08/28 13:27:40 - 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: 1583239813 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 ------------------------------------------------------------ 08/28 13:27:40 - mmengine - INFO - Config: file_client_args = dict(backend='disk') model = dict( type='DBNet', backbone=dict( type='mmdet.ResNet', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=-1, norm_cfg=dict(type='BN', requires_grad=True), norm_eval=False, style='pytorch', dcn=dict(type='DCNv2', deform_groups=1, fallback_on_stride=False), init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'), stage_with_dcn=(False, True, True, True)), neck=dict( type='FPNC', in_channels=[256, 512, 1024, 2048], 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_bbox=True, with_polygon=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=(4068, 1024), 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_bbox=True, with_polygon=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=(4068, 1024), 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 = '~/dbnet_pretrain/dbnet_r50dcnv2_fpnc_sbn_2e_synthtext_20210325-aa96e477.pth' 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_bbox=True, with_polygon=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=(4068, 1024), 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=(4068, 1024), 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_resnet50-dcnv2_fpnc_1200e_icdar2015' 08/28 13:35:53 - mmengine - INFO - load model from: torchvision://resnet50 08/28 13:35:53 - mmengine - INFO - torchvision loads checkpoint from path: torchvision://resnet50 08/28 13:36:00 - mmengine - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: fc.weight, fc.bias missing keys in source state_dict: layer2.0.conv2.conv_offset.weight, layer2.0.conv2.conv_offset.bias, layer2.1.conv2.conv_offset.weight, layer2.1.conv2.conv_offset.bias, layer2.2.conv2.conv_offset.weight, layer2.2.conv2.conv_offset.bias, layer2.3.conv2.conv_offset.weight, layer2.3.conv2.conv_offset.bias, layer3.0.conv2.conv_offset.weight, layer3.0.conv2.conv_offset.bias, layer3.1.conv2.conv_offset.weight, layer3.1.conv2.conv_offset.bias, layer3.2.conv2.conv_offset.weight, layer3.2.conv2.conv_offset.bias, layer3.3.conv2.conv_offset.weight, layer3.3.conv2.conv_offset.bias, layer3.4.conv2.conv_offset.weight, layer3.4.conv2.conv_offset.bias, layer3.5.conv2.conv_offset.weight, layer3.5.conv2.conv_offset.bias, layer4.0.conv2.conv_offset.weight, layer4.0.conv2.conv_offset.bias, layer4.1.conv2.conv_offset.weight, layer4.1.conv2.conv_offset.bias, layer4.2.conv2.conv_offset.weight, layer4.2.conv2.conv_offset.bias local loads checkpoint from path: ~/dbnet_pretrain/dbnet_r50dcnv2_fpnc_sbn_2e_synthtext_20210325-aa96e477.pth 08/28 13:36:20 - mmengine - INFO - Load checkpoint from ~/dbnet_pretrain/dbnet_r50dcnv2_fpnc_sbn_2e_synthtext_20210325-aa96e477.pth 08/28 13:49:18 - mmengine - INFO - Epoch(train) [1][5/63] lr: 7.0000e-03 memory: 47210 data_time: 152.7943 loss_prob: 8.0502 loss_thr: 1.4350 loss_db: 0.9992 loss: 10.4844 time: 155.6661 08/28 13:49:23 - mmengine - INFO - Epoch(train) [1][10/63] lr: 7.0000e-03 eta: 68 days, 12:04:09 time: 78.2994 data_time: 76.5075 memory: 14974 loss_prob: 5.6386 loss_thr: 1.2860 loss_db: 0.9977 loss: 7.9223 08/28 13:49:27 - mmengine - INFO - Epoch(train) [1][15/63] lr: 7.0000e-03 eta: 68 days, 12:04:09 time: 0.9157 data_time: 0.1426 memory: 14974 loss_prob: 3.0956 loss_thr: 1.1445 loss_db: 0.9866 loss: 5.2268 08/28 13:49:32 - mmengine - INFO - Epoch(train) [1][20/63] lr: 7.0000e-03 eta: 34 days, 15:14:28 time: 0.8874 data_time: 0.0542 memory: 14974 loss_prob: 2.9713 loss_thr: 1.1650 loss_db: 0.9214 loss: 5.0577 08/28 13:49:37 - mmengine - INFO - Epoch(train) [1][25/63] lr: 7.0000e-03 eta: 34 days, 15:14:28 time: 0.9671 data_time: 0.0808 memory: 14974 loss_prob: 2.9477 loss_thr: 1.1579 loss_db: 0.7900 loss: 4.8956 08/28 13:49:41 - mmengine - INFO - Epoch(train) [1][30/63] lr: 7.0000e-03 eta: 23 days, 8:32:29 time: 0.9224 data_time: 0.0865 memory: 14974 loss_prob: 2.8435 loss_thr: 1.1195 loss_db: 0.6207 loss: 4.5837 08/28 13:49:45 - mmengine - INFO - Epoch(train) [1][35/63] lr: 7.0000e-03 eta: 23 days, 8:32:29 time: 0.7874 data_time: 0.0552 memory: 14974 loss_prob: 2.7510 loss_thr: 1.1051 loss_db: 0.5516 loss: 4.4076 08/28 13:49:50 - mmengine - INFO - Epoch(train) [1][40/63] lr: 7.0000e-03 eta: 17 days, 16:59:37 time: 0.8849 data_time: 0.0766 memory: 14974 loss_prob: 2.6466 loss_thr: 1.0750 loss_db: 0.5237 loss: 4.2453 08/28 13:49:54 - mmengine - INFO - Epoch(train) [1][45/63] lr: 7.0000e-03 eta: 17 days, 16:59:37 time: 0.8989 data_time: 0.0914 memory: 14974 loss_prob: 2.6007 loss_thr: 1.0498 loss_db: 0.5073 loss: 4.1577 08/28 13:49:58 - mmengine - INFO - Epoch(train) [1][50/63] lr: 7.0000e-03 eta: 14 days, 7:20:30 time: 0.8081 data_time: 0.0775 memory: 14974 loss_prob: 2.6013 loss_thr: 1.0488 loss_db: 0.5273 loss: 4.1775 08/28 13:50:02 - mmengine - INFO - Epoch(train) [1][55/63] lr: 7.0000e-03 eta: 14 days, 7:20:30 time: 0.8534 data_time: 0.0923 memory: 14974 loss_prob: 2.4501 loss_thr: 1.0146 loss_db: 0.4598 loss: 3.9245 08/28 13:50:06 - mmengine - INFO - Epoch(train) [1][60/63] lr: 7.0000e-03 eta: 12 days, 1:02:52 time: 0.8486 data_time: 0.0934 memory: 14974 loss_prob: 2.5777 loss_thr: 1.0029 loss_db: 0.4946 loss: 4.0752 08/28 13:50:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:50:21 - mmengine - INFO - Epoch(train) [2][5/63] lr: 6.9947e-03 eta: 12 days, 1:02:52 time: 1.5803 data_time: 0.1703 memory: 40418 loss_prob: 2.4449 loss_thr: 0.9718 loss_db: 0.4108 loss: 3.8276 08/28 13:50:25 - mmengine - INFO - Epoch(train) [2][10/63] lr: 6.9947e-03 eta: 10 days, 0:22:58 time: 0.9917 data_time: 0.2696 memory: 14973 loss_prob: 2.3317 loss_thr: 0.9668 loss_db: 0.4206 loss: 3.7191 08/28 13:50:31 - mmengine - INFO - Epoch(train) [2][15/63] lr: 6.9947e-03 eta: 10 days, 0:22:58 time: 1.0614 data_time: 0.1407 memory: 14973 loss_prob: 2.4078 loss_thr: 0.9898 loss_db: 0.4554 loss: 3.8530 08/28 13:50:36 - mmengine - INFO - Epoch(train) [2][20/63] lr: 6.9947e-03 eta: 8 days, 22:05:58 time: 1.0708 data_time: 0.1314 memory: 14973 loss_prob: 2.4648 loss_thr: 0.9953 loss_db: 0.4612 loss: 3.9213 08/28 13:50:40 - mmengine - INFO - Epoch(train) [2][25/63] lr: 6.9947e-03 eta: 8 days, 22:05:58 time: 0.8702 data_time: 0.1376 memory: 14973 loss_prob: 2.4462 loss_thr: 0.9605 loss_db: 0.4743 loss: 3.8809 08/28 13:50:44 - mmengine - INFO - Epoch(train) [2][30/63] lr: 6.9947e-03 eta: 8 days, 0:54:11 time: 0.8204 data_time: 0.0621 memory: 14973 loss_prob: 2.3754 loss_thr: 0.9295 loss_db: 0.4478 loss: 3.7527 08/28 13:50:49 - mmengine - INFO - Epoch(train) [2][35/63] lr: 6.9947e-03 eta: 8 days, 0:54:11 time: 0.9214 data_time: 0.0953 memory: 14973 loss_prob: 2.3343 loss_thr: 0.9412 loss_db: 0.4116 loss: 3.6871 08/28 13:50:53 - mmengine - INFO - Epoch(train) [2][40/63] lr: 6.9947e-03 eta: 7 days, 7:54:02 time: 0.8591 data_time: 0.0825 memory: 14973 loss_prob: 2.2880 loss_thr: 0.9343 loss_db: 0.3984 loss: 3.6206 08/28 13:50:57 - mmengine - INFO - Epoch(train) [2][45/63] lr: 6.9947e-03 eta: 7 days, 7:54:02 time: 0.7660 data_time: 0.0451 memory: 14973 loss_prob: 2.2339 loss_thr: 0.9119 loss_db: 0.3852 loss: 3.5310 08/28 13:51:01 - mmengine - INFO - Epoch(train) [2][50/63] lr: 6.9947e-03 eta: 6 days, 17:55:20 time: 0.8673 data_time: 0.0778 memory: 14973 loss_prob: 2.2051 loss_thr: 0.9101 loss_db: 0.3839 loss: 3.4991 08/28 13:51:05 - mmengine - INFO - Epoch(train) [2][55/63] lr: 6.9947e-03 eta: 6 days, 17:55:20 time: 0.8420 data_time: 0.0718 memory: 14973 loss_prob: 2.1413 loss_thr: 0.9044 loss_db: 0.3683 loss: 3.4140 08/28 13:51:09 - mmengine - INFO - Epoch(train) [2][60/63] lr: 6.9947e-03 eta: 6 days, 6:06:39 time: 0.8053 data_time: 0.0533 memory: 14973 loss_prob: 2.2106 loss_thr: 0.9004 loss_db: 0.3911 loss: 3.5021 08/28 13:51:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:51:17 - mmengine - INFO - Epoch(train) [3][5/63] lr: 6.9895e-03 eta: 6 days, 6:06:39 time: 0.9173 data_time: 0.2280 memory: 14973 loss_prob: 2.0008 loss_thr: 0.8426 loss_db: 0.3371 loss: 3.1805 08/28 13:51:21 - mmengine - INFO - Epoch(train) [3][10/63] lr: 6.9895e-03 eta: 5 days, 17:06:44 time: 0.8912 data_time: 0.1764 memory: 14973 loss_prob: 2.0913 loss_thr: 0.8605 loss_db: 0.3542 loss: 3.3060 08/28 13:51:25 - mmengine - INFO - Epoch(train) [3][15/63] lr: 6.9895e-03 eta: 5 days, 17:06:44 time: 0.8111 data_time: 0.1127 memory: 14973 loss_prob: 2.1755 loss_thr: 0.8778 loss_db: 0.3674 loss: 3.4207 08/28 13:51:30 - mmengine - INFO - Epoch(train) [3][20/63] lr: 6.9895e-03 eta: 5 days, 9:01:49 time: 0.9238 data_time: 0.1364 memory: 14973 loss_prob: 2.0565 loss_thr: 0.8527 loss_db: 0.3530 loss: 3.2622 08/28 13:51:34 - mmengine - INFO - Epoch(train) [3][25/63] lr: 6.9895e-03 eta: 5 days, 9:01:49 time: 0.8914 data_time: 0.0924 memory: 14973 loss_prob: 2.0487 loss_thr: 0.8497 loss_db: 0.3590 loss: 3.2575 08/28 13:51:39 - mmengine - INFO - Epoch(train) [3][30/63] lr: 6.9895e-03 eta: 5 days, 1:57:31 time: 0.9049 data_time: 0.1302 memory: 14973 loss_prob: 2.1644 loss_thr: 0.8787 loss_db: 0.3755 loss: 3.4187 08/28 13:51:44 - mmengine - INFO - Epoch(train) [3][35/63] lr: 6.9895e-03 eta: 5 days, 1:57:31 time: 0.9718 data_time: 0.1195 memory: 14973 loss_prob: 2.2000 loss_thr: 0.8876 loss_db: 0.3839 loss: 3.4715 08/28 13:51:48 - mmengine - INFO - Epoch(train) [3][40/63] lr: 6.9895e-03 eta: 4 days, 19:40:44 time: 0.8574 data_time: 0.0651 memory: 14973 loss_prob: 2.1564 loss_thr: 0.8721 loss_db: 0.3761 loss: 3.4045 08/28 13:51:52 - mmengine - INFO - Epoch(train) [3][45/63] lr: 6.9895e-03 eta: 4 days, 19:40:44 time: 0.8360 data_time: 0.1263 memory: 14973 loss_prob: 2.2315 loss_thr: 0.8713 loss_db: 0.3921 loss: 3.4949 08/28 13:51:57 - mmengine - INFO - Epoch(train) [3][50/63] lr: 6.9895e-03 eta: 4 days, 14:09:16 time: 0.8927 data_time: 0.1278 memory: 14973 loss_prob: 2.1794 loss_thr: 0.8639 loss_db: 0.3786 loss: 3.4219 08/28 13:52:01 - mmengine - INFO - Epoch(train) [3][55/63] lr: 6.9895e-03 eta: 4 days, 14:09:16 time: 0.9132 data_time: 0.0580 memory: 14973 loss_prob: 1.9936 loss_thr: 0.8486 loss_db: 0.3326 loss: 3.1748 08/28 13:52:06 - mmengine - INFO - Epoch(train) [3][60/63] lr: 6.9895e-03 eta: 4 days, 9:14:02 time: 0.9017 data_time: 0.1053 memory: 14973 loss_prob: 1.9990 loss_thr: 0.8277 loss_db: 0.3398 loss: 3.1666 08/28 13:52:08 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:52:14 - mmengine - INFO - Epoch(train) [4][5/63] lr: 6.9842e-03 eta: 4 days, 9:14:02 time: 0.9068 data_time: 0.1739 memory: 14973 loss_prob: 1.9989 loss_thr: 0.8315 loss_db: 0.3337 loss: 3.1641 08/28 13:52:18 - mmengine - INFO - Epoch(train) [4][10/63] lr: 6.9842e-03 eta: 4 days, 3:23:11 time: 0.9920 data_time: 0.2457 memory: 14973 loss_prob: 2.0521 loss_thr: 0.8582 loss_db: 0.3519 loss: 3.2622 08/28 13:52:22 - mmengine - INFO - Epoch(train) [4][15/63] lr: 6.9842e-03 eta: 4 days, 3:23:11 time: 0.8243 data_time: 0.1162 memory: 14973 loss_prob: 1.9458 loss_thr: 0.8181 loss_db: 0.3316 loss: 3.0954 08/28 13:52:26 - mmengine - INFO - Epoch(train) [4][20/63] lr: 6.9842e-03 eta: 3 days, 23:23:24 time: 0.7699 data_time: 0.0554 memory: 14973 loss_prob: 1.8999 loss_thr: 0.8172 loss_db: 0.3097 loss: 3.0268 08/28 13:52:30 - mmengine - INFO - Epoch(train) [4][25/63] lr: 6.9842e-03 eta: 3 days, 23:23:24 time: 0.8310 data_time: 0.0814 memory: 14973 loss_prob: 2.1370 loss_thr: 0.8391 loss_db: 0.3675 loss: 3.3436 08/28 13:52:34 - mmengine - INFO - Epoch(train) [4][30/63] lr: 6.9842e-03 eta: 3 days, 19:48:07 time: 0.8156 data_time: 0.0734 memory: 14973 loss_prob: 2.2715 loss_thr: 0.8494 loss_db: 0.3995 loss: 3.5204 08/28 13:52:38 - mmengine - INFO - Epoch(train) [4][35/63] lr: 6.9842e-03 eta: 3 days, 19:48:07 time: 0.7678 data_time: 0.0547 memory: 14973 loss_prob: 2.2482 loss_thr: 0.8746 loss_db: 0.3905 loss: 3.5133 08/28 13:52:42 - mmengine - INFO - Epoch(train) [4][40/63] lr: 6.9842e-03 eta: 3 days, 16:32:24 time: 0.8297 data_time: 0.0987 memory: 14973 loss_prob: 2.2397 loss_thr: 0.8618 loss_db: 0.3846 loss: 3.4860 08/28 13:52:46 - mmengine - INFO - Epoch(train) [4][45/63] lr: 6.9842e-03 eta: 3 days, 16:32:24 time: 0.8217 data_time: 0.1008 memory: 14973 loss_prob: 2.1494 loss_thr: 0.8097 loss_db: 0.3568 loss: 3.3159 08/28 13:52:50 - mmengine - INFO - Epoch(train) [4][50/63] lr: 6.9842e-03 eta: 3 days, 13:29:56 time: 0.7704 data_time: 0.0667 memory: 14973 loss_prob: 1.9230 loss_thr: 0.7620 loss_db: 0.3086 loss: 2.9936 08/28 13:52:54 - mmengine - INFO - Epoch(train) [4][55/63] lr: 6.9842e-03 eta: 3 days, 13:29:56 time: 0.8449 data_time: 0.1350 memory: 14973 loss_prob: 2.0388 loss_thr: 0.8372 loss_db: 0.3398 loss: 3.2157 08/28 13:52:59 - mmengine - INFO - Epoch(train) [4][60/63] lr: 6.9842e-03 eta: 3 days, 10:52:02 time: 0.9669 data_time: 0.1421 memory: 14973 loss_prob: 2.0110 loss_thr: 0.8402 loss_db: 0.3463 loss: 3.1974 08/28 13:53:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:53:07 - mmengine - INFO - Epoch(train) [5][5/63] lr: 6.9790e-03 eta: 3 days, 10:52:02 time: 0.9666 data_time: 0.1857 memory: 14973 loss_prob: 1.9612 loss_thr: 0.7932 loss_db: 0.3421 loss: 3.0965 08/28 13:53:12 - mmengine - INFO - Epoch(train) [5][10/63] lr: 6.9790e-03 eta: 3 days, 7:30:58 time: 0.9693 data_time: 0.2444 memory: 14973 loss_prob: 1.9995 loss_thr: 0.7979 loss_db: 0.3342 loss: 3.1316 08/28 13:53:16 - mmengine - INFO - Epoch(train) [5][15/63] lr: 6.9790e-03 eta: 3 days, 7:30:58 time: 0.8386 data_time: 0.1195 memory: 14973 loss_prob: 1.9955 loss_thr: 0.8062 loss_db: 0.3238 loss: 3.1254 08/28 13:53:21 - mmengine - INFO - Epoch(train) [5][20/63] lr: 6.9790e-03 eta: 3 days, 5:16:17 time: 0.8953 data_time: 0.0542 memory: 14973 loss_prob: 1.9608 loss_thr: 0.8077 loss_db: 0.3259 loss: 3.0945 08/28 13:53:25 - mmengine - INFO - Epoch(train) [5][25/63] lr: 6.9790e-03 eta: 3 days, 5:16:17 time: 0.9258 data_time: 0.0939 memory: 14973 loss_prob: 1.9991 loss_thr: 0.8034 loss_db: 0.3456 loss: 3.1481 08/28 13:53:29 - mmengine - INFO - Epoch(train) [5][30/63] lr: 6.9790e-03 eta: 3 days, 3:08:07 time: 0.8277 data_time: 0.0903 memory: 14973 loss_prob: 2.0112 loss_thr: 0.7688 loss_db: 0.3404 loss: 3.1204 08/28 13:53:33 - mmengine - INFO - Epoch(train) [5][35/63] lr: 6.9790e-03 eta: 3 days, 3:08:07 time: 0.7928 data_time: 0.0420 memory: 14973 loss_prob: 1.8381 loss_thr: 0.7490 loss_db: 0.2968 loss: 2.8838 08/28 13:53:38 - mmengine - INFO - Epoch(train) [5][40/63] lr: 6.9790e-03 eta: 3 days, 1:10:59 time: 0.8799 data_time: 0.0990 memory: 14973 loss_prob: 1.9409 loss_thr: 0.7824 loss_db: 0.3266 loss: 3.0498 08/28 13:53:42 - mmengine - INFO - Epoch(train) [5][45/63] lr: 6.9790e-03 eta: 3 days, 1:10:59 time: 0.8804 data_time: 0.1068 memory: 14973 loss_prob: 2.1875 loss_thr: 0.8131 loss_db: 0.3761 loss: 3.3767 08/28 13:53:46 - mmengine - INFO - Epoch(train) [5][50/63] lr: 6.9790e-03 eta: 2 days, 23:17:21 time: 0.7781 data_time: 0.0501 memory: 14973 loss_prob: 2.0866 loss_thr: 0.8000 loss_db: 0.3549 loss: 3.2415 08/28 13:53:50 - mmengine - INFO - Epoch(train) [5][55/63] lr: 6.9790e-03 eta: 2 days, 23:17:21 time: 0.8534 data_time: 0.0978 memory: 14973 loss_prob: 1.8602 loss_thr: 0.7577 loss_db: 0.3089 loss: 2.9268 08/28 13:53:54 - mmengine - INFO - Epoch(train) [5][60/63] lr: 6.9790e-03 eta: 2 days, 21:33:17 time: 0.8349 data_time: 0.0925 memory: 14973 loss_prob: 2.0055 loss_thr: 0.7771 loss_db: 0.3366 loss: 3.1192 08/28 13:53:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:54:01 - mmengine - INFO - Epoch(train) [6][5/63] lr: 6.9737e-03 eta: 2 days, 21:33:17 time: 0.8640 data_time: 0.1963 memory: 14973 loss_prob: 1.9689 loss_thr: 0.8093 loss_db: 0.3340 loss: 3.1122 08/28 13:54:06 - mmengine - INFO - Epoch(train) [6][10/63] lr: 6.9737e-03 eta: 2 days, 19:23:16 time: 0.9741 data_time: 0.2658 memory: 14973 loss_prob: 1.9997 loss_thr: 0.8330 loss_db: 0.3377 loss: 3.1704 08/28 13:54:10 - mmengine - INFO - Epoch(train) [6][15/63] lr: 6.9737e-03 eta: 2 days, 19:23:16 time: 0.8956 data_time: 0.1332 memory: 14973 loss_prob: 1.8267 loss_thr: 0.7794 loss_db: 0.3082 loss: 2.9142 08/28 13:54:14 - mmengine - INFO - Epoch(train) [6][20/63] lr: 6.9737e-03 eta: 2 days, 17:54:32 time: 0.8675 data_time: 0.0661 memory: 14973 loss_prob: 1.7999 loss_thr: 0.7613 loss_db: 0.3034 loss: 2.8646 08/28 13:54:19 - mmengine - INFO - Epoch(train) [6][25/63] lr: 6.9737e-03 eta: 2 days, 17:54:32 time: 0.9368 data_time: 0.1291 memory: 14973 loss_prob: 1.7663 loss_thr: 0.7567 loss_db: 0.2938 loss: 2.8167 08/28 13:54:23 - mmengine - INFO - Epoch(train) [6][30/63] lr: 6.9737e-03 eta: 2 days, 16:32:12 time: 0.9024 data_time: 0.1207 memory: 14973 loss_prob: 1.7290 loss_thr: 0.7433 loss_db: 0.2930 loss: 2.7652 08/28 13:54:28 - mmengine - INFO - Epoch(train) [6][35/63] lr: 6.9737e-03 eta: 2 days, 16:32:12 time: 0.8278 data_time: 0.0578 memory: 14973 loss_prob: 1.7484 loss_thr: 0.7473 loss_db: 0.2939 loss: 2.7896 08/28 13:54:32 - mmengine - INFO - Epoch(train) [6][40/63] lr: 6.9737e-03 eta: 2 days, 15:15:03 time: 0.9176 data_time: 0.1267 memory: 14973 loss_prob: 1.7587 loss_thr: 0.7761 loss_db: 0.2863 loss: 2.8211 08/28 13:54:37 - mmengine - INFO - Epoch(train) [6][45/63] lr: 6.9737e-03 eta: 2 days, 15:15:03 time: 0.9363 data_time: 0.1211 memory: 14973 loss_prob: 1.8851 loss_thr: 0.7902 loss_db: 0.3210 loss: 2.9963 08/28 13:54:41 - mmengine - INFO - Epoch(train) [6][50/63] lr: 6.9737e-03 eta: 2 days, 13:59:03 time: 0.8287 data_time: 0.0507 memory: 14973 loss_prob: 1.9711 loss_thr: 0.7600 loss_db: 0.3391 loss: 3.0703 08/28 13:54:46 - mmengine - INFO - Epoch(train) [6][55/63] lr: 6.9737e-03 eta: 2 days, 13:59:03 time: 0.8690 data_time: 0.0800 memory: 14973 loss_prob: 1.9831 loss_thr: 0.7690 loss_db: 0.3285 loss: 3.0806 08/28 13:54:50 - mmengine - INFO - Epoch(train) [6][60/63] lr: 6.9737e-03 eta: 2 days, 12:49:02 time: 0.8865 data_time: 0.0902 memory: 14973 loss_prob: 1.9512 loss_thr: 0.7991 loss_db: 0.3237 loss: 3.0739 08/28 13:54:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:54:57 - mmengine - INFO - Epoch(train) [7][5/63] lr: 6.9685e-03 eta: 2 days, 12:49:02 time: 0.8618 data_time: 0.1633 memory: 14973 loss_prob: 1.7647 loss_thr: 0.7560 loss_db: 0.2901 loss: 2.8109 08/28 13:55:01 - mmengine - INFO - Epoch(train) [7][10/63] lr: 6.9685e-03 eta: 2 days, 11:17:12 time: 0.9606 data_time: 0.2281 memory: 14973 loss_prob: 1.8069 loss_thr: 0.7551 loss_db: 0.3009 loss: 2.8629 08/28 13:55:05 - mmengine - INFO - Epoch(train) [7][15/63] lr: 6.9685e-03 eta: 2 days, 11:17:12 time: 0.8154 data_time: 0.1026 memory: 14973 loss_prob: 1.9422 loss_thr: 0.7641 loss_db: 0.3234 loss: 3.0297 08/28 13:55:09 - mmengine - INFO - Epoch(train) [7][20/63] lr: 6.9685e-03 eta: 2 days, 10:11:12 time: 0.7569 data_time: 0.0388 memory: 14973 loss_prob: 1.9849 loss_thr: 0.7536 loss_db: 0.3285 loss: 3.0669 08/28 13:55:13 - mmengine - INFO - Epoch(train) [7][25/63] lr: 6.9685e-03 eta: 2 days, 10:11:12 time: 0.8245 data_time: 0.1171 memory: 14973 loss_prob: 1.9035 loss_thr: 0.7530 loss_db: 0.3192 loss: 2.9756 08/28 13:55:17 - mmengine - INFO - Epoch(train) [7][30/63] lr: 6.9685e-03 eta: 2 days, 9:11:22 time: 0.8527 data_time: 0.1219 memory: 14973 loss_prob: 1.8339 loss_thr: 0.7574 loss_db: 0.3107 loss: 2.9021 08/28 13:55:21 - mmengine - INFO - Epoch(train) [7][35/63] lr: 6.9685e-03 eta: 2 days, 9:11:22 time: 0.8049 data_time: 0.0713 memory: 14973 loss_prob: 1.7959 loss_thr: 0.7536 loss_db: 0.3013 loss: 2.8507 08/28 13:55:26 - mmengine - INFO - Epoch(train) [7][40/63] lr: 6.9685e-03 eta: 2 days, 8:14:56 time: 0.8706 data_time: 0.1308 memory: 14973 loss_prob: 1.9477 loss_thr: 0.7725 loss_db: 0.3256 loss: 3.0458 08/28 13:55:31 - mmengine - INFO - Epoch(train) [7][45/63] lr: 6.9685e-03 eta: 2 days, 8:14:56 time: 0.9903 data_time: 0.1174 memory: 14973 loss_prob: 1.8624 loss_thr: 0.7763 loss_db: 0.3068 loss: 2.9455 08/28 13:55:35 - mmengine - INFO - Epoch(train) [7][50/63] lr: 6.9685e-03 eta: 2 days, 7:22:39 time: 0.9226 data_time: 0.0749 memory: 14973 loss_prob: 1.7548 loss_thr: 0.7659 loss_db: 0.2908 loss: 2.8115 08/28 13:55:41 - mmengine - INFO - Epoch(train) [7][55/63] lr: 6.9685e-03 eta: 2 days, 7:22:39 time: 0.9415 data_time: 0.1260 memory: 14973 loss_prob: 2.0084 loss_thr: 0.7836 loss_db: 0.3448 loss: 3.1369 08/28 13:55:45 - mmengine - INFO - Epoch(train) [7][60/63] lr: 6.9685e-03 eta: 2 days, 6:34:11 time: 0.9729 data_time: 0.1137 memory: 14973 loss_prob: 2.1101 loss_thr: 0.7971 loss_db: 0.3650 loss: 3.2722 08/28 13:55:47 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:55:53 - mmengine - INFO - Epoch(train) [8][5/63] lr: 6.9632e-03 eta: 2 days, 6:34:11 time: 0.9010 data_time: 0.1755 memory: 14973 loss_prob: 1.9576 loss_thr: 0.7889 loss_db: 0.3343 loss: 3.0808 08/28 13:55:57 - mmengine - INFO - Epoch(train) [8][10/63] lr: 6.9632e-03 eta: 2 days, 5:25:52 time: 0.9583 data_time: 0.2067 memory: 14973 loss_prob: 2.0027 loss_thr: 0.7947 loss_db: 0.3358 loss: 3.1331 08/28 13:56:01 - mmengine - INFO - Epoch(train) [8][15/63] lr: 6.9632e-03 eta: 2 days, 5:25:52 time: 0.8362 data_time: 0.1041 memory: 14973 loss_prob: 1.9766 loss_thr: 0.7983 loss_db: 0.3327 loss: 3.1076 08/28 13:56:05 - mmengine - INFO - Epoch(train) [8][20/63] lr: 6.9632e-03 eta: 2 days, 4:37:01 time: 0.7771 data_time: 0.0754 memory: 14973 loss_prob: 1.8622 loss_thr: 0.7750 loss_db: 0.3181 loss: 2.9552 08/28 13:56:10 - mmengine - INFO - Epoch(train) [8][25/63] lr: 6.9632e-03 eta: 2 days, 4:37:01 time: 0.8776 data_time: 0.1036 memory: 14973 loss_prob: 1.7301 loss_thr: 0.7451 loss_db: 0.2857 loss: 2.7609 08/28 13:56:14 - mmengine - INFO - Epoch(train) [8][30/63] lr: 6.9632e-03 eta: 2 days, 3:53:05 time: 0.8843 data_time: 0.0976 memory: 14973 loss_prob: 1.7476 loss_thr: 0.7305 loss_db: 0.2934 loss: 2.7715 08/28 13:56:17 - mmengine - INFO - Epoch(train) [8][35/63] lr: 6.9632e-03 eta: 2 days, 3:53:05 time: 0.7693 data_time: 0.0433 memory: 14973 loss_prob: 1.9048 loss_thr: 0.7538 loss_db: 0.3239 loss: 2.9825 08/28 13:56:22 - mmengine - INFO - Epoch(train) [8][40/63] lr: 6.9632e-03 eta: 2 days, 3:09:14 time: 0.8177 data_time: 0.0671 memory: 14973 loss_prob: 1.8272 loss_thr: 0.7703 loss_db: 0.3075 loss: 2.9050 08/28 13:56:26 - mmengine - INFO - Epoch(train) [8][45/63] lr: 6.9632e-03 eta: 2 days, 3:09:14 time: 0.8426 data_time: 0.0871 memory: 14973 loss_prob: 1.7337 loss_thr: 0.7765 loss_db: 0.2863 loss: 2.7966 08/28 13:56:30 - mmengine - INFO - Epoch(train) [8][50/63] lr: 6.9632e-03 eta: 2 days, 2:27:24 time: 0.8266 data_time: 0.0885 memory: 14973 loss_prob: 1.7169 loss_thr: 0.7491 loss_db: 0.2810 loss: 2.7470 08/28 13:56:34 - mmengine - INFO - Epoch(train) [8][55/63] lr: 6.9632e-03 eta: 2 days, 2:27:24 time: 0.8501 data_time: 0.1267 memory: 14973 loss_prob: 1.6871 loss_thr: 0.7557 loss_db: 0.2720 loss: 2.7148 08/28 13:56:39 - mmengine - INFO - Epoch(train) [8][60/63] lr: 6.9632e-03 eta: 2 days, 1:48:29 time: 0.8766 data_time: 0.1227 memory: 14973 loss_prob: 1.7403 loss_thr: 0.7819 loss_db: 0.2884 loss: 2.8105 08/28 13:56:41 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:56:48 - mmengine - INFO - Epoch(train) [9][5/63] lr: 6.9580e-03 eta: 2 days, 1:48:29 time: 1.0158 data_time: 0.2060 memory: 14973 loss_prob: 1.8821 loss_thr: 0.7255 loss_db: 0.3239 loss: 2.9315 08/28 13:56:52 - mmengine - INFO - Epoch(train) [9][10/63] lr: 6.9580e-03 eta: 2 days, 0:58:23 time: 1.0675 data_time: 0.2663 memory: 14973 loss_prob: 1.9606 loss_thr: 0.7484 loss_db: 0.3457 loss: 3.0547 08/28 13:56:56 - mmengine - INFO - Epoch(train) [9][15/63] lr: 6.9580e-03 eta: 2 days, 0:58:23 time: 0.8434 data_time: 0.1268 memory: 14973 loss_prob: 2.1510 loss_thr: 0.7691 loss_db: 0.4029 loss: 3.3230 08/28 13:57:01 - mmengine - INFO - Epoch(train) [9][20/63] lr: 6.9580e-03 eta: 2 days, 0:23:54 time: 0.9201 data_time: 0.0871 memory: 14973 loss_prob: 2.0003 loss_thr: 0.7633 loss_db: 0.3452 loss: 3.1088 08/28 13:57:06 - mmengine - INFO - Epoch(train) [9][25/63] lr: 6.9580e-03 eta: 2 days, 0:23:54 time: 1.0083 data_time: 0.1167 memory: 14973 loss_prob: 1.8551 loss_thr: 0.7905 loss_db: 0.3031 loss: 2.9488 08/28 13:57:10 - mmengine - INFO - Epoch(train) [9][30/63] lr: 6.9580e-03 eta: 1 day, 23:49:22 time: 0.8637 data_time: 0.0887 memory: 14973 loss_prob: 1.8564 loss_thr: 0.7843 loss_db: 0.3050 loss: 2.9456 08/28 13:57:14 - mmengine - INFO - Epoch(train) [9][35/63] lr: 6.9580e-03 eta: 1 day, 23:49:22 time: 0.8377 data_time: 0.0608 memory: 14973 loss_prob: 2.0299 loss_thr: 0.8267 loss_db: 0.3375 loss: 3.1940 08/28 13:57:19 - mmengine - INFO - Epoch(train) [9][40/63] lr: 6.9580e-03 eta: 1 day, 23:16:48 time: 0.8937 data_time: 0.1036 memory: 14973 loss_prob: 2.0133 loss_thr: 0.8192 loss_db: 0.3398 loss: 3.1723 08/28 13:57:23 - mmengine - INFO - Epoch(train) [9][45/63] lr: 6.9580e-03 eta: 1 day, 23:16:48 time: 0.8296 data_time: 0.0993 memory: 14973 loss_prob: 1.8000 loss_thr: 0.7523 loss_db: 0.3073 loss: 2.8596 08/28 13:57:27 - mmengine - INFO - Epoch(train) [9][50/63] lr: 6.9580e-03 eta: 1 day, 22:42:48 time: 0.7789 data_time: 0.0589 memory: 14973 loss_prob: 1.6972 loss_thr: 0.7492 loss_db: 0.2800 loss: 2.7264 08/28 13:57:31 - mmengine - INFO - Epoch(train) [9][55/63] lr: 6.9580e-03 eta: 1 day, 22:42:48 time: 0.8166 data_time: 0.0960 memory: 14973 loss_prob: 1.8013 loss_thr: 0.7610 loss_db: 0.2909 loss: 2.8532 08/28 13:57:35 - mmengine - INFO - Epoch(train) [9][60/63] lr: 6.9580e-03 eta: 1 day, 22:10:48 time: 0.8140 data_time: 0.0858 memory: 14973 loss_prob: 1.7769 loss_thr: 0.7540 loss_db: 0.2881 loss: 2.8190 08/28 13:57:37 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:57:42 - mmengine - INFO - Epoch(train) [10][5/63] lr: 6.9527e-03 eta: 1 day, 22:10:48 time: 0.8750 data_time: 0.1874 memory: 14973 loss_prob: 1.6984 loss_thr: 0.7570 loss_db: 0.2734 loss: 2.7288 08/28 13:57:47 - mmengine - INFO - Epoch(train) [10][10/63] lr: 6.9527e-03 eta: 1 day, 21:29:20 time: 0.9888 data_time: 0.2500 memory: 14973 loss_prob: 1.7278 loss_thr: 0.7496 loss_db: 0.2818 loss: 2.7591 08/28 13:57:51 - mmengine - INFO - Epoch(train) [10][15/63] lr: 6.9527e-03 eta: 1 day, 21:29:20 time: 0.8828 data_time: 0.1447 memory: 14973 loss_prob: 1.7201 loss_thr: 0.7217 loss_db: 0.2880 loss: 2.7298 08/28 13:57:57 - mmengine - INFO - Epoch(train) [10][20/63] lr: 6.9527e-03 eta: 1 day, 21:03:08 time: 0.9697 data_time: 0.0869 memory: 14973 loss_prob: 1.9439 loss_thr: 0.7464 loss_db: 0.3310 loss: 3.0213 08/28 13:58:01 - mmengine - INFO - Epoch(train) [10][25/63] lr: 6.9527e-03 eta: 1 day, 21:03:08 time: 1.0417 data_time: 0.1301 memory: 14973 loss_prob: 1.9587 loss_thr: 0.7658 loss_db: 0.3269 loss: 3.0514 08/28 13:58:05 - mmengine - INFO - Epoch(train) [10][30/63] lr: 6.9527e-03 eta: 1 day, 20:35:50 time: 0.8759 data_time: 0.1297 memory: 14973 loss_prob: 1.8311 loss_thr: 0.7497 loss_db: 0.3067 loss: 2.8875 08/28 13:58:10 - mmengine - INFO - Epoch(train) [10][35/63] lr: 6.9527e-03 eta: 1 day, 20:35:50 time: 0.8312 data_time: 0.0757 memory: 14973 loss_prob: 1.8519 loss_thr: 0.7550 loss_db: 0.3143 loss: 2.9212 08/28 13:58:15 - mmengine - INFO - Epoch(train) [10][40/63] lr: 6.9527e-03 eta: 1 day, 20:10:54 time: 0.9473 data_time: 0.1115 memory: 14973 loss_prob: 1.8466 loss_thr: 0.7658 loss_db: 0.3125 loss: 2.9249 08/28 13:58:20 - mmengine - INFO - Epoch(train) [10][45/63] lr: 6.9527e-03 eta: 1 day, 20:10:54 time: 0.9990 data_time: 0.1068 memory: 14973 loss_prob: 1.8207 loss_thr: 0.7779 loss_db: 0.3208 loss: 2.9194 08/28 13:58:24 - mmengine - INFO - Epoch(train) [10][50/63] lr: 6.9527e-03 eta: 1 day, 19:45:37 time: 0.8899 data_time: 0.0609 memory: 14973 loss_prob: 1.7962 loss_thr: 0.7621 loss_db: 0.3077 loss: 2.8660 08/28 13:58:29 - mmengine - INFO - Epoch(train) [10][55/63] lr: 6.9527e-03 eta: 1 day, 19:45:37 time: 0.9303 data_time: 0.0729 memory: 14973 loss_prob: 1.6776 loss_thr: 0.7067 loss_db: 0.2730 loss: 2.6573 08/28 13:58:33 - mmengine - INFO - Epoch(train) [10][60/63] lr: 6.9527e-03 eta: 1 day, 19:21:40 time: 0.9168 data_time: 0.0783 memory: 14973 loss_prob: 1.6719 loss_thr: 0.7331 loss_db: 0.2756 loss: 2.6805 08/28 13:58:35 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:58:40 - mmengine - INFO - Epoch(train) [11][5/63] lr: 6.9474e-03 eta: 1 day, 19:21:40 time: 0.8755 data_time: 0.1810 memory: 14973 loss_prob: 1.7980 loss_thr: 0.7492 loss_db: 0.2976 loss: 2.8448 08/28 13:58:44 - mmengine - INFO - Epoch(train) [11][10/63] lr: 6.9474e-03 eta: 1 day, 18:46:44 time: 0.9399 data_time: 0.1991 memory: 14973 loss_prob: 1.6764 loss_thr: 0.7290 loss_db: 0.2751 loss: 2.6805 08/28 13:58:48 - mmengine - INFO - Epoch(train) [11][15/63] lr: 6.9474e-03 eta: 1 day, 18:46:44 time: 0.8136 data_time: 0.0648 memory: 14973 loss_prob: 1.5925 loss_thr: 0.7288 loss_db: 0.2581 loss: 2.5794 08/28 13:58:52 - mmengine - INFO - Epoch(train) [11][20/63] lr: 6.9474e-03 eta: 1 day, 18:21:55 time: 0.7809 data_time: 0.0469 memory: 14973 loss_prob: 1.6615 loss_thr: 0.7197 loss_db: 0.2666 loss: 2.6477 08/28 13:58:56 - mmengine - INFO - Epoch(train) [11][25/63] lr: 6.9474e-03 eta: 1 day, 18:21:55 time: 0.8111 data_time: 0.1089 memory: 14973 loss_prob: 1.6848 loss_thr: 0.7343 loss_db: 0.2744 loss: 2.6935 08/28 13:59:00 - mmengine - INFO - Epoch(train) [11][30/63] lr: 6.9474e-03 eta: 1 day, 17:58:54 time: 0.8370 data_time: 0.1275 memory: 14973 loss_prob: 1.8496 loss_thr: 0.7773 loss_db: 0.3070 loss: 2.9339 08/28 13:59:04 - mmengine - INFO - Epoch(train) [11][35/63] lr: 6.9474e-03 eta: 1 day, 17:58:54 time: 0.7884 data_time: 0.0770 memory: 14973 loss_prob: 1.9304 loss_thr: 0.7624 loss_db: 0.3184 loss: 3.0112 08/28 13:59:09 - mmengine - INFO - Epoch(train) [11][40/63] lr: 6.9474e-03 eta: 1 day, 17:37:17 time: 0.8746 data_time: 0.1190 memory: 14973 loss_prob: 1.8232 loss_thr: 0.7413 loss_db: 0.3011 loss: 2.8656 08/28 13:59:15 - mmengine - INFO - Epoch(train) [11][45/63] lr: 6.9474e-03 eta: 1 day, 17:37:17 time: 1.0312 data_time: 0.1347 memory: 14973 loss_prob: 1.7026 loss_thr: 0.7367 loss_db: 0.2780 loss: 2.7172 08/28 13:59:19 - mmengine - INFO - Epoch(train) [11][50/63] lr: 6.9474e-03 eta: 1 day, 17:18:03 time: 0.9709 data_time: 0.1280 memory: 14973 loss_prob: 1.8096 loss_thr: 0.7548 loss_db: 0.3002 loss: 2.8646 08/28 13:59:23 - mmengine - INFO - Epoch(train) [11][55/63] lr: 6.9474e-03 eta: 1 day, 17:18:03 time: 0.8066 data_time: 0.1077 memory: 14973 loss_prob: 1.8825 loss_thr: 0.7790 loss_db: 0.3181 loss: 2.9795 08/28 13:59:27 - mmengine - INFO - Epoch(train) [11][60/63] lr: 6.9474e-03 eta: 1 day, 16:56:53 time: 0.8327 data_time: 0.0725 memory: 14973 loss_prob: 1.6757 loss_thr: 0.7395 loss_db: 0.2756 loss: 2.6908 08/28 13:59:30 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 13:59:36 - mmengine - INFO - Epoch(train) [12][5/63] lr: 6.9422e-03 eta: 1 day, 16:56:53 time: 1.0457 data_time: 0.2252 memory: 14973 loss_prob: 1.7212 loss_thr: 0.7364 loss_db: 0.2859 loss: 2.7436 08/28 13:59:40 - mmengine - INFO - Epoch(train) [12][10/63] lr: 6.9422e-03 eta: 1 day, 16:27:46 time: 0.9425 data_time: 0.2013 memory: 14973 loss_prob: 1.5527 loss_thr: 0.7094 loss_db: 0.2529 loss: 2.5150 08/28 13:59:44 - mmengine - INFO - Epoch(train) [12][15/63] lr: 6.9422e-03 eta: 1 day, 16:27:46 time: 0.8308 data_time: 0.0735 memory: 14973 loss_prob: 1.4101 loss_thr: 0.6873 loss_db: 0.2261 loss: 2.3235 08/28 13:59:48 - mmengine - INFO - Epoch(train) [12][20/63] lr: 6.9422e-03 eta: 1 day, 16:08:03 time: 0.8368 data_time: 0.0700 memory: 14973 loss_prob: 1.5226 loss_thr: 0.6996 loss_db: 0.2475 loss: 2.4696 08/28 13:59:52 - mmengine - INFO - Epoch(train) [12][25/63] lr: 6.9422e-03 eta: 1 day, 16:08:03 time: 0.8092 data_time: 0.0683 memory: 14973 loss_prob: 1.7678 loss_thr: 0.7232 loss_db: 0.2896 loss: 2.7806 08/28 13:59:56 - mmengine - INFO - Epoch(train) [12][30/63] lr: 6.9422e-03 eta: 1 day, 15:48:16 time: 0.8025 data_time: 0.1010 memory: 14973 loss_prob: 1.9041 loss_thr: 0.7394 loss_db: 0.3098 loss: 2.9533 08/28 14:00:00 - mmengine - INFO - Epoch(train) [12][35/63] lr: 6.9422e-03 eta: 1 day, 15:48:16 time: 0.8130 data_time: 0.0855 memory: 14973 loss_prob: 1.8432 loss_thr: 0.7505 loss_db: 0.2968 loss: 2.8905 08/28 14:00:04 - mmengine - INFO - Epoch(train) [12][40/63] lr: 6.9422e-03 eta: 1 day, 15:28:54 time: 0.7950 data_time: 0.0440 memory: 14973 loss_prob: 1.7380 loss_thr: 0.7430 loss_db: 0.2799 loss: 2.7609 08/28 14:00:09 - mmengine - INFO - Epoch(train) [12][45/63] lr: 6.9422e-03 eta: 1 day, 15:28:54 time: 0.8473 data_time: 0.1197 memory: 14973 loss_prob: 1.6518 loss_thr: 0.7140 loss_db: 0.2611 loss: 2.6269 08/28 14:00:13 - mmengine - INFO - Epoch(train) [12][50/63] lr: 6.9422e-03 eta: 1 day, 15:10:49 time: 0.8400 data_time: 0.1407 memory: 14973 loss_prob: 1.6443 loss_thr: 0.6958 loss_db: 0.2578 loss: 2.5979 08/28 14:00:17 - mmengine - INFO - Epoch(train) [12][55/63] lr: 6.9422e-03 eta: 1 day, 15:10:49 time: 0.7811 data_time: 0.0728 memory: 14973 loss_prob: 1.6721 loss_thr: 0.7321 loss_db: 0.2734 loss: 2.6777 08/28 14:00:21 - mmengine - INFO - Epoch(train) [12][60/63] lr: 6.9422e-03 eta: 1 day, 14:53:13 time: 0.8411 data_time: 0.1071 memory: 14973 loss_prob: 1.7458 loss_thr: 0.7647 loss_db: 0.2943 loss: 2.8048 08/28 14:00:23 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:00:29 - mmengine - INFO - Epoch(train) [13][5/63] lr: 6.9369e-03 eta: 1 day, 14:53:13 time: 0.9405 data_time: 0.2116 memory: 14973 loss_prob: 1.6666 loss_thr: 0.7378 loss_db: 0.2712 loss: 2.6756 08/28 14:00:34 - mmengine - INFO - Epoch(train) [13][10/63] lr: 6.9369e-03 eta: 1 day, 14:29:53 time: 1.0226 data_time: 0.2781 memory: 14973 loss_prob: 1.6341 loss_thr: 0.7449 loss_db: 0.2660 loss: 2.6450 08/28 14:00:38 - mmengine - INFO - Epoch(train) [13][15/63] lr: 6.9369e-03 eta: 1 day, 14:29:53 time: 0.9185 data_time: 0.1289 memory: 14973 loss_prob: 1.8282 loss_thr: 0.7479 loss_db: 0.2973 loss: 2.8734 08/28 14:00:43 - mmengine - INFO - Epoch(train) [13][20/63] lr: 6.9369e-03 eta: 1 day, 14:14:25 time: 0.9087 data_time: 0.0693 memory: 14973 loss_prob: 1.9941 loss_thr: 0.7861 loss_db: 0.3275 loss: 3.1076 08/28 14:00:47 - mmengine - INFO - Epoch(train) [13][25/63] lr: 6.9369e-03 eta: 1 day, 14:14:25 time: 0.9221 data_time: 0.0933 memory: 14973 loss_prob: 1.9229 loss_thr: 0.7860 loss_db: 0.3191 loss: 3.0280 08/28 14:00:51 - mmengine - INFO - Epoch(train) [13][30/63] lr: 6.9369e-03 eta: 1 day, 13:58:32 time: 0.8580 data_time: 0.0841 memory: 14973 loss_prob: 1.8192 loss_thr: 0.7506 loss_db: 0.2998 loss: 2.8697 08/28 14:00:56 - mmengine - INFO - Epoch(train) [13][35/63] lr: 6.9369e-03 eta: 1 day, 13:58:32 time: 0.8357 data_time: 0.0583 memory: 14973 loss_prob: 1.8394 loss_thr: 0.7457 loss_db: 0.3088 loss: 2.8939 08/28 14:01:00 - mmengine - INFO - Epoch(train) [13][40/63] lr: 6.9369e-03 eta: 1 day, 13:43:25 time: 0.8825 data_time: 0.1039 memory: 14973 loss_prob: 1.7800 loss_thr: 0.7374 loss_db: 0.2928 loss: 2.8102 08/28 14:01:04 - mmengine - INFO - Epoch(train) [13][45/63] lr: 6.9369e-03 eta: 1 day, 13:43:25 time: 0.8070 data_time: 0.1007 memory: 14973 loss_prob: 1.7866 loss_thr: 0.7407 loss_db: 0.2925 loss: 2.8198 08/28 14:01:08 - mmengine - INFO - Epoch(train) [13][50/63] lr: 6.9369e-03 eta: 1 day, 13:28:03 time: 0.8414 data_time: 0.0608 memory: 14973 loss_prob: 1.9274 loss_thr: 0.7674 loss_db: 0.3243 loss: 3.0190 08/28 14:01:13 - mmengine - INFO - Epoch(train) [13][55/63] lr: 6.9369e-03 eta: 1 day, 13:28:03 time: 0.8797 data_time: 0.0922 memory: 14973 loss_prob: 1.8589 loss_thr: 0.7777 loss_db: 0.3103 loss: 2.9469 08/28 14:01:16 - mmengine - INFO - Epoch(train) [13][60/63] lr: 6.9369e-03 eta: 1 day, 13:12:22 time: 0.7963 data_time: 0.0775 memory: 14973 loss_prob: 1.7157 loss_thr: 0.7599 loss_db: 0.2830 loss: 2.7586 08/28 14:01:19 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:01:24 - mmengine - INFO - Epoch(train) [14][5/63] lr: 6.9317e-03 eta: 1 day, 13:12:22 time: 0.8778 data_time: 0.1823 memory: 14973 loss_prob: 1.6685 loss_thr: 0.7434 loss_db: 0.2813 loss: 2.6931 08/28 14:01:28 - mmengine - INFO - Epoch(train) [14][10/63] lr: 6.9317e-03 eta: 1 day, 12:51:33 time: 0.9695 data_time: 0.2413 memory: 14973 loss_prob: 1.8923 loss_thr: 0.7513 loss_db: 0.3176 loss: 2.9612 08/28 14:01:32 - mmengine - INFO - Epoch(train) [14][15/63] lr: 6.9317e-03 eta: 1 day, 12:51:33 time: 0.8359 data_time: 0.1295 memory: 14973 loss_prob: 1.8542 loss_thr: 0.7242 loss_db: 0.3025 loss: 2.8808 08/28 14:01:36 - mmengine - INFO - Epoch(train) [14][20/63] lr: 6.9317e-03 eta: 1 day, 12:36:31 time: 0.7815 data_time: 0.0694 memory: 14973 loss_prob: 1.8283 loss_thr: 0.7128 loss_db: 0.3070 loss: 2.8481 08/28 14:01:41 - mmengine - INFO - Epoch(train) [14][25/63] lr: 6.9317e-03 eta: 1 day, 12:36:31 time: 0.9338 data_time: 0.1276 memory: 14973 loss_prob: 1.8684 loss_thr: 0.7192 loss_db: 0.3249 loss: 2.9125 08/28 14:01:46 - mmengine - INFO - Epoch(train) [14][30/63] lr: 6.9317e-03 eta: 1 day, 12:25:08 time: 1.0070 data_time: 0.1190 memory: 14973 loss_prob: 1.7885 loss_thr: 0.7311 loss_db: 0.3041 loss: 2.8236 08/28 14:01:51 - mmengine - INFO - Epoch(train) [14][35/63] lr: 6.9317e-03 eta: 1 day, 12:25:08 time: 0.9022 data_time: 0.1102 memory: 14973 loss_prob: 1.7942 loss_thr: 0.7341 loss_db: 0.2992 loss: 2.8274 08/28 14:01:54 - mmengine - INFO - Epoch(train) [14][40/63] lr: 6.9317e-03 eta: 1 day, 12:11:29 time: 0.8334 data_time: 0.1207 memory: 14973 loss_prob: 1.8567 loss_thr: 0.7362 loss_db: 0.3090 loss: 2.9019 08/28 14:01:59 - mmengine - INFO - Epoch(train) [14][45/63] lr: 6.9317e-03 eta: 1 day, 12:11:29 time: 0.8429 data_time: 0.0729 memory: 14973 loss_prob: 1.7713 loss_thr: 0.7414 loss_db: 0.2970 loss: 2.8097 08/28 14:02:04 - mmengine - INFO - Epoch(train) [14][50/63] lr: 6.9317e-03 eta: 1 day, 11:59:34 time: 0.9324 data_time: 0.1015 memory: 14973 loss_prob: 1.7688 loss_thr: 0.7612 loss_db: 0.2950 loss: 2.8250 08/28 14:02:08 - mmengine - INFO - Epoch(train) [14][55/63] lr: 6.9317e-03 eta: 1 day, 11:59:34 time: 0.9221 data_time: 0.0902 memory: 14973 loss_prob: 1.7335 loss_thr: 0.7280 loss_db: 0.2831 loss: 2.7446 08/28 14:02:12 - mmengine - INFO - Epoch(train) [14][60/63] lr: 6.9317e-03 eta: 1 day, 11:46:20 time: 0.8204 data_time: 0.0521 memory: 14973 loss_prob: 1.7092 loss_thr: 0.7139 loss_db: 0.2892 loss: 2.7124 08/28 14:02:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:02:20 - mmengine - INFO - Epoch(train) [15][5/63] lr: 6.9264e-03 eta: 1 day, 11:46:20 time: 0.9519 data_time: 0.1897 memory: 14973 loss_prob: 1.7167 loss_thr: 0.7065 loss_db: 0.2988 loss: 2.7221 08/28 14:02:24 - mmengine - INFO - Epoch(train) [15][10/63] lr: 6.9264e-03 eta: 1 day, 11:27:11 time: 0.8945 data_time: 0.1989 memory: 14973 loss_prob: 1.7965 loss_thr: 0.7127 loss_db: 0.3227 loss: 2.8319 08/28 14:02:29 - mmengine - INFO - Epoch(train) [15][15/63] lr: 6.9264e-03 eta: 1 day, 11:27:11 time: 0.8521 data_time: 0.1172 memory: 14973 loss_prob: 1.6993 loss_thr: 0.7194 loss_db: 0.2842 loss: 2.7029 08/28 14:02:32 - mmengine - INFO - Epoch(train) [15][20/63] lr: 6.9264e-03 eta: 1 day, 11:14:39 time: 0.8215 data_time: 0.0857 memory: 14973 loss_prob: 1.8477 loss_thr: 0.7737 loss_db: 0.3090 loss: 2.9304 08/28 14:02:36 - mmengine - INFO - Epoch(train) [15][25/63] lr: 6.9264e-03 eta: 1 day, 11:14:39 time: 0.7499 data_time: 0.0424 memory: 14973 loss_prob: 1.8314 loss_thr: 0.7784 loss_db: 0.3126 loss: 2.9224 08/28 14:02:41 - mmengine - INFO - Epoch(train) [15][30/63] lr: 6.9264e-03 eta: 1 day, 11:02:39 time: 0.8395 data_time: 0.0660 memory: 14973 loss_prob: 1.6648 loss_thr: 0.7358 loss_db: 0.2804 loss: 2.6810 08/28 14:02:45 - mmengine - INFO - Epoch(train) [15][35/63] lr: 6.9264e-03 eta: 1 day, 11:02:39 time: 0.8493 data_time: 0.0762 memory: 14973 loss_prob: 1.7021 loss_thr: 0.7289 loss_db: 0.2817 loss: 2.7127 08/28 14:02:49 - mmengine - INFO - Epoch(train) [15][40/63] lr: 6.9264e-03 eta: 1 day, 10:50:15 time: 0.7921 data_time: 0.0690 memory: 14973 loss_prob: 1.6024 loss_thr: 0.7058 loss_db: 0.2612 loss: 2.5694 08/28 14:02:53 - mmengine - INFO - Epoch(train) [15][45/63] lr: 6.9264e-03 eta: 1 day, 10:50:15 time: 0.8479 data_time: 0.1234 memory: 14973 loss_prob: 1.5309 loss_thr: 0.6866 loss_db: 0.2506 loss: 2.4681 08/28 14:02:57 - mmengine - INFO - Epoch(train) [15][50/63] lr: 6.9264e-03 eta: 1 day, 10:38:54 time: 0.8503 data_time: 0.1234 memory: 14973 loss_prob: 1.5921 loss_thr: 0.7085 loss_db: 0.2645 loss: 2.5651 08/28 14:03:02 - mmengine - INFO - Epoch(train) [15][55/63] lr: 6.9264e-03 eta: 1 day, 10:38:54 time: 0.8624 data_time: 0.0691 memory: 14973 loss_prob: 1.6769 loss_thr: 0.7517 loss_db: 0.2780 loss: 2.7065 08/28 14:03:06 - mmengine - INFO - Epoch(train) [15][60/63] lr: 6.9264e-03 eta: 1 day, 10:28:59 time: 0.9404 data_time: 0.1509 memory: 14973 loss_prob: 1.7047 loss_thr: 0.7470 loss_db: 0.2801 loss: 2.7318 08/28 14:03:08 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:03:14 - mmengine - INFO - Epoch(train) [16][5/63] lr: 6.9211e-03 eta: 1 day, 10:28:59 time: 0.8595 data_time: 0.1821 memory: 14973 loss_prob: 1.7603 loss_thr: 0.7303 loss_db: 0.2923 loss: 2.7829 08/28 14:03:18 - mmengine - INFO - Epoch(train) [16][10/63] lr: 6.9211e-03 eta: 1 day, 10:13:17 time: 0.9846 data_time: 0.2527 memory: 14973 loss_prob: 1.6699 loss_thr: 0.7391 loss_db: 0.2721 loss: 2.6811 08/28 14:03:23 - mmengine - INFO - Epoch(train) [16][15/63] lr: 6.9211e-03 eta: 1 day, 10:13:17 time: 0.8977 data_time: 0.1191 memory: 14973 loss_prob: 1.7459 loss_thr: 0.7293 loss_db: 0.2817 loss: 2.7569 08/28 14:03:27 - mmengine - INFO - Epoch(train) [16][20/63] lr: 6.9211e-03 eta: 1 day, 10:02:51 time: 0.8617 data_time: 0.0465 memory: 14973 loss_prob: 1.8150 loss_thr: 0.7368 loss_db: 0.3060 loss: 2.8578 08/28 14:03:31 - mmengine - INFO - Epoch(train) [16][25/63] lr: 6.9211e-03 eta: 1 day, 10:02:51 time: 0.8814 data_time: 0.0962 memory: 14973 loss_prob: 1.8888 loss_thr: 0.7674 loss_db: 0.3194 loss: 2.9756 08/28 14:03:35 - mmengine - INFO - Epoch(train) [16][30/63] lr: 6.9211e-03 eta: 1 day, 9:52:14 time: 0.8326 data_time: 0.0835 memory: 14973 loss_prob: 1.6345 loss_thr: 0.7248 loss_db: 0.2650 loss: 2.6242 08/28 14:03:39 - mmengine - INFO - Epoch(train) [16][35/63] lr: 6.9211e-03 eta: 1 day, 9:52:14 time: 0.7589 data_time: 0.0463 memory: 14973 loss_prob: 1.4933 loss_thr: 0.7013 loss_db: 0.2449 loss: 2.4395 08/28 14:03:44 - mmengine - INFO - Epoch(train) [16][40/63] lr: 6.9211e-03 eta: 1 day, 9:42:16 time: 0.8655 data_time: 0.1123 memory: 14973 loss_prob: 1.5827 loss_thr: 0.7189 loss_db: 0.2608 loss: 2.5624 08/28 14:03:48 - mmengine - INFO - Epoch(train) [16][45/63] lr: 6.9211e-03 eta: 1 day, 9:42:16 time: 0.9052 data_time: 0.1110 memory: 14973 loss_prob: 1.6640 loss_thr: 0.7355 loss_db: 0.2733 loss: 2.6728 08/28 14:03:52 - mmengine - INFO - Epoch(train) [16][50/63] lr: 6.9211e-03 eta: 1 day, 9:31:33 time: 0.7902 data_time: 0.0516 memory: 14973 loss_prob: 1.6367 loss_thr: 0.7319 loss_db: 0.2648 loss: 2.6334 08/28 14:03:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:03:56 - mmengine - INFO - Epoch(train) [16][55/63] lr: 6.9211e-03 eta: 1 day, 9:31:33 time: 0.7729 data_time: 0.0605 memory: 14973 loss_prob: 1.6328 loss_thr: 0.7027 loss_db: 0.2662 loss: 2.6017 08/28 14:04:00 - mmengine - INFO - Epoch(train) [16][60/63] lr: 6.9211e-03 eta: 1 day, 9:21:24 time: 0.8187 data_time: 0.0837 memory: 14973 loss_prob: 1.7601 loss_thr: 0.7274 loss_db: 0.2917 loss: 2.7792 08/28 14:04:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:04:07 - mmengine - INFO - Epoch(train) [17][5/63] lr: 6.9159e-03 eta: 1 day, 9:21:24 time: 0.8378 data_time: 0.1828 memory: 14973 loss_prob: 1.7732 loss_thr: 0.7640 loss_db: 0.2978 loss: 2.8350 08/28 14:04:11 - mmengine - INFO - Epoch(train) [17][10/63] lr: 6.9159e-03 eta: 1 day, 9:06:58 time: 0.9391 data_time: 0.2421 memory: 14973 loss_prob: 1.5826 loss_thr: 0.7201 loss_db: 0.2627 loss: 2.5654 08/28 14:04:17 - mmengine - INFO - Epoch(train) [17][15/63] lr: 6.9159e-03 eta: 1 day, 9:06:58 time: 0.9472 data_time: 0.1161 memory: 14973 loss_prob: 1.7613 loss_thr: 0.7293 loss_db: 0.2923 loss: 2.7829 08/28 14:04:21 - mmengine - INFO - Epoch(train) [17][20/63] lr: 6.9159e-03 eta: 1 day, 8:58:55 time: 0.9556 data_time: 0.0678 memory: 14973 loss_prob: 1.8520 loss_thr: 0.7599 loss_db: 0.3104 loss: 2.9223 08/28 14:04:26 - mmengine - INFO - Epoch(train) [17][25/63] lr: 6.9159e-03 eta: 1 day, 8:58:55 time: 0.9003 data_time: 0.1358 memory: 14973 loss_prob: 1.6482 loss_thr: 0.7221 loss_db: 0.2676 loss: 2.6378 08/28 14:04:30 - mmengine - INFO - Epoch(train) [17][30/63] lr: 6.9159e-03 eta: 1 day, 8:50:11 time: 0.8848 data_time: 0.1267 memory: 14973 loss_prob: 1.6145 loss_thr: 0.7081 loss_db: 0.2580 loss: 2.5806 08/28 14:04:34 - mmengine - INFO - Epoch(train) [17][35/63] lr: 6.9159e-03 eta: 1 day, 8:50:11 time: 0.8636 data_time: 0.0700 memory: 14973 loss_prob: 1.7131 loss_thr: 0.7375 loss_db: 0.2791 loss: 2.7296 08/28 14:04:39 - mmengine - INFO - Epoch(train) [17][40/63] lr: 6.9159e-03 eta: 1 day, 8:42:00 time: 0.9177 data_time: 0.0986 memory: 14973 loss_prob: 1.7246 loss_thr: 0.7374 loss_db: 0.2847 loss: 2.7467 08/28 14:04:43 - mmengine - INFO - Epoch(train) [17][45/63] lr: 6.9159e-03 eta: 1 day, 8:42:00 time: 0.8739 data_time: 0.0890 memory: 14973 loss_prob: 1.8432 loss_thr: 0.7507 loss_db: 0.3041 loss: 2.8980 08/28 14:04:47 - mmengine - INFO - Epoch(train) [17][50/63] lr: 6.9159e-03 eta: 1 day, 8:32:55 time: 0.8277 data_time: 0.0535 memory: 14973 loss_prob: 1.7143 loss_thr: 0.7390 loss_db: 0.2770 loss: 2.7302 08/28 14:04:52 - mmengine - INFO - Epoch(train) [17][55/63] lr: 6.9159e-03 eta: 1 day, 8:32:55 time: 0.8752 data_time: 0.1067 memory: 14973 loss_prob: 1.4487 loss_thr: 0.6856 loss_db: 0.2278 loss: 2.3622 08/28 14:04:56 - mmengine - INFO - Epoch(train) [17][60/63] lr: 6.9159e-03 eta: 1 day, 8:23:58 time: 0.8244 data_time: 0.1174 memory: 14973 loss_prob: 1.4729 loss_thr: 0.6633 loss_db: 0.2338 loss: 2.3699 08/28 14:04:58 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:05:03 - mmengine - INFO - Epoch(train) [18][5/63] lr: 6.9106e-03 eta: 1 day, 8:23:58 time: 0.8840 data_time: 0.1793 memory: 14973 loss_prob: 1.5631 loss_thr: 0.6777 loss_db: 0.2617 loss: 2.5025 08/28 14:05:07 - mmengine - INFO - Epoch(train) [18][10/63] lr: 6.9106e-03 eta: 1 day, 8:10:57 time: 0.9319 data_time: 0.2054 memory: 14973 loss_prob: 1.5470 loss_thr: 0.6795 loss_db: 0.2509 loss: 2.4775 08/28 14:05:11 - mmengine - INFO - Epoch(train) [18][15/63] lr: 6.9106e-03 eta: 1 day, 8:10:57 time: 0.8129 data_time: 0.0638 memory: 14973 loss_prob: 1.6919 loss_thr: 0.7216 loss_db: 0.2787 loss: 2.6922 08/28 14:05:15 - mmengine - INFO - Epoch(train) [18][20/63] lr: 6.9106e-03 eta: 1 day, 8:02:06 time: 0.7996 data_time: 0.0539 memory: 14973 loss_prob: 1.9069 loss_thr: 0.7511 loss_db: 0.3204 loss: 2.9784 08/28 14:05:20 - mmengine - INFO - Epoch(train) [18][25/63] lr: 6.9106e-03 eta: 1 day, 8:02:06 time: 0.8426 data_time: 0.1359 memory: 14973 loss_prob: 1.8946 loss_thr: 0.7309 loss_db: 0.3087 loss: 2.9342 08/28 14:05:23 - mmengine - INFO - Epoch(train) [18][30/63] lr: 6.9106e-03 eta: 1 day, 7:53:45 time: 0.8294 data_time: 0.1306 memory: 14973 loss_prob: 1.8039 loss_thr: 0.7345 loss_db: 0.3010 loss: 2.8395 08/28 14:05:27 - mmengine - INFO - Epoch(train) [18][35/63] lr: 6.9106e-03 eta: 1 day, 7:53:45 time: 0.7790 data_time: 0.0654 memory: 14973 loss_prob: 1.8462 loss_thr: 0.7358 loss_db: 0.3101 loss: 2.8921 08/28 14:05:33 - mmengine - INFO - Epoch(train) [18][40/63] lr: 6.9106e-03 eta: 1 day, 7:47:12 time: 0.9793 data_time: 0.1218 memory: 14973 loss_prob: 1.7252 loss_thr: 0.7054 loss_db: 0.2821 loss: 2.7127 08/28 14:05:38 - mmengine - INFO - Epoch(train) [18][45/63] lr: 6.9106e-03 eta: 1 day, 7:47:12 time: 1.0503 data_time: 0.1270 memory: 14973 loss_prob: 1.5911 loss_thr: 0.6968 loss_db: 0.2553 loss: 2.5431 08/28 14:05:42 - mmengine - INFO - Epoch(train) [18][50/63] lr: 6.9106e-03 eta: 1 day, 7:40:03 time: 0.9129 data_time: 0.1334 memory: 14973 loss_prob: 1.7280 loss_thr: 0.7226 loss_db: 0.2856 loss: 2.7362 08/28 14:05:46 - mmengine - INFO - Epoch(train) [18][55/63] lr: 6.9106e-03 eta: 1 day, 7:40:03 time: 0.8262 data_time: 0.1235 memory: 14973 loss_prob: 1.8162 loss_thr: 0.7163 loss_db: 0.3040 loss: 2.8366 08/28 14:05:51 - mmengine - INFO - Epoch(train) [18][60/63] lr: 6.9106e-03 eta: 1 day, 7:32:40 time: 0.8807 data_time: 0.0581 memory: 14973 loss_prob: 1.8174 loss_thr: 0.7306 loss_db: 0.3049 loss: 2.8529 08/28 14:05:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:05:59 - mmengine - INFO - Epoch(train) [19][5/63] lr: 6.9054e-03 eta: 1 day, 7:32:40 time: 0.9136 data_time: 0.2126 memory: 14973 loss_prob: 1.7681 loss_thr: 0.7643 loss_db: 0.2971 loss: 2.8294 08/28 14:06:04 - mmengine - INFO - Epoch(train) [19][10/63] lr: 6.9054e-03 eta: 1 day, 7:21:21 time: 0.9706 data_time: 0.1676 memory: 14973 loss_prob: 1.7165 loss_thr: 0.7410 loss_db: 0.2713 loss: 2.7288 08/28 14:06:08 - mmengine - INFO - Epoch(train) [19][15/63] lr: 6.9054e-03 eta: 1 day, 7:21:21 time: 0.9346 data_time: 0.0957 memory: 14973 loss_prob: 1.6563 loss_thr: 0.7275 loss_db: 0.2619 loss: 2.6457 08/28 14:06:12 - mmengine - INFO - Epoch(train) [19][20/63] lr: 6.9054e-03 eta: 1 day, 7:14:00 time: 0.8554 data_time: 0.1033 memory: 14973 loss_prob: 1.6151 loss_thr: 0.7094 loss_db: 0.2573 loss: 2.5818 08/28 14:06:16 - mmengine - INFO - Epoch(train) [19][25/63] lr: 6.9054e-03 eta: 1 day, 7:14:00 time: 0.7757 data_time: 0.0558 memory: 14973 loss_prob: 1.6026 loss_thr: 0.7211 loss_db: 0.2512 loss: 2.5749 08/28 14:06:20 - mmengine - INFO - Epoch(train) [19][30/63] lr: 6.9054e-03 eta: 1 day, 7:06:13 time: 0.8041 data_time: 0.0724 memory: 14973 loss_prob: 1.8162 loss_thr: 0.7442 loss_db: 0.2944 loss: 2.8548 08/28 14:06:24 - mmengine - INFO - Epoch(train) [19][35/63] lr: 6.9054e-03 eta: 1 day, 7:06:13 time: 0.8039 data_time: 0.0668 memory: 14973 loss_prob: 1.7027 loss_thr: 0.7055 loss_db: 0.2797 loss: 2.6879 08/28 14:06:28 - mmengine - INFO - Epoch(train) [19][40/63] lr: 6.9054e-03 eta: 1 day, 6:58:17 time: 0.7774 data_time: 0.0516 memory: 14973 loss_prob: 1.4998 loss_thr: 0.6925 loss_db: 0.2467 loss: 2.4389 08/28 14:06:33 - mmengine - INFO - Epoch(train) [19][45/63] lr: 6.9054e-03 eta: 1 day, 6:58:17 time: 0.8709 data_time: 0.1306 memory: 14973 loss_prob: 1.6083 loss_thr: 0.7135 loss_db: 0.2650 loss: 2.5868 08/28 14:06:37 - mmengine - INFO - Epoch(train) [19][50/63] lr: 6.9054e-03 eta: 1 day, 6:51:28 time: 0.8710 data_time: 0.1367 memory: 14973 loss_prob: 1.6799 loss_thr: 0.6982 loss_db: 0.2765 loss: 2.6545 08/28 14:06:41 - mmengine - INFO - Epoch(train) [19][55/63] lr: 6.9054e-03 eta: 1 day, 6:51:28 time: 0.8375 data_time: 0.0636 memory: 14973 loss_prob: 1.8267 loss_thr: 0.7167 loss_db: 0.3081 loss: 2.8516 08/28 14:06:47 - mmengine - INFO - Epoch(train) [19][60/63] lr: 6.9054e-03 eta: 1 day, 6:46:03 time: 0.9947 data_time: 0.1241 memory: 14973 loss_prob: 1.7751 loss_thr: 0.7318 loss_db: 0.3026 loss: 2.8095 08/28 14:06:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:06:54 - mmengine - INFO - Epoch(train) [20][5/63] lr: 6.9001e-03 eta: 1 day, 6:46:03 time: 0.8946 data_time: 0.1842 memory: 14973 loss_prob: 1.7379 loss_thr: 0.7248 loss_db: 0.2824 loss: 2.7451 08/28 14:06:59 - mmengine - INFO - Epoch(train) [20][10/63] lr: 6.9001e-03 eta: 1 day, 6:35:45 time: 0.9638 data_time: 0.2559 memory: 14973 loss_prob: 1.7392 loss_thr: 0.7248 loss_db: 0.2828 loss: 2.7468 08/28 14:07:03 - mmengine - INFO - Epoch(train) [20][15/63] lr: 6.9001e-03 eta: 1 day, 6:35:45 time: 0.9005 data_time: 0.1322 memory: 14973 loss_prob: 1.5939 loss_thr: 0.7119 loss_db: 0.2554 loss: 2.5611 08/28 14:07:07 - mmengine - INFO - Epoch(train) [20][20/63] lr: 6.9001e-03 eta: 1 day, 6:29:26 time: 0.8854 data_time: 0.0560 memory: 14973 loss_prob: 1.4225 loss_thr: 0.6717 loss_db: 0.2304 loss: 2.3247 08/28 14:07:12 - mmengine - INFO - Epoch(train) [20][25/63] lr: 6.9001e-03 eta: 1 day, 6:29:26 time: 0.9155 data_time: 0.0936 memory: 14973 loss_prob: 1.5026 loss_thr: 0.6688 loss_db: 0.2476 loss: 2.4190 08/28 14:07:16 - mmengine - INFO - Epoch(train) [20][30/63] lr: 6.9001e-03 eta: 1 day, 6:23:00 time: 0.8628 data_time: 0.0869 memory: 14973 loss_prob: 1.5925 loss_thr: 0.6916 loss_db: 0.2567 loss: 2.5408 08/28 14:07:20 - mmengine - INFO - Epoch(train) [20][35/63] lr: 6.9001e-03 eta: 1 day, 6:23:00 time: 0.7660 data_time: 0.0436 memory: 14973 loss_prob: 1.6105 loss_thr: 0.7005 loss_db: 0.2631 loss: 2.5741 08/28 14:07:24 - mmengine - INFO - Epoch(train) [20][40/63] lr: 6.9001e-03 eta: 1 day, 6:16:14 time: 0.8193 data_time: 0.0994 memory: 14973 loss_prob: 1.5116 loss_thr: 0.7014 loss_db: 0.2453 loss: 2.4582 08/28 14:07:29 - mmengine - INFO - Epoch(train) [20][45/63] lr: 6.9001e-03 eta: 1 day, 6:16:14 time: 0.9099 data_time: 0.1101 memory: 14973 loss_prob: 1.4751 loss_thr: 0.6880 loss_db: 0.2406 loss: 2.4037 08/28 14:07:33 - mmengine - INFO - Epoch(train) [20][50/63] lr: 6.9001e-03 eta: 1 day, 6:09:56 time: 0.8562 data_time: 0.0623 memory: 14973 loss_prob: 1.5777 loss_thr: 0.6855 loss_db: 0.2678 loss: 2.5310 08/28 14:07:37 - mmengine - INFO - Epoch(train) [20][55/63] lr: 6.9001e-03 eta: 1 day, 6:09:56 time: 0.7820 data_time: 0.0678 memory: 14973 loss_prob: 1.5907 loss_thr: 0.6965 loss_db: 0.2662 loss: 2.5534 08/28 14:07:41 - mmengine - INFO - Epoch(train) [20][60/63] lr: 6.9001e-03 eta: 1 day, 6:02:59 time: 0.7813 data_time: 0.0625 memory: 14973 loss_prob: 1.5397 loss_thr: 0.6893 loss_db: 0.2515 loss: 2.4805 08/28 14:07:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:07:42 - mmengine - INFO - Saving checkpoint at 20 epochs 08/28 14:16:54 - mmengine - INFO - Epoch(val) [20][5/500] eta: 1 day, 6:02:59 time: 109.0017 data_time: 107.3498 memory: 34506 08/28 14:16:54 - mmengine - INFO - Epoch(val) [20][10/500] eta: 7:25:21 time: 54.5333 data_time: 53.6858 memory: 1021 08/28 14:16:54 - mmengine - INFO - Epoch(val) [20][15/500] eta: 7:25:21 time: 0.0548 data_time: 0.0119 memory: 1021 08/28 14:16:55 - mmengine - INFO - Epoch(val) [20][20/500] eta: 0:00:40 time: 0.0844 data_time: 0.0022 memory: 1021 08/28 14:16:55 - mmengine - INFO - Epoch(val) [20][25/500] eta: 0:00:40 time: 0.0857 data_time: 0.0022 memory: 1021 08/28 14:16:55 - mmengine - INFO - Epoch(val) [20][30/500] eta: 0:00:22 time: 0.0486 data_time: 0.0021 memory: 1021 08/28 14:16:56 - mmengine - INFO - Epoch(val) [20][35/500] eta: 0:00:22 time: 0.0469 data_time: 0.0020 memory: 1021 08/28 14:16:56 - mmengine - INFO - Epoch(val) [20][40/500] eta: 0:00:22 time: 0.0487 data_time: 0.0021 memory: 1021 08/28 14:16:56 - mmengine - INFO - Epoch(val) [20][45/500] eta: 0:00:22 time: 0.0515 data_time: 0.0022 memory: 1021 08/28 14:16:56 - mmengine - INFO - Epoch(val) [20][50/500] eta: 0:00:22 time: 0.0500 data_time: 0.0021 memory: 1021 08/28 14:16:57 - mmengine - INFO - Epoch(val) [20][55/500] eta: 0:00:22 time: 0.0488 data_time: 0.0022 memory: 1021 08/28 14:16:57 - mmengine - INFO - Epoch(val) [20][60/500] eta: 0:00:20 time: 0.0455 data_time: 0.0022 memory: 1021 08/28 14:16:57 - mmengine - INFO - Epoch(val) [20][65/500] eta: 0:00:20 time: 0.0459 data_time: 0.0021 memory: 1021 08/28 14:16:57 - mmengine - INFO - Epoch(val) [20][70/500] eta: 0:00:20 time: 0.0484 data_time: 0.0023 memory: 1021 08/28 14:16:57 - mmengine - INFO - Epoch(val) [20][75/500] eta: 0:00:20 time: 0.0477 data_time: 0.0023 memory: 1021 08/28 14:16:58 - mmengine - INFO - Epoch(val) [20][80/500] eta: 0:00:18 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 14:16:58 - mmengine - INFO - Epoch(val) [20][85/500] eta: 0:00:18 time: 0.0435 data_time: 0.0021 memory: 1021 08/28 14:16:58 - mmengine - INFO - Epoch(val) [20][90/500] eta: 0:00:21 time: 0.0524 data_time: 0.0044 memory: 1021 08/28 14:16:58 - mmengine - INFO - Epoch(val) [20][95/500] eta: 0:00:21 time: 0.0544 data_time: 0.0043 memory: 1021 08/28 14:16:59 - mmengine - INFO - Epoch(val) [20][100/500] eta: 0:00:18 time: 0.0460 data_time: 0.0021 memory: 1021 08/28 14:16:59 - mmengine - INFO - Epoch(val) [20][105/500] eta: 0:00:18 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 14:16:59 - mmengine - INFO - Epoch(val) [20][110/500] eta: 0:00:17 time: 0.0450 data_time: 0.0024 memory: 1021 08/28 14:16:59 - mmengine - INFO - Epoch(val) [20][115/500] eta: 0:00:17 time: 0.0457 data_time: 0.0023 memory: 1021 08/28 14:17:00 - mmengine - INFO - Epoch(val) [20][120/500] eta: 0:00:18 time: 0.0474 data_time: 0.0021 memory: 1021 08/28 14:17:00 - mmengine - INFO - Epoch(val) [20][125/500] eta: 0:00:18 time: 0.0462 data_time: 0.0022 memory: 1021 08/28 14:17:00 - mmengine - INFO - Epoch(val) [20][130/500] eta: 0:00:16 time: 0.0454 data_time: 0.0022 memory: 1021 08/28 14:17:00 - mmengine - INFO - Epoch(val) [20][135/500] eta: 0:00:16 time: 0.0452 data_time: 0.0022 memory: 1021 08/28 14:17:01 - mmengine - INFO - Epoch(val) [20][140/500] eta: 0:00:16 time: 0.0458 data_time: 0.0021 memory: 1021 08/28 14:17:01 - mmengine - INFO - Epoch(val) [20][145/500] eta: 0:00:16 time: 0.0506 data_time: 0.0022 memory: 1021 08/28 14:17:01 - mmengine - INFO - Epoch(val) [20][150/500] eta: 0:00:17 time: 0.0502 data_time: 0.0022 memory: 1021 08/28 14:17:01 - mmengine - INFO - Epoch(val) [20][155/500] eta: 0:00:17 time: 0.0493 data_time: 0.0021 memory: 1021 08/28 14:17:02 - mmengine - INFO - Epoch(val) [20][160/500] eta: 0:00:17 time: 0.0505 data_time: 0.0022 memory: 1021 08/28 14:17:02 - mmengine - INFO - Epoch(val) [20][165/500] eta: 0:00:17 time: 0.0492 data_time: 0.0022 memory: 1021 08/28 14:17:02 - mmengine - INFO - Epoch(val) [20][170/500] eta: 0:00:16 time: 0.0485 data_time: 0.0021 memory: 1021 08/28 14:17:02 - mmengine - INFO - Epoch(val) [20][175/500] eta: 0:00:16 time: 0.0454 data_time: 0.0021 memory: 1021 08/28 14:17:02 - mmengine - INFO - Epoch(val) [20][180/500] eta: 0:00:15 time: 0.0476 data_time: 0.0022 memory: 1021 08/28 14:17:03 - mmengine - INFO - Epoch(val) [20][185/500] eta: 0:00:15 time: 0.0541 data_time: 0.0023 memory: 1021 08/28 14:17:03 - mmengine - INFO - Epoch(val) [20][190/500] eta: 0:00:17 time: 0.0557 data_time: 0.0022 memory: 1021 08/28 14:17:03 - mmengine - INFO - Epoch(val) [20][195/500] eta: 0:00:17 time: 0.0506 data_time: 0.0022 memory: 1021 08/28 14:17:04 - mmengine - INFO - Epoch(val) [20][200/500] eta: 0:00:15 time: 0.0518 data_time: 0.0022 memory: 1021 08/28 14:17:04 - mmengine - INFO - Epoch(val) [20][205/500] eta: 0:00:15 time: 0.0537 data_time: 0.0023 memory: 1021 08/28 14:17:04 - mmengine - INFO - Epoch(val) [20][210/500] eta: 0:00:15 time: 0.0522 data_time: 0.0025 memory: 1021 08/28 14:17:04 - mmengine - INFO - Epoch(val) [20][215/500] eta: 0:00:15 time: 0.0540 data_time: 0.0025 memory: 1021 08/28 14:17:05 - mmengine - INFO - Epoch(val) [20][220/500] eta: 0:00:15 time: 0.0554 data_time: 0.0025 memory: 1021 08/28 14:17:05 - mmengine - INFO - Epoch(val) [20][225/500] eta: 0:00:15 time: 0.0571 data_time: 0.0026 memory: 1021 08/28 14:17:05 - mmengine - INFO - Epoch(val) [20][230/500] eta: 0:00:14 time: 0.0535 data_time: 0.0026 memory: 1021 08/28 14:17:05 - mmengine - INFO - Epoch(val) [20][235/500] eta: 0:00:14 time: 0.0541 data_time: 0.0027 memory: 1021 08/28 14:17:06 - mmengine - INFO - Epoch(val) [20][240/500] eta: 0:00:14 time: 0.0555 data_time: 0.0026 memory: 1021 08/28 14:17:06 - mmengine - INFO - Epoch(val) [20][245/500] eta: 0:00:14 time: 0.0523 data_time: 0.0024 memory: 1021 08/28 14:17:06 - mmengine - INFO - Epoch(val) [20][250/500] eta: 0:00:13 time: 0.0526 data_time: 0.0024 memory: 1021 08/28 14:17:06 - mmengine - INFO - Epoch(val) [20][255/500] eta: 0:00:13 time: 0.0520 data_time: 0.0023 memory: 1021 08/28 14:17:07 - mmengine - INFO - Epoch(val) [20][260/500] eta: 0:00:12 time: 0.0528 data_time: 0.0022 memory: 1021 08/28 14:17:07 - mmengine - INFO - Epoch(val) [20][265/500] eta: 0:00:12 time: 0.0529 data_time: 0.0022 memory: 1021 08/28 14:17:07 - mmengine - INFO - Epoch(val) [20][270/500] eta: 0:00:12 time: 0.0533 data_time: 0.0026 memory: 1021 08/28 14:17:08 - mmengine - INFO - Epoch(val) [20][275/500] eta: 0:00:12 time: 0.0542 data_time: 0.0025 memory: 1021 08/28 14:17:08 - mmengine - INFO - Epoch(val) [20][280/500] eta: 0:00:11 time: 0.0539 data_time: 0.0022 memory: 1021 08/28 14:17:09 - mmengine - INFO - Epoch(val) [20][285/500] eta: 0:00:11 time: 0.1055 data_time: 0.0050 memory: 1021 08/28 14:17:09 - mmengine - INFO - Epoch(val) [20][290/500] eta: 0:00:22 time: 0.1069 data_time: 0.0094 memory: 1021 08/28 14:17:09 - mmengine - INFO - Epoch(val) [20][295/500] eta: 0:00:22 time: 0.0534 data_time: 0.0067 memory: 1021 08/28 14:17:09 - mmengine - INFO - Epoch(val) [20][300/500] eta: 0:00:09 time: 0.0477 data_time: 0.0022 memory: 1021 08/28 14:17:10 - mmengine - INFO - Epoch(val) [20][305/500] eta: 0:00:09 time: 0.0463 data_time: 0.0021 memory: 1021 08/28 14:17:10 - mmengine - INFO - Epoch(val) [20][310/500] eta: 0:00:08 time: 0.0467 data_time: 0.0021 memory: 1021 08/28 14:17:10 - mmengine - INFO - Epoch(val) [20][315/500] eta: 0:00:08 time: 0.0483 data_time: 0.0022 memory: 1021 08/28 14:17:10 - mmengine - INFO - Epoch(val) [20][320/500] eta: 0:00:08 time: 0.0476 data_time: 0.0021 memory: 1021 08/28 14:17:11 - mmengine - INFO - Epoch(val) [20][325/500] eta: 0:00:08 time: 0.0631 data_time: 0.0021 memory: 1021 08/28 14:17:11 - mmengine - INFO - Epoch(val) [20][330/500] eta: 0:00:10 time: 0.0624 data_time: 0.0021 memory: 1021 08/28 14:17:11 - mmengine - INFO - Epoch(val) [20][335/500] eta: 0:00:10 time: 0.0436 data_time: 0.0021 memory: 1021 08/28 14:17:11 - mmengine - INFO - Epoch(val) [20][340/500] eta: 0:00:08 time: 0.0509 data_time: 0.0021 memory: 1021 08/28 14:17:12 - mmengine - INFO - Epoch(val) [20][345/500] eta: 0:00:08 time: 0.0517 data_time: 0.0021 memory: 1021 08/28 14:17:12 - mmengine - INFO - Epoch(val) [20][350/500] eta: 0:00:07 time: 0.0496 data_time: 0.0021 memory: 1021 08/28 14:17:12 - mmengine - INFO - Epoch(val) [20][355/500] eta: 0:00:07 time: 0.0491 data_time: 0.0022 memory: 1021 08/28 14:17:12 - mmengine - INFO - Epoch(val) [20][360/500] eta: 0:00:06 time: 0.0457 data_time: 0.0022 memory: 1021 08/28 14:17:13 - mmengine - INFO - Epoch(val) [20][365/500] eta: 0:00:06 time: 0.0475 data_time: 0.0021 memory: 1021 08/28 14:17:13 - mmengine - INFO - Epoch(val) [20][370/500] eta: 0:00:05 time: 0.0445 data_time: 0.0021 memory: 1021 08/28 14:17:13 - mmengine - INFO - Epoch(val) [20][375/500] eta: 0:00:05 time: 0.0429 data_time: 0.0021 memory: 1021 08/28 14:17:13 - mmengine - INFO - Epoch(val) [20][380/500] eta: 0:00:05 time: 0.0482 data_time: 0.0021 memory: 1021 08/28 14:17:14 - mmengine - INFO - Epoch(val) [20][385/500] eta: 0:00:05 time: 0.0493 data_time: 0.0021 memory: 1021 08/28 14:17:14 - mmengine - INFO - Epoch(val) [20][390/500] eta: 0:00:05 time: 0.0483 data_time: 0.0040 memory: 1021 08/28 14:17:14 - mmengine - INFO - Epoch(val) [20][395/500] eta: 0:00:05 time: 0.0482 data_time: 0.0040 memory: 1021 08/28 14:17:14 - mmengine - INFO - Epoch(val) [20][400/500] eta: 0:00:04 time: 0.0453 data_time: 0.0021 memory: 1021 08/28 14:17:15 - mmengine - INFO - Epoch(val) [20][405/500] eta: 0:00:04 time: 0.0476 data_time: 0.0022 memory: 1021 08/28 14:17:15 - mmengine - INFO - Epoch(val) [20][410/500] eta: 0:00:04 time: 0.0546 data_time: 0.0025 memory: 1021 08/28 14:17:15 - mmengine - INFO - Epoch(val) [20][415/500] eta: 0:00:04 time: 0.0550 data_time: 0.0025 memory: 1021 08/28 14:17:15 - mmengine - INFO - Epoch(val) [20][420/500] eta: 0:00:03 time: 0.0486 data_time: 0.0022 memory: 1021 08/28 14:17:16 - mmengine - INFO - Epoch(val) [20][425/500] eta: 0:00:03 time: 0.0534 data_time: 0.0023 memory: 1021 08/28 14:17:16 - mmengine - INFO - Epoch(val) [20][430/500] eta: 0:00:03 time: 0.0567 data_time: 0.0024 memory: 1021 08/28 14:17:16 - mmengine - INFO - Epoch(val) [20][435/500] eta: 0:00:03 time: 0.0516 data_time: 0.0023 memory: 1021 08/28 14:17:16 - mmengine - INFO - Epoch(val) [20][440/500] eta: 0:00:03 time: 0.0524 data_time: 0.0024 memory: 1021 08/28 14:17:17 - mmengine - INFO - Epoch(val) [20][445/500] eta: 0:00:03 time: 0.0545 data_time: 0.0026 memory: 1021 08/28 14:17:17 - mmengine - INFO - Epoch(val) [20][450/500] eta: 0:00:02 time: 0.0548 data_time: 0.0036 memory: 1021 08/28 14:17:17 - mmengine - INFO - Epoch(val) [20][455/500] eta: 0:00:02 time: 0.0518 data_time: 0.0038 memory: 1021 08/28 14:17:17 - mmengine - INFO - Epoch(val) [20][460/500] eta: 0:00:01 time: 0.0455 data_time: 0.0025 memory: 1021 08/28 14:17:18 - mmengine - INFO - Epoch(val) [20][465/500] eta: 0:00:01 time: 0.0431 data_time: 0.0021 memory: 1021 08/28 14:17:18 - mmengine - INFO - Epoch(val) [20][470/500] eta: 0:00:01 time: 0.0440 data_time: 0.0021 memory: 1021 08/28 14:17:18 - mmengine - INFO - Epoch(val) [20][475/500] eta: 0:00:01 time: 0.0437 data_time: 0.0021 memory: 1021 08/28 14:17:18 - mmengine - INFO - Epoch(val) [20][480/500] eta: 0:00:00 time: 0.0451 data_time: 0.0020 memory: 1021 08/28 14:17:19 - mmengine - INFO - Epoch(val) [20][485/500] eta: 0:00:00 time: 0.0455 data_time: 0.0021 memory: 1021 08/28 14:17:19 - mmengine - INFO - Epoch(val) [20][490/500] eta: 0:00:00 time: 0.0469 data_time: 0.0021 memory: 1021 08/28 14:17:19 - mmengine - INFO - Epoch(val) [20][495/500] eta: 0:00:00 time: 0.0544 data_time: 0.0064 memory: 1021 08/28 14:17:19 - mmengine - INFO - Epoch(val) [20][500/500] eta: 0:00:00 time: 0.0511 data_time: 0.0063 memory: 1021 08/28 14:17:19 - mmengine - INFO - Evaluating hmean-iou... 08/28 14:17:19 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7588, precision: 0.5495, hmean: 0.6374 08/28 14:17:19 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7583, precision: 0.6702, hmean: 0.7115 08/28 14:17:19 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7458, precision: 0.7575, hmean: 0.7516 08/28 14:17:19 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6779, precision: 0.8331, hmean: 0.7475 08/28 14:17:19 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.4468, precision: 0.8966, hmean: 0.5964 08/28 14:17:19 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.0347, precision: 0.9600, hmean: 0.0669 08/28 14:17:19 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 08/28 14:17:19 - mmengine - INFO - Epoch(val) [20][500/500] icdar/precision: 0.7575 icdar/recall: 0.7458 icdar/hmean: 0.7516 08/28 14:17:26 - mmengine - INFO - Epoch(train) [21][5/63] lr: 6.8948e-03 eta: 0:00:00 time: 0.9202 data_time: 0.1845 memory: 14974 loss_prob: 1.7703 loss_thr: 0.7526 loss_db: 0.2952 loss: 2.8180 08/28 14:17:30 - mmengine - INFO - Epoch(train) [21][10/63] lr: 6.8948e-03 eta: 1 day, 5:53:38 time: 0.9657 data_time: 0.2016 memory: 14974 loss_prob: 1.8612 loss_thr: 0.7536 loss_db: 0.3103 loss: 2.9251 08/28 14:17:34 - mmengine - INFO - Epoch(train) [21][15/63] lr: 6.8948e-03 eta: 1 day, 5:53:38 time: 0.8074 data_time: 0.1041 memory: 14974 loss_prob: 1.7804 loss_thr: 0.7238 loss_db: 0.3006 loss: 2.8048 08/28 14:17:38 - mmengine - INFO - Epoch(train) [21][20/63] lr: 6.8948e-03 eta: 1 day, 5:47:29 time: 0.8374 data_time: 0.0926 memory: 14974 loss_prob: 1.7113 loss_thr: 0.7471 loss_db: 0.2877 loss: 2.7460 08/28 14:17:42 - mmengine - INFO - Epoch(train) [21][25/63] lr: 6.8948e-03 eta: 1 day, 5:47:29 time: 0.8087 data_time: 0.0482 memory: 14974 loss_prob: 1.6495 loss_thr: 0.7366 loss_db: 0.2750 loss: 2.6612 08/28 14:17:46 - mmengine - INFO - Epoch(train) [21][30/63] lr: 6.8948e-03 eta: 1 day, 5:41:02 time: 0.7960 data_time: 0.0723 memory: 14974 loss_prob: 1.5383 loss_thr: 0.7070 loss_db: 0.2506 loss: 2.4959 08/28 14:17:50 - mmengine - INFO - Epoch(train) [21][35/63] lr: 6.8948e-03 eta: 1 day, 5:41:02 time: 0.7894 data_time: 0.0659 memory: 14974 loss_prob: 1.5778 loss_thr: 0.7029 loss_db: 0.2553 loss: 2.5359 08/28 14:17:54 - mmengine - INFO - Epoch(train) [21][40/63] lr: 6.8948e-03 eta: 1 day, 5:34:34 time: 0.7836 data_time: 0.0606 memory: 14974 loss_prob: 1.5870 loss_thr: 0.7096 loss_db: 0.2548 loss: 2.5514 08/28 14:17:59 - mmengine - INFO - Epoch(train) [21][45/63] lr: 6.8948e-03 eta: 1 day, 5:34:34 time: 0.8737 data_time: 0.1277 memory: 14974 loss_prob: 1.6239 loss_thr: 0.7125 loss_db: 0.2644 loss: 2.6008 08/28 14:18:03 - mmengine - INFO - Epoch(train) [21][50/63] lr: 6.8948e-03 eta: 1 day, 5:29:07 time: 0.8816 data_time: 0.1228 memory: 14974 loss_prob: 1.5763 loss_thr: 0.6880 loss_db: 0.2557 loss: 2.5200 08/28 14:18:07 - mmengine - INFO - Epoch(train) [21][55/63] lr: 6.8948e-03 eta: 1 day, 5:29:07 time: 0.7839 data_time: 0.0627 memory: 14974 loss_prob: 1.6478 loss_thr: 0.7020 loss_db: 0.2655 loss: 2.6153 08/28 14:18:12 - mmengine - INFO - Epoch(train) [21][60/63] lr: 6.8948e-03 eta: 1 day, 5:24:00 time: 0.9098 data_time: 0.1365 memory: 14974 loss_prob: 1.7338 loss_thr: 0.7020 loss_db: 0.2837 loss: 2.7196 08/28 14:18:14 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:18:20 - mmengine - INFO - Epoch(train) [22][5/63] lr: 6.8896e-03 eta: 1 day, 5:24:00 time: 0.9038 data_time: 0.1903 memory: 14974 loss_prob: 1.7417 loss_thr: 0.7165 loss_db: 0.2867 loss: 2.7449 08/28 14:18:24 - mmengine - INFO - Epoch(train) [22][10/63] lr: 6.8896e-03 eta: 1 day, 5:15:30 time: 0.9695 data_time: 0.2509 memory: 14974 loss_prob: 1.6957 loss_thr: 0.7176 loss_db: 0.2789 loss: 2.6922 08/28 14:18:30 - mmengine - INFO - Epoch(train) [22][15/63] lr: 6.8896e-03 eta: 1 day, 5:15:30 time: 1.0327 data_time: 0.1343 memory: 14974 loss_prob: 1.6270 loss_thr: 0.7194 loss_db: 0.2665 loss: 2.6129 08/28 14:18:34 - mmengine - INFO - Epoch(train) [22][20/63] lr: 6.8896e-03 eta: 1 day, 5:11:46 time: 1.0381 data_time: 0.0943 memory: 14974 loss_prob: 1.5901 loss_thr: 0.7090 loss_db: 0.2592 loss: 2.5582 08/28 14:18:38 - mmengine - INFO - Epoch(train) [22][25/63] lr: 6.8896e-03 eta: 1 day, 5:11:46 time: 0.8488 data_time: 0.0880 memory: 14974 loss_prob: 1.6621 loss_thr: 0.7150 loss_db: 0.2709 loss: 2.6481 08/28 14:18:42 - mmengine - INFO - Epoch(train) [22][30/63] lr: 6.8896e-03 eta: 1 day, 5:05:43 time: 0.7802 data_time: 0.0522 memory: 14974 loss_prob: 1.7635 loss_thr: 0.7231 loss_db: 0.2903 loss: 2.7769 08/28 14:18:46 - mmengine - INFO - Epoch(train) [22][35/63] lr: 6.8896e-03 eta: 1 day, 5:05:43 time: 0.8162 data_time: 0.0934 memory: 14974 loss_prob: 1.6525 loss_thr: 0.6889 loss_db: 0.2700 loss: 2.6113 08/28 14:18:51 - mmengine - INFO - Epoch(train) [22][40/63] lr: 6.8896e-03 eta: 1 day, 5:00:24 time: 0.8519 data_time: 0.1031 memory: 14974 loss_prob: 1.7580 loss_thr: 0.6734 loss_db: 0.2900 loss: 2.7214 08/28 14:18:55 - mmengine - INFO - Epoch(train) [22][45/63] lr: 6.8896e-03 eta: 1 day, 5:00:24 time: 0.8157 data_time: 0.0605 memory: 14974 loss_prob: 1.9023 loss_thr: 0.6943 loss_db: 0.3203 loss: 2.9169 08/28 14:18:59 - mmengine - INFO - Epoch(train) [22][50/63] lr: 6.8896e-03 eta: 1 day, 4:54:46 time: 0.8067 data_time: 0.0765 memory: 14974 loss_prob: 1.7937 loss_thr: 0.7133 loss_db: 0.2980 loss: 2.8050 08/28 14:19:03 - mmengine - INFO - Epoch(train) [22][55/63] lr: 6.8896e-03 eta: 1 day, 4:54:46 time: 0.8323 data_time: 0.0793 memory: 14974 loss_prob: 1.6173 loss_thr: 0.6999 loss_db: 0.2631 loss: 2.5803 08/28 14:19:07 - mmengine - INFO - Epoch(train) [22][60/63] lr: 6.8896e-03 eta: 1 day, 4:49:07 time: 0.7974 data_time: 0.0442 memory: 14974 loss_prob: 1.5363 loss_thr: 0.7027 loss_db: 0.2533 loss: 2.4924 08/28 14:19:09 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:19:15 - mmengine - INFO - Epoch(train) [23][5/63] lr: 6.8843e-03 eta: 1 day, 4:49:07 time: 0.9494 data_time: 0.2536 memory: 14974 loss_prob: 1.5808 loss_thr: 0.6958 loss_db: 0.2618 loss: 2.5384 08/28 14:19:19 - mmengine - INFO - Epoch(train) [23][10/63] lr: 6.8843e-03 eta: 1 day, 4:40:53 time: 0.9205 data_time: 0.2020 memory: 14974 loss_prob: 1.5864 loss_thr: 0.7003 loss_db: 0.2600 loss: 2.5468 08/28 14:19:23 - mmengine - INFO - Epoch(train) [23][15/63] lr: 6.8843e-03 eta: 1 day, 4:40:53 time: 0.8254 data_time: 0.1127 memory: 14974 loss_prob: 1.6042 loss_thr: 0.7122 loss_db: 0.2617 loss: 2.5782 08/28 14:19:28 - mmengine - INFO - Epoch(train) [23][20/63] lr: 6.8843e-03 eta: 1 day, 4:36:21 time: 0.9043 data_time: 0.1117 memory: 14974 loss_prob: 1.5504 loss_thr: 0.6894 loss_db: 0.2460 loss: 2.4859 08/28 14:19:32 - mmengine - INFO - Epoch(train) [23][25/63] lr: 6.8843e-03 eta: 1 day, 4:36:21 time: 0.8979 data_time: 0.0729 memory: 14974 loss_prob: 1.3961 loss_thr: 0.6725 loss_db: 0.2197 loss: 2.2884 08/28 14:19:36 - mmengine - INFO - Epoch(train) [23][30/63] lr: 6.8843e-03 eta: 1 day, 4:31:33 time: 0.8646 data_time: 0.1213 memory: 14974 loss_prob: 1.5554 loss_thr: 0.6926 loss_db: 0.2508 loss: 2.4988 08/28 14:19:41 - mmengine - INFO - Epoch(train) [23][35/63] lr: 6.8843e-03 eta: 1 day, 4:31:33 time: 0.8697 data_time: 0.1291 memory: 14974 loss_prob: 1.8264 loss_thr: 0.7266 loss_db: 0.3013 loss: 2.8543 08/28 14:19:45 - mmengine - INFO - Epoch(train) [23][40/63] lr: 6.8843e-03 eta: 1 day, 4:26:51 time: 0.8675 data_time: 0.0770 memory: 14974 loss_prob: 1.7354 loss_thr: 0.7386 loss_db: 0.2943 loss: 2.7683 08/28 14:19:50 - mmengine - INFO - Epoch(train) [23][45/63] lr: 6.8843e-03 eta: 1 day, 4:26:51 time: 0.9495 data_time: 0.0949 memory: 14974 loss_prob: 1.6518 loss_thr: 0.7375 loss_db: 0.2764 loss: 2.6657 08/28 14:19:54 - mmengine - INFO - Epoch(train) [23][50/63] lr: 6.8843e-03 eta: 1 day, 4:22:23 time: 0.8887 data_time: 0.0857 memory: 14974 loss_prob: 1.6264 loss_thr: 0.7166 loss_db: 0.2639 loss: 2.6070 08/28 14:19:58 - mmengine - INFO - Epoch(train) [23][55/63] lr: 6.8843e-03 eta: 1 day, 4:22:23 time: 0.7595 data_time: 0.0482 memory: 14974 loss_prob: 1.7331 loss_thr: 0.7026 loss_db: 0.2831 loss: 2.7189 08/28 14:20:02 - mmengine - INFO - Epoch(train) [23][60/63] lr: 6.8843e-03 eta: 1 day, 4:17:26 time: 0.8257 data_time: 0.0794 memory: 14974 loss_prob: 1.6379 loss_thr: 0.6853 loss_db: 0.2675 loss: 2.5907 08/28 14:20:04 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:20:10 - mmengine - INFO - Epoch(train) [24][5/63] lr: 6.8790e-03 eta: 1 day, 4:17:26 time: 0.9171 data_time: 0.1930 memory: 14974 loss_prob: 1.9291 loss_thr: 0.6963 loss_db: 0.3167 loss: 2.9421 08/28 14:20:14 - mmengine - INFO - Epoch(train) [24][10/63] lr: 6.8790e-03 eta: 1 day, 4:10:24 time: 0.9907 data_time: 0.2411 memory: 14974 loss_prob: 1.7664 loss_thr: 0.7194 loss_db: 0.3027 loss: 2.7885 08/28 14:20:18 - mmengine - INFO - Epoch(train) [24][15/63] lr: 6.8790e-03 eta: 1 day, 4:10:24 time: 0.8026 data_time: 0.0914 memory: 14974 loss_prob: 1.6583 loss_thr: 0.7192 loss_db: 0.2777 loss: 2.6552 08/28 14:20:22 - mmengine - INFO - Epoch(train) [24][20/63] lr: 6.8790e-03 eta: 1 day, 4:05:20 time: 0.7910 data_time: 0.0390 memory: 14974 loss_prob: 1.8394 loss_thr: 0.7323 loss_db: 0.3180 loss: 2.8897 08/28 14:20:27 - mmengine - INFO - Epoch(train) [24][25/63] lr: 6.8790e-03 eta: 1 day, 4:05:20 time: 0.8512 data_time: 0.1030 memory: 14974 loss_prob: 1.7280 loss_thr: 0.7039 loss_db: 0.2866 loss: 2.7185 08/28 14:20:31 - mmengine - INFO - Epoch(train) [24][30/63] lr: 6.8790e-03 eta: 1 day, 4:00:50 time: 0.8528 data_time: 0.1052 memory: 14974 loss_prob: 1.5677 loss_thr: 0.6976 loss_db: 0.2510 loss: 2.5163 08/28 14:20:35 - mmengine - INFO - Epoch(train) [24][35/63] lr: 6.8790e-03 eta: 1 day, 4:00:50 time: 0.8103 data_time: 0.0694 memory: 14974 loss_prob: 1.6498 loss_thr: 0.6916 loss_db: 0.2698 loss: 2.6111 08/28 14:20:39 - mmengine - INFO - Epoch(train) [24][40/63] lr: 6.8790e-03 eta: 1 day, 3:56:28 time: 0.8629 data_time: 0.1304 memory: 14974 loss_prob: 1.6868 loss_thr: 0.6809 loss_db: 0.2713 loss: 2.6390 08/28 14:20:45 - mmengine - INFO - Epoch(train) [24][45/63] lr: 6.8790e-03 eta: 1 day, 3:56:28 time: 1.0069 data_time: 0.1245 memory: 14974 loss_prob: 1.6035 loss_thr: 0.7100 loss_db: 0.2578 loss: 2.5713 08/28 14:20:50 - mmengine - INFO - Epoch(train) [24][50/63] lr: 6.8790e-03 eta: 1 day, 3:53:58 time: 1.0797 data_time: 0.1194 memory: 14974 loss_prob: 1.5780 loss_thr: 0.7154 loss_db: 0.2521 loss: 2.5456 08/28 14:20:54 - mmengine - INFO - Epoch(train) [24][55/63] lr: 6.8790e-03 eta: 1 day, 3:53:58 time: 0.9325 data_time: 0.1207 memory: 14974 loss_prob: 1.7229 loss_thr: 0.7378 loss_db: 0.2660 loss: 2.7268 08/28 14:20:58 - mmengine - INFO - Epoch(train) [24][60/63] lr: 6.8790e-03 eta: 1 day, 3:48:58 time: 0.7719 data_time: 0.0701 memory: 14974 loss_prob: 1.6674 loss_thr: 0.7382 loss_db: 0.2615 loss: 2.6671 08/28 14:21:01 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:21:08 - mmengine - INFO - Epoch(train) [25][5/63] lr: 6.8738e-03 eta: 1 day, 3:48:58 time: 1.1162 data_time: 0.2581 memory: 14974 loss_prob: 1.5549 loss_thr: 0.7008 loss_db: 0.2552 loss: 2.5108 08/28 14:21:12 - mmengine - INFO - Epoch(train) [25][10/63] lr: 6.8738e-03 eta: 1 day, 3:43:04 time: 1.0668 data_time: 0.2141 memory: 14974 loss_prob: 1.5133 loss_thr: 0.6721 loss_db: 0.2487 loss: 2.4341 08/28 14:21:17 - mmengine - INFO - Epoch(train) [25][15/63] lr: 6.8738e-03 eta: 1 day, 3:43:04 time: 0.9011 data_time: 0.0724 memory: 14974 loss_prob: 1.4661 loss_thr: 0.6805 loss_db: 0.2349 loss: 2.3815 08/28 14:21:20 - mmengine - INFO - Epoch(train) [25][20/63] lr: 6.8738e-03 eta: 1 day, 3:38:44 time: 0.8378 data_time: 0.0692 memory: 14974 loss_prob: 1.4167 loss_thr: 0.6917 loss_db: 0.2284 loss: 2.3368 08/28 14:21:24 - mmengine - INFO - Epoch(train) [25][25/63] lr: 6.8738e-03 eta: 1 day, 3:38:44 time: 0.7894 data_time: 0.0681 memory: 14974 loss_prob: 1.4374 loss_thr: 0.7063 loss_db: 0.2354 loss: 2.3791 08/28 14:21:29 - mmengine - INFO - Epoch(train) [25][30/63] lr: 6.8738e-03 eta: 1 day, 3:34:20 time: 0.8207 data_time: 0.1013 memory: 14974 loss_prob: 1.4614 loss_thr: 0.6811 loss_db: 0.2403 loss: 2.3828 08/28 14:21:33 - mmengine - INFO - Epoch(train) [25][35/63] lr: 6.8738e-03 eta: 1 day, 3:34:20 time: 0.8063 data_time: 0.0916 memory: 14974 loss_prob: 1.4863 loss_thr: 0.6672 loss_db: 0.2461 loss: 2.3996 08/28 14:21:36 - mmengine - INFO - Epoch(train) [25][40/63] lr: 6.8738e-03 eta: 1 day, 3:29:28 time: 0.7568 data_time: 0.0472 memory: 14974 loss_prob: 1.4711 loss_thr: 0.6685 loss_db: 0.2390 loss: 2.3786 08/28 14:21:41 - mmengine - INFO - Epoch(train) [25][45/63] lr: 6.8738e-03 eta: 1 day, 3:29:28 time: 0.8077 data_time: 0.1006 memory: 14974 loss_prob: 1.5442 loss_thr: 0.6974 loss_db: 0.2463 loss: 2.4879 08/28 14:21:45 - mmengine - INFO - Epoch(train) [25][50/63] lr: 6.8738e-03 eta: 1 day, 3:25:15 time: 0.8317 data_time: 0.1173 memory: 14974 loss_prob: 1.7035 loss_thr: 0.7198 loss_db: 0.2708 loss: 2.6941 08/28 14:21:48 - mmengine - INFO - Epoch(train) [25][55/63] lr: 6.8738e-03 eta: 1 day, 3:25:15 time: 0.7822 data_time: 0.0763 memory: 14974 loss_prob: 1.6346 loss_thr: 0.6701 loss_db: 0.2613 loss: 2.5660 08/28 14:21:54 - mmengine - INFO - Epoch(train) [25][60/63] lr: 6.8738e-03 eta: 1 day, 3:21:47 time: 0.9202 data_time: 0.1373 memory: 14974 loss_prob: 1.4659 loss_thr: 0.6495 loss_db: 0.2368 loss: 2.3522 08/28 14:21:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:22:02 - mmengine - INFO - Epoch(train) [26][5/63] lr: 6.8685e-03 eta: 1 day, 3:21:47 time: 0.9762 data_time: 0.1969 memory: 14974 loss_prob: 1.6284 loss_thr: 0.7244 loss_db: 0.2589 loss: 2.6118 08/28 14:22:07 - mmengine - INFO - Epoch(train) [26][10/63] lr: 6.8685e-03 eta: 1 day, 3:16:04 time: 1.0323 data_time: 0.2677 memory: 14974 loss_prob: 1.6087 loss_thr: 0.7353 loss_db: 0.2623 loss: 2.6062 08/28 14:22:11 - mmengine - INFO - Epoch(train) [26][15/63] lr: 6.8685e-03 eta: 1 day, 3:16:04 time: 0.9190 data_time: 0.1361 memory: 14974 loss_prob: 1.6353 loss_thr: 0.7332 loss_db: 0.2692 loss: 2.6376 08/28 14:22:16 - mmengine - INFO - Epoch(train) [26][20/63] lr: 6.8685e-03 eta: 1 day, 3:12:55 time: 0.9472 data_time: 0.0704 memory: 14974 loss_prob: 1.6322 loss_thr: 0.7062 loss_db: 0.2678 loss: 2.6062 08/28 14:22:21 - mmengine - INFO - Epoch(train) [26][25/63] lr: 6.8685e-03 eta: 1 day, 3:12:55 time: 0.9340 data_time: 0.0944 memory: 14974 loss_prob: 1.5387 loss_thr: 0.6751 loss_db: 0.2488 loss: 2.4625 08/28 14:22:25 - mmengine - INFO - Epoch(train) [26][30/63] lr: 6.8685e-03 eta: 1 day, 3:08:54 time: 0.8284 data_time: 0.0859 memory: 14974 loss_prob: 1.3576 loss_thr: 0.6536 loss_db: 0.2157 loss: 2.2269 08/28 14:22:30 - mmengine - INFO - Epoch(train) [26][35/63] lr: 6.8685e-03 eta: 1 day, 3:08:54 time: 0.8884 data_time: 0.0508 memory: 14974 loss_prob: 1.3809 loss_thr: 0.6560 loss_db: 0.2211 loss: 2.2580 08/28 14:22:34 - mmengine - INFO - Epoch(train) [26][40/63] lr: 6.8685e-03 eta: 1 day, 3:05:50 time: 0.9496 data_time: 0.0920 memory: 14974 loss_prob: 1.4750 loss_thr: 0.6516 loss_db: 0.2461 loss: 2.3728 08/28 14:22:38 - mmengine - INFO - Epoch(train) [26][45/63] lr: 6.8685e-03 eta: 1 day, 3:05:50 time: 0.8455 data_time: 0.1013 memory: 14974 loss_prob: 1.4530 loss_thr: 0.6774 loss_db: 0.2426 loss: 2.3730 08/28 14:22:42 - mmengine - INFO - Epoch(train) [26][50/63] lr: 6.8685e-03 eta: 1 day, 3:01:35 time: 0.7876 data_time: 0.0683 memory: 14974 loss_prob: 1.4345 loss_thr: 0.6825 loss_db: 0.2290 loss: 2.3460 08/28 14:22:46 - mmengine - INFO - Epoch(train) [26][55/63] lr: 6.8685e-03 eta: 1 day, 3:01:35 time: 0.7852 data_time: 0.0760 memory: 14974 loss_prob: 1.4529 loss_thr: 0.6847 loss_db: 0.2298 loss: 2.3674 08/28 14:22:50 - mmengine - INFO - Epoch(train) [26][60/63] lr: 6.8685e-03 eta: 1 day, 2:57:36 time: 0.8152 data_time: 0.0625 memory: 14974 loss_prob: 1.3703 loss_thr: 0.6844 loss_db: 0.2214 loss: 2.2761 08/28 14:22:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:22:57 - mmengine - INFO - Epoch(train) [27][5/63] lr: 6.8632e-03 eta: 1 day, 2:57:36 time: 0.8675 data_time: 0.1792 memory: 14974 loss_prob: 1.5332 loss_thr: 0.6985 loss_db: 0.2466 loss: 2.4783 08/28 14:23:02 - mmengine - INFO - Epoch(train) [27][10/63] lr: 6.8632e-03 eta: 1 day, 2:51:47 time: 0.9657 data_time: 0.2394 memory: 14974 loss_prob: 1.5783 loss_thr: 0.6866 loss_db: 0.2554 loss: 2.5203 08/28 14:23:06 - mmengine - INFO - Epoch(train) [27][15/63] lr: 6.8632e-03 eta: 1 day, 2:51:47 time: 0.8573 data_time: 0.1316 memory: 14974 loss_prob: 1.5434 loss_thr: 0.6770 loss_db: 0.2471 loss: 2.4675 08/28 14:23:11 - mmengine - INFO - Epoch(train) [27][20/63] lr: 6.8632e-03 eta: 1 day, 2:48:49 time: 0.9377 data_time: 0.0805 memory: 14974 loss_prob: 1.5714 loss_thr: 0.6742 loss_db: 0.2509 loss: 2.4965 08/28 14:23:16 - mmengine - INFO - Epoch(train) [27][25/63] lr: 6.8632e-03 eta: 1 day, 2:48:49 time: 0.9892 data_time: 0.1266 memory: 14974 loss_prob: 1.6354 loss_thr: 0.6724 loss_db: 0.2522 loss: 2.5600 08/28 14:23:21 - mmengine - INFO - Epoch(train) [27][30/63] lr: 6.8632e-03 eta: 1 day, 2:45:48 time: 0.9269 data_time: 0.1251 memory: 14974 loss_prob: 1.6482 loss_thr: 0.6951 loss_db: 0.2539 loss: 2.5972 08/28 14:23:24 - mmengine - INFO - Epoch(train) [27][35/63] lr: 6.8632e-03 eta: 1 day, 2:45:48 time: 0.8615 data_time: 0.0791 memory: 14974 loss_prob: 1.6322 loss_thr: 0.7235 loss_db: 0.2636 loss: 2.6193 08/28 14:23:30 - mmengine - INFO - Epoch(train) [27][40/63] lr: 6.8632e-03 eta: 1 day, 2:42:55 time: 0.9409 data_time: 0.1000 memory: 14974 loss_prob: 1.5443 loss_thr: 0.7120 loss_db: 0.2588 loss: 2.5151 08/28 14:23:34 - mmengine - INFO - Epoch(train) [27][45/63] lr: 6.8632e-03 eta: 1 day, 2:42:55 time: 0.9347 data_time: 0.0914 memory: 14974 loss_prob: 1.5096 loss_thr: 0.6963 loss_db: 0.2505 loss: 2.4565 08/28 14:23:38 - mmengine - INFO - Epoch(train) [27][50/63] lr: 6.8632e-03 eta: 1 day, 2:38:48 time: 0.7653 data_time: 0.0532 memory: 14974 loss_prob: 1.4420 loss_thr: 0.6830 loss_db: 0.2316 loss: 2.3566 08/28 14:23:43 - mmengine - INFO - Epoch(train) [27][55/63] lr: 6.8632e-03 eta: 1 day, 2:38:48 time: 0.9084 data_time: 0.0755 memory: 14974 loss_prob: 1.5591 loss_thr: 0.6974 loss_db: 0.2506 loss: 2.5071 08/28 14:23:47 - mmengine - INFO - Epoch(train) [27][60/63] lr: 6.8632e-03 eta: 1 day, 2:35:48 time: 0.9142 data_time: 0.0866 memory: 14974 loss_prob: 1.6870 loss_thr: 0.7058 loss_db: 0.2709 loss: 2.6637 08/28 14:23:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:23:54 - mmengine - INFO - Epoch(train) [28][5/63] lr: 6.8580e-03 eta: 1 day, 2:35:48 time: 0.8710 data_time: 0.1915 memory: 14974 loss_prob: 1.6301 loss_thr: 0.7063 loss_db: 0.2614 loss: 2.5979 08/28 14:23:58 - mmengine - INFO - Epoch(train) [28][10/63] lr: 6.8580e-03 eta: 1 day, 2:30:00 time: 0.9172 data_time: 0.2122 memory: 14974 loss_prob: 1.4421 loss_thr: 0.6829 loss_db: 0.2350 loss: 2.3599 08/28 14:24:02 - mmengine - INFO - Epoch(train) [28][15/63] lr: 6.8580e-03 eta: 1 day, 2:30:00 time: 0.8310 data_time: 0.0668 memory: 14974 loss_prob: 1.4592 loss_thr: 0.6998 loss_db: 0.2416 loss: 2.4006 08/28 14:24:06 - mmengine - INFO - Epoch(train) [28][20/63] lr: 6.8580e-03 eta: 1 day, 2:26:32 time: 0.8385 data_time: 0.0592 memory: 14974 loss_prob: 1.3774 loss_thr: 0.6859 loss_db: 0.2260 loss: 2.2893 08/28 14:24:11 - mmengine - INFO - Epoch(train) [28][25/63] lr: 6.8580e-03 eta: 1 day, 2:26:32 time: 0.8552 data_time: 0.1317 memory: 14974 loss_prob: 1.2969 loss_thr: 0.6811 loss_db: 0.2074 loss: 2.1853 08/28 14:24:15 - mmengine - INFO - Epoch(train) [28][30/63] lr: 6.8580e-03 eta: 1 day, 2:23:18 time: 0.8629 data_time: 0.1361 memory: 14974 loss_prob: 1.3399 loss_thr: 0.7040 loss_db: 0.2119 loss: 2.2558 08/28 14:24:19 - mmengine - INFO - Epoch(train) [28][35/63] lr: 6.8580e-03 eta: 1 day, 2:23:18 time: 0.8181 data_time: 0.0711 memory: 14974 loss_prob: 1.2595 loss_thr: 0.6459 loss_db: 0.2004 loss: 2.1058 08/28 14:24:25 - mmengine - INFO - Epoch(train) [28][40/63] lr: 6.8580e-03 eta: 1 day, 2:21:01 time: 0.9934 data_time: 0.1152 memory: 14974 loss_prob: 1.4432 loss_thr: 0.6510 loss_db: 0.2359 loss: 2.3300 08/28 14:24:29 - mmengine - INFO - Epoch(train) [28][45/63] lr: 6.8580e-03 eta: 1 day, 2:21:01 time: 1.0095 data_time: 0.1251 memory: 14974 loss_prob: 1.6594 loss_thr: 0.6757 loss_db: 0.2725 loss: 2.6076 08/28 14:24:33 - mmengine - INFO - Epoch(train) [28][50/63] lr: 6.8580e-03 eta: 1 day, 2:17:50 time: 0.8611 data_time: 0.1242 memory: 14974 loss_prob: 1.7182 loss_thr: 0.6720 loss_db: 0.2777 loss: 2.6679 08/28 14:24:37 - mmengine - INFO - Epoch(train) [28][55/63] lr: 6.8580e-03 eta: 1 day, 2:17:50 time: 0.8186 data_time: 0.1214 memory: 14974 loss_prob: 1.6555 loss_thr: 0.6964 loss_db: 0.2670 loss: 2.6188 08/28 14:24:44 - mmengine - INFO - Epoch(train) [28][60/63] lr: 6.8580e-03 eta: 1 day, 2:15:44 time: 1.0125 data_time: 0.0767 memory: 14974 loss_prob: 1.3910 loss_thr: 0.6669 loss_db: 0.2231 loss: 2.2810 08/28 14:24:46 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:24:51 - mmengine - INFO - Epoch(train) [29][5/63] lr: 6.8527e-03 eta: 1 day, 2:15:44 time: 0.9685 data_time: 0.2111 memory: 14974 loss_prob: 1.2894 loss_thr: 0.6551 loss_db: 0.2081 loss: 2.1527 08/28 14:24:55 - mmengine - INFO - Epoch(train) [29][10/63] lr: 6.8527e-03 eta: 1 day, 2:10:28 time: 0.9459 data_time: 0.1724 memory: 14974 loss_prob: 1.3782 loss_thr: 0.6376 loss_db: 0.2236 loss: 2.2394 08/28 14:25:00 - mmengine - INFO - Epoch(train) [29][15/63] lr: 6.8527e-03 eta: 1 day, 2:10:28 time: 0.9165 data_time: 0.0991 memory: 14974 loss_prob: 1.3692 loss_thr: 0.6464 loss_db: 0.2201 loss: 2.2357 08/28 14:25:04 - mmengine - INFO - Epoch(train) [29][20/63] lr: 6.8527e-03 eta: 1 day, 2:07:35 time: 0.8897 data_time: 0.1046 memory: 14974 loss_prob: 1.3643 loss_thr: 0.6585 loss_db: 0.2235 loss: 2.2464 08/28 14:25:08 - mmengine - INFO - Epoch(train) [29][25/63] lr: 6.8527e-03 eta: 1 day, 2:07:35 time: 0.7803 data_time: 0.0638 memory: 14974 loss_prob: 1.5215 loss_thr: 0.6932 loss_db: 0.2496 loss: 2.4643 08/28 14:25:12 - mmengine - INFO - Epoch(train) [29][30/63] lr: 6.8527e-03 eta: 1 day, 2:04:04 time: 0.7923 data_time: 0.0816 memory: 14974 loss_prob: 1.4093 loss_thr: 0.6656 loss_db: 0.2261 loss: 2.3011 08/28 14:25:16 - mmengine - INFO - Epoch(train) [29][35/63] lr: 6.8527e-03 eta: 1 day, 2:04:04 time: 0.7711 data_time: 0.0648 memory: 14974 loss_prob: 1.2837 loss_thr: 0.6232 loss_db: 0.2043 loss: 2.1112 08/28 14:25:21 - mmengine - INFO - Epoch(train) [29][40/63] lr: 6.8527e-03 eta: 1 day, 2:00:53 time: 0.8345 data_time: 0.0363 memory: 14974 loss_prob: 1.4416 loss_thr: 0.6525 loss_db: 0.2267 loss: 2.3208 08/28 14:25:25 - mmengine - INFO - Epoch(train) [29][45/63] lr: 6.8527e-03 eta: 1 day, 2:00:53 time: 0.8739 data_time: 0.0839 memory: 14974 loss_prob: 1.4533 loss_thr: 0.6446 loss_db: 0.2345 loss: 2.3324 08/28 14:25:28 - mmengine - INFO - Epoch(train) [29][50/63] lr: 6.8527e-03 eta: 1 day, 1:57:23 time: 0.7848 data_time: 0.0877 memory: 14974 loss_prob: 1.4772 loss_thr: 0.6691 loss_db: 0.2394 loss: 2.3857 08/28 14:25:32 - mmengine - INFO - Epoch(train) [29][55/63] lr: 6.8527e-03 eta: 1 day, 1:57:23 time: 0.7555 data_time: 0.0520 memory: 14974 loss_prob: 1.7142 loss_thr: 0.7267 loss_db: 0.2813 loss: 2.7221 08/28 14:25:37 - mmengine - INFO - Epoch(train) [29][60/63] lr: 6.8527e-03 eta: 1 day, 1:54:41 time: 0.8978 data_time: 0.1420 memory: 14974 loss_prob: 1.6832 loss_thr: 0.7345 loss_db: 0.2793 loss: 2.6970 08/28 14:25:39 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:25:45 - mmengine - INFO - Epoch(train) [30][5/63] lr: 6.8474e-03 eta: 1 day, 1:54:41 time: 0.8605 data_time: 0.1790 memory: 14974 loss_prob: 1.6533 loss_thr: 0.7416 loss_db: 0.2631 loss: 2.6579 08/28 14:25:50 - mmengine - INFO - Epoch(train) [30][10/63] lr: 6.8474e-03 eta: 1 day, 1:50:39 time: 1.0806 data_time: 0.2423 memory: 14974 loss_prob: 1.5126 loss_thr: 0.6954 loss_db: 0.2378 loss: 2.4457 08/28 14:25:54 - mmengine - INFO - Epoch(train) [30][15/63] lr: 6.8474e-03 eta: 1 day, 1:50:39 time: 0.9814 data_time: 0.1232 memory: 14974 loss_prob: 1.3707 loss_thr: 0.6455 loss_db: 0.2149 loss: 2.2311 08/28 14:25:58 - mmengine - INFO - Epoch(train) [30][20/63] lr: 6.8474e-03 eta: 1 day, 1:47:23 time: 0.8019 data_time: 0.0663 memory: 14974 loss_prob: 1.4041 loss_thr: 0.6555 loss_db: 0.2247 loss: 2.2844 08/28 14:26:05 - mmengine - INFO - Epoch(train) [30][25/63] lr: 6.8474e-03 eta: 1 day, 1:47:23 time: 1.0186 data_time: 0.1469 memory: 14974 loss_prob: 1.4671 loss_thr: 0.6960 loss_db: 0.2383 loss: 2.4014 08/28 14:26:10 - mmengine - INFO - Epoch(train) [30][30/63] lr: 6.8474e-03 eta: 1 day, 1:46:44 time: 1.1939 data_time: 0.1408 memory: 14974 loss_prob: 1.4773 loss_thr: 0.6912 loss_db: 0.2437 loss: 2.4123 08/28 14:26:14 - mmengine - INFO - Epoch(train) [30][35/63] lr: 6.8474e-03 eta: 1 day, 1:46:44 time: 0.9862 data_time: 0.0903 memory: 14974 loss_prob: 1.4930 loss_thr: 0.6629 loss_db: 0.2475 loss: 2.4033 08/28 14:26:19 - mmengine - INFO - Epoch(train) [30][40/63] lr: 6.8474e-03 eta: 1 day, 1:44:08 time: 0.8943 data_time: 0.0803 memory: 14974 loss_prob: 1.4675 loss_thr: 0.6510 loss_db: 0.2408 loss: 2.3594 08/28 14:26:23 - mmengine - INFO - Epoch(train) [30][45/63] lr: 6.8474e-03 eta: 1 day, 1:44:08 time: 0.8811 data_time: 0.0552 memory: 14974 loss_prob: 1.4506 loss_thr: 0.6622 loss_db: 0.2366 loss: 2.3493 08/28 14:26:28 - mmengine - INFO - Epoch(train) [30][50/63] lr: 6.8474e-03 eta: 1 day, 1:41:08 time: 0.8317 data_time: 0.1111 memory: 14974 loss_prob: 1.5542 loss_thr: 0.6905 loss_db: 0.2563 loss: 2.5010 08/28 14:26:31 - mmengine - INFO - Epoch(train) [30][55/63] lr: 6.8474e-03 eta: 1 day, 1:41:08 time: 0.8134 data_time: 0.0987 memory: 14974 loss_prob: 1.5492 loss_thr: 0.6880 loss_db: 0.2526 loss: 2.4897 08/28 14:26:35 - mmengine - INFO - Epoch(train) [30][60/63] lr: 6.8474e-03 eta: 1 day, 1:37:50 time: 0.7773 data_time: 0.0528 memory: 14974 loss_prob: 1.5707 loss_thr: 0.6904 loss_db: 0.2541 loss: 2.5153 08/28 14:26:38 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:26:43 - mmengine - INFO - Epoch(train) [31][5/63] lr: 6.8422e-03 eta: 1 day, 1:37:50 time: 0.9086 data_time: 0.1971 memory: 14974 loss_prob: 1.4923 loss_thr: 0.6783 loss_db: 0.2444 loss: 2.4149 08/28 14:26:47 - mmengine - INFO - Epoch(train) [31][10/63] lr: 6.8422e-03 eta: 1 day, 1:33:02 time: 0.9279 data_time: 0.1749 memory: 14974 loss_prob: 1.3823 loss_thr: 0.6867 loss_db: 0.2255 loss: 2.2944 08/28 14:26:52 - mmengine - INFO - Epoch(train) [31][15/63] lr: 6.8422e-03 eta: 1 day, 1:33:02 time: 0.8796 data_time: 0.1104 memory: 14974 loss_prob: 1.3167 loss_thr: 0.6691 loss_db: 0.2085 loss: 2.1942 08/28 14:26:56 - mmengine - INFO - Epoch(train) [31][20/63] lr: 6.8422e-03 eta: 1 day, 1:30:32 time: 0.8923 data_time: 0.1326 memory: 14974 loss_prob: 1.3768 loss_thr: 0.6639 loss_db: 0.2203 loss: 2.2611 08/28 14:27:00 - mmengine - INFO - Epoch(train) [31][25/63] lr: 6.8422e-03 eta: 1 day, 1:30:32 time: 0.8093 data_time: 0.0728 memory: 14974 loss_prob: 1.4449 loss_thr: 0.6511 loss_db: 0.2365 loss: 2.3325 08/28 14:27:05 - mmengine - INFO - Epoch(train) [31][30/63] lr: 6.8422e-03 eta: 1 day, 1:28:28 time: 0.9544 data_time: 0.1589 memory: 14974 loss_prob: 1.4096 loss_thr: 0.6381 loss_db: 0.2273 loss: 2.2750 08/28 14:27:10 - mmengine - INFO - Epoch(train) [31][35/63] lr: 6.8422e-03 eta: 1 day, 1:28:28 time: 1.0586 data_time: 0.1643 memory: 14974 loss_prob: 1.4897 loss_thr: 0.6742 loss_db: 0.2378 loss: 2.4017 08/28 14:27:15 - mmengine - INFO - Epoch(train) [31][40/63] lr: 6.8422e-03 eta: 1 day, 1:26:25 time: 0.9566 data_time: 0.1214 memory: 14974 loss_prob: 1.6367 loss_thr: 0.6862 loss_db: 0.2606 loss: 2.5835 08/28 14:27:19 - mmengine - INFO - Epoch(train) [31][45/63] lr: 6.8422e-03 eta: 1 day, 1:26:25 time: 0.8262 data_time: 0.1154 memory: 14974 loss_prob: 1.6875 loss_thr: 0.6966 loss_db: 0.2663 loss: 2.6504 08/28 14:27:24 - mmengine - INFO - Epoch(train) [31][50/63] lr: 6.8422e-03 eta: 1 day, 1:24:01 time: 0.8955 data_time: 0.0892 memory: 14974 loss_prob: 1.6040 loss_thr: 0.7063 loss_db: 0.2591 loss: 2.5694 08/28 14:27:29 - mmengine - INFO - Epoch(train) [31][55/63] lr: 6.8422e-03 eta: 1 day, 1:24:01 time: 1.0135 data_time: 0.1262 memory: 14974 loss_prob: 1.4744 loss_thr: 0.6861 loss_db: 0.2357 loss: 2.3961 08/28 14:27:33 - mmengine - INFO - Epoch(train) [31][60/63] lr: 6.8422e-03 eta: 1 day, 1:21:45 time: 0.9140 data_time: 0.0917 memory: 14974 loss_prob: 1.4424 loss_thr: 0.7044 loss_db: 0.2276 loss: 2.3744 08/28 14:27:36 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:27:41 - mmengine - INFO - Epoch(train) [32][5/63] lr: 6.8369e-03 eta: 1 day, 1:21:45 time: 0.9640 data_time: 0.2022 memory: 14974 loss_prob: 1.4811 loss_thr: 0.6781 loss_db: 0.2386 loss: 2.3978 08/28 14:27:46 - mmengine - INFO - Epoch(train) [32][10/63] lr: 6.8369e-03 eta: 1 day, 1:17:38 time: 0.9957 data_time: 0.2651 memory: 14974 loss_prob: 1.4500 loss_thr: 0.6748 loss_db: 0.2382 loss: 2.3630 08/28 14:27:50 - mmengine - INFO - Epoch(train) [32][15/63] lr: 6.8369e-03 eta: 1 day, 1:17:38 time: 0.8541 data_time: 0.1082 memory: 14974 loss_prob: 1.5179 loss_thr: 0.6954 loss_db: 0.2523 loss: 2.4656 08/28 14:27:54 - mmengine - INFO - Epoch(train) [32][20/63] lr: 6.8369e-03 eta: 1 day, 1:14:51 time: 0.8227 data_time: 0.0486 memory: 14974 loss_prob: 1.4629 loss_thr: 0.6846 loss_db: 0.2431 loss: 2.3906 08/28 14:27:58 - mmengine - INFO - Epoch(train) [32][25/63] lr: 6.8369e-03 eta: 1 day, 1:14:51 time: 0.8216 data_time: 0.0791 memory: 14974 loss_prob: 1.4805 loss_thr: 0.6866 loss_db: 0.2408 loss: 2.4078 08/28 14:28:02 - mmengine - INFO - Epoch(train) [32][30/63] lr: 6.8369e-03 eta: 1 day, 1:12:01 time: 0.8100 data_time: 0.0641 memory: 14974 loss_prob: 1.6749 loss_thr: 0.7167 loss_db: 0.2785 loss: 2.6701 08/28 14:28:06 - mmengine - INFO - Epoch(train) [32][35/63] lr: 6.8369e-03 eta: 1 day, 1:12:01 time: 0.7851 data_time: 0.0521 memory: 14974 loss_prob: 1.6585 loss_thr: 0.7138 loss_db: 0.2825 loss: 2.6548 08/28 14:28:11 - mmengine - INFO - Epoch(train) [32][40/63] lr: 6.8369e-03 eta: 1 day, 1:10:00 time: 0.9369 data_time: 0.1419 memory: 14974 loss_prob: 2.0435 loss_thr: 0.7506 loss_db: 0.3494 loss: 3.1434 08/28 14:28:15 - mmengine - INFO - Epoch(train) [32][45/63] lr: 6.8369e-03 eta: 1 day, 1:10:00 time: 0.9427 data_time: 0.1456 memory: 14974 loss_prob: 2.1061 loss_thr: 0.7560 loss_db: 0.3570 loss: 3.2192 08/28 14:28:17 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:28:20 - mmengine - INFO - Epoch(train) [32][50/63] lr: 6.8369e-03 eta: 1 day, 1:07:29 time: 0.8545 data_time: 0.0787 memory: 14974 loss_prob: 1.6918 loss_thr: 0.6926 loss_db: 0.2728 loss: 2.6572 08/28 14:28:25 - mmengine - INFO - Epoch(train) [32][55/63] lr: 6.8369e-03 eta: 1 day, 1:07:29 time: 0.9913 data_time: 0.1205 memory: 14974 loss_prob: 1.6617 loss_thr: 0.6978 loss_db: 0.2628 loss: 2.6223 08/28 14:28:30 - mmengine - INFO - Epoch(train) [32][60/63] lr: 6.8369e-03 eta: 1 day, 1:05:38 time: 0.9586 data_time: 0.1282 memory: 14974 loss_prob: 1.6804 loss_thr: 0.7296 loss_db: 0.2812 loss: 2.6912 08/28 14:28:32 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:28:37 - mmengine - INFO - Epoch(train) [33][5/63] lr: 6.8316e-03 eta: 1 day, 1:05:38 time: 0.9459 data_time: 0.1721 memory: 14974 loss_prob: 1.7066 loss_thr: 0.7047 loss_db: 0.2923 loss: 2.7036 08/28 14:28:43 - mmengine - INFO - Epoch(train) [33][10/63] lr: 6.8316e-03 eta: 1 day, 1:02:20 time: 1.0955 data_time: 0.2239 memory: 14974 loss_prob: 1.5867 loss_thr: 0.7175 loss_db: 0.2598 loss: 2.5639 08/28 14:28:46 - mmengine - INFO - Epoch(train) [33][15/63] lr: 6.8316e-03 eta: 1 day, 1:02:20 time: 0.9065 data_time: 0.0922 memory: 14974 loss_prob: 1.5206 loss_thr: 0.7091 loss_db: 0.2388 loss: 2.4685 08/28 14:28:51 - mmengine - INFO - Epoch(train) [33][20/63] lr: 6.8316e-03 eta: 1 day, 0:59:59 time: 0.8698 data_time: 0.0443 memory: 14974 loss_prob: 1.6530 loss_thr: 0.7027 loss_db: 0.2680 loss: 2.6236 08/28 14:28:56 - mmengine - INFO - Epoch(train) [33][25/63] lr: 6.8316e-03 eta: 1 day, 0:59:59 time: 0.9105 data_time: 0.0818 memory: 14974 loss_prob: 1.7760 loss_thr: 0.7136 loss_db: 0.2954 loss: 2.7849 08/28 14:28:59 - mmengine - INFO - Epoch(train) [33][30/63] lr: 6.8316e-03 eta: 1 day, 0:57:08 time: 0.7792 data_time: 0.0786 memory: 14974 loss_prob: 1.6240 loss_thr: 0.6811 loss_db: 0.2594 loss: 2.5645 08/28 14:29:03 - mmengine - INFO - Epoch(train) [33][35/63] lr: 6.8316e-03 eta: 1 day, 0:57:08 time: 0.7613 data_time: 0.0516 memory: 14974 loss_prob: 1.5425 loss_thr: 0.6663 loss_db: 0.2551 loss: 2.4639 08/28 14:29:08 - mmengine - INFO - Epoch(train) [33][40/63] lr: 6.8316e-03 eta: 1 day, 0:54:35 time: 0.8292 data_time: 0.1033 memory: 14974 loss_prob: 1.5682 loss_thr: 0.6918 loss_db: 0.2667 loss: 2.5266 08/28 14:29:12 - mmengine - INFO - Epoch(train) [33][45/63] lr: 6.8316e-03 eta: 1 day, 0:54:35 time: 0.8527 data_time: 0.0939 memory: 14974 loss_prob: 1.4859 loss_thr: 0.6938 loss_db: 0.2429 loss: 2.4226 08/28 14:29:15 - mmengine - INFO - Epoch(train) [33][50/63] lr: 6.8316e-03 eta: 1 day, 0:51:52 time: 0.7947 data_time: 0.0452 memory: 14974 loss_prob: 1.4091 loss_thr: 0.6713 loss_db: 0.2277 loss: 2.3081 08/28 14:29:20 - mmengine - INFO - Epoch(train) [33][55/63] lr: 6.8316e-03 eta: 1 day, 0:51:52 time: 0.8089 data_time: 0.1101 memory: 14974 loss_prob: 1.4787 loss_thr: 0.6810 loss_db: 0.2406 loss: 2.4003 08/28 14:29:24 - mmengine - INFO - Epoch(train) [33][60/63] lr: 6.8316e-03 eta: 1 day, 0:49:20 time: 0.8220 data_time: 0.1217 memory: 14974 loss_prob: 1.5482 loss_thr: 0.7036 loss_db: 0.2522 loss: 2.5041 08/28 14:29:26 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:29:32 - mmengine - INFO - Epoch(train) [34][5/63] lr: 6.8264e-03 eta: 1 day, 0:49:20 time: 0.9480 data_time: 0.1982 memory: 14974 loss_prob: 1.6795 loss_thr: 0.6983 loss_db: 0.2692 loss: 2.6469 08/28 14:29:37 - mmengine - INFO - Epoch(train) [34][10/63] lr: 6.8264e-03 eta: 1 day, 0:46:35 time: 1.1574 data_time: 0.2730 memory: 14974 loss_prob: 1.6918 loss_thr: 0.6886 loss_db: 0.2690 loss: 2.6494 08/28 14:29:42 - mmengine - INFO - Epoch(train) [34][15/63] lr: 6.8264e-03 eta: 1 day, 0:46:35 time: 0.9780 data_time: 0.1251 memory: 14974 loss_prob: 1.4730 loss_thr: 0.6606 loss_db: 0.2388 loss: 2.3725 08/28 14:29:45 - mmengine - INFO - Epoch(train) [34][20/63] lr: 6.8264e-03 eta: 1 day, 0:44:00 time: 0.8045 data_time: 0.0615 memory: 14974 loss_prob: 1.4053 loss_thr: 0.6465 loss_db: 0.2262 loss: 2.2779 08/28 14:29:50 - mmengine - INFO - Epoch(train) [34][25/63] lr: 6.8264e-03 eta: 1 day, 0:44:00 time: 0.8448 data_time: 0.1231 memory: 14974 loss_prob: 1.3940 loss_thr: 0.6510 loss_db: 0.2242 loss: 2.2692 08/28 14:29:55 - mmengine - INFO - Epoch(train) [34][30/63] lr: 6.8264e-03 eta: 1 day, 0:42:27 time: 0.9793 data_time: 0.1123 memory: 14974 loss_prob: 1.5675 loss_thr: 0.7019 loss_db: 0.2524 loss: 2.5219 08/28 14:29:59 - mmengine - INFO - Epoch(train) [34][35/63] lr: 6.8264e-03 eta: 1 day, 0:42:27 time: 0.9249 data_time: 0.0583 memory: 14974 loss_prob: 1.7231 loss_thr: 0.7396 loss_db: 0.2807 loss: 2.7434 08/28 14:30:04 - mmengine - INFO - Epoch(train) [34][40/63] lr: 6.8264e-03 eta: 1 day, 0:40:17 time: 0.8701 data_time: 0.0858 memory: 14974 loss_prob: 1.6075 loss_thr: 0.7076 loss_db: 0.2631 loss: 2.5783 08/28 14:30:08 - mmengine - INFO - Epoch(train) [34][45/63] lr: 6.8264e-03 eta: 1 day, 0:40:17 time: 0.8394 data_time: 0.0789 memory: 14974 loss_prob: 1.5314 loss_thr: 0.6981 loss_db: 0.2465 loss: 2.4760 08/28 14:30:12 - mmengine - INFO - Epoch(train) [34][50/63] lr: 6.8264e-03 eta: 1 day, 0:37:50 time: 0.8198 data_time: 0.0617 memory: 14974 loss_prob: 1.7367 loss_thr: 0.7310 loss_db: 0.2834 loss: 2.7511 08/28 14:30:16 - mmengine - INFO - Epoch(train) [34][55/63] lr: 6.8264e-03 eta: 1 day, 0:37:50 time: 0.8697 data_time: 0.1062 memory: 14974 loss_prob: 1.7557 loss_thr: 0.7297 loss_db: 0.2921 loss: 2.7775 08/28 14:30:20 - mmengine - INFO - Epoch(train) [34][60/63] lr: 6.8264e-03 eta: 1 day, 0:35:23 time: 0.8128 data_time: 0.1033 memory: 14974 loss_prob: 1.6549 loss_thr: 0.7174 loss_db: 0.2722 loss: 2.6445 08/28 14:30:22 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:30:28 - mmengine - INFO - Epoch(train) [35][5/63] lr: 6.8211e-03 eta: 1 day, 0:35:23 time: 0.8918 data_time: 0.1802 memory: 14974 loss_prob: 1.6353 loss_thr: 0.6972 loss_db: 0.2731 loss: 2.6056 08/28 14:30:32 - mmengine - INFO - Epoch(train) [35][10/63] lr: 6.8211e-03 eta: 1 day, 0:31:58 time: 1.0116 data_time: 0.2682 memory: 14974 loss_prob: 1.6334 loss_thr: 0.7002 loss_db: 0.2762 loss: 2.6098 08/28 14:30:36 - mmengine - INFO - Epoch(train) [35][15/63] lr: 6.8211e-03 eta: 1 day, 0:31:58 time: 0.8372 data_time: 0.1273 memory: 14974 loss_prob: 1.6558 loss_thr: 0.7216 loss_db: 0.2742 loss: 2.6516 08/28 14:30:41 - mmengine - INFO - Epoch(train) [35][20/63] lr: 6.8211e-03 eta: 1 day, 0:29:41 time: 0.8338 data_time: 0.0581 memory: 14974 loss_prob: 1.5442 loss_thr: 0.7073 loss_db: 0.2457 loss: 2.4972 08/28 14:30:45 - mmengine - INFO - Epoch(train) [35][25/63] lr: 6.8211e-03 eta: 1 day, 0:29:41 time: 0.9087 data_time: 0.1251 memory: 14974 loss_prob: 1.4359 loss_thr: 0.6642 loss_db: 0.2280 loss: 2.3280 08/28 14:30:50 - mmengine - INFO - Epoch(train) [35][30/63] lr: 6.8211e-03 eta: 1 day, 0:27:51 time: 0.9116 data_time: 0.1211 memory: 14974 loss_prob: 1.4142 loss_thr: 0.6597 loss_db: 0.2244 loss: 2.2983 08/28 14:30:55 - mmengine - INFO - Epoch(train) [35][35/63] lr: 6.8211e-03 eta: 1 day, 0:27:51 time: 0.9749 data_time: 0.0676 memory: 14974 loss_prob: 1.5639 loss_thr: 0.6973 loss_db: 0.2572 loss: 2.5184 08/28 14:30:59 - mmengine - INFO - Epoch(train) [35][40/63] lr: 6.8211e-03 eta: 1 day, 0:26:22 time: 0.9695 data_time: 0.1287 memory: 14974 loss_prob: 1.4925 loss_thr: 0.6670 loss_db: 0.2456 loss: 2.4051 08/28 14:31:03 - mmengine - INFO - Epoch(train) [35][45/63] lr: 6.8211e-03 eta: 1 day, 0:26:22 time: 0.8454 data_time: 0.1243 memory: 14974 loss_prob: 1.5032 loss_thr: 0.6432 loss_db: 0.2502 loss: 2.3967 08/28 14:31:09 - mmengine - INFO - Epoch(train) [35][50/63] lr: 6.8211e-03 eta: 1 day, 0:24:31 time: 0.9034 data_time: 0.0698 memory: 14974 loss_prob: 1.6100 loss_thr: 0.6851 loss_db: 0.2755 loss: 2.5706 08/28 14:31:13 - mmengine - INFO - Epoch(train) [35][55/63] lr: 6.8211e-03 eta: 1 day, 0:24:31 time: 1.0030 data_time: 0.1055 memory: 14974 loss_prob: 1.6379 loss_thr: 0.7058 loss_db: 0.2664 loss: 2.6101 08/28 14:31:17 - mmengine - INFO - Epoch(train) [35][60/63] lr: 6.8211e-03 eta: 1 day, 0:22:32 time: 0.8776 data_time: 0.1096 memory: 14974 loss_prob: 1.7725 loss_thr: 0.7297 loss_db: 0.2821 loss: 2.7843 08/28 14:31:20 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:31:25 - mmengine - INFO - Epoch(train) [36][5/63] lr: 6.8158e-03 eta: 1 day, 0:22:32 time: 0.9447 data_time: 0.1670 memory: 14974 loss_prob: 1.6344 loss_thr: 0.6802 loss_db: 0.2654 loss: 2.5801 08/28 14:31:30 - mmengine - INFO - Epoch(train) [36][10/63] lr: 6.8158e-03 eta: 1 day, 0:19:11 time: 0.9917 data_time: 0.2497 memory: 14974 loss_prob: 1.6182 loss_thr: 0.6751 loss_db: 0.2668 loss: 2.5601 08/28 14:31:34 - mmengine - INFO - Epoch(train) [36][15/63] lr: 6.8158e-03 eta: 1 day, 0:19:11 time: 0.8619 data_time: 0.1230 memory: 14974 loss_prob: 1.7218 loss_thr: 0.7307 loss_db: 0.2895 loss: 2.7420 08/28 14:31:38 - mmengine - INFO - Epoch(train) [36][20/63] lr: 6.8158e-03 eta: 1 day, 0:16:34 time: 0.7538 data_time: 0.0509 memory: 14974 loss_prob: 1.7631 loss_thr: 0.7368 loss_db: 0.2963 loss: 2.7962 08/28 14:31:42 - mmengine - INFO - Epoch(train) [36][25/63] lr: 6.8158e-03 eta: 1 day, 0:16:34 time: 0.8391 data_time: 0.0789 memory: 14974 loss_prob: 1.6947 loss_thr: 0.6939 loss_db: 0.2816 loss: 2.6702 08/28 14:31:46 - mmengine - INFO - Epoch(train) [36][30/63] lr: 6.8158e-03 eta: 1 day, 0:14:29 time: 0.8467 data_time: 0.0683 memory: 14974 loss_prob: 1.6347 loss_thr: 0.6782 loss_db: 0.2681 loss: 2.5810 08/28 14:31:50 - mmengine - INFO - Epoch(train) [36][35/63] lr: 6.8158e-03 eta: 1 day, 0:14:29 time: 0.7719 data_time: 0.0507 memory: 14974 loss_prob: 1.6112 loss_thr: 0.6842 loss_db: 0.2657 loss: 2.5610 08/28 14:31:55 - mmengine - INFO - Epoch(train) [36][40/63] lr: 6.8158e-03 eta: 1 day, 0:12:25 time: 0.8473 data_time: 0.1346 memory: 14974 loss_prob: 1.5436 loss_thr: 0.6762 loss_db: 0.2530 loss: 2.4729 08/28 14:31:59 - mmengine - INFO - Epoch(train) [36][45/63] lr: 6.8158e-03 eta: 1 day, 0:12:25 time: 0.8536 data_time: 0.1318 memory: 14974 loss_prob: 1.4743 loss_thr: 0.6736 loss_db: 0.2272 loss: 2.3751 08/28 14:32:04 - mmengine - INFO - Epoch(train) [36][50/63] lr: 6.8158e-03 eta: 1 day, 0:10:47 time: 0.9220 data_time: 0.0698 memory: 14974 loss_prob: 1.5680 loss_thr: 0.6835 loss_db: 0.2477 loss: 2.4992 08/28 14:32:09 - mmengine - INFO - Epoch(train) [36][55/63] lr: 6.8158e-03 eta: 1 day, 0:10:47 time: 1.0719 data_time: 0.1267 memory: 14974 loss_prob: 1.5349 loss_thr: 0.6674 loss_db: 0.2512 loss: 2.4534 08/28 14:32:13 - mmengine - INFO - Epoch(train) [36][60/63] lr: 6.8158e-03 eta: 1 day, 0:09:16 time: 0.9432 data_time: 0.1204 memory: 14974 loss_prob: 1.4868 loss_thr: 0.6861 loss_db: 0.2427 loss: 2.4155 08/28 14:32:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:32:21 - mmengine - INFO - Epoch(train) [37][5/63] lr: 6.8106e-03 eta: 1 day, 0:09:16 time: 0.8823 data_time: 0.1755 memory: 14974 loss_prob: 1.3532 loss_thr: 0.6802 loss_db: 0.2246 loss: 2.2581 08/28 14:32:26 - mmengine - INFO - Epoch(train) [37][10/63] lr: 6.8106e-03 eta: 1 day, 0:06:21 time: 1.0466 data_time: 0.2188 memory: 14974 loss_prob: 1.2851 loss_thr: 0.6219 loss_db: 0.2135 loss: 2.1205 08/28 14:32:31 - mmengine - INFO - Epoch(train) [37][15/63] lr: 6.8106e-03 eta: 1 day, 0:06:21 time: 0.9851 data_time: 0.0936 memory: 14974 loss_prob: 1.4040 loss_thr: 0.6476 loss_db: 0.2371 loss: 2.2887 08/28 14:32:35 - mmengine - INFO - Epoch(train) [37][20/63] lr: 6.8106e-03 eta: 1 day, 0:04:34 time: 0.8855 data_time: 0.0461 memory: 14974 loss_prob: 1.5128 loss_thr: 0.6643 loss_db: 0.2447 loss: 2.4218 08/28 14:32:39 - mmengine - INFO - Epoch(train) [37][25/63] lr: 6.8106e-03 eta: 1 day, 0:04:34 time: 0.8694 data_time: 0.0766 memory: 14974 loss_prob: 1.6854 loss_thr: 0.6915 loss_db: 0.2659 loss: 2.6427 08/28 14:32:43 - mmengine - INFO - Epoch(train) [37][30/63] lr: 6.8106e-03 eta: 1 day, 0:02:26 time: 0.8198 data_time: 0.0813 memory: 14974 loss_prob: 1.7319 loss_thr: 0.7227 loss_db: 0.2779 loss: 2.7325 08/28 14:32:47 - mmengine - INFO - Epoch(train) [37][35/63] lr: 6.8106e-03 eta: 1 day, 0:02:26 time: 0.7571 data_time: 0.0562 memory: 14974 loss_prob: 1.5534 loss_thr: 0.6937 loss_db: 0.2479 loss: 2.4950 08/28 14:32:52 - mmengine - INFO - Epoch(train) [37][40/63] lr: 6.8106e-03 eta: 1 day, 0:00:38 time: 0.8764 data_time: 0.1061 memory: 14974 loss_prob: 1.5364 loss_thr: 0.6878 loss_db: 0.2479 loss: 2.4721 08/28 14:32:56 - mmengine - INFO - Epoch(train) [37][45/63] lr: 6.8106e-03 eta: 1 day, 0:00:38 time: 0.8598 data_time: 0.1034 memory: 14974 loss_prob: 1.5549 loss_thr: 0.6802 loss_db: 0.2582 loss: 2.4932 08/28 14:32:59 - mmengine - INFO - Epoch(train) [37][50/63] lr: 6.8106e-03 eta: 23:58:08 time: 0.7430 data_time: 0.0420 memory: 14974 loss_prob: 1.3917 loss_thr: 0.6658 loss_db: 0.2319 loss: 2.2894 08/28 14:33:03 - mmengine - INFO - Epoch(train) [37][55/63] lr: 6.8106e-03 eta: 23:58:08 time: 0.7909 data_time: 0.0708 memory: 14974 loss_prob: 1.3258 loss_thr: 0.6616 loss_db: 0.2171 loss: 2.2045 08/28 14:33:07 - mmengine - INFO - Epoch(train) [37][60/63] lr: 6.8106e-03 eta: 23:55:58 time: 0.8018 data_time: 0.0858 memory: 14974 loss_prob: 1.4264 loss_thr: 0.6769 loss_db: 0.2280 loss: 2.3313 08/28 14:33:09 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:33:15 - mmengine - INFO - Epoch(train) [38][5/63] lr: 6.8053e-03 eta: 23:55:58 time: 0.8681 data_time: 0.1875 memory: 14974 loss_prob: 1.5449 loss_thr: 0.7041 loss_db: 0.2453 loss: 2.4944 08/28 14:33:20 - mmengine - INFO - Epoch(train) [38][10/63] lr: 6.8053e-03 eta: 23:53:04 time: 1.0201 data_time: 0.2507 memory: 14974 loss_prob: 1.4442 loss_thr: 0.7014 loss_db: 0.2356 loss: 2.3812 08/28 14:33:25 - mmengine - INFO - Epoch(train) [38][15/63] lr: 6.8053e-03 eta: 23:53:04 time: 1.0046 data_time: 0.1276 memory: 14974 loss_prob: 1.3060 loss_thr: 0.6643 loss_db: 0.2180 loss: 2.1883 08/28 14:33:28 - mmengine - INFO - Epoch(train) [38][20/63] lr: 6.8053e-03 eta: 23:51:26 time: 0.8973 data_time: 0.0732 memory: 14974 loss_prob: 1.3649 loss_thr: 0.6536 loss_db: 0.2253 loss: 2.2437 08/28 14:33:33 - mmengine - INFO - Epoch(train) [38][25/63] lr: 6.8053e-03 eta: 23:51:26 time: 0.8515 data_time: 0.1306 memory: 14974 loss_prob: 1.4827 loss_thr: 0.6690 loss_db: 0.2397 loss: 2.3914 08/28 14:33:37 - mmengine - INFO - Epoch(train) [38][30/63] lr: 6.8053e-03 eta: 23:49:33 time: 0.8453 data_time: 0.1184 memory: 14974 loss_prob: 1.6125 loss_thr: 0.6746 loss_db: 0.2514 loss: 2.5385 08/28 14:33:42 - mmengine - INFO - Epoch(train) [38][35/63] lr: 6.8053e-03 eta: 23:49:33 time: 0.8987 data_time: 0.0554 memory: 14974 loss_prob: 1.7149 loss_thr: 0.6757 loss_db: 0.2735 loss: 2.6642 08/28 14:33:46 - mmengine - INFO - Epoch(train) [38][40/63] lr: 6.8053e-03 eta: 23:48:12 time: 0.9476 data_time: 0.0931 memory: 14974 loss_prob: 1.7651 loss_thr: 0.6837 loss_db: 0.3016 loss: 2.7504 08/28 14:33:51 - mmengine - INFO - Epoch(train) [38][45/63] lr: 6.8053e-03 eta: 23:48:12 time: 0.8518 data_time: 0.0863 memory: 14974 loss_prob: 1.6440 loss_thr: 0.6665 loss_db: 0.2803 loss: 2.5908 08/28 14:33:55 - mmengine - INFO - Epoch(train) [38][50/63] lr: 6.8053e-03 eta: 23:46:11 time: 0.8159 data_time: 0.0478 memory: 14974 loss_prob: 1.4508 loss_thr: 0.6504 loss_db: 0.2372 loss: 2.3385 08/28 14:33:59 - mmengine - INFO - Epoch(train) [38][55/63] lr: 6.8053e-03 eta: 23:46:11 time: 0.8112 data_time: 0.0946 memory: 14974 loss_prob: 1.4204 loss_thr: 0.6573 loss_db: 0.2292 loss: 2.3069 08/28 14:34:03 - mmengine - INFO - Epoch(train) [38][60/63] lr: 6.8053e-03 eta: 23:44:16 time: 0.8289 data_time: 0.0979 memory: 14974 loss_prob: 1.5127 loss_thr: 0.6684 loss_db: 0.2443 loss: 2.4255 08/28 14:34:05 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:34:10 - mmengine - INFO - Epoch(train) [39][5/63] lr: 6.8000e-03 eta: 23:44:16 time: 0.8989 data_time: 0.1951 memory: 14974 loss_prob: 1.5481 loss_thr: 0.6828 loss_db: 0.2474 loss: 2.4783 08/28 14:34:15 - mmengine - INFO - Epoch(train) [39][10/63] lr: 6.8000e-03 eta: 23:41:11 time: 0.9628 data_time: 0.2091 memory: 14974 loss_prob: 1.3381 loss_thr: 0.6337 loss_db: 0.2130 loss: 2.1847 08/28 14:34:19 - mmengine - INFO - Epoch(train) [39][15/63] lr: 6.8000e-03 eta: 23:41:11 time: 0.8300 data_time: 0.0648 memory: 14974 loss_prob: 1.2954 loss_thr: 0.6243 loss_db: 0.2072 loss: 2.1269 08/28 14:34:23 - mmengine - INFO - Epoch(train) [39][20/63] lr: 6.8000e-03 eta: 23:39:05 time: 0.7872 data_time: 0.0523 memory: 14974 loss_prob: 1.3652 loss_thr: 0.6653 loss_db: 0.2206 loss: 2.2512 08/28 14:34:27 - mmengine - INFO - Epoch(train) [39][25/63] lr: 6.8000e-03 eta: 23:39:05 time: 0.8451 data_time: 0.1355 memory: 14974 loss_prob: 1.5353 loss_thr: 0.7015 loss_db: 0.2448 loss: 2.4816 08/28 14:34:31 - mmengine - INFO - Epoch(train) [39][30/63] lr: 6.8000e-03 eta: 23:37:28 time: 0.8801 data_time: 0.1382 memory: 14974 loss_prob: 1.4770 loss_thr: 0.6982 loss_db: 0.2358 loss: 2.4110 08/28 14:34:36 - mmengine - INFO - Epoch(train) [39][35/63] lr: 6.8000e-03 eta: 23:37:28 time: 0.8424 data_time: 0.0738 memory: 14974 loss_prob: 1.3612 loss_thr: 0.6667 loss_db: 0.2159 loss: 2.2438 08/28 14:34:41 - mmengine - INFO - Epoch(train) [39][40/63] lr: 6.8000e-03 eta: 23:36:16 time: 0.9596 data_time: 0.1092 memory: 14974 loss_prob: 1.4122 loss_thr: 0.6415 loss_db: 0.2316 loss: 2.2853 08/28 14:34:45 - mmengine - INFO - Epoch(train) [39][45/63] lr: 6.8000e-03 eta: 23:36:16 time: 0.9388 data_time: 0.1098 memory: 14974 loss_prob: 1.4296 loss_thr: 0.6521 loss_db: 0.2416 loss: 2.3233 08/28 14:34:49 - mmengine - INFO - Epoch(train) [39][50/63] lr: 6.8000e-03 eta: 23:34:12 time: 0.7873 data_time: 0.0687 memory: 14974 loss_prob: 1.6346 loss_thr: 0.6911 loss_db: 0.2721 loss: 2.5978 08/28 14:34:55 - mmengine - INFO - Epoch(train) [39][55/63] lr: 6.8000e-03 eta: 23:34:12 time: 0.9960 data_time: 0.1155 memory: 14974 loss_prob: 1.6843 loss_thr: 0.7049 loss_db: 0.2759 loss: 2.6651 08/28 14:35:00 - mmengine - INFO - Epoch(train) [39][60/63] lr: 6.8000e-03 eta: 23:33:37 time: 1.0812 data_time: 0.1169 memory: 14974 loss_prob: 1.6926 loss_thr: 0.7024 loss_db: 0.2814 loss: 2.6763 08/28 14:35:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:35:08 - mmengine - INFO - Epoch(train) [40][5/63] lr: 6.7947e-03 eta: 23:33:37 time: 1.0215 data_time: 0.2243 memory: 14974 loss_prob: 1.4961 loss_thr: 0.6538 loss_db: 0.2441 loss: 2.3939 08/28 14:35:12 - mmengine - INFO - Epoch(train) [40][10/63] lr: 6.7947e-03 eta: 23:30:34 time: 0.9398 data_time: 0.1873 memory: 14974 loss_prob: 1.4896 loss_thr: 0.6714 loss_db: 0.2409 loss: 2.4019 08/28 14:35:16 - mmengine - INFO - Epoch(train) [40][15/63] lr: 6.7947e-03 eta: 23:30:34 time: 0.7949 data_time: 0.0916 memory: 14974 loss_prob: 1.4468 loss_thr: 0.6665 loss_db: 0.2358 loss: 2.3491 08/28 14:35:20 - mmengine - INFO - Epoch(train) [40][20/63] lr: 6.7947e-03 eta: 23:28:41 time: 0.8149 data_time: 0.0970 memory: 14974 loss_prob: 1.4039 loss_thr: 0.6771 loss_db: 0.2382 loss: 2.3192 08/28 14:35:25 - mmengine - INFO - Epoch(train) [40][25/63] lr: 6.7947e-03 eta: 23:28:41 time: 0.8584 data_time: 0.0650 memory: 14974 loss_prob: 1.2444 loss_thr: 0.6593 loss_db: 0.2067 loss: 2.1103 08/28 14:35:29 - mmengine - INFO - Epoch(train) [40][30/63] lr: 6.7947e-03 eta: 23:27:02 time: 0.8580 data_time: 0.0742 memory: 14974 loss_prob: 1.3061 loss_thr: 0.6559 loss_db: 0.2100 loss: 2.1721 08/28 14:35:32 - mmengine - INFO - Epoch(train) [40][35/63] lr: 6.7947e-03 eta: 23:27:02 time: 0.7818 data_time: 0.0666 memory: 14974 loss_prob: 1.5367 loss_thr: 0.6770 loss_db: 0.2522 loss: 2.4659 08/28 14:35:36 - mmengine - INFO - Epoch(train) [40][40/63] lr: 6.7947e-03 eta: 23:25:02 time: 0.7851 data_time: 0.0435 memory: 14974 loss_prob: 1.5780 loss_thr: 0.6715 loss_db: 0.2618 loss: 2.5113 08/28 14:35:41 - mmengine - INFO - Epoch(train) [40][45/63] lr: 6.7947e-03 eta: 23:25:02 time: 0.8676 data_time: 0.1178 memory: 14974 loss_prob: 1.5758 loss_thr: 0.6782 loss_db: 0.2582 loss: 2.5122 08/28 14:35:45 - mmengine - INFO - Epoch(train) [40][50/63] lr: 6.7947e-03 eta: 23:23:25 time: 0.8583 data_time: 0.1430 memory: 14974 loss_prob: 1.5666 loss_thr: 0.6690 loss_db: 0.2507 loss: 2.4863 08/28 14:35:49 - mmengine - INFO - Epoch(train) [40][55/63] lr: 6.7947e-03 eta: 23:23:25 time: 0.7948 data_time: 0.0752 memory: 14974 loss_prob: 1.4736 loss_thr: 0.6515 loss_db: 0.2367 loss: 2.3618 08/28 14:35:54 - mmengine - INFO - Epoch(train) [40][60/63] lr: 6.7947e-03 eta: 23:21:56 time: 0.8869 data_time: 0.1171 memory: 14974 loss_prob: 1.3486 loss_thr: 0.6360 loss_db: 0.2187 loss: 2.2033 08/28 14:35:57 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:35:57 - mmengine - INFO - Saving checkpoint at 40 epochs 08/28 14:36:04 - mmengine - INFO - Epoch(val) [40][5/500] eta: 23:21:56 time: 0.1215 data_time: 0.0634 memory: 14974 08/28 14:36:04 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:01:03 time: 0.1290 data_time: 0.0700 memory: 1021 08/28 14:36:04 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:01:03 time: 0.0508 data_time: 0.0088 memory: 1021 08/28 14:36:05 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:00:21 time: 0.0447 data_time: 0.0022 memory: 1021 08/28 14:36:05 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:00:21 time: 0.0508 data_time: 0.0021 memory: 1021 08/28 14:36:05 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:24 time: 0.0519 data_time: 0.0022 memory: 1021 08/28 14:36:05 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:24 time: 0.0456 data_time: 0.0022 memory: 1021 08/28 14:36:06 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:21 time: 0.0466 data_time: 0.0021 memory: 1021 08/28 14:36:06 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:21 time: 0.0482 data_time: 0.0021 memory: 1021 08/28 14:36:06 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:22 time: 0.0490 data_time: 0.0020 memory: 1021 08/28 14:36:06 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:22 time: 0.0489 data_time: 0.0021 memory: 1021 08/28 14:36:07 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:00:19 time: 0.0445 data_time: 0.0021 memory: 1021 08/28 14:36:07 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:00:19 time: 0.0462 data_time: 0.0020 memory: 1021 08/28 14:36:07 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:00:20 time: 0.0487 data_time: 0.0021 memory: 1021 08/28 14:36:07 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:00:20 time: 0.0470 data_time: 0.0021 memory: 1021 08/28 14:36:08 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:00:18 time: 0.0445 data_time: 0.0020 memory: 1021 08/28 14:36:08 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:00:18 time: 0.0429 data_time: 0.0020 memory: 1021 08/28 14:36:08 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:00:19 time: 0.0472 data_time: 0.0020 memory: 1021 08/28 14:36:08 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:00:19 time: 0.0488 data_time: 0.0021 memory: 1021 08/28 14:36:08 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:00:17 time: 0.0443 data_time: 0.0021 memory: 1021 08/28 14:36:09 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:00:17 time: 0.0429 data_time: 0.0020 memory: 1021 08/28 14:36:09 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:00:16 time: 0.0428 data_time: 0.0020 memory: 1021 08/28 14:36:09 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:00:16 time: 0.0458 data_time: 0.0021 memory: 1021 08/28 14:36:09 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:17 time: 0.0473 data_time: 0.0020 memory: 1021 08/28 14:36:10 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:17 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 14:36:10 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:19 time: 0.0521 data_time: 0.0021 memory: 1021 08/28 14:36:10 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:19 time: 0.0548 data_time: 0.0035 memory: 1021 08/28 14:36:10 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:18 time: 0.0512 data_time: 0.0035 memory: 1021 08/28 14:36:11 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:18 time: 0.0511 data_time: 0.0021 memory: 1021 08/28 14:36:11 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:00:17 time: 0.0496 data_time: 0.0021 memory: 1021 08/28 14:36:11 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:00:17 time: 0.0519 data_time: 0.0021 memory: 1021 08/28 14:36:11 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:16 time: 0.0499 data_time: 0.0020 memory: 1021 08/28 14:36:12 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:16 time: 0.0462 data_time: 0.0020 memory: 1021 08/28 14:36:12 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:17 time: 0.0516 data_time: 0.0020 memory: 1021 08/28 14:36:12 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:17 time: 0.0516 data_time: 0.0022 memory: 1021 08/28 14:36:12 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:15 time: 0.0477 data_time: 0.0023 memory: 1021 08/28 14:36:13 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:15 time: 0.0552 data_time: 0.0033 memory: 1021 08/28 14:36:13 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:18 time: 0.0582 data_time: 0.0034 memory: 1021 08/28 14:36:13 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:18 time: 0.0495 data_time: 0.0023 memory: 1021 08/28 14:36:14 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:15 time: 0.0521 data_time: 0.0021 memory: 1021 08/28 14:36:14 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:15 time: 0.0532 data_time: 0.0022 memory: 1021 08/28 14:36:14 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:00:14 time: 0.0491 data_time: 0.0025 memory: 1021 08/28 14:36:14 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:00:14 time: 0.0538 data_time: 0.0026 memory: 1021 08/28 14:36:15 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:14 time: 0.0530 data_time: 0.0024 memory: 1021 08/28 14:36:15 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:14 time: 0.0532 data_time: 0.0023 memory: 1021 08/28 14:36:15 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:14 time: 0.0551 data_time: 0.0022 memory: 1021 08/28 14:36:15 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:14 time: 0.0551 data_time: 0.0023 memory: 1021 08/28 14:36:16 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:14 time: 0.0565 data_time: 0.0023 memory: 1021 08/28 14:36:16 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:14 time: 0.0534 data_time: 0.0023 memory: 1021 08/28 14:36:16 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:12 time: 0.0512 data_time: 0.0022 memory: 1021 08/28 14:36:16 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:12 time: 0.0544 data_time: 0.0022 memory: 1021 08/28 14:36:17 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:13 time: 0.0544 data_time: 0.0023 memory: 1021 08/28 14:36:17 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:13 time: 0.0519 data_time: 0.0023 memory: 1021 08/28 14:36:17 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:11 time: 0.0520 data_time: 0.0023 memory: 1021 08/28 14:36:18 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:11 time: 0.0565 data_time: 0.0062 memory: 1021 08/28 14:36:18 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:12 time: 0.0569 data_time: 0.0061 memory: 1021 08/28 14:36:18 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:12 time: 0.0497 data_time: 0.0021 memory: 1021 08/28 14:36:18 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:10 time: 0.0508 data_time: 0.0021 memory: 1021 08/28 14:36:19 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:10 time: 0.0495 data_time: 0.0021 memory: 1021 08/28 14:36:19 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:08 time: 0.0445 data_time: 0.0021 memory: 1021 08/28 14:36:19 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:08 time: 0.0465 data_time: 0.0020 memory: 1021 08/28 14:36:19 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:08 time: 0.0469 data_time: 0.0022 memory: 1021 08/28 14:36:19 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:08 time: 0.0507 data_time: 0.0022 memory: 1021 08/28 14:36:20 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:09 time: 0.0528 data_time: 0.0021 memory: 1021 08/28 14:36:21 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:09 time: 0.1533 data_time: 0.0068 memory: 1021 08/28 14:36:21 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:26 time: 0.1532 data_time: 0.0081 memory: 1021 08/28 14:36:21 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:26 time: 0.0469 data_time: 0.0034 memory: 1021 08/28 14:36:22 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:09 time: 0.0586 data_time: 0.0021 memory: 1021 08/28 14:36:22 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:09 time: 0.0589 data_time: 0.0021 memory: 1021 08/28 14:36:22 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:07 time: 0.0490 data_time: 0.0023 memory: 1021 08/28 14:36:23 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:07 time: 0.0492 data_time: 0.0023 memory: 1021 08/28 14:36:23 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:06 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 14:36:23 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:06 time: 0.0466 data_time: 0.0021 memory: 1021 08/28 14:36:23 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:05 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 14:36:23 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:05 time: 0.0435 data_time: 0.0021 memory: 1021 08/28 14:36:24 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:05 time: 0.0480 data_time: 0.0021 memory: 1021 08/28 14:36:24 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:05 time: 0.0471 data_time: 0.0021 memory: 1021 08/28 14:36:24 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:04 time: 0.0437 data_time: 0.0021 memory: 1021 08/28 14:36:24 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:04 time: 0.0437 data_time: 0.0021 memory: 1021 08/28 14:36:25 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:04 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 14:36:25 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:04 time: 0.0499 data_time: 0.0021 memory: 1021 08/28 14:36:25 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:04 time: 0.0554 data_time: 0.0023 memory: 1021 08/28 14:36:25 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:04 time: 0.0524 data_time: 0.0025 memory: 1021 08/28 14:36:26 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:03 time: 0.0458 data_time: 0.0023 memory: 1021 08/28 14:36:26 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:03 time: 0.0463 data_time: 0.0021 memory: 1021 08/28 14:36:26 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:03 time: 0.0510 data_time: 0.0023 memory: 1021 08/28 14:36:26 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:03 time: 0.0510 data_time: 0.0023 memory: 1021 08/28 14:36:27 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:03 time: 0.0519 data_time: 0.0024 memory: 1021 08/28 14:36:27 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:03 time: 0.0534 data_time: 0.0024 memory: 1021 08/28 14:36:27 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:02 time: 0.0507 data_time: 0.0022 memory: 1021 08/28 14:36:27 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:02 time: 0.0503 data_time: 0.0031 memory: 1021 08/28 14:36:28 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:01 time: 0.0467 data_time: 0.0031 memory: 1021 08/28 14:36:28 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:01 time: 0.0430 data_time: 0.0021 memory: 1021 08/28 14:36:28 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:01 time: 0.0450 data_time: 0.0021 memory: 1021 08/28 14:36:28 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:01 time: 0.0444 data_time: 0.0021 memory: 1021 08/28 14:36:29 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:00 time: 0.0439 data_time: 0.0020 memory: 1021 08/28 14:36:29 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:00 time: 0.0454 data_time: 0.0020 memory: 1021 08/28 14:36:29 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0522 data_time: 0.0066 memory: 1021 08/28 14:36:29 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0529 data_time: 0.0066 memory: 1021 08/28 14:36:29 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0439 data_time: 0.0020 memory: 1021 08/28 14:36:29 - mmengine - INFO - Evaluating hmean-iou... 08/28 14:36:30 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7169, precision: 0.5703, hmean: 0.6352 08/28 14:36:30 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7164, precision: 0.7569, hmean: 0.7361 08/28 14:36:30 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7082, precision: 0.8209, hmean: 0.7604 08/28 14:36:30 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6716, precision: 0.8719, hmean: 0.7588 08/28 14:36:30 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5383, precision: 0.9179, hmean: 0.6786 08/28 14:36:30 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.1521, precision: 0.9547, hmean: 0.2625 08/28 14:36:30 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0010, precision: 1.0000, hmean: 0.0019 08/28 14:36:30 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.8209 icdar/recall: 0.7082 icdar/hmean: 0.7604 08/28 14:36:36 - mmengine - INFO - Epoch(train) [41][5/63] lr: 6.7895e-03 eta: 0:00:00 time: 0.9708 data_time: 0.1944 memory: 14974 loss_prob: 1.2546 loss_thr: 0.6359 loss_db: 0.1975 loss: 2.0880 08/28 14:36:40 - mmengine - INFO - Epoch(train) [41][10/63] lr: 6.7895e-03 eta: 23:18:57 time: 0.9279 data_time: 0.1940 memory: 14974 loss_prob: 1.4253 loss_thr: 0.6772 loss_db: 0.2295 loss: 2.3320 08/28 14:36:44 - mmengine - INFO - Epoch(train) [41][15/63] lr: 6.7895e-03 eta: 23:18:57 time: 0.7937 data_time: 0.0918 memory: 14974 loss_prob: 1.4173 loss_thr: 0.6615 loss_db: 0.2281 loss: 2.3069 08/28 14:36:48 - mmengine - INFO - Epoch(train) [41][20/63] lr: 6.7895e-03 eta: 23:17:01 time: 0.7840 data_time: 0.0861 memory: 14974 loss_prob: 1.3422 loss_thr: 0.6600 loss_db: 0.2124 loss: 2.2146 08/28 14:36:52 - mmengine - INFO - Epoch(train) [41][25/63] lr: 6.7895e-03 eta: 23:17:01 time: 0.8068 data_time: 0.0528 memory: 14974 loss_prob: 1.3793 loss_thr: 0.6627 loss_db: 0.2263 loss: 2.2683 08/28 14:36:56 - mmengine - INFO - Epoch(train) [41][30/63] lr: 6.7895e-03 eta: 23:15:28 time: 0.8652 data_time: 0.1124 memory: 14974 loss_prob: 1.4285 loss_thr: 0.6560 loss_db: 0.2374 loss: 2.3219 08/28 14:37:00 - mmengine - INFO - Epoch(train) [41][35/63] lr: 6.7895e-03 eta: 23:15:28 time: 0.8259 data_time: 0.1288 memory: 14974 loss_prob: 1.4337 loss_thr: 0.6838 loss_db: 0.2234 loss: 2.3409 08/28 14:37:04 - mmengine - INFO - Epoch(train) [41][40/63] lr: 6.7895e-03 eta: 23:13:32 time: 0.7785 data_time: 0.0634 memory: 14974 loss_prob: 1.4861 loss_thr: 0.7046 loss_db: 0.2320 loss: 2.4227 08/28 14:37:10 - mmengine - INFO - Epoch(train) [41][45/63] lr: 6.7895e-03 eta: 23:13:32 time: 1.0253 data_time: 0.1081 memory: 14974 loss_prob: 1.6872 loss_thr: 0.6841 loss_db: 0.2725 loss: 2.6437 08/28 14:37:15 - mmengine - INFO - Epoch(train) [41][50/63] lr: 6.7895e-03 eta: 23:13:12 time: 1.1140 data_time: 0.1350 memory: 14974 loss_prob: 1.8516 loss_thr: 0.6942 loss_db: 0.3066 loss: 2.8525 08/28 14:37:19 - mmengine - INFO - Epoch(train) [41][55/63] lr: 6.7895e-03 eta: 23:13:12 time: 0.9064 data_time: 0.1207 memory: 14974 loss_prob: 1.7717 loss_thr: 0.7142 loss_db: 0.2970 loss: 2.7828 08/28 14:37:24 - mmengine - INFO - Epoch(train) [41][60/63] lr: 6.7895e-03 eta: 23:11:42 time: 0.8668 data_time: 0.1154 memory: 14974 loss_prob: 1.5529 loss_thr: 0.7047 loss_db: 0.2533 loss: 2.5108 08/28 14:37:26 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:37:32 - mmengine - INFO - Epoch(train) [42][5/63] lr: 6.7842e-03 eta: 23:11:42 time: 0.9998 data_time: 0.2096 memory: 14974 loss_prob: 1.3407 loss_thr: 0.6456 loss_db: 0.2116 loss: 2.1979 08/28 14:37:36 - mmengine - INFO - Epoch(train) [42][10/63] lr: 6.7842e-03 eta: 23:09:16 time: 1.0228 data_time: 0.2290 memory: 14974 loss_prob: 1.4789 loss_thr: 0.6716 loss_db: 0.2343 loss: 2.3848 08/28 14:37:41 - mmengine - INFO - Epoch(train) [42][15/63] lr: 6.7842e-03 eta: 23:09:16 time: 0.8819 data_time: 0.0825 memory: 14974 loss_prob: 1.4662 loss_thr: 0.6724 loss_db: 0.2369 loss: 2.3755 08/28 14:37:45 - mmengine - INFO - Epoch(train) [42][20/63] lr: 6.7842e-03 eta: 23:07:43 time: 0.8491 data_time: 0.0567 memory: 14974 loss_prob: 1.3663 loss_thr: 0.6705 loss_db: 0.2220 loss: 2.2587 08/28 14:37:49 - mmengine - INFO - Epoch(train) [42][25/63] lr: 6.7842e-03 eta: 23:07:43 time: 0.8059 data_time: 0.0985 memory: 14974 loss_prob: 1.3638 loss_thr: 0.6688 loss_db: 0.2183 loss: 2.2509 08/28 14:37:53 - mmengine - INFO - Epoch(train) [42][30/63] lr: 6.7842e-03 eta: 23:06:01 time: 0.8179 data_time: 0.1031 memory: 14974 loss_prob: 1.4459 loss_thr: 0.6611 loss_db: 0.2283 loss: 2.3353 08/28 14:37:57 - mmengine - INFO - Epoch(train) [42][35/63] lr: 6.7842e-03 eta: 23:06:01 time: 0.7852 data_time: 0.0609 memory: 14974 loss_prob: 1.4965 loss_thr: 0.6839 loss_db: 0.2416 loss: 2.4220 08/28 14:38:01 - mmengine - INFO - Epoch(train) [42][40/63] lr: 6.7842e-03 eta: 23:04:16 time: 0.8032 data_time: 0.0669 memory: 14974 loss_prob: 1.4342 loss_thr: 0.6970 loss_db: 0.2395 loss: 2.3707 08/28 14:38:05 - mmengine - INFO - Epoch(train) [42][45/63] lr: 6.7842e-03 eta: 23:04:16 time: 0.8008 data_time: 0.0699 memory: 14974 loss_prob: 1.4228 loss_thr: 0.6732 loss_db: 0.2321 loss: 2.3281 08/28 14:38:09 - mmengine - INFO - Epoch(train) [42][50/63] lr: 6.7842e-03 eta: 23:02:23 time: 0.7702 data_time: 0.0547 memory: 14974 loss_prob: 1.4369 loss_thr: 0.6669 loss_db: 0.2281 loss: 2.3318 08/28 14:38:13 - mmengine - INFO - Epoch(train) [42][55/63] lr: 6.7842e-03 eta: 23:02:23 time: 0.8218 data_time: 0.1091 memory: 14974 loss_prob: 1.3422 loss_thr: 0.6498 loss_db: 0.2164 loss: 2.2084 08/28 14:38:17 - mmengine - INFO - Epoch(train) [42][60/63] lr: 6.7842e-03 eta: 23:00:51 time: 0.8467 data_time: 0.1284 memory: 14974 loss_prob: 1.3012 loss_thr: 0.6432 loss_db: 0.2126 loss: 2.1571 08/28 14:38:19 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:38:27 - mmengine - INFO - Epoch(train) [43][5/63] lr: 6.7789e-03 eta: 23:00:51 time: 1.0556 data_time: 0.1816 memory: 14974 loss_prob: 1.7806 loss_thr: 0.6939 loss_db: 0.2903 loss: 2.7648 08/28 14:38:31 - mmengine - INFO - Epoch(train) [43][10/63] lr: 6.7789e-03 eta: 22:59:13 time: 1.1704 data_time: 0.2577 memory: 14974 loss_prob: 1.4784 loss_thr: 0.6778 loss_db: 0.2432 loss: 2.3994 08/28 14:38:35 - mmengine - INFO - Epoch(train) [43][15/63] lr: 6.7789e-03 eta: 22:59:13 time: 0.8532 data_time: 0.1302 memory: 14974 loss_prob: 1.3547 loss_thr: 0.6737 loss_db: 0.2229 loss: 2.2513 08/28 14:38:39 - mmengine - INFO - Epoch(train) [43][20/63] lr: 6.7789e-03 eta: 22:57:34 time: 0.8165 data_time: 0.0618 memory: 14974 loss_prob: 1.3105 loss_thr: 0.6377 loss_db: 0.2135 loss: 2.1617 08/28 14:38:45 - mmengine - INFO - Epoch(train) [43][25/63] lr: 6.7789e-03 eta: 22:57:34 time: 0.9697 data_time: 0.1013 memory: 14974 loss_prob: 1.3456 loss_thr: 0.6426 loss_db: 0.2164 loss: 2.2045 08/28 14:38:49 - mmengine - INFO - Epoch(train) [43][30/63] lr: 6.7789e-03 eta: 22:56:28 time: 0.9330 data_time: 0.0854 memory: 14974 loss_prob: 1.4239 loss_thr: 0.6638 loss_db: 0.2278 loss: 2.3155 08/28 14:38:53 - mmengine - INFO - Epoch(train) [43][35/63] lr: 6.7789e-03 eta: 22:56:28 time: 0.8388 data_time: 0.0434 memory: 14974 loss_prob: 1.3528 loss_thr: 0.6533 loss_db: 0.2176 loss: 2.2237 08/28 14:38:57 - mmengine - INFO - Epoch(train) [43][40/63] lr: 6.7789e-03 eta: 22:55:03 time: 0.8583 data_time: 0.0691 memory: 14974 loss_prob: 1.4116 loss_thr: 0.6535 loss_db: 0.2235 loss: 2.2886 08/28 14:39:01 - mmengine - INFO - Epoch(train) [43][45/63] lr: 6.7789e-03 eta: 22:55:03 time: 0.7860 data_time: 0.0714 memory: 14974 loss_prob: 1.4952 loss_thr: 0.6587 loss_db: 0.2370 loss: 2.3909 08/28 14:39:05 - mmengine - INFO - Epoch(train) [43][50/63] lr: 6.7789e-03 eta: 22:53:13 time: 0.7670 data_time: 0.0562 memory: 14974 loss_prob: 1.6127 loss_thr: 0.7072 loss_db: 0.2601 loss: 2.5801 08/28 14:39:09 - mmengine - INFO - Epoch(train) [43][55/63] lr: 6.7789e-03 eta: 22:53:13 time: 0.8290 data_time: 0.1055 memory: 14974 loss_prob: 1.5459 loss_thr: 0.6877 loss_db: 0.2485 loss: 2.4821 08/28 14:39:14 - mmengine - INFO - Epoch(train) [43][60/63] lr: 6.7789e-03 eta: 22:52:06 time: 0.9263 data_time: 0.1175 memory: 14974 loss_prob: 1.2930 loss_thr: 0.6126 loss_db: 0.2054 loss: 2.1111 08/28 14:39:16 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:39:21 - mmengine - INFO - Epoch(train) [44][5/63] lr: 6.7737e-03 eta: 22:52:06 time: 0.8507 data_time: 0.1692 memory: 14974 loss_prob: 1.3095 loss_thr: 0.6298 loss_db: 0.2072 loss: 2.1465 08/28 14:39:26 - mmengine - INFO - Epoch(train) [44][10/63] lr: 6.7737e-03 eta: 22:49:40 time: 0.9774 data_time: 0.2491 memory: 14974 loss_prob: 1.3592 loss_thr: 0.6286 loss_db: 0.2154 loss: 2.2031 08/28 14:39:30 - mmengine - INFO - Epoch(train) [44][15/63] lr: 6.7737e-03 eta: 22:49:40 time: 0.8434 data_time: 0.1206 memory: 14974 loss_prob: 1.4227 loss_thr: 0.6416 loss_db: 0.2319 loss: 2.2962 08/28 14:39:35 - mmengine - INFO - Epoch(train) [44][20/63] lr: 6.7737e-03 eta: 22:48:23 time: 0.8793 data_time: 0.0673 memory: 14974 loss_prob: 1.4730 loss_thr: 0.6853 loss_db: 0.2440 loss: 2.4024 08/28 14:39:40 - mmengine - INFO - Epoch(train) [44][25/63] lr: 6.7737e-03 eta: 22:48:23 time: 1.0513 data_time: 0.1253 memory: 14974 loss_prob: 1.4196 loss_thr: 0.6709 loss_db: 0.2270 loss: 2.3175 08/28 14:39:44 - mmengine - INFO - Epoch(train) [44][30/63] lr: 6.7737e-03 eta: 22:47:21 time: 0.9375 data_time: 0.1150 memory: 14974 loss_prob: 1.3483 loss_thr: 0.6295 loss_db: 0.2162 loss: 2.1939 08/28 14:39:49 - mmengine - INFO - Epoch(train) [44][35/63] lr: 6.7737e-03 eta: 22:47:21 time: 0.8371 data_time: 0.0708 memory: 14974 loss_prob: 1.2907 loss_thr: 0.6082 loss_db: 0.2085 loss: 2.1074 08/28 14:39:53 - mmengine - INFO - Epoch(train) [44][40/63] lr: 6.7737e-03 eta: 22:46:15 time: 0.9207 data_time: 0.1168 memory: 14974 loss_prob: 1.3001 loss_thr: 0.6453 loss_db: 0.2098 loss: 2.1553 08/28 14:39:58 - mmengine - INFO - Epoch(train) [44][45/63] lr: 6.7737e-03 eta: 22:46:15 time: 0.9425 data_time: 0.1011 memory: 14974 loss_prob: 1.2383 loss_thr: 0.6406 loss_db: 0.2029 loss: 2.0817 08/28 14:40:02 - mmengine - INFO - Epoch(train) [44][50/63] lr: 6.7737e-03 eta: 22:45:01 time: 0.8856 data_time: 0.0502 memory: 14974 loss_prob: 1.2009 loss_thr: 0.6037 loss_db: 0.1933 loss: 1.9979 08/28 14:40:06 - mmengine - INFO - Epoch(train) [44][55/63] lr: 6.7737e-03 eta: 22:45:01 time: 0.8498 data_time: 0.0839 memory: 14974 loss_prob: 1.3987 loss_thr: 0.6520 loss_db: 0.2215 loss: 2.2722 08/28 14:40:11 - mmengine - INFO - Epoch(train) [44][60/63] lr: 6.7737e-03 eta: 22:43:35 time: 0.8405 data_time: 0.0828 memory: 14974 loss_prob: 1.4620 loss_thr: 0.6785 loss_db: 0.2342 loss: 2.3747 08/28 14:40:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:40:18 - mmengine - INFO - Epoch(train) [45][5/63] lr: 6.7684e-03 eta: 22:43:35 time: 0.8532 data_time: 0.1640 memory: 14974 loss_prob: 1.4828 loss_thr: 0.6575 loss_db: 0.2336 loss: 2.3738 08/28 14:40:22 - mmengine - INFO - Epoch(train) [45][10/63] lr: 6.7684e-03 eta: 22:41:11 time: 0.9659 data_time: 0.2228 memory: 14974 loss_prob: 1.2641 loss_thr: 0.6397 loss_db: 0.2065 loss: 2.1103 08/28 14:40:26 - mmengine - INFO - Epoch(train) [45][15/63] lr: 6.7684e-03 eta: 22:41:11 time: 0.8266 data_time: 0.0959 memory: 14974 loss_prob: 1.3081 loss_thr: 0.6513 loss_db: 0.2144 loss: 2.1738 08/28 14:40:30 - mmengine - INFO - Epoch(train) [45][20/63] lr: 6.7684e-03 eta: 22:39:22 time: 0.7481 data_time: 0.0354 memory: 14974 loss_prob: 1.5231 loss_thr: 0.6802 loss_db: 0.2442 loss: 2.4474 08/28 14:40:34 - mmengine - INFO - Epoch(train) [45][25/63] lr: 6.7684e-03 eta: 22:39:22 time: 0.8345 data_time: 0.0653 memory: 14974 loss_prob: 1.5245 loss_thr: 0.6771 loss_db: 0.2415 loss: 2.4430 08/28 14:40:38 - mmengine - INFO - Epoch(train) [45][30/63] lr: 6.7684e-03 eta: 22:38:00 time: 0.8453 data_time: 0.0708 memory: 14974 loss_prob: 1.3660 loss_thr: 0.6325 loss_db: 0.2144 loss: 2.2129 08/28 14:40:42 - mmengine - INFO - Epoch(train) [45][35/63] lr: 6.7684e-03 eta: 22:38:00 time: 0.7689 data_time: 0.0557 memory: 14974 loss_prob: 1.3080 loss_thr: 0.6215 loss_db: 0.2081 loss: 2.1376 08/28 14:40:46 - mmengine - INFO - Epoch(train) [45][40/63] lr: 6.7684e-03 eta: 22:36:36 time: 0.8406 data_time: 0.1288 memory: 14974 loss_prob: 1.2723 loss_thr: 0.6335 loss_db: 0.2072 loss: 2.1130 08/28 14:40:51 - mmengine - INFO - Epoch(train) [45][45/63] lr: 6.7684e-03 eta: 22:36:36 time: 0.8611 data_time: 0.1287 memory: 14974 loss_prob: 1.2717 loss_thr: 0.6437 loss_db: 0.2060 loss: 2.1214 08/28 14:40:56 - mmengine - INFO - Epoch(train) [45][50/63] lr: 6.7684e-03 eta: 22:35:38 time: 0.9338 data_time: 0.0714 memory: 14974 loss_prob: 1.2247 loss_thr: 0.6252 loss_db: 0.1975 loss: 2.0474 08/28 14:41:01 - mmengine - INFO - Epoch(train) [45][55/63] lr: 6.7684e-03 eta: 22:35:38 time: 1.0850 data_time: 0.1322 memory: 14974 loss_prob: 1.2558 loss_thr: 0.6103 loss_db: 0.2031 loss: 2.0691 08/28 14:41:05 - mmengine - INFO - Epoch(train) [45][60/63] lr: 6.7684e-03 eta: 22:34:42 time: 0.9459 data_time: 0.1260 memory: 14974 loss_prob: 1.4809 loss_thr: 0.6571 loss_db: 0.2457 loss: 2.3837 08/28 14:41:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:41:13 - mmengine - INFO - Epoch(train) [46][5/63] lr: 6.7631e-03 eta: 22:34:42 time: 0.8917 data_time: 0.1573 memory: 14974 loss_prob: 1.4325 loss_thr: 0.6688 loss_db: 0.2410 loss: 2.3423 08/28 14:41:18 - mmengine - INFO - Epoch(train) [46][10/63] lr: 6.7631e-03 eta: 22:32:56 time: 1.0938 data_time: 0.1981 memory: 14974 loss_prob: 1.4324 loss_thr: 0.6666 loss_db: 0.2325 loss: 2.3315 08/28 14:41:23 - mmengine - INFO - Epoch(train) [46][15/63] lr: 6.7631e-03 eta: 22:32:56 time: 0.9687 data_time: 0.0905 memory: 14974 loss_prob: 1.4456 loss_thr: 0.6626 loss_db: 0.2308 loss: 2.3390 08/28 14:41:27 - mmengine - INFO - Epoch(train) [46][20/63] lr: 6.7631e-03 eta: 22:31:41 time: 0.8655 data_time: 0.0515 memory: 14974 loss_prob: 1.3118 loss_thr: 0.6390 loss_db: 0.2124 loss: 2.1633 08/28 14:41:31 - mmengine - INFO - Epoch(train) [46][25/63] lr: 6.7631e-03 eta: 22:31:41 time: 0.8793 data_time: 0.1051 memory: 14974 loss_prob: 1.2517 loss_thr: 0.6305 loss_db: 0.2033 loss: 2.0855 08/28 14:41:35 - mmengine - INFO - Epoch(train) [46][30/63] lr: 6.7631e-03 eta: 22:30:11 time: 0.8041 data_time: 0.1031 memory: 14974 loss_prob: 1.2898 loss_thr: 0.6532 loss_db: 0.2059 loss: 2.1489 08/28 14:41:39 - mmengine - INFO - Epoch(train) [46][35/63] lr: 6.7631e-03 eta: 22:30:11 time: 0.7572 data_time: 0.0556 memory: 14974 loss_prob: 1.2504 loss_thr: 0.6428 loss_db: 0.1975 loss: 2.0907 08/28 14:41:44 - mmengine - INFO - Epoch(train) [46][40/63] lr: 6.7631e-03 eta: 22:29:11 time: 0.9179 data_time: 0.0980 memory: 14974 loss_prob: 1.3875 loss_thr: 0.6619 loss_db: 0.2220 loss: 2.2713 08/28 14:41:48 - mmengine - INFO - Epoch(train) [46][45/63] lr: 6.7631e-03 eta: 22:29:11 time: 0.9108 data_time: 0.0938 memory: 14974 loss_prob: 1.6039 loss_thr: 0.7002 loss_db: 0.2614 loss: 2.5655 08/28 14:41:52 - mmengine - INFO - Epoch(train) [46][50/63] lr: 6.7631e-03 eta: 22:27:26 time: 0.7421 data_time: 0.0393 memory: 14974 loss_prob: 1.5983 loss_thr: 0.6960 loss_db: 0.2626 loss: 2.5568 08/28 14:41:56 - mmengine - INFO - Epoch(train) [46][55/63] lr: 6.7631e-03 eta: 22:27:26 time: 0.7790 data_time: 0.0685 memory: 14974 loss_prob: 1.5069 loss_thr: 0.6679 loss_db: 0.2444 loss: 2.4192 08/28 14:42:00 - mmengine - INFO - Epoch(train) [46][60/63] lr: 6.7631e-03 eta: 22:25:56 time: 0.7976 data_time: 0.0848 memory: 14974 loss_prob: 1.3776 loss_thr: 0.6370 loss_db: 0.2203 loss: 2.2350 08/28 14:42:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:42:08 - mmengine - INFO - Epoch(train) [47][5/63] lr: 6.7578e-03 eta: 22:25:56 time: 0.9138 data_time: 0.1891 memory: 14974 loss_prob: 1.1642 loss_thr: 0.6282 loss_db: 0.1877 loss: 1.9801 08/28 14:42:12 - mmengine - INFO - Epoch(train) [47][10/63] lr: 6.7578e-03 eta: 22:23:52 time: 1.0078 data_time: 0.2426 memory: 14974 loss_prob: 1.2101 loss_thr: 0.6293 loss_db: 0.1956 loss: 2.0350 08/28 14:42:17 - mmengine - INFO - Epoch(train) [47][15/63] lr: 6.7578e-03 eta: 22:23:52 time: 0.9047 data_time: 0.1111 memory: 14974 loss_prob: 1.2177 loss_thr: 0.6273 loss_db: 0.1941 loss: 2.0390 08/28 14:42:22 - mmengine - INFO - Epoch(train) [47][20/63] lr: 6.7578e-03 eta: 22:23:03 time: 0.9554 data_time: 0.1312 memory: 14974 loss_prob: 1.2087 loss_thr: 0.6327 loss_db: 0.1987 loss: 2.0401 08/28 14:42:26 - mmengine - INFO - Epoch(train) [47][25/63] lr: 6.7578e-03 eta: 22:23:03 time: 0.9687 data_time: 0.1960 memory: 14974 loss_prob: 1.2255 loss_thr: 0.6298 loss_db: 0.1999 loss: 2.0552 08/28 14:42:31 - mmengine - INFO - Epoch(train) [47][30/63] lr: 6.7578e-03 eta: 22:22:08 time: 0.9327 data_time: 0.1342 memory: 14974 loss_prob: 1.2852 loss_thr: 0.6393 loss_db: 0.2023 loss: 2.1269 08/28 14:42:36 - mmengine - INFO - Epoch(train) [47][35/63] lr: 6.7578e-03 eta: 22:22:08 time: 0.9403 data_time: 0.0730 memory: 14974 loss_prob: 1.4007 loss_thr: 0.6844 loss_db: 0.2223 loss: 2.3074 08/28 14:42:40 - mmengine - INFO - Epoch(train) [47][40/63] lr: 6.7578e-03 eta: 22:21:00 time: 0.8770 data_time: 0.0883 memory: 14974 loss_prob: 1.4860 loss_thr: 0.7081 loss_db: 0.2412 loss: 2.4353 08/28 14:42:44 - mmengine - INFO - Epoch(train) [47][45/63] lr: 6.7578e-03 eta: 22:21:00 time: 0.8450 data_time: 0.0886 memory: 14974 loss_prob: 1.3733 loss_thr: 0.6463 loss_db: 0.2200 loss: 2.2397 08/28 14:42:48 - mmengine - INFO - Epoch(train) [47][50/63] lr: 6.7578e-03 eta: 22:19:31 time: 0.7909 data_time: 0.0553 memory: 14974 loss_prob: 1.3993 loss_thr: 0.6168 loss_db: 0.2254 loss: 2.2414 08/28 14:42:52 - mmengine - INFO - Epoch(train) [47][55/63] lr: 6.7578e-03 eta: 22:19:31 time: 0.8090 data_time: 0.0976 memory: 14974 loss_prob: 1.5200 loss_thr: 0.6777 loss_db: 0.2443 loss: 2.4420 08/28 14:42:56 - mmengine - INFO - Epoch(train) [47][60/63] lr: 6.7578e-03 eta: 22:18:10 time: 0.8236 data_time: 0.1055 memory: 14974 loss_prob: 1.7241 loss_thr: 0.7126 loss_db: 0.2640 loss: 2.7006 08/28 14:42:58 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:43:03 - mmengine - INFO - Epoch(train) [48][5/63] lr: 6.7526e-03 eta: 22:18:10 time: 0.8644 data_time: 0.1848 memory: 14974 loss_prob: 1.6546 loss_thr: 0.6615 loss_db: 0.2569 loss: 2.5730 08/28 14:43:07 - mmengine - INFO - Epoch(train) [48][10/63] lr: 6.7526e-03 eta: 22:15:48 time: 0.9123 data_time: 0.1977 memory: 14974 loss_prob: 1.5989 loss_thr: 0.6645 loss_db: 0.2518 loss: 2.5152 08/28 14:43:11 - mmengine - INFO - Epoch(train) [48][15/63] lr: 6.7526e-03 eta: 22:15:48 time: 0.7988 data_time: 0.0616 memory: 14974 loss_prob: 1.6006 loss_thr: 0.6486 loss_db: 0.2567 loss: 2.5059 08/28 14:43:15 - mmengine - INFO - Epoch(train) [48][20/63] lr: 6.7526e-03 eta: 22:14:26 time: 0.8121 data_time: 0.0403 memory: 14974 loss_prob: 1.3898 loss_thr: 0.6370 loss_db: 0.2199 loss: 2.2467 08/28 14:43:20 - mmengine - INFO - Epoch(train) [48][25/63] lr: 6.7526e-03 eta: 22:14:26 time: 0.8761 data_time: 0.1282 memory: 14974 loss_prob: 1.3388 loss_thr: 0.6661 loss_db: 0.2096 loss: 2.2145 08/28 14:43:24 - mmengine - INFO - Epoch(train) [48][30/63] lr: 6.7526e-03 eta: 22:13:15 time: 0.8549 data_time: 0.1305 memory: 14974 loss_prob: 1.2773 loss_thr: 0.6579 loss_db: 0.2035 loss: 2.1387 08/28 14:43:28 - mmengine - INFO - Epoch(train) [48][35/63] lr: 6.7526e-03 eta: 22:13:15 time: 0.8059 data_time: 0.0821 memory: 14974 loss_prob: 1.3154 loss_thr: 0.6486 loss_db: 0.2123 loss: 2.1763 08/28 14:43:33 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:43:34 - mmengine - INFO - Epoch(train) [48][40/63] lr: 6.7526e-03 eta: 22:12:30 time: 0.9633 data_time: 0.1440 memory: 14974 loss_prob: 1.4187 loss_thr: 0.6617 loss_db: 0.2292 loss: 2.3097 08/28 14:43:38 - mmengine - INFO - Epoch(train) [48][45/63] lr: 6.7526e-03 eta: 22:12:30 time: 1.0063 data_time: 0.1242 memory: 14974 loss_prob: 1.4053 loss_thr: 0.6588 loss_db: 0.2257 loss: 2.2899 08/28 14:43:43 - mmengine - INFO - Epoch(train) [48][50/63] lr: 6.7526e-03 eta: 22:11:28 time: 0.8888 data_time: 0.1122 memory: 14974 loss_prob: 1.3403 loss_thr: 0.6471 loss_db: 0.2165 loss: 2.2039 08/28 14:43:47 - mmengine - INFO - Epoch(train) [48][55/63] lr: 6.7526e-03 eta: 22:11:28 time: 0.8310 data_time: 0.1223 memory: 14974 loss_prob: 1.3304 loss_thr: 0.6619 loss_db: 0.2155 loss: 2.2078 08/28 14:43:50 - mmengine - INFO - Epoch(train) [48][60/63] lr: 6.7526e-03 eta: 22:10:02 time: 0.7873 data_time: 0.0751 memory: 14974 loss_prob: 1.5094 loss_thr: 0.6766 loss_db: 0.2491 loss: 2.4351 08/28 14:43:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:44:00 - mmengine - INFO - Epoch(train) [49][5/63] lr: 6.7473e-03 eta: 22:10:02 time: 1.1352 data_time: 0.2565 memory: 14974 loss_prob: 1.7983 loss_thr: 0.7413 loss_db: 0.3019 loss: 2.8415 08/28 14:44:05 - mmengine - INFO - Epoch(train) [49][10/63] lr: 6.7473e-03 eta: 22:08:06 time: 1.0059 data_time: 0.2176 memory: 14974 loss_prob: 1.6745 loss_thr: 0.7055 loss_db: 0.2767 loss: 2.6567 08/28 14:44:10 - mmengine - INFO - Epoch(train) [49][15/63] lr: 6.7473e-03 eta: 22:08:06 time: 0.9167 data_time: 0.0692 memory: 14974 loss_prob: 1.3934 loss_thr: 0.6820 loss_db: 0.2279 loss: 2.3033 08/28 14:44:13 - mmengine - INFO - Epoch(train) [49][20/63] lr: 6.7473e-03 eta: 22:07:06 time: 0.8921 data_time: 0.0680 memory: 14974 loss_prob: 1.3001 loss_thr: 0.6509 loss_db: 0.2147 loss: 2.1657 08/28 14:44:17 - mmengine - INFO - Epoch(train) [49][25/63] lr: 6.7473e-03 eta: 22:07:06 time: 0.7972 data_time: 0.0783 memory: 14974 loss_prob: 1.3003 loss_thr: 0.6373 loss_db: 0.2174 loss: 2.1550 08/28 14:44:22 - mmengine - INFO - Epoch(train) [49][30/63] lr: 6.7473e-03 eta: 22:05:50 time: 0.8242 data_time: 0.0990 memory: 14974 loss_prob: 1.2853 loss_thr: 0.6425 loss_db: 0.2123 loss: 2.1401 08/28 14:44:25 - mmengine - INFO - Epoch(train) [49][35/63] lr: 6.7473e-03 eta: 22:05:50 time: 0.7987 data_time: 0.0804 memory: 14974 loss_prob: 1.2821 loss_thr: 0.6242 loss_db: 0.2094 loss: 2.1157 08/28 14:44:29 - mmengine - INFO - Epoch(train) [49][40/63] lr: 6.7473e-03 eta: 22:04:18 time: 0.7545 data_time: 0.0464 memory: 14974 loss_prob: 1.4015 loss_thr: 0.6454 loss_db: 0.2262 loss: 2.2731 08/28 14:44:34 - mmengine - INFO - Epoch(train) [49][45/63] lr: 6.7473e-03 eta: 22:04:18 time: 0.8103 data_time: 0.0960 memory: 14974 loss_prob: 1.3750 loss_thr: 0.6330 loss_db: 0.2233 loss: 2.2312 08/28 14:44:37 - mmengine - INFO - Epoch(train) [49][50/63] lr: 6.7473e-03 eta: 22:03:03 time: 0.8222 data_time: 0.1108 memory: 14974 loss_prob: 1.3055 loss_thr: 0.6234 loss_db: 0.2163 loss: 2.1452 08/28 14:44:42 - mmengine - INFO - Epoch(train) [49][55/63] lr: 6.7473e-03 eta: 22:03:03 time: 0.8300 data_time: 0.0781 memory: 14974 loss_prob: 1.2786 loss_thr: 0.6486 loss_db: 0.2100 loss: 2.1372 08/28 14:44:46 - mmengine - INFO - Epoch(train) [49][60/63] lr: 6.7473e-03 eta: 22:02:02 time: 0.8811 data_time: 0.1302 memory: 14974 loss_prob: 1.3013 loss_thr: 0.6538 loss_db: 0.2060 loss: 2.1611 08/28 14:44:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:44:55 - mmengine - INFO - Epoch(train) [50][5/63] lr: 6.7420e-03 eta: 22:02:02 time: 1.0009 data_time: 0.1906 memory: 14974 loss_prob: 1.1888 loss_thr: 0.6228 loss_db: 0.1894 loss: 2.0011 08/28 14:45:00 - mmengine - INFO - Epoch(train) [50][10/63] lr: 6.7420e-03 eta: 22:00:24 time: 1.0659 data_time: 0.2530 memory: 14974 loss_prob: 1.2056 loss_thr: 0.6305 loss_db: 0.1941 loss: 2.0302 08/28 14:45:04 - mmengine - INFO - Epoch(train) [50][15/63] lr: 6.7420e-03 eta: 22:00:24 time: 0.9048 data_time: 0.1272 memory: 14974 loss_prob: 1.2738 loss_thr: 0.6229 loss_db: 0.2032 loss: 2.0999 08/28 14:45:08 - mmengine - INFO - Epoch(train) [50][20/63] lr: 6.7420e-03 eta: 21:59:22 time: 0.8740 data_time: 0.0639 memory: 14974 loss_prob: 1.3351 loss_thr: 0.6208 loss_db: 0.2135 loss: 2.1695 08/28 14:45:13 - mmengine - INFO - Epoch(train) [50][25/63] lr: 6.7420e-03 eta: 21:59:22 time: 0.9166 data_time: 0.0968 memory: 14974 loss_prob: 1.4038 loss_thr: 0.6249 loss_db: 0.2252 loss: 2.2540 08/28 14:45:17 - mmengine - INFO - Epoch(train) [50][30/63] lr: 6.7420e-03 eta: 21:58:19 time: 0.8698 data_time: 0.0890 memory: 14974 loss_prob: 1.4024 loss_thr: 0.6253 loss_db: 0.2250 loss: 2.2528 08/28 14:45:21 - mmengine - INFO - Epoch(train) [50][35/63] lr: 6.7420e-03 eta: 21:58:19 time: 0.7980 data_time: 0.0545 memory: 14974 loss_prob: 1.3420 loss_thr: 0.6440 loss_db: 0.2108 loss: 2.1968 08/28 14:45:25 - mmengine - INFO - Epoch(train) [50][40/63] lr: 6.7420e-03 eta: 21:57:06 time: 0.8232 data_time: 0.0746 memory: 14974 loss_prob: 1.2717 loss_thr: 0.6429 loss_db: 0.1990 loss: 2.1136 08/28 14:45:29 - mmengine - INFO - Epoch(train) [50][45/63] lr: 6.7420e-03 eta: 21:57:06 time: 0.7989 data_time: 0.0804 memory: 14974 loss_prob: 1.3161 loss_thr: 0.6338 loss_db: 0.2078 loss: 2.1578 08/28 14:45:33 - mmengine - INFO - Epoch(train) [50][50/63] lr: 6.7420e-03 eta: 21:55:55 time: 0.8274 data_time: 0.0642 memory: 14974 loss_prob: 1.4643 loss_thr: 0.6422 loss_db: 0.2355 loss: 2.3420 08/28 14:45:38 - mmengine - INFO - Epoch(train) [50][55/63] lr: 6.7420e-03 eta: 21:55:55 time: 0.8562 data_time: 0.0955 memory: 14974 loss_prob: 1.4625 loss_thr: 0.6704 loss_db: 0.2413 loss: 2.3741 08/28 14:45:42 - mmengine - INFO - Epoch(train) [50][60/63] lr: 6.7420e-03 eta: 21:54:43 time: 0.8248 data_time: 0.0859 memory: 14974 loss_prob: 1.3310 loss_thr: 0.6558 loss_db: 0.2181 loss: 2.2048 08/28 14:45:44 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:45:49 - mmengine - INFO - Epoch(train) [51][5/63] lr: 6.7367e-03 eta: 21:54:43 time: 0.9113 data_time: 0.1846 memory: 14974 loss_prob: 1.3178 loss_thr: 0.6911 loss_db: 0.2119 loss: 2.2208 08/28 14:45:53 - mmengine - INFO - Epoch(train) [51][10/63] lr: 6.7367e-03 eta: 21:52:39 time: 0.9388 data_time: 0.2196 memory: 14974 loss_prob: 1.3421 loss_thr: 0.6601 loss_db: 0.2161 loss: 2.2183 08/28 14:45:57 - mmengine - INFO - Epoch(train) [51][15/63] lr: 6.7367e-03 eta: 21:52:39 time: 0.8075 data_time: 0.0991 memory: 14974 loss_prob: 1.3334 loss_thr: 0.6419 loss_db: 0.2151 loss: 2.1904 08/28 14:46:02 - mmengine - INFO - Epoch(train) [51][20/63] lr: 6.7367e-03 eta: 21:51:28 time: 0.8240 data_time: 0.0660 memory: 14974 loss_prob: 1.5373 loss_thr: 0.6603 loss_db: 0.2434 loss: 2.4409 08/28 14:46:07 - mmengine - INFO - Epoch(train) [51][25/63] lr: 6.7367e-03 eta: 21:51:28 time: 1.0206 data_time: 0.1407 memory: 14974 loss_prob: 1.6144 loss_thr: 0.6858 loss_db: 0.2568 loss: 2.5570 08/28 14:46:12 - mmengine - INFO - Epoch(train) [51][30/63] lr: 6.7367e-03 eta: 21:51:11 time: 1.0597 data_time: 0.1411 memory: 14974 loss_prob: 1.3921 loss_thr: 0.6665 loss_db: 0.2272 loss: 2.2859 08/28 14:46:17 - mmengine - INFO - Epoch(train) [51][35/63] lr: 6.7367e-03 eta: 21:51:11 time: 0.9306 data_time: 0.1290 memory: 14974 loss_prob: 1.3918 loss_thr: 0.6603 loss_db: 0.2313 loss: 2.2834 08/28 14:46:20 - mmengine - INFO - Epoch(train) [51][40/63] lr: 6.7367e-03 eta: 21:50:02 time: 0.8276 data_time: 0.1219 memory: 14974 loss_prob: 1.3298 loss_thr: 0.6551 loss_db: 0.2123 loss: 2.1972 08/28 14:46:26 - mmengine - INFO - Epoch(train) [51][45/63] lr: 6.7367e-03 eta: 21:50:02 time: 0.9640 data_time: 0.0684 memory: 14974 loss_prob: 1.2759 loss_thr: 0.6570 loss_db: 0.2028 loss: 2.1356 08/28 14:46:31 - mmengine - INFO - Epoch(train) [51][50/63] lr: 6.7367e-03 eta: 21:49:44 time: 1.0566 data_time: 0.1072 memory: 14974 loss_prob: 1.3484 loss_thr: 0.6764 loss_db: 0.2208 loss: 2.2456 08/28 14:46:35 - mmengine - INFO - Epoch(train) [51][55/63] lr: 6.7367e-03 eta: 21:49:44 time: 0.8467 data_time: 0.0888 memory: 14974 loss_prob: 1.3197 loss_thr: 0.6648 loss_db: 0.2172 loss: 2.2017 08/28 14:46:39 - mmengine - INFO - Epoch(train) [51][60/63] lr: 6.7367e-03 eta: 21:48:37 time: 0.8325 data_time: 0.0479 memory: 14974 loss_prob: 1.1863 loss_thr: 0.6363 loss_db: 0.1934 loss: 2.0160 08/28 14:46:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:46:47 - mmengine - INFO - Epoch(train) [52][5/63] lr: 6.7315e-03 eta: 21:48:37 time: 0.9811 data_time: 0.2399 memory: 14974 loss_prob: 1.8551 loss_thr: 0.6954 loss_db: 0.3140 loss: 2.8646 08/28 14:46:51 - mmengine - INFO - Epoch(train) [52][10/63] lr: 6.7315e-03 eta: 21:46:32 time: 0.9201 data_time: 0.2018 memory: 14974 loss_prob: 2.2758 loss_thr: 0.7353 loss_db: 0.3811 loss: 3.3922 08/28 14:46:55 - mmengine - INFO - Epoch(train) [52][15/63] lr: 6.7315e-03 eta: 21:46:32 time: 0.8089 data_time: 0.0849 memory: 14974 loss_prob: 2.1199 loss_thr: 0.7406 loss_db: 0.3478 loss: 3.2084 08/28 14:46:59 - mmengine - INFO - Epoch(train) [52][20/63] lr: 6.7315e-03 eta: 21:45:14 time: 0.7817 data_time: 0.0672 memory: 14974 loss_prob: 1.9527 loss_thr: 0.7320 loss_db: 0.3249 loss: 3.0096 08/28 14:47:03 - mmengine - INFO - Epoch(train) [52][25/63] lr: 6.7315e-03 eta: 21:45:14 time: 0.7468 data_time: 0.0449 memory: 14974 loss_prob: 1.8272 loss_thr: 0.7471 loss_db: 0.2981 loss: 2.8724 08/28 14:47:07 - mmengine - INFO - Epoch(train) [52][30/63] lr: 6.7315e-03 eta: 21:44:00 time: 0.7999 data_time: 0.0673 memory: 14974 loss_prob: 1.5991 loss_thr: 0.7284 loss_db: 0.2551 loss: 2.5826 08/28 14:47:11 - mmengine - INFO - Epoch(train) [52][35/63] lr: 6.7315e-03 eta: 21:44:00 time: 0.8068 data_time: 0.0781 memory: 14974 loss_prob: 1.4702 loss_thr: 0.6920 loss_db: 0.2336 loss: 2.3958 08/28 14:47:15 - mmengine - INFO - Epoch(train) [52][40/63] lr: 6.7315e-03 eta: 21:42:45 time: 0.7891 data_time: 0.0698 memory: 14974 loss_prob: 1.4593 loss_thr: 0.6585 loss_db: 0.2330 loss: 2.3507 08/28 14:47:19 - mmengine - INFO - Epoch(train) [52][45/63] lr: 6.7315e-03 eta: 21:42:45 time: 0.8532 data_time: 0.1331 memory: 14974 loss_prob: 1.6294 loss_thr: 0.6836 loss_db: 0.2693 loss: 2.5822 08/28 14:47:24 - mmengine - INFO - Epoch(train) [52][50/63] lr: 6.7315e-03 eta: 21:41:55 time: 0.9048 data_time: 0.1319 memory: 14974 loss_prob: 1.5815 loss_thr: 0.6879 loss_db: 0.2616 loss: 2.5310 08/28 14:47:29 - mmengine - INFO - Epoch(train) [52][55/63] lr: 6.7315e-03 eta: 21:41:55 time: 0.9882 data_time: 0.0709 memory: 14974 loss_prob: 1.4689 loss_thr: 0.6733 loss_db: 0.2392 loss: 2.3814 08/28 14:47:34 - mmengine - INFO - Epoch(train) [52][60/63] lr: 6.7315e-03 eta: 21:41:30 time: 1.0179 data_time: 0.1392 memory: 14974 loss_prob: 1.5049 loss_thr: 0.6926 loss_db: 0.2423 loss: 2.4398 08/28 14:47:36 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:47:42 - mmengine - INFO - Epoch(train) [53][5/63] lr: 6.7262e-03 eta: 21:41:30 time: 0.9193 data_time: 0.1789 memory: 14974 loss_prob: 1.3628 loss_thr: 0.6633 loss_db: 0.2181 loss: 2.2442 08/28 14:47:47 - mmengine - INFO - Epoch(train) [53][10/63] lr: 6.7262e-03 eta: 21:40:06 time: 1.0842 data_time: 0.2185 memory: 14974 loss_prob: 1.4559 loss_thr: 0.6526 loss_db: 0.2353 loss: 2.3438 08/28 14:47:51 - mmengine - INFO - Epoch(train) [53][15/63] lr: 6.7262e-03 eta: 21:40:06 time: 0.9068 data_time: 0.0893 memory: 14974 loss_prob: 1.3637 loss_thr: 0.6322 loss_db: 0.2188 loss: 2.2147 08/28 14:47:56 - mmengine - INFO - Epoch(train) [53][20/63] lr: 6.7262e-03 eta: 21:39:21 time: 0.9227 data_time: 0.0492 memory: 14974 loss_prob: 1.3336 loss_thr: 0.6503 loss_db: 0.2166 loss: 2.2004 08/28 14:48:00 - mmengine - INFO - Epoch(train) [53][25/63] lr: 6.7262e-03 eta: 21:39:21 time: 0.9490 data_time: 0.0754 memory: 14974 loss_prob: 1.4603 loss_thr: 0.6583 loss_db: 0.2431 loss: 2.3617 08/28 14:48:05 - mmengine - INFO - Epoch(train) [53][30/63] lr: 6.7262e-03 eta: 21:38:19 time: 0.8455 data_time: 0.0796 memory: 14974 loss_prob: 1.3756 loss_thr: 0.6236 loss_db: 0.2205 loss: 2.2197 08/28 14:48:08 - mmengine - INFO - Epoch(train) [53][35/63] lr: 6.7262e-03 eta: 21:38:19 time: 0.8326 data_time: 0.0604 memory: 14974 loss_prob: 1.4114 loss_thr: 0.6338 loss_db: 0.2272 loss: 2.2724 08/28 14:48:13 - mmengine - INFO - Epoch(train) [53][40/63] lr: 6.7262e-03 eta: 21:37:12 time: 0.8184 data_time: 0.1022 memory: 14974 loss_prob: 1.4785 loss_thr: 0.6723 loss_db: 0.2425 loss: 2.3933 08/28 14:48:17 - mmengine - INFO - Epoch(train) [53][45/63] lr: 6.7262e-03 eta: 21:37:12 time: 0.8083 data_time: 0.0969 memory: 14974 loss_prob: 1.4007 loss_thr: 0.6774 loss_db: 0.2228 loss: 2.3008 08/28 14:48:20 - mmengine - INFO - Epoch(train) [53][50/63] lr: 6.7262e-03 eta: 21:35:52 time: 0.7598 data_time: 0.0390 memory: 14974 loss_prob: 1.3622 loss_thr: 0.6688 loss_db: 0.2206 loss: 2.2516 08/28 14:48:25 - mmengine - INFO - Epoch(train) [53][55/63] lr: 6.7262e-03 eta: 21:35:52 time: 0.8130 data_time: 0.0953 memory: 14974 loss_prob: 1.3771 loss_thr: 0.6607 loss_db: 0.2239 loss: 2.2616 08/28 14:48:28 - mmengine - INFO - Epoch(train) [53][60/63] lr: 6.7262e-03 eta: 21:34:43 time: 0.8050 data_time: 0.1107 memory: 14974 loss_prob: 1.4257 loss_thr: 0.6498 loss_db: 0.2386 loss: 2.3140 08/28 14:48:31 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:48:36 - mmengine - INFO - Epoch(train) [54][5/63] lr: 6.7209e-03 eta: 21:34:43 time: 0.8751 data_time: 0.1792 memory: 14974 loss_prob: 1.4128 loss_thr: 0.6652 loss_db: 0.2391 loss: 2.3171 08/28 14:48:41 - mmengine - INFO - Epoch(train) [54][10/63] lr: 6.7209e-03 eta: 21:33:07 time: 1.0162 data_time: 0.2446 memory: 14974 loss_prob: 1.4380 loss_thr: 0.6765 loss_db: 0.2352 loss: 2.3498 08/28 14:48:46 - mmengine - INFO - Epoch(train) [54][15/63] lr: 6.7209e-03 eta: 21:33:07 time: 1.0343 data_time: 0.1301 memory: 14974 loss_prob: 1.4022 loss_thr: 0.6416 loss_db: 0.2253 loss: 2.2690 08/28 14:48:51 - mmengine - INFO - Epoch(train) [54][20/63] lr: 6.7209e-03 eta: 21:32:35 time: 0.9770 data_time: 0.1202 memory: 14974 loss_prob: 1.3439 loss_thr: 0.6367 loss_db: 0.2168 loss: 2.1975 08/28 14:48:55 - mmengine - INFO - Epoch(train) [54][25/63] lr: 6.7209e-03 eta: 21:32:35 time: 0.8422 data_time: 0.1167 memory: 14974 loss_prob: 1.2911 loss_thr: 0.6425 loss_db: 0.2099 loss: 2.1436 08/28 14:48:58 - mmengine - INFO - Epoch(train) [54][30/63] lr: 6.7209e-03 eta: 21:31:22 time: 0.7828 data_time: 0.0627 memory: 14974 loss_prob: 1.3800 loss_thr: 0.6515 loss_db: 0.2247 loss: 2.2563 08/28 14:49:04 - mmengine - INFO - Epoch(train) [54][35/63] lr: 6.7209e-03 eta: 21:31:22 time: 0.9355 data_time: 0.0949 memory: 14974 loss_prob: 1.5230 loss_thr: 0.6508 loss_db: 0.2490 loss: 2.4228 08/28 14:49:08 - mmengine - INFO - Epoch(train) [54][40/63] lr: 6.7209e-03 eta: 21:30:46 time: 0.9557 data_time: 0.0842 memory: 14974 loss_prob: 1.4961 loss_thr: 0.6615 loss_db: 0.2427 loss: 2.4003 08/28 14:49:13 - mmengine - INFO - Epoch(train) [54][45/63] lr: 6.7209e-03 eta: 21:30:46 time: 0.9219 data_time: 0.0471 memory: 14974 loss_prob: 1.5402 loss_thr: 0.7014 loss_db: 0.2492 loss: 2.4907 08/28 14:49:17 - mmengine - INFO - Epoch(train) [54][50/63] lr: 6.7209e-03 eta: 21:30:06 time: 0.9342 data_time: 0.0783 memory: 14974 loss_prob: 1.5944 loss_thr: 0.7025 loss_db: 0.2620 loss: 2.5589 08/28 14:49:21 - mmengine - INFO - Epoch(train) [54][55/63] lr: 6.7209e-03 eta: 21:30:06 time: 0.7968 data_time: 0.0820 memory: 14974 loss_prob: 1.4936 loss_thr: 0.6600 loss_db: 0.2470 loss: 2.4006 08/28 14:49:25 - mmengine - INFO - Epoch(train) [54][60/63] lr: 6.7209e-03 eta: 21:28:52 time: 0.7729 data_time: 0.0536 memory: 14974 loss_prob: 1.3351 loss_thr: 0.6176 loss_db: 0.2180 loss: 2.1706 08/28 14:49:28 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:49:33 - mmengine - INFO - Epoch(train) [55][5/63] lr: 6.7156e-03 eta: 21:28:52 time: 0.8873 data_time: 0.2074 memory: 14974 loss_prob: 1.4064 loss_thr: 0.6418 loss_db: 0.2331 loss: 2.2813 08/28 14:49:36 - mmengine - INFO - Epoch(train) [55][10/63] lr: 6.7156e-03 eta: 21:26:50 time: 0.8804 data_time: 0.1515 memory: 14974 loss_prob: 1.3234 loss_thr: 0.6053 loss_db: 0.2140 loss: 2.1427 08/28 14:49:41 - mmengine - INFO - Epoch(train) [55][15/63] lr: 6.7156e-03 eta: 21:26:50 time: 0.8445 data_time: 0.0690 memory: 14974 loss_prob: 1.3410 loss_thr: 0.6289 loss_db: 0.2124 loss: 2.1824 08/28 14:49:45 - mmengine - INFO - Epoch(train) [55][20/63] lr: 6.7156e-03 eta: 21:25:53 time: 0.8536 data_time: 0.0799 memory: 14974 loss_prob: 1.4126 loss_thr: 0.6779 loss_db: 0.2297 loss: 2.3202 08/28 14:49:49 - mmengine - INFO - Epoch(train) [55][25/63] lr: 6.7156e-03 eta: 21:25:53 time: 0.7816 data_time: 0.0704 memory: 14974 loss_prob: 1.4711 loss_thr: 0.6906 loss_db: 0.2388 loss: 2.4006 08/28 14:49:54 - mmengine - INFO - Epoch(train) [55][30/63] lr: 6.7156e-03 eta: 21:25:04 time: 0.8826 data_time: 0.1316 memory: 14974 loss_prob: 1.3790 loss_thr: 0.6605 loss_db: 0.2187 loss: 2.2583 08/28 14:49:58 - mmengine - INFO - Epoch(train) [55][35/63] lr: 6.7156e-03 eta: 21:25:04 time: 0.8879 data_time: 0.1316 memory: 14974 loss_prob: 1.2783 loss_thr: 0.6425 loss_db: 0.2077 loss: 2.1284 08/28 14:50:02 - mmengine - INFO - Epoch(train) [55][40/63] lr: 6.7156e-03 eta: 21:24:05 time: 0.8414 data_time: 0.0704 memory: 14974 loss_prob: 1.2873 loss_thr: 0.6518 loss_db: 0.2076 loss: 2.1467 08/28 14:50:07 - mmengine - INFO - Epoch(train) [55][45/63] lr: 6.7156e-03 eta: 21:24:05 time: 0.9307 data_time: 0.1356 memory: 14974 loss_prob: 1.2979 loss_thr: 0.6208 loss_db: 0.2076 loss: 2.1264 08/28 14:50:11 - mmengine - INFO - Epoch(train) [55][50/63] lr: 6.7156e-03 eta: 21:23:12 time: 0.8648 data_time: 0.1361 memory: 14974 loss_prob: 1.2242 loss_thr: 0.5913 loss_db: 0.1944 loss: 2.0098 08/28 14:50:15 - mmengine - INFO - Epoch(train) [55][55/63] lr: 6.7156e-03 eta: 21:23:12 time: 0.8212 data_time: 0.0676 memory: 14974 loss_prob: 1.1913 loss_thr: 0.6174 loss_db: 0.1904 loss: 1.9992 08/28 14:50:20 - mmengine - INFO - Epoch(train) [55][60/63] lr: 6.7156e-03 eta: 21:22:38 time: 0.9553 data_time: 0.1337 memory: 14974 loss_prob: 1.3059 loss_thr: 0.6513 loss_db: 0.2147 loss: 2.1720 08/28 14:50:23 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:50:28 - mmengine - INFO - Epoch(train) [56][5/63] lr: 6.7103e-03 eta: 21:22:38 time: 0.9833 data_time: 0.1662 memory: 14974 loss_prob: 1.4129 loss_thr: 0.6523 loss_db: 0.2240 loss: 2.2891 08/28 14:50:33 - mmengine - INFO - Epoch(train) [56][10/63] lr: 6.7103e-03 eta: 21:21:09 time: 1.0259 data_time: 0.2170 memory: 14974 loss_prob: 1.6240 loss_thr: 0.6716 loss_db: 0.2640 loss: 2.5595 08/28 14:50:37 - mmengine - INFO - Epoch(train) [56][15/63] lr: 6.7103e-03 eta: 21:21:09 time: 0.8803 data_time: 0.0898 memory: 14974 loss_prob: 1.5386 loss_thr: 0.6604 loss_db: 0.2558 loss: 2.4549 08/28 14:50:41 - mmengine - INFO - Epoch(train) [56][20/63] lr: 6.7103e-03 eta: 21:19:57 time: 0.7689 data_time: 0.0500 memory: 14974 loss_prob: 1.4314 loss_thr: 0.6521 loss_db: 0.2346 loss: 2.3181 08/28 14:50:45 - mmengine - INFO - Epoch(train) [56][25/63] lr: 6.7103e-03 eta: 21:19:57 time: 0.8302 data_time: 0.1140 memory: 14974 loss_prob: 1.4232 loss_thr: 0.6617 loss_db: 0.2315 loss: 2.3165 08/28 14:50:49 - mmengine - INFO - Epoch(train) [56][30/63] lr: 6.7103e-03 eta: 21:18:57 time: 0.8237 data_time: 0.1062 memory: 14974 loss_prob: 1.3380 loss_thr: 0.6606 loss_db: 0.2149 loss: 2.2135 08/28 14:50:54 - mmengine - INFO - Epoch(train) [56][35/63] lr: 6.7103e-03 eta: 21:18:57 time: 0.8392 data_time: 0.0452 memory: 14974 loss_prob: 1.3548 loss_thr: 0.6329 loss_db: 0.2178 loss: 2.2054 08/28 14:50:58 - mmengine - INFO - Epoch(train) [56][40/63] lr: 6.7103e-03 eta: 21:18:03 time: 0.8528 data_time: 0.0652 memory: 14974 loss_prob: 1.2632 loss_thr: 0.6007 loss_db: 0.2013 loss: 2.0652 08/28 14:51:02 - mmengine - INFO - Epoch(train) [56][45/63] lr: 6.7103e-03 eta: 21:18:03 time: 0.7890 data_time: 0.0768 memory: 14974 loss_prob: 1.1755 loss_thr: 0.5866 loss_db: 0.1872 loss: 1.9493 08/28 14:51:06 - mmengine - INFO - Epoch(train) [56][50/63] lr: 6.7103e-03 eta: 21:16:56 time: 0.7882 data_time: 0.0832 memory: 14974 loss_prob: 1.3585 loss_thr: 0.6318 loss_db: 0.2129 loss: 2.2032 08/28 14:51:10 - mmengine - INFO - Epoch(train) [56][55/63] lr: 6.7103e-03 eta: 21:16:56 time: 0.8506 data_time: 0.1312 memory: 14974 loss_prob: 1.3343 loss_thr: 0.6415 loss_db: 0.2100 loss: 2.1858 08/28 14:51:15 - mmengine - INFO - Epoch(train) [56][60/63] lr: 6.7103e-03 eta: 21:16:17 time: 0.9231 data_time: 0.1218 memory: 14974 loss_prob: 1.3496 loss_thr: 0.6620 loss_db: 0.2200 loss: 2.2316 08/28 14:51:17 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:51:23 - mmengine - INFO - Epoch(train) [57][5/63] lr: 6.7051e-03 eta: 21:16:17 time: 0.9531 data_time: 0.1967 memory: 14974 loss_prob: 1.1491 loss_thr: 0.6131 loss_db: 0.1849 loss: 1.9471 08/28 14:51:28 - mmengine - INFO - Epoch(train) [57][10/63] lr: 6.7051e-03 eta: 21:14:47 time: 1.0072 data_time: 0.2677 memory: 14974 loss_prob: 1.1400 loss_thr: 0.6121 loss_db: 0.1844 loss: 1.9366 08/28 14:51:32 - mmengine - INFO - Epoch(train) [57][15/63] lr: 6.7051e-03 eta: 21:14:47 time: 0.8407 data_time: 0.1277 memory: 14974 loss_prob: 1.2339 loss_thr: 0.6420 loss_db: 0.1961 loss: 2.0721 08/28 14:51:36 - mmengine - INFO - Epoch(train) [57][20/63] lr: 6.7051e-03 eta: 21:13:52 time: 0.8467 data_time: 0.0683 memory: 14974 loss_prob: 1.3159 loss_thr: 0.6524 loss_db: 0.2123 loss: 2.1806 08/28 14:51:40 - mmengine - INFO - Epoch(train) [57][25/63] lr: 6.7051e-03 eta: 21:13:52 time: 0.8916 data_time: 0.0989 memory: 14974 loss_prob: 1.2950 loss_thr: 0.6493 loss_db: 0.2106 loss: 2.1550 08/28 14:51:44 - mmengine - INFO - Epoch(train) [57][30/63] lr: 6.7051e-03 eta: 21:12:53 time: 0.8217 data_time: 0.0843 memory: 14974 loss_prob: 1.3670 loss_thr: 0.6498 loss_db: 0.2243 loss: 2.2410 08/28 14:51:49 - mmengine - INFO - Epoch(train) [57][35/63] lr: 6.7051e-03 eta: 21:12:53 time: 0.8447 data_time: 0.0520 memory: 14974 loss_prob: 1.4237 loss_thr: 0.6415 loss_db: 0.2285 loss: 2.2937 08/28 14:51:53 - mmengine - INFO - Epoch(train) [57][40/63] lr: 6.7051e-03 eta: 21:12:09 time: 0.8921 data_time: 0.1016 memory: 14974 loss_prob: 1.4061 loss_thr: 0.6310 loss_db: 0.2200 loss: 2.2570 08/28 14:51:57 - mmengine - INFO - Epoch(train) [57][45/63] lr: 6.7051e-03 eta: 21:12:09 time: 0.8278 data_time: 0.1043 memory: 14974 loss_prob: 1.3820 loss_thr: 0.6322 loss_db: 0.2212 loss: 2.2354 08/28 14:52:01 - mmengine - INFO - Epoch(train) [57][50/63] lr: 6.7051e-03 eta: 21:11:04 time: 0.7902 data_time: 0.0623 memory: 14974 loss_prob: 1.3437 loss_thr: 0.6439 loss_db: 0.2186 loss: 2.2062 08/28 14:52:06 - mmengine - INFO - Epoch(train) [57][55/63] lr: 6.7051e-03 eta: 21:11:04 time: 0.8648 data_time: 0.0853 memory: 14974 loss_prob: 1.3596 loss_thr: 0.6490 loss_db: 0.2248 loss: 2.2334 08/28 14:52:10 - mmengine - INFO - Epoch(train) [57][60/63] lr: 6.7051e-03 eta: 21:10:20 time: 0.8918 data_time: 0.0961 memory: 14974 loss_prob: 1.2984 loss_thr: 0.6384 loss_db: 0.2147 loss: 2.1516 08/28 14:52:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:52:17 - mmengine - INFO - Epoch(train) [58][5/63] lr: 6.6998e-03 eta: 21:10:20 time: 0.8649 data_time: 0.1858 memory: 14974 loss_prob: 1.6646 loss_thr: 0.6649 loss_db: 0.2737 loss: 2.6031 08/28 14:52:22 - mmengine - INFO - Epoch(train) [58][10/63] lr: 6.6998e-03 eta: 21:08:45 time: 0.9685 data_time: 0.2547 memory: 14974 loss_prob: 1.3516 loss_thr: 0.6289 loss_db: 0.2149 loss: 2.1954 08/28 14:52:26 - mmengine - INFO - Epoch(train) [58][15/63] lr: 6.6998e-03 eta: 21:08:45 time: 0.8379 data_time: 0.1244 memory: 14974 loss_prob: 1.2955 loss_thr: 0.6598 loss_db: 0.2051 loss: 2.1603 08/28 14:52:31 - mmengine - INFO - Epoch(train) [58][20/63] lr: 6.6998e-03 eta: 21:08:11 time: 0.9399 data_time: 0.0741 memory: 14974 loss_prob: 1.2969 loss_thr: 0.6583 loss_db: 0.2092 loss: 2.1644 08/28 14:52:36 - mmengine - INFO - Epoch(train) [58][25/63] lr: 6.6998e-03 eta: 21:08:11 time: 1.0599 data_time: 0.1535 memory: 14974 loss_prob: 1.2613 loss_thr: 0.6211 loss_db: 0.2029 loss: 2.0853 08/28 14:52:40 - mmengine - INFO - Epoch(train) [58][30/63] lr: 6.6998e-03 eta: 21:07:31 time: 0.9096 data_time: 0.1500 memory: 14974 loss_prob: 1.1743 loss_thr: 0.5920 loss_db: 0.1873 loss: 1.9537 08/28 14:52:45 - mmengine - INFO - Epoch(train) [58][35/63] lr: 6.6998e-03 eta: 21:07:31 time: 0.8464 data_time: 0.0726 memory: 14974 loss_prob: 1.1008 loss_thr: 0.5930 loss_db: 0.1754 loss: 1.8691 08/28 14:52:50 - mmengine - INFO - Epoch(train) [58][40/63] lr: 6.6998e-03 eta: 21:06:59 time: 0.9510 data_time: 0.0929 memory: 14974 loss_prob: 1.2272 loss_thr: 0.6285 loss_db: 0.1940 loss: 2.0497 08/28 14:52:54 - mmengine - INFO - Epoch(train) [58][45/63] lr: 6.6998e-03 eta: 21:06:59 time: 0.9029 data_time: 0.0904 memory: 14974 loss_prob: 1.2513 loss_thr: 0.6344 loss_db: 0.2007 loss: 2.0864 08/28 14:52:58 - mmengine - INFO - Epoch(train) [58][50/63] lr: 6.6998e-03 eta: 21:06:09 time: 0.8566 data_time: 0.0585 memory: 14974 loss_prob: 1.2604 loss_thr: 0.6263 loss_db: 0.2072 loss: 2.0938 08/28 14:53:03 - mmengine - INFO - Epoch(train) [58][55/63] lr: 6.6998e-03 eta: 21:06:09 time: 0.9304 data_time: 0.0683 memory: 14974 loss_prob: 1.3025 loss_thr: 0.6374 loss_db: 0.2144 loss: 2.1542 08/28 14:53:07 - mmengine - INFO - Epoch(train) [58][60/63] lr: 6.6998e-03 eta: 21:05:21 time: 0.8658 data_time: 0.0776 memory: 14974 loss_prob: 1.2785 loss_thr: 0.6650 loss_db: 0.2035 loss: 2.1469 08/28 14:53:09 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:53:14 - mmengine - INFO - Epoch(train) [59][5/63] lr: 6.6945e-03 eta: 21:05:21 time: 0.8652 data_time: 0.1584 memory: 14974 loss_prob: 1.2942 loss_thr: 0.6272 loss_db: 0.2047 loss: 2.1261 08/28 14:53:18 - mmengine - INFO - Epoch(train) [59][10/63] lr: 6.6945e-03 eta: 21:03:40 time: 0.9243 data_time: 0.1822 memory: 14974 loss_prob: 1.1727 loss_thr: 0.6231 loss_db: 0.1828 loss: 1.9786 08/28 14:53:23 - mmengine - INFO - Epoch(train) [59][15/63] lr: 6.6945e-03 eta: 21:03:40 time: 0.8542 data_time: 0.0611 memory: 14974 loss_prob: 1.2508 loss_thr: 0.6359 loss_db: 0.1972 loss: 2.0839 08/28 14:53:27 - mmengine - INFO - Epoch(train) [59][20/63] lr: 6.6945e-03 eta: 21:02:48 time: 0.8433 data_time: 0.0422 memory: 14974 loss_prob: 1.3130 loss_thr: 0.6167 loss_db: 0.2045 loss: 2.1342 08/28 14:53:31 - mmengine - INFO - Epoch(train) [59][25/63] lr: 6.6945e-03 eta: 21:02:48 time: 0.8238 data_time: 0.1075 memory: 14974 loss_prob: 1.3563 loss_thr: 0.6161 loss_db: 0.2107 loss: 2.1832 08/28 14:53:35 - mmengine - INFO - Epoch(train) [59][30/63] lr: 6.6945e-03 eta: 21:01:51 time: 0.8175 data_time: 0.1113 memory: 14974 loss_prob: 1.3259 loss_thr: 0.6150 loss_db: 0.2099 loss: 2.1509 08/28 14:53:39 - mmengine - INFO - Epoch(train) [59][35/63] lr: 6.6945e-03 eta: 21:01:51 time: 0.7734 data_time: 0.0665 memory: 14974 loss_prob: 1.3129 loss_thr: 0.6109 loss_db: 0.2116 loss: 2.1353 08/28 14:53:44 - mmengine - INFO - Epoch(train) [59][40/63] lr: 6.6945e-03 eta: 21:01:16 time: 0.9260 data_time: 0.1274 memory: 14974 loss_prob: 1.2930 loss_thr: 0.6100 loss_db: 0.2072 loss: 2.1102 08/28 14:53:49 - mmengine - INFO - Epoch(train) [59][45/63] lr: 6.6945e-03 eta: 21:01:16 time: 1.0262 data_time: 0.1305 memory: 14974 loss_prob: 1.2861 loss_thr: 0.6230 loss_db: 0.2066 loss: 2.1157 08/28 14:53:54 - mmengine - INFO - Epoch(train) [59][50/63] lr: 6.6945e-03 eta: 21:00:47 time: 0.9562 data_time: 0.1403 memory: 14974 loss_prob: 1.3654 loss_thr: 0.6431 loss_db: 0.2214 loss: 2.2298 08/28 14:53:58 - mmengine - INFO - Epoch(train) [59][55/63] lr: 6.6945e-03 eta: 21:00:47 time: 0.8571 data_time: 0.1298 memory: 14974 loss_prob: 1.2799 loss_thr: 0.6150 loss_db: 0.2065 loss: 2.1015 08/28 14:54:02 - mmengine - INFO - Epoch(train) [59][60/63] lr: 6.6945e-03 eta: 20:59:57 time: 0.8483 data_time: 0.0641 memory: 14974 loss_prob: 1.2993 loss_thr: 0.6199 loss_db: 0.2109 loss: 2.1300 08/28 14:54:05 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:54:11 - mmengine - INFO - Epoch(train) [60][5/63] lr: 6.6892e-03 eta: 20:59:57 time: 1.0507 data_time: 0.2344 memory: 14974 loss_prob: 1.2995 loss_thr: 0.6414 loss_db: 0.2137 loss: 2.1547 08/28 14:54:14 - mmengine - INFO - Epoch(train) [60][10/63] lr: 6.6892e-03 eta: 20:58:18 time: 0.9269 data_time: 0.1977 memory: 14974 loss_prob: 1.2707 loss_thr: 0.6232 loss_db: 0.2051 loss: 2.0990 08/28 14:54:20 - mmengine - INFO - Epoch(train) [60][15/63] lr: 6.6892e-03 eta: 20:58:18 time: 0.8969 data_time: 0.0729 memory: 14974 loss_prob: 1.2848 loss_thr: 0.6243 loss_db: 0.2081 loss: 2.1172 08/28 14:54:24 - mmengine - INFO - Epoch(train) [60][20/63] lr: 6.6892e-03 eta: 20:57:50 time: 0.9568 data_time: 0.1239 memory: 14974 loss_prob: 1.3472 loss_thr: 0.6392 loss_db: 0.2236 loss: 2.2100 08/28 14:54:28 - mmengine - INFO - Epoch(train) [60][25/63] lr: 6.6892e-03 eta: 20:57:50 time: 0.8230 data_time: 0.1035 memory: 14974 loss_prob: 1.3588 loss_thr: 0.6333 loss_db: 0.2175 loss: 2.2096 08/28 14:54:33 - mmengine - INFO - Epoch(train) [60][30/63] lr: 6.6892e-03 eta: 20:57:02 time: 0.8581 data_time: 0.1063 memory: 14974 loss_prob: 1.4064 loss_thr: 0.6385 loss_db: 0.2216 loss: 2.2665 08/28 14:54:36 - mmengine - INFO - Epoch(train) [60][35/63] lr: 6.6892e-03 eta: 20:57:02 time: 0.8466 data_time: 0.0992 memory: 14974 loss_prob: 1.4234 loss_thr: 0.6542 loss_db: 0.2319 loss: 2.3095 08/28 14:54:40 - mmengine - INFO - Epoch(train) [60][40/63] lr: 6.6892e-03 eta: 20:55:59 time: 0.7743 data_time: 0.0351 memory: 14974 loss_prob: 1.3585 loss_thr: 0.6646 loss_db: 0.2215 loss: 2.2447 08/28 14:54:45 - mmengine - INFO - Epoch(train) [60][45/63] lr: 6.6892e-03 eta: 20:55:59 time: 0.8542 data_time: 0.1144 memory: 14974 loss_prob: 1.4198 loss_thr: 0.6698 loss_db: 0.2264 loss: 2.3160 08/28 14:54:49 - mmengine - INFO - Epoch(train) [60][50/63] lr: 6.6892e-03 eta: 20:55:09 time: 0.8409 data_time: 0.1294 memory: 14974 loss_prob: 1.3904 loss_thr: 0.6492 loss_db: 0.2208 loss: 2.2603 08/28 14:54:53 - mmengine - INFO - Epoch(train) [60][55/63] lr: 6.6892e-03 eta: 20:55:09 time: 0.7967 data_time: 0.0599 memory: 14974 loss_prob: 1.3204 loss_thr: 0.6364 loss_db: 0.2116 loss: 2.1683 08/28 14:54:57 - mmengine - INFO - Epoch(train) [60][60/63] lr: 6.6892e-03 eta: 20:54:23 time: 0.8613 data_time: 0.1343 memory: 14974 loss_prob: 1.2734 loss_thr: 0.6154 loss_db: 0.2059 loss: 2.0947 08/28 14:54:59 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:54:59 - mmengine - INFO - Saving checkpoint at 60 epochs 08/28 14:55:06 - mmengine - INFO - Epoch(val) [60][5/500] eta: 20:54:23 time: 0.0639 data_time: 0.0097 memory: 14974 08/28 14:55:06 - mmengine - INFO - Epoch(val) [60][10/500] eta: 0:00:35 time: 0.0715 data_time: 0.0161 memory: 1021 08/28 14:55:06 - mmengine - INFO - Epoch(val) [60][15/500] eta: 0:00:35 time: 0.0506 data_time: 0.0084 memory: 1021 08/28 14:55:06 - mmengine - INFO - Epoch(val) [60][20/500] eta: 0:00:21 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 14:55:07 - mmengine - INFO - Epoch(val) [60][25/500] eta: 0:00:21 time: 0.0438 data_time: 0.0021 memory: 1021 08/28 14:55:07 - mmengine - INFO - Epoch(val) [60][30/500] eta: 0:00:21 time: 0.0463 data_time: 0.0020 memory: 1021 08/28 14:55:07 - mmengine - INFO - Epoch(val) [60][35/500] eta: 0:00:21 time: 0.0472 data_time: 0.0020 memory: 1021 08/28 14:55:07 - mmengine - INFO - Epoch(val) [60][40/500] eta: 0:00:21 time: 0.0478 data_time: 0.0020 memory: 1021 08/28 14:55:08 - mmengine - INFO - Epoch(val) [60][45/500] eta: 0:00:21 time: 0.0482 data_time: 0.0020 memory: 1021 08/28 14:55:08 - mmengine - INFO - Epoch(val) [60][50/500] eta: 0:00:20 time: 0.0460 data_time: 0.0020 memory: 1021 08/28 14:55:08 - mmengine - INFO - Epoch(val) [60][55/500] eta: 0:00:20 time: 0.0464 data_time: 0.0020 memory: 1021 08/28 14:55:08 - mmengine - INFO - Epoch(val) [60][60/500] eta: 0:00:19 time: 0.0448 data_time: 0.0020 memory: 1021 08/28 14:55:09 - mmengine - INFO - Epoch(val) [60][65/500] eta: 0:00:19 time: 0.0464 data_time: 0.0020 memory: 1021 08/28 14:55:09 - mmengine - INFO - Epoch(val) [60][70/500] eta: 0:00:20 time: 0.0480 data_time: 0.0020 memory: 1021 08/28 14:55:09 - mmengine - INFO - Epoch(val) [60][75/500] eta: 0:00:20 time: 0.0452 data_time: 0.0020 memory: 1021 08/28 14:55:09 - mmengine - INFO - Epoch(val) [60][80/500] eta: 0:00:18 time: 0.0438 data_time: 0.0020 memory: 1021 08/28 14:55:09 - mmengine - INFO - Epoch(val) [60][85/500] eta: 0:00:18 time: 0.0435 data_time: 0.0020 memory: 1021 08/28 14:55:10 - mmengine - INFO - Epoch(val) [60][90/500] eta: 0:00:18 time: 0.0463 data_time: 0.0020 memory: 1021 08/28 14:55:10 - mmengine - INFO - Epoch(val) [60][95/500] eta: 0:00:18 time: 0.0483 data_time: 0.0020 memory: 1021 08/28 14:55:10 - mmengine - INFO - Epoch(val) [60][100/500] eta: 0:00:17 time: 0.0449 data_time: 0.0020 memory: 1021 08/28 14:55:10 - mmengine - INFO - Epoch(val) [60][105/500] eta: 0:00:17 time: 0.0437 data_time: 0.0020 memory: 1021 08/28 14:55:11 - mmengine - INFO - Epoch(val) [60][110/500] eta: 0:00:17 time: 0.0437 data_time: 0.0020 memory: 1021 08/28 14:55:11 - mmengine - INFO - Epoch(val) [60][115/500] eta: 0:00:17 time: 0.0452 data_time: 0.0020 memory: 1021 08/28 14:55:11 - mmengine - INFO - Epoch(val) [60][120/500] eta: 0:00:17 time: 0.0473 data_time: 0.0020 memory: 1021 08/28 14:55:11 - mmengine - INFO - Epoch(val) [60][125/500] eta: 0:00:17 time: 0.0460 data_time: 0.0020 memory: 1021 08/28 14:55:11 - mmengine - INFO - Epoch(val) [60][130/500] eta: 0:00:16 time: 0.0442 data_time: 0.0021 memory: 1021 08/28 14:55:12 - mmengine - INFO - Epoch(val) [60][135/500] eta: 0:00:16 time: 0.0435 data_time: 0.0020 memory: 1021 08/28 14:55:12 - mmengine - INFO - Epoch(val) [60][140/500] eta: 0:00:19 time: 0.0552 data_time: 0.0048 memory: 1021 08/28 14:55:12 - mmengine - INFO - Epoch(val) [60][145/500] eta: 0:00:19 time: 0.0595 data_time: 0.0049 memory: 1021 08/28 14:55:13 - mmengine - INFO - Epoch(val) [60][150/500] eta: 0:00:17 time: 0.0490 data_time: 0.0021 memory: 1021 08/28 14:55:13 - mmengine - INFO - Epoch(val) [60][155/500] eta: 0:00:17 time: 0.0495 data_time: 0.0020 memory: 1021 08/28 14:55:13 - mmengine - INFO - Epoch(val) [60][160/500] eta: 0:00:16 time: 0.0493 data_time: 0.0020 memory: 1021 08/28 14:55:13 - mmengine - INFO - Epoch(val) [60][165/500] eta: 0:00:16 time: 0.0467 data_time: 0.0021 memory: 1021 08/28 14:55:13 - mmengine - INFO - Epoch(val) [60][170/500] eta: 0:00:16 time: 0.0487 data_time: 0.0026 memory: 1021 08/28 14:55:14 - mmengine - INFO - Epoch(val) [60][175/500] eta: 0:00:16 time: 0.0461 data_time: 0.0026 memory: 1021 08/28 14:55:14 - mmengine - INFO - Epoch(val) [60][180/500] eta: 0:00:14 time: 0.0445 data_time: 0.0020 memory: 1021 08/28 14:55:14 - mmengine - INFO - Epoch(val) [60][185/500] eta: 0:00:14 time: 0.0477 data_time: 0.0020 memory: 1021 08/28 14:55:14 - mmengine - INFO - Epoch(val) [60][190/500] eta: 0:00:14 time: 0.0474 data_time: 0.0020 memory: 1021 08/28 14:55:15 - mmengine - INFO - Epoch(val) [60][195/500] eta: 0:00:14 time: 0.0446 data_time: 0.0021 memory: 1021 08/28 14:55:15 - mmengine - INFO - Epoch(val) [60][200/500] eta: 0:00:15 time: 0.0511 data_time: 0.0021 memory: 1021 08/28 14:55:15 - mmengine - INFO - Epoch(val) [60][205/500] eta: 0:00:15 time: 0.0508 data_time: 0.0020 memory: 1021 08/28 14:55:15 - mmengine - INFO - Epoch(val) [60][210/500] eta: 0:00:12 time: 0.0443 data_time: 0.0020 memory: 1021 08/28 14:55:16 - mmengine - INFO - Epoch(val) [60][215/500] eta: 0:00:12 time: 0.0460 data_time: 0.0020 memory: 1021 08/28 14:55:16 - mmengine - INFO - Epoch(val) [60][220/500] eta: 0:00:12 time: 0.0458 data_time: 0.0020 memory: 1021 08/28 14:55:16 - mmengine - INFO - Epoch(val) [60][225/500] eta: 0:00:12 time: 0.0475 data_time: 0.0020 memory: 1021 08/28 14:55:16 - mmengine - INFO - Epoch(val) [60][230/500] eta: 0:00:13 time: 0.0496 data_time: 0.0061 memory: 1021 08/28 14:55:17 - mmengine - INFO - Epoch(val) [60][235/500] eta: 0:00:13 time: 0.0972 data_time: 0.0061 memory: 1021 08/28 14:55:17 - mmengine - INFO - Epoch(val) [60][240/500] eta: 0:00:28 time: 0.1112 data_time: 0.0075 memory: 1021 08/28 14:55:18 - mmengine - INFO - Epoch(val) [60][245/500] eta: 0:00:28 time: 0.0612 data_time: 0.0077 memory: 1021 08/28 14:55:18 - mmengine - INFO - Epoch(val) [60][250/500] eta: 0:00:11 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 14:55:18 - mmengine - INFO - Epoch(val) [60][255/500] eta: 0:00:11 time: 0.0485 data_time: 0.0022 memory: 1021 08/28 14:55:18 - mmengine - INFO - Epoch(val) [60][260/500] eta: 0:00:12 time: 0.0514 data_time: 0.0027 memory: 1021 08/28 14:55:19 - mmengine - INFO - Epoch(val) [60][265/500] eta: 0:00:12 time: 0.0502 data_time: 0.0027 memory: 1021 08/28 14:55:19 - mmengine - INFO - Epoch(val) [60][270/500] eta: 0:00:12 time: 0.0552 data_time: 0.0026 memory: 1021 08/28 14:55:19 - mmengine - INFO - Epoch(val) [60][275/500] eta: 0:00:12 time: 0.0554 data_time: 0.0025 memory: 1021 08/28 14:55:19 - mmengine - INFO - Epoch(val) [60][280/500] eta: 0:00:11 time: 0.0513 data_time: 0.0025 memory: 1021 08/28 14:55:20 - mmengine - INFO - Epoch(val) [60][285/500] eta: 0:00:11 time: 0.0538 data_time: 0.0025 memory: 1021 08/28 14:55:20 - mmengine - INFO - Epoch(val) [60][290/500] eta: 0:00:11 time: 0.0528 data_time: 0.0022 memory: 1021 08/28 14:55:20 - mmengine - INFO - Epoch(val) [60][295/500] eta: 0:00:11 time: 0.0538 data_time: 0.0022 memory: 1021 08/28 14:55:21 - mmengine - INFO - Epoch(val) [60][300/500] eta: 0:00:10 time: 0.0541 data_time: 0.0024 memory: 1021 08/28 14:55:21 - mmengine - INFO - Epoch(val) [60][305/500] eta: 0:00:10 time: 0.0515 data_time: 0.0024 memory: 1021 08/28 14:55:21 - mmengine - INFO - Epoch(val) [60][310/500] eta: 0:00:09 time: 0.0521 data_time: 0.0024 memory: 1021 08/28 14:55:21 - mmengine - INFO - Epoch(val) [60][315/500] eta: 0:00:09 time: 0.0562 data_time: 0.0023 memory: 1021 08/28 14:55:22 - mmengine - INFO - Epoch(val) [60][320/500] eta: 0:00:10 time: 0.0563 data_time: 0.0025 memory: 1021 08/28 14:55:22 - mmengine - INFO - Epoch(val) [60][325/500] eta: 0:00:10 time: 0.0856 data_time: 0.0041 memory: 1021 08/28 14:55:22 - mmengine - INFO - Epoch(val) [60][330/500] eta: 0:00:14 time: 0.0866 data_time: 0.0039 memory: 1021 08/28 14:55:23 - mmengine - INFO - Epoch(val) [60][335/500] eta: 0:00:14 time: 0.0517 data_time: 0.0023 memory: 1021 08/28 14:55:23 - mmengine - INFO - Epoch(val) [60][340/500] eta: 0:00:08 time: 0.0528 data_time: 0.0022 memory: 1021 08/28 14:55:23 - mmengine - INFO - Epoch(val) [60][345/500] eta: 0:00:08 time: 0.0516 data_time: 0.0021 memory: 1021 08/28 14:55:24 - mmengine - INFO - Epoch(val) [60][350/500] eta: 0:00:07 time: 0.0499 data_time: 0.0021 memory: 1021 08/28 14:55:24 - mmengine - INFO - Epoch(val) [60][355/500] eta: 0:00:07 time: 0.0500 data_time: 0.0021 memory: 1021 08/28 14:55:24 - mmengine - INFO - Epoch(val) [60][360/500] eta: 0:00:06 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 14:55:24 - mmengine - INFO - Epoch(val) [60][365/500] eta: 0:00:06 time: 0.0451 data_time: 0.0021 memory: 1021 08/28 14:55:24 - mmengine - INFO - Epoch(val) [60][370/500] eta: 0:00:05 time: 0.0434 data_time: 0.0021 memory: 1021 08/28 14:55:25 - mmengine - INFO - Epoch(val) [60][375/500] eta: 0:00:05 time: 0.0420 data_time: 0.0020 memory: 1021 08/28 14:55:25 - mmengine - INFO - Epoch(val) [60][380/500] eta: 0:00:05 time: 0.0457 data_time: 0.0021 memory: 1021 08/28 14:55:25 - mmengine - INFO - Epoch(val) [60][385/500] eta: 0:00:05 time: 0.0470 data_time: 0.0021 memory: 1021 08/28 14:55:25 - mmengine - INFO - Epoch(val) [60][390/500] eta: 0:00:05 time: 0.0456 data_time: 0.0020 memory: 1021 08/28 14:55:26 - mmengine - INFO - Epoch(val) [60][395/500] eta: 0:00:05 time: 0.0454 data_time: 0.0020 memory: 1021 08/28 14:55:26 - mmengine - INFO - Epoch(val) [60][400/500] eta: 0:00:04 time: 0.0442 data_time: 0.0020 memory: 1021 08/28 14:55:26 - mmengine - INFO - Epoch(val) [60][405/500] eta: 0:00:04 time: 0.0447 data_time: 0.0021 memory: 1021 08/28 14:55:26 - mmengine - INFO - Epoch(val) [60][410/500] eta: 0:00:04 time: 0.0469 data_time: 0.0021 memory: 1021 08/28 14:55:26 - mmengine - INFO - Epoch(val) [60][415/500] eta: 0:00:04 time: 0.0460 data_time: 0.0021 memory: 1021 08/28 14:55:27 - mmengine - INFO - Epoch(val) [60][420/500] eta: 0:00:03 time: 0.0424 data_time: 0.0021 memory: 1021 08/28 14:55:27 - mmengine - INFO - Epoch(val) [60][425/500] eta: 0:00:03 time: 0.0505 data_time: 0.0065 memory: 1021 08/28 14:55:27 - mmengine - INFO - Epoch(val) [60][430/500] eta: 0:00:03 time: 0.0524 data_time: 0.0065 memory: 1021 08/28 14:55:27 - mmengine - INFO - Epoch(val) [60][435/500] eta: 0:00:03 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 14:55:28 - mmengine - INFO - Epoch(val) [60][440/500] eta: 0:00:02 time: 0.0455 data_time: 0.0021 memory: 1021 08/28 14:55:28 - mmengine - INFO - Epoch(val) [60][445/500] eta: 0:00:02 time: 0.0476 data_time: 0.0021 memory: 1021 08/28 14:55:28 - mmengine - INFO - Epoch(val) [60][450/500] eta: 0:00:02 time: 0.0479 data_time: 0.0020 memory: 1021 08/28 14:55:28 - mmengine - INFO - Epoch(val) [60][455/500] eta: 0:00:02 time: 0.0468 data_time: 0.0020 memory: 1021 08/28 14:55:29 - mmengine - INFO - Epoch(val) [60][460/500] eta: 0:00:01 time: 0.0450 data_time: 0.0021 memory: 1021 08/28 14:55:29 - mmengine - INFO - Epoch(val) [60][465/500] eta: 0:00:01 time: 0.0433 data_time: 0.0022 memory: 1021 08/28 14:55:29 - mmengine - INFO - Epoch(val) [60][470/500] eta: 0:00:01 time: 0.0440 data_time: 0.0021 memory: 1021 08/28 14:55:29 - mmengine - INFO - Epoch(val) [60][475/500] eta: 0:00:01 time: 0.0435 data_time: 0.0021 memory: 1021 08/28 14:55:29 - mmengine - INFO - Epoch(val) [60][480/500] eta: 0:00:00 time: 0.0463 data_time: 0.0021 memory: 1021 08/28 14:55:30 - mmengine - INFO - Epoch(val) [60][485/500] eta: 0:00:00 time: 0.0519 data_time: 0.0022 memory: 1021 08/28 14:55:30 - mmengine - INFO - Epoch(val) [60][490/500] eta: 0:00:00 time: 0.0536 data_time: 0.0022 memory: 1021 08/28 14:55:30 - mmengine - INFO - Epoch(val) [60][495/500] eta: 0:00:00 time: 0.0559 data_time: 0.0023 memory: 1021 08/28 14:55:31 - mmengine - INFO - Epoch(val) [60][500/500] eta: 0:00:00 time: 0.0555 data_time: 0.0026 memory: 1021 08/28 14:55:31 - mmengine - INFO - Evaluating hmean-iou... 08/28 14:55:31 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7968, precision: 0.6027, hmean: 0.6863 08/28 14:55:31 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7968, precision: 0.6913, hmean: 0.7403 08/28 14:55:31 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7906, precision: 0.7542, hmean: 0.7720 08/28 14:55:31 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7636, precision: 0.8071, hmean: 0.7848 08/28 14:55:31 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6673, precision: 0.8668, hmean: 0.7541 08/28 14:55:31 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2186, precision: 0.9265, hmean: 0.3537 08/28 14:55:31 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 08/28 14:55:31 - mmengine - INFO - Epoch(val) [60][500/500] icdar/precision: 0.8071 icdar/recall: 0.7636 icdar/hmean: 0.7848 08/28 14:55:37 - mmengine - INFO - Epoch(train) [61][5/63] lr: 6.6839e-03 eta: 0:00:00 time: 0.8998 data_time: 0.1919 memory: 14974 loss_prob: 1.4016 loss_thr: 0.6282 loss_db: 0.2287 loss: 2.2584 08/28 14:55:40 - mmengine - INFO - Epoch(train) [61][10/63] lr: 6.6839e-03 eta: 20:52:49 time: 0.9360 data_time: 0.1868 memory: 14974 loss_prob: 1.4706 loss_thr: 0.6901 loss_db: 0.2383 loss: 2.3990 08/28 14:55:44 - mmengine - INFO - Epoch(train) [61][15/63] lr: 6.6839e-03 eta: 20:52:49 time: 0.7642 data_time: 0.0524 memory: 14974 loss_prob: 1.4064 loss_thr: 0.6845 loss_db: 0.2316 loss: 2.3225 08/28 14:55:49 - mmengine - INFO - Epoch(train) [61][20/63] lr: 6.6839e-03 eta: 20:51:54 time: 0.8111 data_time: 0.1026 memory: 14974 loss_prob: 1.4286 loss_thr: 0.6378 loss_db: 0.2343 loss: 2.3008 08/28 14:55:53 - mmengine - INFO - Epoch(train) [61][25/63] lr: 6.6839e-03 eta: 20:51:54 time: 0.8429 data_time: 0.0946 memory: 14974 loss_prob: 1.4110 loss_thr: 0.6329 loss_db: 0.2271 loss: 2.2709 08/28 14:55:57 - mmengine - INFO - Epoch(train) [61][30/63] lr: 6.6839e-03 eta: 20:51:00 time: 0.8189 data_time: 0.0420 memory: 14974 loss_prob: 1.2771 loss_thr: 0.6324 loss_db: 0.2081 loss: 2.1177 08/28 14:56:01 - mmengine - INFO - Epoch(train) [61][35/63] lr: 6.6839e-03 eta: 20:51:00 time: 0.8579 data_time: 0.1125 memory: 14974 loss_prob: 1.2306 loss_thr: 0.6246 loss_db: 0.2025 loss: 2.0577 08/28 14:56:05 - mmengine - INFO - Epoch(train) [61][40/63] lr: 6.6839e-03 eta: 20:50:12 time: 0.8442 data_time: 0.1319 memory: 14974 loss_prob: 1.2803 loss_thr: 0.6068 loss_db: 0.2036 loss: 2.0908 08/28 14:56:09 - mmengine - INFO - Epoch(train) [61][45/63] lr: 6.6839e-03 eta: 20:50:12 time: 0.7970 data_time: 0.0797 memory: 14974 loss_prob: 1.3754 loss_thr: 0.6290 loss_db: 0.2168 loss: 2.2213 08/28 14:56:15 - mmengine - INFO - Epoch(train) [61][50/63] lr: 6.6839e-03 eta: 20:49:41 time: 0.9328 data_time: 0.1841 memory: 14974 loss_prob: 1.4261 loss_thr: 0.6651 loss_db: 0.2284 loss: 2.3196 08/28 14:56:20 - mmengine - INFO - Epoch(train) [61][55/63] lr: 6.6839e-03 eta: 20:49:41 time: 1.0307 data_time: 0.1819 memory: 14974 loss_prob: 1.5268 loss_thr: 0.6861 loss_db: 0.2495 loss: 2.4624 08/28 14:56:25 - mmengine - INFO - Epoch(train) [61][60/63] lr: 6.6839e-03 eta: 20:49:27 time: 1.0290 data_time: 0.1367 memory: 14974 loss_prob: 1.5934 loss_thr: 0.7015 loss_db: 0.2639 loss: 2.5588 08/28 14:56:27 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:56:32 - mmengine - INFO - Epoch(train) [62][5/63] lr: 6.6787e-03 eta: 20:49:27 time: 0.8647 data_time: 0.1815 memory: 14974 loss_prob: 1.4289 loss_thr: 0.6396 loss_db: 0.2316 loss: 2.3001 08/28 14:56:37 - mmengine - INFO - Epoch(train) [62][10/63] lr: 6.6787e-03 eta: 20:48:01 time: 0.9668 data_time: 0.2379 memory: 14974 loss_prob: 1.4054 loss_thr: 0.6744 loss_db: 0.2232 loss: 2.3030 08/28 14:56:41 - mmengine - INFO - Epoch(train) [62][15/63] lr: 6.6787e-03 eta: 20:48:01 time: 0.8731 data_time: 0.1141 memory: 14974 loss_prob: 1.4737 loss_thr: 0.6653 loss_db: 0.2391 loss: 2.3780 08/28 14:56:46 - mmengine - INFO - Epoch(train) [62][20/63] lr: 6.6787e-03 eta: 20:47:31 time: 0.9398 data_time: 0.0510 memory: 14974 loss_prob: 1.4308 loss_thr: 0.6283 loss_db: 0.2320 loss: 2.2911 08/28 14:56:50 - mmengine - INFO - Epoch(train) [62][25/63] lr: 6.6787e-03 eta: 20:47:31 time: 0.9413 data_time: 0.0781 memory: 14974 loss_prob: 1.5637 loss_thr: 0.6825 loss_db: 0.2618 loss: 2.5079 08/28 14:56:54 - mmengine - INFO - Epoch(train) [62][30/63] lr: 6.6787e-03 eta: 20:46:33 time: 0.7886 data_time: 0.0792 memory: 14974 loss_prob: 1.6861 loss_thr: 0.7090 loss_db: 0.2774 loss: 2.6725 08/28 14:56:58 - mmengine - INFO - Epoch(train) [62][35/63] lr: 6.6787e-03 eta: 20:46:33 time: 0.7470 data_time: 0.0561 memory: 14974 loss_prob: 1.5378 loss_thr: 0.6892 loss_db: 0.2391 loss: 2.4661 08/28 14:57:02 - mmengine - INFO - Epoch(train) [62][40/63] lr: 6.6787e-03 eta: 20:45:41 time: 0.8145 data_time: 0.0964 memory: 14974 loss_prob: 1.4026 loss_thr: 0.6636 loss_db: 0.2243 loss: 2.2905 08/28 14:57:06 - mmengine - INFO - Epoch(train) [62][45/63] lr: 6.6787e-03 eta: 20:45:41 time: 0.8772 data_time: 0.0982 memory: 14974 loss_prob: 1.3925 loss_thr: 0.6401 loss_db: 0.2282 loss: 2.2609 08/28 14:57:10 - mmengine - INFO - Epoch(train) [62][50/63] lr: 6.6787e-03 eta: 20:44:49 time: 0.8148 data_time: 0.0449 memory: 14974 loss_prob: 1.4894 loss_thr: 0.6806 loss_db: 0.2454 loss: 2.4154 08/28 14:57:15 - mmengine - INFO - Epoch(train) [62][55/63] lr: 6.6787e-03 eta: 20:44:49 time: 0.8248 data_time: 0.1131 memory: 14974 loss_prob: 1.4763 loss_thr: 0.6927 loss_db: 0.2404 loss: 2.4094 08/28 14:57:19 - mmengine - INFO - Epoch(train) [62][60/63] lr: 6.6787e-03 eta: 20:44:01 time: 0.8413 data_time: 0.1293 memory: 14974 loss_prob: 1.3204 loss_thr: 0.6427 loss_db: 0.2135 loss: 2.1766 08/28 14:57:21 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:57:26 - mmengine - INFO - Epoch(train) [63][5/63] lr: 6.6734e-03 eta: 20:44:01 time: 0.8739 data_time: 0.1790 memory: 14974 loss_prob: 1.2834 loss_thr: 0.6173 loss_db: 0.2106 loss: 2.1112 08/28 14:57:31 - mmengine - INFO - Epoch(train) [63][10/63] lr: 6.6734e-03 eta: 20:42:45 time: 1.0094 data_time: 0.2339 memory: 14974 loss_prob: 1.2963 loss_thr: 0.6243 loss_db: 0.2106 loss: 2.1312 08/28 14:57:36 - mmengine - INFO - Epoch(train) [63][15/63] lr: 6.6734e-03 eta: 20:42:45 time: 0.9778 data_time: 0.1335 memory: 14974 loss_prob: 1.2767 loss_thr: 0.6254 loss_db: 0.2033 loss: 2.1054 08/28 14:57:40 - mmengine - INFO - Epoch(train) [63][20/63] lr: 6.6734e-03 eta: 20:42:05 time: 0.8781 data_time: 0.0775 memory: 14974 loss_prob: 1.2365 loss_thr: 0.6005 loss_db: 0.2012 loss: 2.0381 08/28 14:57:44 - mmengine - INFO - Epoch(train) [63][25/63] lr: 6.6734e-03 eta: 20:42:05 time: 0.8625 data_time: 0.1189 memory: 14974 loss_prob: 1.3557 loss_thr: 0.6203 loss_db: 0.2200 loss: 2.1961 08/28 14:57:50 - mmengine - INFO - Epoch(train) [63][30/63] lr: 6.6734e-03 eta: 20:41:46 time: 0.9943 data_time: 0.1221 memory: 14974 loss_prob: 1.4615 loss_thr: 0.6656 loss_db: 0.2336 loss: 2.3607 08/28 14:57:54 - mmengine - INFO - Epoch(train) [63][35/63] lr: 6.6734e-03 eta: 20:41:46 time: 0.9614 data_time: 0.0608 memory: 14974 loss_prob: 1.3347 loss_thr: 0.6488 loss_db: 0.2141 loss: 2.1976 08/28 14:57:58 - mmengine - INFO - Epoch(train) [63][40/63] lr: 6.6734e-03 eta: 20:41:01 time: 0.8468 data_time: 0.0831 memory: 14974 loss_prob: 1.2907 loss_thr: 0.6553 loss_db: 0.2124 loss: 2.1584 08/28 14:58:03 - mmengine - INFO - Epoch(train) [63][45/63] lr: 6.6734e-03 eta: 20:41:01 time: 0.8830 data_time: 0.0874 memory: 14974 loss_prob: 1.6622 loss_thr: 0.7086 loss_db: 0.2783 loss: 2.6490 08/28 14:58:07 - mmengine - INFO - Epoch(train) [63][50/63] lr: 6.6734e-03 eta: 20:40:17 time: 0.8536 data_time: 0.0484 memory: 14974 loss_prob: 1.6560 loss_thr: 0.6853 loss_db: 0.2711 loss: 2.6124 08/28 14:58:11 - mmengine - INFO - Epoch(train) [63][55/63] lr: 6.6734e-03 eta: 20:40:17 time: 0.8155 data_time: 0.0961 memory: 14974 loss_prob: 1.2312 loss_thr: 0.6244 loss_db: 0.1920 loss: 2.0476 08/28 14:58:15 - mmengine - INFO - Epoch(train) [63][60/63] lr: 6.6734e-03 eta: 20:39:36 time: 0.8685 data_time: 0.1019 memory: 14974 loss_prob: 1.2524 loss_thr: 0.6262 loss_db: 0.2021 loss: 2.0807 08/28 14:58:17 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:58:23 - mmengine - INFO - Epoch(train) [64][5/63] lr: 6.6681e-03 eta: 20:39:36 time: 0.8975 data_time: 0.1838 memory: 14974 loss_prob: 1.2704 loss_thr: 0.6156 loss_db: 0.2012 loss: 2.0872 08/28 14:58:27 - mmengine - INFO - Epoch(train) [64][10/63] lr: 6.6681e-03 eta: 20:38:09 time: 0.9464 data_time: 0.2004 memory: 14974 loss_prob: 1.3868 loss_thr: 0.6441 loss_db: 0.2193 loss: 2.2502 08/28 14:58:31 - mmengine - INFO - Epoch(train) [64][15/63] lr: 6.6681e-03 eta: 20:38:09 time: 0.7841 data_time: 0.0738 memory: 14974 loss_prob: 1.2543 loss_thr: 0.6513 loss_db: 0.2003 loss: 2.1058 08/28 14:58:35 - mmengine - INFO - Epoch(train) [64][20/63] lr: 6.6681e-03 eta: 20:37:17 time: 0.8016 data_time: 0.0561 memory: 14974 loss_prob: 1.1890 loss_thr: 0.6348 loss_db: 0.1901 loss: 2.0139 08/28 14:58:39 - mmengine - INFO - Epoch(train) [64][25/63] lr: 6.6681e-03 eta: 20:37:17 time: 0.8840 data_time: 0.1395 memory: 14974 loss_prob: 1.1983 loss_thr: 0.5993 loss_db: 0.1890 loss: 1.9867 08/28 14:58:44 - mmengine - INFO - Epoch(train) [64][30/63] lr: 6.6681e-03 eta: 20:36:44 time: 0.9104 data_time: 0.1324 memory: 14974 loss_prob: 1.2280 loss_thr: 0.6141 loss_db: 0.1963 loss: 2.0384 08/28 14:58:45 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:58:49 - mmengine - INFO - Epoch(train) [64][35/63] lr: 6.6681e-03 eta: 20:36:44 time: 0.9494 data_time: 0.0624 memory: 14974 loss_prob: 1.1948 loss_thr: 0.6196 loss_db: 0.1950 loss: 2.0093 08/28 14:58:54 - mmengine - INFO - Epoch(train) [64][40/63] lr: 6.6681e-03 eta: 20:36:21 time: 0.9663 data_time: 0.1322 memory: 14974 loss_prob: 1.2915 loss_thr: 0.6070 loss_db: 0.2061 loss: 2.1046 08/28 14:58:57 - mmengine - INFO - Epoch(train) [64][45/63] lr: 6.6681e-03 eta: 20:36:21 time: 0.8530 data_time: 0.1269 memory: 14974 loss_prob: 1.3664 loss_thr: 0.6094 loss_db: 0.2236 loss: 2.1994 08/28 14:59:02 - mmengine - INFO - Epoch(train) [64][50/63] lr: 6.6681e-03 eta: 20:35:28 time: 0.7968 data_time: 0.0655 memory: 14974 loss_prob: 1.3382 loss_thr: 0.6165 loss_db: 0.2229 loss: 2.1776 08/28 14:59:06 - mmengine - INFO - Epoch(train) [64][55/63] lr: 6.6681e-03 eta: 20:35:28 time: 0.8982 data_time: 0.0955 memory: 14974 loss_prob: 1.3183 loss_thr: 0.6348 loss_db: 0.2142 loss: 2.1673 08/28 14:59:10 - mmengine - INFO - Epoch(train) [64][60/63] lr: 6.6681e-03 eta: 20:34:48 time: 0.8669 data_time: 0.0891 memory: 14974 loss_prob: 1.2227 loss_thr: 0.6355 loss_db: 0.1961 loss: 2.0544 08/28 14:59:13 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 14:59:19 - mmengine - INFO - Epoch(train) [65][5/63] lr: 6.6628e-03 eta: 20:34:48 time: 0.9855 data_time: 0.1808 memory: 14974 loss_prob: 1.1614 loss_thr: 0.6422 loss_db: 0.1894 loss: 1.9930 08/28 14:59:23 - mmengine - INFO - Epoch(train) [65][10/63] lr: 6.6628e-03 eta: 20:33:41 time: 1.0446 data_time: 0.2386 memory: 14974 loss_prob: 1.1689 loss_thr: 0.6417 loss_db: 0.1917 loss: 2.0023 08/28 14:59:27 - mmengine - INFO - Epoch(train) [65][15/63] lr: 6.6628e-03 eta: 20:33:41 time: 0.8138 data_time: 0.1036 memory: 14974 loss_prob: 1.1012 loss_thr: 0.6208 loss_db: 0.1812 loss: 1.9031 08/28 14:59:31 - mmengine - INFO - Epoch(train) [65][20/63] lr: 6.6628e-03 eta: 20:32:42 time: 0.7604 data_time: 0.0574 memory: 14974 loss_prob: 1.1047 loss_thr: 0.6172 loss_db: 0.1796 loss: 1.9015 08/28 14:59:35 - mmengine - INFO - Epoch(train) [65][25/63] lr: 6.6628e-03 eta: 20:32:42 time: 0.8530 data_time: 0.0774 memory: 14974 loss_prob: 1.1576 loss_thr: 0.6094 loss_db: 0.1841 loss: 1.9511 08/28 14:59:39 - mmengine - INFO - Epoch(train) [65][30/63] lr: 6.6628e-03 eta: 20:31:58 time: 0.8440 data_time: 0.0631 memory: 14974 loss_prob: 1.1316 loss_thr: 0.5972 loss_db: 0.1822 loss: 1.9111 08/28 14:59:43 - mmengine - INFO - Epoch(train) [65][35/63] lr: 6.6628e-03 eta: 20:31:58 time: 0.7639 data_time: 0.0511 memory: 14974 loss_prob: 1.2390 loss_thr: 0.6225 loss_db: 0.2058 loss: 2.0673 08/28 14:59:48 - mmengine - INFO - Epoch(train) [65][40/63] lr: 6.6628e-03 eta: 20:31:15 time: 0.8429 data_time: 0.1307 memory: 14974 loss_prob: 1.2729 loss_thr: 0.6351 loss_db: 0.2125 loss: 2.1205 08/28 14:59:51 - mmengine - INFO - Epoch(train) [65][45/63] lr: 6.6628e-03 eta: 20:31:15 time: 0.8381 data_time: 0.1269 memory: 14974 loss_prob: 1.2363 loss_thr: 0.6055 loss_db: 0.2037 loss: 2.0454 08/28 14:59:56 - mmengine - INFO - Epoch(train) [65][50/63] lr: 6.6628e-03 eta: 20:30:34 time: 0.8606 data_time: 0.0698 memory: 14974 loss_prob: 1.3618 loss_thr: 0.6364 loss_db: 0.2160 loss: 2.2142 08/28 15:00:02 - mmengine - INFO - Epoch(train) [65][55/63] lr: 6.6628e-03 eta: 20:30:34 time: 1.0110 data_time: 0.1241 memory: 14974 loss_prob: 1.5233 loss_thr: 0.6971 loss_db: 0.2431 loss: 2.4635 08/28 15:00:06 - mmengine - INFO - Epoch(train) [65][60/63] lr: 6.6628e-03 eta: 20:30:09 time: 0.9449 data_time: 0.1263 memory: 14974 loss_prob: 1.5996 loss_thr: 0.6870 loss_db: 0.2571 loss: 2.5437 08/28 15:00:08 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:00:13 - mmengine - INFO - Epoch(train) [66][5/63] lr: 6.6575e-03 eta: 20:30:09 time: 0.8577 data_time: 0.1670 memory: 14974 loss_prob: 1.3634 loss_thr: 0.6502 loss_db: 0.2208 loss: 2.2344 08/28 15:00:19 - mmengine - INFO - Epoch(train) [66][10/63] lr: 6.6575e-03 eta: 20:29:10 time: 1.0822 data_time: 0.2386 memory: 14974 loss_prob: 1.2638 loss_thr: 0.6217 loss_db: 0.2036 loss: 2.0891 08/28 15:00:24 - mmengine - INFO - Epoch(train) [66][15/63] lr: 6.6575e-03 eta: 20:29:10 time: 1.0865 data_time: 0.1202 memory: 14974 loss_prob: 1.1868 loss_thr: 0.6153 loss_db: 0.1887 loss: 1.9908 08/28 15:00:28 - mmengine - INFO - Epoch(train) [66][20/63] lr: 6.6575e-03 eta: 20:28:44 time: 0.9416 data_time: 0.0871 memory: 14974 loss_prob: 1.3202 loss_thr: 0.6473 loss_db: 0.2113 loss: 2.1788 08/28 15:00:32 - mmengine - INFO - Epoch(train) [66][25/63] lr: 6.6575e-03 eta: 20:28:44 time: 0.8062 data_time: 0.0822 memory: 14974 loss_prob: 1.3010 loss_thr: 0.6324 loss_db: 0.2110 loss: 2.1444 08/28 15:00:36 - mmengine - INFO - Epoch(train) [66][30/63] lr: 6.6575e-03 eta: 20:27:49 time: 0.7726 data_time: 0.0467 memory: 14974 loss_prob: 1.2073 loss_thr: 0.6081 loss_db: 0.1952 loss: 2.0106 08/28 15:00:40 - mmengine - INFO - Epoch(train) [66][35/63] lr: 6.6575e-03 eta: 20:27:49 time: 0.8244 data_time: 0.1087 memory: 14974 loss_prob: 1.2066 loss_thr: 0.6294 loss_db: 0.1939 loss: 2.0299 08/28 15:00:45 - mmengine - INFO - Epoch(train) [66][40/63] lr: 6.6575e-03 eta: 20:27:16 time: 0.9000 data_time: 0.1129 memory: 14974 loss_prob: 1.1709 loss_thr: 0.6135 loss_db: 0.1850 loss: 1.9694 08/28 15:00:49 - mmengine - INFO - Epoch(train) [66][45/63] lr: 6.6575e-03 eta: 20:27:16 time: 0.8557 data_time: 0.0584 memory: 14974 loss_prob: 1.2469 loss_thr: 0.6052 loss_db: 0.1963 loss: 2.0484 08/28 15:00:53 - mmengine - INFO - Epoch(train) [66][50/63] lr: 6.6575e-03 eta: 20:26:25 time: 0.7931 data_time: 0.0693 memory: 14974 loss_prob: 1.2516 loss_thr: 0.6054 loss_db: 0.1973 loss: 2.0543 08/28 15:00:57 - mmengine - INFO - Epoch(train) [66][55/63] lr: 6.6575e-03 eta: 20:26:25 time: 0.7927 data_time: 0.0590 memory: 14974 loss_prob: 1.3136 loss_thr: 0.6271 loss_db: 0.2050 loss: 2.1458 08/28 15:01:01 - mmengine - INFO - Epoch(train) [66][60/63] lr: 6.6575e-03 eta: 20:25:33 time: 0.7893 data_time: 0.0610 memory: 14974 loss_prob: 1.3104 loss_thr: 0.6371 loss_db: 0.2089 loss: 2.1564 08/28 15:01:03 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:01:08 - mmengine - INFO - Epoch(train) [67][5/63] lr: 6.6522e-03 eta: 20:25:33 time: 0.9048 data_time: 0.2382 memory: 14974 loss_prob: 1.1324 loss_thr: 0.6027 loss_db: 0.1814 loss: 1.9165 08/28 15:01:12 - mmengine - INFO - Epoch(train) [67][10/63] lr: 6.6522e-03 eta: 20:24:00 time: 0.8739 data_time: 0.1722 memory: 14974 loss_prob: 1.2099 loss_thr: 0.6387 loss_db: 0.1975 loss: 2.0462 08/28 15:01:17 - mmengine - INFO - Epoch(train) [67][15/63] lr: 6.6522e-03 eta: 20:24:00 time: 0.9097 data_time: 0.0882 memory: 14974 loss_prob: 1.2014 loss_thr: 0.6410 loss_db: 0.1943 loss: 2.0368 08/28 15:01:22 - mmengine - INFO - Epoch(train) [67][20/63] lr: 6.6522e-03 eta: 20:23:42 time: 0.9815 data_time: 0.1059 memory: 14974 loss_prob: 1.2047 loss_thr: 0.6399 loss_db: 0.1934 loss: 2.0380 08/28 15:01:26 - mmengine - INFO - Epoch(train) [67][25/63] lr: 6.6522e-03 eta: 20:23:42 time: 0.8868 data_time: 0.0703 memory: 14974 loss_prob: 1.1791 loss_thr: 0.6181 loss_db: 0.1937 loss: 1.9909 08/28 15:01:31 - mmengine - INFO - Epoch(train) [67][30/63] lr: 6.6522e-03 eta: 20:23:08 time: 0.8903 data_time: 0.1179 memory: 14974 loss_prob: 1.0705 loss_thr: 0.5890 loss_db: 0.1735 loss: 1.8330 08/28 15:01:37 - mmengine - INFO - Epoch(train) [67][35/63] lr: 6.6522e-03 eta: 20:23:08 time: 1.0338 data_time: 0.1237 memory: 14974 loss_prob: 1.1604 loss_thr: 0.6202 loss_db: 0.1910 loss: 1.9717 08/28 15:01:41 - mmengine - INFO - Epoch(train) [67][40/63] lr: 6.6522e-03 eta: 20:22:55 time: 1.0095 data_time: 0.0910 memory: 14974 loss_prob: 1.3025 loss_thr: 0.6384 loss_db: 0.2099 loss: 2.1508 08/28 15:01:45 - mmengine - INFO - Epoch(train) [67][45/63] lr: 6.6522e-03 eta: 20:22:55 time: 0.8198 data_time: 0.0895 memory: 14974 loss_prob: 1.2032 loss_thr: 0.6092 loss_db: 0.1931 loss: 2.0055 08/28 15:01:49 - mmengine - INFO - Epoch(train) [67][50/63] lr: 6.6522e-03 eta: 20:22:04 time: 0.7863 data_time: 0.0486 memory: 14974 loss_prob: 1.0830 loss_thr: 0.5839 loss_db: 0.1778 loss: 1.8447 08/28 15:01:53 - mmengine - INFO - Epoch(train) [67][55/63] lr: 6.6522e-03 eta: 20:22:04 time: 0.8290 data_time: 0.0944 memory: 14974 loss_prob: 1.2180 loss_thr: 0.6216 loss_db: 0.1956 loss: 2.0352 08/28 15:01:57 - mmengine - INFO - Epoch(train) [67][60/63] lr: 6.6522e-03 eta: 20:21:20 time: 0.8291 data_time: 0.1096 memory: 14974 loss_prob: 1.3898 loss_thr: 0.6628 loss_db: 0.2235 loss: 2.2761 08/28 15:01:59 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:02:04 - mmengine - INFO - Epoch(train) [68][5/63] lr: 6.6470e-03 eta: 20:21:20 time: 0.8643 data_time: 0.1621 memory: 14974 loss_prob: 1.1879 loss_thr: 0.6472 loss_db: 0.1940 loss: 2.0291 08/28 15:02:08 - mmengine - INFO - Epoch(train) [68][10/63] lr: 6.6470e-03 eta: 20:19:58 time: 0.9288 data_time: 0.1868 memory: 14974 loss_prob: 1.1452 loss_thr: 0.6296 loss_db: 0.1846 loss: 1.9594 08/28 15:02:13 - mmengine - INFO - Epoch(train) [68][15/63] lr: 6.6470e-03 eta: 20:19:58 time: 0.8479 data_time: 0.0670 memory: 14974 loss_prob: 1.1991 loss_thr: 0.6177 loss_db: 0.1910 loss: 2.0078 08/28 15:02:17 - mmengine - INFO - Epoch(train) [68][20/63] lr: 6.6470e-03 eta: 20:19:14 time: 0.8281 data_time: 0.0590 memory: 14974 loss_prob: 1.3057 loss_thr: 0.6239 loss_db: 0.2004 loss: 2.1300 08/28 15:02:21 - mmengine - INFO - Epoch(train) [68][25/63] lr: 6.6470e-03 eta: 20:19:14 time: 0.8473 data_time: 0.1354 memory: 14974 loss_prob: 1.3818 loss_thr: 0.6418 loss_db: 0.2097 loss: 2.2333 08/28 15:02:26 - mmengine - INFO - Epoch(train) [68][30/63] lr: 6.6470e-03 eta: 20:18:41 time: 0.8868 data_time: 0.1293 memory: 14974 loss_prob: 1.5908 loss_thr: 0.6560 loss_db: 0.2458 loss: 2.4926 08/28 15:02:30 - mmengine - INFO - Epoch(train) [68][35/63] lr: 6.6470e-03 eta: 20:18:41 time: 0.8350 data_time: 0.0749 memory: 14974 loss_prob: 1.5946 loss_thr: 0.6480 loss_db: 0.2519 loss: 2.4946 08/28 15:02:35 - mmengine - INFO - Epoch(train) [68][40/63] lr: 6.6470e-03 eta: 20:18:20 time: 0.9611 data_time: 0.1325 memory: 14974 loss_prob: 1.2907 loss_thr: 0.6189 loss_db: 0.2065 loss: 2.1161 08/28 15:02:39 - mmengine - INFO - Epoch(train) [68][45/63] lr: 6.6470e-03 eta: 20:18:20 time: 0.9869 data_time: 0.1294 memory: 14974 loss_prob: 1.1766 loss_thr: 0.5957 loss_db: 0.1845 loss: 1.9568 08/28 15:02:44 - mmengine - INFO - Epoch(train) [68][50/63] lr: 6.6470e-03 eta: 20:17:43 time: 0.8643 data_time: 0.0794 memory: 14974 loss_prob: 1.1168 loss_thr: 0.5956 loss_db: 0.1774 loss: 1.8898 08/28 15:02:48 - mmengine - INFO - Epoch(train) [68][55/63] lr: 6.6470e-03 eta: 20:17:43 time: 0.8953 data_time: 0.1308 memory: 14974 loss_prob: 1.1439 loss_thr: 0.6047 loss_db: 0.1827 loss: 1.9314 08/28 15:02:53 - mmengine - INFO - Epoch(train) [68][60/63] lr: 6.6470e-03 eta: 20:17:19 time: 0.9404 data_time: 0.1190 memory: 14974 loss_prob: 1.2403 loss_thr: 0.6217 loss_db: 0.1966 loss: 2.0586 08/28 15:02:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:03:02 - mmengine - INFO - Epoch(train) [69][5/63] lr: 6.6417e-03 eta: 20:17:19 time: 1.0546 data_time: 0.1872 memory: 14974 loss_prob: 1.2994 loss_thr: 0.6612 loss_db: 0.2157 loss: 2.1764 08/28 15:03:07 - mmengine - INFO - Epoch(train) [69][10/63] lr: 6.6417e-03 eta: 20:16:20 time: 1.0572 data_time: 0.2069 memory: 14974 loss_prob: 1.3647 loss_thr: 0.6527 loss_db: 0.2215 loss: 2.2389 08/28 15:03:10 - mmengine - INFO - Epoch(train) [69][15/63] lr: 6.6417e-03 eta: 20:16:20 time: 0.8450 data_time: 0.0738 memory: 14974 loss_prob: 1.3511 loss_thr: 0.6290 loss_db: 0.2194 loss: 2.1995 08/28 15:03:15 - mmengine - INFO - Epoch(train) [69][20/63] lr: 6.6417e-03 eta: 20:15:33 time: 0.8002 data_time: 0.0559 memory: 14974 loss_prob: 1.3442 loss_thr: 0.6369 loss_db: 0.2226 loss: 2.2037 08/28 15:03:19 - mmengine - INFO - Epoch(train) [69][25/63] lr: 6.6417e-03 eta: 20:15:33 time: 0.8551 data_time: 0.1074 memory: 14974 loss_prob: 1.3120 loss_thr: 0.6352 loss_db: 0.2102 loss: 2.1573 08/28 15:03:23 - mmengine - INFO - Epoch(train) [69][30/63] lr: 6.6417e-03 eta: 20:14:47 time: 0.8104 data_time: 0.0989 memory: 14974 loss_prob: 1.2696 loss_thr: 0.6368 loss_db: 0.1993 loss: 2.1057 08/28 15:03:26 - mmengine - INFO - Epoch(train) [69][35/63] lr: 6.6417e-03 eta: 20:14:47 time: 0.7586 data_time: 0.0401 memory: 14974 loss_prob: 1.3322 loss_thr: 0.6490 loss_db: 0.2118 loss: 2.1931 08/28 15:03:31 - mmengine - INFO - Epoch(train) [69][40/63] lr: 6.6417e-03 eta: 20:14:05 time: 0.8294 data_time: 0.1099 memory: 14974 loss_prob: 1.3283 loss_thr: 0.6210 loss_db: 0.2131 loss: 2.1624 08/28 15:03:35 - mmengine - INFO - Epoch(train) [69][45/63] lr: 6.6417e-03 eta: 20:14:05 time: 0.8470 data_time: 0.1226 memory: 14974 loss_prob: 1.3828 loss_thr: 0.6568 loss_db: 0.2269 loss: 2.2665 08/28 15:03:39 - mmengine - INFO - Epoch(train) [69][50/63] lr: 6.6417e-03 eta: 20:13:16 time: 0.7822 data_time: 0.0629 memory: 14974 loss_prob: 1.3091 loss_thr: 0.6690 loss_db: 0.2167 loss: 2.1948 08/28 15:03:44 - mmengine - INFO - Epoch(train) [69][55/63] lr: 6.6417e-03 eta: 20:13:16 time: 0.8611 data_time: 0.1179 memory: 14974 loss_prob: 1.2068 loss_thr: 0.6313 loss_db: 0.1965 loss: 2.0345 08/28 15:03:49 - mmengine - INFO - Epoch(train) [69][60/63] lr: 6.6417e-03 eta: 20:13:00 time: 0.9865 data_time: 0.1291 memory: 14974 loss_prob: 1.2460 loss_thr: 0.6278 loss_db: 0.2016 loss: 2.0753 08/28 15:03:51 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:03:56 - mmengine - INFO - Epoch(train) [70][5/63] lr: 6.6364e-03 eta: 20:13:00 time: 0.9494 data_time: 0.1825 memory: 14974 loss_prob: 1.3579 loss_thr: 0.6577 loss_db: 0.2173 loss: 2.2329 08/28 15:04:01 - mmengine - INFO - Epoch(train) [70][10/63] lr: 6.6364e-03 eta: 20:11:46 time: 0.9591 data_time: 0.2399 memory: 14974 loss_prob: 1.2638 loss_thr: 0.6237 loss_db: 0.2008 loss: 2.0883 08/28 15:04:06 - mmengine - INFO - Epoch(train) [70][15/63] lr: 6.6364e-03 eta: 20:11:46 time: 0.9869 data_time: 0.1293 memory: 14974 loss_prob: 1.2934 loss_thr: 0.6283 loss_db: 0.2073 loss: 2.1291 08/28 15:04:11 - mmengine - INFO - Epoch(train) [70][20/63] lr: 6.6364e-03 eta: 20:11:33 time: 1.0039 data_time: 0.0662 memory: 14974 loss_prob: 1.2213 loss_thr: 0.6142 loss_db: 0.1962 loss: 2.0317 08/28 15:04:15 - mmengine - INFO - Epoch(train) [70][25/63] lr: 6.6364e-03 eta: 20:11:33 time: 0.8864 data_time: 0.0895 memory: 14974 loss_prob: 1.1981 loss_thr: 0.6267 loss_db: 0.1921 loss: 2.0168 08/28 15:04:19 - mmengine - INFO - Epoch(train) [70][30/63] lr: 6.6364e-03 eta: 20:10:51 time: 0.8260 data_time: 0.0861 memory: 14974 loss_prob: 1.2940 loss_thr: 0.6374 loss_db: 0.2120 loss: 2.1434 08/28 15:04:23 - mmengine - INFO - Epoch(train) [70][35/63] lr: 6.6364e-03 eta: 20:10:51 time: 0.7889 data_time: 0.0516 memory: 14974 loss_prob: 1.2369 loss_thr: 0.6014 loss_db: 0.1995 loss: 2.0378 08/28 15:04:27 - mmengine - INFO - Epoch(train) [70][40/63] lr: 6.6364e-03 eta: 20:10:09 time: 0.8227 data_time: 0.1048 memory: 14974 loss_prob: 1.2815 loss_thr: 0.6169 loss_db: 0.2056 loss: 2.1040 08/28 15:04:31 - mmengine - INFO - Epoch(train) [70][45/63] lr: 6.6364e-03 eta: 20:10:09 time: 0.8348 data_time: 0.1109 memory: 14974 loss_prob: 1.3194 loss_thr: 0.6328 loss_db: 0.2167 loss: 2.1689 08/28 15:04:35 - mmengine - INFO - Epoch(train) [70][50/63] lr: 6.6364e-03 eta: 20:09:28 time: 0.8300 data_time: 0.0547 memory: 14974 loss_prob: 1.1859 loss_thr: 0.5993 loss_db: 0.1936 loss: 1.9788 08/28 15:04:39 - mmengine - INFO - Epoch(train) [70][55/63] lr: 6.6364e-03 eta: 20:09:28 time: 0.8443 data_time: 0.0699 memory: 14974 loss_prob: 1.1292 loss_thr: 0.5990 loss_db: 0.1824 loss: 1.9106 08/28 15:04:43 - mmengine - INFO - Epoch(train) [70][60/63] lr: 6.6364e-03 eta: 20:08:39 time: 0.7799 data_time: 0.0669 memory: 14974 loss_prob: 1.2525 loss_thr: 0.6342 loss_db: 0.2040 loss: 2.0907 08/28 15:04:45 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:04:50 - mmengine - INFO - Epoch(train) [71][5/63] lr: 6.6311e-03 eta: 20:08:39 time: 0.8611 data_time: 0.1691 memory: 14974 loss_prob: 1.3813 loss_thr: 0.6650 loss_db: 0.2266 loss: 2.2730 08/28 15:04:55 - mmengine - INFO - Epoch(train) [71][10/63] lr: 6.6311e-03 eta: 20:07:29 time: 0.9721 data_time: 0.2479 memory: 14974 loss_prob: 1.6755 loss_thr: 0.7108 loss_db: 0.2592 loss: 2.6455 08/28 15:04:59 - mmengine - INFO - Epoch(train) [71][15/63] lr: 6.6311e-03 eta: 20:07:29 time: 0.8549 data_time: 0.1282 memory: 14974 loss_prob: 1.8822 loss_thr: 0.7230 loss_db: 0.2962 loss: 2.9014 08/28 15:05:04 - mmengine - INFO - Epoch(train) [71][20/63] lr: 6.6311e-03 eta: 20:06:56 time: 0.8719 data_time: 0.0662 memory: 14974 loss_prob: 1.7059 loss_thr: 0.6894 loss_db: 0.2813 loss: 2.6766 08/28 15:05:09 - mmengine - INFO - Epoch(train) [71][25/63] lr: 6.6311e-03 eta: 20:06:56 time: 1.0242 data_time: 0.1286 memory: 14974 loss_prob: 1.7049 loss_thr: 0.7034 loss_db: 0.2838 loss: 2.6920 08/28 15:05:14 - mmengine - INFO - Epoch(train) [71][30/63] lr: 6.6311e-03 eta: 20:06:43 time: 0.9992 data_time: 0.1299 memory: 14974 loss_prob: 1.7553 loss_thr: 0.7255 loss_db: 0.2905 loss: 2.7713 08/28 15:05:18 - mmengine - INFO - Epoch(train) [71][35/63] lr: 6.6311e-03 eta: 20:06:43 time: 0.9045 data_time: 0.1314 memory: 14974 loss_prob: 1.6790 loss_thr: 0.6968 loss_db: 0.2721 loss: 2.6479 08/28 15:05:22 - mmengine - INFO - Epoch(train) [71][40/63] lr: 6.6311e-03 eta: 20:06:05 time: 0.8465 data_time: 0.1323 memory: 14974 loss_prob: 1.6199 loss_thr: 0.6735 loss_db: 0.2643 loss: 2.5577 08/28 15:05:27 - mmengine - INFO - Epoch(train) [71][45/63] lr: 6.6311e-03 eta: 20:06:05 time: 0.9222 data_time: 0.0708 memory: 14974 loss_prob: 1.5195 loss_thr: 0.6631 loss_db: 0.2459 loss: 2.4284 08/28 15:05:32 - mmengine - INFO - Epoch(train) [71][50/63] lr: 6.6311e-03 eta: 20:05:44 time: 0.9467 data_time: 0.0936 memory: 14974 loss_prob: 1.4026 loss_thr: 0.6515 loss_db: 0.2202 loss: 2.2742 08/28 15:05:36 - mmengine - INFO - Epoch(train) [71][55/63] lr: 6.6311e-03 eta: 20:05:44 time: 0.8414 data_time: 0.0928 memory: 14974 loss_prob: 1.5222 loss_thr: 0.6680 loss_db: 0.2412 loss: 2.4314 08/28 15:05:41 - mmengine - INFO - Epoch(train) [71][60/63] lr: 6.6311e-03 eta: 20:05:17 time: 0.9148 data_time: 0.0564 memory: 14974 loss_prob: 1.4932 loss_thr: 0.6563 loss_db: 0.2354 loss: 2.3850 08/28 15:05:43 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:05:49 - mmengine - INFO - Epoch(train) [72][5/63] lr: 6.6258e-03 eta: 20:05:17 time: 0.9316 data_time: 0.2323 memory: 14974 loss_prob: 1.2768 loss_thr: 0.6470 loss_db: 0.2036 loss: 2.1274 08/28 15:05:53 - mmengine - INFO - Epoch(train) [72][10/63] lr: 6.6258e-03 eta: 20:04:04 time: 0.9425 data_time: 0.2079 memory: 14974 loss_prob: 1.2310 loss_thr: 0.6272 loss_db: 0.1951 loss: 2.0532 08/28 15:05:57 - mmengine - INFO - Epoch(train) [72][15/63] lr: 6.6258e-03 eta: 20:04:04 time: 0.8040 data_time: 0.0788 memory: 14974 loss_prob: 1.2403 loss_thr: 0.6337 loss_db: 0.2011 loss: 2.0751 08/28 15:06:02 - mmengine - INFO - Epoch(train) [72][20/63] lr: 6.6258e-03 eta: 20:03:31 time: 0.8719 data_time: 0.0574 memory: 14974 loss_prob: 1.3206 loss_thr: 0.6389 loss_db: 0.2120 loss: 2.1716 08/28 15:06:06 - mmengine - INFO - Epoch(train) [72][25/63] lr: 6.6258e-03 eta: 20:03:31 time: 0.8807 data_time: 0.0696 memory: 14974 loss_prob: 1.3762 loss_thr: 0.6441 loss_db: 0.2194 loss: 2.2397 08/28 15:06:10 - mmengine - INFO - Epoch(train) [72][30/63] lr: 6.6258e-03 eta: 20:02:52 time: 0.8317 data_time: 0.1184 memory: 14974 loss_prob: 1.2923 loss_thr: 0.6403 loss_db: 0.2087 loss: 2.1413 08/28 15:06:14 - mmengine - INFO - Epoch(train) [72][35/63] lr: 6.6258e-03 eta: 20:02:52 time: 0.8260 data_time: 0.1032 memory: 14974 loss_prob: 1.2959 loss_thr: 0.6410 loss_db: 0.2106 loss: 2.1474 08/28 15:06:19 - mmengine - INFO - Epoch(train) [72][40/63] lr: 6.6258e-03 eta: 20:02:20 time: 0.8754 data_time: 0.0843 memory: 14974 loss_prob: 1.4318 loss_thr: 0.6553 loss_db: 0.2288 loss: 2.3160 08/28 15:06:25 - mmengine - INFO - Epoch(train) [72][45/63] lr: 6.6258e-03 eta: 20:02:20 time: 1.0877 data_time: 0.1324 memory: 14974 loss_prob: 1.4530 loss_thr: 0.6765 loss_db: 0.2296 loss: 2.3592 08/28 15:06:29 - mmengine - INFO - Epoch(train) [72][50/63] lr: 6.6258e-03 eta: 20:02:12 time: 1.0274 data_time: 0.1352 memory: 14974 loss_prob: 1.5134 loss_thr: 0.6682 loss_db: 0.2441 loss: 2.4257 08/28 15:06:33 - mmengine - INFO - Epoch(train) [72][55/63] lr: 6.6258e-03 eta: 20:02:12 time: 0.8724 data_time: 0.1260 memory: 14974 loss_prob: 1.4152 loss_thr: 0.6537 loss_db: 0.2249 loss: 2.2938 08/28 15:06:39 - mmengine - INFO - Epoch(train) [72][60/63] lr: 6.6258e-03 eta: 20:01:55 time: 0.9755 data_time: 0.1187 memory: 14974 loss_prob: 1.5885 loss_thr: 0.6727 loss_db: 0.2629 loss: 2.5241 08/28 15:06:41 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:06:47 - mmengine - INFO - Epoch(train) [73][5/63] lr: 6.6205e-03 eta: 20:01:55 time: 1.0751 data_time: 0.2009 memory: 14974 loss_prob: 1.5786 loss_thr: 0.6573 loss_db: 0.2633 loss: 2.4992 08/28 15:06:52 - mmengine - INFO - Epoch(train) [73][10/63] lr: 6.6205e-03 eta: 20:00:52 time: 1.0004 data_time: 0.2220 memory: 14974 loss_prob: 1.3678 loss_thr: 0.6446 loss_db: 0.2148 loss: 2.2272 08/28 15:06:56 - mmengine - INFO - Epoch(train) [73][15/63] lr: 6.6205e-03 eta: 20:00:52 time: 0.8918 data_time: 0.0883 memory: 14974 loss_prob: 1.3919 loss_thr: 0.6627 loss_db: 0.2191 loss: 2.2737 08/28 15:07:00 - mmengine - INFO - Epoch(train) [73][20/63] lr: 6.6205e-03 eta: 20:00:11 time: 0.8174 data_time: 0.0677 memory: 14974 loss_prob: 1.3109 loss_thr: 0.6440 loss_db: 0.2102 loss: 2.1652 08/28 15:07:04 - mmengine - INFO - Epoch(train) [73][25/63] lr: 6.6205e-03 eta: 20:00:11 time: 0.8417 data_time: 0.1016 memory: 14974 loss_prob: 1.2928 loss_thr: 0.6333 loss_db: 0.2124 loss: 2.1385 08/28 15:07:08 - mmengine - INFO - Epoch(train) [73][30/63] lr: 6.6205e-03 eta: 19:59:37 time: 0.8551 data_time: 0.1001 memory: 14974 loss_prob: 1.3821 loss_thr: 0.6370 loss_db: 0.2238 loss: 2.2430 08/28 15:07:12 - mmengine - INFO - Epoch(train) [73][35/63] lr: 6.6205e-03 eta: 19:59:37 time: 0.7710 data_time: 0.0501 memory: 14974 loss_prob: 1.4519 loss_thr: 0.6578 loss_db: 0.2323 loss: 2.3421 08/28 15:07:16 - mmengine - INFO - Epoch(train) [73][40/63] lr: 6.6205e-03 eta: 19:58:52 time: 0.7886 data_time: 0.0591 memory: 14974 loss_prob: 1.3484 loss_thr: 0.6622 loss_db: 0.2148 loss: 2.2254 08/28 15:07:20 - mmengine - INFO - Epoch(train) [73][45/63] lr: 6.6205e-03 eta: 19:58:52 time: 0.8140 data_time: 0.0633 memory: 14974 loss_prob: 1.3949 loss_thr: 0.6210 loss_db: 0.2146 loss: 2.2305 08/28 15:07:24 - mmengine - INFO - Epoch(train) [73][50/63] lr: 6.6205e-03 eta: 19:58:08 time: 0.7980 data_time: 0.0690 memory: 14974 loss_prob: 1.4192 loss_thr: 0.6138 loss_db: 0.2210 loss: 2.2540 08/28 15:07:28 - mmengine - INFO - Epoch(train) [73][55/63] lr: 6.6205e-03 eta: 19:58:08 time: 0.8355 data_time: 0.1169 memory: 14974 loss_prob: 1.4587 loss_thr: 0.6405 loss_db: 0.2404 loss: 2.3395 08/28 15:07:33 - mmengine - INFO - Epoch(train) [73][60/63] lr: 6.6205e-03 eta: 19:57:32 time: 0.8422 data_time: 0.1195 memory: 14974 loss_prob: 1.5361 loss_thr: 0.6465 loss_db: 0.2552 loss: 2.4377 08/28 15:07:36 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:07:42 - mmengine - INFO - Epoch(train) [74][5/63] lr: 6.6152e-03 eta: 19:57:32 time: 1.0602 data_time: 0.1978 memory: 14974 loss_prob: 1.6628 loss_thr: 0.7062 loss_db: 0.2770 loss: 2.6460 08/28 15:07:47 - mmengine - INFO - Epoch(train) [74][10/63] lr: 6.6152e-03 eta: 19:56:50 time: 1.1281 data_time: 0.2660 memory: 14974 loss_prob: 1.5656 loss_thr: 0.6968 loss_db: 0.2564 loss: 2.5188 08/28 15:07:51 - mmengine - INFO - Epoch(train) [74][15/63] lr: 6.6152e-03 eta: 19:56:50 time: 0.9116 data_time: 0.1349 memory: 14974 loss_prob: 1.4157 loss_thr: 0.6803 loss_db: 0.2312 loss: 2.3272 08/28 15:07:55 - mmengine - INFO - Epoch(train) [74][20/63] lr: 6.6152e-03 eta: 19:56:15 time: 0.8514 data_time: 0.0758 memory: 14974 loss_prob: 1.3920 loss_thr: 0.6677 loss_db: 0.2351 loss: 2.2949 08/28 15:08:01 - mmengine - INFO - Epoch(train) [74][25/63] lr: 6.6152e-03 eta: 19:56:15 time: 1.0311 data_time: 0.1340 memory: 14974 loss_prob: 1.4066 loss_thr: 0.6692 loss_db: 0.2304 loss: 2.3062 08/28 15:08:06 - mmengine - INFO - Epoch(train) [74][30/63] lr: 6.6152e-03 eta: 19:56:05 time: 1.0097 data_time: 0.1218 memory: 14974 loss_prob: 1.3161 loss_thr: 0.6504 loss_db: 0.2120 loss: 2.1785 08/28 15:08:09 - mmengine - INFO - Epoch(train) [74][35/63] lr: 6.6152e-03 eta: 19:56:05 time: 0.8273 data_time: 0.0591 memory: 14974 loss_prob: 1.2672 loss_thr: 0.6229 loss_db: 0.2040 loss: 2.0941 08/28 15:08:15 - mmengine - INFO - Epoch(train) [74][40/63] lr: 6.6152e-03 eta: 19:55:41 time: 0.9247 data_time: 0.0726 memory: 14974 loss_prob: 1.3408 loss_thr: 0.6488 loss_db: 0.2147 loss: 2.2043 08/28 15:08:19 - mmengine - INFO - Epoch(train) [74][45/63] lr: 6.6152e-03 eta: 19:55:41 time: 0.9167 data_time: 0.0737 memory: 14974 loss_prob: 1.4771 loss_thr: 0.6710 loss_db: 0.2422 loss: 2.3904 08/28 15:08:23 - mmengine - INFO - Epoch(train) [74][50/63] lr: 6.6152e-03 eta: 19:54:56 time: 0.7815 data_time: 0.0728 memory: 14974 loss_prob: 1.3699 loss_thr: 0.6491 loss_db: 0.2219 loss: 2.2410 08/28 15:08:27 - mmengine - INFO - Epoch(train) [74][55/63] lr: 6.6152e-03 eta: 19:54:56 time: 0.8600 data_time: 0.1120 memory: 14974 loss_prob: 1.2149 loss_thr: 0.6290 loss_db: 0.1953 loss: 2.0391 08/28 15:08:31 - mmengine - INFO - Epoch(train) [74][60/63] lr: 6.6152e-03 eta: 19:54:21 time: 0.8451 data_time: 0.0922 memory: 14974 loss_prob: 1.3566 loss_thr: 0.6441 loss_db: 0.2163 loss: 2.2169 08/28 15:08:33 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:08:39 - mmengine - INFO - Epoch(train) [75][5/63] lr: 6.6100e-03 eta: 19:54:21 time: 0.9190 data_time: 0.1938 memory: 14974 loss_prob: 1.4896 loss_thr: 0.6310 loss_db: 0.2357 loss: 2.3563 08/28 15:08:43 - mmengine - INFO - Epoch(train) [75][10/63] lr: 6.6100e-03 eta: 19:53:17 time: 0.9767 data_time: 0.2503 memory: 14974 loss_prob: 1.3654 loss_thr: 0.6052 loss_db: 0.2179 loss: 2.1885 08/28 15:08:47 - mmengine - INFO - Epoch(train) [75][15/63] lr: 6.6100e-03 eta: 19:53:17 time: 0.8568 data_time: 0.1424 memory: 14974 loss_prob: 1.3044 loss_thr: 0.6104 loss_db: 0.2111 loss: 2.1258 08/28 15:08:51 - mmengine - INFO - Epoch(train) [75][20/63] lr: 6.6100e-03 eta: 19:52:39 time: 0.8265 data_time: 0.0965 memory: 14974 loss_prob: 1.4326 loss_thr: 0.6433 loss_db: 0.2328 loss: 2.3087 08/28 15:08:58 - mmengine - INFO - Epoch(train) [75][25/63] lr: 6.6100e-03 eta: 19:52:39 time: 1.0239 data_time: 0.1300 memory: 14974 loss_prob: 1.4343 loss_thr: 0.6628 loss_db: 0.2310 loss: 2.3281 08/28 15:09:02 - mmengine - INFO - Epoch(train) [75][30/63] lr: 6.6100e-03 eta: 19:52:41 time: 1.0913 data_time: 0.1553 memory: 14974 loss_prob: 1.2656 loss_thr: 0.6142 loss_db: 0.2050 loss: 2.0848 08/28 15:09:07 - mmengine - INFO - Epoch(train) [75][35/63] lr: 6.6100e-03 eta: 19:52:41 time: 0.9219 data_time: 0.1438 memory: 14974 loss_prob: 1.4377 loss_thr: 0.6246 loss_db: 0.2279 loss: 2.2902 08/28 15:09:11 - mmengine - INFO - Epoch(train) [75][40/63] lr: 6.6100e-03 eta: 19:52:06 time: 0.8458 data_time: 0.1139 memory: 14974 loss_prob: 1.5240 loss_thr: 0.6694 loss_db: 0.2420 loss: 2.4354 08/28 15:09:16 - mmengine - INFO - Epoch(train) [75][45/63] lr: 6.6100e-03 eta: 19:52:06 time: 0.9093 data_time: 0.0913 memory: 14974 loss_prob: 1.3226 loss_thr: 0.6441 loss_db: 0.2141 loss: 2.1808 08/28 15:09:21 - mmengine - INFO - Epoch(train) [75][50/63] lr: 6.6100e-03 eta: 19:51:52 time: 0.9781 data_time: 0.1157 memory: 14974 loss_prob: 1.2911 loss_thr: 0.6273 loss_db: 0.2106 loss: 2.1290 08/28 15:09:25 - mmengine - INFO - Epoch(train) [75][55/63] lr: 6.6100e-03 eta: 19:51:52 time: 0.8993 data_time: 0.0716 memory: 14974 loss_prob: 1.3359 loss_thr: 0.6510 loss_db: 0.2197 loss: 2.2066 08/28 15:09:29 - mmengine - INFO - Epoch(train) [75][60/63] lr: 6.6100e-03 eta: 19:51:23 time: 0.8822 data_time: 0.0591 memory: 14974 loss_prob: 1.3728 loss_thr: 0.6627 loss_db: 0.2239 loss: 2.2594 08/28 15:09:32 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:09:37 - mmengine - INFO - Epoch(train) [76][5/63] lr: 6.6047e-03 eta: 19:51:23 time: 0.9297 data_time: 0.2288 memory: 14974 loss_prob: 1.3879 loss_thr: 0.6169 loss_db: 0.2227 loss: 2.2274 08/28 15:09:41 - mmengine - INFO - Epoch(train) [76][10/63] lr: 6.6047e-03 eta: 19:50:12 time: 0.9252 data_time: 0.2079 memory: 14974 loss_prob: 1.4462 loss_thr: 0.6120 loss_db: 0.2313 loss: 2.2895 08/28 15:09:46 - mmengine - INFO - Epoch(train) [76][15/63] lr: 6.6047e-03 eta: 19:50:12 time: 0.9321 data_time: 0.0977 memory: 14974 loss_prob: 1.3305 loss_thr: 0.6092 loss_db: 0.2101 loss: 2.1498 08/28 15:09:50 - mmengine - INFO - Epoch(train) [76][20/63] lr: 6.6047e-03 eta: 19:49:48 time: 0.9142 data_time: 0.0696 memory: 14974 loss_prob: 1.1886 loss_thr: 0.6284 loss_db: 0.1912 loss: 2.0082 08/28 15:09:54 - mmengine - INFO - Epoch(train) [76][25/63] lr: 6.6047e-03 eta: 19:49:48 time: 0.7775 data_time: 0.0462 memory: 14974 loss_prob: 1.2842 loss_thr: 0.6531 loss_db: 0.2055 loss: 2.1428 08/28 15:09:59 - mmengine - INFO - Epoch(train) [76][30/63] lr: 6.6047e-03 eta: 19:49:14 time: 0.8477 data_time: 0.1107 memory: 14974 loss_prob: 1.3035 loss_thr: 0.6166 loss_db: 0.2065 loss: 2.1266 08/28 15:10:03 - mmengine - INFO - Epoch(train) [76][35/63] lr: 6.6047e-03 eta: 19:49:14 time: 0.8459 data_time: 0.1155 memory: 14974 loss_prob: 1.2506 loss_thr: 0.6089 loss_db: 0.2018 loss: 2.0614 08/28 15:10:08 - mmengine - INFO - Epoch(train) [76][40/63] lr: 6.6047e-03 eta: 19:48:51 time: 0.9185 data_time: 0.1091 memory: 14974 loss_prob: 1.2932 loss_thr: 0.6309 loss_db: 0.2080 loss: 2.1320 08/28 15:10:13 - mmengine - INFO - Epoch(train) [76][45/63] lr: 6.6047e-03 eta: 19:48:51 time: 0.9956 data_time: 0.1563 memory: 14974 loss_prob: 1.2473 loss_thr: 0.6115 loss_db: 0.2016 loss: 2.0603 08/28 15:10:18 - mmengine - INFO - Epoch(train) [76][50/63] lr: 6.6047e-03 eta: 19:48:40 time: 1.0018 data_time: 0.1182 memory: 14974 loss_prob: 1.2298 loss_thr: 0.6056 loss_db: 0.2070 loss: 2.0423 08/28 15:10:22 - mmengine - INFO - Epoch(train) [76][55/63] lr: 6.6047e-03 eta: 19:48:40 time: 0.9831 data_time: 0.1331 memory: 14974 loss_prob: 1.3259 loss_thr: 0.6351 loss_db: 0.2227 loss: 2.1837 08/28 15:10:27 - mmengine - INFO - Epoch(train) [76][60/63] lr: 6.6047e-03 eta: 19:48:20 time: 0.9385 data_time: 0.1717 memory: 14974 loss_prob: 1.2660 loss_thr: 0.6124 loss_db: 0.2051 loss: 2.0835 08/28 15:10:30 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:10:36 - mmengine - INFO - Epoch(train) [77][5/63] lr: 6.5994e-03 eta: 19:48:20 time: 1.0090 data_time: 0.2005 memory: 14974 loss_prob: 1.4410 loss_thr: 0.6508 loss_db: 0.2368 loss: 2.3286 08/28 15:10:40 - mmengine - INFO - Epoch(train) [77][10/63] lr: 6.5994e-03 eta: 19:47:25 time: 1.0301 data_time: 0.2264 memory: 14974 loss_prob: 1.2961 loss_thr: 0.6266 loss_db: 0.2090 loss: 2.1317 08/28 15:10:45 - mmengine - INFO - Epoch(train) [77][15/63] lr: 6.5994e-03 eta: 19:47:25 time: 0.9429 data_time: 0.0839 memory: 14974 loss_prob: 1.3063 loss_thr: 0.6347 loss_db: 0.2096 loss: 2.1507 08/28 15:10:49 - mmengine - INFO - Epoch(train) [77][20/63] lr: 6.5994e-03 eta: 19:47:03 time: 0.9200 data_time: 0.0545 memory: 14974 loss_prob: 1.2073 loss_thr: 0.6362 loss_db: 0.1967 loss: 2.0402 08/28 15:10:54 - mmengine - INFO - Epoch(train) [77][25/63] lr: 6.5994e-03 eta: 19:47:03 time: 0.8463 data_time: 0.1070 memory: 14974 loss_prob: 1.3205 loss_thr: 0.6239 loss_db: 0.2184 loss: 2.1628 08/28 15:10:58 - mmengine - INFO - Epoch(train) [77][30/63] lr: 6.5994e-03 eta: 19:46:34 time: 0.8808 data_time: 0.1102 memory: 14974 loss_prob: 1.4668 loss_thr: 0.6459 loss_db: 0.2457 loss: 2.3584 08/28 15:11:02 - mmengine - INFO - Epoch(train) [77][35/63] lr: 6.5994e-03 eta: 19:46:34 time: 0.8222 data_time: 0.0540 memory: 14974 loss_prob: 1.4091 loss_thr: 0.6644 loss_db: 0.2351 loss: 2.3086 08/28 15:11:06 - mmengine - INFO - Epoch(train) [77][40/63] lr: 6.5994e-03 eta: 19:45:53 time: 0.7972 data_time: 0.0586 memory: 14974 loss_prob: 1.3531 loss_thr: 0.6456 loss_db: 0.2246 loss: 2.2234 08/28 15:11:10 - mmengine - INFO - Epoch(train) [77][45/63] lr: 6.5994e-03 eta: 19:45:53 time: 0.8167 data_time: 0.0654 memory: 14974 loss_prob: 1.3177 loss_thr: 0.6407 loss_db: 0.2164 loss: 2.1748 08/28 15:11:14 - mmengine - INFO - Epoch(train) [77][50/63] lr: 6.5994e-03 eta: 19:45:16 time: 0.8190 data_time: 0.0619 memory: 14974 loss_prob: 1.5490 loss_thr: 0.6781 loss_db: 0.2493 loss: 2.4764 08/28 15:11:19 - mmengine - INFO - Epoch(train) [77][55/63] lr: 6.5994e-03 eta: 19:45:16 time: 0.8616 data_time: 0.1325 memory: 14974 loss_prob: 1.5669 loss_thr: 0.6751 loss_db: 0.2496 loss: 2.4915 08/28 15:11:23 - mmengine - INFO - Epoch(train) [77][60/63] lr: 6.5994e-03 eta: 19:44:44 time: 0.8513 data_time: 0.1389 memory: 14974 loss_prob: 1.3067 loss_thr: 0.6240 loss_db: 0.2047 loss: 2.1354 08/28 15:11:26 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:11:35 - mmengine - INFO - Epoch(train) [78][5/63] lr: 6.5941e-03 eta: 19:44:44 time: 1.2978 data_time: 0.1910 memory: 14974 loss_prob: 1.3590 loss_thr: 0.6502 loss_db: 0.2230 loss: 2.2322 08/28 15:11:40 - mmengine - INFO - Epoch(train) [78][10/63] lr: 6.5941e-03 eta: 19:44:39 time: 1.3651 data_time: 0.2984 memory: 14974 loss_prob: 1.2993 loss_thr: 0.6272 loss_db: 0.2101 loss: 2.1366 08/28 15:11:45 - mmengine - INFO - Epoch(train) [78][15/63] lr: 6.5941e-03 eta: 19:44:39 time: 1.0426 data_time: 0.1673 memory: 14974 loss_prob: 1.3663 loss_thr: 0.6301 loss_db: 0.2189 loss: 2.2153 08/28 15:11:52 - mmengine - INFO - Epoch(train) [78][20/63] lr: 6.5941e-03 eta: 19:44:52 time: 1.1640 data_time: 0.1235 memory: 14974 loss_prob: 1.4581 loss_thr: 0.6615 loss_db: 0.2356 loss: 2.3552 08/28 15:11:56 - mmengine - INFO - Epoch(train) [78][25/63] lr: 6.5941e-03 eta: 19:44:52 time: 1.1104 data_time: 0.1267 memory: 14974 loss_prob: 1.3076 loss_thr: 0.6372 loss_db: 0.2094 loss: 2.1542 08/28 15:12:02 - mmengine - INFO - Epoch(train) [78][30/63] lr: 6.5941e-03 eta: 19:44:53 time: 1.0779 data_time: 0.0952 memory: 14974 loss_prob: 1.2430 loss_thr: 0.6257 loss_db: 0.2000 loss: 2.0687 08/28 15:12:07 - mmengine - INFO - Epoch(train) [78][35/63] lr: 6.5941e-03 eta: 19:44:53 time: 1.0494 data_time: 0.0958 memory: 14974 loss_prob: 1.3203 loss_thr: 0.6594 loss_db: 0.2163 loss: 2.1961 08/28 15:12:11 - mmengine - INFO - Epoch(train) [78][40/63] lr: 6.5941e-03 eta: 19:44:17 time: 0.8291 data_time: 0.1019 memory: 14974 loss_prob: 1.2819 loss_thr: 0.6507 loss_db: 0.2111 loss: 2.1437 08/28 15:12:15 - mmengine - INFO - Epoch(train) [78][45/63] lr: 6.5941e-03 eta: 19:44:17 time: 0.8798 data_time: 0.0950 memory: 14974 loss_prob: 1.1940 loss_thr: 0.6488 loss_db: 0.1909 loss: 2.0337 08/28 15:12:19 - mmengine - INFO - Epoch(train) [78][50/63] lr: 6.5941e-03 eta: 19:43:46 time: 0.8561 data_time: 0.0709 memory: 14974 loss_prob: 1.2145 loss_thr: 0.6335 loss_db: 0.1916 loss: 2.0396 08/28 15:12:23 - mmengine - INFO - Epoch(train) [78][55/63] lr: 6.5941e-03 eta: 19:43:46 time: 0.7994 data_time: 0.0806 memory: 14974 loss_prob: 1.1970 loss_thr: 0.6136 loss_db: 0.1933 loss: 2.0039 08/28 15:12:27 - mmengine - INFO - Epoch(train) [78][60/63] lr: 6.5941e-03 eta: 19:43:09 time: 0.8160 data_time: 0.0873 memory: 14974 loss_prob: 1.2325 loss_thr: 0.6328 loss_db: 0.1993 loss: 2.0646 08/28 15:12:30 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:12:35 - mmengine - INFO - Epoch(train) [79][5/63] lr: 6.5888e-03 eta: 19:43:09 time: 0.8642 data_time: 0.1679 memory: 14974 loss_prob: 1.3036 loss_thr: 0.6528 loss_db: 0.2079 loss: 2.1644 08/28 15:12:39 - mmengine - INFO - Epoch(train) [79][10/63] lr: 6.5888e-03 eta: 19:42:06 time: 0.9620 data_time: 0.2243 memory: 14974 loss_prob: 1.2548 loss_thr: 0.6329 loss_db: 0.1983 loss: 2.0860 08/28 15:12:45 - mmengine - INFO - Epoch(train) [79][15/63] lr: 6.5888e-03 eta: 19:42:06 time: 1.0119 data_time: 0.1280 memory: 14974 loss_prob: 1.4535 loss_thr: 0.6493 loss_db: 0.2308 loss: 2.3337 08/28 15:12:50 - mmengine - INFO - Epoch(train) [79][20/63] lr: 6.5888e-03 eta: 19:42:01 time: 1.0371 data_time: 0.1361 memory: 14974 loss_prob: 1.3342 loss_thr: 0.6037 loss_db: 0.2128 loss: 2.1506 08/28 15:12:54 - mmengine - INFO - Epoch(train) [79][25/63] lr: 6.5888e-03 eta: 19:42:01 time: 0.8938 data_time: 0.1376 memory: 14974 loss_prob: 1.1678 loss_thr: 0.5827 loss_db: 0.1866 loss: 1.9372 08/28 15:12:58 - mmengine - INFO - Epoch(train) [79][30/63] lr: 6.5888e-03 eta: 19:41:22 time: 0.8040 data_time: 0.0659 memory: 14974 loss_prob: 1.3046 loss_thr: 0.6243 loss_db: 0.2094 loss: 2.1383 08/28 15:13:03 - mmengine - INFO - Epoch(train) [79][35/63] lr: 6.5888e-03 eta: 19:41:22 time: 0.9733 data_time: 0.1277 memory: 14974 loss_prob: 1.2570 loss_thr: 0.6280 loss_db: 0.2010 loss: 2.0861 08/28 15:13:08 - mmengine - INFO - Epoch(train) [79][40/63] lr: 6.5888e-03 eta: 19:41:22 time: 1.0721 data_time: 0.1302 memory: 14974 loss_prob: 1.3035 loss_thr: 0.6496 loss_db: 0.2123 loss: 2.1653 08/28 15:13:13 - mmengine - INFO - Epoch(train) [79][45/63] lr: 6.5888e-03 eta: 19:41:22 time: 0.9525 data_time: 0.1002 memory: 14974 loss_prob: 1.3923 loss_thr: 0.6712 loss_db: 0.2318 loss: 2.2954 08/28 15:13:18 - mmengine - INFO - Epoch(train) [79][50/63] lr: 6.5888e-03 eta: 19:41:05 time: 0.9504 data_time: 0.0961 memory: 14974 loss_prob: 1.3120 loss_thr: 0.6508 loss_db: 0.2154 loss: 2.1782 08/28 15:13:22 - mmengine - INFO - Epoch(train) [79][55/63] lr: 6.5888e-03 eta: 19:41:05 time: 0.8996 data_time: 0.0578 memory: 14974 loss_prob: 1.2454 loss_thr: 0.6526 loss_db: 0.2022 loss: 2.1002 08/28 15:13:26 - mmengine - INFO - Epoch(train) [79][60/63] lr: 6.5888e-03 eta: 19:40:32 time: 0.8454 data_time: 0.1117 memory: 14974 loss_prob: 1.2236 loss_thr: 0.6438 loss_db: 0.2005 loss: 2.0679 08/28 15:13:28 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:13:34 - mmengine - INFO - Epoch(train) [80][5/63] lr: 6.5835e-03 eta: 19:40:32 time: 0.8927 data_time: 0.1821 memory: 14974 loss_prob: 1.1809 loss_thr: 0.6033 loss_db: 0.1913 loss: 1.9755 08/28 15:13:38 - mmengine - INFO - Epoch(train) [80][10/63] lr: 6.5835e-03 eta: 19:39:31 time: 0.9608 data_time: 0.2117 memory: 14974 loss_prob: 1.2875 loss_thr: 0.6520 loss_db: 0.2006 loss: 2.1400 08/28 15:13:42 - mmengine - INFO - Epoch(train) [80][15/63] lr: 6.5835e-03 eta: 19:39:31 time: 0.7961 data_time: 0.0667 memory: 14974 loss_prob: 1.2287 loss_thr: 0.6567 loss_db: 0.1916 loss: 2.0770 08/28 15:13:47 - mmengine - INFO - Epoch(train) [80][20/63] lr: 6.5835e-03 eta: 19:39:01 time: 0.8671 data_time: 0.0379 memory: 14974 loss_prob: 1.1007 loss_thr: 0.6012 loss_db: 0.1812 loss: 1.8831 08/28 15:13:50 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:13:51 - mmengine - INFO - Epoch(train) [80][25/63] lr: 6.5835e-03 eta: 19:39:01 time: 0.9455 data_time: 0.1201 memory: 14974 loss_prob: 1.2079 loss_thr: 0.5945 loss_db: 0.1994 loss: 2.0019 08/28 15:13:55 - mmengine - INFO - Epoch(train) [80][30/63] lr: 6.5835e-03 eta: 19:38:32 time: 0.8625 data_time: 0.1233 memory: 14974 loss_prob: 1.2729 loss_thr: 0.6080 loss_db: 0.2081 loss: 2.0890 08/28 15:13:59 - mmengine - INFO - Epoch(train) [80][35/63] lr: 6.5835e-03 eta: 19:38:32 time: 0.8265 data_time: 0.0812 memory: 14974 loss_prob: 1.3736 loss_thr: 0.6333 loss_db: 0.2157 loss: 2.2226 08/28 15:14:05 - mmengine - INFO - Epoch(train) [80][40/63] lr: 6.5835e-03 eta: 19:38:12 time: 0.9330 data_time: 0.1421 memory: 14974 loss_prob: 1.3809 loss_thr: 0.6348 loss_db: 0.2179 loss: 2.2335 08/28 15:14:10 - mmengine - INFO - Epoch(train) [80][45/63] lr: 6.5835e-03 eta: 19:38:12 time: 1.0715 data_time: 0.1196 memory: 14974 loss_prob: 1.2302 loss_thr: 0.6328 loss_db: 0.1968 loss: 2.0598 08/28 15:14:15 - mmengine - INFO - Epoch(train) [80][50/63] lr: 6.5835e-03 eta: 19:38:08 time: 1.0416 data_time: 0.1368 memory: 14974 loss_prob: 1.1873 loss_thr: 0.6276 loss_db: 0.1891 loss: 2.0041 08/28 15:14:19 - mmengine - INFO - Epoch(train) [80][55/63] lr: 6.5835e-03 eta: 19:38:08 time: 0.8742 data_time: 0.1271 memory: 14974 loss_prob: 1.1232 loss_thr: 0.6061 loss_db: 0.1783 loss: 1.9076 08/28 15:14:23 - mmengine - INFO - Epoch(train) [80][60/63] lr: 6.5835e-03 eta: 19:37:31 time: 0.8107 data_time: 0.0652 memory: 14974 loss_prob: 1.1700 loss_thr: 0.6018 loss_db: 0.1846 loss: 1.9563 08/28 15:14:27 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:14:27 - mmengine - INFO - Saving checkpoint at 80 epochs 08/28 15:14:34 - mmengine - INFO - Epoch(val) [80][5/500] eta: 19:37:31 time: 0.0943 data_time: 0.0161 memory: 14974 08/28 15:14:35 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:00:48 time: 0.0989 data_time: 0.0187 memory: 1021 08/28 15:14:35 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:00:48 time: 0.0533 data_time: 0.0052 memory: 1021 08/28 15:14:35 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:22 time: 0.0470 data_time: 0.0023 memory: 1021 08/28 15:14:35 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:22 time: 0.0507 data_time: 0.0024 memory: 1021 08/28 15:14:35 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:24 time: 0.0525 data_time: 0.0024 memory: 1021 08/28 15:14:36 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:24 time: 0.0522 data_time: 0.0024 memory: 1021 08/28 15:14:36 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:24 time: 0.0536 data_time: 0.0025 memory: 1021 08/28 15:14:36 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:24 time: 0.0557 data_time: 0.0029 memory: 1021 08/28 15:14:37 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:22 time: 0.0509 data_time: 0.0027 memory: 1021 08/28 15:14:37 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:22 time: 0.0467 data_time: 0.0023 memory: 1021 08/28 15:14:37 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:19 time: 0.0451 data_time: 0.0022 memory: 1021 08/28 15:14:37 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:19 time: 0.0464 data_time: 0.0021 memory: 1021 08/28 15:14:37 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:20 time: 0.0479 data_time: 0.0021 memory: 1021 08/28 15:14:38 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:20 time: 0.0444 data_time: 0.0022 memory: 1021 08/28 15:14:38 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:18 time: 0.0431 data_time: 0.0022 memory: 1021 08/28 15:14:38 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:18 time: 0.0421 data_time: 0.0020 memory: 1021 08/28 15:14:38 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:18 time: 0.0446 data_time: 0.0020 memory: 1021 08/28 15:14:39 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:18 time: 0.0473 data_time: 0.0020 memory: 1021 08/28 15:14:39 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:17 time: 0.0446 data_time: 0.0020 memory: 1021 08/28 15:14:39 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:17 time: 0.0437 data_time: 0.0021 memory: 1021 08/28 15:14:39 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:17 time: 0.0440 data_time: 0.0021 memory: 1021 08/28 15:14:39 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:17 time: 0.0453 data_time: 0.0021 memory: 1021 08/28 15:14:40 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:17 time: 0.0467 data_time: 0.0024 memory: 1021 08/28 15:14:40 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:17 time: 0.0454 data_time: 0.0024 memory: 1021 08/28 15:14:40 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:16 time: 0.0446 data_time: 0.0023 memory: 1021 08/28 15:14:40 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:16 time: 0.0444 data_time: 0.0023 memory: 1021 08/28 15:14:41 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:16 time: 0.0445 data_time: 0.0023 memory: 1021 08/28 15:14:41 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:16 time: 0.0472 data_time: 0.0023 memory: 1021 08/28 15:14:41 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:16 time: 0.0477 data_time: 0.0023 memory: 1021 08/28 15:14:41 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:16 time: 0.0496 data_time: 0.0024 memory: 1021 08/28 15:14:42 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:17 time: 0.0501 data_time: 0.0023 memory: 1021 08/28 15:14:42 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:17 time: 0.0476 data_time: 0.0023 memory: 1021 08/28 15:14:42 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:16 time: 0.0498 data_time: 0.0025 memory: 1021 08/28 15:14:42 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:16 time: 0.0472 data_time: 0.0024 memory: 1021 08/28 15:14:43 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:14 time: 0.0443 data_time: 0.0022 memory: 1021 08/28 15:14:43 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:14 time: 0.0469 data_time: 0.0022 memory: 1021 08/28 15:14:43 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:14 time: 0.0484 data_time: 0.0023 memory: 1021 08/28 15:14:43 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:14 time: 0.0460 data_time: 0.0026 memory: 1021 08/28 15:14:44 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:15 time: 0.0508 data_time: 0.0025 memory: 1021 08/28 15:14:44 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:15 time: 0.0518 data_time: 0.0030 memory: 1021 08/28 15:14:44 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:13 time: 0.0456 data_time: 0.0033 memory: 1021 08/28 15:14:44 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:13 time: 0.0456 data_time: 0.0027 memory: 1021 08/28 15:14:44 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:12 time: 0.0459 data_time: 0.0023 memory: 1021 08/28 15:14:45 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:12 time: 0.0513 data_time: 0.0063 memory: 1021 08/28 15:14:45 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:13 time: 0.0494 data_time: 0.0063 memory: 1021 08/28 15:14:45 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:13 time: 0.0462 data_time: 0.0023 memory: 1021 08/28 15:14:45 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:12 time: 0.0489 data_time: 0.0024 memory: 1021 08/28 15:14:46 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:12 time: 0.0452 data_time: 0.0023 memory: 1021 08/28 15:14:46 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:11 time: 0.0451 data_time: 0.0023 memory: 1021 08/28 15:14:46 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:11 time: 0.0452 data_time: 0.0024 memory: 1021 08/28 15:14:46 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:10 time: 0.0441 data_time: 0.0022 memory: 1021 08/28 15:14:47 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:10 time: 0.0442 data_time: 0.0023 memory: 1021 08/28 15:14:47 - mmengine - INFO - Epoch(val) [80][270/500] eta: 0:00:10 time: 0.0466 data_time: 0.0025 memory: 1021 08/28 15:14:47 - mmengine - INFO - Epoch(val) [80][275/500] eta: 0:00:10 time: 0.0464 data_time: 0.0026 memory: 1021 08/28 15:14:47 - mmengine - INFO - Epoch(val) [80][280/500] eta: 0:00:10 time: 0.0470 data_time: 0.0023 memory: 1021 08/28 15:14:47 - mmengine - INFO - Epoch(val) [80][285/500] eta: 0:00:10 time: 0.0472 data_time: 0.0022 memory: 1021 08/28 15:14:48 - mmengine - INFO - Epoch(val) [80][290/500] eta: 0:00:09 time: 0.0464 data_time: 0.0024 memory: 1021 08/28 15:14:48 - mmengine - INFO - Epoch(val) [80][295/500] eta: 0:00:09 time: 0.0470 data_time: 0.0024 memory: 1021 08/28 15:14:48 - mmengine - INFO - Epoch(val) [80][300/500] eta: 0:00:09 time: 0.0452 data_time: 0.0023 memory: 1021 08/28 15:14:48 - mmengine - INFO - Epoch(val) [80][305/500] eta: 0:00:09 time: 0.0453 data_time: 0.0023 memory: 1021 08/28 15:14:49 - mmengine - INFO - Epoch(val) [80][310/500] eta: 0:00:08 time: 0.0465 data_time: 0.0025 memory: 1021 08/28 15:14:49 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:08 time: 0.0483 data_time: 0.0024 memory: 1021 08/28 15:14:49 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:08 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 15:14:49 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:08 time: 0.0561 data_time: 0.0023 memory: 1021 08/28 15:14:50 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:09 time: 0.0565 data_time: 0.0022 memory: 1021 08/28 15:14:50 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:09 time: 0.0445 data_time: 0.0023 memory: 1021 08/28 15:14:50 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:08 time: 0.0502 data_time: 0.0025 memory: 1021 08/28 15:14:50 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:08 time: 0.0506 data_time: 0.0025 memory: 1021 08/28 15:14:51 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:07 time: 0.0506 data_time: 0.0025 memory: 1021 08/28 15:14:51 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:07 time: 0.0497 data_time: 0.0024 memory: 1021 08/28 15:14:51 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:06 time: 0.0449 data_time: 0.0023 memory: 1021 08/28 15:14:51 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:06 time: 0.0467 data_time: 0.0024 memory: 1021 08/28 15:14:52 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:05 time: 0.0444 data_time: 0.0024 memory: 1021 08/28 15:14:52 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:05 time: 0.0423 data_time: 0.0023 memory: 1021 08/28 15:14:52 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:05 time: 0.0465 data_time: 0.0023 memory: 1021 08/28 15:14:52 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:05 time: 0.0477 data_time: 0.0022 memory: 1021 08/28 15:14:52 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:05 time: 0.0456 data_time: 0.0022 memory: 1021 08/28 15:14:53 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:05 time: 0.0457 data_time: 0.0022 memory: 1021 08/28 15:14:53 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:04 time: 0.0456 data_time: 0.0023 memory: 1021 08/28 15:14:53 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:04 time: 0.0460 data_time: 0.0023 memory: 1021 08/28 15:14:53 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:04 time: 0.0479 data_time: 0.0024 memory: 1021 08/28 15:14:55 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:04 time: 0.1554 data_time: 0.0117 memory: 1021 08/28 15:14:55 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:12 time: 0.1524 data_time: 0.0128 memory: 1021 08/28 15:14:55 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:12 time: 0.0441 data_time: 0.0034 memory: 1021 08/28 15:14:55 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:03 time: 0.0441 data_time: 0.0024 memory: 1021 08/28 15:14:56 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:03 time: 0.0437 data_time: 0.0023 memory: 1021 08/28 15:14:56 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:02 time: 0.0450 data_time: 0.0025 memory: 1021 08/28 15:14:56 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:02 time: 0.0466 data_time: 0.0027 memory: 1021 08/28 15:14:56 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:02 time: 0.0468 data_time: 0.0024 memory: 1021 08/28 15:14:57 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:02 time: 0.0465 data_time: 0.0024 memory: 1021 08/28 15:14:57 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:01 time: 0.0444 data_time: 0.0023 memory: 1021 08/28 15:14:57 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:01 time: 0.0427 data_time: 0.0024 memory: 1021 08/28 15:14:57 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:01 time: 0.0433 data_time: 0.0024 memory: 1021 08/28 15:14:57 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:01 time: 0.0428 data_time: 0.0023 memory: 1021 08/28 15:14:58 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:00 time: 0.0431 data_time: 0.0023 memory: 1021 08/28 15:14:58 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:00 time: 0.0440 data_time: 0.0023 memory: 1021 08/28 15:14:58 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0464 data_time: 0.0024 memory: 1021 08/28 15:14:58 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0481 data_time: 0.0024 memory: 1021 08/28 15:14:59 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0449 data_time: 0.0023 memory: 1021 08/28 15:14:59 - mmengine - INFO - Evaluating hmean-iou... 08/28 15:14:59 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7906, precision: 0.6870, hmean: 0.7352 08/28 15:14:59 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7906, precision: 0.7525, hmean: 0.7711 08/28 15:14:59 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7857, precision: 0.7930, hmean: 0.7894 08/28 15:14:59 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7646, precision: 0.8367, hmean: 0.7990 08/28 15:14:59 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6875, precision: 0.8837, hmean: 0.7734 08/28 15:14:59 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3380, precision: 0.9435, hmean: 0.4977 08/28 15:14:59 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0029, precision: 0.8571, hmean: 0.0058 08/28 15:14:59 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.8367 icdar/recall: 0.7646 icdar/hmean: 0.7990 08/28 15:15:05 - mmengine - INFO - Epoch(train) [81][5/63] lr: 6.5782e-03 eta: 0:00:00 time: 1.0359 data_time: 0.2115 memory: 14974 loss_prob: 1.1857 loss_thr: 0.5999 loss_db: 0.1905 loss: 1.9761 08/28 15:15:09 - mmengine - INFO - Epoch(train) [81][10/63] lr: 6.5782e-03 eta: 19:36:28 time: 0.9430 data_time: 0.1835 memory: 14974 loss_prob: 1.1994 loss_thr: 0.5603 loss_db: 0.1893 loss: 1.9490 08/28 15:15:13 - mmengine - INFO - Epoch(train) [81][15/63] lr: 6.5782e-03 eta: 19:36:28 time: 0.8696 data_time: 0.1293 memory: 14974 loss_prob: 1.3110 loss_thr: 0.5923 loss_db: 0.2059 loss: 2.1093 08/28 15:15:18 - mmengine - INFO - Epoch(train) [81][20/63] lr: 6.5782e-03 eta: 19:36:08 time: 0.9317 data_time: 0.1307 memory: 14974 loss_prob: 1.4070 loss_thr: 0.6584 loss_db: 0.2237 loss: 2.2890 08/28 15:15:23 - mmengine - INFO - Epoch(train) [81][25/63] lr: 6.5782e-03 eta: 19:36:08 time: 0.9899 data_time: 0.0739 memory: 14974 loss_prob: 1.5207 loss_thr: 0.6625 loss_db: 0.2444 loss: 2.4276 08/28 15:15:29 - mmengine - INFO - Epoch(train) [81][30/63] lr: 6.5782e-03 eta: 19:36:16 time: 1.1282 data_time: 0.1264 memory: 14974 loss_prob: 1.4056 loss_thr: 0.6224 loss_db: 0.2255 loss: 2.2535 08/28 15:15:35 - mmengine - INFO - Epoch(train) [81][35/63] lr: 6.5782e-03 eta: 19:36:16 time: 1.1569 data_time: 0.1377 memory: 14974 loss_prob: 1.2248 loss_thr: 0.6205 loss_db: 0.1975 loss: 2.0428 08/28 15:15:41 - mmengine - INFO - Epoch(train) [81][40/63] lr: 6.5782e-03 eta: 19:36:25 time: 1.1387 data_time: 0.1491 memory: 14974 loss_prob: 1.1745 loss_thr: 0.6084 loss_db: 0.1899 loss: 1.9728 08/28 15:15:45 - mmengine - INFO - Epoch(train) [81][45/63] lr: 6.5782e-03 eta: 19:36:25 time: 1.0547 data_time: 0.1338 memory: 14974 loss_prob: 1.3284 loss_thr: 0.6281 loss_db: 0.2109 loss: 2.1673 08/28 15:15:50 - mmengine - INFO - Epoch(train) [81][50/63] lr: 6.5782e-03 eta: 19:36:11 time: 0.9717 data_time: 0.0967 memory: 14974 loss_prob: 1.5133 loss_thr: 0.6640 loss_db: 0.2381 loss: 2.4153 08/28 15:15:57 - mmengine - INFO - Epoch(train) [81][55/63] lr: 6.5782e-03 eta: 19:36:11 time: 1.1448 data_time: 0.0872 memory: 14974 loss_prob: 1.4266 loss_thr: 0.6572 loss_db: 0.2232 loss: 2.3070 08/28 15:16:02 - mmengine - INFO - Epoch(train) [81][60/63] lr: 6.5782e-03 eta: 19:36:17 time: 1.1153 data_time: 0.1130 memory: 14974 loss_prob: 1.2834 loss_thr: 0.6557 loss_db: 0.2070 loss: 2.1461 08/28 15:16:04 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:16:09 - mmengine - INFO - Epoch(train) [82][5/63] lr: 6.5729e-03 eta: 19:36:17 time: 0.8649 data_time: 0.1892 memory: 14974 loss_prob: 1.3630 loss_thr: 0.6372 loss_db: 0.2272 loss: 2.2274 08/28 15:16:13 - mmengine - INFO - Epoch(train) [82][10/63] lr: 6.5729e-03 eta: 19:35:13 time: 0.9331 data_time: 0.2150 memory: 14974 loss_prob: 1.4571 loss_thr: 0.6589 loss_db: 0.2387 loss: 2.3548 08/28 15:16:17 - mmengine - INFO - Epoch(train) [82][15/63] lr: 6.5729e-03 eta: 19:35:13 time: 0.8235 data_time: 0.0711 memory: 14974 loss_prob: 1.4530 loss_thr: 0.6543 loss_db: 0.2307 loss: 2.3380 08/28 15:16:21 - mmengine - INFO - Epoch(train) [82][20/63] lr: 6.5729e-03 eta: 19:34:36 time: 0.8029 data_time: 0.0451 memory: 14974 loss_prob: 1.3874 loss_thr: 0.6606 loss_db: 0.2222 loss: 2.2701 08/28 15:16:26 - mmengine - INFO - Epoch(train) [82][25/63] lr: 6.5729e-03 eta: 19:34:36 time: 0.8558 data_time: 0.1203 memory: 14974 loss_prob: 1.3961 loss_thr: 0.6605 loss_db: 0.2203 loss: 2.2769 08/28 15:16:30 - mmengine - INFO - Epoch(train) [82][30/63] lr: 6.5729e-03 eta: 19:34:07 time: 0.8658 data_time: 0.1228 memory: 14974 loss_prob: 1.2547 loss_thr: 0.6129 loss_db: 0.1966 loss: 2.0642 08/28 15:16:34 - mmengine - INFO - Epoch(train) [82][35/63] lr: 6.5729e-03 eta: 19:34:07 time: 0.7874 data_time: 0.0622 memory: 14974 loss_prob: 1.2662 loss_thr: 0.6210 loss_db: 0.2035 loss: 2.0907 08/28 15:16:39 - mmengine - INFO - Epoch(train) [82][40/63] lr: 6.5729e-03 eta: 19:33:43 time: 0.8941 data_time: 0.1148 memory: 14974 loss_prob: 1.4337 loss_thr: 0.6698 loss_db: 0.2324 loss: 2.3359 08/28 15:16:44 - mmengine - INFO - Epoch(train) [82][45/63] lr: 6.5729e-03 eta: 19:33:43 time: 1.0219 data_time: 0.1126 memory: 14974 loss_prob: 1.3381 loss_thr: 0.6419 loss_db: 0.2173 loss: 2.1973 08/28 15:16:49 - mmengine - INFO - Epoch(train) [82][50/63] lr: 6.5729e-03 eta: 19:33:41 time: 1.0593 data_time: 0.1347 memory: 14974 loss_prob: 1.3089 loss_thr: 0.6003 loss_db: 0.2143 loss: 2.1236 08/28 15:16:53 - mmengine - INFO - Epoch(train) [82][55/63] lr: 6.5729e-03 eta: 19:33:41 time: 0.9566 data_time: 0.1366 memory: 14974 loss_prob: 1.3163 loss_thr: 0.5942 loss_db: 0.2156 loss: 2.1261 08/28 15:16:58 - mmengine - INFO - Epoch(train) [82][60/63] lr: 6.5729e-03 eta: 19:33:17 time: 0.8956 data_time: 0.0677 memory: 14974 loss_prob: 1.2424 loss_thr: 0.5947 loss_db: 0.1968 loss: 2.0339 08/28 15:17:01 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:17:08 - mmengine - INFO - Epoch(train) [83][5/63] lr: 6.5676e-03 eta: 19:33:17 time: 1.1325 data_time: 0.2148 memory: 14974 loss_prob: 1.2794 loss_thr: 0.6241 loss_db: 0.2049 loss: 2.1084 08/28 15:17:11 - mmengine - INFO - Epoch(train) [83][10/63] lr: 6.5676e-03 eta: 19:32:28 time: 1.0358 data_time: 0.2061 memory: 14974 loss_prob: 1.2863 loss_thr: 0.6243 loss_db: 0.2051 loss: 2.1157 08/28 15:17:16 - mmengine - INFO - Epoch(train) [83][15/63] lr: 6.5676e-03 eta: 19:32:28 time: 0.8281 data_time: 0.0320 memory: 14974 loss_prob: 1.2843 loss_thr: 0.6034 loss_db: 0.2066 loss: 2.0944 08/28 15:17:20 - mmengine - INFO - Epoch(train) [83][20/63] lr: 6.5676e-03 eta: 19:31:58 time: 0.8495 data_time: 0.0445 memory: 14974 loss_prob: 1.4410 loss_thr: 0.6404 loss_db: 0.2392 loss: 2.3206 08/28 15:17:24 - mmengine - INFO - Epoch(train) [83][25/63] lr: 6.5676e-03 eta: 19:31:58 time: 0.8126 data_time: 0.0525 memory: 14974 loss_prob: 1.4559 loss_thr: 0.6624 loss_db: 0.2402 loss: 2.3585 08/28 15:17:28 - mmengine - INFO - Epoch(train) [83][30/63] lr: 6.5676e-03 eta: 19:31:26 time: 0.8357 data_time: 0.0848 memory: 14974 loss_prob: 1.2204 loss_thr: 0.6065 loss_db: 0.1951 loss: 2.0220 08/28 15:17:33 - mmengine - INFO - Epoch(train) [83][35/63] lr: 6.5676e-03 eta: 19:31:26 time: 0.8791 data_time: 0.0938 memory: 14974 loss_prob: 1.3017 loss_thr: 0.6067 loss_db: 0.2095 loss: 2.1179 08/28 15:17:37 - mmengine - INFO - Epoch(train) [83][40/63] lr: 6.5676e-03 eta: 19:31:04 time: 0.9094 data_time: 0.0450 memory: 14974 loss_prob: 1.3991 loss_thr: 0.6310 loss_db: 0.2279 loss: 2.2579 08/28 15:17:42 - mmengine - INFO - Epoch(train) [83][45/63] lr: 6.5676e-03 eta: 19:31:04 time: 0.9598 data_time: 0.0531 memory: 14974 loss_prob: 1.3841 loss_thr: 0.6308 loss_db: 0.2267 loss: 2.2416 08/28 15:17:46 - mmengine - INFO - Epoch(train) [83][50/63] lr: 6.5676e-03 eta: 19:30:40 time: 0.8980 data_time: 0.0614 memory: 14974 loss_prob: 1.3965 loss_thr: 0.6513 loss_db: 0.2294 loss: 2.2772 08/28 15:17:50 - mmengine - INFO - Epoch(train) [83][55/63] lr: 6.5676e-03 eta: 19:30:40 time: 0.7842 data_time: 0.0413 memory: 14974 loss_prob: 1.4525 loss_thr: 0.6758 loss_db: 0.2353 loss: 2.3636 08/28 15:17:54 - mmengine - INFO - Epoch(train) [83][60/63] lr: 6.5676e-03 eta: 19:30:02 time: 0.7861 data_time: 0.0428 memory: 14974 loss_prob: 1.5214 loss_thr: 0.6623 loss_db: 0.2480 loss: 2.4317 08/28 15:17:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:18:02 - mmengine - INFO - Epoch(train) [84][5/63] lr: 6.5623e-03 eta: 19:30:02 time: 0.8890 data_time: 0.1823 memory: 14974 loss_prob: 1.3509 loss_thr: 0.6489 loss_db: 0.2218 loss: 2.2215 08/28 15:18:07 - mmengine - INFO - Epoch(train) [84][10/63] lr: 6.5623e-03 eta: 19:29:19 time: 1.0728 data_time: 0.2265 memory: 14974 loss_prob: 1.3416 loss_thr: 0.6455 loss_db: 0.2158 loss: 2.2029 08/28 15:18:11 - mmengine - INFO - Epoch(train) [84][15/63] lr: 6.5623e-03 eta: 19:29:19 time: 0.9926 data_time: 0.0905 memory: 14974 loss_prob: 1.2919 loss_thr: 0.6256 loss_db: 0.2052 loss: 2.1226 08/28 15:18:17 - mmengine - INFO - Epoch(train) [84][20/63] lr: 6.5623e-03 eta: 19:29:03 time: 0.9507 data_time: 0.0482 memory: 14974 loss_prob: 1.2320 loss_thr: 0.6103 loss_db: 0.1967 loss: 2.0389 08/28 15:18:22 - mmengine - INFO - Epoch(train) [84][25/63] lr: 6.5623e-03 eta: 19:29:03 time: 1.0459 data_time: 0.0595 memory: 14974 loss_prob: 1.2162 loss_thr: 0.6218 loss_db: 0.1959 loss: 2.0339 08/28 15:18:26 - mmengine - INFO - Epoch(train) [84][30/63] lr: 6.5623e-03 eta: 19:28:42 time: 0.9217 data_time: 0.0546 memory: 14974 loss_prob: 1.1785 loss_thr: 0.6371 loss_db: 0.1914 loss: 2.0070 08/28 15:18:30 - mmengine - INFO - Epoch(train) [84][35/63] lr: 6.5623e-03 eta: 19:28:42 time: 0.8145 data_time: 0.0498 memory: 14974 loss_prob: 1.1368 loss_thr: 0.6208 loss_db: 0.1872 loss: 1.9448 08/28 15:18:34 - mmengine - INFO - Epoch(train) [84][40/63] lr: 6.5623e-03 eta: 19:28:05 time: 0.7916 data_time: 0.0435 memory: 14974 loss_prob: 1.1821 loss_thr: 0.6109 loss_db: 0.1945 loss: 1.9875 08/28 15:18:38 - mmengine - INFO - Epoch(train) [84][45/63] lr: 6.5623e-03 eta: 19:28:05 time: 0.8056 data_time: 0.0461 memory: 14974 loss_prob: 1.1728 loss_thr: 0.5953 loss_db: 0.1859 loss: 1.9541 08/28 15:18:42 - mmengine - INFO - Epoch(train) [84][50/63] lr: 6.5623e-03 eta: 19:27:35 time: 0.8485 data_time: 0.0632 memory: 14974 loss_prob: 1.2585 loss_thr: 0.6097 loss_db: 0.1941 loss: 2.0623 08/28 15:18:48 - mmengine - INFO - Epoch(train) [84][55/63] lr: 6.5623e-03 eta: 19:27:35 time: 0.9866 data_time: 0.0984 memory: 14974 loss_prob: 1.3462 loss_thr: 0.6153 loss_db: 0.2105 loss: 2.1720 08/28 15:18:53 - mmengine - INFO - Epoch(train) [84][60/63] lr: 6.5623e-03 eta: 19:27:32 time: 1.0425 data_time: 0.1013 memory: 14974 loss_prob: 1.2725 loss_thr: 0.6057 loss_db: 0.1996 loss: 2.0778 08/28 15:18:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:19:03 - mmengine - INFO - Epoch(train) [85][5/63] lr: 6.5571e-03 eta: 19:27:32 time: 1.1363 data_time: 0.2519 memory: 14974 loss_prob: 1.2155 loss_thr: 0.6042 loss_db: 0.1980 loss: 2.0177 08/28 15:19:07 - mmengine - INFO - Epoch(train) [85][10/63] lr: 6.5571e-03 eta: 19:26:49 time: 1.0699 data_time: 0.2162 memory: 14974 loss_prob: 1.2725 loss_thr: 0.6274 loss_db: 0.2055 loss: 2.1055 08/28 15:19:11 - mmengine - INFO - Epoch(train) [85][15/63] lr: 6.5571e-03 eta: 19:26:49 time: 0.8078 data_time: 0.0604 memory: 14974 loss_prob: 1.1639 loss_thr: 0.5952 loss_db: 0.1912 loss: 1.9503 08/28 15:19:14 - mmengine - INFO - Epoch(train) [85][20/63] lr: 6.5571e-03 eta: 19:26:10 time: 0.7754 data_time: 0.0505 memory: 14974 loss_prob: 1.2374 loss_thr: 0.6114 loss_db: 0.2033 loss: 2.0522 08/28 15:19:19 - mmengine - INFO - Epoch(train) [85][25/63] lr: 6.5571e-03 eta: 19:26:10 time: 0.7874 data_time: 0.0362 memory: 14974 loss_prob: 1.3848 loss_thr: 0.6491 loss_db: 0.2251 loss: 2.2590 08/28 15:19:23 - mmengine - INFO - Epoch(train) [85][30/63] lr: 6.5571e-03 eta: 19:25:43 time: 0.8715 data_time: 0.1062 memory: 14974 loss_prob: 1.2451 loss_thr: 0.6308 loss_db: 0.2032 loss: 2.0791 08/28 15:19:29 - mmengine - INFO - Epoch(train) [85][35/63] lr: 6.5571e-03 eta: 19:25:43 time: 1.0150 data_time: 0.1083 memory: 14974 loss_prob: 1.1210 loss_thr: 0.5995 loss_db: 0.1860 loss: 1.9065 08/28 15:19:34 - mmengine - INFO - Epoch(train) [85][40/63] lr: 6.5571e-03 eta: 19:25:40 time: 1.0488 data_time: 0.1078 memory: 14974 loss_prob: 1.1339 loss_thr: 0.5915 loss_db: 0.1826 loss: 1.9080 08/28 15:19:38 - mmengine - INFO - Epoch(train) [85][45/63] lr: 6.5571e-03 eta: 19:25:40 time: 0.9205 data_time: 0.1079 memory: 14974 loss_prob: 1.2102 loss_thr: 0.6224 loss_db: 0.1982 loss: 2.0309 08/28 15:19:42 - mmengine - INFO - Epoch(train) [85][50/63] lr: 6.5571e-03 eta: 19:25:17 time: 0.8961 data_time: 0.0427 memory: 14974 loss_prob: 1.1688 loss_thr: 0.6045 loss_db: 0.1942 loss: 1.9674 08/28 15:19:47 - mmengine - INFO - Epoch(train) [85][55/63] lr: 6.5571e-03 eta: 19:25:17 time: 0.9520 data_time: 0.0318 memory: 14974 loss_prob: 1.0566 loss_thr: 0.5853 loss_db: 0.1683 loss: 1.8102 08/28 15:19:51 - mmengine - INFO - Epoch(train) [85][60/63] lr: 6.5571e-03 eta: 19:24:50 time: 0.8606 data_time: 0.0396 memory: 14974 loss_prob: 1.1277 loss_thr: 0.6077 loss_db: 0.1798 loss: 1.9151 08/28 15:19:53 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:19:58 - mmengine - INFO - Epoch(train) [86][5/63] lr: 6.5518e-03 eta: 19:24:50 time: 0.8543 data_time: 0.1540 memory: 14974 loss_prob: 1.1224 loss_thr: 0.5993 loss_db: 0.1823 loss: 1.9040 08/28 15:20:03 - mmengine - INFO - Epoch(train) [86][10/63] lr: 6.5518e-03 eta: 19:23:51 time: 0.9426 data_time: 0.2137 memory: 14974 loss_prob: 1.1129 loss_thr: 0.5783 loss_db: 0.1745 loss: 1.8657 08/28 15:20:08 - mmengine - INFO - Epoch(train) [86][15/63] lr: 6.5518e-03 eta: 19:23:51 time: 0.9932 data_time: 0.1001 memory: 14974 loss_prob: 1.4179 loss_thr: 0.6216 loss_db: 0.2220 loss: 2.2614 08/28 15:20:12 - mmengine - INFO - Epoch(train) [86][20/63] lr: 6.5518e-03 eta: 19:23:36 time: 0.9554 data_time: 0.0673 memory: 14974 loss_prob: 1.4162 loss_thr: 0.6123 loss_db: 0.2279 loss: 2.2564 08/28 15:20:17 - mmengine - INFO - Epoch(train) [86][25/63] lr: 6.5518e-03 eta: 19:23:36 time: 0.8464 data_time: 0.0936 memory: 14974 loss_prob: 1.2237 loss_thr: 0.6344 loss_db: 0.1995 loss: 2.0576 08/28 15:20:21 - mmengine - INFO - Epoch(train) [86][30/63] lr: 6.5518e-03 eta: 19:23:15 time: 0.9080 data_time: 0.0681 memory: 14974 loss_prob: 1.1992 loss_thr: 0.6391 loss_db: 0.1988 loss: 2.0370 08/28 15:20:25 - mmengine - INFO - Epoch(train) [86][35/63] lr: 6.5518e-03 eta: 19:23:15 time: 0.8423 data_time: 0.0217 memory: 14974 loss_prob: 1.2112 loss_thr: 0.6143 loss_db: 0.2038 loss: 2.0293 08/28 15:20:29 - mmengine - INFO - Epoch(train) [86][40/63] lr: 6.5518e-03 eta: 19:22:38 time: 0.7850 data_time: 0.0530 memory: 14974 loss_prob: 1.1859 loss_thr: 0.6189 loss_db: 0.1938 loss: 1.9985 08/28 15:20:33 - mmengine - INFO - Epoch(train) [86][45/63] lr: 6.5518e-03 eta: 19:22:38 time: 0.7721 data_time: 0.0562 memory: 14974 loss_prob: 1.2752 loss_thr: 0.6384 loss_db: 0.2035 loss: 2.1172 08/28 15:20:37 - mmengine - INFO - Epoch(train) [86][50/63] lr: 6.5518e-03 eta: 19:21:59 time: 0.7746 data_time: 0.0453 memory: 14974 loss_prob: 1.2986 loss_thr: 0.6380 loss_db: 0.2083 loss: 2.1450 08/28 15:20:41 - mmengine - INFO - Epoch(train) [86][55/63] lr: 6.5518e-03 eta: 19:21:59 time: 0.8327 data_time: 0.0909 memory: 14974 loss_prob: 1.1692 loss_thr: 0.6105 loss_db: 0.1897 loss: 1.9694 08/28 15:20:46 - mmengine - INFO - Epoch(train) [86][60/63] lr: 6.5518e-03 eta: 19:21:43 time: 0.9420 data_time: 0.0908 memory: 14974 loss_prob: 1.2334 loss_thr: 0.5870 loss_db: 0.1984 loss: 2.0188 08/28 15:20:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:20:55 - mmengine - INFO - Epoch(train) [87][5/63] lr: 6.5465e-03 eta: 19:21:43 time: 1.0834 data_time: 0.1782 memory: 14974 loss_prob: 1.0734 loss_thr: 0.5859 loss_db: 0.1697 loss: 1.8289 08/28 15:21:00 - mmengine - INFO - Epoch(train) [87][10/63] lr: 6.5465e-03 eta: 19:21:14 time: 1.1694 data_time: 0.1890 memory: 14974 loss_prob: 1.0347 loss_thr: 0.5984 loss_db: 0.1683 loss: 1.8013 08/28 15:21:04 - mmengine - INFO - Epoch(train) [87][15/63] lr: 6.5465e-03 eta: 19:21:14 time: 0.9641 data_time: 0.0661 memory: 14974 loss_prob: 1.1516 loss_thr: 0.6135 loss_db: 0.1867 loss: 1.9517 08/28 15:21:08 - mmengine - INFO - Epoch(train) [87][20/63] lr: 6.5465e-03 eta: 19:20:38 time: 0.7881 data_time: 0.0492 memory: 14974 loss_prob: 1.2114 loss_thr: 0.5997 loss_db: 0.1922 loss: 2.0034 08/28 15:21:12 - mmengine - INFO - Epoch(train) [87][25/63] lr: 6.5465e-03 eta: 19:20:38 time: 0.7843 data_time: 0.0495 memory: 14974 loss_prob: 1.2107 loss_thr: 0.6110 loss_db: 0.1906 loss: 2.0123 08/28 15:21:16 - mmengine - INFO - Epoch(train) [87][30/63] lr: 6.5465e-03 eta: 19:19:59 time: 0.7677 data_time: 0.0518 memory: 14974 loss_prob: 1.2233 loss_thr: 0.6164 loss_db: 0.1932 loss: 2.0330 08/28 15:21:20 - mmengine - INFO - Epoch(train) [87][35/63] lr: 6.5465e-03 eta: 19:19:59 time: 0.7916 data_time: 0.0517 memory: 14974 loss_prob: 1.2008 loss_thr: 0.6120 loss_db: 0.1935 loss: 2.0063 08/28 15:21:26 - mmengine - INFO - Epoch(train) [87][40/63] lr: 6.5465e-03 eta: 19:19:45 time: 0.9626 data_time: 0.0871 memory: 14974 loss_prob: 1.1114 loss_thr: 0.5884 loss_db: 0.1812 loss: 1.8810 08/28 15:21:30 - mmengine - INFO - Epoch(train) [87][45/63] lr: 6.5465e-03 eta: 19:19:45 time: 0.9526 data_time: 0.0941 memory: 14974 loss_prob: 1.2435 loss_thr: 0.6079 loss_db: 0.2040 loss: 2.0555 08/28 15:21:34 - mmengine - INFO - Epoch(train) [87][50/63] lr: 6.5465e-03 eta: 19:19:12 time: 0.8117 data_time: 0.0563 memory: 14974 loss_prob: 1.3065 loss_thr: 0.6402 loss_db: 0.2102 loss: 2.1569 08/28 15:21:40 - mmengine - INFO - Epoch(train) [87][55/63] lr: 6.5465e-03 eta: 19:19:12 time: 1.0211 data_time: 0.0693 memory: 14974 loss_prob: 1.2668 loss_thr: 0.6098 loss_db: 0.1944 loss: 2.0710 08/28 15:21:44 - mmengine - INFO - Epoch(train) [87][60/63] lr: 6.5465e-03 eta: 19:19:05 time: 1.0106 data_time: 0.0706 memory: 14974 loss_prob: 1.3039 loss_thr: 0.5953 loss_db: 0.2014 loss: 2.1006 08/28 15:21:46 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:21:51 - mmengine - INFO - Epoch(train) [88][5/63] lr: 6.5412e-03 eta: 19:19:05 time: 0.9194 data_time: 0.2140 memory: 14974 loss_prob: 1.1823 loss_thr: 0.5868 loss_db: 0.1956 loss: 1.9647 08/28 15:21:55 - mmengine - INFO - Epoch(train) [88][10/63] lr: 6.5412e-03 eta: 19:18:04 time: 0.9135 data_time: 0.1973 memory: 14974 loss_prob: 1.1305 loss_thr: 0.5893 loss_db: 0.1818 loss: 1.9016 08/28 15:22:00 - mmengine - INFO - Epoch(train) [88][15/63] lr: 6.5412e-03 eta: 19:18:04 time: 0.8761 data_time: 0.1097 memory: 14974 loss_prob: 1.2480 loss_thr: 0.6199 loss_db: 0.2041 loss: 2.0720 08/28 15:22:05 - mmengine - INFO - Epoch(train) [88][20/63] lr: 6.5412e-03 eta: 19:17:50 time: 0.9580 data_time: 0.0990 memory: 14974 loss_prob: 1.2378 loss_thr: 0.6196 loss_db: 0.2050 loss: 2.0625 08/28 15:22:09 - mmengine - INFO - Epoch(train) [88][25/63] lr: 6.5412e-03 eta: 19:17:50 time: 0.8979 data_time: 0.0589 memory: 14974 loss_prob: 1.3402 loss_thr: 0.6436 loss_db: 0.2163 loss: 2.2001 08/28 15:22:14 - mmengine - INFO - Epoch(train) [88][30/63] lr: 6.5412e-03 eta: 19:17:33 time: 0.9392 data_time: 0.0885 memory: 14974 loss_prob: 1.3061 loss_thr: 0.6373 loss_db: 0.2118 loss: 2.1552 08/28 15:22:20 - mmengine - INFO - Epoch(train) [88][35/63] lr: 6.5412e-03 eta: 19:17:33 time: 1.0869 data_time: 0.0941 memory: 14974 loss_prob: 1.1752 loss_thr: 0.6185 loss_db: 0.1902 loss: 1.9839 08/28 15:22:24 - mmengine - INFO - Epoch(train) [88][40/63] lr: 6.5412e-03 eta: 19:17:21 time: 0.9708 data_time: 0.0781 memory: 14974 loss_prob: 1.1438 loss_thr: 0.6244 loss_db: 0.1852 loss: 1.9533 08/28 15:22:28 - mmengine - INFO - Epoch(train) [88][45/63] lr: 6.5412e-03 eta: 19:17:21 time: 0.8026 data_time: 0.0662 memory: 14974 loss_prob: 1.1376 loss_thr: 0.6433 loss_db: 0.1909 loss: 1.9718 08/28 15:22:32 - mmengine - INFO - Epoch(train) [88][50/63] lr: 6.5412e-03 eta: 19:16:44 time: 0.7840 data_time: 0.0396 memory: 14974 loss_prob: 1.1811 loss_thr: 0.6293 loss_db: 0.1941 loss: 2.0044 08/28 15:22:36 - mmengine - INFO - Epoch(train) [88][55/63] lr: 6.5412e-03 eta: 19:16:44 time: 0.8313 data_time: 0.0876 memory: 14974 loss_prob: 1.1087 loss_thr: 0.5960 loss_db: 0.1783 loss: 1.8830 08/28 15:22:40 - mmengine - INFO - Epoch(train) [88][60/63] lr: 6.5412e-03 eta: 19:16:16 time: 0.8421 data_time: 0.1061 memory: 14974 loss_prob: 1.1115 loss_thr: 0.6014 loss_db: 0.1817 loss: 1.8946 08/28 15:22:43 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:22:49 - mmengine - INFO - Epoch(train) [89][5/63] lr: 6.5359e-03 eta: 19:16:16 time: 1.0426 data_time: 0.2009 memory: 14974 loss_prob: 1.2482 loss_thr: 0.6297 loss_db: 0.2050 loss: 2.0829 08/28 15:22:54 - mmengine - INFO - Epoch(train) [89][10/63] lr: 6.5359e-03 eta: 19:15:34 time: 1.0609 data_time: 0.2438 memory: 14974 loss_prob: 1.1966 loss_thr: 0.6191 loss_db: 0.1973 loss: 2.0129 08/28 15:23:00 - mmengine - INFO - Epoch(train) [89][15/63] lr: 6.5359e-03 eta: 19:15:34 time: 1.0255 data_time: 0.0828 memory: 14974 loss_prob: 1.1825 loss_thr: 0.6266 loss_db: 0.1939 loss: 2.0029 08/28 15:23:04 - mmengine - INFO - Epoch(train) [89][20/63] lr: 6.5359e-03 eta: 19:15:23 time: 0.9818 data_time: 0.0453 memory: 14974 loss_prob: 1.1844 loss_thr: 0.6304 loss_db: 0.1911 loss: 2.0059 08/28 15:23:08 - mmengine - INFO - Epoch(train) [89][25/63] lr: 6.5359e-03 eta: 19:15:23 time: 0.8163 data_time: 0.0614 memory: 14974 loss_prob: 1.1811 loss_thr: 0.5924 loss_db: 0.1891 loss: 1.9626 08/28 15:23:11 - mmengine - INFO - Epoch(train) [89][30/63] lr: 6.5359e-03 eta: 19:14:46 time: 0.7689 data_time: 0.0358 memory: 14974 loss_prob: 1.2112 loss_thr: 0.6210 loss_db: 0.1967 loss: 2.0289 08/28 15:23:16 - mmengine - INFO - Epoch(train) [89][35/63] lr: 6.5359e-03 eta: 19:14:46 time: 0.7909 data_time: 0.0582 memory: 14974 loss_prob: 1.2706 loss_thr: 0.6613 loss_db: 0.2084 loss: 2.1404 08/28 15:23:20 - mmengine - INFO - Epoch(train) [89][40/63] lr: 6.5359e-03 eta: 19:14:16 time: 0.8281 data_time: 0.0992 memory: 14974 loss_prob: 1.2665 loss_thr: 0.6398 loss_db: 0.2001 loss: 2.1064 08/28 15:23:25 - mmengine - INFO - Epoch(train) [89][45/63] lr: 6.5359e-03 eta: 19:14:16 time: 0.9026 data_time: 0.0716 memory: 14974 loss_prob: 1.3466 loss_thr: 0.6354 loss_db: 0.2141 loss: 2.1961 08/28 15:23:29 - mmengine - INFO - Epoch(train) [89][50/63] lr: 6.5359e-03 eta: 19:14:04 time: 0.9731 data_time: 0.0943 memory: 14974 loss_prob: 1.4072 loss_thr: 0.6411 loss_db: 0.2322 loss: 2.2805 08/28 15:23:34 - mmengine - INFO - Epoch(train) [89][55/63] lr: 6.5359e-03 eta: 19:14:04 time: 0.9150 data_time: 0.1123 memory: 14974 loss_prob: 1.3115 loss_thr: 0.6318 loss_db: 0.2133 loss: 2.1565 08/28 15:23:39 - mmengine - INFO - Epoch(train) [89][60/63] lr: 6.5359e-03 eta: 19:13:46 time: 0.9229 data_time: 0.0774 memory: 14974 loss_prob: 1.2244 loss_thr: 0.5903 loss_db: 0.1939 loss: 2.0086 08/28 15:23:41 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:23:47 - mmengine - INFO - Epoch(train) [90][5/63] lr: 6.5306e-03 eta: 19:13:46 time: 0.9951 data_time: 0.1876 memory: 14974 loss_prob: 1.2305 loss_thr: 0.6022 loss_db: 0.2040 loss: 2.0367 08/28 15:23:50 - mmengine - INFO - Epoch(train) [90][10/63] lr: 6.5306e-03 eta: 19:12:48 time: 0.9275 data_time: 0.1996 memory: 14974 loss_prob: 1.1407 loss_thr: 0.5824 loss_db: 0.1853 loss: 1.9084 08/28 15:23:54 - mmengine - INFO - Epoch(train) [90][15/63] lr: 6.5306e-03 eta: 19:12:48 time: 0.7841 data_time: 0.0665 memory: 14974 loss_prob: 1.2777 loss_thr: 0.6206 loss_db: 0.2013 loss: 2.0996 08/28 15:23:59 - mmengine - INFO - Epoch(train) [90][20/63] lr: 6.5306e-03 eta: 19:12:22 time: 0.8594 data_time: 0.0604 memory: 14974 loss_prob: 1.4636 loss_thr: 0.6598 loss_db: 0.2311 loss: 2.3545 08/28 15:24:04 - mmengine - INFO - Epoch(train) [90][25/63] lr: 6.5306e-03 eta: 19:12:22 time: 0.9428 data_time: 0.0631 memory: 14974 loss_prob: 1.4541 loss_thr: 0.6549 loss_db: 0.2292 loss: 2.3382 08/28 15:24:09 - mmengine - INFO - Epoch(train) [90][30/63] lr: 6.5306e-03 eta: 19:12:15 time: 1.0120 data_time: 0.0936 memory: 14974 loss_prob: 1.3360 loss_thr: 0.6338 loss_db: 0.2123 loss: 2.1821 08/28 15:24:13 - mmengine - INFO - Epoch(train) [90][35/63] lr: 6.5306e-03 eta: 19:12:15 time: 0.9508 data_time: 0.1078 memory: 14974 loss_prob: 1.2188 loss_thr: 0.6051 loss_db: 0.1985 loss: 2.0223 08/28 15:24:18 - mmengine - INFO - Epoch(train) [90][40/63] lr: 6.5306e-03 eta: 19:11:56 time: 0.9130 data_time: 0.0681 memory: 14974 loss_prob: 1.2398 loss_thr: 0.6000 loss_db: 0.2033 loss: 2.0432 08/28 15:24:23 - mmengine - INFO - Epoch(train) [90][45/63] lr: 6.5306e-03 eta: 19:11:56 time: 0.9397 data_time: 0.0404 memory: 14974 loss_prob: 1.3427 loss_thr: 0.6108 loss_db: 0.2172 loss: 2.1707 08/28 15:24:27 - mmengine - INFO - Epoch(train) [90][50/63] lr: 6.5306e-03 eta: 19:11:29 time: 0.8462 data_time: 0.0584 memory: 14974 loss_prob: 1.4245 loss_thr: 0.6393 loss_db: 0.2327 loss: 2.2964 08/28 15:24:30 - mmengine - INFO - Epoch(train) [90][55/63] lr: 6.5306e-03 eta: 19:11:29 time: 0.7722 data_time: 0.0479 memory: 14974 loss_prob: 1.3335 loss_thr: 0.6270 loss_db: 0.2195 loss: 2.1801 08/28 15:24:34 - mmengine - INFO - Epoch(train) [90][60/63] lr: 6.5306e-03 eta: 19:10:52 time: 0.7708 data_time: 0.0564 memory: 14974 loss_prob: 1.2392 loss_thr: 0.6122 loss_db: 0.2001 loss: 2.0515 08/28 15:24:38 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:24:44 - mmengine - INFO - Epoch(train) [91][5/63] lr: 6.5253e-03 eta: 19:10:52 time: 1.0621 data_time: 0.2098 memory: 14974 loss_prob: 1.3143 loss_thr: 0.6487 loss_db: 0.2218 loss: 2.1847 08/28 15:24:48 - mmengine - INFO - Epoch(train) [91][10/63] lr: 6.5253e-03 eta: 19:10:06 time: 1.0170 data_time: 0.2042 memory: 14974 loss_prob: 1.2024 loss_thr: 0.6065 loss_db: 0.2010 loss: 2.0099 08/28 15:24:53 - mmengine - INFO - Epoch(train) [91][15/63] lr: 6.5253e-03 eta: 19:10:06 time: 0.9049 data_time: 0.0914 memory: 14974 loss_prob: 1.1593 loss_thr: 0.5852 loss_db: 0.1857 loss: 1.9302 08/28 15:24:57 - mmengine - INFO - Epoch(train) [91][20/63] lr: 6.5253e-03 eta: 19:09:50 time: 0.9373 data_time: 0.0655 memory: 14974 loss_prob: 1.2309 loss_thr: 0.6011 loss_db: 0.2007 loss: 2.0327 08/28 15:25:01 - mmengine - INFO - Epoch(train) [91][25/63] lr: 6.5253e-03 eta: 19:09:50 time: 0.8521 data_time: 0.0382 memory: 14974 loss_prob: 1.2793 loss_thr: 0.6295 loss_db: 0.2128 loss: 2.1216 08/28 15:25:05 - mmengine - INFO - Epoch(train) [91][30/63] lr: 6.5253e-03 eta: 19:09:15 time: 0.7829 data_time: 0.0517 memory: 14974 loss_prob: 1.2557 loss_thr: 0.6414 loss_db: 0.2049 loss: 2.1020 08/28 15:25:09 - mmengine - INFO - Epoch(train) [91][35/63] lr: 6.5253e-03 eta: 19:09:15 time: 0.7943 data_time: 0.0656 memory: 14974 loss_prob: 1.3386 loss_thr: 0.6463 loss_db: 0.2125 loss: 2.1974 08/28 15:25:13 - mmengine - INFO - Epoch(train) [91][40/63] lr: 6.5253e-03 eta: 19:08:44 time: 0.8086 data_time: 0.0756 memory: 14974 loss_prob: 1.3130 loss_thr: 0.6281 loss_db: 0.2113 loss: 2.1524 08/28 15:25:17 - mmengine - INFO - Epoch(train) [91][45/63] lr: 6.5253e-03 eta: 19:08:44 time: 0.8274 data_time: 0.0876 memory: 14974 loss_prob: 1.2820 loss_thr: 0.6156 loss_db: 0.2040 loss: 2.1017 08/28 15:25:22 - mmengine - INFO - Epoch(train) [91][50/63] lr: 6.5253e-03 eta: 19:08:16 time: 0.8374 data_time: 0.0630 memory: 14974 loss_prob: 1.4675 loss_thr: 0.6512 loss_db: 0.2359 loss: 2.3547 08/28 15:25:27 - mmengine - INFO - Epoch(train) [91][55/63] lr: 6.5253e-03 eta: 19:08:16 time: 0.9177 data_time: 0.0565 memory: 14974 loss_prob: 1.4580 loss_thr: 0.6671 loss_db: 0.2404 loss: 2.3655 08/28 15:25:31 - mmengine - INFO - Epoch(train) [91][60/63] lr: 6.5253e-03 eta: 19:07:54 time: 0.8920 data_time: 0.0796 memory: 14974 loss_prob: 1.4341 loss_thr: 0.6571 loss_db: 0.2296 loss: 2.3208 08/28 15:25:33 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:25:39 - mmengine - INFO - Epoch(train) [92][5/63] lr: 6.5200e-03 eta: 19:07:54 time: 0.9578 data_time: 0.1610 memory: 14974 loss_prob: 1.2724 loss_thr: 0.6231 loss_db: 0.2013 loss: 2.0968 08/28 15:25:43 - mmengine - INFO - Epoch(train) [92][10/63] lr: 6.5200e-03 eta: 19:07:08 time: 1.0019 data_time: 0.1743 memory: 14974 loss_prob: 1.0871 loss_thr: 0.6031 loss_db: 0.1734 loss: 1.8637 08/28 15:25:47 - mmengine - INFO - Epoch(train) [92][15/63] lr: 6.5200e-03 eta: 19:07:08 time: 0.8078 data_time: 0.0478 memory: 14974 loss_prob: 1.0980 loss_thr: 0.5935 loss_db: 0.1776 loss: 1.8692 08/28 15:25:51 - mmengine - INFO - Epoch(train) [92][20/63] lr: 6.5200e-03 eta: 19:06:35 time: 0.7945 data_time: 0.0369 memory: 14974 loss_prob: 1.1530 loss_thr: 0.6045 loss_db: 0.1866 loss: 1.9441 08/28 15:25:55 - mmengine - INFO - Epoch(train) [92][25/63] lr: 6.5200e-03 eta: 19:06:35 time: 0.8420 data_time: 0.0944 memory: 14974 loss_prob: 1.1040 loss_thr: 0.5946 loss_db: 0.1790 loss: 1.8777 08/28 15:26:00 - mmengine - INFO - Epoch(train) [92][30/63] lr: 6.5200e-03 eta: 19:06:17 time: 0.9240 data_time: 0.1166 memory: 14974 loss_prob: 1.0595 loss_thr: 0.5744 loss_db: 0.1704 loss: 1.8043 08/28 15:26:05 - mmengine - INFO - Epoch(train) [92][35/63] lr: 6.5200e-03 eta: 19:06:17 time: 0.9477 data_time: 0.0559 memory: 14974 loss_prob: 1.1022 loss_thr: 0.6057 loss_db: 0.1814 loss: 1.8893 08/28 15:26:09 - mmengine - INFO - Epoch(train) [92][40/63] lr: 6.5200e-03 eta: 19:06:05 time: 0.9596 data_time: 0.0769 memory: 14974 loss_prob: 1.2046 loss_thr: 0.6299 loss_db: 0.1958 loss: 2.0303 08/28 15:26:13 - mmengine - INFO - Epoch(train) [92][45/63] lr: 6.5200e-03 eta: 19:06:05 time: 0.8817 data_time: 0.0741 memory: 14974 loss_prob: 1.2414 loss_thr: 0.6209 loss_db: 0.1945 loss: 2.0568 08/28 15:26:18 - mmengine - INFO - Epoch(train) [92][50/63] lr: 6.5200e-03 eta: 19:05:42 time: 0.8773 data_time: 0.0368 memory: 14974 loss_prob: 1.1895 loss_thr: 0.6099 loss_db: 0.1890 loss: 1.9883 08/28 15:26:22 - mmengine - INFO - Epoch(train) [92][55/63] lr: 6.5200e-03 eta: 19:05:42 time: 0.9046 data_time: 0.0371 memory: 14974 loss_prob: 1.1307 loss_thr: 0.5902 loss_db: 0.1823 loss: 1.9032 08/28 15:26:26 - mmengine - INFO - Epoch(train) [92][60/63] lr: 6.5200e-03 eta: 19:05:12 time: 0.8206 data_time: 0.0429 memory: 14974 loss_prob: 1.0865 loss_thr: 0.5720 loss_db: 0.1745 loss: 1.8329 08/28 15:26:28 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:26:33 - mmengine - INFO - Epoch(train) [93][5/63] lr: 6.5147e-03 eta: 19:05:12 time: 0.8650 data_time: 0.1671 memory: 14974 loss_prob: 1.2467 loss_thr: 0.5850 loss_db: 0.2068 loss: 2.0386 08/28 15:26:38 - mmengine - INFO - Epoch(train) [93][10/63] lr: 6.5147e-03 eta: 19:04:24 time: 0.9833 data_time: 0.2342 memory: 14974 loss_prob: 1.3820 loss_thr: 0.6138 loss_db: 0.2211 loss: 2.2170 08/28 15:26:42 - mmengine - INFO - Epoch(train) [93][15/63] lr: 6.5147e-03 eta: 19:04:24 time: 0.8999 data_time: 0.1150 memory: 14974 loss_prob: 1.5925 loss_thr: 0.6453 loss_db: 0.2552 loss: 2.4930 08/28 15:26:48 - mmengine - INFO - Epoch(train) [93][20/63] lr: 6.5147e-03 eta: 19:04:13 time: 0.9769 data_time: 0.0593 memory: 14974 loss_prob: 1.4760 loss_thr: 0.6242 loss_db: 0.2320 loss: 2.3323 08/28 15:26:53 - mmengine - INFO - Epoch(train) [93][25/63] lr: 6.5147e-03 eta: 19:04:13 time: 1.0177 data_time: 0.1015 memory: 14974 loss_prob: 1.2339 loss_thr: 0.6118 loss_db: 0.1986 loss: 2.0443 08/28 15:26:58 - mmengine - INFO - Epoch(train) [93][30/63] lr: 6.5147e-03 eta: 19:04:03 time: 0.9832 data_time: 0.0913 memory: 14974 loss_prob: 1.1857 loss_thr: 0.6092 loss_db: 0.1998 loss: 1.9948 08/28 15:27:02 - mmengine - INFO - Epoch(train) [93][35/63] lr: 6.5147e-03 eta: 19:04:03 time: 0.9738 data_time: 0.0367 memory: 14974 loss_prob: 1.3281 loss_thr: 0.6291 loss_db: 0.2132 loss: 2.1703 08/28 15:27:06 - mmengine - INFO - Epoch(train) [93][40/63] lr: 6.5147e-03 eta: 19:03:39 time: 0.8651 data_time: 0.0268 memory: 14974 loss_prob: 1.3235 loss_thr: 0.6342 loss_db: 0.2110 loss: 2.1688 08/28 15:27:10 - mmengine - INFO - Epoch(train) [93][45/63] lr: 6.5147e-03 eta: 19:03:39 time: 0.8011 data_time: 0.0356 memory: 14974 loss_prob: 1.3186 loss_thr: 0.6544 loss_db: 0.2166 loss: 2.1896 08/28 15:27:14 - mmengine - INFO - Epoch(train) [93][50/63] lr: 6.5147e-03 eta: 19:03:04 time: 0.7718 data_time: 0.0298 memory: 14974 loss_prob: 1.3481 loss_thr: 0.6635 loss_db: 0.2190 loss: 2.2306 08/28 15:27:19 - mmengine - INFO - Epoch(train) [93][55/63] lr: 6.5147e-03 eta: 19:03:04 time: 0.8195 data_time: 0.0902 memory: 14974 loss_prob: 1.2414 loss_thr: 0.6119 loss_db: 0.2065 loss: 2.0599 08/28 15:27:23 - mmengine - INFO - Epoch(train) [93][60/63] lr: 6.5147e-03 eta: 19:02:41 time: 0.8732 data_time: 0.1220 memory: 14974 loss_prob: 1.3179 loss_thr: 0.6242 loss_db: 0.2141 loss: 2.1563 08/28 15:27:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:27:31 - mmengine - INFO - Epoch(train) [94][5/63] lr: 6.5094e-03 eta: 19:02:41 time: 0.9889 data_time: 0.1912 memory: 14974 loss_prob: 1.2816 loss_thr: 0.6335 loss_db: 0.2096 loss: 2.1247 08/28 15:27:36 - mmengine - INFO - Epoch(train) [94][10/63] lr: 6.5094e-03 eta: 19:02:06 time: 1.0926 data_time: 0.2438 memory: 14974 loss_prob: 1.1600 loss_thr: 0.6153 loss_db: 0.1897 loss: 1.9650 08/28 15:27:41 - mmengine - INFO - Epoch(train) [94][15/63] lr: 6.5094e-03 eta: 19:02:06 time: 0.9363 data_time: 0.0856 memory: 14974 loss_prob: 1.2704 loss_thr: 0.5926 loss_db: 0.2144 loss: 2.0775 08/28 15:27:45 - mmengine - INFO - Epoch(train) [94][20/63] lr: 6.5094e-03 eta: 19:01:52 time: 0.9439 data_time: 0.0711 memory: 14974 loss_prob: 1.4698 loss_thr: 0.6202 loss_db: 0.2454 loss: 2.3354 08/28 15:27:50 - mmengine - INFO - Epoch(train) [94][25/63] lr: 6.5094e-03 eta: 19:01:52 time: 0.9121 data_time: 0.0944 memory: 14974 loss_prob: 1.4911 loss_thr: 0.6456 loss_db: 0.2398 loss: 2.3765 08/28 15:27:53 - mmengine - INFO - Epoch(train) [94][30/63] lr: 6.5094e-03 eta: 19:01:23 time: 0.8267 data_time: 0.0469 memory: 14974 loss_prob: 1.4074 loss_thr: 0.6532 loss_db: 0.2297 loss: 2.2903 08/28 15:27:57 - mmengine - INFO - Epoch(train) [94][35/63] lr: 6.5094e-03 eta: 19:01:23 time: 0.7515 data_time: 0.0313 memory: 14974 loss_prob: 1.3660 loss_thr: 0.6555 loss_db: 0.2270 loss: 2.2486 08/28 15:28:01 - mmengine - INFO - Epoch(train) [94][40/63] lr: 6.5094e-03 eta: 19:00:52 time: 0.8030 data_time: 0.0750 memory: 14974 loss_prob: 1.2813 loss_thr: 0.6383 loss_db: 0.2122 loss: 2.1319 08/28 15:28:05 - mmengine - INFO - Epoch(train) [94][45/63] lr: 6.5094e-03 eta: 19:00:52 time: 0.8089 data_time: 0.0873 memory: 14974 loss_prob: 1.1985 loss_thr: 0.6393 loss_db: 0.1941 loss: 2.0319 08/28 15:28:09 - mmengine - INFO - Epoch(train) [94][50/63] lr: 6.5094e-03 eta: 19:00:21 time: 0.7997 data_time: 0.0472 memory: 14974 loss_prob: 1.3437 loss_thr: 0.6618 loss_db: 0.2162 loss: 2.2217 08/28 15:28:15 - mmengine - INFO - Epoch(train) [94][55/63] lr: 6.5094e-03 eta: 19:00:21 time: 0.9969 data_time: 0.0975 memory: 14974 loss_prob: 1.3674 loss_thr: 0.6495 loss_db: 0.2226 loss: 2.2395 08/28 15:28:19 - mmengine - INFO - Epoch(train) [94][60/63] lr: 6.5094e-03 eta: 19:00:13 time: 0.9970 data_time: 0.1106 memory: 14974 loss_prob: 1.2371 loss_thr: 0.6099 loss_db: 0.2034 loss: 2.0504 08/28 15:28:22 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:28:29 - mmengine - INFO - Epoch(train) [95][5/63] lr: 6.5041e-03 eta: 19:00:13 time: 1.0580 data_time: 0.2274 memory: 14974 loss_prob: 1.4606 loss_thr: 0.6230 loss_db: 0.2324 loss: 2.3160 08/28 15:28:32 - mmengine - INFO - Epoch(train) [95][10/63] lr: 6.5041e-03 eta: 18:59:32 time: 1.0379 data_time: 0.1774 memory: 14974 loss_prob: 1.4944 loss_thr: 0.6340 loss_db: 0.2435 loss: 2.3719 08/28 15:28:37 - mmengine - INFO - Epoch(train) [95][15/63] lr: 6.5041e-03 eta: 18:59:32 time: 0.8454 data_time: 0.0760 memory: 14974 loss_prob: 1.3808 loss_thr: 0.6355 loss_db: 0.2294 loss: 2.2457 08/28 15:28:41 - mmengine - INFO - Epoch(train) [95][20/63] lr: 6.5041e-03 eta: 18:59:05 time: 0.8298 data_time: 0.0764 memory: 14974 loss_prob: 1.2481 loss_thr: 0.6028 loss_db: 0.2086 loss: 2.0595 08/28 15:28:45 - mmengine - INFO - Epoch(train) [95][25/63] lr: 6.5041e-03 eta: 18:59:05 time: 0.7581 data_time: 0.0495 memory: 14974 loss_prob: 1.3176 loss_thr: 0.6236 loss_db: 0.2181 loss: 2.1592 08/28 15:28:49 - mmengine - INFO - Epoch(train) [95][30/63] lr: 6.5041e-03 eta: 18:58:37 time: 0.8279 data_time: 0.0842 memory: 14974 loss_prob: 1.2468 loss_thr: 0.6240 loss_db: 0.2036 loss: 2.0744 08/28 15:28:54 - mmengine - INFO - Epoch(train) [95][35/63] lr: 6.5041e-03 eta: 18:58:37 time: 0.9155 data_time: 0.0831 memory: 14974 loss_prob: 1.3538 loss_thr: 0.6407 loss_db: 0.2166 loss: 2.2111 08/28 15:28:59 - mmengine - INFO - Epoch(train) [95][40/63] lr: 6.5041e-03 eta: 18:58:27 time: 0.9756 data_time: 0.0632 memory: 14974 loss_prob: 1.3841 loss_thr: 0.6516 loss_db: 0.2253 loss: 2.2610 08/28 15:29:04 - mmengine - INFO - Epoch(train) [95][45/63] lr: 6.5041e-03 eta: 18:58:27 time: 0.9928 data_time: 0.1024 memory: 14974 loss_prob: 1.1564 loss_thr: 0.6036 loss_db: 0.1928 loss: 1.9528 08/28 15:29:10 - mmengine - INFO - Epoch(train) [95][50/63] lr: 6.5041e-03 eta: 18:58:31 time: 1.1010 data_time: 0.0990 memory: 14974 loss_prob: 1.2133 loss_thr: 0.5999 loss_db: 0.1952 loss: 2.0084 08/28 15:29:14 - mmengine - INFO - Epoch(train) [95][55/63] lr: 6.5041e-03 eta: 18:58:31 time: 1.0050 data_time: 0.0419 memory: 14974 loss_prob: 1.2858 loss_thr: 0.5989 loss_db: 0.2013 loss: 2.0859 08/28 15:29:18 - mmengine - INFO - Epoch(train) [95][60/63] lr: 6.5041e-03 eta: 18:57:58 time: 0.7799 data_time: 0.0336 memory: 14974 loss_prob: 1.1694 loss_thr: 0.5786 loss_db: 0.1839 loss: 1.9320 08/28 15:29:19 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:29:25 - mmengine - INFO - Epoch(train) [96][5/63] lr: 6.4988e-03 eta: 18:57:58 time: 0.8826 data_time: 0.1757 memory: 14974 loss_prob: 1.2023 loss_thr: 0.5906 loss_db: 0.1947 loss: 1.9876 08/28 15:29:29 - mmengine - INFO - Epoch(train) [96][10/63] lr: 6.4988e-03 eta: 18:57:10 time: 0.9774 data_time: 0.2329 memory: 14974 loss_prob: 1.2809 loss_thr: 0.6336 loss_db: 0.2092 loss: 2.1238 08/28 15:29:35 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:29:35 - mmengine - INFO - Epoch(train) [96][15/63] lr: 6.4988e-03 eta: 18:57:10 time: 1.0166 data_time: 0.0829 memory: 14974 loss_prob: 1.1557 loss_thr: 0.6270 loss_db: 0.1867 loss: 1.9694 08/28 15:29:40 - mmengine - INFO - Epoch(train) [96][20/63] lr: 6.4988e-03 eta: 18:57:09 time: 1.0522 data_time: 0.0983 memory: 14974 loss_prob: 1.2317 loss_thr: 0.6329 loss_db: 0.1914 loss: 2.0560 08/28 15:29:44 - mmengine - INFO - Epoch(train) [96][25/63] lr: 6.4988e-03 eta: 18:57:09 time: 0.9391 data_time: 0.1114 memory: 14974 loss_prob: 1.2544 loss_thr: 0.6008 loss_db: 0.2000 loss: 2.0552 08/28 15:29:49 - mmengine - INFO - Epoch(train) [96][30/63] lr: 6.4988e-03 eta: 18:56:52 time: 0.9238 data_time: 0.0448 memory: 14974 loss_prob: 1.0732 loss_thr: 0.5818 loss_db: 0.1783 loss: 1.8333 08/28 15:29:53 - mmengine - INFO - Epoch(train) [96][35/63] lr: 6.4988e-03 eta: 18:56:52 time: 0.8484 data_time: 0.0552 memory: 14974 loss_prob: 1.1154 loss_thr: 0.6015 loss_db: 0.1860 loss: 1.9030 08/28 15:29:57 - mmengine - INFO - Epoch(train) [96][40/63] lr: 6.4988e-03 eta: 18:56:22 time: 0.8049 data_time: 0.0651 memory: 14974 loss_prob: 1.1381 loss_thr: 0.6058 loss_db: 0.1910 loss: 1.9349 08/28 15:30:01 - mmengine - INFO - Epoch(train) [96][45/63] lr: 6.4988e-03 eta: 18:56:22 time: 0.7952 data_time: 0.0505 memory: 14974 loss_prob: 1.0707 loss_thr: 0.6085 loss_db: 0.1762 loss: 1.8553 08/28 15:30:05 - mmengine - INFO - Epoch(train) [96][50/63] lr: 6.4988e-03 eta: 18:55:51 time: 0.7947 data_time: 0.0753 memory: 14974 loss_prob: 1.2563 loss_thr: 0.6114 loss_db: 0.2002 loss: 2.0679 08/28 15:30:09 - mmengine - INFO - Epoch(train) [96][55/63] lr: 6.4988e-03 eta: 18:55:51 time: 0.8304 data_time: 0.0605 memory: 14974 loss_prob: 1.2552 loss_thr: 0.6153 loss_db: 0.1986 loss: 2.0691 08/28 15:30:13 - mmengine - INFO - Epoch(train) [96][60/63] lr: 6.4988e-03 eta: 18:55:25 time: 0.8392 data_time: 0.0611 memory: 14974 loss_prob: 1.1172 loss_thr: 0.6067 loss_db: 0.1814 loss: 1.9053 08/28 15:30:16 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:30:21 - mmengine - INFO - Epoch(train) [97][5/63] lr: 6.4935e-03 eta: 18:55:25 time: 0.9332 data_time: 0.2373 memory: 14974 loss_prob: 1.1209 loss_thr: 0.6142 loss_db: 0.1819 loss: 1.9170 08/28 15:30:25 - mmengine - INFO - Epoch(train) [97][10/63] lr: 6.4935e-03 eta: 18:54:36 time: 0.9512 data_time: 0.2038 memory: 14974 loss_prob: 1.2036 loss_thr: 0.6204 loss_db: 0.1937 loss: 2.0177 08/28 15:30:31 - mmengine - INFO - Epoch(train) [97][15/63] lr: 6.4935e-03 eta: 18:54:36 time: 0.9629 data_time: 0.1238 memory: 14974 loss_prob: 1.1444 loss_thr: 0.5789 loss_db: 0.1844 loss: 1.9076 08/28 15:30:36 - mmengine - INFO - Epoch(train) [97][20/63] lr: 6.4935e-03 eta: 18:54:29 time: 1.0115 data_time: 0.1254 memory: 14974 loss_prob: 1.1025 loss_thr: 0.5876 loss_db: 0.1794 loss: 1.8694 08/28 15:30:40 - mmengine - INFO - Epoch(train) [97][25/63] lr: 6.4935e-03 eta: 18:54:29 time: 0.9454 data_time: 0.1440 memory: 14974 loss_prob: 1.0760 loss_thr: 0.6020 loss_db: 0.1771 loss: 1.8551 08/28 15:30:44 - mmengine - INFO - Epoch(train) [97][30/63] lr: 6.4935e-03 eta: 18:54:07 time: 0.8695 data_time: 0.1312 memory: 14974 loss_prob: 1.0885 loss_thr: 0.6202 loss_db: 0.1782 loss: 1.8869 08/28 15:30:50 - mmengine - INFO - Epoch(train) [97][35/63] lr: 6.4935e-03 eta: 18:54:07 time: 1.0013 data_time: 0.0587 memory: 14974 loss_prob: 1.1113 loss_thr: 0.6144 loss_db: 0.1844 loss: 1.9102 08/28 15:30:55 - mmengine - INFO - Epoch(train) [97][40/63] lr: 6.4935e-03 eta: 18:54:02 time: 1.0234 data_time: 0.0855 memory: 14974 loss_prob: 1.1518 loss_thr: 0.5971 loss_db: 0.1922 loss: 1.9411 08/28 15:30:59 - mmengine - INFO - Epoch(train) [97][45/63] lr: 6.4935e-03 eta: 18:54:02 time: 0.8443 data_time: 0.0858 memory: 14974 loss_prob: 1.2205 loss_thr: 0.6164 loss_db: 0.1990 loss: 2.0359 08/28 15:31:03 - mmengine - INFO - Epoch(train) [97][50/63] lr: 6.4935e-03 eta: 18:53:38 time: 0.8507 data_time: 0.0562 memory: 14974 loss_prob: 1.1473 loss_thr: 0.6162 loss_db: 0.1801 loss: 1.9436 08/28 15:31:07 - mmengine - INFO - Epoch(train) [97][55/63] lr: 6.4935e-03 eta: 18:53:38 time: 0.8661 data_time: 0.0943 memory: 14974 loss_prob: 1.0170 loss_thr: 0.5840 loss_db: 0.1602 loss: 1.7612 08/28 15:31:11 - mmengine - INFO - Epoch(train) [97][60/63] lr: 6.4935e-03 eta: 18:53:13 time: 0.8456 data_time: 0.1022 memory: 14974 loss_prob: 1.2158 loss_thr: 0.6098 loss_db: 0.1970 loss: 2.0226 08/28 15:31:13 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:31:19 - mmengine - INFO - Epoch(train) [98][5/63] lr: 6.4882e-03 eta: 18:53:13 time: 0.8566 data_time: 0.1764 memory: 14974 loss_prob: 1.2250 loss_thr: 0.6199 loss_db: 0.2034 loss: 2.0483 08/28 15:31:23 - mmengine - INFO - Epoch(train) [98][10/63] lr: 6.4882e-03 eta: 18:52:23 time: 0.9386 data_time: 0.2067 memory: 14974 loss_prob: 1.1984 loss_thr: 0.6264 loss_db: 0.1962 loss: 2.0210 08/28 15:31:27 - mmengine - INFO - Epoch(train) [98][15/63] lr: 6.4882e-03 eta: 18:52:23 time: 0.8158 data_time: 0.0793 memory: 14974 loss_prob: 1.1026 loss_thr: 0.6026 loss_db: 0.1791 loss: 1.8843 08/28 15:31:31 - mmengine - INFO - Epoch(train) [98][20/63] lr: 6.4882e-03 eta: 18:51:54 time: 0.8095 data_time: 0.0730 memory: 14974 loss_prob: 1.1107 loss_thr: 0.6081 loss_db: 0.1738 loss: 1.8926 08/28 15:31:36 - mmengine - INFO - Epoch(train) [98][25/63] lr: 6.4882e-03 eta: 18:51:54 time: 0.8699 data_time: 0.1187 memory: 14974 loss_prob: 1.2777 loss_thr: 0.6487 loss_db: 0.2024 loss: 2.1289 08/28 15:31:40 - mmengine - INFO - Epoch(train) [98][30/63] lr: 6.4882e-03 eta: 18:51:38 time: 0.9241 data_time: 0.1135 memory: 14974 loss_prob: 1.4182 loss_thr: 0.6313 loss_db: 0.2335 loss: 2.2830 08/28 15:31:45 - mmengine - INFO - Epoch(train) [98][35/63] lr: 6.4882e-03 eta: 18:51:38 time: 0.9242 data_time: 0.0789 memory: 14974 loss_prob: 1.4355 loss_thr: 0.6132 loss_db: 0.2273 loss: 2.2760 08/28 15:31:50 - mmengine - INFO - Epoch(train) [98][40/63] lr: 6.4882e-03 eta: 18:51:25 time: 0.9496 data_time: 0.1192 memory: 14974 loss_prob: 1.4103 loss_thr: 0.6440 loss_db: 0.2204 loss: 2.2746 08/28 15:31:54 - mmengine - INFO - Epoch(train) [98][45/63] lr: 6.4882e-03 eta: 18:51:25 time: 0.9019 data_time: 0.1148 memory: 14974 loss_prob: 1.4773 loss_thr: 0.6290 loss_db: 0.2427 loss: 2.3491 08/28 15:31:58 - mmengine - INFO - Epoch(train) [98][50/63] lr: 6.4882e-03 eta: 18:51:04 time: 0.8762 data_time: 0.0769 memory: 14974 loss_prob: 1.3615 loss_thr: 0.5884 loss_db: 0.2262 loss: 2.1761 08/28 15:32:04 - mmengine - INFO - Epoch(train) [98][55/63] lr: 6.4882e-03 eta: 18:51:04 time: 1.0329 data_time: 0.1257 memory: 14974 loss_prob: 1.2634 loss_thr: 0.5971 loss_db: 0.2074 loss: 2.0679 08/28 15:32:08 - mmengine - INFO - Epoch(train) [98][60/63] lr: 6.4882e-03 eta: 18:50:57 time: 1.0030 data_time: 0.1131 memory: 14974 loss_prob: 1.2787 loss_thr: 0.6051 loss_db: 0.2045 loss: 2.0882 08/28 15:32:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:32:17 - mmengine - INFO - Epoch(train) [99][5/63] lr: 6.4829e-03 eta: 18:50:57 time: 0.9806 data_time: 0.1945 memory: 14974 loss_prob: 1.2316 loss_thr: 0.6038 loss_db: 0.2003 loss: 2.0357 08/28 15:32:21 - mmengine - INFO - Epoch(train) [99][10/63] lr: 6.4829e-03 eta: 18:50:19 time: 1.0425 data_time: 0.2554 memory: 14974 loss_prob: 1.1658 loss_thr: 0.5916 loss_db: 0.1874 loss: 1.9448 08/28 15:32:26 - mmengine - INFO - Epoch(train) [99][15/63] lr: 6.4829e-03 eta: 18:50:19 time: 0.8976 data_time: 0.1120 memory: 14974 loss_prob: 1.0870 loss_thr: 0.5948 loss_db: 0.1681 loss: 1.8500 08/28 15:32:30 - mmengine - INFO - Epoch(train) [99][20/63] lr: 6.4829e-03 eta: 18:49:57 time: 0.8695 data_time: 0.0593 memory: 14974 loss_prob: 1.0756 loss_thr: 0.5972 loss_db: 0.1675 loss: 1.8403 08/28 15:32:34 - mmengine - INFO - Epoch(train) [99][25/63] lr: 6.4829e-03 eta: 18:49:57 time: 0.8095 data_time: 0.0770 memory: 14974 loss_prob: 1.1623 loss_thr: 0.5994 loss_db: 0.1883 loss: 1.9499 08/28 15:32:38 - mmengine - INFO - Epoch(train) [99][30/63] lr: 6.4829e-03 eta: 18:49:26 time: 0.7894 data_time: 0.0678 memory: 14974 loss_prob: 1.1665 loss_thr: 0.6096 loss_db: 0.1911 loss: 1.9671 08/28 15:32:42 - mmengine - INFO - Epoch(train) [99][35/63] lr: 6.4829e-03 eta: 18:49:26 time: 0.7889 data_time: 0.0437 memory: 14974 loss_prob: 1.0895 loss_thr: 0.6029 loss_db: 0.1793 loss: 1.8717 08/28 15:32:46 - mmengine - INFO - Epoch(train) [99][40/63] lr: 6.4829e-03 eta: 18:48:59 time: 0.8191 data_time: 0.0670 memory: 14974 loss_prob: 1.1308 loss_thr: 0.5933 loss_db: 0.1833 loss: 1.9074 08/28 15:32:50 - mmengine - INFO - Epoch(train) [99][45/63] lr: 6.4829e-03 eta: 18:48:59 time: 0.8241 data_time: 0.0906 memory: 14974 loss_prob: 1.1238 loss_thr: 0.5721 loss_db: 0.1835 loss: 1.8794 08/28 15:32:54 - mmengine - INFO - Epoch(train) [99][50/63] lr: 6.4829e-03 eta: 18:48:31 time: 0.8125 data_time: 0.0755 memory: 14974 loss_prob: 1.0971 loss_thr: 0.5874 loss_db: 0.1787 loss: 1.8632 08/28 15:32:59 - mmengine - INFO - Epoch(train) [99][55/63] lr: 6.4829e-03 eta: 18:48:31 time: 0.9430 data_time: 0.1124 memory: 14974 loss_prob: 1.1608 loss_thr: 0.5964 loss_db: 0.1793 loss: 1.9366 08/28 15:33:04 - mmengine - INFO - Epoch(train) [99][60/63] lr: 6.4829e-03 eta: 18:48:18 time: 0.9458 data_time: 0.1273 memory: 14974 loss_prob: 1.1424 loss_thr: 0.5859 loss_db: 0.1803 loss: 1.9086 08/28 15:33:06 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:33:12 - mmengine - INFO - Epoch(train) [100][5/63] lr: 6.4776e-03 eta: 18:48:18 time: 0.9672 data_time: 0.1909 memory: 14974 loss_prob: 1.2618 loss_thr: 0.6534 loss_db: 0.2127 loss: 2.1278 08/28 15:33:16 - mmengine - INFO - Epoch(train) [100][10/63] lr: 6.4776e-03 eta: 18:47:36 time: 1.0111 data_time: 0.2620 memory: 14974 loss_prob: 1.1350 loss_thr: 0.6086 loss_db: 0.1899 loss: 1.9335 08/28 15:33:20 - mmengine - INFO - Epoch(train) [100][15/63] lr: 6.4776e-03 eta: 18:47:36 time: 0.8493 data_time: 0.1280 memory: 14974 loss_prob: 1.0244 loss_thr: 0.5786 loss_db: 0.1630 loss: 1.7660 08/28 15:33:26 - mmengine - INFO - Epoch(train) [100][20/63] lr: 6.4776e-03 eta: 18:47:25 time: 0.9604 data_time: 0.0658 memory: 14974 loss_prob: 1.1764 loss_thr: 0.6423 loss_db: 0.1916 loss: 2.0102 08/28 15:33:31 - mmengine - INFO - Epoch(train) [100][25/63] lr: 6.4776e-03 eta: 18:47:25 time: 1.0271 data_time: 0.0994 memory: 14974 loss_prob: 1.3380 loss_thr: 0.6721 loss_db: 0.2180 loss: 2.2281 08/28 15:33:34 - mmengine - INFO - Epoch(train) [100][30/63] lr: 6.4776e-03 eta: 18:47:01 time: 0.8511 data_time: 0.0875 memory: 14974 loss_prob: 1.1934 loss_thr: 0.6017 loss_db: 0.1966 loss: 1.9917 08/28 15:33:39 - mmengine - INFO - Epoch(train) [100][35/63] lr: 6.4776e-03 eta: 18:47:01 time: 0.8144 data_time: 0.0457 memory: 14974 loss_prob: 1.1669 loss_thr: 0.5999 loss_db: 0.1942 loss: 1.9610 08/28 15:33:43 - mmengine - INFO - Epoch(train) [100][40/63] lr: 6.4776e-03 eta: 18:46:41 time: 0.8810 data_time: 0.0984 memory: 14974 loss_prob: 1.1267 loss_thr: 0.5859 loss_db: 0.1851 loss: 1.8976 08/28 15:33:47 - mmengine - INFO - Epoch(train) [100][45/63] lr: 6.4776e-03 eta: 18:46:41 time: 0.8681 data_time: 0.1106 memory: 14974 loss_prob: 1.0596 loss_thr: 0.5664 loss_db: 0.1735 loss: 1.7995 08/28 15:33:51 - mmengine - INFO - Epoch(train) [100][50/63] lr: 6.4776e-03 eta: 18:46:12 time: 0.7997 data_time: 0.0592 memory: 14974 loss_prob: 1.1264 loss_thr: 0.5862 loss_db: 0.1798 loss: 1.8923 08/28 15:33:56 - mmengine - INFO - Epoch(train) [100][55/63] lr: 6.4776e-03 eta: 18:46:12 time: 0.8277 data_time: 0.0850 memory: 14974 loss_prob: 1.2527 loss_thr: 0.6070 loss_db: 0.1978 loss: 2.0574 08/28 15:34:00 - mmengine - INFO - Epoch(train) [100][60/63] lr: 6.4776e-03 eta: 18:45:49 time: 0.8575 data_time: 0.0887 memory: 14974 loss_prob: 1.3063 loss_thr: 0.6293 loss_db: 0.2129 loss: 2.1485 08/28 15:34:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:34:02 - mmengine - INFO - Saving checkpoint at 100 epochs 08/28 15:34:09 - mmengine - INFO - Epoch(val) [100][5/500] eta: 18:45:49 time: 0.0755 data_time: 0.0122 memory: 14974 08/28 15:34:09 - mmengine - INFO - Epoch(val) [100][10/500] eta: 0:00:37 time: 0.0770 data_time: 0.0123 memory: 1021 08/28 15:34:10 - mmengine - INFO - Epoch(val) [100][15/500] eta: 0:00:37 time: 0.0447 data_time: 0.0025 memory: 1021 08/28 15:34:10 - mmengine - INFO - Epoch(val) [100][20/500] eta: 0:00:21 time: 0.0456 data_time: 0.0024 memory: 1021 08/28 15:34:10 - mmengine - INFO - Epoch(val) [100][25/500] eta: 0:00:21 time: 0.0460 data_time: 0.0023 memory: 1021 08/28 15:34:10 - mmengine - INFO - Epoch(val) [100][30/500] eta: 0:00:22 time: 0.0476 data_time: 0.0023 memory: 1021 08/28 15:34:11 - mmengine - INFO - Epoch(val) [100][35/500] eta: 0:00:22 time: 0.0475 data_time: 0.0023 memory: 1021 08/28 15:34:11 - mmengine - INFO - Epoch(val) [100][40/500] eta: 0:00:22 time: 0.0486 data_time: 0.0022 memory: 1021 08/28 15:34:11 - mmengine - INFO - Epoch(val) [100][45/500] eta: 0:00:22 time: 0.0492 data_time: 0.0022 memory: 1021 08/28 15:34:11 - mmengine - INFO - Epoch(val) [100][50/500] eta: 0:00:21 time: 0.0469 data_time: 0.0023 memory: 1021 08/28 15:34:12 - mmengine - INFO - Epoch(val) [100][55/500] eta: 0:00:21 time: 0.0477 data_time: 0.0024 memory: 1021 08/28 15:34:12 - mmengine - INFO - Epoch(val) [100][60/500] eta: 0:00:19 time: 0.0449 data_time: 0.0024 memory: 1021 08/28 15:34:12 - mmengine - INFO - Epoch(val) [100][65/500] eta: 0:00:19 time: 0.0467 data_time: 0.0023 memory: 1021 08/28 15:34:12 - mmengine - INFO - Epoch(val) [100][70/500] eta: 0:00:20 time: 0.0487 data_time: 0.0023 memory: 1021 08/28 15:34:13 - mmengine - INFO - Epoch(val) [100][75/500] eta: 0:00:20 time: 0.0498 data_time: 0.0068 memory: 1021 08/28 15:34:13 - mmengine - INFO - Epoch(val) [100][80/500] eta: 0:00:20 time: 0.0483 data_time: 0.0068 memory: 1021 08/28 15:34:13 - mmengine - INFO - Epoch(val) [100][85/500] eta: 0:00:20 time: 0.0431 data_time: 0.0022 memory: 1021 08/28 15:34:13 - mmengine - INFO - Epoch(val) [100][90/500] eta: 0:00:19 time: 0.0466 data_time: 0.0022 memory: 1021 08/28 15:34:13 - mmengine - INFO - Epoch(val) [100][95/500] eta: 0:00:19 time: 0.0482 data_time: 0.0023 memory: 1021 08/28 15:34:14 - mmengine - INFO - Epoch(val) [100][100/500] eta: 0:00:17 time: 0.0444 data_time: 0.0023 memory: 1021 08/28 15:34:14 - mmengine - INFO - Epoch(val) [100][105/500] eta: 0:00:17 time: 0.0438 data_time: 0.0023 memory: 1021 08/28 15:34:14 - mmengine - INFO - Epoch(val) [100][110/500] eta: 0:00:17 time: 0.0442 data_time: 0.0023 memory: 1021 08/28 15:34:14 - mmengine - INFO - Epoch(val) [100][115/500] eta: 0:00:17 time: 0.0450 data_time: 0.0023 memory: 1021 08/28 15:34:15 - mmengine - INFO - Epoch(val) [100][120/500] eta: 0:00:17 time: 0.0457 data_time: 0.0023 memory: 1021 08/28 15:34:15 - mmengine - INFO - Epoch(val) [100][125/500] eta: 0:00:17 time: 0.0449 data_time: 0.0023 memory: 1021 08/28 15:34:15 - mmengine - INFO - Epoch(val) [100][130/500] eta: 0:00:16 time: 0.0441 data_time: 0.0022 memory: 1021 08/28 15:34:15 - mmengine - INFO - Epoch(val) [100][135/500] eta: 0:00:16 time: 0.0439 data_time: 0.0021 memory: 1021 08/28 15:34:15 - mmengine - INFO - Epoch(val) [100][140/500] eta: 0:00:15 time: 0.0440 data_time: 0.0023 memory: 1021 08/28 15:34:16 - mmengine - INFO - Epoch(val) [100][145/500] eta: 0:00:15 time: 0.0489 data_time: 0.0032 memory: 1021 08/28 15:34:16 - mmengine - INFO - Epoch(val) [100][150/500] eta: 0:00:17 time: 0.0510 data_time: 0.0033 memory: 1021 08/28 15:34:16 - mmengine - INFO - Epoch(val) [100][155/500] eta: 0:00:17 time: 0.0506 data_time: 0.0025 memory: 1021 08/28 15:34:16 - mmengine - INFO - Epoch(val) [100][160/500] eta: 0:00:17 time: 0.0500 data_time: 0.0024 memory: 1021 08/28 15:34:17 - mmengine - INFO - Epoch(val) [100][165/500] eta: 0:00:17 time: 0.0473 data_time: 0.0023 memory: 1021 08/28 15:34:17 - mmengine - INFO - Epoch(val) [100][170/500] eta: 0:00:15 time: 0.0473 data_time: 0.0024 memory: 1021 08/28 15:34:17 - mmengine - INFO - Epoch(val) [100][175/500] eta: 0:00:15 time: 0.0447 data_time: 0.0023 memory: 1021 08/28 15:34:17 - mmengine - INFO - Epoch(val) [100][180/500] eta: 0:00:14 time: 0.0444 data_time: 0.0023 memory: 1021 08/28 15:34:18 - mmengine - INFO - Epoch(val) [100][185/500] eta: 0:00:14 time: 0.0481 data_time: 0.0024 memory: 1021 08/28 15:34:18 - mmengine - INFO - Epoch(val) [100][190/500] eta: 0:00:15 time: 0.0491 data_time: 0.0024 memory: 1021 08/28 15:34:18 - mmengine - INFO - Epoch(val) [100][195/500] eta: 0:00:15 time: 0.0460 data_time: 0.0023 memory: 1021 08/28 15:34:18 - mmengine - INFO - Epoch(val) [100][200/500] eta: 0:00:15 time: 0.0509 data_time: 0.0029 memory: 1021 08/28 15:34:19 - mmengine - INFO - Epoch(val) [100][205/500] eta: 0:00:15 time: 0.0515 data_time: 0.0033 memory: 1021 08/28 15:34:19 - mmengine - INFO - Epoch(val) [100][210/500] eta: 0:00:13 time: 0.0449 data_time: 0.0026 memory: 1021 08/28 15:34:20 - mmengine - INFO - Epoch(val) [100][215/500] eta: 0:00:13 time: 0.1188 data_time: 0.0079 memory: 1021 08/28 15:34:20 - mmengine - INFO - Epoch(val) [100][220/500] eta: 0:00:34 time: 0.1230 data_time: 0.0088 memory: 1021 08/28 15:34:20 - mmengine - INFO - Epoch(val) [100][225/500] eta: 0:00:34 time: 0.0500 data_time: 0.0033 memory: 1021 08/28 15:34:21 - mmengine - INFO - Epoch(val) [100][230/500] eta: 0:00:12 time: 0.0445 data_time: 0.0024 memory: 1021 08/28 15:34:21 - mmengine - INFO - Epoch(val) [100][235/500] eta: 0:00:12 time: 0.0479 data_time: 0.0026 memory: 1021 08/28 15:34:21 - mmengine - INFO - Epoch(val) [100][240/500] eta: 0:00:14 time: 0.0556 data_time: 0.0028 memory: 1021 08/28 15:34:21 - mmengine - INFO - Epoch(val) [100][245/500] eta: 0:00:14 time: 0.0525 data_time: 0.0030 memory: 1021 08/28 15:34:22 - mmengine - INFO - Epoch(val) [100][250/500] eta: 0:00:12 time: 0.0515 data_time: 0.0029 memory: 1021 08/28 15:34:22 - mmengine - INFO - Epoch(val) [100][255/500] eta: 0:00:12 time: 0.0537 data_time: 0.0026 memory: 1021 08/28 15:34:22 - mmengine - INFO - Epoch(val) [100][260/500] eta: 0:00:11 time: 0.0491 data_time: 0.0023 memory: 1021 08/28 15:34:22 - mmengine - INFO - Epoch(val) [100][265/500] eta: 0:00:11 time: 0.0500 data_time: 0.0024 memory: 1021 08/28 15:34:23 - mmengine - INFO - Epoch(val) [100][270/500] eta: 0:00:13 time: 0.0567 data_time: 0.0082 memory: 1021 08/28 15:34:23 - mmengine - INFO - Epoch(val) [100][275/500] eta: 0:00:13 time: 0.0563 data_time: 0.0081 memory: 1021 08/28 15:34:23 - mmengine - INFO - Epoch(val) [100][280/500] eta: 0:00:11 time: 0.0545 data_time: 0.0025 memory: 1021 08/28 15:34:23 - mmengine - INFO - Epoch(val) [100][285/500] eta: 0:00:11 time: 0.0521 data_time: 0.0025 memory: 1021 08/28 15:34:24 - mmengine - INFO - Epoch(val) [100][290/500] eta: 0:00:11 time: 0.0531 data_time: 0.0027 memory: 1021 08/28 15:34:24 - mmengine - INFO - Epoch(val) [100][295/500] eta: 0:00:11 time: 0.0540 data_time: 0.0025 memory: 1021 08/28 15:34:24 - mmengine - INFO - Epoch(val) [100][300/500] eta: 0:00:10 time: 0.0507 data_time: 0.0024 memory: 1021 08/28 15:34:24 - mmengine - INFO - Epoch(val) [100][305/500] eta: 0:00:10 time: 0.0524 data_time: 0.0026 memory: 1021 08/28 15:34:25 - mmengine - INFO - Epoch(val) [100][310/500] eta: 0:00:09 time: 0.0510 data_time: 0.0024 memory: 1021 08/28 15:34:25 - mmengine - INFO - Epoch(val) [100][315/500] eta: 0:00:09 time: 0.0572 data_time: 0.0023 memory: 1021 08/28 15:34:25 - mmengine - INFO - Epoch(val) [100][320/500] eta: 0:00:10 time: 0.0581 data_time: 0.0024 memory: 1021 08/28 15:34:26 - mmengine - INFO - Epoch(val) [100][325/500] eta: 0:00:10 time: 0.0705 data_time: 0.0039 memory: 1021 08/28 15:34:26 - mmengine - INFO - Epoch(val) [100][330/500] eta: 0:00:11 time: 0.0672 data_time: 0.0042 memory: 1021 08/28 15:34:26 - mmengine - INFO - Epoch(val) [100][335/500] eta: 0:00:11 time: 0.0436 data_time: 0.0025 memory: 1021 08/28 15:34:27 - mmengine - INFO - Epoch(val) [100][340/500] eta: 0:00:08 time: 0.0534 data_time: 0.0022 memory: 1021 08/28 15:34:27 - mmengine - INFO - Epoch(val) [100][345/500] eta: 0:00:08 time: 0.0544 data_time: 0.0022 memory: 1021 08/28 15:34:27 - mmengine - INFO - Epoch(val) [100][350/500] eta: 0:00:07 time: 0.0488 data_time: 0.0021 memory: 1021 08/28 15:34:27 - mmengine - INFO - Epoch(val) [100][355/500] eta: 0:00:07 time: 0.0476 data_time: 0.0021 memory: 1021 08/28 15:34:27 - mmengine - INFO - Epoch(val) [100][360/500] eta: 0:00:06 time: 0.0452 data_time: 0.0021 memory: 1021 08/28 15:34:28 - mmengine - INFO - Epoch(val) [100][365/500] eta: 0:00:06 time: 0.0470 data_time: 0.0021 memory: 1021 08/28 15:34:28 - mmengine - INFO - Epoch(val) [100][370/500] eta: 0:00:05 time: 0.0436 data_time: 0.0021 memory: 1021 08/28 15:34:28 - mmengine - INFO - Epoch(val) [100][375/500] eta: 0:00:05 time: 0.0414 data_time: 0.0020 memory: 1021 08/28 15:34:28 - mmengine - INFO - Epoch(val) [100][380/500] eta: 0:00:05 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 15:34:29 - mmengine - INFO - Epoch(val) [100][385/500] eta: 0:00:05 time: 0.0457 data_time: 0.0021 memory: 1021 08/28 15:34:29 - mmengine - INFO - Epoch(val) [100][390/500] eta: 0:00:05 time: 0.0455 data_time: 0.0025 memory: 1021 08/28 15:34:29 - mmengine - INFO - Epoch(val) [100][395/500] eta: 0:00:05 time: 0.0458 data_time: 0.0026 memory: 1021 08/28 15:34:29 - mmengine - INFO - Epoch(val) [100][400/500] eta: 0:00:04 time: 0.0474 data_time: 0.0040 memory: 1021 08/28 15:34:30 - mmengine - INFO - Epoch(val) [100][405/500] eta: 0:00:04 time: 0.0493 data_time: 0.0043 memory: 1021 08/28 15:34:30 - mmengine - INFO - Epoch(val) [100][410/500] eta: 0:00:04 time: 0.0505 data_time: 0.0032 memory: 1021 08/28 15:34:30 - mmengine - INFO - Epoch(val) [100][415/500] eta: 0:00:04 time: 0.0482 data_time: 0.0029 memory: 1021 08/28 15:34:30 - mmengine - INFO - Epoch(val) [100][420/500] eta: 0:00:04 time: 0.0604 data_time: 0.0051 memory: 1021 08/28 15:34:31 - mmengine - INFO - Epoch(val) [100][425/500] eta: 0:00:04 time: 0.0686 data_time: 0.0055 memory: 1021 08/28 15:34:31 - mmengine - INFO - Epoch(val) [100][430/500] eta: 0:00:03 time: 0.0527 data_time: 0.0029 memory: 1021 08/28 15:34:31 - mmengine - INFO - Epoch(val) [100][435/500] eta: 0:00:03 time: 0.0453 data_time: 0.0024 memory: 1021 08/28 15:34:31 - mmengine - INFO - Epoch(val) [100][440/500] eta: 0:00:02 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 15:34:32 - mmengine - INFO - Epoch(val) [100][445/500] eta: 0:00:02 time: 0.0480 data_time: 0.0023 memory: 1021 08/28 15:34:32 - mmengine - INFO - Epoch(val) [100][450/500] eta: 0:00:02 time: 0.0483 data_time: 0.0025 memory: 1021 08/28 15:34:32 - mmengine - INFO - Epoch(val) [100][455/500] eta: 0:00:02 time: 0.0468 data_time: 0.0024 memory: 1021 08/28 15:34:32 - mmengine - INFO - Epoch(val) [100][460/500] eta: 0:00:01 time: 0.0439 data_time: 0.0022 memory: 1021 08/28 15:34:33 - mmengine - INFO - Epoch(val) [100][465/500] eta: 0:00:01 time: 0.0424 data_time: 0.0023 memory: 1021 08/28 15:34:33 - mmengine - INFO - Epoch(val) [100][470/500] eta: 0:00:01 time: 0.0444 data_time: 0.0023 memory: 1021 08/28 15:34:33 - mmengine - INFO - Epoch(val) [100][475/500] eta: 0:00:01 time: 0.0445 data_time: 0.0023 memory: 1021 08/28 15:34:33 - mmengine - INFO - Epoch(val) [100][480/500] eta: 0:00:00 time: 0.0440 data_time: 0.0023 memory: 1021 08/28 15:34:33 - mmengine - INFO - Epoch(val) [100][485/500] eta: 0:00:00 time: 0.0446 data_time: 0.0023 memory: 1021 08/28 15:34:34 - mmengine - INFO - Epoch(val) [100][490/500] eta: 0:00:00 time: 0.0461 data_time: 0.0023 memory: 1021 08/28 15:34:34 - mmengine - INFO - Epoch(val) [100][495/500] eta: 0:00:00 time: 0.0476 data_time: 0.0023 memory: 1021 08/28 15:34:34 - mmengine - INFO - Epoch(val) [100][500/500] eta: 0:00:00 time: 0.0452 data_time: 0.0023 memory: 1021 08/28 15:34:34 - mmengine - INFO - Evaluating hmean-iou... 08/28 15:34:34 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8060, precision: 0.6883, hmean: 0.7425 08/28 15:34:34 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8050, precision: 0.7656, hmean: 0.7848 08/28 15:34:34 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7968, precision: 0.8263, hmean: 0.8113 08/28 15:34:34 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7665, precision: 0.8714, hmean: 0.8156 08/28 15:34:34 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6692, precision: 0.9310, hmean: 0.7787 08/28 15:34:34 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.2109, precision: 0.9481, hmean: 0.3450 08/28 15:34:34 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0000, precision: 0.0000, hmean: 0.0000 08/28 15:34:34 - mmengine - INFO - Epoch(val) [100][500/500] icdar/precision: 0.8714 icdar/recall: 0.7665 icdar/hmean: 0.8156 08/28 15:34:42 - mmengine - INFO - Epoch(train) [101][5/63] lr: 6.4723e-03 eta: 0:00:00 time: 1.0913 data_time: 0.1803 memory: 14974 loss_prob: 1.1673 loss_thr: 0.5813 loss_db: 0.1898 loss: 1.9384 08/28 15:34:46 - mmengine - INFO - Epoch(train) [101][10/63] lr: 6.4723e-03 eta: 18:45:20 time: 1.1123 data_time: 0.1805 memory: 14974 loss_prob: 1.0910 loss_thr: 0.5936 loss_db: 0.1747 loss: 1.8594 08/28 15:34:51 - mmengine - INFO - Epoch(train) [101][15/63] lr: 6.4723e-03 eta: 18:45:20 time: 0.8831 data_time: 0.0854 memory: 14974 loss_prob: 1.2489 loss_thr: 0.6467 loss_db: 0.2028 loss: 2.0984 08/28 15:34:56 - mmengine - INFO - Epoch(train) [101][20/63] lr: 6.4723e-03 eta: 18:45:07 time: 0.9451 data_time: 0.0840 memory: 14974 loss_prob: 1.2081 loss_thr: 0.6319 loss_db: 0.1972 loss: 2.0372 08/28 15:35:00 - mmengine - INFO - Epoch(train) [101][25/63] lr: 6.4723e-03 eta: 18:45:07 time: 0.8783 data_time: 0.0532 memory: 14974 loss_prob: 1.1146 loss_thr: 0.6005 loss_db: 0.1856 loss: 1.9008 08/28 15:35:04 - mmengine - INFO - Epoch(train) [101][30/63] lr: 6.4723e-03 eta: 18:44:45 time: 0.8652 data_time: 0.1081 memory: 14974 loss_prob: 1.1444 loss_thr: 0.5954 loss_db: 0.1904 loss: 1.9301 08/28 15:35:09 - mmengine - INFO - Epoch(train) [101][35/63] lr: 6.4723e-03 eta: 18:44:45 time: 0.8538 data_time: 0.1112 memory: 14974 loss_prob: 1.1048 loss_thr: 0.5869 loss_db: 0.1795 loss: 1.8712 08/28 15:35:12 - mmengine - INFO - Epoch(train) [101][40/63] lr: 6.4723e-03 eta: 18:44:17 time: 0.8066 data_time: 0.0506 memory: 14974 loss_prob: 1.1554 loss_thr: 0.5959 loss_db: 0.1849 loss: 1.9363 08/28 15:35:18 - mmengine - INFO - Epoch(train) [101][45/63] lr: 6.4723e-03 eta: 18:44:17 time: 0.9082 data_time: 0.0681 memory: 14974 loss_prob: 1.1474 loss_thr: 0.6257 loss_db: 0.1855 loss: 1.9587 08/28 15:35:21 - mmengine - INFO - Epoch(train) [101][50/63] lr: 6.4723e-03 eta: 18:44:00 time: 0.9056 data_time: 0.0715 memory: 14974 loss_prob: 1.0910 loss_thr: 0.6103 loss_db: 0.1731 loss: 1.8744 08/28 15:35:25 - mmengine - INFO - Epoch(train) [101][55/63] lr: 6.4723e-03 eta: 18:44:00 time: 0.7755 data_time: 0.0519 memory: 14974 loss_prob: 1.3554 loss_thr: 0.6086 loss_db: 0.2069 loss: 2.1709 08/28 15:35:30 - mmengine - INFO - Epoch(train) [101][60/63] lr: 6.4723e-03 eta: 18:43:37 time: 0.8516 data_time: 0.1238 memory: 14974 loss_prob: 1.4730 loss_thr: 0.6318 loss_db: 0.2308 loss: 2.3357 08/28 15:35:32 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:35:37 - mmengine - INFO - Epoch(train) [102][5/63] lr: 6.4670e-03 eta: 18:43:37 time: 0.8792 data_time: 0.1780 memory: 14974 loss_prob: 1.1757 loss_thr: 0.6157 loss_db: 0.1927 loss: 1.9841 08/28 15:35:43 - mmengine - INFO - Epoch(train) [102][10/63] lr: 6.4670e-03 eta: 18:43:01 time: 1.0546 data_time: 0.2267 memory: 14974 loss_prob: 1.1218 loss_thr: 0.6108 loss_db: 0.1864 loss: 1.9190 08/28 15:35:48 - mmengine - INFO - Epoch(train) [102][15/63] lr: 6.4670e-03 eta: 18:43:01 time: 1.0496 data_time: 0.1233 memory: 14974 loss_prob: 1.0727 loss_thr: 0.5982 loss_db: 0.1751 loss: 1.8459 08/28 15:35:52 - mmengine - INFO - Epoch(train) [102][20/63] lr: 6.4670e-03 eta: 18:42:51 time: 0.9704 data_time: 0.1346 memory: 14974 loss_prob: 1.0853 loss_thr: 0.6026 loss_db: 0.1739 loss: 1.8617 08/28 15:35:57 - mmengine - INFO - Epoch(train) [102][25/63] lr: 6.4670e-03 eta: 18:42:51 time: 0.9008 data_time: 0.1193 memory: 14974 loss_prob: 1.0998 loss_thr: 0.5787 loss_db: 0.1795 loss: 1.8580 08/28 15:36:03 - mmengine - INFO - Epoch(train) [102][30/63] lr: 6.4670e-03 eta: 18:42:47 time: 1.0264 data_time: 0.0638 memory: 14974 loss_prob: 1.1167 loss_thr: 0.5792 loss_db: 0.1848 loss: 1.8806 08/28 15:36:07 - mmengine - INFO - Epoch(train) [102][35/63] lr: 6.4670e-03 eta: 18:42:47 time: 1.0257 data_time: 0.1021 memory: 14974 loss_prob: 1.2193 loss_thr: 0.6204 loss_db: 0.1986 loss: 2.0383 08/28 15:36:11 - mmengine - INFO - Epoch(train) [102][40/63] lr: 6.4670e-03 eta: 18:42:22 time: 0.8306 data_time: 0.0888 memory: 14974 loss_prob: 1.2317 loss_thr: 0.6132 loss_db: 0.1989 loss: 2.0438 08/28 15:36:15 - mmengine - INFO - Epoch(train) [102][45/63] lr: 6.4670e-03 eta: 18:42:22 time: 0.8422 data_time: 0.0485 memory: 14974 loss_prob: 1.0815 loss_thr: 0.5788 loss_db: 0.1745 loss: 1.8348 08/28 15:36:20 - mmengine - INFO - Epoch(train) [102][50/63] lr: 6.4670e-03 eta: 18:42:04 time: 0.8927 data_time: 0.0976 memory: 14974 loss_prob: 1.0330 loss_thr: 0.5868 loss_db: 0.1688 loss: 1.7885 08/28 15:36:24 - mmengine - INFO - Epoch(train) [102][55/63] lr: 6.4670e-03 eta: 18:42:04 time: 0.8634 data_time: 0.1042 memory: 14974 loss_prob: 1.1973 loss_thr: 0.5970 loss_db: 0.2034 loss: 1.9977 08/28 15:36:29 - mmengine - INFO - Epoch(train) [102][60/63] lr: 6.4670e-03 eta: 18:41:44 time: 0.8792 data_time: 0.0698 memory: 14974 loss_prob: 1.3579 loss_thr: 0.6183 loss_db: 0.2294 loss: 2.2057 08/28 15:36:31 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:36:36 - mmengine - INFO - Epoch(train) [103][5/63] lr: 6.4617e-03 eta: 18:41:44 time: 0.9056 data_time: 0.2090 memory: 14974 loss_prob: 1.4179 loss_thr: 0.6687 loss_db: 0.2298 loss: 2.3164 08/28 15:36:40 - mmengine - INFO - Epoch(train) [103][10/63] lr: 6.4617e-03 eta: 18:40:56 time: 0.9359 data_time: 0.1835 memory: 14974 loss_prob: 1.3620 loss_thr: 0.6433 loss_db: 0.2165 loss: 2.2218 08/28 15:36:45 - mmengine - INFO - Epoch(train) [103][15/63] lr: 6.4617e-03 eta: 18:40:56 time: 0.8571 data_time: 0.1196 memory: 14974 loss_prob: 1.2327 loss_thr: 0.6039 loss_db: 0.1966 loss: 2.0332 08/28 15:36:49 - mmengine - INFO - Epoch(train) [103][20/63] lr: 6.4617e-03 eta: 18:40:41 time: 0.9232 data_time: 0.1483 memory: 14974 loss_prob: 1.2033 loss_thr: 0.6013 loss_db: 0.1958 loss: 2.0004 08/28 15:36:53 - mmengine - INFO - Epoch(train) [103][25/63] lr: 6.4617e-03 eta: 18:40:41 time: 0.8614 data_time: 0.0813 memory: 14974 loss_prob: 1.2480 loss_thr: 0.6097 loss_db: 0.2035 loss: 2.0612 08/28 15:36:58 - mmengine - INFO - Epoch(train) [103][30/63] lr: 6.4617e-03 eta: 18:40:18 time: 0.8548 data_time: 0.1205 memory: 14974 loss_prob: 1.1148 loss_thr: 0.5890 loss_db: 0.1815 loss: 1.8853 08/28 15:37:02 - mmengine - INFO - Epoch(train) [103][35/63] lr: 6.4617e-03 eta: 18:40:18 time: 0.9055 data_time: 0.1169 memory: 14974 loss_prob: 1.0749 loss_thr: 0.5868 loss_db: 0.1757 loss: 1.8373 08/28 15:37:08 - mmengine - INFO - Epoch(train) [103][40/63] lr: 6.4617e-03 eta: 18:40:06 time: 0.9508 data_time: 0.0584 memory: 14974 loss_prob: 1.2148 loss_thr: 0.6192 loss_db: 0.1943 loss: 2.0283 08/28 15:37:12 - mmengine - INFO - Epoch(train) [103][45/63] lr: 6.4617e-03 eta: 18:40:06 time: 0.9850 data_time: 0.1332 memory: 14974 loss_prob: 1.1434 loss_thr: 0.5922 loss_db: 0.1837 loss: 1.9193 08/28 15:37:16 - mmengine - INFO - Epoch(train) [103][50/63] lr: 6.4617e-03 eta: 18:39:48 time: 0.8912 data_time: 0.1312 memory: 14974 loss_prob: 1.0464 loss_thr: 0.5718 loss_db: 0.1733 loss: 1.7915 08/28 15:37:22 - mmengine - INFO - Epoch(train) [103][55/63] lr: 6.4617e-03 eta: 18:39:48 time: 0.9639 data_time: 0.0630 memory: 14974 loss_prob: 1.0705 loss_thr: 0.5835 loss_db: 0.1806 loss: 1.8346 08/28 15:37:27 - mmengine - INFO - Epoch(train) [103][60/63] lr: 6.4617e-03 eta: 18:39:49 time: 1.0695 data_time: 0.1017 memory: 14974 loss_prob: 1.0381 loss_thr: 0.5652 loss_db: 0.1739 loss: 1.7772 08/28 15:37:29 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:37:35 - mmengine - INFO - Epoch(train) [104][5/63] lr: 6.4564e-03 eta: 18:39:49 time: 0.9634 data_time: 0.1793 memory: 14974 loss_prob: 1.0552 loss_thr: 0.5814 loss_db: 0.1695 loss: 1.8060 08/28 15:37:40 - mmengine - INFO - Epoch(train) [104][10/63] lr: 6.4564e-03 eta: 18:39:12 time: 1.0366 data_time: 0.2245 memory: 14974 loss_prob: 1.0140 loss_thr: 0.5575 loss_db: 0.1653 loss: 1.7368 08/28 15:37:44 - mmengine - INFO - Epoch(train) [104][15/63] lr: 6.4564e-03 eta: 18:39:12 time: 0.8946 data_time: 0.1076 memory: 14974 loss_prob: 1.1169 loss_thr: 0.5644 loss_db: 0.1857 loss: 1.8671 08/28 15:37:48 - mmengine - INFO - Epoch(train) [104][20/63] lr: 6.4564e-03 eta: 18:38:49 time: 0.8518 data_time: 0.0628 memory: 14974 loss_prob: 1.1442 loss_thr: 0.5768 loss_db: 0.1894 loss: 1.9105 08/28 15:37:53 - mmengine - INFO - Epoch(train) [104][25/63] lr: 6.4564e-03 eta: 18:38:49 time: 0.8667 data_time: 0.1172 memory: 14974 loss_prob: 1.1276 loss_thr: 0.6069 loss_db: 0.1806 loss: 1.9152 08/28 15:37:57 - mmengine - INFO - Epoch(train) [104][30/63] lr: 6.4564e-03 eta: 18:38:28 time: 0.8642 data_time: 0.1036 memory: 14974 loss_prob: 1.2024 loss_thr: 0.6094 loss_db: 0.1970 loss: 2.0088 08/28 15:38:01 - mmengine - INFO - Epoch(train) [104][35/63] lr: 6.4564e-03 eta: 18:38:28 time: 0.7955 data_time: 0.0407 memory: 14974 loss_prob: 1.1119 loss_thr: 0.5581 loss_db: 0.1857 loss: 1.8556 08/28 15:38:05 - mmengine - INFO - Epoch(train) [104][40/63] lr: 6.4564e-03 eta: 18:38:01 time: 0.8028 data_time: 0.0683 memory: 14974 loss_prob: 1.0858 loss_thr: 0.5884 loss_db: 0.1757 loss: 1.8499 08/28 15:38:09 - mmengine - INFO - Epoch(train) [104][45/63] lr: 6.4564e-03 eta: 18:38:01 time: 0.8675 data_time: 0.0996 memory: 14974 loss_prob: 1.1930 loss_thr: 0.6375 loss_db: 0.1900 loss: 2.0205 08/28 15:38:13 - mmengine - INFO - Epoch(train) [104][50/63] lr: 6.4564e-03 eta: 18:37:40 time: 0.8672 data_time: 0.0931 memory: 14974 loss_prob: 1.1506 loss_thr: 0.6198 loss_db: 0.1887 loss: 1.9592 08/28 15:38:18 - mmengine - INFO - Epoch(train) [104][55/63] lr: 6.4564e-03 eta: 18:37:40 time: 0.8826 data_time: 0.1202 memory: 14974 loss_prob: 1.1521 loss_thr: 0.6145 loss_db: 0.1929 loss: 1.9595 08/28 15:38:23 - mmengine - INFO - Epoch(train) [104][60/63] lr: 6.4564e-03 eta: 18:37:25 time: 0.9243 data_time: 0.1363 memory: 14974 loss_prob: 1.1970 loss_thr: 0.6142 loss_db: 0.1928 loss: 2.0040 08/28 15:38:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:38:31 - mmengine - INFO - Epoch(train) [105][5/63] lr: 6.4511e-03 eta: 18:37:25 time: 0.9960 data_time: 0.2094 memory: 14974 loss_prob: 1.0985 loss_thr: 0.5903 loss_db: 0.1805 loss: 1.8693 08/28 15:38:35 - mmengine - INFO - Epoch(train) [105][10/63] lr: 6.4511e-03 eta: 18:36:45 time: 0.9984 data_time: 0.2791 memory: 14974 loss_prob: 1.1420 loss_thr: 0.5981 loss_db: 0.1873 loss: 1.9274 08/28 15:38:40 - mmengine - INFO - Epoch(train) [105][15/63] lr: 6.4511e-03 eta: 18:36:45 time: 0.9283 data_time: 0.1249 memory: 14974 loss_prob: 1.1749 loss_thr: 0.6053 loss_db: 0.1879 loss: 1.9681 08/28 15:38:46 - mmengine - INFO - Epoch(train) [105][20/63] lr: 6.4511e-03 eta: 18:36:42 time: 1.0344 data_time: 0.0706 memory: 14974 loss_prob: 1.0539 loss_thr: 0.5895 loss_db: 0.1696 loss: 1.8130 08/28 15:38:50 - mmengine - INFO - Epoch(train) [105][25/63] lr: 6.4511e-03 eta: 18:36:42 time: 0.9933 data_time: 0.1176 memory: 14974 loss_prob: 1.0265 loss_thr: 0.5500 loss_db: 0.1686 loss: 1.7451 08/28 15:38:55 - mmengine - INFO - Epoch(train) [105][30/63] lr: 6.4511e-03 eta: 18:36:26 time: 0.9070 data_time: 0.0930 memory: 14974 loss_prob: 1.0251 loss_thr: 0.5523 loss_db: 0.1657 loss: 1.7431 08/28 15:38:59 - mmengine - INFO - Epoch(train) [105][35/63] lr: 6.4511e-03 eta: 18:36:26 time: 0.8779 data_time: 0.0533 memory: 14974 loss_prob: 1.1006 loss_thr: 0.5926 loss_db: 0.1778 loss: 1.8711 08/28 15:39:03 - mmengine - INFO - Epoch(train) [105][40/63] lr: 6.4511e-03 eta: 18:36:04 time: 0.8571 data_time: 0.1124 memory: 14974 loss_prob: 1.1892 loss_thr: 0.5894 loss_db: 0.1915 loss: 1.9701 08/28 15:39:08 - mmengine - INFO - Epoch(train) [105][45/63] lr: 6.4511e-03 eta: 18:36:04 time: 0.9260 data_time: 0.1064 memory: 14974 loss_prob: 1.0847 loss_thr: 0.5542 loss_db: 0.1760 loss: 1.8149 08/28 15:39:12 - mmengine - INFO - Epoch(train) [105][50/63] lr: 6.4511e-03 eta: 18:35:44 time: 0.8721 data_time: 0.0642 memory: 14974 loss_prob: 1.1403 loss_thr: 0.5841 loss_db: 0.1886 loss: 1.9130 08/28 15:39:16 - mmengine - INFO - Epoch(train) [105][55/63] lr: 6.4511e-03 eta: 18:35:44 time: 0.8036 data_time: 0.0804 memory: 14974 loss_prob: 1.2176 loss_thr: 0.6168 loss_db: 0.1962 loss: 2.0306 08/28 15:39:20 - mmengine - INFO - Epoch(train) [105][60/63] lr: 6.4511e-03 eta: 18:35:16 time: 0.7938 data_time: 0.0669 memory: 14974 loss_prob: 1.2555 loss_thr: 0.6212 loss_db: 0.2071 loss: 2.0838 08/28 15:39:22 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:39:27 - mmengine - INFO - Epoch(train) [106][5/63] lr: 6.4458e-03 eta: 18:35:16 time: 0.9015 data_time: 0.1772 memory: 14974 loss_prob: 1.4732 loss_thr: 0.6374 loss_db: 0.2386 loss: 2.3492 08/28 15:39:32 - mmengine - INFO - Epoch(train) [106][10/63] lr: 6.4458e-03 eta: 18:34:33 time: 0.9715 data_time: 0.2461 memory: 14974 loss_prob: 1.4199 loss_thr: 0.6153 loss_db: 0.2289 loss: 2.2641 08/28 15:39:36 - mmengine - INFO - Epoch(train) [106][15/63] lr: 6.4458e-03 eta: 18:34:33 time: 0.8318 data_time: 0.1092 memory: 14974 loss_prob: 1.5160 loss_thr: 0.6192 loss_db: 0.2414 loss: 2.3766 08/28 15:39:42 - mmengine - INFO - Epoch(train) [106][20/63] lr: 6.4458e-03 eta: 18:34:24 time: 0.9703 data_time: 0.0879 memory: 14974 loss_prob: 1.4990 loss_thr: 0.6329 loss_db: 0.2377 loss: 2.3696 08/28 15:39:48 - mmengine - INFO - Epoch(train) [106][25/63] lr: 6.4458e-03 eta: 18:34:24 time: 1.1783 data_time: 0.1596 memory: 14974 loss_prob: 1.3457 loss_thr: 0.6371 loss_db: 0.2181 loss: 2.2009 08/28 15:39:52 - mmengine - INFO - Epoch(train) [106][30/63] lr: 6.4458e-03 eta: 18:34:17 time: 0.9966 data_time: 0.1274 memory: 14974 loss_prob: 1.2519 loss_thr: 0.6295 loss_db: 0.2066 loss: 2.0880 08/28 15:39:56 - mmengine - INFO - Epoch(train) [106][35/63] lr: 6.4458e-03 eta: 18:34:17 time: 0.8034 data_time: 0.0592 memory: 14974 loss_prob: 1.2086 loss_thr: 0.6039 loss_db: 0.1994 loss: 2.0119 08/28 15:40:01 - mmengine - INFO - Epoch(train) [106][40/63] lr: 6.4458e-03 eta: 18:34:01 time: 0.9132 data_time: 0.1149 memory: 14974 loss_prob: 1.2308 loss_thr: 0.6089 loss_db: 0.1978 loss: 2.0375 08/28 15:40:06 - mmengine - INFO - Epoch(train) [106][45/63] lr: 6.4458e-03 eta: 18:34:01 time: 1.0525 data_time: 0.1138 memory: 14974 loss_prob: 1.2105 loss_thr: 0.6107 loss_db: 0.1947 loss: 2.0159 08/28 15:40:10 - mmengine - INFO - Epoch(train) [106][50/63] lr: 6.4458e-03 eta: 18:33:52 time: 0.9709 data_time: 0.1000 memory: 14974 loss_prob: 1.2112 loss_thr: 0.6157 loss_db: 0.1948 loss: 2.0217 08/28 15:40:14 - mmengine - INFO - Epoch(train) [106][55/63] lr: 6.4458e-03 eta: 18:33:52 time: 0.8218 data_time: 0.0877 memory: 14974 loss_prob: 1.1371 loss_thr: 0.5900 loss_db: 0.1806 loss: 1.9076 08/28 15:40:20 - mmengine - INFO - Epoch(train) [106][60/63] lr: 6.4458e-03 eta: 18:33:39 time: 0.9433 data_time: 0.0407 memory: 14974 loss_prob: 1.1093 loss_thr: 0.5813 loss_db: 0.1822 loss: 1.8729 08/28 15:40:23 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:40:28 - mmengine - INFO - Epoch(train) [107][5/63] lr: 6.4405e-03 eta: 18:33:39 time: 0.9410 data_time: 0.2356 memory: 14974 loss_prob: 1.1696 loss_thr: 0.6133 loss_db: 0.1960 loss: 1.9788 08/28 15:40:32 - mmengine - INFO - Epoch(train) [107][10/63] lr: 6.4405e-03 eta: 18:32:50 time: 0.9007 data_time: 0.1789 memory: 14974 loss_prob: 1.1710 loss_thr: 0.6133 loss_db: 0.1889 loss: 1.9732 08/28 15:40:36 - mmengine - INFO - Epoch(train) [107][15/63] lr: 6.4405e-03 eta: 18:32:50 time: 0.7982 data_time: 0.0778 memory: 14974 loss_prob: 1.0889 loss_thr: 0.5776 loss_db: 0.1744 loss: 1.8408 08/28 15:40:41 - mmengine - INFO - Epoch(train) [107][20/63] lr: 6.4405e-03 eta: 18:32:33 time: 0.8985 data_time: 0.0795 memory: 14974 loss_prob: 1.0455 loss_thr: 0.5803 loss_db: 0.1725 loss: 1.7983 08/28 15:40:45 - mmengine - INFO - Epoch(train) [107][25/63] lr: 6.4405e-03 eta: 18:32:33 time: 0.8792 data_time: 0.0520 memory: 14974 loss_prob: 1.2043 loss_thr: 0.6403 loss_db: 0.2000 loss: 2.0446 08/28 15:40:49 - mmengine - INFO - Epoch(train) [107][30/63] lr: 6.4405e-03 eta: 18:32:12 time: 0.8604 data_time: 0.1154 memory: 14974 loss_prob: 1.2885 loss_thr: 0.6438 loss_db: 0.2126 loss: 2.1449 08/28 15:40:53 - mmengine - INFO - Epoch(train) [107][35/63] lr: 6.4405e-03 eta: 18:32:12 time: 0.8667 data_time: 0.1262 memory: 14974 loss_prob: 1.2064 loss_thr: 0.6251 loss_db: 0.1949 loss: 2.0265 08/28 15:40:57 - mmengine - INFO - Epoch(train) [107][40/63] lr: 6.4405e-03 eta: 18:31:45 time: 0.8048 data_time: 0.0582 memory: 14974 loss_prob: 1.1819 loss_thr: 0.6149 loss_db: 0.1888 loss: 1.9856 08/28 15:41:03 - mmengine - INFO - Epoch(train) [107][45/63] lr: 6.4405e-03 eta: 18:31:45 time: 0.9961 data_time: 0.1251 memory: 14974 loss_prob: 1.1422 loss_thr: 0.6008 loss_db: 0.1887 loss: 1.9316 08/28 15:41:08 - mmengine - INFO - Epoch(train) [107][50/63] lr: 6.4405e-03 eta: 18:31:45 time: 1.0556 data_time: 0.1428 memory: 14974 loss_prob: 1.1443 loss_thr: 0.6131 loss_db: 0.1885 loss: 1.9459 08/28 15:41:13 - mmengine - INFO - Epoch(train) [107][55/63] lr: 6.4405e-03 eta: 18:31:45 time: 0.9365 data_time: 0.1327 memory: 14974 loss_prob: 1.3138 loss_thr: 0.6286 loss_db: 0.2110 loss: 2.1534 08/28 15:41:17 - mmengine - INFO - Epoch(train) [107][60/63] lr: 6.4405e-03 eta: 18:31:29 time: 0.9101 data_time: 0.1269 memory: 14974 loss_prob: 1.2807 loss_thr: 0.6317 loss_db: 0.2046 loss: 2.1170 08/28 15:41:20 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:41:26 - mmengine - INFO - Epoch(train) [108][5/63] lr: 6.4352e-03 eta: 18:31:29 time: 1.0644 data_time: 0.2203 memory: 14974 loss_prob: 1.1035 loss_thr: 0.5863 loss_db: 0.1825 loss: 1.8723 08/28 15:41:30 - mmengine - INFO - Epoch(train) [108][10/63] lr: 6.4352e-03 eta: 18:30:54 time: 1.0405 data_time: 0.2519 memory: 14974 loss_prob: 1.0358 loss_thr: 0.5542 loss_db: 0.1691 loss: 1.7590 08/28 15:41:34 - mmengine - INFO - Epoch(train) [108][15/63] lr: 6.4352e-03 eta: 18:30:54 time: 0.8640 data_time: 0.0860 memory: 14974 loss_prob: 1.2389 loss_thr: 0.6035 loss_db: 0.1946 loss: 2.0370 08/28 15:41:38 - mmengine - INFO - Epoch(train) [108][20/63] lr: 6.4352e-03 eta: 18:30:31 time: 0.8358 data_time: 0.0538 memory: 14974 loss_prob: 1.2475 loss_thr: 0.6249 loss_db: 0.1972 loss: 2.0696 08/28 15:41:43 - mmengine - INFO - Epoch(train) [108][25/63] lr: 6.4352e-03 eta: 18:30:31 time: 0.8308 data_time: 0.1025 memory: 14974 loss_prob: 1.0717 loss_thr: 0.6033 loss_db: 0.1727 loss: 1.8477 08/28 15:41:47 - mmengine - INFO - Epoch(train) [108][30/63] lr: 6.4352e-03 eta: 18:30:14 time: 0.9003 data_time: 0.1074 memory: 14974 loss_prob: 1.1448 loss_thr: 0.6098 loss_db: 0.1857 loss: 1.9403 08/28 15:41:52 - mmengine - INFO - Epoch(train) [108][35/63] lr: 6.4352e-03 eta: 18:30:14 time: 0.8892 data_time: 0.0623 memory: 14974 loss_prob: 1.1699 loss_thr: 0.5890 loss_db: 0.1891 loss: 1.9480 08/28 15:41:56 - mmengine - INFO - Epoch(train) [108][40/63] lr: 6.4352e-03 eta: 18:29:51 time: 0.8369 data_time: 0.0678 memory: 14974 loss_prob: 1.1556 loss_thr: 0.5808 loss_db: 0.1890 loss: 1.9255 08/28 15:42:00 - mmengine - INFO - Epoch(train) [108][45/63] lr: 6.4352e-03 eta: 18:29:51 time: 0.8068 data_time: 0.0654 memory: 14974 loss_prob: 1.2079 loss_thr: 0.5990 loss_db: 0.1997 loss: 2.0066 08/28 15:42:04 - mmengine - INFO - Epoch(train) [108][50/63] lr: 6.4352e-03 eta: 18:29:24 time: 0.7893 data_time: 0.0465 memory: 14974 loss_prob: 1.1768 loss_thr: 0.5850 loss_db: 0.1906 loss: 1.9524 08/28 15:42:08 - mmengine - INFO - Epoch(train) [108][55/63] lr: 6.4352e-03 eta: 18:29:24 time: 0.8679 data_time: 0.1124 memory: 14974 loss_prob: 1.0743 loss_thr: 0.5792 loss_db: 0.1735 loss: 1.8270 08/28 15:42:13 - mmengine - INFO - Epoch(train) [108][60/63] lr: 6.4352e-03 eta: 18:29:06 time: 0.8922 data_time: 0.1325 memory: 14974 loss_prob: 1.0781 loss_thr: 0.5935 loss_db: 0.1760 loss: 1.8476 08/28 15:42:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:42:21 - mmengine - INFO - Epoch(train) [109][5/63] lr: 6.4299e-03 eta: 18:29:06 time: 0.9628 data_time: 0.1882 memory: 14974 loss_prob: 1.1561 loss_thr: 0.6042 loss_db: 0.1911 loss: 1.9514 08/28 15:42:27 - mmengine - INFO - Epoch(train) [109][10/63] lr: 6.4299e-03 eta: 18:28:50 time: 1.2201 data_time: 0.2577 memory: 14974 loss_prob: 1.1452 loss_thr: 0.6012 loss_db: 0.1862 loss: 1.9327 08/28 15:42:31 - mmengine - INFO - Epoch(train) [109][15/63] lr: 6.4299e-03 eta: 18:28:50 time: 1.0273 data_time: 0.1288 memory: 14974 loss_prob: 1.0760 loss_thr: 0.5987 loss_db: 0.1763 loss: 1.8510 08/28 15:42:36 - mmengine - INFO - Epoch(train) [109][20/63] lr: 6.4299e-03 eta: 18:28:30 time: 0.8664 data_time: 0.1231 memory: 14974 loss_prob: 1.0826 loss_thr: 0.5865 loss_db: 0.1806 loss: 1.8497 08/28 15:42:40 - mmengine - INFO - Epoch(train) [109][25/63] lr: 6.4299e-03 eta: 18:28:30 time: 0.8801 data_time: 0.1248 memory: 14974 loss_prob: 1.0863 loss_thr: 0.5654 loss_db: 0.1813 loss: 1.8329 08/28 15:42:44 - mmengine - INFO - Epoch(train) [109][30/63] lr: 6.4299e-03 eta: 18:28:13 time: 0.8875 data_time: 0.0560 memory: 14974 loss_prob: 1.2151 loss_thr: 0.5745 loss_db: 0.1935 loss: 1.9831 08/28 15:42:49 - mmengine - INFO - Epoch(train) [109][35/63] lr: 6.4299e-03 eta: 18:28:13 time: 0.9168 data_time: 0.0908 memory: 14974 loss_prob: 1.3120 loss_thr: 0.6172 loss_db: 0.2079 loss: 2.1371 08/28 15:42:53 - mmengine - INFO - Epoch(train) [109][40/63] lr: 6.4299e-03 eta: 18:27:55 time: 0.8921 data_time: 0.0919 memory: 14974 loss_prob: 1.1996 loss_thr: 0.6163 loss_db: 0.1953 loss: 2.0113 08/28 15:42:57 - mmengine - INFO - Epoch(train) [109][45/63] lr: 6.4299e-03 eta: 18:27:55 time: 0.8470 data_time: 0.0459 memory: 14974 loss_prob: 1.1108 loss_thr: 0.5975 loss_db: 0.1760 loss: 1.8843 08/28 15:43:02 - mmengine - INFO - Epoch(train) [109][50/63] lr: 6.4299e-03 eta: 18:27:32 time: 0.8285 data_time: 0.1014 memory: 14974 loss_prob: 1.1803 loss_thr: 0.6009 loss_db: 0.1897 loss: 1.9709 08/28 15:43:06 - mmengine - INFO - Epoch(train) [109][55/63] lr: 6.4299e-03 eta: 18:27:32 time: 0.8496 data_time: 0.1168 memory: 14974 loss_prob: 1.1252 loss_thr: 0.5791 loss_db: 0.1848 loss: 1.8891 08/28 15:43:10 - mmengine - INFO - Epoch(train) [109][60/63] lr: 6.4299e-03 eta: 18:27:10 time: 0.8406 data_time: 0.0712 memory: 14974 loss_prob: 1.0717 loss_thr: 0.5858 loss_db: 0.1711 loss: 1.8285 08/28 15:43:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:43:18 - mmengine - INFO - Epoch(train) [110][5/63] lr: 6.4246e-03 eta: 18:27:10 time: 0.8863 data_time: 0.1962 memory: 14974 loss_prob: 1.2484 loss_thr: 0.5848 loss_db: 0.2043 loss: 2.0375 08/28 15:43:22 - mmengine - INFO - Epoch(train) [110][10/63] lr: 6.4246e-03 eta: 18:26:24 time: 0.9253 data_time: 0.1862 memory: 14974 loss_prob: 1.2022 loss_thr: 0.5747 loss_db: 0.1994 loss: 1.9763 08/28 15:43:27 - mmengine - INFO - Epoch(train) [110][15/63] lr: 6.4246e-03 eta: 18:26:24 time: 0.9372 data_time: 0.1160 memory: 14974 loss_prob: 1.0391 loss_thr: 0.5664 loss_db: 0.1697 loss: 1.7752 08/28 15:43:31 - mmengine - INFO - Epoch(train) [110][20/63] lr: 6.4246e-03 eta: 18:26:12 time: 0.9465 data_time: 0.1266 memory: 14974 loss_prob: 1.2169 loss_thr: 0.6150 loss_db: 0.1955 loss: 2.0275 08/28 15:43:36 - mmengine - INFO - Epoch(train) [110][25/63] lr: 6.4246e-03 eta: 18:26:12 time: 0.8578 data_time: 0.0759 memory: 14974 loss_prob: 1.3138 loss_thr: 0.6268 loss_db: 0.2064 loss: 2.1470 08/28 15:43:42 - mmengine - INFO - Epoch(train) [110][30/63] lr: 6.4246e-03 eta: 18:26:10 time: 1.0363 data_time: 0.1226 memory: 14974 loss_prob: 1.0877 loss_thr: 0.5723 loss_db: 0.1723 loss: 1.8324 08/28 15:43:46 - mmengine - INFO - Epoch(train) [110][35/63] lr: 6.4246e-03 eta: 18:26:10 time: 1.0097 data_time: 0.1257 memory: 14974 loss_prob: 1.1184 loss_thr: 0.5853 loss_db: 0.1802 loss: 1.8839 08/28 15:43:50 - mmengine - INFO - Epoch(train) [110][40/63] lr: 6.4246e-03 eta: 18:25:52 time: 0.8820 data_time: 0.1093 memory: 14974 loss_prob: 1.1966 loss_thr: 0.6006 loss_db: 0.1931 loss: 1.9903 08/28 15:43:55 - mmengine - INFO - Epoch(train) [110][45/63] lr: 6.4246e-03 eta: 18:25:52 time: 0.9463 data_time: 0.1122 memory: 14974 loss_prob: 1.1609 loss_thr: 0.6096 loss_db: 0.1872 loss: 1.9578 08/28 15:44:00 - mmengine - INFO - Epoch(train) [110][50/63] lr: 6.4246e-03 eta: 18:25:39 time: 0.9322 data_time: 0.0692 memory: 14974 loss_prob: 1.1406 loss_thr: 0.5987 loss_db: 0.1828 loss: 1.9221 08/28 15:44:04 - mmengine - INFO - Epoch(train) [110][55/63] lr: 6.4246e-03 eta: 18:25:39 time: 0.9378 data_time: 0.0920 memory: 14974 loss_prob: 1.1393 loss_thr: 0.5780 loss_db: 0.1862 loss: 1.9035 08/28 15:44:09 - mmengine - INFO - Epoch(train) [110][60/63] lr: 6.4246e-03 eta: 18:25:24 time: 0.9157 data_time: 0.0938 memory: 14974 loss_prob: 1.1206 loss_thr: 0.6023 loss_db: 0.1820 loss: 1.9050 08/28 15:44:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:44:16 - mmengine - INFO - Epoch(train) [111][5/63] lr: 6.4193e-03 eta: 18:25:24 time: 0.8926 data_time: 0.1922 memory: 14974 loss_prob: 1.1065 loss_thr: 0.5649 loss_db: 0.1843 loss: 1.8557 08/28 15:44:21 - mmengine - INFO - Epoch(train) [111][10/63] lr: 6.4193e-03 eta: 18:24:45 time: 0.9900 data_time: 0.2415 memory: 14974 loss_prob: 1.0071 loss_thr: 0.5347 loss_db: 0.1660 loss: 1.7078 08/28 15:44:25 - mmengine - INFO - Epoch(train) [111][15/63] lr: 6.4193e-03 eta: 18:24:45 time: 0.8508 data_time: 0.1005 memory: 14974 loss_prob: 1.1251 loss_thr: 0.5870 loss_db: 0.1827 loss: 1.8948 08/28 15:44:29 - mmengine - INFO - Epoch(train) [111][20/63] lr: 6.4193e-03 eta: 18:24:20 time: 0.8136 data_time: 0.0462 memory: 14974 loss_prob: 1.1124 loss_thr: 0.6062 loss_db: 0.1785 loss: 1.8971 08/28 15:44:33 - mmengine - INFO - Epoch(train) [111][25/63] lr: 6.4193e-03 eta: 18:24:20 time: 0.8763 data_time: 0.1170 memory: 14974 loss_prob: 1.2095 loss_thr: 0.5895 loss_db: 0.1903 loss: 1.9893 08/28 15:44:37 - mmengine - INFO - Epoch(train) [111][30/63] lr: 6.4193e-03 eta: 18:24:00 time: 0.8516 data_time: 0.1193 memory: 14974 loss_prob: 1.2307 loss_thr: 0.6071 loss_db: 0.1956 loss: 2.0333 08/28 15:44:42 - mmengine - INFO - Epoch(train) [111][35/63] lr: 6.4193e-03 eta: 18:24:00 time: 0.8702 data_time: 0.1180 memory: 14974 loss_prob: 1.0463 loss_thr: 0.5929 loss_db: 0.1680 loss: 1.8071 08/28 15:44:47 - mmengine - INFO - Epoch(train) [111][40/63] lr: 6.4193e-03 eta: 18:23:48 time: 0.9399 data_time: 0.1775 memory: 14974 loss_prob: 0.9816 loss_thr: 0.5577 loss_db: 0.1559 loss: 1.6953 08/28 15:44:52 - mmengine - INFO - Epoch(train) [111][45/63] lr: 6.4193e-03 eta: 18:23:48 time: 0.9537 data_time: 0.1209 memory: 14974 loss_prob: 1.0218 loss_thr: 0.5623 loss_db: 0.1642 loss: 1.7482 08/28 15:44:56 - mmengine - INFO - Epoch(train) [111][50/63] lr: 6.4193e-03 eta: 18:23:37 time: 0.9601 data_time: 0.0819 memory: 14974 loss_prob: 1.1253 loss_thr: 0.5930 loss_db: 0.1819 loss: 1.9003 08/28 15:45:01 - mmengine - INFO - Epoch(train) [111][55/63] lr: 6.4193e-03 eta: 18:23:37 time: 0.9399 data_time: 0.1409 memory: 14974 loss_prob: 1.1839 loss_thr: 0.6008 loss_db: 0.1961 loss: 1.9807 08/28 15:45:05 - mmengine - INFO - Epoch(train) [111][60/63] lr: 6.4193e-03 eta: 18:23:19 time: 0.8715 data_time: 0.1338 memory: 14974 loss_prob: 1.1828 loss_thr: 0.5965 loss_db: 0.1916 loss: 1.9709 08/28 15:45:08 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:45:15 - mmengine - INFO - Epoch(train) [112][5/63] lr: 6.4140e-03 eta: 18:23:19 time: 1.1585 data_time: 0.2281 memory: 14974 loss_prob: 1.1180 loss_thr: 0.5888 loss_db: 0.1830 loss: 1.8897 08/28 15:45:17 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:45:20 - mmengine - INFO - Epoch(train) [112][10/63] lr: 6.4140e-03 eta: 18:22:55 time: 1.1386 data_time: 0.2855 memory: 14974 loss_prob: 1.0778 loss_thr: 0.5624 loss_db: 0.1804 loss: 1.8207 08/28 15:45:24 - mmengine - INFO - Epoch(train) [112][15/63] lr: 6.4140e-03 eta: 18:22:55 time: 0.8778 data_time: 0.1027 memory: 14974 loss_prob: 1.1098 loss_thr: 0.5716 loss_db: 0.1854 loss: 1.8667 08/28 15:45:28 - mmengine - INFO - Epoch(train) [112][20/63] lr: 6.4140e-03 eta: 18:22:36 time: 0.8680 data_time: 0.0536 memory: 14974 loss_prob: 1.2960 loss_thr: 0.5971 loss_db: 0.2134 loss: 2.1064 08/28 15:45:33 - mmengine - INFO - Epoch(train) [112][25/63] lr: 6.4140e-03 eta: 18:22:36 time: 0.9021 data_time: 0.1328 memory: 14974 loss_prob: 1.3535 loss_thr: 0.6014 loss_db: 0.2223 loss: 2.1772 08/28 15:45:37 - mmengine - INFO - Epoch(train) [112][30/63] lr: 6.4140e-03 eta: 18:22:16 time: 0.8670 data_time: 0.1188 memory: 14974 loss_prob: 1.3170 loss_thr: 0.6151 loss_db: 0.2086 loss: 2.1407 08/28 15:45:41 - mmengine - INFO - Epoch(train) [112][35/63] lr: 6.4140e-03 eta: 18:22:16 time: 0.8085 data_time: 0.0489 memory: 14974 loss_prob: 1.2246 loss_thr: 0.6032 loss_db: 0.1914 loss: 2.0191 08/28 15:45:45 - mmengine - INFO - Epoch(train) [112][40/63] lr: 6.4140e-03 eta: 18:21:52 time: 0.8087 data_time: 0.0677 memory: 14974 loss_prob: 1.0572 loss_thr: 0.5626 loss_db: 0.1669 loss: 1.7867 08/28 15:45:49 - mmengine - INFO - Epoch(train) [112][45/63] lr: 6.4140e-03 eta: 18:21:52 time: 0.7893 data_time: 0.0626 memory: 14974 loss_prob: 1.1654 loss_thr: 0.6192 loss_db: 0.1875 loss: 1.9720 08/28 15:45:53 - mmengine - INFO - Epoch(train) [112][50/63] lr: 6.4140e-03 eta: 18:21:24 time: 0.7781 data_time: 0.0462 memory: 14974 loss_prob: 1.3792 loss_thr: 0.6692 loss_db: 0.2279 loss: 2.2763 08/28 15:45:57 - mmengine - INFO - Epoch(train) [112][55/63] lr: 6.4140e-03 eta: 18:21:24 time: 0.8199 data_time: 0.0600 memory: 14974 loss_prob: 1.2676 loss_thr: 0.6072 loss_db: 0.2049 loss: 2.0797 08/28 15:46:01 - mmengine - INFO - Epoch(train) [112][60/63] lr: 6.4140e-03 eta: 18:21:03 time: 0.8457 data_time: 0.0777 memory: 14974 loss_prob: 1.1090 loss_thr: 0.5918 loss_db: 0.1780 loss: 1.8788 08/28 15:46:04 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:46:09 - mmengine - INFO - Epoch(train) [113][5/63] lr: 6.4087e-03 eta: 18:21:03 time: 0.9096 data_time: 0.2012 memory: 14974 loss_prob: 1.3228 loss_thr: 0.6195 loss_db: 0.2140 loss: 2.1563 08/28 15:46:14 - mmengine - INFO - Epoch(train) [113][10/63] lr: 6.4087e-03 eta: 18:20:27 time: 1.0163 data_time: 0.2800 memory: 14974 loss_prob: 1.3253 loss_thr: 0.6078 loss_db: 0.2135 loss: 2.1467 08/28 15:46:19 - mmengine - INFO - Epoch(train) [113][15/63] lr: 6.4087e-03 eta: 18:20:27 time: 1.0079 data_time: 0.1274 memory: 14974 loss_prob: 1.3148 loss_thr: 0.5923 loss_db: 0.2198 loss: 2.1269 08/28 15:46:24 - mmengine - INFO - Epoch(train) [113][20/63] lr: 6.4087e-03 eta: 18:20:24 time: 1.0266 data_time: 0.1269 memory: 14974 loss_prob: 1.2259 loss_thr: 0.5821 loss_db: 0.1990 loss: 2.0069 08/28 15:46:28 - mmengine - INFO - Epoch(train) [113][25/63] lr: 6.4087e-03 eta: 18:20:24 time: 0.9107 data_time: 0.1436 memory: 14974 loss_prob: 1.2685 loss_thr: 0.5860 loss_db: 0.1959 loss: 2.0504 08/28 15:46:32 - mmengine - INFO - Epoch(train) [113][30/63] lr: 6.4087e-03 eta: 18:20:02 time: 0.8372 data_time: 0.0743 memory: 14974 loss_prob: 1.2408 loss_thr: 0.5845 loss_db: 0.1935 loss: 2.0188 08/28 15:46:38 - mmengine - INFO - Epoch(train) [113][35/63] lr: 6.4087e-03 eta: 18:20:02 time: 0.9837 data_time: 0.1053 memory: 14974 loss_prob: 1.2877 loss_thr: 0.6098 loss_db: 0.2114 loss: 2.1090 08/28 15:46:42 - mmengine - INFO - Epoch(train) [113][40/63] lr: 6.4087e-03 eta: 18:19:53 time: 0.9680 data_time: 0.0978 memory: 14974 loss_prob: 1.3265 loss_thr: 0.6361 loss_db: 0.2135 loss: 2.1761 08/28 15:46:46 - mmengine - INFO - Epoch(train) [113][45/63] lr: 6.4087e-03 eta: 18:19:53 time: 0.7799 data_time: 0.0499 memory: 14974 loss_prob: 1.1686 loss_thr: 0.5785 loss_db: 0.1844 loss: 1.9314 08/28 15:46:51 - mmengine - INFO - Epoch(train) [113][50/63] lr: 6.4087e-03 eta: 18:19:34 time: 0.8667 data_time: 0.0770 memory: 14974 loss_prob: 1.1946 loss_thr: 0.5831 loss_db: 0.1947 loss: 1.9724 08/28 15:46:55 - mmengine - INFO - Epoch(train) [113][55/63] lr: 6.4087e-03 eta: 18:19:34 time: 0.8686 data_time: 0.0746 memory: 14974 loss_prob: 1.2069 loss_thr: 0.6073 loss_db: 0.1937 loss: 2.0079 08/28 15:46:59 - mmengine - INFO - Epoch(train) [113][60/63] lr: 6.4087e-03 eta: 18:19:10 time: 0.8138 data_time: 0.0547 memory: 14974 loss_prob: 1.2006 loss_thr: 0.6129 loss_db: 0.1940 loss: 2.0075 08/28 15:47:01 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:47:07 - mmengine - INFO - Epoch(train) [114][5/63] lr: 6.4034e-03 eta: 18:19:10 time: 0.9330 data_time: 0.2184 memory: 14974 loss_prob: 1.2579 loss_thr: 0.6227 loss_db: 0.1979 loss: 2.0785 08/28 15:47:11 - mmengine - INFO - Epoch(train) [114][10/63] lr: 6.4034e-03 eta: 18:18:26 time: 0.9276 data_time: 0.1807 memory: 14974 loss_prob: 1.1856 loss_thr: 0.6063 loss_db: 0.1886 loss: 1.9805 08/28 15:47:15 - mmengine - INFO - Epoch(train) [114][15/63] lr: 6.4034e-03 eta: 18:18:26 time: 0.8133 data_time: 0.0686 memory: 14974 loss_prob: 1.1067 loss_thr: 0.6094 loss_db: 0.1842 loss: 1.9003 08/28 15:47:20 - mmengine - INFO - Epoch(train) [114][20/63] lr: 6.4034e-03 eta: 18:18:08 time: 0.8739 data_time: 0.0723 memory: 14974 loss_prob: 1.1075 loss_thr: 0.5949 loss_db: 0.1847 loss: 1.8871 08/28 15:47:24 - mmengine - INFO - Epoch(train) [114][25/63] lr: 6.4034e-03 eta: 18:18:08 time: 0.8670 data_time: 0.0695 memory: 14974 loss_prob: 1.1783 loss_thr: 0.6131 loss_db: 0.1889 loss: 1.9804 08/28 15:47:29 - mmengine - INFO - Epoch(train) [114][30/63] lr: 6.4034e-03 eta: 18:17:55 time: 0.9268 data_time: 0.1199 memory: 14974 loss_prob: 1.1876 loss_thr: 0.6383 loss_db: 0.1892 loss: 2.0151 08/28 15:47:33 - mmengine - INFO - Epoch(train) [114][35/63] lr: 6.4034e-03 eta: 18:17:55 time: 0.9456 data_time: 0.1262 memory: 14974 loss_prob: 1.1284 loss_thr: 0.5994 loss_db: 0.1811 loss: 1.9089 08/28 15:47:38 - mmengine - INFO - Epoch(train) [114][40/63] lr: 6.4034e-03 eta: 18:17:42 time: 0.9332 data_time: 0.0762 memory: 14974 loss_prob: 1.0594 loss_thr: 0.5492 loss_db: 0.1727 loss: 1.7813 08/28 15:47:43 - mmengine - INFO - Epoch(train) [114][45/63] lr: 6.4034e-03 eta: 18:17:42 time: 1.0222 data_time: 0.1272 memory: 14974 loss_prob: 1.1139 loss_thr: 0.5640 loss_db: 0.1903 loss: 1.8682 08/28 15:47:48 - mmengine - INFO - Epoch(train) [114][50/63] lr: 6.4034e-03 eta: 18:17:30 time: 0.9322 data_time: 0.1310 memory: 14974 loss_prob: 1.3735 loss_thr: 0.6185 loss_db: 0.2292 loss: 2.2212 08/28 15:47:52 - mmengine - INFO - Epoch(train) [114][55/63] lr: 6.4034e-03 eta: 18:17:30 time: 0.8428 data_time: 0.0753 memory: 14974 loss_prob: 1.3537 loss_thr: 0.6371 loss_db: 0.2156 loss: 2.2064 08/28 15:47:58 - mmengine - INFO - Epoch(train) [114][60/63] lr: 6.4034e-03 eta: 18:17:24 time: 1.0003 data_time: 0.1276 memory: 14974 loss_prob: 1.2350 loss_thr: 0.6416 loss_db: 0.1922 loss: 2.0688 08/28 15:48:00 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:48:06 - mmengine - INFO - Epoch(train) [115][5/63] lr: 6.3981e-03 eta: 18:17:24 time: 1.0013 data_time: 0.1841 memory: 14974 loss_prob: 1.0661 loss_thr: 0.5653 loss_db: 0.1693 loss: 1.8007 08/28 15:48:10 - mmengine - INFO - Epoch(train) [115][10/63] lr: 6.3981e-03 eta: 18:16:44 time: 0.9639 data_time: 0.1988 memory: 14974 loss_prob: 1.1242 loss_thr: 0.5749 loss_db: 0.1785 loss: 1.8776 08/28 15:48:14 - mmengine - INFO - Epoch(train) [115][15/63] lr: 6.3981e-03 eta: 18:16:44 time: 0.8346 data_time: 0.0778 memory: 14974 loss_prob: 1.2603 loss_thr: 0.5998 loss_db: 0.1993 loss: 2.0595 08/28 15:48:19 - mmengine - INFO - Epoch(train) [115][20/63] lr: 6.3981e-03 eta: 18:16:28 time: 0.8917 data_time: 0.0692 memory: 14974 loss_prob: 1.1785 loss_thr: 0.5879 loss_db: 0.1873 loss: 1.9537 08/28 15:48:23 - mmengine - INFO - Epoch(train) [115][25/63] lr: 6.3981e-03 eta: 18:16:28 time: 0.9261 data_time: 0.0985 memory: 14974 loss_prob: 1.1143 loss_thr: 0.5778 loss_db: 0.1821 loss: 1.8742 08/28 15:48:27 - mmengine - INFO - Epoch(train) [115][30/63] lr: 6.3981e-03 eta: 18:16:06 time: 0.8280 data_time: 0.0928 memory: 14974 loss_prob: 1.0899 loss_thr: 0.5541 loss_db: 0.1779 loss: 1.8219 08/28 15:48:31 - mmengine - INFO - Epoch(train) [115][35/63] lr: 6.3981e-03 eta: 18:16:06 time: 0.7822 data_time: 0.0473 memory: 14974 loss_prob: 1.0722 loss_thr: 0.5517 loss_db: 0.1686 loss: 1.7924 08/28 15:48:35 - mmengine - INFO - Epoch(train) [115][40/63] lr: 6.3981e-03 eta: 18:15:41 time: 0.8079 data_time: 0.0607 memory: 14974 loss_prob: 1.0886 loss_thr: 0.5728 loss_db: 0.1729 loss: 1.8343 08/28 15:48:39 - mmengine - INFO - Epoch(train) [115][45/63] lr: 6.3981e-03 eta: 18:15:41 time: 0.8340 data_time: 0.0674 memory: 14974 loss_prob: 0.9412 loss_thr: 0.5480 loss_db: 0.1529 loss: 1.6421 08/28 15:48:43 - mmengine - INFO - Epoch(train) [115][50/63] lr: 6.3981e-03 eta: 18:15:19 time: 0.8228 data_time: 0.0683 memory: 14974 loss_prob: 0.9917 loss_thr: 0.5741 loss_db: 0.1632 loss: 1.7290 08/28 15:48:48 - mmengine - INFO - Epoch(train) [115][55/63] lr: 6.3981e-03 eta: 18:15:19 time: 0.8686 data_time: 0.1099 memory: 14974 loss_prob: 1.0976 loss_thr: 0.6025 loss_db: 0.1806 loss: 1.8807 08/28 15:48:52 - mmengine - INFO - Epoch(train) [115][60/63] lr: 6.3981e-03 eta: 18:15:01 time: 0.8763 data_time: 0.1089 memory: 14974 loss_prob: 1.0373 loss_thr: 0.5795 loss_db: 0.1662 loss: 1.7830 08/28 15:48:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:49:01 - mmengine - INFO - Epoch(train) [116][5/63] lr: 6.3927e-03 eta: 18:15:01 time: 0.9947 data_time: 0.2090 memory: 14974 loss_prob: 1.1520 loss_thr: 0.5794 loss_db: 0.1838 loss: 1.9153 08/28 15:49:05 - mmengine - INFO - Epoch(train) [116][10/63] lr: 6.3927e-03 eta: 18:14:32 time: 1.0772 data_time: 0.2595 memory: 14974 loss_prob: 1.1091 loss_thr: 0.5836 loss_db: 0.1766 loss: 1.8693 08/28 15:49:10 - mmengine - INFO - Epoch(train) [116][15/63] lr: 6.3927e-03 eta: 18:14:32 time: 0.9009 data_time: 0.1232 memory: 14974 loss_prob: 1.2179 loss_thr: 0.6096 loss_db: 0.1955 loss: 2.0230 08/28 15:49:14 - mmengine - INFO - Epoch(train) [116][20/63] lr: 6.3927e-03 eta: 18:14:14 time: 0.8690 data_time: 0.0701 memory: 14974 loss_prob: 1.1526 loss_thr: 0.5852 loss_db: 0.1815 loss: 1.9193 08/28 15:49:20 - mmengine - INFO - Epoch(train) [116][25/63] lr: 6.3927e-03 eta: 18:14:14 time: 1.0059 data_time: 0.1120 memory: 14974 loss_prob: 1.0487 loss_thr: 0.5693 loss_db: 0.1713 loss: 1.7894 08/28 15:49:24 - mmengine - INFO - Epoch(train) [116][30/63] lr: 6.3927e-03 eta: 18:14:06 time: 0.9755 data_time: 0.0994 memory: 14974 loss_prob: 1.1718 loss_thr: 0.6213 loss_db: 0.1921 loss: 1.9853 08/28 15:49:28 - mmengine - INFO - Epoch(train) [116][35/63] lr: 6.3927e-03 eta: 18:14:06 time: 0.8339 data_time: 0.0507 memory: 14974 loss_prob: 1.1124 loss_thr: 0.5875 loss_db: 0.1819 loss: 1.8819 08/28 15:49:33 - mmengine - INFO - Epoch(train) [116][40/63] lr: 6.3927e-03 eta: 18:13:56 time: 0.9537 data_time: 0.0870 memory: 14974 loss_prob: 1.0325 loss_thr: 0.5627 loss_db: 0.1716 loss: 1.7668 08/28 15:49:37 - mmengine - INFO - Epoch(train) [116][45/63] lr: 6.3927e-03 eta: 18:13:56 time: 0.9105 data_time: 0.1001 memory: 14974 loss_prob: 1.1148 loss_thr: 0.6184 loss_db: 0.1830 loss: 1.9162 08/28 15:49:41 - mmengine - INFO - Epoch(train) [116][50/63] lr: 6.3927e-03 eta: 18:13:31 time: 0.8063 data_time: 0.0680 memory: 14974 loss_prob: 1.1586 loss_thr: 0.6158 loss_db: 0.1924 loss: 1.9668 08/28 15:49:46 - mmengine - INFO - Epoch(train) [116][55/63] lr: 6.3927e-03 eta: 18:13:31 time: 0.8414 data_time: 0.1020 memory: 14974 loss_prob: 1.0977 loss_thr: 0.5701 loss_db: 0.1801 loss: 1.8479 08/28 15:49:50 - mmengine - INFO - Epoch(train) [116][60/63] lr: 6.3927e-03 eta: 18:13:12 time: 0.8525 data_time: 0.1104 memory: 14974 loss_prob: 1.0585 loss_thr: 0.5705 loss_db: 0.1715 loss: 1.8005 08/28 15:49:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:49:57 - mmengine - INFO - Epoch(train) [117][5/63] lr: 6.3874e-03 eta: 18:13:12 time: 0.9263 data_time: 0.1943 memory: 14974 loss_prob: 1.2370 loss_thr: 0.5970 loss_db: 0.1963 loss: 2.0302 08/28 15:50:02 - mmengine - INFO - Epoch(train) [117][10/63] lr: 6.3874e-03 eta: 18:12:37 time: 1.0136 data_time: 0.2762 memory: 14974 loss_prob: 1.2152 loss_thr: 0.6108 loss_db: 0.1968 loss: 2.0228 08/28 15:50:06 - mmengine - INFO - Epoch(train) [117][15/63] lr: 6.3874e-03 eta: 18:12:37 time: 0.8646 data_time: 0.1405 memory: 14974 loss_prob: 1.0614 loss_thr: 0.5780 loss_db: 0.1770 loss: 1.8164 08/28 15:50:11 - mmengine - INFO - Epoch(train) [117][20/63] lr: 6.3874e-03 eta: 18:12:18 time: 0.8527 data_time: 0.0668 memory: 14974 loss_prob: 1.1389 loss_thr: 0.5893 loss_db: 0.1857 loss: 1.9140 08/28 15:50:17 - mmengine - INFO - Epoch(train) [117][25/63] lr: 6.3874e-03 eta: 18:12:18 time: 1.0885 data_time: 0.1367 memory: 14974 loss_prob: 1.0871 loss_thr: 0.5833 loss_db: 0.1735 loss: 1.8440 08/28 15:50:21 - mmengine - INFO - Epoch(train) [117][30/63] lr: 6.3874e-03 eta: 18:12:16 time: 1.0409 data_time: 0.1345 memory: 14974 loss_prob: 1.0970 loss_thr: 0.5751 loss_db: 0.1743 loss: 1.8464 08/28 15:50:26 - mmengine - INFO - Epoch(train) [117][35/63] lr: 6.3874e-03 eta: 18:12:16 time: 0.8663 data_time: 0.1291 memory: 14974 loss_prob: 1.1389 loss_thr: 0.5752 loss_db: 0.1835 loss: 1.8975 08/28 15:50:30 - mmengine - INFO - Epoch(train) [117][40/63] lr: 6.3874e-03 eta: 18:12:01 time: 0.9075 data_time: 0.1296 memory: 14974 loss_prob: 1.0899 loss_thr: 0.5684 loss_db: 0.1769 loss: 1.8352 08/28 15:50:35 - mmengine - INFO - Epoch(train) [117][45/63] lr: 6.3874e-03 eta: 18:12:01 time: 0.9449 data_time: 0.0596 memory: 14974 loss_prob: 1.0743 loss_thr: 0.5948 loss_db: 0.1765 loss: 1.8455 08/28 15:50:40 - mmengine - INFO - Epoch(train) [117][50/63] lr: 6.3874e-03 eta: 18:11:52 time: 0.9608 data_time: 0.0889 memory: 14974 loss_prob: 1.0902 loss_thr: 0.5961 loss_db: 0.1779 loss: 1.8642 08/28 15:50:44 - mmengine - INFO - Epoch(train) [117][55/63] lr: 6.3874e-03 eta: 18:11:52 time: 0.9213 data_time: 0.0900 memory: 14974 loss_prob: 1.1091 loss_thr: 0.5880 loss_db: 0.1803 loss: 1.8773 08/28 15:50:48 - mmengine - INFO - Epoch(train) [117][60/63] lr: 6.3874e-03 eta: 18:11:31 time: 0.8378 data_time: 0.0507 memory: 14974 loss_prob: 1.1643 loss_thr: 0.6058 loss_db: 0.1906 loss: 1.9607 08/28 15:50:51 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:50:56 - mmengine - INFO - Epoch(train) [118][5/63] lr: 6.3821e-03 eta: 18:11:31 time: 0.9464 data_time: 0.2395 memory: 14974 loss_prob: 1.0428 loss_thr: 0.5645 loss_db: 0.1714 loss: 1.7786 08/28 15:51:00 - mmengine - INFO - Epoch(train) [118][10/63] lr: 6.3821e-03 eta: 18:10:50 time: 0.9470 data_time: 0.1981 memory: 14974 loss_prob: 1.1694 loss_thr: 0.5856 loss_db: 0.1871 loss: 1.9420 08/28 15:51:04 - mmengine - INFO - Epoch(train) [118][15/63] lr: 6.3821e-03 eta: 18:10:50 time: 0.8090 data_time: 0.0701 memory: 14974 loss_prob: 1.2379 loss_thr: 0.5975 loss_db: 0.2019 loss: 2.0372 08/28 15:51:09 - mmengine - INFO - Epoch(train) [118][20/63] lr: 6.3821e-03 eta: 18:10:30 time: 0.8414 data_time: 0.0598 memory: 14974 loss_prob: 1.2092 loss_thr: 0.5972 loss_db: 0.1997 loss: 2.0061 08/28 15:51:13 - mmengine - INFO - Epoch(train) [118][25/63] lr: 6.3821e-03 eta: 18:10:30 time: 0.8211 data_time: 0.0461 memory: 14974 loss_prob: 1.2850 loss_thr: 0.6112 loss_db: 0.2060 loss: 2.1023 08/28 15:51:17 - mmengine - INFO - Epoch(train) [118][30/63] lr: 6.3821e-03 eta: 18:10:07 time: 0.8176 data_time: 0.0778 memory: 14974 loss_prob: 1.1373 loss_thr: 0.5944 loss_db: 0.1808 loss: 1.9125 08/28 15:51:21 - mmengine - INFO - Epoch(train) [118][35/63] lr: 6.3821e-03 eta: 18:10:07 time: 0.8227 data_time: 0.0859 memory: 14974 loss_prob: 1.2683 loss_thr: 0.5885 loss_db: 0.2014 loss: 2.0582 08/28 15:51:25 - mmengine - INFO - Epoch(train) [118][40/63] lr: 6.3821e-03 eta: 18:09:43 time: 0.7934 data_time: 0.0634 memory: 14974 loss_prob: 1.3259 loss_thr: 0.5997 loss_db: 0.2105 loss: 2.1362 08/28 15:51:30 - mmengine - INFO - Epoch(train) [118][45/63] lr: 6.3821e-03 eta: 18:09:43 time: 0.9344 data_time: 0.1173 memory: 14974 loss_prob: 1.1214 loss_thr: 0.6170 loss_db: 0.1754 loss: 1.9138 08/28 15:51:34 - mmengine - INFO - Epoch(train) [118][50/63] lr: 6.3821e-03 eta: 18:09:34 time: 0.9742 data_time: 0.1337 memory: 14974 loss_prob: 1.1040 loss_thr: 0.6052 loss_db: 0.1762 loss: 1.8854 08/28 15:51:39 - mmengine - INFO - Epoch(train) [118][55/63] lr: 6.3821e-03 eta: 18:09:34 time: 0.9304 data_time: 0.0739 memory: 14974 loss_prob: 1.0468 loss_thr: 0.5731 loss_db: 0.1727 loss: 1.7927 08/28 15:51:44 - mmengine - INFO - Epoch(train) [118][60/63] lr: 6.3821e-03 eta: 18:09:24 time: 0.9538 data_time: 0.1230 memory: 14974 loss_prob: 1.0486 loss_thr: 0.5697 loss_db: 0.1719 loss: 1.7902 08/28 15:51:46 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:51:52 - mmengine - INFO - Epoch(train) [119][5/63] lr: 6.3768e-03 eta: 18:09:24 time: 0.9808 data_time: 0.1903 memory: 14974 loss_prob: 0.9931 loss_thr: 0.5530 loss_db: 0.1613 loss: 1.7074 08/28 15:51:57 - mmengine - INFO - Epoch(train) [119][10/63] lr: 6.3768e-03 eta: 18:08:57 time: 1.0867 data_time: 0.2196 memory: 14974 loss_prob: 1.0223 loss_thr: 0.5581 loss_db: 0.1602 loss: 1.7407 08/28 15:52:02 - mmengine - INFO - Epoch(train) [119][15/63] lr: 6.3768e-03 eta: 18:08:57 time: 0.9361 data_time: 0.0898 memory: 14974 loss_prob: 1.1519 loss_thr: 0.6085 loss_db: 0.1875 loss: 1.9479 08/28 15:52:06 - mmengine - INFO - Epoch(train) [119][20/63] lr: 6.3768e-03 eta: 18:08:41 time: 0.8866 data_time: 0.0553 memory: 14974 loss_prob: 1.1886 loss_thr: 0.6245 loss_db: 0.1954 loss: 2.0085 08/28 15:52:10 - mmengine - INFO - Epoch(train) [119][25/63] lr: 6.3768e-03 eta: 18:08:41 time: 0.8801 data_time: 0.1206 memory: 14974 loss_prob: 1.0960 loss_thr: 0.5814 loss_db: 0.1766 loss: 1.8540 08/28 15:52:14 - mmengine - INFO - Epoch(train) [119][30/63] lr: 6.3768e-03 eta: 18:08:23 time: 0.8655 data_time: 0.1225 memory: 14974 loss_prob: 0.9794 loss_thr: 0.5640 loss_db: 0.1581 loss: 1.7016 08/28 15:52:19 - mmengine - INFO - Epoch(train) [119][35/63] lr: 6.3768e-03 eta: 18:08:23 time: 0.8792 data_time: 0.0777 memory: 14974 loss_prob: 0.9650 loss_thr: 0.5693 loss_db: 0.1599 loss: 1.6942 08/28 15:52:23 - mmengine - INFO - Epoch(train) [119][40/63] lr: 6.3768e-03 eta: 18:08:06 time: 0.8827 data_time: 0.0985 memory: 14974 loss_prob: 1.0994 loss_thr: 0.5808 loss_db: 0.1797 loss: 1.8599 08/28 15:52:27 - mmengine - INFO - Epoch(train) [119][45/63] lr: 6.3768e-03 eta: 18:08:06 time: 0.7777 data_time: 0.0690 memory: 14974 loss_prob: 1.1938 loss_thr: 0.5952 loss_db: 0.1919 loss: 1.9809 08/28 15:52:32 - mmengine - INFO - Epoch(train) [119][50/63] lr: 6.3768e-03 eta: 18:07:45 time: 0.8277 data_time: 0.0494 memory: 14974 loss_prob: 1.1048 loss_thr: 0.5911 loss_db: 0.1782 loss: 1.8741 08/28 15:52:36 - mmengine - INFO - Epoch(train) [119][55/63] lr: 6.3768e-03 eta: 18:07:45 time: 0.9193 data_time: 0.1331 memory: 14974 loss_prob: 0.9746 loss_thr: 0.5484 loss_db: 0.1565 loss: 1.6795 08/28 15:52:41 - mmengine - INFO - Epoch(train) [119][60/63] lr: 6.3768e-03 eta: 18:07:35 time: 0.9518 data_time: 0.1471 memory: 14974 loss_prob: 1.0021 loss_thr: 0.5480 loss_db: 0.1645 loss: 1.7146 08/28 15:52:43 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:52:49 - mmengine - INFO - Epoch(train) [120][5/63] lr: 6.3715e-03 eta: 18:07:35 time: 0.9112 data_time: 0.2036 memory: 14974 loss_prob: 1.0543 loss_thr: 0.5690 loss_db: 0.1756 loss: 1.7989 08/28 15:52:54 - mmengine - INFO - Epoch(train) [120][10/63] lr: 6.3715e-03 eta: 18:07:05 time: 1.0504 data_time: 0.2469 memory: 14974 loss_prob: 1.0357 loss_thr: 0.5712 loss_db: 0.1699 loss: 1.7767 08/28 15:52:59 - mmengine - INFO - Epoch(train) [120][15/63] lr: 6.3715e-03 eta: 18:07:05 time: 1.0239 data_time: 0.1280 memory: 14974 loss_prob: 1.0787 loss_thr: 0.5764 loss_db: 0.1781 loss: 1.8332 08/28 15:53:03 - mmengine - INFO - Epoch(train) [120][20/63] lr: 6.3715e-03 eta: 18:06:55 time: 0.9626 data_time: 0.1311 memory: 14974 loss_prob: 1.0791 loss_thr: 0.5719 loss_db: 0.1811 loss: 1.8320 08/28 15:53:08 - mmengine - INFO - Epoch(train) [120][25/63] lr: 6.3715e-03 eta: 18:06:55 time: 0.8871 data_time: 0.1279 memory: 14974 loss_prob: 1.0912 loss_thr: 0.5761 loss_db: 0.1786 loss: 1.8460 08/28 15:53:13 - mmengine - INFO - Epoch(train) [120][30/63] lr: 6.3715e-03 eta: 18:06:45 time: 0.9483 data_time: 0.0589 memory: 14974 loss_prob: 1.0820 loss_thr: 0.5734 loss_db: 0.1747 loss: 1.8302 08/28 15:53:18 - mmengine - INFO - Epoch(train) [120][35/63] lr: 6.3715e-03 eta: 18:06:45 time: 1.0291 data_time: 0.1005 memory: 14974 loss_prob: 1.1399 loss_thr: 0.6055 loss_db: 0.1838 loss: 1.9293 08/28 15:53:23 - mmengine - INFO - Epoch(train) [120][40/63] lr: 6.3715e-03 eta: 18:06:37 time: 0.9773 data_time: 0.1012 memory: 14974 loss_prob: 1.1589 loss_thr: 0.6120 loss_db: 0.1812 loss: 1.9521 08/28 15:53:27 - mmengine - INFO - Epoch(train) [120][45/63] lr: 6.3715e-03 eta: 18:06:37 time: 0.8518 data_time: 0.0447 memory: 14974 loss_prob: 1.1181 loss_thr: 0.5931 loss_db: 0.1800 loss: 1.8912 08/28 15:53:31 - mmengine - INFO - Epoch(train) [120][50/63] lr: 6.3715e-03 eta: 18:06:18 time: 0.8530 data_time: 0.0998 memory: 14974 loss_prob: 1.0219 loss_thr: 0.5780 loss_db: 0.1667 loss: 1.7666 08/28 15:53:35 - mmengine - INFO - Epoch(train) [120][55/63] lr: 6.3715e-03 eta: 18:06:18 time: 0.8851 data_time: 0.1064 memory: 14974 loss_prob: 1.0653 loss_thr: 0.5948 loss_db: 0.1711 loss: 1.8312 08/28 15:53:40 - mmengine - INFO - Epoch(train) [120][60/63] lr: 6.3715e-03 eta: 18:05:59 time: 0.8521 data_time: 0.0594 memory: 14974 loss_prob: 1.1689 loss_thr: 0.6276 loss_db: 0.1930 loss: 1.9896 08/28 15:53:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:53:42 - mmengine - INFO - Saving checkpoint at 120 epochs 08/28 15:53:49 - mmengine - INFO - Epoch(val) [120][5/500] eta: 18:05:59 time: 0.0935 data_time: 0.0185 memory: 14974 08/28 15:53:49 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:00:46 time: 0.0939 data_time: 0.0184 memory: 1021 08/28 15:53:50 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:00:46 time: 0.0448 data_time: 0.0022 memory: 1021 08/28 15:53:50 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:21 time: 0.0457 data_time: 0.0023 memory: 1021 08/28 15:53:50 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:21 time: 0.0447 data_time: 0.0022 memory: 1021 08/28 15:53:50 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:21 time: 0.0463 data_time: 0.0021 memory: 1021 08/28 15:53:50 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:21 time: 0.0466 data_time: 0.0021 memory: 1021 08/28 15:53:51 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:22 time: 0.0479 data_time: 0.0022 memory: 1021 08/28 15:53:51 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:22 time: 0.0492 data_time: 0.0025 memory: 1021 08/28 15:53:51 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:21 time: 0.0483 data_time: 0.0041 memory: 1021 08/28 15:53:51 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:21 time: 0.0483 data_time: 0.0039 memory: 1021 08/28 15:53:52 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:20 time: 0.0465 data_time: 0.0027 memory: 1021 08/28 15:53:52 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:20 time: 0.0481 data_time: 0.0027 memory: 1021 08/28 15:53:52 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:20 time: 0.0484 data_time: 0.0022 memory: 1021 08/28 15:53:52 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:20 time: 0.0450 data_time: 0.0021 memory: 1021 08/28 15:53:53 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:18 time: 0.0429 data_time: 0.0020 memory: 1021 08/28 15:53:53 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:18 time: 0.0422 data_time: 0.0021 memory: 1021 08/28 15:53:53 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:18 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 15:53:53 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:18 time: 0.0483 data_time: 0.0023 memory: 1021 08/28 15:53:53 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:18 time: 0.0450 data_time: 0.0024 memory: 1021 08/28 15:53:54 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:18 time: 0.0451 data_time: 0.0024 memory: 1021 08/28 15:53:54 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:17 time: 0.0452 data_time: 0.0023 memory: 1021 08/28 15:53:54 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:17 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 15:53:54 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:18 time: 0.0476 data_time: 0.0024 memory: 1021 08/28 15:53:55 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:18 time: 0.0468 data_time: 0.0029 memory: 1021 08/28 15:53:55 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:20 time: 0.0567 data_time: 0.0129 memory: 1021 08/28 15:53:55 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:20 time: 0.0561 data_time: 0.0125 memory: 1021 08/28 15:53:55 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:16 time: 0.0451 data_time: 0.0021 memory: 1021 08/28 15:53:56 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:16 time: 0.0491 data_time: 0.0019 memory: 1021 08/28 15:53:56 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:17 time: 0.0497 data_time: 0.0023 memory: 1021 08/28 15:53:56 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:17 time: 0.0508 data_time: 0.0024 memory: 1021 08/28 15:53:56 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:17 time: 0.0507 data_time: 0.0024 memory: 1021 08/28 15:53:57 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:17 time: 0.0474 data_time: 0.0024 memory: 1021 08/28 15:53:57 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:15 time: 0.0484 data_time: 0.0022 memory: 1021 08/28 15:53:57 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:15 time: 0.0462 data_time: 0.0023 memory: 1021 08/28 15:53:57 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:14 time: 0.0453 data_time: 0.0025 memory: 1021 08/28 15:53:58 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:14 time: 0.0494 data_time: 0.0037 memory: 1021 08/28 15:53:58 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:15 time: 0.0499 data_time: 0.0036 memory: 1021 08/28 15:53:58 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:15 time: 0.0454 data_time: 0.0022 memory: 1021 08/28 15:53:58 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:15 time: 0.0504 data_time: 0.0024 memory: 1021 08/28 15:53:59 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:15 time: 0.0507 data_time: 0.0024 memory: 1021 08/28 15:53:59 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:13 time: 0.0454 data_time: 0.0036 memory: 1021 08/28 15:53:59 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:13 time: 0.0464 data_time: 0.0035 memory: 1021 08/28 15:53:59 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:12 time: 0.0461 data_time: 0.0021 memory: 1021 08/28 15:54:00 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:12 time: 0.0475 data_time: 0.0021 memory: 1021 08/28 15:54:00 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:12 time: 0.0455 data_time: 0.0021 memory: 1021 08/28 15:54:00 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:12 time: 0.0447 data_time: 0.0021 memory: 1021 08/28 15:54:00 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:12 time: 0.0469 data_time: 0.0021 memory: 1021 08/28 15:54:00 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:12 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 15:54:01 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:11 time: 0.0455 data_time: 0.0022 memory: 1021 08/28 15:54:01 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:11 time: 0.0458 data_time: 0.0024 memory: 1021 08/28 15:54:02 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:33 time: 0.1375 data_time: 0.0082 memory: 1021 08/28 15:54:02 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:33 time: 0.1400 data_time: 0.0096 memory: 1021 08/28 15:54:03 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:11 time: 0.0502 data_time: 0.0042 memory: 1021 08/28 15:54:03 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:11 time: 0.0473 data_time: 0.0027 memory: 1021 08/28 15:54:03 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:10 time: 0.0466 data_time: 0.0023 memory: 1021 08/28 15:54:03 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:10 time: 0.0471 data_time: 0.0024 memory: 1021 08/28 15:54:03 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:09 time: 0.0462 data_time: 0.0024 memory: 1021 08/28 15:54:04 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:09 time: 0.0473 data_time: 0.0023 memory: 1021 08/28 15:54:04 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:09 time: 0.0465 data_time: 0.0022 memory: 1021 08/28 15:54:04 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:09 time: 0.0459 data_time: 0.0020 memory: 1021 08/28 15:54:04 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:08 time: 0.0454 data_time: 0.0022 memory: 1021 08/28 15:54:05 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:08 time: 0.0487 data_time: 0.0025 memory: 1021 08/28 15:54:05 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:08 time: 0.0487 data_time: 0.0026 memory: 1021 08/28 15:54:05 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:08 time: 0.0574 data_time: 0.0025 memory: 1021 08/28 15:54:05 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:09 time: 0.0564 data_time: 0.0024 memory: 1021 08/28 15:54:06 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:09 time: 0.0434 data_time: 0.0023 memory: 1021 08/28 15:54:06 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:08 time: 0.0530 data_time: 0.0024 memory: 1021 08/28 15:54:06 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:08 time: 0.0596 data_time: 0.0078 memory: 1021 08/28 15:54:07 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:08 time: 0.0556 data_time: 0.0079 memory: 1021 08/28 15:54:07 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:08 time: 0.0488 data_time: 0.0024 memory: 1021 08/28 15:54:07 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:06 time: 0.0449 data_time: 0.0024 memory: 1021 08/28 15:54:07 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:06 time: 0.0459 data_time: 0.0024 memory: 1021 08/28 15:54:08 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:06 time: 0.0513 data_time: 0.0024 memory: 1021 08/28 15:54:08 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:06 time: 0.0514 data_time: 0.0035 memory: 1021 08/28 15:54:08 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:05 time: 0.0475 data_time: 0.0036 memory: 1021 08/28 15:54:08 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:05 time: 0.0478 data_time: 0.0025 memory: 1021 08/28 15:54:08 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:05 time: 0.0460 data_time: 0.0024 memory: 1021 08/28 15:54:09 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:05 time: 0.0556 data_time: 0.0121 memory: 1021 08/28 15:54:09 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:05 time: 0.0554 data_time: 0.0124 memory: 1021 08/28 15:54:09 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:05 time: 0.0465 data_time: 0.0024 memory: 1021 08/28 15:54:09 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:04 time: 0.0490 data_time: 0.0022 memory: 1021 08/28 15:54:10 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:04 time: 0.0472 data_time: 0.0024 memory: 1021 08/28 15:54:10 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:03 time: 0.0422 data_time: 0.0023 memory: 1021 08/28 15:54:10 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:03 time: 0.0437 data_time: 0.0023 memory: 1021 08/28 15:54:10 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:03 time: 0.0451 data_time: 0.0023 memory: 1021 08/28 15:54:11 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:03 time: 0.0438 data_time: 0.0023 memory: 1021 08/28 15:54:11 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:02 time: 0.0448 data_time: 0.0023 memory: 1021 08/28 15:54:11 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:02 time: 0.0467 data_time: 0.0023 memory: 1021 08/28 15:54:11 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:02 time: 0.0534 data_time: 0.0031 memory: 1021 08/28 15:54:12 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:02 time: 0.0623 data_time: 0.0040 memory: 1021 08/28 15:54:12 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:02 time: 0.0549 data_time: 0.0034 memory: 1021 08/28 15:54:12 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:02 time: 0.0438 data_time: 0.0025 memory: 1021 08/28 15:54:12 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:01 time: 0.0447 data_time: 0.0025 memory: 1021 08/28 15:54:13 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:01 time: 0.0446 data_time: 0.0023 memory: 1021 08/28 15:54:13 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:01 time: 0.0565 data_time: 0.0023 memory: 1021 08/28 15:54:13 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:01 time: 0.0610 data_time: 0.0025 memory: 1021 08/28 15:54:13 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0519 data_time: 0.0024 memory: 1021 08/28 15:54:14 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0536 data_time: 0.0023 memory: 1021 08/28 15:54:14 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0537 data_time: 0.0023 memory: 1021 08/28 15:54:14 - mmengine - INFO - Evaluating hmean-iou... 08/28 15:54:14 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8108, precision: 0.6768, hmean: 0.7378 08/28 15:54:14 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8103, precision: 0.7477, hmean: 0.7777 08/28 15:54:14 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8074, precision: 0.8039, hmean: 0.8057 08/28 15:54:14 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7925, precision: 0.8528, hmean: 0.8216 08/28 15:54:14 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7169, precision: 0.9024, hmean: 0.7990 08/28 15:54:14 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3134, precision: 0.9659, hmean: 0.4733 08/28 15:54:14 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0010, precision: 1.0000, hmean: 0.0019 08/28 15:54:14 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.8528 icdar/recall: 0.7925 icdar/hmean: 0.8216 08/28 15:54:21 - mmengine - INFO - Epoch(train) [121][5/63] lr: 6.3662e-03 eta: 0:00:00 time: 0.9906 data_time: 0.2340 memory: 14974 loss_prob: 1.1189 loss_thr: 0.5801 loss_db: 0.1808 loss: 1.8798 08/28 15:54:25 - mmengine - INFO - Epoch(train) [121][10/63] lr: 6.3662e-03 eta: 18:05:27 time: 1.0249 data_time: 0.2386 memory: 14974 loss_prob: 1.1045 loss_thr: 0.5741 loss_db: 0.1790 loss: 1.8576 08/28 15:54:30 - mmengine - INFO - Epoch(train) [121][15/63] lr: 6.3662e-03 eta: 18:05:27 time: 0.8883 data_time: 0.1346 memory: 14974 loss_prob: 1.0465 loss_thr: 0.5721 loss_db: 0.1754 loss: 1.7940 08/28 15:54:36 - mmengine - INFO - Epoch(train) [121][20/63] lr: 6.3662e-03 eta: 18:05:25 time: 1.0428 data_time: 0.1152 memory: 14974 loss_prob: 0.9866 loss_thr: 0.5496 loss_db: 0.1633 loss: 1.6995 08/28 15:54:40 - mmengine - INFO - Epoch(train) [121][25/63] lr: 6.3662e-03 eta: 18:05:25 time: 1.0295 data_time: 0.0992 memory: 14974 loss_prob: 0.9419 loss_thr: 0.5392 loss_db: 0.1532 loss: 1.6343 08/28 15:54:44 - mmengine - INFO - Epoch(train) [121][30/63] lr: 6.3662e-03 eta: 18:05:07 time: 0.8599 data_time: 0.0881 memory: 14974 loss_prob: 0.9355 loss_thr: 0.5558 loss_db: 0.1546 loss: 1.6459 08/28 15:54:49 - mmengine - INFO - Epoch(train) [121][35/63] lr: 6.3662e-03 eta: 18:05:07 time: 0.8346 data_time: 0.0465 memory: 14974 loss_prob: 1.0112 loss_thr: 0.5647 loss_db: 0.1631 loss: 1.7390 08/28 15:54:53 - mmengine - INFO - Epoch(train) [121][40/63] lr: 6.3662e-03 eta: 18:04:49 time: 0.8657 data_time: 0.0949 memory: 14974 loss_prob: 1.0245 loss_thr: 0.5539 loss_db: 0.1650 loss: 1.7434 08/28 15:54:57 - mmengine - INFO - Epoch(train) [121][45/63] lr: 6.3662e-03 eta: 18:04:49 time: 0.8308 data_time: 0.1021 memory: 14974 loss_prob: 0.9864 loss_thr: 0.5626 loss_db: 0.1637 loss: 1.7127 08/28 15:55:01 - mmengine - INFO - Epoch(train) [121][50/63] lr: 6.3662e-03 eta: 18:04:26 time: 0.8123 data_time: 0.0623 memory: 14974 loss_prob: 1.0552 loss_thr: 0.5912 loss_db: 0.1685 loss: 1.8149 08/28 15:55:05 - mmengine - INFO - Epoch(train) [121][55/63] lr: 6.3662e-03 eta: 18:04:26 time: 0.8208 data_time: 0.0745 memory: 14974 loss_prob: 1.0976 loss_thr: 0.5882 loss_db: 0.1758 loss: 1.8616 08/28 15:55:09 - mmengine - INFO - Epoch(train) [121][60/63] lr: 6.3662e-03 eta: 18:04:04 time: 0.8107 data_time: 0.0626 memory: 14974 loss_prob: 1.0508 loss_thr: 0.5695 loss_db: 0.1744 loss: 1.7947 08/28 15:55:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:55:17 - mmengine - INFO - Epoch(train) [122][5/63] lr: 6.3609e-03 eta: 18:04:04 time: 0.8944 data_time: 0.1986 memory: 14974 loss_prob: 1.1338 loss_thr: 0.6137 loss_db: 0.1831 loss: 1.9307 08/28 15:55:21 - mmengine - INFO - Epoch(train) [122][10/63] lr: 6.3609e-03 eta: 18:03:31 time: 1.0140 data_time: 0.2591 memory: 14974 loss_prob: 1.0362 loss_thr: 0.5757 loss_db: 0.1702 loss: 1.7822 08/28 15:55:26 - mmengine - INFO - Epoch(train) [122][15/63] lr: 6.3609e-03 eta: 18:03:31 time: 0.8979 data_time: 0.1302 memory: 14974 loss_prob: 1.0011 loss_thr: 0.5644 loss_db: 0.1659 loss: 1.7314 08/28 15:55:31 - mmengine - INFO - Epoch(train) [122][20/63] lr: 6.3609e-03 eta: 18:03:19 time: 0.9319 data_time: 0.0613 memory: 14974 loss_prob: 1.0780 loss_thr: 0.5920 loss_db: 0.1773 loss: 1.8474 08/28 15:55:35 - mmengine - INFO - Epoch(train) [122][25/63] lr: 6.3609e-03 eta: 18:03:19 time: 0.9852 data_time: 0.1166 memory: 14974 loss_prob: 1.1303 loss_thr: 0.6054 loss_db: 0.1852 loss: 1.9209 08/28 15:55:40 - mmengine - INFO - Epoch(train) [122][30/63] lr: 6.3609e-03 eta: 18:03:10 time: 0.9667 data_time: 0.1241 memory: 14974 loss_prob: 1.1094 loss_thr: 0.5778 loss_db: 0.1831 loss: 1.8703 08/28 15:55:44 - mmengine - INFO - Epoch(train) [122][35/63] lr: 6.3609e-03 eta: 18:03:10 time: 0.9049 data_time: 0.0725 memory: 14974 loss_prob: 1.0010 loss_thr: 0.5384 loss_db: 0.1676 loss: 1.7070 08/28 15:55:50 - mmengine - INFO - Epoch(train) [122][40/63] lr: 6.3609e-03 eta: 18:02:58 time: 0.9298 data_time: 0.1147 memory: 14974 loss_prob: 0.9806 loss_thr: 0.5542 loss_db: 0.1587 loss: 1.6935 08/28 15:55:54 - mmengine - INFO - Epoch(train) [122][45/63] lr: 6.3609e-03 eta: 18:02:58 time: 0.9618 data_time: 0.1084 memory: 14974 loss_prob: 1.1237 loss_thr: 0.6011 loss_db: 0.1823 loss: 1.9072 08/28 15:55:59 - mmengine - INFO - Epoch(train) [122][50/63] lr: 6.3609e-03 eta: 18:02:43 time: 0.8933 data_time: 0.0664 memory: 14974 loss_prob: 1.0806 loss_thr: 0.5863 loss_db: 0.1781 loss: 1.8449 08/28 15:56:04 - mmengine - INFO - Epoch(train) [122][55/63] lr: 6.3609e-03 eta: 18:02:43 time: 1.0199 data_time: 0.0881 memory: 14974 loss_prob: 0.9590 loss_thr: 0.5509 loss_db: 0.1579 loss: 1.6678 08/28 15:56:09 - mmengine - INFO - Epoch(train) [122][60/63] lr: 6.3609e-03 eta: 18:02:36 time: 0.9813 data_time: 0.0806 memory: 14974 loss_prob: 1.0450 loss_thr: 0.5690 loss_db: 0.1667 loss: 1.7807 08/28 15:56:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:56:16 - mmengine - INFO - Epoch(train) [123][5/63] lr: 6.3556e-03 eta: 18:02:36 time: 0.9026 data_time: 0.1819 memory: 14974 loss_prob: 0.9740 loss_thr: 0.5475 loss_db: 0.1568 loss: 1.6783 08/28 15:56:20 - mmengine - INFO - Epoch(train) [123][10/63] lr: 6.3556e-03 eta: 18:01:59 time: 0.9677 data_time: 0.2373 memory: 14974 loss_prob: 1.0330 loss_thr: 0.5607 loss_db: 0.1673 loss: 1.7610 08/28 15:56:24 - mmengine - INFO - Epoch(train) [123][15/63] lr: 6.3556e-03 eta: 18:01:59 time: 0.8437 data_time: 0.0955 memory: 14974 loss_prob: 1.1275 loss_thr: 0.6031 loss_db: 0.1859 loss: 1.9165 08/28 15:56:29 - mmengine - INFO - Epoch(train) [123][20/63] lr: 6.3556e-03 eta: 18:01:42 time: 0.8653 data_time: 0.0425 memory: 14974 loss_prob: 1.1249 loss_thr: 0.6202 loss_db: 0.1846 loss: 1.9297 08/28 15:56:33 - mmengine - INFO - Epoch(train) [123][25/63] lr: 6.3556e-03 eta: 18:01:42 time: 0.8703 data_time: 0.0747 memory: 14974 loss_prob: 1.1619 loss_thr: 0.6090 loss_db: 0.1876 loss: 1.9585 08/28 15:56:37 - mmengine - INFO - Epoch(train) [123][30/63] lr: 6.3556e-03 eta: 18:01:21 time: 0.8241 data_time: 0.0806 memory: 14974 loss_prob: 1.1253 loss_thr: 0.5950 loss_db: 0.1845 loss: 1.9049 08/28 15:56:42 - mmengine - INFO - Epoch(train) [123][35/63] lr: 6.3556e-03 eta: 18:01:21 time: 0.9112 data_time: 0.0854 memory: 14974 loss_prob: 1.0437 loss_thr: 0.5640 loss_db: 0.1706 loss: 1.7784 08/28 15:56:47 - mmengine - INFO - Epoch(train) [123][40/63] lr: 6.3556e-03 eta: 18:01:16 time: 1.0132 data_time: 0.2071 memory: 14974 loss_prob: 0.9835 loss_thr: 0.5498 loss_db: 0.1597 loss: 1.6930 08/28 15:56:58 - mmengine - INFO - Epoch(train) [123][45/63] lr: 6.3556e-03 eta: 18:01:16 time: 1.5969 data_time: 0.1683 memory: 14974 loss_prob: 0.9226 loss_thr: 0.5518 loss_db: 0.1530 loss: 1.6275 08/28 15:57:03 - mmengine - INFO - Epoch(train) [123][50/63] lr: 6.3556e-03 eta: 18:02:02 time: 1.5905 data_time: 0.1285 memory: 14974 loss_prob: 0.9820 loss_thr: 0.5524 loss_db: 0.1671 loss: 1.7015 08/28 15:57:09 - mmengine - INFO - Epoch(train) [123][55/63] lr: 6.3556e-03 eta: 18:02:02 time: 1.0836 data_time: 0.1448 memory: 14974 loss_prob: 1.0893 loss_thr: 0.5769 loss_db: 0.1789 loss: 1.8452 08/28 15:57:15 - mmengine - INFO - Epoch(train) [123][60/63] lr: 6.3556e-03 eta: 18:02:14 time: 1.1976 data_time: 0.1377 memory: 14974 loss_prob: 0.9989 loss_thr: 0.5606 loss_db: 0.1617 loss: 1.7212 08/28 15:57:18 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:57:23 - mmengine - INFO - Epoch(train) [124][5/63] lr: 6.3503e-03 eta: 18:02:14 time: 0.9692 data_time: 0.2411 memory: 14974 loss_prob: 1.0392 loss_thr: 0.5570 loss_db: 0.1706 loss: 1.7667 08/28 15:57:29 - mmengine - INFO - Epoch(train) [124][10/63] lr: 6.3503e-03 eta: 18:01:50 time: 1.1203 data_time: 0.2694 memory: 14974 loss_prob: 1.0806 loss_thr: 0.5793 loss_db: 0.1783 loss: 1.8383 08/28 15:57:33 - mmengine - INFO - Epoch(train) [124][15/63] lr: 6.3503e-03 eta: 18:01:50 time: 0.9244 data_time: 0.0908 memory: 14974 loss_prob: 0.9572 loss_thr: 0.5521 loss_db: 0.1559 loss: 1.6653 08/28 15:57:37 - mmengine - INFO - Epoch(train) [124][20/63] lr: 6.3503e-03 eta: 18:01:26 time: 0.7826 data_time: 0.0499 memory: 14974 loss_prob: 1.0426 loss_thr: 0.5728 loss_db: 0.1729 loss: 1.7882 08/28 15:57:41 - mmengine - INFO - Epoch(train) [124][25/63] lr: 6.3503e-03 eta: 18:01:26 time: 0.8616 data_time: 0.0950 memory: 14974 loss_prob: 1.1470 loss_thr: 0.6216 loss_db: 0.1925 loss: 1.9612 08/28 15:57:45 - mmengine - INFO - Epoch(train) [124][30/63] lr: 6.3503e-03 eta: 18:01:08 time: 0.8588 data_time: 0.0855 memory: 14974 loss_prob: 1.1045 loss_thr: 0.6239 loss_db: 0.1835 loss: 1.9120 08/28 15:57:50 - mmengine - INFO - Epoch(train) [124][35/63] lr: 6.3503e-03 eta: 18:01:08 time: 0.8416 data_time: 0.0511 memory: 14974 loss_prob: 1.0511 loss_thr: 0.5929 loss_db: 0.1731 loss: 1.8171 08/28 15:57:55 - mmengine - INFO - Epoch(train) [124][40/63] lr: 6.3503e-03 eta: 18:00:58 time: 0.9577 data_time: 0.1084 memory: 14974 loss_prob: 0.9787 loss_thr: 0.5547 loss_db: 0.1576 loss: 1.6910 08/28 15:57:59 - mmengine - INFO - Epoch(train) [124][45/63] lr: 6.3503e-03 eta: 18:00:58 time: 0.9229 data_time: 0.1107 memory: 14974 loss_prob: 0.9640 loss_thr: 0.5579 loss_db: 0.1574 loss: 1.6793 08/28 15:58:03 - mmengine - INFO - Epoch(train) [124][50/63] lr: 6.3503e-03 eta: 18:00:34 time: 0.7906 data_time: 0.0503 memory: 14974 loss_prob: 1.0563 loss_thr: 0.5872 loss_db: 0.1748 loss: 1.8183 08/28 15:58:07 - mmengine - INFO - Epoch(train) [124][55/63] lr: 6.3503e-03 eta: 18:00:34 time: 0.8085 data_time: 0.0647 memory: 14974 loss_prob: 1.1723 loss_thr: 0.5925 loss_db: 0.1884 loss: 1.9532 08/28 15:58:11 - mmengine - INFO - Epoch(train) [124][60/63] lr: 6.3503e-03 eta: 18:00:13 time: 0.8279 data_time: 0.0750 memory: 14974 loss_prob: 1.3950 loss_thr: 0.6261 loss_db: 0.2152 loss: 2.2363 08/28 15:58:13 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:58:18 - mmengine - INFO - Epoch(train) [125][5/63] lr: 6.3450e-03 eta: 18:00:13 time: 0.8668 data_time: 0.1811 memory: 14974 loss_prob: 1.0441 loss_thr: 0.5587 loss_db: 0.1728 loss: 1.7756 08/28 15:58:23 - mmengine - INFO - Epoch(train) [125][10/63] lr: 6.3450e-03 eta: 17:59:38 time: 0.9766 data_time: 0.2358 memory: 14974 loss_prob: 1.0587 loss_thr: 0.5668 loss_db: 0.1738 loss: 1.7993 08/28 15:58:27 - mmengine - INFO - Epoch(train) [125][15/63] lr: 6.3450e-03 eta: 17:59:38 time: 0.9188 data_time: 0.1290 memory: 14974 loss_prob: 1.0045 loss_thr: 0.5676 loss_db: 0.1658 loss: 1.7379 08/28 15:58:33 - mmengine - INFO - Epoch(train) [125][20/63] lr: 6.3450e-03 eta: 17:59:30 time: 0.9787 data_time: 0.0743 memory: 14974 loss_prob: 0.9361 loss_thr: 0.5417 loss_db: 0.1520 loss: 1.6298 08/28 15:58:37 - mmengine - INFO - Epoch(train) [125][25/63] lr: 6.3450e-03 eta: 17:59:30 time: 0.9814 data_time: 0.1277 memory: 14974 loss_prob: 0.9925 loss_thr: 0.5685 loss_db: 0.1590 loss: 1.7200 08/28 15:58:41 - mmengine - INFO - Epoch(train) [125][30/63] lr: 6.3450e-03 eta: 17:59:13 time: 0.8612 data_time: 0.1279 memory: 14974 loss_prob: 1.0637 loss_thr: 0.5915 loss_db: 0.1731 loss: 1.8282 08/28 15:58:46 - mmengine - INFO - Epoch(train) [125][35/63] lr: 6.3450e-03 eta: 17:59:13 time: 0.8745 data_time: 0.0666 memory: 14974 loss_prob: 1.0047 loss_thr: 0.5662 loss_db: 0.1668 loss: 1.7376 08/28 15:58:51 - mmengine - INFO - Epoch(train) [125][40/63] lr: 6.3450e-03 eta: 17:59:04 time: 0.9689 data_time: 0.0905 memory: 14974 loss_prob: 0.9431 loss_thr: 0.5571 loss_db: 0.1589 loss: 1.6591 08/28 15:58:55 - mmengine - INFO - Epoch(train) [125][45/63] lr: 6.3450e-03 eta: 17:59:04 time: 0.9049 data_time: 0.0914 memory: 14974 loss_prob: 0.9387 loss_thr: 0.5472 loss_db: 0.1556 loss: 1.6415 08/28 15:59:00 - mmengine - INFO - Epoch(train) [125][50/63] lr: 6.3450e-03 eta: 17:58:50 time: 0.9059 data_time: 0.0524 memory: 14974 loss_prob: 0.9095 loss_thr: 0.5377 loss_db: 0.1484 loss: 1.5956 08/28 15:59:04 - mmengine - INFO - Epoch(train) [125][55/63] lr: 6.3450e-03 eta: 17:58:50 time: 0.9135 data_time: 0.0724 memory: 14974 loss_prob: 0.9359 loss_thr: 0.5492 loss_db: 0.1550 loss: 1.6401 08/28 15:59:08 - mmengine - INFO - Epoch(train) [125][60/63] lr: 6.3450e-03 eta: 17:58:28 time: 0.8115 data_time: 0.0806 memory: 14974 loss_prob: 0.9623 loss_thr: 0.5400 loss_db: 0.1602 loss: 1.6625 08/28 15:59:10 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 15:59:16 - mmengine - INFO - Epoch(train) [126][5/63] lr: 6.3396e-03 eta: 17:58:28 time: 0.8990 data_time: 0.1831 memory: 14974 loss_prob: 1.0012 loss_thr: 0.5544 loss_db: 0.1636 loss: 1.7192 08/28 15:59:20 - mmengine - INFO - Epoch(train) [126][10/63] lr: 6.3396e-03 eta: 17:57:52 time: 0.9617 data_time: 0.2089 memory: 14974 loss_prob: 1.0352 loss_thr: 0.5761 loss_db: 0.1704 loss: 1.7817 08/28 15:59:24 - mmengine - INFO - Epoch(train) [126][15/63] lr: 6.3396e-03 eta: 17:57:52 time: 0.8165 data_time: 0.0708 memory: 14974 loss_prob: 1.0546 loss_thr: 0.5814 loss_db: 0.1701 loss: 1.8062 08/28 15:59:28 - mmengine - INFO - Epoch(train) [126][20/63] lr: 6.3396e-03 eta: 17:57:29 time: 0.7969 data_time: 0.0537 memory: 14974 loss_prob: 1.0038 loss_thr: 0.5384 loss_db: 0.1659 loss: 1.7080 08/28 15:59:32 - mmengine - INFO - Epoch(train) [126][25/63] lr: 6.3396e-03 eta: 17:57:29 time: 0.8618 data_time: 0.1317 memory: 14974 loss_prob: 1.2345 loss_thr: 0.6042 loss_db: 0.2051 loss: 2.0437 08/28 15:59:36 - mmengine - INFO - Epoch(train) [126][30/63] lr: 6.3396e-03 eta: 17:57:11 time: 0.8608 data_time: 0.1412 memory: 14974 loss_prob: 1.3126 loss_thr: 0.6567 loss_db: 0.2164 loss: 2.1857 08/28 15:59:40 - mmengine - INFO - Epoch(train) [126][35/63] lr: 6.3396e-03 eta: 17:57:11 time: 0.8013 data_time: 0.0771 memory: 14974 loss_prob: 1.2102 loss_thr: 0.6207 loss_db: 0.1982 loss: 2.0292 08/28 15:59:46 - mmengine - INFO - Epoch(train) [126][40/63] lr: 6.3396e-03 eta: 17:57:02 time: 0.9586 data_time: 0.1238 memory: 14974 loss_prob: 1.2517 loss_thr: 0.6102 loss_db: 0.2010 loss: 2.0629 08/28 15:59:50 - mmengine - INFO - Epoch(train) [126][45/63] lr: 6.3396e-03 eta: 17:57:02 time: 0.9744 data_time: 0.1275 memory: 14974 loss_prob: 1.1779 loss_thr: 0.6205 loss_db: 0.1896 loss: 1.9880 08/28 15:59:55 - mmengine - INFO - Epoch(train) [126][50/63] lr: 6.3396e-03 eta: 17:56:46 time: 0.8805 data_time: 0.0815 memory: 14974 loss_prob: 1.1188 loss_thr: 0.6318 loss_db: 0.1822 loss: 1.9329 08/28 16:00:00 - mmengine - INFO - Epoch(train) [126][55/63] lr: 6.3396e-03 eta: 17:56:46 time: 0.9438 data_time: 0.1381 memory: 14974 loss_prob: 1.1110 loss_thr: 0.6119 loss_db: 0.1833 loss: 1.9062 08/28 16:00:05 - mmengine - INFO - Epoch(train) [126][60/63] lr: 6.3396e-03 eta: 17:56:40 time: 0.9911 data_time: 0.1249 memory: 14974 loss_prob: 1.0591 loss_thr: 0.5854 loss_db: 0.1752 loss: 1.8197 08/28 16:00:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:00:14 - mmengine - INFO - Epoch(train) [127][5/63] lr: 6.3343e-03 eta: 17:56:40 time: 1.1266 data_time: 0.1806 memory: 14974 loss_prob: 1.0884 loss_thr: 0.5991 loss_db: 0.1767 loss: 1.8641 08/28 16:00:18 - mmengine - INFO - Epoch(train) [127][10/63] lr: 6.3343e-03 eta: 17:56:13 time: 1.0799 data_time: 0.2133 memory: 14974 loss_prob: 0.9954 loss_thr: 0.5722 loss_db: 0.1650 loss: 1.7326 08/28 16:00:22 - mmengine - INFO - Epoch(train) [127][15/63] lr: 6.3343e-03 eta: 17:56:13 time: 0.8217 data_time: 0.0868 memory: 14974 loss_prob: 1.0421 loss_thr: 0.5666 loss_db: 0.1643 loss: 1.7730 08/28 16:00:26 - mmengine - INFO - Epoch(train) [127][20/63] lr: 6.3343e-03 eta: 17:55:50 time: 0.7902 data_time: 0.0585 memory: 14974 loss_prob: 1.1306 loss_thr: 0.5769 loss_db: 0.1756 loss: 1.8832 08/28 16:00:31 - mmengine - INFO - Epoch(train) [127][25/63] lr: 6.3343e-03 eta: 17:55:50 time: 0.8881 data_time: 0.1086 memory: 14974 loss_prob: 1.0562 loss_thr: 0.5743 loss_db: 0.1677 loss: 1.7983 08/28 16:00:35 - mmengine - INFO - Epoch(train) [127][30/63] lr: 6.3343e-03 eta: 17:55:35 time: 0.8873 data_time: 0.1004 memory: 14974 loss_prob: 0.9619 loss_thr: 0.5511 loss_db: 0.1531 loss: 1.6661 08/28 16:00:39 - mmengine - INFO - Epoch(train) [127][35/63] lr: 6.3343e-03 eta: 17:55:35 time: 0.8080 data_time: 0.0541 memory: 14974 loss_prob: 0.9985 loss_thr: 0.5637 loss_db: 0.1636 loss: 1.7259 08/28 16:00:43 - mmengine - INFO - Epoch(train) [127][40/63] lr: 6.3343e-03 eta: 17:55:14 time: 0.8280 data_time: 0.0809 memory: 14974 loss_prob: 1.0376 loss_thr: 0.5809 loss_db: 0.1721 loss: 1.7906 08/28 16:00:47 - mmengine - INFO - Epoch(train) [127][45/63] lr: 6.3343e-03 eta: 17:55:14 time: 0.7958 data_time: 0.0726 memory: 14974 loss_prob: 1.1246 loss_thr: 0.5935 loss_db: 0.1811 loss: 1.8992 08/28 16:00:51 - mmengine - INFO - Epoch(train) [127][50/63] lr: 6.3343e-03 eta: 17:54:51 time: 0.7899 data_time: 0.0609 memory: 14974 loss_prob: 1.1812 loss_thr: 0.6087 loss_db: 0.1889 loss: 1.9787 08/28 16:00:56 - mmengine - INFO - Epoch(train) [127][55/63] lr: 6.3343e-03 eta: 17:54:51 time: 0.8794 data_time: 0.1281 memory: 14974 loss_prob: 1.1000 loss_thr: 0.5991 loss_db: 0.1768 loss: 1.8758 08/28 16:01:00 - mmengine - INFO - Epoch(train) [127][60/63] lr: 6.3343e-03 eta: 17:54:35 time: 0.8757 data_time: 0.1318 memory: 14974 loss_prob: 0.9843 loss_thr: 0.5781 loss_db: 0.1577 loss: 1.7201 08/28 16:01:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:01:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:01:09 - mmengine - INFO - Epoch(train) [128][5/63] lr: 6.3290e-03 eta: 17:54:35 time: 1.0931 data_time: 0.2346 memory: 14974 loss_prob: 1.2187 loss_thr: 0.6064 loss_db: 0.1996 loss: 2.0247 08/28 16:01:14 - mmengine - INFO - Epoch(train) [128][10/63] lr: 6.3290e-03 eta: 17:54:12 time: 1.1206 data_time: 0.2539 memory: 14974 loss_prob: 1.2063 loss_thr: 0.5808 loss_db: 0.1967 loss: 1.9838 08/28 16:01:18 - mmengine - INFO - Epoch(train) [128][15/63] lr: 6.3290e-03 eta: 17:54:12 time: 0.8536 data_time: 0.1182 memory: 14974 loss_prob: 1.1042 loss_thr: 0.5416 loss_db: 0.1730 loss: 1.8189 08/28 16:01:30 - mmengine - INFO - Epoch(train) [128][20/63] lr: 6.3290e-03 eta: 17:54:58 time: 1.6123 data_time: 0.0818 memory: 14974 loss_prob: 1.1208 loss_thr: 0.5646 loss_db: 0.1800 loss: 1.8653 08/28 16:01:35 - mmengine - INFO - Epoch(train) [128][25/63] lr: 6.3290e-03 eta: 17:54:58 time: 1.6750 data_time: 0.1319 memory: 14974 loss_prob: 1.2047 loss_thr: 0.5932 loss_db: 0.1898 loss: 1.9877 08/28 16:01:42 - mmengine - INFO - Epoch(train) [128][30/63] lr: 6.3290e-03 eta: 17:55:11 time: 1.2216 data_time: 0.1839 memory: 14974 loss_prob: 1.2284 loss_thr: 0.5949 loss_db: 0.1950 loss: 2.0183 08/28 16:01:46 - mmengine - INFO - Epoch(train) [128][35/63] lr: 6.3290e-03 eta: 17:55:11 time: 1.1534 data_time: 0.1374 memory: 14974 loss_prob: 1.1546 loss_thr: 0.5870 loss_db: 0.1929 loss: 1.9345 08/28 16:01:51 - mmengine - INFO - Epoch(train) [128][40/63] lr: 6.3290e-03 eta: 17:54:58 time: 0.9052 data_time: 0.0922 memory: 14974 loss_prob: 1.1054 loss_thr: 0.5754 loss_db: 0.1874 loss: 1.8681 08/28 16:01:55 - mmengine - INFO - Epoch(train) [128][45/63] lr: 6.3290e-03 eta: 17:54:58 time: 0.8773 data_time: 0.0449 memory: 14974 loss_prob: 1.1675 loss_thr: 0.5952 loss_db: 0.1966 loss: 1.9593 08/28 16:01:59 - mmengine - INFO - Epoch(train) [128][50/63] lr: 6.3290e-03 eta: 17:54:39 time: 0.8419 data_time: 0.0977 memory: 14974 loss_prob: 1.2647 loss_thr: 0.6018 loss_db: 0.2121 loss: 2.0786 08/28 16:02:03 - mmengine - INFO - Epoch(train) [128][55/63] lr: 6.3290e-03 eta: 17:54:39 time: 0.8393 data_time: 0.1060 memory: 14974 loss_prob: 1.0677 loss_thr: 0.5615 loss_db: 0.1783 loss: 1.8074 08/28 16:02:07 - mmengine - INFO - Epoch(train) [128][60/63] lr: 6.3290e-03 eta: 17:54:15 time: 0.7916 data_time: 0.0527 memory: 14974 loss_prob: 1.0088 loss_thr: 0.5586 loss_db: 0.1683 loss: 1.7357 08/28 16:02:10 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:02:16 - mmengine - INFO - Epoch(train) [129][5/63] lr: 6.3237e-03 eta: 17:54:15 time: 0.9764 data_time: 0.2130 memory: 14974 loss_prob: 1.0506 loss_thr: 0.5527 loss_db: 0.1695 loss: 1.7728 08/28 16:02:20 - mmengine - INFO - Epoch(train) [129][10/63] lr: 6.3237e-03 eta: 17:53:37 time: 0.9351 data_time: 0.1866 memory: 14974 loss_prob: 0.8963 loss_thr: 0.5279 loss_db: 0.1441 loss: 1.5683 08/28 16:02:24 - mmengine - INFO - Epoch(train) [129][15/63] lr: 6.3237e-03 eta: 17:53:37 time: 0.8652 data_time: 0.0767 memory: 14974 loss_prob: 0.9487 loss_thr: 0.5368 loss_db: 0.1534 loss: 1.6389 08/28 16:02:28 - mmengine - INFO - Epoch(train) [129][20/63] lr: 6.3237e-03 eta: 17:53:21 time: 0.8682 data_time: 0.0895 memory: 14974 loss_prob: 0.9439 loss_thr: 0.5225 loss_db: 0.1519 loss: 1.6183 08/28 16:02:32 - mmengine - INFO - Epoch(train) [129][25/63] lr: 6.3237e-03 eta: 17:53:21 time: 0.7966 data_time: 0.0671 memory: 14974 loss_prob: 1.0131 loss_thr: 0.5531 loss_db: 0.1637 loss: 1.7299 08/28 16:02:37 - mmengine - INFO - Epoch(train) [129][30/63] lr: 6.3237e-03 eta: 17:53:03 time: 0.8582 data_time: 0.1280 memory: 14974 loss_prob: 1.0977 loss_thr: 0.5655 loss_db: 0.1824 loss: 1.8456 08/28 16:02:42 - mmengine - INFO - Epoch(train) [129][35/63] lr: 6.3237e-03 eta: 17:53:03 time: 0.9420 data_time: 0.1335 memory: 14974 loss_prob: 1.0822 loss_thr: 0.5570 loss_db: 0.1795 loss: 1.8187 08/28 16:02:46 - mmengine - INFO - Epoch(train) [129][40/63] lr: 6.3237e-03 eta: 17:52:54 time: 0.9554 data_time: 0.0564 memory: 14974 loss_prob: 1.0239 loss_thr: 0.5631 loss_db: 0.1677 loss: 1.7547 08/28 16:02:51 - mmengine - INFO - Epoch(train) [129][45/63] lr: 6.3237e-03 eta: 17:52:54 time: 0.9712 data_time: 0.1228 memory: 14974 loss_prob: 0.9249 loss_thr: 0.5425 loss_db: 0.1517 loss: 1.6191 08/28 16:02:55 - mmengine - INFO - Epoch(train) [129][50/63] lr: 6.3237e-03 eta: 17:52:39 time: 0.8913 data_time: 0.1388 memory: 14974 loss_prob: 0.9499 loss_thr: 0.5377 loss_db: 0.1539 loss: 1.6415 08/28 16:03:00 - mmengine - INFO - Epoch(train) [129][55/63] lr: 6.3237e-03 eta: 17:52:39 time: 0.8477 data_time: 0.0627 memory: 14974 loss_prob: 0.9735 loss_thr: 0.5493 loss_db: 0.1605 loss: 1.6833 08/28 16:03:05 - mmengine - INFO - Epoch(train) [129][60/63] lr: 6.3237e-03 eta: 17:52:29 time: 0.9527 data_time: 0.1012 memory: 14974 loss_prob: 0.9722 loss_thr: 0.5651 loss_db: 0.1610 loss: 1.6983 08/28 16:03:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:03:12 - mmengine - INFO - Epoch(train) [130][5/63] lr: 6.3184e-03 eta: 17:52:29 time: 0.9635 data_time: 0.1780 memory: 14974 loss_prob: 1.0809 loss_thr: 0.5790 loss_db: 0.1721 loss: 1.8321 08/28 16:03:18 - mmengine - INFO - Epoch(train) [130][10/63] lr: 6.3184e-03 eta: 17:52:03 time: 1.0735 data_time: 0.2271 memory: 14974 loss_prob: 1.0422 loss_thr: 0.5686 loss_db: 0.1696 loss: 1.7803 08/28 16:03:22 - mmengine - INFO - Epoch(train) [130][15/63] lr: 6.3184e-03 eta: 17:52:03 time: 0.9197 data_time: 0.0829 memory: 14974 loss_prob: 1.0462 loss_thr: 0.5695 loss_db: 0.1697 loss: 1.7853 08/28 16:03:26 - mmengine - INFO - Epoch(train) [130][20/63] lr: 6.3184e-03 eta: 17:51:40 time: 0.7838 data_time: 0.0510 memory: 14974 loss_prob: 1.2446 loss_thr: 0.6048 loss_db: 0.1992 loss: 2.0486 08/28 16:03:30 - mmengine - INFO - Epoch(train) [130][25/63] lr: 6.3184e-03 eta: 17:51:40 time: 0.8779 data_time: 0.1216 memory: 14974 loss_prob: 1.2994 loss_thr: 0.6007 loss_db: 0.2088 loss: 2.1089 08/28 16:03:34 - mmengine - INFO - Epoch(train) [130][30/63] lr: 6.3184e-03 eta: 17:51:23 time: 0.8606 data_time: 0.1155 memory: 14974 loss_prob: 1.1505 loss_thr: 0.5943 loss_db: 0.1851 loss: 1.9299 08/28 16:03:38 - mmengine - INFO - Epoch(train) [130][35/63] lr: 6.3184e-03 eta: 17:51:23 time: 0.7760 data_time: 0.0496 memory: 14974 loss_prob: 1.1009 loss_thr: 0.5695 loss_db: 0.1813 loss: 1.8517 08/28 16:03:43 - mmengine - INFO - Epoch(train) [130][40/63] lr: 6.3184e-03 eta: 17:51:06 time: 0.8713 data_time: 0.0698 memory: 14974 loss_prob: 1.1208 loss_thr: 0.5789 loss_db: 0.1871 loss: 1.8868 08/28 16:03:47 - mmengine - INFO - Epoch(train) [130][45/63] lr: 6.3184e-03 eta: 17:51:06 time: 0.8796 data_time: 0.0713 memory: 14974 loss_prob: 1.0913 loss_thr: 0.5943 loss_db: 0.1801 loss: 1.8657 08/28 16:03:51 - mmengine - INFO - Epoch(train) [130][50/63] lr: 6.3184e-03 eta: 17:50:43 time: 0.7910 data_time: 0.0510 memory: 14974 loss_prob: 0.9722 loss_thr: 0.5520 loss_db: 0.1584 loss: 1.6826 08/28 16:03:55 - mmengine - INFO - Epoch(train) [130][55/63] lr: 6.3184e-03 eta: 17:50:43 time: 0.8328 data_time: 0.1082 memory: 14974 loss_prob: 0.9403 loss_thr: 0.5285 loss_db: 0.1511 loss: 1.6200 08/28 16:04:00 - mmengine - INFO - Epoch(train) [130][60/63] lr: 6.3184e-03 eta: 17:50:29 time: 0.8994 data_time: 0.1170 memory: 14974 loss_prob: 1.0371 loss_thr: 0.5745 loss_db: 0.1678 loss: 1.7794 08/28 16:04:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:04:08 - mmengine - INFO - Epoch(train) [131][5/63] lr: 6.3131e-03 eta: 17:50:29 time: 0.9895 data_time: 0.1870 memory: 14974 loss_prob: 1.0403 loss_thr: 0.5350 loss_db: 0.1672 loss: 1.7425 08/28 16:04:13 - mmengine - INFO - Epoch(train) [131][10/63] lr: 6.3131e-03 eta: 17:50:08 time: 1.1299 data_time: 0.2585 memory: 14974 loss_prob: 1.0303 loss_thr: 0.5450 loss_db: 0.1667 loss: 1.7419 08/28 16:04:17 - mmengine - INFO - Epoch(train) [131][15/63] lr: 6.3131e-03 eta: 17:50:08 time: 0.9301 data_time: 0.1283 memory: 14974 loss_prob: 1.1420 loss_thr: 0.5781 loss_db: 0.1828 loss: 1.9029 08/28 16:04:22 - mmengine - INFO - Epoch(train) [131][20/63] lr: 6.3131e-03 eta: 17:49:53 time: 0.8846 data_time: 0.0693 memory: 14974 loss_prob: 1.1781 loss_thr: 0.5971 loss_db: 0.1839 loss: 1.9591 08/28 16:04:27 - mmengine - INFO - Epoch(train) [131][25/63] lr: 6.3131e-03 eta: 17:49:53 time: 0.9647 data_time: 0.1297 memory: 14974 loss_prob: 1.1012 loss_thr: 0.5964 loss_db: 0.1766 loss: 1.8742 08/28 16:04:32 - mmengine - INFO - Epoch(train) [131][30/63] lr: 6.3131e-03 eta: 17:49:44 time: 0.9552 data_time: 0.1141 memory: 14974 loss_prob: 1.1150 loss_thr: 0.5985 loss_db: 0.1845 loss: 1.8980 08/28 16:04:36 - mmengine - INFO - Epoch(train) [131][35/63] lr: 6.3131e-03 eta: 17:49:44 time: 0.8838 data_time: 0.0515 memory: 14974 loss_prob: 1.1666 loss_thr: 0.6002 loss_db: 0.1935 loss: 1.9603 08/28 16:04:40 - mmengine - INFO - Epoch(train) [131][40/63] lr: 6.3131e-03 eta: 17:49:28 time: 0.8818 data_time: 0.0818 memory: 14974 loss_prob: 1.0347 loss_thr: 0.5495 loss_db: 0.1711 loss: 1.7552 08/28 16:04:44 - mmengine - INFO - Epoch(train) [131][45/63] lr: 6.3131e-03 eta: 17:49:28 time: 0.8882 data_time: 0.0828 memory: 14974 loss_prob: 1.0301 loss_thr: 0.5362 loss_db: 0.1756 loss: 1.7420 08/28 16:04:48 - mmengine - INFO - Epoch(train) [131][50/63] lr: 6.3131e-03 eta: 17:49:05 time: 0.7841 data_time: 0.0581 memory: 14974 loss_prob: 1.1942 loss_thr: 0.5672 loss_db: 0.1993 loss: 1.9607 08/28 16:04:53 - mmengine - INFO - Epoch(train) [131][55/63] lr: 6.3131e-03 eta: 17:49:05 time: 0.8344 data_time: 0.1003 memory: 14974 loss_prob: 1.1063 loss_thr: 0.5531 loss_db: 0.1805 loss: 1.8399 08/28 16:04:57 - mmengine - INFO - Epoch(train) [131][60/63] lr: 6.3131e-03 eta: 17:48:48 time: 0.8556 data_time: 0.1065 memory: 14974 loss_prob: 0.9572 loss_thr: 0.5433 loss_db: 0.1587 loss: 1.6592 08/28 16:05:00 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:05:05 - mmengine - INFO - Epoch(train) [132][5/63] lr: 6.3078e-03 eta: 17:48:48 time: 0.9839 data_time: 0.1681 memory: 14974 loss_prob: 1.2254 loss_thr: 0.5908 loss_db: 0.1913 loss: 2.0076 08/28 16:05:09 - mmengine - INFO - Epoch(train) [132][10/63] lr: 6.3078e-03 eta: 17:48:12 time: 0.9534 data_time: 0.2144 memory: 14974 loss_prob: 1.1586 loss_thr: 0.5784 loss_db: 0.1803 loss: 1.9172 08/28 16:05:14 - mmengine - INFO - Epoch(train) [132][15/63] lr: 6.3078e-03 eta: 17:48:12 time: 0.8324 data_time: 0.0968 memory: 14974 loss_prob: 1.0053 loss_thr: 0.5596 loss_db: 0.1607 loss: 1.7255 08/28 16:05:18 - mmengine - INFO - Epoch(train) [132][20/63] lr: 6.3078e-03 eta: 17:47:50 time: 0.8016 data_time: 0.0728 memory: 14974 loss_prob: 1.1828 loss_thr: 0.5742 loss_db: 0.1864 loss: 1.9434 08/28 16:05:24 - mmengine - INFO - Epoch(train) [132][25/63] lr: 6.3078e-03 eta: 17:47:50 time: 1.0025 data_time: 0.1643 memory: 14974 loss_prob: 1.1876 loss_thr: 0.5733 loss_db: 0.1891 loss: 1.9500 08/28 16:05:29 - mmengine - INFO - Epoch(train) [132][30/63] lr: 6.3078e-03 eta: 17:47:56 time: 1.1369 data_time: 0.1715 memory: 14974 loss_prob: 1.0046 loss_thr: 0.5698 loss_db: 0.1680 loss: 1.7423 08/28 16:05:34 - mmengine - INFO - Epoch(train) [132][35/63] lr: 6.3078e-03 eta: 17:47:56 time: 1.0831 data_time: 0.1323 memory: 14974 loss_prob: 0.9948 loss_thr: 0.5763 loss_db: 0.1638 loss: 1.7349 08/28 16:05:38 - mmengine - INFO - Epoch(train) [132][40/63] lr: 6.3078e-03 eta: 17:47:46 time: 0.9447 data_time: 0.1243 memory: 14974 loss_prob: 1.0532 loss_thr: 0.5868 loss_db: 0.1673 loss: 1.8074 08/28 16:05:44 - mmengine - INFO - Epoch(train) [132][45/63] lr: 6.3078e-03 eta: 17:47:46 time: 0.9962 data_time: 0.0920 memory: 14974 loss_prob: 1.0881 loss_thr: 0.5834 loss_db: 0.1747 loss: 1.8462 08/28 16:05:48 - mmengine - INFO - Epoch(train) [132][50/63] lr: 6.3078e-03 eta: 17:47:40 time: 0.9943 data_time: 0.0806 memory: 14974 loss_prob: 0.9940 loss_thr: 0.5662 loss_db: 0.1627 loss: 1.7229 08/28 16:05:53 - mmengine - INFO - Epoch(train) [132][55/63] lr: 6.3078e-03 eta: 17:47:40 time: 0.8440 data_time: 0.0324 memory: 14974 loss_prob: 1.0293 loss_thr: 0.5807 loss_db: 0.1664 loss: 1.7763 08/28 16:05:58 - mmengine - INFO - Epoch(train) [132][60/63] lr: 6.3078e-03 eta: 17:47:27 time: 0.9130 data_time: 0.0484 memory: 14974 loss_prob: 1.0486 loss_thr: 0.5841 loss_db: 0.1705 loss: 1.8032 08/28 16:06:00 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:06:08 - mmengine - INFO - Epoch(train) [133][5/63] lr: 6.3025e-03 eta: 17:47:27 time: 1.1996 data_time: 0.3037 memory: 14974 loss_prob: 0.9180 loss_thr: 0.5509 loss_db: 0.1513 loss: 1.6202 08/28 16:06:13 - mmengine - INFO - Epoch(train) [133][10/63] lr: 6.3025e-03 eta: 17:47:15 time: 1.2459 data_time: 0.3018 memory: 14974 loss_prob: 0.9227 loss_thr: 0.5555 loss_db: 0.1498 loss: 1.6280 08/28 16:06:17 - mmengine - INFO - Epoch(train) [133][15/63] lr: 6.3025e-03 eta: 17:47:15 time: 0.9147 data_time: 0.0961 memory: 14974 loss_prob: 0.9000 loss_thr: 0.5538 loss_db: 0.1501 loss: 1.6039 08/28 16:06:21 - mmengine - INFO - Epoch(train) [133][20/63] lr: 6.3025e-03 eta: 17:46:59 time: 0.8735 data_time: 0.0415 memory: 14974 loss_prob: 0.9289 loss_thr: 0.5341 loss_db: 0.1560 loss: 1.6191 08/28 16:06:26 - mmengine - INFO - Epoch(train) [133][25/63] lr: 6.3025e-03 eta: 17:46:59 time: 0.8729 data_time: 0.1071 memory: 14974 loss_prob: 0.9748 loss_thr: 0.5495 loss_db: 0.1604 loss: 1.6848 08/28 16:06:31 - mmengine - INFO - Epoch(train) [133][30/63] lr: 6.3025e-03 eta: 17:46:49 time: 0.9382 data_time: 0.1145 memory: 14974 loss_prob: 1.0266 loss_thr: 0.5775 loss_db: 0.1689 loss: 1.7730 08/28 16:06:35 - mmengine - INFO - Epoch(train) [133][35/63] lr: 6.3025e-03 eta: 17:46:49 time: 0.8995 data_time: 0.0710 memory: 14974 loss_prob: 1.0028 loss_thr: 0.5618 loss_db: 0.1655 loss: 1.7301 08/28 16:06:39 - mmengine - INFO - Epoch(train) [133][40/63] lr: 6.3025e-03 eta: 17:46:29 time: 0.8254 data_time: 0.0899 memory: 14974 loss_prob: 0.9521 loss_thr: 0.5390 loss_db: 0.1576 loss: 1.6487 08/28 16:06:43 - mmengine - INFO - Epoch(train) [133][45/63] lr: 6.3025e-03 eta: 17:46:29 time: 0.8136 data_time: 0.0717 memory: 14974 loss_prob: 0.9201 loss_thr: 0.5367 loss_db: 0.1521 loss: 1.6089 08/28 16:06:47 - mmengine - INFO - Epoch(train) [133][50/63] lr: 6.3025e-03 eta: 17:46:08 time: 0.8006 data_time: 0.0440 memory: 14974 loss_prob: 0.8753 loss_thr: 0.5306 loss_db: 0.1431 loss: 1.5490 08/28 16:06:52 - mmengine - INFO - Epoch(train) [133][55/63] lr: 6.3025e-03 eta: 17:46:08 time: 0.8692 data_time: 0.0677 memory: 14974 loss_prob: 0.9713 loss_thr: 0.5351 loss_db: 0.1567 loss: 1.6631 08/28 16:06:56 - mmengine - INFO - Epoch(train) [133][60/63] lr: 6.3025e-03 eta: 17:45:52 time: 0.8721 data_time: 0.0915 memory: 14974 loss_prob: 1.0136 loss_thr: 0.5549 loss_db: 0.1624 loss: 1.7309 08/28 16:06:58 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:07:03 - mmengine - INFO - Epoch(train) [134][5/63] lr: 6.2971e-03 eta: 17:45:52 time: 0.9090 data_time: 0.1924 memory: 14974 loss_prob: 0.9771 loss_thr: 0.5675 loss_db: 0.1572 loss: 1.7019 08/28 16:07:08 - mmengine - INFO - Epoch(train) [134][10/63] lr: 6.2971e-03 eta: 17:45:20 time: 0.9924 data_time: 0.2383 memory: 14974 loss_prob: 0.9698 loss_thr: 0.5729 loss_db: 0.1583 loss: 1.7010 08/28 16:07:14 - mmengine - INFO - Epoch(train) [134][15/63] lr: 6.2971e-03 eta: 17:45:20 time: 1.0941 data_time: 0.1136 memory: 14974 loss_prob: 1.0089 loss_thr: 0.5819 loss_db: 0.1664 loss: 1.7573 08/28 16:07:19 - mmengine - INFO - Epoch(train) [134][20/63] lr: 6.2971e-03 eta: 17:45:24 time: 1.1198 data_time: 0.1318 memory: 14974 loss_prob: 0.9645 loss_thr: 0.5536 loss_db: 0.1564 loss: 1.6745 08/28 16:07:23 - mmengine - INFO - Epoch(train) [134][25/63] lr: 6.2971e-03 eta: 17:45:24 time: 0.8691 data_time: 0.1180 memory: 14974 loss_prob: 0.9548 loss_thr: 0.5411 loss_db: 0.1629 loss: 1.6588 08/28 16:07:28 - mmengine - INFO - Epoch(train) [134][30/63] lr: 6.2971e-03 eta: 17:45:10 time: 0.8942 data_time: 0.0569 memory: 14974 loss_prob: 0.9630 loss_thr: 0.5329 loss_db: 0.1664 loss: 1.6622 08/28 16:07:34 - mmengine - INFO - Epoch(train) [134][35/63] lr: 6.2971e-03 eta: 17:45:10 time: 1.0647 data_time: 0.1033 memory: 14974 loss_prob: 0.8389 loss_thr: 0.4900 loss_db: 0.1380 loss: 1.4669 08/28 16:07:37 - mmengine - INFO - Epoch(train) [134][40/63] lr: 6.2971e-03 eta: 17:44:59 time: 0.9433 data_time: 0.0889 memory: 14974 loss_prob: 0.9728 loss_thr: 0.5479 loss_db: 0.1572 loss: 1.6780 08/28 16:07:42 - mmengine - INFO - Epoch(train) [134][45/63] lr: 6.2971e-03 eta: 17:44:59 time: 0.8293 data_time: 0.0455 memory: 14974 loss_prob: 1.1213 loss_thr: 0.5866 loss_db: 0.1788 loss: 1.8867 08/28 16:07:46 - mmengine - INFO - Epoch(train) [134][50/63] lr: 6.2971e-03 eta: 17:44:46 time: 0.8975 data_time: 0.0770 memory: 14974 loss_prob: 1.1321 loss_thr: 0.5803 loss_db: 0.1792 loss: 1.8917 08/28 16:07:50 - mmengine - INFO - Epoch(train) [134][55/63] lr: 6.2971e-03 eta: 17:44:46 time: 0.8391 data_time: 0.0813 memory: 14974 loss_prob: 1.0722 loss_thr: 0.5842 loss_db: 0.1780 loss: 1.8343 08/28 16:07:54 - mmengine - INFO - Epoch(train) [134][60/63] lr: 6.2971e-03 eta: 17:44:22 time: 0.7747 data_time: 0.0534 memory: 14974 loss_prob: 1.0118 loss_thr: 0.5579 loss_db: 0.1666 loss: 1.7363 08/28 16:07:57 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:08:02 - mmengine - INFO - Epoch(train) [135][5/63] lr: 6.2918e-03 eta: 17:44:22 time: 0.9304 data_time: 0.2208 memory: 14974 loss_prob: 1.0203 loss_thr: 0.5552 loss_db: 0.1617 loss: 1.7372 08/28 16:08:06 - mmengine - INFO - Epoch(train) [135][10/63] lr: 6.2918e-03 eta: 17:43:44 time: 0.9052 data_time: 0.1582 memory: 14974 loss_prob: 0.9117 loss_thr: 0.5248 loss_db: 0.1461 loss: 1.5826 08/28 16:08:10 - mmengine - INFO - Epoch(train) [135][15/63] lr: 6.2918e-03 eta: 17:43:44 time: 0.8261 data_time: 0.0703 memory: 14974 loss_prob: 1.0318 loss_thr: 0.5409 loss_db: 0.1648 loss: 1.7376 08/28 16:08:14 - mmengine - INFO - Epoch(train) [135][20/63] lr: 6.2918e-03 eta: 17:43:25 time: 0.8344 data_time: 0.0941 memory: 14974 loss_prob: 1.0378 loss_thr: 0.5811 loss_db: 0.1658 loss: 1.7848 08/28 16:08:18 - mmengine - INFO - Epoch(train) [135][25/63] lr: 6.2918e-03 eta: 17:43:25 time: 0.7829 data_time: 0.0759 memory: 14974 loss_prob: 0.9397 loss_thr: 0.5639 loss_db: 0.1519 loss: 1.6555 08/28 16:08:23 - mmengine - INFO - Epoch(train) [135][30/63] lr: 6.2918e-03 eta: 17:43:11 time: 0.8996 data_time: 0.1386 memory: 14974 loss_prob: 1.0117 loss_thr: 0.5604 loss_db: 0.1647 loss: 1.7368 08/28 16:08:28 - mmengine - INFO - Epoch(train) [135][35/63] lr: 6.2918e-03 eta: 17:43:11 time: 0.9587 data_time: 0.1397 memory: 14974 loss_prob: 1.0426 loss_thr: 0.5733 loss_db: 0.1709 loss: 1.7868 08/28 16:08:34 - mmengine - INFO - Epoch(train) [135][40/63] lr: 6.2918e-03 eta: 17:43:08 time: 1.0295 data_time: 0.0705 memory: 14974 loss_prob: 1.0157 loss_thr: 0.5569 loss_db: 0.1650 loss: 1.7376 08/28 16:08:38 - mmengine - INFO - Epoch(train) [135][45/63] lr: 6.2918e-03 eta: 17:43:08 time: 1.0586 data_time: 0.1372 memory: 14974 loss_prob: 1.0626 loss_thr: 0.5845 loss_db: 0.1756 loss: 1.8227 08/28 16:08:42 - mmengine - INFO - Epoch(train) [135][50/63] lr: 6.2918e-03 eta: 17:42:52 time: 0.8699 data_time: 0.1308 memory: 14974 loss_prob: 1.0471 loss_thr: 0.5904 loss_db: 0.1745 loss: 1.8120 08/28 16:08:47 - mmengine - INFO - Epoch(train) [135][55/63] lr: 6.2918e-03 eta: 17:42:52 time: 0.8822 data_time: 0.0676 memory: 14974 loss_prob: 1.0547 loss_thr: 0.5833 loss_db: 0.1696 loss: 1.8076 08/28 16:08:53 - mmengine - INFO - Epoch(train) [135][60/63] lr: 6.2918e-03 eta: 17:42:52 time: 1.0749 data_time: 0.1254 memory: 14974 loss_prob: 1.1102 loss_thr: 0.5948 loss_db: 0.1794 loss: 1.8844 08/28 16:08:55 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:09:02 - mmengine - INFO - Epoch(train) [136][5/63] lr: 6.2865e-03 eta: 17:42:52 time: 1.0675 data_time: 0.2734 memory: 14974 loss_prob: 0.9644 loss_thr: 0.5570 loss_db: 0.1640 loss: 1.6854 08/28 16:09:07 - mmengine - INFO - Epoch(train) [136][10/63] lr: 6.2865e-03 eta: 17:42:35 time: 1.1693 data_time: 0.2943 memory: 14974 loss_prob: 0.9858 loss_thr: 0.5406 loss_db: 0.1595 loss: 1.6858 08/28 16:09:11 - mmengine - INFO - Epoch(train) [136][15/63] lr: 6.2865e-03 eta: 17:42:35 time: 0.8973 data_time: 0.0663 memory: 14974 loss_prob: 1.0792 loss_thr: 0.5682 loss_db: 0.1734 loss: 1.8208 08/28 16:09:15 - mmengine - INFO - Epoch(train) [136][20/63] lr: 6.2865e-03 eta: 17:42:16 time: 0.8354 data_time: 0.0507 memory: 14974 loss_prob: 0.9962 loss_thr: 0.5501 loss_db: 0.1656 loss: 1.7119 08/28 16:09:20 - mmengine - INFO - Epoch(train) [136][25/63] lr: 6.2865e-03 eta: 17:42:16 time: 0.8368 data_time: 0.0966 memory: 14974 loss_prob: 0.9062 loss_thr: 0.4981 loss_db: 0.1458 loss: 1.5501 08/28 16:09:23 - mmengine - INFO - Epoch(train) [136][30/63] lr: 6.2865e-03 eta: 17:41:57 time: 0.8269 data_time: 0.0811 memory: 14974 loss_prob: 0.9522 loss_thr: 0.5199 loss_db: 0.1506 loss: 1.6228 08/28 16:09:27 - mmengine - INFO - Epoch(train) [136][35/63] lr: 6.2865e-03 eta: 17:41:57 time: 0.7906 data_time: 0.0436 memory: 14974 loss_prob: 1.2339 loss_thr: 0.5601 loss_db: 0.1811 loss: 1.9751 08/28 16:09:32 - mmengine - INFO - Epoch(train) [136][40/63] lr: 6.2865e-03 eta: 17:41:40 time: 0.8565 data_time: 0.1166 memory: 14974 loss_prob: 1.2512 loss_thr: 0.5603 loss_db: 0.1872 loss: 1.9987 08/28 16:09:36 - mmengine - INFO - Epoch(train) [136][45/63] lr: 6.2865e-03 eta: 17:41:40 time: 0.8504 data_time: 0.1227 memory: 14974 loss_prob: 1.0378 loss_thr: 0.5738 loss_db: 0.1738 loss: 1.7854 08/28 16:09:40 - mmengine - INFO - Epoch(train) [136][50/63] lr: 6.2865e-03 eta: 17:41:23 time: 0.8464 data_time: 0.0782 memory: 14974 loss_prob: 1.0530 loss_thr: 0.5779 loss_db: 0.1733 loss: 1.8042 08/28 16:09:45 - mmengine - INFO - Epoch(train) [136][55/63] lr: 6.2865e-03 eta: 17:41:23 time: 0.9024 data_time: 0.1382 memory: 14974 loss_prob: 1.1244 loss_thr: 0.5735 loss_db: 0.1815 loss: 1.8794 08/28 16:09:51 - mmengine - INFO - Epoch(train) [136][60/63] lr: 6.2865e-03 eta: 17:41:23 time: 1.0718 data_time: 0.1309 memory: 14974 loss_prob: 1.1511 loss_thr: 0.5741 loss_db: 0.1875 loss: 1.9127 08/28 16:09:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:09:59 - mmengine - INFO - Epoch(train) [137][5/63] lr: 6.2812e-03 eta: 17:41:23 time: 1.0498 data_time: 0.2575 memory: 14974 loss_prob: 1.0246 loss_thr: 0.5877 loss_db: 0.1717 loss: 1.7840 08/28 16:10:03 - mmengine - INFO - Epoch(train) [137][10/63] lr: 6.2812e-03 eta: 17:40:47 time: 0.9374 data_time: 0.2019 memory: 14974 loss_prob: 0.9834 loss_thr: 0.5466 loss_db: 0.1686 loss: 1.6986 08/28 16:10:09 - mmengine - INFO - Epoch(train) [137][15/63] lr: 6.2812e-03 eta: 17:40:47 time: 0.9563 data_time: 0.1073 memory: 14974 loss_prob: 0.9685 loss_thr: 0.5495 loss_db: 0.1595 loss: 1.6776 08/28 16:10:14 - mmengine - INFO - Epoch(train) [137][20/63] lr: 6.2812e-03 eta: 17:40:45 time: 1.0479 data_time: 0.1132 memory: 14974 loss_prob: 1.0187 loss_thr: 0.5774 loss_db: 0.1691 loss: 1.7653 08/28 16:10:18 - mmengine - INFO - Epoch(train) [137][25/63] lr: 6.2812e-03 eta: 17:40:45 time: 0.8936 data_time: 0.0733 memory: 14974 loss_prob: 1.0819 loss_thr: 0.5841 loss_db: 0.1792 loss: 1.8453 08/28 16:10:24 - mmengine - INFO - Epoch(train) [137][30/63] lr: 6.2812e-03 eta: 17:40:41 time: 1.0099 data_time: 0.0378 memory: 14974 loss_prob: 1.0262 loss_thr: 0.5692 loss_db: 0.1668 loss: 1.7621 08/28 16:10:28 - mmengine - INFO - Epoch(train) [137][35/63] lr: 6.2812e-03 eta: 17:40:41 time: 1.0062 data_time: 0.0302 memory: 14974 loss_prob: 0.9418 loss_thr: 0.5316 loss_db: 0.1533 loss: 1.6267 08/28 16:10:32 - mmengine - INFO - Epoch(train) [137][40/63] lr: 6.2812e-03 eta: 17:40:20 time: 0.8100 data_time: 0.0455 memory: 14974 loss_prob: 0.9543 loss_thr: 0.5239 loss_db: 0.1577 loss: 1.6358 08/28 16:10:36 - mmengine - INFO - Epoch(train) [137][45/63] lr: 6.2812e-03 eta: 17:40:20 time: 0.8504 data_time: 0.0516 memory: 14974 loss_prob: 0.9852 loss_thr: 0.5303 loss_db: 0.1617 loss: 1.6772 08/28 16:10:41 - mmengine - INFO - Epoch(train) [137][50/63] lr: 6.2812e-03 eta: 17:40:05 time: 0.8820 data_time: 0.0781 memory: 14974 loss_prob: 0.9582 loss_thr: 0.5306 loss_db: 0.1532 loss: 1.6419 08/28 16:10:45 - mmengine - INFO - Epoch(train) [137][55/63] lr: 6.2812e-03 eta: 17:40:05 time: 0.8402 data_time: 0.0775 memory: 14974 loss_prob: 1.0451 loss_thr: 0.5442 loss_db: 0.1622 loss: 1.7516 08/28 16:10:49 - mmengine - INFO - Epoch(train) [137][60/63] lr: 6.2812e-03 eta: 17:39:44 time: 0.7947 data_time: 0.0634 memory: 14974 loss_prob: 1.1196 loss_thr: 0.5642 loss_db: 0.1745 loss: 1.8583 08/28 16:10:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:10:58 - mmengine - INFO - Epoch(train) [138][5/63] lr: 6.2759e-03 eta: 17:39:44 time: 1.0318 data_time: 0.2237 memory: 14974 loss_prob: 1.0357 loss_thr: 0.5403 loss_db: 0.1686 loss: 1.7446 08/28 16:11:01 - mmengine - INFO - Epoch(train) [138][10/63] lr: 6.2759e-03 eta: 17:39:07 time: 0.9155 data_time: 0.1786 memory: 14974 loss_prob: 1.0260 loss_thr: 0.5474 loss_db: 0.1656 loss: 1.7390 08/28 16:11:05 - mmengine - INFO - Epoch(train) [138][15/63] lr: 6.2759e-03 eta: 17:39:07 time: 0.7837 data_time: 0.0618 memory: 14974 loss_prob: 1.0526 loss_thr: 0.6094 loss_db: 0.1689 loss: 1.8309 08/28 16:11:10 - mmengine - INFO - Epoch(train) [138][20/63] lr: 6.2759e-03 eta: 17:38:48 time: 0.8327 data_time: 0.0585 memory: 14974 loss_prob: 1.0260 loss_thr: 0.6051 loss_db: 0.1680 loss: 1.7992 08/28 16:11:14 - mmengine - INFO - Epoch(train) [138][25/63] lr: 6.2759e-03 eta: 17:38:48 time: 0.8579 data_time: 0.0602 memory: 14974 loss_prob: 0.9287 loss_thr: 0.5443 loss_db: 0.1576 loss: 1.6307 08/28 16:11:18 - mmengine - INFO - Epoch(train) [138][30/63] lr: 6.2759e-03 eta: 17:38:33 time: 0.8734 data_time: 0.1176 memory: 14974 loss_prob: 0.8879 loss_thr: 0.5345 loss_db: 0.1497 loss: 1.5721 08/28 16:11:23 - mmengine - INFO - Epoch(train) [138][35/63] lr: 6.2759e-03 eta: 17:38:33 time: 0.8589 data_time: 0.1179 memory: 14974 loss_prob: 0.9012 loss_thr: 0.5609 loss_db: 0.1496 loss: 1.6117 08/28 16:11:27 - mmengine - INFO - Epoch(train) [138][40/63] lr: 6.2759e-03 eta: 17:38:14 time: 0.8283 data_time: 0.0787 memory: 14974 loss_prob: 0.9475 loss_thr: 0.5657 loss_db: 0.1531 loss: 1.6662 08/28 16:11:31 - mmengine - INFO - Epoch(train) [138][45/63] lr: 6.2759e-03 eta: 17:38:14 time: 0.8898 data_time: 0.1211 memory: 14974 loss_prob: 1.0500 loss_thr: 0.5751 loss_db: 0.1710 loss: 1.7961 08/28 16:11:36 - mmengine - INFO - Epoch(train) [138][50/63] lr: 6.2759e-03 eta: 17:38:05 time: 0.9565 data_time: 0.1135 memory: 14974 loss_prob: 1.0454 loss_thr: 0.5814 loss_db: 0.1755 loss: 1.8022 08/28 16:11:41 - mmengine - INFO - Epoch(train) [138][55/63] lr: 6.2759e-03 eta: 17:38:05 time: 0.9396 data_time: 0.0783 memory: 14974 loss_prob: 0.9975 loss_thr: 0.5741 loss_db: 0.1656 loss: 1.7371 08/28 16:11:45 - mmengine - INFO - Epoch(train) [138][60/63] lr: 6.2759e-03 eta: 17:37:52 time: 0.8942 data_time: 0.1235 memory: 14974 loss_prob: 0.9505 loss_thr: 0.5557 loss_db: 0.1560 loss: 1.6622 08/28 16:11:47 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:11:54 - mmengine - INFO - Epoch(train) [139][5/63] lr: 6.2705e-03 eta: 17:37:52 time: 1.0195 data_time: 0.1871 memory: 14974 loss_prob: 1.0106 loss_thr: 0.5726 loss_db: 0.1636 loss: 1.7468 08/28 16:11:59 - mmengine - INFO - Epoch(train) [139][10/63] lr: 6.2705e-03 eta: 17:37:30 time: 1.1144 data_time: 0.2241 memory: 14974 loss_prob: 1.0372 loss_thr: 0.5680 loss_db: 0.1729 loss: 1.7780 08/28 16:12:03 - mmengine - INFO - Epoch(train) [139][15/63] lr: 6.2705e-03 eta: 17:37:30 time: 0.8554 data_time: 0.0917 memory: 14974 loss_prob: 1.0049 loss_thr: 0.5643 loss_db: 0.1638 loss: 1.7331 08/28 16:12:07 - mmengine - INFO - Epoch(train) [139][20/63] lr: 6.2705e-03 eta: 17:37:11 time: 0.8258 data_time: 0.0481 memory: 14974 loss_prob: 0.9831 loss_thr: 0.5613 loss_db: 0.1607 loss: 1.7051 08/28 16:12:12 - mmengine - INFO - Epoch(train) [139][25/63] lr: 6.2705e-03 eta: 17:37:11 time: 0.8991 data_time: 0.0957 memory: 14974 loss_prob: 0.9746 loss_thr: 0.5501 loss_db: 0.1606 loss: 1.6852 08/28 16:12:15 - mmengine - INFO - Epoch(train) [139][30/63] lr: 6.2705e-03 eta: 17:36:55 time: 0.8654 data_time: 0.1041 memory: 14974 loss_prob: 0.9629 loss_thr: 0.5430 loss_db: 0.1568 loss: 1.6627 08/28 16:12:20 - mmengine - INFO - Epoch(train) [139][35/63] lr: 6.2705e-03 eta: 17:36:55 time: 0.8201 data_time: 0.0596 memory: 14974 loss_prob: 0.9419 loss_thr: 0.5420 loss_db: 0.1512 loss: 1.6351 08/28 16:12:24 - mmengine - INFO - Epoch(train) [139][40/63] lr: 6.2705e-03 eta: 17:36:37 time: 0.8376 data_time: 0.0745 memory: 14974 loss_prob: 0.9703 loss_thr: 0.5708 loss_db: 0.1538 loss: 1.6949 08/28 16:12:28 - mmengine - INFO - Epoch(train) [139][45/63] lr: 6.2705e-03 eta: 17:36:37 time: 0.7970 data_time: 0.0629 memory: 14974 loss_prob: 0.9179 loss_thr: 0.5607 loss_db: 0.1481 loss: 1.6267 08/28 16:12:33 - mmengine - INFO - Epoch(train) [139][50/63] lr: 6.2705e-03 eta: 17:36:22 time: 0.8653 data_time: 0.0473 memory: 14974 loss_prob: 0.9228 loss_thr: 0.5450 loss_db: 0.1489 loss: 1.6167 08/28 16:12:37 - mmengine - INFO - Epoch(train) [139][55/63] lr: 6.2705e-03 eta: 17:36:22 time: 0.8997 data_time: 0.0800 memory: 14974 loss_prob: 0.9364 loss_thr: 0.5430 loss_db: 0.1513 loss: 1.6308 08/28 16:12:41 - mmengine - INFO - Epoch(train) [139][60/63] lr: 6.2705e-03 eta: 17:36:03 time: 0.8288 data_time: 0.0906 memory: 14974 loss_prob: 0.9286 loss_thr: 0.5478 loss_db: 0.1534 loss: 1.6299 08/28 16:12:43 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:12:48 - mmengine - INFO - Epoch(train) [140][5/63] lr: 6.2652e-03 eta: 17:36:03 time: 0.8809 data_time: 0.1783 memory: 14974 loss_prob: 0.9806 loss_thr: 0.5562 loss_db: 0.1643 loss: 1.7011 08/28 16:12:53 - mmengine - INFO - Epoch(train) [140][10/63] lr: 6.2652e-03 eta: 17:35:31 time: 0.9727 data_time: 0.2369 memory: 14974 loss_prob: 1.0027 loss_thr: 0.5630 loss_db: 0.1653 loss: 1.7310 08/28 16:12:59 - mmengine - INFO - Epoch(train) [140][15/63] lr: 6.2652e-03 eta: 17:35:31 time: 1.0499 data_time: 0.1335 memory: 14974 loss_prob: 0.9958 loss_thr: 0.5678 loss_db: 0.1596 loss: 1.7233 08/28 16:13:03 - mmengine - INFO - Epoch(train) [140][20/63] lr: 6.2652e-03 eta: 17:35:30 time: 1.0597 data_time: 0.1417 memory: 14974 loss_prob: 0.9759 loss_thr: 0.5398 loss_db: 0.1537 loss: 1.6695 08/28 16:13:07 - mmengine - INFO - Epoch(train) [140][25/63] lr: 6.2652e-03 eta: 17:35:30 time: 0.8895 data_time: 0.1504 memory: 14974 loss_prob: 0.8353 loss_thr: 0.4992 loss_db: 0.1378 loss: 1.4724 08/28 16:13:12 - mmengine - INFO - Epoch(train) [140][30/63] lr: 6.2652e-03 eta: 17:35:16 time: 0.8838 data_time: 0.0791 memory: 14974 loss_prob: 0.9158 loss_thr: 0.5482 loss_db: 0.1546 loss: 1.6186 08/28 16:13:17 - mmengine - INFO - Epoch(train) [140][35/63] lr: 6.2652e-03 eta: 17:35:16 time: 0.9743 data_time: 0.1063 memory: 14974 loss_prob: 1.0971 loss_thr: 0.5984 loss_db: 0.1775 loss: 1.8729 08/28 16:13:21 - mmengine - INFO - Epoch(train) [140][40/63] lr: 6.2652e-03 eta: 17:35:04 time: 0.9249 data_time: 0.1039 memory: 14974 loss_prob: 1.0128 loss_thr: 0.5639 loss_db: 0.1634 loss: 1.7400 08/28 16:13:25 - mmengine - INFO - Epoch(train) [140][45/63] lr: 6.2652e-03 eta: 17:35:04 time: 0.8145 data_time: 0.0534 memory: 14974 loss_prob: 0.9448 loss_thr: 0.5560 loss_db: 0.1544 loss: 1.6552 08/28 16:13:30 - mmengine - INFO - Epoch(train) [140][50/63] lr: 6.2652e-03 eta: 17:34:47 time: 0.8485 data_time: 0.0788 memory: 14974 loss_prob: 1.1658 loss_thr: 0.5970 loss_db: 0.1773 loss: 1.9401 08/28 16:13:34 - mmengine - INFO - Epoch(train) [140][55/63] lr: 6.2652e-03 eta: 17:34:47 time: 0.8392 data_time: 0.0787 memory: 14974 loss_prob: 1.1383 loss_thr: 0.5794 loss_db: 0.1753 loss: 1.8930 08/28 16:13:38 - mmengine - INFO - Epoch(train) [140][60/63] lr: 6.2652e-03 eta: 17:34:29 time: 0.8315 data_time: 0.0718 memory: 14974 loss_prob: 0.9498 loss_thr: 0.5435 loss_db: 0.1552 loss: 1.6484 08/28 16:13:41 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:13:41 - mmengine - INFO - Saving checkpoint at 140 epochs 08/28 16:13:47 - mmengine - INFO - Epoch(val) [140][5/500] eta: 17:34:29 time: 0.0705 data_time: 0.0111 memory: 14974 08/28 16:13:48 - mmengine - INFO - Epoch(val) [140][10/500] eta: 0:00:34 time: 0.0699 data_time: 0.0138 memory: 1021 08/28 16:13:48 - mmengine - INFO - Epoch(val) [140][15/500] eta: 0:00:34 time: 0.0477 data_time: 0.0050 memory: 1021 08/28 16:13:48 - mmengine - INFO - Epoch(val) [140][20/500] eta: 0:00:21 time: 0.0458 data_time: 0.0024 memory: 1021 08/28 16:13:48 - mmengine - INFO - Epoch(val) [140][25/500] eta: 0:00:21 time: 0.0456 data_time: 0.0025 memory: 1021 08/28 16:13:48 - mmengine - INFO - Epoch(val) [140][30/500] eta: 0:00:22 time: 0.0479 data_time: 0.0025 memory: 1021 08/28 16:13:49 - mmengine - INFO - Epoch(val) [140][35/500] eta: 0:00:22 time: 0.0481 data_time: 0.0024 memory: 1021 08/28 16:13:49 - mmengine - INFO - Epoch(val) [140][40/500] eta: 0:00:22 time: 0.0489 data_time: 0.0024 memory: 1021 08/28 16:13:49 - mmengine - INFO - Epoch(val) [140][45/500] eta: 0:00:22 time: 0.0501 data_time: 0.0025 memory: 1021 08/28 16:13:50 - mmengine - INFO - Epoch(val) [140][50/500] eta: 0:00:25 time: 0.0570 data_time: 0.0037 memory: 1021 08/28 16:13:50 - mmengine - INFO - Epoch(val) [140][55/500] eta: 0:00:25 time: 0.0575 data_time: 0.0037 memory: 1021 08/28 16:13:50 - mmengine - INFO - Epoch(val) [140][60/500] eta: 0:00:20 time: 0.0459 data_time: 0.0023 memory: 1021 08/28 16:13:50 - mmengine - INFO - Epoch(val) [140][65/500] eta: 0:00:20 time: 0.0469 data_time: 0.0022 memory: 1021 08/28 16:13:50 - mmengine - INFO - Epoch(val) [140][70/500] eta: 0:00:20 time: 0.0487 data_time: 0.0023 memory: 1021 08/28 16:13:51 - mmengine - INFO - Epoch(val) [140][75/500] eta: 0:00:20 time: 0.0466 data_time: 0.0024 memory: 1021 08/28 16:13:51 - mmengine - INFO - Epoch(val) [140][80/500] eta: 0:00:18 time: 0.0445 data_time: 0.0023 memory: 1021 08/28 16:13:51 - mmengine - INFO - Epoch(val) [140][85/500] eta: 0:00:18 time: 0.0426 data_time: 0.0022 memory: 1021 08/28 16:13:51 - mmengine - INFO - Epoch(val) [140][90/500] eta: 0:00:19 time: 0.0473 data_time: 0.0025 memory: 1021 08/28 16:13:52 - mmengine - INFO - Epoch(val) [140][95/500] eta: 0:00:19 time: 0.0497 data_time: 0.0026 memory: 1021 08/28 16:13:52 - mmengine - INFO - Epoch(val) [140][100/500] eta: 0:00:18 time: 0.0453 data_time: 0.0024 memory: 1021 08/28 16:13:52 - mmengine - INFO - Epoch(val) [140][105/500] eta: 0:00:18 time: 0.0452 data_time: 0.0023 memory: 1021 08/28 16:13:52 - mmengine - INFO - Epoch(val) [140][110/500] eta: 0:00:18 time: 0.0463 data_time: 0.0026 memory: 1021 08/28 16:13:53 - mmengine - INFO - Epoch(val) [140][115/500] eta: 0:00:18 time: 0.0466 data_time: 0.0029 memory: 1021 08/28 16:13:53 - mmengine - INFO - Epoch(val) [140][120/500] eta: 0:00:17 time: 0.0464 data_time: 0.0025 memory: 1021 08/28 16:13:53 - mmengine - INFO - Epoch(val) [140][125/500] eta: 0:00:17 time: 0.0456 data_time: 0.0023 memory: 1021 08/28 16:13:53 - mmengine - INFO - Epoch(val) [140][130/500] eta: 0:00:16 time: 0.0449 data_time: 0.0025 memory: 1021 08/28 16:13:53 - mmengine - INFO - Epoch(val) [140][135/500] eta: 0:00:16 time: 0.0448 data_time: 0.0025 memory: 1021 08/28 16:13:54 - mmengine - INFO - Epoch(val) [140][140/500] eta: 0:00:16 time: 0.0453 data_time: 0.0024 memory: 1021 08/28 16:13:54 - mmengine - INFO - Epoch(val) [140][145/500] eta: 0:00:16 time: 0.0482 data_time: 0.0024 memory: 1021 08/28 16:13:54 - mmengine - INFO - Epoch(val) [140][150/500] eta: 0:00:17 time: 0.0487 data_time: 0.0023 memory: 1021 08/28 16:13:54 - mmengine - INFO - Epoch(val) [140][155/500] eta: 0:00:17 time: 0.0501 data_time: 0.0023 memory: 1021 08/28 16:13:55 - mmengine - INFO - Epoch(val) [140][160/500] eta: 0:00:17 time: 0.0506 data_time: 0.0023 memory: 1021 08/28 16:13:55 - mmengine - INFO - Epoch(val) [140][165/500] eta: 0:00:17 time: 0.0481 data_time: 0.0024 memory: 1021 08/28 16:13:55 - mmengine - INFO - Epoch(val) [140][170/500] eta: 0:00:15 time: 0.0484 data_time: 0.0024 memory: 1021 08/28 16:13:55 - mmengine - INFO - Epoch(val) [140][175/500] eta: 0:00:15 time: 0.0456 data_time: 0.0023 memory: 1021 08/28 16:13:56 - mmengine - INFO - Epoch(val) [140][180/500] eta: 0:00:14 time: 0.0451 data_time: 0.0024 memory: 1021 08/28 16:13:56 - mmengine - INFO - Epoch(val) [140][185/500] eta: 0:00:14 time: 0.0481 data_time: 0.0025 memory: 1021 08/28 16:13:56 - mmengine - INFO - Epoch(val) [140][190/500] eta: 0:00:15 time: 0.0486 data_time: 0.0025 memory: 1021 08/28 16:13:56 - mmengine - INFO - Epoch(val) [140][195/500] eta: 0:00:15 time: 0.0457 data_time: 0.0024 memory: 1021 08/28 16:13:57 - mmengine - INFO - Epoch(val) [140][200/500] eta: 0:00:15 time: 0.0501 data_time: 0.0023 memory: 1021 08/28 16:13:57 - mmengine - INFO - Epoch(val) [140][205/500] eta: 0:00:15 time: 0.0500 data_time: 0.0022 memory: 1021 08/28 16:13:57 - mmengine - INFO - Epoch(val) [140][210/500] eta: 0:00:12 time: 0.0438 data_time: 0.0023 memory: 1021 08/28 16:13:57 - mmengine - INFO - Epoch(val) [140][215/500] eta: 0:00:12 time: 0.0465 data_time: 0.0026 memory: 1021 08/28 16:13:58 - mmengine - INFO - Epoch(val) [140][220/500] eta: 0:00:13 time: 0.0480 data_time: 0.0025 memory: 1021 08/28 16:13:58 - mmengine - INFO - Epoch(val) [140][225/500] eta: 0:00:13 time: 0.0467 data_time: 0.0023 memory: 1021 08/28 16:13:58 - mmengine - INFO - Epoch(val) [140][230/500] eta: 0:00:12 time: 0.0449 data_time: 0.0023 memory: 1021 08/28 16:13:58 - mmengine - INFO - Epoch(val) [140][235/500] eta: 0:00:12 time: 0.0449 data_time: 0.0022 memory: 1021 08/28 16:13:58 - mmengine - INFO - Epoch(val) [140][240/500] eta: 0:00:12 time: 0.0466 data_time: 0.0023 memory: 1021 08/28 16:13:59 - mmengine - INFO - Epoch(val) [140][245/500] eta: 0:00:12 time: 0.0449 data_time: 0.0023 memory: 1021 08/28 16:13:59 - mmengine - INFO - Epoch(val) [140][250/500] eta: 0:00:11 time: 0.0451 data_time: 0.0023 memory: 1021 08/28 16:13:59 - mmengine - INFO - Epoch(val) [140][255/500] eta: 0:00:11 time: 0.0450 data_time: 0.0023 memory: 1021 08/28 16:14:00 - mmengine - INFO - Epoch(val) [140][260/500] eta: 0:00:32 time: 0.1349 data_time: 0.0228 memory: 1021 08/28 16:14:00 - mmengine - INFO - Epoch(val) [140][265/500] eta: 0:00:32 time: 0.1367 data_time: 0.0242 memory: 1021 08/28 16:14:01 - mmengine - INFO - Epoch(val) [140][270/500] eta: 0:00:10 time: 0.0458 data_time: 0.0037 memory: 1021 08/28 16:14:01 - mmengine - INFO - Epoch(val) [140][275/500] eta: 0:00:10 time: 0.0438 data_time: 0.0023 memory: 1021 08/28 16:14:01 - mmengine - INFO - Epoch(val) [140][280/500] eta: 0:00:10 time: 0.0462 data_time: 0.0023 memory: 1021 08/28 16:14:01 - mmengine - INFO - Epoch(val) [140][285/500] eta: 0:00:10 time: 0.0518 data_time: 0.0073 memory: 1021 08/28 16:14:02 - mmengine - INFO - Epoch(val) [140][290/500] eta: 0:00:10 time: 0.0514 data_time: 0.0074 memory: 1021 08/28 16:14:02 - mmengine - INFO - Epoch(val) [140][295/500] eta: 0:00:10 time: 0.0473 data_time: 0.0025 memory: 1021 08/28 16:14:02 - mmengine - INFO - Epoch(val) [140][300/500] eta: 0:00:09 time: 0.0454 data_time: 0.0023 memory: 1021 08/28 16:14:02 - mmengine - INFO - Epoch(val) [140][305/500] eta: 0:00:09 time: 0.0444 data_time: 0.0023 memory: 1021 08/28 16:14:03 - mmengine - INFO - Epoch(val) [140][310/500] eta: 0:00:08 time: 0.0443 data_time: 0.0023 memory: 1021 08/28 16:14:03 - mmengine - INFO - Epoch(val) [140][315/500] eta: 0:00:08 time: 0.0480 data_time: 0.0023 memory: 1021 08/28 16:14:03 - mmengine - INFO - Epoch(val) [140][320/500] eta: 0:00:08 time: 0.0473 data_time: 0.0023 memory: 1021 08/28 16:14:03 - mmengine - INFO - Epoch(val) [140][325/500] eta: 0:00:08 time: 0.0551 data_time: 0.0023 memory: 1021 08/28 16:14:04 - mmengine - INFO - Epoch(val) [140][330/500] eta: 0:00:09 time: 0.0553 data_time: 0.0024 memory: 1021 08/28 16:14:04 - mmengine - INFO - Epoch(val) [140][335/500] eta: 0:00:09 time: 0.0438 data_time: 0.0024 memory: 1021 08/28 16:14:04 - mmengine - INFO - Epoch(val) [140][340/500] eta: 0:00:09 time: 0.0567 data_time: 0.0024 memory: 1021 08/28 16:14:04 - mmengine - INFO - Epoch(val) [140][345/500] eta: 0:00:09 time: 0.0579 data_time: 0.0023 memory: 1021 08/28 16:14:05 - mmengine - INFO - Epoch(val) [140][350/500] eta: 0:00:07 time: 0.0499 data_time: 0.0022 memory: 1021 08/28 16:14:05 - mmengine - INFO - Epoch(val) [140][355/500] eta: 0:00:07 time: 0.0484 data_time: 0.0024 memory: 1021 08/28 16:14:05 - mmengine - INFO - Epoch(val) [140][360/500] eta: 0:00:06 time: 0.0444 data_time: 0.0024 memory: 1021 08/28 16:14:05 - mmengine - INFO - Epoch(val) [140][365/500] eta: 0:00:06 time: 0.0453 data_time: 0.0024 memory: 1021 08/28 16:14:06 - mmengine - INFO - Epoch(val) [140][370/500] eta: 0:00:05 time: 0.0435 data_time: 0.0025 memory: 1021 08/28 16:14:06 - mmengine - INFO - Epoch(val) [140][375/500] eta: 0:00:05 time: 0.0426 data_time: 0.0024 memory: 1021 08/28 16:14:06 - mmengine - INFO - Epoch(val) [140][380/500] eta: 0:00:05 time: 0.0470 data_time: 0.0023 memory: 1021 08/28 16:14:06 - mmengine - INFO - Epoch(val) [140][385/500] eta: 0:00:05 time: 0.0485 data_time: 0.0024 memory: 1021 08/28 16:14:06 - mmengine - INFO - Epoch(val) [140][390/500] eta: 0:00:05 time: 0.0460 data_time: 0.0025 memory: 1021 08/28 16:14:07 - mmengine - INFO - Epoch(val) [140][395/500] eta: 0:00:05 time: 0.0457 data_time: 0.0023 memory: 1021 08/28 16:14:07 - mmengine - INFO - Epoch(val) [140][400/500] eta: 0:00:04 time: 0.0464 data_time: 0.0024 memory: 1021 08/28 16:14:07 - mmengine - INFO - Epoch(val) [140][405/500] eta: 0:00:04 time: 0.0469 data_time: 0.0027 memory: 1021 08/28 16:14:07 - mmengine - INFO - Epoch(val) [140][410/500] eta: 0:00:04 time: 0.0481 data_time: 0.0025 memory: 1021 08/28 16:14:08 - mmengine - INFO - Epoch(val) [140][415/500] eta: 0:00:04 time: 0.0468 data_time: 0.0022 memory: 1021 08/28 16:14:08 - mmengine - INFO - Epoch(val) [140][420/500] eta: 0:00:03 time: 0.0427 data_time: 0.0025 memory: 1021 08/28 16:14:08 - mmengine - INFO - Epoch(val) [140][425/500] eta: 0:00:03 time: 0.0424 data_time: 0.0025 memory: 1021 08/28 16:14:08 - mmengine - INFO - Epoch(val) [140][430/500] eta: 0:00:03 time: 0.0439 data_time: 0.0022 memory: 1021 08/28 16:14:09 - mmengine - INFO - Epoch(val) [140][435/500] eta: 0:00:03 time: 0.0445 data_time: 0.0022 memory: 1021 08/28 16:14:09 - mmengine - INFO - Epoch(val) [140][440/500] eta: 0:00:02 time: 0.0450 data_time: 0.0023 memory: 1021 08/28 16:14:09 - mmengine - INFO - Epoch(val) [140][445/500] eta: 0:00:02 time: 0.0469 data_time: 0.0023 memory: 1021 08/28 16:14:09 - mmengine - INFO - Epoch(val) [140][450/500] eta: 0:00:02 time: 0.0478 data_time: 0.0024 memory: 1021 08/28 16:14:09 - mmengine - INFO - Epoch(val) [140][455/500] eta: 0:00:02 time: 0.0466 data_time: 0.0027 memory: 1021 08/28 16:14:10 - mmengine - INFO - Epoch(val) [140][460/500] eta: 0:00:01 time: 0.0439 data_time: 0.0027 memory: 1021 08/28 16:14:10 - mmengine - INFO - Epoch(val) [140][465/500] eta: 0:00:01 time: 0.0434 data_time: 0.0025 memory: 1021 08/28 16:14:10 - mmengine - INFO - Epoch(val) [140][470/500] eta: 0:00:01 time: 0.0442 data_time: 0.0024 memory: 1021 08/28 16:14:10 - mmengine - INFO - Epoch(val) [140][475/500] eta: 0:00:01 time: 0.0433 data_time: 0.0023 memory: 1021 08/28 16:14:11 - mmengine - INFO - Epoch(val) [140][480/500] eta: 0:00:00 time: 0.0440 data_time: 0.0024 memory: 1021 08/28 16:14:11 - mmengine - INFO - Epoch(val) [140][485/500] eta: 0:00:00 time: 0.0449 data_time: 0.0023 memory: 1021 08/28 16:14:11 - mmengine - INFO - Epoch(val) [140][490/500] eta: 0:00:00 time: 0.0467 data_time: 0.0023 memory: 1021 08/28 16:14:11 - mmengine - INFO - Epoch(val) [140][495/500] eta: 0:00:00 time: 0.0483 data_time: 0.0023 memory: 1021 08/28 16:14:11 - mmengine - INFO - Epoch(val) [140][500/500] eta: 0:00:00 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 16:14:11 - mmengine - INFO - Evaluating hmean-iou... 08/28 16:14:12 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8151, precision: 0.7007, hmean: 0.7536 08/28 16:14:12 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8151, precision: 0.7647, hmean: 0.7891 08/28 16:14:12 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8132, precision: 0.8132, hmean: 0.8132 08/28 16:14:12 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8031, precision: 0.8502, hmean: 0.8259 08/28 16:14:12 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7660, precision: 0.8903, hmean: 0.8235 08/28 16:14:12 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.4449, precision: 0.9477, hmean: 0.6055 08/28 16:14:12 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0082, precision: 0.8500, hmean: 0.0162 08/28 16:14:12 - mmengine - INFO - Epoch(val) [140][500/500] icdar/precision: 0.8502 icdar/recall: 0.8031 icdar/hmean: 0.8259 08/28 16:14:18 - mmengine - INFO - Epoch(train) [141][5/63] lr: 6.2599e-03 eta: 0:00:00 time: 0.9678 data_time: 0.2252 memory: 14974 loss_prob: 0.9527 loss_thr: 0.5399 loss_db: 0.1527 loss: 1.6453 08/28 16:14:24 - mmengine - INFO - Epoch(train) [141][10/63] lr: 6.2599e-03 eta: 17:34:07 time: 1.0944 data_time: 0.1956 memory: 14974 loss_prob: 0.9060 loss_thr: 0.5384 loss_db: 0.1499 loss: 1.5942 08/28 16:14:28 - mmengine - INFO - Epoch(train) [141][15/63] lr: 6.2599e-03 eta: 17:34:07 time: 1.0410 data_time: 0.1252 memory: 14974 loss_prob: 0.8980 loss_thr: 0.5200 loss_db: 0.1472 loss: 1.5652 08/28 16:14:33 - mmengine - INFO - Epoch(train) [141][20/63] lr: 6.2599e-03 eta: 17:33:53 time: 0.8965 data_time: 0.1196 memory: 14974 loss_prob: 0.8966 loss_thr: 0.5211 loss_db: 0.1464 loss: 1.5640 08/28 16:14:37 - mmengine - INFO - Epoch(train) [141][25/63] lr: 6.2599e-03 eta: 17:33:53 time: 0.8055 data_time: 0.0744 memory: 14974 loss_prob: 0.9597 loss_thr: 0.5404 loss_db: 0.1555 loss: 1.6556 08/28 16:14:44 - mmengine - INFO - Epoch(train) [141][30/63] lr: 6.2599e-03 eta: 17:33:55 time: 1.1020 data_time: 0.1289 memory: 14974 loss_prob: 0.9678 loss_thr: 0.5395 loss_db: 0.1602 loss: 1.6675 08/28 16:14:47 - mmengine - INFO - Epoch(train) [141][35/63] lr: 6.2599e-03 eta: 17:33:55 time: 1.0782 data_time: 0.1062 memory: 14974 loss_prob: 0.9812 loss_thr: 0.5496 loss_db: 0.1638 loss: 1.6946 08/28 16:14:55 - mmengine - INFO - Epoch(train) [141][40/63] lr: 6.2599e-03 eta: 17:34:00 time: 1.1312 data_time: 0.0719 memory: 14974 loss_prob: 1.0889 loss_thr: 0.5781 loss_db: 0.1782 loss: 1.8452 08/28 16:14:59 - mmengine - INFO - Epoch(train) [141][45/63] lr: 6.2599e-03 eta: 17:34:00 time: 1.1319 data_time: 0.0719 memory: 14974 loss_prob: 1.0423 loss_thr: 0.5686 loss_db: 0.1705 loss: 1.7814 08/28 16:15:03 - mmengine - INFO - Epoch(train) [141][50/63] lr: 6.2599e-03 eta: 17:33:41 time: 0.8292 data_time: 0.0711 memory: 14974 loss_prob: 1.0231 loss_thr: 0.5552 loss_db: 0.1624 loss: 1.7407 08/28 16:15:08 - mmengine - INFO - Epoch(train) [141][55/63] lr: 6.2599e-03 eta: 17:33:41 time: 0.8988 data_time: 0.0891 memory: 14974 loss_prob: 1.0436 loss_thr: 0.5544 loss_db: 0.1695 loss: 1.7675 08/28 16:15:13 - mmengine - INFO - Epoch(train) [141][60/63] lr: 6.2599e-03 eta: 17:33:34 time: 0.9777 data_time: 0.0571 memory: 14974 loss_prob: 0.9774 loss_thr: 0.5277 loss_db: 0.1609 loss: 1.6660 08/28 16:15:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:15:21 - mmengine - INFO - Epoch(train) [142][5/63] lr: 6.2546e-03 eta: 17:33:34 time: 1.0140 data_time: 0.2649 memory: 14974 loss_prob: 1.1661 loss_thr: 0.5834 loss_db: 0.1850 loss: 1.9345 08/28 16:15:25 - mmengine - INFO - Epoch(train) [142][10/63] lr: 6.2546e-03 eta: 17:33:04 time: 0.9954 data_time: 0.2420 memory: 14974 loss_prob: 1.1287 loss_thr: 0.5873 loss_db: 0.1834 loss: 1.8994 08/28 16:15:29 - mmengine - INFO - Epoch(train) [142][15/63] lr: 6.2546e-03 eta: 17:33:04 time: 0.7918 data_time: 0.0725 memory: 14974 loss_prob: 0.9837 loss_thr: 0.5463 loss_db: 0.1680 loss: 1.6980 08/28 16:15:42 - mmengine - INFO - Epoch(train) [142][20/63] lr: 6.2546e-03 eta: 17:33:45 time: 1.6230 data_time: 0.1284 memory: 14974 loss_prob: 1.0225 loss_thr: 0.5617 loss_db: 0.1724 loss: 1.7566 08/28 16:15:45 - mmengine - INFO - Epoch(train) [142][25/63] lr: 6.2546e-03 eta: 17:33:45 time: 1.6236 data_time: 0.1200 memory: 14974 loss_prob: 1.1102 loss_thr: 0.6081 loss_db: 0.1841 loss: 1.9023 08/28 16:15:49 - mmengine - INFO - Epoch(train) [142][30/63] lr: 6.2546e-03 eta: 17:33:22 time: 0.7640 data_time: 0.0330 memory: 14974 loss_prob: 1.1168 loss_thr: 0.6125 loss_db: 0.1854 loss: 1.9147 08/28 16:15:58 - mmengine - INFO - Epoch(train) [142][35/63] lr: 6.2546e-03 eta: 17:33:22 time: 1.2922 data_time: 0.0626 memory: 14974 loss_prob: 1.0965 loss_thr: 0.5971 loss_db: 0.1771 loss: 1.8706 08/28 16:16:04 - mmengine - INFO - Epoch(train) [142][40/63] lr: 6.2546e-03 eta: 17:33:53 time: 1.4951 data_time: 0.0608 memory: 14974 loss_prob: 1.0079 loss_thr: 0.5612 loss_db: 0.1618 loss: 1.7308 08/28 16:16:08 - mmengine - INFO - Epoch(train) [142][45/63] lr: 6.2546e-03 eta: 17:33:53 time: 0.9632 data_time: 0.0261 memory: 14974 loss_prob: 0.9120 loss_thr: 0.5373 loss_db: 0.1500 loss: 1.5993 08/28 16:16:12 - mmengine - INFO - Epoch(train) [142][50/63] lr: 6.2546e-03 eta: 17:33:32 time: 0.7897 data_time: 0.0393 memory: 14974 loss_prob: 0.9534 loss_thr: 0.5431 loss_db: 0.1569 loss: 1.6535 08/28 16:16:16 - mmengine - INFO - Epoch(train) [142][55/63] lr: 6.2546e-03 eta: 17:33:32 time: 0.8372 data_time: 0.0721 memory: 14974 loss_prob: 1.1069 loss_thr: 0.5550 loss_db: 0.1774 loss: 1.8393 08/28 16:16:22 - mmengine - INFO - Epoch(train) [142][60/63] lr: 6.2546e-03 eta: 17:33:22 time: 0.9448 data_time: 0.0816 memory: 14974 loss_prob: 1.1396 loss_thr: 0.5761 loss_db: 0.1884 loss: 1.9041 08/28 16:16:24 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:16:29 - mmengine - INFO - Epoch(train) [143][5/63] lr: 6.2493e-03 eta: 17:33:22 time: 1.0262 data_time: 0.2123 memory: 14974 loss_prob: 1.1276 loss_thr: 0.5949 loss_db: 0.1758 loss: 1.8983 08/28 16:16:34 - mmengine - INFO - Epoch(train) [143][10/63] lr: 6.2493e-03 eta: 17:32:52 time: 0.9948 data_time: 0.2428 memory: 14974 loss_prob: 1.1216 loss_thr: 0.5915 loss_db: 0.1759 loss: 1.8890 08/28 16:16:39 - mmengine - INFO - Epoch(train) [143][15/63] lr: 6.2493e-03 eta: 17:32:52 time: 0.9900 data_time: 0.1208 memory: 14974 loss_prob: 1.0926 loss_thr: 0.5857 loss_db: 0.1776 loss: 1.8560 08/28 16:16:44 - mmengine - INFO - Epoch(train) [143][20/63] lr: 6.2493e-03 eta: 17:32:47 time: 0.9966 data_time: 0.0810 memory: 14974 loss_prob: 1.0252 loss_thr: 0.5636 loss_db: 0.1623 loss: 1.7511 08/28 16:16:48 - mmengine - INFO - Epoch(train) [143][25/63] lr: 6.2493e-03 eta: 17:32:47 time: 0.9291 data_time: 0.1261 memory: 14974 loss_prob: 0.9111 loss_thr: 0.5306 loss_db: 0.1449 loss: 1.5866 08/28 16:16:52 - mmengine - INFO - Epoch(train) [143][30/63] lr: 6.2493e-03 eta: 17:32:31 time: 0.8661 data_time: 0.1297 memory: 14974 loss_prob: 0.8188 loss_thr: 0.4933 loss_db: 0.1351 loss: 1.4471 08/28 16:16:58 - mmengine - INFO - Epoch(train) [143][35/63] lr: 6.2493e-03 eta: 17:32:31 time: 0.9294 data_time: 0.0638 memory: 14974 loss_prob: 0.9494 loss_thr: 0.5310 loss_db: 0.1564 loss: 1.6367 08/28 16:17:02 - mmengine - INFO - Epoch(train) [143][40/63] lr: 6.2493e-03 eta: 17:32:23 time: 0.9614 data_time: 0.0906 memory: 14974 loss_prob: 1.0280 loss_thr: 0.5760 loss_db: 0.1669 loss: 1.7709 08/28 16:17:06 - mmengine - INFO - Epoch(train) [143][45/63] lr: 6.2493e-03 eta: 17:32:23 time: 0.8559 data_time: 0.0966 memory: 14974 loss_prob: 0.9670 loss_thr: 0.5416 loss_db: 0.1629 loss: 1.6716 08/28 16:17:11 - mmengine - INFO - Epoch(train) [143][50/63] lr: 6.2493e-03 eta: 17:32:07 time: 0.8674 data_time: 0.0514 memory: 14974 loss_prob: 0.9881 loss_thr: 0.5506 loss_db: 0.1675 loss: 1.7062 08/28 16:17:14 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:17:15 - mmengine - INFO - Epoch(train) [143][55/63] lr: 6.2493e-03 eta: 17:32:07 time: 0.9045 data_time: 0.1002 memory: 14974 loss_prob: 1.0211 loss_thr: 0.5697 loss_db: 0.1600 loss: 1.7508 08/28 16:17:19 - mmengine - INFO - Epoch(train) [143][60/63] lr: 6.2493e-03 eta: 17:31:50 time: 0.8427 data_time: 0.1061 memory: 14974 loss_prob: 1.0714 loss_thr: 0.5740 loss_db: 0.1700 loss: 1.8154 08/28 16:17:23 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:17:28 - mmengine - INFO - Epoch(train) [144][5/63] lr: 6.2439e-03 eta: 17:31:50 time: 1.0333 data_time: 0.2038 memory: 14974 loss_prob: 0.9333 loss_thr: 0.5228 loss_db: 0.1531 loss: 1.6092 08/28 16:17:32 - mmengine - INFO - Epoch(train) [144][10/63] lr: 6.2439e-03 eta: 17:31:18 time: 0.9612 data_time: 0.2247 memory: 14974 loss_prob: 0.9629 loss_thr: 0.5629 loss_db: 0.1601 loss: 1.6859 08/28 16:17:36 - mmengine - INFO - Epoch(train) [144][15/63] lr: 6.2439e-03 eta: 17:31:18 time: 0.8284 data_time: 0.0828 memory: 14974 loss_prob: 0.9325 loss_thr: 0.5482 loss_db: 0.1566 loss: 1.6374 08/28 16:17:41 - mmengine - INFO - Epoch(train) [144][20/63] lr: 6.2439e-03 eta: 17:31:01 time: 0.8506 data_time: 0.0616 memory: 14974 loss_prob: 0.9194 loss_thr: 0.5388 loss_db: 0.1498 loss: 1.6079 08/28 16:17:46 - mmengine - INFO - Epoch(train) [144][25/63] lr: 6.2439e-03 eta: 17:31:01 time: 0.9326 data_time: 0.1327 memory: 14974 loss_prob: 0.9301 loss_thr: 0.5547 loss_db: 0.1487 loss: 1.6336 08/28 16:17:49 - mmengine - INFO - Epoch(train) [144][30/63] lr: 6.2439e-03 eta: 17:30:46 time: 0.8750 data_time: 0.1264 memory: 14974 loss_prob: 1.0078 loss_thr: 0.5872 loss_db: 0.1658 loss: 1.7608 08/28 16:17:54 - mmengine - INFO - Epoch(train) [144][35/63] lr: 6.2439e-03 eta: 17:30:46 time: 0.8790 data_time: 0.0676 memory: 14974 loss_prob: 1.0950 loss_thr: 0.5961 loss_db: 0.1770 loss: 1.8681 08/28 16:18:00 - mmengine - INFO - Epoch(train) [144][40/63] lr: 6.2439e-03 eta: 17:30:42 time: 1.0261 data_time: 0.1341 memory: 14974 loss_prob: 1.0030 loss_thr: 0.5397 loss_db: 0.1602 loss: 1.7029 08/28 16:18:04 - mmengine - INFO - Epoch(train) [144][45/63] lr: 6.2439e-03 eta: 17:30:42 time: 0.9421 data_time: 0.1262 memory: 14974 loss_prob: 0.9513 loss_thr: 0.5139 loss_db: 0.1540 loss: 1.6192 08/28 16:18:08 - mmengine - INFO - Epoch(train) [144][50/63] lr: 6.2439e-03 eta: 17:30:22 time: 0.7992 data_time: 0.0664 memory: 14974 loss_prob: 1.0007 loss_thr: 0.5453 loss_db: 0.1611 loss: 1.7070 08/28 16:18:14 - mmengine - INFO - Epoch(train) [144][55/63] lr: 6.2439e-03 eta: 17:30:22 time: 1.0004 data_time: 0.1344 memory: 14974 loss_prob: 0.9973 loss_thr: 0.5584 loss_db: 0.1617 loss: 1.7174 08/28 16:18:18 - mmengine - INFO - Epoch(train) [144][60/63] lr: 6.2439e-03 eta: 17:30:20 time: 1.0468 data_time: 0.1271 memory: 14974 loss_prob: 1.0729 loss_thr: 0.5814 loss_db: 0.1762 loss: 1.8306 08/28 16:18:21 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:18:27 - mmengine - INFO - Epoch(train) [145][5/63] lr: 6.2386e-03 eta: 17:30:20 time: 1.0324 data_time: 0.2304 memory: 14974 loss_prob: 1.0107 loss_thr: 0.5589 loss_db: 0.1655 loss: 1.7350 08/28 16:18:31 - mmengine - INFO - Epoch(train) [145][10/63] lr: 6.2386e-03 eta: 17:29:52 time: 1.0139 data_time: 0.1821 memory: 14974 loss_prob: 0.9771 loss_thr: 0.5380 loss_db: 0.1608 loss: 1.6759 08/28 16:18:35 - mmengine - INFO - Epoch(train) [145][15/63] lr: 6.2386e-03 eta: 17:29:52 time: 0.8237 data_time: 0.0990 memory: 14974 loss_prob: 1.0365 loss_thr: 0.5567 loss_db: 0.1636 loss: 1.7568 08/28 16:18:40 - mmengine - INFO - Epoch(train) [145][20/63] lr: 6.2386e-03 eta: 17:29:41 time: 0.9294 data_time: 0.1091 memory: 14974 loss_prob: 1.0089 loss_thr: 0.5687 loss_db: 0.1629 loss: 1.7405 08/28 16:18:44 - mmengine - INFO - Epoch(train) [145][25/63] lr: 6.2386e-03 eta: 17:29:41 time: 0.9044 data_time: 0.0649 memory: 14974 loss_prob: 0.9643 loss_thr: 0.5616 loss_db: 0.1575 loss: 1.6835 08/28 16:18:48 - mmengine - INFO - Epoch(train) [145][30/63] lr: 6.2386e-03 eta: 17:29:22 time: 0.8205 data_time: 0.0768 memory: 14974 loss_prob: 0.9307 loss_thr: 0.5393 loss_db: 0.1511 loss: 1.6211 08/28 16:18:53 - mmengine - INFO - Epoch(train) [145][35/63] lr: 6.2386e-03 eta: 17:29:22 time: 0.8269 data_time: 0.0648 memory: 14974 loss_prob: 0.8219 loss_thr: 0.4856 loss_db: 0.1365 loss: 1.4441 08/28 16:18:56 - mmengine - INFO - Epoch(train) [145][40/63] lr: 6.2386e-03 eta: 17:29:02 time: 0.8035 data_time: 0.0399 memory: 14974 loss_prob: 0.8827 loss_thr: 0.5075 loss_db: 0.1469 loss: 1.5371 08/28 16:19:01 - mmengine - INFO - Epoch(train) [145][45/63] lr: 6.2386e-03 eta: 17:29:02 time: 0.8715 data_time: 0.1081 memory: 14974 loss_prob: 0.9622 loss_thr: 0.5401 loss_db: 0.1596 loss: 1.6620 08/28 16:19:05 - mmengine - INFO - Epoch(train) [145][50/63] lr: 6.2386e-03 eta: 17:28:49 time: 0.8912 data_time: 0.1318 memory: 14974 loss_prob: 0.9076 loss_thr: 0.5314 loss_db: 0.1509 loss: 1.5899 08/28 16:19:09 - mmengine - INFO - Epoch(train) [145][55/63] lr: 6.2386e-03 eta: 17:28:49 time: 0.7969 data_time: 0.0747 memory: 14974 loss_prob: 0.9074 loss_thr: 0.5443 loss_db: 0.1517 loss: 1.6034 08/28 16:19:15 - mmengine - INFO - Epoch(train) [145][60/63] lr: 6.2386e-03 eta: 17:28:38 time: 0.9343 data_time: 0.1399 memory: 14974 loss_prob: 0.9668 loss_thr: 0.5470 loss_db: 0.1614 loss: 1.6752 08/28 16:19:17 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:19:23 - mmengine - INFO - Epoch(train) [146][5/63] lr: 6.2333e-03 eta: 17:28:38 time: 0.9581 data_time: 0.1933 memory: 14974 loss_prob: 0.9832 loss_thr: 0.5517 loss_db: 0.1604 loss: 1.6953 08/28 16:19:27 - mmengine - INFO - Epoch(train) [146][10/63] lr: 6.2333e-03 eta: 17:28:08 time: 0.9867 data_time: 0.2470 memory: 14974 loss_prob: 1.0195 loss_thr: 0.5614 loss_db: 0.1668 loss: 1.7478 08/28 16:19:32 - mmengine - INFO - Epoch(train) [146][15/63] lr: 6.2333e-03 eta: 17:28:08 time: 0.9013 data_time: 0.1229 memory: 14974 loss_prob: 0.9871 loss_thr: 0.5613 loss_db: 0.1613 loss: 1.7098 08/28 16:19:36 - mmengine - INFO - Epoch(train) [146][20/63] lr: 6.2333e-03 eta: 17:27:57 time: 0.9130 data_time: 0.0636 memory: 14974 loss_prob: 0.8844 loss_thr: 0.5425 loss_db: 0.1464 loss: 1.5733 08/28 16:19:41 - mmengine - INFO - Epoch(train) [146][25/63] lr: 6.2333e-03 eta: 17:27:57 time: 0.9333 data_time: 0.0897 memory: 14974 loss_prob: 0.9085 loss_thr: 0.5404 loss_db: 0.1507 loss: 1.5996 08/28 16:19:45 - mmengine - INFO - Epoch(train) [146][30/63] lr: 6.2333e-03 eta: 17:27:40 time: 0.8548 data_time: 0.0923 memory: 14974 loss_prob: 0.8956 loss_thr: 0.5151 loss_db: 0.1470 loss: 1.5577 08/28 16:19:49 - mmengine - INFO - Epoch(train) [146][35/63] lr: 6.2333e-03 eta: 17:27:40 time: 0.8094 data_time: 0.0521 memory: 14974 loss_prob: 0.9360 loss_thr: 0.5394 loss_db: 0.1567 loss: 1.6320 08/28 16:19:53 - mmengine - INFO - Epoch(train) [146][40/63] lr: 6.2333e-03 eta: 17:27:24 time: 0.8494 data_time: 0.0935 memory: 14974 loss_prob: 0.9875 loss_thr: 0.5478 loss_db: 0.1651 loss: 1.7005 08/28 16:19:57 - mmengine - INFO - Epoch(train) [146][45/63] lr: 6.2333e-03 eta: 17:27:24 time: 0.8387 data_time: 0.1048 memory: 14974 loss_prob: 1.0010 loss_thr: 0.5527 loss_db: 0.1626 loss: 1.7163 08/28 16:20:02 - mmengine - INFO - Epoch(train) [146][50/63] lr: 6.2333e-03 eta: 17:27:09 time: 0.8754 data_time: 0.0684 memory: 14974 loss_prob: 1.0054 loss_thr: 0.5630 loss_db: 0.1664 loss: 1.7348 08/28 16:20:06 - mmengine - INFO - Epoch(train) [146][55/63] lr: 6.2333e-03 eta: 17:27:09 time: 0.8970 data_time: 0.0839 memory: 14974 loss_prob: 1.0097 loss_thr: 0.5591 loss_db: 0.1675 loss: 1.7363 08/28 16:20:10 - mmengine - INFO - Epoch(train) [146][60/63] lr: 6.2333e-03 eta: 17:26:51 time: 0.8158 data_time: 0.0663 memory: 14974 loss_prob: 0.9536 loss_thr: 0.5588 loss_db: 0.1578 loss: 1.6701 08/28 16:20:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:20:18 - mmengine - INFO - Epoch(train) [147][5/63] lr: 6.2280e-03 eta: 17:26:51 time: 0.9415 data_time: 0.1955 memory: 14974 loss_prob: 1.0424 loss_thr: 0.5620 loss_db: 0.1711 loss: 1.7755 08/28 16:20:23 - mmengine - INFO - Epoch(train) [147][10/63] lr: 6.2280e-03 eta: 17:26:24 time: 1.0326 data_time: 0.2835 memory: 14974 loss_prob: 0.9553 loss_thr: 0.5364 loss_db: 0.1588 loss: 1.6505 08/28 16:20:27 - mmengine - INFO - Epoch(train) [147][15/63] lr: 6.2280e-03 eta: 17:26:24 time: 0.8648 data_time: 0.1378 memory: 14974 loss_prob: 1.0894 loss_thr: 0.5367 loss_db: 0.1788 loss: 1.8049 08/28 16:20:31 - mmengine - INFO - Epoch(train) [147][20/63] lr: 6.2280e-03 eta: 17:26:05 time: 0.8105 data_time: 0.0619 memory: 14974 loss_prob: 1.2494 loss_thr: 0.5441 loss_db: 0.1998 loss: 1.9933 08/28 16:20:36 - mmengine - INFO - Epoch(train) [147][25/63] lr: 6.2280e-03 eta: 17:26:05 time: 0.9046 data_time: 0.1179 memory: 14974 loss_prob: 1.1783 loss_thr: 0.5358 loss_db: 0.1808 loss: 1.8949 08/28 16:20:41 - mmengine - INFO - Epoch(train) [147][30/63] lr: 6.2280e-03 eta: 17:25:57 time: 0.9746 data_time: 0.1300 memory: 14974 loss_prob: 1.2922 loss_thr: 0.5682 loss_db: 0.2075 loss: 2.0679 08/28 16:20:45 - mmengine - INFO - Epoch(train) [147][35/63] lr: 6.2280e-03 eta: 17:25:57 time: 0.9044 data_time: 0.0912 memory: 14974 loss_prob: 1.5262 loss_thr: 0.6334 loss_db: 0.2454 loss: 2.4050 08/28 16:20:49 - mmengine - INFO - Epoch(train) [147][40/63] lr: 6.2280e-03 eta: 17:25:43 time: 0.8757 data_time: 0.1359 memory: 14974 loss_prob: 1.3930 loss_thr: 0.6517 loss_db: 0.2200 loss: 2.2647 08/28 16:20:55 - mmengine - INFO - Epoch(train) [147][45/63] lr: 6.2280e-03 eta: 17:25:43 time: 1.0116 data_time: 0.1236 memory: 14974 loss_prob: 1.3100 loss_thr: 0.6395 loss_db: 0.2129 loss: 2.1624 08/28 16:20:59 - mmengine - INFO - Epoch(train) [147][50/63] lr: 6.2280e-03 eta: 17:25:37 time: 0.9992 data_time: 0.0704 memory: 14974 loss_prob: 1.2079 loss_thr: 0.5969 loss_db: 0.1954 loss: 2.0002 08/28 16:21:04 - mmengine - INFO - Epoch(train) [147][55/63] lr: 6.2280e-03 eta: 17:25:37 time: 0.8660 data_time: 0.0816 memory: 14974 loss_prob: 1.1059 loss_thr: 0.5737 loss_db: 0.1765 loss: 1.8561 08/28 16:21:08 - mmengine - INFO - Epoch(train) [147][60/63] lr: 6.2280e-03 eta: 17:25:23 time: 0.8728 data_time: 0.0747 memory: 14974 loss_prob: 1.1243 loss_thr: 0.5899 loss_db: 0.1827 loss: 1.8969 08/28 16:21:10 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:21:16 - mmengine - INFO - Epoch(train) [148][5/63] lr: 6.2227e-03 eta: 17:25:23 time: 0.8922 data_time: 0.1969 memory: 14974 loss_prob: 1.0746 loss_thr: 0.5852 loss_db: 0.1746 loss: 1.8344 08/28 16:21:20 - mmengine - INFO - Epoch(train) [148][10/63] lr: 6.2227e-03 eta: 17:24:50 time: 0.9375 data_time: 0.2116 memory: 14974 loss_prob: 1.1072 loss_thr: 0.5838 loss_db: 0.1835 loss: 1.8744 08/28 16:21:24 - mmengine - INFO - Epoch(train) [148][15/63] lr: 6.2227e-03 eta: 17:24:50 time: 0.8520 data_time: 0.0894 memory: 14974 loss_prob: 1.0323 loss_thr: 0.5504 loss_db: 0.1725 loss: 1.7553 08/28 16:21:28 - mmengine - INFO - Epoch(train) [148][20/63] lr: 6.2227e-03 eta: 17:24:33 time: 0.8495 data_time: 0.0559 memory: 14974 loss_prob: 0.9980 loss_thr: 0.5439 loss_db: 0.1607 loss: 1.7025 08/28 16:21:32 - mmengine - INFO - Epoch(train) [148][25/63] lr: 6.2227e-03 eta: 17:24:33 time: 0.8152 data_time: 0.0609 memory: 14974 loss_prob: 1.0230 loss_thr: 0.5701 loss_db: 0.1633 loss: 1.7565 08/28 16:21:37 - mmengine - INFO - Epoch(train) [148][30/63] lr: 6.2227e-03 eta: 17:24:16 time: 0.8367 data_time: 0.0716 memory: 14974 loss_prob: 1.2115 loss_thr: 0.6162 loss_db: 0.1915 loss: 2.0192 08/28 16:21:41 - mmengine - INFO - Epoch(train) [148][35/63] lr: 6.2227e-03 eta: 17:24:16 time: 0.8690 data_time: 0.0764 memory: 14974 loss_prob: 1.3019 loss_thr: 0.6314 loss_db: 0.2105 loss: 2.1439 08/28 16:21:45 - mmengine - INFO - Epoch(train) [148][40/63] lr: 6.2227e-03 eta: 17:24:01 time: 0.8587 data_time: 0.1073 memory: 14974 loss_prob: 1.1831 loss_thr: 0.5891 loss_db: 0.1983 loss: 1.9706 08/28 16:21:49 - mmengine - INFO - Epoch(train) [148][45/63] lr: 6.2227e-03 eta: 17:24:01 time: 0.8581 data_time: 0.1262 memory: 14974 loss_prob: 1.1922 loss_thr: 0.6052 loss_db: 0.1999 loss: 1.9973 08/28 16:21:54 - mmengine - INFO - Epoch(train) [148][50/63] lr: 6.2227e-03 eta: 17:23:47 time: 0.8899 data_time: 0.0986 memory: 14974 loss_prob: 1.1283 loss_thr: 0.5925 loss_db: 0.1811 loss: 1.9018 08/28 16:21:59 - mmengine - INFO - Epoch(train) [148][55/63] lr: 6.2227e-03 eta: 17:23:47 time: 0.9604 data_time: 0.1057 memory: 14974 loss_prob: 1.1136 loss_thr: 0.5606 loss_db: 0.1723 loss: 1.8464 08/28 16:22:05 - mmengine - INFO - Epoch(train) [148][60/63] lr: 6.2227e-03 eta: 17:23:45 time: 1.0436 data_time: 0.1234 memory: 14974 loss_prob: 1.1388 loss_thr: 0.5673 loss_db: 0.1825 loss: 1.8887 08/28 16:22:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:22:12 - mmengine - INFO - Epoch(train) [149][5/63] lr: 6.2173e-03 eta: 17:23:45 time: 0.9151 data_time: 0.2198 memory: 14974 loss_prob: 1.0484 loss_thr: 0.5631 loss_db: 0.1718 loss: 1.7832 08/28 16:22:17 - mmengine - INFO - Epoch(train) [149][10/63] lr: 6.2173e-03 eta: 17:23:15 time: 0.9828 data_time: 0.1998 memory: 14974 loss_prob: 1.0533 loss_thr: 0.5555 loss_db: 0.1776 loss: 1.7864 08/28 16:22:23 - mmengine - INFO - Epoch(train) [149][15/63] lr: 6.2173e-03 eta: 17:23:15 time: 1.0756 data_time: 0.1066 memory: 14974 loss_prob: 1.0332 loss_thr: 0.5631 loss_db: 0.1662 loss: 1.7625 08/28 16:22:27 - mmengine - INFO - Epoch(train) [149][20/63] lr: 6.2173e-03 eta: 17:23:10 time: 1.0109 data_time: 0.0922 memory: 14974 loss_prob: 1.0210 loss_thr: 0.5656 loss_db: 0.1614 loss: 1.7480 08/28 16:22:32 - mmengine - INFO - Epoch(train) [149][25/63] lr: 6.2173e-03 eta: 17:23:10 time: 0.9217 data_time: 0.0755 memory: 14974 loss_prob: 1.0404 loss_thr: 0.5767 loss_db: 0.1710 loss: 1.7880 08/28 16:22:36 - mmengine - INFO - Epoch(train) [149][30/63] lr: 6.2173e-03 eta: 17:23:00 time: 0.9360 data_time: 0.0728 memory: 14974 loss_prob: 1.0307 loss_thr: 0.5682 loss_db: 0.1673 loss: 1.7662 08/28 16:22:41 - mmengine - INFO - Epoch(train) [149][35/63] lr: 6.2173e-03 eta: 17:23:00 time: 0.8685 data_time: 0.0884 memory: 14974 loss_prob: 1.0551 loss_thr: 0.5646 loss_db: 0.1704 loss: 1.7901 08/28 16:22:45 - mmengine - INFO - Epoch(train) [149][40/63] lr: 6.2173e-03 eta: 17:22:46 time: 0.8817 data_time: 0.0991 memory: 14974 loss_prob: 1.0955 loss_thr: 0.5723 loss_db: 0.1765 loss: 1.8443 08/28 16:22:49 - mmengine - INFO - Epoch(train) [149][45/63] lr: 6.2173e-03 eta: 17:22:46 time: 0.8407 data_time: 0.0888 memory: 14974 loss_prob: 0.9855 loss_thr: 0.5355 loss_db: 0.1558 loss: 1.6768 08/28 16:22:53 - mmengine - INFO - Epoch(train) [149][50/63] lr: 6.2173e-03 eta: 17:22:28 time: 0.8197 data_time: 0.0664 memory: 14974 loss_prob: 0.9342 loss_thr: 0.5232 loss_db: 0.1505 loss: 1.6079 08/28 16:22:58 - mmengine - INFO - Epoch(train) [149][55/63] lr: 6.2173e-03 eta: 17:22:28 time: 0.8388 data_time: 0.0619 memory: 14974 loss_prob: 0.9585 loss_thr: 0.5370 loss_db: 0.1535 loss: 1.6490 08/28 16:23:02 - mmengine - INFO - Epoch(train) [149][60/63] lr: 6.2173e-03 eta: 17:22:13 time: 0.8677 data_time: 0.0842 memory: 14974 loss_prob: 0.9219 loss_thr: 0.5465 loss_db: 0.1491 loss: 1.6175 08/28 16:23:04 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:23:10 - mmengine - INFO - Epoch(train) [150][5/63] lr: 6.2120e-03 eta: 17:22:13 time: 0.9019 data_time: 0.2014 memory: 14974 loss_prob: 1.0653 loss_thr: 0.5697 loss_db: 0.1739 loss: 1.8089 08/28 16:23:14 - mmengine - INFO - Epoch(train) [150][10/63] lr: 6.2120e-03 eta: 17:21:40 time: 0.9338 data_time: 0.2066 memory: 14974 loss_prob: 1.0090 loss_thr: 0.5594 loss_db: 0.1685 loss: 1.7369 08/28 16:23:18 - mmengine - INFO - Epoch(train) [150][15/63] lr: 6.2120e-03 eta: 17:21:40 time: 0.8824 data_time: 0.1332 memory: 14974 loss_prob: 0.9612 loss_thr: 0.5323 loss_db: 0.1566 loss: 1.6501 08/28 16:23:24 - mmengine - INFO - Epoch(train) [150][20/63] lr: 6.2120e-03 eta: 17:21:35 time: 1.0072 data_time: 0.1014 memory: 14974 loss_prob: 0.9778 loss_thr: 0.5605 loss_db: 0.1601 loss: 1.6985 08/28 16:23:28 - mmengine - INFO - Epoch(train) [150][25/63] lr: 6.2120e-03 eta: 17:21:35 time: 1.0061 data_time: 0.1207 memory: 14974 loss_prob: 1.1413 loss_thr: 0.6011 loss_db: 0.1746 loss: 1.9171 08/28 16:23:33 - mmengine - INFO - Epoch(train) [150][30/63] lr: 6.2120e-03 eta: 17:21:23 time: 0.9085 data_time: 0.1188 memory: 14974 loss_prob: 1.0899 loss_thr: 0.5610 loss_db: 0.1676 loss: 1.8186 08/28 16:23:37 - mmengine - INFO - Epoch(train) [150][35/63] lr: 6.2120e-03 eta: 17:21:23 time: 0.8486 data_time: 0.0642 memory: 14974 loss_prob: 0.9063 loss_thr: 0.5359 loss_db: 0.1519 loss: 1.5941 08/28 16:23:41 - mmengine - INFO - Epoch(train) [150][40/63] lr: 6.2120e-03 eta: 17:21:07 time: 0.8462 data_time: 0.0950 memory: 14974 loss_prob: 0.9496 loss_thr: 0.5583 loss_db: 0.1562 loss: 1.6641 08/28 16:23:45 - mmengine - INFO - Epoch(train) [150][45/63] lr: 6.2120e-03 eta: 17:21:07 time: 0.8498 data_time: 0.0930 memory: 14974 loss_prob: 0.9162 loss_thr: 0.5472 loss_db: 0.1513 loss: 1.6147 08/28 16:23:50 - mmengine - INFO - Epoch(train) [150][50/63] lr: 6.2120e-03 eta: 17:20:52 time: 0.8642 data_time: 0.0528 memory: 14974 loss_prob: 0.9258 loss_thr: 0.5517 loss_db: 0.1512 loss: 1.6287 08/28 16:23:54 - mmengine - INFO - Epoch(train) [150][55/63] lr: 6.2120e-03 eta: 17:20:52 time: 0.8810 data_time: 0.0762 memory: 14974 loss_prob: 0.9499 loss_thr: 0.5624 loss_db: 0.1581 loss: 1.6704 08/28 16:23:58 - mmengine - INFO - Epoch(train) [150][60/63] lr: 6.2120e-03 eta: 17:20:33 time: 0.8097 data_time: 0.0889 memory: 14974 loss_prob: 0.9558 loss_thr: 0.5773 loss_db: 0.1613 loss: 1.6944 08/28 16:24:00 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:24:06 - mmengine - INFO - Epoch(train) [151][5/63] lr: 6.2067e-03 eta: 17:20:33 time: 0.9023 data_time: 0.1948 memory: 14974 loss_prob: 0.9655 loss_thr: 0.5647 loss_db: 0.1587 loss: 1.6889 08/28 16:24:10 - mmengine - INFO - Epoch(train) [151][10/63] lr: 6.2067e-03 eta: 17:20:02 time: 0.9634 data_time: 0.2186 memory: 14974 loss_prob: 0.9917 loss_thr: 0.5609 loss_db: 0.1658 loss: 1.7183 08/28 16:24:14 - mmengine - INFO - Epoch(train) [151][15/63] lr: 6.2067e-03 eta: 17:20:02 time: 0.8519 data_time: 0.0682 memory: 14974 loss_prob: 1.0276 loss_thr: 0.5706 loss_db: 0.1697 loss: 1.7679 08/28 16:24:18 - mmengine - INFO - Epoch(train) [151][20/63] lr: 6.2067e-03 eta: 17:19:45 time: 0.8240 data_time: 0.0396 memory: 14974 loss_prob: 0.9768 loss_thr: 0.5602 loss_db: 0.1575 loss: 1.6945 08/28 16:24:23 - mmengine - INFO - Epoch(train) [151][25/63] lr: 6.2067e-03 eta: 17:19:45 time: 0.8484 data_time: 0.1122 memory: 14974 loss_prob: 0.8960 loss_thr: 0.5389 loss_db: 0.1465 loss: 1.5815 08/28 16:24:27 - mmengine - INFO - Epoch(train) [151][30/63] lr: 6.2067e-03 eta: 17:19:30 time: 0.8693 data_time: 0.1299 memory: 14974 loss_prob: 0.8833 loss_thr: 0.5164 loss_db: 0.1417 loss: 1.5414 08/28 16:24:32 - mmengine - INFO - Epoch(train) [151][35/63] lr: 6.2067e-03 eta: 17:19:30 time: 0.9053 data_time: 0.0742 memory: 14974 loss_prob: 0.9078 loss_thr: 0.5039 loss_db: 0.1418 loss: 1.5535 08/28 16:24:37 - mmengine - INFO - Epoch(train) [151][40/63] lr: 6.2067e-03 eta: 17:19:28 time: 1.0475 data_time: 0.1296 memory: 14974 loss_prob: 0.9949 loss_thr: 0.5360 loss_db: 0.1608 loss: 1.6917 08/28 16:24:42 - mmengine - INFO - Epoch(train) [151][45/63] lr: 6.2067e-03 eta: 17:19:28 time: 1.0468 data_time: 0.1293 memory: 14974 loss_prob: 1.1101 loss_thr: 0.5977 loss_db: 0.1831 loss: 1.8910 08/28 16:24:47 - mmengine - INFO - Epoch(train) [151][50/63] lr: 6.2067e-03 eta: 17:19:20 time: 0.9730 data_time: 0.1320 memory: 14974 loss_prob: 1.0479 loss_thr: 0.5868 loss_db: 0.1715 loss: 1.8062 08/28 16:24:51 - mmengine - INFO - Epoch(train) [151][55/63] lr: 6.2067e-03 eta: 17:19:20 time: 0.9099 data_time: 0.1293 memory: 14974 loss_prob: 0.9115 loss_thr: 0.5319 loss_db: 0.1494 loss: 1.5928 08/28 16:24:57 - mmengine - INFO - Epoch(train) [151][60/63] lr: 6.2067e-03 eta: 17:19:14 time: 0.9894 data_time: 0.0682 memory: 14974 loss_prob: 0.9139 loss_thr: 0.5407 loss_db: 0.1497 loss: 1.6043 08/28 16:25:00 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:25:05 - mmengine - INFO - Epoch(train) [152][5/63] lr: 6.2014e-03 eta: 17:19:14 time: 1.0227 data_time: 0.2322 memory: 14974 loss_prob: 0.9582 loss_thr: 0.5632 loss_db: 0.1576 loss: 1.6790 08/28 16:25:09 - mmengine - INFO - Epoch(train) [152][10/63] lr: 6.2014e-03 eta: 17:18:43 time: 0.9491 data_time: 0.1935 memory: 14974 loss_prob: 0.9855 loss_thr: 0.5593 loss_db: 0.1667 loss: 1.7115 08/28 16:25:14 - mmengine - INFO - Epoch(train) [152][15/63] lr: 6.2014e-03 eta: 17:18:43 time: 0.8950 data_time: 0.0930 memory: 14974 loss_prob: 1.0146 loss_thr: 0.5708 loss_db: 0.1677 loss: 1.7530 08/28 16:25:18 - mmengine - INFO - Epoch(train) [152][20/63] lr: 6.2014e-03 eta: 17:18:30 time: 0.8914 data_time: 0.0970 memory: 14974 loss_prob: 1.0048 loss_thr: 0.5755 loss_db: 0.1645 loss: 1.7448 08/28 16:25:22 - mmengine - INFO - Epoch(train) [152][25/63] lr: 6.2014e-03 eta: 17:18:30 time: 0.8258 data_time: 0.0763 memory: 14974 loss_prob: 0.9079 loss_thr: 0.5331 loss_db: 0.1489 loss: 1.5899 08/28 16:25:26 - mmengine - INFO - Epoch(train) [152][30/63] lr: 6.2014e-03 eta: 17:18:12 time: 0.8310 data_time: 0.0903 memory: 14974 loss_prob: 0.9424 loss_thr: 0.5317 loss_db: 0.1536 loss: 1.6276 08/28 16:25:30 - mmengine - INFO - Epoch(train) [152][35/63] lr: 6.2014e-03 eta: 17:18:12 time: 0.7914 data_time: 0.0648 memory: 14974 loss_prob: 1.0277 loss_thr: 0.5681 loss_db: 0.1713 loss: 1.7670 08/28 16:25:35 - mmengine - INFO - Epoch(train) [152][40/63] lr: 6.2014e-03 eta: 17:17:56 time: 0.8348 data_time: 0.0387 memory: 14974 loss_prob: 1.0454 loss_thr: 0.5694 loss_db: 0.1771 loss: 1.7919 08/28 16:25:39 - mmengine - INFO - Epoch(train) [152][45/63] lr: 6.2014e-03 eta: 17:17:56 time: 0.9275 data_time: 0.1118 memory: 14974 loss_prob: 0.9909 loss_thr: 0.5501 loss_db: 0.1610 loss: 1.7021 08/28 16:25:43 - mmengine - INFO - Epoch(train) [152][50/63] lr: 6.2014e-03 eta: 17:17:42 time: 0.8822 data_time: 0.1337 memory: 14974 loss_prob: 0.9308 loss_thr: 0.5443 loss_db: 0.1474 loss: 1.6225 08/28 16:25:48 - mmengine - INFO - Epoch(train) [152][55/63] lr: 6.2014e-03 eta: 17:17:42 time: 0.8554 data_time: 0.0739 memory: 14974 loss_prob: 0.9089 loss_thr: 0.5272 loss_db: 0.1469 loss: 1.5829 08/28 16:25:53 - mmengine - INFO - Epoch(train) [152][60/63] lr: 6.2014e-03 eta: 17:17:34 time: 0.9659 data_time: 0.1326 memory: 14974 loss_prob: 0.9799 loss_thr: 0.5552 loss_db: 0.1580 loss: 1.6931 08/28 16:25:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:26:02 - mmengine - INFO - Epoch(train) [153][5/63] lr: 6.1960e-03 eta: 17:17:34 time: 1.0914 data_time: 0.2401 memory: 14974 loss_prob: 1.0800 loss_thr: 0.5775 loss_db: 0.1705 loss: 1.8280 08/28 16:26:07 - mmengine - INFO - Epoch(train) [153][10/63] lr: 6.1960e-03 eta: 17:17:16 time: 1.1360 data_time: 0.3162 memory: 14974 loss_prob: 1.0322 loss_thr: 0.5529 loss_db: 0.1646 loss: 1.7497 08/28 16:26:12 - mmengine - INFO - Epoch(train) [153][15/63] lr: 6.1960e-03 eta: 17:17:16 time: 0.9623 data_time: 0.1308 memory: 14974 loss_prob: 0.9878 loss_thr: 0.5458 loss_db: 0.1595 loss: 1.6932 08/28 16:26:16 - mmengine - INFO - Epoch(train) [153][20/63] lr: 6.1960e-03 eta: 17:17:05 time: 0.9205 data_time: 0.0536 memory: 14974 loss_prob: 1.1092 loss_thr: 0.6060 loss_db: 0.1771 loss: 1.8923 08/28 16:26:21 - mmengine - INFO - Epoch(train) [153][25/63] lr: 6.1960e-03 eta: 17:17:05 time: 0.8806 data_time: 0.0978 memory: 14974 loss_prob: 1.1187 loss_thr: 0.5850 loss_db: 0.1774 loss: 1.8812 08/28 16:26:25 - mmengine - INFO - Epoch(train) [153][30/63] lr: 6.1960e-03 eta: 17:16:51 time: 0.8866 data_time: 0.0910 memory: 14974 loss_prob: 0.9525 loss_thr: 0.5297 loss_db: 0.1563 loss: 1.6386 08/28 16:26:29 - mmengine - INFO - Epoch(train) [153][35/63] lr: 6.1960e-03 eta: 17:16:51 time: 0.8769 data_time: 0.0465 memory: 14974 loss_prob: 0.9099 loss_thr: 0.5200 loss_db: 0.1513 loss: 1.5812 08/28 16:26:34 - mmengine - INFO - Epoch(train) [153][40/63] lr: 6.1960e-03 eta: 17:16:37 time: 0.8641 data_time: 0.0998 memory: 14974 loss_prob: 0.9804 loss_thr: 0.5487 loss_db: 0.1617 loss: 1.6908 08/28 16:26:38 - mmengine - INFO - Epoch(train) [153][45/63] lr: 6.1960e-03 eta: 17:16:37 time: 0.8348 data_time: 0.1020 memory: 14974 loss_prob: 0.9341 loss_thr: 0.5375 loss_db: 0.1545 loss: 1.6262 08/28 16:26:42 - mmengine - INFO - Epoch(train) [153][50/63] lr: 6.1960e-03 eta: 17:16:21 time: 0.8528 data_time: 0.0571 memory: 14974 loss_prob: 0.8702 loss_thr: 0.5139 loss_db: 0.1437 loss: 1.5278 08/28 16:26:46 - mmengine - INFO - Epoch(train) [153][55/63] lr: 6.1960e-03 eta: 17:16:21 time: 0.8641 data_time: 0.0765 memory: 14974 loss_prob: 1.0372 loss_thr: 0.5451 loss_db: 0.1679 loss: 1.7501 08/28 16:26:50 - mmengine - INFO - Epoch(train) [153][60/63] lr: 6.1960e-03 eta: 17:16:03 time: 0.8107 data_time: 0.0839 memory: 14974 loss_prob: 1.1096 loss_thr: 0.5646 loss_db: 0.1841 loss: 1.8583 08/28 16:26:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:26:58 - mmengine - INFO - Epoch(train) [154][5/63] lr: 6.1907e-03 eta: 17:16:03 time: 0.8959 data_time: 0.1859 memory: 14974 loss_prob: 1.0092 loss_thr: 0.5512 loss_db: 0.1624 loss: 1.7228 08/28 16:27:02 - mmengine - INFO - Epoch(train) [154][10/63] lr: 6.1907e-03 eta: 17:15:36 time: 1.0201 data_time: 0.2677 memory: 14974 loss_prob: 0.9789 loss_thr: 0.5505 loss_db: 0.1586 loss: 1.6879 08/28 16:27:06 - mmengine - INFO - Epoch(train) [154][15/63] lr: 6.1907e-03 eta: 17:15:36 time: 0.8703 data_time: 0.1324 memory: 14974 loss_prob: 0.9949 loss_thr: 0.5906 loss_db: 0.1681 loss: 1.7536 08/28 16:27:11 - mmengine - INFO - Epoch(train) [154][20/63] lr: 6.1907e-03 eta: 17:15:19 time: 0.8196 data_time: 0.0758 memory: 14974 loss_prob: 0.9863 loss_thr: 0.5718 loss_db: 0.1660 loss: 1.7241 08/28 16:27:16 - mmengine - INFO - Epoch(train) [154][25/63] lr: 6.1907e-03 eta: 17:15:19 time: 0.9839 data_time: 0.1256 memory: 14974 loss_prob: 0.9829 loss_thr: 0.5250 loss_db: 0.1567 loss: 1.6647 08/28 16:27:20 - mmengine - INFO - Epoch(train) [154][30/63] lr: 6.1907e-03 eta: 17:15:12 time: 0.9777 data_time: 0.1261 memory: 14974 loss_prob: 0.9711 loss_thr: 0.5296 loss_db: 0.1549 loss: 1.6555 08/28 16:27:25 - mmengine - INFO - Epoch(train) [154][35/63] lr: 6.1907e-03 eta: 17:15:12 time: 0.8318 data_time: 0.0776 memory: 14974 loss_prob: 0.9486 loss_thr: 0.5458 loss_db: 0.1555 loss: 1.6498 08/28 16:27:29 - mmengine - INFO - Epoch(train) [154][40/63] lr: 6.1907e-03 eta: 17:14:56 time: 0.8539 data_time: 0.1022 memory: 14974 loss_prob: 0.9604 loss_thr: 0.5600 loss_db: 0.1616 loss: 1.6820 08/28 16:27:35 - mmengine - INFO - Epoch(train) [154][45/63] lr: 6.1907e-03 eta: 17:14:56 time: 1.0147 data_time: 0.0980 memory: 14974 loss_prob: 0.9905 loss_thr: 0.5598 loss_db: 0.1675 loss: 1.7179 08/28 16:27:39 - mmengine - INFO - Epoch(train) [154][50/63] lr: 6.1907e-03 eta: 17:14:51 time: 1.0074 data_time: 0.0937 memory: 14974 loss_prob: 1.0286 loss_thr: 0.5582 loss_db: 0.1693 loss: 1.7562 08/28 16:27:43 - mmengine - INFO - Epoch(train) [154][55/63] lr: 6.1907e-03 eta: 17:14:51 time: 0.8388 data_time: 0.0849 memory: 14974 loss_prob: 1.0127 loss_thr: 0.5759 loss_db: 0.1644 loss: 1.7530 08/28 16:27:48 - mmengine - INFO - Epoch(train) [154][60/63] lr: 6.1907e-03 eta: 17:14:35 time: 0.8490 data_time: 0.0536 memory: 14974 loss_prob: 0.9450 loss_thr: 0.5721 loss_db: 0.1547 loss: 1.6718 08/28 16:27:51 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:27:56 - mmengine - INFO - Epoch(train) [155][5/63] lr: 6.1854e-03 eta: 17:14:35 time: 0.9842 data_time: 0.2306 memory: 14974 loss_prob: 0.9800 loss_thr: 0.5821 loss_db: 0.1621 loss: 1.7242 08/28 16:28:00 - mmengine - INFO - Epoch(train) [155][10/63] lr: 6.1854e-03 eta: 17:14:05 time: 0.9578 data_time: 0.1923 memory: 14974 loss_prob: 1.0271 loss_thr: 0.5838 loss_db: 0.1655 loss: 1.7763 08/28 16:28:05 - mmengine - INFO - Epoch(train) [155][15/63] lr: 6.1854e-03 eta: 17:14:05 time: 0.8541 data_time: 0.0783 memory: 14974 loss_prob: 1.0032 loss_thr: 0.5556 loss_db: 0.1582 loss: 1.7171 08/28 16:28:09 - mmengine - INFO - Epoch(train) [155][20/63] lr: 6.1854e-03 eta: 17:13:48 time: 0.8326 data_time: 0.0745 memory: 14974 loss_prob: 0.9566 loss_thr: 0.5394 loss_db: 0.1553 loss: 1.6513 08/28 16:28:13 - mmengine - INFO - Epoch(train) [155][25/63] lr: 6.1854e-03 eta: 17:13:48 time: 0.8039 data_time: 0.0532 memory: 14974 loss_prob: 0.9216 loss_thr: 0.5307 loss_db: 0.1568 loss: 1.6092 08/28 16:28:17 - mmengine - INFO - Epoch(train) [155][30/63] lr: 6.1854e-03 eta: 17:13:36 time: 0.8941 data_time: 0.1172 memory: 14974 loss_prob: 0.9130 loss_thr: 0.5182 loss_db: 0.1503 loss: 1.5816 08/28 16:28:22 - mmengine - INFO - Epoch(train) [155][35/63] lr: 6.1854e-03 eta: 17:13:36 time: 0.8936 data_time: 0.1232 memory: 14974 loss_prob: 0.9321 loss_thr: 0.5347 loss_db: 0.1533 loss: 1.6202 08/28 16:28:26 - mmengine - INFO - Epoch(train) [155][40/63] lr: 6.1854e-03 eta: 17:13:17 time: 0.8127 data_time: 0.0713 memory: 14974 loss_prob: 0.9545 loss_thr: 0.5454 loss_db: 0.1593 loss: 1.6592 08/28 16:28:31 - mmengine - INFO - Epoch(train) [155][45/63] lr: 6.1854e-03 eta: 17:13:17 time: 0.9391 data_time: 0.1306 memory: 14974 loss_prob: 0.9244 loss_thr: 0.5369 loss_db: 0.1523 loss: 1.6136 08/28 16:28:35 - mmengine - INFO - Epoch(train) [155][50/63] lr: 6.1854e-03 eta: 17:13:11 time: 0.9831 data_time: 0.1299 memory: 14974 loss_prob: 0.9619 loss_thr: 0.5282 loss_db: 0.1574 loss: 1.6474 08/28 16:28:39 - mmengine - INFO - Epoch(train) [155][55/63] lr: 6.1854e-03 eta: 17:13:11 time: 0.8527 data_time: 0.0673 memory: 14974 loss_prob: 0.9724 loss_thr: 0.5294 loss_db: 0.1588 loss: 1.6606 08/28 16:28:44 - mmengine - INFO - Epoch(train) [155][60/63] lr: 6.1854e-03 eta: 17:12:57 time: 0.8805 data_time: 0.1282 memory: 14974 loss_prob: 1.0342 loss_thr: 0.5737 loss_db: 0.1717 loss: 1.7796 08/28 16:28:47 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:28:53 - mmengine - INFO - Epoch(train) [156][5/63] lr: 6.1801e-03 eta: 17:12:57 time: 1.0188 data_time: 0.1965 memory: 14974 loss_prob: 1.1145 loss_thr: 0.5618 loss_db: 0.1807 loss: 1.8571 08/28 16:28:57 - mmengine - INFO - Epoch(train) [156][10/63] lr: 6.1801e-03 eta: 17:12:36 time: 1.0881 data_time: 0.2281 memory: 14974 loss_prob: 1.1181 loss_thr: 0.5759 loss_db: 0.1794 loss: 1.8735 08/28 16:29:01 - mmengine - INFO - Epoch(train) [156][15/63] lr: 6.1801e-03 eta: 17:12:36 time: 0.8438 data_time: 0.0742 memory: 14974 loss_prob: 1.0560 loss_thr: 0.5627 loss_db: 0.1705 loss: 1.7892 08/28 16:29:06 - mmengine - INFO - Epoch(train) [156][20/63] lr: 6.1801e-03 eta: 17:12:18 time: 0.8130 data_time: 0.0373 memory: 14974 loss_prob: 0.9586 loss_thr: 0.5405 loss_db: 0.1577 loss: 1.6568 08/28 16:29:10 - mmengine - INFO - Epoch(train) [156][25/63] lr: 6.1801e-03 eta: 17:12:18 time: 0.8606 data_time: 0.0968 memory: 14974 loss_prob: 1.0368 loss_thr: 0.5857 loss_db: 0.1714 loss: 1.7940 08/28 16:29:15 - mmengine - INFO - Epoch(train) [156][30/63] lr: 6.1801e-03 eta: 17:12:05 time: 0.8889 data_time: 0.1029 memory: 14974 loss_prob: 1.1162 loss_thr: 0.5866 loss_db: 0.1793 loss: 1.8822 08/28 16:29:18 - mmengine - INFO - Epoch(train) [156][35/63] lr: 6.1801e-03 eta: 17:12:05 time: 0.8449 data_time: 0.0586 memory: 14974 loss_prob: 1.0764 loss_thr: 0.5556 loss_db: 0.1646 loss: 1.7965 08/28 16:29:23 - mmengine - INFO - Epoch(train) [156][40/63] lr: 6.1801e-03 eta: 17:11:48 time: 0.8271 data_time: 0.0738 memory: 14974 loss_prob: 1.0643 loss_thr: 0.5639 loss_db: 0.1669 loss: 1.7950 08/28 16:29:27 - mmengine - INFO - Epoch(train) [156][45/63] lr: 6.1801e-03 eta: 17:11:48 time: 0.8128 data_time: 0.0673 memory: 14974 loss_prob: 1.0996 loss_thr: 0.5790 loss_db: 0.1771 loss: 1.8557 08/28 16:29:31 - mmengine - INFO - Epoch(train) [156][50/63] lr: 6.1801e-03 eta: 17:11:28 time: 0.7835 data_time: 0.0441 memory: 14974 loss_prob: 1.0402 loss_thr: 0.5569 loss_db: 0.1653 loss: 1.7624 08/28 16:29:35 - mmengine - INFO - Epoch(train) [156][55/63] lr: 6.1801e-03 eta: 17:11:28 time: 0.8654 data_time: 0.1020 memory: 14974 loss_prob: 0.9553 loss_thr: 0.5579 loss_db: 0.1572 loss: 1.6704 08/28 16:29:39 - mmengine - INFO - Epoch(train) [156][60/63] lr: 6.1801e-03 eta: 17:11:15 time: 0.8824 data_time: 0.1209 memory: 14974 loss_prob: 1.0340 loss_thr: 0.5823 loss_db: 0.1710 loss: 1.7873 08/28 16:29:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:29:47 - mmengine - INFO - Epoch(train) [157][5/63] lr: 6.1747e-03 eta: 17:11:15 time: 0.9346 data_time: 0.1933 memory: 14974 loss_prob: 1.0927 loss_thr: 0.5830 loss_db: 0.1845 loss: 1.8602 08/28 16:29:52 - mmengine - INFO - Epoch(train) [157][10/63] lr: 6.1747e-03 eta: 17:10:49 time: 1.0152 data_time: 0.2569 memory: 14974 loss_prob: 1.0539 loss_thr: 0.5539 loss_db: 0.1723 loss: 1.7802 08/28 16:29:57 - mmengine - INFO - Epoch(train) [157][15/63] lr: 6.1747e-03 eta: 17:10:49 time: 0.9256 data_time: 0.1266 memory: 14974 loss_prob: 1.0357 loss_thr: 0.5455 loss_db: 0.1672 loss: 1.7485 08/28 16:30:00 - mmengine - INFO - Epoch(train) [157][20/63] lr: 6.1747e-03 eta: 17:10:32 time: 0.8329 data_time: 0.0673 memory: 14974 loss_prob: 1.1026 loss_thr: 0.5208 loss_db: 0.1851 loss: 1.8085 08/28 16:30:05 - mmengine - INFO - Epoch(train) [157][25/63] lr: 6.1747e-03 eta: 17:10:32 time: 0.8415 data_time: 0.1208 memory: 14974 loss_prob: 1.1762 loss_thr: 0.5374 loss_db: 0.1936 loss: 1.9072 08/28 16:30:10 - mmengine - INFO - Epoch(train) [157][30/63] lr: 6.1747e-03 eta: 17:10:21 time: 0.9148 data_time: 0.1353 memory: 14974 loss_prob: 1.2301 loss_thr: 0.5835 loss_db: 0.1968 loss: 2.0104 08/28 16:30:16 - mmengine - INFO - Epoch(train) [157][35/63] lr: 6.1747e-03 eta: 17:10:21 time: 1.0695 data_time: 0.0777 memory: 14974 loss_prob: 1.2407 loss_thr: 0.5932 loss_db: 0.1980 loss: 2.0320 08/28 16:30:20 - mmengine - INFO - Epoch(train) [157][40/63] lr: 6.1747e-03 eta: 17:10:18 time: 1.0434 data_time: 0.0931 memory: 14974 loss_prob: 1.1764 loss_thr: 0.6058 loss_db: 0.1955 loss: 1.9777 08/28 16:30:25 - mmengine - INFO - Epoch(train) [157][45/63] lr: 6.1747e-03 eta: 17:10:18 time: 0.9381 data_time: 0.0997 memory: 14974 loss_prob: 1.1658 loss_thr: 0.6191 loss_db: 0.1968 loss: 1.9818 08/28 16:30:29 - mmengine - INFO - Epoch(train) [157][50/63] lr: 6.1747e-03 eta: 17:10:05 time: 0.8857 data_time: 0.0581 memory: 14974 loss_prob: 1.2015 loss_thr: 0.6191 loss_db: 0.1940 loss: 2.0146 08/28 16:30:33 - mmengine - INFO - Epoch(train) [157][55/63] lr: 6.1747e-03 eta: 17:10:05 time: 0.8348 data_time: 0.0965 memory: 14974 loss_prob: 1.1482 loss_thr: 0.5972 loss_db: 0.1865 loss: 1.9319 08/28 16:30:38 - mmengine - INFO - Epoch(train) [157][60/63] lr: 6.1747e-03 eta: 17:09:51 time: 0.8664 data_time: 0.1059 memory: 14974 loss_prob: 1.1874 loss_thr: 0.5811 loss_db: 0.1957 loss: 1.9641 08/28 16:30:40 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:30:45 - mmengine - INFO - Epoch(train) [158][5/63] lr: 6.1694e-03 eta: 17:09:51 time: 0.9023 data_time: 0.1789 memory: 14974 loss_prob: 1.4244 loss_thr: 0.6060 loss_db: 0.2295 loss: 2.2598 08/28 16:30:49 - mmengine - INFO - Epoch(train) [158][10/63] lr: 6.1694e-03 eta: 17:09:21 time: 0.9604 data_time: 0.2069 memory: 14974 loss_prob: 1.1229 loss_thr: 0.6088 loss_db: 0.1908 loss: 1.9225 08/28 16:30:54 - mmengine - INFO - Epoch(train) [158][15/63] lr: 6.1694e-03 eta: 17:09:21 time: 0.8700 data_time: 0.0846 memory: 14974 loss_prob: 1.1589 loss_thr: 0.6296 loss_db: 0.1863 loss: 1.9749 08/28 16:30:58 - mmengine - INFO - Epoch(train) [158][20/63] lr: 6.1694e-03 eta: 17:09:06 time: 0.8527 data_time: 0.0751 memory: 14974 loss_prob: 1.1212 loss_thr: 0.5938 loss_db: 0.1798 loss: 1.8947 08/28 16:31:03 - mmengine - INFO - Epoch(train) [158][25/63] lr: 6.1694e-03 eta: 17:09:06 time: 0.9112 data_time: 0.1353 memory: 14974 loss_prob: 1.0518 loss_thr: 0.5753 loss_db: 0.1732 loss: 1.8003 08/28 16:31:07 - mmengine - INFO - Epoch(train) [158][30/63] lr: 6.1694e-03 eta: 17:08:53 time: 0.8813 data_time: 0.1217 memory: 14974 loss_prob: 1.0502 loss_thr: 0.5619 loss_db: 0.1766 loss: 1.7887 08/28 16:31:12 - mmengine - INFO - Epoch(train) [158][35/63] lr: 6.1694e-03 eta: 17:08:53 time: 0.8973 data_time: 0.0678 memory: 14974 loss_prob: 1.1247 loss_thr: 0.5480 loss_db: 0.1785 loss: 1.8512 08/28 16:31:17 - mmengine - INFO - Epoch(train) [158][40/63] lr: 6.1694e-03 eta: 17:08:48 time: 1.0057 data_time: 0.1198 memory: 14974 loss_prob: 1.1185 loss_thr: 0.5603 loss_db: 0.1756 loss: 1.8544 08/28 16:31:21 - mmengine - INFO - Epoch(train) [158][45/63] lr: 6.1694e-03 eta: 17:08:48 time: 0.8977 data_time: 0.1130 memory: 14974 loss_prob: 1.0034 loss_thr: 0.5511 loss_db: 0.1646 loss: 1.7190 08/28 16:31:26 - mmengine - INFO - Epoch(train) [158][50/63] lr: 6.1694e-03 eta: 17:08:35 time: 0.8873 data_time: 0.0878 memory: 14974 loss_prob: 1.0136 loss_thr: 0.5515 loss_db: 0.1662 loss: 1.7313 08/28 16:31:31 - mmengine - INFO - Epoch(train) [158][55/63] lr: 6.1694e-03 eta: 17:08:35 time: 1.0149 data_time: 0.1195 memory: 14974 loss_prob: 1.0544 loss_thr: 0.5662 loss_db: 0.1680 loss: 1.7886 08/28 16:31:35 - mmengine - INFO - Epoch(train) [158][60/63] lr: 6.1694e-03 eta: 17:08:27 time: 0.9624 data_time: 0.0925 memory: 14974 loss_prob: 1.0799 loss_thr: 0.5629 loss_db: 0.1768 loss: 1.8197 08/28 16:31:37 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:31:43 - mmengine - INFO - Epoch(train) [159][5/63] lr: 6.1641e-03 eta: 17:08:27 time: 0.9206 data_time: 0.1798 memory: 14974 loss_prob: 1.0892 loss_thr: 0.5665 loss_db: 0.1801 loss: 1.8358 08/28 16:31:48 - mmengine - INFO - Epoch(train) [159][10/63] lr: 6.1641e-03 eta: 17:08:01 time: 1.0130 data_time: 0.2378 memory: 14974 loss_prob: 0.9774 loss_thr: 0.5304 loss_db: 0.1606 loss: 1.6685 08/28 16:31:52 - mmengine - INFO - Epoch(train) [159][15/63] lr: 6.1641e-03 eta: 17:08:01 time: 0.9299 data_time: 0.1078 memory: 14974 loss_prob: 0.9843 loss_thr: 0.5630 loss_db: 0.1636 loss: 1.7109 08/28 16:31:57 - mmengine - INFO - Epoch(train) [159][20/63] lr: 6.1641e-03 eta: 17:07:49 time: 0.9046 data_time: 0.0566 memory: 14974 loss_prob: 1.0317 loss_thr: 0.5779 loss_db: 0.1715 loss: 1.7811 08/28 16:32:01 - mmengine - INFO - Epoch(train) [159][25/63] lr: 6.1641e-03 eta: 17:07:49 time: 0.8506 data_time: 0.0793 memory: 14974 loss_prob: 0.9945 loss_thr: 0.5602 loss_db: 0.1654 loss: 1.7201 08/28 16:32:05 - mmengine - INFO - Epoch(train) [159][30/63] lr: 6.1641e-03 eta: 17:07:32 time: 0.8124 data_time: 0.0696 memory: 14974 loss_prob: 0.9215 loss_thr: 0.5306 loss_db: 0.1521 loss: 1.6042 08/28 16:32:09 - mmengine - INFO - Epoch(train) [159][35/63] lr: 6.1641e-03 eta: 17:07:32 time: 0.7906 data_time: 0.0531 memory: 14974 loss_prob: 0.8776 loss_thr: 0.5168 loss_db: 0.1456 loss: 1.5399 08/28 16:32:13 - mmengine - INFO - Epoch(train) [159][40/63] lr: 6.1641e-03 eta: 17:07:17 time: 0.8595 data_time: 0.1287 memory: 14974 loss_prob: 0.9673 loss_thr: 0.5414 loss_db: 0.1625 loss: 1.6712 08/28 16:32:17 - mmengine - INFO - Epoch(train) [159][45/63] lr: 6.1641e-03 eta: 17:07:17 time: 0.8681 data_time: 0.1487 memory: 14974 loss_prob: 0.9893 loss_thr: 0.5637 loss_db: 0.1670 loss: 1.7200 08/28 16:32:18 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:32:21 - mmengine - INFO - Epoch(train) [159][50/63] lr: 6.1641e-03 eta: 17:06:59 time: 0.8086 data_time: 0.0893 memory: 14974 loss_prob: 0.9207 loss_thr: 0.5515 loss_db: 0.1500 loss: 1.6222 08/28 16:32:27 - mmengine - INFO - Epoch(train) [159][55/63] lr: 6.1641e-03 eta: 17:06:59 time: 0.9231 data_time: 0.1062 memory: 14974 loss_prob: 0.9185 loss_thr: 0.5416 loss_db: 0.1450 loss: 1.6051 08/28 16:32:32 - mmengine - INFO - Epoch(train) [159][60/63] lr: 6.1641e-03 eta: 17:06:55 time: 1.0170 data_time: 0.1071 memory: 14974 loss_prob: 1.0136 loss_thr: 0.5601 loss_db: 0.1568 loss: 1.7306 08/28 16:32:34 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:32:40 - mmengine - INFO - Epoch(train) [160][5/63] lr: 6.1587e-03 eta: 17:06:55 time: 0.9760 data_time: 0.2636 memory: 14974 loss_prob: 1.0638 loss_thr: 0.5506 loss_db: 0.1713 loss: 1.7857 08/28 16:32:45 - mmengine - INFO - Epoch(train) [160][10/63] lr: 6.1587e-03 eta: 17:06:30 time: 1.0370 data_time: 0.2065 memory: 14974 loss_prob: 1.0578 loss_thr: 0.5472 loss_db: 0.1679 loss: 1.7729 08/28 16:32:50 - mmengine - INFO - Epoch(train) [160][15/63] lr: 6.1587e-03 eta: 17:06:30 time: 1.0109 data_time: 0.1146 memory: 14974 loss_prob: 0.9834 loss_thr: 0.5103 loss_db: 0.1579 loss: 1.6515 08/28 16:32:55 - mmengine - INFO - Epoch(train) [160][20/63] lr: 6.1587e-03 eta: 17:06:23 time: 0.9687 data_time: 0.1032 memory: 14974 loss_prob: 0.9436 loss_thr: 0.5128 loss_db: 0.1540 loss: 1.6104 08/28 16:32:59 - mmengine - INFO - Epoch(train) [160][25/63] lr: 6.1587e-03 eta: 17:06:23 time: 0.9151 data_time: 0.0526 memory: 14974 loss_prob: 0.9795 loss_thr: 0.5503 loss_db: 0.1571 loss: 1.6869 08/28 16:33:03 - mmengine - INFO - Epoch(train) [160][30/63] lr: 6.1587e-03 eta: 17:06:10 time: 0.8881 data_time: 0.0863 memory: 14974 loss_prob: 1.0531 loss_thr: 0.5727 loss_db: 0.1708 loss: 1.7966 08/28 16:33:07 - mmengine - INFO - Epoch(train) [160][35/63] lr: 6.1587e-03 eta: 17:06:10 time: 0.8226 data_time: 0.0945 memory: 14974 loss_prob: 1.1601 loss_thr: 0.5861 loss_db: 0.1923 loss: 1.9385 08/28 16:33:11 - mmengine - INFO - Epoch(train) [160][40/63] lr: 6.1587e-03 eta: 17:05:51 time: 0.7919 data_time: 0.0602 memory: 14974 loss_prob: 1.1826 loss_thr: 0.5923 loss_db: 0.1921 loss: 1.9670 08/28 16:33:16 - mmengine - INFO - Epoch(train) [160][45/63] lr: 6.1587e-03 eta: 17:05:51 time: 0.8875 data_time: 0.0817 memory: 14974 loss_prob: 1.1062 loss_thr: 0.6025 loss_db: 0.1813 loss: 1.8900 08/28 16:33:20 - mmengine - INFO - Epoch(train) [160][50/63] lr: 6.1587e-03 eta: 17:05:38 time: 0.8769 data_time: 0.0779 memory: 14974 loss_prob: 1.0454 loss_thr: 0.5734 loss_db: 0.1756 loss: 1.7944 08/28 16:33:24 - mmengine - INFO - Epoch(train) [160][55/63] lr: 6.1587e-03 eta: 17:05:38 time: 0.7751 data_time: 0.0403 memory: 14974 loss_prob: 0.9980 loss_thr: 0.5440 loss_db: 0.1620 loss: 1.7040 08/28 16:33:29 - mmengine - INFO - Epoch(train) [160][60/63] lr: 6.1587e-03 eta: 17:05:23 time: 0.8558 data_time: 0.1098 memory: 14974 loss_prob: 1.0445 loss_thr: 0.5660 loss_db: 0.1675 loss: 1.7779 08/28 16:33:31 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:33:31 - mmengine - INFO - Saving checkpoint at 160 epochs 08/28 16:33:38 - mmengine - INFO - Epoch(val) [160][5/500] eta: 17:05:23 time: 0.1129 data_time: 0.0204 memory: 14974 08/28 16:33:38 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:00:59 time: 0.1224 data_time: 0.0290 memory: 1021 08/28 16:33:38 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:00:59 time: 0.0538 data_time: 0.0110 memory: 1021 08/28 16:33:39 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:21 time: 0.0451 data_time: 0.0025 memory: 1021 08/28 16:33:39 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:21 time: 0.0429 data_time: 0.0023 memory: 1021 08/28 16:33:39 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:21 time: 0.0462 data_time: 0.0022 memory: 1021 08/28 16:33:39 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:21 time: 0.0467 data_time: 0.0022 memory: 1021 08/28 16:33:40 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:22 time: 0.0478 data_time: 0.0023 memory: 1021 08/28 16:33:40 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:22 time: 0.0492 data_time: 0.0023 memory: 1021 08/28 16:33:40 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:20 time: 0.0461 data_time: 0.0024 memory: 1021 08/28 16:33:40 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:20 time: 0.0471 data_time: 0.0023 memory: 1021 08/28 16:33:40 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:21 time: 0.0494 data_time: 0.0024 memory: 1021 08/28 16:33:41 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:21 time: 0.0538 data_time: 0.0027 memory: 1021 08/28 16:33:41 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:22 time: 0.0520 data_time: 0.0026 memory: 1021 08/28 16:33:41 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:22 time: 0.0465 data_time: 0.0027 memory: 1021 08/28 16:33:41 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:18 time: 0.0444 data_time: 0.0027 memory: 1021 08/28 16:33:42 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:18 time: 0.0462 data_time: 0.0026 memory: 1021 08/28 16:33:42 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:23 time: 0.0567 data_time: 0.0031 memory: 1021 08/28 16:33:42 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:23 time: 0.0569 data_time: 0.0029 memory: 1021 08/28 16:33:43 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:20 time: 0.0510 data_time: 0.0024 memory: 1021 08/28 16:33:43 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:20 time: 0.0504 data_time: 0.0024 memory: 1021 08/28 16:33:43 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:19 time: 0.0497 data_time: 0.0025 memory: 1021 08/28 16:33:43 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:19 time: 0.0529 data_time: 0.0027 memory: 1021 08/28 16:33:44 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:20 time: 0.0545 data_time: 0.0026 memory: 1021 08/28 16:33:44 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:20 time: 0.0520 data_time: 0.0026 memory: 1021 08/28 16:33:44 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:18 time: 0.0513 data_time: 0.0028 memory: 1021 08/28 16:33:44 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:18 time: 0.0617 data_time: 0.0032 memory: 1021 08/28 16:33:45 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:23 time: 0.0640 data_time: 0.0031 memory: 1021 08/28 16:33:45 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:23 time: 0.0553 data_time: 0.0026 memory: 1021 08/28 16:33:45 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:19 time: 0.0549 data_time: 0.0025 memory: 1021 08/28 16:33:46 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:19 time: 0.0572 data_time: 0.0028 memory: 1021 08/28 16:33:46 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:19 time: 0.0586 data_time: 0.0028 memory: 1021 08/28 16:33:46 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:19 time: 0.0581 data_time: 0.0028 memory: 1021 08/28 16:33:46 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:17 time: 0.0525 data_time: 0.0026 memory: 1021 08/28 16:33:47 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:17 time: 0.0463 data_time: 0.0023 memory: 1021 08/28 16:33:47 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:14 time: 0.0453 data_time: 0.0024 memory: 1021 08/28 16:33:47 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:14 time: 0.0482 data_time: 0.0024 memory: 1021 08/28 16:33:47 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:15 time: 0.0485 data_time: 0.0023 memory: 1021 08/28 16:33:48 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:15 time: 0.0460 data_time: 0.0024 memory: 1021 08/28 16:33:48 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:15 time: 0.0513 data_time: 0.0023 memory: 1021 08/28 16:33:48 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:15 time: 0.0504 data_time: 0.0022 memory: 1021 08/28 16:33:48 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:12 time: 0.0431 data_time: 0.0023 memory: 1021 08/28 16:33:49 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:12 time: 0.0446 data_time: 0.0022 memory: 1021 08/28 16:33:49 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:13 time: 0.0465 data_time: 0.0022 memory: 1021 08/28 16:33:49 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:13 time: 0.0470 data_time: 0.0023 memory: 1021 08/28 16:33:49 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:13 time: 0.0495 data_time: 0.0068 memory: 1021 08/28 16:33:49 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:13 time: 0.0496 data_time: 0.0068 memory: 1021 08/28 16:33:50 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:12 time: 0.0473 data_time: 0.0023 memory: 1021 08/28 16:33:50 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:12 time: 0.0454 data_time: 0.0023 memory: 1021 08/28 16:33:50 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:11 time: 0.0466 data_time: 0.0022 memory: 1021 08/28 16:33:50 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:11 time: 0.0462 data_time: 0.0021 memory: 1021 08/28 16:33:51 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:10 time: 0.0442 data_time: 0.0021 memory: 1021 08/28 16:33:51 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:10 time: 0.0444 data_time: 0.0020 memory: 1021 08/28 16:33:51 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:10 time: 0.0460 data_time: 0.0020 memory: 1021 08/28 16:33:52 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:10 time: 0.1181 data_time: 0.0068 memory: 1021 08/28 16:33:52 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:26 time: 0.1206 data_time: 0.0079 memory: 1021 08/28 16:33:53 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:26 time: 0.0483 data_time: 0.0034 memory: 1021 08/28 16:33:53 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:09 time: 0.0463 data_time: 0.0022 memory: 1021 08/28 16:33:53 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:09 time: 0.0470 data_time: 0.0021 memory: 1021 08/28 16:33:53 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:08 time: 0.0449 data_time: 0.0020 memory: 1021 08/28 16:33:53 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:08 time: 0.0446 data_time: 0.0020 memory: 1021 08/28 16:33:54 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:08 time: 0.0445 data_time: 0.0020 memory: 1021 08/28 16:33:54 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:08 time: 0.0468 data_time: 0.0021 memory: 1021 08/28 16:33:54 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:08 time: 0.0462 data_time: 0.0021 memory: 1021 08/28 16:33:54 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:08 time: 0.0552 data_time: 0.0023 memory: 1021 08/28 16:33:55 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:09 time: 0.0553 data_time: 0.0025 memory: 1021 08/28 16:33:55 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:09 time: 0.0430 data_time: 0.0024 memory: 1021 08/28 16:33:55 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:08 time: 0.0526 data_time: 0.0024 memory: 1021 08/28 16:33:55 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:08 time: 0.0540 data_time: 0.0024 memory: 1021 08/28 16:33:56 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:07 time: 0.0494 data_time: 0.0023 memory: 1021 08/28 16:33:56 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:07 time: 0.0485 data_time: 0.0022 memory: 1021 08/28 16:33:56 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:09 time: 0.0661 data_time: 0.0038 memory: 1021 08/28 16:33:57 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:09 time: 0.0669 data_time: 0.0039 memory: 1021 08/28 16:33:57 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:05 time: 0.0431 data_time: 0.0023 memory: 1021 08/28 16:33:57 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:05 time: 0.0421 data_time: 0.0021 memory: 1021 08/28 16:33:57 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:05 time: 0.0453 data_time: 0.0022 memory: 1021 08/28 16:33:57 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:05 time: 0.0458 data_time: 0.0023 memory: 1021 08/28 16:33:58 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:04 time: 0.0438 data_time: 0.0022 memory: 1021 08/28 16:33:58 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:04 time: 0.0443 data_time: 0.0022 memory: 1021 08/28 16:33:58 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:04 time: 0.0449 data_time: 0.0025 memory: 1021 08/28 16:33:58 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:04 time: 0.0490 data_time: 0.0027 memory: 1021 08/28 16:33:59 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:05 time: 0.0565 data_time: 0.0028 memory: 1021 08/28 16:33:59 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:05 time: 0.0520 data_time: 0.0027 memory: 1021 08/28 16:33:59 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:03 time: 0.0425 data_time: 0.0023 memory: 1021 08/28 16:33:59 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:03 time: 0.0487 data_time: 0.0066 memory: 1021 08/28 16:34:00 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:03 time: 0.0554 data_time: 0.0069 memory: 1021 08/28 16:34:00 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:03 time: 0.0516 data_time: 0.0031 memory: 1021 08/28 16:34:00 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:02 time: 0.0495 data_time: 0.0029 memory: 1021 08/28 16:34:00 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:02 time: 0.0546 data_time: 0.0029 memory: 1021 08/28 16:34:01 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:02 time: 0.0559 data_time: 0.0029 memory: 1021 08/28 16:34:01 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:02 time: 0.0548 data_time: 0.0027 memory: 1021 08/28 16:34:01 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:02 time: 0.0545 data_time: 0.0029 memory: 1021 08/28 16:34:02 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:02 time: 0.0503 data_time: 0.0027 memory: 1021 08/28 16:34:02 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:01 time: 0.0494 data_time: 0.0025 memory: 1021 08/28 16:34:02 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:01 time: 0.0526 data_time: 0.0028 memory: 1021 08/28 16:34:02 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:01 time: 0.0515 data_time: 0.0031 memory: 1021 08/28 16:34:03 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:01 time: 0.0509 data_time: 0.0032 memory: 1021 08/28 16:34:03 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0845 data_time: 0.0059 memory: 1021 08/28 16:34:03 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0874 data_time: 0.0058 memory: 1021 08/28 16:34:04 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0525 data_time: 0.0027 memory: 1021 08/28 16:34:04 - mmengine - INFO - Evaluating hmean-iou... 08/28 16:34:04 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7862, precision: 0.6593, hmean: 0.7172 08/28 16:34:04 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7862, precision: 0.7560, hmean: 0.7708 08/28 16:34:04 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7829, precision: 0.8130, hmean: 0.7976 08/28 16:34:04 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7631, precision: 0.8563, hmean: 0.8070 08/28 16:34:04 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6981, precision: 0.8934, hmean: 0.7838 08/28 16:34:04 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3519, precision: 0.9372, hmean: 0.5117 08/28 16:34:04 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0116, precision: 0.9231, hmean: 0.0228 08/28 16:34:04 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.8563 icdar/recall: 0.7631 icdar/hmean: 0.8070 08/28 16:34:10 - mmengine - INFO - Epoch(train) [161][5/63] lr: 6.1534e-03 eta: 0:00:00 time: 0.9247 data_time: 0.1948 memory: 14974 loss_prob: 0.9461 loss_thr: 0.5267 loss_db: 0.1589 loss: 1.6317 08/28 16:34:14 - mmengine - INFO - Epoch(train) [161][10/63] lr: 6.1534e-03 eta: 17:04:57 time: 1.0090 data_time: 0.2029 memory: 14974 loss_prob: 0.9507 loss_thr: 0.5313 loss_db: 0.1547 loss: 1.6367 08/28 16:34:19 - mmengine - INFO - Epoch(train) [161][15/63] lr: 6.1534e-03 eta: 17:04:57 time: 0.8806 data_time: 0.1083 memory: 14974 loss_prob: 0.9594 loss_thr: 0.5572 loss_db: 0.1604 loss: 1.6770 08/28 16:34:23 - mmengine - INFO - Epoch(train) [161][20/63] lr: 6.1534e-03 eta: 17:04:42 time: 0.8502 data_time: 0.1068 memory: 14974 loss_prob: 0.9919 loss_thr: 0.5546 loss_db: 0.1654 loss: 1.7118 08/28 16:34:27 - mmengine - INFO - Epoch(train) [161][25/63] lr: 6.1534e-03 eta: 17:04:42 time: 0.8116 data_time: 0.0670 memory: 14974 loss_prob: 1.0232 loss_thr: 0.5633 loss_db: 0.1636 loss: 1.7501 08/28 16:34:31 - mmengine - INFO - Epoch(train) [161][30/63] lr: 6.1534e-03 eta: 17:04:24 time: 0.8130 data_time: 0.0790 memory: 14974 loss_prob: 0.9801 loss_thr: 0.5862 loss_db: 0.1628 loss: 1.7291 08/28 16:34:35 - mmengine - INFO - Epoch(train) [161][35/63] lr: 6.1534e-03 eta: 17:04:24 time: 0.8167 data_time: 0.0681 memory: 14974 loss_prob: 0.9720 loss_thr: 0.5600 loss_db: 0.1629 loss: 1.6948 08/28 16:34:39 - mmengine - INFO - Epoch(train) [161][40/63] lr: 6.1534e-03 eta: 17:04:05 time: 0.7779 data_time: 0.0370 memory: 14974 loss_prob: 1.0911 loss_thr: 0.5487 loss_db: 0.1746 loss: 1.8144 08/28 16:34:43 - mmengine - INFO - Epoch(train) [161][45/63] lr: 6.1534e-03 eta: 17:04:05 time: 0.8232 data_time: 0.0661 memory: 14974 loss_prob: 1.1369 loss_thr: 0.5835 loss_db: 0.1792 loss: 1.8996 08/28 16:34:48 - mmengine - INFO - Epoch(train) [161][50/63] lr: 6.1534e-03 eta: 17:03:52 time: 0.8856 data_time: 0.0986 memory: 14974 loss_prob: 0.9904 loss_thr: 0.5576 loss_db: 0.1582 loss: 1.7062 08/28 16:34:52 - mmengine - INFO - Epoch(train) [161][55/63] lr: 6.1534e-03 eta: 17:03:52 time: 0.8180 data_time: 0.0725 memory: 14974 loss_prob: 0.9312 loss_thr: 0.5338 loss_db: 0.1542 loss: 1.6192 08/28 16:34:56 - mmengine - INFO - Epoch(train) [161][60/63] lr: 6.1534e-03 eta: 17:03:36 time: 0.8421 data_time: 0.1125 memory: 14974 loss_prob: 1.0042 loss_thr: 0.5479 loss_db: 0.1716 loss: 1.7238 08/28 16:34:58 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:35:05 - mmengine - INFO - Epoch(train) [162][5/63] lr: 6.1481e-03 eta: 17:03:36 time: 1.0791 data_time: 0.2170 memory: 14974 loss_prob: 0.9992 loss_thr: 0.5516 loss_db: 0.1648 loss: 1.7156 08/28 16:35:11 - mmengine - INFO - Epoch(train) [162][10/63] lr: 6.1481e-03 eta: 17:03:24 time: 1.2127 data_time: 0.2914 memory: 14974 loss_prob: 0.9976 loss_thr: 0.5433 loss_db: 0.1605 loss: 1.7014 08/28 16:35:15 - mmengine - INFO - Epoch(train) [162][15/63] lr: 6.1481e-03 eta: 17:03:24 time: 0.9629 data_time: 0.1373 memory: 14974 loss_prob: 0.9895 loss_thr: 0.5381 loss_db: 0.1611 loss: 1.6887 08/28 16:35:19 - mmengine - INFO - Epoch(train) [162][20/63] lr: 6.1481e-03 eta: 17:03:09 time: 0.8612 data_time: 0.0721 memory: 14974 loss_prob: 1.0428 loss_thr: 0.5600 loss_db: 0.1718 loss: 1.7745 08/28 16:35:24 - mmengine - INFO - Epoch(train) [162][25/63] lr: 6.1481e-03 eta: 17:03:09 time: 0.9149 data_time: 0.0969 memory: 14974 loss_prob: 1.0922 loss_thr: 0.5631 loss_db: 0.1789 loss: 1.8342 08/28 16:35:28 - mmengine - INFO - Epoch(train) [162][30/63] lr: 6.1481e-03 eta: 17:02:57 time: 0.8971 data_time: 0.0844 memory: 14974 loss_prob: 1.0732 loss_thr: 0.5720 loss_db: 0.1792 loss: 1.8244 08/28 16:35:33 - mmengine - INFO - Epoch(train) [162][35/63] lr: 6.1481e-03 eta: 17:02:57 time: 0.8904 data_time: 0.0580 memory: 14974 loss_prob: 1.0315 loss_thr: 0.5792 loss_db: 0.1715 loss: 1.7822 08/28 16:35:37 - mmengine - INFO - Epoch(train) [162][40/63] lr: 6.1481e-03 eta: 17:02:47 time: 0.9189 data_time: 0.0714 memory: 14974 loss_prob: 1.0417 loss_thr: 0.5749 loss_db: 0.1730 loss: 1.7896 08/28 16:35:41 - mmengine - INFO - Epoch(train) [162][45/63] lr: 6.1481e-03 eta: 17:02:47 time: 0.8197 data_time: 0.0758 memory: 14974 loss_prob: 1.0994 loss_thr: 0.6018 loss_db: 0.1770 loss: 1.8783 08/28 16:35:45 - mmengine - INFO - Epoch(train) [162][50/63] lr: 6.1481e-03 eta: 17:02:28 time: 0.7919 data_time: 0.0630 memory: 14974 loss_prob: 1.1216 loss_thr: 0.6013 loss_db: 0.1843 loss: 1.9072 08/28 16:35:50 - mmengine - INFO - Epoch(train) [162][55/63] lr: 6.1481e-03 eta: 17:02:28 time: 0.8437 data_time: 0.0973 memory: 14974 loss_prob: 1.0612 loss_thr: 0.5663 loss_db: 0.1784 loss: 1.8059 08/28 16:35:54 - mmengine - INFO - Epoch(train) [162][60/63] lr: 6.1481e-03 eta: 17:02:15 time: 0.8907 data_time: 0.0953 memory: 14974 loss_prob: 0.9937 loss_thr: 0.5642 loss_db: 0.1602 loss: 1.7182 08/28 16:35:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:36:01 - mmengine - INFO - Epoch(train) [163][5/63] lr: 6.1427e-03 eta: 17:02:15 time: 0.8912 data_time: 0.1795 memory: 14974 loss_prob: 0.9803 loss_thr: 0.5836 loss_db: 0.1635 loss: 1.7274 08/28 16:36:06 - mmengine - INFO - Epoch(train) [163][10/63] lr: 6.1427e-03 eta: 17:01:47 time: 0.9589 data_time: 0.2157 memory: 14974 loss_prob: 1.0284 loss_thr: 0.5894 loss_db: 0.1745 loss: 1.7923 08/28 16:36:10 - mmengine - INFO - Epoch(train) [163][15/63] lr: 6.1427e-03 eta: 17:01:47 time: 0.8221 data_time: 0.0891 memory: 14974 loss_prob: 1.0230 loss_thr: 0.5959 loss_db: 0.1662 loss: 1.7851 08/28 16:36:15 - mmengine - INFO - Epoch(train) [163][20/63] lr: 6.1427e-03 eta: 17:01:34 time: 0.8936 data_time: 0.0713 memory: 14974 loss_prob: 0.9527 loss_thr: 0.5703 loss_db: 0.1564 loss: 1.6793 08/28 16:36:19 - mmengine - INFO - Epoch(train) [163][25/63] lr: 6.1427e-03 eta: 17:01:34 time: 0.9567 data_time: 0.1302 memory: 14974 loss_prob: 0.8893 loss_thr: 0.5150 loss_db: 0.1459 loss: 1.5502 08/28 16:36:24 - mmengine - INFO - Epoch(train) [163][30/63] lr: 6.1427e-03 eta: 17:01:22 time: 0.8859 data_time: 0.1199 memory: 14974 loss_prob: 0.8852 loss_thr: 0.5177 loss_db: 0.1401 loss: 1.5430 08/28 16:36:29 - mmengine - INFO - Epoch(train) [163][35/63] lr: 6.1427e-03 eta: 17:01:22 time: 0.9502 data_time: 0.0669 memory: 14974 loss_prob: 1.0254 loss_thr: 0.5982 loss_db: 0.1622 loss: 1.7858 08/28 16:36:34 - mmengine - INFO - Epoch(train) [163][40/63] lr: 6.1427e-03 eta: 17:01:17 time: 1.0168 data_time: 0.1316 memory: 14974 loss_prob: 1.0914 loss_thr: 0.6061 loss_db: 0.1758 loss: 1.8733 08/28 16:36:38 - mmengine - INFO - Epoch(train) [163][45/63] lr: 6.1427e-03 eta: 17:01:17 time: 0.8900 data_time: 0.1279 memory: 14974 loss_prob: 1.0094 loss_thr: 0.5497 loss_db: 0.1639 loss: 1.7231 08/28 16:36:42 - mmengine - INFO - Epoch(train) [163][50/63] lr: 6.1427e-03 eta: 17:00:59 time: 0.8048 data_time: 0.0636 memory: 14974 loss_prob: 0.9731 loss_thr: 0.5461 loss_db: 0.1619 loss: 1.6811 08/28 16:36:46 - mmengine - INFO - Epoch(train) [163][55/63] lr: 6.1427e-03 eta: 17:00:59 time: 0.8476 data_time: 0.0904 memory: 14974 loss_prob: 1.0361 loss_thr: 0.5775 loss_db: 0.1734 loss: 1.7869 08/28 16:36:51 - mmengine - INFO - Epoch(train) [163][60/63] lr: 6.1427e-03 eta: 17:00:47 time: 0.8904 data_time: 0.0885 memory: 14974 loss_prob: 0.9987 loss_thr: 0.5636 loss_db: 0.1618 loss: 1.7241 08/28 16:36:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:36:59 - mmengine - INFO - Epoch(train) [164][5/63] lr: 6.1374e-03 eta: 17:00:47 time: 0.9959 data_time: 0.1959 memory: 14974 loss_prob: 0.9646 loss_thr: 0.5536 loss_db: 0.1577 loss: 1.6758 08/28 16:37:04 - mmengine - INFO - Epoch(train) [164][10/63] lr: 6.1374e-03 eta: 17:00:20 time: 0.9903 data_time: 0.2620 memory: 14974 loss_prob: 1.0093 loss_thr: 0.5605 loss_db: 0.1673 loss: 1.7371 08/28 16:37:08 - mmengine - INFO - Epoch(train) [164][15/63] lr: 6.1374e-03 eta: 17:00:20 time: 0.8659 data_time: 0.1048 memory: 14974 loss_prob: 1.0441 loss_thr: 0.5660 loss_db: 0.1742 loss: 1.7843 08/28 16:37:12 - mmengine - INFO - Epoch(train) [164][20/63] lr: 6.1374e-03 eta: 17:00:03 time: 0.8141 data_time: 0.0515 memory: 14974 loss_prob: 1.0632 loss_thr: 0.5508 loss_db: 0.1742 loss: 1.7882 08/28 16:37:16 - mmengine - INFO - Epoch(train) [164][25/63] lr: 6.1374e-03 eta: 17:00:03 time: 0.8312 data_time: 0.0902 memory: 14974 loss_prob: 0.9913 loss_thr: 0.5407 loss_db: 0.1634 loss: 1.6954 08/28 16:37:20 - mmengine - INFO - Epoch(train) [164][30/63] lr: 6.1374e-03 eta: 16:59:47 time: 0.8264 data_time: 0.0808 memory: 14974 loss_prob: 0.9292 loss_thr: 0.5333 loss_db: 0.1559 loss: 1.6184 08/28 16:37:24 - mmengine - INFO - Epoch(train) [164][35/63] lr: 6.1374e-03 eta: 16:59:47 time: 0.8067 data_time: 0.0512 memory: 14974 loss_prob: 0.9077 loss_thr: 0.5245 loss_db: 0.1481 loss: 1.5804 08/28 16:37:29 - mmengine - INFO - Epoch(train) [164][40/63] lr: 6.1374e-03 eta: 16:59:33 time: 0.8650 data_time: 0.1171 memory: 14974 loss_prob: 0.8696 loss_thr: 0.5211 loss_db: 0.1449 loss: 1.5356 08/28 16:37:33 - mmengine - INFO - Epoch(train) [164][45/63] lr: 6.1374e-03 eta: 16:59:33 time: 0.9136 data_time: 0.1670 memory: 14974 loss_prob: 0.9748 loss_thr: 0.5486 loss_db: 0.1626 loss: 1.6861 08/28 16:37:38 - mmengine - INFO - Epoch(train) [164][50/63] lr: 6.1374e-03 eta: 16:59:22 time: 0.9151 data_time: 0.1203 memory: 14974 loss_prob: 1.0391 loss_thr: 0.5661 loss_db: 0.1716 loss: 1.7768 08/28 16:37:44 - mmengine - INFO - Epoch(train) [164][55/63] lr: 6.1374e-03 eta: 16:59:22 time: 1.0342 data_time: 0.1287 memory: 14974 loss_prob: 1.0214 loss_thr: 0.5769 loss_db: 0.1662 loss: 1.7645 08/28 16:37:48 - mmengine - INFO - Epoch(train) [164][60/63] lr: 6.1374e-03 eta: 16:59:17 time: 1.0069 data_time: 0.1437 memory: 14974 loss_prob: 0.9747 loss_thr: 0.5619 loss_db: 0.1595 loss: 1.6960 08/28 16:37:50 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:37:57 - mmengine - INFO - Epoch(train) [165][5/63] lr: 6.1321e-03 eta: 16:59:17 time: 1.0217 data_time: 0.2269 memory: 14974 loss_prob: 0.9243 loss_thr: 0.5401 loss_db: 0.1554 loss: 1.6199 08/28 16:38:02 - mmengine - INFO - Epoch(train) [165][10/63] lr: 6.1321e-03 eta: 16:59:00 time: 1.1342 data_time: 0.1869 memory: 14974 loss_prob: 0.8823 loss_thr: 0.5229 loss_db: 0.1485 loss: 1.5537 08/28 16:38:07 - mmengine - INFO - Epoch(train) [165][15/63] lr: 6.1321e-03 eta: 16:59:00 time: 1.0526 data_time: 0.1000 memory: 14974 loss_prob: 0.9120 loss_thr: 0.5265 loss_db: 0.1521 loss: 1.5906 08/28 16:38:11 - mmengine - INFO - Epoch(train) [165][20/63] lr: 6.1321e-03 eta: 16:58:51 time: 0.9422 data_time: 0.0920 memory: 14974 loss_prob: 0.8994 loss_thr: 0.5423 loss_db: 0.1482 loss: 1.5899 08/28 16:38:15 - mmengine - INFO - Epoch(train) [165][25/63] lr: 6.1321e-03 eta: 16:58:51 time: 0.7909 data_time: 0.0586 memory: 14974 loss_prob: 0.8283 loss_thr: 0.5276 loss_db: 0.1370 loss: 1.4929 08/28 16:38:20 - mmengine - INFO - Epoch(train) [165][30/63] lr: 6.1321e-03 eta: 16:58:36 time: 0.8591 data_time: 0.0963 memory: 14974 loss_prob: 0.9017 loss_thr: 0.5258 loss_db: 0.1501 loss: 1.5776 08/28 16:38:24 - mmengine - INFO - Epoch(train) [165][35/63] lr: 6.1321e-03 eta: 16:58:36 time: 0.8866 data_time: 0.1090 memory: 14974 loss_prob: 0.9296 loss_thr: 0.5409 loss_db: 0.1569 loss: 1.6274 08/28 16:38:28 - mmengine - INFO - Epoch(train) [165][40/63] lr: 6.1321e-03 eta: 16:58:18 time: 0.7976 data_time: 0.0587 memory: 14974 loss_prob: 0.9605 loss_thr: 0.5387 loss_db: 0.1579 loss: 1.6570 08/28 16:38:32 - mmengine - INFO - Epoch(train) [165][45/63] lr: 6.1321e-03 eta: 16:58:18 time: 0.7925 data_time: 0.0604 memory: 14974 loss_prob: 1.0811 loss_thr: 0.5816 loss_db: 0.1747 loss: 1.8374 08/28 16:38:36 - mmengine - INFO - Epoch(train) [165][50/63] lr: 6.1321e-03 eta: 16:58:02 time: 0.8265 data_time: 0.0818 memory: 14974 loss_prob: 1.0818 loss_thr: 0.5999 loss_db: 0.1772 loss: 1.8589 08/28 16:38:40 - mmengine - INFO - Epoch(train) [165][55/63] lr: 6.1321e-03 eta: 16:58:02 time: 0.8261 data_time: 0.0698 memory: 14974 loss_prob: 1.0241 loss_thr: 0.5561 loss_db: 0.1649 loss: 1.7452 08/28 16:38:45 - mmengine - INFO - Epoch(train) [165][60/63] lr: 6.1321e-03 eta: 16:57:47 time: 0.8502 data_time: 0.1124 memory: 14974 loss_prob: 0.9671 loss_thr: 0.5375 loss_db: 0.1564 loss: 1.6609 08/28 16:38:47 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:38:52 - mmengine - INFO - Epoch(train) [166][5/63] lr: 6.1267e-03 eta: 16:57:47 time: 0.8862 data_time: 0.2010 memory: 14974 loss_prob: 0.9492 loss_thr: 0.5496 loss_db: 0.1594 loss: 1.6581 08/28 16:38:58 - mmengine - INFO - Epoch(train) [166][10/63] lr: 6.1267e-03 eta: 16:57:31 time: 1.1570 data_time: 0.2446 memory: 14974 loss_prob: 0.9252 loss_thr: 0.5473 loss_db: 0.1513 loss: 1.6238 08/28 16:39:03 - mmengine - INFO - Epoch(train) [166][15/63] lr: 6.1267e-03 eta: 16:57:31 time: 1.0571 data_time: 0.1353 memory: 14974 loss_prob: 0.8965 loss_thr: 0.5283 loss_db: 0.1473 loss: 1.5721 08/28 16:39:07 - mmengine - INFO - Epoch(train) [166][20/63] lr: 6.1267e-03 eta: 16:57:18 time: 0.8758 data_time: 0.1302 memory: 14974 loss_prob: 0.9892 loss_thr: 0.5490 loss_db: 0.1626 loss: 1.7008 08/28 16:39:11 - mmengine - INFO - Epoch(train) [166][25/63] lr: 6.1267e-03 eta: 16:57:18 time: 0.8665 data_time: 0.1241 memory: 14974 loss_prob: 0.9607 loss_thr: 0.5614 loss_db: 0.1566 loss: 1.6787 08/28 16:39:17 - mmengine - INFO - Epoch(train) [166][30/63] lr: 6.1267e-03 eta: 16:57:11 time: 0.9765 data_time: 0.0768 memory: 14974 loss_prob: 1.0546 loss_thr: 0.5633 loss_db: 0.1758 loss: 1.7937 08/28 16:39:21 - mmengine - INFO - Epoch(train) [166][35/63] lr: 6.1267e-03 eta: 16:57:11 time: 1.0030 data_time: 0.0912 memory: 14974 loss_prob: 1.1568 loss_thr: 0.5865 loss_db: 0.1900 loss: 1.9333 08/28 16:39:26 - mmengine - INFO - Epoch(train) [166][40/63] lr: 6.1267e-03 eta: 16:57:02 time: 0.9396 data_time: 0.0867 memory: 14974 loss_prob: 1.0687 loss_thr: 0.5793 loss_db: 0.1718 loss: 1.8198 08/28 16:39:30 - mmengine - INFO - Epoch(train) [166][45/63] lr: 6.1267e-03 eta: 16:57:02 time: 0.9170 data_time: 0.0554 memory: 14974 loss_prob: 1.0484 loss_thr: 0.5763 loss_db: 0.1736 loss: 1.7982 08/28 16:39:35 - mmengine - INFO - Epoch(train) [166][50/63] lr: 6.1267e-03 eta: 16:56:48 time: 0.8580 data_time: 0.0949 memory: 14974 loss_prob: 0.9384 loss_thr: 0.5596 loss_db: 0.1559 loss: 1.6540 08/28 16:39:39 - mmengine - INFO - Epoch(train) [166][55/63] lr: 6.1267e-03 eta: 16:56:48 time: 0.8240 data_time: 0.0930 memory: 14974 loss_prob: 0.9796 loss_thr: 0.5625 loss_db: 0.1623 loss: 1.7045 08/28 16:39:43 - mmengine - INFO - Epoch(train) [166][60/63] lr: 6.1267e-03 eta: 16:56:32 time: 0.8271 data_time: 0.0669 memory: 14974 loss_prob: 1.2404 loss_thr: 0.6000 loss_db: 0.2047 loss: 2.0451 08/28 16:39:45 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:39:50 - mmengine - INFO - Epoch(train) [167][5/63] lr: 6.1214e-03 eta: 16:56:32 time: 0.9213 data_time: 0.1953 memory: 14974 loss_prob: 1.1117 loss_thr: 0.5944 loss_db: 0.1811 loss: 1.8872 08/28 16:39:54 - mmengine - INFO - Epoch(train) [167][10/63] lr: 6.1214e-03 eta: 16:56:00 time: 0.9095 data_time: 0.1790 memory: 14974 loss_prob: 1.1447 loss_thr: 0.5953 loss_db: 0.1880 loss: 1.9281 08/28 16:39:59 - mmengine - INFO - Epoch(train) [167][15/63] lr: 6.1214e-03 eta: 16:56:00 time: 0.8358 data_time: 0.1069 memory: 14974 loss_prob: 1.2767 loss_thr: 0.6302 loss_db: 0.2088 loss: 2.1157 08/28 16:40:03 - mmengine - INFO - Epoch(train) [167][20/63] lr: 6.1214e-03 eta: 16:55:45 time: 0.8366 data_time: 0.1165 memory: 14974 loss_prob: 1.2655 loss_thr: 0.6045 loss_db: 0.2037 loss: 2.0737 08/28 16:40:07 - mmengine - INFO - Epoch(train) [167][25/63] lr: 6.1214e-03 eta: 16:55:45 time: 0.8031 data_time: 0.0927 memory: 14974 loss_prob: 1.1267 loss_thr: 0.5704 loss_db: 0.1799 loss: 1.8770 08/28 16:40:11 - mmengine - INFO - Epoch(train) [167][30/63] lr: 6.1214e-03 eta: 16:55:31 time: 0.8698 data_time: 0.1481 memory: 14974 loss_prob: 1.1943 loss_thr: 0.5819 loss_db: 0.1935 loss: 1.9696 08/28 16:40:16 - mmengine - INFO - Epoch(train) [167][35/63] lr: 6.1214e-03 eta: 16:55:31 time: 0.8839 data_time: 0.1212 memory: 14974 loss_prob: 1.3008 loss_thr: 0.5918 loss_db: 0.2068 loss: 2.0993 08/28 16:40:21 - mmengine - INFO - Epoch(train) [167][40/63] lr: 6.1214e-03 eta: 16:55:24 time: 0.9602 data_time: 0.0859 memory: 14974 loss_prob: 1.1692 loss_thr: 0.5675 loss_db: 0.1837 loss: 1.9203 08/28 16:40:26 - mmengine - INFO - Epoch(train) [167][45/63] lr: 6.1214e-03 eta: 16:55:24 time: 1.0144 data_time: 0.1331 memory: 14974 loss_prob: 1.0703 loss_thr: 0.5612 loss_db: 0.1731 loss: 1.8046 08/28 16:40:30 - mmengine - INFO - Epoch(train) [167][50/63] lr: 6.1214e-03 eta: 16:55:11 time: 0.8790 data_time: 0.1198 memory: 14974 loss_prob: 1.0807 loss_thr: 0.5730 loss_db: 0.1730 loss: 1.8268 08/28 16:40:35 - mmengine - INFO - Epoch(train) [167][55/63] lr: 6.1214e-03 eta: 16:55:11 time: 0.8872 data_time: 0.0753 memory: 14974 loss_prob: 1.0070 loss_thr: 0.5531 loss_db: 0.1605 loss: 1.7206 08/28 16:40:40 - mmengine - INFO - Epoch(train) [167][60/63] lr: 6.1214e-03 eta: 16:55:05 time: 0.9991 data_time: 0.0961 memory: 14974 loss_prob: 0.9786 loss_thr: 0.5553 loss_db: 0.1583 loss: 1.6922 08/28 16:40:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:40:48 - mmengine - INFO - Epoch(train) [168][5/63] lr: 6.1161e-03 eta: 16:55:05 time: 0.9625 data_time: 0.2350 memory: 14974 loss_prob: 1.0408 loss_thr: 0.5756 loss_db: 0.1732 loss: 1.7895 08/28 16:40:52 - mmengine - INFO - Epoch(train) [168][10/63] lr: 6.1161e-03 eta: 16:54:39 time: 0.9932 data_time: 0.2464 memory: 14974 loss_prob: 0.9657 loss_thr: 0.5389 loss_db: 0.1556 loss: 1.6601 08/28 16:40:56 - mmengine - INFO - Epoch(train) [168][15/63] lr: 6.1161e-03 eta: 16:54:39 time: 0.8121 data_time: 0.0818 memory: 14974 loss_prob: 1.0629 loss_thr: 0.5502 loss_db: 0.1704 loss: 1.7835 08/28 16:41:00 - mmengine - INFO - Epoch(train) [168][20/63] lr: 6.1161e-03 eta: 16:54:21 time: 0.7885 data_time: 0.0650 memory: 14974 loss_prob: 1.0885 loss_thr: 0.5646 loss_db: 0.1796 loss: 1.8326 08/28 16:41:05 - mmengine - INFO - Epoch(train) [168][25/63] lr: 6.1161e-03 eta: 16:54:21 time: 0.9304 data_time: 0.1099 memory: 14974 loss_prob: 1.0091 loss_thr: 0.5580 loss_db: 0.1651 loss: 1.7321 08/28 16:41:09 - mmengine - INFO - Epoch(train) [168][30/63] lr: 6.1161e-03 eta: 16:54:12 time: 0.9384 data_time: 0.1019 memory: 14974 loss_prob: 0.8715 loss_thr: 0.5326 loss_db: 0.1431 loss: 1.5473 08/28 16:41:13 - mmengine - INFO - Epoch(train) [168][35/63] lr: 6.1161e-03 eta: 16:54:12 time: 0.7815 data_time: 0.0433 memory: 14974 loss_prob: 0.9057 loss_thr: 0.5342 loss_db: 0.1484 loss: 1.5883 08/28 16:41:17 - mmengine - INFO - Epoch(train) [168][40/63] lr: 6.1161e-03 eta: 16:53:53 time: 0.7929 data_time: 0.0575 memory: 14974 loss_prob: 1.0681 loss_thr: 0.5802 loss_db: 0.1702 loss: 1.8184 08/28 16:41:22 - mmengine - INFO - Epoch(train) [168][45/63] lr: 6.1161e-03 eta: 16:53:53 time: 0.8633 data_time: 0.0669 memory: 14974 loss_prob: 1.0428 loss_thr: 0.5897 loss_db: 0.1695 loss: 1.8020 08/28 16:41:26 - mmengine - INFO - Epoch(train) [168][50/63] lr: 6.1161e-03 eta: 16:53:40 time: 0.8682 data_time: 0.0712 memory: 14974 loss_prob: 0.9262 loss_thr: 0.5469 loss_db: 0.1554 loss: 1.6285 08/28 16:41:30 - mmengine - INFO - Epoch(train) [168][55/63] lr: 6.1161e-03 eta: 16:53:40 time: 0.8436 data_time: 0.1170 memory: 14974 loss_prob: 0.9947 loss_thr: 0.5529 loss_db: 0.1650 loss: 1.7126 08/28 16:41:35 - mmengine - INFO - Epoch(train) [168][60/63] lr: 6.1161e-03 eta: 16:53:27 time: 0.8721 data_time: 0.1248 memory: 14974 loss_prob: 1.0559 loss_thr: 0.5770 loss_db: 0.1746 loss: 1.8075 08/28 16:41:37 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:41:43 - mmengine - INFO - Epoch(train) [169][5/63] lr: 6.1107e-03 eta: 16:53:27 time: 0.9824 data_time: 0.2118 memory: 14974 loss_prob: 0.8987 loss_thr: 0.5271 loss_db: 0.1472 loss: 1.5730 08/28 16:41:48 - mmengine - INFO - Epoch(train) [169][10/63] lr: 6.1107e-03 eta: 16:53:10 time: 1.1402 data_time: 0.2631 memory: 14974 loss_prob: 0.8560 loss_thr: 0.5158 loss_db: 0.1443 loss: 1.5161 08/28 16:41:53 - mmengine - INFO - Epoch(train) [169][15/63] lr: 6.1107e-03 eta: 16:53:10 time: 0.9677 data_time: 0.1237 memory: 14974 loss_prob: 0.9339 loss_thr: 0.5437 loss_db: 0.1515 loss: 1.6291 08/28 16:41:57 - mmengine - INFO - Epoch(train) [169][20/63] lr: 6.1107e-03 eta: 16:52:56 time: 0.8532 data_time: 0.0634 memory: 14974 loss_prob: 1.0875 loss_thr: 0.5810 loss_db: 0.1699 loss: 1.8384 08/28 16:42:02 - mmengine - INFO - Epoch(train) [169][25/63] lr: 6.1107e-03 eta: 16:52:56 time: 0.9604 data_time: 0.1333 memory: 14974 loss_prob: 1.0776 loss_thr: 0.5719 loss_db: 0.1722 loss: 1.8218 08/28 16:42:07 - mmengine - INFO - Epoch(train) [169][30/63] lr: 6.1107e-03 eta: 16:52:52 time: 1.0274 data_time: 0.1273 memory: 14974 loss_prob: 1.0095 loss_thr: 0.5536 loss_db: 0.1646 loss: 1.7277 08/28 16:42:11 - mmengine - INFO - Epoch(train) [169][35/63] lr: 6.1107e-03 eta: 16:52:52 time: 0.9093 data_time: 0.0760 memory: 14974 loss_prob: 0.9652 loss_thr: 0.5160 loss_db: 0.1616 loss: 1.6428 08/28 16:42:16 - mmengine - INFO - Epoch(train) [169][40/63] lr: 6.1107e-03 eta: 16:52:39 time: 0.8844 data_time: 0.0778 memory: 14974 loss_prob: 0.9932 loss_thr: 0.5417 loss_db: 0.1648 loss: 1.6997 08/28 16:42:20 - mmengine - INFO - Epoch(train) [169][45/63] lr: 6.1107e-03 eta: 16:52:39 time: 0.8661 data_time: 0.0625 memory: 14974 loss_prob: 0.9895 loss_thr: 0.5666 loss_db: 0.1611 loss: 1.7172 08/28 16:42:24 - mmengine - INFO - Epoch(train) [169][50/63] lr: 6.1107e-03 eta: 16:52:24 time: 0.8280 data_time: 0.1049 memory: 14974 loss_prob: 0.8755 loss_thr: 0.5242 loss_db: 0.1452 loss: 1.5448 08/28 16:42:28 - mmengine - INFO - Epoch(train) [169][55/63] lr: 6.1107e-03 eta: 16:52:24 time: 0.8326 data_time: 0.0992 memory: 14974 loss_prob: 0.8943 loss_thr: 0.5359 loss_db: 0.1466 loss: 1.5769 08/28 16:42:33 - mmengine - INFO - Epoch(train) [169][60/63] lr: 6.1107e-03 eta: 16:52:08 time: 0.8398 data_time: 0.0688 memory: 14974 loss_prob: 0.9207 loss_thr: 0.5517 loss_db: 0.1529 loss: 1.6252 08/28 16:42:35 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:42:41 - mmengine - INFO - Epoch(train) [170][5/63] lr: 6.1054e-03 eta: 16:52:08 time: 0.9198 data_time: 0.1998 memory: 14974 loss_prob: 0.8529 loss_thr: 0.5169 loss_db: 0.1426 loss: 1.5124 08/28 16:42:45 - mmengine - INFO - Epoch(train) [170][10/63] lr: 6.1054e-03 eta: 16:51:40 time: 0.9424 data_time: 0.1881 memory: 14974 loss_prob: 0.8836 loss_thr: 0.5273 loss_db: 0.1446 loss: 1.5555 08/28 16:42:49 - mmengine - INFO - Epoch(train) [170][15/63] lr: 6.1054e-03 eta: 16:51:40 time: 0.8783 data_time: 0.1023 memory: 14974 loss_prob: 0.9033 loss_thr: 0.5357 loss_db: 0.1520 loss: 1.5910 08/28 16:42:53 - mmengine - INFO - Epoch(train) [170][20/63] lr: 6.1054e-03 eta: 16:51:27 time: 0.8841 data_time: 0.1105 memory: 14974 loss_prob: 0.8699 loss_thr: 0.5233 loss_db: 0.1470 loss: 1.5402 08/28 16:42:57 - mmengine - INFO - Epoch(train) [170][25/63] lr: 6.1054e-03 eta: 16:51:27 time: 0.7995 data_time: 0.0693 memory: 14974 loss_prob: 0.8212 loss_thr: 0.5097 loss_db: 0.1351 loss: 1.4661 08/28 16:43:02 - mmengine - INFO - Epoch(train) [170][30/63] lr: 6.1054e-03 eta: 16:51:13 time: 0.8533 data_time: 0.1130 memory: 14974 loss_prob: 0.9530 loss_thr: 0.5379 loss_db: 0.1593 loss: 1.6503 08/28 16:43:08 - mmengine - INFO - Epoch(train) [170][35/63] lr: 6.1054e-03 eta: 16:51:13 time: 1.0797 data_time: 0.1256 memory: 14974 loss_prob: 1.0585 loss_thr: 0.5673 loss_db: 0.1748 loss: 1.8006 08/28 16:43:13 - mmengine - INFO - Epoch(train) [170][40/63] lr: 6.1054e-03 eta: 16:51:13 time: 1.0879 data_time: 0.1342 memory: 14974 loss_prob: 0.9962 loss_thr: 0.5547 loss_db: 0.1623 loss: 1.7132 08/28 16:43:17 - mmengine - INFO - Epoch(train) [170][45/63] lr: 6.1054e-03 eta: 16:51:13 time: 0.8672 data_time: 0.1214 memory: 14974 loss_prob: 0.9766 loss_thr: 0.5568 loss_db: 0.1613 loss: 1.6947 08/28 16:43:22 - mmengine - INFO - Epoch(train) [170][50/63] lr: 6.1054e-03 eta: 16:51:02 time: 0.9138 data_time: 0.0710 memory: 14974 loss_prob: 0.9190 loss_thr: 0.5484 loss_db: 0.1531 loss: 1.6205 08/28 16:43:27 - mmengine - INFO - Epoch(train) [170][55/63] lr: 6.1054e-03 eta: 16:51:02 time: 0.9992 data_time: 0.1037 memory: 14974 loss_prob: 0.9819 loss_thr: 0.5633 loss_db: 0.1639 loss: 1.7092 08/28 16:43:31 - mmengine - INFO - Epoch(train) [170][60/63] lr: 6.1054e-03 eta: 16:50:49 time: 0.8770 data_time: 0.0890 memory: 14974 loss_prob: 0.9856 loss_thr: 0.5609 loss_db: 0.1640 loss: 1.7105 08/28 16:43:33 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:43:39 - mmengine - INFO - Epoch(train) [171][5/63] lr: 6.1001e-03 eta: 16:50:49 time: 0.9583 data_time: 0.1786 memory: 14974 loss_prob: 0.8980 loss_thr: 0.5169 loss_db: 0.1511 loss: 1.5660 08/28 16:43:43 - mmengine - INFO - Epoch(train) [171][10/63] lr: 6.1001e-03 eta: 16:50:25 time: 1.0176 data_time: 0.2399 memory: 14974 loss_prob: 0.8382 loss_thr: 0.5298 loss_db: 0.1369 loss: 1.5049 08/28 16:43:47 - mmengine - INFO - Epoch(train) [171][15/63] lr: 6.1001e-03 eta: 16:50:25 time: 0.8320 data_time: 0.1024 memory: 14974 loss_prob: 0.9194 loss_thr: 0.5507 loss_db: 0.1518 loss: 1.6220 08/28 16:43:51 - mmengine - INFO - Epoch(train) [171][20/63] lr: 6.1001e-03 eta: 16:50:07 time: 0.7898 data_time: 0.0554 memory: 14974 loss_prob: 0.9386 loss_thr: 0.5301 loss_db: 0.1530 loss: 1.6217 08/28 16:43:56 - mmengine - INFO - Epoch(train) [171][25/63] lr: 6.1001e-03 eta: 16:50:07 time: 0.8725 data_time: 0.0819 memory: 14974 loss_prob: 0.9115 loss_thr: 0.5267 loss_db: 0.1476 loss: 1.5859 08/28 16:44:00 - mmengine - INFO - Epoch(train) [171][30/63] lr: 6.1001e-03 eta: 16:49:53 time: 0.8609 data_time: 0.0713 memory: 14974 loss_prob: 0.8985 loss_thr: 0.5274 loss_db: 0.1481 loss: 1.5740 08/28 16:44:04 - mmengine - INFO - Epoch(train) [171][35/63] lr: 6.1001e-03 eta: 16:49:53 time: 0.7732 data_time: 0.0503 memory: 14974 loss_prob: 0.9504 loss_thr: 0.5201 loss_db: 0.1614 loss: 1.6319 08/28 16:44:08 - mmengine - INFO - Epoch(train) [171][40/63] lr: 6.1001e-03 eta: 16:49:38 time: 0.8317 data_time: 0.1162 memory: 14974 loss_prob: 0.9729 loss_thr: 0.5265 loss_db: 0.1628 loss: 1.6621 08/28 16:44:12 - mmengine - INFO - Epoch(train) [171][45/63] lr: 6.1001e-03 eta: 16:49:38 time: 0.8426 data_time: 0.1206 memory: 14974 loss_prob: 0.9816 loss_thr: 0.5374 loss_db: 0.1630 loss: 1.6819 08/28 16:44:17 - mmengine - INFO - Epoch(train) [171][50/63] lr: 6.1001e-03 eta: 16:49:26 time: 0.8936 data_time: 0.0885 memory: 14974 loss_prob: 0.9790 loss_thr: 0.5349 loss_db: 0.1631 loss: 1.6770 08/28 16:44:23 - mmengine - INFO - Epoch(train) [171][55/63] lr: 6.1001e-03 eta: 16:49:26 time: 1.0507 data_time: 0.1494 memory: 14974 loss_prob: 0.9391 loss_thr: 0.5300 loss_db: 0.1529 loss: 1.6220 08/28 16:44:27 - mmengine - INFO - Epoch(train) [171][60/63] lr: 6.1001e-03 eta: 16:49:18 time: 0.9564 data_time: 0.1329 memory: 14974 loss_prob: 0.9561 loss_thr: 0.5458 loss_db: 0.1593 loss: 1.6611 08/28 16:44:29 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:44:34 - mmengine - INFO - Epoch(train) [172][5/63] lr: 6.0947e-03 eta: 16:49:18 time: 0.8852 data_time: 0.1614 memory: 14974 loss_prob: 0.9976 loss_thr: 0.5768 loss_db: 0.1623 loss: 1.7367 08/28 16:44:40 - mmengine - INFO - Epoch(train) [172][10/63] lr: 6.0947e-03 eta: 16:49:02 time: 1.1491 data_time: 0.2047 memory: 14974 loss_prob: 0.9953 loss_thr: 0.5835 loss_db: 0.1642 loss: 1.7431 08/28 16:44:45 - mmengine - INFO - Epoch(train) [172][15/63] lr: 6.0947e-03 eta: 16:49:02 time: 1.0969 data_time: 0.0964 memory: 14974 loss_prob: 0.9026 loss_thr: 0.5581 loss_db: 0.1510 loss: 1.6117 08/28 16:44:49 - mmengine - INFO - Epoch(train) [172][20/63] lr: 6.0947e-03 eta: 16:48:52 time: 0.9230 data_time: 0.0888 memory: 14974 loss_prob: 0.8262 loss_thr: 0.5278 loss_db: 0.1376 loss: 1.4917 08/28 16:44:53 - mmengine - INFO - Epoch(train) [172][25/63] lr: 6.0947e-03 eta: 16:48:52 time: 0.8342 data_time: 0.0881 memory: 14974 loss_prob: 0.8926 loss_thr: 0.5518 loss_db: 0.1489 loss: 1.5934 08/28 16:44:57 - mmengine - INFO - Epoch(train) [172][30/63] lr: 6.0947e-03 eta: 16:48:33 time: 0.7712 data_time: 0.0501 memory: 14974 loss_prob: 1.0558 loss_thr: 0.5614 loss_db: 0.1724 loss: 1.7897 08/28 16:45:02 - mmengine - INFO - Epoch(train) [172][35/63] lr: 6.0947e-03 eta: 16:48:33 time: 0.8378 data_time: 0.1068 memory: 14974 loss_prob: 0.9913 loss_thr: 0.5401 loss_db: 0.1604 loss: 1.6918 08/28 16:45:06 - mmengine - INFO - Epoch(train) [172][40/63] lr: 6.0947e-03 eta: 16:48:20 time: 0.8805 data_time: 0.1028 memory: 14974 loss_prob: 0.9567 loss_thr: 0.5341 loss_db: 0.1517 loss: 1.6425 08/28 16:45:10 - mmengine - INFO - Epoch(train) [172][45/63] lr: 6.0947e-03 eta: 16:48:20 time: 0.8138 data_time: 0.0496 memory: 14974 loss_prob: 0.9737 loss_thr: 0.5407 loss_db: 0.1558 loss: 1.6702 08/28 16:45:14 - mmengine - INFO - Epoch(train) [172][50/63] lr: 6.0947e-03 eta: 16:48:03 time: 0.7993 data_time: 0.0699 memory: 14974 loss_prob: 0.9284 loss_thr: 0.5410 loss_db: 0.1528 loss: 1.6222 08/28 16:45:18 - mmengine - INFO - Epoch(train) [172][55/63] lr: 6.0947e-03 eta: 16:48:03 time: 0.8156 data_time: 0.0720 memory: 14974 loss_prob: 0.9269 loss_thr: 0.5209 loss_db: 0.1516 loss: 1.5994 08/28 16:45:22 - mmengine - INFO - Epoch(train) [172][60/63] lr: 6.0947e-03 eta: 16:47:46 time: 0.8002 data_time: 0.0612 memory: 14974 loss_prob: 0.8758 loss_thr: 0.5154 loss_db: 0.1465 loss: 1.5377 08/28 16:45:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:45:31 - mmengine - INFO - Epoch(train) [173][5/63] lr: 6.0894e-03 eta: 16:47:46 time: 1.0422 data_time: 0.2820 memory: 14974 loss_prob: 0.9533 loss_thr: 0.5617 loss_db: 0.1567 loss: 1.6718 08/28 16:45:36 - mmengine - INFO - Epoch(train) [173][10/63] lr: 6.0894e-03 eta: 16:47:21 time: 1.0035 data_time: 0.2048 memory: 14974 loss_prob: 1.0318 loss_thr: 0.5737 loss_db: 0.1672 loss: 1.7727 08/28 16:45:41 - mmengine - INFO - Epoch(train) [173][15/63] lr: 6.0894e-03 eta: 16:47:21 time: 0.9756 data_time: 0.1192 memory: 14974 loss_prob: 0.9637 loss_thr: 0.5504 loss_db: 0.1612 loss: 1.6754 08/28 16:45:45 - mmengine - INFO - Epoch(train) [173][20/63] lr: 6.0894e-03 eta: 16:47:14 time: 0.9679 data_time: 0.1204 memory: 14974 loss_prob: 0.8293 loss_thr: 0.5113 loss_db: 0.1354 loss: 1.4761 08/28 16:45:49 - mmengine - INFO - Epoch(train) [173][25/63] lr: 6.0894e-03 eta: 16:47:14 time: 0.8563 data_time: 0.0675 memory: 14974 loss_prob: 0.7937 loss_thr: 0.5054 loss_db: 0.1300 loss: 1.4292 08/28 16:45:54 - mmengine - INFO - Epoch(train) [173][30/63] lr: 6.0894e-03 eta: 16:47:03 time: 0.9153 data_time: 0.1337 memory: 14974 loss_prob: 0.8435 loss_thr: 0.5176 loss_db: 0.1435 loss: 1.5045 08/28 16:45:59 - mmengine - INFO - Epoch(train) [173][35/63] lr: 6.0894e-03 eta: 16:47:03 time: 0.9683 data_time: 0.1325 memory: 14974 loss_prob: 0.9245 loss_thr: 0.5227 loss_db: 0.1497 loss: 1.5968 08/28 16:46:03 - mmengine - INFO - Epoch(train) [173][40/63] lr: 6.0894e-03 eta: 16:46:50 time: 0.8617 data_time: 0.0539 memory: 14974 loss_prob: 0.9427 loss_thr: 0.5363 loss_db: 0.1513 loss: 1.6303 08/28 16:46:08 - mmengine - INFO - Epoch(train) [173][45/63] lr: 6.0894e-03 eta: 16:46:50 time: 0.8778 data_time: 0.0905 memory: 14974 loss_prob: 0.9458 loss_thr: 0.5688 loss_db: 0.1566 loss: 1.6712 08/28 16:46:12 - mmengine - INFO - Epoch(train) [173][50/63] lr: 6.0894e-03 eta: 16:46:36 time: 0.8546 data_time: 0.0972 memory: 14974 loss_prob: 0.9480 loss_thr: 0.5585 loss_db: 0.1574 loss: 1.6640 08/28 16:46:15 - mmengine - INFO - Epoch(train) [173][55/63] lr: 6.0894e-03 eta: 16:46:36 time: 0.7771 data_time: 0.0509 memory: 14974 loss_prob: 0.8587 loss_thr: 0.4979 loss_db: 0.1406 loss: 1.4971 08/28 16:46:20 - mmengine - INFO - Epoch(train) [173][60/63] lr: 6.0894e-03 eta: 16:46:20 time: 0.8231 data_time: 0.0962 memory: 14974 loss_prob: 0.8836 loss_thr: 0.5033 loss_db: 0.1423 loss: 1.5291 08/28 16:46:22 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:46:27 - mmengine - INFO - Epoch(train) [174][5/63] lr: 6.0841e-03 eta: 16:46:20 time: 0.9146 data_time: 0.1685 memory: 14974 loss_prob: 0.9464 loss_thr: 0.5546 loss_db: 0.1594 loss: 1.6604 08/28 16:46:32 - mmengine - INFO - Epoch(train) [174][10/63] lr: 6.0841e-03 eta: 16:45:53 time: 0.9727 data_time: 0.1858 memory: 14974 loss_prob: 0.9118 loss_thr: 0.5422 loss_db: 0.1481 loss: 1.6022 08/28 16:46:36 - mmengine - INFO - Epoch(train) [174][15/63] lr: 6.0841e-03 eta: 16:45:53 time: 0.8147 data_time: 0.0796 memory: 14974 loss_prob: 0.8317 loss_thr: 0.5149 loss_db: 0.1344 loss: 1.4811 08/28 16:46:40 - mmengine - INFO - Epoch(train) [174][20/63] lr: 6.0841e-03 eta: 16:45:36 time: 0.7957 data_time: 0.0703 memory: 14974 loss_prob: 0.9305 loss_thr: 0.5253 loss_db: 0.1575 loss: 1.6133 08/28 16:46:44 - mmengine - INFO - Epoch(train) [174][25/63] lr: 6.0841e-03 eta: 16:45:36 time: 0.8841 data_time: 0.1197 memory: 14974 loss_prob: 0.9842 loss_thr: 0.5397 loss_db: 0.1644 loss: 1.6883 08/28 16:46:48 - mmengine - INFO - Epoch(train) [174][30/63] lr: 6.0841e-03 eta: 16:45:24 time: 0.8835 data_time: 0.1163 memory: 14974 loss_prob: 0.8772 loss_thr: 0.5057 loss_db: 0.1443 loss: 1.5272 08/28 16:46:53 - mmengine - INFO - Epoch(train) [174][35/63] lr: 6.0841e-03 eta: 16:45:24 time: 0.8719 data_time: 0.0678 memory: 14974 loss_prob: 0.9240 loss_thr: 0.5234 loss_db: 0.1539 loss: 1.6013 08/28 16:46:58 - mmengine - INFO - Epoch(train) [174][40/63] lr: 6.0841e-03 eta: 16:45:19 time: 1.0044 data_time: 0.1235 memory: 14974 loss_prob: 0.9954 loss_thr: 0.5498 loss_db: 0.1625 loss: 1.7076 08/28 16:47:02 - mmengine - INFO - Epoch(train) [174][45/63] lr: 6.0841e-03 eta: 16:45:19 time: 0.9133 data_time: 0.1189 memory: 14974 loss_prob: 0.9867 loss_thr: 0.5577 loss_db: 0.1589 loss: 1.7033 08/28 16:47:07 - mmengine - INFO - Epoch(train) [174][50/63] lr: 6.0841e-03 eta: 16:45:07 time: 0.9004 data_time: 0.0910 memory: 14974 loss_prob: 0.9643 loss_thr: 0.5487 loss_db: 0.1558 loss: 1.6688 08/28 16:47:13 - mmengine - INFO - Epoch(train) [174][55/63] lr: 6.0841e-03 eta: 16:45:07 time: 1.0627 data_time: 0.1312 memory: 14974 loss_prob: 0.9685 loss_thr: 0.5423 loss_db: 0.1552 loss: 1.6660 08/28 16:47:17 - mmengine - INFO - Epoch(train) [174][60/63] lr: 6.0841e-03 eta: 16:44:59 time: 0.9570 data_time: 0.0967 memory: 14974 loss_prob: 0.9137 loss_thr: 0.5240 loss_db: 0.1495 loss: 1.5871 08/28 16:47:19 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:47:24 - mmengine - INFO - Epoch(train) [175][5/63] lr: 6.0787e-03 eta: 16:44:59 time: 0.8874 data_time: 0.1512 memory: 14974 loss_prob: 0.8789 loss_thr: 0.5206 loss_db: 0.1479 loss: 1.5474 08/28 16:47:29 - mmengine - INFO - Epoch(train) [175][10/63] lr: 6.0787e-03 eta: 16:44:34 time: 0.9906 data_time: 0.2127 memory: 14974 loss_prob: 0.8641 loss_thr: 0.5161 loss_db: 0.1430 loss: 1.5233 08/28 16:47:33 - mmengine - INFO - Epoch(train) [175][15/63] lr: 6.0787e-03 eta: 16:44:34 time: 0.8331 data_time: 0.1054 memory: 14974 loss_prob: 0.8597 loss_thr: 0.5202 loss_db: 0.1419 loss: 1.5218 08/28 16:47:37 - mmengine - INFO - Epoch(train) [175][20/63] lr: 6.0787e-03 eta: 16:44:20 time: 0.8504 data_time: 0.0564 memory: 14974 loss_prob: 0.8680 loss_thr: 0.5217 loss_db: 0.1412 loss: 1.5309 08/28 16:47:41 - mmengine - INFO - Epoch(train) [175][25/63] lr: 6.0787e-03 eta: 16:44:20 time: 0.8724 data_time: 0.0779 memory: 14974 loss_prob: 0.8664 loss_thr: 0.5282 loss_db: 0.1435 loss: 1.5381 08/28 16:47:45 - mmengine - INFO - Epoch(train) [175][30/63] lr: 6.0787e-03 eta: 16:44:02 time: 0.7870 data_time: 0.0608 memory: 14974 loss_prob: 0.8670 loss_thr: 0.5313 loss_db: 0.1452 loss: 1.5435 08/28 16:47:49 - mmengine - INFO - Epoch(train) [175][35/63] lr: 6.0787e-03 eta: 16:44:02 time: 0.7802 data_time: 0.0502 memory: 14974 loss_prob: 0.9430 loss_thr: 0.5566 loss_db: 0.1542 loss: 1.6537 08/28 16:47:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:47:54 - mmengine - INFO - Epoch(train) [175][40/63] lr: 6.0787e-03 eta: 16:43:51 time: 0.9024 data_time: 0.1360 memory: 14974 loss_prob: 0.9710 loss_thr: 0.5615 loss_db: 0.1612 loss: 1.6938 08/28 16:47:58 - mmengine - INFO - Epoch(train) [175][45/63] lr: 6.0787e-03 eta: 16:43:51 time: 0.9053 data_time: 0.1383 memory: 14974 loss_prob: 0.8637 loss_thr: 0.5269 loss_db: 0.1421 loss: 1.5326 08/28 16:48:03 - mmengine - INFO - Epoch(train) [175][50/63] lr: 6.0787e-03 eta: 16:43:36 time: 0.8381 data_time: 0.0713 memory: 14974 loss_prob: 0.8422 loss_thr: 0.5311 loss_db: 0.1341 loss: 1.5075 08/28 16:48:08 - mmengine - INFO - Epoch(train) [175][55/63] lr: 6.0787e-03 eta: 16:43:36 time: 0.9713 data_time: 0.1168 memory: 14974 loss_prob: 0.8792 loss_thr: 0.5417 loss_db: 0.1435 loss: 1.5644 08/28 16:48:12 - mmengine - INFO - Epoch(train) [175][60/63] lr: 6.0787e-03 eta: 16:43:27 time: 0.9376 data_time: 0.1235 memory: 14974 loss_prob: 0.8651 loss_thr: 0.5377 loss_db: 0.1471 loss: 1.5498 08/28 16:48:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:48:20 - mmengine - INFO - Epoch(train) [176][5/63] lr: 6.0734e-03 eta: 16:43:27 time: 0.9739 data_time: 0.1906 memory: 14974 loss_prob: 1.0030 loss_thr: 0.5602 loss_db: 0.1680 loss: 1.7312 08/28 16:48:26 - mmengine - INFO - Epoch(train) [176][10/63] lr: 6.0734e-03 eta: 16:43:08 time: 1.0882 data_time: 0.2255 memory: 14974 loss_prob: 1.0850 loss_thr: 0.5729 loss_db: 0.1803 loss: 1.8382 08/28 16:48:31 - mmengine - INFO - Epoch(train) [176][15/63] lr: 6.0734e-03 eta: 16:43:08 time: 1.0142 data_time: 0.0882 memory: 14974 loss_prob: 0.9718 loss_thr: 0.5541 loss_db: 0.1652 loss: 1.6911 08/28 16:48:35 - mmengine - INFO - Epoch(train) [176][20/63] lr: 6.0734e-03 eta: 16:42:59 time: 0.9392 data_time: 0.0824 memory: 14974 loss_prob: 0.9100 loss_thr: 0.5597 loss_db: 0.1549 loss: 1.6246 08/28 16:48:39 - mmengine - INFO - Epoch(train) [176][25/63] lr: 6.0734e-03 eta: 16:42:59 time: 0.8669 data_time: 0.0850 memory: 14974 loss_prob: 0.8899 loss_thr: 0.5513 loss_db: 0.1464 loss: 1.5876 08/28 16:48:43 - mmengine - INFO - Epoch(train) [176][30/63] lr: 6.0734e-03 eta: 16:42:41 time: 0.7902 data_time: 0.0432 memory: 14974 loss_prob: 0.8331 loss_thr: 0.5160 loss_db: 0.1389 loss: 1.4880 08/28 16:48:48 - mmengine - INFO - Epoch(train) [176][35/63] lr: 6.0734e-03 eta: 16:42:41 time: 0.8510 data_time: 0.1050 memory: 14974 loss_prob: 0.8730 loss_thr: 0.5374 loss_db: 0.1465 loss: 1.5569 08/28 16:48:52 - mmengine - INFO - Epoch(train) [176][40/63] lr: 6.0734e-03 eta: 16:42:27 time: 0.8423 data_time: 0.1059 memory: 14974 loss_prob: 0.8604 loss_thr: 0.5291 loss_db: 0.1416 loss: 1.5311 08/28 16:48:56 - mmengine - INFO - Epoch(train) [176][45/63] lr: 6.0734e-03 eta: 16:42:27 time: 0.8448 data_time: 0.0451 memory: 14974 loss_prob: 0.8943 loss_thr: 0.5091 loss_db: 0.1447 loss: 1.5481 08/28 16:49:01 - mmengine - INFO - Epoch(train) [176][50/63] lr: 6.0734e-03 eta: 16:42:17 time: 0.9158 data_time: 0.1212 memory: 14974 loss_prob: 0.9694 loss_thr: 0.5349 loss_db: 0.1516 loss: 1.6560 08/28 16:49:05 - mmengine - INFO - Epoch(train) [176][55/63] lr: 6.0734e-03 eta: 16:42:17 time: 0.8620 data_time: 0.1220 memory: 14974 loss_prob: 0.8913 loss_thr: 0.5362 loss_db: 0.1436 loss: 1.5711 08/28 16:49:09 - mmengine - INFO - Epoch(train) [176][60/63] lr: 6.0734e-03 eta: 16:41:59 time: 0.7909 data_time: 0.0622 memory: 14974 loss_prob: 0.8330 loss_thr: 0.5217 loss_db: 0.1395 loss: 1.4942 08/28 16:49:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:49:17 - mmengine - INFO - Epoch(train) [177][5/63] lr: 6.0681e-03 eta: 16:41:59 time: 1.0032 data_time: 0.2334 memory: 14974 loss_prob: 0.8897 loss_thr: 0.5093 loss_db: 0.1420 loss: 1.5410 08/28 16:49:22 - mmengine - INFO - Epoch(train) [177][10/63] lr: 6.0681e-03 eta: 16:41:41 time: 1.1043 data_time: 0.1897 memory: 14974 loss_prob: 0.8969 loss_thr: 0.5359 loss_db: 0.1480 loss: 1.5807 08/28 16:49:28 - mmengine - INFO - Epoch(train) [177][15/63] lr: 6.0681e-03 eta: 16:41:41 time: 1.0204 data_time: 0.1400 memory: 14974 loss_prob: 0.9676 loss_thr: 0.5388 loss_db: 0.1581 loss: 1.6645 08/28 16:49:32 - mmengine - INFO - Epoch(train) [177][20/63] lr: 6.0681e-03 eta: 16:41:31 time: 0.9205 data_time: 0.1429 memory: 14974 loss_prob: 0.9706 loss_thr: 0.5330 loss_db: 0.1509 loss: 1.6544 08/28 16:49:37 - mmengine - INFO - Epoch(train) [177][25/63] lr: 6.0681e-03 eta: 16:41:31 time: 0.9575 data_time: 0.0744 memory: 14974 loss_prob: 0.9699 loss_thr: 0.5511 loss_db: 0.1562 loss: 1.6772 08/28 16:49:42 - mmengine - INFO - Epoch(train) [177][30/63] lr: 6.0681e-03 eta: 16:41:26 time: 1.0083 data_time: 0.0997 memory: 14974 loss_prob: 0.8998 loss_thr: 0.5400 loss_db: 0.1517 loss: 1.5914 08/28 16:49:47 - mmengine - INFO - Epoch(train) [177][35/63] lr: 6.0681e-03 eta: 16:41:26 time: 1.0323 data_time: 0.0984 memory: 14974 loss_prob: 0.8188 loss_thr: 0.5146 loss_db: 0.1347 loss: 1.4681 08/28 16:49:52 - mmengine - INFO - Epoch(train) [177][40/63] lr: 6.0681e-03 eta: 16:41:20 time: 0.9878 data_time: 0.0863 memory: 14974 loss_prob: 0.9050 loss_thr: 0.5150 loss_db: 0.1450 loss: 1.5649 08/28 16:49:56 - mmengine - INFO - Epoch(train) [177][45/63] lr: 6.0681e-03 eta: 16:41:20 time: 0.8111 data_time: 0.0907 memory: 14974 loss_prob: 0.9584 loss_thr: 0.5513 loss_db: 0.1604 loss: 1.6701 08/28 16:49:59 - mmengine - INFO - Epoch(train) [177][50/63] lr: 6.0681e-03 eta: 16:41:02 time: 0.7903 data_time: 0.0636 memory: 14974 loss_prob: 0.8955 loss_thr: 0.5405 loss_db: 0.1534 loss: 1.5894 08/28 16:50:05 - mmengine - INFO - Epoch(train) [177][55/63] lr: 6.0681e-03 eta: 16:41:02 time: 0.8917 data_time: 0.1000 memory: 14974 loss_prob: 0.8910 loss_thr: 0.5133 loss_db: 0.1491 loss: 1.5534 08/28 16:50:08 - mmengine - INFO - Epoch(train) [177][60/63] lr: 6.0681e-03 eta: 16:40:50 time: 0.8884 data_time: 0.1016 memory: 14974 loss_prob: 0.9590 loss_thr: 0.5482 loss_db: 0.1606 loss: 1.6679 08/28 16:50:10 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:50:15 - mmengine - INFO - Epoch(train) [178][5/63] lr: 6.0627e-03 eta: 16:40:50 time: 0.8483 data_time: 0.1602 memory: 14974 loss_prob: 0.9773 loss_thr: 0.5461 loss_db: 0.1676 loss: 1.6911 08/28 16:50:20 - mmengine - INFO - Epoch(train) [178][10/63] lr: 6.0627e-03 eta: 16:40:23 time: 0.9545 data_time: 0.2430 memory: 14974 loss_prob: 0.9986 loss_thr: 0.5502 loss_db: 0.1662 loss: 1.7149 08/28 16:50:24 - mmengine - INFO - Epoch(train) [178][15/63] lr: 6.0627e-03 eta: 16:40:23 time: 0.8868 data_time: 0.1294 memory: 14974 loss_prob: 0.9538 loss_thr: 0.5390 loss_db: 0.1552 loss: 1.6480 08/28 16:50:28 - mmengine - INFO - Epoch(train) [178][20/63] lr: 6.0627e-03 eta: 16:40:09 time: 0.8400 data_time: 0.0677 memory: 14974 loss_prob: 0.9065 loss_thr: 0.5132 loss_db: 0.1491 loss: 1.5688 08/28 16:50:33 - mmengine - INFO - Epoch(train) [178][25/63] lr: 6.0627e-03 eta: 16:40:09 time: 0.8947 data_time: 0.1280 memory: 14974 loss_prob: 0.9298 loss_thr: 0.5231 loss_db: 0.1501 loss: 1.6029 08/28 16:50:38 - mmengine - INFO - Epoch(train) [178][30/63] lr: 6.0627e-03 eta: 16:40:02 time: 0.9655 data_time: 0.1261 memory: 14974 loss_prob: 0.8814 loss_thr: 0.5211 loss_db: 0.1441 loss: 1.5466 08/28 16:50:42 - mmengine - INFO - Epoch(train) [178][35/63] lr: 6.0627e-03 eta: 16:40:02 time: 0.8715 data_time: 0.0671 memory: 14974 loss_prob: 0.8146 loss_thr: 0.4973 loss_db: 0.1319 loss: 1.4438 08/28 16:50:47 - mmengine - INFO - Epoch(train) [178][40/63] lr: 6.0627e-03 eta: 16:39:52 time: 0.9303 data_time: 0.1188 memory: 14974 loss_prob: 0.8450 loss_thr: 0.5008 loss_db: 0.1379 loss: 1.4838 08/28 16:50:52 - mmengine - INFO - Epoch(train) [178][45/63] lr: 6.0627e-03 eta: 16:39:52 time: 0.9897 data_time: 0.1192 memory: 14974 loss_prob: 0.8491 loss_thr: 0.5085 loss_db: 0.1402 loss: 1.4979 08/28 16:50:56 - mmengine - INFO - Epoch(train) [178][50/63] lr: 6.0627e-03 eta: 16:39:40 time: 0.8842 data_time: 0.0614 memory: 14974 loss_prob: 0.8126 loss_thr: 0.5116 loss_db: 0.1360 loss: 1.4602 08/28 16:51:01 - mmengine - INFO - Epoch(train) [178][55/63] lr: 6.0627e-03 eta: 16:39:40 time: 0.8703 data_time: 0.1035 memory: 14974 loss_prob: 0.8637 loss_thr: 0.5463 loss_db: 0.1434 loss: 1.5535 08/28 16:51:06 - mmengine - INFO - Epoch(train) [178][60/63] lr: 6.0627e-03 eta: 16:39:36 time: 1.0215 data_time: 0.1585 memory: 14974 loss_prob: 0.9324 loss_thr: 0.5685 loss_db: 0.1487 loss: 1.6495 08/28 16:51:09 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:51:14 - mmengine - INFO - Epoch(train) [179][5/63] lr: 6.0574e-03 eta: 16:39:36 time: 0.9399 data_time: 0.2306 memory: 14974 loss_prob: 0.9868 loss_thr: 0.5730 loss_db: 0.1659 loss: 1.7256 08/28 16:51:18 - mmengine - INFO - Epoch(train) [179][10/63] lr: 6.0574e-03 eta: 16:39:07 time: 0.9223 data_time: 0.1786 memory: 14974 loss_prob: 0.9441 loss_thr: 0.5622 loss_db: 0.1537 loss: 1.6600 08/28 16:51:22 - mmengine - INFO - Epoch(train) [179][15/63] lr: 6.0574e-03 eta: 16:39:07 time: 0.8204 data_time: 0.0754 memory: 14974 loss_prob: 0.8673 loss_thr: 0.5371 loss_db: 0.1444 loss: 1.5488 08/28 16:51:27 - mmengine - INFO - Epoch(train) [179][20/63] lr: 6.0574e-03 eta: 16:38:55 time: 0.8765 data_time: 0.0719 memory: 14974 loss_prob: 0.7896 loss_thr: 0.5039 loss_db: 0.1370 loss: 1.4305 08/28 16:51:31 - mmengine - INFO - Epoch(train) [179][25/63] lr: 6.0574e-03 eta: 16:38:55 time: 0.8426 data_time: 0.0552 memory: 14974 loss_prob: 0.8438 loss_thr: 0.5192 loss_db: 0.1420 loss: 1.5050 08/28 16:51:35 - mmengine - INFO - Epoch(train) [179][30/63] lr: 6.0574e-03 eta: 16:38:40 time: 0.8383 data_time: 0.1280 memory: 14974 loss_prob: 0.8776 loss_thr: 0.5299 loss_db: 0.1460 loss: 1.5534 08/28 16:51:39 - mmengine - INFO - Epoch(train) [179][35/63] lr: 6.0574e-03 eta: 16:38:40 time: 0.8623 data_time: 0.1452 memory: 14974 loss_prob: 0.8555 loss_thr: 0.5165 loss_db: 0.1427 loss: 1.5147 08/28 16:51:44 - mmengine - INFO - Epoch(train) [179][40/63] lr: 6.0574e-03 eta: 16:38:27 time: 0.8670 data_time: 0.0779 memory: 14974 loss_prob: 0.8823 loss_thr: 0.5310 loss_db: 0.1465 loss: 1.5598 08/28 16:51:50 - mmengine - INFO - Epoch(train) [179][45/63] lr: 6.0574e-03 eta: 16:38:27 time: 1.0562 data_time: 0.1250 memory: 14974 loss_prob: 0.8807 loss_thr: 0.5205 loss_db: 0.1477 loss: 1.5489 08/28 16:51:54 - mmengine - INFO - Epoch(train) [179][50/63] lr: 6.0574e-03 eta: 16:38:22 time: 0.9981 data_time: 0.1324 memory: 14974 loss_prob: 0.8863 loss_thr: 0.5117 loss_db: 0.1469 loss: 1.5449 08/28 16:51:58 - mmengine - INFO - Epoch(train) [179][55/63] lr: 6.0574e-03 eta: 16:38:22 time: 0.7936 data_time: 0.0728 memory: 14974 loss_prob: 0.9012 loss_thr: 0.5255 loss_db: 0.1475 loss: 1.5742 08/28 16:52:03 - mmengine - INFO - Epoch(train) [179][60/63] lr: 6.0574e-03 eta: 16:38:09 time: 0.8664 data_time: 0.1221 memory: 14974 loss_prob: 0.8709 loss_thr: 0.5205 loss_db: 0.1416 loss: 1.5331 08/28 16:52:06 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:52:12 - mmengine - INFO - Epoch(train) [180][5/63] lr: 6.0520e-03 eta: 16:38:09 time: 1.0685 data_time: 0.1987 memory: 14974 loss_prob: 0.9122 loss_thr: 0.5335 loss_db: 0.1486 loss: 1.5943 08/28 16:52:17 - mmengine - INFO - Epoch(train) [180][10/63] lr: 6.0520e-03 eta: 16:37:47 time: 1.0417 data_time: 0.2323 memory: 14974 loss_prob: 0.8393 loss_thr: 0.5246 loss_db: 0.1396 loss: 1.5034 08/28 16:52:21 - mmengine - INFO - Epoch(train) [180][15/63] lr: 6.0520e-03 eta: 16:37:47 time: 0.9535 data_time: 0.0858 memory: 14974 loss_prob: 0.8994 loss_thr: 0.5209 loss_db: 0.1475 loss: 1.5678 08/28 16:52:25 - mmengine - INFO - Epoch(train) [180][20/63] lr: 6.0520e-03 eta: 16:37:34 time: 0.8595 data_time: 0.0596 memory: 14974 loss_prob: 0.8709 loss_thr: 0.5122 loss_db: 0.1438 loss: 1.5269 08/28 16:52:30 - mmengine - INFO - Epoch(train) [180][25/63] lr: 6.0520e-03 eta: 16:37:34 time: 0.8480 data_time: 0.1100 memory: 14974 loss_prob: 0.7980 loss_thr: 0.5031 loss_db: 0.1305 loss: 1.4316 08/28 16:52:34 - mmengine - INFO - Epoch(train) [180][30/63] lr: 6.0520e-03 eta: 16:37:20 time: 0.8546 data_time: 0.1050 memory: 14974 loss_prob: 0.7757 loss_thr: 0.4876 loss_db: 0.1272 loss: 1.3905 08/28 16:52:38 - mmengine - INFO - Epoch(train) [180][35/63] lr: 6.0520e-03 eta: 16:37:20 time: 0.8073 data_time: 0.0506 memory: 14974 loss_prob: 0.8574 loss_thr: 0.5074 loss_db: 0.1407 loss: 1.5056 08/28 16:52:42 - mmengine - INFO - Epoch(train) [180][40/63] lr: 6.0520e-03 eta: 16:37:04 time: 0.8051 data_time: 0.0717 memory: 14974 loss_prob: 0.9264 loss_thr: 0.5372 loss_db: 0.1510 loss: 1.6147 08/28 16:52:46 - mmengine - INFO - Epoch(train) [180][45/63] lr: 6.0520e-03 eta: 16:37:04 time: 0.8141 data_time: 0.0969 memory: 14974 loss_prob: 0.8947 loss_thr: 0.5458 loss_db: 0.1494 loss: 1.5899 08/28 16:52:50 - mmengine - INFO - Epoch(train) [180][50/63] lr: 6.0520e-03 eta: 16:36:47 time: 0.7941 data_time: 0.0762 memory: 14974 loss_prob: 0.8680 loss_thr: 0.5315 loss_db: 0.1429 loss: 1.5424 08/28 16:52:55 - mmengine - INFO - Epoch(train) [180][55/63] lr: 6.0520e-03 eta: 16:36:47 time: 0.9195 data_time: 0.1264 memory: 14974 loss_prob: 0.8468 loss_thr: 0.5216 loss_db: 0.1401 loss: 1.5084 08/28 16:53:00 - mmengine - INFO - Epoch(train) [180][60/63] lr: 6.0520e-03 eta: 16:36:41 time: 0.9910 data_time: 0.1328 memory: 14974 loss_prob: 0.8488 loss_thr: 0.5223 loss_db: 0.1399 loss: 1.5109 08/28 16:53:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:53:02 - mmengine - INFO - Saving checkpoint at 180 epochs 08/28 16:53:09 - mmengine - INFO - Epoch(val) [180][5/500] eta: 16:36:41 time: 0.0646 data_time: 0.0104 memory: 14974 08/28 16:53:10 - mmengine - INFO - Epoch(val) [180][10/500] eta: 0:00:31 time: 0.0636 data_time: 0.0102 memory: 1021 08/28 16:53:10 - mmengine - INFO - Epoch(val) [180][15/500] eta: 0:00:31 time: 0.0441 data_time: 0.0020 memory: 1021 08/28 16:53:10 - mmengine - INFO - Epoch(val) [180][20/500] eta: 0:00:21 time: 0.0442 data_time: 0.0020 memory: 1021 08/28 16:53:10 - mmengine - INFO - Epoch(val) [180][25/500] eta: 0:00:21 time: 0.0437 data_time: 0.0020 memory: 1021 08/28 16:53:11 - mmengine - INFO - Epoch(val) [180][30/500] eta: 0:00:21 time: 0.0462 data_time: 0.0021 memory: 1021 08/28 16:53:11 - mmengine - INFO - Epoch(val) [180][35/500] eta: 0:00:21 time: 0.0465 data_time: 0.0021 memory: 1021 08/28 16:53:11 - mmengine - INFO - Epoch(val) [180][40/500] eta: 0:00:21 time: 0.0475 data_time: 0.0021 memory: 1021 08/28 16:53:11 - mmengine - INFO - Epoch(val) [180][45/500] eta: 0:00:21 time: 0.0499 data_time: 0.0022 memory: 1021 08/28 16:53:12 - mmengine - INFO - Epoch(val) [180][50/500] eta: 0:00:21 time: 0.0468 data_time: 0.0022 memory: 1021 08/28 16:53:12 - mmengine - INFO - Epoch(val) [180][55/500] eta: 0:00:21 time: 0.0470 data_time: 0.0021 memory: 1021 08/28 16:53:12 - mmengine - INFO - Epoch(val) [180][60/500] eta: 0:00:20 time: 0.0459 data_time: 0.0021 memory: 1021 08/28 16:53:12 - mmengine - INFO - Epoch(val) [180][65/500] eta: 0:00:20 time: 0.0463 data_time: 0.0023 memory: 1021 08/28 16:53:12 - mmengine - INFO - Epoch(val) [180][70/500] eta: 0:00:20 time: 0.0481 data_time: 0.0024 memory: 1021 08/28 16:53:13 - mmengine - INFO - Epoch(val) [180][75/500] eta: 0:00:20 time: 0.0498 data_time: 0.0068 memory: 1021 08/28 16:53:13 - mmengine - INFO - Epoch(val) [180][80/500] eta: 0:00:19 time: 0.0475 data_time: 0.0068 memory: 1021 08/28 16:53:13 - mmengine - INFO - Epoch(val) [180][85/500] eta: 0:00:19 time: 0.0506 data_time: 0.0033 memory: 1021 08/28 16:53:14 - mmengine - INFO - Epoch(val) [180][90/500] eta: 0:00:24 time: 0.0599 data_time: 0.0036 memory: 1021 08/28 16:53:14 - mmengine - INFO - Epoch(val) [180][95/500] eta: 0:00:24 time: 0.0539 data_time: 0.0027 memory: 1021 08/28 16:53:14 - mmengine - INFO - Epoch(val) [180][100/500] eta: 0:00:18 time: 0.0454 data_time: 0.0025 memory: 1021 08/28 16:53:14 - mmengine - INFO - Epoch(val) [180][105/500] eta: 0:00:18 time: 0.0445 data_time: 0.0024 memory: 1021 08/28 16:53:14 - mmengine - INFO - Epoch(val) [180][110/500] eta: 0:00:17 time: 0.0445 data_time: 0.0024 memory: 1021 08/28 16:53:15 - mmengine - INFO - Epoch(val) [180][115/500] eta: 0:00:17 time: 0.0454 data_time: 0.0024 memory: 1021 08/28 16:53:15 - mmengine - INFO - Epoch(val) [180][120/500] eta: 0:00:17 time: 0.0467 data_time: 0.0024 memory: 1021 08/28 16:53:15 - mmengine - INFO - Epoch(val) [180][125/500] eta: 0:00:17 time: 0.0455 data_time: 0.0024 memory: 1021 08/28 16:53:15 - mmengine - INFO - Epoch(val) [180][130/500] eta: 0:00:17 time: 0.0476 data_time: 0.0027 memory: 1021 08/28 16:53:16 - mmengine - INFO - Epoch(val) [180][135/500] eta: 0:00:17 time: 0.0514 data_time: 0.0030 memory: 1021 08/28 16:53:16 - mmengine - INFO - Epoch(val) [180][140/500] eta: 0:00:17 time: 0.0497 data_time: 0.0029 memory: 1021 08/28 16:53:16 - mmengine - INFO - Epoch(val) [180][145/500] eta: 0:00:17 time: 0.0487 data_time: 0.0026 memory: 1021 08/28 16:53:16 - mmengine - INFO - Epoch(val) [180][150/500] eta: 0:00:16 time: 0.0481 data_time: 0.0025 memory: 1021 08/28 16:53:17 - mmengine - INFO - Epoch(val) [180][155/500] eta: 0:00:16 time: 0.0549 data_time: 0.0026 memory: 1021 08/28 16:53:17 - mmengine - INFO - Epoch(val) [180][160/500] eta: 0:00:19 time: 0.0586 data_time: 0.0028 memory: 1021 08/28 16:53:17 - mmengine - INFO - Epoch(val) [180][165/500] eta: 0:00:19 time: 0.0542 data_time: 0.0027 memory: 1021 08/28 16:53:18 - mmengine - INFO - Epoch(val) [180][170/500] eta: 0:00:18 time: 0.0568 data_time: 0.0028 memory: 1021 08/28 16:53:18 - mmengine - INFO - Epoch(val) [180][175/500] eta: 0:00:18 time: 0.0531 data_time: 0.0026 memory: 1021 08/28 16:53:18 - mmengine - INFO - Epoch(val) [180][180/500] eta: 0:00:16 time: 0.0505 data_time: 0.0026 memory: 1021 08/28 16:53:18 - mmengine - INFO - Epoch(val) [180][185/500] eta: 0:00:16 time: 0.0547 data_time: 0.0026 memory: 1021 08/28 16:53:19 - mmengine - INFO - Epoch(val) [180][190/500] eta: 0:00:16 time: 0.0534 data_time: 0.0023 memory: 1021 08/28 16:53:19 - mmengine - INFO - Epoch(val) [180][195/500] eta: 0:00:16 time: 0.0504 data_time: 0.0023 memory: 1021 08/28 16:53:19 - mmengine - INFO - Epoch(val) [180][200/500] eta: 0:00:16 time: 0.0544 data_time: 0.0022 memory: 1021 08/28 16:53:19 - mmengine - INFO - Epoch(val) [180][205/500] eta: 0:00:16 time: 0.0558 data_time: 0.0022 memory: 1021 08/28 16:53:20 - mmengine - INFO - Epoch(val) [180][210/500] eta: 0:00:15 time: 0.0520 data_time: 0.0022 memory: 1021 08/28 16:53:20 - mmengine - INFO - Epoch(val) [180][215/500] eta: 0:00:15 time: 0.0510 data_time: 0.0022 memory: 1021 08/28 16:53:20 - mmengine - INFO - Epoch(val) [180][220/500] eta: 0:00:14 time: 0.0527 data_time: 0.0023 memory: 1021 08/28 16:53:20 - mmengine - INFO - Epoch(val) [180][225/500] eta: 0:00:14 time: 0.0512 data_time: 0.0023 memory: 1021 08/28 16:53:21 - mmengine - INFO - Epoch(val) [180][230/500] eta: 0:00:13 time: 0.0487 data_time: 0.0023 memory: 1021 08/28 16:53:21 - mmengine - INFO - Epoch(val) [180][235/500] eta: 0:00:13 time: 0.0517 data_time: 0.0025 memory: 1021 08/28 16:53:21 - mmengine - INFO - Epoch(val) [180][240/500] eta: 0:00:13 time: 0.0515 data_time: 0.0027 memory: 1021 08/28 16:53:21 - mmengine - INFO - Epoch(val) [180][245/500] eta: 0:00:13 time: 0.0469 data_time: 0.0026 memory: 1021 08/28 16:53:22 - mmengine - INFO - Epoch(val) [180][250/500] eta: 0:00:11 time: 0.0455 data_time: 0.0023 memory: 1021 08/28 16:53:22 - mmengine - INFO - Epoch(val) [180][255/500] eta: 0:00:11 time: 0.0445 data_time: 0.0021 memory: 1021 08/28 16:53:22 - mmengine - INFO - Epoch(val) [180][260/500] eta: 0:00:10 time: 0.0440 data_time: 0.0022 memory: 1021 08/28 16:53:22 - mmengine - INFO - Epoch(val) [180][265/500] eta: 0:00:10 time: 0.0446 data_time: 0.0024 memory: 1021 08/28 16:53:23 - mmengine - INFO - Epoch(val) [180][270/500] eta: 0:00:10 time: 0.0455 data_time: 0.0025 memory: 1021 08/28 16:53:23 - mmengine - INFO - Epoch(val) [180][275/500] eta: 0:00:10 time: 0.0452 data_time: 0.0026 memory: 1021 08/28 16:53:23 - mmengine - INFO - Epoch(val) [180][280/500] eta: 0:00:10 time: 0.0496 data_time: 0.0057 memory: 1021 08/28 16:53:24 - mmengine - INFO - Epoch(val) [180][285/500] eta: 0:00:10 time: 0.0949 data_time: 0.0075 memory: 1021 08/28 16:53:24 - mmengine - INFO - Epoch(val) [180][290/500] eta: 0:00:19 time: 0.0926 data_time: 0.0050 memory: 1021 08/28 16:53:24 - mmengine - INFO - Epoch(val) [180][295/500] eta: 0:00:19 time: 0.0487 data_time: 0.0029 memory: 1021 08/28 16:53:24 - mmengine - INFO - Epoch(val) [180][300/500] eta: 0:00:09 time: 0.0460 data_time: 0.0024 memory: 1021 08/28 16:53:25 - mmengine - INFO - Epoch(val) [180][305/500] eta: 0:00:09 time: 0.0443 data_time: 0.0022 memory: 1021 08/28 16:53:25 - mmengine - INFO - Epoch(val) [180][310/500] eta: 0:00:08 time: 0.0454 data_time: 0.0023 memory: 1021 08/28 16:53:25 - mmengine - INFO - Epoch(val) [180][315/500] eta: 0:00:08 time: 0.0487 data_time: 0.0025 memory: 1021 08/28 16:53:25 - mmengine - INFO - Epoch(val) [180][320/500] eta: 0:00:08 time: 0.0468 data_time: 0.0024 memory: 1021 08/28 16:53:26 - mmengine - INFO - Epoch(val) [180][325/500] eta: 0:00:08 time: 0.0556 data_time: 0.0024 memory: 1021 08/28 16:53:26 - mmengine - INFO - Epoch(val) [180][330/500] eta: 0:00:09 time: 0.0556 data_time: 0.0025 memory: 1021 08/28 16:53:26 - mmengine - INFO - Epoch(val) [180][335/500] eta: 0:00:09 time: 0.0436 data_time: 0.0024 memory: 1021 08/28 16:53:26 - mmengine - INFO - Epoch(val) [180][340/500] eta: 0:00:08 time: 0.0530 data_time: 0.0025 memory: 1021 08/28 16:53:27 - mmengine - INFO - Epoch(val) [180][345/500] eta: 0:00:08 time: 0.0554 data_time: 0.0027 memory: 1021 08/28 16:53:27 - mmengine - INFO - Epoch(val) [180][350/500] eta: 0:00:07 time: 0.0510 data_time: 0.0027 memory: 1021 08/28 16:53:27 - mmengine - INFO - Epoch(val) [180][355/500] eta: 0:00:07 time: 0.0485 data_time: 0.0023 memory: 1021 08/28 16:53:27 - mmengine - INFO - Epoch(val) [180][360/500] eta: 0:00:06 time: 0.0457 data_time: 0.0021 memory: 1021 08/28 16:53:28 - mmengine - INFO - Epoch(val) [180][365/500] eta: 0:00:06 time: 0.0516 data_time: 0.0023 memory: 1021 08/28 16:53:28 - mmengine - INFO - Epoch(val) [180][370/500] eta: 0:00:06 time: 0.0498 data_time: 0.0022 memory: 1021 08/28 16:53:28 - mmengine - INFO - Epoch(val) [180][375/500] eta: 0:00:06 time: 0.0481 data_time: 0.0023 memory: 1021 08/28 16:53:28 - mmengine - INFO - Epoch(val) [180][380/500] eta: 0:00:06 time: 0.0546 data_time: 0.0026 memory: 1021 08/28 16:53:29 - mmengine - INFO - Epoch(val) [180][385/500] eta: 0:00:06 time: 0.0526 data_time: 0.0024 memory: 1021 08/28 16:53:29 - mmengine - INFO - Epoch(val) [180][390/500] eta: 0:00:05 time: 0.0513 data_time: 0.0022 memory: 1021 08/28 16:53:29 - mmengine - INFO - Epoch(val) [180][395/500] eta: 0:00:05 time: 0.0502 data_time: 0.0022 memory: 1021 08/28 16:53:30 - mmengine - INFO - Epoch(val) [180][400/500] eta: 0:00:05 time: 0.0584 data_time: 0.0055 memory: 1021 08/28 16:53:30 - mmengine - INFO - Epoch(val) [180][405/500] eta: 0:00:05 time: 0.0589 data_time: 0.0060 memory: 1021 08/28 16:53:30 - mmengine - INFO - Epoch(val) [180][410/500] eta: 0:00:04 time: 0.0474 data_time: 0.0026 memory: 1021 08/28 16:53:30 - mmengine - INFO - Epoch(val) [180][415/500] eta: 0:00:04 time: 0.0459 data_time: 0.0021 memory: 1021 08/28 16:53:30 - mmengine - INFO - Epoch(val) [180][420/500] eta: 0:00:03 time: 0.0425 data_time: 0.0021 memory: 1021 08/28 16:53:31 - mmengine - INFO - Epoch(val) [180][425/500] eta: 0:00:03 time: 0.0433 data_time: 0.0021 memory: 1021 08/28 16:53:31 - mmengine - INFO - Epoch(val) [180][430/500] eta: 0:00:03 time: 0.0447 data_time: 0.0021 memory: 1021 08/28 16:53:31 - mmengine - INFO - Epoch(val) [180][435/500] eta: 0:00:03 time: 0.0442 data_time: 0.0021 memory: 1021 08/28 16:53:31 - mmengine - INFO - Epoch(val) [180][440/500] eta: 0:00:02 time: 0.0449 data_time: 0.0020 memory: 1021 08/28 16:53:32 - mmengine - INFO - Epoch(val) [180][445/500] eta: 0:00:02 time: 0.0464 data_time: 0.0021 memory: 1021 08/28 16:53:32 - mmengine - INFO - Epoch(val) [180][450/500] eta: 0:00:02 time: 0.0468 data_time: 0.0022 memory: 1021 08/28 16:53:32 - mmengine - INFO - Epoch(val) [180][455/500] eta: 0:00:02 time: 0.0466 data_time: 0.0022 memory: 1021 08/28 16:53:32 - mmengine - INFO - Epoch(val) [180][460/500] eta: 0:00:01 time: 0.0440 data_time: 0.0021 memory: 1021 08/28 16:53:32 - mmengine - INFO - Epoch(val) [180][465/500] eta: 0:00:01 time: 0.0420 data_time: 0.0020 memory: 1021 08/28 16:53:33 - mmengine - INFO - Epoch(val) [180][470/500] eta: 0:00:01 time: 0.0430 data_time: 0.0020 memory: 1021 08/28 16:53:33 - mmengine - INFO - Epoch(val) [180][475/500] eta: 0:00:01 time: 0.0427 data_time: 0.0021 memory: 1021 08/28 16:53:33 - mmengine - INFO - Epoch(val) [180][480/500] eta: 0:00:00 time: 0.0439 data_time: 0.0021 memory: 1021 08/28 16:53:33 - mmengine - INFO - Epoch(val) [180][485/500] eta: 0:00:00 time: 0.0445 data_time: 0.0020 memory: 1021 08/28 16:53:34 - mmengine - INFO - Epoch(val) [180][490/500] eta: 0:00:00 time: 0.0458 data_time: 0.0020 memory: 1021 08/28 16:53:34 - mmengine - INFO - Epoch(val) [180][495/500] eta: 0:00:00 time: 0.0476 data_time: 0.0022 memory: 1021 08/28 16:53:34 - mmengine - INFO - Epoch(val) [180][500/500] eta: 0:00:00 time: 0.0447 data_time: 0.0024 memory: 1021 08/28 16:53:34 - mmengine - INFO - Evaluating hmean-iou... 08/28 16:53:34 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8300, precision: 0.7412, hmean: 0.7831 08/28 16:53:34 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8300, precision: 0.7923, hmean: 0.8107 08/28 16:53:34 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8286, precision: 0.8274, hmean: 0.8280 08/28 16:53:34 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8185, precision: 0.8608, hmean: 0.8391 08/28 16:53:34 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7819, precision: 0.9042, hmean: 0.8386 08/28 16:53:34 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.5243, precision: 0.9478, hmean: 0.6751 08/28 16:53:34 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0169, precision: 0.9459, hmean: 0.0331 08/28 16:53:34 - mmengine - INFO - Epoch(val) [180][500/500] icdar/precision: 0.8608 icdar/recall: 0.8185 icdar/hmean: 0.8391 08/28 16:53:40 - mmengine - INFO - Epoch(train) [181][5/63] lr: 6.0467e-03 eta: 0:00:00 time: 1.0098 data_time: 0.2099 memory: 14974 loss_prob: 1.0052 loss_thr: 0.5278 loss_db: 0.1591 loss: 1.6921 08/28 16:53:44 - mmengine - INFO - Epoch(train) [181][10/63] lr: 6.0467e-03 eta: 16:36:13 time: 0.9430 data_time: 0.1932 memory: 14974 loss_prob: 0.9759 loss_thr: 0.5376 loss_db: 0.1540 loss: 1.6675 08/28 16:53:48 - mmengine - INFO - Epoch(train) [181][15/63] lr: 6.0467e-03 eta: 16:36:13 time: 0.8007 data_time: 0.0704 memory: 14974 loss_prob: 0.9401 loss_thr: 0.5437 loss_db: 0.1521 loss: 1.6359 08/28 16:53:52 - mmengine - INFO - Epoch(train) [181][20/63] lr: 6.0467e-03 eta: 16:35:56 time: 0.7897 data_time: 0.0604 memory: 14974 loss_prob: 0.9307 loss_thr: 0.5402 loss_db: 0.1510 loss: 1.6219 08/28 16:53:57 - mmengine - INFO - Epoch(train) [181][25/63] lr: 6.0467e-03 eta: 16:35:56 time: 0.8763 data_time: 0.0494 memory: 14974 loss_prob: 0.8960 loss_thr: 0.5444 loss_db: 0.1482 loss: 1.5887 08/28 16:54:01 - mmengine - INFO - Epoch(train) [181][30/63] lr: 6.0467e-03 eta: 16:35:47 time: 0.9254 data_time: 0.1076 memory: 14974 loss_prob: 0.9226 loss_thr: 0.5404 loss_db: 0.1528 loss: 1.6158 08/28 16:54:06 - mmengine - INFO - Epoch(train) [181][35/63] lr: 6.0467e-03 eta: 16:35:47 time: 0.8561 data_time: 0.1299 memory: 14974 loss_prob: 0.8617 loss_thr: 0.5254 loss_db: 0.1441 loss: 1.5311 08/28 16:54:10 - mmengine - INFO - Epoch(train) [181][40/63] lr: 6.0467e-03 eta: 16:35:31 time: 0.8192 data_time: 0.0780 memory: 14974 loss_prob: 0.8301 loss_thr: 0.5183 loss_db: 0.1387 loss: 1.4871 08/28 16:54:15 - mmengine - INFO - Epoch(train) [181][45/63] lr: 6.0467e-03 eta: 16:35:31 time: 0.8915 data_time: 0.1179 memory: 14974 loss_prob: 0.8239 loss_thr: 0.5108 loss_db: 0.1388 loss: 1.4736 08/28 16:54:19 - mmengine - INFO - Epoch(train) [181][50/63] lr: 6.0467e-03 eta: 16:35:25 time: 0.9787 data_time: 0.1388 memory: 14974 loss_prob: 0.8452 loss_thr: 0.5080 loss_db: 0.1416 loss: 1.4948 08/28 16:54:24 - mmengine - INFO - Epoch(train) [181][55/63] lr: 6.0467e-03 eta: 16:35:25 time: 0.9049 data_time: 0.0832 memory: 14974 loss_prob: 0.8993 loss_thr: 0.5365 loss_db: 0.1488 loss: 1.5846 08/28 16:54:28 - mmengine - INFO - Epoch(train) [181][60/63] lr: 6.0467e-03 eta: 16:35:11 time: 0.8584 data_time: 0.1135 memory: 14974 loss_prob: 0.8812 loss_thr: 0.5500 loss_db: 0.1453 loss: 1.5766 08/28 16:54:30 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:54:36 - mmengine - INFO - Epoch(train) [182][5/63] lr: 6.0414e-03 eta: 16:35:11 time: 0.9732 data_time: 0.1776 memory: 14974 loss_prob: 0.8338 loss_thr: 0.5067 loss_db: 0.1378 loss: 1.4783 08/28 16:54:41 - mmengine - INFO - Epoch(train) [182][10/63] lr: 6.0414e-03 eta: 16:34:53 time: 1.1038 data_time: 0.1894 memory: 14974 loss_prob: 0.8468 loss_thr: 0.5143 loss_db: 0.1395 loss: 1.5007 08/28 16:54:47 - mmengine - INFO - Epoch(train) [182][15/63] lr: 6.0414e-03 eta: 16:34:53 time: 1.0216 data_time: 0.0952 memory: 14974 loss_prob: 0.8290 loss_thr: 0.5520 loss_db: 0.1407 loss: 1.5217 08/28 16:54:51 - mmengine - INFO - Epoch(train) [182][20/63] lr: 6.0414e-03 eta: 16:34:43 time: 0.9203 data_time: 0.0763 memory: 14974 loss_prob: 0.8136 loss_thr: 0.5617 loss_db: 0.1377 loss: 1.5130 08/28 16:54:55 - mmengine - INFO - Epoch(train) [182][25/63] lr: 6.0414e-03 eta: 16:34:43 time: 0.8095 data_time: 0.0682 memory: 14974 loss_prob: 0.8009 loss_thr: 0.5282 loss_db: 0.1343 loss: 1.4633 08/28 16:54:59 - mmengine - INFO - Epoch(train) [182][30/63] lr: 6.0414e-03 eta: 16:34:28 time: 0.8140 data_time: 0.0711 memory: 14974 loss_prob: 0.8749 loss_thr: 0.5179 loss_db: 0.1462 loss: 1.5389 08/28 16:55:03 - mmengine - INFO - Epoch(train) [182][35/63] lr: 6.0414e-03 eta: 16:34:28 time: 0.8384 data_time: 0.1062 memory: 14974 loss_prob: 0.9134 loss_thr: 0.5183 loss_db: 0.1511 loss: 1.5828 08/28 16:55:08 - mmengine - INFO - Epoch(train) [182][40/63] lr: 6.0414e-03 eta: 16:34:16 time: 0.8916 data_time: 0.0885 memory: 14974 loss_prob: 0.8112 loss_thr: 0.5019 loss_db: 0.1335 loss: 1.4465 08/28 16:55:12 - mmengine - INFO - Epoch(train) [182][45/63] lr: 6.0414e-03 eta: 16:34:16 time: 0.8645 data_time: 0.0544 memory: 14974 loss_prob: 0.8203 loss_thr: 0.5059 loss_db: 0.1363 loss: 1.4625 08/28 16:55:16 - mmengine - INFO - Epoch(train) [182][50/63] lr: 6.0414e-03 eta: 16:34:03 time: 0.8537 data_time: 0.1161 memory: 14974 loss_prob: 0.8955 loss_thr: 0.5266 loss_db: 0.1505 loss: 1.5726 08/28 16:55:20 - mmengine - INFO - Epoch(train) [182][55/63] lr: 6.0414e-03 eta: 16:34:03 time: 0.8665 data_time: 0.1252 memory: 14974 loss_prob: 0.8362 loss_thr: 0.5027 loss_db: 0.1388 loss: 1.4777 08/28 16:55:25 - mmengine - INFO - Epoch(train) [182][60/63] lr: 6.0414e-03 eta: 16:33:51 time: 0.8937 data_time: 0.0838 memory: 14974 loss_prob: 0.8227 loss_thr: 0.4822 loss_db: 0.1323 loss: 1.4373 08/28 16:55:28 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:55:34 - mmengine - INFO - Epoch(train) [183][5/63] lr: 6.0360e-03 eta: 16:33:51 time: 1.1276 data_time: 0.2479 memory: 14974 loss_prob: 0.9259 loss_thr: 0.5140 loss_db: 0.1492 loss: 1.5891 08/28 16:55:38 - mmengine - INFO - Epoch(train) [183][10/63] lr: 6.0360e-03 eta: 16:33:28 time: 1.0082 data_time: 0.2284 memory: 14974 loss_prob: 1.0075 loss_thr: 0.5216 loss_db: 0.1621 loss: 1.6912 08/28 16:55:43 - mmengine - INFO - Epoch(train) [183][15/63] lr: 6.0360e-03 eta: 16:33:28 time: 0.8471 data_time: 0.1236 memory: 14974 loss_prob: 0.9066 loss_thr: 0.5090 loss_db: 0.1467 loss: 1.5622 08/28 16:55:48 - mmengine - INFO - Epoch(train) [183][20/63] lr: 6.0360e-03 eta: 16:33:21 time: 0.9713 data_time: 0.1138 memory: 14974 loss_prob: 0.7734 loss_thr: 0.5049 loss_db: 0.1302 loss: 1.4085 08/28 16:55:53 - mmengine - INFO - Epoch(train) [183][25/63] lr: 6.0360e-03 eta: 16:33:21 time: 1.0393 data_time: 0.0766 memory: 14974 loss_prob: 0.8198 loss_thr: 0.5280 loss_db: 0.1381 loss: 1.4859 08/28 16:55:58 - mmengine - INFO - Epoch(train) [183][30/63] lr: 6.0360e-03 eta: 16:33:13 time: 0.9609 data_time: 0.0895 memory: 14974 loss_prob: 0.9526 loss_thr: 0.5479 loss_db: 0.1553 loss: 1.6558 08/28 16:56:02 - mmengine - INFO - Epoch(train) [183][35/63] lr: 6.0360e-03 eta: 16:33:13 time: 0.9254 data_time: 0.0791 memory: 14974 loss_prob: 0.9273 loss_thr: 0.5274 loss_db: 0.1493 loss: 1.6040 08/28 16:56:06 - mmengine - INFO - Epoch(train) [183][40/63] lr: 6.0360e-03 eta: 16:33:00 time: 0.8616 data_time: 0.0564 memory: 14974 loss_prob: 0.8212 loss_thr: 0.5060 loss_db: 0.1363 loss: 1.4635 08/28 16:56:11 - mmengine - INFO - Epoch(train) [183][45/63] lr: 6.0360e-03 eta: 16:33:00 time: 0.8376 data_time: 0.0999 memory: 14974 loss_prob: 0.8525 loss_thr: 0.5188 loss_db: 0.1479 loss: 1.5193 08/28 16:56:15 - mmengine - INFO - Epoch(train) [183][50/63] lr: 6.0360e-03 eta: 16:32:48 time: 0.8818 data_time: 0.0995 memory: 14974 loss_prob: 0.8500 loss_thr: 0.5048 loss_db: 0.1469 loss: 1.5016 08/28 16:56:19 - mmengine - INFO - Epoch(train) [183][55/63] lr: 6.0360e-03 eta: 16:32:48 time: 0.8200 data_time: 0.0494 memory: 14974 loss_prob: 0.9565 loss_thr: 0.5098 loss_db: 0.1510 loss: 1.6172 08/28 16:56:23 - mmengine - INFO - Epoch(train) [183][60/63] lr: 6.0360e-03 eta: 16:32:32 time: 0.7956 data_time: 0.0688 memory: 14974 loss_prob: 1.0376 loss_thr: 0.5499 loss_db: 0.1629 loss: 1.7503 08/28 16:56:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:56:30 - mmengine - INFO - Epoch(train) [184][5/63] lr: 6.0307e-03 eta: 16:32:32 time: 0.8854 data_time: 0.1729 memory: 14974 loss_prob: 0.9403 loss_thr: 0.5349 loss_db: 0.1548 loss: 1.6301 08/28 16:56:35 - mmengine - INFO - Epoch(train) [184][10/63] lr: 6.0307e-03 eta: 16:32:09 time: 1.0109 data_time: 0.2587 memory: 14974 loss_prob: 0.8674 loss_thr: 0.5059 loss_db: 0.1439 loss: 1.5172 08/28 16:56:39 - mmengine - INFO - Epoch(train) [184][15/63] lr: 6.0307e-03 eta: 16:32:09 time: 0.8939 data_time: 0.1485 memory: 14974 loss_prob: 0.9103 loss_thr: 0.5376 loss_db: 0.1505 loss: 1.5983 08/28 16:56:44 - mmengine - INFO - Epoch(train) [184][20/63] lr: 6.0307e-03 eta: 16:31:58 time: 0.9112 data_time: 0.0839 memory: 14974 loss_prob: 0.8804 loss_thr: 0.5299 loss_db: 0.1466 loss: 1.5569 08/28 16:56:50 - mmengine - INFO - Epoch(train) [184][25/63] lr: 6.0307e-03 eta: 16:31:58 time: 1.0688 data_time: 0.1308 memory: 14974 loss_prob: 0.8462 loss_thr: 0.5214 loss_db: 0.1444 loss: 1.5120 08/28 16:56:54 - mmengine - INFO - Epoch(train) [184][30/63] lr: 6.0307e-03 eta: 16:31:53 time: 1.0030 data_time: 0.1262 memory: 14974 loss_prob: 0.8990 loss_thr: 0.5303 loss_db: 0.1517 loss: 1.5811 08/28 16:56:59 - mmengine - INFO - Epoch(train) [184][35/63] lr: 6.0307e-03 eta: 16:31:53 time: 0.8777 data_time: 0.1188 memory: 14974 loss_prob: 0.9747 loss_thr: 0.5551 loss_db: 0.1640 loss: 1.6938 08/28 16:57:04 - mmengine - INFO - Epoch(train) [184][40/63] lr: 6.0307e-03 eta: 16:31:48 time: 1.0100 data_time: 0.1290 memory: 14974 loss_prob: 0.9405 loss_thr: 0.5356 loss_db: 0.1580 loss: 1.6342 08/28 16:57:09 - mmengine - INFO - Epoch(train) [184][45/63] lr: 6.0307e-03 eta: 16:31:48 time: 0.9907 data_time: 0.0801 memory: 14974 loss_prob: 0.8527 loss_thr: 0.5000 loss_db: 0.1416 loss: 1.4943 08/28 16:57:13 - mmengine - INFO - Epoch(train) [184][50/63] lr: 6.0307e-03 eta: 16:31:36 time: 0.8713 data_time: 0.1125 memory: 14974 loss_prob: 0.8853 loss_thr: 0.5196 loss_db: 0.1481 loss: 1.5530 08/28 16:57:18 - mmengine - INFO - Epoch(train) [184][55/63] lr: 6.0307e-03 eta: 16:31:36 time: 0.9690 data_time: 0.0907 memory: 14974 loss_prob: 0.8976 loss_thr: 0.5221 loss_db: 0.1513 loss: 1.5710 08/28 16:57:23 - mmengine - INFO - Epoch(train) [184][60/63] lr: 6.0307e-03 eta: 16:31:28 time: 0.9620 data_time: 0.0683 memory: 14974 loss_prob: 0.8523 loss_thr: 0.4971 loss_db: 0.1414 loss: 1.4908 08/28 16:57:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:57:31 - mmengine - INFO - Epoch(train) [185][5/63] lr: 6.0253e-03 eta: 16:31:28 time: 0.9477 data_time: 0.2263 memory: 14974 loss_prob: 0.9511 loss_thr: 0.5373 loss_db: 0.1582 loss: 1.6466 08/28 16:57:35 - mmengine - INFO - Epoch(train) [185][10/63] lr: 6.0253e-03 eta: 16:31:02 time: 0.9467 data_time: 0.1910 memory: 14974 loss_prob: 0.9204 loss_thr: 0.5208 loss_db: 0.1579 loss: 1.5990 08/28 16:57:39 - mmengine - INFO - Epoch(train) [185][15/63] lr: 6.0253e-03 eta: 16:31:02 time: 0.8423 data_time: 0.0652 memory: 14974 loss_prob: 0.8319 loss_thr: 0.4918 loss_db: 0.1396 loss: 1.4633 08/28 16:57:43 - mmengine - INFO - Epoch(train) [185][20/63] lr: 6.0253e-03 eta: 16:30:49 time: 0.8633 data_time: 0.0616 memory: 14974 loss_prob: 0.7882 loss_thr: 0.4789 loss_db: 0.1291 loss: 1.3961 08/28 16:57:47 - mmengine - INFO - Epoch(train) [185][25/63] lr: 6.0253e-03 eta: 16:30:49 time: 0.8230 data_time: 0.0680 memory: 14974 loss_prob: 0.8614 loss_thr: 0.5073 loss_db: 0.1431 loss: 1.5118 08/28 16:57:52 - mmengine - INFO - Epoch(train) [185][30/63] lr: 6.0253e-03 eta: 16:30:36 time: 0.8640 data_time: 0.1368 memory: 14974 loss_prob: 0.9008 loss_thr: 0.5367 loss_db: 0.1506 loss: 1.5881 08/28 16:57:56 - mmengine - INFO - Epoch(train) [185][35/63] lr: 6.0253e-03 eta: 16:30:36 time: 0.8630 data_time: 0.1326 memory: 14974 loss_prob: 0.9114 loss_thr: 0.5372 loss_db: 0.1492 loss: 1.5978 08/28 16:58:01 - mmengine - INFO - Epoch(train) [185][40/63] lr: 6.0253e-03 eta: 16:30:23 time: 0.8541 data_time: 0.0733 memory: 14974 loss_prob: 0.9053 loss_thr: 0.5078 loss_db: 0.1460 loss: 1.5591 08/28 16:58:06 - mmengine - INFO - Epoch(train) [185][45/63] lr: 6.0253e-03 eta: 16:30:23 time: 0.9965 data_time: 0.1240 memory: 14974 loss_prob: 0.8110 loss_thr: 0.4728 loss_db: 0.1323 loss: 1.4161 08/28 16:58:10 - mmengine - INFO - Epoch(train) [185][50/63] lr: 6.0253e-03 eta: 16:30:16 time: 0.9714 data_time: 0.1344 memory: 14974 loss_prob: 0.8518 loss_thr: 0.5186 loss_db: 0.1383 loss: 1.5087 08/28 16:58:14 - mmengine - INFO - Epoch(train) [185][55/63] lr: 6.0253e-03 eta: 16:30:16 time: 0.7903 data_time: 0.0635 memory: 14974 loss_prob: 0.9015 loss_thr: 0.5484 loss_db: 0.1524 loss: 1.6023 08/28 16:58:19 - mmengine - INFO - Epoch(train) [185][60/63] lr: 6.0253e-03 eta: 16:30:06 time: 0.9163 data_time: 0.1115 memory: 14974 loss_prob: 0.9298 loss_thr: 0.5516 loss_db: 0.1573 loss: 1.6387 08/28 16:58:22 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:58:28 - mmengine - INFO - Epoch(train) [186][5/63] lr: 6.0200e-03 eta: 16:30:06 time: 1.0602 data_time: 0.2393 memory: 14974 loss_prob: 0.9498 loss_thr: 0.5515 loss_db: 0.1597 loss: 1.6611 08/28 16:58:33 - mmengine - INFO - Epoch(train) [186][10/63] lr: 6.0200e-03 eta: 16:29:47 time: 1.0866 data_time: 0.2769 memory: 14974 loss_prob: 0.8960 loss_thr: 0.5296 loss_db: 0.1513 loss: 1.5768 08/28 16:58:36 - mmengine - INFO - Epoch(train) [186][15/63] lr: 6.0200e-03 eta: 16:29:47 time: 0.8762 data_time: 0.0832 memory: 14974 loss_prob: 0.8085 loss_thr: 0.5022 loss_db: 0.1343 loss: 1.4450 08/28 16:58:40 - mmengine - INFO - Epoch(train) [186][20/63] lr: 6.0200e-03 eta: 16:29:30 time: 0.7827 data_time: 0.0536 memory: 14974 loss_prob: 0.8279 loss_thr: 0.5155 loss_db: 0.1363 loss: 1.4797 08/28 16:58:46 - mmengine - INFO - Epoch(train) [186][25/63] lr: 6.0200e-03 eta: 16:29:30 time: 0.9171 data_time: 0.1122 memory: 14974 loss_prob: 0.9242 loss_thr: 0.5566 loss_db: 0.1549 loss: 1.6357 08/28 16:58:49 - mmengine - INFO - Epoch(train) [186][30/63] lr: 6.0200e-03 eta: 16:29:19 time: 0.9053 data_time: 0.1072 memory: 14974 loss_prob: 0.9627 loss_thr: 0.5510 loss_db: 0.1574 loss: 1.6710 08/28 16:58:53 - mmengine - INFO - Epoch(train) [186][35/63] lr: 6.0200e-03 eta: 16:29:19 time: 0.7663 data_time: 0.0467 memory: 14974 loss_prob: 1.0613 loss_thr: 0.5382 loss_db: 0.1696 loss: 1.7691 08/28 16:58:58 - mmengine - INFO - Epoch(train) [186][40/63] lr: 6.0200e-03 eta: 16:29:04 time: 0.8230 data_time: 0.0766 memory: 14974 loss_prob: 1.1687 loss_thr: 0.5642 loss_db: 0.1866 loss: 1.9196 08/28 16:59:02 - mmengine - INFO - Epoch(train) [186][45/63] lr: 6.0200e-03 eta: 16:29:04 time: 0.8395 data_time: 0.0936 memory: 14974 loss_prob: 1.1081 loss_thr: 0.5699 loss_db: 0.1817 loss: 1.8596 08/28 16:59:06 - mmengine - INFO - Epoch(train) [186][50/63] lr: 6.0200e-03 eta: 16:28:49 time: 0.8209 data_time: 0.0782 memory: 14974 loss_prob: 0.9351 loss_thr: 0.5256 loss_db: 0.1571 loss: 1.6177 08/28 16:59:11 - mmengine - INFO - Epoch(train) [186][55/63] lr: 6.0200e-03 eta: 16:28:49 time: 0.8919 data_time: 0.1428 memory: 14974 loss_prob: 0.8961 loss_thr: 0.5216 loss_db: 0.1475 loss: 1.5652 08/28 16:59:16 - mmengine - INFO - Epoch(train) [186][60/63] lr: 6.0200e-03 eta: 16:28:42 time: 0.9674 data_time: 0.1489 memory: 14974 loss_prob: 0.9772 loss_thr: 0.5397 loss_db: 0.1592 loss: 1.6760 08/28 16:59:18 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 16:59:24 - mmengine - INFO - Epoch(train) [187][5/63] lr: 6.0146e-03 eta: 16:28:42 time: 1.0239 data_time: 0.2008 memory: 14974 loss_prob: 0.8908 loss_thr: 0.5056 loss_db: 0.1469 loss: 1.5432 08/28 16:59:28 - mmengine - INFO - Epoch(train) [187][10/63] lr: 6.0146e-03 eta: 16:28:18 time: 0.9920 data_time: 0.2553 memory: 14974 loss_prob: 0.9055 loss_thr: 0.5105 loss_db: 0.1487 loss: 1.5647 08/28 16:59:33 - mmengine - INFO - Epoch(train) [187][15/63] lr: 6.0146e-03 eta: 16:28:18 time: 0.9352 data_time: 0.1166 memory: 14974 loss_prob: 1.0469 loss_thr: 0.5643 loss_db: 0.1672 loss: 1.7784 08/28 16:59:38 - mmengine - INFO - Epoch(train) [187][20/63] lr: 6.0146e-03 eta: 16:28:11 time: 0.9722 data_time: 0.0583 memory: 14974 loss_prob: 1.0446 loss_thr: 0.5694 loss_db: 0.1720 loss: 1.7860 08/28 16:59:42 - mmengine - INFO - Epoch(train) [187][25/63] lr: 6.0146e-03 eta: 16:28:11 time: 0.9134 data_time: 0.0885 memory: 14974 loss_prob: 0.9812 loss_thr: 0.5445 loss_db: 0.1667 loss: 1.6923 08/28 16:59:47 - mmengine - INFO - Epoch(train) [187][30/63] lr: 6.0146e-03 eta: 16:28:03 time: 0.9544 data_time: 0.0867 memory: 14974 loss_prob: 0.9590 loss_thr: 0.5301 loss_db: 0.1567 loss: 1.6458 08/28 16:59:51 - mmengine - INFO - Epoch(train) [187][35/63] lr: 6.0146e-03 eta: 16:28:03 time: 0.9251 data_time: 0.0500 memory: 14974 loss_prob: 0.9108 loss_thr: 0.5197 loss_db: 0.1489 loss: 1.5793 08/28 16:59:56 - mmengine - INFO - Epoch(train) [187][40/63] lr: 6.0146e-03 eta: 16:27:48 time: 0.8278 data_time: 0.0988 memory: 14974 loss_prob: 0.9121 loss_thr: 0.5427 loss_db: 0.1524 loss: 1.6072 08/28 17:00:00 - mmengine - INFO - Epoch(train) [187][45/63] lr: 6.0146e-03 eta: 16:27:48 time: 0.8278 data_time: 0.1034 memory: 14974 loss_prob: 0.9722 loss_thr: 0.5573 loss_db: 0.1675 loss: 1.6970 08/28 17:00:03 - mmengine - INFO - Epoch(train) [187][50/63] lr: 6.0146e-03 eta: 16:27:31 time: 0.7853 data_time: 0.0600 memory: 14974 loss_prob: 1.0571 loss_thr: 0.5578 loss_db: 0.1762 loss: 1.7912 08/28 17:00:09 - mmengine - INFO - Epoch(train) [187][55/63] lr: 6.0146e-03 eta: 16:27:31 time: 0.9104 data_time: 0.0942 memory: 14974 loss_prob: 0.9759 loss_thr: 0.5190 loss_db: 0.1556 loss: 1.6505 08/28 17:00:12 - mmengine - INFO - Epoch(train) [187][60/63] lr: 6.0146e-03 eta: 16:27:21 time: 0.9034 data_time: 0.0846 memory: 14974 loss_prob: 0.9325 loss_thr: 0.5311 loss_db: 0.1541 loss: 1.6176 08/28 17:00:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:00:20 - mmengine - INFO - Epoch(train) [188][5/63] lr: 6.0093e-03 eta: 16:27:21 time: 0.8655 data_time: 0.1614 memory: 14974 loss_prob: 0.9927 loss_thr: 0.5507 loss_db: 0.1642 loss: 1.7075 08/28 17:00:24 - mmengine - INFO - Epoch(train) [188][10/63] lr: 6.0093e-03 eta: 16:26:55 time: 0.9576 data_time: 0.2340 memory: 14974 loss_prob: 0.9301 loss_thr: 0.5412 loss_db: 0.1567 loss: 1.6279 08/28 17:00:28 - mmengine - INFO - Epoch(train) [188][15/63] lr: 6.0093e-03 eta: 16:26:55 time: 0.8555 data_time: 0.1149 memory: 14974 loss_prob: 0.9187 loss_thr: 0.5181 loss_db: 0.1548 loss: 1.5916 08/28 17:00:32 - mmengine - INFO - Epoch(train) [188][20/63] lr: 6.0093e-03 eta: 16:26:40 time: 0.8205 data_time: 0.0672 memory: 14974 loss_prob: 0.9548 loss_thr: 0.5310 loss_db: 0.1582 loss: 1.6441 08/28 17:00:39 - mmengine - INFO - Epoch(train) [188][25/63] lr: 6.0093e-03 eta: 16:26:40 time: 1.0748 data_time: 0.1378 memory: 14974 loss_prob: 0.9578 loss_thr: 0.5298 loss_db: 0.1557 loss: 1.6433 08/28 17:00:43 - mmengine - INFO - Epoch(train) [188][30/63] lr: 6.0093e-03 eta: 16:26:38 time: 1.0710 data_time: 0.1384 memory: 14974 loss_prob: 1.0774 loss_thr: 0.5480 loss_db: 0.1599 loss: 1.7853 08/28 17:00:48 - mmengine - INFO - Epoch(train) [188][35/63] lr: 6.0093e-03 eta: 16:26:38 time: 0.8843 data_time: 0.1296 memory: 14974 loss_prob: 1.0949 loss_thr: 0.5530 loss_db: 0.1631 loss: 1.8110 08/28 17:00:52 - mmengine - INFO - Epoch(train) [188][40/63] lr: 6.0093e-03 eta: 16:26:27 time: 0.8923 data_time: 0.1329 memory: 14974 loss_prob: 0.9729 loss_thr: 0.5495 loss_db: 0.1609 loss: 1.6833 08/28 17:00:57 - mmengine - INFO - Epoch(train) [188][45/63] lr: 6.0093e-03 eta: 16:26:27 time: 0.9388 data_time: 0.0707 memory: 14974 loss_prob: 1.0089 loss_thr: 0.5790 loss_db: 0.1660 loss: 1.7538 08/28 17:01:01 - mmengine - INFO - Epoch(train) [188][50/63] lr: 6.0093e-03 eta: 16:26:19 time: 0.9472 data_time: 0.0850 memory: 14974 loss_prob: 1.0620 loss_thr: 0.5512 loss_db: 0.1711 loss: 1.7843 08/28 17:01:06 - mmengine - INFO - Epoch(train) [188][55/63] lr: 6.0093e-03 eta: 16:26:19 time: 0.8944 data_time: 0.0873 memory: 14974 loss_prob: 1.0502 loss_thr: 0.5274 loss_db: 0.1688 loss: 1.7464 08/28 17:01:10 - mmengine - INFO - Epoch(train) [188][60/63] lr: 6.0093e-03 eta: 16:26:06 time: 0.8640 data_time: 0.0593 memory: 14974 loss_prob: 0.8962 loss_thr: 0.5108 loss_db: 0.1473 loss: 1.5544 08/28 17:01:13 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:01:18 - mmengine - INFO - Epoch(train) [189][5/63] lr: 6.0040e-03 eta: 16:26:06 time: 0.9359 data_time: 0.2448 memory: 14974 loss_prob: 1.2085 loss_thr: 0.5534 loss_db: 0.1908 loss: 1.9528 08/28 17:01:22 - mmengine - INFO - Epoch(train) [189][10/63] lr: 6.0040e-03 eta: 16:25:39 time: 0.9304 data_time: 0.2030 memory: 14974 loss_prob: 1.0808 loss_thr: 0.5396 loss_db: 0.1772 loss: 1.7976 08/28 17:01:27 - mmengine - INFO - Epoch(train) [189][15/63] lr: 6.0040e-03 eta: 16:25:39 time: 0.8660 data_time: 0.0790 memory: 14974 loss_prob: 0.9468 loss_thr: 0.5272 loss_db: 0.1539 loss: 1.6279 08/28 17:01:31 - mmengine - INFO - Epoch(train) [189][20/63] lr: 6.0040e-03 eta: 16:25:26 time: 0.8583 data_time: 0.0641 memory: 14974 loss_prob: 0.8856 loss_thr: 0.5247 loss_db: 0.1445 loss: 1.5549 08/28 17:01:34 - mmengine - INFO - Epoch(train) [189][25/63] lr: 6.0040e-03 eta: 16:25:26 time: 0.7827 data_time: 0.0579 memory: 14974 loss_prob: 1.0106 loss_thr: 0.5550 loss_db: 0.1668 loss: 1.7325 08/28 17:01:39 - mmengine - INFO - Epoch(train) [189][30/63] lr: 6.0040e-03 eta: 16:25:13 time: 0.8531 data_time: 0.1401 memory: 14974 loss_prob: 1.0812 loss_thr: 0.5841 loss_db: 0.1750 loss: 1.8402 08/28 17:01:43 - mmengine - INFO - Epoch(train) [189][35/63] lr: 6.0040e-03 eta: 16:25:13 time: 0.8571 data_time: 0.1303 memory: 14974 loss_prob: 0.9559 loss_thr: 0.5591 loss_db: 0.1521 loss: 1.6671 08/28 17:01:48 - mmengine - INFO - Epoch(train) [189][40/63] lr: 6.0040e-03 eta: 16:25:00 time: 0.8606 data_time: 0.0671 memory: 14974 loss_prob: 0.8667 loss_thr: 0.5058 loss_db: 0.1413 loss: 1.5138 08/28 17:01:54 - mmengine - INFO - Epoch(train) [189][45/63] lr: 6.0040e-03 eta: 16:25:00 time: 1.0934 data_time: 0.1336 memory: 14974 loss_prob: 0.8304 loss_thr: 0.4853 loss_db: 0.1385 loss: 1.4541 08/28 17:01:58 - mmengine - INFO - Epoch(train) [189][50/63] lr: 6.0040e-03 eta: 16:24:59 time: 1.0739 data_time: 0.1309 memory: 14974 loss_prob: 0.8451 loss_thr: 0.5014 loss_db: 0.1409 loss: 1.4874 08/28 17:02:03 - mmengine - INFO - Epoch(train) [189][55/63] lr: 6.0040e-03 eta: 16:24:59 time: 0.9059 data_time: 0.1240 memory: 14974 loss_prob: 0.8542 loss_thr: 0.5125 loss_db: 0.1436 loss: 1.5103 08/28 17:02:09 - mmengine - INFO - Epoch(train) [189][60/63] lr: 6.0040e-03 eta: 16:24:55 time: 1.0268 data_time: 0.1358 memory: 14974 loss_prob: 0.9279 loss_thr: 0.5456 loss_db: 0.1546 loss: 1.6281 08/28 17:02:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:02:17 - mmengine - INFO - Epoch(train) [190][5/63] lr: 5.9986e-03 eta: 16:24:55 time: 1.0577 data_time: 0.2051 memory: 14974 loss_prob: 0.8959 loss_thr: 0.5282 loss_db: 0.1457 loss: 1.5698 08/28 17:02:22 - mmengine - INFO - Epoch(train) [190][10/63] lr: 5.9986e-03 eta: 16:24:31 time: 0.9850 data_time: 0.1852 memory: 14974 loss_prob: 0.8743 loss_thr: 0.5326 loss_db: 0.1477 loss: 1.5546 08/28 17:02:27 - mmengine - INFO - Epoch(train) [190][15/63] lr: 5.9986e-03 eta: 16:24:31 time: 0.9411 data_time: 0.0912 memory: 14974 loss_prob: 0.9308 loss_thr: 0.5446 loss_db: 0.1520 loss: 1.6274 08/28 17:02:31 - mmengine - INFO - Epoch(train) [190][20/63] lr: 5.9986e-03 eta: 16:24:19 time: 0.8780 data_time: 0.0896 memory: 14974 loss_prob: 0.9134 loss_thr: 0.5240 loss_db: 0.1469 loss: 1.5843 08/28 17:02:35 - mmengine - INFO - Epoch(train) [190][25/63] lr: 5.9986e-03 eta: 16:24:19 time: 0.8210 data_time: 0.0720 memory: 14974 loss_prob: 0.9851 loss_thr: 0.5542 loss_db: 0.1629 loss: 1.7023 08/28 17:02:39 - mmengine - INFO - Epoch(train) [190][30/63] lr: 5.9986e-03 eta: 16:24:05 time: 0.8413 data_time: 0.1007 memory: 14974 loss_prob: 0.9528 loss_thr: 0.5506 loss_db: 0.1539 loss: 1.6573 08/28 17:02:43 - mmengine - INFO - Epoch(train) [190][35/63] lr: 5.9986e-03 eta: 16:24:05 time: 0.8126 data_time: 0.0769 memory: 14974 loss_prob: 0.8361 loss_thr: 0.5044 loss_db: 0.1352 loss: 1.4757 08/28 17:02:47 - mmengine - INFO - Epoch(train) [190][40/63] lr: 5.9986e-03 eta: 16:23:48 time: 0.7829 data_time: 0.0407 memory: 14974 loss_prob: 0.8046 loss_thr: 0.4941 loss_db: 0.1324 loss: 1.4310 08/28 17:02:52 - mmengine - INFO - Epoch(train) [190][45/63] lr: 5.9986e-03 eta: 16:23:48 time: 0.8574 data_time: 0.1040 memory: 14974 loss_prob: 0.7802 loss_thr: 0.4891 loss_db: 0.1305 loss: 1.3998 08/28 17:02:56 - mmengine - INFO - Epoch(train) [190][50/63] lr: 5.9986e-03 eta: 16:23:36 time: 0.8792 data_time: 0.1265 memory: 14974 loss_prob: 0.8220 loss_thr: 0.4957 loss_db: 0.1382 loss: 1.4560 08/28 17:03:00 - mmengine - INFO - Epoch(train) [190][55/63] lr: 5.9986e-03 eta: 16:23:36 time: 0.8186 data_time: 0.0875 memory: 14974 loss_prob: 0.8646 loss_thr: 0.4993 loss_db: 0.1442 loss: 1.5082 08/28 17:03:06 - mmengine - INFO - Epoch(train) [190][60/63] lr: 5.9986e-03 eta: 16:23:30 time: 0.9866 data_time: 0.1265 memory: 14974 loss_prob: 0.8186 loss_thr: 0.4858 loss_db: 0.1382 loss: 1.4426 08/28 17:03:08 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:03:13 - mmengine - INFO - Epoch(train) [191][5/63] lr: 5.9933e-03 eta: 16:23:30 time: 1.0094 data_time: 0.2001 memory: 14974 loss_prob: 0.9204 loss_thr: 0.5187 loss_db: 0.1512 loss: 1.5903 08/28 17:03:18 - mmengine - INFO - Epoch(train) [191][10/63] lr: 5.9933e-03 eta: 16:23:06 time: 0.9841 data_time: 0.2434 memory: 14974 loss_prob: 0.9040 loss_thr: 0.5182 loss_db: 0.1475 loss: 1.5697 08/28 17:03:23 - mmengine - INFO - Epoch(train) [191][15/63] lr: 5.9933e-03 eta: 16:23:06 time: 0.9916 data_time: 0.1284 memory: 14974 loss_prob: 0.8824 loss_thr: 0.5299 loss_db: 0.1448 loss: 1.5572 08/28 17:03:28 - mmengine - INFO - Epoch(train) [191][20/63] lr: 5.9933e-03 eta: 16:23:00 time: 0.9729 data_time: 0.0711 memory: 14974 loss_prob: 0.8541 loss_thr: 0.5251 loss_db: 0.1401 loss: 1.5193 08/28 17:03:32 - mmengine - INFO - Epoch(train) [191][25/63] lr: 5.9933e-03 eta: 16:23:00 time: 0.8771 data_time: 0.0890 memory: 14974 loss_prob: 0.8754 loss_thr: 0.5208 loss_db: 0.1469 loss: 1.5431 08/28 17:03:36 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:03:36 - mmengine - INFO - Epoch(train) [191][30/63] lr: 5.9933e-03 eta: 16:22:47 time: 0.8649 data_time: 0.0831 memory: 14974 loss_prob: 0.8715 loss_thr: 0.5180 loss_db: 0.1469 loss: 1.5364 08/28 17:03:40 - mmengine - INFO - Epoch(train) [191][35/63] lr: 5.9933e-03 eta: 16:22:47 time: 0.8311 data_time: 0.0445 memory: 14974 loss_prob: 0.8391 loss_thr: 0.5092 loss_db: 0.1403 loss: 1.4885 08/28 17:03:45 - mmengine - INFO - Epoch(train) [191][40/63] lr: 5.9933e-03 eta: 16:22:35 time: 0.8716 data_time: 0.0914 memory: 14974 loss_prob: 0.8717 loss_thr: 0.5227 loss_db: 0.1460 loss: 1.5404 08/28 17:03:49 - mmengine - INFO - Epoch(train) [191][45/63] lr: 5.9933e-03 eta: 16:22:35 time: 0.8820 data_time: 0.1040 memory: 14974 loss_prob: 0.8810 loss_thr: 0.5074 loss_db: 0.1478 loss: 1.5362 08/28 17:03:53 - mmengine - INFO - Epoch(train) [191][50/63] lr: 5.9933e-03 eta: 16:22:19 time: 0.8045 data_time: 0.0633 memory: 14974 loss_prob: 0.8935 loss_thr: 0.5039 loss_db: 0.1453 loss: 1.5428 08/28 17:03:58 - mmengine - INFO - Epoch(train) [191][55/63] lr: 5.9933e-03 eta: 16:22:19 time: 0.8398 data_time: 0.0806 memory: 14974 loss_prob: 0.9161 loss_thr: 0.5256 loss_db: 0.1498 loss: 1.5915 08/28 17:04:02 - mmengine - INFO - Epoch(train) [191][60/63] lr: 5.9933e-03 eta: 16:22:05 time: 0.8440 data_time: 0.0707 memory: 14974 loss_prob: 0.8780 loss_thr: 0.5261 loss_db: 0.1464 loss: 1.5505 08/28 17:04:03 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:04:09 - mmengine - INFO - Epoch(train) [192][5/63] lr: 5.9879e-03 eta: 16:22:05 time: 0.9064 data_time: 0.1819 memory: 14974 loss_prob: 0.8322 loss_thr: 0.4974 loss_db: 0.1363 loss: 1.4660 08/28 17:04:14 - mmengine - INFO - Epoch(train) [192][10/63] lr: 5.9879e-03 eta: 16:21:44 time: 1.0376 data_time: 0.2702 memory: 14974 loss_prob: 0.8577 loss_thr: 0.5134 loss_db: 0.1441 loss: 1.5152 08/28 17:04:19 - mmengine - INFO - Epoch(train) [192][15/63] lr: 5.9879e-03 eta: 16:21:44 time: 0.9387 data_time: 0.1271 memory: 14974 loss_prob: 0.7973 loss_thr: 0.4983 loss_db: 0.1343 loss: 1.4299 08/28 17:04:23 - mmengine - INFO - Epoch(train) [192][20/63] lr: 5.9879e-03 eta: 16:21:32 time: 0.8731 data_time: 0.0627 memory: 14974 loss_prob: 0.7974 loss_thr: 0.5062 loss_db: 0.1320 loss: 1.4356 08/28 17:04:29 - mmengine - INFO - Epoch(train) [192][25/63] lr: 5.9879e-03 eta: 16:21:32 time: 1.0619 data_time: 0.1460 memory: 14974 loss_prob: 0.9988 loss_thr: 0.5958 loss_db: 0.1623 loss: 1.7570 08/28 17:04:33 - mmengine - INFO - Epoch(train) [192][30/63] lr: 5.9879e-03 eta: 16:21:29 time: 1.0471 data_time: 0.1351 memory: 14974 loss_prob: 1.0039 loss_thr: 0.5910 loss_db: 0.1645 loss: 1.7593 08/28 17:04:38 - mmengine - INFO - Epoch(train) [192][35/63] lr: 5.9879e-03 eta: 16:21:29 time: 0.9060 data_time: 0.1278 memory: 14974 loss_prob: 0.8968 loss_thr: 0.5429 loss_db: 0.1491 loss: 1.5887 08/28 17:04:42 - mmengine - INFO - Epoch(train) [192][40/63] lr: 5.9879e-03 eta: 16:21:19 time: 0.9069 data_time: 0.1307 memory: 14974 loss_prob: 0.8582 loss_thr: 0.5353 loss_db: 0.1445 loss: 1.5380 08/28 17:04:47 - mmengine - INFO - Epoch(train) [192][45/63] lr: 5.9879e-03 eta: 16:21:19 time: 0.8808 data_time: 0.0594 memory: 14974 loss_prob: 0.7899 loss_thr: 0.4921 loss_db: 0.1336 loss: 1.4156 08/28 17:04:51 - mmengine - INFO - Epoch(train) [192][50/63] lr: 5.9879e-03 eta: 16:21:09 time: 0.9176 data_time: 0.0909 memory: 14974 loss_prob: 0.8915 loss_thr: 0.5172 loss_db: 0.1465 loss: 1.5553 08/28 17:04:56 - mmengine - INFO - Epoch(train) [192][55/63] lr: 5.9879e-03 eta: 16:21:09 time: 0.9402 data_time: 0.0808 memory: 14974 loss_prob: 0.8832 loss_thr: 0.5321 loss_db: 0.1470 loss: 1.5623 08/28 17:05:00 - mmengine - INFO - Epoch(train) [192][60/63] lr: 5.9879e-03 eta: 16:20:59 time: 0.9132 data_time: 0.0533 memory: 14974 loss_prob: 0.7769 loss_thr: 0.4849 loss_db: 0.1305 loss: 1.3923 08/28 17:05:03 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:05:08 - mmengine - INFO - Epoch(train) [193][5/63] lr: 5.9826e-03 eta: 16:20:59 time: 0.9437 data_time: 0.2488 memory: 14974 loss_prob: 0.7910 loss_thr: 0.4971 loss_db: 0.1287 loss: 1.4167 08/28 17:05:12 - mmengine - INFO - Epoch(train) [193][10/63] lr: 5.9826e-03 eta: 16:20:32 time: 0.9152 data_time: 0.2002 memory: 14974 loss_prob: 0.8290 loss_thr: 0.5176 loss_db: 0.1390 loss: 1.4856 08/28 17:05:17 - mmengine - INFO - Epoch(train) [193][15/63] lr: 5.9826e-03 eta: 16:20:32 time: 0.8477 data_time: 0.0762 memory: 14974 loss_prob: 0.7834 loss_thr: 0.4991 loss_db: 0.1321 loss: 1.4146 08/28 17:05:21 - mmengine - INFO - Epoch(train) [193][20/63] lr: 5.9826e-03 eta: 16:20:19 time: 0.8540 data_time: 0.0681 memory: 14974 loss_prob: 0.7571 loss_thr: 0.4803 loss_db: 0.1267 loss: 1.3641 08/28 17:05:25 - mmengine - INFO - Epoch(train) [193][25/63] lr: 5.9826e-03 eta: 16:20:19 time: 0.7891 data_time: 0.0574 memory: 14974 loss_prob: 0.7838 loss_thr: 0.4821 loss_db: 0.1279 loss: 1.3938 08/28 17:05:29 - mmengine - INFO - Epoch(train) [193][30/63] lr: 5.9826e-03 eta: 16:20:07 time: 0.8722 data_time: 0.1332 memory: 14974 loss_prob: 0.8010 loss_thr: 0.4873 loss_db: 0.1334 loss: 1.4217 08/28 17:05:34 - mmengine - INFO - Epoch(train) [193][35/63] lr: 5.9826e-03 eta: 16:20:07 time: 0.9604 data_time: 0.1337 memory: 14974 loss_prob: 0.8047 loss_thr: 0.5067 loss_db: 0.1386 loss: 1.4500 08/28 17:05:39 - mmengine - INFO - Epoch(train) [193][40/63] lr: 5.9826e-03 eta: 16:20:00 time: 0.9621 data_time: 0.0638 memory: 14974 loss_prob: 0.7679 loss_thr: 0.4951 loss_db: 0.1281 loss: 1.3911 08/28 17:05:44 - mmengine - INFO - Epoch(train) [193][45/63] lr: 5.9826e-03 eta: 16:20:00 time: 0.9705 data_time: 0.1272 memory: 14974 loss_prob: 0.8569 loss_thr: 0.5182 loss_db: 0.1399 loss: 1.5150 08/28 17:05:48 - mmengine - INFO - Epoch(train) [193][50/63] lr: 5.9826e-03 eta: 16:19:49 time: 0.8984 data_time: 0.1348 memory: 14974 loss_prob: 0.9763 loss_thr: 0.5779 loss_db: 0.1618 loss: 1.7161 08/28 17:05:52 - mmengine - INFO - Epoch(train) [193][55/63] lr: 5.9826e-03 eta: 16:19:49 time: 0.8119 data_time: 0.0719 memory: 14974 loss_prob: 0.9275 loss_thr: 0.5546 loss_db: 0.1550 loss: 1.6371 08/28 17:05:58 - mmengine - INFO - Epoch(train) [193][60/63] lr: 5.9826e-03 eta: 16:19:42 time: 0.9807 data_time: 0.1394 memory: 14974 loss_prob: 0.8544 loss_thr: 0.5211 loss_db: 0.1427 loss: 1.5182 08/28 17:06:00 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:06:05 - mmengine - INFO - Epoch(train) [194][5/63] lr: 5.9772e-03 eta: 16:19:42 time: 0.9427 data_time: 0.1718 memory: 14974 loss_prob: 0.7958 loss_thr: 0.5115 loss_db: 0.1338 loss: 1.4411 08/28 17:06:10 - mmengine - INFO - Epoch(train) [194][10/63] lr: 5.9772e-03 eta: 16:19:17 time: 0.9577 data_time: 0.2177 memory: 14974 loss_prob: 0.8573 loss_thr: 0.5087 loss_db: 0.1412 loss: 1.5072 08/28 17:06:14 - mmengine - INFO - Epoch(train) [194][15/63] lr: 5.9772e-03 eta: 16:19:17 time: 0.8776 data_time: 0.0887 memory: 14974 loss_prob: 0.8738 loss_thr: 0.5063 loss_db: 0.1385 loss: 1.5186 08/28 17:06:18 - mmengine - INFO - Epoch(train) [194][20/63] lr: 5.9772e-03 eta: 16:19:04 time: 0.8377 data_time: 0.0684 memory: 14974 loss_prob: 0.9187 loss_thr: 0.5433 loss_db: 0.1498 loss: 1.6118 08/28 17:06:23 - mmengine - INFO - Epoch(train) [194][25/63] lr: 5.9772e-03 eta: 16:19:04 time: 0.8496 data_time: 0.1155 memory: 14974 loss_prob: 0.9224 loss_thr: 0.5564 loss_db: 0.1545 loss: 1.6333 08/28 17:06:27 - mmengine - INFO - Epoch(train) [194][30/63] lr: 5.9772e-03 eta: 16:18:50 time: 0.8495 data_time: 0.0945 memory: 14974 loss_prob: 0.9113 loss_thr: 0.5354 loss_db: 0.1522 loss: 1.5988 08/28 17:06:31 - mmengine - INFO - Epoch(train) [194][35/63] lr: 5.9772e-03 eta: 16:18:50 time: 0.7948 data_time: 0.0415 memory: 14974 loss_prob: 0.9029 loss_thr: 0.5228 loss_db: 0.1480 loss: 1.5737 08/28 17:06:35 - mmengine - INFO - Epoch(train) [194][40/63] lr: 5.9772e-03 eta: 16:18:35 time: 0.8068 data_time: 0.0653 memory: 14974 loss_prob: 1.2182 loss_thr: 0.5206 loss_db: 0.1838 loss: 1.9226 08/28 17:06:39 - mmengine - INFO - Epoch(train) [194][45/63] lr: 5.9772e-03 eta: 16:18:35 time: 0.8362 data_time: 0.0709 memory: 14974 loss_prob: 1.5988 loss_thr: 0.5612 loss_db: 0.2272 loss: 2.3872 08/28 17:06:43 - mmengine - INFO - Epoch(train) [194][50/63] lr: 5.9772e-03 eta: 16:18:20 time: 0.8089 data_time: 0.0563 memory: 14974 loss_prob: 1.4857 loss_thr: 0.6240 loss_db: 0.2221 loss: 2.3318 08/28 17:06:48 - mmengine - INFO - Epoch(train) [194][55/63] lr: 5.9772e-03 eta: 16:18:20 time: 0.8843 data_time: 0.1604 memory: 14974 loss_prob: 1.1217 loss_thr: 0.5916 loss_db: 0.1833 loss: 1.8966 08/28 17:06:52 - mmengine - INFO - Epoch(train) [194][60/63] lr: 5.9772e-03 eta: 16:18:08 time: 0.8912 data_time: 0.1708 memory: 14974 loss_prob: 0.9163 loss_thr: 0.5256 loss_db: 0.1501 loss: 1.5920 08/28 17:06:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:07:01 - mmengine - INFO - Epoch(train) [195][5/63] lr: 5.9719e-03 eta: 16:18:08 time: 1.0227 data_time: 0.2118 memory: 14974 loss_prob: 0.9601 loss_thr: 0.5606 loss_db: 0.1568 loss: 1.6775 08/28 17:07:05 - mmengine - INFO - Epoch(train) [195][10/63] lr: 5.9719e-03 eta: 16:17:51 time: 1.0973 data_time: 0.2870 memory: 14974 loss_prob: 0.9513 loss_thr: 0.5463 loss_db: 0.1567 loss: 1.6543 08/28 17:07:09 - mmengine - INFO - Epoch(train) [195][15/63] lr: 5.9719e-03 eta: 16:17:51 time: 0.8748 data_time: 0.1390 memory: 14974 loss_prob: 0.9159 loss_thr: 0.5179 loss_db: 0.1479 loss: 1.5817 08/28 17:07:14 - mmengine - INFO - Epoch(train) [195][20/63] lr: 5.9719e-03 eta: 16:17:37 time: 0.8351 data_time: 0.0664 memory: 14974 loss_prob: 0.8909 loss_thr: 0.5167 loss_db: 0.1473 loss: 1.5548 08/28 17:07:19 - mmengine - INFO - Epoch(train) [195][25/63] lr: 5.9719e-03 eta: 16:17:37 time: 0.9363 data_time: 0.1096 memory: 14974 loss_prob: 1.0606 loss_thr: 0.5438 loss_db: 0.1678 loss: 1.7722 08/28 17:07:23 - mmengine - INFO - Epoch(train) [195][30/63] lr: 5.9719e-03 eta: 16:17:26 time: 0.8934 data_time: 0.0911 memory: 14974 loss_prob: 1.0784 loss_thr: 0.5483 loss_db: 0.1656 loss: 1.7923 08/28 17:07:28 - mmengine - INFO - Epoch(train) [195][35/63] lr: 5.9719e-03 eta: 16:17:26 time: 0.8883 data_time: 0.0480 memory: 14974 loss_prob: 0.8685 loss_thr: 0.5126 loss_db: 0.1452 loss: 1.5263 08/28 17:07:32 - mmengine - INFO - Epoch(train) [195][40/63] lr: 5.9719e-03 eta: 16:17:17 time: 0.9232 data_time: 0.0857 memory: 14974 loss_prob: 0.8968 loss_thr: 0.5276 loss_db: 0.1539 loss: 1.5782 08/28 17:07:36 - mmengine - INFO - Epoch(train) [195][45/63] lr: 5.9719e-03 eta: 16:17:17 time: 0.8355 data_time: 0.0872 memory: 14974 loss_prob: 0.8968 loss_thr: 0.5124 loss_db: 0.1469 loss: 1.5562 08/28 17:07:40 - mmengine - INFO - Epoch(train) [195][50/63] lr: 5.9719e-03 eta: 16:17:01 time: 0.8037 data_time: 0.0601 memory: 14974 loss_prob: 0.9462 loss_thr: 0.5368 loss_db: 0.1545 loss: 1.6375 08/28 17:07:44 - mmengine - INFO - Epoch(train) [195][55/63] lr: 5.9719e-03 eta: 16:17:01 time: 0.8293 data_time: 0.1016 memory: 14974 loss_prob: 0.9758 loss_thr: 0.5533 loss_db: 0.1624 loss: 1.6915 08/28 17:07:49 - mmengine - INFO - Epoch(train) [195][60/63] lr: 5.9719e-03 eta: 16:16:52 time: 0.9338 data_time: 0.1008 memory: 14974 loss_prob: 0.9848 loss_thr: 0.5278 loss_db: 0.1635 loss: 1.6761 08/28 17:07:51 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:07:56 - mmengine - INFO - Epoch(train) [196][5/63] lr: 5.9665e-03 eta: 16:16:52 time: 0.8630 data_time: 0.1699 memory: 14974 loss_prob: 0.9217 loss_thr: 0.5348 loss_db: 0.1517 loss: 1.6083 08/28 17:08:01 - mmengine - INFO - Epoch(train) [196][10/63] lr: 5.9665e-03 eta: 16:16:28 time: 0.9632 data_time: 0.2490 memory: 14974 loss_prob: 0.9556 loss_thr: 0.5377 loss_db: 0.1590 loss: 1.6523 08/28 17:08:05 - mmengine - INFO - Epoch(train) [196][15/63] lr: 5.9665e-03 eta: 16:16:28 time: 0.8853 data_time: 0.1297 memory: 14974 loss_prob: 1.0565 loss_thr: 0.5825 loss_db: 0.1726 loss: 1.8117 08/28 17:08:10 - mmengine - INFO - Epoch(train) [196][20/63] lr: 5.9665e-03 eta: 16:16:18 time: 0.9136 data_time: 0.0672 memory: 14974 loss_prob: 1.0342 loss_thr: 0.5618 loss_db: 0.1710 loss: 1.7670 08/28 17:08:16 - mmengine - INFO - Epoch(train) [196][25/63] lr: 5.9665e-03 eta: 16:16:18 time: 1.0456 data_time: 0.1263 memory: 14974 loss_prob: 0.9345 loss_thr: 0.5080 loss_db: 0.1537 loss: 1.5961 08/28 17:08:20 - mmengine - INFO - Epoch(train) [196][30/63] lr: 5.9665e-03 eta: 16:16:11 time: 0.9643 data_time: 0.1306 memory: 14974 loss_prob: 1.0528 loss_thr: 0.5464 loss_db: 0.1754 loss: 1.7746 08/28 17:08:24 - mmengine - INFO - Epoch(train) [196][35/63] lr: 5.9665e-03 eta: 16:16:11 time: 0.7814 data_time: 0.0631 memory: 14974 loss_prob: 1.0663 loss_thr: 0.5488 loss_db: 0.1795 loss: 1.7946 08/28 17:08:30 - mmengine - INFO - Epoch(train) [196][40/63] lr: 5.9665e-03 eta: 16:16:07 time: 1.0292 data_time: 0.1189 memory: 14974 loss_prob: 0.9005 loss_thr: 0.5217 loss_db: 0.1524 loss: 1.5747 08/28 17:08:35 - mmengine - INFO - Epoch(train) [196][45/63] lr: 5.9665e-03 eta: 16:16:07 time: 1.1354 data_time: 0.1288 memory: 14974 loss_prob: 0.8795 loss_thr: 0.5340 loss_db: 0.1470 loss: 1.5605 08/28 17:08:39 - mmengine - INFO - Epoch(train) [196][50/63] lr: 5.9665e-03 eta: 16:15:57 time: 0.9153 data_time: 0.0872 memory: 14974 loss_prob: 0.9824 loss_thr: 0.5615 loss_db: 0.1636 loss: 1.7075 08/28 17:08:44 - mmengine - INFO - Epoch(train) [196][55/63] lr: 5.9665e-03 eta: 16:15:57 time: 0.8908 data_time: 0.0787 memory: 14974 loss_prob: 0.9473 loss_thr: 0.5482 loss_db: 0.1563 loss: 1.6518 08/28 17:08:48 - mmengine - INFO - Epoch(train) [196][60/63] lr: 5.9665e-03 eta: 16:15:45 time: 0.8647 data_time: 0.0641 memory: 14974 loss_prob: 0.9158 loss_thr: 0.5298 loss_db: 0.1502 loss: 1.5959 08/28 17:08:50 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:08:56 - mmengine - INFO - Epoch(train) [197][5/63] lr: 5.9612e-03 eta: 16:15:45 time: 0.9270 data_time: 0.2373 memory: 14974 loss_prob: 1.3207 loss_thr: 0.5830 loss_db: 0.1930 loss: 2.0966 08/28 17:09:00 - mmengine - INFO - Epoch(train) [197][10/63] lr: 5.9612e-03 eta: 16:15:19 time: 0.9305 data_time: 0.1940 memory: 14974 loss_prob: 1.3346 loss_thr: 0.6046 loss_db: 0.1987 loss: 2.1378 08/28 17:09:04 - mmengine - INFO - Epoch(train) [197][15/63] lr: 5.9612e-03 eta: 16:15:19 time: 0.8034 data_time: 0.0691 memory: 14974 loss_prob: 1.1320 loss_thr: 0.5755 loss_db: 0.1835 loss: 1.8910 08/28 17:09:08 - mmengine - INFO - Epoch(train) [197][20/63] lr: 5.9612e-03 eta: 16:15:04 time: 0.8200 data_time: 0.0692 memory: 14974 loss_prob: 1.0528 loss_thr: 0.5402 loss_db: 0.1639 loss: 1.7569 08/28 17:09:12 - mmengine - INFO - Epoch(train) [197][25/63] lr: 5.9612e-03 eta: 16:15:04 time: 0.8203 data_time: 0.0825 memory: 14974 loss_prob: 0.8758 loss_thr: 0.5082 loss_db: 0.1411 loss: 1.5250 08/28 17:09:17 - mmengine - INFO - Epoch(train) [197][30/63] lr: 5.9612e-03 eta: 16:14:53 time: 0.8905 data_time: 0.1444 memory: 14974 loss_prob: 0.8864 loss_thr: 0.5157 loss_db: 0.1455 loss: 1.5476 08/28 17:09:21 - mmengine - INFO - Epoch(train) [197][35/63] lr: 5.9612e-03 eta: 16:14:53 time: 0.8945 data_time: 0.1398 memory: 14974 loss_prob: 0.8819 loss_thr: 0.5224 loss_db: 0.1464 loss: 1.5507 08/28 17:09:25 - mmengine - INFO - Epoch(train) [197][40/63] lr: 5.9612e-03 eta: 16:14:41 time: 0.8745 data_time: 0.0744 memory: 14974 loss_prob: 0.8674 loss_thr: 0.5353 loss_db: 0.1438 loss: 1.5465 08/28 17:09:30 - mmengine - INFO - Epoch(train) [197][45/63] lr: 5.9612e-03 eta: 16:14:41 time: 0.9651 data_time: 0.1213 memory: 14974 loss_prob: 0.9838 loss_thr: 0.5652 loss_db: 0.1614 loss: 1.7104 08/28 17:09:34 - mmengine - INFO - Epoch(train) [197][50/63] lr: 5.9612e-03 eta: 16:14:30 time: 0.8981 data_time: 0.1332 memory: 14974 loss_prob: 1.0328 loss_thr: 0.5501 loss_db: 0.1689 loss: 1.7518 08/28 17:09:39 - mmengine - INFO - Epoch(train) [197][55/63] lr: 5.9612e-03 eta: 16:14:30 time: 0.8765 data_time: 0.0611 memory: 14974 loss_prob: 0.9148 loss_thr: 0.5095 loss_db: 0.1483 loss: 1.5725 08/28 17:09:44 - mmengine - INFO - Epoch(train) [197][60/63] lr: 5.9612e-03 eta: 16:14:25 time: 0.9979 data_time: 0.1193 memory: 14974 loss_prob: 0.8019 loss_thr: 0.4775 loss_db: 0.1295 loss: 1.4089 08/28 17:09:47 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:09:53 - mmengine - INFO - Epoch(train) [198][5/63] lr: 5.9558e-03 eta: 16:14:25 time: 1.0435 data_time: 0.1786 memory: 14974 loss_prob: 1.0305 loss_thr: 0.5618 loss_db: 0.1646 loss: 1.7569 08/28 17:09:58 - mmengine - INFO - Epoch(train) [198][10/63] lr: 5.9558e-03 eta: 16:14:03 time: 1.0121 data_time: 0.2198 memory: 14974 loss_prob: 1.0051 loss_thr: 0.5326 loss_db: 0.1625 loss: 1.7001 08/28 17:10:02 - mmengine - INFO - Epoch(train) [198][15/63] lr: 5.9558e-03 eta: 16:14:03 time: 0.8756 data_time: 0.0824 memory: 14974 loss_prob: 0.9125 loss_thr: 0.5129 loss_db: 0.1542 loss: 1.5796 08/28 17:10:06 - mmengine - INFO - Epoch(train) [198][20/63] lr: 5.9558e-03 eta: 16:13:49 time: 0.8279 data_time: 0.0514 memory: 14974 loss_prob: 0.8493 loss_thr: 0.5241 loss_db: 0.1439 loss: 1.5173 08/28 17:10:10 - mmengine - INFO - Epoch(train) [198][25/63] lr: 5.9558e-03 eta: 16:13:49 time: 0.8729 data_time: 0.1040 memory: 14974 loss_prob: 0.8706 loss_thr: 0.5215 loss_db: 0.1460 loss: 1.5381 08/28 17:10:14 - mmengine - INFO - Epoch(train) [198][30/63] lr: 5.9558e-03 eta: 16:13:36 time: 0.8432 data_time: 0.1066 memory: 14974 loss_prob: 0.8224 loss_thr: 0.4962 loss_db: 0.1371 loss: 1.4557 08/28 17:10:18 - mmengine - INFO - Epoch(train) [198][35/63] lr: 5.9558e-03 eta: 16:13:36 time: 0.7898 data_time: 0.0557 memory: 14974 loss_prob: 0.7862 loss_thr: 0.4963 loss_db: 0.1309 loss: 1.4133 08/28 17:10:23 - mmengine - INFO - Epoch(train) [198][40/63] lr: 5.9558e-03 eta: 16:13:22 time: 0.8327 data_time: 0.0758 memory: 14974 loss_prob: 0.8839 loss_thr: 0.5307 loss_db: 0.1461 loss: 1.5607 08/28 17:10:27 - mmengine - INFO - Epoch(train) [198][45/63] lr: 5.9558e-03 eta: 16:13:22 time: 0.8332 data_time: 0.0857 memory: 14974 loss_prob: 0.8866 loss_thr: 0.5196 loss_db: 0.1467 loss: 1.5529 08/28 17:10:31 - mmengine - INFO - Epoch(train) [198][50/63] lr: 5.9558e-03 eta: 16:13:06 time: 0.7910 data_time: 0.0760 memory: 14974 loss_prob: 0.8216 loss_thr: 0.4837 loss_db: 0.1390 loss: 1.4443 08/28 17:10:36 - mmengine - INFO - Epoch(train) [198][55/63] lr: 5.9558e-03 eta: 16:13:06 time: 0.8948 data_time: 0.1203 memory: 14974 loss_prob: 0.8415 loss_thr: 0.5039 loss_db: 0.1383 loss: 1.4837 08/28 17:10:40 - mmengine - INFO - Epoch(train) [198][60/63] lr: 5.9558e-03 eta: 16:12:55 time: 0.9035 data_time: 0.1101 memory: 14974 loss_prob: 0.9020 loss_thr: 0.5468 loss_db: 0.1471 loss: 1.5958 08/28 17:10:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:10:48 - mmengine - INFO - Epoch(train) [199][5/63] lr: 5.9505e-03 eta: 16:12:55 time: 1.0016 data_time: 0.1977 memory: 14974 loss_prob: 0.9273 loss_thr: 0.5597 loss_db: 0.1545 loss: 1.6416 08/28 17:10:53 - mmengine - INFO - Epoch(train) [199][10/63] lr: 5.9505e-03 eta: 16:12:36 time: 1.0499 data_time: 0.2640 memory: 14974 loss_prob: 0.9102 loss_thr: 0.5478 loss_db: 0.1467 loss: 1.6046 08/28 17:10:57 - mmengine - INFO - Epoch(train) [199][15/63] lr: 5.9505e-03 eta: 16:12:36 time: 0.8908 data_time: 0.1324 memory: 14974 loss_prob: 0.8619 loss_thr: 0.5194 loss_db: 0.1405 loss: 1.5218 08/28 17:11:02 - mmengine - INFO - Epoch(train) [199][20/63] lr: 5.9505e-03 eta: 16:12:28 time: 0.9658 data_time: 0.0663 memory: 14974 loss_prob: 0.8566 loss_thr: 0.5197 loss_db: 0.1436 loss: 1.5199 08/28 17:11:07 - mmengine - INFO - Epoch(train) [199][25/63] lr: 5.9505e-03 eta: 16:12:28 time: 1.0008 data_time: 0.0964 memory: 14974 loss_prob: 0.8202 loss_thr: 0.5100 loss_db: 0.1382 loss: 1.4684 08/28 17:11:11 - mmengine - INFO - Epoch(train) [199][30/63] lr: 5.9505e-03 eta: 16:12:17 time: 0.8795 data_time: 0.0893 memory: 14974 loss_prob: 0.8107 loss_thr: 0.5127 loss_db: 0.1334 loss: 1.4569 08/28 17:11:16 - mmengine - INFO - Epoch(train) [199][35/63] lr: 5.9505e-03 eta: 16:12:17 time: 0.9136 data_time: 0.0521 memory: 14974 loss_prob: 0.8206 loss_thr: 0.4984 loss_db: 0.1370 loss: 1.4560 08/28 17:11:21 - mmengine - INFO - Epoch(train) [199][40/63] lr: 5.9505e-03 eta: 16:12:08 time: 0.9323 data_time: 0.0977 memory: 14974 loss_prob: 0.8895 loss_thr: 0.5147 loss_db: 0.1471 loss: 1.5513 08/28 17:11:24 - mmengine - INFO - Epoch(train) [199][45/63] lr: 5.9505e-03 eta: 16:12:08 time: 0.8215 data_time: 0.0973 memory: 14974 loss_prob: 0.9727 loss_thr: 0.5562 loss_db: 0.1579 loss: 1.6867 08/28 17:11:29 - mmengine - INFO - Epoch(train) [199][50/63] lr: 5.9505e-03 eta: 16:11:55 time: 0.8468 data_time: 0.0686 memory: 14974 loss_prob: 0.8881 loss_thr: 0.5326 loss_db: 0.1473 loss: 1.5680 08/28 17:11:33 - mmengine - INFO - Epoch(train) [199][55/63] lr: 5.9505e-03 eta: 16:11:55 time: 0.8755 data_time: 0.0889 memory: 14974 loss_prob: 0.8695 loss_thr: 0.5096 loss_db: 0.1447 loss: 1.5238 08/28 17:11:37 - mmengine - INFO - Epoch(train) [199][60/63] lr: 5.9505e-03 eta: 16:11:39 time: 0.7971 data_time: 0.0699 memory: 14974 loss_prob: 0.9510 loss_thr: 0.5416 loss_db: 0.1563 loss: 1.6489 08/28 17:11:40 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:11:45 - mmengine - INFO - Epoch(train) [200][5/63] lr: 5.9451e-03 eta: 16:11:39 time: 0.9924 data_time: 0.2530 memory: 14974 loss_prob: 0.9048 loss_thr: 0.5362 loss_db: 0.1496 loss: 1.5906 08/28 17:11:50 - mmengine - INFO - Epoch(train) [200][10/63] lr: 5.9451e-03 eta: 16:11:19 time: 1.0440 data_time: 0.3130 memory: 14974 loss_prob: 0.9366 loss_thr: 0.5349 loss_db: 0.1549 loss: 1.6264 08/28 17:11:54 - mmengine - INFO - Epoch(train) [200][15/63] lr: 5.9451e-03 eta: 16:11:19 time: 0.8632 data_time: 0.1366 memory: 14974 loss_prob: 0.8773 loss_thr: 0.5423 loss_db: 0.1473 loss: 1.5669 08/28 17:11:59 - mmengine - INFO - Epoch(train) [200][20/63] lr: 5.9451e-03 eta: 16:11:06 time: 0.8355 data_time: 0.0619 memory: 14974 loss_prob: 0.7900 loss_thr: 0.5047 loss_db: 0.1331 loss: 1.4279 08/28 17:12:04 - mmengine - INFO - Epoch(train) [200][25/63] lr: 5.9451e-03 eta: 16:11:06 time: 1.0139 data_time: 0.1253 memory: 14974 loss_prob: 0.8926 loss_thr: 0.5063 loss_db: 0.1457 loss: 1.5447 08/28 17:12:08 - mmengine - INFO - Epoch(train) [200][30/63] lr: 5.9451e-03 eta: 16:10:58 time: 0.9516 data_time: 0.1147 memory: 14974 loss_prob: 0.9141 loss_thr: 0.5061 loss_db: 0.1507 loss: 1.5708 08/28 17:12:12 - mmengine - INFO - Epoch(train) [200][35/63] lr: 5.9451e-03 eta: 16:10:58 time: 0.7724 data_time: 0.0541 memory: 14974 loss_prob: 0.9177 loss_thr: 0.5174 loss_db: 0.1528 loss: 1.5880 08/28 17:12:18 - mmengine - INFO - Epoch(train) [200][40/63] lr: 5.9451e-03 eta: 16:10:52 time: 0.9843 data_time: 0.1303 memory: 14974 loss_prob: 0.8930 loss_thr: 0.5254 loss_db: 0.1463 loss: 1.5646 08/28 17:12:23 - mmengine - INFO - Epoch(train) [200][45/63] lr: 5.9451e-03 eta: 16:10:52 time: 1.0820 data_time: 0.1265 memory: 14974 loss_prob: 0.8602 loss_thr: 0.5086 loss_db: 0.1434 loss: 1.5121 08/28 17:12:27 - mmengine - INFO - Epoch(train) [200][50/63] lr: 5.9451e-03 eta: 16:10:43 time: 0.9336 data_time: 0.0951 memory: 14974 loss_prob: 0.9023 loss_thr: 0.5315 loss_db: 0.1507 loss: 1.5845 08/28 17:12:32 - mmengine - INFO - Epoch(train) [200][55/63] lr: 5.9451e-03 eta: 16:10:43 time: 0.9225 data_time: 0.0871 memory: 14974 loss_prob: 0.9234 loss_thr: 0.5496 loss_db: 0.1538 loss: 1.6268 08/28 17:12:36 - mmengine - INFO - Epoch(train) [200][60/63] lr: 5.9451e-03 eta: 16:10:30 time: 0.8626 data_time: 0.0470 memory: 14974 loss_prob: 1.1068 loss_thr: 0.5750 loss_db: 0.1776 loss: 1.8594 08/28 17:12:38 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:12:38 - mmengine - INFO - Saving checkpoint at 200 epochs 08/28 17:12:45 - mmengine - INFO - Epoch(val) [200][5/500] eta: 16:10:30 time: 0.0750 data_time: 0.0159 memory: 14974 08/28 17:12:45 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:00:37 time: 0.0765 data_time: 0.0161 memory: 1021 08/28 17:12:45 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:00:37 time: 0.0497 data_time: 0.0026 memory: 1021 08/28 17:12:45 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:23 time: 0.0499 data_time: 0.0024 memory: 1021 08/28 17:12:46 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:23 time: 0.0444 data_time: 0.0021 memory: 1021 08/28 17:12:46 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:21 time: 0.0467 data_time: 0.0022 memory: 1021 08/28 17:12:46 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:21 time: 0.0470 data_time: 0.0024 memory: 1021 08/28 17:12:46 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:21 time: 0.0474 data_time: 0.0024 memory: 1021 08/28 17:12:46 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:21 time: 0.0490 data_time: 0.0025 memory: 1021 08/28 17:12:47 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:00:20 time: 0.0463 data_time: 0.0023 memory: 1021 08/28 17:12:47 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:00:20 time: 0.0472 data_time: 0.0021 memory: 1021 08/28 17:12:47 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:19 time: 0.0453 data_time: 0.0020 memory: 1021 08/28 17:12:47 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:19 time: 0.0453 data_time: 0.0021 memory: 1021 08/28 17:12:48 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:20 time: 0.0480 data_time: 0.0024 memory: 1021 08/28 17:12:48 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:20 time: 0.0459 data_time: 0.0025 memory: 1021 08/28 17:12:48 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:18 time: 0.0437 data_time: 0.0025 memory: 1021 08/28 17:12:48 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:18 time: 0.0427 data_time: 0.0025 memory: 1021 08/28 17:12:49 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:00:18 time: 0.0461 data_time: 0.0023 memory: 1021 08/28 17:12:49 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:00:18 time: 0.0482 data_time: 0.0021 memory: 1021 08/28 17:12:49 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:00:17 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 17:12:49 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:00:17 time: 0.0441 data_time: 0.0021 memory: 1021 08/28 17:12:49 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:17 time: 0.0442 data_time: 0.0021 memory: 1021 08/28 17:12:50 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:17 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 17:12:50 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:17 time: 0.0460 data_time: 0.0021 memory: 1021 08/28 17:12:50 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:17 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 17:12:50 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:16 time: 0.0454 data_time: 0.0021 memory: 1021 08/28 17:12:51 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:16 time: 0.0453 data_time: 0.0022 memory: 1021 08/28 17:12:51 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:15 time: 0.0443 data_time: 0.0023 memory: 1021 08/28 17:12:51 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:15 time: 0.0502 data_time: 0.0024 memory: 1021 08/28 17:12:51 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:17 time: 0.0505 data_time: 0.0023 memory: 1021 08/28 17:12:52 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:17 time: 0.0489 data_time: 0.0021 memory: 1021 08/28 17:12:52 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:16 time: 0.0485 data_time: 0.0022 memory: 1021 08/28 17:12:52 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:16 time: 0.0469 data_time: 0.0024 memory: 1021 08/28 17:12:52 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:15 time: 0.0473 data_time: 0.0023 memory: 1021 08/28 17:12:52 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:15 time: 0.0450 data_time: 0.0022 memory: 1021 08/28 17:12:53 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:14 time: 0.0458 data_time: 0.0023 memory: 1021 08/28 17:12:53 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:14 time: 0.0484 data_time: 0.0024 memory: 1021 08/28 17:12:53 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:00:15 time: 0.0491 data_time: 0.0025 memory: 1021 08/28 17:12:53 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:00:15 time: 0.0467 data_time: 0.0026 memory: 1021 08/28 17:12:54 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:00:15 time: 0.0509 data_time: 0.0024 memory: 1021 08/28 17:12:54 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:00:15 time: 0.0547 data_time: 0.0065 memory: 1021 08/28 17:12:54 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:13 time: 0.0479 data_time: 0.0066 memory: 1021 08/28 17:12:54 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:13 time: 0.0444 data_time: 0.0021 memory: 1021 08/28 17:12:55 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:12 time: 0.0455 data_time: 0.0020 memory: 1021 08/28 17:12:55 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:12 time: 0.0473 data_time: 0.0021 memory: 1021 08/28 17:12:56 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:27 time: 0.1003 data_time: 0.0046 memory: 1021 08/28 17:12:56 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:27 time: 0.0994 data_time: 0.0050 memory: 1021 08/28 17:12:56 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:12 time: 0.0468 data_time: 0.0026 memory: 1021 08/28 17:12:56 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:12 time: 0.0447 data_time: 0.0023 memory: 1021 08/28 17:12:57 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:12 time: 0.0491 data_time: 0.0026 memory: 1021 08/28 17:12:57 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:12 time: 0.0491 data_time: 0.0028 memory: 1021 08/28 17:12:57 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:10 time: 0.0450 data_time: 0.0026 memory: 1021 08/28 17:12:57 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:10 time: 0.0459 data_time: 0.0025 memory: 1021 08/28 17:12:58 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:10 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 17:12:58 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:10 time: 0.0448 data_time: 0.0021 memory: 1021 08/28 17:12:58 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:00:10 time: 0.0471 data_time: 0.0021 memory: 1021 08/28 17:12:58 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:00:10 time: 0.0477 data_time: 0.0021 memory: 1021 08/28 17:12:58 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:09 time: 0.0469 data_time: 0.0022 memory: 1021 08/28 17:12:59 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:09 time: 0.0476 data_time: 0.0022 memory: 1021 08/28 17:12:59 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:09 time: 0.0460 data_time: 0.0021 memory: 1021 08/28 17:12:59 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:09 time: 0.0449 data_time: 0.0021 memory: 1021 08/28 17:12:59 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:08 time: 0.0439 data_time: 0.0021 memory: 1021 08/28 17:13:00 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:08 time: 0.0471 data_time: 0.0021 memory: 1021 08/28 17:13:00 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:08 time: 0.0473 data_time: 0.0021 memory: 1021 08/28 17:13:00 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:08 time: 0.0569 data_time: 0.0022 memory: 1021 08/28 17:13:00 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:09 time: 0.0565 data_time: 0.0021 memory: 1021 08/28 17:13:01 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:09 time: 0.0433 data_time: 0.0021 memory: 1021 08/28 17:13:01 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:09 time: 0.0579 data_time: 0.0022 memory: 1021 08/28 17:13:01 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:09 time: 0.0588 data_time: 0.0022 memory: 1021 08/28 17:13:01 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:07 time: 0.0476 data_time: 0.0022 memory: 1021 08/28 17:13:02 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:07 time: 0.0474 data_time: 0.0023 memory: 1021 08/28 17:13:02 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:06 time: 0.0453 data_time: 0.0022 memory: 1021 08/28 17:13:02 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:06 time: 0.0465 data_time: 0.0022 memory: 1021 08/28 17:13:02 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:05 time: 0.0436 data_time: 0.0022 memory: 1021 08/28 17:13:03 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:05 time: 0.0414 data_time: 0.0022 memory: 1021 08/28 17:13:03 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:05 time: 0.0450 data_time: 0.0023 memory: 1021 08/28 17:13:03 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:05 time: 0.0459 data_time: 0.0023 memory: 1021 08/28 17:13:03 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:04 time: 0.0440 data_time: 0.0022 memory: 1021 08/28 17:13:03 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:04 time: 0.0443 data_time: 0.0024 memory: 1021 08/28 17:13:04 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:04 time: 0.0444 data_time: 0.0024 memory: 1021 08/28 17:13:04 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:04 time: 0.0465 data_time: 0.0024 memory: 1021 08/28 17:13:04 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:04 time: 0.0503 data_time: 0.0026 memory: 1021 08/28 17:13:04 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:04 time: 0.0478 data_time: 0.0025 memory: 1021 08/28 17:13:05 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:03 time: 0.0422 data_time: 0.0022 memory: 1021 08/28 17:13:05 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:03 time: 0.0429 data_time: 0.0021 memory: 1021 08/28 17:13:05 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:04 time: 0.0632 data_time: 0.0027 memory: 1021 08/28 17:13:06 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:04 time: 0.0714 data_time: 0.0053 memory: 1021 08/28 17:13:06 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:03 time: 0.0539 data_time: 0.0047 memory: 1021 08/28 17:13:06 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:03 time: 0.0480 data_time: 0.0022 memory: 1021 08/28 17:13:06 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:02 time: 0.0483 data_time: 0.0023 memory: 1021 08/28 17:13:06 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:02 time: 0.0466 data_time: 0.0022 memory: 1021 08/28 17:13:07 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:01 time: 0.0441 data_time: 0.0023 memory: 1021 08/28 17:13:07 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:01 time: 0.0428 data_time: 0.0022 memory: 1021 08/28 17:13:07 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:01 time: 0.0437 data_time: 0.0021 memory: 1021 08/28 17:13:07 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:01 time: 0.0437 data_time: 0.0021 memory: 1021 08/28 17:13:08 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:00 time: 0.0442 data_time: 0.0022 memory: 1021 08/28 17:13:08 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:00 time: 0.0451 data_time: 0.0022 memory: 1021 08/28 17:13:08 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:00 time: 0.0460 data_time: 0.0021 memory: 1021 08/28 17:13:08 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:00 time: 0.0466 data_time: 0.0021 memory: 1021 08/28 17:13:08 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.0440 data_time: 0.0020 memory: 1021 08/28 17:13:08 - mmengine - INFO - Evaluating hmean-iou... 08/28 17:13:09 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7987, precision: 0.6898, hmean: 0.7403 08/28 17:13:09 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7987, precision: 0.7814, hmean: 0.7900 08/28 17:13:09 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7959, precision: 0.8332, hmean: 0.8141 08/28 17:13:09 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7814, precision: 0.8749, hmean: 0.8255 08/28 17:13:09 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7390, precision: 0.9072, hmean: 0.8145 08/28 17:13:09 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.4839, precision: 0.9401, hmean: 0.6389 08/28 17:13:09 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0246, precision: 0.9623, hmean: 0.0479 08/28 17:13:09 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.8749 icdar/recall: 0.7814 icdar/hmean: 0.8255 08/28 17:13:16 - mmengine - INFO - Epoch(train) [201][5/63] lr: 5.9398e-03 eta: 0:00:00 time: 0.9925 data_time: 0.2183 memory: 14974 loss_prob: 0.9171 loss_thr: 0.5442 loss_db: 0.1541 loss: 1.6155 08/28 17:13:20 - mmengine - INFO - Epoch(train) [201][10/63] lr: 5.9398e-03 eta: 16:10:12 time: 1.0687 data_time: 0.1780 memory: 14974 loss_prob: 0.9347 loss_thr: 0.5435 loss_db: 0.1557 loss: 1.6339 08/28 17:13:25 - mmengine - INFO - Epoch(train) [201][15/63] lr: 5.9398e-03 eta: 16:10:12 time: 0.9335 data_time: 0.1277 memory: 14974 loss_prob: 0.8791 loss_thr: 0.5302 loss_db: 0.1451 loss: 1.5544 08/28 17:13:29 - mmengine - INFO - Epoch(train) [201][20/63] lr: 5.9398e-03 eta: 16:10:01 time: 0.9024 data_time: 0.1420 memory: 14974 loss_prob: 0.8610 loss_thr: 0.5221 loss_db: 0.1425 loss: 1.5257 08/28 17:13:34 - mmengine - INFO - Epoch(train) [201][25/63] lr: 5.9398e-03 eta: 16:10:01 time: 0.9387 data_time: 0.0850 memory: 14974 loss_prob: 0.8841 loss_thr: 0.5166 loss_db: 0.1474 loss: 1.5480 08/28 17:13:39 - mmengine - INFO - Epoch(train) [201][30/63] lr: 5.9398e-03 eta: 16:09:55 time: 0.9760 data_time: 0.1000 memory: 14974 loss_prob: 0.9741 loss_thr: 0.5000 loss_db: 0.1649 loss: 1.6391 08/28 17:13:44 - mmengine - INFO - Epoch(train) [201][35/63] lr: 5.9398e-03 eta: 16:09:55 time: 0.9228 data_time: 0.0939 memory: 14974 loss_prob: 0.9566 loss_thr: 0.5050 loss_db: 0.1601 loss: 1.6217 08/28 17:13:47 - mmengine - INFO - Epoch(train) [201][40/63] lr: 5.9398e-03 eta: 16:09:41 time: 0.8417 data_time: 0.0443 memory: 14974 loss_prob: 0.8988 loss_thr: 0.5200 loss_db: 0.1475 loss: 1.5663 08/28 17:13:52 - mmengine - INFO - Epoch(train) [201][45/63] lr: 5.9398e-03 eta: 16:09:41 time: 0.8309 data_time: 0.0952 memory: 14974 loss_prob: 0.9828 loss_thr: 0.5293 loss_db: 0.1656 loss: 1.6778 08/28 17:13:57 - mmengine - INFO - Epoch(train) [201][50/63] lr: 5.9398e-03 eta: 16:09:32 time: 0.9186 data_time: 0.1112 memory: 14974 loss_prob: 0.9488 loss_thr: 0.5471 loss_db: 0.1571 loss: 1.6530 08/28 17:14:01 - mmengine - INFO - Epoch(train) [201][55/63] lr: 5.9398e-03 eta: 16:09:32 time: 0.8900 data_time: 0.0566 memory: 14974 loss_prob: 0.8685 loss_thr: 0.5505 loss_db: 0.1424 loss: 1.5614 08/28 17:14:05 - mmengine - INFO - Epoch(train) [201][60/63] lr: 5.9398e-03 eta: 16:09:18 time: 0.8262 data_time: 0.0813 memory: 14974 loss_prob: 0.9168 loss_thr: 0.5542 loss_db: 0.1531 loss: 1.6241 08/28 17:14:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:14:12 - mmengine - INFO - Epoch(train) [202][5/63] lr: 5.9344e-03 eta: 16:09:18 time: 0.8826 data_time: 0.1806 memory: 14974 loss_prob: 1.0372 loss_thr: 0.5722 loss_db: 0.1715 loss: 1.7809 08/28 17:14:17 - mmengine - INFO - Epoch(train) [202][10/63] lr: 5.9344e-03 eta: 16:08:56 time: 0.9996 data_time: 0.2721 memory: 14974 loss_prob: 1.0574 loss_thr: 0.5722 loss_db: 0.1704 loss: 1.8000 08/28 17:14:21 - mmengine - INFO - Epoch(train) [202][15/63] lr: 5.9344e-03 eta: 16:08:56 time: 0.8529 data_time: 0.1375 memory: 14974 loss_prob: 1.2522 loss_thr: 0.6174 loss_db: 0.1987 loss: 2.0682 08/28 17:14:25 - mmengine - INFO - Epoch(train) [202][20/63] lr: 5.9344e-03 eta: 16:08:40 time: 0.7852 data_time: 0.0664 memory: 14974 loss_prob: 1.2294 loss_thr: 0.5962 loss_db: 0.1995 loss: 2.0251 08/28 17:14:30 - mmengine - INFO - Epoch(train) [202][25/63] lr: 5.9344e-03 eta: 16:08:40 time: 0.9035 data_time: 0.1158 memory: 14974 loss_prob: 1.1558 loss_thr: 0.5622 loss_db: 0.1840 loss: 1.9020 08/28 17:14:35 - mmengine - INFO - Epoch(train) [202][30/63] lr: 5.9344e-03 eta: 16:08:33 time: 0.9759 data_time: 0.1166 memory: 14974 loss_prob: 1.3060 loss_thr: 0.5985 loss_db: 0.2071 loss: 2.1117 08/28 17:14:39 - mmengine - INFO - Epoch(train) [202][35/63] lr: 5.9344e-03 eta: 16:08:33 time: 0.9013 data_time: 0.0687 memory: 14974 loss_prob: 1.1139 loss_thr: 0.5727 loss_db: 0.1857 loss: 1.8723 08/28 17:14:43 - mmengine - INFO - Epoch(train) [202][40/63] lr: 5.9344e-03 eta: 16:08:22 time: 0.8821 data_time: 0.1190 memory: 14974 loss_prob: 0.8376 loss_thr: 0.5134 loss_db: 0.1430 loss: 1.4941 08/28 17:14:48 - mmengine - INFO - Epoch(train) [202][45/63] lr: 5.9344e-03 eta: 16:08:22 time: 0.9164 data_time: 0.1326 memory: 14974 loss_prob: 0.8682 loss_thr: 0.5168 loss_db: 0.1436 loss: 1.5287 08/28 17:14:54 - mmengine - INFO - Epoch(train) [202][50/63] lr: 5.9344e-03 eta: 16:08:18 time: 1.0365 data_time: 0.0763 memory: 14974 loss_prob: 0.9340 loss_thr: 0.5372 loss_db: 0.1562 loss: 1.6274 08/28 17:14:58 - mmengine - INFO - Epoch(train) [202][55/63] lr: 5.9344e-03 eta: 16:08:18 time: 1.0114 data_time: 0.0953 memory: 14974 loss_prob: 0.9594 loss_thr: 0.5321 loss_db: 0.1629 loss: 1.6544 08/28 17:15:02 - mmengine - INFO - Epoch(train) [202][60/63] lr: 5.9344e-03 eta: 16:08:05 time: 0.8425 data_time: 0.0919 memory: 14974 loss_prob: 0.9762 loss_thr: 0.5325 loss_db: 0.1621 loss: 1.6708 08/28 17:15:05 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:15:10 - mmengine - INFO - Epoch(train) [203][5/63] lr: 5.9291e-03 eta: 16:08:05 time: 0.9118 data_time: 0.1691 memory: 14974 loss_prob: 1.2294 loss_thr: 0.5773 loss_db: 0.1996 loss: 2.0063 08/28 17:15:14 - mmengine - INFO - Epoch(train) [203][10/63] lr: 5.9291e-03 eta: 16:07:41 time: 0.9614 data_time: 0.2376 memory: 14974 loss_prob: 1.1710 loss_thr: 0.5691 loss_db: 0.1910 loss: 1.9311 08/28 17:15:18 - mmengine - INFO - Epoch(train) [203][15/63] lr: 5.9291e-03 eta: 16:07:41 time: 0.8555 data_time: 0.1074 memory: 14974 loss_prob: 1.1292 loss_thr: 0.5880 loss_db: 0.1779 loss: 1.8951 08/28 17:15:22 - mmengine - INFO - Epoch(train) [203][20/63] lr: 5.9291e-03 eta: 16:07:25 time: 0.7800 data_time: 0.0438 memory: 14974 loss_prob: 1.1610 loss_thr: 0.6009 loss_db: 0.1879 loss: 1.9498 08/28 17:15:26 - mmengine - INFO - Epoch(train) [203][25/63] lr: 5.9291e-03 eta: 16:07:25 time: 0.7911 data_time: 0.0682 memory: 14974 loss_prob: 1.1610 loss_thr: 0.5748 loss_db: 0.1892 loss: 1.9250 08/28 17:15:30 - mmengine - INFO - Epoch(train) [203][30/63] lr: 5.9291e-03 eta: 16:07:11 time: 0.8296 data_time: 0.0665 memory: 14974 loss_prob: 1.0977 loss_thr: 0.5806 loss_db: 0.1789 loss: 1.8572 08/28 17:15:34 - mmengine - INFO - Epoch(train) [203][35/63] lr: 5.9291e-03 eta: 16:07:11 time: 0.7943 data_time: 0.0537 memory: 14974 loss_prob: 1.0480 loss_thr: 0.5767 loss_db: 0.1738 loss: 1.7985 08/28 17:15:39 - mmengine - INFO - Epoch(train) [203][40/63] lr: 5.9291e-03 eta: 16:06:57 time: 0.8317 data_time: 0.1163 memory: 14974 loss_prob: 1.0542 loss_thr: 0.5656 loss_db: 0.1727 loss: 1.7925 08/28 17:15:43 - mmengine - INFO - Epoch(train) [203][45/63] lr: 5.9291e-03 eta: 16:06:57 time: 0.8559 data_time: 0.1255 memory: 14974 loss_prob: 0.9457 loss_thr: 0.5510 loss_db: 0.1564 loss: 1.6530 08/28 17:15:47 - mmengine - INFO - Epoch(train) [203][50/63] lr: 5.9291e-03 eta: 16:06:45 time: 0.8699 data_time: 0.0790 memory: 14974 loss_prob: 0.9190 loss_thr: 0.5363 loss_db: 0.1512 loss: 1.6066 08/28 17:15:52 - mmengine - INFO - Epoch(train) [203][55/63] lr: 5.9291e-03 eta: 16:06:45 time: 0.9529 data_time: 0.1234 memory: 14974 loss_prob: 1.0135 loss_thr: 0.5401 loss_db: 0.1670 loss: 1.7206 08/28 17:15:57 - mmengine - INFO - Epoch(train) [203][60/63] lr: 5.9291e-03 eta: 16:06:36 time: 0.9243 data_time: 0.1251 memory: 14974 loss_prob: 0.9719 loss_thr: 0.5301 loss_db: 0.1600 loss: 1.6620 08/28 17:15:59 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:16:04 - mmengine - INFO - Epoch(train) [204][5/63] lr: 5.9237e-03 eta: 16:06:36 time: 0.8905 data_time: 0.1789 memory: 14974 loss_prob: 0.9202 loss_thr: 0.5017 loss_db: 0.1564 loss: 1.5783 08/28 17:16:09 - mmengine - INFO - Epoch(train) [204][10/63] lr: 5.9237e-03 eta: 16:06:16 time: 1.0368 data_time: 0.2446 memory: 14974 loss_prob: 0.9310 loss_thr: 0.5257 loss_db: 0.1615 loss: 1.6181 08/28 17:16:14 - mmengine - INFO - Epoch(train) [204][15/63] lr: 5.9237e-03 eta: 16:06:16 time: 1.0096 data_time: 0.1320 memory: 14974 loss_prob: 0.9622 loss_thr: 0.5450 loss_db: 0.1612 loss: 1.6684 08/28 17:16:19 - mmengine - INFO - Epoch(train) [204][20/63] lr: 5.9237e-03 eta: 16:06:08 time: 0.9534 data_time: 0.0941 memory: 14974 loss_prob: 0.9976 loss_thr: 0.5589 loss_db: 0.1633 loss: 1.7198 08/28 17:16:23 - mmengine - INFO - Epoch(train) [204][25/63] lr: 5.9237e-03 eta: 16:06:08 time: 0.9043 data_time: 0.0862 memory: 14974 loss_prob: 0.9643 loss_thr: 0.5564 loss_db: 0.1561 loss: 1.6768 08/28 17:16:27 - mmengine - INFO - Epoch(train) [204][30/63] lr: 5.9237e-03 eta: 16:05:55 time: 0.8400 data_time: 0.0542 memory: 14974 loss_prob: 1.0030 loss_thr: 0.5618 loss_db: 0.1616 loss: 1.7263 08/28 17:16:32 - mmengine - INFO - Epoch(train) [204][35/63] lr: 5.9237e-03 eta: 16:05:55 time: 0.8408 data_time: 0.0940 memory: 14974 loss_prob: 0.9984 loss_thr: 0.5562 loss_db: 0.1626 loss: 1.7172 08/28 17:16:36 - mmengine - INFO - Epoch(train) [204][40/63] lr: 5.9237e-03 eta: 16:05:43 time: 0.8596 data_time: 0.1126 memory: 14974 loss_prob: 0.9278 loss_thr: 0.5406 loss_db: 0.1548 loss: 1.6232 08/28 17:16:40 - mmengine - INFO - Epoch(train) [204][45/63] lr: 5.9237e-03 eta: 16:05:43 time: 0.7985 data_time: 0.0665 memory: 14974 loss_prob: 0.9418 loss_thr: 0.5428 loss_db: 0.1567 loss: 1.6413 08/28 17:16:45 - mmengine - INFO - Epoch(train) [204][50/63] lr: 5.9237e-03 eta: 16:05:32 time: 0.9043 data_time: 0.0564 memory: 14974 loss_prob: 0.9369 loss_thr: 0.5341 loss_db: 0.1525 loss: 1.6235 08/28 17:16:49 - mmengine - INFO - Epoch(train) [204][55/63] lr: 5.9237e-03 eta: 16:05:32 time: 0.9337 data_time: 0.0888 memory: 14974 loss_prob: 0.9450 loss_thr: 0.5457 loss_db: 0.1559 loss: 1.6467 08/28 17:16:53 - mmengine - INFO - Epoch(train) [204][60/63] lr: 5.9237e-03 eta: 16:05:18 time: 0.8228 data_time: 0.0912 memory: 14974 loss_prob: 0.9783 loss_thr: 0.5698 loss_db: 0.1628 loss: 1.7109 08/28 17:16:55 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:17:01 - mmengine - INFO - Epoch(train) [205][5/63] lr: 5.9184e-03 eta: 16:05:18 time: 0.9250 data_time: 0.2211 memory: 14974 loss_prob: 0.9706 loss_thr: 0.5653 loss_db: 0.1580 loss: 1.6939 08/28 17:17:06 - mmengine - INFO - Epoch(train) [205][10/63] lr: 5.9184e-03 eta: 16:05:01 time: 1.1010 data_time: 0.2298 memory: 14974 loss_prob: 0.9394 loss_thr: 0.5539 loss_db: 0.1591 loss: 1.6523 08/28 17:17:12 - mmengine - INFO - Epoch(train) [205][15/63] lr: 5.9184e-03 eta: 16:05:01 time: 1.0903 data_time: 0.1510 memory: 14974 loss_prob: 0.9033 loss_thr: 0.5257 loss_db: 0.1497 loss: 1.5787 08/28 17:17:16 - mmengine - INFO - Epoch(train) [205][20/63] lr: 5.9184e-03 eta: 16:04:53 time: 0.9468 data_time: 0.1434 memory: 14974 loss_prob: 0.8687 loss_thr: 0.5112 loss_db: 0.1451 loss: 1.5249 08/28 17:17:21 - mmengine - INFO - Epoch(train) [205][25/63] lr: 5.9184e-03 eta: 16:04:53 time: 0.9708 data_time: 0.1059 memory: 14974 loss_prob: 0.9016 loss_thr: 0.5040 loss_db: 0.1507 loss: 1.5563 08/28 17:17:27 - mmengine - INFO - Epoch(train) [205][30/63] lr: 5.9184e-03 eta: 16:04:51 time: 1.0676 data_time: 0.1019 memory: 14974 loss_prob: 0.9190 loss_thr: 0.5189 loss_db: 0.1484 loss: 1.5863 08/28 17:17:31 - mmengine - INFO - Epoch(train) [205][35/63] lr: 5.9184e-03 eta: 16:04:51 time: 0.9090 data_time: 0.0904 memory: 14974 loss_prob: 0.8227 loss_thr: 0.5047 loss_db: 0.1323 loss: 1.4596 08/28 17:17:35 - mmengine - INFO - Epoch(train) [205][40/63] lr: 5.9184e-03 eta: 16:04:40 time: 0.8759 data_time: 0.0590 memory: 14974 loss_prob: 0.8663 loss_thr: 0.5139 loss_db: 0.1436 loss: 1.5239 08/28 17:17:40 - mmengine - INFO - Epoch(train) [205][45/63] lr: 5.9184e-03 eta: 16:04:40 time: 0.9248 data_time: 0.0909 memory: 14974 loss_prob: 0.9430 loss_thr: 0.5491 loss_db: 0.1561 loss: 1.6482 08/28 17:17:44 - mmengine - INFO - Epoch(train) [205][50/63] lr: 5.9184e-03 eta: 16:04:27 time: 0.8485 data_time: 0.1149 memory: 14974 loss_prob: 0.8969 loss_thr: 0.5279 loss_db: 0.1482 loss: 1.5730 08/28 17:17:49 - mmengine - INFO - Epoch(train) [205][55/63] lr: 5.9184e-03 eta: 16:04:27 time: 0.9326 data_time: 0.0783 memory: 14974 loss_prob: 0.9905 loss_thr: 0.5118 loss_db: 0.1550 loss: 1.6574 08/28 17:17:53 - mmengine - INFO - Epoch(train) [205][60/63] lr: 5.9184e-03 eta: 16:04:17 time: 0.9205 data_time: 0.0680 memory: 14974 loss_prob: 0.9446 loss_thr: 0.5105 loss_db: 0.1443 loss: 1.5994 08/28 17:17:55 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:18:00 - mmengine - INFO - Epoch(train) [206][5/63] lr: 5.9130e-03 eta: 16:04:17 time: 0.8899 data_time: 0.1827 memory: 14974 loss_prob: 1.0139 loss_thr: 0.5548 loss_db: 0.1697 loss: 1.7384 08/28 17:18:05 - mmengine - INFO - Epoch(train) [206][10/63] lr: 5.9130e-03 eta: 16:03:54 time: 0.9623 data_time: 0.2303 memory: 14974 loss_prob: 1.0948 loss_thr: 0.5651 loss_db: 0.1865 loss: 1.8464 08/28 17:18:09 - mmengine - INFO - Epoch(train) [206][15/63] lr: 5.9130e-03 eta: 16:03:54 time: 0.8954 data_time: 0.1361 memory: 14974 loss_prob: 1.0039 loss_thr: 0.5245 loss_db: 0.1687 loss: 1.6971 08/28 17:18:13 - mmengine - INFO - Epoch(train) [206][20/63] lr: 5.9130e-03 eta: 16:03:42 time: 0.8694 data_time: 0.1030 memory: 14974 loss_prob: 0.9535 loss_thr: 0.5128 loss_db: 0.1552 loss: 1.6215 08/28 17:18:19 - mmengine - INFO - Epoch(train) [206][25/63] lr: 5.9130e-03 eta: 16:03:42 time: 0.9323 data_time: 0.1203 memory: 14974 loss_prob: 1.1408 loss_thr: 0.5548 loss_db: 0.1888 loss: 1.8843 08/28 17:18:24 - mmengine - INFO - Epoch(train) [206][30/63] lr: 5.9130e-03 eta: 16:03:38 time: 1.0254 data_time: 0.1268 memory: 14974 loss_prob: 1.1748 loss_thr: 0.5759 loss_db: 0.1978 loss: 1.9485 08/28 17:18:29 - mmengine - INFO - Epoch(train) [206][35/63] lr: 5.9130e-03 eta: 16:03:38 time: 0.9784 data_time: 0.1307 memory: 14974 loss_prob: 0.9927 loss_thr: 0.5559 loss_db: 0.1647 loss: 1.7133 08/28 17:18:33 - mmengine - INFO - Epoch(train) [206][40/63] lr: 5.9130e-03 eta: 16:03:27 time: 0.8783 data_time: 0.1141 memory: 14974 loss_prob: 1.0757 loss_thr: 0.5417 loss_db: 0.1785 loss: 1.7959 08/28 17:18:38 - mmengine - INFO - Epoch(train) [206][45/63] lr: 5.9130e-03 eta: 16:03:27 time: 0.9389 data_time: 0.0813 memory: 14974 loss_prob: 1.0391 loss_thr: 0.5391 loss_db: 0.1704 loss: 1.7486 08/28 17:18:43 - mmengine - INFO - Epoch(train) [206][50/63] lr: 5.9130e-03 eta: 16:03:23 time: 1.0332 data_time: 0.1067 memory: 14974 loss_prob: 1.0697 loss_thr: 0.5573 loss_db: 0.1711 loss: 1.7981 08/28 17:18:48 - mmengine - INFO - Epoch(train) [206][55/63] lr: 5.9130e-03 eta: 16:03:23 time: 1.0152 data_time: 0.0955 memory: 14974 loss_prob: 1.0660 loss_thr: 0.5533 loss_db: 0.1749 loss: 1.7941 08/28 17:18:52 - mmengine - INFO - Epoch(train) [206][60/63] lr: 5.9130e-03 eta: 16:03:14 time: 0.9257 data_time: 0.0782 memory: 14974 loss_prob: 0.9080 loss_thr: 0.5234 loss_db: 0.1500 loss: 1.5814 08/28 17:18:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:18:59 - mmengine - INFO - Epoch(train) [207][5/63] lr: 5.9077e-03 eta: 16:03:14 time: 0.8772 data_time: 0.1837 memory: 14974 loss_prob: 1.0390 loss_thr: 0.5389 loss_db: 0.1672 loss: 1.7451 08/28 17:19:04 - mmengine - INFO - Epoch(train) [207][10/63] lr: 5.9077e-03 eta: 16:02:50 time: 0.9679 data_time: 0.2293 memory: 14974 loss_prob: 0.9148 loss_thr: 0.5343 loss_db: 0.1465 loss: 1.5957 08/28 17:19:09 - mmengine - INFO - Epoch(train) [207][15/63] lr: 5.9077e-03 eta: 16:02:50 time: 0.9291 data_time: 0.0942 memory: 14974 loss_prob: 0.9027 loss_thr: 0.5292 loss_db: 0.1507 loss: 1.5827 08/28 17:19:13 - mmengine - INFO - Epoch(train) [207][20/63] lr: 5.9077e-03 eta: 16:02:38 time: 0.8641 data_time: 0.0414 memory: 14974 loss_prob: 1.1001 loss_thr: 0.5525 loss_db: 0.1783 loss: 1.8309 08/28 17:19:14 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:19:17 - mmengine - INFO - Epoch(train) [207][25/63] lr: 5.9077e-03 eta: 16:02:38 time: 0.7910 data_time: 0.0701 memory: 14974 loss_prob: 1.0030 loss_thr: 0.5248 loss_db: 0.1587 loss: 1.6864 08/28 17:19:21 - mmengine - INFO - Epoch(train) [207][30/63] lr: 5.9077e-03 eta: 16:02:23 time: 0.7953 data_time: 0.0673 memory: 14974 loss_prob: 0.8769 loss_thr: 0.5047 loss_db: 0.1457 loss: 1.5273 08/28 17:19:24 - mmengine - INFO - Epoch(train) [207][35/63] lr: 5.9077e-03 eta: 16:02:23 time: 0.7859 data_time: 0.0519 memory: 14974 loss_prob: 0.9796 loss_thr: 0.5240 loss_db: 0.1645 loss: 1.6680 08/28 17:19:29 - mmengine - INFO - Epoch(train) [207][40/63] lr: 5.9077e-03 eta: 16:02:11 time: 0.8576 data_time: 0.1227 memory: 14974 loss_prob: 1.0100 loss_thr: 0.5513 loss_db: 0.1653 loss: 1.7266 08/28 17:19:33 - mmengine - INFO - Epoch(train) [207][45/63] lr: 5.9077e-03 eta: 16:02:11 time: 0.8540 data_time: 0.1208 memory: 14974 loss_prob: 1.0177 loss_thr: 0.5609 loss_db: 0.1620 loss: 1.7406 08/28 17:19:38 - mmengine - INFO - Epoch(train) [207][50/63] lr: 5.9077e-03 eta: 16:01:58 time: 0.8532 data_time: 0.0716 memory: 14974 loss_prob: 0.9915 loss_thr: 0.5333 loss_db: 0.1567 loss: 1.6815 08/28 17:19:43 - mmengine - INFO - Epoch(train) [207][55/63] lr: 5.9077e-03 eta: 16:01:58 time: 1.0234 data_time: 0.1305 memory: 14974 loss_prob: 0.9666 loss_thr: 0.5312 loss_db: 0.1572 loss: 1.6550 08/28 17:19:47 - mmengine - INFO - Epoch(train) [207][60/63] lr: 5.9077e-03 eta: 16:01:51 time: 0.9714 data_time: 0.1335 memory: 14974 loss_prob: 0.8755 loss_thr: 0.5298 loss_db: 0.1481 loss: 1.5534 08/28 17:19:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:19:55 - mmengine - INFO - Epoch(train) [208][5/63] lr: 5.9023e-03 eta: 16:01:51 time: 0.9134 data_time: 0.2099 memory: 14974 loss_prob: 0.9942 loss_thr: 0.5211 loss_db: 0.1654 loss: 1.6806 08/28 17:20:01 - mmengine - INFO - Epoch(train) [208][10/63] lr: 5.9023e-03 eta: 16:01:35 time: 1.1139 data_time: 0.2551 memory: 14974 loss_prob: 0.9989 loss_thr: 0.5089 loss_db: 0.1604 loss: 1.6683 08/28 17:20:04 - mmengine - INFO - Epoch(train) [208][15/63] lr: 5.9023e-03 eta: 16:01:35 time: 0.9363 data_time: 0.1037 memory: 14974 loss_prob: 1.0644 loss_thr: 0.5225 loss_db: 0.1748 loss: 1.7617 08/28 17:20:09 - mmengine - INFO - Epoch(train) [208][20/63] lr: 5.9023e-03 eta: 16:01:22 time: 0.8459 data_time: 0.0581 memory: 14974 loss_prob: 1.1921 loss_thr: 0.5743 loss_db: 0.1986 loss: 1.9650 08/28 17:20:13 - mmengine - INFO - Epoch(train) [208][25/63] lr: 5.9023e-03 eta: 16:01:22 time: 0.9065 data_time: 0.0861 memory: 14974 loss_prob: 1.1456 loss_thr: 0.5771 loss_db: 0.1829 loss: 1.9056 08/28 17:20:17 - mmengine - INFO - Epoch(train) [208][30/63] lr: 5.9023e-03 eta: 16:01:08 time: 0.8246 data_time: 0.0783 memory: 14974 loss_prob: 1.1916 loss_thr: 0.5831 loss_db: 0.1906 loss: 1.9654 08/28 17:20:21 - mmengine - INFO - Epoch(train) [208][35/63] lr: 5.9023e-03 eta: 16:01:08 time: 0.7652 data_time: 0.0479 memory: 14974 loss_prob: 1.2430 loss_thr: 0.5941 loss_db: 0.2080 loss: 2.0452 08/28 17:20:25 - mmengine - INFO - Epoch(train) [208][40/63] lr: 5.9023e-03 eta: 16:00:54 time: 0.8243 data_time: 0.0952 memory: 14974 loss_prob: 1.1503 loss_thr: 0.5655 loss_db: 0.1848 loss: 1.9006 08/28 17:20:30 - mmengine - INFO - Epoch(train) [208][45/63] lr: 5.9023e-03 eta: 16:00:54 time: 0.9126 data_time: 0.1017 memory: 14974 loss_prob: 1.0553 loss_thr: 0.5483 loss_db: 0.1700 loss: 1.7736 08/28 17:20:34 - mmengine - INFO - Epoch(train) [208][50/63] lr: 5.9023e-03 eta: 16:00:43 time: 0.8663 data_time: 0.0587 memory: 14974 loss_prob: 0.9980 loss_thr: 0.5218 loss_db: 0.1693 loss: 1.6891 08/28 17:20:39 - mmengine - INFO - Epoch(train) [208][55/63] lr: 5.9023e-03 eta: 16:00:43 time: 0.8381 data_time: 0.1075 memory: 14974 loss_prob: 1.0170 loss_thr: 0.5211 loss_db: 0.1644 loss: 1.7025 08/28 17:20:43 - mmengine - INFO - Epoch(train) [208][60/63] lr: 5.9023e-03 eta: 16:00:30 time: 0.8506 data_time: 0.1226 memory: 14974 loss_prob: 1.0252 loss_thr: 0.5487 loss_db: 0.1632 loss: 1.7371 08/28 17:20:45 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:20:50 - mmengine - INFO - Epoch(train) [209][5/63] lr: 5.8970e-03 eta: 16:00:30 time: 0.8775 data_time: 0.1729 memory: 14974 loss_prob: 0.8950 loss_thr: 0.5079 loss_db: 0.1488 loss: 1.5517 08/28 17:20:57 - mmengine - INFO - Epoch(train) [209][10/63] lr: 5.8970e-03 eta: 16:00:19 time: 1.2161 data_time: 0.2575 memory: 14974 loss_prob: 0.7753 loss_thr: 0.4781 loss_db: 0.1267 loss: 1.3801 08/28 17:21:01 - mmengine - INFO - Epoch(train) [209][15/63] lr: 5.8970e-03 eta: 16:00:19 time: 1.0635 data_time: 0.1331 memory: 14974 loss_prob: 0.8893 loss_thr: 0.5240 loss_db: 0.1462 loss: 1.5594 08/28 17:21:05 - mmengine - INFO - Epoch(train) [209][20/63] lr: 5.8970e-03 eta: 16:00:06 time: 0.8479 data_time: 0.1252 memory: 14974 loss_prob: 0.8971 loss_thr: 0.5207 loss_db: 0.1465 loss: 1.5643 08/28 17:21:10 - mmengine - INFO - Epoch(train) [209][25/63] lr: 5.8970e-03 eta: 16:00:06 time: 0.8930 data_time: 0.1332 memory: 14974 loss_prob: 0.8548 loss_thr: 0.5010 loss_db: 0.1431 loss: 1.4989 08/28 17:21:14 - mmengine - INFO - Epoch(train) [209][30/63] lr: 5.8970e-03 eta: 15:59:56 time: 0.9077 data_time: 0.0548 memory: 14974 loss_prob: 0.8918 loss_thr: 0.5174 loss_db: 0.1511 loss: 1.5603 08/28 17:21:19 - mmengine - INFO - Epoch(train) [209][35/63] lr: 5.8970e-03 eta: 15:59:56 time: 0.9372 data_time: 0.0958 memory: 14974 loss_prob: 0.9060 loss_thr: 0.5048 loss_db: 0.1454 loss: 1.5562 08/28 17:21:23 - mmengine - INFO - Epoch(train) [209][40/63] lr: 5.8970e-03 eta: 15:59:45 time: 0.8865 data_time: 0.0922 memory: 14974 loss_prob: 0.8801 loss_thr: 0.4937 loss_db: 0.1404 loss: 1.5141 08/28 17:21:28 - mmengine - INFO - Epoch(train) [209][45/63] lr: 5.8970e-03 eta: 15:59:45 time: 0.8691 data_time: 0.0377 memory: 14974 loss_prob: 0.8330 loss_thr: 0.4940 loss_db: 0.1358 loss: 1.4628 08/28 17:21:32 - mmengine - INFO - Epoch(train) [209][50/63] lr: 5.8970e-03 eta: 15:59:35 time: 0.8952 data_time: 0.1095 memory: 14974 loss_prob: 0.8679 loss_thr: 0.5311 loss_db: 0.1442 loss: 1.5431 08/28 17:21:36 - mmengine - INFO - Epoch(train) [209][55/63] lr: 5.8970e-03 eta: 15:59:35 time: 0.8403 data_time: 0.1094 memory: 14974 loss_prob: 0.9773 loss_thr: 0.5813 loss_db: 0.1652 loss: 1.7239 08/28 17:21:40 - mmengine - INFO - Epoch(train) [209][60/63] lr: 5.8970e-03 eta: 15:59:20 time: 0.8139 data_time: 0.0585 memory: 14974 loss_prob: 1.1001 loss_thr: 0.5799 loss_db: 0.1805 loss: 1.8605 08/28 17:21:43 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:21:48 - mmengine - INFO - Epoch(train) [210][5/63] lr: 5.8916e-03 eta: 15:59:20 time: 0.8990 data_time: 0.2043 memory: 14974 loss_prob: 1.0597 loss_thr: 0.5670 loss_db: 0.1783 loss: 1.8050 08/28 17:21:52 - mmengine - INFO - Epoch(train) [210][10/63] lr: 5.8916e-03 eta: 15:58:55 time: 0.9105 data_time: 0.1963 memory: 14974 loss_prob: 0.9614 loss_thr: 0.4998 loss_db: 0.1583 loss: 1.6195 08/28 17:21:57 - mmengine - INFO - Epoch(train) [210][15/63] lr: 5.8916e-03 eta: 15:58:55 time: 0.8836 data_time: 0.1344 memory: 14974 loss_prob: 1.0081 loss_thr: 0.5218 loss_db: 0.1652 loss: 1.6952 08/28 17:22:01 - mmengine - INFO - Epoch(train) [210][20/63] lr: 5.8916e-03 eta: 15:58:44 time: 0.8845 data_time: 0.1386 memory: 14974 loss_prob: 0.9659 loss_thr: 0.5279 loss_db: 0.1590 loss: 1.6528 08/28 17:22:06 - mmengine - INFO - Epoch(train) [210][25/63] lr: 5.8916e-03 eta: 15:58:44 time: 0.8968 data_time: 0.0732 memory: 14974 loss_prob: 0.9052 loss_thr: 0.5169 loss_db: 0.1450 loss: 1.5671 08/28 17:22:11 - mmengine - INFO - Epoch(train) [210][30/63] lr: 5.8916e-03 eta: 15:58:39 time: 1.0260 data_time: 0.1249 memory: 14974 loss_prob: 0.9433 loss_thr: 0.5257 loss_db: 0.1539 loss: 1.6229 08/28 17:22:15 - mmengine - INFO - Epoch(train) [210][35/63] lr: 5.8916e-03 eta: 15:58:39 time: 0.9352 data_time: 0.1365 memory: 14974 loss_prob: 0.9752 loss_thr: 0.5393 loss_db: 0.1631 loss: 1.6776 08/28 17:22:19 - mmengine - INFO - Epoch(train) [210][40/63] lr: 5.8916e-03 eta: 15:58:26 time: 0.8399 data_time: 0.0671 memory: 14974 loss_prob: 0.9534 loss_thr: 0.5523 loss_db: 0.1586 loss: 1.6643 08/28 17:22:24 - mmengine - INFO - Epoch(train) [210][45/63] lr: 5.8916e-03 eta: 15:58:26 time: 0.9203 data_time: 0.1207 memory: 14974 loss_prob: 0.9844 loss_thr: 0.5471 loss_db: 0.1559 loss: 1.6874 08/28 17:22:29 - mmengine - INFO - Epoch(train) [210][50/63] lr: 5.8916e-03 eta: 15:58:19 time: 0.9537 data_time: 0.1206 memory: 14974 loss_prob: 0.9418 loss_thr: 0.5422 loss_db: 0.1467 loss: 1.6306 08/28 17:22:33 - mmengine - INFO - Epoch(train) [210][55/63] lr: 5.8916e-03 eta: 15:58:19 time: 0.9151 data_time: 0.0450 memory: 14974 loss_prob: 0.8331 loss_thr: 0.5179 loss_db: 0.1352 loss: 1.4862 08/28 17:22:39 - mmengine - INFO - Epoch(train) [210][60/63] lr: 5.8916e-03 eta: 15:58:12 time: 0.9723 data_time: 0.1195 memory: 14974 loss_prob: 0.9907 loss_thr: 0.5329 loss_db: 0.1642 loss: 1.6878 08/28 17:22:41 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:22:46 - mmengine - INFO - Epoch(train) [211][5/63] lr: 5.8862e-03 eta: 15:58:12 time: 0.9001 data_time: 0.1897 memory: 14974 loss_prob: 0.9006 loss_thr: 0.5218 loss_db: 0.1485 loss: 1.5709 08/28 17:22:50 - mmengine - INFO - Epoch(train) [211][10/63] lr: 5.8862e-03 eta: 15:57:48 time: 0.9447 data_time: 0.2312 memory: 14974 loss_prob: 0.9474 loss_thr: 0.5316 loss_db: 0.1525 loss: 1.6316 08/28 17:22:54 - mmengine - INFO - Epoch(train) [211][15/63] lr: 5.8862e-03 eta: 15:57:48 time: 0.8256 data_time: 0.1053 memory: 14974 loss_prob: 0.8729 loss_thr: 0.5153 loss_db: 0.1417 loss: 1.5299 08/28 17:22:59 - mmengine - INFO - Epoch(train) [211][20/63] lr: 5.8862e-03 eta: 15:57:35 time: 0.8465 data_time: 0.0697 memory: 14974 loss_prob: 0.8922 loss_thr: 0.5148 loss_db: 0.1473 loss: 1.5543 08/28 17:23:03 - mmengine - INFO - Epoch(train) [211][25/63] lr: 5.8862e-03 eta: 15:57:35 time: 0.8538 data_time: 0.0832 memory: 14974 loss_prob: 0.9362 loss_thr: 0.5176 loss_db: 0.1593 loss: 1.6131 08/28 17:23:07 - mmengine - INFO - Epoch(train) [211][30/63] lr: 5.8862e-03 eta: 15:57:20 time: 0.7926 data_time: 0.0695 memory: 14974 loss_prob: 0.8486 loss_thr: 0.4942 loss_db: 0.1433 loss: 1.4861 08/28 17:23:11 - mmengine - INFO - Epoch(train) [211][35/63] lr: 5.8862e-03 eta: 15:57:20 time: 0.7980 data_time: 0.0698 memory: 14974 loss_prob: 0.8622 loss_thr: 0.4751 loss_db: 0.1407 loss: 1.4780 08/28 17:23:15 - mmengine - INFO - Epoch(train) [211][40/63] lr: 5.8862e-03 eta: 15:57:08 time: 0.8569 data_time: 0.1316 memory: 14974 loss_prob: 0.9862 loss_thr: 0.5049 loss_db: 0.1646 loss: 1.6557 08/28 17:23:20 - mmengine - INFO - Epoch(train) [211][45/63] lr: 5.8862e-03 eta: 15:57:08 time: 0.8921 data_time: 0.1253 memory: 14974 loss_prob: 0.9945 loss_thr: 0.5346 loss_db: 0.1661 loss: 1.6951 08/28 17:23:24 - mmengine - INFO - Epoch(train) [211][50/63] lr: 5.8862e-03 eta: 15:56:55 time: 0.8538 data_time: 0.0765 memory: 14974 loss_prob: 0.9614 loss_thr: 0.5492 loss_db: 0.1596 loss: 1.6701 08/28 17:23:30 - mmengine - INFO - Epoch(train) [211][55/63] lr: 5.8862e-03 eta: 15:56:55 time: 0.9989 data_time: 0.1322 memory: 14974 loss_prob: 0.8836 loss_thr: 0.5207 loss_db: 0.1495 loss: 1.5538 08/28 17:23:34 - mmengine - INFO - Epoch(train) [211][60/63] lr: 5.8862e-03 eta: 15:56:49 time: 0.9798 data_time: 0.1265 memory: 14974 loss_prob: 0.9474 loss_thr: 0.5288 loss_db: 0.1560 loss: 1.6323 08/28 17:23:36 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:23:41 - mmengine - INFO - Epoch(train) [212][5/63] lr: 5.8809e-03 eta: 15:56:49 time: 0.9128 data_time: 0.1941 memory: 14974 loss_prob: 0.9048 loss_thr: 0.5253 loss_db: 0.1465 loss: 1.5767 08/28 17:23:47 - mmengine - INFO - Epoch(train) [212][10/63] lr: 5.8809e-03 eta: 15:56:32 time: 1.0937 data_time: 0.2189 memory: 14974 loss_prob: 0.8026 loss_thr: 0.4910 loss_db: 0.1353 loss: 1.4290 08/28 17:23:51 - mmengine - INFO - Epoch(train) [212][15/63] lr: 5.8809e-03 eta: 15:56:32 time: 0.9960 data_time: 0.0867 memory: 14974 loss_prob: 0.8019 loss_thr: 0.4906 loss_db: 0.1336 loss: 1.4261 08/28 17:23:55 - mmengine - INFO - Epoch(train) [212][20/63] lr: 5.8809e-03 eta: 15:56:18 time: 0.8218 data_time: 0.0490 memory: 14974 loss_prob: 0.8928 loss_thr: 0.5204 loss_db: 0.1464 loss: 1.5596 08/28 17:24:00 - mmengine - INFO - Epoch(train) [212][25/63] lr: 5.8809e-03 eta: 15:56:18 time: 0.9092 data_time: 0.0736 memory: 14974 loss_prob: 0.9518 loss_thr: 0.5417 loss_db: 0.1581 loss: 1.6515 08/28 17:24:04 - mmengine - INFO - Epoch(train) [212][30/63] lr: 5.8809e-03 eta: 15:56:10 time: 0.9438 data_time: 0.0854 memory: 14974 loss_prob: 0.8955 loss_thr: 0.5337 loss_db: 0.1508 loss: 1.5801 08/28 17:24:08 - mmengine - INFO - Epoch(train) [212][35/63] lr: 5.8809e-03 eta: 15:56:10 time: 0.8041 data_time: 0.0623 memory: 14974 loss_prob: 0.9285 loss_thr: 0.5374 loss_db: 0.1500 loss: 1.6159 08/28 17:24:13 - mmengine - INFO - Epoch(train) [212][40/63] lr: 5.8809e-03 eta: 15:55:56 time: 0.8209 data_time: 0.0938 memory: 14974 loss_prob: 0.9157 loss_thr: 0.5214 loss_db: 0.1472 loss: 1.5843 08/28 17:24:17 - mmengine - INFO - Epoch(train) [212][45/63] lr: 5.8809e-03 eta: 15:55:56 time: 0.8547 data_time: 0.0887 memory: 14974 loss_prob: 0.8329 loss_thr: 0.5079 loss_db: 0.1383 loss: 1.4790 08/28 17:24:21 - mmengine - INFO - Epoch(train) [212][50/63] lr: 5.8809e-03 eta: 15:55:42 time: 0.8161 data_time: 0.0411 memory: 14974 loss_prob: 0.8788 loss_thr: 0.5245 loss_db: 0.1438 loss: 1.5471 08/28 17:24:25 - mmengine - INFO - Epoch(train) [212][55/63] lr: 5.8809e-03 eta: 15:55:42 time: 0.8478 data_time: 0.1124 memory: 14974 loss_prob: 0.8766 loss_thr: 0.5310 loss_db: 0.1451 loss: 1.5527 08/28 17:24:29 - mmengine - INFO - Epoch(train) [212][60/63] lr: 5.8809e-03 eta: 15:55:30 time: 0.8586 data_time: 0.1280 memory: 14974 loss_prob: 0.9240 loss_thr: 0.5487 loss_db: 0.1504 loss: 1.6230 08/28 17:24:32 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:24:37 - mmengine - INFO - Epoch(train) [213][5/63] lr: 5.8755e-03 eta: 15:55:30 time: 0.9091 data_time: 0.1831 memory: 14974 loss_prob: 0.8521 loss_thr: 0.5032 loss_db: 0.1384 loss: 1.4937 08/28 17:24:42 - mmengine - INFO - Epoch(train) [213][10/63] lr: 5.8755e-03 eta: 15:55:12 time: 1.0710 data_time: 0.2343 memory: 14974 loss_prob: 0.8529 loss_thr: 0.5087 loss_db: 0.1437 loss: 1.5053 08/28 17:24:46 - mmengine - INFO - Epoch(train) [213][15/63] lr: 5.8755e-03 eta: 15:55:12 time: 0.9365 data_time: 0.1288 memory: 14974 loss_prob: 0.8824 loss_thr: 0.5150 loss_db: 0.1492 loss: 1.5466 08/28 17:24:51 - mmengine - INFO - Epoch(train) [213][20/63] lr: 5.8755e-03 eta: 15:54:58 time: 0.8278 data_time: 0.0704 memory: 14974 loss_prob: 0.9179 loss_thr: 0.5279 loss_db: 0.1500 loss: 1.5958 08/28 17:24:56 - mmengine - INFO - Epoch(train) [213][25/63] lr: 5.8755e-03 eta: 15:54:58 time: 0.9396 data_time: 0.1304 memory: 14974 loss_prob: 0.9202 loss_thr: 0.5345 loss_db: 0.1498 loss: 1.6045 08/28 17:25:01 - mmengine - INFO - Epoch(train) [213][30/63] lr: 5.8755e-03 eta: 15:54:56 time: 1.0711 data_time: 0.1318 memory: 14974 loss_prob: 0.8412 loss_thr: 0.5229 loss_db: 0.1391 loss: 1.5032 08/28 17:25:06 - mmengine - INFO - Epoch(train) [213][35/63] lr: 5.8755e-03 eta: 15:54:56 time: 0.9970 data_time: 0.1093 memory: 14974 loss_prob: 0.8444 loss_thr: 0.5226 loss_db: 0.1384 loss: 1.5054 08/28 17:25:11 - mmengine - INFO - Epoch(train) [213][40/63] lr: 5.8755e-03 eta: 15:54:49 time: 0.9560 data_time: 0.0904 memory: 14974 loss_prob: 1.0162 loss_thr: 0.5581 loss_db: 0.1643 loss: 1.7387 08/28 17:25:15 - mmengine - INFO - Epoch(train) [213][45/63] lr: 5.8755e-03 eta: 15:54:49 time: 0.9189 data_time: 0.0538 memory: 14974 loss_prob: 1.0361 loss_thr: 0.5732 loss_db: 0.1713 loss: 1.7806 08/28 17:25:19 - mmengine - INFO - Epoch(train) [213][50/63] lr: 5.8755e-03 eta: 15:54:35 time: 0.8297 data_time: 0.1123 memory: 14974 loss_prob: 0.9367 loss_thr: 0.5422 loss_db: 0.1572 loss: 1.6361 08/28 17:25:23 - mmengine - INFO - Epoch(train) [213][55/63] lr: 5.8755e-03 eta: 15:54:35 time: 0.8107 data_time: 0.1023 memory: 14974 loss_prob: 0.8720 loss_thr: 0.5169 loss_db: 0.1423 loss: 1.5312 08/28 17:25:28 - mmengine - INFO - Epoch(train) [213][60/63] lr: 5.8755e-03 eta: 15:54:24 time: 0.8777 data_time: 0.0588 memory: 14974 loss_prob: 0.8868 loss_thr: 0.5414 loss_db: 0.1446 loss: 1.5727 08/28 17:25:30 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:25:36 - mmengine - INFO - Epoch(train) [214][5/63] lr: 5.8702e-03 eta: 15:54:24 time: 1.0021 data_time: 0.2155 memory: 14974 loss_prob: 0.8931 loss_thr: 0.5230 loss_db: 0.1516 loss: 1.5678 08/28 17:25:40 - mmengine - INFO - Epoch(train) [214][10/63] lr: 5.8702e-03 eta: 15:53:59 time: 0.9261 data_time: 0.1997 memory: 14974 loss_prob: 0.8179 loss_thr: 0.4850 loss_db: 0.1350 loss: 1.4379 08/28 17:25:44 - mmengine - INFO - Epoch(train) [214][15/63] lr: 5.8702e-03 eta: 15:53:59 time: 0.8587 data_time: 0.1274 memory: 14974 loss_prob: 0.8176 loss_thr: 0.4982 loss_db: 0.1336 loss: 1.4493 08/28 17:25:49 - mmengine - INFO - Epoch(train) [214][20/63] lr: 5.8702e-03 eta: 15:53:51 time: 0.9442 data_time: 0.1215 memory: 14974 loss_prob: 0.8765 loss_thr: 0.4954 loss_db: 0.1488 loss: 1.5207 08/28 17:25:53 - mmengine - INFO - Epoch(train) [214][25/63] lr: 5.8702e-03 eta: 15:53:51 time: 0.9335 data_time: 0.0782 memory: 14974 loss_prob: 0.9285 loss_thr: 0.4914 loss_db: 0.1526 loss: 1.5725 08/28 17:25:59 - mmengine - INFO - Epoch(train) [214][30/63] lr: 5.8702e-03 eta: 15:53:46 time: 1.0093 data_time: 0.1352 memory: 14974 loss_prob: 0.8977 loss_thr: 0.5058 loss_db: 0.1428 loss: 1.5464 08/28 17:26:03 - mmengine - INFO - Epoch(train) [214][35/63] lr: 5.8702e-03 eta: 15:53:46 time: 0.9746 data_time: 0.1279 memory: 14974 loss_prob: 0.8901 loss_thr: 0.5307 loss_db: 0.1481 loss: 1.5689 08/28 17:26:08 - mmengine - INFO - Epoch(train) [214][40/63] lr: 5.8702e-03 eta: 15:53:35 time: 0.8798 data_time: 0.0702 memory: 14974 loss_prob: 0.9494 loss_thr: 0.5418 loss_db: 0.1577 loss: 1.6490 08/28 17:26:14 - mmengine - INFO - Epoch(train) [214][45/63] lr: 5.8702e-03 eta: 15:53:35 time: 1.0698 data_time: 0.1233 memory: 14974 loss_prob: 0.9968 loss_thr: 0.5479 loss_db: 0.1642 loss: 1.7089 08/28 17:26:18 - mmengine - INFO - Epoch(train) [214][50/63] lr: 5.8702e-03 eta: 15:53:32 time: 1.0494 data_time: 0.1197 memory: 14974 loss_prob: 0.9491 loss_thr: 0.5294 loss_db: 0.1610 loss: 1.6394 08/28 17:26:23 - mmengine - INFO - Epoch(train) [214][55/63] lr: 5.8702e-03 eta: 15:53:32 time: 0.8791 data_time: 0.0927 memory: 14974 loss_prob: 0.9506 loss_thr: 0.5167 loss_db: 0.1623 loss: 1.6295 08/28 17:26:27 - mmengine - INFO - Epoch(train) [214][60/63] lr: 5.8702e-03 eta: 15:53:20 time: 0.8602 data_time: 0.0867 memory: 14974 loss_prob: 1.0302 loss_thr: 0.5439 loss_db: 0.1700 loss: 1.7441 08/28 17:26:29 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:26:35 - mmengine - INFO - Epoch(train) [215][5/63] lr: 5.8648e-03 eta: 15:53:20 time: 0.8956 data_time: 0.1900 memory: 14974 loss_prob: 0.9137 loss_thr: 0.5161 loss_db: 0.1520 loss: 1.5818 08/28 17:26:39 - mmengine - INFO - Epoch(train) [215][10/63] lr: 5.8648e-03 eta: 15:52:58 time: 0.9843 data_time: 0.2413 memory: 14974 loss_prob: 0.8726 loss_thr: 0.5113 loss_db: 0.1451 loss: 1.5290 08/28 17:26:43 - mmengine - INFO - Epoch(train) [215][15/63] lr: 5.8648e-03 eta: 15:52:58 time: 0.8370 data_time: 0.1012 memory: 14974 loss_prob: 0.8383 loss_thr: 0.4945 loss_db: 0.1409 loss: 1.4737 08/28 17:26:48 - mmengine - INFO - Epoch(train) [215][20/63] lr: 5.8648e-03 eta: 15:52:45 time: 0.8430 data_time: 0.0425 memory: 14974 loss_prob: 0.8488 loss_thr: 0.4985 loss_db: 0.1370 loss: 1.4843 08/28 17:26:52 - mmengine - INFO - Epoch(train) [215][25/63] lr: 5.8648e-03 eta: 15:52:45 time: 0.8710 data_time: 0.0749 memory: 14974 loss_prob: 0.8389 loss_thr: 0.5223 loss_db: 0.1382 loss: 1.4994 08/28 17:26:56 - mmengine - INFO - Epoch(train) [215][30/63] lr: 5.8648e-03 eta: 15:52:31 time: 0.8193 data_time: 0.0814 memory: 14974 loss_prob: 0.7954 loss_thr: 0.5096 loss_db: 0.1347 loss: 1.4398 08/28 17:27:00 - mmengine - INFO - Epoch(train) [215][35/63] lr: 5.8648e-03 eta: 15:52:31 time: 0.8099 data_time: 0.0624 memory: 14974 loss_prob: 0.8137 loss_thr: 0.4936 loss_db: 0.1374 loss: 1.4447 08/28 17:27:04 - mmengine - INFO - Epoch(train) [215][40/63] lr: 5.8648e-03 eta: 15:52:20 time: 0.8747 data_time: 0.1273 memory: 14974 loss_prob: 0.8083 loss_thr: 0.4871 loss_db: 0.1349 loss: 1.4302 08/28 17:27:10 - mmengine - INFO - Epoch(train) [215][45/63] lr: 5.8648e-03 eta: 15:52:20 time: 0.9970 data_time: 0.1322 memory: 14974 loss_prob: 0.8254 loss_thr: 0.5015 loss_db: 0.1354 loss: 1.4623 08/28 17:27:14 - mmengine - INFO - Epoch(train) [215][50/63] lr: 5.8648e-03 eta: 15:52:13 time: 0.9751 data_time: 0.0697 memory: 14974 loss_prob: 0.8293 loss_thr: 0.5037 loss_db: 0.1373 loss: 1.4704 08/28 17:27:19 - mmengine - INFO - Epoch(train) [215][55/63] lr: 5.8648e-03 eta: 15:52:13 time: 0.8959 data_time: 0.1272 memory: 14974 loss_prob: 0.8460 loss_thr: 0.5201 loss_db: 0.1406 loss: 1.5067 08/28 17:27:23 - mmengine - INFO - Epoch(train) [215][60/63] lr: 5.8648e-03 eta: 15:52:01 time: 0.8554 data_time: 0.1263 memory: 14974 loss_prob: 0.9121 loss_thr: 0.5373 loss_db: 0.1521 loss: 1.6016 08/28 17:27:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:27:31 - mmengine - INFO - Epoch(train) [216][5/63] lr: 5.8595e-03 eta: 15:52:01 time: 1.0137 data_time: 0.2052 memory: 14974 loss_prob: 0.8069 loss_thr: 0.4980 loss_db: 0.1348 loss: 1.4398 08/28 17:27:36 - mmengine - INFO - Epoch(train) [216][10/63] lr: 5.8595e-03 eta: 15:51:43 time: 1.0711 data_time: 0.2386 memory: 14974 loss_prob: 0.9075 loss_thr: 0.5284 loss_db: 0.1504 loss: 1.5862 08/28 17:27:41 - mmengine - INFO - Epoch(train) [216][15/63] lr: 5.8595e-03 eta: 15:51:43 time: 0.9236 data_time: 0.0844 memory: 14974 loss_prob: 0.9722 loss_thr: 0.5562 loss_db: 0.1593 loss: 1.6877 08/28 17:27:45 - mmengine - INFO - Epoch(train) [216][20/63] lr: 5.8595e-03 eta: 15:51:33 time: 0.9012 data_time: 0.0524 memory: 14974 loss_prob: 0.8869 loss_thr: 0.5296 loss_db: 0.1440 loss: 1.5604 08/28 17:27:49 - mmengine - INFO - Epoch(train) [216][25/63] lr: 5.8595e-03 eta: 15:51:33 time: 0.8450 data_time: 0.1059 memory: 14974 loss_prob: 0.9662 loss_thr: 0.5304 loss_db: 0.1588 loss: 1.6553 08/28 17:27:53 - mmengine - INFO - Epoch(train) [216][30/63] lr: 5.8595e-03 eta: 15:51:21 time: 0.8420 data_time: 0.1031 memory: 14974 loss_prob: 0.9276 loss_thr: 0.5128 loss_db: 0.1546 loss: 1.5950 08/28 17:27:57 - mmengine - INFO - Epoch(train) [216][35/63] lr: 5.8595e-03 eta: 15:51:21 time: 0.8273 data_time: 0.0506 memory: 14974 loss_prob: 0.7979 loss_thr: 0.4785 loss_db: 0.1355 loss: 1.4119 08/28 17:28:01 - mmengine - INFO - Epoch(train) [216][40/63] lr: 5.8595e-03 eta: 15:51:08 time: 0.8384 data_time: 0.0665 memory: 14974 loss_prob: 0.8095 loss_thr: 0.4815 loss_db: 0.1370 loss: 1.4281 08/28 17:28:05 - mmengine - INFO - Epoch(train) [216][45/63] lr: 5.8595e-03 eta: 15:51:08 time: 0.7946 data_time: 0.0641 memory: 14974 loss_prob: 0.8357 loss_thr: 0.5060 loss_db: 0.1389 loss: 1.4806 08/28 17:28:09 - mmengine - INFO - Epoch(train) [216][50/63] lr: 5.8595e-03 eta: 15:50:52 time: 0.7812 data_time: 0.0574 memory: 14974 loss_prob: 0.8286 loss_thr: 0.5112 loss_db: 0.1388 loss: 1.4786 08/28 17:28:14 - mmengine - INFO - Epoch(train) [216][55/63] lr: 5.8595e-03 eta: 15:50:52 time: 0.8490 data_time: 0.1280 memory: 14974 loss_prob: 0.8698 loss_thr: 0.5303 loss_db: 0.1397 loss: 1.5399 08/28 17:28:19 - mmengine - INFO - Epoch(train) [216][60/63] lr: 5.8595e-03 eta: 15:50:43 time: 0.9302 data_time: 0.1215 memory: 14974 loss_prob: 0.8368 loss_thr: 0.5210 loss_db: 0.1348 loss: 1.4927 08/28 17:28:21 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:28:28 - mmengine - INFO - Epoch(train) [217][5/63] lr: 5.8541e-03 eta: 15:50:43 time: 1.1446 data_time: 0.2329 memory: 14974 loss_prob: 0.8304 loss_thr: 0.5378 loss_db: 0.1443 loss: 1.5125 08/28 17:28:32 - mmengine - INFO - Epoch(train) [217][10/63] lr: 5.8541e-03 eta: 15:50:30 time: 1.1630 data_time: 0.2892 memory: 14974 loss_prob: 0.7925 loss_thr: 0.4947 loss_db: 0.1338 loss: 1.4209 08/28 17:28:36 - mmengine - INFO - Epoch(train) [217][15/63] lr: 5.8541e-03 eta: 15:50:30 time: 0.8691 data_time: 0.1217 memory: 14974 loss_prob: 0.8541 loss_thr: 0.5082 loss_db: 0.1398 loss: 1.5021 08/28 17:28:42 - mmengine - INFO - Epoch(train) [217][20/63] lr: 5.8541e-03 eta: 15:50:21 time: 0.9290 data_time: 0.0662 memory: 14974 loss_prob: 0.8225 loss_thr: 0.5030 loss_db: 0.1347 loss: 1.4602 08/28 17:28:47 - mmengine - INFO - Epoch(train) [217][25/63] lr: 5.8541e-03 eta: 15:50:21 time: 1.0344 data_time: 0.1066 memory: 14974 loss_prob: 0.9698 loss_thr: 0.5421 loss_db: 0.1606 loss: 1.6725 08/28 17:28:51 - mmengine - INFO - Epoch(train) [217][30/63] lr: 5.8541e-03 eta: 15:50:11 time: 0.8950 data_time: 0.0901 memory: 14974 loss_prob: 1.0001 loss_thr: 0.5542 loss_db: 0.1648 loss: 1.7191 08/28 17:28:56 - mmengine - INFO - Epoch(train) [217][35/63] lr: 5.8541e-03 eta: 15:50:11 time: 0.9405 data_time: 0.0484 memory: 14974 loss_prob: 0.9207 loss_thr: 0.5290 loss_db: 0.1508 loss: 1.6005 08/28 17:29:00 - mmengine - INFO - Epoch(train) [217][40/63] lr: 5.8541e-03 eta: 15:50:04 time: 0.9833 data_time: 0.0975 memory: 14974 loss_prob: 0.9379 loss_thr: 0.5212 loss_db: 0.1611 loss: 1.6201 08/28 17:29:04 - mmengine - INFO - Epoch(train) [217][45/63] lr: 5.8541e-03 eta: 15:50:04 time: 0.8192 data_time: 0.1040 memory: 14974 loss_prob: 0.9232 loss_thr: 0.5240 loss_db: 0.1554 loss: 1.6026 08/28 17:29:08 - mmengine - INFO - Epoch(train) [217][50/63] lr: 5.8541e-03 eta: 15:49:50 time: 0.8023 data_time: 0.0656 memory: 14974 loss_prob: 0.9472 loss_thr: 0.5539 loss_db: 0.1551 loss: 1.6562 08/28 17:29:13 - mmengine - INFO - Epoch(train) [217][55/63] lr: 5.8541e-03 eta: 15:49:50 time: 0.8500 data_time: 0.0748 memory: 14974 loss_prob: 0.9269 loss_thr: 0.5339 loss_db: 0.1535 loss: 1.6143 08/28 17:29:17 - mmengine - INFO - Epoch(train) [217][60/63] lr: 5.8541e-03 eta: 15:49:36 time: 0.8255 data_time: 0.0674 memory: 14974 loss_prob: 0.9263 loss_thr: 0.5131 loss_db: 0.1495 loss: 1.5889 08/28 17:29:19 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:29:24 - mmengine - INFO - Epoch(train) [218][5/63] lr: 5.8487e-03 eta: 15:49:36 time: 0.9062 data_time: 0.1785 memory: 14974 loss_prob: 0.7826 loss_thr: 0.4807 loss_db: 0.1310 loss: 1.3944 08/28 17:29:29 - mmengine - INFO - Epoch(train) [218][10/63] lr: 5.8487e-03 eta: 15:49:15 time: 0.9912 data_time: 0.2561 memory: 14974 loss_prob: 0.7695 loss_thr: 0.4758 loss_db: 0.1278 loss: 1.3731 08/28 17:29:33 - mmengine - INFO - Epoch(train) [218][15/63] lr: 5.8487e-03 eta: 15:49:15 time: 0.8538 data_time: 0.1282 memory: 14974 loss_prob: 0.9648 loss_thr: 0.5441 loss_db: 0.1567 loss: 1.6656 08/28 17:29:37 - mmengine - INFO - Epoch(train) [218][20/63] lr: 5.8487e-03 eta: 15:49:00 time: 0.7816 data_time: 0.0679 memory: 14974 loss_prob: 1.0873 loss_thr: 0.5882 loss_db: 0.1771 loss: 1.8526 08/28 17:29:42 - mmengine - INFO - Epoch(train) [218][25/63] lr: 5.8487e-03 eta: 15:49:00 time: 0.9086 data_time: 0.0985 memory: 14974 loss_prob: 0.9400 loss_thr: 0.5452 loss_db: 0.1545 loss: 1.6397 08/28 17:29:46 - mmengine - INFO - Epoch(train) [218][30/63] lr: 5.8487e-03 eta: 15:48:51 time: 0.9313 data_time: 0.1041 memory: 14974 loss_prob: 0.9925 loss_thr: 0.5310 loss_db: 0.1611 loss: 1.6846 08/28 17:29:50 - mmengine - INFO - Epoch(train) [218][35/63] lr: 5.8487e-03 eta: 15:48:51 time: 0.8138 data_time: 0.0743 memory: 14974 loss_prob: 0.9966 loss_thr: 0.5352 loss_db: 0.1653 loss: 1.6971 08/28 17:29:55 - mmengine - INFO - Epoch(train) [218][40/63] lr: 5.8487e-03 eta: 15:48:39 time: 0.8625 data_time: 0.1259 memory: 14974 loss_prob: 0.9217 loss_thr: 0.5181 loss_db: 0.1506 loss: 1.5904 08/28 17:30:00 - mmengine - INFO - Epoch(train) [218][45/63] lr: 5.8487e-03 eta: 15:48:39 time: 1.0336 data_time: 0.1308 memory: 14974 loss_prob: 0.8768 loss_thr: 0.5011 loss_db: 0.1402 loss: 1.5181 08/28 17:30:05 - mmengine - INFO - Epoch(train) [218][50/63] lr: 5.8487e-03 eta: 15:48:34 time: 1.0085 data_time: 0.1084 memory: 14974 loss_prob: 0.8773 loss_thr: 0.5107 loss_db: 0.1466 loss: 1.5346 08/28 17:30:09 - mmengine - INFO - Epoch(train) [218][55/63] lr: 5.8487e-03 eta: 15:48:34 time: 0.8269 data_time: 0.0902 memory: 14974 loss_prob: 0.8844 loss_thr: 0.5016 loss_db: 0.1467 loss: 1.5327 08/28 17:30:13 - mmengine - INFO - Epoch(train) [218][60/63] lr: 5.8487e-03 eta: 15:48:22 time: 0.8550 data_time: 0.0517 memory: 14974 loss_prob: 0.9303 loss_thr: 0.5295 loss_db: 0.1490 loss: 1.6088 08/28 17:30:16 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:30:21 - mmengine - INFO - Epoch(train) [219][5/63] lr: 5.8434e-03 eta: 15:48:22 time: 0.9681 data_time: 0.2319 memory: 14974 loss_prob: 0.9424 loss_thr: 0.5486 loss_db: 0.1547 loss: 1.6456 08/28 17:30:25 - mmengine - INFO - Epoch(train) [219][10/63] lr: 5.8434e-03 eta: 15:47:58 time: 0.9341 data_time: 0.1918 memory: 14974 loss_prob: 0.8751 loss_thr: 0.5171 loss_db: 0.1428 loss: 1.5350 08/28 17:30:29 - mmengine - INFO - Epoch(train) [219][15/63] lr: 5.8434e-03 eta: 15:47:58 time: 0.8280 data_time: 0.0855 memory: 14974 loss_prob: 0.8612 loss_thr: 0.5172 loss_db: 0.1405 loss: 1.5189 08/28 17:30:34 - mmengine - INFO - Epoch(train) [219][20/63] lr: 5.8434e-03 eta: 15:47:46 time: 0.8439 data_time: 0.0860 memory: 14974 loss_prob: 0.8571 loss_thr: 0.5135 loss_db: 0.1418 loss: 1.5123 08/28 17:30:38 - mmengine - INFO - Epoch(train) [219][25/63] lr: 5.8434e-03 eta: 15:47:46 time: 0.8183 data_time: 0.0688 memory: 14974 loss_prob: 0.9926 loss_thr: 0.5285 loss_db: 0.1633 loss: 1.6844 08/28 17:30:42 - mmengine - INFO - Epoch(train) [219][30/63] lr: 5.8434e-03 eta: 15:47:33 time: 0.8466 data_time: 0.1368 memory: 14974 loss_prob: 0.9614 loss_thr: 0.5155 loss_db: 0.1592 loss: 1.6362 08/28 17:30:46 - mmengine - INFO - Epoch(train) [219][35/63] lr: 5.8434e-03 eta: 15:47:33 time: 0.8471 data_time: 0.1351 memory: 14974 loss_prob: 0.9252 loss_thr: 0.5176 loss_db: 0.1468 loss: 1.5896 08/28 17:30:50 - mmengine - INFO - Epoch(train) [219][40/63] lr: 5.8434e-03 eta: 15:47:20 time: 0.8269 data_time: 0.0682 memory: 14974 loss_prob: 0.9209 loss_thr: 0.5268 loss_db: 0.1483 loss: 1.5960 08/28 17:30:56 - mmengine - INFO - Epoch(train) [219][45/63] lr: 5.8434e-03 eta: 15:47:20 time: 0.9844 data_time: 0.1383 memory: 14974 loss_prob: 0.8540 loss_thr: 0.5147 loss_db: 0.1436 loss: 1.5124 08/28 17:31:00 - mmengine - INFO - Epoch(train) [219][50/63] lr: 5.8434e-03 eta: 15:47:14 time: 0.9873 data_time: 0.1381 memory: 14974 loss_prob: 0.9001 loss_thr: 0.5334 loss_db: 0.1466 loss: 1.5802 08/28 17:31:04 - mmengine - INFO - Epoch(train) [219][55/63] lr: 5.8434e-03 eta: 15:47:14 time: 0.8235 data_time: 0.0605 memory: 14974 loss_prob: 0.9159 loss_thr: 0.5376 loss_db: 0.1463 loss: 1.5998 08/28 17:31:09 - mmengine - INFO - Epoch(train) [219][60/63] lr: 5.8434e-03 eta: 15:47:05 time: 0.9286 data_time: 0.1360 memory: 14974 loss_prob: 0.9005 loss_thr: 0.5427 loss_db: 0.1459 loss: 1.5890 08/28 17:31:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:31:18 - mmengine - INFO - Epoch(train) [220][5/63] lr: 5.8380e-03 eta: 15:47:05 time: 1.0108 data_time: 0.1971 memory: 14974 loss_prob: 0.7681 loss_thr: 0.5115 loss_db: 0.1273 loss: 1.4068 08/28 17:31:22 - mmengine - INFO - Epoch(train) [220][10/63] lr: 5.8380e-03 eta: 15:46:45 time: 1.0244 data_time: 0.2353 memory: 14974 loss_prob: 0.8165 loss_thr: 0.5059 loss_db: 0.1340 loss: 1.4564 08/28 17:31:26 - mmengine - INFO - Epoch(train) [220][15/63] lr: 5.8380e-03 eta: 15:46:45 time: 0.8254 data_time: 0.0867 memory: 14974 loss_prob: 0.9337 loss_thr: 0.5403 loss_db: 0.1488 loss: 1.6228 08/28 17:31:30 - mmengine - INFO - Epoch(train) [220][20/63] lr: 5.8380e-03 eta: 15:46:30 time: 0.7854 data_time: 0.0502 memory: 14974 loss_prob: 0.9418 loss_thr: 0.5446 loss_db: 0.1541 loss: 1.6406 08/28 17:31:35 - mmengine - INFO - Epoch(train) [220][25/63] lr: 5.8380e-03 eta: 15:46:30 time: 0.8376 data_time: 0.1132 memory: 14974 loss_prob: 0.8301 loss_thr: 0.5011 loss_db: 0.1407 loss: 1.4720 08/28 17:31:39 - mmengine - INFO - Epoch(train) [220][30/63] lr: 5.8380e-03 eta: 15:46:21 time: 0.9227 data_time: 0.1066 memory: 14974 loss_prob: 0.7230 loss_thr: 0.4791 loss_db: 0.1178 loss: 1.3199 08/28 17:31:43 - mmengine - INFO - Epoch(train) [220][35/63] lr: 5.8380e-03 eta: 15:46:21 time: 0.8746 data_time: 0.0516 memory: 14974 loss_prob: 0.7168 loss_thr: 0.4903 loss_db: 0.1205 loss: 1.3275 08/28 17:31:47 - mmengine - INFO - Epoch(train) [220][40/63] lr: 5.8380e-03 eta: 15:46:07 time: 0.8113 data_time: 0.0675 memory: 14974 loss_prob: 0.7707 loss_thr: 0.4913 loss_db: 0.1297 loss: 1.3917 08/28 17:31:52 - mmengine - INFO - Epoch(train) [220][45/63] lr: 5.8380e-03 eta: 15:46:07 time: 0.8217 data_time: 0.0669 memory: 14974 loss_prob: 0.8424 loss_thr: 0.4966 loss_db: 0.1396 loss: 1.4786 08/28 17:31:56 - mmengine - INFO - Epoch(train) [220][50/63] lr: 5.8380e-03 eta: 15:45:53 time: 0.8104 data_time: 0.0659 memory: 14974 loss_prob: 0.8585 loss_thr: 0.4933 loss_db: 0.1442 loss: 1.4960 08/28 17:32:00 - mmengine - INFO - Epoch(train) [220][55/63] lr: 5.8380e-03 eta: 15:45:53 time: 0.8514 data_time: 0.1276 memory: 14974 loss_prob: 0.8331 loss_thr: 0.5001 loss_db: 0.1392 loss: 1.4725 08/28 17:32:04 - mmengine - INFO - Epoch(train) [220][60/63] lr: 5.8380e-03 eta: 15:45:40 time: 0.8360 data_time: 0.1191 memory: 14974 loss_prob: 0.8850 loss_thr: 0.5179 loss_db: 0.1473 loss: 1.5502 08/28 17:32:06 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:32:06 - mmengine - INFO - Saving checkpoint at 220 epochs 08/28 17:32:14 - mmengine - INFO - Epoch(val) [220][5/500] eta: 15:45:40 time: 0.1092 data_time: 0.0206 memory: 14974 08/28 17:32:14 - mmengine - INFO - Epoch(val) [220][10/500] eta: 0:00:54 time: 0.1116 data_time: 0.0213 memory: 1021 08/28 17:32:14 - mmengine - INFO - Epoch(val) [220][15/500] eta: 0:00:54 time: 0.0477 data_time: 0.0030 memory: 1021 08/28 17:32:15 - mmengine - INFO - Epoch(val) [220][20/500] eta: 0:00:22 time: 0.0466 data_time: 0.0025 memory: 1021 08/28 17:32:15 - mmengine - INFO - Epoch(val) [220][25/500] eta: 0:00:22 time: 0.0442 data_time: 0.0024 memory: 1021 08/28 17:32:15 - mmengine - INFO - Epoch(val) [220][30/500] eta: 0:00:22 time: 0.0480 data_time: 0.0025 memory: 1021 08/28 17:32:15 - mmengine - INFO - Epoch(val) [220][35/500] eta: 0:00:22 time: 0.0486 data_time: 0.0024 memory: 1021 08/28 17:32:16 - mmengine - INFO - Epoch(val) [220][40/500] eta: 0:00:22 time: 0.0480 data_time: 0.0023 memory: 1021 08/28 17:32:16 - mmengine - INFO - Epoch(val) [220][45/500] eta: 0:00:22 time: 0.0487 data_time: 0.0023 memory: 1021 08/28 17:32:16 - mmengine - INFO - Epoch(val) [220][50/500] eta: 0:00:20 time: 0.0454 data_time: 0.0022 memory: 1021 08/28 17:32:16 - mmengine - INFO - Epoch(val) [220][55/500] eta: 0:00:20 time: 0.0468 data_time: 0.0020 memory: 1021 08/28 17:32:16 - mmengine - INFO - Epoch(val) [220][60/500] eta: 0:00:20 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 17:32:17 - mmengine - INFO - Epoch(val) [220][65/500] eta: 0:00:20 time: 0.0463 data_time: 0.0022 memory: 1021 08/28 17:32:17 - mmengine - INFO - Epoch(val) [220][70/500] eta: 0:00:21 time: 0.0491 data_time: 0.0023 memory: 1021 08/28 17:32:17 - mmengine - INFO - Epoch(val) [220][75/500] eta: 0:00:21 time: 0.0464 data_time: 0.0024 memory: 1021 08/28 17:32:17 - mmengine - INFO - Epoch(val) [220][80/500] eta: 0:00:18 time: 0.0432 data_time: 0.0022 memory: 1021 08/28 17:32:18 - mmengine - INFO - Epoch(val) [220][85/500] eta: 0:00:18 time: 0.0417 data_time: 0.0021 memory: 1021 08/28 17:32:18 - mmengine - INFO - Epoch(val) [220][90/500] eta: 0:00:18 time: 0.0452 data_time: 0.0022 memory: 1021 08/28 17:32:18 - mmengine - INFO - Epoch(val) [220][95/500] eta: 0:00:18 time: 0.0480 data_time: 0.0022 memory: 1021 08/28 17:32:18 - mmengine - INFO - Epoch(val) [220][100/500] eta: 0:00:17 time: 0.0446 data_time: 0.0022 memory: 1021 08/28 17:32:19 - mmengine - INFO - Epoch(val) [220][105/500] eta: 0:00:17 time: 0.0436 data_time: 0.0023 memory: 1021 08/28 17:32:19 - mmengine - INFO - Epoch(val) [220][110/500] eta: 0:00:17 time: 0.0437 data_time: 0.0023 memory: 1021 08/28 17:32:19 - mmengine - INFO - Epoch(val) [220][115/500] eta: 0:00:17 time: 0.0448 data_time: 0.0023 memory: 1021 08/28 17:32:19 - mmengine - INFO - Epoch(val) [220][120/500] eta: 0:00:17 time: 0.0459 data_time: 0.0023 memory: 1021 08/28 17:32:19 - mmengine - INFO - Epoch(val) [220][125/500] eta: 0:00:17 time: 0.0494 data_time: 0.0071 memory: 1021 08/28 17:32:20 - mmengine - INFO - Epoch(val) [220][130/500] eta: 0:00:17 time: 0.0483 data_time: 0.0071 memory: 1021 08/28 17:32:20 - mmengine - INFO - Epoch(val) [220][135/500] eta: 0:00:17 time: 0.0430 data_time: 0.0023 memory: 1021 08/28 17:32:20 - mmengine - INFO - Epoch(val) [220][140/500] eta: 0:00:15 time: 0.0433 data_time: 0.0023 memory: 1021 08/28 17:32:20 - mmengine - INFO - Epoch(val) [220][145/500] eta: 0:00:15 time: 0.0469 data_time: 0.0022 memory: 1021 08/28 17:32:21 - mmengine - INFO - Epoch(val) [220][150/500] eta: 0:00:16 time: 0.0482 data_time: 0.0023 memory: 1021 08/28 17:32:21 - mmengine - INFO - Epoch(val) [220][155/500] eta: 0:00:16 time: 0.0502 data_time: 0.0024 memory: 1021 08/28 17:32:21 - mmengine - INFO - Epoch(val) [220][160/500] eta: 0:00:16 time: 0.0498 data_time: 0.0024 memory: 1021 08/28 17:32:21 - mmengine - INFO - Epoch(val) [220][165/500] eta: 0:00:16 time: 0.0469 data_time: 0.0024 memory: 1021 08/28 17:32:22 - mmengine - INFO - Epoch(val) [220][170/500] eta: 0:00:15 time: 0.0470 data_time: 0.0023 memory: 1021 08/28 17:32:22 - mmengine - INFO - Epoch(val) [220][175/500] eta: 0:00:15 time: 0.0445 data_time: 0.0023 memory: 1021 08/28 17:32:22 - mmengine - INFO - Epoch(val) [220][180/500] eta: 0:00:14 time: 0.0449 data_time: 0.0024 memory: 1021 08/28 17:32:22 - mmengine - INFO - Epoch(val) [220][185/500] eta: 0:00:14 time: 0.0479 data_time: 0.0024 memory: 1021 08/28 17:32:23 - mmengine - INFO - Epoch(val) [220][190/500] eta: 0:00:15 time: 0.0485 data_time: 0.0022 memory: 1021 08/28 17:32:23 - mmengine - INFO - Epoch(val) [220][195/500] eta: 0:00:15 time: 0.0457 data_time: 0.0021 memory: 1021 08/28 17:32:23 - mmengine - INFO - Epoch(val) [220][200/500] eta: 0:00:14 time: 0.0497 data_time: 0.0023 memory: 1021 08/28 17:32:23 - mmengine - INFO - Epoch(val) [220][205/500] eta: 0:00:14 time: 0.0493 data_time: 0.0023 memory: 1021 08/28 17:32:23 - mmengine - INFO - Epoch(val) [220][210/500] eta: 0:00:12 time: 0.0431 data_time: 0.0023 memory: 1021 08/28 17:32:24 - mmengine - INFO - Epoch(val) [220][215/500] eta: 0:00:12 time: 0.0452 data_time: 0.0024 memory: 1021 08/28 17:32:24 - mmengine - INFO - Epoch(val) [220][220/500] eta: 0:00:13 time: 0.0469 data_time: 0.0024 memory: 1021 08/28 17:32:24 - mmengine - INFO - Epoch(val) [220][225/500] eta: 0:00:13 time: 0.0466 data_time: 0.0023 memory: 1021 08/28 17:32:24 - mmengine - INFO - Epoch(val) [220][230/500] eta: 0:00:12 time: 0.0451 data_time: 0.0024 memory: 1021 08/28 17:32:25 - mmengine - INFO - Epoch(val) [220][235/500] eta: 0:00:12 time: 0.0451 data_time: 0.0025 memory: 1021 08/28 17:32:25 - mmengine - INFO - Epoch(val) [220][240/500] eta: 0:00:12 time: 0.0463 data_time: 0.0024 memory: 1021 08/28 17:32:25 - mmengine - INFO - Epoch(val) [220][245/500] eta: 0:00:12 time: 0.0446 data_time: 0.0023 memory: 1021 08/28 17:32:25 - mmengine - INFO - Epoch(val) [220][250/500] eta: 0:00:11 time: 0.0443 data_time: 0.0023 memory: 1021 08/28 17:32:26 - mmengine - INFO - Epoch(val) [220][255/500] eta: 0:00:11 time: 0.0493 data_time: 0.0031 memory: 1021 08/28 17:32:26 - mmengine - INFO - Epoch(val) [220][260/500] eta: 0:00:12 time: 0.0540 data_time: 0.0033 memory: 1021 08/28 17:32:26 - mmengine - INFO - Epoch(val) [220][265/500] eta: 0:00:12 time: 0.0539 data_time: 0.0027 memory: 1021 08/28 17:32:26 - mmengine - INFO - Epoch(val) [220][270/500] eta: 0:00:11 time: 0.0498 data_time: 0.0024 memory: 1021 08/28 17:32:27 - mmengine - INFO - Epoch(val) [220][275/500] eta: 0:00:11 time: 0.0492 data_time: 0.0024 memory: 1021 08/28 17:32:27 - mmengine - INFO - Epoch(val) [220][280/500] eta: 0:00:21 time: 0.0980 data_time: 0.0025 memory: 1021 08/28 17:32:28 - mmengine - INFO - Epoch(val) [220][285/500] eta: 0:00:21 time: 0.1050 data_time: 0.0079 memory: 1021 08/28 17:32:28 - mmengine - INFO - Epoch(val) [220][290/500] eta: 0:00:12 time: 0.0577 data_time: 0.0079 memory: 1021 08/28 17:32:28 - mmengine - INFO - Epoch(val) [220][295/500] eta: 0:00:12 time: 0.0484 data_time: 0.0022 memory: 1021 08/28 17:32:28 - mmengine - INFO - Epoch(val) [220][300/500] eta: 0:00:10 time: 0.0503 data_time: 0.0022 memory: 1021 08/28 17:32:29 - mmengine - INFO - Epoch(val) [220][305/500] eta: 0:00:10 time: 0.0532 data_time: 0.0023 memory: 1021 08/28 17:32:29 - mmengine - INFO - Epoch(val) [220][310/500] eta: 0:00:09 time: 0.0490 data_time: 0.0023 memory: 1021 08/28 17:32:29 - mmengine - INFO - Epoch(val) [220][315/500] eta: 0:00:09 time: 0.0520 data_time: 0.0024 memory: 1021 08/28 17:32:29 - mmengine - INFO - Epoch(val) [220][320/500] eta: 0:00:09 time: 0.0537 data_time: 0.0026 memory: 1021 08/28 17:32:30 - mmengine - INFO - Epoch(val) [220][325/500] eta: 0:00:09 time: 0.0631 data_time: 0.0063 memory: 1021 08/28 17:32:30 - mmengine - INFO - Epoch(val) [220][330/500] eta: 0:00:10 time: 0.0643 data_time: 0.0061 memory: 1021 08/28 17:32:30 - mmengine - INFO - Epoch(val) [220][335/500] eta: 0:00:10 time: 0.0483 data_time: 0.0023 memory: 1021 08/28 17:32:31 - mmengine - INFO - Epoch(val) [220][340/500] eta: 0:00:10 time: 0.0672 data_time: 0.0026 memory: 1021 08/28 17:32:31 - mmengine - INFO - Epoch(val) [220][345/500] eta: 0:00:10 time: 0.0703 data_time: 0.0026 memory: 1021 08/28 17:32:31 - mmengine - INFO - Epoch(val) [220][350/500] eta: 0:00:08 time: 0.0565 data_time: 0.0026 memory: 1021 08/28 17:32:32 - mmengine - INFO - Epoch(val) [220][355/500] eta: 0:00:08 time: 0.0522 data_time: 0.0024 memory: 1021 08/28 17:32:32 - mmengine - INFO - Epoch(val) [220][360/500] eta: 0:00:06 time: 0.0465 data_time: 0.0022 memory: 1021 08/28 17:32:32 - mmengine - INFO - Epoch(val) [220][365/500] eta: 0:00:06 time: 0.0481 data_time: 0.0023 memory: 1021 08/28 17:32:32 - mmengine - INFO - Epoch(val) [220][370/500] eta: 0:00:05 time: 0.0440 data_time: 0.0022 memory: 1021 08/28 17:32:32 - mmengine - INFO - Epoch(val) [220][375/500] eta: 0:00:05 time: 0.0422 data_time: 0.0021 memory: 1021 08/28 17:32:33 - mmengine - INFO - Epoch(val) [220][380/500] eta: 0:00:05 time: 0.0462 data_time: 0.0021 memory: 1021 08/28 17:32:33 - mmengine - INFO - Epoch(val) [220][385/500] eta: 0:00:05 time: 0.0472 data_time: 0.0021 memory: 1021 08/28 17:32:33 - mmengine - INFO - Epoch(val) [220][390/500] eta: 0:00:05 time: 0.0462 data_time: 0.0021 memory: 1021 08/28 17:32:33 - mmengine - INFO - Epoch(val) [220][395/500] eta: 0:00:05 time: 0.0463 data_time: 0.0021 memory: 1021 08/28 17:32:34 - mmengine - INFO - Epoch(val) [220][400/500] eta: 0:00:04 time: 0.0455 data_time: 0.0021 memory: 1021 08/28 17:32:34 - mmengine - INFO - Epoch(val) [220][405/500] eta: 0:00:04 time: 0.0461 data_time: 0.0022 memory: 1021 08/28 17:32:34 - mmengine - INFO - Epoch(val) [220][410/500] eta: 0:00:04 time: 0.0479 data_time: 0.0022 memory: 1021 08/28 17:32:34 - mmengine - INFO - Epoch(val) [220][415/500] eta: 0:00:04 time: 0.0469 data_time: 0.0022 memory: 1021 08/28 17:32:35 - mmengine - INFO - Epoch(val) [220][420/500] eta: 0:00:03 time: 0.0454 data_time: 0.0047 memory: 1021 08/28 17:32:35 - mmengine - INFO - Epoch(val) [220][425/500] eta: 0:00:03 time: 0.0469 data_time: 0.0049 memory: 1021 08/28 17:32:35 - mmengine - INFO - Epoch(val) [220][430/500] eta: 0:00:03 time: 0.0463 data_time: 0.0024 memory: 1021 08/28 17:32:35 - mmengine - INFO - Epoch(val) [220][435/500] eta: 0:00:03 time: 0.0453 data_time: 0.0022 memory: 1021 08/28 17:32:35 - mmengine - INFO - Epoch(val) [220][440/500] eta: 0:00:02 time: 0.0458 data_time: 0.0022 memory: 1021 08/28 17:32:36 - mmengine - INFO - Epoch(val) [220][445/500] eta: 0:00:02 time: 0.0475 data_time: 0.0023 memory: 1021 08/28 17:32:36 - mmengine - INFO - Epoch(val) [220][450/500] eta: 0:00:02 time: 0.0481 data_time: 0.0024 memory: 1021 08/28 17:32:36 - mmengine - INFO - Epoch(val) [220][455/500] eta: 0:00:02 time: 0.0462 data_time: 0.0025 memory: 1021 08/28 17:32:36 - mmengine - INFO - Epoch(val) [220][460/500] eta: 0:00:01 time: 0.0442 data_time: 0.0025 memory: 1021 08/28 17:32:37 - mmengine - INFO - Epoch(val) [220][465/500] eta: 0:00:01 time: 0.0434 data_time: 0.0024 memory: 1021 08/28 17:32:37 - mmengine - INFO - Epoch(val) [220][470/500] eta: 0:00:01 time: 0.0435 data_time: 0.0024 memory: 1021 08/28 17:32:37 - mmengine - INFO - Epoch(val) [220][475/500] eta: 0:00:01 time: 0.0469 data_time: 0.0033 memory: 1021 08/28 17:32:37 - mmengine - INFO - Epoch(val) [220][480/500] eta: 0:00:00 time: 0.0478 data_time: 0.0034 memory: 1021 08/28 17:32:37 - mmengine - INFO - Epoch(val) [220][485/500] eta: 0:00:00 time: 0.0448 data_time: 0.0024 memory: 1021 08/28 17:32:38 - mmengine - INFO - Epoch(val) [220][490/500] eta: 0:00:00 time: 0.0464 data_time: 0.0024 memory: 1021 08/28 17:32:38 - mmengine - INFO - Epoch(val) [220][495/500] eta: 0:00:00 time: 0.0482 data_time: 0.0023 memory: 1021 08/28 17:32:38 - mmengine - INFO - Epoch(val) [220][500/500] eta: 0:00:00 time: 0.0466 data_time: 0.0021 memory: 1021 08/28 17:32:38 - mmengine - INFO - Evaluating hmean-iou... 08/28 17:32:38 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8161, precision: 0.7204, hmean: 0.7652 08/28 17:32:38 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8156, precision: 0.7728, hmean: 0.7936 08/28 17:32:38 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8127, precision: 0.8170, hmean: 0.8149 08/28 17:32:38 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8031, precision: 0.8580, hmean: 0.8296 08/28 17:32:38 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7631, precision: 0.8985, hmean: 0.8253 08/28 17:32:38 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.4964, precision: 0.9441, hmean: 0.6507 08/28 17:32:38 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0169, precision: 0.9211, hmean: 0.0331 08/28 17:32:38 - mmengine - INFO - Epoch(val) [220][500/500] icdar/precision: 0.8580 icdar/recall: 0.8031 icdar/hmean: 0.8296 08/28 17:32:45 - mmengine - INFO - Epoch(train) [221][5/63] lr: 5.8327e-03 eta: 0:00:00 time: 0.9617 data_time: 0.2003 memory: 14974 loss_prob: 0.9034 loss_thr: 0.5261 loss_db: 0.1477 loss: 1.5771 08/28 17:32:49 - mmengine - INFO - Epoch(train) [221][10/63] lr: 5.8327e-03 eta: 15:45:20 time: 1.0032 data_time: 0.2074 memory: 14974 loss_prob: 0.8436 loss_thr: 0.5131 loss_db: 0.1400 loss: 1.4967 08/28 17:32:53 - mmengine - INFO - Epoch(train) [221][15/63] lr: 5.8327e-03 eta: 15:45:20 time: 0.8267 data_time: 0.1069 memory: 14974 loss_prob: 0.9018 loss_thr: 0.5405 loss_db: 0.1520 loss: 1.5943 08/28 17:32:57 - mmengine - INFO - Epoch(train) [221][20/63] lr: 5.8327e-03 eta: 15:45:08 time: 0.8522 data_time: 0.0999 memory: 14974 loss_prob: 0.9129 loss_thr: 0.5412 loss_db: 0.1507 loss: 1.6048 08/28 17:33:02 - mmengine - INFO - Epoch(train) [221][25/63] lr: 5.8327e-03 eta: 15:45:08 time: 0.8206 data_time: 0.0559 memory: 14974 loss_prob: 0.8415 loss_thr: 0.5132 loss_db: 0.1388 loss: 1.4935 08/28 17:33:06 - mmengine - INFO - Epoch(train) [221][30/63] lr: 5.8327e-03 eta: 15:44:54 time: 0.8234 data_time: 0.0758 memory: 14974 loss_prob: 0.8088 loss_thr: 0.5111 loss_db: 0.1370 loss: 1.4568 08/28 17:33:10 - mmengine - INFO - Epoch(train) [221][35/63] lr: 5.8327e-03 eta: 15:44:54 time: 0.8036 data_time: 0.0741 memory: 14974 loss_prob: 0.7889 loss_thr: 0.4913 loss_db: 0.1347 loss: 1.4148 08/28 17:33:14 - mmengine - INFO - Epoch(train) [221][40/63] lr: 5.8327e-03 eta: 15:44:39 time: 0.7865 data_time: 0.0604 memory: 14974 loss_prob: 0.7670 loss_thr: 0.4725 loss_db: 0.1302 loss: 1.3697 08/28 17:33:19 - mmengine - INFO - Epoch(train) [221][45/63] lr: 5.8327e-03 eta: 15:44:39 time: 0.9203 data_time: 0.1203 memory: 14974 loss_prob: 0.7827 loss_thr: 0.4837 loss_db: 0.1318 loss: 1.3982 08/28 17:33:23 - mmengine - INFO - Epoch(train) [221][50/63] lr: 5.8327e-03 eta: 15:44:33 time: 0.9799 data_time: 0.1246 memory: 14974 loss_prob: 0.8413 loss_thr: 0.5149 loss_db: 0.1373 loss: 1.4934 08/28 17:33:28 - mmengine - INFO - Epoch(train) [221][55/63] lr: 5.8327e-03 eta: 15:44:33 time: 0.9498 data_time: 0.0682 memory: 14974 loss_prob: 0.7882 loss_thr: 0.5185 loss_db: 0.1282 loss: 1.4348 08/28 17:33:33 - mmengine - INFO - Epoch(train) [221][60/63] lr: 5.8327e-03 eta: 15:44:25 time: 0.9491 data_time: 0.1242 memory: 14974 loss_prob: 0.7047 loss_thr: 0.4961 loss_db: 0.1198 loss: 1.3205 08/28 17:33:35 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:33:40 - mmengine - INFO - Epoch(train) [222][5/63] lr: 5.8273e-03 eta: 15:44:25 time: 0.8817 data_time: 0.1697 memory: 14974 loss_prob: 0.8002 loss_thr: 0.5076 loss_db: 0.1334 loss: 1.4412 08/28 17:33:46 - mmengine - INFO - Epoch(train) [222][10/63] lr: 5.8273e-03 eta: 15:44:08 time: 1.0775 data_time: 0.1990 memory: 14974 loss_prob: 0.7815 loss_thr: 0.4976 loss_db: 0.1315 loss: 1.4106 08/28 17:33:50 - mmengine - INFO - Epoch(train) [222][15/63] lr: 5.8273e-03 eta: 15:44:08 time: 1.0082 data_time: 0.0923 memory: 14974 loss_prob: 0.8524 loss_thr: 0.5196 loss_db: 0.1433 loss: 1.5153 08/28 17:33:55 - mmengine - INFO - Epoch(train) [222][20/63] lr: 5.8273e-03 eta: 15:43:57 time: 0.8909 data_time: 0.0877 memory: 14974 loss_prob: 0.9088 loss_thr: 0.5360 loss_db: 0.1490 loss: 1.5939 08/28 17:33:59 - mmengine - INFO - Epoch(train) [222][25/63] lr: 5.8273e-03 eta: 15:43:57 time: 0.8410 data_time: 0.0951 memory: 14974 loss_prob: 0.8428 loss_thr: 0.5151 loss_db: 0.1396 loss: 1.4974 08/28 17:34:03 - mmengine - INFO - Epoch(train) [222][30/63] lr: 5.8273e-03 eta: 15:43:42 time: 0.7759 data_time: 0.0608 memory: 14974 loss_prob: 0.8404 loss_thr: 0.5139 loss_db: 0.1419 loss: 1.4962 08/28 17:34:08 - mmengine - INFO - Epoch(train) [222][35/63] lr: 5.8273e-03 eta: 15:43:42 time: 0.8846 data_time: 0.1008 memory: 14974 loss_prob: 0.8746 loss_thr: 0.5080 loss_db: 0.1438 loss: 1.5264 08/28 17:34:11 - mmengine - INFO - Epoch(train) [222][40/63] lr: 5.8273e-03 eta: 15:43:31 time: 0.8867 data_time: 0.0959 memory: 14974 loss_prob: 0.8578 loss_thr: 0.4966 loss_db: 0.1439 loss: 1.4982 08/28 17:34:15 - mmengine - INFO - Epoch(train) [222][45/63] lr: 5.8273e-03 eta: 15:43:31 time: 0.7733 data_time: 0.0381 memory: 14974 loss_prob: 0.8629 loss_thr: 0.5028 loss_db: 0.1443 loss: 1.5101 08/28 17:34:20 - mmengine - INFO - Epoch(train) [222][50/63] lr: 5.8273e-03 eta: 15:43:18 time: 0.8347 data_time: 0.0733 memory: 14974 loss_prob: 0.8543 loss_thr: 0.5074 loss_db: 0.1396 loss: 1.5013 08/28 17:34:24 - mmengine - INFO - Epoch(train) [222][55/63] lr: 5.8273e-03 eta: 15:43:18 time: 0.8371 data_time: 0.0833 memory: 14974 loss_prob: 0.8167 loss_thr: 0.4913 loss_db: 0.1380 loss: 1.4460 08/28 17:34:28 - mmengine - INFO - Epoch(train) [222][60/63] lr: 5.8273e-03 eta: 15:43:04 time: 0.7933 data_time: 0.0581 memory: 14974 loss_prob: 0.7731 loss_thr: 0.4720 loss_db: 0.1302 loss: 1.3753 08/28 17:34:31 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:34:36 - mmengine - INFO - Epoch(train) [223][5/63] lr: 5.8219e-03 eta: 15:43:04 time: 0.9441 data_time: 0.2432 memory: 14974 loss_prob: 0.8703 loss_thr: 0.5029 loss_db: 0.1424 loss: 1.5156 08/28 17:34:40 - mmengine - INFO - Epoch(train) [223][10/63] lr: 5.8219e-03 eta: 15:42:41 time: 0.9454 data_time: 0.1755 memory: 14974 loss_prob: 0.9546 loss_thr: 0.5411 loss_db: 0.1585 loss: 1.6542 08/28 17:34:45 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:34:46 - mmengine - INFO - Epoch(train) [223][15/63] lr: 5.8219e-03 eta: 15:42:41 time: 0.9814 data_time: 0.1241 memory: 14974 loss_prob: 0.9249 loss_thr: 0.5452 loss_db: 0.1520 loss: 1.6221 08/28 17:34:50 - mmengine - INFO - Epoch(train) [223][20/63] lr: 5.8219e-03 eta: 15:42:33 time: 0.9514 data_time: 0.1208 memory: 14974 loss_prob: 0.9697 loss_thr: 0.5469 loss_db: 0.1571 loss: 1.6736 08/28 17:34:54 - mmengine - INFO - Epoch(train) [223][25/63] lr: 5.8219e-03 eta: 15:42:33 time: 0.8197 data_time: 0.0721 memory: 14974 loss_prob: 0.9591 loss_thr: 0.5433 loss_db: 0.1593 loss: 1.6617 08/28 17:34:59 - mmengine - INFO - Epoch(train) [223][30/63] lr: 5.8219e-03 eta: 15:42:25 time: 0.9399 data_time: 0.1180 memory: 14974 loss_prob: 0.8889 loss_thr: 0.5246 loss_db: 0.1490 loss: 1.5625 08/28 17:35:04 - mmengine - INFO - Epoch(train) [223][35/63] lr: 5.8219e-03 eta: 15:42:25 time: 1.0073 data_time: 0.1117 memory: 14974 loss_prob: 0.8671 loss_thr: 0.5189 loss_db: 0.1436 loss: 1.5296 08/28 17:35:08 - mmengine - INFO - Epoch(train) [223][40/63] lr: 5.8219e-03 eta: 15:42:15 time: 0.9106 data_time: 0.0927 memory: 14974 loss_prob: 0.8218 loss_thr: 0.5110 loss_db: 0.1395 loss: 1.4722 08/28 17:35:12 - mmengine - INFO - Epoch(train) [223][45/63] lr: 5.8219e-03 eta: 15:42:15 time: 0.8236 data_time: 0.0874 memory: 14974 loss_prob: 0.8136 loss_thr: 0.4874 loss_db: 0.1378 loss: 1.4388 08/28 17:35:16 - mmengine - INFO - Epoch(train) [223][50/63] lr: 5.8219e-03 eta: 15:42:01 time: 0.7984 data_time: 0.0528 memory: 14974 loss_prob: 0.8013 loss_thr: 0.4872 loss_db: 0.1354 loss: 1.4239 08/28 17:35:21 - mmengine - INFO - Epoch(train) [223][55/63] lr: 5.8219e-03 eta: 15:42:01 time: 0.8765 data_time: 0.0925 memory: 14974 loss_prob: 0.7865 loss_thr: 0.4906 loss_db: 0.1335 loss: 1.4106 08/28 17:35:25 - mmengine - INFO - Epoch(train) [223][60/63] lr: 5.8219e-03 eta: 15:41:49 time: 0.8668 data_time: 0.1057 memory: 14974 loss_prob: 0.7290 loss_thr: 0.4664 loss_db: 0.1209 loss: 1.3162 08/28 17:35:27 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:35:33 - mmengine - INFO - Epoch(train) [224][5/63] lr: 5.8166e-03 eta: 15:41:49 time: 0.9166 data_time: 0.1934 memory: 14974 loss_prob: 0.8255 loss_thr: 0.5004 loss_db: 0.1395 loss: 1.4655 08/28 17:35:37 - mmengine - INFO - Epoch(train) [224][10/63] lr: 5.8166e-03 eta: 15:41:28 time: 0.9784 data_time: 0.2206 memory: 14974 loss_prob: 0.7743 loss_thr: 0.4687 loss_db: 0.1309 loss: 1.3739 08/28 17:35:41 - mmengine - INFO - Epoch(train) [224][15/63] lr: 5.8166e-03 eta: 15:41:28 time: 0.8538 data_time: 0.0658 memory: 14974 loss_prob: 0.7798 loss_thr: 0.4898 loss_db: 0.1298 loss: 1.3994 08/28 17:35:45 - mmengine - INFO - Epoch(train) [224][20/63] lr: 5.8166e-03 eta: 15:41:16 time: 0.8540 data_time: 0.0519 memory: 14974 loss_prob: 0.7997 loss_thr: 0.5251 loss_db: 0.1338 loss: 1.4586 08/28 17:35:50 - mmengine - INFO - Epoch(train) [224][25/63] lr: 5.8166e-03 eta: 15:41:16 time: 0.8934 data_time: 0.1385 memory: 14974 loss_prob: 0.8404 loss_thr: 0.5128 loss_db: 0.1425 loss: 1.4957 08/28 17:35:54 - mmengine - INFO - Epoch(train) [224][30/63] lr: 5.8166e-03 eta: 15:41:05 time: 0.8760 data_time: 0.1275 memory: 14974 loss_prob: 0.7814 loss_thr: 0.4835 loss_db: 0.1338 loss: 1.3986 08/28 17:36:00 - mmengine - INFO - Epoch(train) [224][35/63] lr: 5.8166e-03 eta: 15:41:05 time: 0.9521 data_time: 0.0645 memory: 14974 loss_prob: 0.7259 loss_thr: 0.4752 loss_db: 0.1259 loss: 1.3269 08/28 17:36:05 - mmengine - INFO - Epoch(train) [224][40/63] lr: 5.8166e-03 eta: 15:41:03 time: 1.0734 data_time: 0.1305 memory: 14974 loss_prob: 0.7853 loss_thr: 0.4981 loss_db: 0.1352 loss: 1.4186 08/28 17:36:09 - mmengine - INFO - Epoch(train) [224][45/63] lr: 5.8166e-03 eta: 15:41:03 time: 0.9118 data_time: 0.1259 memory: 14974 loss_prob: 0.7975 loss_thr: 0.4950 loss_db: 0.1343 loss: 1.4267 08/28 17:36:13 - mmengine - INFO - Epoch(train) [224][50/63] lr: 5.8166e-03 eta: 15:40:48 time: 0.8014 data_time: 0.0672 memory: 14974 loss_prob: 0.8422 loss_thr: 0.5138 loss_db: 0.1408 loss: 1.4967 08/28 17:36:20 - mmengine - INFO - Epoch(train) [224][55/63] lr: 5.8166e-03 eta: 15:40:48 time: 1.1077 data_time: 0.1283 memory: 14974 loss_prob: 0.9239 loss_thr: 0.5334 loss_db: 0.1511 loss: 1.6085 08/28 17:36:24 - mmengine - INFO - Epoch(train) [224][60/63] lr: 5.8166e-03 eta: 15:40:50 time: 1.1555 data_time: 0.1191 memory: 14974 loss_prob: 0.8940 loss_thr: 0.5002 loss_db: 0.1455 loss: 1.5397 08/28 17:36:27 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:36:33 - mmengine - INFO - Epoch(train) [225][5/63] lr: 5.8112e-03 eta: 15:40:50 time: 0.9762 data_time: 0.2462 memory: 14974 loss_prob: 0.8373 loss_thr: 0.4956 loss_db: 0.1387 loss: 1.4716 08/28 17:36:37 - mmengine - INFO - Epoch(train) [225][10/63] lr: 5.8112e-03 eta: 15:40:29 time: 0.9893 data_time: 0.2182 memory: 14974 loss_prob: 0.8354 loss_thr: 0.5019 loss_db: 0.1375 loss: 1.4747 08/28 17:36:42 - mmengine - INFO - Epoch(train) [225][15/63] lr: 5.8112e-03 eta: 15:40:29 time: 0.8722 data_time: 0.1040 memory: 14974 loss_prob: 0.8054 loss_thr: 0.4943 loss_db: 0.1358 loss: 1.4355 08/28 17:36:46 - mmengine - INFO - Epoch(train) [225][20/63] lr: 5.8112e-03 eta: 15:40:18 time: 0.8814 data_time: 0.1029 memory: 14974 loss_prob: 0.7838 loss_thr: 0.4884 loss_db: 0.1330 loss: 1.4052 08/28 17:36:50 - mmengine - INFO - Epoch(train) [225][25/63] lr: 5.8112e-03 eta: 15:40:18 time: 0.7937 data_time: 0.0520 memory: 14974 loss_prob: 0.7890 loss_thr: 0.4839 loss_db: 0.1302 loss: 1.4030 08/28 17:36:54 - mmengine - INFO - Epoch(train) [225][30/63] lr: 5.8112e-03 eta: 15:40:04 time: 0.7980 data_time: 0.0659 memory: 14974 loss_prob: 0.8175 loss_thr: 0.4980 loss_db: 0.1364 loss: 1.4519 08/28 17:36:58 - mmengine - INFO - Epoch(train) [225][35/63] lr: 5.8112e-03 eta: 15:40:04 time: 0.8046 data_time: 0.0669 memory: 14974 loss_prob: 0.8403 loss_thr: 0.5094 loss_db: 0.1425 loss: 1.4922 08/28 17:37:02 - mmengine - INFO - Epoch(train) [225][40/63] lr: 5.8112e-03 eta: 15:39:50 time: 0.8051 data_time: 0.0571 memory: 14974 loss_prob: 0.7943 loss_thr: 0.4891 loss_db: 0.1322 loss: 1.4155 08/28 17:37:06 - mmengine - INFO - Epoch(train) [225][45/63] lr: 5.8112e-03 eta: 15:39:50 time: 0.8657 data_time: 0.1329 memory: 14974 loss_prob: 0.7973 loss_thr: 0.4933 loss_db: 0.1320 loss: 1.4225 08/28 17:37:11 - mmengine - INFO - Epoch(train) [225][50/63] lr: 5.8112e-03 eta: 15:39:40 time: 0.9104 data_time: 0.1478 memory: 14974 loss_prob: 0.8446 loss_thr: 0.5221 loss_db: 0.1397 loss: 1.5064 08/28 17:37:15 - mmengine - INFO - Epoch(train) [225][55/63] lr: 5.8112e-03 eta: 15:39:40 time: 0.8922 data_time: 0.0804 memory: 14974 loss_prob: 0.8128 loss_thr: 0.5053 loss_db: 0.1338 loss: 1.4518 08/28 17:37:21 - mmengine - INFO - Epoch(train) [225][60/63] lr: 5.8112e-03 eta: 15:39:34 time: 0.9962 data_time: 0.1084 memory: 14974 loss_prob: 0.7295 loss_thr: 0.4783 loss_db: 0.1241 loss: 1.3320 08/28 17:37:23 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:37:28 - mmengine - INFO - Epoch(train) [226][5/63] lr: 5.8058e-03 eta: 15:39:34 time: 0.9454 data_time: 0.1547 memory: 14974 loss_prob: 0.7657 loss_thr: 0.4828 loss_db: 0.1282 loss: 1.3767 08/28 17:37:33 - mmengine - INFO - Epoch(train) [226][10/63] lr: 5.8058e-03 eta: 15:39:15 time: 1.0228 data_time: 0.2310 memory: 14974 loss_prob: 0.8770 loss_thr: 0.5043 loss_db: 0.1426 loss: 1.5239 08/28 17:37:39 - mmengine - INFO - Epoch(train) [226][15/63] lr: 5.8058e-03 eta: 15:39:15 time: 1.0188 data_time: 0.1247 memory: 14974 loss_prob: 0.8615 loss_thr: 0.5000 loss_db: 0.1420 loss: 1.5035 08/28 17:37:43 - mmengine - INFO - Epoch(train) [226][20/63] lr: 5.8058e-03 eta: 15:39:07 time: 0.9510 data_time: 0.0747 memory: 14974 loss_prob: 0.7754 loss_thr: 0.4924 loss_db: 0.1284 loss: 1.3962 08/28 17:37:47 - mmengine - INFO - Epoch(train) [226][25/63] lr: 5.8058e-03 eta: 15:39:07 time: 0.8775 data_time: 0.0829 memory: 14974 loss_prob: 0.8434 loss_thr: 0.4956 loss_db: 0.1416 loss: 1.4806 08/28 17:37:51 - mmengine - INFO - Epoch(train) [226][30/63] lr: 5.8058e-03 eta: 15:38:56 time: 0.8603 data_time: 0.0633 memory: 14974 loss_prob: 0.9454 loss_thr: 0.5151 loss_db: 0.1611 loss: 1.6217 08/28 17:37:56 - mmengine - INFO - Epoch(train) [226][35/63] lr: 5.8058e-03 eta: 15:38:56 time: 0.8293 data_time: 0.0984 memory: 14974 loss_prob: 0.9118 loss_thr: 0.5329 loss_db: 0.1531 loss: 1.5979 08/28 17:38:00 - mmengine - INFO - Epoch(train) [226][40/63] lr: 5.8058e-03 eta: 15:38:45 time: 0.8856 data_time: 0.1081 memory: 14974 loss_prob: 0.8793 loss_thr: 0.5318 loss_db: 0.1480 loss: 1.5590 08/28 17:38:04 - mmengine - INFO - Epoch(train) [226][45/63] lr: 5.8058e-03 eta: 15:38:45 time: 0.8557 data_time: 0.0734 memory: 14974 loss_prob: 0.8130 loss_thr: 0.4918 loss_db: 0.1359 loss: 1.4408 08/28 17:38:08 - mmengine - INFO - Epoch(train) [226][50/63] lr: 5.8058e-03 eta: 15:38:31 time: 0.8024 data_time: 0.0748 memory: 14974 loss_prob: 0.8855 loss_thr: 0.4901 loss_db: 0.1437 loss: 1.5192 08/28 17:38:12 - mmengine - INFO - Epoch(train) [226][55/63] lr: 5.8058e-03 eta: 15:38:31 time: 0.8015 data_time: 0.0803 memory: 14974 loss_prob: 0.8496 loss_thr: 0.4805 loss_db: 0.1378 loss: 1.4678 08/28 17:38:16 - mmengine - INFO - Epoch(train) [226][60/63] lr: 5.8058e-03 eta: 15:38:17 time: 0.8050 data_time: 0.0572 memory: 14974 loss_prob: 0.7934 loss_thr: 0.4900 loss_db: 0.1284 loss: 1.4118 08/28 17:38:19 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:38:24 - mmengine - INFO - Epoch(train) [227][5/63] lr: 5.8005e-03 eta: 15:38:17 time: 0.9248 data_time: 0.2287 memory: 14974 loss_prob: 0.8128 loss_thr: 0.5031 loss_db: 0.1346 loss: 1.4505 08/28 17:38:28 - mmengine - INFO - Epoch(train) [227][10/63] lr: 5.8005e-03 eta: 15:37:54 time: 0.9283 data_time: 0.1896 memory: 14974 loss_prob: 0.8305 loss_thr: 0.4999 loss_db: 0.1392 loss: 1.4696 08/28 17:38:33 - mmengine - INFO - Epoch(train) [227][15/63] lr: 5.8005e-03 eta: 15:37:54 time: 0.8824 data_time: 0.1170 memory: 14974 loss_prob: 0.7831 loss_thr: 0.4827 loss_db: 0.1303 loss: 1.3961 08/28 17:38:38 - mmengine - INFO - Epoch(train) [227][20/63] lr: 5.8005e-03 eta: 15:37:47 time: 0.9899 data_time: 0.1211 memory: 14974 loss_prob: 0.7119 loss_thr: 0.4608 loss_db: 0.1204 loss: 1.2931 08/28 17:38:43 - mmengine - INFO - Epoch(train) [227][25/63] lr: 5.8005e-03 eta: 15:37:47 time: 0.9730 data_time: 0.1345 memory: 14974 loss_prob: 0.7766 loss_thr: 0.4949 loss_db: 0.1314 loss: 1.4029 08/28 17:38:47 - mmengine - INFO - Epoch(train) [227][30/63] lr: 5.8005e-03 eta: 15:37:35 time: 0.8440 data_time: 0.1154 memory: 14974 loss_prob: 0.8399 loss_thr: 0.5133 loss_db: 0.1386 loss: 1.4918 08/28 17:38:51 - mmengine - INFO - Epoch(train) [227][35/63] lr: 5.8005e-03 eta: 15:37:35 time: 0.8105 data_time: 0.0676 memory: 14974 loss_prob: 0.9197 loss_thr: 0.5408 loss_db: 0.1496 loss: 1.6101 08/28 17:38:56 - mmengine - INFO - Epoch(train) [227][40/63] lr: 5.8005e-03 eta: 15:37:27 time: 0.9424 data_time: 0.1014 memory: 14974 loss_prob: 0.8647 loss_thr: 0.5349 loss_db: 0.1442 loss: 1.5438 08/28 17:39:00 - mmengine - INFO - Epoch(train) [227][45/63] lr: 5.8005e-03 eta: 15:37:27 time: 0.9308 data_time: 0.0899 memory: 14974 loss_prob: 0.8051 loss_thr: 0.4933 loss_db: 0.1342 loss: 1.4326 08/28 17:39:04 - mmengine - INFO - Epoch(train) [227][50/63] lr: 5.8005e-03 eta: 15:37:13 time: 0.7992 data_time: 0.0510 memory: 14974 loss_prob: 0.8227 loss_thr: 0.4794 loss_db: 0.1365 loss: 1.4386 08/28 17:39:09 - mmengine - INFO - Epoch(train) [227][55/63] lr: 5.8005e-03 eta: 15:37:13 time: 0.8429 data_time: 0.0711 memory: 14974 loss_prob: 0.8157 loss_thr: 0.4889 loss_db: 0.1377 loss: 1.4423 08/28 17:39:12 - mmengine - INFO - Epoch(train) [227][60/63] lr: 5.8005e-03 eta: 15:37:01 time: 0.8481 data_time: 0.0811 memory: 14974 loss_prob: 0.8280 loss_thr: 0.5121 loss_db: 0.1386 loss: 1.4787 08/28 17:39:14 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:39:20 - mmengine - INFO - Epoch(train) [228][5/63] lr: 5.7951e-03 eta: 15:37:01 time: 0.9118 data_time: 0.1899 memory: 14974 loss_prob: 0.8975 loss_thr: 0.5339 loss_db: 0.1448 loss: 1.5761 08/28 17:39:24 - mmengine - INFO - Epoch(train) [228][10/63] lr: 5.7951e-03 eta: 15:36:39 time: 0.9684 data_time: 0.2147 memory: 14974 loss_prob: 0.8810 loss_thr: 0.5161 loss_db: 0.1429 loss: 1.5400 08/28 17:39:29 - mmengine - INFO - Epoch(train) [228][15/63] lr: 5.7951e-03 eta: 15:36:39 time: 0.8748 data_time: 0.0638 memory: 14974 loss_prob: 0.7878 loss_thr: 0.4764 loss_db: 0.1346 loss: 1.3987 08/28 17:39:33 - mmengine - INFO - Epoch(train) [228][20/63] lr: 5.7951e-03 eta: 15:36:28 time: 0.8772 data_time: 0.0472 memory: 14974 loss_prob: 0.8031 loss_thr: 0.4867 loss_db: 0.1318 loss: 1.4216 08/28 17:39:37 - mmengine - INFO - Epoch(train) [228][25/63] lr: 5.7951e-03 eta: 15:36:28 time: 0.8491 data_time: 0.0966 memory: 14974 loss_prob: 0.8347 loss_thr: 0.5044 loss_db: 0.1394 loss: 1.4785 08/28 17:39:41 - mmengine - INFO - Epoch(train) [228][30/63] lr: 5.7951e-03 eta: 15:36:16 time: 0.8434 data_time: 0.1011 memory: 14974 loss_prob: 0.8145 loss_thr: 0.5050 loss_db: 0.1399 loss: 1.4593 08/28 17:39:45 - mmengine - INFO - Epoch(train) [228][35/63] lr: 5.7951e-03 eta: 15:36:16 time: 0.8109 data_time: 0.0778 memory: 14974 loss_prob: 0.7810 loss_thr: 0.4933 loss_db: 0.1315 loss: 1.4058 08/28 17:39:51 - mmengine - INFO - Epoch(train) [228][40/63] lr: 5.7951e-03 eta: 15:36:08 time: 0.9373 data_time: 0.1247 memory: 14974 loss_prob: 0.7724 loss_thr: 0.4980 loss_db: 0.1297 loss: 1.4001 08/28 17:39:55 - mmengine - INFO - Epoch(train) [228][45/63] lr: 5.7951e-03 eta: 15:36:08 time: 0.9811 data_time: 0.1172 memory: 14974 loss_prob: 0.8144 loss_thr: 0.4964 loss_db: 0.1336 loss: 1.4443 08/28 17:40:00 - mmengine - INFO - Epoch(train) [228][50/63] lr: 5.7951e-03 eta: 15:36:01 time: 0.9687 data_time: 0.0685 memory: 14974 loss_prob: 0.8392 loss_thr: 0.5233 loss_db: 0.1371 loss: 1.4997 08/28 17:40:05 - mmengine - INFO - Epoch(train) [228][55/63] lr: 5.7951e-03 eta: 15:36:01 time: 0.9788 data_time: 0.1301 memory: 14974 loss_prob: 0.9158 loss_thr: 0.5238 loss_db: 0.1438 loss: 1.5834 08/28 17:40:10 - mmengine - INFO - Epoch(train) [228][60/63] lr: 5.7951e-03 eta: 15:35:51 time: 0.9092 data_time: 0.1354 memory: 14974 loss_prob: 0.9264 loss_thr: 0.5026 loss_db: 0.1442 loss: 1.5732 08/28 17:40:12 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:40:18 - mmengine - INFO - Epoch(train) [229][5/63] lr: 5.7897e-03 eta: 15:35:51 time: 1.0545 data_time: 0.2059 memory: 14974 loss_prob: 0.8420 loss_thr: 0.5071 loss_db: 0.1403 loss: 1.4893 08/28 17:40:22 - mmengine - INFO - Epoch(train) [229][10/63] lr: 5.7897e-03 eta: 15:35:33 time: 1.0411 data_time: 0.2237 memory: 14974 loss_prob: 0.7707 loss_thr: 0.4924 loss_db: 0.1273 loss: 1.3904 08/28 17:40:27 - mmengine - INFO - Epoch(train) [229][15/63] lr: 5.7897e-03 eta: 15:35:33 time: 0.9294 data_time: 0.0815 memory: 14974 loss_prob: 0.8055 loss_thr: 0.5067 loss_db: 0.1358 loss: 1.4480 08/28 17:40:31 - mmengine - INFO - Epoch(train) [229][20/63] lr: 5.7897e-03 eta: 15:35:24 time: 0.9168 data_time: 0.0598 memory: 14974 loss_prob: 0.7898 loss_thr: 0.4956 loss_db: 0.1324 loss: 1.4178 08/28 17:40:36 - mmengine - INFO - Epoch(train) [229][25/63] lr: 5.7897e-03 eta: 15:35:24 time: 0.8403 data_time: 0.1081 memory: 14974 loss_prob: 0.7799 loss_thr: 0.4862 loss_db: 0.1285 loss: 1.3946 08/28 17:40:40 - mmengine - INFO - Epoch(train) [229][30/63] lr: 5.7897e-03 eta: 15:35:11 time: 0.8391 data_time: 0.1090 memory: 14974 loss_prob: 0.8382 loss_thr: 0.4983 loss_db: 0.1403 loss: 1.4768 08/28 17:40:44 - mmengine - INFO - Epoch(train) [229][35/63] lr: 5.7897e-03 eta: 15:35:11 time: 0.8046 data_time: 0.0605 memory: 14974 loss_prob: 0.7575 loss_thr: 0.4550 loss_db: 0.1280 loss: 1.3404 08/28 17:40:48 - mmengine - INFO - Epoch(train) [229][40/63] lr: 5.7897e-03 eta: 15:34:58 time: 0.8241 data_time: 0.0701 memory: 14974 loss_prob: 0.6797 loss_thr: 0.4375 loss_db: 0.1131 loss: 1.2303 08/28 17:40:52 - mmengine - INFO - Epoch(train) [229][45/63] lr: 5.7897e-03 eta: 15:34:58 time: 0.8245 data_time: 0.0736 memory: 14974 loss_prob: 0.7545 loss_thr: 0.4808 loss_db: 0.1275 loss: 1.3627 08/28 17:40:56 - mmengine - INFO - Epoch(train) [229][50/63] lr: 5.7897e-03 eta: 15:34:44 time: 0.7905 data_time: 0.0513 memory: 14974 loss_prob: 0.7879 loss_thr: 0.4834 loss_db: 0.1338 loss: 1.4051 08/28 17:41:01 - mmengine - INFO - Epoch(train) [229][55/63] lr: 5.7897e-03 eta: 15:34:44 time: 0.8452 data_time: 0.1124 memory: 14974 loss_prob: 0.7685 loss_thr: 0.5040 loss_db: 0.1290 loss: 1.4016 08/28 17:41:05 - mmengine - INFO - Epoch(train) [229][60/63] lr: 5.7897e-03 eta: 15:34:32 time: 0.8549 data_time: 0.1298 memory: 14974 loss_prob: 0.7499 loss_thr: 0.5035 loss_db: 0.1252 loss: 1.3785 08/28 17:41:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:41:13 - mmengine - INFO - Epoch(train) [230][5/63] lr: 5.7844e-03 eta: 15:34:32 time: 0.9496 data_time: 0.1938 memory: 14974 loss_prob: 0.8032 loss_thr: 0.5125 loss_db: 0.1306 loss: 1.4462 08/28 17:41:18 - mmengine - INFO - Epoch(train) [230][10/63] lr: 5.7844e-03 eta: 15:34:19 time: 1.1578 data_time: 0.2644 memory: 14974 loss_prob: 0.8322 loss_thr: 0.5290 loss_db: 0.1384 loss: 1.4996 08/28 17:41:23 - mmengine - INFO - Epoch(train) [230][15/63] lr: 5.7844e-03 eta: 15:34:19 time: 1.0282 data_time: 0.1302 memory: 14974 loss_prob: 0.7595 loss_thr: 0.5046 loss_db: 0.1279 loss: 1.3920 08/28 17:41:27 - mmengine - INFO - Epoch(train) [230][20/63] lr: 5.7844e-03 eta: 15:34:10 time: 0.9208 data_time: 0.1249 memory: 14974 loss_prob: 0.9254 loss_thr: 0.5105 loss_db: 0.1386 loss: 1.5745 08/28 17:41:33 - mmengine - INFO - Epoch(train) [230][25/63] lr: 5.7844e-03 eta: 15:34:10 time: 0.9744 data_time: 0.1537 memory: 14974 loss_prob: 0.9325 loss_thr: 0.4955 loss_db: 0.1425 loss: 1.5705 08/28 17:41:38 - mmengine - INFO - Epoch(train) [230][30/63] lr: 5.7844e-03 eta: 15:34:06 time: 1.0419 data_time: 0.0837 memory: 14974 loss_prob: 0.7250 loss_thr: 0.4785 loss_db: 0.1221 loss: 1.3256 08/28 17:41:42 - mmengine - INFO - Epoch(train) [230][35/63] lr: 5.7844e-03 eta: 15:34:06 time: 0.9433 data_time: 0.0844 memory: 14974 loss_prob: 0.7788 loss_thr: 0.4792 loss_db: 0.1336 loss: 1.3916 08/28 17:41:46 - mmengine - INFO - Epoch(train) [230][40/63] lr: 5.7844e-03 eta: 15:33:54 time: 0.8554 data_time: 0.0843 memory: 14974 loss_prob: 0.8310 loss_thr: 0.4898 loss_db: 0.1426 loss: 1.4634 08/28 17:41:51 - mmengine - INFO - Epoch(train) [230][45/63] lr: 5.7844e-03 eta: 15:33:54 time: 0.8747 data_time: 0.0480 memory: 14974 loss_prob: 0.7939 loss_thr: 0.5001 loss_db: 0.1297 loss: 1.4237 08/28 17:41:55 - mmengine - INFO - Epoch(train) [230][50/63] lr: 5.7844e-03 eta: 15:33:44 time: 0.8884 data_time: 0.1034 memory: 14974 loss_prob: 0.7986 loss_thr: 0.4827 loss_db: 0.1344 loss: 1.4157 08/28 17:42:00 - mmengine - INFO - Epoch(train) [230][55/63] lr: 5.7844e-03 eta: 15:33:44 time: 0.9246 data_time: 0.1066 memory: 14974 loss_prob: 0.8342 loss_thr: 0.4798 loss_db: 0.1426 loss: 1.4566 08/28 17:42:04 - mmengine - INFO - Epoch(train) [230][60/63] lr: 5.7844e-03 eta: 15:33:33 time: 0.8722 data_time: 0.0601 memory: 14974 loss_prob: 0.7931 loss_thr: 0.4948 loss_db: 0.1330 loss: 1.4210 08/28 17:42:06 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:42:12 - mmengine - INFO - Epoch(train) [231][5/63] lr: 5.7790e-03 eta: 15:33:33 time: 0.9135 data_time: 0.2120 memory: 14974 loss_prob: 0.8477 loss_thr: 0.4876 loss_db: 0.1424 loss: 1.4777 08/28 17:42:16 - mmengine - INFO - Epoch(train) [231][10/63] lr: 5.7790e-03 eta: 15:33:10 time: 0.9285 data_time: 0.1941 memory: 14974 loss_prob: 0.9541 loss_thr: 0.5103 loss_db: 0.1537 loss: 1.6181 08/28 17:42:20 - mmengine - INFO - Epoch(train) [231][15/63] lr: 5.7790e-03 eta: 15:33:10 time: 0.8656 data_time: 0.1311 memory: 14974 loss_prob: 0.8679 loss_thr: 0.5017 loss_db: 0.1428 loss: 1.5123 08/28 17:42:24 - mmengine - INFO - Epoch(train) [231][20/63] lr: 5.7790e-03 eta: 15:32:58 time: 0.8558 data_time: 0.1335 memory: 14974 loss_prob: 0.8847 loss_thr: 0.4861 loss_db: 0.1473 loss: 1.5180 08/28 17:42:29 - mmengine - INFO - Epoch(train) [231][25/63] lr: 5.7790e-03 eta: 15:32:58 time: 0.8560 data_time: 0.0802 memory: 14974 loss_prob: 0.9682 loss_thr: 0.5073 loss_db: 0.1552 loss: 1.6307 08/28 17:42:35 - mmengine - INFO - Epoch(train) [231][30/63] lr: 5.7790e-03 eta: 15:32:54 time: 1.0351 data_time: 0.1200 memory: 14974 loss_prob: 0.8760 loss_thr: 0.5043 loss_db: 0.1474 loss: 1.5277 08/28 17:42:39 - mmengine - INFO - Epoch(train) [231][35/63] lr: 5.7790e-03 eta: 15:32:54 time: 0.9660 data_time: 0.1205 memory: 14974 loss_prob: 0.7682 loss_thr: 0.4903 loss_db: 0.1317 loss: 1.3902 08/28 17:42:42 - mmengine - INFO - Epoch(train) [231][40/63] lr: 5.7790e-03 eta: 15:32:39 time: 0.7843 data_time: 0.0704 memory: 14974 loss_prob: 0.7085 loss_thr: 0.4591 loss_db: 0.1155 loss: 1.2831 08/28 17:42:48 - mmengine - INFO - Epoch(train) [231][45/63] lr: 5.7790e-03 eta: 15:32:39 time: 0.9482 data_time: 0.1259 memory: 14974 loss_prob: 0.7661 loss_thr: 0.4727 loss_db: 0.1273 loss: 1.3660 08/28 17:42:52 - mmengine - INFO - Epoch(train) [231][50/63] lr: 5.7790e-03 eta: 15:32:33 time: 0.9948 data_time: 0.1289 memory: 14974 loss_prob: 0.8067 loss_thr: 0.5001 loss_db: 0.1339 loss: 1.4407 08/28 17:42:56 - mmengine - INFO - Epoch(train) [231][55/63] lr: 5.7790e-03 eta: 15:32:33 time: 0.8171 data_time: 0.0503 memory: 14974 loss_prob: 0.8294 loss_thr: 0.4909 loss_db: 0.1354 loss: 1.4557 08/28 17:43:01 - mmengine - INFO - Epoch(train) [231][60/63] lr: 5.7790e-03 eta: 15:32:22 time: 0.8754 data_time: 0.0729 memory: 14974 loss_prob: 0.8736 loss_thr: 0.5125 loss_db: 0.1470 loss: 1.5331 08/28 17:43:03 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:43:08 - mmengine - INFO - Epoch(train) [232][5/63] lr: 5.7736e-03 eta: 15:32:22 time: 0.8810 data_time: 0.1781 memory: 14974 loss_prob: 0.8194 loss_thr: 0.5144 loss_db: 0.1361 loss: 1.4700 08/28 17:43:13 - mmengine - INFO - Epoch(train) [232][10/63] lr: 5.7736e-03 eta: 15:32:01 time: 0.9761 data_time: 0.2320 memory: 14974 loss_prob: 0.8150 loss_thr: 0.5181 loss_db: 0.1363 loss: 1.4693 08/28 17:43:17 - mmengine - INFO - Epoch(train) [232][15/63] lr: 5.7736e-03 eta: 15:32:01 time: 0.8480 data_time: 0.0993 memory: 14974 loss_prob: 0.7925 loss_thr: 0.4996 loss_db: 0.1322 loss: 1.4242 08/28 17:43:22 - mmengine - INFO - Epoch(train) [232][20/63] lr: 5.7736e-03 eta: 15:31:50 time: 0.8683 data_time: 0.0582 memory: 14974 loss_prob: 0.7615 loss_thr: 0.4959 loss_db: 0.1262 loss: 1.3836 08/28 17:43:26 - mmengine - INFO - Epoch(train) [232][25/63] lr: 5.7736e-03 eta: 15:31:50 time: 0.8954 data_time: 0.0870 memory: 14974 loss_prob: 0.7636 loss_thr: 0.4968 loss_db: 0.1259 loss: 1.3863 08/28 17:43:30 - mmengine - INFO - Epoch(train) [232][30/63] lr: 5.7736e-03 eta: 15:31:37 time: 0.8198 data_time: 0.0937 memory: 14974 loss_prob: 0.7805 loss_thr: 0.4917 loss_db: 0.1294 loss: 1.4016 08/28 17:43:34 - mmengine - INFO - Epoch(train) [232][35/63] lr: 5.7736e-03 eta: 15:31:37 time: 0.8083 data_time: 0.0896 memory: 14974 loss_prob: 0.7248 loss_thr: 0.4612 loss_db: 0.1213 loss: 1.3072 08/28 17:43:39 - mmengine - INFO - Epoch(train) [232][40/63] lr: 5.7736e-03 eta: 15:31:27 time: 0.9031 data_time: 0.1369 memory: 14974 loss_prob: 0.7694 loss_thr: 0.4743 loss_db: 0.1287 loss: 1.3724 08/28 17:43:44 - mmengine - INFO - Epoch(train) [232][45/63] lr: 5.7736e-03 eta: 15:31:27 time: 0.9515 data_time: 0.1291 memory: 14974 loss_prob: 0.8642 loss_thr: 0.5219 loss_db: 0.1448 loss: 1.5309 08/28 17:43:50 - mmengine - INFO - Epoch(train) [232][50/63] lr: 5.7736e-03 eta: 15:31:25 time: 1.0949 data_time: 0.0958 memory: 14974 loss_prob: 0.8333 loss_thr: 0.5050 loss_db: 0.1367 loss: 1.4751 08/28 17:43:54 - mmengine - INFO - Epoch(train) [232][55/63] lr: 5.7736e-03 eta: 15:31:25 time: 1.0847 data_time: 0.1363 memory: 14974 loss_prob: 0.7469 loss_thr: 0.4789 loss_db: 0.1221 loss: 1.3479 08/28 17:43:58 - mmengine - INFO - Epoch(train) [232][60/63] lr: 5.7736e-03 eta: 15:31:14 time: 0.8534 data_time: 0.1184 memory: 14974 loss_prob: 0.7676 loss_thr: 0.4751 loss_db: 0.1269 loss: 1.3695 08/28 17:44:01 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:44:07 - mmengine - INFO - Epoch(train) [233][5/63] lr: 5.7683e-03 eta: 15:31:14 time: 1.0415 data_time: 0.2205 memory: 14974 loss_prob: 0.8100 loss_thr: 0.5156 loss_db: 0.1346 loss: 1.4602 08/28 17:44:12 - mmengine - INFO - Epoch(train) [233][10/63] lr: 5.7683e-03 eta: 15:30:56 time: 1.0522 data_time: 0.2551 memory: 14974 loss_prob: 1.0305 loss_thr: 0.5735 loss_db: 0.1644 loss: 1.7684 08/28 17:44:15 - mmengine - INFO - Epoch(train) [233][15/63] lr: 5.7683e-03 eta: 15:30:56 time: 0.8049 data_time: 0.0880 memory: 14974 loss_prob: 1.0780 loss_thr: 0.5862 loss_db: 0.1753 loss: 1.8395 08/28 17:44:19 - mmengine - INFO - Epoch(train) [233][20/63] lr: 5.7683e-03 eta: 15:30:41 time: 0.7804 data_time: 0.0438 memory: 14974 loss_prob: 0.8673 loss_thr: 0.5138 loss_db: 0.1483 loss: 1.5294 08/28 17:44:24 - mmengine - INFO - Epoch(train) [233][25/63] lr: 5.7683e-03 eta: 15:30:41 time: 0.8546 data_time: 0.1124 memory: 14974 loss_prob: 0.7789 loss_thr: 0.4749 loss_db: 0.1311 loss: 1.3849 08/28 17:44:28 - mmengine - INFO - Epoch(train) [233][30/63] lr: 5.7683e-03 eta: 15:30:29 time: 0.8422 data_time: 0.1063 memory: 14974 loss_prob: 0.7138 loss_thr: 0.4534 loss_db: 0.1212 loss: 1.2884 08/28 17:44:33 - mmengine - INFO - Epoch(train) [233][35/63] lr: 5.7683e-03 eta: 15:30:29 time: 0.8751 data_time: 0.0748 memory: 14974 loss_prob: 0.7077 loss_thr: 0.4466 loss_db: 0.1219 loss: 1.2763 08/28 17:44:37 - mmengine - INFO - Epoch(train) [233][40/63] lr: 5.7683e-03 eta: 15:30:19 time: 0.9014 data_time: 0.0975 memory: 14974 loss_prob: 0.7447 loss_thr: 0.4581 loss_db: 0.1240 loss: 1.3268 08/28 17:44:41 - mmengine - INFO - Epoch(train) [233][45/63] lr: 5.7683e-03 eta: 15:30:19 time: 0.8020 data_time: 0.0663 memory: 14974 loss_prob: 0.7492 loss_thr: 0.4661 loss_db: 0.1249 loss: 1.3402 08/28 17:44:46 - mmengine - INFO - Epoch(train) [233][50/63] lr: 5.7683e-03 eta: 15:30:09 time: 0.8850 data_time: 0.0503 memory: 14974 loss_prob: 0.7691 loss_thr: 0.4849 loss_db: 0.1303 loss: 1.3843 08/28 17:44:50 - mmengine - INFO - Epoch(train) [233][55/63] lr: 5.7683e-03 eta: 15:30:09 time: 0.9345 data_time: 0.1163 memory: 14974 loss_prob: 0.8408 loss_thr: 0.5004 loss_db: 0.1372 loss: 1.4785 08/28 17:44:54 - mmengine - INFO - Epoch(train) [233][60/63] lr: 5.7683e-03 eta: 15:29:56 time: 0.8308 data_time: 0.1216 memory: 14974 loss_prob: 0.8018 loss_thr: 0.4781 loss_db: 0.1311 loss: 1.4111 08/28 17:44:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:45:02 - mmengine - INFO - Epoch(train) [234][5/63] lr: 5.7629e-03 eta: 15:29:56 time: 0.9050 data_time: 0.1903 memory: 14974 loss_prob: 0.7898 loss_thr: 0.4886 loss_db: 0.1323 loss: 1.4108 08/28 17:45:08 - mmengine - INFO - Epoch(train) [234][10/63] lr: 5.7629e-03 eta: 15:29:43 time: 1.1747 data_time: 0.2785 memory: 14974 loss_prob: 0.7632 loss_thr: 0.4950 loss_db: 0.1246 loss: 1.3828 08/28 17:45:13 - mmengine - INFO - Epoch(train) [234][15/63] lr: 5.7629e-03 eta: 15:29:43 time: 1.0991 data_time: 0.1491 memory: 14974 loss_prob: 0.7759 loss_thr: 0.4826 loss_db: 0.1295 loss: 1.3881 08/28 17:45:17 - mmengine - INFO - Epoch(train) [234][20/63] lr: 5.7629e-03 eta: 15:29:35 time: 0.9416 data_time: 0.1321 memory: 14974 loss_prob: 0.8473 loss_thr: 0.5275 loss_db: 0.1385 loss: 1.5132 08/28 17:45:22 - mmengine - INFO - Epoch(train) [234][25/63] lr: 5.7629e-03 eta: 15:29:35 time: 0.8786 data_time: 0.1430 memory: 14974 loss_prob: 0.8799 loss_thr: 0.5781 loss_db: 0.1435 loss: 1.6015 08/28 17:45:26 - mmengine - INFO - Epoch(train) [234][30/63] lr: 5.7629e-03 eta: 15:29:24 time: 0.8722 data_time: 0.0704 memory: 14974 loss_prob: 0.8130 loss_thr: 0.5409 loss_db: 0.1359 loss: 1.4898 08/28 17:45:31 - mmengine - INFO - Epoch(train) [234][35/63] lr: 5.7629e-03 eta: 15:29:24 time: 0.9308 data_time: 0.0921 memory: 14974 loss_prob: 0.7316 loss_thr: 0.4800 loss_db: 0.1213 loss: 1.3329 08/28 17:45:35 - mmengine - INFO - Epoch(train) [234][40/63] lr: 5.7629e-03 eta: 15:29:15 time: 0.9049 data_time: 0.0916 memory: 14974 loss_prob: 0.7025 loss_thr: 0.4624 loss_db: 0.1174 loss: 1.2823 08/28 17:45:40 - mmengine - INFO - Epoch(train) [234][45/63] lr: 5.7629e-03 eta: 15:29:15 time: 0.8723 data_time: 0.0461 memory: 14974 loss_prob: 0.7549 loss_thr: 0.4834 loss_db: 0.1287 loss: 1.3670 08/28 17:45:44 - mmengine - INFO - Epoch(train) [234][50/63] lr: 5.7629e-03 eta: 15:29:05 time: 0.8940 data_time: 0.1122 memory: 14974 loss_prob: 0.7870 loss_thr: 0.4821 loss_db: 0.1330 loss: 1.4021 08/28 17:45:48 - mmengine - INFO - Epoch(train) [234][55/63] lr: 5.7629e-03 eta: 15:29:05 time: 0.8385 data_time: 0.1137 memory: 14974 loss_prob: 0.8102 loss_thr: 0.4885 loss_db: 0.1304 loss: 1.4291 08/28 17:45:54 - mmengine - INFO - Epoch(train) [234][60/63] lr: 5.7629e-03 eta: 15:28:57 time: 0.9510 data_time: 0.1240 memory: 14974 loss_prob: 0.8279 loss_thr: 0.5041 loss_db: 0.1349 loss: 1.4668 08/28 17:45:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:46:01 - mmengine - INFO - Epoch(train) [235][5/63] lr: 5.7575e-03 eta: 15:28:57 time: 0.8713 data_time: 0.1946 memory: 14974 loss_prob: 0.8109 loss_thr: 0.5079 loss_db: 0.1409 loss: 1.4597 08/28 17:46:05 - mmengine - INFO - Epoch(train) [235][10/63] lr: 5.7575e-03 eta: 15:28:34 time: 0.9130 data_time: 0.1942 memory: 14974 loss_prob: 0.8132 loss_thr: 0.4958 loss_db: 0.1387 loss: 1.4477 08/28 17:46:10 - mmengine - INFO - Epoch(train) [235][15/63] lr: 5.7575e-03 eta: 15:28:34 time: 0.9639 data_time: 0.1281 memory: 14974 loss_prob: 0.8130 loss_thr: 0.4988 loss_db: 0.1379 loss: 1.4497 08/28 17:46:14 - mmengine - INFO - Epoch(train) [235][20/63] lr: 5.7575e-03 eta: 15:28:26 time: 0.9453 data_time: 0.1160 memory: 14974 loss_prob: 0.8098 loss_thr: 0.5088 loss_db: 0.1356 loss: 1.4543 08/28 17:46:18 - mmengine - INFO - Epoch(train) [235][25/63] lr: 5.7575e-03 eta: 15:28:26 time: 0.7887 data_time: 0.0648 memory: 14974 loss_prob: 0.7474 loss_thr: 0.4889 loss_db: 0.1270 loss: 1.3633 08/28 17:46:23 - mmengine - INFO - Epoch(train) [235][30/63] lr: 5.7575e-03 eta: 15:28:16 time: 0.9026 data_time: 0.0883 memory: 14974 loss_prob: 0.7784 loss_thr: 0.4986 loss_db: 0.1325 loss: 1.4095 08/28 17:46:28 - mmengine - INFO - Epoch(train) [235][35/63] lr: 5.7575e-03 eta: 15:28:16 time: 0.9531 data_time: 0.0891 memory: 14974 loss_prob: 0.7591 loss_thr: 0.4818 loss_db: 0.1236 loss: 1.3646 08/28 17:46:33 - mmengine - INFO - Epoch(train) [235][40/63] lr: 5.7575e-03 eta: 15:28:09 time: 0.9698 data_time: 0.0673 memory: 14974 loss_prob: 0.7708 loss_thr: 0.4819 loss_db: 0.1233 loss: 1.3760 08/28 17:46:38 - mmengine - INFO - Epoch(train) [235][45/63] lr: 5.7575e-03 eta: 15:28:09 time: 0.9768 data_time: 0.1285 memory: 14974 loss_prob: 0.7999 loss_thr: 0.4986 loss_db: 0.1332 loss: 1.4317 08/28 17:46:43 - mmengine - INFO - Epoch(train) [235][50/63] lr: 5.7575e-03 eta: 15:28:03 time: 0.9908 data_time: 0.1208 memory: 14974 loss_prob: 0.7845 loss_thr: 0.5130 loss_db: 0.1336 loss: 1.4311 08/28 17:46:47 - mmengine - INFO - Epoch(train) [235][55/63] lr: 5.7575e-03 eta: 15:28:03 time: 0.9266 data_time: 0.0480 memory: 14974 loss_prob: 0.7522 loss_thr: 0.5037 loss_db: 0.1291 loss: 1.3850 08/28 17:46:52 - mmengine - INFO - Epoch(train) [235][60/63] lr: 5.7575e-03 eta: 15:27:55 time: 0.9403 data_time: 0.1010 memory: 14974 loss_prob: 0.8002 loss_thr: 0.4902 loss_db: 0.1408 loss: 1.4312 08/28 17:46:55 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:47:01 - mmengine - INFO - Epoch(train) [236][5/63] lr: 5.7522e-03 eta: 15:27:55 time: 0.9853 data_time: 0.1963 memory: 14974 loss_prob: 0.8039 loss_thr: 0.4944 loss_db: 0.1337 loss: 1.4320 08/28 17:47:05 - mmengine - INFO - Epoch(train) [236][10/63] lr: 5.7522e-03 eta: 15:27:35 time: 0.9878 data_time: 0.2406 memory: 14974 loss_prob: 0.8238 loss_thr: 0.5128 loss_db: 0.1381 loss: 1.4748 08/28 17:47:11 - mmengine - INFO - Epoch(train) [236][15/63] lr: 5.7522e-03 eta: 15:27:35 time: 0.9845 data_time: 0.1115 memory: 14974 loss_prob: 0.7930 loss_thr: 0.4805 loss_db: 0.1357 loss: 1.4092 08/28 17:47:15 - mmengine - INFO - Epoch(train) [236][20/63] lr: 5.7522e-03 eta: 15:27:26 time: 0.9254 data_time: 0.0552 memory: 14974 loss_prob: 0.7661 loss_thr: 0.4693 loss_db: 0.1295 loss: 1.3649 08/28 17:47:19 - mmengine - INFO - Epoch(train) [236][25/63] lr: 5.7522e-03 eta: 15:27:26 time: 0.8112 data_time: 0.0643 memory: 14974 loss_prob: 0.8696 loss_thr: 0.5082 loss_db: 0.1429 loss: 1.5207 08/28 17:47:23 - mmengine - INFO - Epoch(train) [236][30/63] lr: 5.7522e-03 eta: 15:27:12 time: 0.8002 data_time: 0.0610 memory: 14974 loss_prob: 0.8711 loss_thr: 0.5054 loss_db: 0.1454 loss: 1.5220 08/28 17:47:27 - mmengine - INFO - Epoch(train) [236][35/63] lr: 5.7522e-03 eta: 15:27:12 time: 0.7892 data_time: 0.0609 memory: 14974 loss_prob: 0.7476 loss_thr: 0.4763 loss_db: 0.1253 loss: 1.3492 08/28 17:47:33 - mmengine - INFO - Epoch(train) [236][40/63] lr: 5.7522e-03 eta: 15:27:07 time: 1.0174 data_time: 0.1353 memory: 14974 loss_prob: 0.8030 loss_thr: 0.4917 loss_db: 0.1297 loss: 1.4243 08/28 17:47:37 - mmengine - INFO - Epoch(train) [236][45/63] lr: 5.7522e-03 eta: 15:27:07 time: 1.0269 data_time: 0.1407 memory: 14974 loss_prob: 0.8575 loss_thr: 0.5193 loss_db: 0.1403 loss: 1.5171 08/28 17:47:42 - mmengine - INFO - Epoch(train) [236][50/63] lr: 5.7522e-03 eta: 15:27:00 time: 0.9650 data_time: 0.1343 memory: 14974 loss_prob: 0.8102 loss_thr: 0.5019 loss_db: 0.1368 loss: 1.4489 08/28 17:47:47 - mmengine - INFO - Epoch(train) [236][55/63] lr: 5.7522e-03 eta: 15:27:00 time: 1.0209 data_time: 0.1215 memory: 14974 loss_prob: 0.9344 loss_thr: 0.5140 loss_db: 0.1542 loss: 1.6025 08/28 17:47:52 - mmengine - INFO - Epoch(train) [236][60/63] lr: 5.7522e-03 eta: 15:26:54 time: 0.9913 data_time: 0.1268 memory: 14974 loss_prob: 0.9108 loss_thr: 0.5009 loss_db: 0.1504 loss: 1.5622 08/28 17:47:54 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:48:01 - mmengine - INFO - Epoch(train) [237][5/63] lr: 5.7468e-03 eta: 15:26:54 time: 1.0032 data_time: 0.1871 memory: 14974 loss_prob: 0.8714 loss_thr: 0.5036 loss_db: 0.1431 loss: 1.5181 08/28 17:48:05 - mmengine - INFO - Epoch(train) [237][10/63] lr: 5.7468e-03 eta: 15:26:38 time: 1.0983 data_time: 0.2267 memory: 14974 loss_prob: 0.9134 loss_thr: 0.5028 loss_db: 0.1491 loss: 1.5652 08/28 17:48:10 - mmengine - INFO - Epoch(train) [237][15/63] lr: 5.7468e-03 eta: 15:26:38 time: 0.9427 data_time: 0.0923 memory: 14974 loss_prob: 0.9072 loss_thr: 0.4889 loss_db: 0.1472 loss: 1.5433 08/28 17:48:15 - mmengine - INFO - Epoch(train) [237][20/63] lr: 5.7468e-03 eta: 15:26:30 time: 0.9501 data_time: 0.0442 memory: 14974 loss_prob: 0.8682 loss_thr: 0.5016 loss_db: 0.1365 loss: 1.5063 08/28 17:48:19 - mmengine - INFO - Epoch(train) [237][25/63] lr: 5.7468e-03 eta: 15:26:30 time: 0.8962 data_time: 0.1040 memory: 14974 loss_prob: 0.8697 loss_thr: 0.5164 loss_db: 0.1398 loss: 1.5259 08/28 17:48:23 - mmengine - INFO - Epoch(train) [237][30/63] lr: 5.7468e-03 eta: 15:26:18 time: 0.8434 data_time: 0.1091 memory: 14974 loss_prob: 0.7978 loss_thr: 0.4943 loss_db: 0.1340 loss: 1.4261 08/28 17:48:27 - mmengine - INFO - Epoch(train) [237][35/63] lr: 5.7468e-03 eta: 15:26:18 time: 0.8119 data_time: 0.0542 memory: 14974 loss_prob: 0.8101 loss_thr: 0.4993 loss_db: 0.1363 loss: 1.4456 08/28 17:48:32 - mmengine - INFO - Epoch(train) [237][40/63] lr: 5.7468e-03 eta: 15:26:07 time: 0.8705 data_time: 0.0803 memory: 14974 loss_prob: 0.8634 loss_thr: 0.5147 loss_db: 0.1431 loss: 1.5212 08/28 17:48:36 - mmengine - INFO - Epoch(train) [237][45/63] lr: 5.7468e-03 eta: 15:26:07 time: 0.8340 data_time: 0.0742 memory: 14974 loss_prob: 0.8424 loss_thr: 0.5012 loss_db: 0.1411 loss: 1.4847 08/28 17:48:40 - mmengine - INFO - Epoch(train) [237][50/63] lr: 5.7468e-03 eta: 15:25:52 time: 0.7625 data_time: 0.0412 memory: 14974 loss_prob: 0.8763 loss_thr: 0.4974 loss_db: 0.1423 loss: 1.5160 08/28 17:48:44 - mmengine - INFO - Epoch(train) [237][55/63] lr: 5.7468e-03 eta: 15:25:52 time: 0.8569 data_time: 0.1237 memory: 14974 loss_prob: 0.9385 loss_thr: 0.5177 loss_db: 0.1510 loss: 1.6073 08/28 17:48:48 - mmengine - INFO - Epoch(train) [237][60/63] lr: 5.7468e-03 eta: 15:25:41 time: 0.8644 data_time: 0.1367 memory: 14974 loss_prob: 0.9349 loss_thr: 0.5347 loss_db: 0.1551 loss: 1.6248 08/28 17:48:51 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:48:56 - mmengine - INFO - Epoch(train) [238][5/63] lr: 5.7414e-03 eta: 15:25:41 time: 0.9769 data_time: 0.1942 memory: 14974 loss_prob: 0.8761 loss_thr: 0.5215 loss_db: 0.1486 loss: 1.5462 08/28 17:49:03 - mmengine - INFO - Epoch(train) [238][10/63] lr: 5.7414e-03 eta: 15:25:27 time: 1.1389 data_time: 0.2369 memory: 14974 loss_prob: 0.9340 loss_thr: 0.5021 loss_db: 0.1543 loss: 1.5904 08/28 17:49:07 - mmengine - INFO - Epoch(train) [238][15/63] lr: 5.7414e-03 eta: 15:25:27 time: 1.0179 data_time: 0.1303 memory: 14974 loss_prob: 0.9593 loss_thr: 0.4922 loss_db: 0.1518 loss: 1.6034 08/28 17:49:12 - mmengine - INFO - Epoch(train) [238][20/63] lr: 5.7414e-03 eta: 15:25:18 time: 0.9339 data_time: 0.1118 memory: 14974 loss_prob: 0.9842 loss_thr: 0.4709 loss_db: 0.1448 loss: 1.5999 08/28 17:49:16 - mmengine - INFO - Epoch(train) [238][25/63] lr: 5.7414e-03 eta: 15:25:18 time: 0.9489 data_time: 0.1238 memory: 14974 loss_prob: 1.0594 loss_thr: 0.5182 loss_db: 0.1640 loss: 1.7417 08/28 17:49:21 - mmengine - INFO - Epoch(train) [238][30/63] lr: 5.7414e-03 eta: 15:25:08 time: 0.8886 data_time: 0.0748 memory: 14974 loss_prob: 0.9576 loss_thr: 0.5365 loss_db: 0.1558 loss: 1.6499 08/28 17:49:25 - mmengine - INFO - Epoch(train) [238][35/63] lr: 5.7414e-03 eta: 15:25:08 time: 0.8874 data_time: 0.0777 memory: 14974 loss_prob: 0.9261 loss_thr: 0.5121 loss_db: 0.1496 loss: 1.5877 08/28 17:49:30 - mmengine - INFO - Epoch(train) [238][40/63] lr: 5.7414e-03 eta: 15:25:00 time: 0.9283 data_time: 0.0855 memory: 14974 loss_prob: 0.8575 loss_thr: 0.5048 loss_db: 0.1423 loss: 1.5046 08/28 17:49:34 - mmengine - INFO - Epoch(train) [238][45/63] lr: 5.7414e-03 eta: 15:25:00 time: 0.9058 data_time: 0.0583 memory: 14974 loss_prob: 0.7652 loss_thr: 0.4785 loss_db: 0.1250 loss: 1.3687 08/28 17:49:38 - mmengine - INFO - Epoch(train) [238][50/63] lr: 5.7414e-03 eta: 15:24:46 time: 0.8184 data_time: 0.0974 memory: 14974 loss_prob: 0.8426 loss_thr: 0.5023 loss_db: 0.1411 loss: 1.4860 08/28 17:49:43 - mmengine - INFO - Epoch(train) [238][55/63] lr: 5.7414e-03 eta: 15:24:46 time: 0.8429 data_time: 0.1108 memory: 14974 loss_prob: 0.8695 loss_thr: 0.5150 loss_db: 0.1472 loss: 1.5317 08/28 17:49:46 - mmengine - INFO - Epoch(train) [238][60/63] lr: 5.7414e-03 eta: 15:24:33 time: 0.7976 data_time: 0.0676 memory: 14974 loss_prob: 0.8768 loss_thr: 0.5336 loss_db: 0.1446 loss: 1.5550 08/28 17:49:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:49:55 - mmengine - INFO - Epoch(train) [239][5/63] lr: 5.7361e-03 eta: 15:24:33 time: 0.9635 data_time: 0.2178 memory: 14974 loss_prob: 0.9332 loss_thr: 0.5267 loss_db: 0.1512 loss: 1.6112 08/28 17:49:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:49:59 - mmengine - INFO - Epoch(train) [239][10/63] lr: 5.7361e-03 eta: 15:24:12 time: 0.9852 data_time: 0.2281 memory: 14974 loss_prob: 0.9956 loss_thr: 0.5379 loss_db: 0.1605 loss: 1.6939 08/28 17:50:03 - mmengine - INFO - Epoch(train) [239][15/63] lr: 5.7361e-03 eta: 15:24:12 time: 0.8530 data_time: 0.1283 memory: 14974 loss_prob: 0.8838 loss_thr: 0.5188 loss_db: 0.1484 loss: 1.5511 08/28 17:50:07 - mmengine - INFO - Epoch(train) [239][20/63] lr: 5.7361e-03 eta: 15:24:00 time: 0.8340 data_time: 0.1147 memory: 14974 loss_prob: 0.7232 loss_thr: 0.4675 loss_db: 0.1231 loss: 1.3138 08/28 17:50:12 - mmengine - INFO - Epoch(train) [239][25/63] lr: 5.7361e-03 eta: 15:24:00 time: 0.8620 data_time: 0.0810 memory: 14974 loss_prob: 0.7624 loss_thr: 0.4880 loss_db: 0.1275 loss: 1.3778 08/28 17:50:17 - mmengine - INFO - Epoch(train) [239][30/63] lr: 5.7361e-03 eta: 15:23:53 time: 0.9611 data_time: 0.1310 memory: 14974 loss_prob: 0.8599 loss_thr: 0.5083 loss_db: 0.1409 loss: 1.5091 08/28 17:50:21 - mmengine - INFO - Epoch(train) [239][35/63] lr: 5.7361e-03 eta: 15:23:53 time: 0.9556 data_time: 0.1198 memory: 14974 loss_prob: 0.7828 loss_thr: 0.5114 loss_db: 0.1296 loss: 1.4238 08/28 17:50:25 - mmengine - INFO - Epoch(train) [239][40/63] lr: 5.7361e-03 eta: 15:23:42 time: 0.8684 data_time: 0.0740 memory: 14974 loss_prob: 0.7448 loss_thr: 0.5253 loss_db: 0.1257 loss: 1.3958 08/28 17:50:31 - mmengine - INFO - Epoch(train) [239][45/63] lr: 5.7361e-03 eta: 15:23:42 time: 0.9795 data_time: 0.1280 memory: 14974 loss_prob: 0.8398 loss_thr: 0.5319 loss_db: 0.1412 loss: 1.5129 08/28 17:50:36 - mmengine - INFO - Epoch(train) [239][50/63] lr: 5.7361e-03 eta: 15:23:37 time: 1.0368 data_time: 0.1320 memory: 14974 loss_prob: 0.8598 loss_thr: 0.5269 loss_db: 0.1429 loss: 1.5296 08/28 17:50:40 - mmengine - INFO - Epoch(train) [239][55/63] lr: 5.7361e-03 eta: 15:23:37 time: 0.9325 data_time: 0.1025 memory: 14974 loss_prob: 0.8131 loss_thr: 0.4871 loss_db: 0.1348 loss: 1.4350 08/28 17:50:45 - mmengine - INFO - Epoch(train) [239][60/63] lr: 5.7361e-03 eta: 15:23:27 time: 0.8779 data_time: 0.0887 memory: 14974 loss_prob: 0.7643 loss_thr: 0.4668 loss_db: 0.1289 loss: 1.3600 08/28 17:50:47 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:50:52 - mmengine - INFO - Epoch(train) [240][5/63] lr: 5.7307e-03 eta: 15:23:27 time: 0.9444 data_time: 0.1856 memory: 14974 loss_prob: 0.7633 loss_thr: 0.4708 loss_db: 0.1330 loss: 1.3671 08/28 17:50:57 - mmengine - INFO - Epoch(train) [240][10/63] lr: 5.7307e-03 eta: 15:23:05 time: 0.9502 data_time: 0.2386 memory: 14974 loss_prob: 0.8099 loss_thr: 0.4829 loss_db: 0.1341 loss: 1.4269 08/28 17:51:02 - mmengine - INFO - Epoch(train) [240][15/63] lr: 5.7307e-03 eta: 15:23:05 time: 0.9238 data_time: 0.1031 memory: 14974 loss_prob: 0.8087 loss_thr: 0.4993 loss_db: 0.1304 loss: 1.4383 08/28 17:51:05 - mmengine - INFO - Epoch(train) [240][20/63] lr: 5.7307e-03 eta: 15:22:54 time: 0.8733 data_time: 0.0501 memory: 14974 loss_prob: 0.7985 loss_thr: 0.5006 loss_db: 0.1329 loss: 1.4319 08/28 17:51:10 - mmengine - INFO - Epoch(train) [240][25/63] lr: 5.7307e-03 eta: 15:22:54 time: 0.8156 data_time: 0.0750 memory: 14974 loss_prob: 0.7943 loss_thr: 0.4849 loss_db: 0.1320 loss: 1.4113 08/28 17:51:14 - mmengine - INFO - Epoch(train) [240][30/63] lr: 5.7307e-03 eta: 15:22:42 time: 0.8255 data_time: 0.0659 memory: 14974 loss_prob: 0.7705 loss_thr: 0.4729 loss_db: 0.1278 loss: 1.3712 08/28 17:51:18 - mmengine - INFO - Epoch(train) [240][35/63] lr: 5.7307e-03 eta: 15:22:42 time: 0.7912 data_time: 0.0396 memory: 14974 loss_prob: 0.7912 loss_thr: 0.4894 loss_db: 0.1318 loss: 1.4124 08/28 17:51:23 - mmengine - INFO - Epoch(train) [240][40/63] lr: 5.7307e-03 eta: 15:22:31 time: 0.8857 data_time: 0.1146 memory: 14974 loss_prob: 0.7985 loss_thr: 0.5000 loss_db: 0.1336 loss: 1.4320 08/28 17:51:27 - mmengine - INFO - Epoch(train) [240][45/63] lr: 5.7307e-03 eta: 15:22:31 time: 0.9004 data_time: 0.1348 memory: 14974 loss_prob: 0.7785 loss_thr: 0.4922 loss_db: 0.1298 loss: 1.4005 08/28 17:51:31 - mmengine - INFO - Epoch(train) [240][50/63] lr: 5.7307e-03 eta: 15:22:20 time: 0.8675 data_time: 0.0836 memory: 14974 loss_prob: 0.7569 loss_thr: 0.4870 loss_db: 0.1287 loss: 1.3725 08/28 17:51:36 - mmengine - INFO - Epoch(train) [240][55/63] lr: 5.7307e-03 eta: 15:22:20 time: 0.9323 data_time: 0.1340 memory: 14974 loss_prob: 0.7673 loss_thr: 0.4924 loss_db: 0.1324 loss: 1.3921 08/28 17:51:41 - mmengine - INFO - Epoch(train) [240][60/63] lr: 5.7307e-03 eta: 15:22:15 time: 1.0126 data_time: 0.1340 memory: 14974 loss_prob: 0.8164 loss_thr: 0.4979 loss_db: 0.1362 loss: 1.4505 08/28 17:51:44 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:51:44 - mmengine - INFO - Saving checkpoint at 240 epochs 08/28 17:51:51 - mmengine - INFO - Epoch(val) [240][5/500] eta: 15:22:15 time: 0.0917 data_time: 0.0147 memory: 14974 08/28 17:51:51 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:00:48 time: 0.0982 data_time: 0.0210 memory: 1021 08/28 17:51:51 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:00:48 time: 0.0524 data_time: 0.0085 memory: 1021 08/28 17:51:52 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:22 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 17:51:52 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:22 time: 0.0446 data_time: 0.0022 memory: 1021 08/28 17:51:52 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:22 time: 0.0478 data_time: 0.0022 memory: 1021 08/28 17:51:52 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:22 time: 0.0484 data_time: 0.0021 memory: 1021 08/28 17:51:53 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:22 time: 0.0480 data_time: 0.0022 memory: 1021 08/28 17:51:53 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:22 time: 0.0521 data_time: 0.0028 memory: 1021 08/28 17:51:53 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:24 time: 0.0550 data_time: 0.0030 memory: 1021 08/28 17:51:53 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:24 time: 0.0545 data_time: 0.0025 memory: 1021 08/28 17:51:54 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:00:20 time: 0.0476 data_time: 0.0024 memory: 1021 08/28 17:51:54 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:00:20 time: 0.0506 data_time: 0.0024 memory: 1021 08/28 17:51:54 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:24 time: 0.0575 data_time: 0.0026 memory: 1021 08/28 17:51:54 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:24 time: 0.0513 data_time: 0.0025 memory: 1021 08/28 17:51:55 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:20 time: 0.0484 data_time: 0.0023 memory: 1021 08/28 17:51:55 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:20 time: 0.0506 data_time: 0.0024 memory: 1021 08/28 17:51:55 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:21 time: 0.0524 data_time: 0.0023 memory: 1021 08/28 17:51:55 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:21 time: 0.0557 data_time: 0.0024 memory: 1021 08/28 17:51:56 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:00:22 time: 0.0550 data_time: 0.0025 memory: 1021 08/28 17:51:56 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:00:22 time: 0.0498 data_time: 0.0023 memory: 1021 08/28 17:51:56 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:19 time: 0.0500 data_time: 0.0023 memory: 1021 08/28 17:51:56 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:19 time: 0.0548 data_time: 0.0027 memory: 1021 08/28 17:51:57 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:20 time: 0.0541 data_time: 0.0026 memory: 1021 08/28 17:51:57 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:20 time: 0.0527 data_time: 0.0025 memory: 1021 08/28 17:51:57 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:19 time: 0.0517 data_time: 0.0026 memory: 1021 08/28 17:51:57 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:19 time: 0.0494 data_time: 0.0026 memory: 1021 08/28 17:51:58 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:18 time: 0.0521 data_time: 0.0026 memory: 1021 08/28 17:51:58 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:18 time: 0.0564 data_time: 0.0026 memory: 1021 08/28 17:51:58 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:19 time: 0.0560 data_time: 0.0026 memory: 1021 08/28 17:51:59 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:19 time: 0.0559 data_time: 0.0024 memory: 1021 08/28 17:51:59 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:18 time: 0.0537 data_time: 0.0030 memory: 1021 08/28 17:51:59 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:18 time: 0.0495 data_time: 0.0032 memory: 1021 08/28 17:51:59 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:15 time: 0.0475 data_time: 0.0025 memory: 1021 08/28 17:52:00 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:15 time: 0.0452 data_time: 0.0025 memory: 1021 08/28 17:52:00 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:14 time: 0.0452 data_time: 0.0025 memory: 1021 08/28 17:52:00 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:14 time: 0.0484 data_time: 0.0025 memory: 1021 08/28 17:52:00 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:00:15 time: 0.0491 data_time: 0.0024 memory: 1021 08/28 17:52:01 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:00:15 time: 0.0463 data_time: 0.0025 memory: 1021 08/28 17:52:01 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:15 time: 0.0509 data_time: 0.0026 memory: 1021 08/28 17:52:01 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:15 time: 0.0505 data_time: 0.0025 memory: 1021 08/28 17:52:01 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:12 time: 0.0440 data_time: 0.0024 memory: 1021 08/28 17:52:01 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:12 time: 0.0462 data_time: 0.0025 memory: 1021 08/28 17:52:02 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:16 time: 0.0596 data_time: 0.0024 memory: 1021 08/28 17:52:02 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:16 time: 0.0827 data_time: 0.0089 memory: 1021 08/28 17:52:03 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:18 time: 0.0683 data_time: 0.0088 memory: 1021 08/28 17:52:03 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:18 time: 0.0449 data_time: 0.0022 memory: 1021 08/28 17:52:03 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:13 time: 0.0501 data_time: 0.0054 memory: 1021 08/28 17:52:03 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:13 time: 0.0480 data_time: 0.0054 memory: 1021 08/28 17:52:03 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:11 time: 0.0452 data_time: 0.0022 memory: 1021 08/28 17:52:04 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:11 time: 0.0455 data_time: 0.0023 memory: 1021 08/28 17:52:04 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:10 time: 0.0446 data_time: 0.0021 memory: 1021 08/28 17:52:04 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:10 time: 0.0453 data_time: 0.0021 memory: 1021 08/28 17:52:04 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:10 time: 0.0458 data_time: 0.0021 memory: 1021 08/28 17:52:05 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:10 time: 0.0450 data_time: 0.0022 memory: 1021 08/28 17:52:05 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:11 time: 0.0510 data_time: 0.0025 memory: 1021 08/28 17:52:05 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:11 time: 0.0563 data_time: 0.0026 memory: 1021 08/28 17:52:05 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:11 time: 0.0540 data_time: 0.0025 memory: 1021 08/28 17:52:06 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:11 time: 0.0511 data_time: 0.0024 memory: 1021 08/28 17:52:06 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:09 time: 0.0483 data_time: 0.0024 memory: 1021 08/28 17:52:06 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:09 time: 0.0519 data_time: 0.0024 memory: 1021 08/28 17:52:06 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:09 time: 0.0515 data_time: 0.0024 memory: 1021 08/28 17:52:07 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:09 time: 0.0525 data_time: 0.0027 memory: 1021 08/28 17:52:07 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:10 time: 0.0560 data_time: 0.0029 memory: 1021 08/28 17:52:08 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:10 time: 0.1570 data_time: 0.0052 memory: 1021 08/28 17:52:09 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:26 time: 0.1543 data_time: 0.0062 memory: 1021 08/28 17:52:09 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:26 time: 0.0462 data_time: 0.0036 memory: 1021 08/28 17:52:09 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:09 time: 0.0581 data_time: 0.0024 memory: 1021 08/28 17:52:09 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:09 time: 0.0591 data_time: 0.0024 memory: 1021 08/28 17:52:10 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:07 time: 0.0491 data_time: 0.0024 memory: 1021 08/28 17:52:10 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:07 time: 0.0482 data_time: 0.0024 memory: 1021 08/28 17:52:10 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:06 time: 0.0451 data_time: 0.0022 memory: 1021 08/28 17:52:10 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:06 time: 0.0464 data_time: 0.0021 memory: 1021 08/28 17:52:11 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:05 time: 0.0438 data_time: 0.0021 memory: 1021 08/28 17:52:11 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:05 time: 0.0426 data_time: 0.0022 memory: 1021 08/28 17:52:11 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:05 time: 0.0474 data_time: 0.0025 memory: 1021 08/28 17:52:11 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:05 time: 0.0483 data_time: 0.0025 memory: 1021 08/28 17:52:11 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:05 time: 0.0458 data_time: 0.0025 memory: 1021 08/28 17:52:12 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:05 time: 0.0457 data_time: 0.0027 memory: 1021 08/28 17:52:12 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:04 time: 0.0472 data_time: 0.0026 memory: 1021 08/28 17:52:12 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:04 time: 0.0480 data_time: 0.0027 memory: 1021 08/28 17:52:12 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:04 time: 0.0485 data_time: 0.0026 memory: 1021 08/28 17:52:13 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:04 time: 0.0466 data_time: 0.0022 memory: 1021 08/28 17:52:13 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:03 time: 0.0418 data_time: 0.0020 memory: 1021 08/28 17:52:13 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:03 time: 0.0479 data_time: 0.0066 memory: 1021 08/28 17:52:13 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:03 time: 0.0497 data_time: 0.0066 memory: 1021 08/28 17:52:14 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:03 time: 0.0439 data_time: 0.0021 memory: 1021 08/28 17:52:14 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:02 time: 0.0443 data_time: 0.0020 memory: 1021 08/28 17:52:14 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:02 time: 0.0471 data_time: 0.0021 memory: 1021 08/28 17:52:14 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:02 time: 0.0484 data_time: 0.0023 memory: 1021 08/28 17:52:14 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:02 time: 0.0465 data_time: 0.0023 memory: 1021 08/28 17:52:15 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:01 time: 0.0442 data_time: 0.0024 memory: 1021 08/28 17:52:15 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:01 time: 0.0453 data_time: 0.0027 memory: 1021 08/28 17:52:15 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:01 time: 0.0476 data_time: 0.0029 memory: 1021 08/28 17:52:15 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:01 time: 0.0454 data_time: 0.0025 memory: 1021 08/28 17:52:16 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:00 time: 0.0445 data_time: 0.0022 memory: 1021 08/28 17:52:16 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:00 time: 0.0451 data_time: 0.0020 memory: 1021 08/28 17:52:16 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0465 data_time: 0.0021 memory: 1021 08/28 17:52:16 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0484 data_time: 0.0021 memory: 1021 08/28 17:52:17 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.0451 data_time: 0.0020 memory: 1021 08/28 17:52:17 - mmengine - INFO - Evaluating hmean-iou... 08/28 17:52:17 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8320, precision: 0.7067, hmean: 0.7643 08/28 17:52:17 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8320, precision: 0.7549, hmean: 0.7916 08/28 17:52:17 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8300, precision: 0.8026, hmean: 0.8161 08/28 17:52:17 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8219, precision: 0.8396, hmean: 0.8307 08/28 17:52:17 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7939, precision: 0.8875, hmean: 0.8381 08/28 17:52:17 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.5551, precision: 0.9397, hmean: 0.6979 08/28 17:52:17 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0303, precision: 0.9545, hmean: 0.0588 08/28 17:52:17 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.8875 icdar/recall: 0.7939 icdar/hmean: 0.8381 08/28 17:52:23 - mmengine - INFO - Epoch(train) [241][5/63] lr: 5.7253e-03 eta: 0:00:00 time: 1.0309 data_time: 0.2637 memory: 14974 loss_prob: 0.7284 loss_thr: 0.4646 loss_db: 0.1217 loss: 1.3147 08/28 17:52:27 - mmengine - INFO - Epoch(train) [241][10/63] lr: 5.7253e-03 eta: 15:21:55 time: 0.9836 data_time: 0.1931 memory: 14974 loss_prob: 0.7806 loss_thr: 0.5021 loss_db: 0.1304 loss: 1.4132 08/28 17:52:31 - mmengine - INFO - Epoch(train) [241][15/63] lr: 5.7253e-03 eta: 15:21:55 time: 0.7817 data_time: 0.0629 memory: 14974 loss_prob: 0.8590 loss_thr: 0.5107 loss_db: 0.1412 loss: 1.5109 08/28 17:52:35 - mmengine - INFO - Epoch(train) [241][20/63] lr: 5.7253e-03 eta: 15:21:42 time: 0.8110 data_time: 0.0747 memory: 14974 loss_prob: 0.8918 loss_thr: 0.5132 loss_db: 0.1465 loss: 1.5514 08/28 17:52:40 - mmengine - INFO - Epoch(train) [241][25/63] lr: 5.7253e-03 eta: 15:21:42 time: 0.8695 data_time: 0.0711 memory: 14974 loss_prob: 0.8135 loss_thr: 0.5038 loss_db: 0.1386 loss: 1.4560 08/28 17:52:45 - mmengine - INFO - Epoch(train) [241][30/63] lr: 5.7253e-03 eta: 15:21:33 time: 0.9201 data_time: 0.1309 memory: 14974 loss_prob: 0.8285 loss_thr: 0.4987 loss_db: 0.1422 loss: 1.4694 08/28 17:52:49 - mmengine - INFO - Epoch(train) [241][35/63] lr: 5.7253e-03 eta: 15:21:33 time: 0.9098 data_time: 0.1319 memory: 14974 loss_prob: 0.7785 loss_thr: 0.4766 loss_db: 0.1316 loss: 1.3866 08/28 17:52:54 - mmengine - INFO - Epoch(train) [241][40/63] lr: 5.7253e-03 eta: 15:21:23 time: 0.9126 data_time: 0.0672 memory: 14974 loss_prob: 0.7643 loss_thr: 0.4862 loss_db: 0.1297 loss: 1.3802 08/28 17:52:58 - mmengine - INFO - Epoch(train) [241][45/63] lr: 5.7253e-03 eta: 15:21:23 time: 0.9463 data_time: 0.1319 memory: 14974 loss_prob: 0.7456 loss_thr: 0.4832 loss_db: 0.1250 loss: 1.3538 08/28 17:53:03 - mmengine - INFO - Epoch(train) [241][50/63] lr: 5.7253e-03 eta: 15:21:15 time: 0.9397 data_time: 0.1390 memory: 14974 loss_prob: 0.7166 loss_thr: 0.4627 loss_db: 0.1188 loss: 1.2982 08/28 17:53:08 - mmengine - INFO - Epoch(train) [241][55/63] lr: 5.7253e-03 eta: 15:21:15 time: 0.9465 data_time: 0.0617 memory: 14974 loss_prob: 0.7699 loss_thr: 0.4777 loss_db: 0.1281 loss: 1.3756 08/28 17:53:13 - mmengine - INFO - Epoch(train) [241][60/63] lr: 5.7253e-03 eta: 15:21:09 time: 0.9822 data_time: 0.0932 memory: 14974 loss_prob: 0.8188 loss_thr: 0.5044 loss_db: 0.1371 loss: 1.4603 08/28 17:53:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:53:21 - mmengine - INFO - Epoch(train) [242][5/63] lr: 5.7199e-03 eta: 15:21:09 time: 0.9185 data_time: 0.1579 memory: 14974 loss_prob: 0.8736 loss_thr: 0.5183 loss_db: 0.1443 loss: 1.5362 08/28 17:53:25 - mmengine - INFO - Epoch(train) [242][10/63] lr: 5.7199e-03 eta: 15:20:50 time: 1.0157 data_time: 0.2169 memory: 14974 loss_prob: 0.7828 loss_thr: 0.4739 loss_db: 0.1325 loss: 1.3892 08/28 17:53:29 - mmengine - INFO - Epoch(train) [242][15/63] lr: 5.7199e-03 eta: 15:20:50 time: 0.8320 data_time: 0.0987 memory: 14974 loss_prob: 0.7361 loss_thr: 0.4648 loss_db: 0.1261 loss: 1.3270 08/28 17:53:33 - mmengine - INFO - Epoch(train) [242][20/63] lr: 5.7199e-03 eta: 15:20:37 time: 0.8131 data_time: 0.0584 memory: 14974 loss_prob: 0.7400 loss_thr: 0.4905 loss_db: 0.1286 loss: 1.3592 08/28 17:53:38 - mmengine - INFO - Epoch(train) [242][25/63] lr: 5.7199e-03 eta: 15:20:37 time: 0.8652 data_time: 0.1131 memory: 14974 loss_prob: 0.8320 loss_thr: 0.5181 loss_db: 0.1387 loss: 1.4888 08/28 17:53:42 - mmengine - INFO - Epoch(train) [242][30/63] lr: 5.7199e-03 eta: 15:20:24 time: 0.8328 data_time: 0.0943 memory: 14974 loss_prob: 0.8880 loss_thr: 0.5084 loss_db: 0.1447 loss: 1.5411 08/28 17:53:46 - mmengine - INFO - Epoch(train) [242][35/63] lr: 5.7199e-03 eta: 15:20:24 time: 0.7948 data_time: 0.0415 memory: 14974 loss_prob: 0.8108 loss_thr: 0.4876 loss_db: 0.1329 loss: 1.4313 08/28 17:53:50 - mmengine - INFO - Epoch(train) [242][40/63] lr: 5.7199e-03 eta: 15:20:12 time: 0.8265 data_time: 0.0698 memory: 14974 loss_prob: 0.7668 loss_thr: 0.4794 loss_db: 0.1261 loss: 1.3722 08/28 17:53:54 - mmengine - INFO - Epoch(train) [242][45/63] lr: 5.7199e-03 eta: 15:20:12 time: 0.8315 data_time: 0.0853 memory: 14974 loss_prob: 0.7296 loss_thr: 0.4781 loss_db: 0.1251 loss: 1.3328 08/28 17:53:58 - mmengine - INFO - Epoch(train) [242][50/63] lr: 5.7199e-03 eta: 15:19:59 time: 0.8203 data_time: 0.0786 memory: 14974 loss_prob: 0.7691 loss_thr: 0.4969 loss_db: 0.1309 loss: 1.3970 08/28 17:54:03 - mmengine - INFO - Epoch(train) [242][55/63] lr: 5.7199e-03 eta: 15:19:59 time: 0.8968 data_time: 0.1185 memory: 14974 loss_prob: 0.7906 loss_thr: 0.4940 loss_db: 0.1330 loss: 1.4176 08/28 17:54:07 - mmengine - INFO - Epoch(train) [242][60/63] lr: 5.7199e-03 eta: 15:19:50 time: 0.9255 data_time: 0.1448 memory: 14974 loss_prob: 0.7974 loss_thr: 0.4825 loss_db: 0.1318 loss: 1.4116 08/28 17:54:10 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:54:16 - mmengine - INFO - Epoch(train) [243][5/63] lr: 5.7146e-03 eta: 15:19:50 time: 1.0342 data_time: 0.2095 memory: 14974 loss_prob: 0.7480 loss_thr: 0.4973 loss_db: 0.1272 loss: 1.3725 08/28 17:54:21 - mmengine - INFO - Epoch(train) [243][10/63] lr: 5.7146e-03 eta: 15:19:33 time: 1.0530 data_time: 0.2681 memory: 14974 loss_prob: 0.8039 loss_thr: 0.4890 loss_db: 0.1352 loss: 1.4281 08/28 17:54:25 - mmengine - INFO - Epoch(train) [243][15/63] lr: 5.7146e-03 eta: 15:19:33 time: 0.8625 data_time: 0.1391 memory: 14974 loss_prob: 0.8739 loss_thr: 0.5179 loss_db: 0.1417 loss: 1.5335 08/28 17:54:31 - mmengine - INFO - Epoch(train) [243][20/63] lr: 5.7146e-03 eta: 15:19:28 time: 1.0224 data_time: 0.0749 memory: 14974 loss_prob: 0.9301 loss_thr: 0.5295 loss_db: 0.1533 loss: 1.6129 08/28 17:54:35 - mmengine - INFO - Epoch(train) [243][25/63] lr: 5.7146e-03 eta: 15:19:28 time: 1.0409 data_time: 0.0948 memory: 14974 loss_prob: 0.8680 loss_thr: 0.5172 loss_db: 0.1473 loss: 1.5326 08/28 17:54:39 - mmengine - INFO - Epoch(train) [243][30/63] lr: 5.7146e-03 eta: 15:19:17 time: 0.8541 data_time: 0.0860 memory: 14974 loss_prob: 0.7925 loss_thr: 0.5155 loss_db: 0.1356 loss: 1.4435 08/28 17:54:43 - mmengine - INFO - Epoch(train) [243][35/63] lr: 5.7146e-03 eta: 15:19:17 time: 0.8275 data_time: 0.0463 memory: 14974 loss_prob: 0.7981 loss_thr: 0.5176 loss_db: 0.1359 loss: 1.4516 08/28 17:54:48 - mmengine - INFO - Epoch(train) [243][40/63] lr: 5.7146e-03 eta: 15:19:04 time: 0.8306 data_time: 0.1005 memory: 14974 loss_prob: 0.8630 loss_thr: 0.5378 loss_db: 0.1423 loss: 1.5431 08/28 17:54:52 - mmengine - INFO - Epoch(train) [243][45/63] lr: 5.7146e-03 eta: 15:19:04 time: 0.8725 data_time: 0.1061 memory: 14974 loss_prob: 0.8172 loss_thr: 0.5070 loss_db: 0.1345 loss: 1.4587 08/28 17:54:56 - mmengine - INFO - Epoch(train) [243][50/63] lr: 5.7146e-03 eta: 15:18:52 time: 0.8341 data_time: 0.0567 memory: 14974 loss_prob: 0.7069 loss_thr: 0.4617 loss_db: 0.1186 loss: 1.2873 08/28 17:55:01 - mmengine - INFO - Epoch(train) [243][55/63] lr: 5.7146e-03 eta: 15:18:52 time: 0.8612 data_time: 0.0847 memory: 14974 loss_prob: 0.8293 loss_thr: 0.4714 loss_db: 0.1338 loss: 1.4346 08/28 17:55:05 - mmengine - INFO - Epoch(train) [243][60/63] lr: 5.7146e-03 eta: 15:18:40 time: 0.8556 data_time: 0.0837 memory: 14974 loss_prob: 0.9081 loss_thr: 0.4786 loss_db: 0.1413 loss: 1.5280 08/28 17:55:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:55:12 - mmengine - INFO - Epoch(train) [244][5/63] lr: 5.7092e-03 eta: 15:18:40 time: 0.8638 data_time: 0.1748 memory: 14974 loss_prob: 0.7805 loss_thr: 0.5040 loss_db: 0.1286 loss: 1.4131 08/28 17:55:16 - mmengine - INFO - Epoch(train) [244][10/63] lr: 5.7092e-03 eta: 15:18:21 time: 0.9901 data_time: 0.2676 memory: 14974 loss_prob: 0.8470 loss_thr: 0.5443 loss_db: 0.1440 loss: 1.5353 08/28 17:55:21 - mmengine - INFO - Epoch(train) [244][15/63] lr: 5.7092e-03 eta: 15:18:21 time: 0.9335 data_time: 0.1379 memory: 14974 loss_prob: 0.9413 loss_thr: 0.5243 loss_db: 0.1480 loss: 1.6136 08/28 17:55:25 - mmengine - INFO - Epoch(train) [244][20/63] lr: 5.7092e-03 eta: 15:18:10 time: 0.8672 data_time: 0.0656 memory: 14974 loss_prob: 0.8618 loss_thr: 0.5007 loss_db: 0.1355 loss: 1.4981 08/28 17:55:30 - mmengine - INFO - Epoch(train) [244][25/63] lr: 5.7092e-03 eta: 15:18:10 time: 0.9319 data_time: 0.1352 memory: 14974 loss_prob: 0.7267 loss_thr: 0.4746 loss_db: 0.1235 loss: 1.3248 08/28 17:55:35 - mmengine - INFO - Epoch(train) [244][30/63] lr: 5.7092e-03 eta: 15:18:03 time: 0.9763 data_time: 0.1234 memory: 14974 loss_prob: 0.7466 loss_thr: 0.4819 loss_db: 0.1225 loss: 1.3509 08/28 17:55:39 - mmengine - INFO - Epoch(train) [244][35/63] lr: 5.7092e-03 eta: 15:18:03 time: 0.8428 data_time: 0.0621 memory: 14974 loss_prob: 0.7832 loss_thr: 0.4972 loss_db: 0.1284 loss: 1.4089 08/28 17:55:44 - mmengine - INFO - Epoch(train) [244][40/63] lr: 5.7092e-03 eta: 15:17:54 time: 0.9158 data_time: 0.1128 memory: 14974 loss_prob: 0.7473 loss_thr: 0.4634 loss_db: 0.1246 loss: 1.3352 08/28 17:55:49 - mmengine - INFO - Epoch(train) [244][45/63] lr: 5.7092e-03 eta: 15:17:54 time: 0.9848 data_time: 0.1028 memory: 14974 loss_prob: 0.7707 loss_thr: 0.4613 loss_db: 0.1298 loss: 1.3618 08/28 17:55:53 - mmengine - INFO - Epoch(train) [244][50/63] lr: 5.7092e-03 eta: 15:17:44 time: 0.9031 data_time: 0.0509 memory: 14974 loss_prob: 0.8280 loss_thr: 0.4928 loss_db: 0.1391 loss: 1.4600 08/28 17:55:59 - mmengine - INFO - Epoch(train) [244][55/63] lr: 5.7092e-03 eta: 15:17:44 time: 0.9985 data_time: 0.0807 memory: 14974 loss_prob: 0.7800 loss_thr: 0.4905 loss_db: 0.1312 loss: 1.4017 08/28 17:56:03 - mmengine - INFO - Epoch(train) [244][60/63] lr: 5.7092e-03 eta: 15:17:37 time: 0.9557 data_time: 0.0853 memory: 14974 loss_prob: 0.7751 loss_thr: 0.4955 loss_db: 0.1303 loss: 1.4009 08/28 17:56:05 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:56:10 - mmengine - INFO - Epoch(train) [245][5/63] lr: 5.7038e-03 eta: 15:17:37 time: 0.8713 data_time: 0.1668 memory: 14974 loss_prob: 0.7946 loss_thr: 0.4914 loss_db: 0.1308 loss: 1.4168 08/28 17:56:14 - mmengine - INFO - Epoch(train) [245][10/63] lr: 5.7038e-03 eta: 15:17:16 time: 0.9661 data_time: 0.2211 memory: 14974 loss_prob: 0.8067 loss_thr: 0.5063 loss_db: 0.1368 loss: 1.4498 08/28 17:56:18 - mmengine - INFO - Epoch(train) [245][15/63] lr: 5.7038e-03 eta: 15:17:16 time: 0.8297 data_time: 0.0968 memory: 14974 loss_prob: 0.8071 loss_thr: 0.5109 loss_db: 0.1352 loss: 1.4531 08/28 17:56:23 - mmengine - INFO - Epoch(train) [245][20/63] lr: 5.7038e-03 eta: 15:17:03 time: 0.8186 data_time: 0.0547 memory: 14974 loss_prob: 0.7635 loss_thr: 0.4782 loss_db: 0.1284 loss: 1.3701 08/28 17:56:27 - mmengine - INFO - Epoch(train) [245][25/63] lr: 5.7038e-03 eta: 15:17:03 time: 0.8600 data_time: 0.0853 memory: 14974 loss_prob: 0.7156 loss_thr: 0.4537 loss_db: 0.1230 loss: 1.2922 08/28 17:56:31 - mmengine - INFO - Epoch(train) [245][30/63] lr: 5.7038e-03 eta: 15:16:51 time: 0.8328 data_time: 0.0875 memory: 14974 loss_prob: 0.8299 loss_thr: 0.4953 loss_db: 0.1377 loss: 1.4628 08/28 17:56:35 - mmengine - INFO - Epoch(train) [245][35/63] lr: 5.7038e-03 eta: 15:16:51 time: 0.7860 data_time: 0.0721 memory: 14974 loss_prob: 0.9054 loss_thr: 0.5240 loss_db: 0.1446 loss: 1.5740 08/28 17:56:39 - mmengine - INFO - Epoch(train) [245][40/63] lr: 5.7038e-03 eta: 15:16:39 time: 0.8464 data_time: 0.1316 memory: 14974 loss_prob: 0.8338 loss_thr: 0.5038 loss_db: 0.1335 loss: 1.4711 08/28 17:56:43 - mmengine - INFO - Epoch(train) [245][45/63] lr: 5.7038e-03 eta: 15:16:39 time: 0.8769 data_time: 0.1278 memory: 14974 loss_prob: 0.7287 loss_thr: 0.4641 loss_db: 0.1236 loss: 1.3164 08/28 17:56:48 - mmengine - INFO - Epoch(train) [245][50/63] lr: 5.7038e-03 eta: 15:16:29 time: 0.8922 data_time: 0.0582 memory: 14974 loss_prob: 0.7113 loss_thr: 0.4660 loss_db: 0.1219 loss: 1.2992 08/28 17:56:53 - mmengine - INFO - Epoch(train) [245][55/63] lr: 5.7038e-03 eta: 15:16:29 time: 0.9453 data_time: 0.1251 memory: 14974 loss_prob: 0.8728 loss_thr: 0.5136 loss_db: 0.1423 loss: 1.5287 08/28 17:56:57 - mmengine - INFO - Epoch(train) [245][60/63] lr: 5.7038e-03 eta: 15:16:18 time: 0.8602 data_time: 0.1318 memory: 14974 loss_prob: 0.8846 loss_thr: 0.5058 loss_db: 0.1468 loss: 1.5372 08/28 17:56:59 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:57:07 - mmengine - INFO - Epoch(train) [246][5/63] lr: 5.6984e-03 eta: 15:16:18 time: 1.1020 data_time: 0.1985 memory: 14974 loss_prob: 0.7620 loss_thr: 0.4967 loss_db: 0.1273 loss: 1.3860 08/28 17:57:11 - mmengine - INFO - Epoch(train) [246][10/63] lr: 5.6984e-03 eta: 15:16:06 time: 1.1893 data_time: 0.2483 memory: 14974 loss_prob: 0.7536 loss_thr: 0.4908 loss_db: 0.1270 loss: 1.3714 08/28 17:57:16 - mmengine - INFO - Epoch(train) [246][15/63] lr: 5.6984e-03 eta: 15:16:06 time: 0.9318 data_time: 0.1160 memory: 14974 loss_prob: 0.7175 loss_thr: 0.4622 loss_db: 0.1251 loss: 1.3049 08/28 17:57:20 - mmengine - INFO - Epoch(train) [246][20/63] lr: 5.6984e-03 eta: 15:15:56 time: 0.8935 data_time: 0.0592 memory: 14974 loss_prob: 0.8323 loss_thr: 0.4867 loss_db: 0.1372 loss: 1.4562 08/28 17:57:24 - mmengine - INFO - Epoch(train) [246][25/63] lr: 5.6984e-03 eta: 15:15:56 time: 0.8477 data_time: 0.0953 memory: 14974 loss_prob: 0.9009 loss_thr: 0.5090 loss_db: 0.1442 loss: 1.5541 08/28 17:57:28 - mmengine - INFO - Epoch(train) [246][30/63] lr: 5.6984e-03 eta: 15:15:44 time: 0.8314 data_time: 0.1039 memory: 14974 loss_prob: 0.7463 loss_thr: 0.4663 loss_db: 0.1237 loss: 1.3363 08/28 17:57:33 - mmengine - INFO - Epoch(train) [246][35/63] lr: 5.6984e-03 eta: 15:15:44 time: 0.8152 data_time: 0.0610 memory: 14974 loss_prob: 0.7926 loss_thr: 0.4904 loss_db: 0.1297 loss: 1.4127 08/28 17:57:37 - mmengine - INFO - Epoch(train) [246][40/63] lr: 5.6984e-03 eta: 15:15:32 time: 0.8350 data_time: 0.0715 memory: 14974 loss_prob: 0.8217 loss_thr: 0.5090 loss_db: 0.1379 loss: 1.4686 08/28 17:57:41 - mmengine - INFO - Epoch(train) [246][45/63] lr: 5.6984e-03 eta: 15:15:32 time: 0.7992 data_time: 0.0634 memory: 14974 loss_prob: 0.7506 loss_thr: 0.4844 loss_db: 0.1275 loss: 1.3625 08/28 17:57:45 - mmengine - INFO - Epoch(train) [246][50/63] lr: 5.6984e-03 eta: 15:15:18 time: 0.7875 data_time: 0.0494 memory: 14974 loss_prob: 0.7500 loss_thr: 0.4902 loss_db: 0.1286 loss: 1.3688 08/28 17:57:49 - mmengine - INFO - Epoch(train) [246][55/63] lr: 5.6984e-03 eta: 15:15:18 time: 0.8559 data_time: 0.1196 memory: 14974 loss_prob: 0.7074 loss_thr: 0.4662 loss_db: 0.1237 loss: 1.2974 08/28 17:57:53 - mmengine - INFO - Epoch(train) [246][60/63] lr: 5.6984e-03 eta: 15:15:08 time: 0.8962 data_time: 0.1375 memory: 14974 loss_prob: 0.7109 loss_thr: 0.4523 loss_db: 0.1187 loss: 1.2819 08/28 17:57:56 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:58:01 - mmengine - INFO - Epoch(train) [247][5/63] lr: 5.6931e-03 eta: 15:15:08 time: 0.9327 data_time: 0.1829 memory: 14974 loss_prob: 0.7244 loss_thr: 0.4667 loss_db: 0.1231 loss: 1.3142 08/28 17:58:07 - mmengine - INFO - Epoch(train) [247][10/63] lr: 5.6931e-03 eta: 15:14:54 time: 1.1331 data_time: 0.2682 memory: 14974 loss_prob: 0.9418 loss_thr: 0.5223 loss_db: 0.1561 loss: 1.6201 08/28 17:58:11 - mmengine - INFO - Epoch(train) [247][15/63] lr: 5.6931e-03 eta: 15:14:54 time: 0.9695 data_time: 0.1449 memory: 14974 loss_prob: 1.5192 loss_thr: 0.5323 loss_db: 0.2205 loss: 2.2720 08/28 17:58:15 - mmengine - INFO - Epoch(train) [247][20/63] lr: 5.6931e-03 eta: 15:14:40 time: 0.7921 data_time: 0.0591 memory: 14974 loss_prob: 1.8377 loss_thr: 0.5353 loss_db: 0.2722 loss: 2.6452 08/28 17:58:20 - mmengine - INFO - Epoch(train) [247][25/63] lr: 5.6931e-03 eta: 15:14:40 time: 0.9314 data_time: 0.1364 memory: 14974 loss_prob: 1.5391 loss_thr: 0.5702 loss_db: 0.2443 loss: 2.3536 08/28 17:58:24 - mmengine - INFO - Epoch(train) [247][30/63] lr: 5.6931e-03 eta: 15:14:33 time: 0.9592 data_time: 0.1377 memory: 14974 loss_prob: 1.2061 loss_thr: 0.5776 loss_db: 0.1915 loss: 1.9753 08/28 17:58:28 - mmengine - INFO - Epoch(train) [247][35/63] lr: 5.6931e-03 eta: 15:14:33 time: 0.8058 data_time: 0.0562 memory: 14974 loss_prob: 1.1293 loss_thr: 0.5839 loss_db: 0.1813 loss: 1.8945 08/28 17:58:33 - mmengine - INFO - Epoch(train) [247][40/63] lr: 5.6931e-03 eta: 15:14:23 time: 0.8984 data_time: 0.0897 memory: 14974 loss_prob: 1.1846 loss_thr: 0.5952 loss_db: 0.1923 loss: 1.9720 08/28 17:58:37 - mmengine - INFO - Epoch(train) [247][45/63] lr: 5.6931e-03 eta: 15:14:23 time: 0.8903 data_time: 0.0898 memory: 14974 loss_prob: 1.0833 loss_thr: 0.5861 loss_db: 0.1791 loss: 1.8486 08/28 17:58:41 - mmengine - INFO - Epoch(train) [247][50/63] lr: 5.6931e-03 eta: 15:14:09 time: 0.7720 data_time: 0.0552 memory: 14974 loss_prob: 0.9688 loss_thr: 0.5648 loss_db: 0.1632 loss: 1.6968 08/28 17:58:46 - mmengine - INFO - Epoch(train) [247][55/63] lr: 5.6931e-03 eta: 15:14:09 time: 0.8253 data_time: 0.1024 memory: 14974 loss_prob: 0.9342 loss_thr: 0.5355 loss_db: 0.1571 loss: 1.6269 08/28 17:58:50 - mmengine - INFO - Epoch(train) [247][60/63] lr: 5.6931e-03 eta: 15:13:57 time: 0.8520 data_time: 0.1032 memory: 14974 loss_prob: 0.9094 loss_thr: 0.5189 loss_db: 0.1490 loss: 1.5773 08/28 17:58:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:58:57 - mmengine - INFO - Epoch(train) [248][5/63] lr: 5.6877e-03 eta: 15:13:57 time: 0.9111 data_time: 0.1752 memory: 14974 loss_prob: 0.9139 loss_thr: 0.5387 loss_db: 0.1482 loss: 1.6008 08/28 17:59:01 - mmengine - INFO - Epoch(train) [248][10/63] lr: 5.6877e-03 eta: 15:13:35 time: 0.9240 data_time: 0.1990 memory: 14974 loss_prob: 0.8622 loss_thr: 0.5154 loss_db: 0.1425 loss: 1.5201 08/28 17:59:05 - mmengine - INFO - Epoch(train) [248][15/63] lr: 5.6877e-03 eta: 15:13:35 time: 0.8253 data_time: 0.0918 memory: 14974 loss_prob: 0.8381 loss_thr: 0.5031 loss_db: 0.1386 loss: 1.4797 08/28 17:59:09 - mmengine - INFO - Epoch(train) [248][20/63] lr: 5.6877e-03 eta: 15:13:21 time: 0.7978 data_time: 0.0722 memory: 14974 loss_prob: 0.8447 loss_thr: 0.5185 loss_db: 0.1410 loss: 1.5042 08/28 17:59:14 - mmengine - INFO - Epoch(train) [248][25/63] lr: 5.6877e-03 eta: 15:13:21 time: 0.9010 data_time: 0.1028 memory: 14974 loss_prob: 0.8035 loss_thr: 0.5134 loss_db: 0.1331 loss: 1.4500 08/28 17:59:19 - mmengine - INFO - Epoch(train) [248][30/63] lr: 5.6877e-03 eta: 15:13:13 time: 0.9242 data_time: 0.1071 memory: 14974 loss_prob: 0.7581 loss_thr: 0.5000 loss_db: 0.1259 loss: 1.3840 08/28 17:59:24 - mmengine - INFO - Epoch(train) [248][35/63] lr: 5.6877e-03 eta: 15:13:13 time: 0.9113 data_time: 0.0692 memory: 14974 loss_prob: 0.8196 loss_thr: 0.5067 loss_db: 0.1360 loss: 1.4623 08/28 17:59:28 - mmengine - INFO - Epoch(train) [248][40/63] lr: 5.6877e-03 eta: 15:13:05 time: 0.9432 data_time: 0.1125 memory: 14974 loss_prob: 0.8336 loss_thr: 0.5058 loss_db: 0.1391 loss: 1.4785 08/28 17:59:33 - mmengine - INFO - Epoch(train) [248][45/63] lr: 5.6877e-03 eta: 15:13:05 time: 0.9053 data_time: 0.1225 memory: 14974 loss_prob: 0.8033 loss_thr: 0.5039 loss_db: 0.1345 loss: 1.4418 08/28 17:59:37 - mmengine - INFO - Epoch(train) [248][50/63] lr: 5.6877e-03 eta: 15:12:55 time: 0.9076 data_time: 0.0765 memory: 14974 loss_prob: 0.7545 loss_thr: 0.4913 loss_db: 0.1271 loss: 1.3730 08/28 17:59:43 - mmengine - INFO - Epoch(train) [248][55/63] lr: 5.6877e-03 eta: 15:12:55 time: 0.9927 data_time: 0.0924 memory: 14974 loss_prob: 0.7301 loss_thr: 0.4940 loss_db: 0.1240 loss: 1.3481 08/28 17:59:46 - mmengine - INFO - Epoch(train) [248][60/63] lr: 5.6877e-03 eta: 15:12:47 time: 0.9277 data_time: 0.0836 memory: 14974 loss_prob: 0.7666 loss_thr: 0.5037 loss_db: 0.1270 loss: 1.3973 08/28 17:59:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 17:59:54 - mmengine - INFO - Epoch(train) [249][5/63] lr: 5.6823e-03 eta: 15:12:47 time: 0.8996 data_time: 0.1741 memory: 14974 loss_prob: 0.9367 loss_thr: 0.5021 loss_db: 0.1482 loss: 1.5870 08/28 17:59:58 - mmengine - INFO - Epoch(train) [249][10/63] lr: 5.6823e-03 eta: 15:12:27 time: 0.9851 data_time: 0.2410 memory: 14974 loss_prob: 0.8645 loss_thr: 0.4805 loss_db: 0.1436 loss: 1.4886 08/28 18:00:10 - mmengine - INFO - Epoch(train) [249][15/63] lr: 5.6823e-03 eta: 15:12:27 time: 1.6399 data_time: 0.1081 memory: 14974 loss_prob: 0.8078 loss_thr: 0.4951 loss_db: 0.1337 loss: 1.4366 08/28 18:00:15 - mmengine - INFO - Epoch(train) [249][20/63] lr: 5.6823e-03 eta: 15:12:46 time: 1.6494 data_time: 0.1113 memory: 14974 loss_prob: 0.9060 loss_thr: 0.5149 loss_db: 0.1510 loss: 1.5719 08/28 18:00:19 - mmengine - INFO - Epoch(train) [249][25/63] lr: 5.6823e-03 eta: 15:12:46 time: 0.8484 data_time: 0.1048 memory: 14974 loss_prob: 0.9096 loss_thr: 0.5162 loss_db: 0.1554 loss: 1.5812 08/28 18:00:23 - mmengine - INFO - Epoch(train) [249][30/63] lr: 5.6823e-03 eta: 15:12:33 time: 0.8144 data_time: 0.0352 memory: 14974 loss_prob: 0.8291 loss_thr: 0.4925 loss_db: 0.1396 loss: 1.4612 08/28 18:00:27 - mmengine - INFO - Epoch(train) [249][35/63] lr: 5.6823e-03 eta: 15:12:33 time: 0.8453 data_time: 0.0680 memory: 14974 loss_prob: 0.7670 loss_thr: 0.4852 loss_db: 0.1293 loss: 1.3815 08/28 18:00:31 - mmengine - INFO - Epoch(train) [249][40/63] lr: 5.6823e-03 eta: 15:12:20 time: 0.8059 data_time: 0.0785 memory: 14974 loss_prob: 0.7986 loss_thr: 0.4960 loss_db: 0.1368 loss: 1.4315 08/28 18:00:36 - mmengine - INFO - Epoch(train) [249][45/63] lr: 5.6823e-03 eta: 15:12:20 time: 0.8211 data_time: 0.0728 memory: 14974 loss_prob: 0.7947 loss_thr: 0.4889 loss_db: 0.1337 loss: 1.4173 08/28 18:00:40 - mmengine - INFO - Epoch(train) [249][50/63] lr: 5.6823e-03 eta: 15:12:11 time: 0.9239 data_time: 0.1372 memory: 14974 loss_prob: 0.7933 loss_thr: 0.4941 loss_db: 0.1307 loss: 1.4181 08/28 18:00:45 - mmengine - INFO - Epoch(train) [249][55/63] lr: 5.6823e-03 eta: 15:12:11 time: 0.9047 data_time: 0.1219 memory: 14974 loss_prob: 0.8544 loss_thr: 0.5112 loss_db: 0.1413 loss: 1.5069 08/28 18:00:50 - mmengine - INFO - Epoch(train) [249][60/63] lr: 5.6823e-03 eta: 15:12:04 time: 0.9661 data_time: 0.0616 memory: 14974 loss_prob: 0.7923 loss_thr: 0.4874 loss_db: 0.1312 loss: 1.4109 08/28 18:00:53 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:00:58 - mmengine - INFO - Epoch(train) [250][5/63] lr: 5.6769e-03 eta: 15:12:04 time: 1.0284 data_time: 0.2543 memory: 14974 loss_prob: 0.9863 loss_thr: 0.5496 loss_db: 0.1570 loss: 1.6929 08/28 18:01:02 - mmengine - INFO - Epoch(train) [250][10/63] lr: 5.6769e-03 eta: 15:11:44 time: 0.9597 data_time: 0.2127 memory: 14974 loss_prob: 0.8441 loss_thr: 0.5279 loss_db: 0.1426 loss: 1.5145 08/28 18:01:08 - mmengine - INFO - Epoch(train) [250][15/63] lr: 5.6769e-03 eta: 15:11:44 time: 0.9890 data_time: 0.1066 memory: 14974 loss_prob: 0.7882 loss_thr: 0.4935 loss_db: 0.1310 loss: 1.4127 08/28 18:01:12 - mmengine - INFO - Epoch(train) [250][20/63] lr: 5.6769e-03 eta: 15:11:37 time: 0.9897 data_time: 0.0858 memory: 14974 loss_prob: 0.8221 loss_thr: 0.4867 loss_db: 0.1367 loss: 1.4455 08/28 18:01:17 - mmengine - INFO - Epoch(train) [250][25/63] lr: 5.6769e-03 eta: 15:11:37 time: 0.8468 data_time: 0.0572 memory: 14974 loss_prob: 0.8343 loss_thr: 0.4893 loss_db: 0.1404 loss: 1.4640 08/28 18:01:21 - mmengine - INFO - Epoch(train) [250][30/63] lr: 5.6769e-03 eta: 15:11:25 time: 0.8354 data_time: 0.0900 memory: 14974 loss_prob: 0.8986 loss_thr: 0.5185 loss_db: 0.1503 loss: 1.5674 08/28 18:01:25 - mmengine - INFO - Epoch(train) [250][35/63] lr: 5.6769e-03 eta: 15:11:25 time: 0.8063 data_time: 0.0874 memory: 14974 loss_prob: 0.9177 loss_thr: 0.5408 loss_db: 0.1520 loss: 1.6105 08/28 18:01:29 - mmengine - INFO - Epoch(train) [250][40/63] lr: 5.6769e-03 eta: 15:11:11 time: 0.7808 data_time: 0.0554 memory: 14974 loss_prob: 0.7873 loss_thr: 0.5043 loss_db: 0.1345 loss: 1.4262 08/28 18:01:33 - mmengine - INFO - Epoch(train) [250][45/63] lr: 5.6769e-03 eta: 15:11:11 time: 0.8736 data_time: 0.1023 memory: 14974 loss_prob: 0.7555 loss_thr: 0.4680 loss_db: 0.1279 loss: 1.3515 08/28 18:01:37 - mmengine - INFO - Epoch(train) [250][50/63] lr: 5.6769e-03 eta: 15:11:00 time: 0.8626 data_time: 0.1002 memory: 14974 loss_prob: 0.8022 loss_thr: 0.4883 loss_db: 0.1314 loss: 1.4219 08/28 18:01:41 - mmengine - INFO - Epoch(train) [250][55/63] lr: 5.6769e-03 eta: 15:11:00 time: 0.7686 data_time: 0.0380 memory: 14974 loss_prob: 0.7435 loss_thr: 0.4910 loss_db: 0.1270 loss: 1.3615 08/28 18:01:46 - mmengine - INFO - Epoch(train) [250][60/63] lr: 5.6769e-03 eta: 15:10:48 time: 0.8410 data_time: 0.1053 memory: 14974 loss_prob: 0.8002 loss_thr: 0.5088 loss_db: 0.1363 loss: 1.4453 08/28 18:01:48 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:01:53 - mmengine - INFO - Epoch(train) [251][5/63] lr: 5.6716e-03 eta: 15:10:48 time: 0.8804 data_time: 0.1621 memory: 14974 loss_prob: 0.8155 loss_thr: 0.5012 loss_db: 0.1320 loss: 1.4487 08/28 18:01:57 - mmengine - INFO - Epoch(train) [251][10/63] lr: 5.6716e-03 eta: 15:10:29 time: 0.9870 data_time: 0.2341 memory: 14974 loss_prob: 0.8216 loss_thr: 0.4947 loss_db: 0.1333 loss: 1.4496 08/28 18:02:03 - mmengine - INFO - Epoch(train) [251][15/63] lr: 5.6716e-03 eta: 15:10:29 time: 1.0129 data_time: 0.1265 memory: 14974 loss_prob: 0.8184 loss_thr: 0.4995 loss_db: 0.1355 loss: 1.4534 08/28 18:02:07 - mmengine - INFO - Epoch(train) [251][20/63] lr: 5.6716e-03 eta: 15:10:23 time: 1.0001 data_time: 0.1188 memory: 14974 loss_prob: 0.8128 loss_thr: 0.5067 loss_db: 0.1339 loss: 1.4534 08/28 18:02:12 - mmengine - INFO - Epoch(train) [251][25/63] lr: 5.6716e-03 eta: 15:10:23 time: 0.8563 data_time: 0.1296 memory: 14974 loss_prob: 0.8219 loss_thr: 0.5018 loss_db: 0.1359 loss: 1.4597 08/28 18:02:16 - mmengine - INFO - Epoch(train) [251][30/63] lr: 5.6716e-03 eta: 15:10:10 time: 0.8124 data_time: 0.0781 memory: 14974 loss_prob: 0.7726 loss_thr: 0.4611 loss_db: 0.1293 loss: 1.3630 08/28 18:02:22 - mmengine - INFO - Epoch(train) [251][35/63] lr: 5.6716e-03 eta: 15:10:10 time: 1.0113 data_time: 0.1057 memory: 14974 loss_prob: 0.8683 loss_thr: 0.4977 loss_db: 0.1433 loss: 1.5093 08/28 18:02:26 - mmengine - INFO - Epoch(train) [251][40/63] lr: 5.6716e-03 eta: 15:10:04 time: 1.0048 data_time: 0.0964 memory: 14974 loss_prob: 0.8955 loss_thr: 0.5340 loss_db: 0.1472 loss: 1.5766 08/28 18:02:30 - mmengine - INFO - Epoch(train) [251][45/63] lr: 5.6716e-03 eta: 15:10:04 time: 0.8131 data_time: 0.0855 memory: 14974 loss_prob: 0.8636 loss_thr: 0.5238 loss_db: 0.1464 loss: 1.5338 08/28 18:02:34 - mmengine - INFO - Epoch(train) [251][50/63] lr: 5.6716e-03 eta: 15:09:53 time: 0.8640 data_time: 0.0755 memory: 14974 loss_prob: 0.8579 loss_thr: 0.5128 loss_db: 0.1450 loss: 1.5157 08/28 18:02:38 - mmengine - INFO - Epoch(train) [251][55/63] lr: 5.6716e-03 eta: 15:09:53 time: 0.8391 data_time: 0.0542 memory: 14974 loss_prob: 0.8698 loss_thr: 0.5244 loss_db: 0.1426 loss: 1.5368 08/28 18:02:43 - mmengine - INFO - Epoch(train) [251][60/63] lr: 5.6716e-03 eta: 15:09:41 time: 0.8345 data_time: 0.1088 memory: 14974 loss_prob: 0.8362 loss_thr: 0.5152 loss_db: 0.1394 loss: 1.4908 08/28 18:02:45 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:02:50 - mmengine - INFO - Epoch(train) [252][5/63] lr: 5.6662e-03 eta: 15:09:41 time: 0.8518 data_time: 0.1549 memory: 14974 loss_prob: 0.8791 loss_thr: 0.4975 loss_db: 0.1463 loss: 1.5228 08/28 18:02:54 - mmengine - INFO - Epoch(train) [252][10/63] lr: 5.6662e-03 eta: 15:09:20 time: 0.9252 data_time: 0.1797 memory: 14974 loss_prob: 0.8451 loss_thr: 0.4905 loss_db: 0.1384 loss: 1.4740 08/28 18:02:58 - mmengine - INFO - Epoch(train) [252][15/63] lr: 5.6662e-03 eta: 15:09:20 time: 0.8069 data_time: 0.0683 memory: 14974 loss_prob: 0.7928 loss_thr: 0.5034 loss_db: 0.1339 loss: 1.4300 08/28 18:03:02 - mmengine - INFO - Epoch(train) [252][20/63] lr: 5.6662e-03 eta: 15:09:07 time: 0.8300 data_time: 0.0573 memory: 14974 loss_prob: 0.8141 loss_thr: 0.5068 loss_db: 0.1381 loss: 1.4589 08/28 18:03:07 - mmengine - INFO - Epoch(train) [252][25/63] lr: 5.6662e-03 eta: 15:09:07 time: 0.9147 data_time: 0.1357 memory: 14974 loss_prob: 0.9379 loss_thr: 0.5391 loss_db: 0.1489 loss: 1.6259 08/28 18:03:11 - mmengine - INFO - Epoch(train) [252][30/63] lr: 5.6662e-03 eta: 15:08:57 time: 0.8673 data_time: 0.1323 memory: 14974 loss_prob: 0.9030 loss_thr: 0.5168 loss_db: 0.1479 loss: 1.5677 08/28 18:03:16 - mmengine - INFO - Epoch(train) [252][35/63] lr: 5.6662e-03 eta: 15:08:57 time: 0.8983 data_time: 0.0691 memory: 14974 loss_prob: 0.7964 loss_thr: 0.4891 loss_db: 0.1341 loss: 1.4196 08/28 18:03:21 - mmengine - INFO - Epoch(train) [252][40/63] lr: 5.6662e-03 eta: 15:08:51 time: 1.0189 data_time: 0.1306 memory: 14974 loss_prob: 0.8116 loss_thr: 0.4905 loss_db: 0.1332 loss: 1.4354 08/28 18:03:25 - mmengine - INFO - Epoch(train) [252][45/63] lr: 5.6662e-03 eta: 15:08:51 time: 0.9449 data_time: 0.1336 memory: 14974 loss_prob: 0.8105 loss_thr: 0.4914 loss_db: 0.1368 loss: 1.4387 08/28 18:03:29 - mmengine - INFO - Epoch(train) [252][50/63] lr: 5.6662e-03 eta: 15:08:38 time: 0.8075 data_time: 0.0615 memory: 14974 loss_prob: 0.7343 loss_thr: 0.4829 loss_db: 0.1255 loss: 1.3426 08/28 18:03:35 - mmengine - INFO - Epoch(train) [252][55/63] lr: 5.6662e-03 eta: 15:08:38 time: 0.9356 data_time: 0.1249 memory: 14974 loss_prob: 0.7773 loss_thr: 0.4780 loss_db: 0.1307 loss: 1.3861 08/28 18:03:39 - mmengine - INFO - Epoch(train) [252][60/63] lr: 5.6662e-03 eta: 15:08:31 time: 0.9715 data_time: 0.1258 memory: 14974 loss_prob: 0.8376 loss_thr: 0.4833 loss_db: 0.1408 loss: 1.4617 08/28 18:03:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:03:48 - mmengine - INFO - Epoch(train) [253][5/63] lr: 5.6608e-03 eta: 15:08:31 time: 1.0391 data_time: 0.1769 memory: 14974 loss_prob: 0.8358 loss_thr: 0.5005 loss_db: 0.1374 loss: 1.4737 08/28 18:03:52 - mmengine - INFO - Epoch(train) [253][10/63] lr: 5.6608e-03 eta: 15:08:15 time: 1.0652 data_time: 0.2387 memory: 14974 loss_prob: 0.8311 loss_thr: 0.5141 loss_db: 0.1400 loss: 1.4852 08/28 18:03:56 - mmengine - INFO - Epoch(train) [253][15/63] lr: 5.6608e-03 eta: 15:08:15 time: 0.8510 data_time: 0.1096 memory: 14974 loss_prob: 0.8123 loss_thr: 0.5106 loss_db: 0.1369 loss: 1.4598 08/28 18:04:00 - mmengine - INFO - Epoch(train) [253][20/63] lr: 5.6608e-03 eta: 15:08:02 time: 0.7988 data_time: 0.0524 memory: 14974 loss_prob: 0.8025 loss_thr: 0.5097 loss_db: 0.1325 loss: 1.4447 08/28 18:04:04 - mmengine - INFO - Epoch(train) [253][25/63] lr: 5.6608e-03 eta: 15:08:02 time: 0.8281 data_time: 0.0847 memory: 14974 loss_prob: 0.7058 loss_thr: 0.4530 loss_db: 0.1197 loss: 1.2785 08/28 18:04:08 - mmengine - INFO - Epoch(train) [253][30/63] lr: 5.6608e-03 eta: 15:07:49 time: 0.8129 data_time: 0.0752 memory: 14974 loss_prob: 0.7317 loss_thr: 0.4471 loss_db: 0.1239 loss: 1.3028 08/28 18:04:12 - mmengine - INFO - Epoch(train) [253][35/63] lr: 5.6608e-03 eta: 15:07:49 time: 0.7833 data_time: 0.0399 memory: 14974 loss_prob: 0.8628 loss_thr: 0.5370 loss_db: 0.1413 loss: 1.5411 08/28 18:04:17 - mmengine - INFO - Epoch(train) [253][40/63] lr: 5.6608e-03 eta: 15:07:37 time: 0.8424 data_time: 0.1129 memory: 14974 loss_prob: 0.8388 loss_thr: 0.5334 loss_db: 0.1375 loss: 1.5097 08/28 18:04:21 - mmengine - INFO - Epoch(train) [253][45/63] lr: 5.6608e-03 eta: 15:07:37 time: 0.8937 data_time: 0.1278 memory: 14974 loss_prob: 0.7579 loss_thr: 0.4815 loss_db: 0.1293 loss: 1.3687 08/28 18:04:25 - mmengine - INFO - Epoch(train) [253][50/63] lr: 5.6608e-03 eta: 15:07:25 time: 0.8496 data_time: 0.0814 memory: 14974 loss_prob: 0.7948 loss_thr: 0.4902 loss_db: 0.1357 loss: 1.4207 08/28 18:04:30 - mmengine - INFO - Epoch(train) [253][55/63] lr: 5.6608e-03 eta: 15:07:25 time: 0.8577 data_time: 0.1396 memory: 14974 loss_prob: 0.7658 loss_thr: 0.4753 loss_db: 0.1293 loss: 1.3704 08/28 18:04:35 - mmengine - INFO - Epoch(train) [253][60/63] lr: 5.6608e-03 eta: 15:07:19 time: 0.9951 data_time: 0.1362 memory: 14974 loss_prob: 0.8037 loss_thr: 0.4829 loss_db: 0.1323 loss: 1.4189 08/28 18:04:38 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:04:43 - mmengine - INFO - Epoch(train) [254][5/63] lr: 5.6554e-03 eta: 15:07:19 time: 0.9974 data_time: 0.2280 memory: 14974 loss_prob: 0.7294 loss_thr: 0.4624 loss_db: 0.1199 loss: 1.3117 08/28 18:04:47 - mmengine - INFO - Epoch(train) [254][10/63] lr: 5.6554e-03 eta: 15:06:58 time: 0.9230 data_time: 0.1789 memory: 14974 loss_prob: 0.7683 loss_thr: 0.4757 loss_db: 0.1293 loss: 1.3733 08/28 18:04:54 - mmengine - INFO - Epoch(train) [254][15/63] lr: 5.6554e-03 eta: 15:06:58 time: 1.0532 data_time: 0.1285 memory: 14974 loss_prob: 0.8083 loss_thr: 0.5018 loss_db: 0.1361 loss: 1.4462 08/28 18:04:58 - mmengine - INFO - Epoch(train) [254][20/63] lr: 5.6554e-03 eta: 15:06:53 time: 1.0374 data_time: 0.1107 memory: 14974 loss_prob: 0.8029 loss_thr: 0.4945 loss_db: 0.1328 loss: 1.4302 08/28 18:05:02 - mmengine - INFO - Epoch(train) [254][25/63] lr: 5.6554e-03 eta: 15:06:53 time: 0.8411 data_time: 0.0889 memory: 14974 loss_prob: 0.7677 loss_thr: 0.4784 loss_db: 0.1291 loss: 1.3752 08/28 18:05:06 - mmengine - INFO - Epoch(train) [254][30/63] lr: 5.6554e-03 eta: 15:06:41 time: 0.8308 data_time: 0.0801 memory: 14974 loss_prob: 0.7216 loss_thr: 0.4585 loss_db: 0.1239 loss: 1.3040 08/28 18:05:10 - mmengine - INFO - Epoch(train) [254][35/63] lr: 5.6554e-03 eta: 15:06:41 time: 0.7910 data_time: 0.0566 memory: 14974 loss_prob: 0.7583 loss_thr: 0.4704 loss_db: 0.1260 loss: 1.3547 08/28 18:05:15 - mmengine - INFO - Epoch(train) [254][40/63] lr: 5.6554e-03 eta: 15:06:31 time: 0.8778 data_time: 0.1096 memory: 14974 loss_prob: 0.7636 loss_thr: 0.4894 loss_db: 0.1280 loss: 1.3809 08/28 18:05:19 - mmengine - INFO - Epoch(train) [254][45/63] lr: 5.6554e-03 eta: 15:06:31 time: 0.8641 data_time: 0.1018 memory: 14974 loss_prob: 0.8214 loss_thr: 0.4997 loss_db: 0.1396 loss: 1.4607 08/28 18:05:23 - mmengine - INFO - Epoch(train) [254][50/63] lr: 5.6554e-03 eta: 15:06:17 time: 0.7856 data_time: 0.0559 memory: 14974 loss_prob: 0.8759 loss_thr: 0.4973 loss_db: 0.1432 loss: 1.5164 08/28 18:05:27 - mmengine - INFO - Epoch(train) [254][55/63] lr: 5.6554e-03 eta: 15:06:17 time: 0.8041 data_time: 0.0678 memory: 14974 loss_prob: 0.9095 loss_thr: 0.4994 loss_db: 0.1414 loss: 1.5503 08/28 18:05:31 - mmengine - INFO - Epoch(train) [254][60/63] lr: 5.6554e-03 eta: 15:06:05 time: 0.8402 data_time: 0.0713 memory: 14974 loss_prob: 0.9511 loss_thr: 0.5241 loss_db: 0.1530 loss: 1.6282 08/28 18:05:32 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:05:33 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:05:39 - mmengine - INFO - Epoch(train) [255][5/63] lr: 5.6500e-03 eta: 15:06:05 time: 0.9511 data_time: 0.1951 memory: 14974 loss_prob: 0.8483 loss_thr: 0.5211 loss_db: 0.1398 loss: 1.5092 08/28 18:05:43 - mmengine - INFO - Epoch(train) [255][10/63] lr: 5.6500e-03 eta: 15:05:45 time: 0.9758 data_time: 0.2276 memory: 14974 loss_prob: 0.7879 loss_thr: 0.5037 loss_db: 0.1325 loss: 1.4241 08/28 18:05:48 - mmengine - INFO - Epoch(train) [255][15/63] lr: 5.6500e-03 eta: 15:05:45 time: 0.9617 data_time: 0.1362 memory: 14974 loss_prob: 0.7435 loss_thr: 0.4845 loss_db: 0.1278 loss: 1.3559 08/28 18:05:54 - mmengine - INFO - Epoch(train) [255][20/63] lr: 5.6500e-03 eta: 15:05:41 time: 1.0284 data_time: 0.0874 memory: 14974 loss_prob: 0.7937 loss_thr: 0.4761 loss_db: 0.1336 loss: 1.4035 08/28 18:05:58 - mmengine - INFO - Epoch(train) [255][25/63] lr: 5.6500e-03 eta: 15:05:41 time: 0.9989 data_time: 0.1405 memory: 14974 loss_prob: 0.8345 loss_thr: 0.4922 loss_db: 0.1405 loss: 1.4671 08/28 18:06:03 - mmengine - INFO - Epoch(train) [255][30/63] lr: 5.6500e-03 eta: 15:05:32 time: 0.9309 data_time: 0.1342 memory: 14974 loss_prob: 0.7826 loss_thr: 0.4808 loss_db: 0.1355 loss: 1.3989 08/28 18:06:08 - mmengine - INFO - Epoch(train) [255][35/63] lr: 5.6500e-03 eta: 15:05:32 time: 0.9918 data_time: 0.0664 memory: 14974 loss_prob: 0.7946 loss_thr: 0.4835 loss_db: 0.1352 loss: 1.4132 08/28 18:06:13 - mmengine - INFO - Epoch(train) [255][40/63] lr: 5.6500e-03 eta: 15:05:25 time: 0.9704 data_time: 0.0998 memory: 14974 loss_prob: 0.8165 loss_thr: 0.4916 loss_db: 0.1343 loss: 1.4425 08/28 18:06:17 - mmengine - INFO - Epoch(train) [255][45/63] lr: 5.6500e-03 eta: 15:05:25 time: 0.8601 data_time: 0.0891 memory: 14974 loss_prob: 0.8463 loss_thr: 0.4932 loss_db: 0.1363 loss: 1.4759 08/28 18:06:21 - mmengine - INFO - Epoch(train) [255][50/63] lr: 5.6500e-03 eta: 15:05:14 time: 0.8674 data_time: 0.0458 memory: 14974 loss_prob: 0.8285 loss_thr: 0.4816 loss_db: 0.1322 loss: 1.4423 08/28 18:06:26 - mmengine - INFO - Epoch(train) [255][55/63] lr: 5.6500e-03 eta: 15:05:14 time: 0.8749 data_time: 0.0967 memory: 14974 loss_prob: 0.7419 loss_thr: 0.4751 loss_db: 0.1228 loss: 1.3399 08/28 18:06:29 - mmengine - INFO - Epoch(train) [255][60/63] lr: 5.6500e-03 eta: 15:05:02 time: 0.8231 data_time: 0.1039 memory: 14974 loss_prob: 0.7829 loss_thr: 0.5046 loss_db: 0.1318 loss: 1.4193 08/28 18:06:33 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:06:38 - mmengine - INFO - Epoch(train) [256][5/63] lr: 5.6447e-03 eta: 15:05:02 time: 0.9776 data_time: 0.1898 memory: 14974 loss_prob: 0.7780 loss_thr: 0.4871 loss_db: 0.1310 loss: 1.3961 08/28 18:06:42 - mmengine - INFO - Epoch(train) [256][10/63] lr: 5.6447e-03 eta: 15:04:41 time: 0.9355 data_time: 0.2111 memory: 14974 loss_prob: 0.7251 loss_thr: 0.4769 loss_db: 0.1233 loss: 1.3253 08/28 18:06:46 - mmengine - INFO - Epoch(train) [256][15/63] lr: 5.6447e-03 eta: 15:04:41 time: 0.7998 data_time: 0.0758 memory: 14974 loss_prob: 0.7452 loss_thr: 0.4750 loss_db: 0.1281 loss: 1.3483 08/28 18:06:50 - mmengine - INFO - Epoch(train) [256][20/63] lr: 5.6447e-03 eta: 15:04:28 time: 0.8002 data_time: 0.0550 memory: 14974 loss_prob: 0.7507 loss_thr: 0.4771 loss_db: 0.1219 loss: 1.3497 08/28 18:06:55 - mmengine - INFO - Epoch(train) [256][25/63] lr: 5.6447e-03 eta: 15:04:28 time: 0.9232 data_time: 0.1519 memory: 14974 loss_prob: 0.7034 loss_thr: 0.4579 loss_db: 0.1139 loss: 1.2752 08/28 18:06:59 - mmengine - INFO - Epoch(train) [256][30/63] lr: 5.6447e-03 eta: 15:04:18 time: 0.8900 data_time: 0.1441 memory: 14974 loss_prob: 0.7683 loss_thr: 0.4885 loss_db: 0.1276 loss: 1.3844 08/28 18:07:04 - mmengine - INFO - Epoch(train) [256][35/63] lr: 5.6447e-03 eta: 15:04:18 time: 0.8967 data_time: 0.0614 memory: 14974 loss_prob: 0.8094 loss_thr: 0.5082 loss_db: 0.1325 loss: 1.4501 08/28 18:07:09 - mmengine - INFO - Epoch(train) [256][40/63] lr: 5.6447e-03 eta: 15:04:12 time: 1.0057 data_time: 0.1251 memory: 14974 loss_prob: 0.7650 loss_thr: 0.4868 loss_db: 0.1244 loss: 1.3762 08/28 18:07:13 - mmengine - INFO - Epoch(train) [256][45/63] lr: 5.6447e-03 eta: 15:04:12 time: 0.9391 data_time: 0.1260 memory: 14974 loss_prob: 0.7803 loss_thr: 0.4899 loss_db: 0.1299 loss: 1.4001 08/28 18:07:17 - mmengine - INFO - Epoch(train) [256][50/63] lr: 5.6447e-03 eta: 15:04:01 time: 0.8467 data_time: 0.0740 memory: 14974 loss_prob: 0.7610 loss_thr: 0.4752 loss_db: 0.1289 loss: 1.3651 08/28 18:07:23 - mmengine - INFO - Epoch(train) [256][55/63] lr: 5.6447e-03 eta: 15:04:01 time: 1.0103 data_time: 0.1175 memory: 14974 loss_prob: 0.7430 loss_thr: 0.4755 loss_db: 0.1271 loss: 1.3456 08/28 18:07:28 - mmengine - INFO - Epoch(train) [256][60/63] lr: 5.6447e-03 eta: 15:03:58 time: 1.0822 data_time: 0.1131 memory: 14974 loss_prob: 0.7632 loss_thr: 0.4844 loss_db: 0.1280 loss: 1.3756 08/28 18:07:31 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:07:37 - mmengine - INFO - Epoch(train) [257][5/63] lr: 5.6393e-03 eta: 15:03:58 time: 1.0451 data_time: 0.2630 memory: 14974 loss_prob: 1.0196 loss_thr: 0.4999 loss_db: 0.1546 loss: 1.6742 08/28 18:07:41 - mmengine - INFO - Epoch(train) [257][10/63] lr: 5.6393e-03 eta: 15:03:39 time: 0.9974 data_time: 0.2342 memory: 14974 loss_prob: 0.8002 loss_thr: 0.4891 loss_db: 0.1302 loss: 1.4195 08/28 18:07:46 - mmengine - INFO - Epoch(train) [257][15/63] lr: 5.6393e-03 eta: 15:03:39 time: 0.8530 data_time: 0.1049 memory: 14974 loss_prob: 0.9020 loss_thr: 0.5011 loss_db: 0.1488 loss: 1.5519 08/28 18:07:50 - mmengine - INFO - Epoch(train) [257][20/63] lr: 5.6393e-03 eta: 15:03:28 time: 0.8505 data_time: 0.1012 memory: 14974 loss_prob: 0.9709 loss_thr: 0.5370 loss_db: 0.1649 loss: 1.6728 08/28 18:07:54 - mmengine - INFO - Epoch(train) [257][25/63] lr: 5.6393e-03 eta: 15:03:28 time: 0.8310 data_time: 0.0578 memory: 14974 loss_prob: 0.8743 loss_thr: 0.5371 loss_db: 0.1456 loss: 1.5569 08/28 18:07:58 - mmengine - INFO - Epoch(train) [257][30/63] lr: 5.6393e-03 eta: 15:03:16 time: 0.8418 data_time: 0.0671 memory: 14974 loss_prob: 1.0365 loss_thr: 0.5576 loss_db: 0.1592 loss: 1.7533 08/28 18:08:02 - mmengine - INFO - Epoch(train) [257][35/63] lr: 5.6393e-03 eta: 15:03:16 time: 0.8068 data_time: 0.0713 memory: 14974 loss_prob: 1.0038 loss_thr: 0.5487 loss_db: 0.1570 loss: 1.7095 08/28 18:08:06 - mmengine - INFO - Epoch(train) [257][40/63] lr: 5.6393e-03 eta: 15:03:02 time: 0.7966 data_time: 0.0656 memory: 14974 loss_prob: 0.7852 loss_thr: 0.4972 loss_db: 0.1331 loss: 1.4155 08/28 18:08:11 - mmengine - INFO - Epoch(train) [257][45/63] lr: 5.6393e-03 eta: 15:03:02 time: 0.9152 data_time: 0.1268 memory: 14974 loss_prob: 0.8690 loss_thr: 0.4946 loss_db: 0.1422 loss: 1.5058 08/28 18:08:16 - mmengine - INFO - Epoch(train) [257][50/63] lr: 5.6393e-03 eta: 15:02:58 time: 1.0356 data_time: 0.1768 memory: 14974 loss_prob: 0.9245 loss_thr: 0.5433 loss_db: 0.1463 loss: 1.6141 08/28 18:08:22 - mmengine - INFO - Epoch(train) [257][55/63] lr: 5.6393e-03 eta: 15:02:58 time: 1.0741 data_time: 0.1703 memory: 14974 loss_prob: 0.8520 loss_thr: 0.5511 loss_db: 0.1414 loss: 1.5444 08/28 18:08:26 - mmengine - INFO - Epoch(train) [257][60/63] lr: 5.6393e-03 eta: 15:02:50 time: 0.9567 data_time: 0.1263 memory: 14974 loss_prob: 0.7390 loss_thr: 0.4956 loss_db: 0.1256 loss: 1.3602 08/28 18:08:28 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:08:34 - mmengine - INFO - Epoch(train) [258][5/63] lr: 5.6339e-03 eta: 15:02:50 time: 0.9309 data_time: 0.1637 memory: 14974 loss_prob: 0.7435 loss_thr: 0.4656 loss_db: 0.1253 loss: 1.3344 08/28 18:08:39 - mmengine - INFO - Epoch(train) [258][10/63] lr: 5.6339e-03 eta: 15:02:35 time: 1.0981 data_time: 0.2062 memory: 14974 loss_prob: 0.7933 loss_thr: 0.4761 loss_db: 0.1335 loss: 1.4029 08/28 18:08:43 - mmengine - INFO - Epoch(train) [258][15/63] lr: 5.6339e-03 eta: 15:02:35 time: 0.9419 data_time: 0.0893 memory: 14974 loss_prob: 0.7598 loss_thr: 0.4885 loss_db: 0.1268 loss: 1.3751 08/28 18:08:48 - mmengine - INFO - Epoch(train) [258][20/63] lr: 5.6339e-03 eta: 15:02:25 time: 0.8669 data_time: 0.0497 memory: 14974 loss_prob: 0.7718 loss_thr: 0.4873 loss_db: 0.1320 loss: 1.3910 08/28 18:08:52 - mmengine - INFO - Epoch(train) [258][25/63] lr: 5.6339e-03 eta: 15:02:25 time: 0.9019 data_time: 0.1096 memory: 14974 loss_prob: 0.8489 loss_thr: 0.4782 loss_db: 0.1438 loss: 1.4709 08/28 18:08:56 - mmengine - INFO - Epoch(train) [258][30/63] lr: 5.6339e-03 eta: 15:02:13 time: 0.8445 data_time: 0.1059 memory: 14974 loss_prob: 0.8302 loss_thr: 0.4823 loss_db: 0.1376 loss: 1.4501 08/28 18:09:01 - mmengine - INFO - Epoch(train) [258][35/63] lr: 5.6339e-03 eta: 15:02:13 time: 0.8039 data_time: 0.0534 memory: 14974 loss_prob: 0.7820 loss_thr: 0.4906 loss_db: 0.1300 loss: 1.4026 08/28 18:09:05 - mmengine - INFO - Epoch(train) [258][40/63] lr: 5.6339e-03 eta: 15:02:02 time: 0.8526 data_time: 0.0798 memory: 14974 loss_prob: 0.7780 loss_thr: 0.4937 loss_db: 0.1290 loss: 1.4007 08/28 18:09:09 - mmengine - INFO - Epoch(train) [258][45/63] lr: 5.6339e-03 eta: 15:02:02 time: 0.8137 data_time: 0.0716 memory: 14974 loss_prob: 0.7589 loss_thr: 0.4815 loss_db: 0.1271 loss: 1.3675 08/28 18:09:13 - mmengine - INFO - Epoch(train) [258][50/63] lr: 5.6339e-03 eta: 15:01:47 time: 0.7653 data_time: 0.0553 memory: 14974 loss_prob: 0.7940 loss_thr: 0.4941 loss_db: 0.1324 loss: 1.4205 08/28 18:09:17 - mmengine - INFO - Epoch(train) [258][55/63] lr: 5.6339e-03 eta: 15:01:47 time: 0.8420 data_time: 0.1233 memory: 14974 loss_prob: 0.7409 loss_thr: 0.4867 loss_db: 0.1260 loss: 1.3536 08/28 18:09:22 - mmengine - INFO - Epoch(train) [258][60/63] lr: 5.6339e-03 eta: 15:01:41 time: 0.9819 data_time: 0.1237 memory: 14974 loss_prob: 0.8488 loss_thr: 0.4979 loss_db: 0.1432 loss: 1.4898 08/28 18:09:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:09:30 - mmengine - INFO - Epoch(train) [259][5/63] lr: 5.6285e-03 eta: 15:01:41 time: 1.0673 data_time: 0.1919 memory: 14974 loss_prob: 1.4466 loss_thr: 0.5877 loss_db: 0.2242 loss: 2.2585 08/28 18:09:35 - mmengine - INFO - Epoch(train) [259][10/63] lr: 5.6285e-03 eta: 15:01:25 time: 1.0739 data_time: 0.2579 memory: 14974 loss_prob: 1.4565 loss_thr: 0.6149 loss_db: 0.2190 loss: 2.2904 08/28 18:09:40 - mmengine - INFO - Epoch(train) [259][15/63] lr: 5.6285e-03 eta: 15:01:25 time: 0.9439 data_time: 0.1304 memory: 14974 loss_prob: 1.2874 loss_thr: 0.6176 loss_db: 0.2024 loss: 2.1075 08/28 18:09:44 - mmengine - INFO - Epoch(train) [259][20/63] lr: 5.6285e-03 eta: 15:01:13 time: 0.8386 data_time: 0.0701 memory: 14974 loss_prob: 1.2625 loss_thr: 0.5935 loss_db: 0.1991 loss: 2.0551 08/28 18:09:49 - mmengine - INFO - Epoch(train) [259][25/63] lr: 5.6285e-03 eta: 15:01:13 time: 0.9281 data_time: 0.1229 memory: 14974 loss_prob: 1.1135 loss_thr: 0.5693 loss_db: 0.1813 loss: 1.8642 08/28 18:09:54 - mmengine - INFO - Epoch(train) [259][30/63] lr: 5.6285e-03 eta: 15:01:08 time: 1.0232 data_time: 0.1231 memory: 14974 loss_prob: 0.9908 loss_thr: 0.5567 loss_db: 0.1671 loss: 1.7146 08/28 18:09:58 - mmengine - INFO - Epoch(train) [259][35/63] lr: 5.6285e-03 eta: 15:01:08 time: 0.9187 data_time: 0.0978 memory: 14974 loss_prob: 1.0534 loss_thr: 0.5488 loss_db: 0.1744 loss: 1.7766 08/28 18:10:02 - mmengine - INFO - Epoch(train) [259][40/63] lr: 5.6285e-03 eta: 15:00:57 time: 0.8455 data_time: 0.0797 memory: 14974 loss_prob: 1.0681 loss_thr: 0.5496 loss_db: 0.1706 loss: 1.7884 08/28 18:10:06 - mmengine - INFO - Epoch(train) [259][45/63] lr: 5.6285e-03 eta: 15:00:57 time: 0.8261 data_time: 0.0648 memory: 14974 loss_prob: 1.0372 loss_thr: 0.5395 loss_db: 0.1737 loss: 1.7505 08/28 18:10:11 - mmengine - INFO - Epoch(train) [259][50/63] lr: 5.6285e-03 eta: 15:00:46 time: 0.8619 data_time: 0.1184 memory: 14974 loss_prob: 1.1742 loss_thr: 0.5633 loss_db: 0.1939 loss: 1.9314 08/28 18:10:15 - mmengine - INFO - Epoch(train) [259][55/63] lr: 5.6285e-03 eta: 15:00:46 time: 0.8804 data_time: 0.1114 memory: 14974 loss_prob: 1.2985 loss_thr: 0.5840 loss_db: 0.2086 loss: 2.0911 08/28 18:10:19 - mmengine - INFO - Epoch(train) [259][60/63] lr: 5.6285e-03 eta: 15:00:33 time: 0.8085 data_time: 0.0600 memory: 14974 loss_prob: 1.2134 loss_thr: 0.5622 loss_db: 0.1978 loss: 1.9735 08/28 18:10:22 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:10:27 - mmengine - INFO - Epoch(train) [260][5/63] lr: 5.6231e-03 eta: 15:00:33 time: 0.9290 data_time: 0.1926 memory: 14974 loss_prob: 1.2070 loss_thr: 0.5675 loss_db: 0.1884 loss: 1.9630 08/28 18:10:31 - mmengine - INFO - Epoch(train) [260][10/63] lr: 5.6231e-03 eta: 15:00:12 time: 0.9305 data_time: 0.1952 memory: 14974 loss_prob: 1.0624 loss_thr: 0.5265 loss_db: 0.1702 loss: 1.7591 08/28 18:10:36 - mmengine - INFO - Epoch(train) [260][15/63] lr: 5.6231e-03 eta: 15:00:12 time: 0.8456 data_time: 0.1283 memory: 14974 loss_prob: 1.1809 loss_thr: 0.5750 loss_db: 0.1933 loss: 1.9492 08/28 18:10:40 - mmengine - INFO - Epoch(train) [260][20/63] lr: 5.6231e-03 eta: 15:00:01 time: 0.8558 data_time: 0.1169 memory: 14974 loss_prob: 1.1731 loss_thr: 0.5787 loss_db: 0.1846 loss: 1.9364 08/28 18:10:44 - mmengine - INFO - Epoch(train) [260][25/63] lr: 5.6231e-03 eta: 15:00:01 time: 0.8679 data_time: 0.0730 memory: 14974 loss_prob: 1.0241 loss_thr: 0.5467 loss_db: 0.1617 loss: 1.7325 08/28 18:10:50 - mmengine - INFO - Epoch(train) [260][30/63] lr: 5.6231e-03 eta: 14:59:57 time: 1.0734 data_time: 0.1266 memory: 14974 loss_prob: 0.9665 loss_thr: 0.5614 loss_db: 0.1630 loss: 1.6909 08/28 18:10:55 - mmengine - INFO - Epoch(train) [260][35/63] lr: 5.6231e-03 eta: 14:59:57 time: 1.0498 data_time: 0.1332 memory: 14974 loss_prob: 0.9397 loss_thr: 0.5373 loss_db: 0.1587 loss: 1.6357 08/28 18:10:59 - mmengine - INFO - Epoch(train) [260][40/63] lr: 5.6231e-03 eta: 14:59:47 time: 0.8858 data_time: 0.1295 memory: 14974 loss_prob: 0.9734 loss_thr: 0.5023 loss_db: 0.1583 loss: 1.6341 08/28 18:11:04 - mmengine - INFO - Epoch(train) [260][45/63] lr: 5.6231e-03 eta: 14:59:47 time: 0.8979 data_time: 0.1262 memory: 14974 loss_prob: 1.0291 loss_thr: 0.5320 loss_db: 0.1660 loss: 1.7270 08/28 18:11:08 - mmengine - INFO - Epoch(train) [260][50/63] lr: 5.6231e-03 eta: 14:59:38 time: 0.9080 data_time: 0.0747 memory: 14974 loss_prob: 1.0070 loss_thr: 0.5576 loss_db: 0.1640 loss: 1.7287 08/28 18:11:12 - mmengine - INFO - Epoch(train) [260][55/63] lr: 5.6231e-03 eta: 14:59:38 time: 0.8812 data_time: 0.0883 memory: 14974 loss_prob: 1.0388 loss_thr: 0.5712 loss_db: 0.1708 loss: 1.7809 08/28 18:11:17 - mmengine - INFO - Epoch(train) [260][60/63] lr: 5.6231e-03 eta: 14:59:28 time: 0.8774 data_time: 0.0849 memory: 14974 loss_prob: 1.1399 loss_thr: 0.5564 loss_db: 0.1876 loss: 1.8839 08/28 18:11:20 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:11:20 - mmengine - INFO - Saving checkpoint at 260 epochs 08/28 18:11:26 - mmengine - INFO - Epoch(val) [260][5/500] eta: 14:59:28 time: 0.0632 data_time: 0.0082 memory: 14974 08/28 18:11:26 - mmengine - INFO - Epoch(val) [260][10/500] eta: 0:00:33 time: 0.0689 data_time: 0.0133 memory: 1021 08/28 18:11:27 - mmengine - INFO - Epoch(val) [260][15/500] eta: 0:00:33 time: 0.0490 data_time: 0.0071 memory: 1021 08/28 18:11:27 - mmengine - INFO - Epoch(val) [260][20/500] eta: 0:00:21 time: 0.0454 data_time: 0.0021 memory: 1021 08/28 18:11:27 - mmengine - INFO - Epoch(val) [260][25/500] eta: 0:00:21 time: 0.0458 data_time: 0.0022 memory: 1021 08/28 18:11:27 - mmengine - INFO - Epoch(val) [260][30/500] eta: 0:00:22 time: 0.0472 data_time: 0.0022 memory: 1021 08/28 18:11:28 - mmengine - INFO - Epoch(val) [260][35/500] eta: 0:00:22 time: 0.0471 data_time: 0.0021 memory: 1021 08/28 18:11:28 - mmengine - INFO - Epoch(val) [260][40/500] eta: 0:00:22 time: 0.0490 data_time: 0.0023 memory: 1021 08/28 18:11:28 - mmengine - INFO - Epoch(val) [260][45/500] eta: 0:00:22 time: 0.0497 data_time: 0.0025 memory: 1021 08/28 18:11:28 - mmengine - INFO - Epoch(val) [260][50/500] eta: 0:00:20 time: 0.0460 data_time: 0.0023 memory: 1021 08/28 18:11:29 - mmengine - INFO - Epoch(val) [260][55/500] eta: 0:00:20 time: 0.0475 data_time: 0.0024 memory: 1021 08/28 18:11:29 - mmengine - INFO - Epoch(val) [260][60/500] eta: 0:00:20 time: 0.0463 data_time: 0.0023 memory: 1021 08/28 18:11:29 - mmengine - INFO - Epoch(val) [260][65/500] eta: 0:00:20 time: 0.0461 data_time: 0.0023 memory: 1021 08/28 18:11:29 - mmengine - INFO - Epoch(val) [260][70/500] eta: 0:00:20 time: 0.0481 data_time: 0.0023 memory: 1021 08/28 18:11:30 - mmengine - INFO - Epoch(val) [260][75/500] eta: 0:00:20 time: 0.0455 data_time: 0.0023 memory: 1021 08/28 18:11:30 - mmengine - INFO - Epoch(val) [260][80/500] eta: 0:00:18 time: 0.0429 data_time: 0.0023 memory: 1021 08/28 18:11:30 - mmengine - INFO - Epoch(val) [260][85/500] eta: 0:00:18 time: 0.0429 data_time: 0.0024 memory: 1021 08/28 18:11:30 - mmengine - INFO - Epoch(val) [260][90/500] eta: 0:00:19 time: 0.0483 data_time: 0.0024 memory: 1021 08/28 18:11:30 - mmengine - INFO - Epoch(val) [260][95/500] eta: 0:00:19 time: 0.0501 data_time: 0.0022 memory: 1021 08/28 18:11:31 - mmengine - INFO - Epoch(val) [260][100/500] eta: 0:00:21 time: 0.0533 data_time: 0.0026 memory: 1021 08/28 18:11:31 - mmengine - INFO - Epoch(val) [260][105/500] eta: 0:00:21 time: 0.0526 data_time: 0.0027 memory: 1021 08/28 18:11:31 - mmengine - INFO - Epoch(val) [260][110/500] eta: 0:00:17 time: 0.0448 data_time: 0.0024 memory: 1021 08/28 18:11:31 - mmengine - INFO - Epoch(val) [260][115/500] eta: 0:00:17 time: 0.0455 data_time: 0.0023 memory: 1021 08/28 18:11:32 - mmengine - INFO - Epoch(val) [260][120/500] eta: 0:00:17 time: 0.0466 data_time: 0.0024 memory: 1021 08/28 18:11:32 - mmengine - INFO - Epoch(val) [260][125/500] eta: 0:00:17 time: 0.0463 data_time: 0.0025 memory: 1021 08/28 18:11:32 - mmengine - INFO - Epoch(val) [260][130/500] eta: 0:00:16 time: 0.0451 data_time: 0.0024 memory: 1021 08/28 18:11:32 - mmengine - INFO - Epoch(val) [260][135/500] eta: 0:00:16 time: 0.0437 data_time: 0.0022 memory: 1021 08/28 18:11:33 - mmengine - INFO - Epoch(val) [260][140/500] eta: 0:00:16 time: 0.0448 data_time: 0.0022 memory: 1021 08/28 18:11:33 - mmengine - INFO - Epoch(val) [260][145/500] eta: 0:00:16 time: 0.0483 data_time: 0.0022 memory: 1021 08/28 18:11:33 - mmengine - INFO - Epoch(val) [260][150/500] eta: 0:00:17 time: 0.0487 data_time: 0.0023 memory: 1021 08/28 18:11:33 - mmengine - INFO - Epoch(val) [260][155/500] eta: 0:00:17 time: 0.0494 data_time: 0.0023 memory: 1021 08/28 18:11:34 - mmengine - INFO - Epoch(val) [260][160/500] eta: 0:00:16 time: 0.0496 data_time: 0.0023 memory: 1021 08/28 18:11:34 - mmengine - INFO - Epoch(val) [260][165/500] eta: 0:00:16 time: 0.0482 data_time: 0.0023 memory: 1021 08/28 18:11:34 - mmengine - INFO - Epoch(val) [260][170/500] eta: 0:00:15 time: 0.0483 data_time: 0.0023 memory: 1021 08/28 18:11:34 - mmengine - INFO - Epoch(val) [260][175/500] eta: 0:00:15 time: 0.0451 data_time: 0.0023 memory: 1021 08/28 18:11:34 - mmengine - INFO - Epoch(val) [260][180/500] eta: 0:00:14 time: 0.0449 data_time: 0.0026 memory: 1021 08/28 18:11:35 - mmengine - INFO - Epoch(val) [260][185/500] eta: 0:00:14 time: 0.0490 data_time: 0.0026 memory: 1021 08/28 18:11:35 - mmengine - INFO - Epoch(val) [260][190/500] eta: 0:00:15 time: 0.0502 data_time: 0.0023 memory: 1021 08/28 18:11:35 - mmengine - INFO - Epoch(val) [260][195/500] eta: 0:00:15 time: 0.0460 data_time: 0.0024 memory: 1021 08/28 18:11:36 - mmengine - INFO - Epoch(val) [260][200/500] eta: 0:00:15 time: 0.0509 data_time: 0.0023 memory: 1021 08/28 18:11:36 - mmengine - INFO - Epoch(val) [260][205/500] eta: 0:00:15 time: 0.0511 data_time: 0.0023 memory: 1021 08/28 18:11:36 - mmengine - INFO - Epoch(val) [260][210/500] eta: 0:00:12 time: 0.0433 data_time: 0.0023 memory: 1021 08/28 18:11:36 - mmengine - INFO - Epoch(val) [260][215/500] eta: 0:00:12 time: 0.0454 data_time: 0.0024 memory: 1021 08/28 18:11:36 - mmengine - INFO - Epoch(val) [260][220/500] eta: 0:00:13 time: 0.0472 data_time: 0.0024 memory: 1021 08/28 18:11:37 - mmengine - INFO - Epoch(val) [260][225/500] eta: 0:00:13 time: 0.0488 data_time: 0.0024 memory: 1021 08/28 18:11:37 - mmengine - INFO - Epoch(val) [260][230/500] eta: 0:00:12 time: 0.0468 data_time: 0.0023 memory: 1021 08/28 18:11:37 - mmengine - INFO - Epoch(val) [260][235/500] eta: 0:00:12 time: 0.0446 data_time: 0.0023 memory: 1021 08/28 18:11:37 - mmengine - INFO - Epoch(val) [260][240/500] eta: 0:00:12 time: 0.0466 data_time: 0.0023 memory: 1021 08/28 18:11:38 - mmengine - INFO - Epoch(val) [260][245/500] eta: 0:00:12 time: 0.0455 data_time: 0.0023 memory: 1021 08/28 18:11:38 - mmengine - INFO - Epoch(val) [260][250/500] eta: 0:00:11 time: 0.0456 data_time: 0.0023 memory: 1021 08/28 18:11:38 - mmengine - INFO - Epoch(val) [260][255/500] eta: 0:00:11 time: 0.0445 data_time: 0.0023 memory: 1021 08/28 18:11:38 - mmengine - INFO - Epoch(val) [260][260/500] eta: 0:00:10 time: 0.0437 data_time: 0.0023 memory: 1021 08/28 18:11:38 - mmengine - INFO - Epoch(val) [260][265/500] eta: 0:00:10 time: 0.0442 data_time: 0.0023 memory: 1021 08/28 18:11:39 - mmengine - INFO - Epoch(val) [260][270/500] eta: 0:00:10 time: 0.0447 data_time: 0.0023 memory: 1021 08/28 18:11:39 - mmengine - INFO - Epoch(val) [260][275/500] eta: 0:00:10 time: 0.0444 data_time: 0.0023 memory: 1021 08/28 18:11:39 - mmengine - INFO - Epoch(val) [260][280/500] eta: 0:00:10 time: 0.0458 data_time: 0.0023 memory: 1021 08/28 18:11:40 - mmengine - INFO - Epoch(val) [260][285/500] eta: 0:00:10 time: 0.1225 data_time: 0.0074 memory: 1021 08/28 18:11:40 - mmengine - INFO - Epoch(val) [260][290/500] eta: 0:00:26 time: 0.1244 data_time: 0.0083 memory: 1021 08/28 18:11:41 - mmengine - INFO - Epoch(val) [260][295/500] eta: 0:00:26 time: 0.0492 data_time: 0.0034 memory: 1021 08/28 18:11:41 - mmengine - INFO - Epoch(val) [260][300/500] eta: 0:00:09 time: 0.0456 data_time: 0.0024 memory: 1021 08/28 18:11:41 - mmengine - INFO - Epoch(val) [260][305/500] eta: 0:00:09 time: 0.0444 data_time: 0.0024 memory: 1021 08/28 18:11:41 - mmengine - INFO - Epoch(val) [260][310/500] eta: 0:00:08 time: 0.0442 data_time: 0.0024 memory: 1021 08/28 18:11:42 - mmengine - INFO - Epoch(val) [260][315/500] eta: 0:00:08 time: 0.0471 data_time: 0.0022 memory: 1021 08/28 18:11:42 - mmengine - INFO - Epoch(val) [260][320/500] eta: 0:00:08 time: 0.0471 data_time: 0.0022 memory: 1021 08/28 18:11:42 - mmengine - INFO - Epoch(val) [260][325/500] eta: 0:00:08 time: 0.0547 data_time: 0.0023 memory: 1021 08/28 18:11:42 - mmengine - INFO - Epoch(val) [260][330/500] eta: 0:00:09 time: 0.0541 data_time: 0.0024 memory: 1021 08/28 18:11:43 - mmengine - INFO - Epoch(val) [260][335/500] eta: 0:00:09 time: 0.0426 data_time: 0.0024 memory: 1021 08/28 18:11:43 - mmengine - INFO - Epoch(val) [260][340/500] eta: 0:00:07 time: 0.0497 data_time: 0.0022 memory: 1021 08/28 18:11:43 - mmengine - INFO - Epoch(val) [260][345/500] eta: 0:00:07 time: 0.0504 data_time: 0.0022 memory: 1021 08/28 18:11:43 - mmengine - INFO - Epoch(val) [260][350/500] eta: 0:00:07 time: 0.0477 data_time: 0.0022 memory: 1021 08/28 18:11:43 - mmengine - INFO - Epoch(val) [260][355/500] eta: 0:00:07 time: 0.0474 data_time: 0.0022 memory: 1021 08/28 18:11:44 - mmengine - INFO - Epoch(val) [260][360/500] eta: 0:00:06 time: 0.0445 data_time: 0.0022 memory: 1021 08/28 18:11:44 - mmengine - INFO - Epoch(val) [260][365/500] eta: 0:00:06 time: 0.0456 data_time: 0.0022 memory: 1021 08/28 18:11:44 - mmengine - INFO - Epoch(val) [260][370/500] eta: 0:00:05 time: 0.0438 data_time: 0.0022 memory: 1021 08/28 18:11:44 - mmengine - INFO - Epoch(val) [260][375/500] eta: 0:00:05 time: 0.0426 data_time: 0.0021 memory: 1021 08/28 18:11:45 - mmengine - INFO - Epoch(val) [260][380/500] eta: 0:00:05 time: 0.0458 data_time: 0.0021 memory: 1021 08/28 18:11:45 - mmengine - INFO - Epoch(val) [260][385/500] eta: 0:00:05 time: 0.0467 data_time: 0.0022 memory: 1021 08/28 18:11:45 - mmengine - INFO - Epoch(val) [260][390/500] eta: 0:00:05 time: 0.0456 data_time: 0.0023 memory: 1021 08/28 18:11:45 - mmengine - INFO - Epoch(val) [260][395/500] eta: 0:00:05 time: 0.0462 data_time: 0.0021 memory: 1021 08/28 18:11:46 - mmengine - INFO - Epoch(val) [260][400/500] eta: 0:00:04 time: 0.0455 data_time: 0.0021 memory: 1021 08/28 18:11:46 - mmengine - INFO - Epoch(val) [260][405/500] eta: 0:00:04 time: 0.0452 data_time: 0.0021 memory: 1021 08/28 18:11:46 - mmengine - INFO - Epoch(val) [260][410/500] eta: 0:00:04 time: 0.0465 data_time: 0.0021 memory: 1021 08/28 18:11:46 - mmengine - INFO - Epoch(val) [260][415/500] eta: 0:00:04 time: 0.0460 data_time: 0.0022 memory: 1021 08/28 18:11:46 - mmengine - INFO - Epoch(val) [260][420/500] eta: 0:00:03 time: 0.0423 data_time: 0.0022 memory: 1021 08/28 18:11:47 - mmengine - INFO - Epoch(val) [260][425/500] eta: 0:00:03 time: 0.0435 data_time: 0.0022 memory: 1021 08/28 18:11:47 - mmengine - INFO - Epoch(val) [260][430/500] eta: 0:00:03 time: 0.0451 data_time: 0.0022 memory: 1021 08/28 18:11:47 - mmengine - INFO - Epoch(val) [260][435/500] eta: 0:00:03 time: 0.0487 data_time: 0.0071 memory: 1021 08/28 18:11:47 - mmengine - INFO - Epoch(val) [260][440/500] eta: 0:00:03 time: 0.0500 data_time: 0.0071 memory: 1021 08/28 18:11:48 - mmengine - INFO - Epoch(val) [260][445/500] eta: 0:00:03 time: 0.0470 data_time: 0.0023 memory: 1021 08/28 18:11:48 - mmengine - INFO - Epoch(val) [260][450/500] eta: 0:00:02 time: 0.0469 data_time: 0.0023 memory: 1021 08/28 18:11:48 - mmengine - INFO - Epoch(val) [260][455/500] eta: 0:00:02 time: 0.0474 data_time: 0.0023 memory: 1021 08/28 18:11:48 - mmengine - INFO - Epoch(val) [260][460/500] eta: 0:00:01 time: 0.0461 data_time: 0.0022 memory: 1021 08/28 18:11:49 - mmengine - INFO - Epoch(val) [260][465/500] eta: 0:00:01 time: 0.0436 data_time: 0.0021 memory: 1021 08/28 18:11:49 - mmengine - INFO - Epoch(val) [260][470/500] eta: 0:00:01 time: 0.0432 data_time: 0.0021 memory: 1021 08/28 18:11:49 - mmengine - INFO - Epoch(val) [260][475/500] eta: 0:00:01 time: 0.0431 data_time: 0.0021 memory: 1021 08/28 18:11:49 - mmengine - INFO - Epoch(val) [260][480/500] eta: 0:00:00 time: 0.0441 data_time: 0.0021 memory: 1021 08/28 18:11:49 - mmengine - INFO - Epoch(val) [260][485/500] eta: 0:00:00 time: 0.0442 data_time: 0.0022 memory: 1021 08/28 18:11:50 - mmengine - INFO - Epoch(val) [260][490/500] eta: 0:00:00 time: 0.0461 data_time: 0.0022 memory: 1021 08/28 18:11:50 - mmengine - INFO - Epoch(val) [260][495/500] eta: 0:00:00 time: 0.0498 data_time: 0.0022 memory: 1021 08/28 18:11:50 - mmengine - INFO - Epoch(val) [260][500/500] eta: 0:00:00 time: 0.0464 data_time: 0.0022 memory: 1021 08/28 18:11:50 - mmengine - INFO - Evaluating hmean-iou... 08/28 18:11:50 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7954, precision: 0.6364, hmean: 0.7070 08/28 18:11:50 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7949, precision: 0.7244, hmean: 0.7580 08/28 18:11:50 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7896, precision: 0.7915, hmean: 0.7906 08/28 18:11:50 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7723, precision: 0.8324, hmean: 0.8012 08/28 18:11:50 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6976, precision: 0.8755, hmean: 0.7765 08/28 18:11:50 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.3491, precision: 0.9440, hmean: 0.5097 08/28 18:11:50 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0043, precision: 0.9000, hmean: 0.0086 08/28 18:11:50 - mmengine - INFO - Epoch(val) [260][500/500] icdar/precision: 0.8324 icdar/recall: 0.7723 icdar/hmean: 0.8012 08/28 18:11:57 - mmengine - INFO - Epoch(train) [261][5/63] lr: 5.6177e-03 eta: 0:00:00 time: 1.0791 data_time: 0.1950 memory: 14974 loss_prob: 0.9887 loss_thr: 0.5101 loss_db: 0.1564 loss: 1.6552 08/28 18:12:02 - mmengine - INFO - Epoch(train) [261][10/63] lr: 5.6177e-03 eta: 14:59:12 time: 1.0765 data_time: 0.1988 memory: 14974 loss_prob: 1.1236 loss_thr: 0.5530 loss_db: 0.1788 loss: 1.8554 08/28 18:12:07 - mmengine - INFO - Epoch(train) [261][15/63] lr: 5.6177e-03 eta: 14:59:12 time: 0.9944 data_time: 0.1322 memory: 14974 loss_prob: 1.0796 loss_thr: 0.5684 loss_db: 0.1753 loss: 1.8234 08/28 18:12:11 - mmengine - INFO - Epoch(train) [261][20/63] lr: 5.6177e-03 eta: 14:59:03 time: 0.9276 data_time: 0.1343 memory: 14974 loss_prob: 0.9483 loss_thr: 0.5447 loss_db: 0.1542 loss: 1.6473 08/28 18:12:15 - mmengine - INFO - Epoch(train) [261][25/63] lr: 5.6177e-03 eta: 14:59:03 time: 0.8121 data_time: 0.0601 memory: 14974 loss_prob: 0.9724 loss_thr: 0.5181 loss_db: 0.1647 loss: 1.6553 08/28 18:12:20 - mmengine - INFO - Epoch(train) [261][30/63] lr: 5.6177e-03 eta: 14:58:55 time: 0.9426 data_time: 0.1277 memory: 14974 loss_prob: 0.9271 loss_thr: 0.4891 loss_db: 0.1562 loss: 1.5724 08/28 18:12:25 - mmengine - INFO - Epoch(train) [261][35/63] lr: 5.6177e-03 eta: 14:58:55 time: 0.9962 data_time: 0.1306 memory: 14974 loss_prob: 0.8459 loss_thr: 0.4826 loss_db: 0.1356 loss: 1.4641 08/28 18:12:29 - mmengine - INFO - Epoch(train) [261][40/63] lr: 5.6177e-03 eta: 14:58:43 time: 0.8291 data_time: 0.0517 memory: 14974 loss_prob: 0.9592 loss_thr: 0.5289 loss_db: 0.1542 loss: 1.6424 08/28 18:12:33 - mmengine - INFO - Epoch(train) [261][45/63] lr: 5.6177e-03 eta: 14:58:43 time: 0.8490 data_time: 0.0767 memory: 14974 loss_prob: 1.0641 loss_thr: 0.5599 loss_db: 0.1739 loss: 1.7979 08/28 18:12:37 - mmengine - INFO - Epoch(train) [261][50/63] lr: 5.6177e-03 eta: 14:58:32 time: 0.8476 data_time: 0.0791 memory: 14974 loss_prob: 1.0729 loss_thr: 0.5522 loss_db: 0.1732 loss: 1.7984 08/28 18:12:42 - mmengine - INFO - Epoch(train) [261][55/63] lr: 5.6177e-03 eta: 14:58:32 time: 0.8089 data_time: 0.0530 memory: 14974 loss_prob: 1.1117 loss_thr: 0.5681 loss_db: 0.1813 loss: 1.8611 08/28 18:12:46 - mmengine - INFO - Epoch(train) [261][60/63] lr: 5.6177e-03 eta: 14:58:23 time: 0.9026 data_time: 0.1211 memory: 14974 loss_prob: 1.0165 loss_thr: 0.5558 loss_db: 0.1736 loss: 1.7458 08/28 18:12:48 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:12:54 - mmengine - INFO - Epoch(train) [262][5/63] lr: 5.6124e-03 eta: 14:58:23 time: 0.8862 data_time: 0.1644 memory: 14974 loss_prob: 0.9063 loss_thr: 0.5268 loss_db: 0.1458 loss: 1.5789 08/28 18:12:58 - mmengine - INFO - Epoch(train) [262][10/63] lr: 5.6124e-03 eta: 14:58:04 time: 0.9954 data_time: 0.2486 memory: 14974 loss_prob: 0.9379 loss_thr: 0.5013 loss_db: 0.1524 loss: 1.5916 08/28 18:13:02 - mmengine - INFO - Epoch(train) [262][15/63] lr: 5.6124e-03 eta: 14:58:04 time: 0.8897 data_time: 0.1317 memory: 14974 loss_prob: 0.9002 loss_thr: 0.5052 loss_db: 0.1522 loss: 1.5576 08/28 18:13:07 - mmengine - INFO - Epoch(train) [262][20/63] lr: 5.6124e-03 eta: 14:57:52 time: 0.8322 data_time: 0.0717 memory: 14974 loss_prob: 0.8588 loss_thr: 0.5238 loss_db: 0.1425 loss: 1.5251 08/28 18:13:11 - mmengine - INFO - Epoch(train) [262][25/63] lr: 5.6124e-03 eta: 14:57:52 time: 0.8699 data_time: 0.1304 memory: 14974 loss_prob: 0.8791 loss_thr: 0.5222 loss_db: 0.1447 loss: 1.5459 08/28 18:13:17 - mmengine - INFO - Epoch(train) [262][30/63] lr: 5.6124e-03 eta: 14:57:46 time: 1.0048 data_time: 0.1157 memory: 14974 loss_prob: 0.8980 loss_thr: 0.5255 loss_db: 0.1475 loss: 1.5710 08/28 18:13:22 - mmengine - INFO - Epoch(train) [262][35/63] lr: 5.6124e-03 eta: 14:57:46 time: 1.0616 data_time: 0.1319 memory: 14974 loss_prob: 0.8513 loss_thr: 0.5068 loss_db: 0.1407 loss: 1.4988 08/28 18:13:26 - mmengine - INFO - Epoch(train) [262][40/63] lr: 5.6124e-03 eta: 14:57:38 time: 0.9321 data_time: 0.1433 memory: 14974 loss_prob: 0.8025 loss_thr: 0.4887 loss_db: 0.1336 loss: 1.4247 08/28 18:13:30 - mmengine - INFO - Epoch(train) [262][45/63] lr: 5.6124e-03 eta: 14:57:38 time: 0.8063 data_time: 0.0730 memory: 14974 loss_prob: 0.9683 loss_thr: 0.5333 loss_db: 0.1610 loss: 1.6626 08/28 18:13:35 - mmengine - INFO - Epoch(train) [262][50/63] lr: 5.6124e-03 eta: 14:57:30 time: 0.9347 data_time: 0.0996 memory: 14974 loss_prob: 1.0772 loss_thr: 0.5449 loss_db: 0.1721 loss: 1.7943 08/28 18:13:39 - mmengine - INFO - Epoch(train) [262][55/63] lr: 5.6124e-03 eta: 14:57:30 time: 0.9256 data_time: 0.0875 memory: 14974 loss_prob: 0.9943 loss_thr: 0.5271 loss_db: 0.1550 loss: 1.6764 08/28 18:13:44 - mmengine - INFO - Epoch(train) [262][60/63] lr: 5.6124e-03 eta: 14:57:20 time: 0.8963 data_time: 0.0492 memory: 14974 loss_prob: 0.9995 loss_thr: 0.5544 loss_db: 0.1651 loss: 1.7190 08/28 18:13:47 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:13:52 - mmengine - INFO - Epoch(train) [263][5/63] lr: 5.6070e-03 eta: 14:57:20 time: 0.9830 data_time: 0.2021 memory: 14974 loss_prob: 0.9753 loss_thr: 0.5278 loss_db: 0.1604 loss: 1.6635 08/28 18:13:56 - mmengine - INFO - Epoch(train) [263][10/63] lr: 5.6070e-03 eta: 14:56:58 time: 0.9044 data_time: 0.1754 memory: 14974 loss_prob: 0.9121 loss_thr: 0.5111 loss_db: 0.1525 loss: 1.5757 08/28 18:14:00 - mmengine - INFO - Epoch(train) [263][15/63] lr: 5.6070e-03 eta: 14:56:58 time: 0.8317 data_time: 0.1025 memory: 14974 loss_prob: 0.8586 loss_thr: 0.5117 loss_db: 0.1477 loss: 1.5181 08/28 18:14:05 - mmengine - INFO - Epoch(train) [263][20/63] lr: 5.6070e-03 eta: 14:56:49 time: 0.9052 data_time: 0.1043 memory: 14974 loss_prob: 0.8747 loss_thr: 0.5216 loss_db: 0.1439 loss: 1.5401 08/28 18:14:09 - mmengine - INFO - Epoch(train) [263][25/63] lr: 5.6070e-03 eta: 14:56:49 time: 0.8557 data_time: 0.0498 memory: 14974 loss_prob: 0.9767 loss_thr: 0.5467 loss_db: 0.1549 loss: 1.6783 08/28 18:14:13 - mmengine - INFO - Epoch(train) [263][30/63] lr: 5.6070e-03 eta: 14:56:36 time: 0.8055 data_time: 0.0675 memory: 14974 loss_prob: 0.9379 loss_thr: 0.5332 loss_db: 0.1520 loss: 1.6231 08/28 18:14:17 - mmengine - INFO - Epoch(train) [263][35/63] lr: 5.6070e-03 eta: 14:56:36 time: 0.8635 data_time: 0.1002 memory: 14974 loss_prob: 0.8611 loss_thr: 0.5111 loss_db: 0.1413 loss: 1.5136 08/28 18:14:22 - mmengine - INFO - Epoch(train) [263][40/63] lr: 5.6070e-03 eta: 14:56:26 time: 0.8808 data_time: 0.0877 memory: 14974 loss_prob: 0.9177 loss_thr: 0.5329 loss_db: 0.1494 loss: 1.6001 08/28 18:14:26 - mmengine - INFO - Epoch(train) [263][45/63] lr: 5.6070e-03 eta: 14:56:26 time: 0.9002 data_time: 0.1247 memory: 14974 loss_prob: 0.8808 loss_thr: 0.5207 loss_db: 0.1465 loss: 1.5480 08/28 18:14:31 - mmengine - INFO - Epoch(train) [263][50/63] lr: 5.6070e-03 eta: 14:56:19 time: 0.9821 data_time: 0.1341 memory: 14974 loss_prob: 0.8157 loss_thr: 0.4964 loss_db: 0.1383 loss: 1.4503 08/28 18:14:36 - mmengine - INFO - Epoch(train) [263][55/63] lr: 5.6070e-03 eta: 14:56:19 time: 0.9831 data_time: 0.0777 memory: 14974 loss_prob: 0.8745 loss_thr: 0.5218 loss_db: 0.1465 loss: 1.5428 08/28 18:14:41 - mmengine - INFO - Epoch(train) [263][60/63] lr: 5.6070e-03 eta: 14:56:11 time: 0.9321 data_time: 0.1269 memory: 14974 loss_prob: 0.9295 loss_thr: 0.5331 loss_db: 0.1547 loss: 1.6173 08/28 18:14:44 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:14:51 - mmengine - INFO - Epoch(train) [264][5/63] lr: 5.6016e-03 eta: 14:56:11 time: 1.1827 data_time: 0.2316 memory: 14974 loss_prob: 0.8836 loss_thr: 0.5175 loss_db: 0.1479 loss: 1.5490 08/28 18:14:56 - mmengine - INFO - Epoch(train) [264][10/63] lr: 5.6016e-03 eta: 14:55:58 time: 1.1544 data_time: 0.2596 memory: 14974 loss_prob: 0.9115 loss_thr: 0.5128 loss_db: 0.1485 loss: 1.5728 08/28 18:14:59 - mmengine - INFO - Epoch(train) [264][15/63] lr: 5.6016e-03 eta: 14:55:58 time: 0.8458 data_time: 0.1125 memory: 14974 loss_prob: 0.8571 loss_thr: 0.4884 loss_db: 0.1404 loss: 1.4858 08/28 18:15:05 - mmengine - INFO - Epoch(train) [264][20/63] lr: 5.6016e-03 eta: 14:55:50 time: 0.9494 data_time: 0.0609 memory: 14974 loss_prob: 0.8520 loss_thr: 0.5070 loss_db: 0.1425 loss: 1.5016 08/28 18:15:10 - mmengine - INFO - Epoch(train) [264][25/63] lr: 5.6016e-03 eta: 14:55:50 time: 1.0194 data_time: 0.1349 memory: 14974 loss_prob: 0.7903 loss_thr: 0.5039 loss_db: 0.1320 loss: 1.4262 08/28 18:15:14 - mmengine - INFO - Epoch(train) [264][30/63] lr: 5.6016e-03 eta: 14:55:39 time: 0.8499 data_time: 0.1118 memory: 14974 loss_prob: 0.7637 loss_thr: 0.4685 loss_db: 0.1254 loss: 1.3576 08/28 18:15:17 - mmengine - INFO - Epoch(train) [264][35/63] lr: 5.6016e-03 eta: 14:55:39 time: 0.7842 data_time: 0.0514 memory: 14974 loss_prob: 0.8177 loss_thr: 0.4699 loss_db: 0.1368 loss: 1.4244 08/28 18:15:22 - mmengine - INFO - Epoch(train) [264][40/63] lr: 5.6016e-03 eta: 14:55:29 time: 0.8747 data_time: 0.0760 memory: 14974 loss_prob: 0.8686 loss_thr: 0.4954 loss_db: 0.1454 loss: 1.5093 08/28 18:15:26 - mmengine - INFO - Epoch(train) [264][45/63] lr: 5.6016e-03 eta: 14:55:29 time: 0.8790 data_time: 0.0686 memory: 14974 loss_prob: 0.8404 loss_thr: 0.5024 loss_db: 0.1375 loss: 1.4802 08/28 18:15:30 - mmengine - INFO - Epoch(train) [264][50/63] lr: 5.6016e-03 eta: 14:55:15 time: 0.7898 data_time: 0.0578 memory: 14974 loss_prob: 0.8020 loss_thr: 0.4851 loss_db: 0.1342 loss: 1.4213 08/28 18:15:35 - mmengine - INFO - Epoch(train) [264][55/63] lr: 5.6016e-03 eta: 14:55:15 time: 0.8661 data_time: 0.1400 memory: 14974 loss_prob: 0.9093 loss_thr: 0.4950 loss_db: 0.1500 loss: 1.5542 08/28 18:15:39 - mmengine - INFO - Epoch(train) [264][60/63] lr: 5.6016e-03 eta: 14:55:05 time: 0.8786 data_time: 0.1491 memory: 14974 loss_prob: 0.9772 loss_thr: 0.5225 loss_db: 0.1618 loss: 1.6615 08/28 18:15:41 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:15:47 - mmengine - INFO - Epoch(train) [265][5/63] lr: 5.5962e-03 eta: 14:55:05 time: 0.9593 data_time: 0.2080 memory: 14974 loss_prob: 0.8416 loss_thr: 0.4952 loss_db: 0.1420 loss: 1.4788 08/28 18:15:52 - mmengine - INFO - Epoch(train) [265][10/63] lr: 5.5962e-03 eta: 14:54:51 time: 1.1147 data_time: 0.2831 memory: 14974 loss_prob: 0.9760 loss_thr: 0.5011 loss_db: 0.1626 loss: 1.6396 08/28 18:15:56 - mmengine - INFO - Epoch(train) [265][15/63] lr: 5.5962e-03 eta: 14:54:51 time: 0.9005 data_time: 0.1255 memory: 14974 loss_prob: 1.0787 loss_thr: 0.5127 loss_db: 0.1799 loss: 1.7713 08/28 18:16:00 - mmengine - INFO - Epoch(train) [265][20/63] lr: 5.5962e-03 eta: 14:54:38 time: 0.8182 data_time: 0.0630 memory: 14974 loss_prob: 1.0464 loss_thr: 0.5271 loss_db: 0.1750 loss: 1.7486 08/28 18:16:06 - mmengine - INFO - Epoch(train) [265][25/63] lr: 5.5962e-03 eta: 14:54:38 time: 0.9440 data_time: 0.1093 memory: 14974 loss_prob: 1.0232 loss_thr: 0.5398 loss_db: 0.1693 loss: 1.7324 08/28 18:16:10 - mmengine - INFO - Epoch(train) [265][30/63] lr: 5.5962e-03 eta: 14:54:30 time: 0.9284 data_time: 0.0902 memory: 14974 loss_prob: 0.9643 loss_thr: 0.5266 loss_db: 0.1646 loss: 1.6554 08/28 18:16:14 - mmengine - INFO - Epoch(train) [265][35/63] lr: 5.5962e-03 eta: 14:54:30 time: 0.8749 data_time: 0.0485 memory: 14974 loss_prob: 1.0198 loss_thr: 0.5593 loss_db: 0.1686 loss: 1.7477 08/28 18:16:19 - mmengine - INFO - Epoch(train) [265][40/63] lr: 5.5962e-03 eta: 14:54:21 time: 0.9221 data_time: 0.0739 memory: 14974 loss_prob: 0.9807 loss_thr: 0.5618 loss_db: 0.1601 loss: 1.7026 08/28 18:16:23 - mmengine - INFO - Epoch(train) [265][45/63] lr: 5.5962e-03 eta: 14:54:21 time: 0.8467 data_time: 0.0756 memory: 14974 loss_prob: 0.8551 loss_thr: 0.5239 loss_db: 0.1456 loss: 1.5245 08/28 18:16:27 - mmengine - INFO - Epoch(train) [265][50/63] lr: 5.5962e-03 eta: 14:54:07 time: 0.7766 data_time: 0.0631 memory: 14974 loss_prob: 0.9354 loss_thr: 0.5208 loss_db: 0.1505 loss: 1.6068 08/28 18:16:31 - mmengine - INFO - Epoch(train) [265][55/63] lr: 5.5962e-03 eta: 14:54:07 time: 0.8472 data_time: 0.1140 memory: 14974 loss_prob: 0.8796 loss_thr: 0.5011 loss_db: 0.1383 loss: 1.5189 08/28 18:16:36 - mmengine - INFO - Epoch(train) [265][60/63] lr: 5.5962e-03 eta: 14:53:58 time: 0.9181 data_time: 0.1152 memory: 14974 loss_prob: 0.8263 loss_thr: 0.4891 loss_db: 0.1380 loss: 1.4534 08/28 18:16:38 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:16:43 - mmengine - INFO - Epoch(train) [266][5/63] lr: 5.5908e-03 eta: 14:53:58 time: 0.8759 data_time: 0.1755 memory: 14974 loss_prob: 0.8236 loss_thr: 0.5061 loss_db: 0.1397 loss: 1.4694 08/28 18:16:48 - mmengine - INFO - Epoch(train) [266][10/63] lr: 5.5908e-03 eta: 14:53:40 time: 1.0030 data_time: 0.2654 memory: 14974 loss_prob: 0.8085 loss_thr: 0.5114 loss_db: 0.1371 loss: 1.4570 08/28 18:16:53 - mmengine - INFO - Epoch(train) [266][15/63] lr: 5.5908e-03 eta: 14:53:40 time: 0.9331 data_time: 0.1305 memory: 14974 loss_prob: 0.8690 loss_thr: 0.5031 loss_db: 0.1423 loss: 1.5144 08/28 18:16:57 - mmengine - INFO - Epoch(train) [266][20/63] lr: 5.5908e-03 eta: 14:53:30 time: 0.8797 data_time: 0.0637 memory: 14974 loss_prob: 0.9020 loss_thr: 0.5007 loss_db: 0.1472 loss: 1.5499 08/28 18:17:02 - mmengine - INFO - Epoch(train) [266][25/63] lr: 5.5908e-03 eta: 14:53:30 time: 0.9477 data_time: 0.1374 memory: 14974 loss_prob: 0.8662 loss_thr: 0.5136 loss_db: 0.1447 loss: 1.5245 08/28 18:17:06 - mmengine - INFO - Epoch(train) [266][30/63] lr: 5.5908e-03 eta: 14:53:22 time: 0.9508 data_time: 0.1395 memory: 14974 loss_prob: 0.9919 loss_thr: 0.5389 loss_db: 0.1627 loss: 1.6935 08/28 18:17:10 - mmengine - INFO - Epoch(train) [266][35/63] lr: 5.5908e-03 eta: 14:53:22 time: 0.8143 data_time: 0.0726 memory: 14974 loss_prob: 0.9657 loss_thr: 0.5316 loss_db: 0.1573 loss: 1.6547 08/28 18:17:15 - mmengine - INFO - Epoch(train) [266][40/63] lr: 5.5908e-03 eta: 14:53:14 time: 0.9344 data_time: 0.1263 memory: 14974 loss_prob: 0.7925 loss_thr: 0.4989 loss_db: 0.1321 loss: 1.4235 08/28 18:17:20 - mmengine - INFO - Epoch(train) [266][45/63] lr: 5.5908e-03 eta: 14:53:14 time: 1.0150 data_time: 0.1326 memory: 14974 loss_prob: 0.8642 loss_thr: 0.5141 loss_db: 0.1429 loss: 1.5212 08/28 18:17:25 - mmengine - INFO - Epoch(train) [266][50/63] lr: 5.5908e-03 eta: 14:53:05 time: 0.9241 data_time: 0.0965 memory: 14974 loss_prob: 0.8476 loss_thr: 0.5020 loss_db: 0.1433 loss: 1.4930 08/28 18:17:29 - mmengine - INFO - Epoch(train) [266][55/63] lr: 5.5908e-03 eta: 14:53:05 time: 0.8278 data_time: 0.0810 memory: 14974 loss_prob: 0.8118 loss_thr: 0.4928 loss_db: 0.1366 loss: 1.4413 08/28 18:17:34 - mmengine - INFO - Epoch(train) [266][60/63] lr: 5.5908e-03 eta: 14:52:57 time: 0.9297 data_time: 0.0596 memory: 14974 loss_prob: 0.8528 loss_thr: 0.5064 loss_db: 0.1375 loss: 1.4967 08/28 18:17:36 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:17:42 - mmengine - INFO - Epoch(train) [267][5/63] lr: 5.5854e-03 eta: 14:52:57 time: 0.9446 data_time: 0.2220 memory: 14974 loss_prob: 0.9223 loss_thr: 0.5457 loss_db: 0.1547 loss: 1.6227 08/28 18:17:46 - mmengine - INFO - Epoch(train) [267][10/63] lr: 5.5854e-03 eta: 14:52:36 time: 0.9203 data_time: 0.1948 memory: 14974 loss_prob: 0.8597 loss_thr: 0.5016 loss_db: 0.1413 loss: 1.5025 08/28 18:17:50 - mmengine - INFO - Epoch(train) [267][15/63] lr: 5.5854e-03 eta: 14:52:36 time: 0.8281 data_time: 0.1073 memory: 14974 loss_prob: 0.8430 loss_thr: 0.4955 loss_db: 0.1387 loss: 1.4772 08/28 18:17:54 - mmengine - INFO - Epoch(train) [267][20/63] lr: 5.5854e-03 eta: 14:52:25 time: 0.8703 data_time: 0.0877 memory: 14974 loss_prob: 0.8299 loss_thr: 0.5026 loss_db: 0.1410 loss: 1.4734 08/28 18:17:58 - mmengine - INFO - Epoch(train) [267][25/63] lr: 5.5854e-03 eta: 14:52:25 time: 0.8369 data_time: 0.0523 memory: 14974 loss_prob: 0.8026 loss_thr: 0.5055 loss_db: 0.1344 loss: 1.4425 08/28 18:18:02 - mmengine - INFO - Epoch(train) [267][30/63] lr: 5.5854e-03 eta: 14:52:13 time: 0.8044 data_time: 0.0649 memory: 14974 loss_prob: 0.7765 loss_thr: 0.4994 loss_db: 0.1281 loss: 1.4040 08/28 18:18:06 - mmengine - INFO - Epoch(train) [267][35/63] lr: 5.5854e-03 eta: 14:52:13 time: 0.8223 data_time: 0.0804 memory: 14974 loss_prob: 0.7652 loss_thr: 0.4889 loss_db: 0.1295 loss: 1.3836 08/28 18:18:10 - mmengine - INFO - Epoch(train) [267][40/63] lr: 5.5854e-03 eta: 14:52:00 time: 0.8023 data_time: 0.0815 memory: 14974 loss_prob: 0.7644 loss_thr: 0.4641 loss_db: 0.1302 loss: 1.3586 08/28 18:18:16 - mmengine - INFO - Epoch(train) [267][45/63] lr: 5.5854e-03 eta: 14:52:00 time: 0.9098 data_time: 0.1179 memory: 14974 loss_prob: 0.8709 loss_thr: 0.4637 loss_db: 0.1416 loss: 1.4762 08/28 18:18:20 - mmengine - INFO - Epoch(train) [267][50/63] lr: 5.5854e-03 eta: 14:51:52 time: 0.9553 data_time: 0.1227 memory: 14974 loss_prob: 0.9548 loss_thr: 0.5075 loss_db: 0.1528 loss: 1.6151 08/28 18:18:25 - mmengine - INFO - Epoch(train) [267][55/63] lr: 5.5854e-03 eta: 14:51:52 time: 0.9424 data_time: 0.0784 memory: 14974 loss_prob: 0.8736 loss_thr: 0.5007 loss_db: 0.1447 loss: 1.5190 08/28 18:18:29 - mmengine - INFO - Epoch(train) [267][60/63] lr: 5.5854e-03 eta: 14:51:44 time: 0.9424 data_time: 0.1199 memory: 14974 loss_prob: 1.0170 loss_thr: 0.5098 loss_db: 0.1580 loss: 1.6849 08/28 18:18:32 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:18:37 - mmengine - INFO - Epoch(train) [268][5/63] lr: 5.5800e-03 eta: 14:51:44 time: 0.9355 data_time: 0.1899 memory: 14974 loss_prob: 1.0274 loss_thr: 0.5244 loss_db: 0.1570 loss: 1.7088 08/28 18:18:42 - mmengine - INFO - Epoch(train) [268][10/63] lr: 5.5800e-03 eta: 14:51:26 time: 1.0108 data_time: 0.2121 memory: 14974 loss_prob: 0.8572 loss_thr: 0.5010 loss_db: 0.1443 loss: 1.5024 08/28 18:18:46 - mmengine - INFO - Epoch(train) [268][15/63] lr: 5.5800e-03 eta: 14:51:26 time: 0.8849 data_time: 0.0863 memory: 14974 loss_prob: 0.9017 loss_thr: 0.5051 loss_db: 0.1473 loss: 1.5541 08/28 18:18:50 - mmengine - INFO - Epoch(train) [268][20/63] lr: 5.5800e-03 eta: 14:51:13 time: 0.7827 data_time: 0.0494 memory: 14974 loss_prob: 0.9090 loss_thr: 0.5275 loss_db: 0.1485 loss: 1.5849 08/28 18:18:56 - mmengine - INFO - Epoch(train) [268][25/63] lr: 5.5800e-03 eta: 14:51:13 time: 0.9656 data_time: 0.0819 memory: 14974 loss_prob: 0.8872 loss_thr: 0.5171 loss_db: 0.1484 loss: 1.5527 08/28 18:19:00 - mmengine - INFO - Epoch(train) [268][30/63] lr: 5.5800e-03 eta: 14:51:05 time: 0.9621 data_time: 0.0872 memory: 14974 loss_prob: 0.7925 loss_thr: 0.4916 loss_db: 0.1325 loss: 1.4165 08/28 18:19:04 - mmengine - INFO - Epoch(train) [268][35/63] lr: 5.5800e-03 eta: 14:51:05 time: 0.7895 data_time: 0.0602 memory: 14974 loss_prob: 0.7737 loss_thr: 0.4786 loss_db: 0.1278 loss: 1.3801 08/28 18:19:08 - mmengine - INFO - Epoch(train) [268][40/63] lr: 5.5800e-03 eta: 14:50:54 time: 0.8344 data_time: 0.0930 memory: 14974 loss_prob: 0.7789 loss_thr: 0.4695 loss_db: 0.1315 loss: 1.3799 08/28 18:19:13 - mmengine - INFO - Epoch(train) [268][45/63] lr: 5.5800e-03 eta: 14:50:54 time: 0.9131 data_time: 0.0867 memory: 14974 loss_prob: 0.7444 loss_thr: 0.4648 loss_db: 0.1282 loss: 1.3374 08/28 18:19:17 - mmengine - INFO - Epoch(train) [268][50/63] lr: 5.5800e-03 eta: 14:50:44 time: 0.8802 data_time: 0.0485 memory: 14974 loss_prob: 0.8377 loss_thr: 0.5115 loss_db: 0.1404 loss: 1.4895 08/28 18:19:21 - mmengine - INFO - Epoch(train) [268][55/63] lr: 5.5800e-03 eta: 14:50:44 time: 0.8560 data_time: 0.1082 memory: 14974 loss_prob: 0.8826 loss_thr: 0.5399 loss_db: 0.1464 loss: 1.5690 08/28 18:19:26 - mmengine - INFO - Epoch(train) [268][60/63] lr: 5.5800e-03 eta: 14:50:34 time: 0.8823 data_time: 0.1292 memory: 14974 loss_prob: 0.8586 loss_thr: 0.4928 loss_db: 0.1416 loss: 1.4930 08/28 18:19:28 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:19:33 - mmengine - INFO - Epoch(train) [269][5/63] lr: 5.5746e-03 eta: 14:50:34 time: 0.8524 data_time: 0.1613 memory: 14974 loss_prob: 0.7334 loss_thr: 0.4564 loss_db: 0.1263 loss: 1.3160 08/28 18:19:38 - mmengine - INFO - Epoch(train) [269][10/63] lr: 5.5746e-03 eta: 14:50:18 time: 1.0835 data_time: 0.2271 memory: 14974 loss_prob: 0.7404 loss_thr: 0.4572 loss_db: 0.1228 loss: 1.3204 08/28 18:19:43 - mmengine - INFO - Epoch(train) [269][15/63] lr: 5.5746e-03 eta: 14:50:18 time: 1.0025 data_time: 0.1209 memory: 14974 loss_prob: 0.8173 loss_thr: 0.4915 loss_db: 0.1356 loss: 1.4444 08/28 18:19:47 - mmengine - INFO - Epoch(train) [269][20/63] lr: 5.5746e-03 eta: 14:50:06 time: 0.8164 data_time: 0.0619 memory: 14974 loss_prob: 0.8564 loss_thr: 0.4922 loss_db: 0.1420 loss: 1.4906 08/28 18:19:51 - mmengine - INFO - Epoch(train) [269][25/63] lr: 5.5746e-03 eta: 14:50:06 time: 0.8521 data_time: 0.1220 memory: 14974 loss_prob: 0.8436 loss_thr: 0.4923 loss_db: 0.1392 loss: 1.4751 08/28 18:19:56 - mmengine - INFO - Epoch(train) [269][30/63] lr: 5.5746e-03 eta: 14:49:59 time: 0.9748 data_time: 0.1219 memory: 14974 loss_prob: 0.7023 loss_thr: 0.4551 loss_db: 0.1173 loss: 1.2747 08/28 18:20:01 - mmengine - INFO - Epoch(train) [269][35/63] lr: 5.5746e-03 eta: 14:49:59 time: 0.9445 data_time: 0.0605 memory: 14974 loss_prob: 0.7097 loss_thr: 0.4490 loss_db: 0.1180 loss: 1.2766 08/28 18:20:05 - mmengine - INFO - Epoch(train) [269][40/63] lr: 5.5746e-03 eta: 14:49:50 time: 0.9087 data_time: 0.0918 memory: 14974 loss_prob: 0.8111 loss_thr: 0.4985 loss_db: 0.1372 loss: 1.4467 08/28 18:20:10 - mmengine - INFO - Epoch(train) [269][45/63] lr: 5.5746e-03 eta: 14:49:50 time: 0.9120 data_time: 0.0867 memory: 14974 loss_prob: 0.8706 loss_thr: 0.5218 loss_db: 0.1421 loss: 1.5345 08/28 18:20:14 - mmengine - INFO - Epoch(train) [269][50/63] lr: 5.5746e-03 eta: 14:49:38 time: 0.8176 data_time: 0.0543 memory: 14974 loss_prob: 0.9395 loss_thr: 0.5301 loss_db: 0.1548 loss: 1.6244 08/28 18:20:18 - mmengine - INFO - Epoch(train) [269][55/63] lr: 5.5746e-03 eta: 14:49:38 time: 0.8315 data_time: 0.1048 memory: 14974 loss_prob: 0.8796 loss_thr: 0.5153 loss_db: 0.1471 loss: 1.5419 08/28 18:20:22 - mmengine - INFO - Epoch(train) [269][60/63] lr: 5.5746e-03 eta: 14:49:27 time: 0.8592 data_time: 0.0961 memory: 14974 loss_prob: 0.9084 loss_thr: 0.5273 loss_db: 0.1482 loss: 1.5838 08/28 18:20:25 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:20:30 - mmengine - INFO - Epoch(train) [270][5/63] lr: 5.5693e-03 eta: 14:49:27 time: 0.9312 data_time: 0.1813 memory: 14974 loss_prob: 0.8495 loss_thr: 0.5096 loss_db: 0.1425 loss: 1.5016 08/28 18:20:34 - mmengine - INFO - Epoch(train) [270][10/63] lr: 5.5693e-03 eta: 14:49:07 time: 0.9594 data_time: 0.2226 memory: 14974 loss_prob: 0.8201 loss_thr: 0.4958 loss_db: 0.1377 loss: 1.4536 08/28 18:20:38 - mmengine - INFO - Epoch(train) [270][15/63] lr: 5.5693e-03 eta: 14:49:07 time: 0.8478 data_time: 0.1200 memory: 14974 loss_prob: 0.8639 loss_thr: 0.5048 loss_db: 0.1437 loss: 1.5124 08/28 18:20:43 - mmengine - INFO - Epoch(train) [270][20/63] lr: 5.5693e-03 eta: 14:48:56 time: 0.8467 data_time: 0.0747 memory: 14974 loss_prob: 0.8368 loss_thr: 0.4875 loss_db: 0.1395 loss: 1.4638 08/28 18:20:47 - mmengine - INFO - Epoch(train) [270][25/63] lr: 5.5693e-03 eta: 14:48:56 time: 0.9039 data_time: 0.1111 memory: 14974 loss_prob: 0.8629 loss_thr: 0.5053 loss_db: 0.1375 loss: 1.5057 08/28 18:20:52 - mmengine - INFO - Epoch(train) [270][30/63] lr: 5.5693e-03 eta: 14:48:49 time: 0.9638 data_time: 0.1217 memory: 14974 loss_prob: 0.8579 loss_thr: 0.5230 loss_db: 0.1381 loss: 1.5190 08/28 18:20:57 - mmengine - INFO - Epoch(train) [270][35/63] lr: 5.5693e-03 eta: 14:48:49 time: 0.9804 data_time: 0.0719 memory: 14974 loss_prob: 0.7636 loss_thr: 0.4849 loss_db: 0.1310 loss: 1.3795 08/28 18:21:02 - mmengine - INFO - Epoch(train) [270][40/63] lr: 5.5693e-03 eta: 14:48:41 time: 0.9520 data_time: 0.1203 memory: 14974 loss_prob: 0.8047 loss_thr: 0.4890 loss_db: 0.1372 loss: 1.4309 08/28 18:21:06 - mmengine - INFO - Epoch(train) [270][45/63] lr: 5.5693e-03 eta: 14:48:41 time: 0.9174 data_time: 0.1206 memory: 14974 loss_prob: 0.8004 loss_thr: 0.4882 loss_db: 0.1362 loss: 1.4248 08/28 18:21:11 - mmengine - INFO - Epoch(train) [270][50/63] lr: 5.5693e-03 eta: 14:48:33 time: 0.9483 data_time: 0.0709 memory: 14974 loss_prob: 0.8032 loss_thr: 0.5021 loss_db: 0.1365 loss: 1.4418 08/28 18:21:15 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:21:17 - mmengine - INFO - Epoch(train) [270][55/63] lr: 5.5693e-03 eta: 14:48:33 time: 1.0356 data_time: 0.1050 memory: 14974 loss_prob: 0.8058 loss_thr: 0.4995 loss_db: 0.1354 loss: 1.4407 08/28 18:21:21 - mmengine - INFO - Epoch(train) [270][60/63] lr: 5.5693e-03 eta: 14:48:26 time: 0.9723 data_time: 0.0928 memory: 14974 loss_prob: 0.7759 loss_thr: 0.4780 loss_db: 0.1293 loss: 1.3832 08/28 18:21:23 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:21:28 - mmengine - INFO - Epoch(train) [271][5/63] lr: 5.5639e-03 eta: 14:48:26 time: 0.9324 data_time: 0.1782 memory: 14974 loss_prob: 0.8488 loss_thr: 0.5111 loss_db: 0.1457 loss: 1.5055 08/28 18:21:33 - mmengine - INFO - Epoch(train) [271][10/63] lr: 5.5639e-03 eta: 14:48:07 time: 0.9736 data_time: 0.2349 memory: 14974 loss_prob: 0.8055 loss_thr: 0.5006 loss_db: 0.1336 loss: 1.4398 08/28 18:21:37 - mmengine - INFO - Epoch(train) [271][15/63] lr: 5.5639e-03 eta: 14:48:07 time: 0.8462 data_time: 0.1058 memory: 14974 loss_prob: 0.7902 loss_thr: 0.4997 loss_db: 0.1325 loss: 1.4225 08/28 18:21:41 - mmengine - INFO - Epoch(train) [271][20/63] lr: 5.5639e-03 eta: 14:47:55 time: 0.8190 data_time: 0.0553 memory: 14974 loss_prob: 0.7689 loss_thr: 0.4747 loss_db: 0.1306 loss: 1.3741 08/28 18:21:45 - mmengine - INFO - Epoch(train) [271][25/63] lr: 5.5639e-03 eta: 14:47:55 time: 0.8197 data_time: 0.0685 memory: 14974 loss_prob: 0.8176 loss_thr: 0.4876 loss_db: 0.1357 loss: 1.4408 08/28 18:21:49 - mmengine - INFO - Epoch(train) [271][30/63] lr: 5.5639e-03 eta: 14:47:43 time: 0.8098 data_time: 0.0674 memory: 14974 loss_prob: 0.9216 loss_thr: 0.5398 loss_db: 0.1535 loss: 1.6149 08/28 18:21:53 - mmengine - INFO - Epoch(train) [271][35/63] lr: 5.5639e-03 eta: 14:47:43 time: 0.7993 data_time: 0.0589 memory: 14974 loss_prob: 0.8776 loss_thr: 0.5295 loss_db: 0.1491 loss: 1.5562 08/28 18:21:57 - mmengine - INFO - Epoch(train) [271][40/63] lr: 5.5639e-03 eta: 14:47:31 time: 0.8397 data_time: 0.1236 memory: 14974 loss_prob: 0.8086 loss_thr: 0.5032 loss_db: 0.1358 loss: 1.4476 08/28 18:22:01 - mmengine - INFO - Epoch(train) [271][45/63] lr: 5.5639e-03 eta: 14:47:31 time: 0.8483 data_time: 0.1229 memory: 14974 loss_prob: 0.7953 loss_thr: 0.5055 loss_db: 0.1303 loss: 1.4311 08/28 18:22:06 - mmengine - INFO - Epoch(train) [271][50/63] lr: 5.5639e-03 eta: 14:47:21 time: 0.8786 data_time: 0.0824 memory: 14974 loss_prob: 0.7496 loss_thr: 0.4948 loss_db: 0.1245 loss: 1.3689 08/28 18:22:12 - mmengine - INFO - Epoch(train) [271][55/63] lr: 5.5639e-03 eta: 14:47:21 time: 1.0518 data_time: 0.1360 memory: 14974 loss_prob: 0.8488 loss_thr: 0.4985 loss_db: 0.1348 loss: 1.4821 08/28 18:22:16 - mmengine - INFO - Epoch(train) [271][60/63] lr: 5.5639e-03 eta: 14:47:14 time: 0.9711 data_time: 0.1238 memory: 14974 loss_prob: 0.8668 loss_thr: 0.4921 loss_db: 0.1393 loss: 1.4982 08/28 18:22:18 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:22:23 - mmengine - INFO - Epoch(train) [272][5/63] lr: 5.5585e-03 eta: 14:47:14 time: 0.8963 data_time: 0.1697 memory: 14974 loss_prob: 0.8194 loss_thr: 0.5117 loss_db: 0.1359 loss: 1.4671 08/28 18:22:29 - mmengine - INFO - Epoch(train) [272][10/63] lr: 5.5585e-03 eta: 14:46:59 time: 1.0842 data_time: 0.2106 memory: 14974 loss_prob: 0.8348 loss_thr: 0.5048 loss_db: 0.1359 loss: 1.4755 08/28 18:22:33 - mmengine - INFO - Epoch(train) [272][15/63] lr: 5.5585e-03 eta: 14:46:59 time: 0.9528 data_time: 0.0911 memory: 14974 loss_prob: 0.7670 loss_thr: 0.4819 loss_db: 0.1280 loss: 1.3769 08/28 18:22:37 - mmengine - INFO - Epoch(train) [272][20/63] lr: 5.5585e-03 eta: 14:46:48 time: 0.8528 data_time: 0.0459 memory: 14974 loss_prob: 0.7488 loss_thr: 0.4987 loss_db: 0.1259 loss: 1.3734 08/28 18:22:42 - mmengine - INFO - Epoch(train) [272][25/63] lr: 5.5585e-03 eta: 14:46:48 time: 0.8888 data_time: 0.0841 memory: 14974 loss_prob: 0.7242 loss_thr: 0.4712 loss_db: 0.1231 loss: 1.3185 08/28 18:22:46 - mmengine - INFO - Epoch(train) [272][30/63] lr: 5.5585e-03 eta: 14:46:36 time: 0.8391 data_time: 0.0854 memory: 14974 loss_prob: 0.7519 loss_thr: 0.4631 loss_db: 0.1270 loss: 1.3420 08/28 18:22:50 - mmengine - INFO - Epoch(train) [272][35/63] lr: 5.5585e-03 eta: 14:46:36 time: 0.8113 data_time: 0.0594 memory: 14974 loss_prob: 0.8634 loss_thr: 0.5053 loss_db: 0.1419 loss: 1.5105 08/28 18:22:55 - mmengine - INFO - Epoch(train) [272][40/63] lr: 5.5585e-03 eta: 14:46:26 time: 0.8790 data_time: 0.1100 memory: 14974 loss_prob: 0.8741 loss_thr: 0.5168 loss_db: 0.1440 loss: 1.5348 08/28 18:22:58 - mmengine - INFO - Epoch(train) [272][45/63] lr: 5.5585e-03 eta: 14:46:26 time: 0.8456 data_time: 0.0970 memory: 14974 loss_prob: 0.8346 loss_thr: 0.5071 loss_db: 0.1391 loss: 1.4808 08/28 18:23:02 - mmengine - INFO - Epoch(train) [272][50/63] lr: 5.5585e-03 eta: 14:46:12 time: 0.7587 data_time: 0.0420 memory: 14974 loss_prob: 0.8021 loss_thr: 0.4881 loss_db: 0.1331 loss: 1.4233 08/28 18:23:07 - mmengine - INFO - Epoch(train) [272][55/63] lr: 5.5585e-03 eta: 14:46:12 time: 0.8327 data_time: 0.0773 memory: 14974 loss_prob: 0.8045 loss_thr: 0.5044 loss_db: 0.1343 loss: 1.4432 08/28 18:23:11 - mmengine - INFO - Epoch(train) [272][60/63] lr: 5.5585e-03 eta: 14:46:01 time: 0.8506 data_time: 0.0907 memory: 14974 loss_prob: 0.7922 loss_thr: 0.5122 loss_db: 0.1355 loss: 1.4399 08/28 18:23:13 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:23:18 - mmengine - INFO - Epoch(train) [273][5/63] lr: 5.5531e-03 eta: 14:46:01 time: 0.9068 data_time: 0.1832 memory: 14974 loss_prob: 0.8213 loss_thr: 0.4805 loss_db: 0.1401 loss: 1.4420 08/28 18:23:23 - mmengine - INFO - Epoch(train) [273][10/63] lr: 5.5531e-03 eta: 14:45:42 time: 0.9749 data_time: 0.2497 memory: 14974 loss_prob: 0.8457 loss_thr: 0.4808 loss_db: 0.1411 loss: 1.4676 08/28 18:23:28 - mmengine - INFO - Epoch(train) [273][15/63] lr: 5.5531e-03 eta: 14:45:42 time: 0.9629 data_time: 0.1220 memory: 14974 loss_prob: 0.7862 loss_thr: 0.4796 loss_db: 0.1304 loss: 1.3962 08/28 18:23:33 - mmengine - INFO - Epoch(train) [273][20/63] lr: 5.5531e-03 eta: 14:45:36 time: 1.0050 data_time: 0.0668 memory: 14974 loss_prob: 0.7973 loss_thr: 0.4786 loss_db: 0.1358 loss: 1.4117 08/28 18:23:38 - mmengine - INFO - Epoch(train) [273][25/63] lr: 5.5531e-03 eta: 14:45:36 time: 0.9638 data_time: 0.1303 memory: 14974 loss_prob: 0.8424 loss_thr: 0.5051 loss_db: 0.1416 loss: 1.4892 08/28 18:23:41 - mmengine - INFO - Epoch(train) [273][30/63] lr: 5.5531e-03 eta: 14:45:25 time: 0.8479 data_time: 0.1144 memory: 14974 loss_prob: 0.8362 loss_thr: 0.5107 loss_db: 0.1409 loss: 1.4878 08/28 18:23:48 - mmengine - INFO - Epoch(train) [273][35/63] lr: 5.5531e-03 eta: 14:45:25 time: 0.9939 data_time: 0.0585 memory: 14974 loss_prob: 0.8582 loss_thr: 0.5018 loss_db: 0.1411 loss: 1.5010 08/28 18:23:52 - mmengine - INFO - Epoch(train) [273][40/63] lr: 5.5531e-03 eta: 14:45:20 time: 1.0272 data_time: 0.0897 memory: 14974 loss_prob: 0.9236 loss_thr: 0.5367 loss_db: 0.1509 loss: 1.6112 08/28 18:23:56 - mmengine - INFO - Epoch(train) [273][45/63] lr: 5.5531e-03 eta: 14:45:20 time: 0.8447 data_time: 0.0995 memory: 14974 loss_prob: 0.8638 loss_thr: 0.5235 loss_db: 0.1525 loss: 1.5398 08/28 18:24:00 - mmengine - INFO - Epoch(train) [273][50/63] lr: 5.5531e-03 eta: 14:45:08 time: 0.8293 data_time: 0.0645 memory: 14974 loss_prob: 0.8522 loss_thr: 0.5104 loss_db: 0.1474 loss: 1.5101 08/28 18:24:05 - mmengine - INFO - Epoch(train) [273][55/63] lr: 5.5531e-03 eta: 14:45:08 time: 0.8508 data_time: 0.0913 memory: 14974 loss_prob: 1.1025 loss_thr: 0.5203 loss_db: 0.1650 loss: 1.7878 08/28 18:24:09 - mmengine - INFO - Epoch(train) [273][60/63] lr: 5.5531e-03 eta: 14:44:57 time: 0.8485 data_time: 0.1113 memory: 14974 loss_prob: 1.1444 loss_thr: 0.5176 loss_db: 0.1736 loss: 1.8356 08/28 18:24:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:24:16 - mmengine - INFO - Epoch(train) [274][5/63] lr: 5.5477e-03 eta: 14:44:57 time: 0.9075 data_time: 0.1765 memory: 14974 loss_prob: 0.8754 loss_thr: 0.5093 loss_db: 0.1447 loss: 1.5295 08/28 18:24:20 - mmengine - INFO - Epoch(train) [274][10/63] lr: 5.5477e-03 eta: 14:44:37 time: 0.9533 data_time: 0.2034 memory: 14974 loss_prob: 0.9135 loss_thr: 0.5162 loss_db: 0.1477 loss: 1.5775 08/28 18:24:24 - mmengine - INFO - Epoch(train) [274][15/63] lr: 5.5477e-03 eta: 14:44:37 time: 0.8051 data_time: 0.0777 memory: 14974 loss_prob: 0.9191 loss_thr: 0.5014 loss_db: 0.1482 loss: 1.5687 08/28 18:24:28 - mmengine - INFO - Epoch(train) [274][20/63] lr: 5.5477e-03 eta: 14:44:25 time: 0.8094 data_time: 0.0707 memory: 14974 loss_prob: 0.9211 loss_thr: 0.5041 loss_db: 0.1486 loss: 1.5738 08/28 18:24:33 - mmengine - INFO - Epoch(train) [274][25/63] lr: 5.5477e-03 eta: 14:44:25 time: 0.8774 data_time: 0.1305 memory: 14974 loss_prob: 0.8567 loss_thr: 0.5108 loss_db: 0.1346 loss: 1.5022 08/28 18:24:38 - mmengine - INFO - Epoch(train) [274][30/63] lr: 5.5477e-03 eta: 14:44:18 time: 0.9744 data_time: 0.1231 memory: 14974 loss_prob: 0.9487 loss_thr: 0.5312 loss_db: 0.1547 loss: 1.6346 08/28 18:24:44 - mmengine - INFO - Epoch(train) [274][35/63] lr: 5.5477e-03 eta: 14:44:18 time: 1.0797 data_time: 0.0709 memory: 14974 loss_prob: 0.9776 loss_thr: 0.5481 loss_db: 0.1629 loss: 1.6886 08/28 18:24:48 - mmengine - INFO - Epoch(train) [274][40/63] lr: 5.5477e-03 eta: 14:44:13 time: 1.0201 data_time: 0.1235 memory: 14974 loss_prob: 0.9539 loss_thr: 0.5279 loss_db: 0.1613 loss: 1.6431 08/28 18:24:53 - mmengine - INFO - Epoch(train) [274][45/63] lr: 5.5477e-03 eta: 14:44:13 time: 0.9659 data_time: 0.1788 memory: 14974 loss_prob: 0.9042 loss_thr: 0.5036 loss_db: 0.1533 loss: 1.5611 08/28 18:24:59 - mmengine - INFO - Epoch(train) [274][50/63] lr: 5.5477e-03 eta: 14:44:09 time: 1.0789 data_time: 0.1320 memory: 14974 loss_prob: 0.8011 loss_thr: 0.4887 loss_db: 0.1358 loss: 1.4256 08/28 18:25:04 - mmengine - INFO - Epoch(train) [274][55/63] lr: 5.5477e-03 eta: 14:44:09 time: 1.0222 data_time: 0.0979 memory: 14974 loss_prob: 0.8015 loss_thr: 0.4905 loss_db: 0.1363 loss: 1.4284 08/28 18:25:08 - mmengine - INFO - Epoch(train) [274][60/63] lr: 5.5477e-03 eta: 14:44:01 time: 0.9191 data_time: 0.0828 memory: 14974 loss_prob: 0.8763 loss_thr: 0.5215 loss_db: 0.1448 loss: 1.5425 08/28 18:25:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:25:16 - mmengine - INFO - Epoch(train) [275][5/63] lr: 5.5423e-03 eta: 14:44:01 time: 0.9790 data_time: 0.1734 memory: 14974 loss_prob: 0.9120 loss_thr: 0.5055 loss_db: 0.1519 loss: 1.5695 08/28 18:25:20 - mmengine - INFO - Epoch(train) [275][10/63] lr: 5.5423e-03 eta: 14:43:42 time: 0.9817 data_time: 0.2298 memory: 14974 loss_prob: 0.8453 loss_thr: 0.4875 loss_db: 0.1409 loss: 1.4737 08/28 18:25:24 - mmengine - INFO - Epoch(train) [275][15/63] lr: 5.5423e-03 eta: 14:43:42 time: 0.8461 data_time: 0.1037 memory: 14974 loss_prob: 0.7981 loss_thr: 0.4806 loss_db: 0.1319 loss: 1.4105 08/28 18:25:28 - mmengine - INFO - Epoch(train) [275][20/63] lr: 5.5423e-03 eta: 14:43:29 time: 0.7881 data_time: 0.0538 memory: 14974 loss_prob: 0.8245 loss_thr: 0.4895 loss_db: 0.1375 loss: 1.4516 08/28 18:25:32 - mmengine - INFO - Epoch(train) [275][25/63] lr: 5.5423e-03 eta: 14:43:29 time: 0.8063 data_time: 0.0695 memory: 14974 loss_prob: 0.8261 loss_thr: 0.4877 loss_db: 0.1379 loss: 1.4517 08/28 18:25:37 - mmengine - INFO - Epoch(train) [275][30/63] lr: 5.5423e-03 eta: 14:43:17 time: 0.8405 data_time: 0.0633 memory: 14974 loss_prob: 0.8259 loss_thr: 0.4940 loss_db: 0.1363 loss: 1.4562 08/28 18:25:41 - mmengine - INFO - Epoch(train) [275][35/63] lr: 5.5423e-03 eta: 14:43:17 time: 0.8200 data_time: 0.0577 memory: 14974 loss_prob: 0.8906 loss_thr: 0.5177 loss_db: 0.1482 loss: 1.5564 08/28 18:25:45 - mmengine - INFO - Epoch(train) [275][40/63] lr: 5.5423e-03 eta: 14:43:07 time: 0.8578 data_time: 0.1227 memory: 14974 loss_prob: 0.8469 loss_thr: 0.5045 loss_db: 0.1420 loss: 1.4933 08/28 18:25:49 - mmengine - INFO - Epoch(train) [275][45/63] lr: 5.5423e-03 eta: 14:43:07 time: 0.8619 data_time: 0.1250 memory: 14974 loss_prob: 0.7683 loss_thr: 0.4781 loss_db: 0.1280 loss: 1.3743 08/28 18:25:54 - mmengine - INFO - Epoch(train) [275][50/63] lr: 5.5423e-03 eta: 14:42:55 time: 0.8465 data_time: 0.0776 memory: 14974 loss_prob: 0.7808 loss_thr: 0.4749 loss_db: 0.1324 loss: 1.3882 08/28 18:25:59 - mmengine - INFO - Epoch(train) [275][55/63] lr: 5.5423e-03 eta: 14:42:55 time: 1.0216 data_time: 0.1329 memory: 14974 loss_prob: 0.8622 loss_thr: 0.4985 loss_db: 0.1425 loss: 1.5032 08/28 18:26:04 - mmengine - INFO - Epoch(train) [275][60/63] lr: 5.5423e-03 eta: 14:42:50 time: 1.0248 data_time: 0.1397 memory: 14974 loss_prob: 0.8421 loss_thr: 0.5044 loss_db: 0.1389 loss: 1.4854 08/28 18:26:07 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:26:12 - mmengine - INFO - Epoch(train) [276][5/63] lr: 5.5369e-03 eta: 14:42:50 time: 0.9733 data_time: 0.2558 memory: 14974 loss_prob: 0.7766 loss_thr: 0.4858 loss_db: 0.1302 loss: 1.3926 08/28 18:26:17 - mmengine - INFO - Epoch(train) [276][10/63] lr: 5.5369e-03 eta: 14:42:33 time: 1.0288 data_time: 0.2051 memory: 14974 loss_prob: 0.8465 loss_thr: 0.5137 loss_db: 0.1370 loss: 1.4972 08/28 18:26:22 - mmengine - INFO - Epoch(train) [276][15/63] lr: 5.5369e-03 eta: 14:42:33 time: 0.9294 data_time: 0.1003 memory: 14974 loss_prob: 0.9963 loss_thr: 0.5141 loss_db: 0.1506 loss: 1.6610 08/28 18:26:26 - mmengine - INFO - Epoch(train) [276][20/63] lr: 5.5369e-03 eta: 14:42:23 time: 0.8886 data_time: 0.0890 memory: 14974 loss_prob: 1.0693 loss_thr: 0.5279 loss_db: 0.1636 loss: 1.7608 08/28 18:26:30 - mmengine - INFO - Epoch(train) [276][25/63] lr: 5.5369e-03 eta: 14:42:23 time: 0.8472 data_time: 0.0546 memory: 14974 loss_prob: 0.9386 loss_thr: 0.5374 loss_db: 0.1568 loss: 1.6329 08/28 18:26:34 - mmengine - INFO - Epoch(train) [276][30/63] lr: 5.5369e-03 eta: 14:42:12 time: 0.8384 data_time: 0.0916 memory: 14974 loss_prob: 0.8623 loss_thr: 0.5245 loss_db: 0.1487 loss: 1.5355 08/28 18:26:38 - mmengine - INFO - Epoch(train) [276][35/63] lr: 5.5369e-03 eta: 14:42:12 time: 0.8174 data_time: 0.0952 memory: 14974 loss_prob: 0.8254 loss_thr: 0.4886 loss_db: 0.1392 loss: 1.4532 08/28 18:26:42 - mmengine - INFO - Epoch(train) [276][40/63] lr: 5.5369e-03 eta: 14:41:59 time: 0.7855 data_time: 0.0515 memory: 14974 loss_prob: 0.8275 loss_thr: 0.4699 loss_db: 0.1362 loss: 1.4335 08/28 18:26:47 - mmengine - INFO - Epoch(train) [276][45/63] lr: 5.5369e-03 eta: 14:41:59 time: 0.8616 data_time: 0.0802 memory: 14974 loss_prob: 0.7928 loss_thr: 0.4686 loss_db: 0.1325 loss: 1.3939 08/28 18:26:51 - mmengine - INFO - Epoch(train) [276][50/63] lr: 5.5369e-03 eta: 14:41:48 time: 0.8550 data_time: 0.0786 memory: 14974 loss_prob: 0.6949 loss_thr: 0.4394 loss_db: 0.1188 loss: 1.2531 08/28 18:26:55 - mmengine - INFO - Epoch(train) [276][55/63] lr: 5.5369e-03 eta: 14:41:48 time: 0.7874 data_time: 0.0500 memory: 14974 loss_prob: 0.7337 loss_thr: 0.4480 loss_db: 0.1263 loss: 1.3080 08/28 18:26:59 - mmengine - INFO - Epoch(train) [276][60/63] lr: 5.5369e-03 eta: 14:41:37 time: 0.8510 data_time: 0.1163 memory: 14974 loss_prob: 0.7594 loss_thr: 0.4669 loss_db: 0.1297 loss: 1.3559 08/28 18:27:01 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:27:07 - mmengine - INFO - Epoch(train) [277][5/63] lr: 5.5315e-03 eta: 14:41:37 time: 0.8821 data_time: 0.1781 memory: 14974 loss_prob: 0.7516 loss_thr: 0.4770 loss_db: 0.1277 loss: 1.3562 08/28 18:27:12 - mmengine - INFO - Epoch(train) [277][10/63] lr: 5.5315e-03 eta: 14:41:22 time: 1.0949 data_time: 0.2477 memory: 14974 loss_prob: 0.8643 loss_thr: 0.5312 loss_db: 0.1409 loss: 1.5363 08/28 18:27:17 - mmengine - INFO - Epoch(train) [277][15/63] lr: 5.5315e-03 eta: 14:41:22 time: 1.0281 data_time: 0.1281 memory: 14974 loss_prob: 0.8431 loss_thr: 0.5162 loss_db: 0.1379 loss: 1.4972 08/28 18:27:21 - mmengine - INFO - Epoch(train) [277][20/63] lr: 5.5315e-03 eta: 14:41:14 time: 0.9216 data_time: 0.1247 memory: 14974 loss_prob: 0.6860 loss_thr: 0.4456 loss_db: 0.1162 loss: 1.2478 08/28 18:27:26 - mmengine - INFO - Epoch(train) [277][25/63] lr: 5.5315e-03 eta: 14:41:14 time: 0.8692 data_time: 0.1288 memory: 14974 loss_prob: 0.7139 loss_thr: 0.4695 loss_db: 0.1207 loss: 1.3040 08/28 18:27:30 - mmengine - INFO - Epoch(train) [277][30/63] lr: 5.5315e-03 eta: 14:41:04 time: 0.9003 data_time: 0.0745 memory: 14974 loss_prob: 0.8006 loss_thr: 0.5031 loss_db: 0.1338 loss: 1.4375 08/28 18:27:35 - mmengine - INFO - Epoch(train) [277][35/63] lr: 5.5315e-03 eta: 14:41:04 time: 0.9723 data_time: 0.1046 memory: 14974 loss_prob: 0.8020 loss_thr: 0.4978 loss_db: 0.1341 loss: 1.4339 08/28 18:27:39 - mmengine - INFO - Epoch(train) [277][40/63] lr: 5.5315e-03 eta: 14:40:54 time: 0.8710 data_time: 0.0857 memory: 14974 loss_prob: 0.7580 loss_thr: 0.4812 loss_db: 0.1292 loss: 1.3684 08/28 18:27:44 - mmengine - INFO - Epoch(train) [277][45/63] lr: 5.5315e-03 eta: 14:40:54 time: 0.8339 data_time: 0.0504 memory: 14974 loss_prob: 0.7317 loss_thr: 0.4817 loss_db: 0.1274 loss: 1.3408 08/28 18:27:48 - mmengine - INFO - Epoch(train) [277][50/63] lr: 5.5315e-03 eta: 14:40:44 time: 0.8797 data_time: 0.1065 memory: 14974 loss_prob: 0.8870 loss_thr: 0.5016 loss_db: 0.1407 loss: 1.5293 08/28 18:27:52 - mmengine - INFO - Epoch(train) [277][55/63] lr: 5.5315e-03 eta: 14:40:44 time: 0.8461 data_time: 0.1062 memory: 14974 loss_prob: 0.9786 loss_thr: 0.5112 loss_db: 0.1518 loss: 1.6416 08/28 18:27:57 - mmengine - INFO - Epoch(train) [277][60/63] lr: 5.5315e-03 eta: 14:40:35 time: 0.9072 data_time: 0.0824 memory: 14974 loss_prob: 0.8706 loss_thr: 0.4917 loss_db: 0.1415 loss: 1.5038 08/28 18:27:59 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:28:05 - mmengine - INFO - Epoch(train) [278][5/63] lr: 5.5261e-03 eta: 14:40:35 time: 0.9438 data_time: 0.2283 memory: 14974 loss_prob: 0.8808 loss_thr: 0.5137 loss_db: 0.1416 loss: 1.5361 08/28 18:28:09 - mmengine - INFO - Epoch(train) [278][10/63] lr: 5.5261e-03 eta: 14:40:15 time: 0.9606 data_time: 0.2154 memory: 14974 loss_prob: 0.8447 loss_thr: 0.5178 loss_db: 0.1371 loss: 1.4997 08/28 18:28:14 - mmengine - INFO - Epoch(train) [278][15/63] lr: 5.5261e-03 eta: 14:40:15 time: 0.8903 data_time: 0.1257 memory: 14974 loss_prob: 0.7313 loss_thr: 0.4719 loss_db: 0.1211 loss: 1.3243 08/28 18:28:18 - mmengine - INFO - Epoch(train) [278][20/63] lr: 5.5261e-03 eta: 14:40:06 time: 0.8996 data_time: 0.1324 memory: 14974 loss_prob: 0.7103 loss_thr: 0.4719 loss_db: 0.1190 loss: 1.3012 08/28 18:28:22 - mmengine - INFO - Epoch(train) [278][25/63] lr: 5.5261e-03 eta: 14:40:06 time: 0.8087 data_time: 0.0758 memory: 14974 loss_prob: 0.7265 loss_thr: 0.4787 loss_db: 0.1216 loss: 1.3268 08/28 18:28:27 - mmengine - INFO - Epoch(train) [278][30/63] lr: 5.5261e-03 eta: 14:39:59 time: 0.9567 data_time: 0.1137 memory: 14974 loss_prob: 0.7911 loss_thr: 0.4993 loss_db: 0.1323 loss: 1.4228 08/28 18:28:32 - mmengine - INFO - Epoch(train) [278][35/63] lr: 5.5261e-03 eta: 14:39:59 time: 0.9677 data_time: 0.1156 memory: 14974 loss_prob: 0.7815 loss_thr: 0.5005 loss_db: 0.1312 loss: 1.4132 08/28 18:28:36 - mmengine - INFO - Epoch(train) [278][40/63] lr: 5.5261e-03 eta: 14:39:47 time: 0.8351 data_time: 0.0713 memory: 14974 loss_prob: 0.7231 loss_thr: 0.4808 loss_db: 0.1209 loss: 1.3248 08/28 18:28:40 - mmengine - INFO - Epoch(train) [278][45/63] lr: 5.5261e-03 eta: 14:39:47 time: 0.8782 data_time: 0.1193 memory: 14974 loss_prob: 0.7182 loss_thr: 0.4731 loss_db: 0.1217 loss: 1.3131 08/28 18:28:45 - mmengine - INFO - Epoch(train) [278][50/63] lr: 5.5261e-03 eta: 14:39:39 time: 0.9371 data_time: 0.1212 memory: 14974 loss_prob: 0.7287 loss_thr: 0.4599 loss_db: 0.1258 loss: 1.3144 08/28 18:28:49 - mmengine - INFO - Epoch(train) [278][55/63] lr: 5.5261e-03 eta: 14:39:39 time: 0.9066 data_time: 0.0578 memory: 14974 loss_prob: 0.7577 loss_thr: 0.4750 loss_db: 0.1291 loss: 1.3618 08/28 18:28:54 - mmengine - INFO - Epoch(train) [278][60/63] lr: 5.5261e-03 eta: 14:39:30 time: 0.8974 data_time: 0.0863 memory: 14974 loss_prob: 0.7577 loss_thr: 0.4819 loss_db: 0.1262 loss: 1.3659 08/28 18:28:57 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:29:02 - mmengine - INFO - Epoch(train) [279][5/63] lr: 5.5207e-03 eta: 14:39:30 time: 0.9749 data_time: 0.1949 memory: 14974 loss_prob: 0.7858 loss_thr: 0.4802 loss_db: 0.1286 loss: 1.3946 08/28 18:29:07 - mmengine - INFO - Epoch(train) [279][10/63] lr: 5.5207e-03 eta: 14:39:11 time: 0.9694 data_time: 0.2344 memory: 14974 loss_prob: 0.7899 loss_thr: 0.4942 loss_db: 0.1341 loss: 1.4182 08/28 18:29:11 - mmengine - INFO - Epoch(train) [279][15/63] lr: 5.5207e-03 eta: 14:39:11 time: 0.8474 data_time: 0.0982 memory: 14974 loss_prob: 0.8310 loss_thr: 0.5149 loss_db: 0.1410 loss: 1.4869 08/28 18:29:15 - mmengine - INFO - Epoch(train) [279][20/63] lr: 5.5207e-03 eta: 14:38:59 time: 0.8250 data_time: 0.0455 memory: 14974 loss_prob: 0.7735 loss_thr: 0.4969 loss_db: 0.1316 loss: 1.4020 08/28 18:29:19 - mmengine - INFO - Epoch(train) [279][25/63] lr: 5.5207e-03 eta: 14:38:59 time: 0.8335 data_time: 0.0765 memory: 14974 loss_prob: 0.7162 loss_thr: 0.4528 loss_db: 0.1224 loss: 1.2914 08/28 18:29:23 - mmengine - INFO - Epoch(train) [279][30/63] lr: 5.5207e-03 eta: 14:38:46 time: 0.7986 data_time: 0.0664 memory: 14974 loss_prob: 0.7050 loss_thr: 0.4515 loss_db: 0.1186 loss: 1.2752 08/28 18:29:27 - mmengine - INFO - Epoch(train) [279][35/63] lr: 5.5207e-03 eta: 14:38:46 time: 0.7892 data_time: 0.0375 memory: 14974 loss_prob: 0.7316 loss_thr: 0.4621 loss_db: 0.1240 loss: 1.3177 08/28 18:29:31 - mmengine - INFO - Epoch(train) [279][40/63] lr: 5.5207e-03 eta: 14:38:35 time: 0.8522 data_time: 0.1112 memory: 14974 loss_prob: 0.7566 loss_thr: 0.4625 loss_db: 0.1266 loss: 1.3456 08/28 18:29:35 - mmengine - INFO - Epoch(train) [279][45/63] lr: 5.5207e-03 eta: 14:38:35 time: 0.8506 data_time: 0.1187 memory: 14974 loss_prob: 0.7550 loss_thr: 0.4864 loss_db: 0.1237 loss: 1.3650 08/28 18:29:40 - mmengine - INFO - Epoch(train) [279][50/63] lr: 5.5207e-03 eta: 14:38:24 time: 0.8559 data_time: 0.0730 memory: 14974 loss_prob: 0.7326 loss_thr: 0.4926 loss_db: 0.1226 loss: 1.3478 08/28 18:29:45 - mmengine - INFO - Epoch(train) [279][55/63] lr: 5.5207e-03 eta: 14:38:24 time: 0.9209 data_time: 0.1346 memory: 14974 loss_prob: 0.6990 loss_thr: 0.4688 loss_db: 0.1208 loss: 1.2885 08/28 18:29:49 - mmengine - INFO - Epoch(train) [279][60/63] lr: 5.5207e-03 eta: 14:38:17 time: 0.9540 data_time: 0.1255 memory: 14974 loss_prob: 0.6923 loss_thr: 0.4526 loss_db: 0.1183 loss: 1.2632 08/28 18:29:52 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:29:58 - mmengine - INFO - Epoch(train) [280][5/63] lr: 5.5153e-03 eta: 14:38:17 time: 0.9627 data_time: 0.1995 memory: 14974 loss_prob: 0.7696 loss_thr: 0.4856 loss_db: 0.1312 loss: 1.3864 08/28 18:30:02 - mmengine - INFO - Epoch(train) [280][10/63] lr: 5.5153e-03 eta: 14:37:59 time: 0.9956 data_time: 0.2569 memory: 14974 loss_prob: 0.7768 loss_thr: 0.4849 loss_db: 0.1295 loss: 1.3912 08/28 18:30:07 - mmengine - INFO - Epoch(train) [280][15/63] lr: 5.5153e-03 eta: 14:37:59 time: 0.9838 data_time: 0.1369 memory: 14974 loss_prob: 0.8010 loss_thr: 0.4940 loss_db: 0.1331 loss: 1.4281 08/28 18:30:12 - mmengine - INFO - Epoch(train) [280][20/63] lr: 5.5153e-03 eta: 14:37:52 time: 0.9707 data_time: 0.0773 memory: 14974 loss_prob: 0.7647 loss_thr: 0.4831 loss_db: 0.1303 loss: 1.3780 08/28 18:30:16 - mmengine - INFO - Epoch(train) [280][25/63] lr: 5.5153e-03 eta: 14:37:52 time: 0.8932 data_time: 0.0962 memory: 14974 loss_prob: 0.7316 loss_thr: 0.4719 loss_db: 0.1241 loss: 1.3276 08/28 18:30:21 - mmengine - INFO - Epoch(train) [280][30/63] lr: 5.5153e-03 eta: 14:37:44 time: 0.9457 data_time: 0.0867 memory: 14974 loss_prob: 0.7367 loss_thr: 0.4770 loss_db: 0.1234 loss: 1.3370 08/28 18:30:25 - mmengine - INFO - Epoch(train) [280][35/63] lr: 5.5153e-03 eta: 14:37:44 time: 0.8865 data_time: 0.0544 memory: 14974 loss_prob: 0.7597 loss_thr: 0.4914 loss_db: 0.1311 loss: 1.3823 08/28 18:30:30 - mmengine - INFO - Epoch(train) [280][40/63] lr: 5.5153e-03 eta: 14:37:33 time: 0.8395 data_time: 0.1040 memory: 14974 loss_prob: 0.7401 loss_thr: 0.4686 loss_db: 0.1276 loss: 1.3363 08/28 18:30:34 - mmengine - INFO - Epoch(train) [280][45/63] lr: 5.5153e-03 eta: 14:37:33 time: 0.8606 data_time: 0.1043 memory: 14974 loss_prob: 0.7545 loss_thr: 0.4784 loss_db: 0.1263 loss: 1.3592 08/28 18:30:38 - mmengine - INFO - Epoch(train) [280][50/63] lr: 5.5153e-03 eta: 14:37:21 time: 0.8249 data_time: 0.0584 memory: 14974 loss_prob: 0.7238 loss_thr: 0.4821 loss_db: 0.1231 loss: 1.3290 08/28 18:30:42 - mmengine - INFO - Epoch(train) [280][55/63] lr: 5.5153e-03 eta: 14:37:21 time: 0.8431 data_time: 0.0629 memory: 14974 loss_prob: 0.7204 loss_thr: 0.4656 loss_db: 0.1233 loss: 1.3093 08/28 18:30:46 - mmengine - INFO - Epoch(train) [280][60/63] lr: 5.5153e-03 eta: 14:37:10 time: 0.8579 data_time: 0.0861 memory: 14974 loss_prob: 0.7812 loss_thr: 0.4824 loss_db: 0.1312 loss: 1.3948 08/28 18:30:49 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:30:49 - mmengine - INFO - Saving checkpoint at 280 epochs 08/28 18:30:56 - mmengine - INFO - Epoch(val) [280][5/500] eta: 14:37:10 time: 0.0898 data_time: 0.0186 memory: 14974 08/28 18:30:56 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:00:44 time: 0.0917 data_time: 0.0195 memory: 1021 08/28 18:30:56 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:00:44 time: 0.0453 data_time: 0.0029 memory: 1021 08/28 18:30:57 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:21 time: 0.0443 data_time: 0.0020 memory: 1021 08/28 18:30:57 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:21 time: 0.0434 data_time: 0.0020 memory: 1021 08/28 18:30:57 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:22 time: 0.0468 data_time: 0.0022 memory: 1021 08/28 18:30:57 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:22 time: 0.0474 data_time: 0.0023 memory: 1021 08/28 18:30:58 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:21 time: 0.0472 data_time: 0.0024 memory: 1021 08/28 18:30:58 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:21 time: 0.0528 data_time: 0.0069 memory: 1021 08/28 18:30:58 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:22 time: 0.0502 data_time: 0.0067 memory: 1021 08/28 18:30:58 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:22 time: 0.0461 data_time: 0.0020 memory: 1021 08/28 18:30:58 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:19 time: 0.0444 data_time: 0.0020 memory: 1021 08/28 18:30:59 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:19 time: 0.0454 data_time: 0.0021 memory: 1021 08/28 18:30:59 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:00:20 time: 0.0479 data_time: 0.0023 memory: 1021 08/28 18:30:59 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:00:20 time: 0.0458 data_time: 0.0025 memory: 1021 08/28 18:30:59 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:17 time: 0.0426 data_time: 0.0023 memory: 1021 08/28 18:31:00 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:17 time: 0.0424 data_time: 0.0029 memory: 1021 08/28 18:31:00 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:19 time: 0.0469 data_time: 0.0030 memory: 1021 08/28 18:31:00 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:19 time: 0.0487 data_time: 0.0023 memory: 1021 08/28 18:31:00 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:19 time: 0.0484 data_time: 0.0022 memory: 1021 08/28 18:31:01 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:19 time: 0.0494 data_time: 0.0022 memory: 1021 08/28 18:31:01 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:18 time: 0.0472 data_time: 0.0025 memory: 1021 08/28 18:31:01 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:18 time: 0.0462 data_time: 0.0026 memory: 1021 08/28 18:31:01 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:17 time: 0.0466 data_time: 0.0024 memory: 1021 08/28 18:31:02 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:17 time: 0.0475 data_time: 0.0026 memory: 1021 08/28 18:31:02 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:18 time: 0.0510 data_time: 0.0031 memory: 1021 08/28 18:31:02 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:18 time: 0.0488 data_time: 0.0028 memory: 1021 08/28 18:31:02 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:00:17 time: 0.0474 data_time: 0.0024 memory: 1021 08/28 18:31:03 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:00:17 time: 0.0553 data_time: 0.0026 memory: 1021 08/28 18:31:03 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:00:18 time: 0.0534 data_time: 0.0024 memory: 1021 08/28 18:31:03 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:00:18 time: 0.0546 data_time: 0.0024 memory: 1021 08/28 18:31:03 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:19 time: 0.0572 data_time: 0.0026 memory: 1021 08/28 18:31:04 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:19 time: 0.0539 data_time: 0.0026 memory: 1021 08/28 18:31:04 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:18 time: 0.0552 data_time: 0.0027 memory: 1021 08/28 18:31:04 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:18 time: 0.0506 data_time: 0.0024 memory: 1021 08/28 18:31:04 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:16 time: 0.0522 data_time: 0.0023 memory: 1021 08/28 18:31:05 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:16 time: 0.0528 data_time: 0.0022 memory: 1021 08/28 18:31:05 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:00:16 time: 0.0531 data_time: 0.0021 memory: 1021 08/28 18:31:05 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:00:16 time: 0.0521 data_time: 0.0021 memory: 1021 08/28 18:31:06 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:15 time: 0.0532 data_time: 0.0021 memory: 1021 08/28 18:31:06 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:15 time: 0.0558 data_time: 0.0021 memory: 1021 08/28 18:31:06 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:13 time: 0.0476 data_time: 0.0021 memory: 1021 08/28 18:31:06 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:13 time: 0.0456 data_time: 0.0021 memory: 1021 08/28 18:31:06 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:13 time: 0.0468 data_time: 0.0021 memory: 1021 08/28 18:31:07 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:13 time: 0.0459 data_time: 0.0022 memory: 1021 08/28 18:31:07 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:00:11 time: 0.0435 data_time: 0.0022 memory: 1021 08/28 18:31:07 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:00:11 time: 0.0437 data_time: 0.0020 memory: 1021 08/28 18:31:07 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:11 time: 0.0459 data_time: 0.0020 memory: 1021 08/28 18:31:08 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:11 time: 0.0441 data_time: 0.0020 memory: 1021 08/28 18:31:08 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:11 time: 0.0441 data_time: 0.0020 memory: 1021 08/28 18:31:08 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:11 time: 0.0441 data_time: 0.0020 memory: 1021 08/28 18:31:08 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:10 time: 0.0440 data_time: 0.0020 memory: 1021 08/28 18:31:08 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:10 time: 0.0440 data_time: 0.0020 memory: 1021 08/28 18:31:09 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:10 time: 0.0439 data_time: 0.0020 memory: 1021 08/28 18:31:09 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:10 time: 0.0439 data_time: 0.0020 memory: 1021 08/28 18:31:09 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:10 time: 0.0459 data_time: 0.0020 memory: 1021 08/28 18:31:09 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:10 time: 0.0460 data_time: 0.0021 memory: 1021 08/28 18:31:10 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:09 time: 0.0458 data_time: 0.0022 memory: 1021 08/28 18:31:10 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:09 time: 0.0467 data_time: 0.0020 memory: 1021 08/28 18:31:10 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:10 time: 0.0507 data_time: 0.0081 memory: 1021 08/28 18:31:10 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:10 time: 0.0500 data_time: 0.0081 memory: 1021 08/28 18:31:11 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:08 time: 0.0440 data_time: 0.0020 memory: 1021 08/28 18:31:11 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:08 time: 0.0466 data_time: 0.0020 memory: 1021 08/28 18:31:11 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:08 time: 0.0462 data_time: 0.0021 memory: 1021 08/28 18:31:11 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:08 time: 0.0546 data_time: 0.0021 memory: 1021 08/28 18:31:12 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:09 time: 0.0543 data_time: 0.0020 memory: 1021 08/28 18:31:12 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:09 time: 0.0425 data_time: 0.0020 memory: 1021 08/28 18:31:12 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:08 time: 0.0527 data_time: 0.0021 memory: 1021 08/28 18:31:12 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:08 time: 0.0544 data_time: 0.0021 memory: 1021 08/28 18:31:14 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:22 time: 0.1494 data_time: 0.0065 memory: 1021 08/28 18:31:14 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:22 time: 0.1496 data_time: 0.0080 memory: 1021 08/28 18:31:14 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:06 time: 0.0459 data_time: 0.0038 memory: 1021 08/28 18:31:14 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:06 time: 0.0459 data_time: 0.0024 memory: 1021 08/28 18:31:14 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:05 time: 0.0435 data_time: 0.0022 memory: 1021 08/28 18:31:15 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:05 time: 0.0419 data_time: 0.0021 memory: 1021 08/28 18:31:15 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:05 time: 0.0459 data_time: 0.0029 memory: 1021 08/28 18:31:15 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:05 time: 0.0470 data_time: 0.0030 memory: 1021 08/28 18:31:15 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:04 time: 0.0440 data_time: 0.0021 memory: 1021 08/28 18:31:16 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:04 time: 0.0438 data_time: 0.0021 memory: 1021 08/28 18:31:16 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:04 time: 0.0445 data_time: 0.0020 memory: 1021 08/28 18:31:16 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:04 time: 0.0452 data_time: 0.0021 memory: 1021 08/28 18:31:16 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:04 time: 0.0464 data_time: 0.0022 memory: 1021 08/28 18:31:16 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:04 time: 0.0451 data_time: 0.0021 memory: 1021 08/28 18:31:17 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:03 time: 0.0417 data_time: 0.0020 memory: 1021 08/28 18:31:17 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:03 time: 0.0427 data_time: 0.0020 memory: 1021 08/28 18:31:17 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:03 time: 0.0443 data_time: 0.0020 memory: 1021 08/28 18:31:17 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:03 time: 0.0439 data_time: 0.0020 memory: 1021 08/28 18:31:18 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:02 time: 0.0443 data_time: 0.0020 memory: 1021 08/28 18:31:18 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:02 time: 0.0458 data_time: 0.0020 memory: 1021 08/28 18:31:18 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:02 time: 0.0465 data_time: 0.0020 memory: 1021 08/28 18:31:18 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:02 time: 0.0464 data_time: 0.0022 memory: 1021 08/28 18:31:19 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:01 time: 0.0485 data_time: 0.0026 memory: 1021 08/28 18:31:19 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:01 time: 0.0476 data_time: 0.0025 memory: 1021 08/28 18:31:19 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:01 time: 0.0443 data_time: 0.0021 memory: 1021 08/28 18:31:19 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:01 time: 0.0428 data_time: 0.0021 memory: 1021 08/28 18:31:19 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:00 time: 0.0432 data_time: 0.0021 memory: 1021 08/28 18:31:20 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:00 time: 0.0469 data_time: 0.0020 memory: 1021 08/28 18:31:20 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0533 data_time: 0.0021 memory: 1021 08/28 18:31:20 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 0.0585 data_time: 0.0054 memory: 1021 08/28 18:31:20 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.0550 data_time: 0.0054 memory: 1021 08/28 18:31:20 - mmengine - INFO - Evaluating hmean-iou... 08/28 18:31:21 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.8214, precision: 0.7535, hmean: 0.7860 08/28 18:31:21 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.8214, precision: 0.7991, hmean: 0.8101 08/28 18:31:21 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.8180, precision: 0.8324, hmean: 0.8252 08/28 18:31:21 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.8113, precision: 0.8615, hmean: 0.8356 08/28 18:31:21 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7776, precision: 0.8972, hmean: 0.8331 08/28 18:31:21 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.5542, precision: 0.9305, hmean: 0.6946 08/28 18:31:21 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.0274, precision: 0.9048, hmean: 0.0533 08/28 18:31:21 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.8615 icdar/recall: 0.8113 icdar/hmean: 0.8356 08/28 18:31:27 - mmengine - INFO - Epoch(train) [281][5/63] lr: 5.5099e-03 eta: 0:00:00 time: 0.9436 data_time: 0.2151 memory: 14974 loss_prob: 0.7693 loss_thr: 0.5020 loss_db: 0.1274 loss: 1.3987 08/28 18:31:31 - mmengine - INFO - Epoch(train) [281][10/63] lr: 5.5099e-03 eta: 14:36:52 time: 0.9845 data_time: 0.2087 memory: 14974 loss_prob: 0.7413 loss_thr: 0.4778 loss_db: 0.1262 loss: 1.3453 08/28 18:31:36 - mmengine - INFO - Epoch(train) [281][15/63] lr: 5.5099e-03 eta: 14:36:52 time: 0.8652 data_time: 0.0718 memory: 14974 loss_prob: 0.6894 loss_thr: 0.4376 loss_db: 0.1184 loss: 1.2453 08/28 18:31:40 - mmengine - INFO - Epoch(train) [281][20/63] lr: 5.5099e-03 eta: 14:36:41 time: 0.8632 data_time: 0.0734 memory: 14974 loss_prob: 0.6995 loss_thr: 0.4526 loss_db: 0.1211 loss: 1.2732 08/28 18:31:44 - mmengine - INFO - Epoch(train) [281][25/63] lr: 5.5099e-03 eta: 14:36:41 time: 0.7957 data_time: 0.0592 memory: 14974 loss_prob: 0.7366 loss_thr: 0.4851 loss_db: 0.1269 loss: 1.3486 08/28 18:31:48 - mmengine - INFO - Epoch(train) [281][30/63] lr: 5.5099e-03 eta: 14:36:29 time: 0.8186 data_time: 0.0953 memory: 14974 loss_prob: 0.7520 loss_thr: 0.4875 loss_db: 0.1260 loss: 1.3655 08/28 18:31:52 - mmengine - INFO - Epoch(train) [281][35/63] lr: 5.5099e-03 eta: 14:36:29 time: 0.8049 data_time: 0.0859 memory: 14974 loss_prob: 0.7153 loss_thr: 0.4713 loss_db: 0.1171 loss: 1.3037 08/28 18:31:56 - mmengine - INFO - Epoch(train) [281][40/63] lr: 5.5099e-03 eta: 14:36:18 time: 0.8305 data_time: 0.0383 memory: 14974 loss_prob: 0.7551 loss_thr: 0.4694 loss_db: 0.1198 loss: 1.3443 08/28 18:32:00 - mmengine - INFO - Epoch(train) [281][45/63] lr: 5.5099e-03 eta: 14:36:18 time: 0.8496 data_time: 0.0687 memory: 14974 loss_prob: 0.8494 loss_thr: 0.4861 loss_db: 0.1355 loss: 1.4711 08/28 18:32:04 - mmengine - INFO - Epoch(train) [281][50/63] lr: 5.5099e-03 eta: 14:36:05 time: 0.8073 data_time: 0.0819 memory: 14974 loss_prob: 0.8241 loss_thr: 0.4848 loss_db: 0.1363 loss: 1.4452 08/28 18:32:08 - mmengine - INFO - Epoch(train) [281][55/63] lr: 5.5099e-03 eta: 14:36:05 time: 0.7928 data_time: 0.0631 memory: 14974 loss_prob: 0.8159 loss_thr: 0.4867 loss_db: 0.1346 loss: 1.4371 08/28 18:32:13 - mmengine - INFO - Epoch(train) [281][60/63] lr: 5.5099e-03 eta: 14:35:56 time: 0.9046 data_time: 0.1195 memory: 14974 loss_prob: 0.7769 loss_thr: 0.4811 loss_db: 0.1313 loss: 1.3893 08/28 18:32:16 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:32:22 - mmengine - INFO - Epoch(train) [282][5/63] lr: 5.5045e-03 eta: 14:35:56 time: 1.0451 data_time: 0.1878 memory: 14974 loss_prob: 0.7461 loss_thr: 0.4741 loss_db: 0.1238 loss: 1.3440 08/28 18:32:27 - mmengine - INFO - Epoch(train) [282][10/63] lr: 5.5045e-03 eta: 14:35:41 time: 1.0821 data_time: 0.2634 memory: 14974 loss_prob: 0.7748 loss_thr: 0.5066 loss_db: 0.1302 loss: 1.4115 08/28 18:32:30 - mmengine - INFO - Epoch(train) [282][15/63] lr: 5.5045e-03 eta: 14:35:41 time: 0.8698 data_time: 0.1349 memory: 14974 loss_prob: 0.8182 loss_thr: 0.5032 loss_db: 0.1408 loss: 1.4622 08/28 18:32:35 - mmengine - INFO - Epoch(train) [282][20/63] lr: 5.5045e-03 eta: 14:35:30 time: 0.8471 data_time: 0.0626 memory: 14974 loss_prob: 0.8820 loss_thr: 0.4941 loss_db: 0.1465 loss: 1.5226 08/28 18:32:41 - mmengine - INFO - Epoch(train) [282][25/63] lr: 5.5045e-03 eta: 14:35:30 time: 1.0674 data_time: 0.1256 memory: 14974 loss_prob: 0.8781 loss_thr: 0.4906 loss_db: 0.1434 loss: 1.5121 08/28 18:32:46 - mmengine - INFO - Epoch(train) [282][30/63] lr: 5.5045e-03 eta: 14:35:26 time: 1.0508 data_time: 0.1196 memory: 14974 loss_prob: 0.7973 loss_thr: 0.4650 loss_db: 0.1357 loss: 1.3979 08/28 18:32:50 - mmengine - INFO - Epoch(train) [282][35/63] lr: 5.5045e-03 eta: 14:35:26 time: 0.9014 data_time: 0.0961 memory: 14974 loss_prob: 0.8314 loss_thr: 0.4935 loss_db: 0.1395 loss: 1.4645 08/28 18:32:54 - mmengine - INFO - Epoch(train) [282][40/63] lr: 5.5045e-03 eta: 14:35:15 time: 0.8494 data_time: 0.0879 memory: 14974 loss_prob: 0.8345 loss_thr: 0.4973 loss_db: 0.1366 loss: 1.4685 08/28 18:32:58 - mmengine - INFO - Epoch(train) [282][45/63] lr: 5.5045e-03 eta: 14:35:15 time: 0.7792 data_time: 0.0450 memory: 14974 loss_prob: 0.7617 loss_thr: 0.4806 loss_db: 0.1293 loss: 1.3716 08/28 18:33:02 - mmengine - INFO - Epoch(train) [282][50/63] lr: 5.5045e-03 eta: 14:35:03 time: 0.8299 data_time: 0.1148 memory: 14974 loss_prob: 0.7736 loss_thr: 0.4991 loss_db: 0.1336 loss: 1.4062 08/28 18:33:07 - mmengine - INFO - Epoch(train) [282][55/63] lr: 5.5045e-03 eta: 14:35:03 time: 0.8719 data_time: 0.1061 memory: 14974 loss_prob: 0.8030 loss_thr: 0.5041 loss_db: 0.1367 loss: 1.4439 08/28 18:33:11 - mmengine - INFO - Epoch(train) [282][60/63] lr: 5.5045e-03 eta: 14:34:52 time: 0.8282 data_time: 0.0469 memory: 14974 loss_prob: 0.7964 loss_thr: 0.4806 loss_db: 0.1330 loss: 1.4100 08/28 18:33:13 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:33:18 - mmengine - INFO - Epoch(train) [283][5/63] lr: 5.4991e-03 eta: 14:34:52 time: 0.9192 data_time: 0.2016 memory: 14974 loss_prob: 0.8529 loss_thr: 0.4735 loss_db: 0.1324 loss: 1.4588 08/28 18:33:22 - mmengine - INFO - Epoch(train) [283][10/63] lr: 5.4991e-03 eta: 14:34:32 time: 0.9426 data_time: 0.1918 memory: 14974 loss_prob: 0.6978 loss_thr: 0.4591 loss_db: 0.1174 loss: 1.2743 08/28 18:33:27 - mmengine - INFO - Epoch(train) [283][15/63] lr: 5.4991e-03 eta: 14:34:32 time: 0.8541 data_time: 0.1183 memory: 14974 loss_prob: 0.6240 loss_thr: 0.4403 loss_db: 0.1042 loss: 1.1686 08/28 18:33:32 - mmengine - INFO - Epoch(train) [283][20/63] lr: 5.4991e-03 eta: 14:34:24 time: 0.9391 data_time: 0.1254 memory: 14974 loss_prob: 0.6641 loss_thr: 0.4458 loss_db: 0.1118 loss: 1.2217 08/28 18:33:36 - mmengine - INFO - Epoch(train) [283][25/63] lr: 5.4991e-03 eta: 14:34:24 time: 0.8730 data_time: 0.0736 memory: 14974 loss_prob: 0.7514 loss_thr: 0.4679 loss_db: 0.1256 loss: 1.3449 08/28 18:33:41 - mmengine - INFO - Epoch(train) [283][30/63] lr: 5.4991e-03 eta: 14:34:17 time: 0.9704 data_time: 0.1219 memory: 14974 loss_prob: 0.7981 loss_thr: 0.4739 loss_db: 0.1303 loss: 1.4024 08/28 18:33:46 - mmengine - INFO - Epoch(train) [283][35/63] lr: 5.4991e-03 eta: 14:34:17 time: 1.0081 data_time: 0.1336 memory: 14974 loss_prob: 0.8015 loss_thr: 0.4861 loss_db: 0.1331 loss: 1.4206 08/28 18:33:50 - mmengine - INFO - Epoch(train) [283][40/63] lr: 5.4991e-03 eta: 14:34:07 time: 0.8742 data_time: 0.1277 memory: 14974 loss_prob: 0.7649 loss_thr: 0.4764 loss_db: 0.1303 loss: 1.3716 08/28 18:33:55 - mmengine - INFO - Epoch(train) [283][45/63] lr: 5.4991e-03 eta: 14:34:07 time: 0.8958 data_time: 0.1246 memory: 14974 loss_prob: 0.7098 loss_thr: 0.4289 loss_db: 0.1155 loss: 1.2543 08/28 18:34:00 - mmengine - INFO - Epoch(train) [283][50/63] lr: 5.4991e-03 eta: 14:33:59 time: 0.9523 data_time: 0.0643 memory: 14974 loss_prob: 0.6803 loss_thr: 0.4330 loss_db: 0.1097 loss: 1.2231 08/28 18:34:04 - mmengine - INFO - Epoch(train) [283][55/63] lr: 5.4991e-03 eta: 14:33:59 time: 0.9441 data_time: 0.0799 memory: 14974 loss_prob: 0.6368 loss_thr: 0.4445 loss_db: 0.1106 loss: 1.1919 08/28 18:34:09 - mmengine - INFO - Epoch(train) [283][60/63] lr: 5.4991e-03 eta: 14:33:50 time: 0.8966 data_time: 0.1096 memory: 14974 loss_prob: 0.6930 loss_thr: 0.4657 loss_db: 0.1190 loss: 1.2777 08/28 18:34:11 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:34:16 - mmengine - INFO - Epoch(train) [284][5/63] lr: 5.4937e-03 eta: 14:33:50 time: 0.8919 data_time: 0.1789 memory: 14974 loss_prob: 0.7882 loss_thr: 0.5080 loss_db: 0.1307 loss: 1.4269 08/28 18:34:20 - mmengine - INFO - Epoch(train) [284][10/63] lr: 5.4937e-03 eta: 14:33:31 time: 0.9635 data_time: 0.2349 memory: 14974 loss_prob: 0.7047 loss_thr: 0.4552 loss_db: 0.1188 loss: 1.2788 08/28 18:34:25 - mmengine - INFO - Epoch(train) [284][15/63] lr: 5.4937e-03 eta: 14:33:31 time: 0.8795 data_time: 0.1030 memory: 14974 loss_prob: 0.6898 loss_thr: 0.4380 loss_db: 0.1134 loss: 1.2411 08/28 18:34:29 - mmengine - INFO - Epoch(train) [284][20/63] lr: 5.4937e-03 eta: 14:33:19 time: 0.8236 data_time: 0.0488 memory: 14974 loss_prob: 0.7882 loss_thr: 0.4532 loss_db: 0.1278 loss: 1.3691 08/28 18:34:33 - mmengine - INFO - Epoch(train) [284][25/63] lr: 5.4937e-03 eta: 14:33:19 time: 0.8057 data_time: 0.0719 memory: 14974 loss_prob: 0.7956 loss_thr: 0.4726 loss_db: 0.1311 loss: 1.3993 08/28 18:34:37 - mmengine - INFO - Epoch(train) [284][30/63] lr: 5.4937e-03 eta: 14:33:07 time: 0.8210 data_time: 0.0839 memory: 14974 loss_prob: 0.7481 loss_thr: 0.4931 loss_db: 0.1267 loss: 1.3679 08/28 18:34:41 - mmengine - INFO - Epoch(train) [284][35/63] lr: 5.4937e-03 eta: 14:33:07 time: 0.8008 data_time: 0.0683 memory: 14974 loss_prob: 0.7489 loss_thr: 0.4899 loss_db: 0.1285 loss: 1.3673 08/28 18:34:46 - mmengine - INFO - Epoch(train) [284][40/63] lr: 5.4937e-03 eta: 14:33:00 time: 0.9560 data_time: 0.1284 memory: 14974 loss_prob: 0.6819 loss_thr: 0.4664 loss_db: 0.1159 loss: 1.2642 08/28 18:34:52 - mmengine - INFO - Epoch(train) [284][45/63] lr: 5.4937e-03 eta: 14:33:00 time: 1.0654 data_time: 0.1374 memory: 14974 loss_prob: 0.6841 loss_thr: 0.4701 loss_db: 0.1146 loss: 1.2687 08/28 18:34:57 - mmengine - INFO - Epoch(train) [284][50/63] lr: 5.4937e-03 eta: 14:32:54 time: 1.0108 data_time: 0.1340 memory: 14974 loss_prob: 0.7291 loss_thr: 0.4888 loss_db: 0.1237 loss: 1.3415 08/28 18:35:01 - mmengine - INFO - Epoch(train) [284][55/63] lr: 5.4937e-03 eta: 14:32:54 time: 0.8981 data_time: 0.1220 memory: 14974 loss_prob: 0.7013 loss_thr: 0.4614 loss_db: 0.1216 loss: 1.2844 08/28 18:35:05 - mmengine - INFO - Epoch(train) [284][60/63] lr: 5.4937e-03 eta: 14:32:44 time: 0.8672 data_time: 0.0657 memory: 14974 loss_prob: 0.7805 loss_thr: 0.4878 loss_db: 0.1344 loss: 1.4026 08/28 18:35:08 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:35:14 - mmengine - INFO - Epoch(train) [285][5/63] lr: 5.4883e-03 eta: 14:32:44 time: 1.0673 data_time: 0.2694 memory: 14974 loss_prob: 0.7960 loss_thr: 0.4775 loss_db: 0.1338 loss: 1.4073 08/28 18:35:18 - mmengine - INFO - Epoch(train) [285][10/63] lr: 5.4883e-03 eta: 14:32:25 time: 0.9643 data_time: 0.1918 memory: 14974 loss_prob: 0.6894 loss_thr: 0.4382 loss_db: 0.1159 loss: 1.2435 08/28 18:35:22 - mmengine - INFO - Epoch(train) [285][15/63] lr: 5.4883e-03 eta: 14:32:25 time: 0.8678 data_time: 0.0750 memory: 14974 loss_prob: 0.6739 loss_thr: 0.4516 loss_db: 0.1121 loss: 1.2376 08/28 18:35:27 - mmengine - INFO - Epoch(train) [285][20/63] lr: 5.4883e-03 eta: 14:32:15 time: 0.8924 data_time: 0.0856 memory: 14974 loss_prob: 0.7035 loss_thr: 0.4544 loss_db: 0.1212 loss: 1.2791 08/28 18:35:31 - mmengine - INFO - Epoch(train) [285][25/63] lr: 5.4883e-03 eta: 14:32:15 time: 0.8087 data_time: 0.0657 memory: 14974 loss_prob: 0.6798 loss_thr: 0.4720 loss_db: 0.1178 loss: 1.2697 08/28 18:35:35 - mmengine - INFO - Epoch(train) [285][30/63] lr: 5.4883e-03 eta: 14:32:05 time: 0.8719 data_time: 0.1067 memory: 14974 loss_prob: 0.7189 loss_thr: 0.5007 loss_db: 0.1221 loss: 1.3416 08/28 18:35:39 - mmengine - INFO - Epoch(train) [285][35/63] lr: 5.4883e-03 eta: 14:32:05 time: 0.8603 data_time: 0.1021 memory: 14974 loss_prob: 0.7440 loss_thr: 0.4852 loss_db: 0.1259 loss: 1.3551 08/28 18:35:43 - mmengine - INFO - Epoch(train) [285][40/63] lr: 5.4883e-03 eta: 14:31:52 time: 0.7737 data_time: 0.0453 memory: 14974 loss_prob: 0.6670 loss_thr: 0.4477 loss_db: 0.1130 loss: 1.2277 08/28 18:35:47 - mmengine - INFO - Epoch(train) [285][45/63] lr: 5.4883e-03 eta: 14:31:52 time: 0.7972 data_time: 0.0704 memory: 14974 loss_prob: 0.7138 loss_thr: 0.4518 loss_db: 0.1179 loss: 1.2835 08/28 18:35:51 - mmengine - INFO - Epoch(train) [285][50/63] lr: 5.4883e-03 eta: 14:31:41 time: 0.8393 data_time: 0.0703 memory: 14974 loss_prob: 0.7941 loss_thr: 0.4866 loss_db: 0.1313 loss: 1.4120 08/28 18:35:56 - mmengine - INFO - Epoch(train) [285][55/63] lr: 5.4883e-03 eta: 14:31:41 time: 0.8393 data_time: 0.0650 memory: 14974 loss_prob: 0.8144 loss_thr: 0.5058 loss_db: 0.1350 loss: 1.4552 08/28 18:36:00 - mmengine - INFO - Epoch(train) [285][60/63] lr: 5.4883e-03 eta: 14:31:30 time: 0.8708 data_time: 0.1389 memory: 14974 loss_prob: 0.7544 loss_thr: 0.4885 loss_db: 0.1300 loss: 1.3728 08/28 18:36:02 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:36:08 - mmengine - INFO - Epoch(train) [286][5/63] lr: 5.4829e-03 eta: 14:31:30 time: 0.8860 data_time: 0.1708 memory: 14974 loss_prob: 0.7480 loss_thr: 0.4854 loss_db: 0.1290 loss: 1.3624 08/28 18:36:13 - mmengine - INFO - Epoch(train) [286][10/63] lr: 5.4829e-03 eta: 14:31:16 time: 1.1037 data_time: 0.2367 memory: 14974 loss_prob: 0.6835 loss_thr: 0.4550 loss_db: 0.1172 loss: 1.2557 08/28 18:36:18 - mmengine - INFO - Epoch(train) [286][15/63] lr: 5.4829e-03 eta: 14:31:16 time: 1.0058 data_time: 0.1197 memory: 14974 loss_prob: 0.7342 loss_thr: 0.4679 loss_db: 0.1257 loss: 1.3278 08/28 18:36:22 - mmengine - INFO - Epoch(train) [286][20/63] lr: 5.4829e-03 eta: 14:31:07 time: 0.9139 data_time: 0.0552 memory: 14974 loss_prob: 0.7678 loss_thr: 0.4657 loss_db: 0.1253 loss: 1.3588 08/28 18:36:28 - mmengine - INFO - Epoch(train) [286][25/63] lr: 5.4829e-03 eta: 14:31:07 time: 1.0851 data_time: 0.0629 memory: 14974 loss_prob: 0.7590 loss_thr: 0.4580 loss_db: 0.1232 loss: 1.3402 08/28 18:36:33 - mmengine - INFO - Epoch(train) [286][30/63] lr: 5.4829e-03 eta: 14:31:02 time: 1.0210 data_time: 0.0457 memory: 14974 loss_prob: 0.8662 loss_thr: 0.4874 loss_db: 0.1407 loss: 1.4943 08/28 18:36:37 - mmengine - INFO - Epoch(train) [286][35/63] lr: 5.4829e-03 eta: 14:31:02 time: 0.8453 data_time: 0.0596 memory: 14974 loss_prob: 0.8773 loss_thr: 0.5005 loss_db: 0.1424 loss: 1.5201 08/28 18:36:41 - mmengine - INFO - Epoch(train) [286][40/63] lr: 5.4829e-03 eta: 14:30:49 time: 0.7819 data_time: 0.0502 memory: 14974 loss_prob: 0.8055 loss_thr: 0.4842 loss_db: 0.1362 loss: 1.4259 08/28 18:36:45 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:36:45 - mmengine - INFO - Epoch(train) [286][45/63] lr: 5.4829e-03 eta: 14:30:49 time: 0.7994 data_time: 0.0328 memory: 14974 loss_prob: 0.8190 loss_thr: 0.4899 loss_db: 0.1384 loss: 1.4474 08/28 18:36:49 - mmengine - INFO - Epoch(train) [286][50/63] lr: 5.4829e-03 eta: 14:30:38 time: 0.8688 data_time: 0.0868 memory: 14974 loss_prob: 0.8628 loss_thr: 0.5190 loss_db: 0.1446 loss: 1.5264 08/28 18:36:54 - mmengine - INFO - Epoch(train) [286][55/63] lr: 5.4829e-03 eta: 14:30:38 time: 0.9001 data_time: 0.0896 memory: 14974 loss_prob: 0.8103 loss_thr: 0.4932 loss_db: 0.1376 loss: 1.4410 08/28 18:36:58 - mmengine - INFO - Epoch(train) [286][60/63] lr: 5.4829e-03 eta: 14:30:28 time: 0.8786 data_time: 0.0630 memory: 14974 loss_prob: 0.7193 loss_thr: 0.4659 loss_db: 0.1218 loss: 1.3070 08/28 18:37:01 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:37:07 - mmengine - INFO - Epoch(train) [287][5/63] lr: 5.4775e-03 eta: 14:30:28 time: 1.0779 data_time: 0.2251 memory: 14974 loss_prob: 0.6955 loss_thr: 0.4719 loss_db: 0.1191 loss: 1.2865 08/28 18:37:11 - mmengine - INFO - Epoch(train) [287][10/63] lr: 5.4775e-03 eta: 14:30:13 time: 1.0523 data_time: 0.1864 memory: 14974 loss_prob: 0.6634 loss_thr: 0.4412 loss_db: 0.1125 loss: 1.2171 08/28 18:37:15 - mmengine - INFO - Epoch(train) [287][15/63] lr: 5.4775e-03 eta: 14:30:13 time: 0.7869 data_time: 0.0557 memory: 14974 loss_prob: 0.7329 loss_thr: 0.4644 loss_db: 0.1245 loss: 1.3218 08/28 18:37:19 - mmengine - INFO - Epoch(train) [287][20/63] lr: 5.4775e-03 eta: 14:29:59 time: 0.7743 data_time: 0.0506 memory: 14974 loss_prob: 0.8214 loss_thr: 0.5193 loss_db: 0.1361 loss: 1.4768 08/28 18:37:23 - mmengine - INFO - Epoch(train) [287][25/63] lr: 5.4775e-03 eta: 14:29:59 time: 0.7550 data_time: 0.0423 memory: 14974 loss_prob: 0.8025 loss_thr: 0.5270 loss_db: 0.1341 loss: 1.4636 08/28 18:37:28 - mmengine - INFO - Epoch(train) [287][30/63] lr: 5.4775e-03 eta: 14:29:51 time: 0.9355 data_time: 0.0973 memory: 14974 loss_prob: 0.6730 loss_thr: 0.4550 loss_db: 0.1145 loss: 1.2425 08/28 18:37:33 - mmengine - INFO - Epoch(train) [287][35/63] lr: 5.4775e-03 eta: 14:29:51 time: 1.0584 data_time: 0.0958 memory: 14974 loss_prob: 0.7074 loss_thr: 0.4542 loss_db: 0.1176 loss: 1.2792 08/28 18:37:38 - mmengine - INFO - Epoch(train) [287][40/63] lr: 5.4775e-03 eta: 14:29:43 time: 0.9372 data_time: 0.0857 memory: 14974 loss_prob: 0.7795 loss_thr: 0.4883 loss_db: 0.1283 loss: 1.3962 08/28 18:37:43 - mmengine - INFO - Epoch(train) [287][45/63] lr: 5.4775e-03 eta: 14:29:43 time: 0.9303 data_time: 0.0779 memory: 14974 loss_prob: 0.7245 loss_thr: 0.4653 loss_db: 0.1205 loss: 1.3104 08/28 18:37:47 - mmengine - INFO - Epoch(train) [287][50/63] lr: 5.4775e-03 eta: 14:29:35 time: 0.9508 data_time: 0.0391 memory: 14974 loss_prob: 0.7520 loss_thr: 0.4683 loss_db: 0.1235 loss: 1.3438 08/28 18:37:51 - mmengine - INFO - Epoch(train) [287][55/63] lr: 5.4775e-03 eta: 14:29:35 time: 0.8743 data_time: 0.0753 memory: 14974 loss_prob: 0.7320 loss_thr: 0.4569 loss_db: 0.1218 loss: 1.3107 08/28 18:37:55 - mmengine - INFO - Epoch(train) [287][60/63] lr: 5.4775e-03 eta: 14:29:23 time: 0.8085 data_time: 0.0749 memory: 14974 loss_prob: 0.6919 loss_thr: 0.4412 loss_db: 0.1189 loss: 1.2520 08/28 18:37:57 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:38:02 - mmengine - INFO - Epoch(train) [288][5/63] lr: 5.4721e-03 eta: 14:29:23 time: 0.8605 data_time: 0.1608 memory: 14974 loss_prob: 0.7270 loss_thr: 0.4657 loss_db: 0.1249 loss: 1.3176 08/28 18:38:07 - mmengine - INFO - Epoch(train) [288][10/63] lr: 5.4721e-03 eta: 14:29:04 time: 0.9597 data_time: 0.2138 memory: 14974 loss_prob: 0.7344 loss_thr: 0.4671 loss_db: 0.1259 loss: 1.3274 08/28 18:38:12 - mmengine - INFO - Epoch(train) [288][15/63] lr: 5.4721e-03 eta: 14:29:04 time: 0.9656 data_time: 0.0802 memory: 14974 loss_prob: 0.7664 loss_thr: 0.4824 loss_db: 0.1300 loss: 1.3788 08/28 18:38:16 - mmengine - INFO - Epoch(train) [288][20/63] lr: 5.4721e-03 eta: 14:28:56 time: 0.9327 data_time: 0.0464 memory: 14974 loss_prob: 0.7765 loss_thr: 0.4882 loss_db: 0.1324 loss: 1.3971 08/28 18:38:21 - mmengine - INFO - Epoch(train) [288][25/63] lr: 5.4721e-03 eta: 14:28:56 time: 0.9435 data_time: 0.0871 memory: 14974 loss_prob: 0.7478 loss_thr: 0.4879 loss_db: 0.1283 loss: 1.3640 08/28 18:38:26 - mmengine - INFO - Epoch(train) [288][30/63] lr: 5.4721e-03 eta: 14:28:49 time: 0.9618 data_time: 0.0654 memory: 14974 loss_prob: 0.7000 loss_thr: 0.4710 loss_db: 0.1171 loss: 1.2881 08/28 18:38:29 - mmengine - INFO - Epoch(train) [288][35/63] lr: 5.4721e-03 eta: 14:28:49 time: 0.8072 data_time: 0.0299 memory: 14974 loss_prob: 0.7261 loss_thr: 0.4687 loss_db: 0.1229 loss: 1.3177 08/28 18:38:34 - mmengine - INFO - Epoch(train) [288][40/63] lr: 5.4721e-03 eta: 14:28:37 time: 0.8140 data_time: 0.0781 memory: 14974 loss_prob: 0.7560 loss_thr: 0.4850 loss_db: 0.1285 loss: 1.3695 08/28 18:38:38 - mmengine - INFO - Epoch(train) [288][45/63] lr: 5.4721e-03 eta: 14:28:37 time: 0.8130 data_time: 0.0668 memory: 14974 loss_prob: 0.7673 loss_thr: 0.4819 loss_db: 0.1257 loss: 1.3749 08/28 18:38:41 - mmengine - INFO - Epoch(train) [288][50/63] lr: 5.4721e-03 eta: 14:28:23 time: 0.7693 data_time: 0.0384 memory: 14974 loss_prob: 0.7311 loss_thr: 0.4688 loss_db: 0.1205 loss: 1.3203 08/28 18:38:46 - mmengine - INFO - Epoch(train) [288][55/63] lr: 5.4721e-03 eta: 14:28:23 time: 0.8822 data_time: 0.0859 memory: 14974 loss_prob: 0.6665 loss_thr: 0.4433 loss_db: 0.1112 loss: 1.2210 08/28 18:38:51 - mmengine - INFO - Epoch(train) [288][60/63] lr: 5.4721e-03 eta: 14:28:16 time: 0.9416 data_time: 0.0877 memory: 14974 loss_prob: 0.7108 loss_thr: 0.4318 loss_db: 0.1148 loss: 1.2573 08/28 18:38:53 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:39:00 - mmengine - INFO - Epoch(train) [289][5/63] lr: 5.4667e-03 eta: 14:28:16 time: 1.0165 data_time: 0.1844 memory: 14974 loss_prob: 0.7236 loss_thr: 0.4537 loss_db: 0.1236 loss: 1.3010 08/28 18:39:04 - mmengine - INFO - Epoch(train) [289][10/63] lr: 5.4667e-03 eta: 14:28:01 time: 1.0986 data_time: 0.1995 memory: 14974 loss_prob: 0.7472 loss_thr: 0.4844 loss_db: 0.1243 loss: 1.3558 08/28 18:39:08 - mmengine - INFO - Epoch(train) [289][15/63] lr: 5.4667e-03 eta: 14:28:01 time: 0.8180 data_time: 0.0464 memory: 14974 loss_prob: 0.8206 loss_thr: 0.5263 loss_db: 0.1348 loss: 1.4818 08/28 18:39:12 - mmengine - INFO - Epoch(train) [289][20/63] lr: 5.4667e-03 eta: 14:27:48 time: 0.7767 data_time: 0.0377 memory: 14974 loss_prob: 0.7401 loss_thr: 0.4782 loss_db: 0.1257 loss: 1.3439 08/28 18:39:16 - mmengine - INFO - Epoch(train) [289][25/63] lr: 5.4667e-03 eta: 14:27:48 time: 0.7912 data_time: 0.0484 memory: 14974 loss_prob: 0.6231 loss_thr: 0.4145 loss_db: 0.1057 loss: 1.1432 08/28 18:39:19 - mmengine - INFO - Epoch(train) [289][30/63] lr: 5.4667e-03 eta: 14:27:34 time: 0.7593 data_time: 0.0415 memory: 14974 loss_prob: 0.6790 loss_thr: 0.4385 loss_db: 0.1126 loss: 1.2301 08/28 18:39:23 - mmengine - INFO - Epoch(train) [289][35/63] lr: 5.4667e-03 eta: 14:27:34 time: 0.7605 data_time: 0.0419 memory: 14974 loss_prob: 0.7595 loss_thr: 0.4654 loss_db: 0.1266 loss: 1.3515 08/28 18:39:28 - mmengine - INFO - Epoch(train) [289][40/63] lr: 5.4667e-03 eta: 14:27:24 time: 0.8582 data_time: 0.0495 memory: 14974 loss_prob: 0.7847 loss_thr: 0.4798 loss_db: 0.1328 loss: 1.3973 08/28 18:39:32 - mmengine - INFO - Epoch(train) [289][45/63] lr: 5.4667e-03 eta: 14:27:24 time: 0.8848 data_time: 0.0501 memory: 14974 loss_prob: 0.7531 loss_thr: 0.4759 loss_db: 0.1279 loss: 1.3569 08/28 18:39:37 - mmengine - INFO - Epoch(train) [289][50/63] lr: 5.4667e-03 eta: 14:27:14 time: 0.8881 data_time: 0.0538 memory: 14974 loss_prob: 0.7535 loss_thr: 0.4832 loss_db: 0.1256 loss: 1.3623 08/28 18:39:42 - mmengine - INFO - Epoch(train) [289][55/63] lr: 5.4667e-03 eta: 14:27:14 time: 0.9868 data_time: 0.0701 memory: 14974 loss_prob: 0.6994 loss_thr: 0.4509 loss_db: 0.1179 loss: 1.2682 08/28 18:39:46 - mmengine - INFO - Epoch(train) [289][60/63] lr: 5.4667e-03 eta: 14:27:06 time: 0.9365 data_time: 0.0614 memory: 14974 loss_prob: 0.7004 loss_thr: 0.4511 loss_db: 0.1188 loss: 1.2703 08/28 18:39:48 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:39:54 - mmengine - INFO - Epoch(train) [290][5/63] lr: 5.4613e-03 eta: 14:27:06 time: 0.8962 data_time: 0.1806 memory: 14974 loss_prob: 0.7414 loss_thr: 0.4800 loss_db: 0.1266 loss: 1.3480 08/28 18:39:58 - mmengine - INFO - Epoch(train) [290][10/63] lr: 5.4613e-03 eta: 14:26:47 time: 0.9547 data_time: 0.2220 memory: 14974 loss_prob: 0.7257 loss_thr: 0.4718 loss_db: 0.1237 loss: 1.3212 08/28 18:40:02 - mmengine - INFO - Epoch(train) [290][15/63] lr: 5.4613e-03 eta: 14:26:47 time: 0.7876 data_time: 0.0734 memory: 14974 loss_prob: 0.7738 loss_thr: 0.5020 loss_db: 0.1306 loss: 1.4065 08/28 18:40:08 - mmengine - INFO - Epoch(train) [290][20/63] lr: 5.4613e-03 eta: 14:26:40 time: 0.9821 data_time: 0.0477 memory: 14974 loss_prob: 0.7438 loss_thr: 0.4933 loss_db: 0.1274 loss: 1.3645 08/28 18:40:12 - mmengine - INFO - Epoch(train) [290][25/63] lr: 5.4613e-03 eta: 14:26:40 time: 1.0321 data_time: 0.0936 memory: 14974 loss_prob: 0.7230 loss_thr: 0.4780 loss_db: 0.1269 loss: 1.3279 08/28 18:40:17 - mmengine - INFO - Epoch(train) [290][30/63] lr: 5.4613e-03 eta: 14:26:31 time: 0.9075 data_time: 0.0918 memory: 14974 loss_prob: 0.7298 loss_thr: 0.4761 loss_db: 0.1244 loss: 1.3302 08/28 18:40:21 - mmengine - INFO - Epoch(train) [290][35/63] lr: 5.4613e-03 eta: 14:26:31 time: 0.9524 data_time: 0.0498 memory: 14974 loss_prob: 0.7129 loss_thr: 0.4711 loss_db: 0.1183 loss: 1.3023 08/28 18:40:26 - mmengine - INFO - Epoch(train) [290][40/63] lr: 5.4613e-03 eta: 14:26:22 time: 0.8985 data_time: 0.0280 memory: 14974 loss_prob: 0.7647 loss_thr: 0.4903 loss_db: 0.1276 loss: 1.3826 08/28 18:40:30 - mmengine - INFO - Epoch(train) [290][45/63] lr: 5.4613e-03 eta: 14:26:22 time: 0.8113 data_time: 0.0333 memory: 14974 loss_prob: 0.8206 loss_thr: 0.5107 loss_db: 0.1383 loss: 1.4695 08/28 18:40:33 - mmengine - INFO - Epoch(train) [290][50/63] lr: 5.4613e-03 eta: 14:26:08 time: 0.7533 data_time: 0.0396 memory: 14974 loss_prob: 0.7569 loss_thr: 0.4889 loss_db: 0.1296 loss: 1.3754 08/28 18:40:38 - mmengine - INFO - Epoch(train) [290][55/63] lr: 5.4613e-03 eta: 14:26:08 time: 0.8080 data_time: 0.0744 memory: 14974 loss_prob: 0.7444 loss_thr: 0.4741 loss_db: 0.1256 loss: 1.3441 08/28 18:40:42 - mmengine - INFO - Epoch(train) [290][60/63] lr: 5.4613e-03 eta: 14:25:57 time: 0.8455 data_time: 0.0854 memory: 14974 loss_prob: 0.7784 loss_thr: 0.4768 loss_db: 0.1290 loss: 1.3841 08/28 18:40:44 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:40:50 - mmengine - INFO - Epoch(train) [291][5/63] lr: 5.4559e-03 eta: 14:25:57 time: 1.0128 data_time: 0.1846 memory: 14974 loss_prob: 0.6407 loss_thr: 0.4212 loss_db: 0.1073 loss: 1.1692 08/28 18:40:55 - mmengine - INFO - Epoch(train) [291][10/63] lr: 5.4559e-03 eta: 14:25:43 time: 1.0870 data_time: 0.2241 memory: 14974 loss_prob: 0.6868 loss_thr: 0.4344 loss_db: 0.1201 loss: 1.2414 08/28 18:41:00 - mmengine - INFO - Epoch(train) [291][15/63] lr: 5.4559e-03 eta: 14:25:43 time: 1.0102 data_time: 0.0781 memory: 14974 loss_prob: 0.6704 loss_thr: 0.4180 loss_db: 0.1179 loss: 1.2063 08/28 18:41:04 - mmengine - INFO - Epoch(train) [291][20/63] lr: 5.4559e-03 eta: 14:25:34 time: 0.9085 data_time: 0.0587 memory: 14974 loss_prob: 0.6651 loss_thr: 0.4289 loss_db: 0.1143 loss: 1.2083 08/28 18:41:08 - mmengine - INFO - Epoch(train) [291][25/63] lr: 5.4559e-03 eta: 14:25:34 time: 0.8119 data_time: 0.0691 memory: 14974 loss_prob: 0.7466 loss_thr: 0.4701 loss_db: 0.1244 loss: 1.3411 08/28 18:41:12 - mmengine - INFO - Epoch(train) [291][30/63] lr: 5.4559e-03 eta: 14:25:21 time: 0.7813 data_time: 0.0362 memory: 14974 loss_prob: 0.7844 loss_thr: 0.4713 loss_db: 0.1288 loss: 1.3845 08/28 18:41:17 - mmengine - INFO - Epoch(train) [291][35/63] lr: 5.4559e-03 eta: 14:25:21 time: 0.8391 data_time: 0.0631 memory: 14974 loss_prob: 0.8675 loss_thr: 0.4980 loss_db: 0.1416 loss: 1.5071 08/28 18:41:21 - mmengine - INFO - Epoch(train) [291][40/63] lr: 5.4559e-03 eta: 14:25:11 time: 0.8806 data_time: 0.0806 memory: 14974 loss_prob: 0.8402 loss_thr: 0.5029 loss_db: 0.1390 loss: 1.4822 08/28 18:41:26 - mmengine - INFO - Epoch(train) [291][45/63] lr: 5.4559e-03 eta: 14:25:11 time: 0.9125 data_time: 0.0557 memory: 14974 loss_prob: 0.7262 loss_thr: 0.4701 loss_db: 0.1239 loss: 1.3201 08/28 18:41:30 - mmengine - INFO - Epoch(train) [291][50/63] lr: 5.4559e-03 eta: 14:25:02 time: 0.9169 data_time: 0.0872 memory: 14974 loss_prob: 0.8176 loss_thr: 0.5123 loss_db: 0.1382 loss: 1.4681 08/28 18:41:35 - mmengine - INFO - Epoch(train) [291][55/63] lr: 5.4559e-03 eta: 14:25:02 time: 0.8918 data_time: 0.0793 memory: 14974 loss_prob: 0.8236 loss_thr: 0.5184 loss_db: 0.1378 loss: 1.4797 08/28 18:41:39 - mmengine - INFO - Epoch(train) [291][60/63] lr: 5.4559e-03 eta: 14:24:53 time: 0.9034 data_time: 0.0389 memory: 14974 loss_prob: 0.7915 loss_thr: 0.4904 loss_db: 0.1280 loss: 1.4099 08/28 18:41:42 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:41:48 - mmengine - INFO - Epoch(train) [292][5/63] lr: 5.4505e-03 eta: 14:24:53 time: 1.0258 data_time: 0.2083 memory: 14974 loss_prob: 0.8841 loss_thr: 0.5029 loss_db: 0.1425 loss: 1.5295 08/28 18:41:51 - mmengine - INFO - Epoch(train) [292][10/63] lr: 5.4505e-03 eta: 14:24:34 time: 0.9460 data_time: 0.1868 memory: 14974 loss_prob: 0.8329 loss_thr: 0.5017 loss_db: 0.1382 loss: 1.4729 08/28 18:41:56 - mmengine - INFO - Epoch(train) [292][15/63] lr: 5.4505e-03 eta: 14:24:34 time: 0.8049 data_time: 0.0637 memory: 14974 loss_prob: 0.7826 loss_thr: 0.5033 loss_db: 0.1336 loss: 1.4194 08/28 18:42:00 - mmengine - INFO - Epoch(train) [292][20/63] lr: 5.4505e-03 eta: 14:24:23 time: 0.8474 data_time: 0.0722 memory: 14974 loss_prob: 0.7679 loss_thr: 0.4905 loss_db: 0.1333 loss: 1.3917 08/28 18:42:05 - mmengine - INFO - Epoch(train) [292][25/63] lr: 5.4505e-03 eta: 14:24:23 time: 0.9552 data_time: 0.0611 memory: 14974 loss_prob: 0.7467 loss_thr: 0.4741 loss_db: 0.1268 loss: 1.3475 08/28 18:42:09 - mmengine - INFO - Epoch(train) [292][30/63] lr: 5.4505e-03 eta: 14:24:16 time: 0.9558 data_time: 0.0907 memory: 14974 loss_prob: 0.7560 loss_thr: 0.4754 loss_db: 0.1280 loss: 1.3594 08/28 18:42:14 - mmengine - INFO - Epoch(train) [292][35/63] lr: 5.4505e-03 eta: 14:24:16 time: 0.9024 data_time: 0.0799 memory: 14974 loss_prob: 0.8367 loss_thr: 0.4905 loss_db: 0.1398 loss: 1.4670 08/28 18:42:19 - mmengine - INFO - Epoch(train) [292][40/63] lr: 5.4505e-03 eta: 14:24:08 time: 0.9436 data_time: 0.0382 memory: 14974 loss_prob: 0.7669 loss_thr: 0.4634 loss_db: 0.1274 loss: 1.3576 08/28 18:42:24 - mmengine - INFO - Epoch(train) [292][45/63] lr: 5.4505e-03 eta: 14:24:08 time: 0.9362 data_time: 0.0611 memory: 14974 loss_prob: 0.6801 loss_thr: 0.4567 loss_db: 0.1171 loss: 1.2539 08/28 18:42:28 - mmengine - INFO - Epoch(train) [292][50/63] lr: 5.4505e-03 eta: 14:23:57 time: 0.8682 data_time: 0.0708 memory: 14974 loss_prob: 0.7336 loss_thr: 0.4718 loss_db: 0.1255 loss: 1.3309 08/28 18:42:32 - mmengine - INFO - Epoch(train) [292][55/63] lr: 5.4505e-03 eta: 14:23:57 time: 0.7976 data_time: 0.0553 memory: 14974 loss_prob: 0.7440 loss_thr: 0.4673 loss_db: 0.1274 loss: 1.3386 08/28 18:42:36 - mmengine - INFO - Epoch(train) [292][60/63] lr: 5.4505e-03 eta: 14:23:46 time: 0.8344 data_time: 0.0922 memory: 14974 loss_prob: 0.7542 loss_thr: 0.4830 loss_db: 0.1281 loss: 1.3653 08/28 18:42:38 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:42:44 - mmengine - INFO - Epoch(train) [293][5/63] lr: 5.4451e-03 eta: 14:23:46 time: 0.9956 data_time: 0.1891 memory: 14974 loss_prob: 0.7505 loss_thr: 0.4620 loss_db: 0.1228 loss: 1.3353 08/28 18:42:49 - mmengine - INFO - Epoch(train) [293][10/63] lr: 5.4451e-03 eta: 14:23:31 time: 1.0776 data_time: 0.2288 memory: 14974 loss_prob: 0.6873 loss_thr: 0.4525 loss_db: 0.1173 loss: 1.2570 08/28 18:42:54 - mmengine - INFO - Epoch(train) [293][15/63] lr: 5.4451e-03 eta: 14:23:31 time: 0.9384 data_time: 0.0808 memory: 14974 loss_prob: 0.7444 loss_thr: 0.4553 loss_db: 0.1271 loss: 1.3268 08/28 18:42:59 - mmengine - INFO - Epoch(train) [293][20/63] lr: 5.4451e-03 eta: 14:23:24 time: 0.9767 data_time: 0.0304 memory: 14974 loss_prob: 0.7317 loss_thr: 0.4516 loss_db: 0.1232 loss: 1.3066 08/28 18:43:03 - mmengine - INFO - Epoch(train) [293][25/63] lr: 5.4451e-03 eta: 14:23:24 time: 0.9406 data_time: 0.0465 memory: 14974 loss_prob: 0.7712 loss_thr: 0.4940 loss_db: 0.1301 loss: 1.3953 08/28 18:43:07 - mmengine - INFO - Epoch(train) [293][30/63] lr: 5.4451e-03 eta: 14:23:14 time: 0.8576 data_time: 0.0641 memory: 14974 loss_prob: 0.6877 loss_thr: 0.4529 loss_db: 0.1178 loss: 1.2583 08/28 18:43:11 - mmengine - INFO - Epoch(train) [293][35/63] lr: 5.4451e-03 eta: 14:23:14 time: 0.7618 data_time: 0.0369 memory: 14974 loss_prob: 0.7016 loss_thr: 0.4380 loss_db: 0.1186 loss: 1.2582 08/28 18:43:15 - mmengine - INFO - Epoch(train) [293][40/63] lr: 5.4451e-03 eta: 14:23:02 time: 0.8053 data_time: 0.0712 memory: 14974 loss_prob: 0.7957 loss_thr: 0.4818 loss_db: 0.1328 loss: 1.4102 08/28 18:43:19 - mmengine - INFO - Epoch(train) [293][45/63] lr: 5.4451e-03 eta: 14:23:02 time: 0.8374 data_time: 0.0937 memory: 14974 loss_prob: 0.7841 loss_thr: 0.4882 loss_db: 0.1323 loss: 1.4046 08/28 18:43:24 - mmengine - INFO - Epoch(train) [293][50/63] lr: 5.4451e-03 eta: 14:22:52 time: 0.9028 data_time: 0.0464 memory: 14974 loss_prob: 0.7708 loss_thr: 0.4813 loss_db: 0.1306 loss: 1.3826 08/28 18:43:29 - mmengine - INFO - Epoch(train) [293][55/63] lr: 5.4451e-03 eta: 14:22:52 time: 0.9409 data_time: 0.0865 memory: 14974 loss_prob: 0.7623 loss_thr: 0.4833 loss_db: 0.1267 loss: 1.3724 08/28 18:43:34 - mmengine - INFO - Epoch(train) [293][60/63] lr: 5.4451e-03 eta: 14:22:45 time: 0.9555 data_time: 0.1035 memory: 14974 loss_prob: 0.7605 loss_thr: 0.4857 loss_db: 0.1277 loss: 1.3739 08/28 18:43:36 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:43:42 - mmengine - INFO - Epoch(train) [294][5/63] lr: 5.4397e-03 eta: 14:22:45 time: 0.9592 data_time: 0.1844 memory: 14974 loss_prob: 0.7474 loss_thr: 0.4702 loss_db: 0.1270 loss: 1.3446 08/28 18:43:46 - mmengine - INFO - Epoch(train) [294][10/63] lr: 5.4397e-03 eta: 14:22:27 time: 0.9640 data_time: 0.2388 memory: 14974 loss_prob: 0.7690 loss_thr: 0.4776 loss_db: 0.1292 loss: 1.3758 08/28 18:43:51 - mmengine - INFO - Epoch(train) [294][15/63] lr: 5.4397e-03 eta: 14:22:27 time: 0.8946 data_time: 0.0726 memory: 14974 loss_prob: 0.7497 loss_thr: 0.4811 loss_db: 0.1267 loss: 1.3575 08/28 18:43:55 - mmengine - INFO - Epoch(train) [294][20/63] lr: 5.4397e-03 eta: 14:22:16 time: 0.8511 data_time: 0.0374 memory: 14974 loss_prob: 0.7410 loss_thr: 0.4981 loss_db: 0.1246 loss: 1.3637 08/28 18:43:59 - mmengine - INFO - Epoch(train) [294][25/63] lr: 5.4397e-03 eta: 14:22:16 time: 0.8044 data_time: 0.0935 memory: 14974 loss_prob: 0.7976 loss_thr: 0.5187 loss_db: 0.1357 loss: 1.4520 08/28 18:44:04 - mmengine - INFO - Epoch(train) [294][30/63] lr: 5.4397e-03 eta: 14:22:08 time: 0.9510 data_time: 0.0955 memory: 14974 loss_prob: 0.7472 loss_thr: 0.4784 loss_db: 0.1219 loss: 1.3475 08/28 18:44:09 - mmengine - INFO - Epoch(train) [294][35/63] lr: 5.4397e-03 eta: 14:22:08 time: 0.9769 data_time: 0.0630 memory: 14974 loss_prob: 0.6805 loss_thr: 0.4369 loss_db: 0.1082 loss: 1.2256 08/28 18:44:13 - mmengine - INFO - Epoch(train) [294][40/63] lr: 5.4397e-03 eta: 14:21:59 time: 0.9147 data_time: 0.0910 memory: 14974 loss_prob: 0.6746 loss_thr: 0.4297 loss_db: 0.1154 loss: 1.2196 08/28 18:44:19 - mmengine - INFO - Epoch(train) [294][45/63] lr: 5.4397e-03 eta: 14:21:59 time: 1.0115 data_time: 0.0738 memory: 14974 loss_prob: 0.7077 loss_thr: 0.4562 loss_db: 0.1184 loss: 1.2823 08/28 18:44:23 - mmengine - INFO - Epoch(train) [294][50/63] lr: 5.4397e-03 eta: 14:21:51 time: 0.9314 data_time: 0.0296 memory: 14974 loss_prob: 0.7463 loss_thr: 0.4845 loss_db: 0.1242 loss: 1.3550 08/28 18:44:27 - mmengine - INFO - Epoch(train) [294][55/63] lr: 5.4397e-03 eta: 14:21:51 time: 0.8026 data_time: 0.0532 memory: 14974 loss_prob: 0.7701 loss_thr: 0.4890 loss_db: 0.1303 loss: 1.3893 08/28 18:44:31 - mmengine - INFO - Epoch(train) [294][60/63] lr: 5.4397e-03 eta: 14:21:39 time: 0.8005 data_time: 0.0545 memory: 14974 loss_prob: 0.6901 loss_thr: 0.4539 loss_db: 0.1136 loss: 1.2576 08/28 18:44:33 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:44:38 - mmengine - INFO - Epoch(train) [295][5/63] lr: 5.4343e-03 eta: 14:21:39 time: 0.8880 data_time: 0.1890 memory: 14974 loss_prob: 0.6965 loss_thr: 0.4424 loss_db: 0.1164 loss: 1.2554 08/28 18:44:42 - mmengine - INFO - Epoch(train) [295][10/63] lr: 5.4343e-03 eta: 14:21:20 time: 0.9637 data_time: 0.2137 memory: 14974 loss_prob: 0.7731 loss_thr: 0.4595 loss_db: 0.1300 loss: 1.3627 08/28 18:44:47 - mmengine - INFO - Epoch(train) [295][15/63] lr: 5.4343e-03 eta: 14:21:20 time: 0.9416 data_time: 0.1073 memory: 14974 loss_prob: 0.7113 loss_thr: 0.4657 loss_db: 0.1210 loss: 1.2979 08/28 18:44:51 - mmengine - INFO - Epoch(train) [295][20/63] lr: 5.4343e-03 eta: 14:21:11 time: 0.8864 data_time: 0.0689 memory: 14974 loss_prob: 0.6942 loss_thr: 0.4685 loss_db: 0.1167 loss: 1.2794 08/28 18:44:57 - mmengine - INFO - Epoch(train) [295][25/63] lr: 5.4343e-03 eta: 14:21:11 time: 0.9864 data_time: 0.0810 memory: 14974 loss_prob: 0.6822 loss_thr: 0.4500 loss_db: 0.1148 loss: 1.2470 08/28 18:45:02 - mmengine - INFO - Epoch(train) [295][30/63] lr: 5.4343e-03 eta: 14:21:06 time: 1.0398 data_time: 0.0609 memory: 14974 loss_prob: 0.6721 loss_thr: 0.4437 loss_db: 0.1155 loss: 1.2313 08/28 18:45:06 - mmengine - INFO - Epoch(train) [295][35/63] lr: 5.4343e-03 eta: 14:21:06 time: 0.8821 data_time: 0.0652 memory: 14974 loss_prob: 0.7238 loss_thr: 0.4706 loss_db: 0.1228 loss: 1.3172 08/28 18:45:10 - mmengine - INFO - Epoch(train) [295][40/63] lr: 5.4343e-03 eta: 14:20:54 time: 0.8239 data_time: 0.0727 memory: 14974 loss_prob: 0.6952 loss_thr: 0.4568 loss_db: 0.1176 loss: 1.2696 08/28 18:45:14 - mmengine - INFO - Epoch(train) [295][45/63] lr: 5.4343e-03 eta: 14:20:54 time: 0.7589 data_time: 0.0252 memory: 14974 loss_prob: 0.7026 loss_thr: 0.4472 loss_db: 0.1179 loss: 1.2677 08/28 18:45:18 - mmengine - INFO - Epoch(train) [295][50/63] lr: 5.4343e-03 eta: 14:20:42 time: 0.8106 data_time: 0.0771 memory: 14974 loss_prob: 0.7383 loss_thr: 0.4783 loss_db: 0.1224 loss: 1.3390 08/28 18:45:22 - mmengine - INFO - Epoch(train) [295][55/63] lr: 5.4343e-03 eta: 14:20:42 time: 0.8360 data_time: 0.0901 memory: 14974 loss_prob: 0.6926 loss_thr: 0.4686 loss_db: 0.1164 loss: 1.2775 08/28 18:45:27 - mmengine - INFO - Epoch(train) [295][60/63] lr: 5.4343e-03 eta: 14:20:33 time: 0.8928 data_time: 0.0895 memory: 14974 loss_prob: 0.7043 loss_thr: 0.4643 loss_db: 0.1206 loss: 1.2892 08/28 18:45:31 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:45:36 - mmengine - INFO - Epoch(train) [296][5/63] lr: 5.4289e-03 eta: 14:20:33 time: 1.0626 data_time: 0.2162 memory: 14974 loss_prob: 0.6883 loss_thr: 0.4543 loss_db: 0.1165 loss: 1.2591 08/28 18:45:41 - mmengine - INFO - Epoch(train) [296][10/63] lr: 5.4289e-03 eta: 14:20:18 time: 1.0717 data_time: 0.1791 memory: 14974 loss_prob: 0.6464 loss_thr: 0.4307 loss_db: 0.1088 loss: 1.1859 08/28 18:45:46 - mmengine - INFO - Epoch(train) [296][15/63] lr: 5.4289e-03 eta: 14:20:18 time: 0.9584 data_time: 0.0410 memory: 14974 loss_prob: 0.7279 loss_thr: 0.4599 loss_db: 0.1223 loss: 1.3102 08/28 18:45:49 - mmengine - INFO - Epoch(train) [296][20/63] lr: 5.4289e-03 eta: 14:20:06 time: 0.8021 data_time: 0.0313 memory: 14974 loss_prob: 0.7448 loss_thr: 0.4740 loss_db: 0.1253 loss: 1.3441 08/28 18:45:54 - mmengine - INFO - Epoch(train) [296][25/63] lr: 5.4289e-03 eta: 14:20:06 time: 0.8270 data_time: 0.0457 memory: 14974 loss_prob: 0.6706 loss_thr: 0.4419 loss_db: 0.1126 loss: 1.2251 08/28 18:45:58 - mmengine - INFO - Epoch(train) [296][30/63] lr: 5.4289e-03 eta: 14:19:56 time: 0.8733 data_time: 0.0726 memory: 14974 loss_prob: 0.7470 loss_thr: 0.4702 loss_db: 0.1261 loss: 1.3434 08/28 18:46:02 - mmengine - INFO - Epoch(train) [296][35/63] lr: 5.4289e-03 eta: 14:19:56 time: 0.8102 data_time: 0.0705 memory: 14974 loss_prob: 0.7331 loss_thr: 0.4673 loss_db: 0.1256 loss: 1.3260 08/28 18:46:06 - mmengine - INFO - Epoch(train) [296][40/63] lr: 5.4289e-03 eta: 14:19:43 time: 0.7944 data_time: 0.0544 memory: 14974 loss_prob: 0.7237 loss_thr: 0.4626 loss_db: 0.1243 loss: 1.3106 08/28 18:46:12 - mmengine - INFO - Epoch(train) [296][45/63] lr: 5.4289e-03 eta: 14:19:43 time: 0.9604 data_time: 0.0864 memory: 14974 loss_prob: 0.8015 loss_thr: 0.4855 loss_db: 0.1322 loss: 1.4192 08/28 18:46:16 - mmengine - INFO - Epoch(train) [296][50/63] lr: 5.4289e-03 eta: 14:19:37 time: 1.0076 data_time: 0.0887 memory: 14974 loss_prob: 0.8102 loss_thr: 0.5032 loss_db: 0.1328 loss: 1.4462 08/28 18:46:21 - mmengine - INFO - Epoch(train) [296][55/63] lr: 5.4289e-03 eta: 14:19:37 time: 0.9548 data_time: 0.0704 memory: 14974 loss_prob: 0.7538 loss_thr: 0.5057 loss_db: 0.1288 loss: 1.3883 08/28 18:46:25 - mmengine - INFO - Epoch(train) [296][60/63] lr: 5.4289e-03 eta: 14:19:29 time: 0.9180 data_time: 0.0519 memory: 14974 loss_prob: 0.7190 loss_thr: 0.4732 loss_db: 0.1227 loss: 1.3149 08/28 18:46:27 - mmengine - INFO - Exp name: dbnet_resnet50-dcnv2_fpnc_1200e_icdar2015_20220828_132739 08/28 18:46:33 - mmengine - INFO - Epoch(train) [297][5/63] lr: 5.4235e-03 eta: 14:19:29 time: 0.8793 data_time: 0.1775 memory: 14974 loss_prob: 0.7104 loss_thr: 0.4709 loss_db: 0.1228 loss: 1.3041 08/28 18:46:37 - mmengine - INFO - Epoch(train) [297][10/63] lr: 5.4235e-03 eta: 14:19:11 time: 0.9797 data_time: 0.2318 memory: 14974 loss_prob: 0.6811 loss_thr: 0.4614 loss_db: 0.1148 loss: 1.2572 08/28 18:46:41 - mmengine - INFO - Epoch(train) [297][15/63] lr: 5.4235e-03 eta: 14:19:11 time: 0.8431 data_time: 0.0837 memory: 14974 loss_prob: 0.6585 loss_thr: 0.4518 loss_db: 0.1137 loss: 1.2240 08/28 18:46:46 - mmengine - INFO - Epoch(train) [297][20/63] lr: 5.4235e-03 eta: 14:19:01 time: 0.8893 data_time: 0.0309 memory: 14974 loss_prob: 0.6633 loss_thr: 0.4475 loss_db: 0.1138 loss: 1.2246 08/28 18:46:50 - mmengine - INFO - Epoch(train) [297][25/63] lr: 5.4235e-03 eta: 14:19:01 time: 0.9244 data_time: 0.0808 memory: 14974 loss_prob: 0.6644 loss_thr: 0.4357 loss_db: 0.1114 loss: 1.2115 08/28 18:46:54 - mmengine - INFO - Epoch(train) [297][30/63] lr: 5.4235e-03 eta: 14:18:51 time: 0.8584 data_time: 0.0918 memory: 14974 loss_prob: 0.6963 loss_thr: 0