0.0817 data_time: 0.0046 memory: 1522 2022/08/26 17:20:11 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:05 time: 0.0774 data_time: 0.0021 memory: 1320 2022/08/26 17:20:11 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:04 time: 0.0798 data_time: 0.0021 memory: 1404 2022/08/26 17:20:11 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:04 time: 0.0757 data_time: 0.0021 memory: 1472 2022/08/26 17:20:12 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:03 time: 0.0750 data_time: 0.0022 memory: 1320 2022/08/26 17:20:12 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:03 time: 0.0754 data_time: 0.0022 memory: 1522 2022/08/26 17:20:13 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:03 time: 0.0762 data_time: 0.0022 memory: 1354 2022/08/26 17:20:13 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:03 time: 0.0742 data_time: 0.0022 memory: 1454 2022/08/26 17:20:13 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:02 time: 0.0714 data_time: 0.0022 memory: 1354 2022/08/26 17:20:14 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:02 time: 0.0752 data_time: 0.0022 memory: 1522 2022/08/26 17:20:14 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:01 time: 0.0755 data_time: 0.0022 memory: 1489 2022/08/26 17:20:14 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:01 time: 0.0689 data_time: 0.0022 memory: 1320 2022/08/26 17:20:15 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0688 data_time: 0.0022 memory: 1454 2022/08/26 17:20:15 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0739 data_time: 0.0023 memory: 1522 2022/08/26 17:20:15 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0731 data_time: 0.0023 memory: 1320 2022/08/26 17:20:15 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:20:15 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8647, precision: 0.2885, hmean: 0.4326 2022/08/26 17:20:15 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8475, precision: 0.3601, hmean: 0.5055 2022/08/26 17:20:15 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8293, precision: 0.4296, hmean: 0.5660 2022/08/26 17:20:15 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8137, precision: 0.4955, hmean: 0.6160 2022/08/26 17:20:15 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7880, precision: 0.5607, hmean: 0.6552 2022/08/26 17:20:15 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7463, precision: 0.6345, hmean: 0.6859 2022/08/26 17:20:15 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6465, precision: 0.7232, hmean: 0.6827 2022/08/26 17:20:15 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.6345 icdar/recall: 0.7463 icdar/hmean: 0.6859 2022/08/26 17:20:20 - mmengine - INFO - Epoch(train) [81][5/125] lr: 8.0000e-03 eta: 0:00:00 time: 0.6859 data_time: 0.2683 memory: 6313 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0125 loss_cls: 0.1082 acc: 96.0205 loss_bbox: 0.1353 loss_mask: 0.2523 loss: 0.5242 2022/08/26 17:20:22 - mmengine - INFO - Epoch(train) [81][10/125] lr: 8.0000e-03 eta: 1:10:44 time: 0.6745 data_time: 0.2573 memory: 6405 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0156 loss_cls: 0.1002 acc: 96.9482 loss_bbox: 0.1339 loss_mask: 0.2434 loss: 0.5045 2022/08/26 17:20:24 - mmengine - INFO - Epoch(train) [81][15/125] lr: 8.0000e-03 eta: 1:10:44 time: 0.4034 data_time: 0.1213 memory: 6777 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0164 loss_cls: 0.1031 acc: 94.1650 loss_bbox: 0.1465 loss_mask: 0.2323 loss: 0.5074 2022/08/26 17:20:26 - mmengine - INFO - Epoch(train) [81][20/125] lr: 8.0000e-03 eta: 1:10:39 time: 0.3892 data_time: 0.1068 memory: 6209 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0129 loss_cls: 0.1110 acc: 96.8506 loss_bbox: 0.1459 loss_mask: 0.2396 loss: 0.5206 2022/08/26 17:20:28 - mmengine - INFO - Epoch(train) [81][25/125] lr: 8.0000e-03 eta: 1:10:39 time: 0.4092 data_time: 0.1368 memory: 6252 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0108 loss_cls: 0.1013 acc: 97.9004 loss_bbox: 0.1359 loss_mask: 0.2353 loss: 0.4932 2022/08/26 17:20:31 - mmengine - INFO - Epoch(train) [81][30/125] lr: 8.0000e-03 eta: 1:10:36 time: 0.4771 data_time: 0.2053 memory: 6313 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0106 loss_cls: 0.0911 acc: 95.3857 loss_bbox: 0.1338 loss_mask: 0.2214 loss: 0.4646 2022/08/26 17:20:33 - mmengine - INFO - Epoch(train) [81][35/125] lr: 8.0000e-03 eta: 1:10:36 time: 0.4230 data_time: 0.1472 memory: 6294 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0122 loss_cls: 0.0899 acc: 96.7529 loss_bbox: 0.1330 loss_mask: 0.2119 loss: 0.4554 2022/08/26 17:20:35 - mmengine - INFO - Epoch(train) [81][40/125] lr: 8.0000e-03 eta: 1:10:31 time: 0.3481 data_time: 0.0708 memory: 6712 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0154 loss_cls: 0.1013 acc: 96.2891 loss_bbox: 0.1431 loss_mask: 0.2043 loss: 0.4729 2022/08/26 17:20:37 - mmengine - INFO - Epoch(train) [81][45/125] lr: 8.0000e-03 eta: 1:10:31 time: 0.4452 data_time: 0.0880 memory: 6225 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0139 loss_cls: 0.0992 acc: 95.8740 loss_bbox: 0.1382 loss_mask: 0.1995 loss: 0.4602 2022/08/26 17:20:39 - mmengine - INFO - Epoch(train) [81][50/125] lr: 8.0000e-03 eta: 1:10:27 time: 0.4526 data_time: 0.1031 memory: 6177 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0082 loss_cls: 0.0811 acc: 97.1436 loss_bbox: 0.1144 loss_mask: 0.2126 loss: 0.4243 2022/08/26 17:20:41 - mmengine - INFO - Epoch(train) [81][55/125] lr: 8.0000e-03 eta: 1:10:27 time: 0.3681 data_time: 0.0976 memory: 6120 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0090 loss_cls: 0.0878 acc: 97.3877 loss_bbox: 0.1198 loss_mask: 0.2233 loss: 0.4489 2022/08/26 17:20:42 - mmengine - INFO - Epoch(train) [81][60/125] lr: 8.0000e-03 eta: 1:10:22 time: 0.3440 data_time: 0.0678 memory: 6741 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0124 loss_cls: 0.1069 acc: 97.1924 loss_bbox: 0.1395 loss_mask: 0.2134 loss: 0.4838 2022/08/26 17:20:45 - mmengine - INFO - Epoch(train) [81][65/125] lr: 8.0000e-03 eta: 1:10:22 time: 0.3675 data_time: 0.0881 memory: 6718 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0148 loss_cls: 0.1059 acc: 94.3604 loss_bbox: 0.1411 loss_mask: 0.2013 loss: 0.4727 2022/08/26 17:20:46 - mmengine - INFO - Epoch(train) [81][70/125] lr: 8.0000e-03 eta: 1:10:17 time: 0.3788 data_time: 0.1004 memory: 6074 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0134 loss_cls: 0.0872 acc: 98.2422 loss_bbox: 0.1243 loss_mask: 0.2045 loss: 0.4380 2022/08/26 17:20:48 - mmengine - INFO - Epoch(train) [81][75/125] lr: 8.0000e-03 eta: 1:10:17 time: 0.3632 data_time: 0.0923 memory: 6102 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0123 loss_cls: 0.0796 acc: 97.4609 loss_bbox: 0.1132 loss_mask: 0.2134 loss: 0.4290 2022/08/26 17:20:51 - mmengine - INFO - Epoch(train) [81][80/125] lr: 8.0000e-03 eta: 1:10:13 time: 0.4237 data_time: 0.1510 memory: 6226 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0137 loss_cls: 0.0814 acc: 97.2656 loss_bbox: 0.1099 loss_mask: 0.2066 loss: 0.4234 2022/08/26 17:20:52 - mmengine - INFO - Epoch(train) [81][85/125] lr: 8.0000e-03 eta: 1:10:13 time: 0.3833 data_time: 0.1105 memory: 6809 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0144 loss_cls: 0.0840 acc: 97.0459 loss_bbox: 0.1205 loss_mask: 0.2072 loss: 0.4381 2022/08/26 17:20:54 - mmengine - INFO - Epoch(train) [81][90/125] lr: 8.0000e-03 eta: 1:10:07 time: 0.3117 data_time: 0.0411 memory: 6591 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0133 loss_cls: 0.0923 acc: 94.8730 loss_bbox: 0.1387 loss_mask: 0.2178 loss: 0.4717 2022/08/26 17:20:55 - mmengine - INFO - Epoch(train) [81][95/125] lr: 8.0000e-03 eta: 1:10:07 time: 0.3315 data_time: 0.0612 memory: 6003 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0108 loss_cls: 0.0922 acc: 95.8984 loss_bbox: 0.1313 loss_mask: 0.2149 loss: 0.4586 2022/08/26 17:20:58 - mmengine - INFO - Epoch(train) [81][100/125] lr: 8.0000e-03 eta: 1:10:03 time: 0.4631 data_time: 0.0722 memory: 7489 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0134 loss_cls: 0.0938 acc: 97.8760 loss_bbox: 0.1339 loss_mask: 0.2071 loss: 0.4601 2022/08/26 17:21:00 - mmengine - INFO - Epoch(train) [81][105/125] lr: 8.0000e-03 eta: 1:10:03 time: 0.4661 data_time: 0.0738 memory: 6519 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0133 loss_cls: 0.0954 acc: 98.4863 loss_bbox: 0.1350 loss_mask: 0.2191 loss: 0.4725 2022/08/26 17:21:02 - mmengine - INFO - Epoch(train) [81][110/125] lr: 8.0000e-03 eta: 1:09:58 time: 0.3468 data_time: 0.0728 memory: 6489 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0105 loss_cls: 0.0891 acc: 95.4102 loss_bbox: 0.1227 loss_mask: 0.2172 loss: 0.4466 2022/08/26 17:21:03 - mmengine - INFO - Epoch(train) [81][115/125] lr: 8.0000e-03 eta: 1:09:58 time: 0.3441 data_time: 0.0738 memory: 6124 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0117 loss_cls: 0.0763 acc: 98.1201 loss_bbox: 0.1122 loss_mask: 0.2055 loss: 0.4123 2022/08/26 17:21:06 - mmengine - INFO - Epoch(train) [81][120/125] lr: 8.0000e-03 eta: 1:09:55 time: 0.4660 data_time: 0.1971 memory: 6729 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0131 loss_cls: 0.0846 acc: 96.8750 loss_bbox: 0.1200 loss_mask: 0.2090 loss: 0.4350 2022/08/26 17:21:08 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:21:08 - mmengine - INFO - Epoch(train) [81][125/125] lr: 8.0000e-03 eta: 1:09:55 time: 0.4482 data_time: 0.1757 memory: 6415 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0118 loss_cls: 0.1041 acc: 94.1162 loss_bbox: 0.1366 loss_mask: 0.2112 loss: 0.4730 2022/08/26 17:21:11 - mmengine - INFO - Epoch(train) [82][5/125] lr: 8.0000e-03 eta: 1:09:55 time: 0.4892 data_time: 0.2192 memory: 6829 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0100 loss_cls: 0.0979 acc: 94.7021 loss_bbox: 0.1342 loss_mask: 0.2217 loss: 0.4735 2022/08/26 17:21:14 - mmengine - INFO - Epoch(train) [82][10/125] lr: 8.0000e-03 eta: 1:09:48 time: 0.6009 data_time: 0.3287 memory: 6333 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0101 loss_cls: 0.0866 acc: 96.4844 loss_bbox: 0.1285 loss_mask: 0.2091 loss: 0.4443 2022/08/26 17:21:17 - mmengine - INFO - Epoch(train) [82][15/125] lr: 8.0000e-03 eta: 1:09:48 time: 0.5261 data_time: 0.2121 memory: 6084 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0112 loss_cls: 0.0794 acc: 96.6309 loss_bbox: 0.1148 loss_mask: 0.1966 loss: 0.4123 2022/08/26 17:21:18 - mmengine - INFO - Epoch(train) [82][20/125] lr: 8.0000e-03 eta: 1:09:44 time: 0.4384 data_time: 0.1240 memory: 6996 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0134 loss_cls: 0.0918 acc: 96.4600 loss_bbox: 0.1279 loss_mask: 0.2160 loss: 0.4600 2022/08/26 17:21:20 - mmengine - INFO - Epoch(train) [82][25/125] lr: 8.0000e-03 eta: 1:09:44 time: 0.3840 data_time: 0.0890 memory: 7508 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0126 loss_cls: 0.1009 acc: 96.3135 loss_bbox: 0.1458 loss_mask: 0.2096 loss: 0.4781 2022/08/26 17:21:22 - mmengine - INFO - Epoch(train) [82][30/125] lr: 8.0000e-03 eta: 1:09:39 time: 0.3748 data_time: 0.0787 memory: 6529 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0135 loss_cls: 0.0943 acc: 96.5332 loss_bbox: 0.1391 loss_mask: 0.1965 loss: 0.4531 2022/08/26 17:21:24 - mmengine - INFO - Epoch(train) [82][35/125] lr: 8.0000e-03 eta: 1:09:39 time: 0.3877 data_time: 0.0886 memory: 6401 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0136 loss_cls: 0.0969 acc: 94.9463 loss_bbox: 0.1387 loss_mask: 0.2136 loss: 0.4722 2022/08/26 17:21:26 - mmengine - INFO - Epoch(train) [82][40/125] lr: 8.0000e-03 eta: 1:09:35 time: 0.3937 data_time: 0.0978 memory: 6698 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0115 loss_cls: 0.0999 acc: 96.2158 loss_bbox: 0.1404 loss_mask: 0.2250 loss: 0.4886 2022/08/26 17:21:28 - mmengine - INFO - Epoch(train) [82][45/125] lr: 8.0000e-03 eta: 1:09:35 time: 0.4133 data_time: 0.1454 memory: 6104 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0126 loss_cls: 0.0918 acc: 96.1670 loss_bbox: 0.1241 loss_mask: 0.2218 loss: 0.4634 2022/08/26 17:21:30 - mmengine - INFO - Epoch(train) [82][50/125] lr: 8.0000e-03 eta: 1:09:30 time: 0.4076 data_time: 0.1386 memory: 6320 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0143 loss_cls: 0.0924 acc: 95.3369 loss_bbox: 0.1287 loss_mask: 0.2300 loss: 0.4760 2022/08/26 17:21:32 - mmengine - INFO - Epoch(train) [82][55/125] lr: 8.0000e-03 eta: 1:09:30 time: 0.3312 data_time: 0.0539 memory: 6470 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0150 loss_cls: 0.0926 acc: 96.8262 loss_bbox: 0.1404 loss_mask: 0.2248 loss: 0.4825 2022/08/26 17:21:34 - mmengine - INFO - Epoch(train) [82][60/125] lr: 8.0000e-03 eta: 1:09:25 time: 0.3390 data_time: 0.0646 memory: 6235 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0120 loss_cls: 0.0872 acc: 97.7539 loss_bbox: 0.1339 loss_mask: 0.2129 loss: 0.4545 2022/08/26 17:21:38 - mmengine - INFO - Epoch(train) [82][65/125] lr: 8.0000e-03 eta: 1:09:25 time: 0.5760 data_time: 0.1985 memory: 6604 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0111 loss_cls: 0.0960 acc: 93.8232 loss_bbox: 0.1471 loss_mask: 0.2151 loss: 0.4773 2022/08/26 17:21:39 - mmengine - INFO - Epoch(train) [82][70/125] lr: 8.0000e-03 eta: 1:09:22 time: 0.5748 data_time: 0.1921 memory: 6314 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0107 loss_cls: 0.0897 acc: 97.1924 loss_bbox: 0.1427 loss_mask: 0.2117 loss: 0.4622 2022/08/26 17:21:41 - mmengine - INFO - Epoch(train) [82][75/125] lr: 8.0000e-03 eta: 1:09:22 time: 0.3307 data_time: 0.0563 memory: 6280 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0093 loss_cls: 0.0760 acc: 97.8027 loss_bbox: 0.1140 loss_mask: 0.1995 loss: 0.4058 2022/08/26 17:21:43 - mmengine - INFO - Epoch(train) [82][80/125] lr: 8.0000e-03 eta: 1:09:18 time: 0.3757 data_time: 0.1049 memory: 6393 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0103 loss_cls: 0.0835 acc: 97.9736 loss_bbox: 0.1184 loss_mask: 0.2040 loss: 0.4238 2022/08/26 17:21:45 - mmengine - INFO - Epoch(train) [82][85/125] lr: 8.0000e-03 eta: 1:09:18 time: 0.4364 data_time: 0.1670 memory: 6203 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0116 loss_cls: 0.0802 acc: 96.7529 loss_bbox: 0.1118 loss_mask: 0.2118 loss: 0.4241 2022/08/26 17:21:47 - mmengine - INFO - Epoch(train) [82][90/125] lr: 8.0000e-03 eta: 1:09:13 time: 0.4278 data_time: 0.1469 memory: 6281 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0111 loss_cls: 0.0789 acc: 97.1436 loss_bbox: 0.1051 loss_mask: 0.2202 loss: 0.4264 2022/08/26 17:21:49 - mmengine - INFO - Epoch(train) [82][95/125] lr: 8.0000e-03 eta: 1:09:13 time: 0.3827 data_time: 0.0836 memory: 6662 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0112 loss_cls: 0.0947 acc: 95.1172 loss_bbox: 0.1304 loss_mask: 0.2216 loss: 0.4688 2022/08/26 17:21:51 - mmengine - INFO - Epoch(train) [82][100/125] lr: 8.0000e-03 eta: 1:09:08 time: 0.3472 data_time: 0.0548 memory: 6088 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0106 loss_cls: 0.0920 acc: 97.3877 loss_bbox: 0.1249 loss_mask: 0.2189 loss: 0.4534 2022/08/26 17:21:53 - mmengine - INFO - Epoch(train) [82][105/125] lr: 8.0000e-03 eta: 1:09:08 time: 0.3613 data_time: 0.0834 memory: 6477 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0123 loss_cls: 0.0895 acc: 95.4834 loss_bbox: 0.1279 loss_mask: 0.2309 loss: 0.4687 2022/08/26 17:21:54 - mmengine - INFO - Epoch(train) [82][110/125] lr: 8.0000e-03 eta: 1:09:04 time: 0.3644 data_time: 0.0928 memory: 6331 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0120 loss_cls: 0.0892 acc: 98.1445 loss_bbox: 0.1316 loss_mask: 0.2106 loss: 0.4523 2022/08/26 17:21:57 - mmengine - INFO - Epoch(train) [82][115/125] lr: 8.0000e-03 eta: 1:09:04 time: 0.3931 data_time: 0.1227 memory: 6252 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0090 loss_cls: 0.0846 acc: 95.7520 loss_bbox: 0.1170 loss_mask: 0.1969 loss: 0.4160 2022/08/26 17:21:58 - mmengine - INFO - Epoch(train) [82][120/125] lr: 8.0000e-03 eta: 1:08:59 time: 0.3963 data_time: 0.1247 memory: 6327 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0103 loss_cls: 0.0794 acc: 97.0459 loss_bbox: 0.1136 loss_mask: 0.1918 loss: 0.4032 2022/08/26 17:22:01 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:22:01 - mmengine - INFO - Epoch(train) [82][125/125] lr: 8.0000e-03 eta: 1:08:59 time: 0.3939 data_time: 0.1217 memory: 6617 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0124 loss_cls: 0.0828 acc: 95.4102 loss_bbox: 0.1143 loss_mask: 0.2013 loss: 0.4212 2022/08/26 17:22:04 - mmengine - INFO - Epoch(train) [83][5/125] lr: 8.0000e-03 eta: 1:08:59 time: 0.5202 data_time: 0.2485 memory: 6390 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0136 loss_cls: 0.0931 acc: 97.9492 loss_bbox: 0.1260 loss_mask: 0.2104 loss: 0.4542 2022/08/26 17:22:05 - mmengine - INFO - Epoch(train) [83][10/125] lr: 8.0000e-03 eta: 1:08:51 time: 0.4755 data_time: 0.2069 memory: 6418 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0115 loss_cls: 0.0943 acc: 96.9971 loss_bbox: 0.1345 loss_mask: 0.2169 loss: 0.4665 2022/08/26 17:22:07 - mmengine - INFO - Epoch(train) [83][15/125] lr: 8.0000e-03 eta: 1:08:51 time: 0.3703 data_time: 0.0696 memory: 6291 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0093 loss_cls: 0.0893 acc: 97.4365 loss_bbox: 0.1264 loss_mask: 0.2230 loss: 0.4571 2022/08/26 17:22:10 - mmengine - INFO - Epoch(train) [83][20/125] lr: 8.0000e-03 eta: 1:08:47 time: 0.4067 data_time: 0.1048 memory: 6558 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0112 loss_cls: 0.0857 acc: 97.6318 loss_bbox: 0.1212 loss_mask: 0.2109 loss: 0.4371 2022/08/26 17:22:11 - mmengine - INFO - Epoch(train) [83][25/125] lr: 8.0000e-03 eta: 1:08:47 time: 0.3839 data_time: 0.1098 memory: 6721 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0121 loss_cls: 0.0939 acc: 97.5342 loss_bbox: 0.1369 loss_mask: 0.2022 loss: 0.4543 2022/08/26 17:22:14 - mmengine - INFO - Epoch(train) [83][30/125] lr: 8.0000e-03 eta: 1:08:43 time: 0.4549 data_time: 0.1769 memory: 6574 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0127 loss_cls: 0.1005 acc: 95.3125 loss_bbox: 0.1482 loss_mask: 0.2099 loss: 0.4807 2022/08/26 17:22:16 - mmengine - INFO - Epoch(train) [83][35/125] lr: 8.0000e-03 eta: 1:08:43 time: 0.4882 data_time: 0.1920 memory: 6512 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0129 loss_cls: 0.0915 acc: 97.8271 loss_bbox: 0.1333 loss_mask: 0.2157 loss: 0.4626 2022/08/26 17:22:18 - mmengine - INFO - Epoch(train) [83][40/125] lr: 8.0000e-03 eta: 1:08:38 time: 0.3842 data_time: 0.0903 memory: 6521 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0110 loss_cls: 0.0833 acc: 95.3369 loss_bbox: 0.1257 loss_mask: 0.2126 loss: 0.4418 2022/08/26 17:22:20 - mmengine - INFO - Epoch(train) [83][45/125] lr: 8.0000e-03 eta: 1:08:38 time: 0.3910 data_time: 0.1193 memory: 6392 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0124 loss_cls: 0.0903 acc: 96.5576 loss_bbox: 0.1350 loss_mask: 0.2163 loss: 0.4627 2022/08/26 17:22:22 - mmengine - INFO - Epoch(train) [83][50/125] lr: 8.0000e-03 eta: 1:08:34 time: 0.4065 data_time: 0.1122 memory: 6618 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0145 loss_cls: 0.0937 acc: 96.5332 loss_bbox: 0.1381 loss_mask: 0.2137 loss: 0.4699 2022/08/26 17:22:24 - mmengine - INFO - Epoch(train) [83][55/125] lr: 8.0000e-03 eta: 1:08:34 time: 0.4152 data_time: 0.1179 memory: 6692 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0157 loss_cls: 0.0971 acc: 96.4844 loss_bbox: 0.1502 loss_mask: 0.2032 loss: 0.4764 2022/08/26 17:22:26 - mmengine - INFO - Epoch(train) [83][60/125] lr: 8.0000e-03 eta: 1:08:29 time: 0.3863 data_time: 0.1162 memory: 6470 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0128 loss_cls: 0.0928 acc: 97.0459 loss_bbox: 0.1339 loss_mask: 0.1955 loss: 0.4429 2022/08/26 17:22:28 - mmengine - INFO - Epoch(train) [83][65/125] lr: 8.0000e-03 eta: 1:08:29 time: 0.3365 data_time: 0.0710 memory: 6235 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0092 loss_cls: 0.0808 acc: 96.4600 loss_bbox: 0.1067 loss_mask: 0.1918 loss: 0.3956 2022/08/26 17:22:29 - mmengine - INFO - Epoch(train) [83][70/125] lr: 8.0000e-03 eta: 1:08:24 time: 0.3356 data_time: 0.0661 memory: 6545 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0077 loss_cls: 0.0817 acc: 94.1895 loss_bbox: 0.1179 loss_mask: 0.1929 loss: 0.4066 2022/08/26 17:22:31 - mmengine - INFO - Epoch(train) [83][75/125] lr: 8.0000e-03 eta: 1:08:24 time: 0.3599 data_time: 0.0860 memory: 6268 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0085 loss_cls: 0.0935 acc: 96.5332 loss_bbox: 0.1353 loss_mask: 0.1998 loss: 0.4432 2022/08/26 17:22:33 - mmengine - INFO - Epoch(train) [83][80/125] lr: 8.0000e-03 eta: 1:08:20 time: 0.4175 data_time: 0.1463 memory: 6564 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0135 loss_cls: 0.0884 acc: 97.4854 loss_bbox: 0.1221 loss_mask: 0.2133 loss: 0.4463 2022/08/26 17:22:35 - mmengine - INFO - Epoch(train) [83][85/125] lr: 8.0000e-03 eta: 1:08:20 time: 0.3966 data_time: 0.1273 memory: 6725 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0145 loss_cls: 0.0840 acc: 97.9736 loss_bbox: 0.1227 loss_mask: 0.2214 loss: 0.4535 2022/08/26 17:22:37 - mmengine - INFO - Epoch(train) [83][90/125] lr: 8.0000e-03 eta: 1:08:15 time: 0.3911 data_time: 0.0737 memory: 6382 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0132 loss_cls: 0.0861 acc: 95.7520 loss_bbox: 0.1342 loss_mask: 0.2069 loss: 0.4498 2022/08/26 17:22:39 - mmengine - INFO - Epoch(train) [83][95/125] lr: 8.0000e-03 eta: 1:08:15 time: 0.3857 data_time: 0.0677 memory: 6366 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0110 loss_cls: 0.0859 acc: 96.3623 loss_bbox: 0.1352 loss_mask: 0.2037 loss: 0.4441 2022/08/26 17:22:41 - mmengine - INFO - Epoch(train) [83][100/125] lr: 8.0000e-03 eta: 1:08:10 time: 0.3481 data_time: 0.0765 memory: 6513 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0087 loss_cls: 0.0898 acc: 95.8984 loss_bbox: 0.1328 loss_mask: 0.2121 loss: 0.4523 2022/08/26 17:22:43 - mmengine - INFO - Epoch(train) [83][105/125] lr: 8.0000e-03 eta: 1:08:10 time: 0.3860 data_time: 0.1165 memory: 6532 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0108 loss_cls: 0.0856 acc: 96.8018 loss_bbox: 0.1239 loss_mask: 0.2180 loss: 0.4476 2022/08/26 17:22:45 - mmengine - INFO - Epoch(train) [83][110/125] lr: 8.0000e-03 eta: 1:08:06 time: 0.4594 data_time: 0.1108 memory: 6773 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0155 loss_cls: 0.0897 acc: 94.2627 loss_bbox: 0.1357 loss_mask: 0.2086 loss: 0.4607 2022/08/26 17:22:47 - mmengine - INFO - Epoch(train) [83][115/125] lr: 8.0000e-03 eta: 1:08:06 time: 0.4182 data_time: 0.0715 memory: 6222 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0130 loss_cls: 0.0835 acc: 96.4111 loss_bbox: 0.1230 loss_mask: 0.1992 loss: 0.4284 2022/08/26 17:22:49 - mmengine - INFO - Epoch(train) [83][120/125] lr: 8.0000e-03 eta: 1:08:01 time: 0.3498 data_time: 0.0817 memory: 6453 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0101 loss_cls: 0.0780 acc: 96.7529 loss_bbox: 0.1091 loss_mask: 0.2001 loss: 0.4033 2022/08/26 17:22:50 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:22:50 - mmengine - INFO - Epoch(train) [83][125/125] lr: 8.0000e-03 eta: 1:08:01 time: 0.3396 data_time: 0.0699 memory: 6277 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0110 loss_cls: 0.0831 acc: 97.4609 loss_bbox: 0.1171 loss_mask: 0.1966 loss: 0.4152 2022/08/26 17:22:54 - mmengine - INFO - Epoch(train) [84][5/125] lr: 8.0000e-03 eta: 1:08:01 time: 0.4538 data_time: 0.1801 memory: 6679 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0123 loss_cls: 0.0911 acc: 96.9727 loss_bbox: 0.1297 loss_mask: 0.1998 loss: 0.4425 2022/08/26 17:22:57 - mmengine - INFO - Epoch(train) [84][10/125] lr: 8.0000e-03 eta: 1:07:55 time: 0.6381 data_time: 0.2982 memory: 6823 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0164 loss_cls: 0.1107 acc: 95.9717 loss_bbox: 0.1580 loss_mask: 0.2138 loss: 0.5107 2022/08/26 17:22:59 - mmengine - INFO - Epoch(train) [84][15/125] lr: 8.0000e-03 eta: 1:07:55 time: 0.5315 data_time: 0.1975 memory: 6392 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0137 loss_cls: 0.0946 acc: 98.4863 loss_bbox: 0.1495 loss_mask: 0.2039 loss: 0.4704 2022/08/26 17:23:01 - mmengine - INFO - Epoch(train) [84][20/125] lr: 8.0000e-03 eta: 1:07:50 time: 0.3545 data_time: 0.0829 memory: 6581 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0116 loss_cls: 0.0831 acc: 96.4600 loss_bbox: 0.1325 loss_mask: 0.1905 loss: 0.4252 2022/08/26 17:23:02 - mmengine - INFO - Epoch(train) [84][25/125] lr: 8.0000e-03 eta: 1:07:50 time: 0.3427 data_time: 0.0657 memory: 6444 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0133 loss_cls: 0.0966 acc: 96.6553 loss_bbox: 0.1450 loss_mask: 0.2027 loss: 0.4666 2022/08/26 17:23:04 - mmengine - INFO - Epoch(train) [84][30/125] lr: 8.0000e-03 eta: 1:07:45 time: 0.3465 data_time: 0.0684 memory: 6493 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0111 loss_cls: 0.0931 acc: 98.6572 loss_bbox: 0.1368 loss_mask: 0.2180 loss: 0.4676 2022/08/26 17:23:06 - mmengine - INFO - Epoch(train) [84][35/125] lr: 8.0000e-03 eta: 1:07:45 time: 0.3803 data_time: 0.1024 memory: 6160 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0082 loss_cls: 0.0725 acc: 97.2168 loss_bbox: 0.1000 loss_mask: 0.1978 loss: 0.3864 2022/08/26 17:23:08 - mmengine - INFO - Epoch(train) [84][40/125] lr: 8.0000e-03 eta: 1:07:41 time: 0.4368 data_time: 0.1345 memory: 6144 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0098 loss_cls: 0.0701 acc: 96.5820 loss_bbox: 0.0931 loss_mask: 0.1965 loss: 0.3766 2022/08/26 17:23:10 - mmengine - INFO - Epoch(train) [84][45/125] lr: 8.0000e-03 eta: 1:07:41 time: 0.3928 data_time: 0.0940 memory: 6561 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0121 loss_cls: 0.0944 acc: 95.8740 loss_bbox: 0.1325 loss_mask: 0.2202 loss: 0.4668 2022/08/26 17:23:13 - mmengine - INFO - Epoch(train) [84][50/125] lr: 8.0000e-03 eta: 1:07:37 time: 0.4180 data_time: 0.1267 memory: 6262 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0110 loss_cls: 0.0929 acc: 97.2168 loss_bbox: 0.1373 loss_mask: 0.2071 loss: 0.4555 2022/08/26 17:23:15 - mmengine - INFO - Epoch(train) [84][55/125] lr: 8.0000e-03 eta: 1:07:37 time: 0.4545 data_time: 0.1535 memory: 6793 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0137 loss_cls: 0.0957 acc: 93.9453 loss_bbox: 0.1406 loss_mask: 0.2225 loss: 0.4827 2022/08/26 17:23:17 - mmengine - INFO - Epoch(train) [84][60/125] lr: 8.0000e-03 eta: 1:07:32 time: 0.4094 data_time: 0.1162 memory: 6235 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0133 loss_cls: 0.0987 acc: 96.8506 loss_bbox: 0.1456 loss_mask: 0.2261 loss: 0.4943 2022/08/26 17:23:19 - mmengine - INFO - Epoch(train) [84][65/125] lr: 8.0000e-03 eta: 1:07:32 time: 0.4166 data_time: 0.1330 memory: 6252 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0080 loss_cls: 0.0849 acc: 96.6553 loss_bbox: 0.1251 loss_mask: 0.2046 loss: 0.4289 2022/08/26 17:23:20 - mmengine - INFO - Epoch(train) [84][70/125] lr: 8.0000e-03 eta: 1:07:28 time: 0.3780 data_time: 0.1067 memory: 6324 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0073 loss_cls: 0.0822 acc: 97.4609 loss_bbox: 0.1194 loss_mask: 0.2020 loss: 0.4174 2022/08/26 17:23:22 - mmengine - INFO - Epoch(train) [84][75/125] lr: 8.0000e-03 eta: 1:07:28 time: 0.3449 data_time: 0.0716 memory: 6587 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0113 loss_cls: 0.0818 acc: 98.5352 loss_bbox: 0.1235 loss_mask: 0.2107 loss: 0.4348 2022/08/26 17:23:24 - mmengine - INFO - Epoch(train) [84][80/125] lr: 8.0000e-03 eta: 1:07:23 time: 0.3755 data_time: 0.0990 memory: 6320 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0120 loss_cls: 0.0833 acc: 96.1914 loss_bbox: 0.1263 loss_mask: 0.2140 loss: 0.4420 2022/08/26 17:23:28 - mmengine - INFO - Epoch(train) [84][85/125] lr: 8.0000e-03 eta: 1:07:23 time: 0.5818 data_time: 0.1976 memory: 6512 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0088 loss_cls: 0.0789 acc: 98.3887 loss_bbox: 0.1187 loss_mask: 0.1940 loss: 0.4080 2022/08/26 17:23:30 - mmengine - INFO - Epoch(train) [84][90/125] lr: 8.0000e-03 eta: 1:07:20 time: 0.5751 data_time: 0.1923 memory: 6382 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0097 loss_cls: 0.0798 acc: 95.6299 loss_bbox: 0.1226 loss_mask: 0.2010 loss: 0.4232 2022/08/26 17:23:32 - mmengine - INFO - Epoch(train) [84][95/125] lr: 8.0000e-03 eta: 1:07:20 time: 0.3617 data_time: 0.0867 memory: 6754 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0113 loss_cls: 0.0854 acc: 97.8271 loss_bbox: 0.1223 loss_mask: 0.2140 loss: 0.4456 2022/08/26 17:23:33 - mmengine - INFO - Epoch(train) [84][100/125] lr: 8.0000e-03 eta: 1:07:15 time: 0.3398 data_time: 0.0711 memory: 6101 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0112 loss_cls: 0.0780 acc: 98.1689 loss_bbox: 0.1093 loss_mask: 0.2102 loss: 0.4216 2022/08/26 17:23:35 - mmengine - INFO - Epoch(train) [84][105/125] lr: 8.0000e-03 eta: 1:07:15 time: 0.3626 data_time: 0.0947 memory: 6336 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0103 loss_cls: 0.0797 acc: 95.8496 loss_bbox: 0.1202 loss_mask: 0.2085 loss: 0.4293 2022/08/26 17:23:37 - mmengine - INFO - Epoch(train) [84][110/125] lr: 8.0000e-03 eta: 1:07:10 time: 0.3584 data_time: 0.0853 memory: 6124 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0089 loss_cls: 0.0838 acc: 96.2158 loss_bbox: 0.1238 loss_mask: 0.1971 loss: 0.4213 2022/08/26 17:23:39 - mmengine - INFO - Epoch(train) [84][115/125] lr: 8.0000e-03 eta: 1:07:10 time: 0.3406 data_time: 0.0662 memory: 6090 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0072 loss_cls: 0.0776 acc: 98.0225 loss_bbox: 0.0993 loss_mask: 0.1903 loss: 0.3807 2022/08/26 17:23:41 - mmengine - INFO - Epoch(train) [84][120/125] lr: 8.0000e-03 eta: 1:07:06 time: 0.3701 data_time: 0.0971 memory: 6636 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0115 loss_cls: 0.0868 acc: 93.5059 loss_bbox: 0.1098 loss_mask: 0.2050 loss: 0.4222 2022/08/26 17:23:42 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:23:42 - mmengine - INFO - Epoch(train) [84][125/125] lr: 8.0000e-03 eta: 1:07:06 time: 0.3531 data_time: 0.0813 memory: 6345 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0160 loss_cls: 0.0943 acc: 97.5098 loss_bbox: 0.1282 loss_mask: 0.2202 loss: 0.4687 2022/08/26 17:23:45 - mmengine - INFO - Epoch(train) [85][5/125] lr: 8.0000e-03 eta: 1:07:06 time: 0.4501 data_time: 0.1800 memory: 6580 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0136 loss_cls: 0.0864 acc: 96.9482 loss_bbox: 0.1261 loss_mask: 0.2109 loss: 0.4445 2022/08/26 17:23:47 - mmengine - INFO - Epoch(train) [85][10/125] lr: 8.0000e-03 eta: 1:06:58 time: 0.5104 data_time: 0.2065 memory: 6652 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0139 loss_cls: 0.0966 acc: 95.4102 loss_bbox: 0.1421 loss_mask: 0.2133 loss: 0.4748 2022/08/26 17:23:51 - mmengine - INFO - Epoch(train) [85][15/125] lr: 8.0000e-03 eta: 1:06:58 time: 0.5370 data_time: 0.2182 memory: 6590 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0138 loss_cls: 0.0956 acc: 95.5566 loss_bbox: 0.1482 loss_mask: 0.2063 loss: 0.4722 2022/08/26 17:23:54 - mmengine - INFO - Epoch(train) [85][20/125] lr: 8.0000e-03 eta: 1:06:56 time: 0.6247 data_time: 0.3406 memory: 6607 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0136 loss_cls: 0.0971 acc: 95.0928 loss_bbox: 0.1443 loss_mask: 0.2007 loss: 0.4642 2022/08/26 17:23:55 - mmengine - INFO - Epoch(train) [85][25/125] lr: 8.0000e-03 eta: 1:06:56 time: 0.4664 data_time: 0.1939 memory: 6692 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0151 loss_cls: 0.1079 acc: 95.9473 loss_bbox: 0.1541 loss_mask: 0.2153 loss: 0.5015 2022/08/26 17:23:58 - mmengine - INFO - Epoch(train) [85][30/125] lr: 8.0000e-03 eta: 1:06:51 time: 0.3907 data_time: 0.0868 memory: 6467 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0135 loss_cls: 0.0944 acc: 95.6787 loss_bbox: 0.1418 loss_mask: 0.2200 loss: 0.4769 2022/08/26 17:23:59 - mmengine - INFO - Epoch(train) [85][35/125] lr: 8.0000e-03 eta: 1:06:51 time: 0.3992 data_time: 0.0968 memory: 6512 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0110 loss_cls: 0.0840 acc: 97.6562 loss_bbox: 0.1270 loss_mask: 0.2197 loss: 0.4489 2022/08/26 17:24:01 - mmengine - INFO - Epoch(train) [85][40/125] lr: 8.0000e-03 eta: 1:06:46 time: 0.3532 data_time: 0.0843 memory: 6800 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0093 loss_cls: 0.0847 acc: 97.6807 loss_bbox: 0.1317 loss_mask: 0.2110 loss: 0.4446 2022/08/26 17:24:03 - mmengine - INFO - Epoch(train) [85][45/125] lr: 8.0000e-03 eta: 1:06:46 time: 0.3876 data_time: 0.1216 memory: 6141 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0093 loss_cls: 0.0797 acc: 96.9482 loss_bbox: 0.1212 loss_mask: 0.1979 loss: 0.4150 2022/08/26 17:24:05 - mmengine - INFO - Epoch(train) [85][50/125] lr: 8.0000e-03 eta: 1:06:42 time: 0.4325 data_time: 0.1674 memory: 6213 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0082 loss_cls: 0.0742 acc: 96.7041 loss_bbox: 0.1088 loss_mask: 0.1912 loss: 0.3883 2022/08/26 17:24:09 - mmengine - INFO - Epoch(train) [85][55/125] lr: 8.0000e-03 eta: 1:06:42 time: 0.5388 data_time: 0.1363 memory: 6258 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0092 loss_cls: 0.0812 acc: 98.0713 loss_bbox: 0.1171 loss_mask: 0.1946 loss: 0.4078 2022/08/26 17:24:10 - mmengine - INFO - Epoch(train) [85][60/125] lr: 8.0000e-03 eta: 1:06:39 time: 0.4879 data_time: 0.0801 memory: 6375 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0108 loss_cls: 0.0826 acc: 97.5830 loss_bbox: 0.1193 loss_mask: 0.1993 loss: 0.4184 2022/08/26 17:24:12 - mmengine - INFO - Epoch(train) [85][65/125] lr: 8.0000e-03 eta: 1:06:39 time: 0.3552 data_time: 0.0784 memory: 6217 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0114 loss_cls: 0.0806 acc: 96.8018 loss_bbox: 0.1096 loss_mask: 0.2021 loss: 0.4115 2022/08/26 17:24:14 - mmengine - INFO - Epoch(train) [85][70/125] lr: 8.0000e-03 eta: 1:06:34 time: 0.3996 data_time: 0.1208 memory: 6489 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0112 loss_cls: 0.0839 acc: 95.4102 loss_bbox: 0.1129 loss_mask: 0.1930 loss: 0.4080 2022/08/26 17:24:16 - mmengine - INFO - Epoch(train) [85][75/125] lr: 8.0000e-03 eta: 1:06:34 time: 0.3927 data_time: 0.1216 memory: 6151 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0096 loss_cls: 0.0763 acc: 97.9004 loss_bbox: 0.1087 loss_mask: 0.1893 loss: 0.3892 2022/08/26 17:24:18 - mmengine - INFO - Epoch(train) [85][80/125] lr: 8.0000e-03 eta: 1:06:30 time: 0.3828 data_time: 0.1150 memory: 6613 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0096 loss_cls: 0.0761 acc: 97.0703 loss_bbox: 0.1104 loss_mask: 0.1944 loss: 0.3961 2022/08/26 17:24:20 - mmengine - INFO - Epoch(train) [85][85/125] lr: 8.0000e-03 eta: 1:06:30 time: 0.3770 data_time: 0.1043 memory: 6418 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0091 loss_cls: 0.0822 acc: 98.3887 loss_bbox: 0.1254 loss_mask: 0.2135 loss: 0.4367 2022/08/26 17:24:21 - mmengine - INFO - Epoch(train) [85][90/125] lr: 8.0000e-03 eta: 1:06:24 time: 0.3287 data_time: 0.0592 memory: 6532 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0082 loss_cls: 0.0793 acc: 96.6309 loss_bbox: 0.1206 loss_mask: 0.2169 loss: 0.4308 2022/08/26 17:24:24 - mmengine - INFO - Epoch(train) [85][95/125] lr: 8.0000e-03 eta: 1:06:24 time: 0.4057 data_time: 0.0763 memory: 6444 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0119 loss_cls: 0.0838 acc: 97.8760 loss_bbox: 0.1241 loss_mask: 0.2109 loss: 0.4379 2022/08/26 17:24:26 - mmengine - INFO - Epoch(train) [85][100/125] lr: 8.0000e-03 eta: 1:06:21 time: 0.4518 data_time: 0.1128 memory: 6777 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0142 loss_cls: 0.0872 acc: 97.3389 loss_bbox: 0.1327 loss_mask: 0.2067 loss: 0.4490 2022/08/26 17:24:28 - mmengine - INFO - Epoch(train) [85][105/125] lr: 8.0000e-03 eta: 1:06:21 time: 0.4338 data_time: 0.1517 memory: 6399 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0126 loss_cls: 0.0901 acc: 96.7285 loss_bbox: 0.1221 loss_mask: 0.1955 loss: 0.4323 2022/08/26 17:24:30 - mmengine - INFO - Epoch(train) [85][110/125] lr: 8.0000e-03 eta: 1:06:16 time: 0.3766 data_time: 0.1052 memory: 6222 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0099 loss_cls: 0.0881 acc: 97.4121 loss_bbox: 0.1132 loss_mask: 0.1997 loss: 0.4240 2022/08/26 17:24:31 - mmengine - INFO - Epoch(train) [85][115/125] lr: 8.0000e-03 eta: 1:06:16 time: 0.3125 data_time: 0.0464 memory: 6493 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0092 loss_cls: 0.0910 acc: 96.8018 loss_bbox: 0.1257 loss_mask: 0.2170 loss: 0.4548 2022/08/26 17:24:33 - mmengine - INFO - Epoch(train) [85][120/125] lr: 8.0000e-03 eta: 1:06:11 time: 0.3308 data_time: 0.0612 memory: 6239 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0119 loss_cls: 0.0940 acc: 95.8740 loss_bbox: 0.1329 loss_mask: 0.2246 loss: 0.4758 2022/08/26 17:24:35 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:24:35 - mmengine - INFO - Epoch(train) [85][125/125] lr: 8.0000e-03 eta: 1:06:11 time: 0.3291 data_time: 0.0570 memory: 6399 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0112 loss_cls: 0.0876 acc: 96.4355 loss_bbox: 0.1253 loss_mask: 0.2182 loss: 0.4514 2022/08/26 17:24:38 - mmengine - INFO - Epoch(train) [86][5/125] lr: 8.0000e-03 eta: 1:06:11 time: 0.4624 data_time: 0.1721 memory: 6307 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0086 loss_cls: 0.0839 acc: 95.7275 loss_bbox: 0.1104 loss_mask: 0.2163 loss: 0.4258 2022/08/26 17:24:40 - mmengine - INFO - Epoch(train) [86][10/125] lr: 8.0000e-03 eta: 1:06:04 time: 0.5311 data_time: 0.2413 memory: 6466 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0103 loss_cls: 0.0887 acc: 96.9727 loss_bbox: 0.1203 loss_mask: 0.2062 loss: 0.4340 2022/08/26 17:24:42 - mmengine - INFO - Epoch(train) [86][15/125] lr: 8.0000e-03 eta: 1:06:04 time: 0.3868 data_time: 0.1174 memory: 6747 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0131 loss_cls: 0.0977 acc: 94.2383 loss_bbox: 0.1379 loss_mask: 0.2051 loss: 0.4640 2022/08/26 17:24:44 - mmengine - INFO - Epoch(train) [86][20/125] lr: 8.0000e-03 eta: 1:05:59 time: 0.3906 data_time: 0.1194 memory: 6567 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0124 loss_cls: 0.0984 acc: 96.7041 loss_bbox: 0.1438 loss_mask: 0.2103 loss: 0.4742 2022/08/26 17:24:46 - mmengine - INFO - Epoch(train) [86][25/125] lr: 8.0000e-03 eta: 1:05:59 time: 0.3849 data_time: 0.1173 memory: 5953 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0094 loss_cls: 0.0822 acc: 97.5342 loss_bbox: 0.1216 loss_mask: 0.1955 loss: 0.4168 2022/08/26 17:24:48 - mmengine - INFO - Epoch(train) [86][30/125] lr: 8.0000e-03 eta: 1:05:54 time: 0.3669 data_time: 0.0875 memory: 6137 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0094 loss_cls: 0.0787 acc: 95.5078 loss_bbox: 0.1043 loss_mask: 0.1939 loss: 0.3946 2022/08/26 17:24:50 - mmengine - INFO - Epoch(train) [86][35/125] lr: 8.0000e-03 eta: 1:05:54 time: 0.3851 data_time: 0.0980 memory: 6512 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0112 loss_cls: 0.0864 acc: 96.0693 loss_bbox: 0.1262 loss_mask: 0.2072 loss: 0.4397 2022/08/26 17:24:51 - mmengine - INFO - Epoch(train) [86][40/125] lr: 8.0000e-03 eta: 1:05:49 time: 0.3520 data_time: 0.0782 memory: 6519 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0129 loss_cls: 0.0890 acc: 97.4365 loss_bbox: 0.1324 loss_mask: 0.2078 loss: 0.4522 2022/08/26 17:24:54 - mmengine - INFO - Epoch(train) [86][45/125] lr: 8.0000e-03 eta: 1:05:49 time: 0.3881 data_time: 0.0910 memory: 6369 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0124 loss_cls: 0.0905 acc: 96.5576 loss_bbox: 0.1229 loss_mask: 0.1971 loss: 0.4321 2022/08/26 17:24:56 - mmengine - INFO - Epoch(train) [86][50/125] lr: 8.0000e-03 eta: 1:05:45 time: 0.4083 data_time: 0.0799 memory: 7781 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0110 loss_cls: 0.0953 acc: 95.4590 loss_bbox: 0.1411 loss_mask: 0.2021 loss: 0.4574 2022/08/26 17:24:58 - mmengine - INFO - Epoch(train) [86][55/125] lr: 8.0000e-03 eta: 1:05:45 time: 0.4056 data_time: 0.0807 memory: 7734 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0125 loss_cls: 0.1058 acc: 95.8008 loss_bbox: 0.1592 loss_mask: 0.2226 loss: 0.5091 2022/08/26 17:25:00 - mmengine - INFO - Epoch(train) [86][60/125] lr: 8.0000e-03 eta: 1:05:41 time: 0.3994 data_time: 0.1105 memory: 6084 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0123 loss_cls: 0.0878 acc: 97.1680 loss_bbox: 0.1240 loss_mask: 0.2182 loss: 0.4499 2022/08/26 17:25:01 - mmengine - INFO - Epoch(train) [86][65/125] lr: 8.0000e-03 eta: 1:05:41 time: 0.3768 data_time: 0.1056 memory: 6486 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0174 loss_cls: 0.0877 acc: 97.9004 loss_bbox: 0.1251 loss_mask: 0.2162 loss: 0.4554 2022/08/26 17:25:04 - mmengine - INFO - Epoch(train) [86][70/125] lr: 8.0000e-03 eta: 1:05:36 time: 0.4072 data_time: 0.1346 memory: 6019 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0145 loss_cls: 0.0872 acc: 97.3145 loss_bbox: 0.1251 loss_mask: 0.2168 loss: 0.4520 2022/08/26 17:25:07 - mmengine - INFO - Epoch(train) [86][75/125] lr: 8.0000e-03 eta: 1:05:36 time: 0.5374 data_time: 0.1989 memory: 7392 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0081 loss_cls: 0.0696 acc: 98.6572 loss_bbox: 0.1051 loss_mask: 0.2056 loss: 0.3966 2022/08/26 17:25:08 - mmengine - INFO - Epoch(train) [86][80/125] lr: 8.0000e-03 eta: 1:05:32 time: 0.4732 data_time: 0.1310 memory: 6219 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0102 loss_cls: 0.0765 acc: 97.1924 loss_bbox: 0.1175 loss_mask: 0.2046 loss: 0.4166 2022/08/26 17:25:10 - mmengine - INFO - Epoch(train) [86][85/125] lr: 8.0000e-03 eta: 1:05:32 time: 0.3734 data_time: 0.1049 memory: 6382 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0111 loss_cls: 0.0811 acc: 97.2412 loss_bbox: 0.1184 loss_mask: 0.2087 loss: 0.4274 2022/08/26 17:25:12 - mmengine - INFO - Epoch(train) [86][90/125] lr: 8.0000e-03 eta: 1:05:28 time: 0.3670 data_time: 0.0980 memory: 6212 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0121 loss_cls: 0.0827 acc: 95.8496 loss_bbox: 0.1162 loss_mask: 0.2173 loss: 0.4366 2022/08/26 17:25:14 - mmengine - INFO - Epoch(train) [86][95/125] lr: 8.0000e-03 eta: 1:05:28 time: 0.3249 data_time: 0.0546 memory: 6598 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0099 loss_cls: 0.0890 acc: 96.8018 loss_bbox: 0.1127 loss_mask: 0.2207 loss: 0.4402 2022/08/26 17:25:16 - mmengine - INFO - Epoch(train) [86][100/125] lr: 8.0000e-03 eta: 1:05:23 time: 0.3845 data_time: 0.0864 memory: 7401 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0102 loss_cls: 0.0948 acc: 94.7998 loss_bbox: 0.1307 loss_mask: 0.2073 loss: 0.4518 2022/08/26 17:25:18 - mmengine - INFO - Epoch(train) [86][105/125] lr: 8.0000e-03 eta: 1:05:23 time: 0.3905 data_time: 0.0935 memory: 6222 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0123 loss_cls: 0.0902 acc: 96.0205 loss_bbox: 0.1346 loss_mask: 0.2027 loss: 0.4474 2022/08/26 17:25:20 - mmengine - INFO - Epoch(train) [86][110/125] lr: 8.0000e-03 eta: 1:05:19 time: 0.3721 data_time: 0.1041 memory: 6453 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0107 loss_cls: 0.0906 acc: 97.1924 loss_bbox: 0.1223 loss_mask: 0.2186 loss: 0.4496 2022/08/26 17:25:21 - mmengine - INFO - Epoch(train) [86][115/125] lr: 8.0000e-03 eta: 1:05:19 time: 0.3851 data_time: 0.1172 memory: 6606 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0111 loss_cls: 0.0923 acc: 96.0693 loss_bbox: 0.1300 loss_mask: 0.2248 loss: 0.4665 2022/08/26 17:25:23 - mmengine - INFO - Epoch(train) [86][120/125] lr: 8.0000e-03 eta: 1:05:14 time: 0.3681 data_time: 0.0971 memory: 6529 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0123 loss_cls: 0.0817 acc: 98.1445 loss_bbox: 0.1192 loss_mask: 0.2045 loss: 0.4262 2022/08/26 17:25:25 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:25:25 - mmengine - INFO - Epoch(train) [86][125/125] lr: 8.0000e-03 eta: 1:05:14 time: 0.3322 data_time: 0.0628 memory: 6223 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0126 loss_cls: 0.0776 acc: 97.4609 loss_bbox: 0.1058 loss_mask: 0.1936 loss: 0.3964 2022/08/26 17:25:29 - mmengine - INFO - Epoch(train) [87][5/125] lr: 8.0000e-03 eta: 1:05:14 time: 0.6105 data_time: 0.2348 memory: 6413 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0116 loss_cls: 0.0858 acc: 96.8994 loss_bbox: 0.1157 loss_mask: 0.2039 loss: 0.4250 2022/08/26 17:25:32 - mmengine - INFO - Epoch(train) [87][10/125] lr: 8.0000e-03 eta: 1:05:08 time: 0.6676 data_time: 0.2931 memory: 6317 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0097 loss_cls: 0.0847 acc: 97.9492 loss_bbox: 0.1153 loss_mask: 0.2137 loss: 0.4340 2022/08/26 17:25:34 - mmengine - INFO - Epoch(train) [87][15/125] lr: 8.0000e-03 eta: 1:05:08 time: 0.4089 data_time: 0.1446 memory: 6659 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0079 loss_cls: 0.0767 acc: 96.0693 loss_bbox: 0.1117 loss_mask: 0.2043 loss: 0.4090 2022/08/26 17:25:37 - mmengine - INFO - Epoch(train) [87][20/125] lr: 8.0000e-03 eta: 1:05:04 time: 0.5013 data_time: 0.2135 memory: 7055 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0103 loss_cls: 0.0957 acc: 95.4834 loss_bbox: 0.1334 loss_mask: 0.2049 loss: 0.4543 2022/08/26 17:25:39 - mmengine - INFO - Epoch(train) [87][25/125] lr: 8.0000e-03 eta: 1:05:04 time: 0.5099 data_time: 0.2211 memory: 6434 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0132 loss_cls: 0.1040 acc: 97.2412 loss_bbox: 0.1384 loss_mask: 0.2110 loss: 0.4776 2022/08/26 17:25:40 - mmengine - INFO - Epoch(train) [87][30/125] lr: 8.0000e-03 eta: 1:05:00 time: 0.3832 data_time: 0.1153 memory: 6613 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0122 loss_cls: 0.0878 acc: 97.0459 loss_bbox: 0.1268 loss_mask: 0.2081 loss: 0.4441 2022/08/26 17:25:42 - mmengine - INFO - Epoch(train) [87][35/125] lr: 8.0000e-03 eta: 1:05:00 time: 0.3324 data_time: 0.0648 memory: 6190 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0102 loss_cls: 0.0768 acc: 97.8271 loss_bbox: 0.1116 loss_mask: 0.2065 loss: 0.4133 2022/08/26 17:25:44 - mmengine - INFO - Epoch(train) [87][40/125] lr: 8.0000e-03 eta: 1:04:55 time: 0.3576 data_time: 0.0864 memory: 6313 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0093 loss_cls: 0.0750 acc: 96.4600 loss_bbox: 0.1123 loss_mask: 0.2029 loss: 0.4058 2022/08/26 17:25:46 - mmengine - INFO - Epoch(train) [87][45/125] lr: 8.0000e-03 eta: 1:04:55 time: 0.3682 data_time: 0.0968 memory: 6241 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0094 loss_cls: 0.0899 acc: 96.5576 loss_bbox: 0.1308 loss_mask: 0.2117 loss: 0.4492 2022/08/26 17:25:48 - mmengine - INFO - Epoch(train) [87][50/125] lr: 8.0000e-03 eta: 1:04:50 time: 0.3982 data_time: 0.0709 memory: 6656 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0097 loss_cls: 0.0965 acc: 98.1445 loss_bbox: 0.1380 loss_mask: 0.2086 loss: 0.4607 2022/08/26 17:25:50 - mmengine - INFO - Epoch(train) [87][55/125] lr: 8.0000e-03 eta: 1:04:50 time: 0.4058 data_time: 0.0772 memory: 6437 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0112 loss_cls: 0.0891 acc: 96.9971 loss_bbox: 0.1356 loss_mask: 0.2057 loss: 0.4491 2022/08/26 17:25:52 - mmengine - INFO - Epoch(train) [87][60/125] lr: 8.0000e-03 eta: 1:04:46 time: 0.3655 data_time: 0.0927 memory: 6614 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0122 loss_cls: 0.0842 acc: 95.2148 loss_bbox: 0.1271 loss_mask: 0.2059 loss: 0.4369 2022/08/26 17:25:53 - mmengine - INFO - Epoch(train) [87][65/125] lr: 8.0000e-03 eta: 1:04:46 time: 0.3665 data_time: 0.0955 memory: 6383 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0122 loss_cls: 0.0855 acc: 97.3877 loss_bbox: 0.1271 loss_mask: 0.2026 loss: 0.4376 2022/08/26 17:25:55 - mmengine - INFO - Epoch(train) [87][70/125] lr: 8.0000e-03 eta: 1:04:41 time: 0.3663 data_time: 0.0942 memory: 6613 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0114 loss_cls: 0.0881 acc: 97.5098 loss_bbox: 0.1267 loss_mask: 0.2025 loss: 0.4403 2022/08/26 17:25:58 - mmengine - INFO - Epoch(train) [87][75/125] lr: 8.0000e-03 eta: 1:04:41 time: 0.4792 data_time: 0.0993 memory: 6219 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0132 loss_cls: 0.0828 acc: 98.3154 loss_bbox: 0.1137 loss_mask: 0.2043 loss: 0.4243 2022/08/26 17:26:00 - mmengine - INFO - Epoch(train) [87][80/125] lr: 8.0000e-03 eta: 1:04:37 time: 0.4862 data_time: 0.1082 memory: 6773 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0126 loss_cls: 0.0823 acc: 95.7764 loss_bbox: 0.1191 loss_mask: 0.2011 loss: 0.4230 2022/08/26 17:26:02 - mmengine - INFO - Epoch(train) [87][85/125] lr: 8.0000e-03 eta: 1:04:37 time: 0.4123 data_time: 0.1111 memory: 7702 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0116 loss_cls: 0.0966 acc: 97.3389 loss_bbox: 0.1493 loss_mask: 0.1947 loss: 0.4591 2022/08/26 17:26:04 - mmengine - INFO - Epoch(train) [87][90/125] lr: 8.0000e-03 eta: 1:04:33 time: 0.3890 data_time: 0.0878 memory: 6271 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0131 loss_cls: 0.0920 acc: 97.4854 loss_bbox: 0.1381 loss_mask: 0.1995 loss: 0.4500 2022/08/26 17:26:06 - mmengine - INFO - Epoch(train) [87][95/125] lr: 8.0000e-03 eta: 1:04:33 time: 0.3937 data_time: 0.1162 memory: 6402 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0102 loss_cls: 0.0751 acc: 97.4609 loss_bbox: 0.1104 loss_mask: 0.2093 loss: 0.4101 2022/08/26 17:26:08 - mmengine - INFO - Epoch(train) [87][100/125] lr: 8.0000e-03 eta: 1:04:28 time: 0.3969 data_time: 0.1190 memory: 6267 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0086 loss_cls: 0.0807 acc: 96.9238 loss_bbox: 0.1164 loss_mask: 0.2073 loss: 0.4180 2022/08/26 17:26:10 - mmengine - INFO - Epoch(train) [87][105/125] lr: 8.0000e-03 eta: 1:04:28 time: 0.3571 data_time: 0.0825 memory: 6290 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0094 loss_cls: 0.0817 acc: 97.6318 loss_bbox: 0.1210 loss_mask: 0.2079 loss: 0.4284 2022/08/26 17:26:12 - mmengine - INFO - Epoch(train) [87][110/125] lr: 8.0000e-03 eta: 1:04:24 time: 0.3635 data_time: 0.0940 memory: 6210 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0084 loss_cls: 0.0719 acc: 97.2656 loss_bbox: 0.1138 loss_mask: 0.2132 loss: 0.4158 2022/08/26 17:26:13 - mmengine - INFO - Epoch(train) [87][115/125] lr: 8.0000e-03 eta: 1:04:24 time: 0.3521 data_time: 0.0836 memory: 6851 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0099 loss_cls: 0.0794 acc: 96.2158 loss_bbox: 0.1240 loss_mask: 0.2005 loss: 0.4226 2022/08/26 17:26:16 - mmengine - INFO - Epoch(train) [87][120/125] lr: 8.0000e-03 eta: 1:04:19 time: 0.3886 data_time: 0.1175 memory: 6258 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0099 loss_cls: 0.0860 acc: 96.0449 loss_bbox: 0.1285 loss_mask: 0.2010 loss: 0.4333 2022/08/26 17:26:18 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:26:19 - mmengine - INFO - Epoch(train) [87][125/125] lr: 8.0000e-03 eta: 1:04:19 time: 0.5138 data_time: 0.1417 memory: 6330 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0096 loss_cls: 0.0709 acc: 98.5107 loss_bbox: 0.1077 loss_mask: 0.1952 loss: 0.3892 2022/08/26 17:26:21 - mmengine - INFO - Epoch(train) [88][5/125] lr: 8.0000e-03 eta: 1:04:19 time: 0.5773 data_time: 0.2007 memory: 6597 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0104 loss_cls: 0.0687 acc: 98.0957 loss_bbox: 0.1095 loss_mask: 0.1908 loss: 0.3855 2022/08/26 17:26:24 - mmengine - INFO - Epoch(train) [88][10/125] lr: 8.0000e-03 eta: 1:04:12 time: 0.5088 data_time: 0.2080 memory: 8040 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0123 loss_cls: 0.0856 acc: 92.0166 loss_bbox: 0.1350 loss_mask: 0.2058 loss: 0.4470 2022/08/26 17:26:27 - mmengine - INFO - Epoch(train) [88][15/125] lr: 8.0000e-03 eta: 1:04:12 time: 0.5242 data_time: 0.2228 memory: 6419 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0131 loss_cls: 0.0919 acc: 98.1201 loss_bbox: 0.1390 loss_mask: 0.2060 loss: 0.4594 2022/08/26 17:26:29 - mmengine - INFO - Epoch(train) [88][20/125] lr: 8.0000e-03 eta: 1:04:08 time: 0.5087 data_time: 0.2366 memory: 6313 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0097 loss_cls: 0.0824 acc: 97.6562 loss_bbox: 0.1219 loss_mask: 0.2053 loss: 0.4264 2022/08/26 17:26:31 - mmengine - INFO - Epoch(train) [88][25/125] lr: 8.0000e-03 eta: 1:04:08 time: 0.3832 data_time: 0.1081 memory: 6662 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0100 loss_cls: 0.0873 acc: 96.4600 loss_bbox: 0.1401 loss_mask: 0.2029 loss: 0.4472 2022/08/26 17:26:32 - mmengine - INFO - Epoch(train) [88][30/125] lr: 8.0000e-03 eta: 1:04:03 time: 0.3426 data_time: 0.0666 memory: 6204 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0112 loss_cls: 0.0911 acc: 97.2900 loss_bbox: 0.1437 loss_mask: 0.2033 loss: 0.4565 2022/08/26 17:26:34 - mmengine - INFO - Epoch(train) [88][35/125] lr: 8.0000e-03 eta: 1:04:03 time: 0.3381 data_time: 0.0721 memory: 6169 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0100 loss_cls: 0.0739 acc: 97.2412 loss_bbox: 0.1021 loss_mask: 0.2062 loss: 0.3991 2022/08/26 17:26:36 - mmengine - INFO - Epoch(train) [88][40/125] lr: 8.0000e-03 eta: 1:03:59 time: 0.4031 data_time: 0.1008 memory: 7632 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0112 loss_cls: 0.0780 acc: 97.4609 loss_bbox: 0.1166 loss_mask: 0.2062 loss: 0.4201 2022/08/26 17:26:38 - mmengine - INFO - Epoch(train) [88][45/125] lr: 8.0000e-03 eta: 1:03:59 time: 0.4325 data_time: 0.1162 memory: 6587 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0105 loss_cls: 0.0981 acc: 95.6543 loss_bbox: 0.1364 loss_mask: 0.2204 loss: 0.4754 2022/08/26 17:26:41 - mmengine - INFO - Epoch(train) [88][50/125] lr: 8.0000e-03 eta: 1:03:55 time: 0.4352 data_time: 0.1262 memory: 7462 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0112 loss_cls: 0.0992 acc: 97.4121 loss_bbox: 0.1349 loss_mask: 0.2150 loss: 0.4691 2022/08/26 17:26:42 - mmengine - INFO - Epoch(train) [88][55/125] lr: 8.0000e-03 eta: 1:03:55 time: 0.4088 data_time: 0.1066 memory: 6571 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0154 loss_cls: 0.0914 acc: 97.2168 loss_bbox: 0.1426 loss_mask: 0.2046 loss: 0.4648 2022/08/26 17:26:44 - mmengine - INFO - Epoch(train) [88][60/125] lr: 8.0000e-03 eta: 1:03:50 time: 0.3475 data_time: 0.0708 memory: 6558 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0146 loss_cls: 0.0993 acc: 95.8740 loss_bbox: 0.1434 loss_mask: 0.2109 loss: 0.4820 2022/08/26 17:26:46 - mmengine - INFO - Epoch(train) [88][65/125] lr: 8.0000e-03 eta: 1:03:50 time: 0.3974 data_time: 0.1158 memory: 6251 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0108 loss_cls: 0.0980 acc: 96.7773 loss_bbox: 0.1330 loss_mask: 0.2105 loss: 0.4629 2022/08/26 17:26:48 - mmengine - INFO - Epoch(train) [88][70/125] lr: 8.0000e-03 eta: 1:03:45 time: 0.3936 data_time: 0.1067 memory: 6356 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0084 loss_cls: 0.0902 acc: 95.5078 loss_bbox: 0.1217 loss_mask: 0.2244 loss: 0.4528 2022/08/26 17:26:51 - mmengine - INFO - Epoch(train) [88][75/125] lr: 8.0000e-03 eta: 1:03:45 time: 0.5080 data_time: 0.2264 memory: 6084 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0108 loss_cls: 0.0862 acc: 96.1670 loss_bbox: 0.1193 loss_mask: 0.2343 loss: 0.4599 2022/08/26 17:26:54 - mmengine - INFO - Epoch(train) [88][80/125] lr: 8.0000e-03 eta: 1:03:42 time: 0.5478 data_time: 0.2794 memory: 6313 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0107 loss_cls: 0.0769 acc: 97.4121 loss_bbox: 0.1050 loss_mask: 0.2140 loss: 0.4162 2022/08/26 17:26:56 - mmengine - INFO - Epoch(train) [88][85/125] lr: 8.0000e-03 eta: 1:03:42 time: 0.4362 data_time: 0.1689 memory: 6698 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0106 loss_cls: 0.0810 acc: 96.5332 loss_bbox: 0.1083 loss_mask: 0.1964 loss: 0.4057 2022/08/26 17:26:58 - mmengine - INFO - Epoch(train) [88][90/125] lr: 8.0000e-03 eta: 1:03:38 time: 0.4247 data_time: 0.1479 memory: 6124 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0124 loss_cls: 0.0789 acc: 97.3389 loss_bbox: 0.1123 loss_mask: 0.1966 loss: 0.4099 2022/08/26 17:26:59 - mmengine - INFO - Epoch(train) [88][95/125] lr: 8.0000e-03 eta: 1:03:38 time: 0.3493 data_time: 0.0758 memory: 6431 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0104 loss_cls: 0.0743 acc: 96.0449 loss_bbox: 0.1107 loss_mask: 0.1928 loss: 0.3996 2022/08/26 17:27:02 - mmengine - INFO - Epoch(train) [88][100/125] lr: 8.0000e-03 eta: 1:03:34 time: 0.4489 data_time: 0.1542 memory: 7915 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0113 loss_cls: 0.0965 acc: 95.1172 loss_bbox: 0.1433 loss_mask: 0.2095 loss: 0.4731 2022/08/26 17:27:04 - mmengine - INFO - Epoch(train) [88][105/125] lr: 8.0000e-03 eta: 1:03:34 time: 0.4909 data_time: 0.1918 memory: 6538 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0122 loss_cls: 0.0988 acc: 97.9004 loss_bbox: 0.1480 loss_mask: 0.2197 loss: 0.4895 2022/08/26 17:27:06 - mmengine - INFO - Epoch(train) [88][110/125] lr: 8.0000e-03 eta: 1:03:29 time: 0.3632 data_time: 0.0880 memory: 6369 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0121 loss_cls: 0.0854 acc: 97.5098 loss_bbox: 0.1177 loss_mask: 0.2119 loss: 0.4378 2022/08/26 17:27:08 - mmengine - INFO - Epoch(train) [88][115/125] lr: 8.0000e-03 eta: 1:03:29 time: 0.3460 data_time: 0.0651 memory: 6525 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0143 loss_cls: 0.0845 acc: 96.4844 loss_bbox: 0.1185 loss_mask: 0.2017 loss: 0.4287 2022/08/26 17:27:09 - mmengine - INFO - Epoch(train) [88][120/125] lr: 8.0000e-03 eta: 1:03:24 time: 0.3459 data_time: 0.0679 memory: 6360 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0117 loss_cls: 0.0762 acc: 96.8750 loss_bbox: 0.1182 loss_mask: 0.1921 loss: 0.4045 2022/08/26 17:27:11 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:27:11 - mmengine - INFO - Epoch(train) [88][125/125] lr: 8.0000e-03 eta: 1:03:24 time: 0.3302 data_time: 0.0573 memory: 6502 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0113 loss_cls: 0.0904 acc: 97.2900 loss_bbox: 0.1294 loss_mask: 0.2080 loss: 0.4482 2022/08/26 17:27:14 - mmengine - INFO - Epoch(train) [89][5/125] lr: 8.0000e-03 eta: 1:03:24 time: 0.4657 data_time: 0.1917 memory: 6347 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0111 loss_cls: 0.0925 acc: 96.7285 loss_bbox: 0.1273 loss_mask: 0.2146 loss: 0.4545 2022/08/26 17:27:17 - mmengine - INFO - Epoch(train) [89][10/125] lr: 8.0000e-03 eta: 1:03:18 time: 0.6260 data_time: 0.2460 memory: 6587 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0092 loss_cls: 0.0788 acc: 96.7529 loss_bbox: 0.1152 loss_mask: 0.1991 loss: 0.4074 2022/08/26 17:27:19 - mmengine - INFO - Epoch(train) [89][15/125] lr: 8.0000e-03 eta: 1:03:18 time: 0.5187 data_time: 0.1303 memory: 6317 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0111 loss_cls: 0.0826 acc: 94.9951 loss_bbox: 0.1194 loss_mask: 0.1987 loss: 0.4195 2022/08/26 17:27:21 - mmengine - INFO - Epoch(train) [89][20/125] lr: 8.0000e-03 eta: 1:03:13 time: 0.3711 data_time: 0.0941 memory: 6235 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0086 loss_cls: 0.0786 acc: 96.5332 loss_bbox: 0.1038 loss_mask: 0.2086 loss: 0.4080 2022/08/26 17:27:23 - mmengine - INFO - Epoch(train) [89][25/125] lr: 8.0000e-03 eta: 1:03:13 time: 0.3662 data_time: 0.0656 memory: 6629 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0095 loss_cls: 0.0763 acc: 95.6055 loss_bbox: 0.1127 loss_mask: 0.2083 loss: 0.4133 2022/08/26 17:27:25 - mmengine - INFO - Epoch(train) [89][30/125] lr: 8.0000e-03 eta: 1:03:09 time: 0.3799 data_time: 0.0781 memory: 6486 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0130 loss_cls: 0.0814 acc: 97.4121 loss_bbox: 0.1257 loss_mask: 0.2045 loss: 0.4320 2022/08/26 17:27:27 - mmengine - INFO - Epoch(train) [89][35/125] lr: 8.0000e-03 eta: 1:03:09 time: 0.3704 data_time: 0.0964 memory: 6499 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0110 loss_cls: 0.0832 acc: 95.9473 loss_bbox: 0.1187 loss_mask: 0.1990 loss: 0.4212 2022/08/26 17:27:29 - mmengine - INFO - Epoch(train) [89][40/125] lr: 8.0000e-03 eta: 1:03:04 time: 0.3927 data_time: 0.1134 memory: 6574 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0119 loss_cls: 0.0936 acc: 97.3633 loss_bbox: 0.1352 loss_mask: 0.2052 loss: 0.4545 2022/08/26 17:27:30 - mmengine - INFO - Epoch(train) [89][45/125] lr: 8.0000e-03 eta: 1:03:04 time: 0.3534 data_time: 0.0791 memory: 6546 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0131 loss_cls: 0.0944 acc: 96.6064 loss_bbox: 0.1354 loss_mask: 0.2104 loss: 0.4621 2022/08/26 17:27:32 - mmengine - INFO - Epoch(train) [89][50/125] lr: 8.0000e-03 eta: 1:02:59 time: 0.3144 data_time: 0.0410 memory: 6665 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0110 loss_cls: 0.0862 acc: 96.1670 loss_bbox: 0.1361 loss_mask: 0.2081 loss: 0.4521 2022/08/26 17:27:34 - mmengine - INFO - Epoch(train) [89][55/125] lr: 8.0000e-03 eta: 1:02:59 time: 0.3263 data_time: 0.0532 memory: 6728 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0104 loss_cls: 0.0876 acc: 96.7773 loss_bbox: 0.1415 loss_mask: 0.2065 loss: 0.4558 2022/08/26 17:27:35 - mmengine - INFO - Epoch(train) [89][60/125] lr: 8.0000e-03 eta: 1:02:54 time: 0.3296 data_time: 0.0588 memory: 6623 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0114 loss_cls: 0.0888 acc: 96.6553 loss_bbox: 0.1292 loss_mask: 0.2088 loss: 0.4462 2022/08/26 17:27:38 - mmengine - INFO - Epoch(train) [89][65/125] lr: 8.0000e-03 eta: 1:02:54 time: 0.4755 data_time: 0.1795 memory: 6675 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0137 loss_cls: 0.0980 acc: 96.6064 loss_bbox: 0.1420 loss_mask: 0.2155 loss: 0.4772 2022/08/26 17:27:41 - mmengine - INFO - Epoch(train) [89][70/125] lr: 8.0000e-03 eta: 1:02:51 time: 0.5842 data_time: 0.2856 memory: 6496 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0152 loss_cls: 0.1033 acc: 95.7275 loss_bbox: 0.1520 loss_mask: 0.2134 loss: 0.4919 2022/08/26 17:27:43 - mmengine - INFO - Epoch(train) [89][75/125] lr: 8.0000e-03 eta: 1:02:51 time: 0.4397 data_time: 0.1593 memory: 6412 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0154 loss_cls: 0.0929 acc: 96.7285 loss_bbox: 0.1437 loss_mask: 0.2025 loss: 0.4627 2022/08/26 17:27:44 - mmengine - INFO - Epoch(train) [89][80/125] lr: 8.0000e-03 eta: 1:02:46 time: 0.3207 data_time: 0.0488 memory: 5937 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0102 loss_cls: 0.0768 acc: 97.9004 loss_bbox: 0.1125 loss_mask: 0.2055 loss: 0.4124 2022/08/26 17:27:47 - mmengine - INFO - Epoch(train) [89][85/125] lr: 8.0000e-03 eta: 1:02:46 time: 0.4299 data_time: 0.1623 memory: 6160 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0077 loss_cls: 0.0798 acc: 96.4111 loss_bbox: 0.1028 loss_mask: 0.2098 loss: 0.4068 2022/08/26 17:27:49 - mmengine - INFO - Epoch(train) [89][90/125] lr: 8.0000e-03 eta: 1:02:42 time: 0.4553 data_time: 0.1704 memory: 6288 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0113 loss_cls: 0.0856 acc: 96.6797 loss_bbox: 0.1197 loss_mask: 0.2127 loss: 0.4388 2022/08/26 17:27:51 - mmengine - INFO - Epoch(train) [89][95/125] lr: 8.0000e-03 eta: 1:02:42 time: 0.4030 data_time: 0.0847 memory: 6333 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0147 loss_cls: 0.0901 acc: 95.4346 loss_bbox: 0.1306 loss_mask: 0.2179 loss: 0.4645 2022/08/26 17:27:53 - mmengine - INFO - Epoch(train) [89][100/125] lr: 8.0000e-03 eta: 1:02:38 time: 0.4041 data_time: 0.0975 memory: 6441 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0157 loss_cls: 0.0949 acc: 94.9219 loss_bbox: 0.1292 loss_mask: 0.2148 loss: 0.4667 2022/08/26 17:27:55 - mmengine - INFO - Epoch(train) [89][105/125] lr: 8.0000e-03 eta: 1:02:38 time: 0.3519 data_time: 0.0829 memory: 6251 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0105 loss_cls: 0.0803 acc: 98.1934 loss_bbox: 0.1145 loss_mask: 0.2106 loss: 0.4263 2022/08/26 17:27:57 - mmengine - INFO - Epoch(train) [89][110/125] lr: 8.0000e-03 eta: 1:02:34 time: 0.4402 data_time: 0.0997 memory: 6523 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0078 loss_cls: 0.0764 acc: 96.3623 loss_bbox: 0.1184 loss_mask: 0.2018 loss: 0.4141 2022/08/26 17:27:59 - mmengine - INFO - Epoch(train) [89][115/125] lr: 8.0000e-03 eta: 1:02:34 time: 0.4581 data_time: 0.1171 memory: 6101 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0082 loss_cls: 0.0785 acc: 97.2900 loss_bbox: 0.1160 loss_mask: 0.1979 loss: 0.4093 2022/08/26 17:28:01 - mmengine - INFO - Epoch(train) [89][120/125] lr: 8.0000e-03 eta: 1:02:29 time: 0.3477 data_time: 0.0814 memory: 6372 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0109 loss_cls: 0.0770 acc: 96.2402 loss_bbox: 0.1126 loss_mask: 0.2019 loss: 0.4092 2022/08/26 17:28:03 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:28:03 - mmengine - INFO - Epoch(train) [89][125/125] lr: 8.0000e-03 eta: 1:02:29 time: 0.3694 data_time: 0.1018 memory: 6564 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0117 loss_cls: 0.0805 acc: 95.4590 loss_bbox: 0.1211 loss_mask: 0.2077 loss: 0.4286 2022/08/26 17:28:06 - mmengine - INFO - Epoch(train) [90][5/125] lr: 8.0000e-03 eta: 1:02:29 time: 0.4650 data_time: 0.1938 memory: 6545 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0088 loss_cls: 0.0728 acc: 98.3887 loss_bbox: 0.1141 loss_mask: 0.2068 loss: 0.4089 2022/08/26 17:28:08 - mmengine - INFO - Epoch(train) [90][10/125] lr: 8.0000e-03 eta: 1:02:22 time: 0.4703 data_time: 0.1572 memory: 6287 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0081 loss_cls: 0.0770 acc: 95.7275 loss_bbox: 0.1164 loss_mask: 0.2065 loss: 0.4140 2022/08/26 17:28:09 - mmengine - INFO - Epoch(train) [90][15/125] lr: 8.0000e-03 eta: 1:02:22 time: 0.3937 data_time: 0.0807 memory: 6422 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0102 loss_cls: 0.0884 acc: 95.9961 loss_bbox: 0.1283 loss_mask: 0.2034 loss: 0.4384 2022/08/26 17:28:11 - mmengine - INFO - Epoch(train) [90][20/125] lr: 8.0000e-03 eta: 1:02:17 time: 0.3460 data_time: 0.0794 memory: 6275 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0104 loss_cls: 0.0783 acc: 99.0967 loss_bbox: 0.1112 loss_mask: 0.1941 loss: 0.4043 2022/08/26 17:28:13 - mmengine - INFO - Epoch(train) [90][25/125] lr: 8.0000e-03 eta: 1:02:17 time: 0.3458 data_time: 0.0817 memory: 6436 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0092 loss_cls: 0.0746 acc: 95.6543 loss_bbox: 0.1073 loss_mask: 0.1945 loss: 0.3946 2022/08/26 17:28:15 - mmengine - INFO - Epoch(train) [90][30/125] lr: 8.0000e-03 eta: 1:02:12 time: 0.3812 data_time: 0.1130 memory: 6423 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0126 loss_cls: 0.0818 acc: 96.5576 loss_bbox: 0.1203 loss_mask: 0.2004 loss: 0.4219 2022/08/26 17:28:18 - mmengine - INFO - Epoch(train) [90][35/125] lr: 8.0000e-03 eta: 1:02:12 time: 0.5103 data_time: 0.1781 memory: 6375 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0157 loss_cls: 0.0965 acc: 95.2393 loss_bbox: 0.1389 loss_mask: 0.2090 loss: 0.4682 2022/08/26 17:28:20 - mmengine - INFO - Epoch(train) [90][40/125] lr: 8.0000e-03 eta: 1:02:09 time: 0.5029 data_time: 0.1692 memory: 6545 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0123 loss_cls: 0.1012 acc: 97.2412 loss_bbox: 0.1457 loss_mask: 0.2157 loss: 0.4842 2022/08/26 17:28:22 - mmengine - INFO - Epoch(train) [90][45/125] lr: 8.0000e-03 eta: 1:02:09 time: 0.3615 data_time: 0.0901 memory: 6646 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0100 loss_cls: 0.0892 acc: 97.2412 loss_bbox: 0.1351 loss_mask: 0.2189 loss: 0.4624 2022/08/26 17:28:24 - mmengine - INFO - Epoch(train) [90][50/125] lr: 8.0000e-03 eta: 1:02:04 time: 0.3672 data_time: 0.0847 memory: 6836 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0127 loss_cls: 0.0888 acc: 95.0439 loss_bbox: 0.1461 loss_mask: 0.2231 loss: 0.4804 2022/08/26 17:28:25 - mmengine - INFO - Epoch(train) [90][55/125] lr: 8.0000e-03 eta: 1:02:04 time: 0.3619 data_time: 0.0795 memory: 6130 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0128 loss_cls: 0.0866 acc: 97.5098 loss_bbox: 0.1325 loss_mask: 0.2097 loss: 0.4527 2022/08/26 17:28:27 - mmengine - INFO - Epoch(train) [90][60/125] lr: 8.0000e-03 eta: 1:01:59 time: 0.3406 data_time: 0.0741 memory: 6588 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0104 loss_cls: 0.0795 acc: 97.0703 loss_bbox: 0.1090 loss_mask: 0.2115 loss: 0.4205 2022/08/26 17:28:29 - mmengine - INFO - Epoch(train) [90][65/125] lr: 8.0000e-03 eta: 1:01:59 time: 0.3546 data_time: 0.0807 memory: 6483 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0096 loss_cls: 0.0855 acc: 97.2412 loss_bbox: 0.1239 loss_mask: 0.2128 loss: 0.4400 2022/08/26 17:28:31 - mmengine - INFO - Epoch(train) [90][70/125] lr: 8.0000e-03 eta: 1:01:54 time: 0.3644 data_time: 0.0864 memory: 6147 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0094 loss_cls: 0.0826 acc: 97.5342 loss_bbox: 0.1230 loss_mask: 0.1970 loss: 0.4212 2022/08/26 17:28:32 - mmengine - INFO - Epoch(train) [90][75/125] lr: 8.0000e-03 eta: 1:01:54 time: 0.3576 data_time: 0.0872 memory: 6461 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0093 loss_cls: 0.0820 acc: 96.5576 loss_bbox: 0.1172 loss_mask: 0.2067 loss: 0.4240 2022/08/26 17:28:35 - mmengine - INFO - Epoch(train) [90][80/125] lr: 8.0000e-03 eta: 1:01:50 time: 0.4332 data_time: 0.1457 memory: 6444 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0104 loss_cls: 0.0906 acc: 97.2412 loss_bbox: 0.1323 loss_mask: 0.2178 loss: 0.4603 2022/08/26 17:28:37 - mmengine - INFO - Epoch(train) [90][85/125] lr: 8.0000e-03 eta: 1:01:50 time: 0.4395 data_time: 0.1483 memory: 6343 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0131 loss_cls: 0.0863 acc: 97.4365 loss_bbox: 0.1286 loss_mask: 0.2115 loss: 0.4490 2022/08/26 17:28:38 - mmengine - INFO - Epoch(train) [90][90/125] lr: 8.0000e-03 eta: 1:01:45 time: 0.3361 data_time: 0.0594 memory: 6235 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0133 loss_cls: 0.0796 acc: 96.2646 loss_bbox: 0.1152 loss_mask: 0.1990 loss: 0.4146 2022/08/26 17:28:41 - mmengine - INFO - Epoch(train) [90][95/125] lr: 8.0000e-03 eta: 1:01:45 time: 0.3898 data_time: 0.1164 memory: 6372 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0096 loss_cls: 0.0882 acc: 95.3613 loss_bbox: 0.1270 loss_mask: 0.2052 loss: 0.4366 2022/08/26 17:28:43 - mmengine - INFO - Epoch(train) [90][100/125] lr: 8.0000e-03 eta: 1:01:41 time: 0.4624 data_time: 0.1897 memory: 6601 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0092 loss_cls: 0.1004 acc: 96.4844 loss_bbox: 0.1397 loss_mask: 0.2219 loss: 0.4796 2022/08/26 17:28:45 - mmengine - INFO - Epoch(train) [90][105/125] lr: 8.0000e-03 eta: 1:01:41 time: 0.4374 data_time: 0.1651 memory: 6036 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0085 loss_cls: 0.0898 acc: 96.0938 loss_bbox: 0.1165 loss_mask: 0.2154 loss: 0.4392 2022/08/26 17:28:49 - mmengine - INFO - Epoch(train) [90][110/125] lr: 8.0000e-03 eta: 1:01:39 time: 0.5976 data_time: 0.2707 memory: 6584 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0079 loss_cls: 0.0773 acc: 95.4346 loss_bbox: 0.1081 loss_mask: 0.2009 loss: 0.4022 2022/08/26 17:28:51 - mmengine - INFO - Epoch(train) [90][115/125] lr: 8.0000e-03 eta: 1:01:39 time: 0.5781 data_time: 0.2472 memory: 6901 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0103 loss_cls: 0.0880 acc: 96.9482 loss_bbox: 0.1273 loss_mask: 0.2007 loss: 0.4345 2022/08/26 17:28:53 - mmengine - INFO - Epoch(train) [90][120/125] lr: 8.0000e-03 eta: 1:01:34 time: 0.3676 data_time: 0.0927 memory: 6519 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0118 loss_cls: 0.0929 acc: 94.9951 loss_bbox: 0.1329 loss_mask: 0.2045 loss: 0.4504 2022/08/26 17:28:54 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:28:54 - mmengine - INFO - Epoch(train) [90][125/125] lr: 8.0000e-03 eta: 1:01:34 time: 0.3235 data_time: 0.0559 memory: 6173 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0095 loss_cls: 0.0823 acc: 97.1680 loss_bbox: 0.1206 loss_mask: 0.2088 loss: 0.4280 2022/08/26 17:28:58 - mmengine - INFO - Epoch(train) [91][5/125] lr: 8.0000e-03 eta: 1:01:34 time: 0.4818 data_time: 0.2062 memory: 6496 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0091 loss_cls: 0.0802 acc: 97.4609 loss_bbox: 0.1161 loss_mask: 0.2049 loss: 0.4173 2022/08/26 17:28:59 - mmengine - INFO - Epoch(train) [91][10/125] lr: 8.0000e-03 eta: 1:01:27 time: 0.5296 data_time: 0.2267 memory: 6476 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0113 loss_cls: 0.0841 acc: 96.8750 loss_bbox: 0.1279 loss_mask: 0.1992 loss: 0.4307 2022/08/26 17:29:01 - mmengine - INFO - Epoch(train) [91][15/125] lr: 8.0000e-03 eta: 1:01:27 time: 0.3810 data_time: 0.0773 memory: 6314 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0105 loss_cls: 0.0864 acc: 95.9961 loss_bbox: 0.1286 loss_mask: 0.1974 loss: 0.4319 2022/08/26 17:29:03 - mmengine - INFO - Epoch(train) [91][20/125] lr: 8.0000e-03 eta: 1:01:22 time: 0.3771 data_time: 0.0987 memory: 6646 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0125 loss_cls: 0.0808 acc: 96.3135 loss_bbox: 0.1189 loss_mask: 0.1943 loss: 0.4172 2022/08/26 17:29:05 - mmengine - INFO - Epoch(train) [91][25/125] lr: 8.0000e-03 eta: 1:01:22 time: 0.3662 data_time: 0.0925 memory: 6343 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0125 loss_cls: 0.0844 acc: 96.4111 loss_bbox: 0.1231 loss_mask: 0.1954 loss: 0.4233 2022/08/26 17:29:07 - mmengine - INFO - Epoch(train) [91][30/125] lr: 8.0000e-03 eta: 1:01:17 time: 0.3485 data_time: 0.0728 memory: 6551 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0122 loss_cls: 0.0857 acc: 97.0215 loss_bbox: 0.1179 loss_mask: 0.1950 loss: 0.4160 2022/08/26 17:29:09 - mmengine - INFO - Epoch(train) [91][35/125] lr: 8.0000e-03 eta: 1:01:17 time: 0.3714 data_time: 0.0970 memory: 6356 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0126 loss_cls: 0.0798 acc: 96.1182 loss_bbox: 0.1132 loss_mask: 0.1967 loss: 0.4075 2022/08/26 17:29:11 - mmengine - INFO - Epoch(train) [91][40/125] lr: 8.0000e-03 eta: 1:01:13 time: 0.4146 data_time: 0.1153 memory: 7569 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0125 loss_cls: 0.0916 acc: 94.2871 loss_bbox: 0.1299 loss_mask: 0.2066 loss: 0.4468 2022/08/26 17:29:13 - mmengine - INFO - Epoch(train) [91][45/125] lr: 8.0000e-03 eta: 1:01:13 time: 0.3898 data_time: 0.0894 memory: 6489 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0120 loss_cls: 0.0930 acc: 97.2412 loss_bbox: 0.1256 loss_mask: 0.2107 loss: 0.4498 2022/08/26 17:29:15 - mmengine - INFO - Epoch(train) [91][50/125] lr: 8.0000e-03 eta: 1:01:09 time: 0.3789 data_time: 0.1026 memory: 6741 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0096 loss_cls: 0.0870 acc: 97.5098 loss_bbox: 0.1227 loss_mask: 0.2101 loss: 0.4360 2022/08/26 17:29:16 - mmengine - INFO - Epoch(train) [91][55/125] lr: 8.0000e-03 eta: 1:01:09 time: 0.3749 data_time: 0.0972 memory: 6288 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0107 loss_cls: 0.0904 acc: 97.0215 loss_bbox: 0.1305 loss_mask: 0.2127 loss: 0.4493 2022/08/26 17:29:19 - mmengine - INFO - Epoch(train) [91][60/125] lr: 8.0000e-03 eta: 1:01:04 time: 0.4105 data_time: 0.0993 memory: 6451 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0123 loss_cls: 0.0898 acc: 97.8760 loss_bbox: 0.1288 loss_mask: 0.2091 loss: 0.4466 2022/08/26 17:29:20 - mmengine - INFO - Epoch(train) [91][65/125] lr: 8.0000e-03 eta: 1:01:04 time: 0.3972 data_time: 0.0928 memory: 6353 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0112 loss_cls: 0.0873 acc: 96.3135 loss_bbox: 0.1253 loss_mask: 0.2045 loss: 0.4369 2022/08/26 17:29:22 - mmengine - INFO - Epoch(train) [91][70/125] lr: 8.0000e-03 eta: 1:01:00 time: 0.3570 data_time: 0.0815 memory: 6705 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0114 loss_cls: 0.0785 acc: 97.8027 loss_bbox: 0.1138 loss_mask: 0.1935 loss: 0.4071 2022/08/26 17:29:24 - mmengine - INFO - Epoch(train) [91][75/125] lr: 8.0000e-03 eta: 1:01:00 time: 0.4118 data_time: 0.1112 memory: 7665 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0125 loss_cls: 0.0810 acc: 97.2656 loss_bbox: 0.1253 loss_mask: 0.1894 loss: 0.4163 2022/08/26 17:29:27 - mmengine - INFO - Epoch(train) [91][80/125] lr: 8.0000e-03 eta: 1:00:56 time: 0.4423 data_time: 0.1358 memory: 6483 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0112 loss_cls: 0.0859 acc: 97.5830 loss_bbox: 0.1260 loss_mask: 0.1974 loss: 0.4286 2022/08/26 17:29:28 - mmengine - INFO - Epoch(train) [91][85/125] lr: 8.0000e-03 eta: 1:00:56 time: 0.3951 data_time: 0.1128 memory: 6571 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0102 loss_cls: 0.0821 acc: 96.6553 loss_bbox: 0.1157 loss_mask: 0.2113 loss: 0.4274 2022/08/26 17:29:30 - mmengine - INFO - Epoch(train) [91][90/125] lr: 8.0000e-03 eta: 1:00:51 time: 0.3430 data_time: 0.0726 memory: 6734 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0104 loss_cls: 0.0834 acc: 96.0938 loss_bbox: 0.1233 loss_mask: 0.2126 loss: 0.4370 2022/08/26 17:29:32 - mmengine - INFO - Epoch(train) [91][95/125] lr: 8.0000e-03 eta: 1:00:51 time: 0.3475 data_time: 0.0781 memory: 6353 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0106 loss_cls: 0.0883 acc: 95.1416 loss_bbox: 0.1223 loss_mask: 0.1991 loss: 0.4277 2022/08/26 17:29:34 - mmengine - INFO - Epoch(train) [91][100/125] lr: 8.0000e-03 eta: 1:00:46 time: 0.3461 data_time: 0.0774 memory: 6784 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0105 loss_cls: 0.0924 acc: 97.1924 loss_bbox: 0.1292 loss_mask: 0.2092 loss: 0.4509 2022/08/26 17:29:35 - mmengine - INFO - Epoch(train) [91][105/125] lr: 8.0000e-03 eta: 1:00:46 time: 0.3619 data_time: 0.0873 memory: 6252 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0133 loss_cls: 0.0924 acc: 93.9453 loss_bbox: 0.1308 loss_mask: 0.2133 loss: 0.4613 2022/08/26 17:29:39 - mmengine - INFO - Epoch(train) [91][110/125] lr: 8.0000e-03 eta: 1:00:42 time: 0.5182 data_time: 0.1453 memory: 6531 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0126 loss_cls: 0.0819 acc: 97.8516 loss_bbox: 0.1167 loss_mask: 0.1989 loss: 0.4187 2022/08/26 17:29:40 - mmengine - INFO - Epoch(train) [91][115/125] lr: 8.0000e-03 eta: 1:00:42 time: 0.4950 data_time: 0.1302 memory: 6473 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0090 loss_cls: 0.0653 acc: 98.4619 loss_bbox: 0.1001 loss_mask: 0.1916 loss: 0.3738 2022/08/26 17:29:42 - mmengine - INFO - Epoch(train) [91][120/125] lr: 8.0000e-03 eta: 1:00:38 time: 0.3231 data_time: 0.0617 memory: 6252 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0080 loss_cls: 0.0634 acc: 96.8750 loss_bbox: 0.0917 loss_mask: 0.1895 loss: 0.3599 2022/08/26 17:29:44 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:29:44 - mmengine - INFO - Epoch(train) [91][125/125] lr: 8.0000e-03 eta: 1:00:38 time: 0.3219 data_time: 0.0492 memory: 6075 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0074 loss_cls: 0.0724 acc: 96.4844 loss_bbox: 0.0981 loss_mask: 0.2015 loss: 0.3854 2022/08/26 17:29:47 - mmengine - INFO - Epoch(train) [92][5/125] lr: 8.0000e-03 eta: 1:00:38 time: 0.4823 data_time: 0.2056 memory: 6370 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0076 loss_cls: 0.0770 acc: 97.3633 loss_bbox: 0.1075 loss_mask: 0.2147 loss: 0.4144 2022/08/26 17:29:49 - mmengine - INFO - Epoch(train) [92][10/125] lr: 8.0000e-03 eta: 1:00:31 time: 0.5637 data_time: 0.2899 memory: 6574 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0080 loss_cls: 0.0818 acc: 95.8252 loss_bbox: 0.1178 loss_mask: 0.2009 loss: 0.4155 2022/08/26 17:29:51 - mmengine - INFO - Epoch(train) [92][15/125] lr: 8.0000e-03 eta: 1:00:31 time: 0.4093 data_time: 0.1321 memory: 6369 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0092 loss_cls: 0.0838 acc: 95.4590 loss_bbox: 0.1210 loss_mask: 0.1931 loss: 0.4131 2022/08/26 17:29:54 - mmengine - INFO - Epoch(train) [92][20/125] lr: 8.0000e-03 eta: 1:00:26 time: 0.4234 data_time: 0.1522 memory: 6222 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0110 loss_cls: 0.0752 acc: 97.3389 loss_bbox: 0.1091 loss_mask: 0.2021 loss: 0.4042 2022/08/26 17:29:55 - mmengine - INFO - Epoch(train) [92][25/125] lr: 8.0000e-03 eta: 1:00:26 time: 0.4326 data_time: 0.1637 memory: 6790 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0131 loss_cls: 0.0823 acc: 97.5098 loss_bbox: 0.1171 loss_mask: 0.2050 loss: 0.4266 2022/08/26 17:29:59 - mmengine - INFO - Epoch(train) [92][30/125] lr: 8.0000e-03 eta: 1:00:23 time: 0.4999 data_time: 0.1976 memory: 6505 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0142 loss_cls: 0.0974 acc: 95.7764 loss_bbox: 0.1431 loss_mask: 0.2186 loss: 0.4851 2022/08/26 17:30:01 - mmengine - INFO - Epoch(train) [92][35/125] lr: 8.0000e-03 eta: 1:00:23 time: 0.5215 data_time: 0.2130 memory: 6459 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0130 loss_cls: 0.0993 acc: 94.9463 loss_bbox: 0.1452 loss_mask: 0.2256 loss: 0.4936 2022/08/26 17:30:02 - mmengine - INFO - Epoch(train) [92][40/125] lr: 8.0000e-03 eta: 1:00:18 time: 0.3756 data_time: 0.1007 memory: 5954 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0101 loss_cls: 0.0829 acc: 96.8994 loss_bbox: 0.1134 loss_mask: 0.2174 loss: 0.4312 2022/08/26 17:30:04 - mmengine - INFO - Epoch(train) [92][45/125] lr: 8.0000e-03 eta: 1:00:18 time: 0.3828 data_time: 0.1084 memory: 6545 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0086 loss_cls: 0.0677 acc: 95.8740 loss_bbox: 0.0989 loss_mask: 0.2067 loss: 0.3887 2022/08/26 17:30:07 - mmengine - INFO - Epoch(train) [92][50/125] lr: 8.0000e-03 eta: 1:00:14 time: 0.4121 data_time: 0.1108 memory: 6151 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0086 loss_cls: 0.0734 acc: 97.9492 loss_bbox: 0.1049 loss_mask: 0.1995 loss: 0.3935 2022/08/26 17:30:08 - mmengine - INFO - Epoch(train) [92][55/125] lr: 8.0000e-03 eta: 1:00:14 time: 0.3981 data_time: 0.1005 memory: 6304 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0085 loss_cls: 0.0782 acc: 97.2900 loss_bbox: 0.1074 loss_mask: 0.1962 loss: 0.3971 2022/08/26 17:30:10 - mmengine - INFO - Epoch(train) [92][60/125] lr: 8.0000e-03 eta: 1:00:10 time: 0.3893 data_time: 0.1136 memory: 6337 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0099 loss_cls: 0.0815 acc: 97.0215 loss_bbox: 0.1201 loss_mask: 0.1946 loss: 0.4132 2022/08/26 17:30:13 - mmengine - INFO - Epoch(train) [92][65/125] lr: 8.0000e-03 eta: 1:00:10 time: 0.4629 data_time: 0.1454 memory: 7656 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0098 loss_cls: 0.0899 acc: 96.8506 loss_bbox: 0.1285 loss_mask: 0.2057 loss: 0.4409 2022/08/26 17:30:15 - mmengine - INFO - Epoch(train) [92][70/125] lr: 8.0000e-03 eta: 1:00:05 time: 0.4385 data_time: 0.1240 memory: 6515 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0094 loss_cls: 0.0910 acc: 97.5830 loss_bbox: 0.1249 loss_mask: 0.2032 loss: 0.4352 2022/08/26 17:30:17 - mmengine - INFO - Epoch(train) [92][75/125] lr: 8.0000e-03 eta: 1:00:05 time: 0.3669 data_time: 0.0959 memory: 6186 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0089 loss_cls: 0.0865 acc: 96.9238 loss_bbox: 0.1114 loss_mask: 0.2122 loss: 0.4265 2022/08/26 17:30:18 - mmengine - INFO - Epoch(train) [92][80/125] lr: 8.0000e-03 eta: 1:00:01 time: 0.3686 data_time: 0.0956 memory: 6643 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0119 loss_cls: 0.0940 acc: 95.5566 loss_bbox: 0.1272 loss_mask: 0.2224 loss: 0.4657 2022/08/26 17:30:20 - mmengine - INFO - Epoch(train) [92][85/125] lr: 8.0000e-03 eta: 1:00:01 time: 0.3368 data_time: 0.0641 memory: 6298 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0122 loss_cls: 0.0950 acc: 96.4111 loss_bbox: 0.1351 loss_mask: 0.2035 loss: 0.4554 2022/08/26 17:30:22 - mmengine - INFO - Epoch(train) [92][90/125] lr: 8.0000e-03 eta: 0:59:56 time: 0.3571 data_time: 0.0889 memory: 6405 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0088 loss_cls: 0.0769 acc: 97.1436 loss_bbox: 0.1141 loss_mask: 0.1866 loss: 0.3921 2022/08/26 17:30:24 - mmengine - INFO - Epoch(train) [92][95/125] lr: 8.0000e-03 eta: 0:59:56 time: 0.3959 data_time: 0.1272 memory: 6343 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0140 loss_cls: 0.0774 acc: 96.3135 loss_bbox: 0.1207 loss_mask: 0.1938 loss: 0.4132 2022/08/26 17:30:28 - mmengine - INFO - Epoch(train) [92][100/125] lr: 8.0000e-03 eta: 0:59:54 time: 0.6396 data_time: 0.2365 memory: 6379 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0149 loss_cls: 0.0938 acc: 96.7041 loss_bbox: 0.1410 loss_mask: 0.2074 loss: 0.4652 2022/08/26 17:30:30 - mmengine - INFO - Epoch(train) [92][105/125] lr: 8.0000e-03 eta: 0:59:54 time: 0.6017 data_time: 0.1902 memory: 6531 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0112 loss_cls: 0.0935 acc: 96.2402 loss_bbox: 0.1443 loss_mask: 0.2105 loss: 0.4663 2022/08/26 17:30:32 - mmengine - INFO - Epoch(train) [92][110/125] lr: 8.0000e-03 eta: 0:59:49 time: 0.3603 data_time: 0.0750 memory: 6679 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0142 loss_cls: 0.1002 acc: 94.0674 loss_bbox: 0.1493 loss_mask: 0.2148 loss: 0.4880 2022/08/26 17:30:34 - mmengine - INFO - Epoch(train) [92][115/125] lr: 8.0000e-03 eta: 0:59:49 time: 0.4076 data_time: 0.1304 memory: 6571 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0139 loss_cls: 0.1004 acc: 96.4111 loss_bbox: 0.1440 loss_mask: 0.2006 loss: 0.4691 2022/08/26 17:30:36 - mmengine - INFO - Epoch(train) [92][120/125] lr: 8.0000e-03 eta: 0:59:45 time: 0.4035 data_time: 0.1322 memory: 6619 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0100 loss_cls: 0.0839 acc: 95.8984 loss_bbox: 0.1217 loss_mask: 0.1836 loss: 0.4060 2022/08/26 17:30:38 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:30:38 - mmengine - INFO - Epoch(train) [92][125/125] lr: 8.0000e-03 eta: 0:59:45 time: 0.3483 data_time: 0.0825 memory: 6202 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0091 loss_cls: 0.0786 acc: 96.9971 loss_bbox: 0.1081 loss_mask: 0.2014 loss: 0.4066 2022/08/26 17:30:42 - mmengine - INFO - Epoch(train) [93][5/125] lr: 8.0000e-03 eta: 0:59:45 time: 0.5565 data_time: 0.2828 memory: 6930 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0091 loss_cls: 0.0865 acc: 97.4609 loss_bbox: 0.1201 loss_mask: 0.2084 loss: 0.4347 2022/08/26 17:30:43 - mmengine - INFO - Epoch(train) [93][10/125] lr: 8.0000e-03 eta: 0:59:38 time: 0.5560 data_time: 0.2781 memory: 7130 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0115 loss_cls: 0.0972 acc: 97.6074 loss_bbox: 0.1416 loss_mask: 0.1964 loss: 0.4556 2022/08/26 17:30:45 - mmengine - INFO - Epoch(train) [93][15/125] lr: 8.0000e-03 eta: 0:59:38 time: 0.3393 data_time: 0.0638 memory: 6679 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0118 loss_cls: 0.0988 acc: 94.6045 loss_bbox: 0.1486 loss_mask: 0.1977 loss: 0.4653 2022/08/26 17:30:47 - mmengine - INFO - Epoch(train) [93][20/125] lr: 8.0000e-03 eta: 0:59:33 time: 0.4054 data_time: 0.0861 memory: 6538 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0108 loss_cls: 0.0936 acc: 96.7041 loss_bbox: 0.1419 loss_mask: 0.1982 loss: 0.4531 2022/08/26 17:30:49 - mmengine - INFO - Epoch(train) [93][25/125] lr: 8.0000e-03 eta: 0:59:33 time: 0.4045 data_time: 0.0907 memory: 6304 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0097 loss_cls: 0.0871 acc: 95.5566 loss_bbox: 0.1236 loss_mask: 0.2080 loss: 0.4366 2022/08/26 17:30:51 - mmengine - INFO - Epoch(train) [93][30/125] lr: 8.0000e-03 eta: 0:59:29 time: 0.3671 data_time: 0.0789 memory: 6457 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0083 loss_cls: 0.0809 acc: 97.0215 loss_bbox: 0.1189 loss_mask: 0.2193 loss: 0.4330 2022/08/26 17:30:53 - mmengine - INFO - Epoch(train) [93][35/125] lr: 8.0000e-03 eta: 0:59:29 time: 0.3512 data_time: 0.0591 memory: 6470 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0105 loss_cls: 0.0784 acc: 97.0947 loss_bbox: 0.1215 loss_mask: 0.2113 loss: 0.4287 2022/08/26 17:30:54 - mmengine - INFO - Epoch(train) [93][40/125] lr: 8.0000e-03 eta: 0:59:24 time: 0.3335 data_time: 0.0551 memory: 6590 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0109 loss_cls: 0.0842 acc: 96.7285 loss_bbox: 0.1227 loss_mask: 0.1951 loss: 0.4198 2022/08/26 17:30:57 - mmengine - INFO - Epoch(train) [93][45/125] lr: 8.0000e-03 eta: 0:59:24 time: 0.4321 data_time: 0.1540 memory: 6080 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0097 loss_cls: 0.0824 acc: 96.6553 loss_bbox: 0.1189 loss_mask: 0.1947 loss: 0.4138 2022/08/26 17:30:59 - mmengine - INFO - Epoch(train) [93][50/125] lr: 8.0000e-03 eta: 0:59:20 time: 0.4848 data_time: 0.1830 memory: 6705 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0127 loss_cls: 0.0867 acc: 94.5801 loss_bbox: 0.1272 loss_mask: 0.2036 loss: 0.4399 2022/08/26 17:31:02 - mmengine - INFO - Epoch(train) [93][55/125] lr: 8.0000e-03 eta: 0:59:20 time: 0.4550 data_time: 0.1489 memory: 6617 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0156 loss_cls: 0.0997 acc: 95.9229 loss_bbox: 0.1446 loss_mask: 0.2116 loss: 0.4835 2022/08/26 17:31:03 - mmengine - INFO - Epoch(train) [93][60/125] lr: 8.0000e-03 eta: 0:59:16 time: 0.3922 data_time: 0.1100 memory: 6594 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0128 loss_cls: 0.0978 acc: 96.0449 loss_bbox: 0.1425 loss_mask: 0.2132 loss: 0.4780 2022/08/26 17:31:05 - mmengine - INFO - Epoch(train) [93][65/125] lr: 8.0000e-03 eta: 0:59:16 time: 0.3163 data_time: 0.0447 memory: 6268 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0090 loss_cls: 0.0895 acc: 99.1211 loss_bbox: 0.1263 loss_mask: 0.2079 loss: 0.4402 2022/08/26 17:31:07 - mmengine - INFO - Epoch(train) [93][70/125] lr: 8.0000e-03 eta: 0:59:11 time: 0.4118 data_time: 0.0857 memory: 6147 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0104 loss_cls: 0.0901 acc: 97.5342 loss_bbox: 0.1226 loss_mask: 0.2209 loss: 0.4524 2022/08/26 17:31:10 - mmengine - INFO - Epoch(train) [93][75/125] lr: 8.0000e-03 eta: 0:59:11 time: 0.4824 data_time: 0.1144 memory: 6621 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0131 loss_cls: 0.0833 acc: 94.9219 loss_bbox: 0.1180 loss_mask: 0.2216 loss: 0.4432 2022/08/26 17:31:11 - mmengine - INFO - Epoch(train) [93][80/125] lr: 8.0000e-03 eta: 0:59:07 time: 0.4101 data_time: 0.1012 memory: 6626 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0124 loss_cls: 0.0781 acc: 97.2656 loss_bbox: 0.1159 loss_mask: 0.2098 loss: 0.4222 2022/08/26 17:31:13 - mmengine - INFO - Epoch(train) [93][85/125] lr: 8.0000e-03 eta: 0:59:07 time: 0.3602 data_time: 0.0925 memory: 6304 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0110 loss_cls: 0.0890 acc: 97.0947 loss_bbox: 0.1226 loss_mask: 0.2165 loss: 0.4466 2022/08/26 17:31:15 - mmengine - INFO - Epoch(train) [93][90/125] lr: 8.0000e-03 eta: 0:59:02 time: 0.3504 data_time: 0.0762 memory: 6603 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0103 loss_cls: 0.0937 acc: 96.6064 loss_bbox: 0.1259 loss_mask: 0.2104 loss: 0.4470 2022/08/26 17:31:17 - mmengine - INFO - Epoch(train) [93][95/125] lr: 8.0000e-03 eta: 0:59:02 time: 0.4120 data_time: 0.1343 memory: 6473 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0105 loss_cls: 0.0814 acc: 96.2402 loss_bbox: 0.1210 loss_mask: 0.1983 loss: 0.4164 2022/08/26 17:31:19 - mmengine - INFO - Epoch(train) [93][100/125] lr: 8.0000e-03 eta: 0:58:58 time: 0.4226 data_time: 0.1431 memory: 6326 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0095 loss_cls: 0.0726 acc: 97.4854 loss_bbox: 0.1139 loss_mask: 0.1964 loss: 0.3975 2022/08/26 17:31:21 - mmengine - INFO - Epoch(train) [93][105/125] lr: 8.0000e-03 eta: 0:58:58 time: 0.3564 data_time: 0.0742 memory: 6444 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0115 loss_cls: 0.0859 acc: 95.3125 loss_bbox: 0.1310 loss_mask: 0.2031 loss: 0.4403 2022/08/26 17:31:23 - mmengine - INFO - Epoch(train) [93][110/125] lr: 8.0000e-03 eta: 0:58:53 time: 0.3526 data_time: 0.0782 memory: 6363 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0121 loss_cls: 0.0898 acc: 96.6064 loss_bbox: 0.1300 loss_mask: 0.2085 loss: 0.4497 2022/08/26 17:31:24 - mmengine - INFO - Epoch(train) [93][115/125] lr: 8.0000e-03 eta: 0:58:53 time: 0.3515 data_time: 0.0811 memory: 6503 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0090 loss_cls: 0.0783 acc: 96.5820 loss_bbox: 0.1151 loss_mask: 0.2006 loss: 0.4089 2022/08/26 17:31:26 - mmengine - INFO - Epoch(train) [93][120/125] lr: 8.0000e-03 eta: 0:58:49 time: 0.3541 data_time: 0.0857 memory: 6339 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0103 loss_cls: 0.0724 acc: 98.2666 loss_bbox: 0.1118 loss_mask: 0.1924 loss: 0.3928 2022/08/26 17:31:29 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:31:29 - mmengine - INFO - Epoch(train) [93][125/125] lr: 8.0000e-03 eta: 0:58:49 time: 0.4726 data_time: 0.1037 memory: 6509 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0109 loss_cls: 0.0794 acc: 97.7539 loss_bbox: 0.1127 loss_mask: 0.1928 loss: 0.4026 2022/08/26 17:31:33 - mmengine - INFO - Epoch(train) [94][5/125] lr: 8.0000e-03 eta: 0:58:49 time: 0.6445 data_time: 0.2461 memory: 6333 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0093 loss_cls: 0.0902 acc: 96.2158 loss_bbox: 0.1236 loss_mask: 0.2050 loss: 0.4356 2022/08/26 17:31:35 - mmengine - INFO - Epoch(train) [94][10/125] lr: 8.0000e-03 eta: 0:58:42 time: 0.5331 data_time: 0.2346 memory: 6551 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0116 loss_cls: 0.0885 acc: 96.8994 loss_bbox: 0.1314 loss_mask: 0.2065 loss: 0.4453 2022/08/26 17:31:36 - mmengine - INFO - Epoch(train) [94][15/125] lr: 8.0000e-03 eta: 0:58:42 time: 0.3389 data_time: 0.0707 memory: 6387 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0125 loss_cls: 0.0796 acc: 96.8262 loss_bbox: 0.1184 loss_mask: 0.2054 loss: 0.4223 2022/08/26 17:31:39 - mmengine - INFO - Epoch(train) [94][20/125] lr: 8.0000e-03 eta: 0:58:37 time: 0.3986 data_time: 0.1240 memory: 6373 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0104 loss_cls: 0.0766 acc: 97.0947 loss_bbox: 0.1169 loss_mask: 0.2006 loss: 0.4099 2022/08/26 17:31:42 - mmengine - INFO - Epoch(train) [94][25/125] lr: 8.0000e-03 eta: 0:58:37 time: 0.5398 data_time: 0.2338 memory: 7618 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0110 loss_cls: 0.0837 acc: 96.9727 loss_bbox: 0.1371 loss_mask: 0.1993 loss: 0.4373 2022/08/26 17:31:44 - mmengine - INFO - Epoch(train) [94][30/125] lr: 8.0000e-03 eta: 0:58:34 time: 0.4917 data_time: 0.1968 memory: 6480 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0120 loss_cls: 0.0791 acc: 97.2412 loss_bbox: 0.1243 loss_mask: 0.2065 loss: 0.4285 2022/08/26 17:31:45 - mmengine - INFO - Epoch(train) [94][35/125] lr: 8.0000e-03 eta: 0:58:34 time: 0.3665 data_time: 0.0903 memory: 7005 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0126 loss_cls: 0.0846 acc: 97.5830 loss_bbox: 0.1326 loss_mask: 0.2057 loss: 0.4483 2022/08/26 17:31:47 - mmengine - INFO - Epoch(train) [94][40/125] lr: 8.0000e-03 eta: 0:58:29 time: 0.3800 data_time: 0.0471 memory: 6222 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0112 loss_cls: 0.0912 acc: 97.9004 loss_bbox: 0.1417 loss_mask: 0.2039 loss: 0.4601 2022/08/26 17:31:49 - mmengine - INFO - Epoch(train) [94][45/125] lr: 8.0000e-03 eta: 0:58:29 time: 0.4077 data_time: 0.0772 memory: 6519 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0094 loss_cls: 0.0840 acc: 96.6064 loss_bbox: 0.1248 loss_mask: 0.2035 loss: 0.4281 2022/08/26 17:31:51 - mmengine - INFO - Epoch(train) [94][50/125] lr: 8.0000e-03 eta: 0:58:25 time: 0.3931 data_time: 0.0970 memory: 6356 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0107 loss_cls: 0.0902 acc: 98.0225 loss_bbox: 0.1320 loss_mask: 0.2084 loss: 0.4508 2022/08/26 17:31:53 - mmengine - INFO - Epoch(train) [94][55/125] lr: 8.0000e-03 eta: 0:58:25 time: 0.3894 data_time: 0.0892 memory: 6754 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0141 loss_cls: 0.1026 acc: 95.5078 loss_bbox: 0.1410 loss_mask: 0.2103 loss: 0.4796 2022/08/26 17:31:55 - mmengine - INFO - Epoch(train) [94][60/125] lr: 8.0000e-03 eta: 0:58:20 time: 0.3655 data_time: 0.0803 memory: 6402 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0124 loss_cls: 0.0955 acc: 97.0215 loss_bbox: 0.1355 loss_mask: 0.2066 loss: 0.4585 2022/08/26 17:31:58 - mmengine - INFO - Epoch(train) [94][65/125] lr: 8.0000e-03 eta: 0:58:20 time: 0.4337 data_time: 0.1538 memory: 6401 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0090 loss_cls: 0.0803 acc: 97.4854 loss_bbox: 0.1193 loss_mask: 0.1945 loss: 0.4094 2022/08/26 17:32:00 - mmengine - INFO - Epoch(train) [94][70/125] lr: 8.0000e-03 eta: 0:58:16 time: 0.4597 data_time: 0.1785 memory: 6630 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0092 loss_cls: 0.0836 acc: 93.6035 loss_bbox: 0.1169 loss_mask: 0.1872 loss: 0.4040 2022/08/26 17:32:01 - mmengine - INFO - Epoch(train) [94][75/125] lr: 8.0000e-03 eta: 0:58:16 time: 0.3531 data_time: 0.0829 memory: 6252 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0077 loss_cls: 0.0817 acc: 96.5820 loss_bbox: 0.1098 loss_mask: 0.1988 loss: 0.4055 2022/08/26 17:32:04 - mmengine - INFO - Epoch(train) [94][80/125] lr: 8.0000e-03 eta: 0:58:12 time: 0.4370 data_time: 0.1697 memory: 6486 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0079 loss_cls: 0.0808 acc: 97.8027 loss_bbox: 0.1092 loss_mask: 0.2028 loss: 0.4088 2022/08/26 17:32:06 - mmengine - INFO - Epoch(train) [94][85/125] lr: 8.0000e-03 eta: 0:58:12 time: 0.4707 data_time: 0.1958 memory: 6996 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0119 loss_cls: 0.0911 acc: 97.8271 loss_bbox: 0.1347 loss_mask: 0.2002 loss: 0.4463 2022/08/26 17:32:09 - mmengine - INFO - Epoch(train) [94][90/125] lr: 8.0000e-03 eta: 0:58:08 time: 0.4897 data_time: 0.1445 memory: 6265 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0123 loss_cls: 0.0978 acc: 96.3867 loss_bbox: 0.1423 loss_mask: 0.2106 loss: 0.4713 2022/08/26 17:32:11 - mmengine - INFO - Epoch(train) [94][95/125] lr: 8.0000e-03 eta: 0:58:08 time: 0.4826 data_time: 0.1355 memory: 6356 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0096 loss_cls: 0.0948 acc: 95.3613 loss_bbox: 0.1341 loss_mask: 0.2053 loss: 0.4505 2022/08/26 17:32:12 - mmengine - INFO - Epoch(train) [94][100/125] lr: 8.0000e-03 eta: 0:58:04 time: 0.3398 data_time: 0.0631 memory: 6369 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0081 loss_cls: 0.0861 acc: 96.1426 loss_bbox: 0.1292 loss_mask: 0.1976 loss: 0.4283 2022/08/26 17:32:15 - mmengine - INFO - Epoch(train) [94][105/125] lr: 8.0000e-03 eta: 0:58:04 time: 0.4049 data_time: 0.0605 memory: 6245 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0083 loss_cls: 0.0751 acc: 96.8262 loss_bbox: 0.1177 loss_mask: 0.2069 loss: 0.4150 2022/08/26 17:32:17 - mmengine - INFO - Epoch(train) [94][110/125] lr: 8.0000e-03 eta: 0:57:59 time: 0.4318 data_time: 0.0863 memory: 6413 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0084 loss_cls: 0.0757 acc: 97.2412 loss_bbox: 0.1120 loss_mask: 0.2090 loss: 0.4105 2022/08/26 17:32:19 - mmengine - INFO - Epoch(train) [94][115/125] lr: 8.0000e-03 eta: 0:57:59 time: 0.3890 data_time: 0.1140 memory: 6692 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0101 loss_cls: 0.0791 acc: 97.6562 loss_bbox: 0.1169 loss_mask: 0.2038 loss: 0.4148 2022/08/26 17:32:20 - mmengine - INFO - Epoch(train) [94][120/125] lr: 8.0000e-03 eta: 0:57:55 time: 0.3864 data_time: 0.1144 memory: 6022 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0108 loss_cls: 0.0717 acc: 96.7773 loss_bbox: 0.1094 loss_mask: 0.1943 loss: 0.3924 2022/08/26 17:32:22 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:32:22 - mmengine - INFO - Epoch(train) [94][125/125] lr: 8.0000e-03 eta: 0:57:55 time: 0.3605 data_time: 0.0884 memory: 6298 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0118 loss_cls: 0.0745 acc: 96.7529 loss_bbox: 0.1150 loss_mask: 0.2031 loss: 0.4153 2022/08/26 17:32:26 - mmengine - INFO - Epoch(train) [95][5/125] lr: 8.0000e-03 eta: 0:57:55 time: 0.5513 data_time: 0.2751 memory: 6443 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0134 loss_cls: 0.0829 acc: 97.5342 loss_bbox: 0.1264 loss_mask: 0.2137 loss: 0.4463 2022/08/26 17:32:29 - mmengine - INFO - Epoch(train) [95][10/125] lr: 8.0000e-03 eta: 0:57:49 time: 0.6346 data_time: 0.3251 memory: 6300 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0118 loss_cls: 0.0871 acc: 97.5342 loss_bbox: 0.1273 loss_mask: 0.2091 loss: 0.4420 2022/08/26 17:32:30 - mmengine - INFO - Epoch(train) [95][15/125] lr: 8.0000e-03 eta: 0:57:49 time: 0.4313 data_time: 0.1225 memory: 6515 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0110 loss_cls: 0.0900 acc: 97.0215 loss_bbox: 0.1316 loss_mask: 0.2035 loss: 0.4438 2022/08/26 17:32:32 - mmengine - INFO - Epoch(train) [95][20/125] lr: 8.0000e-03 eta: 0:57:44 time: 0.3355 data_time: 0.0655 memory: 6058 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0094 loss_cls: 0.0873 acc: 98.0225 loss_bbox: 0.1167 loss_mask: 0.2040 loss: 0.4244 2022/08/26 17:32:34 - mmengine - INFO - Epoch(train) [95][25/125] lr: 8.0000e-03 eta: 0:57:44 time: 0.3780 data_time: 0.0919 memory: 6411 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0111 loss_cls: 0.0872 acc: 96.7773 loss_bbox: 0.1181 loss_mask: 0.2239 loss: 0.4490 2022/08/26 17:32:36 - mmengine - INFO - Epoch(train) [95][30/125] lr: 8.0000e-03 eta: 0:57:40 time: 0.3992 data_time: 0.1121 memory: 6229 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0114 loss_cls: 0.0884 acc: 97.2168 loss_bbox: 0.1247 loss_mask: 0.2385 loss: 0.4717 2022/08/26 17:32:38 - mmengine - INFO - Epoch(train) [95][35/125] lr: 8.0000e-03 eta: 0:57:40 time: 0.3887 data_time: 0.1163 memory: 6780 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0105 loss_cls: 0.0822 acc: 97.8027 loss_bbox: 0.1106 loss_mask: 0.2199 loss: 0.4295 2022/08/26 17:32:40 - mmengine - INFO - Epoch(train) [95][40/125] lr: 8.0000e-03 eta: 0:57:35 time: 0.3935 data_time: 0.1119 memory: 6523 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0127 loss_cls: 0.0839 acc: 96.4844 loss_bbox: 0.1264 loss_mask: 0.2048 loss: 0.4336 2022/08/26 17:32:42 - mmengine - INFO - Epoch(train) [95][45/125] lr: 8.0000e-03 eta: 0:57:35 time: 0.3878 data_time: 0.1030 memory: 6601 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0120 loss_cls: 0.0900 acc: 97.9980 loss_bbox: 0.1409 loss_mask: 0.2030 loss: 0.4517 2022/08/26 17:32:44 - mmengine - INFO - Epoch(train) [95][50/125] lr: 8.0000e-03 eta: 0:57:31 time: 0.3604 data_time: 0.0797 memory: 6594 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0114 loss_cls: 0.0939 acc: 94.6777 loss_bbox: 0.1358 loss_mask: 0.1915 loss: 0.4415 2022/08/26 17:32:46 - mmengine - INFO - Epoch(train) [95][55/125] lr: 8.0000e-03 eta: 0:57:31 time: 0.3744 data_time: 0.0983 memory: 6411 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0117 loss_cls: 0.1000 acc: 95.2148 loss_bbox: 0.1393 loss_mask: 0.1965 loss: 0.4578 2022/08/26 17:32:48 - mmengine - INFO - Epoch(train) [95][60/125] lr: 8.0000e-03 eta: 0:57:27 time: 0.4817 data_time: 0.1394 memory: 7651 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0105 loss_cls: 0.1106 acc: 96.8018 loss_bbox: 0.1498 loss_mask: 0.2149 loss: 0.4959 2022/08/26 17:32:50 - mmengine - INFO - Epoch(train) [95][65/125] lr: 8.0000e-03 eta: 0:57:27 time: 0.4411 data_time: 0.0993 memory: 6447 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0102 loss_cls: 0.0964 acc: 96.7285 loss_bbox: 0.1409 loss_mask: 0.2037 loss: 0.4599 2022/08/26 17:32:53 - mmengine - INFO - Epoch(train) [95][70/125] lr: 8.0000e-03 eta: 0:57:23 time: 0.4407 data_time: 0.1652 memory: 6323 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0121 loss_cls: 0.0825 acc: 96.2158 loss_bbox: 0.1341 loss_mask: 0.1962 loss: 0.4312 2022/08/26 17:32:54 - mmengine - INFO - Epoch(train) [95][75/125] lr: 8.0000e-03 eta: 0:57:23 time: 0.4268 data_time: 0.1544 memory: 6734 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0112 loss_cls: 0.0879 acc: 97.0947 loss_bbox: 0.1380 loss_mask: 0.2003 loss: 0.4444 2022/08/26 17:32:56 - mmengine - INFO - Epoch(train) [95][80/125] lr: 8.0000e-03 eta: 0:57:18 time: 0.3618 data_time: 0.0782 memory: 6238 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0083 loss_cls: 0.0797 acc: 96.2646 loss_bbox: 0.1220 loss_mask: 0.1869 loss: 0.4037 2022/08/26 17:32:59 - mmengine - INFO - Epoch(train) [95][85/125] lr: 8.0000e-03 eta: 0:57:18 time: 0.4462 data_time: 0.0917 memory: 6516 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0094 loss_cls: 0.0871 acc: 97.2656 loss_bbox: 0.1318 loss_mask: 0.2005 loss: 0.4355 2022/08/26 17:33:01 - mmengine - INFO - Epoch(train) [95][90/125] lr: 8.0000e-03 eta: 0:57:14 time: 0.4121 data_time: 0.0690 memory: 6512 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0100 loss_cls: 0.0882 acc: 98.6084 loss_bbox: 0.1387 loss_mask: 0.2032 loss: 0.4460 2022/08/26 17:33:02 - mmengine - INFO - Epoch(train) [95][95/125] lr: 8.0000e-03 eta: 0:57:14 time: 0.3519 data_time: 0.0782 memory: 6493 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0108 loss_cls: 0.0862 acc: 96.2158 loss_bbox: 0.1309 loss_mask: 0.2039 loss: 0.4405 2022/08/26 17:33:05 - mmengine - INFO - Epoch(train) [95][100/125] lr: 8.0000e-03 eta: 0:57:10 time: 0.4558 data_time: 0.1797 memory: 6561 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0130 loss_cls: 0.0918 acc: 96.8994 loss_bbox: 0.1330 loss_mask: 0.2094 loss: 0.4571 2022/08/26 17:33:08 - mmengine - INFO - Epoch(train) [95][105/125] lr: 8.0000e-03 eta: 0:57:10 time: 0.5380 data_time: 0.1898 memory: 6692 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0130 loss_cls: 0.0872 acc: 94.6289 loss_bbox: 0.1387 loss_mask: 0.1930 loss: 0.4382 2022/08/26 17:33:10 - mmengine - INFO - Epoch(train) [95][110/125] lr: 8.0000e-03 eta: 0:57:06 time: 0.4505 data_time: 0.0812 memory: 6822 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0136 loss_cls: 0.0931 acc: 94.1162 loss_bbox: 0.1444 loss_mask: 0.1927 loss: 0.4499 2022/08/26 17:33:11 - mmengine - INFO - Epoch(train) [95][115/125] lr: 8.0000e-03 eta: 0:57:06 time: 0.3783 data_time: 0.0793 memory: 6048 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0117 loss_cls: 0.0902 acc: 96.9482 loss_bbox: 0.1290 loss_mask: 0.2034 loss: 0.4430 2022/08/26 17:33:13 - mmengine - INFO - Epoch(train) [95][120/125] lr: 8.0000e-03 eta: 0:57:01 time: 0.3611 data_time: 0.0831 memory: 6492 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0094 loss_cls: 0.0852 acc: 97.2900 loss_bbox: 0.1186 loss_mask: 0.2139 loss: 0.4347 2022/08/26 17:33:15 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:33:15 - mmengine - INFO - Epoch(train) [95][125/125] lr: 8.0000e-03 eta: 0:57:01 time: 0.3253 data_time: 0.0489 memory: 6313 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0098 loss_cls: 0.0866 acc: 97.5586 loss_bbox: 0.1260 loss_mask: 0.2037 loss: 0.4317 2022/08/26 17:33:18 - mmengine - INFO - Epoch(train) [96][5/125] lr: 8.0000e-03 eta: 0:57:01 time: 0.4776 data_time: 0.2012 memory: 6617 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0095 loss_cls: 0.0852 acc: 96.4844 loss_bbox: 0.1322 loss_mask: 0.1952 loss: 0.4302 2022/08/26 17:33:20 - mmengine - INFO - Epoch(train) [96][10/125] lr: 8.0000e-03 eta: 0:56:54 time: 0.5211 data_time: 0.2435 memory: 6431 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0088 loss_cls: 0.0860 acc: 96.6553 loss_bbox: 0.1284 loss_mask: 0.2065 loss: 0.4382 2022/08/26 17:33:22 - mmengine - INFO - Epoch(train) [96][15/125] lr: 8.0000e-03 eta: 0:56:54 time: 0.3946 data_time: 0.1107 memory: 6311 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0080 loss_cls: 0.0817 acc: 97.6318 loss_bbox: 0.1165 loss_mask: 0.2054 loss: 0.4176 2022/08/26 17:33:24 - mmengine - INFO - Epoch(train) [96][20/125] lr: 8.0000e-03 eta: 0:56:50 time: 0.3846 data_time: 0.1039 memory: 6451 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0113 loss_cls: 0.0855 acc: 95.8252 loss_bbox: 0.1195 loss_mask: 0.2060 loss: 0.4285 2022/08/26 17:33:26 - mmengine - INFO - Epoch(train) [96][25/125] lr: 8.0000e-03 eta: 0:56:50 time: 0.3642 data_time: 0.0944 memory: 6460 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0121 loss_cls: 0.0797 acc: 97.7051 loss_bbox: 0.1162 loss_mask: 0.1997 loss: 0.4156 2022/08/26 17:33:28 - mmengine - INFO - Epoch(train) [96][30/125] lr: 8.0000e-03 eta: 0:56:45 time: 0.3752 data_time: 0.0630 memory: 6154 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0084 loss_cls: 0.0686 acc: 97.5830 loss_bbox: 0.1052 loss_mask: 0.1983 loss: 0.3876 2022/08/26 17:33:29 - mmengine - INFO - Epoch(train) [96][35/125] lr: 8.0000e-03 eta: 0:56:45 time: 0.3517 data_time: 0.0430 memory: 6406 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0080 loss_cls: 0.0700 acc: 97.4609 loss_bbox: 0.1040 loss_mask: 0.1986 loss: 0.3886 2022/08/26 17:33:31 - mmengine - INFO - Epoch(train) [96][40/125] lr: 8.0000e-03 eta: 0:56:41 time: 0.3650 data_time: 0.0681 memory: 8133 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0119 loss_cls: 0.0830 acc: 94.7998 loss_bbox: 0.1208 loss_mask: 0.1964 loss: 0.4217 2022/08/26 17:33:33 - mmengine - INFO - Epoch(train) [96][45/125] lr: 8.0000e-03 eta: 0:56:41 time: 0.3854 data_time: 0.0839 memory: 6618 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0135 loss_cls: 0.0925 acc: 96.7285 loss_bbox: 0.1291 loss_mask: 0.2003 loss: 0.4486 2022/08/26 17:33:35 - mmengine - INFO - Epoch(train) [96][50/125] lr: 8.0000e-03 eta: 0:56:36 time: 0.3472 data_time: 0.0735 memory: 6594 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0109 loss_cls: 0.0895 acc: 97.7051 loss_bbox: 0.1231 loss_mask: 0.1965 loss: 0.4325 2022/08/26 17:33:36 - mmengine - INFO - Epoch(train) [96][55/125] lr: 8.0000e-03 eta: 0:56:36 time: 0.3245 data_time: 0.0545 memory: 6610 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0095 loss_cls: 0.0819 acc: 97.6074 loss_bbox: 0.1210 loss_mask: 0.2073 loss: 0.4258 2022/08/26 17:33:38 - mmengine - INFO - Epoch(train) [96][60/125] lr: 8.0000e-03 eta: 0:56:31 time: 0.3138 data_time: 0.0432 memory: 6568 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0085 loss_cls: 0.0762 acc: 97.4854 loss_bbox: 0.1147 loss_mask: 0.2106 loss: 0.4152 2022/08/26 17:33:41 - mmengine - INFO - Epoch(train) [96][65/125] lr: 8.0000e-03 eta: 0:56:31 time: 0.4434 data_time: 0.1669 memory: 6509 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0106 loss_cls: 0.0938 acc: 95.4590 loss_bbox: 0.1334 loss_mask: 0.2047 loss: 0.4494 2022/08/26 17:33:43 - mmengine - INFO - Epoch(train) [96][70/125] lr: 8.0000e-03 eta: 0:56:27 time: 0.5117 data_time: 0.2014 memory: 6405 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0142 loss_cls: 0.0967 acc: 98.5107 loss_bbox: 0.1361 loss_mask: 0.2027 loss: 0.4587 2022/08/26 17:33:45 - mmengine - INFO - Epoch(train) [96][75/125] lr: 8.0000e-03 eta: 0:56:27 time: 0.4153 data_time: 0.0912 memory: 6705 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0115 loss_cls: 0.0827 acc: 95.7764 loss_bbox: 0.1200 loss_mask: 0.1948 loss: 0.4171 2022/08/26 17:33:47 - mmengine - INFO - Epoch(train) [96][80/125] lr: 8.0000e-03 eta: 0:56:23 time: 0.3983 data_time: 0.0725 memory: 8106 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0099 loss_cls: 0.0829 acc: 96.7529 loss_bbox: 0.1226 loss_mask: 0.2015 loss: 0.4228 2022/08/26 17:33:49 - mmengine - INFO - Epoch(train) [96][85/125] lr: 8.0000e-03 eta: 0:56:23 time: 0.4553 data_time: 0.1355 memory: 6493 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0121 loss_cls: 0.0848 acc: 95.3369 loss_bbox: 0.1314 loss_mask: 0.1987 loss: 0.4356 2022/08/26 17:33:51 - mmengine - INFO - Epoch(train) [96][90/125] lr: 8.0000e-03 eta: 0:56:19 time: 0.4241 data_time: 0.1404 memory: 6300 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0108 loss_cls: 0.0878 acc: 97.8271 loss_bbox: 0.1332 loss_mask: 0.2023 loss: 0.4457 2022/08/26 17:33:53 - mmengine - INFO - Epoch(train) [96][95/125] lr: 8.0000e-03 eta: 0:56:19 time: 0.3687 data_time: 0.0972 memory: 6405 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0092 loss_cls: 0.0829 acc: 98.5107 loss_bbox: 0.1208 loss_mask: 0.2084 loss: 0.4328 2022/08/26 17:33:55 - mmengine - INFO - Epoch(train) [96][100/125] lr: 8.0000e-03 eta: 0:56:14 time: 0.3767 data_time: 0.1041 memory: 6483 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0094 loss_cls: 0.0809 acc: 95.5078 loss_bbox: 0.1204 loss_mask: 0.1931 loss: 0.4133 2022/08/26 17:33:57 - mmengine - INFO - Epoch(train) [96][105/125] lr: 8.0000e-03 eta: 0:56:14 time: 0.3631 data_time: 0.0901 memory: 6378 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0096 loss_cls: 0.0785 acc: 96.9482 loss_bbox: 0.1174 loss_mask: 0.2028 loss: 0.4161 2022/08/26 17:34:00 - mmengine - INFO - Epoch(train) [96][110/125] lr: 8.0000e-03 eta: 0:56:11 time: 0.4863 data_time: 0.0962 memory: 6756 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0110 loss_cls: 0.0911 acc: 96.3623 loss_bbox: 0.1389 loss_mask: 0.2173 loss: 0.4655 2022/08/26 17:34:02 - mmengine - INFO - Epoch(train) [96][115/125] lr: 8.0000e-03 eta: 0:56:11 time: 0.5088 data_time: 0.1033 memory: 6366 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0110 loss_cls: 0.0935 acc: 96.2891 loss_bbox: 0.1475 loss_mask: 0.2101 loss: 0.4680 2022/08/26 17:34:04 - mmengine - INFO - Epoch(train) [96][120/125] lr: 8.0000e-03 eta: 0:56:06 time: 0.3818 data_time: 0.0966 memory: 6457 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0097 loss_cls: 0.0814 acc: 95.8740 loss_bbox: 0.1253 loss_mask: 0.2148 loss: 0.4369 2022/08/26 17:34:05 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:34:05 - mmengine - INFO - Epoch(train) [96][125/125] lr: 8.0000e-03 eta: 0:56:06 time: 0.3415 data_time: 0.0732 memory: 6330 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0108 loss_cls: 0.0887 acc: 96.5332 loss_bbox: 0.1260 loss_mask: 0.2101 loss: 0.4422 2022/08/26 17:34:08 - mmengine - INFO - Epoch(train) [97][5/125] lr: 8.0000e-03 eta: 0:56:06 time: 0.4698 data_time: 0.1964 memory: 6132 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0094 loss_cls: 0.0878 acc: 96.1914 loss_bbox: 0.1218 loss_mask: 0.1972 loss: 0.4225 2022/08/26 17:34:11 - mmengine - INFO - Epoch(train) [97][10/125] lr: 8.0000e-03 eta: 0:55:59 time: 0.5174 data_time: 0.2451 memory: 6538 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0080 loss_cls: 0.0855 acc: 97.9980 loss_bbox: 0.1165 loss_mask: 0.2050 loss: 0.4219 2022/08/26 17:34:12 - mmengine - INFO - Epoch(train) [97][15/125] lr: 8.0000e-03 eta: 0:55:59 time: 0.3706 data_time: 0.1024 memory: 6291 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0091 loss_cls: 0.0768 acc: 97.1191 loss_bbox: 0.1074 loss_mask: 0.1996 loss: 0.4024 2022/08/26 17:34:14 - mmengine - INFO - Epoch(train) [97][20/125] lr: 8.0000e-03 eta: 0:55:54 time: 0.3587 data_time: 0.0709 memory: 6228 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0097 loss_cls: 0.0629 acc: 98.8281 loss_bbox: 0.0957 loss_mask: 0.1880 loss: 0.3645 2022/08/26 17:34:16 - mmengine - INFO - Epoch(train) [97][25/125] lr: 8.0000e-03 eta: 0:55:54 time: 0.3907 data_time: 0.1028 memory: 6345 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0099 loss_cls: 0.0728 acc: 97.4365 loss_bbox: 0.1094 loss_mask: 0.1986 loss: 0.3994 2022/08/26 17:34:18 - mmengine - INFO - Epoch(train) [97][30/125] lr: 8.0000e-03 eta: 0:55:50 time: 0.4054 data_time: 0.0952 memory: 6547 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0112 loss_cls: 0.0963 acc: 96.7529 loss_bbox: 0.1442 loss_mask: 0.2171 loss: 0.4811 2022/08/26 17:34:21 - mmengine - INFO - Epoch(train) [97][35/125] lr: 8.0000e-03 eta: 0:55:50 time: 0.5027 data_time: 0.1916 memory: 6484 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0121 loss_cls: 0.0924 acc: 97.0459 loss_bbox: 0.1407 loss_mask: 0.2084 loss: 0.4631 2022/08/26 17:34:23 - mmengine - INFO - Epoch(train) [97][40/125] lr: 8.0000e-03 eta: 0:55:46 time: 0.4446 data_time: 0.1723 memory: 6699 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0122 loss_cls: 0.0823 acc: 97.1680 loss_bbox: 0.1241 loss_mask: 0.1965 loss: 0.4217 2022/08/26 17:34:25 - mmengine - INFO - Epoch(train) [97][45/125] lr: 8.0000e-03 eta: 0:55:46 time: 0.3774 data_time: 0.1102 memory: 6022 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0106 loss_cls: 0.0743 acc: 97.0947 loss_bbox: 0.1101 loss_mask: 0.1930 loss: 0.3946 2022/08/26 17:34:27 - mmengine - INFO - Epoch(train) [97][50/125] lr: 8.0000e-03 eta: 0:55:42 time: 0.4268 data_time: 0.1349 memory: 7748 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0088 loss_cls: 0.0708 acc: 96.8506 loss_bbox: 0.1042 loss_mask: 0.1873 loss: 0.3777 2022/08/26 17:34:29 - mmengine - INFO - Epoch(train) [97][55/125] lr: 8.0000e-03 eta: 0:55:42 time: 0.3764 data_time: 0.0702 memory: 6418 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0124 loss_cls: 0.0820 acc: 95.7764 loss_bbox: 0.1224 loss_mask: 0.1980 loss: 0.4264 2022/08/26 17:34:31 - mmengine - INFO - Epoch(train) [97][60/125] lr: 8.0000e-03 eta: 0:55:37 time: 0.3620 data_time: 0.0779 memory: 6725 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0133 loss_cls: 0.0932 acc: 96.0938 loss_bbox: 0.1287 loss_mask: 0.2061 loss: 0.4526 2022/08/26 17:34:32 - mmengine - INFO - Epoch(train) [97][65/125] lr: 8.0000e-03 eta: 0:55:37 time: 0.3545 data_time: 0.0824 memory: 6334 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0094 loss_cls: 0.0907 acc: 96.0938 loss_bbox: 0.1264 loss_mask: 0.2096 loss: 0.4428 2022/08/26 17:34:34 - mmengine - INFO - Epoch(train) [97][70/125] lr: 8.0000e-03 eta: 0:55:33 time: 0.3469 data_time: 0.0780 memory: 6549 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0099 loss_cls: 0.0870 acc: 96.8994 loss_bbox: 0.1270 loss_mask: 0.2128 loss: 0.4436 2022/08/26 17:34:36 - mmengine - INFO - Epoch(train) [97][75/125] lr: 8.0000e-03 eta: 0:55:33 time: 0.4268 data_time: 0.1545 memory: 6480 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0116 loss_cls: 0.0876 acc: 97.1680 loss_bbox: 0.1261 loss_mask: 0.2071 loss: 0.4396 2022/08/26 17:34:40 - mmengine - INFO - Epoch(train) [97][80/125] lr: 8.0000e-03 eta: 0:55:30 time: 0.6084 data_time: 0.2394 memory: 6591 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0136 loss_cls: 0.0919 acc: 95.7275 loss_bbox: 0.1378 loss_mask: 0.1980 loss: 0.4478 2022/08/26 17:34:42 - mmengine - INFO - Epoch(train) [97][85/125] lr: 8.0000e-03 eta: 0:55:30 time: 0.5432 data_time: 0.1759 memory: 6271 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0117 loss_cls: 0.0868 acc: 96.2158 loss_bbox: 0.1275 loss_mask: 0.1884 loss: 0.4212 2022/08/26 17:34:44 - mmengine - INFO - Epoch(train) [97][90/125] lr: 8.0000e-03 eta: 0:55:25 time: 0.3686 data_time: 0.0964 memory: 6614 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0085 loss_cls: 0.0776 acc: 96.4844 loss_bbox: 0.1183 loss_mask: 0.1906 loss: 0.4018 2022/08/26 17:34:46 - mmengine - INFO - Epoch(train) [97][95/125] lr: 8.0000e-03 eta: 0:55:25 time: 0.3848 data_time: 0.1111 memory: 6545 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0106 loss_cls: 0.0907 acc: 94.6045 loss_bbox: 0.1368 loss_mask: 0.2168 loss: 0.4634 2022/08/26 17:34:48 - mmengine - INFO - Epoch(train) [97][100/125] lr: 8.0000e-03 eta: 0:55:21 time: 0.4280 data_time: 0.1258 memory: 6460 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0103 loss_cls: 0.0903 acc: 95.7520 loss_bbox: 0.1295 loss_mask: 0.2162 loss: 0.4543 2022/08/26 17:34:50 - mmengine - INFO - Epoch(train) [97][105/125] lr: 8.0000e-03 eta: 0:55:21 time: 0.4106 data_time: 0.1083 memory: 6786 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0093 loss_cls: 0.0836 acc: 97.3389 loss_bbox: 0.1317 loss_mask: 0.1892 loss: 0.4198 2022/08/26 17:34:52 - mmengine - INFO - Epoch(train) [97][110/125] lr: 8.0000e-03 eta: 0:55:16 time: 0.3773 data_time: 0.0804 memory: 6689 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0085 loss_cls: 0.0801 acc: 98.1445 loss_bbox: 0.1273 loss_mask: 0.1930 loss: 0.4150 2022/08/26 17:34:53 - mmengine - INFO - Epoch(train) [97][115/125] lr: 8.0000e-03 eta: 0:55:16 time: 0.3530 data_time: 0.0552 memory: 6191 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0089 loss_cls: 0.0791 acc: 96.1182 loss_bbox: 0.1129 loss_mask: 0.2111 loss: 0.4204 2022/08/26 17:34:55 - mmengine - INFO - Epoch(train) [97][120/125] lr: 8.0000e-03 eta: 0:55:12 time: 0.3359 data_time: 0.0644 memory: 6140 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0092 loss_cls: 0.0859 acc: 96.8018 loss_bbox: 0.1179 loss_mask: 0.2204 loss: 0.4419 2022/08/26 17:34:57 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:34:57 - mmengine - INFO - Epoch(train) [97][125/125] lr: 8.0000e-03 eta: 0:55:12 time: 0.3601 data_time: 0.0896 memory: 6583 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0100 loss_cls: 0.0876 acc: 95.0684 loss_bbox: 0.1268 loss_mask: 0.2146 loss: 0.4468 2022/08/26 17:35:02 - mmengine - INFO - Epoch(train) [98][5/125] lr: 8.0000e-03 eta: 0:55:12 time: 0.6067 data_time: 0.3252 memory: 6483 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0104 loss_cls: 0.0830 acc: 96.4844 loss_bbox: 0.1296 loss_mask: 0.1945 loss: 0.4250 2022/08/26 17:35:03 - mmengine - INFO - Epoch(train) [98][10/125] lr: 8.0000e-03 eta: 0:55:05 time: 0.5824 data_time: 0.3091 memory: 6087 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0078 loss_cls: 0.0727 acc: 98.1201 loss_bbox: 0.1059 loss_mask: 0.1946 loss: 0.3877 2022/08/26 17:35:05 - mmengine - INFO - Epoch(train) [98][15/125] lr: 8.0000e-03 eta: 0:55:05 time: 0.3292 data_time: 0.0634 memory: 6392 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0094 loss_cls: 0.0741 acc: 96.1182 loss_bbox: 0.1033 loss_mask: 0.1931 loss: 0.3891 2022/08/26 17:35:07 - mmengine - INFO - Epoch(train) [98][20/125] lr: 8.0000e-03 eta: 0:55:01 time: 0.3729 data_time: 0.0966 memory: 6560 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0125 loss_cls: 0.0851 acc: 96.5088 loss_bbox: 0.1247 loss_mask: 0.1885 loss: 0.4212 2022/08/26 17:35:09 - mmengine - INFO - Epoch(train) [98][25/125] lr: 8.0000e-03 eta: 0:55:01 time: 0.3766 data_time: 0.0931 memory: 6486 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0133 loss_cls: 0.0948 acc: 95.4834 loss_bbox: 0.1321 loss_mask: 0.2042 loss: 0.4563 2022/08/26 17:35:11 - mmengine - INFO - Epoch(train) [98][30/125] lr: 8.0000e-03 eta: 0:54:56 time: 0.4314 data_time: 0.1497 memory: 6734 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0145 loss_cls: 0.0975 acc: 96.7773 loss_bbox: 0.1406 loss_mask: 0.2070 loss: 0.4714 2022/08/26 17:35:14 - mmengine - INFO - Epoch(train) [98][35/125] lr: 8.0000e-03 eta: 0:54:56 time: 0.4837 data_time: 0.1542 memory: 6479 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0136 loss_cls: 0.0897 acc: 96.7041 loss_bbox: 0.1358 loss_mask: 0.1951 loss: 0.4434 2022/08/26 17:35:16 - mmengine - INFO - Epoch(train) [98][40/125] lr: 8.0000e-03 eta: 0:54:52 time: 0.4334 data_time: 0.1039 memory: 6467 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0122 loss_cls: 0.0825 acc: 96.1426 loss_bbox: 0.1218 loss_mask: 0.1857 loss: 0.4107 2022/08/26 17:35:19 - mmengine - INFO - Epoch(train) [98][45/125] lr: 8.0000e-03 eta: 0:54:52 time: 0.5042 data_time: 0.2018 memory: 6630 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0106 loss_cls: 0.0790 acc: 96.8018 loss_bbox: 0.1140 loss_mask: 0.1862 loss: 0.4001 2022/08/26 17:35:22 - mmengine - INFO - Epoch(train) [98][50/125] lr: 8.0000e-03 eta: 0:54:50 time: 0.6521 data_time: 0.3468 memory: 6773 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0089 loss_cls: 0.0783 acc: 97.0703 loss_bbox: 0.1198 loss_mask: 0.1956 loss: 0.4116 2022/08/26 17:35:24 - mmengine - INFO - Epoch(train) [98][55/125] lr: 8.0000e-03 eta: 0:54:50 time: 0.5332 data_time: 0.2570 memory: 6062 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0080 loss_cls: 0.0771 acc: 96.7041 loss_bbox: 0.1194 loss_mask: 0.2040 loss: 0.4142 2022/08/26 17:35:25 - mmengine - INFO - Epoch(train) [98][60/125] lr: 8.0000e-03 eta: 0:54:45 time: 0.3402 data_time: 0.0712 memory: 6307 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0061 loss_cls: 0.0759 acc: 97.5342 loss_bbox: 0.1059 loss_mask: 0.2094 loss: 0.4025 2022/08/26 17:35:28 - mmengine - INFO - Epoch(train) [98][65/125] lr: 8.0000e-03 eta: 0:54:45 time: 0.4431 data_time: 0.1031 memory: 6313 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0075 loss_cls: 0.0782 acc: 97.5098 loss_bbox: 0.1140 loss_mask: 0.2130 loss: 0.4195 2022/08/26 17:35:30 - mmengine - INFO - Epoch(train) [98][70/125] lr: 8.0000e-03 eta: 0:54:41 time: 0.4662 data_time: 0.1210 memory: 6630 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0102 loss_cls: 0.0841 acc: 96.8750 loss_bbox: 0.1356 loss_mask: 0.2110 loss: 0.4488 2022/08/26 17:35:32 - mmengine - INFO - Epoch(train) [98][75/125] lr: 8.0000e-03 eta: 0:54:41 time: 0.3582 data_time: 0.0864 memory: 6217 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0110 loss_cls: 0.0812 acc: 97.0215 loss_bbox: 0.1308 loss_mask: 0.2140 loss: 0.4453 2022/08/26 17:35:34 - mmengine - INFO - Epoch(train) [98][80/125] lr: 8.0000e-03 eta: 0:54:36 time: 0.3338 data_time: 0.0631 memory: 6512 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0113 loss_cls: 0.0822 acc: 98.5107 loss_bbox: 0.1255 loss_mask: 0.2153 loss: 0.4432 2022/08/26 17:35:36 - mmengine - INFO - Epoch(train) [98][85/125] lr: 8.0000e-03 eta: 0:54:36 time: 0.3882 data_time: 0.1128 memory: 6770 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0127 loss_cls: 0.0912 acc: 96.5088 loss_bbox: 0.1463 loss_mask: 0.2085 loss: 0.4678 2022/08/26 17:35:38 - mmengine - INFO - Epoch(train) [98][90/125] lr: 8.0000e-03 eta: 0:54:32 time: 0.4023 data_time: 0.1202 memory: 6701 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0137 loss_cls: 0.0998 acc: 94.4336 loss_bbox: 0.1571 loss_mask: 0.2144 loss: 0.4933 2022/08/26 17:35:39 - mmengine - INFO - Epoch(train) [98][95/125] lr: 8.0000e-03 eta: 0:54:32 time: 0.3722 data_time: 0.0498 memory: 6036 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0111 loss_cls: 0.0900 acc: 97.0703 loss_bbox: 0.1318 loss_mask: 0.2124 loss: 0.4526 2022/08/26 17:35:42 - mmengine - INFO - Epoch(train) [98][100/125] lr: 8.0000e-03 eta: 0:54:28 time: 0.4196 data_time: 0.1037 memory: 6542 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0114 loss_cls: 0.0856 acc: 97.2168 loss_bbox: 0.1271 loss_mask: 0.1995 loss: 0.4332 2022/08/26 17:35:43 - mmengine - INFO - Epoch(train) [98][105/125] lr: 8.0000e-03 eta: 0:54:28 time: 0.3663 data_time: 0.0906 memory: 6620 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0111 loss_cls: 0.0863 acc: 96.5088 loss_bbox: 0.1304 loss_mask: 0.1977 loss: 0.4347 2022/08/26 17:35:45 - mmengine - INFO - Epoch(train) [98][110/125] lr: 8.0000e-03 eta: 0:54:23 time: 0.3131 data_time: 0.0405 memory: 6787 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0103 loss_cls: 0.0807 acc: 98.1201 loss_bbox: 0.1153 loss_mask: 0.2055 loss: 0.4189 2022/08/26 17:35:49 - mmengine - INFO - Epoch(train) [98][115/125] lr: 8.0000e-03 eta: 0:54:23 time: 0.5847 data_time: 0.2297 memory: 6921 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0123 loss_cls: 0.0955 acc: 96.6064 loss_bbox: 0.1392 loss_mask: 0.2131 loss: 0.4691 2022/08/26 17:35:51 - mmengine - INFO - Epoch(train) [98][120/125] lr: 8.0000e-03 eta: 0:54:20 time: 0.5871 data_time: 0.2275 memory: 6549 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0116 loss_cls: 0.0914 acc: 96.0938 loss_bbox: 0.1418 loss_mask: 0.2150 loss: 0.4687 2022/08/26 17:35:52 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:35:52 - mmengine - INFO - Epoch(train) [98][125/125] lr: 8.0000e-03 eta: 0:54:20 time: 0.3214 data_time: 0.0511 memory: 6311 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0095 loss_cls: 0.0762 acc: 96.9238 loss_bbox: 0.1144 loss_mask: 0.2219 loss: 0.4294 2022/08/26 17:35:57 - mmengine - INFO - Epoch(train) [99][5/125] lr: 8.0000e-03 eta: 0:54:20 time: 0.5855 data_time: 0.3168 memory: 6551 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0092 loss_cls: 0.0833 acc: 97.4365 loss_bbox: 0.1202 loss_mask: 0.2245 loss: 0.4442 2022/08/26 17:35:59 - mmengine - INFO - Epoch(train) [99][10/125] lr: 8.0000e-03 eta: 0:54:14 time: 0.6614 data_time: 0.3499 memory: 6360 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0085 loss_cls: 0.0893 acc: 96.8750 loss_bbox: 0.1249 loss_mask: 0.2144 loss: 0.4453 2022/08/26 17:36:01 - mmengine - INFO - Epoch(train) [99][15/125] lr: 8.0000e-03 eta: 0:54:14 time: 0.3892 data_time: 0.0768 memory: 6623 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0101 loss_cls: 0.0926 acc: 97.4609 loss_bbox: 0.1317 loss_mask: 0.2087 loss: 0.4529 2022/08/26 17:36:02 - mmengine - INFO - Epoch(train) [99][20/125] lr: 8.0000e-03 eta: 0:54:09 time: 0.3561 data_time: 0.0795 memory: 6718 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0147 loss_cls: 0.0998 acc: 95.7764 loss_bbox: 0.1501 loss_mask: 0.2126 loss: 0.4875 2022/08/26 17:36:04 - mmengine - INFO - Epoch(train) [99][25/125] lr: 8.0000e-03 eta: 0:54:09 time: 0.3801 data_time: 0.1041 memory: 6601 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0132 loss_cls: 0.0920 acc: 96.6797 loss_bbox: 0.1351 loss_mask: 0.2088 loss: 0.4583 2022/08/26 17:36:06 - mmengine - INFO - Epoch(train) [99][30/125] lr: 8.0000e-03 eta: 0:54:04 time: 0.3707 data_time: 0.0985 memory: 6206 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0089 loss_cls: 0.0757 acc: 97.2168 loss_bbox: 0.1017 loss_mask: 0.1971 loss: 0.3912 2022/08/26 17:36:08 - mmengine - INFO - Epoch(train) [99][35/125] lr: 8.0000e-03 eta: 0:54:04 time: 0.3870 data_time: 0.0782 memory: 6333 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0086 loss_cls: 0.0744 acc: 96.2158 loss_bbox: 0.0999 loss_mask: 0.1921 loss: 0.3806 2022/08/26 17:36:10 - mmengine - INFO - Epoch(train) [99][40/125] lr: 8.0000e-03 eta: 0:54:00 time: 0.3920 data_time: 0.0842 memory: 6463 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0091 loss_cls: 0.0796 acc: 96.9971 loss_bbox: 0.1139 loss_mask: 0.1971 loss: 0.4044 2022/08/26 17:36:12 - mmengine - INFO - Epoch(train) [99][45/125] lr: 8.0000e-03 eta: 0:54:00 time: 0.3505 data_time: 0.0805 memory: 6385 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0090 loss_cls: 0.0783 acc: 98.3398 loss_bbox: 0.1135 loss_mask: 0.1953 loss: 0.4023 2022/08/26 17:36:13 - mmengine - INFO - Epoch(train) [99][50/125] lr: 8.0000e-03 eta: 0:53:55 time: 0.3316 data_time: 0.0600 memory: 6656 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0097 loss_cls: 0.0843 acc: 95.3125 loss_bbox: 0.1198 loss_mask: 0.1981 loss: 0.4209 2022/08/26 17:36:15 - mmengine - INFO - Epoch(train) [99][55/125] lr: 8.0000e-03 eta: 0:53:55 time: 0.3693 data_time: 0.0734 memory: 7637 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0102 loss_cls: 0.0920 acc: 97.9736 loss_bbox: 0.1361 loss_mask: 0.1996 loss: 0.4476 2022/08/26 17:36:17 - mmengine - INFO - Epoch(train) [99][60/125] lr: 8.0000e-03 eta: 0:53:51 time: 0.3806 data_time: 0.0788 memory: 6154 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0107 loss_cls: 0.0946 acc: 96.2402 loss_bbox: 0.1325 loss_mask: 0.1998 loss: 0.4472 2022/08/26 17:36:19 - mmengine - INFO - Epoch(train) [99][65/125] lr: 8.0000e-03 eta: 0:53:51 time: 0.3548 data_time: 0.0601 memory: 6754 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0114 loss_cls: 0.0950 acc: 97.3633 loss_bbox: 0.1375 loss_mask: 0.2167 loss: 0.4689 2022/08/26 17:36:21 - mmengine - INFO - Epoch(train) [99][70/125] lr: 8.0000e-03 eta: 0:53:46 time: 0.3780 data_time: 0.0884 memory: 6953 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0117 loss_cls: 0.0966 acc: 96.9971 loss_bbox: 0.1475 loss_mask: 0.2300 loss: 0.4945 2022/08/26 17:36:23 - mmengine - INFO - Epoch(train) [99][75/125] lr: 8.0000e-03 eta: 0:53:46 time: 0.3625 data_time: 0.0942 memory: 6352 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0101 loss_cls: 0.0828 acc: 96.9971 loss_bbox: 0.1209 loss_mask: 0.2049 loss: 0.4264 2022/08/26 17:36:24 - mmengine - INFO - Epoch(train) [99][80/125] lr: 8.0000e-03 eta: 0:53:42 time: 0.3505 data_time: 0.0829 memory: 6709 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0104 loss_cls: 0.0738 acc: 96.6797 loss_bbox: 0.1143 loss_mask: 0.1838 loss: 0.3885 2022/08/26 17:36:27 - mmengine - INFO - Epoch(train) [99][85/125] lr: 8.0000e-03 eta: 0:53:42 time: 0.4081 data_time: 0.1150 memory: 6702 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0129 loss_cls: 0.0898 acc: 94.8730 loss_bbox: 0.1323 loss_mask: 0.1980 loss: 0.4406 2022/08/26 17:36:28 - mmengine - INFO - Epoch(train) [99][90/125] lr: 8.0000e-03 eta: 0:53:37 time: 0.3920 data_time: 0.0967 memory: 6750 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0118 loss_cls: 0.0898 acc: 97.9736 loss_bbox: 0.1257 loss_mask: 0.2015 loss: 0.4368 2022/08/26 17:36:30 - mmengine - INFO - Epoch(train) [99][95/125] lr: 8.0000e-03 eta: 0:53:37 time: 0.3721 data_time: 0.0973 memory: 6682 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0113 loss_cls: 0.0839 acc: 96.2158 loss_bbox: 0.1254 loss_mask: 0.1998 loss: 0.4301 2022/08/26 17:36:32 - mmengine - INFO - Epoch(train) [99][100/125] lr: 8.0000e-03 eta: 0:53:33 time: 0.3941 data_time: 0.1206 memory: 6521 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0112 loss_cls: 0.0857 acc: 96.7529 loss_bbox: 0.1298 loss_mask: 0.2072 loss: 0.4421 2022/08/26 17:36:34 - mmengine - INFO - Epoch(train) [99][105/125] lr: 8.0000e-03 eta: 0:53:33 time: 0.3738 data_time: 0.1031 memory: 6493 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0084 loss_cls: 0.0757 acc: 97.3633 loss_bbox: 0.1095 loss_mask: 0.1902 loss: 0.3900 2022/08/26 17:36:36 - mmengine - INFO - Epoch(train) [99][110/125] lr: 8.0000e-03 eta: 0:53:28 time: 0.3576 data_time: 0.0826 memory: 6460 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0117 loss_cls: 0.0796 acc: 95.0195 loss_bbox: 0.1130 loss_mask: 0.1924 loss: 0.4059 2022/08/26 17:36:38 - mmengine - INFO - Epoch(train) [99][115/125] lr: 8.0000e-03 eta: 0:53:28 time: 0.4312 data_time: 0.1108 memory: 6499 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0137 loss_cls: 0.0869 acc: 96.2158 loss_bbox: 0.1311 loss_mask: 0.2085 loss: 0.4494 2022/08/26 17:36:40 - mmengine - INFO - Epoch(train) [99][120/125] lr: 8.0000e-03 eta: 0:53:24 time: 0.4292 data_time: 0.1153 memory: 6379 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0087 loss_cls: 0.0857 acc: 96.2891 loss_bbox: 0.1197 loss_mask: 0.2036 loss: 0.4258 2022/08/26 17:36:42 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:36:42 - mmengine - INFO - Epoch(train) [99][125/125] lr: 8.0000e-03 eta: 0:53:24 time: 0.3314 data_time: 0.0641 memory: 6548 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0090 loss_cls: 0.0856 acc: 97.5098 loss_bbox: 0.1197 loss_mask: 0.1995 loss: 0.4223 2022/08/26 17:36:46 - mmengine - INFO - Epoch(train) [100][5/125] lr: 8.0000e-03 eta: 0:53:24 time: 0.5582 data_time: 0.2093 memory: 6343 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0136 loss_cls: 0.0893 acc: 97.8027 loss_bbox: 0.1368 loss_mask: 0.2197 loss: 0.4677 2022/08/26 17:36:48 - mmengine - INFO - Epoch(train) [100][10/125] lr: 8.0000e-03 eta: 0:53:18 time: 0.6264 data_time: 0.2434 memory: 7707 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0135 loss_cls: 0.0846 acc: 97.5342 loss_bbox: 0.1348 loss_mask: 0.2168 loss: 0.4562 2022/08/26 17:36:50 - mmengine - INFO - Epoch(train) [100][15/125] lr: 8.0000e-03 eta: 0:53:18 time: 0.3913 data_time: 0.0906 memory: 6829 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0116 loss_cls: 0.0754 acc: 97.5342 loss_bbox: 0.1197 loss_mask: 0.1975 loss: 0.4104 2022/08/26 17:36:52 - mmengine - INFO - Epoch(train) [100][20/125] lr: 8.0000e-03 eta: 0:53:13 time: 0.3254 data_time: 0.0574 memory: 6245 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0104 loss_cls: 0.0758 acc: 97.4365 loss_bbox: 0.1142 loss_mask: 0.2046 loss: 0.4121 2022/08/26 17:36:53 - mmengine - INFO - Epoch(train) [100][25/125] lr: 8.0000e-03 eta: 0:53:13 time: 0.3178 data_time: 0.0452 memory: 6706 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0102 loss_cls: 0.0829 acc: 97.3145 loss_bbox: 0.1313 loss_mask: 0.2049 loss: 0.4361 2022/08/26 17:36:55 - mmengine - INFO - Epoch(train) [100][30/125] lr: 8.0000e-03 eta: 0:53:09 time: 0.3597 data_time: 0.0849 memory: 6359 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0099 loss_cls: 0.0884 acc: 97.6318 loss_bbox: 0.1361 loss_mask: 0.2048 loss: 0.4454 2022/08/26 17:36:57 - mmengine - INFO - Epoch(train) [100][35/125] lr: 8.0000e-03 eta: 0:53:09 time: 0.3643 data_time: 0.0876 memory: 6601 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0105 loss_cls: 0.0855 acc: 96.3623 loss_bbox: 0.1296 loss_mask: 0.1992 loss: 0.4298 2022/08/26 17:36:59 - mmengine - INFO - Epoch(train) [100][40/125] lr: 8.0000e-03 eta: 0:53:04 time: 0.4241 data_time: 0.0907 memory: 6515 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0129 loss_cls: 0.0837 acc: 98.0957 loss_bbox: 0.1311 loss_mask: 0.1986 loss: 0.4320 2022/08/26 17:37:01 - mmengine - INFO - Epoch(train) [100][45/125] lr: 8.0000e-03 eta: 0:53:04 time: 0.4244 data_time: 0.0979 memory: 6734 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0108 loss_cls: 0.0863 acc: 96.3867 loss_bbox: 0.1308 loss_mask: 0.2033 loss: 0.4396 2022/08/26 17:37:03 - mmengine - INFO - Epoch(train) [100][50/125] lr: 8.0000e-03 eta: 0:53:00 time: 0.3694 data_time: 0.0997 memory: 6545 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0093 loss_cls: 0.0851 acc: 95.9961 loss_bbox: 0.1265 loss_mask: 0.2060 loss: 0.4358 2022/08/26 17:37:05 - mmengine - INFO - Epoch(train) [100][55/125] lr: 8.0000e-03 eta: 0:53:00 time: 0.3621 data_time: 0.0923 memory: 6551 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0094 loss_cls: 0.0748 acc: 97.6074 loss_bbox: 0.1094 loss_mask: 0.2014 loss: 0.4006 2022/08/26 17:37:07 - mmengine - INFO - Epoch(train) [100][60/125] lr: 8.0000e-03 eta: 0:52:55 time: 0.3614 data_time: 0.0911 memory: 6698 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0112 loss_cls: 0.0780 acc: 94.7998 loss_bbox: 0.1124 loss_mask: 0.1998 loss: 0.4060 2022/08/26 17:37:09 - mmengine - INFO - Epoch(train) [100][65/125] lr: 8.0000e-03 eta: 0:52:55 time: 0.3816 data_time: 0.0957 memory: 6246 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0113 loss_cls: 0.0859 acc: 97.1680 loss_bbox: 0.1232 loss_mask: 0.1995 loss: 0.4264 2022/08/26 17:37:10 - mmengine - INFO - Epoch(train) [100][70/125] lr: 8.0000e-03 eta: 0:52:51 time: 0.3509 data_time: 0.0694 memory: 6343 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0080 loss_cls: 0.0789 acc: 97.4121 loss_bbox: 0.1176 loss_mask: 0.1901 loss: 0.4016 2022/08/26 17:37:12 - mmengine - INFO - Epoch(train) [100][75/125] lr: 8.0000e-03 eta: 0:52:51 time: 0.3884 data_time: 0.0904 memory: 8152 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0111 loss_cls: 0.0871 acc: 96.4600 loss_bbox: 0.1374 loss_mask: 0.1846 loss: 0.4266 2022/08/26 17:37:15 - mmengine - INFO - Epoch(train) [100][80/125] lr: 8.0000e-03 eta: 0:52:47 time: 0.4500 data_time: 0.0916 memory: 6642 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0123 loss_cls: 0.0902 acc: 96.9971 loss_bbox: 0.1332 loss_mask: 0.1882 loss: 0.4312 2022/08/26 17:37:16 - mmengine - INFO - Epoch(train) [100][85/125] lr: 8.0000e-03 eta: 0:52:47 time: 0.3927 data_time: 0.0659 memory: 6124 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0084 loss_cls: 0.0822 acc: 95.8984 loss_bbox: 0.1166 loss_mask: 0.1983 loss: 0.4138 2022/08/26 17:37:18 - mmengine - INFO - Epoch(train) [100][90/125] lr: 8.0000e-03 eta: 0:52:42 time: 0.3575 data_time: 0.0901 memory: 6509 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0094 loss_cls: 0.0840 acc: 98.5596 loss_bbox: 0.1226 loss_mask: 0.2018 loss: 0.4268 2022/08/26 17:37:20 - mmengine - INFO - Epoch(train) [100][95/125] lr: 8.0000e-03 eta: 0:52:42 time: 0.3954 data_time: 0.1207 memory: 6879 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0148 loss_cls: 0.0911 acc: 95.5078 loss_bbox: 0.1379 loss_mask: 0.2061 loss: 0.4569 2022/08/26 17:37:22 - mmengine - INFO - Epoch(train) [100][100/125] lr: 8.0000e-03 eta: 0:52:38 time: 0.3651 data_time: 0.0908 memory: 6758 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0145 loss_cls: 0.0923 acc: 96.7529 loss_bbox: 0.1400 loss_mask: 0.2067 loss: 0.4654 2022/08/26 17:37:24 - mmengine - INFO - Epoch(train) [100][105/125] lr: 8.0000e-03 eta: 0:52:38 time: 0.4112 data_time: 0.1041 memory: 6252 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0111 loss_cls: 0.0807 acc: 97.2656 loss_bbox: 0.1143 loss_mask: 0.2088 loss: 0.4321 2022/08/26 17:37:26 - mmengine - INFO - Epoch(train) [100][110/125] lr: 8.0000e-03 eta: 0:52:33 time: 0.4080 data_time: 0.0955 memory: 6503 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0104 loss_cls: 0.0764 acc: 95.8984 loss_bbox: 0.1021 loss_mask: 0.1944 loss: 0.3953 2022/08/26 17:37:28 - mmengine - INFO - Epoch(train) [100][115/125] lr: 8.0000e-03 eta: 0:52:33 time: 0.3669 data_time: 0.0720 memory: 6199 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0107 loss_cls: 0.0777 acc: 97.5586 loss_bbox: 0.1078 loss_mask: 0.1897 loss: 0.3933 2022/08/26 17:37:30 - mmengine - INFO - Epoch(train) [100][120/125] lr: 8.0000e-03 eta: 0:52:29 time: 0.3894 data_time: 0.1034 memory: 6116 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0097 loss_cls: 0.0771 acc: 98.2910 loss_bbox: 0.1087 loss_mask: 0.2146 loss: 0.4176 2022/08/26 17:37:32 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:37:32 - mmengine - INFO - Epoch(train) [100][125/125] lr: 8.0000e-03 eta: 0:52:29 time: 0.3480 data_time: 0.0808 memory: 6330 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0087 loss_cls: 0.0792 acc: 96.6797 loss_bbox: 0.1156 loss_mask: 0.2197 loss: 0.4311 2022/08/26 17:37:32 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/26 17:37:39 - mmengine - INFO - Epoch(val) [100][5/500] eta: 0:52:29 time: 0.0985 data_time: 0.0070 memory: 1506 2022/08/26 17:37:40 - mmengine - INFO - Epoch(val) [100][10/500] eta: 0:00:54 time: 0.1110 data_time: 0.0093 memory: 1522 2022/08/26 17:37:40 - mmengine - INFO - Epoch(val) [100][15/500] eta: 0:00:54 time: 0.0870 data_time: 0.0045 memory: 1472 2022/08/26 17:37:41 - mmengine - INFO - Epoch(val) [100][20/500] eta: 0:00:35 time: 0.0746 data_time: 0.0021 memory: 1320 2022/08/26 17:37:41 - mmengine - INFO - Epoch(val) [100][25/500] eta: 0:00:35 time: 0.0661 data_time: 0.0022 memory: 1320 2022/08/26 17:37:41 - mmengine - INFO - Epoch(val) [100][30/500] eta: 0:00:29 time: 0.0634 data_time: 0.0022 memory: 1320 2022/08/26 17:37:42 - mmengine - INFO - Epoch(val) [100][35/500] eta: 0:00:29 time: 0.0703 data_time: 0.0022 memory: 1320 2022/08/26 17:37:42 - mmengine - INFO - Epoch(val) [100][40/500] eta: 0:00:33 time: 0.0739 data_time: 0.0023 memory: 1337 2022/08/26 17:37:42 - mmengine - INFO - Epoch(val) [100][45/500] eta: 0:00:33 time: 0.0679 data_time: 0.0023 memory: 1522 2022/08/26 17:37:43 - mmengine - INFO - Epoch(val) [100][50/500] eta: 0:00:30 time: 0.0678 data_time: 0.0021 memory: 1370 2022/08/26 17:37:43 - mmengine - INFO - Epoch(val) [100][55/500] eta: 0:00:30 time: 0.0664 data_time: 0.0019 memory: 1354 2022/08/26 17:37:43 - mmengine - INFO - Epoch(val) [100][60/500] eta: 0:00:30 time: 0.0698 data_time: 0.0019 memory: 1320 2022/08/26 17:37:44 - mmengine - INFO - Epoch(val) [100][65/500] eta: 0:00:30 time: 0.0769 data_time: 0.0020 memory: 1370 2022/08/26 17:37:44 - mmengine - INFO - Epoch(val) [100][70/500] eta: 0:00:32 time: 0.0757 data_time: 0.0021 memory: 1522 2022/08/26 17:37:44 - mmengine - INFO - Epoch(val) [100][75/500] eta: 0:00:32 time: 0.0773 data_time: 0.0036 memory: 1387 2022/08/26 17:37:45 - mmengine - INFO - Epoch(val) [100][80/500] eta: 0:00:31 time: 0.0758 data_time: 0.0058 memory: 1320 2022/08/26 17:37:45 - mmengine - INFO - Epoch(val) [100][85/500] eta: 0:00:31 time: 0.0677 data_time: 0.0044 memory: 1320 2022/08/26 17:37:46 - mmengine - INFO - Epoch(val) [100][90/500] eta: 0:00:28 time: 0.0686 data_time: 0.0022 memory: 1522 2022/08/26 17:37:46 - mmengine - INFO - Epoch(val) [100][95/500] eta: 0:00:28 time: 0.0779 data_time: 0.0043 memory: 1337 2022/08/26 17:37:46 - mmengine - INFO - Epoch(val) [100][100/500] eta: 0:00:28 time: 0.0725 data_time: 0.0044 memory: 1506 2022/08/26 17:37:47 - mmengine - INFO - Epoch(val) [100][105/500] eta: 0:00:28 time: 0.0642 data_time: 0.0023 memory: 1320 2022/08/26 17:37:47 - mmengine - INFO - Epoch(val) [100][110/500] eta: 0:00:25 time: 0.0653 data_time: 0.0020 memory: 1522 2022/08/26 17:37:47 - mmengine - INFO - Epoch(val) [100][115/500] eta: 0:00:25 time: 0.0644 data_time: 0.0021 memory: 1320 2022/08/26 17:37:48 - mmengine - INFO - Epoch(val) [100][120/500] eta: 0:00:27 time: 0.0736 data_time: 0.0036 memory: 1320 2022/08/26 17:37:48 - mmengine - INFO - Epoch(val) [100][125/500] eta: 0:00:27 time: 0.0858 data_time: 0.0037 memory: 1522 2022/08/26 17:37:48 - mmengine - INFO - Epoch(val) [100][130/500] eta: 0:00:28 time: 0.0780 data_time: 0.0026 memory: 1320 2022/08/26 17:37:49 - mmengine - INFO - Epoch(val) [100][135/500] eta: 0:00:28 time: 0.0702 data_time: 0.0026 memory: 1387 2022/08/26 17:37:49 - mmengine - INFO - Epoch(val) [100][140/500] eta: 0:00:26 time: 0.0743 data_time: 0.0024 memory: 1320 2022/08/26 17:37:49 - mmengine - INFO - Epoch(val) [100][145/500] eta: 0:00:26 time: 0.0710 data_time: 0.0024 memory: 1506 2022/08/26 17:37:50 - mmengine - INFO - Epoch(val) [100][150/500] eta: 0:00:23 time: 0.0671 data_time: 0.0022 memory: 1320 2022/08/26 17:37:50 - mmengine - INFO - Epoch(val) [100][155/500] eta: 0:00:23 time: 0.0691 data_time: 0.0020 memory: 1454 2022/08/26 17:37:51 - mmengine - INFO - Epoch(val) [100][160/500] eta: 0:00:23 time: 0.0685 data_time: 0.0019 memory: 1522 2022/08/26 17:37:51 - mmengine - INFO - Epoch(val) [100][165/500] eta: 0:00:23 time: 0.0671 data_time: 0.0020 memory: 1354 2022/08/26 17:37:51 - mmengine - INFO - Epoch(val) [100][170/500] eta: 0:00:23 time: 0.0699 data_time: 0.0023 memory: 1472 2022/08/26 17:37:52 - mmengine - INFO - Epoch(val) [100][175/500] eta: 0:00:23 time: 0.0696 data_time: 0.0025 memory: 1522 2022/08/26 17:37:52 - mmengine - INFO - Epoch(val) [100][180/500] eta: 0:00:21 time: 0.0686 data_time: 0.0024 memory: 1522 2022/08/26 17:37:52 - mmengine - INFO - Epoch(val) [100][185/500] eta: 0:00:21 time: 0.0663 data_time: 0.0022 memory: 1320 2022/08/26 17:37:53 - mmengine - INFO - Epoch(val) [100][190/500] eta: 0:00:19 time: 0.0639 data_time: 0.0022 memory: 1370 2022/08/26 17:37:53 - mmengine - INFO - Epoch(val) [100][195/500] eta: 0:00:19 time: 0.0651 data_time: 0.0024 memory: 1354 2022/08/26 17:37:53 - mmengine - INFO - Epoch(val) [100][200/500] eta: 0:00:18 time: 0.0626 data_time: 0.0022 memory: 1354 2022/08/26 17:37:53 - mmengine - INFO - Epoch(val) [100][205/500] eta: 0:00:18 time: 0.0620 data_time: 0.0019 memory: 1320 2022/08/26 17:37:54 - mmengine - INFO - Epoch(val) [100][210/500] eta: 0:00:19 time: 0.0681 data_time: 0.0019 memory: 1522 2022/08/26 17:37:54 - mmengine - INFO - Epoch(val) [100][215/500] eta: 0:00:19 time: 0.0674 data_time: 0.0019 memory: 1320 2022/08/26 17:37:54 - mmengine - INFO - Epoch(val) [100][220/500] eta: 0:00:17 time: 0.0630 data_time: 0.0019 memory: 1387 2022/08/26 17:37:55 - mmengine - INFO - Epoch(val) [100][225/500] eta: 0:00:17 time: 0.0653 data_time: 0.0021 memory: 1522 2022/08/26 17:37:55 - mmengine - INFO - Epoch(val) [100][230/500] eta: 0:00:21 time: 0.0796 data_time: 0.0023 memory: 1320 2022/08/26 17:37:56 - mmengine - INFO - Epoch(val) [100][235/500] eta: 0:00:21 time: 0.0855 data_time: 0.0064 memory: 1522 2022/08/26 17:37:56 - mmengine - INFO - Epoch(val) [100][240/500] eta: 0:00:19 time: 0.0755 data_time: 0.0064 memory: 1522 2022/08/26 17:37:56 - mmengine - INFO - Epoch(val) [100][245/500] eta: 0:00:19 time: 0.0692 data_time: 0.0023 memory: 1522 2022/08/26 17:37:57 - mmengine - INFO - Epoch(val) [100][250/500] eta: 0:00:16 time: 0.0675 data_time: 0.0022 memory: 1320 2022/08/26 17:37:58 - mmengine - INFO - Epoch(val) [100][255/500] eta: 0:00:16 time: 0.1121 data_time: 0.0020 memory: 1337 2022/08/26 17:37:58 - mmengine - INFO - Epoch(val) [100][260/500] eta: 0:00:40 time: 0.1700 data_time: 0.0190 memory: 1320 2022/08/26 17:37:59 - mmengine - INFO - Epoch(val) [100][265/500] eta: 0:00:40 time: 0.1261 data_time: 0.0190 memory: 1472 2022/08/26 17:37:59 - mmengine - INFO - Epoch(val) [100][270/500] eta: 0:00:14 time: 0.0649 data_time: 0.0019 memory: 1438 2022/08/26 17:37:59 - mmengine - INFO - Epoch(val) [100][275/500] eta: 0:00:14 time: 0.0677 data_time: 0.0018 memory: 1506 2022/08/26 17:38:00 - mmengine - INFO - Epoch(val) [100][280/500] eta: 0:00:14 time: 0.0670 data_time: 0.0020 memory: 1489 2022/08/26 17:38:00 - mmengine - INFO - Epoch(val) [100][285/500] eta: 0:00:14 time: 0.0767 data_time: 0.0045 memory: 1320 2022/08/26 17:38:01 - mmengine - INFO - Epoch(val) [100][290/500] eta: 0:00:17 time: 0.0828 data_time: 0.0049 memory: 1522 2022/08/26 17:38:01 - mmengine - INFO - Epoch(val) [100][295/500] eta: 0:00:17 time: 0.0692 data_time: 0.0026 memory: 1370 2022/08/26 17:38:01 - mmengine - INFO - Epoch(val) [100][300/500] eta: 0:00:13 time: 0.0662 data_time: 0.0022 memory: 1320 2022/08/26 17:38:01 - mmengine - INFO - Epoch(val) [100][305/500] eta: 0:00:13 time: 0.0608 data_time: 0.0021 memory: 1303 2022/08/26 17:38:02 - mmengine - INFO - Epoch(val) [100][310/500] eta: 0:00:11 time: 0.0583 data_time: 0.0021 memory: 1354 2022/08/26 17:38:02 - mmengine - INFO - Epoch(val) [100][315/500] eta: 0:00:11 time: 0.0673 data_time: 0.0022 memory: 1472 2022/08/26 17:38:03 - mmengine - INFO - Epoch(val) [100][320/500] eta: 0:00:13 time: 0.0733 data_time: 0.0022 memory: 1472 2022/08/26 17:38:03 - mmengine - INFO - Epoch(val) [100][325/500] eta: 0:00:13 time: 0.0731 data_time: 0.0022 memory: 1522 2022/08/26 17:38:03 - mmengine - INFO - Epoch(val) [100][330/500] eta: 0:00:12 time: 0.0727 data_time: 0.0024 memory: 1320 2022/08/26 17:38:04 - mmengine - INFO - Epoch(val) [100][335/500] eta: 0:00:12 time: 0.0723 data_time: 0.0024 memory: 1438 2022/08/26 17:38:04 - mmengine - INFO - Epoch(val) [100][340/500] eta: 0:00:11 time: 0.0724 data_time: 0.0025 memory: 1506 2022/08/26 17:38:04 - mmengine - INFO - Epoch(val) [100][345/500] eta: 0:00:11 time: 0.0670 data_time: 0.0025 memory: 1438 2022/08/26 17:38:05 - mmengine - INFO - Epoch(val) [100][350/500] eta: 0:00:10 time: 0.0675 data_time: 0.0021 memory: 1320 2022/08/26 17:38:05 - mmengine - INFO - Epoch(val) [100][355/500] eta: 0:00:10 time: 0.0760 data_time: 0.0019 memory: 1506 2022/08/26 17:38:05 - mmengine - INFO - Epoch(val) [100][360/500] eta: 0:00:09 time: 0.0687 data_time: 0.0020 memory: 1337 2022/08/26 17:38:06 - mmengine - INFO - Epoch(val) [100][365/500] eta: 0:00:09 time: 0.0629 data_time: 0.0021 memory: 1252 2022/08/26 17:38:06 - mmengine - INFO - Epoch(val) [100][370/500] eta: 0:00:08 time: 0.0650 data_time: 0.0042 memory: 1387 2022/08/26 17:38:06 - mmengine - INFO - Epoch(val) [100][375/500] eta: 0:00:08 time: 0.0608 data_time: 0.0042 memory: 1320 2022/08/26 17:38:07 - mmengine - INFO - Epoch(val) [100][380/500] eta: 0:00:08 time: 0.0667 data_time: 0.0021 memory: 1506 2022/08/26 17:38:07 - mmengine - INFO - Epoch(val) [100][385/500] eta: 0:00:08 time: 0.0707 data_time: 0.0022 memory: 1489 2022/08/26 17:38:07 - mmengine - INFO - Epoch(val) [100][390/500] eta: 0:00:08 time: 0.0749 data_time: 0.0046 memory: 1522 2022/08/26 17:38:08 - mmengine - INFO - Epoch(val) [100][395/500] eta: 0:00:08 time: 0.0990 data_time: 0.0046 memory: 1320 2022/08/26 17:38:09 - mmengine - INFO - Epoch(val) [100][400/500] eta: 0:00:10 time: 0.1091 data_time: 0.0022 memory: 1506 2022/08/26 17:38:09 - mmengine - INFO - Epoch(val) [100][405/500] eta: 0:00:10 time: 0.1368 data_time: 0.0150 memory: 1489 2022/08/26 17:38:10 - mmengine - INFO - Epoch(val) [100][410/500] eta: 0:00:10 time: 0.1219 data_time: 0.0150 memory: 1387 2022/08/26 17:38:10 - mmengine - INFO - Epoch(val) [100][415/500] eta: 0:00:10 time: 0.0792 data_time: 0.0022 memory: 1320 2022/08/26 17:38:11 - mmengine - INFO - Epoch(val) [100][420/500] eta: 0:00:06 time: 0.0852 data_time: 0.0023 memory: 1489 2022/08/26 17:38:11 - mmengine - INFO - Epoch(val) [100][425/500] eta: 0:00:06 time: 0.0790 data_time: 0.0022 memory: 1320 2022/08/26 17:38:11 - mmengine - INFO - Epoch(val) [100][430/500] eta: 0:00:04 time: 0.0673 data_time: 0.0021 memory: 1522 2022/08/26 17:38:12 - mmengine - INFO - Epoch(val) [100][435/500] eta: 0:00:04 time: 0.0672 data_time: 0.0021 memory: 1320 2022/08/26 17:38:12 - mmengine - INFO - Epoch(val) [100][440/500] eta: 0:00:04 time: 0.0688 data_time: 0.0021 memory: 1404 2022/08/26 17:38:12 - mmengine - INFO - Epoch(val) [100][445/500] eta: 0:00:04 time: 0.0679 data_time: 0.0022 memory: 1472 2022/08/26 17:38:13 - mmengine - INFO - Epoch(val) [100][450/500] eta: 0:00:03 time: 0.0659 data_time: 0.0022 memory: 1320 2022/08/26 17:38:13 - mmengine - INFO - Epoch(val) [100][455/500] eta: 0:00:03 time: 0.0650 data_time: 0.0021 memory: 1522 2022/08/26 17:38:13 - mmengine - INFO - Epoch(val) [100][460/500] eta: 0:00:02 time: 0.0657 data_time: 0.0021 memory: 1354 2022/08/26 17:38:14 - mmengine - INFO - Epoch(val) [100][465/500] eta: 0:00:02 time: 0.0637 data_time: 0.0021 memory: 1454 2022/08/26 17:38:14 - mmengine - INFO - Epoch(val) [100][470/500] eta: 0:00:01 time: 0.0627 data_time: 0.0021 memory: 1354 2022/08/26 17:38:14 - mmengine - INFO - Epoch(val) [100][475/500] eta: 0:00:01 time: 0.0662 data_time: 0.0021 memory: 1522 2022/08/26 17:38:15 - mmengine - INFO - Epoch(val) [100][480/500] eta: 0:00:01 time: 0.0691 data_time: 0.0023 memory: 1489 2022/08/26 17:38:15 - mmengine - INFO - Epoch(val) [100][485/500] eta: 0:00:01 time: 0.0645 data_time: 0.0023 memory: 1320 2022/08/26 17:38:15 - mmengine - INFO - Epoch(val) [100][490/500] eta: 0:00:00 time: 0.0615 data_time: 0.0020 memory: 1454 2022/08/26 17:38:16 - mmengine - INFO - Epoch(val) [100][495/500] eta: 0:00:00 time: 0.0646 data_time: 0.0021 memory: 1522 2022/08/26 17:38:16 - mmengine - INFO - Epoch(val) [100][500/500] eta: 0:00:00 time: 0.0632 data_time: 0.0021 memory: 1320 2022/08/26 17:38:16 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:38:16 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8790, precision: 0.4789, hmean: 0.6200 2022/08/26 17:38:16 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8683, precision: 0.5318, hmean: 0.6596 2022/08/26 17:38:16 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8533, precision: 0.5732, hmean: 0.6857 2022/08/26 17:38:16 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8393, precision: 0.6102, hmean: 0.7066 2022/08/26 17:38:16 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8211, precision: 0.6474, hmean: 0.7240 2022/08/26 17:38:16 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7912, precision: 0.6949, hmean: 0.7400 2022/08/26 17:38:16 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7236, precision: 0.7558, hmean: 0.7393 2022/08/26 17:38:16 - mmengine - INFO - Epoch(val) [100][500/500] icdar/precision: 0.6949 icdar/recall: 0.7912 icdar/hmean: 0.7400 2022/08/26 17:38:20 - mmengine - INFO - Epoch(train) [101][5/125] lr: 8.0000e-03 eta: 0:00:00 time: 0.5315 data_time: 0.1636 memory: 6151 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0101 loss_cls: 0.0807 acc: 98.2666 loss_bbox: 0.1186 loss_mask: 0.2222 loss: 0.4400 2022/08/26 17:38:22 - mmengine - INFO - Epoch(train) [101][10/125] lr: 8.0000e-03 eta: 0:52:22 time: 0.5673 data_time: 0.1690 memory: 7799 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0121 loss_cls: 0.0929 acc: 95.7764 loss_bbox: 0.1401 loss_mask: 0.2171 loss: 0.4713 2022/08/26 17:38:24 - mmengine - INFO - Epoch(train) [101][15/125] lr: 8.0000e-03 eta: 0:52:22 time: 0.3655 data_time: 0.0663 memory: 6143 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0105 loss_cls: 0.0894 acc: 98.5107 loss_bbox: 0.1348 loss_mask: 0.2046 loss: 0.4464 2022/08/26 17:38:25 - mmengine - INFO - Epoch(train) [101][20/125] lr: 8.0000e-03 eta: 0:52:18 time: 0.3285 data_time: 0.0605 memory: 6425 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0078 loss_cls: 0.0739 acc: 98.0469 loss_bbox: 0.1051 loss_mask: 0.1960 loss: 0.3884 2022/08/26 17:38:28 - mmengine - INFO - Epoch(train) [101][25/125] lr: 8.0000e-03 eta: 0:52:18 time: 0.3884 data_time: 0.1121 memory: 6232 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0076 loss_cls: 0.0763 acc: 99.1699 loss_bbox: 0.1076 loss_mask: 0.1931 loss: 0.3902 2022/08/26 17:38:30 - mmengine - INFO - Epoch(train) [101][30/125] lr: 8.0000e-03 eta: 0:52:13 time: 0.4276 data_time: 0.1485 memory: 6692 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0094 loss_cls: 0.0891 acc: 95.5078 loss_bbox: 0.1266 loss_mask: 0.1985 loss: 0.4305 2022/08/26 17:38:31 - mmengine - INFO - Epoch(train) [101][35/125] lr: 8.0000e-03 eta: 0:52:13 time: 0.3710 data_time: 0.0950 memory: 6472 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0115 loss_cls: 0.0925 acc: 95.0684 loss_bbox: 0.1369 loss_mask: 0.2091 loss: 0.4577 2022/08/26 17:38:33 - mmengine - INFO - Epoch(train) [101][40/125] lr: 8.0000e-03 eta: 0:52:09 time: 0.3392 data_time: 0.0625 memory: 6689 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0148 loss_cls: 0.0933 acc: 94.4092 loss_bbox: 0.1362 loss_mask: 0.2145 loss: 0.4665 2022/08/26 17:38:35 - mmengine - INFO - Epoch(train) [101][45/125] lr: 8.0000e-03 eta: 0:52:09 time: 0.3571 data_time: 0.0800 memory: 6532 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0136 loss_cls: 0.0930 acc: 96.7041 loss_bbox: 0.1292 loss_mask: 0.2102 loss: 0.4545 2022/08/26 17:38:37 - mmengine - INFO - Epoch(train) [101][50/125] lr: 8.0000e-03 eta: 0:52:04 time: 0.3629 data_time: 0.0877 memory: 6392 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0104 loss_cls: 0.0832 acc: 95.8496 loss_bbox: 0.1163 loss_mask: 0.2127 loss: 0.4298 2022/08/26 17:38:39 - mmengine - INFO - Epoch(train) [101][55/125] lr: 8.0000e-03 eta: 0:52:04 time: 0.4117 data_time: 0.0694 memory: 6248 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0099 loss_cls: 0.0785 acc: 97.7051 loss_bbox: 0.1088 loss_mask: 0.1972 loss: 0.4001 2022/08/26 17:38:41 - mmengine - INFO - Epoch(train) [101][60/125] lr: 8.0000e-03 eta: 0:52:00 time: 0.4457 data_time: 0.1067 memory: 6258 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0091 loss_cls: 0.0772 acc: 95.9717 loss_bbox: 0.1059 loss_mask: 0.1823 loss: 0.3798 2022/08/26 17:38:46 - mmengine - INFO - Epoch(train) [101][65/125] lr: 8.0000e-03 eta: 0:52:00 time: 0.7137 data_time: 0.3616 memory: 6620 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0103 loss_cls: 0.0846 acc: 97.8271 loss_bbox: 0.1187 loss_mask: 0.1901 loss: 0.4122 2022/08/26 17:38:48 - mmengine - INFO - Epoch(train) [101][70/125] lr: 8.0000e-03 eta: 0:51:58 time: 0.6777 data_time: 0.3228 memory: 6525 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0096 loss_cls: 0.0767 acc: 96.1914 loss_bbox: 0.1100 loss_mask: 0.1840 loss: 0.3886 2022/08/26 17:38:50 - mmengine - INFO - Epoch(train) [101][75/125] lr: 8.0000e-03 eta: 0:51:58 time: 0.3701 data_time: 0.0704 memory: 6779 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0104 loss_cls: 0.0808 acc: 96.2891 loss_bbox: 0.1193 loss_mask: 0.1912 loss: 0.4094 2022/08/26 17:38:52 - mmengine - INFO - Epoch(train) [101][80/125] lr: 8.0000e-03 eta: 0:51:53 time: 0.3999 data_time: 0.0998 memory: 6294 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0101 loss_cls: 0.0897 acc: 97.1680 loss_bbox: 0.1286 loss_mask: 0.2099 loss: 0.4463 2022/08/26 17:38:54 - mmengine - INFO - Epoch(train) [101][85/125] lr: 8.0000e-03 eta: 0:51:53 time: 0.3820 data_time: 0.1108 memory: 6591 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0089 loss_cls: 0.0796 acc: 97.8027 loss_bbox: 0.1187 loss_mask: 0.2016 loss: 0.4152 2022/08/26 17:38:55 - mmengine - INFO - Epoch(train) [101][90/125] lr: 8.0000e-03 eta: 0:51:49 time: 0.3568 data_time: 0.0923 memory: 6005 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0076 loss_cls: 0.0695 acc: 97.7051 loss_bbox: 0.1043 loss_mask: 0.1947 loss: 0.3822 2022/08/26 17:38:57 - mmengine - INFO - Epoch(train) [101][95/125] lr: 8.0000e-03 eta: 0:51:49 time: 0.3550 data_time: 0.0856 memory: 6630 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0083 loss_cls: 0.0775 acc: 94.7510 loss_bbox: 0.1127 loss_mask: 0.2050 loss: 0.4109 2022/08/26 17:38:59 - mmengine - INFO - Epoch(train) [101][100/125] lr: 8.0000e-03 eta: 0:51:44 time: 0.3995 data_time: 0.1177 memory: 6688 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0113 loss_cls: 0.0897 acc: 94.7998 loss_bbox: 0.1336 loss_mask: 0.2014 loss: 0.4459 2022/08/26 17:39:02 - mmengine - INFO - Epoch(train) [101][105/125] lr: 8.0000e-03 eta: 0:51:44 time: 0.4398 data_time: 0.1338 memory: 6806 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0126 loss_cls: 0.0957 acc: 98.0225 loss_bbox: 0.1432 loss_mask: 0.1999 loss: 0.4609 2022/08/26 17:39:04 - mmengine - INFO - Epoch(train) [101][110/125] lr: 8.0000e-03 eta: 0:51:41 time: 0.4983 data_time: 0.2006 memory: 6045 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0105 loss_cls: 0.0911 acc: 96.7529 loss_bbox: 0.1288 loss_mask: 0.2043 loss: 0.4427 2022/08/26 17:39:06 - mmengine - INFO - Epoch(train) [101][115/125] lr: 8.0000e-03 eta: 0:51:41 time: 0.4425 data_time: 0.1718 memory: 6451 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0083 loss_cls: 0.0757 acc: 96.7285 loss_bbox: 0.1016 loss_mask: 0.2036 loss: 0.3973 2022/08/26 17:39:08 - mmengine - INFO - Epoch(train) [101][120/125] lr: 8.0000e-03 eta: 0:51:36 time: 0.3518 data_time: 0.0596 memory: 6597 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0111 loss_cls: 0.0821 acc: 96.3379 loss_bbox: 0.1149 loss_mask: 0.2029 loss: 0.4191 2022/08/26 17:39:10 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:39:10 - mmengine - INFO - Epoch(train) [101][125/125] lr: 8.0000e-03 eta: 0:51:36 time: 0.3795 data_time: 0.0815 memory: 6415 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0117 loss_cls: 0.0989 acc: 98.1445 loss_bbox: 0.1339 loss_mask: 0.2104 loss: 0.4631 2022/08/26 17:39:13 - mmengine - INFO - Epoch(train) [102][5/125] lr: 8.0000e-03 eta: 0:51:36 time: 0.5168 data_time: 0.2254 memory: 6730 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0115 loss_cls: 0.1041 acc: 95.2881 loss_bbox: 0.1428 loss_mask: 0.2185 loss: 0.4853 2022/08/26 17:39:16 - mmengine - INFO - Epoch(train) [102][10/125] lr: 8.0000e-03 eta: 0:51:29 time: 0.5763 data_time: 0.2467 memory: 6836 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0103 loss_cls: 0.0883 acc: 98.2666 loss_bbox: 0.1275 loss_mask: 0.2045 loss: 0.4363 2022/08/26 17:39:18 - mmengine - INFO - Epoch(train) [102][15/125] lr: 8.0000e-03 eta: 0:51:29 time: 0.4730 data_time: 0.1521 memory: 6787 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0093 loss_cls: 0.0844 acc: 95.3369 loss_bbox: 0.1259 loss_mask: 0.2036 loss: 0.4286 2022/08/26 17:39:21 - mmengine - INFO - Epoch(train) [102][20/125] lr: 8.0000e-03 eta: 0:51:26 time: 0.4824 data_time: 0.2029 memory: 6776 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0134 loss_cls: 0.0951 acc: 94.7754 loss_bbox: 0.1442 loss_mask: 0.2107 loss: 0.4718 2022/08/26 17:39:23 - mmengine - INFO - Epoch(train) [102][25/125] lr: 8.0000e-03 eta: 0:51:26 time: 0.4620 data_time: 0.1857 memory: 6379 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0135 loss_cls: 0.0967 acc: 97.0215 loss_bbox: 0.1416 loss_mask: 0.2094 loss: 0.4743 2022/08/26 17:39:24 - mmengine - INFO - Epoch(train) [102][30/125] lr: 8.0000e-03 eta: 0:51:21 time: 0.3803 data_time: 0.1099 memory: 6209 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0121 loss_cls: 0.0929 acc: 95.9229 loss_bbox: 0.1297 loss_mask: 0.2238 loss: 0.4715 2022/08/26 17:39:27 - mmengine - INFO - Epoch(train) [102][35/125] lr: 8.0000e-03 eta: 0:51:21 time: 0.3859 data_time: 0.1133 memory: 6685 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0118 loss_cls: 0.0896 acc: 95.6787 loss_bbox: 0.1262 loss_mask: 0.2272 loss: 0.4653 2022/08/26 17:39:29 - mmengine - INFO - Epoch(train) [102][40/125] lr: 8.0000e-03 eta: 0:51:17 time: 0.4508 data_time: 0.0901 memory: 6386 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0094 loss_cls: 0.0849 acc: 97.7295 loss_bbox: 0.1193 loss_mask: 0.2025 loss: 0.4239 2022/08/26 17:39:31 - mmengine - INFO - Epoch(train) [102][45/125] lr: 8.0000e-03 eta: 0:51:17 time: 0.4143 data_time: 0.0614 memory: 6282 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0085 loss_cls: 0.0793 acc: 95.2637 loss_bbox: 0.1076 loss_mask: 0.1918 loss: 0.3923 2022/08/26 17:39:32 - mmengine - INFO - Epoch(train) [102][50/125] lr: 8.0000e-03 eta: 0:51:12 time: 0.3434 data_time: 0.0781 memory: 6577 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0084 loss_cls: 0.0748 acc: 96.8750 loss_bbox: 0.1052 loss_mask: 0.1958 loss: 0.3896 2022/08/26 17:39:34 - mmengine - INFO - Epoch(train) [102][55/125] lr: 8.0000e-03 eta: 0:51:12 time: 0.3589 data_time: 0.0902 memory: 6529 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0081 loss_cls: 0.0740 acc: 96.8018 loss_bbox: 0.1146 loss_mask: 0.1913 loss: 0.3932 2022/08/26 17:39:36 - mmengine - INFO - Epoch(train) [102][60/125] lr: 8.0000e-03 eta: 0:51:08 time: 0.3689 data_time: 0.0998 memory: 6234 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0069 loss_cls: 0.0816 acc: 96.6064 loss_bbox: 0.1218 loss_mask: 0.1896 loss: 0.4045 2022/08/26 17:39:38 - mmengine - INFO - Epoch(train) [102][65/125] lr: 8.0000e-03 eta: 0:51:08 time: 0.4133 data_time: 0.1459 memory: 6542 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0062 loss_cls: 0.0807 acc: 97.4121 loss_bbox: 0.1138 loss_mask: 0.1842 loss: 0.3899 2022/08/26 17:39:41 - mmengine - INFO - Epoch(train) [102][70/125] lr: 8.0000e-03 eta: 0:51:05 time: 0.5446 data_time: 0.2618 memory: 6689 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0075 loss_cls: 0.0801 acc: 97.5342 loss_bbox: 0.1179 loss_mask: 0.1765 loss: 0.3875 2022/08/26 17:39:43 - mmengine - INFO - Epoch(train) [102][75/125] lr: 8.0000e-03 eta: 0:51:05 time: 0.4718 data_time: 0.1883 memory: 6459 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0091 loss_cls: 0.0821 acc: 96.8506 loss_bbox: 0.1167 loss_mask: 0.1882 loss: 0.4033 2022/08/26 17:39:45 - mmengine - INFO - Epoch(train) [102][80/125] lr: 8.0000e-03 eta: 0:51:00 time: 0.3169 data_time: 0.0474 memory: 6636 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0107 loss_cls: 0.0902 acc: 96.7529 loss_bbox: 0.1283 loss_mask: 0.2112 loss: 0.4506 2022/08/26 17:39:47 - mmengine - INFO - Epoch(train) [102][85/125] lr: 8.0000e-03 eta: 0:51:00 time: 0.3460 data_time: 0.0735 memory: 6825 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0133 loss_cls: 0.1003 acc: 94.5557 loss_bbox: 0.1453 loss_mask: 0.2221 loss: 0.4921 2022/08/26 17:39:49 - mmengine - INFO - Epoch(train) [102][90/125] lr: 8.0000e-03 eta: 0:50:56 time: 0.4427 data_time: 0.1233 memory: 6486 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0122 loss_cls: 0.0927 acc: 96.5088 loss_bbox: 0.1381 loss_mask: 0.2128 loss: 0.4642 2022/08/26 17:39:51 - mmengine - INFO - Epoch(train) [102][95/125] lr: 8.0000e-03 eta: 0:50:56 time: 0.4100 data_time: 0.0977 memory: 6025 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0099 loss_cls: 0.0827 acc: 97.5098 loss_bbox: 0.1201 loss_mask: 0.2085 loss: 0.4292 2022/08/26 17:39:52 - mmengine - INFO - Epoch(train) [102][100/125] lr: 8.0000e-03 eta: 0:50:51 time: 0.3305 data_time: 0.0653 memory: 6460 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0113 loss_cls: 0.0805 acc: 97.2900 loss_bbox: 0.1102 loss_mask: 0.1968 loss: 0.4070 2022/08/26 17:39:56 - mmengine - INFO - Epoch(train) [102][105/125] lr: 8.0000e-03 eta: 0:50:51 time: 0.5415 data_time: 0.1734 memory: 6485 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0116 loss_cls: 0.0830 acc: 95.9229 loss_bbox: 0.1215 loss_mask: 0.1974 loss: 0.4213 2022/08/26 17:39:58 - mmengine - INFO - Epoch(train) [102][110/125] lr: 8.0000e-03 eta: 0:50:47 time: 0.5264 data_time: 0.1524 memory: 6692 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0099 loss_cls: 0.0839 acc: 95.9961 loss_bbox: 0.1245 loss_mask: 0.2087 loss: 0.4347 2022/08/26 17:40:00 - mmengine - INFO - Epoch(train) [102][115/125] lr: 8.0000e-03 eta: 0:50:47 time: 0.3892 data_time: 0.1129 memory: 6157 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0102 loss_cls: 0.0756 acc: 97.5586 loss_bbox: 0.1147 loss_mask: 0.2096 loss: 0.4165 2022/08/26 17:40:02 - mmengine - INFO - Epoch(train) [102][120/125] lr: 8.0000e-03 eta: 0:50:43 time: 0.4021 data_time: 0.1306 memory: 6476 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0107 loss_cls: 0.0696 acc: 97.4121 loss_bbox: 0.1079 loss_mask: 0.1999 loss: 0.3938 2022/08/26 17:40:03 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:40:03 - mmengine - INFO - Epoch(train) [102][125/125] lr: 8.0000e-03 eta: 0:50:43 time: 0.3375 data_time: 0.0637 memory: 6633 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0117 loss_cls: 0.0773 acc: 97.8271 loss_bbox: 0.1178 loss_mask: 0.1917 loss: 0.4049 2022/08/26 17:40:06 - mmengine - INFO - Epoch(train) [103][5/125] lr: 8.0000e-03 eta: 0:50:43 time: 0.4206 data_time: 0.1402 memory: 6437 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0132 loss_cls: 0.0778 acc: 98.4619 loss_bbox: 0.1218 loss_mask: 0.1977 loss: 0.4173 2022/08/26 17:40:08 - mmengine - INFO - Epoch(train) [103][10/125] lr: 8.0000e-03 eta: 0:50:36 time: 0.4788 data_time: 0.1690 memory: 6499 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0121 loss_cls: 0.0708 acc: 97.2900 loss_bbox: 0.1133 loss_mask: 0.2005 loss: 0.4045 2022/08/26 17:40:10 - mmengine - INFO - Epoch(train) [103][15/125] lr: 8.0000e-03 eta: 0:50:36 time: 0.4232 data_time: 0.1144 memory: 6463 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0117 loss_cls: 0.0788 acc: 96.9971 loss_bbox: 0.1196 loss_mask: 0.2029 loss: 0.4208 2022/08/26 17:40:13 - mmengine - INFO - Epoch(train) [103][20/125] lr: 8.0000e-03 eta: 0:50:32 time: 0.4393 data_time: 0.1621 memory: 6431 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0119 loss_cls: 0.0843 acc: 95.3369 loss_bbox: 0.1233 loss_mask: 0.2010 loss: 0.4270 2022/08/26 17:40:14 - mmengine - INFO - Epoch(train) [103][25/125] lr: 8.0000e-03 eta: 0:50:32 time: 0.4147 data_time: 0.1448 memory: 6803 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0114 loss_cls: 0.0826 acc: 96.3623 loss_bbox: 0.1198 loss_mask: 0.1973 loss: 0.4183 2022/08/26 17:40:16 - mmengine - INFO - Epoch(train) [103][30/125] lr: 8.0000e-03 eta: 0:50:27 time: 0.3593 data_time: 0.0820 memory: 6695 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0109 loss_cls: 0.0864 acc: 95.0439 loss_bbox: 0.1241 loss_mask: 0.1994 loss: 0.4273 2022/08/26 17:40:18 - mmengine - INFO - Epoch(train) [103][35/125] lr: 8.0000e-03 eta: 0:50:27 time: 0.3566 data_time: 0.0777 memory: 6228 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0097 loss_cls: 0.0851 acc: 97.1191 loss_bbox: 0.1225 loss_mask: 0.1997 loss: 0.4223 2022/08/26 17:40:20 - mmengine - INFO - Epoch(train) [103][40/125] lr: 8.0000e-03 eta: 0:50:23 time: 0.3769 data_time: 0.0749 memory: 6666 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0089 loss_cls: 0.0837 acc: 96.1182 loss_bbox: 0.1304 loss_mask: 0.1985 loss: 0.4298 2022/08/26 17:40:22 - mmengine - INFO - Epoch(train) [103][45/125] lr: 8.0000e-03 eta: 0:50:23 time: 0.4091 data_time: 0.1054 memory: 6486 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0105 loss_cls: 0.0899 acc: 98.0469 loss_bbox: 0.1300 loss_mask: 0.2002 loss: 0.4411 2022/08/26 17:40:24 - mmengine - INFO - Epoch(train) [103][50/125] lr: 8.0000e-03 eta: 0:50:18 time: 0.3779 data_time: 0.1086 memory: 6372 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0095 loss_cls: 0.0834 acc: 97.9980 loss_bbox: 0.1157 loss_mask: 0.1994 loss: 0.4159 2022/08/26 17:40:25 - mmengine - INFO - Epoch(train) [103][55/125] lr: 8.0000e-03 eta: 0:50:18 time: 0.3407 data_time: 0.0761 memory: 6094 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0081 loss_cls: 0.0728 acc: 96.8018 loss_bbox: 0.1145 loss_mask: 0.2153 loss: 0.4173 2022/08/26 17:40:27 - mmengine - INFO - Epoch(train) [103][60/125] lr: 8.0000e-03 eta: 0:50:14 time: 0.3426 data_time: 0.0759 memory: 6203 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0080 loss_cls: 0.0749 acc: 96.4600 loss_bbox: 0.1129 loss_mask: 0.2254 loss: 0.4275 2022/08/26 17:40:30 - mmengine - INFO - Epoch(train) [103][65/125] lr: 8.0000e-03 eta: 0:50:14 time: 0.4095 data_time: 0.0887 memory: 6389 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0085 loss_cls: 0.0790 acc: 97.6562 loss_bbox: 0.1220 loss_mask: 0.2196 loss: 0.4372 2022/08/26 17:40:32 - mmengine - INFO - Epoch(train) [103][70/125] lr: 8.0000e-03 eta: 0:50:10 time: 0.4600 data_time: 0.1361 memory: 6578 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0106 loss_cls: 0.0841 acc: 97.2168 loss_bbox: 0.1328 loss_mask: 0.2135 loss: 0.4508 2022/08/26 17:40:34 - mmengine - INFO - Epoch(train) [103][75/125] lr: 8.0000e-03 eta: 0:50:10 time: 0.4289 data_time: 0.1571 memory: 6333 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0106 loss_cls: 0.0844 acc: 96.2891 loss_bbox: 0.1253 loss_mask: 0.2020 loss: 0.4301 2022/08/26 17:40:36 - mmengine - INFO - Epoch(train) [103][80/125] lr: 8.0000e-03 eta: 0:50:05 time: 0.3762 data_time: 0.1020 memory: 6878 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0118 loss_cls: 0.0848 acc: 96.0938 loss_bbox: 0.1298 loss_mask: 0.1917 loss: 0.4246 2022/08/26 17:40:38 - mmengine - INFO - Epoch(train) [103][85/125] lr: 8.0000e-03 eta: 0:50:05 time: 0.4040 data_time: 0.1042 memory: 6493 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0144 loss_cls: 0.0841 acc: 97.8516 loss_bbox: 0.1343 loss_mask: 0.1911 loss: 0.4314 2022/08/26 17:40:40 - mmengine - INFO - Epoch(train) [103][90/125] lr: 8.0000e-03 eta: 0:50:01 time: 0.4413 data_time: 0.1456 memory: 6440 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0128 loss_cls: 0.0829 acc: 96.4844 loss_bbox: 0.1291 loss_mask: 0.2016 loss: 0.4341 2022/08/26 17:40:43 - mmengine - INFO - Epoch(train) [103][95/125] lr: 8.0000e-03 eta: 0:50:01 time: 0.5254 data_time: 0.1424 memory: 6454 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0105 loss_cls: 0.0815 acc: 95.8496 loss_bbox: 0.1251 loss_mask: 0.2094 loss: 0.4338 2022/08/26 17:40:45 - mmengine - INFO - Epoch(train) [103][100/125] lr: 8.0000e-03 eta: 0:49:58 time: 0.4767 data_time: 0.0973 memory: 5941 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0074 loss_cls: 0.0712 acc: 97.8760 loss_bbox: 0.1018 loss_mask: 0.1993 loss: 0.3859 2022/08/26 17:40:47 - mmengine - INFO - Epoch(train) [103][105/125] lr: 8.0000e-03 eta: 0:49:58 time: 0.3972 data_time: 0.1308 memory: 6558 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0080 loss_cls: 0.0759 acc: 96.4844 loss_bbox: 0.1052 loss_mask: 0.1978 loss: 0.3918 2022/08/26 17:40:49 - mmengine - INFO - Epoch(train) [103][110/125] lr: 8.0000e-03 eta: 0:49:53 time: 0.4445 data_time: 0.1227 memory: 7786 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0132 loss_cls: 0.0940 acc: 95.8496 loss_bbox: 0.1405 loss_mask: 0.2010 loss: 0.4552 2022/08/26 17:40:51 - mmengine - INFO - Epoch(train) [103][115/125] lr: 8.0000e-03 eta: 0:49:53 time: 0.4143 data_time: 0.0501 memory: 7929 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0145 loss_cls: 0.1035 acc: 96.4111 loss_bbox: 0.1596 loss_mask: 0.2010 loss: 0.4860 2022/08/26 17:40:53 - mmengine - INFO - Epoch(train) [103][120/125] lr: 8.0000e-03 eta: 0:49:49 time: 0.3776 data_time: 0.0639 memory: 6594 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0142 loss_cls: 0.0919 acc: 96.6553 loss_bbox: 0.1461 loss_mask: 0.2038 loss: 0.4637 2022/08/26 17:40:55 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:40:55 - mmengine - INFO - Epoch(train) [103][125/125] lr: 8.0000e-03 eta: 0:49:49 time: 0.3631 data_time: 0.0512 memory: 6571 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0120 loss_cls: 0.0831 acc: 96.7773 loss_bbox: 0.1237 loss_mask: 0.1989 loss: 0.4262 2022/08/26 17:40:58 - mmengine - INFO - Epoch(train) [104][5/125] lr: 8.0000e-03 eta: 0:49:49 time: 0.4544 data_time: 0.1437 memory: 6467 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0081 loss_cls: 0.0782 acc: 98.4131 loss_bbox: 0.1055 loss_mask: 0.1886 loss: 0.3876 2022/08/26 17:41:02 - mmengine - INFO - Epoch(train) [104][10/125] lr: 8.0000e-03 eta: 0:49:43 time: 0.6373 data_time: 0.3483 memory: 7081 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0089 loss_cls: 0.0799 acc: 95.6055 loss_bbox: 0.1076 loss_mask: 0.2036 loss: 0.4095 2022/08/26 17:41:03 - mmengine - INFO - Epoch(train) [104][15/125] lr: 8.0000e-03 eta: 0:49:43 time: 0.5299 data_time: 0.2397 memory: 6574 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0093 loss_cls: 0.0826 acc: 97.6562 loss_bbox: 0.1150 loss_mask: 0.2002 loss: 0.4158 2022/08/26 17:41:05 - mmengine - INFO - Epoch(train) [104][20/125] lr: 8.0000e-03 eta: 0:49:38 time: 0.3145 data_time: 0.0385 memory: 6601 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0094 loss_cls: 0.0889 acc: 95.6055 loss_bbox: 0.1208 loss_mask: 0.1931 loss: 0.4182 2022/08/26 17:41:06 - mmengine - INFO - Epoch(train) [104][25/125] lr: 8.0000e-03 eta: 0:49:38 time: 0.3288 data_time: 0.0571 memory: 6186 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0110 loss_cls: 0.0871 acc: 98.2178 loss_bbox: 0.1179 loss_mask: 0.2071 loss: 0.4302 2022/08/26 17:41:09 - mmengine - INFO - Epoch(train) [104][30/125] lr: 8.0000e-03 eta: 0:49:34 time: 0.4048 data_time: 0.1101 memory: 6564 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0087 loss_cls: 0.0730 acc: 97.9980 loss_bbox: 0.1039 loss_mask: 0.2034 loss: 0.3950 2022/08/26 17:41:11 - mmengine - INFO - Epoch(train) [104][35/125] lr: 8.0000e-03 eta: 0:49:34 time: 0.4032 data_time: 0.1019 memory: 6353 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0087 loss_cls: 0.0762 acc: 96.0693 loss_bbox: 0.1083 loss_mask: 0.1933 loss: 0.3926 2022/08/26 17:41:12 - mmengine - INFO - Epoch(train) [104][40/125] lr: 8.0000e-03 eta: 0:49:29 time: 0.3627 data_time: 0.0845 memory: 6656 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0156 loss_cls: 0.0900 acc: 96.5576 loss_bbox: 0.1318 loss_mask: 0.1918 loss: 0.4376 2022/08/26 17:41:14 - mmengine - INFO - Epoch(train) [104][45/125] lr: 8.0000e-03 eta: 0:49:29 time: 0.3730 data_time: 0.0984 memory: 6294 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0163 loss_cls: 0.1050 acc: 97.2412 loss_bbox: 0.1454 loss_mask: 0.2156 loss: 0.4939 2022/08/26 17:41:16 - mmengine - INFO - Epoch(train) [104][50/125] lr: 8.0000e-03 eta: 0:49:25 time: 0.3527 data_time: 0.0820 memory: 6626 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0113 loss_cls: 0.1005 acc: 96.9482 loss_bbox: 0.1400 loss_mask: 0.2139 loss: 0.4755 2022/08/26 17:41:19 - mmengine - INFO - Epoch(train) [104][55/125] lr: 8.0000e-03 eta: 0:49:25 time: 0.4275 data_time: 0.1271 memory: 6659 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0102 loss_cls: 0.0936 acc: 95.0439 loss_bbox: 0.1374 loss_mask: 0.2028 loss: 0.4514 2022/08/26 17:41:21 - mmengine - INFO - Epoch(train) [104][60/125] lr: 8.0000e-03 eta: 0:49:21 time: 0.4977 data_time: 0.1944 memory: 6489 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0100 loss_cls: 0.0922 acc: 96.7285 loss_bbox: 0.1334 loss_mask: 0.2014 loss: 0.4446 2022/08/26 17:41:23 - mmengine - INFO - Epoch(train) [104][65/125] lr: 8.0000e-03 eta: 0:49:21 time: 0.4267 data_time: 0.1463 memory: 6652 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0096 loss_cls: 0.0960 acc: 96.2646 loss_bbox: 0.1465 loss_mask: 0.1977 loss: 0.4563 2022/08/26 17:41:25 - mmengine - INFO - Epoch(train) [104][70/125] lr: 8.0000e-03 eta: 0:49:17 time: 0.3999 data_time: 0.1140 memory: 6894 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0116 loss_cls: 0.0983 acc: 96.0938 loss_bbox: 0.1556 loss_mask: 0.1980 loss: 0.4717 2022/08/26 17:41:28 - mmengine - INFO - Epoch(train) [104][75/125] lr: 8.0000e-03 eta: 0:49:17 time: 0.4904 data_time: 0.1982 memory: 6359 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0119 loss_cls: 0.0858 acc: 97.7783 loss_bbox: 0.1311 loss_mask: 0.1928 loss: 0.4308 2022/08/26 17:41:30 - mmengine - INFO - Epoch(train) [104][80/125] lr: 8.0000e-03 eta: 0:49:13 time: 0.4717 data_time: 0.1586 memory: 7906 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0115 loss_cls: 0.0771 acc: 97.3145 loss_bbox: 0.1182 loss_mask: 0.1974 loss: 0.4117 2022/08/26 17:41:32 - mmengine - INFO - Epoch(train) [104][85/125] lr: 8.0000e-03 eta: 0:49:13 time: 0.3846 data_time: 0.0835 memory: 6443 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0132 loss_cls: 0.0805 acc: 96.8506 loss_bbox: 0.1322 loss_mask: 0.2079 loss: 0.4405 2022/08/26 17:41:33 - mmengine - INFO - Epoch(train) [104][90/125] lr: 8.0000e-03 eta: 0:49:08 time: 0.3451 data_time: 0.0725 memory: 6313 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0107 loss_cls: 0.0836 acc: 97.5586 loss_bbox: 0.1298 loss_mask: 0.1996 loss: 0.4295 2022/08/26 17:41:37 - mmengine - INFO - Epoch(train) [104][95/125] lr: 8.0000e-03 eta: 0:49:08 time: 0.5156 data_time: 0.2413 memory: 6806 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0091 loss_cls: 0.0902 acc: 96.1182 loss_bbox: 0.1278 loss_mask: 0.1978 loss: 0.4321 2022/08/26 17:41:39 - mmengine - INFO - Epoch(train) [104][100/125] lr: 8.0000e-03 eta: 0:49:05 time: 0.5532 data_time: 0.2691 memory: 6617 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0114 loss_cls: 0.0941 acc: 96.8262 loss_bbox: 0.1384 loss_mask: 0.2054 loss: 0.4594 2022/08/26 17:41:40 - mmengine - INFO - Epoch(train) [104][105/125] lr: 8.0000e-03 eta: 0:49:05 time: 0.3547 data_time: 0.0709 memory: 6311 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0124 loss_cls: 0.0823 acc: 96.8018 loss_bbox: 0.1247 loss_mask: 0.1981 loss: 0.4270 2022/08/26 17:41:42 - mmengine - INFO - Epoch(train) [104][110/125] lr: 8.0000e-03 eta: 0:49:00 time: 0.3497 data_time: 0.0795 memory: 6633 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0118 loss_cls: 0.0847 acc: 96.2158 loss_bbox: 0.1235 loss_mask: 0.2074 loss: 0.4350 2022/08/26 17:41:44 - mmengine - INFO - Epoch(train) [104][115/125] lr: 8.0000e-03 eta: 0:49:00 time: 0.3811 data_time: 0.1089 memory: 6434 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0115 loss_cls: 0.0907 acc: 97.4609 loss_bbox: 0.1374 loss_mask: 0.2033 loss: 0.4490 2022/08/26 17:41:46 - mmengine - INFO - Epoch(train) [104][120/125] lr: 8.0000e-03 eta: 0:48:56 time: 0.3717 data_time: 0.0844 memory: 6613 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0098 loss_cls: 0.0871 acc: 96.7529 loss_bbox: 0.1318 loss_mask: 0.1972 loss: 0.4331 2022/08/26 17:41:47 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:41:47 - mmengine - INFO - Epoch(train) [104][125/125] lr: 8.0000e-03 eta: 0:48:56 time: 0.3414 data_time: 0.0585 memory: 6213 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0090 loss_cls: 0.0837 acc: 96.3623 loss_bbox: 0.1189 loss_mask: 0.2092 loss: 0.4292 2022/08/26 17:41:51 - mmengine - INFO - Epoch(train) [105][5/125] lr: 8.0000e-03 eta: 0:48:56 time: 0.5249 data_time: 0.2375 memory: 6120 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0103 loss_cls: 0.0814 acc: 97.0703 loss_bbox: 0.1130 loss_mask: 0.2082 loss: 0.4215 2022/08/26 17:41:53 - mmengine - INFO - Epoch(train) [105][10/125] lr: 8.0000e-03 eta: 0:48:49 time: 0.5258 data_time: 0.2380 memory: 6402 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0122 loss_cls: 0.0831 acc: 97.6807 loss_bbox: 0.1207 loss_mask: 0.1924 loss: 0.4172 2022/08/26 17:41:55 - mmengine - INFO - Epoch(train) [105][15/125] lr: 8.0000e-03 eta: 0:48:49 time: 0.3251 data_time: 0.0504 memory: 6607 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0112 loss_cls: 0.0852 acc: 96.1670 loss_bbox: 0.1356 loss_mask: 0.1947 loss: 0.4338 2022/08/26 17:41:56 - mmengine - INFO - Epoch(train) [105][20/125] lr: 8.0000e-03 eta: 0:48:44 time: 0.3270 data_time: 0.0546 memory: 6750 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0085 loss_cls: 0.0911 acc: 97.4121 loss_bbox: 0.1360 loss_mask: 0.2081 loss: 0.4511 2022/08/26 17:41:59 - mmengine - INFO - Epoch(train) [105][25/125] lr: 8.0000e-03 eta: 0:48:44 time: 0.4434 data_time: 0.1528 memory: 6360 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0089 loss_cls: 0.0886 acc: 96.5576 loss_bbox: 0.1284 loss_mask: 0.2010 loss: 0.4348 2022/08/26 17:42:01 - mmengine - INFO - Epoch(train) [105][30/125] lr: 8.0000e-03 eta: 0:48:40 time: 0.4413 data_time: 0.1419 memory: 6593 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0101 loss_cls: 0.0808 acc: 95.8008 loss_bbox: 0.1297 loss_mask: 0.1887 loss: 0.4153 2022/08/26 17:42:02 - mmengine - INFO - Epoch(train) [105][35/125] lr: 8.0000e-03 eta: 0:48:40 time: 0.3266 data_time: 0.0522 memory: 6378 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0095 loss_cls: 0.0780 acc: 96.4600 loss_bbox: 0.1226 loss_mask: 0.1918 loss: 0.4071 2022/08/26 17:42:04 - mmengine - INFO - Epoch(train) [105][40/125] lr: 8.0000e-03 eta: 0:48:36 time: 0.3841 data_time: 0.1180 memory: 6489 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0097 loss_cls: 0.0841 acc: 95.1904 loss_bbox: 0.1229 loss_mask: 0.1984 loss: 0.4209 2022/08/26 17:42:06 - mmengine - INFO - Epoch(train) [105][45/125] lr: 8.0000e-03 eta: 0:48:36 time: 0.3832 data_time: 0.1150 memory: 6275 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0095 loss_cls: 0.0902 acc: 96.3135 loss_bbox: 0.1254 loss_mask: 0.1913 loss: 0.4241 2022/08/26 17:42:10 - mmengine - INFO - Epoch(train) [105][50/125] lr: 8.0000e-03 eta: 0:48:32 time: 0.5238 data_time: 0.2009 memory: 6617 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0111 loss_cls: 0.0961 acc: 96.2158 loss_bbox: 0.1357 loss_mask: 0.2117 loss: 0.4649 2022/08/26 17:42:11 - mmengine - INFO - Epoch(train) [105][55/125] lr: 8.0000e-03 eta: 0:48:32 time: 0.5248 data_time: 0.2015 memory: 6305 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0119 loss_cls: 0.0945 acc: 97.2656 loss_bbox: 0.1355 loss_mask: 0.2215 loss: 0.4757 2022/08/26 17:42:13 - mmengine - INFO - Epoch(train) [105][60/125] lr: 8.0000e-03 eta: 0:48:27 time: 0.3378 data_time: 0.0693 memory: 6339 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0100 loss_cls: 0.0876 acc: 97.4854 loss_bbox: 0.1230 loss_mask: 0.2054 loss: 0.4365 2022/08/26 17:42:15 - mmengine - INFO - Epoch(train) [105][65/125] lr: 8.0000e-03 eta: 0:48:27 time: 0.3797 data_time: 0.0744 memory: 6262 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0098 loss_cls: 0.0841 acc: 97.4854 loss_bbox: 0.1184 loss_mask: 0.1983 loss: 0.4172 2022/08/26 17:42:17 - mmengine - INFO - Epoch(train) [105][70/125] lr: 8.0000e-03 eta: 0:48:23 time: 0.3918 data_time: 0.0853 memory: 6538 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0102 loss_cls: 0.0890 acc: 97.4121 loss_bbox: 0.1254 loss_mask: 0.2022 loss: 0.4364 2022/08/26 17:42:19 - mmengine - INFO - Epoch(train) [105][75/125] lr: 8.0000e-03 eta: 0:48:23 time: 0.3778 data_time: 0.1051 memory: 6672 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0123 loss_cls: 0.0859 acc: 95.8496 loss_bbox: 0.1274 loss_mask: 0.2007 loss: 0.4371 2022/08/26 17:42:21 - mmengine - INFO - Epoch(train) [105][80/125] lr: 8.0000e-03 eta: 0:48:19 time: 0.3523 data_time: 0.0801 memory: 6620 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0115 loss_cls: 0.0774 acc: 97.7539 loss_bbox: 0.1186 loss_mask: 0.1950 loss: 0.4091 2022/08/26 17:42:22 - mmengine - INFO - Epoch(train) [105][85/125] lr: 8.0000e-03 eta: 0:48:19 time: 0.3248 data_time: 0.0527 memory: 6461 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0102 loss_cls: 0.0801 acc: 98.9258 loss_bbox: 0.1173 loss_mask: 0.1902 loss: 0.4045 2022/08/26 17:42:24 - mmengine - INFO - Epoch(train) [105][90/125] lr: 8.0000e-03 eta: 0:48:14 time: 0.3502 data_time: 0.0750 memory: 6558 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0108 loss_cls: 0.0819 acc: 96.4111 loss_bbox: 0.1179 loss_mask: 0.1860 loss: 0.4038 2022/08/26 17:42:26 - mmengine - INFO - Epoch(train) [105][95/125] lr: 8.0000e-03 eta: 0:48:14 time: 0.3742 data_time: 0.0986 memory: 6578 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0145 loss_cls: 0.0791 acc: 96.1182 loss_bbox: 0.1155 loss_mask: 0.1889 loss: 0.4036 2022/08/26 17:42:28 - mmengine - INFO - Epoch(train) [105][100/125] lr: 8.0000e-03 eta: 0:48:10 time: 0.3593 data_time: 0.0874 memory: 6789 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0141 loss_cls: 0.0791 acc: 94.6045 loss_bbox: 0.1164 loss_mask: 0.1962 loss: 0.4113 2022/08/26 17:42:30 - mmengine - INFO - Epoch(train) [105][105/125] lr: 8.0000e-03 eta: 0:48:10 time: 0.4159 data_time: 0.1018 memory: 6604 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0091 loss_cls: 0.0847 acc: 96.8994 loss_bbox: 0.1289 loss_mask: 0.2139 loss: 0.4434 2022/08/26 17:42:32 - mmengine - INFO - Epoch(train) [105][110/125] lr: 8.0000e-03 eta: 0:48:05 time: 0.4232 data_time: 0.1078 memory: 6832 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0089 loss_cls: 0.0829 acc: 95.5811 loss_bbox: 0.1292 loss_mask: 0.2098 loss: 0.4369 2022/08/26 17:42:34 - mmengine - INFO - Epoch(train) [105][115/125] lr: 8.0000e-03 eta: 0:48:05 time: 0.3918 data_time: 0.1236 memory: 6130 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0089 loss_cls: 0.0775 acc: 97.4365 loss_bbox: 0.1148 loss_mask: 0.1927 loss: 0.3993 2022/08/26 17:42:37 - mmengine - INFO - Epoch(train) [105][120/125] lr: 8.0000e-03 eta: 0:48:02 time: 0.5336 data_time: 0.2621 memory: 6706 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0101 loss_cls: 0.0824 acc: 97.5098 loss_bbox: 0.1197 loss_mask: 0.2063 loss: 0.4253 2022/08/26 17:42:39 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:42:39 - mmengine - INFO - Epoch(train) [105][125/125] lr: 8.0000e-03 eta: 0:48:02 time: 0.5210 data_time: 0.2275 memory: 6685 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0129 loss_cls: 0.0959 acc: 95.1904 loss_bbox: 0.1336 loss_mask: 0.2166 loss: 0.4691 2022/08/26 17:42:44 - mmengine - INFO - Epoch(train) [106][5/125] lr: 8.0000e-03 eta: 0:48:02 time: 0.6438 data_time: 0.3477 memory: 6588 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0123 loss_cls: 0.0943 acc: 96.6309 loss_bbox: 0.1307 loss_mask: 0.2062 loss: 0.4527 2022/08/26 17:42:46 - mmengine - INFO - Epoch(train) [106][10/125] lr: 8.0000e-03 eta: 0:47:56 time: 0.6425 data_time: 0.3404 memory: 8110 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0098 loss_cls: 0.0884 acc: 94.0430 loss_bbox: 0.1357 loss_mask: 0.2070 loss: 0.4463 2022/08/26 17:42:48 - mmengine - INFO - Epoch(train) [106][15/125] lr: 8.0000e-03 eta: 0:47:56 time: 0.4064 data_time: 0.0988 memory: 6235 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0098 loss_cls: 0.0885 acc: 97.3389 loss_bbox: 0.1315 loss_mask: 0.2104 loss: 0.4467 2022/08/26 17:42:50 - mmengine - INFO - Epoch(train) [106][20/125] lr: 8.0000e-03 eta: 0:47:51 time: 0.4275 data_time: 0.1427 memory: 6574 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0118 loss_cls: 0.0875 acc: 97.5586 loss_bbox: 0.1274 loss_mask: 0.1975 loss: 0.4330 2022/08/26 17:42:53 - mmengine - INFO - Epoch(train) [106][25/125] lr: 8.0000e-03 eta: 0:47:51 time: 0.5591 data_time: 0.2674 memory: 6447 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0108 loss_cls: 0.0778 acc: 95.8984 loss_bbox: 0.1192 loss_mask: 0.1849 loss: 0.4007 2022/08/26 17:42:55 - mmengine - INFO - Epoch(train) [106][30/125] lr: 8.0000e-03 eta: 0:47:48 time: 0.4872 data_time: 0.1969 memory: 6463 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0095 loss_cls: 0.0729 acc: 98.1689 loss_bbox: 0.1141 loss_mask: 0.2046 loss: 0.4089 2022/08/26 17:42:57 - mmengine - INFO - Epoch(train) [106][35/125] lr: 8.0000e-03 eta: 0:47:48 time: 0.3976 data_time: 0.1258 memory: 6809 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0106 loss_cls: 0.0863 acc: 97.3877 loss_bbox: 0.1319 loss_mask: 0.2201 loss: 0.4578 2022/08/26 17:43:00 - mmengine - INFO - Epoch(train) [106][40/125] lr: 8.0000e-03 eta: 0:47:44 time: 0.4888 data_time: 0.1848 memory: 6574 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0134 loss_cls: 0.0838 acc: 95.1660 loss_bbox: 0.1271 loss_mask: 0.2042 loss: 0.4373 2022/08/26 17:43:02 - mmengine - INFO - Epoch(train) [106][45/125] lr: 8.0000e-03 eta: 0:47:44 time: 0.4224 data_time: 0.1184 memory: 6072 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0138 loss_cls: 0.0751 acc: 97.4121 loss_bbox: 0.1101 loss_mask: 0.2073 loss: 0.4146 2022/08/26 17:43:03 - mmengine - INFO - Epoch(train) [106][50/125] lr: 8.0000e-03 eta: 0:47:39 time: 0.3457 data_time: 0.0764 memory: 6451 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0107 loss_cls: 0.0833 acc: 96.0449 loss_bbox: 0.1154 loss_mask: 0.2087 loss: 0.4254 2022/08/26 17:43:05 - mmengine - INFO - Epoch(train) [106][55/125] lr: 8.0000e-03 eta: 0:47:39 time: 0.3741 data_time: 0.1034 memory: 6327 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0099 loss_cls: 0.0809 acc: 97.5342 loss_bbox: 0.1189 loss_mask: 0.1973 loss: 0.4148 2022/08/26 17:43:07 - mmengine - INFO - Epoch(train) [106][60/125] lr: 8.0000e-03 eta: 0:47:35 time: 0.3751 data_time: 0.1031 memory: 6334 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0092 loss_cls: 0.0733 acc: 97.7051 loss_bbox: 0.1092 loss_mask: 0.1981 loss: 0.3978 2022/08/26 17:43:09 - mmengine - INFO - Epoch(train) [106][65/125] lr: 8.0000e-03 eta: 0:47:35 time: 0.3499 data_time: 0.0543 memory: 6113 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0073 loss_cls: 0.0646 acc: 98.9990 loss_bbox: 0.0931 loss_mask: 0.1840 loss: 0.3563 2022/08/26 17:43:11 - mmengine - INFO - Epoch(train) [106][70/125] lr: 8.0000e-03 eta: 0:47:30 time: 0.3633 data_time: 0.0727 memory: 6334 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0066 loss_cls: 0.0699 acc: 96.3623 loss_bbox: 0.0939 loss_mask: 0.1904 loss: 0.3665 2022/08/26 17:43:13 - mmengine - INFO - Epoch(train) [106][75/125] lr: 8.0000e-03 eta: 0:47:30 time: 0.4478 data_time: 0.1544 memory: 7680 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0087 loss_cls: 0.0898 acc: 98.4863 loss_bbox: 0.1208 loss_mask: 0.2051 loss: 0.4320 2022/08/26 17:43:15 - mmengine - INFO - Epoch(train) [106][80/125] lr: 8.0000e-03 eta: 0:47:26 time: 0.4336 data_time: 0.1340 memory: 6336 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0137 loss_cls: 0.0948 acc: 97.2168 loss_bbox: 0.1313 loss_mask: 0.2053 loss: 0.4563 2022/08/26 17:43:17 - mmengine - INFO - Epoch(train) [106][85/125] lr: 8.0000e-03 eta: 0:47:26 time: 0.3361 data_time: 0.0583 memory: 6360 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0138 loss_cls: 0.0891 acc: 96.7529 loss_bbox: 0.1316 loss_mask: 0.2097 loss: 0.4526 2022/08/26 17:43:19 - mmengine - INFO - Epoch(train) [106][90/125] lr: 8.0000e-03 eta: 0:47:22 time: 0.3767 data_time: 0.0601 memory: 6330 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0112 loss_cls: 0.0809 acc: 96.8750 loss_bbox: 0.1289 loss_mask: 0.2020 loss: 0.4296 2022/08/26 17:43:21 - mmengine - INFO - Epoch(train) [106][95/125] lr: 8.0000e-03 eta: 0:47:22 time: 0.4487 data_time: 0.0821 memory: 6147 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0104 loss_cls: 0.0778 acc: 96.5576 loss_bbox: 0.1193 loss_mask: 0.2065 loss: 0.4212 2022/08/26 17:43:23 - mmengine - INFO - Epoch(train) [106][100/125] lr: 8.0000e-03 eta: 0:47:18 time: 0.4380 data_time: 0.1096 memory: 6843 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0104 loss_cls: 0.0846 acc: 97.3633 loss_bbox: 0.1337 loss_mask: 0.2084 loss: 0.4446 2022/08/26 17:43:25 - mmengine - INFO - Epoch(train) [106][105/125] lr: 8.0000e-03 eta: 0:47:18 time: 0.3635 data_time: 0.0870 memory: 6425 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0140 loss_cls: 0.0925 acc: 95.9961 loss_bbox: 0.1423 loss_mask: 0.1995 loss: 0.4575 2022/08/26 17:43:26 - mmengine - INFO - Epoch(train) [106][110/125] lr: 8.0000e-03 eta: 0:47:13 time: 0.3254 data_time: 0.0506 memory: 6476 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0137 loss_cls: 0.0960 acc: 95.5566 loss_bbox: 0.1341 loss_mask: 0.2110 loss: 0.4644 2022/08/26 17:43:28 - mmengine - INFO - Epoch(train) [106][115/125] lr: 8.0000e-03 eta: 0:47:13 time: 0.3426 data_time: 0.0637 memory: 6288 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0131 loss_cls: 0.0929 acc: 96.1182 loss_bbox: 0.1308 loss_mask: 0.2222 loss: 0.4693 2022/08/26 17:43:30 - mmengine - INFO - Epoch(train) [106][120/125] lr: 8.0000e-03 eta: 0:47:09 time: 0.3735 data_time: 0.0895 memory: 6784 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0120 loss_cls: 0.0779 acc: 97.6074 loss_bbox: 0.1192 loss_mask: 0.2033 loss: 0.4201 2022/08/26 17:43:32 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:43:32 - mmengine - INFO - Epoch(train) [106][125/125] lr: 8.0000e-03 eta: 0:47:09 time: 0.3414 data_time: 0.0652 memory: 6186 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0087 loss_cls: 0.0781 acc: 96.7529 loss_bbox: 0.1197 loss_mask: 0.1991 loss: 0.4124 2022/08/26 17:43:36 - mmengine - INFO - Epoch(train) [107][5/125] lr: 8.0000e-03 eta: 0:47:09 time: 0.5615 data_time: 0.2623 memory: 6278 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0089 loss_cls: 0.0866 acc: 95.4102 loss_bbox: 0.1238 loss_mask: 0.1987 loss: 0.4254 2022/08/26 17:43:38 - mmengine - INFO - Epoch(train) [107][10/125] lr: 8.0000e-03 eta: 0:47:02 time: 0.5943 data_time: 0.2884 memory: 6904 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0096 loss_cls: 0.0836 acc: 96.5820 loss_bbox: 0.1268 loss_mask: 0.1957 loss: 0.4209 2022/08/26 17:43:40 - mmengine - INFO - Epoch(train) [107][15/125] lr: 8.0000e-03 eta: 0:47:02 time: 0.3433 data_time: 0.0687 memory: 6689 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0079 loss_cls: 0.0801 acc: 96.3623 loss_bbox: 0.1207 loss_mask: 0.1969 loss: 0.4118 2022/08/26 17:43:41 - mmengine - INFO - Epoch(train) [107][20/125] lr: 8.0000e-03 eta: 0:46:57 time: 0.3270 data_time: 0.0615 memory: 6235 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0082 loss_cls: 0.0769 acc: 96.7041 loss_bbox: 0.1079 loss_mask: 0.1939 loss: 0.3932 2022/08/26 17:43:43 - mmengine - INFO - Epoch(train) [107][25/125] lr: 8.0000e-03 eta: 0:46:57 time: 0.3765 data_time: 0.0986 memory: 6790 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0132 loss_cls: 0.0882 acc: 95.9473 loss_bbox: 0.1333 loss_mask: 0.2021 loss: 0.4432 2022/08/26 17:43:45 - mmengine - INFO - Epoch(train) [107][30/125] lr: 8.0000e-03 eta: 0:46:53 time: 0.4088 data_time: 0.1281 memory: 6246 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0138 loss_cls: 0.0846 acc: 97.9492 loss_bbox: 0.1269 loss_mask: 0.1932 loss: 0.4251 2022/08/26 17:43:47 - mmengine - INFO - Epoch(train) [107][35/125] lr: 8.0000e-03 eta: 0:46:53 time: 0.3657 data_time: 0.0938 memory: 6467 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0120 loss_cls: 0.0793 acc: 96.1426 loss_bbox: 0.1140 loss_mask: 0.1988 loss: 0.4115 2022/08/26 17:43:50 - mmengine - INFO - Epoch(train) [107][40/125] lr: 8.0000e-03 eta: 0:46:49 time: 0.4257 data_time: 0.0900 memory: 6424 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0107 loss_cls: 0.0802 acc: 95.2393 loss_bbox: 0.1237 loss_mask: 0.2097 loss: 0.4328 2022/08/26 17:43:51 - mmengine - INFO - Epoch(train) [107][45/125] lr: 8.0000e-03 eta: 0:46:49 time: 0.4259 data_time: 0.0877 memory: 6424 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0104 loss_cls: 0.0762 acc: 98.4375 loss_bbox: 0.1206 loss_mask: 0.2083 loss: 0.4228 2022/08/26 17:43:53 - mmengine - INFO - Epoch(train) [107][50/125] lr: 8.0000e-03 eta: 0:46:45 time: 0.3510 data_time: 0.0753 memory: 6636 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0124 loss_cls: 0.0818 acc: 96.3379 loss_bbox: 0.1266 loss_mask: 0.2063 loss: 0.4335 2022/08/26 17:43:55 - mmengine - INFO - Epoch(train) [107][55/125] lr: 8.0000e-03 eta: 0:46:45 time: 0.3557 data_time: 0.0825 memory: 6493 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0102 loss_cls: 0.0841 acc: 95.2393 loss_bbox: 0.1273 loss_mask: 0.1969 loss: 0.4266 2022/08/26 17:43:57 - mmengine - INFO - Epoch(train) [107][60/125] lr: 8.0000e-03 eta: 0:46:40 time: 0.3586 data_time: 0.0839 memory: 6551 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0100 loss_cls: 0.0874 acc: 96.9971 loss_bbox: 0.1308 loss_mask: 0.1936 loss: 0.4303 2022/08/26 17:43:58 - mmengine - INFO - Epoch(train) [107][65/125] lr: 8.0000e-03 eta: 0:46:40 time: 0.3582 data_time: 0.0807 memory: 6686 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0105 loss_cls: 0.0794 acc: 97.7051 loss_bbox: 0.1218 loss_mask: 0.1895 loss: 0.4072 2022/08/26 17:44:00 - mmengine - INFO - Epoch(train) [107][70/125] lr: 8.0000e-03 eta: 0:46:36 time: 0.3661 data_time: 0.0627 memory: 7739 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0097 loss_cls: 0.0865 acc: 96.5820 loss_bbox: 0.1332 loss_mask: 0.2031 loss: 0.4394 2022/08/26 17:44:02 - mmengine - INFO - Epoch(train) [107][75/125] lr: 8.0000e-03 eta: 0:46:36 time: 0.3620 data_time: 0.0611 memory: 6421 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0107 loss_cls: 0.0932 acc: 96.0449 loss_bbox: 0.1456 loss_mask: 0.2220 loss: 0.4793 2022/08/26 17:44:04 - mmengine - INFO - Epoch(train) [107][80/125] lr: 8.0000e-03 eta: 0:46:31 time: 0.3487 data_time: 0.0733 memory: 6229 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0101 loss_cls: 0.0806 acc: 96.9482 loss_bbox: 0.1271 loss_mask: 0.2124 loss: 0.4363 2022/08/26 17:44:07 - mmengine - INFO - Epoch(train) [107][85/125] lr: 8.0000e-03 eta: 0:46:31 time: 0.4684 data_time: 0.1895 memory: 6705 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0103 loss_cls: 0.0904 acc: 96.5332 loss_bbox: 0.1350 loss_mask: 0.2152 loss: 0.4575 2022/08/26 17:44:10 - mmengine - INFO - Epoch(train) [107][90/125] lr: 8.0000e-03 eta: 0:46:28 time: 0.5802 data_time: 0.3045 memory: 6084 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0123 loss_cls: 0.0875 acc: 97.1924 loss_bbox: 0.1242 loss_mask: 0.2201 loss: 0.4516 2022/08/26 17:44:12 - mmengine - INFO - Epoch(train) [107][95/125] lr: 8.0000e-03 eta: 0:46:28 time: 0.5188 data_time: 0.2442 memory: 6304 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0129 loss_cls: 0.0781 acc: 97.7295 loss_bbox: 0.1096 loss_mask: 0.2082 loss: 0.4171 2022/08/26 17:44:14 - mmengine - INFO - Epoch(train) [107][100/125] lr: 8.0000e-03 eta: 0:46:23 time: 0.3893 data_time: 0.1112 memory: 6535 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0119 loss_cls: 0.0839 acc: 96.8994 loss_bbox: 0.1176 loss_mask: 0.2054 loss: 0.4278 2022/08/26 17:44:15 - mmengine - INFO - Epoch(train) [107][105/125] lr: 8.0000e-03 eta: 0:46:23 time: 0.3454 data_time: 0.0738 memory: 6120 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0085 loss_cls: 0.0685 acc: 98.3398 loss_bbox: 0.0957 loss_mask: 0.1992 loss: 0.3788 2022/08/26 17:44:17 - mmengine - INFO - Epoch(train) [107][110/125] lr: 8.0000e-03 eta: 0:46:19 time: 0.3855 data_time: 0.0831 memory: 6476 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0080 loss_cls: 0.0726 acc: 97.4609 loss_bbox: 0.0983 loss_mask: 0.2021 loss: 0.3875 2022/08/26 17:44:20 - mmengine - INFO - Epoch(train) [107][115/125] lr: 8.0000e-03 eta: 0:46:19 time: 0.4669 data_time: 0.1337 memory: 6604 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0105 loss_cls: 0.0891 acc: 95.1416 loss_bbox: 0.1236 loss_mask: 0.2036 loss: 0.4352 2022/08/26 17:44:22 - mmengine - INFO - Epoch(train) [107][120/125] lr: 8.0000e-03 eta: 0:46:15 time: 0.4180 data_time: 0.1233 memory: 6059 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0097 loss_cls: 0.0734 acc: 97.6807 loss_bbox: 0.1075 loss_mask: 0.1882 loss: 0.3856 2022/08/26 17:44:23 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:44:23 - mmengine - INFO - Epoch(train) [107][125/125] lr: 8.0000e-03 eta: 0:46:15 time: 0.3109 data_time: 0.0453 memory: 6803 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0129 loss_cls: 0.0696 acc: 95.8252 loss_bbox: 0.1082 loss_mask: 0.1876 loss: 0.3854 2022/08/26 17:44:26 - mmengine - INFO - Epoch(train) [108][5/125] lr: 8.0000e-03 eta: 0:46:15 time: 0.4142 data_time: 0.1489 memory: 6472 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0129 loss_cls: 0.0785 acc: 98.1445 loss_bbox: 0.1171 loss_mask: 0.2004 loss: 0.4181 2022/08/26 17:44:28 - mmengine - INFO - Epoch(train) [108][10/125] lr: 8.0000e-03 eta: 0:46:08 time: 0.4874 data_time: 0.2132 memory: 6637 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0105 loss_cls: 0.0885 acc: 95.3125 loss_bbox: 0.1270 loss_mask: 0.2087 loss: 0.4440 2022/08/26 17:44:30 - mmengine - INFO - Epoch(train) [108][15/125] lr: 8.0000e-03 eta: 0:46:08 time: 0.4248 data_time: 0.1418 memory: 6422 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0114 loss_cls: 0.0950 acc: 96.3379 loss_bbox: 0.1442 loss_mask: 0.2086 loss: 0.4676 2022/08/26 17:44:32 - mmengine - INFO - Epoch(train) [108][20/125] lr: 8.0000e-03 eta: 0:46:03 time: 0.3621 data_time: 0.0901 memory: 6343 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0092 loss_cls: 0.0757 acc: 99.0723 loss_bbox: 0.1154 loss_mask: 0.1936 loss: 0.4000 2022/08/26 17:44:34 - mmengine - INFO - Epoch(train) [108][25/125] lr: 8.0000e-03 eta: 0:46:03 time: 0.3623 data_time: 0.0666 memory: 6470 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0094 loss_cls: 0.0757 acc: 96.4844 loss_bbox: 0.1173 loss_mask: 0.1859 loss: 0.3937 2022/08/26 17:44:36 - mmengine - INFO - Epoch(train) [108][30/125] lr: 8.0000e-03 eta: 0:45:59 time: 0.3810 data_time: 0.0819 memory: 6310 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0092 loss_cls: 0.0826 acc: 96.9727 loss_bbox: 0.1281 loss_mask: 0.2024 loss: 0.4288 2022/08/26 17:44:37 - mmengine - INFO - Epoch(train) [108][35/125] lr: 8.0000e-03 eta: 0:45:59 time: 0.3509 data_time: 0.0844 memory: 6238 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0079 loss_cls: 0.0685 acc: 98.4619 loss_bbox: 0.1051 loss_mask: 0.2073 loss: 0.3952 2022/08/26 17:44:40 - mmengine - INFO - Epoch(train) [108][40/125] lr: 8.0000e-03 eta: 0:45:55 time: 0.4201 data_time: 0.1309 memory: 6235 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0073 loss_cls: 0.0689 acc: 97.1680 loss_bbox: 0.0975 loss_mask: 0.2040 loss: 0.3830 2022/08/26 17:44:42 - mmengine - INFO - Epoch(train) [108][45/125] lr: 8.0000e-03 eta: 0:45:55 time: 0.5168 data_time: 0.2191 memory: 6450 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0090 loss_cls: 0.0874 acc: 97.3389 loss_bbox: 0.1247 loss_mask: 0.2085 loss: 0.4374 2022/08/26 17:44:47 - mmengine - INFO - Epoch(train) [108][50/125] lr: 8.0000e-03 eta: 0:45:52 time: 0.6923 data_time: 0.3119 memory: 6580 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0098 loss_cls: 0.0906 acc: 97.1924 loss_bbox: 0.1352 loss_mask: 0.2027 loss: 0.4472 2022/08/26 17:44:48 - mmengine - INFO - Epoch(train) [108][55/125] lr: 8.0000e-03 eta: 0:45:52 time: 0.5760 data_time: 0.1989 memory: 6682 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0133 loss_cls: 0.0834 acc: 93.6523 loss_bbox: 0.1244 loss_mask: 0.1929 loss: 0.4225 2022/08/26 17:44:50 - mmengine - INFO - Epoch(train) [108][60/125] lr: 8.0000e-03 eta: 0:45:47 time: 0.3479 data_time: 0.0769 memory: 6212 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0143 loss_cls: 0.0760 acc: 96.3623 loss_bbox: 0.1154 loss_mask: 0.1867 loss: 0.4008 2022/08/26 17:44:52 - mmengine - INFO - Epoch(train) [108][65/125] lr: 8.0000e-03 eta: 0:45:47 time: 0.3953 data_time: 0.1236 memory: 6555 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0107 loss_cls: 0.0771 acc: 95.8740 loss_bbox: 0.1170 loss_mask: 0.1940 loss: 0.4052 2022/08/26 17:44:54 - mmengine - INFO - Epoch(train) [108][70/125] lr: 8.0000e-03 eta: 0:45:43 time: 0.3645 data_time: 0.0913 memory: 6496 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0103 loss_cls: 0.0783 acc: 97.4854 loss_bbox: 0.1194 loss_mask: 0.1974 loss: 0.4107 2022/08/26 17:44:56 - mmengine - INFO - Epoch(train) [108][75/125] lr: 8.0000e-03 eta: 0:45:43 time: 0.3358 data_time: 0.0628 memory: 6630 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0092 loss_cls: 0.0832 acc: 97.3389 loss_bbox: 0.1180 loss_mask: 0.1976 loss: 0.4140 2022/08/26 17:44:57 - mmengine - INFO - Epoch(train) [108][80/125] lr: 8.0000e-03 eta: 0:45:38 time: 0.3199 data_time: 0.0423 memory: 6712 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0091 loss_cls: 0.0928 acc: 96.6064 loss_bbox: 0.1339 loss_mask: 0.2095 loss: 0.4535 2022/08/26 17:44:59 - mmengine - INFO - Epoch(train) [108][85/125] lr: 8.0000e-03 eta: 0:45:38 time: 0.3625 data_time: 0.0520 memory: 6228 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0075 loss_cls: 0.0890 acc: 97.1191 loss_bbox: 0.1282 loss_mask: 0.2167 loss: 0.4490 2022/08/26 17:45:02 - mmengine - INFO - Epoch(train) [108][90/125] lr: 8.0000e-03 eta: 0:45:34 time: 0.4726 data_time: 0.1659 memory: 6679 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0098 loss_cls: 0.0900 acc: 95.8740 loss_bbox: 0.1210 loss_mask: 0.2150 loss: 0.4448 2022/08/26 17:45:04 - mmengine - INFO - Epoch(train) [108][95/125] lr: 8.0000e-03 eta: 0:45:34 time: 0.4636 data_time: 0.1935 memory: 6771 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0108 loss_cls: 0.0812 acc: 97.4609 loss_bbox: 0.1202 loss_mask: 0.1972 loss: 0.4196 2022/08/26 17:45:06 - mmengine - INFO - Epoch(train) [108][100/125] lr: 8.0000e-03 eta: 0:45:30 time: 0.3882 data_time: 0.1252 memory: 6819 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0093 loss_cls: 0.0765 acc: 98.7305 loss_bbox: 0.1164 loss_mask: 0.2086 loss: 0.4198 2022/08/26 17:45:07 - mmengine - INFO - Epoch(train) [108][105/125] lr: 8.0000e-03 eta: 0:45:30 time: 0.3569 data_time: 0.0881 memory: 6356 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0101 loss_cls: 0.0784 acc: 98.1201 loss_bbox: 0.1134 loss_mask: 0.2119 loss: 0.4210 2022/08/26 17:45:09 - mmengine - INFO - Epoch(train) [108][110/125] lr: 8.0000e-03 eta: 0:45:26 time: 0.3747 data_time: 0.0953 memory: 6699 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0106 loss_cls: 0.0808 acc: 96.8018 loss_bbox: 0.1214 loss_mask: 0.1938 loss: 0.4125 2022/08/26 17:45:12 - mmengine - INFO - Epoch(train) [108][115/125] lr: 8.0000e-03 eta: 0:45:26 time: 0.4346 data_time: 0.1557 memory: 6845 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0121 loss_cls: 0.1015 acc: 96.2158 loss_bbox: 0.1522 loss_mask: 0.2120 loss: 0.4868 2022/08/26 17:45:14 - mmengine - INFO - Epoch(train) [108][120/125] lr: 8.0000e-03 eta: 0:45:22 time: 0.4316 data_time: 0.1568 memory: 6597 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0126 loss_cls: 0.1050 acc: 96.8018 loss_bbox: 0.1554 loss_mask: 0.2134 loss: 0.4956 2022/08/26 17:45:16 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:45:16 - mmengine - INFO - Epoch(train) [108][125/125] lr: 8.0000e-03 eta: 0:45:22 time: 0.3855 data_time: 0.1180 memory: 6330 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0121 loss_cls: 0.0874 acc: 96.4111 loss_bbox: 0.1282 loss_mask: 0.1966 loss: 0.4318 2022/08/26 17:45:19 - mmengine - INFO - Epoch(train) [109][5/125] lr: 8.0000e-03 eta: 0:45:22 time: 0.4976 data_time: 0.2124 memory: 6783 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0113 loss_cls: 0.0804 acc: 95.9717 loss_bbox: 0.1242 loss_mask: 0.1892 loss: 0.4145 2022/08/26 17:45:22 - mmengine - INFO - Epoch(train) [109][10/125] lr: 8.0000e-03 eta: 0:45:15 time: 0.6112 data_time: 0.3239 memory: 6418 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0108 loss_cls: 0.0865 acc: 95.1172 loss_bbox: 0.1303 loss_mask: 0.1898 loss: 0.4265 2022/08/26 17:45:24 - mmengine - INFO - Epoch(train) [109][15/125] lr: 8.0000e-03 eta: 0:45:15 time: 0.5291 data_time: 0.2574 memory: 6578 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0113 loss_cls: 0.0964 acc: 96.8506 loss_bbox: 0.1344 loss_mask: 0.2015 loss: 0.4506 2022/08/26 17:45:26 - mmengine - INFO - Epoch(train) [109][20/125] lr: 8.0000e-03 eta: 0:45:11 time: 0.4437 data_time: 0.1699 memory: 6947 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0118 loss_cls: 0.0938 acc: 97.8760 loss_bbox: 0.1365 loss_mask: 0.1976 loss: 0.4491 2022/08/26 17:45:30 - mmengine - INFO - Epoch(train) [109][25/125] lr: 8.0000e-03 eta: 0:45:11 time: 0.5966 data_time: 0.2589 memory: 6587 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0111 loss_cls: 0.0831 acc: 95.9473 loss_bbox: 0.1209 loss_mask: 0.1913 loss: 0.4175 2022/08/26 17:45:32 - mmengine - INFO - Epoch(train) [109][30/125] lr: 8.0000e-03 eta: 0:45:08 time: 0.5400 data_time: 0.2013 memory: 6717 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0100 loss_cls: 0.0821 acc: 96.1670 loss_bbox: 0.1131 loss_mask: 0.2032 loss: 0.4183 2022/08/26 17:45:33 - mmengine - INFO - Epoch(train) [109][35/125] lr: 8.0000e-03 eta: 0:45:08 time: 0.3322 data_time: 0.0567 memory: 6327 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0127 loss_cls: 0.0862 acc: 96.4844 loss_bbox: 0.1259 loss_mask: 0.2135 loss: 0.4471 2022/08/26 17:45:35 - mmengine - INFO - Epoch(train) [109][40/125] lr: 8.0000e-03 eta: 0:45:03 time: 0.3428 data_time: 0.0607 memory: 6473 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0124 loss_cls: 0.0837 acc: 96.6309 loss_bbox: 0.1269 loss_mask: 0.1997 loss: 0.4326 2022/08/26 17:45:37 - mmengine - INFO - Epoch(train) [109][45/125] lr: 8.0000e-03 eta: 0:45:03 time: 0.3962 data_time: 0.1169 memory: 6422 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0108 loss_cls: 0.0814 acc: 98.4375 loss_bbox: 0.1199 loss_mask: 0.1950 loss: 0.4172 2022/08/26 17:45:39 - mmengine - INFO - Epoch(train) [109][50/125] lr: 8.0000e-03 eta: 0:44:59 time: 0.4184 data_time: 0.1417 memory: 6666 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0141 loss_cls: 0.0853 acc: 97.1436 loss_bbox: 0.1263 loss_mask: 0.2080 loss: 0.4429 2022/08/26 17:45:41 - mmengine - INFO - Epoch(train) [109][55/125] lr: 8.0000e-03 eta: 0:44:59 time: 0.4008 data_time: 0.0770 memory: 7730 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0148 loss_cls: 0.0859 acc: 96.0449 loss_bbox: 0.1286 loss_mask: 0.2009 loss: 0.4383 2022/08/26 17:45:43 - mmengine - INFO - Epoch(train) [109][60/125] lr: 8.0000e-03 eta: 0:44:54 time: 0.3817 data_time: 0.0588 memory: 6596 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0136 loss_cls: 0.0868 acc: 94.9707 loss_bbox: 0.1354 loss_mask: 0.2041 loss: 0.4485 2022/08/26 17:45:45 - mmengine - INFO - Epoch(train) [109][65/125] lr: 8.0000e-03 eta: 0:44:54 time: 0.3347 data_time: 0.0648 memory: 6337 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0105 loss_cls: 0.0803 acc: 98.1201 loss_bbox: 0.1258 loss_mask: 0.2114 loss: 0.4355 2022/08/26 17:45:47 - mmengine - INFO - Epoch(train) [109][70/125] lr: 8.0000e-03 eta: 0:44:50 time: 0.3671 data_time: 0.0786 memory: 6433 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0082 loss_cls: 0.0703 acc: 96.3867 loss_bbox: 0.1115 loss_mask: 0.1959 loss: 0.3901 2022/08/26 17:45:49 - mmengine - INFO - Epoch(train) [109][75/125] lr: 8.0000e-03 eta: 0:44:50 time: 0.4289 data_time: 0.1208 memory: 6487 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0092 loss_cls: 0.0716 acc: 98.8770 loss_bbox: 0.1100 loss_mask: 0.1858 loss: 0.3830 2022/08/26 17:45:51 - mmengine - INFO - Epoch(train) [109][80/125] lr: 8.0000e-03 eta: 0:44:46 time: 0.4201 data_time: 0.1290 memory: 6555 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0118 loss_cls: 0.0885 acc: 95.6299 loss_bbox: 0.1365 loss_mask: 0.2049 loss: 0.4512 2022/08/26 17:45:53 - mmengine - INFO - Epoch(train) [109][85/125] lr: 8.0000e-03 eta: 0:44:46 time: 0.4281 data_time: 0.1062 memory: 6222 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0121 loss_cls: 0.0845 acc: 96.4111 loss_bbox: 0.1358 loss_mask: 0.2180 loss: 0.4593 2022/08/26 17:45:55 - mmengine - INFO - Epoch(train) [109][90/125] lr: 8.0000e-03 eta: 0:44:42 time: 0.4191 data_time: 0.0978 memory: 6976 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0099 loss_cls: 0.0761 acc: 97.3389 loss_bbox: 0.1183 loss_mask: 0.2019 loss: 0.4129 2022/08/26 17:45:57 - mmengine - INFO - Epoch(train) [109][95/125] lr: 8.0000e-03 eta: 0:44:42 time: 0.3598 data_time: 0.0845 memory: 6545 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0091 loss_cls: 0.0813 acc: 97.3145 loss_bbox: 0.1345 loss_mask: 0.1923 loss: 0.4246 2022/08/26 17:45:59 - mmengine - INFO - Epoch(train) [109][100/125] lr: 8.0000e-03 eta: 0:44:37 time: 0.4143 data_time: 0.1155 memory: 6493 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0121 loss_cls: 0.0740 acc: 97.1191 loss_bbox: 0.1288 loss_mask: 0.1943 loss: 0.4160 2022/08/26 17:46:01 - mmengine - INFO - Epoch(train) [109][105/125] lr: 8.0000e-03 eta: 0:44:37 time: 0.4063 data_time: 0.1063 memory: 6551 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0128 loss_cls: 0.0794 acc: 97.5830 loss_bbox: 0.1278 loss_mask: 0.1858 loss: 0.4132 2022/08/26 17:46:03 - mmengine - INFO - Epoch(train) [109][110/125] lr: 8.0000e-03 eta: 0:44:33 time: 0.3452 data_time: 0.0733 memory: 6274 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0123 loss_cls: 0.0850 acc: 96.3867 loss_bbox: 0.1271 loss_mask: 0.1912 loss: 0.4245 2022/08/26 17:46:04 - mmengine - INFO - Epoch(train) [109][115/125] lr: 8.0000e-03 eta: 0:44:33 time: 0.3534 data_time: 0.0810 memory: 6369 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0114 loss_cls: 0.0837 acc: 96.5088 loss_bbox: 0.1202 loss_mask: 0.1992 loss: 0.4218 2022/08/26 17:46:06 - mmengine - INFO - Epoch(train) [109][120/125] lr: 8.0000e-03 eta: 0:44:28 time: 0.3545 data_time: 0.0811 memory: 6440 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0089 loss_cls: 0.0764 acc: 97.7051 loss_bbox: 0.1129 loss_mask: 0.1920 loss: 0.3968 2022/08/26 17:46:08 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:46:08 - mmengine - INFO - Epoch(train) [109][125/125] lr: 8.0000e-03 eta: 0:44:28 time: 0.3234 data_time: 0.0557 memory: 6320 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0088 loss_cls: 0.0733 acc: 98.3154 loss_bbox: 0.1116 loss_mask: 0.1936 loss: 0.3939 2022/08/26 17:46:11 - mmengine - INFO - Epoch(train) [110][5/125] lr: 8.0000e-03 eta: 0:44:28 time: 0.4483 data_time: 0.1503 memory: 6479 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0089 loss_cls: 0.0828 acc: 97.4609 loss_bbox: 0.1250 loss_mask: 0.1945 loss: 0.4178 2022/08/26 17:46:13 - mmengine - INFO - Epoch(train) [110][10/125] lr: 8.0000e-03 eta: 0:44:22 time: 0.5139 data_time: 0.2054 memory: 6904 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0154 loss_cls: 0.0951 acc: 95.1904 loss_bbox: 0.1426 loss_mask: 0.1903 loss: 0.4518 2022/08/26 17:46:15 - mmengine - INFO - Epoch(train) [110][15/125] lr: 8.0000e-03 eta: 0:44:22 time: 0.3800 data_time: 0.1056 memory: 6327 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0167 loss_cls: 0.0876 acc: 96.2891 loss_bbox: 0.1286 loss_mask: 0.1958 loss: 0.4377 2022/08/26 17:46:17 - mmengine - INFO - Epoch(train) [110][20/125] lr: 8.0000e-03 eta: 0:44:17 time: 0.3445 data_time: 0.0748 memory: 6321 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0111 loss_cls: 0.0786 acc: 96.5332 loss_bbox: 0.1148 loss_mask: 0.2107 loss: 0.4215 2022/08/26 17:46:18 - mmengine - INFO - Epoch(train) [110][25/125] lr: 8.0000e-03 eta: 0:44:17 time: 0.3485 data_time: 0.0712 memory: 6529 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0118 loss_cls: 0.0834 acc: 96.8994 loss_bbox: 0.1289 loss_mask: 0.2009 loss: 0.4308 2022/08/26 17:46:22 - mmengine - INFO - Epoch(train) [110][30/125] lr: 8.0000e-03 eta: 0:44:13 time: 0.4923 data_time: 0.1872 memory: 6350 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0104 loss_cls: 0.0844 acc: 97.2900 loss_bbox: 0.1266 loss_mask: 0.1867 loss: 0.4147 2022/08/26 17:46:23 - mmengine - INFO - Epoch(train) [110][35/125] lr: 8.0000e-03 eta: 0:44:13 time: 0.4730 data_time: 0.1778 memory: 6160 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0085 loss_cls: 0.0685 acc: 98.9014 loss_bbox: 0.0974 loss_mask: 0.1847 loss: 0.3673 2022/08/26 17:46:25 - mmengine - INFO - Epoch(train) [110][40/125] lr: 8.0000e-03 eta: 0:44:09 time: 0.3254 data_time: 0.0613 memory: 6389 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0097 loss_cls: 0.0728 acc: 95.3613 loss_bbox: 0.0987 loss_mask: 0.1970 loss: 0.3866 2022/08/26 17:46:27 - mmengine - INFO - Epoch(train) [110][45/125] lr: 8.0000e-03 eta: 0:44:09 time: 0.3695 data_time: 0.0773 memory: 6666 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0113 loss_cls: 0.0933 acc: 97.0215 loss_bbox: 0.1317 loss_mask: 0.2087 loss: 0.4522 2022/08/26 17:46:30 - mmengine - INFO - Epoch(train) [110][50/125] lr: 8.0000e-03 eta: 0:44:05 time: 0.4666 data_time: 0.0917 memory: 6639 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0130 loss_cls: 0.0851 acc: 97.2412 loss_bbox: 0.1284 loss_mask: 0.1998 loss: 0.4343 2022/08/26 17:46:32 - mmengine - INFO - Epoch(train) [110][55/125] lr: 8.0000e-03 eta: 0:44:05 time: 0.5107 data_time: 0.1270 memory: 7772 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0135 loss_cls: 0.0847 acc: 94.9463 loss_bbox: 0.1302 loss_mask: 0.1995 loss: 0.4364 2022/08/26 17:46:33 - mmengine - INFO - Epoch(train) [110][60/125] lr: 8.0000e-03 eta: 0:44:00 time: 0.3990 data_time: 0.1019 memory: 6606 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0113 loss_cls: 0.0767 acc: 98.3643 loss_bbox: 0.1230 loss_mask: 0.1965 loss: 0.4136 2022/08/26 17:46:35 - mmengine - INFO - Epoch(train) [110][65/125] lr: 8.0000e-03 eta: 0:44:00 time: 0.3323 data_time: 0.0623 memory: 6166 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0082 loss_cls: 0.0707 acc: 95.5566 loss_bbox: 0.1049 loss_mask: 0.1945 loss: 0.3839 2022/08/26 17:46:37 - mmengine - INFO - Epoch(train) [110][70/125] lr: 8.0000e-03 eta: 0:43:56 time: 0.3379 data_time: 0.0607 memory: 6124 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0074 loss_cls: 0.0755 acc: 97.7295 loss_bbox: 0.1095 loss_mask: 0.1900 loss: 0.3882 2022/08/26 17:46:39 - mmengine - INFO - Epoch(train) [110][75/125] lr: 8.0000e-03 eta: 0:43:56 time: 0.3805 data_time: 0.1037 memory: 6333 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0094 loss_cls: 0.0798 acc: 97.6318 loss_bbox: 0.1152 loss_mask: 0.1925 loss: 0.4028 2022/08/26 17:46:41 - mmengine - INFO - Epoch(train) [110][80/125] lr: 8.0000e-03 eta: 0:43:52 time: 0.3790 data_time: 0.1028 memory: 6705 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0109 loss_cls: 0.0857 acc: 95.8496 loss_bbox: 0.1225 loss_mask: 0.2033 loss: 0.4302 2022/08/26 17:46:43 - mmengine - INFO - Epoch(train) [110][85/125] lr: 8.0000e-03 eta: 0:43:52 time: 0.3803 data_time: 0.1117 memory: 6164 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0094 loss_cls: 0.0778 acc: 97.8027 loss_bbox: 0.1176 loss_mask: 0.1989 loss: 0.4108 2022/08/26 17:46:45 - mmengine - INFO - Epoch(train) [110][90/125] lr: 8.0000e-03 eta: 0:43:47 time: 0.4307 data_time: 0.1386 memory: 6934 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0103 loss_cls: 0.0776 acc: 96.1182 loss_bbox: 0.1175 loss_mask: 0.2011 loss: 0.4132 2022/08/26 17:46:47 - mmengine - INFO - Epoch(train) [110][95/125] lr: 8.0000e-03 eta: 0:43:47 time: 0.3872 data_time: 0.0885 memory: 6681 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0107 loss_cls: 0.0826 acc: 95.8252 loss_bbox: 0.1211 loss_mask: 0.2077 loss: 0.4281 2022/08/26 17:46:48 - mmengine - INFO - Epoch(train) [110][100/125] lr: 8.0000e-03 eta: 0:43:43 time: 0.3486 data_time: 0.0710 memory: 6367 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0095 loss_cls: 0.0825 acc: 96.9238 loss_bbox: 0.1197 loss_mask: 0.2157 loss: 0.4334 2022/08/26 17:46:50 - mmengine - INFO - Epoch(train) [110][105/125] lr: 8.0000e-03 eta: 0:43:43 time: 0.3592 data_time: 0.0866 memory: 6156 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0091 loss_cls: 0.0767 acc: 97.0703 loss_bbox: 0.1079 loss_mask: 0.2058 loss: 0.4060 2022/08/26 17:46:52 - mmengine - INFO - Epoch(train) [110][110/125] lr: 8.0000e-03 eta: 0:43:39 time: 0.3674 data_time: 0.0786 memory: 6761 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0116 loss_cls: 0.0897 acc: 97.8760 loss_bbox: 0.1285 loss_mask: 0.2044 loss: 0.4423 2022/08/26 17:46:54 - mmengine - INFO - Epoch(train) [110][115/125] lr: 8.0000e-03 eta: 0:43:39 time: 0.3920 data_time: 0.1015 memory: 6460 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0107 loss_cls: 0.0896 acc: 97.9980 loss_bbox: 0.1292 loss_mask: 0.2084 loss: 0.4464 2022/08/26 17:46:57 - mmengine - INFO - Epoch(train) [110][120/125] lr: 8.0000e-03 eta: 0:43:34 time: 0.4389 data_time: 0.1202 memory: 6431 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0101 loss_cls: 0.0714 acc: 97.6318 loss_bbox: 0.1066 loss_mask: 0.2014 loss: 0.3964 2022/08/26 17:46:58 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:46:58 - mmengine - INFO - Epoch(train) [110][125/125] lr: 8.0000e-03 eta: 0:43:34 time: 0.3876 data_time: 0.0665 memory: 6449 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0127 loss_cls: 0.0814 acc: 97.4854 loss_bbox: 0.1234 loss_mask: 0.2127 loss: 0.4391 2022/08/26 17:47:02 - mmengine - INFO - Epoch(train) [111][5/125] lr: 8.0000e-03 eta: 0:43:34 time: 0.5214 data_time: 0.2435 memory: 6114 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0113 loss_cls: 0.0867 acc: 97.0215 loss_bbox: 0.1193 loss_mask: 0.2045 loss: 0.4299 2022/08/26 17:47:04 - mmengine - INFO - Epoch(train) [111][10/125] lr: 8.0000e-03 eta: 0:43:28 time: 0.5282 data_time: 0.2494 memory: 6425 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0101 loss_cls: 0.0831 acc: 97.2412 loss_bbox: 0.1177 loss_mask: 0.1978 loss: 0.4146 2022/08/26 17:47:05 - mmengine - INFO - Epoch(train) [111][15/125] lr: 8.0000e-03 eta: 0:43:28 time: 0.3607 data_time: 0.0847 memory: 6375 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0104 loss_cls: 0.0803 acc: 97.3389 loss_bbox: 0.1256 loss_mask: 0.2003 loss: 0.4239 2022/08/26 17:47:08 - mmengine - INFO - Epoch(train) [111][20/125] lr: 8.0000e-03 eta: 0:43:23 time: 0.4008 data_time: 0.1215 memory: 6450 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0156 loss_cls: 0.0830 acc: 96.5576 loss_bbox: 0.1238 loss_mask: 0.1958 loss: 0.4275 2022/08/26 17:47:10 - mmengine - INFO - Epoch(train) [111][25/125] lr: 8.0000e-03 eta: 0:43:23 time: 0.4940 data_time: 0.1076 memory: 6217 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0144 loss_cls: 0.0834 acc: 97.3145 loss_bbox: 0.1148 loss_mask: 0.1987 loss: 0.4185 2022/08/26 17:47:12 - mmengine - INFO - Epoch(train) [111][30/125] lr: 8.0000e-03 eta: 0:43:20 time: 0.4724 data_time: 0.0906 memory: 6689 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0108 loss_cls: 0.0726 acc: 99.2676 loss_bbox: 0.1061 loss_mask: 0.1930 loss: 0.3875 2022/08/26 17:47:14 - mmengine - INFO - Epoch(train) [111][35/125] lr: 8.0000e-03 eta: 0:43:20 time: 0.3655 data_time: 0.0897 memory: 6450 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0127 loss_cls: 0.0729 acc: 97.5830 loss_bbox: 0.1143 loss_mask: 0.1853 loss: 0.3911 2022/08/26 17:47:16 - mmengine - INFO - Epoch(train) [111][40/125] lr: 8.0000e-03 eta: 0:43:15 time: 0.3904 data_time: 0.1159 memory: 6409 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0100 loss_cls: 0.0790 acc: 97.3877 loss_bbox: 0.1177 loss_mask: 0.2054 loss: 0.4197 2022/08/26 17:47:18 - mmengine - INFO - Epoch(train) [111][45/125] lr: 8.0000e-03 eta: 0:43:15 time: 0.3740 data_time: 0.1018 memory: 6379 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0088 loss_cls: 0.0772 acc: 97.0947 loss_bbox: 0.1134 loss_mask: 0.2168 loss: 0.4241 2022/08/26 17:47:20 - mmengine - INFO - Epoch(train) [111][50/125] lr: 8.0000e-03 eta: 0:43:11 time: 0.3492 data_time: 0.0705 memory: 6476 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0119 loss_cls: 0.0796 acc: 96.0693 loss_bbox: 0.1195 loss_mask: 0.2038 loss: 0.4219 2022/08/26 17:47:21 - mmengine - INFO - Epoch(train) [111][55/125] lr: 8.0000e-03 eta: 0:43:11 time: 0.3576 data_time: 0.0777 memory: 6301 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0117 loss_cls: 0.0771 acc: 96.6797 loss_bbox: 0.1159 loss_mask: 0.2001 loss: 0.4119 2022/08/26 17:47:23 - mmengine - INFO - Epoch(train) [111][60/125] lr: 8.0000e-03 eta: 0:43:06 time: 0.3524 data_time: 0.0768 memory: 6350 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0099 loss_cls: 0.0745 acc: 97.5342 loss_bbox: 0.1159 loss_mask: 0.1941 loss: 0.4015 2022/08/26 17:47:25 - mmengine - INFO - Epoch(train) [111][65/125] lr: 8.0000e-03 eta: 0:43:06 time: 0.3446 data_time: 0.0663 memory: 6806 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0114 loss_cls: 0.0870 acc: 97.8760 loss_bbox: 0.1325 loss_mask: 0.2040 loss: 0.4422 2022/08/26 17:47:28 - mmengine - INFO - Epoch(train) [111][70/125] lr: 8.0000e-03 eta: 0:43:03 time: 0.5312 data_time: 0.2255 memory: 6317 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0112 loss_cls: 0.0938 acc: 95.0684 loss_bbox: 0.1341 loss_mask: 0.2044 loss: 0.4502 2022/08/26 17:47:30 - mmengine - INFO - Epoch(train) [111][75/125] lr: 8.0000e-03 eta: 0:43:03 time: 0.5203 data_time: 0.2172 memory: 6548 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0092 loss_cls: 0.0900 acc: 96.7773 loss_bbox: 0.1251 loss_mask: 0.1973 loss: 0.4290 2022/08/26 17:47:32 - mmengine - INFO - Epoch(train) [111][80/125] lr: 8.0000e-03 eta: 0:42:58 time: 0.3104 data_time: 0.0412 memory: 6039 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0075 loss_cls: 0.0762 acc: 97.1680 loss_bbox: 0.1077 loss_mask: 0.1966 loss: 0.3952 2022/08/26 17:47:33 - mmengine - INFO - Epoch(train) [111][85/125] lr: 8.0000e-03 eta: 0:42:58 time: 0.3142 data_time: 0.0408 memory: 6642 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0078 loss_cls: 0.0767 acc: 96.4844 loss_bbox: 0.1152 loss_mask: 0.2056 loss: 0.4119 2022/08/26 17:47:35 - mmengine - INFO - Epoch(train) [111][90/125] lr: 8.0000e-03 eta: 0:42:53 time: 0.3215 data_time: 0.0404 memory: 6645 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0093 loss_cls: 0.0891 acc: 96.2646 loss_bbox: 0.1310 loss_mask: 0.2174 loss: 0.4556 2022/08/26 17:47:37 - mmengine - INFO - Epoch(train) [111][95/125] lr: 8.0000e-03 eta: 0:42:53 time: 0.3463 data_time: 0.0759 memory: 6098 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0088 loss_cls: 0.0857 acc: 96.7773 loss_bbox: 0.1170 loss_mask: 0.1994 loss: 0.4191 2022/08/26 17:47:39 - mmengine - INFO - Epoch(train) [111][100/125] lr: 8.0000e-03 eta: 0:42:49 time: 0.3867 data_time: 0.0852 memory: 6591 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0089 loss_cls: 0.0828 acc: 97.0703 loss_bbox: 0.1182 loss_mask: 0.1935 loss: 0.4099 2022/08/26 17:47:41 - mmengine - INFO - Epoch(train) [111][105/125] lr: 8.0000e-03 eta: 0:42:49 time: 0.4026 data_time: 0.0916 memory: 6541 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0096 loss_cls: 0.0793 acc: 95.9229 loss_bbox: 0.1155 loss_mask: 0.1951 loss: 0.4043 2022/08/26 17:47:42 - mmengine - INFO - Epoch(train) [111][110/125] lr: 8.0000e-03 eta: 0:42:45 time: 0.3561 data_time: 0.0761 memory: 6503 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0105 loss_cls: 0.0749 acc: 97.4121 loss_bbox: 0.1090 loss_mask: 0.1932 loss: 0.3917 2022/08/26 17:47:44 - mmengine - INFO - Epoch(train) [111][115/125] lr: 8.0000e-03 eta: 0:42:45 time: 0.3377 data_time: 0.0584 memory: 6525 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0102 loss_cls: 0.0808 acc: 96.7773 loss_bbox: 0.1216 loss_mask: 0.1932 loss: 0.4120 2022/08/26 17:47:47 - mmengine - INFO - Epoch(train) [111][120/125] lr: 8.0000e-03 eta: 0:42:41 time: 0.4599 data_time: 0.1822 memory: 6621 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0106 loss_cls: 0.0899 acc: 95.8740 loss_bbox: 0.1312 loss_mask: 0.1898 loss: 0.4303 2022/08/26 17:47:50 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:47:50 - mmengine - INFO - Epoch(train) [111][125/125] lr: 8.0000e-03 eta: 0:42:41 time: 0.5795 data_time: 0.1862 memory: 6264 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0103 loss_cls: 0.0865 acc: 97.3633 loss_bbox: 0.1240 loss_mask: 0.1873 loss: 0.4162 2022/08/26 17:47:54 - mmengine - INFO - Epoch(train) [112][5/125] lr: 8.0000e-03 eta: 0:42:41 time: 0.7433 data_time: 0.3234 memory: 6408 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0101 loss_cls: 0.0846 acc: 95.8252 loss_bbox: 0.1230 loss_mask: 0.1964 loss: 0.4227 2022/08/26 17:47:57 - mmengine - INFO - Epoch(train) [112][10/125] lr: 8.0000e-03 eta: 0:42:35 time: 0.6923 data_time: 0.3940 memory: 6463 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0099 loss_cls: 0.0827 acc: 97.9492 loss_bbox: 0.1174 loss_mask: 0.2000 loss: 0.4186 2022/08/26 17:47:59 - mmengine - INFO - Epoch(train) [112][15/125] lr: 8.0000e-03 eta: 0:42:35 time: 0.5078 data_time: 0.2337 memory: 6388 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0092 loss_cls: 0.0872 acc: 95.5322 loss_bbox: 0.1189 loss_mask: 0.2054 loss: 0.4271 2022/08/26 17:48:01 - mmengine - INFO - Epoch(train) [112][20/125] lr: 8.0000e-03 eta: 0:42:30 time: 0.4318 data_time: 0.1531 memory: 6676 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0090 loss_cls: 0.0798 acc: 96.0938 loss_bbox: 0.1205 loss_mask: 0.2002 loss: 0.4142 2022/08/26 17:48:03 - mmengine - INFO - Epoch(train) [112][25/125] lr: 8.0000e-03 eta: 0:42:30 time: 0.3407 data_time: 0.0684 memory: 6333 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0080 loss_cls: 0.0693 acc: 96.5576 loss_bbox: 0.1121 loss_mask: 0.1887 loss: 0.3831 2022/08/26 17:48:05 - mmengine - INFO - Epoch(train) [112][30/125] lr: 8.0000e-03 eta: 0:42:26 time: 0.3595 data_time: 0.0889 memory: 6389 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0086 loss_cls: 0.0841 acc: 96.5088 loss_bbox: 0.1270 loss_mask: 0.1986 loss: 0.4267 2022/08/26 17:48:06 - mmengine - INFO - Epoch(train) [112][35/125] lr: 8.0000e-03 eta: 0:42:26 time: 0.3611 data_time: 0.0914 memory: 6249 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0077 loss_cls: 0.0830 acc: 95.8740 loss_bbox: 0.1203 loss_mask: 0.2012 loss: 0.4198 2022/08/26 17:48:09 - mmengine - INFO - Epoch(train) [112][40/125] lr: 8.0000e-03 eta: 0:42:22 time: 0.4226 data_time: 0.0844 memory: 6767 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0072 loss_cls: 0.0778 acc: 95.6787 loss_bbox: 0.1203 loss_mask: 0.1978 loss: 0.4087 2022/08/26 17:48:11 - mmengine - INFO - Epoch(train) [112][45/125] lr: 8.0000e-03 eta: 0:42:22 time: 0.4359 data_time: 0.0926 memory: 6921 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0113 loss_cls: 0.0837 acc: 97.6807 loss_bbox: 0.1306 loss_mask: 0.1940 loss: 0.4281 2022/08/26 17:48:13 - mmengine - INFO - Epoch(train) [112][50/125] lr: 8.0000e-03 eta: 0:42:18 time: 0.3838 data_time: 0.1093 memory: 6474 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0147 loss_cls: 0.0907 acc: 96.0449 loss_bbox: 0.1305 loss_mask: 0.2032 loss: 0.4493 2022/08/26 17:48:15 - mmengine - INFO - Epoch(train) [112][55/125] lr: 8.0000e-03 eta: 0:42:18 time: 0.4045 data_time: 0.1082 memory: 7627 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0131 loss_cls: 0.0892 acc: 98.4131 loss_bbox: 0.1344 loss_mask: 0.2140 loss: 0.4603 2022/08/26 17:48:17 - mmengine - INFO - Epoch(train) [112][60/125] lr: 8.0000e-03 eta: 0:42:13 time: 0.3684 data_time: 0.0652 memory: 6823 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0120 loss_cls: 0.0885 acc: 97.2412 loss_bbox: 0.1392 loss_mask: 0.2101 loss: 0.4615 2022/08/26 17:48:18 - mmengine - INFO - Epoch(train) [112][65/125] lr: 8.0000e-03 eta: 0:42:13 time: 0.3327 data_time: 0.0542 memory: 6503 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0128 loss_cls: 0.0926 acc: 97.5342 loss_bbox: 0.1383 loss_mask: 0.2047 loss: 0.4591 2022/08/26 17:48:20 - mmengine - INFO - Epoch(train) [112][70/125] lr: 8.0000e-03 eta: 0:42:09 time: 0.3722 data_time: 0.0761 memory: 6483 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0107 loss_cls: 0.0896 acc: 94.9707 loss_bbox: 0.1265 loss_mask: 0.2110 loss: 0.4446 2022/08/26 17:48:22 - mmengine - INFO - Epoch(train) [112][75/125] lr: 8.0000e-03 eta: 0:42:09 time: 0.3750 data_time: 0.0757 memory: 6895 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0100 loss_cls: 0.0939 acc: 96.5576 loss_bbox: 0.1335 loss_mask: 0.2136 loss: 0.4590 2022/08/26 17:48:24 - mmengine - INFO - Epoch(train) [112][80/125] lr: 8.0000e-03 eta: 0:42:04 time: 0.3577 data_time: 0.0879 memory: 6347 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0094 loss_cls: 0.0875 acc: 97.4609 loss_bbox: 0.1215 loss_mask: 0.2065 loss: 0.4334 2022/08/26 17:48:26 - mmengine - INFO - Epoch(train) [112][85/125] lr: 8.0000e-03 eta: 0:42:04 time: 0.3722 data_time: 0.1042 memory: 6051 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0086 loss_cls: 0.0680 acc: 97.7295 loss_bbox: 0.0968 loss_mask: 0.1973 loss: 0.3777 2022/08/26 17:48:27 - mmengine - INFO - Epoch(train) [112][90/125] lr: 8.0000e-03 eta: 0:42:00 time: 0.3517 data_time: 0.0779 memory: 6669 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0114 loss_cls: 0.0723 acc: 97.1680 loss_bbox: 0.1107 loss_mask: 0.1885 loss: 0.3903 2022/08/26 17:48:30 - mmengine - INFO - Epoch(train) [112][95/125] lr: 8.0000e-03 eta: 0:42:00 time: 0.4021 data_time: 0.0915 memory: 6431 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0122 loss_cls: 0.0792 acc: 96.8750 loss_bbox: 0.1173 loss_mask: 0.1897 loss: 0.4061 2022/08/26 17:48:31 - mmengine - INFO - Epoch(train) [112][100/125] lr: 8.0000e-03 eta: 0:41:56 time: 0.4075 data_time: 0.0978 memory: 6440 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0135 loss_cls: 0.0785 acc: 97.9980 loss_bbox: 0.1182 loss_mask: 0.1991 loss: 0.4175 2022/08/26 17:48:33 - mmengine - INFO - Epoch(train) [112][105/125] lr: 8.0000e-03 eta: 0:41:56 time: 0.3449 data_time: 0.0707 memory: 6551 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0137 loss_cls: 0.0811 acc: 95.0439 loss_bbox: 0.1225 loss_mask: 0.2139 loss: 0.4383 2022/08/26 17:48:36 - mmengine - INFO - Epoch(train) [112][110/125] lr: 8.0000e-03 eta: 0:41:51 time: 0.4217 data_time: 0.1209 memory: 7836 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0136 loss_cls: 0.0915 acc: 93.5791 loss_bbox: 0.1377 loss_mask: 0.2080 loss: 0.4581 2022/08/26 17:48:37 - mmengine - INFO - Epoch(train) [112][115/125] lr: 8.0000e-03 eta: 0:41:51 time: 0.4148 data_time: 0.1119 memory: 6317 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0128 loss_cls: 0.0945 acc: 97.3633 loss_bbox: 0.1407 loss_mask: 0.2035 loss: 0.4589 2022/08/26 17:48:39 - mmengine - INFO - Epoch(train) [112][120/125] lr: 8.0000e-03 eta: 0:41:47 time: 0.3351 data_time: 0.0611 memory: 6228 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0081 loss_cls: 0.0826 acc: 95.8740 loss_bbox: 0.1113 loss_mask: 0.2083 loss: 0.4162 2022/08/26 17:48:40 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:48:40 - mmengine - INFO - Epoch(train) [112][125/125] lr: 8.0000e-03 eta: 0:41:47 time: 0.3226 data_time: 0.0514 memory: 6578 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0076 loss_cls: 0.0790 acc: 97.8027 loss_bbox: 0.1107 loss_mask: 0.2015 loss: 0.4044 2022/08/26 17:48:44 - mmengine - INFO - Epoch(train) [113][5/125] lr: 8.0000e-03 eta: 0:41:47 time: 0.4821 data_time: 0.2087 memory: 6466 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0115 loss_cls: 0.0826 acc: 97.6807 loss_bbox: 0.1279 loss_mask: 0.2022 loss: 0.4303 2022/08/26 17:48:46 - mmengine - INFO - Epoch(train) [113][10/125] lr: 8.0000e-03 eta: 0:41:40 time: 0.5192 data_time: 0.2500 memory: 6392 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0109 loss_cls: 0.0805 acc: 96.8262 loss_bbox: 0.1230 loss_mask: 0.1984 loss: 0.4194 2022/08/26 17:48:48 - mmengine - INFO - Epoch(train) [113][15/125] lr: 8.0000e-03 eta: 0:41:40 time: 0.4057 data_time: 0.0941 memory: 6627 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0098 loss_cls: 0.0798 acc: 94.9707 loss_bbox: 0.1195 loss_mask: 0.1908 loss: 0.4080 2022/08/26 17:48:50 - mmengine - INFO - Epoch(train) [113][20/125] lr: 8.0000e-03 eta: 0:41:36 time: 0.3938 data_time: 0.0801 memory: 6333 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0129 loss_cls: 0.0881 acc: 97.9248 loss_bbox: 0.1276 loss_mask: 0.2042 loss: 0.4426 2022/08/26 17:48:52 - mmengine - INFO - Epoch(train) [113][25/125] lr: 8.0000e-03 eta: 0:41:36 time: 0.3881 data_time: 0.0984 memory: 6728 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0139 loss_cls: 0.1001 acc: 95.9717 loss_bbox: 0.1431 loss_mask: 0.2078 loss: 0.4730 2022/08/26 17:48:53 - mmengine - INFO - Epoch(train) [113][30/125] lr: 8.0000e-03 eta: 0:41:32 time: 0.3732 data_time: 0.0830 memory: 6323 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0140 loss_cls: 0.0978 acc: 95.5322 loss_bbox: 0.1390 loss_mask: 0.2003 loss: 0.4583 2022/08/26 17:48:55 - mmengine - INFO - Epoch(train) [113][35/125] lr: 8.0000e-03 eta: 0:41:32 time: 0.3356 data_time: 0.0653 memory: 6453 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0123 loss_cls: 0.0850 acc: 97.7539 loss_bbox: 0.1208 loss_mask: 0.2020 loss: 0.4282 2022/08/26 17:48:57 - mmengine - INFO - Epoch(train) [113][40/125] lr: 8.0000e-03 eta: 0:41:27 time: 0.3399 data_time: 0.0641 memory: 6800 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0111 loss_cls: 0.0842 acc: 97.3145 loss_bbox: 0.1279 loss_mask: 0.2019 loss: 0.4322 2022/08/26 17:48:59 - mmengine - INFO - Epoch(train) [113][45/125] lr: 8.0000e-03 eta: 0:41:27 time: 0.3594 data_time: 0.0761 memory: 6800 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0129 loss_cls: 0.0912 acc: 94.5557 loss_bbox: 0.1439 loss_mask: 0.2072 loss: 0.4633 2022/08/26 17:49:01 - mmengine - INFO - Epoch(train) [113][50/125] lr: 8.0000e-03 eta: 0:41:23 time: 0.3707 data_time: 0.0942 memory: 6226 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0103 loss_cls: 0.0832 acc: 95.9961 loss_bbox: 0.1314 loss_mask: 0.1969 loss: 0.4283 2022/08/26 17:49:03 - mmengine - INFO - Epoch(train) [113][55/125] lr: 8.0000e-03 eta: 0:41:23 time: 0.3749 data_time: 0.1045 memory: 6754 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0077 loss_cls: 0.0768 acc: 96.2646 loss_bbox: 0.1252 loss_mask: 0.1937 loss: 0.4079 2022/08/26 17:49:04 - mmengine - INFO - Epoch(train) [113][60/125] lr: 8.0000e-03 eta: 0:41:18 time: 0.3653 data_time: 0.0972 memory: 6104 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0082 loss_cls: 0.0705 acc: 97.4854 loss_bbox: 0.1160 loss_mask: 0.1996 loss: 0.3998 2022/08/26 17:49:06 - mmengine - INFO - Epoch(train) [113][65/125] lr: 8.0000e-03 eta: 0:41:18 time: 0.3469 data_time: 0.0778 memory: 6470 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0110 loss_cls: 0.0697 acc: 97.0215 loss_bbox: 0.1121 loss_mask: 0.1900 loss: 0.3887 2022/08/26 17:49:09 - mmengine - INFO - Epoch(train) [113][70/125] lr: 8.0000e-03 eta: 0:41:14 time: 0.4903 data_time: 0.1609 memory: 6498 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0118 loss_cls: 0.0783 acc: 97.5098 loss_bbox: 0.1212 loss_mask: 0.1816 loss: 0.3994 2022/08/26 17:49:11 - mmengine - INFO - Epoch(train) [113][75/125] lr: 8.0000e-03 eta: 0:41:14 time: 0.4671 data_time: 0.1379 memory: 6483 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0117 loss_cls: 0.0812 acc: 96.8018 loss_bbox: 0.1208 loss_mask: 0.1894 loss: 0.4105 2022/08/26 17:49:12 - mmengine - INFO - Epoch(train) [113][80/125] lr: 8.0000e-03 eta: 0:41:10 time: 0.3335 data_time: 0.0538 memory: 6777 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0164 loss_cls: 0.0929 acc: 96.9971 loss_bbox: 0.1432 loss_mask: 0.2040 loss: 0.4669 2022/08/26 17:49:16 - mmengine - INFO - Epoch(train) [113][85/125] lr: 8.0000e-03 eta: 0:41:10 time: 0.4887 data_time: 0.2136 memory: 6121 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0131 loss_cls: 0.0837 acc: 97.0703 loss_bbox: 0.1249 loss_mask: 0.2070 loss: 0.4373 2022/08/26 17:49:18 - mmengine - INFO - Epoch(train) [113][90/125] lr: 8.0000e-03 eta: 0:41:06 time: 0.5411 data_time: 0.2670 memory: 6190 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0092 loss_cls: 0.0695 acc: 97.5586 loss_bbox: 0.0977 loss_mask: 0.2028 loss: 0.3882 2022/08/26 17:49:20 - mmengine - INFO - Epoch(train) [113][95/125] lr: 8.0000e-03 eta: 0:41:06 time: 0.4211 data_time: 0.1398 memory: 6245 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0113 loss_cls: 0.0757 acc: 97.0215 loss_bbox: 0.1137 loss_mask: 0.2041 loss: 0.4159 2022/08/26 17:49:22 - mmengine - INFO - Epoch(train) [113][100/125] lr: 8.0000e-03 eta: 0:41:02 time: 0.4032 data_time: 0.1203 memory: 6490 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0107 loss_cls: 0.0715 acc: 97.0215 loss_bbox: 0.1155 loss_mask: 0.1967 loss: 0.4009 2022/08/26 17:49:24 - mmengine - INFO - Epoch(train) [113][105/125] lr: 8.0000e-03 eta: 0:41:02 time: 0.4473 data_time: 0.1719 memory: 6009 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0101 loss_cls: 0.0732 acc: 96.9238 loss_bbox: 0.1099 loss_mask: 0.2057 loss: 0.4043 2022/08/26 17:49:26 - mmengine - INFO - Epoch(train) [113][110/125] lr: 8.0000e-03 eta: 0:40:58 time: 0.4070 data_time: 0.1356 memory: 6393 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0088 loss_cls: 0.0752 acc: 98.6084 loss_bbox: 0.1162 loss_mask: 0.2035 loss: 0.4092 2022/08/26 17:49:28 - mmengine - INFO - Epoch(train) [113][115/125] lr: 8.0000e-03 eta: 0:40:58 time: 0.3330 data_time: 0.0557 memory: 6607 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0087 loss_cls: 0.0763 acc: 96.1914 loss_bbox: 0.1218 loss_mask: 0.1793 loss: 0.3911 2022/08/26 17:49:31 - mmengine - INFO - Epoch(train) [113][120/125] lr: 8.0000e-03 eta: 0:40:54 time: 0.4693 data_time: 0.1402 memory: 6258 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0087 loss_cls: 0.0866 acc: 95.5566 loss_bbox: 0.1234 loss_mask: 0.1894 loss: 0.4136 2022/08/26 17:49:32 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:49:32 - mmengine - INFO - Epoch(train) [113][125/125] lr: 8.0000e-03 eta: 0:40:54 time: 0.4909 data_time: 0.1638 memory: 6695 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0085 loss_cls: 0.0838 acc: 96.6309 loss_bbox: 0.1215 loss_mask: 0.1940 loss: 0.4138 2022/08/26 17:49:37 - mmengine - INFO - Epoch(train) [114][5/125] lr: 8.0000e-03 eta: 0:40:54 time: 0.6447 data_time: 0.3725 memory: 6483 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0107 loss_cls: 0.0766 acc: 97.7051 loss_bbox: 0.1116 loss_mask: 0.1841 loss: 0.3901 2022/08/26 17:49:40 - mmengine - INFO - Epoch(train) [114][10/125] lr: 8.0000e-03 eta: 0:40:48 time: 0.7395 data_time: 0.3923 memory: 6437 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0099 loss_cls: 0.0776 acc: 98.4375 loss_bbox: 0.1076 loss_mask: 0.2031 loss: 0.4069 2022/08/26 17:49:42 - mmengine - INFO - Epoch(train) [114][15/125] lr: 8.0000e-03 eta: 0:40:48 time: 0.4430 data_time: 0.0952 memory: 6678 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0080 loss_cls: 0.0842 acc: 96.3623 loss_bbox: 0.1208 loss_mask: 0.2057 loss: 0.4264 2022/08/26 17:49:44 - mmengine - INFO - Epoch(train) [114][20/125] lr: 8.0000e-03 eta: 0:40:44 time: 0.4302 data_time: 0.1131 memory: 6399 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0086 loss_cls: 0.0908 acc: 95.3613 loss_bbox: 0.1293 loss_mask: 0.1967 loss: 0.4333 2022/08/26 17:49:46 - mmengine - INFO - Epoch(train) [114][25/125] lr: 8.0000e-03 eta: 0:40:44 time: 0.4687 data_time: 0.1497 memory: 6424 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0112 loss_cls: 0.0866 acc: 96.1426 loss_bbox: 0.1261 loss_mask: 0.1938 loss: 0.4263 2022/08/26 17:49:48 - mmengine - INFO - Epoch(train) [114][30/125] lr: 8.0000e-03 eta: 0:40:40 time: 0.3684 data_time: 0.0949 memory: 6574 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0102 loss_cls: 0.0790 acc: 95.7275 loss_bbox: 0.1189 loss_mask: 0.1937 loss: 0.4086 2022/08/26 17:49:50 - mmengine - INFO - Epoch(train) [114][35/125] lr: 8.0000e-03 eta: 0:40:40 time: 0.3473 data_time: 0.0668 memory: 6453 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0101 loss_cls: 0.0885 acc: 96.5820 loss_bbox: 0.1343 loss_mask: 0.2043 loss: 0.4445 2022/08/26 17:49:51 - mmengine - INFO - Epoch(train) [114][40/125] lr: 8.0000e-03 eta: 0:40:35 time: 0.3385 data_time: 0.0617 memory: 6156 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0110 loss_cls: 0.0844 acc: 97.1436 loss_bbox: 0.1250 loss_mask: 0.2057 loss: 0.4351 2022/08/26 17:49:53 - mmengine - INFO - Epoch(train) [114][45/125] lr: 8.0000e-03 eta: 0:40:35 time: 0.3107 data_time: 0.0463 memory: 6696 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0084 loss_cls: 0.0712 acc: 97.7783 loss_bbox: 0.1022 loss_mask: 0.1993 loss: 0.3881 2022/08/26 17:49:55 - mmengine - INFO - Epoch(train) [114][50/125] lr: 8.0000e-03 eta: 0:40:31 time: 0.3770 data_time: 0.1046 memory: 6692 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0102 loss_cls: 0.0839 acc: 97.3389 loss_bbox: 0.1290 loss_mask: 0.1877 loss: 0.4193 2022/08/26 17:49:57 - mmengine - INFO - Epoch(train) [114][55/125] lr: 8.0000e-03 eta: 0:40:31 time: 0.4168 data_time: 0.1420 memory: 6288 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0130 loss_cls: 0.0946 acc: 96.0938 loss_bbox: 0.1450 loss_mask: 0.1973 loss: 0.4596 2022/08/26 17:49:59 - mmengine - INFO - Epoch(train) [114][60/125] lr: 8.0000e-03 eta: 0:40:27 time: 0.4370 data_time: 0.0994 memory: 6614 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0105 loss_cls: 0.0829 acc: 95.9961 loss_bbox: 0.1306 loss_mask: 0.2075 loss: 0.4377 2022/08/26 17:50:01 - mmengine - INFO - Epoch(train) [114][65/125] lr: 8.0000e-03 eta: 0:40:27 time: 0.4340 data_time: 0.0927 memory: 6344 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0100 loss_cls: 0.0827 acc: 97.0459 loss_bbox: 0.1283 loss_mask: 0.2118 loss: 0.4400 2022/08/26 17:50:03 - mmengine - INFO - Epoch(train) [114][70/125] lr: 8.0000e-03 eta: 0:40:22 time: 0.3680 data_time: 0.0944 memory: 6382 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0107 loss_cls: 0.0854 acc: 97.4365 loss_bbox: 0.1292 loss_mask: 0.2099 loss: 0.4424 2022/08/26 17:50:05 - mmengine - INFO - Epoch(train) [114][75/125] lr: 8.0000e-03 eta: 0:40:22 time: 0.3907 data_time: 0.1229 memory: 6567 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0105 loss_cls: 0.0856 acc: 96.5576 loss_bbox: 0.1307 loss_mask: 0.2162 loss: 0.4493 2022/08/26 17:50:07 - mmengine - INFO - Epoch(train) [114][80/125] lr: 8.0000e-03 eta: 0:40:18 time: 0.3975 data_time: 0.1262 memory: 6763 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0106 loss_cls: 0.0867 acc: 96.6797 loss_bbox: 0.1301 loss_mask: 0.2128 loss: 0.4465 2022/08/26 17:50:09 - mmengine - INFO - Epoch(train) [114][85/125] lr: 8.0000e-03 eta: 0:40:18 time: 0.3604 data_time: 0.0910 memory: 6275 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0096 loss_cls: 0.0780 acc: 97.2900 loss_bbox: 0.1110 loss_mask: 0.2048 loss: 0.4104 2022/08/26 17:50:11 - mmengine - INFO - Epoch(train) [114][90/125] lr: 8.0000e-03 eta: 0:40:14 time: 0.3409 data_time: 0.0746 memory: 6281 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0079 loss_cls: 0.0723 acc: 97.4609 loss_bbox: 0.0990 loss_mask: 0.2066 loss: 0.3927 2022/08/26 17:50:12 - mmengine - INFO - Epoch(train) [114][95/125] lr: 8.0000e-03 eta: 0:40:14 time: 0.3172 data_time: 0.0523 memory: 6170 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0071 loss_cls: 0.0732 acc: 97.4121 loss_bbox: 0.1031 loss_mask: 0.1928 loss: 0.3819 2022/08/26 17:50:14 - mmengine - INFO - Epoch(train) [114][100/125] lr: 8.0000e-03 eta: 0:40:09 time: 0.3465 data_time: 0.0772 memory: 6780 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0119 loss_cls: 0.0801 acc: 96.1426 loss_bbox: 0.1187 loss_mask: 0.1873 loss: 0.4043 2022/08/26 17:50:16 - mmengine - INFO - Epoch(train) [114][105/125] lr: 8.0000e-03 eta: 0:40:09 time: 0.3983 data_time: 0.1255 memory: 6620 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0125 loss_cls: 0.0801 acc: 98.9502 loss_bbox: 0.1181 loss_mask: 0.1923 loss: 0.4142 2022/08/26 17:50:18 - mmengine - INFO - Epoch(train) [114][110/125] lr: 8.0000e-03 eta: 0:40:05 time: 0.3665 data_time: 0.0964 memory: 6186 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0092 loss_cls: 0.0711 acc: 98.1934 loss_bbox: 0.0984 loss_mask: 0.1959 loss: 0.3855 2022/08/26 17:50:20 - mmengine - INFO - Epoch(train) [114][115/125] lr: 8.0000e-03 eta: 0:40:05 time: 0.4139 data_time: 0.1102 memory: 6386 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0099 loss_cls: 0.0701 acc: 96.6309 loss_bbox: 0.0975 loss_mask: 0.1882 loss: 0.3716 2022/08/26 17:50:23 - mmengine - INFO - Epoch(train) [114][120/125] lr: 8.0000e-03 eta: 0:40:01 time: 0.5007 data_time: 0.1770 memory: 6339 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0086 loss_cls: 0.0763 acc: 96.9238 loss_bbox: 0.1070 loss_mask: 0.1989 loss: 0.3980 2022/08/26 17:50:24 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:50:24 - mmengine - INFO - Epoch(train) [114][125/125] lr: 8.0000e-03 eta: 0:40:01 time: 0.3906 data_time: 0.1038 memory: 6245 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0070 loss_cls: 0.0724 acc: 97.6318 loss_bbox: 0.1003 loss_mask: 0.2067 loss: 0.3926 2022/08/26 17:50:28 - mmengine - INFO - Epoch(train) [115][5/125] lr: 8.0000e-03 eta: 0:40:01 time: 0.4821 data_time: 0.2097 memory: 6608 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0096 loss_cls: 0.0818 acc: 95.3857 loss_bbox: 0.1185 loss_mask: 0.2002 loss: 0.4164 2022/08/26 17:50:31 - mmengine - INFO - Epoch(train) [115][10/125] lr: 8.0000e-03 eta: 0:39:55 time: 0.6232 data_time: 0.3446 memory: 6450 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0121 loss_cls: 0.0904 acc: 96.0205 loss_bbox: 0.1340 loss_mask: 0.1958 loss: 0.4399 2022/08/26 17:50:33 - mmengine - INFO - Epoch(train) [115][15/125] lr: 8.0000e-03 eta: 0:39:55 time: 0.4873 data_time: 0.2154 memory: 6378 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0115 loss_cls: 0.0779 acc: 98.1445 loss_bbox: 0.1081 loss_mask: 0.1873 loss: 0.3918 2022/08/26 17:50:34 - mmengine - INFO - Epoch(train) [115][20/125] lr: 8.0000e-03 eta: 0:39:50 time: 0.3564 data_time: 0.0829 memory: 6603 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0118 loss_cls: 0.0821 acc: 96.4844 loss_bbox: 0.1159 loss_mask: 0.1964 loss: 0.4129 2022/08/26 17:50:36 - mmengine - INFO - Epoch(train) [115][25/125] lr: 8.0000e-03 eta: 0:39:50 time: 0.3515 data_time: 0.0777 memory: 6017 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0106 loss_cls: 0.0740 acc: 97.4609 loss_bbox: 0.1121 loss_mask: 0.1953 loss: 0.3970 2022/08/26 17:50:38 - mmengine - INFO - Epoch(train) [115][30/125] lr: 8.0000e-03 eta: 0:39:46 time: 0.3681 data_time: 0.0981 memory: 6251 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0092 loss_cls: 0.0661 acc: 97.1436 loss_bbox: 0.0990 loss_mask: 0.1915 loss: 0.3718 2022/08/26 17:50:41 - mmengine - INFO - Epoch(train) [115][35/125] lr: 8.0000e-03 eta: 0:39:46 time: 0.4296 data_time: 0.0844 memory: 6315 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0089 loss_cls: 0.0819 acc: 95.3613 loss_bbox: 0.1158 loss_mask: 0.1944 loss: 0.4076 2022/08/26 17:50:42 - mmengine - INFO - Epoch(train) [115][40/125] lr: 8.0000e-03 eta: 0:39:42 time: 0.4330 data_time: 0.0816 memory: 6567 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0097 loss_cls: 0.0827 acc: 98.7549 loss_bbox: 0.1254 loss_mask: 0.1947 loss: 0.4180 2022/08/26 17:50:44 - mmengine - INFO - Epoch(train) [115][45/125] lr: 8.0000e-03 eta: 0:39:42 time: 0.3692 data_time: 0.0920 memory: 6698 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0118 loss_cls: 0.0847 acc: 97.1680 loss_bbox: 0.1420 loss_mask: 0.2072 loss: 0.4521 2022/08/26 17:50:46 - mmengine - INFO - Epoch(train) [115][50/125] lr: 8.0000e-03 eta: 0:39:37 time: 0.3592 data_time: 0.0856 memory: 6779 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0125 loss_cls: 0.0951 acc: 97.4121 loss_bbox: 0.1457 loss_mask: 0.2179 loss: 0.4800 2022/08/26 17:50:48 - mmengine - INFO - Epoch(train) [115][55/125] lr: 8.0000e-03 eta: 0:39:37 time: 0.3800 data_time: 0.1083 memory: 6402 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0133 loss_cls: 0.0972 acc: 95.5078 loss_bbox: 0.1368 loss_mask: 0.2208 loss: 0.4779 2022/08/26 17:50:50 - mmengine - INFO - Epoch(train) [115][60/125] lr: 8.0000e-03 eta: 0:39:33 time: 0.3880 data_time: 0.1170 memory: 6597 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0124 loss_cls: 0.0901 acc: 96.7529 loss_bbox: 0.1223 loss_mask: 0.2098 loss: 0.4437 2022/08/26 17:50:52 - mmengine - INFO - Epoch(train) [115][65/125] lr: 8.0000e-03 eta: 0:39:33 time: 0.3857 data_time: 0.0829 memory: 6592 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0120 loss_cls: 0.0889 acc: 95.5078 loss_bbox: 0.1298 loss_mask: 0.2019 loss: 0.4420 2022/08/26 17:50:54 - mmengine - INFO - Epoch(train) [115][70/125] lr: 8.0000e-03 eta: 0:39:29 time: 0.3743 data_time: 0.0744 memory: 6672 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0110 loss_cls: 0.0911 acc: 97.9980 loss_bbox: 0.1425 loss_mask: 0.2085 loss: 0.4609 2022/08/26 17:50:55 - mmengine - INFO - Epoch(train) [115][75/125] lr: 8.0000e-03 eta: 0:39:29 time: 0.3415 data_time: 0.0721 memory: 6525 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0110 loss_cls: 0.0919 acc: 96.7773 loss_bbox: 0.1382 loss_mask: 0.2014 loss: 0.4498 2022/08/26 17:50:57 - mmengine - INFO - Epoch(train) [115][80/125] lr: 8.0000e-03 eta: 0:39:24 time: 0.3444 data_time: 0.0780 memory: 6120 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0103 loss_cls: 0.0824 acc: 96.0693 loss_bbox: 0.1252 loss_mask: 0.2015 loss: 0.4287 2022/08/26 17:51:00 - mmengine - INFO - Epoch(train) [115][85/125] lr: 8.0000e-03 eta: 0:39:24 time: 0.4228 data_time: 0.1244 memory: 6143 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0093 loss_cls: 0.0747 acc: 97.2656 loss_bbox: 0.1095 loss_mask: 0.2124 loss: 0.4151 2022/08/26 17:51:02 - mmengine - INFO - Epoch(train) [115][90/125] lr: 8.0000e-03 eta: 0:39:20 time: 0.4552 data_time: 0.1475 memory: 7012 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0103 loss_cls: 0.0806 acc: 97.3877 loss_bbox: 0.1247 loss_mask: 0.2066 loss: 0.4293 2022/08/26 17:51:03 - mmengine - INFO - Epoch(train) [115][95/125] lr: 8.0000e-03 eta: 0:39:20 time: 0.3438 data_time: 0.0711 memory: 6377 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0101 loss_cls: 0.0787 acc: 97.7295 loss_bbox: 0.1278 loss_mask: 0.2011 loss: 0.4231 2022/08/26 17:51:05 - mmengine - INFO - Epoch(train) [115][100/125] lr: 8.0000e-03 eta: 0:39:16 time: 0.3282 data_time: 0.0508 memory: 6131 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0082 loss_cls: 0.0696 acc: 97.6074 loss_bbox: 0.1071 loss_mask: 0.1974 loss: 0.3878 2022/08/26 17:51:06 - mmengine - INFO - Epoch(train) [115][105/125] lr: 8.0000e-03 eta: 0:39:16 time: 0.3447 data_time: 0.0626 memory: 6196 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0074 loss_cls: 0.0667 acc: 96.9971 loss_bbox: 0.0961 loss_mask: 0.1884 loss: 0.3653 2022/08/26 17:51:09 - mmengine - INFO - Epoch(train) [115][110/125] lr: 8.0000e-03 eta: 0:39:11 time: 0.3928 data_time: 0.1208 memory: 6386 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0090 loss_cls: 0.0753 acc: 96.6309 loss_bbox: 0.1101 loss_mask: 0.2012 loss: 0.4025 2022/08/26 17:51:11 - mmengine - INFO - Epoch(train) [115][115/125] lr: 8.0000e-03 eta: 0:39:11 time: 0.4543 data_time: 0.1679 memory: 6656 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0131 loss_cls: 0.0888 acc: 95.1904 loss_bbox: 0.1365 loss_mask: 0.2093 loss: 0.4566 2022/08/26 17:51:13 - mmengine - INFO - Epoch(train) [115][120/125] lr: 8.0000e-03 eta: 0:39:07 time: 0.3787 data_time: 0.0956 memory: 6324 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0131 loss_cls: 0.0818 acc: 96.9238 loss_bbox: 0.1249 loss_mask: 0.1933 loss: 0.4227 2022/08/26 17:51:14 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:51:14 - mmengine - INFO - Epoch(train) [115][125/125] lr: 8.0000e-03 eta: 0:39:07 time: 0.2986 data_time: 0.0319 memory: 6448 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0092 loss_cls: 0.0678 acc: 97.8760 loss_bbox: 0.1072 loss_mask: 0.1735 loss: 0.3645 2022/08/26 17:51:18 - mmengine - INFO - Epoch(train) [116][5/125] lr: 8.0000e-03 eta: 0:39:07 time: 0.5470 data_time: 0.2679 memory: 6800 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0095 loss_cls: 0.0785 acc: 97.0215 loss_bbox: 0.1292 loss_mask: 0.1828 loss: 0.4069 2022/08/26 17:51:21 - mmengine - INFO - Epoch(train) [116][10/125] lr: 8.0000e-03 eta: 0:39:01 time: 0.6536 data_time: 0.2816 memory: 6405 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0129 loss_cls: 0.0848 acc: 95.3613 loss_bbox: 0.1317 loss_mask: 0.2114 loss: 0.4485 2022/08/26 17:51:23 - mmengine - INFO - Epoch(train) [116][15/125] lr: 8.0000e-03 eta: 0:39:01 time: 0.4611 data_time: 0.0997 memory: 6463 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0120 loss_cls: 0.0810 acc: 97.2412 loss_bbox: 0.1232 loss_mask: 0.2146 loss: 0.4374 2022/08/26 17:51:25 - mmengine - INFO - Epoch(train) [116][20/125] lr: 8.0000e-03 eta: 0:38:57 time: 0.3797 data_time: 0.1113 memory: 6464 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0103 loss_cls: 0.0856 acc: 96.8262 loss_bbox: 0.1294 loss_mask: 0.2024 loss: 0.4335 2022/08/26 17:51:27 - mmengine - INFO - Epoch(train) [116][25/125] lr: 8.0000e-03 eta: 0:38:57 time: 0.4137 data_time: 0.0894 memory: 6496 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0115 loss_cls: 0.0864 acc: 97.0947 loss_bbox: 0.1276 loss_mask: 0.1921 loss: 0.4247 2022/08/26 17:51:29 - mmengine - INFO - Epoch(train) [116][30/125] lr: 8.0000e-03 eta: 0:38:52 time: 0.4198 data_time: 0.0886 memory: 6388 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0102 loss_cls: 0.0765 acc: 96.6064 loss_bbox: 0.1200 loss_mask: 0.1979 loss: 0.4137 2022/08/26 17:51:30 - mmengine - INFO - Epoch(train) [116][35/125] lr: 8.0000e-03 eta: 0:38:52 time: 0.3452 data_time: 0.0693 memory: 6330 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0082 loss_cls: 0.0737 acc: 97.0215 loss_bbox: 0.1092 loss_mask: 0.1985 loss: 0.3986 2022/08/26 17:51:32 - mmengine - INFO - Epoch(train) [116][40/125] lr: 8.0000e-03 eta: 0:38:48 time: 0.3686 data_time: 0.0966 memory: 6541 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0086 loss_cls: 0.0814 acc: 96.5332 loss_bbox: 0.1156 loss_mask: 0.1914 loss: 0.4058 2022/08/26 17:51:35 - mmengine - INFO - Epoch(train) [116][45/125] lr: 8.0000e-03 eta: 0:38:48 time: 0.4151 data_time: 0.1365 memory: 7117 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0099 loss_cls: 0.0867 acc: 98.3887 loss_bbox: 0.1306 loss_mask: 0.2006 loss: 0.4358 2022/08/26 17:51:36 - mmengine - INFO - Epoch(train) [116][50/125] lr: 8.0000e-03 eta: 0:38:44 time: 0.4018 data_time: 0.1251 memory: 6363 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0093 loss_cls: 0.0792 acc: 97.3145 loss_bbox: 0.1218 loss_mask: 0.1923 loss: 0.4086 2022/08/26 17:51:38 - mmengine - INFO - Epoch(train) [116][55/125] lr: 8.0000e-03 eta: 0:38:44 time: 0.3412 data_time: 0.0709 memory: 6809 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0114 loss_cls: 0.0788 acc: 94.8486 loss_bbox: 0.1168 loss_mask: 0.1837 loss: 0.3970 2022/08/26 17:51:41 - mmengine - INFO - Epoch(train) [116][60/125] lr: 8.0000e-03 eta: 0:38:40 time: 0.4087 data_time: 0.0732 memory: 6291 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0126 loss_cls: 0.0830 acc: 96.7041 loss_bbox: 0.1238 loss_mask: 0.1879 loss: 0.4133 2022/08/26 17:51:42 - mmengine - INFO - Epoch(train) [116][65/125] lr: 8.0000e-03 eta: 0:38:40 time: 0.4333 data_time: 0.0901 memory: 6666 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0107 loss_cls: 0.0784 acc: 97.9248 loss_bbox: 0.1264 loss_mask: 0.1858 loss: 0.4069 2022/08/26 17:51:44 - mmengine - INFO - Epoch(train) [116][70/125] lr: 8.0000e-03 eta: 0:38:35 time: 0.3589 data_time: 0.0804 memory: 6450 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0095 loss_cls: 0.0794 acc: 98.0713 loss_bbox: 0.1282 loss_mask: 0.1987 loss: 0.4223 2022/08/26 17:51:46 - mmengine - INFO - Epoch(train) [116][75/125] lr: 8.0000e-03 eta: 0:38:35 time: 0.3717 data_time: 0.1023 memory: 6479 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0095 loss_cls: 0.0767 acc: 97.7783 loss_bbox: 0.1195 loss_mask: 0.2053 loss: 0.4188 2022/08/26 17:51:48 - mmengine - INFO - Epoch(train) [116][80/125] lr: 8.0000e-03 eta: 0:38:31 time: 0.3581 data_time: 0.0875 memory: 6709 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0122 loss_cls: 0.0857 acc: 96.5332 loss_bbox: 0.1245 loss_mask: 0.1994 loss: 0.4316 2022/08/26 17:51:49 - mmengine - INFO - Epoch(train) [116][85/125] lr: 8.0000e-03 eta: 0:38:31 time: 0.3407 data_time: 0.0621 memory: 6662 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0162 loss_cls: 0.0868 acc: 97.1436 loss_bbox: 0.1255 loss_mask: 0.1888 loss: 0.4266 2022/08/26 17:51:52 - mmengine - INFO - Epoch(train) [116][90/125] lr: 8.0000e-03 eta: 0:38:27 time: 0.4643 data_time: 0.1615 memory: 6529 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0135 loss_cls: 0.0815 acc: 95.3857 loss_bbox: 0.1206 loss_mask: 0.1937 loss: 0.4183 2022/08/26 17:51:54 - mmengine - INFO - Epoch(train) [116][95/125] lr: 8.0000e-03 eta: 0:38:27 time: 0.4586 data_time: 0.1592 memory: 7035 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0113 loss_cls: 0.0968 acc: 97.4121 loss_bbox: 0.1333 loss_mask: 0.2086 loss: 0.4604 2022/08/26 17:51:56 - mmengine - INFO - Epoch(train) [116][100/125] lr: 8.0000e-03 eta: 0:38:23 time: 0.3688 data_time: 0.0908 memory: 6689 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0119 loss_cls: 0.0963 acc: 96.9971 loss_bbox: 0.1356 loss_mask: 0.1957 loss: 0.4480 2022/08/26 17:51:58 - mmengine - INFO - Epoch(train) [116][105/125] lr: 8.0000e-03 eta: 0:38:23 time: 0.4213 data_time: 0.1464 memory: 6259 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0111 loss_cls: 0.0878 acc: 97.6318 loss_bbox: 0.1325 loss_mask: 0.1868 loss: 0.4261 2022/08/26 17:52:00 - mmengine - INFO - Epoch(train) [116][110/125] lr: 8.0000e-03 eta: 0:38:18 time: 0.3882 data_time: 0.1121 memory: 6323 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0098 loss_cls: 0.0812 acc: 95.5322 loss_bbox: 0.1158 loss_mask: 0.1992 loss: 0.4140 2022/08/26 17:52:02 - mmengine - INFO - Epoch(train) [116][115/125] lr: 8.0000e-03 eta: 0:38:18 time: 0.3355 data_time: 0.0583 memory: 6386 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0079 loss_cls: 0.0743 acc: 96.3867 loss_bbox: 0.1043 loss_mask: 0.2006 loss: 0.3935 2022/08/26 17:52:03 - mmengine - INFO - Epoch(train) [116][120/125] lr: 8.0000e-03 eta: 0:38:14 time: 0.3452 data_time: 0.0724 memory: 6681 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0098 loss_cls: 0.0774 acc: 95.7031 loss_bbox: 0.1217 loss_mask: 0.1913 loss: 0.4075 2022/08/26 17:52:05 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:52:05 - mmengine - INFO - Epoch(train) [116][125/125] lr: 8.0000e-03 eta: 0:38:14 time: 0.3355 data_time: 0.0632 memory: 6467 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0107 loss_cls: 0.0858 acc: 95.1172 loss_bbox: 0.1250 loss_mask: 0.2014 loss: 0.4321 2022/08/26 17:52:08 - mmengine - INFO - Epoch(train) [117][5/125] lr: 8.0000e-03 eta: 0:38:14 time: 0.4969 data_time: 0.1913 memory: 6499 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0120 loss_cls: 0.0843 acc: 96.2402 loss_bbox: 0.1197 loss_mask: 0.2044 loss: 0.4320 2022/08/26 17:52:11 - mmengine - INFO - Epoch(train) [117][10/125] lr: 8.0000e-03 eta: 0:38:07 time: 0.5929 data_time: 0.2688 memory: 6496 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0123 loss_cls: 0.0836 acc: 97.9492 loss_bbox: 0.1302 loss_mask: 0.1980 loss: 0.4351 2022/08/26 17:52:13 - mmengine - INFO - Epoch(train) [117][15/125] lr: 8.0000e-03 eta: 0:38:07 time: 0.4296 data_time: 0.1431 memory: 6398 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0095 loss_cls: 0.0756 acc: 98.4375 loss_bbox: 0.1186 loss_mask: 0.1922 loss: 0.4049 2022/08/26 17:52:16 - mmengine - INFO - Epoch(train) [117][20/125] lr: 8.0000e-03 eta: 0:38:03 time: 0.4686 data_time: 0.2012 memory: 6695 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0097 loss_cls: 0.0794 acc: 96.8262 loss_bbox: 0.1167 loss_mask: 0.1901 loss: 0.4047 2022/08/26 17:52:19 - mmengine - INFO - Epoch(train) [117][25/125] lr: 8.0000e-03 eta: 0:38:03 time: 0.6527 data_time: 0.3637 memory: 7071 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0105 loss_cls: 0.0851 acc: 93.9209 loss_bbox: 0.1217 loss_mask: 0.1964 loss: 0.4204 2022/08/26 17:52:21 - mmengine - INFO - Epoch(train) [117][30/125] lr: 8.0000e-03 eta: 0:38:00 time: 0.5483 data_time: 0.2585 memory: 6584 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0119 loss_cls: 0.0814 acc: 98.1689 loss_bbox: 0.1201 loss_mask: 0.1927 loss: 0.4129 2022/08/26 17:52:23 - mmengine - INFO - Epoch(train) [117][35/125] lr: 8.0000e-03 eta: 0:38:00 time: 0.3551 data_time: 0.0869 memory: 6245 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0112 loss_cls: 0.0870 acc: 95.8984 loss_bbox: 0.1306 loss_mask: 0.2027 loss: 0.4389 2022/08/26 17:52:24 - mmengine - INFO - Epoch(train) [117][40/125] lr: 8.0000e-03 eta: 0:37:55 time: 0.3257 data_time: 0.0520 memory: 6732 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0112 loss_cls: 0.0860 acc: 96.1914 loss_bbox: 0.1347 loss_mask: 0.2133 loss: 0.4526 2022/08/26 17:52:26 - mmengine - INFO - Epoch(train) [117][45/125] lr: 8.0000e-03 eta: 0:37:55 time: 0.3376 data_time: 0.0638 memory: 6636 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0123 loss_cls: 0.0807 acc: 97.4365 loss_bbox: 0.1308 loss_mask: 0.2055 loss: 0.4363 2022/08/26 17:52:28 - mmengine - INFO - Epoch(train) [117][50/125] lr: 8.0000e-03 eta: 0:37:51 time: 0.3363 data_time: 0.0693 memory: 6595 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0095 loss_cls: 0.0768 acc: 95.2881 loss_bbox: 0.1156 loss_mask: 0.1975 loss: 0.4049 2022/08/26 17:52:30 - mmengine - INFO - Epoch(train) [117][55/125] lr: 8.0000e-03 eta: 0:37:51 time: 0.3640 data_time: 0.0701 memory: 6760 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0081 loss_cls: 0.0758 acc: 97.8027 loss_bbox: 0.1050 loss_mask: 0.1911 loss: 0.3854 2022/08/26 17:52:32 - mmengine - INFO - Epoch(train) [117][60/125] lr: 8.0000e-03 eta: 0:37:47 time: 0.4275 data_time: 0.1167 memory: 6771 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0105 loss_cls: 0.0760 acc: 97.0215 loss_bbox: 0.1123 loss_mask: 0.1908 loss: 0.3953 2022/08/26 17:52:34 - mmengine - INFO - Epoch(train) [117][65/125] lr: 8.0000e-03 eta: 0:37:47 time: 0.4049 data_time: 0.1168 memory: 6617 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0141 loss_cls: 0.0887 acc: 96.2646 loss_bbox: 0.1394 loss_mask: 0.2006 loss: 0.4497 2022/08/26 17:52:36 - mmengine - INFO - Epoch(train) [117][70/125] lr: 8.0000e-03 eta: 0:37:42 time: 0.3565 data_time: 0.0868 memory: 6487 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0125 loss_cls: 0.0798 acc: 97.3145 loss_bbox: 0.1221 loss_mask: 0.1915 loss: 0.4122 2022/08/26 17:52:37 - mmengine - INFO - Epoch(train) [117][75/125] lr: 8.0000e-03 eta: 0:37:42 time: 0.3527 data_time: 0.0893 memory: 6363 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0089 loss_cls: 0.0636 acc: 98.3154 loss_bbox: 0.0942 loss_mask: 0.1835 loss: 0.3544 2022/08/26 17:52:39 - mmengine - INFO - Epoch(train) [117][80/125] lr: 8.0000e-03 eta: 0:37:38 time: 0.3792 data_time: 0.0958 memory: 6317 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0111 loss_cls: 0.0758 acc: 96.2402 loss_bbox: 0.1159 loss_mask: 0.1940 loss: 0.4030 2022/08/26 17:52:41 - mmengine - INFO - Epoch(train) [117][85/125] lr: 8.0000e-03 eta: 0:37:38 time: 0.3883 data_time: 0.1016 memory: 6705 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0113 loss_cls: 0.0742 acc: 98.7549 loss_bbox: 0.1180 loss_mask: 0.1864 loss: 0.3968 2022/08/26 17:52:43 - mmengine - INFO - Epoch(train) [117][90/125] lr: 8.0000e-03 eta: 0:37:34 time: 0.3957 data_time: 0.1241 memory: 6750 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0098 loss_cls: 0.0766 acc: 96.2891 loss_bbox: 0.1160 loss_mask: 0.1787 loss: 0.3875 2022/08/26 17:52:45 - mmengine - INFO - Epoch(train) [117][95/125] lr: 8.0000e-03 eta: 0:37:34 time: 0.3996 data_time: 0.1212 memory: 6826 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0105 loss_cls: 0.0929 acc: 95.3613 loss_bbox: 0.1343 loss_mask: 0.1917 loss: 0.4377 2022/08/26 17:52:47 - mmengine - INFO - Epoch(train) [117][100/125] lr: 8.0000e-03 eta: 0:37:29 time: 0.3427 data_time: 0.0669 memory: 6326 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0092 loss_cls: 0.0826 acc: 97.4854 loss_bbox: 0.1221 loss_mask: 0.1887 loss: 0.4091 2022/08/26 17:52:49 - mmengine - INFO - Epoch(train) [117][105/125] lr: 8.0000e-03 eta: 0:37:29 time: 0.3852 data_time: 0.0745 memory: 6473 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0094 loss_cls: 0.0809 acc: 96.6064 loss_bbox: 0.1156 loss_mask: 0.1981 loss: 0.4107 2022/08/26 17:52:51 - mmengine - INFO - Epoch(train) [117][110/125] lr: 8.0000e-03 eta: 0:37:25 time: 0.4120 data_time: 0.0986 memory: 6389 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0094 loss_cls: 0.0805 acc: 96.9971 loss_bbox: 0.1140 loss_mask: 0.2013 loss: 0.4120 2022/08/26 17:52:53 - mmengine - INFO - Epoch(train) [117][115/125] lr: 8.0000e-03 eta: 0:37:25 time: 0.3784 data_time: 0.0989 memory: 6709 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0123 loss_cls: 0.0852 acc: 95.2881 loss_bbox: 0.1261 loss_mask: 0.1944 loss: 0.4255 2022/08/26 17:52:55 - mmengine - INFO - Epoch(train) [117][120/125] lr: 8.0000e-03 eta: 0:37:21 time: 0.3903 data_time: 0.1118 memory: 6470 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0123 loss_cls: 0.0920 acc: 97.2412 loss_bbox: 0.1348 loss_mask: 0.2066 loss: 0.4559 2022/08/26 17:52:56 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:52:56 - mmengine - INFO - Epoch(train) [117][125/125] lr: 8.0000e-03 eta: 0:37:21 time: 0.3460 data_time: 0.0732 memory: 6614 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0101 loss_cls: 0.0910 acc: 96.2158 loss_bbox: 0.1294 loss_mask: 0.2060 loss: 0.4456 2022/08/26 17:52:59 - mmengine - INFO - Epoch(train) [118][5/125] lr: 8.0000e-03 eta: 0:37:21 time: 0.4489 data_time: 0.1738 memory: 6248 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0086 loss_cls: 0.0829 acc: 98.0225 loss_bbox: 0.1208 loss_mask: 0.1955 loss: 0.4146 2022/08/26 17:53:01 - mmengine - INFO - Epoch(train) [118][10/125] lr: 8.0000e-03 eta: 0:37:14 time: 0.4720 data_time: 0.1981 memory: 6336 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0082 loss_cls: 0.0782 acc: 96.0693 loss_bbox: 0.1174 loss_mask: 0.1979 loss: 0.4071 2022/08/26 17:53:03 - mmengine - INFO - Epoch(train) [118][15/125] lr: 8.0000e-03 eta: 0:37:14 time: 0.3317 data_time: 0.0623 memory: 6513 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0095 loss_cls: 0.0831 acc: 98.3154 loss_bbox: 0.1218 loss_mask: 0.1992 loss: 0.4203 2022/08/26 17:53:05 - mmengine - INFO - Epoch(train) [118][20/125] lr: 8.0000e-03 eta: 0:37:10 time: 0.3267 data_time: 0.0598 memory: 6229 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0073 loss_cls: 0.0731 acc: 97.9248 loss_bbox: 0.0996 loss_mask: 0.1888 loss: 0.3753 2022/08/26 17:53:06 - mmengine - INFO - Epoch(train) [118][25/125] lr: 8.0000e-03 eta: 0:37:10 time: 0.3668 data_time: 0.0988 memory: 6843 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0079 loss_cls: 0.0795 acc: 97.8271 loss_bbox: 0.1075 loss_mask: 0.1935 loss: 0.3940 2022/08/26 17:53:10 - mmengine - INFO - Epoch(train) [118][30/125] lr: 8.0000e-03 eta: 0:37:06 time: 0.5419 data_time: 0.1590 memory: 6103 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0083 loss_cls: 0.0784 acc: 97.6074 loss_bbox: 0.1107 loss_mask: 0.2066 loss: 0.4098 2022/08/26 17:53:12 - mmengine - INFO - Epoch(train) [118][35/125] lr: 8.0000e-03 eta: 0:37:06 time: 0.5422 data_time: 0.1326 memory: 6512 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0095 loss_cls: 0.0810 acc: 95.6299 loss_bbox: 0.1216 loss_mask: 0.1994 loss: 0.4181 2022/08/26 17:53:14 - mmengine - INFO - Epoch(train) [118][40/125] lr: 8.0000e-03 eta: 0:37:01 time: 0.3598 data_time: 0.0625 memory: 6601 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0109 loss_cls: 0.0877 acc: 97.7295 loss_bbox: 0.1333 loss_mask: 0.1833 loss: 0.4215 2022/08/26 17:53:15 - mmengine - INFO - Epoch(train) [118][45/125] lr: 8.0000e-03 eta: 0:37:01 time: 0.3348 data_time: 0.0680 memory: 6288 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0083 loss_cls: 0.0790 acc: 96.6553 loss_bbox: 0.1134 loss_mask: 0.1998 loss: 0.4065 2022/08/26 17:53:17 - mmengine - INFO - Epoch(train) [118][50/125] lr: 8.0000e-03 eta: 0:36:57 time: 0.3347 data_time: 0.0688 memory: 6585 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0076 loss_cls: 0.0800 acc: 98.0225 loss_bbox: 0.1106 loss_mask: 0.2088 loss: 0.4140 2022/08/26 17:53:19 - mmengine - INFO - Epoch(train) [118][55/125] lr: 8.0000e-03 eta: 0:36:57 time: 0.3331 data_time: 0.0670 memory: 6097 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0090 loss_cls: 0.0804 acc: 96.0449 loss_bbox: 0.1131 loss_mask: 0.2080 loss: 0.4186 2022/08/26 17:53:20 - mmengine - INFO - Epoch(train) [118][60/125] lr: 8.0000e-03 eta: 0:36:53 time: 0.3318 data_time: 0.0618 memory: 6359 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0104 loss_cls: 0.0767 acc: 96.9727 loss_bbox: 0.1137 loss_mask: 0.1979 loss: 0.4076 2022/08/26 17:53:22 - mmengine - INFO - Epoch(train) [118][65/125] lr: 8.0000e-03 eta: 0:36:53 time: 0.3325 data_time: 0.0564 memory: 6509 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0109 loss_cls: 0.0858 acc: 95.5566 loss_bbox: 0.1273 loss_mask: 0.1909 loss: 0.4228 2022/08/26 17:53:25 - mmengine - INFO - Epoch(train) [118][70/125] lr: 8.0000e-03 eta: 0:36:49 time: 0.4849 data_time: 0.2071 memory: 6669 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0113 loss_cls: 0.0893 acc: 97.2168 loss_bbox: 0.1365 loss_mask: 0.2008 loss: 0.4447 2022/08/26 17:53:27 - mmengine - INFO - Epoch(train) [118][75/125] lr: 8.0000e-03 eta: 0:36:49 time: 0.4969 data_time: 0.2202 memory: 6616 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0104 loss_cls: 0.0874 acc: 96.7529 loss_bbox: 0.1374 loss_mask: 0.1938 loss: 0.4352 2022/08/26 17:53:30 - mmengine - INFO - Epoch(train) [118][80/125] lr: 8.0000e-03 eta: 0:36:45 time: 0.4853 data_time: 0.1686 memory: 6304 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0112 loss_cls: 0.0883 acc: 96.5820 loss_bbox: 0.1325 loss_mask: 0.1904 loss: 0.4283 2022/08/26 17:53:32 - mmengine - INFO - Epoch(train) [118][85/125] lr: 8.0000e-03 eta: 0:36:45 time: 0.4834 data_time: 0.1600 memory: 6800 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0161 loss_cls: 0.0890 acc: 95.0195 loss_bbox: 0.1314 loss_mask: 0.1915 loss: 0.4397 2022/08/26 17:53:34 - mmengine - INFO - Epoch(train) [118][90/125] lr: 8.0000e-03 eta: 0:36:40 time: 0.3615 data_time: 0.0773 memory: 6450 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0155 loss_cls: 0.0889 acc: 97.8516 loss_bbox: 0.1326 loss_mask: 0.1909 loss: 0.4397 2022/08/26 17:53:35 - mmengine - INFO - Epoch(train) [118][95/125] lr: 8.0000e-03 eta: 0:36:40 time: 0.3479 data_time: 0.0696 memory: 6796 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0143 loss_cls: 0.0909 acc: 95.9961 loss_bbox: 0.1343 loss_mask: 0.1955 loss: 0.4417 2022/08/26 17:53:37 - mmengine - INFO - Epoch(train) [118][100/125] lr: 8.0000e-03 eta: 0:36:36 time: 0.3279 data_time: 0.0555 memory: 6440 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0129 loss_cls: 0.0963 acc: 97.3633 loss_bbox: 0.1357 loss_mask: 0.1919 loss: 0.4447 2022/08/26 17:53:39 - mmengine - INFO - Epoch(train) [118][105/125] lr: 8.0000e-03 eta: 0:36:36 time: 0.4088 data_time: 0.1247 memory: 6388 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0105 loss_cls: 0.0883 acc: 96.5576 loss_bbox: 0.1263 loss_mask: 0.1984 loss: 0.4320 2022/08/26 17:53:42 - mmengine - INFO - Epoch(train) [118][110/125] lr: 8.0000e-03 eta: 0:36:32 time: 0.5397 data_time: 0.2573 memory: 6142 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0091 loss_cls: 0.0788 acc: 95.8496 loss_bbox: 0.1120 loss_mask: 0.2079 loss: 0.4153 2022/08/26 17:53:44 - mmengine - INFO - Epoch(train) [118][115/125] lr: 8.0000e-03 eta: 0:36:32 time: 0.4854 data_time: 0.2145 memory: 6529 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0084 loss_cls: 0.0859 acc: 96.2402 loss_bbox: 0.1220 loss_mask: 0.2135 loss: 0.4371 2022/08/26 17:53:46 - mmengine - INFO - Epoch(train) [118][120/125] lr: 8.0000e-03 eta: 0:36:28 time: 0.3515 data_time: 0.0817 memory: 6287 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0100 loss_cls: 0.0796 acc: 97.9492 loss_bbox: 0.1219 loss_mask: 0.2152 loss: 0.4334 2022/08/26 17:53:47 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:53:47 - mmengine - INFO - Epoch(train) [118][125/125] lr: 8.0000e-03 eta: 0:36:28 time: 0.3168 data_time: 0.0498 memory: 6591 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0109 loss_cls: 0.0721 acc: 98.2178 loss_bbox: 0.1129 loss_mask: 0.1956 loss: 0.3979 2022/08/26 17:53:51 - mmengine - INFO - Epoch(train) [119][5/125] lr: 8.0000e-03 eta: 0:36:28 time: 0.4843 data_time: 0.1689 memory: 6230 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0094 loss_cls: 0.0801 acc: 96.3379 loss_bbox: 0.1178 loss_mask: 0.1957 loss: 0.4086 2022/08/26 17:53:53 - mmengine - INFO - Epoch(train) [119][10/125] lr: 8.0000e-03 eta: 0:36:21 time: 0.5361 data_time: 0.2213 memory: 6446 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0084 loss_cls: 0.0771 acc: 96.9482 loss_bbox: 0.1118 loss_mask: 0.2051 loss: 0.4082 2022/08/26 17:53:55 - mmengine - INFO - Epoch(train) [119][15/125] lr: 8.0000e-03 eta: 0:36:21 time: 0.3869 data_time: 0.1204 memory: 6087 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0090 loss_cls: 0.0771 acc: 97.3877 loss_bbox: 0.1137 loss_mask: 0.2131 loss: 0.4198 2022/08/26 17:53:57 - mmengine - INFO - Epoch(train) [119][20/125] lr: 8.0000e-03 eta: 0:36:17 time: 0.3771 data_time: 0.1068 memory: 6643 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0099 loss_cls: 0.0828 acc: 96.7041 loss_bbox: 0.1246 loss_mask: 0.2059 loss: 0.4311 2022/08/26 17:53:58 - mmengine - INFO - Epoch(train) [119][25/125] lr: 8.0000e-03 eta: 0:36:17 time: 0.3559 data_time: 0.0832 memory: 6593 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0107 loss_cls: 0.0878 acc: 95.9717 loss_bbox: 0.1356 loss_mask: 0.2106 loss: 0.4539 2022/08/26 17:54:01 - mmengine - INFO - Epoch(train) [119][30/125] lr: 8.0000e-03 eta: 0:36:13 time: 0.4160 data_time: 0.1125 memory: 6460 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0122 loss_cls: 0.0927 acc: 95.0195 loss_bbox: 0.1383 loss_mask: 0.2243 loss: 0.4751 2022/08/26 17:54:02 - mmengine - INFO - Epoch(train) [119][35/125] lr: 8.0000e-03 eta: 0:36:13 time: 0.4203 data_time: 0.1172 memory: 6594 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0115 loss_cls: 0.0835 acc: 97.2900 loss_bbox: 0.1294 loss_mask: 0.2005 loss: 0.4318 2022/08/26 17:54:05 - mmengine - INFO - Epoch(train) [119][40/125] lr: 8.0000e-03 eta: 0:36:09 time: 0.4148 data_time: 0.1448 memory: 6460 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0101 loss_cls: 0.0754 acc: 96.5332 loss_bbox: 0.1216 loss_mask: 0.1946 loss: 0.4072 2022/08/26 17:54:07 - mmengine - INFO - Epoch(train) [119][45/125] lr: 8.0000e-03 eta: 0:36:09 time: 0.4703 data_time: 0.1993 memory: 6632 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0107 loss_cls: 0.0828 acc: 97.1191 loss_bbox: 0.1274 loss_mask: 0.1996 loss: 0.4250 2022/08/26 17:54:09 - mmengine - INFO - Epoch(train) [119][50/125] lr: 8.0000e-03 eta: 0:36:04 time: 0.4366 data_time: 0.1472 memory: 6619 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0108 loss_cls: 0.0870 acc: 96.4111 loss_bbox: 0.1303 loss_mask: 0.1931 loss: 0.4281 2022/08/26 17:54:11 - mmengine - INFO - Epoch(train) [119][55/125] lr: 8.0000e-03 eta: 0:36:04 time: 0.3844 data_time: 0.0905 memory: 6345 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0109 loss_cls: 0.0838 acc: 97.5098 loss_bbox: 0.1253 loss_mask: 0.1883 loss: 0.4178 2022/08/26 17:54:13 - mmengine - INFO - Epoch(train) [119][60/125] lr: 8.0000e-03 eta: 0:36:00 time: 0.3595 data_time: 0.0826 memory: 6512 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0098 loss_cls: 0.0831 acc: 95.3857 loss_bbox: 0.1259 loss_mask: 0.1944 loss: 0.4213 2022/08/26 17:54:14 - mmengine - INFO - Epoch(train) [119][65/125] lr: 8.0000e-03 eta: 0:36:00 time: 0.3550 data_time: 0.0767 memory: 6493 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0086 loss_cls: 0.0807 acc: 97.2168 loss_bbox: 0.1207 loss_mask: 0.2046 loss: 0.4206 2022/08/26 17:54:16 - mmengine - INFO - Epoch(train) [119][70/125] lr: 8.0000e-03 eta: 0:35:56 time: 0.3358 data_time: 0.0571 memory: 6634 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0084 loss_cls: 0.0842 acc: 94.5557 loss_bbox: 0.1285 loss_mask: 0.2014 loss: 0.4286 2022/08/26 17:54:19 - mmengine - INFO - Epoch(train) [119][75/125] lr: 8.0000e-03 eta: 0:35:56 time: 0.4198 data_time: 0.1461 memory: 6728 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0112 loss_cls: 0.0903 acc: 96.3867 loss_bbox: 0.1415 loss_mask: 0.2009 loss: 0.4510 2022/08/26 17:54:21 - mmengine - INFO - Epoch(train) [119][80/125] lr: 8.0000e-03 eta: 0:35:52 time: 0.4802 data_time: 0.2074 memory: 6601 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0130 loss_cls: 0.0899 acc: 96.3135 loss_bbox: 0.1443 loss_mask: 0.2133 loss: 0.4697 2022/08/26 17:54:24 - mmengine - INFO - Epoch(train) [119][85/125] lr: 8.0000e-03 eta: 0:35:52 time: 0.5081 data_time: 0.2365 memory: 6352 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0103 loss_cls: 0.0799 acc: 97.4854 loss_bbox: 0.1314 loss_mask: 0.2026 loss: 0.4319 2022/08/26 17:54:25 - mmengine - INFO - Epoch(train) [119][90/125] lr: 8.0000e-03 eta: 0:35:48 time: 0.4496 data_time: 0.1824 memory: 6529 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0086 loss_cls: 0.0792 acc: 96.7773 loss_bbox: 0.1143 loss_mask: 0.1977 loss: 0.4060 2022/08/26 17:54:27 - mmengine - INFO - Epoch(train) [119][95/125] lr: 8.0000e-03 eta: 0:35:48 time: 0.3539 data_time: 0.0913 memory: 6088 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0077 loss_cls: 0.0758 acc: 97.0459 loss_bbox: 0.1021 loss_mask: 0.1921 loss: 0.3851 2022/08/26 17:54:29 - mmengine - INFO - Epoch(train) [119][100/125] lr: 8.0000e-03 eta: 0:35:43 time: 0.3790 data_time: 0.0734 memory: 6937 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0098 loss_cls: 0.0695 acc: 95.5811 loss_bbox: 0.1060 loss_mask: 0.1830 loss: 0.3751 2022/08/26 17:54:31 - mmengine - INFO - Epoch(train) [119][105/125] lr: 8.0000e-03 eta: 0:35:43 time: 0.3874 data_time: 0.0594 memory: 6486 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0110 loss_cls: 0.0753 acc: 96.4355 loss_bbox: 0.1123 loss_mask: 0.1946 loss: 0.3994 2022/08/26 17:54:33 - mmengine - INFO - Epoch(train) [119][110/125] lr: 8.0000e-03 eta: 0:35:39 time: 0.3464 data_time: 0.0600 memory: 6480 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0089 loss_cls: 0.0805 acc: 97.4609 loss_bbox: 0.1144 loss_mask: 0.2056 loss: 0.4170 2022/08/26 17:54:34 - mmengine - INFO - Epoch(train) [119][115/125] lr: 8.0000e-03 eta: 0:35:39 time: 0.3090 data_time: 0.0428 memory: 6235 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0094 loss_cls: 0.0768 acc: 98.1445 loss_bbox: 0.1109 loss_mask: 0.2063 loss: 0.4113 2022/08/26 17:54:36 - mmengine - INFO - Epoch(train) [119][120/125] lr: 8.0000e-03 eta: 0:35:35 time: 0.3247 data_time: 0.0564 memory: 6402 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0088 loss_cls: 0.0675 acc: 97.1436 loss_bbox: 0.1041 loss_mask: 0.1919 loss: 0.3776 2022/08/26 17:54:38 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:54:38 - mmengine - INFO - Epoch(train) [119][125/125] lr: 8.0000e-03 eta: 0:35:35 time: 0.3378 data_time: 0.0643 memory: 6640 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0097 loss_cls: 0.0807 acc: 97.6562 loss_bbox: 0.1224 loss_mask: 0.1955 loss: 0.4157 2022/08/26 17:54:41 - mmengine - INFO - Epoch(train) [120][5/125] lr: 8.0000e-03 eta: 0:35:35 time: 0.5288 data_time: 0.1531 memory: 6636 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0125 loss_cls: 0.0913 acc: 96.7529 loss_bbox: 0.1337 loss_mask: 0.2046 loss: 0.4511 2022/08/26 17:54:44 - mmengine - INFO - Epoch(train) [120][10/125] lr: 8.0000e-03 eta: 0:35:28 time: 0.5849 data_time: 0.2136 memory: 6278 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0133 loss_cls: 0.0834 acc: 97.8516 loss_bbox: 0.1226 loss_mask: 0.2048 loss: 0.4318 2022/08/26 17:54:45 - mmengine - INFO - Epoch(train) [120][15/125] lr: 8.0000e-03 eta: 0:35:28 time: 0.3680 data_time: 0.1006 memory: 6717 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0106 loss_cls: 0.0811 acc: 96.5088 loss_bbox: 0.1216 loss_mask: 0.2017 loss: 0.4232 2022/08/26 17:54:49 - mmengine - INFO - Epoch(train) [120][20/125] lr: 8.0000e-03 eta: 0:35:24 time: 0.5018 data_time: 0.2334 memory: 6500 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0073 loss_cls: 0.0832 acc: 96.0938 loss_bbox: 0.1247 loss_mask: 0.1959 loss: 0.4172 2022/08/26 17:54:52 - mmengine - INFO - Epoch(train) [120][25/125] lr: 8.0000e-03 eta: 0:35:24 time: 0.6700 data_time: 0.3640 memory: 6496 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0113 loss_cls: 0.0739 acc: 96.5576 loss_bbox: 0.1130 loss_mask: 0.1870 loss: 0.3900 2022/08/26 17:54:54 - mmengine - INFO - Epoch(train) [120][30/125] lr: 8.0000e-03 eta: 0:35:20 time: 0.5059 data_time: 0.2007 memory: 6698 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0115 loss_cls: 0.0706 acc: 98.4863 loss_bbox: 0.1103 loss_mask: 0.1990 loss: 0.3976 2022/08/26 17:54:55 - mmengine - INFO - Epoch(train) [120][35/125] lr: 8.0000e-03 eta: 0:35:20 time: 0.3371 data_time: 0.0686 memory: 6578 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0069 loss_cls: 0.0736 acc: 96.7285 loss_bbox: 0.1165 loss_mask: 0.2070 loss: 0.4103 2022/08/26 17:54:57 - mmengine - INFO - Epoch(train) [120][40/125] lr: 8.0000e-03 eta: 0:35:16 time: 0.3394 data_time: 0.0696 memory: 6278 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0096 loss_cls: 0.0733 acc: 95.9961 loss_bbox: 0.1189 loss_mask: 0.1862 loss: 0.3941 2022/08/26 17:54:59 - mmengine - INFO - Epoch(train) [120][45/125] lr: 8.0000e-03 eta: 0:35:16 time: 0.3533 data_time: 0.0793 memory: 6405 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0106 loss_cls: 0.0735 acc: 95.6055 loss_bbox: 0.1165 loss_mask: 0.1780 loss: 0.3851 2022/08/26 17:55:00 - mmengine - INFO - Epoch(train) [120][50/125] lr: 8.0000e-03 eta: 0:35:12 time: 0.3468 data_time: 0.0423 memory: 6496 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0084 loss_cls: 0.0737 acc: 97.7295 loss_bbox: 0.1142 loss_mask: 0.1766 loss: 0.3802 2022/08/26 17:55:02 - mmengine - INFO - Epoch(train) [120][55/125] lr: 8.0000e-03 eta: 0:35:12 time: 0.3736 data_time: 0.0745 memory: 6356 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0092 loss_cls: 0.0704 acc: 97.5098 loss_bbox: 0.1065 loss_mask: 0.1789 loss: 0.3717 2022/08/26 17:55:04 - mmengine - INFO - Epoch(train) [120][60/125] lr: 8.0000e-03 eta: 0:35:07 time: 0.3880 data_time: 0.1175 memory: 6630 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0108 loss_cls: 0.0791 acc: 97.1191 loss_bbox: 0.1202 loss_mask: 0.1840 loss: 0.3998 2022/08/26 17:55:07 - mmengine - INFO - Epoch(train) [120][65/125] lr: 8.0000e-03 eta: 0:35:07 time: 0.4173 data_time: 0.1485 memory: 6193 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0105 loss_cls: 0.0873 acc: 96.7041 loss_bbox: 0.1243 loss_mask: 0.2054 loss: 0.4342 2022/08/26 17:55:08 - mmengine - INFO - Epoch(train) [120][70/125] lr: 8.0000e-03 eta: 0:35:03 time: 0.4036 data_time: 0.1372 memory: 6485 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0098 loss_cls: 0.0824 acc: 97.3633 loss_bbox: 0.1136 loss_mask: 0.2164 loss: 0.4286 2022/08/26 17:55:11 - mmengine - INFO - Epoch(train) [120][75/125] lr: 8.0000e-03 eta: 0:35:03 time: 0.4277 data_time: 0.0844 memory: 6369 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0091 loss_cls: 0.0798 acc: 97.2656 loss_bbox: 0.1108 loss_mask: 0.2132 loss: 0.4192 2022/08/26 17:55:13 - mmengine - INFO - Epoch(train) [120][80/125] lr: 8.0000e-03 eta: 0:34:59 time: 0.4303 data_time: 0.0797 memory: 6976 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0126 loss_cls: 0.0883 acc: 96.2402 loss_bbox: 0.1296 loss_mask: 0.2205 loss: 0.4584 2022/08/26 17:55:14 - mmengine - INFO - Epoch(train) [120][85/125] lr: 8.0000e-03 eta: 0:34:59 time: 0.3548 data_time: 0.0768 memory: 6528 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0128 loss_cls: 0.0920 acc: 96.6064 loss_bbox: 0.1448 loss_mask: 0.2107 loss: 0.4675 2022/08/26 17:55:16 - mmengine - INFO - Epoch(train) [120][90/125] lr: 8.0000e-03 eta: 0:34:55 time: 0.3407 data_time: 0.0678 memory: 6466 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0108 loss_cls: 0.0819 acc: 96.7041 loss_bbox: 0.1288 loss_mask: 0.1981 loss: 0.4258 2022/08/26 17:55:18 - mmengine - INFO - Epoch(train) [120][95/125] lr: 8.0000e-03 eta: 0:34:55 time: 0.3606 data_time: 0.0840 memory: 6415 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0109 loss_cls: 0.0791 acc: 95.6055 loss_bbox: 0.1223 loss_mask: 0.1902 loss: 0.4096 2022/08/26 17:55:21 - mmengine - INFO - Epoch(train) [120][100/125] lr: 8.0000e-03 eta: 0:34:51 time: 0.4919 data_time: 0.1365 memory: 6744 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0103 loss_cls: 0.0835 acc: 96.7529 loss_bbox: 0.1259 loss_mask: 0.1983 loss: 0.4256 2022/08/26 17:55:23 - mmengine - INFO - Epoch(train) [120][105/125] lr: 8.0000e-03 eta: 0:34:51 time: 0.4806 data_time: 0.1241 memory: 6424 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0106 loss_cls: 0.0847 acc: 96.5820 loss_bbox: 0.1294 loss_mask: 0.2014 loss: 0.4341 2022/08/26 17:55:24 - mmengine - INFO - Epoch(train) [120][110/125] lr: 8.0000e-03 eta: 0:34:46 time: 0.3432 data_time: 0.0653 memory: 6877 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0111 loss_cls: 0.0801 acc: 97.3389 loss_bbox: 0.1322 loss_mask: 0.1877 loss: 0.4181 2022/08/26 17:55:26 - mmengine - INFO - Epoch(train) [120][115/125] lr: 8.0000e-03 eta: 0:34:46 time: 0.3504 data_time: 0.0755 memory: 6826 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0104 loss_cls: 0.0797 acc: 96.2158 loss_bbox: 0.1297 loss_mask: 0.1872 loss: 0.4116 2022/08/26 17:55:28 - mmengine - INFO - Epoch(train) [120][120/125] lr: 8.0000e-03 eta: 0:34:42 time: 0.3375 data_time: 0.0652 memory: 6532 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0104 loss_cls: 0.0843 acc: 97.3633 loss_bbox: 0.1252 loss_mask: 0.2057 loss: 0.4316 2022/08/26 17:55:30 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:55:30 - mmengine - INFO - Epoch(train) [120][125/125] lr: 8.0000e-03 eta: 0:34:42 time: 0.3332 data_time: 0.0406 memory: 6584 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0132 loss_cls: 0.0862 acc: 96.1182 loss_bbox: 0.1348 loss_mask: 0.2076 loss: 0.4498 2022/08/26 17:55:30 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/26 17:55:37 - mmengine - INFO - Epoch(val) [120][5/500] eta: 0:34:42 time: 0.1305 data_time: 0.0112 memory: 1506 2022/08/26 17:55:38 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:01:10 time: 0.1440 data_time: 0.0125 memory: 1522 2022/08/26 17:55:38 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:01:10 time: 0.0820 data_time: 0.0034 memory: 1472 2022/08/26 17:55:38 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:34 time: 0.0710 data_time: 0.0019 memory: 1320 2022/08/26 17:55:39 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:34 time: 0.0631 data_time: 0.0020 memory: 1320 2022/08/26 17:55:39 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:28 time: 0.0612 data_time: 0.0021 memory: 1320 2022/08/26 17:55:39 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:28 time: 0.0672 data_time: 0.0022 memory: 1320 2022/08/26 17:55:40 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:33 time: 0.0721 data_time: 0.0024 memory: 1337 2022/08/26 17:55:40 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:33 time: 0.0680 data_time: 0.0024 memory: 1522 2022/08/26 17:55:40 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:29 time: 0.0656 data_time: 0.0024 memory: 1370 2022/08/26 17:55:41 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:29 time: 0.0661 data_time: 0.0026 memory: 1354 2022/08/26 17:55:41 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:31 time: 0.0724 data_time: 0.0024 memory: 1320 2022/08/26 17:55:42 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:31 time: 0.0758 data_time: 0.0023 memory: 1370 2022/08/26 17:55:42 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:29 time: 0.0682 data_time: 0.0022 memory: 1522 2022/08/26 17:55:42 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:29 time: 0.0673 data_time: 0.0019 memory: 1387 2022/08/26 17:55:43 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:29 time: 0.0693 data_time: 0.0020 memory: 1320 2022/08/26 17:55:43 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:29 time: 0.0663 data_time: 0.0023 memory: 1320 2022/08/26 17:55:43 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:27 time: 0.0674 data_time: 0.0023 memory: 1522 2022/08/26 17:55:44 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:27 time: 0.0664 data_time: 0.0022 memory: 1337 2022/08/26 17:55:44 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:25 time: 0.0631 data_time: 0.0022 memory: 1506 2022/08/26 17:55:44 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:25 time: 0.0764 data_time: 0.0025 memory: 1320 2022/08/26 17:55:45 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:31 time: 0.0802 data_time: 0.0043 memory: 1522 2022/08/26 17:55:45 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:31 time: 0.0682 data_time: 0.0040 memory: 1320 2022/08/26 17:55:45 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:27 time: 0.0713 data_time: 0.0021 memory: 1320 2022/08/26 17:55:46 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:27 time: 0.0819 data_time: 0.0021 memory: 1522 2022/08/26 17:55:46 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:27 time: 0.0742 data_time: 0.0021 memory: 1320 2022/08/26 17:55:46 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:27 time: 0.0649 data_time: 0.0021 memory: 1387 2022/08/26 17:55:47 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:25 time: 0.0700 data_time: 0.0022 memory: 1320 2022/08/26 17:55:47 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:25 time: 0.0698 data_time: 0.0023 memory: 1506 2022/08/26 17:55:48 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:24 time: 0.0689 data_time: 0.0023 memory: 1320 2022/08/26 17:55:48 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:24 time: 0.0697 data_time: 0.0022 memory: 1454 2022/08/26 17:55:48 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:22 time: 0.0672 data_time: 0.0022 memory: 1522 2022/08/26 17:55:49 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:22 time: 0.0654 data_time: 0.0022 memory: 1354 2022/08/26 17:55:49 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:21 time: 0.0660 data_time: 0.0021 memory: 1472 2022/08/26 17:55:50 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:21 time: 0.1165 data_time: 0.0055 memory: 1522 2022/08/26 17:55:50 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:38 time: 0.1204 data_time: 0.0071 memory: 1522 2022/08/26 17:55:50 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:38 time: 0.0700 data_time: 0.0060 memory: 1320 2022/08/26 17:55:51 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:20 time: 0.0654 data_time: 0.0045 memory: 1370 2022/08/26 17:55:51 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:20 time: 0.0619 data_time: 0.0023 memory: 1354 2022/08/26 17:55:51 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:18 time: 0.0609 data_time: 0.0022 memory: 1354 2022/08/26 17:55:52 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:18 time: 0.0648 data_time: 0.0022 memory: 1320 2022/08/26 17:55:52 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:19 time: 0.0685 data_time: 0.0022 memory: 1522 2022/08/26 17:55:52 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:19 time: 0.0674 data_time: 0.0023 memory: 1320 2022/08/26 17:55:53 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:17 time: 0.0637 data_time: 0.0022 memory: 1387 2022/08/26 17:55:53 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:17 time: 0.0629 data_time: 0.0021 memory: 1522 2022/08/26 17:55:53 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:21 time: 0.0801 data_time: 0.0022 memory: 1320 2022/08/26 17:55:54 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:21 time: 0.0831 data_time: 0.0023 memory: 1522 2022/08/26 17:55:54 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:18 time: 0.0708 data_time: 0.0022 memory: 1522 2022/08/26 17:55:55 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:18 time: 0.0695 data_time: 0.0023 memory: 1522 2022/08/26 17:55:55 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:16 time: 0.0665 data_time: 0.0022 memory: 1320 2022/08/26 17:55:55 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:16 time: 0.0982 data_time: 0.0022 memory: 1337 2022/08/26 17:55:56 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:22 time: 0.0952 data_time: 0.0022 memory: 1320 2022/08/26 17:55:56 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:22 time: 0.0629 data_time: 0.0021 memory: 1472 2022/08/26 17:55:56 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:14 time: 0.0650 data_time: 0.0021 memory: 1438 2022/08/26 17:55:57 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:14 time: 0.0660 data_time: 0.0020 memory: 1506 2022/08/26 17:55:57 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:14 time: 0.0637 data_time: 0.0020 memory: 1489 2022/08/26 17:55:57 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:14 time: 0.0629 data_time: 0.0021 memory: 1320 2022/08/26 17:55:58 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:14 time: 0.0677 data_time: 0.0022 memory: 1522 2022/08/26 17:55:58 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:14 time: 0.0664 data_time: 0.0023 memory: 1370 2022/08/26 17:55:58 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:13 time: 0.0656 data_time: 0.0022 memory: 1320 2022/08/26 17:55:59 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:13 time: 0.0608 data_time: 0.0022 memory: 1303 2022/08/26 17:55:59 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:17 time: 0.0933 data_time: 0.0022 memory: 1354 2022/08/26 17:56:00 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:17 time: 0.1392 data_time: 0.0109 memory: 1472 2022/08/26 17:56:00 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:19 time: 0.1109 data_time: 0.0111 memory: 1472 2022/08/26 17:56:01 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:19 time: 0.0714 data_time: 0.0025 memory: 1522 2022/08/26 17:56:01 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:11 time: 0.0699 data_time: 0.0022 memory: 1320 2022/08/26 17:56:02 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:11 time: 0.0703 data_time: 0.0022 memory: 1438 2022/08/26 17:56:02 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:11 time: 0.0688 data_time: 0.0022 memory: 1506 2022/08/26 17:56:02 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:11 time: 0.0669 data_time: 0.0052 memory: 1438 2022/08/26 17:56:03 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:10 time: 0.0705 data_time: 0.0051 memory: 1320 2022/08/26 17:56:03 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:10 time: 0.0772 data_time: 0.0021 memory: 1506 2022/08/26 17:56:03 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:09 time: 0.0694 data_time: 0.0021 memory: 1337 2022/08/26 17:56:04 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:09 time: 0.0636 data_time: 0.0021 memory: 1252 2022/08/26 17:56:04 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:08 time: 0.0620 data_time: 0.0021 memory: 1387 2022/08/26 17:56:04 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:08 time: 0.0567 data_time: 0.0021 memory: 1320 2022/08/26 17:56:05 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:07 time: 0.0660 data_time: 0.0021 memory: 1506 2022/08/26 17:56:05 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:07 time: 0.0708 data_time: 0.0022 memory: 1489 2022/08/26 17:56:05 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:07 time: 0.0682 data_time: 0.0022 memory: 1522 2022/08/26 17:56:06 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:07 time: 0.0907 data_time: 0.0022 memory: 1320 2022/08/26 17:56:06 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:09 time: 0.0959 data_time: 0.0021 memory: 1506 2022/08/26 17:56:06 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:09 time: 0.0723 data_time: 0.0021 memory: 1489 2022/08/26 17:56:07 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:05 time: 0.0653 data_time: 0.0021 memory: 1387 2022/08/26 17:56:07 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:05 time: 0.0731 data_time: 0.0021 memory: 1320 2022/08/26 17:56:08 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:06 time: 0.0807 data_time: 0.0022 memory: 1489 2022/08/26 17:56:08 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:06 time: 0.0776 data_time: 0.0022 memory: 1320 2022/08/26 17:56:08 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:04 time: 0.0677 data_time: 0.0022 memory: 1522 2022/08/26 17:56:09 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:04 time: 0.0669 data_time: 0.0022 memory: 1320 2022/08/26 17:56:09 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:04 time: 0.0711 data_time: 0.0022 memory: 1404 2022/08/26 17:56:09 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:04 time: 0.0703 data_time: 0.0023 memory: 1472 2022/08/26 17:56:10 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:03 time: 0.0654 data_time: 0.0022 memory: 1320 2022/08/26 17:56:10 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:03 time: 0.0635 data_time: 0.0020 memory: 1522 2022/08/26 17:56:10 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:02 time: 0.0643 data_time: 0.0020 memory: 1354 2022/08/26 17:56:11 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:02 time: 0.0641 data_time: 0.0021 memory: 1454 2022/08/26 17:56:12 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:04 time: 0.1507 data_time: 0.0264 memory: 1354 2022/08/26 17:56:12 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:04 time: 0.1533 data_time: 0.0270 memory: 1522 2022/08/26 17:56:13 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:01 time: 0.0678 data_time: 0.0027 memory: 1489 2022/08/26 17:56:13 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:01 time: 0.0628 data_time: 0.0022 memory: 1320 2022/08/26 17:56:13 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0605 data_time: 0.0021 memory: 1454 2022/08/26 17:56:13 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0634 data_time: 0.0021 memory: 1522 2022/08/26 17:56:14 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0638 data_time: 0.0040 memory: 1320 2022/08/26 17:56:14 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:56:14 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8709, precision: 0.4929, hmean: 0.6295 2022/08/26 17:56:14 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8641, precision: 0.5475, hmean: 0.6703 2022/08/26 17:56:14 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8530, precision: 0.5833, hmean: 0.6928 2022/08/26 17:56:14 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8416, precision: 0.6155, hmean: 0.7110 2022/08/26 17:56:14 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8215, precision: 0.6474, hmean: 0.7241 2022/08/26 17:56:14 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7954, precision: 0.6823, hmean: 0.7345 2022/08/26 17:56:14 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7441, precision: 0.7319, hmean: 0.7379 2022/08/26 17:56:14 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.7319 icdar/recall: 0.7441 icdar/hmean: 0.7379 2022/08/26 17:56:18 - mmengine - INFO - Epoch(train) [121][5/125] lr: 8.0000e-03 eta: 0:00:00 time: 0.5461 data_time: 0.1598 memory: 6463 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0125 loss_cls: 0.0720 acc: 97.4365 loss_bbox: 0.1179 loss_mask: 0.1843 loss: 0.3927 2022/08/26 17:56:20 - mmengine - INFO - Epoch(train) [121][10/125] lr: 8.0000e-03 eta: 0:34:35 time: 0.5707 data_time: 0.2012 memory: 6532 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0117 loss_cls: 0.0804 acc: 95.3369 loss_bbox: 0.1163 loss_mask: 0.1918 loss: 0.4054 2022/08/26 17:56:22 - mmengine - INFO - Epoch(train) [121][15/125] lr: 8.0000e-03 eta: 0:34:35 time: 0.3729 data_time: 0.0998 memory: 6369 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0100 loss_cls: 0.0892 acc: 97.5098 loss_bbox: 0.1263 loss_mask: 0.2052 loss: 0.4365 2022/08/26 17:56:24 - mmengine - INFO - Epoch(train) [121][20/125] lr: 8.0000e-03 eta: 0:34:31 time: 0.3501 data_time: 0.0771 memory: 6581 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0115 loss_cls: 0.0873 acc: 95.2881 loss_bbox: 0.1230 loss_mask: 0.2042 loss: 0.4350 2022/08/26 17:56:26 - mmengine - INFO - Epoch(train) [121][25/125] lr: 8.0000e-03 eta: 0:34:31 time: 0.4260 data_time: 0.1486 memory: 6499 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0123 loss_cls: 0.0870 acc: 96.6797 loss_bbox: 0.1222 loss_mask: 0.2082 loss: 0.4399 2022/08/26 17:56:28 - mmengine - INFO - Epoch(train) [121][30/125] lr: 8.0000e-03 eta: 0:34:27 time: 0.4821 data_time: 0.1695 memory: 6493 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0115 loss_cls: 0.0809 acc: 96.7773 loss_bbox: 0.1267 loss_mask: 0.2114 loss: 0.4377 2022/08/26 17:56:30 - mmengine - INFO - Epoch(train) [121][35/125] lr: 8.0000e-03 eta: 0:34:27 time: 0.4105 data_time: 0.0882 memory: 6545 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0118 loss_cls: 0.0873 acc: 98.1445 loss_bbox: 0.1375 loss_mask: 0.2055 loss: 0.4498 2022/08/26 17:56:32 - mmengine - INFO - Epoch(train) [121][40/125] lr: 8.0000e-03 eta: 0:34:23 time: 0.3576 data_time: 0.0783 memory: 6186 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0079 loss_cls: 0.0771 acc: 98.2422 loss_bbox: 0.1182 loss_mask: 0.1953 loss: 0.4046 2022/08/26 17:56:34 - mmengine - INFO - Epoch(train) [121][45/125] lr: 8.0000e-03 eta: 0:34:23 time: 0.3608 data_time: 0.0920 memory: 6411 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0078 loss_cls: 0.0765 acc: 97.2168 loss_bbox: 0.1186 loss_mask: 0.2049 loss: 0.4140 2022/08/26 17:56:37 - mmengine - INFO - Epoch(train) [121][50/125] lr: 8.0000e-03 eta: 0:34:19 time: 0.5352 data_time: 0.2685 memory: 6167 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0082 loss_cls: 0.0815 acc: 97.6318 loss_bbox: 0.1202 loss_mask: 0.2112 loss: 0.4293 2022/08/26 17:56:40 - mmengine - INFO - Epoch(train) [121][55/125] lr: 8.0000e-03 eta: 0:34:19 time: 0.6437 data_time: 0.2766 memory: 6538 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0087 loss_cls: 0.0747 acc: 98.2910 loss_bbox: 0.1068 loss_mask: 0.1995 loss: 0.3958 2022/08/26 17:56:42 - mmengine - INFO - Epoch(train) [121][60/125] lr: 8.0000e-03 eta: 0:34:15 time: 0.4678 data_time: 0.0849 memory: 6800 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0097 loss_cls: 0.0719 acc: 98.1201 loss_bbox: 0.1052 loss_mask: 0.1893 loss: 0.3819 2022/08/26 17:56:44 - mmengine - INFO - Epoch(train) [121][65/125] lr: 8.0000e-03 eta: 0:34:15 time: 0.3468 data_time: 0.0663 memory: 6406 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0083 loss_cls: 0.0744 acc: 97.6074 loss_bbox: 0.1160 loss_mask: 0.1903 loss: 0.3953 2022/08/26 17:56:45 - mmengine - INFO - Epoch(train) [121][70/125] lr: 8.0000e-03 eta: 0:34:11 time: 0.3396 data_time: 0.0756 memory: 6213 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0082 loss_cls: 0.0761 acc: 98.1689 loss_bbox: 0.1114 loss_mask: 0.1989 loss: 0.4005 2022/08/26 17:56:47 - mmengine - INFO - Epoch(train) [121][75/125] lr: 8.0000e-03 eta: 0:34:11 time: 0.3551 data_time: 0.0869 memory: 6554 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0096 loss_cls: 0.0723 acc: 98.4131 loss_bbox: 0.1042 loss_mask: 0.1983 loss: 0.3901 2022/08/26 17:56:49 - mmengine - INFO - Epoch(train) [121][80/125] lr: 8.0000e-03 eta: 0:34:06 time: 0.3603 data_time: 0.0840 memory: 6294 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0095 loss_cls: 0.0780 acc: 96.0938 loss_bbox: 0.1182 loss_mask: 0.1911 loss: 0.4019 2022/08/26 17:56:51 - mmengine - INFO - Epoch(train) [121][85/125] lr: 8.0000e-03 eta: 0:34:06 time: 0.3953 data_time: 0.1178 memory: 6177 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0083 loss_cls: 0.0789 acc: 95.7031 loss_bbox: 0.1187 loss_mask: 0.1938 loss: 0.4050 2022/08/26 17:56:53 - mmengine - INFO - Epoch(train) [121][90/125] lr: 8.0000e-03 eta: 0:34:02 time: 0.3985 data_time: 0.1261 memory: 6767 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0093 loss_cls: 0.0764 acc: 97.3633 loss_bbox: 0.1104 loss_mask: 0.1968 loss: 0.3979 2022/08/26 17:56:55 - mmengine - INFO - Epoch(train) [121][95/125] lr: 8.0000e-03 eta: 0:34:02 time: 0.3928 data_time: 0.1043 memory: 6467 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0114 loss_cls: 0.0804 acc: 96.9482 loss_bbox: 0.1152 loss_mask: 0.1866 loss: 0.4003 2022/08/26 17:56:57 - mmengine - INFO - Epoch(train) [121][100/125] lr: 8.0000e-03 eta: 0:33:58 time: 0.3833 data_time: 0.0929 memory: 6542 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0107 loss_cls: 0.0807 acc: 96.4111 loss_bbox: 0.1232 loss_mask: 0.1806 loss: 0.4009 2022/08/26 17:56:59 - mmengine - INFO - Epoch(train) [121][105/125] lr: 8.0000e-03 eta: 0:33:58 time: 0.3810 data_time: 0.0774 memory: 6440 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0107 loss_cls: 0.0790 acc: 98.4131 loss_bbox: 0.1196 loss_mask: 0.1964 loss: 0.4126 2022/08/26 17:57:01 - mmengine - INFO - Epoch(train) [121][110/125] lr: 8.0000e-03 eta: 0:33:54 time: 0.3991 data_time: 0.0849 memory: 6610 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0120 loss_cls: 0.0847 acc: 96.3867 loss_bbox: 0.1214 loss_mask: 0.1999 loss: 0.4252 2022/08/26 17:57:03 - mmengine - INFO - Epoch(train) [121][115/125] lr: 8.0000e-03 eta: 0:33:54 time: 0.3840 data_time: 0.0987 memory: 6328 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0121 loss_cls: 0.0879 acc: 96.7529 loss_bbox: 0.1242 loss_mask: 0.1967 loss: 0.4273 2022/08/26 17:57:04 - mmengine - INFO - Epoch(train) [121][120/125] lr: 8.0000e-03 eta: 0:33:49 time: 0.3675 data_time: 0.0951 memory: 6324 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0127 loss_cls: 0.0857 acc: 96.0693 loss_bbox: 0.1221 loss_mask: 0.2172 loss: 0.4470 2022/08/26 17:57:06 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:57:06 - mmengine - INFO - Epoch(train) [121][125/125] lr: 8.0000e-03 eta: 0:33:49 time: 0.3309 data_time: 0.0627 memory: 6515 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0109 loss_cls: 0.0815 acc: 97.7051 loss_bbox: 0.1207 loss_mask: 0.2235 loss: 0.4446 2022/08/26 17:57:09 - mmengine - INFO - Epoch(train) [122][5/125] lr: 8.0000e-03 eta: 0:33:49 time: 0.4774 data_time: 0.1753 memory: 6826 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0101 loss_cls: 0.0805 acc: 97.1191 loss_bbox: 0.1182 loss_mask: 0.2029 loss: 0.4197 2022/08/26 17:57:11 - mmengine - INFO - Epoch(train) [122][10/125] lr: 8.0000e-03 eta: 0:33:43 time: 0.4947 data_time: 0.1926 memory: 6376 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0104 loss_cls: 0.0743 acc: 97.7783 loss_bbox: 0.1098 loss_mask: 0.1914 loss: 0.3931 2022/08/26 17:57:13 - mmengine - INFO - Epoch(train) [122][15/125] lr: 8.0000e-03 eta: 0:33:43 time: 0.3715 data_time: 0.1025 memory: 6207 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0096 loss_cls: 0.0756 acc: 95.6299 loss_bbox: 0.1166 loss_mask: 0.2057 loss: 0.4133 2022/08/26 17:57:15 - mmengine - INFO - Epoch(train) [122][20/125] lr: 8.0000e-03 eta: 0:33:38 time: 0.3561 data_time: 0.0858 memory: 6333 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0095 loss_cls: 0.0857 acc: 96.8506 loss_bbox: 0.1298 loss_mask: 0.2089 loss: 0.4402 2022/08/26 17:57:18 - mmengine - INFO - Epoch(train) [122][25/125] lr: 8.0000e-03 eta: 0:33:38 time: 0.4940 data_time: 0.2232 memory: 6552 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0100 loss_cls: 0.0891 acc: 94.7266 loss_bbox: 0.1273 loss_mask: 0.2003 loss: 0.4343 2022/08/26 17:57:21 - mmengine - INFO - Epoch(train) [122][30/125] lr: 8.0000e-03 eta: 0:33:35 time: 0.6323 data_time: 0.2170 memory: 6551 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0097 loss_cls: 0.0900 acc: 96.7773 loss_bbox: 0.1281 loss_mask: 0.2039 loss: 0.4396 2022/08/26 17:57:23 - mmengine - INFO - Epoch(train) [122][35/125] lr: 8.0000e-03 eta: 0:33:35 time: 0.4669 data_time: 0.0527 memory: 6389 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0079 loss_cls: 0.0776 acc: 97.7783 loss_bbox: 0.1196 loss_mask: 0.1982 loss: 0.4085 2022/08/26 17:57:25 - mmengine - INFO - Epoch(train) [122][40/125] lr: 8.0000e-03 eta: 0:33:30 time: 0.3660 data_time: 0.0997 memory: 6519 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0068 loss_cls: 0.0755 acc: 96.7529 loss_bbox: 0.1152 loss_mask: 0.1942 loss: 0.3968 2022/08/26 17:57:26 - mmengine - INFO - Epoch(train) [122][45/125] lr: 8.0000e-03 eta: 0:33:30 time: 0.3784 data_time: 0.1120 memory: 6346 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0091 loss_cls: 0.0803 acc: 96.9238 loss_bbox: 0.1162 loss_mask: 0.2023 loss: 0.4138 2022/08/26 17:57:28 - mmengine - INFO - Epoch(train) [122][50/125] lr: 8.0000e-03 eta: 0:33:26 time: 0.3611 data_time: 0.0852 memory: 6575 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0097 loss_cls: 0.0812 acc: 94.8486 loss_bbox: 0.1193 loss_mask: 0.2043 loss: 0.4217 2022/08/26 17:57:30 - mmengine - INFO - Epoch(train) [122][55/125] lr: 8.0000e-03 eta: 0:33:26 time: 0.3634 data_time: 0.0802 memory: 6636 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0098 loss_cls: 0.0869 acc: 97.4854 loss_bbox: 0.1312 loss_mask: 0.2115 loss: 0.4474 2022/08/26 17:57:32 - mmengine - INFO - Epoch(train) [122][60/125] lr: 8.0000e-03 eta: 0:33:22 time: 0.3745 data_time: 0.0993 memory: 6754 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0102 loss_cls: 0.0863 acc: 95.7031 loss_bbox: 0.1301 loss_mask: 0.2050 loss: 0.4380 2022/08/26 17:57:34 - mmengine - INFO - Epoch(train) [122][65/125] lr: 8.0000e-03 eta: 0:33:22 time: 0.4332 data_time: 0.1663 memory: 6367 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0087 loss_cls: 0.0819 acc: 97.9004 loss_bbox: 0.1221 loss_mask: 0.2062 loss: 0.4241 2022/08/26 17:57:37 - mmengine - INFO - Epoch(train) [122][70/125] lr: 8.0000e-03 eta: 0:33:18 time: 0.4615 data_time: 0.1946 memory: 6551 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0110 loss_cls: 0.0797 acc: 97.7295 loss_bbox: 0.1204 loss_mask: 0.2057 loss: 0.4222 2022/08/26 17:57:38 - mmengine - INFO - Epoch(train) [122][75/125] lr: 8.0000e-03 eta: 0:33:18 time: 0.3815 data_time: 0.1122 memory: 6591 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0119 loss_cls: 0.0796 acc: 94.9951 loss_bbox: 0.1236 loss_mask: 0.1862 loss: 0.4070 2022/08/26 17:57:41 - mmengine - INFO - Epoch(train) [122][80/125] lr: 8.0000e-03 eta: 0:33:14 time: 0.4006 data_time: 0.1192 memory: 6382 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0104 loss_cls: 0.0822 acc: 97.5098 loss_bbox: 0.1284 loss_mask: 0.1993 loss: 0.4270 2022/08/26 17:57:42 - mmengine - INFO - Epoch(train) [122][85/125] lr: 8.0000e-03 eta: 0:33:14 time: 0.3904 data_time: 0.1130 memory: 5977 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0089 loss_cls: 0.0715 acc: 98.0469 loss_bbox: 0.1061 loss_mask: 0.2120 loss: 0.4044 2022/08/26 17:57:44 - mmengine - INFO - Epoch(train) [122][90/125] lr: 8.0000e-03 eta: 0:33:09 time: 0.3224 data_time: 0.0509 memory: 6796 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0118 loss_cls: 0.0763 acc: 96.8750 loss_bbox: 0.1120 loss_mask: 0.1947 loss: 0.4032 2022/08/26 17:57:45 - mmengine - INFO - Epoch(train) [122][95/125] lr: 8.0000e-03 eta: 0:33:09 time: 0.3305 data_time: 0.0546 memory: 6682 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0123 loss_cls: 0.0934 acc: 96.1426 loss_bbox: 0.1384 loss_mask: 0.1931 loss: 0.4465 2022/08/26 17:57:48 - mmengine - INFO - Epoch(train) [122][100/125] lr: 8.0000e-03 eta: 0:33:05 time: 0.4050 data_time: 0.1377 memory: 6386 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0080 loss_cls: 0.0818 acc: 97.0703 loss_bbox: 0.1186 loss_mask: 0.2053 loss: 0.4195 2022/08/26 17:57:51 - mmengine - INFO - Epoch(train) [122][105/125] lr: 8.0000e-03 eta: 0:33:05 time: 0.5825 data_time: 0.2998 memory: 6418 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0093 loss_cls: 0.0774 acc: 96.1182 loss_bbox: 0.1194 loss_mask: 0.2044 loss: 0.4163 2022/08/26 17:57:54 - mmengine - INFO - Epoch(train) [122][110/125] lr: 8.0000e-03 eta: 0:33:01 time: 0.5747 data_time: 0.2553 memory: 6976 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0134 loss_cls: 0.1000 acc: 96.8018 loss_bbox: 0.1542 loss_mask: 0.2012 loss: 0.4773 2022/08/26 17:57:55 - mmengine - INFO - Epoch(train) [122][115/125] lr: 8.0000e-03 eta: 0:33:01 time: 0.3940 data_time: 0.0934 memory: 6392 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0110 loss_cls: 0.0917 acc: 98.0957 loss_bbox: 0.1346 loss_mask: 0.1893 loss: 0.4354 2022/08/26 17:57:57 - mmengine - INFO - Epoch(train) [122][120/125] lr: 8.0000e-03 eta: 0:32:57 time: 0.3341 data_time: 0.0654 memory: 6313 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0075 loss_cls: 0.0768 acc: 96.3623 loss_bbox: 0.1026 loss_mask: 0.1869 loss: 0.3810 2022/08/26 17:57:59 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:57:59 - mmengine - INFO - Epoch(train) [122][125/125] lr: 8.0000e-03 eta: 0:32:57 time: 0.3612 data_time: 0.0865 memory: 6419 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0097 loss_cls: 0.0863 acc: 97.2168 loss_bbox: 0.1184 loss_mask: 0.2035 loss: 0.4251 2022/08/26 17:58:03 - mmengine - INFO - Epoch(train) [123][5/125] lr: 8.0000e-03 eta: 0:32:57 time: 0.6072 data_time: 0.3260 memory: 6743 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0126 loss_cls: 0.0803 acc: 96.0205 loss_bbox: 0.1263 loss_mask: 0.2051 loss: 0.4302 2022/08/26 17:58:05 - mmengine - INFO - Epoch(train) [123][10/125] lr: 8.0000e-03 eta: 0:32:51 time: 0.5890 data_time: 0.3075 memory: 6373 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0120 loss_cls: 0.0756 acc: 97.5830 loss_bbox: 0.1232 loss_mask: 0.2021 loss: 0.4206 2022/08/26 17:58:07 - mmengine - INFO - Epoch(train) [123][15/125] lr: 8.0000e-03 eta: 0:32:51 time: 0.3764 data_time: 0.0992 memory: 6525 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0111 loss_cls: 0.0805 acc: 97.2412 loss_bbox: 0.1195 loss_mask: 0.1930 loss: 0.4143 2022/08/26 17:58:08 - mmengine - INFO - Epoch(train) [123][20/125] lr: 8.0000e-03 eta: 0:32:46 time: 0.3570 data_time: 0.0876 memory: 6474 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0112 loss_cls: 0.0775 acc: 97.6562 loss_bbox: 0.1100 loss_mask: 0.1855 loss: 0.3928 2022/08/26 17:58:11 - mmengine - INFO - Epoch(train) [123][25/125] lr: 8.0000e-03 eta: 0:32:46 time: 0.4021 data_time: 0.0987 memory: 6363 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0130 loss_cls: 0.0805 acc: 96.6309 loss_bbox: 0.1166 loss_mask: 0.1955 loss: 0.4135 2022/08/26 17:58:12 - mmengine - INFO - Epoch(train) [123][30/125] lr: 8.0000e-03 eta: 0:32:42 time: 0.4024 data_time: 0.0965 memory: 6914 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0126 loss_cls: 0.0833 acc: 96.6797 loss_bbox: 0.1203 loss_mask: 0.1877 loss: 0.4106 2022/08/26 17:58:14 - mmengine - INFO - Epoch(train) [123][35/125] lr: 8.0000e-03 eta: 0:32:42 time: 0.3244 data_time: 0.0536 memory: 6718 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0106 loss_cls: 0.0855 acc: 96.1426 loss_bbox: 0.1291 loss_mask: 0.1870 loss: 0.4196 2022/08/26 17:58:16 - mmengine - INFO - Epoch(train) [123][40/125] lr: 8.0000e-03 eta: 0:32:38 time: 0.3326 data_time: 0.0607 memory: 6375 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0105 loss_cls: 0.0825 acc: 98.3887 loss_bbox: 0.1224 loss_mask: 0.2113 loss: 0.4366 2022/08/26 17:58:18 - mmengine - INFO - Epoch(train) [123][45/125] lr: 8.0000e-03 eta: 0:32:38 time: 0.3730 data_time: 0.1032 memory: 6279 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0080 loss_cls: 0.0698 acc: 97.3145 loss_bbox: 0.1029 loss_mask: 0.2035 loss: 0.3914 2022/08/26 17:58:20 - mmengine - INFO - Epoch(train) [123][50/125] lr: 8.0000e-03 eta: 0:32:33 time: 0.4014 data_time: 0.1064 memory: 6885 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0087 loss_cls: 0.0708 acc: 97.1436 loss_bbox: 0.1187 loss_mask: 0.1810 loss: 0.3837 2022/08/26 17:58:22 - mmengine - INFO - Epoch(train) [123][55/125] lr: 8.0000e-03 eta: 0:32:33 time: 0.3801 data_time: 0.0871 memory: 6189 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0105 loss_cls: 0.0774 acc: 96.3379 loss_bbox: 0.1227 loss_mask: 0.1999 loss: 0.4158 2022/08/26 17:58:23 - mmengine - INFO - Epoch(train) [123][60/125] lr: 8.0000e-03 eta: 0:32:29 time: 0.3637 data_time: 0.0983 memory: 6385 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0080 loss_cls: 0.0753 acc: 95.5811 loss_bbox: 0.1057 loss_mask: 0.2094 loss: 0.4047 2022/08/26 17:58:25 - mmengine - INFO - Epoch(train) [123][65/125] lr: 8.0000e-03 eta: 0:32:29 time: 0.3466 data_time: 0.0804 memory: 6518 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0074 loss_cls: 0.0770 acc: 96.9971 loss_bbox: 0.1048 loss_mask: 0.1958 loss: 0.3931 2022/08/26 17:58:27 - mmengine - INFO - Epoch(train) [123][70/125] lr: 8.0000e-03 eta: 0:32:25 time: 0.3434 data_time: 0.0702 memory: 6549 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0085 loss_cls: 0.0894 acc: 95.8984 loss_bbox: 0.1289 loss_mask: 0.1949 loss: 0.4290 2022/08/26 17:58:29 - mmengine - INFO - Epoch(train) [123][75/125] lr: 8.0000e-03 eta: 0:32:25 time: 0.3636 data_time: 0.0625 memory: 6675 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0079 loss_cls: 0.0856 acc: 96.1426 loss_bbox: 0.1291 loss_mask: 0.1930 loss: 0.4207 2022/08/26 17:58:31 - mmengine - INFO - Epoch(train) [123][80/125] lr: 8.0000e-03 eta: 0:32:21 time: 0.4406 data_time: 0.0729 memory: 6839 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0088 loss_cls: 0.0781 acc: 97.5098 loss_bbox: 0.1164 loss_mask: 0.1837 loss: 0.3925 2022/08/26 17:58:34 - mmengine - INFO - Epoch(train) [123][85/125] lr: 8.0000e-03 eta: 0:32:21 time: 0.4703 data_time: 0.1187 memory: 6300 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0089 loss_cls: 0.0781 acc: 96.5820 loss_bbox: 0.1161 loss_mask: 0.1883 loss: 0.3970 2022/08/26 17:58:35 - mmengine - INFO - Epoch(train) [123][90/125] lr: 8.0000e-03 eta: 0:32:16 time: 0.3931 data_time: 0.1069 memory: 6678 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0100 loss_cls: 0.0752 acc: 97.9980 loss_bbox: 0.1154 loss_mask: 0.1978 loss: 0.4039 2022/08/26 17:58:37 - mmengine - INFO - Epoch(train) [123][95/125] lr: 8.0000e-03 eta: 0:32:16 time: 0.3488 data_time: 0.0744 memory: 6571 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0106 loss_cls: 0.0864 acc: 97.2656 loss_bbox: 0.1256 loss_mask: 0.1953 loss: 0.4247 2022/08/26 17:58:39 - mmengine - INFO - Epoch(train) [123][100/125] lr: 8.0000e-03 eta: 0:32:12 time: 0.3459 data_time: 0.0766 memory: 6457 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0111 loss_cls: 0.0856 acc: 96.8994 loss_bbox: 0.1244 loss_mask: 0.1876 loss: 0.4151 2022/08/26 17:58:41 - mmengine - INFO - Epoch(train) [123][105/125] lr: 8.0000e-03 eta: 0:32:12 time: 0.3532 data_time: 0.0614 memory: 6660 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0121 loss_cls: 0.0710 acc: 95.8008 loss_bbox: 0.1128 loss_mask: 0.1806 loss: 0.3836 2022/08/26 17:58:42 - mmengine - INFO - Epoch(train) [123][110/125] lr: 8.0000e-03 eta: 0:32:08 time: 0.3696 data_time: 0.0737 memory: 6545 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0111 loss_cls: 0.0755 acc: 97.3145 loss_bbox: 0.1199 loss_mask: 0.1866 loss: 0.4012 2022/08/26 17:58:45 - mmengine - INFO - Epoch(train) [123][115/125] lr: 8.0000e-03 eta: 0:32:08 time: 0.4232 data_time: 0.1218 memory: 7660 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0136 loss_cls: 0.0935 acc: 96.9238 loss_bbox: 0.1434 loss_mask: 0.1980 loss: 0.4562 2022/08/26 17:58:46 - mmengine - INFO - Epoch(train) [123][120/125] lr: 8.0000e-03 eta: 0:32:04 time: 0.4081 data_time: 0.1006 memory: 6503 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0137 loss_cls: 0.0896 acc: 98.0469 loss_bbox: 0.1370 loss_mask: 0.1944 loss: 0.4440 2022/08/26 17:58:48 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:58:48 - mmengine - INFO - Epoch(train) [123][125/125] lr: 8.0000e-03 eta: 0:32:04 time: 0.3204 data_time: 0.0429 memory: 6585 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0104 loss_cls: 0.0774 acc: 97.0215 loss_bbox: 0.1125 loss_mask: 0.1950 loss: 0.4026 2022/08/26 17:58:52 - mmengine - INFO - Epoch(train) [124][5/125] lr: 8.0000e-03 eta: 0:32:04 time: 0.5539 data_time: 0.2831 memory: 6646 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0104 loss_cls: 0.0813 acc: 96.4355 loss_bbox: 0.1232 loss_mask: 0.1963 loss: 0.4182 2022/08/26 17:58:54 - mmengine - INFO - Epoch(train) [124][10/125] lr: 8.0000e-03 eta: 0:31:57 time: 0.5529 data_time: 0.2764 memory: 6626 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0091 loss_cls: 0.0831 acc: 98.5107 loss_bbox: 0.1333 loss_mask: 0.1936 loss: 0.4261 2022/08/26 17:58:56 - mmengine - INFO - Epoch(train) [124][15/125] lr: 8.0000e-03 eta: 0:31:57 time: 0.3542 data_time: 0.0692 memory: 6386 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0087 loss_cls: 0.0817 acc: 95.8008 loss_bbox: 0.1253 loss_mask: 0.1983 loss: 0.4203 2022/08/26 17:58:58 - mmengine - INFO - Epoch(train) [124][20/125] lr: 8.0000e-03 eta: 0:31:53 time: 0.4070 data_time: 0.1184 memory: 6895 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0118 loss_cls: 0.0831 acc: 97.2412 loss_bbox: 0.1245 loss_mask: 0.1963 loss: 0.4225 2022/08/26 17:59:02 - mmengine - INFO - Epoch(train) [124][25/125] lr: 8.0000e-03 eta: 0:31:53 time: 0.6146 data_time: 0.2210 memory: 6587 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0104 loss_cls: 0.0847 acc: 97.3389 loss_bbox: 0.1222 loss_mask: 0.1930 loss: 0.4167 2022/08/26 17:59:03 - mmengine - INFO - Epoch(train) [124][30/125] lr: 8.0000e-03 eta: 0:31:49 time: 0.5764 data_time: 0.1805 memory: 6344 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0096 loss_cls: 0.0834 acc: 95.7031 loss_bbox: 0.1224 loss_mask: 0.2059 loss: 0.4297 2022/08/26 17:59:05 - mmengine - INFO - Epoch(train) [124][35/125] lr: 8.0000e-03 eta: 0:31:49 time: 0.3411 data_time: 0.0608 memory: 6595 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0120 loss_cls: 0.0880 acc: 96.9727 loss_bbox: 0.1310 loss_mask: 0.2202 loss: 0.4637 2022/08/26 17:59:07 - mmengine - INFO - Epoch(train) [124][40/125] lr: 8.0000e-03 eta: 0:31:45 time: 0.3613 data_time: 0.0909 memory: 6839 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0111 loss_cls: 0.0901 acc: 97.0703 loss_bbox: 0.1339 loss_mask: 0.2179 loss: 0.4637 2022/08/26 17:59:09 - mmengine - INFO - Epoch(train) [124][45/125] lr: 8.0000e-03 eta: 0:31:45 time: 0.3658 data_time: 0.0939 memory: 6650 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0113 loss_cls: 0.0868 acc: 95.9229 loss_bbox: 0.1325 loss_mask: 0.2076 loss: 0.4447 2022/08/26 17:59:11 - mmengine - INFO - Epoch(train) [124][50/125] lr: 8.0000e-03 eta: 0:31:41 time: 0.3740 data_time: 0.0841 memory: 6561 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0118 loss_cls: 0.0758 acc: 97.2412 loss_bbox: 0.1185 loss_mask: 0.1932 loss: 0.4056 2022/08/26 17:59:13 - mmengine - INFO - Epoch(train) [124][55/125] lr: 8.0000e-03 eta: 0:31:41 time: 0.3672 data_time: 0.0808 memory: 6578 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0114 loss_cls: 0.0735 acc: 96.2158 loss_bbox: 0.1135 loss_mask: 0.1985 loss: 0.4041 2022/08/26 17:59:14 - mmengine - INFO - Epoch(train) [124][60/125] lr: 8.0000e-03 eta: 0:31:36 time: 0.3362 data_time: 0.0703 memory: 6343 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0099 loss_cls: 0.0741 acc: 96.7285 loss_bbox: 0.1139 loss_mask: 0.2032 loss: 0.4081 2022/08/26 17:59:17 - mmengine - INFO - Epoch(train) [124][65/125] lr: 8.0000e-03 eta: 0:31:36 time: 0.4355 data_time: 0.1447 memory: 6467 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0104 loss_cls: 0.0779 acc: 95.7520 loss_bbox: 0.1181 loss_mask: 0.1985 loss: 0.4103 2022/08/26 17:59:19 - mmengine - INFO - Epoch(train) [124][70/125] lr: 8.0000e-03 eta: 0:31:32 time: 0.4814 data_time: 0.1847 memory: 6206 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0124 loss_cls: 0.0800 acc: 97.1191 loss_bbox: 0.1208 loss_mask: 0.1966 loss: 0.4174 2022/08/26 17:59:21 - mmengine - INFO - Epoch(train) [124][75/125] lr: 8.0000e-03 eta: 0:31:32 time: 0.3724 data_time: 0.0948 memory: 6751 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0113 loss_cls: 0.0694 acc: 98.7305 loss_bbox: 0.1102 loss_mask: 0.1960 loss: 0.3946 2022/08/26 17:59:22 - mmengine - INFO - Epoch(train) [124][80/125] lr: 8.0000e-03 eta: 0:31:28 time: 0.3422 data_time: 0.0600 memory: 6557 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0104 loss_cls: 0.0743 acc: 97.1191 loss_bbox: 0.1197 loss_mask: 0.2001 loss: 0.4095 2022/08/26 17:59:24 - mmengine - INFO - Epoch(train) [124][85/125] lr: 8.0000e-03 eta: 0:31:28 time: 0.3513 data_time: 0.0696 memory: 6467 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0089 loss_cls: 0.0794 acc: 97.3389 loss_bbox: 0.1275 loss_mask: 0.1949 loss: 0.4154 2022/08/26 17:59:26 - mmengine - INFO - Epoch(train) [124][90/125] lr: 8.0000e-03 eta: 0:31:24 time: 0.3405 data_time: 0.0669 memory: 6525 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0094 loss_cls: 0.0842 acc: 96.1914 loss_bbox: 0.1268 loss_mask: 0.2026 loss: 0.4286 2022/08/26 17:59:28 - mmengine - INFO - Epoch(train) [124][95/125] lr: 8.0000e-03 eta: 0:31:24 time: 0.3686 data_time: 0.1028 memory: 6346 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0091 loss_cls: 0.0854 acc: 96.1670 loss_bbox: 0.1220 loss_mask: 0.2093 loss: 0.4318 2022/08/26 17:59:30 - mmengine - INFO - Epoch(train) [124][100/125] lr: 8.0000e-03 eta: 0:31:19 time: 0.4364 data_time: 0.1050 memory: 6196 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0071 loss_cls: 0.0744 acc: 96.0693 loss_bbox: 0.1101 loss_mask: 0.2004 loss: 0.3968 2022/08/26 17:59:32 - mmengine - INFO - Epoch(train) [124][105/125] lr: 8.0000e-03 eta: 0:31:19 time: 0.4327 data_time: 0.0917 memory: 6760 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0095 loss_cls: 0.0818 acc: 96.9238 loss_bbox: 0.1321 loss_mask: 0.1966 loss: 0.4259 2022/08/26 17:59:34 - mmengine - INFO - Epoch(train) [124][110/125] lr: 8.0000e-03 eta: 0:31:15 time: 0.3579 data_time: 0.0854 memory: 6337 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0106 loss_cls: 0.0891 acc: 97.7539 loss_bbox: 0.1384 loss_mask: 0.1960 loss: 0.4429 2022/08/26 17:59:35 - mmengine - INFO - Epoch(train) [124][115/125] lr: 8.0000e-03 eta: 0:31:15 time: 0.3259 data_time: 0.0607 memory: 6608 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0101 loss_cls: 0.0837 acc: 96.3867 loss_bbox: 0.1260 loss_mask: 0.1997 loss: 0.4289 2022/08/26 17:59:37 - mmengine - INFO - Epoch(train) [124][120/125] lr: 8.0000e-03 eta: 0:31:11 time: 0.3375 data_time: 0.0685 memory: 6449 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0145 loss_cls: 0.0922 acc: 96.3867 loss_bbox: 0.1317 loss_mask: 0.2013 loss: 0.4489 2022/08/26 17:59:39 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 17:59:39 - mmengine - INFO - Epoch(train) [124][125/125] lr: 8.0000e-03 eta: 0:31:11 time: 0.3613 data_time: 0.0871 memory: 6884 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0125 loss_cls: 0.0901 acc: 95.9961 loss_bbox: 0.1227 loss_mask: 0.1961 loss: 0.4285 2022/08/26 17:59:42 - mmengine - INFO - Epoch(train) [125][5/125] lr: 8.0000e-03 eta: 0:31:11 time: 0.4946 data_time: 0.1946 memory: 6313 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0083 loss_cls: 0.0803 acc: 97.7539 loss_bbox: 0.1166 loss_mask: 0.2007 loss: 0.4112 2022/08/26 17:59:44 - mmengine - INFO - Epoch(train) [125][10/125] lr: 8.0000e-03 eta: 0:31:04 time: 0.4768 data_time: 0.1829 memory: 6222 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0091 loss_cls: 0.0754 acc: 97.6074 loss_bbox: 0.1092 loss_mask: 0.1949 loss: 0.3945 2022/08/26 17:59:46 - mmengine - INFO - Epoch(train) [125][15/125] lr: 8.0000e-03 eta: 0:31:04 time: 0.3501 data_time: 0.0833 memory: 6088 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0088 loss_cls: 0.0715 acc: 96.1914 loss_bbox: 0.1036 loss_mask: 0.1939 loss: 0.3828 2022/08/26 17:59:48 - mmengine - INFO - Epoch(train) [125][20/125] lr: 8.0000e-03 eta: 0:31:00 time: 0.4321 data_time: 0.1649 memory: 6489 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0100 loss_cls: 0.0799 acc: 96.2891 loss_bbox: 0.1151 loss_mask: 0.2049 loss: 0.4154 2022/08/26 17:59:50 - mmengine - INFO - Epoch(train) [125][25/125] lr: 8.0000e-03 eta: 0:31:00 time: 0.4409 data_time: 0.1479 memory: 6552 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0098 loss_cls: 0.0815 acc: 97.5098 loss_bbox: 0.1230 loss_mask: 0.2014 loss: 0.4208 2022/08/26 17:59:52 - mmengine - INFO - Epoch(train) [125][30/125] lr: 8.0000e-03 eta: 0:30:56 time: 0.4042 data_time: 0.0847 memory: 6196 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0091 loss_cls: 0.0737 acc: 96.7285 loss_bbox: 0.1113 loss_mask: 0.1913 loss: 0.3909 2022/08/26 17:59:54 - mmengine - INFO - Epoch(train) [125][35/125] lr: 8.0000e-03 eta: 0:30:56 time: 0.3856 data_time: 0.0882 memory: 6300 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0093 loss_cls: 0.0756 acc: 95.8252 loss_bbox: 0.1139 loss_mask: 0.1913 loss: 0.3976 2022/08/26 17:59:56 - mmengine - INFO - Epoch(train) [125][40/125] lr: 8.0000e-03 eta: 0:30:51 time: 0.3560 data_time: 0.0804 memory: 6727 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0080 loss_cls: 0.0727 acc: 97.8027 loss_bbox: 0.1144 loss_mask: 0.1914 loss: 0.3922 2022/08/26 17:59:58 - mmengine - INFO - Epoch(train) [125][45/125] lr: 8.0000e-03 eta: 0:30:51 time: 0.3955 data_time: 0.1207 memory: 6346 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0084 loss_cls: 0.0744 acc: 98.7793 loss_bbox: 0.1123 loss_mask: 0.1971 loss: 0.3985 2022/08/26 18:00:00 - mmengine - INFO - Epoch(train) [125][50/125] lr: 8.0000e-03 eta: 0:30:47 time: 0.3699 data_time: 0.0950 memory: 6623 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0101 loss_cls: 0.0916 acc: 95.5811 loss_bbox: 0.1319 loss_mask: 0.2096 loss: 0.4526 2022/08/26 18:00:09 - mmengine - INFO - Epoch(train) [125][55/125] lr: 8.0000e-03 eta: 0:30:47 time: 1.1101 data_time: 0.0835 memory: 6607 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0111 loss_cls: 0.0928 acc: 95.4590 loss_bbox: 0.1359 loss_mask: 0.1972 loss: 0.4444 2022/08/26 18:00:12 - mmengine - INFO - Epoch(train) [125][60/125] lr: 8.0000e-03 eta: 0:30:45 time: 1.1864 data_time: 0.1523 memory: 6953 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0125 loss_cls: 0.0966 acc: 96.6553 loss_bbox: 0.1408 loss_mask: 0.1974 loss: 0.4553 2022/08/26 18:00:13 - mmengine - INFO - Epoch(train) [125][65/125] lr: 8.0000e-03 eta: 0:30:45 time: 0.4047 data_time: 0.1231 memory: 6437 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0112 loss_cls: 0.0911 acc: 96.5576 loss_bbox: 0.1312 loss_mask: 0.2048 loss: 0.4471 2022/08/26 18:00:15 - mmengine - INFO - Epoch(train) [125][70/125] lr: 8.0000e-03 eta: 0:30:41 time: 0.3437 data_time: 0.0701 memory: 6702 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0099 loss_cls: 0.0822 acc: 97.6562 loss_bbox: 0.1199 loss_mask: 0.1987 loss: 0.4179 2022/08/26 18:00:17 - mmengine - INFO - Epoch(train) [125][75/125] lr: 8.0000e-03 eta: 0:30:41 time: 0.3526 data_time: 0.0749 memory: 6228 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0098 loss_cls: 0.0781 acc: 97.6562 loss_bbox: 0.1135 loss_mask: 0.1897 loss: 0.3970 2022/08/26 18:00:19 - mmengine - INFO - Epoch(train) [125][80/125] lr: 8.0000e-03 eta: 0:30:37 time: 0.3689 data_time: 0.0927 memory: 6735 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0129 loss_cls: 0.0809 acc: 97.6318 loss_bbox: 0.1151 loss_mask: 0.1971 loss: 0.4110 2022/08/26 18:00:21 - mmengine - INFO - Epoch(train) [125][85/125] lr: 8.0000e-03 eta: 0:30:37 time: 0.4144 data_time: 0.0881 memory: 6242 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0132 loss_cls: 0.0833 acc: 98.5107 loss_bbox: 0.1199 loss_mask: 0.1966 loss: 0.4195 2022/08/26 18:00:23 - mmengine - INFO - Epoch(train) [125][90/125] lr: 8.0000e-03 eta: 0:30:32 time: 0.4250 data_time: 0.1025 memory: 6542 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0102 loss_cls: 0.0753 acc: 97.9004 loss_bbox: 0.1114 loss_mask: 0.1879 loss: 0.3936 2022/08/26 18:00:25 - mmengine - INFO - Epoch(train) [125][95/125] lr: 8.0000e-03 eta: 0:30:32 time: 0.3717 data_time: 0.1092 memory: 6252 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0087 loss_cls: 0.0730 acc: 96.7529 loss_bbox: 0.1078 loss_mask: 0.1930 loss: 0.3903 2022/08/26 18:00:27 - mmengine - INFO - Epoch(train) [125][100/125] lr: 8.0000e-03 eta: 0:30:28 time: 0.3548 data_time: 0.0899 memory: 6681 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0110 loss_cls: 0.0869 acc: 97.1191 loss_bbox: 0.1262 loss_mask: 0.2160 loss: 0.4471 2022/08/26 18:00:28 - mmengine - INFO - Epoch(train) [125][105/125] lr: 8.0000e-03 eta: 0:30:28 time: 0.3425 data_time: 0.0706 memory: 6222 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0112 loss_cls: 0.0867 acc: 97.7295 loss_bbox: 0.1278 loss_mask: 0.2068 loss: 0.4390 2022/08/26 18:00:30 - mmengine - INFO - Epoch(train) [125][110/125] lr: 8.0000e-03 eta: 0:30:24 time: 0.3314 data_time: 0.0569 memory: 6377 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0078 loss_cls: 0.0685 acc: 97.8271 loss_bbox: 0.1099 loss_mask: 0.1862 loss: 0.3767 2022/08/26 18:00:34 - mmengine - INFO - Epoch(train) [125][115/125] lr: 8.0000e-03 eta: 0:30:24 time: 0.5892 data_time: 0.3157 memory: 6525 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0097 loss_cls: 0.0743 acc: 95.3613 loss_bbox: 0.1160 loss_mask: 0.1953 loss: 0.4004 2022/08/26 18:00:36 - mmengine - INFO - Epoch(train) [125][120/125] lr: 8.0000e-03 eta: 0:30:20 time: 0.6273 data_time: 0.3547 memory: 6340 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0090 loss_cls: 0.0736 acc: 97.8760 loss_bbox: 0.1080 loss_mask: 0.1942 loss: 0.3911 2022/08/26 18:00:38 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:00:38 - mmengine - INFO - Epoch(train) [125][125/125] lr: 8.0000e-03 eta: 0:30:20 time: 0.3654 data_time: 0.0911 memory: 6917 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0103 loss_cls: 0.0776 acc: 97.5586 loss_bbox: 0.1175 loss_mask: 0.1964 loss: 0.4085 2022/08/26 18:00:42 - mmengine - INFO - Epoch(train) [126][5/125] lr: 8.0000e-03 eta: 0:30:20 time: 0.5270 data_time: 0.1991 memory: 6308 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0116 loss_cls: 0.0811 acc: 96.2891 loss_bbox: 0.1287 loss_mask: 0.1985 loss: 0.4247 2022/08/26 18:00:43 - mmengine - INFO - Epoch(train) [126][10/125] lr: 8.0000e-03 eta: 0:30:14 time: 0.5418 data_time: 0.2188 memory: 6437 loss_rpn_cls: 0.0037 loss_rpn_bbox: 0.0089 loss_cls: 0.0784 acc: 97.6318 loss_bbox: 0.1237 loss_mask: 0.2000 loss: 0.4148 2022/08/26 18:00:45 - mmengine - INFO - Epoch(train) [126][15/125] lr: 8.0000e-03 eta: 0:30:14 time: 0.3388 data_time: 0.0740 memory: 6463 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0096 loss_cls: 0.0799 acc: 94.7021 loss_bbox: 0.1206 loss_mask: 0.2031 loss: 0.4186 2022/08/26 18:00:47 - mmengine - INFO - Epoch(train) [126][20/125] lr: 8.0000e-03 eta: 0:30:09 time: 0.3562 data_time: 0.0904 memory: 6431 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0097 loss_cls: 0.0777 acc: 95.9473 loss_bbox: 0.1119 loss_mask: 0.2112 loss: 0.4157 2022/08/26 18:00:49 - mmengine - INFO - Epoch(train) [126][25/125] lr: 8.0000e-03 eta: 0:30:09 time: 0.4255 data_time: 0.1548 memory: 6947 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0095 loss_cls: 0.0824 acc: 96.6553 loss_bbox: 0.1224 loss_mask: 0.2116 loss: 0.4300 2022/08/26 18:00:52 - mmengine - INFO - Epoch(train) [126][30/125] lr: 8.0000e-03 eta: 0:30:05 time: 0.4904 data_time: 0.2071 memory: 6450 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0101 loss_cls: 0.0756 acc: 97.4854 loss_bbox: 0.1151 loss_mask: 0.1918 loss: 0.3990 2022/08/26 18:00:54 - mmengine - INFO - Epoch(train) [126][35/125] lr: 8.0000e-03 eta: 0:30:05 time: 0.5120 data_time: 0.2323 memory: 6320 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0078 loss_cls: 0.0657 acc: 97.7295 loss_bbox: 0.0968 loss_mask: 0.1901 loss: 0.3666 2022/08/26 18:00:56 - mmengine - INFO - Epoch(train) [126][40/125] lr: 8.0000e-03 eta: 0:30:01 time: 0.4148 data_time: 0.1445 memory: 6075 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0065 loss_cls: 0.0664 acc: 97.6562 loss_bbox: 0.0987 loss_mask: 0.1972 loss: 0.3751 2022/08/26 18:00:58 - mmengine - INFO - Epoch(train) [126][45/125] lr: 8.0000e-03 eta: 0:30:01 time: 0.3310 data_time: 0.0610 memory: 6431 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0067 loss_cls: 0.0679 acc: 98.5352 loss_bbox: 0.1052 loss_mask: 0.1835 loss: 0.3703 2022/08/26 18:01:01 - mmengine - INFO - Epoch(train) [126][50/125] lr: 8.0000e-03 eta: 0:29:58 time: 0.5528 data_time: 0.1597 memory: 6868 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0068 loss_cls: 0.0787 acc: 98.3643 loss_bbox: 0.1174 loss_mask: 0.1884 loss: 0.3971 2022/08/26 18:01:04 - mmengine - INFO - Epoch(train) [126][55/125] lr: 8.0000e-03 eta: 0:29:58 time: 0.6645 data_time: 0.2664 memory: 6757 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0092 loss_cls: 0.0834 acc: 96.9727 loss_bbox: 0.1277 loss_mask: 0.1960 loss: 0.4230 2022/08/26 18:01:06 - mmengine - INFO - Epoch(train) [126][60/125] lr: 8.0000e-03 eta: 0:29:53 time: 0.4540 data_time: 0.1732 memory: 6672 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0103 loss_cls: 0.0858 acc: 95.5566 loss_bbox: 0.1389 loss_mask: 0.1937 loss: 0.4366 2022/08/26 18:01:08 - mmengine - INFO - Epoch(train) [126][65/125] lr: 8.0000e-03 eta: 0:29:53 time: 0.3568 data_time: 0.0788 memory: 6347 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0084 loss_cls: 0.0774 acc: 97.6807 loss_bbox: 0.1214 loss_mask: 0.1932 loss: 0.4072 2022/08/26 18:01:09 - mmengine - INFO - Epoch(train) [126][70/125] lr: 8.0000e-03 eta: 0:29:49 time: 0.3601 data_time: 0.0892 memory: 6441 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0083 loss_cls: 0.0675 acc: 96.7773 loss_bbox: 0.1050 loss_mask: 0.1935 loss: 0.3796 2022/08/26 18:01:12 - mmengine - INFO - Epoch(train) [126][75/125] lr: 8.0000e-03 eta: 0:29:49 time: 0.4306 data_time: 0.0920 memory: 6519 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0099 loss_cls: 0.0794 acc: 95.5322 loss_bbox: 0.1143 loss_mask: 0.1921 loss: 0.4018 2022/08/26 18:01:14 - mmengine - INFO - Epoch(train) [126][80/125] lr: 8.0000e-03 eta: 0:29:45 time: 0.4318 data_time: 0.0892 memory: 6867 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0120 loss_cls: 0.0936 acc: 96.0693 loss_bbox: 0.1305 loss_mask: 0.1860 loss: 0.4287 2022/08/26 18:01:15 - mmengine - INFO - Epoch(train) [126][85/125] lr: 8.0000e-03 eta: 0:29:45 time: 0.3397 data_time: 0.0603 memory: 6505 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0112 loss_cls: 0.0902 acc: 97.2900 loss_bbox: 0.1342 loss_mask: 0.1930 loss: 0.4344 2022/08/26 18:01:17 - mmengine - INFO - Epoch(train) [126][90/125] lr: 8.0000e-03 eta: 0:29:41 time: 0.3379 data_time: 0.0621 memory: 6679 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0099 loss_cls: 0.0867 acc: 96.9482 loss_bbox: 0.1270 loss_mask: 0.2041 loss: 0.4337 2022/08/26 18:01:19 - mmengine - INFO - Epoch(train) [126][95/125] lr: 8.0000e-03 eta: 0:29:41 time: 0.3630 data_time: 0.0966 memory: 6354 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0095 loss_cls: 0.0831 acc: 98.0469 loss_bbox: 0.1168 loss_mask: 0.2037 loss: 0.4192 2022/08/26 18:01:22 - mmengine - INFO - Epoch(train) [126][100/125] lr: 8.0000e-03 eta: 0:29:37 time: 0.4618 data_time: 0.1304 memory: 6675 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0105 loss_cls: 0.0810 acc: 97.4609 loss_bbox: 0.1173 loss_mask: 0.2045 loss: 0.4201 2022/08/26 18:01:24 - mmengine - INFO - Epoch(train) [126][105/125] lr: 8.0000e-03 eta: 0:29:37 time: 0.4403 data_time: 0.1024 memory: 6343 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0109 loss_cls: 0.0832 acc: 97.0459 loss_bbox: 0.1218 loss_mask: 0.1938 loss: 0.4160 2022/08/26 18:01:25 - mmengine - INFO - Epoch(train) [126][110/125] lr: 8.0000e-03 eta: 0:29:32 time: 0.3369 data_time: 0.0636 memory: 6855 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0098 loss_cls: 0.0783 acc: 95.8496 loss_bbox: 0.1190 loss_mask: 0.1773 loss: 0.3894 2022/08/26 18:01:27 - mmengine - INFO - Epoch(train) [126][115/125] lr: 8.0000e-03 eta: 0:29:32 time: 0.3275 data_time: 0.0584 memory: 6327 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0098 loss_cls: 0.0742 acc: 97.4609 loss_bbox: 0.1142 loss_mask: 0.1821 loss: 0.3852 2022/08/26 18:01:29 - mmengine - INFO - Epoch(train) [126][120/125] lr: 8.0000e-03 eta: 0:29:28 time: 0.3474 data_time: 0.0798 memory: 6331 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0091 loss_cls: 0.0815 acc: 97.1191 loss_bbox: 0.1181 loss_mask: 0.1982 loss: 0.4135 2022/08/26 18:01:31 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:01:31 - mmengine - INFO - Epoch(train) [126][125/125] lr: 8.0000e-03 eta: 0:29:28 time: 0.3943 data_time: 0.0989 memory: 6222 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0091 loss_cls: 0.0788 acc: 98.2910 loss_bbox: 0.1160 loss_mask: 0.1947 loss: 0.4051 2022/08/26 18:01:34 - mmengine - INFO - Epoch(train) [127][5/125] lr: 8.0000e-03 eta: 0:29:28 time: 0.5606 data_time: 0.2675 memory: 6425 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0086 loss_cls: 0.0672 acc: 97.8271 loss_bbox: 0.1024 loss_mask: 0.1867 loss: 0.3699 2022/08/26 18:01:36 - mmengine - INFO - Epoch(train) [127][10/125] lr: 8.0000e-03 eta: 0:29:21 time: 0.5237 data_time: 0.2573 memory: 6520 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0105 loss_cls: 0.0766 acc: 96.0938 loss_bbox: 0.1141 loss_mask: 0.2090 loss: 0.4168 2022/08/26 18:01:39 - mmengine - INFO - Epoch(train) [127][15/125] lr: 8.0000e-03 eta: 0:29:21 time: 0.4735 data_time: 0.2008 memory: 6515 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0114 loss_cls: 0.0811 acc: 96.3867 loss_bbox: 0.1233 loss_mask: 0.2159 loss: 0.4381 2022/08/26 18:01:42 - mmengine - INFO - Epoch(train) [127][20/125] lr: 8.0000e-03 eta: 0:29:18 time: 0.5972 data_time: 0.2067 memory: 6577 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0111 loss_cls: 0.0846 acc: 96.9727 loss_bbox: 0.1289 loss_mask: 0.1986 loss: 0.4300 2022/08/26 18:01:44 - mmengine - INFO - Epoch(train) [127][25/125] lr: 8.0000e-03 eta: 0:29:18 time: 0.4628 data_time: 0.0771 memory: 6515 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0126 loss_cls: 0.0858 acc: 97.6562 loss_bbox: 0.1332 loss_mask: 0.1975 loss: 0.4373 2022/08/26 18:01:46 - mmengine - INFO - Epoch(train) [127][30/125] lr: 8.0000e-03 eta: 0:29:13 time: 0.3469 data_time: 0.0778 memory: 6578 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0104 loss_cls: 0.0747 acc: 96.5820 loss_bbox: 0.1189 loss_mask: 0.1900 loss: 0.4007 2022/08/26 18:01:47 - mmengine - INFO - Epoch(train) [127][35/125] lr: 8.0000e-03 eta: 0:29:13 time: 0.3673 data_time: 0.1003 memory: 6535 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0079 loss_cls: 0.0703 acc: 96.7529 loss_bbox: 0.1085 loss_mask: 0.1797 loss: 0.3714 2022/08/26 18:01:49 - mmengine - INFO - Epoch(train) [127][40/125] lr: 8.0000e-03 eta: 0:29:09 time: 0.3852 data_time: 0.1132 memory: 6668 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0099 loss_cls: 0.0882 acc: 96.0205 loss_bbox: 0.1285 loss_mask: 0.1884 loss: 0.4203 2022/08/26 18:01:52 - mmengine - INFO - Epoch(train) [127][45/125] lr: 8.0000e-03 eta: 0:29:09 time: 0.4576 data_time: 0.1430 memory: 6741 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0109 loss_cls: 0.0962 acc: 96.3623 loss_bbox: 0.1302 loss_mask: 0.1973 loss: 0.4419 2022/08/26 18:01:54 - mmengine - INFO - Epoch(train) [127][50/125] lr: 8.0000e-03 eta: 0:29:05 time: 0.4095 data_time: 0.0991 memory: 6803 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0107 loss_cls: 0.0801 acc: 96.8506 loss_bbox: 0.1052 loss_mask: 0.1889 loss: 0.3918 2022/08/26 18:01:55 - mmengine - INFO - Epoch(train) [127][55/125] lr: 8.0000e-03 eta: 0:29:05 time: 0.3272 data_time: 0.0525 memory: 6675 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0115 loss_cls: 0.0776 acc: 97.4121 loss_bbox: 0.1107 loss_mask: 0.1763 loss: 0.3831 2022/08/26 18:01:57 - mmengine - INFO - Epoch(train) [127][60/125] lr: 8.0000e-03 eta: 0:29:01 time: 0.3710 data_time: 0.0911 memory: 6499 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0110 loss_cls: 0.0762 acc: 96.7529 loss_bbox: 0.1150 loss_mask: 0.1885 loss: 0.3972 2022/08/26 18:01:59 - mmengine - INFO - Epoch(train) [127][65/125] lr: 8.0000e-03 eta: 0:29:01 time: 0.4060 data_time: 0.1022 memory: 6059 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0090 loss_cls: 0.0636 acc: 97.2168 loss_bbox: 0.0949 loss_mask: 0.2012 loss: 0.3730 2022/08/26 18:02:01 - mmengine - INFO - Epoch(train) [127][70/125] lr: 8.0000e-03 eta: 0:28:56 time: 0.3750 data_time: 0.0791 memory: 6369 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0070 loss_cls: 0.0635 acc: 97.1680 loss_bbox: 0.0975 loss_mask: 0.1959 loss: 0.3689 2022/08/26 18:02:04 - mmengine - INFO - Epoch(train) [127][75/125] lr: 8.0000e-03 eta: 0:28:56 time: 0.4679 data_time: 0.1997 memory: 6267 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0092 loss_cls: 0.0742 acc: 95.8008 loss_bbox: 0.1123 loss_mask: 0.1948 loss: 0.3969 2022/08/26 18:02:06 - mmengine - INFO - Epoch(train) [127][80/125] lr: 8.0000e-03 eta: 0:28:53 time: 0.4896 data_time: 0.1898 memory: 6418 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0115 loss_cls: 0.0844 acc: 97.2412 loss_bbox: 0.1207 loss_mask: 0.1996 loss: 0.4247 2022/08/26 18:02:08 - mmengine - INFO - Epoch(train) [127][85/125] lr: 8.0000e-03 eta: 0:28:53 time: 0.3571 data_time: 0.0595 memory: 6243 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0096 loss_cls: 0.0781 acc: 97.8027 loss_bbox: 0.1157 loss_mask: 0.1958 loss: 0.4084 2022/08/26 18:02:09 - mmengine - INFO - Epoch(train) [127][90/125] lr: 8.0000e-03 eta: 0:28:48 time: 0.3281 data_time: 0.0615 memory: 6297 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0082 loss_cls: 0.0676 acc: 98.0957 loss_bbox: 0.1043 loss_mask: 0.1884 loss: 0.3757 2022/08/26 18:02:12 - mmengine - INFO - Epoch(train) [127][95/125] lr: 8.0000e-03 eta: 0:28:48 time: 0.4660 data_time: 0.0848 memory: 6515 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0085 loss_cls: 0.0760 acc: 98.0713 loss_bbox: 0.1180 loss_mask: 0.1980 loss: 0.4063 2022/08/26 18:02:14 - mmengine - INFO - Epoch(train) [127][100/125] lr: 8.0000e-03 eta: 0:28:44 time: 0.5080 data_time: 0.1248 memory: 6587 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0091 loss_cls: 0.0838 acc: 95.7764 loss_bbox: 0.1304 loss_mask: 0.2034 loss: 0.4319 2022/08/26 18:02:17 - mmengine - INFO - Epoch(train) [127][105/125] lr: 8.0000e-03 eta: 0:28:44 time: 0.4350 data_time: 0.1631 memory: 6646 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0099 loss_cls: 0.0819 acc: 97.4121 loss_bbox: 0.1272 loss_mask: 0.1902 loss: 0.4153 2022/08/26 18:02:19 - mmengine - INFO - Epoch(train) [127][110/125] lr: 8.0000e-03 eta: 0:28:40 time: 0.4854 data_time: 0.2132 memory: 6509 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0096 loss_cls: 0.0774 acc: 96.8018 loss_bbox: 0.1227 loss_mask: 0.1854 loss: 0.4023 2022/08/26 18:02:21 - mmengine - INFO - Epoch(train) [127][115/125] lr: 8.0000e-03 eta: 0:28:40 time: 0.4218 data_time: 0.1382 memory: 6725 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0127 loss_cls: 0.0858 acc: 96.8262 loss_bbox: 0.1197 loss_mask: 0.2008 loss: 0.4268 2022/08/26 18:02:23 - mmengine - INFO - Epoch(train) [127][120/125] lr: 8.0000e-03 eta: 0:28:36 time: 0.3564 data_time: 0.0550 memory: 6320 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0134 loss_cls: 0.0905 acc: 96.0449 loss_bbox: 0.1173 loss_mask: 0.2051 loss: 0.4352 2022/08/26 18:02:25 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:02:25 - mmengine - INFO - Epoch(train) [127][125/125] lr: 8.0000e-03 eta: 0:28:36 time: 0.3884 data_time: 0.1037 memory: 6177 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0081 loss_cls: 0.0727 acc: 97.8271 loss_bbox: 0.0995 loss_mask: 0.2042 loss: 0.3911 2022/08/26 18:02:28 - mmengine - INFO - Epoch(train) [128][5/125] lr: 8.0000e-03 eta: 0:28:36 time: 0.5052 data_time: 0.2377 memory: 6094 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0073 loss_cls: 0.0632 acc: 97.7295 loss_bbox: 0.0893 loss_mask: 0.2071 loss: 0.3743 2022/08/26 18:02:30 - mmengine - INFO - Epoch(train) [128][10/125] lr: 8.0000e-03 eta: 0:28:30 time: 0.5472 data_time: 0.2717 memory: 6473 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0096 loss_cls: 0.0720 acc: 96.0693 loss_bbox: 0.1019 loss_mask: 0.1965 loss: 0.3909 2022/08/26 18:02:33 - mmengine - INFO - Epoch(train) [128][15/125] lr: 8.0000e-03 eta: 0:28:30 time: 0.4875 data_time: 0.2102 memory: 6431 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0091 loss_cls: 0.0841 acc: 96.5820 loss_bbox: 0.1198 loss_mask: 0.1964 loss: 0.4189 2022/08/26 18:02:34 - mmengine - INFO - Epoch(train) [128][20/125] lr: 8.0000e-03 eta: 0:28:25 time: 0.3962 data_time: 0.1232 memory: 6267 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0076 loss_cls: 0.0858 acc: 96.6553 loss_bbox: 0.1229 loss_mask: 0.1997 loss: 0.4235 2022/08/26 18:02:37 - mmengine - INFO - Epoch(train) [128][25/125] lr: 8.0000e-03 eta: 0:28:25 time: 0.3941 data_time: 0.1234 memory: 6515 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0090 loss_cls: 0.0835 acc: 97.7783 loss_bbox: 0.1178 loss_mask: 0.1989 loss: 0.4157 2022/08/26 18:02:39 - mmengine - INFO - Epoch(train) [128][30/125] lr: 8.0000e-03 eta: 0:28:21 time: 0.4711 data_time: 0.1963 memory: 6646 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0112 loss_cls: 0.0872 acc: 97.0459 loss_bbox: 0.1245 loss_mask: 0.1918 loss: 0.4225 2022/08/26 18:02:42 - mmengine - INFO - Epoch(train) [128][35/125] lr: 8.0000e-03 eta: 0:28:21 time: 0.5904 data_time: 0.2579 memory: 6904 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0115 loss_cls: 0.0839 acc: 96.5332 loss_bbox: 0.1312 loss_mask: 0.1898 loss: 0.4245 2022/08/26 18:02:44 - mmengine - INFO - Epoch(train) [128][40/125] lr: 8.0000e-03 eta: 0:28:17 time: 0.5268 data_time: 0.1923 memory: 6855 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0118 loss_cls: 0.0800 acc: 97.3633 loss_bbox: 0.1284 loss_mask: 0.1886 loss: 0.4145 2022/08/26 18:02:46 - mmengine - INFO - Epoch(train) [128][45/125] lr: 8.0000e-03 eta: 0:28:17 time: 0.3668 data_time: 0.0918 memory: 6450 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0096 loss_cls: 0.0746 acc: 97.5586 loss_bbox: 0.1170 loss_mask: 0.1938 loss: 0.4010 2022/08/26 18:02:48 - mmengine - INFO - Epoch(train) [128][50/125] lr: 8.0000e-03 eta: 0:28:13 time: 0.3760 data_time: 0.1096 memory: 5995 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0077 loss_cls: 0.0703 acc: 97.7295 loss_bbox: 0.1050 loss_mask: 0.2071 loss: 0.3992 2022/08/26 18:02:51 - mmengine - INFO - Epoch(train) [128][55/125] lr: 8.0000e-03 eta: 0:28:13 time: 0.4450 data_time: 0.1672 memory: 6927 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0117 loss_cls: 0.0823 acc: 98.1201 loss_bbox: 0.1201 loss_mask: 0.2011 loss: 0.4256 2022/08/26 18:02:53 - mmengine - INFO - Epoch(train) [128][60/125] lr: 8.0000e-03 eta: 0:28:09 time: 0.5031 data_time: 0.2234 memory: 6317 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0129 loss_cls: 0.0779 acc: 96.0205 loss_bbox: 0.1163 loss_mask: 0.1906 loss: 0.4052 2022/08/26 18:02:55 - mmengine - INFO - Epoch(train) [128][65/125] lr: 8.0000e-03 eta: 0:28:09 time: 0.4370 data_time: 0.1696 memory: 6173 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0095 loss_cls: 0.0727 acc: 95.2881 loss_bbox: 0.1008 loss_mask: 0.1856 loss: 0.3757 2022/08/26 18:02:57 - mmengine - INFO - Epoch(train) [128][70/125] lr: 8.0000e-03 eta: 0:28:05 time: 0.3746 data_time: 0.1050 memory: 6554 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0083 loss_cls: 0.0820 acc: 97.0215 loss_bbox: 0.1163 loss_mask: 0.1893 loss: 0.4041 2022/08/26 18:02:59 - mmengine - INFO - Epoch(train) [128][75/125] lr: 8.0000e-03 eta: 0:28:05 time: 0.3921 data_time: 0.1237 memory: 6613 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0092 loss_cls: 0.0707 acc: 98.4131 loss_bbox: 0.1098 loss_mask: 0.1889 loss: 0.3878 2022/08/26 18:03:02 - mmengine - INFO - Epoch(train) [128][80/125] lr: 8.0000e-03 eta: 0:28:01 time: 0.4876 data_time: 0.1463 memory: 6557 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0114 loss_cls: 0.0683 acc: 96.6064 loss_bbox: 0.1093 loss_mask: 0.1918 loss: 0.3882 2022/08/26 18:03:03 - mmengine - INFO - Epoch(train) [128][85/125] lr: 8.0000e-03 eta: 0:28:01 time: 0.4512 data_time: 0.1052 memory: 7028 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0134 loss_cls: 0.0838 acc: 95.8984 loss_bbox: 0.1250 loss_mask: 0.2053 loss: 0.4324 2022/08/26 18:03:05 - mmengine - INFO - Epoch(train) [128][90/125] lr: 8.0000e-03 eta: 0:27:57 time: 0.3703 data_time: 0.0940 memory: 6659 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0160 loss_cls: 0.0952 acc: 97.6318 loss_bbox: 0.1358 loss_mask: 0.2091 loss: 0.4645 2022/08/26 18:03:07 - mmengine - INFO - Epoch(train) [128][95/125] lr: 8.0000e-03 eta: 0:27:57 time: 0.3575 data_time: 0.0825 memory: 6232 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0152 loss_cls: 0.0864 acc: 95.9717 loss_bbox: 0.1219 loss_mask: 0.1945 loss: 0.4281 2022/08/26 18:03:09 - mmengine - INFO - Epoch(train) [128][100/125] lr: 8.0000e-03 eta: 0:27:52 time: 0.3793 data_time: 0.0983 memory: 6610 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0114 loss_cls: 0.0781 acc: 96.9727 loss_bbox: 0.1156 loss_mask: 0.1932 loss: 0.4065 2022/08/26 18:03:11 - mmengine - INFO - Epoch(train) [128][105/125] lr: 8.0000e-03 eta: 0:27:52 time: 0.3832 data_time: 0.1024 memory: 6232 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0096 loss_cls: 0.0792 acc: 97.4121 loss_bbox: 0.1219 loss_mask: 0.2042 loss: 0.4219 2022/08/26 18:03:13 - mmengine - INFO - Epoch(train) [128][110/125] lr: 8.0000e-03 eta: 0:27:48 time: 0.3667 data_time: 0.0770 memory: 6173 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0082 loss_cls: 0.0668 acc: 97.4854 loss_bbox: 0.1020 loss_mask: 0.1941 loss: 0.3771 2022/08/26 18:03:14 - mmengine - INFO - Epoch(train) [128][115/125] lr: 8.0000e-03 eta: 0:27:48 time: 0.3568 data_time: 0.0688 memory: 6422 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0092 loss_cls: 0.0684 acc: 97.5586 loss_bbox: 0.0999 loss_mask: 0.1977 loss: 0.3819 2022/08/26 18:03:16 - mmengine - INFO - Epoch(train) [128][120/125] lr: 8.0000e-03 eta: 0:27:44 time: 0.3637 data_time: 0.0950 memory: 6324 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0087 loss_cls: 0.0723 acc: 96.9238 loss_bbox: 0.1039 loss_mask: 0.2038 loss: 0.3951 2022/08/26 18:03:18 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:03:18 - mmengine - INFO - Epoch(train) [128][125/125] lr: 8.0000e-03 eta: 0:27:44 time: 0.3602 data_time: 0.0882 memory: 6437 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0085 loss_cls: 0.0773 acc: 97.2412 loss_bbox: 0.1193 loss_mask: 0.2000 loss: 0.4142 2022/08/26 18:03:21 - mmengine - INFO - Epoch(train) [129][5/125] lr: 8.0000e-04 eta: 0:27:44 time: 0.4291 data_time: 0.1542 memory: 6252 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0098 loss_cls: 0.0742 acc: 97.0703 loss_bbox: 0.1142 loss_mask: 0.1960 loss: 0.4044 2022/08/26 18:03:24 - mmengine - INFO - Epoch(train) [129][10/125] lr: 8.0000e-04 eta: 0:27:37 time: 0.5142 data_time: 0.2390 memory: 6649 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0099 loss_cls: 0.0693 acc: 98.3398 loss_bbox: 0.1041 loss_mask: 0.1897 loss: 0.3794 2022/08/26 18:03:25 - mmengine - INFO - Epoch(train) [129][15/125] lr: 8.0000e-04 eta: 0:27:37 time: 0.4223 data_time: 0.1452 memory: 6444 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0093 loss_cls: 0.0775 acc: 97.4365 loss_bbox: 0.1182 loss_mask: 0.1988 loss: 0.4088 2022/08/26 18:03:27 - mmengine - INFO - Epoch(train) [129][20/125] lr: 8.0000e-04 eta: 0:27:33 time: 0.3681 data_time: 0.0857 memory: 6610 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0119 loss_cls: 0.0838 acc: 96.8750 loss_bbox: 0.1274 loss_mask: 0.2049 loss: 0.4343 2022/08/26 18:03:32 - mmengine - INFO - Epoch(train) [129][25/125] lr: 8.0000e-04 eta: 0:27:33 time: 0.6610 data_time: 0.3206 memory: 6287 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0153 loss_cls: 0.0899 acc: 97.4854 loss_bbox: 0.1305 loss_mask: 0.1953 loss: 0.4392 2022/08/26 18:03:34 - mmengine - INFO - Epoch(train) [129][30/125] lr: 8.0000e-04 eta: 0:27:30 time: 0.6667 data_time: 0.3262 memory: 6259 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0118 loss_cls: 0.0781 acc: 96.0449 loss_bbox: 0.1117 loss_mask: 0.1911 loss: 0.4007 2022/08/26 18:03:36 - mmengine - INFO - Epoch(train) [129][35/125] lr: 8.0000e-04 eta: 0:27:30 time: 0.3720 data_time: 0.0877 memory: 6708 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0102 loss_cls: 0.0742 acc: 96.2158 loss_bbox: 0.1166 loss_mask: 0.2102 loss: 0.4186 2022/08/26 18:03:37 - mmengine - INFO - Epoch(train) [129][40/125] lr: 8.0000e-04 eta: 0:27:25 time: 0.3425 data_time: 0.0628 memory: 6483 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0111 loss_cls: 0.0772 acc: 96.2402 loss_bbox: 0.1252 loss_mask: 0.2137 loss: 0.4327 2022/08/26 18:03:39 - mmengine - INFO - Epoch(train) [129][45/125] lr: 8.0000e-04 eta: 0:27:25 time: 0.3423 data_time: 0.0682 memory: 6503 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0091 loss_cls: 0.0755 acc: 96.5820 loss_bbox: 0.1121 loss_mask: 0.1994 loss: 0.4011 2022/08/26 18:03:41 - mmengine - INFO - Epoch(train) [129][50/125] lr: 8.0000e-04 eta: 0:27:21 time: 0.3614 data_time: 0.0838 memory: 6258 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0122 loss_cls: 0.0847 acc: 98.3398 loss_bbox: 0.1152 loss_mask: 0.2081 loss: 0.4293 2022/08/26 18:03:43 - mmengine - INFO - Epoch(train) [129][55/125] lr: 8.0000e-04 eta: 0:27:21 time: 0.3435 data_time: 0.0653 memory: 6340 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0119 loss_cls: 0.0824 acc: 96.7529 loss_bbox: 0.1246 loss_mask: 0.2132 loss: 0.4403 2022/08/26 18:03:45 - mmengine - INFO - Epoch(train) [129][60/125] lr: 8.0000e-04 eta: 0:27:17 time: 0.4099 data_time: 0.1152 memory: 6751 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0089 loss_cls: 0.0688 acc: 96.9238 loss_bbox: 0.1208 loss_mask: 0.1997 loss: 0.4029 2022/08/26 18:03:48 - mmengine - INFO - Epoch(train) [129][65/125] lr: 8.0000e-04 eta: 0:27:17 time: 0.5312 data_time: 0.2379 memory: 6323 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0101 loss_cls: 0.0670 acc: 98.1689 loss_bbox: 0.1146 loss_mask: 0.1859 loss: 0.3834 2022/08/26 18:03:50 - mmengine - INFO - Epoch(train) [129][70/125] lr: 8.0000e-04 eta: 0:27:13 time: 0.4837 data_time: 0.1811 memory: 6577 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0119 loss_cls: 0.0738 acc: 96.8506 loss_bbox: 0.1175 loss_mask: 0.1822 loss: 0.3921 2022/08/26 18:03:52 - mmengine - INFO - Epoch(train) [129][75/125] lr: 8.0000e-04 eta: 0:27:13 time: 0.3941 data_time: 0.0903 memory: 6476 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0127 loss_cls: 0.0854 acc: 97.0215 loss_bbox: 0.1320 loss_mask: 0.2049 loss: 0.4417 2022/08/26 18:03:54 - mmengine - INFO - Epoch(train) [129][80/125] lr: 8.0000e-04 eta: 0:27:09 time: 0.3744 data_time: 0.0988 memory: 6489 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0113 loss_cls: 0.0862 acc: 96.8750 loss_bbox: 0.1348 loss_mask: 0.2079 loss: 0.4471 2022/08/26 18:03:56 - mmengine - INFO - Epoch(train) [129][85/125] lr: 8.0000e-04 eta: 0:27:09 time: 0.3882 data_time: 0.1144 memory: 6656 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0105 loss_cls: 0.0773 acc: 96.7285 loss_bbox: 0.1167 loss_mask: 0.1850 loss: 0.3952 2022/08/26 18:03:58 - mmengine - INFO - Epoch(train) [129][90/125] lr: 8.0000e-04 eta: 0:27:04 time: 0.4014 data_time: 0.1322 memory: 6460 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0090 loss_cls: 0.0746 acc: 98.9502 loss_bbox: 0.1050 loss_mask: 0.1798 loss: 0.3733 2022/08/26 18:04:01 - mmengine - INFO - Epoch(train) [129][95/125] lr: 8.0000e-04 eta: 0:27:04 time: 0.5269 data_time: 0.1976 memory: 6734 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0118 loss_cls: 0.0920 acc: 96.8262 loss_bbox: 0.1286 loss_mask: 0.1928 loss: 0.4349 2022/08/26 18:04:02 - mmengine - INFO - Epoch(train) [129][100/125] lr: 8.0000e-04 eta: 0:27:00 time: 0.4843 data_time: 0.1519 memory: 6379 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0129 loss_cls: 0.0927 acc: 98.3398 loss_bbox: 0.1328 loss_mask: 0.2005 loss: 0.4507 2022/08/26 18:04:04 - mmengine - INFO - Epoch(train) [129][105/125] lr: 8.0000e-04 eta: 0:27:00 time: 0.3312 data_time: 0.0553 memory: 6529 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0090 loss_cls: 0.0772 acc: 97.5342 loss_bbox: 0.1164 loss_mask: 0.1893 loss: 0.4001 2022/08/26 18:04:06 - mmengine - INFO - Epoch(train) [129][110/125] lr: 8.0000e-04 eta: 0:26:56 time: 0.3757 data_time: 0.0990 memory: 6581 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0109 loss_cls: 0.0895 acc: 95.8496 loss_bbox: 0.1320 loss_mask: 0.1927 loss: 0.4327 2022/08/26 18:04:08 - mmengine - INFO - Epoch(train) [129][115/125] lr: 8.0000e-04 eta: 0:26:56 time: 0.3819 data_time: 0.1064 memory: 6258 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0133 loss_cls: 0.0861 acc: 97.1436 loss_bbox: 0.1231 loss_mask: 0.1939 loss: 0.4231 2022/08/26 18:04:10 - mmengine - INFO - Epoch(train) [129][120/125] lr: 8.0000e-04 eta: 0:26:52 time: 0.3530 data_time: 0.0734 memory: 6547 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0123 loss_cls: 0.0759 acc: 97.1680 loss_bbox: 0.1200 loss_mask: 0.1840 loss: 0.3984 2022/08/26 18:04:11 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:04:11 - mmengine - INFO - Epoch(train) [129][125/125] lr: 8.0000e-04 eta: 0:26:52 time: 0.3360 data_time: 0.0501 memory: 6567 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0117 loss_cls: 0.0837 acc: 95.2148 loss_bbox: 0.1375 loss_mask: 0.1898 loss: 0.4299 2022/08/26 18:04:16 - mmengine - INFO - Epoch(train) [130][5/125] lr: 8.0000e-04 eta: 0:26:52 time: 0.5775 data_time: 0.1994 memory: 6702 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0112 loss_cls: 0.0863 acc: 96.4844 loss_bbox: 0.1398 loss_mask: 0.2044 loss: 0.4493 2022/08/26 18:04:18 - mmengine - INFO - Epoch(train) [130][10/125] lr: 8.0000e-04 eta: 0:26:46 time: 0.6180 data_time: 0.2488 memory: 6545 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0104 loss_cls: 0.0786 acc: 97.1191 loss_bbox: 0.1257 loss_mask: 0.1962 loss: 0.4173 2022/08/26 18:04:19 - mmengine - INFO - Epoch(train) [130][15/125] lr: 8.0000e-04 eta: 0:26:46 time: 0.3671 data_time: 0.0991 memory: 6477 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0092 loss_cls: 0.0737 acc: 97.0215 loss_bbox: 0.1131 loss_mask: 0.1923 loss: 0.3938 2022/08/26 18:04:21 - mmengine - INFO - Epoch(train) [130][20/125] lr: 8.0000e-04 eta: 0:26:41 time: 0.3274 data_time: 0.0574 memory: 6339 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0104 loss_cls: 0.0707 acc: 98.0225 loss_bbox: 0.1172 loss_mask: 0.2028 loss: 0.4088 2022/08/26 18:04:23 - mmengine - INFO - Epoch(train) [130][25/125] lr: 8.0000e-04 eta: 0:26:41 time: 0.3785 data_time: 0.1066 memory: 6392 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0105 loss_cls: 0.0714 acc: 97.5342 loss_bbox: 0.1166 loss_mask: 0.2020 loss: 0.4088 2022/08/26 18:04:25 - mmengine - INFO - Epoch(train) [130][30/125] lr: 8.0000e-04 eta: 0:26:37 time: 0.3755 data_time: 0.1044 memory: 6242 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0075 loss_cls: 0.0711 acc: 98.3154 loss_bbox: 0.1123 loss_mask: 0.1976 loss: 0.3945 2022/08/26 18:04:27 - mmengine - INFO - Epoch(train) [130][35/125] lr: 8.0000e-04 eta: 0:26:37 time: 0.4424 data_time: 0.1640 memory: 6617 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0111 loss_cls: 0.0837 acc: 94.3848 loss_bbox: 0.1291 loss_mask: 0.2047 loss: 0.4350 2022/08/26 18:04:30 - mmengine - INFO - Epoch(train) [130][40/125] lr: 8.0000e-04 eta: 0:26:33 time: 0.5314 data_time: 0.2116 memory: 6173 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0132 loss_cls: 0.0821 acc: 98.2910 loss_bbox: 0.1190 loss_mask: 0.1933 loss: 0.4142 2022/08/26 18:04:32 - mmengine - INFO - Epoch(train) [130][45/125] lr: 8.0000e-04 eta: 0:26:33 time: 0.4293 data_time: 0.1113 memory: 6604 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0111 loss_cls: 0.0737 acc: 96.8994 loss_bbox: 0.1081 loss_mask: 0.1814 loss: 0.3808 2022/08/26 18:04:33 - mmengine - INFO - Epoch(train) [130][50/125] lr: 8.0000e-04 eta: 0:26:29 time: 0.3443 data_time: 0.0697 memory: 6588 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0098 loss_cls: 0.0823 acc: 96.4355 loss_bbox: 0.1224 loss_mask: 0.1910 loss: 0.4122 2022/08/26 18:04:35 - mmengine - INFO - Epoch(train) [130][55/125] lr: 8.0000e-04 eta: 0:26:29 time: 0.3624 data_time: 0.0916 memory: 6607 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0090 loss_cls: 0.0807 acc: 97.2900 loss_bbox: 0.1279 loss_mask: 0.1892 loss: 0.4143 2022/08/26 18:04:37 - mmengine - INFO - Epoch(train) [130][60/125] lr: 8.0000e-04 eta: 0:26:25 time: 0.3790 data_time: 0.0994 memory: 6649 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0128 loss_cls: 0.0898 acc: 96.0938 loss_bbox: 0.1414 loss_mask: 0.1885 loss: 0.4414 2022/08/26 18:04:39 - mmengine - INFO - Epoch(train) [130][65/125] lr: 8.0000e-04 eta: 0:26:25 time: 0.3408 data_time: 0.0663 memory: 6189 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0110 loss_cls: 0.0806 acc: 97.4121 loss_bbox: 0.1241 loss_mask: 0.1889 loss: 0.4106 2022/08/26 18:04:41 - mmengine - INFO - Epoch(train) [130][70/125] lr: 8.0000e-04 eta: 0:26:20 time: 0.4203 data_time: 0.0986 memory: 6735 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0089 loss_cls: 0.0716 acc: 97.8760 loss_bbox: 0.1101 loss_mask: 0.1919 loss: 0.3889 2022/08/26 18:04:43 - mmengine - INFO - Epoch(train) [130][75/125] lr: 8.0000e-04 eta: 0:26:20 time: 0.4525 data_time: 0.1205 memory: 6617 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0110 loss_cls: 0.0836 acc: 97.8516 loss_bbox: 0.1234 loss_mask: 0.2049 loss: 0.4306 2022/08/26 18:04:45 - mmengine - INFO - Epoch(train) [130][80/125] lr: 8.0000e-04 eta: 0:26:16 time: 0.3570 data_time: 0.0798 memory: 6405 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0103 loss_cls: 0.0823 acc: 98.6572 loss_bbox: 0.1170 loss_mask: 0.2090 loss: 0.4261 2022/08/26 18:04:47 - mmengine - INFO - Epoch(train) [130][85/125] lr: 8.0000e-04 eta: 0:26:16 time: 0.3404 data_time: 0.0713 memory: 6545 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0089 loss_cls: 0.0783 acc: 98.2422 loss_bbox: 0.1125 loss_mask: 0.2102 loss: 0.4185 2022/08/26 18:04:49 - mmengine - INFO - Epoch(train) [130][90/125] lr: 8.0000e-04 eta: 0:26:12 time: 0.3618 data_time: 0.0892 memory: 6754 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0087 loss_cls: 0.0846 acc: 95.6299 loss_bbox: 0.1327 loss_mask: 0.2039 loss: 0.4376 2022/08/26 18:04:51 - mmengine - INFO - Epoch(train) [130][95/125] lr: 8.0000e-04 eta: 0:26:12 time: 0.3844 data_time: 0.0739 memory: 6558 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0087 loss_cls: 0.0793 acc: 97.0947 loss_bbox: 0.1258 loss_mask: 0.1869 loss: 0.4062 2022/08/26 18:04:53 - mmengine - INFO - Epoch(train) [130][100/125] lr: 8.0000e-04 eta: 0:26:08 time: 0.4294 data_time: 0.0910 memory: 7939 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0083 loss_cls: 0.0818 acc: 93.7744 loss_bbox: 0.1255 loss_mask: 0.1911 loss: 0.4123 2022/08/26 18:04:55 - mmengine - INFO - Epoch(train) [130][105/125] lr: 8.0000e-04 eta: 0:26:08 time: 0.4082 data_time: 0.1066 memory: 6437 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0093 loss_cls: 0.0814 acc: 97.5098 loss_bbox: 0.1299 loss_mask: 0.1955 loss: 0.4220 2022/08/26 18:04:57 - mmengine - INFO - Epoch(train) [130][110/125] lr: 8.0000e-04 eta: 0:26:03 time: 0.3817 data_time: 0.1098 memory: 6409 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0105 loss_cls: 0.0768 acc: 97.5098 loss_bbox: 0.1169 loss_mask: 0.1884 loss: 0.3982 2022/08/26 18:04:58 - mmengine - INFO - Epoch(train) [130][115/125] lr: 8.0000e-04 eta: 0:26:03 time: 0.3688 data_time: 0.0987 memory: 6373 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0092 loss_cls: 0.0790 acc: 97.4121 loss_bbox: 0.1158 loss_mask: 0.2017 loss: 0.4124 2022/08/26 18:05:00 - mmengine - INFO - Epoch(train) [130][120/125] lr: 8.0000e-04 eta: 0:25:59 time: 0.3353 data_time: 0.0589 memory: 6754 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0086 loss_cls: 0.0722 acc: 97.9736 loss_bbox: 0.1179 loss_mask: 0.2036 loss: 0.4080 2022/08/26 18:05:02 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:05:02 - mmengine - INFO - Epoch(train) [130][125/125] lr: 8.0000e-04 eta: 0:25:59 time: 0.3412 data_time: 0.0642 memory: 6235 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0098 loss_cls: 0.0666 acc: 98.1689 loss_bbox: 0.1128 loss_mask: 0.1926 loss: 0.3859 2022/08/26 18:05:05 - mmengine - INFO - Epoch(train) [131][5/125] lr: 8.0000e-04 eta: 0:25:59 time: 0.4419 data_time: 0.1715 memory: 6151 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0093 loss_cls: 0.0638 acc: 98.1201 loss_bbox: 0.1040 loss_mask: 0.1969 loss: 0.3783 2022/08/26 18:05:08 - mmengine - INFO - Epoch(train) [131][10/125] lr: 8.0000e-04 eta: 0:25:53 time: 0.5280 data_time: 0.2527 memory: 6409 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0103 loss_cls: 0.0743 acc: 95.6299 loss_bbox: 0.1226 loss_mask: 0.2029 loss: 0.4158 2022/08/26 18:05:11 - mmengine - INFO - Epoch(train) [131][15/125] lr: 8.0000e-04 eta: 0:25:53 time: 0.5587 data_time: 0.2212 memory: 6486 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0101 loss_cls: 0.0792 acc: 97.1680 loss_bbox: 0.1341 loss_mask: 0.2048 loss: 0.4344 2022/08/26 18:05:12 - mmengine - INFO - Epoch(train) [131][20/125] lr: 8.0000e-04 eta: 0:25:49 time: 0.4762 data_time: 0.1357 memory: 6294 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0084 loss_cls: 0.0731 acc: 98.5840 loss_bbox: 0.1221 loss_mask: 0.2004 loss: 0.4099 2022/08/26 18:05:15 - mmengine - INFO - Epoch(train) [131][25/125] lr: 8.0000e-04 eta: 0:25:49 time: 0.4039 data_time: 0.0922 memory: 8304 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0100 loss_cls: 0.0820 acc: 97.2900 loss_bbox: 0.1295 loss_mask: 0.2010 loss: 0.4294 2022/08/26 18:05:16 - mmengine - INFO - Epoch(train) [131][30/125] lr: 8.0000e-04 eta: 0:25:44 time: 0.4031 data_time: 0.0954 memory: 6369 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0107 loss_cls: 0.0866 acc: 96.1670 loss_bbox: 0.1312 loss_mask: 0.2007 loss: 0.4366 2022/08/26 18:05:18 - mmengine - INFO - Epoch(train) [131][35/125] lr: 8.0000e-04 eta: 0:25:44 time: 0.3556 data_time: 0.0730 memory: 6476 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0129 loss_cls: 0.0792 acc: 97.6807 loss_bbox: 0.1138 loss_mask: 0.1913 loss: 0.4043 2022/08/26 18:05:20 - mmengine - INFO - Epoch(train) [131][40/125] lr: 8.0000e-04 eta: 0:25:40 time: 0.4025 data_time: 0.1170 memory: 6065 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0113 loss_cls: 0.0743 acc: 97.3145 loss_bbox: 0.0981 loss_mask: 0.1873 loss: 0.3805 2022/08/26 18:05:22 - mmengine - INFO - Epoch(train) [131][45/125] lr: 8.0000e-04 eta: 0:25:40 time: 0.3815 data_time: 0.0971 memory: 6871 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0087 loss_cls: 0.0818 acc: 96.5820 loss_bbox: 0.1121 loss_mask: 0.1927 loss: 0.4045 2022/08/26 18:05:24 - mmengine - INFO - Epoch(train) [131][50/125] lr: 8.0000e-04 eta: 0:25:36 time: 0.3676 data_time: 0.0850 memory: 6630 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0121 loss_cls: 0.0898 acc: 96.5332 loss_bbox: 0.1368 loss_mask: 0.1946 loss: 0.4409 2022/08/26 18:05:26 - mmengine - INFO - Epoch(train) [131][55/125] lr: 8.0000e-04 eta: 0:25:36 time: 0.3991 data_time: 0.1258 memory: 6304 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0123 loss_cls: 0.0796 acc: 97.1191 loss_bbox: 0.1194 loss_mask: 0.1946 loss: 0.4149 2022/08/26 18:05:28 - mmengine - INFO - Epoch(train) [131][60/125] lr: 8.0000e-04 eta: 0:25:32 time: 0.3888 data_time: 0.1062 memory: 6712 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0124 loss_cls: 0.0799 acc: 96.3379 loss_bbox: 0.1205 loss_mask: 0.1962 loss: 0.4158 2022/08/26 18:05:30 - mmengine - INFO - Epoch(train) [131][65/125] lr: 8.0000e-04 eta: 0:25:32 time: 0.3646 data_time: 0.0820 memory: 6216 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0108 loss_cls: 0.0771 acc: 97.5342 loss_bbox: 0.1186 loss_mask: 0.1991 loss: 0.4106 2022/08/26 18:05:32 - mmengine - INFO - Epoch(train) [131][70/125] lr: 8.0000e-04 eta: 0:25:28 time: 0.3662 data_time: 0.0981 memory: 6232 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0085 loss_cls: 0.0672 acc: 96.7041 loss_bbox: 0.0979 loss_mask: 0.2083 loss: 0.3878 2022/08/26 18:05:34 - mmengine - INFO - Epoch(train) [131][75/125] lr: 8.0000e-04 eta: 0:25:28 time: 0.3905 data_time: 0.1005 memory: 6360 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0077 loss_cls: 0.0691 acc: 96.7041 loss_bbox: 0.0988 loss_mask: 0.1974 loss: 0.3812 2022/08/26 18:05:35 - mmengine - INFO - Epoch(train) [131][80/125] lr: 8.0000e-04 eta: 0:25:23 time: 0.3621 data_time: 0.0688 memory: 6672 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0104 loss_cls: 0.0768 acc: 95.2881 loss_bbox: 0.1096 loss_mask: 0.1904 loss: 0.3965 2022/08/26 18:05:37 - mmengine - INFO - Epoch(train) [131][85/125] lr: 8.0000e-04 eta: 0:25:23 time: 0.3741 data_time: 0.0987 memory: 6506 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0114 loss_cls: 0.0856 acc: 96.9238 loss_bbox: 0.1228 loss_mask: 0.1931 loss: 0.4202 2022/08/26 18:05:39 - mmengine - INFO - Epoch(train) [131][90/125] lr: 8.0000e-04 eta: 0:25:19 time: 0.3864 data_time: 0.1119 memory: 6783 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0103 loss_cls: 0.0973 acc: 95.6543 loss_bbox: 0.1327 loss_mask: 0.1956 loss: 0.4428 2022/08/26 18:05:42 - mmengine - INFO - Epoch(train) [131][95/125] lr: 8.0000e-04 eta: 0:25:19 time: 0.4405 data_time: 0.0738 memory: 6917 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0103 loss_cls: 0.0896 acc: 94.4824 loss_bbox: 0.1250 loss_mask: 0.1970 loss: 0.4286 2022/08/26 18:05:43 - mmengine - INFO - Epoch(train) [131][100/125] lr: 8.0000e-04 eta: 0:25:15 time: 0.4292 data_time: 0.0606 memory: 6770 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0096 loss_cls: 0.0826 acc: 97.1924 loss_bbox: 0.1211 loss_mask: 0.1880 loss: 0.4094 2022/08/26 18:05:45 - mmengine - INFO - Epoch(train) [131][105/125] lr: 8.0000e-04 eta: 0:25:15 time: 0.3425 data_time: 0.0634 memory: 6365 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0096 loss_cls: 0.0860 acc: 97.3389 loss_bbox: 0.1333 loss_mask: 0.1907 loss: 0.4288 2022/08/26 18:05:47 - mmengine - INFO - Epoch(train) [131][110/125] lr: 8.0000e-04 eta: 0:25:11 time: 0.3589 data_time: 0.0763 memory: 6790 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0099 loss_cls: 0.0853 acc: 97.9736 loss_bbox: 0.1382 loss_mask: 0.1982 loss: 0.4415 2022/08/26 18:05:49 - mmengine - INFO - Epoch(train) [131][115/125] lr: 8.0000e-04 eta: 0:25:11 time: 0.4233 data_time: 0.1416 memory: 6645 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0118 loss_cls: 0.0863 acc: 97.7051 loss_bbox: 0.1327 loss_mask: 0.1970 loss: 0.4377 2022/08/26 18:05:52 - mmengine - INFO - Epoch(train) [131][120/125] lr: 8.0000e-04 eta: 0:25:07 time: 0.4678 data_time: 0.1565 memory: 6702 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0113 loss_cls: 0.0797 acc: 95.9473 loss_bbox: 0.1246 loss_mask: 0.2002 loss: 0.4227 2022/08/26 18:05:53 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:05:53 - mmengine - INFO - Epoch(train) [131][125/125] lr: 8.0000e-04 eta: 0:25:07 time: 0.4056 data_time: 0.0952 memory: 6594 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0103 loss_cls: 0.0806 acc: 96.2891 loss_bbox: 0.1272 loss_mask: 0.1930 loss: 0.4177 2022/08/26 18:05:58 - mmengine - INFO - Epoch(train) [132][5/125] lr: 8.0000e-04 eta: 0:25:07 time: 0.5821 data_time: 0.2484 memory: 6013 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0089 loss_cls: 0.0738 acc: 96.7773 loss_bbox: 0.1065 loss_mask: 0.1888 loss: 0.3840 2022/08/26 18:06:00 - mmengine - INFO - Epoch(train) [132][10/125] lr: 8.0000e-04 eta: 0:25:00 time: 0.6168 data_time: 0.2864 memory: 6685 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0086 loss_cls: 0.0761 acc: 96.4844 loss_bbox: 0.1071 loss_mask: 0.1991 loss: 0.3967 2022/08/26 18:06:02 - mmengine - INFO - Epoch(train) [132][15/125] lr: 8.0000e-04 eta: 0:25:00 time: 0.3898 data_time: 0.1192 memory: 6190 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0082 loss_cls: 0.0776 acc: 97.3145 loss_bbox: 0.1106 loss_mask: 0.1969 loss: 0.3995 2022/08/26 18:06:03 - mmengine - INFO - Epoch(train) [132][20/125] lr: 8.0000e-04 eta: 0:24:56 time: 0.3675 data_time: 0.0927 memory: 6691 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0090 loss_cls: 0.0807 acc: 97.4121 loss_bbox: 0.1195 loss_mask: 0.1963 loss: 0.4117 2022/08/26 18:06:06 - mmengine - INFO - Epoch(train) [132][25/125] lr: 8.0000e-04 eta: 0:24:56 time: 0.4741 data_time: 0.2013 memory: 6399 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0090 loss_cls: 0.0893 acc: 96.3623 loss_bbox: 0.1297 loss_mask: 0.1884 loss: 0.4224 2022/08/26 18:06:08 - mmengine - INFO - Epoch(train) [132][30/125] lr: 8.0000e-04 eta: 0:24:52 time: 0.4488 data_time: 0.1755 memory: 6702 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0086 loss_cls: 0.0858 acc: 96.1426 loss_bbox: 0.1268 loss_mask: 0.1827 loss: 0.4100 2022/08/26 18:06:10 - mmengine - INFO - Epoch(train) [132][35/125] lr: 8.0000e-04 eta: 0:24:52 time: 0.4030 data_time: 0.0956 memory: 6861 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0118 loss_cls: 0.0879 acc: 95.8008 loss_bbox: 0.1373 loss_mask: 0.1836 loss: 0.4275 2022/08/26 18:06:12 - mmengine - INFO - Epoch(train) [132][40/125] lr: 8.0000e-04 eta: 0:24:48 time: 0.4161 data_time: 0.1112 memory: 6386 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0122 loss_cls: 0.0823 acc: 97.1191 loss_bbox: 0.1246 loss_mask: 0.1920 loss: 0.4170 2022/08/26 18:06:14 - mmengine - INFO - Epoch(train) [132][45/125] lr: 8.0000e-04 eta: 0:24:48 time: 0.3566 data_time: 0.0842 memory: 6712 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0112 loss_cls: 0.0722 acc: 97.5342 loss_bbox: 0.1150 loss_mask: 0.1831 loss: 0.3866 2022/08/26 18:06:16 - mmengine - INFO - Epoch(train) [132][50/125] lr: 8.0000e-04 eta: 0:24:44 time: 0.3552 data_time: 0.0806 memory: 6307 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0118 loss_cls: 0.0734 acc: 97.3633 loss_bbox: 0.1157 loss_mask: 0.1838 loss: 0.3915 2022/08/26 18:06:17 - mmengine - INFO - Epoch(train) [132][55/125] lr: 8.0000e-04 eta: 0:24:44 time: 0.3526 data_time: 0.0791 memory: 6409 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0103 loss_cls: 0.0756 acc: 96.1182 loss_bbox: 0.1139 loss_mask: 0.1866 loss: 0.3926 2022/08/26 18:06:19 - mmengine - INFO - Epoch(train) [132][60/125] lr: 8.0000e-04 eta: 0:24:39 time: 0.3553 data_time: 0.0733 memory: 6662 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0130 loss_cls: 0.0720 acc: 96.8994 loss_bbox: 0.1185 loss_mask: 0.1811 loss: 0.3895 2022/08/26 18:06:21 - mmengine - INFO - Epoch(train) [132][65/125] lr: 8.0000e-04 eta: 0:24:39 time: 0.3668 data_time: 0.0843 memory: 6343 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0131 loss_cls: 0.0721 acc: 98.0957 loss_bbox: 0.1191 loss_mask: 0.1963 loss: 0.4060 2022/08/26 18:06:23 - mmengine - INFO - Epoch(train) [132][70/125] lr: 8.0000e-04 eta: 0:24:35 time: 0.3647 data_time: 0.0870 memory: 6659 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0086 loss_cls: 0.0681 acc: 97.7295 loss_bbox: 0.1082 loss_mask: 0.2025 loss: 0.3934 2022/08/26 18:06:25 - mmengine - INFO - Epoch(train) [132][75/125] lr: 8.0000e-04 eta: 0:24:35 time: 0.3591 data_time: 0.0694 memory: 6412 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0101 loss_cls: 0.0732 acc: 97.3389 loss_bbox: 0.1118 loss_mask: 0.2048 loss: 0.4070 2022/08/26 18:06:26 - mmengine - INFO - Epoch(train) [132][80/125] lr: 8.0000e-04 eta: 0:24:31 time: 0.3464 data_time: 0.0651 memory: 6113 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0094 loss_cls: 0.0794 acc: 98.2666 loss_bbox: 0.1129 loss_mask: 0.2118 loss: 0.4195 2022/08/26 18:06:28 - mmengine - INFO - Epoch(train) [132][85/125] lr: 8.0000e-04 eta: 0:24:31 time: 0.3581 data_time: 0.0880 memory: 6222 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0092 loss_cls: 0.0769 acc: 96.5332 loss_bbox: 0.1103 loss_mask: 0.2080 loss: 0.4105 2022/08/26 18:06:31 - mmengine - INFO - Epoch(train) [132][90/125] lr: 8.0000e-04 eta: 0:24:27 time: 0.4260 data_time: 0.1285 memory: 6379 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0108 loss_cls: 0.0847 acc: 97.5342 loss_bbox: 0.1274 loss_mask: 0.2089 loss: 0.4391 2022/08/26 18:06:33 - mmengine - INFO - Epoch(train) [132][95/125] lr: 8.0000e-04 eta: 0:24:27 time: 0.4468 data_time: 0.1504 memory: 6313 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0111 loss_cls: 0.0859 acc: 96.9238 loss_bbox: 0.1324 loss_mask: 0.2168 loss: 0.4534 2022/08/26 18:06:35 - mmengine - INFO - Epoch(train) [132][100/125] lr: 8.0000e-04 eta: 0:24:23 time: 0.4778 data_time: 0.1301 memory: 6663 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0150 loss_cls: 0.0813 acc: 97.5830 loss_bbox: 0.1249 loss_mask: 0.2067 loss: 0.4359 2022/08/26 18:06:37 - mmengine - INFO - Epoch(train) [132][105/125] lr: 8.0000e-04 eta: 0:24:23 time: 0.4306 data_time: 0.0848 memory: 6418 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0139 loss_cls: 0.0736 acc: 97.9004 loss_bbox: 0.1184 loss_mask: 0.1933 loss: 0.4060 2022/08/26 18:06:39 - mmengine - INFO - Epoch(train) [132][110/125] lr: 8.0000e-04 eta: 0:24:18 time: 0.3483 data_time: 0.0797 memory: 6770 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0091 loss_cls: 0.0683 acc: 95.7275 loss_bbox: 0.1176 loss_mask: 0.1903 loss: 0.3907 2022/08/26 18:06:41 - mmengine - INFO - Epoch(train) [132][115/125] lr: 8.0000e-04 eta: 0:24:18 time: 0.3449 data_time: 0.0731 memory: 6409 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0107 loss_cls: 0.0716 acc: 98.3887 loss_bbox: 0.1159 loss_mask: 0.2133 loss: 0.4189 2022/08/26 18:06:42 - mmengine - INFO - Epoch(train) [132][120/125] lr: 8.0000e-04 eta: 0:24:14 time: 0.3528 data_time: 0.0800 memory: 6636 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0094 loss_cls: 0.0764 acc: 97.1680 loss_bbox: 0.1115 loss_mask: 0.2191 loss: 0.4230 2022/08/26 18:06:44 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:06:44 - mmengine - INFO - Epoch(train) [132][125/125] lr: 8.0000e-04 eta: 0:24:14 time: 0.3726 data_time: 0.0995 memory: 6656 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0075 loss_cls: 0.0801 acc: 98.0957 loss_bbox: 0.1206 loss_mask: 0.2101 loss: 0.4240 2022/08/26 18:06:48 - mmengine - INFO - Epoch(train) [133][5/125] lr: 8.0000e-04 eta: 0:24:14 time: 0.5101 data_time: 0.2298 memory: 6542 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0103 loss_cls: 0.0824 acc: 97.2900 loss_bbox: 0.1344 loss_mask: 0.2041 loss: 0.4382 2022/08/26 18:06:50 - mmengine - INFO - Epoch(train) [133][10/125] lr: 8.0000e-04 eta: 0:24:08 time: 0.5088 data_time: 0.2282 memory: 6551 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0103 loss_cls: 0.0861 acc: 96.3379 loss_bbox: 0.1348 loss_mask: 0.1917 loss: 0.4315 2022/08/26 18:06:52 - mmengine - INFO - Epoch(train) [133][15/125] lr: 8.0000e-04 eta: 0:24:08 time: 0.4598 data_time: 0.1629 memory: 6105 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0095 loss_cls: 0.0768 acc: 97.4609 loss_bbox: 0.1092 loss_mask: 0.1918 loss: 0.3959 2022/08/26 18:06:54 - mmengine - INFO - Epoch(train) [133][20/125] lr: 8.0000e-04 eta: 0:24:04 time: 0.4477 data_time: 0.1469 memory: 6441 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0095 loss_cls: 0.0676 acc: 97.9492 loss_bbox: 0.0951 loss_mask: 0.1892 loss: 0.3671 2022/08/26 18:06:56 - mmengine - INFO - Epoch(train) [133][25/125] lr: 8.0000e-04 eta: 0:24:04 time: 0.3723 data_time: 0.0981 memory: 6480 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0102 loss_cls: 0.0736 acc: 94.7266 loss_bbox: 0.1074 loss_mask: 0.1901 loss: 0.3881 2022/08/26 18:06:58 - mmengine - INFO - Epoch(train) [133][30/125] lr: 8.0000e-04 eta: 0:23:59 time: 0.3969 data_time: 0.1239 memory: 6466 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0136 loss_cls: 0.0820 acc: 96.7529 loss_bbox: 0.1268 loss_mask: 0.2016 loss: 0.4316 2022/08/26 18:07:00 - mmengine - INFO - Epoch(train) [133][35/125] lr: 8.0000e-04 eta: 0:23:59 time: 0.3784 data_time: 0.1093 memory: 6100 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0111 loss_cls: 0.0776 acc: 98.0469 loss_bbox: 0.1190 loss_mask: 0.2033 loss: 0.4167 2022/08/26 18:07:02 - mmengine - INFO - Epoch(train) [133][40/125] lr: 8.0000e-04 eta: 0:23:55 time: 0.4290 data_time: 0.0812 memory: 6154 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0086 loss_cls: 0.0743 acc: 95.8008 loss_bbox: 0.1058 loss_mask: 0.2073 loss: 0.4025 2022/08/26 18:07:04 - mmengine - INFO - Epoch(train) [133][45/125] lr: 8.0000e-04 eta: 0:23:55 time: 0.4079 data_time: 0.0537 memory: 6538 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0095 loss_cls: 0.0794 acc: 97.3633 loss_bbox: 0.1202 loss_mask: 0.2121 loss: 0.4279 2022/08/26 18:07:06 - mmengine - INFO - Epoch(train) [133][50/125] lr: 8.0000e-04 eta: 0:23:51 time: 0.3296 data_time: 0.0610 memory: 6367 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0083 loss_cls: 0.0735 acc: 98.7305 loss_bbox: 0.1079 loss_mask: 0.1999 loss: 0.3966 2022/08/26 18:07:08 - mmengine - INFO - Epoch(train) [133][55/125] lr: 8.0000e-04 eta: 0:23:51 time: 0.3799 data_time: 0.1082 memory: 6433 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0085 loss_cls: 0.0723 acc: 96.8506 loss_bbox: 0.1060 loss_mask: 0.1975 loss: 0.3919 2022/08/26 18:07:10 - mmengine - INFO - Epoch(train) [133][60/125] lr: 8.0000e-04 eta: 0:23:47 time: 0.4278 data_time: 0.1524 memory: 6164 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0078 loss_cls: 0.0739 acc: 96.8994 loss_bbox: 0.1114 loss_mask: 0.1884 loss: 0.3872 2022/08/26 18:07:12 - mmengine - INFO - Epoch(train) [133][65/125] lr: 8.0000e-04 eta: 0:23:47 time: 0.4117 data_time: 0.1340 memory: 6620 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0084 loss_cls: 0.0786 acc: 96.8262 loss_bbox: 0.1182 loss_mask: 0.1791 loss: 0.3886 2022/08/26 18:07:13 - mmengine - INFO - Epoch(train) [133][70/125] lr: 8.0000e-04 eta: 0:23:42 time: 0.3597 data_time: 0.0819 memory: 6164 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0099 loss_cls: 0.0789 acc: 97.6807 loss_bbox: 0.1189 loss_mask: 0.1860 loss: 0.3997 2022/08/26 18:07:16 - mmengine - INFO - Epoch(train) [133][75/125] lr: 8.0000e-04 eta: 0:23:42 time: 0.4240 data_time: 0.1520 memory: 6849 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0111 loss_cls: 0.0743 acc: 94.0186 loss_bbox: 0.1148 loss_mask: 0.1989 loss: 0.4063 2022/08/26 18:07:18 - mmengine - INFO - Epoch(train) [133][80/125] lr: 8.0000e-04 eta: 0:23:38 time: 0.4671 data_time: 0.1935 memory: 6249 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0112 loss_cls: 0.0730 acc: 97.5098 loss_bbox: 0.1187 loss_mask: 0.1979 loss: 0.4073 2022/08/26 18:07:20 - mmengine - INFO - Epoch(train) [133][85/125] lr: 8.0000e-04 eta: 0:23:38 time: 0.3639 data_time: 0.0889 memory: 6673 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0118 loss_cls: 0.0769 acc: 95.6055 loss_bbox: 0.1213 loss_mask: 0.1852 loss: 0.4028 2022/08/26 18:07:23 - mmengine - INFO - Epoch(train) [133][90/125] lr: 8.0000e-04 eta: 0:23:34 time: 0.4716 data_time: 0.0745 memory: 6859 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0134 loss_cls: 0.0828 acc: 95.0195 loss_bbox: 0.1312 loss_mask: 0.1829 loss: 0.4190 2022/08/26 18:07:25 - mmengine - INFO - Epoch(train) [133][95/125] lr: 8.0000e-04 eta: 0:23:34 time: 0.4962 data_time: 0.0957 memory: 6598 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0098 loss_cls: 0.0715 acc: 96.6553 loss_bbox: 0.1154 loss_mask: 0.1867 loss: 0.3899 2022/08/26 18:07:27 - mmengine - INFO - Epoch(train) [133][100/125] lr: 8.0000e-04 eta: 0:23:30 time: 0.3773 data_time: 0.1003 memory: 6647 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0078 loss_cls: 0.0717 acc: 98.0225 loss_bbox: 0.1157 loss_mask: 0.1993 loss: 0.4010 2022/08/26 18:07:28 - mmengine - INFO - Epoch(train) [133][105/125] lr: 8.0000e-04 eta: 0:23:30 time: 0.3705 data_time: 0.0964 memory: 6151 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0084 loss_cls: 0.0768 acc: 97.9736 loss_bbox: 0.1168 loss_mask: 0.2032 loss: 0.4139 2022/08/26 18:07:30 - mmengine - INFO - Epoch(train) [133][110/125] lr: 8.0000e-04 eta: 0:23:26 time: 0.3704 data_time: 0.0687 memory: 7623 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0084 loss_cls: 0.0701 acc: 96.5576 loss_bbox: 0.1071 loss_mask: 0.1920 loss: 0.3864 2022/08/26 18:07:32 - mmengine - INFO - Epoch(train) [133][115/125] lr: 8.0000e-04 eta: 0:23:26 time: 0.3907 data_time: 0.0876 memory: 6480 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0102 loss_cls: 0.0775 acc: 97.7539 loss_bbox: 0.1246 loss_mask: 0.2001 loss: 0.4208 2022/08/26 18:07:34 - mmengine - INFO - Epoch(train) [133][120/125] lr: 8.0000e-04 eta: 0:23:22 time: 0.3573 data_time: 0.0838 memory: 6496 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0112 loss_cls: 0.0785 acc: 98.2422 loss_bbox: 0.1250 loss_mask: 0.1976 loss: 0.4195 2022/08/26 18:07:35 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:07:35 - mmengine - INFO - Epoch(train) [133][125/125] lr: 8.0000e-04 eta: 0:23:22 time: 0.3239 data_time: 0.0464 memory: 6314 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0101 loss_cls: 0.0795 acc: 97.9004 loss_bbox: 0.1195 loss_mask: 0.1943 loss: 0.4101 2022/08/26 18:07:39 - mmengine - INFO - Epoch(train) [134][5/125] lr: 8.0000e-04 eta: 0:23:22 time: 0.4885 data_time: 0.2100 memory: 6229 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0100 loss_cls: 0.0887 acc: 97.4609 loss_bbox: 0.1280 loss_mask: 0.2062 loss: 0.4417 2022/08/26 18:07:41 - mmengine - INFO - Epoch(train) [134][10/125] lr: 8.0000e-04 eta: 0:23:15 time: 0.5446 data_time: 0.2525 memory: 6440 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0104 loss_cls: 0.0838 acc: 96.4111 loss_bbox: 0.1269 loss_mask: 0.2008 loss: 0.4297 2022/08/26 18:07:43 - mmengine - INFO - Epoch(train) [134][15/125] lr: 8.0000e-04 eta: 0:23:15 time: 0.3966 data_time: 0.1072 memory: 6440 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0080 loss_cls: 0.0718 acc: 98.7305 loss_bbox: 0.1113 loss_mask: 0.1900 loss: 0.3862 2022/08/26 18:07:44 - mmengine - INFO - Epoch(train) [134][20/125] lr: 8.0000e-04 eta: 0:23:11 time: 0.3379 data_time: 0.0680 memory: 6529 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0070 loss_cls: 0.0682 acc: 97.0459 loss_bbox: 0.1026 loss_mask: 0.1826 loss: 0.3673 2022/08/26 18:07:46 - mmengine - INFO - Epoch(train) [134][25/125] lr: 8.0000e-04 eta: 0:23:11 time: 0.3517 data_time: 0.0789 memory: 6226 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0079 loss_cls: 0.0739 acc: 97.6074 loss_bbox: 0.1109 loss_mask: 0.2006 loss: 0.4012 2022/08/26 18:07:48 - mmengine - INFO - Epoch(train) [134][30/125] lr: 8.0000e-04 eta: 0:23:07 time: 0.3795 data_time: 0.1119 memory: 6212 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0085 loss_cls: 0.0705 acc: 96.2158 loss_bbox: 0.1065 loss_mask: 0.1962 loss: 0.3883 2022/08/26 18:07:50 - mmengine - INFO - Epoch(train) [134][35/125] lr: 8.0000e-04 eta: 0:23:07 time: 0.3394 data_time: 0.0728 memory: 6359 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0091 loss_cls: 0.0747 acc: 97.7295 loss_bbox: 0.1071 loss_mask: 0.1791 loss: 0.3777 2022/08/26 18:07:52 - mmengine - INFO - Epoch(train) [134][40/125] lr: 8.0000e-04 eta: 0:23:03 time: 0.4146 data_time: 0.1049 memory: 6444 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0098 loss_cls: 0.0849 acc: 94.5312 loss_bbox: 0.1223 loss_mask: 0.1969 loss: 0.4209 2022/08/26 18:07:54 - mmengine - INFO - Epoch(train) [134][45/125] lr: 8.0000e-04 eta: 0:23:03 time: 0.4319 data_time: 0.1138 memory: 6418 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0092 loss_cls: 0.0803 acc: 96.2646 loss_bbox: 0.1222 loss_mask: 0.1947 loss: 0.4114 2022/08/26 18:07:56 - mmengine - INFO - Epoch(train) [134][50/125] lr: 8.0000e-04 eta: 0:22:58 time: 0.3862 data_time: 0.1093 memory: 6281 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0085 loss_cls: 0.0749 acc: 97.2168 loss_bbox: 0.1158 loss_mask: 0.1835 loss: 0.3875 2022/08/26 18:07:58 - mmengine - INFO - Epoch(train) [134][55/125] lr: 8.0000e-04 eta: 0:22:58 time: 0.3872 data_time: 0.1189 memory: 6489 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0100 loss_cls: 0.0729 acc: 97.8271 loss_bbox: 0.1151 loss_mask: 0.1818 loss: 0.3846 2022/08/26 18:08:00 - mmengine - INFO - Epoch(train) [134][60/125] lr: 8.0000e-04 eta: 0:22:54 time: 0.3490 data_time: 0.0784 memory: 6207 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0107 loss_cls: 0.0674 acc: 98.1445 loss_bbox: 0.1018 loss_mask: 0.1790 loss: 0.3632 2022/08/26 18:08:02 - mmengine - INFO - Epoch(train) [134][65/125] lr: 8.0000e-04 eta: 0:22:54 time: 0.3658 data_time: 0.0938 memory: 6787 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0104 loss_cls: 0.0771 acc: 95.6055 loss_bbox: 0.1083 loss_mask: 0.1901 loss: 0.3917 2022/08/26 18:08:04 - mmengine - INFO - Epoch(train) [134][70/125] lr: 8.0000e-04 eta: 0:22:50 time: 0.3944 data_time: 0.1198 memory: 6412 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0101 loss_cls: 0.0851 acc: 96.4600 loss_bbox: 0.1217 loss_mask: 0.1978 loss: 0.4216 2022/08/26 18:08:05 - mmengine - INFO - Epoch(train) [134][75/125] lr: 8.0000e-04 eta: 0:22:50 time: 0.3918 data_time: 0.0994 memory: 6295 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0093 loss_cls: 0.0729 acc: 97.7051 loss_bbox: 0.1105 loss_mask: 0.1990 loss: 0.3966 2022/08/26 18:08:07 - mmengine - INFO - Epoch(train) [134][80/125] lr: 8.0000e-04 eta: 0:22:46 time: 0.3686 data_time: 0.0764 memory: 6496 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0097 loss_cls: 0.0759 acc: 96.5820 loss_bbox: 0.1145 loss_mask: 0.2045 loss: 0.4093 2022/08/26 18:08:09 - mmengine - INFO - Epoch(train) [134][85/125] lr: 8.0000e-04 eta: 0:22:46 time: 0.3554 data_time: 0.0814 memory: 6575 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0103 loss_cls: 0.0828 acc: 96.7529 loss_bbox: 0.1287 loss_mask: 0.2019 loss: 0.4293 2022/08/26 18:08:11 - mmengine - INFO - Epoch(train) [134][90/125] lr: 8.0000e-04 eta: 0:22:42 time: 0.3990 data_time: 0.0602 memory: 6529 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0091 loss_cls: 0.0752 acc: 97.3145 loss_bbox: 0.1227 loss_mask: 0.2006 loss: 0.4131 2022/08/26 18:08:13 - mmengine - INFO - Epoch(train) [134][95/125] lr: 8.0000e-04 eta: 0:22:42 time: 0.3947 data_time: 0.0598 memory: 6223 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0086 loss_cls: 0.0708 acc: 98.0225 loss_bbox: 0.1100 loss_mask: 0.2151 loss: 0.4099 2022/08/26 18:08:15 - mmengine - INFO - Epoch(train) [134][100/125] lr: 8.0000e-04 eta: 0:22:37 time: 0.3734 data_time: 0.1012 memory: 6422 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0100 loss_cls: 0.0693 acc: 96.8018 loss_bbox: 0.1097 loss_mask: 0.2138 loss: 0.4077 2022/08/26 18:08:17 - mmengine - INFO - Epoch(train) [134][105/125] lr: 8.0000e-04 eta: 0:22:37 time: 0.3792 data_time: 0.0967 memory: 6022 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0087 loss_cls: 0.0591 acc: 97.8271 loss_bbox: 0.0969 loss_mask: 0.1883 loss: 0.3574 2022/08/26 18:08:19 - mmengine - INFO - Epoch(train) [134][110/125] lr: 8.0000e-04 eta: 0:22:33 time: 0.3675 data_time: 0.0857 memory: 6367 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0084 loss_cls: 0.0652 acc: 95.5811 loss_bbox: 0.1020 loss_mask: 0.1906 loss: 0.3723 2022/08/26 18:08:21 - mmengine - INFO - Epoch(train) [134][115/125] lr: 8.0000e-04 eta: 0:22:33 time: 0.3782 data_time: 0.0953 memory: 6538 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0087 loss_cls: 0.0739 acc: 97.2412 loss_bbox: 0.1190 loss_mask: 0.1991 loss: 0.4074 2022/08/26 18:08:22 - mmengine - INFO - Epoch(train) [134][120/125] lr: 8.0000e-04 eta: 0:22:29 time: 0.3558 data_time: 0.0765 memory: 6422 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0086 loss_cls: 0.0764 acc: 96.1182 loss_bbox: 0.1196 loss_mask: 0.1997 loss: 0.4109 2022/08/26 18:08:25 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:08:25 - mmengine - INFO - Epoch(train) [134][125/125] lr: 8.0000e-04 eta: 0:22:29 time: 0.4182 data_time: 0.1463 memory: 7064 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0118 loss_cls: 0.0835 acc: 96.1670 loss_bbox: 0.1290 loss_mask: 0.2102 loss: 0.4448 2022/08/26 18:08:29 - mmengine - INFO - Epoch(train) [135][5/125] lr: 8.0000e-04 eta: 0:22:29 time: 0.6425 data_time: 0.3689 memory: 6493 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0126 loss_cls: 0.0736 acc: 98.0713 loss_bbox: 0.1239 loss_mask: 0.1918 loss: 0.4102 2022/08/26 18:08:32 - mmengine - INFO - Epoch(train) [135][10/125] lr: 8.0000e-04 eta: 0:22:23 time: 0.6648 data_time: 0.2871 memory: 6493 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0104 loss_cls: 0.0707 acc: 96.9482 loss_bbox: 0.1143 loss_mask: 0.1847 loss: 0.3871 2022/08/26 18:08:33 - mmengine - INFO - Epoch(train) [135][15/125] lr: 8.0000e-04 eta: 0:22:23 time: 0.4390 data_time: 0.0634 memory: 6862 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0097 loss_cls: 0.0809 acc: 96.4844 loss_bbox: 0.1185 loss_mask: 0.1946 loss: 0.4128 2022/08/26 18:08:35 - mmengine - INFO - Epoch(train) [135][20/125] lr: 8.0000e-04 eta: 0:22:18 time: 0.3469 data_time: 0.0713 memory: 6456 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0097 loss_cls: 0.0815 acc: 97.2412 loss_bbox: 0.1228 loss_mask: 0.1930 loss: 0.4141 2022/08/26 18:08:37 - mmengine - INFO - Epoch(train) [135][25/125] lr: 8.0000e-04 eta: 0:22:18 time: 0.3656 data_time: 0.0890 memory: 6593 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0094 loss_cls: 0.0802 acc: 95.9473 loss_bbox: 0.1244 loss_mask: 0.1963 loss: 0.4165 2022/08/26 18:08:39 - mmengine - INFO - Epoch(train) [135][30/125] lr: 8.0000e-04 eta: 0:22:14 time: 0.3898 data_time: 0.0875 memory: 6294 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0085 loss_cls: 0.0757 acc: 98.2666 loss_bbox: 0.1171 loss_mask: 0.1906 loss: 0.3972 2022/08/26 18:08:41 - mmengine - INFO - Epoch(train) [135][35/125] lr: 8.0000e-04 eta: 0:22:14 time: 0.4288 data_time: 0.0939 memory: 7553 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0111 loss_cls: 0.0794 acc: 97.1680 loss_bbox: 0.1225 loss_mask: 0.1954 loss: 0.4148 2022/08/26 18:08:43 - mmengine - INFO - Epoch(train) [135][40/125] lr: 8.0000e-04 eta: 0:22:10 time: 0.4114 data_time: 0.1029 memory: 6482 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0121 loss_cls: 0.0849 acc: 98.0469 loss_bbox: 0.1264 loss_mask: 0.1935 loss: 0.4239 2022/08/26 18:08:46 - mmengine - INFO - Epoch(train) [135][45/125] lr: 8.0000e-04 eta: 0:22:10 time: 0.4378 data_time: 0.1580 memory: 6855 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0098 loss_cls: 0.0776 acc: 97.5342 loss_bbox: 0.1182 loss_mask: 0.1909 loss: 0.4046 2022/08/26 18:08:48 - mmengine - INFO - Epoch(train) [135][50/125] lr: 8.0000e-04 eta: 0:22:06 time: 0.4491 data_time: 0.1762 memory: 6431 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0096 loss_cls: 0.0756 acc: 98.3398 loss_bbox: 0.1207 loss_mask: 0.1987 loss: 0.4138 2022/08/26 18:08:50 - mmengine - INFO - Epoch(train) [135][55/125] lr: 8.0000e-04 eta: 0:22:06 time: 0.3853 data_time: 0.1167 memory: 6768 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0106 loss_cls: 0.0783 acc: 98.5596 loss_bbox: 0.1260 loss_mask: 0.1968 loss: 0.4189 2022/08/26 18:08:52 - mmengine - INFO - Epoch(train) [135][60/125] lr: 8.0000e-04 eta: 0:22:02 time: 0.4054 data_time: 0.0970 memory: 6349 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0109 loss_cls: 0.0785 acc: 97.9248 loss_bbox: 0.1211 loss_mask: 0.1987 loss: 0.4161 2022/08/26 18:08:53 - mmengine - INFO - Epoch(train) [135][65/125] lr: 8.0000e-04 eta: 0:22:02 time: 0.3780 data_time: 0.0706 memory: 6307 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0109 loss_cls: 0.0755 acc: 96.6553 loss_bbox: 0.1106 loss_mask: 0.1953 loss: 0.3986 2022/08/26 18:08:55 - mmengine - INFO - Epoch(train) [135][70/125] lr: 8.0000e-04 eta: 0:21:58 time: 0.3370 data_time: 0.0641 memory: 6630 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0106 loss_cls: 0.0786 acc: 97.8271 loss_bbox: 0.1144 loss_mask: 0.1917 loss: 0.4009 2022/08/26 18:08:57 - mmengine - INFO - Epoch(train) [135][75/125] lr: 8.0000e-04 eta: 0:21:58 time: 0.3888 data_time: 0.1149 memory: 6412 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0081 loss_cls: 0.0762 acc: 96.7041 loss_bbox: 0.1161 loss_mask: 0.1962 loss: 0.4014 2022/08/26 18:08:59 - mmengine - INFO - Epoch(train) [135][80/125] lr: 8.0000e-04 eta: 0:21:53 time: 0.3820 data_time: 0.0984 memory: 6418 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0067 loss_cls: 0.0737 acc: 97.3389 loss_bbox: 0.1161 loss_mask: 0.2008 loss: 0.4031 2022/08/26 18:09:01 - mmengine - INFO - Epoch(train) [135][85/125] lr: 8.0000e-04 eta: 0:21:53 time: 0.3415 data_time: 0.0579 memory: 6415 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0065 loss_cls: 0.0726 acc: 98.0469 loss_bbox: 0.1082 loss_mask: 0.1947 loss: 0.3882 2022/08/26 18:09:03 - mmengine - INFO - Epoch(train) [135][90/125] lr: 8.0000e-04 eta: 0:21:49 time: 0.3828 data_time: 0.1070 memory: 6640 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0078 loss_cls: 0.0798 acc: 96.1914 loss_bbox: 0.1216 loss_mask: 0.1986 loss: 0.4129 2022/08/26 18:09:05 - mmengine - INFO - Epoch(train) [135][95/125] lr: 8.0000e-04 eta: 0:21:49 time: 0.3901 data_time: 0.1077 memory: 6584 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0102 loss_cls: 0.0857 acc: 96.6553 loss_bbox: 0.1358 loss_mask: 0.2018 loss: 0.4404 2022/08/26 18:09:06 - mmengine - INFO - Epoch(train) [135][100/125] lr: 8.0000e-04 eta: 0:21:45 time: 0.3545 data_time: 0.0791 memory: 6022 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0108 loss_cls: 0.0752 acc: 98.4619 loss_bbox: 0.1113 loss_mask: 0.1938 loss: 0.4011 2022/08/26 18:09:08 - mmengine - INFO - Epoch(train) [135][105/125] lr: 8.0000e-04 eta: 0:21:45 time: 0.3347 data_time: 0.0687 memory: 6278 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0093 loss_cls: 0.0715 acc: 98.1201 loss_bbox: 0.1023 loss_mask: 0.1967 loss: 0.3880 2022/08/26 18:09:10 - mmengine - INFO - Epoch(train) [135][110/125] lr: 8.0000e-04 eta: 0:21:41 time: 0.3842 data_time: 0.1116 memory: 6344 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0088 loss_cls: 0.0745 acc: 96.6797 loss_bbox: 0.1116 loss_mask: 0.1968 loss: 0.3969 2022/08/26 18:09:13 - mmengine - INFO - Epoch(train) [135][115/125] lr: 8.0000e-04 eta: 0:21:41 time: 0.4660 data_time: 0.1438 memory: 6376 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0081 loss_cls: 0.0708 acc: 97.7783 loss_bbox: 0.1062 loss_mask: 0.1873 loss: 0.3775 2022/08/26 18:09:14 - mmengine - INFO - Epoch(train) [135][120/125] lr: 8.0000e-04 eta: 0:21:37 time: 0.4243 data_time: 0.1086 memory: 6094 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0085 loss_cls: 0.0667 acc: 97.6074 loss_bbox: 0.0991 loss_mask: 0.2002 loss: 0.3811 2022/08/26 18:09:16 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:09:16 - mmengine - INFO - Epoch(train) [135][125/125] lr: 8.0000e-04 eta: 0:21:37 time: 0.3325 data_time: 0.0703 memory: 6288 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0113 loss_cls: 0.0666 acc: 96.0205 loss_bbox: 0.1037 loss_mask: 0.2152 loss: 0.4044 2022/08/26 18:09:20 - mmengine - INFO - Epoch(train) [136][5/125] lr: 8.0000e-04 eta: 0:21:37 time: 0.5157 data_time: 0.2541 memory: 6298 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0091 loss_cls: 0.0660 acc: 96.4600 loss_bbox: 0.0997 loss_mask: 0.1873 loss: 0.3689 2022/08/26 18:09:22 - mmengine - INFO - Epoch(train) [136][10/125] lr: 8.0000e-04 eta: 0:21:30 time: 0.5675 data_time: 0.2959 memory: 6467 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0073 loss_cls: 0.0757 acc: 96.8018 loss_bbox: 0.1074 loss_mask: 0.1825 loss: 0.3798 2022/08/26 18:09:23 - mmengine - INFO - Epoch(train) [136][15/125] lr: 8.0000e-04 eta: 0:21:30 time: 0.3731 data_time: 0.0944 memory: 6901 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0085 loss_cls: 0.0778 acc: 94.9463 loss_bbox: 0.1186 loss_mask: 0.1955 loss: 0.4060 2022/08/26 18:09:25 - mmengine - INFO - Epoch(train) [136][20/125] lr: 8.0000e-04 eta: 0:21:26 time: 0.3549 data_time: 0.0794 memory: 6793 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0093 loss_cls: 0.0756 acc: 98.2666 loss_bbox: 0.1208 loss_mask: 0.1986 loss: 0.4101 2022/08/26 18:09:27 - mmengine - INFO - Epoch(train) [136][25/125] lr: 8.0000e-04 eta: 0:21:26 time: 0.3930 data_time: 0.1172 memory: 6499 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0104 loss_cls: 0.0810 acc: 98.4863 loss_bbox: 0.1265 loss_mask: 0.2000 loss: 0.4250 2022/08/26 18:09:29 - mmengine - INFO - Epoch(train) [136][30/125] lr: 8.0000e-04 eta: 0:21:22 time: 0.3874 data_time: 0.1079 memory: 6652 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0114 loss_cls: 0.0890 acc: 94.5801 loss_bbox: 0.1350 loss_mask: 0.2117 loss: 0.4542 2022/08/26 18:09:33 - mmengine - INFO - Epoch(train) [136][35/125] lr: 8.0000e-04 eta: 0:21:22 time: 0.5468 data_time: 0.1082 memory: 6659 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0134 loss_cls: 0.0915 acc: 96.7041 loss_bbox: 0.1308 loss_mask: 0.2141 loss: 0.4578 2022/08/26 18:09:35 - mmengine - INFO - Epoch(train) [136][40/125] lr: 8.0000e-04 eta: 0:21:18 time: 0.5722 data_time: 0.1353 memory: 6534 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0113 loss_cls: 0.0711 acc: 98.2178 loss_bbox: 0.1057 loss_mask: 0.1918 loss: 0.3867 2022/08/26 18:09:37 - mmengine - INFO - Epoch(train) [136][45/125] lr: 8.0000e-04 eta: 0:21:18 time: 0.3836 data_time: 0.1105 memory: 6421 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0112 loss_cls: 0.0633 acc: 96.1914 loss_bbox: 0.1056 loss_mask: 0.1912 loss: 0.3797 2022/08/26 18:09:38 - mmengine - INFO - Epoch(train) [136][50/125] lr: 8.0000e-04 eta: 0:21:14 time: 0.3431 data_time: 0.0729 memory: 6594 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0122 loss_cls: 0.0798 acc: 97.2168 loss_bbox: 0.1196 loss_mask: 0.1925 loss: 0.4131 2022/08/26 18:09:40 - mmengine - INFO - Epoch(train) [136][55/125] lr: 8.0000e-04 eta: 0:21:14 time: 0.3282 data_time: 0.0571 memory: 6193 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0083 loss_cls: 0.0779 acc: 97.6074 loss_bbox: 0.1091 loss_mask: 0.1853 loss: 0.3855 2022/08/26 18:09:42 - mmengine - INFO - Epoch(train) [136][60/125] lr: 8.0000e-04 eta: 0:21:09 time: 0.3516 data_time: 0.0811 memory: 6434 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0078 loss_cls: 0.0745 acc: 97.0215 loss_bbox: 0.1052 loss_mask: 0.1984 loss: 0.3920 2022/08/26 18:09:44 - mmengine - INFO - Epoch(train) [136][65/125] lr: 8.0000e-04 eta: 0:21:09 time: 0.3582 data_time: 0.0863 memory: 6196 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0089 loss_cls: 0.0819 acc: 97.1436 loss_bbox: 0.1155 loss_mask: 0.2005 loss: 0.4147 2022/08/26 18:09:45 - mmengine - INFO - Epoch(train) [136][70/125] lr: 8.0000e-04 eta: 0:21:05 time: 0.3576 data_time: 0.0892 memory: 6483 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0070 loss_cls: 0.0746 acc: 97.2900 loss_bbox: 0.1110 loss_mask: 0.1839 loss: 0.3831 2022/08/26 18:09:47 - mmengine - INFO - Epoch(train) [136][75/125] lr: 8.0000e-04 eta: 0:21:05 time: 0.3800 data_time: 0.1147 memory: 6120 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0066 loss_cls: 0.0740 acc: 97.1191 loss_bbox: 0.1109 loss_mask: 0.1904 loss: 0.3878 2022/08/26 18:09:49 - mmengine - INFO - Epoch(train) [136][80/125] lr: 8.0000e-04 eta: 0:21:01 time: 0.3460 data_time: 0.0780 memory: 6519 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0078 loss_cls: 0.0785 acc: 96.6309 loss_bbox: 0.1195 loss_mask: 0.2004 loss: 0.4139 2022/08/26 18:09:51 - mmengine - INFO - Epoch(train) [136][85/125] lr: 8.0000e-04 eta: 0:21:01 time: 0.3931 data_time: 0.0581 memory: 6135 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0070 loss_cls: 0.0757 acc: 96.5088 loss_bbox: 0.1169 loss_mask: 0.2009 loss: 0.4073 2022/08/26 18:09:53 - mmengine - INFO - Epoch(train) [136][90/125] lr: 8.0000e-04 eta: 0:20:57 time: 0.4391 data_time: 0.1008 memory: 6330 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0065 loss_cls: 0.0748 acc: 97.1436 loss_bbox: 0.1091 loss_mask: 0.1940 loss: 0.3889 2022/08/26 18:09:55 - mmengine - INFO - Epoch(train) [136][95/125] lr: 8.0000e-04 eta: 0:20:57 time: 0.3791 data_time: 0.1038 memory: 6653 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0076 loss_cls: 0.0777 acc: 96.0693 loss_bbox: 0.1108 loss_mask: 0.1944 loss: 0.3970 2022/08/26 18:09:57 - mmengine - INFO - Epoch(train) [136][100/125] lr: 8.0000e-04 eta: 0:20:53 time: 0.3704 data_time: 0.0941 memory: 6593 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0093 loss_cls: 0.0768 acc: 97.8027 loss_bbox: 0.1169 loss_mask: 0.1955 loss: 0.4052 2022/08/26 18:09:59 - mmengine - INFO - Epoch(train) [136][105/125] lr: 8.0000e-04 eta: 0:20:53 time: 0.3763 data_time: 0.0974 memory: 6525 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0100 loss_cls: 0.0712 acc: 97.8027 loss_bbox: 0.1152 loss_mask: 0.1834 loss: 0.3844 2022/08/26 18:10:02 - mmengine - INFO - Epoch(train) [136][110/125] lr: 8.0000e-04 eta: 0:20:49 time: 0.4921 data_time: 0.1642 memory: 8388 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0102 loss_cls: 0.0735 acc: 93.7256 loss_bbox: 0.1164 loss_mask: 0.1847 loss: 0.3908 2022/08/26 18:10:04 - mmengine - INFO - Epoch(train) [136][115/125] lr: 8.0000e-04 eta: 0:20:49 time: 0.4751 data_time: 0.1462 memory: 6712 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0115 loss_cls: 0.0785 acc: 95.3613 loss_bbox: 0.1178 loss_mask: 0.1947 loss: 0.4130 2022/08/26 18:10:05 - mmengine - INFO - Epoch(train) [136][120/125] lr: 8.0000e-04 eta: 0:20:44 time: 0.3314 data_time: 0.0562 memory: 6473 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0119 loss_cls: 0.0783 acc: 98.3398 loss_bbox: 0.1166 loss_mask: 0.1957 loss: 0.4127 2022/08/26 18:10:07 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:10:07 - mmengine - INFO - Epoch(train) [136][125/125] lr: 8.0000e-04 eta: 0:20:44 time: 0.3553 data_time: 0.0830 memory: 6691 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0118 loss_cls: 0.0782 acc: 96.3135 loss_bbox: 0.1235 loss_mask: 0.1912 loss: 0.4117 2022/08/26 18:10:11 - mmengine - INFO - Epoch(train) [137][5/125] lr: 8.0000e-04 eta: 0:20:44 time: 0.5291 data_time: 0.2481 memory: 6734 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0125 loss_cls: 0.0875 acc: 95.8496 loss_bbox: 0.1391 loss_mask: 0.1908 loss: 0.4385 2022/08/26 18:10:12 - mmengine - INFO - Epoch(train) [137][10/125] lr: 8.0000e-04 eta: 0:20:38 time: 0.5119 data_time: 0.2344 memory: 6331 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0133 loss_cls: 0.0876 acc: 96.8018 loss_bbox: 0.1284 loss_mask: 0.1960 loss: 0.4329 2022/08/26 18:10:14 - mmengine - INFO - Epoch(train) [137][15/125] lr: 8.0000e-04 eta: 0:20:38 time: 0.3322 data_time: 0.0635 memory: 6636 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0128 loss_cls: 0.0737 acc: 97.7295 loss_bbox: 0.1024 loss_mask: 0.1835 loss: 0.3786 2022/08/26 18:10:16 - mmengine - INFO - Epoch(train) [137][20/125] lr: 8.0000e-04 eta: 0:20:34 time: 0.3272 data_time: 0.0637 memory: 6297 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0090 loss_cls: 0.0675 acc: 98.9990 loss_bbox: 0.0898 loss_mask: 0.1740 loss: 0.3470 2022/08/26 18:10:18 - mmengine - INFO - Epoch(train) [137][25/125] lr: 8.0000e-04 eta: 0:20:34 time: 0.3824 data_time: 0.1097 memory: 6534 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0075 loss_cls: 0.0776 acc: 96.9238 loss_bbox: 0.1080 loss_mask: 0.1919 loss: 0.3912 2022/08/26 18:10:19 - mmengine - INFO - Epoch(train) [137][30/125] lr: 8.0000e-04 eta: 0:20:29 time: 0.3827 data_time: 0.1069 memory: 6489 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0088 loss_cls: 0.0806 acc: 96.8018 loss_bbox: 0.1166 loss_mask: 0.1973 loss: 0.4101 2022/08/26 18:10:22 - mmengine - INFO - Epoch(train) [137][35/125] lr: 8.0000e-04 eta: 0:20:29 time: 0.4168 data_time: 0.0757 memory: 7840 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0114 loss_cls: 0.0790 acc: 94.2627 loss_bbox: 0.1175 loss_mask: 0.2025 loss: 0.4174 2022/08/26 18:10:24 - mmengine - INFO - Epoch(train) [137][40/125] lr: 8.0000e-04 eta: 0:20:25 time: 0.4360 data_time: 0.0920 memory: 6183 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0121 loss_cls: 0.0885 acc: 95.6787 loss_bbox: 0.1270 loss_mask: 0.2181 loss: 0.4550 2022/08/26 18:10:26 - mmengine - INFO - Epoch(train) [137][45/125] lr: 8.0000e-04 eta: 0:20:25 time: 0.3838 data_time: 0.1089 memory: 6760 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0108 loss_cls: 0.0859 acc: 97.0459 loss_bbox: 0.1223 loss_mask: 0.2019 loss: 0.4303 2022/08/26 18:10:28 - mmengine - INFO - Epoch(train) [137][50/125] lr: 8.0000e-04 eta: 0:20:21 time: 0.3893 data_time: 0.1107 memory: 7015 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0130 loss_cls: 0.0800 acc: 94.9951 loss_bbox: 0.1254 loss_mask: 0.1777 loss: 0.4032 2022/08/26 18:10:30 - mmengine - INFO - Epoch(train) [137][55/125] lr: 8.0000e-04 eta: 0:20:21 time: 0.3775 data_time: 0.1081 memory: 6016 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0110 loss_cls: 0.0635 acc: 98.3398 loss_bbox: 0.0978 loss_mask: 0.1726 loss: 0.3515 2022/08/26 18:10:32 - mmengine - INFO - Epoch(train) [137][60/125] lr: 8.0000e-04 eta: 0:20:17 time: 0.3852 data_time: 0.1050 memory: 6473 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0103 loss_cls: 0.0677 acc: 95.6543 loss_bbox: 0.1007 loss_mask: 0.1852 loss: 0.3709 2022/08/26 18:10:33 - mmengine - INFO - Epoch(train) [137][65/125] lr: 8.0000e-04 eta: 0:20:17 time: 0.3628 data_time: 0.0789 memory: 6232 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0112 loss_cls: 0.0778 acc: 95.9717 loss_bbox: 0.1173 loss_mask: 0.1926 loss: 0.4058 2022/08/26 18:10:35 - mmengine - INFO - Epoch(train) [137][70/125] lr: 8.0000e-04 eta: 0:20:13 time: 0.3287 data_time: 0.0557 memory: 6521 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0122 loss_cls: 0.0772 acc: 97.2412 loss_bbox: 0.1183 loss_mask: 0.1930 loss: 0.4070 2022/08/26 18:10:37 - mmengine - INFO - Epoch(train) [137][75/125] lr: 8.0000e-04 eta: 0:20:13 time: 0.3342 data_time: 0.0565 memory: 6796 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0125 loss_cls: 0.0827 acc: 98.6084 loss_bbox: 0.1299 loss_mask: 0.1997 loss: 0.4325 2022/08/26 18:10:39 - mmengine - INFO - Epoch(train) [137][80/125] lr: 8.0000e-04 eta: 0:20:08 time: 0.3668 data_time: 0.0898 memory: 6790 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0107 loss_cls: 0.0894 acc: 97.9736 loss_bbox: 0.1362 loss_mask: 0.2081 loss: 0.4519 2022/08/26 18:10:42 - mmengine - INFO - Epoch(train) [137][85/125] lr: 8.0000e-04 eta: 0:20:08 time: 0.5188 data_time: 0.1243 memory: 6564 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0095 loss_cls: 0.0853 acc: 97.6807 loss_bbox: 0.1256 loss_mask: 0.2039 loss: 0.4296 2022/08/26 18:10:43 - mmengine - INFO - Epoch(train) [137][90/125] lr: 8.0000e-04 eta: 0:20:04 time: 0.4920 data_time: 0.0980 memory: 6706 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0094 loss_cls: 0.0736 acc: 97.9004 loss_bbox: 0.1187 loss_mask: 0.1957 loss: 0.4026 2022/08/26 18:10:45 - mmengine - INFO - Epoch(train) [137][95/125] lr: 8.0000e-04 eta: 0:20:04 time: 0.3475 data_time: 0.0724 memory: 6564 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0119 loss_cls: 0.0706 acc: 97.8760 loss_bbox: 0.1202 loss_mask: 0.1918 loss: 0.4002 2022/08/26 18:10:47 - mmengine - INFO - Epoch(train) [137][100/125] lr: 8.0000e-04 eta: 0:20:00 time: 0.3405 data_time: 0.0687 memory: 6564 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0119 loss_cls: 0.0720 acc: 95.7764 loss_bbox: 0.1091 loss_mask: 0.1911 loss: 0.3926 2022/08/26 18:10:49 - mmengine - INFO - Epoch(train) [137][105/125] lr: 8.0000e-04 eta: 0:20:00 time: 0.3745 data_time: 0.1037 memory: 6722 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0104 loss_cls: 0.0701 acc: 97.3877 loss_bbox: 0.1086 loss_mask: 0.1900 loss: 0.3870 2022/08/26 18:10:51 - mmengine - INFO - Epoch(train) [137][110/125] lr: 8.0000e-04 eta: 0:19:56 time: 0.3916 data_time: 0.1152 memory: 6512 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0095 loss_cls: 0.0694 acc: 96.4111 loss_bbox: 0.1145 loss_mask: 0.1812 loss: 0.3786 2022/08/26 18:10:53 - mmengine - INFO - Epoch(train) [137][115/125] lr: 8.0000e-04 eta: 0:19:56 time: 0.3569 data_time: 0.0865 memory: 5979 loss_rpn_cls: 0.0042 loss_rpn_bbox: 0.0075 loss_cls: 0.0677 acc: 98.0225 loss_bbox: 0.1015 loss_mask: 0.1883 loss: 0.3692 2022/08/26 18:10:54 - mmengine - INFO - Epoch(train) [137][120/125] lr: 8.0000e-04 eta: 0:19:52 time: 0.3547 data_time: 0.0855 memory: 6649 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0075 loss_cls: 0.0780 acc: 96.7285 loss_bbox: 0.1098 loss_mask: 0.2017 loss: 0.4045 2022/08/26 18:10:56 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:10:56 - mmengine - INFO - Epoch(train) [137][125/125] lr: 8.0000e-04 eta: 0:19:52 time: 0.3442 data_time: 0.0723 memory: 6970 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0085 loss_cls: 0.0951 acc: 93.2617 loss_bbox: 0.1309 loss_mask: 0.2069 loss: 0.4504 2022/08/26 18:10:59 - mmengine - INFO - Epoch(train) [138][5/125] lr: 8.0000e-04 eta: 0:19:52 time: 0.4781 data_time: 0.2046 memory: 6610 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0080 loss_cls: 0.0930 acc: 96.3135 loss_bbox: 0.1306 loss_mask: 0.1958 loss: 0.4329 2022/08/26 18:11:02 - mmengine - INFO - Epoch(train) [138][10/125] lr: 8.0000e-04 eta: 0:19:45 time: 0.5917 data_time: 0.2397 memory: 6463 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0076 loss_cls: 0.0901 acc: 95.9961 loss_bbox: 0.1289 loss_mask: 0.1931 loss: 0.4248 2022/08/26 18:11:04 - mmengine - INFO - Epoch(train) [138][15/125] lr: 8.0000e-04 eta: 0:19:45 time: 0.4326 data_time: 0.0914 memory: 6196 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0072 loss_cls: 0.0779 acc: 97.6807 loss_bbox: 0.1108 loss_mask: 0.1942 loss: 0.3970 2022/08/26 18:11:05 - mmengine - INFO - Epoch(train) [138][20/125] lr: 8.0000e-04 eta: 0:19:41 time: 0.3508 data_time: 0.0821 memory: 6603 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0068 loss_cls: 0.0686 acc: 97.3389 loss_bbox: 0.1010 loss_mask: 0.1933 loss: 0.3761 2022/08/26 18:11:07 - mmengine - INFO - Epoch(train) [138][25/125] lr: 8.0000e-04 eta: 0:19:41 time: 0.3541 data_time: 0.0839 memory: 6301 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0085 loss_cls: 0.0760 acc: 96.7041 loss_bbox: 0.1069 loss_mask: 0.2048 loss: 0.4033 2022/08/26 18:11:09 - mmengine - INFO - Epoch(train) [138][30/125] lr: 8.0000e-04 eta: 0:19:37 time: 0.3530 data_time: 0.0849 memory: 6320 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0116 loss_cls: 0.0695 acc: 97.7539 loss_bbox: 0.0974 loss_mask: 0.1949 loss: 0.3823 2022/08/26 18:11:11 - mmengine - INFO - Epoch(train) [138][35/125] lr: 8.0000e-04 eta: 0:19:37 time: 0.3528 data_time: 0.0795 memory: 6796 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0129 loss_cls: 0.0654 acc: 97.4854 loss_bbox: 0.1004 loss_mask: 0.1875 loss: 0.3721 2022/08/26 18:11:13 - mmengine - INFO - Epoch(train) [138][40/125] lr: 8.0000e-04 eta: 0:19:33 time: 0.4017 data_time: 0.1263 memory: 6747 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0121 loss_cls: 0.0746 acc: 97.1680 loss_bbox: 0.1253 loss_mask: 0.1900 loss: 0.4067 2022/08/26 18:11:15 - mmengine - INFO - Epoch(train) [138][45/125] lr: 8.0000e-04 eta: 0:19:33 time: 0.4414 data_time: 0.1652 memory: 6757 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0121 loss_cls: 0.0816 acc: 95.4102 loss_bbox: 0.1414 loss_mask: 0.1816 loss: 0.4237 2022/08/26 18:11:17 - mmengine - INFO - Epoch(train) [138][50/125] lr: 8.0000e-04 eta: 0:19:29 time: 0.3754 data_time: 0.1005 memory: 6490 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0104 loss_cls: 0.0821 acc: 96.7773 loss_bbox: 0.1371 loss_mask: 0.1844 loss: 0.4202 2022/08/26 18:11:19 - mmengine - INFO - Epoch(train) [138][55/125] lr: 8.0000e-04 eta: 0:19:29 time: 0.3832 data_time: 0.0752 memory: 8129 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0132 loss_cls: 0.0899 acc: 95.6543 loss_bbox: 0.1445 loss_mask: 0.1983 loss: 0.4521 2022/08/26 18:11:21 - mmengine - INFO - Epoch(train) [138][60/125] lr: 8.0000e-04 eta: 0:19:25 time: 0.4531 data_time: 0.1229 memory: 6193 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0127 loss_cls: 0.0772 acc: 97.7051 loss_bbox: 0.1231 loss_mask: 0.1935 loss: 0.4130 2022/08/26 18:11:23 - mmengine - INFO - Epoch(train) [138][65/125] lr: 8.0000e-04 eta: 0:19:25 time: 0.4500 data_time: 0.1451 memory: 6503 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0071 loss_cls: 0.0618 acc: 96.9238 loss_bbox: 0.0970 loss_mask: 0.1843 loss: 0.3548 2022/08/26 18:11:25 - mmengine - INFO - Epoch(train) [138][70/125] lr: 8.0000e-04 eta: 0:19:20 time: 0.3775 data_time: 0.1026 memory: 6271 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0068 loss_cls: 0.0709 acc: 96.8506 loss_bbox: 0.1042 loss_mask: 0.1997 loss: 0.3864 2022/08/26 18:11:27 - mmengine - INFO - Epoch(train) [138][75/125] lr: 8.0000e-04 eta: 0:19:20 time: 0.3585 data_time: 0.0953 memory: 6320 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0089 loss_cls: 0.0795 acc: 96.3379 loss_bbox: 0.1086 loss_mask: 0.2104 loss: 0.4158 2022/08/26 18:11:29 - mmengine - INFO - Epoch(train) [138][80/125] lr: 8.0000e-04 eta: 0:19:16 time: 0.3428 data_time: 0.0731 memory: 6839 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0109 loss_cls: 0.0919 acc: 96.6553 loss_bbox: 0.1251 loss_mask: 0.2017 loss: 0.4387 2022/08/26 18:11:30 - mmengine - INFO - Epoch(train) [138][85/125] lr: 8.0000e-04 eta: 0:19:16 time: 0.3306 data_time: 0.0608 memory: 6476 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0105 loss_cls: 0.0878 acc: 95.1660 loss_bbox: 0.1279 loss_mask: 0.1981 loss: 0.4309 2022/08/26 18:11:32 - mmengine - INFO - Epoch(train) [138][90/125] lr: 8.0000e-04 eta: 0:19:12 time: 0.3780 data_time: 0.0777 memory: 6568 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0114 loss_cls: 0.0838 acc: 96.0938 loss_bbox: 0.1258 loss_mask: 0.2028 loss: 0.4312 2022/08/26 18:11:35 - mmengine - INFO - Epoch(train) [138][95/125] lr: 8.0000e-04 eta: 0:19:12 time: 0.4711 data_time: 0.1690 memory: 6252 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0099 loss_cls: 0.0805 acc: 97.1436 loss_bbox: 0.1226 loss_mask: 0.2097 loss: 0.4303 2022/08/26 18:11:38 - mmengine - INFO - Epoch(train) [138][100/125] lr: 8.0000e-04 eta: 0:19:08 time: 0.5843 data_time: 0.3105 memory: 6884 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0098 loss_cls: 0.0765 acc: 97.8027 loss_bbox: 0.1247 loss_mask: 0.1965 loss: 0.4141 2022/08/26 18:11:40 - mmengine - INFO - Epoch(train) [138][105/125] lr: 8.0000e-04 eta: 0:19:08 time: 0.5015 data_time: 0.2281 memory: 6422 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0135 loss_cls: 0.0766 acc: 98.4131 loss_bbox: 0.1231 loss_mask: 0.1967 loss: 0.4179 2022/08/26 18:11:43 - mmengine - INFO - Epoch(train) [138][110/125] lr: 8.0000e-04 eta: 0:19:04 time: 0.4565 data_time: 0.0786 memory: 6508 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0124 loss_cls: 0.0764 acc: 97.2412 loss_bbox: 0.1179 loss_mask: 0.2068 loss: 0.4220 2022/08/26 18:11:45 - mmengine - INFO - Epoch(train) [138][115/125] lr: 8.0000e-04 eta: 0:19:04 time: 0.4995 data_time: 0.0961 memory: 6320 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0088 loss_cls: 0.0723 acc: 96.6064 loss_bbox: 0.1096 loss_mask: 0.1908 loss: 0.3880 2022/08/26 18:11:47 - mmengine - INFO - Epoch(train) [138][120/125] lr: 8.0000e-04 eta: 0:19:00 time: 0.4110 data_time: 0.1115 memory: 6590 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0105 loss_cls: 0.0785 acc: 96.5576 loss_bbox: 0.1185 loss_mask: 0.1857 loss: 0.3995 2022/08/26 18:11:48 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:11:48 - mmengine - INFO - Epoch(train) [138][125/125] lr: 8.0000e-04 eta: 0:19:00 time: 0.3489 data_time: 0.0733 memory: 6756 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0107 loss_cls: 0.0824 acc: 98.3643 loss_bbox: 0.1314 loss_mask: 0.1834 loss: 0.4141 2022/08/26 18:11:51 - mmengine - INFO - Epoch(train) [139][5/125] lr: 8.0000e-04 eta: 0:19:00 time: 0.4510 data_time: 0.1737 memory: 6495 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0101 loss_cls: 0.0733 acc: 97.1191 loss_bbox: 0.1180 loss_mask: 0.1801 loss: 0.3867 2022/08/26 18:11:53 - mmengine - INFO - Epoch(train) [139][10/125] lr: 8.0000e-04 eta: 0:18:53 time: 0.4863 data_time: 0.2118 memory: 6447 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0105 loss_cls: 0.0767 acc: 94.9707 loss_bbox: 0.1210 loss_mask: 0.1952 loss: 0.4084 2022/08/26 18:11:55 - mmengine - INFO - Epoch(train) [139][15/125] lr: 8.0000e-04 eta: 0:18:53 time: 0.3892 data_time: 0.1173 memory: 6670 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0098 loss_cls: 0.0814 acc: 98.1201 loss_bbox: 0.1294 loss_mask: 0.2051 loss: 0.4303 2022/08/26 18:11:57 - mmengine - INFO - Epoch(train) [139][20/125] lr: 8.0000e-04 eta: 0:18:49 time: 0.3634 data_time: 0.0940 memory: 6416 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0109 loss_cls: 0.0750 acc: 96.9971 loss_bbox: 0.1125 loss_mask: 0.2011 loss: 0.4059 2022/08/26 18:11:59 - mmengine - INFO - Epoch(train) [139][25/125] lr: 8.0000e-04 eta: 0:18:49 time: 0.3737 data_time: 0.0820 memory: 6360 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0116 loss_cls: 0.0690 acc: 97.1924 loss_bbox: 0.1005 loss_mask: 0.1869 loss: 0.3759 2022/08/26 18:12:01 - mmengine - INFO - Epoch(train) [139][30/125] lr: 8.0000e-04 eta: 0:18:45 time: 0.3987 data_time: 0.0646 memory: 6904 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0119 loss_cls: 0.0744 acc: 95.4590 loss_bbox: 0.1193 loss_mask: 0.1835 loss: 0.3949 2022/08/26 18:12:03 - mmengine - INFO - Epoch(train) [139][35/125] lr: 8.0000e-04 eta: 0:18:45 time: 0.4108 data_time: 0.0975 memory: 6796 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0113 loss_cls: 0.0784 acc: 98.0469 loss_bbox: 0.1272 loss_mask: 0.1939 loss: 0.4170 2022/08/26 18:12:05 - mmengine - INFO - Epoch(train) [139][40/125] lr: 8.0000e-04 eta: 0:18:41 time: 0.3739 data_time: 0.1009 memory: 5950 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0083 loss_cls: 0.0745 acc: 97.4609 loss_bbox: 0.1038 loss_mask: 0.2027 loss: 0.3966 2022/08/26 18:12:07 - mmengine - INFO - Epoch(train) [139][45/125] lr: 8.0000e-04 eta: 0:18:41 time: 0.3955 data_time: 0.0983 memory: 8309 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0116 loss_cls: 0.0800 acc: 97.1436 loss_bbox: 0.1095 loss_mask: 0.2066 loss: 0.4146 2022/08/26 18:12:09 - mmengine - INFO - Epoch(train) [139][50/125] lr: 8.0000e-04 eta: 0:18:37 time: 0.4150 data_time: 0.1133 memory: 6591 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0137 loss_cls: 0.0888 acc: 97.2900 loss_bbox: 0.1282 loss_mask: 0.2002 loss: 0.4404 2022/08/26 18:12:11 - mmengine - INFO - Epoch(train) [139][55/125] lr: 8.0000e-04 eta: 0:18:37 time: 0.3594 data_time: 0.0796 memory: 6171 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0100 loss_cls: 0.0740 acc: 96.2891 loss_bbox: 0.1090 loss_mask: 0.1936 loss: 0.3954 2022/08/26 18:12:13 - mmengine - INFO - Epoch(train) [139][60/125] lr: 8.0000e-04 eta: 0:18:33 time: 0.4059 data_time: 0.1274 memory: 6581 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0114 loss_cls: 0.0629 acc: 97.1191 loss_bbox: 0.1034 loss_mask: 0.1780 loss: 0.3642 2022/08/26 18:12:15 - mmengine - INFO - Epoch(train) [139][65/125] lr: 8.0000e-04 eta: 0:18:33 time: 0.4310 data_time: 0.1538 memory: 6809 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0117 loss_cls: 0.0793 acc: 96.8506 loss_bbox: 0.1297 loss_mask: 0.1763 loss: 0.4055 2022/08/26 18:12:17 - mmengine - INFO - Epoch(train) [139][70/125] lr: 8.0000e-04 eta: 0:18:28 time: 0.3945 data_time: 0.1212 memory: 6261 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0096 loss_cls: 0.0781 acc: 97.2412 loss_bbox: 0.1256 loss_mask: 0.1919 loss: 0.4111 2022/08/26 18:12:19 - mmengine - INFO - Epoch(train) [139][75/125] lr: 8.0000e-04 eta: 0:18:28 time: 0.3914 data_time: 0.1102 memory: 6670 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0116 loss_cls: 0.0802 acc: 96.8262 loss_bbox: 0.1220 loss_mask: 0.2063 loss: 0.4279 2022/08/26 18:12:22 - mmengine - INFO - Epoch(train) [139][80/125] lr: 8.0000e-04 eta: 0:18:24 time: 0.4659 data_time: 0.1144 memory: 6802 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0110 loss_cls: 0.0906 acc: 97.2900 loss_bbox: 0.1347 loss_mask: 0.2061 loss: 0.4498 2022/08/26 18:12:23 - mmengine - INFO - Epoch(train) [139][85/125] lr: 8.0000e-04 eta: 0:18:24 time: 0.4309 data_time: 0.0939 memory: 6398 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0088 loss_cls: 0.0765 acc: 97.8760 loss_bbox: 0.1188 loss_mask: 0.1861 loss: 0.3957 2022/08/26 18:12:25 - mmengine - INFO - Epoch(train) [139][90/125] lr: 8.0000e-04 eta: 0:18:20 time: 0.3581 data_time: 0.0866 memory: 6770 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0093 loss_cls: 0.0692 acc: 97.5586 loss_bbox: 0.1078 loss_mask: 0.1962 loss: 0.3886 2022/08/26 18:12:27 - mmengine - INFO - Epoch(train) [139][95/125] lr: 8.0000e-04 eta: 0:18:20 time: 0.3899 data_time: 0.1193 memory: 6248 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0084 loss_cls: 0.0711 acc: 97.0703 loss_bbox: 0.1083 loss_mask: 0.2098 loss: 0.4039 2022/08/26 18:12:29 - mmengine - INFO - Epoch(train) [139][100/125] lr: 8.0000e-04 eta: 0:18:16 time: 0.3623 data_time: 0.0936 memory: 6584 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0069 loss_cls: 0.0712 acc: 97.7051 loss_bbox: 0.1099 loss_mask: 0.1915 loss: 0.3854 2022/08/26 18:12:31 - mmengine - INFO - Epoch(train) [139][105/125] lr: 8.0000e-04 eta: 0:18:16 time: 0.4198 data_time: 0.1125 memory: 6290 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0078 loss_cls: 0.0726 acc: 97.1436 loss_bbox: 0.1133 loss_mask: 0.1862 loss: 0.3853 2022/08/26 18:12:34 - mmengine - INFO - Epoch(train) [139][110/125] lr: 8.0000e-04 eta: 0:18:12 time: 0.5336 data_time: 0.2010 memory: 6379 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0099 loss_cls: 0.0786 acc: 96.6309 loss_bbox: 0.1165 loss_mask: 0.2013 loss: 0.4115 2022/08/26 18:12:36 - mmengine - INFO - Epoch(train) [139][115/125] lr: 8.0000e-04 eta: 0:18:12 time: 0.4600 data_time: 0.1629 memory: 6412 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0089 loss_cls: 0.0721 acc: 98.5352 loss_bbox: 0.1069 loss_mask: 0.1941 loss: 0.3874 2022/08/26 18:12:38 - mmengine - INFO - Epoch(train) [139][120/125] lr: 8.0000e-04 eta: 0:18:08 time: 0.4005 data_time: 0.1252 memory: 6645 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0083 loss_cls: 0.0725 acc: 97.9980 loss_bbox: 0.1090 loss_mask: 0.1796 loss: 0.3760 2022/08/26 18:12:40 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:12:40 - mmengine - INFO - Epoch(train) [139][125/125] lr: 8.0000e-04 eta: 0:18:08 time: 0.3772 data_time: 0.1012 memory: 6649 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0104 loss_cls: 0.0853 acc: 97.1924 loss_bbox: 0.1235 loss_mask: 0.1996 loss: 0.4260 2022/08/26 18:12:43 - mmengine - INFO - Epoch(train) [140][5/125] lr: 8.0000e-04 eta: 0:18:08 time: 0.5174 data_time: 0.2423 memory: 6706 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0100 loss_cls: 0.0886 acc: 97.9004 loss_bbox: 0.1239 loss_mask: 0.2122 loss: 0.4417 2022/08/26 18:12:45 - mmengine - INFO - Epoch(train) [140][10/125] lr: 8.0000e-04 eta: 0:18:01 time: 0.5205 data_time: 0.2479 memory: 6510 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0084 loss_cls: 0.0917 acc: 96.7285 loss_bbox: 0.1222 loss_mask: 0.2023 loss: 0.4335 2022/08/26 18:12:47 - mmengine - INFO - Epoch(train) [140][15/125] lr: 8.0000e-04 eta: 0:18:01 time: 0.3187 data_time: 0.0492 memory: 6669 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0078 loss_cls: 0.0874 acc: 97.2412 loss_bbox: 0.1197 loss_mask: 0.1857 loss: 0.4092 2022/08/26 18:12:49 - mmengine - INFO - Epoch(train) [140][20/125] lr: 8.0000e-04 eta: 0:17:57 time: 0.3784 data_time: 0.1079 memory: 6220 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0109 loss_cls: 0.0743 acc: 96.5576 loss_bbox: 0.1096 loss_mask: 0.1825 loss: 0.3833 2022/08/26 18:12:51 - mmengine - INFO - Epoch(train) [140][25/125] lr: 8.0000e-04 eta: 0:17:57 time: 0.4089 data_time: 0.1220 memory: 6675 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0134 loss_cls: 0.0669 acc: 98.8281 loss_bbox: 0.1060 loss_mask: 0.1882 loss: 0.3808 2022/08/26 18:12:54 - mmengine - INFO - Epoch(train) [140][30/125] lr: 8.0000e-04 eta: 0:17:53 time: 0.4746 data_time: 0.0768 memory: 6826 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0133 loss_cls: 0.0805 acc: 95.9229 loss_bbox: 0.1266 loss_mask: 0.1894 loss: 0.4183 2022/08/26 18:12:56 - mmengine - INFO - Epoch(train) [140][35/125] lr: 8.0000e-04 eta: 0:17:53 time: 0.4851 data_time: 0.1000 memory: 6695 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0111 loss_cls: 0.0800 acc: 96.8018 loss_bbox: 0.1279 loss_mask: 0.1867 loss: 0.4122 2022/08/26 18:12:57 - mmengine - INFO - Epoch(train) [140][40/125] lr: 8.0000e-04 eta: 0:17:49 time: 0.3828 data_time: 0.0952 memory: 6773 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0092 loss_cls: 0.0708 acc: 96.8262 loss_bbox: 0.1216 loss_mask: 0.1774 loss: 0.3841 2022/08/26 18:13:00 - mmengine - INFO - Epoch(train) [140][45/125] lr: 8.0000e-04 eta: 0:17:49 time: 0.3924 data_time: 0.1067 memory: 6209 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0090 loss_cls: 0.0749 acc: 98.0225 loss_bbox: 0.1248 loss_mask: 0.1940 loss: 0.4089 2022/08/26 18:13:01 - mmengine - INFO - Epoch(train) [140][50/125] lr: 8.0000e-04 eta: 0:17:45 time: 0.4024 data_time: 0.1287 memory: 6743 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0122 loss_cls: 0.0868 acc: 98.3154 loss_bbox: 0.1324 loss_mask: 0.2090 loss: 0.4482 2022/08/26 18:13:03 - mmengine - INFO - Epoch(train) [140][55/125] lr: 8.0000e-04 eta: 0:17:45 time: 0.3584 data_time: 0.0821 memory: 6809 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0133 loss_cls: 0.0922 acc: 97.5586 loss_bbox: 0.1405 loss_mask: 0.1990 loss: 0.4524 2022/08/26 18:13:05 - mmengine - INFO - Epoch(train) [140][60/125] lr: 8.0000e-04 eta: 0:17:41 time: 0.3442 data_time: 0.0734 memory: 6141 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0080 loss_cls: 0.0757 acc: 97.5586 loss_bbox: 0.1150 loss_mask: 0.1981 loss: 0.4024 2022/08/26 18:13:06 - mmengine - INFO - Epoch(train) [140][65/125] lr: 8.0000e-04 eta: 0:17:41 time: 0.3328 data_time: 0.0688 memory: 6610 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0070 loss_cls: 0.0709 acc: 96.3135 loss_bbox: 0.1024 loss_mask: 0.1972 loss: 0.3841 2022/08/26 18:13:09 - mmengine - INFO - Epoch(train) [140][70/125] lr: 8.0000e-04 eta: 0:17:36 time: 0.3739 data_time: 0.0962 memory: 6476 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0100 loss_cls: 0.0772 acc: 96.9238 loss_bbox: 0.1128 loss_mask: 0.1978 loss: 0.4073 2022/08/26 18:13:11 - mmengine - INFO - Epoch(train) [140][75/125] lr: 8.0000e-04 eta: 0:17:36 time: 0.4537 data_time: 0.1480 memory: 6177 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0101 loss_cls: 0.0702 acc: 97.7783 loss_bbox: 0.1023 loss_mask: 0.1908 loss: 0.3824 2022/08/26 18:13:13 - mmengine - INFO - Epoch(train) [140][80/125] lr: 8.0000e-04 eta: 0:17:32 time: 0.4215 data_time: 0.1227 memory: 6437 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0083 loss_cls: 0.0668 acc: 98.3643 loss_bbox: 0.0974 loss_mask: 0.1812 loss: 0.3588 2022/08/26 18:13:14 - mmengine - INFO - Epoch(train) [140][85/125] lr: 8.0000e-04 eta: 0:17:32 time: 0.3436 data_time: 0.0702 memory: 6366 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0073 loss_cls: 0.0660 acc: 97.2168 loss_bbox: 0.0995 loss_mask: 0.1875 loss: 0.3651 2022/08/26 18:13:18 - mmengine - INFO - Epoch(train) [140][90/125] lr: 8.0000e-04 eta: 0:17:28 time: 0.4855 data_time: 0.2153 memory: 6444 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0081 loss_cls: 0.0701 acc: 96.2891 loss_bbox: 0.1080 loss_mask: 0.1896 loss: 0.3811 2022/08/26 18:13:19 - mmengine - INFO - Epoch(train) [140][95/125] lr: 8.0000e-04 eta: 0:17:28 time: 0.4896 data_time: 0.2216 memory: 6662 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0096 loss_cls: 0.0845 acc: 95.8740 loss_bbox: 0.1296 loss_mask: 0.1983 loss: 0.4286 2022/08/26 18:13:21 - mmengine - INFO - Epoch(train) [140][100/125] lr: 8.0000e-04 eta: 0:17:24 time: 0.3540 data_time: 0.0860 memory: 6613 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0084 loss_cls: 0.0746 acc: 96.0693 loss_bbox: 0.1164 loss_mask: 0.2014 loss: 0.4064 2022/08/26 18:13:23 - mmengine - INFO - Epoch(train) [140][105/125] lr: 8.0000e-04 eta: 0:17:24 time: 0.3642 data_time: 0.0951 memory: 6528 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0087 loss_cls: 0.0705 acc: 98.2910 loss_bbox: 0.1091 loss_mask: 0.1949 loss: 0.3893 2022/08/26 18:13:25 - mmengine - INFO - Epoch(train) [140][110/125] lr: 8.0000e-04 eta: 0:17:20 time: 0.3526 data_time: 0.0775 memory: 6212 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0096 loss_cls: 0.0800 acc: 98.0957 loss_bbox: 0.1211 loss_mask: 0.2121 loss: 0.4299 2022/08/26 18:13:27 - mmengine - INFO - Epoch(train) [140][115/125] lr: 8.0000e-04 eta: 0:17:20 time: 0.3527 data_time: 0.0774 memory: 6403 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0088 loss_cls: 0.0805 acc: 96.2646 loss_bbox: 0.1219 loss_mask: 0.2085 loss: 0.4271 2022/08/26 18:13:28 - mmengine - INFO - Epoch(train) [140][120/125] lr: 8.0000e-04 eta: 0:17:16 time: 0.3455 data_time: 0.0777 memory: 6418 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0080 loss_cls: 0.0756 acc: 97.6074 loss_bbox: 0.1110 loss_mask: 0.1873 loss: 0.3882 2022/08/26 18:13:30 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:13:30 - mmengine - INFO - Epoch(train) [140][125/125] lr: 8.0000e-04 eta: 0:17:16 time: 0.3284 data_time: 0.0618 memory: 6705 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0099 loss_cls: 0.0769 acc: 97.2168 loss_bbox: 0.1192 loss_mask: 0.1972 loss: 0.4086 2022/08/26 18:13:30 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/26 18:13:38 - mmengine - INFO - Epoch(val) [140][5/500] eta: 0:17:16 time: 0.1427 data_time: 0.0158 memory: 1506 2022/08/26 18:13:39 - mmengine - INFO - Epoch(val) [140][10/500] eta: 0:01:17 time: 0.1586 data_time: 0.0171 memory: 1522 2022/08/26 18:13:39 - mmengine - INFO - Epoch(val) [140][15/500] eta: 0:01:17 time: 0.0858 data_time: 0.0053 memory: 1472 2022/08/26 18:13:40 - mmengine - INFO - Epoch(val) [140][20/500] eta: 0:00:34 time: 0.0710 data_time: 0.0020 memory: 1320 2022/08/26 18:13:40 - mmengine - INFO - Epoch(val) [140][25/500] eta: 0:00:34 time: 0.0626 data_time: 0.0018 memory: 1320 2022/08/26 18:13:40 - mmengine - INFO - Epoch(val) [140][30/500] eta: 0:00:28 time: 0.0604 data_time: 0.0018 memory: 1320 2022/08/26 18:13:41 - mmengine - INFO - Epoch(val) [140][35/500] eta: 0:00:28 time: 0.0686 data_time: 0.0018 memory: 1320 2022/08/26 18:13:41 - mmengine - INFO - Epoch(val) [140][40/500] eta: 0:00:32 time: 0.0711 data_time: 0.0020 memory: 1337 2022/08/26 18:13:41 - mmengine - INFO - Epoch(val) [140][45/500] eta: 0:00:32 time: 0.0647 data_time: 0.0022 memory: 1522 2022/08/26 18:13:42 - mmengine - INFO - Epoch(val) [140][50/500] eta: 0:00:31 time: 0.0694 data_time: 0.0023 memory: 1370 2022/08/26 18:13:42 - mmengine - INFO - Epoch(val) [140][55/500] eta: 0:00:31 time: 0.0700 data_time: 0.0024 memory: 1354 2022/08/26 18:13:42 - mmengine - INFO - Epoch(val) [140][60/500] eta: 0:00:32 time: 0.0729 data_time: 0.0023 memory: 1320 2022/08/26 18:13:43 - mmengine - INFO - Epoch(val) [140][65/500] eta: 0:00:32 time: 0.0751 data_time: 0.0022 memory: 1370 2022/08/26 18:13:43 - mmengine - INFO - Epoch(val) [140][70/500] eta: 0:00:28 time: 0.0663 data_time: 0.0021 memory: 1522 2022/08/26 18:13:43 - mmengine - INFO - Epoch(val) [140][75/500] eta: 0:00:28 time: 0.0670 data_time: 0.0021 memory: 1387 2022/08/26 18:13:44 - mmengine - INFO - Epoch(val) [140][80/500] eta: 0:00:28 time: 0.0676 data_time: 0.0019 memory: 1320 2022/08/26 18:13:44 - mmengine - INFO - Epoch(val) [140][85/500] eta: 0:00:28 time: 0.0615 data_time: 0.0018 memory: 1320 2022/08/26 18:13:44 - mmengine - INFO - Epoch(val) [140][90/500] eta: 0:00:26 time: 0.0635 data_time: 0.0018 memory: 1522 2022/08/26 18:13:45 - mmengine - INFO - Epoch(val) [140][95/500] eta: 0:00:26 time: 0.0665 data_time: 0.0019 memory: 1337 2022/08/26 18:13:45 - mmengine - INFO - Epoch(val) [140][100/500] eta: 0:00:25 time: 0.0641 data_time: 0.0020 memory: 1506 2022/08/26 18:13:45 - mmengine - INFO - Epoch(val) [140][105/500] eta: 0:00:25 time: 0.0672 data_time: 0.0024 memory: 1320 2022/08/26 18:13:46 - mmengine - INFO - Epoch(val) [140][110/500] eta: 0:00:26 time: 0.0679 data_time: 0.0025 memory: 1522 2022/08/26 18:13:46 - mmengine - INFO - Epoch(val) [140][115/500] eta: 0:00:26 time: 0.0647 data_time: 0.0023 memory: 1320 2022/08/26 18:13:46 - mmengine - INFO - Epoch(val) [140][120/500] eta: 0:00:27 time: 0.0718 data_time: 0.0022 memory: 1320 2022/08/26 18:13:47 - mmengine - INFO - Epoch(val) [140][125/500] eta: 0:00:27 time: 0.0847 data_time: 0.0022 memory: 1522 2022/08/26 18:13:47 - mmengine - INFO - Epoch(val) [140][130/500] eta: 0:00:28 time: 0.0759 data_time: 0.0020 memory: 1320 2022/08/26 18:13:48 - mmengine - INFO - Epoch(val) [140][135/500] eta: 0:00:28 time: 0.0656 data_time: 0.0019 memory: 1387 2022/08/26 18:13:48 - mmengine - INFO - Epoch(val) [140][140/500] eta: 0:00:26 time: 0.0725 data_time: 0.0022 memory: 1320 2022/08/26 18:13:48 - mmengine - INFO - Epoch(val) [140][145/500] eta: 0:00:26 time: 0.0679 data_time: 0.0023 memory: 1506 2022/08/26 18:13:49 - mmengine - INFO - Epoch(val) [140][150/500] eta: 0:00:22 time: 0.0644 data_time: 0.0021 memory: 1320 2022/08/26 18:13:49 - mmengine - INFO - Epoch(val) [140][155/500] eta: 0:00:22 time: 0.0704 data_time: 0.0040 memory: 1454 2022/08/26 18:13:49 - mmengine - INFO - Epoch(val) [140][160/500] eta: 0:00:23 time: 0.0690 data_time: 0.0041 memory: 1522 2022/08/26 18:13:50 - mmengine - INFO - Epoch(val) [140][165/500] eta: 0:00:23 time: 0.0666 data_time: 0.0024 memory: 1354 2022/08/26 18:13:50 - mmengine - INFO - Epoch(val) [140][170/500] eta: 0:00:21 time: 0.0665 data_time: 0.0024 memory: 1472 2022/08/26 18:13:50 - mmengine - INFO - Epoch(val) [140][175/500] eta: 0:00:21 time: 0.0650 data_time: 0.0023 memory: 1522 2022/08/26 18:13:51 - mmengine - INFO - Epoch(val) [140][180/500] eta: 0:00:22 time: 0.0693 data_time: 0.0025 memory: 1522 2022/08/26 18:13:52 - mmengine - INFO - Epoch(val) [140][185/500] eta: 0:00:22 time: 0.1543 data_time: 0.0203 memory: 1320 2022/08/26 18:13:52 - mmengine - INFO - Epoch(val) [140][190/500] eta: 0:00:46 time: 0.1513 data_time: 0.0210 memory: 1370 2022/08/26 18:13:52 - mmengine - INFO - Epoch(val) [140][195/500] eta: 0:00:46 time: 0.0635 data_time: 0.0031 memory: 1354 2022/08/26 18:13:53 - mmengine - INFO - Epoch(val) [140][200/500] eta: 0:00:18 time: 0.0627 data_time: 0.0024 memory: 1354 2022/08/26 18:13:53 - mmengine - INFO - Epoch(val) [140][205/500] eta: 0:00:18 time: 0.0662 data_time: 0.0024 memory: 1320 2022/08/26 18:13:53 - mmengine - INFO - Epoch(val) [140][210/500] eta: 0:00:19 time: 0.0687 data_time: 0.0022 memory: 1522 2022/08/26 18:13:54 - mmengine - INFO - Epoch(val) [140][215/500] eta: 0:00:19 time: 0.0663 data_time: 0.0021 memory: 1320 2022/08/26 18:13:54 - mmengine - INFO - Epoch(val) [140][220/500] eta: 0:00:17 time: 0.0625 data_time: 0.0020 memory: 1387 2022/08/26 18:13:54 - mmengine - INFO - Epoch(val) [140][225/500] eta: 0:00:17 time: 0.0671 data_time: 0.0021 memory: 1522 2022/08/26 18:13:55 - mmengine - INFO - Epoch(val) [140][230/500] eta: 0:00:22 time: 0.0817 data_time: 0.0021 memory: 1320 2022/08/26 18:13:55 - mmengine - INFO - Epoch(val) [140][235/500] eta: 0:00:22 time: 0.0810 data_time: 0.0021 memory: 1522 2022/08/26 18:13:56 - mmengine - INFO - Epoch(val) [140][240/500] eta: 0:00:18 time: 0.0710 data_time: 0.0023 memory: 1522 2022/08/26 18:13:56 - mmengine - INFO - Epoch(val) [140][245/500] eta: 0:00:18 time: 0.0679 data_time: 0.0023 memory: 1522 2022/08/26 18:13:56 - mmengine - INFO - Epoch(val) [140][250/500] eta: 0:00:16 time: 0.0650 data_time: 0.0022 memory: 1320 2022/08/26 18:13:57 - mmengine - INFO - Epoch(val) [140][255/500] eta: 0:00:16 time: 0.1060 data_time: 0.0022 memory: 1337 2022/08/26 18:13:57 - mmengine - INFO - Epoch(val) [140][260/500] eta: 0:00:24 time: 0.1020 data_time: 0.0022 memory: 1320 2022/08/26 18:13:58 - mmengine - INFO - Epoch(val) [140][265/500] eta: 0:00:24 time: 0.0610 data_time: 0.0021 memory: 1472 2022/08/26 18:13:58 - mmengine - INFO - Epoch(val) [140][270/500] eta: 0:00:14 time: 0.0631 data_time: 0.0021 memory: 1438 2022/08/26 18:13:58 - mmengine - INFO - Epoch(val) [140][275/500] eta: 0:00:14 time: 0.0667 data_time: 0.0021 memory: 1506 2022/08/26 18:13:59 - mmengine - INFO - Epoch(val) [140][280/500] eta: 0:00:14 time: 0.0656 data_time: 0.0022 memory: 1489 2022/08/26 18:13:59 - mmengine - INFO - Epoch(val) [140][285/500] eta: 0:00:14 time: 0.0636 data_time: 0.0023 memory: 1320 2022/08/26 18:13:59 - mmengine - INFO - Epoch(val) [140][290/500] eta: 0:00:15 time: 0.0718 data_time: 0.0024 memory: 1522 2022/08/26 18:14:00 - mmengine - INFO - Epoch(val) [140][295/500] eta: 0:00:15 time: 0.0705 data_time: 0.0026 memory: 1370 2022/08/26 18:14:00 - mmengine - INFO - Epoch(val) [140][300/500] eta: 0:00:13 time: 0.0669 data_time: 0.0027 memory: 1320 2022/08/26 18:14:00 - mmengine - INFO - Epoch(val) [140][305/500] eta: 0:00:13 time: 0.0616 data_time: 0.0024 memory: 1303 2022/08/26 18:14:00 - mmengine - INFO - Epoch(val) [140][310/500] eta: 0:00:10 time: 0.0565 data_time: 0.0020 memory: 1354 2022/08/26 18:14:01 - mmengine - INFO - Epoch(val) [140][315/500] eta: 0:00:10 time: 0.0656 data_time: 0.0021 memory: 1472 2022/08/26 18:14:01 - mmengine - INFO - Epoch(val) [140][320/500] eta: 0:00:13 time: 0.0726 data_time: 0.0021 memory: 1472 2022/08/26 18:14:02 - mmengine - INFO - Epoch(val) [140][325/500] eta: 0:00:13 time: 0.0709 data_time: 0.0020 memory: 1522 2022/08/26 18:14:02 - mmengine - INFO - Epoch(val) [140][330/500] eta: 0:00:11 time: 0.0697 data_time: 0.0021 memory: 1320 2022/08/26 18:14:02 - mmengine - INFO - Epoch(val) [140][335/500] eta: 0:00:11 time: 0.0687 data_time: 0.0022 memory: 1438 2022/08/26 18:14:03 - mmengine - INFO - Epoch(val) [140][340/500] eta: 0:00:11 time: 0.0694 data_time: 0.0023 memory: 1506 2022/08/26 18:14:03 - mmengine - INFO - Epoch(val) [140][345/500] eta: 0:00:11 time: 0.0656 data_time: 0.0024 memory: 1438 2022/08/26 18:14:03 - mmengine - INFO - Epoch(val) [140][350/500] eta: 0:00:10 time: 0.0688 data_time: 0.0023 memory: 1320 2022/08/26 18:14:04 - mmengine - INFO - Epoch(val) [140][355/500] eta: 0:00:10 time: 0.0789 data_time: 0.0023 memory: 1506 2022/08/26 18:14:04 - mmengine - INFO - Epoch(val) [140][360/500] eta: 0:00:09 time: 0.0691 data_time: 0.0022 memory: 1337 2022/08/26 18:14:04 - mmengine - INFO - Epoch(val) [140][365/500] eta: 0:00:09 time: 0.0600 data_time: 0.0018 memory: 1252 2022/08/26 18:14:05 - mmengine - INFO - Epoch(val) [140][370/500] eta: 0:00:07 time: 0.0597 data_time: 0.0019 memory: 1387 2022/08/26 18:14:05 - mmengine - INFO - Epoch(val) [140][375/500] eta: 0:00:07 time: 0.0556 data_time: 0.0020 memory: 1320 2022/08/26 18:14:05 - mmengine - INFO - Epoch(val) [140][380/500] eta: 0:00:07 time: 0.0644 data_time: 0.0019 memory: 1506 2022/08/26 18:14:06 - mmengine - INFO - Epoch(val) [140][385/500] eta: 0:00:07 time: 0.0709 data_time: 0.0021 memory: 1489 2022/08/26 18:14:06 - mmengine - INFO - Epoch(val) [140][390/500] eta: 0:00:07 time: 0.0695 data_time: 0.0023 memory: 1522 2022/08/26 18:14:06 - mmengine - INFO - Epoch(val) [140][395/500] eta: 0:00:07 time: 0.0903 data_time: 0.0023 memory: 1320 2022/08/26 18:14:07 - mmengine - INFO - Epoch(val) [140][400/500] eta: 0:00:09 time: 0.0935 data_time: 0.0022 memory: 1506 2022/08/26 18:14:07 - mmengine - INFO - Epoch(val) [140][405/500] eta: 0:00:09 time: 0.0709 data_time: 0.0022 memory: 1489 2022/08/26 18:14:08 - mmengine - INFO - Epoch(val) [140][410/500] eta: 0:00:05 time: 0.0650 data_time: 0.0021 memory: 1387 2022/08/26 18:14:08 - mmengine - INFO - Epoch(val) [140][415/500] eta: 0:00:05 time: 0.0717 data_time: 0.0019 memory: 1320 2022/08/26 18:14:08 - mmengine - INFO - Epoch(val) [140][420/500] eta: 0:00:06 time: 0.0807 data_time: 0.0020 memory: 1489 2022/08/26 18:14:09 - mmengine - INFO - Epoch(val) [140][425/500] eta: 0:00:06 time: 0.0772 data_time: 0.0021 memory: 1320 2022/08/26 18:14:09 - mmengine - INFO - Epoch(val) [140][430/500] eta: 0:00:04 time: 0.0665 data_time: 0.0021 memory: 1522 2022/08/26 18:14:09 - mmengine - INFO - Epoch(val) [140][435/500] eta: 0:00:04 time: 0.0712 data_time: 0.0023 memory: 1320 2022/08/26 18:14:10 - mmengine - INFO - Epoch(val) [140][440/500] eta: 0:00:04 time: 0.0720 data_time: 0.0025 memory: 1404 2022/08/26 18:14:10 - mmengine - INFO - Epoch(val) [140][445/500] eta: 0:00:04 time: 0.0662 data_time: 0.0024 memory: 1472 2022/08/26 18:14:10 - mmengine - INFO - Epoch(val) [140][450/500] eta: 0:00:03 time: 0.0654 data_time: 0.0022 memory: 1320 2022/08/26 18:14:11 - mmengine - INFO - Epoch(val) [140][455/500] eta: 0:00:03 time: 0.0650 data_time: 0.0021 memory: 1522 2022/08/26 18:14:12 - mmengine - INFO - Epoch(val) [140][460/500] eta: 0:00:06 time: 0.1502 data_time: 0.0258 memory: 1354 2022/08/26 18:14:12 - mmengine - INFO - Epoch(val) [140][465/500] eta: 0:00:06 time: 0.1496 data_time: 0.0268 memory: 1454 2022/08/26 18:14:12 - mmengine - INFO - Epoch(val) [140][470/500] eta: 0:00:01 time: 0.0619 data_time: 0.0031 memory: 1354 2022/08/26 18:14:13 - mmengine - INFO - Epoch(val) [140][475/500] eta: 0:00:01 time: 0.0651 data_time: 0.0023 memory: 1522 2022/08/26 18:14:13 - mmengine - INFO - Epoch(val) [140][480/500] eta: 0:00:01 time: 0.0685 data_time: 0.0025 memory: 1489 2022/08/26 18:14:13 - mmengine - INFO - Epoch(val) [140][485/500] eta: 0:00:01 time: 0.0643 data_time: 0.0025 memory: 1320 2022/08/26 18:14:14 - mmengine - INFO - Epoch(val) [140][490/500] eta: 0:00:00 time: 0.0618 data_time: 0.0024 memory: 1454 2022/08/26 18:14:14 - mmengine - INFO - Epoch(val) [140][495/500] eta: 0:00:00 time: 0.0656 data_time: 0.0025 memory: 1522 2022/08/26 18:14:14 - mmengine - INFO - Epoch(val) [140][500/500] eta: 0:00:00 time: 0.0650 data_time: 0.0024 memory: 1320 2022/08/26 18:14:14 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 18:14:14 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8813, precision: 0.4921, hmean: 0.6316 2022/08/26 18:14:14 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8754, precision: 0.5329, hmean: 0.6625 2022/08/26 18:14:14 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8693, precision: 0.5674, hmean: 0.6866 2022/08/26 18:14:14 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8553, precision: 0.6065, hmean: 0.7098 2022/08/26 18:14:14 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8426, precision: 0.6321, hmean: 0.7223 2022/08/26 18:14:14 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8205, precision: 0.6703, hmean: 0.7378 2022/08/26 18:14:14 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7720, precision: 0.7200, hmean: 0.7451 2022/08/26 18:14:14 - mmengine - INFO - Epoch(val) [140][500/500] icdar/precision: 0.7200 icdar/recall: 0.7720 icdar/hmean: 0.7451 2022/08/26 18:14:18 - mmengine - INFO - Epoch(train) [141][5/125] lr: 8.0000e-04 eta: 0:00:00 time: 0.4510 data_time: 0.1633 memory: 6522 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0109 loss_cls: 0.0853 acc: 95.7764 loss_bbox: 0.1306 loss_mask: 0.2014 loss: 0.4355 2022/08/26 18:14:20 - mmengine - INFO - Epoch(train) [141][10/125] lr: 8.0000e-04 eta: 0:17:09 time: 0.4849 data_time: 0.1958 memory: 6970 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0094 loss_cls: 0.0854 acc: 97.5098 loss_bbox: 0.1245 loss_mask: 0.1859 loss: 0.4138 2022/08/26 18:14:21 - mmengine - INFO - Epoch(train) [141][15/125] lr: 8.0000e-04 eta: 0:17:09 time: 0.3581 data_time: 0.0844 memory: 6633 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0094 loss_cls: 0.0880 acc: 96.1670 loss_bbox: 0.1300 loss_mask: 0.1897 loss: 0.4257 2022/08/26 18:14:23 - mmengine - INFO - Epoch(train) [141][20/125] lr: 8.0000e-04 eta: 0:17:05 time: 0.3353 data_time: 0.0587 memory: 6392 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0111 loss_cls: 0.0857 acc: 95.8984 loss_bbox: 0.1239 loss_mask: 0.2011 loss: 0.4297 2022/08/26 18:14:24 - mmengine - INFO - Epoch(train) [141][25/125] lr: 8.0000e-04 eta: 0:17:05 time: 0.3221 data_time: 0.0507 memory: 6357 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0105 loss_cls: 0.0821 acc: 97.2412 loss_bbox: 0.1104 loss_mask: 0.2124 loss: 0.4238 2022/08/26 18:14:26 - mmengine - INFO - Epoch(train) [141][30/125] lr: 8.0000e-04 eta: 0:17:01 time: 0.3484 data_time: 0.0788 memory: 6393 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0086 loss_cls: 0.0788 acc: 98.7793 loss_bbox: 0.1069 loss_mask: 0.2024 loss: 0.4035 2022/08/26 18:14:28 - mmengine - INFO - Epoch(train) [141][35/125] lr: 8.0000e-04 eta: 0:17:01 time: 0.3895 data_time: 0.1127 memory: 6884 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0091 loss_cls: 0.0813 acc: 97.4854 loss_bbox: 0.1249 loss_mask: 0.1875 loss: 0.4112 2022/08/26 18:14:30 - mmengine - INFO - Epoch(train) [141][40/125] lr: 8.0000e-04 eta: 0:16:56 time: 0.3491 data_time: 0.0782 memory: 6095 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0078 loss_cls: 0.0767 acc: 96.9727 loss_bbox: 0.1149 loss_mask: 0.1906 loss: 0.3979 2022/08/26 18:14:33 - mmengine - INFO - Epoch(train) [141][45/125] lr: 8.0000e-04 eta: 0:16:56 time: 0.4544 data_time: 0.0630 memory: 6581 loss_rpn_cls: 0.0039 loss_rpn_bbox: 0.0076 loss_cls: 0.0646 acc: 97.7295 loss_bbox: 0.0994 loss_mask: 0.1902 loss: 0.3657 2022/08/26 18:14:35 - mmengine - INFO - Epoch(train) [141][50/125] lr: 8.0000e-04 eta: 0:16:52 time: 0.4747 data_time: 0.0731 memory: 6754 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0104 loss_cls: 0.0773 acc: 95.7520 loss_bbox: 0.1206 loss_mask: 0.1970 loss: 0.4102 2022/08/26 18:14:37 - mmengine - INFO - Epoch(train) [141][55/125] lr: 8.0000e-04 eta: 0:16:52 time: 0.3677 data_time: 0.0843 memory: 6320 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0108 loss_cls: 0.0833 acc: 95.8984 loss_bbox: 0.1295 loss_mask: 0.1910 loss: 0.4197 2022/08/26 18:14:38 - mmengine - INFO - Epoch(train) [141][60/125] lr: 8.0000e-04 eta: 0:16:48 time: 0.3842 data_time: 0.1003 memory: 6646 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0103 loss_cls: 0.0753 acc: 98.2910 loss_bbox: 0.1275 loss_mask: 0.1830 loss: 0.4006 2022/08/26 18:14:41 - mmengine - INFO - Epoch(train) [141][65/125] lr: 8.0000e-04 eta: 0:16:48 time: 0.4447 data_time: 0.1637 memory: 6607 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0096 loss_cls: 0.0739 acc: 95.8496 loss_bbox: 0.1185 loss_mask: 0.1785 loss: 0.3848 2022/08/26 18:14:43 - mmengine - INFO - Epoch(train) [141][70/125] lr: 8.0000e-04 eta: 0:16:44 time: 0.4205 data_time: 0.1433 memory: 6842 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0104 loss_cls: 0.0754 acc: 96.3623 loss_bbox: 0.1182 loss_mask: 0.1812 loss: 0.3918 2022/08/26 18:14:45 - mmengine - INFO - Epoch(train) [141][75/125] lr: 8.0000e-04 eta: 0:16:44 time: 0.3574 data_time: 0.0569 memory: 7911 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0129 loss_cls: 0.0789 acc: 97.5586 loss_bbox: 0.1296 loss_mask: 0.1851 loss: 0.4139 2022/08/26 18:14:47 - mmengine - INFO - Epoch(train) [141][80/125] lr: 8.0000e-04 eta: 0:16:40 time: 0.3944 data_time: 0.0876 memory: 6689 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0128 loss_cls: 0.0918 acc: 95.4346 loss_bbox: 0.1480 loss_mask: 0.1857 loss: 0.4440 2022/08/26 18:14:48 - mmengine - INFO - Epoch(train) [141][85/125] lr: 8.0000e-04 eta: 0:16:40 time: 0.3670 data_time: 0.0893 memory: 6503 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0121 loss_cls: 0.0864 acc: 99.5361 loss_bbox: 0.1327 loss_mask: 0.1972 loss: 0.4337 2022/08/26 18:14:50 - mmengine - INFO - Epoch(train) [141][90/125] lr: 8.0000e-04 eta: 0:16:36 time: 0.3761 data_time: 0.1011 memory: 6425 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0120 loss_cls: 0.0768 acc: 96.4111 loss_bbox: 0.1128 loss_mask: 0.1969 loss: 0.4050 2022/08/26 18:14:53 - mmengine - INFO - Epoch(train) [141][95/125] lr: 8.0000e-04 eta: 0:16:36 time: 0.4212 data_time: 0.0972 memory: 6334 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0097 loss_cls: 0.0755 acc: 98.6328 loss_bbox: 0.1108 loss_mask: 0.1907 loss: 0.3928 2022/08/26 18:14:54 - mmengine - INFO - Epoch(train) [141][100/125] lr: 8.0000e-04 eta: 0:16:32 time: 0.3860 data_time: 0.0654 memory: 6193 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0072 loss_cls: 0.0714 acc: 96.7773 loss_bbox: 0.1044 loss_mask: 0.2046 loss: 0.3927 2022/08/26 18:14:56 - mmengine - INFO - Epoch(train) [141][105/125] lr: 8.0000e-04 eta: 0:16:32 time: 0.3531 data_time: 0.0734 memory: 6865 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0087 loss_cls: 0.0893 acc: 97.5586 loss_bbox: 0.1307 loss_mask: 0.2122 loss: 0.4474 2022/08/26 18:14:58 - mmengine - INFO - Epoch(train) [141][110/125] lr: 8.0000e-04 eta: 0:16:27 time: 0.3841 data_time: 0.0924 memory: 6366 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0108 loss_cls: 0.0938 acc: 96.6309 loss_bbox: 0.1413 loss_mask: 0.2060 loss: 0.4579 2022/08/26 18:15:02 - mmengine - INFO - Epoch(train) [141][115/125] lr: 8.0000e-04 eta: 0:16:27 time: 0.5874 data_time: 0.3004 memory: 6509 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0102 loss_cls: 0.0776 acc: 97.6074 loss_bbox: 0.1218 loss_mask: 0.1963 loss: 0.4117 2022/08/26 18:15:03 - mmengine - INFO - Epoch(train) [141][120/125] lr: 8.0000e-04 eta: 0:16:23 time: 0.5392 data_time: 0.2682 memory: 6235 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0100 loss_cls: 0.0681 acc: 97.2412 loss_bbox: 0.1034 loss_mask: 0.1856 loss: 0.3732 2022/08/26 18:15:05 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:15:05 - mmengine - INFO - Epoch(train) [141][125/125] lr: 8.0000e-04 eta: 0:16:23 time: 0.3076 data_time: 0.0364 memory: 6578 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0106 loss_cls: 0.0718 acc: 97.4365 loss_bbox: 0.1072 loss_mask: 0.1875 loss: 0.3828 2022/08/26 18:15:07 - mmengine - INFO - Epoch(train) [142][5/125] lr: 8.0000e-04 eta: 0:16:23 time: 0.3720 data_time: 0.0938 memory: 6957 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0104 loss_cls: 0.0800 acc: 97.2412 loss_bbox: 0.1253 loss_mask: 0.1937 loss: 0.4161 2022/08/26 18:15:10 - mmengine - INFO - Epoch(train) [142][10/125] lr: 8.0000e-04 eta: 0:16:17 time: 0.5056 data_time: 0.2234 memory: 6820 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0106 loss_cls: 0.0832 acc: 97.7783 loss_bbox: 0.1317 loss_mask: 0.1817 loss: 0.4136 2022/08/26 18:15:13 - mmengine - INFO - Epoch(train) [142][15/125] lr: 8.0000e-04 eta: 0:16:17 time: 0.6044 data_time: 0.1814 memory: 6437 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0089 loss_cls: 0.0734 acc: 96.7773 loss_bbox: 0.1135 loss_mask: 0.1825 loss: 0.3827 2022/08/26 18:15:15 - mmengine - INFO - Epoch(train) [142][20/125] lr: 8.0000e-04 eta: 0:16:13 time: 0.4787 data_time: 0.0594 memory: 6317 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0090 loss_cls: 0.0709 acc: 96.2402 loss_bbox: 0.1078 loss_mask: 0.2002 loss: 0.3941 2022/08/26 18:15:17 - mmengine - INFO - Epoch(train) [142][25/125] lr: 8.0000e-04 eta: 0:16:13 time: 0.3300 data_time: 0.0560 memory: 6218 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0099 loss_cls: 0.0784 acc: 97.0459 loss_bbox: 0.1166 loss_mask: 0.2044 loss: 0.4163 2022/08/26 18:15:19 - mmengine - INFO - Epoch(train) [142][30/125] lr: 8.0000e-04 eta: 0:16:09 time: 0.3618 data_time: 0.0866 memory: 6871 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0098 loss_cls: 0.0796 acc: 97.9248 loss_bbox: 0.1157 loss_mask: 0.1926 loss: 0.4040 2022/08/26 18:15:22 - mmengine - INFO - Epoch(train) [142][35/125] lr: 8.0000e-04 eta: 0:16:09 time: 0.4905 data_time: 0.2046 memory: 6640 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0112 loss_cls: 0.0961 acc: 93.7744 loss_bbox: 0.1354 loss_mask: 0.2017 loss: 0.4525 2022/08/26 18:15:24 - mmengine - INFO - Epoch(train) [142][40/125] lr: 8.0000e-04 eta: 0:16:05 time: 0.5726 data_time: 0.2864 memory: 6418 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0099 loss_cls: 0.0973 acc: 97.2168 loss_bbox: 0.1454 loss_mask: 0.2216 loss: 0.4824 2022/08/26 18:15:26 - mmengine - INFO - Epoch(train) [142][45/125] lr: 8.0000e-04 eta: 0:16:05 time: 0.4439 data_time: 0.1642 memory: 6392 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0089 loss_cls: 0.0827 acc: 95.9473 loss_bbox: 0.1265 loss_mask: 0.1978 loss: 0.4226 2022/08/26 18:15:28 - mmengine - INFO - Epoch(train) [142][50/125] lr: 8.0000e-04 eta: 0:16:01 time: 0.4125 data_time: 0.1383 memory: 6917 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0090 loss_cls: 0.0773 acc: 97.9248 loss_bbox: 0.1140 loss_mask: 0.1806 loss: 0.3859 2022/08/26 18:15:31 - mmengine - INFO - Epoch(train) [142][55/125] lr: 8.0000e-04 eta: 0:16:01 time: 0.4731 data_time: 0.2035 memory: 6618 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0085 loss_cls: 0.0753 acc: 96.4355 loss_bbox: 0.1174 loss_mask: 0.1894 loss: 0.3955 2022/08/26 18:15:33 - mmengine - INFO - Epoch(train) [142][60/125] lr: 8.0000e-04 eta: 0:15:57 time: 0.4830 data_time: 0.1440 memory: 6512 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0097 loss_cls: 0.0761 acc: 95.1904 loss_bbox: 0.1143 loss_mask: 0.1932 loss: 0.3983 2022/08/26 18:15:35 - mmengine - INFO - Epoch(train) [142][65/125] lr: 8.0000e-04 eta: 0:15:57 time: 0.4213 data_time: 0.0809 memory: 6401 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0109 loss_cls: 0.0756 acc: 97.7539 loss_bbox: 0.1099 loss_mask: 0.1893 loss: 0.3909 2022/08/26 18:15:37 - mmengine - INFO - Epoch(train) [142][70/125] lr: 8.0000e-04 eta: 0:15:52 time: 0.3390 data_time: 0.0694 memory: 6356 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0081 loss_cls: 0.0751 acc: 97.3633 loss_bbox: 0.1068 loss_mask: 0.1864 loss: 0.3815 2022/08/26 18:15:38 - mmengine - INFO - Epoch(train) [142][75/125] lr: 8.0000e-04 eta: 0:15:52 time: 0.3397 data_time: 0.0626 memory: 6605 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0106 loss_cls: 0.0900 acc: 95.9473 loss_bbox: 0.1270 loss_mask: 0.1920 loss: 0.4302 2022/08/26 18:15:40 - mmengine - INFO - Epoch(train) [142][80/125] lr: 8.0000e-04 eta: 0:15:48 time: 0.3331 data_time: 0.0530 memory: 6362 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0127 loss_cls: 0.0947 acc: 97.7051 loss_bbox: 0.1377 loss_mask: 0.2058 loss: 0.4629 2022/08/26 18:15:42 - mmengine - INFO - Epoch(train) [142][85/125] lr: 8.0000e-04 eta: 0:15:48 time: 0.3520 data_time: 0.0804 memory: 6544 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0098 loss_cls: 0.0837 acc: 95.3369 loss_bbox: 0.1240 loss_mask: 0.2067 loss: 0.4319 2022/08/26 18:15:44 - mmengine - INFO - Epoch(train) [142][90/125] lr: 8.0000e-04 eta: 0:15:44 time: 0.3741 data_time: 0.1031 memory: 6525 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0097 loss_cls: 0.0842 acc: 96.6797 loss_bbox: 0.1288 loss_mask: 0.2000 loss: 0.4291 2022/08/26 18:15:46 - mmengine - INFO - Epoch(train) [142][95/125] lr: 8.0000e-04 eta: 0:15:44 time: 0.3723 data_time: 0.1001 memory: 6386 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0100 loss_cls: 0.0822 acc: 98.6572 loss_bbox: 0.1291 loss_mask: 0.2035 loss: 0.4309 2022/08/26 18:15:49 - mmengine - INFO - Epoch(train) [142][100/125] lr: 8.0000e-04 eta: 0:15:40 time: 0.5028 data_time: 0.2294 memory: 6366 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0097 loss_cls: 0.0719 acc: 97.2900 loss_bbox: 0.1165 loss_mask: 0.2012 loss: 0.4047 2022/08/26 18:15:50 - mmengine - INFO - Epoch(train) [142][105/125] lr: 8.0000e-04 eta: 0:15:40 time: 0.4829 data_time: 0.2132 memory: 6659 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0082 loss_cls: 0.0680 acc: 98.2666 loss_bbox: 0.1059 loss_mask: 0.2036 loss: 0.3911 2022/08/26 18:15:53 - mmengine - INFO - Epoch(train) [142][110/125] lr: 8.0000e-04 eta: 0:15:36 time: 0.4315 data_time: 0.0835 memory: 6911 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0091 loss_cls: 0.0655 acc: 98.9014 loss_bbox: 0.0995 loss_mask: 0.1884 loss: 0.3693 2022/08/26 18:15:55 - mmengine - INFO - Epoch(train) [142][115/125] lr: 8.0000e-04 eta: 0:15:36 time: 0.4826 data_time: 0.1339 memory: 6292 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0102 loss_cls: 0.0667 acc: 96.5332 loss_bbox: 0.0987 loss_mask: 0.1880 loss: 0.3690 2022/08/26 18:15:57 - mmengine - INFO - Epoch(train) [142][120/125] lr: 8.0000e-04 eta: 0:15:32 time: 0.3992 data_time: 0.1313 memory: 6344 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0091 loss_cls: 0.0747 acc: 95.9961 loss_bbox: 0.1068 loss_mask: 0.2080 loss: 0.4042 2022/08/26 18:15:59 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:15:59 - mmengine - INFO - Epoch(train) [142][125/125] lr: 8.0000e-04 eta: 0:15:32 time: 0.3325 data_time: 0.0649 memory: 6313 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0076 loss_cls: 0.0710 acc: 97.3633 loss_bbox: 0.1062 loss_mask: 0.1978 loss: 0.3906 2022/08/26 18:16:02 - mmengine - INFO - Epoch(train) [143][5/125] lr: 8.0000e-04 eta: 0:15:32 time: 0.5360 data_time: 0.1988 memory: 6360 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0066 loss_cls: 0.0693 acc: 98.2666 loss_bbox: 0.1019 loss_mask: 0.1891 loss: 0.3755 2022/08/26 18:16:04 - mmengine - INFO - Epoch(train) [143][10/125] lr: 8.0000e-04 eta: 0:15:25 time: 0.5466 data_time: 0.2092 memory: 6415 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0081 loss_cls: 0.0735 acc: 97.7539 loss_bbox: 0.1094 loss_mask: 0.1905 loss: 0.3899 2022/08/26 18:16:06 - mmengine - INFO - Epoch(train) [143][15/125] lr: 8.0000e-04 eta: 0:15:25 time: 0.3651 data_time: 0.0902 memory: 6558 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0103 loss_cls: 0.0827 acc: 96.2158 loss_bbox: 0.1249 loss_mask: 0.2005 loss: 0.4251 2022/08/26 18:16:08 - mmengine - INFO - Epoch(train) [143][20/125] lr: 8.0000e-04 eta: 0:15:21 time: 0.4030 data_time: 0.1293 memory: 6366 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0094 loss_cls: 0.0744 acc: 97.3877 loss_bbox: 0.1084 loss_mask: 0.1958 loss: 0.3933 2022/08/26 18:16:10 - mmengine - INFO - Epoch(train) [143][25/125] lr: 8.0000e-04 eta: 0:15:21 time: 0.4195 data_time: 0.1535 memory: 6153 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0069 loss_cls: 0.0611 acc: 97.7539 loss_bbox: 0.0880 loss_mask: 0.1858 loss: 0.3478 2022/08/26 18:16:13 - mmengine - INFO - Epoch(train) [143][30/125] lr: 8.0000e-04 eta: 0:15:17 time: 0.4559 data_time: 0.1252 memory: 6898 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0102 loss_cls: 0.0787 acc: 95.4590 loss_bbox: 0.1178 loss_mask: 0.1922 loss: 0.4058 2022/08/26 18:16:15 - mmengine - INFO - Epoch(train) [143][35/125] lr: 8.0000e-04 eta: 0:15:17 time: 0.4224 data_time: 0.0829 memory: 6927 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0120 loss_cls: 0.0865 acc: 97.5586 loss_bbox: 0.1358 loss_mask: 0.1887 loss: 0.4294 2022/08/26 18:16:17 - mmengine - INFO - Epoch(train) [143][40/125] lr: 8.0000e-04 eta: 0:15:13 time: 0.4191 data_time: 0.1326 memory: 6773 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0102 loss_cls: 0.0828 acc: 95.6543 loss_bbox: 0.1350 loss_mask: 0.1879 loss: 0.4209 2022/08/26 18:16:19 - mmengine - INFO - Epoch(train) [143][45/125] lr: 8.0000e-04 eta: 0:15:13 time: 0.4293 data_time: 0.1438 memory: 6560 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0108 loss_cls: 0.0870 acc: 97.6562 loss_bbox: 0.1361 loss_mask: 0.1887 loss: 0.4276 2022/08/26 18:16:20 - mmengine - INFO - Epoch(train) [143][50/125] lr: 8.0000e-04 eta: 0:15:09 time: 0.3595 data_time: 0.0834 memory: 6307 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0117 loss_cls: 0.0785 acc: 98.4863 loss_bbox: 0.1155 loss_mask: 0.1869 loss: 0.3988 2022/08/26 18:16:22 - mmengine - INFO - Epoch(train) [143][55/125] lr: 8.0000e-04 eta: 0:15:09 time: 0.3557 data_time: 0.0819 memory: 6522 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0128 loss_cls: 0.0655 acc: 97.3145 loss_bbox: 0.0986 loss_mask: 0.1833 loss: 0.3659 2022/08/26 18:16:24 - mmengine - INFO - Epoch(train) [143][60/125] lr: 8.0000e-04 eta: 0:15:05 time: 0.3655 data_time: 0.0853 memory: 6512 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0122 loss_cls: 0.0711 acc: 97.1436 loss_bbox: 0.1107 loss_mask: 0.1842 loss: 0.3833 2022/08/26 18:16:26 - mmengine - INFO - Epoch(train) [143][65/125] lr: 8.0000e-04 eta: 0:15:05 time: 0.3599 data_time: 0.0745 memory: 6551 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0120 loss_cls: 0.0757 acc: 97.3145 loss_bbox: 0.1233 loss_mask: 0.1890 loss: 0.4052 2022/08/26 18:16:28 - mmengine - INFO - Epoch(train) [143][70/125] lr: 8.0000e-04 eta: 0:15:01 time: 0.3832 data_time: 0.1029 memory: 6699 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0121 loss_cls: 0.0764 acc: 96.4111 loss_bbox: 0.1285 loss_mask: 0.1921 loss: 0.4140 2022/08/26 18:16:30 - mmengine - INFO - Epoch(train) [143][75/125] lr: 8.0000e-04 eta: 0:15:01 time: 0.3707 data_time: 0.0971 memory: 6232 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0093 loss_cls: 0.0764 acc: 97.4609 loss_bbox: 0.1164 loss_mask: 0.1866 loss: 0.3940 2022/08/26 18:16:32 - mmengine - INFO - Epoch(train) [143][80/125] lr: 8.0000e-04 eta: 0:14:56 time: 0.3990 data_time: 0.0926 memory: 6685 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0085 loss_cls: 0.0814 acc: 95.5566 loss_bbox: 0.1170 loss_mask: 0.1983 loss: 0.4128 2022/08/26 18:16:34 - mmengine - INFO - Epoch(train) [143][85/125] lr: 8.0000e-04 eta: 0:14:56 time: 0.4056 data_time: 0.0981 memory: 6532 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0107 loss_cls: 0.0911 acc: 98.1934 loss_bbox: 0.1311 loss_mask: 0.2101 loss: 0.4520 2022/08/26 18:16:36 - mmengine - INFO - Epoch(train) [143][90/125] lr: 8.0000e-04 eta: 0:14:52 time: 0.4410 data_time: 0.1654 memory: 6493 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0114 loss_cls: 0.0875 acc: 96.6553 loss_bbox: 0.1305 loss_mask: 0.1972 loss: 0.4338 2022/08/26 18:16:38 - mmengine - INFO - Epoch(train) [143][95/125] lr: 8.0000e-04 eta: 0:14:52 time: 0.4347 data_time: 0.1635 memory: 6453 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0112 loss_cls: 0.0816 acc: 97.5342 loss_bbox: 0.1211 loss_mask: 0.1942 loss: 0.4137 2022/08/26 18:16:40 - mmengine - INFO - Epoch(train) [143][100/125] lr: 8.0000e-04 eta: 0:14:48 time: 0.3339 data_time: 0.0642 memory: 6532 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0120 loss_cls: 0.0851 acc: 96.6553 loss_bbox: 0.1294 loss_mask: 0.1982 loss: 0.4308 2022/08/26 18:16:42 - mmengine - INFO - Epoch(train) [143][105/125] lr: 8.0000e-04 eta: 0:14:48 time: 0.4202 data_time: 0.1169 memory: 6676 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0137 loss_cls: 0.0861 acc: 97.7051 loss_bbox: 0.1399 loss_mask: 0.1892 loss: 0.4359 2022/08/26 18:16:44 - mmengine - INFO - Epoch(train) [143][110/125] lr: 8.0000e-04 eta: 0:14:44 time: 0.4521 data_time: 0.1456 memory: 6485 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0122 loss_cls: 0.0801 acc: 95.3857 loss_bbox: 0.1194 loss_mask: 0.1830 loss: 0.4028 2022/08/26 18:16:46 - mmengine - INFO - Epoch(train) [143][115/125] lr: 8.0000e-04 eta: 0:14:44 time: 0.3689 data_time: 0.0962 memory: 6495 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0110 loss_cls: 0.0766 acc: 97.3145 loss_bbox: 0.1108 loss_mask: 0.1902 loss: 0.3957 2022/08/26 18:16:49 - mmengine - INFO - Epoch(train) [143][120/125] lr: 8.0000e-04 eta: 0:14:40 time: 0.4365 data_time: 0.1620 memory: 6265 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0102 loss_cls: 0.0729 acc: 96.9482 loss_bbox: 0.1157 loss_mask: 0.1955 loss: 0.4012 2022/08/26 18:16:50 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:16:50 - mmengine - INFO - Epoch(train) [143][125/125] lr: 8.0000e-04 eta: 0:14:40 time: 0.4365 data_time: 0.1625 memory: 6626 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0094 loss_cls: 0.0822 acc: 97.0215 loss_bbox: 0.1320 loss_mask: 0.2066 loss: 0.4372 2022/08/26 18:16:55 - mmengine - INFO - Epoch(train) [144][5/125] lr: 8.0000e-04 eta: 0:14:40 time: 0.6630 data_time: 0.3693 memory: 6453 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0100 loss_cls: 0.0860 acc: 97.6074 loss_bbox: 0.1298 loss_mask: 0.2066 loss: 0.4385 2022/08/26 18:16:57 - mmengine - INFO - Epoch(train) [144][10/125] lr: 8.0000e-04 eta: 0:14:34 time: 0.6626 data_time: 0.3673 memory: 6477 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0095 loss_cls: 0.0757 acc: 96.3623 loss_bbox: 0.1092 loss_mask: 0.1981 loss: 0.3984 2022/08/26 18:17:00 - mmengine - INFO - Epoch(train) [144][15/125] lr: 8.0000e-04 eta: 0:14:34 time: 0.4241 data_time: 0.1492 memory: 6849 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0121 loss_cls: 0.0793 acc: 97.6807 loss_bbox: 0.1241 loss_mask: 0.1922 loss: 0.4143 2022/08/26 18:17:02 - mmengine - INFO - Epoch(train) [144][20/125] lr: 8.0000e-04 eta: 0:14:30 time: 0.4689 data_time: 0.1556 memory: 6382 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0132 loss_cls: 0.0844 acc: 96.4111 loss_bbox: 0.1290 loss_mask: 0.1850 loss: 0.4186 2022/08/26 18:17:03 - mmengine - INFO - Epoch(train) [144][25/125] lr: 8.0000e-04 eta: 0:14:30 time: 0.3919 data_time: 0.0822 memory: 6503 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0095 loss_cls: 0.0736 acc: 97.9004 loss_bbox: 0.1092 loss_mask: 0.1776 loss: 0.3771 2022/08/26 18:17:05 - mmengine - INFO - Epoch(train) [144][30/125] lr: 8.0000e-04 eta: 0:14:25 time: 0.3562 data_time: 0.0816 memory: 6268 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0081 loss_cls: 0.0711 acc: 96.3379 loss_bbox: 0.1105 loss_mask: 0.1801 loss: 0.3763 2022/08/26 18:17:07 - mmengine - INFO - Epoch(train) [144][35/125] lr: 8.0000e-04 eta: 0:14:25 time: 0.3986 data_time: 0.1167 memory: 6900 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0113 loss_cls: 0.0831 acc: 97.5830 loss_bbox: 0.1260 loss_mask: 0.1876 loss: 0.4144 2022/08/26 18:17:10 - mmengine - INFO - Epoch(train) [144][40/125] lr: 8.0000e-04 eta: 0:14:21 time: 0.4215 data_time: 0.1427 memory: 6281 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0125 loss_cls: 0.0784 acc: 97.9980 loss_bbox: 0.1227 loss_mask: 0.1819 loss: 0.4015 2022/08/26 18:17:12 - mmengine - INFO - Epoch(train) [144][45/125] lr: 8.0000e-04 eta: 0:14:21 time: 0.4321 data_time: 0.1293 memory: 5905 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0096 loss_cls: 0.0671 acc: 96.7773 loss_bbox: 0.0990 loss_mask: 0.1923 loss: 0.3739 2022/08/26 18:17:14 - mmengine - INFO - Epoch(train) [144][50/125] lr: 8.0000e-04 eta: 0:14:17 time: 0.3958 data_time: 0.0965 memory: 6266 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0068 loss_cls: 0.0677 acc: 98.4863 loss_bbox: 0.0919 loss_mask: 0.2061 loss: 0.3792 2022/08/26 18:17:16 - mmengine - INFO - Epoch(train) [144][55/125] lr: 8.0000e-04 eta: 0:14:17 time: 0.4150 data_time: 0.1479 memory: 6519 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0069 loss_cls: 0.0723 acc: 97.6807 loss_bbox: 0.1053 loss_mask: 0.1976 loss: 0.3881 2022/08/26 18:17:17 - mmengine - INFO - Epoch(train) [144][60/125] lr: 8.0000e-04 eta: 0:14:13 time: 0.3899 data_time: 0.1209 memory: 6415 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0081 loss_cls: 0.0730 acc: 97.4609 loss_bbox: 0.1144 loss_mask: 0.1852 loss: 0.3862 2022/08/26 18:17:20 - mmengine - INFO - Epoch(train) [144][65/125] lr: 8.0000e-04 eta: 0:14:13 time: 0.3831 data_time: 0.1129 memory: 6486 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0087 loss_cls: 0.0773 acc: 95.8252 loss_bbox: 0.1186 loss_mask: 0.1978 loss: 0.4083 2022/08/26 18:17:22 - mmengine - INFO - Epoch(train) [144][70/125] lr: 8.0000e-04 eta: 0:14:09 time: 0.4672 data_time: 0.1936 memory: 6415 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0095 loss_cls: 0.0761 acc: 97.0215 loss_bbox: 0.1163 loss_mask: 0.2063 loss: 0.4143 2022/08/26 18:17:24 - mmengine - INFO - Epoch(train) [144][75/125] lr: 8.0000e-04 eta: 0:14:09 time: 0.4101 data_time: 0.1148 memory: 6376 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0089 loss_cls: 0.0709 acc: 97.5098 loss_bbox: 0.1070 loss_mask: 0.1851 loss: 0.3763 2022/08/26 18:17:26 - mmengine - INFO - Epoch(train) [144][80/125] lr: 8.0000e-04 eta: 0:14:05 time: 0.3568 data_time: 0.0588 memory: 6436 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0104 loss_cls: 0.0750 acc: 97.3389 loss_bbox: 0.1142 loss_mask: 0.1932 loss: 0.3977 2022/08/26 18:17:27 - mmengine - INFO - Epoch(train) [144][85/125] lr: 8.0000e-04 eta: 0:14:05 time: 0.3474 data_time: 0.0705 memory: 6495 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0111 loss_cls: 0.0788 acc: 97.3389 loss_bbox: 0.1253 loss_mask: 0.2035 loss: 0.4236 2022/08/26 18:17:29 - mmengine - INFO - Epoch(train) [144][90/125] lr: 8.0000e-04 eta: 0:14:01 time: 0.3497 data_time: 0.0722 memory: 6433 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0114 loss_cls: 0.0811 acc: 97.0459 loss_bbox: 0.1292 loss_mask: 0.1968 loss: 0.4239 2022/08/26 18:17:31 - mmengine - INFO - Epoch(train) [144][95/125] lr: 8.0000e-04 eta: 0:14:01 time: 0.3754 data_time: 0.0926 memory: 6894 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0135 loss_cls: 0.0756 acc: 97.5586 loss_bbox: 0.1254 loss_mask: 0.1854 loss: 0.4072 2022/08/26 18:17:33 - mmengine - INFO - Epoch(train) [144][100/125] lr: 8.0000e-04 eta: 0:13:56 time: 0.4313 data_time: 0.0958 memory: 7814 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0141 loss_cls: 0.0846 acc: 94.9707 loss_bbox: 0.1429 loss_mask: 0.1827 loss: 0.4321 2022/08/26 18:17:35 - mmengine - INFO - Epoch(train) [144][105/125] lr: 8.0000e-04 eta: 0:13:56 time: 0.3967 data_time: 0.0725 memory: 6340 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0112 loss_cls: 0.0757 acc: 98.5107 loss_bbox: 0.1250 loss_mask: 0.1897 loss: 0.4063 2022/08/26 18:17:37 - mmengine - INFO - Epoch(train) [144][110/125] lr: 8.0000e-04 eta: 0:13:52 time: 0.3192 data_time: 0.0508 memory: 6190 loss_rpn_cls: 0.0038 loss_rpn_bbox: 0.0075 loss_cls: 0.0675 acc: 96.6797 loss_bbox: 0.0997 loss_mask: 0.1888 loss: 0.3672 2022/08/26 18:17:38 - mmengine - INFO - Epoch(train) [144][115/125] lr: 8.0000e-04 eta: 0:13:52 time: 0.3364 data_time: 0.0561 memory: 6545 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0086 loss_cls: 0.0837 acc: 97.1191 loss_bbox: 0.1155 loss_mask: 0.1944 loss: 0.4087 2022/08/26 18:17:40 - mmengine - INFO - Epoch(train) [144][120/125] lr: 8.0000e-04 eta: 0:13:48 time: 0.3598 data_time: 0.0772 memory: 6571 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0102 loss_cls: 0.0851 acc: 97.3389 loss_bbox: 0.1237 loss_mask: 0.1971 loss: 0.4242 2022/08/26 18:17:43 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:17:43 - mmengine - INFO - Epoch(train) [144][125/125] lr: 8.0000e-04 eta: 0:13:48 time: 0.4491 data_time: 0.1595 memory: 6630 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0112 loss_cls: 0.0823 acc: 96.4355 loss_bbox: 0.1283 loss_mask: 0.2014 loss: 0.4304 2022/08/26 18:17:48 - mmengine - INFO - Epoch(train) [145][5/125] lr: 8.0000e-04 eta: 0:13:48 time: 0.7033 data_time: 0.3870 memory: 6463 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0115 loss_cls: 0.0808 acc: 96.1914 loss_bbox: 0.1267 loss_mask: 0.1977 loss: 0.4220 2022/08/26 18:17:49 - mmengine - INFO - Epoch(train) [145][10/125] lr: 8.0000e-04 eta: 0:13:42 time: 0.5884 data_time: 0.2880 memory: 6281 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0130 loss_cls: 0.0755 acc: 97.6562 loss_bbox: 0.1145 loss_mask: 0.1993 loss: 0.4086 2022/08/26 18:17:51 - mmengine - INFO - Epoch(train) [145][15/125] lr: 8.0000e-04 eta: 0:13:42 time: 0.3324 data_time: 0.0593 memory: 6281 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0126 loss_cls: 0.0733 acc: 96.3867 loss_bbox: 0.1098 loss_mask: 0.1919 loss: 0.3951 2022/08/26 18:17:53 - mmengine - INFO - Epoch(train) [145][20/125] lr: 8.0000e-04 eta: 0:13:38 time: 0.3560 data_time: 0.0865 memory: 6594 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0104 loss_cls: 0.0799 acc: 94.1895 loss_bbox: 0.1184 loss_mask: 0.1994 loss: 0.4150 2022/08/26 18:17:55 - mmengine - INFO - Epoch(train) [145][25/125] lr: 8.0000e-04 eta: 0:13:38 time: 0.3588 data_time: 0.0865 memory: 6828 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0113 loss_cls: 0.0848 acc: 98.2910 loss_bbox: 0.1261 loss_mask: 0.2056 loss: 0.4337 2022/08/26 18:17:58 - mmengine - INFO - Epoch(train) [145][30/125] lr: 8.0000e-04 eta: 0:13:34 time: 0.5212 data_time: 0.2191 memory: 8162 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0124 loss_cls: 0.0847 acc: 97.3633 loss_bbox: 0.1345 loss_mask: 0.1862 loss: 0.4237 2022/08/26 18:18:00 - mmengine - INFO - Epoch(train) [145][35/125] lr: 8.0000e-04 eta: 0:13:34 time: 0.5002 data_time: 0.2028 memory: 6103 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0102 loss_cls: 0.0677 acc: 97.2656 loss_bbox: 0.1089 loss_mask: 0.1810 loss: 0.3736 2022/08/26 18:18:03 - mmengine - INFO - Epoch(train) [145][40/125] lr: 8.0000e-04 eta: 0:13:30 time: 0.4816 data_time: 0.0869 memory: 6375 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0086 loss_cls: 0.0661 acc: 98.0957 loss_bbox: 0.0968 loss_mask: 0.1869 loss: 0.3649 2022/08/26 18:18:05 - mmengine - INFO - Epoch(train) [145][45/125] lr: 8.0000e-04 eta: 0:13:30 time: 0.5082 data_time: 0.1077 memory: 6878 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0099 loss_cls: 0.0770 acc: 97.6807 loss_bbox: 0.1152 loss_mask: 0.1973 loss: 0.4054 2022/08/26 18:18:07 - mmengine - INFO - Epoch(train) [145][50/125] lr: 8.0000e-04 eta: 0:13:25 time: 0.3671 data_time: 0.0913 memory: 6134 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0087 loss_cls: 0.0743 acc: 98.2178 loss_bbox: 0.1131 loss_mask: 0.1925 loss: 0.3943 2022/08/26 18:18:08 - mmengine - INFO - Epoch(train) [145][55/125] lr: 8.0000e-04 eta: 0:13:25 time: 0.3681 data_time: 0.0993 memory: 6617 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0093 loss_cls: 0.0739 acc: 95.8252 loss_bbox: 0.1160 loss_mask: 0.1863 loss: 0.3922 2022/08/26 18:18:10 - mmengine - INFO - Epoch(train) [145][60/125] lr: 8.0000e-04 eta: 0:13:21 time: 0.3660 data_time: 0.0861 memory: 6610 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0095 loss_cls: 0.0769 acc: 97.5342 loss_bbox: 0.1207 loss_mask: 0.1839 loss: 0.3982 2022/08/26 18:18:12 - mmengine - INFO - Epoch(train) [145][65/125] lr: 8.0000e-04 eta: 0:13:21 time: 0.3426 data_time: 0.0639 memory: 6433 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0092 loss_cls: 0.0861 acc: 96.6553 loss_bbox: 0.1287 loss_mask: 0.2077 loss: 0.4422 2022/08/26 18:18:14 - mmengine - INFO - Epoch(train) [145][70/125] lr: 8.0000e-04 eta: 0:13:17 time: 0.3492 data_time: 0.0724 memory: 6738 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0112 loss_cls: 0.0883 acc: 94.7266 loss_bbox: 0.1325 loss_mask: 0.2081 loss: 0.4496 2022/08/26 18:18:15 - mmengine - INFO - Epoch(train) [145][75/125] lr: 8.0000e-04 eta: 0:13:17 time: 0.3599 data_time: 0.0769 memory: 6363 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0109 loss_cls: 0.0846 acc: 97.5098 loss_bbox: 0.1193 loss_mask: 0.2009 loss: 0.4268 2022/08/26 18:18:18 - mmengine - INFO - Epoch(train) [145][80/125] lr: 8.0000e-04 eta: 0:13:13 time: 0.3912 data_time: 0.0880 memory: 7804 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0104 loss_cls: 0.0886 acc: 97.2168 loss_bbox: 0.1294 loss_mask: 0.2100 loss: 0.4484 2022/08/26 18:18:20 - mmengine - INFO - Epoch(train) [145][85/125] lr: 8.0000e-04 eta: 0:13:13 time: 0.4043 data_time: 0.1072 memory: 6356 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0088 loss_cls: 0.0762 acc: 96.7285 loss_bbox: 0.1201 loss_mask: 0.1876 loss: 0.3970 2022/08/26 18:18:22 - mmengine - INFO - Epoch(train) [145][90/125] lr: 8.0000e-04 eta: 0:13:09 time: 0.3950 data_time: 0.0840 memory: 6434 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0078 loss_cls: 0.0601 acc: 97.3145 loss_bbox: 0.0978 loss_mask: 0.1797 loss: 0.3494 2022/08/26 18:18:23 - mmengine - INFO - Epoch(train) [145][95/125] lr: 8.0000e-04 eta: 0:13:09 time: 0.3814 data_time: 0.0637 memory: 6414 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0085 loss_cls: 0.0645 acc: 96.8750 loss_bbox: 0.1072 loss_mask: 0.1928 loss: 0.3777 2022/08/26 18:18:25 - mmengine - INFO - Epoch(train) [145][100/125] lr: 8.0000e-04 eta: 0:13:04 time: 0.3635 data_time: 0.0900 memory: 6418 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0088 loss_cls: 0.0718 acc: 97.5098 loss_bbox: 0.1124 loss_mask: 0.1875 loss: 0.3868 2022/08/26 18:18:27 - mmengine - INFO - Epoch(train) [145][105/125] lr: 8.0000e-04 eta: 0:13:04 time: 0.3509 data_time: 0.0800 memory: 6460 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0085 loss_cls: 0.0740 acc: 97.4365 loss_bbox: 0.1095 loss_mask: 0.1906 loss: 0.3879 2022/08/26 18:18:29 - mmengine - INFO - Epoch(train) [145][110/125] lr: 8.0000e-04 eta: 0:13:00 time: 0.4175 data_time: 0.1249 memory: 6613 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0098 loss_cls: 0.0811 acc: 97.9492 loss_bbox: 0.1145 loss_mask: 0.2039 loss: 0.4184 2022/08/26 18:18:31 - mmengine - INFO - Epoch(train) [145][115/125] lr: 8.0000e-04 eta: 0:13:00 time: 0.4302 data_time: 0.1386 memory: 6585 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0122 loss_cls: 0.0923 acc: 95.3857 loss_bbox: 0.1309 loss_mask: 0.1955 loss: 0.4415 2022/08/26 18:18:33 - mmengine - INFO - Epoch(train) [145][120/125] lr: 8.0000e-04 eta: 0:12:56 time: 0.3510 data_time: 0.0729 memory: 6536 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0120 loss_cls: 0.0895 acc: 96.5820 loss_bbox: 0.1342 loss_mask: 0.1851 loss: 0.4271 2022/08/26 18:18:35 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:18:35 - mmengine - INFO - Epoch(train) [145][125/125] lr: 8.0000e-04 eta: 0:12:56 time: 0.3439 data_time: 0.0716 memory: 6531 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0092 loss_cls: 0.0695 acc: 96.6797 loss_bbox: 0.1110 loss_mask: 0.1765 loss: 0.3707 2022/08/26 18:18:39 - mmengine - INFO - Epoch(train) [146][5/125] lr: 8.0000e-04 eta: 0:12:56 time: 0.6339 data_time: 0.3642 memory: 6373 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0086 loss_cls: 0.0618 acc: 97.8271 loss_bbox: 0.1055 loss_mask: 0.1815 loss: 0.3628 2022/08/26 18:18:42 - mmengine - INFO - Epoch(train) [146][10/125] lr: 8.0000e-04 eta: 0:12:50 time: 0.7555 data_time: 0.4761 memory: 6314 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0089 loss_cls: 0.0725 acc: 96.7041 loss_bbox: 0.1153 loss_mask: 0.1895 loss: 0.3912 2022/08/26 18:18:44 - mmengine - INFO - Epoch(train) [146][15/125] lr: 8.0000e-04 eta: 0:12:50 time: 0.4642 data_time: 0.1840 memory: 6500 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0091 loss_cls: 0.0756 acc: 97.4121 loss_bbox: 0.1113 loss_mask: 0.1865 loss: 0.3880 2022/08/26 18:18:46 - mmengine - INFO - Epoch(train) [146][20/125] lr: 8.0000e-04 eta: 0:12:46 time: 0.3364 data_time: 0.0630 memory: 6506 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0094 loss_cls: 0.0694 acc: 97.4854 loss_bbox: 0.1041 loss_mask: 0.1817 loss: 0.3720 2022/08/26 18:18:47 - mmengine - INFO - Epoch(train) [146][25/125] lr: 8.0000e-04 eta: 0:12:46 time: 0.3385 data_time: 0.0684 memory: 6398 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0089 loss_cls: 0.0695 acc: 97.1924 loss_bbox: 0.1125 loss_mask: 0.1860 loss: 0.3828 2022/08/26 18:18:49 - mmengine - INFO - Epoch(train) [146][30/125] lr: 8.0000e-04 eta: 0:12:42 time: 0.3457 data_time: 0.0710 memory: 6203 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0101 loss_cls: 0.0652 acc: 98.0225 loss_bbox: 0.1014 loss_mask: 0.1947 loss: 0.3771 2022/08/26 18:18:51 - mmengine - INFO - Epoch(train) [146][35/125] lr: 8.0000e-04 eta: 0:12:42 time: 0.3464 data_time: 0.0728 memory: 6431 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0106 loss_cls: 0.0695 acc: 97.2900 loss_bbox: 0.1006 loss_mask: 0.1933 loss: 0.3810 2022/08/26 18:18:54 - mmengine - INFO - Epoch(train) [146][40/125] lr: 8.0000e-04 eta: 0:12:38 time: 0.4384 data_time: 0.1221 memory: 6747 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0110 loss_cls: 0.0818 acc: 97.9492 loss_bbox: 0.1240 loss_mask: 0.1987 loss: 0.4225 2022/08/26 18:18:55 - mmengine - INFO - Epoch(train) [146][45/125] lr: 8.0000e-04 eta: 0:12:38 time: 0.4403 data_time: 0.1213 memory: 6796 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0105 loss_cls: 0.0811 acc: 97.9492 loss_bbox: 0.1216 loss_mask: 0.1916 loss: 0.4118 2022/08/26 18:18:57 - mmengine - INFO - Epoch(train) [146][50/125] lr: 8.0000e-04 eta: 0:12:33 time: 0.3386 data_time: 0.0628 memory: 6597 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0113 loss_cls: 0.0767 acc: 95.6543 loss_bbox: 0.1223 loss_mask: 0.1803 loss: 0.3989 2022/08/26 18:18:58 - mmengine - INFO - Epoch(train) [146][55/125] lr: 8.0000e-04 eta: 0:12:33 time: 0.3218 data_time: 0.0497 memory: 6226 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0110 loss_cls: 0.0718 acc: 97.3877 loss_bbox: 0.1128 loss_mask: 0.1859 loss: 0.3899 2022/08/26 18:19:00 - mmengine - INFO - Epoch(train) [146][60/125] lr: 8.0000e-04 eta: 0:12:29 time: 0.3359 data_time: 0.0679 memory: 6326 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0079 loss_cls: 0.0728 acc: 98.5352 loss_bbox: 0.1001 loss_mask: 0.2053 loss: 0.3933 2022/08/26 18:19:04 - mmengine - INFO - Epoch(train) [146][65/125] lr: 8.0000e-04 eta: 0:12:29 time: 0.5730 data_time: 0.1984 memory: 6712 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0089 loss_cls: 0.0850 acc: 96.5088 loss_bbox: 0.1245 loss_mask: 0.2054 loss: 0.4303 2022/08/26 18:19:06 - mmengine - INFO - Epoch(train) [146][70/125] lr: 8.0000e-04 eta: 0:12:25 time: 0.5857 data_time: 0.2072 memory: 6542 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0108 loss_cls: 0.0835 acc: 97.7539 loss_bbox: 0.1335 loss_mask: 0.1955 loss: 0.4313 2022/08/26 18:19:08 - mmengine - INFO - Epoch(train) [146][75/125] lr: 8.0000e-04 eta: 0:12:25 time: 0.3582 data_time: 0.0854 memory: 6405 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0113 loss_cls: 0.0729 acc: 97.6807 loss_bbox: 0.1175 loss_mask: 0.1995 loss: 0.4098 2022/08/26 18:19:10 - mmengine - INFO - Epoch(train) [146][80/125] lr: 8.0000e-04 eta: 0:12:21 time: 0.3736 data_time: 0.1016 memory: 6836 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0112 loss_cls: 0.0825 acc: 97.6562 loss_bbox: 0.1269 loss_mask: 0.1911 loss: 0.4203 2022/08/26 18:19:12 - mmengine - INFO - Epoch(train) [146][85/125] lr: 8.0000e-04 eta: 0:12:21 time: 0.3860 data_time: 0.1117 memory: 6460 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0098 loss_cls: 0.0756 acc: 98.6328 loss_bbox: 0.1194 loss_mask: 0.1773 loss: 0.3894 2022/08/26 18:19:13 - mmengine - INFO - Epoch(train) [146][90/125] lr: 8.0000e-04 eta: 0:12:17 time: 0.3466 data_time: 0.0745 memory: 6583 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0103 loss_cls: 0.0746 acc: 96.9482 loss_bbox: 0.1219 loss_mask: 0.1911 loss: 0.4038 2022/08/26 18:19:15 - mmengine - INFO - Epoch(train) [146][95/125] lr: 8.0000e-04 eta: 0:12:17 time: 0.3523 data_time: 0.0848 memory: 6313 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0124 loss_cls: 0.0846 acc: 96.2646 loss_bbox: 0.1242 loss_mask: 0.2013 loss: 0.4286 2022/08/26 18:19:18 - mmengine - INFO - Epoch(train) [146][100/125] lr: 8.0000e-04 eta: 0:12:13 time: 0.4389 data_time: 0.1722 memory: 6542 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0135 loss_cls: 0.0803 acc: 98.2910 loss_bbox: 0.1187 loss_mask: 0.2169 loss: 0.4383 2022/08/26 18:19:20 - mmengine - INFO - Epoch(train) [146][105/125] lr: 8.0000e-04 eta: 0:12:13 time: 0.4582 data_time: 0.1881 memory: 6561 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0110 loss_cls: 0.0816 acc: 97.3877 loss_bbox: 0.1336 loss_mask: 0.2234 loss: 0.4579 2022/08/26 18:19:22 - mmengine - INFO - Epoch(train) [146][110/125] lr: 8.0000e-04 eta: 0:12:09 time: 0.4480 data_time: 0.0989 memory: 6213 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0104 loss_cls: 0.0786 acc: 97.0947 loss_bbox: 0.1216 loss_mask: 0.2022 loss: 0.4189 2022/08/26 18:19:24 - mmengine - INFO - Epoch(train) [146][115/125] lr: 8.0000e-04 eta: 0:12:09 time: 0.4619 data_time: 0.1123 memory: 6574 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0114 loss_cls: 0.0731 acc: 97.8760 loss_bbox: 0.1049 loss_mask: 0.1956 loss: 0.3931 2022/08/26 18:19:26 - mmengine - INFO - Epoch(train) [146][120/125] lr: 8.0000e-04 eta: 0:12:04 time: 0.3755 data_time: 0.1041 memory: 6268 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0114 loss_cls: 0.0798 acc: 97.7295 loss_bbox: 0.1063 loss_mask: 0.1909 loss: 0.4002 2022/08/26 18:19:28 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:19:28 - mmengine - INFO - Epoch(train) [146][125/125] lr: 8.0000e-04 eta: 0:12:04 time: 0.3344 data_time: 0.0686 memory: 6425 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0092 loss_cls: 0.0811 acc: 95.9717 loss_bbox: 0.1118 loss_mask: 0.1889 loss: 0.4012 2022/08/26 18:19:31 - mmengine - INFO - Epoch(train) [147][5/125] lr: 8.0000e-04 eta: 0:12:04 time: 0.5266 data_time: 0.2637 memory: 6330 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0073 loss_cls: 0.0753 acc: 96.4600 loss_bbox: 0.1184 loss_mask: 0.1933 loss: 0.4001 2022/08/26 18:19:33 - mmengine - INFO - Epoch(train) [147][10/125] lr: 8.0000e-04 eta: 0:11:58 time: 0.5286 data_time: 0.2318 memory: 7744 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0091 loss_cls: 0.0787 acc: 98.2910 loss_bbox: 0.1249 loss_mask: 0.1922 loss: 0.4109 2022/08/26 18:19:35 - mmengine - INFO - Epoch(train) [147][15/125] lr: 8.0000e-04 eta: 0:11:58 time: 0.3886 data_time: 0.0863 memory: 6227 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0094 loss_cls: 0.0840 acc: 96.5820 loss_bbox: 0.1223 loss_mask: 0.1930 loss: 0.4155 2022/08/26 18:19:37 - mmengine - INFO - Epoch(train) [147][20/125] lr: 8.0000e-04 eta: 0:11:54 time: 0.3941 data_time: 0.1231 memory: 6434 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0098 loss_cls: 0.0830 acc: 96.5088 loss_bbox: 0.1220 loss_mask: 0.2018 loss: 0.4230 2022/08/26 18:19:39 - mmengine - INFO - Epoch(train) [147][25/125] lr: 8.0000e-04 eta: 0:11:54 time: 0.3865 data_time: 0.1166 memory: 6440 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0091 loss_cls: 0.0802 acc: 96.5088 loss_bbox: 0.1227 loss_mask: 0.2058 loss: 0.4224 2022/08/26 18:19:41 - mmengine - INFO - Epoch(train) [147][30/125] lr: 8.0000e-04 eta: 0:11:50 time: 0.3782 data_time: 0.1056 memory: 6672 loss_rpn_cls: 0.0044 loss_rpn_bbox: 0.0075 loss_cls: 0.0767 acc: 97.6807 loss_bbox: 0.1214 loss_mask: 0.2038 loss: 0.4138 2022/08/26 18:19:43 - mmengine - INFO - Epoch(train) [147][35/125] lr: 8.0000e-04 eta: 0:11:50 time: 0.4260 data_time: 0.1038 memory: 6616 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0097 loss_cls: 0.0743 acc: 95.4346 loss_bbox: 0.1178 loss_mask: 0.1981 loss: 0.4062 2022/08/26 18:19:45 - mmengine - INFO - Epoch(train) [147][40/125] lr: 8.0000e-04 eta: 0:11:46 time: 0.4233 data_time: 0.1010 memory: 6764 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0134 loss_cls: 0.0788 acc: 98.3398 loss_bbox: 0.1231 loss_mask: 0.1924 loss: 0.4154 2022/08/26 18:19:47 - mmengine - INFO - Epoch(train) [147][45/125] lr: 8.0000e-04 eta: 0:11:46 time: 0.3585 data_time: 0.0888 memory: 6816 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0125 loss_cls: 0.0785 acc: 97.9980 loss_bbox: 0.1218 loss_mask: 0.1932 loss: 0.4141 2022/08/26 18:19:49 - mmengine - INFO - Epoch(train) [147][50/125] lr: 8.0000e-04 eta: 0:11:42 time: 0.3606 data_time: 0.0924 memory: 6352 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0090 loss_cls: 0.0790 acc: 97.5586 loss_bbox: 0.1137 loss_mask: 0.1909 loss: 0.4011 2022/08/26 18:19:51 - mmengine - INFO - Epoch(train) [147][55/125] lr: 8.0000e-04 eta: 0:11:42 time: 0.3904 data_time: 0.1237 memory: 6258 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0077 loss_cls: 0.0799 acc: 96.8018 loss_bbox: 0.1139 loss_mask: 0.2003 loss: 0.4098 2022/08/26 18:19:53 - mmengine - INFO - Epoch(train) [147][60/125] lr: 8.0000e-04 eta: 0:11:37 time: 0.4697 data_time: 0.1417 memory: 6701 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0097 loss_cls: 0.0815 acc: 97.5342 loss_bbox: 0.1190 loss_mask: 0.2073 loss: 0.4252 2022/08/26 18:19:55 - mmengine - INFO - Epoch(train) [147][65/125] lr: 8.0000e-04 eta: 0:11:37 time: 0.4447 data_time: 0.1080 memory: 6871 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0145 loss_cls: 0.0952 acc: 96.8506 loss_bbox: 0.1412 loss_mask: 0.2011 loss: 0.4623 2022/08/26 18:19:57 - mmengine - INFO - Epoch(train) [147][70/125] lr: 8.0000e-04 eta: 0:11:33 time: 0.3619 data_time: 0.0867 memory: 6343 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0137 loss_cls: 0.0899 acc: 97.6807 loss_bbox: 0.1242 loss_mask: 0.2032 loss: 0.4428 2022/08/26 18:19:59 - mmengine - INFO - Epoch(train) [147][75/125] lr: 8.0000e-04 eta: 0:11:33 time: 0.3482 data_time: 0.0770 memory: 6643 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0098 loss_cls: 0.0818 acc: 97.1191 loss_bbox: 0.1124 loss_mask: 0.2007 loss: 0.4156 2022/08/26 18:20:01 - mmengine - INFO - Epoch(train) [147][80/125] lr: 8.0000e-04 eta: 0:11:29 time: 0.3635 data_time: 0.0879 memory: 6777 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0119 loss_cls: 0.0817 acc: 97.2412 loss_bbox: 0.1308 loss_mask: 0.1941 loss: 0.4271 2022/08/26 18:20:03 - mmengine - INFO - Epoch(train) [147][85/125] lr: 8.0000e-04 eta: 0:11:29 time: 0.3968 data_time: 0.1026 memory: 6545 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0114 loss_cls: 0.0858 acc: 96.9727 loss_bbox: 0.1346 loss_mask: 0.1962 loss: 0.4356 2022/08/26 18:20:04 - mmengine - INFO - Epoch(train) [147][90/125] lr: 8.0000e-04 eta: 0:11:25 time: 0.3760 data_time: 0.0856 memory: 6191 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0081 loss_cls: 0.0838 acc: 96.1914 loss_bbox: 0.1176 loss_mask: 0.1908 loss: 0.4066 2022/08/26 18:20:06 - mmengine - INFO - Epoch(train) [147][95/125] lr: 8.0000e-04 eta: 0:11:25 time: 0.3472 data_time: 0.0741 memory: 6205 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0088 loss_cls: 0.0739 acc: 97.2900 loss_bbox: 0.1049 loss_mask: 0.1834 loss: 0.3778 2022/08/26 18:20:08 - mmengine - INFO - Epoch(train) [147][100/125] lr: 8.0000e-04 eta: 0:11:21 time: 0.3655 data_time: 0.0936 memory: 6343 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0098 loss_cls: 0.0732 acc: 96.6309 loss_bbox: 0.1126 loss_mask: 0.1933 loss: 0.3977 2022/08/26 18:20:10 - mmengine - INFO - Epoch(train) [147][105/125] lr: 8.0000e-04 eta: 0:11:21 time: 0.3524 data_time: 0.0811 memory: 6463 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0090 loss_cls: 0.0694 acc: 97.3877 loss_bbox: 0.1107 loss_mask: 0.1843 loss: 0.3807 2022/08/26 18:20:13 - mmengine - INFO - Epoch(train) [147][110/125] lr: 8.0000e-04 eta: 0:11:17 time: 0.4511 data_time: 0.1114 memory: 6695 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0098 loss_cls: 0.0835 acc: 95.3125 loss_bbox: 0.1275 loss_mask: 0.1805 loss: 0.4081 2022/08/26 18:20:14 - mmengine - INFO - Epoch(train) [147][115/125] lr: 8.0000e-04 eta: 0:11:17 time: 0.4635 data_time: 0.1233 memory: 6400 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0121 loss_cls: 0.0790 acc: 97.3145 loss_bbox: 0.1237 loss_mask: 0.1849 loss: 0.4065 2022/08/26 18:20:16 - mmengine - INFO - Epoch(train) [147][120/125] lr: 8.0000e-04 eta: 0:11:13 time: 0.3490 data_time: 0.0758 memory: 6653 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0132 loss_cls: 0.0715 acc: 96.1670 loss_bbox: 0.1170 loss_mask: 0.1877 loss: 0.3966 2022/08/26 18:20:18 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:20:18 - mmengine - INFO - Epoch(train) [147][125/125] lr: 8.0000e-04 eta: 0:11:13 time: 0.3287 data_time: 0.0606 memory: 6278 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0117 loss_cls: 0.0788 acc: 97.6562 loss_bbox: 0.1261 loss_mask: 0.1926 loss: 0.4174 2022/08/26 18:20:21 - mmengine - INFO - Epoch(train) [148][5/125] lr: 8.0000e-04 eta: 0:11:13 time: 0.4691 data_time: 0.2031 memory: 6414 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0086 loss_cls: 0.0688 acc: 97.0215 loss_bbox: 0.1100 loss_mask: 0.1878 loss: 0.3835 2022/08/26 18:20:24 - mmengine - INFO - Epoch(train) [148][10/125] lr: 8.0000e-04 eta: 0:11:06 time: 0.6004 data_time: 0.2565 memory: 6885 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0116 loss_cls: 0.0791 acc: 96.7285 loss_bbox: 0.1232 loss_mask: 0.1872 loss: 0.4082 2022/08/26 18:20:26 - mmengine - INFO - Epoch(train) [148][15/125] lr: 8.0000e-04 eta: 0:11:06 time: 0.4682 data_time: 0.1217 memory: 6479 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0126 loss_cls: 0.0864 acc: 97.7051 loss_bbox: 0.1348 loss_mask: 0.1917 loss: 0.4315 2022/08/26 18:20:27 - mmengine - INFO - Epoch(train) [148][20/125] lr: 8.0000e-04 eta: 0:11:02 time: 0.3470 data_time: 0.0791 memory: 6359 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0083 loss_cls: 0.0762 acc: 96.9482 loss_bbox: 0.1200 loss_mask: 0.1953 loss: 0.4046 2022/08/26 18:20:29 - mmengine - INFO - Epoch(train) [148][25/125] lr: 8.0000e-04 eta: 0:11:02 time: 0.3553 data_time: 0.0831 memory: 6819 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0112 loss_cls: 0.0954 acc: 93.3350 loss_bbox: 0.1398 loss_mask: 0.2101 loss: 0.4657 2022/08/26 18:20:31 - mmengine - INFO - Epoch(train) [148][30/125] lr: 8.0000e-04 eta: 0:10:58 time: 0.3645 data_time: 0.0918 memory: 6291 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0118 loss_cls: 0.0984 acc: 97.2412 loss_bbox: 0.1423 loss_mask: 0.2166 loss: 0.4794 2022/08/26 18:20:33 - mmengine - INFO - Epoch(train) [148][35/125] lr: 8.0000e-04 eta: 0:10:58 time: 0.3886 data_time: 0.0726 memory: 6595 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0088 loss_cls: 0.0789 acc: 97.2412 loss_bbox: 0.1166 loss_mask: 0.2064 loss: 0.4164 2022/08/26 18:20:35 - mmengine - INFO - Epoch(train) [148][40/125] lr: 8.0000e-04 eta: 0:10:54 time: 0.4274 data_time: 0.1003 memory: 6421 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0093 loss_cls: 0.0705 acc: 97.9980 loss_bbox: 0.1098 loss_mask: 0.1935 loss: 0.3894 2022/08/26 18:20:37 - mmengine - INFO - Epoch(train) [148][45/125] lr: 8.0000e-04 eta: 0:10:54 time: 0.4248 data_time: 0.1149 memory: 6081 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0096 loss_cls: 0.0608 acc: 98.2178 loss_bbox: 0.0968 loss_mask: 0.1831 loss: 0.3560 2022/08/26 18:20:39 - mmengine - INFO - Epoch(train) [148][50/125] lr: 8.0000e-04 eta: 0:10:50 time: 0.3989 data_time: 0.0905 memory: 6282 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0123 loss_cls: 0.0693 acc: 96.6309 loss_bbox: 0.1033 loss_mask: 0.1883 loss: 0.3781 2022/08/26 18:20:41 - mmengine - INFO - Epoch(train) [148][55/125] lr: 8.0000e-04 eta: 0:10:50 time: 0.3480 data_time: 0.0625 memory: 6731 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0130 loss_cls: 0.0766 acc: 97.2656 loss_bbox: 0.1113 loss_mask: 0.1868 loss: 0.3948 2022/08/26 18:20:43 - mmengine - INFO - Epoch(train) [148][60/125] lr: 8.0000e-04 eta: 0:10:46 time: 0.3918 data_time: 0.0442 memory: 6675 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0112 loss_cls: 0.0750 acc: 96.8750 loss_bbox: 0.1169 loss_mask: 0.1795 loss: 0.3896 2022/08/26 18:20:45 - mmengine - INFO - Epoch(train) [148][65/125] lr: 8.0000e-04 eta: 0:10:46 time: 0.3823 data_time: 0.0406 memory: 6337 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0091 loss_cls: 0.0729 acc: 97.9492 loss_bbox: 0.1243 loss_mask: 0.1903 loss: 0.4022 2022/08/26 18:20:47 - mmengine - INFO - Epoch(train) [148][70/125] lr: 8.0000e-04 eta: 0:10:41 time: 0.3582 data_time: 0.0800 memory: 6753 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0089 loss_cls: 0.0746 acc: 97.1680 loss_bbox: 0.1236 loss_mask: 0.1999 loss: 0.4120 2022/08/26 18:20:49 - mmengine - INFO - Epoch(train) [148][75/125] lr: 8.0000e-04 eta: 0:10:41 time: 0.4560 data_time: 0.1769 memory: 6505 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0101 loss_cls: 0.0791 acc: 96.0205 loss_bbox: 0.1253 loss_mask: 0.1888 loss: 0.4086 2022/08/26 18:20:51 - mmengine - INFO - Epoch(train) [148][80/125] lr: 8.0000e-04 eta: 0:10:37 time: 0.4519 data_time: 0.1735 memory: 6561 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0099 loss_cls: 0.0706 acc: 97.3389 loss_bbox: 0.1155 loss_mask: 0.1830 loss: 0.3846 2022/08/26 18:20:54 - mmengine - INFO - Epoch(train) [148][85/125] lr: 8.0000e-04 eta: 0:10:37 time: 0.5063 data_time: 0.1979 memory: 6917 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0112 loss_cls: 0.0694 acc: 97.9980 loss_bbox: 0.1167 loss_mask: 0.1837 loss: 0.3877 2022/08/26 18:20:56 - mmengine - INFO - Epoch(train) [148][90/125] lr: 8.0000e-04 eta: 0:10:33 time: 0.4456 data_time: 0.1428 memory: 6120 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0096 loss_cls: 0.0633 acc: 98.1934 loss_bbox: 0.1037 loss_mask: 0.1768 loss: 0.3585 2022/08/26 18:20:57 - mmengine - INFO - Epoch(train) [148][95/125] lr: 8.0000e-04 eta: 0:10:33 time: 0.3262 data_time: 0.0552 memory: 6619 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0073 loss_cls: 0.0642 acc: 97.2656 loss_bbox: 0.1040 loss_mask: 0.1839 loss: 0.3640 2022/08/26 18:20:59 - mmengine - INFO - Epoch(train) [148][100/125] lr: 8.0000e-04 eta: 0:10:29 time: 0.3824 data_time: 0.1101 memory: 6360 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0098 loss_cls: 0.0793 acc: 96.9727 loss_bbox: 0.1278 loss_mask: 0.1947 loss: 0.4181 2022/08/26 18:21:02 - mmengine - INFO - Epoch(train) [148][105/125] lr: 8.0000e-04 eta: 0:10:29 time: 0.4462 data_time: 0.1593 memory: 6449 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0097 loss_cls: 0.0809 acc: 96.8994 loss_bbox: 0.1250 loss_mask: 0.1865 loss: 0.4076 2022/08/26 18:21:04 - mmengine - INFO - Epoch(train) [148][110/125] lr: 8.0000e-04 eta: 0:10:25 time: 0.4425 data_time: 0.1399 memory: 6329 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0070 loss_cls: 0.0742 acc: 97.7295 loss_bbox: 0.1101 loss_mask: 0.1845 loss: 0.3806 2022/08/26 18:21:05 - mmengine - INFO - Epoch(train) [148][115/125] lr: 8.0000e-04 eta: 0:10:25 time: 0.3468 data_time: 0.0633 memory: 6545 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0076 loss_cls: 0.0703 acc: 97.4121 loss_bbox: 0.1044 loss_mask: 0.1910 loss: 0.3825 2022/08/26 18:21:07 - mmengine - INFO - Epoch(train) [148][120/125] lr: 8.0000e-04 eta: 0:10:21 time: 0.3090 data_time: 0.0461 memory: 6111 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0087 loss_cls: 0.0640 acc: 97.0459 loss_bbox: 0.0906 loss_mask: 0.1784 loss: 0.3503 2022/08/26 18:21:09 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:21:09 - mmengine - INFO - Epoch(train) [148][125/125] lr: 8.0000e-04 eta: 0:10:21 time: 0.3335 data_time: 0.0682 memory: 6626 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0096 loss_cls: 0.0730 acc: 97.7539 loss_bbox: 0.1051 loss_mask: 0.1846 loss: 0.3806 2022/08/26 18:21:12 - mmengine - INFO - Epoch(train) [149][5/125] lr: 8.0000e-04 eta: 0:10:21 time: 0.4864 data_time: 0.1994 memory: 6637 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0116 loss_cls: 0.0909 acc: 98.7305 loss_bbox: 0.1324 loss_mask: 0.1976 loss: 0.4422 2022/08/26 18:21:14 - mmengine - INFO - Epoch(train) [149][10/125] lr: 8.0000e-04 eta: 0:10:14 time: 0.4805 data_time: 0.1914 memory: 6382 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0104 loss_cls: 0.0873 acc: 98.0469 loss_bbox: 0.1248 loss_mask: 0.1981 loss: 0.4279 2022/08/26 18:21:15 - mmengine - INFO - Epoch(train) [149][15/125] lr: 8.0000e-04 eta: 0:10:14 time: 0.3336 data_time: 0.0585 memory: 6546 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0094 loss_cls: 0.0835 acc: 97.1680 loss_bbox: 0.1208 loss_mask: 0.2046 loss: 0.4254 2022/08/26 18:21:18 - mmengine - INFO - Epoch(train) [149][20/125] lr: 8.0000e-04 eta: 0:10:10 time: 0.4195 data_time: 0.1458 memory: 6669 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0091 loss_cls: 0.0796 acc: 98.3154 loss_bbox: 0.1206 loss_mask: 0.2030 loss: 0.4181 2022/08/26 18:21:20 - mmengine - INFO - Epoch(train) [149][25/125] lr: 8.0000e-04 eta: 0:10:10 time: 0.4359 data_time: 0.1673 memory: 6747 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0077 loss_cls: 0.0711 acc: 98.1689 loss_bbox: 0.1132 loss_mask: 0.1981 loss: 0.3951 2022/08/26 18:21:21 - mmengine - INFO - Epoch(train) [149][30/125] lr: 8.0000e-04 eta: 0:10:06 time: 0.3503 data_time: 0.0816 memory: 6555 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0090 loss_cls: 0.0700 acc: 96.3867 loss_bbox: 0.1136 loss_mask: 0.1934 loss: 0.3905 2022/08/26 18:21:24 - mmengine - INFO - Epoch(train) [149][35/125] lr: 8.0000e-04 eta: 0:10:06 time: 0.4210 data_time: 0.0901 memory: 6705 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0095 loss_cls: 0.0722 acc: 97.2412 loss_bbox: 0.1181 loss_mask: 0.1887 loss: 0.3928 2022/08/26 18:21:26 - mmengine - INFO - Epoch(train) [149][40/125] lr: 8.0000e-04 eta: 0:10:02 time: 0.4258 data_time: 0.0916 memory: 6519 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0086 loss_cls: 0.0768 acc: 94.6045 loss_bbox: 0.1221 loss_mask: 0.1830 loss: 0.3955 2022/08/26 18:21:27 - mmengine - INFO - Epoch(train) [149][45/125] lr: 8.0000e-04 eta: 0:10:02 time: 0.3464 data_time: 0.0749 memory: 6340 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0074 loss_cls: 0.0761 acc: 96.6553 loss_bbox: 0.1177 loss_mask: 0.1888 loss: 0.3952 2022/08/26 18:21:29 - mmengine - INFO - Epoch(train) [149][50/125] lr: 8.0000e-04 eta: 0:09:58 time: 0.3449 data_time: 0.0754 memory: 6888 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0075 loss_cls: 0.0730 acc: 97.5586 loss_bbox: 0.1128 loss_mask: 0.1895 loss: 0.3888 2022/08/26 18:21:31 - mmengine - INFO - Epoch(train) [149][55/125] lr: 8.0000e-04 eta: 0:09:58 time: 0.3688 data_time: 0.0962 memory: 6793 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0117 loss_cls: 0.0818 acc: 98.3154 loss_bbox: 0.1249 loss_mask: 0.1993 loss: 0.4280 2022/08/26 18:21:33 - mmengine - INFO - Epoch(train) [149][60/125] lr: 8.0000e-04 eta: 0:09:54 time: 0.4011 data_time: 0.1205 memory: 6827 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0148 loss_cls: 0.0973 acc: 95.8496 loss_bbox: 0.1428 loss_mask: 0.2075 loss: 0.4756 2022/08/26 18:21:35 - mmengine - INFO - Epoch(train) [149][65/125] lr: 8.0000e-04 eta: 0:09:54 time: 0.3904 data_time: 0.1086 memory: 6489 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0133 loss_cls: 0.1029 acc: 96.5088 loss_bbox: 0.1473 loss_mask: 0.2042 loss: 0.4780 2022/08/26 18:21:37 - mmengine - INFO - Epoch(train) [149][70/125] lr: 8.0000e-04 eta: 0:09:50 time: 0.3632 data_time: 0.0870 memory: 6534 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0113 loss_cls: 0.0961 acc: 97.1436 loss_bbox: 0.1324 loss_mask: 0.2006 loss: 0.4476 2022/08/26 18:21:38 - mmengine - INFO - Epoch(train) [149][75/125] lr: 8.0000e-04 eta: 0:09:50 time: 0.3524 data_time: 0.0754 memory: 6558 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0108 loss_cls: 0.0849 acc: 96.5088 loss_bbox: 0.1191 loss_mask: 0.1878 loss: 0.4105 2022/08/26 18:21:40 - mmengine - INFO - Epoch(train) [149][80/125] lr: 8.0000e-04 eta: 0:09:45 time: 0.3506 data_time: 0.0739 memory: 6574 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0097 loss_cls: 0.0867 acc: 94.7510 loss_bbox: 0.1304 loss_mask: 0.2010 loss: 0.4359 2022/08/26 18:21:43 - mmengine - INFO - Epoch(train) [149][85/125] lr: 8.0000e-04 eta: 0:09:45 time: 0.4571 data_time: 0.0950 memory: 6318 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0086 loss_cls: 0.0773 acc: 98.0957 loss_bbox: 0.1165 loss_mask: 0.2136 loss: 0.4239 2022/08/26 18:21:45 - mmengine - INFO - Epoch(train) [149][90/125] lr: 8.0000e-04 eta: 0:09:41 time: 0.4664 data_time: 0.1084 memory: 6476 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0087 loss_cls: 0.0717 acc: 95.9717 loss_bbox: 0.1133 loss_mask: 0.2112 loss: 0.4117 2022/08/26 18:21:47 - mmengine - INFO - Epoch(train) [149][95/125] lr: 8.0000e-04 eta: 0:09:41 time: 0.3853 data_time: 0.1042 memory: 6434 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0103 loss_cls: 0.0770 acc: 96.4844 loss_bbox: 0.1268 loss_mask: 0.1983 loss: 0.4177 2022/08/26 18:21:49 - mmengine - INFO - Epoch(train) [149][100/125] lr: 8.0000e-04 eta: 0:09:37 time: 0.3802 data_time: 0.0954 memory: 6380 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0104 loss_cls: 0.0746 acc: 96.8018 loss_bbox: 0.1209 loss_mask: 0.1868 loss: 0.3989 2022/08/26 18:21:51 - mmengine - INFO - Epoch(train) [149][105/125] lr: 8.0000e-04 eta: 0:09:37 time: 0.3705 data_time: 0.0934 memory: 6271 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0093 loss_cls: 0.0782 acc: 98.7793 loss_bbox: 0.1158 loss_mask: 0.1861 loss: 0.3959 2022/08/26 18:21:53 - mmengine - INFO - Epoch(train) [149][110/125] lr: 8.0000e-04 eta: 0:09:33 time: 0.3881 data_time: 0.1166 memory: 6568 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0080 loss_cls: 0.0716 acc: 98.1689 loss_bbox: 0.1106 loss_mask: 0.1903 loss: 0.3857 2022/08/26 18:21:56 - mmengine - INFO - Epoch(train) [149][115/125] lr: 8.0000e-04 eta: 0:09:33 time: 0.5424 data_time: 0.2421 memory: 8230 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0096 loss_cls: 0.0792 acc: 97.1680 loss_bbox: 0.1309 loss_mask: 0.1915 loss: 0.4163 2022/08/26 18:21:58 - mmengine - INFO - Epoch(train) [149][120/125] lr: 8.0000e-04 eta: 0:09:29 time: 0.5278 data_time: 0.2292 memory: 6235 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0097 loss_cls: 0.0791 acc: 97.0459 loss_bbox: 0.1248 loss_mask: 0.1893 loss: 0.4084 2022/08/26 18:21:59 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:21:59 - mmengine - INFO - Epoch(train) [149][125/125] lr: 8.0000e-04 eta: 0:09:29 time: 0.3271 data_time: 0.0663 memory: 6310 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0084 loss_cls: 0.0697 acc: 96.2158 loss_bbox: 0.1067 loss_mask: 0.1879 loss: 0.3775 2022/08/26 18:22:03 - mmengine - INFO - Epoch(train) [150][5/125] lr: 8.0000e-04 eta: 0:09:29 time: 0.4927 data_time: 0.2009 memory: 6619 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0102 loss_cls: 0.0740 acc: 96.4111 loss_bbox: 0.1181 loss_mask: 0.1786 loss: 0.3876 2022/08/26 18:22:05 - mmengine - INFO - Epoch(train) [150][10/125] lr: 8.0000e-04 eta: 0:09:23 time: 0.5422 data_time: 0.2445 memory: 6483 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0115 loss_cls: 0.0757 acc: 98.2666 loss_bbox: 0.1254 loss_mask: 0.1825 loss: 0.4021 2022/08/26 18:22:07 - mmengine - INFO - Epoch(train) [150][15/125] lr: 8.0000e-04 eta: 0:09:23 time: 0.3680 data_time: 0.0968 memory: 6545 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0108 loss_cls: 0.0791 acc: 97.7539 loss_bbox: 0.1180 loss_mask: 0.1909 loss: 0.4062 2022/08/26 18:22:09 - mmengine - INFO - Epoch(train) [150][20/125] lr: 8.0000e-04 eta: 0:09:19 time: 0.4619 data_time: 0.1050 memory: 6386 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0091 loss_cls: 0.0776 acc: 97.9248 loss_bbox: 0.1127 loss_mask: 0.1924 loss: 0.3986 2022/08/26 18:22:11 - mmengine - INFO - Epoch(train) [150][25/125] lr: 8.0000e-04 eta: 0:09:19 time: 0.4538 data_time: 0.1000 memory: 6253 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0083 loss_cls: 0.0669 acc: 97.7539 loss_bbox: 0.1011 loss_mask: 0.1905 loss: 0.3718 2022/08/26 18:22:13 - mmengine - INFO - Epoch(train) [150][30/125] lr: 8.0000e-04 eta: 0:09:14 time: 0.3606 data_time: 0.0726 memory: 6858 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0076 loss_cls: 0.0712 acc: 97.4854 loss_bbox: 0.1083 loss_mask: 0.1899 loss: 0.3820 2022/08/26 18:22:15 - mmengine - INFO - Epoch(train) [150][35/125] lr: 8.0000e-04 eta: 0:09:14 time: 0.4064 data_time: 0.0802 memory: 7789 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0084 loss_cls: 0.0764 acc: 96.7041 loss_bbox: 0.1229 loss_mask: 0.1834 loss: 0.3966 2022/08/26 18:22:17 - mmengine - INFO - Epoch(train) [150][40/125] lr: 8.0000e-04 eta: 0:09:10 time: 0.4050 data_time: 0.1002 memory: 6431 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0089 loss_cls: 0.0734 acc: 97.4609 loss_bbox: 0.1236 loss_mask: 0.2000 loss: 0.4121 2022/08/26 18:22:19 - mmengine - INFO - Epoch(train) [150][45/125] lr: 8.0000e-04 eta: 0:09:10 time: 0.3914 data_time: 0.1220 memory: 7011 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0090 loss_cls: 0.0735 acc: 98.7549 loss_bbox: 0.1197 loss_mask: 0.1954 loss: 0.4027 2022/08/26 18:22:21 - mmengine - INFO - Epoch(train) [150][50/125] lr: 8.0000e-04 eta: 0:09:06 time: 0.4325 data_time: 0.1531 memory: 6829 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0118 loss_cls: 0.0805 acc: 95.8008 loss_bbox: 0.1300 loss_mask: 0.1805 loss: 0.4095 2022/08/26 18:22:24 - mmengine - INFO - Epoch(train) [150][55/125] lr: 8.0000e-04 eta: 0:09:06 time: 0.4898 data_time: 0.2041 memory: 6529 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0134 loss_cls: 0.0852 acc: 97.4365 loss_bbox: 0.1324 loss_mask: 0.2090 loss: 0.4501 2022/08/26 18:22:26 - mmengine - INFO - Epoch(train) [150][60/125] lr: 8.0000e-04 eta: 0:09:02 time: 0.4296 data_time: 0.1552 memory: 6696 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0117 loss_cls: 0.0758 acc: 97.3633 loss_bbox: 0.1140 loss_mask: 0.2062 loss: 0.4162 2022/08/26 18:22:28 - mmengine - INFO - Epoch(train) [150][65/125] lr: 8.0000e-04 eta: 0:09:02 time: 0.4306 data_time: 0.1151 memory: 6806 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0154 loss_cls: 0.0852 acc: 95.1904 loss_bbox: 0.1330 loss_mask: 0.1957 loss: 0.4362 2022/08/26 18:22:30 - mmengine - INFO - Epoch(train) [150][70/125] lr: 8.0000e-04 eta: 0:08:58 time: 0.4372 data_time: 0.1222 memory: 6463 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0146 loss_cls: 0.0918 acc: 97.4609 loss_bbox: 0.1384 loss_mask: 0.1996 loss: 0.4517 2022/08/26 18:22:32 - mmengine - INFO - Epoch(train) [150][75/125] lr: 8.0000e-04 eta: 0:08:58 time: 0.3501 data_time: 0.0695 memory: 6796 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0124 loss_cls: 0.0881 acc: 96.7041 loss_bbox: 0.1259 loss_mask: 0.1992 loss: 0.4331 2022/08/26 18:22:34 - mmengine - INFO - Epoch(train) [150][80/125] lr: 8.0000e-04 eta: 0:08:54 time: 0.3701 data_time: 0.0787 memory: 6555 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0139 loss_cls: 0.1021 acc: 95.3125 loss_bbox: 0.1418 loss_mask: 0.2125 loss: 0.4792 2022/08/26 18:22:36 - mmengine - INFO - Epoch(train) [150][85/125] lr: 8.0000e-04 eta: 0:08:54 time: 0.4097 data_time: 0.1313 memory: 6303 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0111 loss_cls: 0.0935 acc: 97.6074 loss_bbox: 0.1333 loss_mask: 0.1999 loss: 0.4459 2022/08/26 18:22:38 - mmengine - INFO - Epoch(train) [150][90/125] lr: 8.0000e-04 eta: 0:08:50 time: 0.4603 data_time: 0.1930 memory: 6147 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0091 loss_cls: 0.0788 acc: 96.3379 loss_bbox: 0.1031 loss_mask: 0.1827 loss: 0.3813 2022/08/26 18:22:41 - mmengine - INFO - Epoch(train) [150][95/125] lr: 8.0000e-04 eta: 0:08:50 time: 0.4800 data_time: 0.2122 memory: 6317 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0093 loss_cls: 0.0831 acc: 95.2393 loss_bbox: 0.1089 loss_mask: 0.1845 loss: 0.3943 2022/08/26 18:22:43 - mmengine - INFO - Epoch(train) [150][100/125] lr: 8.0000e-04 eta: 0:08:46 time: 0.4252 data_time: 0.1138 memory: 6525 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0085 loss_cls: 0.0796 acc: 96.3379 loss_bbox: 0.1171 loss_mask: 0.1822 loss: 0.3936 2022/08/26 18:22:44 - mmengine - INFO - Epoch(train) [150][105/125] lr: 8.0000e-04 eta: 0:08:46 time: 0.3727 data_time: 0.0628 memory: 6457 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0069 loss_cls: 0.0764 acc: 96.4355 loss_bbox: 0.1080 loss_mask: 0.1840 loss: 0.3797 2022/08/26 18:22:47 - mmengine - INFO - Epoch(train) [150][110/125] lr: 8.0000e-04 eta: 0:08:41 time: 0.4213 data_time: 0.1570 memory: 6298 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0063 loss_cls: 0.0703 acc: 97.3633 loss_bbox: 0.0994 loss_mask: 0.1954 loss: 0.3764 2022/08/26 18:22:49 - mmengine - INFO - Epoch(train) [150][115/125] lr: 8.0000e-04 eta: 0:08:41 time: 0.4264 data_time: 0.1573 memory: 6620 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0088 loss_cls: 0.0680 acc: 96.6553 loss_bbox: 0.1014 loss_mask: 0.1912 loss: 0.3748 2022/08/26 18:22:50 - mmengine - INFO - Epoch(train) [150][120/125] lr: 8.0000e-04 eta: 0:08:37 time: 0.3468 data_time: 0.0688 memory: 6390 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0107 loss_cls: 0.0718 acc: 97.2656 loss_bbox: 0.1132 loss_mask: 0.1905 loss: 0.3915 2022/08/26 18:22:52 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:22:52 - mmengine - INFO - Epoch(train) [150][125/125] lr: 8.0000e-04 eta: 0:08:37 time: 0.3290 data_time: 0.0456 memory: 6777 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0107 loss_cls: 0.0885 acc: 95.1660 loss_bbox: 0.1315 loss_mask: 0.2057 loss: 0.4418 2022/08/26 18:22:55 - mmengine - INFO - Epoch(train) [151][5/125] lr: 8.0000e-04 eta: 0:08:37 time: 0.4978 data_time: 0.2146 memory: 6409 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0107 loss_cls: 0.0858 acc: 97.9980 loss_bbox: 0.1252 loss_mask: 0.1974 loss: 0.4254 2022/08/26 18:22:57 - mmengine - INFO - Epoch(train) [151][10/125] lr: 8.0000e-04 eta: 0:08:31 time: 0.5271 data_time: 0.2319 memory: 6564 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0113 loss_cls: 0.0712 acc: 98.2910 loss_bbox: 0.1143 loss_mask: 0.1851 loss: 0.3885 2022/08/26 18:22:59 - mmengine - INFO - Epoch(train) [151][15/125] lr: 8.0000e-04 eta: 0:08:31 time: 0.3946 data_time: 0.1015 memory: 6412 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0114 loss_cls: 0.0816 acc: 97.7295 loss_bbox: 0.1247 loss_mask: 0.1894 loss: 0.4134 2022/08/26 18:23:01 - mmengine - INFO - Epoch(train) [151][20/125] lr: 8.0000e-04 eta: 0:08:27 time: 0.3770 data_time: 0.1028 memory: 6538 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0098 loss_cls: 0.0809 acc: 98.1689 loss_bbox: 0.1315 loss_mask: 0.1992 loss: 0.4274 2022/08/26 18:23:03 - mmengine - INFO - Epoch(train) [151][25/125] lr: 8.0000e-04 eta: 0:08:27 time: 0.3595 data_time: 0.0796 memory: 6623 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0085 loss_cls: 0.0826 acc: 96.8262 loss_bbox: 0.1353 loss_mask: 0.2041 loss: 0.4356 2022/08/26 18:23:05 - mmengine - INFO - Epoch(train) [151][30/125] lr: 8.0000e-04 eta: 0:08:23 time: 0.3438 data_time: 0.0665 memory: 6653 loss_rpn_cls: 0.0045 loss_rpn_bbox: 0.0086 loss_cls: 0.0886 acc: 97.2656 loss_bbox: 0.1334 loss_mask: 0.2032 loss: 0.4384 2022/08/26 18:23:06 - mmengine - INFO - Epoch(train) [151][35/125] lr: 8.0000e-04 eta: 0:08:23 time: 0.3219 data_time: 0.0488 memory: 6228 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0092 loss_cls: 0.0793 acc: 96.5332 loss_bbox: 0.1183 loss_mask: 0.1973 loss: 0.4101 2022/08/26 18:23:09 - mmengine - INFO - Epoch(train) [151][40/125] lr: 8.0000e-04 eta: 0:08:19 time: 0.4527 data_time: 0.1800 memory: 6346 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0084 loss_cls: 0.0694 acc: 98.2422 loss_bbox: 0.1016 loss_mask: 0.1881 loss: 0.3730 2022/08/26 18:23:12 - mmengine - INFO - Epoch(train) [151][45/125] lr: 8.0000e-04 eta: 0:08:19 time: 0.5856 data_time: 0.2330 memory: 6473 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0123 loss_cls: 0.0786 acc: 97.6318 loss_bbox: 0.1197 loss_mask: 0.1902 loss: 0.4070 2022/08/26 18:23:14 - mmengine - INFO - Epoch(train) [151][50/125] lr: 8.0000e-04 eta: 0:08:15 time: 0.4646 data_time: 0.1082 memory: 6343 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0141 loss_cls: 0.0795 acc: 97.0459 loss_bbox: 0.1190 loss_mask: 0.1951 loss: 0.4144 2022/08/26 18:23:15 - mmengine - INFO - Epoch(train) [151][55/125] lr: 8.0000e-04 eta: 0:08:15 time: 0.3438 data_time: 0.0711 memory: 6519 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0100 loss_cls: 0.0774 acc: 97.0459 loss_bbox: 0.1132 loss_mask: 0.1954 loss: 0.4023 2022/08/26 18:23:17 - mmengine - INFO - Epoch(train) [151][60/125] lr: 8.0000e-04 eta: 0:08:10 time: 0.3765 data_time: 0.0984 memory: 6852 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0096 loss_cls: 0.0853 acc: 97.6807 loss_bbox: 0.1301 loss_mask: 0.1962 loss: 0.4281 2022/08/26 18:23:19 - mmengine - INFO - Epoch(train) [151][65/125] lr: 8.0000e-04 eta: 0:08:10 time: 0.3661 data_time: 0.0847 memory: 6930 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0092 loss_cls: 0.0748 acc: 98.3887 loss_bbox: 0.1192 loss_mask: 0.1819 loss: 0.3911 2022/08/26 18:23:21 - mmengine - INFO - Epoch(train) [151][70/125] lr: 8.0000e-04 eta: 0:08:06 time: 0.3657 data_time: 0.0890 memory: 6631 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0083 loss_cls: 0.0702 acc: 96.9971 loss_bbox: 0.1121 loss_mask: 0.1772 loss: 0.3734 2022/08/26 18:23:23 - mmengine - INFO - Epoch(train) [151][75/125] lr: 8.0000e-04 eta: 0:08:06 time: 0.3895 data_time: 0.1106 memory: 6183 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0079 loss_cls: 0.0738 acc: 96.4355 loss_bbox: 0.1052 loss_mask: 0.1935 loss: 0.3861 2022/08/26 18:23:25 - mmengine - INFO - Epoch(train) [151][80/125] lr: 8.0000e-04 eta: 0:08:02 time: 0.3691 data_time: 0.0899 memory: 6509 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0074 loss_cls: 0.0701 acc: 98.0713 loss_bbox: 0.0939 loss_mask: 0.2010 loss: 0.3780 2022/08/26 18:23:27 - mmengine - INFO - Epoch(train) [151][85/125] lr: 8.0000e-04 eta: 0:08:02 time: 0.3893 data_time: 0.0874 memory: 8046 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0116 loss_cls: 0.0780 acc: 97.7051 loss_bbox: 0.1187 loss_mask: 0.2005 loss: 0.4157 2022/08/26 18:23:29 - mmengine - INFO - Epoch(train) [151][90/125] lr: 8.0000e-04 eta: 0:07:58 time: 0.4023 data_time: 0.1014 memory: 6538 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0149 loss_cls: 0.0880 acc: 97.1680 loss_bbox: 0.1370 loss_mask: 0.2010 loss: 0.4478 2022/08/26 18:23:30 - mmengine - INFO - Epoch(train) [151][95/125] lr: 8.0000e-04 eta: 0:07:58 time: 0.3502 data_time: 0.0763 memory: 6311 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0114 loss_cls: 0.0827 acc: 97.4609 loss_bbox: 0.1218 loss_mask: 0.2053 loss: 0.4258 2022/08/26 18:23:33 - mmengine - INFO - Epoch(train) [151][100/125] lr: 8.0000e-04 eta: 0:07:54 time: 0.4493 data_time: 0.1251 memory: 6463 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0124 loss_cls: 0.0796 acc: 96.3867 loss_bbox: 0.1189 loss_mask: 0.2090 loss: 0.4276 2022/08/26 18:23:35 - mmengine - INFO - Epoch(train) [151][105/125] lr: 8.0000e-04 eta: 0:07:54 time: 0.4766 data_time: 0.1532 memory: 6226 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0126 loss_cls: 0.0768 acc: 98.0469 loss_bbox: 0.1172 loss_mask: 0.2036 loss: 0.4192 2022/08/26 18:23:37 - mmengine - INFO - Epoch(train) [151][110/125] lr: 8.0000e-04 eta: 0:07:50 time: 0.3651 data_time: 0.0998 memory: 6572 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0082 loss_cls: 0.0699 acc: 97.8027 loss_bbox: 0.1039 loss_mask: 0.2011 loss: 0.3903 2022/08/26 18:23:41 - mmengine - INFO - Epoch(train) [151][115/125] lr: 8.0000e-04 eta: 0:07:50 time: 0.5900 data_time: 0.2234 memory: 6196 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0079 loss_cls: 0.0692 acc: 97.0215 loss_bbox: 0.1052 loss_mask: 0.2038 loss: 0.3939 2022/08/26 18:23:45 - mmengine - INFO - Epoch(train) [151][120/125] lr: 8.0000e-04 eta: 0:07:46 time: 0.7774 data_time: 0.3708 memory: 6323 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0092 loss_cls: 0.0773 acc: 94.3115 loss_bbox: 0.1125 loss_mask: 0.2051 loss: 0.4114 2022/08/26 18:23:46 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:23:46 - mmengine - INFO - Epoch(train) [151][125/125] lr: 8.0000e-04 eta: 0:07:46 time: 0.5319 data_time: 0.2240 memory: 6738 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0126 loss_cls: 0.0840 acc: 96.7041 loss_bbox: 0.1273 loss_mask: 0.1948 loss: 0.4263 2022/08/26 18:23:50 - mmengine - INFO - Epoch(train) [152][5/125] lr: 8.0000e-04 eta: 0:07:46 time: 0.5308 data_time: 0.2523 memory: 6732 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0146 loss_cls: 0.0839 acc: 97.6074 loss_bbox: 0.1349 loss_mask: 0.1936 loss: 0.4345 2022/08/26 18:23:52 - mmengine - INFO - Epoch(train) [152][10/125] lr: 8.0000e-04 eta: 0:07:40 time: 0.5377 data_time: 0.2593 memory: 6347 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0120 loss_cls: 0.0770 acc: 97.1191 loss_bbox: 0.1179 loss_mask: 0.2023 loss: 0.4155 2022/08/26 18:23:54 - mmengine - INFO - Epoch(train) [152][15/125] lr: 8.0000e-04 eta: 0:07:40 time: 0.3884 data_time: 0.1110 memory: 6415 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0093 loss_cls: 0.0772 acc: 97.9980 loss_bbox: 0.1135 loss_mask: 0.1974 loss: 0.4039 2022/08/26 18:23:56 - mmengine - INFO - Epoch(train) [152][20/125] lr: 8.0000e-04 eta: 0:07:35 time: 0.3782 data_time: 0.1028 memory: 6228 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0094 loss_cls: 0.0760 acc: 97.9980 loss_bbox: 0.1103 loss_mask: 0.1854 loss: 0.3875 2022/08/26 18:23:58 - mmengine - INFO - Epoch(train) [152][25/125] lr: 8.0000e-04 eta: 0:07:35 time: 0.3406 data_time: 0.0748 memory: 6330 loss_rpn_cls: 0.0039 loss_rpn_bbox: 0.0075 loss_cls: 0.0633 acc: 98.4863 loss_bbox: 0.0948 loss_mask: 0.1934 loss: 0.3628 2022/08/26 18:24:00 - mmengine - INFO - Epoch(train) [152][30/125] lr: 8.0000e-04 eta: 0:07:31 time: 0.3829 data_time: 0.1037 memory: 6740 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0076 loss_cls: 0.0690 acc: 98.2666 loss_bbox: 0.1028 loss_mask: 0.1987 loss: 0.3837 2022/08/26 18:24:02 - mmengine - INFO - Epoch(train) [152][35/125] lr: 8.0000e-04 eta: 0:07:31 time: 0.4687 data_time: 0.1793 memory: 6437 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0101 loss_cls: 0.0773 acc: 97.5586 loss_bbox: 0.1145 loss_mask: 0.1939 loss: 0.4029 2022/08/26 18:24:04 - mmengine - INFO - Epoch(train) [152][40/125] lr: 8.0000e-04 eta: 0:07:27 time: 0.4524 data_time: 0.1748 memory: 6363 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0110 loss_cls: 0.0791 acc: 96.3135 loss_bbox: 0.1091 loss_mask: 0.1917 loss: 0.3984 2022/08/26 18:24:06 - mmengine - INFO - Epoch(train) [152][45/125] lr: 8.0000e-04 eta: 0:07:27 time: 0.3578 data_time: 0.0821 memory: 6574 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0090 loss_cls: 0.0778 acc: 97.1680 loss_bbox: 0.1088 loss_mask: 0.1957 loss: 0.3994 2022/08/26 18:24:08 - mmengine - INFO - Epoch(train) [152][50/125] lr: 8.0000e-04 eta: 0:07:23 time: 0.3955 data_time: 0.1229 memory: 6408 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0085 loss_cls: 0.0752 acc: 98.1201 loss_bbox: 0.1101 loss_mask: 0.2033 loss: 0.4027 2022/08/26 18:24:11 - mmengine - INFO - Epoch(train) [152][55/125] lr: 8.0000e-04 eta: 0:07:23 time: 0.5162 data_time: 0.2418 memory: 6669 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0116 loss_cls: 0.0819 acc: 96.1670 loss_bbox: 0.1214 loss_mask: 0.2048 loss: 0.4264 2022/08/26 18:24:13 - mmengine - INFO - Epoch(train) [152][60/125] lr: 8.0000e-04 eta: 0:07:19 time: 0.5083 data_time: 0.1762 memory: 6450 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0095 loss_cls: 0.0792 acc: 97.6562 loss_bbox: 0.1232 loss_mask: 0.1959 loss: 0.4145 2022/08/26 18:24:15 - mmengine - INFO - Epoch(train) [152][65/125] lr: 8.0000e-04 eta: 0:07:19 time: 0.4172 data_time: 0.0875 memory: 6852 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0084 loss_cls: 0.0800 acc: 97.5830 loss_bbox: 0.1185 loss_mask: 0.1982 loss: 0.4119 2022/08/26 18:24:17 - mmengine - INFO - Epoch(train) [152][70/125] lr: 8.0000e-04 eta: 0:07:15 time: 0.3910 data_time: 0.1080 memory: 6706 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0102 loss_cls: 0.0894 acc: 96.6309 loss_bbox: 0.1323 loss_mask: 0.2025 loss: 0.4415 2022/08/26 18:24:19 - mmengine - INFO - Epoch(train) [152][75/125] lr: 8.0000e-04 eta: 0:07:15 time: 0.3790 data_time: 0.0975 memory: 6911 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0110 loss_cls: 0.0896 acc: 95.5078 loss_bbox: 0.1401 loss_mask: 0.1884 loss: 0.4339 2022/08/26 18:24:21 - mmengine - INFO - Epoch(train) [152][80/125] lr: 8.0000e-04 eta: 0:07:11 time: 0.3493 data_time: 0.0803 memory: 6453 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0092 loss_cls: 0.0784 acc: 98.1445 loss_bbox: 0.1212 loss_mask: 0.1944 loss: 0.4081 2022/08/26 18:24:22 - mmengine - INFO - Epoch(train) [152][85/125] lr: 8.0000e-04 eta: 0:07:11 time: 0.3266 data_time: 0.0533 memory: 6453 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0086 loss_cls: 0.0738 acc: 96.8750 loss_bbox: 0.1142 loss_mask: 0.2024 loss: 0.4073 2022/08/26 18:24:24 - mmengine - INFO - Epoch(train) [152][90/125] lr: 8.0000e-04 eta: 0:07:07 time: 0.3616 data_time: 0.0686 memory: 6295 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0107 loss_cls: 0.0755 acc: 95.9473 loss_bbox: 0.1185 loss_mask: 0.1964 loss: 0.4101 2022/08/26 18:24:26 - mmengine - INFO - Epoch(train) [152][95/125] lr: 8.0000e-04 eta: 0:07:07 time: 0.4008 data_time: 0.1139 memory: 6498 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0100 loss_cls: 0.0757 acc: 96.3379 loss_bbox: 0.1151 loss_mask: 0.1893 loss: 0.3968 2022/08/26 18:24:28 - mmengine - INFO - Epoch(train) [152][100/125] lr: 8.0000e-04 eta: 0:07:02 time: 0.3812 data_time: 0.1076 memory: 6495 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0094 loss_cls: 0.0832 acc: 96.9482 loss_bbox: 0.1213 loss_mask: 0.1971 loss: 0.4172 2022/08/26 18:24:30 - mmengine - INFO - Epoch(train) [152][105/125] lr: 8.0000e-04 eta: 0:07:02 time: 0.3536 data_time: 0.0759 memory: 6457 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0107 loss_cls: 0.0835 acc: 97.9248 loss_bbox: 0.1225 loss_mask: 0.2022 loss: 0.4312 2022/08/26 18:24:33 - mmengine - INFO - Epoch(train) [152][110/125] lr: 8.0000e-04 eta: 0:06:58 time: 0.4575 data_time: 0.1273 memory: 6689 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0107 loss_cls: 0.0845 acc: 96.8262 loss_bbox: 0.1361 loss_mask: 0.1951 loss: 0.4395 2022/08/26 18:24:34 - mmengine - INFO - Epoch(train) [152][115/125] lr: 8.0000e-04 eta: 0:06:58 time: 0.4687 data_time: 0.1230 memory: 6675 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0095 loss_cls: 0.0816 acc: 98.3887 loss_bbox: 0.1303 loss_mask: 0.1858 loss: 0.4137 2022/08/26 18:24:36 - mmengine - INFO - Epoch(train) [152][120/125] lr: 8.0000e-04 eta: 0:06:54 time: 0.3909 data_time: 0.0969 memory: 6512 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0091 loss_cls: 0.0702 acc: 97.9248 loss_bbox: 0.1061 loss_mask: 0.1799 loss: 0.3717 2022/08/26 18:24:38 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:24:38 - mmengine - INFO - Epoch(train) [152][125/125] lr: 8.0000e-04 eta: 0:06:54 time: 0.3527 data_time: 0.0816 memory: 6333 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0079 loss_cls: 0.0732 acc: 97.8271 loss_bbox: 0.1118 loss_mask: 0.1923 loss: 0.3908 2022/08/26 18:24:41 - mmengine - INFO - Epoch(train) [153][5/125] lr: 8.0000e-04 eta: 0:06:54 time: 0.4730 data_time: 0.2077 memory: 6353 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0082 loss_cls: 0.0705 acc: 98.6816 loss_bbox: 0.1082 loss_mask: 0.1844 loss: 0.3763 2022/08/26 18:24:43 - mmengine - INFO - Epoch(train) [153][10/125] lr: 8.0000e-04 eta: 0:06:48 time: 0.4960 data_time: 0.2252 memory: 6369 loss_rpn_cls: 0.0040 loss_rpn_bbox: 0.0082 loss_cls: 0.0650 acc: 96.6553 loss_bbox: 0.0963 loss_mask: 0.1716 loss: 0.3450 2022/08/26 18:24:46 - mmengine - INFO - Epoch(train) [153][15/125] lr: 8.0000e-04 eta: 0:06:48 time: 0.4157 data_time: 0.1431 memory: 7065 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0080 loss_cls: 0.0666 acc: 98.9746 loss_bbox: 0.0968 loss_mask: 0.1739 loss: 0.3496 2022/08/26 18:24:48 - mmengine - INFO - Epoch(train) [153][20/125] lr: 8.0000e-04 eta: 0:06:44 time: 0.4360 data_time: 0.1608 memory: 6852 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0097 loss_cls: 0.0715 acc: 97.9492 loss_bbox: 0.1093 loss_mask: 0.1813 loss: 0.3796 2022/08/26 18:24:49 - mmengine - INFO - Epoch(train) [153][25/125] lr: 8.0000e-04 eta: 0:06:44 time: 0.3935 data_time: 0.1054 memory: 6307 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0091 loss_cls: 0.0755 acc: 96.7529 loss_bbox: 0.1162 loss_mask: 0.2080 loss: 0.4193 2022/08/26 18:24:51 - mmengine - INFO - Epoch(train) [153][30/125] lr: 8.0000e-04 eta: 0:06:40 time: 0.3726 data_time: 0.0916 memory: 6699 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0085 loss_cls: 0.0811 acc: 96.0205 loss_bbox: 0.1170 loss_mask: 0.2152 loss: 0.4314 2022/08/26 18:24:54 - mmengine - INFO - Epoch(train) [153][35/125] lr: 8.0000e-04 eta: 0:06:40 time: 0.4023 data_time: 0.0900 memory: 6190 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0082 loss_cls: 0.0794 acc: 96.8750 loss_bbox: 0.1134 loss_mask: 0.2016 loss: 0.4090 2022/08/26 18:24:55 - mmengine - INFO - Epoch(train) [153][40/125] lr: 8.0000e-04 eta: 0:06:35 time: 0.4184 data_time: 0.0987 memory: 6835 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0101 loss_cls: 0.0848 acc: 96.0693 loss_bbox: 0.1359 loss_mask: 0.1980 loss: 0.4347 2022/08/26 18:24:57 - mmengine - INFO - Epoch(train) [153][45/125] lr: 8.0000e-04 eta: 0:06:35 time: 0.3597 data_time: 0.0843 memory: 6436 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0111 loss_cls: 0.0925 acc: 96.9238 loss_bbox: 0.1505 loss_mask: 0.1991 loss: 0.4592 2022/08/26 18:24:59 - mmengine - INFO - Epoch(train) [153][50/125] lr: 8.0000e-04 eta: 0:06:31 time: 0.3769 data_time: 0.1045 memory: 6797 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0104 loss_cls: 0.0829 acc: 98.4619 loss_bbox: 0.1316 loss_mask: 0.1936 loss: 0.4242 2022/08/26 18:25:01 - mmengine - INFO - Epoch(train) [153][55/125] lr: 8.0000e-04 eta: 0:06:31 time: 0.3899 data_time: 0.1144 memory: 6571 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0108 loss_cls: 0.0897 acc: 95.0439 loss_bbox: 0.1362 loss_mask: 0.1978 loss: 0.4448 2022/08/26 18:25:03 - mmengine - INFO - Epoch(train) [153][60/125] lr: 8.0000e-04 eta: 0:06:27 time: 0.3887 data_time: 0.1037 memory: 6150 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0084 loss_cls: 0.0854 acc: 97.2656 loss_bbox: 0.1201 loss_mask: 0.2008 loss: 0.4244 2022/08/26 18:25:05 - mmengine - INFO - Epoch(train) [153][65/125] lr: 8.0000e-04 eta: 0:06:27 time: 0.3712 data_time: 0.0851 memory: 6787 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0079 loss_cls: 0.0748 acc: 94.4336 loss_bbox: 0.1144 loss_mask: 0.1892 loss: 0.3932 2022/08/26 18:25:07 - mmengine - INFO - Epoch(train) [153][70/125] lr: 8.0000e-04 eta: 0:06:23 time: 0.3582 data_time: 0.0754 memory: 6470 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0099 loss_cls: 0.0730 acc: 97.7051 loss_bbox: 0.1183 loss_mask: 0.1847 loss: 0.3937 2022/08/26 18:25:09 - mmengine - INFO - Epoch(train) [153][75/125] lr: 8.0000e-04 eta: 0:06:23 time: 0.4184 data_time: 0.1311 memory: 6603 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0134 loss_cls: 0.0887 acc: 95.9473 loss_bbox: 0.1310 loss_mask: 0.1881 loss: 0.4305 2022/08/26 18:25:11 - mmengine - INFO - Epoch(train) [153][80/125] lr: 8.0000e-04 eta: 0:06:19 time: 0.4102 data_time: 0.1310 memory: 6412 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0128 loss_cls: 0.0913 acc: 97.9248 loss_bbox: 0.1322 loss_mask: 0.2110 loss: 0.4565 2022/08/26 18:25:13 - mmengine - INFO - Epoch(train) [153][85/125] lr: 8.0000e-04 eta: 0:06:19 time: 0.3742 data_time: 0.0911 memory: 6678 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0112 loss_cls: 0.0806 acc: 95.0928 loss_bbox: 0.1242 loss_mask: 0.2107 loss: 0.4346 2022/08/26 18:25:14 - mmengine - INFO - Epoch(train) [153][90/125] lr: 8.0000e-04 eta: 0:06:15 time: 0.3633 data_time: 0.0737 memory: 6571 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0122 loss_cls: 0.0825 acc: 95.9717 loss_bbox: 0.1355 loss_mask: 0.1959 loss: 0.4327 2022/08/26 18:25:16 - mmengine - INFO - Epoch(train) [153][95/125] lr: 8.0000e-04 eta: 0:06:15 time: 0.3373 data_time: 0.0596 memory: 6398 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0100 loss_cls: 0.0772 acc: 96.6553 loss_bbox: 0.1245 loss_mask: 0.1972 loss: 0.4158 2022/08/26 18:25:18 - mmengine - INFO - Epoch(train) [153][100/125] lr: 8.0000e-04 eta: 0:06:11 time: 0.3624 data_time: 0.0875 memory: 6526 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0079 loss_cls: 0.0686 acc: 97.6318 loss_bbox: 0.1093 loss_mask: 0.1890 loss: 0.3816 2022/08/26 18:25:20 - mmengine - INFO - Epoch(train) [153][105/125] lr: 8.0000e-04 eta: 0:06:11 time: 0.4261 data_time: 0.1491 memory: 6662 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0097 loss_cls: 0.0815 acc: 97.2656 loss_bbox: 0.1227 loss_mask: 0.1963 loss: 0.4168 2022/08/26 18:25:23 - mmengine - INFO - Epoch(train) [153][110/125] lr: 8.0000e-04 eta: 0:06:07 time: 0.5194 data_time: 0.1449 memory: 6851 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0092 loss_cls: 0.0888 acc: 97.2412 loss_bbox: 0.1302 loss_mask: 0.2014 loss: 0.4356 2022/08/26 18:25:25 - mmengine - INFO - Epoch(train) [153][115/125] lr: 8.0000e-04 eta: 0:06:07 time: 0.5053 data_time: 0.1213 memory: 6273 loss_rpn_cls: 0.0034 loss_rpn_bbox: 0.0062 loss_cls: 0.0682 acc: 98.3887 loss_bbox: 0.1014 loss_mask: 0.1835 loss: 0.3628 2022/08/26 18:25:27 - mmengine - INFO - Epoch(train) [153][120/125] lr: 8.0000e-04 eta: 0:06:02 time: 0.3983 data_time: 0.1113 memory: 6453 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0088 loss_cls: 0.0685 acc: 97.9248 loss_bbox: 0.1020 loss_mask: 0.1850 loss: 0.3694 2022/08/26 18:25:29 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:25:29 - mmengine - INFO - Epoch(train) [153][125/125] lr: 8.0000e-04 eta: 0:06:02 time: 0.3809 data_time: 0.0747 memory: 7897 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0117 loss_cls: 0.0858 acc: 96.7773 loss_bbox: 0.1370 loss_mask: 0.2035 loss: 0.4444 2022/08/26 18:25:33 - mmengine - INFO - Epoch(train) [154][5/125] lr: 8.0000e-04 eta: 0:06:02 time: 0.5614 data_time: 0.2555 memory: 6852 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0115 loss_cls: 0.0751 acc: 97.7295 loss_bbox: 0.1258 loss_mask: 0.1986 loss: 0.4171 2022/08/26 18:25:35 - mmengine - INFO - Epoch(train) [154][10/125] lr: 8.0000e-04 eta: 0:05:56 time: 0.5580 data_time: 0.2813 memory: 6509 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0097 loss_cls: 0.0723 acc: 97.3389 loss_bbox: 0.1153 loss_mask: 0.1877 loss: 0.3929 2022/08/26 18:25:37 - mmengine - INFO - Epoch(train) [154][15/125] lr: 8.0000e-04 eta: 0:05:56 time: 0.3641 data_time: 0.0919 memory: 6315 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0096 loss_cls: 0.0846 acc: 96.5820 loss_bbox: 0.1250 loss_mask: 0.2000 loss: 0.4279 2022/08/26 18:25:39 - mmengine - INFO - Epoch(train) [154][20/125] lr: 8.0000e-04 eta: 0:05:52 time: 0.4450 data_time: 0.1768 memory: 6548 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0122 loss_cls: 0.0793 acc: 95.4590 loss_bbox: 0.1192 loss_mask: 0.2149 loss: 0.4340 2022/08/26 18:25:41 - mmengine - INFO - Epoch(train) [154][25/125] lr: 8.0000e-04 eta: 0:05:52 time: 0.4269 data_time: 0.1546 memory: 6764 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0134 loss_cls: 0.0799 acc: 97.5342 loss_bbox: 0.1239 loss_mask: 0.2051 loss: 0.4298 2022/08/26 18:25:43 - mmengine - INFO - Epoch(train) [154][30/125] lr: 8.0000e-04 eta: 0:05:48 time: 0.3928 data_time: 0.0567 memory: 6568 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0144 loss_cls: 0.0805 acc: 94.6289 loss_bbox: 0.1237 loss_mask: 0.2000 loss: 0.4258 2022/08/26 18:25:45 - mmengine - INFO - Epoch(train) [154][35/125] lr: 8.0000e-04 eta: 0:05:48 time: 0.4338 data_time: 0.1016 memory: 6544 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0115 loss_cls: 0.0824 acc: 96.3867 loss_bbox: 0.1210 loss_mask: 0.1992 loss: 0.4217 2022/08/26 18:25:47 - mmengine - INFO - Epoch(train) [154][40/125] lr: 8.0000e-04 eta: 0:05:44 time: 0.3780 data_time: 0.1079 memory: 6506 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0091 loss_cls: 0.0854 acc: 96.5088 loss_bbox: 0.1271 loss_mask: 0.1899 loss: 0.4182 2022/08/26 18:25:49 - mmengine - INFO - Epoch(train) [154][45/125] lr: 8.0000e-04 eta: 0:05:44 time: 0.3812 data_time: 0.1141 memory: 6261 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0090 loss_cls: 0.0767 acc: 98.4619 loss_bbox: 0.1151 loss_mask: 0.1930 loss: 0.4016 2022/08/26 18:25:51 - mmengine - INFO - Epoch(train) [154][50/125] lr: 8.0000e-04 eta: 0:05:40 time: 0.3921 data_time: 0.1243 memory: 6685 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0082 loss_cls: 0.0717 acc: 96.2402 loss_bbox: 0.1067 loss_mask: 0.1935 loss: 0.3876 2022/08/26 18:25:53 - mmengine - INFO - Epoch(train) [154][55/125] lr: 8.0000e-04 eta: 0:05:40 time: 0.3950 data_time: 0.0935 memory: 7757 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0101 loss_cls: 0.0783 acc: 97.3389 loss_bbox: 0.1204 loss_mask: 0.1857 loss: 0.4003 2022/08/26 18:25:55 - mmengine - INFO - Epoch(train) [154][60/125] lr: 8.0000e-04 eta: 0:05:36 time: 0.3837 data_time: 0.0593 memory: 7777 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0113 loss_cls: 0.0861 acc: 98.6572 loss_bbox: 0.1252 loss_mask: 0.1830 loss: 0.4146 2022/08/26 18:25:57 - mmengine - INFO - Epoch(train) [154][65/125] lr: 8.0000e-04 eta: 0:05:36 time: 0.3799 data_time: 0.0845 memory: 6431 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0095 loss_cls: 0.0798 acc: 98.0225 loss_bbox: 0.1125 loss_mask: 0.1812 loss: 0.3922 2022/08/26 18:25:59 - mmengine - INFO - Epoch(train) [154][70/125] lr: 8.0000e-04 eta: 0:05:31 time: 0.3990 data_time: 0.1024 memory: 6872 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0099 loss_cls: 0.0763 acc: 98.3154 loss_bbox: 0.1126 loss_mask: 0.1755 loss: 0.3799 2022/08/26 18:26:01 - mmengine - INFO - Epoch(train) [154][75/125] lr: 8.0000e-04 eta: 0:05:31 time: 0.3790 data_time: 0.0797 memory: 6265 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0112 loss_cls: 0.0809 acc: 96.8262 loss_bbox: 0.1225 loss_mask: 0.1866 loss: 0.4063 2022/08/26 18:26:03 - mmengine - INFO - Epoch(train) [154][80/125] lr: 8.0000e-04 eta: 0:05:27 time: 0.3952 data_time: 0.0744 memory: 6016 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0092 loss_cls: 0.0670 acc: 97.8516 loss_bbox: 0.1063 loss_mask: 0.1938 loss: 0.3815 2022/08/26 18:26:04 - mmengine - INFO - Epoch(train) [154][85/125] lr: 8.0000e-04 eta: 0:05:27 time: 0.3925 data_time: 0.0676 memory: 6669 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0092 loss_cls: 0.0730 acc: 96.8750 loss_bbox: 0.1129 loss_mask: 0.1902 loss: 0.3908 2022/08/26 18:26:07 - mmengine - INFO - Epoch(train) [154][90/125] lr: 8.0000e-04 eta: 0:05:23 time: 0.3852 data_time: 0.1024 memory: 6915 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0106 loss_cls: 0.0893 acc: 93.9209 loss_bbox: 0.1337 loss_mask: 0.1973 loss: 0.4378 2022/08/26 18:26:09 - mmengine - INFO - Epoch(train) [154][95/125] lr: 8.0000e-04 eta: 0:05:23 time: 0.4421 data_time: 0.1616 memory: 6764 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0110 loss_cls: 0.0870 acc: 95.6055 loss_bbox: 0.1311 loss_mask: 0.1942 loss: 0.4314 2022/08/26 18:26:11 - mmengine - INFO - Epoch(train) [154][100/125] lr: 8.0000e-04 eta: 0:05:19 time: 0.3936 data_time: 0.1136 memory: 6740 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0113 loss_cls: 0.0850 acc: 98.9014 loss_bbox: 0.1214 loss_mask: 0.1939 loss: 0.4203 2022/08/26 18:26:12 - mmengine - INFO - Epoch(train) [154][105/125] lr: 8.0000e-04 eta: 0:05:19 time: 0.3392 data_time: 0.0572 memory: 6405 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0101 loss_cls: 0.0770 acc: 97.3145 loss_bbox: 0.1125 loss_mask: 0.1869 loss: 0.3951 2022/08/26 18:26:14 - mmengine - INFO - Epoch(train) [154][110/125] lr: 8.0000e-04 eta: 0:05:15 time: 0.3842 data_time: 0.0971 memory: 6363 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0104 loss_cls: 0.0748 acc: 97.5098 loss_bbox: 0.1120 loss_mask: 0.1859 loss: 0.3919 2022/08/26 18:26:16 - mmengine - INFO - Epoch(train) [154][115/125] lr: 8.0000e-04 eta: 0:05:15 time: 0.4040 data_time: 0.1198 memory: 6793 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0119 loss_cls: 0.0887 acc: 95.2393 loss_bbox: 0.1338 loss_mask: 0.1994 loss: 0.4434 2022/08/26 18:26:19 - mmengine - INFO - Epoch(train) [154][120/125] lr: 8.0000e-04 eta: 0:05:11 time: 0.4552 data_time: 0.1813 memory: 6269 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0111 loss_cls: 0.0840 acc: 97.7295 loss_bbox: 0.1298 loss_mask: 0.1919 loss: 0.4248 2022/08/26 18:26:21 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:26:21 - mmengine - INFO - Epoch(train) [154][125/125] lr: 8.0000e-04 eta: 0:05:11 time: 0.4330 data_time: 0.1623 memory: 6685 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0134 loss_cls: 0.0812 acc: 96.2402 loss_bbox: 0.1228 loss_mask: 0.1879 loss: 0.4153 2022/08/26 18:26:25 - mmengine - INFO - Epoch(train) [155][5/125] lr: 8.0000e-04 eta: 0:05:11 time: 0.5594 data_time: 0.1863 memory: 7925 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0161 loss_cls: 0.0878 acc: 97.0215 loss_bbox: 0.1360 loss_mask: 0.1910 loss: 0.4412 2022/08/26 18:26:26 - mmengine - INFO - Epoch(train) [155][10/125] lr: 8.0000e-04 eta: 0:05:05 time: 0.5680 data_time: 0.1939 memory: 6239 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0106 loss_cls: 0.0753 acc: 97.4365 loss_bbox: 0.1187 loss_mask: 0.1864 loss: 0.3972 2022/08/26 18:26:28 - mmengine - INFO - Epoch(train) [155][15/125] lr: 8.0000e-04 eta: 0:05:05 time: 0.3568 data_time: 0.0816 memory: 6626 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0062 loss_cls: 0.0724 acc: 96.6797 loss_bbox: 0.1128 loss_mask: 0.1816 loss: 0.3782 2022/08/26 18:26:31 - mmengine - INFO - Epoch(train) [155][20/125] lr: 8.0000e-04 eta: 0:05:00 time: 0.4098 data_time: 0.1312 memory: 6734 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0094 loss_cls: 0.0818 acc: 96.7773 loss_bbox: 0.1252 loss_mask: 0.1833 loss: 0.4073 2022/08/26 18:26:33 - mmengine - INFO - Epoch(train) [155][25/125] lr: 8.0000e-04 eta: 0:05:00 time: 0.4944 data_time: 0.1586 memory: 6770 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0122 loss_cls: 0.0883 acc: 96.3135 loss_bbox: 0.1363 loss_mask: 0.1802 loss: 0.4251 2022/08/26 18:26:35 - mmengine - INFO - Epoch(train) [155][30/125] lr: 8.0000e-04 eta: 0:04:56 time: 0.4232 data_time: 0.0910 memory: 6440 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0111 loss_cls: 0.0856 acc: 96.8750 loss_bbox: 0.1272 loss_mask: 0.1795 loss: 0.4102 2022/08/26 18:26:36 - mmengine - INFO - Epoch(train) [155][35/125] lr: 8.0000e-04 eta: 0:04:56 time: 0.3379 data_time: 0.0619 memory: 6698 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0101 loss_cls: 0.0803 acc: 98.3887 loss_bbox: 0.1250 loss_mask: 0.1808 loss: 0.4035 2022/08/26 18:26:38 - mmengine - INFO - Epoch(train) [155][40/125] lr: 8.0000e-04 eta: 0:04:52 time: 0.3437 data_time: 0.0653 memory: 6568 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0106 loss_cls: 0.0800 acc: 96.9727 loss_bbox: 0.1272 loss_mask: 0.1897 loss: 0.4151 2022/08/26 18:26:40 - mmengine - INFO - Epoch(train) [155][45/125] lr: 8.0000e-04 eta: 0:04:52 time: 0.3577 data_time: 0.0808 memory: 6476 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0094 loss_cls: 0.0760 acc: 98.2910 loss_bbox: 0.1214 loss_mask: 0.1932 loss: 0.4070 2022/08/26 18:26:42 - mmengine - INFO - Epoch(train) [155][50/125] lr: 8.0000e-04 eta: 0:04:48 time: 0.4063 data_time: 0.1318 memory: 6503 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0087 loss_cls: 0.0756 acc: 97.3145 loss_bbox: 0.1242 loss_mask: 0.1905 loss: 0.4055 2022/08/26 18:26:45 - mmengine - INFO - Epoch(train) [155][55/125] lr: 8.0000e-04 eta: 0:04:48 time: 0.4718 data_time: 0.1950 memory: 6433 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0087 loss_cls: 0.0751 acc: 97.9492 loss_bbox: 0.1187 loss_mask: 0.1932 loss: 0.4009 2022/08/26 18:26:47 - mmengine - INFO - Epoch(train) [155][60/125] lr: 8.0000e-04 eta: 0:04:44 time: 0.4300 data_time: 0.1552 memory: 6289 loss_rpn_cls: 0.0042 loss_rpn_bbox: 0.0068 loss_cls: 0.0682 acc: 98.7305 loss_bbox: 0.1047 loss_mask: 0.1849 loss: 0.3689 2022/08/26 18:26:48 - mmengine - INFO - Epoch(train) [155][65/125] lr: 8.0000e-04 eta: 0:04:44 time: 0.3490 data_time: 0.0707 memory: 6617 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0083 loss_cls: 0.0680 acc: 97.3633 loss_bbox: 0.1041 loss_mask: 0.1830 loss: 0.3689 2022/08/26 18:26:50 - mmengine - INFO - Epoch(train) [155][70/125] lr: 8.0000e-04 eta: 0:04:40 time: 0.3518 data_time: 0.0730 memory: 6519 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0103 loss_cls: 0.0771 acc: 96.6309 loss_bbox: 0.1194 loss_mask: 0.1979 loss: 0.4126 2022/08/26 18:26:52 - mmengine - INFO - Epoch(train) [155][75/125] lr: 8.0000e-04 eta: 0:04:40 time: 0.3840 data_time: 0.0837 memory: 7015 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0117 loss_cls: 0.0966 acc: 93.7256 loss_bbox: 0.1455 loss_mask: 0.2117 loss: 0.4785 2022/08/26 18:26:54 - mmengine - INFO - Epoch(train) [155][80/125] lr: 8.0000e-04 eta: 0:04:36 time: 0.3814 data_time: 0.0824 memory: 6376 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0108 loss_cls: 0.0964 acc: 95.0195 loss_bbox: 0.1465 loss_mask: 0.2082 loss: 0.4719 2022/08/26 18:26:56 - mmengine - INFO - Epoch(train) [155][85/125] lr: 8.0000e-04 eta: 0:04:36 time: 0.3653 data_time: 0.0987 memory: 6131 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0071 loss_cls: 0.0753 acc: 95.3857 loss_bbox: 0.1102 loss_mask: 0.1947 loss: 0.3920 2022/08/26 18:26:58 - mmengine - INFO - Epoch(train) [155][90/125] lr: 8.0000e-04 eta: 0:04:32 time: 0.3973 data_time: 0.1290 memory: 6067 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0088 loss_cls: 0.0721 acc: 96.2646 loss_bbox: 0.0969 loss_mask: 0.1920 loss: 0.3756 2022/08/26 18:27:01 - mmengine - INFO - Epoch(train) [155][95/125] lr: 8.0000e-04 eta: 0:04:32 time: 0.5610 data_time: 0.2580 memory: 6790 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0103 loss_cls: 0.0790 acc: 98.4131 loss_bbox: 0.1063 loss_mask: 0.1961 loss: 0.3993 2022/08/26 18:27:03 - mmengine - INFO - Epoch(train) [155][100/125] lr: 8.0000e-04 eta: 0:04:27 time: 0.5036 data_time: 0.2002 memory: 6587 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0103 loss_cls: 0.0880 acc: 94.9463 loss_bbox: 0.1283 loss_mask: 0.1996 loss: 0.4342 2022/08/26 18:27:05 - mmengine - INFO - Epoch(train) [155][105/125] lr: 8.0000e-04 eta: 0:04:27 time: 0.3200 data_time: 0.0424 memory: 6433 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0119 loss_cls: 0.0833 acc: 97.3633 loss_bbox: 0.1329 loss_mask: 0.2011 loss: 0.4371 2022/08/26 18:27:07 - mmengine - INFO - Epoch(train) [155][110/125] lr: 8.0000e-04 eta: 0:04:23 time: 0.3720 data_time: 0.0920 memory: 6409 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0104 loss_cls: 0.0772 acc: 97.7783 loss_bbox: 0.1214 loss_mask: 0.1912 loss: 0.4075 2022/08/26 18:27:10 - mmengine - INFO - Epoch(train) [155][115/125] lr: 8.0000e-04 eta: 0:04:23 time: 0.4945 data_time: 0.2168 memory: 6676 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0088 loss_cls: 0.0751 acc: 96.2891 loss_bbox: 0.1141 loss_mask: 0.1904 loss: 0.3977 2022/08/26 18:27:11 - mmengine - INFO - Epoch(train) [155][120/125] lr: 8.0000e-04 eta: 0:04:19 time: 0.4680 data_time: 0.1931 memory: 6650 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0089 loss_cls: 0.0665 acc: 98.7549 loss_bbox: 0.1059 loss_mask: 0.1943 loss: 0.3845 2022/08/26 18:27:14 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:27:14 - mmengine - INFO - Epoch(train) [155][125/125] lr: 8.0000e-04 eta: 0:04:19 time: 0.4171 data_time: 0.1143 memory: 6551 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0082 loss_cls: 0.0752 acc: 96.8262 loss_bbox: 0.1084 loss_mask: 0.1943 loss: 0.3916 2022/08/26 18:27:17 - mmengine - INFO - Epoch(train) [156][5/125] lr: 8.0000e-04 eta: 0:04:19 time: 0.5185 data_time: 0.2146 memory: 6686 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0087 loss_cls: 0.0811 acc: 97.4121 loss_bbox: 0.1120 loss_mask: 0.1908 loss: 0.3980 2022/08/26 18:27:18 - mmengine - INFO - Epoch(train) [156][10/125] lr: 8.0000e-04 eta: 0:04:13 time: 0.4540 data_time: 0.1850 memory: 6100 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0087 loss_cls: 0.0678 acc: 98.3398 loss_bbox: 0.0965 loss_mask: 0.1918 loss: 0.3690 2022/08/26 18:27:22 - mmengine - INFO - Epoch(train) [156][15/125] lr: 8.0000e-04 eta: 0:04:13 time: 0.5090 data_time: 0.2375 memory: 6741 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0105 loss_cls: 0.0752 acc: 95.8252 loss_bbox: 0.1057 loss_mask: 0.1936 loss: 0.3902 2022/08/26 18:27:23 - mmengine - INFO - Epoch(train) [156][20/125] lr: 8.0000e-04 eta: 0:04:09 time: 0.5030 data_time: 0.2183 memory: 6316 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0102 loss_cls: 0.0808 acc: 97.7539 loss_bbox: 0.1176 loss_mask: 0.1887 loss: 0.4031 2022/08/26 18:27:26 - mmengine - INFO - Epoch(train) [156][25/125] lr: 8.0000e-04 eta: 0:04:09 time: 0.4042 data_time: 0.0734 memory: 8446 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0093 loss_cls: 0.0822 acc: 98.2178 loss_bbox: 0.1264 loss_mask: 0.1913 loss: 0.4146 2022/08/26 18:27:27 - mmengine - INFO - Epoch(train) [156][30/125] lr: 8.0000e-04 eta: 0:04:05 time: 0.4002 data_time: 0.0766 memory: 6640 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0114 loss_cls: 0.0853 acc: 96.8994 loss_bbox: 0.1383 loss_mask: 0.1945 loss: 0.4347 2022/08/26 18:27:29 - mmengine - INFO - Epoch(train) [156][35/125] lr: 8.0000e-04 eta: 0:04:05 time: 0.3311 data_time: 0.0533 memory: 6314 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0095 loss_cls: 0.0800 acc: 97.9492 loss_bbox: 0.1196 loss_mask: 0.1897 loss: 0.4040 2022/08/26 18:27:31 - mmengine - INFO - Epoch(train) [156][40/125] lr: 8.0000e-04 eta: 0:04:01 time: 0.3470 data_time: 0.0716 memory: 6520 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0090 loss_cls: 0.0780 acc: 96.1670 loss_bbox: 0.1145 loss_mask: 0.1857 loss: 0.3932 2022/08/26 18:27:33 - mmengine - INFO - Epoch(train) [156][45/125] lr: 8.0000e-04 eta: 0:04:01 time: 0.3644 data_time: 0.0688 memory: 8119 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0120 loss_cls: 0.0774 acc: 95.8252 loss_bbox: 0.1231 loss_mask: 0.2025 loss: 0.4236 2022/08/26 18:27:34 - mmengine - INFO - Epoch(train) [156][50/125] lr: 8.0000e-04 eta: 0:03:57 time: 0.3633 data_time: 0.0609 memory: 6868 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0105 loss_cls: 0.0802 acc: 98.1689 loss_bbox: 0.1263 loss_mask: 0.1959 loss: 0.4206 2022/08/26 18:27:36 - mmengine - INFO - Epoch(train) [156][55/125] lr: 8.0000e-04 eta: 0:03:57 time: 0.3652 data_time: 0.0859 memory: 6743 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0082 loss_cls: 0.0779 acc: 97.9004 loss_bbox: 0.1255 loss_mask: 0.1886 loss: 0.4077 2022/08/26 18:27:38 - mmengine - INFO - Epoch(train) [156][60/125] lr: 8.0000e-04 eta: 0:03:52 time: 0.3690 data_time: 0.0935 memory: 6911 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0106 loss_cls: 0.0796 acc: 96.6553 loss_bbox: 0.1338 loss_mask: 0.1938 loss: 0.4263 2022/08/26 18:27:40 - mmengine - INFO - Epoch(train) [156][65/125] lr: 8.0000e-04 eta: 0:03:52 time: 0.4000 data_time: 0.1199 memory: 6662 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0113 loss_cls: 0.0848 acc: 95.8008 loss_bbox: 0.1392 loss_mask: 0.1936 loss: 0.4362 2022/08/26 18:27:43 - mmengine - INFO - Epoch(train) [156][70/125] lr: 8.0000e-04 eta: 0:03:48 time: 0.4746 data_time: 0.1152 memory: 6741 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0103 loss_cls: 0.0915 acc: 96.0938 loss_bbox: 0.1295 loss_mask: 0.2179 loss: 0.4585 2022/08/26 18:27:45 - mmengine - INFO - Epoch(train) [156][75/125] lr: 8.0000e-04 eta: 0:03:48 time: 0.4503 data_time: 0.0938 memory: 6463 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0089 loss_cls: 0.0838 acc: 97.7295 loss_bbox: 0.1131 loss_mask: 0.2146 loss: 0.4279 2022/08/26 18:27:47 - mmengine - INFO - Epoch(train) [156][80/125] lr: 8.0000e-04 eta: 0:03:44 time: 0.3767 data_time: 0.0987 memory: 6525 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0092 loss_cls: 0.0724 acc: 96.6797 loss_bbox: 0.1084 loss_mask: 0.2010 loss: 0.3964 2022/08/26 18:27:49 - mmengine - INFO - Epoch(train) [156][85/125] lr: 8.0000e-04 eta: 0:03:44 time: 0.3691 data_time: 0.0964 memory: 6657 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0099 loss_cls: 0.0757 acc: 96.4111 loss_bbox: 0.1148 loss_mask: 0.2068 loss: 0.4133 2022/08/26 18:27:50 - mmengine - INFO - Epoch(train) [156][90/125] lr: 8.0000e-04 eta: 0:03:40 time: 0.3806 data_time: 0.1104 memory: 6472 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0099 loss_cls: 0.0756 acc: 96.9971 loss_bbox: 0.1201 loss_mask: 0.2051 loss: 0.4170 2022/08/26 18:27:53 - mmengine - INFO - Epoch(train) [156][95/125] lr: 8.0000e-04 eta: 0:03:40 time: 0.4304 data_time: 0.1384 memory: 6513 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0101 loss_cls: 0.0658 acc: 98.1934 loss_bbox: 0.1094 loss_mask: 0.1826 loss: 0.3750 2022/08/26 18:27:54 - mmengine - INFO - Epoch(train) [156][100/125] lr: 8.0000e-04 eta: 0:03:36 time: 0.3883 data_time: 0.0990 memory: 6120 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0077 loss_cls: 0.0605 acc: 97.2168 loss_bbox: 0.0955 loss_mask: 0.1842 loss: 0.3543 2022/08/26 18:27:56 - mmengine - INFO - Epoch(train) [156][105/125] lr: 8.0000e-04 eta: 0:03:36 time: 0.3193 data_time: 0.0527 memory: 6473 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0082 loss_cls: 0.0702 acc: 98.1689 loss_bbox: 0.1109 loss_mask: 0.2015 loss: 0.3962 2022/08/26 18:27:58 - mmengine - INFO - Epoch(train) [156][110/125] lr: 8.0000e-04 eta: 0:03:32 time: 0.3490 data_time: 0.0802 memory: 6559 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0106 loss_cls: 0.0755 acc: 96.9727 loss_bbox: 0.1246 loss_mask: 0.1977 loss: 0.4141 2022/08/26 18:28:00 - mmengine - INFO - Epoch(train) [156][115/125] lr: 8.0000e-04 eta: 0:03:32 time: 0.3669 data_time: 0.0926 memory: 6489 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0094 loss_cls: 0.0748 acc: 95.8496 loss_bbox: 0.1268 loss_mask: 0.1901 loss: 0.4074 2022/08/26 18:28:04 - mmengine - INFO - Epoch(train) [156][120/125] lr: 8.0000e-04 eta: 0:03:28 time: 0.5819 data_time: 0.2358 memory: 6453 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0075 loss_cls: 0.0752 acc: 96.3623 loss_bbox: 0.1150 loss_mask: 0.1842 loss: 0.3883 2022/08/26 18:28:05 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:28:05 - mmengine - INFO - Epoch(train) [156][125/125] lr: 8.0000e-04 eta: 0:03:28 time: 0.5507 data_time: 0.2016 memory: 6702 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0085 loss_cls: 0.0724 acc: 98.5107 loss_bbox: 0.1006 loss_mask: 0.1768 loss: 0.3646 2022/08/26 18:28:09 - mmengine - INFO - Epoch(train) [157][5/125] lr: 8.0000e-04 eta: 0:03:28 time: 0.4937 data_time: 0.2114 memory: 6570 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0116 loss_cls: 0.0779 acc: 97.7539 loss_bbox: 0.1126 loss_mask: 0.1793 loss: 0.3865 2022/08/26 18:28:10 - mmengine - INFO - Epoch(train) [157][10/125] lr: 8.0000e-04 eta: 0:03:21 time: 0.5204 data_time: 0.2453 memory: 6495 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0114 loss_cls: 0.0887 acc: 95.7764 loss_bbox: 0.1307 loss_mask: 0.2062 loss: 0.4428 2022/08/26 18:28:13 - mmengine - INFO - Epoch(train) [157][15/125] lr: 8.0000e-04 eta: 0:03:21 time: 0.3840 data_time: 0.0971 memory: 7015 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0122 loss_cls: 0.0995 acc: 94.5068 loss_bbox: 0.1524 loss_mask: 0.2174 loss: 0.4894 2022/08/26 18:28:14 - mmengine - INFO - Epoch(train) [157][20/125] lr: 8.0000e-04 eta: 0:03:17 time: 0.3823 data_time: 0.0943 memory: 6627 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0137 loss_cls: 0.1045 acc: 97.5830 loss_bbox: 0.1532 loss_mask: 0.2109 loss: 0.4917 2022/08/26 18:28:16 - mmengine - INFO - Epoch(train) [157][25/125] lr: 8.0000e-04 eta: 0:03:17 time: 0.3520 data_time: 0.0816 memory: 6653 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0101 loss_cls: 0.0858 acc: 97.5342 loss_bbox: 0.1237 loss_mask: 0.1935 loss: 0.4213 2022/08/26 18:28:18 - mmengine - INFO - Epoch(train) [157][30/125] lr: 8.0000e-04 eta: 0:03:13 time: 0.3470 data_time: 0.0796 memory: 6512 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0086 loss_cls: 0.0756 acc: 94.9707 loss_bbox: 0.1174 loss_mask: 0.1914 loss: 0.4011 2022/08/26 18:28:19 - mmengine - INFO - Epoch(train) [157][35/125] lr: 8.0000e-04 eta: 0:03:13 time: 0.3454 data_time: 0.0790 memory: 6545 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0075 loss_cls: 0.0727 acc: 97.9248 loss_bbox: 0.1064 loss_mask: 0.1965 loss: 0.3904 2022/08/26 18:28:22 - mmengine - INFO - Epoch(train) [157][40/125] lr: 8.0000e-04 eta: 0:03:09 time: 0.3965 data_time: 0.1308 memory: 6157 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0071 loss_cls: 0.0644 acc: 97.3877 loss_bbox: 0.0922 loss_mask: 0.1905 loss: 0.3595 2022/08/26 18:28:24 - mmengine - INFO - Epoch(train) [157][45/125] lr: 8.0000e-04 eta: 0:03:09 time: 0.4827 data_time: 0.1615 memory: 6626 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0080 loss_cls: 0.0720 acc: 96.9971 loss_bbox: 0.1031 loss_mask: 0.1944 loss: 0.3877 2022/08/26 18:28:26 - mmengine - INFO - Epoch(train) [157][50/125] lr: 8.0000e-04 eta: 0:03:05 time: 0.4205 data_time: 0.0958 memory: 6698 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0084 loss_cls: 0.0753 acc: 95.9717 loss_bbox: 0.1087 loss_mask: 0.1820 loss: 0.3849 2022/08/26 18:28:28 - mmengine - INFO - Epoch(train) [157][55/125] lr: 8.0000e-04 eta: 0:03:05 time: 0.3900 data_time: 0.0825 memory: 8512 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0090 loss_cls: 0.0757 acc: 94.0430 loss_bbox: 0.1195 loss_mask: 0.1787 loss: 0.3891 2022/08/26 18:28:30 - mmengine - INFO - Epoch(train) [157][60/125] lr: 8.0000e-04 eta: 0:03:01 time: 0.3900 data_time: 0.0790 memory: 6512 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0101 loss_cls: 0.0781 acc: 98.0713 loss_bbox: 0.1224 loss_mask: 0.1911 loss: 0.4100 2022/08/26 18:28:32 - mmengine - INFO - Epoch(train) [157][65/125] lr: 8.0000e-04 eta: 0:03:01 time: 0.3344 data_time: 0.0571 memory: 6366 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0111 loss_cls: 0.0863 acc: 97.6318 loss_bbox: 0.1176 loss_mask: 0.1893 loss: 0.4126 2022/08/26 18:28:34 - mmengine - INFO - Epoch(train) [157][70/125] lr: 8.0000e-04 eta: 0:02:57 time: 0.3721 data_time: 0.1005 memory: 6173 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0086 loss_cls: 0.0806 acc: 97.5830 loss_bbox: 0.1075 loss_mask: 0.1841 loss: 0.3871 2022/08/26 18:28:35 - mmengine - INFO - Epoch(train) [157][75/125] lr: 8.0000e-04 eta: 0:02:57 time: 0.3893 data_time: 0.1149 memory: 6672 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0079 loss_cls: 0.0708 acc: 97.2900 loss_bbox: 0.1137 loss_mask: 0.1998 loss: 0.3992 2022/08/26 18:28:38 - mmengine - INFO - Epoch(train) [157][80/125] lr: 8.0000e-04 eta: 0:02:53 time: 0.4057 data_time: 0.1284 memory: 6838 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0096 loss_cls: 0.0726 acc: 98.1445 loss_bbox: 0.1179 loss_mask: 0.2014 loss: 0.4072 2022/08/26 18:28:39 - mmengine - INFO - Epoch(train) [157][85/125] lr: 8.0000e-04 eta: 0:02:53 time: 0.3872 data_time: 0.1127 memory: 6447 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0096 loss_cls: 0.0743 acc: 97.2412 loss_bbox: 0.1113 loss_mask: 0.1954 loss: 0.3951 2022/08/26 18:28:41 - mmengine - INFO - Epoch(train) [157][90/125] lr: 8.0000e-04 eta: 0:02:48 time: 0.3278 data_time: 0.0546 memory: 6506 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0084 loss_cls: 0.0750 acc: 97.0459 loss_bbox: 0.1131 loss_mask: 0.1965 loss: 0.3982 2022/08/26 18:28:43 - mmengine - INFO - Epoch(train) [157][95/125] lr: 8.0000e-04 eta: 0:02:48 time: 0.3794 data_time: 0.0752 memory: 6584 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0079 loss_cls: 0.0686 acc: 95.9717 loss_bbox: 0.1059 loss_mask: 0.2014 loss: 0.3898 2022/08/26 18:28:45 - mmengine - INFO - Epoch(train) [157][100/125] lr: 8.0000e-04 eta: 0:02:44 time: 0.3721 data_time: 0.0710 memory: 6111 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0078 loss_cls: 0.0666 acc: 98.2910 loss_bbox: 0.0995 loss_mask: 0.1923 loss: 0.3727 2022/08/26 18:28:47 - mmengine - INFO - Epoch(train) [157][105/125] lr: 8.0000e-04 eta: 0:02:44 time: 0.3451 data_time: 0.0720 memory: 6473 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0110 loss_cls: 0.0686 acc: 95.6787 loss_bbox: 0.1018 loss_mask: 0.1794 loss: 0.3670 2022/08/26 18:28:48 - mmengine - INFO - Epoch(train) [157][110/125] lr: 8.0000e-04 eta: 0:02:40 time: 0.3509 data_time: 0.0751 memory: 6424 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0126 loss_cls: 0.0782 acc: 97.5830 loss_bbox: 0.1213 loss_mask: 0.1987 loss: 0.4174 2022/08/26 18:28:50 - mmengine - INFO - Epoch(train) [157][115/125] lr: 8.0000e-04 eta: 0:02:40 time: 0.3207 data_time: 0.0511 memory: 6438 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0113 loss_cls: 0.0777 acc: 96.4844 loss_bbox: 0.1211 loss_mask: 0.1992 loss: 0.4176 2022/08/26 18:28:52 - mmengine - INFO - Epoch(train) [157][120/125] lr: 8.0000e-04 eta: 0:02:36 time: 0.4159 data_time: 0.1397 memory: 6789 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0137 loss_cls: 0.0822 acc: 94.6777 loss_bbox: 0.1288 loss_mask: 0.2033 loss: 0.4358 2022/08/26 18:28:54 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:28:54 - mmengine - INFO - Epoch(train) [157][125/125] lr: 8.0000e-04 eta: 0:02:36 time: 0.4058 data_time: 0.1303 memory: 6496 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0130 loss_cls: 0.0886 acc: 96.8994 loss_bbox: 0.1300 loss_mask: 0.2020 loss: 0.4409 2022/08/26 18:28:58 - mmengine - INFO - Epoch(train) [158][5/125] lr: 8.0000e-04 eta: 0:02:36 time: 0.5540 data_time: 0.2804 memory: 6173 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0104 loss_cls: 0.0742 acc: 97.7539 loss_bbox: 0.1083 loss_mask: 0.1889 loss: 0.3884 2022/08/26 18:29:00 - mmengine - INFO - Epoch(train) [158][10/125] lr: 8.0000e-04 eta: 0:02:30 time: 0.6384 data_time: 0.3586 memory: 6653 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0097 loss_cls: 0.0735 acc: 96.7773 loss_bbox: 0.1119 loss_mask: 0.1896 loss: 0.3899 2022/08/26 18:29:02 - mmengine - INFO - Epoch(train) [158][15/125] lr: 8.0000e-04 eta: 0:02:30 time: 0.3931 data_time: 0.1214 memory: 6134 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0098 loss_cls: 0.0770 acc: 97.5830 loss_bbox: 0.1090 loss_mask: 0.1940 loss: 0.3966 2022/08/26 18:29:04 - mmengine - INFO - Epoch(train) [158][20/125] lr: 8.0000e-04 eta: 0:02:26 time: 0.3598 data_time: 0.0566 memory: 6597 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0085 loss_cls: 0.0665 acc: 97.3633 loss_bbox: 0.1010 loss_mask: 0.1932 loss: 0.3750 2022/08/26 18:29:06 - mmengine - INFO - Epoch(train) [158][25/125] lr: 8.0000e-04 eta: 0:02:26 time: 0.4561 data_time: 0.1422 memory: 6990 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0106 loss_cls: 0.0711 acc: 97.8516 loss_bbox: 0.1174 loss_mask: 0.1791 loss: 0.3833 2022/08/26 18:29:08 - mmengine - INFO - Epoch(train) [158][30/125] lr: 8.0000e-04 eta: 0:02:22 time: 0.4457 data_time: 0.1750 memory: 6128 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0111 loss_cls: 0.0718 acc: 97.4609 loss_bbox: 0.1098 loss_mask: 0.1758 loss: 0.3740 2022/08/26 18:29:10 - mmengine - INFO - Epoch(train) [158][35/125] lr: 8.0000e-04 eta: 0:02:22 time: 0.3919 data_time: 0.1198 memory: 6330 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0083 loss_cls: 0.0716 acc: 97.0703 loss_bbox: 0.1096 loss_mask: 0.1898 loss: 0.3845 2022/08/26 18:29:12 - mmengine - INFO - Epoch(train) [158][40/125] lr: 8.0000e-04 eta: 0:02:18 time: 0.3651 data_time: 0.0813 memory: 6392 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0093 loss_cls: 0.0882 acc: 95.6787 loss_bbox: 0.1329 loss_mask: 0.2031 loss: 0.4404 2022/08/26 18:29:15 - mmengine - INFO - Epoch(train) [158][45/125] lr: 8.0000e-04 eta: 0:02:18 time: 0.4966 data_time: 0.0996 memory: 6603 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0084 loss_cls: 0.0823 acc: 97.7783 loss_bbox: 0.1165 loss_mask: 0.2008 loss: 0.4150 2022/08/26 18:29:17 - mmengine - INFO - Epoch(train) [158][50/125] lr: 8.0000e-04 eta: 0:02:13 time: 0.5078 data_time: 0.1130 memory: 6385 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0060 loss_cls: 0.0704 acc: 97.7783 loss_bbox: 0.0961 loss_mask: 0.1969 loss: 0.3760 2022/08/26 18:29:19 - mmengine - INFO - Epoch(train) [158][55/125] lr: 8.0000e-04 eta: 0:02:13 time: 0.3614 data_time: 0.0854 memory: 6636 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0067 loss_cls: 0.0717 acc: 98.2666 loss_bbox: 0.1048 loss_mask: 0.1909 loss: 0.3824 2022/08/26 18:29:22 - mmengine - INFO - Epoch(train) [158][60/125] lr: 8.0000e-04 eta: 0:02:09 time: 0.4429 data_time: 0.1404 memory: 7646 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0110 loss_cls: 0.0884 acc: 94.3359 loss_bbox: 0.1351 loss_mask: 0.1932 loss: 0.4371 2022/08/26 18:29:23 - mmengine - INFO - Epoch(train) [158][65/125] lr: 8.0000e-04 eta: 0:02:09 time: 0.4287 data_time: 0.1285 memory: 6493 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0102 loss_cls: 0.0886 acc: 97.5342 loss_bbox: 0.1262 loss_mask: 0.1936 loss: 0.4245 2022/08/26 18:29:25 - mmengine - INFO - Epoch(train) [158][70/125] lr: 8.0000e-04 eta: 0:02:05 time: 0.3338 data_time: 0.0598 memory: 6470 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0086 loss_cls: 0.0720 acc: 97.7295 loss_bbox: 0.1032 loss_mask: 0.1775 loss: 0.3661 2022/08/26 18:29:27 - mmengine - INFO - Epoch(train) [158][75/125] lr: 8.0000e-04 eta: 0:02:05 time: 0.3566 data_time: 0.0789 memory: 6646 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0114 loss_cls: 0.0799 acc: 95.7031 loss_bbox: 0.1173 loss_mask: 0.1790 loss: 0.3947 2022/08/26 18:29:29 - mmengine - INFO - Epoch(train) [158][80/125] lr: 8.0000e-04 eta: 0:02:01 time: 0.3660 data_time: 0.0902 memory: 6558 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0115 loss_cls: 0.0808 acc: 97.9248 loss_bbox: 0.1197 loss_mask: 0.1927 loss: 0.4117 2022/08/26 18:29:30 - mmengine - INFO - Epoch(train) [158][85/125] lr: 8.0000e-04 eta: 0:02:01 time: 0.3559 data_time: 0.0843 memory: 6649 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0114 loss_cls: 0.0762 acc: 95.4834 loss_bbox: 0.1192 loss_mask: 0.2036 loss: 0.4167 2022/08/26 18:29:33 - mmengine - INFO - Epoch(train) [158][90/125] lr: 8.0000e-04 eta: 0:01:57 time: 0.4026 data_time: 0.1062 memory: 6121 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0123 loss_cls: 0.0817 acc: 96.5820 loss_bbox: 0.1214 loss_mask: 0.2095 loss: 0.4333 2022/08/26 18:29:34 - mmengine - INFO - Epoch(train) [158][95/125] lr: 8.0000e-04 eta: 0:01:57 time: 0.3879 data_time: 0.0889 memory: 6360 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0098 loss_cls: 0.0739 acc: 97.4121 loss_bbox: 0.1099 loss_mask: 0.1953 loss: 0.3957 2022/08/26 18:29:37 - mmengine - INFO - Epoch(train) [158][100/125] lr: 8.0000e-04 eta: 0:01:53 time: 0.4313 data_time: 0.1549 memory: 6476 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0102 loss_cls: 0.0733 acc: 96.9482 loss_bbox: 0.1133 loss_mask: 0.1904 loss: 0.3937 2022/08/26 18:29:39 - mmengine - INFO - Epoch(train) [158][105/125] lr: 8.0000e-04 eta: 0:01:53 time: 0.4371 data_time: 0.1591 memory: 6421 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0120 loss_cls: 0.0726 acc: 96.6309 loss_bbox: 0.1142 loss_mask: 0.1911 loss: 0.3996 2022/08/26 18:29:40 - mmengine - INFO - Epoch(train) [158][110/125] lr: 8.0000e-04 eta: 0:01:49 time: 0.3280 data_time: 0.0546 memory: 6362 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0091 loss_cls: 0.0740 acc: 97.0459 loss_bbox: 0.1110 loss_mask: 0.1877 loss: 0.3896 2022/08/26 18:29:42 - mmengine - INFO - Epoch(train) [158][115/125] lr: 8.0000e-04 eta: 0:01:49 time: 0.3337 data_time: 0.0614 memory: 6683 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0105 loss_cls: 0.0848 acc: 93.9453 loss_bbox: 0.1256 loss_mask: 0.1897 loss: 0.4177 2022/08/26 18:29:44 - mmengine - INFO - Epoch(train) [158][120/125] lr: 8.0000e-04 eta: 0:01:45 time: 0.3995 data_time: 0.1102 memory: 6399 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0122 loss_cls: 0.0799 acc: 96.6553 loss_bbox: 0.1233 loss_mask: 0.1758 loss: 0.3984 2022/08/26 18:29:46 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:29:46 - mmengine - INFO - Epoch(train) [158][125/125] lr: 8.0000e-04 eta: 0:01:45 time: 0.3776 data_time: 0.0926 memory: 6653 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0099 loss_cls: 0.0739 acc: 97.9492 loss_bbox: 0.1160 loss_mask: 0.1797 loss: 0.3852 2022/08/26 18:29:50 - mmengine - INFO - Epoch(train) [159][5/125] lr: 8.0000e-04 eta: 0:01:45 time: 0.5295 data_time: 0.2589 memory: 6496 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0094 loss_cls: 0.0772 acc: 97.2412 loss_bbox: 0.1231 loss_mask: 0.2013 loss: 0.4161 2022/08/26 18:29:52 - mmengine - INFO - Epoch(train) [159][10/125] lr: 8.0000e-04 eta: 0:01:38 time: 0.6561 data_time: 0.3641 memory: 6564 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0090 loss_cls: 0.0772 acc: 98.4131 loss_bbox: 0.1133 loss_mask: 0.1818 loss: 0.3864 2022/08/26 18:29:55 - mmengine - INFO - Epoch(train) [159][15/125] lr: 8.0000e-04 eta: 0:01:38 time: 0.5324 data_time: 0.2120 memory: 6587 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0130 loss_cls: 0.0795 acc: 96.6064 loss_bbox: 0.1176 loss_mask: 0.1678 loss: 0.3843 2022/08/26 18:29:56 - mmengine - INFO - Epoch(train) [159][20/125] lr: 8.0000e-04 eta: 0:01:34 time: 0.4015 data_time: 0.1063 memory: 6392 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0135 loss_cls: 0.0827 acc: 97.0947 loss_bbox: 0.1167 loss_mask: 0.1988 loss: 0.4203 2022/08/26 18:29:58 - mmengine - INFO - Epoch(train) [159][25/125] lr: 8.0000e-04 eta: 0:01:34 time: 0.3133 data_time: 0.0499 memory: 6689 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0088 loss_cls: 0.0722 acc: 98.1689 loss_bbox: 0.1007 loss_mask: 0.1938 loss: 0.3830 2022/08/26 18:30:00 - mmengine - INFO - Epoch(train) [159][30/125] lr: 8.0000e-04 eta: 0:01:30 time: 0.3300 data_time: 0.0620 memory: 6575 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0096 loss_cls: 0.0776 acc: 96.1670 loss_bbox: 0.1160 loss_mask: 0.1910 loss: 0.4037 2022/08/26 18:30:02 - mmengine - INFO - Epoch(train) [159][35/125] lr: 8.0000e-04 eta: 0:01:30 time: 0.3495 data_time: 0.0775 memory: 6682 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0098 loss_cls: 0.0843 acc: 97.5586 loss_bbox: 0.1272 loss_mask: 0.1967 loss: 0.4264 2022/08/26 18:30:04 - mmengine - INFO - Epoch(train) [159][40/125] lr: 8.0000e-04 eta: 0:01:26 time: 0.4259 data_time: 0.1294 memory: 6440 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0116 loss_cls: 0.0760 acc: 96.4600 loss_bbox: 0.1204 loss_mask: 0.1890 loss: 0.4019 2022/08/26 18:30:06 - mmengine - INFO - Epoch(train) [159][45/125] lr: 8.0000e-04 eta: 0:01:26 time: 0.4592 data_time: 0.1531 memory: 6652 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0132 loss_cls: 0.0783 acc: 98.6084 loss_bbox: 0.1209 loss_mask: 0.1990 loss: 0.4173 2022/08/26 18:30:09 - mmengine - INFO - Epoch(train) [159][50/125] lr: 8.0000e-04 eta: 0:01:22 time: 0.4821 data_time: 0.1293 memory: 6911 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0117 loss_cls: 0.0833 acc: 97.4854 loss_bbox: 0.1261 loss_mask: 0.1946 loss: 0.4215 2022/08/26 18:30:11 - mmengine - INFO - Epoch(train) [159][55/125] lr: 8.0000e-04 eta: 0:01:22 time: 0.4500 data_time: 0.1027 memory: 6774 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0113 loss_cls: 0.0860 acc: 96.6309 loss_bbox: 0.1327 loss_mask: 0.1957 loss: 0.4328 2022/08/26 18:30:12 - mmengine - INFO - Epoch(train) [159][60/125] lr: 8.0000e-04 eta: 0:01:18 time: 0.3597 data_time: 0.0764 memory: 6568 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0101 loss_cls: 0.0871 acc: 95.6543 loss_bbox: 0.1268 loss_mask: 0.2016 loss: 0.4343 2022/08/26 18:30:14 - mmengine - INFO - Epoch(train) [159][65/125] lr: 8.0000e-04 eta: 0:01:18 time: 0.3467 data_time: 0.0644 memory: 6618 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0106 loss_cls: 0.0756 acc: 98.0957 loss_bbox: 0.1147 loss_mask: 0.1847 loss: 0.3929 2022/08/26 18:30:16 - mmengine - INFO - Epoch(train) [159][70/125] lr: 8.0000e-04 eta: 0:01:14 time: 0.3704 data_time: 0.0946 memory: 6176 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0101 loss_cls: 0.0627 acc: 97.4609 loss_bbox: 0.1038 loss_mask: 0.1833 loss: 0.3669 2022/08/26 18:30:19 - mmengine - INFO - Epoch(train) [159][75/125] lr: 8.0000e-04 eta: 0:01:14 time: 0.4576 data_time: 0.1396 memory: 6601 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0102 loss_cls: 0.0693 acc: 97.0703 loss_bbox: 0.1087 loss_mask: 0.1960 loss: 0.3915 2022/08/26 18:30:20 - mmengine - INFO - Epoch(train) [159][80/125] lr: 8.0000e-04 eta: 0:01:10 time: 0.4142 data_time: 0.0926 memory: 6617 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0117 loss_cls: 0.0799 acc: 97.4121 loss_bbox: 0.1206 loss_mask: 0.1989 loss: 0.4197 2022/08/26 18:30:22 - mmengine - INFO - Epoch(train) [159][85/125] lr: 8.0000e-04 eta: 0:01:10 time: 0.3217 data_time: 0.0499 memory: 6626 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0096 loss_cls: 0.0747 acc: 96.4355 loss_bbox: 0.1089 loss_mask: 0.1973 loss: 0.3993 2022/08/26 18:30:24 - mmengine - INFO - Epoch(train) [159][90/125] lr: 8.0000e-04 eta: 0:01:05 time: 0.3562 data_time: 0.0769 memory: 6587 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0092 loss_cls: 0.0776 acc: 97.9492 loss_bbox: 0.1137 loss_mask: 0.1951 loss: 0.4031 2022/08/26 18:30:26 - mmengine - INFO - Epoch(train) [159][95/125] lr: 8.0000e-04 eta: 0:01:05 time: 0.3707 data_time: 0.0899 memory: 6485 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0084 loss_cls: 0.0762 acc: 97.3389 loss_bbox: 0.1177 loss_mask: 0.1929 loss: 0.4017 2022/08/26 18:30:28 - mmengine - INFO - Epoch(train) [159][100/125] lr: 8.0000e-04 eta: 0:01:01 time: 0.3922 data_time: 0.1231 memory: 6265 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0074 loss_cls: 0.0706 acc: 97.3877 loss_bbox: 0.1105 loss_mask: 0.1967 loss: 0.3910 2022/08/26 18:30:30 - mmengine - INFO - Epoch(train) [159][105/125] lr: 8.0000e-04 eta: 0:01:01 time: 0.3939 data_time: 0.1204 memory: 6411 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0088 loss_cls: 0.0756 acc: 98.0225 loss_bbox: 0.1110 loss_mask: 0.1947 loss: 0.3961 2022/08/26 18:30:32 - mmengine - INFO - Epoch(train) [159][110/125] lr: 8.0000e-04 eta: 0:00:57 time: 0.4175 data_time: 0.1398 memory: 6489 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0103 loss_cls: 0.0864 acc: 97.1924 loss_bbox: 0.1232 loss_mask: 0.1890 loss: 0.4144 2022/08/26 18:30:34 - mmengine - INFO - Epoch(train) [159][115/125] lr: 8.0000e-04 eta: 0:00:57 time: 0.4555 data_time: 0.1183 memory: 6402 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0114 loss_cls: 0.0840 acc: 97.1924 loss_bbox: 0.1213 loss_mask: 0.1895 loss: 0.4120 2022/08/26 18:30:36 - mmengine - INFO - Epoch(train) [159][120/125] lr: 8.0000e-04 eta: 0:00:53 time: 0.3945 data_time: 0.0590 memory: 6721 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0095 loss_cls: 0.0699 acc: 96.9482 loss_bbox: 0.1137 loss_mask: 0.1788 loss: 0.3773 2022/08/26 18:30:38 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:30:38 - mmengine - INFO - Epoch(train) [159][125/125] lr: 8.0000e-04 eta: 0:00:53 time: 0.3614 data_time: 0.0887 memory: 6431 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0086 loss_cls: 0.0730 acc: 96.6553 loss_bbox: 0.1187 loss_mask: 0.1863 loss: 0.3933 2022/08/26 18:30:41 - mmengine - INFO - Epoch(train) [160][5/125] lr: 8.0000e-04 eta: 0:00:53 time: 0.5009 data_time: 0.2278 memory: 6470 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0089 loss_cls: 0.0850 acc: 97.1680 loss_bbox: 0.1271 loss_mask: 0.2089 loss: 0.4385 2022/08/26 18:30:43 - mmengine - INFO - Epoch(train) [160][10/125] lr: 8.0000e-04 eta: 0:00:47 time: 0.5119 data_time: 0.2378 memory: 6104 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0081 loss_cls: 0.0853 acc: 96.5088 loss_bbox: 0.1198 loss_mask: 0.2118 loss: 0.4317 2022/08/26 18:30:45 - mmengine - INFO - Epoch(train) [160][15/125] lr: 8.0000e-04 eta: 0:00:47 time: 0.3635 data_time: 0.0900 memory: 6449 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0091 loss_cls: 0.0709 acc: 96.6064 loss_bbox: 0.1009 loss_mask: 0.1876 loss: 0.3749 2022/08/26 18:30:47 - mmengine - INFO - Epoch(train) [160][20/125] lr: 8.0000e-04 eta: 0:00:43 time: 0.3628 data_time: 0.0571 memory: 7989 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0102 loss_cls: 0.0751 acc: 98.0713 loss_bbox: 0.1152 loss_mask: 0.1843 loss: 0.3921 2022/08/26 18:30:49 - mmengine - INFO - Epoch(train) [160][25/125] lr: 8.0000e-04 eta: 0:00:43 time: 0.4091 data_time: 0.1014 memory: 6567 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0119 loss_cls: 0.0851 acc: 96.2158 loss_bbox: 0.1256 loss_mask: 0.2070 loss: 0.4378 2022/08/26 18:30:51 - mmengine - INFO - Epoch(train) [160][30/125] lr: 8.0000e-04 eta: 0:00:39 time: 0.4404 data_time: 0.1597 memory: 6662 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0139 loss_cls: 0.0822 acc: 97.7783 loss_bbox: 0.1228 loss_mask: 0.2147 loss: 0.4411 2022/08/26 18:30:54 - mmengine - INFO - Epoch(train) [160][35/125] lr: 8.0000e-04 eta: 0:00:39 time: 0.5167 data_time: 0.1910 memory: 7029 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0139 loss_cls: 0.0858 acc: 94.9707 loss_bbox: 0.1363 loss_mask: 0.1907 loss: 0.4326 2022/08/26 18:30:56 - mmengine - INFO - Epoch(train) [160][40/125] lr: 8.0000e-04 eta: 0:00:35 time: 0.4768 data_time: 0.1516 memory: 6771 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0117 loss_cls: 0.0842 acc: 95.6299 loss_bbox: 0.1341 loss_mask: 0.1786 loss: 0.4137 2022/08/26 18:30:58 - mmengine - INFO - Epoch(train) [160][45/125] lr: 8.0000e-04 eta: 0:00:35 time: 0.3825 data_time: 0.1101 memory: 6460 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0093 loss_cls: 0.0763 acc: 96.8506 loss_bbox: 0.1097 loss_mask: 0.1863 loss: 0.3865 2022/08/26 18:31:01 - mmengine - INFO - Epoch(train) [160][50/125] lr: 8.0000e-04 eta: 0:00:30 time: 0.4775 data_time: 0.1442 memory: 6535 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0082 loss_cls: 0.0704 acc: 96.5088 loss_bbox: 0.1029 loss_mask: 0.1800 loss: 0.3672 2022/08/26 18:31:02 - mmengine - INFO - Epoch(train) [160][55/125] lr: 8.0000e-04 eta: 0:00:30 time: 0.4468 data_time: 0.1053 memory: 6324 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0068 loss_cls: 0.0661 acc: 96.7773 loss_bbox: 0.1076 loss_mask: 0.1830 loss: 0.3681 2022/08/26 18:31:04 - mmengine - INFO - Epoch(train) [160][60/125] lr: 8.0000e-04 eta: 0:00:26 time: 0.3237 data_time: 0.0483 memory: 6291 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0073 loss_cls: 0.0657 acc: 97.6807 loss_bbox: 0.1036 loss_mask: 0.1893 loss: 0.3712 2022/08/26 18:31:06 - mmengine - INFO - Epoch(train) [160][65/125] lr: 8.0000e-04 eta: 0:00:26 time: 0.3703 data_time: 0.0913 memory: 6760 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0100 loss_cls: 0.0803 acc: 96.0449 loss_bbox: 0.1274 loss_mask: 0.1887 loss: 0.4131 2022/08/26 18:31:08 - mmengine - INFO - Epoch(train) [160][70/125] lr: 8.0000e-04 eta: 0:00:22 time: 0.3781 data_time: 0.0977 memory: 6463 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0111 loss_cls: 0.0942 acc: 97.3145 loss_bbox: 0.1417 loss_mask: 0.1970 loss: 0.4529 2022/08/26 18:31:10 - mmengine - INFO - Epoch(train) [160][75/125] lr: 8.0000e-04 eta: 0:00:22 time: 0.4110 data_time: 0.1353 memory: 6643 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0100 loss_cls: 0.0829 acc: 98.0957 loss_bbox: 0.1169 loss_mask: 0.1922 loss: 0.4113 2022/08/26 18:31:12 - mmengine - INFO - Epoch(train) [160][80/125] lr: 8.0000e-04 eta: 0:00:18 time: 0.4249 data_time: 0.1509 memory: 6431 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0081 loss_cls: 0.0753 acc: 95.9717 loss_bbox: 0.1109 loss_mask: 0.1839 loss: 0.3852 2022/08/26 18:31:14 - mmengine - INFO - Epoch(train) [160][85/125] lr: 8.0000e-04 eta: 0:00:18 time: 0.4321 data_time: 0.0806 memory: 6554 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0086 loss_cls: 0.0804 acc: 97.2412 loss_bbox: 0.1233 loss_mask: 0.1896 loss: 0.4086 2022/08/26 18:31:16 - mmengine - INFO - Epoch(train) [160][90/125] lr: 8.0000e-04 eta: 0:00:14 time: 0.4298 data_time: 0.0733 memory: 6282 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0106 loss_cls: 0.0753 acc: 97.6807 loss_bbox: 0.1229 loss_mask: 0.1872 loss: 0.4022 2022/08/26 18:31:18 - mmengine - INFO - Epoch(train) [160][95/125] lr: 8.0000e-04 eta: 0:00:14 time: 0.3490 data_time: 0.0748 memory: 5940 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0082 loss_cls: 0.0691 acc: 97.3633 loss_bbox: 0.1000 loss_mask: 0.1926 loss: 0.3767 2022/08/26 18:31:20 - mmengine - INFO - Epoch(train) [160][100/125] lr: 8.0000e-04 eta: 0:00:10 time: 0.3444 data_time: 0.0700 memory: 6321 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0083 loss_cls: 0.0740 acc: 97.8271 loss_bbox: 0.1023 loss_mask: 0.1962 loss: 0.3877 2022/08/26 18:31:21 - mmengine - INFO - Epoch(train) [160][105/125] lr: 8.0000e-04 eta: 0:00:10 time: 0.3553 data_time: 0.0747 memory: 6761 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0123 loss_cls: 0.0773 acc: 97.8271 loss_bbox: 0.1181 loss_mask: 0.1965 loss: 0.4115 2022/08/26 18:31:23 - mmengine - INFO - Epoch(train) [160][110/125] lr: 8.0000e-04 eta: 0:00:06 time: 0.3841 data_time: 0.0980 memory: 6235 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0101 loss_cls: 0.0720 acc: 96.3867 loss_bbox: 0.1067 loss_mask: 0.2000 loss: 0.3960 2022/08/26 18:31:25 - mmengine - INFO - Epoch(train) [160][115/125] lr: 8.0000e-04 eta: 0:00:06 time: 0.3704 data_time: 0.0858 memory: 6548 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0067 loss_cls: 0.0667 acc: 97.0947 loss_bbox: 0.0972 loss_mask: 0.1989 loss: 0.3747 2022/08/26 18:31:27 - mmengine - INFO - Epoch(train) [160][120/125] lr: 8.0000e-04 eta: 0:00:02 time: 0.3526 data_time: 0.0755 memory: 6692 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0092 loss_cls: 0.0731 acc: 97.5342 loss_bbox: 0.1064 loss_mask: 0.1902 loss: 0.3844 2022/08/26 18:31:29 - mmengine - INFO - Exp name: mask-rcnn_resnet50_fpn_160e_ctw1500_20220826_154755 2022/08/26 18:31:29 - mmengine - INFO - Epoch(train) [160][125/125] lr: 8.0000e-04 eta: 0:00:02 time: 0.3475 data_time: 0.0678 memory: 6274 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0120 loss_cls: 0.0783 acc: 96.9727 loss_bbox: 0.1257 loss_mask: 0.1978 loss: 0.4200 2022/08/26 18:31:29 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/26 18:31:37 - mmengine - INFO - Epoch(val) [160][5/500] eta: 0:00:02 time: 0.1577 data_time: 0.0135 memory: 1506 2022/08/26 18:31:37 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:01:24 time: 0.1715 data_time: 0.0159 memory: 1522 2022/08/26 18:31:37 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:01:24 time: 0.0815 data_time: 0.0045 memory: 1472 2022/08/26 18:31:38 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:34 time: 0.0711 data_time: 0.0020 memory: 1320 2022/08/26 18:31:38 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:34 time: 0.0675 data_time: 0.0021 memory: 1320 2022/08/26 18:31:38 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:30 time: 0.0647 data_time: 0.0023 memory: 1320 2022/08/26 18:31:39 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:30 time: 0.0684 data_time: 0.0023 memory: 1320 2022/08/26 18:31:39 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:32 time: 0.0700 data_time: 0.0022 memory: 1337 2022/08/26 18:31:40 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:32 time: 0.0673 data_time: 0.0024 memory: 1522 2022/08/26 18:31:40 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:31 time: 0.0691 data_time: 0.0024 memory: 1370 2022/08/26 18:31:40 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:31 time: 0.0653 data_time: 0.0021 memory: 1354 2022/08/26 18:31:41 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:31 time: 0.0711 data_time: 0.0021 memory: 1320 2022/08/26 18:31:41 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:31 time: 0.0774 data_time: 0.0020 memory: 1370 2022/08/26 18:31:41 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:29 time: 0.0686 data_time: 0.0019 memory: 1522 2022/08/26 18:31:42 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:29 time: 0.0694 data_time: 0.0020 memory: 1387 2022/08/26 18:31:42 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:29 time: 0.0714 data_time: 0.0022 memory: 1320 2022/08/26 18:31:42 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:29 time: 0.0635 data_time: 0.0022 memory: 1320 2022/08/26 18:31:43 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:31 time: 0.0766 data_time: 0.0029 memory: 1522 2022/08/26 18:31:43 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:31 time: 0.0782 data_time: 0.0032 memory: 1337 2022/08/26 18:31:43 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:25 time: 0.0632 data_time: 0.0024 memory: 1506 2022/08/26 18:31:44 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:25 time: 0.0639 data_time: 0.0022 memory: 1320 2022/08/26 18:31:44 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:25 time: 0.0650 data_time: 0.0023 memory: 1522 2022/08/26 18:31:44 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:25 time: 0.0649 data_time: 0.0022 memory: 1320 2022/08/26 18:31:45 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:27 time: 0.0722 data_time: 0.0021 memory: 1320 2022/08/26 18:31:45 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:27 time: 0.0837 data_time: 0.0020 memory: 1522 2022/08/26 18:31:45 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:27 time: 0.0756 data_time: 0.0020 memory: 1320 2022/08/26 18:31:46 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:27 time: 0.0673 data_time: 0.0021 memory: 1387 2022/08/26 18:31:46 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:25 time: 0.0717 data_time: 0.0023 memory: 1320 2022/08/26 18:31:47 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:25 time: 0.0668 data_time: 0.0023 memory: 1506 2022/08/26 18:31:47 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:23 time: 0.0664 data_time: 0.0025 memory: 1320 2022/08/26 18:31:47 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:23 time: 0.0705 data_time: 0.0025 memory: 1454 2022/08/26 18:31:48 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:24 time: 0.0715 data_time: 0.0057 memory: 1522 2022/08/26 18:31:48 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:24 time: 0.0690 data_time: 0.0056 memory: 1354 2022/08/26 18:31:48 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:21 time: 0.0654 data_time: 0.0020 memory: 1472 2022/08/26 18:31:49 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:21 time: 0.0635 data_time: 0.0021 memory: 1522 2022/08/26 18:31:49 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:20 time: 0.0651 data_time: 0.0022 memory: 1522 2022/08/26 18:31:49 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:20 time: 0.0649 data_time: 0.0022 memory: 1320 2022/08/26 18:31:50 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:19 time: 0.0629 data_time: 0.0022 memory: 1370 2022/08/26 18:31:50 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:19 time: 0.0616 data_time: 0.0022 memory: 1354 2022/08/26 18:31:50 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:17 time: 0.0600 data_time: 0.0022 memory: 1354 2022/08/26 18:31:50 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:17 time: 0.0633 data_time: 0.0022 memory: 1320 2022/08/26 18:31:51 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:19 time: 0.0685 data_time: 0.0022 memory: 1522 2022/08/26 18:31:51 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:19 time: 0.0672 data_time: 0.0022 memory: 1320 2022/08/26 18:31:51 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:17 time: 0.0616 data_time: 0.0021 memory: 1387 2022/08/26 18:31:52 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:17 time: 0.0619 data_time: 0.0021 memory: 1522 2022/08/26 18:31:52 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:20 time: 0.0776 data_time: 0.0021 memory: 1320 2022/08/26 18:31:53 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:20 time: 0.1606 data_time: 0.0075 memory: 1522 2022/08/26 18:31:54 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:39 time: 0.1519 data_time: 0.0088 memory: 1522 2022/08/26 18:31:54 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:39 time: 0.0702 data_time: 0.0034 memory: 1522 2022/08/26 18:31:54 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:16 time: 0.0660 data_time: 0.0022 memory: 1320 2022/08/26 18:31:55 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:16 time: 0.1023 data_time: 0.0021 memory: 1337 2022/08/26 18:31:55 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:23 time: 0.0985 data_time: 0.0021 memory: 1320 2022/08/26 18:31:56 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:23 time: 0.0617 data_time: 0.0020 memory: 1472 2022/08/26 18:31:56 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:14 time: 0.0643 data_time: 0.0020 memory: 1438 2022/08/26 18:31:56 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:14 time: 0.0681 data_time: 0.0020 memory: 1506 2022/08/26 18:31:57 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:14 time: 0.0677 data_time: 0.0023 memory: 1489 2022/08/26 18:31:57 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:14 time: 0.0638 data_time: 0.0023 memory: 1320 2022/08/26 18:31:57 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:14 time: 0.0681 data_time: 0.0022 memory: 1522 2022/08/26 18:31:58 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:14 time: 0.0708 data_time: 0.0046 memory: 1370 2022/08/26 18:31:58 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:13 time: 0.0687 data_time: 0.0045 memory: 1320 2022/08/26 18:31:58 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:13 time: 0.0607 data_time: 0.0021 memory: 1303 2022/08/26 18:31:59 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:10 time: 0.0575 data_time: 0.0020 memory: 1354 2022/08/26 18:31:59 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:10 time: 0.0654 data_time: 0.0021 memory: 1472 2022/08/26 18:31:59 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:13 time: 0.0725 data_time: 0.0022 memory: 1472 2022/08/26 18:32:00 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:13 time: 0.0836 data_time: 0.0125 memory: 1522 2022/08/26 18:32:00 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:14 time: 0.0826 data_time: 0.0125 memory: 1320 2022/08/26 18:32:01 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:14 time: 0.0698 data_time: 0.0022 memory: 1438 2022/08/26 18:32:01 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:11 time: 0.0705 data_time: 0.0023 memory: 1506 2022/08/26 18:32:01 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:11 time: 0.0663 data_time: 0.0022 memory: 1438 2022/08/26 18:32:02 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:10 time: 0.0674 data_time: 0.0021 memory: 1320 2022/08/26 18:32:02 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:10 time: 0.0789 data_time: 0.0022 memory: 1506 2022/08/26 18:32:02 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:09 time: 0.0711 data_time: 0.0021 memory: 1337 2022/08/26 18:32:03 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:09 time: 0.0631 data_time: 0.0020 memory: 1252 2022/08/26 18:32:03 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:08 time: 0.0621 data_time: 0.0021 memory: 1387 2022/08/26 18:32:03 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:08 time: 0.0570 data_time: 0.0021 memory: 1320 2022/08/26 18:32:04 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:07 time: 0.0659 data_time: 0.0021 memory: 1506 2022/08/26 18:32:04 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:07 time: 0.0710 data_time: 0.0022 memory: 1489 2022/08/26 18:32:04 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:07 time: 0.0709 data_time: 0.0032 memory: 1522 2022/08/26 18:32:05 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:07 time: 0.0913 data_time: 0.0032 memory: 1320 2022/08/26 18:32:05 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:11 time: 0.1148 data_time: 0.0022 memory: 1506 2022/08/26 18:32:06 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:11 time: 0.1299 data_time: 0.0080 memory: 1489 2022/08/26 18:32:06 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:09 time: 0.1034 data_time: 0.0079 memory: 1387 2022/08/26 18:32:07 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:09 time: 0.0747 data_time: 0.0024 memory: 1320 2022/08/26 18:32:07 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:06 time: 0.0850 data_time: 0.0029 memory: 1489 2022/08/26 18:32:08 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:06 time: 0.0814 data_time: 0.0027 memory: 1320 2022/08/26 18:32:08 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:04 time: 0.0688 data_time: 0.0022 memory: 1522 2022/08/26 18:32:08 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:04 time: 0.0681 data_time: 0.0022 memory: 1320 2022/08/26 18:32:09 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:04 time: 0.0693 data_time: 0.0022 memory: 1404 2022/08/26 18:32:09 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:04 time: 0.0678 data_time: 0.0021 memory: 1472 2022/08/26 18:32:09 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:03 time: 0.0653 data_time: 0.0020 memory: 1320 2022/08/26 18:32:10 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:03 time: 0.0644 data_time: 0.0021 memory: 1522 2022/08/26 18:32:10 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:02 time: 0.0653 data_time: 0.0022 memory: 1354 2022/08/26 18:32:10 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:02 time: 0.0641 data_time: 0.0022 memory: 1454 2022/08/26 18:32:11 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:01 time: 0.0623 data_time: 0.0022 memory: 1354 2022/08/26 18:32:11 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:01 time: 0.0657 data_time: 0.0023 memory: 1522 2022/08/26 18:32:11 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:01 time: 0.0697 data_time: 0.0027 memory: 1489 2022/08/26 18:32:12 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:01 time: 0.0660 data_time: 0.0026 memory: 1320 2022/08/26 18:32:12 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0619 data_time: 0.0022 memory: 1454 2022/08/26 18:32:12 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0635 data_time: 0.0021 memory: 1522 2022/08/26 18:32:13 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.1243 data_time: 0.0101 memory: 1320 2022/08/26 18:32:13 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 18:32:13 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8784, precision: 0.4870, hmean: 0.6266 2022/08/26 18:32:13 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8722, precision: 0.5308, hmean: 0.6599 2022/08/26 18:32:13 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8644, precision: 0.5637, hmean: 0.6824 2022/08/26 18:32:13 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8537, precision: 0.5946, hmean: 0.7009 2022/08/26 18:32:13 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.8403, precision: 0.6275, hmean: 0.7185 2022/08/26 18:32:13 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.8176, precision: 0.6614, hmean: 0.7312 2022/08/26 18:32:13 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7776, precision: 0.7165, hmean: 0.7458 2022/08/26 18:32:13 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.7165 icdar/recall: 0.7776 icdar/hmean: 0.7458