2022/08/25 22:16:15 - 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: 2091165137 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 ------------------------------------------------------------ 2022/08/25 22:16:15 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='DBNet', backbone=dict( type='mmdet.ResNet', depth=18, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=-1, norm_cfg=dict(type='BN', requires_grad=True), init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18'), norm_eval=False, style='caffe'), neck=dict( type='FPNC', in_channels=[64, 128, 256, 512], lateral_channels=256), det_head=dict( type='DBHead', in_channels=256, module_loss=dict(type='DBModuleLoss'), postprocessor=dict(type='DBPostprocessor', text_repr_type='quad')), data_preprocessor=dict( type='TextDetDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], bgr_to_rgb=True, pad_size_divisor=32)) 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), dict( type='ImgAugWrapper', args=[['Fliplr', 0.5], { 'cls': 'Affine', 'rotate': [-10, 10] }, ['Resize', [0.5, 3.0]]]), dict(type='RandomCrop', min_side_ratio=0.1), dict(type='Resize', scale=(640, 640), keep_ratio=True), dict(type='Pad', size=(640, 640)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape')) ] test_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict(type='Resize', scale=(1333, 736), 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')) ] ic15_det_data_root = 'data/det/icdar2015' ic15_det_train = dict( type='OCRDataset', data_root='data/det/icdar2015', 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), dict( type='ImgAugWrapper', args=[['Fliplr', 0.5], { 'cls': 'Affine', 'rotate': [-10, 10] }, ['Resize', [0.5, 3.0]]]), dict(type='RandomCrop', min_side_ratio=0.1), dict(type='Resize', scale=(640, 640), keep_ratio=True), dict(type='Pad', size=(640, 640)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape')) ]) ic15_det_test = dict( type='OCRDataset', data_root='data/det/icdar2015', 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=(1333, 736), 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 = False 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=0.007, momentum=0.9, weight_decay=0.0001)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=1200, val_interval=20) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [dict(type='PolyLR', power=0.9, eta_min=1e-07, end=1200)] train_dataloader = dict( batch_size=16, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', 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), dict( type='ImgAugWrapper', args=[['Fliplr', 0.5], { 'cls': 'Affine', 'rotate': [-10, 10] }, ['Resize', [0.5, 3.0]]]), dict(type='RandomCrop', min_side_ratio=0.1), dict(type='Resize', scale=(640, 640), keep_ratio=True), dict(type='Pad', size=(640, 640)), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape')) ])) val_dataloader = dict( batch_size=1, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', 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=(1333, 736), 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=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/icdar2015', 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=(1333, 736), 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/dbnet_resnet18_fpnc_1200e_icdar2015' Name of parameter - Initialization information backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet18 backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.conv1.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.conv1.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.conv1.weight - torch.Size([128, 64, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.0.weight - torch.Size([128, 64, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.0.downsample.1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.conv1.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.conv1.weight - torch.Size([256, 128, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.0.weight - torch.Size([256, 128, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.conv1.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.conv1.weight - torch.Size([512, 256, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.conv1.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet18 neck.lateral_convs.0.conv.weight - torch.Size([256, 64, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.1.conv.weight - torch.Size([256, 128, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.2.conv.weight - torch.Size([256, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.lateral_convs.3.conv.weight - torch.Size([256, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.0.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.1.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.2.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule neck.smooth_convs.3.conv.weight - torch.Size([64, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule det_head.binarize.0.weight - torch.Size([64, 256, 3, 3]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.3.weight - torch.Size([64, 64, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.3.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.6.weight - torch.Size([64, 1, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.binarize.6.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.0.weight - torch.Size([64, 256, 3, 3]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.3.weight - torch.Size([64, 64, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.3.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.6.weight - torch.Size([64, 1, 2, 2]): The value is the same before and after calling `init_weights` of DBNet det_head.threshold.6.bias - torch.Size([1]): The value is the same before and after calling `init_weights` of DBNet 2022/08/25 22:18:23 - mmengine - INFO - Epoch(train) [1][5/63] lr: 7.0000e-03 memory: 14137 data_time: 16.1378 loss_prob: 17.4886 loss_thr: 2.2502 loss_db: 0.9879 loss: 20.7267 time: 17.1900 2022/08/25 22:18:25 - mmengine - INFO - Epoch(train) [1][10/63] lr: 7.0000e-03 eta: 7 days, 16:43:14 time: 8.7974 data_time: 8.0910 memory: 6760 loss_prob: 11.3544 loss_thr: 1.7597 loss_db: 0.9882 loss: 14.1023 2022/08/25 22:18:27 - mmengine - INFO - Epoch(train) [1][15/63] lr: 7.0000e-03 eta: 7 days, 16:43:14 time: 0.3975 data_time: 0.0274 memory: 6760 loss_prob: 4.2343 loss_thr: 1.2197 loss_db: 0.9942 loss: 6.4482 2022/08/25 22:18:29 - mmengine - INFO - Epoch(train) [1][20/63] lr: 7.0000e-03 eta: 4 days, 0:29:38 time: 0.3950 data_time: 0.0154 memory: 6760 loss_prob: 3.1610 loss_thr: 1.1710 loss_db: 1.0000 loss: 5.3319 2022/08/25 22:18:31 - mmengine - INFO - Epoch(train) [1][25/63] lr: 7.0000e-03 eta: 4 days, 0:29:38 time: 0.3940 data_time: 0.0160 memory: 6760 loss_prob: 3.0549 loss_thr: 1.1705 loss_db: 1.0000 loss: 5.2255 2022/08/25 22:18:34 - mmengine - INFO - Epoch(train) [1][30/63] lr: 7.0000e-03 eta: 2 days, 19:51:18 time: 0.5051 data_time: 0.0263 memory: 6760 loss_prob: 2.9929 loss_thr: 1.1600 loss_db: 1.0000 loss: 5.1529 2022/08/25 22:18:36 - mmengine - INFO - Epoch(train) [1][35/63] lr: 7.0000e-03 eta: 2 days, 19:51:18 time: 0.4982 data_time: 0.0362 memory: 6760 loss_prob: 2.9260 loss_thr: 1.1516 loss_db: 1.0000 loss: 5.0776 2022/08/25 22:18:38 - mmengine - INFO - Epoch(train) [1][40/63] lr: 7.0000e-03 eta: 2 days, 4:51:40 time: 0.3767 data_time: 0.0241 memory: 6760 loss_prob: 2.8844 loss_thr: 1.1584 loss_db: 1.0000 loss: 5.0428 2022/08/25 22:18:40 - mmengine - INFO - Epoch(train) [1][45/63] lr: 7.0000e-03 eta: 2 days, 4:51:40 time: 0.3805 data_time: 0.0180 memory: 6760 loss_prob: 2.8547 loss_thr: 1.1598 loss_db: 1.0000 loss: 5.0145 2022/08/25 22:18:41 - mmengine - INFO - Epoch(train) [1][50/63] lr: 7.0000e-03 eta: 1 day, 19:52:26 time: 0.3790 data_time: 0.0229 memory: 6760 loss_prob: 2.8363 loss_thr: 1.1552 loss_db: 1.0000 loss: 4.9915 2022/08/25 22:18:45 - mmengine - INFO - Epoch(train) [1][55/63] lr: 7.0000e-03 eta: 1 day, 19:52:26 time: 0.5284 data_time: 0.0249 memory: 6760 loss_prob: 2.8329 loss_thr: 1.1554 loss_db: 1.0000 loss: 4.9882 2022/08/25 22:18:47 - mmengine - INFO - Epoch(train) [1][60/63] lr: 7.0000e-03 eta: 1 day, 14:37:00 time: 0.5890 data_time: 0.0291 memory: 6760 loss_prob: 2.8295 loss_thr: 1.1540 loss_db: 1.0000 loss: 4.9834 2022/08/25 22:18:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:18:53 - mmengine - INFO - Epoch(train) [2][5/63] lr: 6.9947e-03 eta: 1 day, 14:37:00 time: 0.6914 data_time: 0.1623 memory: 11340 loss_prob: 2.8188 loss_thr: 1.1555 loss_db: 1.0000 loss: 4.9743 2022/08/25 22:18:55 - mmengine - INFO - Epoch(train) [2][10/63] lr: 6.9947e-03 eta: 1 day, 9:27:34 time: 0.6003 data_time: 0.1734 memory: 6760 loss_prob: 2.8155 loss_thr: 1.1604 loss_db: 1.0000 loss: 4.9759 2022/08/25 22:18:57 - mmengine - INFO - Epoch(train) [2][15/63] lr: 6.9947e-03 eta: 1 day, 9:27:34 time: 0.3806 data_time: 0.0236 memory: 6760 loss_prob: 2.8177 loss_thr: 1.1597 loss_db: 1.0000 loss: 4.9773 2022/08/25 22:18:59 - mmengine - INFO - Epoch(train) [2][20/63] lr: 6.9947e-03 eta: 1 day, 6:23:30 time: 0.3828 data_time: 0.0188 memory: 6760 loss_prob: 2.8168 loss_thr: 1.1576 loss_db: 1.0000 loss: 4.9743 2022/08/25 22:19:01 - mmengine - INFO - Epoch(train) [2][25/63] lr: 6.9947e-03 eta: 1 day, 6:23:30 time: 0.3991 data_time: 0.0193 memory: 6760 loss_prob: 2.8122 loss_thr: 1.1539 loss_db: 1.0000 loss: 4.9661 2022/08/25 22:19:04 - mmengine - INFO - Epoch(train) [2][30/63] lr: 6.9947e-03 eta: 1 day, 4:13:55 time: 0.4929 data_time: 0.0253 memory: 6760 loss_prob: 2.8120 loss_thr: 1.1525 loss_db: 1.0000 loss: 4.9644 2022/08/25 22:19:06 - mmengine - INFO - Epoch(train) [2][35/63] lr: 6.9947e-03 eta: 1 day, 4:13:55 time: 0.4813 data_time: 0.0306 memory: 6760 loss_prob: 2.8120 loss_thr: 1.1521 loss_db: 1.0000 loss: 4.9641 2022/08/25 22:19:08 - mmengine - INFO - Epoch(train) [2][40/63] lr: 6.9947e-03 eta: 1 day, 2:15:30 time: 0.3786 data_time: 0.0259 memory: 6760 loss_prob: 2.8119 loss_thr: 1.1480 loss_db: 1.0000 loss: 4.9598 2022/08/25 22:19:10 - mmengine - INFO - Epoch(train) [2][45/63] lr: 6.9947e-03 eta: 1 day, 2:15:30 time: 0.3994 data_time: 0.0216 memory: 6760 loss_prob: 2.8123 loss_thr: 1.1483 loss_db: 1.0000 loss: 4.9605 2022/08/25 22:19:12 - mmengine - INFO - Epoch(train) [2][50/63] lr: 6.9947e-03 eta: 1 day, 0:44:58 time: 0.4408 data_time: 0.0216 memory: 6760 loss_prob: 2.8132 loss_thr: 1.1496 loss_db: 1.0000 loss: 4.9628 2022/08/25 22:19:14 - mmengine - INFO - Epoch(train) [2][55/63] lr: 6.9947e-03 eta: 1 day, 0:44:58 time: 0.4212 data_time: 0.0218 memory: 6760 loss_prob: 2.8132 loss_thr: 1.1460 loss_db: 0.9999 loss: 4.9591 2022/08/25 22:19:16 - mmengine - INFO - Epoch(train) [2][60/63] lr: 6.9947e-03 eta: 23:22:39 time: 0.3773 data_time: 0.0207 memory: 6760 loss_prob: 2.8128 loss_thr: 1.1492 loss_db: 0.9999 loss: 4.9619 2022/08/25 22:19:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:19:21 - mmengine - INFO - Epoch(train) [3][5/63] lr: 6.9895e-03 eta: 23:22:39 time: 0.5377 data_time: 0.1765 memory: 6760 loss_prob: 2.8123 loss_thr: 1.1539 loss_db: 1.0000 loss: 4.9662 2022/08/25 22:19:23 - mmengine - INFO - Epoch(train) [3][10/63] lr: 6.9895e-03 eta: 22:03:14 time: 0.5934 data_time: 0.1763 memory: 6760 loss_prob: 2.8118 loss_thr: 1.1401 loss_db: 0.9999 loss: 4.9519 2022/08/25 22:19:25 - mmengine - INFO - Epoch(train) [3][15/63] lr: 6.9895e-03 eta: 22:03:14 time: 0.4414 data_time: 0.0191 memory: 6760 loss_prob: 2.8118 loss_thr: 1.1377 loss_db: 0.9978 loss: 4.9474 2022/08/25 22:19:27 - mmengine - INFO - Epoch(train) [3][20/63] lr: 6.9895e-03 eta: 21:06:35 time: 0.3964 data_time: 0.0233 memory: 6760 loss_prob: 2.8119 loss_thr: 1.1358 loss_db: 0.9946 loss: 4.9423 2022/08/25 22:19:29 - mmengine - INFO - Epoch(train) [3][25/63] lr: 6.9895e-03 eta: 21:06:35 time: 0.3734 data_time: 0.0210 memory: 6760 loss_prob: 2.8121 loss_thr: 1.1425 loss_db: 0.9967 loss: 4.9513 2022/08/25 22:19:31 - mmengine - INFO - Epoch(train) [3][30/63] lr: 6.9895e-03 eta: 20:15:40 time: 0.3776 data_time: 0.0186 memory: 6760 loss_prob: 2.8125 loss_thr: 1.1560 loss_db: 0.9999 loss: 4.9684 2022/08/25 22:19:34 - mmengine - INFO - Epoch(train) [3][35/63] lr: 6.9895e-03 eta: 20:15:40 time: 0.4745 data_time: 0.0712 memory: 6760 loss_prob: 2.8125 loss_thr: 1.1433 loss_db: 0.9999 loss: 4.9557 2022/08/25 22:19:36 - mmengine - INFO - Epoch(train) [3][40/63] lr: 6.9895e-03 eta: 19:42:45 time: 0.5344 data_time: 0.1146 memory: 6760 loss_prob: 2.8121 loss_thr: 1.1401 loss_db: 0.9998 loss: 4.9521 2022/08/25 22:19:38 - mmengine - INFO - Epoch(train) [3][45/63] lr: 6.9895e-03 eta: 19:42:45 time: 0.4356 data_time: 0.0687 memory: 6760 loss_prob: 2.8120 loss_thr: 1.1331 loss_db: 0.9976 loss: 4.9426 2022/08/25 22:19:40 - mmengine - INFO - Epoch(train) [3][50/63] lr: 6.9895e-03 eta: 19:02:18 time: 0.3765 data_time: 0.0231 memory: 6760 loss_prob: 2.8120 loss_thr: 1.1194 loss_db: 0.9964 loss: 4.9278 2022/08/25 22:19:42 - mmengine - INFO - Epoch(train) [3][55/63] lr: 6.9895e-03 eta: 19:02:18 time: 0.4009 data_time: 0.0187 memory: 6760 loss_prob: 2.8120 loss_thr: 1.1104 loss_db: 0.9986 loss: 4.9210 2022/08/25 22:19:44 - mmengine - INFO - Epoch(train) [3][60/63] lr: 6.9895e-03 eta: 18:27:19 time: 0.3934 data_time: 0.0220 memory: 6760 loss_prob: 2.8122 loss_thr: 1.0956 loss_db: 0.9967 loss: 4.9046 2022/08/25 22:19:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:19:49 - mmengine - INFO - Epoch(train) [4][5/63] lr: 6.9842e-03 eta: 18:27:19 time: 0.5779 data_time: 0.1739 memory: 6760 loss_prob: 2.8125 loss_thr: 1.1165 loss_db: 0.9645 loss: 4.8935 2022/08/25 22:19:51 - mmengine - INFO - Epoch(train) [4][10/63] lr: 6.9842e-03 eta: 17:50:30 time: 0.5653 data_time: 0.1841 memory: 6760 loss_prob: 2.8129 loss_thr: 1.1296 loss_db: 0.9883 loss: 4.9308 2022/08/25 22:19:53 - mmengine - INFO - Epoch(train) [4][15/63] lr: 6.9842e-03 eta: 17:50:30 time: 0.4123 data_time: 0.0288 memory: 6760 loss_prob: 2.8130 loss_thr: 1.1023 loss_db: 0.9924 loss: 4.9077 2022/08/25 22:19:55 - mmengine - INFO - Epoch(train) [4][20/63] lr: 6.9842e-03 eta: 17:23:16 time: 0.4013 data_time: 0.0236 memory: 6760 loss_prob: 2.8135 loss_thr: 1.1049 loss_db: 0.9458 loss: 4.8642 2022/08/25 22:19:57 - mmengine - INFO - Epoch(train) [4][25/63] lr: 6.9842e-03 eta: 17:23:16 time: 0.3775 data_time: 0.0215 memory: 6760 loss_prob: 2.8144 loss_thr: 1.1019 loss_db: 0.8827 loss: 4.7990 2022/08/25 22:19:59 - mmengine - INFO - Epoch(train) [4][30/63] lr: 6.9842e-03 eta: 16:56:25 time: 0.3645 data_time: 0.0160 memory: 6760 loss_prob: 2.8176 loss_thr: 1.0844 loss_db: 0.8595 loss: 4.7614 2022/08/25 22:20:00 - mmengine - INFO - Epoch(train) [4][35/63] lr: 6.9842e-03 eta: 16:56:25 time: 0.3586 data_time: 0.0184 memory: 6760 loss_prob: 2.8226 loss_thr: 1.1130 loss_db: 0.8600 loss: 4.7956 2022/08/25 22:20:04 - mmengine - INFO - Epoch(train) [4][40/63] lr: 6.9842e-03 eta: 16:39:48 time: 0.5085 data_time: 0.0291 memory: 6760 loss_prob: 2.8278 loss_thr: 1.1020 loss_db: 0.7663 loss: 4.6961 2022/08/25 22:20:06 - mmengine - INFO - Epoch(train) [4][45/63] lr: 6.9842e-03 eta: 16:39:48 time: 0.5186 data_time: 0.0290 memory: 6760 loss_prob: 2.8336 loss_thr: 1.0809 loss_db: 0.6786 loss: 4.5931 2022/08/25 22:20:08 - mmengine - INFO - Epoch(train) [4][50/63] lr: 6.9842e-03 eta: 16:17:55 time: 0.3821 data_time: 0.0241 memory: 6760 loss_prob: 2.8378 loss_thr: 1.0926 loss_db: 0.6809 loss: 4.6113 2022/08/25 22:20:09 - mmengine - INFO - Epoch(train) [4][55/63] lr: 6.9842e-03 eta: 16:17:55 time: 0.3740 data_time: 0.0190 memory: 6760 loss_prob: 2.8433 loss_thr: 1.0731 loss_db: 0.6788 loss: 4.5953 2022/08/25 22:20:11 - mmengine - INFO - Epoch(train) [4][60/63] lr: 6.9842e-03 eta: 15:57:02 time: 0.3672 data_time: 0.0153 memory: 6760 loss_prob: 2.8478 loss_thr: 1.0654 loss_db: 0.6789 loss: 4.5921 2022/08/25 22:20:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:20:16 - mmengine - INFO - Epoch(train) [5][5/63] lr: 6.9790e-03 eta: 15:57:02 time: 0.5432 data_time: 0.1678 memory: 6760 loss_prob: 2.8485 loss_thr: 1.0767 loss_db: 0.6958 loss: 4.6210 2022/08/25 22:20:18 - mmengine - INFO - Epoch(train) [5][10/63] lr: 6.9790e-03 eta: 15:34:20 time: 0.5203 data_time: 0.1727 memory: 6760 loss_prob: 2.8424 loss_thr: 1.0725 loss_db: 0.6454 loss: 4.5603 2022/08/25 22:20:20 - mmengine - INFO - Epoch(train) [5][15/63] lr: 6.9790e-03 eta: 15:34:20 time: 0.3663 data_time: 0.0207 memory: 6760 loss_prob: 2.8395 loss_thr: 1.0601 loss_db: 0.6363 loss: 4.5358 2022/08/25 22:20:22 - mmengine - INFO - Epoch(train) [5][20/63] lr: 6.9790e-03 eta: 15:17:03 time: 0.3725 data_time: 0.0220 memory: 6760 loss_prob: 2.8363 loss_thr: 1.0581 loss_db: 0.6805 loss: 4.5750 2022/08/25 22:20:25 - mmengine - INFO - Epoch(train) [5][25/63] lr: 6.9790e-03 eta: 15:17:03 time: 0.5105 data_time: 0.0300 memory: 6760 loss_prob: 2.8335 loss_thr: 1.0704 loss_db: 0.6583 loss: 4.5623 2022/08/25 22:20:26 - mmengine - INFO - Epoch(train) [5][30/63] lr: 6.9790e-03 eta: 15:06:21 time: 0.4928 data_time: 0.0195 memory: 6760 loss_prob: 2.8310 loss_thr: 1.0757 loss_db: 0.6027 loss: 4.5094 2022/08/25 22:20:28 - mmengine - INFO - Epoch(train) [5][35/63] lr: 6.9790e-03 eta: 15:06:21 time: 0.3681 data_time: 0.0217 memory: 6760 loss_prob: 2.8307 loss_thr: 1.0347 loss_db: 0.6080 loss: 4.4734 2022/08/25 22:20:30 - mmengine - INFO - Epoch(train) [5][40/63] lr: 6.9790e-03 eta: 14:51:19 time: 0.3751 data_time: 0.0220 memory: 6760 loss_prob: 2.8335 loss_thr: 1.0692 loss_db: 0.6310 loss: 4.5337 2022/08/25 22:20:33 - mmengine - INFO - Epoch(train) [5][45/63] lr: 6.9790e-03 eta: 14:51:19 time: 0.4271 data_time: 0.0367 memory: 6760 loss_prob: 2.8375 loss_thr: 1.0678 loss_db: 0.6628 loss: 4.5681 2022/08/25 22:20:35 - mmengine - INFO - Epoch(train) [5][50/63] lr: 6.9790e-03 eta: 14:39:56 time: 0.4389 data_time: 0.0493 memory: 6760 loss_prob: 2.8396 loss_thr: 1.0398 loss_db: 0.6189 loss: 4.4983 2022/08/25 22:20:36 - mmengine - INFO - Epoch(train) [5][55/63] lr: 6.9790e-03 eta: 14:39:56 time: 0.3787 data_time: 0.0243 memory: 6760 loss_prob: 2.8411 loss_thr: 1.0280 loss_db: 0.5728 loss: 4.4419 2022/08/25 22:20:38 - mmengine - INFO - Epoch(train) [5][60/63] lr: 6.9790e-03 eta: 14:26:48 time: 0.3776 data_time: 0.0179 memory: 6760 loss_prob: 2.8439 loss_thr: 1.0207 loss_db: 0.5647 loss: 4.4294 2022/08/25 22:20:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:20:43 - mmengine - INFO - Epoch(train) [6][5/63] lr: 6.9737e-03 eta: 14:26:48 time: 0.5466 data_time: 0.1579 memory: 6760 loss_prob: 2.8442 loss_thr: 1.0125 loss_db: 0.5770 loss: 4.4338 2022/08/25 22:20:45 - mmengine - INFO - Epoch(train) [6][10/63] lr: 6.9737e-03 eta: 14:13:39 time: 0.5614 data_time: 0.1655 memory: 6760 loss_prob: 2.8439 loss_thr: 0.9996 loss_db: 0.5332 loss: 4.3766 2022/08/25 22:20:47 - mmengine - INFO - Epoch(train) [6][15/63] lr: 6.9737e-03 eta: 14:13:39 time: 0.3758 data_time: 0.0218 memory: 6760 loss_prob: 2.8422 loss_thr: 0.9833 loss_db: 0.5356 loss: 4.3610 2022/08/25 22:20:49 - mmengine - INFO - Epoch(train) [6][20/63] lr: 6.9737e-03 eta: 14:02:00 time: 0.3722 data_time: 0.0211 memory: 6760 loss_prob: 2.8413 loss_thr: 1.0082 loss_db: 0.5537 loss: 4.4032 2022/08/25 22:20:50 - mmengine - INFO - Epoch(train) [6][25/63] lr: 6.9737e-03 eta: 14:02:00 time: 0.3609 data_time: 0.0179 memory: 6760 loss_prob: 2.8399 loss_thr: 1.0036 loss_db: 0.5499 loss: 4.3934 2022/08/25 22:20:53 - mmengine - INFO - Epoch(train) [6][30/63] lr: 6.9737e-03 eta: 13:52:50 time: 0.4221 data_time: 0.0157 memory: 6760 loss_prob: 2.8386 loss_thr: 1.0034 loss_db: 0.5578 loss: 4.3998 2022/08/25 22:20:55 - mmengine - INFO - Epoch(train) [6][35/63] lr: 6.9737e-03 eta: 13:52:50 time: 0.4384 data_time: 0.0213 memory: 6760 loss_prob: 2.8383 loss_thr: 1.0282 loss_db: 0.6188 loss: 4.4853 2022/08/25 22:20:57 - mmengine - INFO - Epoch(train) [6][40/63] lr: 6.9737e-03 eta: 13:42:41 time: 0.3798 data_time: 0.0238 memory: 6760 loss_prob: 2.8370 loss_thr: 1.0007 loss_db: 0.5854 loss: 4.4231 2022/08/25 22:20:59 - mmengine - INFO - Epoch(train) [6][45/63] lr: 6.9737e-03 eta: 13:42:41 time: 0.3798 data_time: 0.0241 memory: 6760 loss_prob: 2.8350 loss_thr: 0.9742 loss_db: 0.4894 loss: 4.2985 2022/08/25 22:21:00 - mmengine - INFO - Epoch(train) [6][50/63] lr: 6.9737e-03 eta: 13:32:53 time: 0.3739 data_time: 0.0196 memory: 6760 loss_prob: 2.8341 loss_thr: 0.9760 loss_db: 0.4900 loss: 4.3001 2022/08/25 22:21:03 - mmengine - INFO - Epoch(train) [6][55/63] lr: 6.9737e-03 eta: 13:32:53 time: 0.4424 data_time: 0.0194 memory: 6760 loss_prob: 2.8352 loss_thr: 0.9863 loss_db: 0.5347 loss: 4.3561 2022/08/25 22:21:05 - mmengine - INFO - Epoch(train) [6][60/63] lr: 6.9737e-03 eta: 13:27:50 time: 0.5007 data_time: 0.0433 memory: 6760 loss_prob: 2.8349 loss_thr: 0.9728 loss_db: 0.5551 loss: 4.3627 2022/08/25 22:21:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:21:10 - mmengine - INFO - Epoch(train) [7][5/63] lr: 6.9685e-03 eta: 13:27:50 time: 0.5736 data_time: 0.1817 memory: 6760 loss_prob: 2.8344 loss_thr: 0.9471 loss_db: 0.5190 loss: 4.3005 2022/08/25 22:21:13 - mmengine - INFO - Epoch(train) [7][10/63] lr: 6.9685e-03 eta: 13:19:07 time: 0.5719 data_time: 0.1935 memory: 6760 loss_prob: 2.8339 loss_thr: 0.9896 loss_db: 0.4878 loss: 4.3114 2022/08/25 22:21:14 - mmengine - INFO - Epoch(train) [7][15/63] lr: 6.9685e-03 eta: 13:19:07 time: 0.3951 data_time: 0.0279 memory: 6760 loss_prob: 2.8345 loss_thr: 0.9815 loss_db: 0.5006 loss: 4.3166 2022/08/25 22:21:16 - mmengine - INFO - Epoch(train) [7][20/63] lr: 6.9685e-03 eta: 13:10:17 time: 0.3607 data_time: 0.0170 memory: 6760 loss_prob: 2.8356 loss_thr: 0.9694 loss_db: 0.5315 loss: 4.3365 2022/08/25 22:21:18 - mmengine - INFO - Epoch(train) [7][25/63] lr: 6.9685e-03 eta: 13:10:17 time: 0.3661 data_time: 0.0251 memory: 6760 loss_prob: 2.8362 loss_thr: 0.9714 loss_db: 0.5403 loss: 4.3478 2022/08/25 22:21:20 - mmengine - INFO - Epoch(train) [7][30/63] lr: 6.9685e-03 eta: 13:01:55 time: 0.3616 data_time: 0.0199 memory: 6760 loss_prob: 2.8367 loss_thr: 1.0013 loss_db: 0.5279 loss: 4.3659 2022/08/25 22:21:22 - mmengine - INFO - Epoch(train) [7][35/63] lr: 6.9685e-03 eta: 13:01:55 time: 0.3625 data_time: 0.0162 memory: 6760 loss_prob: 2.8366 loss_thr: 0.9964 loss_db: 0.5365 loss: 4.3696 2022/08/25 22:21:25 - mmengine - INFO - Epoch(train) [7][40/63] lr: 6.9685e-03 eta: 12:57:01 time: 0.4637 data_time: 0.0232 memory: 6760 loss_prob: 2.8362 loss_thr: 0.9843 loss_db: 0.5540 loss: 4.3746 2022/08/25 22:21:26 - mmengine - INFO - Epoch(train) [7][45/63] lr: 6.9685e-03 eta: 12:57:01 time: 0.4650 data_time: 0.0248 memory: 6760 loss_prob: 2.8357 loss_thr: 0.9729 loss_db: 0.5256 loss: 4.3342 2022/08/25 22:21:29 - mmengine - INFO - Epoch(train) [7][50/63] lr: 6.9685e-03 eta: 12:51:20 time: 0.4296 data_time: 0.0289 memory: 6760 loss_prob: 2.8382 loss_thr: 0.9634 loss_db: 0.4688 loss: 4.2704 2022/08/25 22:21:31 - mmengine - INFO - Epoch(train) [7][55/63] lr: 6.9685e-03 eta: 12:51:20 time: 0.4293 data_time: 0.0234 memory: 6760 loss_prob: 2.8424 loss_thr: 0.9843 loss_db: 0.5024 loss: 4.3290 2022/08/25 22:21:33 - mmengine - INFO - Epoch(train) [7][60/63] lr: 6.9685e-03 eta: 12:44:11 time: 0.3689 data_time: 0.0153 memory: 6760 loss_prob: 2.8426 loss_thr: 0.9797 loss_db: 0.5583 loss: 4.3805 2022/08/25 22:21:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:21:37 - mmengine - INFO - Epoch(train) [8][5/63] lr: 6.9632e-03 eta: 12:44:11 time: 0.5298 data_time: 0.1618 memory: 6760 loss_prob: 2.8397 loss_thr: 0.9726 loss_db: 0.5208 loss: 4.3331 2022/08/25 22:21:39 - mmengine - INFO - Epoch(train) [8][10/63] lr: 6.9632e-03 eta: 12:37:04 time: 0.5420 data_time: 0.1745 memory: 6760 loss_prob: 2.8412 loss_thr: 0.9440 loss_db: 0.4738 loss: 4.2590 2022/08/25 22:21:41 - mmengine - INFO - Epoch(train) [8][15/63] lr: 6.9632e-03 eta: 12:37:04 time: 0.3802 data_time: 0.0248 memory: 6760 loss_prob: 2.8411 loss_thr: 0.9061 loss_db: 0.4656 loss: 4.2128 2022/08/25 22:21:43 - mmengine - INFO - Epoch(train) [8][20/63] lr: 6.9632e-03 eta: 12:32:14 time: 0.4304 data_time: 0.0179 memory: 6760 loss_prob: 2.8387 loss_thr: 0.9320 loss_db: 0.4501 loss: 4.2208 2022/08/25 22:21:45 - mmengine - INFO - Epoch(train) [8][25/63] lr: 6.9632e-03 eta: 12:32:14 time: 0.4430 data_time: 0.0281 memory: 6760 loss_prob: 2.8384 loss_thr: 0.9543 loss_db: 0.4728 loss: 4.2655 2022/08/25 22:21:47 - mmengine - INFO - Epoch(train) [8][30/63] lr: 6.9632e-03 eta: 12:26:22 time: 0.3834 data_time: 0.0206 memory: 6760 loss_prob: 2.8446 loss_thr: 0.9651 loss_db: 0.4997 loss: 4.3094 2022/08/25 22:21:49 - mmengine - INFO - Epoch(train) [8][35/63] lr: 6.9632e-03 eta: 12:26:22 time: 0.3864 data_time: 0.0203 memory: 6760 loss_prob: 2.8434 loss_thr: 0.9631 loss_db: 0.4825 loss: 4.2889 2022/08/25 22:21:51 - mmengine - INFO - Epoch(train) [8][40/63] lr: 6.9632e-03 eta: 12:20:47 time: 0.3854 data_time: 0.0236 memory: 6760 loss_prob: 2.8362 loss_thr: 0.9342 loss_db: 0.4849 loss: 4.2552 2022/08/25 22:21:53 - mmengine - INFO - Epoch(train) [8][45/63] lr: 6.9632e-03 eta: 12:20:47 time: 0.4239 data_time: 0.0183 memory: 6760 loss_prob: 2.8384 loss_thr: 0.9520 loss_db: 0.5065 loss: 4.2969 2022/08/25 22:21:55 - mmengine - INFO - Epoch(train) [8][50/63] lr: 6.9632e-03 eta: 12:16:49 time: 0.4402 data_time: 0.0284 memory: 6760 loss_prob: 2.8387 loss_thr: 0.9623 loss_db: 0.4811 loss: 4.2821 2022/08/25 22:21:57 - mmengine - INFO - Epoch(train) [8][55/63] lr: 6.9632e-03 eta: 12:16:49 time: 0.3853 data_time: 0.0236 memory: 6760 loss_prob: 2.8383 loss_thr: 0.9340 loss_db: 0.4534 loss: 4.2257 2022/08/25 22:21:59 - mmengine - INFO - Epoch(train) [8][60/63] lr: 6.9632e-03 eta: 12:11:17 time: 0.3710 data_time: 0.0194 memory: 6760 loss_prob: 2.8385 loss_thr: 0.9529 loss_db: 0.4855 loss: 4.2769 2022/08/25 22:22:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:22:04 - mmengine - INFO - Epoch(train) [9][5/63] lr: 6.9580e-03 eta: 12:11:17 time: 0.5195 data_time: 0.1462 memory: 6760 loss_prob: 2.8371 loss_thr: 0.9418 loss_db: 0.4943 loss: 4.2732 2022/08/25 22:22:06 - mmengine - INFO - Epoch(train) [9][10/63] lr: 6.9580e-03 eta: 12:07:16 time: 0.5994 data_time: 0.1482 memory: 6760 loss_prob: 2.8364 loss_thr: 0.9896 loss_db: 0.5494 loss: 4.3755 2022/08/25 22:22:08 - mmengine - INFO - Epoch(train) [9][15/63] lr: 6.9580e-03 eta: 12:07:16 time: 0.4260 data_time: 0.0174 memory: 6760 loss_prob: 2.8344 loss_thr: 0.9932 loss_db: 0.5445 loss: 4.3721 2022/08/25 22:22:10 - mmengine - INFO - Epoch(train) [9][20/63] lr: 6.9580e-03 eta: 12:02:17 time: 0.3771 data_time: 0.0266 memory: 6760 loss_prob: 2.8320 loss_thr: 0.9722 loss_db: 0.5204 loss: 4.3246 2022/08/25 22:22:12 - mmengine - INFO - Epoch(train) [9][25/63] lr: 6.9580e-03 eta: 12:02:17 time: 0.3667 data_time: 0.0221 memory: 6760 loss_prob: 2.8312 loss_thr: 0.9803 loss_db: 0.5317 loss: 4.3432 2022/08/25 22:22:14 - mmengine - INFO - Epoch(train) [9][30/63] lr: 6.9580e-03 eta: 11:58:34 time: 0.4222 data_time: 0.0393 memory: 6760 loss_prob: 2.8311 loss_thr: 0.9479 loss_db: 0.5013 loss: 4.2804 2022/08/25 22:22:16 - mmengine - INFO - Epoch(train) [9][35/63] lr: 6.9580e-03 eta: 11:58:34 time: 0.4308 data_time: 0.0477 memory: 6760 loss_prob: 2.8322 loss_thr: 0.9377 loss_db: 0.5044 loss: 4.2743 2022/08/25 22:22:18 - mmengine - INFO - Epoch(train) [9][40/63] lr: 6.9580e-03 eta: 11:53:43 time: 0.3679 data_time: 0.0199 memory: 6760 loss_prob: 2.8337 loss_thr: 0.9443 loss_db: 0.5147 loss: 4.2927 2022/08/25 22:22:20 - mmengine - INFO - Epoch(train) [9][45/63] lr: 6.9580e-03 eta: 11:53:43 time: 0.3622 data_time: 0.0166 memory: 6760 loss_prob: 2.8360 loss_thr: 0.9425 loss_db: 0.5366 loss: 4.3151 2022/08/25 22:22:21 - mmengine - INFO - Epoch(train) [9][50/63] lr: 6.9580e-03 eta: 11:49:03 time: 0.3679 data_time: 0.0211 memory: 6760 loss_prob: 2.8373 loss_thr: 0.9628 loss_db: 0.5463 loss: 4.3465 2022/08/25 22:22:24 - mmengine - INFO - Epoch(train) [9][55/63] lr: 6.9580e-03 eta: 11:49:03 time: 0.4299 data_time: 0.0247 memory: 6760 loss_prob: 2.8350 loss_thr: 0.9280 loss_db: 0.5275 loss: 4.2905 2022/08/25 22:22:26 - mmengine - INFO - Epoch(train) [9][60/63] lr: 6.9580e-03 eta: 11:46:01 time: 0.4347 data_time: 0.0268 memory: 6760 loss_prob: 2.8360 loss_thr: 0.9193 loss_db: 0.4528 loss: 4.2082 2022/08/25 22:22:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:22:30 - mmengine - INFO - Epoch(train) [10][5/63] lr: 6.9527e-03 eta: 11:46:01 time: 0.5132 data_time: 0.1642 memory: 6760 loss_prob: 2.8339 loss_thr: 0.9432 loss_db: 0.4454 loss: 4.2225 2022/08/25 22:22:32 - mmengine - INFO - Epoch(train) [10][10/63] lr: 6.9527e-03 eta: 11:41:34 time: 0.5340 data_time: 0.1741 memory: 6760 loss_prob: 2.8343 loss_thr: 0.9420 loss_db: 0.4565 loss: 4.2328 2022/08/25 22:22:34 - mmengine - INFO - Epoch(train) [10][15/63] lr: 6.9527e-03 eta: 11:41:34 time: 0.3979 data_time: 0.0304 memory: 6760 loss_prob: 2.8367 loss_thr: 0.9707 loss_db: 0.4756 loss: 4.2829 2022/08/25 22:22:36 - mmengine - INFO - Epoch(train) [10][20/63] lr: 6.9527e-03 eta: 11:37:37 time: 0.3797 data_time: 0.0231 memory: 6760 loss_prob: 2.8385 loss_thr: 0.9467 loss_db: 0.4493 loss: 4.2345 2022/08/25 22:22:38 - mmengine - INFO - Epoch(train) [10][25/63] lr: 6.9527e-03 eta: 11:37:37 time: 0.3669 data_time: 0.0226 memory: 6760 loss_prob: 2.8405 loss_thr: 0.9207 loss_db: 0.4557 loss: 4.2169 2022/08/25 22:22:39 - mmengine - INFO - Epoch(train) [10][30/63] lr: 6.9527e-03 eta: 11:33:24 time: 0.3615 data_time: 0.0189 memory: 6760 loss_prob: 2.8424 loss_thr: 0.9342 loss_db: 0.4656 loss: 4.2422 2022/08/25 22:22:41 - mmengine - INFO - Epoch(train) [10][35/63] lr: 6.9527e-03 eta: 11:33:24 time: 0.3788 data_time: 0.0187 memory: 6760 loss_prob: 2.8438 loss_thr: 0.9279 loss_db: 0.4533 loss: 4.2250 2022/08/25 22:22:44 - mmengine - INFO - Epoch(train) [10][40/63] lr: 6.9527e-03 eta: 11:32:09 time: 0.4982 data_time: 0.0253 memory: 6760 loss_prob: 2.8444 loss_thr: 0.9316 loss_db: 0.4371 loss: 4.2130 2022/08/25 22:22:46 - mmengine - INFO - Epoch(train) [10][45/63] lr: 6.9527e-03 eta: 11:32:09 time: 0.4797 data_time: 0.0238 memory: 6760 loss_prob: 2.8415 loss_thr: 0.9262 loss_db: 0.4660 loss: 4.2337 2022/08/25 22:22:48 - mmengine - INFO - Epoch(train) [10][50/63] lr: 6.9527e-03 eta: 11:28:24 time: 0.3730 data_time: 0.0225 memory: 6760 loss_prob: 2.8407 loss_thr: 0.9121 loss_db: 0.4649 loss: 4.2177 2022/08/25 22:22:50 - mmengine - INFO - Epoch(train) [10][55/63] lr: 6.9527e-03 eta: 11:28:24 time: 0.3709 data_time: 0.0199 memory: 6760 loss_prob: 2.8413 loss_thr: 0.9316 loss_db: 0.4335 loss: 4.2065 2022/08/25 22:22:52 - mmengine - INFO - Epoch(train) [10][60/63] lr: 6.9527e-03 eta: 11:24:38 time: 0.3669 data_time: 0.0170 memory: 6760 loss_prob: 2.8393 loss_thr: 0.9176 loss_db: 0.4344 loss: 4.1912 2022/08/25 22:22:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:22:56 - mmengine - INFO - Epoch(train) [11][5/63] lr: 6.9474e-03 eta: 11:24:38 time: 0.5297 data_time: 0.1670 memory: 6760 loss_prob: 2.8371 loss_thr: 0.9193 loss_db: 0.4813 loss: 4.2376 2022/08/25 22:22:58 - mmengine - INFO - Epoch(train) [11][10/63] lr: 6.9474e-03 eta: 11:20:58 time: 0.5307 data_time: 0.1695 memory: 6760 loss_prob: 2.8369 loss_thr: 0.9067 loss_db: 0.4316 loss: 4.1753 2022/08/25 22:23:00 - mmengine - INFO - Epoch(train) [11][15/63] lr: 6.9474e-03 eta: 11:20:58 time: 0.3898 data_time: 0.0229 memory: 6760 loss_prob: 2.8384 loss_thr: 0.9069 loss_db: 0.4269 loss: 4.1722 2022/08/25 22:23:03 - mmengine - INFO - Epoch(train) [11][20/63] lr: 6.9474e-03 eta: 11:19:27 time: 0.4704 data_time: 0.0189 memory: 6760 loss_prob: 2.8410 loss_thr: 0.8903 loss_db: 0.4036 loss: 4.1348 2022/08/25 22:23:05 - mmengine - INFO - Epoch(train) [11][25/63] lr: 6.9474e-03 eta: 11:19:27 time: 0.5071 data_time: 0.0304 memory: 6760 loss_prob: 2.8414 loss_thr: 0.8878 loss_db: 0.4278 loss: 4.1569 2022/08/25 22:23:07 - mmengine - INFO - Epoch(train) [11][30/63] lr: 6.9474e-03 eta: 11:17:00 time: 0.4193 data_time: 0.0268 memory: 6760 loss_prob: 2.8398 loss_thr: 0.8945 loss_db: 0.4227 loss: 4.1570 2022/08/25 22:23:09 - mmengine - INFO - Epoch(train) [11][35/63] lr: 6.9474e-03 eta: 11:17:00 time: 0.3824 data_time: 0.0213 memory: 6760 loss_prob: 2.8390 loss_thr: 0.8966 loss_db: 0.4189 loss: 4.1545 2022/08/25 22:23:11 - mmengine - INFO - Epoch(train) [11][40/63] lr: 6.9474e-03 eta: 11:13:47 time: 0.3747 data_time: 0.0177 memory: 6760 loss_prob: 2.8398 loss_thr: 0.8994 loss_db: 0.4339 loss: 4.1732 2022/08/25 22:23:13 - mmengine - INFO - Epoch(train) [11][45/63] lr: 6.9474e-03 eta: 11:13:47 time: 0.4200 data_time: 0.0167 memory: 6760 loss_prob: 2.8406 loss_thr: 0.9013 loss_db: 0.4283 loss: 4.1702 2022/08/25 22:23:15 - mmengine - INFO - Epoch(train) [11][50/63] lr: 6.9474e-03 eta: 11:11:55 time: 0.4422 data_time: 0.0299 memory: 6760 loss_prob: 2.8397 loss_thr: 0.9201 loss_db: 0.4762 loss: 4.2360 2022/08/25 22:23:17 - mmengine - INFO - Epoch(train) [11][55/63] lr: 6.9474e-03 eta: 11:11:55 time: 0.3930 data_time: 0.0252 memory: 6760 loss_prob: 2.8405 loss_thr: 0.9246 loss_db: 0.4909 loss: 4.2559 2022/08/25 22:23:19 - mmengine - INFO - Epoch(train) [11][60/63] lr: 6.9474e-03 eta: 11:08:54 time: 0.3767 data_time: 0.0185 memory: 6760 loss_prob: 2.8412 loss_thr: 0.8957 loss_db: 0.4486 loss: 4.1855 2022/08/25 22:23:20 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:23:24 - mmengine - INFO - Epoch(train) [12][5/63] lr: 6.9422e-03 eta: 11:08:54 time: 0.5504 data_time: 0.1447 memory: 6760 loss_prob: 2.8400 loss_thr: 0.9022 loss_db: 0.4472 loss: 4.1894 2022/08/25 22:23:26 - mmengine - INFO - Epoch(train) [12][10/63] lr: 6.9422e-03 eta: 11:06:45 time: 0.5820 data_time: 0.1528 memory: 6760 loss_prob: 2.8394 loss_thr: 0.9185 loss_db: 0.4548 loss: 4.2127 2022/08/25 22:23:28 - mmengine - INFO - Epoch(train) [12][15/63] lr: 6.9422e-03 eta: 11:06:45 time: 0.3828 data_time: 0.0215 memory: 6760 loss_prob: 2.8382 loss_thr: 0.9222 loss_db: 0.4552 loss: 4.2156 2022/08/25 22:23:30 - mmengine - INFO - Epoch(train) [12][20/63] lr: 6.9422e-03 eta: 11:04:09 time: 0.3908 data_time: 0.0295 memory: 6760 loss_prob: 2.8375 loss_thr: 0.9068 loss_db: 0.4305 loss: 4.1747 2022/08/25 22:23:32 - mmengine - INFO - Epoch(train) [12][25/63] lr: 6.9422e-03 eta: 11:04:09 time: 0.3973 data_time: 0.0306 memory: 6760 loss_prob: 2.8383 loss_thr: 0.8982 loss_db: 0.4105 loss: 4.1470 2022/08/25 22:23:35 - mmengine - INFO - Epoch(train) [12][30/63] lr: 6.9422e-03 eta: 11:03:20 time: 0.4901 data_time: 0.0186 memory: 6760 loss_prob: 2.8386 loss_thr: 0.8994 loss_db: 0.4365 loss: 4.1744 2022/08/25 22:23:37 - mmengine - INFO - Epoch(train) [12][35/63] lr: 6.9422e-03 eta: 11:03:20 time: 0.5042 data_time: 0.0281 memory: 6760 loss_prob: 2.8378 loss_thr: 0.8937 loss_db: 0.4645 loss: 4.1960 2022/08/25 22:23:39 - mmengine - INFO - Epoch(train) [12][40/63] lr: 6.9422e-03 eta: 11:00:41 time: 0.3805 data_time: 0.0221 memory: 6760 loss_prob: 2.8376 loss_thr: 0.8760 loss_db: 0.4379 loss: 4.1515 2022/08/25 22:23:41 - mmengine - INFO - Epoch(train) [12][45/63] lr: 6.9422e-03 eta: 11:00:41 time: 0.3693 data_time: 0.0180 memory: 6760 loss_prob: 2.8376 loss_thr: 0.8680 loss_db: 0.4247 loss: 4.1303 2022/08/25 22:23:43 - mmengine - INFO - Epoch(train) [12][50/63] lr: 6.9422e-03 eta: 10:58:56 time: 0.4306 data_time: 0.0314 memory: 6760 loss_prob: 2.8387 loss_thr: 0.8805 loss_db: 0.4354 loss: 4.1545 2022/08/25 22:23:45 - mmengine - INFO - Epoch(train) [12][55/63] lr: 6.9422e-03 eta: 10:58:56 time: 0.4574 data_time: 0.0401 memory: 6760 loss_prob: 2.8387 loss_thr: 0.9108 loss_db: 0.4554 loss: 4.2048 2022/08/25 22:23:47 - mmengine - INFO - Epoch(train) [12][60/63] lr: 6.9422e-03 eta: 10:56:50 time: 0.4064 data_time: 0.0365 memory: 6760 loss_prob: 2.8367 loss_thr: 0.9217 loss_db: 0.4380 loss: 4.1964 2022/08/25 22:23:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:23:52 - mmengine - INFO - Epoch(train) [13][5/63] lr: 6.9369e-03 eta: 10:56:50 time: 0.5961 data_time: 0.1620 memory: 6760 loss_prob: 2.8394 loss_thr: 0.8926 loss_db: 0.4075 loss: 4.1394 2022/08/25 22:23:54 - mmengine - INFO - Epoch(train) [13][10/63] lr: 6.9369e-03 eta: 10:54:25 time: 0.5439 data_time: 0.1757 memory: 6760 loss_prob: 2.8386 loss_thr: 0.9048 loss_db: 0.4395 loss: 4.1829 2022/08/25 22:23:56 - mmengine - INFO - Epoch(train) [13][15/63] lr: 6.9369e-03 eta: 10:54:25 time: 0.3815 data_time: 0.0251 memory: 6760 loss_prob: 2.8397 loss_thr: 0.9246 loss_db: 0.4339 loss: 4.1983 2022/08/25 22:23:58 - mmengine - INFO - Epoch(train) [13][20/63] lr: 6.9369e-03 eta: 10:51:46 time: 0.3650 data_time: 0.0175 memory: 6760 loss_prob: 2.8396 loss_thr: 0.9205 loss_db: 0.4018 loss: 4.1619 2022/08/25 22:24:00 - mmengine - INFO - Epoch(train) [13][25/63] lr: 6.9369e-03 eta: 10:51:46 time: 0.3704 data_time: 0.0239 memory: 6760 loss_prob: 2.8411 loss_thr: 0.8857 loss_db: 0.4062 loss: 4.1330 2022/08/25 22:24:02 - mmengine - INFO - Epoch(train) [13][30/63] lr: 6.9369e-03 eta: 10:49:17 time: 0.3718 data_time: 0.0185 memory: 6760 loss_prob: 2.8428 loss_thr: 0.8820 loss_db: 0.4468 loss: 4.1716 2022/08/25 22:24:05 - mmengine - INFO - Epoch(train) [13][35/63] lr: 6.9369e-03 eta: 10:49:17 time: 0.4811 data_time: 0.0482 memory: 6760 loss_prob: 2.8420 loss_thr: 0.8853 loss_db: 0.4465 loss: 4.1738 2022/08/25 22:24:07 - mmengine - INFO - Epoch(train) [13][40/63] lr: 6.9369e-03 eta: 10:48:53 time: 0.5005 data_time: 0.0616 memory: 6760 loss_prob: 2.8405 loss_thr: 0.8806 loss_db: 0.4389 loss: 4.1600 2022/08/25 22:24:09 - mmengine - INFO - Epoch(train) [13][45/63] lr: 6.9369e-03 eta: 10:48:53 time: 0.3949 data_time: 0.0339 memory: 6760 loss_prob: 2.8406 loss_thr: 0.8883 loss_db: 0.4588 loss: 4.1878 2022/08/25 22:24:11 - mmengine - INFO - Epoch(train) [13][50/63] lr: 6.9369e-03 eta: 10:46:38 time: 0.3803 data_time: 0.0225 memory: 6760 loss_prob: 2.8404 loss_thr: 0.9078 loss_db: 0.4305 loss: 4.1788 2022/08/25 22:24:12 - mmengine - INFO - Epoch(train) [13][55/63] lr: 6.9369e-03 eta: 10:46:38 time: 0.3807 data_time: 0.0180 memory: 6760 loss_prob: 2.8392 loss_thr: 0.9027 loss_db: 0.4203 loss: 4.1622 2022/08/25 22:24:14 - mmengine - INFO - Epoch(train) [13][60/63] lr: 6.9369e-03 eta: 10:44:38 time: 0.3931 data_time: 0.0225 memory: 6760 loss_prob: 2.8387 loss_thr: 0.8942 loss_db: 0.4464 loss: 4.1794 2022/08/25 22:24:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:24:19 - mmengine - INFO - Epoch(train) [14][5/63] lr: 6.9317e-03 eta: 10:44:38 time: 0.4828 data_time: 0.1506 memory: 6760 loss_prob: 2.8398 loss_thr: 0.8893 loss_db: 0.4134 loss: 4.1426 2022/08/25 22:24:21 - mmengine - INFO - Epoch(train) [14][10/63] lr: 6.9317e-03 eta: 10:42:20 time: 0.5274 data_time: 0.1666 memory: 6760 loss_prob: 2.8385 loss_thr: 0.8624 loss_db: 0.4212 loss: 4.1222 2022/08/25 22:24:23 - mmengine - INFO - Epoch(train) [14][15/63] lr: 6.9317e-03 eta: 10:42:20 time: 0.4155 data_time: 0.0273 memory: 6760 loss_prob: 2.8390 loss_thr: 0.8550 loss_db: 0.4066 loss: 4.1006 2022/08/25 22:24:25 - mmengine - INFO - Epoch(train) [14][20/63] lr: 6.9317e-03 eta: 10:40:30 time: 0.3982 data_time: 0.0141 memory: 6760 loss_prob: 2.8394 loss_thr: 0.8792 loss_db: 0.3913 loss: 4.1099 2022/08/25 22:24:27 - mmengine - INFO - Epoch(train) [14][25/63] lr: 6.9317e-03 eta: 10:40:30 time: 0.3851 data_time: 0.0255 memory: 6760 loss_prob: 2.8383 loss_thr: 0.8852 loss_db: 0.4128 loss: 4.1363 2022/08/25 22:24:28 - mmengine - INFO - Epoch(train) [14][30/63] lr: 6.9317e-03 eta: 10:38:29 time: 0.3816 data_time: 0.0181 memory: 6760 loss_prob: 2.8383 loss_thr: 0.8815 loss_db: 0.4391 loss: 4.1590 2022/08/25 22:24:30 - mmengine - INFO - Epoch(train) [14][35/63] lr: 6.9317e-03 eta: 10:38:29 time: 0.3720 data_time: 0.0167 memory: 6760 loss_prob: 2.8395 loss_thr: 0.8608 loss_db: 0.4146 loss: 4.1150 2022/08/25 22:24:32 - mmengine - INFO - Epoch(train) [14][40/63] lr: 6.9317e-03 eta: 10:36:33 time: 0.3855 data_time: 0.0236 memory: 6760 loss_prob: 2.8414 loss_thr: 0.8601 loss_db: 0.3851 loss: 4.0865 2022/08/25 22:24:35 - mmengine - INFO - Epoch(train) [14][45/63] lr: 6.9317e-03 eta: 10:36:33 time: 0.4307 data_time: 0.0464 memory: 6760 loss_prob: 2.8431 loss_thr: 0.8816 loss_db: 0.4231 loss: 4.1478 2022/08/25 22:24:37 - mmengine - INFO - Epoch(train) [14][50/63] lr: 6.9317e-03 eta: 10:35:16 time: 0.4267 data_time: 0.0515 memory: 6760 loss_prob: 2.8440 loss_thr: 0.9060 loss_db: 0.4614 loss: 4.2115 2022/08/25 22:24:38 - mmengine - INFO - Epoch(train) [14][55/63] lr: 6.9317e-03 eta: 10:35:16 time: 0.3727 data_time: 0.0211 memory: 6760 loss_prob: 2.8429 loss_thr: 0.8845 loss_db: 0.4618 loss: 4.1892 2022/08/25 22:24:40 - mmengine - INFO - Epoch(train) [14][60/63] lr: 6.9317e-03 eta: 10:33:10 time: 0.3688 data_time: 0.0149 memory: 6760 loss_prob: 2.8422 loss_thr: 0.8527 loss_db: 0.3914 loss: 4.0863 2022/08/25 22:24:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:24:45 - mmengine - INFO - Epoch(train) [15][5/63] lr: 6.9264e-03 eta: 10:33:10 time: 0.5398 data_time: 0.1549 memory: 6760 loss_prob: 2.8411 loss_thr: 0.8789 loss_db: 0.4039 loss: 4.1239 2022/08/25 22:24:47 - mmengine - INFO - Epoch(train) [15][10/63] lr: 6.9264e-03 eta: 10:31:47 time: 0.5693 data_time: 0.1654 memory: 6760 loss_prob: 2.8411 loss_thr: 0.8942 loss_db: 0.4440 loss: 4.1793 2022/08/25 22:24:49 - mmengine - INFO - Epoch(train) [15][15/63] lr: 6.9264e-03 eta: 10:31:47 time: 0.3862 data_time: 0.0216 memory: 6760 loss_prob: 2.8415 loss_thr: 0.9059 loss_db: 0.4353 loss: 4.1827 2022/08/25 22:24:51 - mmengine - INFO - Epoch(train) [15][20/63] lr: 6.9264e-03 eta: 10:30:01 time: 0.3850 data_time: 0.0160 memory: 6760 loss_prob: 2.8407 loss_thr: 0.8843 loss_db: 0.4008 loss: 4.1259 2022/08/25 22:24:53 - mmengine - INFO - Epoch(train) [15][25/63] lr: 6.9264e-03 eta: 10:30:01 time: 0.4206 data_time: 0.0177 memory: 6760 loss_prob: 2.8409 loss_thr: 0.8839 loss_db: 0.3890 loss: 4.1138 2022/08/25 22:24:55 - mmengine - INFO - Epoch(train) [15][30/63] lr: 6.9264e-03 eta: 10:28:54 time: 0.4305 data_time: 0.0229 memory: 6760 loss_prob: 2.8417 loss_thr: 0.9027 loss_db: 0.4174 loss: 4.1617 2022/08/25 22:24:57 - mmengine - INFO - Epoch(train) [15][35/63] lr: 6.9264e-03 eta: 10:28:54 time: 0.3945 data_time: 0.0310 memory: 6760 loss_prob: 2.8429 loss_thr: 0.8622 loss_db: 0.4045 loss: 4.1096 2022/08/25 22:24:59 - mmengine - INFO - Epoch(train) [15][40/63] lr: 6.9264e-03 eta: 10:26:57 time: 0.3670 data_time: 0.0227 memory: 6760 loss_prob: 2.8441 loss_thr: 0.8473 loss_db: 0.3806 loss: 4.0720 2022/08/25 22:25:00 - mmengine - INFO - Epoch(train) [15][45/63] lr: 6.9264e-03 eta: 10:26:57 time: 0.3573 data_time: 0.0159 memory: 6760 loss_prob: 2.8442 loss_thr: 0.8359 loss_db: 0.3688 loss: 4.0489 2022/08/25 22:25:03 - mmengine - INFO - Epoch(train) [15][50/63] lr: 6.9264e-03 eta: 10:25:27 time: 0.3986 data_time: 0.0230 memory: 6760 loss_prob: 2.8444 loss_thr: 0.8442 loss_db: 0.4056 loss: 4.0942 2022/08/25 22:25:05 - mmengine - INFO - Epoch(train) [15][55/63] lr: 6.9264e-03 eta: 10:25:27 time: 0.4760 data_time: 0.0393 memory: 6760 loss_prob: 2.8453 loss_thr: 0.8932 loss_db: 0.4172 loss: 4.1556 2022/08/25 22:25:07 - mmengine - INFO - Epoch(train) [15][60/63] lr: 6.9264e-03 eta: 10:24:38 time: 0.4471 data_time: 0.0420 memory: 6760 loss_prob: 2.8445 loss_thr: 0.8646 loss_db: 0.3862 loss: 4.0953 2022/08/25 22:25:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:25:12 - mmengine - INFO - Epoch(train) [16][5/63] lr: 6.9211e-03 eta: 10:24:38 time: 0.5709 data_time: 0.1987 memory: 6760 loss_prob: 2.8459 loss_thr: 0.8641 loss_db: 0.4012 loss: 4.1112 2022/08/25 22:25:14 - mmengine - INFO - Epoch(train) [16][10/63] lr: 6.9211e-03 eta: 10:23:46 time: 0.5942 data_time: 0.2157 memory: 6760 loss_prob: 2.8446 loss_thr: 0.8736 loss_db: 0.3914 loss: 4.1096 2022/08/25 22:25:16 - mmengine - INFO - Epoch(train) [16][15/63] lr: 6.9211e-03 eta: 10:23:46 time: 0.3854 data_time: 0.0246 memory: 6760 loss_prob: 2.8417 loss_thr: 0.8610 loss_db: 0.4167 loss: 4.1194 2022/08/25 22:25:18 - mmengine - INFO - Epoch(train) [16][20/63] lr: 6.9211e-03 eta: 10:22:00 time: 0.3703 data_time: 0.0185 memory: 6760 loss_prob: 2.8420 loss_thr: 0.8503 loss_db: 0.4083 loss: 4.1007 2022/08/25 22:25:20 - mmengine - INFO - Epoch(train) [16][25/63] lr: 6.9211e-03 eta: 10:22:00 time: 0.3833 data_time: 0.0269 memory: 6760 loss_prob: 2.8429 loss_thr: 0.8747 loss_db: 0.4052 loss: 4.1227 2022/08/25 22:25:22 - mmengine - INFO - Epoch(train) [16][30/63] lr: 6.9211e-03 eta: 10:20:16 time: 0.3706 data_time: 0.0172 memory: 6760 loss_prob: 2.8409 loss_thr: 0.8596 loss_db: 0.3997 loss: 4.1002 2022/08/25 22:25:25 - mmengine - INFO - Epoch(train) [16][35/63] lr: 6.9211e-03 eta: 10:20:16 time: 0.5158 data_time: 0.0334 memory: 6760 loss_prob: 2.8399 loss_thr: 0.8441 loss_db: 0.3946 loss: 4.0786 2022/08/25 22:25:27 - mmengine - INFO - Epoch(train) [16][40/63] lr: 6.9211e-03 eta: 10:20:31 time: 0.5259 data_time: 0.0369 memory: 6760 loss_prob: 2.8411 loss_thr: 0.8739 loss_db: 0.4059 loss: 4.1209 2022/08/25 22:25:29 - mmengine - INFO - Epoch(train) [16][45/63] lr: 6.9211e-03 eta: 10:20:31 time: 0.3795 data_time: 0.0220 memory: 6760 loss_prob: 2.8429 loss_thr: 0.8852 loss_db: 0.3972 loss: 4.1252 2022/08/25 22:25:31 - mmengine - INFO - Epoch(train) [16][50/63] lr: 6.9211e-03 eta: 10:18:55 time: 0.3777 data_time: 0.0268 memory: 6760 loss_prob: 2.8431 loss_thr: 0.8784 loss_db: 0.4214 loss: 4.1429 2022/08/25 22:25:33 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:25:33 - mmengine - INFO - Epoch(train) [16][55/63] lr: 6.9211e-03 eta: 10:18:55 time: 0.3691 data_time: 0.0184 memory: 6760 loss_prob: 2.8431 loss_thr: 0.8421 loss_db: 0.4017 loss: 4.0869 2022/08/25 22:25:35 - mmengine - INFO - Epoch(train) [16][60/63] lr: 6.9211e-03 eta: 10:17:36 time: 0.3981 data_time: 0.0241 memory: 6760 loss_prob: 2.8442 loss_thr: 0.8172 loss_db: 0.3599 loss: 4.0213 2022/08/25 22:25:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:25:39 - mmengine - INFO - Epoch(train) [17][5/63] lr: 6.9159e-03 eta: 10:17:36 time: 0.5073 data_time: 0.1647 memory: 6760 loss_prob: 2.8463 loss_thr: 0.8757 loss_db: 0.4075 loss: 4.1294 2022/08/25 22:25:41 - mmengine - INFO - Epoch(train) [17][10/63] lr: 6.9159e-03 eta: 10:16:08 time: 0.5340 data_time: 0.1736 memory: 6760 loss_prob: 2.8450 loss_thr: 0.8441 loss_db: 0.3910 loss: 4.0801 2022/08/25 22:25:43 - mmengine - INFO - Epoch(train) [17][15/63] lr: 6.9159e-03 eta: 10:16:08 time: 0.4100 data_time: 0.0225 memory: 6760 loss_prob: 2.8442 loss_thr: 0.8387 loss_db: 0.3865 loss: 4.0694 2022/08/25 22:25:45 - mmengine - INFO - Epoch(train) [17][20/63] lr: 6.9159e-03 eta: 10:15:04 time: 0.4148 data_time: 0.0248 memory: 6760 loss_prob: 2.8436 loss_thr: 0.8460 loss_db: 0.3877 loss: 4.0774 2022/08/25 22:25:47 - mmengine - INFO - Epoch(train) [17][25/63] lr: 6.9159e-03 eta: 10:15:04 time: 0.3817 data_time: 0.0225 memory: 6760 loss_prob: 2.8443 loss_thr: 0.8430 loss_db: 0.3649 loss: 4.0522 2022/08/25 22:25:49 - mmengine - INFO - Epoch(train) [17][30/63] lr: 6.9159e-03 eta: 10:13:29 time: 0.3690 data_time: 0.0147 memory: 6760 loss_prob: 2.8455 loss_thr: 0.8569 loss_db: 0.3648 loss: 4.0672 2022/08/25 22:25:51 - mmengine - INFO - Epoch(train) [17][35/63] lr: 6.9159e-03 eta: 10:13:29 time: 0.3613 data_time: 0.0179 memory: 6760 loss_prob: 2.8453 loss_thr: 0.8482 loss_db: 0.3574 loss: 4.0509 2022/08/25 22:25:53 - mmengine - INFO - Epoch(train) [17][40/63] lr: 6.9159e-03 eta: 10:12:59 time: 0.4583 data_time: 0.0228 memory: 6760 loss_prob: 2.8464 loss_thr: 0.8395 loss_db: 0.3563 loss: 4.0423 2022/08/25 22:25:55 - mmengine - INFO - Epoch(train) [17][45/63] lr: 6.9159e-03 eta: 10:12:59 time: 0.4884 data_time: 0.0330 memory: 6760 loss_prob: 2.8495 loss_thr: 0.8646 loss_db: 0.3895 loss: 4.1036 2022/08/25 22:25:57 - mmengine - INFO - Epoch(train) [17][50/63] lr: 6.9159e-03 eta: 10:11:43 time: 0.3924 data_time: 0.0280 memory: 6760 loss_prob: 2.8479 loss_thr: 0.8670 loss_db: 0.4145 loss: 4.1295 2022/08/25 22:25:59 - mmengine - INFO - Epoch(train) [17][55/63] lr: 6.9159e-03 eta: 10:11:43 time: 0.3664 data_time: 0.0169 memory: 6760 loss_prob: 2.8446 loss_thr: 0.8462 loss_db: 0.4222 loss: 4.1131 2022/08/25 22:26:01 - mmengine - INFO - Epoch(train) [17][60/63] lr: 6.9159e-03 eta: 10:10:12 time: 0.3691 data_time: 0.0213 memory: 6760 loss_prob: 2.8452 loss_thr: 0.8716 loss_db: 0.4234 loss: 4.1401 2022/08/25 22:26:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:26:06 - mmengine - INFO - Epoch(train) [18][5/63] lr: 6.9106e-03 eta: 10:10:12 time: 0.5893 data_time: 0.1806 memory: 6760 loss_prob: 2.8434 loss_thr: 0.8538 loss_db: 0.4126 loss: 4.1098 2022/08/25 22:26:08 - mmengine - INFO - Epoch(train) [18][10/63] lr: 6.9106e-03 eta: 10:09:40 time: 0.6024 data_time: 0.1842 memory: 6760 loss_prob: 2.8397 loss_thr: 0.8737 loss_db: 0.4187 loss: 4.1321 2022/08/25 22:26:10 - mmengine - INFO - Epoch(train) [18][15/63] lr: 6.9106e-03 eta: 10:09:40 time: 0.3717 data_time: 0.0203 memory: 6760 loss_prob: 2.8379 loss_thr: 0.8799 loss_db: 0.4137 loss: 4.1315 2022/08/25 22:26:12 - mmengine - INFO - Epoch(train) [18][20/63] lr: 6.9106e-03 eta: 10:08:13 time: 0.3704 data_time: 0.0135 memory: 6760 loss_prob: 2.8388 loss_thr: 0.8571 loss_db: 0.3868 loss: 4.0827 2022/08/25 22:26:15 - mmengine - INFO - Epoch(train) [18][25/63] lr: 6.9106e-03 eta: 10:08:13 time: 0.4994 data_time: 0.0360 memory: 6760 loss_prob: 2.8419 loss_thr: 0.8670 loss_db: 0.3925 loss: 4.1014 2022/08/25 22:26:17 - mmengine - INFO - Epoch(train) [18][30/63] lr: 6.9106e-03 eta: 10:08:14 time: 0.4981 data_time: 0.0343 memory: 6760 loss_prob: 2.8430 loss_thr: 0.8544 loss_db: 0.3978 loss: 4.0952 2022/08/25 22:26:19 - mmengine - INFO - Epoch(train) [18][35/63] lr: 6.9106e-03 eta: 10:08:14 time: 0.3765 data_time: 0.0197 memory: 6760 loss_prob: 2.8411 loss_thr: 0.8561 loss_db: 0.4032 loss: 4.1004 2022/08/25 22:26:20 - mmengine - INFO - Epoch(train) [18][40/63] lr: 6.9106e-03 eta: 10:06:52 time: 0.3751 data_time: 0.0192 memory: 6760 loss_prob: 2.8403 loss_thr: 0.8593 loss_db: 0.3934 loss: 4.0930 2022/08/25 22:26:23 - mmengine - INFO - Epoch(train) [18][45/63] lr: 6.9106e-03 eta: 10:06:52 time: 0.3855 data_time: 0.0178 memory: 6760 loss_prob: 2.8426 loss_thr: 0.8489 loss_db: 0.3982 loss: 4.0897 2022/08/25 22:26:26 - mmengine - INFO - Epoch(train) [18][50/63] lr: 6.9106e-03 eta: 10:07:31 time: 0.5545 data_time: 0.0463 memory: 6760 loss_prob: 2.8446 loss_thr: 0.8537 loss_db: 0.4280 loss: 4.1263 2022/08/25 22:26:28 - mmengine - INFO - Epoch(train) [18][55/63] lr: 6.9106e-03 eta: 10:07:31 time: 0.5356 data_time: 0.0412 memory: 6760 loss_prob: 2.8441 loss_thr: 0.8633 loss_db: 0.4327 loss: 4.1401 2022/08/25 22:26:30 - mmengine - INFO - Epoch(train) [18][60/63] lr: 6.9106e-03 eta: 10:06:10 time: 0.3737 data_time: 0.0154 memory: 6760 loss_prob: 2.8426 loss_thr: 0.8610 loss_db: 0.4292 loss: 4.1328 2022/08/25 22:26:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:26:35 - mmengine - INFO - Epoch(train) [19][5/63] lr: 6.9054e-03 eta: 10:06:10 time: 0.5510 data_time: 0.1588 memory: 6760 loss_prob: 2.8449 loss_thr: 0.8850 loss_db: 0.3686 loss: 4.0985 2022/08/25 22:26:36 - mmengine - INFO - Epoch(train) [19][10/63] lr: 6.9054e-03 eta: 10:05:19 time: 0.5669 data_time: 0.1763 memory: 6760 loss_prob: 2.8457 loss_thr: 0.8489 loss_db: 0.3561 loss: 4.0507 2022/08/25 22:26:38 - mmengine - INFO - Epoch(train) [19][15/63] lr: 6.9054e-03 eta: 10:05:19 time: 0.3818 data_time: 0.0265 memory: 6760 loss_prob: 2.8451 loss_thr: 0.8474 loss_db: 0.3862 loss: 4.0787 2022/08/25 22:26:40 - mmengine - INFO - Epoch(train) [19][20/63] lr: 6.9054e-03 eta: 10:03:59 time: 0.3709 data_time: 0.0146 memory: 6760 loss_prob: 2.8451 loss_thr: 0.8658 loss_db: 0.3955 loss: 4.1065 2022/08/25 22:26:42 - mmengine - INFO - Epoch(train) [19][25/63] lr: 6.9054e-03 eta: 10:03:59 time: 0.3789 data_time: 0.0213 memory: 6760 loss_prob: 2.8474 loss_thr: 0.8611 loss_db: 0.3974 loss: 4.1058 2022/08/25 22:26:46 - mmengine - INFO - Epoch(train) [19][30/63] lr: 6.9054e-03 eta: 10:04:26 time: 0.5369 data_time: 0.0226 memory: 6760 loss_prob: 2.8483 loss_thr: 0.8409 loss_db: 0.3889 loss: 4.0780 2022/08/25 22:26:48 - mmengine - INFO - Epoch(train) [19][35/63] lr: 6.9054e-03 eta: 10:04:26 time: 0.5433 data_time: 0.0275 memory: 6760 loss_prob: 2.8468 loss_thr: 0.8360 loss_db: 0.3754 loss: 4.0582 2022/08/25 22:26:50 - mmengine - INFO - Epoch(train) [19][40/63] lr: 6.9054e-03 eta: 10:03:31 time: 0.4084 data_time: 0.0240 memory: 6760 loss_prob: 2.8468 loss_thr: 0.8815 loss_db: 0.3875 loss: 4.1158 2022/08/25 22:26:52 - mmengine - INFO - Epoch(train) [19][45/63] lr: 6.9054e-03 eta: 10:03:31 time: 0.4067 data_time: 0.0186 memory: 6760 loss_prob: 2.8468 loss_thr: 0.8706 loss_db: 0.4047 loss: 4.1222 2022/08/25 22:26:54 - mmengine - INFO - Epoch(train) [19][50/63] lr: 6.9054e-03 eta: 10:02:48 time: 0.4248 data_time: 0.0501 memory: 6760 loss_prob: 2.8457 loss_thr: 0.8210 loss_db: 0.4008 loss: 4.0675 2022/08/25 22:26:56 - mmengine - INFO - Epoch(train) [19][55/63] lr: 6.9054e-03 eta: 10:02:48 time: 0.4175 data_time: 0.0489 memory: 6760 loss_prob: 2.8460 loss_thr: 0.8012 loss_db: 0.3828 loss: 4.0301 2022/08/25 22:26:58 - mmengine - INFO - Epoch(train) [19][60/63] lr: 6.9054e-03 eta: 10:01:38 time: 0.3824 data_time: 0.0240 memory: 6760 loss_prob: 2.8458 loss_thr: 0.8188 loss_db: 0.3586 loss: 4.0231 2022/08/25 22:26:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:27:03 - mmengine - INFO - Epoch(train) [20][5/63] lr: 6.9001e-03 eta: 10:01:38 time: 0.5846 data_time: 0.2230 memory: 6760 loss_prob: 2.8442 loss_thr: 0.8873 loss_db: 0.3696 loss: 4.1011 2022/08/25 22:27:05 - mmengine - INFO - Epoch(train) [20][10/63] lr: 6.9001e-03 eta: 10:01:15 time: 0.6032 data_time: 0.2339 memory: 6760 loss_prob: 2.8446 loss_thr: 0.8534 loss_db: 0.3677 loss: 4.0657 2022/08/25 22:27:07 - mmengine - INFO - Epoch(train) [20][15/63] lr: 6.9001e-03 eta: 10:01:15 time: 0.3748 data_time: 0.0218 memory: 6760 loss_prob: 2.8467 loss_thr: 0.8386 loss_db: 0.3842 loss: 4.0695 2022/08/25 22:27:08 - mmengine - INFO - Epoch(train) [20][20/63] lr: 6.9001e-03 eta: 9:59:59 time: 0.3687 data_time: 0.0186 memory: 6760 loss_prob: 2.8469 loss_thr: 0.8582 loss_db: 0.4185 loss: 4.1237 2022/08/25 22:27:10 - mmengine - INFO - Epoch(train) [20][25/63] lr: 6.9001e-03 eta: 9:59:59 time: 0.3665 data_time: 0.0212 memory: 6760 loss_prob: 2.8447 loss_thr: 0.8595 loss_db: 0.4177 loss: 4.1219 2022/08/25 22:27:12 - mmengine - INFO - Epoch(train) [20][30/63] lr: 6.9001e-03 eta: 9:58:49 time: 0.3770 data_time: 0.0172 memory: 6760 loss_prob: 2.8436 loss_thr: 0.8332 loss_db: 0.3970 loss: 4.0738 2022/08/25 22:27:17 - mmengine - INFO - Epoch(train) [20][35/63] lr: 6.9001e-03 eta: 9:58:49 time: 0.6609 data_time: 0.0283 memory: 6760 loss_prob: 2.8444 loss_thr: 0.8498 loss_db: 0.3941 loss: 4.0883 2022/08/25 22:27:19 - mmengine - INFO - Epoch(train) [20][40/63] lr: 6.9001e-03 eta: 10:00:25 time: 0.6496 data_time: 0.0296 memory: 6760 loss_prob: 2.8457 loss_thr: 0.8293 loss_db: 0.3550 loss: 4.0300 2022/08/25 22:27:21 - mmengine - INFO - Epoch(train) [20][45/63] lr: 6.9001e-03 eta: 10:00:25 time: 0.3742 data_time: 0.0219 memory: 6760 loss_prob: 2.8461 loss_thr: 0.8100 loss_db: 0.3640 loss: 4.0201 2022/08/25 22:27:22 - mmengine - INFO - Epoch(train) [20][50/63] lr: 6.9001e-03 eta: 9:59:13 time: 0.3726 data_time: 0.0202 memory: 6760 loss_prob: 2.8501 loss_thr: 0.8435 loss_db: 0.3980 loss: 4.0916 2022/08/25 22:27:24 - mmengine - INFO - Epoch(train) [20][55/63] lr: 6.9001e-03 eta: 9:59:13 time: 0.3717 data_time: 0.0182 memory: 6760 loss_prob: 2.8507 loss_thr: 0.8490 loss_db: 0.3833 loss: 4.0831 2022/08/25 22:27:27 - mmengine - INFO - Epoch(train) [20][60/63] lr: 6.9001e-03 eta: 9:58:49 time: 0.4506 data_time: 0.0199 memory: 6760 loss_prob: 2.8454 loss_thr: 0.8536 loss_db: 0.3746 loss: 4.0736 2022/08/25 22:27:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:27:28 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/25 22:28:23 - mmengine - INFO - Epoch(val) [20][5/500] eta: 9:58:49 time: 10.4489 data_time: 9.9004 memory: 16879 2022/08/25 22:28:24 - mmengine - INFO - Epoch(val) [20][10/500] eta: 0:43:23 time: 5.3131 data_time: 4.9531 memory: 425 2022/08/25 22:28:24 - mmengine - INFO - Epoch(val) [20][15/500] eta: 0:43:23 time: 0.1649 data_time: 0.0038 memory: 425 2022/08/25 22:28:25 - mmengine - INFO - Epoch(val) [20][20/500] eta: 0:01:13 time: 0.1534 data_time: 0.0019 memory: 425 2022/08/25 22:28:26 - mmengine - INFO - Epoch(val) [20][25/500] eta: 0:01:13 time: 0.1709 data_time: 0.0018 memory: 425 2022/08/25 22:28:27 - mmengine - INFO - Epoch(val) [20][30/500] eta: 0:01:28 time: 0.1885 data_time: 0.0019 memory: 425 2022/08/25 22:28:28 - mmengine - INFO - Epoch(val) [20][35/500] eta: 0:01:28 time: 0.1905 data_time: 0.0022 memory: 425 2022/08/25 22:28:29 - mmengine - INFO - Epoch(val) [20][40/500] eta: 0:01:36 time: 0.2094 data_time: 0.0021 memory: 425 2022/08/25 22:28:30 - mmengine - INFO - Epoch(val) [20][45/500] eta: 0:01:36 time: 0.2098 data_time: 0.0020 memory: 425 2022/08/25 22:28:31 - mmengine - INFO - Epoch(val) [20][50/500] eta: 0:01:18 time: 0.1745 data_time: 0.0021 memory: 425 2022/08/25 22:28:32 - mmengine - INFO - Epoch(val) [20][55/500] eta: 0:01:18 time: 0.1671 data_time: 0.0021 memory: 425 2022/08/25 22:28:32 - mmengine - INFO - Epoch(val) [20][60/500] eta: 0:01:11 time: 0.1622 data_time: 0.0021 memory: 425 2022/08/25 22:28:34 - mmengine - INFO - Epoch(val) [20][65/500] eta: 0:01:11 time: 0.2315 data_time: 0.0097 memory: 425 2022/08/25 22:28:35 - mmengine - INFO - Epoch(val) [20][70/500] eta: 0:01:45 time: 0.2455 data_time: 0.0115 memory: 425 2022/08/25 22:28:36 - mmengine - INFO - Epoch(val) [20][75/500] eta: 0:01:45 time: 0.1733 data_time: 0.0041 memory: 425 2022/08/25 22:28:37 - mmengine - INFO - Epoch(val) [20][80/500] eta: 0:01:20 time: 0.1919 data_time: 0.0025 memory: 425 2022/08/25 22:28:38 - mmengine - INFO - Epoch(val) [20][85/500] eta: 0:01:20 time: 0.1832 data_time: 0.0021 memory: 425 2022/08/25 22:28:39 - mmengine - INFO - Epoch(val) [20][90/500] eta: 0:01:23 time: 0.2033 data_time: 0.0019 memory: 425 2022/08/25 22:28:40 - mmengine - INFO - Epoch(val) [20][95/500] eta: 0:01:23 time: 0.2080 data_time: 0.0018 memory: 425 2022/08/25 22:28:40 - mmengine - INFO - Epoch(val) [20][100/500] eta: 0:01:00 time: 0.1502 data_time: 0.0018 memory: 425 2022/08/25 22:28:41 - mmengine - INFO - Epoch(val) [20][105/500] eta: 0:01:00 time: 0.1573 data_time: 0.0019 memory: 425 2022/08/25 22:28:42 - mmengine - INFO - Epoch(val) [20][110/500] eta: 0:01:07 time: 0.1719 data_time: 0.0018 memory: 425 2022/08/25 22:28:44 - mmengine - INFO - Epoch(val) [20][115/500] eta: 0:01:07 time: 0.2424 data_time: 0.0098 memory: 425 2022/08/25 22:28:45 - mmengine - INFO - Epoch(val) [20][120/500] eta: 0:01:38 time: 0.2593 data_time: 0.0106 memory: 425 2022/08/25 22:28:46 - mmengine - INFO - Epoch(val) [20][125/500] eta: 0:01:38 time: 0.1907 data_time: 0.0028 memory: 425 2022/08/25 22:28:46 - mmengine - INFO - Epoch(val) [20][130/500] eta: 0:01:04 time: 0.1740 data_time: 0.0021 memory: 425 2022/08/25 22:28:47 - mmengine - INFO - Epoch(val) [20][135/500] eta: 0:01:04 time: 0.1660 data_time: 0.0019 memory: 425 2022/08/25 22:28:48 - mmengine - INFO - Epoch(val) [20][140/500] eta: 0:01:04 time: 0.1792 data_time: 0.0018 memory: 425 2022/08/25 22:28:49 - mmengine - INFO - Epoch(val) [20][145/500] eta: 0:01:04 time: 0.1903 data_time: 0.0018 memory: 425 2022/08/25 22:28:50 - mmengine - INFO - Epoch(val) [20][150/500] eta: 0:01:04 time: 0.1841 data_time: 0.0019 memory: 425 2022/08/25 22:28:51 - mmengine - INFO - Epoch(val) [20][155/500] eta: 0:01:04 time: 0.1996 data_time: 0.0019 memory: 425 2022/08/25 22:28:52 - mmengine - INFO - Epoch(val) [20][160/500] eta: 0:01:09 time: 0.2040 data_time: 0.0020 memory: 425 2022/08/25 22:28:54 - mmengine - INFO - Epoch(val) [20][165/500] eta: 0:01:09 time: 0.2671 data_time: 0.0177 memory: 425 2022/08/25 22:28:55 - mmengine - INFO - Epoch(val) [20][170/500] eta: 0:01:34 time: 0.2851 data_time: 0.0193 memory: 425 2022/08/25 22:28:56 - mmengine - INFO - Epoch(val) [20][175/500] eta: 0:01:34 time: 0.2000 data_time: 0.0036 memory: 425 2022/08/25 22:28:57 - mmengine - INFO - Epoch(val) [20][180/500] eta: 0:00:52 time: 0.1653 data_time: 0.0020 memory: 425 2022/08/25 22:28:58 - mmengine - INFO - Epoch(val) [20][185/500] eta: 0:00:52 time: 0.1759 data_time: 0.0018 memory: 425 2022/08/25 22:28:59 - mmengine - INFO - Epoch(val) [20][190/500] eta: 0:00:59 time: 0.1922 data_time: 0.0019 memory: 425 2022/08/25 22:28:59 - mmengine - INFO - Epoch(val) [20][195/500] eta: 0:00:59 time: 0.1804 data_time: 0.0019 memory: 425 2022/08/25 22:29:00 - mmengine - INFO - Epoch(val) [20][200/500] eta: 0:00:55 time: 0.1834 data_time: 0.0019 memory: 425 2022/08/25 22:29:01 - mmengine - INFO - Epoch(val) [20][205/500] eta: 0:00:55 time: 0.1829 data_time: 0.0019 memory: 425 2022/08/25 22:29:02 - mmengine - INFO - Epoch(val) [20][210/500] eta: 0:00:48 time: 0.1659 data_time: 0.0019 memory: 425 2022/08/25 22:29:03 - mmengine - INFO - Epoch(val) [20][215/500] eta: 0:00:48 time: 0.1999 data_time: 0.0055 memory: 425 2022/08/25 22:29:04 - mmengine - INFO - Epoch(val) [20][220/500] eta: 0:01:01 time: 0.2184 data_time: 0.0059 memory: 425 2022/08/25 22:29:05 - mmengine - INFO - Epoch(val) [20][225/500] eta: 0:01:01 time: 0.2125 data_time: 0.0023 memory: 425 2022/08/25 22:29:06 - mmengine - INFO - Epoch(val) [20][230/500] eta: 0:00:51 time: 0.1893 data_time: 0.0019 memory: 425 2022/08/25 22:29:07 - mmengine - INFO - Epoch(val) [20][235/500] eta: 0:00:51 time: 0.1592 data_time: 0.0018 memory: 425 2022/08/25 22:29:08 - mmengine - INFO - Epoch(val) [20][240/500] eta: 0:00:43 time: 0.1672 data_time: 0.0018 memory: 425 2022/08/25 22:29:09 - mmengine - INFO - Epoch(val) [20][245/500] eta: 0:00:43 time: 0.1723 data_time: 0.0019 memory: 425 2022/08/25 22:29:10 - mmengine - INFO - Epoch(val) [20][250/500] eta: 0:00:45 time: 0.1836 data_time: 0.0020 memory: 425 2022/08/25 22:29:10 - mmengine - INFO - Epoch(val) [20][255/500] eta: 0:00:45 time: 0.1705 data_time: 0.0022 memory: 425 2022/08/25 22:29:11 - mmengine - INFO - Epoch(val) [20][260/500] eta: 0:00:39 time: 0.1651 data_time: 0.0022 memory: 425 2022/08/25 22:29:12 - mmengine - INFO - Epoch(val) [20][265/500] eta: 0:00:39 time: 0.1685 data_time: 0.0019 memory: 425 2022/08/25 22:29:15 - mmengine - INFO - Epoch(val) [20][270/500] eta: 0:01:17 time: 0.3367 data_time: 0.0358 memory: 425 2022/08/25 22:29:16 - mmengine - INFO - Epoch(val) [20][275/500] eta: 0:01:17 time: 0.3459 data_time: 0.0380 memory: 425 2022/08/25 22:29:16 - mmengine - INFO - Epoch(val) [20][280/500] eta: 0:00:40 time: 0.1862 data_time: 0.0040 memory: 425 2022/08/25 22:29:17 - mmengine - INFO - Epoch(val) [20][285/500] eta: 0:00:40 time: 0.1771 data_time: 0.0018 memory: 425 2022/08/25 22:29:18 - mmengine - INFO - Epoch(val) [20][290/500] eta: 0:00:36 time: 0.1741 data_time: 0.0019 memory: 425 2022/08/25 22:29:19 - mmengine - INFO - Epoch(val) [20][295/500] eta: 0:00:36 time: 0.1819 data_time: 0.0020 memory: 425 2022/08/25 22:29:20 - mmengine - INFO - Epoch(val) [20][300/500] eta: 0:00:32 time: 0.1634 data_time: 0.0020 memory: 425 2022/08/25 22:29:21 - mmengine - INFO - Epoch(val) [20][305/500] eta: 0:00:32 time: 0.1607 data_time: 0.0019 memory: 425 2022/08/25 22:29:22 - mmengine - INFO - Epoch(val) [20][310/500] eta: 0:00:33 time: 0.1767 data_time: 0.0019 memory: 425 2022/08/25 22:29:23 - mmengine - INFO - Epoch(val) [20][315/500] eta: 0:00:33 time: 0.2093 data_time: 0.0023 memory: 425 2022/08/25 22:29:24 - mmengine - INFO - Epoch(val) [20][320/500] eta: 0:00:39 time: 0.2200 data_time: 0.0053 memory: 425 2022/08/25 22:29:25 - mmengine - INFO - Epoch(val) [20][325/500] eta: 0:00:39 time: 0.2234 data_time: 0.0054 memory: 425 2022/08/25 22:29:26 - mmengine - INFO - Epoch(val) [20][330/500] eta: 0:00:36 time: 0.2156 data_time: 0.0030 memory: 425 2022/08/25 22:29:27 - mmengine - INFO - Epoch(val) [20][335/500] eta: 0:00:36 time: 0.1779 data_time: 0.0024 memory: 425 2022/08/25 22:29:28 - mmengine - INFO - Epoch(val) [20][340/500] eta: 0:00:33 time: 0.2099 data_time: 0.0019 memory: 425 2022/08/25 22:29:29 - mmengine - INFO - Epoch(val) [20][345/500] eta: 0:00:33 time: 0.2117 data_time: 0.0019 memory: 425 2022/08/25 22:29:30 - mmengine - INFO - Epoch(val) [20][350/500] eta: 0:00:34 time: 0.2314 data_time: 0.0019 memory: 425 2022/08/25 22:29:31 - mmengine - INFO - Epoch(val) [20][355/500] eta: 0:00:34 time: 0.2371 data_time: 0.0020 memory: 425 2022/08/25 22:29:32 - mmengine - INFO - Epoch(val) [20][360/500] eta: 0:00:25 time: 0.1838 data_time: 0.0018 memory: 425 2022/08/25 22:29:35 - mmengine - INFO - Epoch(val) [20][365/500] eta: 0:00:25 time: 0.3315 data_time: 0.0178 memory: 425 2022/08/25 22:29:36 - mmengine - INFO - Epoch(val) [20][370/500] eta: 0:00:42 time: 0.3257 data_time: 0.0320 memory: 425 2022/08/25 22:29:36 - mmengine - INFO - Epoch(val) [20][375/500] eta: 0:00:42 time: 0.1745 data_time: 0.0160 memory: 425 2022/08/25 22:29:37 - mmengine - INFO - Epoch(val) [20][380/500] eta: 0:00:22 time: 0.1863 data_time: 0.0020 memory: 425 2022/08/25 22:29:38 - mmengine - INFO - Epoch(val) [20][385/500] eta: 0:00:22 time: 0.1928 data_time: 0.0022 memory: 425 2022/08/25 22:29:39 - mmengine - INFO - Epoch(val) [20][390/500] eta: 0:00:19 time: 0.1787 data_time: 0.0021 memory: 425 2022/08/25 22:29:40 - mmengine - INFO - Epoch(val) [20][395/500] eta: 0:00:19 time: 0.1619 data_time: 0.0017 memory: 425 2022/08/25 22:29:41 - mmengine - INFO - Epoch(val) [20][400/500] eta: 0:00:16 time: 0.1629 data_time: 0.0018 memory: 425 2022/08/25 22:29:42 - mmengine - INFO - Epoch(val) [20][405/500] eta: 0:00:16 time: 0.1811 data_time: 0.0019 memory: 425 2022/08/25 22:29:43 - mmengine - INFO - Epoch(val) [20][410/500] eta: 0:00:18 time: 0.2034 data_time: 0.0018 memory: 425 2022/08/25 22:29:44 - mmengine - INFO - Epoch(val) [20][415/500] eta: 0:00:18 time: 0.1917 data_time: 0.0037 memory: 425 2022/08/25 22:29:45 - mmengine - INFO - Epoch(val) [20][420/500] eta: 0:00:14 time: 0.1757 data_time: 0.0037 memory: 425 2022/08/25 22:29:45 - mmengine - INFO - Epoch(val) [20][425/500] eta: 0:00:14 time: 0.1831 data_time: 0.0018 memory: 425 2022/08/25 22:29:46 - mmengine - INFO - Epoch(val) [20][430/500] eta: 0:00:12 time: 0.1791 data_time: 0.0018 memory: 425 2022/08/25 22:29:47 - mmengine - INFO - Epoch(val) [20][435/500] eta: 0:00:12 time: 0.1679 data_time: 0.0018 memory: 425 2022/08/25 22:29:48 - mmengine - INFO - Epoch(val) [20][440/500] eta: 0:00:09 time: 0.1609 data_time: 0.0018 memory: 425 2022/08/25 22:29:49 - mmengine - INFO - Epoch(val) [20][445/500] eta: 0:00:09 time: 0.1699 data_time: 0.0018 memory: 425 2022/08/25 22:29:50 - mmengine - INFO - Epoch(val) [20][450/500] eta: 0:00:08 time: 0.1656 data_time: 0.0018 memory: 425 2022/08/25 22:29:51 - mmengine - INFO - Epoch(val) [20][455/500] eta: 0:00:08 time: 0.1700 data_time: 0.0017 memory: 425 2022/08/25 22:29:51 - mmengine - INFO - Epoch(val) [20][460/500] eta: 0:00:07 time: 0.1772 data_time: 0.0020 memory: 425 2022/08/25 22:29:52 - mmengine - INFO - Epoch(val) [20][465/500] eta: 0:00:07 time: 0.1624 data_time: 0.0021 memory: 425 2022/08/25 22:29:55 - mmengine - INFO - Epoch(val) [20][470/500] eta: 0:00:10 time: 0.3446 data_time: 0.0201 memory: 425 2022/08/25 22:29:56 - mmengine - INFO - Epoch(val) [20][475/500] eta: 0:00:10 time: 0.3470 data_time: 0.0214 memory: 425 2022/08/25 22:29:56 - mmengine - INFO - Epoch(val) [20][480/500] eta: 0:00:03 time: 0.1577 data_time: 0.0031 memory: 425 2022/08/25 22:29:57 - mmengine - INFO - Epoch(val) [20][485/500] eta: 0:00:03 time: 0.1617 data_time: 0.0018 memory: 425 2022/08/25 22:29:58 - mmengine - INFO - Epoch(val) [20][490/500] eta: 0:00:01 time: 0.1824 data_time: 0.0018 memory: 425 2022/08/25 22:29:59 - mmengine - INFO - Epoch(val) [20][495/500] eta: 0:00:01 time: 0.2023 data_time: 0.0019 memory: 425 2022/08/25 22:30:00 - mmengine - INFO - Epoch(val) [20][500/500] eta: 0:00:00 time: 0.1819 data_time: 0.0019 memory: 425 2022/08/25 22:30:00 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 22:30:00 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0014, precision: 0.0000, hmean: 0.0001 2022/08/25 22:30:00 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:30:00 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:30:00 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:30:00 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:30:00 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:30:00 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:30:00 - mmengine - INFO - Epoch(val) [20][500/500] icdar/precision: 0.0000 icdar/recall: 0.0014 icdar/hmean: 0.0001 2022/08/25 22:30:04 - mmengine - INFO - Epoch(train) [21][5/63] lr: 6.8948e-03 eta: 0:00:00 time: 0.6370 data_time: 0.1758 memory: 6760 loss_prob: 2.8443 loss_thr: 0.8327 loss_db: 0.3729 loss: 4.0499 2022/08/25 22:30:06 - mmengine - INFO - Epoch(train) [21][10/63] lr: 6.8948e-03 eta: 9:58:11 time: 0.5745 data_time: 0.1783 memory: 6760 loss_prob: 2.8446 loss_thr: 0.8407 loss_db: 0.3786 loss: 4.0639 2022/08/25 22:30:08 - mmengine - INFO - Epoch(train) [21][15/63] lr: 6.8948e-03 eta: 9:58:11 time: 0.3644 data_time: 0.0179 memory: 6760 loss_prob: 2.8425 loss_thr: 0.8357 loss_db: 0.3953 loss: 4.0735 2022/08/25 22:30:10 - mmengine - INFO - Epoch(train) [21][20/63] lr: 6.8948e-03 eta: 9:56:56 time: 0.3630 data_time: 0.0126 memory: 6760 loss_prob: 2.8397 loss_thr: 0.8516 loss_db: 0.3877 loss: 4.0789 2022/08/25 22:30:11 - mmengine - INFO - Epoch(train) [21][25/63] lr: 6.8948e-03 eta: 9:56:56 time: 0.3616 data_time: 0.0169 memory: 6760 loss_prob: 2.8423 loss_thr: 0.8510 loss_db: 0.3785 loss: 4.0718 2022/08/25 22:30:16 - mmengine - INFO - Epoch(train) [21][30/63] lr: 6.8948e-03 eta: 9:58:10 time: 0.6177 data_time: 0.0252 memory: 6760 loss_prob: 2.8445 loss_thr: 0.8238 loss_db: 0.3798 loss: 4.0482 2022/08/25 22:30:18 - mmengine - INFO - Epoch(train) [21][35/63] lr: 6.8948e-03 eta: 9:58:10 time: 0.6311 data_time: 0.0321 memory: 6760 loss_prob: 2.8441 loss_thr: 0.8296 loss_db: 0.3540 loss: 4.0277 2022/08/25 22:30:20 - mmengine - INFO - Epoch(train) [21][40/63] lr: 6.8948e-03 eta: 9:57:03 time: 0.3745 data_time: 0.0231 memory: 6760 loss_prob: 2.8448 loss_thr: 0.8650 loss_db: 0.3449 loss: 4.0547 2022/08/25 22:30:21 - mmengine - INFO - Epoch(train) [21][45/63] lr: 6.8948e-03 eta: 9:57:03 time: 0.3739 data_time: 0.0170 memory: 6760 loss_prob: 2.8451 loss_thr: 0.8591 loss_db: 0.3590 loss: 4.0631 2022/08/25 22:30:24 - mmengine - INFO - Epoch(train) [21][50/63] lr: 6.8948e-03 eta: 9:56:12 time: 0.4012 data_time: 0.0271 memory: 6760 loss_prob: 2.8473 loss_thr: 0.8366 loss_db: 0.3641 loss: 4.0480 2022/08/25 22:30:25 - mmengine - INFO - Epoch(train) [21][55/63] lr: 6.8948e-03 eta: 9:56:12 time: 0.3938 data_time: 0.0238 memory: 6760 loss_prob: 2.8522 loss_thr: 0.8742 loss_db: 0.4000 loss: 4.1263 2022/08/25 22:30:27 - mmengine - INFO - Epoch(train) [21][60/63] lr: 6.8948e-03 eta: 9:55:00 time: 0.3621 data_time: 0.0155 memory: 6760 loss_prob: 2.8540 loss_thr: 0.8805 loss_db: 0.4339 loss: 4.1684 2022/08/25 22:30:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:30:31 - mmengine - INFO - Epoch(train) [22][5/63] lr: 6.8896e-03 eta: 9:55:00 time: 0.4816 data_time: 0.1382 memory: 6760 loss_prob: 2.8497 loss_thr: 0.8287 loss_db: 0.3670 loss: 4.0455 2022/08/25 22:30:34 - mmengine - INFO - Epoch(train) [22][10/63] lr: 6.8896e-03 eta: 9:54:23 time: 0.5691 data_time: 0.1661 memory: 6760 loss_prob: 2.8486 loss_thr: 0.8609 loss_db: 0.3848 loss: 4.0943 2022/08/25 22:30:36 - mmengine - INFO - Epoch(train) [22][15/63] lr: 6.8896e-03 eta: 9:54:23 time: 0.4505 data_time: 0.0452 memory: 6760 loss_prob: 2.8503 loss_thr: 0.8683 loss_db: 0.4106 loss: 4.1292 2022/08/25 22:30:38 - mmengine - INFO - Epoch(train) [22][20/63] lr: 6.8896e-03 eta: 9:53:19 time: 0.3739 data_time: 0.0208 memory: 6760 loss_prob: 2.8508 loss_thr: 0.8646 loss_db: 0.4200 loss: 4.1354 2022/08/25 22:30:40 - mmengine - INFO - Epoch(train) [22][25/63] lr: 6.8896e-03 eta: 9:53:19 time: 0.4413 data_time: 0.0667 memory: 6760 loss_prob: 2.8461 loss_thr: 0.8599 loss_db: 0.4246 loss: 4.1307 2022/08/25 22:30:42 - mmengine - INFO - Epoch(train) [22][30/63] lr: 6.8896e-03 eta: 9:52:54 time: 0.4421 data_time: 0.0653 memory: 6760 loss_prob: 2.8431 loss_thr: 0.8731 loss_db: 0.3837 loss: 4.0999 2022/08/25 22:30:44 - mmengine - INFO - Epoch(train) [22][35/63] lr: 6.8896e-03 eta: 9:52:54 time: 0.3839 data_time: 0.0282 memory: 6760 loss_prob: 2.8417 loss_thr: 0.8537 loss_db: 0.3435 loss: 4.0388 2022/08/25 22:30:46 - mmengine - INFO - Epoch(train) [22][40/63] lr: 6.8896e-03 eta: 9:52:06 time: 0.3987 data_time: 0.0359 memory: 6760 loss_prob: 2.8432 loss_thr: 0.8385 loss_db: 0.3697 loss: 4.0513 2022/08/25 22:30:48 - mmengine - INFO - Epoch(train) [22][45/63] lr: 6.8896e-03 eta: 9:52:06 time: 0.3916 data_time: 0.0258 memory: 6760 loss_prob: 2.8469 loss_thr: 0.8448 loss_db: 0.3665 loss: 4.0582 2022/08/25 22:30:50 - mmengine - INFO - Epoch(train) [22][50/63] lr: 6.8896e-03 eta: 9:51:12 time: 0.3875 data_time: 0.0215 memory: 6760 loss_prob: 2.8468 loss_thr: 0.8022 loss_db: 0.3419 loss: 3.9909 2022/08/25 22:30:52 - mmengine - INFO - Epoch(train) [22][55/63] lr: 6.8896e-03 eta: 9:51:12 time: 0.3782 data_time: 0.0177 memory: 6760 loss_prob: 2.8459 loss_thr: 0.8025 loss_db: 0.3542 loss: 4.0026 2022/08/25 22:30:54 - mmengine - INFO - Epoch(train) [22][60/63] lr: 6.8896e-03 eta: 9:50:42 time: 0.4311 data_time: 0.0157 memory: 6760 loss_prob: 2.8480 loss_thr: 0.8301 loss_db: 0.3486 loss: 4.0266 2022/08/25 22:30:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:30:59 - mmengine - INFO - Epoch(train) [23][5/63] lr: 6.8843e-03 eta: 9:50:42 time: 0.5736 data_time: 0.1776 memory: 6760 loss_prob: 2.8484 loss_thr: 0.8508 loss_db: 0.3728 loss: 4.0721 2022/08/25 22:31:01 - mmengine - INFO - Epoch(train) [23][10/63] lr: 6.8843e-03 eta: 9:49:37 time: 0.5112 data_time: 0.1641 memory: 6760 loss_prob: 2.8472 loss_thr: 0.8363 loss_db: 0.3780 loss: 4.0615 2022/08/25 22:31:03 - mmengine - INFO - Epoch(train) [23][15/63] lr: 6.8843e-03 eta: 9:49:37 time: 0.3675 data_time: 0.0177 memory: 6760 loss_prob: 2.8478 loss_thr: 0.8276 loss_db: 0.3739 loss: 4.0493 2022/08/25 22:31:05 - mmengine - INFO - Epoch(train) [23][20/63] lr: 6.8843e-03 eta: 9:48:36 time: 0.3695 data_time: 0.0182 memory: 6760 loss_prob: 2.8490 loss_thr: 0.8183 loss_db: 0.3567 loss: 4.0240 2022/08/25 22:31:07 - mmengine - INFO - Epoch(train) [23][25/63] lr: 6.8843e-03 eta: 9:48:36 time: 0.3703 data_time: 0.0233 memory: 6760 loss_prob: 2.8481 loss_thr: 0.8295 loss_db: 0.3441 loss: 4.0218 2022/08/25 22:31:09 - mmengine - INFO - Epoch(train) [23][30/63] lr: 6.8843e-03 eta: 9:48:02 time: 0.4207 data_time: 0.0204 memory: 6760 loss_prob: 2.8457 loss_thr: 0.8288 loss_db: 0.3674 loss: 4.0420 2022/08/25 22:31:11 - mmengine - INFO - Epoch(train) [23][35/63] lr: 6.8843e-03 eta: 9:48:02 time: 0.4148 data_time: 0.0191 memory: 6760 loss_prob: 2.8456 loss_thr: 0.8231 loss_db: 0.3927 loss: 4.0615 2022/08/25 22:31:13 - mmengine - INFO - Epoch(train) [23][40/63] lr: 6.8843e-03 eta: 9:46:59 time: 0.3632 data_time: 0.0187 memory: 6760 loss_prob: 2.8456 loss_thr: 0.8507 loss_db: 0.4040 loss: 4.1003 2022/08/25 22:31:15 - mmengine - INFO - Epoch(train) [23][45/63] lr: 6.8843e-03 eta: 9:46:59 time: 0.4260 data_time: 0.0344 memory: 6760 loss_prob: 2.8512 loss_thr: 0.8674 loss_db: 0.4134 loss: 4.1320 2022/08/25 22:31:17 - mmengine - INFO - Epoch(train) [23][50/63] lr: 6.8843e-03 eta: 9:46:34 time: 0.4362 data_time: 0.0426 memory: 6760 loss_prob: 2.8520 loss_thr: 0.8581 loss_db: 0.3999 loss: 4.1101 2022/08/25 22:31:19 - mmengine - INFO - Epoch(train) [23][55/63] lr: 6.8843e-03 eta: 9:46:34 time: 0.3746 data_time: 0.0232 memory: 6760 loss_prob: 2.8468 loss_thr: 0.8445 loss_db: 0.3800 loss: 4.0713 2022/08/25 22:31:21 - mmengine - INFO - Epoch(train) [23][60/63] lr: 6.8843e-03 eta: 9:45:34 time: 0.3671 data_time: 0.0166 memory: 6760 loss_prob: 2.8480 loss_thr: 0.8348 loss_db: 0.3880 loss: 4.0708 2022/08/25 22:31:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:31:25 - mmengine - INFO - Epoch(train) [24][5/63] lr: 6.8790e-03 eta: 9:45:34 time: 0.5020 data_time: 0.1480 memory: 6760 loss_prob: 2.8470 loss_thr: 0.8359 loss_db: 0.3646 loss: 4.0475 2022/08/25 22:31:27 - mmengine - INFO - Epoch(train) [24][10/63] lr: 6.8790e-03 eta: 9:44:41 time: 0.5230 data_time: 0.1527 memory: 6760 loss_prob: 2.8522 loss_thr: 0.8488 loss_db: 0.3635 loss: 4.0645 2022/08/25 22:31:29 - mmengine - INFO - Epoch(train) [24][15/63] lr: 6.8790e-03 eta: 9:44:41 time: 0.3695 data_time: 0.0226 memory: 6760 loss_prob: 2.8535 loss_thr: 0.8722 loss_db: 0.3755 loss: 4.1012 2022/08/25 22:31:31 - mmengine - INFO - Epoch(train) [24][20/63] lr: 6.8790e-03 eta: 9:43:51 time: 0.3843 data_time: 0.0278 memory: 6760 loss_prob: 2.8471 loss_thr: 0.8371 loss_db: 0.3867 loss: 4.0709 2022/08/25 22:31:32 - mmengine - INFO - Epoch(train) [24][25/63] lr: 6.8790e-03 eta: 9:43:51 time: 0.3818 data_time: 0.0231 memory: 6760 loss_prob: 2.8493 loss_thr: 0.8138 loss_db: 0.3520 loss: 4.0150 2022/08/25 22:31:37 - mmengine - INFO - Epoch(train) [24][30/63] lr: 6.8790e-03 eta: 9:44:49 time: 0.5962 data_time: 0.0250 memory: 6760 loss_prob: 2.8508 loss_thr: 0.8043 loss_db: 0.3391 loss: 3.9942 2022/08/25 22:31:38 - mmengine - INFO - Epoch(train) [24][35/63] lr: 6.8790e-03 eta: 9:44:49 time: 0.5908 data_time: 0.0245 memory: 6760 loss_prob: 2.8525 loss_thr: 0.8088 loss_db: 0.3601 loss: 4.0215 2022/08/25 22:31:40 - mmengine - INFO - Epoch(train) [24][40/63] lr: 6.8790e-03 eta: 9:43:56 time: 0.3769 data_time: 0.0212 memory: 6760 loss_prob: 2.8533 loss_thr: 0.8361 loss_db: 0.3732 loss: 4.0626 2022/08/25 22:31:42 - mmengine - INFO - Epoch(train) [24][45/63] lr: 6.8790e-03 eta: 9:43:56 time: 0.3835 data_time: 0.0254 memory: 6760 loss_prob: 2.8571 loss_thr: 0.8578 loss_db: 0.4493 loss: 4.1642 2022/08/25 22:31:44 - mmengine - INFO - Epoch(train) [24][50/63] lr: 6.8790e-03 eta: 9:43:13 time: 0.3965 data_time: 0.0286 memory: 6760 loss_prob: 2.8550 loss_thr: 0.8668 loss_db: 0.4538 loss: 4.1756 2022/08/25 22:31:46 - mmengine - INFO - Epoch(train) [24][55/63] lr: 6.8790e-03 eta: 9:43:13 time: 0.4037 data_time: 0.0290 memory: 6760 loss_prob: 2.8463 loss_thr: 0.8551 loss_db: 0.3772 loss: 4.0786 2022/08/25 22:31:48 - mmengine - INFO - Epoch(train) [24][60/63] lr: 6.8790e-03 eta: 9:42:26 time: 0.3851 data_time: 0.0207 memory: 6760 loss_prob: 2.8447 loss_thr: 0.8552 loss_db: 0.3677 loss: 4.0675 2022/08/25 22:31:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:31:53 - mmengine - INFO - Epoch(train) [25][5/63] lr: 6.8738e-03 eta: 9:42:26 time: 0.5278 data_time: 0.1564 memory: 6760 loss_prob: 2.8433 loss_thr: 0.8412 loss_db: 0.3800 loss: 4.0645 2022/08/25 22:31:55 - mmengine - INFO - Epoch(train) [25][10/63] lr: 6.8738e-03 eta: 9:42:06 time: 0.5851 data_time: 0.1693 memory: 6760 loss_prob: 2.8452 loss_thr: 0.8409 loss_db: 0.3619 loss: 4.0480 2022/08/25 22:31:57 - mmengine - INFO - Epoch(train) [25][15/63] lr: 6.8738e-03 eta: 9:42:06 time: 0.4171 data_time: 0.0246 memory: 6760 loss_prob: 2.8485 loss_thr: 0.8410 loss_db: 0.3335 loss: 4.0230 2022/08/25 22:31:59 - mmengine - INFO - Epoch(train) [25][20/63] lr: 6.8738e-03 eta: 9:41:09 time: 0.3634 data_time: 0.0150 memory: 6760 loss_prob: 2.8481 loss_thr: 0.8308 loss_db: 0.3306 loss: 4.0095 2022/08/25 22:32:00 - mmengine - INFO - Epoch(train) [25][25/63] lr: 6.8738e-03 eta: 9:41:09 time: 0.3631 data_time: 0.0181 memory: 6760 loss_prob: 2.8463 loss_thr: 0.8325 loss_db: 0.3541 loss: 4.0328 2022/08/25 22:32:02 - mmengine - INFO - Epoch(train) [25][30/63] lr: 6.8738e-03 eta: 9:40:14 time: 0.3667 data_time: 0.0178 memory: 6760 loss_prob: 2.8472 loss_thr: 0.8492 loss_db: 0.3886 loss: 4.0850 2022/08/25 22:32:06 - mmengine - INFO - Epoch(train) [25][35/63] lr: 6.8738e-03 eta: 9:40:14 time: 0.5419 data_time: 0.0311 memory: 6760 loss_prob: 2.8493 loss_thr: 0.8602 loss_db: 0.4264 loss: 4.1359 2022/08/25 22:32:08 - mmengine - INFO - Epoch(train) [25][40/63] lr: 6.8738e-03 eta: 9:40:48 time: 0.5506 data_time: 0.0330 memory: 6760 loss_prob: 2.8510 loss_thr: 0.8601 loss_db: 0.4050 loss: 4.1162 2022/08/25 22:32:10 - mmengine - INFO - Epoch(train) [25][45/63] lr: 6.8738e-03 eta: 9:40:48 time: 0.3758 data_time: 0.0229 memory: 6760 loss_prob: 2.8488 loss_thr: 0.8448 loss_db: 0.4197 loss: 4.1132 2022/08/25 22:32:11 - mmengine - INFO - Epoch(train) [25][50/63] lr: 6.8738e-03 eta: 9:39:56 time: 0.3713 data_time: 0.0237 memory: 6760 loss_prob: 2.8447 loss_thr: 0.8299 loss_db: 0.4351 loss: 4.1098 2022/08/25 22:32:14 - mmengine - INFO - Epoch(train) [25][55/63] lr: 6.8738e-03 eta: 9:39:56 time: 0.3896 data_time: 0.0195 memory: 6760 loss_prob: 2.8432 loss_thr: 0.8313 loss_db: 0.3814 loss: 4.0560 2022/08/25 22:32:15 - mmengine - INFO - Epoch(train) [25][60/63] lr: 6.8738e-03 eta: 9:39:15 time: 0.3927 data_time: 0.0210 memory: 6760 loss_prob: 2.8446 loss_thr: 0.8255 loss_db: 0.3582 loss: 4.0283 2022/08/25 22:32:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:32:20 - mmengine - INFO - Epoch(train) [26][5/63] lr: 6.8685e-03 eta: 9:39:15 time: 0.5320 data_time: 0.1690 memory: 6760 loss_prob: 2.8458 loss_thr: 0.8535 loss_db: 0.3538 loss: 4.0531 2022/08/25 22:32:22 - mmengine - INFO - Epoch(train) [26][10/63] lr: 6.8685e-03 eta: 9:38:42 time: 0.5528 data_time: 0.1821 memory: 6760 loss_prob: 2.8465 loss_thr: 0.8606 loss_db: 0.3681 loss: 4.0752 2022/08/25 22:32:24 - mmengine - INFO - Epoch(train) [26][15/63] lr: 6.8685e-03 eta: 9:38:42 time: 0.3901 data_time: 0.0232 memory: 6760 loss_prob: 2.8482 loss_thr: 0.8472 loss_db: 0.3910 loss: 4.0864 2022/08/25 22:32:26 - mmengine - INFO - Epoch(train) [26][20/63] lr: 6.8685e-03 eta: 9:37:58 time: 0.3847 data_time: 0.0153 memory: 6760 loss_prob: 2.8497 loss_thr: 0.8348 loss_db: 0.3972 loss: 4.0817 2022/08/25 22:32:28 - mmengine - INFO - Epoch(train) [26][25/63] lr: 6.8685e-03 eta: 9:37:58 time: 0.3850 data_time: 0.0213 memory: 6760 loss_prob: 2.8498 loss_thr: 0.8012 loss_db: 0.3789 loss: 4.0299 2022/08/25 22:32:30 - mmengine - INFO - Epoch(train) [26][30/63] lr: 6.8685e-03 eta: 9:37:14 time: 0.3821 data_time: 0.0178 memory: 6760 loss_prob: 2.8494 loss_thr: 0.8153 loss_db: 0.3487 loss: 4.0134 2022/08/25 22:32:32 - mmengine - INFO - Epoch(train) [26][35/63] lr: 6.8685e-03 eta: 9:37:14 time: 0.3859 data_time: 0.0157 memory: 6760 loss_prob: 2.8493 loss_thr: 0.8295 loss_db: 0.3660 loss: 4.0448 2022/08/25 22:32:35 - mmengine - INFO - Epoch(train) [26][40/63] lr: 6.8685e-03 eta: 9:37:46 time: 0.5480 data_time: 0.0285 memory: 6760 loss_prob: 2.8498 loss_thr: 0.8213 loss_db: 0.3681 loss: 4.0393 2022/08/25 22:32:37 - mmengine - INFO - Epoch(train) [26][45/63] lr: 6.8685e-03 eta: 9:37:46 time: 0.5284 data_time: 0.0276 memory: 6760 loss_prob: 2.8489 loss_thr: 0.8174 loss_db: 0.3498 loss: 4.0161 2022/08/25 22:32:39 - mmengine - INFO - Epoch(train) [26][50/63] lr: 6.8685e-03 eta: 9:36:50 time: 0.3564 data_time: 0.0199 memory: 6760 loss_prob: 2.8479 loss_thr: 0.8282 loss_db: 0.3500 loss: 4.0261 2022/08/25 22:32:40 - mmengine - INFO - Epoch(train) [26][55/63] lr: 6.8685e-03 eta: 9:36:50 time: 0.3550 data_time: 0.0168 memory: 6760 loss_prob: 2.8480 loss_thr: 0.8261 loss_db: 0.3459 loss: 4.0200 2022/08/25 22:32:42 - mmengine - INFO - Epoch(train) [26][60/63] lr: 6.8685e-03 eta: 9:35:59 time: 0.3660 data_time: 0.0150 memory: 6760 loss_prob: 2.8479 loss_thr: 0.8074 loss_db: 0.3434 loss: 3.9986 2022/08/25 22:32:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:32:47 - mmengine - INFO - Epoch(train) [27][5/63] lr: 6.8632e-03 eta: 9:35:59 time: 0.5653 data_time: 0.1576 memory: 6760 loss_prob: 2.8506 loss_thr: 0.7909 loss_db: 0.3578 loss: 3.9993 2022/08/25 22:32:49 - mmengine - INFO - Epoch(train) [27][10/63] lr: 6.8632e-03 eta: 9:35:23 time: 0.5404 data_time: 0.1546 memory: 6760 loss_prob: 2.8497 loss_thr: 0.7725 loss_db: 0.3498 loss: 3.9721 2022/08/25 22:32:51 - mmengine - INFO - Epoch(train) [27][15/63] lr: 6.8632e-03 eta: 9:35:23 time: 0.3876 data_time: 0.0190 memory: 6760 loss_prob: 2.8486 loss_thr: 0.7838 loss_db: 0.3273 loss: 3.9597 2022/08/25 22:32:54 - mmengine - INFO - Epoch(train) [27][20/63] lr: 6.8632e-03 eta: 9:35:11 time: 0.4511 data_time: 0.0176 memory: 6760 loss_prob: 2.8485 loss_thr: 0.8087 loss_db: 0.3199 loss: 3.9772 2022/08/25 22:32:56 - mmengine - INFO - Epoch(train) [27][25/63] lr: 6.8632e-03 eta: 9:35:11 time: 0.4757 data_time: 0.0293 memory: 6760 loss_prob: 2.8495 loss_thr: 0.8202 loss_db: 0.3361 loss: 4.0057 2022/08/25 22:32:58 - mmengine - INFO - Epoch(train) [27][30/63] lr: 6.8632e-03 eta: 9:35:01 time: 0.4538 data_time: 0.0278 memory: 6760 loss_prob: 2.8511 loss_thr: 0.8105 loss_db: 0.3481 loss: 4.0098 2022/08/25 22:33:00 - mmengine - INFO - Epoch(train) [27][35/63] lr: 6.8632e-03 eta: 9:35:01 time: 0.4312 data_time: 0.0212 memory: 6760 loss_prob: 2.8521 loss_thr: 0.8015 loss_db: 0.3272 loss: 3.9808 2022/08/25 22:33:02 - mmengine - INFO - Epoch(train) [27][40/63] lr: 6.8632e-03 eta: 9:34:13 time: 0.3683 data_time: 0.0199 memory: 6760 loss_prob: 2.8520 loss_thr: 0.8151 loss_db: 0.3418 loss: 4.0089 2022/08/25 22:33:04 - mmengine - INFO - Epoch(train) [27][45/63] lr: 6.8632e-03 eta: 9:34:13 time: 0.3802 data_time: 0.0215 memory: 6760 loss_prob: 2.8525 loss_thr: 0.8335 loss_db: 0.3679 loss: 4.0540 2022/08/25 22:33:06 - mmengine - INFO - Epoch(train) [27][50/63] lr: 6.8632e-03 eta: 9:33:37 time: 0.3949 data_time: 0.0267 memory: 6760 loss_prob: 2.8530 loss_thr: 0.8536 loss_db: 0.3762 loss: 4.0828 2022/08/25 22:33:08 - mmengine - INFO - Epoch(train) [27][55/63] lr: 6.8632e-03 eta: 9:33:37 time: 0.4057 data_time: 0.0224 memory: 6760 loss_prob: 2.8525 loss_thr: 0.8314 loss_db: 0.3689 loss: 4.0529 2022/08/25 22:33:10 - mmengine - INFO - Epoch(train) [27][60/63] lr: 6.8632e-03 eta: 9:33:06 time: 0.4049 data_time: 0.0202 memory: 6760 loss_prob: 2.8530 loss_thr: 0.8021 loss_db: 0.3350 loss: 3.9901 2022/08/25 22:33:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:33:14 - mmengine - INFO - Epoch(train) [28][5/63] lr: 6.8580e-03 eta: 9:33:06 time: 0.4956 data_time: 0.1509 memory: 6760 loss_prob: 2.8534 loss_thr: 0.8251 loss_db: 0.3370 loss: 4.0155 2022/08/25 22:33:16 - mmengine - INFO - Epoch(train) [28][10/63] lr: 6.8580e-03 eta: 9:32:26 time: 0.5264 data_time: 0.1672 memory: 6760 loss_prob: 2.8512 loss_thr: 0.8326 loss_db: 0.3630 loss: 4.0468 2022/08/25 22:33:18 - mmengine - INFO - Epoch(train) [28][15/63] lr: 6.8580e-03 eta: 9:32:26 time: 0.3880 data_time: 0.0283 memory: 6760 loss_prob: 2.8495 loss_thr: 0.8580 loss_db: 0.3779 loss: 4.0854 2022/08/25 22:33:20 - mmengine - INFO - Epoch(train) [28][20/63] lr: 6.8580e-03 eta: 9:31:43 time: 0.3755 data_time: 0.0147 memory: 6760 loss_prob: 2.8489 loss_thr: 0.8373 loss_db: 0.3807 loss: 4.0669 2022/08/25 22:33:22 - mmengine - INFO - Epoch(train) [28][25/63] lr: 6.8580e-03 eta: 9:31:43 time: 0.3895 data_time: 0.0227 memory: 6760 loss_prob: 2.8495 loss_thr: 0.8025 loss_db: 0.3662 loss: 4.0182 2022/08/25 22:33:25 - mmengine - INFO - Epoch(train) [28][30/63] lr: 6.8580e-03 eta: 9:32:06 time: 0.5283 data_time: 0.0234 memory: 6760 loss_prob: 2.8533 loss_thr: 0.8108 loss_db: 0.3657 loss: 4.0298 2022/08/25 22:33:27 - mmengine - INFO - Epoch(train) [28][35/63] lr: 6.8580e-03 eta: 9:32:06 time: 0.5168 data_time: 0.0270 memory: 6760 loss_prob: 2.8550 loss_thr: 0.8142 loss_db: 0.3699 loss: 4.0391 2022/08/25 22:33:29 - mmengine - INFO - Epoch(train) [28][40/63] lr: 6.8580e-03 eta: 9:31:20 time: 0.3683 data_time: 0.0235 memory: 6760 loss_prob: 2.8493 loss_thr: 0.7801 loss_db: 0.3769 loss: 4.0064 2022/08/25 22:33:31 - mmengine - INFO - Epoch(train) [28][45/63] lr: 6.8580e-03 eta: 9:31:20 time: 0.3761 data_time: 0.0169 memory: 6760 loss_prob: 2.8455 loss_thr: 0.7898 loss_db: 0.3789 loss: 4.0143 2022/08/25 22:33:33 - mmengine - INFO - Epoch(train) [28][50/63] lr: 6.8580e-03 eta: 9:30:38 time: 0.3755 data_time: 0.0225 memory: 6760 loss_prob: 2.8440 loss_thr: 0.7987 loss_db: 0.3294 loss: 3.9722 2022/08/25 22:33:35 - mmengine - INFO - Epoch(train) [28][55/63] lr: 6.8580e-03 eta: 9:30:38 time: 0.3939 data_time: 0.0221 memory: 6760 loss_prob: 2.8439 loss_thr: 0.7816 loss_db: 0.3278 loss: 3.9533 2022/08/25 22:33:37 - mmengine - INFO - Epoch(train) [28][60/63] lr: 6.8580e-03 eta: 9:30:21 time: 0.4333 data_time: 0.0210 memory: 6760 loss_prob: 2.8470 loss_thr: 0.8080 loss_db: 0.3357 loss: 3.9907 2022/08/25 22:33:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:33:42 - mmengine - INFO - Epoch(train) [29][5/63] lr: 6.8527e-03 eta: 9:30:21 time: 0.5294 data_time: 0.1732 memory: 6760 loss_prob: 2.8495 loss_thr: 0.8402 loss_db: 0.3316 loss: 4.0213 2022/08/25 22:33:44 - mmengine - INFO - Epoch(train) [29][10/63] lr: 6.8527e-03 eta: 9:29:55 time: 0.5558 data_time: 0.1761 memory: 6760 loss_prob: 2.8469 loss_thr: 0.8370 loss_db: 0.3728 loss: 4.0567 2022/08/25 22:33:45 - mmengine - INFO - Epoch(train) [29][15/63] lr: 6.8527e-03 eta: 9:29:55 time: 0.3847 data_time: 0.0239 memory: 6760 loss_prob: 2.8489 loss_thr: 0.8465 loss_db: 0.3853 loss: 4.0807 2022/08/25 22:33:47 - mmengine - INFO - Epoch(train) [29][20/63] lr: 6.8527e-03 eta: 9:29:15 time: 0.3771 data_time: 0.0229 memory: 6760 loss_prob: 2.8490 loss_thr: 0.8214 loss_db: 0.3291 loss: 3.9996 2022/08/25 22:33:49 - mmengine - INFO - Epoch(train) [29][25/63] lr: 6.8527e-03 eta: 9:29:15 time: 0.3871 data_time: 0.0291 memory: 6760 loss_prob: 2.8478 loss_thr: 0.8216 loss_db: 0.3368 loss: 4.0062 2022/08/25 22:33:52 - mmengine - INFO - Epoch(train) [29][30/63] lr: 6.8527e-03 eta: 9:29:02 time: 0.4429 data_time: 0.0210 memory: 6760 loss_prob: 2.8468 loss_thr: 0.8241 loss_db: 0.3928 loss: 4.0638 2022/08/25 22:33:55 - mmengine - INFO - Epoch(train) [29][35/63] lr: 6.8527e-03 eta: 9:29:02 time: 0.5149 data_time: 0.0228 memory: 6760 loss_prob: 2.8464 loss_thr: 0.8144 loss_db: 0.3847 loss: 4.0456 2022/08/25 22:33:56 - mmengine - INFO - Epoch(train) [29][40/63] lr: 6.8527e-03 eta: 9:28:58 time: 0.4626 data_time: 0.0330 memory: 6760 loss_prob: 2.8494 loss_thr: 0.8346 loss_db: 0.3853 loss: 4.0693 2022/08/25 22:33:58 - mmengine - INFO - Epoch(train) [29][45/63] lr: 6.8527e-03 eta: 9:28:58 time: 0.3899 data_time: 0.0260 memory: 6760 loss_prob: 2.8525 loss_thr: 0.8561 loss_db: 0.4017 loss: 4.1102 2022/08/25 22:34:00 - mmengine - INFO - Epoch(train) [29][50/63] lr: 6.8527e-03 eta: 9:28:21 time: 0.3832 data_time: 0.0257 memory: 6760 loss_prob: 2.8519 loss_thr: 0.8204 loss_db: 0.3706 loss: 4.0429 2022/08/25 22:34:02 - mmengine - INFO - Epoch(train) [29][55/63] lr: 6.8527e-03 eta: 9:28:21 time: 0.3758 data_time: 0.0227 memory: 6760 loss_prob: 2.8490 loss_thr: 0.7815 loss_db: 0.3640 loss: 3.9945 2022/08/25 22:34:04 - mmengine - INFO - Epoch(train) [29][60/63] lr: 6.8527e-03 eta: 9:27:47 time: 0.3898 data_time: 0.0177 memory: 6760 loss_prob: 2.8476 loss_thr: 0.7860 loss_db: 0.3427 loss: 3.9763 2022/08/25 22:34:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:34:09 - mmengine - INFO - Epoch(train) [30][5/63] lr: 6.8474e-03 eta: 9:27:47 time: 0.5149 data_time: 0.1525 memory: 6760 loss_prob: 2.8474 loss_thr: 0.8237 loss_db: 0.3502 loss: 4.0213 2022/08/25 22:34:10 - mmengine - INFO - Epoch(train) [30][10/63] lr: 6.8474e-03 eta: 9:27:14 time: 0.5326 data_time: 0.1608 memory: 6760 loss_prob: 2.8484 loss_thr: 0.8456 loss_db: 0.3844 loss: 4.0784 2022/08/25 22:34:12 - mmengine - INFO - Epoch(train) [30][15/63] lr: 6.8474e-03 eta: 9:27:14 time: 0.3859 data_time: 0.0230 memory: 6760 loss_prob: 2.8465 loss_thr: 0.8034 loss_db: 0.3659 loss: 4.0158 2022/08/25 22:34:14 - mmengine - INFO - Epoch(train) [30][20/63] lr: 6.8474e-03 eta: 9:26:41 time: 0.3917 data_time: 0.0171 memory: 6760 loss_prob: 2.8444 loss_thr: 0.7883 loss_db: 0.3278 loss: 3.9605 2022/08/25 22:34:16 - mmengine - INFO - Epoch(train) [30][25/63] lr: 6.8474e-03 eta: 9:26:41 time: 0.3925 data_time: 0.0236 memory: 6760 loss_prob: 2.8464 loss_thr: 0.8258 loss_db: 0.3393 loss: 4.0115 2022/08/25 22:34:18 - mmengine - INFO - Epoch(train) [30][30/63] lr: 6.8474e-03 eta: 9:26:04 time: 0.3787 data_time: 0.0193 memory: 6760 loss_prob: 2.8477 loss_thr: 0.8285 loss_db: 0.3491 loss: 4.0253 2022/08/25 22:34:20 - mmengine - INFO - Epoch(train) [30][35/63] lr: 6.8474e-03 eta: 9:26:04 time: 0.3710 data_time: 0.0155 memory: 6760 loss_prob: 2.8496 loss_thr: 0.7820 loss_db: 0.3458 loss: 3.9773 2022/08/25 22:34:22 - mmengine - INFO - Epoch(train) [30][40/63] lr: 6.8474e-03 eta: 9:25:22 time: 0.3662 data_time: 0.0229 memory: 6760 loss_prob: 2.8523 loss_thr: 0.7988 loss_db: 0.3382 loss: 3.9894 2022/08/25 22:34:26 - mmengine - INFO - Epoch(train) [30][45/63] lr: 6.8474e-03 eta: 9:25:22 time: 0.5856 data_time: 0.0379 memory: 6760 loss_prob: 2.8524 loss_thr: 0.7794 loss_db: 0.3097 loss: 3.9415 2022/08/25 22:34:28 - mmengine - INFO - Epoch(train) [30][50/63] lr: 6.8474e-03 eta: 9:26:06 time: 0.5836 data_time: 0.0386 memory: 6760 loss_prob: 2.8502 loss_thr: 0.7577 loss_db: 0.3236 loss: 3.9315 2022/08/25 22:34:29 - mmengine - INFO - Epoch(train) [30][55/63] lr: 6.8474e-03 eta: 9:26:06 time: 0.3599 data_time: 0.0210 memory: 6760 loss_prob: 2.8505 loss_thr: 0.7903 loss_db: 0.3440 loss: 3.9848 2022/08/25 22:34:31 - mmengine - INFO - Epoch(train) [30][60/63] lr: 6.8474e-03 eta: 9:25:24 time: 0.3660 data_time: 0.0148 memory: 6760 loss_prob: 2.8528 loss_thr: 0.8254 loss_db: 0.3638 loss: 4.0419 2022/08/25 22:34:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:34:36 - mmengine - INFO - Epoch(train) [31][5/63] lr: 6.8422e-03 eta: 9:25:24 time: 0.5583 data_time: 0.1880 memory: 6760 loss_prob: 2.8522 loss_thr: 0.8564 loss_db: 0.3645 loss: 4.0732 2022/08/25 22:34:38 - mmengine - INFO - Epoch(train) [31][10/63] lr: 6.8422e-03 eta: 9:25:07 time: 0.5685 data_time: 0.1906 memory: 6760 loss_prob: 2.8499 loss_thr: 0.8147 loss_db: 0.3529 loss: 4.0175 2022/08/25 22:34:40 - mmengine - INFO - Epoch(train) [31][15/63] lr: 6.8422e-03 eta: 9:25:07 time: 0.3698 data_time: 0.0205 memory: 6760 loss_prob: 2.8497 loss_thr: 0.8038 loss_db: 0.3679 loss: 4.0214 2022/08/25 22:34:42 - mmengine - INFO - Epoch(train) [31][20/63] lr: 6.8422e-03 eta: 9:24:30 time: 0.3760 data_time: 0.0170 memory: 6760 loss_prob: 2.8504 loss_thr: 0.8266 loss_db: 0.3818 loss: 4.0589 2022/08/25 22:34:45 - mmengine - INFO - Epoch(train) [31][25/63] lr: 6.8422e-03 eta: 9:24:30 time: 0.5462 data_time: 0.0239 memory: 6760 loss_prob: 2.8483 loss_thr: 0.8275 loss_db: 0.3548 loss: 4.0306 2022/08/25 22:34:47 - mmengine - INFO - Epoch(train) [31][30/63] lr: 6.8422e-03 eta: 9:24:53 time: 0.5310 data_time: 0.0231 memory: 6760 loss_prob: 2.8472 loss_thr: 0.8117 loss_db: 0.3556 loss: 4.0145 2022/08/25 22:34:49 - mmengine - INFO - Epoch(train) [31][35/63] lr: 6.8422e-03 eta: 9:24:53 time: 0.3654 data_time: 0.0219 memory: 6760 loss_prob: 2.8469 loss_thr: 0.8039 loss_db: 0.3838 loss: 4.0346 2022/08/25 22:34:51 - mmengine - INFO - Epoch(train) [31][40/63] lr: 6.8422e-03 eta: 9:24:10 time: 0.3594 data_time: 0.0176 memory: 6760 loss_prob: 2.8448 loss_thr: 0.8036 loss_db: 0.3960 loss: 4.0443 2022/08/25 22:34:53 - mmengine - INFO - Epoch(train) [31][45/63] lr: 6.8422e-03 eta: 9:24:10 time: 0.3617 data_time: 0.0177 memory: 6760 loss_prob: 2.8427 loss_thr: 0.8031 loss_db: 0.4014 loss: 4.0472 2022/08/25 22:34:55 - mmengine - INFO - Epoch(train) [31][50/63] lr: 6.8422e-03 eta: 9:23:48 time: 0.4138 data_time: 0.0308 memory: 6760 loss_prob: 2.8426 loss_thr: 0.8093 loss_db: 0.3709 loss: 4.0228 2022/08/25 22:34:57 - mmengine - INFO - Epoch(train) [31][55/63] lr: 6.8422e-03 eta: 9:23:48 time: 0.4179 data_time: 0.0272 memory: 6760 loss_prob: 2.8435 loss_thr: 0.8252 loss_db: 0.3718 loss: 4.0406 2022/08/25 22:34:59 - mmengine - INFO - Epoch(train) [31][60/63] lr: 6.8422e-03 eta: 9:23:10 time: 0.3722 data_time: 0.0183 memory: 6760 loss_prob: 2.8446 loss_thr: 0.8295 loss_db: 0.3821 loss: 4.0562 2022/08/25 22:35:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:35:03 - mmengine - INFO - Epoch(train) [32][5/63] lr: 6.8369e-03 eta: 9:23:10 time: 0.4904 data_time: 0.1479 memory: 6760 loss_prob: 2.8474 loss_thr: 0.8217 loss_db: 0.3488 loss: 4.0179 2022/08/25 22:35:05 - mmengine - INFO - Epoch(train) [32][10/63] lr: 6.8369e-03 eta: 9:22:50 time: 0.5595 data_time: 0.1700 memory: 6760 loss_prob: 2.8492 loss_thr: 0.8077 loss_db: 0.3453 loss: 4.0022 2022/08/25 22:35:07 - mmengine - INFO - Epoch(train) [32][15/63] lr: 6.8369e-03 eta: 9:22:50 time: 0.4232 data_time: 0.0315 memory: 6760 loss_prob: 2.8503 loss_thr: 0.7885 loss_db: 0.3464 loss: 3.9853 2022/08/25 22:35:09 - mmengine - INFO - Epoch(train) [32][20/63] lr: 6.8369e-03 eta: 9:22:11 time: 0.3656 data_time: 0.0148 memory: 6760 loss_prob: 2.8510 loss_thr: 0.7954 loss_db: 0.3603 loss: 4.0067 2022/08/25 22:35:11 - mmengine - INFO - Epoch(train) [32][25/63] lr: 6.8369e-03 eta: 9:22:11 time: 0.3722 data_time: 0.0207 memory: 6760 loss_prob: 2.8514 loss_thr: 0.8317 loss_db: 0.3829 loss: 4.0660 2022/08/25 22:35:13 - mmengine - INFO - Epoch(train) [32][30/63] lr: 6.8369e-03 eta: 9:21:33 time: 0.3685 data_time: 0.0158 memory: 6760 loss_prob: 2.8523 loss_thr: 0.8292 loss_db: 0.3530 loss: 4.0346 2022/08/25 22:35:16 - mmengine - INFO - Epoch(train) [32][35/63] lr: 6.8369e-03 eta: 9:21:33 time: 0.5570 data_time: 0.0287 memory: 6760 loss_prob: 2.8573 loss_thr: 0.8021 loss_db: 0.3434 loss: 4.0028 2022/08/25 22:35:18 - mmengine - INFO - Epoch(train) [32][40/63] lr: 6.8369e-03 eta: 9:22:11 time: 0.5723 data_time: 0.0389 memory: 6760 loss_prob: 2.8574 loss_thr: 0.8143 loss_db: 0.3710 loss: 4.0427 2022/08/25 22:35:20 - mmengine - INFO - Epoch(train) [32][45/63] lr: 6.8369e-03 eta: 9:22:11 time: 0.3850 data_time: 0.0243 memory: 6760 loss_prob: 2.8500 loss_thr: 0.8305 loss_db: 0.3786 loss: 4.0591 2022/08/25 22:35:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:35:22 - mmengine - INFO - Epoch(train) [32][50/63] lr: 6.8369e-03 eta: 9:21:40 time: 0.3875 data_time: 0.0197 memory: 6760 loss_prob: 2.8465 loss_thr: 0.8231 loss_db: 0.3659 loss: 4.0355 2022/08/25 22:35:24 - mmengine - INFO - Epoch(train) [32][55/63] lr: 6.8369e-03 eta: 9:21:40 time: 0.3840 data_time: 0.0180 memory: 6760 loss_prob: 2.8471 loss_thr: 0.7972 loss_db: 0.3404 loss: 3.9846 2022/08/25 22:35:26 - mmengine - INFO - Epoch(train) [32][60/63] lr: 6.8369e-03 eta: 9:21:07 time: 0.3801 data_time: 0.0184 memory: 6760 loss_prob: 2.8487 loss_thr: 0.7915 loss_db: 0.3260 loss: 3.9662 2022/08/25 22:35:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:35:31 - mmengine - INFO - Epoch(train) [33][5/63] lr: 6.8316e-03 eta: 9:21:07 time: 0.5757 data_time: 0.1758 memory: 6760 loss_prob: 2.8500 loss_thr: 0.8126 loss_db: 0.3559 loss: 4.0185 2022/08/25 22:35:33 - mmengine - INFO - Epoch(train) [33][10/63] lr: 6.8316e-03 eta: 9:20:46 time: 0.5516 data_time: 0.1965 memory: 6760 loss_prob: 2.8495 loss_thr: 0.8406 loss_db: 0.3907 loss: 4.0808 2022/08/25 22:35:35 - mmengine - INFO - Epoch(train) [33][15/63] lr: 6.8316e-03 eta: 9:20:46 time: 0.4285 data_time: 0.0336 memory: 6760 loss_prob: 2.8497 loss_thr: 0.8531 loss_db: 0.3820 loss: 4.0847 2022/08/25 22:35:37 - mmengine - INFO - Epoch(train) [33][20/63] lr: 6.8316e-03 eta: 9:20:22 time: 0.4053 data_time: 0.0162 memory: 6760 loss_prob: 2.8502 loss_thr: 0.8318 loss_db: 0.3704 loss: 4.0524 2022/08/25 22:35:39 - mmengine - INFO - Epoch(train) [33][25/63] lr: 6.8316e-03 eta: 9:20:22 time: 0.3686 data_time: 0.0226 memory: 6760 loss_prob: 2.8490 loss_thr: 0.8101 loss_db: 0.3525 loss: 4.0116 2022/08/25 22:35:41 - mmengine - INFO - Epoch(train) [33][30/63] lr: 6.8316e-03 eta: 9:19:45 time: 0.3657 data_time: 0.0179 memory: 6760 loss_prob: 2.8488 loss_thr: 0.8017 loss_db: 0.3479 loss: 3.9984 2022/08/25 22:35:43 - mmengine - INFO - Epoch(train) [33][35/63] lr: 6.8316e-03 eta: 9:19:45 time: 0.3637 data_time: 0.0168 memory: 6760 loss_prob: 2.8495 loss_thr: 0.8143 loss_db: 0.3487 loss: 4.0125 2022/08/25 22:35:46 - mmengine - INFO - Epoch(train) [33][40/63] lr: 6.8316e-03 eta: 9:19:52 time: 0.4897 data_time: 0.0297 memory: 6760 loss_prob: 2.8501 loss_thr: 0.8185 loss_db: 0.3547 loss: 4.0233 2022/08/25 22:35:48 - mmengine - INFO - Epoch(train) [33][45/63] lr: 6.8316e-03 eta: 9:19:52 time: 0.4966 data_time: 0.0292 memory: 6760 loss_prob: 2.8500 loss_thr: 0.7926 loss_db: 0.3562 loss: 3.9988 2022/08/25 22:35:50 - mmengine - INFO - Epoch(train) [33][50/63] lr: 6.8316e-03 eta: 9:19:22 time: 0.3849 data_time: 0.0239 memory: 6760 loss_prob: 2.8490 loss_thr: 0.7843 loss_db: 0.3479 loss: 3.9812 2022/08/25 22:35:51 - mmengine - INFO - Epoch(train) [33][55/63] lr: 6.8316e-03 eta: 9:19:22 time: 0.3799 data_time: 0.0180 memory: 6760 loss_prob: 2.8517 loss_thr: 0.8164 loss_db: 0.3375 loss: 4.0057 2022/08/25 22:35:53 - mmengine - INFO - Epoch(train) [33][60/63] lr: 6.8316e-03 eta: 9:18:52 time: 0.3846 data_time: 0.0151 memory: 6760 loss_prob: 2.8501 loss_thr: 0.8066 loss_db: 0.3490 loss: 4.0057 2022/08/25 22:35:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:35:58 - mmengine - INFO - Epoch(train) [34][5/63] lr: 6.8264e-03 eta: 9:18:52 time: 0.5461 data_time: 0.1713 memory: 6760 loss_prob: 2.8486 loss_thr: 0.7908 loss_db: 0.3608 loss: 4.0001 2022/08/25 22:36:00 - mmengine - INFO - Epoch(train) [34][10/63] lr: 6.8264e-03 eta: 9:18:25 time: 0.5335 data_time: 0.1743 memory: 6760 loss_prob: 2.8501 loss_thr: 0.8421 loss_db: 0.3841 loss: 4.0763 2022/08/25 22:36:02 - mmengine - INFO - Epoch(train) [34][15/63] lr: 6.8264e-03 eta: 9:18:25 time: 0.3679 data_time: 0.0228 memory: 6760 loss_prob: 2.8474 loss_thr: 0.8482 loss_db: 0.3843 loss: 4.0799 2022/08/25 22:36:04 - mmengine - INFO - Epoch(train) [34][20/63] lr: 6.8264e-03 eta: 9:17:57 time: 0.3885 data_time: 0.0155 memory: 6760 loss_prob: 2.8461 loss_thr: 0.8222 loss_db: 0.3688 loss: 4.0372 2022/08/25 22:36:06 - mmengine - INFO - Epoch(train) [34][25/63] lr: 6.8264e-03 eta: 9:17:57 time: 0.3959 data_time: 0.0227 memory: 6760 loss_prob: 2.8459 loss_thr: 0.8185 loss_db: 0.3842 loss: 4.0487 2022/08/25 22:36:08 - mmengine - INFO - Epoch(train) [34][30/63] lr: 6.8264e-03 eta: 9:17:37 time: 0.4119 data_time: 0.0232 memory: 6760 loss_prob: 2.8464 loss_thr: 0.8124 loss_db: 0.3638 loss: 4.0226 2022/08/25 22:36:10 - mmengine - INFO - Epoch(train) [34][35/63] lr: 6.8264e-03 eta: 9:17:37 time: 0.4191 data_time: 0.0219 memory: 6760 loss_prob: 2.8474 loss_thr: 0.7793 loss_db: 0.3021 loss: 3.9288 2022/08/25 22:36:12 - mmengine - INFO - Epoch(train) [34][40/63] lr: 6.8264e-03 eta: 9:17:03 time: 0.3708 data_time: 0.0183 memory: 6760 loss_prob: 2.8475 loss_thr: 0.7913 loss_db: 0.3236 loss: 3.9624 2022/08/25 22:36:14 - mmengine - INFO - Epoch(train) [34][45/63] lr: 6.8264e-03 eta: 9:17:03 time: 0.4306 data_time: 0.0178 memory: 6760 loss_prob: 2.8476 loss_thr: 0.7945 loss_db: 0.3451 loss: 3.9872 2022/08/25 22:36:16 - mmengine - INFO - Epoch(train) [34][50/63] lr: 6.8264e-03 eta: 9:17:06 time: 0.4749 data_time: 0.0389 memory: 6760 loss_prob: 2.8495 loss_thr: 0.7914 loss_db: 0.3306 loss: 3.9716 2022/08/25 22:36:18 - mmengine - INFO - Epoch(train) [34][55/63] lr: 6.8264e-03 eta: 9:17:06 time: 0.3982 data_time: 0.0347 memory: 6760 loss_prob: 2.8516 loss_thr: 0.8197 loss_db: 0.3476 loss: 4.0189 2022/08/25 22:36:20 - mmengine - INFO - Epoch(train) [34][60/63] lr: 6.8264e-03 eta: 9:16:28 time: 0.3594 data_time: 0.0172 memory: 6760 loss_prob: 2.8531 loss_thr: 0.8334 loss_db: 0.3797 loss: 4.0662 2022/08/25 22:36:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:36:25 - mmengine - INFO - Epoch(train) [35][5/63] lr: 6.8211e-03 eta: 9:16:28 time: 0.5332 data_time: 0.1486 memory: 6760 loss_prob: 2.8526 loss_thr: 0.8114 loss_db: 0.3435 loss: 4.0075 2022/08/25 22:36:27 - mmengine - INFO - Epoch(train) [35][10/63] lr: 6.8211e-03 eta: 9:16:14 time: 0.5659 data_time: 0.1657 memory: 6760 loss_prob: 2.8512 loss_thr: 0.7892 loss_db: 0.3292 loss: 3.9696 2022/08/25 22:36:28 - mmengine - INFO - Epoch(train) [35][15/63] lr: 6.8211e-03 eta: 9:16:14 time: 0.3804 data_time: 0.0252 memory: 6760 loss_prob: 2.8509 loss_thr: 0.7882 loss_db: 0.3186 loss: 3.9577 2022/08/25 22:36:30 - mmengine - INFO - Epoch(train) [35][20/63] lr: 6.8211e-03 eta: 9:15:40 time: 0.3681 data_time: 0.0151 memory: 6760 loss_prob: 2.8520 loss_thr: 0.7994 loss_db: 0.3286 loss: 3.9799 2022/08/25 22:36:32 - mmengine - INFO - Epoch(train) [35][25/63] lr: 6.8211e-03 eta: 9:15:40 time: 0.3940 data_time: 0.0234 memory: 6760 loss_prob: 2.8523 loss_thr: 0.8297 loss_db: 0.3715 loss: 4.0535 2022/08/25 22:36:35 - mmengine - INFO - Epoch(train) [35][30/63] lr: 6.8211e-03 eta: 9:15:49 time: 0.4924 data_time: 0.0282 memory: 6760 loss_prob: 2.8505 loss_thr: 0.8309 loss_db: 0.3881 loss: 4.0695 2022/08/25 22:36:37 - mmengine - INFO - Epoch(train) [35][35/63] lr: 6.8211e-03 eta: 9:15:49 time: 0.4851 data_time: 0.0268 memory: 6760 loss_prob: 2.8488 loss_thr: 0.8025 loss_db: 0.3457 loss: 3.9970 2022/08/25 22:36:39 - mmengine - INFO - Epoch(train) [35][40/63] lr: 6.8211e-03 eta: 9:15:22 time: 0.3882 data_time: 0.0203 memory: 6760 loss_prob: 2.8491 loss_thr: 0.8035 loss_db: 0.3149 loss: 3.9675 2022/08/25 22:36:41 - mmengine - INFO - Epoch(train) [35][45/63] lr: 6.8211e-03 eta: 9:15:22 time: 0.3775 data_time: 0.0180 memory: 6760 loss_prob: 2.8503 loss_thr: 0.8288 loss_db: 0.3374 loss: 4.0166 2022/08/25 22:36:43 - mmengine - INFO - Epoch(train) [35][50/63] lr: 6.8211e-03 eta: 9:14:51 time: 0.3761 data_time: 0.0176 memory: 6760 loss_prob: 2.8508 loss_thr: 0.8276 loss_db: 0.3454 loss: 4.0238 2022/08/25 22:36:45 - mmengine - INFO - Epoch(train) [35][55/63] lr: 6.8211e-03 eta: 9:14:51 time: 0.3979 data_time: 0.0258 memory: 6760 loss_prob: 2.8496 loss_thr: 0.7827 loss_db: 0.3302 loss: 3.9624 2022/08/25 22:36:47 - mmengine - INFO - Epoch(train) [35][60/63] lr: 6.8211e-03 eta: 9:14:25 time: 0.3885 data_time: 0.0254 memory: 6760 loss_prob: 2.8501 loss_thr: 0.7846 loss_db: 0.3186 loss: 3.9533 2022/08/25 22:36:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:36:52 - mmengine - INFO - Epoch(train) [36][5/63] lr: 6.8158e-03 eta: 9:14:25 time: 0.6237 data_time: 0.1896 memory: 6760 loss_prob: 2.8528 loss_thr: 0.7748 loss_db: 0.3117 loss: 3.9393 2022/08/25 22:36:55 - mmengine - INFO - Epoch(train) [36][10/63] lr: 6.8158e-03 eta: 9:14:26 time: 0.6097 data_time: 0.2123 memory: 6760 loss_prob: 2.8522 loss_thr: 0.7713 loss_db: 0.3156 loss: 3.9390 2022/08/25 22:36:57 - mmengine - INFO - Epoch(train) [36][15/63] lr: 6.8158e-03 eta: 9:14:26 time: 0.4388 data_time: 0.0441 memory: 6760 loss_prob: 2.8513 loss_thr: 0.7783 loss_db: 0.3175 loss: 3.9470 2022/08/25 22:36:59 - mmengine - INFO - Epoch(train) [36][20/63] lr: 6.8158e-03 eta: 9:13:57 time: 0.3792 data_time: 0.0163 memory: 6760 loss_prob: 2.8519 loss_thr: 0.7926 loss_db: 0.3373 loss: 3.9818 2022/08/25 22:37:01 - mmengine - INFO - Epoch(train) [36][25/63] lr: 6.8158e-03 eta: 9:13:57 time: 0.3855 data_time: 0.0222 memory: 6760 loss_prob: 2.8540 loss_thr: 0.8109 loss_db: 0.3502 loss: 4.0151 2022/08/25 22:37:02 - mmengine - INFO - Epoch(train) [36][30/63] lr: 6.8158e-03 eta: 9:13:29 time: 0.3800 data_time: 0.0200 memory: 6760 loss_prob: 2.8562 loss_thr: 0.8086 loss_db: 0.3424 loss: 4.0072 2022/08/25 22:37:06 - mmengine - INFO - Epoch(train) [36][35/63] lr: 6.8158e-03 eta: 9:13:29 time: 0.5616 data_time: 0.0483 memory: 6760 loss_prob: 2.8574 loss_thr: 0.8129 loss_db: 0.3274 loss: 3.9978 2022/08/25 22:37:08 - mmengine - INFO - Epoch(train) [36][40/63] lr: 6.8158e-03 eta: 9:14:03 time: 0.5706 data_time: 0.0477 memory: 6760 loss_prob: 2.8566 loss_thr: 0.8112 loss_db: 0.3289 loss: 3.9966 2022/08/25 22:37:10 - mmengine - INFO - Epoch(train) [36][45/63] lr: 6.8158e-03 eta: 9:14:03 time: 0.3859 data_time: 0.0185 memory: 6760 loss_prob: 2.8531 loss_thr: 0.7937 loss_db: 0.3369 loss: 3.9838 2022/08/25 22:37:12 - mmengine - INFO - Epoch(train) [36][50/63] lr: 6.8158e-03 eta: 9:13:35 time: 0.3822 data_time: 0.0275 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7887 loss_db: 0.3253 loss: 3.9679 2022/08/25 22:37:14 - mmengine - INFO - Epoch(train) [36][55/63] lr: 6.8158e-03 eta: 9:13:35 time: 0.4193 data_time: 0.0329 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7963 loss_db: 0.3270 loss: 3.9795 2022/08/25 22:37:16 - mmengine - INFO - Epoch(train) [36][60/63] lr: 6.8158e-03 eta: 9:13:19 time: 0.4189 data_time: 0.0284 memory: 6760 loss_prob: 2.8542 loss_thr: 0.7821 loss_db: 0.3250 loss: 3.9613 2022/08/25 22:37:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:37:21 - mmengine - INFO - Epoch(train) [37][5/63] lr: 6.8106e-03 eta: 9:13:19 time: 0.5097 data_time: 0.1555 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7992 loss_db: 0.3439 loss: 3.9964 2022/08/25 22:37:23 - mmengine - INFO - Epoch(train) [37][10/63] lr: 6.8106e-03 eta: 9:13:00 time: 0.5476 data_time: 0.1744 memory: 6760 loss_prob: 2.8570 loss_thr: 0.8132 loss_db: 0.3322 loss: 4.0024 2022/08/25 22:37:25 - mmengine - INFO - Epoch(train) [37][15/63] lr: 6.8106e-03 eta: 9:13:00 time: 0.4564 data_time: 0.0280 memory: 6760 loss_prob: 2.8575 loss_thr: 0.8022 loss_db: 0.3300 loss: 3.9897 2022/08/25 22:37:27 - mmengine - INFO - Epoch(train) [37][20/63] lr: 6.8106e-03 eta: 9:12:52 time: 0.4408 data_time: 0.0189 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7823 loss_db: 0.3246 loss: 3.9618 2022/08/25 22:37:29 - mmengine - INFO - Epoch(train) [37][25/63] lr: 6.8106e-03 eta: 9:12:52 time: 0.3807 data_time: 0.0258 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7808 loss_db: 0.3175 loss: 3.9522 2022/08/25 22:37:31 - mmengine - INFO - Epoch(train) [37][30/63] lr: 6.8106e-03 eta: 9:12:20 time: 0.3661 data_time: 0.0169 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7825 loss_db: 0.3226 loss: 3.9606 2022/08/25 22:37:33 - mmengine - INFO - Epoch(train) [37][35/63] lr: 6.8106e-03 eta: 9:12:20 time: 0.3666 data_time: 0.0215 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7916 loss_db: 0.3304 loss: 3.9790 2022/08/25 22:37:35 - mmengine - INFO - Epoch(train) [37][40/63] lr: 6.8106e-03 eta: 9:12:09 time: 0.4305 data_time: 0.0283 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7794 loss_db: 0.3303 loss: 3.9648 2022/08/25 22:37:37 - mmengine - INFO - Epoch(train) [37][45/63] lr: 6.8106e-03 eta: 9:12:09 time: 0.4228 data_time: 0.0218 memory: 6760 loss_prob: 2.8540 loss_thr: 0.7546 loss_db: 0.3166 loss: 3.9252 2022/08/25 22:37:39 - mmengine - INFO - Epoch(train) [37][50/63] lr: 6.8106e-03 eta: 9:11:40 time: 0.3761 data_time: 0.0229 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7962 loss_db: 0.3128 loss: 3.9666 2022/08/25 22:37:41 - mmengine - INFO - Epoch(train) [37][55/63] lr: 6.8106e-03 eta: 9:11:40 time: 0.3802 data_time: 0.0198 memory: 6760 loss_prob: 2.8589 loss_thr: 0.8415 loss_db: 0.3405 loss: 4.0408 2022/08/25 22:37:42 - mmengine - INFO - Epoch(train) [37][60/63] lr: 6.8106e-03 eta: 9:11:10 time: 0.3717 data_time: 0.0164 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7993 loss_db: 0.3533 loss: 4.0071 2022/08/25 22:37:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:37:49 - mmengine - INFO - Epoch(train) [38][5/63] lr: 6.8053e-03 eta: 9:11:10 time: 0.6827 data_time: 0.2470 memory: 6760 loss_prob: 2.8523 loss_thr: 0.7737 loss_db: 0.3183 loss: 3.9443 2022/08/25 22:37:51 - mmengine - INFO - Epoch(train) [38][10/63] lr: 6.8053e-03 eta: 9:11:44 time: 0.7127 data_time: 0.2520 memory: 6760 loss_prob: 2.8524 loss_thr: 0.7741 loss_db: 0.3230 loss: 3.9495 2022/08/25 22:37:52 - mmengine - INFO - Epoch(train) [38][15/63] lr: 6.8053e-03 eta: 9:11:44 time: 0.3777 data_time: 0.0214 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7908 loss_db: 0.3127 loss: 3.9577 2022/08/25 22:37:54 - mmengine - INFO - Epoch(train) [38][20/63] lr: 6.8053e-03 eta: 9:11:17 time: 0.3802 data_time: 0.0252 memory: 6760 loss_prob: 2.8534 loss_thr: 0.7852 loss_db: 0.3186 loss: 3.9572 2022/08/25 22:37:56 - mmengine - INFO - Epoch(train) [38][25/63] lr: 6.8053e-03 eta: 9:11:17 time: 0.3879 data_time: 0.0313 memory: 6760 loss_prob: 2.8522 loss_thr: 0.8119 loss_db: 0.3634 loss: 4.0275 2022/08/25 22:37:58 - mmengine - INFO - Epoch(train) [38][30/63] lr: 6.8053e-03 eta: 9:10:51 time: 0.3821 data_time: 0.0172 memory: 6760 loss_prob: 2.8515 loss_thr: 0.8344 loss_db: 0.3716 loss: 4.0575 2022/08/25 22:38:00 - mmengine - INFO - Epoch(train) [38][35/63] lr: 6.8053e-03 eta: 9:10:51 time: 0.3850 data_time: 0.0171 memory: 6760 loss_prob: 2.8492 loss_thr: 0.8005 loss_db: 0.3302 loss: 3.9799 2022/08/25 22:38:02 - mmengine - INFO - Epoch(train) [38][40/63] lr: 6.8053e-03 eta: 9:10:21 time: 0.3700 data_time: 0.0186 memory: 6760 loss_prob: 2.8484 loss_thr: 0.7953 loss_db: 0.3122 loss: 3.9559 2022/08/25 22:38:05 - mmengine - INFO - Epoch(train) [38][45/63] lr: 6.8053e-03 eta: 9:10:21 time: 0.4609 data_time: 0.0404 memory: 6760 loss_prob: 2.8488 loss_thr: 0.7695 loss_db: 0.3145 loss: 3.9328 2022/08/25 22:38:07 - mmengine - INFO - Epoch(train) [38][50/63] lr: 6.8053e-03 eta: 9:10:24 time: 0.4735 data_time: 0.0533 memory: 6760 loss_prob: 2.8488 loss_thr: 0.7469 loss_db: 0.3238 loss: 3.9195 2022/08/25 22:38:09 - mmengine - INFO - Epoch(train) [38][55/63] lr: 6.8053e-03 eta: 9:10:24 time: 0.3753 data_time: 0.0272 memory: 6760 loss_prob: 2.8492 loss_thr: 0.7758 loss_db: 0.3397 loss: 3.9648 2022/08/25 22:38:11 - mmengine - INFO - Epoch(train) [38][60/63] lr: 6.8053e-03 eta: 9:09:57 time: 0.3772 data_time: 0.0165 memory: 6760 loss_prob: 2.8532 loss_thr: 0.8297 loss_db: 0.3494 loss: 4.0324 2022/08/25 22:38:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:38:15 - mmengine - INFO - Epoch(train) [39][5/63] lr: 6.8000e-03 eta: 9:09:57 time: 0.5296 data_time: 0.1562 memory: 6760 loss_prob: 2.8544 loss_thr: 0.7725 loss_db: 0.3564 loss: 3.9833 2022/08/25 22:38:17 - mmengine - INFO - Epoch(train) [39][10/63] lr: 6.8000e-03 eta: 9:09:44 time: 0.5634 data_time: 0.1727 memory: 6760 loss_prob: 2.8510 loss_thr: 0.7660 loss_db: 0.3392 loss: 3.9561 2022/08/25 22:38:19 - mmengine - INFO - Epoch(train) [39][15/63] lr: 6.8000e-03 eta: 9:09:44 time: 0.4007 data_time: 0.0244 memory: 6760 loss_prob: 2.8507 loss_thr: 0.7903 loss_db: 0.3273 loss: 3.9683 2022/08/25 22:38:21 - mmengine - INFO - Epoch(train) [39][20/63] lr: 6.8000e-03 eta: 9:09:19 time: 0.3844 data_time: 0.0155 memory: 6760 loss_prob: 2.8508 loss_thr: 0.7906 loss_db: 0.3177 loss: 3.9591 2022/08/25 22:38:23 - mmengine - INFO - Epoch(train) [39][25/63] lr: 6.8000e-03 eta: 9:09:19 time: 0.3679 data_time: 0.0183 memory: 6760 loss_prob: 2.8522 loss_thr: 0.7746 loss_db: 0.3242 loss: 3.9509 2022/08/25 22:38:25 - mmengine - INFO - Epoch(train) [39][30/63] lr: 6.8000e-03 eta: 9:09:07 time: 0.4229 data_time: 0.0177 memory: 6760 loss_prob: 2.8537 loss_thr: 0.7460 loss_db: 0.3190 loss: 3.9186 2022/08/25 22:38:27 - mmengine - INFO - Epoch(train) [39][35/63] lr: 6.8000e-03 eta: 9:09:07 time: 0.4408 data_time: 0.0290 memory: 6760 loss_prob: 2.8537 loss_thr: 0.7744 loss_db: 0.3219 loss: 3.9500 2022/08/25 22:38:29 - mmengine - INFO - Epoch(train) [39][40/63] lr: 6.8000e-03 eta: 9:08:55 time: 0.4256 data_time: 0.0237 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7934 loss_db: 0.3261 loss: 3.9746 2022/08/25 22:38:31 - mmengine - INFO - Epoch(train) [39][45/63] lr: 6.8000e-03 eta: 9:08:55 time: 0.4186 data_time: 0.0170 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7598 loss_db: 0.3065 loss: 3.9207 2022/08/25 22:38:33 - mmengine - INFO - Epoch(train) [39][50/63] lr: 6.8000e-03 eta: 9:08:29 time: 0.3794 data_time: 0.0228 memory: 6760 loss_prob: 2.8534 loss_thr: 0.7563 loss_db: 0.3154 loss: 3.9252 2022/08/25 22:38:35 - mmengine - INFO - Epoch(train) [39][55/63] lr: 6.8000e-03 eta: 9:08:29 time: 0.3926 data_time: 0.0200 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7574 loss_db: 0.3253 loss: 3.9366 2022/08/25 22:38:37 - mmengine - INFO - Epoch(train) [39][60/63] lr: 6.8000e-03 eta: 9:08:10 time: 0.4002 data_time: 0.0252 memory: 6760 loss_prob: 2.8528 loss_thr: 0.7640 loss_db: 0.3029 loss: 3.9197 2022/08/25 22:38:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:38:42 - mmengine - INFO - Epoch(train) [40][5/63] lr: 6.7947e-03 eta: 9:08:10 time: 0.5107 data_time: 0.1682 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7845 loss_db: 0.3163 loss: 3.9571 2022/08/25 22:38:44 - mmengine - INFO - Epoch(train) [40][10/63] lr: 6.7947e-03 eta: 9:07:47 time: 0.5290 data_time: 0.1716 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7952 loss_db: 0.3205 loss: 3.9736 2022/08/25 22:38:46 - mmengine - INFO - Epoch(train) [40][15/63] lr: 6.7947e-03 eta: 9:07:47 time: 0.4785 data_time: 0.0382 memory: 6760 loss_prob: 2.8565 loss_thr: 0.8036 loss_db: 0.3148 loss: 3.9749 2022/08/25 22:38:49 - mmengine - INFO - Epoch(train) [40][20/63] lr: 6.7947e-03 eta: 9:08:11 time: 0.5438 data_time: 0.1024 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7909 loss_db: 0.3253 loss: 3.9733 2022/08/25 22:38:51 - mmengine - INFO - Epoch(train) [40][25/63] lr: 6.7947e-03 eta: 9:08:11 time: 0.4356 data_time: 0.0819 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7767 loss_db: 0.3415 loss: 3.9775 2022/08/25 22:38:53 - mmengine - INFO - Epoch(train) [40][30/63] lr: 6.7947e-03 eta: 9:07:42 time: 0.3682 data_time: 0.0209 memory: 6760 loss_prob: 2.8591 loss_thr: 0.7725 loss_db: 0.3234 loss: 3.9549 2022/08/25 22:38:55 - mmengine - INFO - Epoch(train) [40][35/63] lr: 6.7947e-03 eta: 9:07:42 time: 0.4387 data_time: 0.0185 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7715 loss_db: 0.3103 loss: 3.9371 2022/08/25 22:38:57 - mmengine - INFO - Epoch(train) [40][40/63] lr: 6.7947e-03 eta: 9:07:40 time: 0.4589 data_time: 0.0220 memory: 6760 loss_prob: 2.8535 loss_thr: 0.7579 loss_db: 0.3115 loss: 3.9229 2022/08/25 22:38:59 - mmengine - INFO - Epoch(train) [40][45/63] lr: 6.7947e-03 eta: 9:07:40 time: 0.4094 data_time: 0.0316 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7464 loss_db: 0.3123 loss: 3.9138 2022/08/25 22:39:01 - mmengine - INFO - Epoch(train) [40][50/63] lr: 6.7947e-03 eta: 9:07:19 time: 0.3898 data_time: 0.0254 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7728 loss_db: 0.3295 loss: 3.9610 2022/08/25 22:39:03 - mmengine - INFO - Epoch(train) [40][55/63] lr: 6.7947e-03 eta: 9:07:19 time: 0.3667 data_time: 0.0153 memory: 6760 loss_prob: 2.8591 loss_thr: 0.8210 loss_db: 0.3310 loss: 4.0111 2022/08/25 22:39:05 - mmengine - INFO - Epoch(train) [40][60/63] lr: 6.7947e-03 eta: 9:07:03 time: 0.4125 data_time: 0.0194 memory: 6760 loss_prob: 2.8574 loss_thr: 0.8363 loss_db: 0.3391 loss: 4.0328 2022/08/25 22:39:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:39:07 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/25 22:39:12 - mmengine - INFO - Epoch(val) [40][5/500] eta: 9:07:03 time: 0.3695 data_time: 0.0090 memory: 6760 2022/08/25 22:39:14 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:04:17 time: 0.5256 data_time: 0.0101 memory: 425 2022/08/25 22:39:17 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:04:17 time: 0.4547 data_time: 0.0030 memory: 425 2022/08/25 22:39:19 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:03:35 time: 0.4491 data_time: 0.0027 memory: 425 2022/08/25 22:39:21 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:03:35 time: 0.4469 data_time: 0.0028 memory: 425 2022/08/25 22:39:25 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:04:53 time: 0.6252 data_time: 0.0023 memory: 425 2022/08/25 22:39:28 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:04:53 time: 0.7372 data_time: 0.0340 memory: 425 2022/08/25 22:39:31 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:04:38 time: 0.6055 data_time: 0.0342 memory: 425 2022/08/25 22:39:34 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:04:38 time: 0.5353 data_time: 0.0025 memory: 425 2022/08/25 22:39:36 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:03:52 time: 0.5176 data_time: 0.0038 memory: 425 2022/08/25 22:39:39 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:03:52 time: 0.5252 data_time: 0.0037 memory: 425 2022/08/25 22:39:41 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:03:41 time: 0.5024 data_time: 0.0035 memory: 425 2022/08/25 22:39:45 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:03:41 time: 0.5938 data_time: 0.0035 memory: 425 2022/08/25 22:39:48 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:04:56 time: 0.6884 data_time: 0.0204 memory: 425 2022/08/25 22:39:51 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:04:56 time: 0.6374 data_time: 0.0233 memory: 425 2022/08/25 22:39:54 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:03:51 time: 0.5505 data_time: 0.0051 memory: 425 2022/08/25 22:39:56 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:03:51 time: 0.4294 data_time: 0.0025 memory: 425 2022/08/25 22:39:59 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:03:15 time: 0.4759 data_time: 0.0025 memory: 425 2022/08/25 22:40:01 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:03:15 time: 0.5700 data_time: 0.0053 memory: 425 2022/08/25 22:40:04 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:03:20 time: 0.5014 data_time: 0.0054 memory: 425 2022/08/25 22:40:08 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:03:20 time: 0.6182 data_time: 0.0220 memory: 425 2022/08/25 22:40:10 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:03:59 time: 0.6144 data_time: 0.0237 memory: 425 2022/08/25 22:40:12 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:03:59 time: 0.4297 data_time: 0.0041 memory: 425 2022/08/25 22:40:15 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:03:03 time: 0.4830 data_time: 0.0026 memory: 425 2022/08/25 22:40:17 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:03:03 time: 0.5051 data_time: 0.0028 memory: 425 2022/08/25 22:40:19 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:02:54 time: 0.4711 data_time: 0.0028 memory: 425 2022/08/25 22:40:21 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:02:54 time: 0.4450 data_time: 0.0029 memory: 425 2022/08/25 22:40:23 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:02:32 time: 0.4244 data_time: 0.0026 memory: 425 2022/08/25 22:40:28 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:02:32 time: 0.6511 data_time: 0.0270 memory: 425 2022/08/25 22:40:30 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:04:02 time: 0.6940 data_time: 0.0285 memory: 425 2022/08/25 22:40:33 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:04:02 time: 0.5594 data_time: 0.0037 memory: 425 2022/08/25 22:40:36 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:03:14 time: 0.5730 data_time: 0.0053 memory: 425 2022/08/25 22:40:39 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:03:14 time: 0.5720 data_time: 0.0080 memory: 425 2022/08/25 22:40:42 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:03:16 time: 0.5953 data_time: 0.0050 memory: 425 2022/08/25 22:40:46 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:03:16 time: 0.6514 data_time: 0.0079 memory: 425 2022/08/25 22:40:48 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:03:14 time: 0.6074 data_time: 0.0102 memory: 425 2022/08/25 22:40:51 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:03:14 time: 0.5580 data_time: 0.0046 memory: 425 2022/08/25 22:40:54 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:03:04 time: 0.5957 data_time: 0.0027 memory: 425 2022/08/25 22:40:56 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:03:04 time: 0.5176 data_time: 0.0085 memory: 425 2022/08/25 22:40:59 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:02:36 time: 0.5227 data_time: 0.0080 memory: 425 2022/08/25 22:41:01 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:02:36 time: 0.5062 data_time: 0.0021 memory: 425 2022/08/25 22:41:04 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:02:18 time: 0.4785 data_time: 0.0021 memory: 425 2022/08/25 22:41:08 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:02:18 time: 0.6544 data_time: 0.0463 memory: 425 2022/08/25 22:41:10 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:02:56 time: 0.6317 data_time: 0.0464 memory: 425 2022/08/25 22:41:13 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:02:56 time: 0.5297 data_time: 0.0022 memory: 425 2022/08/25 22:41:16 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:02:21 time: 0.5256 data_time: 0.0053 memory: 425 2022/08/25 22:41:18 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:02:21 time: 0.4591 data_time: 0.0060 memory: 425 2022/08/25 22:41:20 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:02:00 time: 0.4639 data_time: 0.0027 memory: 425 2022/08/25 22:41:22 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:02:00 time: 0.4549 data_time: 0.0025 memory: 425 2022/08/25 22:41:27 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:02:35 time: 0.6225 data_time: 0.0143 memory: 425 2022/08/25 22:41:29 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:02:35 time: 0.6358 data_time: 0.0223 memory: 425 2022/08/25 22:41:31 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:01:50 time: 0.4595 data_time: 0.0106 memory: 425 2022/08/25 22:41:33 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:01:50 time: 0.4564 data_time: 0.0021 memory: 425 2022/08/25 22:41:36 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:02:01 time: 0.5288 data_time: 0.0027 memory: 425 2022/08/25 22:41:39 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:02:01 time: 0.5113 data_time: 0.0028 memory: 425 2022/08/25 22:41:42 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:02:00 time: 0.5474 data_time: 0.0067 memory: 425 2022/08/25 22:41:44 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:02:00 time: 0.5751 data_time: 0.0066 memory: 425 2022/08/25 22:41:47 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:01:44 time: 0.4993 data_time: 0.0110 memory: 425 2022/08/25 22:41:49 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:01:44 time: 0.5170 data_time: 0.0112 memory: 425 2022/08/25 22:41:52 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:01:37 time: 0.4887 data_time: 0.0023 memory: 425 2022/08/25 22:41:54 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:01:37 time: 0.4499 data_time: 0.0020 memory: 425 2022/08/25 22:41:57 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:01:41 time: 0.5323 data_time: 0.0262 memory: 425 2022/08/25 22:42:00 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:01:41 time: 0.6242 data_time: 0.0276 memory: 425 2022/08/25 22:42:02 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:01:35 time: 0.5303 data_time: 0.0036 memory: 425 2022/08/25 22:42:07 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:01:35 time: 0.6723 data_time: 0.0088 memory: 425 2022/08/25 22:42:09 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:01:54 time: 0.6735 data_time: 0.0100 memory: 425 2022/08/25 22:42:11 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:01:54 time: 0.4398 data_time: 0.0035 memory: 425 2022/08/25 22:42:16 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:01:47 time: 0.6717 data_time: 0.0099 memory: 425 2022/08/25 22:42:18 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:01:47 time: 0.6988 data_time: 0.0116 memory: 425 2022/08/25 22:42:22 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:01:35 time: 0.6385 data_time: 0.0055 memory: 425 2022/08/25 22:42:25 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:01:35 time: 0.6720 data_time: 0.0228 memory: 425 2022/08/25 22:42:28 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:01:15 time: 0.5424 data_time: 0.0223 memory: 425 2022/08/25 22:42:30 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:01:15 time: 0.5034 data_time: 0.0035 memory: 425 2022/08/25 22:42:32 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:56 time: 0.4327 data_time: 0.0022 memory: 425 2022/08/25 22:42:35 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:56 time: 0.4659 data_time: 0.0021 memory: 425 2022/08/25 22:42:38 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:01:16 time: 0.6388 data_time: 0.0093 memory: 425 2022/08/25 22:42:41 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:01:16 time: 0.5860 data_time: 0.0106 memory: 425 2022/08/25 22:42:43 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:50 time: 0.4576 data_time: 0.0033 memory: 425 2022/08/25 22:42:45 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:50 time: 0.4885 data_time: 0.0036 memory: 425 2022/08/25 22:42:48 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:49 time: 0.4919 data_time: 0.0039 memory: 425 2022/08/25 22:42:51 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:49 time: 0.5167 data_time: 0.0037 memory: 425 2022/08/25 22:42:54 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:50 time: 0.5626 data_time: 0.0038 memory: 425 2022/08/25 22:42:57 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:50 time: 0.5868 data_time: 0.0251 memory: 425 2022/08/25 22:42:58 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:39 time: 0.4906 data_time: 0.0255 memory: 425 2022/08/25 22:43:01 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:39 time: 0.4482 data_time: 0.0029 memory: 425 2022/08/25 22:43:03 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:34 time: 0.4973 data_time: 0.0022 memory: 425 2022/08/25 22:43:06 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:34 time: 0.5296 data_time: 0.0033 memory: 425 2022/08/25 22:43:09 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:30 time: 0.5128 data_time: 0.0051 memory: 425 2022/08/25 22:43:11 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:30 time: 0.5047 data_time: 0.0041 memory: 425 2022/08/25 22:43:14 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:26 time: 0.5324 data_time: 0.0034 memory: 425 2022/08/25 22:43:17 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:26 time: 0.5563 data_time: 0.0059 memory: 425 2022/08/25 22:43:19 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:20 time: 0.5029 data_time: 0.0061 memory: 425 2022/08/25 22:43:21 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:20 time: 0.3891 data_time: 0.0034 memory: 425 2022/08/25 22:43:23 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:12 time: 0.4121 data_time: 0.0022 memory: 425 2022/08/25 22:43:27 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:12 time: 0.5708 data_time: 0.0076 memory: 425 2022/08/25 22:43:29 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:11 time: 0.5740 data_time: 0.0108 memory: 425 2022/08/25 22:43:31 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:11 time: 0.4607 data_time: 0.0058 memory: 425 2022/08/25 22:43:34 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:04 time: 0.4822 data_time: 0.0026 memory: 425 2022/08/25 22:43:37 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:04 time: 0.5552 data_time: 0.0164 memory: 425 2022/08/25 22:43:39 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.5139 data_time: 0.0169 memory: 425 2022/08/25 22:43:39 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 22:43:39 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0053, precision: 0.0001, hmean: 0.0001 2022/08/25 22:43:39 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:43:39 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:43:39 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:43:39 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:43:39 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:43:39 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:43:39 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.0001 icdar/recall: 0.0053 icdar/hmean: 0.0001 2022/08/25 22:43:44 - mmengine - INFO - Epoch(train) [41][5/63] lr: 6.7895e-03 eta: 0:00:00 time: 0.7353 data_time: 0.2181 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7966 loss_db: 0.3328 loss: 3.9845 2022/08/25 22:43:46 - mmengine - INFO - Epoch(train) [41][10/63] lr: 6.7895e-03 eta: 9:07:31 time: 0.6990 data_time: 0.2232 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7829 loss_db: 0.3184 loss: 3.9579 2022/08/25 22:43:48 - mmengine - INFO - Epoch(train) [41][15/63] lr: 6.7895e-03 eta: 9:07:31 time: 0.3841 data_time: 0.0199 memory: 6760 loss_prob: 2.8560 loss_thr: 0.8083 loss_db: 0.3536 loss: 4.0179 2022/08/25 22:43:50 - mmengine - INFO - Epoch(train) [41][20/63] lr: 6.7895e-03 eta: 9:07:07 time: 0.3831 data_time: 0.0155 memory: 6760 loss_prob: 2.8539 loss_thr: 0.8347 loss_db: 0.3597 loss: 4.0483 2022/08/25 22:43:52 - mmengine - INFO - Epoch(train) [41][25/63] lr: 6.7895e-03 eta: 9:07:07 time: 0.3889 data_time: 0.0228 memory: 6760 loss_prob: 2.8524 loss_thr: 0.8086 loss_db: 0.3295 loss: 3.9905 2022/08/25 22:43:54 - mmengine - INFO - Epoch(train) [41][30/63] lr: 6.7895e-03 eta: 9:06:45 time: 0.3871 data_time: 0.0248 memory: 6760 loss_prob: 2.8511 loss_thr: 0.7798 loss_db: 0.3123 loss: 3.9432 2022/08/25 22:43:58 - mmengine - INFO - Epoch(train) [41][35/63] lr: 6.7895e-03 eta: 9:06:45 time: 0.5975 data_time: 0.0691 memory: 6760 loss_prob: 2.8509 loss_thr: 0.7758 loss_db: 0.3496 loss: 3.9763 2022/08/25 22:43:59 - mmengine - INFO - Epoch(train) [41][40/63] lr: 6.7895e-03 eta: 9:07:18 time: 0.5799 data_time: 0.0616 memory: 6760 loss_prob: 2.8526 loss_thr: 0.7751 loss_db: 0.3348 loss: 3.9626 2022/08/25 22:44:01 - mmengine - INFO - Epoch(train) [41][45/63] lr: 6.7895e-03 eta: 9:07:18 time: 0.3651 data_time: 0.0164 memory: 6760 loss_prob: 2.8532 loss_thr: 0.7656 loss_db: 0.3048 loss: 3.9235 2022/08/25 22:44:03 - mmengine - INFO - Epoch(train) [41][50/63] lr: 6.7895e-03 eta: 9:06:54 time: 0.3836 data_time: 0.0270 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7586 loss_db: 0.3355 loss: 3.9468 2022/08/25 22:44:05 - mmengine - INFO - Epoch(train) [41][55/63] lr: 6.7895e-03 eta: 9:06:54 time: 0.3916 data_time: 0.0227 memory: 6760 loss_prob: 2.8616 loss_thr: 0.8045 loss_db: 0.3662 loss: 4.0324 2022/08/25 22:44:07 - mmengine - INFO - Epoch(train) [41][60/63] lr: 6.7895e-03 eta: 9:06:33 time: 0.3898 data_time: 0.0181 memory: 6760 loss_prob: 2.8590 loss_thr: 0.8028 loss_db: 0.3704 loss: 4.0322 2022/08/25 22:44:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:44:12 - mmengine - INFO - Epoch(train) [42][5/63] lr: 6.7842e-03 eta: 9:06:33 time: 0.5227 data_time: 0.1590 memory: 6760 loss_prob: 2.8477 loss_thr: 0.8155 loss_db: 0.3538 loss: 4.0170 2022/08/25 22:44:14 - mmengine - INFO - Epoch(train) [42][10/63] lr: 6.7842e-03 eta: 9:06:14 time: 0.5366 data_time: 0.1689 memory: 6760 loss_prob: 2.8476 loss_thr: 0.8124 loss_db: 0.3208 loss: 3.9808 2022/08/25 22:44:15 - mmengine - INFO - Epoch(train) [42][15/63] lr: 6.7842e-03 eta: 9:06:14 time: 0.3895 data_time: 0.0233 memory: 6760 loss_prob: 2.8464 loss_thr: 0.7947 loss_db: 0.3462 loss: 3.9874 2022/08/25 22:44:17 - mmengine - INFO - Epoch(train) [42][20/63] lr: 6.7842e-03 eta: 9:05:48 time: 0.3727 data_time: 0.0169 memory: 6760 loss_prob: 2.8476 loss_thr: 0.8028 loss_db: 0.3438 loss: 3.9942 2022/08/25 22:44:19 - mmengine - INFO - Epoch(train) [42][25/63] lr: 6.7842e-03 eta: 9:05:48 time: 0.3628 data_time: 0.0174 memory: 6760 loss_prob: 2.8492 loss_thr: 0.7847 loss_db: 0.3391 loss: 3.9730 2022/08/25 22:44:21 - mmengine - INFO - Epoch(train) [42][30/63] lr: 6.7842e-03 eta: 9:05:23 time: 0.3740 data_time: 0.0201 memory: 6760 loss_prob: 2.8517 loss_thr: 0.7720 loss_db: 0.3211 loss: 3.9447 2022/08/25 22:44:23 - mmengine - INFO - Epoch(train) [42][35/63] lr: 6.7842e-03 eta: 9:05:23 time: 0.3708 data_time: 0.0198 memory: 6760 loss_prob: 2.8514 loss_thr: 0.7795 loss_db: 0.3127 loss: 3.9436 2022/08/25 22:44:27 - mmengine - INFO - Epoch(train) [42][40/63] lr: 6.7842e-03 eta: 9:05:46 time: 0.5481 data_time: 0.0336 memory: 6760 loss_prob: 2.8512 loss_thr: 0.7665 loss_db: 0.3544 loss: 3.9721 2022/08/25 22:44:28 - mmengine - INFO - Epoch(train) [42][45/63] lr: 6.7842e-03 eta: 9:05:46 time: 0.5653 data_time: 0.0444 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7911 loss_db: 0.3434 loss: 3.9881 2022/08/25 22:44:30 - mmengine - INFO - Epoch(train) [42][50/63] lr: 6.7842e-03 eta: 9:05:25 time: 0.3891 data_time: 0.0255 memory: 6760 loss_prob: 2.8563 loss_thr: 0.8210 loss_db: 0.3347 loss: 4.0120 2022/08/25 22:44:32 - mmengine - INFO - Epoch(train) [42][55/63] lr: 6.7842e-03 eta: 9:05:25 time: 0.3786 data_time: 0.0153 memory: 6760 loss_prob: 2.8566 loss_thr: 0.8014 loss_db: 0.3274 loss: 3.9854 2022/08/25 22:44:34 - mmengine - INFO - Epoch(train) [42][60/63] lr: 6.7842e-03 eta: 9:05:02 time: 0.3827 data_time: 0.0187 memory: 6760 loss_prob: 2.8529 loss_thr: 0.7821 loss_db: 0.3334 loss: 3.9685 2022/08/25 22:44:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:44:39 - mmengine - INFO - Epoch(train) [43][5/63] lr: 6.7789e-03 eta: 9:05:02 time: 0.5556 data_time: 0.1913 memory: 6760 loss_prob: 2.8516 loss_thr: 0.7599 loss_db: 0.3487 loss: 3.9602 2022/08/25 22:44:41 - mmengine - INFO - Epoch(train) [43][10/63] lr: 6.7789e-03 eta: 9:04:41 time: 0.5257 data_time: 0.1702 memory: 6760 loss_prob: 2.8564 loss_thr: 0.8016 loss_db: 0.3737 loss: 4.0317 2022/08/25 22:44:43 - mmengine - INFO - Epoch(train) [43][15/63] lr: 6.7789e-03 eta: 9:04:41 time: 0.3856 data_time: 0.0162 memory: 6760 loss_prob: 2.8563 loss_thr: 0.8021 loss_db: 0.3631 loss: 4.0215 2022/08/25 22:44:46 - mmengine - INFO - Epoch(train) [43][20/63] lr: 6.7789e-03 eta: 9:04:43 time: 0.4731 data_time: 0.0166 memory: 6760 loss_prob: 2.8518 loss_thr: 0.8022 loss_db: 0.3443 loss: 3.9982 2022/08/25 22:44:47 - mmengine - INFO - Epoch(train) [43][25/63] lr: 6.7789e-03 eta: 9:04:43 time: 0.4663 data_time: 0.0258 memory: 6760 loss_prob: 2.8502 loss_thr: 0.8309 loss_db: 0.3510 loss: 4.0321 2022/08/25 22:44:49 - mmengine - INFO - Epoch(train) [43][30/63] lr: 6.7789e-03 eta: 9:04:19 time: 0.3741 data_time: 0.0266 memory: 6760 loss_prob: 2.8499 loss_thr: 0.7935 loss_db: 0.3538 loss: 3.9973 2022/08/25 22:44:52 - mmengine - INFO - Epoch(train) [43][35/63] lr: 6.7789e-03 eta: 9:04:19 time: 0.4436 data_time: 0.0211 memory: 6760 loss_prob: 2.8518 loss_thr: 0.8007 loss_db: 0.3661 loss: 4.0187 2022/08/25 22:44:54 - mmengine - INFO - Epoch(train) [43][40/63] lr: 6.7789e-03 eta: 9:04:10 time: 0.4329 data_time: 0.0176 memory: 6760 loss_prob: 2.8515 loss_thr: 0.8217 loss_db: 0.3765 loss: 4.0497 2022/08/25 22:44:56 - mmengine - INFO - Epoch(train) [43][45/63] lr: 6.7789e-03 eta: 9:04:10 time: 0.4456 data_time: 0.0251 memory: 6760 loss_prob: 2.8480 loss_thr: 0.7990 loss_db: 0.3610 loss: 4.0079 2022/08/25 22:44:58 - mmengine - INFO - Epoch(train) [43][50/63] lr: 6.7789e-03 eta: 9:04:10 time: 0.4636 data_time: 0.0339 memory: 6760 loss_prob: 2.8464 loss_thr: 0.7772 loss_db: 0.3234 loss: 3.9470 2022/08/25 22:45:00 - mmengine - INFO - Epoch(train) [43][55/63] lr: 6.7789e-03 eta: 9:04:10 time: 0.3901 data_time: 0.0261 memory: 6760 loss_prob: 2.8472 loss_thr: 0.7937 loss_db: 0.3237 loss: 3.9646 2022/08/25 22:45:02 - mmengine - INFO - Epoch(train) [43][60/63] lr: 6.7789e-03 eta: 9:03:49 time: 0.3872 data_time: 0.0191 memory: 6760 loss_prob: 2.8485 loss_thr: 0.8091 loss_db: 0.3315 loss: 3.9891 2022/08/25 22:45:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:45:07 - mmengine - INFO - Epoch(train) [44][5/63] lr: 6.7737e-03 eta: 9:03:49 time: 0.5420 data_time: 0.1820 memory: 6760 loss_prob: 2.8514 loss_thr: 0.7853 loss_db: 0.3305 loss: 3.9672 2022/08/25 22:45:09 - mmengine - INFO - Epoch(train) [44][10/63] lr: 6.7737e-03 eta: 9:03:36 time: 0.5565 data_time: 0.1941 memory: 6760 loss_prob: 2.8541 loss_thr: 0.8000 loss_db: 0.3422 loss: 3.9963 2022/08/25 22:45:11 - mmengine - INFO - Epoch(train) [44][15/63] lr: 6.7737e-03 eta: 9:03:36 time: 0.4018 data_time: 0.0248 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7735 loss_db: 0.3079 loss: 3.9374 2022/08/25 22:45:13 - mmengine - INFO - Epoch(train) [44][20/63] lr: 6.7737e-03 eta: 9:03:19 time: 0.3979 data_time: 0.0158 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7696 loss_db: 0.3293 loss: 3.9554 2022/08/25 22:45:16 - mmengine - INFO - Epoch(train) [44][25/63] lr: 6.7737e-03 eta: 9:03:19 time: 0.5050 data_time: 0.0342 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7907 loss_db: 0.3681 loss: 4.0144 2022/08/25 22:45:18 - mmengine - INFO - Epoch(train) [44][30/63] lr: 6.7737e-03 eta: 9:03:28 time: 0.4973 data_time: 0.0321 memory: 6760 loss_prob: 2.8530 loss_thr: 0.7661 loss_db: 0.3358 loss: 3.9548 2022/08/25 22:45:20 - mmengine - INFO - Epoch(train) [44][35/63] lr: 6.7737e-03 eta: 9:03:28 time: 0.3779 data_time: 0.0241 memory: 6760 loss_prob: 2.8521 loss_thr: 0.7415 loss_db: 0.2992 loss: 3.8927 2022/08/25 22:45:21 - mmengine - INFO - Epoch(train) [44][40/63] lr: 6.7737e-03 eta: 9:03:04 time: 0.3762 data_time: 0.0233 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7637 loss_db: 0.3009 loss: 3.9179 2022/08/25 22:45:23 - mmengine - INFO - Epoch(train) [44][45/63] lr: 6.7737e-03 eta: 9:03:04 time: 0.3707 data_time: 0.0165 memory: 6760 loss_prob: 2.8524 loss_thr: 0.7784 loss_db: 0.3216 loss: 3.9523 2022/08/25 22:45:26 - mmengine - INFO - Epoch(train) [44][50/63] lr: 6.7737e-03 eta: 9:03:03 time: 0.4603 data_time: 0.0249 memory: 6760 loss_prob: 2.8522 loss_thr: 0.7635 loss_db: 0.3203 loss: 3.9359 2022/08/25 22:45:28 - mmengine - INFO - Epoch(train) [44][55/63] lr: 6.7737e-03 eta: 9:03:03 time: 0.4547 data_time: 0.0210 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7572 loss_db: 0.3273 loss: 3.9372 2022/08/25 22:45:30 - mmengine - INFO - Epoch(train) [44][60/63] lr: 6.7737e-03 eta: 9:02:49 time: 0.4088 data_time: 0.0198 memory: 6760 loss_prob: 2.8525 loss_thr: 0.7823 loss_db: 0.3224 loss: 3.9572 2022/08/25 22:45:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:45:35 - mmengine - INFO - Epoch(train) [45][5/63] lr: 6.7684e-03 eta: 9:02:49 time: 0.5687 data_time: 0.1479 memory: 6760 loss_prob: 2.8499 loss_thr: 0.7347 loss_db: 0.2958 loss: 3.8804 2022/08/25 22:45:37 - mmengine - INFO - Epoch(train) [45][10/63] lr: 6.7684e-03 eta: 9:02:33 time: 0.5432 data_time: 0.1549 memory: 6760 loss_prob: 2.8514 loss_thr: 0.7653 loss_db: 0.3114 loss: 3.9280 2022/08/25 22:45:39 - mmengine - INFO - Epoch(train) [45][15/63] lr: 6.7684e-03 eta: 9:02:33 time: 0.3790 data_time: 0.0228 memory: 6760 loss_prob: 2.8557 loss_thr: 0.8178 loss_db: 0.3187 loss: 3.9922 2022/08/25 22:45:40 - mmengine - INFO - Epoch(train) [45][20/63] lr: 6.7684e-03 eta: 9:02:08 time: 0.3700 data_time: 0.0233 memory: 6760 loss_prob: 2.8534 loss_thr: 0.7835 loss_db: 0.3155 loss: 3.9524 2022/08/25 22:45:42 - mmengine - INFO - Epoch(train) [45][25/63] lr: 6.7684e-03 eta: 9:02:08 time: 0.3883 data_time: 0.0214 memory: 6760 loss_prob: 2.8526 loss_thr: 0.7955 loss_db: 0.3458 loss: 3.9940 2022/08/25 22:45:45 - mmengine - INFO - Epoch(train) [45][30/63] lr: 6.7684e-03 eta: 9:02:10 time: 0.4716 data_time: 0.0197 memory: 6760 loss_prob: 2.8529 loss_thr: 0.8050 loss_db: 0.3532 loss: 4.0111 2022/08/25 22:45:49 - mmengine - INFO - Epoch(train) [45][35/63] lr: 6.7684e-03 eta: 9:02:10 time: 0.6333 data_time: 0.0465 memory: 6760 loss_prob: 2.8480 loss_thr: 0.7782 loss_db: 0.3347 loss: 3.9609 2022/08/25 22:45:51 - mmengine - INFO - Epoch(train) [45][40/63] lr: 6.7684e-03 eta: 9:02:36 time: 0.5650 data_time: 0.0460 memory: 6760 loss_prob: 2.8481 loss_thr: 0.8092 loss_db: 0.3412 loss: 3.9985 2022/08/25 22:45:53 - mmengine - INFO - Epoch(train) [45][45/63] lr: 6.7684e-03 eta: 9:02:36 time: 0.3760 data_time: 0.0203 memory: 6760 loss_prob: 2.8510 loss_thr: 0.8007 loss_db: 0.3350 loss: 3.9866 2022/08/25 22:45:54 - mmengine - INFO - Epoch(train) [45][50/63] lr: 6.7684e-03 eta: 9:02:09 time: 0.3596 data_time: 0.0194 memory: 6760 loss_prob: 2.8506 loss_thr: 0.7726 loss_db: 0.3511 loss: 3.9744 2022/08/25 22:45:56 - mmengine - INFO - Epoch(train) [45][55/63] lr: 6.7684e-03 eta: 9:02:09 time: 0.3716 data_time: 0.0207 memory: 6760 loss_prob: 2.8514 loss_thr: 0.7848 loss_db: 0.3440 loss: 3.9802 2022/08/25 22:45:58 - mmengine - INFO - Epoch(train) [45][60/63] lr: 6.7684e-03 eta: 9:01:49 time: 0.3874 data_time: 0.0203 memory: 6760 loss_prob: 2.8521 loss_thr: 0.8237 loss_db: 0.3346 loss: 4.0103 2022/08/25 22:45:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:46:02 - mmengine - INFO - Epoch(train) [46][5/63] lr: 6.7631e-03 eta: 9:01:49 time: 0.4970 data_time: 0.1565 memory: 6760 loss_prob: 2.8497 loss_thr: 0.7794 loss_db: 0.3241 loss: 3.9532 2022/08/25 22:46:06 - mmengine - INFO - Epoch(train) [46][10/63] lr: 6.7631e-03 eta: 9:02:05 time: 0.6662 data_time: 0.1737 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7578 loss_db: 0.3132 loss: 3.9236 2022/08/25 22:46:08 - mmengine - INFO - Epoch(train) [46][15/63] lr: 6.7631e-03 eta: 9:02:05 time: 0.5382 data_time: 0.0397 memory: 6760 loss_prob: 2.8553 loss_thr: 0.7963 loss_db: 0.3267 loss: 3.9783 2022/08/25 22:46:10 - mmengine - INFO - Epoch(train) [46][20/63] lr: 6.7631e-03 eta: 9:01:45 time: 0.3862 data_time: 0.0325 memory: 6760 loss_prob: 2.8530 loss_thr: 0.7731 loss_db: 0.3108 loss: 3.9368 2022/08/25 22:46:12 - mmengine - INFO - Epoch(train) [46][25/63] lr: 6.7631e-03 eta: 9:01:45 time: 0.4189 data_time: 0.0238 memory: 6760 loss_prob: 2.8521 loss_thr: 0.7620 loss_db: 0.3213 loss: 3.9354 2022/08/25 22:46:14 - mmengine - INFO - Epoch(train) [46][30/63] lr: 6.7631e-03 eta: 9:01:35 time: 0.4252 data_time: 0.0169 memory: 6760 loss_prob: 2.8544 loss_thr: 0.7778 loss_db: 0.3253 loss: 3.9575 2022/08/25 22:46:17 - mmengine - INFO - Epoch(train) [46][35/63] lr: 6.7631e-03 eta: 9:01:35 time: 0.4820 data_time: 0.0324 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7587 loss_db: 0.2995 loss: 3.9137 2022/08/25 22:46:19 - mmengine - INFO - Epoch(train) [46][40/63] lr: 6.7631e-03 eta: 9:01:37 time: 0.4706 data_time: 0.0295 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7602 loss_db: 0.3130 loss: 3.9290 2022/08/25 22:46:21 - mmengine - INFO - Epoch(train) [46][45/63] lr: 6.7631e-03 eta: 9:01:37 time: 0.3651 data_time: 0.0186 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7579 loss_db: 0.3047 loss: 3.9185 2022/08/25 22:46:22 - mmengine - INFO - Epoch(train) [46][50/63] lr: 6.7631e-03 eta: 9:01:10 time: 0.3587 data_time: 0.0219 memory: 6760 loss_prob: 2.8553 loss_thr: 0.7458 loss_db: 0.3028 loss: 3.9040 2022/08/25 22:46:24 - mmengine - INFO - Epoch(train) [46][55/63] lr: 6.7631e-03 eta: 9:01:10 time: 0.3546 data_time: 0.0161 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7530 loss_db: 0.3124 loss: 3.9204 2022/08/25 22:46:27 - mmengine - INFO - Epoch(train) [46][60/63] lr: 6.7631e-03 eta: 9:01:24 time: 0.5177 data_time: 0.0285 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7630 loss_db: 0.2938 loss: 3.9119 2022/08/25 22:46:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:46:32 - mmengine - INFO - Epoch(train) [47][5/63] lr: 6.7578e-03 eta: 9:01:24 time: 0.5334 data_time: 0.1703 memory: 6760 loss_prob: 2.8551 loss_thr: 0.8026 loss_db: 0.3357 loss: 3.9933 2022/08/25 22:46:34 - mmengine - INFO - Epoch(train) [47][10/63] lr: 6.7578e-03 eta: 9:01:08 time: 0.5428 data_time: 0.1799 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7548 loss_db: 0.3067 loss: 3.9169 2022/08/25 22:46:36 - mmengine - INFO - Epoch(train) [47][15/63] lr: 6.7578e-03 eta: 9:01:08 time: 0.3816 data_time: 0.0232 memory: 6760 loss_prob: 2.8548 loss_thr: 0.7350 loss_db: 0.2988 loss: 3.8885 2022/08/25 22:46:38 - mmengine - INFO - Epoch(train) [47][20/63] lr: 6.7578e-03 eta: 9:00:51 time: 0.3936 data_time: 0.0269 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7680 loss_db: 0.3154 loss: 3.9384 2022/08/25 22:46:40 - mmengine - INFO - Epoch(train) [47][25/63] lr: 6.7578e-03 eta: 9:00:51 time: 0.3814 data_time: 0.0242 memory: 6760 loss_prob: 2.8566 loss_thr: 0.8031 loss_db: 0.3324 loss: 3.9921 2022/08/25 22:46:42 - mmengine - INFO - Epoch(train) [47][30/63] lr: 6.7578e-03 eta: 9:00:28 time: 0.3711 data_time: 0.0172 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7894 loss_db: 0.3196 loss: 3.9675 2022/08/25 22:46:43 - mmengine - INFO - Epoch(train) [47][35/63] lr: 6.7578e-03 eta: 9:00:28 time: 0.3668 data_time: 0.0197 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7541 loss_db: 0.3242 loss: 3.9360 2022/08/25 22:46:48 - mmengine - INFO - Epoch(train) [47][40/63] lr: 6.7578e-03 eta: 9:01:15 time: 0.6563 data_time: 0.0174 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7397 loss_db: 0.3287 loss: 3.9248 2022/08/25 22:46:50 - mmengine - INFO - Epoch(train) [47][45/63] lr: 6.7578e-03 eta: 9:01:15 time: 0.6793 data_time: 0.0325 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7589 loss_db: 0.2936 loss: 3.9089 2022/08/25 22:46:52 - mmengine - INFO - Epoch(train) [47][50/63] lr: 6.7578e-03 eta: 9:00:57 time: 0.3934 data_time: 0.0302 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7598 loss_db: 0.2863 loss: 3.9012 2022/08/25 22:46:54 - mmengine - INFO - Epoch(train) [47][55/63] lr: 6.7578e-03 eta: 9:00:57 time: 0.3741 data_time: 0.0159 memory: 6760 loss_prob: 2.8542 loss_thr: 0.7590 loss_db: 0.3153 loss: 3.9285 2022/08/25 22:46:56 - mmengine - INFO - Epoch(train) [47][60/63] lr: 6.7578e-03 eta: 9:00:37 time: 0.3830 data_time: 0.0224 memory: 6760 loss_prob: 2.8546 loss_thr: 0.7684 loss_db: 0.3450 loss: 3.9680 2022/08/25 22:46:57 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:47:00 - mmengine - INFO - Epoch(train) [48][5/63] lr: 6.7526e-03 eta: 9:00:37 time: 0.5038 data_time: 0.1471 memory: 6760 loss_prob: 2.8526 loss_thr: 0.7842 loss_db: 0.3246 loss: 3.9615 2022/08/25 22:47:02 - mmengine - INFO - Epoch(train) [48][10/63] lr: 6.7526e-03 eta: 9:00:18 time: 0.5256 data_time: 0.1620 memory: 6760 loss_prob: 2.8511 loss_thr: 0.7718 loss_db: 0.3312 loss: 3.9542 2022/08/25 22:47:04 - mmengine - INFO - Epoch(train) [48][15/63] lr: 6.7526e-03 eta: 9:00:18 time: 0.3766 data_time: 0.0257 memory: 6760 loss_prob: 2.8509 loss_thr: 0.7501 loss_db: 0.3273 loss: 3.9283 2022/08/25 22:47:07 - mmengine - INFO - Epoch(train) [48][20/63] lr: 6.7526e-03 eta: 9:00:15 time: 0.4537 data_time: 0.0310 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7691 loss_db: 0.3108 loss: 3.9326 2022/08/25 22:47:09 - mmengine - INFO - Epoch(train) [48][25/63] lr: 6.7526e-03 eta: 9:00:15 time: 0.4711 data_time: 0.0391 memory: 6760 loss_prob: 2.8548 loss_thr: 0.7863 loss_db: 0.3285 loss: 3.9696 2022/08/25 22:47:11 - mmengine - INFO - Epoch(train) [48][30/63] lr: 6.7526e-03 eta: 8:59:57 time: 0.3902 data_time: 0.0185 memory: 6760 loss_prob: 2.8548 loss_thr: 0.8021 loss_db: 0.3292 loss: 3.9862 2022/08/25 22:47:13 - mmengine - INFO - Epoch(train) [48][35/63] lr: 6.7526e-03 eta: 8:59:57 time: 0.3881 data_time: 0.0220 memory: 6760 loss_prob: 2.8537 loss_thr: 0.7681 loss_db: 0.3028 loss: 3.9246 2022/08/25 22:47:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:47:15 - mmengine - INFO - Epoch(train) [48][40/63] lr: 6.7526e-03 eta: 8:59:39 time: 0.3884 data_time: 0.0246 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7600 loss_db: 0.3060 loss: 3.9217 2022/08/25 22:47:17 - mmengine - INFO - Epoch(train) [48][45/63] lr: 6.7526e-03 eta: 8:59:39 time: 0.4010 data_time: 0.0244 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7686 loss_db: 0.3077 loss: 3.9333 2022/08/25 22:47:18 - mmengine - INFO - Epoch(train) [48][50/63] lr: 6.7526e-03 eta: 8:59:22 time: 0.3937 data_time: 0.0274 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7621 loss_db: 0.3043 loss: 3.9219 2022/08/25 22:47:20 - mmengine - INFO - Epoch(train) [48][55/63] lr: 6.7526e-03 eta: 8:59:22 time: 0.3682 data_time: 0.0177 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7627 loss_db: 0.2980 loss: 3.9152 2022/08/25 22:47:22 - mmengine - INFO - Epoch(train) [48][60/63] lr: 6.7526e-03 eta: 8:59:00 time: 0.3756 data_time: 0.0164 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7479 loss_db: 0.2843 loss: 3.8869 2022/08/25 22:47:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:47:27 - mmengine - INFO - Epoch(train) [49][5/63] lr: 6.7473e-03 eta: 8:59:00 time: 0.5964 data_time: 0.2075 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7834 loss_db: 0.3167 loss: 3.9573 2022/08/25 22:47:29 - mmengine - INFO - Epoch(train) [49][10/63] lr: 6.7473e-03 eta: 8:59:03 time: 0.6141 data_time: 0.2145 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7735 loss_db: 0.3564 loss: 3.9879 2022/08/25 22:47:31 - mmengine - INFO - Epoch(train) [49][15/63] lr: 6.7473e-03 eta: 8:59:03 time: 0.3844 data_time: 0.0215 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7641 loss_db: 0.3369 loss: 3.9592 2022/08/25 22:47:33 - mmengine - INFO - Epoch(train) [49][20/63] lr: 6.7473e-03 eta: 8:58:42 time: 0.3760 data_time: 0.0131 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7840 loss_db: 0.3060 loss: 3.9470 2022/08/25 22:47:36 - mmengine - INFO - Epoch(train) [49][25/63] lr: 6.7473e-03 eta: 8:58:42 time: 0.4733 data_time: 0.0310 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7585 loss_db: 0.2968 loss: 3.9103 2022/08/25 22:47:38 - mmengine - INFO - Epoch(train) [49][30/63] lr: 6.7473e-03 eta: 8:58:44 time: 0.4740 data_time: 0.0266 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7451 loss_db: 0.3021 loss: 3.9031 2022/08/25 22:47:40 - mmengine - INFO - Epoch(train) [49][35/63] lr: 6.7473e-03 eta: 8:58:44 time: 0.3868 data_time: 0.0208 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7719 loss_db: 0.3057 loss: 3.9325 2022/08/25 22:47:42 - mmengine - INFO - Epoch(train) [49][40/63] lr: 6.7473e-03 eta: 8:58:25 time: 0.3819 data_time: 0.0229 memory: 6760 loss_prob: 2.8523 loss_thr: 0.7726 loss_db: 0.2943 loss: 3.9193 2022/08/25 22:47:44 - mmengine - INFO - Epoch(train) [49][45/63] lr: 6.7473e-03 eta: 8:58:25 time: 0.3654 data_time: 0.0165 memory: 6760 loss_prob: 2.8529 loss_thr: 0.7869 loss_db: 0.3334 loss: 3.9733 2022/08/25 22:47:46 - mmengine - INFO - Epoch(train) [49][50/63] lr: 6.7473e-03 eta: 8:58:14 time: 0.4192 data_time: 0.0441 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7787 loss_db: 0.3247 loss: 3.9581 2022/08/25 22:47:49 - mmengine - INFO - Epoch(train) [49][55/63] lr: 6.7473e-03 eta: 8:58:14 time: 0.5036 data_time: 0.0412 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7728 loss_db: 0.2939 loss: 3.9233 2022/08/25 22:47:50 - mmengine - INFO - Epoch(train) [49][60/63] lr: 6.7473e-03 eta: 8:58:10 time: 0.4472 data_time: 0.0155 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7945 loss_db: 0.3137 loss: 3.9648 2022/08/25 22:47:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:47:55 - mmengine - INFO - Epoch(train) [50][5/63] lr: 6.7420e-03 eta: 8:58:10 time: 0.5071 data_time: 0.1494 memory: 6760 loss_prob: 2.8537 loss_thr: 0.7280 loss_db: 0.3110 loss: 3.8928 2022/08/25 22:47:57 - mmengine - INFO - Epoch(train) [50][10/63] lr: 6.7420e-03 eta: 8:57:58 time: 0.5526 data_time: 0.1739 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7633 loss_db: 0.3158 loss: 3.9354 2022/08/25 22:47:59 - mmengine - INFO - Epoch(train) [50][15/63] lr: 6.7420e-03 eta: 8:57:58 time: 0.4017 data_time: 0.0350 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7788 loss_db: 0.2909 loss: 3.9271 2022/08/25 22:48:01 - mmengine - INFO - Epoch(train) [50][20/63] lr: 6.7420e-03 eta: 8:57:38 time: 0.3772 data_time: 0.0138 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7627 loss_db: 0.2949 loss: 3.9119 2022/08/25 22:48:03 - mmengine - INFO - Epoch(train) [50][25/63] lr: 6.7420e-03 eta: 8:57:38 time: 0.3883 data_time: 0.0208 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7600 loss_db: 0.3104 loss: 3.9247 2022/08/25 22:48:06 - mmengine - INFO - Epoch(train) [50][30/63] lr: 6.7420e-03 eta: 8:57:50 time: 0.5166 data_time: 0.0170 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7760 loss_db: 0.3078 loss: 3.9403 2022/08/25 22:48:08 - mmengine - INFO - Epoch(train) [50][35/63] lr: 6.7420e-03 eta: 8:57:50 time: 0.5258 data_time: 0.0264 memory: 6760 loss_prob: 2.8577 loss_thr: 0.8063 loss_db: 0.3351 loss: 3.9991 2022/08/25 22:48:10 - mmengine - INFO - Epoch(train) [50][40/63] lr: 6.7420e-03 eta: 8:57:33 time: 0.3916 data_time: 0.0293 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7935 loss_db: 0.3436 loss: 3.9948 2022/08/25 22:48:12 - mmengine - INFO - Epoch(train) [50][45/63] lr: 6.7420e-03 eta: 8:57:33 time: 0.3732 data_time: 0.0163 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7394 loss_db: 0.2969 loss: 3.8943 2022/08/25 22:48:14 - mmengine - INFO - Epoch(train) [50][50/63] lr: 6.7420e-03 eta: 8:57:13 time: 0.3781 data_time: 0.0200 memory: 6760 loss_prob: 2.8611 loss_thr: 0.7721 loss_db: 0.3081 loss: 3.9413 2022/08/25 22:48:16 - mmengine - INFO - Epoch(train) [50][55/63] lr: 6.7420e-03 eta: 8:57:13 time: 0.4290 data_time: 0.0234 memory: 6760 loss_prob: 2.8605 loss_thr: 0.8135 loss_db: 0.3430 loss: 4.0169 2022/08/25 22:48:18 - mmengine - INFO - Epoch(train) [50][60/63] lr: 6.7420e-03 eta: 8:57:05 time: 0.4284 data_time: 0.0296 memory: 6760 loss_prob: 2.8555 loss_thr: 0.8063 loss_db: 0.3342 loss: 3.9960 2022/08/25 22:48:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:48:22 - mmengine - INFO - Epoch(train) [51][5/63] lr: 6.7367e-03 eta: 8:57:05 time: 0.4959 data_time: 0.1558 memory: 6760 loss_prob: 2.8521 loss_thr: 0.7800 loss_db: 0.3149 loss: 3.9469 2022/08/25 22:48:24 - mmengine - INFO - Epoch(train) [51][10/63] lr: 6.7367e-03 eta: 8:56:46 time: 0.5222 data_time: 0.1645 memory: 6760 loss_prob: 2.8541 loss_thr: 0.8003 loss_db: 0.3078 loss: 3.9622 2022/08/25 22:48:27 - mmengine - INFO - Epoch(train) [51][15/63] lr: 6.7367e-03 eta: 8:56:46 time: 0.4770 data_time: 0.0248 memory: 6760 loss_prob: 2.8530 loss_thr: 0.7634 loss_db: 0.3084 loss: 3.9248 2022/08/25 22:48:29 - mmengine - INFO - Epoch(train) [51][20/63] lr: 6.7367e-03 eta: 8:56:50 time: 0.4807 data_time: 0.0278 memory: 6760 loss_prob: 2.8531 loss_thr: 0.7477 loss_db: 0.3097 loss: 3.9105 2022/08/25 22:48:31 - mmengine - INFO - Epoch(train) [51][25/63] lr: 6.7367e-03 eta: 8:56:50 time: 0.3785 data_time: 0.0256 memory: 6760 loss_prob: 2.8553 loss_thr: 0.8059 loss_db: 0.3116 loss: 3.9728 2022/08/25 22:48:33 - mmengine - INFO - Epoch(train) [51][30/63] lr: 6.7367e-03 eta: 8:56:28 time: 0.3662 data_time: 0.0164 memory: 6760 loss_prob: 2.8529 loss_thr: 0.7952 loss_db: 0.3296 loss: 3.9777 2022/08/25 22:48:35 - mmengine - INFO - Epoch(train) [51][35/63] lr: 6.7367e-03 eta: 8:56:28 time: 0.3838 data_time: 0.0221 memory: 6760 loss_prob: 2.8500 loss_thr: 0.7638 loss_db: 0.3207 loss: 3.9345 2022/08/25 22:48:37 - mmengine - INFO - Epoch(train) [51][40/63] lr: 6.7367e-03 eta: 8:56:34 time: 0.4928 data_time: 0.0428 memory: 6760 loss_prob: 2.8516 loss_thr: 0.7482 loss_db: 0.2940 loss: 3.8938 2022/08/25 22:48:40 - mmengine - INFO - Epoch(train) [51][45/63] lr: 6.7367e-03 eta: 8:56:34 time: 0.4989 data_time: 0.0456 memory: 6760 loss_prob: 2.8521 loss_thr: 0.7501 loss_db: 0.3059 loss: 3.9081 2022/08/25 22:48:42 - mmengine - INFO - Epoch(train) [51][50/63] lr: 6.7367e-03 eta: 8:56:24 time: 0.4179 data_time: 0.0292 memory: 6760 loss_prob: 2.8513 loss_thr: 0.7895 loss_db: 0.3264 loss: 3.9672 2022/08/25 22:48:43 - mmengine - INFO - Epoch(train) [51][55/63] lr: 6.7367e-03 eta: 8:56:24 time: 0.3887 data_time: 0.0178 memory: 6760 loss_prob: 2.8516 loss_thr: 0.7916 loss_db: 0.3173 loss: 3.9605 2022/08/25 22:48:46 - mmengine - INFO - Epoch(train) [51][60/63] lr: 6.7367e-03 eta: 8:56:13 time: 0.4153 data_time: 0.0167 memory: 6760 loss_prob: 2.8523 loss_thr: 0.7744 loss_db: 0.3272 loss: 3.9540 2022/08/25 22:48:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:48:50 - mmengine - INFO - Epoch(train) [52][5/63] lr: 6.7315e-03 eta: 8:56:13 time: 0.5552 data_time: 0.1682 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7671 loss_db: 0.2969 loss: 3.9173 2022/08/25 22:48:52 - mmengine - INFO - Epoch(train) [52][10/63] lr: 6.7315e-03 eta: 8:55:57 time: 0.5318 data_time: 0.1864 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7694 loss_db: 0.3038 loss: 3.9278 2022/08/25 22:48:54 - mmengine - INFO - Epoch(train) [52][15/63] lr: 6.7315e-03 eta: 8:55:57 time: 0.3747 data_time: 0.0321 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7382 loss_db: 0.2961 loss: 3.8894 2022/08/25 22:48:56 - mmengine - INFO - Epoch(train) [52][20/63] lr: 6.7315e-03 eta: 8:55:39 time: 0.3859 data_time: 0.0150 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7475 loss_db: 0.2853 loss: 3.8890 2022/08/25 22:48:58 - mmengine - INFO - Epoch(train) [52][25/63] lr: 6.7315e-03 eta: 8:55:39 time: 0.4022 data_time: 0.0224 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7765 loss_db: 0.3209 loss: 3.9552 2022/08/25 22:49:00 - mmengine - INFO - Epoch(train) [52][30/63] lr: 6.7315e-03 eta: 8:55:21 time: 0.3822 data_time: 0.0167 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7495 loss_db: 0.3054 loss: 3.9120 2022/08/25 22:49:02 - mmengine - INFO - Epoch(train) [52][35/63] lr: 6.7315e-03 eta: 8:55:21 time: 0.3764 data_time: 0.0163 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7513 loss_db: 0.3366 loss: 3.9439 2022/08/25 22:49:04 - mmengine - INFO - Epoch(train) [52][40/63] lr: 6.7315e-03 eta: 8:55:01 time: 0.3750 data_time: 0.0232 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7607 loss_db: 0.3326 loss: 3.9498 2022/08/25 22:49:07 - mmengine - INFO - Epoch(train) [52][45/63] lr: 6.7315e-03 eta: 8:55:01 time: 0.5565 data_time: 0.0231 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7493 loss_db: 0.2933 loss: 3.8977 2022/08/25 22:49:09 - mmengine - INFO - Epoch(train) [52][50/63] lr: 6.7315e-03 eta: 8:55:25 time: 0.5715 data_time: 0.0303 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7800 loss_db: 0.3067 loss: 3.9403 2022/08/25 22:49:11 - mmengine - INFO - Epoch(train) [52][55/63] lr: 6.7315e-03 eta: 8:55:25 time: 0.3893 data_time: 0.0241 memory: 6760 loss_prob: 2.8536 loss_thr: 0.8239 loss_db: 0.3160 loss: 3.9935 2022/08/25 22:49:13 - mmengine - INFO - Epoch(train) [52][60/63] lr: 6.7315e-03 eta: 8:55:02 time: 0.3608 data_time: 0.0146 memory: 6760 loss_prob: 2.8544 loss_thr: 0.8076 loss_db: 0.3267 loss: 3.9887 2022/08/25 22:49:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:49:18 - mmengine - INFO - Epoch(train) [53][5/63] lr: 6.7262e-03 eta: 8:55:02 time: 0.5367 data_time: 0.1882 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7407 loss_db: 0.2944 loss: 3.8903 2022/08/25 22:49:20 - mmengine - INFO - Epoch(train) [53][10/63] lr: 6.7262e-03 eta: 8:54:54 time: 0.5642 data_time: 0.1986 memory: 6760 loss_prob: 2.8535 loss_thr: 0.7407 loss_db: 0.3019 loss: 3.8961 2022/08/25 22:49:21 - mmengine - INFO - Epoch(train) [53][15/63] lr: 6.7262e-03 eta: 8:54:54 time: 0.3782 data_time: 0.0245 memory: 6760 loss_prob: 2.8546 loss_thr: 0.7515 loss_db: 0.2944 loss: 3.9004 2022/08/25 22:49:23 - mmengine - INFO - Epoch(train) [53][20/63] lr: 6.7262e-03 eta: 8:54:35 time: 0.3768 data_time: 0.0129 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7641 loss_db: 0.2921 loss: 3.9129 2022/08/25 22:49:27 - mmengine - INFO - Epoch(train) [53][25/63] lr: 6.7262e-03 eta: 8:54:35 time: 0.5805 data_time: 0.0699 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7629 loss_db: 0.2916 loss: 3.9110 2022/08/25 22:49:29 - mmengine - INFO - Epoch(train) [53][30/63] lr: 6.7262e-03 eta: 8:54:55 time: 0.5584 data_time: 0.0664 memory: 6760 loss_prob: 2.8553 loss_thr: 0.7376 loss_db: 0.2959 loss: 3.8888 2022/08/25 22:49:31 - mmengine - INFO - Epoch(train) [53][35/63] lr: 6.7262e-03 eta: 8:54:55 time: 0.4047 data_time: 0.0533 memory: 6760 loss_prob: 2.8561 loss_thr: 0.7427 loss_db: 0.2942 loss: 3.8930 2022/08/25 22:49:33 - mmengine - INFO - Epoch(train) [53][40/63] lr: 6.7262e-03 eta: 8:54:45 time: 0.4187 data_time: 0.0542 memory: 6760 loss_prob: 2.8584 loss_thr: 0.7542 loss_db: 0.2958 loss: 3.9084 2022/08/25 22:49:35 - mmengine - INFO - Epoch(train) [53][45/63] lr: 6.7262e-03 eta: 8:54:45 time: 0.3721 data_time: 0.0195 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7448 loss_db: 0.2932 loss: 3.8966 2022/08/25 22:49:37 - mmengine - INFO - Epoch(train) [53][50/63] lr: 6.7262e-03 eta: 8:54:28 time: 0.3823 data_time: 0.0300 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7690 loss_db: 0.2949 loss: 3.9208 2022/08/25 22:49:39 - mmengine - INFO - Epoch(train) [53][55/63] lr: 6.7262e-03 eta: 8:54:28 time: 0.3908 data_time: 0.0231 memory: 6760 loss_prob: 2.8557 loss_thr: 0.8049 loss_db: 0.3405 loss: 4.0010 2022/08/25 22:49:41 - mmengine - INFO - Epoch(train) [53][60/63] lr: 6.7262e-03 eta: 8:54:07 time: 0.3717 data_time: 0.0167 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7756 loss_db: 0.3419 loss: 3.9739 2022/08/25 22:49:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:49:46 - mmengine - INFO - Epoch(train) [54][5/63] lr: 6.7209e-03 eta: 8:54:07 time: 0.5541 data_time: 0.1530 memory: 6760 loss_prob: 2.8614 loss_thr: 0.7640 loss_db: 0.3013 loss: 3.9267 2022/08/25 22:49:48 - mmengine - INFO - Epoch(train) [54][10/63] lr: 6.7209e-03 eta: 8:54:02 time: 0.5796 data_time: 0.1724 memory: 6760 loss_prob: 2.8621 loss_thr: 0.7792 loss_db: 0.2912 loss: 3.9325 2022/08/25 22:49:49 - mmengine - INFO - Epoch(train) [54][15/63] lr: 6.7209e-03 eta: 8:54:02 time: 0.3697 data_time: 0.0269 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7477 loss_db: 0.2974 loss: 3.9041 2022/08/25 22:49:51 - mmengine - INFO - Epoch(train) [54][20/63] lr: 6.7209e-03 eta: 8:53:39 time: 0.3557 data_time: 0.0137 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7344 loss_db: 0.3076 loss: 3.8983 2022/08/25 22:49:53 - mmengine - INFO - Epoch(train) [54][25/63] lr: 6.7209e-03 eta: 8:53:39 time: 0.4170 data_time: 0.0225 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7626 loss_db: 0.3017 loss: 3.9200 2022/08/25 22:49:56 - mmengine - INFO - Epoch(train) [54][30/63] lr: 6.7209e-03 eta: 8:53:50 time: 0.5143 data_time: 0.0242 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7874 loss_db: 0.3084 loss: 3.9525 2022/08/25 22:49:58 - mmengine - INFO - Epoch(train) [54][35/63] lr: 6.7209e-03 eta: 8:53:50 time: 0.4682 data_time: 0.0302 memory: 6760 loss_prob: 2.8872 loss_thr: 0.7836 loss_db: 0.3368 loss: 4.0077 2022/08/25 22:50:00 - mmengine - INFO - Epoch(train) [54][40/63] lr: 6.7209e-03 eta: 8:53:28 time: 0.3639 data_time: 0.0250 memory: 6760 loss_prob: 2.8867 loss_thr: 0.7893 loss_db: 0.3265 loss: 4.0025 2022/08/25 22:50:02 - mmengine - INFO - Epoch(train) [54][45/63] lr: 6.7209e-03 eta: 8:53:28 time: 0.3755 data_time: 0.0181 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7950 loss_db: 0.3208 loss: 3.9691 2022/08/25 22:50:04 - mmengine - INFO - Epoch(train) [54][50/63] lr: 6.7209e-03 eta: 8:53:13 time: 0.3902 data_time: 0.0231 memory: 6760 loss_prob: 2.8495 loss_thr: 0.7575 loss_db: 0.3175 loss: 3.9244 2022/08/25 22:50:06 - mmengine - INFO - Epoch(train) [54][55/63] lr: 6.7209e-03 eta: 8:53:13 time: 0.4315 data_time: 0.0208 memory: 6760 loss_prob: 2.8497 loss_thr: 0.7468 loss_db: 0.2849 loss: 3.8814 2022/08/25 22:50:09 - mmengine - INFO - Epoch(train) [54][60/63] lr: 6.7209e-03 eta: 8:53:20 time: 0.4987 data_time: 0.0290 memory: 6760 loss_prob: 2.8491 loss_thr: 0.7894 loss_db: 0.3283 loss: 3.9668 2022/08/25 22:50:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:50:13 - mmengine - INFO - Epoch(train) [55][5/63] lr: 6.7156e-03 eta: 8:53:20 time: 0.5223 data_time: 0.1752 memory: 6760 loss_prob: 2.8503 loss_thr: 0.8015 loss_db: 0.3098 loss: 3.9617 2022/08/25 22:50:15 - mmengine - INFO - Epoch(train) [55][10/63] lr: 6.7156e-03 eta: 8:53:09 time: 0.5519 data_time: 0.1817 memory: 6760 loss_prob: 2.8512 loss_thr: 0.7990 loss_db: 0.3072 loss: 3.9574 2022/08/25 22:50:17 - mmengine - INFO - Epoch(train) [55][15/63] lr: 6.7156e-03 eta: 8:53:09 time: 0.3868 data_time: 0.0197 memory: 6760 loss_prob: 2.8518 loss_thr: 0.7680 loss_db: 0.3186 loss: 3.9384 2022/08/25 22:50:19 - mmengine - INFO - Epoch(train) [55][20/63] lr: 6.7156e-03 eta: 8:52:49 time: 0.3705 data_time: 0.0124 memory: 6760 loss_prob: 2.8524 loss_thr: 0.7342 loss_db: 0.3103 loss: 3.8969 2022/08/25 22:50:21 - mmengine - INFO - Epoch(train) [55][25/63] lr: 6.7156e-03 eta: 8:52:49 time: 0.3863 data_time: 0.0216 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7359 loss_db: 0.2877 loss: 3.8777 2022/08/25 22:50:23 - mmengine - INFO - Epoch(train) [55][30/63] lr: 6.7156e-03 eta: 8:52:31 time: 0.3769 data_time: 0.0220 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7570 loss_db: 0.2886 loss: 3.9012 2022/08/25 22:50:25 - mmengine - INFO - Epoch(train) [55][35/63] lr: 6.7156e-03 eta: 8:52:31 time: 0.3985 data_time: 0.0213 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7657 loss_db: 0.3104 loss: 3.9321 2022/08/25 22:50:28 - mmengine - INFO - Epoch(train) [55][40/63] lr: 6.7156e-03 eta: 8:52:36 time: 0.4850 data_time: 0.0447 memory: 6760 loss_prob: 2.8584 loss_thr: 0.7857 loss_db: 0.3055 loss: 3.9497 2022/08/25 22:50:30 - mmengine - INFO - Epoch(train) [55][45/63] lr: 6.7156e-03 eta: 8:52:36 time: 0.4588 data_time: 0.0412 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7537 loss_db: 0.3001 loss: 3.9133 2022/08/25 22:50:32 - mmengine - INFO - Epoch(train) [55][50/63] lr: 6.7156e-03 eta: 8:52:19 time: 0.3871 data_time: 0.0255 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7291 loss_db: 0.3086 loss: 3.8973 2022/08/25 22:50:33 - mmengine - INFO - Epoch(train) [55][55/63] lr: 6.7156e-03 eta: 8:52:19 time: 0.3842 data_time: 0.0225 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7488 loss_db: 0.3033 loss: 3.9107 2022/08/25 22:50:35 - mmengine - INFO - Epoch(train) [55][60/63] lr: 6.7156e-03 eta: 8:52:04 time: 0.3885 data_time: 0.0197 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7430 loss_db: 0.2946 loss: 3.8938 2022/08/25 22:50:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:50:40 - mmengine - INFO - Epoch(train) [56][5/63] lr: 6.7103e-03 eta: 8:52:04 time: 0.5074 data_time: 0.1607 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7964 loss_db: 0.3179 loss: 3.9707 2022/08/25 22:50:42 - mmengine - INFO - Epoch(train) [56][10/63] lr: 6.7103e-03 eta: 8:51:49 time: 0.5324 data_time: 0.1667 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7891 loss_db: 0.3151 loss: 3.9607 2022/08/25 22:50:44 - mmengine - INFO - Epoch(train) [56][15/63] lr: 6.7103e-03 eta: 8:51:49 time: 0.3797 data_time: 0.0204 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7641 loss_db: 0.3070 loss: 3.9289 2022/08/25 22:50:46 - mmengine - INFO - Epoch(train) [56][20/63] lr: 6.7103e-03 eta: 8:51:43 time: 0.4319 data_time: 0.0342 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7497 loss_db: 0.3069 loss: 3.9133 2022/08/25 22:50:48 - mmengine - INFO - Epoch(train) [56][25/63] lr: 6.7103e-03 eta: 8:51:43 time: 0.4714 data_time: 0.0329 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7710 loss_db: 0.3208 loss: 3.9460 2022/08/25 22:50:50 - mmengine - INFO - Epoch(train) [56][30/63] lr: 6.7103e-03 eta: 8:51:31 time: 0.4096 data_time: 0.0153 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7819 loss_db: 0.3173 loss: 3.9525 2022/08/25 22:50:52 - mmengine - INFO - Epoch(train) [56][35/63] lr: 6.7103e-03 eta: 8:51:31 time: 0.3895 data_time: 0.0284 memory: 6760 loss_prob: 2.8538 loss_thr: 0.7533 loss_db: 0.2903 loss: 3.8973 2022/08/25 22:50:54 - mmengine - INFO - Epoch(train) [56][40/63] lr: 6.7103e-03 eta: 8:51:15 time: 0.3851 data_time: 0.0229 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7498 loss_db: 0.3011 loss: 3.9073 2022/08/25 22:50:56 - mmengine - INFO - Epoch(train) [56][45/63] lr: 6.7103e-03 eta: 8:51:15 time: 0.3849 data_time: 0.0163 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7773 loss_db: 0.3351 loss: 3.9692 2022/08/25 22:50:58 - mmengine - INFO - Epoch(train) [56][50/63] lr: 6.7103e-03 eta: 8:51:00 time: 0.3907 data_time: 0.0218 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7837 loss_db: 0.3236 loss: 3.9614 2022/08/25 22:51:00 - mmengine - INFO - Epoch(train) [56][55/63] lr: 6.7103e-03 eta: 8:51:00 time: 0.3720 data_time: 0.0173 memory: 6760 loss_prob: 2.8502 loss_thr: 0.7416 loss_db: 0.3086 loss: 3.9004 2022/08/25 22:51:02 - mmengine - INFO - Epoch(train) [56][60/63] lr: 6.7103e-03 eta: 8:50:41 time: 0.3717 data_time: 0.0191 memory: 6760 loss_prob: 2.8489 loss_thr: 0.7345 loss_db: 0.3202 loss: 3.9035 2022/08/25 22:51:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:51:07 - mmengine - INFO - Epoch(train) [57][5/63] lr: 6.7051e-03 eta: 8:50:41 time: 0.5675 data_time: 0.1485 memory: 6760 loss_prob: 2.8529 loss_thr: 0.7634 loss_db: 0.3069 loss: 3.9232 2022/08/25 22:51:09 - mmengine - INFO - Epoch(train) [57][10/63] lr: 6.7051e-03 eta: 8:50:38 time: 0.5840 data_time: 0.1534 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7669 loss_db: 0.3070 loss: 3.9290 2022/08/25 22:51:10 - mmengine - INFO - Epoch(train) [57][15/63] lr: 6.7051e-03 eta: 8:50:38 time: 0.3916 data_time: 0.0236 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7633 loss_db: 0.3172 loss: 3.9332 2022/08/25 22:51:12 - mmengine - INFO - Epoch(train) [57][20/63] lr: 6.7051e-03 eta: 8:50:19 time: 0.3707 data_time: 0.0159 memory: 6760 loss_prob: 2.8509 loss_thr: 0.7487 loss_db: 0.3146 loss: 3.9142 2022/08/25 22:51:14 - mmengine - INFO - Epoch(train) [57][25/63] lr: 6.7051e-03 eta: 8:50:19 time: 0.3680 data_time: 0.0225 memory: 6760 loss_prob: 2.8528 loss_thr: 0.7609 loss_db: 0.3330 loss: 3.9467 2022/08/25 22:51:16 - mmengine - INFO - Epoch(train) [57][30/63] lr: 6.7051e-03 eta: 8:50:05 time: 0.3972 data_time: 0.0259 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7543 loss_db: 0.3210 loss: 3.9301 2022/08/25 22:51:18 - mmengine - INFO - Epoch(train) [57][35/63] lr: 6.7051e-03 eta: 8:50:05 time: 0.3873 data_time: 0.0193 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7565 loss_db: 0.3115 loss: 3.9219 2022/08/25 22:51:20 - mmengine - INFO - Epoch(train) [57][40/63] lr: 6.7051e-03 eta: 8:49:47 time: 0.3736 data_time: 0.0161 memory: 6760 loss_prob: 2.8531 loss_thr: 0.7667 loss_db: 0.3213 loss: 3.9410 2022/08/25 22:51:22 - mmengine - INFO - Epoch(train) [57][45/63] lr: 6.7051e-03 eta: 8:49:47 time: 0.3829 data_time: 0.0205 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7430 loss_db: 0.2957 loss: 3.8932 2022/08/25 22:51:24 - mmengine - INFO - Epoch(train) [57][50/63] lr: 6.7051e-03 eta: 8:49:28 time: 0.3694 data_time: 0.0188 memory: 6760 loss_prob: 2.8557 loss_thr: 0.7757 loss_db: 0.3116 loss: 3.9430 2022/08/25 22:51:28 - mmengine - INFO - Epoch(train) [57][55/63] lr: 6.7051e-03 eta: 8:49:28 time: 0.6189 data_time: 0.0248 memory: 6760 loss_prob: 2.8559 loss_thr: 0.8029 loss_db: 0.3300 loss: 3.9889 2022/08/25 22:51:30 - mmengine - INFO - Epoch(train) [57][60/63] lr: 6.7051e-03 eta: 8:50:03 time: 0.6362 data_time: 0.0364 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7548 loss_db: 0.3261 loss: 3.9360 2022/08/25 22:51:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:51:35 - mmengine - INFO - Epoch(train) [58][5/63] lr: 6.6998e-03 eta: 8:50:03 time: 0.5218 data_time: 0.1697 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7735 loss_db: 0.3125 loss: 3.9433 2022/08/25 22:51:37 - mmengine - INFO - Epoch(train) [58][10/63] lr: 6.6998e-03 eta: 8:49:52 time: 0.5500 data_time: 0.1738 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7816 loss_db: 0.3167 loss: 3.9547 2022/08/25 22:51:38 - mmengine - INFO - Epoch(train) [58][15/63] lr: 6.6998e-03 eta: 8:49:52 time: 0.3805 data_time: 0.0240 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7752 loss_db: 0.3256 loss: 3.9544 2022/08/25 22:51:40 - mmengine - INFO - Epoch(train) [58][20/63] lr: 6.6998e-03 eta: 8:49:34 time: 0.3696 data_time: 0.0238 memory: 6760 loss_prob: 2.8535 loss_thr: 0.7856 loss_db: 0.3535 loss: 3.9926 2022/08/25 22:51:42 - mmengine - INFO - Epoch(train) [58][25/63] lr: 6.6998e-03 eta: 8:49:34 time: 0.3652 data_time: 0.0172 memory: 6760 loss_prob: 2.8540 loss_thr: 0.8094 loss_db: 0.3395 loss: 4.0028 2022/08/25 22:51:44 - mmengine - INFO - Epoch(train) [58][30/63] lr: 6.6998e-03 eta: 8:49:15 time: 0.3683 data_time: 0.0166 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7842 loss_db: 0.3253 loss: 3.9644 2022/08/25 22:51:47 - mmengine - INFO - Epoch(train) [58][35/63] lr: 6.6998e-03 eta: 8:49:15 time: 0.4942 data_time: 0.0272 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7585 loss_db: 0.3050 loss: 3.9191 2022/08/25 22:51:49 - mmengine - INFO - Epoch(train) [58][40/63] lr: 6.6998e-03 eta: 8:49:20 time: 0.4901 data_time: 0.0269 memory: 6760 loss_prob: 2.8544 loss_thr: 0.7633 loss_db: 0.3124 loss: 3.9301 2022/08/25 22:51:51 - mmengine - INFO - Epoch(train) [58][45/63] lr: 6.6998e-03 eta: 8:49:20 time: 0.3803 data_time: 0.0223 memory: 6760 loss_prob: 2.8534 loss_thr: 0.7500 loss_db: 0.3226 loss: 3.9260 2022/08/25 22:51:53 - mmengine - INFO - Epoch(train) [58][50/63] lr: 6.6998e-03 eta: 8:49:04 time: 0.3815 data_time: 0.0183 memory: 6760 loss_prob: 2.8538 loss_thr: 0.7210 loss_db: 0.2799 loss: 3.8546 2022/08/25 22:51:55 - mmengine - INFO - Epoch(train) [58][55/63] lr: 6.6998e-03 eta: 8:49:04 time: 0.3871 data_time: 0.0155 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7189 loss_db: 0.2796 loss: 3.8532 2022/08/25 22:51:57 - mmengine - INFO - Epoch(train) [58][60/63] lr: 6.6998e-03 eta: 8:49:00 time: 0.4432 data_time: 0.0244 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7127 loss_db: 0.2934 loss: 3.8611 2022/08/25 22:51:58 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:52:02 - mmengine - INFO - Epoch(train) [59][5/63] lr: 6.6945e-03 eta: 8:49:00 time: 0.5580 data_time: 0.1887 memory: 6760 loss_prob: 2.8594 loss_thr: 0.7902 loss_db: 0.3321 loss: 3.9817 2022/08/25 22:52:04 - mmengine - INFO - Epoch(train) [59][10/63] lr: 6.6945e-03 eta: 8:48:51 time: 0.5584 data_time: 0.1876 memory: 6760 loss_prob: 2.8562 loss_thr: 0.8074 loss_db: 0.3475 loss: 4.0112 2022/08/25 22:52:07 - mmengine - INFO - Epoch(train) [59][15/63] lr: 6.6945e-03 eta: 8:48:51 time: 0.4891 data_time: 0.0203 memory: 6760 loss_prob: 2.8532 loss_thr: 0.7786 loss_db: 0.3541 loss: 3.9859 2022/08/25 22:52:08 - mmengine - INFO - Epoch(train) [59][20/63] lr: 6.6945e-03 eta: 8:48:55 time: 0.4834 data_time: 0.0152 memory: 6760 loss_prob: 2.8513 loss_thr: 0.7611 loss_db: 0.3221 loss: 3.9345 2022/08/25 22:52:10 - mmengine - INFO - Epoch(train) [59][25/63] lr: 6.6945e-03 eta: 8:48:55 time: 0.3902 data_time: 0.0271 memory: 6760 loss_prob: 2.8517 loss_thr: 0.7753 loss_db: 0.3063 loss: 3.9332 2022/08/25 22:52:12 - mmengine - INFO - Epoch(train) [59][30/63] lr: 6.6945e-03 eta: 8:48:38 time: 0.3744 data_time: 0.0225 memory: 6760 loss_prob: 2.8526 loss_thr: 0.7892 loss_db: 0.3026 loss: 3.9445 2022/08/25 22:52:14 - mmengine - INFO - Epoch(train) [59][35/63] lr: 6.6945e-03 eta: 8:48:38 time: 0.3657 data_time: 0.0199 memory: 6760 loss_prob: 2.8523 loss_thr: 0.8001 loss_db: 0.3166 loss: 3.9690 2022/08/25 22:52:17 - mmengine - INFO - Epoch(train) [59][40/63] lr: 6.6945e-03 eta: 8:48:32 time: 0.4359 data_time: 0.0378 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7401 loss_db: 0.2915 loss: 3.8849 2022/08/25 22:52:18 - mmengine - INFO - Epoch(train) [59][45/63] lr: 6.6945e-03 eta: 8:48:32 time: 0.4348 data_time: 0.0369 memory: 6760 loss_prob: 2.8548 loss_thr: 0.7062 loss_db: 0.2960 loss: 3.8570 2022/08/25 22:52:20 - mmengine - INFO - Epoch(train) [59][50/63] lr: 6.6945e-03 eta: 8:48:15 time: 0.3765 data_time: 0.0239 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7310 loss_db: 0.3103 loss: 3.8974 2022/08/25 22:52:22 - mmengine - INFO - Epoch(train) [59][55/63] lr: 6.6945e-03 eta: 8:48:15 time: 0.3924 data_time: 0.0236 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7718 loss_db: 0.3206 loss: 3.9498 2022/08/25 22:52:24 - mmengine - INFO - Epoch(train) [59][60/63] lr: 6.6945e-03 eta: 8:48:01 time: 0.3916 data_time: 0.0226 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7921 loss_db: 0.3233 loss: 3.9720 2022/08/25 22:52:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:52:30 - mmengine - INFO - Epoch(train) [60][5/63] lr: 6.6892e-03 eta: 8:48:01 time: 0.6667 data_time: 0.1846 memory: 6760 loss_prob: 2.8524 loss_thr: 0.7287 loss_db: 0.2821 loss: 3.8632 2022/08/25 22:52:32 - mmengine - INFO - Epoch(train) [60][10/63] lr: 6.6892e-03 eta: 8:47:51 time: 0.5503 data_time: 0.1865 memory: 6760 loss_prob: 2.8510 loss_thr: 0.7580 loss_db: 0.3093 loss: 3.9183 2022/08/25 22:52:34 - mmengine - INFO - Epoch(train) [60][15/63] lr: 6.6892e-03 eta: 8:47:51 time: 0.3857 data_time: 0.0257 memory: 6760 loss_prob: 2.8516 loss_thr: 0.7685 loss_db: 0.3252 loss: 3.9452 2022/08/25 22:52:36 - mmengine - INFO - Epoch(train) [60][20/63] lr: 6.6892e-03 eta: 8:47:35 time: 0.3780 data_time: 0.0204 memory: 6760 loss_prob: 2.8524 loss_thr: 0.7236 loss_db: 0.3137 loss: 3.8897 2022/08/25 22:52:38 - mmengine - INFO - Epoch(train) [60][25/63] lr: 6.6892e-03 eta: 8:47:35 time: 0.3794 data_time: 0.0228 memory: 6760 loss_prob: 2.8532 loss_thr: 0.7303 loss_db: 0.2929 loss: 3.8765 2022/08/25 22:52:40 - mmengine - INFO - Epoch(train) [60][30/63] lr: 6.6892e-03 eta: 8:47:18 time: 0.3761 data_time: 0.0182 memory: 6760 loss_prob: 2.8521 loss_thr: 0.7274 loss_db: 0.2888 loss: 3.8683 2022/08/25 22:52:41 - mmengine - INFO - Epoch(train) [60][35/63] lr: 6.6892e-03 eta: 8:47:18 time: 0.3616 data_time: 0.0169 memory: 6760 loss_prob: 2.8518 loss_thr: 0.7366 loss_db: 0.3131 loss: 3.9015 2022/08/25 22:52:43 - mmengine - INFO - Epoch(train) [60][40/63] lr: 6.6892e-03 eta: 8:46:58 time: 0.3616 data_time: 0.0185 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7491 loss_db: 0.3015 loss: 3.9040 2022/08/25 22:52:47 - mmengine - INFO - Epoch(train) [60][45/63] lr: 6.6892e-03 eta: 8:46:58 time: 0.5782 data_time: 0.0206 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7215 loss_db: 0.2805 loss: 3.8560 2022/08/25 22:52:49 - mmengine - INFO - Epoch(train) [60][50/63] lr: 6.6892e-03 eta: 8:47:28 time: 0.6166 data_time: 0.0323 memory: 6760 loss_prob: 2.8548 loss_thr: 0.7316 loss_db: 0.2958 loss: 3.8821 2022/08/25 22:52:51 - mmengine - INFO - Epoch(train) [60][55/63] lr: 6.6892e-03 eta: 8:47:28 time: 0.4113 data_time: 0.0254 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7798 loss_db: 0.3069 loss: 3.9437 2022/08/25 22:52:53 - mmengine - INFO - Epoch(train) [60][60/63] lr: 6.6892e-03 eta: 8:47:12 time: 0.3799 data_time: 0.0166 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7933 loss_db: 0.3295 loss: 3.9802 2022/08/25 22:52:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:52:54 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/25 22:52:59 - mmengine - INFO - Epoch(val) [60][5/500] eta: 8:47:12 time: 0.4627 data_time: 0.0177 memory: 6760 2022/08/25 22:53:01 - mmengine - INFO - Epoch(val) [60][10/500] eta: 0:03:35 time: 0.4404 data_time: 0.0173 memory: 425 2022/08/25 22:53:03 - mmengine - INFO - Epoch(val) [60][15/500] eta: 0:03:35 time: 0.3719 data_time: 0.0021 memory: 425 2022/08/25 22:53:05 - mmengine - INFO - Epoch(val) [60][20/500] eta: 0:03:03 time: 0.3814 data_time: 0.0021 memory: 425 2022/08/25 22:53:07 - mmengine - INFO - Epoch(val) [60][25/500] eta: 0:03:03 time: 0.3863 data_time: 0.0080 memory: 425 2022/08/25 22:53:10 - mmengine - INFO - Epoch(val) [60][30/500] eta: 0:03:38 time: 0.4653 data_time: 0.0078 memory: 425 2022/08/25 22:53:12 - mmengine - INFO - Epoch(val) [60][35/500] eta: 0:03:38 time: 0.4776 data_time: 0.0023 memory: 425 2022/08/25 22:53:14 - mmengine - INFO - Epoch(val) [60][40/500] eta: 0:03:20 time: 0.4355 data_time: 0.0024 memory: 425 2022/08/25 22:53:17 - mmengine - INFO - Epoch(val) [60][45/500] eta: 0:03:20 time: 0.4979 data_time: 0.0106 memory: 425 2022/08/25 22:53:19 - mmengine - INFO - Epoch(val) [60][50/500] eta: 0:03:32 time: 0.4711 data_time: 0.0133 memory: 425 2022/08/25 22:53:21 - mmengine - INFO - Epoch(val) [60][55/500] eta: 0:03:32 time: 0.4318 data_time: 0.0047 memory: 425 2022/08/25 22:53:23 - mmengine - INFO - Epoch(val) [60][60/500] eta: 0:02:53 time: 0.3947 data_time: 0.0033 memory: 425 2022/08/25 22:53:25 - mmengine - INFO - Epoch(val) [60][65/500] eta: 0:02:53 time: 0.3744 data_time: 0.0033 memory: 425 2022/08/25 22:53:28 - mmengine - INFO - Epoch(val) [60][70/500] eta: 0:03:23 time: 0.4736 data_time: 0.0049 memory: 425 2022/08/25 22:53:29 - mmengine - INFO - Epoch(val) [60][75/500] eta: 0:03:23 time: 0.4432 data_time: 0.0050 memory: 425 2022/08/25 22:53:31 - mmengine - INFO - Epoch(val) [60][80/500] eta: 0:02:27 time: 0.3517 data_time: 0.0022 memory: 425 2022/08/25 22:53:33 - mmengine - INFO - Epoch(val) [60][85/500] eta: 0:02:27 time: 0.3411 data_time: 0.0020 memory: 425 2022/08/25 22:53:36 - mmengine - INFO - Epoch(val) [60][90/500] eta: 0:03:17 time: 0.4812 data_time: 0.0020 memory: 425 2022/08/25 22:53:38 - mmengine - INFO - Epoch(val) [60][95/500] eta: 0:03:17 time: 0.5636 data_time: 0.0164 memory: 425 2022/08/25 22:53:40 - mmengine - INFO - Epoch(val) [60][100/500] eta: 0:02:52 time: 0.4309 data_time: 0.0164 memory: 425 2022/08/25 22:53:42 - mmengine - INFO - Epoch(val) [60][105/500] eta: 0:02:52 time: 0.3968 data_time: 0.0024 memory: 425 2022/08/25 22:53:44 - mmengine - INFO - Epoch(val) [60][110/500] eta: 0:02:37 time: 0.4044 data_time: 0.0025 memory: 425 2022/08/25 22:53:46 - mmengine - INFO - Epoch(val) [60][115/500] eta: 0:02:37 time: 0.3904 data_time: 0.0067 memory: 425 2022/08/25 22:53:48 - mmengine - INFO - Epoch(val) [60][120/500] eta: 0:02:28 time: 0.3907 data_time: 0.0069 memory: 425 2022/08/25 22:53:50 - mmengine - INFO - Epoch(val) [60][125/500] eta: 0:02:28 time: 0.4036 data_time: 0.0024 memory: 425 2022/08/25 22:53:52 - mmengine - INFO - Epoch(val) [60][130/500] eta: 0:02:22 time: 0.3856 data_time: 0.0020 memory: 425 2022/08/25 22:53:54 - mmengine - INFO - Epoch(val) [60][135/500] eta: 0:02:22 time: 0.3614 data_time: 0.0020 memory: 425 2022/08/25 22:53:57 - mmengine - INFO - Epoch(val) [60][140/500] eta: 0:03:07 time: 0.5216 data_time: 0.0149 memory: 425 2022/08/25 22:54:00 - mmengine - INFO - Epoch(val) [60][145/500] eta: 0:03:07 time: 0.5763 data_time: 0.0171 memory: 425 2022/08/25 22:54:02 - mmengine - INFO - Epoch(val) [60][150/500] eta: 0:02:40 time: 0.4589 data_time: 0.0042 memory: 425 2022/08/25 22:54:04 - mmengine - INFO - Epoch(val) [60][155/500] eta: 0:02:40 time: 0.4778 data_time: 0.0020 memory: 425 2022/08/25 22:54:06 - mmengine - INFO - Epoch(val) [60][160/500] eta: 0:02:37 time: 0.4631 data_time: 0.0045 memory: 425 2022/08/25 22:54:09 - mmengine - INFO - Epoch(val) [60][165/500] eta: 0:02:37 time: 0.4230 data_time: 0.0049 memory: 425 2022/08/25 22:54:11 - mmengine - INFO - Epoch(val) [60][170/500] eta: 0:02:29 time: 0.4522 data_time: 0.0025 memory: 425 2022/08/25 22:54:13 - mmengine - INFO - Epoch(val) [60][175/500] eta: 0:02:29 time: 0.4159 data_time: 0.0020 memory: 425 2022/08/25 22:54:15 - mmengine - INFO - Epoch(val) [60][180/500] eta: 0:02:04 time: 0.3901 data_time: 0.0020 memory: 425 2022/08/25 22:54:19 - mmengine - INFO - Epoch(val) [60][185/500] eta: 0:02:04 time: 0.5801 data_time: 0.0108 memory: 425 2022/08/25 22:54:21 - mmengine - INFO - Epoch(val) [60][190/500] eta: 0:03:06 time: 0.6021 data_time: 0.0212 memory: 425 2022/08/25 22:54:23 - mmengine - INFO - Epoch(val) [60][195/500] eta: 0:03:06 time: 0.4067 data_time: 0.0125 memory: 425 2022/08/25 22:54:25 - mmengine - INFO - Epoch(val) [60][200/500] eta: 0:01:58 time: 0.3953 data_time: 0.0021 memory: 425 2022/08/25 22:54:27 - mmengine - INFO - Epoch(val) [60][205/500] eta: 0:01:58 time: 0.4170 data_time: 0.0053 memory: 425 2022/08/25 22:54:29 - mmengine - INFO - Epoch(val) [60][210/500] eta: 0:01:55 time: 0.3972 data_time: 0.0054 memory: 425 2022/08/25 22:54:31 - mmengine - INFO - Epoch(val) [60][215/500] eta: 0:01:55 time: 0.4058 data_time: 0.0020 memory: 425 2022/08/25 22:54:33 - mmengine - INFO - Epoch(val) [60][220/500] eta: 0:01:53 time: 0.4041 data_time: 0.0027 memory: 425 2022/08/25 22:54:36 - mmengine - INFO - Epoch(val) [60][225/500] eta: 0:01:53 time: 0.4394 data_time: 0.0027 memory: 425 2022/08/25 22:54:38 - mmengine - INFO - Epoch(val) [60][230/500] eta: 0:02:19 time: 0.5171 data_time: 0.0359 memory: 425 2022/08/25 22:54:40 - mmengine - INFO - Epoch(val) [60][235/500] eta: 0:02:19 time: 0.4973 data_time: 0.0359 memory: 425 2022/08/25 22:54:42 - mmengine - INFO - Epoch(val) [60][240/500] eta: 0:01:52 time: 0.4313 data_time: 0.0020 memory: 425 2022/08/25 22:54:44 - mmengine - INFO - Epoch(val) [60][245/500] eta: 0:01:52 time: 0.3947 data_time: 0.0021 memory: 425 2022/08/25 22:54:46 - mmengine - INFO - Epoch(val) [60][250/500] eta: 0:01:41 time: 0.4065 data_time: 0.0052 memory: 425 2022/08/25 22:54:48 - mmengine - INFO - Epoch(val) [60][255/500] eta: 0:01:41 time: 0.3966 data_time: 0.0060 memory: 425 2022/08/25 22:54:50 - mmengine - INFO - Epoch(val) [60][260/500] eta: 0:01:26 time: 0.3598 data_time: 0.0048 memory: 425 2022/08/25 22:54:52 - mmengine - INFO - Epoch(val) [60][265/500] eta: 0:01:26 time: 0.3488 data_time: 0.0039 memory: 425 2022/08/25 22:54:54 - mmengine - INFO - Epoch(val) [60][270/500] eta: 0:01:32 time: 0.4018 data_time: 0.0020 memory: 425 2022/08/25 22:54:57 - mmengine - INFO - Epoch(val) [60][275/500] eta: 0:01:32 time: 0.5175 data_time: 0.0063 memory: 425 2022/08/25 22:54:59 - mmengine - INFO - Epoch(val) [60][280/500] eta: 0:01:50 time: 0.5018 data_time: 0.0086 memory: 425 2022/08/25 22:55:01 - mmengine - INFO - Epoch(val) [60][285/500] eta: 0:01:50 time: 0.3929 data_time: 0.0043 memory: 425 2022/08/25 22:55:03 - mmengine - INFO - Epoch(val) [60][290/500] eta: 0:01:22 time: 0.3940 data_time: 0.0020 memory: 425 2022/08/25 22:55:05 - mmengine - INFO - Epoch(val) [60][295/500] eta: 0:01:22 time: 0.4214 data_time: 0.0021 memory: 425 2022/08/25 22:55:08 - mmengine - INFO - Epoch(val) [60][300/500] eta: 0:01:29 time: 0.4491 data_time: 0.0122 memory: 425 2022/08/25 22:55:09 - mmengine - INFO - Epoch(val) [60][305/500] eta: 0:01:29 time: 0.4492 data_time: 0.0127 memory: 425 2022/08/25 22:55:12 - mmengine - INFO - Epoch(val) [60][310/500] eta: 0:01:24 time: 0.4423 data_time: 0.0025 memory: 425 2022/08/25 22:55:14 - mmengine - INFO - Epoch(val) [60][315/500] eta: 0:01:24 time: 0.4655 data_time: 0.0023 memory: 425 2022/08/25 22:55:17 - mmengine - INFO - Epoch(val) [60][320/500] eta: 0:01:26 time: 0.4782 data_time: 0.0104 memory: 425 2022/08/25 22:55:20 - mmengine - INFO - Epoch(val) [60][325/500] eta: 0:01:26 time: 0.5525 data_time: 0.0123 memory: 425 2022/08/25 22:55:22 - mmengine - INFO - Epoch(val) [60][330/500] eta: 0:01:23 time: 0.4898 data_time: 0.0044 memory: 425 2022/08/25 22:55:23 - mmengine - INFO - Epoch(val) [60][335/500] eta: 0:01:23 time: 0.3755 data_time: 0.0021 memory: 425 2022/08/25 22:55:27 - mmengine - INFO - Epoch(val) [60][340/500] eta: 0:01:27 time: 0.5450 data_time: 0.0311 memory: 425 2022/08/25 22:55:29 - mmengine - INFO - Epoch(val) [60][345/500] eta: 0:01:27 time: 0.5603 data_time: 0.0372 memory: 425 2022/08/25 22:55:33 - mmengine - INFO - Epoch(val) [60][350/500] eta: 0:01:22 time: 0.5508 data_time: 0.0090 memory: 425 2022/08/25 22:55:34 - mmengine - INFO - Epoch(val) [60][355/500] eta: 0:01:22 time: 0.5347 data_time: 0.0028 memory: 425 2022/08/25 22:55:37 - mmengine - INFO - Epoch(val) [60][360/500] eta: 0:01:01 time: 0.4404 data_time: 0.0081 memory: 425 2022/08/25 22:55:39 - mmengine - INFO - Epoch(val) [60][365/500] eta: 0:01:01 time: 0.4487 data_time: 0.0098 memory: 425 2022/08/25 22:55:41 - mmengine - INFO - Epoch(val) [60][370/500] eta: 0:00:47 time: 0.3684 data_time: 0.0046 memory: 425 2022/08/25 22:55:42 - mmengine - INFO - Epoch(val) [60][375/500] eta: 0:00:47 time: 0.3524 data_time: 0.0030 memory: 425 2022/08/25 22:55:45 - mmengine - INFO - Epoch(val) [60][380/500] eta: 0:00:50 time: 0.4171 data_time: 0.0021 memory: 425 2022/08/25 22:55:48 - mmengine - INFO - Epoch(val) [60][385/500] eta: 0:00:50 time: 0.5537 data_time: 0.0257 memory: 425 2022/08/25 22:55:50 - mmengine - INFO - Epoch(val) [60][390/500] eta: 0:00:57 time: 0.5209 data_time: 0.0344 memory: 425 2022/08/25 22:55:52 - mmengine - INFO - Epoch(val) [60][395/500] eta: 0:00:57 time: 0.3712 data_time: 0.0108 memory: 425 2022/08/25 22:55:54 - mmengine - INFO - Epoch(val) [60][400/500] eta: 0:00:39 time: 0.3935 data_time: 0.0020 memory: 425 2022/08/25 22:55:56 - mmengine - INFO - Epoch(val) [60][405/500] eta: 0:00:39 time: 0.4767 data_time: 0.0057 memory: 425 2022/08/25 22:55:59 - mmengine - INFO - Epoch(val) [60][410/500] eta: 0:00:45 time: 0.5024 data_time: 0.0064 memory: 425 2022/08/25 22:56:01 - mmengine - INFO - Epoch(val) [60][415/500] eta: 0:00:45 time: 0.4394 data_time: 0.0035 memory: 425 2022/08/25 22:56:02 - mmengine - INFO - Epoch(val) [60][420/500] eta: 0:00:27 time: 0.3435 data_time: 0.0028 memory: 425 2022/08/25 22:56:05 - mmengine - INFO - Epoch(val) [60][425/500] eta: 0:00:27 time: 0.3729 data_time: 0.0021 memory: 425 2022/08/25 22:56:07 - mmengine - INFO - Epoch(val) [60][430/500] eta: 0:00:33 time: 0.4803 data_time: 0.0104 memory: 425 2022/08/25 22:56:09 - mmengine - INFO - Epoch(val) [60][435/500] eta: 0:00:33 time: 0.4477 data_time: 0.0127 memory: 425 2022/08/25 22:56:11 - mmengine - INFO - Epoch(val) [60][440/500] eta: 0:00:25 time: 0.4233 data_time: 0.0044 memory: 425 2022/08/25 22:56:14 - mmengine - INFO - Epoch(val) [60][445/500] eta: 0:00:25 time: 0.4578 data_time: 0.0024 memory: 425 2022/08/25 22:56:16 - mmengine - INFO - Epoch(val) [60][450/500] eta: 0:00:24 time: 0.4869 data_time: 0.0159 memory: 425 2022/08/25 22:56:18 - mmengine - INFO - Epoch(val) [60][455/500] eta: 0:00:24 time: 0.4787 data_time: 0.0166 memory: 425 2022/08/25 22:56:20 - mmengine - INFO - Epoch(val) [60][460/500] eta: 0:00:15 time: 0.3783 data_time: 0.0030 memory: 425 2022/08/25 22:56:22 - mmengine - INFO - Epoch(val) [60][465/500] eta: 0:00:15 time: 0.3459 data_time: 0.0021 memory: 425 2022/08/25 22:56:24 - mmengine - INFO - Epoch(val) [60][470/500] eta: 0:00:10 time: 0.3546 data_time: 0.0027 memory: 425 2022/08/25 22:56:26 - mmengine - INFO - Epoch(val) [60][475/500] eta: 0:00:10 time: 0.3962 data_time: 0.0028 memory: 425 2022/08/25 22:56:28 - mmengine - INFO - Epoch(val) [60][480/500] eta: 0:00:09 time: 0.4764 data_time: 0.0143 memory: 425 2022/08/25 22:56:30 - mmengine - INFO - Epoch(val) [60][485/500] eta: 0:00:09 time: 0.4365 data_time: 0.0143 memory: 425 2022/08/25 22:56:32 - mmengine - INFO - Epoch(val) [60][490/500] eta: 0:00:03 time: 0.3874 data_time: 0.0029 memory: 425 2022/08/25 22:56:34 - mmengine - INFO - Epoch(val) [60][495/500] eta: 0:00:03 time: 0.4131 data_time: 0.0028 memory: 425 2022/08/25 22:56:36 - mmengine - INFO - Epoch(val) [60][500/500] eta: 0:00:00 time: 0.4047 data_time: 0.0098 memory: 425 2022/08/25 22:56:36 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 22:56:36 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0043, precision: 0.0001, hmean: 0.0001 2022/08/25 22:56:36 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:56:36 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:56:36 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:56:36 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:56:36 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:56:36 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 22:56:36 - mmengine - INFO - Epoch(val) [60][500/500] icdar/precision: 0.0001 icdar/recall: 0.0043 icdar/hmean: 0.0001 2022/08/25 22:56:41 - mmengine - INFO - Epoch(train) [61][5/63] lr: 6.6839e-03 eta: 0:00:00 time: 0.5656 data_time: 0.1733 memory: 6760 loss_prob: 2.8535 loss_thr: 0.7293 loss_db: 0.3124 loss: 3.8952 2022/08/25 22:56:42 - mmengine - INFO - Epoch(train) [61][10/63] lr: 6.6839e-03 eta: 8:47:10 time: 0.5937 data_time: 0.1757 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7814 loss_db: 0.3262 loss: 3.9635 2022/08/25 22:56:44 - mmengine - INFO - Epoch(train) [61][15/63] lr: 6.6839e-03 eta: 8:47:10 time: 0.3819 data_time: 0.0166 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7853 loss_db: 0.3176 loss: 3.9592 2022/08/25 22:56:46 - mmengine - INFO - Epoch(train) [61][20/63] lr: 6.6839e-03 eta: 8:46:53 time: 0.3737 data_time: 0.0167 memory: 6760 loss_prob: 2.8538 loss_thr: 0.7486 loss_db: 0.3262 loss: 3.9287 2022/08/25 22:56:48 - mmengine - INFO - Epoch(train) [61][25/63] lr: 6.6839e-03 eta: 8:46:53 time: 0.3787 data_time: 0.0200 memory: 6760 loss_prob: 2.8538 loss_thr: 0.7960 loss_db: 0.3506 loss: 4.0004 2022/08/25 22:56:51 - mmengine - INFO - Epoch(train) [61][30/63] lr: 6.6839e-03 eta: 8:46:54 time: 0.4666 data_time: 0.0286 memory: 6760 loss_prob: 2.8540 loss_thr: 0.8037 loss_db: 0.3138 loss: 3.9714 2022/08/25 22:56:53 - mmengine - INFO - Epoch(train) [61][35/63] lr: 6.6839e-03 eta: 8:46:54 time: 0.4648 data_time: 0.0262 memory: 6760 loss_prob: 2.8525 loss_thr: 0.7530 loss_db: 0.2925 loss: 3.8980 2022/08/25 22:56:55 - mmengine - INFO - Epoch(train) [61][40/63] lr: 6.6839e-03 eta: 8:46:35 time: 0.3643 data_time: 0.0179 memory: 6760 loss_prob: 2.8515 loss_thr: 0.7649 loss_db: 0.3014 loss: 3.9178 2022/08/25 22:56:57 - mmengine - INFO - Epoch(train) [61][45/63] lr: 6.6839e-03 eta: 8:46:35 time: 0.4032 data_time: 0.0232 memory: 6760 loss_prob: 2.8519 loss_thr: 0.7696 loss_db: 0.3021 loss: 3.9236 2022/08/25 22:56:59 - mmengine - INFO - Epoch(train) [61][50/63] lr: 6.6839e-03 eta: 8:46:26 time: 0.4172 data_time: 0.0260 memory: 6760 loss_prob: 2.8526 loss_thr: 0.7287 loss_db: 0.3078 loss: 3.8892 2022/08/25 22:57:01 - mmengine - INFO - Epoch(train) [61][55/63] lr: 6.6839e-03 eta: 8:46:26 time: 0.3795 data_time: 0.0268 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7325 loss_db: 0.2958 loss: 3.8819 2022/08/25 22:57:02 - mmengine - INFO - Epoch(train) [61][60/63] lr: 6.6839e-03 eta: 8:46:08 time: 0.3676 data_time: 0.0222 memory: 6760 loss_prob: 2.8544 loss_thr: 0.7708 loss_db: 0.2963 loss: 3.9215 2022/08/25 22:57:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:57:07 - mmengine - INFO - Epoch(train) [62][5/63] lr: 6.6787e-03 eta: 8:46:08 time: 0.5100 data_time: 0.1533 memory: 6760 loss_prob: 2.8537 loss_thr: 0.7289 loss_db: 0.3074 loss: 3.8900 2022/08/25 22:57:09 - mmengine - INFO - Epoch(train) [62][10/63] lr: 6.6787e-03 eta: 8:45:56 time: 0.5385 data_time: 0.1604 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7461 loss_db: 0.2897 loss: 3.8907 2022/08/25 22:57:11 - mmengine - INFO - Epoch(train) [62][15/63] lr: 6.6787e-03 eta: 8:45:56 time: 0.3738 data_time: 0.0232 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7685 loss_db: 0.3017 loss: 3.9252 2022/08/25 22:57:12 - mmengine - INFO - Epoch(train) [62][20/63] lr: 6.6787e-03 eta: 8:45:37 time: 0.3588 data_time: 0.0177 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7460 loss_db: 0.3047 loss: 3.9063 2022/08/25 22:57:14 - mmengine - INFO - Epoch(train) [62][25/63] lr: 6.6787e-03 eta: 8:45:37 time: 0.3734 data_time: 0.0219 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7604 loss_db: 0.3052 loss: 3.9255 2022/08/25 22:57:17 - mmengine - INFO - Epoch(train) [62][30/63] lr: 6.6787e-03 eta: 8:45:40 time: 0.4791 data_time: 0.0180 memory: 6760 loss_prob: 2.8644 loss_thr: 0.7903 loss_db: 0.3310 loss: 3.9857 2022/08/25 22:57:19 - mmengine - INFO - Epoch(train) [62][35/63] lr: 6.6787e-03 eta: 8:45:40 time: 0.4828 data_time: 0.0242 memory: 6760 loss_prob: 2.8612 loss_thr: 0.7638 loss_db: 0.2974 loss: 3.9224 2022/08/25 22:57:21 - mmengine - INFO - Epoch(train) [62][40/63] lr: 6.6787e-03 eta: 8:45:26 time: 0.3886 data_time: 0.0311 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7626 loss_db: 0.2996 loss: 3.9184 2022/08/25 22:57:23 - mmengine - INFO - Epoch(train) [62][45/63] lr: 6.6787e-03 eta: 8:45:26 time: 0.3679 data_time: 0.0208 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7508 loss_db: 0.3254 loss: 3.9302 2022/08/25 22:57:25 - mmengine - INFO - Epoch(train) [62][50/63] lr: 6.6787e-03 eta: 8:45:08 time: 0.3688 data_time: 0.0209 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7243 loss_db: 0.2957 loss: 3.8746 2022/08/25 22:57:27 - mmengine - INFO - Epoch(train) [62][55/63] lr: 6.6787e-03 eta: 8:45:08 time: 0.3941 data_time: 0.0250 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7539 loss_db: 0.2874 loss: 3.8992 2022/08/25 22:57:29 - mmengine - INFO - Epoch(train) [62][60/63] lr: 6.6787e-03 eta: 8:45:07 time: 0.4552 data_time: 0.0245 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7689 loss_db: 0.2890 loss: 3.9154 2022/08/25 22:57:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:57:34 - mmengine - INFO - Epoch(train) [63][5/63] lr: 6.6734e-03 eta: 8:45:07 time: 0.5774 data_time: 0.1882 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7205 loss_db: 0.2848 loss: 3.8598 2022/08/25 22:57:36 - mmengine - INFO - Epoch(train) [63][10/63] lr: 6.6734e-03 eta: 8:45:00 time: 0.5645 data_time: 0.1932 memory: 6760 loss_prob: 2.8537 loss_thr: 0.7627 loss_db: 0.2808 loss: 3.8971 2022/08/25 22:57:38 - mmengine - INFO - Epoch(train) [63][15/63] lr: 6.6734e-03 eta: 8:45:00 time: 0.3991 data_time: 0.0200 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7758 loss_db: 0.2934 loss: 3.9219 2022/08/25 22:57:40 - mmengine - INFO - Epoch(train) [63][20/63] lr: 6.6734e-03 eta: 8:44:44 time: 0.3766 data_time: 0.0170 memory: 6760 loss_prob: 2.8542 loss_thr: 0.7170 loss_db: 0.2833 loss: 3.8546 2022/08/25 22:57:42 - mmengine - INFO - Epoch(train) [63][25/63] lr: 6.6734e-03 eta: 8:44:44 time: 0.3946 data_time: 0.0287 memory: 6760 loss_prob: 2.8558 loss_thr: 0.6932 loss_db: 0.2911 loss: 3.8400 2022/08/25 22:57:43 - mmengine - INFO - Epoch(train) [63][30/63] lr: 6.6734e-03 eta: 8:44:29 time: 0.3823 data_time: 0.0213 memory: 6760 loss_prob: 2.8584 loss_thr: 0.7479 loss_db: 0.2960 loss: 3.9024 2022/08/25 22:57:45 - mmengine - INFO - Epoch(train) [63][35/63] lr: 6.6734e-03 eta: 8:44:29 time: 0.3627 data_time: 0.0160 memory: 6760 loss_prob: 2.8601 loss_thr: 0.7746 loss_db: 0.2831 loss: 3.9179 2022/08/25 22:57:48 - mmengine - INFO - Epoch(train) [63][40/63] lr: 6.6734e-03 eta: 8:44:28 time: 0.4570 data_time: 0.0231 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7617 loss_db: 0.3078 loss: 3.9275 2022/08/25 22:57:50 - mmengine - INFO - Epoch(train) [63][45/63] lr: 6.6734e-03 eta: 8:44:28 time: 0.4628 data_time: 0.0263 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7361 loss_db: 0.3125 loss: 3.9053 2022/08/25 22:57:52 - mmengine - INFO - Epoch(train) [63][50/63] lr: 6.6734e-03 eta: 8:44:14 time: 0.3822 data_time: 0.0323 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7397 loss_db: 0.3125 loss: 3.9099 2022/08/25 22:57:54 - mmengine - INFO - Epoch(train) [63][55/63] lr: 6.6734e-03 eta: 8:44:14 time: 0.3736 data_time: 0.0231 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7738 loss_db: 0.3613 loss: 3.9925 2022/08/25 22:57:56 - mmengine - INFO - Epoch(train) [63][60/63] lr: 6.6734e-03 eta: 8:43:59 time: 0.3840 data_time: 0.0154 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7718 loss_db: 0.3404 loss: 3.9694 2022/08/25 22:57:57 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:58:00 - mmengine - INFO - Epoch(train) [64][5/63] lr: 6.6681e-03 eta: 8:43:59 time: 0.5074 data_time: 0.1557 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7271 loss_db: 0.3562 loss: 3.9402 2022/08/25 22:58:02 - mmengine - INFO - Epoch(train) [64][10/63] lr: 6.6681e-03 eta: 8:43:43 time: 0.5127 data_time: 0.1616 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7439 loss_db: 0.3244 loss: 3.9253 2022/08/25 22:58:04 - mmengine - INFO - Epoch(train) [64][15/63] lr: 6.6681e-03 eta: 8:43:43 time: 0.3812 data_time: 0.0257 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7538 loss_db: 0.2708 loss: 3.8824 2022/08/25 22:58:06 - mmengine - INFO - Epoch(train) [64][20/63] lr: 6.6681e-03 eta: 8:43:34 time: 0.4137 data_time: 0.0190 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7265 loss_db: 0.2681 loss: 3.8498 2022/08/25 22:58:08 - mmengine - INFO - Epoch(train) [64][25/63] lr: 6.6681e-03 eta: 8:43:34 time: 0.4135 data_time: 0.0226 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7173 loss_db: 0.2836 loss: 3.8551 2022/08/25 22:58:10 - mmengine - INFO - Epoch(train) [64][30/63] lr: 6.6681e-03 eta: 8:43:18 time: 0.3750 data_time: 0.0242 memory: 6760 loss_prob: 2.8535 loss_thr: 0.7234 loss_db: 0.2950 loss: 3.8719 2022/08/25 22:58:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:58:12 - mmengine - INFO - Epoch(train) [64][35/63] lr: 6.6681e-03 eta: 8:43:18 time: 0.3910 data_time: 0.0169 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7381 loss_db: 0.3196 loss: 3.9119 2022/08/25 22:58:14 - mmengine - INFO - Epoch(train) [64][40/63] lr: 6.6681e-03 eta: 8:43:06 time: 0.3960 data_time: 0.0160 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7448 loss_db: 0.3037 loss: 3.9059 2022/08/25 22:58:16 - mmengine - INFO - Epoch(train) [64][45/63] lr: 6.6681e-03 eta: 8:43:06 time: 0.4170 data_time: 0.0222 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7536 loss_db: 0.3019 loss: 3.9132 2022/08/25 22:58:18 - mmengine - INFO - Epoch(train) [64][50/63] lr: 6.6681e-03 eta: 8:43:09 time: 0.4756 data_time: 0.0593 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7955 loss_db: 0.3041 loss: 3.9571 2022/08/25 22:58:20 - mmengine - INFO - Epoch(train) [64][55/63] lr: 6.6681e-03 eta: 8:43:09 time: 0.4211 data_time: 0.0534 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7778 loss_db: 0.2960 loss: 3.9314 2022/08/25 22:58:22 - mmengine - INFO - Epoch(train) [64][60/63] lr: 6.6681e-03 eta: 8:42:53 time: 0.3729 data_time: 0.0156 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7121 loss_db: 0.2946 loss: 3.8629 2022/08/25 22:58:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:58:26 - mmengine - INFO - Epoch(train) [65][5/63] lr: 6.6628e-03 eta: 8:42:53 time: 0.5193 data_time: 0.1544 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7547 loss_db: 0.3092 loss: 3.9217 2022/08/25 22:58:29 - mmengine - INFO - Epoch(train) [65][10/63] lr: 6.6628e-03 eta: 8:42:42 time: 0.5415 data_time: 0.1660 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7558 loss_db: 0.2935 loss: 3.9074 2022/08/25 22:58:30 - mmengine - INFO - Epoch(train) [65][15/63] lr: 6.6628e-03 eta: 8:42:42 time: 0.3877 data_time: 0.0226 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7423 loss_db: 0.2900 loss: 3.8898 2022/08/25 22:58:32 - mmengine - INFO - Epoch(train) [65][20/63] lr: 6.6628e-03 eta: 8:42:24 time: 0.3637 data_time: 0.0144 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7298 loss_db: 0.2864 loss: 3.8731 2022/08/25 22:58:34 - mmengine - INFO - Epoch(train) [65][25/63] lr: 6.6628e-03 eta: 8:42:24 time: 0.3690 data_time: 0.0245 memory: 6760 loss_prob: 2.8561 loss_thr: 0.7295 loss_db: 0.2875 loss: 3.8732 2022/08/25 22:58:38 - mmengine - INFO - Epoch(train) [65][30/63] lr: 6.6628e-03 eta: 8:42:52 time: 0.6203 data_time: 0.0307 memory: 6760 loss_prob: 2.8553 loss_thr: 0.7285 loss_db: 0.2858 loss: 3.8696 2022/08/25 22:58:40 - mmengine - INFO - Epoch(train) [65][35/63] lr: 6.6628e-03 eta: 8:42:52 time: 0.6269 data_time: 0.0353 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7377 loss_db: 0.2828 loss: 3.8776 2022/08/25 22:58:42 - mmengine - INFO - Epoch(train) [65][40/63] lr: 6.6628e-03 eta: 8:42:36 time: 0.3716 data_time: 0.0263 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7188 loss_db: 0.2748 loss: 3.8507 2022/08/25 22:58:44 - mmengine - INFO - Epoch(train) [65][45/63] lr: 6.6628e-03 eta: 8:42:36 time: 0.3581 data_time: 0.0156 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7057 loss_db: 0.2790 loss: 3.8400 2022/08/25 22:58:46 - mmengine - INFO - Epoch(train) [65][50/63] lr: 6.6628e-03 eta: 8:42:21 time: 0.3780 data_time: 0.0224 memory: 6760 loss_prob: 2.8561 loss_thr: 0.7316 loss_db: 0.2945 loss: 3.8823 2022/08/25 22:58:48 - mmengine - INFO - Epoch(train) [65][55/63] lr: 6.6628e-03 eta: 8:42:21 time: 0.3849 data_time: 0.0208 memory: 6760 loss_prob: 2.8616 loss_thr: 0.7669 loss_db: 0.3160 loss: 3.9445 2022/08/25 22:58:50 - mmengine - INFO - Epoch(train) [65][60/63] lr: 6.6628e-03 eta: 8:42:05 time: 0.3743 data_time: 0.0163 memory: 6760 loss_prob: 2.8609 loss_thr: 0.7944 loss_db: 0.3372 loss: 3.9925 2022/08/25 22:58:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:58:54 - mmengine - INFO - Epoch(train) [66][5/63] lr: 6.6575e-03 eta: 8:42:05 time: 0.5163 data_time: 0.1564 memory: 6760 loss_prob: 2.8530 loss_thr: 0.7219 loss_db: 0.3002 loss: 3.8751 2022/08/25 22:58:56 - mmengine - INFO - Epoch(train) [66][10/63] lr: 6.6575e-03 eta: 8:42:02 time: 0.5810 data_time: 0.1654 memory: 6760 loss_prob: 2.8530 loss_thr: 0.6943 loss_db: 0.2788 loss: 3.8262 2022/08/25 22:58:58 - mmengine - INFO - Epoch(train) [66][15/63] lr: 6.6575e-03 eta: 8:42:02 time: 0.4314 data_time: 0.0257 memory: 6760 loss_prob: 2.8528 loss_thr: 0.7205 loss_db: 0.2854 loss: 3.8587 2022/08/25 22:59:00 - mmengine - INFO - Epoch(train) [66][20/63] lr: 6.6575e-03 eta: 8:41:45 time: 0.3682 data_time: 0.0160 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7437 loss_db: 0.2984 loss: 3.8948 2022/08/25 22:59:02 - mmengine - INFO - Epoch(train) [66][25/63] lr: 6.6575e-03 eta: 8:41:45 time: 0.3730 data_time: 0.0252 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7367 loss_db: 0.3214 loss: 3.9124 2022/08/25 22:59:04 - mmengine - INFO - Epoch(train) [66][30/63] lr: 6.6575e-03 eta: 8:41:30 time: 0.3761 data_time: 0.0203 memory: 6760 loss_prob: 2.8544 loss_thr: 0.7476 loss_db: 0.3034 loss: 3.9054 2022/08/25 22:59:07 - mmengine - INFO - Epoch(train) [66][35/63] lr: 6.6575e-03 eta: 8:41:30 time: 0.4717 data_time: 0.0166 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7442 loss_db: 0.2804 loss: 3.8779 2022/08/25 22:59:09 - mmengine - INFO - Epoch(train) [66][40/63] lr: 6.6575e-03 eta: 8:41:36 time: 0.4955 data_time: 0.0235 memory: 6760 loss_prob: 2.8519 loss_thr: 0.7520 loss_db: 0.3208 loss: 3.9247 2022/08/25 22:59:11 - mmengine - INFO - Epoch(train) [66][45/63] lr: 6.6575e-03 eta: 8:41:36 time: 0.3936 data_time: 0.0210 memory: 6760 loss_prob: 2.8534 loss_thr: 0.8051 loss_db: 0.3383 loss: 3.9968 2022/08/25 22:59:13 - mmengine - INFO - Epoch(train) [66][50/63] lr: 6.6575e-03 eta: 8:41:21 time: 0.3807 data_time: 0.0264 memory: 6760 loss_prob: 2.8543 loss_thr: 0.8216 loss_db: 0.3346 loss: 4.0105 2022/08/25 22:59:14 - mmengine - INFO - Epoch(train) [66][55/63] lr: 6.6575e-03 eta: 8:41:21 time: 0.3781 data_time: 0.0228 memory: 6760 loss_prob: 2.8538 loss_thr: 0.7972 loss_db: 0.3279 loss: 3.9789 2022/08/25 22:59:17 - mmengine - INFO - Epoch(train) [66][60/63] lr: 6.6575e-03 eta: 8:41:09 time: 0.3907 data_time: 0.0174 memory: 6760 loss_prob: 2.8528 loss_thr: 0.7593 loss_db: 0.3214 loss: 3.9335 2022/08/25 22:59:18 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:59:21 - mmengine - INFO - Epoch(train) [67][5/63] lr: 6.6522e-03 eta: 8:41:09 time: 0.5243 data_time: 0.1586 memory: 6760 loss_prob: 2.8614 loss_thr: 0.7668 loss_db: 0.3179 loss: 3.9461 2022/08/25 22:59:23 - mmengine - INFO - Epoch(train) [67][10/63] lr: 6.6522e-03 eta: 8:40:54 time: 0.5142 data_time: 0.1709 memory: 6760 loss_prob: 2.8589 loss_thr: 0.7554 loss_db: 0.3017 loss: 3.9161 2022/08/25 22:59:25 - mmengine - INFO - Epoch(train) [67][15/63] lr: 6.6522e-03 eta: 8:40:54 time: 0.3773 data_time: 0.0270 memory: 6760 loss_prob: 2.8499 loss_thr: 0.7320 loss_db: 0.3278 loss: 3.9097 2022/08/25 22:59:27 - mmengine - INFO - Epoch(train) [67][20/63] lr: 6.6522e-03 eta: 8:40:49 time: 0.4315 data_time: 0.0182 memory: 6760 loss_prob: 2.8514 loss_thr: 0.7383 loss_db: 0.3027 loss: 3.8924 2022/08/25 22:59:29 - mmengine - INFO - Epoch(train) [67][25/63] lr: 6.6522e-03 eta: 8:40:49 time: 0.4551 data_time: 0.0338 memory: 6760 loss_prob: 2.8517 loss_thr: 0.7516 loss_db: 0.2791 loss: 3.8824 2022/08/25 22:59:31 - mmengine - INFO - Epoch(train) [67][30/63] lr: 6.6522e-03 eta: 8:40:37 time: 0.3966 data_time: 0.0244 memory: 6760 loss_prob: 2.8505 loss_thr: 0.7663 loss_db: 0.2935 loss: 3.9104 2022/08/25 22:59:33 - mmengine - INFO - Epoch(train) [67][35/63] lr: 6.6522e-03 eta: 8:40:37 time: 0.3752 data_time: 0.0221 memory: 6760 loss_prob: 2.8512 loss_thr: 0.7472 loss_db: 0.2991 loss: 3.8975 2022/08/25 22:59:35 - mmengine - INFO - Epoch(train) [67][40/63] lr: 6.6522e-03 eta: 8:40:22 time: 0.3751 data_time: 0.0230 memory: 6760 loss_prob: 2.8522 loss_thr: 0.7173 loss_db: 0.3044 loss: 3.8739 2022/08/25 22:59:37 - mmengine - INFO - Epoch(train) [67][45/63] lr: 6.6522e-03 eta: 8:40:22 time: 0.3762 data_time: 0.0190 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7227 loss_db: 0.2879 loss: 3.8657 2022/08/25 22:59:39 - mmengine - INFO - Epoch(train) [67][50/63] lr: 6.6522e-03 eta: 8:40:09 time: 0.3852 data_time: 0.0235 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7474 loss_db: 0.2894 loss: 3.8930 2022/08/25 22:59:40 - mmengine - INFO - Epoch(train) [67][55/63] lr: 6.6522e-03 eta: 8:40:09 time: 0.3661 data_time: 0.0166 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7466 loss_db: 0.2843 loss: 3.8853 2022/08/25 22:59:42 - mmengine - INFO - Epoch(train) [67][60/63] lr: 6.6522e-03 eta: 8:39:51 time: 0.3562 data_time: 0.0163 memory: 6760 loss_prob: 2.8521 loss_thr: 0.7331 loss_db: 0.2865 loss: 3.8716 2022/08/25 22:59:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 22:59:47 - mmengine - INFO - Epoch(train) [68][5/63] lr: 6.6470e-03 eta: 8:39:51 time: 0.5854 data_time: 0.1500 memory: 6760 loss_prob: 2.8535 loss_thr: 0.7566 loss_db: 0.2911 loss: 3.9012 2022/08/25 22:59:49 - mmengine - INFO - Epoch(train) [68][10/63] lr: 6.6470e-03 eta: 8:39:50 time: 0.5965 data_time: 0.1570 memory: 6760 loss_prob: 2.8557 loss_thr: 0.7663 loss_db: 0.3011 loss: 3.9232 2022/08/25 22:59:51 - mmengine - INFO - Epoch(train) [68][15/63] lr: 6.6470e-03 eta: 8:39:50 time: 0.3713 data_time: 0.0226 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7544 loss_db: 0.3010 loss: 3.9108 2022/08/25 22:59:53 - mmengine - INFO - Epoch(train) [68][20/63] lr: 6.6470e-03 eta: 8:39:34 time: 0.3649 data_time: 0.0158 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7284 loss_db: 0.2894 loss: 3.8742 2022/08/25 22:59:55 - mmengine - INFO - Epoch(train) [68][25/63] lr: 6.6470e-03 eta: 8:39:34 time: 0.3709 data_time: 0.0232 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7188 loss_db: 0.2896 loss: 3.8643 2022/08/25 22:59:58 - mmengine - INFO - Epoch(train) [68][30/63] lr: 6.6470e-03 eta: 8:39:32 time: 0.4557 data_time: 0.0353 memory: 6760 loss_prob: 2.8542 loss_thr: 0.7287 loss_db: 0.2846 loss: 3.8674 2022/08/25 22:59:59 - mmengine - INFO - Epoch(train) [68][35/63] lr: 6.6470e-03 eta: 8:39:32 time: 0.4584 data_time: 0.0324 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7313 loss_db: 0.2908 loss: 3.8776 2022/08/25 23:00:01 - mmengine - INFO - Epoch(train) [68][40/63] lr: 6.6470e-03 eta: 8:39:17 time: 0.3723 data_time: 0.0195 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7474 loss_db: 0.3017 loss: 3.9053 2022/08/25 23:00:03 - mmengine - INFO - Epoch(train) [68][45/63] lr: 6.6470e-03 eta: 8:39:17 time: 0.3754 data_time: 0.0238 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7688 loss_db: 0.3024 loss: 3.9280 2022/08/25 23:00:05 - mmengine - INFO - Epoch(train) [68][50/63] lr: 6.6470e-03 eta: 8:39:05 time: 0.3923 data_time: 0.0269 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7374 loss_db: 0.2967 loss: 3.8900 2022/08/25 23:00:08 - mmengine - INFO - Epoch(train) [68][55/63] lr: 6.6470e-03 eta: 8:39:05 time: 0.5121 data_time: 0.0273 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7643 loss_db: 0.3251 loss: 3.9475 2022/08/25 23:00:10 - mmengine - INFO - Epoch(train) [68][60/63] lr: 6.6470e-03 eta: 8:39:12 time: 0.5048 data_time: 0.0346 memory: 6760 loss_prob: 2.8592 loss_thr: 0.7780 loss_db: 0.3100 loss: 3.9473 2022/08/25 23:00:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:00:15 - mmengine - INFO - Epoch(train) [69][5/63] lr: 6.6417e-03 eta: 8:39:12 time: 0.5230 data_time: 0.1751 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7533 loss_db: 0.3133 loss: 3.9202 2022/08/25 23:00:17 - mmengine - INFO - Epoch(train) [69][10/63] lr: 6.6417e-03 eta: 8:39:07 time: 0.5712 data_time: 0.1859 memory: 6760 loss_prob: 2.8513 loss_thr: 0.7538 loss_db: 0.3155 loss: 3.9206 2022/08/25 23:00:19 - mmengine - INFO - Epoch(train) [69][15/63] lr: 6.6417e-03 eta: 8:39:07 time: 0.4114 data_time: 0.0242 memory: 6760 loss_prob: 2.8507 loss_thr: 0.7435 loss_db: 0.3219 loss: 3.9161 2022/08/25 23:00:21 - mmengine - INFO - Epoch(train) [69][20/63] lr: 6.6417e-03 eta: 8:38:53 time: 0.3752 data_time: 0.0158 memory: 6760 loss_prob: 2.8523 loss_thr: 0.7619 loss_db: 0.3353 loss: 3.9495 2022/08/25 23:00:23 - mmengine - INFO - Epoch(train) [69][25/63] lr: 6.6417e-03 eta: 8:38:53 time: 0.3682 data_time: 0.0213 memory: 6760 loss_prob: 2.8583 loss_thr: 0.7569 loss_db: 0.3134 loss: 3.9286 2022/08/25 23:00:24 - mmengine - INFO - Epoch(train) [69][30/63] lr: 6.6417e-03 eta: 8:38:38 time: 0.3718 data_time: 0.0179 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7181 loss_db: 0.2840 loss: 3.8588 2022/08/25 23:00:27 - mmengine - INFO - Epoch(train) [69][35/63] lr: 6.6417e-03 eta: 8:38:38 time: 0.4509 data_time: 0.0245 memory: 6760 loss_prob: 2.8507 loss_thr: 0.7492 loss_db: 0.2818 loss: 3.8817 2022/08/25 23:00:29 - mmengine - INFO - Epoch(train) [69][40/63] lr: 6.6417e-03 eta: 8:38:35 time: 0.4466 data_time: 0.0330 memory: 6760 loss_prob: 2.8514 loss_thr: 0.7499 loss_db: 0.2948 loss: 3.8961 2022/08/25 23:00:31 - mmengine - INFO - Epoch(train) [69][45/63] lr: 6.6417e-03 eta: 8:38:35 time: 0.3916 data_time: 0.0240 memory: 6760 loss_prob: 2.8519 loss_thr: 0.6994 loss_db: 0.2842 loss: 3.8355 2022/08/25 23:00:33 - mmengine - INFO - Epoch(train) [69][50/63] lr: 6.6417e-03 eta: 8:38:24 time: 0.3985 data_time: 0.0208 memory: 6760 loss_prob: 2.8533 loss_thr: 0.7189 loss_db: 0.2808 loss: 3.8530 2022/08/25 23:00:35 - mmengine - INFO - Epoch(train) [69][55/63] lr: 6.6417e-03 eta: 8:38:24 time: 0.3690 data_time: 0.0177 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7594 loss_db: 0.3033 loss: 3.9176 2022/08/25 23:00:37 - mmengine - INFO - Epoch(train) [69][60/63] lr: 6.6417e-03 eta: 8:38:13 time: 0.3959 data_time: 0.0185 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7667 loss_db: 0.3148 loss: 3.9374 2022/08/25 23:00:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:00:41 - mmengine - INFO - Epoch(train) [70][5/63] lr: 6.6364e-03 eta: 8:38:13 time: 0.5229 data_time: 0.1627 memory: 6760 loss_prob: 2.8578 loss_thr: 0.8084 loss_db: 0.3255 loss: 3.9916 2022/08/25 23:00:43 - mmengine - INFO - Epoch(train) [70][10/63] lr: 6.6364e-03 eta: 8:38:08 time: 0.5678 data_time: 0.2061 memory: 6760 loss_prob: 2.8546 loss_thr: 0.7747 loss_db: 0.3035 loss: 3.9328 2022/08/25 23:00:45 - mmengine - INFO - Epoch(train) [70][15/63] lr: 6.6364e-03 eta: 8:38:08 time: 0.4035 data_time: 0.0564 memory: 6760 loss_prob: 2.8522 loss_thr: 0.7316 loss_db: 0.2754 loss: 3.8592 2022/08/25 23:00:47 - mmengine - INFO - Epoch(train) [70][20/63] lr: 6.6364e-03 eta: 8:37:52 time: 0.3676 data_time: 0.0175 memory: 6760 loss_prob: 2.8526 loss_thr: 0.7374 loss_db: 0.3000 loss: 3.8900 2022/08/25 23:00:49 - mmengine - INFO - Epoch(train) [70][25/63] lr: 6.6364e-03 eta: 8:37:52 time: 0.3788 data_time: 0.0241 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7884 loss_db: 0.3251 loss: 3.9699 2022/08/25 23:00:51 - mmengine - INFO - Epoch(train) [70][30/63] lr: 6.6364e-03 eta: 8:37:36 time: 0.3653 data_time: 0.0157 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7641 loss_db: 0.3044 loss: 3.9262 2022/08/25 23:00:53 - mmengine - INFO - Epoch(train) [70][35/63] lr: 6.6364e-03 eta: 8:37:36 time: 0.3677 data_time: 0.0154 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7225 loss_db: 0.3026 loss: 3.8810 2022/08/25 23:00:55 - mmengine - INFO - Epoch(train) [70][40/63] lr: 6.6364e-03 eta: 8:37:23 time: 0.3844 data_time: 0.0266 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7454 loss_db: 0.3013 loss: 3.9030 2022/08/25 23:00:59 - mmengine - INFO - Epoch(train) [70][45/63] lr: 6.6364e-03 eta: 8:37:23 time: 0.5851 data_time: 0.0302 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7463 loss_db: 0.2921 loss: 3.8951 2022/08/25 23:01:00 - mmengine - INFO - Epoch(train) [70][50/63] lr: 6.6364e-03 eta: 8:37:42 time: 0.5781 data_time: 0.0263 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7717 loss_db: 0.2920 loss: 3.9197 2022/08/25 23:01:02 - mmengine - INFO - Epoch(train) [70][55/63] lr: 6.6364e-03 eta: 8:37:42 time: 0.3782 data_time: 0.0205 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7701 loss_db: 0.2973 loss: 3.9244 2022/08/25 23:01:04 - mmengine - INFO - Epoch(train) [70][60/63] lr: 6.6364e-03 eta: 8:37:28 time: 0.3779 data_time: 0.0161 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7243 loss_db: 0.2968 loss: 3.8778 2022/08/25 23:01:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:01:09 - mmengine - INFO - Epoch(train) [71][5/63] lr: 6.6311e-03 eta: 8:37:28 time: 0.5193 data_time: 0.1500 memory: 6760 loss_prob: 2.8521 loss_thr: 0.7035 loss_db: 0.3147 loss: 3.8703 2022/08/25 23:01:11 - mmengine - INFO - Epoch(train) [71][10/63] lr: 6.6311e-03 eta: 8:37:16 time: 0.5246 data_time: 0.1493 memory: 6760 loss_prob: 2.8537 loss_thr: 0.7152 loss_db: 0.2913 loss: 3.8603 2022/08/25 23:01:12 - mmengine - INFO - Epoch(train) [71][15/63] lr: 6.6311e-03 eta: 8:37:16 time: 0.3656 data_time: 0.0185 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7222 loss_db: 0.2939 loss: 3.8727 2022/08/25 23:01:14 - mmengine - INFO - Epoch(train) [71][20/63] lr: 6.6311e-03 eta: 8:37:01 time: 0.3718 data_time: 0.0202 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7471 loss_db: 0.3050 loss: 3.9096 2022/08/25 23:01:18 - mmengine - INFO - Epoch(train) [71][25/63] lr: 6.6311e-03 eta: 8:37:01 time: 0.5346 data_time: 0.0508 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7567 loss_db: 0.2889 loss: 3.9030 2022/08/25 23:01:20 - mmengine - INFO - Epoch(train) [71][30/63] lr: 6.6311e-03 eta: 8:37:14 time: 0.5438 data_time: 0.0528 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7351 loss_db: 0.2823 loss: 3.8742 2022/08/25 23:01:22 - mmengine - INFO - Epoch(train) [71][35/63] lr: 6.6311e-03 eta: 8:37:14 time: 0.3794 data_time: 0.0252 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7525 loss_db: 0.2992 loss: 3.9105 2022/08/25 23:01:23 - mmengine - INFO - Epoch(train) [71][40/63] lr: 6.6311e-03 eta: 8:36:59 time: 0.3722 data_time: 0.0172 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7465 loss_db: 0.2761 loss: 3.8822 2022/08/25 23:01:25 - mmengine - INFO - Epoch(train) [71][45/63] lr: 6.6311e-03 eta: 8:36:59 time: 0.3661 data_time: 0.0164 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7217 loss_db: 0.2961 loss: 3.8747 2022/08/25 23:01:27 - mmengine - INFO - Epoch(train) [71][50/63] lr: 6.6311e-03 eta: 8:36:49 time: 0.3954 data_time: 0.0239 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7536 loss_db: 0.3292 loss: 3.9371 2022/08/25 23:01:29 - mmengine - INFO - Epoch(train) [71][55/63] lr: 6.6311e-03 eta: 8:36:49 time: 0.3929 data_time: 0.0218 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7502 loss_db: 0.2947 loss: 3.9005 2022/08/25 23:01:31 - mmengine - INFO - Epoch(train) [71][60/63] lr: 6.6311e-03 eta: 8:36:34 time: 0.3708 data_time: 0.0229 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7688 loss_db: 0.3173 loss: 3.9431 2022/08/25 23:01:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:01:36 - mmengine - INFO - Epoch(train) [72][5/63] lr: 6.6258e-03 eta: 8:36:34 time: 0.5234 data_time: 0.1522 memory: 6760 loss_prob: 2.8526 loss_thr: 0.7726 loss_db: 0.3535 loss: 3.9787 2022/08/25 23:01:38 - mmengine - INFO - Epoch(train) [72][10/63] lr: 6.6258e-03 eta: 8:36:29 time: 0.5742 data_time: 0.1604 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7513 loss_db: 0.3089 loss: 3.9129 2022/08/25 23:01:40 - mmengine - INFO - Epoch(train) [72][15/63] lr: 6.6258e-03 eta: 8:36:29 time: 0.4117 data_time: 0.0213 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7261 loss_db: 0.2808 loss: 3.8625 2022/08/25 23:01:42 - mmengine - INFO - Epoch(train) [72][20/63] lr: 6.6258e-03 eta: 8:36:16 time: 0.3788 data_time: 0.0196 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7552 loss_db: 0.3144 loss: 3.9272 2022/08/25 23:01:44 - mmengine - INFO - Epoch(train) [72][25/63] lr: 6.6258e-03 eta: 8:36:16 time: 0.3848 data_time: 0.0224 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7889 loss_db: 0.3372 loss: 3.9826 2022/08/25 23:01:45 - mmengine - INFO - Epoch(train) [72][30/63] lr: 6.6258e-03 eta: 8:36:04 time: 0.3891 data_time: 0.0211 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7538 loss_db: 0.3414 loss: 3.9493 2022/08/25 23:01:49 - mmengine - INFO - Epoch(train) [72][35/63] lr: 6.6258e-03 eta: 8:36:04 time: 0.4984 data_time: 0.0218 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7487 loss_db: 0.3165 loss: 3.9196 2022/08/25 23:01:50 - mmengine - INFO - Epoch(train) [72][40/63] lr: 6.6258e-03 eta: 8:36:08 time: 0.4880 data_time: 0.0191 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7599 loss_db: 0.2795 loss: 3.8945 2022/08/25 23:01:52 - mmengine - INFO - Epoch(train) [72][45/63] lr: 6.6258e-03 eta: 8:36:08 time: 0.3765 data_time: 0.0254 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7278 loss_db: 0.2871 loss: 3.8695 2022/08/25 23:01:54 - mmengine - INFO - Epoch(train) [72][50/63] lr: 6.6258e-03 eta: 8:35:55 time: 0.3797 data_time: 0.0250 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7303 loss_db: 0.2873 loss: 3.8732 2022/08/25 23:01:57 - mmengine - INFO - Epoch(train) [72][55/63] lr: 6.6258e-03 eta: 8:35:55 time: 0.4213 data_time: 0.0158 memory: 6760 loss_prob: 2.8557 loss_thr: 0.7227 loss_db: 0.2778 loss: 3.8562 2022/08/25 23:01:58 - mmengine - INFO - Epoch(train) [72][60/63] lr: 6.6258e-03 eta: 8:35:48 time: 0.4204 data_time: 0.0219 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7213 loss_db: 0.2826 loss: 3.8605 2022/08/25 23:01:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:02:03 - mmengine - INFO - Epoch(train) [73][5/63] lr: 6.6205e-03 eta: 8:35:48 time: 0.5105 data_time: 0.1622 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7810 loss_db: 0.3146 loss: 3.9533 2022/08/25 23:02:05 - mmengine - INFO - Epoch(train) [73][10/63] lr: 6.6205e-03 eta: 8:35:39 time: 0.5455 data_time: 0.1795 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7498 loss_db: 0.3054 loss: 3.9112 2022/08/25 23:02:07 - mmengine - INFO - Epoch(train) [73][15/63] lr: 6.6205e-03 eta: 8:35:39 time: 0.4186 data_time: 0.0267 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6881 loss_db: 0.2610 loss: 3.8044 2022/08/25 23:02:09 - mmengine - INFO - Epoch(train) [73][20/63] lr: 6.6205e-03 eta: 8:35:30 time: 0.4015 data_time: 0.0174 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6938 loss_db: 0.2839 loss: 3.8345 2022/08/25 23:02:11 - mmengine - INFO - Epoch(train) [73][25/63] lr: 6.6205e-03 eta: 8:35:30 time: 0.3682 data_time: 0.0224 memory: 6760 loss_prob: 2.8601 loss_thr: 0.7400 loss_db: 0.2768 loss: 3.8769 2022/08/25 23:02:13 - mmengine - INFO - Epoch(train) [73][30/63] lr: 6.6205e-03 eta: 8:35:25 time: 0.4342 data_time: 0.0160 memory: 6760 loss_prob: 2.8600 loss_thr: 0.7538 loss_db: 0.2567 loss: 3.8705 2022/08/25 23:02:15 - mmengine - INFO - Epoch(train) [73][35/63] lr: 6.6205e-03 eta: 8:35:25 time: 0.4659 data_time: 0.0267 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7617 loss_db: 0.2848 loss: 3.9025 2022/08/25 23:02:18 - mmengine - INFO - Epoch(train) [73][40/63] lr: 6.6205e-03 eta: 8:35:28 time: 0.4834 data_time: 0.0295 memory: 6760 loss_prob: 2.8538 loss_thr: 0.7636 loss_db: 0.2953 loss: 3.9126 2022/08/25 23:02:20 - mmengine - INFO - Epoch(train) [73][45/63] lr: 6.6205e-03 eta: 8:35:28 time: 0.4532 data_time: 0.0217 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7371 loss_db: 0.3075 loss: 3.8985 2022/08/25 23:02:22 - mmengine - INFO - Epoch(train) [73][50/63] lr: 6.6205e-03 eta: 8:35:16 time: 0.3809 data_time: 0.0234 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7186 loss_db: 0.2982 loss: 3.8709 2022/08/25 23:02:24 - mmengine - INFO - Epoch(train) [73][55/63] lr: 6.6205e-03 eta: 8:35:16 time: 0.3806 data_time: 0.0166 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7558 loss_db: 0.2903 loss: 3.8999 2022/08/25 23:02:26 - mmengine - INFO - Epoch(train) [73][60/63] lr: 6.6205e-03 eta: 8:35:03 time: 0.3791 data_time: 0.0212 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7439 loss_db: 0.2824 loss: 3.8821 2022/08/25 23:02:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:02:30 - mmengine - INFO - Epoch(train) [74][5/63] lr: 6.6152e-03 eta: 8:35:03 time: 0.5447 data_time: 0.1638 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7384 loss_db: 0.2798 loss: 3.8769 2022/08/25 23:02:32 - mmengine - INFO - Epoch(train) [74][10/63] lr: 6.6152e-03 eta: 8:34:48 time: 0.5094 data_time: 0.1669 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7608 loss_db: 0.3108 loss: 3.9301 2022/08/25 23:02:34 - mmengine - INFO - Epoch(train) [74][15/63] lr: 6.6152e-03 eta: 8:34:48 time: 0.3809 data_time: 0.0165 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7410 loss_db: 0.3026 loss: 3.9006 2022/08/25 23:02:36 - mmengine - INFO - Epoch(train) [74][20/63] lr: 6.6152e-03 eta: 8:34:40 time: 0.4078 data_time: 0.0242 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7321 loss_db: 0.2844 loss: 3.8721 2022/08/25 23:02:38 - mmengine - INFO - Epoch(train) [74][25/63] lr: 6.6152e-03 eta: 8:34:40 time: 0.3867 data_time: 0.0265 memory: 6760 loss_prob: 2.8546 loss_thr: 0.7191 loss_db: 0.2817 loss: 3.8554 2022/08/25 23:02:40 - mmengine - INFO - Epoch(train) [74][30/63] lr: 6.6152e-03 eta: 8:34:26 time: 0.3720 data_time: 0.0184 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7173 loss_db: 0.2793 loss: 3.8529 2022/08/25 23:02:42 - mmengine - INFO - Epoch(train) [74][35/63] lr: 6.6152e-03 eta: 8:34:26 time: 0.3859 data_time: 0.0231 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7355 loss_db: 0.2669 loss: 3.8611 2022/08/25 23:02:44 - mmengine - INFO - Epoch(train) [74][40/63] lr: 6.6152e-03 eta: 8:34:13 time: 0.3802 data_time: 0.0194 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7225 loss_db: 0.2781 loss: 3.8592 2022/08/25 23:02:46 - mmengine - INFO - Epoch(train) [74][45/63] lr: 6.6152e-03 eta: 8:34:13 time: 0.3745 data_time: 0.0163 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7438 loss_db: 0.2975 loss: 3.8984 2022/08/25 23:02:50 - mmengine - INFO - Epoch(train) [74][50/63] lr: 6.6152e-03 eta: 8:34:33 time: 0.5918 data_time: 0.0326 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7582 loss_db: 0.2953 loss: 3.9080 2022/08/25 23:02:51 - mmengine - INFO - Epoch(train) [74][55/63] lr: 6.6152e-03 eta: 8:34:33 time: 0.5814 data_time: 0.0295 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7445 loss_db: 0.2889 loss: 3.8884 2022/08/25 23:02:53 - mmengine - INFO - Epoch(train) [74][60/63] lr: 6.6152e-03 eta: 8:34:18 time: 0.3703 data_time: 0.0187 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7576 loss_db: 0.2869 loss: 3.9016 2022/08/25 23:02:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:02:58 - mmengine - INFO - Epoch(train) [75][5/63] lr: 6.6100e-03 eta: 8:34:18 time: 0.5067 data_time: 0.1449 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7283 loss_db: 0.2974 loss: 3.8822 2022/08/25 23:03:00 - mmengine - INFO - Epoch(train) [75][10/63] lr: 6.6100e-03 eta: 8:34:05 time: 0.5142 data_time: 0.1563 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7585 loss_db: 0.3086 loss: 3.9244 2022/08/25 23:03:01 - mmengine - INFO - Epoch(train) [75][15/63] lr: 6.6100e-03 eta: 8:34:05 time: 0.3688 data_time: 0.0247 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7445 loss_db: 0.2934 loss: 3.8941 2022/08/25 23:03:03 - mmengine - INFO - Epoch(train) [75][20/63] lr: 6.6100e-03 eta: 8:33:51 time: 0.3712 data_time: 0.0170 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7445 loss_db: 0.2926 loss: 3.8935 2022/08/25 23:03:05 - mmengine - INFO - Epoch(train) [75][25/63] lr: 6.6100e-03 eta: 8:33:51 time: 0.3720 data_time: 0.0183 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7563 loss_db: 0.2976 loss: 3.9106 2022/08/25 23:03:08 - mmengine - INFO - Epoch(train) [75][30/63] lr: 6.6100e-03 eta: 8:33:59 time: 0.5153 data_time: 0.0287 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7405 loss_db: 0.2965 loss: 3.8924 2022/08/25 23:03:10 - mmengine - INFO - Epoch(train) [75][35/63] lr: 6.6100e-03 eta: 8:33:59 time: 0.5208 data_time: 0.0336 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7184 loss_db: 0.2815 loss: 3.8551 2022/08/25 23:03:12 - mmengine - INFO - Epoch(train) [75][40/63] lr: 6.6100e-03 eta: 8:33:45 time: 0.3698 data_time: 0.0226 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7203 loss_db: 0.2782 loss: 3.8540 2022/08/25 23:03:14 - mmengine - INFO - Epoch(train) [75][45/63] lr: 6.6100e-03 eta: 8:33:45 time: 0.3619 data_time: 0.0180 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7317 loss_db: 0.2982 loss: 3.8850 2022/08/25 23:03:16 - mmengine - INFO - Epoch(train) [75][50/63] lr: 6.6100e-03 eta: 8:33:34 time: 0.3918 data_time: 0.0219 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7484 loss_db: 0.2902 loss: 3.8938 2022/08/25 23:03:18 - mmengine - INFO - Epoch(train) [75][55/63] lr: 6.6100e-03 eta: 8:33:34 time: 0.4521 data_time: 0.0463 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7464 loss_db: 0.2809 loss: 3.8822 2022/08/25 23:03:20 - mmengine - INFO - Epoch(train) [75][60/63] lr: 6.6100e-03 eta: 8:33:29 time: 0.4288 data_time: 0.0472 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7193 loss_db: 0.2868 loss: 3.8615 2022/08/25 23:03:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:03:25 - mmengine - INFO - Epoch(train) [76][5/63] lr: 6.6047e-03 eta: 8:33:29 time: 0.5733 data_time: 0.1869 memory: 6760 loss_prob: 2.8561 loss_thr: 0.7219 loss_db: 0.2932 loss: 3.8713 2022/08/25 23:03:27 - mmengine - INFO - Epoch(train) [76][10/63] lr: 6.6047e-03 eta: 8:33:22 time: 0.5597 data_time: 0.1898 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7209 loss_db: 0.2928 loss: 3.8688 2022/08/25 23:03:29 - mmengine - INFO - Epoch(train) [76][15/63] lr: 6.6047e-03 eta: 8:33:22 time: 0.3838 data_time: 0.0181 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7463 loss_db: 0.2838 loss: 3.8841 2022/08/25 23:03:31 - mmengine - INFO - Epoch(train) [76][20/63] lr: 6.6047e-03 eta: 8:33:09 time: 0.3779 data_time: 0.0215 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7280 loss_db: 0.2662 loss: 3.8481 2022/08/25 23:03:33 - mmengine - INFO - Epoch(train) [76][25/63] lr: 6.6047e-03 eta: 8:33:09 time: 0.3687 data_time: 0.0270 memory: 6760 loss_prob: 2.8543 loss_thr: 0.6864 loss_db: 0.2763 loss: 3.8170 2022/08/25 23:03:35 - mmengine - INFO - Epoch(train) [76][30/63] lr: 6.6047e-03 eta: 8:32:56 time: 0.3743 data_time: 0.0248 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7361 loss_db: 0.3015 loss: 3.8953 2022/08/25 23:03:38 - mmengine - INFO - Epoch(train) [76][35/63] lr: 6.6047e-03 eta: 8:32:56 time: 0.5224 data_time: 0.0230 memory: 6760 loss_prob: 2.8601 loss_thr: 0.7620 loss_db: 0.3037 loss: 3.9258 2022/08/25 23:03:40 - mmengine - INFO - Epoch(train) [76][40/63] lr: 6.6047e-03 eta: 8:33:04 time: 0.5174 data_time: 0.0194 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7325 loss_db: 0.2973 loss: 3.8870 2022/08/25 23:03:42 - mmengine - INFO - Epoch(train) [76][45/63] lr: 6.6047e-03 eta: 8:33:04 time: 0.3795 data_time: 0.0250 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7200 loss_db: 0.2896 loss: 3.8643 2022/08/25 23:03:44 - mmengine - INFO - Epoch(train) [76][50/63] lr: 6.6047e-03 eta: 8:32:50 time: 0.3714 data_time: 0.0242 memory: 6760 loss_prob: 2.8550 loss_thr: 0.6982 loss_db: 0.2791 loss: 3.8323 2022/08/25 23:03:46 - mmengine - INFO - Epoch(train) [76][55/63] lr: 6.6047e-03 eta: 8:32:50 time: 0.3627 data_time: 0.0155 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7199 loss_db: 0.2660 loss: 3.8434 2022/08/25 23:03:48 - mmengine - INFO - Epoch(train) [76][60/63] lr: 6.6047e-03 eta: 8:32:42 time: 0.4074 data_time: 0.0231 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7423 loss_db: 0.2678 loss: 3.8689 2022/08/25 23:03:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:03:52 - mmengine - INFO - Epoch(train) [77][5/63] lr: 6.5994e-03 eta: 8:32:42 time: 0.5198 data_time: 0.1671 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7594 loss_db: 0.2992 loss: 3.9182 2022/08/25 23:03:54 - mmengine - INFO - Epoch(train) [77][10/63] lr: 6.5994e-03 eta: 8:32:33 time: 0.5420 data_time: 0.1742 memory: 6760 loss_prob: 2.8598 loss_thr: 0.7417 loss_db: 0.2607 loss: 3.8622 2022/08/25 23:03:56 - mmengine - INFO - Epoch(train) [77][15/63] lr: 6.5994e-03 eta: 8:32:33 time: 0.3761 data_time: 0.0254 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7031 loss_db: 0.2632 loss: 3.8256 2022/08/25 23:03:58 - mmengine - INFO - Epoch(train) [77][20/63] lr: 6.5994e-03 eta: 8:32:21 time: 0.3856 data_time: 0.0192 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6920 loss_db: 0.2778 loss: 3.8298 2022/08/25 23:04:00 - mmengine - INFO - Epoch(train) [77][25/63] lr: 6.5994e-03 eta: 8:32:21 time: 0.3944 data_time: 0.0215 memory: 6760 loss_prob: 2.8600 loss_thr: 0.7090 loss_db: 0.2711 loss: 3.8402 2022/08/25 23:04:02 - mmengine - INFO - Epoch(train) [77][30/63] lr: 6.5994e-03 eta: 8:32:08 time: 0.3721 data_time: 0.0180 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7146 loss_db: 0.2678 loss: 3.8403 2022/08/25 23:04:04 - mmengine - INFO - Epoch(train) [77][35/63] lr: 6.5994e-03 eta: 8:32:08 time: 0.3776 data_time: 0.0224 memory: 6760 loss_prob: 2.8602 loss_thr: 0.7197 loss_db: 0.2791 loss: 3.8589 2022/08/25 23:04:05 - mmengine - INFO - Epoch(train) [77][40/63] lr: 6.5994e-03 eta: 8:31:56 time: 0.3832 data_time: 0.0244 memory: 6760 loss_prob: 2.8618 loss_thr: 0.7234 loss_db: 0.2841 loss: 3.8693 2022/08/25 23:04:09 - mmengine - INFO - Epoch(train) [77][45/63] lr: 6.5994e-03 eta: 8:31:56 time: 0.5288 data_time: 0.0270 memory: 6760 loss_prob: 2.8597 loss_thr: 0.7361 loss_db: 0.3088 loss: 3.9046 2022/08/25 23:04:11 - mmengine - INFO - Epoch(train) [77][50/63] lr: 6.5994e-03 eta: 8:32:05 time: 0.5262 data_time: 0.0272 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7196 loss_db: 0.3173 loss: 3.8925 2022/08/25 23:04:13 - mmengine - INFO - Epoch(train) [77][55/63] lr: 6.5994e-03 eta: 8:32:05 time: 0.3691 data_time: 0.0194 memory: 6760 loss_prob: 2.8543 loss_thr: 0.7196 loss_db: 0.3113 loss: 3.8853 2022/08/25 23:04:14 - mmengine - INFO - Epoch(train) [77][60/63] lr: 6.5994e-03 eta: 8:31:52 time: 0.3744 data_time: 0.0170 memory: 6760 loss_prob: 2.8592 loss_thr: 0.7544 loss_db: 0.3061 loss: 3.9197 2022/08/25 23:04:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:04:19 - mmengine - INFO - Epoch(train) [78][5/63] lr: 6.5941e-03 eta: 8:31:52 time: 0.5510 data_time: 0.1972 memory: 6760 loss_prob: 2.8646 loss_thr: 0.7130 loss_db: 0.2968 loss: 3.8744 2022/08/25 23:04:21 - mmengine - INFO - Epoch(train) [78][10/63] lr: 6.5941e-03 eta: 8:31:46 time: 0.5617 data_time: 0.2002 memory: 6760 loss_prob: 2.8604 loss_thr: 0.7256 loss_db: 0.2784 loss: 3.8645 2022/08/25 23:04:23 - mmengine - INFO - Epoch(train) [78][15/63] lr: 6.5941e-03 eta: 8:31:46 time: 0.3684 data_time: 0.0202 memory: 6760 loss_prob: 2.8518 loss_thr: 0.7270 loss_db: 0.2759 loss: 3.8547 2022/08/25 23:04:25 - mmengine - INFO - Epoch(train) [78][20/63] lr: 6.5941e-03 eta: 8:31:32 time: 0.3653 data_time: 0.0151 memory: 6760 loss_prob: 2.8517 loss_thr: 0.7239 loss_db: 0.2799 loss: 3.8555 2022/08/25 23:04:28 - mmengine - INFO - Epoch(train) [78][25/63] lr: 6.5941e-03 eta: 8:31:32 time: 0.5489 data_time: 0.0483 memory: 6760 loss_prob: 2.8514 loss_thr: 0.7642 loss_db: 0.2999 loss: 3.9155 2022/08/25 23:04:30 - mmengine - INFO - Epoch(train) [78][30/63] lr: 6.5941e-03 eta: 8:31:46 time: 0.5627 data_time: 0.0458 memory: 6760 loss_prob: 2.8509 loss_thr: 0.7242 loss_db: 0.2941 loss: 3.8692 2022/08/25 23:04:32 - mmengine - INFO - Epoch(train) [78][35/63] lr: 6.5941e-03 eta: 8:31:46 time: 0.3929 data_time: 0.0220 memory: 6760 loss_prob: 2.8523 loss_thr: 0.6892 loss_db: 0.2720 loss: 3.8135 2022/08/25 23:04:34 - mmengine - INFO - Epoch(train) [78][40/63] lr: 6.5941e-03 eta: 8:31:33 time: 0.3707 data_time: 0.0226 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7191 loss_db: 0.2636 loss: 3.8386 2022/08/25 23:04:36 - mmengine - INFO - Epoch(train) [78][45/63] lr: 6.5941e-03 eta: 8:31:33 time: 0.3636 data_time: 0.0165 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7386 loss_db: 0.2696 loss: 3.8660 2022/08/25 23:04:38 - mmengine - INFO - Epoch(train) [78][50/63] lr: 6.5941e-03 eta: 8:31:20 time: 0.3759 data_time: 0.0260 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7034 loss_db: 0.2808 loss: 3.8421 2022/08/25 23:04:40 - mmengine - INFO - Epoch(train) [78][55/63] lr: 6.5941e-03 eta: 8:31:20 time: 0.3807 data_time: 0.0228 memory: 6760 loss_prob: 2.8595 loss_thr: 0.7068 loss_db: 0.2809 loss: 3.8471 2022/08/25 23:04:42 - mmengine - INFO - Epoch(train) [78][60/63] lr: 6.5941e-03 eta: 8:31:07 time: 0.3738 data_time: 0.0174 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7309 loss_db: 0.2899 loss: 3.8789 2022/08/25 23:04:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:04:46 - mmengine - INFO - Epoch(train) [79][5/63] lr: 6.5888e-03 eta: 8:31:07 time: 0.5425 data_time: 0.1620 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7280 loss_db: 0.2741 loss: 3.8597 2022/08/25 23:04:48 - mmengine - INFO - Epoch(train) [79][10/63] lr: 6.5888e-03 eta: 8:31:02 time: 0.5677 data_time: 0.1824 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7402 loss_db: 0.2785 loss: 3.8768 2022/08/25 23:04:50 - mmengine - INFO - Epoch(train) [79][15/63] lr: 6.5888e-03 eta: 8:31:02 time: 0.3874 data_time: 0.0304 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7305 loss_db: 0.2759 loss: 3.8641 2022/08/25 23:04:52 - mmengine - INFO - Epoch(train) [79][20/63] lr: 6.5888e-03 eta: 8:30:48 time: 0.3686 data_time: 0.0119 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7193 loss_db: 0.2535 loss: 3.8304 2022/08/25 23:04:54 - mmengine - INFO - Epoch(train) [79][25/63] lr: 6.5888e-03 eta: 8:30:48 time: 0.3757 data_time: 0.0209 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6987 loss_db: 0.2635 loss: 3.8187 2022/08/25 23:04:56 - mmengine - INFO - Epoch(train) [79][30/63] lr: 6.5888e-03 eta: 8:30:35 time: 0.3752 data_time: 0.0164 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7200 loss_db: 0.3022 loss: 3.8790 2022/08/25 23:04:59 - mmengine - INFO - Epoch(train) [79][35/63] lr: 6.5888e-03 eta: 8:30:35 time: 0.5394 data_time: 0.0262 memory: 6760 loss_prob: 2.8584 loss_thr: 0.7560 loss_db: 0.3103 loss: 3.9247 2022/08/25 23:05:01 - mmengine - INFO - Epoch(train) [79][40/63] lr: 6.5888e-03 eta: 8:30:49 time: 0.5563 data_time: 0.0363 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7548 loss_db: 0.2949 loss: 3.9082 2022/08/25 23:05:03 - mmengine - INFO - Epoch(train) [79][45/63] lr: 6.5888e-03 eta: 8:30:49 time: 0.3760 data_time: 0.0255 memory: 6760 loss_prob: 2.8583 loss_thr: 0.7330 loss_db: 0.2866 loss: 3.8780 2022/08/25 23:05:05 - mmengine - INFO - Epoch(train) [79][50/63] lr: 6.5888e-03 eta: 8:30:34 time: 0.3607 data_time: 0.0229 memory: 6760 loss_prob: 2.8605 loss_thr: 0.7471 loss_db: 0.3009 loss: 3.9085 2022/08/25 23:05:07 - mmengine - INFO - Epoch(train) [79][55/63] lr: 6.5888e-03 eta: 8:30:34 time: 0.3942 data_time: 0.0293 memory: 6760 loss_prob: 2.8608 loss_thr: 0.7406 loss_db: 0.3056 loss: 3.9070 2022/08/25 23:05:09 - mmengine - INFO - Epoch(train) [79][60/63] lr: 6.5888e-03 eta: 8:30:24 time: 0.3976 data_time: 0.0270 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7185 loss_db: 0.3102 loss: 3.8877 2022/08/25 23:05:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:05:13 - mmengine - INFO - Epoch(train) [80][5/63] lr: 6.5835e-03 eta: 8:30:24 time: 0.4995 data_time: 0.1562 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7330 loss_db: 0.2998 loss: 3.8914 2022/08/25 23:05:15 - mmengine - INFO - Epoch(train) [80][10/63] lr: 6.5835e-03 eta: 8:30:13 time: 0.5202 data_time: 0.1696 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7291 loss_db: 0.2883 loss: 3.8747 2022/08/25 23:05:17 - mmengine - INFO - Epoch(train) [80][15/63] lr: 6.5835e-03 eta: 8:30:13 time: 0.4015 data_time: 0.0247 memory: 6760 loss_prob: 2.8554 loss_thr: 0.6950 loss_db: 0.2737 loss: 3.8241 2022/08/25 23:05:19 - mmengine - INFO - Epoch(train) [80][20/63] lr: 6.5835e-03 eta: 8:30:04 time: 0.4040 data_time: 0.0197 memory: 6760 loss_prob: 2.8538 loss_thr: 0.7126 loss_db: 0.2934 loss: 3.8597 2022/08/25 23:05:20 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:05:21 - mmengine - INFO - Epoch(train) [80][25/63] lr: 6.5835e-03 eta: 8:30:04 time: 0.3770 data_time: 0.0175 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7379 loss_db: 0.2925 loss: 3.8865 2022/08/25 23:05:23 - mmengine - INFO - Epoch(train) [80][30/63] lr: 6.5835e-03 eta: 8:29:50 time: 0.3659 data_time: 0.0156 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7517 loss_db: 0.2977 loss: 3.9075 2022/08/25 23:05:25 - mmengine - INFO - Epoch(train) [80][35/63] lr: 6.5835e-03 eta: 8:29:50 time: 0.3611 data_time: 0.0200 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7538 loss_db: 0.3033 loss: 3.9129 2022/08/25 23:05:27 - mmengine - INFO - Epoch(train) [80][40/63] lr: 6.5835e-03 eta: 8:29:46 time: 0.4350 data_time: 0.0319 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7387 loss_db: 0.2929 loss: 3.8864 2022/08/25 23:05:29 - mmengine - INFO - Epoch(train) [80][45/63] lr: 6.5835e-03 eta: 8:29:46 time: 0.4510 data_time: 0.0384 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7439 loss_db: 0.3003 loss: 3.9020 2022/08/25 23:05:31 - mmengine - INFO - Epoch(train) [80][50/63] lr: 6.5835e-03 eta: 8:29:33 time: 0.3715 data_time: 0.0211 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7324 loss_db: 0.2973 loss: 3.8859 2022/08/25 23:05:33 - mmengine - INFO - Epoch(train) [80][55/63] lr: 6.5835e-03 eta: 8:29:33 time: 0.3626 data_time: 0.0159 memory: 6760 loss_prob: 2.8532 loss_thr: 0.7402 loss_db: 0.3023 loss: 3.8957 2022/08/25 23:05:35 - mmengine - INFO - Epoch(train) [80][60/63] lr: 6.5835e-03 eta: 8:29:20 time: 0.3717 data_time: 0.0204 memory: 6760 loss_prob: 2.8539 loss_thr: 0.7644 loss_db: 0.3406 loss: 3.9590 2022/08/25 23:05:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:05:36 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/25 23:05:41 - mmengine - INFO - Epoch(val) [80][5/500] eta: 8:29:20 time: 0.4735 data_time: 0.0298 memory: 6760 2022/08/25 23:05:43 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:03:53 time: 0.4771 data_time: 0.0229 memory: 425 2022/08/25 23:05:45 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:03:53 time: 0.4007 data_time: 0.0031 memory: 425 2022/08/25 23:05:47 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:03:14 time: 0.4043 data_time: 0.0033 memory: 425 2022/08/25 23:05:49 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:03:14 time: 0.4014 data_time: 0.0039 memory: 425 2022/08/25 23:05:51 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:03:29 time: 0.4456 data_time: 0.0028 memory: 425 2022/08/25 23:05:54 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:03:29 time: 0.4929 data_time: 0.0023 memory: 425 2022/08/25 23:05:56 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:03:34 time: 0.4660 data_time: 0.0028 memory: 425 2022/08/25 23:05:59 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:03:34 time: 0.4954 data_time: 0.0122 memory: 425 2022/08/25 23:06:01 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:03:41 time: 0.4915 data_time: 0.0136 memory: 425 2022/08/25 23:06:03 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:03:41 time: 0.4456 data_time: 0.0044 memory: 425 2022/08/25 23:06:05 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:02:55 time: 0.3978 data_time: 0.0024 memory: 425 2022/08/25 23:06:08 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:02:55 time: 0.4497 data_time: 0.0041 memory: 425 2022/08/25 23:06:10 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:03:34 time: 0.4992 data_time: 0.0045 memory: 425 2022/08/25 23:06:12 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:03:34 time: 0.4152 data_time: 0.0024 memory: 425 2022/08/25 23:06:14 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:02:41 time: 0.3856 data_time: 0.0020 memory: 425 2022/08/25 23:06:16 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:02:41 time: 0.3728 data_time: 0.0021 memory: 425 2022/08/25 23:06:19 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:03:13 time: 0.4713 data_time: 0.0109 memory: 425 2022/08/25 23:06:21 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:03:13 time: 0.4955 data_time: 0.0128 memory: 425 2022/08/25 23:06:23 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:02:39 time: 0.3985 data_time: 0.0042 memory: 425 2022/08/25 23:06:25 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:02:39 time: 0.4139 data_time: 0.0021 memory: 425 2022/08/25 23:06:27 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:02:44 time: 0.4210 data_time: 0.0032 memory: 425 2022/08/25 23:06:29 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:02:44 time: 0.4290 data_time: 0.0057 memory: 425 2022/08/25 23:06:31 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:02:43 time: 0.4299 data_time: 0.0045 memory: 425 2022/08/25 23:06:33 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:02:43 time: 0.4066 data_time: 0.0020 memory: 425 2022/08/25 23:06:35 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:02:15 time: 0.3675 data_time: 0.0020 memory: 425 2022/08/25 23:06:38 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:02:15 time: 0.4510 data_time: 0.0320 memory: 425 2022/08/25 23:06:39 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:02:48 time: 0.4676 data_time: 0.0339 memory: 425 2022/08/25 23:06:42 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:02:48 time: 0.3966 data_time: 0.0040 memory: 425 2022/08/25 23:06:44 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:02:34 time: 0.4404 data_time: 0.0022 memory: 425 2022/08/25 23:06:46 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:02:34 time: 0.4842 data_time: 0.0022 memory: 425 2022/08/25 23:06:49 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:02:55 time: 0.5166 data_time: 0.0086 memory: 425 2022/08/25 23:06:51 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:02:55 time: 0.4793 data_time: 0.0087 memory: 425 2022/08/25 23:06:54 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:02:31 time: 0.4578 data_time: 0.0023 memory: 425 2022/08/25 23:06:55 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:02:31 time: 0.4252 data_time: 0.0021 memory: 425 2022/08/25 23:06:58 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:02:32 time: 0.4759 data_time: 0.0205 memory: 425 2022/08/25 23:07:01 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:02:32 time: 0.5267 data_time: 0.0220 memory: 425 2022/08/25 23:07:03 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:02:24 time: 0.4654 data_time: 0.0037 memory: 425 2022/08/25 23:07:05 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:02:24 time: 0.4154 data_time: 0.0021 memory: 425 2022/08/25 23:07:08 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:02:21 time: 0.4726 data_time: 0.0106 memory: 425 2022/08/25 23:07:10 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:02:21 time: 0.4711 data_time: 0.0112 memory: 425 2022/08/25 23:07:11 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:01:48 time: 0.3743 data_time: 0.0025 memory: 425 2022/08/25 23:07:13 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:01:48 time: 0.3930 data_time: 0.0019 memory: 425 2022/08/25 23:07:15 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:01:52 time: 0.4025 data_time: 0.0020 memory: 425 2022/08/25 23:07:19 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:01:52 time: 0.5326 data_time: 0.0225 memory: 425 2022/08/25 23:07:21 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:02:20 time: 0.5187 data_time: 0.0247 memory: 425 2022/08/25 23:07:23 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:02:20 time: 0.3939 data_time: 0.0041 memory: 425 2022/08/25 23:07:25 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:01:52 time: 0.4332 data_time: 0.0020 memory: 425 2022/08/25 23:07:27 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:01:52 time: 0.4661 data_time: 0.0039 memory: 425 2022/08/25 23:07:29 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:01:51 time: 0.4446 data_time: 0.0044 memory: 425 2022/08/25 23:07:31 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:01:51 time: 0.3929 data_time: 0.0025 memory: 425 2022/08/25 23:07:33 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:01:33 time: 0.3875 data_time: 0.0019 memory: 425 2022/08/25 23:07:35 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:01:33 time: 0.4027 data_time: 0.0023 memory: 425 2022/08/25 23:07:39 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:01:58 time: 0.5164 data_time: 0.0267 memory: 425 2022/08/25 23:07:40 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:01:58 time: 0.4992 data_time: 0.0268 memory: 425 2022/08/25 23:07:43 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:01:33 time: 0.4243 data_time: 0.0024 memory: 425 2022/08/25 23:07:45 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:01:33 time: 0.4181 data_time: 0.0020 memory: 425 2022/08/25 23:07:47 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:01:31 time: 0.4358 data_time: 0.0021 memory: 425 2022/08/25 23:07:50 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:01:31 time: 0.5615 data_time: 0.0162 memory: 425 2022/08/25 23:07:52 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:01:41 time: 0.5098 data_time: 0.0161 memory: 425 2022/08/25 23:07:54 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:01:41 time: 0.3836 data_time: 0.0019 memory: 425 2022/08/25 23:07:56 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:01:14 time: 0.3919 data_time: 0.0020 memory: 425 2022/08/25 23:07:59 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:01:14 time: 0.4947 data_time: 0.0120 memory: 425 2022/08/25 23:08:01 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:01:25 time: 0.4774 data_time: 0.0132 memory: 425 2022/08/25 23:08:04 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:01:25 time: 0.4599 data_time: 0.0032 memory: 425 2022/08/25 23:08:06 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:01:18 time: 0.4595 data_time: 0.0020 memory: 425 2022/08/25 23:08:09 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:01:18 time: 0.5126 data_time: 0.0069 memory: 425 2022/08/25 23:08:11 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:01:31 time: 0.5698 data_time: 0.0081 memory: 425 2022/08/25 23:08:13 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:01:31 time: 0.4484 data_time: 0.0031 memory: 425 2022/08/25 23:08:16 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:01:11 time: 0.4797 data_time: 0.0019 memory: 425 2022/08/25 23:08:18 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:01:11 time: 0.5273 data_time: 0.0187 memory: 425 2022/08/25 23:08:21 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:01:04 time: 0.4578 data_time: 0.0192 memory: 425 2022/08/25 23:08:23 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:01:04 time: 0.4030 data_time: 0.0024 memory: 425 2022/08/25 23:08:24 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:47 time: 0.3641 data_time: 0.0019 memory: 425 2022/08/25 23:08:26 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:47 time: 0.3492 data_time: 0.0019 memory: 425 2022/08/25 23:08:29 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:58 time: 0.4837 data_time: 0.0042 memory: 425 2022/08/25 23:08:31 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:58 time: 0.5125 data_time: 0.0139 memory: 425 2022/08/25 23:08:33 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:44 time: 0.4086 data_time: 0.0116 memory: 425 2022/08/25 23:08:35 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:44 time: 0.3878 data_time: 0.0019 memory: 425 2022/08/25 23:08:38 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:43 time: 0.4357 data_time: 0.0072 memory: 425 2022/08/25 23:08:40 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:43 time: 0.4534 data_time: 0.0082 memory: 425 2022/08/25 23:08:42 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:37 time: 0.4209 data_time: 0.0030 memory: 425 2022/08/25 23:08:44 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:37 time: 0.4033 data_time: 0.0020 memory: 425 2022/08/25 23:08:45 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:28 time: 0.3533 data_time: 0.0019 memory: 425 2022/08/25 23:08:49 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:28 time: 0.5080 data_time: 0.0136 memory: 425 2022/08/25 23:08:51 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:37 time: 0.5346 data_time: 0.0150 memory: 425 2022/08/25 23:08:52 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:37 time: 0.3832 data_time: 0.0033 memory: 425 2022/08/25 23:08:54 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:22 time: 0.3770 data_time: 0.0020 memory: 425 2022/08/25 23:08:57 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:22 time: 0.4213 data_time: 0.0021 memory: 425 2022/08/25 23:08:59 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:22 time: 0.4566 data_time: 0.0062 memory: 425 2022/08/25 23:09:01 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:22 time: 0.4510 data_time: 0.0060 memory: 425 2022/08/25 23:09:03 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:16 time: 0.4021 data_time: 0.0020 memory: 425 2022/08/25 23:09:05 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:16 time: 0.3578 data_time: 0.0024 memory: 425 2022/08/25 23:09:08 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:14 time: 0.4947 data_time: 0.0023 memory: 425 2022/08/25 23:09:10 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:14 time: 0.4985 data_time: 0.0059 memory: 425 2022/08/25 23:09:12 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:07 time: 0.3875 data_time: 0.0060 memory: 425 2022/08/25 23:09:14 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:07 time: 0.3842 data_time: 0.0020 memory: 425 2022/08/25 23:09:16 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:03 time: 0.3902 data_time: 0.0020 memory: 425 2022/08/25 23:09:18 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:03 time: 0.4567 data_time: 0.0056 memory: 425 2022/08/25 23:09:20 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.4329 data_time: 0.0056 memory: 425 2022/08/25 23:09:20 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:09:20 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0010, precision: 0.0000, hmean: 0.0000 2022/08/25 23:09:20 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:09:20 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:09:20 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:09:20 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:09:20 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:09:20 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:09:20 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.0000 icdar/recall: 0.0010 icdar/hmean: 0.0000 2022/08/25 23:09:26 - mmengine - INFO - Epoch(train) [81][5/63] lr: 6.5782e-03 eta: 0:00:00 time: 0.6970 data_time: 0.2193 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7803 loss_db: 0.3205 loss: 3.9577 2022/08/25 23:09:27 - mmengine - INFO - Epoch(train) [81][10/63] lr: 6.5782e-03 eta: 8:29:36 time: 0.7189 data_time: 0.2268 memory: 6760 loss_prob: 2.8530 loss_thr: 0.7337 loss_db: 0.3086 loss: 3.8954 2022/08/25 23:09:29 - mmengine - INFO - Epoch(train) [81][15/63] lr: 6.5782e-03 eta: 8:29:36 time: 0.3745 data_time: 0.0212 memory: 6760 loss_prob: 2.8510 loss_thr: 0.7323 loss_db: 0.3063 loss: 3.8896 2022/08/25 23:09:31 - mmengine - INFO - Epoch(train) [81][20/63] lr: 6.5782e-03 eta: 8:29:24 time: 0.3763 data_time: 0.0167 memory: 6760 loss_prob: 2.8524 loss_thr: 0.7447 loss_db: 0.2986 loss: 3.8957 2022/08/25 23:09:33 - mmengine - INFO - Epoch(train) [81][25/63] lr: 6.5782e-03 eta: 8:29:24 time: 0.3959 data_time: 0.0239 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7183 loss_db: 0.2697 loss: 3.8422 2022/08/25 23:09:35 - mmengine - INFO - Epoch(train) [81][30/63] lr: 6.5782e-03 eta: 8:29:11 time: 0.3742 data_time: 0.0212 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7143 loss_db: 0.2805 loss: 3.8508 2022/08/25 23:09:40 - mmengine - INFO - Epoch(train) [81][35/63] lr: 6.5782e-03 eta: 8:29:11 time: 0.6291 data_time: 0.0515 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6870 loss_db: 0.2865 loss: 3.8296 2022/08/25 23:09:42 - mmengine - INFO - Epoch(train) [81][40/63] lr: 6.5782e-03 eta: 8:29:38 time: 0.6570 data_time: 0.0561 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6987 loss_db: 0.2517 loss: 3.8077 2022/08/25 23:09:43 - mmengine - INFO - Epoch(train) [81][45/63] lr: 6.5782e-03 eta: 8:29:38 time: 0.3858 data_time: 0.0286 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7391 loss_db: 0.2672 loss: 3.8638 2022/08/25 23:09:45 - mmengine - INFO - Epoch(train) [81][50/63] lr: 6.5782e-03 eta: 8:29:25 time: 0.3739 data_time: 0.0275 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7494 loss_db: 0.3114 loss: 3.9159 2022/08/25 23:09:47 - mmengine - INFO - Epoch(train) [81][55/63] lr: 6.5782e-03 eta: 8:29:25 time: 0.3817 data_time: 0.0181 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7354 loss_db: 0.2919 loss: 3.8826 2022/08/25 23:09:49 - mmengine - INFO - Epoch(train) [81][60/63] lr: 6.5782e-03 eta: 8:29:13 time: 0.3781 data_time: 0.0211 memory: 6760 loss_prob: 2.8557 loss_thr: 0.7161 loss_db: 0.2926 loss: 3.8645 2022/08/25 23:09:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:09:53 - mmengine - INFO - Epoch(train) [82][5/63] lr: 6.5729e-03 eta: 8:29:13 time: 0.5134 data_time: 0.1494 memory: 6760 loss_prob: 2.8548 loss_thr: 0.6721 loss_db: 0.2566 loss: 3.7835 2022/08/25 23:09:55 - mmengine - INFO - Epoch(train) [82][10/63] lr: 6.5729e-03 eta: 8:29:04 time: 0.5370 data_time: 0.1565 memory: 6760 loss_prob: 2.8554 loss_thr: 0.6958 loss_db: 0.2623 loss: 3.8135 2022/08/25 23:09:58 - mmengine - INFO - Epoch(train) [82][15/63] lr: 6.5729e-03 eta: 8:29:04 time: 0.4412 data_time: 0.0327 memory: 6760 loss_prob: 2.8548 loss_thr: 0.7122 loss_db: 0.2646 loss: 3.8317 2022/08/25 23:10:00 - mmengine - INFO - Epoch(train) [82][20/63] lr: 6.5729e-03 eta: 8:29:00 time: 0.4371 data_time: 0.0321 memory: 6760 loss_prob: 2.8534 loss_thr: 0.7048 loss_db: 0.2760 loss: 3.8342 2022/08/25 23:10:01 - mmengine - INFO - Epoch(train) [82][25/63] lr: 6.5729e-03 eta: 8:29:00 time: 0.3579 data_time: 0.0176 memory: 6760 loss_prob: 2.8546 loss_thr: 0.7375 loss_db: 0.2954 loss: 3.8875 2022/08/25 23:10:03 - mmengine - INFO - Epoch(train) [82][30/63] lr: 6.5729e-03 eta: 8:28:48 time: 0.3772 data_time: 0.0188 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7510 loss_db: 0.2919 loss: 3.9014 2022/08/25 23:10:05 - mmengine - INFO - Epoch(train) [82][35/63] lr: 6.5729e-03 eta: 8:28:48 time: 0.3925 data_time: 0.0254 memory: 6760 loss_prob: 2.8607 loss_thr: 0.7335 loss_db: 0.2987 loss: 3.8928 2022/08/25 23:10:08 - mmengine - INFO - Epoch(train) [82][40/63] lr: 6.5729e-03 eta: 8:28:45 time: 0.4383 data_time: 0.0234 memory: 6760 loss_prob: 2.8606 loss_thr: 0.7420 loss_db: 0.2964 loss: 3.8990 2022/08/25 23:10:10 - mmengine - INFO - Epoch(train) [82][45/63] lr: 6.5729e-03 eta: 8:28:45 time: 0.4422 data_time: 0.0260 memory: 6760 loss_prob: 2.8603 loss_thr: 0.7539 loss_db: 0.2994 loss: 3.9136 2022/08/25 23:10:12 - mmengine - INFO - Epoch(train) [82][50/63] lr: 6.5729e-03 eta: 8:28:33 time: 0.3786 data_time: 0.0224 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7354 loss_db: 0.3075 loss: 3.9008 2022/08/25 23:10:14 - mmengine - INFO - Epoch(train) [82][55/63] lr: 6.5729e-03 eta: 8:28:33 time: 0.3718 data_time: 0.0160 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7161 loss_db: 0.2791 loss: 3.8512 2022/08/25 23:10:15 - mmengine - INFO - Epoch(train) [82][60/63] lr: 6.5729e-03 eta: 8:28:21 time: 0.3758 data_time: 0.0215 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7056 loss_db: 0.2686 loss: 3.8308 2022/08/25 23:10:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:10:21 - mmengine - INFO - Epoch(train) [83][5/63] lr: 6.5676e-03 eta: 8:28:21 time: 0.6815 data_time: 0.2499 memory: 6760 loss_prob: 2.8615 loss_thr: 0.7721 loss_db: 0.3356 loss: 3.9691 2022/08/25 23:10:23 - mmengine - INFO - Epoch(train) [83][10/63] lr: 6.5676e-03 eta: 8:28:35 time: 0.7064 data_time: 0.2580 memory: 6760 loss_prob: 2.8561 loss_thr: 0.7526 loss_db: 0.2829 loss: 3.8916 2022/08/25 23:10:25 - mmengine - INFO - Epoch(train) [83][15/63] lr: 6.5676e-03 eta: 8:28:35 time: 0.3798 data_time: 0.0202 memory: 6760 loss_prob: 2.8529 loss_thr: 0.7225 loss_db: 0.2871 loss: 3.8625 2022/08/25 23:10:27 - mmengine - INFO - Epoch(train) [83][20/63] lr: 6.5676e-03 eta: 8:28:25 time: 0.3914 data_time: 0.0173 memory: 6760 loss_prob: 2.8532 loss_thr: 0.7428 loss_db: 0.2944 loss: 3.8905 2022/08/25 23:10:30 - mmengine - INFO - Epoch(train) [83][25/63] lr: 6.5676e-03 eta: 8:28:25 time: 0.4244 data_time: 0.0330 memory: 6760 loss_prob: 2.8522 loss_thr: 0.7396 loss_db: 0.2834 loss: 3.8752 2022/08/25 23:10:31 - mmengine - INFO - Epoch(train) [83][30/63] lr: 6.5676e-03 eta: 8:28:18 time: 0.4145 data_time: 0.0240 memory: 6760 loss_prob: 2.8525 loss_thr: 0.7111 loss_db: 0.2728 loss: 3.8364 2022/08/25 23:10:33 - mmengine - INFO - Epoch(train) [83][35/63] lr: 6.5676e-03 eta: 8:28:18 time: 0.3788 data_time: 0.0167 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7179 loss_db: 0.2831 loss: 3.8546 2022/08/25 23:10:35 - mmengine - INFO - Epoch(train) [83][40/63] lr: 6.5676e-03 eta: 8:28:04 time: 0.3643 data_time: 0.0206 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7190 loss_db: 0.2885 loss: 3.8610 2022/08/25 23:10:38 - mmengine - INFO - Epoch(train) [83][45/63] lr: 6.5676e-03 eta: 8:28:04 time: 0.4439 data_time: 0.0330 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7345 loss_db: 0.2830 loss: 3.8750 2022/08/25 23:10:40 - mmengine - INFO - Epoch(train) [83][50/63] lr: 6.5676e-03 eta: 8:28:03 time: 0.4601 data_time: 0.0480 memory: 6760 loss_prob: 2.8600 loss_thr: 0.7482 loss_db: 0.2749 loss: 3.8830 2022/08/25 23:10:42 - mmengine - INFO - Epoch(train) [83][55/63] lr: 6.5676e-03 eta: 8:28:03 time: 0.3871 data_time: 0.0292 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7332 loss_db: 0.2633 loss: 3.8545 2022/08/25 23:10:43 - mmengine - INFO - Epoch(train) [83][60/63] lr: 6.5676e-03 eta: 8:27:51 time: 0.3693 data_time: 0.0143 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7202 loss_db: 0.2619 loss: 3.8397 2022/08/25 23:10:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:10:48 - mmengine - INFO - Epoch(train) [84][5/63] lr: 6.5623e-03 eta: 8:27:51 time: 0.4814 data_time: 0.1366 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7183 loss_db: 0.3001 loss: 3.8771 2022/08/25 23:10:50 - mmengine - INFO - Epoch(train) [84][10/63] lr: 6.5623e-03 eta: 8:27:38 time: 0.5144 data_time: 0.1414 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7214 loss_db: 0.2986 loss: 3.8782 2022/08/25 23:10:51 - mmengine - INFO - Epoch(train) [84][15/63] lr: 6.5623e-03 eta: 8:27:38 time: 0.3899 data_time: 0.0241 memory: 6760 loss_prob: 2.8610 loss_thr: 0.7103 loss_db: 0.2705 loss: 3.8418 2022/08/25 23:10:53 - mmengine - INFO - Epoch(train) [84][20/63] lr: 6.5623e-03 eta: 8:27:27 time: 0.3822 data_time: 0.0228 memory: 6760 loss_prob: 2.8614 loss_thr: 0.7049 loss_db: 0.2941 loss: 3.8604 2022/08/25 23:10:55 - mmengine - INFO - Epoch(train) [84][25/63] lr: 6.5623e-03 eta: 8:27:27 time: 0.3904 data_time: 0.0214 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7179 loss_db: 0.2828 loss: 3.8578 2022/08/25 23:10:58 - mmengine - INFO - Epoch(train) [84][30/63] lr: 6.5623e-03 eta: 8:27:31 time: 0.4897 data_time: 0.0295 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7123 loss_db: 0.2906 loss: 3.8581 2022/08/25 23:11:00 - mmengine - INFO - Epoch(train) [84][35/63] lr: 6.5623e-03 eta: 8:27:31 time: 0.4817 data_time: 0.0252 memory: 6760 loss_prob: 2.8546 loss_thr: 0.7078 loss_db: 0.3084 loss: 3.8708 2022/08/25 23:11:02 - mmengine - INFO - Epoch(train) [84][40/63] lr: 6.5623e-03 eta: 8:27:18 time: 0.3700 data_time: 0.0227 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7661 loss_db: 0.3075 loss: 3.9294 2022/08/25 23:11:04 - mmengine - INFO - Epoch(train) [84][45/63] lr: 6.5623e-03 eta: 8:27:18 time: 0.3711 data_time: 0.0228 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7806 loss_db: 0.3318 loss: 3.9689 2022/08/25 23:11:06 - mmengine - INFO - Epoch(train) [84][50/63] lr: 6.5623e-03 eta: 8:27:06 time: 0.3777 data_time: 0.0200 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7553 loss_db: 0.3259 loss: 3.9379 2022/08/25 23:11:09 - mmengine - INFO - Epoch(train) [84][55/63] lr: 6.5623e-03 eta: 8:27:06 time: 0.4949 data_time: 0.0192 memory: 6760 loss_prob: 2.8557 loss_thr: 0.7322 loss_db: 0.3036 loss: 3.8916 2022/08/25 23:11:11 - mmengine - INFO - Epoch(train) [84][60/63] lr: 6.5623e-03 eta: 8:27:09 time: 0.4884 data_time: 0.0158 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7135 loss_db: 0.2808 loss: 3.8519 2022/08/25 23:11:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:11:15 - mmengine - INFO - Epoch(train) [85][5/63] lr: 6.5571e-03 eta: 8:27:09 time: 0.5203 data_time: 0.1607 memory: 6760 loss_prob: 2.8566 loss_thr: 0.7424 loss_db: 0.2793 loss: 3.8783 2022/08/25 23:11:18 - mmengine - INFO - Epoch(train) [85][10/63] lr: 6.5571e-03 eta: 8:27:06 time: 0.5821 data_time: 0.1953 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7376 loss_db: 0.2939 loss: 3.8870 2022/08/25 23:11:20 - mmengine - INFO - Epoch(train) [85][15/63] lr: 6.5571e-03 eta: 8:27:06 time: 0.4412 data_time: 0.0574 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7326 loss_db: 0.3076 loss: 3.8973 2022/08/25 23:11:22 - mmengine - INFO - Epoch(train) [85][20/63] lr: 6.5571e-03 eta: 8:26:57 time: 0.3925 data_time: 0.0241 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7157 loss_db: 0.2832 loss: 3.8577 2022/08/25 23:11:23 - mmengine - INFO - Epoch(train) [85][25/63] lr: 6.5571e-03 eta: 8:26:57 time: 0.3919 data_time: 0.0275 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7072 loss_db: 0.2887 loss: 3.8546 2022/08/25 23:11:25 - mmengine - INFO - Epoch(train) [85][30/63] lr: 6.5571e-03 eta: 8:26:45 time: 0.3774 data_time: 0.0214 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6946 loss_db: 0.3025 loss: 3.8537 2022/08/25 23:11:29 - mmengine - INFO - Epoch(train) [85][35/63] lr: 6.5571e-03 eta: 8:26:45 time: 0.5112 data_time: 0.0213 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7330 loss_db: 0.3067 loss: 3.8950 2022/08/25 23:11:30 - mmengine - INFO - Epoch(train) [85][40/63] lr: 6.5571e-03 eta: 8:26:51 time: 0.5121 data_time: 0.0277 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7383 loss_db: 0.2958 loss: 3.8897 2022/08/25 23:11:32 - mmengine - INFO - Epoch(train) [85][45/63] lr: 6.5571e-03 eta: 8:26:51 time: 0.3766 data_time: 0.0242 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6998 loss_db: 0.2729 loss: 3.8279 2022/08/25 23:11:34 - mmengine - INFO - Epoch(train) [85][50/63] lr: 6.5571e-03 eta: 8:26:42 time: 0.3942 data_time: 0.0276 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7257 loss_db: 0.2865 loss: 3.8688 2022/08/25 23:11:36 - mmengine - INFO - Epoch(train) [85][55/63] lr: 6.5571e-03 eta: 8:26:42 time: 0.3770 data_time: 0.0227 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7407 loss_db: 0.3133 loss: 3.9099 2022/08/25 23:11:38 - mmengine - INFO - Epoch(train) [85][60/63] lr: 6.5571e-03 eta: 8:26:32 time: 0.3919 data_time: 0.0208 memory: 6760 loss_prob: 2.8544 loss_thr: 0.7417 loss_db: 0.3128 loss: 3.9089 2022/08/25 23:11:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:11:43 - mmengine - INFO - Epoch(train) [86][5/63] lr: 6.5518e-03 eta: 8:26:32 time: 0.5396 data_time: 0.1791 memory: 6760 loss_prob: 2.8536 loss_thr: 0.7901 loss_db: 0.2970 loss: 3.9407 2022/08/25 23:11:45 - mmengine - INFO - Epoch(train) [86][10/63] lr: 6.5518e-03 eta: 8:26:27 time: 0.5697 data_time: 0.2011 memory: 6760 loss_prob: 2.8527 loss_thr: 0.7631 loss_db: 0.2995 loss: 3.9153 2022/08/25 23:11:47 - mmengine - INFO - Epoch(train) [86][15/63] lr: 6.5518e-03 eta: 8:26:27 time: 0.3934 data_time: 0.0312 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7238 loss_db: 0.2959 loss: 3.8741 2022/08/25 23:11:49 - mmengine - INFO - Epoch(train) [86][20/63] lr: 6.5518e-03 eta: 8:26:17 time: 0.3847 data_time: 0.0194 memory: 6760 loss_prob: 2.8546 loss_thr: 0.7288 loss_db: 0.3001 loss: 3.8834 2022/08/25 23:11:51 - mmengine - INFO - Epoch(train) [86][25/63] lr: 6.5518e-03 eta: 8:26:17 time: 0.3867 data_time: 0.0265 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7305 loss_db: 0.2989 loss: 3.8844 2022/08/25 23:11:53 - mmengine - INFO - Epoch(train) [86][30/63] lr: 6.5518e-03 eta: 8:26:04 time: 0.3688 data_time: 0.0160 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7314 loss_db: 0.2738 loss: 3.8627 2022/08/25 23:11:54 - mmengine - INFO - Epoch(train) [86][35/63] lr: 6.5518e-03 eta: 8:26:04 time: 0.3603 data_time: 0.0172 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7314 loss_db: 0.2784 loss: 3.8674 2022/08/25 23:11:56 - mmengine - INFO - Epoch(train) [86][40/63] lr: 6.5518e-03 eta: 8:25:53 time: 0.3782 data_time: 0.0232 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7382 loss_db: 0.2937 loss: 3.8881 2022/08/25 23:12:00 - mmengine - INFO - Epoch(train) [86][45/63] lr: 6.5518e-03 eta: 8:25:53 time: 0.5273 data_time: 0.0931 memory: 6760 loss_prob: 2.8561 loss_thr: 0.7228 loss_db: 0.2802 loss: 3.8591 2022/08/25 23:12:02 - mmengine - INFO - Epoch(train) [86][50/63] lr: 6.5518e-03 eta: 8:26:02 time: 0.5406 data_time: 0.0972 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6926 loss_db: 0.2695 loss: 3.8201 2022/08/25 23:12:04 - mmengine - INFO - Epoch(train) [86][55/63] lr: 6.5518e-03 eta: 8:26:02 time: 0.3931 data_time: 0.0221 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6830 loss_db: 0.2590 loss: 3.8014 2022/08/25 23:12:05 - mmengine - INFO - Epoch(train) [86][60/63] lr: 6.5518e-03 eta: 8:25:50 time: 0.3710 data_time: 0.0164 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6787 loss_db: 0.2477 loss: 3.7859 2022/08/25 23:12:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:12:10 - mmengine - INFO - Epoch(train) [87][5/63] lr: 6.5465e-03 eta: 8:25:50 time: 0.4850 data_time: 0.1461 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7001 loss_db: 0.2748 loss: 3.8323 2022/08/25 23:12:11 - mmengine - INFO - Epoch(train) [87][10/63] lr: 6.5465e-03 eta: 8:25:38 time: 0.5096 data_time: 0.1450 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7015 loss_db: 0.2744 loss: 3.8338 2022/08/25 23:12:13 - mmengine - INFO - Epoch(train) [87][15/63] lr: 6.5465e-03 eta: 8:25:38 time: 0.3791 data_time: 0.0187 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6923 loss_db: 0.2651 loss: 3.8161 2022/08/25 23:12:15 - mmengine - INFO - Epoch(train) [87][20/63] lr: 6.5465e-03 eta: 8:25:25 time: 0.3711 data_time: 0.0200 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6934 loss_db: 0.2639 loss: 3.8149 2022/08/25 23:12:19 - mmengine - INFO - Epoch(train) [87][25/63] lr: 6.5465e-03 eta: 8:25:25 time: 0.5976 data_time: 0.0168 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7021 loss_db: 0.2705 loss: 3.8313 2022/08/25 23:12:22 - mmengine - INFO - Epoch(train) [87][30/63] lr: 6.5465e-03 eta: 8:25:48 time: 0.6411 data_time: 0.0293 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6843 loss_db: 0.2501 loss: 3.7943 2022/08/25 23:12:23 - mmengine - INFO - Epoch(train) [87][35/63] lr: 6.5465e-03 eta: 8:25:48 time: 0.4151 data_time: 0.0295 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6956 loss_db: 0.2684 loss: 3.8233 2022/08/25 23:12:25 - mmengine - INFO - Epoch(train) [87][40/63] lr: 6.5465e-03 eta: 8:25:37 time: 0.3807 data_time: 0.0160 memory: 6760 loss_prob: 2.8600 loss_thr: 0.7323 loss_db: 0.3011 loss: 3.8934 2022/08/25 23:12:27 - mmengine - INFO - Epoch(train) [87][45/63] lr: 6.5465e-03 eta: 8:25:37 time: 0.3834 data_time: 0.0228 memory: 6760 loss_prob: 2.8601 loss_thr: 0.7330 loss_db: 0.3021 loss: 3.8952 2022/08/25 23:12:29 - mmengine - INFO - Epoch(train) [87][50/63] lr: 6.5465e-03 eta: 8:25:25 time: 0.3737 data_time: 0.0203 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7326 loss_db: 0.3150 loss: 3.9072 2022/08/25 23:12:31 - mmengine - INFO - Epoch(train) [87][55/63] lr: 6.5465e-03 eta: 8:25:25 time: 0.3773 data_time: 0.0166 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7279 loss_db: 0.3043 loss: 3.8901 2022/08/25 23:12:33 - mmengine - INFO - Epoch(train) [87][60/63] lr: 6.5465e-03 eta: 8:25:14 time: 0.3780 data_time: 0.0232 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7628 loss_db: 0.2921 loss: 3.9119 2022/08/25 23:12:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:12:38 - mmengine - INFO - Epoch(train) [88][5/63] lr: 6.5412e-03 eta: 8:25:14 time: 0.5682 data_time: 0.1548 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7387 loss_db: 0.2916 loss: 3.8878 2022/08/25 23:12:40 - mmengine - INFO - Epoch(train) [88][10/63] lr: 6.5412e-03 eta: 8:25:13 time: 0.5989 data_time: 0.1593 memory: 6760 loss_prob: 2.8589 loss_thr: 0.7073 loss_db: 0.2741 loss: 3.8404 2022/08/25 23:12:42 - mmengine - INFO - Epoch(train) [88][15/63] lr: 6.5412e-03 eta: 8:25:13 time: 0.3816 data_time: 0.0191 memory: 6760 loss_prob: 2.8605 loss_thr: 0.7232 loss_db: 0.2825 loss: 3.8661 2022/08/25 23:12:44 - mmengine - INFO - Epoch(train) [88][20/63] lr: 6.5412e-03 eta: 8:25:02 time: 0.3780 data_time: 0.0245 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7006 loss_db: 0.2647 loss: 3.8241 2022/08/25 23:12:45 - mmengine - INFO - Epoch(train) [88][25/63] lr: 6.5412e-03 eta: 8:25:02 time: 0.3758 data_time: 0.0246 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6848 loss_db: 0.2668 loss: 3.8126 2022/08/25 23:12:48 - mmengine - INFO - Epoch(train) [88][30/63] lr: 6.5412e-03 eta: 8:25:01 time: 0.4641 data_time: 0.0185 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6973 loss_db: 0.2892 loss: 3.8493 2022/08/25 23:12:50 - mmengine - INFO - Epoch(train) [88][35/63] lr: 6.5412e-03 eta: 8:25:01 time: 0.4664 data_time: 0.0214 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6942 loss_db: 0.2671 loss: 3.8219 2022/08/25 23:12:52 - mmengine - INFO - Epoch(train) [88][40/63] lr: 6.5412e-03 eta: 8:24:49 time: 0.3713 data_time: 0.0185 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7160 loss_db: 0.2873 loss: 3.8629 2022/08/25 23:12:54 - mmengine - INFO - Epoch(train) [88][45/63] lr: 6.5412e-03 eta: 8:24:49 time: 0.3769 data_time: 0.0265 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7301 loss_db: 0.3067 loss: 3.8947 2022/08/25 23:12:56 - mmengine - INFO - Epoch(train) [88][50/63] lr: 6.5412e-03 eta: 8:24:37 time: 0.3712 data_time: 0.0249 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7246 loss_db: 0.3095 loss: 3.8900 2022/08/25 23:12:58 - mmengine - INFO - Epoch(train) [88][55/63] lr: 6.5412e-03 eta: 8:24:37 time: 0.4533 data_time: 0.0204 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7241 loss_db: 0.2958 loss: 3.8751 2022/08/25 23:13:00 - mmengine - INFO - Epoch(train) [88][60/63] lr: 6.5412e-03 eta: 8:24:38 time: 0.4681 data_time: 0.0321 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7184 loss_db: 0.2775 loss: 3.8517 2022/08/25 23:13:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:13:05 - mmengine - INFO - Epoch(train) [89][5/63] lr: 6.5359e-03 eta: 8:24:38 time: 0.5338 data_time: 0.1876 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7398 loss_db: 0.2694 loss: 3.8663 2022/08/25 23:13:07 - mmengine - INFO - Epoch(train) [89][10/63] lr: 6.5359e-03 eta: 8:24:31 time: 0.5550 data_time: 0.2012 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7045 loss_db: 0.2884 loss: 3.8492 2022/08/25 23:13:09 - mmengine - INFO - Epoch(train) [89][15/63] lr: 6.5359e-03 eta: 8:24:31 time: 0.3783 data_time: 0.0251 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7086 loss_db: 0.2936 loss: 3.8596 2022/08/25 23:13:11 - mmengine - INFO - Epoch(train) [89][20/63] lr: 6.5359e-03 eta: 8:24:20 time: 0.3752 data_time: 0.0155 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7200 loss_db: 0.2829 loss: 3.8616 2022/08/25 23:13:16 - mmengine - INFO - Epoch(train) [89][25/63] lr: 6.5359e-03 eta: 8:24:20 time: 0.6802 data_time: 0.1304 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7037 loss_db: 0.2678 loss: 3.8286 2022/08/25 23:13:17 - mmengine - INFO - Epoch(train) [89][30/63] lr: 6.5359e-03 eta: 8:24:46 time: 0.6779 data_time: 0.1350 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7278 loss_db: 0.2682 loss: 3.8532 2022/08/25 23:13:19 - mmengine - INFO - Epoch(train) [89][35/63] lr: 6.5359e-03 eta: 8:24:46 time: 0.3826 data_time: 0.0275 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7423 loss_db: 0.2790 loss: 3.8795 2022/08/25 23:13:21 - mmengine - INFO - Epoch(train) [89][40/63] lr: 6.5359e-03 eta: 8:24:36 time: 0.3864 data_time: 0.0191 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7048 loss_db: 0.2623 loss: 3.8247 2022/08/25 23:13:23 - mmengine - INFO - Epoch(train) [89][45/63] lr: 6.5359e-03 eta: 8:24:36 time: 0.3824 data_time: 0.0180 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7039 loss_db: 0.2582 loss: 3.8175 2022/08/25 23:13:25 - mmengine - INFO - Epoch(train) [89][50/63] lr: 6.5359e-03 eta: 8:24:24 time: 0.3743 data_time: 0.0209 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7205 loss_db: 0.2834 loss: 3.8612 2022/08/25 23:13:28 - mmengine - INFO - Epoch(train) [89][55/63] lr: 6.5359e-03 eta: 8:24:24 time: 0.4355 data_time: 0.0160 memory: 6760 loss_prob: 2.8614 loss_thr: 0.7165 loss_db: 0.2888 loss: 3.8667 2022/08/25 23:13:31 - mmengine - INFO - Epoch(train) [89][60/63] lr: 6.5359e-03 eta: 8:24:36 time: 0.5606 data_time: 0.0518 memory: 6760 loss_prob: 2.8604 loss_thr: 0.7084 loss_db: 0.2879 loss: 3.8567 2022/08/25 23:13:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:13:35 - mmengine - INFO - Epoch(train) [90][5/63] lr: 6.5306e-03 eta: 8:24:36 time: 0.5165 data_time: 0.1778 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7606 loss_db: 0.3094 loss: 3.9286 2022/08/25 23:13:37 - mmengine - INFO - Epoch(train) [90][10/63] lr: 6.5306e-03 eta: 8:24:27 time: 0.5345 data_time: 0.1831 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7434 loss_db: 0.2831 loss: 3.8847 2022/08/25 23:13:39 - mmengine - INFO - Epoch(train) [90][15/63] lr: 6.5306e-03 eta: 8:24:27 time: 0.3644 data_time: 0.0177 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7356 loss_db: 0.2881 loss: 3.8809 2022/08/25 23:13:41 - mmengine - INFO - Epoch(train) [90][20/63] lr: 6.5306e-03 eta: 8:24:15 time: 0.3732 data_time: 0.0246 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7444 loss_db: 0.2845 loss: 3.8874 2022/08/25 23:13:43 - mmengine - INFO - Epoch(train) [90][25/63] lr: 6.5306e-03 eta: 8:24:15 time: 0.3878 data_time: 0.0293 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7493 loss_db: 0.2826 loss: 3.8899 2022/08/25 23:13:45 - mmengine - INFO - Epoch(train) [90][30/63] lr: 6.5306e-03 eta: 8:24:04 time: 0.3751 data_time: 0.0168 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7245 loss_db: 0.2722 loss: 3.8520 2022/08/25 23:13:46 - mmengine - INFO - Epoch(train) [90][35/63] lr: 6.5306e-03 eta: 8:24:04 time: 0.3639 data_time: 0.0165 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7035 loss_db: 0.2703 loss: 3.8287 2022/08/25 23:13:50 - mmengine - INFO - Epoch(train) [90][40/63] lr: 6.5306e-03 eta: 8:24:11 time: 0.5241 data_time: 0.0232 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7188 loss_db: 0.2959 loss: 3.8712 2022/08/25 23:13:52 - mmengine - INFO - Epoch(train) [90][45/63] lr: 6.5306e-03 eta: 8:24:11 time: 0.5518 data_time: 0.0342 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7328 loss_db: 0.2895 loss: 3.8802 2022/08/25 23:13:54 - mmengine - INFO - Epoch(train) [90][50/63] lr: 6.5306e-03 eta: 8:24:02 time: 0.3989 data_time: 0.0338 memory: 6760 loss_prob: 2.8622 loss_thr: 0.7444 loss_db: 0.2994 loss: 3.9059 2022/08/25 23:13:56 - mmengine - INFO - Epoch(train) [90][55/63] lr: 6.5306e-03 eta: 8:24:02 time: 0.3663 data_time: 0.0187 memory: 6760 loss_prob: 2.8618 loss_thr: 0.7446 loss_db: 0.3188 loss: 3.9252 2022/08/25 23:13:57 - mmengine - INFO - Epoch(train) [90][60/63] lr: 6.5306e-03 eta: 8:23:50 time: 0.3652 data_time: 0.0189 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7226 loss_db: 0.2865 loss: 3.8674 2022/08/25 23:13:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:14:02 - mmengine - INFO - Epoch(train) [91][5/63] lr: 6.5253e-03 eta: 8:23:50 time: 0.5398 data_time: 0.1842 memory: 6760 loss_prob: 2.8556 loss_thr: 0.6732 loss_db: 0.2585 loss: 3.7873 2022/08/25 23:14:04 - mmengine - INFO - Epoch(train) [91][10/63] lr: 6.5253e-03 eta: 8:23:42 time: 0.5425 data_time: 0.1958 memory: 6760 loss_prob: 2.8557 loss_thr: 0.6759 loss_db: 0.2634 loss: 3.7950 2022/08/25 23:14:06 - mmengine - INFO - Epoch(train) [91][15/63] lr: 6.5253e-03 eta: 8:23:42 time: 0.3713 data_time: 0.0243 memory: 6760 loss_prob: 2.8591 loss_thr: 0.7252 loss_db: 0.2580 loss: 3.8422 2022/08/25 23:14:08 - mmengine - INFO - Epoch(train) [91][20/63] lr: 6.5253e-03 eta: 8:23:33 time: 0.3980 data_time: 0.0152 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7284 loss_db: 0.2516 loss: 3.8380 2022/08/25 23:14:10 - mmengine - INFO - Epoch(train) [91][25/63] lr: 6.5253e-03 eta: 8:23:33 time: 0.4072 data_time: 0.0259 memory: 6760 loss_prob: 2.8556 loss_thr: 0.6983 loss_db: 0.2652 loss: 3.8192 2022/08/25 23:14:12 - mmengine - INFO - Epoch(train) [91][30/63] lr: 6.5253e-03 eta: 8:23:26 time: 0.4091 data_time: 0.0200 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7098 loss_db: 0.2826 loss: 3.8499 2022/08/25 23:14:14 - mmengine - INFO - Epoch(train) [91][35/63] lr: 6.5253e-03 eta: 8:23:26 time: 0.4119 data_time: 0.0182 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6990 loss_db: 0.2555 loss: 3.8133 2022/08/25 23:14:16 - mmengine - INFO - Epoch(train) [91][40/63] lr: 6.5253e-03 eta: 8:23:17 time: 0.3897 data_time: 0.0236 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6908 loss_db: 0.2580 loss: 3.8073 2022/08/25 23:14:18 - mmengine - INFO - Epoch(train) [91][45/63] lr: 6.5253e-03 eta: 8:23:17 time: 0.3846 data_time: 0.0202 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7011 loss_db: 0.2843 loss: 3.8442 2022/08/25 23:14:20 - mmengine - INFO - Epoch(train) [91][50/63] lr: 6.5253e-03 eta: 8:23:06 time: 0.3769 data_time: 0.0230 memory: 6760 loss_prob: 2.8610 loss_thr: 0.7145 loss_db: 0.3071 loss: 3.8827 2022/08/25 23:14:22 - mmengine - INFO - Epoch(train) [91][55/63] lr: 6.5253e-03 eta: 8:23:06 time: 0.3748 data_time: 0.0196 memory: 6760 loss_prob: 2.8624 loss_thr: 0.7305 loss_db: 0.2902 loss: 3.8831 2022/08/25 23:14:23 - mmengine - INFO - Epoch(train) [91][60/63] lr: 6.5253e-03 eta: 8:22:53 time: 0.3666 data_time: 0.0154 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7144 loss_db: 0.2630 loss: 3.8373 2022/08/25 23:14:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:14:28 - mmengine - INFO - Epoch(train) [92][5/63] lr: 6.5200e-03 eta: 8:22:53 time: 0.5768 data_time: 0.1423 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7192 loss_db: 0.2767 loss: 3.8522 2022/08/25 23:14:30 - mmengine - INFO - Epoch(train) [92][10/63] lr: 6.5200e-03 eta: 8:22:53 time: 0.6041 data_time: 0.1517 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7430 loss_db: 0.2779 loss: 3.8773 2022/08/25 23:14:32 - mmengine - INFO - Epoch(train) [92][15/63] lr: 6.5200e-03 eta: 8:22:53 time: 0.3999 data_time: 0.0271 memory: 6760 loss_prob: 2.8552 loss_thr: 0.7270 loss_db: 0.2764 loss: 3.8585 2022/08/25 23:14:34 - mmengine - INFO - Epoch(train) [92][20/63] lr: 6.5200e-03 eta: 8:22:44 time: 0.3908 data_time: 0.0230 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7049 loss_db: 0.2855 loss: 3.8462 2022/08/25 23:14:36 - mmengine - INFO - Epoch(train) [92][25/63] lr: 6.5200e-03 eta: 8:22:44 time: 0.3880 data_time: 0.0178 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6848 loss_db: 0.2822 loss: 3.8265 2022/08/25 23:14:38 - mmengine - INFO - Epoch(train) [92][30/63] lr: 6.5200e-03 eta: 8:22:35 time: 0.3945 data_time: 0.0165 memory: 6760 loss_prob: 2.8604 loss_thr: 0.7079 loss_db: 0.2848 loss: 3.8531 2022/08/25 23:14:40 - mmengine - INFO - Epoch(train) [92][35/63] lr: 6.5200e-03 eta: 8:22:35 time: 0.3799 data_time: 0.0214 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7146 loss_db: 0.3125 loss: 3.8851 2022/08/25 23:14:42 - mmengine - INFO - Epoch(train) [92][40/63] lr: 6.5200e-03 eta: 8:22:23 time: 0.3726 data_time: 0.0227 memory: 6760 loss_prob: 2.8557 loss_thr: 0.7061 loss_db: 0.3042 loss: 3.8661 2022/08/25 23:14:44 - mmengine - INFO - Epoch(train) [92][45/63] lr: 6.5200e-03 eta: 8:22:23 time: 0.3737 data_time: 0.0215 memory: 6760 loss_prob: 2.8542 loss_thr: 0.7019 loss_db: 0.2828 loss: 3.8389 2022/08/25 23:14:46 - mmengine - INFO - Epoch(train) [92][50/63] lr: 6.5200e-03 eta: 8:22:11 time: 0.3703 data_time: 0.0183 memory: 6760 loss_prob: 2.8542 loss_thr: 0.6855 loss_db: 0.2737 loss: 3.8134 2022/08/25 23:14:50 - mmengine - INFO - Epoch(train) [92][55/63] lr: 6.5200e-03 eta: 8:22:11 time: 0.6134 data_time: 0.0280 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7337 loss_db: 0.2732 loss: 3.8640 2022/08/25 23:14:52 - mmengine - INFO - Epoch(train) [92][60/63] lr: 6.5200e-03 eta: 8:22:30 time: 0.6216 data_time: 0.0319 memory: 6760 loss_prob: 2.8606 loss_thr: 0.7574 loss_db: 0.3017 loss: 3.9198 2022/08/25 23:14:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:14:57 - mmengine - INFO - Epoch(train) [93][5/63] lr: 6.5147e-03 eta: 8:22:30 time: 0.5342 data_time: 0.1782 memory: 6760 loss_prob: 2.8594 loss_thr: 0.7283 loss_db: 0.2721 loss: 3.8598 2022/08/25 23:14:59 - mmengine - INFO - Epoch(train) [93][10/63] lr: 6.5147e-03 eta: 8:22:23 time: 0.5491 data_time: 0.1889 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7212 loss_db: 0.2703 loss: 3.8495 2022/08/25 23:15:00 - mmengine - INFO - Epoch(train) [93][15/63] lr: 6.5147e-03 eta: 8:22:23 time: 0.3755 data_time: 0.0267 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6791 loss_db: 0.2662 loss: 3.8023 2022/08/25 23:15:02 - mmengine - INFO - Epoch(train) [93][20/63] lr: 6.5147e-03 eta: 8:22:11 time: 0.3672 data_time: 0.0123 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7081 loss_db: 0.2853 loss: 3.8504 2022/08/25 23:15:04 - mmengine - INFO - Epoch(train) [93][25/63] lr: 6.5147e-03 eta: 8:22:11 time: 0.3898 data_time: 0.0254 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7574 loss_db: 0.2832 loss: 3.8982 2022/08/25 23:15:06 - mmengine - INFO - Epoch(train) [93][30/63] lr: 6.5147e-03 eta: 8:22:01 time: 0.3833 data_time: 0.0223 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7375 loss_db: 0.2807 loss: 3.8760 2022/08/25 23:15:11 - mmengine - INFO - Epoch(train) [93][35/63] lr: 6.5147e-03 eta: 8:22:01 time: 0.6450 data_time: 0.0260 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7147 loss_db: 0.2726 loss: 3.8457 2022/08/25 23:15:13 - mmengine - INFO - Epoch(train) [93][40/63] lr: 6.5147e-03 eta: 8:22:23 time: 0.6536 data_time: 0.0318 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7083 loss_db: 0.2604 loss: 3.8278 2022/08/25 23:15:15 - mmengine - INFO - Epoch(train) [93][45/63] lr: 6.5147e-03 eta: 8:22:23 time: 0.3880 data_time: 0.0250 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6713 loss_db: 0.2532 loss: 3.7840 2022/08/25 23:15:16 - mmengine - INFO - Epoch(train) [93][50/63] lr: 6.5147e-03 eta: 8:22:12 time: 0.3763 data_time: 0.0261 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6602 loss_db: 0.2522 loss: 3.7734 2022/08/25 23:15:18 - mmengine - INFO - Epoch(train) [93][55/63] lr: 6.5147e-03 eta: 8:22:12 time: 0.3653 data_time: 0.0189 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6928 loss_db: 0.2714 loss: 3.8245 2022/08/25 23:15:20 - mmengine - INFO - Epoch(train) [93][60/63] lr: 6.5147e-03 eta: 8:22:00 time: 0.3648 data_time: 0.0154 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7277 loss_db: 0.2786 loss: 3.8645 2022/08/25 23:15:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:15:24 - mmengine - INFO - Epoch(train) [94][5/63] lr: 6.5094e-03 eta: 8:22:00 time: 0.4899 data_time: 0.1352 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7453 loss_db: 0.2889 loss: 3.8915 2022/08/25 23:15:26 - mmengine - INFO - Epoch(train) [94][10/63] lr: 6.5094e-03 eta: 8:21:49 time: 0.5187 data_time: 0.1512 memory: 6760 loss_prob: 2.8613 loss_thr: 0.7394 loss_db: 0.2695 loss: 3.8703 2022/08/25 23:15:29 - mmengine - INFO - Epoch(train) [94][15/63] lr: 6.5094e-03 eta: 8:21:49 time: 0.4358 data_time: 0.0296 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6953 loss_db: 0.2639 loss: 3.8210 2022/08/25 23:15:30 - mmengine - INFO - Epoch(train) [94][20/63] lr: 6.5094e-03 eta: 8:21:43 time: 0.4211 data_time: 0.0179 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6869 loss_db: 0.2558 loss: 3.8015 2022/08/25 23:15:32 - mmengine - INFO - Epoch(train) [94][25/63] lr: 6.5094e-03 eta: 8:21:43 time: 0.3814 data_time: 0.0203 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6848 loss_db: 0.2492 loss: 3.7920 2022/08/25 23:15:34 - mmengine - INFO - Epoch(train) [94][30/63] lr: 6.5094e-03 eta: 8:21:32 time: 0.3732 data_time: 0.0170 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6935 loss_db: 0.2603 loss: 3.8128 2022/08/25 23:15:36 - mmengine - INFO - Epoch(train) [94][35/63] lr: 6.5094e-03 eta: 8:21:32 time: 0.3689 data_time: 0.0176 memory: 6760 loss_prob: 2.8621 loss_thr: 0.7518 loss_db: 0.3007 loss: 3.9146 2022/08/25 23:15:39 - mmengine - INFO - Epoch(train) [94][40/63] lr: 6.5094e-03 eta: 8:21:30 time: 0.4464 data_time: 0.0305 memory: 6760 loss_prob: 2.8609 loss_thr: 0.7344 loss_db: 0.3113 loss: 3.9065 2022/08/25 23:15:40 - mmengine - INFO - Epoch(train) [94][45/63] lr: 6.5094e-03 eta: 8:21:30 time: 0.4442 data_time: 0.0313 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7083 loss_db: 0.2863 loss: 3.8531 2022/08/25 23:15:42 - mmengine - INFO - Epoch(train) [94][50/63] lr: 6.5094e-03 eta: 8:21:18 time: 0.3733 data_time: 0.0255 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7201 loss_db: 0.2947 loss: 3.8710 2022/08/25 23:15:44 - mmengine - INFO - Epoch(train) [94][55/63] lr: 6.5094e-03 eta: 8:21:18 time: 0.3828 data_time: 0.0187 memory: 6760 loss_prob: 2.8525 loss_thr: 0.7368 loss_db: 0.2912 loss: 3.8804 2022/08/25 23:15:46 - mmengine - INFO - Epoch(train) [94][60/63] lr: 6.5094e-03 eta: 8:21:09 time: 0.3908 data_time: 0.0155 memory: 6760 loss_prob: 2.8519 loss_thr: 0.7102 loss_db: 0.2732 loss: 3.8353 2022/08/25 23:15:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:15:52 - mmengine - INFO - Epoch(train) [95][5/63] lr: 6.5041e-03 eta: 8:21:09 time: 0.6501 data_time: 0.1965 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7015 loss_db: 0.2483 loss: 3.8071 2022/08/25 23:15:54 - mmengine - INFO - Epoch(train) [95][10/63] lr: 6.5041e-03 eta: 8:21:07 time: 0.5874 data_time: 0.1734 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7074 loss_db: 0.2534 loss: 3.8188 2022/08/25 23:15:56 - mmengine - INFO - Epoch(train) [95][15/63] lr: 6.5041e-03 eta: 8:21:07 time: 0.3612 data_time: 0.0165 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7027 loss_db: 0.2663 loss: 3.8245 2022/08/25 23:15:58 - mmengine - INFO - Epoch(train) [95][20/63] lr: 6.5041e-03 eta: 8:20:55 time: 0.3703 data_time: 0.0169 memory: 6760 loss_prob: 2.8543 loss_thr: 0.6697 loss_db: 0.2499 loss: 3.7740 2022/08/25 23:16:00 - mmengine - INFO - Epoch(train) [95][25/63] lr: 6.5041e-03 eta: 8:20:55 time: 0.4336 data_time: 0.0249 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6627 loss_db: 0.2485 loss: 3.7673 2022/08/25 23:16:02 - mmengine - INFO - Epoch(train) [95][30/63] lr: 6.5041e-03 eta: 8:20:50 time: 0.4278 data_time: 0.0289 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6924 loss_db: 0.2632 loss: 3.8149 2022/08/25 23:16:04 - mmengine - INFO - Epoch(train) [95][35/63] lr: 6.5041e-03 eta: 8:20:50 time: 0.3678 data_time: 0.0199 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6824 loss_db: 0.2483 loss: 3.7904 2022/08/25 23:16:05 - mmengine - INFO - Epoch(train) [95][40/63] lr: 6.5041e-03 eta: 8:20:38 time: 0.3595 data_time: 0.0152 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6872 loss_db: 0.2495 loss: 3.7952 2022/08/25 23:16:09 - mmengine - INFO - Epoch(train) [95][45/63] lr: 6.5041e-03 eta: 8:20:38 time: 0.4974 data_time: 0.0191 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7012 loss_db: 0.2607 loss: 3.8206 2022/08/25 23:16:11 - mmengine - INFO - Epoch(train) [95][50/63] lr: 6.5041e-03 eta: 8:20:48 time: 0.5547 data_time: 0.0295 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6973 loss_db: 0.2544 loss: 3.8098 2022/08/25 23:16:13 - mmengine - INFO - Epoch(train) [95][55/63] lr: 6.5041e-03 eta: 8:20:48 time: 0.4230 data_time: 0.0274 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7044 loss_db: 0.2655 loss: 3.8273 2022/08/25 23:16:15 - mmengine - INFO - Epoch(train) [95][60/63] lr: 6.5041e-03 eta: 8:20:35 time: 0.3616 data_time: 0.0179 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7149 loss_db: 0.2810 loss: 3.8543 2022/08/25 23:16:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:16:19 - mmengine - INFO - Epoch(train) [96][5/63] lr: 6.4988e-03 eta: 8:20:35 time: 0.4852 data_time: 0.1364 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6965 loss_db: 0.2746 loss: 3.8324 2022/08/25 23:16:21 - mmengine - INFO - Epoch(train) [96][10/63] lr: 6.4988e-03 eta: 8:20:24 time: 0.5104 data_time: 0.1477 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6960 loss_db: 0.2526 loss: 3.8097 2022/08/25 23:16:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:16:23 - mmengine - INFO - Epoch(train) [96][15/63] lr: 6.4988e-03 eta: 8:20:24 time: 0.3822 data_time: 0.0237 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7035 loss_db: 0.2675 loss: 3.8289 2022/08/25 23:16:25 - mmengine - INFO - Epoch(train) [96][20/63] lr: 6.4988e-03 eta: 8:20:15 time: 0.3931 data_time: 0.0170 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7108 loss_db: 0.2745 loss: 3.8421 2022/08/25 23:16:26 - mmengine - INFO - Epoch(train) [96][25/63] lr: 6.4988e-03 eta: 8:20:15 time: 0.3951 data_time: 0.0201 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7249 loss_db: 0.2927 loss: 3.8738 2022/08/25 23:16:30 - mmengine - INFO - Epoch(train) [96][30/63] lr: 6.4988e-03 eta: 8:20:22 time: 0.5275 data_time: 0.0170 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7361 loss_db: 0.3072 loss: 3.8995 2022/08/25 23:16:32 - mmengine - INFO - Epoch(train) [96][35/63] lr: 6.4988e-03 eta: 8:20:22 time: 0.5443 data_time: 0.0303 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7584 loss_db: 0.3037 loss: 3.9195 2022/08/25 23:16:34 - mmengine - INFO - Epoch(train) [96][40/63] lr: 6.4988e-03 eta: 8:20:12 time: 0.3809 data_time: 0.0266 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7255 loss_db: 0.3034 loss: 3.8850 2022/08/25 23:16:36 - mmengine - INFO - Epoch(train) [96][45/63] lr: 6.4988e-03 eta: 8:20:12 time: 0.3588 data_time: 0.0157 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6762 loss_db: 0.2864 loss: 3.8178 2022/08/25 23:16:38 - mmengine - INFO - Epoch(train) [96][50/63] lr: 6.4988e-03 eta: 8:20:05 time: 0.4062 data_time: 0.0228 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6727 loss_db: 0.2703 loss: 3.7984 2022/08/25 23:16:40 - mmengine - INFO - Epoch(train) [96][55/63] lr: 6.4988e-03 eta: 8:20:05 time: 0.4113 data_time: 0.0252 memory: 6760 loss_prob: 2.8550 loss_thr: 0.6969 loss_db: 0.2757 loss: 3.8276 2022/08/25 23:16:42 - mmengine - INFO - Epoch(train) [96][60/63] lr: 6.4988e-03 eta: 8:19:54 time: 0.3807 data_time: 0.0247 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7231 loss_db: 0.2683 loss: 3.8477 2022/08/25 23:16:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:16:46 - mmengine - INFO - Epoch(train) [97][5/63] lr: 6.4935e-03 eta: 8:19:54 time: 0.4992 data_time: 0.1530 memory: 6760 loss_prob: 2.8592 loss_thr: 0.7188 loss_db: 0.2854 loss: 3.8633 2022/08/25 23:16:48 - mmengine - INFO - Epoch(train) [97][10/63] lr: 6.4935e-03 eta: 8:19:45 time: 0.5250 data_time: 0.1690 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7306 loss_db: 0.3005 loss: 3.8904 2022/08/25 23:16:50 - mmengine - INFO - Epoch(train) [97][15/63] lr: 6.4935e-03 eta: 8:19:45 time: 0.3815 data_time: 0.0294 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7203 loss_db: 0.2920 loss: 3.8687 2022/08/25 23:16:52 - mmengine - INFO - Epoch(train) [97][20/63] lr: 6.4935e-03 eta: 8:19:32 time: 0.3595 data_time: 0.0156 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7144 loss_db: 0.2725 loss: 3.8436 2022/08/25 23:16:53 - mmengine - INFO - Epoch(train) [97][25/63] lr: 6.4935e-03 eta: 8:19:32 time: 0.3704 data_time: 0.0212 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7379 loss_db: 0.2598 loss: 3.8557 2022/08/25 23:16:55 - mmengine - INFO - Epoch(train) [97][30/63] lr: 6.4935e-03 eta: 8:19:22 time: 0.3822 data_time: 0.0232 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7294 loss_db: 0.2763 loss: 3.8636 2022/08/25 23:16:57 - mmengine - INFO - Epoch(train) [97][35/63] lr: 6.4935e-03 eta: 8:19:22 time: 0.3924 data_time: 0.0246 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7310 loss_db: 0.2772 loss: 3.8665 2022/08/25 23:17:00 - mmengine - INFO - Epoch(train) [97][40/63] lr: 6.4935e-03 eta: 8:19:25 time: 0.4924 data_time: 0.0447 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7139 loss_db: 0.2547 loss: 3.8274 2022/08/25 23:17:02 - mmengine - INFO - Epoch(train) [97][45/63] lr: 6.4935e-03 eta: 8:19:25 time: 0.4905 data_time: 0.0428 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7418 loss_db: 0.2938 loss: 3.8938 2022/08/25 23:17:04 - mmengine - INFO - Epoch(train) [97][50/63] lr: 6.4935e-03 eta: 8:19:15 time: 0.3791 data_time: 0.0222 memory: 6760 loss_prob: 2.8578 loss_thr: 0.7582 loss_db: 0.3126 loss: 3.9286 2022/08/25 23:17:06 - mmengine - INFO - Epoch(train) [97][55/63] lr: 6.4935e-03 eta: 8:19:15 time: 0.3768 data_time: 0.0236 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7107 loss_db: 0.2859 loss: 3.8534 2022/08/25 23:17:08 - mmengine - INFO - Epoch(train) [97][60/63] lr: 6.4935e-03 eta: 8:19:10 time: 0.4281 data_time: 0.0261 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7292 loss_db: 0.2884 loss: 3.8754 2022/08/25 23:17:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:17:13 - mmengine - INFO - Epoch(train) [98][5/63] lr: 6.4882e-03 eta: 8:19:10 time: 0.5622 data_time: 0.1692 memory: 6760 loss_prob: 2.8541 loss_thr: 0.7247 loss_db: 0.2769 loss: 3.8558 2022/08/25 23:17:15 - mmengine - INFO - Epoch(train) [98][10/63] lr: 6.4882e-03 eta: 8:19:02 time: 0.5371 data_time: 0.1648 memory: 6760 loss_prob: 2.8528 loss_thr: 0.7218 loss_db: 0.2902 loss: 3.8649 2022/08/25 23:17:17 - mmengine - INFO - Epoch(train) [98][15/63] lr: 6.4882e-03 eta: 8:19:02 time: 0.3716 data_time: 0.0233 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7006 loss_db: 0.2736 loss: 3.8304 2022/08/25 23:17:19 - mmengine - INFO - Epoch(train) [98][20/63] lr: 6.4882e-03 eta: 8:18:54 time: 0.3975 data_time: 0.0255 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7076 loss_db: 0.2902 loss: 3.8547 2022/08/25 23:17:21 - mmengine - INFO - Epoch(train) [98][25/63] lr: 6.4882e-03 eta: 8:18:54 time: 0.4103 data_time: 0.0214 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7374 loss_db: 0.2831 loss: 3.8760 2022/08/25 23:17:23 - mmengine - INFO - Epoch(train) [98][30/63] lr: 6.4882e-03 eta: 8:18:49 time: 0.4240 data_time: 0.0164 memory: 6760 loss_prob: 2.8549 loss_thr: 0.7247 loss_db: 0.2684 loss: 3.8480 2022/08/25 23:17:25 - mmengine - INFO - Epoch(train) [98][35/63] lr: 6.4882e-03 eta: 8:18:49 time: 0.4130 data_time: 0.0178 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7257 loss_db: 0.2796 loss: 3.8616 2022/08/25 23:17:27 - mmengine - INFO - Epoch(train) [98][40/63] lr: 6.4882e-03 eta: 8:18:38 time: 0.3705 data_time: 0.0219 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7458 loss_db: 0.2942 loss: 3.8971 2022/08/25 23:17:30 - mmengine - INFO - Epoch(train) [98][45/63] lr: 6.4882e-03 eta: 8:18:38 time: 0.4795 data_time: 0.0312 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7048 loss_db: 0.2835 loss: 3.8428 2022/08/25 23:17:32 - mmengine - INFO - Epoch(train) [98][50/63] lr: 6.4882e-03 eta: 8:18:41 time: 0.5006 data_time: 0.0273 memory: 6760 loss_prob: 2.8540 loss_thr: 0.6718 loss_db: 0.2656 loss: 3.7913 2022/08/25 23:17:34 - mmengine - INFO - Epoch(train) [98][55/63] lr: 6.4882e-03 eta: 8:18:41 time: 0.3838 data_time: 0.0187 memory: 6760 loss_prob: 2.8540 loss_thr: 0.6780 loss_db: 0.2640 loss: 3.7959 2022/08/25 23:17:35 - mmengine - INFO - Epoch(train) [98][60/63] lr: 6.4882e-03 eta: 8:18:30 time: 0.3719 data_time: 0.0211 memory: 6760 loss_prob: 2.8543 loss_thr: 0.6814 loss_db: 0.2612 loss: 3.7969 2022/08/25 23:17:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:17:40 - mmengine - INFO - Epoch(train) [99][5/63] lr: 6.4829e-03 eta: 8:18:30 time: 0.5410 data_time: 0.1830 memory: 6760 loss_prob: 2.8530 loss_thr: 0.7305 loss_db: 0.2901 loss: 3.8736 2022/08/25 23:17:42 - mmengine - INFO - Epoch(train) [99][10/63] lr: 6.4829e-03 eta: 8:18:25 time: 0.5674 data_time: 0.1905 memory: 6760 loss_prob: 2.8530 loss_thr: 0.7195 loss_db: 0.2854 loss: 3.8579 2022/08/25 23:17:44 - mmengine - INFO - Epoch(train) [99][15/63] lr: 6.4829e-03 eta: 8:18:25 time: 0.4001 data_time: 0.0230 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7278 loss_db: 0.2839 loss: 3.8671 2022/08/25 23:17:46 - mmengine - INFO - Epoch(train) [99][20/63] lr: 6.4829e-03 eta: 8:18:16 time: 0.3831 data_time: 0.0166 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7120 loss_db: 0.2806 loss: 3.8504 2022/08/25 23:17:50 - mmengine - INFO - Epoch(train) [99][25/63] lr: 6.4829e-03 eta: 8:18:16 time: 0.5457 data_time: 0.0698 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6937 loss_db: 0.2693 loss: 3.8216 2022/08/25 23:17:51 - mmengine - INFO - Epoch(train) [99][30/63] lr: 6.4829e-03 eta: 8:18:23 time: 0.5344 data_time: 0.0682 memory: 6760 loss_prob: 2.8604 loss_thr: 0.7172 loss_db: 0.2661 loss: 3.8437 2022/08/25 23:17:53 - mmengine - INFO - Epoch(train) [99][35/63] lr: 6.4829e-03 eta: 8:18:23 time: 0.3747 data_time: 0.0217 memory: 6760 loss_prob: 2.8609 loss_thr: 0.7193 loss_db: 0.2755 loss: 3.8557 2022/08/25 23:17:55 - mmengine - INFO - Epoch(train) [99][40/63] lr: 6.4829e-03 eta: 8:18:12 time: 0.3745 data_time: 0.0194 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6612 loss_db: 0.2874 loss: 3.8076 2022/08/25 23:17:57 - mmengine - INFO - Epoch(train) [99][45/63] lr: 6.4829e-03 eta: 8:18:12 time: 0.3820 data_time: 0.0181 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6758 loss_db: 0.2795 loss: 3.8147 2022/08/25 23:17:59 - mmengine - INFO - Epoch(train) [99][50/63] lr: 6.4829e-03 eta: 8:18:07 time: 0.4167 data_time: 0.0283 memory: 6760 loss_prob: 2.8615 loss_thr: 0.7759 loss_db: 0.2816 loss: 3.9191 2022/08/25 23:18:01 - mmengine - INFO - Epoch(train) [99][55/63] lr: 6.4829e-03 eta: 8:18:07 time: 0.3991 data_time: 0.0247 memory: 6760 loss_prob: 2.8594 loss_thr: 0.7473 loss_db: 0.2754 loss: 3.8821 2022/08/25 23:18:03 - mmengine - INFO - Epoch(train) [99][60/63] lr: 6.4829e-03 eta: 8:17:58 time: 0.3946 data_time: 0.0161 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7023 loss_db: 0.2682 loss: 3.8274 2022/08/25 23:18:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:18:08 - mmengine - INFO - Epoch(train) [100][5/63] lr: 6.4776e-03 eta: 8:17:58 time: 0.5254 data_time: 0.1464 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7343 loss_db: 0.2743 loss: 3.8664 2022/08/25 23:18:10 - mmengine - INFO - Epoch(train) [100][10/63] lr: 6.4776e-03 eta: 8:17:51 time: 0.5485 data_time: 0.1598 memory: 6760 loss_prob: 2.8570 loss_thr: 0.7281 loss_db: 0.2866 loss: 3.8716 2022/08/25 23:18:12 - mmengine - INFO - Epoch(train) [100][15/63] lr: 6.4776e-03 eta: 8:17:51 time: 0.4071 data_time: 0.0281 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7135 loss_db: 0.2936 loss: 3.8636 2022/08/25 23:18:14 - mmengine - INFO - Epoch(train) [100][20/63] lr: 6.4776e-03 eta: 8:17:43 time: 0.3903 data_time: 0.0215 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7084 loss_db: 0.2716 loss: 3.8394 2022/08/25 23:18:16 - mmengine - INFO - Epoch(train) [100][25/63] lr: 6.4776e-03 eta: 8:17:43 time: 0.3701 data_time: 0.0189 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6838 loss_db: 0.2503 loss: 3.7950 2022/08/25 23:18:18 - mmengine - INFO - Epoch(train) [100][30/63] lr: 6.4776e-03 eta: 8:17:38 time: 0.4280 data_time: 0.0189 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6628 loss_db: 0.2451 loss: 3.7680 2022/08/25 23:18:20 - mmengine - INFO - Epoch(train) [100][35/63] lr: 6.4776e-03 eta: 8:17:38 time: 0.4502 data_time: 0.0293 memory: 6760 loss_prob: 2.8614 loss_thr: 0.7444 loss_db: 0.2781 loss: 3.8838 2022/08/25 23:18:23 - mmengine - INFO - Epoch(train) [100][40/63] lr: 6.4776e-03 eta: 8:17:37 time: 0.4612 data_time: 0.0269 memory: 6760 loss_prob: 2.8621 loss_thr: 0.7325 loss_db: 0.2789 loss: 3.8734 2022/08/25 23:18:25 - mmengine - INFO - Epoch(train) [100][45/63] lr: 6.4776e-03 eta: 8:17:37 time: 0.4530 data_time: 0.0219 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6836 loss_db: 0.2651 loss: 3.8096 2022/08/25 23:18:26 - mmengine - INFO - Epoch(train) [100][50/63] lr: 6.4776e-03 eta: 8:17:28 time: 0.3835 data_time: 0.0174 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7024 loss_db: 0.2742 loss: 3.8356 2022/08/25 23:18:29 - mmengine - INFO - Epoch(train) [100][55/63] lr: 6.4776e-03 eta: 8:17:28 time: 0.3927 data_time: 0.0152 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7051 loss_db: 0.2979 loss: 3.8615 2022/08/25 23:18:31 - mmengine - INFO - Epoch(train) [100][60/63] lr: 6.4776e-03 eta: 8:17:25 time: 0.4469 data_time: 0.0510 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7153 loss_db: 0.2903 loss: 3.8654 2022/08/25 23:18:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:18:32 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/25 23:18:36 - mmengine - INFO - Epoch(val) [100][5/500] eta: 8:17:25 time: 0.3484 data_time: 0.0212 memory: 6760 2022/08/25 23:18:38 - mmengine - INFO - Epoch(val) [100][10/500] eta: 0:02:30 time: 0.3064 data_time: 0.0217 memory: 425 2022/08/25 23:18:39 - mmengine - INFO - Epoch(val) [100][15/500] eta: 0:02:30 time: 0.2575 data_time: 0.0024 memory: 425 2022/08/25 23:18:40 - mmengine - INFO - Epoch(val) [100][20/500] eta: 0:01:56 time: 0.2417 data_time: 0.0019 memory: 425 2022/08/25 23:18:42 - mmengine - INFO - Epoch(val) [100][25/500] eta: 0:01:56 time: 0.2620 data_time: 0.0019 memory: 425 2022/08/25 23:18:43 - mmengine - INFO - Epoch(val) [100][30/500] eta: 0:02:24 time: 0.3078 data_time: 0.0020 memory: 425 2022/08/25 23:18:45 - mmengine - INFO - Epoch(val) [100][35/500] eta: 0:02:24 time: 0.3018 data_time: 0.0035 memory: 425 2022/08/25 23:18:46 - mmengine - INFO - Epoch(val) [100][40/500] eta: 0:02:03 time: 0.2674 data_time: 0.0035 memory: 425 2022/08/25 23:18:47 - mmengine - INFO - Epoch(val) [100][45/500] eta: 0:02:03 time: 0.2572 data_time: 0.0020 memory: 425 2022/08/25 23:18:51 - mmengine - INFO - Epoch(val) [100][50/500] eta: 0:03:38 time: 0.4858 data_time: 0.0437 memory: 425 2022/08/25 23:18:52 - mmengine - INFO - Epoch(val) [100][55/500] eta: 0:03:38 time: 0.5282 data_time: 0.0463 memory: 425 2022/08/25 23:18:54 - mmengine - INFO - Epoch(val) [100][60/500] eta: 0:02:01 time: 0.2764 data_time: 0.0048 memory: 425 2022/08/25 23:18:55 - mmengine - INFO - Epoch(val) [100][65/500] eta: 0:02:01 time: 0.2565 data_time: 0.0021 memory: 425 2022/08/25 23:18:56 - mmengine - INFO - Epoch(val) [100][70/500] eta: 0:02:02 time: 0.2839 data_time: 0.0020 memory: 425 2022/08/25 23:18:57 - mmengine - INFO - Epoch(val) [100][75/500] eta: 0:02:02 time: 0.2436 data_time: 0.0021 memory: 425 2022/08/25 23:18:59 - mmengine - INFO - Epoch(val) [100][80/500] eta: 0:01:39 time: 0.2368 data_time: 0.0028 memory: 425 2022/08/25 23:19:00 - mmengine - INFO - Epoch(val) [100][85/500] eta: 0:01:39 time: 0.2288 data_time: 0.0028 memory: 425 2022/08/25 23:19:01 - mmengine - INFO - Epoch(val) [100][90/500] eta: 0:01:48 time: 0.2650 data_time: 0.0019 memory: 425 2022/08/25 23:19:03 - mmengine - INFO - Epoch(val) [100][95/500] eta: 0:01:48 time: 0.3016 data_time: 0.0026 memory: 425 2022/08/25 23:19:04 - mmengine - INFO - Epoch(val) [100][100/500] eta: 0:01:45 time: 0.2637 data_time: 0.0026 memory: 425 2022/08/25 23:19:05 - mmengine - INFO - Epoch(val) [100][105/500] eta: 0:01:45 time: 0.2633 data_time: 0.0020 memory: 425 2022/08/25 23:19:07 - mmengine - INFO - Epoch(val) [100][110/500] eta: 0:01:36 time: 0.2485 data_time: 0.0020 memory: 425 2022/08/25 23:19:09 - mmengine - INFO - Epoch(val) [100][115/500] eta: 0:01:36 time: 0.3816 data_time: 0.0118 memory: 425 2022/08/25 23:19:10 - mmengine - INFO - Epoch(val) [100][120/500] eta: 0:02:25 time: 0.3818 data_time: 0.0144 memory: 425 2022/08/25 23:19:12 - mmengine - INFO - Epoch(val) [100][125/500] eta: 0:02:25 time: 0.2629 data_time: 0.0045 memory: 425 2022/08/25 23:19:13 - mmengine - INFO - Epoch(val) [100][130/500] eta: 0:01:34 time: 0.2556 data_time: 0.0019 memory: 425 2022/08/25 23:19:14 - mmengine - INFO - Epoch(val) [100][135/500] eta: 0:01:34 time: 0.2147 data_time: 0.0019 memory: 425 2022/08/25 23:19:15 - mmengine - INFO - Epoch(val) [100][140/500] eta: 0:01:17 time: 0.2143 data_time: 0.0018 memory: 425 2022/08/25 23:19:17 - mmengine - INFO - Epoch(val) [100][145/500] eta: 0:01:17 time: 0.2662 data_time: 0.0018 memory: 425 2022/08/25 23:19:18 - mmengine - INFO - Epoch(val) [100][150/500] eta: 0:01:56 time: 0.3335 data_time: 0.0038 memory: 425 2022/08/25 23:19:20 - mmengine - INFO - Epoch(val) [100][155/500] eta: 0:01:56 time: 0.3456 data_time: 0.0039 memory: 425 2022/08/25 23:19:21 - mmengine - INFO - Epoch(val) [100][160/500] eta: 0:01:36 time: 0.2828 data_time: 0.0020 memory: 425 2022/08/25 23:19:23 - mmengine - INFO - Epoch(val) [100][165/500] eta: 0:01:36 time: 0.2516 data_time: 0.0020 memory: 425 2022/08/25 23:19:25 - mmengine - INFO - Epoch(val) [100][170/500] eta: 0:01:48 time: 0.3296 data_time: 0.0025 memory: 425 2022/08/25 23:19:26 - mmengine - INFO - Epoch(val) [100][175/500] eta: 0:01:48 time: 0.3156 data_time: 0.0027 memory: 425 2022/08/25 23:19:27 - mmengine - INFO - Epoch(val) [100][180/500] eta: 0:01:22 time: 0.2565 data_time: 0.0022 memory: 425 2022/08/25 23:19:30 - mmengine - INFO - Epoch(val) [100][185/500] eta: 0:01:22 time: 0.4002 data_time: 0.0249 memory: 425 2022/08/25 23:19:31 - mmengine - INFO - Epoch(val) [100][190/500] eta: 0:02:06 time: 0.4083 data_time: 0.0268 memory: 425 2022/08/25 23:19:32 - mmengine - INFO - Epoch(val) [100][195/500] eta: 0:02:06 time: 0.2669 data_time: 0.0039 memory: 425 2022/08/25 23:19:34 - mmengine - INFO - Epoch(val) [100][200/500] eta: 0:01:23 time: 0.2780 data_time: 0.0020 memory: 425 2022/08/25 23:19:35 - mmengine - INFO - Epoch(val) [100][205/500] eta: 0:01:23 time: 0.2758 data_time: 0.0019 memory: 425 2022/08/25 23:19:36 - mmengine - INFO - Epoch(val) [100][210/500] eta: 0:01:11 time: 0.2470 data_time: 0.0018 memory: 425 2022/08/25 23:19:39 - mmengine - INFO - Epoch(val) [100][215/500] eta: 0:01:11 time: 0.3645 data_time: 0.0035 memory: 425 2022/08/25 23:19:40 - mmengine - INFO - Epoch(val) [100][220/500] eta: 0:01:45 time: 0.3768 data_time: 0.0042 memory: 425 2022/08/25 23:19:42 - mmengine - INFO - Epoch(val) [100][225/500] eta: 0:01:45 time: 0.2911 data_time: 0.0025 memory: 425 2022/08/25 23:19:43 - mmengine - INFO - Epoch(val) [100][230/500] eta: 0:01:13 time: 0.2721 data_time: 0.0018 memory: 425 2022/08/25 23:19:44 - mmengine - INFO - Epoch(val) [100][235/500] eta: 0:01:13 time: 0.2608 data_time: 0.0025 memory: 425 2022/08/25 23:19:46 - mmengine - INFO - Epoch(val) [100][240/500] eta: 0:01:11 time: 0.2769 data_time: 0.0025 memory: 425 2022/08/25 23:19:47 - mmengine - INFO - Epoch(val) [100][245/500] eta: 0:01:11 time: 0.2342 data_time: 0.0018 memory: 425 2022/08/25 23:19:50 - mmengine - INFO - Epoch(val) [100][250/500] eta: 0:01:36 time: 0.3861 data_time: 0.0353 memory: 425 2022/08/25 23:19:51 - mmengine - INFO - Epoch(val) [100][255/500] eta: 0:01:36 time: 0.3899 data_time: 0.0376 memory: 425 2022/08/25 23:19:52 - mmengine - INFO - Epoch(val) [100][260/500] eta: 0:00:56 time: 0.2358 data_time: 0.0042 memory: 425 2022/08/25 23:19:53 - mmengine - INFO - Epoch(val) [100][265/500] eta: 0:00:56 time: 0.2345 data_time: 0.0022 memory: 425 2022/08/25 23:19:55 - mmengine - INFO - Epoch(val) [100][270/500] eta: 0:01:02 time: 0.2733 data_time: 0.0025 memory: 425 2022/08/25 23:19:56 - mmengine - INFO - Epoch(val) [100][275/500] eta: 0:01:02 time: 0.2931 data_time: 0.0028 memory: 425 2022/08/25 23:19:57 - mmengine - INFO - Epoch(val) [100][280/500] eta: 0:01:00 time: 0.2750 data_time: 0.0024 memory: 425 2022/08/25 23:19:59 - mmengine - INFO - Epoch(val) [100][285/500] eta: 0:01:00 time: 0.2699 data_time: 0.0027 memory: 425 2022/08/25 23:20:00 - mmengine - INFO - Epoch(val) [100][290/500] eta: 0:00:52 time: 0.2487 data_time: 0.0027 memory: 425 2022/08/25 23:20:01 - mmengine - INFO - Epoch(val) [100][295/500] eta: 0:00:52 time: 0.2790 data_time: 0.0022 memory: 425 2022/08/25 23:20:03 - mmengine - INFO - Epoch(val) [100][300/500] eta: 0:00:57 time: 0.2898 data_time: 0.0021 memory: 425 2022/08/25 23:20:04 - mmengine - INFO - Epoch(val) [100][305/500] eta: 0:00:57 time: 0.2429 data_time: 0.0019 memory: 425 2022/08/25 23:20:05 - mmengine - INFO - Epoch(val) [100][310/500] eta: 0:00:46 time: 0.2467 data_time: 0.0018 memory: 425 2022/08/25 23:20:07 - mmengine - INFO - Epoch(val) [100][315/500] eta: 0:00:46 time: 0.3002 data_time: 0.0019 memory: 425 2022/08/25 23:20:10 - mmengine - INFO - Epoch(val) [100][320/500] eta: 0:01:28 time: 0.4904 data_time: 0.0266 memory: 425 2022/08/25 23:20:12 - mmengine - INFO - Epoch(val) [100][325/500] eta: 0:01:28 time: 0.5288 data_time: 0.0283 memory: 425 2022/08/25 23:20:13 - mmengine - INFO - Epoch(val) [100][330/500] eta: 0:00:52 time: 0.3087 data_time: 0.0038 memory: 425 2022/08/25 23:20:15 - mmengine - INFO - Epoch(val) [100][335/500] eta: 0:00:52 time: 0.2534 data_time: 0.0020 memory: 425 2022/08/25 23:20:16 - mmengine - INFO - Epoch(val) [100][340/500] eta: 0:00:43 time: 0.2746 data_time: 0.0019 memory: 425 2022/08/25 23:20:17 - mmengine - INFO - Epoch(val) [100][345/500] eta: 0:00:43 time: 0.2830 data_time: 0.0019 memory: 425 2022/08/25 23:20:19 - mmengine - INFO - Epoch(val) [100][350/500] eta: 0:00:50 time: 0.3382 data_time: 0.0028 memory: 425 2022/08/25 23:20:21 - mmengine - INFO - Epoch(val) [100][355/500] eta: 0:00:50 time: 0.3221 data_time: 0.0068 memory: 425 2022/08/25 23:20:22 - mmengine - INFO - Epoch(val) [100][360/500] eta: 0:00:41 time: 0.2971 data_time: 0.0158 memory: 425 2022/08/25 23:20:24 - mmengine - INFO - Epoch(val) [100][365/500] eta: 0:00:41 time: 0.2867 data_time: 0.0118 memory: 425 2022/08/25 23:20:25 - mmengine - INFO - Epoch(val) [100][370/500] eta: 0:00:30 time: 0.2318 data_time: 0.0019 memory: 425 2022/08/25 23:20:26 - mmengine - INFO - Epoch(val) [100][375/500] eta: 0:00:30 time: 0.2414 data_time: 0.0018 memory: 425 2022/08/25 23:20:27 - mmengine - INFO - Epoch(val) [100][380/500] eta: 0:00:30 time: 0.2516 data_time: 0.0018 memory: 425 2022/08/25 23:20:30 - mmengine - INFO - Epoch(val) [100][385/500] eta: 0:00:30 time: 0.3747 data_time: 0.0077 memory: 425 2022/08/25 23:20:31 - mmengine - INFO - Epoch(val) [100][390/500] eta: 0:00:39 time: 0.3589 data_time: 0.0084 memory: 425 2022/08/25 23:20:32 - mmengine - INFO - Epoch(val) [100][395/500] eta: 0:00:39 time: 0.2071 data_time: 0.0025 memory: 425 2022/08/25 23:20:33 - mmengine - INFO - Epoch(val) [100][400/500] eta: 0:00:21 time: 0.2149 data_time: 0.0018 memory: 425 2022/08/25 23:20:34 - mmengine - INFO - Epoch(val) [100][405/500] eta: 0:00:21 time: 0.2374 data_time: 0.0018 memory: 425 2022/08/25 23:20:36 - mmengine - INFO - Epoch(val) [100][410/500] eta: 0:00:23 time: 0.2580 data_time: 0.0018 memory: 425 2022/08/25 23:20:37 - mmengine - INFO - Epoch(val) [100][415/500] eta: 0:00:23 time: 0.2382 data_time: 0.0018 memory: 425 2022/08/25 23:20:38 - mmengine - INFO - Epoch(val) [100][420/500] eta: 0:00:19 time: 0.2400 data_time: 0.0018 memory: 425 2022/08/25 23:20:40 - mmengine - INFO - Epoch(val) [100][425/500] eta: 0:00:19 time: 0.3415 data_time: 0.0126 memory: 425 2022/08/25 23:20:41 - mmengine - INFO - Epoch(val) [100][430/500] eta: 0:00:22 time: 0.3286 data_time: 0.0128 memory: 425 2022/08/25 23:20:42 - mmengine - INFO - Epoch(val) [100][435/500] eta: 0:00:22 time: 0.2397 data_time: 0.0020 memory: 425 2022/08/25 23:20:44 - mmengine - INFO - Epoch(val) [100][440/500] eta: 0:00:15 time: 0.2526 data_time: 0.0018 memory: 425 2022/08/25 23:20:47 - mmengine - INFO - Epoch(val) [100][445/500] eta: 0:00:15 time: 0.4465 data_time: 0.0074 memory: 425 2022/08/25 23:20:48 - mmengine - INFO - Epoch(val) [100][450/500] eta: 0:00:22 time: 0.4500 data_time: 0.0082 memory: 425 2022/08/25 23:20:50 - mmengine - INFO - Epoch(val) [100][455/500] eta: 0:00:22 time: 0.2839 data_time: 0.0027 memory: 425 2022/08/25 23:20:51 - mmengine - INFO - Epoch(val) [100][460/500] eta: 0:00:10 time: 0.2621 data_time: 0.0020 memory: 425 2022/08/25 23:20:52 - mmengine - INFO - Epoch(val) [100][465/500] eta: 0:00:10 time: 0.2341 data_time: 0.0019 memory: 425 2022/08/25 23:20:54 - mmengine - INFO - Epoch(val) [100][470/500] eta: 0:00:07 time: 0.2638 data_time: 0.0018 memory: 425 2022/08/25 23:20:55 - mmengine - INFO - Epoch(val) [100][475/500] eta: 0:00:07 time: 0.2680 data_time: 0.0018 memory: 425 2022/08/25 23:20:56 - mmengine - INFO - Epoch(val) [100][480/500] eta: 0:00:04 time: 0.2448 data_time: 0.0018 memory: 425 2022/08/25 23:20:57 - mmengine - INFO - Epoch(val) [100][485/500] eta: 0:00:04 time: 0.2354 data_time: 0.0019 memory: 425 2022/08/25 23:21:00 - mmengine - INFO - Epoch(val) [100][490/500] eta: 0:00:04 time: 0.4141 data_time: 0.0159 memory: 425 2022/08/25 23:21:01 - mmengine - INFO - Epoch(val) [100][495/500] eta: 0:00:04 time: 0.4367 data_time: 0.0179 memory: 425 2022/08/25 23:21:03 - mmengine - INFO - Epoch(val) [100][500/500] eta: 0:00:00 time: 0.2435 data_time: 0.0038 memory: 425 2022/08/25 23:21:03 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:21:03 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0072, precision: 0.0002, hmean: 0.0004 2022/08/25 23:21:03 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:21:03 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:21:03 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:21:03 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:21:03 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:21:03 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:21:03 - mmengine - INFO - Epoch(val) [100][500/500] icdar/precision: 0.0002 icdar/recall: 0.0072 icdar/hmean: 0.0004 2022/08/25 23:21:07 - mmengine - INFO - Epoch(train) [101][5/63] lr: 6.4723e-03 eta: 0:00:00 time: 0.5885 data_time: 0.1715 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7122 loss_db: 0.2830 loss: 3.8540 2022/08/25 23:21:09 - mmengine - INFO - Epoch(train) [101][10/63] lr: 6.4723e-03 eta: 8:17:23 time: 0.5899 data_time: 0.1749 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7144 loss_db: 0.2826 loss: 3.8542 2022/08/25 23:21:10 - mmengine - INFO - Epoch(train) [101][15/63] lr: 6.4723e-03 eta: 8:17:23 time: 0.3754 data_time: 0.0181 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7320 loss_db: 0.2704 loss: 3.8584 2022/08/25 23:21:12 - mmengine - INFO - Epoch(train) [101][20/63] lr: 6.4723e-03 eta: 8:17:12 time: 0.3733 data_time: 0.0156 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7464 loss_db: 0.2847 loss: 3.8872 2022/08/25 23:21:14 - mmengine - INFO - Epoch(train) [101][25/63] lr: 6.4723e-03 eta: 8:17:12 time: 0.3632 data_time: 0.0196 memory: 6760 loss_prob: 2.8597 loss_thr: 0.7292 loss_db: 0.2889 loss: 3.8778 2022/08/25 23:21:16 - mmengine - INFO - Epoch(train) [101][30/63] lr: 6.4723e-03 eta: 8:17:01 time: 0.3665 data_time: 0.0227 memory: 6760 loss_prob: 2.8740 loss_thr: 0.7413 loss_db: 0.2988 loss: 3.9141 2022/08/25 23:21:20 - mmengine - INFO - Epoch(train) [101][35/63] lr: 6.4723e-03 eta: 8:17:01 time: 0.5368 data_time: 0.0227 memory: 6760 loss_prob: 2.8729 loss_thr: 0.7521 loss_db: 0.2830 loss: 3.9081 2022/08/25 23:21:22 - mmengine - INFO - Epoch(train) [101][40/63] lr: 6.4723e-03 eta: 8:17:10 time: 0.5513 data_time: 0.0258 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6998 loss_db: 0.2617 loss: 3.8198 2022/08/25 23:21:23 - mmengine - INFO - Epoch(train) [101][45/63] lr: 6.4723e-03 eta: 8:17:10 time: 0.3852 data_time: 0.0255 memory: 6760 loss_prob: 2.8551 loss_thr: 0.6685 loss_db: 0.2598 loss: 3.7833 2022/08/25 23:21:25 - mmengine - INFO - Epoch(train) [101][50/63] lr: 6.4723e-03 eta: 8:16:59 time: 0.3704 data_time: 0.0190 memory: 6760 loss_prob: 2.8554 loss_thr: 0.6752 loss_db: 0.2559 loss: 3.7865 2022/08/25 23:21:27 - mmengine - INFO - Epoch(train) [101][55/63] lr: 6.4723e-03 eta: 8:16:59 time: 0.3742 data_time: 0.0215 memory: 6760 loss_prob: 2.8556 loss_thr: 0.6996 loss_db: 0.2702 loss: 3.8254 2022/08/25 23:21:29 - mmengine - INFO - Epoch(train) [101][60/63] lr: 6.4723e-03 eta: 8:16:50 time: 0.3917 data_time: 0.0222 memory: 6760 loss_prob: 2.8550 loss_thr: 0.6905 loss_db: 0.2645 loss: 3.8100 2022/08/25 23:21:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:21:34 - mmengine - INFO - Epoch(train) [102][5/63] lr: 6.4670e-03 eta: 8:16:50 time: 0.5120 data_time: 0.1646 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6877 loss_db: 0.2532 loss: 3.7976 2022/08/25 23:21:35 - mmengine - INFO - Epoch(train) [102][10/63] lr: 6.4670e-03 eta: 8:16:41 time: 0.5292 data_time: 0.1763 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6919 loss_db: 0.2500 loss: 3.8006 2022/08/25 23:21:37 - mmengine - INFO - Epoch(train) [102][15/63] lr: 6.4670e-03 eta: 8:16:41 time: 0.3788 data_time: 0.0285 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7050 loss_db: 0.2797 loss: 3.8432 2022/08/25 23:21:40 - mmengine - INFO - Epoch(train) [102][20/63] lr: 6.4670e-03 eta: 8:16:37 time: 0.4289 data_time: 0.0306 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7315 loss_db: 0.2772 loss: 3.8677 2022/08/25 23:21:42 - mmengine - INFO - Epoch(train) [102][25/63] lr: 6.4670e-03 eta: 8:16:37 time: 0.4222 data_time: 0.0283 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7220 loss_db: 0.2627 loss: 3.8434 2022/08/25 23:21:43 - mmengine - INFO - Epoch(train) [102][30/63] lr: 6.4670e-03 eta: 8:16:24 time: 0.3554 data_time: 0.0151 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6744 loss_db: 0.2726 loss: 3.8048 2022/08/25 23:21:45 - mmengine - INFO - Epoch(train) [102][35/63] lr: 6.4670e-03 eta: 8:16:24 time: 0.3660 data_time: 0.0216 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6921 loss_db: 0.2602 loss: 3.8115 2022/08/25 23:21:47 - mmengine - INFO - Epoch(train) [102][40/63] lr: 6.4670e-03 eta: 8:16:14 time: 0.3773 data_time: 0.0195 memory: 6760 loss_prob: 2.8598 loss_thr: 0.7180 loss_db: 0.2565 loss: 3.8344 2022/08/25 23:21:49 - mmengine - INFO - Epoch(train) [102][45/63] lr: 6.4670e-03 eta: 8:16:14 time: 0.3972 data_time: 0.0228 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6978 loss_db: 0.2695 loss: 3.8259 2022/08/25 23:21:51 - mmengine - INFO - Epoch(train) [102][50/63] lr: 6.4670e-03 eta: 8:16:07 time: 0.4007 data_time: 0.0316 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6860 loss_db: 0.2651 loss: 3.8093 2022/08/25 23:21:53 - mmengine - INFO - Epoch(train) [102][55/63] lr: 6.4670e-03 eta: 8:16:07 time: 0.3778 data_time: 0.0210 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6836 loss_db: 0.2622 loss: 3.8031 2022/08/25 23:21:55 - mmengine - INFO - Epoch(train) [102][60/63] lr: 6.4670e-03 eta: 8:15:57 time: 0.3750 data_time: 0.0156 memory: 6760 loss_prob: 2.8575 loss_thr: 0.7150 loss_db: 0.2557 loss: 3.8282 2022/08/25 23:21:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:21:59 - mmengine - INFO - Epoch(train) [103][5/63] lr: 6.4617e-03 eta: 8:15:57 time: 0.5184 data_time: 0.1419 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7050 loss_db: 0.2635 loss: 3.8249 2022/08/25 23:22:01 - mmengine - INFO - Epoch(train) [103][10/63] lr: 6.4617e-03 eta: 8:15:49 time: 0.5390 data_time: 0.1513 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7014 loss_db: 0.2699 loss: 3.8290 2022/08/25 23:22:03 - mmengine - INFO - Epoch(train) [103][15/63] lr: 6.4617e-03 eta: 8:15:49 time: 0.3796 data_time: 0.0278 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7045 loss_db: 0.2638 loss: 3.8279 2022/08/25 23:22:05 - mmengine - INFO - Epoch(train) [103][20/63] lr: 6.4617e-03 eta: 8:15:38 time: 0.3719 data_time: 0.0212 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6979 loss_db: 0.2603 loss: 3.8178 2022/08/25 23:22:07 - mmengine - INFO - Epoch(train) [103][25/63] lr: 6.4617e-03 eta: 8:15:38 time: 0.3603 data_time: 0.0176 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7171 loss_db: 0.2690 loss: 3.8460 2022/08/25 23:22:10 - mmengine - INFO - Epoch(train) [103][30/63] lr: 6.4617e-03 eta: 8:15:37 time: 0.4605 data_time: 0.0197 memory: 6760 loss_prob: 2.8595 loss_thr: 0.7366 loss_db: 0.2794 loss: 3.8755 2022/08/25 23:22:12 - mmengine - INFO - Epoch(train) [103][35/63] lr: 6.4617e-03 eta: 8:15:37 time: 0.4875 data_time: 0.0287 memory: 6760 loss_prob: 2.8608 loss_thr: 0.7307 loss_db: 0.2773 loss: 3.8688 2022/08/25 23:22:13 - mmengine - INFO - Epoch(train) [103][40/63] lr: 6.4617e-03 eta: 8:15:28 time: 0.3872 data_time: 0.0254 memory: 6760 loss_prob: 2.8617 loss_thr: 0.7145 loss_db: 0.2853 loss: 3.8614 2022/08/25 23:22:15 - mmengine - INFO - Epoch(train) [103][45/63] lr: 6.4617e-03 eta: 8:15:28 time: 0.3673 data_time: 0.0158 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6792 loss_db: 0.2856 loss: 3.8241 2022/08/25 23:22:17 - mmengine - INFO - Epoch(train) [103][50/63] lr: 6.4617e-03 eta: 8:15:18 time: 0.3692 data_time: 0.0169 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6572 loss_db: 0.2842 loss: 3.7982 2022/08/25 23:22:19 - mmengine - INFO - Epoch(train) [103][55/63] lr: 6.4617e-03 eta: 8:15:18 time: 0.3950 data_time: 0.0234 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6675 loss_db: 0.2728 loss: 3.7970 2022/08/25 23:22:22 - mmengine - INFO - Epoch(train) [103][60/63] lr: 6.4617e-03 eta: 8:15:22 time: 0.5126 data_time: 0.0435 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6914 loss_db: 0.2639 loss: 3.8131 2022/08/25 23:22:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:22:27 - mmengine - INFO - Epoch(train) [104][5/63] lr: 6.4564e-03 eta: 8:15:22 time: 0.5547 data_time: 0.1971 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7354 loss_db: 0.2681 loss: 3.8617 2022/08/25 23:22:29 - mmengine - INFO - Epoch(train) [104][10/63] lr: 6.4564e-03 eta: 8:15:19 time: 0.5818 data_time: 0.2006 memory: 6760 loss_prob: 2.8584 loss_thr: 0.7049 loss_db: 0.2644 loss: 3.8277 2022/08/25 23:22:31 - mmengine - INFO - Epoch(train) [104][15/63] lr: 6.4564e-03 eta: 8:15:19 time: 0.4013 data_time: 0.0230 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6753 loss_db: 0.2711 loss: 3.8030 2022/08/25 23:22:33 - mmengine - INFO - Epoch(train) [104][20/63] lr: 6.4564e-03 eta: 8:15:09 time: 0.3784 data_time: 0.0154 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7050 loss_db: 0.2831 loss: 3.8444 2022/08/25 23:22:35 - mmengine - INFO - Epoch(train) [104][25/63] lr: 6.4564e-03 eta: 8:15:09 time: 0.3805 data_time: 0.0303 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7073 loss_db: 0.2563 loss: 3.8217 2022/08/25 23:22:37 - mmengine - INFO - Epoch(train) [104][30/63] lr: 6.4564e-03 eta: 8:14:59 time: 0.3735 data_time: 0.0218 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6852 loss_db: 0.2537 loss: 3.7966 2022/08/25 23:22:41 - mmengine - INFO - Epoch(train) [104][35/63] lr: 6.4564e-03 eta: 8:14:59 time: 0.5979 data_time: 0.0384 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6709 loss_db: 0.2422 loss: 3.7705 2022/08/25 23:22:43 - mmengine - INFO - Epoch(train) [104][40/63] lr: 6.4564e-03 eta: 8:15:15 time: 0.6204 data_time: 0.0556 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7048 loss_db: 0.2594 loss: 3.8241 2022/08/25 23:22:45 - mmengine - INFO - Epoch(train) [104][45/63] lr: 6.4564e-03 eta: 8:15:15 time: 0.3852 data_time: 0.0310 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7238 loss_db: 0.2749 loss: 3.8581 2022/08/25 23:22:47 - mmengine - INFO - Epoch(train) [104][50/63] lr: 6.4564e-03 eta: 8:15:04 time: 0.3728 data_time: 0.0279 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7160 loss_db: 0.2737 loss: 3.8495 2022/08/25 23:22:48 - mmengine - INFO - Epoch(train) [104][55/63] lr: 6.4564e-03 eta: 8:15:04 time: 0.3766 data_time: 0.0238 memory: 6760 loss_prob: 2.8616 loss_thr: 0.7288 loss_db: 0.2772 loss: 3.8676 2022/08/25 23:22:50 - mmengine - INFO - Epoch(train) [104][60/63] lr: 6.4564e-03 eta: 8:14:54 time: 0.3695 data_time: 0.0165 memory: 6760 loss_prob: 2.8597 loss_thr: 0.7173 loss_db: 0.2648 loss: 3.8418 2022/08/25 23:22:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:22:55 - mmengine - INFO - Epoch(train) [105][5/63] lr: 6.4511e-03 eta: 8:14:54 time: 0.5012 data_time: 0.1568 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7107 loss_db: 0.2629 loss: 3.8321 2022/08/25 23:22:56 - mmengine - INFO - Epoch(train) [105][10/63] lr: 6.4511e-03 eta: 8:14:44 time: 0.5184 data_time: 0.1615 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7234 loss_db: 0.2719 loss: 3.8534 2022/08/25 23:22:58 - mmengine - INFO - Epoch(train) [105][15/63] lr: 6.4511e-03 eta: 8:14:44 time: 0.3869 data_time: 0.0220 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7325 loss_db: 0.2756 loss: 3.8668 2022/08/25 23:23:00 - mmengine - INFO - Epoch(train) [105][20/63] lr: 6.4511e-03 eta: 8:14:36 time: 0.4008 data_time: 0.0278 memory: 6760 loss_prob: 2.8601 loss_thr: 0.7170 loss_db: 0.2683 loss: 3.8455 2022/08/25 23:23:02 - mmengine - INFO - Epoch(train) [105][25/63] lr: 6.4511e-03 eta: 8:14:36 time: 0.3859 data_time: 0.0240 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6891 loss_db: 0.2577 loss: 3.8062 2022/08/25 23:23:04 - mmengine - INFO - Epoch(train) [105][30/63] lr: 6.4511e-03 eta: 8:14:26 time: 0.3740 data_time: 0.0171 memory: 6760 loss_prob: 2.8594 loss_thr: 0.7042 loss_db: 0.2618 loss: 3.8254 2022/08/25 23:23:06 - mmengine - INFO - Epoch(train) [105][35/63] lr: 6.4511e-03 eta: 8:14:26 time: 0.3663 data_time: 0.0181 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7232 loss_db: 0.2685 loss: 3.8513 2022/08/25 23:23:08 - mmengine - INFO - Epoch(train) [105][40/63] lr: 6.4511e-03 eta: 8:14:18 time: 0.3879 data_time: 0.0182 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7026 loss_db: 0.2680 loss: 3.8292 2022/08/25 23:23:11 - mmengine - INFO - Epoch(train) [105][45/63] lr: 6.4511e-03 eta: 8:14:18 time: 0.4896 data_time: 0.0375 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6853 loss_db: 0.2720 loss: 3.8163 2022/08/25 23:23:13 - mmengine - INFO - Epoch(train) [105][50/63] lr: 6.4511e-03 eta: 8:14:17 time: 0.4670 data_time: 0.0364 memory: 6760 loss_prob: 2.8617 loss_thr: 0.7035 loss_db: 0.2621 loss: 3.8272 2022/08/25 23:23:15 - mmengine - INFO - Epoch(train) [105][55/63] lr: 6.4511e-03 eta: 8:14:17 time: 0.3754 data_time: 0.0174 memory: 6760 loss_prob: 2.8632 loss_thr: 0.7002 loss_db: 0.2718 loss: 3.8352 2022/08/25 23:23:17 - mmengine - INFO - Epoch(train) [105][60/63] lr: 6.4511e-03 eta: 8:14:08 time: 0.3839 data_time: 0.0208 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6825 loss_db: 0.2808 loss: 3.8251 2022/08/25 23:23:18 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:23:22 - mmengine - INFO - Epoch(train) [106][5/63] lr: 6.4458e-03 eta: 8:14:08 time: 0.6082 data_time: 0.2533 memory: 6760 loss_prob: 2.8552 loss_thr: 0.6691 loss_db: 0.2759 loss: 3.8002 2022/08/25 23:23:24 - mmengine - INFO - Epoch(train) [106][10/63] lr: 6.4458e-03 eta: 8:14:10 time: 0.6308 data_time: 0.2559 memory: 6760 loss_prob: 2.8525 loss_thr: 0.6751 loss_db: 0.2658 loss: 3.7934 2022/08/25 23:23:26 - mmengine - INFO - Epoch(train) [106][15/63] lr: 6.4458e-03 eta: 8:14:10 time: 0.3808 data_time: 0.0221 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7064 loss_db: 0.2711 loss: 3.8335 2022/08/25 23:23:28 - mmengine - INFO - Epoch(train) [106][20/63] lr: 6.4458e-03 eta: 8:14:00 time: 0.3727 data_time: 0.0248 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7008 loss_db: 0.2849 loss: 3.8421 2022/08/25 23:23:30 - mmengine - INFO - Epoch(train) [106][25/63] lr: 6.4458e-03 eta: 8:14:00 time: 0.4491 data_time: 0.0185 memory: 6760 loss_prob: 2.8531 loss_thr: 0.6866 loss_db: 0.2731 loss: 3.8128 2022/08/25 23:23:32 - mmengine - INFO - Epoch(train) [106][30/63] lr: 6.4458e-03 eta: 8:13:57 time: 0.4412 data_time: 0.0158 memory: 6760 loss_prob: 2.8523 loss_thr: 0.6850 loss_db: 0.2550 loss: 3.7923 2022/08/25 23:23:34 - mmengine - INFO - Epoch(train) [106][35/63] lr: 6.4458e-03 eta: 8:13:57 time: 0.3778 data_time: 0.0295 memory: 6760 loss_prob: 2.8535 loss_thr: 0.7016 loss_db: 0.2367 loss: 3.7919 2022/08/25 23:23:36 - mmengine - INFO - Epoch(train) [106][40/63] lr: 6.4458e-03 eta: 8:13:47 time: 0.3745 data_time: 0.0228 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7048 loss_db: 0.2484 loss: 3.8088 2022/08/25 23:23:38 - mmengine - INFO - Epoch(train) [106][45/63] lr: 6.4458e-03 eta: 8:13:47 time: 0.3680 data_time: 0.0159 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6803 loss_db: 0.2572 loss: 3.7950 2022/08/25 23:23:40 - mmengine - INFO - Epoch(train) [106][50/63] lr: 6.4458e-03 eta: 8:13:42 time: 0.4272 data_time: 0.0259 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6765 loss_db: 0.2442 loss: 3.7816 2022/08/25 23:23:42 - mmengine - INFO - Epoch(train) [106][55/63] lr: 6.4458e-03 eta: 8:13:42 time: 0.4372 data_time: 0.0263 memory: 6760 loss_prob: 2.8664 loss_thr: 0.7354 loss_db: 0.2629 loss: 3.8647 2022/08/25 23:23:44 - mmengine - INFO - Epoch(train) [106][60/63] lr: 6.4458e-03 eta: 8:13:34 time: 0.3955 data_time: 0.0290 memory: 6760 loss_prob: 2.8638 loss_thr: 0.7299 loss_db: 0.2653 loss: 3.8591 2022/08/25 23:23:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:23:48 - mmengine - INFO - Epoch(train) [107][5/63] lr: 6.4405e-03 eta: 8:13:34 time: 0.5020 data_time: 0.1441 memory: 6760 loss_prob: 2.8618 loss_thr: 0.7386 loss_db: 0.3187 loss: 3.9190 2022/08/25 23:23:50 - mmengine - INFO - Epoch(train) [107][10/63] lr: 6.4405e-03 eta: 8:13:25 time: 0.5201 data_time: 0.1576 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6883 loss_db: 0.2717 loss: 3.8182 2022/08/25 23:23:52 - mmengine - INFO - Epoch(train) [107][15/63] lr: 6.4405e-03 eta: 8:13:25 time: 0.3756 data_time: 0.0263 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6835 loss_db: 0.2624 loss: 3.8042 2022/08/25 23:23:54 - mmengine - INFO - Epoch(train) [107][20/63] lr: 6.4405e-03 eta: 8:13:14 time: 0.3669 data_time: 0.0148 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6823 loss_db: 0.2515 loss: 3.7925 2022/08/25 23:23:56 - mmengine - INFO - Epoch(train) [107][25/63] lr: 6.4405e-03 eta: 8:13:14 time: 0.3773 data_time: 0.0251 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6600 loss_db: 0.2517 loss: 3.7686 2022/08/25 23:23:58 - mmengine - INFO - Epoch(train) [107][30/63] lr: 6.4405e-03 eta: 8:13:03 time: 0.3644 data_time: 0.0216 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6691 loss_db: 0.2663 loss: 3.7927 2022/08/25 23:24:01 - mmengine - INFO - Epoch(train) [107][35/63] lr: 6.4405e-03 eta: 8:13:03 time: 0.5545 data_time: 0.0710 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6928 loss_db: 0.2793 loss: 3.8288 2022/08/25 23:24:03 - mmengine - INFO - Epoch(train) [107][40/63] lr: 6.4405e-03 eta: 8:13:14 time: 0.5741 data_time: 0.0762 memory: 6760 loss_prob: 2.8559 loss_thr: 0.7005 loss_db: 0.2701 loss: 3.8265 2022/08/25 23:24:05 - mmengine - INFO - Epoch(train) [107][45/63] lr: 6.4405e-03 eta: 8:13:14 time: 0.3804 data_time: 0.0211 memory: 6760 loss_prob: 2.8591 loss_thr: 0.7192 loss_db: 0.2573 loss: 3.8357 2022/08/25 23:24:07 - mmengine - INFO - Epoch(train) [107][50/63] lr: 6.4405e-03 eta: 8:13:03 time: 0.3721 data_time: 0.0253 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6835 loss_db: 0.2552 loss: 3.7976 2022/08/25 23:24:09 - mmengine - INFO - Epoch(train) [107][55/63] lr: 6.4405e-03 eta: 8:13:03 time: 0.3794 data_time: 0.0238 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6918 loss_db: 0.2693 loss: 3.8184 2022/08/25 23:24:11 - mmengine - INFO - Epoch(train) [107][60/63] lr: 6.4405e-03 eta: 8:12:53 time: 0.3727 data_time: 0.0167 memory: 6760 loss_prob: 2.8589 loss_thr: 0.7030 loss_db: 0.2562 loss: 3.8181 2022/08/25 23:24:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:24:15 - mmengine - INFO - Epoch(train) [108][5/63] lr: 6.4352e-03 eta: 8:12:53 time: 0.5238 data_time: 0.1630 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7139 loss_db: 0.2823 loss: 3.8544 2022/08/25 23:24:17 - mmengine - INFO - Epoch(train) [108][10/63] lr: 6.4352e-03 eta: 8:12:45 time: 0.5346 data_time: 0.1701 memory: 6760 loss_prob: 2.8609 loss_thr: 0.7061 loss_db: 0.2677 loss: 3.8347 2022/08/25 23:24:19 - mmengine - INFO - Epoch(train) [108][15/63] lr: 6.4352e-03 eta: 8:12:45 time: 0.3845 data_time: 0.0219 memory: 6760 loss_prob: 2.8610 loss_thr: 0.7132 loss_db: 0.2577 loss: 3.8319 2022/08/25 23:24:21 - mmengine - INFO - Epoch(train) [108][20/63] lr: 6.4352e-03 eta: 8:12:37 time: 0.3871 data_time: 0.0189 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6971 loss_db: 0.2581 loss: 3.8151 2022/08/25 23:24:23 - mmengine - INFO - Epoch(train) [108][25/63] lr: 6.4352e-03 eta: 8:12:37 time: 0.3842 data_time: 0.0200 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6992 loss_db: 0.2502 loss: 3.8081 2022/08/25 23:24:25 - mmengine - INFO - Epoch(train) [108][30/63] lr: 6.4352e-03 eta: 8:12:28 time: 0.3892 data_time: 0.0213 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6849 loss_db: 0.2508 loss: 3.7927 2022/08/25 23:24:27 - mmengine - INFO - Epoch(train) [108][35/63] lr: 6.4352e-03 eta: 8:12:28 time: 0.3674 data_time: 0.0177 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6827 loss_db: 0.2868 loss: 3.8300 2022/08/25 23:24:31 - mmengine - INFO - Epoch(train) [108][40/63] lr: 6.4352e-03 eta: 8:12:39 time: 0.5782 data_time: 0.0229 memory: 6760 loss_prob: 2.8613 loss_thr: 0.7073 loss_db: 0.2948 loss: 3.8635 2022/08/25 23:24:33 - mmengine - INFO - Epoch(train) [108][45/63] lr: 6.4352e-03 eta: 8:12:39 time: 0.5954 data_time: 0.0310 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6789 loss_db: 0.2686 loss: 3.8058 2022/08/25 23:24:34 - mmengine - INFO - Epoch(train) [108][50/63] lr: 6.4352e-03 eta: 8:12:30 time: 0.3783 data_time: 0.0207 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6902 loss_db: 0.2693 loss: 3.8185 2022/08/25 23:24:36 - mmengine - INFO - Epoch(train) [108][55/63] lr: 6.4352e-03 eta: 8:12:30 time: 0.3561 data_time: 0.0156 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7035 loss_db: 0.2676 loss: 3.8301 2022/08/25 23:24:38 - mmengine - INFO - Epoch(train) [108][60/63] lr: 6.4352e-03 eta: 8:12:18 time: 0.3604 data_time: 0.0172 memory: 6760 loss_prob: 2.8584 loss_thr: 0.7010 loss_db: 0.2999 loss: 3.8593 2022/08/25 23:24:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:24:43 - mmengine - INFO - Epoch(train) [109][5/63] lr: 6.4299e-03 eta: 8:12:18 time: 0.5362 data_time: 0.1740 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6726 loss_db: 0.2718 loss: 3.8035 2022/08/25 23:24:46 - mmengine - INFO - Epoch(train) [109][10/63] lr: 6.4299e-03 eta: 8:12:20 time: 0.6316 data_time: 0.2317 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6780 loss_db: 0.2728 loss: 3.8085 2022/08/25 23:24:47 - mmengine - INFO - Epoch(train) [109][15/63] lr: 6.4299e-03 eta: 8:12:20 time: 0.4839 data_time: 0.0881 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6862 loss_db: 0.2723 loss: 3.8166 2022/08/25 23:24:49 - mmengine - INFO - Epoch(train) [109][20/63] lr: 6.4299e-03 eta: 8:12:11 time: 0.3775 data_time: 0.0207 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6786 loss_db: 0.2587 loss: 3.7967 2022/08/25 23:24:52 - mmengine - INFO - Epoch(train) [109][25/63] lr: 6.4299e-03 eta: 8:12:11 time: 0.4203 data_time: 0.0253 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6861 loss_db: 0.2566 loss: 3.8022 2022/08/25 23:24:54 - mmengine - INFO - Epoch(train) [109][30/63] lr: 6.4299e-03 eta: 8:12:05 time: 0.4213 data_time: 0.0218 memory: 6760 loss_prob: 2.8597 loss_thr: 0.7111 loss_db: 0.2634 loss: 3.8342 2022/08/25 23:24:55 - mmengine - INFO - Epoch(train) [109][35/63] lr: 6.4299e-03 eta: 8:12:05 time: 0.3661 data_time: 0.0166 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6954 loss_db: 0.2455 loss: 3.8003 2022/08/25 23:24:57 - mmengine - INFO - Epoch(train) [109][40/63] lr: 6.4299e-03 eta: 8:11:55 time: 0.3636 data_time: 0.0169 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6938 loss_db: 0.2478 loss: 3.7990 2022/08/25 23:25:00 - mmengine - INFO - Epoch(train) [109][45/63] lr: 6.4299e-03 eta: 8:11:55 time: 0.4769 data_time: 0.0258 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7227 loss_db: 0.2746 loss: 3.8552 2022/08/25 23:25:02 - mmengine - INFO - Epoch(train) [109][50/63] lr: 6.4299e-03 eta: 8:11:56 time: 0.4863 data_time: 0.0332 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6886 loss_db: 0.2463 loss: 3.7959 2022/08/25 23:25:04 - mmengine - INFO - Epoch(train) [109][55/63] lr: 6.4299e-03 eta: 8:11:56 time: 0.3845 data_time: 0.0248 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6810 loss_db: 0.2521 loss: 3.7942 2022/08/25 23:25:06 - mmengine - INFO - Epoch(train) [109][60/63] lr: 6.4299e-03 eta: 8:11:46 time: 0.3736 data_time: 0.0157 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6997 loss_db: 0.2635 loss: 3.8237 2022/08/25 23:25:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:25:10 - mmengine - INFO - Epoch(train) [110][5/63] lr: 6.4246e-03 eta: 8:11:46 time: 0.4874 data_time: 0.1448 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6610 loss_db: 0.2564 loss: 3.7770 2022/08/25 23:25:12 - mmengine - INFO - Epoch(train) [110][10/63] lr: 6.4246e-03 eta: 8:11:35 time: 0.5002 data_time: 0.1450 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6700 loss_db: 0.2563 loss: 3.7859 2022/08/25 23:25:14 - mmengine - INFO - Epoch(train) [110][15/63] lr: 6.4246e-03 eta: 8:11:35 time: 0.3937 data_time: 0.0211 memory: 6760 loss_prob: 2.8591 loss_thr: 0.7032 loss_db: 0.2567 loss: 3.8190 2022/08/25 23:25:16 - mmengine - INFO - Epoch(train) [110][20/63] lr: 6.4246e-03 eta: 8:11:28 time: 0.4007 data_time: 0.0246 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7070 loss_db: 0.2625 loss: 3.8266 2022/08/25 23:25:18 - mmengine - INFO - Epoch(train) [110][25/63] lr: 6.4246e-03 eta: 8:11:28 time: 0.3678 data_time: 0.0171 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6942 loss_db: 0.2683 loss: 3.8189 2022/08/25 23:25:21 - mmengine - INFO - Epoch(train) [110][30/63] lr: 6.4246e-03 eta: 8:11:30 time: 0.4995 data_time: 0.0700 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6723 loss_db: 0.2523 loss: 3.7820 2022/08/25 23:25:23 - mmengine - INFO - Epoch(train) [110][35/63] lr: 6.4246e-03 eta: 8:11:30 time: 0.4996 data_time: 0.0721 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6617 loss_db: 0.2543 loss: 3.7738 2022/08/25 23:25:24 - mmengine - INFO - Epoch(train) [110][40/63] lr: 6.4246e-03 eta: 8:11:20 time: 0.3659 data_time: 0.0249 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6940 loss_db: 0.2728 loss: 3.8254 2022/08/25 23:25:26 - mmengine - INFO - Epoch(train) [110][45/63] lr: 6.4246e-03 eta: 8:11:20 time: 0.3812 data_time: 0.0275 memory: 6760 loss_prob: 2.8607 loss_thr: 0.7339 loss_db: 0.2731 loss: 3.8677 2022/08/25 23:25:29 - mmengine - INFO - Epoch(train) [110][50/63] lr: 6.4246e-03 eta: 8:11:14 time: 0.4183 data_time: 0.0182 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7143 loss_db: 0.2744 loss: 3.8486 2022/08/25 23:25:31 - mmengine - INFO - Epoch(train) [110][55/63] lr: 6.4246e-03 eta: 8:11:14 time: 0.4456 data_time: 0.0209 memory: 6760 loss_prob: 2.8635 loss_thr: 0.6777 loss_db: 0.2752 loss: 3.8165 2022/08/25 23:25:33 - mmengine - INFO - Epoch(train) [110][60/63] lr: 6.4246e-03 eta: 8:11:08 time: 0.4083 data_time: 0.0229 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6907 loss_db: 0.2752 loss: 3.8285 2022/08/25 23:25:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:25:37 - mmengine - INFO - Epoch(train) [111][5/63] lr: 6.4193e-03 eta: 8:11:08 time: 0.5106 data_time: 0.1609 memory: 6760 loss_prob: 2.8603 loss_thr: 0.7062 loss_db: 0.2796 loss: 3.8461 2022/08/25 23:25:40 - mmengine - INFO - Epoch(train) [111][10/63] lr: 6.4193e-03 eta: 8:11:04 time: 0.5752 data_time: 0.1678 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6592 loss_db: 0.2693 loss: 3.7860 2022/08/25 23:25:41 - mmengine - INFO - Epoch(train) [111][15/63] lr: 6.4193e-03 eta: 8:11:04 time: 0.4363 data_time: 0.0270 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6732 loss_db: 0.2676 loss: 3.7995 2022/08/25 23:25:43 - mmengine - INFO - Epoch(train) [111][20/63] lr: 6.4193e-03 eta: 8:10:55 time: 0.3777 data_time: 0.0160 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7055 loss_db: 0.2663 loss: 3.8318 2022/08/25 23:25:45 - mmengine - INFO - Epoch(train) [111][25/63] lr: 6.4193e-03 eta: 8:10:55 time: 0.3744 data_time: 0.0215 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7229 loss_db: 0.2678 loss: 3.8495 2022/08/25 23:25:47 - mmengine - INFO - Epoch(train) [111][30/63] lr: 6.4193e-03 eta: 8:10:45 time: 0.3719 data_time: 0.0217 memory: 6760 loss_prob: 2.8603 loss_thr: 0.7553 loss_db: 0.2683 loss: 3.8840 2022/08/25 23:25:50 - mmengine - INFO - Epoch(train) [111][35/63] lr: 6.4193e-03 eta: 8:10:45 time: 0.4834 data_time: 0.0349 memory: 6760 loss_prob: 2.8614 loss_thr: 0.7372 loss_db: 0.2626 loss: 3.8611 2022/08/25 23:25:52 - mmengine - INFO - Epoch(train) [111][40/63] lr: 6.4193e-03 eta: 8:10:45 time: 0.4726 data_time: 0.0346 memory: 6760 loss_prob: 2.8603 loss_thr: 0.7038 loss_db: 0.2646 loss: 3.8287 2022/08/25 23:25:54 - mmengine - INFO - Epoch(train) [111][45/63] lr: 6.4193e-03 eta: 8:10:45 time: 0.3641 data_time: 0.0194 memory: 6760 loss_prob: 2.8608 loss_thr: 0.7096 loss_db: 0.2647 loss: 3.8351 2022/08/25 23:25:56 - mmengine - INFO - Epoch(train) [111][50/63] lr: 6.4193e-03 eta: 8:10:36 time: 0.3825 data_time: 0.0285 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6998 loss_db: 0.2488 loss: 3.8093 2022/08/25 23:25:57 - mmengine - INFO - Epoch(train) [111][55/63] lr: 6.4193e-03 eta: 8:10:36 time: 0.3766 data_time: 0.0220 memory: 6760 loss_prob: 2.8598 loss_thr: 0.7057 loss_db: 0.2715 loss: 3.8371 2022/08/25 23:26:00 - mmengine - INFO - Epoch(train) [111][60/63] lr: 6.4193e-03 eta: 8:10:29 time: 0.4045 data_time: 0.0232 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7335 loss_db: 0.2928 loss: 3.8847 2022/08/25 23:26:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:26:04 - mmengine - INFO - Epoch(train) [112][5/63] lr: 6.4140e-03 eta: 8:10:29 time: 0.5121 data_time: 0.1712 memory: 6760 loss_prob: 2.8639 loss_thr: 0.6726 loss_db: 0.2480 loss: 3.7844 2022/08/25 23:26:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:26:06 - mmengine - INFO - Epoch(train) [112][10/63] lr: 6.4140e-03 eta: 8:10:24 time: 0.5577 data_time: 0.1844 memory: 6760 loss_prob: 2.8666 loss_thr: 0.6438 loss_db: 0.2374 loss: 3.7478 2022/08/25 23:26:08 - mmengine - INFO - Epoch(train) [112][15/63] lr: 6.4140e-03 eta: 8:10:24 time: 0.3795 data_time: 0.0207 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6544 loss_db: 0.2445 loss: 3.7619 2022/08/25 23:26:10 - mmengine - INFO - Epoch(train) [112][20/63] lr: 6.4140e-03 eta: 8:10:17 time: 0.4016 data_time: 0.0164 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6997 loss_db: 0.2717 loss: 3.8344 2022/08/25 23:26:12 - mmengine - INFO - Epoch(train) [112][25/63] lr: 6.4140e-03 eta: 8:10:17 time: 0.4040 data_time: 0.0198 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6697 loss_db: 0.2688 loss: 3.7993 2022/08/25 23:26:14 - mmengine - INFO - Epoch(train) [112][30/63] lr: 6.4140e-03 eta: 8:10:06 time: 0.3603 data_time: 0.0177 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6802 loss_db: 0.2760 loss: 3.8157 2022/08/25 23:26:16 - mmengine - INFO - Epoch(train) [112][35/63] lr: 6.4140e-03 eta: 8:10:06 time: 0.3801 data_time: 0.0249 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6986 loss_db: 0.2813 loss: 3.8393 2022/08/25 23:26:18 - mmengine - INFO - Epoch(train) [112][40/63] lr: 6.4140e-03 eta: 8:09:57 time: 0.3836 data_time: 0.0243 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7075 loss_db: 0.2674 loss: 3.8338 2022/08/25 23:26:21 - mmengine - INFO - Epoch(train) [112][45/63] lr: 6.4140e-03 eta: 8:09:57 time: 0.4984 data_time: 0.0728 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7250 loss_db: 0.2691 loss: 3.8515 2022/08/25 23:26:23 - mmengine - INFO - Epoch(train) [112][50/63] lr: 6.4140e-03 eta: 8:10:01 time: 0.5112 data_time: 0.0794 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6956 loss_db: 0.2683 loss: 3.8211 2022/08/25 23:26:25 - mmengine - INFO - Epoch(train) [112][55/63] lr: 6.4140e-03 eta: 8:10:01 time: 0.3920 data_time: 0.0229 memory: 6760 loss_prob: 2.8585 loss_thr: 0.7206 loss_db: 0.2652 loss: 3.8442 2022/08/25 23:26:26 - mmengine - INFO - Epoch(train) [112][60/63] lr: 6.4140e-03 eta: 8:09:51 time: 0.3709 data_time: 0.0166 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7290 loss_db: 0.2714 loss: 3.8583 2022/08/25 23:26:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:26:31 - mmengine - INFO - Epoch(train) [113][5/63] lr: 6.4087e-03 eta: 8:09:51 time: 0.5168 data_time: 0.1636 memory: 6760 loss_prob: 2.8559 loss_thr: 0.6975 loss_db: 0.2744 loss: 3.8278 2022/08/25 23:26:33 - mmengine - INFO - Epoch(train) [113][10/63] lr: 6.4087e-03 eta: 8:09:44 time: 0.5449 data_time: 0.1653 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7191 loss_db: 0.2836 loss: 3.8600 2022/08/25 23:26:35 - mmengine - INFO - Epoch(train) [113][15/63] lr: 6.4087e-03 eta: 8:09:44 time: 0.3715 data_time: 0.0179 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7042 loss_db: 0.2777 loss: 3.8391 2022/08/25 23:26:36 - mmengine - INFO - Epoch(train) [113][20/63] lr: 6.4087e-03 eta: 8:09:33 time: 0.3629 data_time: 0.0169 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7038 loss_db: 0.2790 loss: 3.8386 2022/08/25 23:26:40 - mmengine - INFO - Epoch(train) [113][25/63] lr: 6.4087e-03 eta: 8:09:33 time: 0.5632 data_time: 0.0249 memory: 6760 loss_prob: 2.8560 loss_thr: 0.7037 loss_db: 0.2768 loss: 3.8365 2022/08/25 23:26:43 - mmengine - INFO - Epoch(train) [113][30/63] lr: 6.4087e-03 eta: 8:09:47 time: 0.6104 data_time: 0.0298 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7059 loss_db: 0.2533 loss: 3.8165 2022/08/25 23:26:44 - mmengine - INFO - Epoch(train) [113][35/63] lr: 6.4087e-03 eta: 8:09:47 time: 0.3996 data_time: 0.0236 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6932 loss_db: 0.2482 loss: 3.8001 2022/08/25 23:26:46 - mmengine - INFO - Epoch(train) [113][40/63] lr: 6.4087e-03 eta: 8:09:36 time: 0.3612 data_time: 0.0180 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6902 loss_db: 0.2680 loss: 3.8169 2022/08/25 23:26:48 - mmengine - INFO - Epoch(train) [113][45/63] lr: 6.4087e-03 eta: 8:09:36 time: 0.3782 data_time: 0.0181 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7007 loss_db: 0.2563 loss: 3.8142 2022/08/25 23:26:50 - mmengine - INFO - Epoch(train) [113][50/63] lr: 6.4087e-03 eta: 8:09:29 time: 0.4032 data_time: 0.0481 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6905 loss_db: 0.2524 loss: 3.7999 2022/08/25 23:26:52 - mmengine - INFO - Epoch(train) [113][55/63] lr: 6.4087e-03 eta: 8:09:29 time: 0.4054 data_time: 0.0462 memory: 6760 loss_prob: 2.8589 loss_thr: 0.7052 loss_db: 0.2786 loss: 3.8427 2022/08/25 23:26:54 - mmengine - INFO - Epoch(train) [113][60/63] lr: 6.4087e-03 eta: 8:09:20 time: 0.3824 data_time: 0.0174 memory: 6760 loss_prob: 2.8610 loss_thr: 0.7333 loss_db: 0.2712 loss: 3.8656 2022/08/25 23:26:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:26:59 - mmengine - INFO - Epoch(train) [114][5/63] lr: 6.4034e-03 eta: 8:09:20 time: 0.6035 data_time: 0.1679 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6890 loss_db: 0.2725 loss: 3.8198 2022/08/25 23:27:01 - mmengine - INFO - Epoch(train) [114][10/63] lr: 6.4034e-03 eta: 8:09:15 time: 0.5562 data_time: 0.1797 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7208 loss_db: 0.2678 loss: 3.8474 2022/08/25 23:27:03 - mmengine - INFO - Epoch(train) [114][15/63] lr: 6.4034e-03 eta: 8:09:15 time: 0.3747 data_time: 0.0242 memory: 6760 loss_prob: 2.8605 loss_thr: 0.7460 loss_db: 0.2642 loss: 3.8706 2022/08/25 23:27:05 - mmengine - INFO - Epoch(train) [114][20/63] lr: 6.4034e-03 eta: 8:09:04 time: 0.3610 data_time: 0.0150 memory: 6760 loss_prob: 2.8591 loss_thr: 0.7220 loss_db: 0.3020 loss: 3.8831 2022/08/25 23:27:07 - mmengine - INFO - Epoch(train) [114][25/63] lr: 6.4034e-03 eta: 8:09:04 time: 0.3550 data_time: 0.0178 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7015 loss_db: 0.2916 loss: 3.8503 2022/08/25 23:27:10 - mmengine - INFO - Epoch(train) [114][30/63] lr: 6.4034e-03 eta: 8:09:11 time: 0.5418 data_time: 0.0177 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7035 loss_db: 0.2835 loss: 3.8451 2022/08/25 23:27:13 - mmengine - INFO - Epoch(train) [114][35/63] lr: 6.4034e-03 eta: 8:09:11 time: 0.5896 data_time: 0.0382 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7127 loss_db: 0.2937 loss: 3.8660 2022/08/25 23:27:14 - mmengine - INFO - Epoch(train) [114][40/63] lr: 6.4034e-03 eta: 8:09:04 time: 0.4055 data_time: 0.0362 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6949 loss_db: 0.2709 loss: 3.8233 2022/08/25 23:27:16 - mmengine - INFO - Epoch(train) [114][45/63] lr: 6.4034e-03 eta: 8:09:04 time: 0.3710 data_time: 0.0173 memory: 6760 loss_prob: 2.8539 loss_thr: 0.6755 loss_db: 0.2861 loss: 3.8155 2022/08/25 23:27:18 - mmengine - INFO - Epoch(train) [114][50/63] lr: 6.4034e-03 eta: 8:08:55 time: 0.3778 data_time: 0.0217 memory: 6760 loss_prob: 2.8531 loss_thr: 0.6736 loss_db: 0.2695 loss: 3.7963 2022/08/25 23:27:20 - mmengine - INFO - Epoch(train) [114][55/63] lr: 6.4034e-03 eta: 8:08:55 time: 0.4048 data_time: 0.0248 memory: 6760 loss_prob: 2.8534 loss_thr: 0.7045 loss_db: 0.2510 loss: 3.8089 2022/08/25 23:27:22 - mmengine - INFO - Epoch(train) [114][60/63] lr: 6.4034e-03 eta: 8:08:48 time: 0.4052 data_time: 0.0252 memory: 6760 loss_prob: 2.8543 loss_thr: 0.6998 loss_db: 0.2552 loss: 3.8093 2022/08/25 23:27:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:27:27 - mmengine - INFO - Epoch(train) [115][5/63] lr: 6.3981e-03 eta: 8:08:48 time: 0.5385 data_time: 0.1782 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7158 loss_db: 0.2765 loss: 3.8489 2022/08/25 23:27:29 - mmengine - INFO - Epoch(train) [115][10/63] lr: 6.3981e-03 eta: 8:08:47 time: 0.5968 data_time: 0.1794 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7189 loss_db: 0.2883 loss: 3.8650 2022/08/25 23:27:31 - mmengine - INFO - Epoch(train) [115][15/63] lr: 6.3981e-03 eta: 8:08:47 time: 0.4228 data_time: 0.0219 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7033 loss_db: 0.2698 loss: 3.8305 2022/08/25 23:27:33 - mmengine - INFO - Epoch(train) [115][20/63] lr: 6.3981e-03 eta: 8:08:37 time: 0.3754 data_time: 0.0235 memory: 6760 loss_prob: 2.8555 loss_thr: 0.6993 loss_db: 0.2797 loss: 3.8345 2022/08/25 23:27:35 - mmengine - INFO - Epoch(train) [115][25/63] lr: 6.3981e-03 eta: 8:08:37 time: 0.3697 data_time: 0.0228 memory: 6760 loss_prob: 2.8537 loss_thr: 0.6967 loss_db: 0.2808 loss: 3.8312 2022/08/25 23:27:37 - mmengine - INFO - Epoch(train) [115][30/63] lr: 6.3981e-03 eta: 8:08:27 time: 0.3657 data_time: 0.0210 memory: 6760 loss_prob: 2.8548 loss_thr: 0.7341 loss_db: 0.2816 loss: 3.8706 2022/08/25 23:27:39 - mmengine - INFO - Epoch(train) [115][35/63] lr: 6.3981e-03 eta: 8:08:27 time: 0.4473 data_time: 0.0319 memory: 6760 loss_prob: 2.8557 loss_thr: 0.7513 loss_db: 0.2958 loss: 3.9028 2022/08/25 23:27:41 - mmengine - INFO - Epoch(train) [115][40/63] lr: 6.3981e-03 eta: 8:08:25 time: 0.4539 data_time: 0.0259 memory: 6760 loss_prob: 2.8551 loss_thr: 0.7157 loss_db: 0.2693 loss: 3.8401 2022/08/25 23:27:43 - mmengine - INFO - Epoch(train) [115][45/63] lr: 6.3981e-03 eta: 8:08:25 time: 0.3842 data_time: 0.0172 memory: 6760 loss_prob: 2.8556 loss_thr: 0.6976 loss_db: 0.2540 loss: 3.8071 2022/08/25 23:27:45 - mmengine - INFO - Epoch(train) [115][50/63] lr: 6.3981e-03 eta: 8:08:17 time: 0.3844 data_time: 0.0243 memory: 6760 loss_prob: 2.8554 loss_thr: 0.7065 loss_db: 0.2654 loss: 3.8273 2022/08/25 23:27:47 - mmengine - INFO - Epoch(train) [115][55/63] lr: 6.3981e-03 eta: 8:08:17 time: 0.3771 data_time: 0.0203 memory: 6760 loss_prob: 2.8556 loss_thr: 0.7029 loss_db: 0.2714 loss: 3.8298 2022/08/25 23:27:50 - mmengine - INFO - Epoch(train) [115][60/63] lr: 6.3981e-03 eta: 8:08:16 time: 0.4707 data_time: 0.0234 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6732 loss_db: 0.2726 loss: 3.8028 2022/08/25 23:27:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:27:55 - mmengine - INFO - Epoch(train) [116][5/63] lr: 6.3927e-03 eta: 8:08:16 time: 0.6995 data_time: 0.1916 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6907 loss_db: 0.2689 loss: 3.8178 2022/08/25 23:27:57 - mmengine - INFO - Epoch(train) [116][10/63] lr: 6.3927e-03 eta: 8:08:11 time: 0.5598 data_time: 0.1930 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6809 loss_db: 0.2709 loss: 3.8081 2022/08/25 23:27:59 - mmengine - INFO - Epoch(train) [116][15/63] lr: 6.3927e-03 eta: 8:08:11 time: 0.4318 data_time: 0.0227 memory: 6760 loss_prob: 2.8544 loss_thr: 0.6905 loss_db: 0.2613 loss: 3.8062 2022/08/25 23:28:01 - mmengine - INFO - Epoch(train) [116][20/63] lr: 6.3927e-03 eta: 8:08:05 time: 0.4095 data_time: 0.0192 memory: 6760 loss_prob: 2.8550 loss_thr: 0.6794 loss_db: 0.2553 loss: 3.7896 2022/08/25 23:28:03 - mmengine - INFO - Epoch(train) [116][25/63] lr: 6.3927e-03 eta: 8:08:05 time: 0.3730 data_time: 0.0230 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6588 loss_db: 0.2449 loss: 3.7590 2022/08/25 23:28:05 - mmengine - INFO - Epoch(train) [116][30/63] lr: 6.3927e-03 eta: 8:07:56 time: 0.3746 data_time: 0.0159 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6844 loss_db: 0.2479 loss: 3.7893 2022/08/25 23:28:07 - mmengine - INFO - Epoch(train) [116][35/63] lr: 6.3927e-03 eta: 8:07:56 time: 0.3665 data_time: 0.0176 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6720 loss_db: 0.2620 loss: 3.7915 2022/08/25 23:28:09 - mmengine - INFO - Epoch(train) [116][40/63] lr: 6.3927e-03 eta: 8:07:51 time: 0.4226 data_time: 0.0476 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6494 loss_db: 0.2672 loss: 3.7741 2022/08/25 23:28:11 - mmengine - INFO - Epoch(train) [116][45/63] lr: 6.3927e-03 eta: 8:07:51 time: 0.4315 data_time: 0.0485 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6738 loss_db: 0.2672 loss: 3.8000 2022/08/25 23:28:14 - mmengine - INFO - Epoch(train) [116][50/63] lr: 6.3927e-03 eta: 8:07:49 time: 0.4586 data_time: 0.0234 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6864 loss_db: 0.2494 loss: 3.7957 2022/08/25 23:28:16 - mmengine - INFO - Epoch(train) [116][55/63] lr: 6.3927e-03 eta: 8:07:49 time: 0.4451 data_time: 0.0183 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6848 loss_db: 0.2590 loss: 3.8038 2022/08/25 23:28:17 - mmengine - INFO - Epoch(train) [116][60/63] lr: 6.3927e-03 eta: 8:07:40 time: 0.3752 data_time: 0.0175 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6900 loss_db: 0.2868 loss: 3.8354 2022/08/25 23:28:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:28:22 - mmengine - INFO - Epoch(train) [117][5/63] lr: 6.3874e-03 eta: 8:07:40 time: 0.5606 data_time: 0.1725 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7074 loss_db: 0.2815 loss: 3.8463 2022/08/25 23:28:24 - mmengine - INFO - Epoch(train) [117][10/63] lr: 6.3874e-03 eta: 8:07:34 time: 0.5538 data_time: 0.1731 memory: 6760 loss_prob: 2.8621 loss_thr: 0.7173 loss_db: 0.2693 loss: 3.8487 2022/08/25 23:28:26 - mmengine - INFO - Epoch(train) [117][15/63] lr: 6.3874e-03 eta: 8:07:34 time: 0.4027 data_time: 0.0232 memory: 6760 loss_prob: 2.8631 loss_thr: 0.7146 loss_db: 0.3124 loss: 3.8901 2022/08/25 23:28:28 - mmengine - INFO - Epoch(train) [117][20/63] lr: 6.3874e-03 eta: 8:07:24 time: 0.3661 data_time: 0.0131 memory: 6760 loss_prob: 2.8564 loss_thr: 0.6860 loss_db: 0.3047 loss: 3.8472 2022/08/25 23:28:30 - mmengine - INFO - Epoch(train) [117][25/63] lr: 6.3874e-03 eta: 8:07:24 time: 0.3810 data_time: 0.0276 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6997 loss_db: 0.2862 loss: 3.8411 2022/08/25 23:28:32 - mmengine - INFO - Epoch(train) [117][30/63] lr: 6.3874e-03 eta: 8:07:19 time: 0.4225 data_time: 0.0245 memory: 6760 loss_prob: 2.8550 loss_thr: 0.7441 loss_db: 0.2903 loss: 3.8895 2022/08/25 23:28:34 - mmengine - INFO - Epoch(train) [117][35/63] lr: 6.3874e-03 eta: 8:07:19 time: 0.4081 data_time: 0.0188 memory: 6760 loss_prob: 2.8547 loss_thr: 0.7286 loss_db: 0.2896 loss: 3.8729 2022/08/25 23:28:36 - mmengine - INFO - Epoch(train) [117][40/63] lr: 6.3874e-03 eta: 8:07:09 time: 0.3667 data_time: 0.0204 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7047 loss_db: 0.2775 loss: 3.8367 2022/08/25 23:28:38 - mmengine - INFO - Epoch(train) [117][45/63] lr: 6.3874e-03 eta: 8:07:09 time: 0.3740 data_time: 0.0179 memory: 6760 loss_prob: 2.8548 loss_thr: 0.7154 loss_db: 0.2742 loss: 3.8443 2022/08/25 23:28:41 - mmengine - INFO - Epoch(train) [117][50/63] lr: 6.3874e-03 eta: 8:07:12 time: 0.5082 data_time: 0.0560 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6984 loss_db: 0.2512 loss: 3.8063 2022/08/25 23:28:43 - mmengine - INFO - Epoch(train) [117][55/63] lr: 6.3874e-03 eta: 8:07:12 time: 0.5174 data_time: 0.0681 memory: 6760 loss_prob: 2.8559 loss_thr: 0.6966 loss_db: 0.2657 loss: 3.8183 2022/08/25 23:28:45 - mmengine - INFO - Epoch(train) [117][60/63] lr: 6.3874e-03 eta: 8:07:04 time: 0.3860 data_time: 0.0323 memory: 6760 loss_prob: 2.8546 loss_thr: 0.6823 loss_db: 0.2749 loss: 3.8118 2022/08/25 23:28:46 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:28:49 - mmengine - INFO - Epoch(train) [118][5/63] lr: 6.3821e-03 eta: 8:07:04 time: 0.4897 data_time: 0.1447 memory: 6760 loss_prob: 2.8558 loss_thr: 0.6545 loss_db: 0.2637 loss: 3.7739 2022/08/25 23:28:51 - mmengine - INFO - Epoch(train) [118][10/63] lr: 6.3821e-03 eta: 8:06:55 time: 0.5173 data_time: 0.1484 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6886 loss_db: 0.2670 loss: 3.8130 2022/08/25 23:28:53 - mmengine - INFO - Epoch(train) [118][15/63] lr: 6.3821e-03 eta: 8:06:55 time: 0.3776 data_time: 0.0169 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6967 loss_db: 0.2563 loss: 3.8129 2022/08/25 23:28:55 - mmengine - INFO - Epoch(train) [118][20/63] lr: 6.3821e-03 eta: 8:06:47 time: 0.3885 data_time: 0.0259 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6690 loss_db: 0.2507 loss: 3.7783 2022/08/25 23:28:57 - mmengine - INFO - Epoch(train) [118][25/63] lr: 6.3821e-03 eta: 8:06:47 time: 0.3844 data_time: 0.0243 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7069 loss_db: 0.2700 loss: 3.8350 2022/08/25 23:29:01 - mmengine - INFO - Epoch(train) [118][30/63] lr: 6.3821e-03 eta: 8:06:54 time: 0.5566 data_time: 0.0169 memory: 6760 loss_prob: 2.8569 loss_thr: 0.7316 loss_db: 0.2942 loss: 3.8826 2022/08/25 23:29:03 - mmengine - INFO - Epoch(train) [118][35/63] lr: 6.3821e-03 eta: 8:06:54 time: 0.5902 data_time: 0.0282 memory: 6760 loss_prob: 2.8577 loss_thr: 0.7042 loss_db: 0.2810 loss: 3.8429 2022/08/25 23:29:04 - mmengine - INFO - Epoch(train) [118][40/63] lr: 6.3821e-03 eta: 8:06:47 time: 0.3894 data_time: 0.0226 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6998 loss_db: 0.2735 loss: 3.8323 2022/08/25 23:29:06 - mmengine - INFO - Epoch(train) [118][45/63] lr: 6.3821e-03 eta: 8:06:47 time: 0.3785 data_time: 0.0210 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6984 loss_db: 0.2632 loss: 3.8182 2022/08/25 23:29:08 - mmengine - INFO - Epoch(train) [118][50/63] lr: 6.3821e-03 eta: 8:06:38 time: 0.3817 data_time: 0.0283 memory: 6760 loss_prob: 2.8562 loss_thr: 0.7074 loss_db: 0.2480 loss: 3.8116 2022/08/25 23:29:10 - mmengine - INFO - Epoch(train) [118][55/63] lr: 6.3821e-03 eta: 8:06:38 time: 0.3652 data_time: 0.0188 memory: 6760 loss_prob: 2.8562 loss_thr: 0.6821 loss_db: 0.2588 loss: 3.7971 2022/08/25 23:29:12 - mmengine - INFO - Epoch(train) [118][60/63] lr: 6.3821e-03 eta: 8:06:28 time: 0.3684 data_time: 0.0182 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7019 loss_db: 0.2811 loss: 3.8402 2022/08/25 23:29:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:29:16 - mmengine - INFO - Epoch(train) [119][5/63] lr: 6.3768e-03 eta: 8:06:28 time: 0.5125 data_time: 0.1497 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7314 loss_db: 0.2947 loss: 3.8853 2022/08/25 23:29:19 - mmengine - INFO - Epoch(train) [119][10/63] lr: 6.3768e-03 eta: 8:06:23 time: 0.5553 data_time: 0.1671 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7216 loss_db: 0.2738 loss: 3.8526 2022/08/25 23:29:20 - mmengine - INFO - Epoch(train) [119][15/63] lr: 6.3768e-03 eta: 8:06:23 time: 0.4133 data_time: 0.0353 memory: 6760 loss_prob: 2.8555 loss_thr: 0.7024 loss_db: 0.2827 loss: 3.8406 2022/08/25 23:29:22 - mmengine - INFO - Epoch(train) [119][20/63] lr: 6.3768e-03 eta: 8:06:14 time: 0.3768 data_time: 0.0261 memory: 6760 loss_prob: 2.8553 loss_thr: 0.7106 loss_db: 0.2864 loss: 3.8523 2022/08/25 23:29:24 - mmengine - INFO - Epoch(train) [119][25/63] lr: 6.3768e-03 eta: 8:06:14 time: 0.3676 data_time: 0.0256 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7283 loss_db: 0.2727 loss: 3.8582 2022/08/25 23:29:26 - mmengine - INFO - Epoch(train) [119][30/63] lr: 6.3768e-03 eta: 8:06:02 time: 0.3519 data_time: 0.0167 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7162 loss_db: 0.2740 loss: 3.8495 2022/08/25 23:29:28 - mmengine - INFO - Epoch(train) [119][35/63] lr: 6.3768e-03 eta: 8:06:02 time: 0.3618 data_time: 0.0158 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7071 loss_db: 0.2807 loss: 3.8478 2022/08/25 23:29:31 - mmengine - INFO - Epoch(train) [119][40/63] lr: 6.3768e-03 eta: 8:06:05 time: 0.5000 data_time: 0.0277 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6779 loss_db: 0.2624 loss: 3.7988 2022/08/25 23:29:33 - mmengine - INFO - Epoch(train) [119][45/63] lr: 6.3768e-03 eta: 8:06:05 time: 0.5008 data_time: 0.0271 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6733 loss_db: 0.2484 loss: 3.7790 2022/08/25 23:29:35 - mmengine - INFO - Epoch(train) [119][50/63] lr: 6.3768e-03 eta: 8:05:56 time: 0.3825 data_time: 0.0224 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6948 loss_db: 0.2532 loss: 3.8055 2022/08/25 23:29:36 - mmengine - INFO - Epoch(train) [119][55/63] lr: 6.3768e-03 eta: 8:05:56 time: 0.3707 data_time: 0.0182 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6884 loss_db: 0.2565 loss: 3.8029 2022/08/25 23:29:38 - mmengine - INFO - Epoch(train) [119][60/63] lr: 6.3768e-03 eta: 8:05:47 time: 0.3690 data_time: 0.0154 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6819 loss_db: 0.2542 loss: 3.7947 2022/08/25 23:29:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:29:43 - mmengine - INFO - Epoch(train) [120][5/63] lr: 6.3715e-03 eta: 8:05:47 time: 0.5341 data_time: 0.1770 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6801 loss_db: 0.2565 loss: 3.7977 2022/08/25 23:29:45 - mmengine - INFO - Epoch(train) [120][10/63] lr: 6.3715e-03 eta: 8:05:38 time: 0.5271 data_time: 0.1689 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6928 loss_db: 0.2676 loss: 3.8217 2022/08/25 23:29:47 - mmengine - INFO - Epoch(train) [120][15/63] lr: 6.3715e-03 eta: 8:05:38 time: 0.3811 data_time: 0.0259 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7198 loss_db: 0.2647 loss: 3.8442 2022/08/25 23:29:49 - mmengine - INFO - Epoch(train) [120][20/63] lr: 6.3715e-03 eta: 8:05:30 time: 0.3853 data_time: 0.0141 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7123 loss_db: 0.2620 loss: 3.8331 2022/08/25 23:29:51 - mmengine - INFO - Epoch(train) [120][25/63] lr: 6.3715e-03 eta: 8:05:30 time: 0.3969 data_time: 0.0240 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6906 loss_db: 0.2565 loss: 3.8062 2022/08/25 23:29:53 - mmengine - INFO - Epoch(train) [120][30/63] lr: 6.3715e-03 eta: 8:05:21 time: 0.3741 data_time: 0.0250 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6714 loss_db: 0.2419 loss: 3.7751 2022/08/25 23:29:54 - mmengine - INFO - Epoch(train) [120][35/63] lr: 6.3715e-03 eta: 8:05:21 time: 0.3592 data_time: 0.0210 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6496 loss_db: 0.2342 loss: 3.7464 2022/08/25 23:29:56 - mmengine - INFO - Epoch(train) [120][40/63] lr: 6.3715e-03 eta: 8:05:11 time: 0.3683 data_time: 0.0199 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6762 loss_db: 0.2601 loss: 3.7965 2022/08/25 23:29:58 - mmengine - INFO - Epoch(train) [120][45/63] lr: 6.3715e-03 eta: 8:05:11 time: 0.3717 data_time: 0.0169 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7145 loss_db: 0.2669 loss: 3.8392 2022/08/25 23:30:01 - mmengine - INFO - Epoch(train) [120][50/63] lr: 6.3715e-03 eta: 8:05:08 time: 0.4400 data_time: 0.0405 memory: 6760 loss_prob: 2.8583 loss_thr: 0.7084 loss_db: 0.2550 loss: 3.8217 2022/08/25 23:30:03 - mmengine - INFO - Epoch(train) [120][55/63] lr: 6.3715e-03 eta: 8:05:08 time: 0.4507 data_time: 0.0468 memory: 6760 loss_prob: 2.8605 loss_thr: 0.7077 loss_db: 0.2760 loss: 3.8442 2022/08/25 23:30:04 - mmengine - INFO - Epoch(train) [120][60/63] lr: 6.3715e-03 eta: 8:05:00 time: 0.3806 data_time: 0.0245 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6703 loss_db: 0.2766 loss: 3.8073 2022/08/25 23:30:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:30:06 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/25 23:30:11 - mmengine - INFO - Epoch(val) [120][5/500] eta: 8:05:00 time: 0.3541 data_time: 0.0178 memory: 6760 2022/08/25 23:30:13 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:03:28 time: 0.4261 data_time: 0.0182 memory: 425 2022/08/25 23:30:14 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:03:28 time: 0.3240 data_time: 0.0024 memory: 425 2022/08/25 23:30:16 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:02:23 time: 0.2997 data_time: 0.0023 memory: 425 2022/08/25 23:30:17 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:02:23 time: 0.3290 data_time: 0.0022 memory: 425 2022/08/25 23:30:21 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:03:40 time: 0.4693 data_time: 0.0090 memory: 425 2022/08/25 23:30:23 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:03:40 time: 0.5260 data_time: 0.0355 memory: 425 2022/08/25 23:30:25 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:03:12 time: 0.4185 data_time: 0.0291 memory: 425 2022/08/25 23:30:26 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:03:12 time: 0.3675 data_time: 0.0025 memory: 425 2022/08/25 23:30:28 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:02:43 time: 0.3629 data_time: 0.0020 memory: 425 2022/08/25 23:30:30 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:02:43 time: 0.4075 data_time: 0.0025 memory: 425 2022/08/25 23:30:32 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:02:42 time: 0.3703 data_time: 0.0025 memory: 425 2022/08/25 23:30:33 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:02:42 time: 0.3086 data_time: 0.0019 memory: 425 2022/08/25 23:30:35 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:02:21 time: 0.3286 data_time: 0.0020 memory: 425 2022/08/25 23:30:37 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:02:21 time: 0.3112 data_time: 0.0021 memory: 425 2022/08/25 23:30:38 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:02:10 time: 0.3117 data_time: 0.0020 memory: 425 2022/08/25 23:30:41 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:02:10 time: 0.4765 data_time: 0.0165 memory: 425 2022/08/25 23:30:44 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:03:37 time: 0.5305 data_time: 0.0201 memory: 425 2022/08/25 23:30:45 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:03:37 time: 0.3863 data_time: 0.0058 memory: 425 2022/08/25 23:30:47 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:02:14 time: 0.3352 data_time: 0.0021 memory: 425 2022/08/25 23:30:49 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:02:14 time: 0.3518 data_time: 0.0019 memory: 425 2022/08/25 23:30:51 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:02:18 time: 0.3562 data_time: 0.0029 memory: 425 2022/08/25 23:30:52 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:02:18 time: 0.3425 data_time: 0.0030 memory: 425 2022/08/25 23:30:54 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:02:01 time: 0.3199 data_time: 0.0020 memory: 425 2022/08/25 23:30:56 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:02:01 time: 0.3333 data_time: 0.0020 memory: 425 2022/08/25 23:30:57 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:01:56 time: 0.3152 data_time: 0.0019 memory: 425 2022/08/25 23:30:59 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:01:56 time: 0.3006 data_time: 0.0023 memory: 425 2022/08/25 23:31:02 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:03:10 time: 0.5278 data_time: 0.0067 memory: 425 2022/08/25 23:31:04 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:03:10 time: 0.5557 data_time: 0.0087 memory: 425 2022/08/25 23:31:06 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:02:08 time: 0.3674 data_time: 0.0044 memory: 425 2022/08/25 23:31:08 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:02:08 time: 0.3868 data_time: 0.0020 memory: 425 2022/08/25 23:31:10 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:02:09 time: 0.3806 data_time: 0.0028 memory: 425 2022/08/25 23:31:11 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:02:09 time: 0.3343 data_time: 0.0030 memory: 425 2022/08/25 23:31:13 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:02:06 time: 0.3836 data_time: 0.0021 memory: 425 2022/08/25 23:31:15 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:02:06 time: 0.3752 data_time: 0.0019 memory: 425 2022/08/25 23:31:17 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:01:45 time: 0.3304 data_time: 0.0028 memory: 425 2022/08/25 23:31:19 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:01:45 time: 0.4190 data_time: 0.0052 memory: 425 2022/08/25 23:31:22 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:02:38 time: 0.5127 data_time: 0.0246 memory: 425 2022/08/25 23:31:24 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:02:38 time: 0.4287 data_time: 0.0229 memory: 425 2022/08/25 23:31:25 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:01:40 time: 0.3345 data_time: 0.0025 memory: 425 2022/08/25 23:31:27 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:01:40 time: 0.3274 data_time: 0.0021 memory: 425 2022/08/25 23:31:28 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:01:24 time: 0.2915 data_time: 0.0021 memory: 425 2022/08/25 23:31:30 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:01:24 time: 0.3425 data_time: 0.0067 memory: 425 2022/08/25 23:31:32 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:01:52 time: 0.4019 data_time: 0.0067 memory: 425 2022/08/25 23:31:34 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:01:52 time: 0.3684 data_time: 0.0020 memory: 425 2022/08/25 23:31:35 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:01:27 time: 0.3253 data_time: 0.0019 memory: 425 2022/08/25 23:31:37 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:01:27 time: 0.3349 data_time: 0.0020 memory: 425 2022/08/25 23:31:41 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:02:13 time: 0.5129 data_time: 0.0592 memory: 425 2022/08/25 23:31:42 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:02:13 time: 0.4807 data_time: 0.0627 memory: 425 2022/08/25 23:31:44 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:01:24 time: 0.3389 data_time: 0.0055 memory: 425 2022/08/25 23:31:45 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:01:24 time: 0.3369 data_time: 0.0020 memory: 425 2022/08/25 23:31:47 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:01:11 time: 0.2959 data_time: 0.0020 memory: 425 2022/08/25 23:31:48 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:01:11 time: 0.2690 data_time: 0.0020 memory: 425 2022/08/25 23:31:50 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:01:21 time: 0.3542 data_time: 0.0045 memory: 425 2022/08/25 23:31:52 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:01:21 time: 0.3969 data_time: 0.0046 memory: 425 2022/08/25 23:31:54 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:01:23 time: 0.3779 data_time: 0.0020 memory: 425 2022/08/25 23:31:56 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:01:23 time: 0.3757 data_time: 0.0027 memory: 425 2022/08/25 23:31:58 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:01:08 time: 0.3260 data_time: 0.0026 memory: 425 2022/08/25 23:32:01 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:01:08 time: 0.4895 data_time: 0.0123 memory: 425 2022/08/25 23:32:02 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:01:38 time: 0.4911 data_time: 0.0145 memory: 425 2022/08/25 23:32:04 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:01:38 time: 0.3232 data_time: 0.0041 memory: 425 2022/08/25 23:32:06 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:01:06 time: 0.3486 data_time: 0.0019 memory: 425 2022/08/25 23:32:08 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:01:06 time: 0.3888 data_time: 0.0019 memory: 425 2022/08/25 23:32:10 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:01:10 time: 0.3916 data_time: 0.0042 memory: 425 2022/08/25 23:32:12 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:01:10 time: 0.4172 data_time: 0.0044 memory: 425 2022/08/25 23:32:14 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:01:08 time: 0.4006 data_time: 0.0021 memory: 425 2022/08/25 23:32:16 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:01:08 time: 0.3554 data_time: 0.0019 memory: 425 2022/08/25 23:32:18 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:58 time: 0.3687 data_time: 0.0020 memory: 425 2022/08/25 23:32:21 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:58 time: 0.4958 data_time: 0.0283 memory: 425 2022/08/25 23:32:23 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:01:26 time: 0.5782 data_time: 0.0305 memory: 425 2022/08/25 23:32:25 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:01:26 time: 0.4406 data_time: 0.0042 memory: 425 2022/08/25 23:32:27 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:44 time: 0.3207 data_time: 0.0020 memory: 425 2022/08/25 23:32:28 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:44 time: 0.3377 data_time: 0.0019 memory: 425 2022/08/25 23:32:30 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:43 time: 0.3347 data_time: 0.0036 memory: 425 2022/08/25 23:32:32 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:43 time: 0.3175 data_time: 0.0036 memory: 425 2022/08/25 23:32:33 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:42 time: 0.3522 data_time: 0.0020 memory: 425 2022/08/25 23:32:35 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:42 time: 0.3451 data_time: 0.0020 memory: 425 2022/08/25 23:32:37 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:39 time: 0.3570 data_time: 0.0022 memory: 425 2022/08/25 23:32:38 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:39 time: 0.3447 data_time: 0.0026 memory: 425 2022/08/25 23:32:41 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:41 time: 0.4192 data_time: 0.0371 memory: 425 2022/08/25 23:32:43 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:41 time: 0.4366 data_time: 0.0373 memory: 425 2022/08/25 23:32:45 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:31 time: 0.3495 data_time: 0.0027 memory: 425 2022/08/25 23:32:46 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:31 time: 0.3163 data_time: 0.0022 memory: 425 2022/08/25 23:32:47 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:22 time: 0.2792 data_time: 0.0019 memory: 425 2022/08/25 23:32:50 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:22 time: 0.4359 data_time: 0.0072 memory: 425 2022/08/25 23:32:52 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:34 time: 0.4982 data_time: 0.0151 memory: 425 2022/08/25 23:32:54 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:34 time: 0.3749 data_time: 0.0099 memory: 425 2022/08/25 23:32:56 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:19 time: 0.3173 data_time: 0.0019 memory: 425 2022/08/25 23:32:58 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:19 time: 0.3675 data_time: 0.0019 memory: 425 2022/08/25 23:33:00 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:21 time: 0.4288 data_time: 0.0043 memory: 425 2022/08/25 23:33:02 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:21 time: 0.3867 data_time: 0.0045 memory: 425 2022/08/25 23:33:03 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:12 time: 0.3194 data_time: 0.0022 memory: 425 2022/08/25 23:33:05 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:12 time: 0.2922 data_time: 0.0019 memory: 425 2022/08/25 23:33:06 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:09 time: 0.3306 data_time: 0.0020 memory: 425 2022/08/25 23:33:08 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:09 time: 0.3353 data_time: 0.0020 memory: 425 2022/08/25 23:33:11 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:10 time: 0.5011 data_time: 0.0315 memory: 425 2022/08/25 23:33:13 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:10 time: 0.5070 data_time: 0.0333 memory: 425 2022/08/25 23:33:15 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:03 time: 0.3260 data_time: 0.0039 memory: 425 2022/08/25 23:33:16 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:03 time: 0.3384 data_time: 0.0020 memory: 425 2022/08/25 23:33:18 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.3196 data_time: 0.0020 memory: 425 2022/08/25 23:33:18 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:33:18 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0010, precision: 0.0000, hmean: 0.0000 2022/08/25 23:33:18 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:33:18 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:33:18 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:33:18 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:33:18 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:33:18 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:33:18 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.0000 icdar/recall: 0.0010 icdar/hmean: 0.0000 2022/08/25 23:33:22 - mmengine - INFO - Epoch(train) [121][5/63] lr: 6.3662e-03 eta: 0:00:00 time: 0.6131 data_time: 0.1960 memory: 6760 loss_prob: 2.8619 loss_thr: 0.7200 loss_db: 0.2936 loss: 3.8755 2022/08/25 23:33:24 - mmengine - INFO - Epoch(train) [121][10/63] lr: 6.3662e-03 eta: 8:05:01 time: 0.6278 data_time: 0.2072 memory: 6760 loss_prob: 2.8600 loss_thr: 0.7089 loss_db: 0.3087 loss: 3.8776 2022/08/25 23:33:26 - mmengine - INFO - Epoch(train) [121][15/63] lr: 6.3662e-03 eta: 8:05:01 time: 0.3784 data_time: 0.0229 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6992 loss_db: 0.2752 loss: 3.8336 2022/08/25 23:33:28 - mmengine - INFO - Epoch(train) [121][20/63] lr: 6.3662e-03 eta: 8:04:50 time: 0.3605 data_time: 0.0123 memory: 6760 loss_prob: 2.8617 loss_thr: 0.7131 loss_db: 0.2524 loss: 3.8272 2022/08/25 23:33:30 - mmengine - INFO - Epoch(train) [121][25/63] lr: 6.3662e-03 eta: 8:04:50 time: 0.3736 data_time: 0.0237 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6915 loss_db: 0.2686 loss: 3.8200 2022/08/25 23:33:32 - mmengine - INFO - Epoch(train) [121][30/63] lr: 6.3662e-03 eta: 8:04:42 time: 0.3791 data_time: 0.0259 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6910 loss_db: 0.2702 loss: 3.8189 2022/08/25 23:33:34 - mmengine - INFO - Epoch(train) [121][35/63] lr: 6.3662e-03 eta: 8:04:42 time: 0.4332 data_time: 0.0212 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7129 loss_db: 0.2591 loss: 3.8291 2022/08/25 23:33:36 - mmengine - INFO - Epoch(train) [121][40/63] lr: 6.3662e-03 eta: 8:04:37 time: 0.4239 data_time: 0.0187 memory: 6760 loss_prob: 2.8555 loss_thr: 0.6945 loss_db: 0.2685 loss: 3.8185 2022/08/25 23:33:38 - mmengine - INFO - Epoch(train) [121][45/63] lr: 6.3662e-03 eta: 8:04:37 time: 0.3554 data_time: 0.0185 memory: 6760 loss_prob: 2.8552 loss_thr: 0.6548 loss_db: 0.2611 loss: 3.7711 2022/08/25 23:33:40 - mmengine - INFO - Epoch(train) [121][50/63] lr: 6.3662e-03 eta: 8:04:28 time: 0.3769 data_time: 0.0222 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6619 loss_db: 0.2378 loss: 3.7567 2022/08/25 23:33:42 - mmengine - INFO - Epoch(train) [121][55/63] lr: 6.3662e-03 eta: 8:04:28 time: 0.3769 data_time: 0.0193 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6863 loss_db: 0.2468 loss: 3.7908 2022/08/25 23:33:43 - mmengine - INFO - Epoch(train) [121][60/63] lr: 6.3662e-03 eta: 8:04:19 time: 0.3710 data_time: 0.0205 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7023 loss_db: 0.2601 loss: 3.8203 2022/08/25 23:33:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:33:48 - mmengine - INFO - Epoch(train) [122][5/63] lr: 6.3609e-03 eta: 8:04:19 time: 0.5115 data_time: 0.1544 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6667 loss_db: 0.2391 loss: 3.7642 2022/08/25 23:33:50 - mmengine - INFO - Epoch(train) [122][10/63] lr: 6.3609e-03 eta: 8:04:16 time: 0.5844 data_time: 0.1949 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6436 loss_db: 0.2412 loss: 3.7458 2022/08/25 23:33:52 - mmengine - INFO - Epoch(train) [122][15/63] lr: 6.3609e-03 eta: 8:04:16 time: 0.4367 data_time: 0.0556 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6483 loss_db: 0.2523 loss: 3.7611 2022/08/25 23:33:54 - mmengine - INFO - Epoch(train) [122][20/63] lr: 6.3609e-03 eta: 8:04:07 time: 0.3770 data_time: 0.0223 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6457 loss_db: 0.2409 loss: 3.7461 2022/08/25 23:33:56 - mmengine - INFO - Epoch(train) [122][25/63] lr: 6.3609e-03 eta: 8:04:07 time: 0.3837 data_time: 0.0263 memory: 6760 loss_prob: 2.8607 loss_thr: 0.7066 loss_db: 0.2364 loss: 3.8036 2022/08/25 23:33:58 - mmengine - INFO - Epoch(train) [122][30/63] lr: 6.3609e-03 eta: 8:03:59 time: 0.3836 data_time: 0.0180 memory: 6760 loss_prob: 2.8616 loss_thr: 0.7299 loss_db: 0.2539 loss: 3.8455 2022/08/25 23:34:01 - mmengine - INFO - Epoch(train) [122][35/63] lr: 6.3609e-03 eta: 8:03:59 time: 0.4464 data_time: 0.0170 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6827 loss_db: 0.2794 loss: 3.8234 2022/08/25 23:34:02 - mmengine - INFO - Epoch(train) [122][40/63] lr: 6.3609e-03 eta: 8:03:56 time: 0.4446 data_time: 0.0225 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6579 loss_db: 0.2649 loss: 3.7837 2022/08/25 23:34:04 - mmengine - INFO - Epoch(train) [122][45/63] lr: 6.3609e-03 eta: 8:03:56 time: 0.3807 data_time: 0.0254 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6811 loss_db: 0.2513 loss: 3.7945 2022/08/25 23:34:06 - mmengine - INFO - Epoch(train) [122][50/63] lr: 6.3609e-03 eta: 8:03:47 time: 0.3731 data_time: 0.0252 memory: 6760 loss_prob: 2.8616 loss_thr: 0.7137 loss_db: 0.2660 loss: 3.8413 2022/08/25 23:34:08 - mmengine - INFO - Epoch(train) [122][55/63] lr: 6.3609e-03 eta: 8:03:47 time: 0.3721 data_time: 0.0183 memory: 6760 loss_prob: 2.8597 loss_thr: 0.7040 loss_db: 0.2740 loss: 3.8377 2022/08/25 23:34:11 - mmengine - INFO - Epoch(train) [122][60/63] lr: 6.3609e-03 eta: 8:03:47 time: 0.4790 data_time: 0.0176 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6930 loss_db: 0.2773 loss: 3.8286 2022/08/25 23:34:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:34:15 - mmengine - INFO - Epoch(train) [123][5/63] lr: 6.3556e-03 eta: 8:03:47 time: 0.5372 data_time: 0.1709 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6753 loss_db: 0.2826 loss: 3.8146 2022/08/25 23:34:17 - mmengine - INFO - Epoch(train) [123][10/63] lr: 6.3556e-03 eta: 8:03:40 time: 0.5305 data_time: 0.1724 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6639 loss_db: 0.2684 loss: 3.7895 2022/08/25 23:34:19 - mmengine - INFO - Epoch(train) [123][15/63] lr: 6.3556e-03 eta: 8:03:40 time: 0.4029 data_time: 0.0208 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6660 loss_db: 0.2653 loss: 3.7882 2022/08/25 23:34:21 - mmengine - INFO - Epoch(train) [123][20/63] lr: 6.3556e-03 eta: 8:03:35 time: 0.4202 data_time: 0.0261 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6774 loss_db: 0.2635 loss: 3.7984 2022/08/25 23:34:23 - mmengine - INFO - Epoch(train) [123][25/63] lr: 6.3556e-03 eta: 8:03:35 time: 0.3873 data_time: 0.0213 memory: 6760 loss_prob: 2.8594 loss_thr: 0.7050 loss_db: 0.2657 loss: 3.8301 2022/08/25 23:34:25 - mmengine - INFO - Epoch(train) [123][30/63] lr: 6.3556e-03 eta: 8:03:26 time: 0.3726 data_time: 0.0152 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6960 loss_db: 0.2471 loss: 3.8018 2022/08/25 23:34:27 - mmengine - INFO - Epoch(train) [123][35/63] lr: 6.3556e-03 eta: 8:03:26 time: 0.3850 data_time: 0.0236 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6813 loss_db: 0.2429 loss: 3.7820 2022/08/25 23:34:30 - mmengine - INFO - Epoch(train) [123][40/63] lr: 6.3556e-03 eta: 8:03:29 time: 0.5149 data_time: 0.0229 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7067 loss_db: 0.2662 loss: 3.8311 2022/08/25 23:34:32 - mmengine - INFO - Epoch(train) [123][45/63] lr: 6.3556e-03 eta: 8:03:29 time: 0.5256 data_time: 0.0271 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6919 loss_db: 0.2681 loss: 3.8182 2022/08/25 23:34:34 - mmengine - INFO - Epoch(train) [123][50/63] lr: 6.3556e-03 eta: 8:03:21 time: 0.3863 data_time: 0.0236 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6859 loss_db: 0.2718 loss: 3.8163 2022/08/25 23:34:36 - mmengine - INFO - Epoch(train) [123][55/63] lr: 6.3556e-03 eta: 8:03:21 time: 0.3641 data_time: 0.0163 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6910 loss_db: 0.2627 loss: 3.8136 2022/08/25 23:34:38 - mmengine - INFO - Epoch(train) [123][60/63] lr: 6.3556e-03 eta: 8:03:12 time: 0.3757 data_time: 0.0218 memory: 6760 loss_prob: 2.8592 loss_thr: 0.7127 loss_db: 0.2532 loss: 3.8250 2022/08/25 23:34:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:34:43 - mmengine - INFO - Epoch(train) [124][5/63] lr: 6.3503e-03 eta: 8:03:12 time: 0.5694 data_time: 0.1701 memory: 6760 loss_prob: 2.8586 loss_thr: 0.7005 loss_db: 0.2950 loss: 3.8541 2022/08/25 23:34:45 - mmengine - INFO - Epoch(train) [124][10/63] lr: 6.3503e-03 eta: 8:03:06 time: 0.5400 data_time: 0.1680 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6951 loss_db: 0.3135 loss: 3.8676 2022/08/25 23:34:47 - mmengine - INFO - Epoch(train) [124][15/63] lr: 6.3503e-03 eta: 8:03:06 time: 0.3826 data_time: 0.0187 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6986 loss_db: 0.3061 loss: 3.8610 2022/08/25 23:34:49 - mmengine - INFO - Epoch(train) [124][20/63] lr: 6.3503e-03 eta: 8:02:56 time: 0.3638 data_time: 0.0170 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7060 loss_db: 0.2984 loss: 3.8616 2022/08/25 23:34:51 - mmengine - INFO - Epoch(train) [124][25/63] lr: 6.3503e-03 eta: 8:02:56 time: 0.3762 data_time: 0.0244 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6909 loss_db: 0.2732 loss: 3.8235 2022/08/25 23:34:52 - mmengine - INFO - Epoch(train) [124][30/63] lr: 6.3503e-03 eta: 8:02:48 time: 0.3828 data_time: 0.0268 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6809 loss_db: 0.2621 loss: 3.8020 2022/08/25 23:34:54 - mmengine - INFO - Epoch(train) [124][35/63] lr: 6.3503e-03 eta: 8:02:48 time: 0.3663 data_time: 0.0180 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6894 loss_db: 0.2717 loss: 3.8196 2022/08/25 23:34:56 - mmengine - INFO - Epoch(train) [124][40/63] lr: 6.3503e-03 eta: 8:02:38 time: 0.3640 data_time: 0.0159 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6982 loss_db: 0.2828 loss: 3.8381 2022/08/25 23:34:58 - mmengine - INFO - Epoch(train) [124][45/63] lr: 6.3503e-03 eta: 8:02:38 time: 0.3746 data_time: 0.0225 memory: 6760 loss_prob: 2.8564 loss_thr: 0.6943 loss_db: 0.2668 loss: 3.8175 2022/08/25 23:35:02 - mmengine - INFO - Epoch(train) [124][50/63] lr: 6.3503e-03 eta: 8:02:48 time: 0.5914 data_time: 0.0352 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6946 loss_db: 0.2635 loss: 3.8143 2022/08/25 23:35:04 - mmengine - INFO - Epoch(train) [124][55/63] lr: 6.3503e-03 eta: 8:02:48 time: 0.5994 data_time: 0.0381 memory: 6760 loss_prob: 2.8564 loss_thr: 0.7011 loss_db: 0.2701 loss: 3.8276 2022/08/25 23:35:06 - mmengine - INFO - Epoch(train) [124][60/63] lr: 6.3503e-03 eta: 8:02:40 time: 0.3809 data_time: 0.0222 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6886 loss_db: 0.2630 loss: 3.8087 2022/08/25 23:35:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:35:10 - mmengine - INFO - Epoch(train) [125][5/63] lr: 6.3450e-03 eta: 8:02:40 time: 0.4879 data_time: 0.1413 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7271 loss_db: 0.2643 loss: 3.8483 2022/08/25 23:35:12 - mmengine - INFO - Epoch(train) [125][10/63] lr: 6.3450e-03 eta: 8:02:30 time: 0.5122 data_time: 0.1506 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7068 loss_db: 0.2501 loss: 3.8140 2022/08/25 23:35:14 - mmengine - INFO - Epoch(train) [125][15/63] lr: 6.3450e-03 eta: 8:02:30 time: 0.3771 data_time: 0.0203 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6890 loss_db: 0.2783 loss: 3.8267 2022/08/25 23:35:16 - mmengine - INFO - Epoch(train) [125][20/63] lr: 6.3450e-03 eta: 8:02:21 time: 0.3658 data_time: 0.0195 memory: 6760 loss_prob: 2.8631 loss_thr: 0.7226 loss_db: 0.3146 loss: 3.9003 2022/08/25 23:35:17 - mmengine - INFO - Epoch(train) [125][25/63] lr: 6.3450e-03 eta: 8:02:21 time: 0.3727 data_time: 0.0267 memory: 6760 loss_prob: 2.8608 loss_thr: 0.7163 loss_db: 0.2925 loss: 3.8697 2022/08/25 23:35:21 - mmengine - INFO - Epoch(train) [125][30/63] lr: 6.3450e-03 eta: 8:02:30 time: 0.5789 data_time: 0.0178 memory: 6760 loss_prob: 2.8563 loss_thr: 0.7042 loss_db: 0.2642 loss: 3.8247 2022/08/25 23:35:23 - mmengine - INFO - Epoch(train) [125][35/63] lr: 6.3450e-03 eta: 8:02:30 time: 0.5958 data_time: 0.0280 memory: 6760 loss_prob: 2.8567 loss_thr: 0.7026 loss_db: 0.2627 loss: 3.8219 2022/08/25 23:35:25 - mmengine - INFO - Epoch(train) [125][40/63] lr: 6.3450e-03 eta: 8:02:23 time: 0.3977 data_time: 0.0286 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6639 loss_db: 0.2464 loss: 3.7683 2022/08/25 23:35:27 - mmengine - INFO - Epoch(train) [125][45/63] lr: 6.3450e-03 eta: 8:02:23 time: 0.3913 data_time: 0.0213 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6610 loss_db: 0.2494 loss: 3.7684 2022/08/25 23:35:29 - mmengine - INFO - Epoch(train) [125][50/63] lr: 6.3450e-03 eta: 8:02:14 time: 0.3805 data_time: 0.0254 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6589 loss_db: 0.2507 loss: 3.7668 2022/08/25 23:35:31 - mmengine - INFO - Epoch(train) [125][55/63] lr: 6.3450e-03 eta: 8:02:14 time: 0.3712 data_time: 0.0208 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6652 loss_db: 0.2578 loss: 3.7810 2022/08/25 23:35:33 - mmengine - INFO - Epoch(train) [125][60/63] lr: 6.3450e-03 eta: 8:02:05 time: 0.3664 data_time: 0.0191 memory: 6760 loss_prob: 2.8608 loss_thr: 0.7045 loss_db: 0.2704 loss: 3.8357 2022/08/25 23:35:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:35:37 - mmengine - INFO - Epoch(train) [126][5/63] lr: 6.3396e-03 eta: 8:02:05 time: 0.4987 data_time: 0.1568 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6822 loss_db: 0.2693 loss: 3.8116 2022/08/25 23:35:39 - mmengine - INFO - Epoch(train) [126][10/63] lr: 6.3396e-03 eta: 8:01:58 time: 0.5358 data_time: 0.1665 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6651 loss_db: 0.2541 loss: 3.7786 2022/08/25 23:35:41 - mmengine - INFO - Epoch(train) [126][15/63] lr: 6.3396e-03 eta: 8:01:58 time: 0.4318 data_time: 0.0316 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6579 loss_db: 0.2300 loss: 3.7455 2022/08/25 23:35:43 - mmengine - INFO - Epoch(train) [126][20/63] lr: 6.3396e-03 eta: 8:01:53 time: 0.4174 data_time: 0.0272 memory: 6760 loss_prob: 2.8558 loss_thr: 0.6615 loss_db: 0.2307 loss: 3.7480 2022/08/25 23:35:45 - mmengine - INFO - Epoch(train) [126][25/63] lr: 6.3396e-03 eta: 8:01:53 time: 0.3819 data_time: 0.0240 memory: 6760 loss_prob: 2.8582 loss_thr: 0.7252 loss_db: 0.2855 loss: 3.8688 2022/08/25 23:35:47 - mmengine - INFO - Epoch(train) [126][30/63] lr: 6.3396e-03 eta: 8:01:43 time: 0.3706 data_time: 0.0175 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7188 loss_db: 0.2917 loss: 3.8693 2022/08/25 23:35:49 - mmengine - INFO - Epoch(train) [126][35/63] lr: 6.3396e-03 eta: 8:01:43 time: 0.3614 data_time: 0.0176 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6799 loss_db: 0.2532 loss: 3.7919 2022/08/25 23:35:51 - mmengine - INFO - Epoch(train) [126][40/63] lr: 6.3396e-03 eta: 8:01:41 time: 0.4443 data_time: 0.0272 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6773 loss_db: 0.2515 loss: 3.7882 2022/08/25 23:35:53 - mmengine - INFO - Epoch(train) [126][45/63] lr: 6.3396e-03 eta: 8:01:41 time: 0.4402 data_time: 0.0251 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6686 loss_db: 0.2463 loss: 3.7737 2022/08/25 23:35:55 - mmengine - INFO - Epoch(train) [126][50/63] lr: 6.3396e-03 eta: 8:01:31 time: 0.3690 data_time: 0.0241 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6748 loss_db: 0.2460 loss: 3.7795 2022/08/25 23:35:57 - mmengine - INFO - Epoch(train) [126][55/63] lr: 6.3396e-03 eta: 8:01:31 time: 0.3648 data_time: 0.0183 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6895 loss_db: 0.2672 loss: 3.8154 2022/08/25 23:35:59 - mmengine - INFO - Epoch(train) [126][60/63] lr: 6.3396e-03 eta: 8:01:22 time: 0.3671 data_time: 0.0149 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7002 loss_db: 0.2795 loss: 3.8384 2022/08/25 23:36:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:36:06 - mmengine - INFO - Epoch(train) [127][5/63] lr: 6.3343e-03 eta: 8:01:22 time: 0.7530 data_time: 0.1914 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6751 loss_db: 0.2526 loss: 3.7869 2022/08/25 23:36:08 - mmengine - INFO - Epoch(train) [127][10/63] lr: 6.3343e-03 eta: 8:01:16 time: 0.5468 data_time: 0.1897 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6802 loss_db: 0.2479 loss: 3.7875 2022/08/25 23:36:10 - mmengine - INFO - Epoch(train) [127][15/63] lr: 6.3343e-03 eta: 8:01:16 time: 0.3960 data_time: 0.0277 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7267 loss_db: 0.2741 loss: 3.8596 2022/08/25 23:36:11 - mmengine - INFO - Epoch(train) [127][20/63] lr: 6.3343e-03 eta: 8:01:08 time: 0.3810 data_time: 0.0155 memory: 6760 loss_prob: 2.8571 loss_thr: 0.7126 loss_db: 0.2887 loss: 3.8585 2022/08/25 23:36:13 - mmengine - INFO - Epoch(train) [127][25/63] lr: 6.3343e-03 eta: 8:01:08 time: 0.3810 data_time: 0.0205 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6663 loss_db: 0.2600 loss: 3.7837 2022/08/25 23:36:15 - mmengine - INFO - Epoch(train) [127][30/63] lr: 6.3343e-03 eta: 8:01:00 time: 0.3862 data_time: 0.0217 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6754 loss_db: 0.2386 loss: 3.7745 2022/08/25 23:36:17 - mmengine - INFO - Epoch(train) [127][35/63] lr: 6.3343e-03 eta: 8:01:00 time: 0.3726 data_time: 0.0200 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6568 loss_db: 0.2396 loss: 3.7575 2022/08/25 23:36:19 - mmengine - INFO - Epoch(train) [127][40/63] lr: 6.3343e-03 eta: 8:00:51 time: 0.3680 data_time: 0.0237 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6417 loss_db: 0.2360 loss: 3.7392 2022/08/25 23:36:23 - mmengine - INFO - Epoch(train) [127][45/63] lr: 6.3343e-03 eta: 8:00:51 time: 0.5810 data_time: 0.0251 memory: 6760 loss_prob: 2.8634 loss_thr: 0.7212 loss_db: 0.2599 loss: 3.8445 2022/08/25 23:36:25 - mmengine - INFO - Epoch(train) [127][50/63] lr: 6.3343e-03 eta: 8:01:00 time: 0.5813 data_time: 0.0222 memory: 6760 loss_prob: 2.8618 loss_thr: 0.7278 loss_db: 0.2885 loss: 3.8781 2022/08/25 23:36:27 - mmengine - INFO - Epoch(train) [127][55/63] lr: 6.3343e-03 eta: 8:01:00 time: 0.3705 data_time: 0.0176 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6807 loss_db: 0.2702 loss: 3.8101 2022/08/25 23:36:28 - mmengine - INFO - Epoch(train) [127][60/63] lr: 6.3343e-03 eta: 8:00:50 time: 0.3673 data_time: 0.0170 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6622 loss_db: 0.2365 loss: 3.7579 2022/08/25 23:36:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:36:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:36:33 - mmengine - INFO - Epoch(train) [128][5/63] lr: 6.3290e-03 eta: 8:00:50 time: 0.5543 data_time: 0.1694 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6592 loss_db: 0.2423 loss: 3.7608 2022/08/25 23:36:35 - mmengine - INFO - Epoch(train) [128][10/63] lr: 6.3290e-03 eta: 8:00:43 time: 0.5346 data_time: 0.1638 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6686 loss_db: 0.2523 loss: 3.7805 2022/08/25 23:36:37 - mmengine - INFO - Epoch(train) [128][15/63] lr: 6.3290e-03 eta: 8:00:43 time: 0.3724 data_time: 0.0188 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6651 loss_db: 0.2620 loss: 3.7859 2022/08/25 23:36:39 - mmengine - INFO - Epoch(train) [128][20/63] lr: 6.3290e-03 eta: 8:00:34 time: 0.3720 data_time: 0.0209 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6710 loss_db: 0.2696 loss: 3.8008 2022/08/25 23:36:41 - mmengine - INFO - Epoch(train) [128][25/63] lr: 6.3290e-03 eta: 8:00:34 time: 0.4532 data_time: 0.0283 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6589 loss_db: 0.2693 loss: 3.7894 2022/08/25 23:36:43 - mmengine - INFO - Epoch(train) [128][30/63] lr: 6.3290e-03 eta: 8:00:32 time: 0.4563 data_time: 0.0283 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6824 loss_db: 0.2525 loss: 3.7958 2022/08/25 23:36:45 - mmengine - INFO - Epoch(train) [128][35/63] lr: 6.3290e-03 eta: 8:00:32 time: 0.3726 data_time: 0.0236 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6828 loss_db: 0.2389 loss: 3.7825 2022/08/25 23:36:47 - mmengine - INFO - Epoch(train) [128][40/63] lr: 6.3290e-03 eta: 8:00:23 time: 0.3709 data_time: 0.0182 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6674 loss_db: 0.2445 loss: 3.7722 2022/08/25 23:36:49 - mmengine - INFO - Epoch(train) [128][45/63] lr: 6.3290e-03 eta: 8:00:23 time: 0.3720 data_time: 0.0172 memory: 6760 loss_prob: 2.8600 loss_thr: 0.7001 loss_db: 0.2476 loss: 3.8078 2022/08/25 23:36:51 - mmengine - INFO - Epoch(train) [128][50/63] lr: 6.3290e-03 eta: 8:00:19 time: 0.4233 data_time: 0.0346 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6977 loss_db: 0.2554 loss: 3.8116 2022/08/25 23:36:53 - mmengine - INFO - Epoch(train) [128][55/63] lr: 6.3290e-03 eta: 8:00:19 time: 0.4185 data_time: 0.0319 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6789 loss_db: 0.2546 loss: 3.7926 2022/08/25 23:36:55 - mmengine - INFO - Epoch(train) [128][60/63] lr: 6.3290e-03 eta: 8:00:09 time: 0.3610 data_time: 0.0195 memory: 6760 loss_prob: 2.8620 loss_thr: 0.7005 loss_db: 0.2629 loss: 3.8253 2022/08/25 23:36:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:36:59 - mmengine - INFO - Epoch(train) [129][5/63] lr: 6.3237e-03 eta: 8:00:09 time: 0.4927 data_time: 0.1501 memory: 6760 loss_prob: 2.8634 loss_thr: 0.7232 loss_db: 0.2787 loss: 3.8653 2022/08/25 23:37:01 - mmengine - INFO - Epoch(train) [129][10/63] lr: 6.3237e-03 eta: 8:00:04 time: 0.5577 data_time: 0.1799 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6834 loss_db: 0.2604 loss: 3.8047 2022/08/25 23:37:03 - mmengine - INFO - Epoch(train) [129][15/63] lr: 6.3237e-03 eta: 8:00:04 time: 0.4190 data_time: 0.0438 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6855 loss_db: 0.2533 loss: 3.7998 2022/08/25 23:37:05 - mmengine - INFO - Epoch(train) [129][20/63] lr: 6.3237e-03 eta: 7:59:54 time: 0.3584 data_time: 0.0142 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6650 loss_db: 0.2405 loss: 3.7659 2022/08/25 23:37:07 - mmengine - INFO - Epoch(train) [129][25/63] lr: 6.3237e-03 eta: 7:59:54 time: 0.3673 data_time: 0.0224 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6695 loss_db: 0.2606 loss: 3.7879 2022/08/25 23:37:09 - mmengine - INFO - Epoch(train) [129][30/63] lr: 6.3237e-03 eta: 7:59:46 time: 0.3792 data_time: 0.0178 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6881 loss_db: 0.2449 loss: 3.7917 2022/08/25 23:37:12 - mmengine - INFO - Epoch(train) [129][35/63] lr: 6.3237e-03 eta: 7:59:46 time: 0.5294 data_time: 0.0357 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6617 loss_db: 0.2315 loss: 3.7521 2022/08/25 23:37:15 - mmengine - INFO - Epoch(train) [129][40/63] lr: 6.3237e-03 eta: 7:59:54 time: 0.5836 data_time: 0.0946 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6982 loss_db: 0.2778 loss: 3.8357 2022/08/25 23:37:17 - mmengine - INFO - Epoch(train) [129][45/63] lr: 6.3237e-03 eta: 7:59:54 time: 0.4301 data_time: 0.0734 memory: 6760 loss_prob: 2.8605 loss_thr: 0.7188 loss_db: 0.2755 loss: 3.8548 2022/08/25 23:37:18 - mmengine - INFO - Epoch(train) [129][50/63] lr: 6.3237e-03 eta: 7:59:46 time: 0.3724 data_time: 0.0222 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6808 loss_db: 0.2651 loss: 3.8049 2022/08/25 23:37:20 - mmengine - INFO - Epoch(train) [129][55/63] lr: 6.3237e-03 eta: 7:59:46 time: 0.3647 data_time: 0.0177 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6855 loss_db: 0.2677 loss: 3.8121 2022/08/25 23:37:22 - mmengine - INFO - Epoch(train) [129][60/63] lr: 6.3237e-03 eta: 7:59:37 time: 0.3682 data_time: 0.0148 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6954 loss_db: 0.2554 loss: 3.8119 2022/08/25 23:37:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:37:26 - mmengine - INFO - Epoch(train) [130][5/63] lr: 6.3184e-03 eta: 7:59:37 time: 0.4925 data_time: 0.1481 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6742 loss_db: 0.2319 loss: 3.7691 2022/08/25 23:37:28 - mmengine - INFO - Epoch(train) [130][10/63] lr: 6.3184e-03 eta: 7:59:28 time: 0.5199 data_time: 0.1622 memory: 6760 loss_prob: 2.8623 loss_thr: 0.7033 loss_db: 0.2598 loss: 3.8254 2022/08/25 23:37:31 - mmengine - INFO - Epoch(train) [130][15/63] lr: 6.3184e-03 eta: 7:59:28 time: 0.4744 data_time: 0.0239 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6866 loss_db: 0.2690 loss: 3.8169 2022/08/25 23:37:33 - mmengine - INFO - Epoch(train) [130][20/63] lr: 6.3184e-03 eta: 7:59:28 time: 0.4713 data_time: 0.0242 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6494 loss_db: 0.2467 loss: 3.7572 2022/08/25 23:37:35 - mmengine - INFO - Epoch(train) [130][25/63] lr: 6.3184e-03 eta: 7:59:28 time: 0.4083 data_time: 0.0267 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6494 loss_db: 0.2474 loss: 3.7566 2022/08/25 23:37:37 - mmengine - INFO - Epoch(train) [130][30/63] lr: 6.3184e-03 eta: 7:59:20 time: 0.3876 data_time: 0.0163 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6479 loss_db: 0.2554 loss: 3.7618 2022/08/25 23:37:39 - mmengine - INFO - Epoch(train) [130][35/63] lr: 6.3184e-03 eta: 7:59:20 time: 0.3696 data_time: 0.0266 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6608 loss_db: 0.2536 loss: 3.7734 2022/08/25 23:37:41 - mmengine - INFO - Epoch(train) [130][40/63] lr: 6.3184e-03 eta: 7:59:12 time: 0.3747 data_time: 0.0238 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6702 loss_db: 0.2446 loss: 3.7743 2022/08/25 23:37:42 - mmengine - INFO - Epoch(train) [130][45/63] lr: 6.3184e-03 eta: 7:59:12 time: 0.3681 data_time: 0.0179 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6545 loss_db: 0.2434 loss: 3.7571 2022/08/25 23:37:44 - mmengine - INFO - Epoch(train) [130][50/63] lr: 6.3184e-03 eta: 7:59:03 time: 0.3751 data_time: 0.0239 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6687 loss_db: 0.2555 loss: 3.7829 2022/08/25 23:37:46 - mmengine - INFO - Epoch(train) [130][55/63] lr: 6.3184e-03 eta: 7:59:03 time: 0.3720 data_time: 0.0169 memory: 6760 loss_prob: 2.8604 loss_thr: 0.7009 loss_db: 0.2663 loss: 3.8275 2022/08/25 23:37:48 - mmengine - INFO - Epoch(train) [130][60/63] lr: 6.3184e-03 eta: 7:58:54 time: 0.3697 data_time: 0.0162 memory: 6760 loss_prob: 2.8598 loss_thr: 0.7025 loss_db: 0.2564 loss: 3.8187 2022/08/25 23:37:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:37:54 - mmengine - INFO - Epoch(train) [131][5/63] lr: 6.3131e-03 eta: 7:58:54 time: 0.6296 data_time: 0.2700 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6875 loss_db: 0.2563 loss: 3.8060 2022/08/25 23:37:56 - mmengine - INFO - Epoch(train) [131][10/63] lr: 6.3131e-03 eta: 7:58:57 time: 0.6528 data_time: 0.2770 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6867 loss_db: 0.2552 loss: 3.8030 2022/08/25 23:37:57 - mmengine - INFO - Epoch(train) [131][15/63] lr: 6.3131e-03 eta: 7:58:57 time: 0.3683 data_time: 0.0205 memory: 6760 loss_prob: 2.8629 loss_thr: 0.7137 loss_db: 0.2885 loss: 3.8652 2022/08/25 23:37:59 - mmengine - INFO - Epoch(train) [131][20/63] lr: 6.3131e-03 eta: 7:58:47 time: 0.3580 data_time: 0.0141 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6918 loss_db: 0.2714 loss: 3.8256 2022/08/25 23:38:02 - mmengine - INFO - Epoch(train) [131][25/63] lr: 6.3131e-03 eta: 7:58:47 time: 0.4441 data_time: 0.0324 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6555 loss_db: 0.2380 loss: 3.7549 2022/08/25 23:38:04 - mmengine - INFO - Epoch(train) [131][30/63] lr: 6.3131e-03 eta: 7:58:43 time: 0.4375 data_time: 0.0299 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6490 loss_db: 0.2666 loss: 3.7747 2022/08/25 23:38:07 - mmengine - INFO - Epoch(train) [131][35/63] lr: 6.3131e-03 eta: 7:58:43 time: 0.5284 data_time: 0.0394 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6886 loss_db: 0.2775 loss: 3.8242 2022/08/25 23:38:09 - mmengine - INFO - Epoch(train) [131][40/63] lr: 6.3131e-03 eta: 7:58:48 time: 0.5366 data_time: 0.0450 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6951 loss_db: 0.2488 loss: 3.8038 2022/08/25 23:38:11 - mmengine - INFO - Epoch(train) [131][45/63] lr: 6.3131e-03 eta: 7:58:48 time: 0.3867 data_time: 0.0255 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6793 loss_db: 0.2526 loss: 3.7929 2022/08/25 23:38:14 - mmengine - INFO - Epoch(train) [131][50/63] lr: 6.3131e-03 eta: 7:58:51 time: 0.5099 data_time: 0.1439 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6974 loss_db: 0.2583 loss: 3.8164 2022/08/25 23:38:16 - mmengine - INFO - Epoch(train) [131][55/63] lr: 6.3131e-03 eta: 7:58:51 time: 0.5386 data_time: 0.1840 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6961 loss_db: 0.2613 loss: 3.8195 2022/08/25 23:38:18 - mmengine - INFO - Epoch(train) [131][60/63] lr: 6.3131e-03 eta: 7:58:48 time: 0.4489 data_time: 0.1010 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6830 loss_db: 0.2600 loss: 3.8054 2022/08/25 23:38:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:38:25 - mmengine - INFO - Epoch(train) [132][5/63] lr: 6.3078e-03 eta: 7:58:48 time: 0.7227 data_time: 0.2601 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6769 loss_db: 0.2662 loss: 3.8008 2022/08/25 23:38:27 - mmengine - INFO - Epoch(train) [132][10/63] lr: 6.3078e-03 eta: 7:58:47 time: 0.6034 data_time: 0.2343 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6785 loss_db: 0.2782 loss: 3.8131 2022/08/25 23:38:29 - mmengine - INFO - Epoch(train) [132][15/63] lr: 6.3078e-03 eta: 7:58:47 time: 0.3852 data_time: 0.0353 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6980 loss_db: 0.2627 loss: 3.8184 2022/08/25 23:38:31 - mmengine - INFO - Epoch(train) [132][20/63] lr: 6.3078e-03 eta: 7:58:39 time: 0.3816 data_time: 0.0213 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6663 loss_db: 0.2466 loss: 3.7710 2022/08/25 23:38:33 - mmengine - INFO - Epoch(train) [132][25/63] lr: 6.3078e-03 eta: 7:58:39 time: 0.3888 data_time: 0.0224 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6598 loss_db: 0.2393 loss: 3.7580 2022/08/25 23:38:35 - mmengine - INFO - Epoch(train) [132][30/63] lr: 6.3078e-03 eta: 7:58:30 time: 0.3733 data_time: 0.0211 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6754 loss_db: 0.2233 loss: 3.7577 2022/08/25 23:38:37 - mmengine - INFO - Epoch(train) [132][35/63] lr: 6.3078e-03 eta: 7:58:30 time: 0.3800 data_time: 0.0266 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6622 loss_db: 0.2493 loss: 3.7685 2022/08/25 23:38:39 - mmengine - INFO - Epoch(train) [132][40/63] lr: 6.3078e-03 eta: 7:58:24 time: 0.3989 data_time: 0.0331 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6780 loss_db: 0.2634 loss: 3.7981 2022/08/25 23:38:42 - mmengine - INFO - Epoch(train) [132][45/63] lr: 6.3078e-03 eta: 7:58:24 time: 0.5219 data_time: 0.0497 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6974 loss_db: 0.2547 loss: 3.8096 2022/08/25 23:38:44 - mmengine - INFO - Epoch(train) [132][50/63] lr: 6.3078e-03 eta: 7:58:27 time: 0.5159 data_time: 0.0446 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7071 loss_db: 0.2675 loss: 3.8326 2022/08/25 23:38:46 - mmengine - INFO - Epoch(train) [132][55/63] lr: 6.3078e-03 eta: 7:58:27 time: 0.3753 data_time: 0.0232 memory: 6760 loss_prob: 2.8587 loss_thr: 0.7189 loss_db: 0.2837 loss: 3.8614 2022/08/25 23:38:47 - mmengine - INFO - Epoch(train) [132][60/63] lr: 6.3078e-03 eta: 7:58:18 time: 0.3730 data_time: 0.0246 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6955 loss_db: 0.2744 loss: 3.8305 2022/08/25 23:38:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:38:52 - mmengine - INFO - Epoch(train) [133][5/63] lr: 6.3025e-03 eta: 7:58:18 time: 0.5175 data_time: 0.1622 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6624 loss_db: 0.2366 loss: 3.7613 2022/08/25 23:38:54 - mmengine - INFO - Epoch(train) [133][10/63] lr: 6.3025e-03 eta: 7:58:10 time: 0.5245 data_time: 0.1546 memory: 6760 loss_prob: 2.8637 loss_thr: 0.6872 loss_db: 0.2475 loss: 3.7984 2022/08/25 23:38:56 - mmengine - INFO - Epoch(train) [133][15/63] lr: 6.3025e-03 eta: 7:58:10 time: 0.3719 data_time: 0.0216 memory: 6760 loss_prob: 2.8613 loss_thr: 0.7083 loss_db: 0.2671 loss: 3.8367 2022/08/25 23:38:57 - mmengine - INFO - Epoch(train) [133][20/63] lr: 6.3025e-03 eta: 7:58:01 time: 0.3642 data_time: 0.0264 memory: 6760 loss_prob: 2.8551 loss_thr: 0.6841 loss_db: 0.2715 loss: 3.8107 2022/08/25 23:39:01 - mmengine - INFO - Epoch(train) [133][25/63] lr: 6.3025e-03 eta: 7:58:01 time: 0.4983 data_time: 0.0246 memory: 6760 loss_prob: 2.8553 loss_thr: 0.7028 loss_db: 0.2645 loss: 3.8226 2022/08/25 23:39:03 - mmengine - INFO - Epoch(train) [133][30/63] lr: 6.3025e-03 eta: 7:58:07 time: 0.5608 data_time: 0.0397 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6952 loss_db: 0.2600 loss: 3.8126 2022/08/25 23:39:05 - mmengine - INFO - Epoch(train) [133][35/63] lr: 6.3025e-03 eta: 7:58:07 time: 0.4250 data_time: 0.0428 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6767 loss_db: 0.2692 loss: 3.8071 2022/08/25 23:39:07 - mmengine - INFO - Epoch(train) [133][40/63] lr: 6.3025e-03 eta: 7:57:59 time: 0.3685 data_time: 0.0229 memory: 6760 loss_prob: 2.8624 loss_thr: 0.7030 loss_db: 0.2683 loss: 3.8338 2022/08/25 23:39:09 - mmengine - INFO - Epoch(train) [133][45/63] lr: 6.3025e-03 eta: 7:57:59 time: 0.3747 data_time: 0.0251 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6927 loss_db: 0.2610 loss: 3.8123 2022/08/25 23:39:11 - mmengine - INFO - Epoch(train) [133][50/63] lr: 6.3025e-03 eta: 7:57:50 time: 0.3783 data_time: 0.0263 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6647 loss_db: 0.2589 loss: 3.7808 2022/08/25 23:39:12 - mmengine - INFO - Epoch(train) [133][55/63] lr: 6.3025e-03 eta: 7:57:50 time: 0.3736 data_time: 0.0215 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6791 loss_db: 0.2598 loss: 3.7965 2022/08/25 23:39:14 - mmengine - INFO - Epoch(train) [133][60/63] lr: 6.3025e-03 eta: 7:57:43 time: 0.3822 data_time: 0.0319 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6923 loss_db: 0.2550 loss: 3.8053 2022/08/25 23:39:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:39:19 - mmengine - INFO - Epoch(train) [134][5/63] lr: 6.2971e-03 eta: 7:57:43 time: 0.4971 data_time: 0.1499 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6666 loss_db: 0.2599 loss: 3.7844 2022/08/25 23:39:21 - mmengine - INFO - Epoch(train) [134][10/63] lr: 6.2971e-03 eta: 7:57:37 time: 0.5499 data_time: 0.1624 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6679 loss_db: 0.2589 loss: 3.7877 2022/08/25 23:39:23 - mmengine - INFO - Epoch(train) [134][15/63] lr: 6.2971e-03 eta: 7:57:37 time: 0.4191 data_time: 0.0324 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6901 loss_db: 0.2493 loss: 3.8014 2022/08/25 23:39:26 - mmengine - INFO - Epoch(train) [134][20/63] lr: 6.2971e-03 eta: 7:57:43 time: 0.5593 data_time: 0.1475 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6628 loss_db: 0.2493 loss: 3.7710 2022/08/25 23:39:28 - mmengine - INFO - Epoch(train) [134][25/63] lr: 6.2971e-03 eta: 7:57:43 time: 0.5514 data_time: 0.1513 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6656 loss_db: 0.2592 loss: 3.7827 2022/08/25 23:39:31 - mmengine - INFO - Epoch(train) [134][30/63] lr: 6.2971e-03 eta: 7:57:38 time: 0.4105 data_time: 0.0562 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6998 loss_db: 0.2564 loss: 3.8156 2022/08/25 23:39:33 - mmengine - INFO - Epoch(train) [134][35/63] lr: 6.2971e-03 eta: 7:57:38 time: 0.4655 data_time: 0.1077 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6814 loss_db: 0.2544 loss: 3.7952 2022/08/25 23:39:36 - mmengine - INFO - Epoch(train) [134][40/63] lr: 6.2971e-03 eta: 7:57:43 time: 0.5471 data_time: 0.1974 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6516 loss_db: 0.2418 loss: 3.7511 2022/08/25 23:39:38 - mmengine - INFO - Epoch(train) [134][45/63] lr: 6.2971e-03 eta: 7:57:43 time: 0.5202 data_time: 0.1814 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6518 loss_db: 0.2338 loss: 3.7437 2022/08/25 23:39:41 - mmengine - INFO - Epoch(train) [134][50/63] lr: 6.2971e-03 eta: 7:57:42 time: 0.4703 data_time: 0.0598 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6644 loss_db: 0.2468 loss: 3.7701 2022/08/25 23:39:43 - mmengine - INFO - Epoch(train) [134][55/63] lr: 6.2971e-03 eta: 7:57:42 time: 0.4405 data_time: 0.0233 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6984 loss_db: 0.2883 loss: 3.8445 2022/08/25 23:39:44 - mmengine - INFO - Epoch(train) [134][60/63] lr: 6.2971e-03 eta: 7:57:33 time: 0.3702 data_time: 0.0274 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7192 loss_db: 0.2823 loss: 3.8596 2022/08/25 23:39:46 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:39:49 - mmengine - INFO - Epoch(train) [135][5/63] lr: 6.2918e-03 eta: 7:57:33 time: 0.5298 data_time: 0.1868 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6985 loss_db: 0.2524 loss: 3.8105 2022/08/25 23:39:51 - mmengine - INFO - Epoch(train) [135][10/63] lr: 6.2918e-03 eta: 7:57:27 time: 0.5466 data_time: 0.1888 memory: 6760 loss_prob: 2.8579 loss_thr: 0.7043 loss_db: 0.2752 loss: 3.8375 2022/08/25 23:39:53 - mmengine - INFO - Epoch(train) [135][15/63] lr: 6.2918e-03 eta: 7:57:27 time: 0.3807 data_time: 0.0279 memory: 6760 loss_prob: 2.8581 loss_thr: 0.7318 loss_db: 0.2918 loss: 3.8817 2022/08/25 23:39:55 - mmengine - INFO - Epoch(train) [135][20/63] lr: 6.2918e-03 eta: 7:57:18 time: 0.3698 data_time: 0.0176 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6919 loss_db: 0.2550 loss: 3.8071 2022/08/25 23:39:57 - mmengine - INFO - Epoch(train) [135][25/63] lr: 6.2918e-03 eta: 7:57:18 time: 0.3858 data_time: 0.0380 memory: 6760 loss_prob: 2.8640 loss_thr: 0.7071 loss_db: 0.2611 loss: 3.8322 2022/08/25 23:39:59 - mmengine - INFO - Epoch(train) [135][30/63] lr: 6.2918e-03 eta: 7:57:10 time: 0.3771 data_time: 0.0325 memory: 6760 loss_prob: 2.8625 loss_thr: 0.7455 loss_db: 0.2800 loss: 3.8880 2022/08/25 23:40:02 - mmengine - INFO - Epoch(train) [135][35/63] lr: 6.2918e-03 eta: 7:57:10 time: 0.5345 data_time: 0.0223 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6940 loss_db: 0.2527 loss: 3.8033 2022/08/25 23:40:04 - mmengine - INFO - Epoch(train) [135][40/63] lr: 6.2918e-03 eta: 7:57:15 time: 0.5455 data_time: 0.0362 memory: 6760 loss_prob: 2.8532 loss_thr: 0.6385 loss_db: 0.2503 loss: 3.7421 2022/08/25 23:40:06 - mmengine - INFO - Epoch(train) [135][45/63] lr: 6.2918e-03 eta: 7:57:15 time: 0.3828 data_time: 0.0317 memory: 6760 loss_prob: 2.8530 loss_thr: 0.6495 loss_db: 0.2586 loss: 3.7611 2022/08/25 23:40:08 - mmengine - INFO - Epoch(train) [135][50/63] lr: 6.2918e-03 eta: 7:57:08 time: 0.3828 data_time: 0.0361 memory: 6760 loss_prob: 2.8556 loss_thr: 0.6914 loss_db: 0.2527 loss: 3.7997 2022/08/25 23:40:10 - mmengine - INFO - Epoch(train) [135][55/63] lr: 6.2918e-03 eta: 7:57:08 time: 0.3705 data_time: 0.0326 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6930 loss_db: 0.2688 loss: 3.8186 2022/08/25 23:40:11 - mmengine - INFO - Epoch(train) [135][60/63] lr: 6.2918e-03 eta: 7:56:59 time: 0.3658 data_time: 0.0212 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6531 loss_db: 0.2523 loss: 3.7623 2022/08/25 23:40:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:40:16 - mmengine - INFO - Epoch(train) [136][5/63] lr: 6.2865e-03 eta: 7:56:59 time: 0.5217 data_time: 0.1760 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6444 loss_db: 0.2296 loss: 3.7293 2022/08/25 23:40:18 - mmengine - INFO - Epoch(train) [136][10/63] lr: 6.2865e-03 eta: 7:56:52 time: 0.5407 data_time: 0.1941 memory: 6760 loss_prob: 2.8554 loss_thr: 0.6439 loss_db: 0.2428 loss: 3.7421 2022/08/25 23:40:20 - mmengine - INFO - Epoch(train) [136][15/63] lr: 6.2865e-03 eta: 7:56:52 time: 0.4561 data_time: 0.0327 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6574 loss_db: 0.2300 loss: 3.7441 2022/08/25 23:40:22 - mmengine - INFO - Epoch(train) [136][20/63] lr: 6.2865e-03 eta: 7:56:50 time: 0.4521 data_time: 0.0249 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6749 loss_db: 0.2414 loss: 3.7743 2022/08/25 23:40:24 - mmengine - INFO - Epoch(train) [136][25/63] lr: 6.2865e-03 eta: 7:56:50 time: 0.3761 data_time: 0.0323 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6829 loss_db: 0.2583 loss: 3.8007 2022/08/25 23:40:27 - mmengine - INFO - Epoch(train) [136][30/63] lr: 6.2865e-03 eta: 7:56:44 time: 0.4106 data_time: 0.0249 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6833 loss_db: 0.2589 loss: 3.8040 2022/08/25 23:40:28 - mmengine - INFO - Epoch(train) [136][35/63] lr: 6.2865e-03 eta: 7:56:44 time: 0.4252 data_time: 0.0357 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6801 loss_db: 0.2622 loss: 3.8036 2022/08/25 23:40:30 - mmengine - INFO - Epoch(train) [136][40/63] lr: 6.2865e-03 eta: 7:56:37 time: 0.3957 data_time: 0.0373 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6689 loss_db: 0.2571 loss: 3.7846 2022/08/25 23:40:32 - mmengine - INFO - Epoch(train) [136][45/63] lr: 6.2865e-03 eta: 7:56:37 time: 0.3782 data_time: 0.0239 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6689 loss_db: 0.2512 loss: 3.7790 2022/08/25 23:40:34 - mmengine - INFO - Epoch(train) [136][50/63] lr: 6.2865e-03 eta: 7:56:29 time: 0.3731 data_time: 0.0281 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6615 loss_db: 0.2533 loss: 3.7745 2022/08/25 23:40:36 - mmengine - INFO - Epoch(train) [136][55/63] lr: 6.2865e-03 eta: 7:56:29 time: 0.3673 data_time: 0.0227 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6838 loss_db: 0.2575 loss: 3.8009 2022/08/25 23:40:38 - mmengine - INFO - Epoch(train) [136][60/63] lr: 6.2865e-03 eta: 7:56:20 time: 0.3679 data_time: 0.0209 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6894 loss_db: 0.2544 loss: 3.8037 2022/08/25 23:40:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:40:46 - mmengine - INFO - Epoch(train) [137][5/63] lr: 6.2812e-03 eta: 7:56:20 time: 0.8500 data_time: 0.3229 memory: 6760 loss_prob: 2.8630 loss_thr: 0.7064 loss_db: 0.2649 loss: 3.8342 2022/08/25 23:40:48 - mmengine - INFO - Epoch(train) [137][10/63] lr: 6.2812e-03 eta: 7:56:20 time: 0.6226 data_time: 0.2670 memory: 6760 loss_prob: 2.8625 loss_thr: 0.7240 loss_db: 0.2747 loss: 3.8612 2022/08/25 23:40:51 - mmengine - INFO - Epoch(train) [137][15/63] lr: 6.2812e-03 eta: 7:56:20 time: 0.5470 data_time: 0.1883 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6479 loss_db: 0.2605 loss: 3.7687 2022/08/25 23:40:54 - mmengine - INFO - Epoch(train) [137][20/63] lr: 6.2812e-03 eta: 7:56:25 time: 0.5503 data_time: 0.1871 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6354 loss_db: 0.2465 loss: 3.7425 2022/08/25 23:40:56 - mmengine - INFO - Epoch(train) [137][25/63] lr: 6.2812e-03 eta: 7:56:25 time: 0.4335 data_time: 0.0743 memory: 6760 loss_prob: 2.8632 loss_thr: 0.6919 loss_db: 0.2339 loss: 3.7890 2022/08/25 23:40:57 - mmengine - INFO - Epoch(train) [137][30/63] lr: 6.2812e-03 eta: 7:56:17 time: 0.3740 data_time: 0.0217 memory: 6760 loss_prob: 2.8640 loss_thr: 0.6689 loss_db: 0.2290 loss: 3.7619 2022/08/25 23:40:59 - mmengine - INFO - Epoch(train) [137][35/63] lr: 6.2812e-03 eta: 7:56:17 time: 0.3616 data_time: 0.0252 memory: 6760 loss_prob: 2.8634 loss_thr: 0.6332 loss_db: 0.2401 loss: 3.7367 2022/08/25 23:41:03 - mmengine - INFO - Epoch(train) [137][40/63] lr: 6.2812e-03 eta: 7:56:26 time: 0.5978 data_time: 0.0518 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6244 loss_db: 0.2384 loss: 3.7251 2022/08/25 23:41:05 - mmengine - INFO - Epoch(train) [137][45/63] lr: 6.2812e-03 eta: 7:56:26 time: 0.6129 data_time: 0.0555 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6230 loss_db: 0.2252 loss: 3.7089 2022/08/25 23:41:07 - mmengine - INFO - Epoch(train) [137][50/63] lr: 6.2812e-03 eta: 7:56:18 time: 0.3785 data_time: 0.0301 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6365 loss_db: 0.2227 loss: 3.7194 2022/08/25 23:41:09 - mmengine - INFO - Epoch(train) [137][55/63] lr: 6.2812e-03 eta: 7:56:18 time: 0.3764 data_time: 0.0205 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6546 loss_db: 0.2345 loss: 3.7485 2022/08/25 23:41:11 - mmengine - INFO - Epoch(train) [137][60/63] lr: 6.2812e-03 eta: 7:56:10 time: 0.3747 data_time: 0.0191 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6564 loss_db: 0.2443 loss: 3.7599 2022/08/25 23:41:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:41:15 - mmengine - INFO - Epoch(train) [138][5/63] lr: 6.2759e-03 eta: 7:56:10 time: 0.4985 data_time: 0.1544 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6802 loss_db: 0.2448 loss: 3.7872 2022/08/25 23:41:17 - mmengine - INFO - Epoch(train) [138][10/63] lr: 6.2759e-03 eta: 7:56:01 time: 0.5143 data_time: 0.1554 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6268 loss_db: 0.2347 loss: 3.7228 2022/08/25 23:41:19 - mmengine - INFO - Epoch(train) [138][15/63] lr: 6.2759e-03 eta: 7:56:01 time: 0.3725 data_time: 0.0254 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6531 loss_db: 0.2953 loss: 3.8067 2022/08/25 23:41:21 - mmengine - INFO - Epoch(train) [138][20/63] lr: 6.2759e-03 eta: 7:55:54 time: 0.3946 data_time: 0.0265 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6875 loss_db: 0.2822 loss: 3.8281 2022/08/25 23:41:23 - mmengine - INFO - Epoch(train) [138][25/63] lr: 6.2759e-03 eta: 7:55:54 time: 0.4027 data_time: 0.0441 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6550 loss_db: 0.2341 loss: 3.7471 2022/08/25 23:41:25 - mmengine - INFO - Epoch(train) [138][30/63] lr: 6.2759e-03 eta: 7:55:45 time: 0.3640 data_time: 0.0319 memory: 6760 loss_prob: 2.8558 loss_thr: 0.6617 loss_db: 0.2525 loss: 3.7700 2022/08/25 23:41:27 - mmengine - INFO - Epoch(train) [138][35/63] lr: 6.2759e-03 eta: 7:55:45 time: 0.3636 data_time: 0.0209 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6667 loss_db: 0.2531 loss: 3.7751 2022/08/25 23:41:28 - mmengine - INFO - Epoch(train) [138][40/63] lr: 6.2759e-03 eta: 7:55:36 time: 0.3653 data_time: 0.0241 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6599 loss_db: 0.2464 loss: 3.7631 2022/08/25 23:41:31 - mmengine - INFO - Epoch(train) [138][45/63] lr: 6.2759e-03 eta: 7:55:36 time: 0.4835 data_time: 0.0232 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6733 loss_db: 0.2401 loss: 3.7703 2022/08/25 23:41:33 - mmengine - INFO - Epoch(train) [138][50/63] lr: 6.2759e-03 eta: 7:55:38 time: 0.5034 data_time: 0.0441 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6801 loss_db: 0.2495 loss: 3.7883 2022/08/25 23:41:35 - mmengine - INFO - Epoch(train) [138][55/63] lr: 6.2759e-03 eta: 7:55:38 time: 0.3827 data_time: 0.0382 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6860 loss_db: 0.2741 loss: 3.8197 2022/08/25 23:41:37 - mmengine - INFO - Epoch(train) [138][60/63] lr: 6.2759e-03 eta: 7:55:31 time: 0.3968 data_time: 0.0196 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6939 loss_db: 0.2668 loss: 3.8190 2022/08/25 23:41:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:41:42 - mmengine - INFO - Epoch(train) [139][5/63] lr: 6.2705e-03 eta: 7:55:31 time: 0.5628 data_time: 0.1768 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6920 loss_db: 0.2743 loss: 3.8259 2022/08/25 23:41:44 - mmengine - INFO - Epoch(train) [139][10/63] lr: 6.2705e-03 eta: 7:55:26 time: 0.5533 data_time: 0.1979 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6927 loss_db: 0.2708 loss: 3.8226 2022/08/25 23:41:46 - mmengine - INFO - Epoch(train) [139][15/63] lr: 6.2705e-03 eta: 7:55:26 time: 0.3892 data_time: 0.0365 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6912 loss_db: 0.2469 loss: 3.7984 2022/08/25 23:41:48 - mmengine - INFO - Epoch(train) [139][20/63] lr: 6.2705e-03 eta: 7:55:17 time: 0.3733 data_time: 0.0197 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6841 loss_db: 0.2603 loss: 3.8052 2022/08/25 23:41:50 - mmengine - INFO - Epoch(train) [139][25/63] lr: 6.2705e-03 eta: 7:55:17 time: 0.3968 data_time: 0.0221 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6930 loss_db: 0.2649 loss: 3.8171 2022/08/25 23:41:53 - mmengine - INFO - Epoch(train) [139][30/63] lr: 6.2705e-03 eta: 7:55:19 time: 0.5053 data_time: 0.0335 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6761 loss_db: 0.2540 loss: 3.7913 2022/08/25 23:41:55 - mmengine - INFO - Epoch(train) [139][35/63] lr: 6.2705e-03 eta: 7:55:19 time: 0.4951 data_time: 0.0492 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6878 loss_db: 0.2593 loss: 3.8083 2022/08/25 23:41:57 - mmengine - INFO - Epoch(train) [139][40/63] lr: 6.2705e-03 eta: 7:55:15 time: 0.4240 data_time: 0.0738 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6970 loss_db: 0.2675 loss: 3.8223 2022/08/25 23:41:59 - mmengine - INFO - Epoch(train) [139][45/63] lr: 6.2705e-03 eta: 7:55:15 time: 0.4611 data_time: 0.1091 memory: 6760 loss_prob: 2.8553 loss_thr: 0.7045 loss_db: 0.2874 loss: 3.8472 2022/08/25 23:42:01 - mmengine - INFO - Epoch(train) [139][50/63] lr: 6.2705e-03 eta: 7:55:12 time: 0.4450 data_time: 0.0776 memory: 6760 loss_prob: 2.8590 loss_thr: 0.7355 loss_db: 0.2955 loss: 3.8899 2022/08/25 23:42:04 - mmengine - INFO - Epoch(train) [139][55/63] lr: 6.2705e-03 eta: 7:55:12 time: 0.4254 data_time: 0.0615 memory: 6760 loss_prob: 2.8602 loss_thr: 0.7171 loss_db: 0.2647 loss: 3.8420 2022/08/25 23:42:07 - mmengine - INFO - Epoch(train) [139][60/63] lr: 6.2705e-03 eta: 7:55:14 time: 0.5064 data_time: 0.1584 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6929 loss_db: 0.2540 loss: 3.8038 2022/08/25 23:42:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:42:12 - mmengine - INFO - Epoch(train) [140][5/63] lr: 6.2652e-03 eta: 7:55:14 time: 0.6195 data_time: 0.2159 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6826 loss_db: 0.2580 loss: 3.7976 2022/08/25 23:42:14 - mmengine - INFO - Epoch(train) [140][10/63] lr: 6.2652e-03 eta: 7:55:12 time: 0.5989 data_time: 0.1881 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6924 loss_db: 0.2746 loss: 3.8242 2022/08/25 23:42:16 - mmengine - INFO - Epoch(train) [140][15/63] lr: 6.2652e-03 eta: 7:55:12 time: 0.3883 data_time: 0.0394 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6918 loss_db: 0.2776 loss: 3.8268 2022/08/25 23:42:18 - mmengine - INFO - Epoch(train) [140][20/63] lr: 6.2652e-03 eta: 7:55:04 time: 0.3790 data_time: 0.0283 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6783 loss_db: 0.2607 loss: 3.7965 2022/08/25 23:42:20 - mmengine - INFO - Epoch(train) [140][25/63] lr: 6.2652e-03 eta: 7:55:04 time: 0.4008 data_time: 0.0287 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6756 loss_db: 0.2490 loss: 3.7833 2022/08/25 23:42:23 - mmengine - INFO - Epoch(train) [140][30/63] lr: 6.2652e-03 eta: 7:55:05 time: 0.4996 data_time: 0.0331 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6630 loss_db: 0.2353 loss: 3.7587 2022/08/25 23:42:25 - mmengine - INFO - Epoch(train) [140][35/63] lr: 6.2652e-03 eta: 7:55:05 time: 0.4680 data_time: 0.0320 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6586 loss_db: 0.2369 loss: 3.7552 2022/08/25 23:42:27 - mmengine - INFO - Epoch(train) [140][40/63] lr: 6.2652e-03 eta: 7:54:57 time: 0.3781 data_time: 0.0322 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6647 loss_db: 0.2613 loss: 3.7835 2022/08/25 23:42:28 - mmengine - INFO - Epoch(train) [140][45/63] lr: 6.2652e-03 eta: 7:54:57 time: 0.3743 data_time: 0.0293 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6735 loss_db: 0.2689 loss: 3.8005 2022/08/25 23:42:30 - mmengine - INFO - Epoch(train) [140][50/63] lr: 6.2652e-03 eta: 7:54:50 time: 0.3903 data_time: 0.0276 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6992 loss_db: 0.2711 loss: 3.8301 2022/08/25 23:42:33 - mmengine - INFO - Epoch(train) [140][55/63] lr: 6.2652e-03 eta: 7:54:50 time: 0.4558 data_time: 0.0299 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6911 loss_db: 0.2543 loss: 3.8063 2022/08/25 23:42:35 - mmengine - INFO - Epoch(train) [140][60/63] lr: 6.2652e-03 eta: 7:54:46 time: 0.4324 data_time: 0.0265 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6715 loss_db: 0.2437 loss: 3.7775 2022/08/25 23:42:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:42:36 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/25 23:42:41 - mmengine - INFO - Epoch(val) [140][5/500] eta: 7:54:46 time: 0.3766 data_time: 0.0589 memory: 6760 2022/08/25 23:42:43 - mmengine - INFO - Epoch(val) [140][10/500] eta: 0:03:00 time: 0.3678 data_time: 0.0595 memory: 425 2022/08/25 23:42:44 - mmengine - INFO - Epoch(val) [140][15/500] eta: 0:03:00 time: 0.2456 data_time: 0.0024 memory: 425 2022/08/25 23:42:45 - mmengine - INFO - Epoch(val) [140][20/500] eta: 0:01:59 time: 0.2496 data_time: 0.0024 memory: 425 2022/08/25 23:42:46 - mmengine - INFO - Epoch(val) [140][25/500] eta: 0:01:59 time: 0.2807 data_time: 0.0024 memory: 425 2022/08/25 23:42:48 - mmengine - INFO - Epoch(val) [140][30/500] eta: 0:02:27 time: 0.3141 data_time: 0.0017 memory: 425 2022/08/25 23:42:50 - mmengine - INFO - Epoch(val) [140][35/500] eta: 0:02:27 time: 0.3083 data_time: 0.0017 memory: 425 2022/08/25 23:42:52 - mmengine - INFO - Epoch(val) [140][40/500] eta: 0:03:01 time: 0.3945 data_time: 0.0353 memory: 425 2022/08/25 23:42:54 - mmengine - INFO - Epoch(val) [140][45/500] eta: 0:03:01 time: 0.4351 data_time: 0.0478 memory: 425 2022/08/25 23:42:55 - mmengine - INFO - Epoch(val) [140][50/500] eta: 0:02:16 time: 0.3024 data_time: 0.0151 memory: 425 2022/08/25 23:42:57 - mmengine - INFO - Epoch(val) [140][55/500] eta: 0:02:16 time: 0.3011 data_time: 0.0026 memory: 425 2022/08/25 23:42:58 - mmengine - INFO - Epoch(val) [140][60/500] eta: 0:02:09 time: 0.2946 data_time: 0.0018 memory: 425 2022/08/25 23:43:00 - mmengine - INFO - Epoch(val) [140][65/500] eta: 0:02:09 time: 0.2829 data_time: 0.0017 memory: 425 2022/08/25 23:43:01 - mmengine - INFO - Epoch(val) [140][70/500] eta: 0:02:08 time: 0.2979 data_time: 0.0033 memory: 425 2022/08/25 23:43:02 - mmengine - INFO - Epoch(val) [140][75/500] eta: 0:02:08 time: 0.2630 data_time: 0.0034 memory: 425 2022/08/25 23:43:04 - mmengine - INFO - Epoch(val) [140][80/500] eta: 0:01:40 time: 0.2398 data_time: 0.0018 memory: 425 2022/08/25 23:43:05 - mmengine - INFO - Epoch(val) [140][85/500] eta: 0:01:40 time: 0.2318 data_time: 0.0017 memory: 425 2022/08/25 23:43:06 - mmengine - INFO - Epoch(val) [140][90/500] eta: 0:01:55 time: 0.2810 data_time: 0.0017 memory: 425 2022/08/25 23:43:08 - mmengine - INFO - Epoch(val) [140][95/500] eta: 0:01:55 time: 0.3121 data_time: 0.0018 memory: 425 2022/08/25 23:43:09 - mmengine - INFO - Epoch(val) [140][100/500] eta: 0:01:58 time: 0.2959 data_time: 0.0018 memory: 425 2022/08/25 23:43:12 - mmengine - INFO - Epoch(val) [140][105/500] eta: 0:01:58 time: 0.4274 data_time: 0.0153 memory: 425 2022/08/25 23:43:14 - mmengine - INFO - Epoch(val) [140][110/500] eta: 0:02:50 time: 0.4382 data_time: 0.0245 memory: 425 2022/08/25 23:43:15 - mmengine - INFO - Epoch(val) [140][115/500] eta: 0:02:50 time: 0.2848 data_time: 0.0113 memory: 425 2022/08/25 23:43:17 - mmengine - INFO - Epoch(val) [140][120/500] eta: 0:01:48 time: 0.2863 data_time: 0.0023 memory: 425 2022/08/25 23:43:18 - mmengine - INFO - Epoch(val) [140][125/500] eta: 0:01:48 time: 0.3197 data_time: 0.0019 memory: 425 2022/08/25 23:43:19 - mmengine - INFO - Epoch(val) [140][130/500] eta: 0:01:39 time: 0.2696 data_time: 0.0017 memory: 425 2022/08/25 23:43:20 - mmengine - INFO - Epoch(val) [140][135/500] eta: 0:01:39 time: 0.2302 data_time: 0.0018 memory: 425 2022/08/25 23:43:22 - mmengine - INFO - Epoch(val) [140][140/500] eta: 0:01:31 time: 0.2555 data_time: 0.0018 memory: 425 2022/08/25 23:43:23 - mmengine - INFO - Epoch(val) [140][145/500] eta: 0:01:31 time: 0.2709 data_time: 0.0017 memory: 425 2022/08/25 23:43:25 - mmengine - INFO - Epoch(val) [140][150/500] eta: 0:01:48 time: 0.3092 data_time: 0.0017 memory: 425 2022/08/25 23:43:27 - mmengine - INFO - Epoch(val) [140][155/500] eta: 0:01:48 time: 0.3522 data_time: 0.0060 memory: 425 2022/08/25 23:43:28 - mmengine - INFO - Epoch(val) [140][160/500] eta: 0:01:47 time: 0.3162 data_time: 0.0060 memory: 425 2022/08/25 23:43:30 - mmengine - INFO - Epoch(val) [140][165/500] eta: 0:01:47 time: 0.2841 data_time: 0.0018 memory: 425 2022/08/25 23:43:33 - mmengine - INFO - Epoch(val) [140][170/500] eta: 0:02:47 time: 0.5080 data_time: 0.0162 memory: 425 2022/08/25 23:43:34 - mmengine - INFO - Epoch(val) [140][175/500] eta: 0:02:47 time: 0.4960 data_time: 0.0185 memory: 425 2022/08/25 23:43:36 - mmengine - INFO - Epoch(val) [140][180/500] eta: 0:01:32 time: 0.2877 data_time: 0.0040 memory: 425 2022/08/25 23:43:38 - mmengine - INFO - Epoch(val) [140][185/500] eta: 0:01:32 time: 0.3322 data_time: 0.0028 memory: 425 2022/08/25 23:43:39 - mmengine - INFO - Epoch(val) [140][190/500] eta: 0:01:42 time: 0.3303 data_time: 0.0029 memory: 425 2022/08/25 23:43:41 - mmengine - INFO - Epoch(val) [140][195/500] eta: 0:01:42 time: 0.2920 data_time: 0.0019 memory: 425 2022/08/25 23:43:42 - mmengine - INFO - Epoch(val) [140][200/500] eta: 0:01:22 time: 0.2760 data_time: 0.0019 memory: 425 2022/08/25 23:43:43 - mmengine - INFO - Epoch(val) [140][205/500] eta: 0:01:22 time: 0.2706 data_time: 0.0017 memory: 425 2022/08/25 23:43:45 - mmengine - INFO - Epoch(val) [140][210/500] eta: 0:01:16 time: 0.2629 data_time: 0.0017 memory: 425 2022/08/25 23:43:46 - mmengine - INFO - Epoch(val) [140][215/500] eta: 0:01:16 time: 0.2592 data_time: 0.0017 memory: 425 2022/08/25 23:43:47 - mmengine - INFO - Epoch(val) [140][220/500] eta: 0:01:13 time: 0.2633 data_time: 0.0017 memory: 425 2022/08/25 23:43:49 - mmengine - INFO - Epoch(val) [140][225/500] eta: 0:01:13 time: 0.2936 data_time: 0.0019 memory: 425 2022/08/25 23:43:52 - mmengine - INFO - Epoch(val) [140][230/500] eta: 0:02:04 time: 0.4621 data_time: 0.0311 memory: 425 2022/08/25 23:43:54 - mmengine - INFO - Epoch(val) [140][235/500] eta: 0:02:04 time: 0.4579 data_time: 0.0347 memory: 425 2022/08/25 23:43:55 - mmengine - INFO - Epoch(val) [140][240/500] eta: 0:01:18 time: 0.3008 data_time: 0.0055 memory: 425 2022/08/25 23:43:56 - mmengine - INFO - Epoch(val) [140][245/500] eta: 0:01:18 time: 0.2573 data_time: 0.0021 memory: 425 2022/08/25 23:43:58 - mmengine - INFO - Epoch(val) [140][250/500] eta: 0:01:07 time: 0.2697 data_time: 0.0021 memory: 425 2022/08/25 23:43:59 - mmengine - INFO - Epoch(val) [140][255/500] eta: 0:01:07 time: 0.2743 data_time: 0.0017 memory: 425 2022/08/25 23:44:00 - mmengine - INFO - Epoch(val) [140][260/500] eta: 0:00:57 time: 0.2388 data_time: 0.0018 memory: 425 2022/08/25 23:44:01 - mmengine - INFO - Epoch(val) [140][265/500] eta: 0:00:57 time: 0.2332 data_time: 0.0017 memory: 425 2022/08/25 23:44:03 - mmengine - INFO - Epoch(val) [140][270/500] eta: 0:01:00 time: 0.2627 data_time: 0.0017 memory: 425 2022/08/25 23:44:04 - mmengine - INFO - Epoch(val) [140][275/500] eta: 0:01:00 time: 0.2734 data_time: 0.0017 memory: 425 2022/08/25 23:44:06 - mmengine - INFO - Epoch(val) [140][280/500] eta: 0:01:03 time: 0.2883 data_time: 0.0016 memory: 425 2022/08/25 23:44:07 - mmengine - INFO - Epoch(val) [140][285/500] eta: 0:01:03 time: 0.2961 data_time: 0.0016 memory: 425 2022/08/25 23:44:08 - mmengine - INFO - Epoch(val) [140][290/500] eta: 0:00:57 time: 0.2740 data_time: 0.0023 memory: 425 2022/08/25 23:44:10 - mmengine - INFO - Epoch(val) [140][295/500] eta: 0:00:57 time: 0.2831 data_time: 0.0024 memory: 425 2022/08/25 23:44:13 - mmengine - INFO - Epoch(val) [140][300/500] eta: 0:01:32 time: 0.4612 data_time: 0.0135 memory: 425 2022/08/25 23:44:14 - mmengine - INFO - Epoch(val) [140][305/500] eta: 0:01:32 time: 0.4487 data_time: 0.0169 memory: 425 2022/08/25 23:44:16 - mmengine - INFO - Epoch(val) [140][310/500] eta: 0:00:50 time: 0.2642 data_time: 0.0052 memory: 425 2022/08/25 23:44:17 - mmengine - INFO - Epoch(val) [140][315/500] eta: 0:00:50 time: 0.3032 data_time: 0.0019 memory: 425 2022/08/25 23:44:19 - mmengine - INFO - Epoch(val) [140][320/500] eta: 0:00:53 time: 0.2969 data_time: 0.0027 memory: 425 2022/08/25 23:44:21 - mmengine - INFO - Epoch(val) [140][325/500] eta: 0:00:53 time: 0.3337 data_time: 0.0027 memory: 425 2022/08/25 23:44:22 - mmengine - INFO - Epoch(val) [140][330/500] eta: 0:00:54 time: 0.3232 data_time: 0.0019 memory: 425 2022/08/25 23:44:23 - mmengine - INFO - Epoch(val) [140][335/500] eta: 0:00:54 time: 0.2695 data_time: 0.0019 memory: 425 2022/08/25 23:44:25 - mmengine - INFO - Epoch(val) [140][340/500] eta: 0:00:50 time: 0.3168 data_time: 0.0020 memory: 425 2022/08/25 23:44:27 - mmengine - INFO - Epoch(val) [140][345/500] eta: 0:00:50 time: 0.3222 data_time: 0.0018 memory: 425 2022/08/25 23:44:29 - mmengine - INFO - Epoch(val) [140][350/500] eta: 0:00:58 time: 0.3900 data_time: 0.0041 memory: 425 2022/08/25 23:44:32 - mmengine - INFO - Epoch(val) [140][355/500] eta: 0:00:58 time: 0.4988 data_time: 0.0150 memory: 425 2022/08/25 23:44:33 - mmengine - INFO - Epoch(val) [140][360/500] eta: 0:00:57 time: 0.4102 data_time: 0.0137 memory: 425 2022/08/25 23:44:35 - mmengine - INFO - Epoch(val) [140][365/500] eta: 0:00:57 time: 0.3022 data_time: 0.0030 memory: 425 2022/08/25 23:44:36 - mmengine - INFO - Epoch(val) [140][370/500] eta: 0:00:35 time: 0.2695 data_time: 0.0019 memory: 425 2022/08/25 23:44:37 - mmengine - INFO - Epoch(val) [140][375/500] eta: 0:00:35 time: 0.2373 data_time: 0.0018 memory: 425 2022/08/25 23:44:38 - mmengine - INFO - Epoch(val) [140][380/500] eta: 0:00:31 time: 0.2632 data_time: 0.0021 memory: 425 2022/08/25 23:44:40 - mmengine - INFO - Epoch(val) [140][385/500] eta: 0:00:31 time: 0.2778 data_time: 0.0026 memory: 425 2022/08/25 23:44:41 - mmengine - INFO - Epoch(val) [140][390/500] eta: 0:00:32 time: 0.2952 data_time: 0.0048 memory: 425 2022/08/25 23:44:43 - mmengine - INFO - Epoch(val) [140][395/500] eta: 0:00:32 time: 0.2840 data_time: 0.0048 memory: 425 2022/08/25 23:44:44 - mmengine - INFO - Epoch(val) [140][400/500] eta: 0:00:27 time: 0.2702 data_time: 0.0067 memory: 425 2022/08/25 23:44:46 - mmengine - INFO - Epoch(val) [140][405/500] eta: 0:00:27 time: 0.3046 data_time: 0.0063 memory: 425 2022/08/25 23:44:47 - mmengine - INFO - Epoch(val) [140][410/500] eta: 0:00:28 time: 0.3167 data_time: 0.0019 memory: 425 2022/08/25 23:44:48 - mmengine - INFO - Epoch(val) [140][415/500] eta: 0:00:28 time: 0.2680 data_time: 0.0018 memory: 425 2022/08/25 23:44:50 - mmengine - INFO - Epoch(val) [140][420/500] eta: 0:00:18 time: 0.2365 data_time: 0.0016 memory: 425 2022/08/25 23:44:53 - mmengine - INFO - Epoch(val) [140][425/500] eta: 0:00:18 time: 0.4782 data_time: 0.0278 memory: 425 2022/08/25 23:44:54 - mmengine - INFO - Epoch(val) [140][430/500] eta: 0:00:34 time: 0.4907 data_time: 0.0299 memory: 425 2022/08/25 23:44:56 - mmengine - INFO - Epoch(val) [140][435/500] eta: 0:00:34 time: 0.2676 data_time: 0.0037 memory: 425 2022/08/25 23:44:57 - mmengine - INFO - Epoch(val) [140][440/500] eta: 0:00:15 time: 0.2628 data_time: 0.0016 memory: 425 2022/08/25 23:44:59 - mmengine - INFO - Epoch(val) [140][445/500] eta: 0:00:15 time: 0.3119 data_time: 0.0018 memory: 425 2022/08/25 23:45:01 - mmengine - INFO - Epoch(val) [140][450/500] eta: 0:00:19 time: 0.3933 data_time: 0.0102 memory: 425 2022/08/25 23:45:02 - mmengine - INFO - Epoch(val) [140][455/500] eta: 0:00:19 time: 0.3665 data_time: 0.0113 memory: 425 2022/08/25 23:45:04 - mmengine - INFO - Epoch(val) [140][460/500] eta: 0:00:10 time: 0.2704 data_time: 0.0030 memory: 425 2022/08/25 23:45:05 - mmengine - INFO - Epoch(val) [140][465/500] eta: 0:00:10 time: 0.2563 data_time: 0.0026 memory: 425 2022/08/25 23:45:07 - mmengine - INFO - Epoch(val) [140][470/500] eta: 0:00:08 time: 0.2813 data_time: 0.0026 memory: 425 2022/08/25 23:45:08 - mmengine - INFO - Epoch(val) [140][475/500] eta: 0:00:08 time: 0.2731 data_time: 0.0017 memory: 425 2022/08/25 23:45:09 - mmengine - INFO - Epoch(val) [140][480/500] eta: 0:00:05 time: 0.2780 data_time: 0.0018 memory: 425 2022/08/25 23:45:12 - mmengine - INFO - Epoch(val) [140][485/500] eta: 0:00:05 time: 0.3755 data_time: 0.0093 memory: 425 2022/08/25 23:45:13 - mmengine - INFO - Epoch(val) [140][490/500] eta: 0:00:03 time: 0.3682 data_time: 0.0110 memory: 425 2022/08/25 23:45:14 - mmengine - INFO - Epoch(val) [140][495/500] eta: 0:00:03 time: 0.2908 data_time: 0.0035 memory: 425 2022/08/25 23:45:16 - mmengine - INFO - Epoch(val) [140][500/500] eta: 0:00:00 time: 0.2697 data_time: 0.0017 memory: 425 2022/08/25 23:45:16 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:45:16 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0005, precision: 0.0000, hmean: 0.0000 2022/08/25 23:45:16 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:45:16 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:45:16 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:45:16 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:45:16 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:45:16 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:45:16 - mmengine - INFO - Epoch(val) [140][500/500] icdar/precision: 0.0000 icdar/recall: 0.0005 icdar/hmean: 0.0000 2022/08/25 23:45:20 - mmengine - INFO - Epoch(train) [141][5/63] lr: 6.2599e-03 eta: 0:00:00 time: 0.6237 data_time: 0.2271 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6672 loss_db: 0.2535 loss: 3.7799 2022/08/25 23:45:22 - mmengine - INFO - Epoch(train) [141][10/63] lr: 6.2599e-03 eta: 7:54:46 time: 0.6211 data_time: 0.2227 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6529 loss_db: 0.2663 loss: 3.7784 2022/08/25 23:45:24 - mmengine - INFO - Epoch(train) [141][15/63] lr: 6.2599e-03 eta: 7:54:46 time: 0.3663 data_time: 0.0206 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6641 loss_db: 0.2501 loss: 3.7725 2022/08/25 23:45:26 - mmengine - INFO - Epoch(train) [141][20/63] lr: 6.2599e-03 eta: 7:54:37 time: 0.3730 data_time: 0.0219 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6714 loss_db: 0.2351 loss: 3.7662 2022/08/25 23:45:28 - mmengine - INFO - Epoch(train) [141][25/63] lr: 6.2599e-03 eta: 7:54:37 time: 0.3827 data_time: 0.0347 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6654 loss_db: 0.2546 loss: 3.7792 2022/08/25 23:45:30 - mmengine - INFO - Epoch(train) [141][30/63] lr: 6.2599e-03 eta: 7:54:29 time: 0.3737 data_time: 0.0322 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6571 loss_db: 0.2519 loss: 3.7669 2022/08/25 23:45:33 - mmengine - INFO - Epoch(train) [141][35/63] lr: 6.2599e-03 eta: 7:54:29 time: 0.5652 data_time: 0.0664 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6576 loss_db: 0.2553 loss: 3.7708 2022/08/25 23:45:35 - mmengine - INFO - Epoch(train) [141][40/63] lr: 6.2599e-03 eta: 7:54:36 time: 0.5715 data_time: 0.0680 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6741 loss_db: 0.2535 loss: 3.7859 2022/08/25 23:45:37 - mmengine - INFO - Epoch(train) [141][45/63] lr: 6.2599e-03 eta: 7:54:36 time: 0.3692 data_time: 0.0225 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6683 loss_db: 0.2535 loss: 3.7810 2022/08/25 23:45:39 - mmengine - INFO - Epoch(train) [141][50/63] lr: 6.2599e-03 eta: 7:54:27 time: 0.3724 data_time: 0.0319 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6671 loss_db: 0.2624 loss: 3.7876 2022/08/25 23:45:41 - mmengine - INFO - Epoch(train) [141][55/63] lr: 6.2599e-03 eta: 7:54:27 time: 0.3873 data_time: 0.0348 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6697 loss_db: 0.2508 loss: 3.7777 2022/08/25 23:45:43 - mmengine - INFO - Epoch(train) [141][60/63] lr: 6.2599e-03 eta: 7:54:21 time: 0.3936 data_time: 0.0275 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6699 loss_db: 0.2529 loss: 3.7807 2022/08/25 23:45:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:45:48 - mmengine - INFO - Epoch(train) [142][5/63] lr: 6.2546e-03 eta: 7:54:21 time: 0.5479 data_time: 0.1644 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6971 loss_db: 0.2733 loss: 3.8289 2022/08/25 23:45:50 - mmengine - INFO - Epoch(train) [142][10/63] lr: 6.2546e-03 eta: 7:54:20 time: 0.6215 data_time: 0.2325 memory: 6760 loss_prob: 2.8558 loss_thr: 0.7206 loss_db: 0.2976 loss: 3.8740 2022/08/25 23:45:52 - mmengine - INFO - Epoch(train) [142][15/63] lr: 6.2546e-03 eta: 7:54:20 time: 0.4697 data_time: 0.1221 memory: 6760 loss_prob: 2.8544 loss_thr: 0.7291 loss_db: 0.3282 loss: 3.9117 2022/08/25 23:45:55 - mmengine - INFO - Epoch(train) [142][20/63] lr: 6.2546e-03 eta: 7:54:17 time: 0.4467 data_time: 0.1014 memory: 6760 loss_prob: 2.8536 loss_thr: 0.6797 loss_db: 0.3000 loss: 3.8333 2022/08/25 23:45:57 - mmengine - INFO - Epoch(train) [142][25/63] lr: 6.2546e-03 eta: 7:54:17 time: 0.4803 data_time: 0.1245 memory: 6760 loss_prob: 2.8549 loss_thr: 0.6612 loss_db: 0.2788 loss: 3.7950 2022/08/25 23:45:59 - mmengine - INFO - Epoch(train) [142][30/63] lr: 6.2546e-03 eta: 7:54:17 time: 0.4772 data_time: 0.1184 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6485 loss_db: 0.2522 loss: 3.7575 2022/08/25 23:46:03 - mmengine - INFO - Epoch(train) [142][35/63] lr: 6.2546e-03 eta: 7:54:17 time: 0.6181 data_time: 0.1016 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6322 loss_db: 0.2275 loss: 3.7178 2022/08/25 23:46:05 - mmengine - INFO - Epoch(train) [142][40/63] lr: 6.2546e-03 eta: 7:54:23 time: 0.5708 data_time: 0.0588 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6892 loss_db: 0.2499 loss: 3.7980 2022/08/25 23:46:07 - mmengine - INFO - Epoch(train) [142][45/63] lr: 6.2546e-03 eta: 7:54:23 time: 0.3707 data_time: 0.0220 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6949 loss_db: 0.2582 loss: 3.8116 2022/08/25 23:46:09 - mmengine - INFO - Epoch(train) [142][50/63] lr: 6.2546e-03 eta: 7:54:15 time: 0.3665 data_time: 0.0270 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6820 loss_db: 0.2714 loss: 3.8121 2022/08/25 23:46:11 - mmengine - INFO - Epoch(train) [142][55/63] lr: 6.2546e-03 eta: 7:54:15 time: 0.4064 data_time: 0.0528 memory: 6760 loss_prob: 2.8614 loss_thr: 0.7054 loss_db: 0.2728 loss: 3.8396 2022/08/25 23:46:13 - mmengine - INFO - Epoch(train) [142][60/63] lr: 6.2546e-03 eta: 7:54:11 time: 0.4316 data_time: 0.0627 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6940 loss_db: 0.2433 loss: 3.7993 2022/08/25 23:46:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:46:18 - mmengine - INFO - Epoch(train) [143][5/63] lr: 6.2493e-03 eta: 7:54:11 time: 0.5346 data_time: 0.1603 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6730 loss_db: 0.2471 loss: 3.7810 2022/08/25 23:46:20 - mmengine - INFO - Epoch(train) [143][10/63] lr: 6.2493e-03 eta: 7:54:05 time: 0.5550 data_time: 0.1696 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6734 loss_db: 0.2480 loss: 3.7823 2022/08/25 23:46:22 - mmengine - INFO - Epoch(train) [143][15/63] lr: 6.2493e-03 eta: 7:54:05 time: 0.4106 data_time: 0.0284 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6728 loss_db: 0.2544 loss: 3.7879 2022/08/25 23:46:24 - mmengine - INFO - Epoch(train) [143][20/63] lr: 6.2493e-03 eta: 7:54:00 time: 0.4172 data_time: 0.0388 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6433 loss_db: 0.2420 loss: 3.7456 2022/08/25 23:46:26 - mmengine - INFO - Epoch(train) [143][25/63] lr: 6.2493e-03 eta: 7:54:00 time: 0.3827 data_time: 0.0355 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6565 loss_db: 0.2351 loss: 3.7524 2022/08/25 23:46:28 - mmengine - INFO - Epoch(train) [143][30/63] lr: 6.2493e-03 eta: 7:53:51 time: 0.3620 data_time: 0.0203 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6729 loss_db: 0.2459 loss: 3.7802 2022/08/25 23:46:29 - mmengine - INFO - Epoch(train) [143][35/63] lr: 6.2493e-03 eta: 7:53:51 time: 0.3661 data_time: 0.0215 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6458 loss_db: 0.2439 loss: 3.7512 2022/08/25 23:46:33 - mmengine - INFO - Epoch(train) [143][40/63] lr: 6.2493e-03 eta: 7:53:56 time: 0.5495 data_time: 0.0234 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6507 loss_db: 0.2471 loss: 3.7606 2022/08/25 23:46:35 - mmengine - INFO - Epoch(train) [143][45/63] lr: 6.2493e-03 eta: 7:53:56 time: 0.5728 data_time: 0.0445 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6762 loss_db: 0.2432 loss: 3.7818 2022/08/25 23:46:37 - mmengine - INFO - Epoch(train) [143][50/63] lr: 6.2493e-03 eta: 7:53:48 time: 0.3842 data_time: 0.0383 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6886 loss_db: 0.2600 loss: 3.8076 2022/08/25 23:46:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:46:39 - mmengine - INFO - Epoch(train) [143][55/63] lr: 6.2493e-03 eta: 7:53:48 time: 0.3686 data_time: 0.0202 memory: 6760 loss_prob: 2.8568 loss_thr: 0.7139 loss_db: 0.2812 loss: 3.8519 2022/08/25 23:46:41 - mmengine - INFO - Epoch(train) [143][60/63] lr: 6.2493e-03 eta: 7:53:41 time: 0.3894 data_time: 0.0286 memory: 6760 loss_prob: 2.8572 loss_thr: 0.7141 loss_db: 0.2626 loss: 3.8338 2022/08/25 23:46:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:46:45 - mmengine - INFO - Epoch(train) [144][5/63] lr: 6.2439e-03 eta: 7:53:41 time: 0.5333 data_time: 0.1748 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6762 loss_db: 0.2573 loss: 3.7915 2022/08/25 23:46:47 - mmengine - INFO - Epoch(train) [144][10/63] lr: 6.2439e-03 eta: 7:53:36 time: 0.5500 data_time: 0.1864 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6648 loss_db: 0.2549 loss: 3.7786 2022/08/25 23:46:49 - mmengine - INFO - Epoch(train) [144][15/63] lr: 6.2439e-03 eta: 7:53:36 time: 0.3915 data_time: 0.0326 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6684 loss_db: 0.2445 loss: 3.7724 2022/08/25 23:46:51 - mmengine - INFO - Epoch(train) [144][20/63] lr: 6.2439e-03 eta: 7:53:30 time: 0.4054 data_time: 0.0196 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6759 loss_db: 0.2388 loss: 3.7735 2022/08/25 23:46:54 - mmengine - INFO - Epoch(train) [144][25/63] lr: 6.2439e-03 eta: 7:53:30 time: 0.4569 data_time: 0.0303 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6675 loss_db: 0.2391 loss: 3.7638 2022/08/25 23:46:55 - mmengine - INFO - Epoch(train) [144][30/63] lr: 6.2439e-03 eta: 7:53:24 time: 0.4061 data_time: 0.0224 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6604 loss_db: 0.2408 loss: 3.7582 2022/08/25 23:46:58 - mmengine - INFO - Epoch(train) [144][35/63] lr: 6.2439e-03 eta: 7:53:24 time: 0.3772 data_time: 0.0317 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6852 loss_db: 0.2530 loss: 3.7961 2022/08/25 23:46:59 - mmengine - INFO - Epoch(train) [144][40/63] lr: 6.2439e-03 eta: 7:53:18 time: 0.3985 data_time: 0.0338 memory: 6760 loss_prob: 2.8595 loss_thr: 0.7126 loss_db: 0.2719 loss: 3.8440 2022/08/25 23:47:02 - mmengine - INFO - Epoch(train) [144][45/63] lr: 6.2439e-03 eta: 7:53:18 time: 0.4312 data_time: 0.0231 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6925 loss_db: 0.2669 loss: 3.8204 2022/08/25 23:47:04 - mmengine - INFO - Epoch(train) [144][50/63] lr: 6.2439e-03 eta: 7:53:18 time: 0.4874 data_time: 0.0819 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6888 loss_db: 0.2786 loss: 3.8303 2022/08/25 23:47:07 - mmengine - INFO - Epoch(train) [144][55/63] lr: 6.2439e-03 eta: 7:53:18 time: 0.4888 data_time: 0.1195 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6776 loss_db: 0.2737 loss: 3.8134 2022/08/25 23:47:10 - mmengine - INFO - Epoch(train) [144][60/63] lr: 6.2439e-03 eta: 7:53:23 time: 0.5527 data_time: 0.1942 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6670 loss_db: 0.2545 loss: 3.7809 2022/08/25 23:47:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:47:16 - mmengine - INFO - Epoch(train) [145][5/63] lr: 6.2386e-03 eta: 7:53:23 time: 0.7224 data_time: 0.2761 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6787 loss_db: 0.2503 loss: 3.7885 2022/08/25 23:47:18 - mmengine - INFO - Epoch(train) [145][10/63] lr: 6.2386e-03 eta: 7:53:19 time: 0.5852 data_time: 0.2080 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6757 loss_db: 0.2571 loss: 3.7915 2022/08/25 23:47:20 - mmengine - INFO - Epoch(train) [145][15/63] lr: 6.2386e-03 eta: 7:53:19 time: 0.4022 data_time: 0.0350 memory: 6760 loss_prob: 2.8564 loss_thr: 0.6591 loss_db: 0.2649 loss: 3.7804 2022/08/25 23:47:22 - mmengine - INFO - Epoch(train) [145][20/63] lr: 6.2386e-03 eta: 7:53:12 time: 0.3883 data_time: 0.0322 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6602 loss_db: 0.2446 loss: 3.7621 2022/08/25 23:47:24 - mmengine - INFO - Epoch(train) [145][25/63] lr: 6.2386e-03 eta: 7:53:12 time: 0.3704 data_time: 0.0253 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6730 loss_db: 0.2381 loss: 3.7698 2022/08/25 23:47:26 - mmengine - INFO - Epoch(train) [145][30/63] lr: 6.2386e-03 eta: 7:53:04 time: 0.3722 data_time: 0.0242 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6797 loss_db: 0.2559 loss: 3.7942 2022/08/25 23:47:28 - mmengine - INFO - Epoch(train) [145][35/63] lr: 6.2386e-03 eta: 7:53:04 time: 0.3830 data_time: 0.0237 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6544 loss_db: 0.2343 loss: 3.7467 2022/08/25 23:47:30 - mmengine - INFO - Epoch(train) [145][40/63] lr: 6.2386e-03 eta: 7:52:56 time: 0.3746 data_time: 0.0207 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6584 loss_db: 0.2480 loss: 3.7650 2022/08/25 23:47:33 - mmengine - INFO - Epoch(train) [145][45/63] lr: 6.2386e-03 eta: 7:52:56 time: 0.4910 data_time: 0.0395 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6583 loss_db: 0.2489 loss: 3.7672 2022/08/25 23:47:35 - mmengine - INFO - Epoch(train) [145][50/63] lr: 6.2386e-03 eta: 7:52:57 time: 0.4945 data_time: 0.0412 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6520 loss_db: 0.2398 loss: 3.7511 2022/08/25 23:47:37 - mmengine - INFO - Epoch(train) [145][55/63] lr: 6.2386e-03 eta: 7:52:57 time: 0.3782 data_time: 0.0232 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6657 loss_db: 0.2475 loss: 3.7732 2022/08/25 23:47:38 - mmengine - INFO - Epoch(train) [145][60/63] lr: 6.2386e-03 eta: 7:52:48 time: 0.3709 data_time: 0.0217 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6430 loss_db: 0.2495 loss: 3.7547 2022/08/25 23:47:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:47:43 - mmengine - INFO - Epoch(train) [146][5/63] lr: 6.2333e-03 eta: 7:52:48 time: 0.5647 data_time: 0.2167 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6449 loss_db: 0.2480 loss: 3.7545 2022/08/25 23:47:45 - mmengine - INFO - Epoch(train) [146][10/63] lr: 6.2333e-03 eta: 7:52:46 time: 0.6053 data_time: 0.2360 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6549 loss_db: 0.2335 loss: 3.7493 2022/08/25 23:47:47 - mmengine - INFO - Epoch(train) [146][15/63] lr: 6.2333e-03 eta: 7:52:46 time: 0.3927 data_time: 0.0343 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6737 loss_db: 0.2410 loss: 3.7742 2022/08/25 23:47:49 - mmengine - INFO - Epoch(train) [146][20/63] lr: 6.2333e-03 eta: 7:52:38 time: 0.3726 data_time: 0.0191 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6852 loss_db: 0.2602 loss: 3.8024 2022/08/25 23:47:52 - mmengine - INFO - Epoch(train) [146][25/63] lr: 6.2333e-03 eta: 7:52:38 time: 0.5083 data_time: 0.0279 memory: 6760 loss_prob: 2.8564 loss_thr: 0.6982 loss_db: 0.2725 loss: 3.8271 2022/08/25 23:47:54 - mmengine - INFO - Epoch(train) [146][30/63] lr: 6.2333e-03 eta: 7:52:40 time: 0.5101 data_time: 0.0276 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6869 loss_db: 0.2711 loss: 3.8150 2022/08/25 23:47:56 - mmengine - INFO - Epoch(train) [146][35/63] lr: 6.2333e-03 eta: 7:52:40 time: 0.3883 data_time: 0.0374 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6561 loss_db: 0.2553 loss: 3.7699 2022/08/25 23:47:58 - mmengine - INFO - Epoch(train) [146][40/63] lr: 6.2333e-03 eta: 7:52:32 time: 0.3750 data_time: 0.0340 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6529 loss_db: 0.2523 loss: 3.7639 2022/08/25 23:48:00 - mmengine - INFO - Epoch(train) [146][45/63] lr: 6.2333e-03 eta: 7:52:32 time: 0.3630 data_time: 0.0215 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6478 loss_db: 0.2546 loss: 3.7587 2022/08/25 23:48:02 - mmengine - INFO - Epoch(train) [146][50/63] lr: 6.2333e-03 eta: 7:52:25 time: 0.3908 data_time: 0.0412 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6773 loss_db: 0.2649 loss: 3.7997 2022/08/25 23:48:04 - mmengine - INFO - Epoch(train) [146][55/63] lr: 6.2333e-03 eta: 7:52:25 time: 0.4408 data_time: 0.0588 memory: 6760 loss_prob: 2.8588 loss_thr: 0.7029 loss_db: 0.2693 loss: 3.8310 2022/08/25 23:48:06 - mmengine - INFO - Epoch(train) [146][60/63] lr: 6.2333e-03 eta: 7:52:21 time: 0.4332 data_time: 0.0532 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6603 loss_db: 0.2432 loss: 3.7612 2022/08/25 23:48:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:48:11 - mmengine - INFO - Epoch(train) [147][5/63] lr: 6.2280e-03 eta: 7:52:21 time: 0.5168 data_time: 0.1478 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6622 loss_db: 0.2560 loss: 3.7769 2022/08/25 23:48:13 - mmengine - INFO - Epoch(train) [147][10/63] lr: 6.2280e-03 eta: 7:52:15 time: 0.5400 data_time: 0.1546 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6949 loss_db: 0.2671 loss: 3.8221 2022/08/25 23:48:15 - mmengine - INFO - Epoch(train) [147][15/63] lr: 6.2280e-03 eta: 7:52:15 time: 0.3810 data_time: 0.0236 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6661 loss_db: 0.2491 loss: 3.7741 2022/08/25 23:48:17 - mmengine - INFO - Epoch(train) [147][20/63] lr: 6.2280e-03 eta: 7:52:08 time: 0.3897 data_time: 0.0325 memory: 6760 loss_prob: 2.8580 loss_thr: 0.7113 loss_db: 0.2806 loss: 3.8498 2022/08/25 23:48:20 - mmengine - INFO - Epoch(train) [147][25/63] lr: 6.2280e-03 eta: 7:52:08 time: 0.5232 data_time: 0.0788 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7102 loss_db: 0.2943 loss: 3.8621 2022/08/25 23:48:22 - mmengine - INFO - Epoch(train) [147][30/63] lr: 6.2280e-03 eta: 7:52:12 time: 0.5403 data_time: 0.0722 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6608 loss_db: 0.2706 loss: 3.7897 2022/08/25 23:48:24 - mmengine - INFO - Epoch(train) [147][35/63] lr: 6.2280e-03 eta: 7:52:12 time: 0.4106 data_time: 0.0290 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6904 loss_db: 0.2523 loss: 3.8026 2022/08/25 23:48:26 - mmengine - INFO - Epoch(train) [147][40/63] lr: 6.2280e-03 eta: 7:52:03 time: 0.3719 data_time: 0.0188 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6668 loss_db: 0.2565 loss: 3.7808 2022/08/25 23:48:28 - mmengine - INFO - Epoch(train) [147][45/63] lr: 6.2280e-03 eta: 7:52:03 time: 0.3675 data_time: 0.0215 memory: 6760 loss_prob: 2.8557 loss_thr: 0.6630 loss_db: 0.2753 loss: 3.7940 2022/08/25 23:48:29 - mmengine - INFO - Epoch(train) [147][50/63] lr: 6.2280e-03 eta: 7:51:56 time: 0.3797 data_time: 0.0242 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6681 loss_db: 0.2621 loss: 3.7855 2022/08/25 23:48:33 - mmengine - INFO - Epoch(train) [147][55/63] lr: 6.2280e-03 eta: 7:51:56 time: 0.5707 data_time: 0.0371 memory: 6760 loss_prob: 2.8545 loss_thr: 0.6866 loss_db: 0.2796 loss: 3.8207 2022/08/25 23:48:35 - mmengine - INFO - Epoch(train) [147][60/63] lr: 6.2280e-03 eta: 7:52:02 time: 0.5701 data_time: 0.0426 memory: 6760 loss_prob: 2.8593 loss_thr: 0.7072 loss_db: 0.2759 loss: 3.8423 2022/08/25 23:48:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:48:40 - mmengine - INFO - Epoch(train) [148][5/63] lr: 6.2227e-03 eta: 7:52:02 time: 0.5273 data_time: 0.1789 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6821 loss_db: 0.2620 loss: 3.8006 2022/08/25 23:48:42 - mmengine - INFO - Epoch(train) [148][10/63] lr: 6.2227e-03 eta: 7:51:56 time: 0.5534 data_time: 0.1903 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7142 loss_db: 0.2740 loss: 3.8448 2022/08/25 23:48:44 - mmengine - INFO - Epoch(train) [148][15/63] lr: 6.2227e-03 eta: 7:51:56 time: 0.3809 data_time: 0.0250 memory: 6760 loss_prob: 2.8560 loss_thr: 0.6940 loss_db: 0.2547 loss: 3.8047 2022/08/25 23:48:46 - mmengine - INFO - Epoch(train) [148][20/63] lr: 6.2227e-03 eta: 7:51:49 time: 0.3851 data_time: 0.0197 memory: 6760 loss_prob: 2.8539 loss_thr: 0.6705 loss_db: 0.2613 loss: 3.7857 2022/08/25 23:48:47 - mmengine - INFO - Epoch(train) [148][25/63] lr: 6.2227e-03 eta: 7:51:49 time: 0.3929 data_time: 0.0207 memory: 6760 loss_prob: 2.8545 loss_thr: 0.7007 loss_db: 0.2609 loss: 3.8161 2022/08/25 23:48:49 - mmengine - INFO - Epoch(train) [148][30/63] lr: 6.2227e-03 eta: 7:51:41 time: 0.3782 data_time: 0.0168 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6969 loss_db: 0.2509 loss: 3.8039 2022/08/25 23:48:53 - mmengine - INFO - Epoch(train) [148][35/63] lr: 6.2227e-03 eta: 7:51:41 time: 0.5594 data_time: 0.0222 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6653 loss_db: 0.2305 loss: 3.7529 2022/08/25 23:48:55 - mmengine - INFO - Epoch(train) [148][40/63] lr: 6.2227e-03 eta: 7:51:47 time: 0.5658 data_time: 0.0301 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6559 loss_db: 0.2345 loss: 3.7494 2022/08/25 23:48:57 - mmengine - INFO - Epoch(train) [148][45/63] lr: 6.2227e-03 eta: 7:51:47 time: 0.3730 data_time: 0.0271 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6396 loss_db: 0.2480 loss: 3.7479 2022/08/25 23:48:59 - mmengine - INFO - Epoch(train) [148][50/63] lr: 6.2227e-03 eta: 7:51:38 time: 0.3659 data_time: 0.0198 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6633 loss_db: 0.2490 loss: 3.7737 2022/08/25 23:49:01 - mmengine - INFO - Epoch(train) [148][55/63] lr: 6.2227e-03 eta: 7:51:38 time: 0.3871 data_time: 0.0195 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6720 loss_db: 0.2372 loss: 3.7690 2022/08/25 23:49:03 - mmengine - INFO - Epoch(train) [148][60/63] lr: 6.2227e-03 eta: 7:51:31 time: 0.3916 data_time: 0.0256 memory: 6760 loss_prob: 2.8564 loss_thr: 0.6479 loss_db: 0.2397 loss: 3.7440 2022/08/25 23:49:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:49:07 - mmengine - INFO - Epoch(train) [149][5/63] lr: 6.2173e-03 eta: 7:51:31 time: 0.5013 data_time: 0.1586 memory: 6760 loss_prob: 2.8564 loss_thr: 0.6456 loss_db: 0.2383 loss: 3.7403 2022/08/25 23:49:09 - mmengine - INFO - Epoch(train) [149][10/63] lr: 6.2173e-03 eta: 7:51:23 time: 0.5167 data_time: 0.1675 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6652 loss_db: 0.2587 loss: 3.7814 2022/08/25 23:49:11 - mmengine - INFO - Epoch(train) [149][15/63] lr: 6.2173e-03 eta: 7:51:23 time: 0.4225 data_time: 0.0401 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6881 loss_db: 0.2680 loss: 3.8135 2022/08/25 23:49:13 - mmengine - INFO - Epoch(train) [149][20/63] lr: 6.2173e-03 eta: 7:51:18 time: 0.4207 data_time: 0.0360 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6846 loss_db: 0.2514 loss: 3.7931 2022/08/25 23:49:15 - mmengine - INFO - Epoch(train) [149][25/63] lr: 6.2173e-03 eta: 7:51:18 time: 0.3690 data_time: 0.0216 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6849 loss_db: 0.2407 loss: 3.7843 2022/08/25 23:49:17 - mmengine - INFO - Epoch(train) [149][30/63] lr: 6.2173e-03 eta: 7:51:10 time: 0.3702 data_time: 0.0178 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6761 loss_db: 0.2406 loss: 3.7768 2022/08/25 23:49:19 - mmengine - INFO - Epoch(train) [149][35/63] lr: 6.2173e-03 eta: 7:51:10 time: 0.3710 data_time: 0.0171 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6764 loss_db: 0.2511 loss: 3.7881 2022/08/25 23:49:21 - mmengine - INFO - Epoch(train) [149][40/63] lr: 6.2173e-03 eta: 7:51:09 time: 0.4765 data_time: 0.0249 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6699 loss_db: 0.2670 loss: 3.7977 2022/08/25 23:49:24 - mmengine - INFO - Epoch(train) [149][45/63] lr: 6.2173e-03 eta: 7:51:09 time: 0.5104 data_time: 0.0293 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6656 loss_db: 0.2487 loss: 3.7747 2022/08/25 23:49:26 - mmengine - INFO - Epoch(train) [149][50/63] lr: 6.2173e-03 eta: 7:51:09 time: 0.4779 data_time: 0.0917 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6583 loss_db: 0.2435 loss: 3.7617 2022/08/25 23:49:28 - mmengine - INFO - Epoch(train) [149][55/63] lr: 6.2173e-03 eta: 7:51:09 time: 0.4625 data_time: 0.0900 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6653 loss_db: 0.2519 loss: 3.7754 2022/08/25 23:49:30 - mmengine - INFO - Epoch(train) [149][60/63] lr: 6.2173e-03 eta: 7:51:01 time: 0.3844 data_time: 0.0220 memory: 6760 loss_prob: 2.8576 loss_thr: 0.7165 loss_db: 0.2648 loss: 3.8389 2022/08/25 23:49:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:49:34 - mmengine - INFO - Epoch(train) [150][5/63] lr: 6.2120e-03 eta: 7:51:01 time: 0.4897 data_time: 0.1453 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6751 loss_db: 0.2768 loss: 3.8103 2022/08/25 23:49:36 - mmengine - INFO - Epoch(train) [150][10/63] lr: 6.2120e-03 eta: 7:50:53 time: 0.5085 data_time: 0.1472 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6584 loss_db: 0.2606 loss: 3.7770 2022/08/25 23:49:38 - mmengine - INFO - Epoch(train) [150][15/63] lr: 6.2120e-03 eta: 7:50:53 time: 0.3946 data_time: 0.0232 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6384 loss_db: 0.2307 loss: 3.7277 2022/08/25 23:49:40 - mmengine - INFO - Epoch(train) [150][20/63] lr: 6.2120e-03 eta: 7:50:46 time: 0.3951 data_time: 0.0212 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6416 loss_db: 0.2527 loss: 3.7523 2022/08/25 23:49:43 - mmengine - INFO - Epoch(train) [150][25/63] lr: 6.2120e-03 eta: 7:50:46 time: 0.4538 data_time: 0.0413 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6784 loss_db: 0.2635 loss: 3.7999 2022/08/25 23:49:45 - mmengine - INFO - Epoch(train) [150][30/63] lr: 6.2120e-03 eta: 7:50:45 time: 0.4749 data_time: 0.0380 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6799 loss_db: 0.2499 loss: 3.7879 2022/08/25 23:49:47 - mmengine - INFO - Epoch(train) [150][35/63] lr: 6.2120e-03 eta: 7:50:45 time: 0.4006 data_time: 0.0214 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6646 loss_db: 0.2452 loss: 3.7673 2022/08/25 23:49:49 - mmengine - INFO - Epoch(train) [150][40/63] lr: 6.2120e-03 eta: 7:50:38 time: 0.3854 data_time: 0.0207 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6734 loss_db: 0.2593 loss: 3.7903 2022/08/25 23:49:51 - mmengine - INFO - Epoch(train) [150][45/63] lr: 6.2120e-03 eta: 7:50:38 time: 0.3912 data_time: 0.0180 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6577 loss_db: 0.2525 loss: 3.7671 2022/08/25 23:49:53 - mmengine - INFO - Epoch(train) [150][50/63] lr: 6.2120e-03 eta: 7:50:31 time: 0.3838 data_time: 0.0263 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6541 loss_db: 0.2601 loss: 3.7721 2022/08/25 23:49:54 - mmengine - INFO - Epoch(train) [150][55/63] lr: 6.2120e-03 eta: 7:50:31 time: 0.3716 data_time: 0.0267 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6553 loss_db: 0.2564 loss: 3.7716 2022/08/25 23:49:56 - mmengine - INFO - Epoch(train) [150][60/63] lr: 6.2120e-03 eta: 7:50:22 time: 0.3682 data_time: 0.0170 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6655 loss_db: 0.2447 loss: 3.7691 2022/08/25 23:49:57 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:50:01 - mmengine - INFO - Epoch(train) [151][5/63] lr: 6.2067e-03 eta: 7:50:22 time: 0.5815 data_time: 0.1466 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6598 loss_db: 0.2311 loss: 3.7496 2022/08/25 23:50:04 - mmengine - INFO - Epoch(train) [151][10/63] lr: 6.2067e-03 eta: 7:50:23 time: 0.6357 data_time: 0.1656 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6505 loss_db: 0.2450 loss: 3.7544 2022/08/25 23:50:06 - mmengine - INFO - Epoch(train) [151][15/63] lr: 6.2067e-03 eta: 7:50:23 time: 0.4151 data_time: 0.0347 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6413 loss_db: 0.2472 loss: 3.7475 2022/08/25 23:50:07 - mmengine - INFO - Epoch(train) [151][20/63] lr: 6.2067e-03 eta: 7:50:14 time: 0.3707 data_time: 0.0154 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6634 loss_db: 0.2565 loss: 3.7785 2022/08/25 23:50:09 - mmengine - INFO - Epoch(train) [151][25/63] lr: 6.2067e-03 eta: 7:50:14 time: 0.3729 data_time: 0.0207 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6813 loss_db: 0.2572 loss: 3.7972 2022/08/25 23:50:11 - mmengine - INFO - Epoch(train) [151][30/63] lr: 6.2067e-03 eta: 7:50:09 time: 0.4116 data_time: 0.0211 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6771 loss_db: 0.2456 loss: 3.7822 2022/08/25 23:50:13 - mmengine - INFO - Epoch(train) [151][35/63] lr: 6.2067e-03 eta: 7:50:09 time: 0.4116 data_time: 0.0208 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6511 loss_db: 0.2324 loss: 3.7430 2022/08/25 23:50:15 - mmengine - INFO - Epoch(train) [151][40/63] lr: 6.2067e-03 eta: 7:50:01 time: 0.3757 data_time: 0.0232 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6489 loss_db: 0.2340 loss: 3.7414 2022/08/25 23:50:17 - mmengine - INFO - Epoch(train) [151][45/63] lr: 6.2067e-03 eta: 7:50:01 time: 0.3795 data_time: 0.0231 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6583 loss_db: 0.2469 loss: 3.7632 2022/08/25 23:50:19 - mmengine - INFO - Epoch(train) [151][50/63] lr: 6.2067e-03 eta: 7:49:53 time: 0.3701 data_time: 0.0209 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6439 loss_db: 0.2422 loss: 3.7441 2022/08/25 23:50:22 - mmengine - INFO - Epoch(train) [151][55/63] lr: 6.2067e-03 eta: 7:49:53 time: 0.4777 data_time: 0.0274 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6417 loss_db: 0.2411 loss: 3.7420 2022/08/25 23:50:24 - mmengine - INFO - Epoch(train) [151][60/63] lr: 6.2067e-03 eta: 7:49:54 time: 0.5030 data_time: 0.0377 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6498 loss_db: 0.2387 loss: 3.7508 2022/08/25 23:50:25 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:50:29 - mmengine - INFO - Epoch(train) [152][5/63] lr: 6.2014e-03 eta: 7:49:54 time: 0.5311 data_time: 0.1795 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6843 loss_db: 0.2424 loss: 3.7882 2022/08/25 23:50:30 - mmengine - INFO - Epoch(train) [152][10/63] lr: 6.2014e-03 eta: 7:49:48 time: 0.5455 data_time: 0.1890 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6885 loss_db: 0.2445 loss: 3.7957 2022/08/25 23:50:32 - mmengine - INFO - Epoch(train) [152][15/63] lr: 6.2014e-03 eta: 7:49:48 time: 0.3737 data_time: 0.0235 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6936 loss_db: 0.2502 loss: 3.8067 2022/08/25 23:50:34 - mmengine - INFO - Epoch(train) [152][20/63] lr: 6.2014e-03 eta: 7:49:40 time: 0.3797 data_time: 0.0242 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6767 loss_db: 0.2452 loss: 3.7838 2022/08/25 23:50:36 - mmengine - INFO - Epoch(train) [152][25/63] lr: 6.2014e-03 eta: 7:49:40 time: 0.3792 data_time: 0.0235 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6573 loss_db: 0.2498 loss: 3.7671 2022/08/25 23:50:38 - mmengine - INFO - Epoch(train) [152][30/63] lr: 6.2014e-03 eta: 7:49:32 time: 0.3659 data_time: 0.0178 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6564 loss_db: 0.2519 loss: 3.7675 2022/08/25 23:50:40 - mmengine - INFO - Epoch(train) [152][35/63] lr: 6.2014e-03 eta: 7:49:32 time: 0.3795 data_time: 0.0234 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6439 loss_db: 0.2317 loss: 3.7360 2022/08/25 23:50:43 - mmengine - INFO - Epoch(train) [152][40/63] lr: 6.2014e-03 eta: 7:49:36 time: 0.5469 data_time: 0.0208 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6525 loss_db: 0.2293 loss: 3.7421 2022/08/25 23:50:45 - mmengine - INFO - Epoch(train) [152][45/63] lr: 6.2014e-03 eta: 7:49:36 time: 0.5465 data_time: 0.0234 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6390 loss_db: 0.2464 loss: 3.7454 2022/08/25 23:50:47 - mmengine - INFO - Epoch(train) [152][50/63] lr: 6.2014e-03 eta: 7:49:29 time: 0.3830 data_time: 0.0261 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6417 loss_db: 0.2451 loss: 3.7482 2022/08/25 23:50:49 - mmengine - INFO - Epoch(train) [152][55/63] lr: 6.2014e-03 eta: 7:49:29 time: 0.3662 data_time: 0.0168 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6631 loss_db: 0.2351 loss: 3.7600 2022/08/25 23:50:51 - mmengine - INFO - Epoch(train) [152][60/63] lr: 6.2014e-03 eta: 7:49:22 time: 0.3874 data_time: 0.0179 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6278 loss_db: 0.2383 loss: 3.7269 2022/08/25 23:50:52 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:50:55 - mmengine - INFO - Epoch(train) [153][5/63] lr: 6.1960e-03 eta: 7:49:22 time: 0.5223 data_time: 0.1554 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6154 loss_db: 0.2267 loss: 3.7031 2022/08/25 23:50:57 - mmengine - INFO - Epoch(train) [153][10/63] lr: 6.1960e-03 eta: 7:49:14 time: 0.5281 data_time: 0.1657 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6567 loss_db: 0.2352 loss: 3.7530 2022/08/25 23:50:59 - mmengine - INFO - Epoch(train) [153][15/63] lr: 6.1960e-03 eta: 7:49:14 time: 0.3801 data_time: 0.0268 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6328 loss_db: 0.2380 loss: 3.7307 2022/08/25 23:51:03 - mmengine - INFO - Epoch(train) [153][20/63] lr: 6.1960e-03 eta: 7:49:16 time: 0.5117 data_time: 0.0191 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6742 loss_db: 0.2461 loss: 3.7797 2022/08/25 23:51:05 - mmengine - INFO - Epoch(train) [153][25/63] lr: 6.1960e-03 eta: 7:49:16 time: 0.5564 data_time: 0.0251 memory: 6760 loss_prob: 2.8594 loss_thr: 0.7100 loss_db: 0.2565 loss: 3.8259 2022/08/25 23:51:07 - mmengine - INFO - Epoch(train) [153][30/63] lr: 6.1960e-03 eta: 7:49:11 time: 0.4178 data_time: 0.0209 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6685 loss_db: 0.2454 loss: 3.7742 2022/08/25 23:51:09 - mmengine - INFO - Epoch(train) [153][35/63] lr: 6.1960e-03 eta: 7:49:11 time: 0.3912 data_time: 0.0270 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6523 loss_db: 0.2473 loss: 3.7610 2022/08/25 23:51:11 - mmengine - INFO - Epoch(train) [153][40/63] lr: 6.1960e-03 eta: 7:49:04 time: 0.3831 data_time: 0.0230 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6488 loss_db: 0.2432 loss: 3.7529 2022/08/25 23:51:12 - mmengine - INFO - Epoch(train) [153][45/63] lr: 6.1960e-03 eta: 7:49:04 time: 0.3725 data_time: 0.0157 memory: 6760 loss_prob: 2.8643 loss_thr: 0.6854 loss_db: 0.2456 loss: 3.7954 2022/08/25 23:51:14 - mmengine - INFO - Epoch(train) [153][50/63] lr: 6.1960e-03 eta: 7:48:56 time: 0.3811 data_time: 0.0211 memory: 6760 loss_prob: 2.8747 loss_thr: 0.7141 loss_db: 0.2722 loss: 3.8610 2022/08/25 23:51:16 - mmengine - INFO - Epoch(train) [153][55/63] lr: 6.1960e-03 eta: 7:48:56 time: 0.3755 data_time: 0.0173 memory: 6760 loss_prob: 2.8704 loss_thr: 0.6603 loss_db: 0.2628 loss: 3.7935 2022/08/25 23:51:18 - mmengine - INFO - Epoch(train) [153][60/63] lr: 6.1960e-03 eta: 7:48:48 time: 0.3659 data_time: 0.0179 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6548 loss_db: 0.2351 loss: 3.7493 2022/08/25 23:51:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:51:24 - mmengine - INFO - Epoch(train) [154][5/63] lr: 6.1907e-03 eta: 7:48:48 time: 0.6234 data_time: 0.1537 memory: 6760 loss_prob: 2.8564 loss_thr: 0.6902 loss_db: 0.2658 loss: 3.8123 2022/08/25 23:51:26 - mmengine - INFO - Epoch(train) [154][10/63] lr: 6.1907e-03 eta: 7:48:49 time: 0.6420 data_time: 0.1628 memory: 6760 loss_prob: 2.8552 loss_thr: 0.6701 loss_db: 0.2329 loss: 3.7581 2022/08/25 23:51:27 - mmengine - INFO - Epoch(train) [154][15/63] lr: 6.1907e-03 eta: 7:48:49 time: 0.3760 data_time: 0.0253 memory: 6760 loss_prob: 2.8556 loss_thr: 0.6712 loss_db: 0.2278 loss: 3.7545 2022/08/25 23:51:29 - mmengine - INFO - Epoch(train) [154][20/63] lr: 6.1907e-03 eta: 7:48:41 time: 0.3815 data_time: 0.0168 memory: 6760 loss_prob: 2.8562 loss_thr: 0.6852 loss_db: 0.2438 loss: 3.7852 2022/08/25 23:51:32 - mmengine - INFO - Epoch(train) [154][25/63] lr: 6.1907e-03 eta: 7:48:41 time: 0.4681 data_time: 0.0311 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6825 loss_db: 0.2421 loss: 3.7814 2022/08/25 23:51:34 - mmengine - INFO - Epoch(train) [154][30/63] lr: 6.1907e-03 eta: 7:48:39 time: 0.4512 data_time: 0.0298 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6639 loss_db: 0.2549 loss: 3.7762 2022/08/25 23:51:36 - mmengine - INFO - Epoch(train) [154][35/63] lr: 6.1907e-03 eta: 7:48:39 time: 0.3820 data_time: 0.0226 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6625 loss_db: 0.2652 loss: 3.7859 2022/08/25 23:51:38 - mmengine - INFO - Epoch(train) [154][40/63] lr: 6.1907e-03 eta: 7:48:31 time: 0.3816 data_time: 0.0174 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6807 loss_db: 0.2404 loss: 3.7805 2022/08/25 23:51:40 - mmengine - INFO - Epoch(train) [154][45/63] lr: 6.1907e-03 eta: 7:48:31 time: 0.3707 data_time: 0.0172 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6685 loss_db: 0.2342 loss: 3.7624 2022/08/25 23:51:42 - mmengine - INFO - Epoch(train) [154][50/63] lr: 6.1907e-03 eta: 7:48:28 time: 0.4396 data_time: 0.0373 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6804 loss_db: 0.2520 loss: 3.7918 2022/08/25 23:51:44 - mmengine - INFO - Epoch(train) [154][55/63] lr: 6.1907e-03 eta: 7:48:28 time: 0.4747 data_time: 0.0433 memory: 6760 loss_prob: 2.8574 loss_thr: 0.7076 loss_db: 0.2625 loss: 3.8275 2022/08/25 23:51:46 - mmengine - INFO - Epoch(train) [154][60/63] lr: 6.1907e-03 eta: 7:48:22 time: 0.4053 data_time: 0.0287 memory: 6760 loss_prob: 2.8547 loss_thr: 0.6808 loss_db: 0.2754 loss: 3.8109 2022/08/25 23:51:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:51:50 - mmengine - INFO - Epoch(train) [155][5/63] lr: 6.1854e-03 eta: 7:48:22 time: 0.4980 data_time: 0.1454 memory: 6760 loss_prob: 2.8556 loss_thr: 0.6453 loss_db: 0.2660 loss: 3.7670 2022/08/25 23:51:53 - mmengine - INFO - Epoch(train) [155][10/63] lr: 6.1854e-03 eta: 7:48:17 time: 0.5587 data_time: 0.1633 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6619 loss_db: 0.2539 loss: 3.7748 2022/08/25 23:51:55 - mmengine - INFO - Epoch(train) [155][15/63] lr: 6.1854e-03 eta: 7:48:17 time: 0.4114 data_time: 0.0253 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6650 loss_db: 0.2568 loss: 3.7804 2022/08/25 23:51:56 - mmengine - INFO - Epoch(train) [155][20/63] lr: 6.1854e-03 eta: 7:48:09 time: 0.3672 data_time: 0.0170 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6597 loss_db: 0.2680 loss: 3.7838 2022/08/25 23:51:58 - mmengine - INFO - Epoch(train) [155][25/63] lr: 6.1854e-03 eta: 7:48:09 time: 0.3824 data_time: 0.0267 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6807 loss_db: 0.2642 loss: 3.8022 2022/08/25 23:52:00 - mmengine - INFO - Epoch(train) [155][30/63] lr: 6.1854e-03 eta: 7:48:01 time: 0.3691 data_time: 0.0175 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6688 loss_db: 0.2508 loss: 3.7770 2022/08/25 23:52:03 - mmengine - INFO - Epoch(train) [155][35/63] lr: 6.1854e-03 eta: 7:48:01 time: 0.4419 data_time: 0.0181 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6752 loss_db: 0.2922 loss: 3.8250 2022/08/25 23:52:05 - mmengine - INFO - Epoch(train) [155][40/63] lr: 6.1854e-03 eta: 7:47:58 time: 0.4554 data_time: 0.0267 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6894 loss_db: 0.2794 loss: 3.8277 2022/08/25 23:52:07 - mmengine - INFO - Epoch(train) [155][45/63] lr: 6.1854e-03 eta: 7:47:58 time: 0.3832 data_time: 0.0223 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6725 loss_db: 0.2438 loss: 3.7728 2022/08/25 23:52:08 - mmengine - INFO - Epoch(train) [155][50/63] lr: 6.1854e-03 eta: 7:47:51 time: 0.3758 data_time: 0.0220 memory: 6760 loss_prob: 2.8533 loss_thr: 0.6608 loss_db: 0.2609 loss: 3.7750 2022/08/25 23:52:10 - mmengine - INFO - Epoch(train) [155][55/63] lr: 6.1854e-03 eta: 7:47:51 time: 0.3716 data_time: 0.0188 memory: 6760 loss_prob: 2.8542 loss_thr: 0.6691 loss_db: 0.2662 loss: 3.7895 2022/08/25 23:52:13 - mmengine - INFO - Epoch(train) [155][60/63] lr: 6.1854e-03 eta: 7:47:46 time: 0.4255 data_time: 0.0261 memory: 6760 loss_prob: 2.8573 loss_thr: 0.7058 loss_db: 0.2761 loss: 3.8392 2022/08/25 23:52:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:52:17 - mmengine - INFO - Epoch(train) [156][5/63] lr: 6.1801e-03 eta: 7:47:46 time: 0.5446 data_time: 0.1841 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6952 loss_db: 0.2645 loss: 3.8178 2022/08/25 23:52:19 - mmengine - INFO - Epoch(train) [156][10/63] lr: 6.1801e-03 eta: 7:47:39 time: 0.5215 data_time: 0.1778 memory: 6760 loss_prob: 2.8562 loss_thr: 0.6918 loss_db: 0.2624 loss: 3.8103 2022/08/25 23:52:21 - mmengine - INFO - Epoch(train) [156][15/63] lr: 6.1801e-03 eta: 7:47:39 time: 0.3867 data_time: 0.0225 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6511 loss_db: 0.2477 loss: 3.7560 2022/08/25 23:52:23 - mmengine - INFO - Epoch(train) [156][20/63] lr: 6.1801e-03 eta: 7:47:31 time: 0.3840 data_time: 0.0189 memory: 6760 loss_prob: 2.8634 loss_thr: 0.6793 loss_db: 0.2631 loss: 3.8058 2022/08/25 23:52:25 - mmengine - INFO - Epoch(train) [156][25/63] lr: 6.1801e-03 eta: 7:47:31 time: 0.3649 data_time: 0.0198 memory: 6760 loss_prob: 2.8641 loss_thr: 0.6925 loss_db: 0.2461 loss: 3.8028 2022/08/25 23:52:27 - mmengine - INFO - Epoch(train) [156][30/63] lr: 6.1801e-03 eta: 7:47:23 time: 0.3656 data_time: 0.0192 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6592 loss_db: 0.2410 loss: 3.7592 2022/08/25 23:52:29 - mmengine - INFO - Epoch(train) [156][35/63] lr: 6.1801e-03 eta: 7:47:23 time: 0.3715 data_time: 0.0183 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6642 loss_db: 0.2573 loss: 3.7801 2022/08/25 23:52:31 - mmengine - INFO - Epoch(train) [156][40/63] lr: 6.1801e-03 eta: 7:47:15 time: 0.3753 data_time: 0.0207 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6550 loss_db: 0.2277 loss: 3.7416 2022/08/25 23:52:35 - mmengine - INFO - Epoch(train) [156][45/63] lr: 6.1801e-03 eta: 7:47:15 time: 0.6121 data_time: 0.0629 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6428 loss_db: 0.2051 loss: 3.7062 2022/08/25 23:52:37 - mmengine - INFO - Epoch(train) [156][50/63] lr: 6.1801e-03 eta: 7:47:24 time: 0.6108 data_time: 0.0613 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6605 loss_db: 0.2346 loss: 3.7521 2022/08/25 23:52:39 - mmengine - INFO - Epoch(train) [156][55/63] lr: 6.1801e-03 eta: 7:47:24 time: 0.3740 data_time: 0.0194 memory: 6760 loss_prob: 2.8555 loss_thr: 0.6683 loss_db: 0.2595 loss: 3.7834 2022/08/25 23:52:40 - mmengine - INFO - Epoch(train) [156][60/63] lr: 6.1801e-03 eta: 7:47:16 time: 0.3807 data_time: 0.0180 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6835 loss_db: 0.2604 loss: 3.8010 2022/08/25 23:52:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:52:45 - mmengine - INFO - Epoch(train) [157][5/63] lr: 6.1747e-03 eta: 7:47:16 time: 0.5599 data_time: 0.1655 memory: 6760 loss_prob: 2.8627 loss_thr: 0.7049 loss_db: 0.2694 loss: 3.8370 2022/08/25 23:52:47 - mmengine - INFO - Epoch(train) [157][10/63] lr: 6.1747e-03 eta: 7:47:10 time: 0.5408 data_time: 0.1652 memory: 6760 loss_prob: 2.8603 loss_thr: 0.7025 loss_db: 0.2579 loss: 3.8206 2022/08/25 23:52:49 - mmengine - INFO - Epoch(train) [157][15/63] lr: 6.1747e-03 eta: 7:47:10 time: 0.3819 data_time: 0.0188 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6787 loss_db: 0.2532 loss: 3.7905 2022/08/25 23:52:51 - mmengine - INFO - Epoch(train) [157][20/63] lr: 6.1747e-03 eta: 7:47:03 time: 0.3955 data_time: 0.0174 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6605 loss_db: 0.2530 loss: 3.7733 2022/08/25 23:52:53 - mmengine - INFO - Epoch(train) [157][25/63] lr: 6.1747e-03 eta: 7:47:03 time: 0.4136 data_time: 0.0272 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6589 loss_db: 0.2602 loss: 3.7792 2022/08/25 23:52:55 - mmengine - INFO - Epoch(train) [157][30/63] lr: 6.1747e-03 eta: 7:46:57 time: 0.3888 data_time: 0.0210 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6585 loss_db: 0.2504 loss: 3.7694 2022/08/25 23:52:57 - mmengine - INFO - Epoch(train) [157][35/63] lr: 6.1747e-03 eta: 7:46:57 time: 0.3819 data_time: 0.0210 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6655 loss_db: 0.2375 loss: 3.7645 2022/08/25 23:52:59 - mmengine - INFO - Epoch(train) [157][40/63] lr: 6.1747e-03 eta: 7:46:49 time: 0.3749 data_time: 0.0189 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6683 loss_db: 0.2285 loss: 3.7578 2022/08/25 23:53:01 - mmengine - INFO - Epoch(train) [157][45/63] lr: 6.1747e-03 eta: 7:46:49 time: 0.4247 data_time: 0.0162 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6807 loss_db: 0.2524 loss: 3.7936 2022/08/25 23:53:04 - mmengine - INFO - Epoch(train) [157][50/63] lr: 6.1747e-03 eta: 7:46:47 time: 0.4535 data_time: 0.0373 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6884 loss_db: 0.2698 loss: 3.8176 2022/08/25 23:53:05 - mmengine - INFO - Epoch(train) [157][55/63] lr: 6.1747e-03 eta: 7:46:47 time: 0.3972 data_time: 0.0337 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6897 loss_db: 0.2460 loss: 3.7946 2022/08/25 23:53:07 - mmengine - INFO - Epoch(train) [157][60/63] lr: 6.1747e-03 eta: 7:46:39 time: 0.3801 data_time: 0.0174 memory: 6760 loss_prob: 2.8607 loss_thr: 0.7026 loss_db: 0.2542 loss: 3.8175 2022/08/25 23:53:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:53:12 - mmengine - INFO - Epoch(train) [158][5/63] lr: 6.1694e-03 eta: 7:46:39 time: 0.5006 data_time: 0.1498 memory: 6760 loss_prob: 2.8598 loss_thr: 0.7433 loss_db: 0.2640 loss: 3.8671 2022/08/25 23:53:14 - mmengine - INFO - Epoch(train) [158][10/63] lr: 6.1694e-03 eta: 7:46:33 time: 0.5356 data_time: 0.1651 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6952 loss_db: 0.2434 loss: 3.7959 2022/08/25 23:53:15 - mmengine - INFO - Epoch(train) [158][15/63] lr: 6.1694e-03 eta: 7:46:33 time: 0.3732 data_time: 0.0245 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6191 loss_db: 0.2267 loss: 3.7044 2022/08/25 23:53:17 - mmengine - INFO - Epoch(train) [158][20/63] lr: 6.1694e-03 eta: 7:46:23 time: 0.3544 data_time: 0.0148 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6836 loss_db: 0.2715 loss: 3.8155 2022/08/25 23:53:19 - mmengine - INFO - Epoch(train) [158][25/63] lr: 6.1694e-03 eta: 7:46:23 time: 0.3697 data_time: 0.0177 memory: 6760 loss_prob: 2.8599 loss_thr: 0.7075 loss_db: 0.2656 loss: 3.8330 2022/08/25 23:53:22 - mmengine - INFO - Epoch(train) [158][30/63] lr: 6.1694e-03 eta: 7:46:21 time: 0.4534 data_time: 0.0160 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6713 loss_db: 0.2534 loss: 3.7827 2022/08/25 23:53:24 - mmengine - INFO - Epoch(train) [158][35/63] lr: 6.1694e-03 eta: 7:46:21 time: 0.4861 data_time: 0.0318 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6631 loss_db: 0.2542 loss: 3.7776 2022/08/25 23:53:26 - mmengine - INFO - Epoch(train) [158][40/63] lr: 6.1694e-03 eta: 7:46:15 time: 0.4057 data_time: 0.0294 memory: 6760 loss_prob: 2.8642 loss_thr: 0.6645 loss_db: 0.2340 loss: 3.7627 2022/08/25 23:53:28 - mmengine - INFO - Epoch(train) [158][45/63] lr: 6.1694e-03 eta: 7:46:15 time: 0.3708 data_time: 0.0162 memory: 6760 loss_prob: 2.8637 loss_thr: 0.6524 loss_db: 0.2351 loss: 3.7512 2022/08/25 23:53:30 - mmengine - INFO - Epoch(train) [158][50/63] lr: 6.1694e-03 eta: 7:46:08 time: 0.3793 data_time: 0.0223 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6634 loss_db: 0.2385 loss: 3.7646 2022/08/25 23:53:32 - mmengine - INFO - Epoch(train) [158][55/63] lr: 6.1694e-03 eta: 7:46:08 time: 0.4127 data_time: 0.0323 memory: 6760 loss_prob: 2.8635 loss_thr: 0.6724 loss_db: 0.2460 loss: 3.7819 2022/08/25 23:53:34 - mmengine - INFO - Epoch(train) [158][60/63] lr: 6.1694e-03 eta: 7:46:04 time: 0.4354 data_time: 0.0364 memory: 6760 loss_prob: 2.8638 loss_thr: 0.6638 loss_db: 0.2399 loss: 3.7675 2022/08/25 23:53:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:53:38 - mmengine - INFO - Epoch(train) [159][5/63] lr: 6.1641e-03 eta: 7:46:04 time: 0.5113 data_time: 0.1537 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6506 loss_db: 0.2487 loss: 3.7610 2022/08/25 23:53:40 - mmengine - INFO - Epoch(train) [159][10/63] lr: 6.1641e-03 eta: 7:45:57 time: 0.5306 data_time: 0.1634 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6621 loss_db: 0.2495 loss: 3.7717 2022/08/25 23:53:43 - mmengine - INFO - Epoch(train) [159][15/63] lr: 6.1641e-03 eta: 7:45:57 time: 0.4381 data_time: 0.0237 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6688 loss_db: 0.2354 loss: 3.7646 2022/08/25 23:53:45 - mmengine - INFO - Epoch(train) [159][20/63] lr: 6.1641e-03 eta: 7:45:54 time: 0.4371 data_time: 0.0256 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6651 loss_db: 0.2420 loss: 3.7672 2022/08/25 23:53:47 - mmengine - INFO - Epoch(train) [159][25/63] lr: 6.1641e-03 eta: 7:45:54 time: 0.3892 data_time: 0.0284 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6718 loss_db: 0.2567 loss: 3.7873 2022/08/25 23:53:48 - mmengine - INFO - Epoch(train) [159][30/63] lr: 6.1641e-03 eta: 7:45:47 time: 0.3809 data_time: 0.0173 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6846 loss_db: 0.2646 loss: 3.8086 2022/08/25 23:53:50 - mmengine - INFO - Epoch(train) [159][35/63] lr: 6.1641e-03 eta: 7:45:47 time: 0.3799 data_time: 0.0168 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6877 loss_db: 0.2857 loss: 3.8324 2022/08/25 23:53:52 - mmengine - INFO - Epoch(train) [159][40/63] lr: 6.1641e-03 eta: 7:45:39 time: 0.3793 data_time: 0.0217 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6743 loss_db: 0.2784 loss: 3.8098 2022/08/25 23:53:54 - mmengine - INFO - Epoch(train) [159][45/63] lr: 6.1641e-03 eta: 7:45:39 time: 0.4024 data_time: 0.0336 memory: 6760 loss_prob: 2.8549 loss_thr: 0.6543 loss_db: 0.2495 loss: 3.7588 2022/08/25 23:53:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:53:56 - mmengine - INFO - Epoch(train) [159][50/63] lr: 6.1641e-03 eta: 7:45:35 time: 0.4235 data_time: 0.0404 memory: 6760 loss_prob: 2.8543 loss_thr: 0.6464 loss_db: 0.2573 loss: 3.7580 2022/08/25 23:53:58 - mmengine - INFO - Epoch(train) [159][55/63] lr: 6.1641e-03 eta: 7:45:35 time: 0.3879 data_time: 0.0241 memory: 6760 loss_prob: 2.8552 loss_thr: 0.6676 loss_db: 0.2539 loss: 3.7767 2022/08/25 23:54:00 - mmengine - INFO - Epoch(train) [159][60/63] lr: 6.1641e-03 eta: 7:45:27 time: 0.3722 data_time: 0.0153 memory: 6760 loss_prob: 2.8548 loss_thr: 0.6521 loss_db: 0.2407 loss: 3.7477 2022/08/25 23:54:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:54:06 - mmengine - INFO - Epoch(train) [160][5/63] lr: 6.1587e-03 eta: 7:45:27 time: 0.6159 data_time: 0.1789 memory: 6760 loss_prob: 2.8565 loss_thr: 0.7052 loss_db: 0.2678 loss: 3.8295 2022/08/25 23:54:08 - mmengine - INFO - Epoch(train) [160][10/63] lr: 6.1587e-03 eta: 7:45:22 time: 0.5522 data_time: 0.1924 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6901 loss_db: 0.2526 loss: 3.8007 2022/08/25 23:54:09 - mmengine - INFO - Epoch(train) [160][15/63] lr: 6.1587e-03 eta: 7:45:22 time: 0.3832 data_time: 0.0279 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6462 loss_db: 0.2549 loss: 3.7593 2022/08/25 23:54:11 - mmengine - INFO - Epoch(train) [160][20/63] lr: 6.1587e-03 eta: 7:45:14 time: 0.3724 data_time: 0.0144 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6346 loss_db: 0.2423 loss: 3.7368 2022/08/25 23:54:13 - mmengine - INFO - Epoch(train) [160][25/63] lr: 6.1587e-03 eta: 7:45:14 time: 0.3787 data_time: 0.0200 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6352 loss_db: 0.2421 loss: 3.7349 2022/08/25 23:54:15 - mmengine - INFO - Epoch(train) [160][30/63] lr: 6.1587e-03 eta: 7:45:07 time: 0.3843 data_time: 0.0184 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6310 loss_db: 0.2479 loss: 3.7356 2022/08/25 23:54:17 - mmengine - INFO - Epoch(train) [160][35/63] lr: 6.1587e-03 eta: 7:45:07 time: 0.3874 data_time: 0.0228 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6263 loss_db: 0.2199 loss: 3.7053 2022/08/25 23:54:19 - mmengine - INFO - Epoch(train) [160][40/63] lr: 6.1587e-03 eta: 7:44:59 time: 0.3717 data_time: 0.0232 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6739 loss_db: 0.2586 loss: 3.7899 2022/08/25 23:54:22 - mmengine - INFO - Epoch(train) [160][45/63] lr: 6.1587e-03 eta: 7:44:59 time: 0.4593 data_time: 0.0200 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6951 loss_db: 0.2806 loss: 3.8327 2022/08/25 23:54:24 - mmengine - INFO - Epoch(train) [160][50/63] lr: 6.1587e-03 eta: 7:44:59 time: 0.4834 data_time: 0.0272 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6590 loss_db: 0.2487 loss: 3.7665 2022/08/25 23:54:26 - mmengine - INFO - Epoch(train) [160][55/63] lr: 6.1587e-03 eta: 7:44:59 time: 0.3955 data_time: 0.0285 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6474 loss_db: 0.2405 loss: 3.7476 2022/08/25 23:54:27 - mmengine - INFO - Epoch(train) [160][60/63] lr: 6.1587e-03 eta: 7:44:51 time: 0.3716 data_time: 0.0163 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6542 loss_db: 0.2345 loss: 3.7476 2022/08/25 23:54:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:54:28 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/25 23:54:32 - mmengine - INFO - Epoch(val) [160][5/500] eta: 7:44:51 time: 0.2488 data_time: 0.0169 memory: 6760 2022/08/25 23:54:33 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:01:53 time: 0.2325 data_time: 0.0171 memory: 425 2022/08/25 23:54:34 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:01:53 time: 0.1961 data_time: 0.0019 memory: 425 2022/08/25 23:54:35 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:01:30 time: 0.1892 data_time: 0.0018 memory: 425 2022/08/25 23:54:36 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:01:30 time: 0.1823 data_time: 0.0019 memory: 425 2022/08/25 23:54:37 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:01:32 time: 0.1965 data_time: 0.0020 memory: 425 2022/08/25 23:54:38 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:01:32 time: 0.2021 data_time: 0.0019 memory: 425 2022/08/25 23:54:39 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:01:21 time: 0.1765 data_time: 0.0020 memory: 425 2022/08/25 23:54:40 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:01:21 time: 0.1817 data_time: 0.0019 memory: 425 2022/08/25 23:54:41 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:01:28 time: 0.1975 data_time: 0.0018 memory: 425 2022/08/25 23:54:43 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:01:28 time: 0.2956 data_time: 0.0204 memory: 425 2022/08/25 23:54:44 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:02:04 time: 0.2838 data_time: 0.0210 memory: 425 2022/08/25 23:54:45 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:02:04 time: 0.2429 data_time: 0.0030 memory: 425 2022/08/25 23:54:46 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:01:43 time: 0.2411 data_time: 0.0026 memory: 425 2022/08/25 23:54:47 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:01:43 time: 0.1631 data_time: 0.0022 memory: 425 2022/08/25 23:54:48 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:01:08 time: 0.1621 data_time: 0.0019 memory: 425 2022/08/25 23:54:48 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:01:08 time: 0.1649 data_time: 0.0018 memory: 425 2022/08/25 23:54:50 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:01:21 time: 0.1997 data_time: 0.0019 memory: 425 2022/08/25 23:54:50 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:01:21 time: 0.2066 data_time: 0.0019 memory: 425 2022/08/25 23:54:52 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:01:31 time: 0.2284 data_time: 0.0223 memory: 425 2022/08/25 23:54:53 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:01:31 time: 0.2350 data_time: 0.0324 memory: 425 2022/08/25 23:54:54 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:01:06 time: 0.1715 data_time: 0.0120 memory: 425 2022/08/25 23:54:54 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:01:06 time: 0.1533 data_time: 0.0018 memory: 425 2022/08/25 23:54:55 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:01:01 time: 0.1612 data_time: 0.0019 memory: 425 2022/08/25 23:54:56 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:01:01 time: 0.1967 data_time: 0.0029 memory: 425 2022/08/25 23:54:57 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:01:04 time: 0.1756 data_time: 0.0028 memory: 425 2022/08/25 23:54:58 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:01:04 time: 0.1386 data_time: 0.0019 memory: 425 2022/08/25 23:54:59 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:01:00 time: 0.1676 data_time: 0.0018 memory: 425 2022/08/25 23:55:00 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:01:00 time: 0.1891 data_time: 0.0020 memory: 425 2022/08/25 23:55:00 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:01:02 time: 0.1783 data_time: 0.0020 memory: 425 2022/08/25 23:55:02 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:01:02 time: 0.2464 data_time: 0.0062 memory: 425 2022/08/25 23:55:03 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:01:28 time: 0.2612 data_time: 0.0066 memory: 425 2022/08/25 23:55:04 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:01:28 time: 0.1817 data_time: 0.0021 memory: 425 2022/08/25 23:55:05 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:01:05 time: 0.1976 data_time: 0.0018 memory: 425 2022/08/25 23:55:06 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:01:05 time: 0.2033 data_time: 0.0019 memory: 425 2022/08/25 23:55:07 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:54 time: 0.1703 data_time: 0.0019 memory: 425 2022/08/25 23:55:08 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:54 time: 0.1942 data_time: 0.0019 memory: 425 2022/08/25 23:55:09 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:01:03 time: 0.2062 data_time: 0.0019 memory: 425 2022/08/25 23:55:10 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:01:03 time: 0.1941 data_time: 0.0018 memory: 425 2022/08/25 23:55:11 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:01:11 time: 0.2370 data_time: 0.0018 memory: 425 2022/08/25 23:55:13 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:01:11 time: 0.3232 data_time: 0.0279 memory: 425 2022/08/25 23:55:14 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:01:13 time: 0.2548 data_time: 0.0280 memory: 425 2022/08/25 23:55:15 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:01:13 time: 0.1689 data_time: 0.0020 memory: 425 2022/08/25 23:55:16 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:52 time: 0.1879 data_time: 0.0019 memory: 425 2022/08/25 23:55:17 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:52 time: 0.1901 data_time: 0.0019 memory: 425 2022/08/25 23:55:18 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:51 time: 0.1923 data_time: 0.0021 memory: 425 2022/08/25 23:55:19 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:51 time: 0.2164 data_time: 0.0028 memory: 425 2022/08/25 23:55:20 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:57 time: 0.2228 data_time: 0.0026 memory: 425 2022/08/25 23:55:21 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:57 time: 0.1789 data_time: 0.0018 memory: 425 2022/08/25 23:55:22 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:59 time: 0.2390 data_time: 0.0075 memory: 425 2022/08/25 23:55:23 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:59 time: 0.2371 data_time: 0.0079 memory: 425 2022/08/25 23:55:24 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:37 time: 0.1554 data_time: 0.0022 memory: 425 2022/08/25 23:55:24 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:37 time: 0.1364 data_time: 0.0018 memory: 425 2022/08/25 23:55:26 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:49 time: 0.2150 data_time: 0.0018 memory: 425 2022/08/25 23:55:27 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:49 time: 0.2245 data_time: 0.0020 memory: 425 2022/08/25 23:55:28 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:38 time: 0.1764 data_time: 0.0019 memory: 425 2022/08/25 23:55:28 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:38 time: 0.1741 data_time: 0.0018 memory: 425 2022/08/25 23:55:29 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:35 time: 0.1706 data_time: 0.0018 memory: 425 2022/08/25 23:55:30 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:35 time: 0.2031 data_time: 0.0020 memory: 425 2022/08/25 23:55:33 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:01:04 time: 0.3227 data_time: 0.0253 memory: 425 2022/08/25 23:55:33 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:01:04 time: 0.3004 data_time: 0.0273 memory: 425 2022/08/25 23:55:34 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:31 time: 0.1673 data_time: 0.0039 memory: 425 2022/08/25 23:55:35 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:31 time: 0.2167 data_time: 0.0026 memory: 425 2022/08/25 23:55:37 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:41 time: 0.2321 data_time: 0.0029 memory: 425 2022/08/25 23:55:38 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:41 time: 0.2504 data_time: 0.0021 memory: 425 2022/08/25 23:55:39 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:38 time: 0.2247 data_time: 0.0018 memory: 425 2022/08/25 23:55:40 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:38 time: 0.1609 data_time: 0.0018 memory: 425 2022/08/25 23:55:41 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:31 time: 0.1970 data_time: 0.0019 memory: 425 2022/08/25 23:55:42 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:31 time: 0.2264 data_time: 0.0039 memory: 425 2022/08/25 23:55:43 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:38 time: 0.2586 data_time: 0.0041 memory: 425 2022/08/25 23:55:44 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:38 time: 0.2313 data_time: 0.0023 memory: 425 2022/08/25 23:55:45 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:24 time: 0.1773 data_time: 0.0020 memory: 425 2022/08/25 23:55:46 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:24 time: 0.1921 data_time: 0.0019 memory: 425 2022/08/25 23:55:47 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:23 time: 0.1813 data_time: 0.0019 memory: 425 2022/08/25 23:55:48 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:23 time: 0.1715 data_time: 0.0018 memory: 425 2022/08/25 23:55:49 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:20 time: 0.1689 data_time: 0.0018 memory: 425 2022/08/25 23:55:49 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:20 time: 0.1626 data_time: 0.0018 memory: 425 2022/08/25 23:55:50 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:18 time: 0.1648 data_time: 0.0018 memory: 425 2022/08/25 23:55:53 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:18 time: 0.3057 data_time: 0.0105 memory: 425 2022/08/25 23:55:53 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:30 time: 0.3037 data_time: 0.0125 memory: 425 2022/08/25 23:55:54 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:30 time: 0.1820 data_time: 0.0039 memory: 425 2022/08/25 23:55:55 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:16 time: 0.1880 data_time: 0.0023 memory: 425 2022/08/25 23:55:56 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:16 time: 0.1574 data_time: 0.0024 memory: 425 2022/08/25 23:55:57 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:13 time: 0.1626 data_time: 0.0020 memory: 425 2022/08/25 23:55:58 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:13 time: 0.2023 data_time: 0.0019 memory: 425 2022/08/25 23:55:59 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:14 time: 0.2125 data_time: 0.0018 memory: 425 2022/08/25 23:56:00 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:14 time: 0.1761 data_time: 0.0018 memory: 425 2022/08/25 23:56:01 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:10 time: 0.1675 data_time: 0.0018 memory: 425 2022/08/25 23:56:02 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:10 time: 0.2265 data_time: 0.0033 memory: 425 2022/08/25 23:56:03 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:11 time: 0.2269 data_time: 0.0037 memory: 425 2022/08/25 23:56:04 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:11 time: 0.1921 data_time: 0.0022 memory: 425 2022/08/25 23:56:05 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:07 time: 0.1822 data_time: 0.0018 memory: 425 2022/08/25 23:56:05 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:07 time: 0.1548 data_time: 0.0018 memory: 425 2022/08/25 23:56:06 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:04 time: 0.1549 data_time: 0.0018 memory: 425 2022/08/25 23:56:07 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:04 time: 0.1816 data_time: 0.0019 memory: 425 2022/08/25 23:56:08 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:03 time: 0.1738 data_time: 0.0019 memory: 425 2022/08/25 23:56:09 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:03 time: 0.1481 data_time: 0.0018 memory: 425 2022/08/25 23:56:10 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:01 time: 0.1560 data_time: 0.0018 memory: 425 2022/08/25 23:56:10 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:01 time: 0.1724 data_time: 0.0018 memory: 425 2022/08/25 23:56:13 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.3378 data_time: 0.0156 memory: 425 2022/08/25 23:56:13 - mmengine - INFO - Evaluating hmean-iou... 2022/08/25 23:56:13 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0053, precision: 0.0002, hmean: 0.0003 2022/08/25 23:56:13 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:56:13 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:56:13 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:56:13 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:56:13 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:56:13 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/25 23:56:13 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.0002 icdar/recall: 0.0053 icdar/hmean: 0.0003 2022/08/25 23:56:17 - mmengine - INFO - Epoch(train) [161][5/63] lr: 6.1534e-03 eta: 0:00:00 time: 0.5765 data_time: 0.1881 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6612 loss_db: 0.2450 loss: 3.7655 2022/08/25 23:56:19 - mmengine - INFO - Epoch(train) [161][10/63] lr: 6.1534e-03 eta: 7:44:49 time: 0.6116 data_time: 0.1966 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6627 loss_db: 0.2440 loss: 3.7677 2022/08/25 23:56:21 - mmengine - INFO - Epoch(train) [161][15/63] lr: 6.1534e-03 eta: 7:44:49 time: 0.3943 data_time: 0.0227 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6677 loss_db: 0.2489 loss: 3.7769 2022/08/25 23:56:23 - mmengine - INFO - Epoch(train) [161][20/63] lr: 6.1534e-03 eta: 7:44:42 time: 0.3761 data_time: 0.0170 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6840 loss_db: 0.2601 loss: 3.8036 2022/08/25 23:56:25 - mmengine - INFO - Epoch(train) [161][25/63] lr: 6.1534e-03 eta: 7:44:42 time: 0.3728 data_time: 0.0244 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6720 loss_db: 0.2752 loss: 3.8071 2022/08/25 23:56:27 - mmengine - INFO - Epoch(train) [161][30/63] lr: 6.1534e-03 eta: 7:44:34 time: 0.3768 data_time: 0.0247 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6636 loss_db: 0.2733 loss: 3.7969 2022/08/25 23:56:29 - mmengine - INFO - Epoch(train) [161][35/63] lr: 6.1534e-03 eta: 7:44:34 time: 0.3673 data_time: 0.0223 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6589 loss_db: 0.2536 loss: 3.7724 2022/08/25 23:56:30 - mmengine - INFO - Epoch(train) [161][40/63] lr: 6.1534e-03 eta: 7:44:25 time: 0.3585 data_time: 0.0180 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6826 loss_db: 0.2668 loss: 3.8102 2022/08/25 23:56:34 - mmengine - INFO - Epoch(train) [161][45/63] lr: 6.1534e-03 eta: 7:44:25 time: 0.5365 data_time: 0.0238 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6977 loss_db: 0.2707 loss: 3.8290 2022/08/25 23:56:36 - mmengine - INFO - Epoch(train) [161][50/63] lr: 6.1534e-03 eta: 7:44:30 time: 0.5560 data_time: 0.0353 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6672 loss_db: 0.2406 loss: 3.7671 2022/08/25 23:56:38 - mmengine - INFO - Epoch(train) [161][55/63] lr: 6.1534e-03 eta: 7:44:30 time: 0.3780 data_time: 0.0309 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6427 loss_db: 0.2424 loss: 3.7427 2022/08/25 23:56:40 - mmengine - INFO - Epoch(train) [161][60/63] lr: 6.1534e-03 eta: 7:44:21 time: 0.3621 data_time: 0.0218 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6640 loss_db: 0.2560 loss: 3.7772 2022/08/25 23:56:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:56:44 - mmengine - INFO - Epoch(train) [162][5/63] lr: 6.1481e-03 eta: 7:44:21 time: 0.5457 data_time: 0.1939 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6746 loss_db: 0.2332 loss: 3.7666 2022/08/25 23:56:46 - mmengine - INFO - Epoch(train) [162][10/63] lr: 6.1481e-03 eta: 7:44:18 time: 0.5886 data_time: 0.2075 memory: 6760 loss_prob: 2.8602 loss_thr: 0.7056 loss_db: 0.2625 loss: 3.8284 2022/08/25 23:56:48 - mmengine - INFO - Epoch(train) [162][15/63] lr: 6.1481e-03 eta: 7:44:18 time: 0.4149 data_time: 0.0280 memory: 6760 loss_prob: 2.8607 loss_thr: 0.7063 loss_db: 0.2605 loss: 3.8275 2022/08/25 23:56:50 - mmengine - INFO - Epoch(train) [162][20/63] lr: 6.1481e-03 eta: 7:44:12 time: 0.3971 data_time: 0.0223 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6521 loss_db: 0.2329 loss: 3.7457 2022/08/25 23:56:53 - mmengine - INFO - Epoch(train) [162][25/63] lr: 6.1481e-03 eta: 7:44:12 time: 0.4826 data_time: 0.0326 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6687 loss_db: 0.2487 loss: 3.7794 2022/08/25 23:56:55 - mmengine - INFO - Epoch(train) [162][30/63] lr: 6.1481e-03 eta: 7:44:11 time: 0.4725 data_time: 0.0247 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6622 loss_db: 0.2324 loss: 3.7560 2022/08/25 23:56:57 - mmengine - INFO - Epoch(train) [162][35/63] lr: 6.1481e-03 eta: 7:44:11 time: 0.3703 data_time: 0.0172 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6361 loss_db: 0.2108 loss: 3.7061 2022/08/25 23:56:59 - mmengine - INFO - Epoch(train) [162][40/63] lr: 6.1481e-03 eta: 7:44:03 time: 0.3692 data_time: 0.0230 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6497 loss_db: 0.2430 loss: 3.7514 2022/08/25 23:57:01 - mmengine - INFO - Epoch(train) [162][45/63] lr: 6.1481e-03 eta: 7:44:03 time: 0.3753 data_time: 0.0217 memory: 6760 loss_prob: 2.8604 loss_thr: 0.7054 loss_db: 0.2815 loss: 3.8473 2022/08/25 23:57:03 - mmengine - INFO - Epoch(train) [162][50/63] lr: 6.1481e-03 eta: 7:43:57 time: 0.3938 data_time: 0.0317 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6915 loss_db: 0.2541 loss: 3.8048 2022/08/25 23:57:04 - mmengine - INFO - Epoch(train) [162][55/63] lr: 6.1481e-03 eta: 7:43:57 time: 0.3730 data_time: 0.0282 memory: 6760 loss_prob: 2.8558 loss_thr: 0.6611 loss_db: 0.2378 loss: 3.7547 2022/08/25 23:57:06 - mmengine - INFO - Epoch(train) [162][60/63] lr: 6.1481e-03 eta: 7:43:48 time: 0.3525 data_time: 0.0149 memory: 6760 loss_prob: 2.8550 loss_thr: 0.6714 loss_db: 0.2570 loss: 3.7833 2022/08/25 23:57:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:57:11 - mmengine - INFO - Epoch(train) [163][5/63] lr: 6.1427e-03 eta: 7:43:48 time: 0.5179 data_time: 0.1532 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6441 loss_db: 0.2535 loss: 3.7543 2022/08/25 23:57:13 - mmengine - INFO - Epoch(train) [163][10/63] lr: 6.1427e-03 eta: 7:43:44 time: 0.5771 data_time: 0.1624 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6609 loss_db: 0.2504 loss: 3.7692 2022/08/25 23:57:15 - mmengine - INFO - Epoch(train) [163][15/63] lr: 6.1427e-03 eta: 7:43:44 time: 0.4144 data_time: 0.0261 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6681 loss_db: 0.2763 loss: 3.8029 2022/08/25 23:57:17 - mmengine - INFO - Epoch(train) [163][20/63] lr: 6.1427e-03 eta: 7:43:36 time: 0.3805 data_time: 0.0222 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6662 loss_db: 0.2678 loss: 3.7929 2022/08/25 23:57:19 - mmengine - INFO - Epoch(train) [163][25/63] lr: 6.1427e-03 eta: 7:43:36 time: 0.3792 data_time: 0.0168 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6891 loss_db: 0.2689 loss: 3.8170 2022/08/25 23:57:21 - mmengine - INFO - Epoch(train) [163][30/63] lr: 6.1427e-03 eta: 7:43:29 time: 0.3690 data_time: 0.0161 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6806 loss_db: 0.2781 loss: 3.8168 2022/08/25 23:57:24 - mmengine - INFO - Epoch(train) [163][35/63] lr: 6.1427e-03 eta: 7:43:29 time: 0.4951 data_time: 0.0261 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6545 loss_db: 0.2574 loss: 3.7700 2022/08/25 23:57:26 - mmengine - INFO - Epoch(train) [163][40/63] lr: 6.1427e-03 eta: 7:43:29 time: 0.5026 data_time: 0.0298 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6511 loss_db: 0.2508 loss: 3.7588 2022/08/25 23:57:27 - mmengine - INFO - Epoch(train) [163][45/63] lr: 6.1427e-03 eta: 7:43:29 time: 0.3801 data_time: 0.0266 memory: 6760 loss_prob: 2.8559 loss_thr: 0.6510 loss_db: 0.2441 loss: 3.7510 2022/08/25 23:57:29 - mmengine - INFO - Epoch(train) [163][50/63] lr: 6.1427e-03 eta: 7:43:21 time: 0.3677 data_time: 0.0201 memory: 6760 loss_prob: 2.8557 loss_thr: 0.6690 loss_db: 0.2457 loss: 3.7705 2022/08/25 23:57:31 - mmengine - INFO - Epoch(train) [163][55/63] lr: 6.1427e-03 eta: 7:43:21 time: 0.3696 data_time: 0.0178 memory: 6760 loss_prob: 2.8547 loss_thr: 0.6776 loss_db: 0.2418 loss: 3.7741 2022/08/25 23:57:34 - mmengine - INFO - Epoch(train) [163][60/63] lr: 6.1427e-03 eta: 7:43:21 time: 0.4872 data_time: 0.0400 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6675 loss_db: 0.2352 loss: 3.7595 2022/08/25 23:57:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:57:39 - mmengine - INFO - Epoch(train) [164][5/63] lr: 6.1374e-03 eta: 7:43:21 time: 0.5648 data_time: 0.1676 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6446 loss_db: 0.2297 loss: 3.7323 2022/08/25 23:57:41 - mmengine - INFO - Epoch(train) [164][10/63] lr: 6.1374e-03 eta: 7:43:15 time: 0.5385 data_time: 0.1688 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6580 loss_db: 0.2503 loss: 3.7654 2022/08/25 23:57:43 - mmengine - INFO - Epoch(train) [164][15/63] lr: 6.1374e-03 eta: 7:43:15 time: 0.4118 data_time: 0.0190 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6641 loss_db: 0.2389 loss: 3.7606 2022/08/25 23:57:45 - mmengine - INFO - Epoch(train) [164][20/63] lr: 6.1374e-03 eta: 7:43:08 time: 0.3935 data_time: 0.0167 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6336 loss_db: 0.2091 loss: 3.7018 2022/08/25 23:57:46 - mmengine - INFO - Epoch(train) [164][25/63] lr: 6.1374e-03 eta: 7:43:08 time: 0.3786 data_time: 0.0245 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6609 loss_db: 0.2431 loss: 3.7636 2022/08/25 23:57:48 - mmengine - INFO - Epoch(train) [164][30/63] lr: 6.1374e-03 eta: 7:43:01 time: 0.3783 data_time: 0.0219 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6622 loss_db: 0.2497 loss: 3.7722 2022/08/25 23:57:50 - mmengine - INFO - Epoch(train) [164][35/63] lr: 6.1374e-03 eta: 7:43:01 time: 0.3726 data_time: 0.0241 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6048 loss_db: 0.2281 loss: 3.6930 2022/08/25 23:57:53 - mmengine - INFO - Epoch(train) [164][40/63] lr: 6.1374e-03 eta: 7:43:01 time: 0.4965 data_time: 0.0271 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6385 loss_db: 0.2400 loss: 3.7401 2022/08/25 23:57:55 - mmengine - INFO - Epoch(train) [164][45/63] lr: 6.1374e-03 eta: 7:43:01 time: 0.4989 data_time: 0.0254 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6796 loss_db: 0.2430 loss: 3.7849 2022/08/25 23:57:57 - mmengine - INFO - Epoch(train) [164][50/63] lr: 6.1374e-03 eta: 7:42:54 time: 0.3837 data_time: 0.0284 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6544 loss_db: 0.2495 loss: 3.7631 2022/08/25 23:57:59 - mmengine - INFO - Epoch(train) [164][55/63] lr: 6.1374e-03 eta: 7:42:54 time: 0.3814 data_time: 0.0221 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6562 loss_db: 0.2541 loss: 3.7684 2022/08/25 23:58:01 - mmengine - INFO - Epoch(train) [164][60/63] lr: 6.1374e-03 eta: 7:42:47 time: 0.3742 data_time: 0.0175 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6771 loss_db: 0.2428 loss: 3.7785 2022/08/25 23:58:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:58:05 - mmengine - INFO - Epoch(train) [165][5/63] lr: 6.1321e-03 eta: 7:42:47 time: 0.5233 data_time: 0.1637 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6385 loss_db: 0.2386 loss: 3.7345 2022/08/25 23:58:07 - mmengine - INFO - Epoch(train) [165][10/63] lr: 6.1321e-03 eta: 7:42:40 time: 0.5337 data_time: 0.1776 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6471 loss_db: 0.2445 loss: 3.7501 2022/08/25 23:58:09 - mmengine - INFO - Epoch(train) [165][15/63] lr: 6.1321e-03 eta: 7:42:40 time: 0.3819 data_time: 0.0250 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6381 loss_db: 0.2390 loss: 3.7358 2022/08/25 23:58:11 - mmengine - INFO - Epoch(train) [165][20/63] lr: 6.1321e-03 eta: 7:42:32 time: 0.3675 data_time: 0.0160 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6482 loss_db: 0.2487 loss: 3.7538 2022/08/25 23:58:13 - mmengine - INFO - Epoch(train) [165][25/63] lr: 6.1321e-03 eta: 7:42:32 time: 0.4160 data_time: 0.0236 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6660 loss_db: 0.2466 loss: 3.7699 2022/08/25 23:58:15 - mmengine - INFO - Epoch(train) [165][30/63] lr: 6.1321e-03 eta: 7:42:27 time: 0.4112 data_time: 0.0205 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6844 loss_db: 0.2535 loss: 3.7961 2022/08/25 23:58:17 - mmengine - INFO - Epoch(train) [165][35/63] lr: 6.1321e-03 eta: 7:42:27 time: 0.4056 data_time: 0.0189 memory: 6760 loss_prob: 2.8606 loss_thr: 0.7034 loss_db: 0.2584 loss: 3.8225 2022/08/25 23:58:19 - mmengine - INFO - Epoch(train) [165][40/63] lr: 6.1321e-03 eta: 7:42:22 time: 0.4146 data_time: 0.0229 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6918 loss_db: 0.2544 loss: 3.8080 2022/08/25 23:58:21 - mmengine - INFO - Epoch(train) [165][45/63] lr: 6.1321e-03 eta: 7:42:22 time: 0.3715 data_time: 0.0214 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6663 loss_db: 0.2518 loss: 3.7779 2022/08/25 23:58:23 - mmengine - INFO - Epoch(train) [165][50/63] lr: 6.1321e-03 eta: 7:42:17 time: 0.4192 data_time: 0.0466 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6369 loss_db: 0.2361 loss: 3.7315 2022/08/25 23:58:25 - mmengine - INFO - Epoch(train) [165][55/63] lr: 6.1321e-03 eta: 7:42:17 time: 0.4334 data_time: 0.0455 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6501 loss_db: 0.2368 loss: 3.7450 2022/08/25 23:58:27 - mmengine - INFO - Epoch(train) [165][60/63] lr: 6.1321e-03 eta: 7:42:11 time: 0.3901 data_time: 0.0191 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6917 loss_db: 0.2439 loss: 3.7934 2022/08/25 23:58:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:58:32 - mmengine - INFO - Epoch(train) [166][5/63] lr: 6.1267e-03 eta: 7:42:11 time: 0.5514 data_time: 0.1553 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6786 loss_db: 0.2680 loss: 3.8053 2022/08/25 23:58:34 - mmengine - INFO - Epoch(train) [166][10/63] lr: 6.1267e-03 eta: 7:42:07 time: 0.5811 data_time: 0.1691 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6820 loss_db: 0.2716 loss: 3.8118 2022/08/25 23:58:36 - mmengine - INFO - Epoch(train) [166][15/63] lr: 6.1267e-03 eta: 7:42:07 time: 0.3815 data_time: 0.0266 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6864 loss_db: 0.2603 loss: 3.8046 2022/08/25 23:58:38 - mmengine - INFO - Epoch(train) [166][20/63] lr: 6.1267e-03 eta: 7:41:59 time: 0.3616 data_time: 0.0174 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6769 loss_db: 0.2529 loss: 3.7867 2022/08/25 23:58:40 - mmengine - INFO - Epoch(train) [166][25/63] lr: 6.1267e-03 eta: 7:41:59 time: 0.3718 data_time: 0.0241 memory: 6760 loss_prob: 2.8548 loss_thr: 0.6798 loss_db: 0.2575 loss: 3.7922 2022/08/25 23:58:42 - mmengine - INFO - Epoch(train) [166][30/63] lr: 6.1267e-03 eta: 7:41:55 time: 0.4267 data_time: 0.0179 memory: 6760 loss_prob: 2.8545 loss_thr: 0.6677 loss_db: 0.2513 loss: 3.7734 2022/08/25 23:58:44 - mmengine - INFO - Epoch(train) [166][35/63] lr: 6.1267e-03 eta: 7:41:55 time: 0.4475 data_time: 0.0196 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6633 loss_db: 0.2454 loss: 3.7653 2022/08/25 23:58:46 - mmengine - INFO - Epoch(train) [166][40/63] lr: 6.1267e-03 eta: 7:41:49 time: 0.3985 data_time: 0.0271 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6949 loss_db: 0.2422 loss: 3.7958 2022/08/25 23:58:48 - mmengine - INFO - Epoch(train) [166][45/63] lr: 6.1267e-03 eta: 7:41:49 time: 0.3792 data_time: 0.0213 memory: 6760 loss_prob: 2.8596 loss_thr: 0.7250 loss_db: 0.2923 loss: 3.8769 2022/08/25 23:58:50 - mmengine - INFO - Epoch(train) [166][50/63] lr: 6.1267e-03 eta: 7:41:42 time: 0.3875 data_time: 0.0235 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6993 loss_db: 0.2923 loss: 3.8507 2022/08/25 23:58:53 - mmengine - INFO - Epoch(train) [166][55/63] lr: 6.1267e-03 eta: 7:41:42 time: 0.4532 data_time: 0.0261 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6648 loss_db: 0.2473 loss: 3.7704 2022/08/25 23:58:55 - mmengine - INFO - Epoch(train) [166][60/63] lr: 6.1267e-03 eta: 7:41:40 time: 0.4613 data_time: 0.0239 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6606 loss_db: 0.2478 loss: 3.7683 2022/08/25 23:58:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:58:59 - mmengine - INFO - Epoch(train) [167][5/63] lr: 6.1214e-03 eta: 7:41:40 time: 0.5419 data_time: 0.1786 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6433 loss_db: 0.2482 loss: 3.7481 2022/08/25 23:59:01 - mmengine - INFO - Epoch(train) [167][10/63] lr: 6.1214e-03 eta: 7:41:34 time: 0.5432 data_time: 0.1838 memory: 6760 loss_prob: 2.8559 loss_thr: 0.6387 loss_db: 0.2582 loss: 3.7528 2022/08/25 23:59:03 - mmengine - INFO - Epoch(train) [167][15/63] lr: 6.1214e-03 eta: 7:41:34 time: 0.3683 data_time: 0.0208 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6687 loss_db: 0.2592 loss: 3.7882 2022/08/25 23:59:05 - mmengine - INFO - Epoch(train) [167][20/63] lr: 6.1214e-03 eta: 7:41:27 time: 0.3754 data_time: 0.0173 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6810 loss_db: 0.2467 loss: 3.7887 2022/08/25 23:59:07 - mmengine - INFO - Epoch(train) [167][25/63] lr: 6.1214e-03 eta: 7:41:27 time: 0.3882 data_time: 0.0232 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6652 loss_db: 0.2302 loss: 3.7544 2022/08/25 23:59:09 - mmengine - INFO - Epoch(train) [167][30/63] lr: 6.1214e-03 eta: 7:41:21 time: 0.3985 data_time: 0.0211 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6700 loss_db: 0.2501 loss: 3.7779 2022/08/25 23:59:11 - mmengine - INFO - Epoch(train) [167][35/63] lr: 6.1214e-03 eta: 7:41:21 time: 0.3986 data_time: 0.0225 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6743 loss_db: 0.2583 loss: 3.7901 2022/08/25 23:59:15 - mmengine - INFO - Epoch(train) [167][40/63] lr: 6.1214e-03 eta: 7:41:32 time: 0.6662 data_time: 0.0238 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6832 loss_db: 0.2534 loss: 3.7946 2022/08/25 23:59:17 - mmengine - INFO - Epoch(train) [167][45/63] lr: 6.1214e-03 eta: 7:41:32 time: 0.6693 data_time: 0.0273 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6865 loss_db: 0.2591 loss: 3.8027 2022/08/25 23:59:19 - mmengine - INFO - Epoch(train) [167][50/63] lr: 6.1214e-03 eta: 7:41:25 time: 0.3876 data_time: 0.0282 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6561 loss_db: 0.2414 loss: 3.7554 2022/08/25 23:59:21 - mmengine - INFO - Epoch(train) [167][55/63] lr: 6.1214e-03 eta: 7:41:25 time: 0.3737 data_time: 0.0187 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6821 loss_db: 0.2300 loss: 3.7714 2022/08/25 23:59:23 - mmengine - INFO - Epoch(train) [167][60/63] lr: 6.1214e-03 eta: 7:41:20 time: 0.4129 data_time: 0.0321 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6928 loss_db: 0.2380 loss: 3.7910 2022/08/25 23:59:24 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:59:28 - mmengine - INFO - Epoch(train) [168][5/63] lr: 6.1161e-03 eta: 7:41:20 time: 0.5439 data_time: 0.1819 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6837 loss_db: 0.2538 loss: 3.7987 2022/08/25 23:59:30 - mmengine - INFO - Epoch(train) [168][10/63] lr: 6.1161e-03 eta: 7:41:15 time: 0.5622 data_time: 0.1940 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6906 loss_db: 0.2637 loss: 3.8156 2022/08/25 23:59:33 - mmengine - INFO - Epoch(train) [168][15/63] lr: 6.1161e-03 eta: 7:41:15 time: 0.4983 data_time: 0.0415 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6822 loss_db: 0.2697 loss: 3.8136 2022/08/25 23:59:35 - mmengine - INFO - Epoch(train) [168][20/63] lr: 6.1161e-03 eta: 7:41:14 time: 0.4817 data_time: 0.0361 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6548 loss_db: 0.2620 loss: 3.7772 2022/08/25 23:59:37 - mmengine - INFO - Epoch(train) [168][25/63] lr: 6.1161e-03 eta: 7:41:14 time: 0.4287 data_time: 0.0205 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6706 loss_db: 0.2520 loss: 3.7844 2022/08/25 23:59:39 - mmengine - INFO - Epoch(train) [168][30/63] lr: 6.1161e-03 eta: 7:41:11 time: 0.4385 data_time: 0.0166 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6533 loss_db: 0.2403 loss: 3.7558 2022/08/25 23:59:41 - mmengine - INFO - Epoch(train) [168][35/63] lr: 6.1161e-03 eta: 7:41:11 time: 0.3848 data_time: 0.0270 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6127 loss_db: 0.2224 loss: 3.6959 2022/08/25 23:59:45 - mmengine - INFO - Epoch(train) [168][40/63] lr: 6.1161e-03 eta: 7:41:16 time: 0.5726 data_time: 0.1221 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6458 loss_db: 0.2487 loss: 3.7567 2022/08/25 23:59:47 - mmengine - INFO - Epoch(train) [168][45/63] lr: 6.1161e-03 eta: 7:41:16 time: 0.6060 data_time: 0.1204 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6581 loss_db: 0.2528 loss: 3.7729 2022/08/25 23:59:49 - mmengine - INFO - Epoch(train) [168][50/63] lr: 6.1161e-03 eta: 7:41:11 time: 0.4152 data_time: 0.0234 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6422 loss_db: 0.2406 loss: 3.7426 2022/08/25 23:59:51 - mmengine - INFO - Epoch(train) [168][55/63] lr: 6.1161e-03 eta: 7:41:11 time: 0.3811 data_time: 0.0165 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6551 loss_db: 0.2458 loss: 3.7600 2022/08/25 23:59:53 - mmengine - INFO - Epoch(train) [168][60/63] lr: 6.1161e-03 eta: 7:41:06 time: 0.4109 data_time: 0.0244 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6502 loss_db: 0.2371 loss: 3.7465 2022/08/25 23:59:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/25 23:59:58 - mmengine - INFO - Epoch(train) [169][5/63] lr: 6.1107e-03 eta: 7:41:06 time: 0.5000 data_time: 0.1616 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6725 loss_db: 0.2508 loss: 3.7824 2022/08/25 23:59:59 - mmengine - INFO - Epoch(train) [169][10/63] lr: 6.1107e-03 eta: 7:40:58 time: 0.5214 data_time: 0.1614 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6619 loss_db: 0.2381 loss: 3.7595 2022/08/26 00:00:13 - mmengine - INFO - Epoch(train) [169][15/63] lr: 6.1107e-03 eta: 7:40:58 time: 1.4918 data_time: 0.1390 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6307 loss_db: 0.2297 loss: 3.7206 2022/08/26 00:00:15 - mmengine - INFO - Epoch(train) [169][20/63] lr: 6.1107e-03 eta: 7:42:00 time: 1.5045 data_time: 0.1519 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6381 loss_db: 0.2344 loss: 3.7336 2022/08/26 00:00:16 - mmengine - INFO - Epoch(train) [169][25/63] lr: 6.1107e-03 eta: 7:42:00 time: 0.3870 data_time: 0.0300 memory: 6760 loss_prob: 2.8680 loss_thr: 0.6623 loss_db: 0.2436 loss: 3.7739 2022/08/26 00:00:18 - mmengine - INFO - Epoch(train) [169][30/63] lr: 6.1107e-03 eta: 7:41:53 time: 0.3755 data_time: 0.0212 memory: 6760 loss_prob: 2.8684 loss_thr: 0.6693 loss_db: 0.2510 loss: 3.7887 2022/08/26 00:00:20 - mmengine - INFO - Epoch(train) [169][35/63] lr: 6.1107e-03 eta: 7:41:53 time: 0.3894 data_time: 0.0185 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6551 loss_db: 0.2473 loss: 3.7625 2022/08/26 00:00:23 - mmengine - INFO - Epoch(train) [169][40/63] lr: 6.1107e-03 eta: 7:41:49 time: 0.4368 data_time: 0.0420 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6681 loss_db: 0.2540 loss: 3.7802 2022/08/26 00:00:25 - mmengine - INFO - Epoch(train) [169][45/63] lr: 6.1107e-03 eta: 7:41:49 time: 0.4621 data_time: 0.0643 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6664 loss_db: 0.2356 loss: 3.7607 2022/08/26 00:00:27 - mmengine - INFO - Epoch(train) [169][50/63] lr: 6.1107e-03 eta: 7:41:43 time: 0.4030 data_time: 0.0374 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6395 loss_db: 0.2242 loss: 3.7228 2022/08/26 00:00:29 - mmengine - INFO - Epoch(train) [169][55/63] lr: 6.1107e-03 eta: 7:41:43 time: 0.3623 data_time: 0.0168 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6625 loss_db: 0.2440 loss: 3.7655 2022/08/26 00:00:30 - mmengine - INFO - Epoch(train) [169][60/63] lr: 6.1107e-03 eta: 7:41:35 time: 0.3656 data_time: 0.0175 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6632 loss_db: 0.2353 loss: 3.7578 2022/08/26 00:00:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:00:38 - mmengine - INFO - Epoch(train) [170][5/63] lr: 6.1054e-03 eta: 7:41:35 time: 0.8163 data_time: 0.3260 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6568 loss_db: 0.2423 loss: 3.7584 2022/08/26 00:00:40 - mmengine - INFO - Epoch(train) [170][10/63] lr: 6.1054e-03 eta: 7:41:44 time: 0.7808 data_time: 0.3393 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6389 loss_db: 0.2367 loss: 3.7350 2022/08/26 00:00:42 - mmengine - INFO - Epoch(train) [170][15/63] lr: 6.1054e-03 eta: 7:41:44 time: 0.3918 data_time: 0.0263 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6192 loss_db: 0.2240 loss: 3.7030 2022/08/26 00:00:45 - mmengine - INFO - Epoch(train) [170][20/63] lr: 6.1054e-03 eta: 7:41:43 time: 0.4883 data_time: 0.0161 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6332 loss_db: 0.2303 loss: 3.7229 2022/08/26 00:00:47 - mmengine - INFO - Epoch(train) [170][25/63] lr: 6.1054e-03 eta: 7:41:43 time: 0.5026 data_time: 0.0229 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6436 loss_db: 0.2465 loss: 3.7499 2022/08/26 00:00:49 - mmengine - INFO - Epoch(train) [170][30/63] lr: 6.1054e-03 eta: 7:41:37 time: 0.3899 data_time: 0.0197 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6329 loss_db: 0.2463 loss: 3.7415 2022/08/26 00:00:50 - mmengine - INFO - Epoch(train) [170][35/63] lr: 6.1054e-03 eta: 7:41:37 time: 0.3698 data_time: 0.0221 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6386 loss_db: 0.2410 loss: 3.7423 2022/08/26 00:00:53 - mmengine - INFO - Epoch(train) [170][40/63] lr: 6.1054e-03 eta: 7:41:31 time: 0.4055 data_time: 0.0293 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6712 loss_db: 0.2502 loss: 3.7827 2022/08/26 00:00:55 - mmengine - INFO - Epoch(train) [170][45/63] lr: 6.1054e-03 eta: 7:41:31 time: 0.4194 data_time: 0.0260 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6627 loss_db: 0.2440 loss: 3.7673 2022/08/26 00:00:57 - mmengine - INFO - Epoch(train) [170][50/63] lr: 6.1054e-03 eta: 7:41:24 time: 0.3837 data_time: 0.0222 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6517 loss_db: 0.2265 loss: 3.7387 2022/08/26 00:00:58 - mmengine - INFO - Epoch(train) [170][55/63] lr: 6.1054e-03 eta: 7:41:24 time: 0.3658 data_time: 0.0179 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6886 loss_db: 0.2511 loss: 3.8007 2022/08/26 00:01:00 - mmengine - INFO - Epoch(train) [170][60/63] lr: 6.1054e-03 eta: 7:41:16 time: 0.3633 data_time: 0.0149 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6913 loss_db: 0.2616 loss: 3.8139 2022/08/26 00:01:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:01:06 - mmengine - INFO - Epoch(train) [171][5/63] lr: 6.1001e-03 eta: 7:41:16 time: 0.6028 data_time: 0.2528 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6357 loss_db: 0.2353 loss: 3.7309 2022/08/26 00:01:07 - mmengine - INFO - Epoch(train) [171][10/63] lr: 6.1001e-03 eta: 7:41:14 time: 0.6173 data_time: 0.2551 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6300 loss_db: 0.2395 loss: 3.7298 2022/08/26 00:01:09 - mmengine - INFO - Epoch(train) [171][15/63] lr: 6.1001e-03 eta: 7:41:14 time: 0.3710 data_time: 0.0200 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6568 loss_db: 0.2478 loss: 3.7659 2022/08/26 00:01:11 - mmengine - INFO - Epoch(train) [171][20/63] lr: 6.1001e-03 eta: 7:41:06 time: 0.3658 data_time: 0.0154 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6465 loss_db: 0.2403 loss: 3.7476 2022/08/26 00:01:21 - mmengine - INFO - Epoch(train) [171][25/63] lr: 6.1001e-03 eta: 7:41:06 time: 1.1398 data_time: 0.1593 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6487 loss_db: 0.2326 loss: 3.7409 2022/08/26 00:01:23 - mmengine - INFO - Epoch(train) [171][30/63] lr: 6.1001e-03 eta: 7:41:47 time: 1.1718 data_time: 0.1660 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6495 loss_db: 0.2290 loss: 3.7363 2022/08/26 00:01:25 - mmengine - INFO - Epoch(train) [171][35/63] lr: 6.1001e-03 eta: 7:41:47 time: 0.4147 data_time: 0.0343 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6412 loss_db: 0.2253 loss: 3.7249 2022/08/26 00:01:27 - mmengine - INFO - Epoch(train) [171][40/63] lr: 6.1001e-03 eta: 7:41:41 time: 0.3894 data_time: 0.0254 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6604 loss_db: 0.2292 loss: 3.7485 2022/08/26 00:01:29 - mmengine - INFO - Epoch(train) [171][45/63] lr: 6.1001e-03 eta: 7:41:41 time: 0.4248 data_time: 0.0555 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6763 loss_db: 0.2497 loss: 3.7843 2022/08/26 00:01:31 - mmengine - INFO - Epoch(train) [171][50/63] lr: 6.1001e-03 eta: 7:41:39 time: 0.4771 data_time: 0.0604 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6726 loss_db: 0.2628 loss: 3.7946 2022/08/26 00:01:34 - mmengine - INFO - Epoch(train) [171][55/63] lr: 6.1001e-03 eta: 7:41:39 time: 0.4661 data_time: 0.0297 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6542 loss_db: 0.2458 loss: 3.7595 2022/08/26 00:01:36 - mmengine - INFO - Epoch(train) [171][60/63] lr: 6.1001e-03 eta: 7:41:34 time: 0.4092 data_time: 0.0332 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6535 loss_db: 0.2259 loss: 3.7402 2022/08/26 00:01:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:01:40 - mmengine - INFO - Epoch(train) [172][5/63] lr: 6.0947e-03 eta: 7:41:34 time: 0.4904 data_time: 0.1453 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6390 loss_db: 0.2400 loss: 3.7409 2022/08/26 00:01:42 - mmengine - INFO - Epoch(train) [172][10/63] lr: 6.0947e-03 eta: 7:41:30 time: 0.5764 data_time: 0.1575 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6249 loss_db: 0.2201 loss: 3.7056 2022/08/26 00:01:44 - mmengine - INFO - Epoch(train) [172][15/63] lr: 6.0947e-03 eta: 7:41:30 time: 0.4460 data_time: 0.0261 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6456 loss_db: 0.2230 loss: 3.7289 2022/08/26 00:01:46 - mmengine - INFO - Epoch(train) [172][20/63] lr: 6.0947e-03 eta: 7:41:23 time: 0.3797 data_time: 0.0242 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6333 loss_db: 0.2270 loss: 3.7201 2022/08/26 00:01:48 - mmengine - INFO - Epoch(train) [172][25/63] lr: 6.0947e-03 eta: 7:41:23 time: 0.3802 data_time: 0.0285 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6386 loss_db: 0.2350 loss: 3.7327 2022/08/26 00:01:50 - mmengine - INFO - Epoch(train) [172][30/63] lr: 6.0947e-03 eta: 7:41:15 time: 0.3759 data_time: 0.0177 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6413 loss_db: 0.2436 loss: 3.7436 2022/08/26 00:01:52 - mmengine - INFO - Epoch(train) [172][35/63] lr: 6.0947e-03 eta: 7:41:15 time: 0.4210 data_time: 0.0185 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6663 loss_db: 0.2455 loss: 3.7712 2022/08/26 00:01:54 - mmengine - INFO - Epoch(train) [172][40/63] lr: 6.0947e-03 eta: 7:41:12 time: 0.4372 data_time: 0.0228 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6728 loss_db: 0.2394 loss: 3.7727 2022/08/26 00:01:56 - mmengine - INFO - Epoch(train) [172][45/63] lr: 6.0947e-03 eta: 7:41:12 time: 0.3995 data_time: 0.0231 memory: 6760 loss_prob: 2.8636 loss_thr: 0.6400 loss_db: 0.2333 loss: 3.7369 2022/08/26 00:01:58 - mmengine - INFO - Epoch(train) [172][50/63] lr: 6.0947e-03 eta: 7:41:05 time: 0.3882 data_time: 0.0279 memory: 6760 loss_prob: 2.8643 loss_thr: 0.6687 loss_db: 0.2528 loss: 3.7858 2022/08/26 00:02:00 - mmengine - INFO - Epoch(train) [172][55/63] lr: 6.0947e-03 eta: 7:41:05 time: 0.3703 data_time: 0.0195 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6743 loss_db: 0.2566 loss: 3.7923 2022/08/26 00:02:02 - mmengine - INFO - Epoch(train) [172][60/63] lr: 6.0947e-03 eta: 7:41:00 time: 0.4133 data_time: 0.0216 memory: 6760 loss_prob: 2.8666 loss_thr: 0.6602 loss_db: 0.2550 loss: 3.7819 2022/08/26 00:02:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:02:08 - mmengine - INFO - Epoch(train) [173][5/63] lr: 6.0894e-03 eta: 7:41:00 time: 0.6336 data_time: 0.2132 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6166 loss_db: 0.2299 loss: 3.7076 2022/08/26 00:02:09 - mmengine - INFO - Epoch(train) [173][10/63] lr: 6.0894e-03 eta: 7:40:56 time: 0.5760 data_time: 0.1972 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6434 loss_db: 0.2428 loss: 3.7460 2022/08/26 00:02:11 - mmengine - INFO - Epoch(train) [173][15/63] lr: 6.0894e-03 eta: 7:40:56 time: 0.3763 data_time: 0.0207 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6527 loss_db: 0.2648 loss: 3.7775 2022/08/26 00:02:13 - mmengine - INFO - Epoch(train) [173][20/63] lr: 6.0894e-03 eta: 7:40:48 time: 0.3762 data_time: 0.0199 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6486 loss_db: 0.2490 loss: 3.7571 2022/08/26 00:02:15 - mmengine - INFO - Epoch(train) [173][25/63] lr: 6.0894e-03 eta: 7:40:48 time: 0.3687 data_time: 0.0191 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6376 loss_db: 0.2375 loss: 3.7337 2022/08/26 00:02:17 - mmengine - INFO - Epoch(train) [173][30/63] lr: 6.0894e-03 eta: 7:40:41 time: 0.3725 data_time: 0.0175 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6734 loss_db: 0.2315 loss: 3.7643 2022/08/26 00:02:19 - mmengine - INFO - Epoch(train) [173][35/63] lr: 6.0894e-03 eta: 7:40:41 time: 0.3795 data_time: 0.0243 memory: 6760 loss_prob: 2.8597 loss_thr: 0.7158 loss_db: 0.2356 loss: 3.8111 2022/08/26 00:02:21 - mmengine - INFO - Epoch(train) [173][40/63] lr: 6.0894e-03 eta: 7:40:33 time: 0.3733 data_time: 0.0220 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6673 loss_db: 0.2393 loss: 3.7653 2022/08/26 00:02:26 - mmengine - INFO - Epoch(train) [173][45/63] lr: 6.0894e-03 eta: 7:40:33 time: 0.6865 data_time: 0.0295 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6391 loss_db: 0.2362 loss: 3.7348 2022/08/26 00:02:28 - mmengine - INFO - Epoch(train) [173][50/63] lr: 6.0894e-03 eta: 7:40:45 time: 0.6910 data_time: 0.0370 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6440 loss_db: 0.2250 loss: 3.7295 2022/08/26 00:02:29 - mmengine - INFO - Epoch(train) [173][55/63] lr: 6.0894e-03 eta: 7:40:45 time: 0.3816 data_time: 0.0242 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6772 loss_db: 0.2385 loss: 3.7746 2022/08/26 00:02:31 - mmengine - INFO - Epoch(train) [173][60/63] lr: 6.0894e-03 eta: 7:40:38 time: 0.3824 data_time: 0.0235 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6969 loss_db: 0.2605 loss: 3.8168 2022/08/26 00:02:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:02:36 - mmengine - INFO - Epoch(train) [174][5/63] lr: 6.0841e-03 eta: 7:40:38 time: 0.5008 data_time: 0.1548 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6678 loss_db: 0.2596 loss: 3.7888 2022/08/26 00:02:38 - mmengine - INFO - Epoch(train) [174][10/63] lr: 6.0841e-03 eta: 7:40:30 time: 0.5209 data_time: 0.1669 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6643 loss_db: 0.2496 loss: 3.7757 2022/08/26 00:02:39 - mmengine - INFO - Epoch(train) [174][15/63] lr: 6.0841e-03 eta: 7:40:30 time: 0.3718 data_time: 0.0230 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6539 loss_db: 0.2479 loss: 3.7632 2022/08/26 00:02:41 - mmengine - INFO - Epoch(train) [174][20/63] lr: 6.0841e-03 eta: 7:40:22 time: 0.3613 data_time: 0.0161 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6755 loss_db: 0.2589 loss: 3.7949 2022/08/26 00:02:46 - mmengine - INFO - Epoch(train) [174][25/63] lr: 6.0841e-03 eta: 7:40:22 time: 0.6123 data_time: 0.0377 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6223 loss_db: 0.2295 loss: 3.7106 2022/08/26 00:02:47 - mmengine - INFO - Epoch(train) [174][30/63] lr: 6.0841e-03 eta: 7:40:29 time: 0.6188 data_time: 0.0431 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6024 loss_db: 0.2178 loss: 3.6788 2022/08/26 00:02:49 - mmengine - INFO - Epoch(train) [174][35/63] lr: 6.0841e-03 eta: 7:40:29 time: 0.3951 data_time: 0.0301 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6498 loss_db: 0.2384 loss: 3.7472 2022/08/26 00:02:51 - mmengine - INFO - Epoch(train) [174][40/63] lr: 6.0841e-03 eta: 7:40:22 time: 0.3780 data_time: 0.0191 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6469 loss_db: 0.2426 loss: 3.7478 2022/08/26 00:02:53 - mmengine - INFO - Epoch(train) [174][45/63] lr: 6.0841e-03 eta: 7:40:22 time: 0.3610 data_time: 0.0172 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6316 loss_db: 0.2415 loss: 3.7304 2022/08/26 00:02:55 - mmengine - INFO - Epoch(train) [174][50/63] lr: 6.0841e-03 eta: 7:40:15 time: 0.3760 data_time: 0.0268 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6620 loss_db: 0.2426 loss: 3.7628 2022/08/26 00:02:57 - mmengine - INFO - Epoch(train) [174][55/63] lr: 6.0841e-03 eta: 7:40:15 time: 0.3686 data_time: 0.0216 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6640 loss_db: 0.2429 loss: 3.7671 2022/08/26 00:02:59 - mmengine - INFO - Epoch(train) [174][60/63] lr: 6.0841e-03 eta: 7:40:07 time: 0.3633 data_time: 0.0149 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6270 loss_db: 0.2377 loss: 3.7259 2022/08/26 00:03:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:03:04 - mmengine - INFO - Epoch(train) [175][5/63] lr: 6.0787e-03 eta: 7:40:07 time: 0.5790 data_time: 0.2074 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6358 loss_db: 0.2366 loss: 3.7323 2022/08/26 00:03:06 - mmengine - INFO - Epoch(train) [175][10/63] lr: 6.0787e-03 eta: 7:40:04 time: 0.6114 data_time: 0.2272 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6069 loss_db: 0.2238 loss: 3.6891 2022/08/26 00:03:08 - mmengine - INFO - Epoch(train) [175][15/63] lr: 6.0787e-03 eta: 7:40:04 time: 0.3862 data_time: 0.0287 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6545 loss_db: 0.2251 loss: 3.7393 2022/08/26 00:03:09 - mmengine - INFO - Epoch(train) [175][20/63] lr: 6.0787e-03 eta: 7:39:57 time: 0.3726 data_time: 0.0131 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6714 loss_db: 0.2388 loss: 3.7703 2022/08/26 00:03:11 - mmengine - INFO - Epoch(train) [175][25/63] lr: 6.0787e-03 eta: 7:39:57 time: 0.3679 data_time: 0.0168 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6268 loss_db: 0.2383 loss: 3.7250 2022/08/26 00:03:13 - mmengine - INFO - Epoch(train) [175][30/63] lr: 6.0787e-03 eta: 7:39:50 time: 0.3838 data_time: 0.0201 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6258 loss_db: 0.2396 loss: 3.7261 2022/08/26 00:03:15 - mmengine - INFO - Epoch(train) [175][35/63] lr: 6.0787e-03 eta: 7:39:50 time: 0.3961 data_time: 0.0245 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6648 loss_db: 0.2465 loss: 3.7723 2022/08/26 00:03:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:03:17 - mmengine - INFO - Epoch(train) [175][40/63] lr: 6.0787e-03 eta: 7:39:43 time: 0.3789 data_time: 0.0242 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6689 loss_db: 0.2414 loss: 3.7701 2022/08/26 00:03:19 - mmengine - INFO - Epoch(train) [175][45/63] lr: 6.0787e-03 eta: 7:39:43 time: 0.3797 data_time: 0.0213 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6605 loss_db: 0.2376 loss: 3.7594 2022/08/26 00:03:21 - mmengine - INFO - Epoch(train) [175][50/63] lr: 6.0787e-03 eta: 7:39:36 time: 0.3757 data_time: 0.0218 memory: 6760 loss_prob: 2.8635 loss_thr: 0.6753 loss_db: 0.2411 loss: 3.7799 2022/08/26 00:03:25 - mmengine - INFO - Epoch(train) [175][55/63] lr: 6.0787e-03 eta: 7:39:36 time: 0.5508 data_time: 0.0305 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6487 loss_db: 0.2413 loss: 3.7527 2022/08/26 00:03:26 - mmengine - INFO - Epoch(train) [175][60/63] lr: 6.0787e-03 eta: 7:39:39 time: 0.5644 data_time: 0.0317 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6151 loss_db: 0.2295 loss: 3.7058 2022/08/26 00:03:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:03:31 - mmengine - INFO - Epoch(train) [176][5/63] lr: 6.0734e-03 eta: 7:39:39 time: 0.5334 data_time: 0.1818 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6399 loss_db: 0.2431 loss: 3.7433 2022/08/26 00:03:33 - mmengine - INFO - Epoch(train) [176][10/63] lr: 6.0734e-03 eta: 7:39:32 time: 0.5289 data_time: 0.1855 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6326 loss_db: 0.2469 loss: 3.7389 2022/08/26 00:03:35 - mmengine - INFO - Epoch(train) [176][15/63] lr: 6.0734e-03 eta: 7:39:32 time: 0.3648 data_time: 0.0183 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6544 loss_db: 0.2409 loss: 3.7548 2022/08/26 00:03:37 - mmengine - INFO - Epoch(train) [176][20/63] lr: 6.0734e-03 eta: 7:39:30 time: 0.4545 data_time: 0.0726 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6887 loss_db: 0.2656 loss: 3.8141 2022/08/26 00:03:39 - mmengine - INFO - Epoch(train) [176][25/63] lr: 6.0734e-03 eta: 7:39:30 time: 0.4609 data_time: 0.0811 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6582 loss_db: 0.2605 loss: 3.7763 2022/08/26 00:03:41 - mmengine - INFO - Epoch(train) [176][30/63] lr: 6.0734e-03 eta: 7:39:22 time: 0.3744 data_time: 0.0223 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6347 loss_db: 0.2300 loss: 3.7216 2022/08/26 00:03:44 - mmengine - INFO - Epoch(train) [176][35/63] lr: 6.0734e-03 eta: 7:39:22 time: 0.4586 data_time: 0.0245 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6305 loss_db: 0.2180 loss: 3.7069 2022/08/26 00:03:46 - mmengine - INFO - Epoch(train) [176][40/63] lr: 6.0734e-03 eta: 7:39:20 time: 0.4558 data_time: 0.0215 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6516 loss_db: 0.2548 loss: 3.7652 2022/08/26 00:03:48 - mmengine - INFO - Epoch(train) [176][45/63] lr: 6.0734e-03 eta: 7:39:20 time: 0.3850 data_time: 0.0178 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6754 loss_db: 0.2637 loss: 3.7969 2022/08/26 00:03:50 - mmengine - INFO - Epoch(train) [176][50/63] lr: 6.0734e-03 eta: 7:39:14 time: 0.3963 data_time: 0.0267 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6688 loss_db: 0.2395 loss: 3.7655 2022/08/26 00:03:52 - mmengine - INFO - Epoch(train) [176][55/63] lr: 6.0734e-03 eta: 7:39:14 time: 0.3791 data_time: 0.0215 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6357 loss_db: 0.2266 loss: 3.7204 2022/08/26 00:03:55 - mmengine - INFO - Epoch(train) [176][60/63] lr: 6.0734e-03 eta: 7:39:16 time: 0.5354 data_time: 0.0371 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6191 loss_db: 0.2185 loss: 3.6981 2022/08/26 00:03:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:04:00 - mmengine - INFO - Epoch(train) [177][5/63] lr: 6.0681e-03 eta: 7:39:16 time: 0.5193 data_time: 0.1688 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6331 loss_db: 0.2326 loss: 3.7267 2022/08/26 00:04:02 - mmengine - INFO - Epoch(train) [177][10/63] lr: 6.0681e-03 eta: 7:39:10 time: 0.5510 data_time: 0.1823 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6150 loss_db: 0.2144 loss: 3.6899 2022/08/26 00:04:04 - mmengine - INFO - Epoch(train) [177][15/63] lr: 6.0681e-03 eta: 7:39:10 time: 0.3995 data_time: 0.0260 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6199 loss_db: 0.2227 loss: 3.7024 2022/08/26 00:04:05 - mmengine - INFO - Epoch(train) [177][20/63] lr: 6.0681e-03 eta: 7:39:03 time: 0.3777 data_time: 0.0138 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6226 loss_db: 0.2437 loss: 3.7251 2022/08/26 00:04:07 - mmengine - INFO - Epoch(train) [177][25/63] lr: 6.0681e-03 eta: 7:39:03 time: 0.3709 data_time: 0.0209 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6624 loss_db: 0.2581 loss: 3.7800 2022/08/26 00:04:09 - mmengine - INFO - Epoch(train) [177][30/63] lr: 6.0681e-03 eta: 7:38:55 time: 0.3729 data_time: 0.0208 memory: 6760 loss_prob: 2.8604 loss_thr: 0.7173 loss_db: 0.2630 loss: 3.8408 2022/08/26 00:04:11 - mmengine - INFO - Epoch(train) [177][35/63] lr: 6.0681e-03 eta: 7:38:55 time: 0.3696 data_time: 0.0176 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6791 loss_db: 0.2559 loss: 3.7944 2022/08/26 00:04:13 - mmengine - INFO - Epoch(train) [177][40/63] lr: 6.0681e-03 eta: 7:38:51 time: 0.4334 data_time: 0.0312 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6226 loss_db: 0.2429 loss: 3.7246 2022/08/26 00:04:16 - mmengine - INFO - Epoch(train) [177][45/63] lr: 6.0681e-03 eta: 7:38:51 time: 0.4766 data_time: 0.0324 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6151 loss_db: 0.2394 loss: 3.7131 2022/08/26 00:04:18 - mmengine - INFO - Epoch(train) [177][50/63] lr: 6.0681e-03 eta: 7:38:46 time: 0.4143 data_time: 0.0229 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6239 loss_db: 0.2439 loss: 3.7280 2022/08/26 00:04:19 - mmengine - INFO - Epoch(train) [177][55/63] lr: 6.0681e-03 eta: 7:38:46 time: 0.3759 data_time: 0.0190 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6241 loss_db: 0.2577 loss: 3.7431 2022/08/26 00:04:21 - mmengine - INFO - Epoch(train) [177][60/63] lr: 6.0681e-03 eta: 7:38:39 time: 0.3741 data_time: 0.0151 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6519 loss_db: 0.2597 loss: 3.7712 2022/08/26 00:04:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:04:27 - mmengine - INFO - Epoch(train) [178][5/63] lr: 6.0627e-03 eta: 7:38:39 time: 0.6241 data_time: 0.1851 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6573 loss_db: 0.2765 loss: 3.7903 2022/08/26 00:04:29 - mmengine - INFO - Epoch(train) [178][10/63] lr: 6.0627e-03 eta: 7:38:36 time: 0.5926 data_time: 0.1656 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6663 loss_db: 0.2432 loss: 3.7660 2022/08/26 00:04:31 - mmengine - INFO - Epoch(train) [178][15/63] lr: 6.0627e-03 eta: 7:38:36 time: 0.3747 data_time: 0.0240 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6879 loss_db: 0.2376 loss: 3.7818 2022/08/26 00:04:33 - mmengine - INFO - Epoch(train) [178][20/63] lr: 6.0627e-03 eta: 7:38:29 time: 0.3772 data_time: 0.0262 memory: 6760 loss_prob: 2.8535 loss_thr: 0.6870 loss_db: 0.2644 loss: 3.8050 2022/08/26 00:04:34 - mmengine - INFO - Epoch(train) [178][25/63] lr: 6.0627e-03 eta: 7:38:29 time: 0.3727 data_time: 0.0277 memory: 6760 loss_prob: 2.8530 loss_thr: 0.6590 loss_db: 0.2551 loss: 3.7671 2022/08/26 00:04:36 - mmengine - INFO - Epoch(train) [178][30/63] lr: 6.0627e-03 eta: 7:38:21 time: 0.3782 data_time: 0.0214 memory: 6760 loss_prob: 2.8537 loss_thr: 0.6396 loss_db: 0.2329 loss: 3.7263 2022/08/26 00:04:38 - mmengine - INFO - Epoch(train) [178][35/63] lr: 6.0627e-03 eta: 7:38:21 time: 0.3952 data_time: 0.0240 memory: 6760 loss_prob: 2.8549 loss_thr: 0.6485 loss_db: 0.2435 loss: 3.7470 2022/08/26 00:04:40 - mmengine - INFO - Epoch(train) [178][40/63] lr: 6.0627e-03 eta: 7:38:14 time: 0.3783 data_time: 0.0180 memory: 6760 loss_prob: 2.8560 loss_thr: 0.6556 loss_db: 0.2531 loss: 3.7647 2022/08/26 00:04:44 - mmengine - INFO - Epoch(train) [178][45/63] lr: 6.0627e-03 eta: 7:38:14 time: 0.5307 data_time: 0.0164 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6380 loss_db: 0.2437 loss: 3.7385 2022/08/26 00:04:46 - mmengine - INFO - Epoch(train) [178][50/63] lr: 6.0627e-03 eta: 7:38:22 time: 0.6247 data_time: 0.0350 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6487 loss_db: 0.2403 loss: 3.7479 2022/08/26 00:04:48 - mmengine - INFO - Epoch(train) [178][55/63] lr: 6.0627e-03 eta: 7:38:22 time: 0.4641 data_time: 0.0314 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6673 loss_db: 0.2566 loss: 3.7848 2022/08/26 00:04:50 - mmengine - INFO - Epoch(train) [178][60/63] lr: 6.0627e-03 eta: 7:38:14 time: 0.3783 data_time: 0.0196 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6836 loss_db: 0.2714 loss: 3.8167 2022/08/26 00:04:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:04:54 - mmengine - INFO - Epoch(train) [179][5/63] lr: 6.0574e-03 eta: 7:38:14 time: 0.5016 data_time: 0.1493 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6450 loss_db: 0.2541 loss: 3.7604 2022/08/26 00:04:56 - mmengine - INFO - Epoch(train) [179][10/63] lr: 6.0574e-03 eta: 7:38:07 time: 0.5299 data_time: 0.1592 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6214 loss_db: 0.2293 loss: 3.7108 2022/08/26 00:04:58 - mmengine - INFO - Epoch(train) [179][15/63] lr: 6.0574e-03 eta: 7:38:07 time: 0.3797 data_time: 0.0233 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6125 loss_db: 0.2314 loss: 3.7031 2022/08/26 00:05:00 - mmengine - INFO - Epoch(train) [179][20/63] lr: 6.0574e-03 eta: 7:38:00 time: 0.3724 data_time: 0.0171 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6304 loss_db: 0.2419 loss: 3.7320 2022/08/26 00:05:03 - mmengine - INFO - Epoch(train) [179][25/63] lr: 6.0574e-03 eta: 7:38:00 time: 0.5267 data_time: 0.0188 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6692 loss_db: 0.2401 loss: 3.7717 2022/08/26 00:05:06 - mmengine - INFO - Epoch(train) [179][30/63] lr: 6.0574e-03 eta: 7:38:03 time: 0.5472 data_time: 0.0227 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6774 loss_db: 0.2310 loss: 3.7706 2022/08/26 00:05:08 - mmengine - INFO - Epoch(train) [179][35/63] lr: 6.0574e-03 eta: 7:38:03 time: 0.4052 data_time: 0.0327 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6854 loss_db: 0.2432 loss: 3.7884 2022/08/26 00:05:09 - mmengine - INFO - Epoch(train) [179][40/63] lr: 6.0574e-03 eta: 7:37:55 time: 0.3743 data_time: 0.0252 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6642 loss_db: 0.2520 loss: 3.7754 2022/08/26 00:05:11 - mmengine - INFO - Epoch(train) [179][45/63] lr: 6.0574e-03 eta: 7:37:55 time: 0.3675 data_time: 0.0170 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6275 loss_db: 0.2387 loss: 3.7266 2022/08/26 00:05:13 - mmengine - INFO - Epoch(train) [179][50/63] lr: 6.0574e-03 eta: 7:37:48 time: 0.3727 data_time: 0.0211 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6187 loss_db: 0.2366 loss: 3.7159 2022/08/26 00:05:15 - mmengine - INFO - Epoch(train) [179][55/63] lr: 6.0574e-03 eta: 7:37:48 time: 0.3723 data_time: 0.0184 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6200 loss_db: 0.2593 loss: 3.7380 2022/08/26 00:05:17 - mmengine - INFO - Epoch(train) [179][60/63] lr: 6.0574e-03 eta: 7:37:40 time: 0.3646 data_time: 0.0148 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6303 loss_db: 0.2597 loss: 3.7488 2022/08/26 00:05:18 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:05:21 - mmengine - INFO - Epoch(train) [180][5/63] lr: 6.0520e-03 eta: 7:37:40 time: 0.5204 data_time: 0.1652 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6743 loss_db: 0.2461 loss: 3.7799 2022/08/26 00:05:23 - mmengine - INFO - Epoch(train) [180][10/63] lr: 6.0520e-03 eta: 7:37:35 time: 0.5570 data_time: 0.1723 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6564 loss_db: 0.2277 loss: 3.7440 2022/08/26 00:05:25 - mmengine - INFO - Epoch(train) [180][15/63] lr: 6.0520e-03 eta: 7:37:35 time: 0.4037 data_time: 0.0236 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6244 loss_db: 0.2229 loss: 3.7067 2022/08/26 00:05:27 - mmengine - INFO - Epoch(train) [180][20/63] lr: 6.0520e-03 eta: 7:37:27 time: 0.3618 data_time: 0.0142 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6097 loss_db: 0.2228 loss: 3.6927 2022/08/26 00:05:29 - mmengine - INFO - Epoch(train) [180][25/63] lr: 6.0520e-03 eta: 7:37:27 time: 0.3718 data_time: 0.0273 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6386 loss_db: 0.2363 loss: 3.7369 2022/08/26 00:05:31 - mmengine - INFO - Epoch(train) [180][30/63] lr: 6.0520e-03 eta: 7:37:19 time: 0.3736 data_time: 0.0223 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6488 loss_db: 0.2319 loss: 3.7423 2022/08/26 00:05:33 - mmengine - INFO - Epoch(train) [180][35/63] lr: 6.0520e-03 eta: 7:37:19 time: 0.4356 data_time: 0.0177 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6452 loss_db: 0.2381 loss: 3.7439 2022/08/26 00:05:35 - mmengine - INFO - Epoch(train) [180][40/63] lr: 6.0520e-03 eta: 7:37:16 time: 0.4374 data_time: 0.0235 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6465 loss_db: 0.2395 loss: 3.7468 2022/08/26 00:05:37 - mmengine - INFO - Epoch(train) [180][45/63] lr: 6.0520e-03 eta: 7:37:16 time: 0.3681 data_time: 0.0189 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6433 loss_db: 0.2331 loss: 3.7374 2022/08/26 00:05:39 - mmengine - INFO - Epoch(train) [180][50/63] lr: 6.0520e-03 eta: 7:37:09 time: 0.3855 data_time: 0.0198 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6328 loss_db: 0.2251 loss: 3.7190 2022/08/26 00:05:41 - mmengine - INFO - Epoch(train) [180][55/63] lr: 6.0520e-03 eta: 7:37:09 time: 0.3919 data_time: 0.0244 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6371 loss_db: 0.2218 loss: 3.7188 2022/08/26 00:05:43 - mmengine - INFO - Epoch(train) [180][60/63] lr: 6.0520e-03 eta: 7:37:05 time: 0.4353 data_time: 0.0276 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6543 loss_db: 0.2430 loss: 3.7563 2022/08/26 00:05:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:05:45 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/26 00:05:49 - mmengine - INFO - Epoch(val) [180][5/500] eta: 7:37:05 time: 0.3860 data_time: 0.0316 memory: 6760 2022/08/26 00:05:50 - mmengine - INFO - Epoch(val) [180][10/500] eta: 0:02:01 time: 0.2472 data_time: 0.0180 memory: 425 2022/08/26 00:05:51 - mmengine - INFO - Epoch(val) [180][15/500] eta: 0:02:01 time: 0.2053 data_time: 0.0019 memory: 425 2022/08/26 00:05:52 - mmengine - INFO - Epoch(val) [180][20/500] eta: 0:01:39 time: 0.2075 data_time: 0.0018 memory: 425 2022/08/26 00:05:53 - mmengine - INFO - Epoch(val) [180][25/500] eta: 0:01:39 time: 0.2073 data_time: 0.0022 memory: 425 2022/08/26 00:05:54 - mmengine - INFO - Epoch(val) [180][30/500] eta: 0:01:47 time: 0.2292 data_time: 0.0027 memory: 425 2022/08/26 00:05:55 - mmengine - INFO - Epoch(val) [180][35/500] eta: 0:01:47 time: 0.2241 data_time: 0.0024 memory: 425 2022/08/26 00:05:56 - mmengine - INFO - Epoch(val) [180][40/500] eta: 0:01:29 time: 0.1953 data_time: 0.0043 memory: 425 2022/08/26 00:05:57 - mmengine - INFO - Epoch(val) [180][45/500] eta: 0:01:29 time: 0.2045 data_time: 0.0042 memory: 425 2022/08/26 00:05:58 - mmengine - INFO - Epoch(val) [180][50/500] eta: 0:01:39 time: 0.2220 data_time: 0.0019 memory: 425 2022/08/26 00:06:00 - mmengine - INFO - Epoch(val) [180][55/500] eta: 0:01:39 time: 0.3089 data_time: 0.0066 memory: 425 2022/08/26 00:06:01 - mmengine - INFO - Epoch(val) [180][60/500] eta: 0:02:00 time: 0.2740 data_time: 0.0066 memory: 425 2022/08/26 00:06:02 - mmengine - INFO - Epoch(val) [180][65/500] eta: 0:02:00 time: 0.2195 data_time: 0.0018 memory: 425 2022/08/26 00:06:04 - mmengine - INFO - Epoch(val) [180][70/500] eta: 0:01:55 time: 0.2683 data_time: 0.0250 memory: 425 2022/08/26 00:06:04 - mmengine - INFO - Epoch(val) [180][75/500] eta: 0:01:55 time: 0.2186 data_time: 0.0250 memory: 425 2022/08/26 00:06:05 - mmengine - INFO - Epoch(val) [180][80/500] eta: 0:01:12 time: 0.1735 data_time: 0.0019 memory: 425 2022/08/26 00:06:06 - mmengine - INFO - Epoch(val) [180][85/500] eta: 0:01:12 time: 0.1759 data_time: 0.0019 memory: 425 2022/08/26 00:06:08 - mmengine - INFO - Epoch(val) [180][90/500] eta: 0:01:32 time: 0.2266 data_time: 0.0018 memory: 425 2022/08/26 00:06:09 - mmengine - INFO - Epoch(val) [180][95/500] eta: 0:01:32 time: 0.2315 data_time: 0.0027 memory: 425 2022/08/26 00:06:09 - mmengine - INFO - Epoch(val) [180][100/500] eta: 0:01:08 time: 0.1716 data_time: 0.0028 memory: 425 2022/08/26 00:06:10 - mmengine - INFO - Epoch(val) [180][105/500] eta: 0:01:08 time: 0.1813 data_time: 0.0020 memory: 425 2022/08/26 00:06:11 - mmengine - INFO - Epoch(val) [180][110/500] eta: 0:01:18 time: 0.2001 data_time: 0.0019 memory: 425 2022/08/26 00:06:13 - mmengine - INFO - Epoch(val) [180][115/500] eta: 0:01:18 time: 0.2530 data_time: 0.0081 memory: 425 2022/08/26 00:06:14 - mmengine - INFO - Epoch(val) [180][120/500] eta: 0:01:34 time: 0.2485 data_time: 0.0095 memory: 425 2022/08/26 00:06:15 - mmengine - INFO - Epoch(val) [180][125/500] eta: 0:01:34 time: 0.2239 data_time: 0.0033 memory: 425 2022/08/26 00:06:16 - mmengine - INFO - Epoch(val) [180][130/500] eta: 0:01:12 time: 0.1960 data_time: 0.0018 memory: 425 2022/08/26 00:06:17 - mmengine - INFO - Epoch(val) [180][135/500] eta: 0:01:12 time: 0.1503 data_time: 0.0018 memory: 425 2022/08/26 00:06:18 - mmengine - INFO - Epoch(val) [180][140/500] eta: 0:01:03 time: 0.1769 data_time: 0.0020 memory: 425 2022/08/26 00:06:19 - mmengine - INFO - Epoch(val) [180][145/500] eta: 0:01:03 time: 0.2090 data_time: 0.0020 memory: 425 2022/08/26 00:06:20 - mmengine - INFO - Epoch(val) [180][150/500] eta: 0:01:12 time: 0.2072 data_time: 0.0018 memory: 425 2022/08/26 00:06:21 - mmengine - INFO - Epoch(val) [180][155/500] eta: 0:01:12 time: 0.2030 data_time: 0.0019 memory: 425 2022/08/26 00:06:22 - mmengine - INFO - Epoch(val) [180][160/500] eta: 0:01:10 time: 0.2063 data_time: 0.0019 memory: 425 2022/08/26 00:06:24 - mmengine - INFO - Epoch(val) [180][165/500] eta: 0:01:10 time: 0.2752 data_time: 0.0046 memory: 425 2022/08/26 00:06:25 - mmengine - INFO - Epoch(val) [180][170/500] eta: 0:01:38 time: 0.2997 data_time: 0.0068 memory: 425 2022/08/26 00:06:26 - mmengine - INFO - Epoch(val) [180][175/500] eta: 0:01:38 time: 0.2160 data_time: 0.0040 memory: 425 2022/08/26 00:06:27 - mmengine - INFO - Epoch(val) [180][180/500] eta: 0:01:03 time: 0.1988 data_time: 0.0018 memory: 425 2022/08/26 00:06:28 - mmengine - INFO - Epoch(val) [180][185/500] eta: 0:01:03 time: 0.2250 data_time: 0.0018 memory: 425 2022/08/26 00:06:29 - mmengine - INFO - Epoch(val) [180][190/500] eta: 0:01:10 time: 0.2286 data_time: 0.0019 memory: 425 2022/08/26 00:06:30 - mmengine - INFO - Epoch(val) [180][195/500] eta: 0:01:10 time: 0.2167 data_time: 0.0020 memory: 425 2022/08/26 00:06:31 - mmengine - INFO - Epoch(val) [180][200/500] eta: 0:01:07 time: 0.2234 data_time: 0.0019 memory: 425 2022/08/26 00:06:33 - mmengine - INFO - Epoch(val) [180][205/500] eta: 0:01:07 time: 0.2681 data_time: 0.0064 memory: 425 2022/08/26 00:06:34 - mmengine - INFO - Epoch(val) [180][210/500] eta: 0:01:11 time: 0.2476 data_time: 0.0083 memory: 425 2022/08/26 00:06:34 - mmengine - INFO - Epoch(val) [180][215/500] eta: 0:01:11 time: 0.1738 data_time: 0.0038 memory: 425 2022/08/26 00:06:36 - mmengine - INFO - Epoch(val) [180][220/500] eta: 0:00:58 time: 0.2104 data_time: 0.0023 memory: 425 2022/08/26 00:06:37 - mmengine - INFO - Epoch(val) [180][225/500] eta: 0:00:58 time: 0.2459 data_time: 0.0026 memory: 425 2022/08/26 00:06:38 - mmengine - INFO - Epoch(val) [180][230/500] eta: 0:00:54 time: 0.2012 data_time: 0.0025 memory: 425 2022/08/26 00:06:39 - mmengine - INFO - Epoch(val) [180][235/500] eta: 0:00:54 time: 0.2117 data_time: 0.0022 memory: 425 2022/08/26 00:06:40 - mmengine - INFO - Epoch(val) [180][240/500] eta: 0:01:01 time: 0.2359 data_time: 0.0018 memory: 425 2022/08/26 00:06:41 - mmengine - INFO - Epoch(val) [180][245/500] eta: 0:01:01 time: 0.1903 data_time: 0.0018 memory: 425 2022/08/26 00:06:43 - mmengine - INFO - Epoch(val) [180][250/500] eta: 0:00:57 time: 0.2315 data_time: 0.0021 memory: 425 2022/08/26 00:06:44 - mmengine - INFO - Epoch(val) [180][255/500] eta: 0:00:57 time: 0.2820 data_time: 0.0123 memory: 425 2022/08/26 00:06:45 - mmengine - INFO - Epoch(val) [180][260/500] eta: 0:00:50 time: 0.2110 data_time: 0.0121 memory: 425 2022/08/26 00:06:45 - mmengine - INFO - Epoch(val) [180][265/500] eta: 0:00:50 time: 0.1478 data_time: 0.0019 memory: 425 2022/08/26 00:06:47 - mmengine - INFO - Epoch(val) [180][270/500] eta: 0:00:46 time: 0.2029 data_time: 0.0019 memory: 425 2022/08/26 00:06:47 - mmengine - INFO - Epoch(val) [180][275/500] eta: 0:00:46 time: 0.2180 data_time: 0.0018 memory: 425 2022/08/26 00:06:49 - mmengine - INFO - Epoch(val) [180][280/500] eta: 0:00:43 time: 0.1958 data_time: 0.0018 memory: 425 2022/08/26 00:06:49 - mmengine - INFO - Epoch(val) [180][285/500] eta: 0:00:43 time: 0.2006 data_time: 0.0018 memory: 425 2022/08/26 00:06:50 - mmengine - INFO - Epoch(val) [180][290/500] eta: 0:00:36 time: 0.1754 data_time: 0.0018 memory: 425 2022/08/26 00:06:51 - mmengine - INFO - Epoch(val) [180][295/500] eta: 0:00:36 time: 0.1882 data_time: 0.0020 memory: 425 2022/08/26 00:06:53 - mmengine - INFO - Epoch(val) [180][300/500] eta: 0:00:52 time: 0.2618 data_time: 0.0060 memory: 425 2022/08/26 00:06:54 - mmengine - INFO - Epoch(val) [180][305/500] eta: 0:00:52 time: 0.2712 data_time: 0.0077 memory: 425 2022/08/26 00:06:55 - mmengine - INFO - Epoch(val) [180][310/500] eta: 0:00:43 time: 0.2273 data_time: 0.0035 memory: 425 2022/08/26 00:06:56 - mmengine - INFO - Epoch(val) [180][315/500] eta: 0:00:43 time: 0.2312 data_time: 0.0022 memory: 425 2022/08/26 00:06:57 - mmengine - INFO - Epoch(val) [180][320/500] eta: 0:00:37 time: 0.2087 data_time: 0.0024 memory: 425 2022/08/26 00:06:59 - mmengine - INFO - Epoch(val) [180][325/500] eta: 0:00:37 time: 0.2421 data_time: 0.0020 memory: 425 2022/08/26 00:07:00 - mmengine - INFO - Epoch(val) [180][330/500] eta: 0:00:40 time: 0.2369 data_time: 0.0018 memory: 425 2022/08/26 00:07:01 - mmengine - INFO - Epoch(val) [180][335/500] eta: 0:00:40 time: 0.1866 data_time: 0.0018 memory: 425 2022/08/26 00:07:02 - mmengine - INFO - Epoch(val) [180][340/500] eta: 0:00:33 time: 0.2095 data_time: 0.0019 memory: 425 2022/08/26 00:07:03 - mmengine - INFO - Epoch(val) [180][345/500] eta: 0:00:33 time: 0.2411 data_time: 0.0077 memory: 425 2022/08/26 00:07:05 - mmengine - INFO - Epoch(val) [180][350/500] eta: 0:00:45 time: 0.3029 data_time: 0.0090 memory: 425 2022/08/26 00:07:06 - mmengine - INFO - Epoch(val) [180][355/500] eta: 0:00:45 time: 0.2654 data_time: 0.0032 memory: 425 2022/08/26 00:07:07 - mmengine - INFO - Epoch(val) [180][360/500] eta: 0:00:25 time: 0.1795 data_time: 0.0019 memory: 425 2022/08/26 00:07:08 - mmengine - INFO - Epoch(val) [180][365/500] eta: 0:00:25 time: 0.2058 data_time: 0.0029 memory: 425 2022/08/26 00:07:09 - mmengine - INFO - Epoch(val) [180][370/500] eta: 0:00:26 time: 0.2039 data_time: 0.0032 memory: 425 2022/08/26 00:07:10 - mmengine - INFO - Epoch(val) [180][375/500] eta: 0:00:26 time: 0.1715 data_time: 0.0020 memory: 425 2022/08/26 00:07:11 - mmengine - INFO - Epoch(val) [180][380/500] eta: 0:00:22 time: 0.1865 data_time: 0.0018 memory: 425 2022/08/26 00:07:11 - mmengine - INFO - Epoch(val) [180][385/500] eta: 0:00:22 time: 0.1895 data_time: 0.0018 memory: 425 2022/08/26 00:07:13 - mmengine - INFO - Epoch(val) [180][390/500] eta: 0:00:27 time: 0.2460 data_time: 0.0219 memory: 425 2022/08/26 00:07:14 - mmengine - INFO - Epoch(val) [180][395/500] eta: 0:00:27 time: 0.2510 data_time: 0.0241 memory: 425 2022/08/26 00:07:15 - mmengine - INFO - Epoch(val) [180][400/500] eta: 0:00:19 time: 0.1989 data_time: 0.0040 memory: 425 2022/08/26 00:07:16 - mmengine - INFO - Epoch(val) [180][405/500] eta: 0:00:19 time: 0.2104 data_time: 0.0018 memory: 425 2022/08/26 00:07:17 - mmengine - INFO - Epoch(val) [180][410/500] eta: 0:00:17 time: 0.1959 data_time: 0.0018 memory: 425 2022/08/26 00:07:18 - mmengine - INFO - Epoch(val) [180][415/500] eta: 0:00:17 time: 0.1810 data_time: 0.0020 memory: 425 2022/08/26 00:07:19 - mmengine - INFO - Epoch(val) [180][420/500] eta: 0:00:13 time: 0.1662 data_time: 0.0019 memory: 425 2022/08/26 00:07:20 - mmengine - INFO - Epoch(val) [180][425/500] eta: 0:00:13 time: 0.1908 data_time: 0.0018 memory: 425 2022/08/26 00:07:21 - mmengine - INFO - Epoch(val) [180][430/500] eta: 0:00:14 time: 0.2061 data_time: 0.0018 memory: 425 2022/08/26 00:07:22 - mmengine - INFO - Epoch(val) [180][435/500] eta: 0:00:14 time: 0.1768 data_time: 0.0018 memory: 425 2022/08/26 00:07:24 - mmengine - INFO - Epoch(val) [180][440/500] eta: 0:00:19 time: 0.3292 data_time: 0.0212 memory: 425 2022/08/26 00:07:26 - mmengine - INFO - Epoch(val) [180][445/500] eta: 0:00:19 time: 0.4013 data_time: 0.0225 memory: 425 2022/08/26 00:07:26 - mmengine - INFO - Epoch(val) [180][450/500] eta: 0:00:12 time: 0.2460 data_time: 0.0031 memory: 425 2022/08/26 00:07:27 - mmengine - INFO - Epoch(val) [180][455/500] eta: 0:00:12 time: 0.1957 data_time: 0.0018 memory: 425 2022/08/26 00:07:28 - mmengine - INFO - Epoch(val) [180][460/500] eta: 0:00:07 time: 0.1945 data_time: 0.0018 memory: 425 2022/08/26 00:07:29 - mmengine - INFO - Epoch(val) [180][465/500] eta: 0:00:07 time: 0.1778 data_time: 0.0018 memory: 425 2022/08/26 00:07:30 - mmengine - INFO - Epoch(val) [180][470/500] eta: 0:00:05 time: 0.1996 data_time: 0.0021 memory: 425 2022/08/26 00:07:31 - mmengine - INFO - Epoch(val) [180][475/500] eta: 0:00:05 time: 0.2131 data_time: 0.0022 memory: 425 2022/08/26 00:07:33 - mmengine - INFO - Epoch(val) [180][480/500] eta: 0:00:05 time: 0.2523 data_time: 0.0098 memory: 425 2022/08/26 00:07:34 - mmengine - INFO - Epoch(val) [180][485/500] eta: 0:00:05 time: 0.2303 data_time: 0.0117 memory: 425 2022/08/26 00:07:35 - mmengine - INFO - Epoch(val) [180][490/500] eta: 0:00:01 time: 0.1839 data_time: 0.0041 memory: 425 2022/08/26 00:07:36 - mmengine - INFO - Epoch(val) [180][495/500] eta: 0:00:01 time: 0.2046 data_time: 0.0021 memory: 425 2022/08/26 00:07:37 - mmengine - INFO - Epoch(val) [180][500/500] eta: 0:00:00 time: 0.1896 data_time: 0.0018 memory: 425 2022/08/26 00:07:37 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:07:37 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0048, precision: 0.0002, hmean: 0.0003 2022/08/26 00:07:37 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:07:37 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:07:37 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:07:37 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:07:37 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:07:37 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:07:37 - mmengine - INFO - Epoch(val) [180][500/500] icdar/precision: 0.0002 icdar/recall: 0.0048 icdar/hmean: 0.0003 2022/08/26 00:07:41 - mmengine - INFO - Epoch(train) [181][5/63] lr: 6.0467e-03 eta: 0:00:00 time: 0.6362 data_time: 0.2026 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6525 loss_db: 0.2453 loss: 3.7585 2022/08/26 00:07:43 - mmengine - INFO - Epoch(train) [181][10/63] lr: 6.0467e-03 eta: 7:37:05 time: 0.6388 data_time: 0.1954 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5965 loss_db: 0.2207 loss: 3.6775 2022/08/26 00:07:45 - mmengine - INFO - Epoch(train) [181][15/63] lr: 6.0467e-03 eta: 7:37:05 time: 0.3902 data_time: 0.0231 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6155 loss_db: 0.2266 loss: 3.7028 2022/08/26 00:07:47 - mmengine - INFO - Epoch(train) [181][20/63] lr: 6.0467e-03 eta: 7:36:57 time: 0.3763 data_time: 0.0146 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6665 loss_db: 0.2401 loss: 3.7681 2022/08/26 00:07:49 - mmengine - INFO - Epoch(train) [181][25/63] lr: 6.0467e-03 eta: 7:36:57 time: 0.3908 data_time: 0.0272 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6509 loss_db: 0.2397 loss: 3.7529 2022/08/26 00:07:51 - mmengine - INFO - Epoch(train) [181][30/63] lr: 6.0467e-03 eta: 7:36:51 time: 0.3863 data_time: 0.0229 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6294 loss_db: 0.2478 loss: 3.7400 2022/08/26 00:07:54 - mmengine - INFO - Epoch(train) [181][35/63] lr: 6.0467e-03 eta: 7:36:51 time: 0.5425 data_time: 0.0235 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6244 loss_db: 0.2405 loss: 3.7264 2022/08/26 00:07:56 - mmengine - INFO - Epoch(train) [181][40/63] lr: 6.0467e-03 eta: 7:36:54 time: 0.5513 data_time: 0.0315 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6146 loss_db: 0.2246 loss: 3.6996 2022/08/26 00:07:58 - mmengine - INFO - Epoch(train) [181][45/63] lr: 6.0467e-03 eta: 7:36:54 time: 0.3836 data_time: 0.0235 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6528 loss_db: 0.2289 loss: 3.7413 2022/08/26 00:08:00 - mmengine - INFO - Epoch(train) [181][50/63] lr: 6.0467e-03 eta: 7:36:47 time: 0.3857 data_time: 0.0270 memory: 6760 loss_prob: 2.8619 loss_thr: 0.7089 loss_db: 0.2421 loss: 3.8129 2022/08/26 00:08:02 - mmengine - INFO - Epoch(train) [181][55/63] lr: 6.0467e-03 eta: 7:36:47 time: 0.3714 data_time: 0.0234 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6771 loss_db: 0.2515 loss: 3.7912 2022/08/26 00:08:04 - mmengine - INFO - Epoch(train) [181][60/63] lr: 6.0467e-03 eta: 7:36:39 time: 0.3616 data_time: 0.0162 memory: 6760 loss_prob: 2.8641 loss_thr: 0.6520 loss_db: 0.2579 loss: 3.7741 2022/08/26 00:08:05 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:08:08 - mmengine - INFO - Epoch(train) [182][5/63] lr: 6.0414e-03 eta: 7:36:39 time: 0.5020 data_time: 0.1399 memory: 6760 loss_prob: 2.8641 loss_thr: 0.6737 loss_db: 0.2617 loss: 3.7994 2022/08/26 00:08:10 - mmengine - INFO - Epoch(train) [182][10/63] lr: 6.0414e-03 eta: 7:36:32 time: 0.5187 data_time: 0.1477 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6456 loss_db: 0.2494 loss: 3.7541 2022/08/26 00:08:12 - mmengine - INFO - Epoch(train) [182][15/63] lr: 6.0414e-03 eta: 7:36:32 time: 0.3955 data_time: 0.0265 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6644 loss_db: 0.2540 loss: 3.7770 2022/08/26 00:08:14 - mmengine - INFO - Epoch(train) [182][20/63] lr: 6.0414e-03 eta: 7:36:26 time: 0.3958 data_time: 0.0273 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6708 loss_db: 0.2507 loss: 3.7805 2022/08/26 00:08:16 - mmengine - INFO - Epoch(train) [182][25/63] lr: 6.0414e-03 eta: 7:36:26 time: 0.3873 data_time: 0.0244 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6328 loss_db: 0.2381 loss: 3.7290 2022/08/26 00:08:18 - mmengine - INFO - Epoch(train) [182][30/63] lr: 6.0414e-03 eta: 7:36:19 time: 0.3841 data_time: 0.0198 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6388 loss_db: 0.2375 loss: 3.7341 2022/08/26 00:08:20 - mmengine - INFO - Epoch(train) [182][35/63] lr: 6.0414e-03 eta: 7:36:19 time: 0.3760 data_time: 0.0180 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6587 loss_db: 0.2488 loss: 3.7669 2022/08/26 00:08:22 - mmengine - INFO - Epoch(train) [182][40/63] lr: 6.0414e-03 eta: 7:36:11 time: 0.3690 data_time: 0.0203 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6474 loss_db: 0.2477 loss: 3.7559 2022/08/26 00:08:24 - mmengine - INFO - Epoch(train) [182][45/63] lr: 6.0414e-03 eta: 7:36:11 time: 0.4535 data_time: 0.0287 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6432 loss_db: 0.2475 loss: 3.7500 2022/08/26 00:08:26 - mmengine - INFO - Epoch(train) [182][50/63] lr: 6.0414e-03 eta: 7:36:09 time: 0.4592 data_time: 0.0283 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6267 loss_db: 0.2365 loss: 3.7215 2022/08/26 00:08:28 - mmengine - INFO - Epoch(train) [182][55/63] lr: 6.0414e-03 eta: 7:36:09 time: 0.3748 data_time: 0.0196 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6463 loss_db: 0.2319 loss: 3.7392 2022/08/26 00:08:30 - mmengine - INFO - Epoch(train) [182][60/63] lr: 6.0414e-03 eta: 7:36:02 time: 0.3703 data_time: 0.0174 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6800 loss_db: 0.2402 loss: 3.7818 2022/08/26 00:08:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:08:35 - mmengine - INFO - Epoch(train) [183][5/63] lr: 6.0360e-03 eta: 7:36:02 time: 0.5597 data_time: 0.1717 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6426 loss_db: 0.2528 loss: 3.7545 2022/08/26 00:08:37 - mmengine - INFO - Epoch(train) [183][10/63] lr: 6.0360e-03 eta: 7:35:57 time: 0.5770 data_time: 0.1815 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6675 loss_db: 0.2438 loss: 3.7708 2022/08/26 00:08:39 - mmengine - INFO - Epoch(train) [183][15/63] lr: 6.0360e-03 eta: 7:35:57 time: 0.3807 data_time: 0.0225 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6447 loss_db: 0.2125 loss: 3.7172 2022/08/26 00:08:40 - mmengine - INFO - Epoch(train) [183][20/63] lr: 6.0360e-03 eta: 7:35:51 time: 0.3839 data_time: 0.0180 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6470 loss_db: 0.2375 loss: 3.7444 2022/08/26 00:08:43 - mmengine - INFO - Epoch(train) [183][25/63] lr: 6.0360e-03 eta: 7:35:51 time: 0.4553 data_time: 0.0213 memory: 6760 loss_prob: 2.8602 loss_thr: 0.7003 loss_db: 0.2586 loss: 3.8191 2022/08/26 00:08:45 - mmengine - INFO - Epoch(train) [183][30/63] lr: 6.0360e-03 eta: 7:35:48 time: 0.4514 data_time: 0.0246 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6998 loss_db: 0.2632 loss: 3.8223 2022/08/26 00:08:47 - mmengine - INFO - Epoch(train) [183][35/63] lr: 6.0360e-03 eta: 7:35:48 time: 0.3930 data_time: 0.0357 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6624 loss_db: 0.2587 loss: 3.7783 2022/08/26 00:08:49 - mmengine - INFO - Epoch(train) [183][40/63] lr: 6.0360e-03 eta: 7:35:41 time: 0.3770 data_time: 0.0239 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6452 loss_db: 0.2400 loss: 3.7427 2022/08/26 00:08:51 - mmengine - INFO - Epoch(train) [183][45/63] lr: 6.0360e-03 eta: 7:35:41 time: 0.3660 data_time: 0.0156 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6509 loss_db: 0.2425 loss: 3.7532 2022/08/26 00:08:53 - mmengine - INFO - Epoch(train) [183][50/63] lr: 6.0360e-03 eta: 7:35:37 time: 0.4377 data_time: 0.0563 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6770 loss_db: 0.2521 loss: 3.7913 2022/08/26 00:08:56 - mmengine - INFO - Epoch(train) [183][55/63] lr: 6.0360e-03 eta: 7:35:37 time: 0.5123 data_time: 0.0564 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6690 loss_db: 0.2421 loss: 3.7737 2022/08/26 00:08:58 - mmengine - INFO - Epoch(train) [183][60/63] lr: 6.0360e-03 eta: 7:35:35 time: 0.4650 data_time: 0.0285 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6398 loss_db: 0.2252 loss: 3.7261 2022/08/26 00:08:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:09:02 - mmengine - INFO - Epoch(train) [184][5/63] lr: 6.0307e-03 eta: 7:35:35 time: 0.5407 data_time: 0.1886 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6563 loss_db: 0.2427 loss: 3.7583 2022/08/26 00:09:04 - mmengine - INFO - Epoch(train) [184][10/63] lr: 6.0307e-03 eta: 7:35:30 time: 0.5656 data_time: 0.1990 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6516 loss_db: 0.2528 loss: 3.7638 2022/08/26 00:09:06 - mmengine - INFO - Epoch(train) [184][15/63] lr: 6.0307e-03 eta: 7:35:30 time: 0.3823 data_time: 0.0169 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6553 loss_db: 0.2450 loss: 3.7612 2022/08/26 00:09:08 - mmengine - INFO - Epoch(train) [184][20/63] lr: 6.0307e-03 eta: 7:35:23 time: 0.3801 data_time: 0.0197 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6193 loss_db: 0.2356 loss: 3.7145 2022/08/26 00:09:10 - mmengine - INFO - Epoch(train) [184][25/63] lr: 6.0307e-03 eta: 7:35:23 time: 0.3889 data_time: 0.0242 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6551 loss_db: 0.2347 loss: 3.7495 2022/08/26 00:09:12 - mmengine - INFO - Epoch(train) [184][30/63] lr: 6.0307e-03 eta: 7:35:16 time: 0.3795 data_time: 0.0163 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6914 loss_db: 0.2378 loss: 3.7896 2022/08/26 00:09:16 - mmengine - INFO - Epoch(train) [184][35/63] lr: 6.0307e-03 eta: 7:35:16 time: 0.5451 data_time: 0.0333 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6537 loss_db: 0.2343 loss: 3.7467 2022/08/26 00:09:18 - mmengine - INFO - Epoch(train) [184][40/63] lr: 6.0307e-03 eta: 7:35:19 time: 0.5613 data_time: 0.0386 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6368 loss_db: 0.2311 loss: 3.7262 2022/08/26 00:09:19 - mmengine - INFO - Epoch(train) [184][45/63] lr: 6.0307e-03 eta: 7:35:19 time: 0.3853 data_time: 0.0298 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6348 loss_db: 0.2291 loss: 3.7238 2022/08/26 00:09:21 - mmengine - INFO - Epoch(train) [184][50/63] lr: 6.0307e-03 eta: 7:35:13 time: 0.3822 data_time: 0.0280 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6394 loss_db: 0.2242 loss: 3.7250 2022/08/26 00:09:23 - mmengine - INFO - Epoch(train) [184][55/63] lr: 6.0307e-03 eta: 7:35:13 time: 0.3803 data_time: 0.0162 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6359 loss_db: 0.2400 loss: 3.7376 2022/08/26 00:09:25 - mmengine - INFO - Epoch(train) [184][60/63] lr: 6.0307e-03 eta: 7:35:06 time: 0.3786 data_time: 0.0180 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6249 loss_db: 0.2506 loss: 3.7370 2022/08/26 00:09:26 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:09:30 - mmengine - INFO - Epoch(train) [185][5/63] lr: 6.0253e-03 eta: 7:35:06 time: 0.5124 data_time: 0.1522 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6226 loss_db: 0.2219 loss: 3.7043 2022/08/26 00:09:32 - mmengine - INFO - Epoch(train) [185][10/63] lr: 6.0253e-03 eta: 7:35:00 time: 0.5450 data_time: 0.1666 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6470 loss_db: 0.2462 loss: 3.7534 2022/08/26 00:09:34 - mmengine - INFO - Epoch(train) [185][15/63] lr: 6.0253e-03 eta: 7:35:00 time: 0.3958 data_time: 0.0261 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6550 loss_db: 0.2691 loss: 3.7826 2022/08/26 00:09:35 - mmengine - INFO - Epoch(train) [185][20/63] lr: 6.0253e-03 eta: 7:34:53 time: 0.3834 data_time: 0.0221 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6676 loss_db: 0.2611 loss: 3.7859 2022/08/26 00:09:37 - mmengine - INFO - Epoch(train) [185][25/63] lr: 6.0253e-03 eta: 7:34:53 time: 0.3847 data_time: 0.0248 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6813 loss_db: 0.2695 loss: 3.8098 2022/08/26 00:09:39 - mmengine - INFO - Epoch(train) [185][30/63] lr: 6.0253e-03 eta: 7:34:47 time: 0.3935 data_time: 0.0178 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6888 loss_db: 0.2699 loss: 3.8177 2022/08/26 00:09:41 - mmengine - INFO - Epoch(train) [185][35/63] lr: 6.0253e-03 eta: 7:34:47 time: 0.3930 data_time: 0.0168 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6830 loss_db: 0.2341 loss: 3.7751 2022/08/26 00:09:45 - mmengine - INFO - Epoch(train) [185][40/63] lr: 6.0253e-03 eta: 7:34:50 time: 0.5542 data_time: 0.0290 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6357 loss_db: 0.2281 loss: 3.7203 2022/08/26 00:09:47 - mmengine - INFO - Epoch(train) [185][45/63] lr: 6.0253e-03 eta: 7:34:50 time: 0.5440 data_time: 0.0319 memory: 6760 loss_prob: 2.8562 loss_thr: 0.6341 loss_db: 0.2437 loss: 3.7341 2022/08/26 00:09:49 - mmengine - INFO - Epoch(train) [185][50/63] lr: 6.0253e-03 eta: 7:34:43 time: 0.3752 data_time: 0.0223 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6490 loss_db: 0.2493 loss: 3.7554 2022/08/26 00:09:51 - mmengine - INFO - Epoch(train) [185][55/63] lr: 6.0253e-03 eta: 7:34:43 time: 0.3696 data_time: 0.0184 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6426 loss_db: 0.2423 loss: 3.7431 2022/08/26 00:09:53 - mmengine - INFO - Epoch(train) [185][60/63] lr: 6.0253e-03 eta: 7:34:37 time: 0.3932 data_time: 0.0181 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6575 loss_db: 0.2286 loss: 3.7454 2022/08/26 00:09:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:09:57 - mmengine - INFO - Epoch(train) [186][5/63] lr: 6.0200e-03 eta: 7:34:37 time: 0.5499 data_time: 0.1696 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6340 loss_db: 0.2248 loss: 3.7176 2022/08/26 00:09:59 - mmengine - INFO - Epoch(train) [186][10/63] lr: 6.0200e-03 eta: 7:34:30 time: 0.5287 data_time: 0.1654 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6253 loss_db: 0.2337 loss: 3.7171 2022/08/26 00:10:01 - mmengine - INFO - Epoch(train) [186][15/63] lr: 6.0200e-03 eta: 7:34:30 time: 0.3718 data_time: 0.0199 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6253 loss_db: 0.2410 loss: 3.7250 2022/08/26 00:10:03 - mmengine - INFO - Epoch(train) [186][20/63] lr: 6.0200e-03 eta: 7:34:25 time: 0.4235 data_time: 0.0177 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6720 loss_db: 0.2681 loss: 3.8002 2022/08/26 00:10:05 - mmengine - INFO - Epoch(train) [186][25/63] lr: 6.0200e-03 eta: 7:34:25 time: 0.4338 data_time: 0.0254 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6738 loss_db: 0.2624 loss: 3.7956 2022/08/26 00:10:08 - mmengine - INFO - Epoch(train) [186][30/63] lr: 6.0200e-03 eta: 7:34:21 time: 0.4370 data_time: 0.0245 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6266 loss_db: 0.2296 loss: 3.7157 2022/08/26 00:10:10 - mmengine - INFO - Epoch(train) [186][35/63] lr: 6.0200e-03 eta: 7:34:21 time: 0.4303 data_time: 0.0188 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6319 loss_db: 0.2217 loss: 3.7157 2022/08/26 00:10:11 - mmengine - INFO - Epoch(train) [186][40/63] lr: 6.0200e-03 eta: 7:34:14 time: 0.3765 data_time: 0.0181 memory: 6760 loss_prob: 2.8625 loss_thr: 0.6481 loss_db: 0.2352 loss: 3.7459 2022/08/26 00:10:15 - mmengine - INFO - Epoch(train) [186][45/63] lr: 6.0200e-03 eta: 7:34:14 time: 0.5103 data_time: 0.0290 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6379 loss_db: 0.2374 loss: 3.7361 2022/08/26 00:10:17 - mmengine - INFO - Epoch(train) [186][50/63] lr: 6.0200e-03 eta: 7:34:15 time: 0.5182 data_time: 0.0365 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6362 loss_db: 0.2260 loss: 3.7231 2022/08/26 00:10:18 - mmengine - INFO - Epoch(train) [186][55/63] lr: 6.0200e-03 eta: 7:34:15 time: 0.3808 data_time: 0.0254 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6458 loss_db: 0.2277 loss: 3.7355 2022/08/26 00:10:20 - mmengine - INFO - Epoch(train) [186][60/63] lr: 6.0200e-03 eta: 7:34:09 time: 0.3838 data_time: 0.0181 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6384 loss_db: 0.2313 loss: 3.7306 2022/08/26 00:10:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:10:25 - mmengine - INFO - Epoch(train) [187][5/63] lr: 6.0146e-03 eta: 7:34:09 time: 0.5064 data_time: 0.1465 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6137 loss_db: 0.2320 loss: 3.7053 2022/08/26 00:10:27 - mmengine - INFO - Epoch(train) [187][10/63] lr: 6.0146e-03 eta: 7:34:01 time: 0.5190 data_time: 0.1546 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6257 loss_db: 0.2339 loss: 3.7188 2022/08/26 00:10:29 - mmengine - INFO - Epoch(train) [187][15/63] lr: 6.0146e-03 eta: 7:34:01 time: 0.3768 data_time: 0.0244 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6369 loss_db: 0.2331 loss: 3.7287 2022/08/26 00:10:30 - mmengine - INFO - Epoch(train) [187][20/63] lr: 6.0146e-03 eta: 7:33:54 time: 0.3670 data_time: 0.0221 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6189 loss_db: 0.2248 loss: 3.7033 2022/08/26 00:10:33 - mmengine - INFO - Epoch(train) [187][25/63] lr: 6.0146e-03 eta: 7:33:54 time: 0.4028 data_time: 0.0200 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5865 loss_db: 0.2139 loss: 3.6605 2022/08/26 00:10:36 - mmengine - INFO - Epoch(train) [187][30/63] lr: 6.0146e-03 eta: 7:33:58 time: 0.5903 data_time: 0.0537 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6242 loss_db: 0.2277 loss: 3.7125 2022/08/26 00:10:38 - mmengine - INFO - Epoch(train) [187][35/63] lr: 6.0146e-03 eta: 7:33:58 time: 0.5663 data_time: 0.0582 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6481 loss_db: 0.2333 loss: 3.7419 2022/08/26 00:10:40 - mmengine - INFO - Epoch(train) [187][40/63] lr: 6.0146e-03 eta: 7:33:51 time: 0.3746 data_time: 0.0213 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6308 loss_db: 0.2275 loss: 3.7168 2022/08/26 00:10:42 - mmengine - INFO - Epoch(train) [187][45/63] lr: 6.0146e-03 eta: 7:33:51 time: 0.3897 data_time: 0.0252 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6427 loss_db: 0.2244 loss: 3.7249 2022/08/26 00:10:44 - mmengine - INFO - Epoch(train) [187][50/63] lr: 6.0146e-03 eta: 7:33:45 time: 0.3977 data_time: 0.0246 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6440 loss_db: 0.2218 loss: 3.7241 2022/08/26 00:10:46 - mmengine - INFO - Epoch(train) [187][55/63] lr: 6.0146e-03 eta: 7:33:45 time: 0.3872 data_time: 0.0190 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6353 loss_db: 0.2262 loss: 3.7201 2022/08/26 00:10:48 - mmengine - INFO - Epoch(train) [187][60/63] lr: 6.0146e-03 eta: 7:33:39 time: 0.3885 data_time: 0.0196 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6174 loss_db: 0.2202 loss: 3.6967 2022/08/26 00:10:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:10:52 - mmengine - INFO - Epoch(train) [188][5/63] lr: 6.0093e-03 eta: 7:33:39 time: 0.5025 data_time: 0.1512 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6392 loss_db: 0.2345 loss: 3.7330 2022/08/26 00:10:55 - mmengine - INFO - Epoch(train) [188][10/63] lr: 6.0093e-03 eta: 7:33:34 time: 0.5719 data_time: 0.1560 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6160 loss_db: 0.2192 loss: 3.6952 2022/08/26 00:10:56 - mmengine - INFO - Epoch(train) [188][15/63] lr: 6.0093e-03 eta: 7:33:34 time: 0.4330 data_time: 0.0234 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6074 loss_db: 0.2022 loss: 3.6705 2022/08/26 00:10:58 - mmengine - INFO - Epoch(train) [188][20/63] lr: 6.0093e-03 eta: 7:33:27 time: 0.3766 data_time: 0.0181 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6366 loss_db: 0.2060 loss: 3.7055 2022/08/26 00:11:01 - mmengine - INFO - Epoch(train) [188][25/63] lr: 6.0093e-03 eta: 7:33:27 time: 0.4148 data_time: 0.0231 memory: 6760 loss_prob: 2.8636 loss_thr: 0.6427 loss_db: 0.2241 loss: 3.7305 2022/08/26 00:11:03 - mmengine - INFO - Epoch(train) [188][30/63] lr: 6.0093e-03 eta: 7:33:23 time: 0.4190 data_time: 0.0202 memory: 6760 loss_prob: 2.8633 loss_thr: 0.6299 loss_db: 0.2271 loss: 3.7202 2022/08/26 00:11:04 - mmengine - INFO - Epoch(train) [188][35/63] lr: 6.0093e-03 eta: 7:33:23 time: 0.3853 data_time: 0.0223 memory: 6760 loss_prob: 2.8645 loss_thr: 0.6217 loss_db: 0.2157 loss: 3.7019 2022/08/26 00:11:06 - mmengine - INFO - Epoch(train) [188][40/63] lr: 6.0093e-03 eta: 7:33:15 time: 0.3670 data_time: 0.0200 memory: 6760 loss_prob: 2.8638 loss_thr: 0.6121 loss_db: 0.2174 loss: 3.6934 2022/08/26 00:11:08 - mmengine - INFO - Epoch(train) [188][45/63] lr: 6.0093e-03 eta: 7:33:15 time: 0.3700 data_time: 0.0189 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6174 loss_db: 0.2217 loss: 3.7014 2022/08/26 00:11:10 - mmengine - INFO - Epoch(train) [188][50/63] lr: 6.0093e-03 eta: 7:33:09 time: 0.3841 data_time: 0.0238 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6290 loss_db: 0.2253 loss: 3.7161 2022/08/26 00:11:12 - mmengine - INFO - Epoch(train) [188][55/63] lr: 6.0093e-03 eta: 7:33:09 time: 0.3764 data_time: 0.0220 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6683 loss_db: 0.2507 loss: 3.7798 2022/08/26 00:11:15 - mmengine - INFO - Epoch(train) [188][60/63] lr: 6.0093e-03 eta: 7:33:09 time: 0.5047 data_time: 0.0349 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6718 loss_db: 0.2491 loss: 3.7814 2022/08/26 00:11:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:11:20 - mmengine - INFO - Epoch(train) [189][5/63] lr: 6.0040e-03 eta: 7:33:09 time: 0.5661 data_time: 0.1954 memory: 6760 loss_prob: 2.8594 loss_thr: 0.5960 loss_db: 0.1996 loss: 3.6550 2022/08/26 00:11:22 - mmengine - INFO - Epoch(train) [189][10/63] lr: 6.0040e-03 eta: 7:33:05 time: 0.5790 data_time: 0.2048 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6082 loss_db: 0.2237 loss: 3.6897 2022/08/26 00:11:24 - mmengine - INFO - Epoch(train) [189][15/63] lr: 6.0040e-03 eta: 7:33:05 time: 0.3926 data_time: 0.0233 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6622 loss_db: 0.2558 loss: 3.7753 2022/08/26 00:11:26 - mmengine - INFO - Epoch(train) [189][20/63] lr: 6.0040e-03 eta: 7:32:58 time: 0.3864 data_time: 0.0178 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6719 loss_db: 0.2556 loss: 3.7852 2022/08/26 00:11:28 - mmengine - INFO - Epoch(train) [189][25/63] lr: 6.0040e-03 eta: 7:32:58 time: 0.3885 data_time: 0.0235 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6180 loss_db: 0.2256 loss: 3.7026 2022/08/26 00:11:30 - mmengine - INFO - Epoch(train) [189][30/63] lr: 6.0040e-03 eta: 7:32:51 time: 0.3771 data_time: 0.0191 memory: 6760 loss_prob: 2.8630 loss_thr: 0.5921 loss_db: 0.2084 loss: 3.6635 2022/08/26 00:11:32 - mmengine - INFO - Epoch(train) [189][35/63] lr: 6.0040e-03 eta: 7:32:51 time: 0.3736 data_time: 0.0157 memory: 6760 loss_prob: 2.8639 loss_thr: 0.6260 loss_db: 0.2220 loss: 3.7119 2022/08/26 00:11:36 - mmengine - INFO - Epoch(train) [189][40/63] lr: 6.0040e-03 eta: 7:32:56 time: 0.5925 data_time: 0.0252 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6669 loss_db: 0.2421 loss: 3.7704 2022/08/26 00:11:37 - mmengine - INFO - Epoch(train) [189][45/63] lr: 6.0040e-03 eta: 7:32:56 time: 0.5817 data_time: 0.0282 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6649 loss_db: 0.2576 loss: 3.7845 2022/08/26 00:11:39 - mmengine - INFO - Epoch(train) [189][50/63] lr: 6.0040e-03 eta: 7:32:49 time: 0.3743 data_time: 0.0271 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6517 loss_db: 0.2495 loss: 3.7619 2022/08/26 00:11:41 - mmengine - INFO - Epoch(train) [189][55/63] lr: 6.0040e-03 eta: 7:32:49 time: 0.3687 data_time: 0.0192 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6535 loss_db: 0.2317 loss: 3.7432 2022/08/26 00:11:43 - mmengine - INFO - Epoch(train) [189][60/63] lr: 6.0040e-03 eta: 7:32:41 time: 0.3656 data_time: 0.0176 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6263 loss_db: 0.2319 loss: 3.7154 2022/08/26 00:11:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:11:47 - mmengine - INFO - Epoch(train) [190][5/63] lr: 5.9986e-03 eta: 7:32:41 time: 0.4945 data_time: 0.1430 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6648 loss_db: 0.2292 loss: 3.7526 2022/08/26 00:11:49 - mmengine - INFO - Epoch(train) [190][10/63] lr: 5.9986e-03 eta: 7:32:33 time: 0.5123 data_time: 0.1559 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6418 loss_db: 0.2220 loss: 3.7209 2022/08/26 00:11:51 - mmengine - INFO - Epoch(train) [190][15/63] lr: 5.9986e-03 eta: 7:32:33 time: 0.3655 data_time: 0.0244 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6431 loss_db: 0.2269 loss: 3.7304 2022/08/26 00:11:58 - mmengine - INFO - Epoch(train) [190][20/63] lr: 5.9986e-03 eta: 7:32:55 time: 0.9062 data_time: 0.0167 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6616 loss_db: 0.2390 loss: 3.7627 2022/08/26 00:12:01 - mmengine - INFO - Epoch(train) [190][25/63] lr: 5.9986e-03 eta: 7:32:55 time: 0.9956 data_time: 0.0451 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6406 loss_db: 0.2229 loss: 3.7228 2022/08/26 00:12:03 - mmengine - INFO - Epoch(train) [190][30/63] lr: 5.9986e-03 eta: 7:32:53 time: 0.4813 data_time: 0.0743 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6199 loss_db: 0.2293 loss: 3.7079 2022/08/26 00:12:05 - mmengine - INFO - Epoch(train) [190][35/63] lr: 5.9986e-03 eta: 7:32:53 time: 0.4032 data_time: 0.0523 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6387 loss_db: 0.2338 loss: 3.7317 2022/08/26 00:12:07 - mmengine - INFO - Epoch(train) [190][40/63] lr: 5.9986e-03 eta: 7:32:46 time: 0.3729 data_time: 0.0182 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6207 loss_db: 0.2093 loss: 3.6909 2022/08/26 00:12:09 - mmengine - INFO - Epoch(train) [190][45/63] lr: 5.9986e-03 eta: 7:32:46 time: 0.3757 data_time: 0.0170 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6272 loss_db: 0.2319 loss: 3.7208 2022/08/26 00:12:11 - mmengine - INFO - Epoch(train) [190][50/63] lr: 5.9986e-03 eta: 7:32:40 time: 0.3965 data_time: 0.0279 memory: 6760 loss_prob: 2.8623 loss_thr: 0.7131 loss_db: 0.2819 loss: 3.8573 2022/08/26 00:12:12 - mmengine - INFO - Epoch(train) [190][55/63] lr: 5.9986e-03 eta: 7:32:40 time: 0.3888 data_time: 0.0257 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6683 loss_db: 0.2637 loss: 3.7924 2022/08/26 00:12:16 - mmengine - INFO - Epoch(train) [190][60/63] lr: 5.9986e-03 eta: 7:32:44 time: 0.5706 data_time: 0.1004 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6464 loss_db: 0.2500 loss: 3.7586 2022/08/26 00:12:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:12:21 - mmengine - INFO - Epoch(train) [191][5/63] lr: 5.9933e-03 eta: 7:32:44 time: 0.5205 data_time: 0.1647 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6318 loss_db: 0.2313 loss: 3.7232 2022/08/26 00:12:23 - mmengine - INFO - Epoch(train) [191][10/63] lr: 5.9933e-03 eta: 7:32:39 time: 0.5635 data_time: 0.1761 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6157 loss_db: 0.2175 loss: 3.6893 2022/08/26 00:12:25 - mmengine - INFO - Epoch(train) [191][15/63] lr: 5.9933e-03 eta: 7:32:39 time: 0.4003 data_time: 0.0271 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6689 loss_db: 0.2341 loss: 3.7592 2022/08/26 00:12:27 - mmengine - INFO - Epoch(train) [191][20/63] lr: 5.9933e-03 eta: 7:32:32 time: 0.3753 data_time: 0.0193 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6874 loss_db: 0.2591 loss: 3.8038 2022/08/26 00:12:29 - mmengine - INFO - Epoch(train) [191][25/63] lr: 5.9933e-03 eta: 7:32:32 time: 0.3781 data_time: 0.0249 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6607 loss_db: 0.2489 loss: 3.7660 2022/08/26 00:12:30 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:12:30 - mmengine - INFO - Epoch(train) [191][30/63] lr: 5.9933e-03 eta: 7:32:24 time: 0.3702 data_time: 0.0166 memory: 6760 loss_prob: 2.8559 loss_thr: 0.6588 loss_db: 0.2470 loss: 3.7617 2022/08/26 00:12:32 - mmengine - INFO - Epoch(train) [191][35/63] lr: 5.9933e-03 eta: 7:32:24 time: 0.3812 data_time: 0.0165 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6619 loss_db: 0.2555 loss: 3.7740 2022/08/26 00:12:38 - mmengine - INFO - Epoch(train) [191][40/63] lr: 5.9933e-03 eta: 7:32:37 time: 0.7430 data_time: 0.0517 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6382 loss_db: 0.2389 loss: 3.7352 2022/08/26 00:12:40 - mmengine - INFO - Epoch(train) [191][45/63] lr: 5.9933e-03 eta: 7:32:37 time: 0.7371 data_time: 0.0510 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6116 loss_db: 0.2093 loss: 3.6801 2022/08/26 00:12:42 - mmengine - INFO - Epoch(train) [191][50/63] lr: 5.9933e-03 eta: 7:32:31 time: 0.3888 data_time: 0.0238 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6258 loss_db: 0.2190 loss: 3.7034 2022/08/26 00:12:44 - mmengine - INFO - Epoch(train) [191][55/63] lr: 5.9933e-03 eta: 7:32:31 time: 0.4058 data_time: 0.0284 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6535 loss_db: 0.2514 loss: 3.7630 2022/08/26 00:12:46 - mmengine - INFO - Epoch(train) [191][60/63] lr: 5.9933e-03 eta: 7:32:25 time: 0.3960 data_time: 0.0304 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6469 loss_db: 0.2533 loss: 3.7589 2022/08/26 00:12:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:12:50 - mmengine - INFO - Epoch(train) [192][5/63] lr: 5.9879e-03 eta: 7:32:25 time: 0.5124 data_time: 0.1362 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6418 loss_db: 0.2334 loss: 3.7352 2022/08/26 00:12:52 - mmengine - INFO - Epoch(train) [192][10/63] lr: 5.9879e-03 eta: 7:32:16 time: 0.4898 data_time: 0.1386 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6182 loss_db: 0.2215 loss: 3.6998 2022/08/26 00:12:54 - mmengine - INFO - Epoch(train) [192][15/63] lr: 5.9879e-03 eta: 7:32:16 time: 0.4165 data_time: 0.0259 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6272 loss_db: 0.2410 loss: 3.7267 2022/08/26 00:12:56 - mmengine - INFO - Epoch(train) [192][20/63] lr: 5.9879e-03 eta: 7:32:12 time: 0.4325 data_time: 0.0324 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6511 loss_db: 0.2380 loss: 3.7486 2022/08/26 00:12:58 - mmengine - INFO - Epoch(train) [192][25/63] lr: 5.9879e-03 eta: 7:32:12 time: 0.3848 data_time: 0.0232 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6481 loss_db: 0.2108 loss: 3.7194 2022/08/26 00:13:00 - mmengine - INFO - Epoch(train) [192][30/63] lr: 5.9879e-03 eta: 7:32:06 time: 0.3961 data_time: 0.0206 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6391 loss_db: 0.2177 loss: 3.7172 2022/08/26 00:13:02 - mmengine - INFO - Epoch(train) [192][35/63] lr: 5.9879e-03 eta: 7:32:06 time: 0.3966 data_time: 0.0200 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6545 loss_db: 0.2300 loss: 3.7433 2022/08/26 00:13:04 - mmengine - INFO - Epoch(train) [192][40/63] lr: 5.9879e-03 eta: 7:32:00 time: 0.3987 data_time: 0.0183 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6330 loss_db: 0.2302 loss: 3.7209 2022/08/26 00:13:06 - mmengine - INFO - Epoch(train) [192][45/63] lr: 5.9879e-03 eta: 7:32:00 time: 0.4068 data_time: 0.0260 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6176 loss_db: 0.2280 loss: 3.7056 2022/08/26 00:13:08 - mmengine - INFO - Epoch(train) [192][50/63] lr: 5.9879e-03 eta: 7:31:54 time: 0.3963 data_time: 0.0276 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6601 loss_db: 0.2322 loss: 3.7551 2022/08/26 00:13:10 - mmengine - INFO - Epoch(train) [192][55/63] lr: 5.9879e-03 eta: 7:31:54 time: 0.3822 data_time: 0.0217 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6707 loss_db: 0.2842 loss: 3.8168 2022/08/26 00:13:12 - mmengine - INFO - Epoch(train) [192][60/63] lr: 5.9879e-03 eta: 7:31:47 time: 0.3750 data_time: 0.0191 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6551 loss_db: 0.2901 loss: 3.8031 2022/08/26 00:13:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:13:18 - mmengine - INFO - Epoch(train) [193][5/63] lr: 5.9826e-03 eta: 7:31:47 time: 0.6725 data_time: 0.1881 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6556 loss_db: 0.2161 loss: 3.7280 2022/08/26 00:13:20 - mmengine - INFO - Epoch(train) [193][10/63] lr: 5.9826e-03 eta: 7:31:42 time: 0.5613 data_time: 0.1975 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6167 loss_db: 0.2316 loss: 3.7056 2022/08/26 00:13:22 - mmengine - INFO - Epoch(train) [193][15/63] lr: 5.9826e-03 eta: 7:31:42 time: 0.3756 data_time: 0.0246 memory: 6760 loss_prob: 2.8581 loss_thr: 0.5837 loss_db: 0.2118 loss: 3.6536 2022/08/26 00:13:24 - mmengine - INFO - Epoch(train) [193][20/63] lr: 5.9826e-03 eta: 7:31:35 time: 0.3783 data_time: 0.0201 memory: 6760 loss_prob: 2.8573 loss_thr: 0.5972 loss_db: 0.2146 loss: 3.6691 2022/08/26 00:13:25 - mmengine - INFO - Epoch(train) [193][25/63] lr: 5.9826e-03 eta: 7:31:35 time: 0.3790 data_time: 0.0183 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6760 loss_db: 0.2565 loss: 3.7915 2022/08/26 00:13:27 - mmengine - INFO - Epoch(train) [193][30/63] lr: 5.9826e-03 eta: 7:31:28 time: 0.3766 data_time: 0.0182 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6864 loss_db: 0.2489 loss: 3.7958 2022/08/26 00:13:29 - mmengine - INFO - Epoch(train) [193][35/63] lr: 5.9826e-03 eta: 7:31:28 time: 0.3905 data_time: 0.0225 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6609 loss_db: 0.2490 loss: 3.7688 2022/08/26 00:13:31 - mmengine - INFO - Epoch(train) [193][40/63] lr: 5.9826e-03 eta: 7:31:22 time: 0.3866 data_time: 0.0228 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6803 loss_db: 0.2643 loss: 3.8039 2022/08/26 00:13:34 - mmengine - INFO - Epoch(train) [193][45/63] lr: 5.9826e-03 eta: 7:31:22 time: 0.4383 data_time: 0.0292 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6798 loss_db: 0.2443 loss: 3.7848 2022/08/26 00:13:36 - mmengine - INFO - Epoch(train) [193][50/63] lr: 5.9826e-03 eta: 7:31:19 time: 0.4446 data_time: 0.0288 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6486 loss_db: 0.2294 loss: 3.7379 2022/08/26 00:13:38 - mmengine - INFO - Epoch(train) [193][55/63] lr: 5.9826e-03 eta: 7:31:19 time: 0.3896 data_time: 0.0240 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6337 loss_db: 0.2235 loss: 3.7169 2022/08/26 00:13:40 - mmengine - INFO - Epoch(train) [193][60/63] lr: 5.9826e-03 eta: 7:31:12 time: 0.3810 data_time: 0.0219 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6334 loss_db: 0.2444 loss: 3.7373 2022/08/26 00:13:40 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:13:44 - mmengine - INFO - Epoch(train) [194][5/63] lr: 5.9772e-03 eta: 7:31:12 time: 0.5552 data_time: 0.1518 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6042 loss_db: 0.2195 loss: 3.6819 2022/08/26 00:13:46 - mmengine - INFO - Epoch(train) [194][10/63] lr: 5.9772e-03 eta: 7:31:07 time: 0.5763 data_time: 0.1529 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6309 loss_db: 0.2477 loss: 3.7377 2022/08/26 00:13:48 - mmengine - INFO - Epoch(train) [194][15/63] lr: 5.9772e-03 eta: 7:31:07 time: 0.3785 data_time: 0.0195 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6496 loss_db: 0.2694 loss: 3.7776 2022/08/26 00:13:50 - mmengine - INFO - Epoch(train) [194][20/63] lr: 5.9772e-03 eta: 7:31:00 time: 0.3671 data_time: 0.0161 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6560 loss_db: 0.2416 loss: 3.7547 2022/08/26 00:13:52 - mmengine - INFO - Epoch(train) [194][25/63] lr: 5.9772e-03 eta: 7:31:00 time: 0.3843 data_time: 0.0270 memory: 6760 loss_prob: 2.8540 loss_thr: 0.6499 loss_db: 0.2568 loss: 3.7608 2022/08/26 00:13:55 - mmengine - INFO - Epoch(train) [194][30/63] lr: 5.9772e-03 eta: 7:30:59 time: 0.4849 data_time: 0.0566 memory: 6760 loss_prob: 2.8539 loss_thr: 0.6468 loss_db: 0.2620 loss: 3.7628 2022/08/26 00:13:57 - mmengine - INFO - Epoch(train) [194][35/63] lr: 5.9772e-03 eta: 7:30:59 time: 0.5496 data_time: 0.0527 memory: 6760 loss_prob: 2.8552 loss_thr: 0.6346 loss_db: 0.2300 loss: 3.7199 2022/08/26 00:13:59 - mmengine - INFO - Epoch(train) [194][40/63] lr: 5.9772e-03 eta: 7:30:56 time: 0.4554 data_time: 0.0215 memory: 6760 loss_prob: 2.8562 loss_thr: 0.6367 loss_db: 0.2379 loss: 3.7307 2022/08/26 00:14:01 - mmengine - INFO - Epoch(train) [194][45/63] lr: 5.9772e-03 eta: 7:30:56 time: 0.3735 data_time: 0.0179 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6458 loss_db: 0.2278 loss: 3.7328 2022/08/26 00:14:03 - mmengine - INFO - Epoch(train) [194][50/63] lr: 5.9772e-03 eta: 7:30:49 time: 0.3751 data_time: 0.0253 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6569 loss_db: 0.2331 loss: 3.7491 2022/08/26 00:14:05 - mmengine - INFO - Epoch(train) [194][55/63] lr: 5.9772e-03 eta: 7:30:49 time: 0.3791 data_time: 0.0241 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6455 loss_db: 0.2397 loss: 3.7438 2022/08/26 00:14:07 - mmengine - INFO - Epoch(train) [194][60/63] lr: 5.9772e-03 eta: 7:30:42 time: 0.3735 data_time: 0.0181 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6168 loss_db: 0.2250 loss: 3.7017 2022/08/26 00:14:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:14:11 - mmengine - INFO - Epoch(train) [195][5/63] lr: 5.9719e-03 eta: 7:30:42 time: 0.5011 data_time: 0.1433 memory: 6760 loss_prob: 2.8602 loss_thr: 0.7025 loss_db: 0.2532 loss: 3.8159 2022/08/26 00:14:14 - mmengine - INFO - Epoch(train) [195][10/63] lr: 5.9719e-03 eta: 7:30:39 time: 0.6028 data_time: 0.1578 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6898 loss_db: 0.2722 loss: 3.8219 2022/08/26 00:14:16 - mmengine - INFO - Epoch(train) [195][15/63] lr: 5.9719e-03 eta: 7:30:39 time: 0.4741 data_time: 0.0359 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6363 loss_db: 0.2628 loss: 3.7593 2022/08/26 00:14:18 - mmengine - INFO - Epoch(train) [195][20/63] lr: 5.9719e-03 eta: 7:30:32 time: 0.3759 data_time: 0.0241 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6202 loss_db: 0.2356 loss: 3.7182 2022/08/26 00:14:20 - mmengine - INFO - Epoch(train) [195][25/63] lr: 5.9719e-03 eta: 7:30:32 time: 0.3706 data_time: 0.0197 memory: 6760 loss_prob: 2.8638 loss_thr: 0.6684 loss_db: 0.2333 loss: 3.7655 2022/08/26 00:14:22 - mmengine - INFO - Epoch(train) [195][30/63] lr: 5.9719e-03 eta: 7:30:29 time: 0.4549 data_time: 0.0220 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6768 loss_db: 0.2480 loss: 3.7877 2022/08/26 00:14:24 - mmengine - INFO - Epoch(train) [195][35/63] lr: 5.9719e-03 eta: 7:30:29 time: 0.4734 data_time: 0.0227 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6284 loss_db: 0.2426 loss: 3.7327 2022/08/26 00:14:26 - mmengine - INFO - Epoch(train) [195][40/63] lr: 5.9719e-03 eta: 7:30:24 time: 0.3972 data_time: 0.0279 memory: 6760 loss_prob: 2.8625 loss_thr: 0.6271 loss_db: 0.2227 loss: 3.7123 2022/08/26 00:14:28 - mmengine - INFO - Epoch(train) [195][45/63] lr: 5.9719e-03 eta: 7:30:24 time: 0.3788 data_time: 0.0246 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6273 loss_db: 0.2367 loss: 3.7264 2022/08/26 00:14:30 - mmengine - INFO - Epoch(train) [195][50/63] lr: 5.9719e-03 eta: 7:30:17 time: 0.3862 data_time: 0.0193 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6348 loss_db: 0.2541 loss: 3.7497 2022/08/26 00:14:32 - mmengine - INFO - Epoch(train) [195][55/63] lr: 5.9719e-03 eta: 7:30:17 time: 0.3862 data_time: 0.0208 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6647 loss_db: 0.2416 loss: 3.7671 2022/08/26 00:14:35 - mmengine - INFO - Epoch(train) [195][60/63] lr: 5.9719e-03 eta: 7:30:18 time: 0.5200 data_time: 0.0272 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6369 loss_db: 0.2239 loss: 3.7212 2022/08/26 00:14:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:14:40 - mmengine - INFO - Epoch(train) [196][5/63] lr: 5.9665e-03 eta: 7:30:18 time: 0.5794 data_time: 0.1869 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6791 loss_db: 0.2416 loss: 3.7798 2022/08/26 00:14:42 - mmengine - INFO - Epoch(train) [196][10/63] lr: 5.9665e-03 eta: 7:30:11 time: 0.5350 data_time: 0.1754 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6622 loss_db: 0.2364 loss: 3.7584 2022/08/26 00:14:44 - mmengine - INFO - Epoch(train) [196][15/63] lr: 5.9665e-03 eta: 7:30:11 time: 0.3892 data_time: 0.0198 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6392 loss_db: 0.2263 loss: 3.7259 2022/08/26 00:14:46 - mmengine - INFO - Epoch(train) [196][20/63] lr: 5.9665e-03 eta: 7:30:05 time: 0.3841 data_time: 0.0146 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6420 loss_db: 0.2272 loss: 3.7303 2022/08/26 00:14:47 - mmengine - INFO - Epoch(train) [196][25/63] lr: 5.9665e-03 eta: 7:30:05 time: 0.3713 data_time: 0.0248 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6535 loss_db: 0.2462 loss: 3.7623 2022/08/26 00:14:49 - mmengine - INFO - Epoch(train) [196][30/63] lr: 5.9665e-03 eta: 7:29:58 time: 0.3724 data_time: 0.0231 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6336 loss_db: 0.2357 loss: 3.7303 2022/08/26 00:14:51 - mmengine - INFO - Epoch(train) [196][35/63] lr: 5.9665e-03 eta: 7:29:58 time: 0.3791 data_time: 0.0210 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6176 loss_db: 0.2204 loss: 3.6966 2022/08/26 00:14:54 - mmengine - INFO - Epoch(train) [196][40/63] lr: 5.9665e-03 eta: 7:29:55 time: 0.4620 data_time: 0.0213 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6399 loss_db: 0.2300 loss: 3.7287 2022/08/26 00:14:57 - mmengine - INFO - Epoch(train) [196][45/63] lr: 5.9665e-03 eta: 7:29:55 time: 0.5468 data_time: 0.0367 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6231 loss_db: 0.2175 loss: 3.7017 2022/08/26 00:14:59 - mmengine - INFO - Epoch(train) [196][50/63] lr: 5.9665e-03 eta: 7:29:53 time: 0.4602 data_time: 0.0449 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6025 loss_db: 0.2265 loss: 3.6894 2022/08/26 00:15:00 - mmengine - INFO - Epoch(train) [196][55/63] lr: 5.9665e-03 eta: 7:29:53 time: 0.3582 data_time: 0.0227 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6166 loss_db: 0.2455 loss: 3.7204 2022/08/26 00:15:02 - mmengine - INFO - Epoch(train) [196][60/63] lr: 5.9665e-03 eta: 7:29:45 time: 0.3582 data_time: 0.0167 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6128 loss_db: 0.2392 loss: 3.7109 2022/08/26 00:15:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:15:07 - mmengine - INFO - Epoch(train) [197][5/63] lr: 5.9612e-03 eta: 7:29:45 time: 0.5333 data_time: 0.1612 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6240 loss_db: 0.2241 loss: 3.7076 2022/08/26 00:15:09 - mmengine - INFO - Epoch(train) [197][10/63] lr: 5.9612e-03 eta: 7:29:39 time: 0.5500 data_time: 0.1690 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6121 loss_db: 0.2071 loss: 3.6788 2022/08/26 00:15:11 - mmengine - INFO - Epoch(train) [197][15/63] lr: 5.9612e-03 eta: 7:29:39 time: 0.3811 data_time: 0.0278 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6079 loss_db: 0.2178 loss: 3.6844 2022/08/26 00:15:12 - mmengine - INFO - Epoch(train) [197][20/63] lr: 5.9612e-03 eta: 7:29:32 time: 0.3616 data_time: 0.0125 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6173 loss_db: 0.2139 loss: 3.6894 2022/08/26 00:15:17 - mmengine - INFO - Epoch(train) [197][25/63] lr: 5.9612e-03 eta: 7:29:32 time: 0.6141 data_time: 0.0563 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6072 loss_db: 0.2199 loss: 3.6849 2022/08/26 00:15:19 - mmengine - INFO - Epoch(train) [197][30/63] lr: 5.9612e-03 eta: 7:29:37 time: 0.6165 data_time: 0.0571 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6294 loss_db: 0.2335 loss: 3.7212 2022/08/26 00:15:21 - mmengine - INFO - Epoch(train) [197][35/63] lr: 5.9612e-03 eta: 7:29:37 time: 0.3918 data_time: 0.0232 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6463 loss_db: 0.2163 loss: 3.7229 2022/08/26 00:15:23 - mmengine - INFO - Epoch(train) [197][40/63] lr: 5.9612e-03 eta: 7:29:31 time: 0.3981 data_time: 0.0236 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6507 loss_db: 0.2318 loss: 3.7437 2022/08/26 00:15:25 - mmengine - INFO - Epoch(train) [197][45/63] lr: 5.9612e-03 eta: 7:29:31 time: 0.4163 data_time: 0.0328 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6622 loss_db: 0.2422 loss: 3.7669 2022/08/26 00:15:27 - mmengine - INFO - Epoch(train) [197][50/63] lr: 5.9612e-03 eta: 7:29:27 time: 0.4276 data_time: 0.0388 memory: 6760 loss_prob: 2.8637 loss_thr: 0.6550 loss_db: 0.2337 loss: 3.7524 2022/08/26 00:15:29 - mmengine - INFO - Epoch(train) [197][55/63] lr: 5.9612e-03 eta: 7:29:27 time: 0.3965 data_time: 0.0216 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6507 loss_db: 0.2453 loss: 3.7577 2022/08/26 00:15:31 - mmengine - INFO - Epoch(train) [197][60/63] lr: 5.9612e-03 eta: 7:29:21 time: 0.3867 data_time: 0.0219 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6454 loss_db: 0.2313 loss: 3.7373 2022/08/26 00:15:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:15:36 - mmengine - INFO - Epoch(train) [198][5/63] lr: 5.9558e-03 eta: 7:29:21 time: 0.5994 data_time: 0.2070 memory: 6760 loss_prob: 2.8636 loss_thr: 0.6401 loss_db: 0.2406 loss: 3.7444 2022/08/26 00:15:38 - mmengine - INFO - Epoch(train) [198][10/63] lr: 5.9558e-03 eta: 7:29:18 time: 0.6083 data_time: 0.2172 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6515 loss_db: 0.2597 loss: 3.7706 2022/08/26 00:15:40 - mmengine - INFO - Epoch(train) [198][15/63] lr: 5.9558e-03 eta: 7:29:18 time: 0.3783 data_time: 0.0219 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6454 loss_db: 0.2366 loss: 3.7412 2022/08/26 00:15:42 - mmengine - INFO - Epoch(train) [198][20/63] lr: 5.9558e-03 eta: 7:29:12 time: 0.3934 data_time: 0.0196 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6476 loss_db: 0.2273 loss: 3.7339 2022/08/26 00:15:44 - mmengine - INFO - Epoch(train) [198][25/63] lr: 5.9558e-03 eta: 7:29:12 time: 0.4597 data_time: 0.0287 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6869 loss_db: 0.2390 loss: 3.7850 2022/08/26 00:15:46 - mmengine - INFO - Epoch(train) [198][30/63] lr: 5.9558e-03 eta: 7:29:09 time: 0.4431 data_time: 0.0254 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6659 loss_db: 0.2422 loss: 3.7674 2022/08/26 00:15:48 - mmengine - INFO - Epoch(train) [198][35/63] lr: 5.9558e-03 eta: 7:29:09 time: 0.3882 data_time: 0.0263 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6578 loss_db: 0.2405 loss: 3.7584 2022/08/26 00:15:50 - mmengine - INFO - Epoch(train) [198][40/63] lr: 5.9558e-03 eta: 7:29:02 time: 0.3854 data_time: 0.0190 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6551 loss_db: 0.2275 loss: 3.7449 2022/08/26 00:15:52 - mmengine - INFO - Epoch(train) [198][45/63] lr: 5.9558e-03 eta: 7:29:02 time: 0.3720 data_time: 0.0203 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6425 loss_db: 0.2243 loss: 3.7292 2022/08/26 00:15:55 - mmengine - INFO - Epoch(train) [198][50/63] lr: 5.9558e-03 eta: 7:29:00 time: 0.4768 data_time: 0.0306 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6287 loss_db: 0.2253 loss: 3.7135 2022/08/26 00:15:57 - mmengine - INFO - Epoch(train) [198][55/63] lr: 5.9558e-03 eta: 7:29:00 time: 0.4834 data_time: 0.0201 memory: 6760 loss_prob: 2.8581 loss_thr: 0.5976 loss_db: 0.2289 loss: 3.6846 2022/08/26 00:15:59 - mmengine - INFO - Epoch(train) [198][60/63] lr: 5.9558e-03 eta: 7:28:54 time: 0.3924 data_time: 0.0158 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6255 loss_db: 0.2282 loss: 3.7122 2022/08/26 00:16:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:16:03 - mmengine - INFO - Epoch(train) [199][5/63] lr: 5.9505e-03 eta: 7:28:54 time: 0.4988 data_time: 0.1453 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6448 loss_db: 0.2397 loss: 3.7451 2022/08/26 00:16:05 - mmengine - INFO - Epoch(train) [199][10/63] lr: 5.9505e-03 eta: 7:28:47 time: 0.5251 data_time: 0.1538 memory: 6760 loss_prob: 2.8625 loss_thr: 0.6758 loss_db: 0.2893 loss: 3.8275 2022/08/26 00:16:07 - mmengine - INFO - Epoch(train) [199][15/63] lr: 5.9505e-03 eta: 7:28:47 time: 0.4004 data_time: 0.0245 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6643 loss_db: 0.2835 loss: 3.8103 2022/08/26 00:16:09 - mmengine - INFO - Epoch(train) [199][20/63] lr: 5.9505e-03 eta: 7:28:41 time: 0.3829 data_time: 0.0246 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6524 loss_db: 0.2696 loss: 3.7818 2022/08/26 00:16:11 - mmengine - INFO - Epoch(train) [199][25/63] lr: 5.9505e-03 eta: 7:28:41 time: 0.3729 data_time: 0.0189 memory: 6760 loss_prob: 2.8576 loss_thr: 0.6524 loss_db: 0.2757 loss: 3.7856 2022/08/26 00:16:13 - mmengine - INFO - Epoch(train) [199][30/63] lr: 5.9505e-03 eta: 7:28:34 time: 0.3734 data_time: 0.0162 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6216 loss_db: 0.2322 loss: 3.7107 2022/08/26 00:16:16 - mmengine - INFO - Epoch(train) [199][35/63] lr: 5.9505e-03 eta: 7:28:34 time: 0.5228 data_time: 0.0371 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6218 loss_db: 0.2327 loss: 3.7125 2022/08/26 00:16:18 - mmengine - INFO - Epoch(train) [199][40/63] lr: 5.9505e-03 eta: 7:28:34 time: 0.5176 data_time: 0.0363 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6203 loss_db: 0.2315 loss: 3.7101 2022/08/26 00:16:20 - mmengine - INFO - Epoch(train) [199][45/63] lr: 5.9505e-03 eta: 7:28:34 time: 0.3803 data_time: 0.0239 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6454 loss_db: 0.2329 loss: 3.7357 2022/08/26 00:16:22 - mmengine - INFO - Epoch(train) [199][50/63] lr: 5.9505e-03 eta: 7:28:28 time: 0.3855 data_time: 0.0194 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6181 loss_db: 0.2213 loss: 3.6965 2022/08/26 00:16:24 - mmengine - INFO - Epoch(train) [199][55/63] lr: 5.9505e-03 eta: 7:28:28 time: 0.4089 data_time: 0.0159 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6247 loss_db: 0.2083 loss: 3.6915 2022/08/26 00:16:26 - mmengine - INFO - Epoch(train) [199][60/63] lr: 5.9505e-03 eta: 7:28:23 time: 0.4149 data_time: 0.0284 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6655 loss_db: 0.2217 loss: 3.7472 2022/08/26 00:16:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:16:30 - mmengine - INFO - Epoch(train) [200][5/63] lr: 5.9451e-03 eta: 7:28:23 time: 0.5391 data_time: 0.1789 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6453 loss_db: 0.2278 loss: 3.7320 2022/08/26 00:16:32 - mmengine - INFO - Epoch(train) [200][10/63] lr: 5.9451e-03 eta: 7:28:18 time: 0.5558 data_time: 0.1857 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6540 loss_db: 0.2334 loss: 3.7452 2022/08/26 00:16:35 - mmengine - INFO - Epoch(train) [200][15/63] lr: 5.9451e-03 eta: 7:28:18 time: 0.4443 data_time: 0.0267 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6719 loss_db: 0.2297 loss: 3.7608 2022/08/26 00:16:37 - mmengine - INFO - Epoch(train) [200][20/63] lr: 5.9451e-03 eta: 7:28:15 time: 0.4497 data_time: 0.0253 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6686 loss_db: 0.2255 loss: 3.7553 2022/08/26 00:16:39 - mmengine - INFO - Epoch(train) [200][25/63] lr: 5.9451e-03 eta: 7:28:15 time: 0.4042 data_time: 0.0214 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6364 loss_db: 0.2284 loss: 3.7257 2022/08/26 00:16:41 - mmengine - INFO - Epoch(train) [200][30/63] lr: 5.9451e-03 eta: 7:28:10 time: 0.4138 data_time: 0.0191 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6338 loss_db: 0.2308 loss: 3.7248 2022/08/26 00:16:43 - mmengine - INFO - Epoch(train) [200][35/63] lr: 5.9451e-03 eta: 7:28:10 time: 0.3982 data_time: 0.0294 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6327 loss_db: 0.2439 loss: 3.7365 2022/08/26 00:16:45 - mmengine - INFO - Epoch(train) [200][40/63] lr: 5.9451e-03 eta: 7:28:05 time: 0.4187 data_time: 0.0460 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6059 loss_db: 0.2427 loss: 3.7079 2022/08/26 00:16:47 - mmengine - INFO - Epoch(train) [200][45/63] lr: 5.9451e-03 eta: 7:28:05 time: 0.4070 data_time: 0.0418 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6171 loss_db: 0.2299 loss: 3.7064 2022/08/26 00:16:49 - mmengine - INFO - Epoch(train) [200][50/63] lr: 5.9451e-03 eta: 7:27:57 time: 0.3554 data_time: 0.0206 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6801 loss_db: 0.2429 loss: 3.7829 2022/08/26 00:16:51 - mmengine - INFO - Epoch(train) [200][55/63] lr: 5.9451e-03 eta: 7:27:57 time: 0.3684 data_time: 0.0169 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6725 loss_db: 0.2469 loss: 3.7786 2022/08/26 00:16:53 - mmengine - INFO - Epoch(train) [200][60/63] lr: 5.9451e-03 eta: 7:27:51 time: 0.3866 data_time: 0.0218 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6276 loss_db: 0.2244 loss: 3.7111 2022/08/26 00:16:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:16:55 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/26 00:17:00 - mmengine - INFO - Epoch(val) [200][5/500] eta: 7:27:51 time: 0.2565 data_time: 0.0183 memory: 6760 2022/08/26 00:17:01 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:02:29 time: 0.3059 data_time: 0.0191 memory: 425 2022/08/26 00:17:02 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:02:29 time: 0.2584 data_time: 0.0026 memory: 425 2022/08/26 00:17:03 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:02:01 time: 0.2541 data_time: 0.0020 memory: 425 2022/08/26 00:17:05 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:02:01 time: 0.2595 data_time: 0.0021 memory: 425 2022/08/26 00:17:06 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:02:07 time: 0.2705 data_time: 0.0020 memory: 425 2022/08/26 00:17:07 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:02:07 time: 0.2657 data_time: 0.0020 memory: 425 2022/08/26 00:17:09 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:02:14 time: 0.2925 data_time: 0.0021 memory: 425 2022/08/26 00:17:10 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:02:14 time: 0.2955 data_time: 0.0021 memory: 425 2022/08/26 00:17:12 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:01:51 time: 0.2475 data_time: 0.0020 memory: 425 2022/08/26 00:17:14 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:01:51 time: 0.4044 data_time: 0.0019 memory: 425 2022/08/26 00:17:16 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:03:33 time: 0.4859 data_time: 0.0252 memory: 425 2022/08/26 00:17:18 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:03:33 time: 0.3326 data_time: 0.0252 memory: 425 2022/08/26 00:17:19 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:01:47 time: 0.2494 data_time: 0.0020 memory: 425 2022/08/26 00:17:20 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:01:47 time: 0.2138 data_time: 0.0021 memory: 425 2022/08/26 00:17:21 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:01:29 time: 0.2124 data_time: 0.0020 memory: 425 2022/08/26 00:17:22 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:01:29 time: 0.2288 data_time: 0.0018 memory: 425 2022/08/26 00:17:24 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:01:54 time: 0.2786 data_time: 0.0054 memory: 425 2022/08/26 00:17:25 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:01:54 time: 0.2942 data_time: 0.0067 memory: 425 2022/08/26 00:17:26 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:01:38 time: 0.2453 data_time: 0.0032 memory: 425 2022/08/26 00:17:27 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:01:38 time: 0.2308 data_time: 0.0019 memory: 425 2022/08/26 00:17:28 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:01:21 time: 0.2086 data_time: 0.0018 memory: 425 2022/08/26 00:17:29 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:01:21 time: 0.2092 data_time: 0.0019 memory: 425 2022/08/26 00:17:31 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:01:26 time: 0.2273 data_time: 0.0019 memory: 425 2022/08/26 00:17:32 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:01:26 time: 0.2667 data_time: 0.0019 memory: 425 2022/08/26 00:17:34 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:01:39 time: 0.2694 data_time: 0.0018 memory: 425 2022/08/26 00:17:36 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:01:39 time: 0.3642 data_time: 0.0338 memory: 425 2022/08/26 00:17:37 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:02:05 time: 0.3492 data_time: 0.0339 memory: 425 2022/08/26 00:17:38 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:02:05 time: 0.2498 data_time: 0.0019 memory: 425 2022/08/26 00:17:40 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:01:37 time: 0.2790 data_time: 0.0021 memory: 425 2022/08/26 00:17:41 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:01:37 time: 0.2921 data_time: 0.0020 memory: 425 2022/08/26 00:17:43 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:01:38 time: 0.2899 data_time: 0.0020 memory: 425 2022/08/26 00:17:44 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:01:38 time: 0.2606 data_time: 0.0032 memory: 425 2022/08/26 00:17:45 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:01:29 time: 0.2715 data_time: 0.0041 memory: 425 2022/08/26 00:17:46 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:01:29 time: 0.2610 data_time: 0.0028 memory: 425 2022/08/26 00:17:48 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:01:17 time: 0.2423 data_time: 0.0019 memory: 425 2022/08/26 00:17:49 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:01:17 time: 0.2765 data_time: 0.0019 memory: 425 2022/08/26 00:17:51 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:01:30 time: 0.2925 data_time: 0.0019 memory: 425 2022/08/26 00:17:52 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:01:30 time: 0.2694 data_time: 0.0019 memory: 425 2022/08/26 00:17:54 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:01:28 time: 0.2944 data_time: 0.0019 memory: 425 2022/08/26 00:17:56 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:01:28 time: 0.4252 data_time: 0.0408 memory: 425 2022/08/26 00:17:57 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:01:44 time: 0.3594 data_time: 0.0408 memory: 425 2022/08/26 00:17:58 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:01:44 time: 0.2021 data_time: 0.0019 memory: 425 2022/08/26 00:17:59 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:01:04 time: 0.2303 data_time: 0.0018 memory: 425 2022/08/26 00:18:01 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:01:04 time: 0.2475 data_time: 0.0018 memory: 425 2022/08/26 00:18:02 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:01:02 time: 0.2314 data_time: 0.0021 memory: 425 2022/08/26 00:18:03 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:01:02 time: 0.2661 data_time: 0.0021 memory: 425 2022/08/26 00:18:05 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:01:16 time: 0.2944 data_time: 0.0053 memory: 425 2022/08/26 00:18:06 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:01:16 time: 0.2477 data_time: 0.0053 memory: 425 2022/08/26 00:18:07 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:01:02 time: 0.2492 data_time: 0.0018 memory: 425 2022/08/26 00:18:08 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:01:02 time: 0.2524 data_time: 0.0018 memory: 425 2022/08/26 00:18:09 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:53 time: 0.2233 data_time: 0.0019 memory: 425 2022/08/26 00:18:10 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:53 time: 0.2041 data_time: 0.0019 memory: 425 2022/08/26 00:18:12 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:56 time: 0.2453 data_time: 0.0018 memory: 425 2022/08/26 00:18:13 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:56 time: 0.2516 data_time: 0.0018 memory: 425 2022/08/26 00:18:16 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:01:20 time: 0.3653 data_time: 0.0139 memory: 425 2022/08/26 00:18:17 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:01:20 time: 0.3914 data_time: 0.0239 memory: 425 2022/08/26 00:18:18 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:51 time: 0.2460 data_time: 0.0121 memory: 425 2022/08/26 00:18:19 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:51 time: 0.2611 data_time: 0.0021 memory: 425 2022/08/26 00:18:21 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:53 time: 0.2696 data_time: 0.0018 memory: 425 2022/08/26 00:18:22 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:53 time: 0.2399 data_time: 0.0018 memory: 425 2022/08/26 00:18:23 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:47 time: 0.2523 data_time: 0.0018 memory: 425 2022/08/26 00:18:25 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:47 time: 0.2947 data_time: 0.0018 memory: 425 2022/08/26 00:18:26 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:51 time: 0.2844 data_time: 0.0018 memory: 425 2022/08/26 00:18:28 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:51 time: 0.3253 data_time: 0.0019 memory: 425 2022/08/26 00:18:29 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:52 time: 0.3069 data_time: 0.0019 memory: 425 2022/08/26 00:18:30 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:52 time: 0.2443 data_time: 0.0025 memory: 425 2022/08/26 00:18:32 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:42 time: 0.2681 data_time: 0.0024 memory: 425 2022/08/26 00:18:34 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:42 time: 0.3434 data_time: 0.0018 memory: 425 2022/08/26 00:18:37 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:01:12 time: 0.4866 data_time: 0.0245 memory: 425 2022/08/26 00:18:38 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:01:12 time: 0.4033 data_time: 0.0267 memory: 425 2022/08/26 00:18:39 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:31 time: 0.2234 data_time: 0.0041 memory: 425 2022/08/26 00:18:40 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:31 time: 0.2363 data_time: 0.0018 memory: 425 2022/08/26 00:18:41 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:32 time: 0.2470 data_time: 0.0018 memory: 425 2022/08/26 00:18:43 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:32 time: 0.2301 data_time: 0.0018 memory: 425 2022/08/26 00:18:44 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:28 time: 0.2384 data_time: 0.0024 memory: 425 2022/08/26 00:18:45 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:28 time: 0.2326 data_time: 0.0024 memory: 425 2022/08/26 00:18:46 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:25 time: 0.2320 data_time: 0.0019 memory: 425 2022/08/26 00:18:47 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:25 time: 0.2325 data_time: 0.0018 memory: 425 2022/08/26 00:18:48 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:23 time: 0.2328 data_time: 0.0018 memory: 425 2022/08/26 00:18:50 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:23 time: 0.2627 data_time: 0.0020 memory: 425 2022/08/26 00:18:51 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:24 time: 0.2718 data_time: 0.0021 memory: 425 2022/08/26 00:18:52 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:24 time: 0.2640 data_time: 0.0048 memory: 425 2022/08/26 00:18:55 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:26 time: 0.3367 data_time: 0.0279 memory: 425 2022/08/26 00:18:56 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:26 time: 0.3478 data_time: 0.0271 memory: 425 2022/08/26 00:18:57 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:18 time: 0.2624 data_time: 0.0040 memory: 425 2022/08/26 00:18:58 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:18 time: 0.2174 data_time: 0.0018 memory: 425 2022/08/26 00:18:59 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:13 time: 0.2311 data_time: 0.0018 memory: 425 2022/08/26 00:19:01 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:13 time: 0.2998 data_time: 0.0019 memory: 425 2022/08/26 00:19:02 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:14 time: 0.2927 data_time: 0.0019 memory: 425 2022/08/26 00:19:04 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:14 time: 0.3314 data_time: 0.0027 memory: 425 2022/08/26 00:19:06 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:12 time: 0.3142 data_time: 0.0030 memory: 425 2022/08/26 00:19:07 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:12 time: 0.2148 data_time: 0.0024 memory: 425 2022/08/26 00:19:08 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:07 time: 0.2453 data_time: 0.0021 memory: 425 2022/08/26 00:19:09 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:07 time: 0.2547 data_time: 0.0019 memory: 425 2022/08/26 00:19:10 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:04 time: 0.2359 data_time: 0.0019 memory: 425 2022/08/26 00:19:12 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:04 time: 0.2456 data_time: 0.0019 memory: 425 2022/08/26 00:19:13 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:02 time: 0.2383 data_time: 0.0019 memory: 425 2022/08/26 00:19:15 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:02 time: 0.3324 data_time: 0.0239 memory: 425 2022/08/26 00:19:16 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.3319 data_time: 0.0260 memory: 425 2022/08/26 00:19:16 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:19:16 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0034, precision: 0.0001, hmean: 0.0002 2022/08/26 00:19:16 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:19:16 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:19:16 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:19:16 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:19:16 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:19:16 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:19:16 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.0001 icdar/recall: 0.0034 icdar/hmean: 0.0002 2022/08/26 00:19:21 - mmengine - INFO - Epoch(train) [201][5/63] lr: 5.9398e-03 eta: 0:00:00 time: 0.7824 data_time: 0.1893 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6488 loss_db: 0.2293 loss: 3.7380 2022/08/26 00:19:22 - mmengine - INFO - Epoch(train) [201][10/63] lr: 5.9398e-03 eta: 7:27:49 time: 0.6254 data_time: 0.1870 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6517 loss_db: 0.2488 loss: 3.7613 2022/08/26 00:19:24 - mmengine - INFO - Epoch(train) [201][15/63] lr: 5.9398e-03 eta: 7:27:49 time: 0.3605 data_time: 0.0186 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6692 loss_db: 0.2629 loss: 3.7923 2022/08/26 00:19:26 - mmengine - INFO - Epoch(train) [201][20/63] lr: 5.9398e-03 eta: 7:27:41 time: 0.3590 data_time: 0.0150 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6406 loss_db: 0.2519 loss: 3.7519 2022/08/26 00:19:28 - mmengine - INFO - Epoch(train) [201][25/63] lr: 5.9398e-03 eta: 7:27:41 time: 0.3756 data_time: 0.0205 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6324 loss_db: 0.2380 loss: 3.7302 2022/08/26 00:19:30 - mmengine - INFO - Epoch(train) [201][30/63] lr: 5.9398e-03 eta: 7:27:35 time: 0.3918 data_time: 0.0253 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6443 loss_db: 0.2272 loss: 3.7304 2022/08/26 00:19:32 - mmengine - INFO - Epoch(train) [201][35/63] lr: 5.9398e-03 eta: 7:27:35 time: 0.3971 data_time: 0.0292 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6191 loss_db: 0.2274 loss: 3.7037 2022/08/26 00:19:35 - mmengine - INFO - Epoch(train) [201][40/63] lr: 5.9398e-03 eta: 7:27:36 time: 0.5291 data_time: 0.0247 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6211 loss_db: 0.2360 loss: 3.7188 2022/08/26 00:19:37 - mmengine - INFO - Epoch(train) [201][45/63] lr: 5.9398e-03 eta: 7:27:36 time: 0.5281 data_time: 0.0244 memory: 6760 loss_prob: 2.8633 loss_thr: 0.6278 loss_db: 0.2367 loss: 3.7278 2022/08/26 00:19:39 - mmengine - INFO - Epoch(train) [201][50/63] lr: 5.9398e-03 eta: 7:27:30 time: 0.3947 data_time: 0.0251 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6572 loss_db: 0.2522 loss: 3.7684 2022/08/26 00:19:41 - mmengine - INFO - Epoch(train) [201][55/63] lr: 5.9398e-03 eta: 7:27:30 time: 0.3927 data_time: 0.0230 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6630 loss_db: 0.2509 loss: 3.7720 2022/08/26 00:19:43 - mmengine - INFO - Epoch(train) [201][60/63] lr: 5.9398e-03 eta: 7:27:24 time: 0.3879 data_time: 0.0217 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6489 loss_db: 0.2405 loss: 3.7495 2022/08/26 00:19:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:19:48 - mmengine - INFO - Epoch(train) [202][5/63] lr: 5.9344e-03 eta: 7:27:24 time: 0.5319 data_time: 0.1456 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6878 loss_db: 0.2431 loss: 3.7921 2022/08/26 00:19:50 - mmengine - INFO - Epoch(train) [202][10/63] lr: 5.9344e-03 eta: 7:27:18 time: 0.5536 data_time: 0.1506 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6408 loss_db: 0.2456 loss: 3.7452 2022/08/26 00:19:52 - mmengine - INFO - Epoch(train) [202][15/63] lr: 5.9344e-03 eta: 7:27:18 time: 0.3920 data_time: 0.0238 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6402 loss_db: 0.2388 loss: 3.7378 2022/08/26 00:19:54 - mmengine - INFO - Epoch(train) [202][20/63] lr: 5.9344e-03 eta: 7:27:13 time: 0.4113 data_time: 0.0224 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6404 loss_db: 0.2287 loss: 3.7288 2022/08/26 00:19:56 - mmengine - INFO - Epoch(train) [202][25/63] lr: 5.9344e-03 eta: 7:27:13 time: 0.4126 data_time: 0.0184 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6329 loss_db: 0.2291 loss: 3.7218 2022/08/26 00:19:58 - mmengine - INFO - Epoch(train) [202][30/63] lr: 5.9344e-03 eta: 7:27:07 time: 0.3750 data_time: 0.0198 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6607 loss_db: 0.2339 loss: 3.7558 2022/08/26 00:20:00 - mmengine - INFO - Epoch(train) [202][35/63] lr: 5.9344e-03 eta: 7:27:07 time: 0.4374 data_time: 0.0238 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6423 loss_db: 0.2251 loss: 3.7296 2022/08/26 00:20:02 - mmengine - INFO - Epoch(train) [202][40/63] lr: 5.9344e-03 eta: 7:27:03 time: 0.4442 data_time: 0.0245 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6184 loss_db: 0.2187 loss: 3.6998 2022/08/26 00:20:04 - mmengine - INFO - Epoch(train) [202][45/63] lr: 5.9344e-03 eta: 7:27:03 time: 0.4279 data_time: 0.0241 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6357 loss_db: 0.2328 loss: 3.7312 2022/08/26 00:20:06 - mmengine - INFO - Epoch(train) [202][50/63] lr: 5.9344e-03 eta: 7:26:59 time: 0.4257 data_time: 0.0234 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6171 loss_db: 0.2232 loss: 3.7013 2022/08/26 00:20:08 - mmengine - INFO - Epoch(train) [202][55/63] lr: 5.9344e-03 eta: 7:26:59 time: 0.3775 data_time: 0.0209 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6087 loss_db: 0.2068 loss: 3.6757 2022/08/26 00:20:10 - mmengine - INFO - Epoch(train) [202][60/63] lr: 5.9344e-03 eta: 7:26:52 time: 0.3738 data_time: 0.0211 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6100 loss_db: 0.2237 loss: 3.6934 2022/08/26 00:20:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:20:15 - mmengine - INFO - Epoch(train) [203][5/63] lr: 5.9291e-03 eta: 7:26:52 time: 0.5473 data_time: 0.1561 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6457 loss_db: 0.2447 loss: 3.7495 2022/08/26 00:20:17 - mmengine - INFO - Epoch(train) [203][10/63] lr: 5.9291e-03 eta: 7:26:47 time: 0.5681 data_time: 0.1630 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6175 loss_db: 0.2133 loss: 3.6902 2022/08/26 00:20:19 - mmengine - INFO - Epoch(train) [203][15/63] lr: 5.9291e-03 eta: 7:26:47 time: 0.3825 data_time: 0.0232 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6084 loss_db: 0.2276 loss: 3.6956 2022/08/26 00:20:20 - mmengine - INFO - Epoch(train) [203][20/63] lr: 5.9291e-03 eta: 7:26:40 time: 0.3733 data_time: 0.0190 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6238 loss_db: 0.2271 loss: 3.7118 2022/08/26 00:20:23 - mmengine - INFO - Epoch(train) [203][25/63] lr: 5.9291e-03 eta: 7:26:40 time: 0.4291 data_time: 0.0180 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6104 loss_db: 0.2234 loss: 3.6949 2022/08/26 00:20:25 - mmengine - INFO - Epoch(train) [203][30/63] lr: 5.9291e-03 eta: 7:26:37 time: 0.4545 data_time: 0.0201 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5986 loss_db: 0.2339 loss: 3.6926 2022/08/26 00:20:27 - mmengine - INFO - Epoch(train) [203][35/63] lr: 5.9291e-03 eta: 7:26:37 time: 0.4096 data_time: 0.0288 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6043 loss_db: 0.2261 loss: 3.6909 2022/08/26 00:20:29 - mmengine - INFO - Epoch(train) [203][40/63] lr: 5.9291e-03 eta: 7:26:31 time: 0.3840 data_time: 0.0237 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6309 loss_db: 0.2432 loss: 3.7339 2022/08/26 00:20:31 - mmengine - INFO - Epoch(train) [203][45/63] lr: 5.9291e-03 eta: 7:26:31 time: 0.3850 data_time: 0.0191 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6398 loss_db: 0.2406 loss: 3.7401 2022/08/26 00:20:33 - mmengine - INFO - Epoch(train) [203][50/63] lr: 5.9291e-03 eta: 7:26:25 time: 0.3850 data_time: 0.0185 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6160 loss_db: 0.2157 loss: 3.6911 2022/08/26 00:20:37 - mmengine - INFO - Epoch(train) [203][55/63] lr: 5.9291e-03 eta: 7:26:25 time: 0.5758 data_time: 0.0387 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6133 loss_db: 0.2195 loss: 3.6921 2022/08/26 00:20:39 - mmengine - INFO - Epoch(train) [203][60/63] lr: 5.9291e-03 eta: 7:26:28 time: 0.5844 data_time: 0.0491 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6251 loss_db: 0.2308 loss: 3.7149 2022/08/26 00:20:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:20:43 - mmengine - INFO - Epoch(train) [204][5/63] lr: 5.9237e-03 eta: 7:26:28 time: 0.5257 data_time: 0.1799 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6279 loss_db: 0.2497 loss: 3.7366 2022/08/26 00:20:45 - mmengine - INFO - Epoch(train) [204][10/63] lr: 5.9237e-03 eta: 7:26:23 time: 0.5540 data_time: 0.1929 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6260 loss_db: 0.2334 loss: 3.7168 2022/08/26 00:20:47 - mmengine - INFO - Epoch(train) [204][15/63] lr: 5.9237e-03 eta: 7:26:23 time: 0.3904 data_time: 0.0246 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6281 loss_db: 0.2217 loss: 3.7093 2022/08/26 00:20:49 - mmengine - INFO - Epoch(train) [204][20/63] lr: 5.9237e-03 eta: 7:26:17 time: 0.3917 data_time: 0.0205 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6308 loss_db: 0.2234 loss: 3.7150 2022/08/26 00:20:51 - mmengine - INFO - Epoch(train) [204][25/63] lr: 5.9237e-03 eta: 7:26:17 time: 0.3963 data_time: 0.0223 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6168 loss_db: 0.2182 loss: 3.6949 2022/08/26 00:20:53 - mmengine - INFO - Epoch(train) [204][30/63] lr: 5.9237e-03 eta: 7:26:10 time: 0.3804 data_time: 0.0173 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6357 loss_db: 0.2203 loss: 3.7145 2022/08/26 00:20:57 - mmengine - INFO - Epoch(train) [204][35/63] lr: 5.9237e-03 eta: 7:26:10 time: 0.5756 data_time: 0.0267 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6468 loss_db: 0.2327 loss: 3.7374 2022/08/26 00:20:59 - mmengine - INFO - Epoch(train) [204][40/63] lr: 5.9237e-03 eta: 7:26:14 time: 0.5839 data_time: 0.0214 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6554 loss_db: 0.2393 loss: 3.7532 2022/08/26 00:21:01 - mmengine - INFO - Epoch(train) [204][45/63] lr: 5.9237e-03 eta: 7:26:14 time: 0.3901 data_time: 0.0216 memory: 6760 loss_prob: 2.8631 loss_thr: 0.6657 loss_db: 0.2575 loss: 3.7862 2022/08/26 00:21:03 - mmengine - INFO - Epoch(train) [204][50/63] lr: 5.9237e-03 eta: 7:26:08 time: 0.3975 data_time: 0.0275 memory: 6760 loss_prob: 2.8652 loss_thr: 0.6402 loss_db: 0.2455 loss: 3.7509 2022/08/26 00:21:05 - mmengine - INFO - Epoch(train) [204][55/63] lr: 5.9237e-03 eta: 7:26:08 time: 0.4207 data_time: 0.0209 memory: 6760 loss_prob: 2.8633 loss_thr: 0.6247 loss_db: 0.2232 loss: 3.7113 2022/08/26 00:21:07 - mmengine - INFO - Epoch(train) [204][60/63] lr: 5.9237e-03 eta: 7:26:03 time: 0.4078 data_time: 0.0218 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6188 loss_db: 0.2314 loss: 3.7110 2022/08/26 00:21:08 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:21:11 - mmengine - INFO - Epoch(train) [205][5/63] lr: 5.9184e-03 eta: 7:26:03 time: 0.5185 data_time: 0.1576 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6274 loss_db: 0.2338 loss: 3.7195 2022/08/26 00:21:13 - mmengine - INFO - Epoch(train) [205][10/63] lr: 5.9184e-03 eta: 7:25:57 time: 0.5435 data_time: 0.1705 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6176 loss_db: 0.2275 loss: 3.7041 2022/08/26 00:21:15 - mmengine - INFO - Epoch(train) [205][15/63] lr: 5.9184e-03 eta: 7:25:57 time: 0.4377 data_time: 0.0285 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6045 loss_db: 0.2155 loss: 3.6797 2022/08/26 00:21:17 - mmengine - INFO - Epoch(train) [205][20/63] lr: 5.9184e-03 eta: 7:25:53 time: 0.4315 data_time: 0.0228 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6363 loss_db: 0.2292 loss: 3.7256 2022/08/26 00:21:19 - mmengine - INFO - Epoch(train) [205][25/63] lr: 5.9184e-03 eta: 7:25:53 time: 0.4013 data_time: 0.0189 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6339 loss_db: 0.2235 loss: 3.7169 2022/08/26 00:21:21 - mmengine - INFO - Epoch(train) [205][30/63] lr: 5.9184e-03 eta: 7:25:47 time: 0.4001 data_time: 0.0179 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6413 loss_db: 0.2380 loss: 3.7390 2022/08/26 00:21:24 - mmengine - INFO - Epoch(train) [205][35/63] lr: 5.9184e-03 eta: 7:25:47 time: 0.4133 data_time: 0.0259 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6383 loss_db: 0.2494 loss: 3.7478 2022/08/26 00:21:26 - mmengine - INFO - Epoch(train) [205][40/63] lr: 5.9184e-03 eta: 7:25:43 time: 0.4251 data_time: 0.0272 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6170 loss_db: 0.2214 loss: 3.6991 2022/08/26 00:21:28 - mmengine - INFO - Epoch(train) [205][45/63] lr: 5.9184e-03 eta: 7:25:43 time: 0.4079 data_time: 0.0217 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6471 loss_db: 0.2306 loss: 3.7388 2022/08/26 00:21:30 - mmengine - INFO - Epoch(train) [205][50/63] lr: 5.9184e-03 eta: 7:25:37 time: 0.3955 data_time: 0.0216 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6842 loss_db: 0.2581 loss: 3.8037 2022/08/26 00:21:31 - mmengine - INFO - Epoch(train) [205][55/63] lr: 5.9184e-03 eta: 7:25:37 time: 0.3761 data_time: 0.0176 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6533 loss_db: 0.2435 loss: 3.7575 2022/08/26 00:21:34 - mmengine - INFO - Epoch(train) [205][60/63] lr: 5.9184e-03 eta: 7:25:32 time: 0.4124 data_time: 0.0227 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6265 loss_db: 0.2283 loss: 3.7148 2022/08/26 00:21:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:21:40 - mmengine - INFO - Epoch(train) [206][5/63] lr: 5.9130e-03 eta: 7:25:32 time: 0.7011 data_time: 0.1929 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6686 loss_db: 0.2388 loss: 3.7674 2022/08/26 00:21:42 - mmengine - INFO - Epoch(train) [206][10/63] lr: 5.9130e-03 eta: 7:25:25 time: 0.5184 data_time: 0.1662 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6463 loss_db: 0.2340 loss: 3.7408 2022/08/26 00:21:44 - mmengine - INFO - Epoch(train) [206][15/63] lr: 5.9130e-03 eta: 7:25:25 time: 0.3832 data_time: 0.0234 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6204 loss_db: 0.2262 loss: 3.7057 2022/08/26 00:21:45 - mmengine - INFO - Epoch(train) [206][20/63] lr: 5.9130e-03 eta: 7:25:19 time: 0.3875 data_time: 0.0278 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6247 loss_db: 0.2200 loss: 3.7055 2022/08/26 00:21:47 - mmengine - INFO - Epoch(train) [206][25/63] lr: 5.9130e-03 eta: 7:25:19 time: 0.3755 data_time: 0.0221 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6263 loss_db: 0.2095 loss: 3.6972 2022/08/26 00:21:49 - mmengine - INFO - Epoch(train) [206][30/63] lr: 5.9130e-03 eta: 7:25:12 time: 0.3826 data_time: 0.0199 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6415 loss_db: 0.2289 loss: 3.7298 2022/08/26 00:21:51 - mmengine - INFO - Epoch(train) [206][35/63] lr: 5.9130e-03 eta: 7:25:12 time: 0.3819 data_time: 0.0217 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6290 loss_db: 0.2340 loss: 3.7215 2022/08/26 00:21:53 - mmengine - INFO - Epoch(train) [206][40/63] lr: 5.9130e-03 eta: 7:25:05 time: 0.3715 data_time: 0.0160 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6324 loss_db: 0.2170 loss: 3.7083 2022/08/26 00:21:57 - mmengine - INFO - Epoch(train) [206][45/63] lr: 5.9130e-03 eta: 7:25:05 time: 0.5557 data_time: 0.0259 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6288 loss_db: 0.2148 loss: 3.7032 2022/08/26 00:21:59 - mmengine - INFO - Epoch(train) [206][50/63] lr: 5.9130e-03 eta: 7:25:08 time: 0.5682 data_time: 0.0297 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6105 loss_db: 0.2278 loss: 3.6977 2022/08/26 00:22:01 - mmengine - INFO - Epoch(train) [206][55/63] lr: 5.9130e-03 eta: 7:25:08 time: 0.3843 data_time: 0.0197 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6303 loss_db: 0.2371 loss: 3.7268 2022/08/26 00:22:03 - mmengine - INFO - Epoch(train) [206][60/63] lr: 5.9130e-03 eta: 7:25:02 time: 0.3866 data_time: 0.0204 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6661 loss_db: 0.2513 loss: 3.7765 2022/08/26 00:22:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:22:07 - mmengine - INFO - Epoch(train) [207][5/63] lr: 5.9077e-03 eta: 7:25:02 time: 0.5127 data_time: 0.1562 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6809 loss_db: 0.2532 loss: 3.7933 2022/08/26 00:22:09 - mmengine - INFO - Epoch(train) [207][10/63] lr: 5.9077e-03 eta: 7:24:56 time: 0.5495 data_time: 0.1661 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6482 loss_db: 0.2374 loss: 3.7454 2022/08/26 00:22:11 - mmengine - INFO - Epoch(train) [207][15/63] lr: 5.9077e-03 eta: 7:24:56 time: 0.3910 data_time: 0.0217 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6203 loss_db: 0.2253 loss: 3.7059 2022/08/26 00:22:13 - mmengine - INFO - Epoch(train) [207][20/63] lr: 5.9077e-03 eta: 7:24:49 time: 0.3751 data_time: 0.0168 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6061 loss_db: 0.2333 loss: 3.7001 2022/08/26 00:22:14 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:22:17 - mmengine - INFO - Epoch(train) [207][25/63] lr: 5.9077e-03 eta: 7:24:49 time: 0.6295 data_time: 0.1023 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6031 loss_db: 0.2187 loss: 3.6819 2022/08/26 00:22:19 - mmengine - INFO - Epoch(train) [207][30/63] lr: 5.9077e-03 eta: 7:24:54 time: 0.6234 data_time: 0.1007 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6253 loss_db: 0.2243 loss: 3.7088 2022/08/26 00:22:21 - mmengine - INFO - Epoch(train) [207][35/63] lr: 5.9077e-03 eta: 7:24:54 time: 0.3976 data_time: 0.0242 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6486 loss_db: 0.2344 loss: 3.7427 2022/08/26 00:22:23 - mmengine - INFO - Epoch(train) [207][40/63] lr: 5.9077e-03 eta: 7:24:49 time: 0.3972 data_time: 0.0200 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6319 loss_db: 0.2156 loss: 3.7067 2022/08/26 00:22:25 - mmengine - INFO - Epoch(train) [207][45/63] lr: 5.9077e-03 eta: 7:24:49 time: 0.3748 data_time: 0.0159 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6425 loss_db: 0.2273 loss: 3.7285 2022/08/26 00:22:27 - mmengine - INFO - Epoch(train) [207][50/63] lr: 5.9077e-03 eta: 7:24:42 time: 0.3787 data_time: 0.0217 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6733 loss_db: 0.2372 loss: 3.7706 2022/08/26 00:22:29 - mmengine - INFO - Epoch(train) [207][55/63] lr: 5.9077e-03 eta: 7:24:42 time: 0.3724 data_time: 0.0186 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6574 loss_db: 0.2275 loss: 3.7466 2022/08/26 00:22:30 - mmengine - INFO - Epoch(train) [207][60/63] lr: 5.9077e-03 eta: 7:24:35 time: 0.3737 data_time: 0.0208 memory: 6760 loss_prob: 2.8625 loss_thr: 0.6451 loss_db: 0.2309 loss: 3.7385 2022/08/26 00:22:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:22:36 - mmengine - INFO - Epoch(train) [208][5/63] lr: 5.9023e-03 eta: 7:24:35 time: 0.5761 data_time: 0.1595 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6760 loss_db: 0.2503 loss: 3.7880 2022/08/26 00:22:37 - mmengine - INFO - Epoch(train) [208][10/63] lr: 5.9023e-03 eta: 7:24:32 time: 0.6017 data_time: 0.1639 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6600 loss_db: 0.2373 loss: 3.7587 2022/08/26 00:22:39 - mmengine - INFO - Epoch(train) [208][15/63] lr: 5.9023e-03 eta: 7:24:32 time: 0.3765 data_time: 0.0184 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6509 loss_db: 0.2332 loss: 3.7444 2022/08/26 00:22:41 - mmengine - INFO - Epoch(train) [208][20/63] lr: 5.9023e-03 eta: 7:24:26 time: 0.3810 data_time: 0.0272 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6558 loss_db: 0.2640 loss: 3.7800 2022/08/26 00:22:43 - mmengine - INFO - Epoch(train) [208][25/63] lr: 5.9023e-03 eta: 7:24:26 time: 0.3898 data_time: 0.0246 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6466 loss_db: 0.2650 loss: 3.7737 2022/08/26 00:22:45 - mmengine - INFO - Epoch(train) [208][30/63] lr: 5.9023e-03 eta: 7:24:21 time: 0.4158 data_time: 0.0232 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6469 loss_db: 0.2358 loss: 3.7435 2022/08/26 00:22:47 - mmengine - INFO - Epoch(train) [208][35/63] lr: 5.9023e-03 eta: 7:24:21 time: 0.4163 data_time: 0.0300 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6564 loss_db: 0.2342 loss: 3.7509 2022/08/26 00:22:49 - mmengine - INFO - Epoch(train) [208][40/63] lr: 5.9023e-03 eta: 7:24:14 time: 0.3758 data_time: 0.0175 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6512 loss_db: 0.2393 loss: 3.7513 2022/08/26 00:22:51 - mmengine - INFO - Epoch(train) [208][45/63] lr: 5.9023e-03 eta: 7:24:14 time: 0.3726 data_time: 0.0182 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6386 loss_db: 0.2381 loss: 3.7361 2022/08/26 00:22:53 - mmengine - INFO - Epoch(train) [208][50/63] lr: 5.9023e-03 eta: 7:24:08 time: 0.3836 data_time: 0.0331 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6169 loss_db: 0.2298 loss: 3.7046 2022/08/26 00:22:57 - mmengine - INFO - Epoch(train) [208][55/63] lr: 5.9023e-03 eta: 7:24:08 time: 0.5483 data_time: 0.0264 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6313 loss_db: 0.2260 loss: 3.7158 2022/08/26 00:22:59 - mmengine - INFO - Epoch(train) [208][60/63] lr: 5.9023e-03 eta: 7:24:12 time: 0.5974 data_time: 0.0479 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6403 loss_db: 0.2259 loss: 3.7248 2022/08/26 00:23:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:23:04 - mmengine - INFO - Epoch(train) [209][5/63] lr: 5.8970e-03 eta: 7:24:12 time: 0.5379 data_time: 0.1856 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6445 loss_db: 0.2368 loss: 3.7413 2022/08/26 00:23:06 - mmengine - INFO - Epoch(train) [209][10/63] lr: 5.8970e-03 eta: 7:24:06 time: 0.5514 data_time: 0.1977 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6599 loss_db: 0.2589 loss: 3.7801 2022/08/26 00:23:07 - mmengine - INFO - Epoch(train) [209][15/63] lr: 5.8970e-03 eta: 7:24:06 time: 0.3751 data_time: 0.0217 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6410 loss_db: 0.2467 loss: 3.7470 2022/08/26 00:23:09 - mmengine - INFO - Epoch(train) [209][20/63] lr: 5.8970e-03 eta: 7:24:00 time: 0.3894 data_time: 0.0158 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6293 loss_db: 0.2265 loss: 3.7137 2022/08/26 00:23:11 - mmengine - INFO - Epoch(train) [209][25/63] lr: 5.8970e-03 eta: 7:24:00 time: 0.3987 data_time: 0.0223 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6336 loss_db: 0.2224 loss: 3.7151 2022/08/26 00:23:13 - mmengine - INFO - Epoch(train) [209][30/63] lr: 5.8970e-03 eta: 7:23:54 time: 0.3821 data_time: 0.0173 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6417 loss_db: 0.2265 loss: 3.7285 2022/08/26 00:23:16 - mmengine - INFO - Epoch(train) [209][35/63] lr: 5.8970e-03 eta: 7:23:54 time: 0.4383 data_time: 0.0389 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6528 loss_db: 0.2468 loss: 3.7592 2022/08/26 00:23:18 - mmengine - INFO - Epoch(train) [209][40/63] lr: 5.8970e-03 eta: 7:23:50 time: 0.4357 data_time: 0.0425 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6600 loss_db: 0.2612 loss: 3.7798 2022/08/26 00:23:20 - mmengine - INFO - Epoch(train) [209][45/63] lr: 5.8970e-03 eta: 7:23:50 time: 0.3829 data_time: 0.0236 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6323 loss_db: 0.2355 loss: 3.7282 2022/08/26 00:23:21 - mmengine - INFO - Epoch(train) [209][50/63] lr: 5.8970e-03 eta: 7:23:44 time: 0.3843 data_time: 0.0250 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6191 loss_db: 0.2161 loss: 3.6978 2022/08/26 00:23:23 - mmengine - INFO - Epoch(train) [209][55/63] lr: 5.8970e-03 eta: 7:23:44 time: 0.3646 data_time: 0.0171 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6352 loss_db: 0.2316 loss: 3.7292 2022/08/26 00:23:26 - mmengine - INFO - Epoch(train) [209][60/63] lr: 5.8970e-03 eta: 7:23:41 time: 0.4598 data_time: 0.0246 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6185 loss_db: 0.2462 loss: 3.7275 2022/08/26 00:23:28 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:23:31 - mmengine - INFO - Epoch(train) [210][5/63] lr: 5.8916e-03 eta: 7:23:41 time: 0.5579 data_time: 0.1881 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6412 loss_db: 0.2210 loss: 3.7242 2022/08/26 00:23:33 - mmengine - INFO - Epoch(train) [210][10/63] lr: 5.8916e-03 eta: 7:23:36 time: 0.5563 data_time: 0.1811 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6467 loss_db: 0.2272 loss: 3.7329 2022/08/26 00:23:35 - mmengine - INFO - Epoch(train) [210][15/63] lr: 5.8916e-03 eta: 7:23:36 time: 0.4257 data_time: 0.0201 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6183 loss_db: 0.2169 loss: 3.6937 2022/08/26 00:23:37 - mmengine - INFO - Epoch(train) [210][20/63] lr: 5.8916e-03 eta: 7:23:31 time: 0.4123 data_time: 0.0209 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6187 loss_db: 0.2058 loss: 3.6835 2022/08/26 00:23:39 - mmengine - INFO - Epoch(train) [210][25/63] lr: 5.8916e-03 eta: 7:23:31 time: 0.3903 data_time: 0.0330 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6389 loss_db: 0.2195 loss: 3.7172 2022/08/26 00:23:41 - mmengine - INFO - Epoch(train) [210][30/63] lr: 5.8916e-03 eta: 7:23:24 time: 0.3820 data_time: 0.0202 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6350 loss_db: 0.2239 loss: 3.7183 2022/08/26 00:23:45 - mmengine - INFO - Epoch(train) [210][35/63] lr: 5.8916e-03 eta: 7:23:24 time: 0.5996 data_time: 0.1109 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6236 loss_db: 0.2318 loss: 3.7159 2022/08/26 00:23:47 - mmengine - INFO - Epoch(train) [210][40/63] lr: 5.8916e-03 eta: 7:23:28 time: 0.6020 data_time: 0.1176 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6504 loss_db: 0.2428 loss: 3.7546 2022/08/26 00:23:49 - mmengine - INFO - Epoch(train) [210][45/63] lr: 5.8916e-03 eta: 7:23:28 time: 0.3767 data_time: 0.0203 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6642 loss_db: 0.2553 loss: 3.7803 2022/08/26 00:23:51 - mmengine - INFO - Epoch(train) [210][50/63] lr: 5.8916e-03 eta: 7:23:22 time: 0.3773 data_time: 0.0268 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6265 loss_db: 0.2407 loss: 3.7265 2022/08/26 00:23:53 - mmengine - INFO - Epoch(train) [210][55/63] lr: 5.8916e-03 eta: 7:23:22 time: 0.3818 data_time: 0.0230 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6149 loss_db: 0.2158 loss: 3.6899 2022/08/26 00:23:55 - mmengine - INFO - Epoch(train) [210][60/63] lr: 5.8916e-03 eta: 7:23:19 time: 0.4629 data_time: 0.0158 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6392 loss_db: 0.2318 loss: 3.7318 2022/08/26 00:23:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:24:00 - mmengine - INFO - Epoch(train) [211][5/63] lr: 5.8862e-03 eta: 7:23:19 time: 0.5844 data_time: 0.1754 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6186 loss_db: 0.2463 loss: 3.7250 2022/08/26 00:24:02 - mmengine - INFO - Epoch(train) [211][10/63] lr: 5.8862e-03 eta: 7:23:13 time: 0.5420 data_time: 0.1905 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6253 loss_db: 0.2233 loss: 3.7078 2022/08/26 00:24:04 - mmengine - INFO - Epoch(train) [211][15/63] lr: 5.8862e-03 eta: 7:23:13 time: 0.3790 data_time: 0.0292 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6218 loss_db: 0.2166 loss: 3.6979 2022/08/26 00:24:06 - mmengine - INFO - Epoch(train) [211][20/63] lr: 5.8862e-03 eta: 7:23:06 time: 0.3731 data_time: 0.0177 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6175 loss_db: 0.2221 loss: 3.7005 2022/08/26 00:24:08 - mmengine - INFO - Epoch(train) [211][25/63] lr: 5.8862e-03 eta: 7:23:06 time: 0.4227 data_time: 0.0253 memory: 6760 loss_prob: 2.8634 loss_thr: 0.6261 loss_db: 0.2240 loss: 3.7135 2022/08/26 00:24:10 - mmengine - INFO - Epoch(train) [211][30/63] lr: 5.8862e-03 eta: 7:23:02 time: 0.4198 data_time: 0.0187 memory: 6760 loss_prob: 2.8649 loss_thr: 0.6542 loss_db: 0.2297 loss: 3.7488 2022/08/26 00:24:12 - mmengine - INFO - Epoch(train) [211][35/63] lr: 5.8862e-03 eta: 7:23:02 time: 0.3746 data_time: 0.0185 memory: 6760 loss_prob: 2.8649 loss_thr: 0.6697 loss_db: 0.2488 loss: 3.7835 2022/08/26 00:24:14 - mmengine - INFO - Epoch(train) [211][40/63] lr: 5.8862e-03 eta: 7:22:55 time: 0.3769 data_time: 0.0249 memory: 6760 loss_prob: 2.8638 loss_thr: 0.6436 loss_db: 0.2378 loss: 3.7453 2022/08/26 00:24:17 - mmengine - INFO - Epoch(train) [211][45/63] lr: 5.8862e-03 eta: 7:22:55 time: 0.4867 data_time: 0.0591 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6466 loss_db: 0.2328 loss: 3.7415 2022/08/26 00:24:19 - mmengine - INFO - Epoch(train) [211][50/63] lr: 5.8862e-03 eta: 7:22:54 time: 0.5020 data_time: 0.0615 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6174 loss_db: 0.2360 loss: 3.7138 2022/08/26 00:24:21 - mmengine - INFO - Epoch(train) [211][55/63] lr: 5.8862e-03 eta: 7:22:54 time: 0.3982 data_time: 0.0224 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6192 loss_db: 0.2275 loss: 3.7073 2022/08/26 00:24:22 - mmengine - INFO - Epoch(train) [211][60/63] lr: 5.8862e-03 eta: 7:22:48 time: 0.3825 data_time: 0.0184 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6443 loss_db: 0.2325 loss: 3.7377 2022/08/26 00:24:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:24:27 - mmengine - INFO - Epoch(train) [212][5/63] lr: 5.8809e-03 eta: 7:22:48 time: 0.5405 data_time: 0.1560 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6220 loss_db: 0.2242 loss: 3.7078 2022/08/26 00:24:29 - mmengine - INFO - Epoch(train) [212][10/63] lr: 5.8809e-03 eta: 7:22:42 time: 0.5484 data_time: 0.1560 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5975 loss_db: 0.2120 loss: 3.6702 2022/08/26 00:24:31 - mmengine - INFO - Epoch(train) [212][15/63] lr: 5.8809e-03 eta: 7:22:42 time: 0.3698 data_time: 0.0191 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6021 loss_db: 0.2297 loss: 3.6922 2022/08/26 00:24:33 - mmengine - INFO - Epoch(train) [212][20/63] lr: 5.8809e-03 eta: 7:22:36 time: 0.3748 data_time: 0.0183 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6035 loss_db: 0.2362 loss: 3.6990 2022/08/26 00:24:36 - mmengine - INFO - Epoch(train) [212][25/63] lr: 5.8809e-03 eta: 7:22:36 time: 0.4874 data_time: 0.0296 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6190 loss_db: 0.2370 loss: 3.7156 2022/08/26 00:24:38 - mmengine - INFO - Epoch(train) [212][30/63] lr: 5.8809e-03 eta: 7:22:34 time: 0.4862 data_time: 0.0314 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6278 loss_db: 0.2365 loss: 3.7253 2022/08/26 00:24:39 - mmengine - INFO - Epoch(train) [212][35/63] lr: 5.8809e-03 eta: 7:22:34 time: 0.3816 data_time: 0.0207 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6160 loss_db: 0.2256 loss: 3.7022 2022/08/26 00:24:41 - mmengine - INFO - Epoch(train) [212][40/63] lr: 5.8809e-03 eta: 7:22:28 time: 0.3834 data_time: 0.0206 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6317 loss_db: 0.2239 loss: 3.7167 2022/08/26 00:24:43 - mmengine - INFO - Epoch(train) [212][45/63] lr: 5.8809e-03 eta: 7:22:28 time: 0.3761 data_time: 0.0194 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6268 loss_db: 0.2190 loss: 3.7055 2022/08/26 00:24:46 - mmengine - INFO - Epoch(train) [212][50/63] lr: 5.8809e-03 eta: 7:22:26 time: 0.4878 data_time: 0.0352 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6247 loss_db: 0.2137 loss: 3.6962 2022/08/26 00:24:48 - mmengine - INFO - Epoch(train) [212][55/63] lr: 5.8809e-03 eta: 7:22:26 time: 0.4899 data_time: 0.0389 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6341 loss_db: 0.2243 loss: 3.7162 2022/08/26 00:24:50 - mmengine - INFO - Epoch(train) [212][60/63] lr: 5.8809e-03 eta: 7:22:20 time: 0.3752 data_time: 0.0198 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6426 loss_db: 0.2402 loss: 3.7427 2022/08/26 00:24:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:24:55 - mmengine - INFO - Epoch(train) [213][5/63] lr: 5.8755e-03 eta: 7:22:20 time: 0.5533 data_time: 0.1556 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6398 loss_db: 0.2323 loss: 3.7342 2022/08/26 00:24:57 - mmengine - INFO - Epoch(train) [213][10/63] lr: 5.8755e-03 eta: 7:22:15 time: 0.5651 data_time: 0.1646 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6336 loss_db: 0.2263 loss: 3.7203 2022/08/26 00:24:59 - mmengine - INFO - Epoch(train) [213][15/63] lr: 5.8755e-03 eta: 7:22:15 time: 0.3833 data_time: 0.0239 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6405 loss_db: 0.2331 loss: 3.7348 2022/08/26 00:25:01 - mmengine - INFO - Epoch(train) [213][20/63] lr: 5.8755e-03 eta: 7:22:08 time: 0.3813 data_time: 0.0148 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6191 loss_db: 0.2298 loss: 3.7096 2022/08/26 00:25:03 - mmengine - INFO - Epoch(train) [213][25/63] lr: 5.8755e-03 eta: 7:22:08 time: 0.3905 data_time: 0.0202 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6276 loss_db: 0.2372 loss: 3.7239 2022/08/26 00:25:06 - mmengine - INFO - Epoch(train) [213][30/63] lr: 5.8755e-03 eta: 7:22:09 time: 0.5396 data_time: 0.0457 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6203 loss_db: 0.2265 loss: 3.7062 2022/08/26 00:25:08 - mmengine - INFO - Epoch(train) [213][35/63] lr: 5.8755e-03 eta: 7:22:09 time: 0.5310 data_time: 0.0472 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6262 loss_db: 0.2299 loss: 3.7158 2022/08/26 00:25:10 - mmengine - INFO - Epoch(train) [213][40/63] lr: 5.8755e-03 eta: 7:22:02 time: 0.3677 data_time: 0.0213 memory: 6760 loss_prob: 2.8635 loss_thr: 0.6228 loss_db: 0.2260 loss: 3.7123 2022/08/26 00:25:12 - mmengine - INFO - Epoch(train) [213][45/63] lr: 5.8755e-03 eta: 7:22:02 time: 0.3702 data_time: 0.0214 memory: 6760 loss_prob: 2.8639 loss_thr: 0.6038 loss_db: 0.2110 loss: 3.6787 2022/08/26 00:25:13 - mmengine - INFO - Epoch(train) [213][50/63] lr: 5.8755e-03 eta: 7:21:56 time: 0.3714 data_time: 0.0222 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6162 loss_db: 0.2125 loss: 3.6906 2022/08/26 00:25:16 - mmengine - INFO - Epoch(train) [213][55/63] lr: 5.8755e-03 eta: 7:21:56 time: 0.4170 data_time: 0.0261 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6224 loss_db: 0.2317 loss: 3.7156 2022/08/26 00:25:18 - mmengine - INFO - Epoch(train) [213][60/63] lr: 5.8755e-03 eta: 7:21:52 time: 0.4449 data_time: 0.0391 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6269 loss_db: 0.2450 loss: 3.7322 2022/08/26 00:25:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:25:22 - mmengine - INFO - Epoch(train) [214][5/63] lr: 5.8702e-03 eta: 7:21:52 time: 0.5309 data_time: 0.1725 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6433 loss_db: 0.2313 loss: 3.7336 2022/08/26 00:25:25 - mmengine - INFO - Epoch(train) [214][10/63] lr: 5.8702e-03 eta: 7:21:48 time: 0.5755 data_time: 0.1725 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6480 loss_db: 0.2378 loss: 3.7441 2022/08/26 00:25:26 - mmengine - INFO - Epoch(train) [214][15/63] lr: 5.8702e-03 eta: 7:21:48 time: 0.4021 data_time: 0.0202 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6456 loss_db: 0.2400 loss: 3.7452 2022/08/26 00:25:28 - mmengine - INFO - Epoch(train) [214][20/63] lr: 5.8702e-03 eta: 7:21:41 time: 0.3667 data_time: 0.0185 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6474 loss_db: 0.2388 loss: 3.7464 2022/08/26 00:25:30 - mmengine - INFO - Epoch(train) [214][25/63] lr: 5.8702e-03 eta: 7:21:41 time: 0.3804 data_time: 0.0249 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6164 loss_db: 0.2290 loss: 3.7048 2022/08/26 00:25:32 - mmengine - INFO - Epoch(train) [214][30/63] lr: 5.8702e-03 eta: 7:21:35 time: 0.3871 data_time: 0.0242 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6167 loss_db: 0.2229 loss: 3.6997 2022/08/26 00:25:36 - mmengine - INFO - Epoch(train) [214][35/63] lr: 5.8702e-03 eta: 7:21:35 time: 0.6068 data_time: 0.0170 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6381 loss_db: 0.2264 loss: 3.7261 2022/08/26 00:25:39 - mmengine - INFO - Epoch(train) [214][40/63] lr: 5.8702e-03 eta: 7:21:40 time: 0.6435 data_time: 0.0277 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6218 loss_db: 0.2258 loss: 3.7085 2022/08/26 00:25:41 - mmengine - INFO - Epoch(train) [214][45/63] lr: 5.8702e-03 eta: 7:21:40 time: 0.4157 data_time: 0.0347 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6075 loss_db: 0.2244 loss: 3.6918 2022/08/26 00:25:42 - mmengine - INFO - Epoch(train) [214][50/63] lr: 5.8702e-03 eta: 7:21:34 time: 0.3791 data_time: 0.0254 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6239 loss_db: 0.2470 loss: 3.7305 2022/08/26 00:25:44 - mmengine - INFO - Epoch(train) [214][55/63] lr: 5.8702e-03 eta: 7:21:34 time: 0.3799 data_time: 0.0260 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6137 loss_db: 0.2492 loss: 3.7217 2022/08/26 00:25:46 - mmengine - INFO - Epoch(train) [214][60/63] lr: 5.8702e-03 eta: 7:21:28 time: 0.3856 data_time: 0.0261 memory: 6760 loss_prob: 2.8582 loss_thr: 0.5950 loss_db: 0.2232 loss: 3.6764 2022/08/26 00:25:47 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:25:51 - mmengine - INFO - Epoch(train) [215][5/63] lr: 5.8648e-03 eta: 7:21:28 time: 0.5540 data_time: 0.1689 memory: 6760 loss_prob: 2.8665 loss_thr: 0.6682 loss_db: 0.2654 loss: 3.8001 2022/08/26 00:25:53 - mmengine - INFO - Epoch(train) [215][10/63] lr: 5.8648e-03 eta: 7:21:23 time: 0.5737 data_time: 0.1830 memory: 6760 loss_prob: 2.8594 loss_thr: 0.5985 loss_db: 0.2172 loss: 3.6750 2022/08/26 00:25:55 - mmengine - INFO - Epoch(train) [215][15/63] lr: 5.8648e-03 eta: 7:21:23 time: 0.4159 data_time: 0.0277 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6096 loss_db: 0.2214 loss: 3.6902 2022/08/26 00:25:57 - mmengine - INFO - Epoch(train) [215][20/63] lr: 5.8648e-03 eta: 7:21:18 time: 0.4118 data_time: 0.0208 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6259 loss_db: 0.2242 loss: 3.7081 2022/08/26 00:26:00 - mmengine - INFO - Epoch(train) [215][25/63] lr: 5.8648e-03 eta: 7:21:18 time: 0.4420 data_time: 0.0269 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6135 loss_db: 0.2277 loss: 3.6985 2022/08/26 00:26:02 - mmengine - INFO - Epoch(train) [215][30/63] lr: 5.8648e-03 eta: 7:21:15 time: 0.4434 data_time: 0.0208 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6080 loss_db: 0.2395 loss: 3.7069 2022/08/26 00:26:04 - mmengine - INFO - Epoch(train) [215][35/63] lr: 5.8648e-03 eta: 7:21:15 time: 0.3865 data_time: 0.0239 memory: 6760 loss_prob: 2.8636 loss_thr: 0.6413 loss_db: 0.2459 loss: 3.7508 2022/08/26 00:26:06 - mmengine - INFO - Epoch(train) [215][40/63] lr: 5.8648e-03 eta: 7:21:08 time: 0.3853 data_time: 0.0282 memory: 6760 loss_prob: 2.8631 loss_thr: 0.6408 loss_db: 0.2392 loss: 3.7431 2022/08/26 00:26:07 - mmengine - INFO - Epoch(train) [215][45/63] lr: 5.8648e-03 eta: 7:21:08 time: 0.3831 data_time: 0.0226 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6282 loss_db: 0.2324 loss: 3.7224 2022/08/26 00:26:09 - mmengine - INFO - Epoch(train) [215][50/63] lr: 5.8648e-03 eta: 7:21:02 time: 0.3805 data_time: 0.0251 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6344 loss_db: 0.2316 loss: 3.7271 2022/08/26 00:26:11 - mmengine - INFO - Epoch(train) [215][55/63] lr: 5.8648e-03 eta: 7:21:02 time: 0.3814 data_time: 0.0198 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6323 loss_db: 0.2440 loss: 3.7385 2022/08/26 00:26:13 - mmengine - INFO - Epoch(train) [215][60/63] lr: 5.8648e-03 eta: 7:20:56 time: 0.3748 data_time: 0.0162 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6254 loss_db: 0.2340 loss: 3.7225 2022/08/26 00:26:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:26:21 - mmengine - INFO - Epoch(train) [216][5/63] lr: 5.8595e-03 eta: 7:20:56 time: 0.8295 data_time: 0.2283 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6331 loss_db: 0.2330 loss: 3.7253 2022/08/26 00:26:23 - mmengine - INFO - Epoch(train) [216][10/63] lr: 5.8595e-03 eta: 7:20:50 time: 0.5496 data_time: 0.1959 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6364 loss_db: 0.2352 loss: 3.7295 2022/08/26 00:26:24 - mmengine - INFO - Epoch(train) [216][15/63] lr: 5.8595e-03 eta: 7:20:50 time: 0.3766 data_time: 0.0218 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6360 loss_db: 0.2393 loss: 3.7323 2022/08/26 00:26:26 - mmengine - INFO - Epoch(train) [216][20/63] lr: 5.8595e-03 eta: 7:20:43 time: 0.3792 data_time: 0.0195 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6417 loss_db: 0.2401 loss: 3.7392 2022/08/26 00:26:28 - mmengine - INFO - Epoch(train) [216][25/63] lr: 5.8595e-03 eta: 7:20:43 time: 0.3873 data_time: 0.0290 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6801 loss_db: 0.2509 loss: 3.7902 2022/08/26 00:26:30 - mmengine - INFO - Epoch(train) [216][30/63] lr: 5.8595e-03 eta: 7:20:37 time: 0.3780 data_time: 0.0181 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6680 loss_db: 0.2555 loss: 3.7818 2022/08/26 00:26:32 - mmengine - INFO - Epoch(train) [216][35/63] lr: 5.8595e-03 eta: 7:20:37 time: 0.3810 data_time: 0.0169 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6233 loss_db: 0.2355 loss: 3.7154 2022/08/26 00:26:36 - mmengine - INFO - Epoch(train) [216][40/63] lr: 5.8595e-03 eta: 7:20:40 time: 0.5840 data_time: 0.0197 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6273 loss_db: 0.2122 loss: 3.6969 2022/08/26 00:26:38 - mmengine - INFO - Epoch(train) [216][45/63] lr: 5.8595e-03 eta: 7:20:40 time: 0.6190 data_time: 0.0327 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6271 loss_db: 0.2297 loss: 3.7149 2022/08/26 00:26:40 - mmengine - INFO - Epoch(train) [216][50/63] lr: 5.8595e-03 eta: 7:20:36 time: 0.4297 data_time: 0.0375 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6485 loss_db: 0.2542 loss: 3.7611 2022/08/26 00:26:42 - mmengine - INFO - Epoch(train) [216][55/63] lr: 5.8595e-03 eta: 7:20:36 time: 0.3905 data_time: 0.0179 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6663 loss_db: 0.2511 loss: 3.7759 2022/08/26 00:26:44 - mmengine - INFO - Epoch(train) [216][60/63] lr: 5.8595e-03 eta: 7:20:30 time: 0.3908 data_time: 0.0161 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6437 loss_db: 0.2464 loss: 3.7497 2022/08/26 00:26:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:26:49 - mmengine - INFO - Epoch(train) [217][5/63] lr: 5.8541e-03 eta: 7:20:30 time: 0.5086 data_time: 0.1579 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6221 loss_db: 0.2427 loss: 3.7276 2022/08/26 00:26:51 - mmengine - INFO - Epoch(train) [217][10/63] lr: 5.8541e-03 eta: 7:20:23 time: 0.5344 data_time: 0.1684 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6105 loss_db: 0.2165 loss: 3.6886 2022/08/26 00:26:52 - mmengine - INFO - Epoch(train) [217][15/63] lr: 5.8541e-03 eta: 7:20:23 time: 0.3929 data_time: 0.0241 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6365 loss_db: 0.2232 loss: 3.7203 2022/08/26 00:26:55 - mmengine - INFO - Epoch(train) [217][20/63] lr: 5.8541e-03 eta: 7:20:20 time: 0.4414 data_time: 0.0254 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6213 loss_db: 0.2297 loss: 3.7124 2022/08/26 00:26:58 - mmengine - INFO - Epoch(train) [217][25/63] lr: 5.8541e-03 eta: 7:20:20 time: 0.5563 data_time: 0.0351 memory: 6760 loss_prob: 2.8646 loss_thr: 0.5940 loss_db: 0.2239 loss: 3.6824 2022/08/26 00:27:00 - mmengine - INFO - Epoch(train) [217][30/63] lr: 5.8541e-03 eta: 7:20:19 time: 0.5111 data_time: 0.0304 memory: 6760 loss_prob: 2.8642 loss_thr: 0.6382 loss_db: 0.2307 loss: 3.7332 2022/08/26 00:27:02 - mmengine - INFO - Epoch(train) [217][35/63] lr: 5.8541e-03 eta: 7:20:19 time: 0.4071 data_time: 0.0290 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6384 loss_db: 0.2261 loss: 3.7253 2022/08/26 00:27:04 - mmengine - INFO - Epoch(train) [217][40/63] lr: 5.8541e-03 eta: 7:20:14 time: 0.3931 data_time: 0.0226 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6207 loss_db: 0.2306 loss: 3.7100 2022/08/26 00:27:06 - mmengine - INFO - Epoch(train) [217][45/63] lr: 5.8541e-03 eta: 7:20:14 time: 0.3792 data_time: 0.0172 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6260 loss_db: 0.2230 loss: 3.7079 2022/08/26 00:27:08 - mmengine - INFO - Epoch(train) [217][50/63] lr: 5.8541e-03 eta: 7:20:07 time: 0.3760 data_time: 0.0185 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6417 loss_db: 0.2133 loss: 3.7151 2022/08/26 00:27:10 - mmengine - INFO - Epoch(train) [217][55/63] lr: 5.8541e-03 eta: 7:20:07 time: 0.3723 data_time: 0.0158 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6455 loss_db: 0.2326 loss: 3.7365 2022/08/26 00:27:11 - mmengine - INFO - Epoch(train) [217][60/63] lr: 5.8541e-03 eta: 7:20:00 time: 0.3698 data_time: 0.0189 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6450 loss_db: 0.2472 loss: 3.7492 2022/08/26 00:27:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:27:17 - mmengine - INFO - Epoch(train) [218][5/63] lr: 5.8487e-03 eta: 7:20:00 time: 0.6442 data_time: 0.1753 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6659 loss_db: 0.2249 loss: 3.7510 2022/08/26 00:27:19 - mmengine - INFO - Epoch(train) [218][10/63] lr: 5.8487e-03 eta: 7:19:59 time: 0.6562 data_time: 0.1749 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6285 loss_db: 0.2208 loss: 3.7075 2022/08/26 00:27:21 - mmengine - INFO - Epoch(train) [218][15/63] lr: 5.8487e-03 eta: 7:19:59 time: 0.3829 data_time: 0.0191 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6420 loss_db: 0.2574 loss: 3.7590 2022/08/26 00:27:23 - mmengine - INFO - Epoch(train) [218][20/63] lr: 5.8487e-03 eta: 7:19:53 time: 0.3885 data_time: 0.0151 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6749 loss_db: 0.2472 loss: 3.7843 2022/08/26 00:27:25 - mmengine - INFO - Epoch(train) [218][25/63] lr: 5.8487e-03 eta: 7:19:53 time: 0.4066 data_time: 0.0253 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6132 loss_db: 0.2203 loss: 3.6936 2022/08/26 00:27:27 - mmengine - INFO - Epoch(train) [218][30/63] lr: 5.8487e-03 eta: 7:19:48 time: 0.4012 data_time: 0.0263 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6089 loss_db: 0.2318 loss: 3.6994 2022/08/26 00:27:29 - mmengine - INFO - Epoch(train) [218][35/63] lr: 5.8487e-03 eta: 7:19:48 time: 0.3747 data_time: 0.0204 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6624 loss_db: 0.2536 loss: 3.7755 2022/08/26 00:27:31 - mmengine - INFO - Epoch(train) [218][40/63] lr: 5.8487e-03 eta: 7:19:41 time: 0.3705 data_time: 0.0189 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6465 loss_db: 0.2417 loss: 3.7474 2022/08/26 00:27:33 - mmengine - INFO - Epoch(train) [218][45/63] lr: 5.8487e-03 eta: 7:19:41 time: 0.3788 data_time: 0.0183 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6534 loss_db: 0.2340 loss: 3.7483 2022/08/26 00:27:37 - mmengine - INFO - Epoch(train) [218][50/63] lr: 5.8487e-03 eta: 7:19:47 time: 0.6401 data_time: 0.0464 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6779 loss_db: 0.2620 loss: 3.8005 2022/08/26 00:27:39 - mmengine - INFO - Epoch(train) [218][55/63] lr: 5.8487e-03 eta: 7:19:47 time: 0.6661 data_time: 0.0628 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6617 loss_db: 0.2441 loss: 3.7650 2022/08/26 00:27:41 - mmengine - INFO - Epoch(train) [218][60/63] lr: 5.8487e-03 eta: 7:19:41 time: 0.4049 data_time: 0.0359 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6410 loss_db: 0.2245 loss: 3.7263 2022/08/26 00:27:42 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:27:46 - mmengine - INFO - Epoch(train) [219][5/63] lr: 5.8434e-03 eta: 7:19:41 time: 0.5345 data_time: 0.1744 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6248 loss_db: 0.2352 loss: 3.7195 2022/08/26 00:27:48 - mmengine - INFO - Epoch(train) [219][10/63] lr: 5.8434e-03 eta: 7:19:36 time: 0.5548 data_time: 0.1841 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6297 loss_db: 0.2401 loss: 3.7283 2022/08/26 00:27:50 - mmengine - INFO - Epoch(train) [219][15/63] lr: 5.8434e-03 eta: 7:19:36 time: 0.3911 data_time: 0.0263 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6911 loss_db: 0.2774 loss: 3.8297 2022/08/26 00:27:52 - mmengine - INFO - Epoch(train) [219][20/63] lr: 5.8434e-03 eta: 7:19:30 time: 0.3838 data_time: 0.0213 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6731 loss_db: 0.2657 loss: 3.8005 2022/08/26 00:27:53 - mmengine - INFO - Epoch(train) [219][25/63] lr: 5.8434e-03 eta: 7:19:30 time: 0.3758 data_time: 0.0185 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6191 loss_db: 0.2297 loss: 3.7082 2022/08/26 00:27:58 - mmengine - INFO - Epoch(train) [219][30/63] lr: 5.8434e-03 eta: 7:19:33 time: 0.6050 data_time: 0.0225 memory: 6760 loss_prob: 2.8585 loss_thr: 0.5962 loss_db: 0.2195 loss: 3.6741 2022/08/26 00:28:00 - mmengine - INFO - Epoch(train) [219][35/63] lr: 5.8434e-03 eta: 7:19:33 time: 0.6088 data_time: 0.0309 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6264 loss_db: 0.2271 loss: 3.7121 2022/08/26 00:28:01 - mmengine - INFO - Epoch(train) [219][40/63] lr: 5.8434e-03 eta: 7:19:27 time: 0.3830 data_time: 0.0281 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6769 loss_db: 0.2359 loss: 3.7725 2022/08/26 00:28:03 - mmengine - INFO - Epoch(train) [219][45/63] lr: 5.8434e-03 eta: 7:19:27 time: 0.3747 data_time: 0.0238 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6506 loss_db: 0.2195 loss: 3.7295 2022/08/26 00:28:05 - mmengine - INFO - Epoch(train) [219][50/63] lr: 5.8434e-03 eta: 7:19:21 time: 0.3826 data_time: 0.0234 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6029 loss_db: 0.2168 loss: 3.6785 2022/08/26 00:28:07 - mmengine - INFO - Epoch(train) [219][55/63] lr: 5.8434e-03 eta: 7:19:21 time: 0.3783 data_time: 0.0178 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5989 loss_db: 0.2156 loss: 3.6748 2022/08/26 00:28:09 - mmengine - INFO - Epoch(train) [219][60/63] lr: 5.8434e-03 eta: 7:19:14 time: 0.3697 data_time: 0.0151 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6244 loss_db: 0.2306 loss: 3.7173 2022/08/26 00:28:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:28:13 - mmengine - INFO - Epoch(train) [220][5/63] lr: 5.8380e-03 eta: 7:19:14 time: 0.5116 data_time: 0.1528 memory: 6760 loss_prob: 2.8634 loss_thr: 0.6354 loss_db: 0.2280 loss: 3.7268 2022/08/26 00:28:16 - mmengine - INFO - Epoch(train) [220][10/63] lr: 5.8380e-03 eta: 7:19:10 time: 0.5813 data_time: 0.1750 memory: 6760 loss_prob: 2.8636 loss_thr: 0.6407 loss_db: 0.2306 loss: 3.7350 2022/08/26 00:28:18 - mmengine - INFO - Epoch(train) [220][15/63] lr: 5.8380e-03 eta: 7:19:10 time: 0.4371 data_time: 0.0334 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6597 loss_db: 0.2557 loss: 3.7784 2022/08/26 00:28:20 - mmengine - INFO - Epoch(train) [220][20/63] lr: 5.8380e-03 eta: 7:19:03 time: 0.3766 data_time: 0.0189 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6441 loss_db: 0.2501 loss: 3.7551 2022/08/26 00:28:21 - mmengine - INFO - Epoch(train) [220][25/63] lr: 5.8380e-03 eta: 7:19:03 time: 0.3661 data_time: 0.0202 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6211 loss_db: 0.2344 loss: 3.7174 2022/08/26 00:28:23 - mmengine - INFO - Epoch(train) [220][30/63] lr: 5.8380e-03 eta: 7:18:56 time: 0.3659 data_time: 0.0172 memory: 6760 loss_prob: 2.8637 loss_thr: 0.6380 loss_db: 0.2397 loss: 3.7415 2022/08/26 00:28:27 - mmengine - INFO - Epoch(train) [220][35/63] lr: 5.8380e-03 eta: 7:18:56 time: 0.5365 data_time: 0.0381 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6357 loss_db: 0.2324 loss: 3.7285 2022/08/26 00:28:29 - mmengine - INFO - Epoch(train) [220][40/63] lr: 5.8380e-03 eta: 7:18:58 time: 0.5520 data_time: 0.0407 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6325 loss_db: 0.2300 loss: 3.7197 2022/08/26 00:28:31 - mmengine - INFO - Epoch(train) [220][45/63] lr: 5.8380e-03 eta: 7:18:58 time: 0.4019 data_time: 0.0237 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6463 loss_db: 0.2398 loss: 3.7437 2022/08/26 00:28:33 - mmengine - INFO - Epoch(train) [220][50/63] lr: 5.8380e-03 eta: 7:18:52 time: 0.3912 data_time: 0.0256 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6317 loss_db: 0.2306 loss: 3.7210 2022/08/26 00:28:35 - mmengine - INFO - Epoch(train) [220][55/63] lr: 5.8380e-03 eta: 7:18:52 time: 0.4014 data_time: 0.0282 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6188 loss_db: 0.2245 loss: 3.6998 2022/08/26 00:28:37 - mmengine - INFO - Epoch(train) [220][60/63] lr: 5.8380e-03 eta: 7:18:46 time: 0.3956 data_time: 0.0262 memory: 6760 loss_prob: 2.8547 loss_thr: 0.5984 loss_db: 0.2142 loss: 3.6673 2022/08/26 00:28:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:28:38 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/26 00:28:42 - mmengine - INFO - Epoch(val) [220][5/500] eta: 7:18:46 time: 0.2227 data_time: 0.0103 memory: 6760 2022/08/26 00:28:43 - mmengine - INFO - Epoch(val) [220][10/500] eta: 0:01:40 time: 0.2046 data_time: 0.0087 memory: 425 2022/08/26 00:28:44 - mmengine - INFO - Epoch(val) [220][15/500] eta: 0:01:40 time: 0.1674 data_time: 0.0023 memory: 425 2022/08/26 00:28:45 - mmengine - INFO - Epoch(val) [220][20/500] eta: 0:01:17 time: 0.1611 data_time: 0.0027 memory: 425 2022/08/26 00:28:45 - mmengine - INFO - Epoch(val) [220][25/500] eta: 0:01:17 time: 0.1748 data_time: 0.0028 memory: 425 2022/08/26 00:28:46 - mmengine - INFO - Epoch(val) [220][30/500] eta: 0:01:29 time: 0.1894 data_time: 0.0019 memory: 425 2022/08/26 00:28:47 - mmengine - INFO - Epoch(val) [220][35/500] eta: 0:01:29 time: 0.1815 data_time: 0.0019 memory: 425 2022/08/26 00:28:48 - mmengine - INFO - Epoch(val) [220][40/500] eta: 0:01:32 time: 0.2014 data_time: 0.0019 memory: 425 2022/08/26 00:28:49 - mmengine - INFO - Epoch(val) [220][45/500] eta: 0:01:32 time: 0.2177 data_time: 0.0019 memory: 425 2022/08/26 00:28:51 - mmengine - INFO - Epoch(val) [220][50/500] eta: 0:01:30 time: 0.2007 data_time: 0.0019 memory: 425 2022/08/26 00:28:52 - mmengine - INFO - Epoch(val) [220][55/500] eta: 0:01:30 time: 0.2286 data_time: 0.0064 memory: 425 2022/08/26 00:28:53 - mmengine - INFO - Epoch(val) [220][60/500] eta: 0:01:37 time: 0.2226 data_time: 0.0072 memory: 425 2022/08/26 00:28:54 - mmengine - INFO - Epoch(val) [220][65/500] eta: 0:01:37 time: 0.2117 data_time: 0.0026 memory: 425 2022/08/26 00:28:56 - mmengine - INFO - Epoch(val) [220][70/500] eta: 0:02:07 time: 0.2976 data_time: 0.0165 memory: 425 2022/08/26 00:28:56 - mmengine - INFO - Epoch(val) [220][75/500] eta: 0:02:07 time: 0.2559 data_time: 0.0176 memory: 425 2022/08/26 00:28:57 - mmengine - INFO - Epoch(val) [220][80/500] eta: 0:01:09 time: 0.1655 data_time: 0.0031 memory: 425 2022/08/26 00:28:58 - mmengine - INFO - Epoch(val) [220][85/500] eta: 0:01:09 time: 0.1613 data_time: 0.0021 memory: 425 2022/08/26 00:28:59 - mmengine - INFO - Epoch(val) [220][90/500] eta: 0:01:14 time: 0.1813 data_time: 0.0023 memory: 425 2022/08/26 00:29:00 - mmengine - INFO - Epoch(val) [220][95/500] eta: 0:01:14 time: 0.1966 data_time: 0.0021 memory: 425 2022/08/26 00:29:01 - mmengine - INFO - Epoch(val) [220][100/500] eta: 0:01:05 time: 0.1632 data_time: 0.0018 memory: 425 2022/08/26 00:29:02 - mmengine - INFO - Epoch(val) [220][105/500] eta: 0:01:05 time: 0.1535 data_time: 0.0018 memory: 425 2022/08/26 00:29:02 - mmengine - INFO - Epoch(val) [220][110/500] eta: 0:01:01 time: 0.1564 data_time: 0.0018 memory: 425 2022/08/26 00:29:03 - mmengine - INFO - Epoch(val) [220][115/500] eta: 0:01:01 time: 0.1652 data_time: 0.0018 memory: 425 2022/08/26 00:29:04 - mmengine - INFO - Epoch(val) [220][120/500] eta: 0:01:04 time: 0.1691 data_time: 0.0018 memory: 425 2022/08/26 00:29:06 - mmengine - INFO - Epoch(val) [220][125/500] eta: 0:01:04 time: 0.2622 data_time: 0.0032 memory: 425 2022/08/26 00:29:07 - mmengine - INFO - Epoch(val) [220][130/500] eta: 0:01:29 time: 0.2432 data_time: 0.0033 memory: 425 2022/08/26 00:29:07 - mmengine - INFO - Epoch(val) [220][135/500] eta: 0:01:29 time: 0.1380 data_time: 0.0019 memory: 425 2022/08/26 00:29:08 - mmengine - INFO - Epoch(val) [220][140/500] eta: 0:00:52 time: 0.1456 data_time: 0.0017 memory: 425 2022/08/26 00:29:09 - mmengine - INFO - Epoch(val) [220][145/500] eta: 0:00:52 time: 0.1732 data_time: 0.0018 memory: 425 2022/08/26 00:29:10 - mmengine - INFO - Epoch(val) [220][150/500] eta: 0:01:10 time: 0.2008 data_time: 0.0019 memory: 425 2022/08/26 00:29:11 - mmengine - INFO - Epoch(val) [220][155/500] eta: 0:01:10 time: 0.1981 data_time: 0.0018 memory: 425 2022/08/26 00:29:12 - mmengine - INFO - Epoch(val) [220][160/500] eta: 0:01:06 time: 0.1970 data_time: 0.0018 memory: 425 2022/08/26 00:29:13 - mmengine - INFO - Epoch(val) [220][165/500] eta: 0:01:06 time: 0.1902 data_time: 0.0018 memory: 425 2022/08/26 00:29:14 - mmengine - INFO - Epoch(val) [220][170/500] eta: 0:01:08 time: 0.2077 data_time: 0.0018 memory: 425 2022/08/26 00:29:16 - mmengine - INFO - Epoch(val) [220][175/500] eta: 0:01:08 time: 0.3479 data_time: 0.0257 memory: 425 2022/08/26 00:29:17 - mmengine - INFO - Epoch(val) [220][180/500] eta: 0:01:42 time: 0.3212 data_time: 0.0275 memory: 425 2022/08/26 00:29:18 - mmengine - INFO - Epoch(val) [220][185/500] eta: 0:01:42 time: 0.2015 data_time: 0.0038 memory: 425 2022/08/26 00:29:19 - mmengine - INFO - Epoch(val) [220][190/500] eta: 0:01:02 time: 0.2032 data_time: 0.0020 memory: 425 2022/08/26 00:29:20 - mmengine - INFO - Epoch(val) [220][195/500] eta: 0:01:02 time: 0.1935 data_time: 0.0018 memory: 425 2022/08/26 00:29:21 - mmengine - INFO - Epoch(val) [220][200/500] eta: 0:01:05 time: 0.2182 data_time: 0.0017 memory: 425 2022/08/26 00:29:22 - mmengine - INFO - Epoch(val) [220][205/500] eta: 0:01:05 time: 0.2087 data_time: 0.0017 memory: 425 2022/08/26 00:29:23 - mmengine - INFO - Epoch(val) [220][210/500] eta: 0:00:42 time: 0.1472 data_time: 0.0017 memory: 425 2022/08/26 00:29:24 - mmengine - INFO - Epoch(val) [220][215/500] eta: 0:00:42 time: 0.1321 data_time: 0.0017 memory: 425 2022/08/26 00:29:25 - mmengine - INFO - Epoch(val) [220][220/500] eta: 0:00:59 time: 0.2128 data_time: 0.0027 memory: 425 2022/08/26 00:29:26 - mmengine - INFO - Epoch(val) [220][225/500] eta: 0:00:59 time: 0.2368 data_time: 0.0040 memory: 425 2022/08/26 00:29:27 - mmengine - INFO - Epoch(val) [220][230/500] eta: 0:00:49 time: 0.1837 data_time: 0.0030 memory: 425 2022/08/26 00:29:28 - mmengine - INFO - Epoch(val) [220][235/500] eta: 0:00:49 time: 0.1823 data_time: 0.0022 memory: 425 2022/08/26 00:29:29 - mmengine - INFO - Epoch(val) [220][240/500] eta: 0:00:53 time: 0.2041 data_time: 0.0022 memory: 425 2022/08/26 00:29:30 - mmengine - INFO - Epoch(val) [220][245/500] eta: 0:00:53 time: 0.1914 data_time: 0.0018 memory: 425 2022/08/26 00:29:31 - mmengine - INFO - Epoch(val) [220][250/500] eta: 0:00:48 time: 0.1933 data_time: 0.0018 memory: 425 2022/08/26 00:29:32 - mmengine - INFO - Epoch(val) [220][255/500] eta: 0:00:48 time: 0.2065 data_time: 0.0019 memory: 425 2022/08/26 00:29:33 - mmengine - INFO - Epoch(val) [220][260/500] eta: 0:00:42 time: 0.1761 data_time: 0.0018 memory: 425 2022/08/26 00:29:33 - mmengine - INFO - Epoch(val) [220][265/500] eta: 0:00:42 time: 0.1427 data_time: 0.0018 memory: 425 2022/08/26 00:29:35 - mmengine - INFO - Epoch(val) [220][270/500] eta: 0:00:58 time: 0.2533 data_time: 0.0018 memory: 425 2022/08/26 00:29:36 - mmengine - INFO - Epoch(val) [220][275/500] eta: 0:00:58 time: 0.2781 data_time: 0.0086 memory: 425 2022/08/26 00:29:37 - mmengine - INFO - Epoch(val) [220][280/500] eta: 0:00:42 time: 0.1938 data_time: 0.0090 memory: 425 2022/08/26 00:29:38 - mmengine - INFO - Epoch(val) [220][285/500] eta: 0:00:42 time: 0.1820 data_time: 0.0022 memory: 425 2022/08/26 00:29:39 - mmengine - INFO - Epoch(val) [220][290/500] eta: 0:00:32 time: 0.1569 data_time: 0.0018 memory: 425 2022/08/26 00:29:40 - mmengine - INFO - Epoch(val) [220][295/500] eta: 0:00:32 time: 0.1708 data_time: 0.0018 memory: 425 2022/08/26 00:29:40 - mmengine - INFO - Epoch(val) [220][300/500] eta: 0:00:34 time: 0.1724 data_time: 0.0018 memory: 425 2022/08/26 00:29:41 - mmengine - INFO - Epoch(val) [220][305/500] eta: 0:00:34 time: 0.1562 data_time: 0.0024 memory: 425 2022/08/26 00:29:42 - mmengine - INFO - Epoch(val) [220][310/500] eta: 0:00:34 time: 0.1805 data_time: 0.0024 memory: 425 2022/08/26 00:29:43 - mmengine - INFO - Epoch(val) [220][315/500] eta: 0:00:34 time: 0.2167 data_time: 0.0018 memory: 425 2022/08/26 00:29:44 - mmengine - INFO - Epoch(val) [220][320/500] eta: 0:00:36 time: 0.2028 data_time: 0.0018 memory: 425 2022/08/26 00:29:46 - mmengine - INFO - Epoch(val) [220][325/500] eta: 0:00:36 time: 0.3055 data_time: 0.0101 memory: 425 2022/08/26 00:29:47 - mmengine - INFO - Epoch(val) [220][330/500] eta: 0:00:49 time: 0.2933 data_time: 0.0102 memory: 425 2022/08/26 00:29:48 - mmengine - INFO - Epoch(val) [220][335/500] eta: 0:00:49 time: 0.1575 data_time: 0.0019 memory: 425 2022/08/26 00:29:49 - mmengine - INFO - Epoch(val) [220][340/500] eta: 0:00:30 time: 0.1936 data_time: 0.0018 memory: 425 2022/08/26 00:29:50 - mmengine - INFO - Epoch(val) [220][345/500] eta: 0:00:30 time: 0.1910 data_time: 0.0018 memory: 425 2022/08/26 00:29:52 - mmengine - INFO - Epoch(val) [220][350/500] eta: 0:00:39 time: 0.2653 data_time: 0.0019 memory: 425 2022/08/26 00:29:53 - mmengine - INFO - Epoch(val) [220][355/500] eta: 0:00:39 time: 0.2755 data_time: 0.0019 memory: 425 2022/08/26 00:29:53 - mmengine - INFO - Epoch(val) [220][360/500] eta: 0:00:23 time: 0.1697 data_time: 0.0018 memory: 425 2022/08/26 00:29:55 - mmengine - INFO - Epoch(val) [220][365/500] eta: 0:00:23 time: 0.2554 data_time: 0.0018 memory: 425 2022/08/26 00:29:56 - mmengine - INFO - Epoch(val) [220][370/500] eta: 0:00:39 time: 0.3026 data_time: 0.0205 memory: 425 2022/08/26 00:29:57 - mmengine - INFO - Epoch(val) [220][375/500] eta: 0:00:39 time: 0.2098 data_time: 0.0205 memory: 425 2022/08/26 00:29:58 - mmengine - INFO - Epoch(val) [220][380/500] eta: 0:00:19 time: 0.1610 data_time: 0.0018 memory: 425 2022/08/26 00:29:59 - mmengine - INFO - Epoch(val) [220][385/500] eta: 0:00:19 time: 0.1664 data_time: 0.0018 memory: 425 2022/08/26 00:30:00 - mmengine - INFO - Epoch(val) [220][390/500] eta: 0:00:16 time: 0.1514 data_time: 0.0018 memory: 425 2022/08/26 00:30:00 - mmengine - INFO - Epoch(val) [220][395/500] eta: 0:00:16 time: 0.1453 data_time: 0.0017 memory: 425 2022/08/26 00:30:01 - mmengine - INFO - Epoch(val) [220][400/500] eta: 0:00:16 time: 0.1603 data_time: 0.0017 memory: 425 2022/08/26 00:30:02 - mmengine - INFO - Epoch(val) [220][405/500] eta: 0:00:16 time: 0.1694 data_time: 0.0017 memory: 425 2022/08/26 00:30:03 - mmengine - INFO - Epoch(val) [220][410/500] eta: 0:00:15 time: 0.1747 data_time: 0.0017 memory: 425 2022/08/26 00:30:04 - mmengine - INFO - Epoch(val) [220][415/500] eta: 0:00:15 time: 0.1564 data_time: 0.0017 memory: 425 2022/08/26 00:30:04 - mmengine - INFO - Epoch(val) [220][420/500] eta: 0:00:11 time: 0.1433 data_time: 0.0017 memory: 425 2022/08/26 00:30:06 - mmengine - INFO - Epoch(val) [220][425/500] eta: 0:00:11 time: 0.2025 data_time: 0.0048 memory: 425 2022/08/26 00:30:07 - mmengine - INFO - Epoch(val) [220][430/500] eta: 0:00:14 time: 0.2139 data_time: 0.0049 memory: 425 2022/08/26 00:30:07 - mmengine - INFO - Epoch(val) [220][435/500] eta: 0:00:14 time: 0.1519 data_time: 0.0018 memory: 425 2022/08/26 00:30:08 - mmengine - INFO - Epoch(val) [220][440/500] eta: 0:00:09 time: 0.1542 data_time: 0.0017 memory: 425 2022/08/26 00:30:09 - mmengine - INFO - Epoch(val) [220][445/500] eta: 0:00:09 time: 0.2028 data_time: 0.0018 memory: 425 2022/08/26 00:30:10 - mmengine - INFO - Epoch(val) [220][450/500] eta: 0:00:10 time: 0.2075 data_time: 0.0018 memory: 425 2022/08/26 00:30:11 - mmengine - INFO - Epoch(val) [220][455/500] eta: 0:00:10 time: 0.1925 data_time: 0.0018 memory: 425 2022/08/26 00:30:12 - mmengine - INFO - Epoch(val) [220][460/500] eta: 0:00:06 time: 0.1652 data_time: 0.0018 memory: 425 2022/08/26 00:30:12 - mmengine - INFO - Epoch(val) [220][465/500] eta: 0:00:06 time: 0.1321 data_time: 0.0018 memory: 425 2022/08/26 00:30:13 - mmengine - INFO - Epoch(val) [220][470/500] eta: 0:00:04 time: 0.1658 data_time: 0.0019 memory: 425 2022/08/26 00:30:16 - mmengine - INFO - Epoch(val) [220][475/500] eta: 0:00:04 time: 0.3288 data_time: 0.0194 memory: 425 2022/08/26 00:30:17 - mmengine - INFO - Epoch(val) [220][480/500] eta: 0:00:06 time: 0.3218 data_time: 0.0203 memory: 425 2022/08/26 00:30:18 - mmengine - INFO - Epoch(val) [220][485/500] eta: 0:00:06 time: 0.1891 data_time: 0.0027 memory: 425 2022/08/26 00:30:18 - mmengine - INFO - Epoch(val) [220][490/500] eta: 0:00:01 time: 0.1650 data_time: 0.0018 memory: 425 2022/08/26 00:30:19 - mmengine - INFO - Epoch(val) [220][495/500] eta: 0:00:01 time: 0.1584 data_time: 0.0022 memory: 425 2022/08/26 00:30:20 - mmengine - INFO - Epoch(val) [220][500/500] eta: 0:00:00 time: 0.1990 data_time: 0.0022 memory: 425 2022/08/26 00:30:20 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:30:20 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0091, precision: 0.0003, hmean: 0.0006 2022/08/26 00:30:20 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:30:20 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:30:20 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:30:20 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:30:20 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:30:20 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:30:20 - mmengine - INFO - Epoch(val) [220][500/500] icdar/precision: 0.0003 icdar/recall: 0.0091 icdar/hmean: 0.0006 2022/08/26 00:30:24 - mmengine - INFO - Epoch(train) [221][5/63] lr: 5.8327e-03 eta: 0:00:00 time: 0.6034 data_time: 0.1648 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6228 loss_db: 0.2227 loss: 3.7016 2022/08/26 00:30:26 - mmengine - INFO - Epoch(train) [221][10/63] lr: 5.8327e-03 eta: 7:18:42 time: 0.5877 data_time: 0.1825 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6480 loss_db: 0.2367 loss: 3.7458 2022/08/26 00:30:28 - mmengine - INFO - Epoch(train) [221][15/63] lr: 5.8327e-03 eta: 7:18:42 time: 0.3845 data_time: 0.0242 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6610 loss_db: 0.2340 loss: 3.7573 2022/08/26 00:30:30 - mmengine - INFO - Epoch(train) [221][20/63] lr: 5.8327e-03 eta: 7:18:35 time: 0.3644 data_time: 0.0142 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6602 loss_db: 0.2381 loss: 3.7581 2022/08/26 00:30:32 - mmengine - INFO - Epoch(train) [221][25/63] lr: 5.8327e-03 eta: 7:18:35 time: 0.3660 data_time: 0.0175 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6673 loss_db: 0.2473 loss: 3.7767 2022/08/26 00:30:34 - mmengine - INFO - Epoch(train) [221][30/63] lr: 5.8327e-03 eta: 7:18:29 time: 0.3800 data_time: 0.0205 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6455 loss_db: 0.2205 loss: 3.7291 2022/08/26 00:30:37 - mmengine - INFO - Epoch(train) [221][35/63] lr: 5.8327e-03 eta: 7:18:29 time: 0.5362 data_time: 0.0334 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5975 loss_db: 0.1977 loss: 3.6568 2022/08/26 00:30:39 - mmengine - INFO - Epoch(train) [221][40/63] lr: 5.8327e-03 eta: 7:18:29 time: 0.5220 data_time: 0.0264 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5667 loss_db: 0.2046 loss: 3.6315 2022/08/26 00:30:41 - mmengine - INFO - Epoch(train) [221][45/63] lr: 5.8327e-03 eta: 7:18:29 time: 0.3722 data_time: 0.0167 memory: 6760 loss_prob: 2.8592 loss_thr: 0.5678 loss_db: 0.2149 loss: 3.6419 2022/08/26 00:30:43 - mmengine - INFO - Epoch(train) [221][50/63] lr: 5.8327e-03 eta: 7:18:23 time: 0.3924 data_time: 0.0218 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5949 loss_db: 0.2177 loss: 3.6714 2022/08/26 00:30:45 - mmengine - INFO - Epoch(train) [221][55/63] lr: 5.8327e-03 eta: 7:18:23 time: 0.4108 data_time: 0.0225 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6368 loss_db: 0.2339 loss: 3.7296 2022/08/26 00:30:47 - mmengine - INFO - Epoch(train) [221][60/63] lr: 5.8327e-03 eta: 7:18:17 time: 0.3947 data_time: 0.0243 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6621 loss_db: 0.2406 loss: 3.7612 2022/08/26 00:30:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:30:51 - mmengine - INFO - Epoch(train) [222][5/63] lr: 5.8273e-03 eta: 7:18:17 time: 0.5004 data_time: 0.1473 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6420 loss_db: 0.2350 loss: 3.7359 2022/08/26 00:30:53 - mmengine - INFO - Epoch(train) [222][10/63] lr: 5.8273e-03 eta: 7:18:12 time: 0.5530 data_time: 0.1628 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5994 loss_db: 0.2115 loss: 3.6710 2022/08/26 00:30:56 - mmengine - INFO - Epoch(train) [222][15/63] lr: 5.8273e-03 eta: 7:18:12 time: 0.4392 data_time: 0.0337 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6130 loss_db: 0.2171 loss: 3.6910 2022/08/26 00:30:58 - mmengine - INFO - Epoch(train) [222][20/63] lr: 5.8273e-03 eta: 7:18:07 time: 0.4141 data_time: 0.0277 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6137 loss_db: 0.2218 loss: 3.6963 2022/08/26 00:31:00 - mmengine - INFO - Epoch(train) [222][25/63] lr: 5.8273e-03 eta: 7:18:07 time: 0.3872 data_time: 0.0220 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6241 loss_db: 0.2094 loss: 3.6944 2022/08/26 00:31:01 - mmengine - INFO - Epoch(train) [222][30/63] lr: 5.8273e-03 eta: 7:18:00 time: 0.3746 data_time: 0.0151 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6549 loss_db: 0.2197 loss: 3.7351 2022/08/26 00:31:03 - mmengine - INFO - Epoch(train) [222][35/63] lr: 5.8273e-03 eta: 7:18:00 time: 0.3760 data_time: 0.0203 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6476 loss_db: 0.2190 loss: 3.7272 2022/08/26 00:31:06 - mmengine - INFO - Epoch(train) [222][40/63] lr: 5.8273e-03 eta: 7:17:59 time: 0.4926 data_time: 0.0434 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6170 loss_db: 0.2165 loss: 3.6951 2022/08/26 00:31:08 - mmengine - INFO - Epoch(train) [222][45/63] lr: 5.8273e-03 eta: 7:17:59 time: 0.4932 data_time: 0.0474 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6341 loss_db: 0.2268 loss: 3.7228 2022/08/26 00:31:10 - mmengine - INFO - Epoch(train) [222][50/63] lr: 5.8273e-03 eta: 7:17:53 time: 0.3790 data_time: 0.0309 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6445 loss_db: 0.2361 loss: 3.7433 2022/08/26 00:31:12 - mmengine - INFO - Epoch(train) [222][55/63] lr: 5.8273e-03 eta: 7:17:53 time: 0.3668 data_time: 0.0177 memory: 6760 loss_prob: 2.8633 loss_thr: 0.6277 loss_db: 0.2423 loss: 3.7332 2022/08/26 00:31:14 - mmengine - INFO - Epoch(train) [222][60/63] lr: 5.8273e-03 eta: 7:17:46 time: 0.3644 data_time: 0.0139 memory: 6760 loss_prob: 2.8631 loss_thr: 0.6366 loss_db: 0.2380 loss: 3.7377 2022/08/26 00:31:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:31:19 - mmengine - INFO - Epoch(train) [223][5/63] lr: 5.8219e-03 eta: 7:17:46 time: 0.5698 data_time: 0.1718 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6194 loss_db: 0.2176 loss: 3.6960 2022/08/26 00:31:21 - mmengine - INFO - Epoch(train) [223][10/63] lr: 5.8219e-03 eta: 7:17:39 time: 0.5375 data_time: 0.1776 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6506 loss_db: 0.2558 loss: 3.7659 2022/08/26 00:31:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:31:22 - mmengine - INFO - Epoch(train) [223][15/63] lr: 5.8219e-03 eta: 7:17:39 time: 0.3723 data_time: 0.0226 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6671 loss_db: 0.2574 loss: 3.7848 2022/08/26 00:31:24 - mmengine - INFO - Epoch(train) [223][20/63] lr: 5.8219e-03 eta: 7:17:33 time: 0.3717 data_time: 0.0159 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6295 loss_db: 0.2306 loss: 3.7182 2022/08/26 00:31:27 - mmengine - INFO - Epoch(train) [223][25/63] lr: 5.8219e-03 eta: 7:17:33 time: 0.4194 data_time: 0.0250 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6287 loss_db: 0.2359 loss: 3.7208 2022/08/26 00:31:28 - mmengine - INFO - Epoch(train) [223][30/63] lr: 5.8219e-03 eta: 7:17:28 time: 0.4042 data_time: 0.0230 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6338 loss_db: 0.2317 loss: 3.7227 2022/08/26 00:31:30 - mmengine - INFO - Epoch(train) [223][35/63] lr: 5.8219e-03 eta: 7:17:28 time: 0.3593 data_time: 0.0214 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6059 loss_db: 0.2198 loss: 3.6840 2022/08/26 00:31:32 - mmengine - INFO - Epoch(train) [223][40/63] lr: 5.8219e-03 eta: 7:17:21 time: 0.3807 data_time: 0.0298 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6184 loss_db: 0.2265 loss: 3.7030 2022/08/26 00:31:34 - mmengine - INFO - Epoch(train) [223][45/63] lr: 5.8219e-03 eta: 7:17:21 time: 0.3706 data_time: 0.0217 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6230 loss_db: 0.2363 loss: 3.7176 2022/08/26 00:31:37 - mmengine - INFO - Epoch(train) [223][50/63] lr: 5.8219e-03 eta: 7:17:18 time: 0.4388 data_time: 0.0455 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6018 loss_db: 0.2161 loss: 3.6761 2022/08/26 00:31:39 - mmengine - INFO - Epoch(train) [223][55/63] lr: 5.8219e-03 eta: 7:17:18 time: 0.4599 data_time: 0.0542 memory: 6760 loss_prob: 2.8578 loss_thr: 0.5894 loss_db: 0.2146 loss: 3.6618 2022/08/26 00:31:41 - mmengine - INFO - Epoch(train) [223][60/63] lr: 5.8219e-03 eta: 7:17:12 time: 0.3860 data_time: 0.0206 memory: 6760 loss_prob: 2.8574 loss_thr: 0.5814 loss_db: 0.2555 loss: 3.6943 2022/08/26 00:31:41 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:31:45 - mmengine - INFO - Epoch(train) [224][5/63] lr: 5.8166e-03 eta: 7:17:12 time: 0.5044 data_time: 0.1474 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6485 loss_db: 0.2694 loss: 3.7784 2022/08/26 00:31:47 - mmengine - INFO - Epoch(train) [224][10/63] lr: 5.8166e-03 eta: 7:17:05 time: 0.5326 data_time: 0.1450 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6371 loss_db: 0.2616 loss: 3.7595 2022/08/26 00:31:49 - mmengine - INFO - Epoch(train) [224][15/63] lr: 5.8166e-03 eta: 7:17:05 time: 0.3905 data_time: 0.0181 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6156 loss_db: 0.2339 loss: 3.7084 2022/08/26 00:31:51 - mmengine - INFO - Epoch(train) [224][20/63] lr: 5.8166e-03 eta: 7:16:59 time: 0.3759 data_time: 0.0199 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6230 loss_db: 0.2324 loss: 3.7134 2022/08/26 00:31:52 - mmengine - INFO - Epoch(train) [224][25/63] lr: 5.8166e-03 eta: 7:16:59 time: 0.3692 data_time: 0.0236 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6361 loss_db: 0.2453 loss: 3.7383 2022/08/26 00:31:55 - mmengine - INFO - Epoch(train) [224][30/63] lr: 5.8166e-03 eta: 7:16:53 time: 0.3987 data_time: 0.0226 memory: 6760 loss_prob: 2.8552 loss_thr: 0.6351 loss_db: 0.2504 loss: 3.7408 2022/08/26 00:31:57 - mmengine - INFO - Epoch(train) [224][35/63] lr: 5.8166e-03 eta: 7:16:53 time: 0.4873 data_time: 0.0732 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6231 loss_db: 0.2269 loss: 3.7068 2022/08/26 00:31:59 - mmengine - INFO - Epoch(train) [224][40/63] lr: 5.8166e-03 eta: 7:16:50 time: 0.4559 data_time: 0.0741 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6399 loss_db: 0.2176 loss: 3.7174 2022/08/26 00:32:01 - mmengine - INFO - Epoch(train) [224][45/63] lr: 5.8166e-03 eta: 7:16:50 time: 0.3728 data_time: 0.0197 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6414 loss_db: 0.2271 loss: 3.7290 2022/08/26 00:32:03 - mmengine - INFO - Epoch(train) [224][50/63] lr: 5.8166e-03 eta: 7:16:44 time: 0.3892 data_time: 0.0229 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6313 loss_db: 0.2275 loss: 3.7194 2022/08/26 00:32:06 - mmengine - INFO - Epoch(train) [224][55/63] lr: 5.8166e-03 eta: 7:16:44 time: 0.4851 data_time: 0.0296 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6167 loss_db: 0.2257 loss: 3.7032 2022/08/26 00:32:08 - mmengine - INFO - Epoch(train) [224][60/63] lr: 5.8166e-03 eta: 7:16:44 time: 0.5110 data_time: 0.0397 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6185 loss_db: 0.2296 loss: 3.7086 2022/08/26 00:32:09 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:32:13 - mmengine - INFO - Epoch(train) [225][5/63] lr: 5.8112e-03 eta: 7:16:44 time: 0.5216 data_time: 0.1683 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6559 loss_db: 0.2595 loss: 3.7741 2022/08/26 00:32:15 - mmengine - INFO - Epoch(train) [225][10/63] lr: 5.8112e-03 eta: 7:16:40 time: 0.6020 data_time: 0.1776 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6414 loss_db: 0.2430 loss: 3.7437 2022/08/26 00:32:17 - mmengine - INFO - Epoch(train) [225][15/63] lr: 5.8112e-03 eta: 7:16:40 time: 0.4333 data_time: 0.0271 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6080 loss_db: 0.2204 loss: 3.6889 2022/08/26 00:32:19 - mmengine - INFO - Epoch(train) [225][20/63] lr: 5.8112e-03 eta: 7:16:33 time: 0.3597 data_time: 0.0208 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6324 loss_db: 0.2698 loss: 3.7625 2022/08/26 00:32:21 - mmengine - INFO - Epoch(train) [225][25/63] lr: 5.8112e-03 eta: 7:16:33 time: 0.3658 data_time: 0.0206 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6318 loss_db: 0.2740 loss: 3.7638 2022/08/26 00:32:22 - mmengine - INFO - Epoch(train) [225][30/63] lr: 5.8112e-03 eta: 7:16:26 time: 0.3706 data_time: 0.0160 memory: 6760 loss_prob: 2.8547 loss_thr: 0.5887 loss_db: 0.2328 loss: 3.6762 2022/08/26 00:32:24 - mmengine - INFO - Epoch(train) [225][35/63] lr: 5.8112e-03 eta: 7:16:26 time: 0.3752 data_time: 0.0199 memory: 6760 loss_prob: 2.8553 loss_thr: 0.6109 loss_db: 0.2267 loss: 3.6929 2022/08/26 00:32:27 - mmengine - INFO - Epoch(train) [225][40/63] lr: 5.8112e-03 eta: 7:16:25 time: 0.4811 data_time: 0.0253 memory: 6760 loss_prob: 2.8557 loss_thr: 0.6136 loss_db: 0.2190 loss: 3.6884 2022/08/26 00:32:29 - mmengine - INFO - Epoch(train) [225][45/63] lr: 5.8112e-03 eta: 7:16:25 time: 0.4839 data_time: 0.0256 memory: 6760 loss_prob: 2.8555 loss_thr: 0.6174 loss_db: 0.2256 loss: 3.6986 2022/08/26 00:32:31 - mmengine - INFO - Epoch(train) [225][50/63] lr: 5.8112e-03 eta: 7:16:18 time: 0.3829 data_time: 0.0219 memory: 6760 loss_prob: 2.8562 loss_thr: 0.6399 loss_db: 0.2265 loss: 3.7227 2022/08/26 00:32:33 - mmengine - INFO - Epoch(train) [225][55/63] lr: 5.8112e-03 eta: 7:16:18 time: 0.3867 data_time: 0.0160 memory: 6760 loss_prob: 2.8565 loss_thr: 0.6370 loss_db: 0.2333 loss: 3.7268 2022/08/26 00:32:35 - mmengine - INFO - Epoch(train) [225][60/63] lr: 5.8112e-03 eta: 7:16:13 time: 0.3978 data_time: 0.0184 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6249 loss_db: 0.2493 loss: 3.7314 2022/08/26 00:32:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:32:40 - mmengine - INFO - Epoch(train) [226][5/63] lr: 5.8058e-03 eta: 7:16:13 time: 0.5564 data_time: 0.1771 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6416 loss_db: 0.2565 loss: 3.7565 2022/08/26 00:32:42 - mmengine - INFO - Epoch(train) [226][10/63] lr: 5.8058e-03 eta: 7:16:07 time: 0.5356 data_time: 0.1773 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6530 loss_db: 0.2314 loss: 3.7439 2022/08/26 00:32:43 - mmengine - INFO - Epoch(train) [226][15/63] lr: 5.8058e-03 eta: 7:16:07 time: 0.3745 data_time: 0.0184 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6350 loss_db: 0.2337 loss: 3.7277 2022/08/26 00:32:46 - mmengine - INFO - Epoch(train) [226][20/63] lr: 5.8058e-03 eta: 7:16:01 time: 0.3990 data_time: 0.0209 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6103 loss_db: 0.2236 loss: 3.6933 2022/08/26 00:32:47 - mmengine - INFO - Epoch(train) [226][25/63] lr: 5.8058e-03 eta: 7:16:01 time: 0.4009 data_time: 0.0270 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5845 loss_db: 0.2012 loss: 3.6461 2022/08/26 00:32:49 - mmengine - INFO - Epoch(train) [226][30/63] lr: 5.8058e-03 eta: 7:15:55 time: 0.3789 data_time: 0.0224 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5966 loss_db: 0.2027 loss: 3.6588 2022/08/26 00:32:51 - mmengine - INFO - Epoch(train) [226][35/63] lr: 5.8058e-03 eta: 7:15:55 time: 0.3699 data_time: 0.0161 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6243 loss_db: 0.2179 loss: 3.7004 2022/08/26 00:32:53 - mmengine - INFO - Epoch(train) [226][40/63] lr: 5.8058e-03 eta: 7:15:48 time: 0.3625 data_time: 0.0159 memory: 6760 loss_prob: 2.8756 loss_thr: 0.6735 loss_db: 0.2641 loss: 3.8132 2022/08/26 00:32:56 - mmengine - INFO - Epoch(train) [226][45/63] lr: 5.8058e-03 eta: 7:15:48 time: 0.4434 data_time: 0.0303 memory: 6760 loss_prob: 2.8755 loss_thr: 0.6737 loss_db: 0.2644 loss: 3.8136 2022/08/26 00:32:58 - mmengine - INFO - Epoch(train) [226][50/63] lr: 5.8058e-03 eta: 7:15:45 time: 0.4588 data_time: 0.0375 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6554 loss_db: 0.2445 loss: 3.7585 2022/08/26 00:32:59 - mmengine - INFO - Epoch(train) [226][55/63] lr: 5.8058e-03 eta: 7:15:45 time: 0.3766 data_time: 0.0265 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6513 loss_db: 0.2555 loss: 3.7645 2022/08/26 00:33:01 - mmengine - INFO - Epoch(train) [226][60/63] lr: 5.8058e-03 eta: 7:15:38 time: 0.3645 data_time: 0.0210 memory: 6760 loss_prob: 2.8555 loss_thr: 0.6440 loss_db: 0.2477 loss: 3.7472 2022/08/26 00:33:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:33:05 - mmengine - INFO - Epoch(train) [227][5/63] lr: 5.8005e-03 eta: 7:15:38 time: 0.4975 data_time: 0.1499 memory: 6760 loss_prob: 2.8558 loss_thr: 0.6183 loss_db: 0.2365 loss: 3.7106 2022/08/26 00:33:07 - mmengine - INFO - Epoch(train) [227][10/63] lr: 5.8005e-03 eta: 7:15:31 time: 0.5274 data_time: 0.1571 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6411 loss_db: 0.2391 loss: 3.7374 2022/08/26 00:33:09 - mmengine - INFO - Epoch(train) [227][15/63] lr: 5.8005e-03 eta: 7:15:31 time: 0.3922 data_time: 0.0251 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6270 loss_db: 0.2349 loss: 3.7194 2022/08/26 00:33:11 - mmengine - INFO - Epoch(train) [227][20/63] lr: 5.8005e-03 eta: 7:15:25 time: 0.3804 data_time: 0.0210 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6088 loss_db: 0.2279 loss: 3.6940 2022/08/26 00:33:13 - mmengine - INFO - Epoch(train) [227][25/63] lr: 5.8005e-03 eta: 7:15:25 time: 0.3797 data_time: 0.0219 memory: 6760 loss_prob: 2.8588 loss_thr: 0.5959 loss_db: 0.2203 loss: 3.6749 2022/08/26 00:33:16 - mmengine - INFO - Epoch(train) [227][30/63] lr: 5.8005e-03 eta: 7:15:23 time: 0.4622 data_time: 0.0319 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6024 loss_db: 0.2140 loss: 3.6762 2022/08/26 00:33:18 - mmengine - INFO - Epoch(train) [227][35/63] lr: 5.8005e-03 eta: 7:15:23 time: 0.4619 data_time: 0.0336 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5916 loss_db: 0.2063 loss: 3.6574 2022/08/26 00:33:20 - mmengine - INFO - Epoch(train) [227][40/63] lr: 5.8005e-03 eta: 7:15:16 time: 0.3720 data_time: 0.0242 memory: 6760 loss_prob: 2.8597 loss_thr: 0.5858 loss_db: 0.2133 loss: 3.6588 2022/08/26 00:33:21 - mmengine - INFO - Epoch(train) [227][45/63] lr: 5.8005e-03 eta: 7:15:16 time: 0.3631 data_time: 0.0213 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6094 loss_db: 0.2300 loss: 3.6993 2022/08/26 00:33:23 - mmengine - INFO - Epoch(train) [227][50/63] lr: 5.8005e-03 eta: 7:15:09 time: 0.3715 data_time: 0.0232 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6341 loss_db: 0.2266 loss: 3.7204 2022/08/26 00:33:26 - mmengine - INFO - Epoch(train) [227][55/63] lr: 5.8005e-03 eta: 7:15:09 time: 0.4632 data_time: 0.0228 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6430 loss_db: 0.2325 loss: 3.7351 2022/08/26 00:33:28 - mmengine - INFO - Epoch(train) [227][60/63] lr: 5.8005e-03 eta: 7:15:07 time: 0.4606 data_time: 0.0188 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6009 loss_db: 0.2269 loss: 3.6873 2022/08/26 00:33:29 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:33:32 - mmengine - INFO - Epoch(train) [228][5/63] lr: 5.7951e-03 eta: 7:15:07 time: 0.5210 data_time: 0.1651 memory: 6760 loss_prob: 2.8711 loss_thr: 0.6187 loss_db: 0.2221 loss: 3.7119 2022/08/26 00:33:34 - mmengine - INFO - Epoch(train) [228][10/63] lr: 5.7951e-03 eta: 7:15:00 time: 0.5246 data_time: 0.1652 memory: 6760 loss_prob: 2.8680 loss_thr: 0.6282 loss_db: 0.2342 loss: 3.7304 2022/08/26 00:33:37 - mmengine - INFO - Epoch(train) [228][15/63] lr: 5.7951e-03 eta: 7:15:00 time: 0.4156 data_time: 0.0191 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6262 loss_db: 0.2395 loss: 3.7259 2022/08/26 00:33:39 - mmengine - INFO - Epoch(train) [228][20/63] lr: 5.7951e-03 eta: 7:14:55 time: 0.4217 data_time: 0.0253 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6175 loss_db: 0.2367 loss: 3.7140 2022/08/26 00:33:40 - mmengine - INFO - Epoch(train) [228][25/63] lr: 5.7951e-03 eta: 7:14:55 time: 0.3793 data_time: 0.0254 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6255 loss_db: 0.2296 loss: 3.7153 2022/08/26 00:33:42 - mmengine - INFO - Epoch(train) [228][30/63] lr: 5.7951e-03 eta: 7:14:49 time: 0.3757 data_time: 0.0206 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6466 loss_db: 0.2417 loss: 3.7474 2022/08/26 00:33:44 - mmengine - INFO - Epoch(train) [228][35/63] lr: 5.7951e-03 eta: 7:14:49 time: 0.3696 data_time: 0.0214 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6190 loss_db: 0.2388 loss: 3.7152 2022/08/26 00:33:47 - mmengine - INFO - Epoch(train) [228][40/63] lr: 5.7951e-03 eta: 7:14:46 time: 0.4666 data_time: 0.0184 memory: 6760 loss_prob: 2.8573 loss_thr: 0.5965 loss_db: 0.2132 loss: 3.6670 2022/08/26 00:33:49 - mmengine - INFO - Epoch(train) [228][45/63] lr: 5.7951e-03 eta: 7:14:46 time: 0.4823 data_time: 0.0182 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6303 loss_db: 0.2115 loss: 3.6997 2022/08/26 00:33:51 - mmengine - INFO - Epoch(train) [228][50/63] lr: 5.7951e-03 eta: 7:14:41 time: 0.3949 data_time: 0.0286 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6582 loss_db: 0.2337 loss: 3.7506 2022/08/26 00:33:53 - mmengine - INFO - Epoch(train) [228][55/63] lr: 5.7951e-03 eta: 7:14:41 time: 0.3824 data_time: 0.0241 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6287 loss_db: 0.2263 loss: 3.7142 2022/08/26 00:33:55 - mmengine - INFO - Epoch(train) [228][60/63] lr: 5.7951e-03 eta: 7:14:35 time: 0.3835 data_time: 0.0157 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6067 loss_db: 0.2126 loss: 3.6792 2022/08/26 00:33:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:33:59 - mmengine - INFO - Epoch(train) [229][5/63] lr: 5.7897e-03 eta: 7:14:35 time: 0.5215 data_time: 0.1585 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6493 loss_db: 0.2401 loss: 3.7494 2022/08/26 00:34:01 - mmengine - INFO - Epoch(train) [229][10/63] lr: 5.7897e-03 eta: 7:14:28 time: 0.5257 data_time: 0.1647 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6316 loss_db: 0.2393 loss: 3.7308 2022/08/26 00:34:03 - mmengine - INFO - Epoch(train) [229][15/63] lr: 5.7897e-03 eta: 7:14:28 time: 0.3841 data_time: 0.0215 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6284 loss_db: 0.2217 loss: 3.7095 2022/08/26 00:34:05 - mmengine - INFO - Epoch(train) [229][20/63] lr: 5.7897e-03 eta: 7:14:23 time: 0.4100 data_time: 0.0148 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6352 loss_db: 0.2237 loss: 3.7188 2022/08/26 00:34:07 - mmengine - INFO - Epoch(train) [229][25/63] lr: 5.7897e-03 eta: 7:14:23 time: 0.4318 data_time: 0.0287 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6293 loss_db: 0.2349 loss: 3.7247 2022/08/26 00:34:09 - mmengine - INFO - Epoch(train) [229][30/63] lr: 5.7897e-03 eta: 7:14:17 time: 0.3916 data_time: 0.0225 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6230 loss_db: 0.2233 loss: 3.7069 2022/08/26 00:34:11 - mmengine - INFO - Epoch(train) [229][35/63] lr: 5.7897e-03 eta: 7:14:17 time: 0.3721 data_time: 0.0177 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6510 loss_db: 0.2309 loss: 3.7414 2022/08/26 00:34:13 - mmengine - INFO - Epoch(train) [229][40/63] lr: 5.7897e-03 eta: 7:14:12 time: 0.3889 data_time: 0.0254 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6637 loss_db: 0.2431 loss: 3.7664 2022/08/26 00:34:16 - mmengine - INFO - Epoch(train) [229][45/63] lr: 5.7897e-03 eta: 7:14:12 time: 0.4608 data_time: 0.0218 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6417 loss_db: 0.2272 loss: 3.7302 2022/08/26 00:34:17 - mmengine - INFO - Epoch(train) [229][50/63] lr: 5.7897e-03 eta: 7:14:09 time: 0.4527 data_time: 0.0253 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6224 loss_db: 0.2282 loss: 3.7118 2022/08/26 00:34:19 - mmengine - INFO - Epoch(train) [229][55/63] lr: 5.7897e-03 eta: 7:14:09 time: 0.3747 data_time: 0.0225 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6161 loss_db: 0.2340 loss: 3.7121 2022/08/26 00:34:21 - mmengine - INFO - Epoch(train) [229][60/63] lr: 5.7897e-03 eta: 7:14:02 time: 0.3723 data_time: 0.0161 memory: 6760 loss_prob: 2.8648 loss_thr: 0.6158 loss_db: 0.2187 loss: 3.6993 2022/08/26 00:34:22 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:34:26 - mmengine - INFO - Epoch(train) [230][5/63] lr: 5.7844e-03 eta: 7:14:02 time: 0.5423 data_time: 0.1588 memory: 6760 loss_prob: 2.8623 loss_thr: 0.5966 loss_db: 0.2150 loss: 3.6739 2022/08/26 00:34:28 - mmengine - INFO - Epoch(train) [230][10/63] lr: 5.7844e-03 eta: 7:13:57 time: 0.5766 data_time: 0.1623 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6328 loss_db: 0.2249 loss: 3.7187 2022/08/26 00:34:30 - mmengine - INFO - Epoch(train) [230][15/63] lr: 5.7844e-03 eta: 7:13:57 time: 0.3872 data_time: 0.0194 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6156 loss_db: 0.2148 loss: 3.6900 2022/08/26 00:34:32 - mmengine - INFO - Epoch(train) [230][20/63] lr: 5.7844e-03 eta: 7:13:51 time: 0.3725 data_time: 0.0159 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6264 loss_db: 0.2193 loss: 3.7052 2022/08/26 00:34:34 - mmengine - INFO - Epoch(train) [230][25/63] lr: 5.7844e-03 eta: 7:13:51 time: 0.3878 data_time: 0.0301 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6540 loss_db: 0.2343 loss: 3.7485 2022/08/26 00:34:36 - mmengine - INFO - Epoch(train) [230][30/63] lr: 5.7844e-03 eta: 7:13:48 time: 0.4553 data_time: 0.0346 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6685 loss_db: 0.2533 loss: 3.7821 2022/08/26 00:34:38 - mmengine - INFO - Epoch(train) [230][35/63] lr: 5.7844e-03 eta: 7:13:48 time: 0.4464 data_time: 0.0339 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6200 loss_db: 0.2308 loss: 3.7108 2022/08/26 00:34:40 - mmengine - INFO - Epoch(train) [230][40/63] lr: 5.7844e-03 eta: 7:13:42 time: 0.3746 data_time: 0.0222 memory: 6760 loss_prob: 2.8597 loss_thr: 0.5865 loss_db: 0.2071 loss: 3.6533 2022/08/26 00:34:42 - mmengine - INFO - Epoch(train) [230][45/63] lr: 5.7844e-03 eta: 7:13:42 time: 0.3736 data_time: 0.0160 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6244 loss_db: 0.2211 loss: 3.7049 2022/08/26 00:34:44 - mmengine - INFO - Epoch(train) [230][50/63] lr: 5.7844e-03 eta: 7:13:38 time: 0.4440 data_time: 0.0671 memory: 6760 loss_prob: 2.8592 loss_thr: 0.5993 loss_db: 0.2182 loss: 3.6767 2022/08/26 00:34:46 - mmengine - INFO - Epoch(train) [230][55/63] lr: 5.7844e-03 eta: 7:13:38 time: 0.4516 data_time: 0.0618 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5884 loss_db: 0.2210 loss: 3.6690 2022/08/26 00:34:48 - mmengine - INFO - Epoch(train) [230][60/63] lr: 5.7844e-03 eta: 7:13:32 time: 0.3903 data_time: 0.0168 memory: 6760 loss_prob: 2.8637 loss_thr: 0.6348 loss_db: 0.2521 loss: 3.7506 2022/08/26 00:34:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:34:53 - mmengine - INFO - Epoch(train) [231][5/63] lr: 5.7790e-03 eta: 7:13:32 time: 0.5018 data_time: 0.1641 memory: 6760 loss_prob: 2.8583 loss_thr: 0.5999 loss_db: 0.2261 loss: 3.6843 2022/08/26 00:34:55 - mmengine - INFO - Epoch(train) [231][10/63] lr: 5.7790e-03 eta: 7:13:26 time: 0.5275 data_time: 0.1767 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6312 loss_db: 0.2384 loss: 3.7291 2022/08/26 00:34:57 - mmengine - INFO - Epoch(train) [231][15/63] lr: 5.7790e-03 eta: 7:13:26 time: 0.4146 data_time: 0.0236 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6476 loss_db: 0.2288 loss: 3.7361 2022/08/26 00:34:59 - mmengine - INFO - Epoch(train) [231][20/63] lr: 5.7790e-03 eta: 7:13:21 time: 0.4094 data_time: 0.0164 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6310 loss_db: 0.2166 loss: 3.7055 2022/08/26 00:35:01 - mmengine - INFO - Epoch(train) [231][25/63] lr: 5.7790e-03 eta: 7:13:21 time: 0.3740 data_time: 0.0222 memory: 6760 loss_prob: 2.8578 loss_thr: 0.5990 loss_db: 0.2076 loss: 3.6645 2022/08/26 00:35:02 - mmengine - INFO - Epoch(train) [231][30/63] lr: 5.7790e-03 eta: 7:13:14 time: 0.3718 data_time: 0.0191 memory: 6760 loss_prob: 2.8582 loss_thr: 0.5924 loss_db: 0.2139 loss: 3.6645 2022/08/26 00:35:04 - mmengine - INFO - Epoch(train) [231][35/63] lr: 5.7790e-03 eta: 7:13:14 time: 0.3766 data_time: 0.0166 memory: 6760 loss_prob: 2.8597 loss_thr: 0.5731 loss_db: 0.1993 loss: 3.6322 2022/08/26 00:35:08 - mmengine - INFO - Epoch(train) [231][40/63] lr: 5.7790e-03 eta: 7:13:14 time: 0.5308 data_time: 0.0511 memory: 6760 loss_prob: 2.8600 loss_thr: 0.5819 loss_db: 0.1936 loss: 3.6355 2022/08/26 00:35:10 - mmengine - INFO - Epoch(train) [231][45/63] lr: 5.7790e-03 eta: 7:13:14 time: 0.5642 data_time: 0.0551 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6230 loss_db: 0.2092 loss: 3.6915 2022/08/26 00:35:12 - mmengine - INFO - Epoch(train) [231][50/63] lr: 5.7790e-03 eta: 7:13:10 time: 0.4225 data_time: 0.0260 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6267 loss_db: 0.2222 loss: 3.7082 2022/08/26 00:35:14 - mmengine - INFO - Epoch(train) [231][55/63] lr: 5.7790e-03 eta: 7:13:10 time: 0.3703 data_time: 0.0205 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5976 loss_db: 0.2171 loss: 3.6749 2022/08/26 00:35:16 - mmengine - INFO - Epoch(train) [231][60/63] lr: 5.7790e-03 eta: 7:13:04 time: 0.3876 data_time: 0.0255 memory: 6760 loss_prob: 2.8606 loss_thr: 0.5766 loss_db: 0.2077 loss: 3.6449 2022/08/26 00:35:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:35:20 - mmengine - INFO - Epoch(train) [232][5/63] lr: 5.7736e-03 eta: 7:13:04 time: 0.5645 data_time: 0.1925 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5994 loss_db: 0.2184 loss: 3.6774 2022/08/26 00:35:22 - mmengine - INFO - Epoch(train) [232][10/63] lr: 5.7736e-03 eta: 7:12:59 time: 0.5574 data_time: 0.1833 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6014 loss_db: 0.2223 loss: 3.6835 2022/08/26 00:35:24 - mmengine - INFO - Epoch(train) [232][15/63] lr: 5.7736e-03 eta: 7:12:59 time: 0.3821 data_time: 0.0167 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6248 loss_db: 0.2162 loss: 3.7025 2022/08/26 00:35:26 - mmengine - INFO - Epoch(train) [232][20/63] lr: 5.7736e-03 eta: 7:12:53 time: 0.3875 data_time: 0.0169 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6278 loss_db: 0.2089 loss: 3.6990 2022/08/26 00:35:28 - mmengine - INFO - Epoch(train) [232][25/63] lr: 5.7736e-03 eta: 7:12:53 time: 0.4019 data_time: 0.0258 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6283 loss_db: 0.2367 loss: 3.7273 2022/08/26 00:35:31 - mmengine - INFO - Epoch(train) [232][30/63] lr: 5.7736e-03 eta: 7:12:49 time: 0.4414 data_time: 0.0261 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6273 loss_db: 0.2319 loss: 3.7221 2022/08/26 00:35:33 - mmengine - INFO - Epoch(train) [232][35/63] lr: 5.7736e-03 eta: 7:12:49 time: 0.4251 data_time: 0.0236 memory: 6760 loss_prob: 2.8609 loss_thr: 0.5966 loss_db: 0.2106 loss: 3.6681 2022/08/26 00:35:34 - mmengine - INFO - Epoch(train) [232][40/63] lr: 5.7736e-03 eta: 7:12:43 time: 0.3702 data_time: 0.0174 memory: 6760 loss_prob: 2.8592 loss_thr: 0.5920 loss_db: 0.2293 loss: 3.6805 2022/08/26 00:35:37 - mmengine - INFO - Epoch(train) [232][45/63] lr: 5.7736e-03 eta: 7:12:43 time: 0.4444 data_time: 0.0386 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6458 loss_db: 0.2392 loss: 3.7448 2022/08/26 00:35:39 - mmengine - INFO - Epoch(train) [232][50/63] lr: 5.7736e-03 eta: 7:12:40 time: 0.4539 data_time: 0.0488 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6464 loss_db: 0.2364 loss: 3.7417 2022/08/26 00:35:41 - mmengine - INFO - Epoch(train) [232][55/63] lr: 5.7736e-03 eta: 7:12:40 time: 0.3785 data_time: 0.0241 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5984 loss_db: 0.2146 loss: 3.6723 2022/08/26 00:35:43 - mmengine - INFO - Epoch(train) [232][60/63] lr: 5.7736e-03 eta: 7:12:33 time: 0.3644 data_time: 0.0172 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5932 loss_db: 0.2030 loss: 3.6567 2022/08/26 00:35:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:35:47 - mmengine - INFO - Epoch(train) [233][5/63] lr: 5.7683e-03 eta: 7:12:33 time: 0.5129 data_time: 0.1494 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6247 loss_db: 0.2268 loss: 3.7113 2022/08/26 00:35:49 - mmengine - INFO - Epoch(train) [233][10/63] lr: 5.7683e-03 eta: 7:12:27 time: 0.5408 data_time: 0.1640 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6365 loss_db: 0.2498 loss: 3.7452 2022/08/26 00:35:51 - mmengine - INFO - Epoch(train) [233][15/63] lr: 5.7683e-03 eta: 7:12:27 time: 0.3696 data_time: 0.0245 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6352 loss_db: 0.2480 loss: 3.7419 2022/08/26 00:35:53 - mmengine - INFO - Epoch(train) [233][20/63] lr: 5.7683e-03 eta: 7:12:20 time: 0.3692 data_time: 0.0148 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6180 loss_db: 0.2157 loss: 3.6927 2022/08/26 00:35:55 - mmengine - INFO - Epoch(train) [233][25/63] lr: 5.7683e-03 eta: 7:12:20 time: 0.3826 data_time: 0.0171 memory: 6760 loss_prob: 2.8582 loss_thr: 0.5987 loss_db: 0.2018 loss: 3.6586 2022/08/26 00:35:58 - mmengine - INFO - Epoch(train) [233][30/63] lr: 5.7683e-03 eta: 7:12:20 time: 0.5238 data_time: 0.0156 memory: 6760 loss_prob: 2.8574 loss_thr: 0.5762 loss_db: 0.2109 loss: 3.6445 2022/08/26 00:36:00 - mmengine - INFO - Epoch(train) [233][35/63] lr: 5.7683e-03 eta: 7:12:20 time: 0.5360 data_time: 0.0316 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6216 loss_db: 0.2234 loss: 3.7041 2022/08/26 00:36:02 - mmengine - INFO - Epoch(train) [233][40/63] lr: 5.7683e-03 eta: 7:12:14 time: 0.3927 data_time: 0.0276 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6677 loss_db: 0.2410 loss: 3.7688 2022/08/26 00:36:04 - mmengine - INFO - Epoch(train) [233][45/63] lr: 5.7683e-03 eta: 7:12:14 time: 0.3763 data_time: 0.0159 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6100 loss_db: 0.2251 loss: 3.6940 2022/08/26 00:36:06 - mmengine - INFO - Epoch(train) [233][50/63] lr: 5.7683e-03 eta: 7:12:09 time: 0.4018 data_time: 0.0250 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5630 loss_db: 0.2005 loss: 3.6228 2022/08/26 00:36:08 - mmengine - INFO - Epoch(train) [233][55/63] lr: 5.7683e-03 eta: 7:12:09 time: 0.3977 data_time: 0.0202 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6032 loss_db: 0.2119 loss: 3.6751 2022/08/26 00:36:10 - mmengine - INFO - Epoch(train) [233][60/63] lr: 5.7683e-03 eta: 7:12:05 time: 0.4203 data_time: 0.0161 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6405 loss_db: 0.2225 loss: 3.7230 2022/08/26 00:36:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:36:14 - mmengine - INFO - Epoch(train) [234][5/63] lr: 5.7629e-03 eta: 7:12:05 time: 0.5638 data_time: 0.1582 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6421 loss_db: 0.2593 loss: 3.7613 2022/08/26 00:36:17 - mmengine - INFO - Epoch(train) [234][10/63] lr: 5.7629e-03 eta: 7:12:00 time: 0.5610 data_time: 0.1746 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6103 loss_db: 0.2553 loss: 3.7254 2022/08/26 00:36:19 - mmengine - INFO - Epoch(train) [234][15/63] lr: 5.7629e-03 eta: 7:12:00 time: 0.4074 data_time: 0.0292 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5705 loss_db: 0.2034 loss: 3.6330 2022/08/26 00:36:20 - mmengine - INFO - Epoch(train) [234][20/63] lr: 5.7629e-03 eta: 7:11:53 time: 0.3666 data_time: 0.0136 memory: 6760 loss_prob: 2.8587 loss_thr: 0.5862 loss_db: 0.2099 loss: 3.6548 2022/08/26 00:36:22 - mmengine - INFO - Epoch(train) [234][25/63] lr: 5.7629e-03 eta: 7:11:53 time: 0.3733 data_time: 0.0301 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6458 loss_db: 0.2445 loss: 3.7507 2022/08/26 00:36:24 - mmengine - INFO - Epoch(train) [234][30/63] lr: 5.7629e-03 eta: 7:11:46 time: 0.3673 data_time: 0.0247 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6588 loss_db: 0.2519 loss: 3.7703 2022/08/26 00:36:28 - mmengine - INFO - Epoch(train) [234][35/63] lr: 5.7629e-03 eta: 7:11:46 time: 0.5748 data_time: 0.0788 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6195 loss_db: 0.2312 loss: 3.7097 2022/08/26 00:36:30 - mmengine - INFO - Epoch(train) [234][40/63] lr: 5.7629e-03 eta: 7:11:48 time: 0.5774 data_time: 0.0851 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6128 loss_db: 0.2219 loss: 3.6952 2022/08/26 00:36:32 - mmengine - INFO - Epoch(train) [234][45/63] lr: 5.7629e-03 eta: 7:11:48 time: 0.3613 data_time: 0.0199 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6361 loss_db: 0.2293 loss: 3.7255 2022/08/26 00:36:34 - mmengine - INFO - Epoch(train) [234][50/63] lr: 5.7629e-03 eta: 7:11:42 time: 0.3730 data_time: 0.0263 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6080 loss_db: 0.2268 loss: 3.6930 2022/08/26 00:36:36 - mmengine - INFO - Epoch(train) [234][55/63] lr: 5.7629e-03 eta: 7:11:42 time: 0.4008 data_time: 0.0269 memory: 6760 loss_prob: 2.8576 loss_thr: 0.5763 loss_db: 0.2162 loss: 3.6500 2022/08/26 00:36:38 - mmengine - INFO - Epoch(train) [234][60/63] lr: 5.7629e-03 eta: 7:11:36 time: 0.4000 data_time: 0.0201 memory: 6760 loss_prob: 2.8587 loss_thr: 0.5939 loss_db: 0.2058 loss: 3.6583 2022/08/26 00:36:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:36:42 - mmengine - INFO - Epoch(train) [235][5/63] lr: 5.7575e-03 eta: 7:11:36 time: 0.5186 data_time: 0.1535 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6120 loss_db: 0.2199 loss: 3.6893 2022/08/26 00:36:44 - mmengine - INFO - Epoch(train) [235][10/63] lr: 5.7575e-03 eta: 7:11:30 time: 0.5400 data_time: 0.1683 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6244 loss_db: 0.2156 loss: 3.6989 2022/08/26 00:36:46 - mmengine - INFO - Epoch(train) [235][15/63] lr: 5.7575e-03 eta: 7:11:30 time: 0.3983 data_time: 0.0258 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6051 loss_db: 0.2056 loss: 3.6707 2022/08/26 00:36:48 - mmengine - INFO - Epoch(train) [235][20/63] lr: 5.7575e-03 eta: 7:11:25 time: 0.3906 data_time: 0.0176 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6096 loss_db: 0.2221 loss: 3.6919 2022/08/26 00:36:50 - mmengine - INFO - Epoch(train) [235][25/63] lr: 5.7575e-03 eta: 7:11:25 time: 0.3853 data_time: 0.0251 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6276 loss_db: 0.2177 loss: 3.7073 2022/08/26 00:36:52 - mmengine - INFO - Epoch(train) [235][30/63] lr: 5.7575e-03 eta: 7:11:19 time: 0.3843 data_time: 0.0196 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6131 loss_db: 0.2117 loss: 3.6875 2022/08/26 00:36:54 - mmengine - INFO - Epoch(train) [235][35/63] lr: 5.7575e-03 eta: 7:11:19 time: 0.3789 data_time: 0.0171 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5865 loss_db: 0.2088 loss: 3.6566 2022/08/26 00:36:57 - mmengine - INFO - Epoch(train) [235][40/63] lr: 5.7575e-03 eta: 7:11:20 time: 0.5485 data_time: 0.0288 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5922 loss_db: 0.2100 loss: 3.6634 2022/08/26 00:36:59 - mmengine - INFO - Epoch(train) [235][45/63] lr: 5.7575e-03 eta: 7:11:20 time: 0.5522 data_time: 0.0287 memory: 6760 loss_prob: 2.8620 loss_thr: 0.5941 loss_db: 0.2151 loss: 3.6713 2022/08/26 00:37:01 - mmengine - INFO - Epoch(train) [235][50/63] lr: 5.7575e-03 eta: 7:11:13 time: 0.3766 data_time: 0.0231 memory: 6760 loss_prob: 2.8648 loss_thr: 0.6044 loss_db: 0.2192 loss: 3.6884 2022/08/26 00:37:03 - mmengine - INFO - Epoch(train) [235][55/63] lr: 5.7575e-03 eta: 7:11:13 time: 0.3700 data_time: 0.0194 memory: 6760 loss_prob: 2.8648 loss_thr: 0.6071 loss_db: 0.2225 loss: 3.6944 2022/08/26 00:37:05 - mmengine - INFO - Epoch(train) [235][60/63] lr: 5.7575e-03 eta: 7:11:07 time: 0.3685 data_time: 0.0164 memory: 6760 loss_prob: 2.8629 loss_thr: 0.5968 loss_db: 0.2125 loss: 3.6722 2022/08/26 00:37:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:37:10 - mmengine - INFO - Epoch(train) [236][5/63] lr: 5.7522e-03 eta: 7:11:07 time: 0.5870 data_time: 0.1881 memory: 6760 loss_prob: 2.8631 loss_thr: 0.5972 loss_db: 0.2098 loss: 3.6701 2022/08/26 00:37:12 - mmengine - INFO - Epoch(train) [236][10/63] lr: 5.7522e-03 eta: 7:11:02 time: 0.5652 data_time: 0.1943 memory: 6760 loss_prob: 2.8623 loss_thr: 0.5959 loss_db: 0.2100 loss: 3.6682 2022/08/26 00:37:14 - mmengine - INFO - Epoch(train) [236][15/63] lr: 5.7522e-03 eta: 7:11:02 time: 0.3849 data_time: 0.0246 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6314 loss_db: 0.2226 loss: 3.7159 2022/08/26 00:37:16 - mmengine - INFO - Epoch(train) [236][20/63] lr: 5.7522e-03 eta: 7:10:57 time: 0.4051 data_time: 0.0198 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6374 loss_db: 0.2465 loss: 3.7448 2022/08/26 00:37:18 - mmengine - INFO - Epoch(train) [236][25/63] lr: 5.7522e-03 eta: 7:10:57 time: 0.4240 data_time: 0.0340 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6139 loss_db: 0.2560 loss: 3.7294 2022/08/26 00:37:20 - mmengine - INFO - Epoch(train) [236][30/63] lr: 5.7522e-03 eta: 7:10:51 time: 0.4020 data_time: 0.0238 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6176 loss_db: 0.2306 loss: 3.7066 2022/08/26 00:37:22 - mmengine - INFO - Epoch(train) [236][35/63] lr: 5.7522e-03 eta: 7:10:51 time: 0.3937 data_time: 0.0161 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6530 loss_db: 0.2402 loss: 3.7514 2022/08/26 00:37:24 - mmengine - INFO - Epoch(train) [236][40/63] lr: 5.7522e-03 eta: 7:10:45 time: 0.3803 data_time: 0.0185 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6362 loss_db: 0.2395 loss: 3.7361 2022/08/26 00:37:27 - mmengine - INFO - Epoch(train) [236][45/63] lr: 5.7522e-03 eta: 7:10:45 time: 0.4860 data_time: 0.0196 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6348 loss_db: 0.2285 loss: 3.7261 2022/08/26 00:37:29 - mmengine - INFO - Epoch(train) [236][50/63] lr: 5.7522e-03 eta: 7:10:44 time: 0.5095 data_time: 0.0366 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6359 loss_db: 0.2260 loss: 3.7236 2022/08/26 00:37:31 - mmengine - INFO - Epoch(train) [236][55/63] lr: 5.7522e-03 eta: 7:10:44 time: 0.3951 data_time: 0.0299 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6276 loss_db: 0.2266 loss: 3.7138 2022/08/26 00:37:33 - mmengine - INFO - Epoch(train) [236][60/63] lr: 5.7522e-03 eta: 7:10:38 time: 0.3795 data_time: 0.0154 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6092 loss_db: 0.2144 loss: 3.6819 2022/08/26 00:37:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:37:38 - mmengine - INFO - Epoch(train) [237][5/63] lr: 5.7468e-03 eta: 7:10:38 time: 0.5595 data_time: 0.1843 memory: 6760 loss_prob: 2.8568 loss_thr: 0.5807 loss_db: 0.2145 loss: 3.6519 2022/08/26 00:37:40 - mmengine - INFO - Epoch(train) [237][10/63] lr: 5.7468e-03 eta: 7:10:34 time: 0.5745 data_time: 0.1971 memory: 6760 loss_prob: 2.8572 loss_thr: 0.6229 loss_db: 0.2358 loss: 3.7159 2022/08/26 00:37:41 - mmengine - INFO - Epoch(train) [237][15/63] lr: 5.7468e-03 eta: 7:10:34 time: 0.3835 data_time: 0.0243 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6218 loss_db: 0.2326 loss: 3.7113 2022/08/26 00:37:43 - mmengine - INFO - Epoch(train) [237][20/63] lr: 5.7468e-03 eta: 7:10:28 time: 0.3805 data_time: 0.0189 memory: 6760 loss_prob: 2.8572 loss_thr: 0.5798 loss_db: 0.2081 loss: 3.6451 2022/08/26 00:37:46 - mmengine - INFO - Epoch(train) [237][25/63] lr: 5.7468e-03 eta: 7:10:28 time: 0.4534 data_time: 0.0170 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6046 loss_db: 0.2119 loss: 3.6766 2022/08/26 00:37:48 - mmengine - INFO - Epoch(train) [237][30/63] lr: 5.7468e-03 eta: 7:10:25 time: 0.4687 data_time: 0.0198 memory: 6760 loss_prob: 2.8631 loss_thr: 0.6604 loss_db: 0.2497 loss: 3.7731 2022/08/26 00:37:50 - mmengine - INFO - Epoch(train) [237][35/63] lr: 5.7468e-03 eta: 7:10:25 time: 0.4087 data_time: 0.0330 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6588 loss_db: 0.2629 loss: 3.7839 2022/08/26 00:37:52 - mmengine - INFO - Epoch(train) [237][40/63] lr: 5.7468e-03 eta: 7:10:19 time: 0.3848 data_time: 0.0228 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6352 loss_db: 0.2566 loss: 3.7505 2022/08/26 00:37:54 - mmengine - INFO - Epoch(train) [237][45/63] lr: 5.7468e-03 eta: 7:10:19 time: 0.3703 data_time: 0.0168 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6371 loss_db: 0.2454 loss: 3.7405 2022/08/26 00:37:56 - mmengine - INFO - Epoch(train) [237][50/63] lr: 5.7468e-03 eta: 7:10:16 time: 0.4455 data_time: 0.0216 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6511 loss_db: 0.2378 loss: 3.7483 2022/08/26 00:37:59 - mmengine - INFO - Epoch(train) [237][55/63] lr: 5.7468e-03 eta: 7:10:16 time: 0.4812 data_time: 0.0198 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6538 loss_db: 0.2552 loss: 3.7685 2022/08/26 00:38:01 - mmengine - INFO - Epoch(train) [237][60/63] lr: 5.7468e-03 eta: 7:10:11 time: 0.4220 data_time: 0.0269 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6298 loss_db: 0.2341 loss: 3.7236 2022/08/26 00:38:02 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:38:05 - mmengine - INFO - Epoch(train) [238][5/63] lr: 5.7414e-03 eta: 7:10:11 time: 0.5124 data_time: 0.1613 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6187 loss_db: 0.2381 loss: 3.7153 2022/08/26 00:38:07 - mmengine - INFO - Epoch(train) [238][10/63] lr: 5.7414e-03 eta: 7:10:05 time: 0.5318 data_time: 0.1689 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6165 loss_db: 0.2529 loss: 3.7261 2022/08/26 00:38:09 - mmengine - INFO - Epoch(train) [238][15/63] lr: 5.7414e-03 eta: 7:10:05 time: 0.3873 data_time: 0.0197 memory: 6760 loss_prob: 2.8568 loss_thr: 0.6095 loss_db: 0.2298 loss: 3.6961 2022/08/26 00:38:11 - mmengine - INFO - Epoch(train) [238][20/63] lr: 5.7414e-03 eta: 7:09:59 time: 0.3864 data_time: 0.0197 memory: 6760 loss_prob: 2.8578 loss_thr: 0.6314 loss_db: 0.2233 loss: 3.7126 2022/08/26 00:38:13 - mmengine - INFO - Epoch(train) [238][25/63] lr: 5.7414e-03 eta: 7:09:59 time: 0.3857 data_time: 0.0233 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6353 loss_db: 0.2292 loss: 3.7237 2022/08/26 00:38:15 - mmengine - INFO - Epoch(train) [238][30/63] lr: 5.7414e-03 eta: 7:09:53 time: 0.3827 data_time: 0.0202 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6293 loss_db: 0.2233 loss: 3.7140 2022/08/26 00:38:22 - mmengine - INFO - Epoch(train) [238][35/63] lr: 5.7414e-03 eta: 7:09:53 time: 0.9277 data_time: 0.0465 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6377 loss_db: 0.2249 loss: 3.7243 2022/08/26 00:38:24 - mmengine - INFO - Epoch(train) [238][40/63] lr: 5.7414e-03 eta: 7:10:09 time: 0.9264 data_time: 0.0494 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6504 loss_db: 0.2386 loss: 3.7497 2022/08/26 00:38:26 - mmengine - INFO - Epoch(train) [238][45/63] lr: 5.7414e-03 eta: 7:10:09 time: 0.3691 data_time: 0.0252 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6428 loss_db: 0.2293 loss: 3.7333 2022/08/26 00:38:27 - mmengine - INFO - Epoch(train) [238][50/63] lr: 5.7414e-03 eta: 7:10:03 time: 0.3702 data_time: 0.0242 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6041 loss_db: 0.2090 loss: 3.6748 2022/08/26 00:38:29 - mmengine - INFO - Epoch(train) [238][55/63] lr: 5.7414e-03 eta: 7:10:03 time: 0.3752 data_time: 0.0181 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6076 loss_db: 0.2123 loss: 3.6803 2022/08/26 00:38:31 - mmengine - INFO - Epoch(train) [238][60/63] lr: 5.7414e-03 eta: 7:09:56 time: 0.3628 data_time: 0.0160 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6320 loss_db: 0.2184 loss: 3.7098 2022/08/26 00:38:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:38:36 - mmengine - INFO - Epoch(train) [239][5/63] lr: 5.7361e-03 eta: 7:09:56 time: 0.5864 data_time: 0.1488 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6131 loss_db: 0.2259 loss: 3.7001 2022/08/26 00:38:37 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:38:38 - mmengine - INFO - Epoch(train) [239][10/63] lr: 5.7361e-03 eta: 7:09:53 time: 0.6197 data_time: 0.1687 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6253 loss_db: 0.2156 loss: 3.7035 2022/08/26 00:38:40 - mmengine - INFO - Epoch(train) [239][15/63] lr: 5.7361e-03 eta: 7:09:53 time: 0.3993 data_time: 0.0290 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6086 loss_db: 0.2205 loss: 3.6891 2022/08/26 00:38:42 - mmengine - INFO - Epoch(train) [239][20/63] lr: 5.7361e-03 eta: 7:09:46 time: 0.3701 data_time: 0.0161 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5606 loss_db: 0.2103 loss: 3.6304 2022/08/26 00:38:44 - mmengine - INFO - Epoch(train) [239][25/63] lr: 5.7361e-03 eta: 7:09:46 time: 0.3674 data_time: 0.0214 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5903 loss_db: 0.1966 loss: 3.6480 2022/08/26 00:38:48 - mmengine - INFO - Epoch(train) [239][30/63] lr: 5.7361e-03 eta: 7:09:47 time: 0.5368 data_time: 0.0257 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6335 loss_db: 0.2162 loss: 3.7100 2022/08/26 00:38:50 - mmengine - INFO - Epoch(train) [239][35/63] lr: 5.7361e-03 eta: 7:09:47 time: 0.5588 data_time: 0.0410 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6056 loss_db: 0.2102 loss: 3.6763 2022/08/26 00:38:51 - mmengine - INFO - Epoch(train) [239][40/63] lr: 5.7361e-03 eta: 7:09:41 time: 0.3967 data_time: 0.0335 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5937 loss_db: 0.2112 loss: 3.6661 2022/08/26 00:38:53 - mmengine - INFO - Epoch(train) [239][45/63] lr: 5.7361e-03 eta: 7:09:41 time: 0.3687 data_time: 0.0161 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6176 loss_db: 0.2231 loss: 3.7027 2022/08/26 00:38:56 - mmengine - INFO - Epoch(train) [239][50/63] lr: 5.7361e-03 eta: 7:09:37 time: 0.4312 data_time: 0.0207 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6391 loss_db: 0.2259 loss: 3.7278 2022/08/26 00:38:58 - mmengine - INFO - Epoch(train) [239][55/63] lr: 5.7361e-03 eta: 7:09:37 time: 0.4601 data_time: 0.0305 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6577 loss_db: 0.2374 loss: 3.7571 2022/08/26 00:39:00 - mmengine - INFO - Epoch(train) [239][60/63] lr: 5.7361e-03 eta: 7:09:33 time: 0.4164 data_time: 0.0333 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6129 loss_db: 0.2221 loss: 3.6950 2022/08/26 00:39:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:39:05 - mmengine - INFO - Epoch(train) [240][5/63] lr: 5.7307e-03 eta: 7:09:33 time: 0.5429 data_time: 0.1894 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6155 loss_db: 0.1979 loss: 3.6745 2022/08/26 00:39:07 - mmengine - INFO - Epoch(train) [240][10/63] lr: 5.7307e-03 eta: 7:09:29 time: 0.6060 data_time: 0.1934 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6494 loss_db: 0.2324 loss: 3.7430 2022/08/26 00:39:09 - mmengine - INFO - Epoch(train) [240][15/63] lr: 5.7307e-03 eta: 7:09:29 time: 0.4166 data_time: 0.0197 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6219 loss_db: 0.2299 loss: 3.7117 2022/08/26 00:39:11 - mmengine - INFO - Epoch(train) [240][20/63] lr: 5.7307e-03 eta: 7:09:23 time: 0.3725 data_time: 0.0298 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6320 loss_db: 0.2100 loss: 3.7011 2022/08/26 00:39:13 - mmengine - INFO - Epoch(train) [240][25/63] lr: 5.7307e-03 eta: 7:09:23 time: 0.3789 data_time: 0.0267 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6501 loss_db: 0.2298 loss: 3.7385 2022/08/26 00:39:14 - mmengine - INFO - Epoch(train) [240][30/63] lr: 5.7307e-03 eta: 7:09:16 time: 0.3698 data_time: 0.0146 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6417 loss_db: 0.2318 loss: 3.7329 2022/08/26 00:39:19 - mmengine - INFO - Epoch(train) [240][35/63] lr: 5.7307e-03 eta: 7:09:16 time: 0.6824 data_time: 0.0438 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6271 loss_db: 0.2185 loss: 3.7059 2022/08/26 00:39:21 - mmengine - INFO - Epoch(train) [240][40/63] lr: 5.7307e-03 eta: 7:09:22 time: 0.6854 data_time: 0.0501 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6153 loss_db: 0.2249 loss: 3.7012 2022/08/26 00:39:23 - mmengine - INFO - Epoch(train) [240][45/63] lr: 5.7307e-03 eta: 7:09:22 time: 0.3788 data_time: 0.0245 memory: 6760 loss_prob: 2.8610 loss_thr: 0.5952 loss_db: 0.2141 loss: 3.6703 2022/08/26 00:39:25 - mmengine - INFO - Epoch(train) [240][50/63] lr: 5.7307e-03 eta: 7:09:17 time: 0.3971 data_time: 0.0198 memory: 6760 loss_prob: 2.8627 loss_thr: 0.5888 loss_db: 0.2060 loss: 3.6575 2022/08/26 00:39:28 - mmengine - INFO - Epoch(train) [240][55/63] lr: 5.7307e-03 eta: 7:09:17 time: 0.4315 data_time: 0.0472 memory: 6760 loss_prob: 2.8637 loss_thr: 0.5958 loss_db: 0.2037 loss: 3.6632 2022/08/26 00:39:29 - mmengine - INFO - Epoch(train) [240][60/63] lr: 5.7307e-03 eta: 7:09:12 time: 0.4132 data_time: 0.0482 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6031 loss_db: 0.2094 loss: 3.6742 2022/08/26 00:39:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:39:31 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/26 00:39:36 - mmengine - INFO - Epoch(val) [240][5/500] eta: 7:09:12 time: 0.2883 data_time: 0.0336 memory: 6760 2022/08/26 00:39:37 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:02:23 time: 0.2919 data_time: 0.0340 memory: 425 2022/08/26 00:39:38 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:02:23 time: 0.2064 data_time: 0.0021 memory: 425 2022/08/26 00:39:39 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:01:34 time: 0.1973 data_time: 0.0018 memory: 425 2022/08/26 00:39:40 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:01:34 time: 0.1847 data_time: 0.0019 memory: 425 2022/08/26 00:39:41 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:01:36 time: 0.2051 data_time: 0.0019 memory: 425 2022/08/26 00:39:42 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:01:36 time: 0.2188 data_time: 0.0019 memory: 425 2022/08/26 00:39:43 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:01:39 time: 0.2157 data_time: 0.0018 memory: 425 2022/08/26 00:39:44 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:01:39 time: 0.2319 data_time: 0.0018 memory: 425 2022/08/26 00:39:47 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:02:53 time: 0.3855 data_time: 0.0318 memory: 425 2022/08/26 00:39:49 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:02:53 time: 0.4177 data_time: 0.0490 memory: 425 2022/08/26 00:39:50 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:01:43 time: 0.2354 data_time: 0.0190 memory: 425 2022/08/26 00:39:51 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:01:43 time: 0.2121 data_time: 0.0018 memory: 425 2022/08/26 00:39:52 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:01:38 time: 0.2285 data_time: 0.0018 memory: 425 2022/08/26 00:39:53 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:01:38 time: 0.2000 data_time: 0.0019 memory: 425 2022/08/26 00:39:54 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:01:22 time: 0.1958 data_time: 0.0020 memory: 425 2022/08/26 00:39:55 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:01:22 time: 0.1878 data_time: 0.0019 memory: 425 2022/08/26 00:39:56 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:01:36 time: 0.2344 data_time: 0.0032 memory: 425 2022/08/26 00:39:57 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:01:36 time: 0.2368 data_time: 0.0033 memory: 425 2022/08/26 00:39:58 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:01:08 time: 0.1722 data_time: 0.0018 memory: 425 2022/08/26 00:39:59 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:01:08 time: 0.1719 data_time: 0.0021 memory: 425 2022/08/26 00:40:00 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:01:08 time: 0.1769 data_time: 0.0022 memory: 425 2022/08/26 00:40:01 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:01:08 time: 0.1943 data_time: 0.0018 memory: 425 2022/08/26 00:40:02 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:01:15 time: 0.1998 data_time: 0.0019 memory: 425 2022/08/26 00:40:03 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:01:15 time: 0.2076 data_time: 0.0019 memory: 425 2022/08/26 00:40:04 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:01:09 time: 0.1885 data_time: 0.0018 memory: 425 2022/08/26 00:40:04 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:01:09 time: 0.1657 data_time: 0.0017 memory: 425 2022/08/26 00:40:10 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:03:42 time: 0.6176 data_time: 0.0016 memory: 425 2022/08/26 00:40:14 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:03:42 time: 0.9833 data_time: 0.0894 memory: 425 2022/08/26 00:40:15 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:03:14 time: 0.5565 data_time: 0.0898 memory: 425 2022/08/26 00:40:16 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:03:14 time: 0.2214 data_time: 0.0022 memory: 425 2022/08/26 00:40:18 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:01:19 time: 0.2343 data_time: 0.0022 memory: 425 2022/08/26 00:40:19 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:01:19 time: 0.2215 data_time: 0.0021 memory: 425 2022/08/26 00:40:20 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:01:21 time: 0.2477 data_time: 0.0021 memory: 425 2022/08/26 00:40:21 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:01:21 time: 0.2349 data_time: 0.0022 memory: 425 2022/08/26 00:40:22 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:59 time: 0.1855 data_time: 0.0022 memory: 425 2022/08/26 00:40:23 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:59 time: 0.2095 data_time: 0.0021 memory: 425 2022/08/26 00:40:25 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:01:25 time: 0.2749 data_time: 0.0019 memory: 425 2022/08/26 00:40:26 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:01:25 time: 0.3328 data_time: 0.0057 memory: 425 2022/08/26 00:40:28 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:01:37 time: 0.3235 data_time: 0.0064 memory: 425 2022/08/26 00:40:29 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:01:37 time: 0.2586 data_time: 0.0030 memory: 425 2022/08/26 00:40:30 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:54 time: 0.1885 data_time: 0.0022 memory: 425 2022/08/26 00:40:31 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:54 time: 0.1762 data_time: 0.0019 memory: 425 2022/08/26 00:40:32 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:51 time: 0.1831 data_time: 0.0018 memory: 425 2022/08/26 00:40:33 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:51 time: 0.2080 data_time: 0.0018 memory: 425 2022/08/26 00:40:34 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:58 time: 0.2169 data_time: 0.0018 memory: 425 2022/08/26 00:40:35 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:58 time: 0.2174 data_time: 0.0019 memory: 425 2022/08/26 00:40:37 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:01:20 time: 0.3102 data_time: 0.0083 memory: 425 2022/08/26 00:40:38 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:01:20 time: 0.3204 data_time: 0.0110 memory: 425 2022/08/26 00:40:40 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:01:08 time: 0.2737 data_time: 0.0046 memory: 425 2022/08/26 00:40:41 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:01:08 time: 0.2238 data_time: 0.0019 memory: 425 2022/08/26 00:40:41 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:38 time: 0.1597 data_time: 0.0018 memory: 425 2022/08/26 00:40:42 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:38 time: 0.1416 data_time: 0.0018 memory: 425 2022/08/26 00:40:43 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:48 time: 0.2100 data_time: 0.0018 memory: 425 2022/08/26 00:40:44 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:48 time: 0.2208 data_time: 0.0021 memory: 425 2022/08/26 00:40:46 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:51 time: 0.2335 data_time: 0.0021 memory: 425 2022/08/26 00:40:47 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:51 time: 0.2642 data_time: 0.0047 memory: 425 2022/08/26 00:40:48 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:42 time: 0.2028 data_time: 0.0047 memory: 425 2022/08/26 00:40:49 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:42 time: 0.1934 data_time: 0.0019 memory: 425 2022/08/26 00:40:50 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:40 time: 0.2040 data_time: 0.0020 memory: 425 2022/08/26 00:40:51 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:40 time: 0.1911 data_time: 0.0020 memory: 425 2022/08/26 00:40:52 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:35 time: 0.1842 data_time: 0.0019 memory: 425 2022/08/26 00:40:53 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:35 time: 0.2336 data_time: 0.0019 memory: 425 2022/08/26 00:40:54 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:41 time: 0.2316 data_time: 0.0019 memory: 425 2022/08/26 00:40:57 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:41 time: 0.4199 data_time: 0.0194 memory: 425 2022/08/26 00:40:58 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:01:09 time: 0.4102 data_time: 0.0230 memory: 425 2022/08/26 00:40:59 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:01:09 time: 0.2162 data_time: 0.0055 memory: 425 2022/08/26 00:41:01 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:43 time: 0.2709 data_time: 0.0020 memory: 425 2022/08/26 00:41:02 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:43 time: 0.2471 data_time: 0.0019 memory: 425 2022/08/26 00:41:03 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:40 time: 0.2696 data_time: 0.0019 memory: 425 2022/08/26 00:41:04 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:40 time: 0.2587 data_time: 0.0019 memory: 425 2022/08/26 00:41:05 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:26 time: 0.1875 data_time: 0.0019 memory: 425 2022/08/26 00:41:06 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:26 time: 0.2074 data_time: 0.0054 memory: 425 2022/08/26 00:41:07 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:27 time: 0.2103 data_time: 0.0054 memory: 425 2022/08/26 00:41:08 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:27 time: 0.1980 data_time: 0.0018 memory: 425 2022/08/26 00:41:10 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:24 time: 0.2035 data_time: 0.0018 memory: 425 2022/08/26 00:41:10 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:24 time: 0.1977 data_time: 0.0018 memory: 425 2022/08/26 00:41:11 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:20 time: 0.1903 data_time: 0.0018 memory: 425 2022/08/26 00:41:12 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:20 time: 0.1768 data_time: 0.0018 memory: 425 2022/08/26 00:41:13 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:17 time: 0.1776 data_time: 0.0018 memory: 425 2022/08/26 00:41:14 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:17 time: 0.1939 data_time: 0.0018 memory: 425 2022/08/26 00:41:15 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:17 time: 0.1967 data_time: 0.0018 memory: 425 2022/08/26 00:41:17 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:17 time: 0.2919 data_time: 0.0140 memory: 425 2022/08/26 00:41:18 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:22 time: 0.2848 data_time: 0.0165 memory: 425 2022/08/26 00:41:19 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:22 time: 0.2307 data_time: 0.0043 memory: 425 2022/08/26 00:41:20 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:16 time: 0.2390 data_time: 0.0019 memory: 425 2022/08/26 00:41:21 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:16 time: 0.1889 data_time: 0.0019 memory: 425 2022/08/26 00:41:22 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:10 time: 0.1777 data_time: 0.0018 memory: 425 2022/08/26 00:41:24 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:10 time: 0.2290 data_time: 0.0018 memory: 425 2022/08/26 00:41:25 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:11 time: 0.2398 data_time: 0.0019 memory: 425 2022/08/26 00:41:26 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:11 time: 0.2170 data_time: 0.0029 memory: 425 2022/08/26 00:41:27 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:08 time: 0.2166 data_time: 0.0032 memory: 425 2022/08/26 00:41:28 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:08 time: 0.1808 data_time: 0.0020 memory: 425 2022/08/26 00:41:29 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:05 time: 0.1914 data_time: 0.0018 memory: 425 2022/08/26 00:41:30 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:05 time: 0.2097 data_time: 0.0019 memory: 425 2022/08/26 00:41:31 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:03 time: 0.1994 data_time: 0.0019 memory: 425 2022/08/26 00:41:32 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:03 time: 0.2018 data_time: 0.0019 memory: 425 2022/08/26 00:41:33 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:02 time: 0.2145 data_time: 0.0020 memory: 425 2022/08/26 00:41:34 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:02 time: 0.2200 data_time: 0.0019 memory: 425 2022/08/26 00:41:35 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.1938 data_time: 0.0036 memory: 425 2022/08/26 00:41:35 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:41:35 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0024, precision: 0.0001, hmean: 0.0001 2022/08/26 00:41:35 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:41:35 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:41:35 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:41:35 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:41:35 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:41:35 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:41:35 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.0001 icdar/recall: 0.0024 icdar/hmean: 0.0001 2022/08/26 00:41:40 - mmengine - INFO - Epoch(train) [241][5/63] lr: 5.7253e-03 eta: 0:00:00 time: 0.7103 data_time: 0.2528 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6047 loss_db: 0.2290 loss: 3.6923 2022/08/26 00:41:42 - mmengine - INFO - Epoch(train) [241][10/63] lr: 5.7253e-03 eta: 7:09:13 time: 0.7197 data_time: 0.2624 memory: 6760 loss_prob: 2.8585 loss_thr: 0.5957 loss_db: 0.2034 loss: 3.6576 2022/08/26 00:41:44 - mmengine - INFO - Epoch(train) [241][15/63] lr: 5.7253e-03 eta: 7:09:13 time: 0.3823 data_time: 0.0221 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6222 loss_db: 0.2229 loss: 3.7040 2022/08/26 00:41:46 - mmengine - INFO - Epoch(train) [241][20/63] lr: 5.7253e-03 eta: 7:09:07 time: 0.3724 data_time: 0.0142 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6122 loss_db: 0.2224 loss: 3.6946 2022/08/26 00:41:48 - mmengine - INFO - Epoch(train) [241][25/63] lr: 5.7253e-03 eta: 7:09:07 time: 0.3817 data_time: 0.0279 memory: 6760 loss_prob: 2.8598 loss_thr: 0.5814 loss_db: 0.2088 loss: 3.6500 2022/08/26 00:41:50 - mmengine - INFO - Epoch(train) [241][30/63] lr: 5.7253e-03 eta: 7:09:02 time: 0.3997 data_time: 0.0249 memory: 6760 loss_prob: 2.8588 loss_thr: 0.5944 loss_db: 0.2002 loss: 3.6535 2022/08/26 00:41:52 - mmengine - INFO - Epoch(train) [241][35/63] lr: 5.7253e-03 eta: 7:09:02 time: 0.4092 data_time: 0.0189 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6222 loss_db: 0.2068 loss: 3.6875 2022/08/26 00:41:54 - mmengine - INFO - Epoch(train) [241][40/63] lr: 5.7253e-03 eta: 7:08:56 time: 0.3857 data_time: 0.0193 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6238 loss_db: 0.2182 loss: 3.7014 2022/08/26 00:41:57 - mmengine - INFO - Epoch(train) [241][45/63] lr: 5.7253e-03 eta: 7:08:56 time: 0.4739 data_time: 0.0182 memory: 6760 loss_prob: 2.8673 loss_thr: 0.6340 loss_db: 0.2398 loss: 3.7410 2022/08/26 00:41:59 - mmengine - INFO - Epoch(train) [241][50/63] lr: 5.7253e-03 eta: 7:08:56 time: 0.5315 data_time: 0.0529 memory: 6760 loss_prob: 2.8692 loss_thr: 0.6358 loss_db: 0.2417 loss: 3.7467 2022/08/26 00:42:01 - mmengine - INFO - Epoch(train) [241][55/63] lr: 5.7253e-03 eta: 7:08:56 time: 0.4940 data_time: 0.0479 memory: 6760 loss_prob: 2.8641 loss_thr: 0.6397 loss_db: 0.2230 loss: 3.7267 2022/08/26 00:42:03 - mmengine - INFO - Epoch(train) [241][60/63] lr: 5.7253e-03 eta: 7:08:52 time: 0.4395 data_time: 0.0164 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6320 loss_db: 0.2078 loss: 3.7013 2022/08/26 00:42:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:42:08 - mmengine - INFO - Epoch(train) [242][5/63] lr: 5.7199e-03 eta: 7:08:52 time: 0.5298 data_time: 0.1767 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6221 loss_db: 0.2496 loss: 3.7308 2022/08/26 00:42:10 - mmengine - INFO - Epoch(train) [242][10/63] lr: 5.7199e-03 eta: 7:08:47 time: 0.5678 data_time: 0.1945 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6739 loss_db: 0.2691 loss: 3.8042 2022/08/26 00:42:12 - mmengine - INFO - Epoch(train) [242][15/63] lr: 5.7199e-03 eta: 7:08:47 time: 0.3913 data_time: 0.0258 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6313 loss_db: 0.2462 loss: 3.7387 2022/08/26 00:42:14 - mmengine - INFO - Epoch(train) [242][20/63] lr: 5.7199e-03 eta: 7:08:41 time: 0.3827 data_time: 0.0117 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6173 loss_db: 0.2357 loss: 3.7120 2022/08/26 00:42:16 - mmengine - INFO - Epoch(train) [242][25/63] lr: 5.7199e-03 eta: 7:08:41 time: 0.4396 data_time: 0.0227 memory: 6760 loss_prob: 2.8567 loss_thr: 0.6236 loss_db: 0.2334 loss: 3.7136 2022/08/26 00:42:18 - mmengine - INFO - Epoch(train) [242][30/63] lr: 5.7199e-03 eta: 7:08:37 time: 0.4309 data_time: 0.0214 memory: 6760 loss_prob: 2.8569 loss_thr: 0.6167 loss_db: 0.2258 loss: 3.6994 2022/08/26 00:42:21 - mmengine - INFO - Epoch(train) [242][35/63] lr: 5.7199e-03 eta: 7:08:37 time: 0.4551 data_time: 0.0258 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6012 loss_db: 0.2118 loss: 3.6717 2022/08/26 00:42:23 - mmengine - INFO - Epoch(train) [242][40/63] lr: 5.7199e-03 eta: 7:08:34 time: 0.4523 data_time: 0.0264 memory: 6760 loss_prob: 2.8598 loss_thr: 0.5862 loss_db: 0.1956 loss: 3.6417 2022/08/26 00:42:25 - mmengine - INFO - Epoch(train) [242][45/63] lr: 5.7199e-03 eta: 7:08:34 time: 0.3838 data_time: 0.0166 memory: 6760 loss_prob: 2.8584 loss_thr: 0.5725 loss_db: 0.2045 loss: 3.6354 2022/08/26 00:42:27 - mmengine - INFO - Epoch(train) [242][50/63] lr: 5.7199e-03 eta: 7:08:30 time: 0.4340 data_time: 0.0341 memory: 6760 loss_prob: 2.8575 loss_thr: 0.5938 loss_db: 0.2202 loss: 3.6715 2022/08/26 00:42:29 - mmengine - INFO - Epoch(train) [242][55/63] lr: 5.7199e-03 eta: 7:08:30 time: 0.4317 data_time: 0.0337 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6319 loss_db: 0.2439 loss: 3.7362 2022/08/26 00:42:31 - mmengine - INFO - Epoch(train) [242][60/63] lr: 5.7199e-03 eta: 7:08:24 time: 0.3913 data_time: 0.0239 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6288 loss_db: 0.2617 loss: 3.7522 2022/08/26 00:42:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:42:36 - mmengine - INFO - Epoch(train) [243][5/63] lr: 5.7146e-03 eta: 7:08:24 time: 0.5269 data_time: 0.1456 memory: 6760 loss_prob: 2.8577 loss_thr: 0.5674 loss_db: 0.2093 loss: 3.6344 2022/08/26 00:42:38 - mmengine - INFO - Epoch(train) [243][10/63] lr: 5.7146e-03 eta: 7:08:20 time: 0.5764 data_time: 0.1778 memory: 6760 loss_prob: 2.8580 loss_thr: 0.5742 loss_db: 0.2042 loss: 3.6364 2022/08/26 00:42:40 - mmengine - INFO - Epoch(train) [243][15/63] lr: 5.7146e-03 eta: 7:08:20 time: 0.4370 data_time: 0.0420 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6041 loss_db: 0.2092 loss: 3.6719 2022/08/26 00:42:42 - mmengine - INFO - Epoch(train) [243][20/63] lr: 5.7146e-03 eta: 7:08:14 time: 0.3963 data_time: 0.0202 memory: 6760 loss_prob: 2.8594 loss_thr: 0.5878 loss_db: 0.2011 loss: 3.6483 2022/08/26 00:42:44 - mmengine - INFO - Epoch(train) [243][25/63] lr: 5.7146e-03 eta: 7:08:14 time: 0.4000 data_time: 0.0323 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5920 loss_db: 0.2026 loss: 3.6548 2022/08/26 00:42:46 - mmengine - INFO - Epoch(train) [243][30/63] lr: 5.7146e-03 eta: 7:08:09 time: 0.4106 data_time: 0.0227 memory: 6760 loss_prob: 2.8600 loss_thr: 0.5987 loss_db: 0.2088 loss: 3.6675 2022/08/26 00:42:48 - mmengine - INFO - Epoch(train) [243][35/63] lr: 5.7146e-03 eta: 7:08:09 time: 0.4151 data_time: 0.0258 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6032 loss_db: 0.2060 loss: 3.6695 2022/08/26 00:42:50 - mmengine - INFO - Epoch(train) [243][40/63] lr: 5.7146e-03 eta: 7:08:04 time: 0.3901 data_time: 0.0251 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6324 loss_db: 0.2189 loss: 3.7120 2022/08/26 00:42:52 - mmengine - INFO - Epoch(train) [243][45/63] lr: 5.7146e-03 eta: 7:08:04 time: 0.3654 data_time: 0.0155 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6395 loss_db: 0.2438 loss: 3.7445 2022/08/26 00:42:54 - mmengine - INFO - Epoch(train) [243][50/63] lr: 5.7146e-03 eta: 7:07:57 time: 0.3720 data_time: 0.0251 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6144 loss_db: 0.2291 loss: 3.7055 2022/08/26 00:42:55 - mmengine - INFO - Epoch(train) [243][55/63] lr: 5.7146e-03 eta: 7:07:57 time: 0.3713 data_time: 0.0227 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6166 loss_db: 0.2158 loss: 3.6946 2022/08/26 00:42:59 - mmengine - INFO - Epoch(train) [243][60/63] lr: 5.7146e-03 eta: 7:07:56 time: 0.4959 data_time: 0.0465 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6214 loss_db: 0.2255 loss: 3.7075 2022/08/26 00:43:00 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:43:03 - mmengine - INFO - Epoch(train) [244][5/63] lr: 5.7092e-03 eta: 7:07:56 time: 0.5392 data_time: 0.1800 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6181 loss_db: 0.2278 loss: 3.7065 2022/08/26 00:43:05 - mmengine - INFO - Epoch(train) [244][10/63] lr: 5.7092e-03 eta: 7:07:50 time: 0.5560 data_time: 0.1889 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6242 loss_db: 0.2161 loss: 3.7005 2022/08/26 00:43:07 - mmengine - INFO - Epoch(train) [244][15/63] lr: 5.7092e-03 eta: 7:07:50 time: 0.3864 data_time: 0.0260 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6114 loss_db: 0.2185 loss: 3.6888 2022/08/26 00:43:09 - mmengine - INFO - Epoch(train) [244][20/63] lr: 5.7092e-03 eta: 7:07:44 time: 0.3828 data_time: 0.0201 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6179 loss_db: 0.2250 loss: 3.7037 2022/08/26 00:43:11 - mmengine - INFO - Epoch(train) [244][25/63] lr: 5.7092e-03 eta: 7:07:44 time: 0.3907 data_time: 0.0224 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6229 loss_db: 0.2232 loss: 3.7084 2022/08/26 00:43:13 - mmengine - INFO - Epoch(train) [244][30/63] lr: 5.7092e-03 eta: 7:07:39 time: 0.3901 data_time: 0.0171 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6031 loss_db: 0.2120 loss: 3.6765 2022/08/26 00:43:15 - mmengine - INFO - Epoch(train) [244][35/63] lr: 5.7092e-03 eta: 7:07:39 time: 0.3835 data_time: 0.0181 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6254 loss_db: 0.2170 loss: 3.7032 2022/08/26 00:43:19 - mmengine - INFO - Epoch(train) [244][40/63] lr: 5.7092e-03 eta: 7:07:41 time: 0.5915 data_time: 0.0316 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6093 loss_db: 0.2148 loss: 3.6842 2022/08/26 00:43:21 - mmengine - INFO - Epoch(train) [244][45/63] lr: 5.7092e-03 eta: 7:07:41 time: 0.5930 data_time: 0.0315 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6211 loss_db: 0.2141 loss: 3.6955 2022/08/26 00:43:23 - mmengine - INFO - Epoch(train) [244][50/63] lr: 5.7092e-03 eta: 7:07:35 time: 0.3852 data_time: 0.0228 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6386 loss_db: 0.2268 loss: 3.7258 2022/08/26 00:43:24 - mmengine - INFO - Epoch(train) [244][55/63] lr: 5.7092e-03 eta: 7:07:35 time: 0.3748 data_time: 0.0184 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6216 loss_db: 0.2475 loss: 3.7298 2022/08/26 00:43:26 - mmengine - INFO - Epoch(train) [244][60/63] lr: 5.7092e-03 eta: 7:07:29 time: 0.3708 data_time: 0.0180 memory: 6760 loss_prob: 2.8620 loss_thr: 0.5960 loss_db: 0.2277 loss: 3.6857 2022/08/26 00:43:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:43:31 - mmengine - INFO - Epoch(train) [245][5/63] lr: 5.7038e-03 eta: 7:07:29 time: 0.5107 data_time: 0.1568 memory: 6760 loss_prob: 2.8628 loss_thr: 0.5952 loss_db: 0.2073 loss: 3.6653 2022/08/26 00:43:33 - mmengine - INFO - Epoch(train) [245][10/63] lr: 5.7038e-03 eta: 7:07:22 time: 0.5164 data_time: 0.1517 memory: 6760 loss_prob: 2.8625 loss_thr: 0.5837 loss_db: 0.2041 loss: 3.6503 2022/08/26 00:43:34 - mmengine - INFO - Epoch(train) [245][15/63] lr: 5.7038e-03 eta: 7:07:22 time: 0.3747 data_time: 0.0168 memory: 6760 loss_prob: 2.8624 loss_thr: 0.5912 loss_db: 0.2031 loss: 3.6567 2022/08/26 00:43:37 - mmengine - INFO - Epoch(train) [245][20/63] lr: 5.7038e-03 eta: 7:07:16 time: 0.3985 data_time: 0.0182 memory: 6760 loss_prob: 2.8625 loss_thr: 0.6039 loss_db: 0.2156 loss: 3.6821 2022/08/26 00:43:39 - mmengine - INFO - Epoch(train) [245][25/63] lr: 5.7038e-03 eta: 7:07:16 time: 0.4189 data_time: 0.0246 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5877 loss_db: 0.2148 loss: 3.6641 2022/08/26 00:43:41 - mmengine - INFO - Epoch(train) [245][30/63] lr: 5.7038e-03 eta: 7:07:13 time: 0.4472 data_time: 0.0279 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5961 loss_db: 0.2239 loss: 3.6807 2022/08/26 00:43:43 - mmengine - INFO - Epoch(train) [245][35/63] lr: 5.7038e-03 eta: 7:07:13 time: 0.4282 data_time: 0.0208 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6417 loss_db: 0.2510 loss: 3.7554 2022/08/26 00:43:45 - mmengine - INFO - Epoch(train) [245][40/63] lr: 5.7038e-03 eta: 7:07:07 time: 0.3753 data_time: 0.0158 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6331 loss_db: 0.2375 loss: 3.7324 2022/08/26 00:43:47 - mmengine - INFO - Epoch(train) [245][45/63] lr: 5.7038e-03 eta: 7:07:07 time: 0.4324 data_time: 0.0272 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6047 loss_db: 0.2198 loss: 3.6829 2022/08/26 00:43:49 - mmengine - INFO - Epoch(train) [245][50/63] lr: 5.7038e-03 eta: 7:07:03 time: 0.4408 data_time: 0.0347 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6449 loss_db: 0.2329 loss: 3.7364 2022/08/26 00:43:51 - mmengine - INFO - Epoch(train) [245][55/63] lr: 5.7038e-03 eta: 7:07:03 time: 0.3800 data_time: 0.0231 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6768 loss_db: 0.2338 loss: 3.7700 2022/08/26 00:43:53 - mmengine - INFO - Epoch(train) [245][60/63] lr: 5.7038e-03 eta: 7:06:57 time: 0.3726 data_time: 0.0160 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6519 loss_db: 0.2341 loss: 3.7457 2022/08/26 00:43:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:43:58 - mmengine - INFO - Epoch(train) [246][5/63] lr: 5.6984e-03 eta: 7:06:57 time: 0.5622 data_time: 0.1531 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6191 loss_db: 0.2121 loss: 3.6919 2022/08/26 00:44:00 - mmengine - INFO - Epoch(train) [246][10/63] lr: 5.6984e-03 eta: 7:06:52 time: 0.5786 data_time: 0.1692 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5818 loss_db: 0.2060 loss: 3.6471 2022/08/26 00:44:02 - mmengine - INFO - Epoch(train) [246][15/63] lr: 5.6984e-03 eta: 7:06:52 time: 0.3731 data_time: 0.0260 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5913 loss_db: 0.2122 loss: 3.6640 2022/08/26 00:44:03 - mmengine - INFO - Epoch(train) [246][20/63] lr: 5.6984e-03 eta: 7:06:45 time: 0.3628 data_time: 0.0151 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6106 loss_db: 0.2123 loss: 3.6851 2022/08/26 00:44:05 - mmengine - INFO - Epoch(train) [246][25/63] lr: 5.6984e-03 eta: 7:06:45 time: 0.3720 data_time: 0.0242 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6103 loss_db: 0.2063 loss: 3.6780 2022/08/26 00:44:08 - mmengine - INFO - Epoch(train) [246][30/63] lr: 5.6984e-03 eta: 7:06:44 time: 0.4860 data_time: 0.0213 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6300 loss_db: 0.1994 loss: 3.6900 2022/08/26 00:44:10 - mmengine - INFO - Epoch(train) [246][35/63] lr: 5.6984e-03 eta: 7:06:44 time: 0.5027 data_time: 0.0356 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6254 loss_db: 0.2109 loss: 3.6969 2022/08/26 00:44:12 - mmengine - INFO - Epoch(train) [246][40/63] lr: 5.6984e-03 eta: 7:06:38 time: 0.3872 data_time: 0.0354 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6014 loss_db: 0.2121 loss: 3.6743 2022/08/26 00:44:14 - mmengine - INFO - Epoch(train) [246][45/63] lr: 5.6984e-03 eta: 7:06:38 time: 0.3747 data_time: 0.0182 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6231 loss_db: 0.2147 loss: 3.6987 2022/08/26 00:44:17 - mmengine - INFO - Epoch(train) [246][50/63] lr: 5.6984e-03 eta: 7:06:34 time: 0.4489 data_time: 0.0238 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6289 loss_db: 0.2200 loss: 3.7091 2022/08/26 00:44:18 - mmengine - INFO - Epoch(train) [246][55/63] lr: 5.6984e-03 eta: 7:06:34 time: 0.4414 data_time: 0.0229 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6350 loss_db: 0.2308 loss: 3.7260 2022/08/26 00:44:20 - mmengine - INFO - Epoch(train) [246][60/63] lr: 5.6984e-03 eta: 7:06:29 time: 0.3853 data_time: 0.0243 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6644 loss_db: 0.2381 loss: 3.7634 2022/08/26 00:44:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:44:25 - mmengine - INFO - Epoch(train) [247][5/63] lr: 5.6931e-03 eta: 7:06:29 time: 0.5132 data_time: 0.1518 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6187 loss_db: 0.2238 loss: 3.7054 2022/08/26 00:44:27 - mmengine - INFO - Epoch(train) [247][10/63] lr: 5.6931e-03 eta: 7:06:22 time: 0.5333 data_time: 0.1622 memory: 6760 loss_prob: 2.8634 loss_thr: 0.6167 loss_db: 0.2247 loss: 3.7048 2022/08/26 00:44:29 - mmengine - INFO - Epoch(train) [247][15/63] lr: 5.6931e-03 eta: 7:06:22 time: 0.3957 data_time: 0.0273 memory: 6760 loss_prob: 2.8639 loss_thr: 0.6132 loss_db: 0.2190 loss: 3.6961 2022/08/26 00:44:31 - mmengine - INFO - Epoch(train) [247][20/63] lr: 5.6931e-03 eta: 7:06:16 time: 0.3780 data_time: 0.0239 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6000 loss_db: 0.2152 loss: 3.6783 2022/08/26 00:44:32 - mmengine - INFO - Epoch(train) [247][25/63] lr: 5.6931e-03 eta: 7:06:16 time: 0.3703 data_time: 0.0270 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5937 loss_db: 0.2121 loss: 3.6674 2022/08/26 00:44:34 - mmengine - INFO - Epoch(train) [247][30/63] lr: 5.6931e-03 eta: 7:06:10 time: 0.3729 data_time: 0.0214 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6255 loss_db: 0.2137 loss: 3.7015 2022/08/26 00:44:37 - mmengine - INFO - Epoch(train) [247][35/63] lr: 5.6931e-03 eta: 7:06:10 time: 0.4479 data_time: 0.0189 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6531 loss_db: 0.2309 loss: 3.7465 2022/08/26 00:44:39 - mmengine - INFO - Epoch(train) [247][40/63] lr: 5.6931e-03 eta: 7:06:06 time: 0.4441 data_time: 0.0223 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6285 loss_db: 0.2233 loss: 3.7147 2022/08/26 00:44:41 - mmengine - INFO - Epoch(train) [247][45/63] lr: 5.6931e-03 eta: 7:06:06 time: 0.4399 data_time: 0.0268 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6190 loss_db: 0.2236 loss: 3.7056 2022/08/26 00:44:43 - mmengine - INFO - Epoch(train) [247][50/63] lr: 5.6931e-03 eta: 7:06:03 time: 0.4445 data_time: 0.0264 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6168 loss_db: 0.2323 loss: 3.7112 2022/08/26 00:44:45 - mmengine - INFO - Epoch(train) [247][55/63] lr: 5.6931e-03 eta: 7:06:03 time: 0.3806 data_time: 0.0202 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6077 loss_db: 0.2185 loss: 3.6883 2022/08/26 00:44:47 - mmengine - INFO - Epoch(train) [247][60/63] lr: 5.6931e-03 eta: 7:05:58 time: 0.4115 data_time: 0.0270 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6346 loss_db: 0.2182 loss: 3.7158 2022/08/26 00:44:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:44:52 - mmengine - INFO - Epoch(train) [248][5/63] lr: 5.6877e-03 eta: 7:05:58 time: 0.5699 data_time: 0.1999 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6350 loss_db: 0.2200 loss: 3.7172 2022/08/26 00:44:54 - mmengine - INFO - Epoch(train) [248][10/63] lr: 5.6877e-03 eta: 7:05:52 time: 0.5411 data_time: 0.1839 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6368 loss_db: 0.2305 loss: 3.7292 2022/08/26 00:44:56 - mmengine - INFO - Epoch(train) [248][15/63] lr: 5.6877e-03 eta: 7:05:52 time: 0.3898 data_time: 0.0240 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6216 loss_db: 0.2214 loss: 3.7046 2022/08/26 00:44:58 - mmengine - INFO - Epoch(train) [248][20/63] lr: 5.6877e-03 eta: 7:05:46 time: 0.3831 data_time: 0.0157 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6323 loss_db: 0.2325 loss: 3.7254 2022/08/26 00:45:00 - mmengine - INFO - Epoch(train) [248][25/63] lr: 5.6877e-03 eta: 7:05:46 time: 0.3778 data_time: 0.0178 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5998 loss_db: 0.2293 loss: 3.6894 2022/08/26 00:45:02 - mmengine - INFO - Epoch(train) [248][30/63] lr: 5.6877e-03 eta: 7:05:40 time: 0.3900 data_time: 0.0161 memory: 6760 loss_prob: 2.8597 loss_thr: 0.5744 loss_db: 0.2036 loss: 3.6377 2022/08/26 00:45:04 - mmengine - INFO - Epoch(train) [248][35/63] lr: 5.6877e-03 eta: 7:05:40 time: 0.3983 data_time: 0.0226 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6028 loss_db: 0.2092 loss: 3.6719 2022/08/26 00:45:06 - mmengine - INFO - Epoch(train) [248][40/63] lr: 5.6877e-03 eta: 7:05:35 time: 0.4060 data_time: 0.0225 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6311 loss_db: 0.2362 loss: 3.7272 2022/08/26 00:45:08 - mmengine - INFO - Epoch(train) [248][45/63] lr: 5.6877e-03 eta: 7:05:35 time: 0.4269 data_time: 0.0240 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6167 loss_db: 0.2254 loss: 3.7012 2022/08/26 00:45:10 - mmengine - INFO - Epoch(train) [248][50/63] lr: 5.6877e-03 eta: 7:05:31 time: 0.4080 data_time: 0.0271 memory: 6760 loss_prob: 2.8588 loss_thr: 0.5919 loss_db: 0.2158 loss: 3.6665 2022/08/26 00:45:12 - mmengine - INFO - Epoch(train) [248][55/63] lr: 5.6877e-03 eta: 7:05:31 time: 0.3739 data_time: 0.0192 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5980 loss_db: 0.2249 loss: 3.6817 2022/08/26 00:45:14 - mmengine - INFO - Epoch(train) [248][60/63] lr: 5.6877e-03 eta: 7:05:24 time: 0.3713 data_time: 0.0168 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6256 loss_db: 0.2215 loss: 3.7066 2022/08/26 00:45:15 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:45:19 - mmengine - INFO - Epoch(train) [249][5/63] lr: 5.6823e-03 eta: 7:05:24 time: 0.5508 data_time: 0.1928 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6230 loss_db: 0.2213 loss: 3.7045 2022/08/26 00:45:21 - mmengine - INFO - Epoch(train) [249][10/63] lr: 5.6823e-03 eta: 7:05:20 time: 0.5867 data_time: 0.2002 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6265 loss_db: 0.2422 loss: 3.7303 2022/08/26 00:45:23 - mmengine - INFO - Epoch(train) [249][15/63] lr: 5.6823e-03 eta: 7:05:20 time: 0.3949 data_time: 0.0219 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6193 loss_db: 0.2406 loss: 3.7216 2022/08/26 00:45:25 - mmengine - INFO - Epoch(train) [249][20/63] lr: 5.6823e-03 eta: 7:05:14 time: 0.3815 data_time: 0.0235 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6088 loss_db: 0.2238 loss: 3.6931 2022/08/26 00:45:27 - mmengine - INFO - Epoch(train) [249][25/63] lr: 5.6823e-03 eta: 7:05:14 time: 0.4645 data_time: 0.0225 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6284 loss_db: 0.2273 loss: 3.7161 2022/08/26 00:45:30 - mmengine - INFO - Epoch(train) [249][30/63] lr: 5.6823e-03 eta: 7:05:13 time: 0.5064 data_time: 0.0644 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6147 loss_db: 0.2216 loss: 3.6973 2022/08/26 00:45:32 - mmengine - INFO - Epoch(train) [249][35/63] lr: 5.6823e-03 eta: 7:05:13 time: 0.4260 data_time: 0.0741 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6137 loss_db: 0.2175 loss: 3.6931 2022/08/26 00:45:33 - mmengine - INFO - Epoch(train) [249][40/63] lr: 5.6823e-03 eta: 7:05:07 time: 0.3772 data_time: 0.0253 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6115 loss_db: 0.2089 loss: 3.6816 2022/08/26 00:45:35 - mmengine - INFO - Epoch(train) [249][45/63] lr: 5.6823e-03 eta: 7:05:07 time: 0.3690 data_time: 0.0177 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6201 loss_db: 0.2102 loss: 3.6899 2022/08/26 00:45:37 - mmengine - INFO - Epoch(train) [249][50/63] lr: 5.6823e-03 eta: 7:05:01 time: 0.3934 data_time: 0.0197 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6300 loss_db: 0.2153 loss: 3.7049 2022/08/26 00:45:39 - mmengine - INFO - Epoch(train) [249][55/63] lr: 5.6823e-03 eta: 7:05:01 time: 0.4069 data_time: 0.0183 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6176 loss_db: 0.2133 loss: 3.6909 2022/08/26 00:45:42 - mmengine - INFO - Epoch(train) [249][60/63] lr: 5.6823e-03 eta: 7:04:57 time: 0.4352 data_time: 0.0231 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6022 loss_db: 0.2135 loss: 3.6762 2022/08/26 00:45:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:45:47 - mmengine - INFO - Epoch(train) [250][5/63] lr: 5.6769e-03 eta: 7:04:57 time: 0.6075 data_time: 0.1803 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6240 loss_db: 0.2152 loss: 3.7020 2022/08/26 00:45:48 - mmengine - INFO - Epoch(train) [250][10/63] lr: 5.6769e-03 eta: 7:04:52 time: 0.5569 data_time: 0.1904 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6590 loss_db: 0.2393 loss: 3.7611 2022/08/26 00:45:50 - mmengine - INFO - Epoch(train) [250][15/63] lr: 5.6769e-03 eta: 7:04:52 time: 0.3839 data_time: 0.0284 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6219 loss_db: 0.2300 loss: 3.7138 2022/08/26 00:45:52 - mmengine - INFO - Epoch(train) [250][20/63] lr: 5.6769e-03 eta: 7:04:46 time: 0.3800 data_time: 0.0143 memory: 6760 loss_prob: 2.8619 loss_thr: 0.5953 loss_db: 0.2120 loss: 3.6693 2022/08/26 00:45:54 - mmengine - INFO - Epoch(train) [250][25/63] lr: 5.6769e-03 eta: 7:04:46 time: 0.3837 data_time: 0.0246 memory: 6760 loss_prob: 2.8614 loss_thr: 0.5855 loss_db: 0.2061 loss: 3.6530 2022/08/26 00:45:57 - mmengine - INFO - Epoch(train) [250][30/63] lr: 5.6769e-03 eta: 7:04:42 time: 0.4321 data_time: 0.0276 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5691 loss_db: 0.2064 loss: 3.6358 2022/08/26 00:45:59 - mmengine - INFO - Epoch(train) [250][35/63] lr: 5.6769e-03 eta: 7:04:42 time: 0.4382 data_time: 0.0291 memory: 6760 loss_prob: 2.8609 loss_thr: 0.5863 loss_db: 0.2092 loss: 3.6565 2022/08/26 00:46:01 - mmengine - INFO - Epoch(train) [250][40/63] lr: 5.6769e-03 eta: 7:04:38 time: 0.4232 data_time: 0.0236 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6080 loss_db: 0.2067 loss: 3.6767 2022/08/26 00:46:03 - mmengine - INFO - Epoch(train) [250][45/63] lr: 5.6769e-03 eta: 7:04:38 time: 0.4097 data_time: 0.0191 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6007 loss_db: 0.2036 loss: 3.6662 2022/08/26 00:46:05 - mmengine - INFO - Epoch(train) [250][50/63] lr: 5.6769e-03 eta: 7:04:32 time: 0.3852 data_time: 0.0294 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5984 loss_db: 0.2059 loss: 3.6650 2022/08/26 00:46:07 - mmengine - INFO - Epoch(train) [250][55/63] lr: 5.6769e-03 eta: 7:04:32 time: 0.4048 data_time: 0.0233 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5956 loss_db: 0.2026 loss: 3.6585 2022/08/26 00:46:09 - mmengine - INFO - Epoch(train) [250][60/63] lr: 5.6769e-03 eta: 7:04:27 time: 0.4000 data_time: 0.0223 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6064 loss_db: 0.2191 loss: 3.6859 2022/08/26 00:46:10 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:46:13 - mmengine - INFO - Epoch(train) [251][5/63] lr: 5.6716e-03 eta: 7:04:27 time: 0.5222 data_time: 0.1637 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6079 loss_db: 0.2147 loss: 3.6848 2022/08/26 00:46:15 - mmengine - INFO - Epoch(train) [251][10/63] lr: 5.6716e-03 eta: 7:04:20 time: 0.5278 data_time: 0.1775 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5904 loss_db: 0.2088 loss: 3.6605 2022/08/26 00:46:17 - mmengine - INFO - Epoch(train) [251][15/63] lr: 5.6716e-03 eta: 7:04:20 time: 0.3900 data_time: 0.0228 memory: 6760 loss_prob: 2.8629 loss_thr: 0.5855 loss_db: 0.2104 loss: 3.6588 2022/08/26 00:46:19 - mmengine - INFO - Epoch(train) [251][20/63] lr: 5.6716e-03 eta: 7:04:15 time: 0.4056 data_time: 0.0173 memory: 6760 loss_prob: 2.8642 loss_thr: 0.5872 loss_db: 0.2054 loss: 3.6568 2022/08/26 00:46:21 - mmengine - INFO - Epoch(train) [251][25/63] lr: 5.6716e-03 eta: 7:04:15 time: 0.4192 data_time: 0.0193 memory: 6760 loss_prob: 2.8632 loss_thr: 0.5937 loss_db: 0.2089 loss: 3.6658 2022/08/26 00:46:23 - mmengine - INFO - Epoch(train) [251][30/63] lr: 5.6716e-03 eta: 7:04:10 time: 0.4146 data_time: 0.0201 memory: 6760 loss_prob: 2.8627 loss_thr: 0.5993 loss_db: 0.2080 loss: 3.6699 2022/08/26 00:46:25 - mmengine - INFO - Epoch(train) [251][35/63] lr: 5.6716e-03 eta: 7:04:10 time: 0.3987 data_time: 0.0304 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5862 loss_db: 0.2123 loss: 3.6597 2022/08/26 00:46:28 - mmengine - INFO - Epoch(train) [251][40/63] lr: 5.6716e-03 eta: 7:04:07 time: 0.4332 data_time: 0.0293 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6234 loss_db: 0.2384 loss: 3.7221 2022/08/26 00:46:29 - mmengine - INFO - Epoch(train) [251][45/63] lr: 5.6716e-03 eta: 7:04:07 time: 0.4190 data_time: 0.0208 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6157 loss_db: 0.2232 loss: 3.6994 2022/08/26 00:46:31 - mmengine - INFO - Epoch(train) [251][50/63] lr: 5.6716e-03 eta: 7:04:00 time: 0.3782 data_time: 0.0203 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5713 loss_db: 0.2009 loss: 3.6326 2022/08/26 00:46:33 - mmengine - INFO - Epoch(train) [251][55/63] lr: 5.6716e-03 eta: 7:04:00 time: 0.3718 data_time: 0.0172 memory: 6760 loss_prob: 2.8598 loss_thr: 0.5778 loss_db: 0.2030 loss: 3.6405 2022/08/26 00:46:35 - mmengine - INFO - Epoch(train) [251][60/63] lr: 5.6716e-03 eta: 7:03:54 time: 0.3793 data_time: 0.0171 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5661 loss_db: 0.2077 loss: 3.6331 2022/08/26 00:46:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:46:40 - mmengine - INFO - Epoch(train) [252][5/63] lr: 5.6662e-03 eta: 7:03:54 time: 0.5421 data_time: 0.1672 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6257 loss_db: 0.2277 loss: 3.7144 2022/08/26 00:46:42 - mmengine - INFO - Epoch(train) [252][10/63] lr: 5.6662e-03 eta: 7:03:49 time: 0.5466 data_time: 0.1685 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6184 loss_db: 0.2216 loss: 3.7009 2022/08/26 00:46:44 - mmengine - INFO - Epoch(train) [252][15/63] lr: 5.6662e-03 eta: 7:03:49 time: 0.3884 data_time: 0.0183 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5995 loss_db: 0.2309 loss: 3.6907 2022/08/26 00:46:46 - mmengine - INFO - Epoch(train) [252][20/63] lr: 5.6662e-03 eta: 7:03:43 time: 0.3768 data_time: 0.0200 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6089 loss_db: 0.2166 loss: 3.6855 2022/08/26 00:46:48 - mmengine - INFO - Epoch(train) [252][25/63] lr: 5.6662e-03 eta: 7:03:43 time: 0.3918 data_time: 0.0335 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6197 loss_db: 0.2084 loss: 3.6883 2022/08/26 00:46:50 - mmengine - INFO - Epoch(train) [252][30/63] lr: 5.6662e-03 eta: 7:03:37 time: 0.3893 data_time: 0.0280 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6155 loss_db: 0.2160 loss: 3.6897 2022/08/26 00:46:51 - mmengine - INFO - Epoch(train) [252][35/63] lr: 5.6662e-03 eta: 7:03:37 time: 0.3777 data_time: 0.0162 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6271 loss_db: 0.2212 loss: 3.7063 2022/08/26 00:46:53 - mmengine - INFO - Epoch(train) [252][40/63] lr: 5.6662e-03 eta: 7:03:31 time: 0.3849 data_time: 0.0175 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6197 loss_db: 0.2159 loss: 3.6963 2022/08/26 00:46:55 - mmengine - INFO - Epoch(train) [252][45/63] lr: 5.6662e-03 eta: 7:03:31 time: 0.3959 data_time: 0.0213 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6124 loss_db: 0.2054 loss: 3.6789 2022/08/26 00:46:59 - mmengine - INFO - Epoch(train) [252][50/63] lr: 5.6662e-03 eta: 7:03:33 time: 0.5849 data_time: 0.0510 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6135 loss_db: 0.2107 loss: 3.6852 2022/08/26 00:47:01 - mmengine - INFO - Epoch(train) [252][55/63] lr: 5.6662e-03 eta: 7:03:33 time: 0.5879 data_time: 0.0535 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6105 loss_db: 0.2167 loss: 3.6890 2022/08/26 00:47:03 - mmengine - INFO - Epoch(train) [252][60/63] lr: 5.6662e-03 eta: 7:03:28 time: 0.3967 data_time: 0.0255 memory: 6760 loss_prob: 2.8619 loss_thr: 0.5992 loss_db: 0.2233 loss: 3.6845 2022/08/26 00:47:04 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:47:07 - mmengine - INFO - Epoch(train) [253][5/63] lr: 5.6608e-03 eta: 7:03:28 time: 0.4870 data_time: 0.1479 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6459 loss_db: 0.2285 loss: 3.7362 2022/08/26 00:47:09 - mmengine - INFO - Epoch(train) [253][10/63] lr: 5.6608e-03 eta: 7:03:21 time: 0.5199 data_time: 0.1562 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6351 loss_db: 0.2169 loss: 3.7138 2022/08/26 00:47:11 - mmengine - INFO - Epoch(train) [253][15/63] lr: 5.6608e-03 eta: 7:03:21 time: 0.4004 data_time: 0.0245 memory: 6760 loss_prob: 2.8617 loss_thr: 0.5977 loss_db: 0.2108 loss: 3.6701 2022/08/26 00:47:13 - mmengine - INFO - Epoch(train) [253][20/63] lr: 5.6608e-03 eta: 7:03:15 time: 0.3930 data_time: 0.0254 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6085 loss_db: 0.2204 loss: 3.6911 2022/08/26 00:47:15 - mmengine - INFO - Epoch(train) [253][25/63] lr: 5.6608e-03 eta: 7:03:15 time: 0.3795 data_time: 0.0240 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6133 loss_db: 0.2295 loss: 3.7051 2022/08/26 00:47:18 - mmengine - INFO - Epoch(train) [253][30/63] lr: 5.6608e-03 eta: 7:03:14 time: 0.5015 data_time: 0.0286 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6186 loss_db: 0.2361 loss: 3.7174 2022/08/26 00:47:20 - mmengine - INFO - Epoch(train) [253][35/63] lr: 5.6608e-03 eta: 7:03:14 time: 0.5206 data_time: 0.0430 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6262 loss_db: 0.2260 loss: 3.7148 2022/08/26 00:47:22 - mmengine - INFO - Epoch(train) [253][40/63] lr: 5.6608e-03 eta: 7:03:09 time: 0.4087 data_time: 0.0349 memory: 6760 loss_prob: 2.8634 loss_thr: 0.6533 loss_db: 0.2350 loss: 3.7518 2022/08/26 00:47:24 - mmengine - INFO - Epoch(train) [253][45/63] lr: 5.6608e-03 eta: 7:03:09 time: 0.3853 data_time: 0.0221 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6726 loss_db: 0.2463 loss: 3.7816 2022/08/26 00:47:27 - mmengine - INFO - Epoch(train) [253][50/63] lr: 5.6608e-03 eta: 7:03:04 time: 0.4158 data_time: 0.0220 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6126 loss_db: 0.2299 loss: 3.7027 2022/08/26 00:47:29 - mmengine - INFO - Epoch(train) [253][55/63] lr: 5.6608e-03 eta: 7:03:04 time: 0.4360 data_time: 0.0244 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6048 loss_db: 0.2254 loss: 3.6906 2022/08/26 00:47:31 - mmengine - INFO - Epoch(train) [253][60/63] lr: 5.6608e-03 eta: 7:02:59 time: 0.3958 data_time: 0.0241 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6191 loss_db: 0.2194 loss: 3.6984 2022/08/26 00:47:32 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:47:35 - mmengine - INFO - Epoch(train) [254][5/63] lr: 5.6554e-03 eta: 7:02:59 time: 0.5322 data_time: 0.1764 memory: 6760 loss_prob: 2.8564 loss_thr: 0.5629 loss_db: 0.2021 loss: 3.6214 2022/08/26 00:47:38 - mmengine - INFO - Epoch(train) [254][10/63] lr: 5.6554e-03 eta: 7:02:55 time: 0.5969 data_time: 0.1853 memory: 6760 loss_prob: 2.8571 loss_thr: 0.5953 loss_db: 0.2135 loss: 3.6660 2022/08/26 00:47:39 - mmengine - INFO - Epoch(train) [254][15/63] lr: 5.6554e-03 eta: 7:02:55 time: 0.4322 data_time: 0.0275 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6306 loss_db: 0.2316 loss: 3.7203 2022/08/26 00:47:41 - mmengine - INFO - Epoch(train) [254][20/63] lr: 5.6554e-03 eta: 7:02:49 time: 0.3704 data_time: 0.0181 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6200 loss_db: 0.2304 loss: 3.7093 2022/08/26 00:47:43 - mmengine - INFO - Epoch(train) [254][25/63] lr: 5.6554e-03 eta: 7:02:49 time: 0.3944 data_time: 0.0229 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6280 loss_db: 0.2275 loss: 3.7150 2022/08/26 00:47:45 - mmengine - INFO - Epoch(train) [254][30/63] lr: 5.6554e-03 eta: 7:02:44 time: 0.4045 data_time: 0.0219 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6455 loss_db: 0.2344 loss: 3.7412 2022/08/26 00:47:48 - mmengine - INFO - Epoch(train) [254][35/63] lr: 5.6554e-03 eta: 7:02:44 time: 0.4680 data_time: 0.0313 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6235 loss_db: 0.2270 loss: 3.7123 2022/08/26 00:47:50 - mmengine - INFO - Epoch(train) [254][40/63] lr: 5.6554e-03 eta: 7:02:41 time: 0.4605 data_time: 0.0305 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5787 loss_db: 0.2068 loss: 3.6448 2022/08/26 00:47:52 - mmengine - INFO - Epoch(train) [254][45/63] lr: 5.6554e-03 eta: 7:02:41 time: 0.3972 data_time: 0.0208 memory: 6760 loss_prob: 2.8581 loss_thr: 0.5762 loss_db: 0.1989 loss: 3.6332 2022/08/26 00:47:54 - mmengine - INFO - Epoch(train) [254][50/63] lr: 5.6554e-03 eta: 7:02:36 time: 0.4053 data_time: 0.0294 memory: 6760 loss_prob: 2.8583 loss_thr: 0.5929 loss_db: 0.2060 loss: 3.6572 2022/08/26 00:47:56 - mmengine - INFO - Epoch(train) [254][55/63] lr: 5.6554e-03 eta: 7:02:36 time: 0.3966 data_time: 0.0219 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5789 loss_db: 0.2026 loss: 3.6405 2022/08/26 00:47:58 - mmengine - INFO - Epoch(train) [254][60/63] lr: 5.6554e-03 eta: 7:02:31 time: 0.4022 data_time: 0.0191 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5553 loss_db: 0.1989 loss: 3.6133 2022/08/26 00:47:58 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:47:59 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:48:02 - mmengine - INFO - Epoch(train) [255][5/63] lr: 5.6500e-03 eta: 7:02:31 time: 0.5175 data_time: 0.1598 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6066 loss_db: 0.2064 loss: 3.6746 2022/08/26 00:48:05 - mmengine - INFO - Epoch(train) [255][10/63] lr: 5.6500e-03 eta: 7:02:26 time: 0.5624 data_time: 0.1823 memory: 6760 loss_prob: 2.8625 loss_thr: 0.6094 loss_db: 0.2056 loss: 3.6774 2022/08/26 00:48:07 - mmengine - INFO - Epoch(train) [255][15/63] lr: 5.6500e-03 eta: 7:02:26 time: 0.4403 data_time: 0.0297 memory: 6760 loss_prob: 2.8618 loss_thr: 0.5991 loss_db: 0.2106 loss: 3.6714 2022/08/26 00:48:09 - mmengine - INFO - Epoch(train) [255][20/63] lr: 5.6500e-03 eta: 7:02:21 time: 0.4108 data_time: 0.0194 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6078 loss_db: 0.2217 loss: 3.6918 2022/08/26 00:48:11 - mmengine - INFO - Epoch(train) [255][25/63] lr: 5.6500e-03 eta: 7:02:21 time: 0.3891 data_time: 0.0279 memory: 6760 loss_prob: 2.8644 loss_thr: 0.6326 loss_db: 0.2243 loss: 3.7213 2022/08/26 00:48:13 - mmengine - INFO - Epoch(train) [255][30/63] lr: 5.6500e-03 eta: 7:02:15 time: 0.3772 data_time: 0.0173 memory: 6760 loss_prob: 2.8633 loss_thr: 0.6230 loss_db: 0.2341 loss: 3.7204 2022/08/26 00:48:15 - mmengine - INFO - Epoch(train) [255][35/63] lr: 5.6500e-03 eta: 7:02:15 time: 0.4092 data_time: 0.0218 memory: 6760 loss_prob: 2.8630 loss_thr: 0.5947 loss_db: 0.2211 loss: 3.6788 2022/08/26 00:48:18 - mmengine - INFO - Epoch(train) [255][40/63] lr: 5.6500e-03 eta: 7:02:15 time: 0.5575 data_time: 0.0616 memory: 6760 loss_prob: 2.8641 loss_thr: 0.6184 loss_db: 0.2134 loss: 3.6959 2022/08/26 00:48:20 - mmengine - INFO - Epoch(train) [255][45/63] lr: 5.6500e-03 eta: 7:02:15 time: 0.5101 data_time: 0.0536 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6280 loss_db: 0.2259 loss: 3.7156 2022/08/26 00:48:22 - mmengine - INFO - Epoch(train) [255][50/63] lr: 5.6500e-03 eta: 7:02:09 time: 0.3728 data_time: 0.0216 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6296 loss_db: 0.2329 loss: 3.7238 2022/08/26 00:48:24 - mmengine - INFO - Epoch(train) [255][55/63] lr: 5.6500e-03 eta: 7:02:09 time: 0.3872 data_time: 0.0182 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6518 loss_db: 0.2376 loss: 3.7504 2022/08/26 00:48:26 - mmengine - INFO - Epoch(train) [255][60/63] lr: 5.6500e-03 eta: 7:02:04 time: 0.3901 data_time: 0.0208 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6361 loss_db: 0.2212 loss: 3.7174 2022/08/26 00:48:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:48:30 - mmengine - INFO - Epoch(train) [256][5/63] lr: 5.6447e-03 eta: 7:02:04 time: 0.5327 data_time: 0.1554 memory: 6760 loss_prob: 2.8561 loss_thr: 0.6599 loss_db: 0.2499 loss: 3.7659 2022/08/26 00:48:33 - mmengine - INFO - Epoch(train) [256][10/63] lr: 5.6447e-03 eta: 7:01:58 time: 0.5513 data_time: 0.1664 memory: 6760 loss_prob: 2.8563 loss_thr: 0.6012 loss_db: 0.2227 loss: 3.6801 2022/08/26 00:48:35 - mmengine - INFO - Epoch(train) [256][15/63] lr: 5.6447e-03 eta: 7:01:58 time: 0.4231 data_time: 0.0241 memory: 6760 loss_prob: 2.8585 loss_thr: 0.5699 loss_db: 0.1933 loss: 3.6217 2022/08/26 00:48:37 - mmengine - INFO - Epoch(train) [256][20/63] lr: 5.6447e-03 eta: 7:01:55 time: 0.4664 data_time: 0.0201 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5908 loss_db: 0.1995 loss: 3.6494 2022/08/26 00:48:39 - mmengine - INFO - Epoch(train) [256][25/63] lr: 5.6447e-03 eta: 7:01:55 time: 0.4436 data_time: 0.0252 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6006 loss_db: 0.2156 loss: 3.6743 2022/08/26 00:48:41 - mmengine - INFO - Epoch(train) [256][30/63] lr: 5.6447e-03 eta: 7:01:49 time: 0.3748 data_time: 0.0209 memory: 6760 loss_prob: 2.8582 loss_thr: 0.5896 loss_db: 0.2175 loss: 3.6654 2022/08/26 00:48:43 - mmengine - INFO - Epoch(train) [256][35/63] lr: 5.6447e-03 eta: 7:01:49 time: 0.3983 data_time: 0.0233 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5891 loss_db: 0.2257 loss: 3.6744 2022/08/26 00:48:45 - mmengine - INFO - Epoch(train) [256][40/63] lr: 5.6447e-03 eta: 7:01:44 time: 0.4043 data_time: 0.0180 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6258 loss_db: 0.2303 loss: 3.7164 2022/08/26 00:48:48 - mmengine - INFO - Epoch(train) [256][45/63] lr: 5.6447e-03 eta: 7:01:44 time: 0.4871 data_time: 0.0230 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6360 loss_db: 0.2237 loss: 3.7193 2022/08/26 00:48:50 - mmengine - INFO - Epoch(train) [256][50/63] lr: 5.6447e-03 eta: 7:01:42 time: 0.4879 data_time: 0.0337 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6039 loss_db: 0.2242 loss: 3.6873 2022/08/26 00:48:52 - mmengine - INFO - Epoch(train) [256][55/63] lr: 5.6447e-03 eta: 7:01:42 time: 0.3809 data_time: 0.0216 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6217 loss_db: 0.2348 loss: 3.7167 2022/08/26 00:48:54 - mmengine - INFO - Epoch(train) [256][60/63] lr: 5.6447e-03 eta: 7:01:36 time: 0.3770 data_time: 0.0163 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6561 loss_db: 0.2399 loss: 3.7563 2022/08/26 00:48:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:48:58 - mmengine - INFO - Epoch(train) [257][5/63] lr: 5.6393e-03 eta: 7:01:36 time: 0.5376 data_time: 0.1425 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6272 loss_db: 0.2658 loss: 3.7535 2022/08/26 00:49:00 - mmengine - INFO - Epoch(train) [257][10/63] lr: 5.6393e-03 eta: 7:01:31 time: 0.5620 data_time: 0.1574 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6134 loss_db: 0.2364 loss: 3.7104 2022/08/26 00:49:02 - mmengine - INFO - Epoch(train) [257][15/63] lr: 5.6393e-03 eta: 7:01:31 time: 0.3746 data_time: 0.0240 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6048 loss_db: 0.2116 loss: 3.6762 2022/08/26 00:49:04 - mmengine - INFO - Epoch(train) [257][20/63] lr: 5.6393e-03 eta: 7:01:25 time: 0.3860 data_time: 0.0184 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6173 loss_db: 0.2193 loss: 3.6968 2022/08/26 00:49:06 - mmengine - INFO - Epoch(train) [257][25/63] lr: 5.6393e-03 eta: 7:01:25 time: 0.3934 data_time: 0.0250 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5947 loss_db: 0.2181 loss: 3.6733 2022/08/26 00:49:09 - mmengine - INFO - Epoch(train) [257][30/63] lr: 5.6393e-03 eta: 7:01:22 time: 0.4636 data_time: 0.0215 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6076 loss_db: 0.2369 loss: 3.7031 2022/08/26 00:49:11 - mmengine - INFO - Epoch(train) [257][35/63] lr: 5.6393e-03 eta: 7:01:22 time: 0.4722 data_time: 0.0250 memory: 6760 loss_prob: 2.8571 loss_thr: 0.6031 loss_db: 0.2324 loss: 3.6926 2022/08/26 00:49:13 - mmengine - INFO - Epoch(train) [257][40/63] lr: 5.6393e-03 eta: 7:01:17 time: 0.3804 data_time: 0.0234 memory: 6760 loss_prob: 2.8563 loss_thr: 0.5915 loss_db: 0.2230 loss: 3.6708 2022/08/26 00:49:14 - mmengine - INFO - Epoch(train) [257][45/63] lr: 5.6393e-03 eta: 7:01:17 time: 0.3768 data_time: 0.0167 memory: 6760 loss_prob: 2.8557 loss_thr: 0.5957 loss_db: 0.2253 loss: 3.6767 2022/08/26 00:49:18 - mmengine - INFO - Epoch(train) [257][50/63] lr: 5.6393e-03 eta: 7:01:15 time: 0.5097 data_time: 0.0288 memory: 6760 loss_prob: 2.8587 loss_thr: 0.5905 loss_db: 0.2231 loss: 3.6722 2022/08/26 00:49:20 - mmengine - INFO - Epoch(train) [257][55/63] lr: 5.6393e-03 eta: 7:01:15 time: 0.5143 data_time: 0.0339 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5985 loss_db: 0.2240 loss: 3.6827 2022/08/26 00:49:22 - mmengine - INFO - Epoch(train) [257][60/63] lr: 5.6393e-03 eta: 7:01:10 time: 0.3969 data_time: 0.0287 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6248 loss_db: 0.2338 loss: 3.7166 2022/08/26 00:49:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:49:26 - mmengine - INFO - Epoch(train) [258][5/63] lr: 5.6339e-03 eta: 7:01:10 time: 0.5319 data_time: 0.1807 memory: 6760 loss_prob: 2.8594 loss_thr: 0.5907 loss_db: 0.2155 loss: 3.6655 2022/08/26 00:49:28 - mmengine - INFO - Epoch(train) [258][10/63] lr: 5.6339e-03 eta: 7:01:05 time: 0.5537 data_time: 0.1874 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5851 loss_db: 0.2170 loss: 3.6626 2022/08/26 00:49:30 - mmengine - INFO - Epoch(train) [258][15/63] lr: 5.6339e-03 eta: 7:01:05 time: 0.3950 data_time: 0.0200 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6190 loss_db: 0.2227 loss: 3.7025 2022/08/26 00:49:32 - mmengine - INFO - Epoch(train) [258][20/63] lr: 5.6339e-03 eta: 7:00:59 time: 0.3956 data_time: 0.0250 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6310 loss_db: 0.2198 loss: 3.7126 2022/08/26 00:49:34 - mmengine - INFO - Epoch(train) [258][25/63] lr: 5.6339e-03 eta: 7:00:59 time: 0.3955 data_time: 0.0230 memory: 6760 loss_prob: 2.8695 loss_thr: 0.6274 loss_db: 0.2369 loss: 3.7339 2022/08/26 00:49:36 - mmengine - INFO - Epoch(train) [258][30/63] lr: 5.6339e-03 eta: 7:00:54 time: 0.3859 data_time: 0.0152 memory: 6760 loss_prob: 2.8696 loss_thr: 0.6192 loss_db: 0.2396 loss: 3.7285 2022/08/26 00:49:40 - mmengine - INFO - Epoch(train) [258][35/63] lr: 5.6339e-03 eta: 7:00:54 time: 0.6105 data_time: 0.0339 memory: 6760 loss_prob: 2.8619 loss_thr: 0.5912 loss_db: 0.2114 loss: 3.6644 2022/08/26 00:49:42 - mmengine - INFO - Epoch(train) [258][40/63] lr: 5.6339e-03 eta: 7:00:56 time: 0.6211 data_time: 0.0348 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5986 loss_db: 0.2237 loss: 3.6822 2022/08/26 00:49:44 - mmengine - INFO - Epoch(train) [258][45/63] lr: 5.6339e-03 eta: 7:00:56 time: 0.4028 data_time: 0.0241 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6132 loss_db: 0.2232 loss: 3.6957 2022/08/26 00:49:46 - mmengine - INFO - Epoch(train) [258][50/63] lr: 5.6339e-03 eta: 7:00:51 time: 0.3977 data_time: 0.0228 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6035 loss_db: 0.2103 loss: 3.6730 2022/08/26 00:49:48 - mmengine - INFO - Epoch(train) [258][55/63] lr: 5.6339e-03 eta: 7:00:51 time: 0.4002 data_time: 0.0284 memory: 6760 loss_prob: 2.8590 loss_thr: 0.5803 loss_db: 0.2123 loss: 3.6517 2022/08/26 00:49:50 - mmengine - INFO - Epoch(train) [258][60/63] lr: 5.6339e-03 eta: 7:00:46 time: 0.3864 data_time: 0.0288 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5960 loss_db: 0.2126 loss: 3.6679 2022/08/26 00:49:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:49:54 - mmengine - INFO - Epoch(train) [259][5/63] lr: 5.6285e-03 eta: 7:00:46 time: 0.4940 data_time: 0.1445 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6455 loss_db: 0.2335 loss: 3.7386 2022/08/26 00:49:57 - mmengine - INFO - Epoch(train) [259][10/63] lr: 5.6285e-03 eta: 7:00:41 time: 0.5906 data_time: 0.1649 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6082 loss_db: 0.2108 loss: 3.6780 2022/08/26 00:49:59 - mmengine - INFO - Epoch(train) [259][15/63] lr: 5.6285e-03 eta: 7:00:41 time: 0.4520 data_time: 0.0325 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6147 loss_db: 0.2226 loss: 3.6959 2022/08/26 00:50:01 - mmengine - INFO - Epoch(train) [259][20/63] lr: 5.6285e-03 eta: 7:00:36 time: 0.3970 data_time: 0.0208 memory: 6760 loss_prob: 2.8584 loss_thr: 0.5991 loss_db: 0.2130 loss: 3.6705 2022/08/26 00:50:03 - mmengine - INFO - Epoch(train) [259][25/63] lr: 5.6285e-03 eta: 7:00:36 time: 0.4205 data_time: 0.0269 memory: 6760 loss_prob: 2.8580 loss_thr: 0.5903 loss_db: 0.2113 loss: 3.6596 2022/08/26 00:50:05 - mmengine - INFO - Epoch(train) [259][30/63] lr: 5.6285e-03 eta: 7:00:31 time: 0.3985 data_time: 0.0178 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6112 loss_db: 0.2151 loss: 3.6856 2022/08/26 00:50:08 - mmengine - INFO - Epoch(train) [259][35/63] lr: 5.6285e-03 eta: 7:00:31 time: 0.5122 data_time: 0.0351 memory: 6760 loss_prob: 2.8610 loss_thr: 0.5806 loss_db: 0.2006 loss: 3.6421 2022/08/26 00:50:10 - mmengine - INFO - Epoch(train) [259][40/63] lr: 5.6285e-03 eta: 7:00:30 time: 0.5177 data_time: 0.0439 memory: 6760 loss_prob: 2.8611 loss_thr: 0.5564 loss_db: 0.1994 loss: 3.6168 2022/08/26 00:50:12 - mmengine - INFO - Epoch(train) [259][45/63] lr: 5.6285e-03 eta: 7:00:30 time: 0.3794 data_time: 0.0220 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5604 loss_db: 0.2061 loss: 3.6267 2022/08/26 00:50:14 - mmengine - INFO - Epoch(train) [259][50/63] lr: 5.6285e-03 eta: 7:00:24 time: 0.3777 data_time: 0.0218 memory: 6760 loss_prob: 2.8594 loss_thr: 0.5874 loss_db: 0.2192 loss: 3.6660 2022/08/26 00:50:16 - mmengine - INFO - Epoch(train) [259][55/63] lr: 5.6285e-03 eta: 7:00:24 time: 0.3837 data_time: 0.0212 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6143 loss_db: 0.2169 loss: 3.6911 2022/08/26 00:50:18 - mmengine - INFO - Epoch(train) [259][60/63] lr: 5.6285e-03 eta: 7:00:19 time: 0.4177 data_time: 0.0310 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6067 loss_db: 0.2054 loss: 3.6720 2022/08/26 00:50:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:50:23 - mmengine - INFO - Epoch(train) [260][5/63] lr: 5.6231e-03 eta: 7:00:19 time: 0.5650 data_time: 0.2029 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6063 loss_db: 0.2367 loss: 3.7045 2022/08/26 00:50:25 - mmengine - INFO - Epoch(train) [260][10/63] lr: 5.6231e-03 eta: 7:00:15 time: 0.5814 data_time: 0.2044 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5949 loss_db: 0.2137 loss: 3.6685 2022/08/26 00:50:27 - mmengine - INFO - Epoch(train) [260][15/63] lr: 5.6231e-03 eta: 7:00:15 time: 0.3863 data_time: 0.0163 memory: 6760 loss_prob: 2.8585 loss_thr: 0.5789 loss_db: 0.2067 loss: 3.6441 2022/08/26 00:50:29 - mmengine - INFO - Epoch(train) [260][20/63] lr: 5.6231e-03 eta: 7:00:09 time: 0.3922 data_time: 0.0290 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6137 loss_db: 0.2334 loss: 3.7054 2022/08/26 00:50:31 - mmengine - INFO - Epoch(train) [260][25/63] lr: 5.6231e-03 eta: 7:00:09 time: 0.3811 data_time: 0.0255 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6335 loss_db: 0.2367 loss: 3.7304 2022/08/26 00:50:33 - mmengine - INFO - Epoch(train) [260][30/63] lr: 5.6231e-03 eta: 7:00:04 time: 0.3798 data_time: 0.0158 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6160 loss_db: 0.2278 loss: 3.7043 2022/08/26 00:50:34 - mmengine - INFO - Epoch(train) [260][35/63] lr: 5.6231e-03 eta: 7:00:04 time: 0.3794 data_time: 0.0236 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6175 loss_db: 0.2366 loss: 3.7140 2022/08/26 00:50:38 - mmengine - INFO - Epoch(train) [260][40/63] lr: 5.6231e-03 eta: 7:00:05 time: 0.5709 data_time: 0.0176 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6039 loss_db: 0.2218 loss: 3.6849 2022/08/26 00:50:41 - mmengine - INFO - Epoch(train) [260][45/63] lr: 5.6231e-03 eta: 7:00:05 time: 0.6309 data_time: 0.0320 memory: 6760 loss_prob: 2.8590 loss_thr: 0.5883 loss_db: 0.2004 loss: 3.6477 2022/08/26 00:50:43 - mmengine - INFO - Epoch(train) [260][50/63] lr: 5.6231e-03 eta: 7:00:01 time: 0.4439 data_time: 0.0419 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5937 loss_db: 0.2025 loss: 3.6567 2022/08/26 00:50:45 - mmengine - INFO - Epoch(train) [260][55/63] lr: 5.6231e-03 eta: 7:00:01 time: 0.3906 data_time: 0.0198 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6259 loss_db: 0.2257 loss: 3.7125 2022/08/26 00:50:47 - mmengine - INFO - Epoch(train) [260][60/63] lr: 5.6231e-03 eta: 6:59:56 time: 0.4012 data_time: 0.0202 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6244 loss_db: 0.2379 loss: 3.7234 2022/08/26 00:50:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:50:48 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/08/26 00:50:52 - mmengine - INFO - Epoch(val) [260][5/500] eta: 6:59:56 time: 0.2475 data_time: 0.0269 memory: 6760 2022/08/26 00:50:53 - mmengine - INFO - Epoch(val) [260][10/500] eta: 0:02:23 time: 0.2925 data_time: 0.0263 memory: 425 2022/08/26 00:50:55 - mmengine - INFO - Epoch(val) [260][15/500] eta: 0:02:23 time: 0.2503 data_time: 0.0030 memory: 425 2022/08/26 00:50:56 - mmengine - INFO - Epoch(val) [260][20/500] eta: 0:01:58 time: 0.2468 data_time: 0.0018 memory: 425 2022/08/26 00:50:57 - mmengine - INFO - Epoch(val) [260][25/500] eta: 0:01:58 time: 0.2494 data_time: 0.0028 memory: 425 2022/08/26 00:50:58 - mmengine - INFO - Epoch(val) [260][30/500] eta: 0:01:56 time: 0.2488 data_time: 0.0031 memory: 425 2022/08/26 00:51:00 - mmengine - INFO - Epoch(val) [260][35/500] eta: 0:01:56 time: 0.2346 data_time: 0.0023 memory: 425 2022/08/26 00:51:01 - mmengine - INFO - Epoch(val) [260][40/500] eta: 0:01:59 time: 0.2590 data_time: 0.0021 memory: 425 2022/08/26 00:51:02 - mmengine - INFO - Epoch(val) [260][45/500] eta: 0:01:59 time: 0.2634 data_time: 0.0022 memory: 425 2022/08/26 00:51:03 - mmengine - INFO - Epoch(val) [260][50/500] eta: 0:01:39 time: 0.2219 data_time: 0.0020 memory: 425 2022/08/26 00:51:05 - mmengine - INFO - Epoch(val) [260][55/500] eta: 0:01:39 time: 0.2386 data_time: 0.0019 memory: 425 2022/08/26 00:51:06 - mmengine - INFO - Epoch(val) [260][60/500] eta: 0:01:45 time: 0.2394 data_time: 0.0019 memory: 425 2022/08/26 00:51:09 - mmengine - INFO - Epoch(val) [260][65/500] eta: 0:01:45 time: 0.4050 data_time: 0.0289 memory: 425 2022/08/26 00:51:10 - mmengine - INFO - Epoch(val) [260][70/500] eta: 0:02:53 time: 0.4033 data_time: 0.0308 memory: 425 2022/08/26 00:51:11 - mmengine - INFO - Epoch(val) [260][75/500] eta: 0:02:53 time: 0.1966 data_time: 0.0042 memory: 425 2022/08/26 00:51:12 - mmengine - INFO - Epoch(val) [260][80/500] eta: 0:01:27 time: 0.2073 data_time: 0.0023 memory: 425 2022/08/26 00:51:13 - mmengine - INFO - Epoch(val) [260][85/500] eta: 0:01:27 time: 0.2055 data_time: 0.0018 memory: 425 2022/08/26 00:51:14 - mmengine - INFO - Epoch(val) [260][90/500] eta: 0:01:35 time: 0.2338 data_time: 0.0020 memory: 425 2022/08/26 00:51:15 - mmengine - INFO - Epoch(val) [260][95/500] eta: 0:01:35 time: 0.2658 data_time: 0.0023 memory: 425 2022/08/26 00:51:17 - mmengine - INFO - Epoch(val) [260][100/500] eta: 0:01:43 time: 0.2576 data_time: 0.0024 memory: 425 2022/08/26 00:51:18 - mmengine - INFO - Epoch(val) [260][105/500] eta: 0:01:43 time: 0.2606 data_time: 0.0033 memory: 425 2022/08/26 00:51:19 - mmengine - INFO - Epoch(val) [260][110/500] eta: 0:01:45 time: 0.2707 data_time: 0.0041 memory: 425 2022/08/26 00:51:20 - mmengine - INFO - Epoch(val) [260][115/500] eta: 0:01:45 time: 0.2524 data_time: 0.0030 memory: 425 2022/08/26 00:51:22 - mmengine - INFO - Epoch(val) [260][120/500] eta: 0:01:25 time: 0.2253 data_time: 0.0021 memory: 425 2022/08/26 00:51:23 - mmengine - INFO - Epoch(val) [260][125/500] eta: 0:01:25 time: 0.2474 data_time: 0.0023 memory: 425 2022/08/26 00:51:24 - mmengine - INFO - Epoch(val) [260][130/500] eta: 0:01:21 time: 0.2200 data_time: 0.0022 memory: 425 2022/08/26 00:51:25 - mmengine - INFO - Epoch(val) [260][135/500] eta: 0:01:21 time: 0.1787 data_time: 0.0019 memory: 425 2022/08/26 00:51:26 - mmengine - INFO - Epoch(val) [260][140/500] eta: 0:01:24 time: 0.2354 data_time: 0.0020 memory: 425 2022/08/26 00:51:28 - mmengine - INFO - Epoch(val) [260][145/500] eta: 0:01:24 time: 0.3737 data_time: 0.0120 memory: 425 2022/08/26 00:51:30 - mmengine - INFO - Epoch(val) [260][150/500] eta: 0:02:09 time: 0.3706 data_time: 0.0142 memory: 425 2022/08/26 00:51:31 - mmengine - INFO - Epoch(val) [260][155/500] eta: 0:02:09 time: 0.2852 data_time: 0.0042 memory: 425 2022/08/26 00:51:32 - mmengine - INFO - Epoch(val) [260][160/500] eta: 0:01:24 time: 0.2477 data_time: 0.0018 memory: 425 2022/08/26 00:51:34 - mmengine - INFO - Epoch(val) [260][165/500] eta: 0:01:24 time: 0.2419 data_time: 0.0020 memory: 425 2022/08/26 00:51:35 - mmengine - INFO - Epoch(val) [260][170/500] eta: 0:01:32 time: 0.2814 data_time: 0.0021 memory: 425 2022/08/26 00:51:36 - mmengine - INFO - Epoch(val) [260][175/500] eta: 0:01:32 time: 0.2504 data_time: 0.0020 memory: 425 2022/08/26 00:51:38 - mmengine - INFO - Epoch(val) [260][180/500] eta: 0:01:27 time: 0.2729 data_time: 0.0039 memory: 425 2022/08/26 00:51:39 - mmengine - INFO - Epoch(val) [260][185/500] eta: 0:01:27 time: 0.3080 data_time: 0.0042 memory: 425 2022/08/26 00:51:41 - mmengine - INFO - Epoch(val) [260][190/500] eta: 0:01:23 time: 0.2696 data_time: 0.0022 memory: 425 2022/08/26 00:51:42 - mmengine - INFO - Epoch(val) [260][195/500] eta: 0:01:23 time: 0.2750 data_time: 0.0019 memory: 425 2022/08/26 00:51:44 - mmengine - INFO - Epoch(val) [260][200/500] eta: 0:01:28 time: 0.2954 data_time: 0.0019 memory: 425 2022/08/26 00:51:45 - mmengine - INFO - Epoch(val) [260][205/500] eta: 0:01:28 time: 0.2882 data_time: 0.0019 memory: 425 2022/08/26 00:51:46 - mmengine - INFO - Epoch(val) [260][210/500] eta: 0:01:02 time: 0.2147 data_time: 0.0018 memory: 425 2022/08/26 00:51:48 - mmengine - INFO - Epoch(val) [260][215/500] eta: 0:01:02 time: 0.3433 data_time: 0.0542 memory: 425 2022/08/26 00:51:49 - mmengine - INFO - Epoch(val) [260][220/500] eta: 0:01:42 time: 0.3669 data_time: 0.0564 memory: 425 2022/08/26 00:51:51 - mmengine - INFO - Epoch(val) [260][225/500] eta: 0:01:42 time: 0.2247 data_time: 0.0040 memory: 425 2022/08/26 00:51:52 - mmengine - INFO - Epoch(val) [260][230/500] eta: 0:01:02 time: 0.2312 data_time: 0.0022 memory: 425 2022/08/26 00:51:53 - mmengine - INFO - Epoch(val) [260][235/500] eta: 0:01:02 time: 0.2587 data_time: 0.0022 memory: 425 2022/08/26 00:51:54 - mmengine - INFO - Epoch(val) [260][240/500] eta: 0:01:10 time: 0.2724 data_time: 0.0019 memory: 425 2022/08/26 00:51:56 - mmengine - INFO - Epoch(val) [260][245/500] eta: 0:01:10 time: 0.2309 data_time: 0.0019 memory: 425 2022/08/26 00:51:57 - mmengine - INFO - Epoch(val) [260][250/500] eta: 0:01:00 time: 0.2422 data_time: 0.0030 memory: 425 2022/08/26 00:51:58 - mmengine - INFO - Epoch(val) [260][255/500] eta: 0:01:00 time: 0.2316 data_time: 0.0038 memory: 425 2022/08/26 00:51:59 - mmengine - INFO - Epoch(val) [260][260/500] eta: 0:00:51 time: 0.2140 data_time: 0.0027 memory: 425 2022/08/26 00:52:00 - mmengine - INFO - Epoch(val) [260][265/500] eta: 0:00:51 time: 0.2016 data_time: 0.0018 memory: 425 2022/08/26 00:52:01 - mmengine - INFO - Epoch(val) [260][270/500] eta: 0:00:50 time: 0.2209 data_time: 0.0018 memory: 425 2022/08/26 00:52:02 - mmengine - INFO - Epoch(val) [260][275/500] eta: 0:00:50 time: 0.2322 data_time: 0.0018 memory: 425 2022/08/26 00:52:04 - mmengine - INFO - Epoch(val) [260][280/500] eta: 0:00:53 time: 0.2433 data_time: 0.0020 memory: 425 2022/08/26 00:52:05 - mmengine - INFO - Epoch(val) [260][285/500] eta: 0:00:53 time: 0.2468 data_time: 0.0020 memory: 425 2022/08/26 00:52:06 - mmengine - INFO - Epoch(val) [260][290/500] eta: 0:00:45 time: 0.2175 data_time: 0.0018 memory: 425 2022/08/26 00:52:08 - mmengine - INFO - Epoch(val) [260][295/500] eta: 0:00:45 time: 0.3169 data_time: 0.0099 memory: 425 2022/08/26 00:52:09 - mmengine - INFO - Epoch(val) [260][300/500] eta: 0:01:04 time: 0.3200 data_time: 0.0118 memory: 425 2022/08/26 00:52:10 - mmengine - INFO - Epoch(val) [260][305/500] eta: 0:01:04 time: 0.2418 data_time: 0.0042 memory: 425 2022/08/26 00:52:12 - mmengine - INFO - Epoch(val) [260][310/500] eta: 0:00:47 time: 0.2509 data_time: 0.0023 memory: 425 2022/08/26 00:52:13 - mmengine - INFO - Epoch(val) [260][315/500] eta: 0:00:47 time: 0.2619 data_time: 0.0020 memory: 425 2022/08/26 00:52:14 - mmengine - INFO - Epoch(val) [260][320/500] eta: 0:00:45 time: 0.2502 data_time: 0.0021 memory: 425 2022/08/26 00:52:16 - mmengine - INFO - Epoch(val) [260][325/500] eta: 0:00:45 time: 0.3102 data_time: 0.0021 memory: 425 2022/08/26 00:52:17 - mmengine - INFO - Epoch(val) [260][330/500] eta: 0:00:56 time: 0.3338 data_time: 0.0068 memory: 425 2022/08/26 00:52:19 - mmengine - INFO - Epoch(val) [260][335/500] eta: 0:00:56 time: 0.2992 data_time: 0.0072 memory: 425 2022/08/26 00:52:20 - mmengine - INFO - Epoch(val) [260][340/500] eta: 0:00:49 time: 0.3067 data_time: 0.0025 memory: 425 2022/08/26 00:52:21 - mmengine - INFO - Epoch(val) [260][345/500] eta: 0:00:49 time: 0.2514 data_time: 0.0019 memory: 425 2022/08/26 00:52:23 - mmengine - INFO - Epoch(val) [260][350/500] eta: 0:00:43 time: 0.2886 data_time: 0.0021 memory: 425 2022/08/26 00:52:24 - mmengine - INFO - Epoch(val) [260][355/500] eta: 0:00:43 time: 0.2854 data_time: 0.0021 memory: 425 2022/08/26 00:52:25 - mmengine - INFO - Epoch(val) [260][360/500] eta: 0:00:29 time: 0.2131 data_time: 0.0019 memory: 425 2022/08/26 00:52:28 - mmengine - INFO - Epoch(val) [260][365/500] eta: 0:00:29 time: 0.3578 data_time: 0.0089 memory: 425 2022/08/26 00:52:29 - mmengine - INFO - Epoch(val) [260][370/500] eta: 0:00:49 time: 0.3807 data_time: 0.0267 memory: 425 2022/08/26 00:52:30 - mmengine - INFO - Epoch(val) [260][375/500] eta: 0:00:49 time: 0.2363 data_time: 0.0196 memory: 425 2022/08/26 00:52:32 - mmengine - INFO - Epoch(val) [260][380/500] eta: 0:00:28 time: 0.2396 data_time: 0.0018 memory: 425 2022/08/26 00:52:33 - mmengine - INFO - Epoch(val) [260][385/500] eta: 0:00:28 time: 0.2344 data_time: 0.0020 memory: 425 2022/08/26 00:52:34 - mmengine - INFO - Epoch(val) [260][390/500] eta: 0:00:22 time: 0.2085 data_time: 0.0020 memory: 425 2022/08/26 00:52:35 - mmengine - INFO - Epoch(val) [260][395/500] eta: 0:00:22 time: 0.2261 data_time: 0.0018 memory: 425 2022/08/26 00:52:36 - mmengine - INFO - Epoch(val) [260][400/500] eta: 0:00:24 time: 0.2492 data_time: 0.0018 memory: 425 2022/08/26 00:52:38 - mmengine - INFO - Epoch(val) [260][405/500] eta: 0:00:24 time: 0.2833 data_time: 0.0026 memory: 425 2022/08/26 00:52:39 - mmengine - INFO - Epoch(val) [260][410/500] eta: 0:00:21 time: 0.2395 data_time: 0.0028 memory: 425 2022/08/26 00:52:40 - mmengine - INFO - Epoch(val) [260][415/500] eta: 0:00:21 time: 0.1905 data_time: 0.0020 memory: 425 2022/08/26 00:52:41 - mmengine - INFO - Epoch(val) [260][420/500] eta: 0:00:14 time: 0.1873 data_time: 0.0018 memory: 425 2022/08/26 00:52:42 - mmengine - INFO - Epoch(val) [260][425/500] eta: 0:00:14 time: 0.2340 data_time: 0.0018 memory: 425 2022/08/26 00:52:43 - mmengine - INFO - Epoch(val) [260][430/500] eta: 0:00:17 time: 0.2567 data_time: 0.0019 memory: 425 2022/08/26 00:52:44 - mmengine - INFO - Epoch(val) [260][435/500] eta: 0:00:17 time: 0.2188 data_time: 0.0019 memory: 425 2022/08/26 00:52:45 - mmengine - INFO - Epoch(val) [260][440/500] eta: 0:00:14 time: 0.2378 data_time: 0.0018 memory: 425 2022/08/26 00:52:49 - mmengine - INFO - Epoch(val) [260][445/500] eta: 0:00:14 time: 0.4589 data_time: 0.0181 memory: 425 2022/08/26 00:52:50 - mmengine - INFO - Epoch(val) [260][450/500] eta: 0:00:22 time: 0.4600 data_time: 0.0207 memory: 425 2022/08/26 00:52:51 - mmengine - INFO - Epoch(val) [260][455/500] eta: 0:00:22 time: 0.2457 data_time: 0.0044 memory: 425 2022/08/26 00:52:52 - mmengine - INFO - Epoch(val) [260][460/500] eta: 0:00:08 time: 0.2092 data_time: 0.0018 memory: 425 2022/08/26 00:52:53 - mmengine - INFO - Epoch(val) [260][465/500] eta: 0:00:08 time: 0.1995 data_time: 0.0018 memory: 425 2022/08/26 00:52:54 - mmengine - INFO - Epoch(val) [260][470/500] eta: 0:00:06 time: 0.2141 data_time: 0.0018 memory: 425 2022/08/26 00:52:55 - mmengine - INFO - Epoch(val) [260][475/500] eta: 0:00:06 time: 0.2254 data_time: 0.0020 memory: 425 2022/08/26 00:52:57 - mmengine - INFO - Epoch(val) [260][480/500] eta: 0:00:04 time: 0.2294 data_time: 0.0020 memory: 425 2022/08/26 00:52:58 - mmengine - INFO - Epoch(val) [260][485/500] eta: 0:00:04 time: 0.2476 data_time: 0.0037 memory: 425 2022/08/26 00:52:59 - mmengine - INFO - Epoch(val) [260][490/500] eta: 0:00:02 time: 0.2399 data_time: 0.0036 memory: 425 2022/08/26 00:53:00 - mmengine - INFO - Epoch(val) [260][495/500] eta: 0:00:02 time: 0.2268 data_time: 0.0020 memory: 425 2022/08/26 00:53:01 - mmengine - INFO - Epoch(val) [260][500/500] eta: 0:00:00 time: 0.2059 data_time: 0.0020 memory: 425 2022/08/26 00:53:01 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 00:53:01 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0053, precision: 0.0001, hmean: 0.0003 2022/08/26 00:53:01 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:53:01 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:53:01 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:53:01 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:53:01 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:53:01 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 00:53:01 - mmengine - INFO - Epoch(val) [260][500/500] icdar/precision: 0.0001 icdar/recall: 0.0053 icdar/hmean: 0.0003 2022/08/26 00:53:06 - mmengine - INFO - Epoch(train) [261][5/63] lr: 5.6177e-03 eta: 0:00:00 time: 0.6768 data_time: 0.2550 memory: 6760 loss_prob: 2.8620 loss_thr: 0.5453 loss_db: 0.2128 loss: 3.6200 2022/08/26 00:53:08 - mmengine - INFO - Epoch(train) [261][10/63] lr: 5.6177e-03 eta: 6:59:55 time: 0.6754 data_time: 0.2552 memory: 6760 loss_prob: 2.8627 loss_thr: 0.5670 loss_db: 0.2204 loss: 3.6501 2022/08/26 00:53:10 - mmengine - INFO - Epoch(train) [261][15/63] lr: 5.6177e-03 eta: 6:59:55 time: 0.3780 data_time: 0.0188 memory: 6760 loss_prob: 2.8640 loss_thr: 0.6007 loss_db: 0.2073 loss: 3.6720 2022/08/26 00:53:12 - mmengine - INFO - Epoch(train) [261][20/63] lr: 5.6177e-03 eta: 6:59:49 time: 0.3794 data_time: 0.0154 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6101 loss_db: 0.2098 loss: 3.6826 2022/08/26 00:53:14 - mmengine - INFO - Epoch(train) [261][25/63] lr: 5.6177e-03 eta: 6:59:49 time: 0.3903 data_time: 0.0275 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6011 loss_db: 0.2188 loss: 3.6794 2022/08/26 00:53:16 - mmengine - INFO - Epoch(train) [261][30/63] lr: 5.6177e-03 eta: 6:59:44 time: 0.3964 data_time: 0.0290 memory: 6760 loss_prob: 2.8577 loss_thr: 0.5826 loss_db: 0.2020 loss: 3.6423 2022/08/26 00:53:20 - mmengine - INFO - Epoch(train) [261][35/63] lr: 5.6177e-03 eta: 6:59:44 time: 0.6025 data_time: 0.0330 memory: 6760 loss_prob: 2.8573 loss_thr: 0.6052 loss_db: 0.2167 loss: 3.6792 2022/08/26 00:53:22 - mmengine - INFO - Epoch(train) [261][40/63] lr: 5.6177e-03 eta: 6:59:46 time: 0.6009 data_time: 0.0384 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6254 loss_db: 0.2210 loss: 3.7048 2022/08/26 00:53:24 - mmengine - INFO - Epoch(train) [261][45/63] lr: 5.6177e-03 eta: 6:59:46 time: 0.3858 data_time: 0.0280 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6389 loss_db: 0.2271 loss: 3.7255 2022/08/26 00:53:26 - mmengine - INFO - Epoch(train) [261][50/63] lr: 5.6177e-03 eta: 6:59:40 time: 0.3803 data_time: 0.0249 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6263 loss_db: 0.2216 loss: 3.7082 2022/08/26 00:53:28 - mmengine - INFO - Epoch(train) [261][55/63] lr: 5.6177e-03 eta: 6:59:40 time: 0.3961 data_time: 0.0236 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6167 loss_db: 0.2249 loss: 3.7017 2022/08/26 00:53:29 - mmengine - INFO - Epoch(train) [261][60/63] lr: 5.6177e-03 eta: 6:59:34 time: 0.3929 data_time: 0.0218 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6242 loss_db: 0.2242 loss: 3.7096 2022/08/26 00:53:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:53:34 - mmengine - INFO - Epoch(train) [262][5/63] lr: 5.6124e-03 eta: 6:59:34 time: 0.5026 data_time: 0.1534 memory: 6760 loss_prob: 2.8640 loss_thr: 0.6283 loss_db: 0.2320 loss: 3.7243 2022/08/26 00:53:36 - mmengine - INFO - Epoch(train) [262][10/63] lr: 5.6124e-03 eta: 6:59:28 time: 0.5203 data_time: 0.1642 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6242 loss_db: 0.2342 loss: 3.7214 2022/08/26 00:53:38 - mmengine - INFO - Epoch(train) [262][15/63] lr: 5.6124e-03 eta: 6:59:28 time: 0.4617 data_time: 0.0254 memory: 6760 loss_prob: 2.8621 loss_thr: 0.5868 loss_db: 0.1983 loss: 3.6472 2022/08/26 00:53:40 - mmengine - INFO - Epoch(train) [262][20/63] lr: 5.6124e-03 eta: 6:59:24 time: 0.4498 data_time: 0.0221 memory: 6760 loss_prob: 2.8640 loss_thr: 0.6282 loss_db: 0.2333 loss: 3.7255 2022/08/26 00:53:42 - mmengine - INFO - Epoch(train) [262][25/63] lr: 5.6124e-03 eta: 6:59:24 time: 0.3795 data_time: 0.0206 memory: 6760 loss_prob: 2.8633 loss_thr: 0.6499 loss_db: 0.2713 loss: 3.7845 2022/08/26 00:53:44 - mmengine - INFO - Epoch(train) [262][30/63] lr: 5.6124e-03 eta: 6:59:18 time: 0.3746 data_time: 0.0157 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6404 loss_db: 0.2574 loss: 3.7588 2022/08/26 00:53:46 - mmengine - INFO - Epoch(train) [262][35/63] lr: 5.6124e-03 eta: 6:59:18 time: 0.3836 data_time: 0.0281 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6459 loss_db: 0.2301 loss: 3.7355 2022/08/26 00:53:49 - mmengine - INFO - Epoch(train) [262][40/63] lr: 5.6124e-03 eta: 6:59:17 time: 0.5201 data_time: 0.0263 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6057 loss_db: 0.2138 loss: 3.6784 2022/08/26 00:53:51 - mmengine - INFO - Epoch(train) [262][45/63] lr: 5.6124e-03 eta: 6:59:17 time: 0.5309 data_time: 0.0217 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5648 loss_db: 0.2019 loss: 3.6271 2022/08/26 00:53:53 - mmengine - INFO - Epoch(train) [262][50/63] lr: 5.6124e-03 eta: 6:59:12 time: 0.4022 data_time: 0.0259 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6016 loss_db: 0.2151 loss: 3.6775 2022/08/26 00:53:55 - mmengine - INFO - Epoch(train) [262][55/63] lr: 5.6124e-03 eta: 6:59:12 time: 0.3687 data_time: 0.0155 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6085 loss_db: 0.2162 loss: 3.6844 2022/08/26 00:53:57 - mmengine - INFO - Epoch(train) [262][60/63] lr: 5.6124e-03 eta: 6:59:07 time: 0.3916 data_time: 0.0202 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5895 loss_db: 0.2207 loss: 3.6693 2022/08/26 00:53:58 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:54:02 - mmengine - INFO - Epoch(train) [263][5/63] lr: 5.6070e-03 eta: 6:59:07 time: 0.5538 data_time: 0.1621 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5906 loss_db: 0.2050 loss: 3.6551 2022/08/26 00:54:04 - mmengine - INFO - Epoch(train) [263][10/63] lr: 5.6070e-03 eta: 6:59:00 time: 0.5328 data_time: 0.1723 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5905 loss_db: 0.2076 loss: 3.6580 2022/08/26 00:54:06 - mmengine - INFO - Epoch(train) [263][15/63] lr: 5.6070e-03 eta: 6:59:00 time: 0.3756 data_time: 0.0206 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5811 loss_db: 0.2244 loss: 3.6654 2022/08/26 00:54:08 - mmengine - INFO - Epoch(train) [263][20/63] lr: 5.6070e-03 eta: 6:58:55 time: 0.3879 data_time: 0.0215 memory: 6760 loss_prob: 2.8609 loss_thr: 0.5740 loss_db: 0.2260 loss: 3.6609 2022/08/26 00:54:10 - mmengine - INFO - Epoch(train) [263][25/63] lr: 5.6070e-03 eta: 6:58:55 time: 0.4346 data_time: 0.0286 memory: 6760 loss_prob: 2.8611 loss_thr: 0.5911 loss_db: 0.2266 loss: 3.6788 2022/08/26 00:54:12 - mmengine - INFO - Epoch(train) [263][30/63] lr: 5.6070e-03 eta: 6:58:51 time: 0.4396 data_time: 0.0316 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6016 loss_db: 0.2258 loss: 3.6878 2022/08/26 00:54:14 - mmengine - INFO - Epoch(train) [263][35/63] lr: 5.6070e-03 eta: 6:58:51 time: 0.3809 data_time: 0.0241 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5845 loss_db: 0.2068 loss: 3.6519 2022/08/26 00:54:16 - mmengine - INFO - Epoch(train) [263][40/63] lr: 5.6070e-03 eta: 6:58:45 time: 0.3628 data_time: 0.0171 memory: 6760 loss_prob: 2.8597 loss_thr: 0.5853 loss_db: 0.2113 loss: 3.6562 2022/08/26 00:54:18 - mmengine - INFO - Epoch(train) [263][45/63] lr: 5.6070e-03 eta: 6:58:45 time: 0.4598 data_time: 0.0320 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5997 loss_db: 0.2174 loss: 3.6770 2022/08/26 00:54:20 - mmengine - INFO - Epoch(train) [263][50/63] lr: 5.6070e-03 eta: 6:58:42 time: 0.4600 data_time: 0.0328 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6308 loss_db: 0.2154 loss: 3.7082 2022/08/26 00:54:22 - mmengine - INFO - Epoch(train) [263][55/63] lr: 5.6070e-03 eta: 6:58:42 time: 0.3856 data_time: 0.0256 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6147 loss_db: 0.2143 loss: 3.6895 2022/08/26 00:54:24 - mmengine - INFO - Epoch(train) [263][60/63] lr: 5.6070e-03 eta: 6:58:36 time: 0.3868 data_time: 0.0211 memory: 6760 loss_prob: 2.8583 loss_thr: 0.5742 loss_db: 0.2218 loss: 3.6544 2022/08/26 00:54:25 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:54:29 - mmengine - INFO - Epoch(train) [264][5/63] lr: 5.6016e-03 eta: 6:58:36 time: 0.5277 data_time: 0.1492 memory: 6760 loss_prob: 2.8608 loss_thr: 0.5992 loss_db: 0.2271 loss: 3.6872 2022/08/26 00:54:30 - mmengine - INFO - Epoch(train) [264][10/63] lr: 5.6016e-03 eta: 6:58:30 time: 0.5409 data_time: 0.1554 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5937 loss_db: 0.2270 loss: 3.6812 2022/08/26 00:54:32 - mmengine - INFO - Epoch(train) [264][15/63] lr: 5.6016e-03 eta: 6:58:30 time: 0.3845 data_time: 0.0224 memory: 6760 loss_prob: 2.8588 loss_thr: 0.5884 loss_db: 0.2194 loss: 3.6667 2022/08/26 00:54:34 - mmengine - INFO - Epoch(train) [264][20/63] lr: 5.6016e-03 eta: 6:58:24 time: 0.3892 data_time: 0.0174 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6105 loss_db: 0.2103 loss: 3.6799 2022/08/26 00:54:36 - mmengine - INFO - Epoch(train) [264][25/63] lr: 5.6016e-03 eta: 6:58:24 time: 0.3853 data_time: 0.0241 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6060 loss_db: 0.2162 loss: 3.6812 2022/08/26 00:54:40 - mmengine - INFO - Epoch(train) [264][30/63] lr: 5.6016e-03 eta: 6:58:26 time: 0.5920 data_time: 0.0381 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6078 loss_db: 0.2274 loss: 3.6932 2022/08/26 00:54:42 - mmengine - INFO - Epoch(train) [264][35/63] lr: 5.6016e-03 eta: 6:58:26 time: 0.6075 data_time: 0.0442 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6360 loss_db: 0.2261 loss: 3.7208 2022/08/26 00:54:44 - mmengine - INFO - Epoch(train) [264][40/63] lr: 5.6016e-03 eta: 6:58:21 time: 0.4010 data_time: 0.0277 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6441 loss_db: 0.2222 loss: 3.7248 2022/08/26 00:54:46 - mmengine - INFO - Epoch(train) [264][45/63] lr: 5.6016e-03 eta: 6:58:21 time: 0.3904 data_time: 0.0163 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6245 loss_db: 0.2275 loss: 3.7102 2022/08/26 00:54:48 - mmengine - INFO - Epoch(train) [264][50/63] lr: 5.6016e-03 eta: 6:58:15 time: 0.3819 data_time: 0.0229 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6132 loss_db: 0.2288 loss: 3.7003 2022/08/26 00:54:50 - mmengine - INFO - Epoch(train) [264][55/63] lr: 5.6016e-03 eta: 6:58:15 time: 0.3683 data_time: 0.0202 memory: 6760 loss_prob: 2.8584 loss_thr: 0.6236 loss_db: 0.2386 loss: 3.7206 2022/08/26 00:54:52 - mmengine - INFO - Epoch(train) [264][60/63] lr: 5.6016e-03 eta: 6:58:09 time: 0.3729 data_time: 0.0173 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6285 loss_db: 0.2428 loss: 3.7307 2022/08/26 00:54:53 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:54:56 - mmengine - INFO - Epoch(train) [265][5/63] lr: 5.5962e-03 eta: 6:58:09 time: 0.5032 data_time: 0.1439 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6301 loss_db: 0.2151 loss: 3.7047 2022/08/26 00:54:59 - mmengine - INFO - Epoch(train) [265][10/63] lr: 5.5962e-03 eta: 6:58:05 time: 0.6077 data_time: 0.1599 memory: 6760 loss_prob: 2.8574 loss_thr: 0.6237 loss_db: 0.2141 loss: 3.6952 2022/08/26 00:55:01 - mmengine - INFO - Epoch(train) [265][15/63] lr: 5.5962e-03 eta: 6:58:05 time: 0.4685 data_time: 0.0314 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6281 loss_db: 0.2200 loss: 3.7063 2022/08/26 00:55:03 - mmengine - INFO - Epoch(train) [265][20/63] lr: 5.5962e-03 eta: 6:57:59 time: 0.3698 data_time: 0.0141 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6096 loss_db: 0.2170 loss: 3.6857 2022/08/26 00:55:05 - mmengine - INFO - Epoch(train) [265][25/63] lr: 5.5962e-03 eta: 6:57:59 time: 0.3946 data_time: 0.0270 memory: 6760 loss_prob: 2.8594 loss_thr: 0.5809 loss_db: 0.2049 loss: 3.6451 2022/08/26 00:55:07 - mmengine - INFO - Epoch(train) [265][30/63] lr: 5.5962e-03 eta: 6:57:54 time: 0.3978 data_time: 0.0248 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5811 loss_db: 0.2023 loss: 3.6436 2022/08/26 00:55:10 - mmengine - INFO - Epoch(train) [265][35/63] lr: 5.5962e-03 eta: 6:57:54 time: 0.4769 data_time: 0.0427 memory: 6760 loss_prob: 2.8608 loss_thr: 0.5833 loss_db: 0.2105 loss: 3.6546 2022/08/26 00:55:11 - mmengine - INFO - Epoch(train) [265][40/63] lr: 5.5962e-03 eta: 6:57:51 time: 0.4747 data_time: 0.0445 memory: 6760 loss_prob: 2.8608 loss_thr: 0.5692 loss_db: 0.2040 loss: 3.6340 2022/08/26 00:55:13 - mmengine - INFO - Epoch(train) [265][45/63] lr: 5.5962e-03 eta: 6:57:51 time: 0.3792 data_time: 0.0189 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5880 loss_db: 0.2103 loss: 3.6588 2022/08/26 00:55:15 - mmengine - INFO - Epoch(train) [265][50/63] lr: 5.5962e-03 eta: 6:57:46 time: 0.3859 data_time: 0.0284 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6377 loss_db: 0.2248 loss: 3.7230 2022/08/26 00:55:18 - mmengine - INFO - Epoch(train) [265][55/63] lr: 5.5962e-03 eta: 6:57:46 time: 0.4425 data_time: 0.0406 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6375 loss_db: 0.2112 loss: 3.7091 2022/08/26 00:55:20 - mmengine - INFO - Epoch(train) [265][60/63] lr: 5.5962e-03 eta: 6:57:44 time: 0.4867 data_time: 0.0360 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6078 loss_db: 0.2025 loss: 3.6692 2022/08/26 00:55:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:55:25 - mmengine - INFO - Epoch(train) [266][5/63] lr: 5.5908e-03 eta: 6:57:44 time: 0.5747 data_time: 0.1745 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6332 loss_db: 0.2153 loss: 3.7085 2022/08/26 00:55:27 - mmengine - INFO - Epoch(train) [266][10/63] lr: 5.5908e-03 eta: 6:57:38 time: 0.5434 data_time: 0.1826 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6162 loss_db: 0.2208 loss: 3.6975 2022/08/26 00:55:29 - mmengine - INFO - Epoch(train) [266][15/63] lr: 5.5908e-03 eta: 6:57:38 time: 0.3940 data_time: 0.0231 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6057 loss_db: 0.2144 loss: 3.6809 2022/08/26 00:55:31 - mmengine - INFO - Epoch(train) [266][20/63] lr: 5.5908e-03 eta: 6:57:33 time: 0.4020 data_time: 0.0226 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6078 loss_db: 0.2118 loss: 3.6811 2022/08/26 00:55:33 - mmengine - INFO - Epoch(train) [266][25/63] lr: 5.5908e-03 eta: 6:57:33 time: 0.3870 data_time: 0.0169 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5687 loss_db: 0.2008 loss: 3.6308 2022/08/26 00:55:34 - mmengine - INFO - Epoch(train) [266][30/63] lr: 5.5908e-03 eta: 6:57:27 time: 0.3711 data_time: 0.0156 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5527 loss_db: 0.1960 loss: 3.6092 2022/08/26 00:55:36 - mmengine - INFO - Epoch(train) [266][35/63] lr: 5.5908e-03 eta: 6:57:27 time: 0.3697 data_time: 0.0189 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5794 loss_db: 0.2101 loss: 3.6489 2022/08/26 00:55:40 - mmengine - INFO - Epoch(train) [266][40/63] lr: 5.5908e-03 eta: 6:57:28 time: 0.5902 data_time: 0.0310 memory: 6760 loss_prob: 2.8590 loss_thr: 0.5882 loss_db: 0.2113 loss: 3.6585 2022/08/26 00:55:42 - mmengine - INFO - Epoch(train) [266][45/63] lr: 5.5908e-03 eta: 6:57:28 time: 0.5962 data_time: 0.0410 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6025 loss_db: 0.2122 loss: 3.6739 2022/08/26 00:55:44 - mmengine - INFO - Epoch(train) [266][50/63] lr: 5.5908e-03 eta: 6:57:22 time: 0.3724 data_time: 0.0248 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6281 loss_db: 0.2226 loss: 3.7097 2022/08/26 00:55:46 - mmengine - INFO - Epoch(train) [266][55/63] lr: 5.5908e-03 eta: 6:57:22 time: 0.3711 data_time: 0.0166 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6320 loss_db: 0.2245 loss: 3.7161 2022/08/26 00:55:48 - mmengine - INFO - Epoch(train) [266][60/63] lr: 5.5908e-03 eta: 6:57:17 time: 0.3953 data_time: 0.0223 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6255 loss_db: 0.2218 loss: 3.7071 2022/08/26 00:55:49 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:55:52 - mmengine - INFO - Epoch(train) [267][5/63] lr: 5.5854e-03 eta: 6:57:17 time: 0.5224 data_time: 0.1512 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6283 loss_db: 0.2270 loss: 3.7144 2022/08/26 00:55:54 - mmengine - INFO - Epoch(train) [267][10/63] lr: 5.5854e-03 eta: 6:57:11 time: 0.5471 data_time: 0.1475 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6321 loss_db: 0.2110 loss: 3.7039 2022/08/26 00:55:56 - mmengine - INFO - Epoch(train) [267][15/63] lr: 5.5854e-03 eta: 6:57:11 time: 0.3907 data_time: 0.0186 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5887 loss_db: 0.2005 loss: 3.6497 2022/08/26 00:55:58 - mmengine - INFO - Epoch(train) [267][20/63] lr: 5.5854e-03 eta: 6:57:06 time: 0.3916 data_time: 0.0294 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5925 loss_db: 0.2130 loss: 3.6657 2022/08/26 00:56:00 - mmengine - INFO - Epoch(train) [267][25/63] lr: 5.5854e-03 eta: 6:57:06 time: 0.4017 data_time: 0.0354 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5787 loss_db: 0.2177 loss: 3.6568 2022/08/26 00:56:02 - mmengine - INFO - Epoch(train) [267][30/63] lr: 5.5854e-03 eta: 6:57:00 time: 0.3829 data_time: 0.0273 memory: 6760 loss_prob: 2.8615 loss_thr: 0.5892 loss_db: 0.2226 loss: 3.6733 2022/08/26 00:56:04 - mmengine - INFO - Epoch(train) [267][35/63] lr: 5.5854e-03 eta: 6:57:00 time: 0.3830 data_time: 0.0191 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6251 loss_db: 0.2314 loss: 3.7189 2022/08/26 00:56:06 - mmengine - INFO - Epoch(train) [267][40/63] lr: 5.5854e-03 eta: 6:56:54 time: 0.3943 data_time: 0.0157 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6037 loss_db: 0.2177 loss: 3.6843 2022/08/26 00:56:10 - mmengine - INFO - Epoch(train) [267][45/63] lr: 5.5854e-03 eta: 6:56:54 time: 0.5809 data_time: 0.0290 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6104 loss_db: 0.2194 loss: 3.6917 2022/08/26 00:56:12 - mmengine - INFO - Epoch(train) [267][50/63] lr: 5.5854e-03 eta: 6:56:56 time: 0.5786 data_time: 0.0335 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6344 loss_db: 0.2358 loss: 3.7300 2022/08/26 00:56:14 - mmengine - INFO - Epoch(train) [267][55/63] lr: 5.5854e-03 eta: 6:56:56 time: 0.3764 data_time: 0.0226 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6159 loss_db: 0.2207 loss: 3.6969 2022/08/26 00:56:16 - mmengine - INFO - Epoch(train) [267][60/63] lr: 5.5854e-03 eta: 6:56:50 time: 0.3781 data_time: 0.0176 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5904 loss_db: 0.2167 loss: 3.6674 2022/08/26 00:56:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:56:20 - mmengine - INFO - Epoch(train) [268][5/63] lr: 5.5800e-03 eta: 6:56:50 time: 0.5508 data_time: 0.1746 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6294 loss_db: 0.2455 loss: 3.7355 2022/08/26 00:56:23 - mmengine - INFO - Epoch(train) [268][10/63] lr: 5.5800e-03 eta: 6:56:44 time: 0.5624 data_time: 0.1870 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5879 loss_db: 0.2032 loss: 3.6506 2022/08/26 00:56:25 - mmengine - INFO - Epoch(train) [268][15/63] lr: 5.5800e-03 eta: 6:56:44 time: 0.4071 data_time: 0.0272 memory: 6760 loss_prob: 2.8579 loss_thr: 0.5740 loss_db: 0.1953 loss: 3.6272 2022/08/26 00:56:26 - mmengine - INFO - Epoch(train) [268][20/63] lr: 5.5800e-03 eta: 6:56:38 time: 0.3745 data_time: 0.0184 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6285 loss_db: 0.2217 loss: 3.7090 2022/08/26 00:56:29 - mmengine - INFO - Epoch(train) [268][25/63] lr: 5.5800e-03 eta: 6:56:38 time: 0.4355 data_time: 0.0387 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6450 loss_db: 0.2286 loss: 3.7325 2022/08/26 00:56:31 - mmengine - INFO - Epoch(train) [268][30/63] lr: 5.5800e-03 eta: 6:56:35 time: 0.4540 data_time: 0.0374 memory: 6760 loss_prob: 2.8572 loss_thr: 0.5886 loss_db: 0.2033 loss: 3.6491 2022/08/26 00:56:33 - mmengine - INFO - Epoch(train) [268][35/63] lr: 5.5800e-03 eta: 6:56:35 time: 0.4496 data_time: 0.0277 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5913 loss_db: 0.2178 loss: 3.6692 2022/08/26 00:56:35 - mmengine - INFO - Epoch(train) [268][40/63] lr: 5.5800e-03 eta: 6:56:31 time: 0.4389 data_time: 0.0242 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6059 loss_db: 0.2267 loss: 3.6938 2022/08/26 00:56:38 - mmengine - INFO - Epoch(train) [268][45/63] lr: 5.5800e-03 eta: 6:56:31 time: 0.4125 data_time: 0.0247 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6354 loss_db: 0.2236 loss: 3.7187 2022/08/26 00:56:39 - mmengine - INFO - Epoch(train) [268][50/63] lr: 5.5800e-03 eta: 6:56:27 time: 0.4185 data_time: 0.0343 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6434 loss_db: 0.2239 loss: 3.7270 2022/08/26 00:56:41 - mmengine - INFO - Epoch(train) [268][55/63] lr: 5.5800e-03 eta: 6:56:27 time: 0.3760 data_time: 0.0218 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6465 loss_db: 0.2270 loss: 3.7323 2022/08/26 00:56:43 - mmengine - INFO - Epoch(train) [268][60/63] lr: 5.5800e-03 eta: 6:56:21 time: 0.3753 data_time: 0.0214 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6516 loss_db: 0.2236 loss: 3.7342 2022/08/26 00:56:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:56:48 - mmengine - INFO - Epoch(train) [269][5/63] lr: 5.5746e-03 eta: 6:56:21 time: 0.5063 data_time: 0.1489 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6133 loss_db: 0.2179 loss: 3.6917 2022/08/26 00:56:50 - mmengine - INFO - Epoch(train) [269][10/63] lr: 5.5746e-03 eta: 6:56:15 time: 0.5312 data_time: 0.1541 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6145 loss_db: 0.2284 loss: 3.7041 2022/08/26 00:56:52 - mmengine - INFO - Epoch(train) [269][15/63] lr: 5.5746e-03 eta: 6:56:15 time: 0.3940 data_time: 0.0195 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6358 loss_db: 0.2197 loss: 3.7164 2022/08/26 00:56:54 - mmengine - INFO - Epoch(train) [269][20/63] lr: 5.5746e-03 eta: 6:56:09 time: 0.4018 data_time: 0.0225 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6410 loss_db: 0.2142 loss: 3.7143 2022/08/26 00:56:56 - mmengine - INFO - Epoch(train) [269][25/63] lr: 5.5746e-03 eta: 6:56:09 time: 0.4015 data_time: 0.0232 memory: 6760 loss_prob: 2.8582 loss_thr: 0.5929 loss_db: 0.2385 loss: 3.6896 2022/08/26 00:56:58 - mmengine - INFO - Epoch(train) [269][30/63] lr: 5.5746e-03 eta: 6:56:05 time: 0.4177 data_time: 0.0344 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6040 loss_db: 0.2353 loss: 3.6987 2022/08/26 00:57:00 - mmengine - INFO - Epoch(train) [269][35/63] lr: 5.5746e-03 eta: 6:56:05 time: 0.4031 data_time: 0.0335 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6337 loss_db: 0.2192 loss: 3.7130 2022/08/26 00:57:01 - mmengine - INFO - Epoch(train) [269][40/63] lr: 5.5746e-03 eta: 6:55:59 time: 0.3697 data_time: 0.0170 memory: 6760 loss_prob: 2.8592 loss_thr: 0.5953 loss_db: 0.2235 loss: 3.6780 2022/08/26 00:57:03 - mmengine - INFO - Epoch(train) [269][45/63] lr: 5.5746e-03 eta: 6:55:59 time: 0.3713 data_time: 0.0212 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6379 loss_db: 0.2453 loss: 3.7435 2022/08/26 00:57:05 - mmengine - INFO - Epoch(train) [269][50/63] lr: 5.5746e-03 eta: 6:55:53 time: 0.3851 data_time: 0.0223 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6466 loss_db: 0.2250 loss: 3.7336 2022/08/26 00:57:08 - mmengine - INFO - Epoch(train) [269][55/63] lr: 5.5746e-03 eta: 6:55:53 time: 0.5156 data_time: 0.0298 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6107 loss_db: 0.2067 loss: 3.6783 2022/08/26 00:57:11 - mmengine - INFO - Epoch(train) [269][60/63] lr: 5.5746e-03 eta: 6:55:53 time: 0.5472 data_time: 0.0423 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6153 loss_db: 0.2250 loss: 3.6993 2022/08/26 00:57:12 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:57:15 - mmengine - INFO - Epoch(train) [270][5/63] lr: 5.5693e-03 eta: 6:55:53 time: 0.5350 data_time: 0.1806 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5912 loss_db: 0.2157 loss: 3.6664 2022/08/26 00:57:17 - mmengine - INFO - Epoch(train) [270][10/63] lr: 5.5693e-03 eta: 6:55:47 time: 0.5506 data_time: 0.1852 memory: 6760 loss_prob: 2.8598 loss_thr: 0.5951 loss_db: 0.2059 loss: 3.6608 2022/08/26 00:57:19 - mmengine - INFO - Epoch(train) [270][15/63] lr: 5.5693e-03 eta: 6:55:47 time: 0.3878 data_time: 0.0226 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5944 loss_db: 0.2116 loss: 3.6650 2022/08/26 00:57:21 - mmengine - INFO - Epoch(train) [270][20/63] lr: 5.5693e-03 eta: 6:55:42 time: 0.3889 data_time: 0.0196 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6190 loss_db: 0.2211 loss: 3.6999 2022/08/26 00:57:23 - mmengine - INFO - Epoch(train) [270][25/63] lr: 5.5693e-03 eta: 6:55:42 time: 0.3951 data_time: 0.0232 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6285 loss_db: 0.2196 loss: 3.7087 2022/08/26 00:57:25 - mmengine - INFO - Epoch(train) [270][30/63] lr: 5.5693e-03 eta: 6:55:36 time: 0.3885 data_time: 0.0165 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6225 loss_db: 0.2155 loss: 3.6978 2022/08/26 00:57:27 - mmengine - INFO - Epoch(train) [270][35/63] lr: 5.5693e-03 eta: 6:55:36 time: 0.4023 data_time: 0.0166 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5983 loss_db: 0.2001 loss: 3.6575 2022/08/26 00:57:29 - mmengine - INFO - Epoch(train) [270][40/63] lr: 5.5693e-03 eta: 6:55:33 time: 0.4481 data_time: 0.0480 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6020 loss_db: 0.2182 loss: 3.6795 2022/08/26 00:57:31 - mmengine - INFO - Epoch(train) [270][45/63] lr: 5.5693e-03 eta: 6:55:33 time: 0.4258 data_time: 0.0463 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6177 loss_db: 0.2250 loss: 3.7028 2022/08/26 00:57:34 - mmengine - INFO - Epoch(train) [270][50/63] lr: 5.5693e-03 eta: 6:55:31 time: 0.4945 data_time: 0.0662 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6128 loss_db: 0.2246 loss: 3.6977 2022/08/26 00:57:36 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:57:36 - mmengine - INFO - Epoch(train) [270][55/63] lr: 5.5693e-03 eta: 6:55:31 time: 0.4881 data_time: 0.0642 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6077 loss_db: 0.2232 loss: 3.6913 2022/08/26 00:57:38 - mmengine - INFO - Epoch(train) [270][60/63] lr: 5.5693e-03 eta: 6:55:25 time: 0.3858 data_time: 0.0186 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6000 loss_db: 0.2179 loss: 3.6795 2022/08/26 00:57:39 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:57:43 - mmengine - INFO - Epoch(train) [271][5/63] lr: 5.5639e-03 eta: 6:55:25 time: 0.5320 data_time: 0.1856 memory: 6760 loss_prob: 2.8639 loss_thr: 0.6085 loss_db: 0.2157 loss: 3.6881 2022/08/26 00:57:45 - mmengine - INFO - Epoch(train) [271][10/63] lr: 5.5639e-03 eta: 6:55:21 time: 0.5747 data_time: 0.1886 memory: 6760 loss_prob: 2.8632 loss_thr: 0.6127 loss_db: 0.2114 loss: 3.6873 2022/08/26 00:57:47 - mmengine - INFO - Epoch(train) [271][15/63] lr: 5.5639e-03 eta: 6:55:21 time: 0.4095 data_time: 0.0200 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6068 loss_db: 0.2137 loss: 3.6813 2022/08/26 00:57:49 - mmengine - INFO - Epoch(train) [271][20/63] lr: 5.5639e-03 eta: 6:55:15 time: 0.3807 data_time: 0.0162 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6169 loss_db: 0.2185 loss: 3.6955 2022/08/26 00:57:51 - mmengine - INFO - Epoch(train) [271][25/63] lr: 5.5639e-03 eta: 6:55:15 time: 0.3929 data_time: 0.0283 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6210 loss_db: 0.2239 loss: 3.7059 2022/08/26 00:57:53 - mmengine - INFO - Epoch(train) [271][30/63] lr: 5.5639e-03 eta: 6:55:09 time: 0.3891 data_time: 0.0236 memory: 6760 loss_prob: 2.8624 loss_thr: 0.5956 loss_db: 0.1980 loss: 3.6560 2022/08/26 00:57:55 - mmengine - INFO - Epoch(train) [271][35/63] lr: 5.5639e-03 eta: 6:55:09 time: 0.3781 data_time: 0.0187 memory: 6760 loss_prob: 2.8632 loss_thr: 0.6109 loss_db: 0.2040 loss: 3.6781 2022/08/26 00:57:57 - mmengine - INFO - Epoch(train) [271][40/63] lr: 5.5639e-03 eta: 6:55:04 time: 0.3851 data_time: 0.0213 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6211 loss_db: 0.2148 loss: 3.6988 2022/08/26 00:58:00 - mmengine - INFO - Epoch(train) [271][45/63] lr: 5.5639e-03 eta: 6:55:04 time: 0.5581 data_time: 0.0218 memory: 6760 loss_prob: 2.8625 loss_thr: 0.5954 loss_db: 0.2100 loss: 3.6679 2022/08/26 00:58:02 - mmengine - INFO - Epoch(train) [271][50/63] lr: 5.5639e-03 eta: 6:55:04 time: 0.5598 data_time: 0.0300 memory: 6760 loss_prob: 2.8628 loss_thr: 0.6045 loss_db: 0.2110 loss: 3.6784 2022/08/26 00:58:04 - mmengine - INFO - Epoch(train) [271][55/63] lr: 5.5639e-03 eta: 6:55:04 time: 0.3910 data_time: 0.0247 memory: 6760 loss_prob: 2.8629 loss_thr: 0.6316 loss_db: 0.2099 loss: 3.7044 2022/08/26 00:58:06 - mmengine - INFO - Epoch(train) [271][60/63] lr: 5.5639e-03 eta: 6:54:58 time: 0.3825 data_time: 0.0164 memory: 6760 loss_prob: 2.8617 loss_thr: 0.5886 loss_db: 0.2027 loss: 3.6530 2022/08/26 00:58:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:58:11 - mmengine - INFO - Epoch(train) [272][5/63] lr: 5.5585e-03 eta: 6:54:58 time: 0.5265 data_time: 0.1431 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6123 loss_db: 0.2092 loss: 3.6839 2022/08/26 00:58:13 - mmengine - INFO - Epoch(train) [272][10/63] lr: 5.5585e-03 eta: 6:54:52 time: 0.5281 data_time: 0.1534 memory: 6760 loss_prob: 2.8637 loss_thr: 0.6331 loss_db: 0.2102 loss: 3.7069 2022/08/26 00:58:14 - mmengine - INFO - Epoch(train) [272][15/63] lr: 5.5585e-03 eta: 6:54:52 time: 0.3852 data_time: 0.0249 memory: 6760 loss_prob: 2.8621 loss_thr: 0.5835 loss_db: 0.2050 loss: 3.6505 2022/08/26 00:58:16 - mmengine - INFO - Epoch(train) [272][20/63] lr: 5.5585e-03 eta: 6:54:46 time: 0.3803 data_time: 0.0169 memory: 6760 loss_prob: 2.8618 loss_thr: 0.5873 loss_db: 0.2033 loss: 3.6524 2022/08/26 00:58:19 - mmengine - INFO - Epoch(train) [272][25/63] lr: 5.5585e-03 eta: 6:54:46 time: 0.4879 data_time: 0.0277 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6098 loss_db: 0.2098 loss: 3.6817 2022/08/26 00:58:21 - mmengine - INFO - Epoch(train) [272][30/63] lr: 5.5585e-03 eta: 6:54:44 time: 0.4860 data_time: 0.0281 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6231 loss_db: 0.2284 loss: 3.7124 2022/08/26 00:58:23 - mmengine - INFO - Epoch(train) [272][35/63] lr: 5.5585e-03 eta: 6:54:44 time: 0.3823 data_time: 0.0232 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6117 loss_db: 0.2251 loss: 3.6985 2022/08/26 00:58:25 - mmengine - INFO - Epoch(train) [272][40/63] lr: 5.5585e-03 eta: 6:54:38 time: 0.3815 data_time: 0.0223 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5908 loss_db: 0.2197 loss: 3.6720 2022/08/26 00:58:27 - mmengine - INFO - Epoch(train) [272][45/63] lr: 5.5585e-03 eta: 6:54:38 time: 0.3869 data_time: 0.0189 memory: 6760 loss_prob: 2.8600 loss_thr: 0.5859 loss_db: 0.2233 loss: 3.6692 2022/08/26 00:58:29 - mmengine - INFO - Epoch(train) [272][50/63] lr: 5.5585e-03 eta: 6:54:33 time: 0.3951 data_time: 0.0265 memory: 6760 loss_prob: 2.8587 loss_thr: 0.5850 loss_db: 0.2382 loss: 3.6819 2022/08/26 00:58:31 - mmengine - INFO - Epoch(train) [272][55/63] lr: 5.5585e-03 eta: 6:54:33 time: 0.3790 data_time: 0.0252 memory: 6760 loss_prob: 2.8579 loss_thr: 0.5992 loss_db: 0.2416 loss: 3.6987 2022/08/26 00:58:33 - mmengine - INFO - Epoch(train) [272][60/63] lr: 5.5585e-03 eta: 6:54:27 time: 0.3718 data_time: 0.0183 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6252 loss_db: 0.2315 loss: 3.7161 2022/08/26 00:58:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:58:37 - mmengine - INFO - Epoch(train) [273][5/63] lr: 5.5531e-03 eta: 6:54:27 time: 0.4971 data_time: 0.1510 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6131 loss_db: 0.2150 loss: 3.6886 2022/08/26 00:58:39 - mmengine - INFO - Epoch(train) [273][10/63] lr: 5.5531e-03 eta: 6:54:22 time: 0.5586 data_time: 0.1630 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6106 loss_db: 0.2345 loss: 3.7049 2022/08/26 00:58:41 - mmengine - INFO - Epoch(train) [273][15/63] lr: 5.5531e-03 eta: 6:54:22 time: 0.4147 data_time: 0.0286 memory: 6760 loss_prob: 2.8592 loss_thr: 0.5836 loss_db: 0.2389 loss: 3.6817 2022/08/26 00:58:43 - mmengine - INFO - Epoch(train) [273][20/63] lr: 5.5531e-03 eta: 6:54:15 time: 0.3707 data_time: 0.0140 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6347 loss_db: 0.2314 loss: 3.7269 2022/08/26 00:58:45 - mmengine - INFO - Epoch(train) [273][25/63] lr: 5.5531e-03 eta: 6:54:15 time: 0.3949 data_time: 0.0221 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6490 loss_db: 0.2185 loss: 3.7285 2022/08/26 00:58:47 - mmengine - INFO - Epoch(train) [273][30/63] lr: 5.5531e-03 eta: 6:54:10 time: 0.4037 data_time: 0.0216 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6101 loss_db: 0.2192 loss: 3.6893 2022/08/26 00:58:50 - mmengine - INFO - Epoch(train) [273][35/63] lr: 5.5531e-03 eta: 6:54:10 time: 0.4968 data_time: 0.0522 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6270 loss_db: 0.2395 loss: 3.7275 2022/08/26 00:58:52 - mmengine - INFO - Epoch(train) [273][40/63] lr: 5.5531e-03 eta: 6:54:08 time: 0.4847 data_time: 0.0473 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6269 loss_db: 0.2301 loss: 3.7181 2022/08/26 00:58:54 - mmengine - INFO - Epoch(train) [273][45/63] lr: 5.5531e-03 eta: 6:54:08 time: 0.3748 data_time: 0.0161 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6302 loss_db: 0.2308 loss: 3.7217 2022/08/26 00:58:56 - mmengine - INFO - Epoch(train) [273][50/63] lr: 5.5531e-03 eta: 6:54:03 time: 0.3844 data_time: 0.0278 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6393 loss_db: 0.2489 loss: 3.7478 2022/08/26 00:58:58 - mmengine - INFO - Epoch(train) [273][55/63] lr: 5.5531e-03 eta: 6:54:03 time: 0.4031 data_time: 0.0203 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6219 loss_db: 0.2360 loss: 3.7184 2022/08/26 00:59:00 - mmengine - INFO - Epoch(train) [273][60/63] lr: 5.5531e-03 eta: 6:53:58 time: 0.4031 data_time: 0.0182 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6134 loss_db: 0.2158 loss: 3.6904 2022/08/26 00:59:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:59:04 - mmengine - INFO - Epoch(train) [274][5/63] lr: 5.5477e-03 eta: 6:53:58 time: 0.5129 data_time: 0.1593 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5885 loss_db: 0.2053 loss: 3.6529 2022/08/26 00:59:06 - mmengine - INFO - Epoch(train) [274][10/63] lr: 5.5477e-03 eta: 6:53:52 time: 0.5433 data_time: 0.1784 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5680 loss_db: 0.2000 loss: 3.6269 2022/08/26 00:59:08 - mmengine - INFO - Epoch(train) [274][15/63] lr: 5.5477e-03 eta: 6:53:52 time: 0.4253 data_time: 0.0291 memory: 6760 loss_prob: 2.8575 loss_thr: 0.5644 loss_db: 0.2123 loss: 3.6343 2022/08/26 00:59:10 - mmengine - INFO - Epoch(train) [274][20/63] lr: 5.5477e-03 eta: 6:53:47 time: 0.4111 data_time: 0.0177 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6015 loss_db: 0.2247 loss: 3.6845 2022/08/26 00:59:12 - mmengine - INFO - Epoch(train) [274][25/63] lr: 5.5477e-03 eta: 6:53:47 time: 0.3824 data_time: 0.0226 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6108 loss_db: 0.2103 loss: 3.6811 2022/08/26 00:59:14 - mmengine - INFO - Epoch(train) [274][30/63] lr: 5.5477e-03 eta: 6:53:41 time: 0.3816 data_time: 0.0189 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5967 loss_db: 0.2230 loss: 3.6796 2022/08/26 00:59:16 - mmengine - INFO - Epoch(train) [274][35/63] lr: 5.5477e-03 eta: 6:53:41 time: 0.3789 data_time: 0.0193 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6048 loss_db: 0.2373 loss: 3.7010 2022/08/26 00:59:18 - mmengine - INFO - Epoch(train) [274][40/63] lr: 5.5477e-03 eta: 6:53:36 time: 0.3922 data_time: 0.0250 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6186 loss_db: 0.2135 loss: 3.6916 2022/08/26 00:59:20 - mmengine - INFO - Epoch(train) [274][45/63] lr: 5.5477e-03 eta: 6:53:36 time: 0.3970 data_time: 0.0241 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6510 loss_db: 0.2157 loss: 3.7267 2022/08/26 00:59:22 - mmengine - INFO - Epoch(train) [274][50/63] lr: 5.5477e-03 eta: 6:53:30 time: 0.3915 data_time: 0.0248 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6337 loss_db: 0.2213 loss: 3.7173 2022/08/26 00:59:24 - mmengine - INFO - Epoch(train) [274][55/63] lr: 5.5477e-03 eta: 6:53:30 time: 0.3802 data_time: 0.0185 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6214 loss_db: 0.2257 loss: 3.7101 2022/08/26 00:59:26 - mmengine - INFO - Epoch(train) [274][60/63] lr: 5.5477e-03 eta: 6:53:25 time: 0.3885 data_time: 0.0155 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6156 loss_db: 0.2345 loss: 3.7104 2022/08/26 00:59:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:59:31 - mmengine - INFO - Epoch(train) [275][5/63] lr: 5.5423e-03 eta: 6:53:25 time: 0.5659 data_time: 0.2032 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5967 loss_db: 0.2172 loss: 3.6739 2022/08/26 00:59:33 - mmengine - INFO - Epoch(train) [275][10/63] lr: 5.5423e-03 eta: 6:53:21 time: 0.5997 data_time: 0.2171 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6156 loss_db: 0.2167 loss: 3.6940 2022/08/26 00:59:35 - mmengine - INFO - Epoch(train) [275][15/63] lr: 5.5423e-03 eta: 6:53:21 time: 0.3893 data_time: 0.0249 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6321 loss_db: 0.2232 loss: 3.7170 2022/08/26 00:59:37 - mmengine - INFO - Epoch(train) [275][20/63] lr: 5.5423e-03 eta: 6:53:18 time: 0.4542 data_time: 0.0172 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6130 loss_db: 0.2197 loss: 3.6929 2022/08/26 00:59:39 - mmengine - INFO - Epoch(train) [275][25/63] lr: 5.5423e-03 eta: 6:53:18 time: 0.4733 data_time: 0.0244 memory: 6760 loss_prob: 2.8598 loss_thr: 0.5803 loss_db: 0.2162 loss: 3.6563 2022/08/26 00:59:41 - mmengine - INFO - Epoch(train) [275][30/63] lr: 5.5423e-03 eta: 6:53:13 time: 0.4084 data_time: 0.0224 memory: 6760 loss_prob: 2.8621 loss_thr: 0.5823 loss_db: 0.2165 loss: 3.6608 2022/08/26 00:59:43 - mmengine - INFO - Epoch(train) [275][35/63] lr: 5.5423e-03 eta: 6:53:13 time: 0.3908 data_time: 0.0221 memory: 6760 loss_prob: 2.8640 loss_thr: 0.5987 loss_db: 0.2308 loss: 3.6935 2022/08/26 00:59:45 - mmengine - INFO - Epoch(train) [275][40/63] lr: 5.5423e-03 eta: 6:53:07 time: 0.3800 data_time: 0.0217 memory: 6760 loss_prob: 2.8624 loss_thr: 0.5932 loss_db: 0.2333 loss: 3.6890 2022/08/26 00:59:48 - mmengine - INFO - Epoch(train) [275][45/63] lr: 5.5423e-03 eta: 6:53:07 time: 0.4419 data_time: 0.0224 memory: 6760 loss_prob: 2.8621 loss_thr: 0.5752 loss_db: 0.2120 loss: 3.6493 2022/08/26 00:59:51 - mmengine - INFO - Epoch(train) [275][50/63] lr: 5.5423e-03 eta: 6:53:08 time: 0.5673 data_time: 0.0464 memory: 6760 loss_prob: 2.8634 loss_thr: 0.5896 loss_db: 0.2044 loss: 3.6573 2022/08/26 00:59:53 - mmengine - INFO - Epoch(train) [275][55/63] lr: 5.5423e-03 eta: 6:53:08 time: 0.4962 data_time: 0.0396 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6178 loss_db: 0.2100 loss: 3.6901 2022/08/26 00:59:55 - mmengine - INFO - Epoch(train) [275][60/63] lr: 5.5423e-03 eta: 6:53:02 time: 0.3710 data_time: 0.0222 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6550 loss_db: 0.2381 loss: 3.7530 2022/08/26 00:59:56 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 00:59:59 - mmengine - INFO - Epoch(train) [276][5/63] lr: 5.5369e-03 eta: 6:53:02 time: 0.4930 data_time: 0.1471 memory: 6760 loss_prob: 2.8605 loss_thr: 0.6098 loss_db: 0.2199 loss: 3.6903 2022/08/26 01:00:01 - mmengine - INFO - Epoch(train) [276][10/63] lr: 5.5369e-03 eta: 6:52:54 time: 0.4973 data_time: 0.1472 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6215 loss_db: 0.2313 loss: 3.7140 2022/08/26 01:00:03 - mmengine - INFO - Epoch(train) [276][15/63] lr: 5.5369e-03 eta: 6:52:54 time: 0.3659 data_time: 0.0177 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6558 loss_db: 0.2467 loss: 3.7632 2022/08/26 01:00:05 - mmengine - INFO - Epoch(train) [276][20/63] lr: 5.5369e-03 eta: 6:52:50 time: 0.4175 data_time: 0.0237 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6333 loss_db: 0.2233 loss: 3.7153 2022/08/26 01:00:07 - mmengine - INFO - Epoch(train) [276][25/63] lr: 5.5369e-03 eta: 6:52:50 time: 0.4111 data_time: 0.0230 memory: 6760 loss_prob: 2.8579 loss_thr: 0.6090 loss_db: 0.2207 loss: 3.6875 2022/08/26 01:00:10 - mmengine - INFO - Epoch(train) [276][30/63] lr: 5.5369e-03 eta: 6:52:49 time: 0.5351 data_time: 0.0278 memory: 6760 loss_prob: 2.8590 loss_thr: 0.6224 loss_db: 0.2263 loss: 3.7077 2022/08/26 01:00:12 - mmengine - INFO - Epoch(train) [276][35/63] lr: 5.5369e-03 eta: 6:52:49 time: 0.5367 data_time: 0.0258 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6156 loss_db: 0.2061 loss: 3.6804 2022/08/26 01:00:14 - mmengine - INFO - Epoch(train) [276][40/63] lr: 5.5369e-03 eta: 6:52:44 time: 0.3932 data_time: 0.0174 memory: 6760 loss_prob: 2.8581 loss_thr: 0.6120 loss_db: 0.2110 loss: 3.6811 2022/08/26 01:00:16 - mmengine - INFO - Epoch(train) [276][45/63] lr: 5.5369e-03 eta: 6:52:44 time: 0.4026 data_time: 0.0229 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6378 loss_db: 0.2307 loss: 3.7276 2022/08/26 01:00:18 - mmengine - INFO - Epoch(train) [276][50/63] lr: 5.5369e-03 eta: 6:52:39 time: 0.4098 data_time: 0.0248 memory: 6760 loss_prob: 2.8598 loss_thr: 0.6515 loss_db: 0.2269 loss: 3.7382 2022/08/26 01:00:20 - mmengine - INFO - Epoch(train) [276][55/63] lr: 5.5369e-03 eta: 6:52:39 time: 0.4025 data_time: 0.0217 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6176 loss_db: 0.2208 loss: 3.6975 2022/08/26 01:00:22 - mmengine - INFO - Epoch(train) [276][60/63] lr: 5.5369e-03 eta: 6:52:35 time: 0.4229 data_time: 0.0208 memory: 6760 loss_prob: 2.8588 loss_thr: 0.5892 loss_db: 0.2262 loss: 3.6741 2022/08/26 01:00:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:00:27 - mmengine - INFO - Epoch(train) [277][5/63] lr: 5.5315e-03 eta: 6:52:35 time: 0.5145 data_time: 0.1464 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5969 loss_db: 0.2256 loss: 3.6836 2022/08/26 01:00:29 - mmengine - INFO - Epoch(train) [277][10/63] lr: 5.5315e-03 eta: 6:52:29 time: 0.5494 data_time: 0.1628 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5932 loss_db: 0.2108 loss: 3.6656 2022/08/26 01:00:31 - mmengine - INFO - Epoch(train) [277][15/63] lr: 5.5315e-03 eta: 6:52:29 time: 0.4025 data_time: 0.0282 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6110 loss_db: 0.2186 loss: 3.6910 2022/08/26 01:00:33 - mmengine - INFO - Epoch(train) [277][20/63] lr: 5.5315e-03 eta: 6:52:25 time: 0.4204 data_time: 0.0140 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6346 loss_db: 0.2385 loss: 3.7361 2022/08/26 01:00:35 - mmengine - INFO - Epoch(train) [277][25/63] lr: 5.5315e-03 eta: 6:52:25 time: 0.4154 data_time: 0.0258 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6222 loss_db: 0.2416 loss: 3.7267 2022/08/26 01:00:37 - mmengine - INFO - Epoch(train) [277][30/63] lr: 5.5315e-03 eta: 6:52:19 time: 0.3705 data_time: 0.0189 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6096 loss_db: 0.2291 loss: 3.6981 2022/08/26 01:00:39 - mmengine - INFO - Epoch(train) [277][35/63] lr: 5.5315e-03 eta: 6:52:19 time: 0.4074 data_time: 0.0285 memory: 6760 loss_prob: 2.8577 loss_thr: 0.6220 loss_db: 0.2265 loss: 3.7062 2022/08/26 01:00:41 - mmengine - INFO - Epoch(train) [277][40/63] lr: 5.5315e-03 eta: 6:52:14 time: 0.4176 data_time: 0.0364 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6102 loss_db: 0.2151 loss: 3.6840 2022/08/26 01:00:43 - mmengine - INFO - Epoch(train) [277][45/63] lr: 5.5315e-03 eta: 6:52:14 time: 0.3907 data_time: 0.0219 memory: 6760 loss_prob: 2.8593 loss_thr: 0.5669 loss_db: 0.2018 loss: 3.6280 2022/08/26 01:00:45 - mmengine - INFO - Epoch(train) [277][50/63] lr: 5.5315e-03 eta: 6:52:09 time: 0.4002 data_time: 0.0241 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5464 loss_db: 0.1895 loss: 3.5960 2022/08/26 01:00:47 - mmengine - INFO - Epoch(train) [277][55/63] lr: 5.5315e-03 eta: 6:52:09 time: 0.3930 data_time: 0.0178 memory: 6760 loss_prob: 2.8606 loss_thr: 0.5498 loss_db: 0.1861 loss: 3.5965 2022/08/26 01:00:50 - mmengine - INFO - Epoch(train) [277][60/63] lr: 5.5315e-03 eta: 6:52:07 time: 0.4939 data_time: 0.0236 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5671 loss_db: 0.1974 loss: 3.6242 2022/08/26 01:00:51 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:00:55 - mmengine - INFO - Epoch(train) [278][5/63] lr: 5.5261e-03 eta: 6:52:07 time: 0.5509 data_time: 0.1952 memory: 6760 loss_prob: 2.8587 loss_thr: 0.5714 loss_db: 0.2077 loss: 3.6378 2022/08/26 01:00:57 - mmengine - INFO - Epoch(train) [278][10/63] lr: 5.5261e-03 eta: 6:52:02 time: 0.5653 data_time: 0.1957 memory: 6760 loss_prob: 2.8601 loss_thr: 0.6043 loss_db: 0.1971 loss: 3.6615 2022/08/26 01:00:59 - mmengine - INFO - Epoch(train) [278][15/63] lr: 5.5261e-03 eta: 6:52:02 time: 0.4041 data_time: 0.0210 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6180 loss_db: 0.2206 loss: 3.6997 2022/08/26 01:01:01 - mmengine - INFO - Epoch(train) [278][20/63] lr: 5.5261e-03 eta: 6:51:56 time: 0.3876 data_time: 0.0158 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6160 loss_db: 0.2396 loss: 3.7174 2022/08/26 01:01:02 - mmengine - INFO - Epoch(train) [278][25/63] lr: 5.5261e-03 eta: 6:51:56 time: 0.3719 data_time: 0.0252 memory: 6760 loss_prob: 2.8621 loss_thr: 0.5836 loss_db: 0.2084 loss: 3.6541 2022/08/26 01:01:04 - mmengine - INFO - Epoch(train) [278][30/63] lr: 5.5261e-03 eta: 6:51:51 time: 0.3765 data_time: 0.0247 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5532 loss_db: 0.1881 loss: 3.6029 2022/08/26 01:01:06 - mmengine - INFO - Epoch(train) [278][35/63] lr: 5.5261e-03 eta: 6:51:51 time: 0.3778 data_time: 0.0196 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5567 loss_db: 0.2011 loss: 3.6191 2022/08/26 01:01:10 - mmengine - INFO - Epoch(train) [278][40/63] lr: 5.5261e-03 eta: 6:51:51 time: 0.5625 data_time: 0.0277 memory: 6760 loss_prob: 2.8620 loss_thr: 0.5695 loss_db: 0.1968 loss: 3.6283 2022/08/26 01:01:12 - mmengine - INFO - Epoch(train) [278][45/63] lr: 5.5261e-03 eta: 6:51:51 time: 0.5664 data_time: 0.0319 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5966 loss_db: 0.2047 loss: 3.6626 2022/08/26 01:01:14 - mmengine - INFO - Epoch(train) [278][50/63] lr: 5.5261e-03 eta: 6:51:45 time: 0.3830 data_time: 0.0271 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6210 loss_db: 0.2249 loss: 3.7070 2022/08/26 01:01:16 - mmengine - INFO - Epoch(train) [278][55/63] lr: 5.5261e-03 eta: 6:51:45 time: 0.3812 data_time: 0.0205 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6187 loss_db: 0.2164 loss: 3.6947 2022/08/26 01:01:18 - mmengine - INFO - Epoch(train) [278][60/63] lr: 5.5261e-03 eta: 6:51:40 time: 0.3939 data_time: 0.0168 memory: 6760 loss_prob: 2.8570 loss_thr: 0.6021 loss_db: 0.2061 loss: 3.6653 2022/08/26 01:01:19 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:01:22 - mmengine - INFO - Epoch(train) [279][5/63] lr: 5.5207e-03 eta: 6:51:40 time: 0.5147 data_time: 0.1468 memory: 6760 loss_prob: 2.8579 loss_thr: 0.5570 loss_db: 0.2040 loss: 3.6188 2022/08/26 01:01:24 - mmengine - INFO - Epoch(train) [279][10/63] lr: 5.5207e-03 eta: 6:51:33 time: 0.5251 data_time: 0.1544 memory: 6760 loss_prob: 2.8611 loss_thr: 0.5994 loss_db: 0.2111 loss: 3.6716 2022/08/26 01:01:26 - mmengine - INFO - Epoch(train) [279][15/63] lr: 5.5207e-03 eta: 6:51:33 time: 0.3773 data_time: 0.0240 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6175 loss_db: 0.2421 loss: 3.7222 2022/08/26 01:01:28 - mmengine - INFO - Epoch(train) [279][20/63] lr: 5.5207e-03 eta: 6:51:28 time: 0.3874 data_time: 0.0178 memory: 6760 loss_prob: 2.8610 loss_thr: 0.5902 loss_db: 0.2487 loss: 3.6998 2022/08/26 01:01:30 - mmengine - INFO - Epoch(train) [279][25/63] lr: 5.5207e-03 eta: 6:51:28 time: 0.4085 data_time: 0.0223 memory: 6760 loss_prob: 2.8608 loss_thr: 0.5823 loss_db: 0.2220 loss: 3.6651 2022/08/26 01:01:32 - mmengine - INFO - Epoch(train) [279][30/63] lr: 5.5207e-03 eta: 6:51:24 time: 0.4248 data_time: 0.0248 memory: 6760 loss_prob: 2.8620 loss_thr: 0.5977 loss_db: 0.2106 loss: 3.6702 2022/08/26 01:01:34 - mmengine - INFO - Epoch(train) [279][35/63] lr: 5.5207e-03 eta: 6:51:24 time: 0.4357 data_time: 0.0286 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5951 loss_db: 0.1999 loss: 3.6567 2022/08/26 01:01:36 - mmengine - INFO - Epoch(train) [279][40/63] lr: 5.5207e-03 eta: 6:51:19 time: 0.3967 data_time: 0.0251 memory: 6760 loss_prob: 2.8600 loss_thr: 0.5924 loss_db: 0.2045 loss: 3.6569 2022/08/26 01:01:38 - mmengine - INFO - Epoch(train) [279][45/63] lr: 5.5207e-03 eta: 6:51:19 time: 0.4170 data_time: 0.0249 memory: 6760 loss_prob: 2.8597 loss_thr: 0.5897 loss_db: 0.2098 loss: 3.6592 2022/08/26 01:01:40 - mmengine - INFO - Epoch(train) [279][50/63] lr: 5.5207e-03 eta: 6:51:14 time: 0.4211 data_time: 0.0305 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5889 loss_db: 0.1908 loss: 3.6404 2022/08/26 01:01:42 - mmengine - INFO - Epoch(train) [279][55/63] lr: 5.5207e-03 eta: 6:51:14 time: 0.3860 data_time: 0.0223 memory: 6760 loss_prob: 2.8614 loss_thr: 0.5922 loss_db: 0.1973 loss: 3.6509 2022/08/26 01:01:44 - mmengine - INFO - Epoch(train) [279][60/63] lr: 5.5207e-03 eta: 6:51:08 time: 0.3752 data_time: 0.0206 memory: 6760 loss_prob: 2.8637 loss_thr: 0.6011 loss_db: 0.2301 loss: 3.6948 2022/08/26 01:01:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:01:49 - mmengine - INFO - Epoch(train) [280][5/63] lr: 5.5153e-03 eta: 6:51:08 time: 0.5331 data_time: 0.1503 memory: 6760 loss_prob: 2.8632 loss_thr: 0.6085 loss_db: 0.2140 loss: 3.6857 2022/08/26 01:01:51 - mmengine - INFO - Epoch(train) [280][10/63] lr: 5.5153e-03 eta: 6:51:03 time: 0.5654 data_time: 0.1620 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6386 loss_db: 0.2259 loss: 3.7268 2022/08/26 01:01:53 - mmengine - INFO - Epoch(train) [280][15/63] lr: 5.5153e-03 eta: 6:51:03 time: 0.3877 data_time: 0.0208 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6255 loss_db: 0.2264 loss: 3.7137 2022/08/26 01:01:55 - mmengine - INFO - Epoch(train) [280][20/63] lr: 5.5153e-03 eta: 6:50:57 time: 0.3739 data_time: 0.0189 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6039 loss_db: 0.2202 loss: 3.6862 2022/08/26 01:01:56 - mmengine - INFO - Epoch(train) [280][25/63] lr: 5.5153e-03 eta: 6:50:57 time: 0.3779 data_time: 0.0226 memory: 6760 loss_prob: 2.8624 loss_thr: 0.5847 loss_db: 0.2144 loss: 3.6615 2022/08/26 01:02:00 - mmengine - INFO - Epoch(train) [280][30/63] lr: 5.5153e-03 eta: 6:50:57 time: 0.5385 data_time: 0.0238 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5733 loss_db: 0.2079 loss: 3.6424 2022/08/26 01:02:02 - mmengine - INFO - Epoch(train) [280][35/63] lr: 5.5153e-03 eta: 6:50:57 time: 0.5484 data_time: 0.0307 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5719 loss_db: 0.1997 loss: 3.6318 2022/08/26 01:02:04 - mmengine - INFO - Epoch(train) [280][40/63] lr: 5.5153e-03 eta: 6:50:51 time: 0.3797 data_time: 0.0207 memory: 6760 loss_prob: 2.8598 loss_thr: 0.5774 loss_db: 0.2069 loss: 3.6441 2022/08/26 01:02:06 - mmengine - INFO - Epoch(train) [280][45/63] lr: 5.5153e-03 eta: 6:50:51 time: 0.3714 data_time: 0.0218 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6084 loss_db: 0.2099 loss: 3.6786 2022/08/26 01:02:08 - mmengine - INFO - Epoch(train) [280][50/63] lr: 5.5153e-03 eta: 6:50:47 time: 0.4280 data_time: 0.0286 memory: 6760 loss_prob: 2.8604 loss_thr: 0.6361 loss_db: 0.2239 loss: 3.7205 2022/08/26 01:02:10 - mmengine - INFO - Epoch(train) [280][55/63] lr: 5.5153e-03 eta: 6:50:47 time: 0.4328 data_time: 0.0258 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6181 loss_db: 0.2222 loss: 3.7000 2022/08/26 01:02:12 - mmengine - INFO - Epoch(train) [280][60/63] lr: 5.5153e-03 eta: 6:50:43 time: 0.4369 data_time: 0.0232 memory: 6760 loss_prob: 2.8639 loss_thr: 0.6282 loss_db: 0.2425 loss: 3.7346 2022/08/26 01:02:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:02:13 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/08/26 01:02:18 - mmengine - INFO - Epoch(val) [280][5/500] eta: 6:50:43 time: 0.2493 data_time: 0.0221 memory: 6760 2022/08/26 01:02:19 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:02:30 time: 0.3070 data_time: 0.0222 memory: 425 2022/08/26 01:02:20 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:02:30 time: 0.2573 data_time: 0.0020 memory: 425 2022/08/26 01:02:22 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:01:53 time: 0.2371 data_time: 0.0019 memory: 425 2022/08/26 01:02:23 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:01:53 time: 0.2539 data_time: 0.0021 memory: 425 2022/08/26 01:02:25 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:02:15 time: 0.2887 data_time: 0.0027 memory: 425 2022/08/26 01:02:26 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:02:15 time: 0.2805 data_time: 0.0025 memory: 425 2022/08/26 01:02:29 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:03:30 time: 0.4576 data_time: 0.0222 memory: 425 2022/08/26 01:02:30 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:03:30 time: 0.4664 data_time: 0.0246 memory: 425 2022/08/26 01:02:32 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:01:58 time: 0.2627 data_time: 0.0044 memory: 425 2022/08/26 01:02:33 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:01:58 time: 0.2997 data_time: 0.0020 memory: 425 2022/08/26 01:02:35 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:02:02 time: 0.2779 data_time: 0.0020 memory: 425 2022/08/26 01:02:36 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:02:02 time: 0.2576 data_time: 0.0019 memory: 425 2022/08/26 01:02:37 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:01:59 time: 0.2787 data_time: 0.0021 memory: 425 2022/08/26 01:02:38 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:01:59 time: 0.2379 data_time: 0.0026 memory: 425 2022/08/26 01:02:39 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:01:32 time: 0.2200 data_time: 0.0030 memory: 425 2022/08/26 01:02:41 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:01:32 time: 0.2430 data_time: 0.0024 memory: 425 2022/08/26 01:02:42 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:02:00 time: 0.2944 data_time: 0.0022 memory: 425 2022/08/26 01:02:44 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:02:00 time: 0.3001 data_time: 0.0025 memory: 425 2022/08/26 01:02:45 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:01:42 time: 0.2575 data_time: 0.0023 memory: 425 2022/08/26 01:02:46 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:01:42 time: 0.2355 data_time: 0.0019 memory: 425 2022/08/26 01:02:48 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:02:03 time: 0.3168 data_time: 0.0019 memory: 425 2022/08/26 01:02:50 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:02:03 time: 0.3683 data_time: 0.0226 memory: 425 2022/08/26 01:02:51 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:01:47 time: 0.2840 data_time: 0.0227 memory: 425 2022/08/26 01:02:53 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:01:47 time: 0.2815 data_time: 0.0020 memory: 425 2022/08/26 01:02:54 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:01:35 time: 0.2570 data_time: 0.0019 memory: 425 2022/08/26 01:02:55 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:01:35 time: 0.2228 data_time: 0.0020 memory: 425 2022/08/26 01:02:56 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:01:32 time: 0.2583 data_time: 0.0021 memory: 425 2022/08/26 01:02:58 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:01:32 time: 0.2830 data_time: 0.0020 memory: 425 2022/08/26 01:02:59 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:01:53 time: 0.3252 data_time: 0.0054 memory: 425 2022/08/26 01:03:01 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:01:53 time: 0.3177 data_time: 0.0054 memory: 425 2022/08/26 01:03:02 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:01:33 time: 0.2747 data_time: 0.0019 memory: 425 2022/08/26 01:03:03 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:01:33 time: 0.2462 data_time: 0.0019 memory: 425 2022/08/26 01:03:05 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:01:31 time: 0.2775 data_time: 0.0019 memory: 425 2022/08/26 01:03:06 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:01:31 time: 0.2882 data_time: 0.0019 memory: 425 2022/08/26 01:03:07 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:01:15 time: 0.2363 data_time: 0.0019 memory: 425 2022/08/26 01:03:10 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:01:15 time: 0.3563 data_time: 0.0115 memory: 425 2022/08/26 01:03:11 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:02:01 time: 0.3923 data_time: 0.0126 memory: 425 2022/08/26 01:03:13 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:02:01 time: 0.2871 data_time: 0.0032 memory: 425 2022/08/26 01:03:14 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:01:30 time: 0.3006 data_time: 0.0021 memory: 425 2022/08/26 01:03:16 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:01:30 time: 0.3266 data_time: 0.0058 memory: 425 2022/08/26 01:03:17 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:01:17 time: 0.2670 data_time: 0.0059 memory: 425 2022/08/26 01:03:18 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:01:17 time: 0.2040 data_time: 0.0027 memory: 425 2022/08/26 01:03:19 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:01:03 time: 0.2267 data_time: 0.0027 memory: 425 2022/08/26 01:03:21 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:01:03 time: 0.2629 data_time: 0.0020 memory: 425 2022/08/26 01:03:22 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:01:05 time: 0.2420 data_time: 0.0018 memory: 425 2022/08/26 01:03:23 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:01:05 time: 0.2324 data_time: 0.0019 memory: 425 2022/08/26 01:03:24 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:01:07 time: 0.2580 data_time: 0.0025 memory: 425 2022/08/26 01:03:25 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:01:07 time: 0.2296 data_time: 0.0025 memory: 425 2022/08/26 01:03:27 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:01:07 time: 0.2688 data_time: 0.0022 memory: 425 2022/08/26 01:03:29 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:01:07 time: 0.4172 data_time: 0.0222 memory: 425 2022/08/26 01:03:31 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:01:26 time: 0.3603 data_time: 0.0300 memory: 425 2022/08/26 01:03:31 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:01:26 time: 0.2001 data_time: 0.0099 memory: 425 2022/08/26 01:03:33 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:58 time: 0.2537 data_time: 0.0020 memory: 425 2022/08/26 01:03:34 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:58 time: 0.2752 data_time: 0.0022 memory: 425 2022/08/26 01:03:36 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:58 time: 0.2645 data_time: 0.0021 memory: 425 2022/08/26 01:03:37 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:58 time: 0.2697 data_time: 0.0019 memory: 425 2022/08/26 01:03:38 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:56 time: 0.2691 data_time: 0.0037 memory: 425 2022/08/26 01:03:40 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:56 time: 0.2781 data_time: 0.0043 memory: 425 2022/08/26 01:03:41 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:51 time: 0.2564 data_time: 0.0025 memory: 425 2022/08/26 01:03:42 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:51 time: 0.2468 data_time: 0.0021 memory: 425 2022/08/26 01:03:43 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:45 time: 0.2420 data_time: 0.0021 memory: 425 2022/08/26 01:03:45 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:45 time: 0.2656 data_time: 0.0020 memory: 425 2022/08/26 01:03:46 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:48 time: 0.2676 data_time: 0.0022 memory: 425 2022/08/26 01:03:49 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:48 time: 0.4299 data_time: 0.0339 memory: 425 2022/08/26 01:03:50 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:01:09 time: 0.4087 data_time: 0.0354 memory: 425 2022/08/26 01:03:51 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:01:09 time: 0.2419 data_time: 0.0040 memory: 425 2022/08/26 01:03:53 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:47 time: 0.2943 data_time: 0.0022 memory: 425 2022/08/26 01:03:54 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:47 time: 0.2752 data_time: 0.0020 memory: 425 2022/08/26 01:03:56 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:50 time: 0.3372 data_time: 0.0021 memory: 425 2022/08/26 01:03:58 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:50 time: 0.3617 data_time: 0.0030 memory: 425 2022/08/26 01:03:59 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:36 time: 0.2581 data_time: 0.0030 memory: 425 2022/08/26 01:04:00 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:36 time: 0.2606 data_time: 0.0021 memory: 425 2022/08/26 01:04:02 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:33 time: 0.2583 data_time: 0.0019 memory: 425 2022/08/26 01:04:03 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:33 time: 0.2271 data_time: 0.0019 memory: 425 2022/08/26 01:04:04 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:29 time: 0.2491 data_time: 0.0022 memory: 425 2022/08/26 01:04:05 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:29 time: 0.2560 data_time: 0.0022 memory: 425 2022/08/26 01:04:06 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:25 time: 0.2298 data_time: 0.0019 memory: 425 2022/08/26 01:04:08 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:25 time: 0.2731 data_time: 0.0018 memory: 425 2022/08/26 01:04:11 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:45 time: 0.4524 data_time: 0.0557 memory: 425 2022/08/26 01:04:12 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:45 time: 0.4166 data_time: 0.0557 memory: 425 2022/08/26 01:04:13 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:22 time: 0.2490 data_time: 0.0019 memory: 425 2022/08/26 01:04:15 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:22 time: 0.2374 data_time: 0.0031 memory: 425 2022/08/26 01:04:16 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:18 time: 0.2340 data_time: 0.0031 memory: 425 2022/08/26 01:04:17 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:18 time: 0.2536 data_time: 0.0019 memory: 425 2022/08/26 01:04:18 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:16 time: 0.2399 data_time: 0.0037 memory: 425 2022/08/26 01:04:19 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:16 time: 0.2132 data_time: 0.0040 memory: 425 2022/08/26 01:04:21 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:14 time: 0.2373 data_time: 0.0024 memory: 425 2022/08/26 01:04:23 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:14 time: 0.3242 data_time: 0.0022 memory: 425 2022/08/26 01:04:24 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:17 time: 0.3481 data_time: 0.0024 memory: 425 2022/08/26 01:04:25 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:17 time: 0.2849 data_time: 0.0025 memory: 425 2022/08/26 01:04:26 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:09 time: 0.2400 data_time: 0.0021 memory: 425 2022/08/26 01:04:28 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:09 time: 0.3035 data_time: 0.0023 memory: 425 2022/08/26 01:04:30 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:11 time: 0.3830 data_time: 0.0245 memory: 425 2022/08/26 01:04:32 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:11 time: 0.3189 data_time: 0.0241 memory: 425 2022/08/26 01:04:33 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:05 time: 0.2500 data_time: 0.0019 memory: 425 2022/08/26 01:04:34 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:05 time: 0.2575 data_time: 0.0020 memory: 425 2022/08/26 01:04:35 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:02 time: 0.2670 data_time: 0.0021 memory: 425 2022/08/26 01:04:37 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:02 time: 0.2543 data_time: 0.0020 memory: 425 2022/08/26 01:04:38 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.2663 data_time: 0.0028 memory: 425 2022/08/26 01:04:38 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 01:04:38 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0058, precision: 0.0001, hmean: 0.0003 2022/08/26 01:04:38 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:04:38 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:04:38 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:04:38 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:04:38 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:04:38 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:04:38 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.0001 icdar/recall: 0.0058 icdar/hmean: 0.0003 2022/08/26 01:04:43 - mmengine - INFO - Epoch(train) [281][5/63] lr: 5.5099e-03 eta: 0:00:00 time: 0.6819 data_time: 0.1808 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6549 loss_db: 0.2530 loss: 3.7696 2022/08/26 01:04:45 - mmengine - INFO - Epoch(train) [281][10/63] lr: 5.5099e-03 eta: 6:50:41 time: 0.6624 data_time: 0.1928 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6114 loss_db: 0.2206 loss: 3.6934 2022/08/26 01:04:47 - mmengine - INFO - Epoch(train) [281][15/63] lr: 5.5099e-03 eta: 6:50:41 time: 0.3897 data_time: 0.0208 memory: 6760 loss_prob: 2.8618 loss_thr: 0.5876 loss_db: 0.2097 loss: 3.6591 2022/08/26 01:04:49 - mmengine - INFO - Epoch(train) [281][20/63] lr: 5.5099e-03 eta: 6:50:36 time: 0.3880 data_time: 0.0140 memory: 6760 loss_prob: 2.8615 loss_thr: 0.5967 loss_db: 0.2137 loss: 3.6719 2022/08/26 01:04:51 - mmengine - INFO - Epoch(train) [281][25/63] lr: 5.5099e-03 eta: 6:50:36 time: 0.3960 data_time: 0.0266 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6180 loss_db: 0.2125 loss: 3.6926 2022/08/26 01:04:53 - mmengine - INFO - Epoch(train) [281][30/63] lr: 5.5099e-03 eta: 6:50:30 time: 0.3922 data_time: 0.0260 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6054 loss_db: 0.2126 loss: 3.6794 2022/08/26 01:04:55 - mmengine - INFO - Epoch(train) [281][35/63] lr: 5.5099e-03 eta: 6:50:30 time: 0.3791 data_time: 0.0189 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5987 loss_db: 0.2240 loss: 3.6823 2022/08/26 01:04:56 - mmengine - INFO - Epoch(train) [281][40/63] lr: 5.5099e-03 eta: 6:50:24 time: 0.3726 data_time: 0.0189 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5999 loss_db: 0.2283 loss: 3.6883 2022/08/26 01:05:00 - mmengine - INFO - Epoch(train) [281][45/63] lr: 5.5099e-03 eta: 6:50:24 time: 0.5277 data_time: 0.0300 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6276 loss_db: 0.2314 loss: 3.7200 2022/08/26 01:05:02 - mmengine - INFO - Epoch(train) [281][50/63] lr: 5.5099e-03 eta: 6:50:24 time: 0.5430 data_time: 0.0401 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6280 loss_db: 0.2341 loss: 3.7231 2022/08/26 01:05:04 - mmengine - INFO - Epoch(train) [281][55/63] lr: 5.5099e-03 eta: 6:50:24 time: 0.4332 data_time: 0.0260 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6170 loss_db: 0.2380 loss: 3.7150 2022/08/26 01:05:06 - mmengine - INFO - Epoch(train) [281][60/63] lr: 5.5099e-03 eta: 6:50:20 time: 0.4257 data_time: 0.0175 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6223 loss_db: 0.2327 loss: 3.7142 2022/08/26 01:05:07 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:05:11 - mmengine - INFO - Epoch(train) [282][5/63] lr: 5.5045e-03 eta: 6:50:20 time: 0.5132 data_time: 0.1727 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5665 loss_db: 0.1936 loss: 3.6192 2022/08/26 01:05:13 - mmengine - INFO - Epoch(train) [282][10/63] lr: 5.5045e-03 eta: 6:50:14 time: 0.5375 data_time: 0.1854 memory: 6760 loss_prob: 2.8578 loss_thr: 0.5498 loss_db: 0.1916 loss: 3.5992 2022/08/26 01:05:14 - mmengine - INFO - Epoch(train) [282][15/63] lr: 5.5045e-03 eta: 6:50:14 time: 0.3883 data_time: 0.0280 memory: 6760 loss_prob: 2.8586 loss_thr: 0.5419 loss_db: 0.1999 loss: 3.6004 2022/08/26 01:05:16 - mmengine - INFO - Epoch(train) [282][20/63] lr: 5.5045e-03 eta: 6:50:08 time: 0.3924 data_time: 0.0202 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5973 loss_db: 0.2126 loss: 3.6695 2022/08/26 01:05:20 - mmengine - INFO - Epoch(train) [282][25/63] lr: 5.5045e-03 eta: 6:50:08 time: 0.5760 data_time: 0.0336 memory: 6760 loss_prob: 2.8596 loss_thr: 0.6103 loss_db: 0.2120 loss: 3.6820 2022/08/26 01:05:22 - mmengine - INFO - Epoch(train) [282][30/63] lr: 5.5045e-03 eta: 6:50:08 time: 0.5639 data_time: 0.0306 memory: 6760 loss_prob: 2.8578 loss_thr: 0.5726 loss_db: 0.2109 loss: 3.6413 2022/08/26 01:05:24 - mmengine - INFO - Epoch(train) [282][35/63] lr: 5.5045e-03 eta: 6:50:08 time: 0.3769 data_time: 0.0212 memory: 6760 loss_prob: 2.8566 loss_thr: 0.6078 loss_db: 0.2425 loss: 3.7069 2022/08/26 01:05:26 - mmengine - INFO - Epoch(train) [282][40/63] lr: 5.5045e-03 eta: 6:50:03 time: 0.3761 data_time: 0.0210 memory: 6760 loss_prob: 2.8575 loss_thr: 0.6613 loss_db: 0.2446 loss: 3.7633 2022/08/26 01:05:28 - mmengine - INFO - Epoch(train) [282][45/63] lr: 5.5045e-03 eta: 6:50:03 time: 0.3847 data_time: 0.0246 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6487 loss_db: 0.2320 loss: 3.7399 2022/08/26 01:05:30 - mmengine - INFO - Epoch(train) [282][50/63] lr: 5.5045e-03 eta: 6:49:57 time: 0.3904 data_time: 0.0219 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6021 loss_db: 0.2147 loss: 3.6777 2022/08/26 01:05:32 - mmengine - INFO - Epoch(train) [282][55/63] lr: 5.5045e-03 eta: 6:49:57 time: 0.3886 data_time: 0.0155 memory: 6760 loss_prob: 2.8621 loss_thr: 0.5768 loss_db: 0.1866 loss: 3.6255 2022/08/26 01:05:34 - mmengine - INFO - Epoch(train) [282][60/63] lr: 5.5045e-03 eta: 6:49:52 time: 0.3816 data_time: 0.0186 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6079 loss_db: 0.2162 loss: 3.6859 2022/08/26 01:05:35 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:05:39 - mmengine - INFO - Epoch(train) [283][5/63] lr: 5.4991e-03 eta: 6:49:52 time: 0.5980 data_time: 0.1523 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6080 loss_db: 0.2189 loss: 3.6887 2022/08/26 01:05:41 - mmengine - INFO - Epoch(train) [283][10/63] lr: 5.4991e-03 eta: 6:49:48 time: 0.6148 data_time: 0.1615 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6189 loss_db: 0.2201 loss: 3.7006 2022/08/26 01:05:43 - mmengine - INFO - Epoch(train) [283][15/63] lr: 5.4991e-03 eta: 6:49:48 time: 0.3886 data_time: 0.0245 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6292 loss_db: 0.2191 loss: 3.7098 2022/08/26 01:05:45 - mmengine - INFO - Epoch(train) [283][20/63] lr: 5.4991e-03 eta: 6:49:43 time: 0.3889 data_time: 0.0174 memory: 6760 loss_prob: 2.8617 loss_thr: 0.5942 loss_db: 0.2089 loss: 3.6647 2022/08/26 01:05:47 - mmengine - INFO - Epoch(train) [283][25/63] lr: 5.4991e-03 eta: 6:49:43 time: 0.3952 data_time: 0.0275 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6086 loss_db: 0.2090 loss: 3.6789 2022/08/26 01:05:49 - mmengine - INFO - Epoch(train) [283][30/63] lr: 5.4991e-03 eta: 6:49:40 time: 0.4598 data_time: 0.0255 memory: 6760 loss_prob: 2.8606 loss_thr: 0.5915 loss_db: 0.2179 loss: 3.6700 2022/08/26 01:05:51 - mmengine - INFO - Epoch(train) [283][35/63] lr: 5.4991e-03 eta: 6:49:40 time: 0.4546 data_time: 0.0262 memory: 6760 loss_prob: 2.8611 loss_thr: 0.5805 loss_db: 0.2314 loss: 3.6730 2022/08/26 01:05:53 - mmengine - INFO - Epoch(train) [283][40/63] lr: 5.4991e-03 eta: 6:49:34 time: 0.3891 data_time: 0.0219 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6055 loss_db: 0.2117 loss: 3.6785 2022/08/26 01:05:55 - mmengine - INFO - Epoch(train) [283][45/63] lr: 5.4991e-03 eta: 6:49:34 time: 0.3945 data_time: 0.0184 memory: 6760 loss_prob: 2.8587 loss_thr: 0.5809 loss_db: 0.2075 loss: 3.6472 2022/08/26 01:05:57 - mmengine - INFO - Epoch(train) [283][50/63] lr: 5.4991e-03 eta: 6:49:29 time: 0.3928 data_time: 0.0286 memory: 6760 loss_prob: 2.8575 loss_thr: 0.5843 loss_db: 0.2255 loss: 3.6673 2022/08/26 01:06:00 - mmengine - INFO - Epoch(train) [283][55/63] lr: 5.4991e-03 eta: 6:49:29 time: 0.4586 data_time: 0.0264 memory: 6760 loss_prob: 2.8581 loss_thr: 0.5885 loss_db: 0.2093 loss: 3.6559 2022/08/26 01:06:02 - mmengine - INFO - Epoch(train) [283][60/63] lr: 5.4991e-03 eta: 6:49:27 time: 0.5007 data_time: 0.0263 memory: 6760 loss_prob: 2.8591 loss_thr: 0.5961 loss_db: 0.2153 loss: 3.6706 2022/08/26 01:06:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:06:07 - mmengine - INFO - Epoch(train) [284][5/63] lr: 5.4937e-03 eta: 6:49:27 time: 0.5315 data_time: 0.1600 memory: 6760 loss_prob: 2.8602 loss_thr: 0.6060 loss_db: 0.2145 loss: 3.6807 2022/08/26 01:06:09 - mmengine - INFO - Epoch(train) [284][10/63] lr: 5.4937e-03 eta: 6:49:21 time: 0.5342 data_time: 0.1778 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6194 loss_db: 0.2328 loss: 3.7134 2022/08/26 01:06:10 - mmengine - INFO - Epoch(train) [284][15/63] lr: 5.4937e-03 eta: 6:49:21 time: 0.3759 data_time: 0.0282 memory: 6760 loss_prob: 2.8626 loss_thr: 0.6403 loss_db: 0.2263 loss: 3.7292 2022/08/26 01:06:12 - mmengine - INFO - Epoch(train) [284][20/63] lr: 5.4937e-03 eta: 6:49:15 time: 0.3643 data_time: 0.0132 memory: 6760 loss_prob: 2.8622 loss_thr: 0.6209 loss_db: 0.2109 loss: 3.6940 2022/08/26 01:06:14 - mmengine - INFO - Epoch(train) [284][25/63] lr: 5.4937e-03 eta: 6:49:15 time: 0.3758 data_time: 0.0211 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6054 loss_db: 0.2184 loss: 3.6855 2022/08/26 01:06:16 - mmengine - INFO - Epoch(train) [284][30/63] lr: 5.4937e-03 eta: 6:49:10 time: 0.4031 data_time: 0.0177 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6068 loss_db: 0.2107 loss: 3.6805 2022/08/26 01:06:19 - mmengine - INFO - Epoch(train) [284][35/63] lr: 5.4937e-03 eta: 6:49:10 time: 0.4885 data_time: 0.0300 memory: 6760 loss_prob: 2.8640 loss_thr: 0.6123 loss_db: 0.2054 loss: 3.6816 2022/08/26 01:06:21 - mmengine - INFO - Epoch(train) [284][40/63] lr: 5.4937e-03 eta: 6:49:07 time: 0.4807 data_time: 0.0434 memory: 6760 loss_prob: 2.8626 loss_thr: 0.5937 loss_db: 0.2104 loss: 3.6667 2022/08/26 01:06:23 - mmengine - INFO - Epoch(train) [284][45/63] lr: 5.4937e-03 eta: 6:49:07 time: 0.4291 data_time: 0.0291 memory: 6760 loss_prob: 2.8614 loss_thr: 0.5786 loss_db: 0.2052 loss: 3.6452 2022/08/26 01:06:25 - mmengine - INFO - Epoch(train) [284][50/63] lr: 5.4937e-03 eta: 6:49:03 time: 0.4275 data_time: 0.0234 memory: 6760 loss_prob: 2.8623 loss_thr: 0.5724 loss_db: 0.1959 loss: 3.6306 2022/08/26 01:06:27 - mmengine - INFO - Epoch(train) [284][55/63] lr: 5.4937e-03 eta: 6:49:03 time: 0.3946 data_time: 0.0175 memory: 6760 loss_prob: 2.8631 loss_thr: 0.5681 loss_db: 0.1984 loss: 3.6296 2022/08/26 01:06:29 - mmengine - INFO - Epoch(train) [284][60/63] lr: 5.4937e-03 eta: 6:48:58 time: 0.4072 data_time: 0.0151 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6003 loss_db: 0.2067 loss: 3.6694 2022/08/26 01:06:31 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:06:34 - mmengine - INFO - Epoch(train) [285][5/63] lr: 5.4883e-03 eta: 6:48:58 time: 0.5249 data_time: 0.1599 memory: 6760 loss_prob: 2.8640 loss_thr: 0.5594 loss_db: 0.1979 loss: 3.6214 2022/08/26 01:06:36 - mmengine - INFO - Epoch(train) [285][10/63] lr: 5.4883e-03 eta: 6:48:52 time: 0.5389 data_time: 0.1602 memory: 6760 loss_prob: 2.8633 loss_thr: 0.5861 loss_db: 0.2127 loss: 3.6621 2022/08/26 01:06:38 - mmengine - INFO - Epoch(train) [285][15/63] lr: 5.4883e-03 eta: 6:48:52 time: 0.3933 data_time: 0.0164 memory: 6760 loss_prob: 2.8620 loss_thr: 0.5761 loss_db: 0.2073 loss: 3.6454 2022/08/26 01:06:40 - mmengine - INFO - Epoch(train) [285][20/63] lr: 5.4883e-03 eta: 6:48:47 time: 0.4055 data_time: 0.0355 memory: 6760 loss_prob: 2.8621 loss_thr: 0.5774 loss_db: 0.1991 loss: 3.6386 2022/08/26 01:06:42 - mmengine - INFO - Epoch(train) [285][25/63] lr: 5.4883e-03 eta: 6:48:47 time: 0.4291 data_time: 0.0392 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5891 loss_db: 0.2010 loss: 3.6506 2022/08/26 01:06:44 - mmengine - INFO - Epoch(train) [285][30/63] lr: 5.4883e-03 eta: 6:48:43 time: 0.4117 data_time: 0.0213 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5777 loss_db: 0.2079 loss: 3.6454 2022/08/26 01:06:46 - mmengine - INFO - Epoch(train) [285][35/63] lr: 5.4883e-03 eta: 6:48:43 time: 0.4011 data_time: 0.0239 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5851 loss_db: 0.2124 loss: 3.6575 2022/08/26 01:06:48 - mmengine - INFO - Epoch(train) [285][40/63] lr: 5.4883e-03 eta: 6:48:38 time: 0.4166 data_time: 0.0184 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5866 loss_db: 0.2024 loss: 3.6497 2022/08/26 01:06:50 - mmengine - INFO - Epoch(train) [285][45/63] lr: 5.4883e-03 eta: 6:48:38 time: 0.4215 data_time: 0.0215 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5704 loss_db: 0.2113 loss: 3.6421 2022/08/26 01:06:52 - mmengine - INFO - Epoch(train) [285][50/63] lr: 5.4883e-03 eta: 6:48:33 time: 0.4010 data_time: 0.0304 memory: 6760 loss_prob: 2.8604 loss_thr: 0.5665 loss_db: 0.1987 loss: 3.6256 2022/08/26 01:06:54 - mmengine - INFO - Epoch(train) [285][55/63] lr: 5.4883e-03 eta: 6:48:33 time: 0.3903 data_time: 0.0261 memory: 6760 loss_prob: 2.8606 loss_thr: 0.5810 loss_db: 0.1925 loss: 3.6340 2022/08/26 01:06:56 - mmengine - INFO - Epoch(train) [285][60/63] lr: 5.4883e-03 eta: 6:48:28 time: 0.3902 data_time: 0.0218 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6060 loss_db: 0.2300 loss: 3.6957 2022/08/26 01:06:57 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:07:03 - mmengine - INFO - Epoch(train) [286][5/63] lr: 5.4829e-03 eta: 6:48:28 time: 0.7133 data_time: 0.2773 memory: 6760 loss_prob: 2.8589 loss_thr: 0.6150 loss_db: 0.2123 loss: 3.6862 2022/08/26 01:07:05 - mmengine - INFO - Epoch(train) [286][10/63] lr: 5.4829e-03 eta: 6:48:28 time: 0.7437 data_time: 0.2924 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6056 loss_db: 0.2082 loss: 3.6726 2022/08/26 01:07:06 - mmengine - INFO - Epoch(train) [286][15/63] lr: 5.4829e-03 eta: 6:48:28 time: 0.3924 data_time: 0.0299 memory: 6760 loss_prob: 2.8592 loss_thr: 0.5798 loss_db: 0.2020 loss: 3.6409 2022/08/26 01:07:09 - mmengine - INFO - Epoch(train) [286][20/63] lr: 5.4829e-03 eta: 6:48:24 time: 0.4130 data_time: 0.0194 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5909 loss_db: 0.2056 loss: 3.6560 2022/08/26 01:07:11 - mmengine - INFO - Epoch(train) [286][25/63] lr: 5.4829e-03 eta: 6:48:24 time: 0.4217 data_time: 0.0240 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5862 loss_db: 0.2040 loss: 3.6491 2022/08/26 01:07:13 - mmengine - INFO - Epoch(train) [286][30/63] lr: 5.4829e-03 eta: 6:48:18 time: 0.3905 data_time: 0.0212 memory: 6760 loss_prob: 2.8580 loss_thr: 0.5477 loss_db: 0.1894 loss: 3.5951 2022/08/26 01:07:15 - mmengine - INFO - Epoch(train) [286][35/63] lr: 5.4829e-03 eta: 6:48:18 time: 0.3942 data_time: 0.0234 memory: 6760 loss_prob: 2.8585 loss_thr: 0.5700 loss_db: 0.2038 loss: 3.6322 2022/08/26 01:07:17 - mmengine - INFO - Epoch(train) [286][40/63] lr: 5.4829e-03 eta: 6:48:13 time: 0.3964 data_time: 0.0238 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5929 loss_db: 0.2177 loss: 3.6710 2022/08/26 01:07:20 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:07:21 - mmengine - INFO - Epoch(train) [286][45/63] lr: 5.4829e-03 eta: 6:48:13 time: 0.5872 data_time: 0.0191 memory: 6760 loss_prob: 2.8610 loss_thr: 0.5780 loss_db: 0.2172 loss: 3.6562 2022/08/26 01:07:22 - mmengine - INFO - Epoch(train) [286][50/63] lr: 5.4829e-03 eta: 6:48:14 time: 0.5868 data_time: 0.0274 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5893 loss_db: 0.2169 loss: 3.6664 2022/08/26 01:07:24 - mmengine - INFO - Epoch(train) [286][55/63] lr: 5.4829e-03 eta: 6:48:14 time: 0.3764 data_time: 0.0279 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6131 loss_db: 0.2141 loss: 3.6877 2022/08/26 01:07:26 - mmengine - INFO - Epoch(train) [286][60/63] lr: 5.4829e-03 eta: 6:48:08 time: 0.3765 data_time: 0.0248 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6042 loss_db: 0.2144 loss: 3.6799 2022/08/26 01:07:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:07:31 - mmengine - INFO - Epoch(train) [287][5/63] lr: 5.4775e-03 eta: 6:48:08 time: 0.5135 data_time: 0.1488 memory: 6760 loss_prob: 2.8627 loss_thr: 0.6179 loss_db: 0.2068 loss: 3.6874 2022/08/26 01:07:32 - mmengine - INFO - Epoch(train) [287][10/63] lr: 5.4775e-03 eta: 6:48:01 time: 0.5090 data_time: 0.1523 memory: 6760 loss_prob: 2.8635 loss_thr: 0.6253 loss_db: 0.2249 loss: 3.7136 2022/08/26 01:07:34 - mmengine - INFO - Epoch(train) [287][15/63] lr: 5.4775e-03 eta: 6:48:01 time: 0.3723 data_time: 0.0197 memory: 6760 loss_prob: 2.8624 loss_thr: 0.6108 loss_db: 0.2259 loss: 3.6990 2022/08/26 01:07:36 - mmengine - INFO - Epoch(train) [287][20/63] lr: 5.4775e-03 eta: 6:47:56 time: 0.3809 data_time: 0.0238 memory: 6760 loss_prob: 2.8606 loss_thr: 0.5747 loss_db: 0.2074 loss: 3.6427 2022/08/26 01:07:40 - mmengine - INFO - Epoch(train) [287][25/63] lr: 5.4775e-03 eta: 6:47:56 time: 0.6038 data_time: 0.0242 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5861 loss_db: 0.2062 loss: 3.6536 2022/08/26 01:07:42 - mmengine - INFO - Epoch(train) [287][30/63] lr: 5.4775e-03 eta: 6:47:58 time: 0.6238 data_time: 0.0251 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6042 loss_db: 0.2163 loss: 3.6813 2022/08/26 01:07:44 - mmengine - INFO - Epoch(train) [287][35/63] lr: 5.4775e-03 eta: 6:47:58 time: 0.3959 data_time: 0.0271 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5978 loss_db: 0.2174 loss: 3.6747 2022/08/26 01:07:46 - mmengine - INFO - Epoch(train) [287][40/63] lr: 5.4775e-03 eta: 6:47:52 time: 0.3723 data_time: 0.0183 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5990 loss_db: 0.2099 loss: 3.6678 2022/08/26 01:07:48 - mmengine - INFO - Epoch(train) [287][45/63] lr: 5.4775e-03 eta: 6:47:52 time: 0.3995 data_time: 0.0256 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6072 loss_db: 0.2123 loss: 3.6794 2022/08/26 01:07:50 - mmengine - INFO - Epoch(train) [287][50/63] lr: 5.4775e-03 eta: 6:47:47 time: 0.4109 data_time: 0.0321 memory: 6760 loss_prob: 2.8615 loss_thr: 0.6385 loss_db: 0.2151 loss: 3.7152 2022/08/26 01:07:52 - mmengine - INFO - Epoch(train) [287][55/63] lr: 5.4775e-03 eta: 6:47:47 time: 0.4022 data_time: 0.0224 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6213 loss_db: 0.2124 loss: 3.6951 2022/08/26 01:07:54 - mmengine - INFO - Epoch(train) [287][60/63] lr: 5.4775e-03 eta: 6:47:42 time: 0.3919 data_time: 0.0178 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6042 loss_db: 0.2167 loss: 3.6819 2022/08/26 01:07:55 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:07:59 - mmengine - INFO - Epoch(train) [288][5/63] lr: 5.4721e-03 eta: 6:47:42 time: 0.5622 data_time: 0.1513 memory: 6760 loss_prob: 2.8628 loss_thr: 0.5908 loss_db: 0.2076 loss: 3.6612 2022/08/26 01:08:01 - mmengine - INFO - Epoch(train) [288][10/63] lr: 5.4721e-03 eta: 6:47:38 time: 0.6010 data_time: 0.1691 memory: 6760 loss_prob: 2.8630 loss_thr: 0.6034 loss_db: 0.2086 loss: 3.6750 2022/08/26 01:08:03 - mmengine - INFO - Epoch(train) [288][15/63] lr: 5.4721e-03 eta: 6:47:38 time: 0.4028 data_time: 0.0280 memory: 6760 loss_prob: 2.8622 loss_thr: 0.5969 loss_db: 0.2079 loss: 3.6670 2022/08/26 01:08:05 - mmengine - INFO - Epoch(train) [288][20/63] lr: 5.4721e-03 eta: 6:47:32 time: 0.3804 data_time: 0.0139 memory: 6760 loss_prob: 2.8623 loss_thr: 0.5948 loss_db: 0.2013 loss: 3.6583 2022/08/26 01:08:07 - mmengine - INFO - Epoch(train) [288][25/63] lr: 5.4721e-03 eta: 6:47:32 time: 0.3930 data_time: 0.0237 memory: 6760 loss_prob: 2.8638 loss_thr: 0.5879 loss_db: 0.1879 loss: 3.6397 2022/08/26 01:08:09 - mmengine - INFO - Epoch(train) [288][30/63] lr: 5.4721e-03 eta: 6:47:28 time: 0.4370 data_time: 0.0207 memory: 6760 loss_prob: 2.8637 loss_thr: 0.5674 loss_db: 0.1980 loss: 3.6290 2022/08/26 01:08:12 - mmengine - INFO - Epoch(train) [288][35/63] lr: 5.4721e-03 eta: 6:47:28 time: 0.5196 data_time: 0.0729 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5620 loss_db: 0.2108 loss: 3.6340 2022/08/26 01:08:14 - mmengine - INFO - Epoch(train) [288][40/63] lr: 5.4721e-03 eta: 6:47:25 time: 0.4577 data_time: 0.0750 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5991 loss_db: 0.2268 loss: 3.6862 2022/08/26 01:08:16 - mmengine - INFO - Epoch(train) [288][45/63] lr: 5.4721e-03 eta: 6:47:25 time: 0.3625 data_time: 0.0193 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5908 loss_db: 0.2193 loss: 3.6704 2022/08/26 01:08:18 - mmengine - INFO - Epoch(train) [288][50/63] lr: 5.4721e-03 eta: 6:47:19 time: 0.3750 data_time: 0.0221 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5690 loss_db: 0.2084 loss: 3.6379 2022/08/26 01:08:20 - mmengine - INFO - Epoch(train) [288][55/63] lr: 5.4721e-03 eta: 6:47:19 time: 0.3992 data_time: 0.0189 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6068 loss_db: 0.2231 loss: 3.6916 2022/08/26 01:08:22 - mmengine - INFO - Epoch(train) [288][60/63] lr: 5.4721e-03 eta: 6:47:14 time: 0.4110 data_time: 0.0232 memory: 6760 loss_prob: 2.8641 loss_thr: 0.6229 loss_db: 0.2174 loss: 3.7043 2022/08/26 01:08:23 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:08:26 - mmengine - INFO - Epoch(train) [289][5/63] lr: 5.4667e-03 eta: 6:47:14 time: 0.5062 data_time: 0.1571 memory: 6760 loss_prob: 2.8629 loss_thr: 0.5948 loss_db: 0.2056 loss: 3.6633 2022/08/26 01:08:30 - mmengine - INFO - Epoch(train) [289][10/63] lr: 5.4667e-03 eta: 6:47:13 time: 0.6912 data_time: 0.2445 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5911 loss_db: 0.2175 loss: 3.6681 2022/08/26 01:08:32 - mmengine - INFO - Epoch(train) [289][15/63] lr: 5.4667e-03 eta: 6:47:13 time: 0.5461 data_time: 0.1001 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5993 loss_db: 0.2172 loss: 3.6754 2022/08/26 01:08:34 - mmengine - INFO - Epoch(train) [289][20/63] lr: 5.4667e-03 eta: 6:47:08 time: 0.3999 data_time: 0.0246 memory: 6760 loss_prob: 2.8595 loss_thr: 0.6011 loss_db: 0.2066 loss: 3.6672 2022/08/26 01:08:36 - mmengine - INFO - Epoch(train) [289][25/63] lr: 5.4667e-03 eta: 6:47:08 time: 0.3975 data_time: 0.0262 memory: 6760 loss_prob: 2.8587 loss_thr: 0.6117 loss_db: 0.2224 loss: 3.6929 2022/08/26 01:08:37 - mmengine - INFO - Epoch(train) [289][30/63] lr: 5.4667e-03 eta: 6:47:02 time: 0.3737 data_time: 0.0159 memory: 6760 loss_prob: 2.8588 loss_thr: 0.6008 loss_db: 0.2177 loss: 3.6773 2022/08/26 01:08:40 - mmengine - INFO - Epoch(train) [289][35/63] lr: 5.4667e-03 eta: 6:47:02 time: 0.4094 data_time: 0.0216 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6001 loss_db: 0.2125 loss: 3.6729 2022/08/26 01:08:42 - mmengine - INFO - Epoch(train) [289][40/63] lr: 5.4667e-03 eta: 6:46:58 time: 0.4160 data_time: 0.0219 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6096 loss_db: 0.2232 loss: 3.6933 2022/08/26 01:08:44 - mmengine - INFO - Epoch(train) [289][45/63] lr: 5.4667e-03 eta: 6:46:58 time: 0.3901 data_time: 0.0219 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6120 loss_db: 0.2114 loss: 3.6847 2022/08/26 01:08:47 - mmengine - INFO - Epoch(train) [289][50/63] lr: 5.4667e-03 eta: 6:46:56 time: 0.5129 data_time: 0.0989 memory: 6760 loss_prob: 2.8620 loss_thr: 0.6080 loss_db: 0.2082 loss: 3.6783 2022/08/26 01:08:49 - mmengine - INFO - Epoch(train) [289][55/63] lr: 5.4667e-03 eta: 6:46:56 time: 0.5046 data_time: 0.0895 memory: 6760 loss_prob: 2.8618 loss_thr: 0.5726 loss_db: 0.2110 loss: 3.6455 2022/08/26 01:08:51 - mmengine - INFO - Epoch(train) [289][60/63] lr: 5.4667e-03 eta: 6:46:51 time: 0.3983 data_time: 0.0186 memory: 6760 loss_prob: 2.8616 loss_thr: 0.5681 loss_db: 0.2177 loss: 3.6475 2022/08/26 01:08:52 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:08:55 - mmengine - INFO - Epoch(train) [290][5/63] lr: 5.4613e-03 eta: 6:46:51 time: 0.5180 data_time: 0.1681 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5842 loss_db: 0.2260 loss: 3.6703 2022/08/26 01:08:57 - mmengine - INFO - Epoch(train) [290][10/63] lr: 5.4613e-03 eta: 6:46:46 time: 0.5499 data_time: 0.1850 memory: 6760 loss_prob: 2.8597 loss_thr: 0.5902 loss_db: 0.2090 loss: 3.6588 2022/08/26 01:09:00 - mmengine - INFO - Epoch(train) [290][15/63] lr: 5.4613e-03 eta: 6:46:46 time: 0.5003 data_time: 0.0323 memory: 6760 loss_prob: 2.8584 loss_thr: 0.5899 loss_db: 0.2061 loss: 3.6544 2022/08/26 01:09:02 - mmengine - INFO - Epoch(train) [290][20/63] lr: 5.4613e-03 eta: 6:46:43 time: 0.4914 data_time: 0.0263 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5978 loss_db: 0.2181 loss: 3.6748 2022/08/26 01:09:04 - mmengine - INFO - Epoch(train) [290][25/63] lr: 5.4613e-03 eta: 6:46:43 time: 0.3897 data_time: 0.0238 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6131 loss_db: 0.2393 loss: 3.7124 2022/08/26 01:09:06 - mmengine - INFO - Epoch(train) [290][30/63] lr: 5.4613e-03 eta: 6:46:38 time: 0.3851 data_time: 0.0194 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6031 loss_db: 0.2331 loss: 3.6965 2022/08/26 01:09:08 - mmengine - INFO - Epoch(train) [290][35/63] lr: 5.4613e-03 eta: 6:46:38 time: 0.3893 data_time: 0.0297 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5574 loss_db: 0.2018 loss: 3.6191 2022/08/26 01:09:10 - mmengine - INFO - Epoch(train) [290][40/63] lr: 5.4613e-03 eta: 6:46:33 time: 0.4100 data_time: 0.0341 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5538 loss_db: 0.1991 loss: 3.6130 2022/08/26 01:09:12 - mmengine - INFO - Epoch(train) [290][45/63] lr: 5.4613e-03 eta: 6:46:33 time: 0.3953 data_time: 0.0269 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5860 loss_db: 0.2276 loss: 3.6735 2022/08/26 01:09:14 - mmengine - INFO - Epoch(train) [290][50/63] lr: 5.4613e-03 eta: 6:46:28 time: 0.3839 data_time: 0.0223 memory: 6760 loss_prob: 2.8586 loss_thr: 0.6003 loss_db: 0.2378 loss: 3.6967 2022/08/26 01:09:16 - mmengine - INFO - Epoch(train) [290][55/63] lr: 5.4613e-03 eta: 6:46:28 time: 0.3796 data_time: 0.0176 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6121 loss_db: 0.2200 loss: 3.6913 2022/08/26 01:09:18 - mmengine - INFO - Epoch(train) [290][60/63] lr: 5.4613e-03 eta: 6:46:21 time: 0.3637 data_time: 0.0172 memory: 6760 loss_prob: 2.8583 loss_thr: 0.6112 loss_db: 0.2247 loss: 3.6942 2022/08/26 01:09:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:09:25 - mmengine - INFO - Epoch(train) [291][5/63] lr: 5.4559e-03 eta: 6:46:21 time: 0.7740 data_time: 0.2087 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5993 loss_db: 0.2235 loss: 3.6828 2022/08/26 01:09:27 - mmengine - INFO - Epoch(train) [291][10/63] lr: 5.4559e-03 eta: 6:46:16 time: 0.5672 data_time: 0.1925 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6024 loss_db: 0.2194 loss: 3.6830 2022/08/26 01:09:29 - mmengine - INFO - Epoch(train) [291][15/63] lr: 5.4559e-03 eta: 6:46:16 time: 0.3911 data_time: 0.0224 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6087 loss_db: 0.2304 loss: 3.6991 2022/08/26 01:09:30 - mmengine - INFO - Epoch(train) [291][20/63] lr: 5.4559e-03 eta: 6:46:11 time: 0.3893 data_time: 0.0247 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6042 loss_db: 0.2206 loss: 3.6840 2022/08/26 01:09:32 - mmengine - INFO - Epoch(train) [291][25/63] lr: 5.4559e-03 eta: 6:46:11 time: 0.3910 data_time: 0.0268 memory: 6760 loss_prob: 2.8591 loss_thr: 0.6069 loss_db: 0.2307 loss: 3.6967 2022/08/26 01:09:34 - mmengine - INFO - Epoch(train) [291][30/63] lr: 5.4559e-03 eta: 6:46:05 time: 0.3856 data_time: 0.0196 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5857 loss_db: 0.2135 loss: 3.6595 2022/08/26 01:09:36 - mmengine - INFO - Epoch(train) [291][35/63] lr: 5.4559e-03 eta: 6:46:05 time: 0.3870 data_time: 0.0168 memory: 6760 loss_prob: 2.8609 loss_thr: 0.5828 loss_db: 0.2033 loss: 3.6470 2022/08/26 01:09:40 - mmengine - INFO - Epoch(train) [291][40/63] lr: 5.4559e-03 eta: 6:46:04 time: 0.5216 data_time: 0.0183 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6061 loss_db: 0.2160 loss: 3.6828 2022/08/26 01:09:42 - mmengine - INFO - Epoch(train) [291][45/63] lr: 5.4559e-03 eta: 6:46:04 time: 0.5405 data_time: 0.0348 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5973 loss_db: 0.2179 loss: 3.6757 2022/08/26 01:09:44 - mmengine - INFO - Epoch(train) [291][50/63] lr: 5.4559e-03 eta: 6:45:59 time: 0.4053 data_time: 0.0324 memory: 6760 loss_prob: 2.8600 loss_thr: 0.5969 loss_db: 0.2347 loss: 3.6917 2022/08/26 01:09:45 - mmengine - INFO - Epoch(train) [291][55/63] lr: 5.4559e-03 eta: 6:45:59 time: 0.3705 data_time: 0.0161 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5745 loss_db: 0.2219 loss: 3.6566 2022/08/26 01:09:47 - mmengine - INFO - Epoch(train) [291][60/63] lr: 5.4559e-03 eta: 6:45:53 time: 0.3591 data_time: 0.0166 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5626 loss_db: 0.1955 loss: 3.6194 2022/08/26 01:09:48 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:09:52 - mmengine - INFO - Epoch(train) [292][5/63] lr: 5.4505e-03 eta: 6:45:53 time: 0.5179 data_time: 0.1497 memory: 6760 loss_prob: 2.8623 loss_thr: 0.6011 loss_db: 0.2062 loss: 3.6697 2022/08/26 01:09:54 - mmengine - INFO - Epoch(train) [292][10/63] lr: 5.4505e-03 eta: 6:45:47 time: 0.5336 data_time: 0.1596 memory: 6760 loss_prob: 2.8611 loss_thr: 0.5917 loss_db: 0.1993 loss: 3.6521 2022/08/26 01:09:56 - mmengine - INFO - Epoch(train) [292][15/63] lr: 5.4505e-03 eta: 6:45:47 time: 0.4051 data_time: 0.0253 memory: 6760 loss_prob: 2.8656 loss_thr: 0.6027 loss_db: 0.2186 loss: 3.6868 2022/08/26 01:09:58 - mmengine - INFO - Epoch(train) [292][20/63] lr: 5.4505e-03 eta: 6:45:41 time: 0.3855 data_time: 0.0142 memory: 6760 loss_prob: 2.8654 loss_thr: 0.6270 loss_db: 0.2296 loss: 3.7220 2022/08/26 01:10:02 - mmengine - INFO - Epoch(train) [292][25/63] lr: 5.4505e-03 eta: 6:45:41 time: 0.5969 data_time: 0.0333 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5919 loss_db: 0.2081 loss: 3.6589 2022/08/26 01:10:04 - mmengine - INFO - Epoch(train) [292][30/63] lr: 5.4505e-03 eta: 6:45:43 time: 0.6032 data_time: 0.0437 memory: 6760 loss_prob: 2.8580 loss_thr: 0.5790 loss_db: 0.1999 loss: 3.6368 2022/08/26 01:10:06 - mmengine - INFO - Epoch(train) [292][35/63] lr: 5.4505e-03 eta: 6:45:43 time: 0.3988 data_time: 0.0258 memory: 6760 loss_prob: 2.8584 loss_thr: 0.5941 loss_db: 0.2087 loss: 3.6612 2022/08/26 01:10:08 - mmengine - INFO - Epoch(train) [292][40/63] lr: 5.4505e-03 eta: 6:45:37 time: 0.3923 data_time: 0.0164 memory: 6760 loss_prob: 2.8599 loss_thr: 0.6014 loss_db: 0.2113 loss: 3.6726 2022/08/26 01:10:10 - mmengine - INFO - Epoch(train) [292][45/63] lr: 5.4505e-03 eta: 6:45:37 time: 0.3921 data_time: 0.0206 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5892 loss_db: 0.2068 loss: 3.6574 2022/08/26 01:10:12 - mmengine - INFO - Epoch(train) [292][50/63] lr: 5.4505e-03 eta: 6:45:32 time: 0.3905 data_time: 0.0223 memory: 6760 loss_prob: 2.8623 loss_thr: 0.5843 loss_db: 0.1996 loss: 3.6461 2022/08/26 01:10:13 - mmengine - INFO - Epoch(train) [292][55/63] lr: 5.4505e-03 eta: 6:45:32 time: 0.3879 data_time: 0.0214 memory: 6760 loss_prob: 2.8621 loss_thr: 0.6168 loss_db: 0.2095 loss: 3.6884 2022/08/26 01:10:15 - mmengine - INFO - Epoch(train) [292][60/63] lr: 5.4505e-03 eta: 6:45:27 time: 0.3897 data_time: 0.0225 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6378 loss_db: 0.2128 loss: 3.7121 2022/08/26 01:10:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:10:21 - mmengine - INFO - Epoch(train) [293][5/63] lr: 5.4451e-03 eta: 6:45:27 time: 0.6046 data_time: 0.1768 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6269 loss_db: 0.2255 loss: 3.7136 2022/08/26 01:10:23 - mmengine - INFO - Epoch(train) [293][10/63] lr: 5.4451e-03 eta: 6:45:23 time: 0.6146 data_time: 0.1755 memory: 6760 loss_prob: 2.8609 loss_thr: 0.6299 loss_db: 0.2465 loss: 3.7374 2022/08/26 01:10:25 - mmengine - INFO - Epoch(train) [293][15/63] lr: 5.4451e-03 eta: 6:45:23 time: 0.3836 data_time: 0.0170 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6195 loss_db: 0.2490 loss: 3.7279 2022/08/26 01:10:27 - mmengine - INFO - Epoch(train) [293][20/63] lr: 5.4451e-03 eta: 6:45:18 time: 0.3954 data_time: 0.0271 memory: 6760 loss_prob: 2.8575 loss_thr: 0.5755 loss_db: 0.2355 loss: 3.6684 2022/08/26 01:10:28 - mmengine - INFO - Epoch(train) [293][25/63] lr: 5.4451e-03 eta: 6:45:18 time: 0.3935 data_time: 0.0235 memory: 6760 loss_prob: 2.8585 loss_thr: 0.5717 loss_db: 0.2060 loss: 3.6362 2022/08/26 01:10:30 - mmengine - INFO - Epoch(train) [293][30/63] lr: 5.4451e-03 eta: 6:45:12 time: 0.3860 data_time: 0.0190 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5965 loss_db: 0.2005 loss: 3.6569 2022/08/26 01:10:32 - mmengine - INFO - Epoch(train) [293][35/63] lr: 5.4451e-03 eta: 6:45:12 time: 0.3928 data_time: 0.0304 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6155 loss_db: 0.2223 loss: 3.6979 2022/08/26 01:10:35 - mmengine - INFO - Epoch(train) [293][40/63] lr: 5.4451e-03 eta: 6:45:08 time: 0.4065 data_time: 0.0218 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6438 loss_db: 0.2266 loss: 3.7313 2022/08/26 01:10:36 - mmengine - INFO - Epoch(train) [293][45/63] lr: 5.4451e-03 eta: 6:45:08 time: 0.4007 data_time: 0.0148 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6363 loss_db: 0.2194 loss: 3.7163 2022/08/26 01:10:40 - mmengine - INFO - Epoch(train) [293][50/63] lr: 5.4451e-03 eta: 6:45:08 time: 0.5620 data_time: 0.0229 memory: 6760 loss_prob: 2.8589 loss_thr: 0.5992 loss_db: 0.2364 loss: 3.6945 2022/08/26 01:10:42 - mmengine - INFO - Epoch(train) [293][55/63] lr: 5.4451e-03 eta: 6:45:08 time: 0.5849 data_time: 0.0302 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6057 loss_db: 0.2406 loss: 3.7049 2022/08/26 01:10:44 - mmengine - INFO - Epoch(train) [293][60/63] lr: 5.4451e-03 eta: 6:45:03 time: 0.4092 data_time: 0.0298 memory: 6760 loss_prob: 2.8592 loss_thr: 0.6184 loss_db: 0.2148 loss: 3.6924 2022/08/26 01:10:45 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:10:49 - mmengine - INFO - Epoch(train) [294][5/63] lr: 5.4397e-03 eta: 6:45:03 time: 0.5345 data_time: 0.1853 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6148 loss_db: 0.2179 loss: 3.6930 2022/08/26 01:10:51 - mmengine - INFO - Epoch(train) [294][10/63] lr: 5.4397e-03 eta: 6:44:58 time: 0.5634 data_time: 0.2022 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6143 loss_db: 0.2197 loss: 3.6940 2022/08/26 01:10:53 - mmengine - INFO - Epoch(train) [294][15/63] lr: 5.4397e-03 eta: 6:44:58 time: 0.3940 data_time: 0.0297 memory: 6760 loss_prob: 2.8594 loss_thr: 0.6065 loss_db: 0.2146 loss: 3.6806 2022/08/26 01:10:55 - mmengine - INFO - Epoch(train) [294][20/63] lr: 5.4397e-03 eta: 6:44:52 time: 0.3880 data_time: 0.0146 memory: 6760 loss_prob: 2.8602 loss_thr: 0.5971 loss_db: 0.2151 loss: 3.6724 2022/08/26 01:10:57 - mmengine - INFO - Epoch(train) [294][25/63] lr: 5.4397e-03 eta: 6:44:52 time: 0.3873 data_time: 0.0211 memory: 6760 loss_prob: 2.8606 loss_thr: 0.5827 loss_db: 0.2134 loss: 3.6567 2022/08/26 01:11:00 - mmengine - INFO - Epoch(train) [294][30/63] lr: 5.4397e-03 eta: 6:44:52 time: 0.5657 data_time: 0.0154 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5739 loss_db: 0.2082 loss: 3.6423 2022/08/26 01:11:03 - mmengine - INFO - Epoch(train) [294][35/63] lr: 5.4397e-03 eta: 6:44:52 time: 0.5879 data_time: 0.0301 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5954 loss_db: 0.2115 loss: 3.6680 2022/08/26 01:11:04 - mmengine - INFO - Epoch(train) [294][40/63] lr: 5.4397e-03 eta: 6:44:47 time: 0.4013 data_time: 0.0353 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5833 loss_db: 0.2107 loss: 3.6538 2022/08/26 01:11:06 - mmengine - INFO - Epoch(train) [294][45/63] lr: 5.4397e-03 eta: 6:44:47 time: 0.3719 data_time: 0.0192 memory: 6760 loss_prob: 2.8580 loss_thr: 0.6061 loss_db: 0.2142 loss: 3.6783 2022/08/26 01:11:08 - mmengine - INFO - Epoch(train) [294][50/63] lr: 5.4397e-03 eta: 6:44:42 time: 0.3799 data_time: 0.0218 memory: 6760 loss_prob: 2.8600 loss_thr: 0.6109 loss_db: 0.2149 loss: 3.6858 2022/08/26 01:11:10 - mmengine - INFO - Epoch(train) [294][55/63] lr: 5.4397e-03 eta: 6:44:42 time: 0.3987 data_time: 0.0255 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5820 loss_db: 0.2149 loss: 3.6576 2022/08/26 01:11:12 - mmengine - INFO - Epoch(train) [294][60/63] lr: 5.4397e-03 eta: 6:44:37 time: 0.3971 data_time: 0.0242 memory: 6760 loss_prob: 2.8608 loss_thr: 0.6187 loss_db: 0.2208 loss: 3.7003 2022/08/26 01:11:13 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:11:17 - mmengine - INFO - Epoch(train) [295][5/63] lr: 5.4343e-03 eta: 6:44:37 time: 0.5195 data_time: 0.1451 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5711 loss_db: 0.2071 loss: 3.6385 2022/08/26 01:11:20 - mmengine - INFO - Epoch(train) [295][10/63] lr: 5.4343e-03 eta: 6:44:34 time: 0.6398 data_time: 0.1611 memory: 6760 loss_prob: 2.8592 loss_thr: 0.5805 loss_db: 0.2116 loss: 3.6514 2022/08/26 01:11:22 - mmengine - INFO - Epoch(train) [295][15/63] lr: 5.4343e-03 eta: 6:44:34 time: 0.4926 data_time: 0.0327 memory: 6760 loss_prob: 2.8596 loss_thr: 0.5762 loss_db: 0.2026 loss: 3.6384 2022/08/26 01:11:24 - mmengine - INFO - Epoch(train) [295][20/63] lr: 5.4343e-03 eta: 6:44:28 time: 0.3735 data_time: 0.0177 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5661 loss_db: 0.2060 loss: 3.6324 2022/08/26 01:11:26 - mmengine - INFO - Epoch(train) [295][25/63] lr: 5.4343e-03 eta: 6:44:28 time: 0.4322 data_time: 0.0241 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5969 loss_db: 0.2215 loss: 3.6796 2022/08/26 01:11:28 - mmengine - INFO - Epoch(train) [295][30/63] lr: 5.4343e-03 eta: 6:44:24 time: 0.4286 data_time: 0.0206 memory: 6760 loss_prob: 2.8617 loss_thr: 0.6182 loss_db: 0.2209 loss: 3.7008 2022/08/26 01:11:30 - mmengine - INFO - Epoch(train) [295][35/63] lr: 5.4343e-03 eta: 6:44:24 time: 0.3792 data_time: 0.0242 memory: 6760 loss_prob: 2.8609 loss_thr: 0.5972 loss_db: 0.2059 loss: 3.6640 2022/08/26 01:11:32 - mmengine - INFO - Epoch(train) [295][40/63] lr: 5.4343e-03 eta: 6:44:18 time: 0.3935 data_time: 0.0214 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5941 loss_db: 0.2002 loss: 3.6548 2022/08/26 01:11:34 - mmengine - INFO - Epoch(train) [295][45/63] lr: 5.4343e-03 eta: 6:44:18 time: 0.4008 data_time: 0.0155 memory: 6760 loss_prob: 2.8618 loss_thr: 0.5957 loss_db: 0.1944 loss: 3.6520 2022/08/26 01:11:36 - mmengine - INFO - Epoch(train) [295][50/63] lr: 5.4343e-03 eta: 6:44:13 time: 0.3959 data_time: 0.0290 memory: 6760 loss_prob: 2.8622 loss_thr: 0.5563 loss_db: 0.1855 loss: 3.6041 2022/08/26 01:11:38 - mmengine - INFO - Epoch(train) [295][55/63] lr: 5.4343e-03 eta: 6:44:13 time: 0.3890 data_time: 0.0225 memory: 6760 loss_prob: 2.8611 loss_thr: 0.5766 loss_db: 0.2100 loss: 3.6476 2022/08/26 01:11:42 - mmengine - INFO - Epoch(train) [295][60/63] lr: 5.4343e-03 eta: 6:44:16 time: 0.6476 data_time: 0.0235 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6085 loss_db: 0.2172 loss: 3.6871 2022/08/26 01:11:43 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:11:47 - mmengine - INFO - Epoch(train) [296][5/63] lr: 5.4289e-03 eta: 6:44:16 time: 0.5421 data_time: 0.1838 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5959 loss_db: 0.2157 loss: 3.6729 2022/08/26 01:11:49 - mmengine - INFO - Epoch(train) [296][10/63] lr: 5.4289e-03 eta: 6:44:11 time: 0.5675 data_time: 0.1967 memory: 6760 loss_prob: 2.8620 loss_thr: 0.5980 loss_db: 0.2158 loss: 3.6758 2022/08/26 01:11:51 - mmengine - INFO - Epoch(train) [296][15/63] lr: 5.4289e-03 eta: 6:44:11 time: 0.3875 data_time: 0.0226 memory: 6760 loss_prob: 2.8657 loss_thr: 0.5888 loss_db: 0.2189 loss: 3.6734 2022/08/26 01:11:53 - mmengine - INFO - Epoch(train) [296][20/63] lr: 5.4289e-03 eta: 6:44:05 time: 0.3698 data_time: 0.0168 memory: 6760 loss_prob: 2.8664 loss_thr: 0.6018 loss_db: 0.2426 loss: 3.7107 2022/08/26 01:11:55 - mmengine - INFO - Epoch(train) [296][25/63] lr: 5.4289e-03 eta: 6:44:05 time: 0.3783 data_time: 0.0193 memory: 6760 loss_prob: 2.8631 loss_thr: 0.6041 loss_db: 0.2221 loss: 3.6893 2022/08/26 01:11:56 - mmengine - INFO - Epoch(train) [296][30/63] lr: 5.4289e-03 eta: 6:43:59 time: 0.3855 data_time: 0.0175 memory: 6760 loss_prob: 2.8608 loss_thr: 0.5870 loss_db: 0.2030 loss: 3.6508 2022/08/26 01:12:00 - mmengine - INFO - Epoch(train) [296][35/63] lr: 5.4289e-03 eta: 6:43:59 time: 0.5544 data_time: 0.0222 memory: 6760 loss_prob: 2.8599 loss_thr: 0.5906 loss_db: 0.2111 loss: 3.6617 2022/08/26 01:12:03 - mmengine - INFO - Epoch(train) [296][40/63] lr: 5.4289e-03 eta: 6:44:01 time: 0.6053 data_time: 0.0333 memory: 6760 loss_prob: 2.8603 loss_thr: 0.5826 loss_db: 0.1949 loss: 3.6378 2022/08/26 01:12:04 - mmengine - INFO - Epoch(train) [296][45/63] lr: 5.4289e-03 eta: 6:44:01 time: 0.4386 data_time: 0.0385 memory: 6760 loss_prob: 2.8600 loss_thr: 0.5809 loss_db: 0.2053 loss: 3.6462 2022/08/26 01:12:06 - mmengine - INFO - Epoch(train) [296][50/63] lr: 5.4289e-03 eta: 6:43:55 time: 0.3858 data_time: 0.0314 memory: 6760 loss_prob: 2.8600 loss_thr: 0.5946 loss_db: 0.2176 loss: 3.6723 2022/08/26 01:12:08 - mmengine - INFO - Epoch(train) [296][55/63] lr: 5.4289e-03 eta: 6:43:55 time: 0.3724 data_time: 0.0206 memory: 6760 loss_prob: 2.8607 loss_thr: 0.5663 loss_db: 0.2068 loss: 3.6338 2022/08/26 01:12:10 - mmengine - INFO - Epoch(train) [296][60/63] lr: 5.4289e-03 eta: 6:43:49 time: 0.3705 data_time: 0.0157 memory: 6760 loss_prob: 2.8615 loss_thr: 0.5844 loss_db: 0.2087 loss: 3.6546 2022/08/26 01:12:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:12:14 - mmengine - INFO - Epoch(train) [297][5/63] lr: 5.4235e-03 eta: 6:43:49 time: 0.4921 data_time: 0.1469 memory: 6760 loss_prob: 2.8618 loss_thr: 0.6284 loss_db: 0.2325 loss: 3.7227 2022/08/26 01:12:16 - mmengine - INFO - Epoch(train) [297][10/63] lr: 5.4235e-03 eta: 6:43:43 time: 0.5202 data_time: 0.1545 memory: 6760 loss_prob: 2.8608 loss_thr: 0.5721 loss_db: 0.2111 loss: 3.6441 2022/08/26 01:12:18 - mmengine - INFO - Epoch(train) [297][15/63] lr: 5.4235e-03 eta: 6:43:43 time: 0.3923 data_time: 0.0219 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5614 loss_db: 0.1911 loss: 3.6131 2022/08/26 01:12:21 - mmengine - INFO - Epoch(train) [297][20/63] lr: 5.4235e-03 eta: 6:43:39 time: 0.4564 data_time: 0.0283 memory: 6760 loss_prob: 2.8612 loss_thr: 0.6087 loss_db: 0.2211 loss: 3.6911 2022/08/26 01:12:23 - mmengine - INFO - Epoch(train) [297][25/63] lr: 5.4235e-03 eta: 6:43:39 time: 0.4557 data_time: 0.0305 memory: 6760 loss_prob: 2.8614 loss_thr: 0.5934 loss_db: 0.2291 loss: 3.6839 2022/08/26 01:12:25 - mmengine - INFO - Epoch(train) [297][30/63] lr: 5.4235e-03 eta: 6:43:34 time: 0.3823 data_time: 0.0217 memory: 6760 loss_prob: 2.8614 loss_thr: 0.5771 loss_db: 0.2047 loss: 3.6432 2022/08/26 01:12:27 - mmengine - INFO - Epoch(train) [297][35/63] lr: 5.4235e-03 eta: 6:43:34 time: 0.4097 data_time: 0.0245 memory: 6760 loss_prob: 2.8626 loss_thr: 0.5909 loss_db: 0.1957 loss: 3.6492 2022/08/26 01:12:29 - mmengine - INFO - Epoch(train) [297][40/63] lr: 5.4235e-03 eta: 6:43:31 time: 0.4698 data_time: 0.0259 memory: 6760 loss_prob: 2.8629 loss_thr: 0.5984 loss_db: 0.2010 loss: 3.6623 2022/08/26 01:12:31 - mmengine - INFO - Epoch(train) [297][45/63] lr: 5.4235e-03 eta: 6:43:31 time: 0.4533 data_time: 0.0253 memory: 6760 loss_prob: 2.8614 loss_thr: 0.6064 loss_db: 0.2101 loss: 3.6778 2022/08/26 01:12:33 - mmengine - INFO - Epoch(train) [297][50/63] lr: 5.4235e-03 eta: 6:43:25 time: 0.3871 data_time: 0.0231 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6137 loss_db: 0.2164 loss: 3.6904 2022/08/26 01:12:35 - mmengine - INFO - Epoch(train) [297][55/63] lr: 5.4235e-03 eta: 6:43:25 time: 0.3751 data_time: 0.0180 memory: 6760 loss_prob: 2.8619 loss_thr: 0.6076 loss_db: 0.2093 loss: 3.6788 2022/08/26 01:12:37 - mmengine - INFO - Epoch(train) [297][60/63] lr: 5.4235e-03 eta: 6:43:20 time: 0.3843 data_time: 0.0208 memory: 6760 loss_prob: 2.8624 loss_thr: 0.5799 loss_db: 0.1994 loss: 3.6417 2022/08/26 01:12:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:12:43 - mmengine - INFO - Epoch(train) [298][5/63] lr: 5.4181e-03 eta: 6:43:20 time: 0.6270 data_time: 0.2143 memory: 6760 loss_prob: 2.8619 loss_thr: 0.5967 loss_db: 0.2148 loss: 3.6734 2022/08/26 01:12:45 - mmengine - INFO - Epoch(train) [298][10/63] lr: 5.4181e-03 eta: 6:43:17 time: 0.6465 data_time: 0.2246 memory: 6760 loss_prob: 2.8628 loss_thr: 0.5872 loss_db: 0.2033 loss: 3.6533 2022/08/26 01:12:46 - mmengine - INFO - Epoch(train) [298][15/63] lr: 5.4181e-03 eta: 6:43:17 time: 0.3857 data_time: 0.0230 memory: 6760 loss_prob: 2.8629 loss_thr: 0.5736 loss_db: 0.1900 loss: 3.6265 2022/08/26 01:12:48 - mmengine - INFO - Epoch(train) [298][20/63] lr: 5.4181e-03 eta: 6:43:12 time: 0.3794 data_time: 0.0258 memory: 6760 loss_prob: 2.8623 loss_thr: 0.5781 loss_db: 0.2010 loss: 3.6414 2022/08/26 01:12:51 - mmengine - INFO - Epoch(train) [298][25/63] lr: 5.4181e-03 eta: 6:43:12 time: 0.4274 data_time: 0.0283 memory: 6760 loss_prob: 2.8616 loss_thr: 0.6040 loss_db: 0.2107 loss: 3.6764 2022/08/26 01:12:53 - mmengine - INFO - Epoch(train) [298][30/63] lr: 5.4181e-03 eta: 6:43:07 time: 0.4229 data_time: 0.0170 memory: 6760 loss_prob: 2.8611 loss_thr: 0.6003 loss_db: 0.2108 loss: 3.6721 2022/08/26 01:12:55 - mmengine - INFO - Epoch(train) [298][35/63] lr: 5.4181e-03 eta: 6:43:07 time: 0.3890 data_time: 0.0201 memory: 6760 loss_prob: 2.8615 loss_thr: 0.5696 loss_db: 0.2110 loss: 3.6421 2022/08/26 01:12:57 - mmengine - INFO - Epoch(train) [298][40/63] lr: 5.4181e-03 eta: 6:43:02 time: 0.3856 data_time: 0.0183 memory: 6760 loss_prob: 2.8629 loss_thr: 0.5791 loss_db: 0.2107 loss: 3.6527 2022/08/26 01:12:59 - mmengine - INFO - Epoch(train) [298][45/63] lr: 5.4181e-03 eta: 6:43:02 time: 0.4230 data_time: 0.0223 memory: 6760 loss_prob: 2.8622 loss_thr: 0.5971 loss_db: 0.2208 loss: 3.6801 2022/08/26 01:13:02 - mmengine - INFO - Epoch(train) [298][50/63] lr: 5.4181e-03 eta: 6:43:01 time: 0.5228 data_time: 0.0435 memory: 6760 loss_prob: 2.8662 loss_thr: 0.6108 loss_db: 0.2186 loss: 3.6956 2022/08/26 01:13:04 - mmengine - INFO - Epoch(train) [298][55/63] lr: 5.4181e-03 eta: 6:43:01 time: 0.4724 data_time: 0.0355 memory: 6760 loss_prob: 2.8663 loss_thr: 0.6036 loss_db: 0.2160 loss: 3.6860 2022/08/26 01:13:05 - mmengine - INFO - Epoch(train) [298][60/63] lr: 5.4181e-03 eta: 6:42:55 time: 0.3719 data_time: 0.0198 memory: 6760 loss_prob: 2.8613 loss_thr: 0.5775 loss_db: 0.2159 loss: 3.6547 2022/08/26 01:13:06 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:13:10 - mmengine - INFO - Epoch(train) [299][5/63] lr: 5.4127e-03 eta: 6:42:55 time: 0.5248 data_time: 0.1530 memory: 6760 loss_prob: 2.8610 loss_thr: 0.5694 loss_db: 0.1973 loss: 3.6277 2022/08/26 01:13:12 - mmengine - INFO - Epoch(train) [299][10/63] lr: 5.4127e-03 eta: 6:42:49 time: 0.5400 data_time: 0.1698 memory: 6760 loss_prob: 2.8601 loss_thr: 0.5639 loss_db: 0.2004 loss: 3.6243 2022/08/26 01:13:14 - mmengine - INFO - Epoch(train) [299][15/63] lr: 5.4127e-03 eta: 6:42:49 time: 0.3742 data_time: 0.0281 memory: 6760 loss_prob: 2.8594 loss_thr: 0.5673 loss_db: 0.2065 loss: 3.6332 2022/08/26 01:13:16 - mmengine - INFO - Epoch(train) [299][20/63] lr: 5.4127e-03 eta: 6:42:43 time: 0.3735 data_time: 0.0147 memory: 6760 loss_prob: 2.8595 loss_thr: 0.5956 loss_db: 0.2107 loss: 3.6658 2022/08/26 01:13:18 - mmengine - INFO - Epoch(train) [299][25/63] lr: 5.4127e-03 eta: 6:42:43 time: 0.3915 data_time: 0.0202 memory: 6760 loss_prob: 2.8593 loss_thr: 0.6201 loss_db: 0.2189 loss: 3.6982 2022/08/26 01:13:21 - mmengine - INFO - Epoch(train) [299][30/63] lr: 5.4127e-03 eta: 6:42:41 time: 0.5194 data_time: 0.0215 memory: 6760 loss_prob: 2.8582 loss_thr: 0.6010 loss_db: 0.2063 loss: 3.6656 2022/08/26 01:13:23 - mmengine - INFO - Epoch(train) [299][35/63] lr: 5.4127e-03 eta: 6:42:41 time: 0.5227 data_time: 0.0308 memory: 6760 loss_prob: 2.8582 loss_thr: 0.5897 loss_db: 0.2031 loss: 3.6510 2022/08/26 01:13:25 - mmengine - INFO - Epoch(train) [299][40/63] lr: 5.4127e-03 eta: 6:42:36 time: 0.3874 data_time: 0.0261 memory: 6760 loss_prob: 2.8597 loss_thr: 0.6011 loss_db: 0.2033 loss: 3.6642 2022/08/26 01:13:27 - mmengine - INFO - Epoch(train) [299][45/63] lr: 5.4127e-03 eta: 6:42:36 time: 0.3875 data_time: 0.0161 memory: 6760 loss_prob: 2.8613 loss_thr: 0.6141 loss_db: 0.2223 loss: 3.6977 2022/08/26 01:13:29 - mmengine - INFO - Epoch(train) [299][50/63] lr: 5.4127e-03 eta: 6:42:32 time: 0.4185 data_time: 0.0315 memory: 6760 loss_prob: 2.8610 loss_thr: 0.6093 loss_db: 0.2239 loss: 3.6942 2022/08/26 01:13:31 - mmengine - INFO - Epoch(train) [299][55/63] lr: 5.4127e-03 eta: 6:42:32 time: 0.4127 data_time: 0.0292 memory: 6760 loss_prob: 2.8603 loss_thr: 0.6046 loss_db: 0.2051 loss: 3.6700 2022/08/26 01:13:33 - mmengine - INFO - Epoch(train) [299][60/63] lr: 5.4127e-03 eta: 6:42:26 time: 0.3822 data_time: 0.0171 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6024 loss_db: 0.2169 loss: 3.6798 2022/08/26 01:13:34 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:13:37 - mmengine - INFO - Epoch(train) [300][5/63] lr: 5.4073e-03 eta: 6:42:26 time: 0.5319 data_time: 0.1599 memory: 6760 loss_prob: 2.8609 loss_thr: 0.5663 loss_db: 0.1967 loss: 3.6239 2022/08/26 01:13:40 - mmengine - INFO - Epoch(train) [300][10/63] lr: 5.4073e-03 eta: 6:42:22 time: 0.5971 data_time: 0.1659 memory: 6760 loss_prob: 2.8647 loss_thr: 0.5842 loss_db: 0.1914 loss: 3.6403 2022/08/26 01:13:42 - mmengine - INFO - Epoch(train) [300][15/63] lr: 5.4073e-03 eta: 6:42:22 time: 0.4337 data_time: 0.0234 memory: 6760 loss_prob: 2.8636 loss_thr: 0.5586 loss_db: 0.1879 loss: 3.6102 2022/08/26 01:13:44 - mmengine - INFO - Epoch(train) [300][20/63] lr: 5.4073e-03 eta: 6:42:17 time: 0.3896 data_time: 0.0203 memory: 6760 loss_prob: 2.8605 loss_thr: 0.5620 loss_db: 0.1996 loss: 3.6220 2022/08/26 01:13:46 - mmengine - INFO - Epoch(train) [300][25/63] lr: 5.4073e-03 eta: 6:42:17 time: 0.3970 data_time: 0.0261 memory: 6760 loss_prob: 2.8612 loss_thr: 0.5735 loss_db: 0.2093 loss: 3.6440 2022/08/26 01:13:48 - mmengine - INFO - Epoch(train) [300][30/63] lr: 5.4073e-03 eta: 6:42:11 time: 0.3867 data_time: 0.0226 memory: 6760 loss_prob: 2.8615 loss_thr: 0.5656 loss_db: 0.2084 loss: 3.6354 2022/08/26 01:13:50 - mmengine - INFO - Epoch(train) [300][35/63] lr: 5.4073e-03 eta: 6:42:11 time: 0.4263 data_time: 0.0272 memory: 6760 loss_prob: 2.8617 loss_thr: 0.5614 loss_db: 0.2088 loss: 3.6319 2022/08/26 01:13:52 - mmengine - INFO - Epoch(train) [300][40/63] lr: 5.4073e-03 eta: 6:42:07 time: 0.4326 data_time: 0.0286 memory: 6760 loss_prob: 2.8615 loss_thr: 0.5771 loss_db: 0.2096 loss: 3.6483 2022/08/26 01:13:54 - mmengine - INFO - Epoch(train) [300][45/63] lr: 5.4073e-03 eta: 6:42:07 time: 0.3827 data_time: 0.0207 memory: 6760 loss_prob: 2.8606 loss_thr: 0.6115 loss_db: 0.2195 loss: 3.6915 2022/08/26 01:13:56 - mmengine - INFO - Epoch(train) [300][50/63] lr: 5.4073e-03 eta: 6:42:02 time: 0.3855 data_time: 0.0233 memory: 6760 loss_prob: 2.8607 loss_thr: 0.6005 loss_db: 0.2154 loss: 3.6766 2022/08/26 01:13:58 - mmengine - INFO - Epoch(train) [300][55/63] lr: 5.4073e-03 eta: 6:42:02 time: 0.3812 data_time: 0.0226 memory: 6760 loss_prob: 2.8611 loss_thr: 0.5730 loss_db: 0.2025 loss: 3.6366 2022/08/26 01:14:01 - mmengine - INFO - Epoch(train) [300][60/63] lr: 5.4073e-03 eta: 6:42:01 time: 0.5447 data_time: 0.0250 memory: 6760 loss_prob: 2.8606 loss_thr: 0.5677 loss_db: 0.2011 loss: 3.6293 2022/08/26 01:14:03 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:14:03 - mmengine - INFO - Saving checkpoint at 300 epochs 2022/08/26 01:14:08 - mmengine - INFO - Epoch(val) [300][5/500] eta: 6:42:01 time: 0.2432 data_time: 0.0240 memory: 6760 2022/08/26 01:14:08 - mmengine - INFO - Epoch(val) [300][10/500] eta: 0:01:29 time: 0.1833 data_time: 0.0229 memory: 425 2022/08/26 01:14:09 - mmengine - INFO - Epoch(val) [300][15/500] eta: 0:01:29 time: 0.1388 data_time: 0.0016 memory: 425 2022/08/26 01:14:10 - mmengine - INFO - Epoch(val) [300][20/500] eta: 0:01:13 time: 0.1536 data_time: 0.0017 memory: 425 2022/08/26 01:14:11 - mmengine - INFO - Epoch(val) [300][25/500] eta: 0:01:13 time: 0.1705 data_time: 0.0019 memory: 425 2022/08/26 01:14:11 - mmengine - INFO - Epoch(val) [300][30/500] eta: 0:01:14 time: 0.1579 data_time: 0.0019 memory: 425 2022/08/26 01:14:12 - mmengine - INFO - Epoch(val) [300][35/500] eta: 0:01:14 time: 0.1423 data_time: 0.0017 memory: 425 2022/08/26 01:14:13 - mmengine - INFO - Epoch(val) [300][40/500] eta: 0:01:15 time: 0.1640 data_time: 0.0018 memory: 425 2022/08/26 01:14:14 - mmengine - INFO - Epoch(val) [300][45/500] eta: 0:01:15 time: 0.1782 data_time: 0.0018 memory: 425 2022/08/26 01:14:15 - mmengine - INFO - Epoch(val) [300][50/500] eta: 0:01:06 time: 0.1472 data_time: 0.0020 memory: 425 2022/08/26 01:14:15 - mmengine - INFO - Epoch(val) [300][55/500] eta: 0:01:06 time: 0.1549 data_time: 0.0020 memory: 425 2022/08/26 01:14:16 - mmengine - INFO - Epoch(val) [300][60/500] eta: 0:01:05 time: 0.1499 data_time: 0.0018 memory: 425 2022/08/26 01:14:17 - mmengine - INFO - Epoch(val) [300][65/500] eta: 0:01:05 time: 0.1470 data_time: 0.0017 memory: 425 2022/08/26 01:14:18 - mmengine - INFO - Epoch(val) [300][70/500] eta: 0:01:06 time: 0.1556 data_time: 0.0018 memory: 425 2022/08/26 01:14:18 - mmengine - INFO - Epoch(val) [300][75/500] eta: 0:01:06 time: 0.1331 data_time: 0.0019 memory: 425 2022/08/26 01:14:21 - mmengine - INFO - Epoch(val) [300][80/500] eta: 0:02:35 time: 0.3708 data_time: 0.0366 memory: 425 2022/08/26 01:14:22 - mmengine - INFO - Epoch(val) [300][85/500] eta: 0:02:35 time: 0.3898 data_time: 0.0457 memory: 425 2022/08/26 01:14:23 - mmengine - INFO - Epoch(val) [300][90/500] eta: 0:01:03 time: 0.1545 data_time: 0.0112 memory: 425 2022/08/26 01:14:24 - mmengine - INFO - Epoch(val) [300][95/500] eta: 0:01:03 time: 0.1472 data_time: 0.0021 memory: 425 2022/08/26 01:14:24 - mmengine - INFO - Epoch(val) [300][100/500] eta: 0:00:50 time: 0.1258 data_time: 0.0017 memory: 425 2022/08/26 01:14:25 - mmengine - INFO - Epoch(val) [300][105/500] eta: 0:00:50 time: 0.1241 data_time: 0.0018 memory: 425 2022/08/26 01:14:25 - mmengine - INFO - Epoch(val) [300][110/500] eta: 0:00:49 time: 0.1276 data_time: 0.0018 memory: 425 2022/08/26 01:14:26 - mmengine - INFO - Epoch(val) [300][115/500] eta: 0:00:49 time: 0.1425 data_time: 0.0020 memory: 425 2022/08/26 01:14:27 - mmengine - INFO - Epoch(val) [300][120/500] eta: 0:00:56 time: 0.1499 data_time: 0.0021 memory: 425 2022/08/26 01:14:28 - mmengine - INFO - Epoch(val) [300][125/500] eta: 0:00:56 time: 0.1757 data_time: 0.0019 memory: 425 2022/08/26 01:14:29 - mmengine - INFO - Epoch(val) [300][130/500] eta: 0:00:59 time: 0.1620 data_time: 0.0018 memory: 425 2022/08/26 01:14:29 - mmengine - INFO - Epoch(val) [300][135/500] eta: 0:00:59 time: 0.1112 data_time: 0.0017 memory: 425 2022/08/26 01:14:30 - mmengine - INFO - Epoch(val) [300][140/500] eta: 0:00:44 time: 0.1238 data_time: 0.0018 memory: 425 2022/08/26 01:14:31 - mmengine - INFO - Epoch(val) [300][145/500] eta: 0:00:44 time: 0.1489 data_time: 0.0018 memory: 425 2022/08/26 01:14:32 - mmengine - INFO - Epoch(val) [300][150/500] eta: 0:00:59 time: 0.1686 data_time: 0.0020 memory: 425 2022/08/26 01:14:32 - mmengine - INFO - Epoch(val) [300][155/500] eta: 0:00:59 time: 0.1634 data_time: 0.0019 memory: 425 2022/08/26 01:14:33 - mmengine - INFO - Epoch(val) [300][160/500] eta: 0:00:58 time: 0.1716 data_time: 0.0018 memory: 425 2022/08/26 01:14:34 - mmengine - INFO - Epoch(val) [300][165/500] eta: 0:00:58 time: 0.1531 data_time: 0.0019 memory: 425 2022/08/26 01:14:35 - mmengine - INFO - Epoch(val) [300][170/500] eta: 0:00:50 time: 0.1534 data_time: 0.0018 memory: 425 2022/08/26 01:14:35 - mmengine - INFO - Epoch(val) [300][175/500] eta: 0:00:50 time: 0.1587 data_time: 0.0018 memory: 425 2022/08/26 01:14:36 - mmengine - INFO - Epoch(val) [300][180/500] eta: 0:00:43 time: 0.1354 data_time: 0.0019 memory: 425 2022/08/26 01:14:37 - mmengine - INFO - Epoch(val) [300][185/500] eta: 0:00:43 time: 0.1464 data_time: 0.0020 memory: 425 2022/08/26 01:14:38 - mmengine - INFO - Epoch(val) [300][190/500] eta: 0:00:50 time: 0.1629 data_time: 0.0020 memory: 425 2022/08/26 01:14:39 - mmengine - INFO - Epoch(val) [300][195/500] eta: 0:00:50 time: 0.2384 data_time: 0.0019 memory: 425 2022/08/26 01:14:41 - mmengine - INFO - Epoch(val) [300][200/500] eta: 0:01:51 time: 0.3709 data_time: 0.0452 memory: 425 2022/08/26 01:14:42 - mmengine - INFO - Epoch(val) [300][205/500] eta: 0:01:51 time: 0.2980 data_time: 0.0451 memory: 425 2022/08/26 01:14:43 - mmengine - INFO - Epoch(val) [300][210/500] eta: 0:00:40 time: 0.1394 data_time: 0.0022 memory: 425 2022/08/26 01:14:43 - mmengine - INFO - Epoch(val) [300][215/500] eta: 0:00:40 time: 0.1227 data_time: 0.0021 memory: 425 2022/08/26 01:14:44 - mmengine - INFO - Epoch(val) [300][220/500] eta: 0:00:36 time: 0.1293 data_time: 0.0018 memory: 425 2022/08/26 01:14:45 - mmengine - INFO - Epoch(val) [300][225/500] eta: 0:00:36 time: 0.1506 data_time: 0.0019 memory: 425 2022/08/26 01:14:46 - mmengine - INFO - Epoch(val) [300][230/500] eta: 0:00:44 time: 0.1659 data_time: 0.0020 memory: 425 2022/08/26 01:14:47 - mmengine - INFO - Epoch(val) [300][235/500] eta: 0:00:44 time: 0.1628 data_time: 0.0019 memory: 425 2022/08/26 01:14:48 - mmengine - INFO - Epoch(val) [300][240/500] eta: 0:00:44 time: 0.1706 data_time: 0.0018 memory: 425 2022/08/26 01:14:48 - mmengine - INFO - Epoch(val) [300][245/500] eta: 0:00:44 time: 0.1779 data_time: 0.0018 memory: 425 2022/08/26 01:14:49 - mmengine - INFO - Epoch(val) [300][250/500] eta: 0:00:45 time: 0.1812 data_time: 0.0018 memory: 425 2022/08/26 01:14:50 - mmengine - INFO - Epoch(val) [300][255/500] eta: 0:00:45 time: 0.1592 data_time: 0.0018 memory: 425 2022/08/26 01:14:51 - mmengine - INFO - Epoch(val) [300][260/500] eta: 0:00:29 time: 0.1229 data_time: 0.0017 memory: 425 2022/08/26 01:14:51 - mmengine - INFO - Epoch(val) [300][265/500] eta: 0:00:29 time: 0.1231 data_time: 0.0018 memory: 425 2022/08/26 01:14:52 - mmengine - INFO - Epoch(val) [300][270/500] eta: 0:00:38 time: 0.1675 data_time: 0.0018 memory: 425 2022/08/26 01:14:53 - mmengine - INFO - Epoch(val) [300][275/500] eta: 0:00:38 time: 0.1576 data_time: 0.0018 memory: 425 2022/08/26 01:14:54 - mmengine - INFO - Epoch(val) [300][280/500] eta: 0:00:29 time: 0.1333 data_time: 0.0018 memory: 425 2022/08/26 01:14:54 - mmengine - INFO - Epoch(val) [300][285/500] eta: 0:00:29 time: 0.1627 data_time: 0.0018 memory: 425 2022/08/26 01:14:55 - mmengine - INFO - Epoch(val) [300][290/500] eta: 0:00:31 time: 0.1518 data_time: 0.0018 memory: 425 2022/08/26 01:14:56 - mmengine - INFO - Epoch(val) [300][295/500] eta: 0:00:31 time: 0.1456 data_time: 0.0018 memory: 425 2022/08/26 01:14:57 - mmengine - INFO - Epoch(val) [300][300/500] eta: 0:00:30 time: 0.1515 data_time: 0.0019 memory: 425 2022/08/26 01:14:57 - mmengine - INFO - Epoch(val) [300][305/500] eta: 0:00:30 time: 0.1372 data_time: 0.0020 memory: 425 2022/08/26 01:14:58 - mmengine - INFO - Epoch(val) [300][310/500] eta: 0:00:27 time: 0.1472 data_time: 0.0019 memory: 425 2022/08/26 01:15:01 - mmengine - INFO - Epoch(val) [300][315/500] eta: 0:00:27 time: 0.3494 data_time: 0.0183 memory: 425 2022/08/26 01:15:02 - mmengine - INFO - Epoch(val) [300][320/500] eta: 0:01:02 time: 0.3449 data_time: 0.0226 memory: 425 2022/08/26 01:15:03 - mmengine - INFO - Epoch(val) [300][325/500] eta: 0:01:02 time: 0.2408 data_time: 0.0062 memory: 425 2022/08/26 01:15:04 - mmengine - INFO - Epoch(val) [300][330/500] eta: 0:00:38 time: 0.2236 data_time: 0.0019 memory: 425 2022/08/26 01:15:04 - mmengine - INFO - Epoch(val) [300][335/500] eta: 0:00:38 time: 0.1298 data_time: 0.0018 memory: 425 2022/08/26 01:15:05 - mmengine - INFO - Epoch(val) [300][340/500] eta: 0:00:26 time: 0.1668 data_time: 0.0019 memory: 425 2022/08/26 01:15:06 - mmengine - INFO - Epoch(val) [300][345/500] eta: 0:00:26 time: 0.1628 data_time: 0.0020 memory: 425 2022/08/26 01:15:07 - mmengine - INFO - Epoch(val) [300][350/500] eta: 0:00:26 time: 0.1761 data_time: 0.0019 memory: 425 2022/08/26 01:15:08 - mmengine - INFO - Epoch(val) [300][355/500] eta: 0:00:26 time: 0.1998 data_time: 0.0021 memory: 425 2022/08/26 01:15:09 - mmengine - INFO - Epoch(val) [300][360/500] eta: 0:00:20 time: 0.1480 data_time: 0.0020 memory: 425 2022/08/26 01:15:09 - mmengine - INFO - Epoch(val) [300][365/500] eta: 0:00:20 time: 0.1246 data_time: 0.0019 memory: 425 2022/08/26 01:15:10 - mmengine - INFO - Epoch(val) [300][370/500] eta: 0:00:16 time: 0.1261 data_time: 0.0019 memory: 425 2022/08/26 01:15:11 - mmengine - INFO - Epoch(val) [300][375/500] eta: 0:00:16 time: 0.1262 data_time: 0.0018 memory: 425 2022/08/26 01:15:11 - mmengine - INFO - Epoch(val) [300][380/500] eta: 0:00:14 time: 0.1225 data_time: 0.0018 memory: 425 2022/08/26 01:15:12 - mmengine - INFO - Epoch(val) [300][385/500] eta: 0:00:14 time: 0.1294 data_time: 0.0018 memory: 425 2022/08/26 01:15:12 - mmengine - INFO - Epoch(val) [300][390/500] eta: 0:00:13 time: 0.1239 data_time: 0.0018 memory: 425 2022/08/26 01:15:13 - mmengine - INFO - Epoch(val) [300][395/500] eta: 0:00:13 time: 0.1159 data_time: 0.0017 memory: 425 2022/08/26 01:15:14 - mmengine - INFO - Epoch(val) [300][400/500] eta: 0:00:14 time: 0.1400 data_time: 0.0020 memory: 425 2022/08/26 01:15:15 - mmengine - INFO - Epoch(val) [300][405/500] eta: 0:00:14 time: 0.1593 data_time: 0.0027 memory: 425 2022/08/26 01:15:15 - mmengine - INFO - Epoch(val) [300][410/500] eta: 0:00:13 time: 0.1543 data_time: 0.0024 memory: 425 2022/08/26 01:15:16 - mmengine - INFO - Epoch(val) [300][415/500] eta: 0:00:13 time: 0.1345 data_time: 0.0018 memory: 425 2022/08/26 01:15:17 - mmengine - INFO - Epoch(val) [300][420/500] eta: 0:00:10 time: 0.1337 data_time: 0.0018 memory: 425 2022/08/26 01:15:18 - mmengine - INFO - Epoch(val) [300][425/500] eta: 0:00:10 time: 0.1769 data_time: 0.0041 memory: 425 2022/08/26 01:15:18 - mmengine - INFO - Epoch(val) [300][430/500] eta: 0:00:12 time: 0.1767 data_time: 0.0043 memory: 425 2022/08/26 01:15:20 - mmengine - INFO - Epoch(val) [300][435/500] eta: 0:00:12 time: 0.2753 data_time: 0.0165 memory: 425 2022/08/26 01:15:22 - mmengine - INFO - Epoch(val) [300][440/500] eta: 0:00:18 time: 0.3046 data_time: 0.0175 memory: 425 2022/08/26 01:15:23 - mmengine - INFO - Epoch(val) [300][445/500] eta: 0:00:18 time: 0.2060 data_time: 0.0030 memory: 425 2022/08/26 01:15:23 - mmengine - INFO - Epoch(val) [300][450/500] eta: 0:00:08 time: 0.1764 data_time: 0.0019 memory: 425 2022/08/26 01:15:24 - mmengine - INFO - Epoch(val) [300][455/500] eta: 0:00:08 time: 0.1488 data_time: 0.0018 memory: 425 2022/08/26 01:15:25 - mmengine - INFO - Epoch(val) [300][460/500] eta: 0:00:05 time: 0.1460 data_time: 0.0018 memory: 425 2022/08/26 01:15:25 - mmengine - INFO - Epoch(val) [300][465/500] eta: 0:00:05 time: 0.1278 data_time: 0.0018 memory: 425 2022/08/26 01:15:26 - mmengine - INFO - Epoch(val) [300][470/500] eta: 0:00:04 time: 0.1496 data_time: 0.0018 memory: 425 2022/08/26 01:15:27 - mmengine - INFO - Epoch(val) [300][475/500] eta: 0:00:04 time: 0.1797 data_time: 0.0018 memory: 425 2022/08/26 01:15:28 - mmengine - INFO - Epoch(val) [300][480/500] eta: 0:00:03 time: 0.1621 data_time: 0.0018 memory: 425 2022/08/26 01:15:29 - mmengine - INFO - Epoch(val) [300][485/500] eta: 0:00:03 time: 0.1760 data_time: 0.0019 memory: 425 2022/08/26 01:15:30 - mmengine - INFO - Epoch(val) [300][490/500] eta: 0:00:01 time: 0.1831 data_time: 0.0052 memory: 425 2022/08/26 01:15:31 - mmengine - INFO - Epoch(val) [300][495/500] eta: 0:00:01 time: 0.1669 data_time: 0.0052 memory: 425 2022/08/26 01:15:31 - mmengine - INFO - Epoch(val) [300][500/500] eta: 0:00:00 time: 0.1473 data_time: 0.0017 memory: 425 2022/08/26 01:15:31 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 01:15:31 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.0140, precision: 0.0008, hmean: 0.0014 2022/08/26 01:15:31 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:15:31 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:15:31 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:15:31 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:15:31 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:15:31 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 2022/08/26 01:15:31 - mmengine - INFO - Epoch(val) [300][500/500] icdar/precision: 0.0008 icdar/recall: 0.0140 icdar/hmean: 0.0014 2022/08/26 01:15:36 - mmengine - INFO - Epoch(train) [301][5/63] lr: 5.4019e-03 eta: 0:00:00 time: 0.7011 data_time: 0.2107 memory: 6760 loss_prob: 2.8585 loss_thr: 0.5544 loss_db: 0.2063 loss: 3.6193 2022/08/26 01:15:38 - mmengine - INFO - Epoch(train) [301][10/63] lr: 5.4019e-03 eta: 6:41:58 time: 0.6503 data_time: 0.1811 memory: 6760 loss_prob: 2.8581 loss_thr: 0.5705 loss_db: 0.2045 loss: 3.6331 2022/08/26 01:15:40 - mmengine - INFO - Epoch(train) [301][15/63] lr: 5.4019e-03 eta: 6:41:58 time: 0.3834 data_time: 0.0208 memory: 6760 loss_prob: 2.8585 loss_thr: 0.6114 loss_db: 0.2098 loss: 3.6796 2022/08/26 01:15:42 - mmengine - INFO - Epoch(train) [301][20/63] lr: 5.4019e-03 eta: 6:41:53 time: 0.3781 data_time: 0.0192 memory: 6760 loss_prob: 2.8490 loss_thr: 0.5862 loss_db: 0.2117 loss: 3.6469 2022/08/26 01:15:44 - mmengine - INFO - Epoch(train) [301][25/63] lr: 5.4019e-03 eta: 6:41:53 time: 0.3882 data_time: 0.0253 memory: 6760 loss_prob: 2.8228 loss_thr: 0.5726 loss_db: 0.1996 loss: 3.5950 2022/08/26 01:15:45 - mmengine - INFO - Epoch(train) [301][30/63] lr: 5.4019e-03 eta: 6:41:47 time: 0.3740 data_time: 0.0195 memory: 6760 loss_prob: 2.7589 loss_thr: 0.5708 loss_db: 0.2047 loss: 3.5344 2022/08/26 01:15:47 - mmengine - INFO - Epoch(train) [301][35/63] lr: 5.4019e-03 eta: 6:41:47 time: 0.3813 data_time: 0.0207 memory: 6760 loss_prob: 2.6778 loss_thr: 0.5755 loss_db: 0.2100 loss: 3.4634 2022/08/26 01:15:52 - mmengine - INFO - Epoch(train) [301][40/63] lr: 5.4019e-03 eta: 6:41:48 time: 0.6174 data_time: 0.0298 memory: 6760 loss_prob: 2.6091 loss_thr: 0.6177 loss_db: 0.2164 loss: 3.4432 2022/08/26 01:15:53 - mmengine - INFO - Epoch(train) [301][45/63] lr: 5.4019e-03 eta: 6:41:48 time: 0.6035 data_time: 0.0276 memory: 6760 loss_prob: 2.5182 loss_thr: 0.5990 loss_db: 0.2106 loss: 3.3277 2022/08/26 01:15:55 - mmengine - INFO - Epoch(train) [301][50/63] lr: 5.4019e-03 eta: 6:41:43 time: 0.3828 data_time: 0.0254 memory: 6760 loss_prob: 2.4509 loss_thr: 0.5907 loss_db: 0.2165 loss: 3.2581 2022/08/26 01:15:57 - mmengine - INFO - Epoch(train) [301][55/63] lr: 5.4019e-03 eta: 6:41:43 time: 0.3966 data_time: 0.0228 memory: 6760 loss_prob: 2.3801 loss_thr: 0.5778 loss_db: 0.2137 loss: 3.1716 2022/08/26 01:15:59 - mmengine - INFO - Epoch(train) [301][60/63] lr: 5.4019e-03 eta: 6:41:38 time: 0.4133 data_time: 0.0198 memory: 6760 loss_prob: 2.2694 loss_thr: 0.5405 loss_db: 0.2023 loss: 3.0121 2022/08/26 01:16:01 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:16:04 - mmengine - INFO - Epoch(train) [302][5/63] lr: 5.3965e-03 eta: 6:41:38 time: 0.5305 data_time: 0.1580 memory: 6760 loss_prob: 2.2196 loss_thr: 0.5849 loss_db: 0.2238 loss: 3.0284 2022/08/26 01:16:06 - mmengine - INFO - Epoch(train) [302][10/63] lr: 5.3965e-03 eta: 6:41:32 time: 0.5269 data_time: 0.1616 memory: 6760 loss_prob: 2.1442 loss_thr: 0.5581 loss_db: 0.2111 loss: 2.9134 2022/08/26 01:16:08 - mmengine - INFO - Epoch(train) [302][15/63] lr: 5.3965e-03 eta: 6:41:32 time: 0.3837 data_time: 0.0216 memory: 6760 loss_prob: 2.0427 loss_thr: 0.5210 loss_db: 0.1864 loss: 2.7500 2022/08/26 01:16:10 - mmengine - INFO - Epoch(train) [302][20/63] lr: 5.3965e-03 eta: 6:41:28 time: 0.4309 data_time: 0.0215 memory: 6760 loss_prob: 1.9740 loss_thr: 0.5114 loss_db: 0.1833 loss: 2.6687 2022/08/26 01:16:12 - mmengine - INFO - Epoch(train) [302][25/63] lr: 5.3965e-03 eta: 6:41:28 time: 0.4701 data_time: 0.0225 memory: 6760 loss_prob: 1.9792 loss_thr: 0.5557 loss_db: 0.2058 loss: 2.7406 2022/08/26 01:16:14 - mmengine - INFO - Epoch(train) [302][30/63] lr: 5.3965e-03 eta: 6:41:24 time: 0.4262 data_time: 0.0180 memory: 6760 loss_prob: 1.9623 loss_thr: 0.5633 loss_db: 0.2158 loss: 2.7415 2022/08/26 01:16:16 - mmengine - INFO - Epoch(train) [302][35/63] lr: 5.3965e-03 eta: 6:41:24 time: 0.3938 data_time: 0.0250 memory: 6760 loss_prob: 1.9047 loss_thr: 0.5514 loss_db: 0.1986 loss: 2.6548 2022/08/26 01:16:17 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:16:18 - mmengine - INFO - Epoch(train) [302][40/63] lr: 5.3965e-03 eta: 6:41:18 time: 0.3802 data_time: 0.0219 memory: 6760 loss_prob: 1.9399 loss_thr: 0.5860 loss_db: 0.2217 loss: 2.7476 2022/08/26 01:16:20 - mmengine - INFO - Epoch(train) [302][45/63] lr: 5.3965e-03 eta: 6:41:18 time: 0.3957 data_time: 0.0263 memory: 6760 loss_prob: 1.9129 loss_thr: 0.5875 loss_db: 0.2311 loss: 2.7315 2022/08/26 01:16:22 - mmengine - INFO - Epoch(train) [302][50/63] lr: 5.3965e-03 eta: 6:41:13 time: 0.3923 data_time: 0.0239 memory: 6760 loss_prob: 1.8224 loss_thr: 0.5827 loss_db: 0.2143 loss: 2.6195 2022/08/26 01:16:24 - mmengine - INFO - Epoch(train) [302][55/63] lr: 5.3965e-03 eta: 6:41:13 time: 0.3730 data_time: 0.0141 memory: 6760 loss_prob: 1.8124 loss_thr: 0.5864 loss_db: 0.2215 loss: 2.6202 2022/08/26 01:16:26 - mmengine - INFO - Epoch(train) [302][60/63] lr: 5.3965e-03 eta: 6:41:07 time: 0.3800 data_time: 0.0172 memory: 6760 loss_prob: 1.9146 loss_thr: 0.6039 loss_db: 0.2587 loss: 2.7772 2022/08/26 01:16:27 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:16:31 - mmengine - INFO - Epoch(train) [303][5/63] lr: 5.3911e-03 eta: 6:41:07 time: 0.5840 data_time: 0.1898 memory: 6760 loss_prob: 1.8888 loss_thr: 0.6150 loss_db: 0.2569 loss: 2.7607 2022/08/26 01:16:33 - mmengine - INFO - Epoch(train) [303][10/63] lr: 5.3911e-03 eta: 6:41:03 time: 0.5957 data_time: 0.1937 memory: 6760 loss_prob: 1.9134 loss_thr: 0.6095 loss_db: 0.2630 loss: 2.7858 2022/08/26 01:16:35 - mmengine - INFO - Epoch(train) [303][15/63] lr: 5.3911e-03 eta: 6:41:03 time: 0.3730 data_time: 0.0228 memory: 6760 loss_prob: 1.9493 loss_thr: 0.6196 loss_db: 0.2810 loss: 2.8499 2022/08/26 01:16:37 - mmengine - INFO - Epoch(train) [303][20/63] lr: 5.3911e-03 eta: 6:40:57 time: 0.3782 data_time: 0.0178 memory: 6760 loss_prob: 2.0079 loss_thr: 0.6574 loss_db: 0.3085 loss: 2.9739 2022/08/26 01:16:39 - mmengine - INFO - Epoch(train) [303][25/63] lr: 5.3911e-03 eta: 6:40:57 time: 0.3933 data_time: 0.0237 memory: 6760 loss_prob: 1.9526 loss_thr: 0.6511 loss_db: 0.2971 loss: 2.9008 2022/08/26 01:16:41 - mmengine - INFO - Epoch(train) [303][30/63] lr: 5.3911e-03 eta: 6:40:54 time: 0.4603 data_time: 0.0338 memory: 6760 loss_prob: 1.8923 loss_thr: 0.6484 loss_db: 0.2823 loss: 2.8230 2022/08/26 01:16:43 - mmengine - INFO - Epoch(train) [303][35/63] lr: 5.3911e-03 eta: 6:40:54 time: 0.4506 data_time: 0.0350 memory: 6760 loss_prob: 1.9388 loss_thr: 0.6465 loss_db: 0.2994 loss: 2.8847 2022/08/26 01:16:45 - mmengine - INFO - Epoch(train) [303][40/63] lr: 5.3911e-03 eta: 6:40:48 time: 0.3705 data_time: 0.0193 memory: 6760 loss_prob: 1.8336 loss_thr: 0.6421 loss_db: 0.2683 loss: 2.7440 2022/08/26 01:16:47 - mmengine - INFO - Epoch(train) [303][45/63] lr: 5.3911e-03 eta: 6:40:48 time: 0.3858 data_time: 0.0161 memory: 6760 loss_prob: 1.7057 loss_thr: 0.6293 loss_db: 0.2455 loss: 2.5805 2022/08/26 01:16:50 - mmengine - INFO - Epoch(train) [303][50/63] lr: 5.3911e-03 eta: 6:40:45 time: 0.4581 data_time: 0.0476 memory: 6760 loss_prob: 1.7367 loss_thr: 0.6176 loss_db: 0.2617 loss: 2.6160 2022/08/26 01:16:51 - mmengine - INFO - Epoch(train) [303][55/63] lr: 5.3911e-03 eta: 6:40:45 time: 0.4360 data_time: 0.0435 memory: 6760 loss_prob: 1.8085 loss_thr: 0.6523 loss_db: 0.2705 loss: 2.7312 2022/08/26 01:16:53 - mmengine - INFO - Epoch(train) [303][60/63] lr: 5.3911e-03 eta: 6:40:39 time: 0.3632 data_time: 0.0162 memory: 6760 loss_prob: 1.8818 loss_thr: 0.6535 loss_db: 0.2766 loss: 2.8119 2022/08/26 01:16:54 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:16:58 - mmengine - INFO - Epoch(train) [304][5/63] lr: 5.3857e-03 eta: 6:40:39 time: 0.4969 data_time: 0.1626 memory: 6760 loss_prob: 1.9824 loss_thr: 0.6862 loss_db: 0.3099 loss: 2.9786 2022/08/26 01:17:00 - mmengine - INFO - Epoch(train) [304][10/63] lr: 5.3857e-03 eta: 6:40:33 time: 0.5566 data_time: 0.1836 memory: 6760 loss_prob: 1.8665 loss_thr: 0.6569 loss_db: 0.2860 loss: 2.8094 2022/08/26 01:17:02 - mmengine - INFO - Epoch(train) [304][15/63] lr: 5.3857e-03 eta: 6:40:33 time: 0.3964 data_time: 0.0322 memory: 6760 loss_prob: 1.9380 loss_thr: 0.6453 loss_db: 0.2938 loss: 2.8771 2022/08/26 01:17:03 - mmengine - INFO - Epoch(train) [304][20/63] lr: 5.3857e-03 eta: 6:40:27 time: 0.3604 data_time: 0.0162 memory: 6760 loss_prob: 1.7710 loss_thr: 0.6414 loss_db: 0.2693 loss: 2.6817 2022/08/26 01:17:05 - mmengine - INFO - Epoch(train) [304][25/63] lr: 5.3857e-03 eta: 6:40:27 time: 0.3845 data_time: 0.0190 memory: 6760 loss_prob: 1.6419 loss_thr: 0.6541 loss_db: 0.2574 loss: 2.5534 2022/08/26 01:17:07 - mmengine - INFO - Epoch(train) [304][30/63] lr: 5.3857e-03 eta: 6:40:22 time: 0.3901 data_time: 0.0179 memory: 6760 loss_prob: 1.6266 loss_thr: 0.6717 loss_db: 0.2583 loss: 2.5566 2022/08/26 01:17:09 - mmengine - INFO - Epoch(train) [304][35/63] lr: 5.3857e-03 eta: 6:40:22 time: 0.4089 data_time: 0.0196 memory: 6760 loss_prob: 1.6080 loss_thr: 0.6671 loss_db: 0.2512 loss: 2.5263 2022/08/26 01:17:11 - mmengine - INFO - Epoch(train) [304][40/63] lr: 5.3857e-03 eta: 6:40:17 time: 0.4074 data_time: 0.0269 memory: 6760 loss_prob: 1.6346 loss_thr: 0.6502 loss_db: 0.2579 loss: 2.5427 2022/08/26 01:17:13 - mmengine - INFO - Epoch(train) [304][45/63] lr: 5.3857e-03 eta: 6:40:17 time: 0.3782 data_time: 0.0248 memory: 6760 loss_prob: 1.7435 loss_thr: 0.6608 loss_db: 0.2768 loss: 2.6811 2022/08/26 01:17:15 - mmengine - INFO - Epoch(train) [304][50/63] lr: 5.3857e-03 eta: 6:40:11 time: 0.3752 data_time: 0.0232 memory: 6760 loss_prob: 1.8597 loss_thr: 0.6540 loss_db: 0.2883 loss: 2.8021 2022/08/26 01:17:17 - mmengine - INFO - Epoch(train) [304][55/63] lr: 5.3857e-03 eta: 6:40:11 time: 0.3757 data_time: 0.0193 memory: 6760 loss_prob: 1.8414 loss_thr: 0.6544 loss_db: 0.2869 loss: 2.7827 2022/08/26 01:17:19 - mmengine - INFO - Epoch(train) [304][60/63] lr: 5.3857e-03 eta: 6:40:06 time: 0.4024 data_time: 0.0157 memory: 6760 loss_prob: 1.6974 loss_thr: 0.6419 loss_db: 0.2645 loss: 2.6037 2022/08/26 01:17:21 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:17:25 - mmengine - INFO - Epoch(train) [305][5/63] lr: 5.3803e-03 eta: 6:40:06 time: 0.6807 data_time: 0.2046 memory: 6760 loss_prob: 1.7981 loss_thr: 0.6652 loss_db: 0.2817 loss: 2.7450 2022/08/26 01:17:27 - mmengine - INFO - Epoch(train) [305][10/63] lr: 5.3803e-03 eta: 6:40:01 time: 0.5460 data_time: 0.1824 memory: 6760 loss_prob: 1.7976 loss_thr: 0.6456 loss_db: 0.2847 loss: 2.7279 2022/08/26 01:17:29 - mmengine - INFO - Epoch(train) [305][15/63] lr: 5.3803e-03 eta: 6:40:01 time: 0.3906 data_time: 0.0233 memory: 6760 loss_prob: 1.9024 loss_thr: 0.6720 loss_db: 0.2985 loss: 2.8729 2022/08/26 01:17:31 - mmengine - INFO - Epoch(train) [305][20/63] lr: 5.3803e-03 eta: 6:39:56 time: 0.4137 data_time: 0.0368 memory: 6760 loss_prob: 2.1457 loss_thr: 0.7055 loss_db: 0.3289 loss: 3.1801 2022/08/26 01:17:33 - mmengine - INFO - Epoch(train) [305][25/63] lr: 5.3803e-03 eta: 6:39:56 time: 0.3996 data_time: 0.0356 memory: 6760 loss_prob: 2.0309 loss_thr: 0.6815 loss_db: 0.3310 loss: 3.0434 2022/08/26 01:17:35 - mmengine - INFO - Epoch(train) [305][30/63] lr: 5.3803e-03 eta: 6:39:50 time: 0.3719 data_time: 0.0172 memory: 6760 loss_prob: 1.9494 loss_thr: 0.6971 loss_db: 0.3289 loss: 2.9754 2022/08/26 01:17:37 - mmengine - INFO - Epoch(train) [305][35/63] lr: 5.3803e-03 eta: 6:39:50 time: 0.3917 data_time: 0.0230 memory: 6760 loss_prob: 2.0278 loss_thr: 0.7172 loss_db: 0.3267 loss: 3.0717 2022/08/26 01:17:39 - mmengine - INFO - Epoch(train) [305][40/63] lr: 5.3803e-03 eta: 6:39:45 time: 0.3810 data_time: 0.0242 memory: 6760 loss_prob: 1.9488 loss_thr: 0.6958 loss_db: 0.3082 loss: 2.9528 2022/08/26 01:17:42 - mmengine - INFO - Epoch(train) [305][45/63] lr: 5.3803e-03 eta: 6:39:45 time: 0.5665 data_time: 0.0254 memory: 6760 loss_prob: 1.7549 loss_thr: 0.6709 loss_db: 0.2874 loss: 2.7133 2022/08/26 01:17:44 - mmengine - INFO - Epoch(train) [305][50/63] lr: 5.3803e-03 eta: 6:39:45 time: 0.5838 data_time: 0.0275 memory: 6760 loss_prob: 1.7997 loss_thr: 0.6888 loss_db: 0.3017 loss: 2.7901 2022/08/26 01:17:46 - mmengine - INFO - Epoch(train) [305][55/63] lr: 5.3803e-03 eta: 6:39:45 time: 0.3842 data_time: 0.0227 memory: 6760 loss_prob: 1.8263 loss_thr: 0.6865 loss_db: 0.2947 loss: 2.8075 2022/08/26 01:17:48 - mmengine - INFO - Epoch(train) [305][60/63] lr: 5.3803e-03 eta: 6:39:39 time: 0.3672 data_time: 0.0213 memory: 6760 loss_prob: 1.6767 loss_thr: 0.6453 loss_db: 0.2604 loss: 2.5824 2022/08/26 01:17:50 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:17:53 - mmengine - INFO - Epoch(train) [306][5/63] lr: 5.3749e-03 eta: 6:39:39 time: 0.5489 data_time: 0.1645 memory: 6760 loss_prob: 1.5312 loss_thr: 0.6105 loss_db: 0.2400 loss: 2.3817 2022/08/26 01:17:55 - mmengine - INFO - Epoch(train) [306][10/63] lr: 5.3749e-03 eta: 6:39:33 time: 0.5219 data_time: 0.1616 memory: 6760 loss_prob: 1.6095 loss_thr: 0.6248 loss_db: 0.2550 loss: 2.4893 2022/08/26 01:17:57 - mmengine - INFO - Epoch(train) [306][15/63] lr: 5.3749e-03 eta: 6:39:33 time: 0.3806 data_time: 0.0184 memory: 6760 loss_prob: 1.6710 loss_thr: 0.6628 loss_db: 0.2642 loss: 2.5980 2022/08/26 01:17:59 - mmengine - INFO - Epoch(train) [306][20/63] lr: 5.3749e-03 eta: 6:39:27 time: 0.3917 data_time: 0.0188 memory: 6760 loss_prob: 1.6402 loss_thr: 0.6745 loss_db: 0.2597 loss: 2.5745 2022/08/26 01:18:01 - mmengine - INFO - Epoch(train) [306][25/63] lr: 5.3749e-03 eta: 6:39:27 time: 0.4672 data_time: 0.0311 memory: 6760 loss_prob: 1.7775 loss_thr: 0.6608 loss_db: 0.2893 loss: 2.7276 2022/08/26 01:18:03 - mmengine - INFO - Epoch(train) [306][30/63] lr: 5.3749e-03 eta: 6:39:24 time: 0.4400 data_time: 0.0284 memory: 6760 loss_prob: 1.9221 loss_thr: 0.6715 loss_db: 0.3044 loss: 2.8980 2022/08/26 01:18:05 - mmengine - INFO - Epoch(train) [306][35/63] lr: 5.3749e-03 eta: 6:39:24 time: 0.3688 data_time: 0.0185 memory: 6760 loss_prob: 1.9094 loss_thr: 0.6911 loss_db: 0.3066 loss: 2.9071 2022/08/26 01:18:07 - mmengine - INFO - Epoch(train) [306][40/63] lr: 5.3749e-03 eta: 6:39:18 time: 0.3829 data_time: 0.0200 memory: 6760 loss_prob: 1.7981 loss_thr: 0.6854 loss_db: 0.2919 loss: 2.7755 2022/08/26 01:18:09 - mmengine - INFO - Epoch(train) [306][45/63] lr: 5.3749e-03 eta: 6:39:18 time: 0.3873 data_time: 0.0198 memory: 6760 loss_prob: 1.7754 loss_thr: 0.6619 loss_db: 0.2857 loss: 2.7230 2022/08/26 01:18:12 - mmengine - INFO - Epoch(train) [306][50/63] lr: 5.3749e-03 eta: 6:39:15 time: 0.4638 data_time: 0.0577 memory: 6760 loss_prob: 1.7714 loss_thr: 0.6623 loss_db: 0.2897 loss: 2.7234 2022/08/26 01:18:13 - mmengine - INFO - Epoch(train) [306][55/63] lr: 5.3749e-03 eta: 6:39:15 time: 0.4489 data_time: 0.0561 memory: 6760 loss_prob: 1.7754 loss_thr: 0.6685 loss_db: 0.2916 loss: 2.7356 2022/08/26 01:18:15 - mmengine - INFO - Epoch(train) [306][60/63] lr: 5.3749e-03 eta: 6:39:09 time: 0.3655 data_time: 0.0164 memory: 6760 loss_prob: 1.7786 loss_thr: 0.6610 loss_db: 0.2858 loss: 2.7254 2022/08/26 01:18:16 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:18:20 - mmengine - INFO - Epoch(train) [307][5/63] lr: 5.3694e-03 eta: 6:39:09 time: 0.5395 data_time: 0.1603 memory: 6760 loss_prob: 1.6872 loss_thr: 0.6951 loss_db: 0.2730 loss: 2.6552 2022/08/26 01:18:22 - mmengine - INFO - Epoch(train) [307][10/63] lr: 5.3694e-03 eta: 6:39:04 time: 0.5580 data_time: 0.1752 memory: 6760 loss_prob: 1.7153 loss_thr: 0.6785 loss_db: 0.2786 loss: 2.6723 2022/08/26 01:18:24 - mmengine - INFO - Epoch(train) [307][15/63] lr: 5.3694e-03 eta: 6:39:04 time: 0.3808 data_time: 0.0279 memory: 6760 loss_prob: 1.6814 loss_thr: 0.6409 loss_db: 0.2694 loss: 2.5916 2022/08/26 01:18:26 - mmengine - INFO - Epoch(train) [307][20/63] lr: 5.3694e-03 eta: 6:38:58 time: 0.3677 data_time: 0.0151 memory: 6760 loss_prob: 1.8155 loss_thr: 0.6723 loss_db: 0.2924 loss: 2.7801 2022/08/26 01:18:28 - mmengine - INFO - Epoch(train) [307][25/63] lr: 5.3694e-03 eta: 6:38:58 time: 0.3837 data_time: 0.0215 memory: 6760 loss_prob: 1.6931 loss_thr: 0.6600 loss_db: 0.2705 loss: 2.6237 2022/08/26 01:18:31 - mmengine - INFO - Epoch(train) [307][30/63] lr: 5.3694e-03 eta: 6:38:57 time: 0.5586 data_time: 0.0204 memory: 6760 loss_prob: 1.4507 loss_thr: 0.6100 loss_db: 0.2298 loss: 2.2906 2022/08/26 01:18:33 - mmengine - INFO - Epoch(train) [307][35/63] lr: 5.3694e-03 eta: 6:38:57 time: 0.5674 data_time: 0.0281 memory: 6760 loss_prob: 1.6950 loss_thr: 0.6587 loss_db: 0.2739 loss: 2.6275 2022/08/26 01:18:35 - mmengine - INFO - Epoch(train) [307][40/63] lr: 5.3694e-03 eta: 6:38:52 time: 0.4006 data_time: 0.0273 memory: 6760 loss_prob: 1.7813 loss_thr: 0.6962 loss_db: 0.2840 loss: 2.7615 2022/08/26 01:18:37 - mmengine - INFO - Epoch(train) [307][45/63] lr: 5.3694e-03 eta: 6:38:52 time: 0.3954 data_time: 0.0214 memory: 6760 loss_prob: 1.6890 loss_thr: 0.6808 loss_db: 0.2699 loss: 2.6397 2022/08/26 01:18:39 - mmengine - INFO - Epoch(train) [307][50/63] lr: 5.3694e-03 eta: 6:38:47 time: 0.3897 data_time: 0.0230 memory: 6760 loss_prob: 1.6976 loss_thr: 0.6821 loss_db: 0.2699 loss: 2.6496 2022/08/26 01:18:41 - mmengine - INFO - Epoch(train) [307][55/63] lr: 5.3694e-03 eta: 6:38:47 time: 0.3779 data_time: 0.0179 memory: 6760 loss_prob: 1.5716 loss_thr: 0.6552 loss_db: 0.2466 loss: 2.4735 2022/08/26 01:18:43 - mmengine - INFO - Epoch(train) [307][60/63] lr: 5.3694e-03 eta: 6:38:41 time: 0.3666 data_time: 0.0178 memory: 6760 loss_prob: 1.4869 loss_thr: 0.6297 loss_db: 0.2345 loss: 2.3510 2022/08/26 01:18:44 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:18:47 - mmengine - INFO - Epoch(train) [308][5/63] lr: 5.3640e-03 eta: 6:38:41 time: 0.5171 data_time: 0.1630 memory: 6760 loss_prob: 1.5248 loss_thr: 0.6190 loss_db: 0.2424 loss: 2.3862 2022/08/26 01:18:50 - mmengine - INFO - Epoch(train) [308][10/63] lr: 5.3640e-03 eta: 6:38:36 time: 0.5646 data_time: 0.1664 memory: 6760 loss_prob: 1.6118 loss_thr: 0.6325 loss_db: 0.2479 loss: 2.4922 2022/08/26 01:18:51 - mmengine - INFO - Epoch(train) [308][15/63] lr: 5.3640e-03 eta: 6:38:36 time: 0.4166 data_time: 0.0275 memory: 6760 loss_prob: 1.6326 loss_thr: 0.6270 loss_db: 0.2476 loss: 2.5071 2022/08/26 01:18:53 - mmengine - INFO - Epoch(train) [308][20/63] lr: 5.3640e-03 eta: 6:38:31 time: 0.3888 data_time: 0.0208 memory: 6760 loss_prob: 1.5433 loss_thr: 0.6237 loss_db: 0.2429 loss: 2.4099 2022/08/26 01:18:55 - mmengine - INFO - Epoch(train) [308][25/63] lr: 5.3640e-03 eta: 6:38:31 time: 0.3867 data_time: 0.0243 memory: 6760 loss_prob: 1.5836 loss_thr: 0.6499 loss_db: 0.2536 loss: 2.4871 2022/08/26 01:18:57 - mmengine - INFO - Epoch(train) [308][30/63] lr: 5.3640e-03 eta: 6:38:25 time: 0.3839 data_time: 0.0249 memory: 6760 loss_prob: 1.5073 loss_thr: 0.6378 loss_db: 0.2385 loss: 2.3835 2022/08/26 01:19:00 - mmengine - INFO - Epoch(train) [308][35/63] lr: 5.3640e-03 eta: 6:38:25 time: 0.4714 data_time: 0.0204 memory: 6760 loss_prob: 1.4877 loss_thr: 0.6268 loss_db: 0.2330 loss: 2.3476 2022/08/26 01:19:02 - mmengine - INFO - Epoch(train) [308][40/63] lr: 5.3640e-03 eta: 6:38:23 time: 0.4916 data_time: 0.0231 memory: 6760 loss_prob: 1.5906 loss_thr: 0.6547 loss_db: 0.2548 loss: 2.5001 2022/08/26 01:19:04 - mmengine - INFO - Epoch(train) [308][45/63] lr: 5.3640e-03 eta: 6:38:23 time: 0.3934 data_time: 0.0221 memory: 6760 loss_prob: 1.6398 loss_thr: 0.6776 loss_db: 0.2606 loss: 2.5779 2022/08/26 01:19:06 - mmengine - INFO - Epoch(train) [308][50/63] lr: 5.3640e-03 eta: 6:38:17 time: 0.3753 data_time: 0.0256 memory: 6760 loss_prob: 1.5912 loss_thr: 0.6505 loss_db: 0.2506 loss: 2.4922 2022/08/26 01:19:08 - mmengine - INFO - Epoch(train) [308][55/63] lr: 5.3640e-03 eta: 6:38:17 time: 0.3859 data_time: 0.0239 memory: 6760 loss_prob: 1.7330 loss_thr: 0.6690 loss_db: 0.2737 loss: 2.6758 2022/08/26 01:19:10 - mmengine - INFO - Epoch(train) [308][60/63] lr: 5.3640e-03 eta: 6:38:13 time: 0.4243 data_time: 0.0266 memory: 6760 loss_prob: 1.7263 loss_thr: 0.6913 loss_db: 0.2754 loss: 2.6930 2022/08/26 01:19:11 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:19:15 - mmengine - INFO - Epoch(train) [309][5/63] lr: 5.3586e-03 eta: 6:38:13 time: 0.5655 data_time: 0.1760 memory: 6760 loss_prob: 1.4754 loss_thr: 0.6262 loss_db: 0.2352 loss: 2.3367 2022/08/26 01:19:17 - mmengine - INFO - Epoch(train) [309][10/63] lr: 5.3586e-03 eta: 6:38:07 time: 0.5442 data_time: 0.1681 memory: 6760 loss_prob: 1.3656 loss_thr: 0.6011 loss_db: 0.2147 loss: 2.1814 2022/08/26 01:19:19 - mmengine - INFO - Epoch(train) [309][15/63] lr: 5.3586e-03 eta: 6:38:07 time: 0.3729 data_time: 0.0207 memory: 6760 loss_prob: 1.3193 loss_thr: 0.5884 loss_db: 0.2060 loss: 2.1136 2022/08/26 01:19:21 - mmengine - INFO - Epoch(train) [309][20/63] lr: 5.3586e-03 eta: 6:38:02 time: 0.3885 data_time: 0.0198 memory: 6760 loss_prob: 1.3529 loss_thr: 0.5890 loss_db: 0.2139 loss: 2.1559 2022/08/26 01:19:22 - mmengine - INFO - Epoch(train) [309][25/63] lr: 5.3586e-03 eta: 6:38:02 time: 0.3801 data_time: 0.0179 memory: 6760 loss_prob: 1.5050 loss_thr: 0.6217 loss_db: 0.2393 loss: 2.3660 2022/08/26 01:19:24 - mmengine - INFO - Epoch(train) [309][30/63] lr: 5.3586e-03 eta: 6:37:56 time: 0.3665 data_time: 0.0188 memory: 6760 loss_prob: 1.6123 loss_thr: 0.6289 loss_db: 0.2489 loss: 2.4900 2022/08/26 01:19:26 - mmengine - INFO - Epoch(train) [309][35/63] lr: 5.3586e-03 eta: 6:37:56 time: 0.3681 data_time: 0.0210 memory: 6760 loss_prob: 1.4552 loss_thr: 0.6028 loss_db: 0.2243 loss: 2.2823 2022/08/26 01:19:28 - mmengine - INFO - Epoch(train) [309][40/63] lr: 5.3586e-03 eta: 6:37:50 time: 0.3664 data_time: 0.0225 memory: 6760 loss_prob: 1.3954 loss_thr: 0.5844 loss_db: 0.2207 loss: 2.2005 2022/08/26 01:19:31 - mmengine - INFO - Epoch(train) [309][45/63] lr: 5.3586e-03 eta: 6:37:50 time: 0.5078 data_time: 0.0318 memory: 6760 loss_prob: 1.5382 loss_thr: 0.6238 loss_db: 0.2373 loss: 2.3993 2022/08/26 01:19:33 - mmengine - INFO - Epoch(train) [309][50/63] lr: 5.3586e-03 eta: 6:37:48 time: 0.5167 data_time: 0.0282 memory: 6760 loss_prob: 1.8062 loss_thr: 0.6805 loss_db: 0.2716 loss: 2.7584 2022/08/26 01:19:35 - mmengine - INFO - Epoch(train) [309][55/63] lr: 5.3586e-03 eta: 6:37:48 time: 0.3760 data_time: 0.0179 memory: 6760 loss_prob: 1.7394 loss_thr: 0.6684 loss_db: 0.2655 loss: 2.6733 2022/08/26 01:19:37 - mmengine - INFO - Epoch(train) [309][60/63] lr: 5.3586e-03 eta: 6:37:42 time: 0.3627 data_time: 0.0212 memory: 6760 loss_prob: 1.5614 loss_thr: 0.6483 loss_db: 0.2445 loss: 2.4542 2022/08/26 01:19:38 - mmengine - INFO - Exp name: dbnet_resnet18_fpnc_1200e_icdar2015_20220825_221614 2022/08/26 01:19:41 - mmengine - INFO - Epoch(train) [310][5/63] lr: 5.3532e-03 eta: 6:37:42 time: 0.4984 data_time: 0.1585 memory: 6760 loss_prob: 1.5475 loss_thr: 0.6383 loss_db: 0.2431 loss: 2.4290 2022/08/26 01:19:43 - mmengine - INFO - Epoch(train) [310][10/63] lr: 5.3532e-03 eta: 6:37:36 time: 0.5267 data_time: 0.1587 memory: 6760 loss_prob: 1.5881 loss_thr: 0.6536 loss_db: 0.2499 loss: 2.4916 2022/08/26 01:19:45 - mmengine - INFO - Epoch(train) [310][15/63] lr: 5.3532e-03 eta: 6:37:36 time: 0.3712 data_time: 0.0196 memory: 6760 loss_prob: 1.6530 loss_thr: 0.6624 loss_db: 0.2645 loss: 2.5799 2022/08/26 01:19:47 - mmengine - INFO - Epoch(train) [310][20/63] lr: 5.3532e-03 eta: 6:37:30 time: 0.3629 data_time: 0.0147 memory: 6760 loss_prob: 1.7496 loss_thr: 0.6755 loss_db: 0.2880 loss: 2.7131 2022/08/26 01:19:49 - mmengine - INFO - Epoch(train) [310][25/63] lr: 5.3532e-03 eta: 6:37:30 time: 0.3852 data_time: 0.0222 memory: 6760 loss_prob: 1.8597 loss_thr: 0.6710 loss_db: 0.3119 loss: 2.8426 2022/08/26 01:19:52 - mmengine - INF